diff --git a/buildEmotionModel.ipynb b/buildEmotionModel.ipynb
index 05faab7f8bd3e3158a21a790555b46fc64187a89..50ffec723037ccb8d3cac0c504e826507fac67d1 100644
--- a/buildEmotionModel.ipynb
+++ b/buildEmotionModel.ipynb
@@ -40,8 +40,7 @@
       "INFO:tensorflow:Enabling resource variables\n",
       "INFO:tensorflow:Enabling tensor equality\n",
       "INFO:tensorflow:Enabling control flow v2\n",
-      "WARNING:tensorflow:SavedModel saved prior to TF 2.5 detected when loading Keras model. Please ensure that you are saving the model with model.save() or tf.keras.models.save_model(), *NOT* tf.saved_model.save(). To confirm, there should be a file named \"keras_metadata.pb\" in the SavedModel directory.\n",
-      "Model used: firstModel\n"
+      "Model used: exp903\n"
      ]
     }
    ],
@@ -79,97 +78,134 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Array loading...\n",
+      "Concatenation...\n"
+     ]
+    }
+   ],
    "source": [
     "#Chargement des données\n",
     "print(\"Array loading...\")\n",
-    "Xf = np.load(\"data/array/Xf\")\n",
-    "Xe = np.load(\"data/array/Xe\")\n",
-    "Xa = np.load(\"data/array/Xa\")\n",
-    "Xr = np.load(\"data/array/Xr\")\n",
+    "Xf = np.load(\"data/array/Xf.npy\")\n",
+    "Xe = np.load(\"data/array/Xe.npy\")\n",
+    "Xa = np.load(\"data/array/Xa.npy\")\n",
+    "Xr = np.load(\"data/array/Xr.npy\")\n",
     "\n",
-    "Yf = np.load(\"data/array/Yf\")\n",
-    "Ye = np.load(\"data/array/Ye\")\n",
-    "Ya = np.load(\"data/array/Ya\")\n",
-    "Yr = np.load(\"data/array/Yr\")\n",
+    "Yf = np.load(\"data/array/Yf.npy\")\n",
+    "Ye = np.load(\"data/array/Ye.npy\")\n",
+    "Ya = np.load(\"data/array/Ya.npy\")\n",
+    "Yr = np.load(\"data/array/Yr.npy\")\n",
     "\n",
     "print(\"Concatenation...\")\n",
     "X = np.concatenate([Xf, Xa, Xe, Xr])\n",
-    "Y = np.concatenate([Yf, Ya, Ye, Yr])"
+    "Y = np.concatenate([Yf, Ya, Ye, Yr])\n",
+    "\n",
+    "#Enregistre X et Y directement, à faire si assez de ram\n",
+    "# np.save(\"data/array/X\", X)\n",
+    "# np.save(\"data/array/Y\", Y)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#Enregistre X et Y directement, à faire si assez de ram\n",
-    "np.save(\"data/array/X\", X)\n",
-    "np.save(\"data/array/Y\", Y)\n",
     "def loadData():\n",
-    "    return np.load(\"data/array/X\"), np.load(\"data/array/Y\")"
+    "    return np.load(\"data/array/X.npy\"), np.load(\"data/array/Y.npy\")\n",
+    "X, Y = loadData()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "error",
+     "ename": "NameError",
+     "evalue": "name 'Xf' is not defined",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-4-27f8e461a14b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m#@title Visualisation de chaque dataset\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mX_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mY_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mXf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mXr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mXe\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mXa\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mYf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mYr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mYe\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mYa\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m\"fer2013\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"ravdess\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"expW\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"affwild\"\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[0m\u001b[0;32m      3\u001b[0m     \u001b[0mN\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[0mM\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Dataset:\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'Xf' is not defined"
+     ]
+    }
+   ],
    "source": [
     "#@title Visualisation de chaque dataset\n",
-    "for X, Y, name in zip([Xf, Xr, Xe, Xa], [Yf, Yr, Ye, Ya], [\"fer2013\", \"ravdess\", \"expW\", \"affwild\"]):\n",
+    "for X_, Y_, name in zip([Xf, Xr, Xe, Xa], [Yf, Yr, Ye, Ya], [\"fer2013\", \"ravdess\", \"expW\", \"affwild\"]):\n",
     "    N=5\n",
     "    M=5\n",
     "    print(\"Dataset:\", name)\n",
-    "    print(\"Images:\", X.shape, \"La   bels:\", Y.shape)\n",
+    "    print(\"Images:\", X_.shape, \"Labels:\", Y_.shape)\n",
     "    plt.figure()\n",
     "    for i in range(N*M):\n",
-    "        if X.shape[0] == 0: continue\n",
-    "        k = rd.randrange(X.shape[0])\n",
+    "        if X_.shape[0] == 0: continue\n",
+    "        k = rd.randrange(X_.shape[0])\n",
     "        plt.subplot(N, M, i+1)\n",
     "        plt.xticks([])\n",
     "        plt.yticks([])\n",
     "        plt.grid(False)\n",
     "\n",
-    "        afficher(X[k])\n",
-    "        plt.title(emotions[int(Y[k])])\n",
+    "        afficher(X_[k])\n",
+    "        plt.title(emotions[int(Y_[k])])\n",
     "    plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "X: (152252, 48, 48, 1)\nY: (152252,)\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 432x288 with 25 Axes>",
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n4zitc1PUeTAG8WCLsLjVBIvscRZl7LHWE0cO8wRrdJynjDfb2FajZCKPxgKV4OPgwUUTQaUxahWqroUshfEELSvMaLon4zAXFUFUwQh1R7nx0DqH020GdkIiwTubi0FJxJM21rnVipPJRb720DvZ2N9lx7UY2BlehZHPGLuM1FRhHhrPuayPiFJMEsgtJg9GnssElwp1ZrEzg4+feuTzihSpKmRRhTUe5wyuNthCg1ITaSxFGxSq1WA91o1LNleWftcCN/J4K3T+mr88eAtL1AhUdXiuGlyZ+e/utQjgBJxgatCJDW6EF1zHwTSiblX0Ozn3XDxAYhw3dS9SOst7No+zlo3pRCVeha28xbBM2UratKKKWR1TVOF2qTPMtlphbOsQVpFKFucQj4S3bd/Cp7cfQvZ4XCpn2alavKh3luvTdXIfs1l32aTL1CecLQZsFB3GVcq4TJkUCUUV4ZyhrizqBDGKjTyzKsL3hEoNm7TpRwU7UYu2LWmbcqFMHRIsXJ8wdQmxOFJT07YFhY+p9KE9HROALzn8fn725BcwOHUOn0WoQDQDlwRFigcMaBT+okJdWsZ1ho0dUeRRFeK4Jolqkm5JOY2DeeV3hdOaZeWTYI2KB1MqPgKNbDBYnEPHkz0Zh4UIqBGkBpd5VrMJqano2xzTKNFMHAbFihJLYJh3QCbKminIkosc1Q22XZsKy7br4DAUPqYbFRhRYvG045JhkbGuQukELQ02D2u2bgkuM/jIYCr/N57ybrkiRRpFnvVZl42dDnUZwSgmmik4B1FzyCrsjprGQaECeI/ULii+uUtuTPgehJu6W+YbwlwJz2/8XFnPrdirBcKlIDOD1GH3lxqkFpKhkEcG33WU0wSXlaRxzfvOHKVzouTG3iX+8P5budjucqg/JLEhBLAzaTEtErpZsYiH+nm404MZRWisiAuWDDRxnlIoXIQFzB7zudTeUDrLvmjEddEWG67LpboXLEaXsFW22SrabM8yRuMW1TSGxsoGmgWm+EgZG2WYBLfeqzCtE4ZRSjcqSUxNaurH/e7MJ1TekpqafjSjbQtGLqN+Mu/oeZZT+T7ikYOyQmpPVCiuEHwM+KBAXaKo1aAtNGygJgprwVpPbB1FFVFVUVgOVtHchM1cw7ipCXPDR4qtZTGu4sAP2pjtxovUp640ngtRaR4RYKFWQyY1Bk9mKjKpsY0ShUCHZUWwQN6s/47UeBUScaAQS02llkotBiU1NS1b0U9yplVCHDuqxKO1h+LynPCxgBXEP3W9ckWKVFBOry9TzWKoBKmDNsc2J9O4236pS93P0CgsZvGK1IpUDlGQWYUZT4NytE9iRs+VpghUjTtmTXi92bGvKlHBNOMRngd3zcdBuWluUCdsrfdY2T+k38l534UjnFjaZHkw4dJ6H6/C0aVtrPGUZURZxORFvHDrRBR1zawTiCYm5N78/BEWTu4iMjHoHhP/eB8U3tSnTDRZTOzcx2zXbdZnXXZmGeNJRjVKkKJJMkUKiQ/KwQU3tRwnXJQupbO04orCReQuJncxnUaZTuoUr4IRpVZDYmpiE0IKU5fSs1dE7vOsigKnpqvEoyqEr1TZtQegEfhYg1LxEnzxSLFpc/+9oSgiSomw1gfHzBuipMaJ4vMoJNsSEBfmidSEv00iCyGsITFIFIHs8WIS8BF4CypK7Q2x1IvkatwkmQDiXXPaAJVCqYZEPEa08UzCGpy6lNzH7ItHAFRq2a5aWOOxxmMij7PzmByXw3MilxPnT0GuSJE6b6jXM8g8UhlMKZg6KD0tSySK0G4b103RSPC2USxWkAjIGoXbS4i6CXZnhkyfZILvVq5p8vhwgG+U6dz9t3tvZQDYmWBKoe4qpqJxFxSXaVgUKJSGzYt9VvYPcd5w36X9HFveYjttM95sc/8sYXkwwdcGczGhbHtIPblVTNwol1rxadhNkm2DmqB85oHzT1m9DyPC3toZQG04vbXER7sH2BcNSZo46dilbJZtLg67zEZZyEQnHm0y0xKHSY4KGoFGgtaGYifjwjBFojAWSVrRyUo6SUk3KUhMTWKDC+hV2C7bjKuUQRLTbRVUV4E1KsDXHXgH333yBazeVQfvog5GBoS4ptrGS295NHPYrCbLLsd28zzG1wbbLkmTmigKFupUEioVVC3Ul118jYACTDWfl4ppEr+qipi9D435ODxEhVotRpTcJ2RSkYkjE8UARWOkW6Da5Y06Qtgn9zG5xlyolhi7FItnxU7INW48mRiAyDqSpGY2jRbxaFMrpn76xscVKVJfm2AxuJARjEeCqXRhNeqgi0YmWJ4C9knQN/Pgso8tDFpYkaBMizIoRZHHu/FzKf+aTgnOPfnrz6OID4pUoyYWVUmTOAgWhRoFq5isRp1hc71P3CSN7tk5RGeQ42pDvZ2wXliSdkXZt0SbERoHd9enikaKnZrmxgs+UowTzEywJWSvu8RX9e+hUt1zolZxYIzSshWJOEq1pFKzPx4xqrLLn5tnQSRY2yKKkfCa18ZVBXCC1CF84o2S24RZ1GIj9URZRadVMmjlrGQTEutITE3pI0ZVyjRNsBIgZXstn9LKma0JWIvkxcJSDNCcxgqVcK8xYc0BJFFNPyuYJAllbYmsI7Ye5w1lbcO1+ZBV0qjJISjYPMwNlV04w7IKGXvn0Nnerx81EjYQq3Sjgo4p6JkZq2aKRReWpxVl1OgUK+BUSMRTqsE10Llcg7LcF48x4nEYLlU9KrUsJzMiE8bMe8NsHobzEOVhsxFVxD3Hrj21EO9YbC6kW9A962g/OkGLElke4FrhIsQrpvbBNZtLs/PJLvNcrcG3YgyEzF1ZXc78z7P2fwtEXMiauxjinaBQq57i03lgKvxRL6SdElUoxmmwHIwy2QmKRbo1mluqSy3IHPW+ing9xhaC2ZxbuGBziCcNZlDBziAeK9//gt/GiBBfBbEPU8Fkp0XtP9YSrNTgnGmURlC42sB6BBoFGpSKGAKUjLkyCAk2MxPEGdRC3YrY7sXk3WB5HOwM6cUFowpyFzOpg2tv9jjcIQgGoW4DRpCiwuYetXaBo9TG/ZZa0ASM1WCFJrKAPhlRVAP2tqgt3hvqKkJzizghGhnmAAVTNRZuDMzAJRK8PECdQ/bao1MwTjG1QOo42blEJhWeAGnb8G1GvsX5asDUpwzslLVoyKodA9BpLjQTx5KZ4hDWoiG5xjxS7ON0vYIRZeZiTo1XOLfdpyxifC1QBY8OwhiZSnm6rtwVKdJkrNzwy1tI7VFjEOeQrSEaRdT7+6gIpqybrLpeDr/4ANpaQB0IuxAiQZl2UsQYzGSGjqdIEn+sEjUmKNerJcH0BFEJCs7mkK8qLt11nonHJI44qUnimtksQaaW9JIl2YGqC7NDNXRqTLtGvUBpoDLUPY9aQ1IIyY7AKCjObNPTulSjRigHFm/hVLmPz2jNmGm558mmaOoZvCflrf0bWbthxKFkm626zWbZ4dx0EBZ+bUAVH/lgmRJgdd41lqkFEzlsBN4ZvBfUCb60MLHYqQQguwtQPFcbJmVMnoXYaWQ8uKC4Y3GP28T3SjxK9xPWkV/sh4ST05CxtyF7Lz6sC1cqvhBc20DqqUUZ+RRrPcYozhmqMqKehqXcOpXQe7TJystlEL6tPC4RZmuCK8E4oVppE19sVMAeK9IFnlNgeXXMjdkFAM7XA9aiIUtmymoUsKR/MryN986O04lKXtV/mCUbEAf77YjD0QgvQiYVI1p8eHodp2fLDOIZj02XuP/CGlURYSJPnNQUdYwdNyD9ZqMxpUdtmFNPVa4sRpoIcm4DiUJItzpxgEgCLMm1IqpOhM0j4nHj6ssuK9QrWAlm/G5QfmTwRiC1SC8lGmbopa0QCDcmWLLu8dbpXmMkn0yi/HJgfxHcd4ImYZeLYkeZx+h9XVobQjxWbK7EM0889vhImK6l1J3GnbXByownStUOVn7vdEmyOcMMp6g1oSrlpgHrtwuti8Kd42PYpceIFyH3vRMpSg68e8QjqwP+pHMLr93/IBeKHhemfTanrYADzEISRYwPnr0X6spg4pA8cM7gqqAZFmCNyCNZHcLmGmBmmigmdURxWAGzOmZHgpUfNcBsp3tvpc8TgD/8gt/kR5e/Ars5pupa6ja01pVoBrZQ0h0XjJXIUPYMw+sTpocj6uUSsUoUO7wLoaD26YhkBIMHK9KNPOAx2zFVz+ISoeoEZTF4yOHSYMwUqzGJNYgI0linezcoYUyKVc8XH72HJTulVMvhaIu+ySmxbPsWuca8oHWOri04Wwy4a3yUG9sXOBjtLA7VNjWPuZiP5of4wNYRWlHFfRtrDEdtet0ZN133GF6FjbzDRdNlNo5D0tZC3Q7hOOP0aXnCV6RIba5MX3+CeFxjpzWj61t0TxviiyPizRnROMK1QzWTVB9rAYhqY5UGReEjg49syO4rqBXy/SnpvjbxY9vIeBrAw3P4U2OVLqByV5FCdQnEReNCERTpPO6DE6qLLaQWyhVHuQrJhiXdFKIzQtkzRDOltemYRpbZmlD1lWxdaG04jBOiqadYiTj3miWue3uKVJ7ZwYzN2yz1Uk3uLacnywAEANTeiiYxxUqKLeDCdo8z/SWmdULpLXkZ48ZxKFgwikSCtZd9Kl8Z3Cwi3rLEw3C3q15I3GmqaOYuxwJFUNuUDholiVwAZFdZKE01nlGdMvUJ7moIeSC8PBmFij/vqVtC94ySjML/ESiWLKY2RBNPlCvd0x5xATbm+g61AUsqlcE4iCZKvmrxaYuyY5gcMhSrDSB/KsRjsKWQ7njKnsElJsAVrYWlftPwZe9EPHSP7/CKzinaUuC0xbrrc+fsBG/fuJF7zx5AL2Qk24a6rSQ3DnnZocc4Vy7RMzmZVMQouRrOV0ucyZcZlwmPbQ0oywgRZftsnzvvWSaeBIVZdUMsXlxI0lYdqPoR0YXi8cntjyNXpEirvnD6MyzpRky6CXUHbJGQnKnAGszOBEtYRABYgyYRGttghTaxU6k9PrFoO4ZImlI2bXBvwmxfgktXyR4CRhMkSxvwvoQJ4P1VkWTaLWognijTQyFwjhcExeRNgiT1+K4DJ0RDu0gyuCZbOVwLlsnsgJJcP2SQlWzev0KxYjGlYAvL9AUFUTbjfNElmsDOLR7tlcEtNpbCPZOehs+u1G3L5q0JxaoSW0/u4pBEAvJZQrIeBdfcQ9VXqmUHsQ/5kNqQnY/onAnWWdU2zA4IxVIDrTQmKFIblIU07n6dPF5RalNnnUvMdtW+KqxSgK5JF6XSpoYo99SZMN1vyPc3UJ8dw9KDQnapItkqiWcJ4iJGNyraEYx1UEO6qXTO12TrM6RydPOK9vEliqWIsivUWYBDVR1BvAloklTwSz1kOGL9dQdDE5s9ElHwifCS/efomRmZqdj2bR4u1njb+k088MBBUKF3xtB71BGPPafjHu/zRzFHPDdkF4GQfPIq7Lg2G0WbrVGbYitDcku6YTh4tyOaVAyPB92kBvI1g6ka+FUKVVvIjKDJU58nV1bZBJhcmB2uqTo2wNymHo0jfNokjfISmcyCorMWSWJ8pwVZhNQ+WKqTGaY5CY0bF76pn/ftBNcN7kZ5ZJnkDOjOOLggdldk+GoC5BPgTlGh+Ma6Fk8gG6nCTTOlYIcBbtG6KKzdOWW2P0UNdB8aU7+sz/aLHeKEujastKZsLPeIj+eUpaXYaMEkgrMJVRfyfQpLJXHiqGYxPlIuDHtAiMPttfgUJkc9bqWin5bU3pDZOmRMxzHJjpBuKdmWp+gbRscjqoHHZx6phWgK6Y4nmikuUUwh2Dwk8sgNOgetG5CyibV7oawtVjRAoqyj9obIOLarFvVVoEg9isfjI4MmMS4JyJe6HTbg3kMwOFWRXpxiNoZUR1YRVdpnpri4w2y/oSZFW472hiHdcSBQrmRMDsYkY0//zvPI9ftIt5swmirDEzFlTxaKo9zfIT0joTJxD0UlYEiBBXYUYOSCR5Eu57TSCn/PCnXL0DmTo7ZFVVmGZSuA7pvvGQKWtPQRxSQhOxtT9TwuU2zhad97gdGRI0wPBis9mjbVZHPIWRTA+NvXZ09ypk8uVwjID9lpANf1aOIpB5ZWK8HkZXCzsiRkJMfToEy9RbxHG0iBikAcIWUFziNVvaiA0laKmZaIU3wW4WOLW+kSzQq0qpDo8RcoIleFe68C0STEkF1LF+69qUOtMxJgKKaE5fsr2g9uce7T91N+6g4rv9ilWs7wEZhuRbeXMxq2mFQJ7X7ObJKEpF2vQicR1VodsJaJY6k7YzhuIdbjVmrs2wZUr3ZU6vZclWqk+LWSrFXRSSraUUXuIkZ5ip0Y7CzElG2u9IYVKjGjk0KZEqBODmylpFslrfM1Sx+Fqp+yc0PC9IAh3+8g+th4lqowLWOcCoM0J7FhwnoNjFB7LQ/XOT+98VpsXqPtdLGA44nSPVuTnQ/x72JfC/a32boxIRkrgwdn1FkgJNEsVPDUbWVy0LLv7orh8ZTtWyAeWuxsPy4zzFYMKx+Z4loR2aZnut9S9cK456sRWZaFcMIeiktDqG99Fjg8OlKyasccSba4/uA6a0dGnK5WOHVkH/cN9zMuU47JDivZhE/bdy9H4w06UrNiIpzWrEUjlpIZlAZ365jj+7Y5dW6VjRe2GB88wmy/UOzz1F0h3WgqvgJsCFOFirDpgec4RmpKSDeEeBRRdRTjLHWmFAc6ZGeGTRxTYHuIlhXSbl2ON0Qm4NKzCIktZqSIa5RvGqPtFNdNMbM6WK2Fg9hSdxPMah+zvo3OcqSVXS4xBeQqcPGNg+45R9kz4An19QZ8YZAa0m0hGYaFIk459xn72X5pRc96tm+0VB1LdXLG6so41NUrFHXEUnvGZCcj7ZSknRrts6AG8yrU3oSkTGGR0lB34M9mYbOZ7rUmNUrWLum2CrpJKHUtfURRRcRDQ+8xR+f0FDMtoayo2/sYnbSQeszUYOcg8mmF3RyieUHWynDZAepWTDkwuKjZnBvcpHcWbcalav6fWEcrqmhF1Z5bpAr804e+jEfecoIDSwFDOtsvtM9D61JNdinHpxEXX9EhypViSZjtV9JNYXKo3bjBzY2tDD6CYhnOviZDo7A+8/2eR74I7EjI1oXtW9pEuVJ2hKoXYvnRDKq2QZf77LWRrl1HOYCdIluwd62aKbekZ/EYDJ7bs0e5KT3Pbe0VLlZ9DMq+eMQNyQXW7IQV48hVWPcBhH9T5yLTW2MuTnuc7G1wY3+dyQ0pl/IOG9MOpooYb7ZBY6JpUwghwfDxiSHZ+TgnvUuuTJG6kEk2NchKiG+lQ0/dMhQHeySbs1D21mlDS9E0Rrzi05i6G6MSAr2RNUiVIlWNdlrkh3u0PnoByatgoZYV2grdnN1qRn6oSwbIhc3L9fqYq8a1n8MlxCnGmWC6Jx5aNWXbUg0M0cSwfUvwYexMaT0aU51exq0o1WpNq1UtYojqhbyKWGlNEaMUo5Ro2dNOAz/j3LLyClNvAh6V4Kb84c6LAdhxe9v2SQSiyNGOKyLjGdcpRcPoZAtoXSgwDz2GtFpor02dmVAFJoFDwKUw3RdRdnuI9nBxqIX2MZT9oDxFJQRNBaQyuNJQe7MgPimKCBFIkposrqn93moNp56PPnaA/Q97JoeTQJcXQd2CfNWSr3Qolg3lAGYHAu1dsi34lFAFVTUA8kkIEZk5dCdVXBrej0cSsLsqFMuKa0mIIceBt0BtU0HUAjdokYz3dg0dyEZEr9iirC1lU0Ycm4pVO8E1aeVcYzqUvDA9wx1ZRc9UGEJctCdBF0zUk2uobFqJJtzQvdRgiBP2Z6EIpHAh8bRYP6mGpaMsYFCztYY/5CnKlbn2TulcdAHCJIaoUEwZaoPLQYSpUuILw4b9qTnZbka1nJHvixe7XzI0JICZ5lDVRNMarEFGE7TTgm6bel+XYiWh6M8nf5f2aIaOxkiWXa7Fj/Y+waImsMf4SHBJU4pTC5IoUbekTiyshZyxGEW9MMsjknZFZD29tCSLawZpzvm6h1ilyGPoQ5zVlNsp+Swhto44cgvS2kmR4EqDVIHU1sewHE/Jfcye1zbJ5TOYW8/jKsHVBokg35cQ33495SCi6BvGRwU3CImzuueYiqUchFCQ2mCJ+TQkozTWwAvnBVOZxUbmakORB1C+rwxa2lCrb5VJGipa9lJKDPGDLaLCUVmYrZmwYRwK5cU+hTrTBV9m3dFF2aidStg4GlEbykrFX+YvdV0N807Bd8Kg1BrA/aHKKVy/jxWfhPjp6Ogeby4YXnvdw5yf9ag0osSSaU1b6gVlXiIlqRi8KhP1zHHzMbDeeLwW8E2Z6F9un+S9p4+yf2lMNy6oveVEe4NOVLKed7lguuSzBJ/ZkBR2AdWQL4Vxz7aeB0WabNe41NCbXgbH17Gl6gh1lpIMVoknNaZw+NTiY0OxFFG1hbIXbnKdSggcuz7RhR3i8zuB2qvVC6zhg4zhiYxiYELVQxV4FN2+PmY4CrHXOWj/icxReyA+gskhQzJUopngYxuy9BKhiSPrBNanNK4pqgivQqddEFlP7QzWKIl1jMuUsg5A9aoKimfQnbE+SnA7MUOFJK2JIof3QlHEgVexlEXs+vN6H6Rtan4/Gu/toDThh7yOaMdlqC4pY+oigq6yeWtE3YpCLDWGul9jUheKETKHM4rrSaAMhGA1JD5UOZX2shUuAWTu47C6qmnclDALUgl2GhStTxTv9lZpVGrpnlfyQZM9b2tIRNZQ9aHu+hCvq+VymahV7ChUEzInHoEQOrJBgdhS8KniU4fpO/wsQiqDRn6RSJFKUKPYIpA+Sw0+sXTP7O36yV3MSjzh5vb5BalNYhxtUxMLZCLETWVPheIJNtqmS1h3PRwBhH8y2uF4NOR8PWBYZXTbBefWBzgV9qdjurbAJYZaDaW3jNsp43HU4NTnHp2E/MzTQA9emRnnQy2qqYILZupAIOJjg6mD2+4ywccxauMFxVvZkQb0GkxoFcGlBpe2aXdiolHTfqMdUw4i8mVL2Q+7qBdpamDBtSNsq4XOZoEgJYvDtrTHYqrwcGnIikazUIlTExhtIFhlIsqglTPMQ9iidobIepaz0Dn2Up5SNlYUcVA80CiQcYQfxZQKLhbqPEYLg5QBwgFhbG9PU5xeDZB8qGvLTGJmcYA+hbgl1D1P3QZthfkjucVODL5KmHeWkVowRXhS9x0kHvVhIw5WfYCVBfpACH6ZXbDCowFaFIh1wNfwuDYweyBzG70chDLRaEqwsBvWpwXjk1U09g2nryBeFvfYJ6CpR1o1miehmrAAaQWFoCpE3QrvBK1sw1HQbCxNEs9UAfifr8Yhq7+H0rU5n977MEOfse3a5BqTUeFUiKVRnAgGQyyWrsCmL3lffmIBd3qsWOIzlz6ERbknP8x23grltALnT69QrJwnMxWFRsxczFbeoiiiy2MCoCFM6eJA8vxU5coUqQhSK7aqA5fihe1AmdeJMLVSp4KLBZJwYrbURVyrbje0cgJah0xl0Yc6S4hm8aJWvW5dvhDROStL2FVdbAIqYDJFZzNI42CZXgVS9sGWhOuehcCLiQXnhHySUKc11gQgtWuSRBCYaAAmVUJexoGiUABRIus51t/isbjmwmgfAOoMtTNo1SjRMiyOBRFwI3IVKFLnhEospbO04yYGrAFATxwKFczMkF0MAX7jFFsES6tuByWqBvLCUq4BqUOdWYTGxUlo0VE0sJ7isq4UF1ASpgohD9flcaD/vZBYasbHIN2CeBySaT4WXNKUKDbkxtJy2MgHkqDCojaQ0/imwMP2ywU3q1qgCsD7ut+E05wgNpBvaD4nuZmXjcqCG2JyyFL29nRIEMK4LNkp264NBMu9wlDhqVRpC6QSLWB9F1zCuXKJlWjCf/7QJ5He1eZtn3Ajdxx6lPeeP8rovuVw35cctBwryYSuzblUdRlXgUTcVRZTmIZJLpzLvFioWH6OFalPDLP9KdHUkW4W+M1tJIkxVRtxwV2hwYXFU8XOPNMDUYgdpmGyBPxWWDDzhTLHt5lmt1ysBg+2asgE5tc2x5OWITGlZo/TjhDcrEQpB5DszHvvCCYGX5oADK8M23m8IOqIYkeS1kilTEQp6sBBKgJkoVXJpQdX2DnQoi4t7dOWYkUxK3lQtnNCZw312VIp3u6txbVbVEG9wblAvzhIZkyzmKF2AiFHBHZiaJ03DB5ypNt146YrdcsyXYuoOoJRJbskiFrKgQmQJxMSUk2nO6QOIVNTyWXSD9cw+hSN29xzCyjUXklLlN4rznHpTw4TzRRTBiIatY3VqGFzsZFHjMf70AXPTuWyu6mQphVVZUOsmKBMbQHxtqVKPVG7RH0oWhANIQ5TBRxu4INo4vjwOD7UvRCP8J7ZSU4klxavOTXkapl4z5LxOJQah8Gw5XPW3Qq3ZOc4Gm/wVS/scOrkKvvTEQ+O97G92SHSJkySej7x5of4xO4DTHxK4aNF6bEvLLbp34SE8ROvuEyYHH6OY6RuxXH+EwxqDCsfjlmtjlL1UkztsUUgMlEbaLuiiQtckk39qsx3wjo80lGoL3cxi2y+J7wXT5R5HyJTB2jCPADv2wk2TVFVdDJFl/d4SyUE++t2YHuqfMD6iWswpBqy0RpLABpYhcRTa0iO5DZmbNLgqivY1GFOteg/HCotZuMO6TRsRPVKxaIyuqGYC+zOTbY/Dplhj+45sTMs1ioiSi8uqFsTzsVLmK0IRIh3DOl2SK7kKxFlzzQeSaiac5liSiEeQbol2FkonfVJiC0iTZIlCwpi0YVzXrfRtOzwlkCQLHtrkRqE6/sbnOsdIp4I8cSjRhouzhDOEBXqSYztVJjY48cRyU6IgauEUMX0YgcU4qnQuhAMFLUhY++jmNpoaMToQoxZpEmozILXNF9LyVDZa75rI8rJ5CIes3iEXk2hP5MVoVAP1BTq2XBCLDUn4ksMTMGn9D7CeqsPwMDOyK+PuSc+iI5ijh+9xG29UDFVqsVhmFTNCnJyOdIjkGwrLgl5HD04e8rnf0WKtBOXvOq192JEue+2NU4fXOPgu3JM4Ro4hqI+1NRLE9/Mtj3ilXhimoRUcGXEKcnE4VoG0YageBc7lDSkt7bwuMQ0dfohQG6mMzAS6Psme898Hto7sNjZoHmuYXKLgi8bzsVI0VpALN4EperjEP8ziWNlMOHSYctOlOAyR/dUIOYY3lqDgXKSILtc1HnTNCS0qLBi8Or23LUPUN/AVFQ7i1PhQGtIu7uP4nxKPBKS7fDZ8WFL1WVBaqwxC6jOXJlG06AEfNNN2Uche6+JUncC0XWwKoBmTOoMaIU6fdupr4JgB7ygc56/iF4Uwg2xLOa51I11VAtYwY1jpDDEw+DpxSMl2/G0LhkmhyLUBKKT3pkKFSiWLTs3hM/KhQR3oAzKogob0DzePJ+rYb3B5MjejkqE4wXJOhblT6Y3k/uY2F42k3NVMhF2vGPbh0aJFqVtKuasG5kpg8WpESc6m1xc7rI+W6Jwlotlj9PJKrE4am+bFtbNxUMIhylU3YCzLQdKq1M+jfO/ArHi2Z+NeHH7DC/uPcZ/uPn1bG2lLN9XhIZRKqhtbphXsks5ZlahkSFtJ/jEkK/GVC3BlNrEiELg20dNoF0v192L2/XcNXH4SRnY+FsZm1/8ItKvPA9vvJKreRbFhAUd7xjKJY9PDHZ6+UbZmUCqoSDBA41SnccJ1VsQJU5qqtoyWJ4gKyHrvtXqgwnsRlqHliWa2+DLqlksDB8HVvXwk3uvMkSUOHZ4b5jkCdtlm2ODxziytM39cY9oKiSjsGm6dM6xqk3Sbr7Yw1yaeyhVT6g6jUXlmsRLpPgUnA9WajRXtGngbvWx4ruOA8sjJntskQJ8zeBOfvroa6l3Wug+IdsIOYA5JtTUISSiBuKhEM3CXMm2Pa0LBUlmsUVTWuqUYmCJp4EqT5pcQjwU6l5oBS6NdyRNCATmv6PkK4a6tbeeS6URZ+sepVruGh/lJd3TVBotmhmiilOlQrAoHiWTiqmPMeLJfcxj1Qr3zw5wqexSuIjEOiT2XLg44IFsjYPJkLYt8IT8RF3ZJgHXDEdNs2lDeaCm/TRCQFfm2quhawvuyw/yut69fOnt7+M3ZnfQvhiTblWPK/b3cdORzymmbqqV8or0EU99YIDLLC4Nnzd1sGDnVpz4y8pzHu8ydePub41Cfb7zbN8E//z4X/AXV3Ixz6ZogNn4GAbHd9jZaSOPpLhWwNgmW6aJZTbubqPnRCX0HrMhbqoq5GW8SKZY6+num9DNitB6d6sNhQlgf22am6WKmXcSNXvvzs9FRDFGG34Zw7DIGLuUpXSGb/nAdu8CYUfrkmIqv2Amr7uWOg2TIRk6kp2SqhczTGN8etkCv/xjNPyvghaAhkVRL9XE/YJBu+DWlQuc3vOsPcQidDo5eTsLIaDGgo6mLNifXNZgI4ugRMVBvmxwSYZpDIqoCMldn0G+YnGZNMlZqLtKNLS4XoBTzduNPC7sIUHxRpO93XQvFl1++NTnsD7pMCsSjt96ibJppV2pwYpjpBExnlg8mTicFyaa8MHpSX7xkVdx4dQKdhIgh6YIVrk1YRN9pLvMzf0e3aYhojVNp4Qmlq5AMhaSHWWWCnGveFrnf4WKVJi5mP3JiA9Oj/Oq7kOY1yhv+dAn0jrvAgmJkUW/JteO0KgdyEoU3L5OA5GyixpfW4ZeKR4ud8SsgyKduyLzrn6mdCEu6jwSGU783oQPfc6RK7mUZ1dMIHJeuUuY7qyQWli517N5W4iPVj2PKWVX0PAJ329wbOU0Js6C2VDlETKJMDPDzCjx0BCnAacaTaBoyKPV0oCtIT5xFYQ5GhEhVBM1fdgnZcKHtg7TiqoA3Yki6jbEM+g8uAW1Y3bDKsXAhuqlboPc8AbRhGIQIHF1az5Jwh/TZKUDOW9I3JiKUAnUrvmkEw/z4u5jxOL4g6ug1v6DZZ/hZodUGysobXCeThdwLqkEW0O6HcITIZsv1K2QpDMVYbNIQ1WUaSBggbtA8IliZ8Ks3ZTPIgt33tRc9vI0kMvspbjact+jBwKdolEeme3jxdkZ7K4Yf9bETCG0HJlowgdnx/mJ938qrbtbJH1Fb5jgtjO89UQbpklGCtOsw5n9SxzMRkzqBOdD8ldFF+TX02OOfGpwyyX9rFp07n0qcmU0et7yV+sneOOhe2nbghcm58l9zK+/QFm9W4gmFT4KZMxqmuSKkVAeaqBum+DCczkGamptyt92Kc55zxSRy21svBIN85Ctbwhpo/Pb/M4fvxp485VczrMmJvKIg2JVOPzOnGhcoVbYvqFL3YI5AzdcDs2EJ7DoiqoQtyqqUUp8KSJxobLF9RymW8Gxmk5SMbpvmXjYNNrrBNfNFsG6eMnhxwCwe90ZcpeYBvJVO8OoSJmUCeoMVS9A4KKpadi/Qta+7EnTez3E0od9ixq7aNkrTkIIQwjtRmrBZ4rvBHcuHwgytZhCiJOal/ZO8+LsNO+a3Ejhrwz192yJAK9OJ4jRRV+vOfuTjy/Hfl3HYbYtZT+gXHzUMDYNlKoflGSUS2g90/KIF6JJiIPOO8pWPW0Czs1m2yhSH0HUYG3jMWQX935zmStRVeHUZIXhICOTCmcuW4dzGp513+b+4iC/cvoVZB9pka957vjEj/IV+9/FH++8kM2yw7sfOU59sUU0E+zMcHHaIzGO7bJF6YJKnmNqVSDeN6PTKgI08WlutlemSIuIrXGbX3/odr705AdwCK/KHuVrPuXPedvvv4ZoVGALDe1MRdDIoJHBxhYVIR4Z6k6EjxuQvZ93UGxcjqayQJw2lm2AEaHhc2Zngncu8JM2paE3/vwWD13JxTyLsppN8B2Hiw3TAwktEaJxSbqlFCvB8lhU6MzDdHM30xBmtgrVVkY0CsmlcsVheqGm2JeW6kKKbBp6Wyw2nJCECXhJm8NKMgVC5n6vpa4tG5d6i1JOrWWBNJA8WOrewmxNGN2yRDx2VN3glrkkKNG6FdxUnwRrbd6dlUIWLqprKdqt6a5Mcc7Qb+dkUc3mtMWNK5c4Gm9yvl7ibes3Mcs/sJdDAkAqMT/0ib/JD979psZtD3FhnwCmcesbesB5EYtKCFUYJ6SbssCFRl4wZVMMYxXXDuGvhS4wGhJyxRzl0BgxTcz04ic5vvSO93D3T+zRYOySef37YzsDzuxbJUld6E/fuPRTjXAIp6tVzpQrnLu4xNK2witHvG75PnKN6Uc5ozqj151RtUomDw3wXcfmpE0/zam8pagiXGGxZYCE1S0ljtyCh+HpMoRd4dYsgfOxSPmle1/J9OaENy29ixuzC/xJ25DlofxCygqqGrIE2mlgcorCiUbDHI0MPomw04aEI4kC0bPAnGc0r4e8690/wSe/4XswKsTr04BbtRaMDbR6zmGughLRFTPlTa95Kz89/HSKgWCLCOM8vTOO0fUWbdjy5zFfFRoLYa5cQ+UJkVKvVmSPJKzeafGRDcUJGhJy9fYmd//aj/CqL/4BXBoFSFkdkAJ1B75g+c6rQolCsBbb96RNV9WGcKPxNFwWkkaurZRLyvYNlmgWgJIqoYdV1dOmvr5JOApAwEJGU8GlSrXsMcsFSVLjvTDbatHJSj770Idpm5KBnfBAcYBfeOBVlHcPiCaCiLwV+AVV/c97NTZf0r3Ea771R9h0MV/xnq+n9z+7i2ufNzHyFsqBx+aBxal7Rkkmnqq9a6E3sdLWhZJiNWZ8yDI+DvXAIV5CiagGV9+XgoUFXtslAonnm1bfzo/tySjsEg2WgRhlMk356PQAB+IdYmmDmYZEo0aUahm5jJVowsuvf5QPrN+IP9vlnYdv4Ib2Je4dHWBcpYynGeUkgUGNbdVMhxmXsg7WeCazBJlGIQHsAx1o1KBgnhBBv0VEvv7jzZOnpEhF5LXAjwAvBJykMcO7LrLy8n1Mz3R5S+sWzuV93v/bL+LY3efCbI8smsT4lS4+Ca1HgFBO6hRTOkxeEe1MkdqBMWgcoYNWULYaXPy27fMpn/DdkHvspEQubATGfecR75AogSQOiafnUZ44JsA9N95g+crBnfzlHSf56OQGxBlcmpJdqmifjZgcDV0SfRwsg5BBFfChvbXGTV21gt2MyS5Buh3iynOOxLJn8PtXuP4HfpgLLSXZYtEmQRx0P2Gdl6ebeLI9zdqLyCmg3ekdYv+dJVIr5x99F+cvfIA7bvgaqD3FwU7oQ3Rg7t42qIOk6ZTa9peJSQApDeLhof/z27jxG/45cWcNukLVB1dYZqMYM7FkQ0OxZjkUb3FdvMW26/Drj7yM1m8POHT/jIuj6m889+dDbr7jNP/Pv9nHp7wu5Tpr+a07/iOf8mufzOT338XRb/zW4G1EoTBynlDsnXF0H5lgpiX1UotyKcHHIXzmI0geOEd8d0H6ohOobbHTlV0FLA4zjhfJznkPd/HQ/UjCg69bBs4/7+MwnyfxsUPhBRWGf/YeJu/8AHf9+JdzNNviSGKZmBSLkmtMpWGz7dkZq+mE1skh+UcHvPstL+SdN+Sh5+Y04tFv+Gcc+7Z/jrykj17MsIUw7qdY46nGCXZqFglaGZQfg7h+Olbpx9U+ItIHfhf4ZkIQMklWu9OoI8ymCdrybK33uPPtqxz/tTPoZBZY7OMoUOB5MGWNj4WqY/GDhDoNWch4qsTDmnhYYkc5iCAu4E1xihePMbZRvDVc2gLvIIoQXwX+OGsXrsrzJU82JsAnR0b+sGcsX3TgTr5/6XqSnZAAiSeW7jlP1TPUHcXQxHxrBVWMCloJMg27o9qQRa16sLnfUrcV1/EBW1jXEDf+rA09Z+KJkGxBuQTfeP1fEV8FsKdGbJWPSbaK0HJ4OEPKGjlzAZ3lZP468tUVqo7gk1Aa7NIGsjRXogpSNZyzlRBNwv+TbYhVwQh+26A7SeiuCtSJY6U9w4pyvl7intlhNh5Z5tiFOsyzq0gC06ZyPIoWm2tIGIV6+VC1BDWhBYloB1u0iCYOW3jiUbCiXMtS3HIYUWW2loRS05kJvKUJ4ALgPx7JZc/ABw+nd8az7vp7OApYP5w8/hWFS1s93pmd5NUrhkEUetvHUtOzORjIfUzLVsTWMd5fYU8nyGMZvuWJRw3BSd8Re6F1weCy0N4GUcw4wo4dtoiY7fe0OyEOe6Wk30/FjLs5/ID+cvN81rv5IEu3LnP25/4YvbTObfu+lt5d55gOL/DnG7/IZ6x+PTbNePe5N7PcPsLm5FGGxQVec+zruGf9j1jqHmFj+giT2SWWl67nthu+mDRLKEbr/PmHf4oXHvocHlx/B61kwIuPfAF/ft9P8saD3wzTnLP6MA9O3kfpcxKTchOv4fDgRXNluioi9wAHgXcD36iqj1zRyDzNMQH+6GUvTfjRfzviIw+/H/3iz6O6lDGbbnHn7/wAr/2cH6J9IeWet/wU2YkT5A8+SHH2DMf+t+/g3G+/mezIcWYP3k+5cZH2iRtZfdNXoEdT6uElzn7Hj7DylV/Gzu+9hXh5hQNf8iYe+Tc/yMkf/BGMwM6d72brT/4IV4/40Z/xuO/o8o++NAYM65s1z9OYPJn8aFmPf3j7kBDbAVXRQWcR9S1HyS89xkce+1WG958lanU58ImfzeDm26nbcOq//BT9F7+C/h2vRgXG73oPO+9/Fzd82bdw6pf/PQD3/ua/AYRjb/hyWO1z5vd/kX0veS3rH/xzshfcxEtefyv/+hse4IEPTqiqD9I69FEGt38J9c0D/MNRgAHtkey2fHwTLI/FcuONZ7nrraHgYPgHf8rwvX+FG02IlgYsf9bnIC98MZPDhtF73sfOA39FfPIwk3e9n6jbZ+XLvpje4VuIZnDql3+S9OJxZm++n3L9ItktN7Dyv34paTHgsV/4afrXvYBDN7w2JHaBu/7nv+X9n9R5/gfisvyoG45+2E9mmE5r8aL3wj13Ku/7xTsZ3XeBznLCZ33rDXzW54ck1L/6mg9zw2cPkTtOIkbZeOSdTN76Xg581zdx5t/9JADnf+jHQYUjn/73qY90ufjjv0jvDZ/E6C3voHv8ZtY++4u5+PM/R/HAGdR52rce5eA/+jzifU9vY3kqad37ACciPysiny0iy7U3jC510FFE6/2O/rtOw/aQOfBR8wK/MwTnOLtzNy88+Jl82o3/lFa2DKqc3byLFx38HN5wy7diarjv/t8NbUiaevmt8SO89ujX8cr9XwzTYEH4yZRaK+4Z/wWvWP18Pv3gN3BH+3Pp2VU0slzMHwI4BPw9YA14O/DLH3s5z4p8zJhAyB/N1JGI8J13/AHiQ8YdIN4u6Zx32ALG73sf+7/gy7npO3+YtL0CwPCD7+XQ530FJ7/9e9HYcOn3fhMAaWKG5Uce4vpv/mec+MJvDFRqNNbLZsn67/0W1/3g/8LdH93Hb/zWCp/0ohZOld/+gzEXLjqepzF5MnmvSVJOnftzhsctk0MRdcdy6aThPY/+EoPbXsmLvu5fcvJ1X8XZP/t15KNnGTzksHko1es9DCv3KJ3zoYvm8gMVr3zxNwBwx8v+Ca994/ezevRl4KCejKiqKSe/5btZ/YovYzUa8+IvPM7av/ouXvDV/4KkjDj13t9kctA+LVaf51pMswQ9njet3AUiRFMla+/j0Df/E47/wPez9MY3sv7Lv0g1HjaJVyV/7FGS7j5u+D+/n+U3vpEL/+1nKWRMOQiVf6M738val/19jvzgv0CwbP/8/0AcLL3oVezc8z5sqUQzZTQ5Rznd4dbX79vLYXivZCk7//Pt4dk8ZTAreez7fw555St51Zv/CS//3jfyG993Lw/cV5OZilgcg2jG7WtnyboF1E19eWk48G3/GIBj3/zt3Pp//CuiT70d31bczhhZz7n5f/1uDr3xyyhvmrH6GS/hpp/+37nxp/8pEsec/+nfDxwRTwNu/HEVqaoOgdc2l/fTwHp1foPV352x+s7twGJf1/MPX/6ec1DXXNe5jW66hrERxoba6kOrL6WzcgTTbnPjwddzYfvDqPpFWeiN/TuIasE6gXLOG+YJLZiFcb2Jt5CS0YtXAXh0806A86p6j6rWwA8Bt4vI8ac+HE9NnmxMROR38lKpmt7rn9O5j+iOrYYBCjZf2F70Fl++9VUsyUGyLUtSBMq3/ktfSXLoECZOWf3Uz2Jy513YrcCKBLDyGZ8J3QTtJTSdGGifF/qnPDZVvjP9BboF3HqoxcmbDVaEn/n5MQf2W56PMfnrxPYHbHzwHUxaI6q+4hJYH96DXVkhe8OrqXsR6XVHGFz/EjZPf5BsoyaaeVqXHEv3zxjcNya7WGBzR3ZhtqBa9LEJjGJJKCVFhH1v+CxMHEHXsrRiOfiGGzGSkfqUYzd8KuPzD1H2AvRnLyXMCOXL/+EFDrzgFIde8CiHXvAo3/ldQ1xbicfKyvHbyZIBUWnpvehlxKtrVKceXcQ8o3aXgze/nvaGYf/+l5MurVG+/94FzV7vZa8gOXSIxGWsfEYznybKytptFNvrVJcu4mNh/ZH3sXL97bTSvS1SsIM+oz9+J/XOeAE3mN75UaK1JbqveyXntpc5u/will97C7/7OxXbro0Vz4qdcEN7nTccf4C1/TuY1GEHAaMMUO6ryW+fItfNFlUwh1/6WWgnYna70jto6H7CCzFpjG2l7PuyT2b64eCwPasx0nBAvQf4OgAReYHmes+53/lZOnGwpp60/7NzoEpGK7AzxRHUgQQ6s72gdI0hy1ZQ9ZTFJGT4gcxnDXEkUF1ODEREvLT3aZya3s3d23/Kkt3PLdkn0+0dI692AI6KyPausxDgOuBZd2WfOCbAL5w75xeopkrhH9z0l/z4u+8AoFgRrA83Ju4uhZ45U21o1CCLl7BFSBpl2Qo4hz03RZpgeEuWsdsNEczZpuJlpoxvbvFTX9jlF/7ThO/4jh0+8VUZ3/vdXV56c8yjZ2rOnHU8X2PyZCJpTOuFt3LpL/+E+NB+fKzMqk1m5x7loz/2XQsOSPWe5VtfyfRAoA+0k4ooyhtsbUjXu+xy0rJcitBB4G3wOdhOB23HC9KPalbzjn/7Xs6+9Q853cRFtSjIV+qn5oc95yK8+b8c4FNeF5DwBsPP/eqIf/XzW0SFMvzAe7jw4bdR7WwG/HFZ4keTQKEXgR0MqHuCa4Xn0coKZb6DSwGj2OWlBhoHSWc5rMetCbHvsnrspWw89H7S29/I5qk7ueH1X0ul79vT0TBJTPLC25j+0jtIVw4w8YLb2KJ44Aynvv77F1F/9Y76U1/E27dvptIPIXhWojFtW3Cqu8NGUvKSo2eo1fIIcP3xdfyKcH59QDQSolaH2EWMjtVQC9VfdLjwx/+d8SP3otMAG/SzEl8rYp9DQL6q3tsyXcayQ581nK+hgdoUfnr5g9LU71U15EUYiAbSVEw3MTtTiCMmbgsRQ1YIs8mcbUUC/tT7j1HS+6IjrC3dgsNx3/k/5SPDt3LHvq9Fj6zCg5ceUdWTT/eanqmo6r0i8t+KXF+RtizTWUXHCLelj3HL8bs5A+x/f8no+gyXQdULMCXRUMooCv7SFulGuNZ8Zwsxlu6oTTndBqBzXklyT7pdkzdZ53IgVAPlta9P+YJPSZnNlH/zo2O+9Tu2+dP/3uLI4Yg89zz8aL30fI/JQgz0v/AzOP/D/3/6n/nJYMAc7JPddJID3/KNl8k0mjLJ8QRopzjr0FaMa0dMp2WgbjyYUrWaJELbIFkD2jcg0rDDRwFX+1c/9yCXTo05+g//KZ1qQHn9h7nvW38G16m5wnzCsya669/drr2ipFJRTLY4/bY3c/3f+2biG09AbDj1n/5NSNw24PF6uIOLPHFpwEE13CJbug3X8uH9ne1FubXb2gFjiW0HU8PBA6/gvg/8Ctmxkxib0Fs9znp9314NRxAnnLjhs/job/wY1518HfFIsOkq2a0nOPjP/yE2cqRpTSctcd7w7nMRk7jP9jRiyU45Xw/YvFiHdjZqSXbxAo7yFNZT0s3AqmVzyM5HHHxXxdl3/Q6mOMtLPuNb2fiCNrL5MI98+38ElGL21DmO5eO1MW6src8FflVVz4jIUeAhYBvYAq4H7iFAgE4AS8B8e7sF2AAu7TrkLUBKiDOWzXcUeJiQX3zxru/zhNcioAsMCdGQw0AP+GjzuyeAl6rqh0VkALxRVX/tKY7FU5a/Zkx+BXg5cJr/D47JE6WBtXw9ISb7CHAcWCYk5u4nwMYeI8whgFZz/jnBYu42n4uBm4CquSaAlxLGZtg87xHG/K5dp3CkOeYDBBv0BJfvw3Hgw+wRjlRE1oE+cAoY7XprFdhHGK/bmnMsmtdPNK9f2vX8NLDO5ft8F2HO/U3zaS4vIoz3FjDvkHhcVdeepct8SnKVzxOAlwD/+OPOE1X9Gx/Nyb65uZhJ8/c/Av3m/Z8kKNUHgG8g3LCoee+twNc/4XhvBX6YkEEeAv8D2Ne8d2L395/4GiGZ9DZgp/nNtwK37frsVwMfao57GvgvH+/6ruRxbUye0hidAj591/OjhMn/1ub5LcDvERTBBvCnwO3Ne/uAPyIomb8Avhd4x65jfRNh8W8DXw68ATjzhN8/3IzFmKBQ/tHHuw/P5+OJ49O89nXz6wR+ENgkKM4fa+7x1+/63F8A/7657/cRNsiPO592feb/asbj5F6Nwd+lefJxLdJnW66GipKrTa6NyTV5OiIiX0dY3K/9a95/Kx9nPonI1xCgcE96jGvy9OSqCLtfk2tyTZ4/EZE28I+B/7TX5/J3Ra4p0mtyTf4/JCLymQQ3+QLwS3t8On9n5Hl37a/JNbkm1+TvmlyzSK/JNbkm1+QZyjVFek2uyTW5Js9QrqhYLrEtbdl+oL6LQqnenJpLeDz7+24iWbXg5312JNC+2VKb7ypqBJfJ5e/L5WPMCXylYfWet2aOcsXkNTjPsF6/pM8zDm637FuxeuLoZRCv7oJeb7qEcztLRNPQZdWUHrUSeubM26mIBFo0aPruhIJflcs9ezAglV+0XfGppc5k0RRw3nLEpdDrzvAXNtnc9HsGQbe9jiYHBgAkUaiNnrdDjnFY8USLPpBBagRdFFKGHmHavOZUqLE4NdRqKH3UdIQUvDaMSUqYIL5pBGdChY+tCBy3xRb1dO+aFCUm05bp7Wo10zB0PzHKJnKZ2Uyb4m8jTSeBXV/dLUookNEnHm/XFyKL2jBRdrevGs7O7dn6SeKOJt2V0HnYg1QOareoaluc//x856+LhDFRmrFoXtvFacw8fDn/v84PtKiX2jXOzUtRYJV7qmNyRYq0FQ14zYGvwK/2GZ/sB9q3qcfmYYGrFcp+6E8+bxmBCYu77GtY7AJ4yC4JvdOeZOywM8/0QEy+bCgHQVG6Fkjd9Ow2GnrVlIIaxeZCMoL975kQn7rAH5z9988Xq9GTyomjMe/+w6OL51NfEovldybLfMdb3sQtH7X0zjha53J8Zqm6EclWiTjFtSJm+2NsocQTF1rrLkVMD4Sx8FFQlJ3HlJW7p5jKIZVjdqTL8FhENA3jVbcCYXKxBPmxktZP/Iu9GxAgWl7h2L/+Bo6tbPGKlUd5QessAJmpOBjtsGpmDEzo1piINJ0iYeQtE43wahj6jFxjtl2bTddl6lLGLuXUdJXNos2oTKmcxXlhmqehIsWHLqvJhl20kli6D1obNe99z/+9hyMCLdPjE/tfGKr/7C6nUPVjy62NgLGINRDHaDtD08BZgdOmPbmgqcUnUVBERZgb4hxSVDCdodNZ4L9wDrO2D7d/gFqDKZoKIBH+6M7v27P1kyUDbv+kbyGaOpKLY2QyQydTcD6M0VwZRhESRUHRWYvaeYuaoAw1i/GtGJ9aXBoIf0zlkcpj8xozq0KborrpEFpWaFkhkQ2GYVEEas7VJTQy/NEHf+ApjcmV0zfEEeVqOxxkEnrnaCR4Y6jbhuk+Q9kXXAbzXus+AdcOHQ1xoJEyaRmqnqF7WojywEgTT8OuVPUFqRrrrCTUW6OoVcQJdVcRL0wPZwxOXfGVPCfi1BOL5cNlzXff9QVEI0P7gqfzyJj8QDvUkxdh46n6MVXP0rpYgcD4cML6qzyyUpC1SrK4ZjhuYUTZOJzg4g5LD5b42CCquESwheLSoEzLfqBii9o1Z4ulvR4K6soySGcMohl9m1OqJZNQ5tprlOiOt6zZy6z+BsWrwSF4DJVGVA1bS2xqiqpD3bgpWRSUgRGD94I2Dc8gEERH02Cx1C1CD7GrKb+6W3nu7mrgNSg+QNptyFJ8t4224tB2xytS+VBDbwwaW3wWlMe8vxmqxOOa6KKBooSyxJcVUpZI7VFrUGMWZEF7K9K0W/FIXobr67TD2PjmOq0NJO6tFJ/GaGrD57w2nrHFtSxVJzTVnPMeQ7MeciUeBx5XU3rstMRujsNG4x0Sx0FJWxtA9tVz3I4ZIbDfx41basDmwVVdKNElWRAsuKZVhM80tD1o2g5TGTRzFPs95YrQPmNJdhRbhAs3G8psfzDTjQutasueLPqY07iyWzdb2ucPwtkruppnVeYtPjzKjs/5sfOfzWyzxfKp0HLYdZNgsfcMnXMldTfGVMp0n8ElMcMTBnvHFi9a3sKgzOqYcZVg+0pRW2zk2bnDY1yCzaHqCu2Lntk+E0InMcSjJoxyPlv0oNkzMYoYzyDOSU1FqRaLkoijLwVtEfJmIY+8EkvYZxPxxOJwTWsJhzDyGb5RnpVajCiZrUmsw4iyk2fhJ2OPzy3Y4P3YmTR154pPdrHG75UIQSlAUBTOBcsTUBdYzjAGyVIkSdBOC99O8VmMTyxYwRRuoQA1Mrgsos5saA6Zh5bWGgnFckLdWiZtJZjNEWxuBSVtDD6xWOeh8s87OfrHyDx0Vzl0NAl924xBawfqkSxD2xm+3yJfa+FTwTRhwboVNgNvhToTqo5QtyUQuEjoY6azYHAUvQhbQjLxJNsmWOW9FmY0Q4cjpNUCa5DhBNLkKZ/+FVukvp0iTrFFiPdB6A46Wza4rJkUUdMaNwoLW3f1kcYoxA3ru4DGyvSIQ40laaqPba6kW4prhVYUPoZkFCyLqkdgiO8pyY6wc7IF77jSq3n2xeN5Z77Gux49QfvhGFMr0zXL+JDFVJAOfeg/1U3YvrlD1RW2X+xZPX6Jm5bXadmKwkeU3hIbD1FNZB0TQNuwfUtM54whmilVR4jHio9DT/SqCwjEY8HscQ93gCyr6EQFcdNOd8lOiCXs9rkqFjhgPSMfCqZzhbxRuJVGeAy5j1myUy5UA0YuIzU1g3hGy1ZU3jKrY4woxig2cnix0LTaDZ1qw7mIf5JY5F7LbiXqXOgUYQ3SbqO9NhpbNInACKb2qAvWm1oJ1lMUuvK6lsHbcN/TjRyZKXXLUixHuFafVmyxkUXjCJ814YFFE8a9Z3KJcofdmYXx8IoWs4Vl6taWKFcz6q6lTk3ImbTBxRIaA9rLraZ9PNc3zd8WmEqwXpvOtOAjg49i4swQTWNiDzIcoeMxpGmwTKv64572XK7QIpVwI0wI5ooPN6xqm8tKzwYlCoSmW4mHSIMCNRrum1WIPFoZqE1QpkdrqqEl2QoJFJcEV8zmLJh+4jH4RCizkHWqW8r00F6bGUGsGAqtGPmS39p4Be5Mm6RuYpzNpFULvQfGuEHGbH/K+DphdkvB6r4RL9p3jkg8LVvS0orU1GyYDpM6YVbFxNZRG4sf1BST4BXEY+hccPgo9Dyv+hq6S44FdxVYpO2kovQRhQ/9duZKdMO3GZgdvNDERoWOQIwS49n2KT2T4xCGLqPdtOWduZjCx8TiKZufqb3BGo+1oa+1zxyuNPjU41NDMgzNAeeJu6tGjAA2KFDnAudukkCaBgusnSyUnFQudOZ1CpFpXPzwuq0stVeqvqVuGYxLSTZmJFslkFC3DLPDHdImjuraUaDZiw3i/eUY5F6Jgp3WyHgaQhX40JfNGrTbplzNyPfF1KlgXGN9NvkAnwR9M2937qPLeRiVQFNpy+aJ0Fjk4TtqBZcaTD8lHnXQyRRpCOY1f+ptFK5IkWqzM9rCgQefGKqepWqFjLtLg9af98/2mW+44hplN0+yWQUVTOrQJOy0lIaq73CZwbUM6WYYZFMptmyUqQitC4o4Q9UPoYU5oe1eS6WOCMtZZ3nbe24LScWSYCFOlMl1hpWP1Ph2TLGSsHmrJb9txk2H1llrjelFOWljPnkVPEIWVdRqQlYaiK0nihyjoke2GYWWEQrRzJNtBeRDsaIUK4ov9l5rWNP0FUIo1TL1KW1TsGQCbWKuQibKigkWamj5FqzRDddl5Ft4DCPXIjVhc6nU4tVQeUtsHMvplNPDZVTB1Sb05Yk8Pg6dRtNtJSoaV/jq2HMvy25r0BiIIyRL8XGwGgNCJbQnl7IOiiBKwmcJbnzo/xUO4WIoBhY7jYlGBaYTUa1G1JliyuAducwgteLTKPRJK556PPC5kJAkq0JYw9qgzNotpJXh+i18EpAKIUTT9PjKGved0DDRpRrae2dNHsaEMTEz24QfA4ojGQpR7rGlhrUjEroXd9sLNAxVheZPvb/XlVukiUUqj6k8VTejTmVhUodAd9gdXNdD2qRNq+biBEzssLG7jFDwBiJwVtHK4A0UK4qKJd0GH4WdKOiYMEDt88rEBou0WL56/LUax09e/BSWPmzoXPBMDihVV1ArRBNIdiqqXszGbRH5rTNOHrrEWmtMJypITf0x7rhBMaJE4kmsw4niIkO5b0a+2WV5Pbh5Uirx1JNdCp5BOfCYp+6dPCdijBIbTySOTEKLiLn0TIUHpj4iF6VtHWs2ZdMVnPcpRjxTn/JIEdpgTH1CpZbCR2yWHdZnXYZlSlFFqAoiiveGKHaUZYSvg6cTD4MVOl0Tqq4gf7FHg7Fb5hMfQmZ6/poxEEVoEoNtPL45P68ViG1QnJULROmAppa6E1F1DFW7sdBig2hKu4HRxTMfvLvdUCIRfGywxsCuRN+eiCpmNFtsJFT1Ij7suiFWaZziCJZo3ShRnwTjqlx1aKcmSh1pUqMqOCd4Z3GxUiYGkxtsHrhv44lQWWkS2YpEYXyl6cShdf04UvmPJ1emSI3gMks8LMOPz5OOVhaxCR+HbpDacsEyqIOipDSQeFTDRSIa3vMB/yfzRFTsURGqgWBzQ1yDFCHWJT607kVDYgUVyqWro487BKv0z/70dvZtNRaQEZKRkgyVwb0jytWM7RtjJjdUHN2/zWo2ITaPtwiKBh8JEBlHZitqbzBqUFFacYXLhK1DFfnFhMHDdYgbaehxHk2Fss+eu7FGlHZchr+mYMlMWbJTKrWcdx0SHBNNyDXmbB0WyvnqKPflBzk9XWYj71C4iFGRUDnLeKeFTiOioSXdDJu3y5S6Hdw5jT0kjUVSGJJNS5TD6Hiw7KLZ5RDLVSNNglLikDGWOEaj5sY5vdyO2gWrdJGMUsVnEcVam/HhiOkBoVwKVhmRslMJ3YfbLN9X0VovGR9OF5atqXSR8faRwex1CEgV3dqGOEGSOGwyzqEi+MgEDzUW6iwoUZr242qhXPLIUkmrVZLGNZH1VLWlqCIqb8AJUoXWy6LBW65bQV+JE2IFUwfkA8aEEEtZhZj1U5Qrc+1hcUOlZpEtrlvhLzRKNNLLitIJtuXQUYQ6IT2d4BKlWnHYkcU4qNsBRkXiIVZIQuuOciBEeWizEc88VcsQT5W6Jdhc8ZFgi6vDX/N47i5jeg+FLH2+ZANyIRLSnZp6KWX7xoTt22pWDu2wrzXGq2BQrCiVWqx6am/xCIWLsKIkxrEvG7NdttmctUmjmiRypL2CyeGY1iVDuu0wtRLNgvKeXMeikGGvxBrPVt7iUbvM/njEiWSdbdfGY3iw3M9DszU+vHOI01tLTLdbyMxiGquh2lcTdSqW+lPG04xyK6PzcETropKMPbNVQ9UPRQymJlAY5xZxQQmpDXHiYinE6cWBjGXPxwS4DHtSH/CkjUgSWpkHeJNDcAtrdA7H0TgA6jW1TA+1GB21TA8q1UqN6VZkWcVyd0ovKThzbIlz+/oceJ/QWq8wdSh8mSeIpW6gi/Ee77i+iYmmEvq0NXAn0aD41TT5EgnGlI/CsKlpdExuyUlQFaz1oUBjHkr0AXtuSkLr8h1dKGGXCFGhiw2GOGBURQSpaxZB+I8jV6ZIbYPHa9wEnQfDNcQqozxkDuu2pVw2+DjAn7KVGVNJSS9Zkm3wcQi0V/tqkpUZa90p4zxluNlBJjYo4kipB45qHBFNwNThwutMsGWIsYaFcXUoUoDf2H4l8VRJdmrKnsFUsHJPQfrgRYavvI7pIcEOKjZPL1FUMS85cJbCRxhRCheR2hqnwrnZgFNbyxQfWgKgXHOYbkWS1qz1gwJOk5rxdTnDnRZrO6GowWWGbNOx/BHLuT3O2ivCamvKqMqo1HJ/cTD0JQcuVn0eHK9RuIi6tsQXYpJhmPAuBVvElAPLphP8NKL7YES6GTyW4fU2tBipId0McDmXhgyujyCeQJ1Buay4VMnWTYN13tPhuCxzJQqLLDXWBJxkZBeJp/C+QbyESp8oZPB9bCmXk9Cd9YjHdQKs0BglSyq6ccmh9pCXL5/m7tXD3JNcz3VvU5LtGRqZRdJqN4Rqb0WCJQohNhlFASQPmNIhPm4SRLIIHypNNn5m8LXAOCKPE9TqIpGNF8zEYgsQL5iqyVkA8TgcxEe7qsfmkiZIuxVo25+CXOG0avCjqohzYeefKbYM2TQNsX6SEdgiYLqKFU9VWWS1wM0yXCakm0p2Ccw9ES7psXWwz+zGAhM7fAskb5SpBPM9mgWlFE+DRVK1Q2mqLUIi6mqR37rndo6dr0KWMQtZ9eTimOpI6Hjaf1jh4YzZmlCfH/C+F1recP39APjGF5+5mNPbS4wudjFdRWMl2rGYdUvRV05fapGs5PQ7Of3+jO1jMZMLEcv3Tol3asrVFsnQLLqY7pWUlWU7b7G/PeLND7yM1xw5xeFsmxvSC4zrlFkdc26rT7mRkZVNqfE8J1k1FvVmSjKURXlwVCiDhzzx2JNemGImOW6pTbmc4lqGyYGm5XIL6p7D5AafKPEoKOmrDv7kNSjTObZ0d0kjNB10QWq3OPW6FzNdi0L4xoCUBlUfSmq9oXBhad/cOs8ndB/gzZ+c8269lUPvaNM6Pw1JKwiubO2DYt1LaSq4KKuAIZ0n4LwPSSanixJoHzcG2zRY13UHNFFwgsmlqfTSALdsMvXzNtZVR4imkO7owrIN1q5Bkwg1gkzysHn1uoFw8CnIFSlS8U0FQhWy9uKDNZCvhnR8uq0LxWoqCRfbarByXqj6wa72kdA9o/TOFJjCsfSgZfJQwvioYXrYo3EYHDSECsqBYsoQ5/Bx+F2Ryw3B9loU5UxdYB/KUFsxWzW01z29ezYBqAYJF15tSG4eYo2nyGPi2LHUztmpWrRshUGpvMWKcnRpm+sGOwAkpuZga8RSNGVYt/jw9kFOPbLGjhcOrgwZ9irGxyL6pyLssCC9MCFZN9hib7WGtZ5WXJG7GOcMf3r/zdx4aJ0HW2s8Olrm7F0HaV0U+heVwakZVTdifCiiWBYmRx3poSkHl4asj7rYPx6E2Hst1H1h6yaLLQaYahBcvirEobMtZXSkqXyrBFM2c6/BGF4FU+VjRWQBuxG3CyA/V6YSLFJpklQuNdShsJBoGmLFdQqmQUh4DWGh3MfckG3wpv1/xaU7OjwyO87Bv8pondrGLbdxrYhoVD6tKp7nSsQa1MRhHJoKI4y5vLG6cI81kgYj2lx320O/IorDNVSzOORirCLWo6XBNTk2tVDloQGelZCkNVXj1kODhAC8x3daT/ncr8wi1XCzNYlwrTjEFzx0znmSUSh7nO6LmO4PZZHpTs3oeExRWUzkcSZgTMUL6Y5nciih9/CM4YmUzrmKznnP+TsyJicriBWzHaGxUnWVaBJ2FB+HwRBVdI4PuwrkA8Vhkp2m3K2E7n07i3rhRz/LsnTDBknk6CYlD09XsbbCeUPpLAYltTUoVN7SjkrOT/qMioTJLOViv8dNS+sULuJQe0h6smY7b7E5adPt5oyXUnxi0CzcVpdFe259GVEOtXeIxcMa3PPgYS6Ou5zeWiKfJOhyxfSgY7KdMLwhCzF2CZakWiXfynjhifs4m/Z5mAE+EqaHoOpAcbBC0gagPrXEQ0M5MpgyFGz4OGzkpg7QF7Xgsr2PG3+MqAcbB8Wx2xKbL+o52cYuvKeaBv7TDtQ4asPrrrZUtafyhtxFXKgG5Go5Gm3zWQc+zM+9osv40RXaH56hqx2qThTWb7nHMVKlSbRF4RqtRSN7OWzoGwOuFnwdsvVlB8olRTuOJK05tDzkWG+TxyZLXBj2SKKQeJp2E6rKUo4TGEXUWfCS1YR4q62UKHeXrXRrnzau9opLRM2solhrgxGiiaM78ySbM1SEcq2FLZWyJ8zWhCNv9azc6xiNWqQ7igrMDgh2BvmywdQwOZJhauXSixO6Zz3ptlKfj2mfD73fl+6fUiyngKNYtiQjTzKsmK0l1Ok83rr38gdbL2bwsGO2FpOMPbK+iXTaXPjk/bCaszPsoBdSzF8qyz3D9ECbzRfNmBYJ1w12ONzZIbU1W2WLraLNqEjYfGwJccLZPOb83fsxtbD04kvs74w53N0hb8VsztpM9ufU7ZT2hW2qI6tU/fjyTrvHslNlHGoNyW6uaEcVDw9XGEeOW/ZdJGkQC8MqY2PWZjjLWGvlnD29StwreG3/Pt4pN3LnS2r2vctS9YJyTC5GVMuBOUqqYKX4KCjLsu/RRLFTE7wVhboTNvyrTpF6DZamNU21UbBI1cxZ1fTxC9sYir6lWFaqgUMarw0PPreUAmVakruYrbqNQzhpPa9p38/0RMrPnvxU1lopZlYDKXUrwkR77NrPmZycb2LGIb4pzmGKGlvE2MqE+LdXai+4BEwB0XpMNbWcVWjHJSd7G9zYXycWT2oqWrbigcka737gBK3zhvZ5Jd3xi/iwKRSTh2IHqd3iXKR46vHCK3PtFep+xvi6hPZ6TbIZSBBcO6ZcTkKFUyq0zyvjY8LOiYThjVDtq4gvRSTbjWkeBSiDqZW6Fcq+fALTA6HULZrB9GCwPGdrXXwMy/c7+g9NG8q9iN69OxAZXPup96B+rsSjvP2RkxweOSYHYpb/+EEwQr2/T7EsmHMZ6WbYCc9+RkVyweAyRU5n1Cdrzo16HOtuAVD6cGuMwMHjGxzqDDkzWsL/+T5sCdNLazzySTGH+yFMsNKaUjnDxZe32Lr5GEfeskP7vuGeM87WLgDna2/ZqTJe0LtApZaVZMLZ2YBpnTBohW65l/IOAhxd2qbyIaPwplvfR9sUtGzF4ROX2Dx3EIBy0GSbm8SCZoofQFUaxEkgtinNQnH6NCSw5jjmPZW/bm9buJWhyCQoUxCdJ3bDhuPaEfm+gJ8WJ5hCFpuFGoOvlNpZxmXKZtlm5DNicRy2BcfTS5SrDt9tYbdGJJ0Yl9mAUd1LmUcyyqC8JElCiKN2iLXYwhHNDGjYXJJxQOr4OCQWXWoolrrcd7DNYzfs8MqDp+nGBY9MVzgzWmJzp0Pr3ozVD9ckwwppUAsamQZK5S+TozRJPimfYxxpcCUEWyk2b2IyWYTaUC1hS6VuhaMvf9RTDIS655HYUw0c8TBCDcz2K9EslG6Jm5eSBmIJU4TJr1aJJ0K6FTKMk/2GfNAhninJ0FEvtzCVw5R7H+PJVTAf6jE8qgweLqEowAj5WoZxkGyFrOHhz32EdlSy+VsnGB+O2HypJ7GedlJReItXoR/ndOOCxDjWWmO+dO29/IvNz2flsZrRsYiqr0RNYLgdlWwVbQ50x3zB59+NFc8f3P96+n9+MVSL7KGoQmpq9nXHnJ0NANifDJm6lMJHjKoMr0KlhsQ6lrIZxzpb3D9c4/ixS9yanWXJTunZHCtKfqwkORuHuHzPhUx16rCNRVURw9QiZch4ehsWXt0OCTvfdldFPP1xTE9mVzx0zq85T+Y29d6aJkhZoXHEbC3Bx5BuCWxZ5tSaaqDqKvU+T1FGbGmLyq/xK+YT+Ej3DMeTdS5Ug6bqB3QyI3lsK8QC91qRquK3tpEsDWMQN6qpqgPcq/F8TRk4BXCKLS0+Csnm1obD5hE2N0zLJd6twvHlLR7dXmL8WJ/snKV/qgk77k8Wmfpk5IlmDolMGPPaBTA+XE54PQW5IkXqkwBtGtwzwoxn1Gs96nZE1WviD5kw2x9imXO8p2YOYz20Id8fdl7fq3G5xU6a2taowYulwQVzHQ9GqZYaHOosKCJRiKaGpQcUJCKaSqAU22OZ+YRD9zpcIvjEcOq/HCP6yz42h9H1jnTT4jIoXERmay69NGZyvGblyDaHeiMqZ6m9DSWgjbs7SGesz7q8+eKrOLm8yQe/sAdS09435cjSNkc723gVtoo2hYto24K2KSn+wRYjPQm/vceDosKFvMehbIeD2ZDU1BQ+ZuxSRlXG/mwUztcH7tGWrXAqWPF85bF3cVNyAYcQi6ObFGT9giK3JBsGNMLtK2l1Sozx5HkDn4kUqcAUJpBhN2XWGu0qU95T0cvUeUYCIHL3om3ek6pG8yIQaMQeIovvZVRtQzRpstZRIKoxlWJzQpIui3DtGu+F8bkuF+7fx5/0X8CRQ5u8fN/pcCxAOi0oK8wsv4wY2CvxetkihwDQtwbSOPAKNNa5axnygV3EulWEfJlAoZcGovjskjA61+W+PKYaJWQXLK31wP402R+F5LRpcO+RJc6EODbYSYmMCVYpBG7SpyhXpEhNpYFMeJYSWQks7V3LbNUE0oxeiFUlQ21iU2BShxjwNWjXhWy8AW05ahuyq+KDS4YQWKGiQEqisUfE4DMwThbxsHxg6ORK3baMD6Xw9iu5mmdPLuQ9VruG/iMlyeaMz7/hI0yOp/z+O1+GJkpxMkedsD7qUrYtR94YLNNBknPv1n6yqGZch+JhIxpq7m0FKUzrhH4y48W3PkrtTfheHOryZy7mus42N7QvsVV1KGzM9UsbPGaXHz8590IUzo16vGLZk5p6QVgyiGZsR21qbymIGNYtjHgKb7k4W+Lly6c5Gm/gEKb+8phUlUVt4LaNRwISM8ntovpnURUXA6VgXBNLq0FLIRqZvXft5zJXotbsotWbs9s30B2vgXi4AahrbDG10nvMkV0oKFZTxocDTjIdBo7RcaysLo25cHaJpbvDEp8cMZyNl3jdgQdY2T/EtdpYQCeTAISP9hhgK2A67YZG0KHTGdLKQoloO8K1DMXAki+F+1e3A61m+2KIaQ6PGTSCbEPJLikQBeL0PJSSuww2Xhbq8Jfuiug/WuPSUHPvo8BP4bopMs0CasAIOn6KIFKeAY1eOmyIEkSoOhFlJ9DnVd2mukmDIhUf4llim+YR2gTGEx/wonmTWW5IrjUOlQoaNZVQnkC8UYApQsXLfOBdJkwOBhLX6aGrIKkytgHjujlDzl3ize99FcePr7Pvxg2mRcKgPaOsIzpJSRZVrKRTPMKoSuknBbM6pnSW0oRF1YkKOqagjkpapsRhWIpn1A3WNNTge06NV/h7h+/kXLnEuHGZ33fqGNeVetlt3EPZGXbYKLt0ooKLVY/98YhKLS1bMqnD+d6/s4aIUjnLC1fO8ZL2aSaNAu2ZnIGd0o9z0rSi7AcOSh5L8akSL+d0WiV5GVPMYrSwYaNu4oamDsB9SyCtuGpEwoJ9nBLzuzL0xiCRRWuHVhWSJtTtmKotlD2LmoyqHdAIUa5EU4fpG2RQcuPSJTY/uMbSgyXDEzF136M7MXfvHMaaUMlDVQfKuPnv7qk0ONrpLPyd5YELYLVH2Y/Jly3FoImPjhQfhxJoxGJKpeorUgs0OON4FI4pdeAamPUMnRPbrHamXDhzHZyew6cEFws+EqJORCQCdR3O4WlsLldkrohTBveNiTcmuNRS9g3FsqHsB35QnyjRFLJtx2zV4LqedrsgTurHBdolkNdApGjbof2KeCnHdmukXQeF6oJbPy/xkpoFdtVHoXx0cnSvJ0EQW0G6XSPjGdQ1y++LyKKKG5cu0U5L2nHFantCOy7pJ3ngz2wGRESJrVu8DuDVkJqaXpTTshWxOFJTB6WqghHP+bzPrYMLXBdvMawztqsW7988ih8Hij21e2yRAm4Uc9fmYYomgVZoRCyOg8mQfWkga3nVvkc40dtkpTVlLRmTmYq+CRVQFuVS3WNcp1SVxVUGrQ3RTOg8aqk2swUvgTpBSoOZhgyvjwL+UHxYhNVKQyy+1zLf4KRRIPP71NSYL/7OPxtF+KUu4+sSpgeE0QnYuM0yPmKa7H5gdCr7Qr8344bOOtXAka9G5CtCsn/KdScvcaK7wXI2ayqbAi5V5nHZvRRtsLNpivS7wSJs3Pu6ZSgGwUhT28CgyhD3nhxRZgfCZmIqwEDVCuQ0xYpSLoXKpWSkTB8YcOr0WsjPrFhcEio01Qace9mz+H5rUW8vWfqUT/8KcaQaKPqdg5V2qHOeh3zqMGlblxpiBAI0pa4t+TSBqil7qgTXxLSk7Ug7ZVAmkUOpyPOYOo/R3CJ1sESNu1yKCgHm4lJonQ/JqL0WBWzpEefxs5zeY45plfDKlUeJjOP0eJlWUpGYmk5UYlBatmLiEi7Nuhzu7FD6YG16Dc3cUlNjG7b4uVvskYaP03H/xhqvuuEUpVpe3n2EM+UKsXge2zqMi3XPcaQAKJzdGLCUzVhLQ2lr1xY4DLE4bm6f50PTI0zqhA/df4TypOWxfIlelPOa3gPc7w5yvhhwz2MH4UyLwSkhmimj65V0U9j3XsvOTUvUXY8tw1yRpmpl/vumhjoGTd3lCbRXojQloQSFaZoYaePS6xwCVNehVLKJn9bdlHxFqAah7LUaOKKx5f9l77/jLMvO+l74u8JOJ5/KnXt6enpykEaDEhKjLLCEjbGxHAjGgLmGe/06+7VxwIC5vjbGGAHG5uIACFtkhCQQEsphRpPzTE/3dK5cdfLZaa31/rF2Vc8IAzONRA3vp5/Pp7qrzjlVZ+919n7WE37P76cngqIuGR4STBcciRO01ZQ/c9fDfDC+FTLJYmPKtxz5AteGq1ya3s0wb+EaNRiO/TRRuMeoFweu3aDoJgjrCMA3fqoNxpPT+AZ0UZdIU/F7zBWUTYXIPXqhjEXVdIOiaX1zKhboKXSeFkyWQu+ADwj0RGD6nuymrAmElRStCEzXM045B2de3OFfMY2ekwKR+y5YMDKEkYdo5E7sMsDbQNA+WyBLzWSjRSQA6+ei85ajrHsBuzK01OIMKWCchpSFosyVd6JFVUtV4KSnFJNFNckkIZs3lA1JMLqiM/mymrCOYGvqKcC0Ro8NZ9Y7nG7MsS/uc1F0GOYR80mBFr5mOBuOyNIOt3SXiWRB4RSlU6ylDTazOp1gQjeY0FZTAlFikExsiAkkgzImDgtm1JjVokMgfA1yO09wEppnp7wsPGlkMcOAJy7s4zXXPIc0vv7bK2oE0tArapybdHn09AF0reRIY4sH1g6xcb7DF48exljJ5jOzxGvV5I91pHOCfMZQJl7vq/mcr5XnHXzGYnyQZ8LLAHYneZlEo9JHXqqa4JEVfnIHfrP7Ok+e4YxFhAFloijrYHb4NmNLKSBvaawWTBc9L0U6DZnYkK/tPsyl4y0uDDscbPZY0j0Kp3l6Y4EDeem1keIIZ93ep/ZKsn17l+FhSeOCpTuqe2kUKchaYvf+z1tuVzZGdHNmOmOslfQ2GhRl4NmcxlXjum6wUpE3pRfOrIiwy4albIAee0kkNaWajPOHYhohm7fEHsP7IvsuV15hVpcV+mQFeVIZqOgy5b8oHeF2RthTqCwhbwkmBxy6YvdxzQJrNWo7YFCrUatl3olmGlfBV3woL6ppKg+T2qmpev5TBy8TkLWweE7FSuHQQ7IEzw1mOFrbJFIlZ7e6HKj3kcLS0tNdWeGD4ZBYFkSy4PR0ntQEWCc4NZpnf63PUMfM6HHV4fbR6LCMuaG7RkdN6JsagSipSQ/EbpwTyJcBkgHpkKHBlhoz0mxlNQ7U+oxNxLQ6x+084fTmLPMLA/7Mwce9wuihAQ82vSLrY2f3E237KKRMYHzIO0iRC5CO0SHPfh9vQLgN6ZwjGotqJrsSYKxsrxU1AF8XjaPL8/XW+tS2YkDamTV3Ev+zsxAGmKQStjPeIcgtTTCSRL3q7wp2m24Sx8Vihue2Z5HScrDW49pgkxXTYDSMcUEKWe51oZR8SZRxXwmzsWbljZbmUp/txzsk6w1qg4knnbaXBy1cvYTAEtdzuo0JAshKjQgsNvaEPeHQf+aduRGDYQIi8fpmzcvJiAstNheY0BGVHt0hDOhJgQ0UWUegXzyv85U7UhdpRBFU8gcOnVlMqqDlTzrtSPTYenquarcbH3CU8wXFjG8EhPWcvBQEW5qiHzKVFmulZ8q3whePBZdnbXekOnaiCwdqIgnGYnfueC9N7qg6VlKvwjpmu2OcE5yZeMKSKCh3U/aJDZmagJO9eT7x4I284Y6nSFTB7z17PfJ0QuP2TeZqE86MZjhQ65NZTVtPWclaTI1PxW6orzKvB4ytJ78dWs+kX1u3yMH0ZVAjrVQ9S59ZnO91qOmcms4ZFDGtIGUrrXNibo1Xds4zp4ekzp/bbe2LZFZzvt2hfy2Iek46iBFj5Vl9yqp3WSnU2sDLe1NdGzssPyaqpGoCKAv58iBmgMuZnROXJYel9an8TtPDeCfqQj+lFvVhp7URDqC2bgnGlqwtmc7LXWWJnfJPb7mFnEieqo+5v+43JjsMcDJHdJowmuDc3jclTSi48foLADx1oMZ0PiC5kHgu35FjOi+wNYuMDDPdMbM1f1+NC3/dt9sTeqYOvbAaTPBlwk57zKgV07jgKOvCc7VWPsU0PElHmXlwv6jIUYpZj3OPtl58lH7FI6JIiYsCxCRDNkLUVKBiz0BtIhgfEOStgGCkEQ7SWeElAKxAhB4fWhYK1SgoBIippMw0QVz6Jomp6PFCi0hVdZL+7XfJigWYtqEon9fN30sztvoyEAbI3GCswCBYnTY51tyksIpenjAXjZiagO28RiPMQDs+97mbkPunOCe4+Y3PAjAfj1DCcWY0Q03nTKOAZ/oL/Pn9DxHJglCUTGxE39Tpm4SuHrM8aNEdGVwS7j3Ux4LLvdQDgWUyjui3Eq/hVGoGxKSl5nB9m0gWXMhnWAwG1GSOFJbCau5YvMh6u0EjyHhCLzIsGv6aMKKKRP1Gms1Z0nn/njsAdWEq8m+gtizQ472fgPMdanm5Nvq8r10QuJQIrf2EVhhiI40sHfGWJRj5GnE48kGMJ96AZA2CoSKbxHx6/3Gub6+i+4r2SXjWHObnnGQxGRKvePE7OfGlhR1W+L20nYxya1pjYaFP2l3Axtrr04fsQiKdFWjlHcG4CMmNohFldKMJT2QBNggpa2C6JW9YOkVLp/y31deRXQzIm9VgRsUoR5Xp7mDXTSjI2yGjJY0LIBp+pYmdpfCjVVbtEqKq3O+M0xkfJksuR45l5J2rKDw3oE0A7ZCxIQgMsuEoRACZwmiHkJ6IgaACUFc1L6uf1yew/uQR1TTUy2LW3vm0PtCIosSGinpYIIVjMRl6OJPO2UprnBvPYBHkRuGc4NDhDVa2WhgjObZvg244pRmklFYRyYJWmLKZ1pmUITd2fBT6k2fu5o7ZC7y1/biXJ8ZxJp1jdKbNvrURRTfe+1l76VC10vNF4qFsvWlCUDc0Q5877W/0CYTh05vXsTJqEihDrEt605jSKNIswBpJ2QsJeopkLAiH7KpEBhMPw5sGDtcy6G29q9Qgc3bZ1Lsnc5wUnC5fBuOQOw7zeU2mF8zTV/P2OzIkTvnMbof6TeUe7uSFJzU6tSSbkLUF2QysjRrMxmPKtkGWis7T8OzMIs/Fc7RXHJMDMe3lbVzsJ6bYa0maEi7029yxeJE7mhf4iWNvZ/6hEDUu8OJ94AKLlI40D3BOUBhJPSw41tzEVhGDiRzpHMwv9Xl35yHWTBOUI533I7U2cahW7v3yOIAqABPW4+Nt4Mfb1ZTdqc0XY1foSHfOXuICjUxLyrrHgwrrKsU+P7olS0A4wp4Pn03sQ2kbOowVILwekYwMdhxgC4nQ1iuO7njNrJrDD5wH5FdyI2Xd0ZidULYVYqN5Jafy5bVKc8cpr8woc8M4D0gC36VXWF47c5qnxkuc7M2jpSUziliXBMpw28GLNINsF+40LGMyo5maAC0sgTSM8ogTtRUGNmFjWGfcjrBIDIJYFjw3niXsSa8PLsRlMa89XBK3M8JYejD1JAuYRgGtMMU6QaxKvrhxhLOnFkA6OktDjJWURlXRR0CZaoQR2Mh54Ec1oVS0HeNDvj6/w0kpjBeA06nnyfUTMZ6RK3lmjeDF46y/cvZ8rlHndjOZ3VqlFIgg8MQa1hNsOCUwgWe+sloiC004LJCFxUQKE3rYTzFTIoTj6a15EBUH59QHJW4tIhg7tm5QtO/Db/x5sefFY1k6xs+12er0OBfOYOuGbCagfjbzNdLI8w8I6RVjpZEo6Uh0gZaGcRnhnPDXgIDN7Qb/z7l3sjGpI8bay5EYgciEpxp01cBPoZClx6jrqacHDSaOYOKP6cXalXfttZ93Jdb+plX+QhVV9LjzFY68lrQJwWRU3t4XKZyUTA9KTORnpomMHzd2gPCSzc5c/oB3/OoOwa/MBekzbaJtLyq35yYELol8d3C7jwwDti7McfON58msYjXzjPCvn32WxzeX6E9jjJHIqmjeFwnd0APuH+3Ne5hQkFFahfwSoaFT6QKHuj1ubV5gYGK2izoNlZGaYLc2qCd7L626G2RV7EQ4QVEoRllEM8yYj0YkqmBdNejsH3DH4kUOxD16hS96WwRP9xe4JNuYRGJKid2KKCsqtbK5U4/2u7saSfRIIJ93DcoSJvsdWVcTpxlqr9fF8cLo80ujUWfBerZ8Lzvina0sd8iNvQBc0ZAIo3FakDcl6axgfMBy7PgKs/GYJ9cXEYlhsl8jM0HYyhDLdXRmydvOM/ELcZmdfw9NWOg+JnjKHOGJ5DDBUJI3HXE99CWawme0thTkua5w1wUWweq0xfq0TpFqnLb+/ssUzywvYAahHzdPLGqsUKmgGEZ+YAPfY9lRF5Wlw2nP4RtvG9T0xfN3XHGzyUYKVRiv/zLJ0GlM3vT1J5W6XdmRZK2grClUbonP9hBZjpltMj7cIGtJwr5ickBSNByuUSK09dNO+IIxFbuNv/gup/m1VcfBjwwo2xHT+YC8sddNFXCBwtRD5KRAxDFufZPOY0tsHKlTGEWiC1Kj2Sia7G8MeGZ9nnS5zuZWi7xjca2C58I5rBGet3UQIgqBHkmKuZLG3Ji/cOwhajLn/KSLRTCvhygsz4wWqOmczWmNmScNYpLhGtFlhco9MiFAB4YShbMOFfkccpyGjOOQhg6weNnpOxYvMheOdklMVqctLg7b9IfJLllvsK1QU8/DaRLPACVyPzase4qwX3VbnZ9FBz9/nh3McY8qL2PhgeifAH7eOfcze7YwOxnDDvRJKYRSfiQ0CnFx6KNFrRCFIRjk6LYm6llMNZGTdX0nf1fFdzbnaGOLzazOXGPMzQsrPBAeJJ2EyFwx/4yjcWbMdc+U/hjyApdEO+Qo1wshvmMv1sQJaJ/JyWYjn8ZLyDqCvB0QjB3hQGJqAlNICudLPfUoJ5CGS6MWm9uN3ZKgMALRMMRxAXHBeKNGcj7wqX3kiJa1JwjXVXMSj/oIR5ayYq7TowLde/Ft+yvzPs7x2S/8WzYHpyvpZT8uunb2i5z89R8HKihB6i/k2pkBydOr2FrE+OZF1u9sMTzkeSUby4baJUEwFIipImlkfrcoBBSyokITu5GuLDwOVZYOmRW79aa9xlgDjEYrrOXnyBfquIpdu//QPTz6/3kfiS6YloFvNhX+uZnGBKRnyOo+IdDrIWYY4HLpp5siA+0CWUB3ccBSa4gSlgU9IFIlWakxTjCwyS6n58rZWWoXJ7gkRA3TPWs2CSHOCCHWnLWV3LZg9Kl7Wf6Bn9ntmo/zkPW0wXra2J3w2uEYaCjfQJivj1joDml0J+hWTrFQ8Mz3/10m+aonJzEe3aFTQbQtiLe8sJnMfZRTtASTfZZae0r9Uuajrz1KY3fXxNld53m+/zD3rP3yzguoFmG3JiJMxZFZeuJhNbXoqSOY+kwv7UqytuTBn/l75Jvr6EsRv/fEDTy7Ocd8MmIhGhJFfkqw8UBC40KOHKYebVOUl+nj9tiEg6CXemHDAZz7H+/lsZ/5p0ybvjQjC1AT7yNcLrFWkJeeKnA0jbCpwg1C9LZGDyU2U0jprz2RVtlK5oMSWUnayAK/EVs/zh4OfKbiJDgtcdGLJ3K5QqmR5zd9/CSPGl1mSnEKXCX/UdYVQaDYfs0Btm/0QnhYQDqCgWDjduX11wtBuKlIOx7OIIwAw2XS2mo6RWU+4i1jgWnFlHGlGPly6DUJyNuKoqmI8wInJLX1EpdLTm7McfPiCs1Ku35/rc9WWiNZGrHxroBOa8K+oKAVpcSq2HWMdZ1z8VCbc9tdVgZNJjMhAxMzE4xpzqa0VMqwSDha29wdwXRaYmshcrLnQlbK9CaYUhFEJUHkR4SdE2htvFxuVetqxyn9PGZf5BtPDZ3R0intYMpG1mCQeNLnYerH9kRsILCIkfZTb3kltWxADUtc7DkYsg7UjvcZ9Wqo4dhDffa2bqxyM6nSdfH7j+X5I5vieSO+QlTUcT519QxjHtolq0aRCcHFjriZcbDTYyEacTTeRMtrSZ7WLN4zJljp+xn7QO8qN7wcnKkDZFoSbxvWF/pkp59DxjGD04+xOH8rwqpqYk3gAoErJZM0YpJGpJsJeqAqEmwo6xYZGvJcU+T68gx+ehl076yFQO2K4QVjhxrlREIgrEaPi5dE+HPFUiO7kWDVFRZ5icDXSIu6YOuBj7L92D0U6ZCw1mFp/uuIs9tQqWD7sXvpPfQFgsP7GT1wP6rdYuY9f4727A24zYjVH/9JoiNHSZ85SbG6RnLsOPvf9R6krHPul/8LrYPXs3jDGzCxJusqHv2tH2Hx1e+4olP5clvWlqQdRTMvQEnUWh/RAmMkj/73R1j+4KNk2yn1xRqzf+0t1O66maJQjD9xP2d/+yEWbuhw6kOnqc3H3P2P7qR+5xGMlZz/5/+Vxo37+fknnmTjuRGLd17g677/TmjDf/nuB+l81bXc9p4TiNiP1d3z4H/k2rk3vLD29idv/9YMhj/sphNUHHiyDAFCWqbntrj0079N/twlVKvG/m95Azd93SEmNuSXvvPjvPJd+7j1zx/jumSVMx98mgd/5Tyvfu9f4Mm//wEAlr/vPwKC+W/8JiLd4tyv/gILN301a498itb+Eyx87Tdw4bfex2T9DNIZgkPHuGb7NYSw52uS2ckPF8WEQMU8n5d0VGzx5PYnGORrBLrGdUt3s5RcB0Jw77n3sb9zC4uzr0dPYeXSfSxfuJcj3/J/cepX3gvAmZ/5dyAE1/ydryU+OuYX/sWnuf091/HYz/4YC/ExDog7ub//MXrFGg5LN9rPzbNvIdbNvd5cvBUl0WbO5HP3ER05QrN1hK2n7uFA4yZkrln9lf+JawYU/S3SU6cJDi6w8L3fhApqCAvpY8+w9qFfxYyGNF75SvLlFVq330nrrtcwvN/7nNriYbafuo/2na+ld//nuO5d30MrWUKnlnwy4NP3/zhfc/RvokyAmWu/6EO/MtKS6n9XgXhdoBFpjsqMT6sMRK05bnrL3+LVX/8D7L/97Zz92Psw2wOcqCAKF8+hDnc5+GP/nPbXv431//RzTJoD34iyMP7ifcx/0zdx5Pv+BUJI1j70a8gMujfcxdazD1Rs+pLhcJk87dM6fOOVnMqX3ZyC9unUy7nWa1CWOAHZKEIszHPLv/8rfPPH38Pr/uZNnP63H6CZrRJFJcZJtp5YI9rX5Rt/569y0994FR/8+59ldUOgpEUJS+/3HuFv/5sD/Mo91xBqx+/+m0fYLBtc967jPPibl9jIGriJ4vy+LbJswHzzur2eEL1PxBGDD30aKR2qEmbLtuDsP/t5Zvfdxc3f+q+Y+5Zv5vxPfoSLT4/ZyBpkVjO1IYVTbBRNhmVMajQr4xbX/PC3AnDw//5ejvybf037xlegJlCOh7jBmFe+659y+A1/Eawjfuud3P3+b+Or/+ffIEoDHl/7XUQc7zX4/D4tAp4bP/iCB0tbcN/6r7GvfgNvOvBd3L70bp649NuMJ2svoNYTuUVNSoJ+USlpwuFv/V4Alr7/b3P7r/x9jr39GmbDEaONjEdOd3ntV/9jbinuwE1TDtRv5u6Df4O7D38XUgU8sfXxyzXaPTThHGI4JnxujfE993JNdgPXrR1gc3CKYjwgGjhk7hg/+BBzb3gHh3/oBwgWZxn8yu8gujl5OWL5f/039r/q6zjxt3+AcGae9NwZT+c59M2kyco55OIsR77vX9L+2rfRvv4V9J+63wt1ppbVrceYVfsINie4PN+VInkxdsU1UoBHnv5Ffu/hf8PHTv4HPvrcj/PU6Q94ZpYMZg7fThS1sJGic+IVxO05ytNn0akXIlP1Bu2vuhuZRtRfcQfB0hzpY09imhbhBM1X3Ek8tx8tI+bu/lqGTz6MKCyN628m661TbKxT1BVbz97HzDV3IPeaTxHAwbnf+Fk+9dl/xUdP/zgfPfeTPDH8DABBUhB91W3U52tMbMyN7zzIzOEG+TMX6NamSBxBp8b+b7yTlJjFN11P83CH9c+fIVYFWlpufdchrr0+JIsbvOl7b+C5j54hcSnd111HenGL/vkBwgl6T93H4szNfqx8j7uxqt2i96F7GD0uyM82kD1F/N+fpk6XG0c3MXOypNY5RO1VN3P2Q2d54NJBpiagX8acHC3w+HAf50cdpkXA6laL7e0GAHYzItqQRFuCuGcRCI4deSsi0Lh6QHZdwh3vmSWpSzbMLNc3X8+2XfPNpj2OviJV59z4UXKXshOWrGdnSFSLg61bkELSSpZYbN3A8uSZy6J4wk/6Cee8jlFuaZ8tqF+sssKpYjTxkLmJCXFCciL5Ohr3X0AFMaGMWWqcQDmFNpJrO69hK72w1xG6N+fT7c2Np0nzHovrNRrbgppqsX7+fsKBRThoXXsr9bkjKKupv/YOsudWiJOc8enHCBaXSO68nXxOUvu616PaTWxsKeq+BKKbLerveD1mxkPLZo+/iq3TD4JxBKOSS9uPsL95E3K2C52Wn8p8kXZlOFIhcMBtJ97Dgln0Kf4k5UJxkvPpE+jUsfX0faw99kmy8ZafQCpyUjUmrHlMmOq0cEkF+1AONdvFbA09SYkD3exUeFFBEnZx1pDbMbLZpH3DHWydvJ/49rex9dyDXPOWb31ZzNoD3HHtX2JeHkBkOS4MuLjxICflMxxZ2OL8h5/i3l/7ItOVgScpnpQs9TPqyqCkJZ6rUw8K2sGUQFhmDsSI7T417UH9zaUaxgkKp4iXWtjScWlTIyLNwptOcPJDzyFufhX9Jx/g9qN/0Ucae4wPDMqQ9uJNmJ/9GO1knmxk4OIaw/55PnHvvwbAfgoclvrrXoF5usl4GrE6aRGndVaGTXrDDWyhKMcBcugv7tpFQRI6or4j3TIEYR3XiMgbnmKuc3SFp370o2zee4a0VyBzi6HATqd7uBrelNDMR0c4PbiPeuhHh6flkF6+wkfP/sTuZ+aw7G/e7H9JeDZ38IgZlARriVcmhD2PlmmekpRJnXONhGeeugkdPsTsvWvYNEU26pQYntr6KBvTsxTW9zSMy3E4hNh7AnAhJZfMc8xGh4jjDs4YluRxLm0+zFL6ZoQFVW8irJegFibBTAuMkdhRH7XUYnJtDqVElALVbiMLr4tmEoea6XjVjer3W/UjXNABo0vPInuSSdFjfvZmyKsMoPwKA/J3hLl2uBRFUUEpphk4h13f5Ozn3s8Nb/5ukgNHKRuKp3/p32G1B1CbxGGGfeYObTHJIqbDGLPZQ910M3roO2pmq++bCAWYzR5CKujUMSG0br+LlV/7BZKD1yBVSHLo6G6ZYa9NTgtEULxAgxygd2HCs//hI5z413+Z/XfMcvvsMr/0Vz5EXWUYK0lLTboxZlpoluKChsoYLE9YfH0D6wTGSS5dsIDCIBmtjJFaYFotOnbKzJtv46n/+8Psy55FW0m3fhDycs+jDT2xnDj0Ndz78E8RHXg9AFGtQ6dzlDtPfAtIwdmvq3P8jWc4tT5HdskhRczGxZjs7JLv0p6bInNB7bmAsO//bn3F0tCGYFSSAghB2pb0T0Dzhi2Gv/YZxue2uf5Hv5XkV4/Cx7/I5zffj3N7m8Lu2PHmV/G5jfdzjXolOIhVg5noAHctfiOuFuPiwAcoWQHWoWSIdUU10ihI3QSn/PCH7vnNYf6ebeLTfj69tz6ll1nsVs8TR2vNmeGjjIttXrv/rxAFDQbpKp+79PN+cGOP1wMJxhasFs/hcHw8fx8A1llKcia9SxWvLNWwD6iRHxnNBhG60yQdPEHczsgmAdaAGfSxiaGcKTGJB+qrkSTcltQveXLruWtexca5+xkXEYudG1EqgGKE0C9NekW4K7jRhBDrQAvP1jd83lOzwBxwFrgJeBzIqsePVo9vPO/n88A60Kl+fgQvlXg9EAHPAHn1nAOee9573YLv/28Dy9VjR5xz8y/5hL5MJoQwwLNcXROEEGeA7wB+EX+OR4AuMAVOAjcDF6tjBUjwx54CB4BG9boAuA4ogKer196OP+9B9XMTuAa/Vjt2sPqbz+K3/qP4Nb2/OpbH+RPGkb7M1wTgNuBv7QWOtPIpQ+Aw8AT+vHfsWmCMD/xy4FL1+PPPUQO34tegB8wDh4BzXL6/5ri8XjsW4NfdVL/7pYScL+7+cc5d0Rfeib71Sx77NuAz1fc/BGxVJ/HvgU8C3/G8130WeC/QxzuHtz/v73wC+GHgXvyF8QFg7kve6/vwjuTYlZ7Dl/vr6pr8wWuBv6hT4BPVz9cDH8RvGpvA7wF3VM/NAR/B31ifBf7lzhpWz383fqPoAd8E3A1c+JL331+t2ahay79ZrY1+3np+x9U12ds1+ZLj+23gR/43j38TsAL8PPCDz3v8BecIvLM6rz7wk8DngW/+0vvwf/P3P1p9NuJKj/2KItI/rgkhvg3/gX31H/D8J/gjogUhxLcA3/UH/Y0/bXZ1Ta7aVfvymfBF3wvAX3XOffyPeO3PApecc993pe/3Mmh1v3QTQtSAv4Xfda4aV9fkql01IcQ7gHvwpZJ/gIdEfOGP+J2jwJ8HXvHHee+XSa/7xVu1WOvAKvC+PT6cl4VdXZOrdtUAeC1wCl86ezfw55xzfyBMQwjxA8BjwL91zj33B73uxdiepPZX7apdtav2/0/2py4ivWpX7apdtZebXXWkV+2qXbWr9se0K2o2qWbd6e4MUDFBleyCZZ1kV6TOy6ZWjPoVidOO9pJwIEoPkn0+mF4Y52dchfCMTtXzrlINtZpdpURgV+gMID97ccPtIY60ORO42lKTQR57wqpKaE2UnnVGWhCFp0bbmfcW1fSE26FOq85VGIcTwktRy4pSrTpPqy4rtTrl1xMBTuMnRIx/XNZK4s1VtrbsnuGtm93A1fY10cLuct3smHGSjh4ztSEOwWq/7VVH84p31l2+lnA7P1/+7HevC139Ycfz1ghc5KjHGYksEH5+B+Mk45UBw6290xtJOpHbd0gTiwKFwyK4lHfItiNw/jpHsCs5/nyOSKFcRQ8ncBXlma/OVWtWndYuubr1lJOicF6byRhcGJB15QulqQXkZ/bu/gnbiROzs6iRwGqQ9RKTaa+WWmnYoyvGLEcVAjq0tlgrkMLhJ6Krc3JgnCBUhuk0REfGP2YloS7J8gA5re6j2CKnkmBg/RpVooRlTTJdv/Ci1uSKHKme77D/B/8PGo0UJS2h9pRvG9tN3HpE85RETx1FU1A02JUJsRpc4DwlXiEIBpUSpAI19fyl4dAR9Q1ZSyFLRzjw0yt6ewLA+FiHwWHNZL+jaDpcJaSHdpz79n989krO58tlCwdCDv/YX+fs6iw6KCkyDesR4UB6qeCBI9ksCQYlRaVFXrswBiEw9QCrvApkmUii7ZKyrshaPmmIBrYS6ZKMlyQmhLzjcBqCgdfEKtoWNRHEm55BfXqoIPnxf7aXS8L8wZBv/8XXUVN+JHFiImzl0NbzJn997tN8cXoNfVPjpz/1ZuIVhR77yRVPnejlavTUEQ4tKre7s/JO+c2nrEmmM5KiISo9I+9EpguQHcw5dmSNG9urSGGRwvHBb/nNPVwR6Byo8dO/uciSGtGWhofzOb73Y9/M3Bc0ZSIYH3aI0gu12dhCbKl3poS6pBHlHGz0GJURW9Oa560FticJ1gom2wlirAmGApUK4g0vm9E8n6GHnouUzW0GrznOxa8zuxsQAs799b27f4Jgjhu/5u+QzXifEQyhvmwZHpKMb8kQWwEqFxRt4/XekhIdGPbP9DGVOkIjzMiMRle7r0WQ6IKnLi0y3x0SKkM7THlue4bBcpPWMxqVOhrLhsbJPm5R7I7n2iRg89Y6D/7nv/ei1uTK4E9WYEcBw9KfwMF9WxgnsNsh9Qtel2d8QJDNewfrtCPspnTqKaEuUcJhnRd+m2QhSlqyXDPox4RrmrAXYEK/E8UbknhbUXMO9fCzJCfPUIsjZL2GazVwcYBpxmQzIeeu6GS+fDaxIRe32pixxgQSFVpM02DHAhsITAhl4kOotKu8tlAjxCqJDQQ2lJRx5RzqijKRlDU/JlvGfnQ27QqyLiCgaHoSY9f2/AW2UaJSv3Y4CLY0Yxvt6ZpIHLH0kZfB8wRYBBKHlobCKc5ls3zgzC1EawpVkZKbaCe78efvuRQkOhOozCKLSnQxLQkGjmCgGe8PKWpQ1gXKQm3FobKQ08USkyMBi7UR3WiC2GNKrEiUKByBsAyt5Kcv3k1yPsDEjryNj5wSn4GIekmjPUUAB9t9tDC8qn2WwilS62fsnxwtsVT3A00X623WtlrYNMGGzvP8jix5WyNzCyZCjWOaH3kC3nYjVIHIHlMyoCeG2Yd6DE60SGcknZM50/mAsgZqNcQGzkspa4eIDHGSEwUl0yJAS0ukPSnrfDKitJLSKkonyUrNofltT4RuNKuTBo04w+0D9XCH2cdTJkshthYiCuPn66Uf9Z6/t/fij/+KzrpadH0pRBaCtVqDfBJSO6+QBib7HMWCZ69XcUm7OWFfc0hN54TSEEhDYf0sa2o0qQkorSTrala7TcaTEDfyYmdZV5KvKsokoRmcIHjigudwVMqTSpeW4OIWwZk9lkEExmVI2IuRE4ULJMaZ3VQtb3mS6iKTOCnIOpJw4CgaGie9o7XKa1rJEvKm3JWTMCGo3H+/41CLpsNF1sv7xIB2BI2ccqLQI+XVNQeClby218sC8AInWlhFJEsUlt8Z3sqnVo+TP9Em7lek4NqL15maw0QOG/jSSDCU6DGEQ4meQDCx6FCipwY9KUk2JeFIknYkRV2AEgQjiJc1K2qGcp8it5cd0F6uRe4UQxvwXzfewJnfOEb3vKF/rf/cypb1M/WxIannzNSmxLqgE06IpGFOD7BImjKlcIpX1M4AcDpf4GKty6naHI+rfRTrCUUm6R+T1C8KTBhTP++QtRhpDIc/CBf+knmBLtqemXWIwmADQeOiYbw/YHhIehWESqPNhlU2W5UkjJVo6cnQQ2loBBW5/E7nx0IYlJSVwq6xklaYsTGpUQsL1l6bIcsYHIQzEfHyCJT4/RpaL8KuyJGGQUkyN2EaRZApxHKdZEWiMsg7UCwWJK2UepwzXx/RCj3TeUunRBWdd2Y1QSVUv1nU6RcJoyLi8Mw2/XrMsBEznYSUiWJKAEICEZ3xImp5C9eoMbm2y/Cgpqx5ejH+/ZWczZfP8lIjK4EtW4KRFQtNpTlV1jyLuw0EZey5JIuaxGqB1V6/x3/P7utt5Ot9Re4drTRc5hiVrkrNBCK0aG0pYk9sYrVDlIKi2NuZC4dACovCUcALnNhWUefXn7wdfTamfh4QvhyUtx1l3WFrhqiT0qqnOCeYZAGTSci4FxL0JMFYEfYl8ZYi6htk5lO6aACykBR1UKXfwJwM2AyaCOGY2nBvFqMyAVgkvze+kY994E4OPJAyPBxVG67z+u2RJWzmBNrQilIa2gsbLkZDQmGQosAgaKopqQ0JRMmhYIsbomXmgsMAPKUWmQYJwbYmmxFEQ0fZDFCTEDGeUj/VQwcxeRHseUSKgOmhFkUiEEaSdqW/BjQgfcblAguBRUqLMZJQG58JO0EvS5iWAUI4GkGGlhbrBKVTlFYSSkOkS3KjsFZiBCSNjPH+mNYZx/BgQLQVIKbFrmLrS7Ero9EDpHTUWinGSNzJBuEQsjZks4bmzJiZ2pRGmNEKUhbiIQ2V0dYTmtLnbqnzN1ThFFI4z3akEzKrfKiuDBtArjRFKclTTTgQZHMJtXUFvQHJBU1RbzNsKMzeZrAAOFNpT5XeGYpCoMdyt1egMl7QJDIRlIX0KqsxyNI32IT1z5c1UdVFYRoIVO7rrCbCUzpoB7lETiVWV10Z7SM4G3mnK4q9vUOev68HwuxunkUVJbjNiOYZL/dgQyhjyGcMqlXQaUzZ1xrQCadYBGkZMCwiep2Y4ShhPA2YDDW1ZUn9kiDZ9Ju0Sh1OeF5bEwpU6kjWBCYK2VQNJsXeRqQSxwOTo/zMJ+/mms9mhKtD0jtiylpV+w29wyimAe3GlNJKmkFKaRU1lSOFpS4zxjaicJqmnBIKw8DGjG1EQ6Xc2r7EwVqPZ2fneXZ1jnLaIO3467PoJoRpAc6RDyKoROP20pwUTBYDooEl60jKGuzoKdnA+ShTO7DCK8laydhIpLQUgSKuqCaNleRWAyW51RTGZ0HWCWo6Z+oCZuoT0lIzGMeU100ZVRpq/eN1ul9cxdUiRGm9UvKLtCtzpE5gjJfGVdqih4K8VdXsujmtOCNSJVpYZsIJbT2lq8d01ISOmhAIzwg/sRE9UyMIDFZLWjplPW9SWoUWfkcZqoihlZRj34Qp6hJXixF5AZOMZKMg7co9590EwAiiLa+lU9a5rL1e95epLHwrtkw8nWBZ9+k3eEfqFDjlCEY+gs3bvi5kY4fTDjWWgE93AIS2hI2MrBdDLkknIaQSGzrKhkFN9Qs5dPbIYlFgkEhgagLPxeoU58ZdXGhRqUJYR1GXFC1LNDtlrjWmE0+ZicYEwlI4rxoZqpJEFyRBSS9KmAYhEyKElahMEYwtsrAoJV+AclADR7whSEWMLfcW9Ze6gJ9//1uYWfUS0TJv+EaswDeXAIwgbqeEymCsxDrJTDimraYUTmPcZUnpUBhMVW8bV8oCqQ0onWIuHjHoxKxeL9laCsk7Ae3TEjVJUOOc+qmA8dGSQ7/NnvYYTOKbyyp3mEDsas077bARnpvJCkRocFYQRAVSOqSAYRZRCwqEcDgnEFUPZpRHZEYxXxtjne/s13XOsPCvj6OCUhvydky0LehfK5n5vPHqL8+TUXoxdmVde+U/7DJXFOOAOpDNWkzNksQFpZXkVtFWU+o6o6FSOmrCku7TkRNiUWIQ9KzfCVIXkDt/KEXgdxAtL2tKT7OAPAy9A6pLym4NvdVHlAY1LdHTiLxzJWfy5TVhvARwiaj0xx1F11bPCdLAO0gXOFy9RAaW3HjnKrRFBwalLFkpkdJRj3MakRews04wzkIGiwmuH+JCS7M15XCnR+tAypMbi/QutlATSTAQFDPO7+R7bMZJUhcwMjGRLMhswNh49dDTl+YIepV4oRLYCEyn5MhMn6ONLX8dCEvpfPNgVKUdWlgCZWjEGUWhyENLUfcyuuHIIQtHpbBIYPDyvgLCITgtdjXN98r6WUzHwXReMPvolGwmAgF6Kig7zjeAckkUlEjh2JjUONzYZmpCIlmQ2oC6zLBOEsuU1AVILLHwzjWzgZdrMQGjIvKwIG0otaOoQ5FITC1A9ad0nzbMPeKoffHMnq6J/3wsJhII5zChwCnfX3AKXFiVPFCI0GCNRAhLXipuXVjedZQbaZ3MaHppwFxtzNzzhCSlcAysZjEZspnWScKCrUENU7MURlI0LU4rRJohrHtJHMdX5EgLo0iHEWKoCUeCou4wdYuolURBuavNEyv/wSqcj0blhLbMCCt4QlD9P7QJqQ3IbEBN5p4hECitYqxDgsCQKbeLGSxaIUESg7GoYYZOE19I3GPbxcjaHRyjRSalx/s5kIFFCEeZK6R0COl2nadS/jklHFEA9SinFaXUtHekudXUg5xalDNsRETa0IpTjta3OF5b5abmMv91+FrkIEYakFOFjfbekU5syOnpPCtpC4DNtE5hlIfrjALaZ9lVN0hnHHE7ox1O0dLQUBkjE2GqDmxqgip1U4zzELMDj1W+IWG1xyartAQ0TjqcAi3wUU5+WYJ3L805Qdl0LH3BoJe3GRw7QFmHdLH0EtyZgsiQl4pWlCKFo1/ENHVGU04Z2oTNskFHTRjbiFjmgERiqcucmsyZmoCpCZiUIZMsxBoJ0jfv8pagaGqC7YDWA5dwaYbYY0kaJExnldd0CwW6UmERTvgmUwVxFNIhA4tUFq0NSVgghaWX14lVwVw8BqCXJzSCjLrKsQg2szoroyaTLGQyiNFRSbMx9XppRlDWHPG6wjUS5GDicdsvIZu7IkdqMoUYK1yzxKaBl4MNLEr7QrASDik8vCOWBZEsiEVBIAyhsATC+0oPAxmhcAyIaaopgSgJbOx3UxmiquiD0PqdSXgIkQs0jIcIa4m2G+jFl4EjtV4a1wmwUQUrUQ4lDVpb4rAgKzRlobDjAGEEJjEESbXhKIuQFmO9ynsrTGnqjNJJ1tOAfhaTFZpAGephTjPIiGRBR004Gm5w9/GTfHLlFqwSyFxgErvnTmOYxXz0zPUAlIXaBZeHoYHIIksvo5vOCMyxKTcurBEqw4PrBylKr00O0IxyakHOtAyYFgFpoQl16Zur4jJz+g5oXxqLM+Jy87V63IbyJd0gXwkTFXi8fmbkMcSBQI8h2FYUsw4iU8naCwZZ7BskVcS1Y6ZqTRsEadU8q8sMg8AgsE4yKqLda8YY6WGLoaNoCF8iCzWuFsMkhXBvm5JWeTnpouF7Ac6CHkMW+WxOZJL4rCIYeVRHOueYapgEjvimkmEWMp5GSOk40O2jhOXCsIMUjmEaMTjdIRhIklWYGzuEDUln64zvyBAObNNQZJfFPP03X+HUHukIFqZEUcFku42RPjUV0mKtJDeKRHvnYJwkFgUSW8E+JIGwvuSBvxBqMiN1AYEwGCEprEZLSyAsWvpITUbG48jwkYeLQkSWeVbacYks9rYTC/5mVrnDxAIXV3g04VDKUZaS7UGTYDWgfVGgx450zuNF030C2U1JohJrJaWRKOGYCSccjLZZK5o8tHqAwakOyaq/gQazjkuHJpT7JLPBmPnagLd1H+dzR65BrDex2uFi6wcg9tCcFaTjECF9/cqNNQeu2eDvHPsoP3r6rZjJAk7A+JDjloOXyK3i6UsLpOsJMr8cJQ2XJpxYWqcRZgTKME5bDKY1TCERufTTdQ4PoyktaOlxk4BUvqYvtSDe9mD3vbZgLNi+uUWyUfNZVtNhag6cQEUGKS1SOrYnCVI4UhNgnW/UFk6hquK3qtpEQxsztiETG9Eva2RWURhFaZR3ojuXgfAZQBkJRGFwSiHmuzAY78UyvMBsWIHhA18iM2GFoa5B4znF4v1T8lZAmUjfaT+sqK04hk/sY/tmh2uWYOHUOGT/Yo9xFtJbb1A7FTKz4midzXBasH0ixEloXLJE2yGbd7jdCapd2ZWXqKp6xY7UGMl4GHsoR80iA0sQGHSVogbKoKVBVVGpRVI4xRCwtvTO1AkmFRzGIDDVyNvOhZKoAls9JlUFyEXglMAlAZQlIokRxu4CuffULKjCd9WjTkqRaZwTFLnGbkS0T0nmH5wSLPdwccTkmhZbN3rIVGYSMhKCmRRTKHrKksic/eE2z03nmD7c5egnc+JT67hAc+mdS9iVOk8cO0x4W8n+cJvrwhXedPQkn773lQgL0fLLg242aXh8XxSUnLh2nfce/gBdmXD64MO8P3o7Job42IBWOGV50iYOC+yswJTKZz/KO5XCKCJdMikk1grKfogeKPTERzGyrMZod8ZpjccDCuMbB0VDIws/KbWX5pwgGMDWLQI9Cb1m0zrks9YjPrYjTGywxgPPD3R6zERjDibbnMvnaKiUwmlUFVob5zGlQxuzUTa5lLWZlCG5VVhHVUby772DCFGFwyQBujfBxiFituVFbvbIZMku5M9p32gykS+VqRxmnygYHYgoaoLpgkfFxJseShhMHPP3CQbHQtLDOXNzQ1pRSitK6W/XibYdZV1w5t0Bat+EejKiNIr1p1pe0TgDtS+jKCVyOIFAg9J/AhEpVIPA+PQxtoRhST3OCZQhkJaazkmUT+d7pkYsfHqfuoD1Cvq0s5vWpL/RCqcZ2pjCVWqJvDCd8bUSDwkqmiGR1mCMLwzvfWaPk5DXJbIEKyCM/R2bbsc0Lki/yyYK9nUIL24TDhKs0qhUEPY1JnKUdY1LFRMV+UjEBiQqJ+wL1LT0aUcYkL5hSDaICJcDntlY4Ln2PE2ZcmNtmY/OOFQm0BOx+zntlYVhyXVzG8zHI75x9j5eHW1TkyElHgo13u/5BG6aXwV8B3aaBRTTADdVIEC2Spq1DCUtwzxiY1QnG0a+sTbyTinqOaKe9Z1WIXxkaiucbTWzLks/UrvXqT3gh1VSQTpvuOOO0zx05pDnZjACERmUdoRRwXxzxKH6Ni2d0i8TrBNMVMi+sI9xEiUsTTnFIhnaeBdeVn5Jz8AagcglsvCOQ1jQg5Rypk7eCbBawEN7sA7PszLxY7EqF5Q1MAngoH4e0hnFZF4yPOan2pzymPV4XZJ3fKNOpUAhmeYBRazYmiTo5ZDezRY9lDRPS+L7a6TdBtkBR9k10Ffg8BjsWul9ibGVSuufgCONk5x0GoKAoJYThwW1oEBJSyDNbqdsYkLm9JADeptFNWXiFE/lix72JEo6asKMKLBCYpBsFE22ijrGCZ/eRj7lyEvNSIeYSKAnjrytiXZqGca9LHCk4GFMNvCbWZFpbKZQfU3R9GB7E4boqaNDl6wTkKw79ERUxAyCYhqTzllcreQj527Auht9Z/qoYT2tE/USnBKEXxDkxwztV26w1Wvwv55+JZ/qHqcZZpT7M5oPxqjMUe1Re2ahNFzfWuWNzad4YzxEiQCNYupyHh4eIl0yuJphNhrzTH+B9a0mbjMiGAn0WGBiRxZoyrr0G0upGW/W0NsamVU18zqAIO6DLPy0m6xIb1ygkFmJdQoRWIRR7DVoUgjHZMk7g5tuO8cNzVXSQwFnNmfIpgF2GCA6OUmUc6y5WcG/FLnVjMqwClBKlLDkTtGRBoOloyZslQ1K6ye4AIKqkQlAKVATgZ6ATi22FrJ5c8J0URAM/5AD/hMwq/3naGpV4zAQLyBAyloCE0P7GcnsEyl5W1NGktapAVs3N8lm/N9QI0ne1SS6INQhwUDQfUJSWy+RueX0X1QklyRHfifjwpsi/75tS6wNMrCQF55QSAgw5g8/6OfZFTnSoOqWTcchwgq0trusK4E0u9FobjVzwYj9wTaxKFk1Cc/kiwxtgsLupiZ1URIrg3WCM5NZlictjjU3WYp6NLWPXqfNgPEwxoQa4fwIpQgCXFEgJxl6ciVn8mU26aeVom0olMVejAlyv8vmHUdkFOODjqJrKBoJsnCYxE8sqcxBIDChn+BQyzGDUcD1119kUoRcWK7Tf3UKVhCcDykOZbS7Y4pSYaaK1x07xYn6GhLHme0uJooJxhUj1B6aFoa3NB/ndfEQJfzNPbApKwYKq1i4dpNYl5RW0Q5TGo2UwVjjpppo25F1BGLqmy2xKtga1InPB6icXbINWfj6VhlL7zyFwGqJMHaXOUtNCpwUPiPYY0+qpEVeM+bGpVW+ff+nOV/M8hAH2dcZcO7ZA9i5AmsFc7UJmfUfYAK7Y9UbmZfofmx8kJaecm28Bvg66dDEZFYzyGKy0v9uqEvKWJJFmrIhSBGoTAEJ9W9cQZWa9bPdvViKF5it8NFlw2cSwlT9ECl2Wc6aF0rG+0LSriQYOU7+1Qb7P2WZzivSOV9jzochK40mUjiyWyfk7YS1tiDoFog1jbttyOn5GmoKZadE1krSaUin7QmECCvY0Euok15Z195KRtOIuJYzmfo/IYSjtBItLd1wBz+asS/oMbQJP7d1A08PF3nq4hJmEDB3qMdfPnofEst5YZhRIyY24pnteQbjmHY45bGtJVbX27hUEbQyao2MvBORrFdUWlEIZQlaYV8G5UAbwPCIoH7RMRhFfhCjwsHJwqcewUggnEJlDhMJso4nqLChwAb+ezWRhD1BOWNphSknWmtcaHvaQpf59Exoy2gcI6QF5RtTc3rIDdEyvyzvQG45n+rscfQVy4JXRj0SkVBiGNqciXOs2waL0YBn3DyNMCNRBdc21ol1wcOFJstqTBcUZc1jbhtxhhSOfDumNahuMO1Zw+ItR9wzuzAqT8OIpyvcqXNZi5oWyEbFUbeHJgTkvYhyUfL/nHonW6MarVrKsfYm5yQI7QjCkm48QVbDCNJqzo26bE1rbG42cFWmEw4E02ty9u/f4tr2BvviAaXz9+FWGu4C1JWy6FZOGSlwPpOczCm+eu48pVWstbf2FJAvrHegNrTIVIL1XXwEZF3/XDAQrLxaYRKHm0kJkwL1bIOV1wrKVkm0pijrfvqpN6gx2xnRrKcMDgiYaophhGj7Jnjz8IDpNGSuOWVzs+ERJQBagbF/Ms0mW41p6diAEZSl7zQDHrtVOdEZ7dPye4bHeGDjEMvrbeInE6Itx1Y6w/L+NotBn5WyzVrZ5Ew6S29QoxgHXGq06d+7wJEvFIyXNL3rNfk1Y8qOpWhIks3qBqlOeq8bCADYHcpAqDUzJs0AkQtsZBHWO0rhdiBcHoBuIz+FhFN+miMXuzCvYD3gvuAI9VYK0tHpjBnohLKmCaOSICg52O6zPm7wxfXDPB7s41hzgygosalP3/bakTZlRlcuAJC6kr51DG3AxEYshEPflKycRVbVAPd3+6xpw7iVIAPLTGtMM8zIjUaN5G493ISQrFXUhMMSp/0gRNmMdnlegYqn0/NM6mnpHe0emsShRopnVuYp+hGvv/Uk69MGm2kdU7O4QrKvO0ALSySNH0hwHj+7serxuHKsCPuCZN3RfUpRJot88egS5sYxSZJfbtJWNJdRUDJwgjKrBiAkbN1VUFrFkWSDG+uX+JU9WxF2B1iEEwgjKn5dvyGaxBO5mERgQwuBg7Emm2pEw+ISC6WgaFTYT+mQyjJKIz9unhSUgUEphxCOOCzQyjJTn+CcoB/6bDgOSmyrhkiLP/J4v9SumEavGAdEcYFsFpRpQB4alCwIZUmiCmoyr2arS17dPM2b208ir7Vs3dXg0fFBpjakq31NB2CrrLOWNf0FYARJUHDsbU/y0C0H/Ogj4KYBAj+DLlctLo5gPHl5jIeC59YNHZMlwV37zvPp/nUgNEQW56Csebq8sm0phwobQNExhN2UwibIvh/vNDWLSjXFfMGtRy8Rq4LtVo1mkHLSzDOuRXRrKYEyzMUjXjd7mq4ek9mA31m9if44oa59Z1bssSMNhaDEoPE38D4VAjmbtiQQhq9ePM1G1mBqAlITkBtNO5zSnp1Szii0MNR0QV1nPNNfQGWeDUs4n9I7BSaWBGMPxrehrPhufdPJaenntI1FCIHI7Z6PzQrhME1DqC2ik/FP93+IH15+J6f6c7h6yfzCgKPNLT/BJY2fqy8j+tOYYD3AAaZhSRcNeVsyGSnmHy45+Hs56aMxG7fWcdqRH8mQgXekozQiXa2jR5LaiqBxsaT1F9bpBBMUjlk12tM1MQGoicf4Vv0yZCmw2mFDkKnAtAwyLrG5gsSCFb50VTXSdqBdMjJ0GlNiXZIZRVZotLbMNCaUVu4ODOVGkRYaayW2kKyst2lP+pcPSn6FZ+39JykoS8VbTzxFbjUPrBzcPcBAeNhTTWYcDraIRUHP1uiZGmMbMRuMqamtXQKT1aJNIAxHaltcmOlwaWuesxfniA6X3LCwyrCIAdgc1+iNOlW9xGEbnlvRlZfTuj01AfmcQWSShs4JkoKikOikxFqBDTU2dLhaSd72HWdCDxfTI0m0JRgeNzT3DRnKJkI7bmld4pnRAmfXu8x3Rh7FoKAWFDTCjNIqzk5naTRSDIJAGcpCVeoEvkO7x0tSTdlDTYQUzkPJjZNslXUyq0lUwTSv7UZRYRWlWlcSKb8xd/SEURb5+WvpcZfeIQpMqLA6IuyXFUepAetw2lMWIqVP2QBZmBew7O+VidAzu9+4tMqHR7cwKiJWt1oESUEzymjqlNIpmjplX9jjWLjGa1qn+MLitXz+4lHSacjir4fUL0xYfU2daVehpp4Yev6RkrwhWW+GOAEDYmqXJAeeNcTrKbo/RZy5RPgPEvaFPZpySixfehT25bSoZwlGfsIoGFeUktIh3WVsqUglLhTopMTkCrTFpYqwk5FvxsTL2m+s+yz7G32sk1gEKysdKCXbwjHfHCOEh9IFFY8BwuGMQK7HiNEyrp74spB98WtyhThS0M2CZi1lO6+xP+nTTi4DOZWwRLJACUvqgl3+xdwpT76gRywFfWoi477JMQJZclN8EfD0eh9Yb2NLSagM3XBKI8gY5Al9FeOUwyo83VwcwFIXUw+Y7Nv7qNQFDtXKMcOAXp5waK7H6d4SZjPCKYcSfpZcRwazL0OejwgvBeSHLG4xxxESbijYB7X5MZONGr94z2uIZ6dI6VjvNUjiAheZip9yyqCIebY3x7lRl0AZbmytcHpjFj11jBfky2KDkQiUkFhnGLmCVZPwdLafZ8fzXBh2WKoPCKVhmMfYqn6ppSG3mkkZ0qxvkVlNWmgfsbhKcSF02MBH+SoXBCPhsaTGR+KmYu/Z6d6LwvgUf49Te+sEOioRjze5WMv4n6M7mWQhZqJxkQ/HpiakpafM6DEzakRdZsTBJmkzINunONmbp/eemJXzTZZuWGH7M0s4HbB1m/Vz6c4vVHwxYO4xQ+PZLeTmAJcXYP17zMcjrJOEwuzO6e+VFQ1Pwxn1qmGVWYGoRqtNDCZyu6VtB0T1nCAooQ3DzTrJJY3TfhrKnazx4PY1qHaBLSTxcxFISIdN7M0TJH5QRldThEpZTCkw3WI3CnVKIl5CpnuFxM4OIS03zKzS0L4eY5ygEeSo5+WSqQ1YK5vM6hEtmXosaUW6AHAyX0IJS2E1J7MlajLnzGiWme6YjbUWNZ3zuvazbJRNTk/nONfvILOdExW7XVkTvTyaTQjn8bQHJpROEkhDa2nIeByjA4+FjHTJMI2YpgH5PgmFJIhKhIBin6OcaETuU5H5gz3W11osdQYYKzn/3Dwzhyd0D2+gpR9YuKGxwr6FHnWZEQjDvB7wa/ntFHVBOi988f1lYoUzrBvJmmmSOi8JsTmsU1rJ4dY2oiog79CeDfOIepATyZKL046nbPQMaR6/rBzkAmHFbjoIvtnkBKCEh0MZ6/klS+HJwPd4SaRwhFEJGSRBwUw8YUvXmFzy3fis1IzLkJlwjKwGWlIXYJwfaomkoR2lrCx3ifqS0W8vEaeO4WH41jd+msIpajLnUxvHOX/mCK17L+BGI5zWuKV55GYPc3gfgTxFIEqksLvsUXtlNnFkXUeyBuHYUtYUZaXHZq3vHZjQ4YwkamS7XKSTSUTn/pDJAUfzDHROZsjCsnVDwviApn3KEvVLNm/WxJm/h+YO9phJJl7yxvqpN7QjqOegPRMZ1l4eFX0RdsXux1pJJA37ox5redPjnoWjsGr3AweokdGRE/arCUrAycLyRHEQi2RJ9/ncdJ7ltM11jTU+N7yWJy4tsTQzQEjHpAy5Llqhoyb0y4RWnNFTDpVV4GopPEBfeMLkPbfS726dZEo/SxgVIVI4uu0xnWTKfDyidJI12SQvNEUmETVfBC8LhVAO3fG5eJYGNJOUu298hrrK+eSFa5FTyWavwdHFTTKjKatwsy4z5vWAsY2Y2AgpLZuvtMxds0Xnl/YeF6aExDjLyBWMXUjqAhSOSPpZ+cJIykp3J9EFEsewiHFOsDpq0ksTHDDdTKhlPkIhtFBIVFrhIqdVJFoxrbtA4YRA2qomqjyrENmLxwZ+pUxWk38MPBTq9bPPcnY6x/loDpRje5zQiacMy5i2mmKdxFSf9f5gm6wWUDpJeK3hue4Mg+0azZkxf+7Ik7yp+QQPTI9ya3yex4b7Wd90YAyT151gMq9pXMyJV9aZHqjz2NY+ZoIxBkkq9/4GKuZL8uUAE3mO3l1qQe35SGUmMFIylTFTPIKlfjrwkMIZQ/iopH8sIm8JwoHzY6RHJAMhmR4uUENF7ZxmM25SdqXfrPsJLveMUlI6XKOGmKQgJaL8CuNIcQJbSs6NutzWuEAQGVpLKQ/1DlZwDUVmA6yQpNLfOE0paMqQz01bnMtmeH3zJEf1JrOdEakLWCnb9MuE5jUZp4ezLCz0yY3iUtFlRo0IpPFkD6HzuMHcz1Q75blIZX5FZ/IVMesEmfGp6E7dr7SSQRGTGU1mFHmmQUJYyykKhUk1VDAV5zwqYpKFbGc1FlpDbpxf5b4LTcxWxFYzoRnlbGc1+mHCpm74sknFAPQN1z/CzM1j3tV8hK9/GSxM4QwTl7NuPAft0CQMjU/jw9DzC+RWe9xfqVHSUtc5pZJsjOpsLLcRU0nzjK/9pvOejEWNfOc6HDjCkRfGE1Vq7wKftbgSXKQQmfHRaL63KSyAwNFOUi5ca0k/fYD/fkeD+ebIN1IyRToNWR01aQQZ8+GQgU12SUpiUdBWE2aCMRLHvgN9Oken3Jhc4rpwhVP5As0q+xsUMeHQ4VoNgkFBe1AQXurhjCUYlVy4Z4lfmJvnyPE1/tyBh/Z2TaQDbenfnpOcDSumN7crPSMqRIsoFbbiVoi2vFzP5Mac8ELI+h1+wkmUEPZ942m63+AS42kJrxlSFC30csgwrPTkpl7SiNDgnCDd1yA5OcGFwZ+AI7VAP+CkXeRUZ4Vr43Ui6RmqS6sqGZEAIyQTG7JpGpwuvb7MZwYnaFXh45lyFomlZ2o8Od0PQFLxB45sxNqowf3jo9zVOE1hFblRfm7agp76poGw/v+XBfxJuF1S2bTUlMaz/6uqFtNLE7JSM8kC7CBA1AxloTFT5WdKAx+ZYgWukIzHMatRg9lozF2dM5y7tsvmI/P0enWS+ZJpGTAoY/plDTQovErmbbXzzKoRi8oydXtP5pK5gsxZJIJN06BvvI5UXeU044xRGpEZfykG0hCrAi0tLVVQdiTPpgH0EmRZieJph5gogqFAjyAcOoKRn1xxAkwtQJR2t1ZqtUSnpYfKwUvGCH65zTrBMAsxdcv1713GfLjF+bcewN2QevltK+gPE9bjBnMVmbN1glgWmOr/bjDxTTrjyX4kXs6lLnMgJ3UBm9Ma0kAx3yCbDQkHJaZdR01TwrUR+UyAKCTL2y0ebx/Y0zVxDppdnz0VF0JfE3UVNwAVP0DmhytMDNIKom1H7waHWguxoa+bl0DZMUyPeycYJAVKOWxFuVjuz0ieipn0Qp/VOHCBRQcWayTDQyHJk8aD8r/iNVLnmauxgo+fv47oSElmNVmpCSuPVjjlyUeMZV20sE5yvpjh3KTL3bPrbJYNYlnwXDbP5zaPcbHf9rVW4wltC6MoCsV9m4fp6gkjEzGYxp4lXuCZfZzv3Hp5jpdBLVA5Iu07gUWpdiGcOzVkYyV5qZj0Eq+OGVisEbsa3ZQSxhKZVji6oWJl2iXWJW/oPMM3HHqYn372zYjNiEnbM82Py6iqKVbrgvEOFUvhHJNyb2U1AIa2pGclE6cZ25BAGGoqo3BtCqOYTkP6QUyoDJnQyMixlUaM89BHoxNFOPEqDDjQY4maCsIhBBNHODToUVHdZBoX+CxFTQqf4mvpm03wsoDKSeEItUHEBpdErL+yweR4jhD+xrdOUEwCVgdNZmNfJz0Ub2GQBMKQ2csyPQbJyET0TX23sWud5GLRpTSKyDrKRkDaUaQdRTAX0HIO2Rtx/H0pTkkuvrHBx8sTe7soxuuLWSvQWUUvXPEPW+0qGXeJwEedwcAPs6AtYurHics6FHMFzbkxrThjWmiyIiAJC7YHNYpU46wfNZWZrCRMvLSzA3C+rwD4ppN58RvulTlS5Wjt88O5g406H1UnePOBk1zfXuXMeJayUoksraTvPAt+ZgMe7HtRrotZh48ObuDUZ49w+LenqHHBQiMkm/HkCZMFSXoMzEzBetBgbabpRaxKdTmFd24XZO20eMliVV8J09rXR6dFsFvzQziMFQTKw3r6RYLsa2y3QCqDNRrZ1+iRqIihBWXi0KlAZiBWQy4t7+ffDd/GK/edxzVL9GpImgeE2pBXNWmDQOKj0lgWtGTKqgkozN6H6rGQ1KWlsJ54uHCaYRGzmdXpDROKXkRfOho1L3I3qrgli42EcFsSDP1nK4wfBQ2qtdITn9LriUGOM5yUSClwSmJjhcQz4gvjHawoIsRg72vGUjjGWYhzMLy+64UPlY/Aikngmx5JybiX8KyeI5wzSOFo6ylzekTqNIVTTE3AWtYkfd5mKYVlXg9YLWYIdcn2CcX8g5Yy8TR1wkooLbZVAyFY+bsZ6rMJS78W8txerklgSTcSZKNgh/lRGM/nbGMP1jdNTz5CxT1rEgemqp3Gnh6x9ViIngZMKrKa+tiTocijYDrGT0otlohcIOPSl4iUF9OzqbqMMXZ/Agz5O23P0khUYugP6nzMneCG2TWmpZeSqGs/9gd+ksMgGJURpzdnOf2hYxz64BbHhxcoDszgIoUsDCaKSDs+da9fEIwJ6BzYoqEyzuU1ilyjBLt65i7UWC0p6h7cvtempUXidhmrXFUfDZQH9UyLgCL3XAFCOsylGo2LkqzjEFaQLRWoRkmrOWF7o8n8Yp/eMMGer1OeafKFp25GRY6y5kkWlLQetF21rHei0tQGoGDNNIDe3izG86wmA6QrKVxJLHNiF2AR9POEMteIUpBvxQytIAhLpPTohzwylA0/6RX2BcmGh765Cv4WjB16bD0jfmmQ2RSoU3YTZGYwifbojtJ5iREXEozTl0VUWgsLxoFleEhRW7MMQ4MZB6haiSkUQvprpN+v8aRY4EAr5mCtx6iMfP8BwdQErE6a5Eaxv9anJjOGNmZBDZnoiBOddT5xaI7pBV2pzXoJa9kb4sYTzCuOUTzapjhgmX37KvzS3q2HSxWq7aMkmYMKRDXB5vXKfMnDYUJXUQEKiparGMCgcdGRdiXjN4wIAsMP3/ZrxKLg59dfyw31VX7hf76F+kXN8BqLnctxaJJaTpYFHg1SSsRUMT5S1U7D4CVNwF2ZIzWCwXIT2Sw8ScpU0dvs8PlLbRCO4IShqVNQ7JKT1GROQ2cstoacWWximhHrr+mSzXjwbW3FEY59rbOoC4oGuH0pb9v3FDWVMSkXMVOFFL4m9nyVv6zt5Y332mJZcFv3Ik8PF+lNY9+d1cbj1Zzw3JDKUIaO+JmYg5+YoJ+9RHlsH2qYkS/U6R+L6R+PiXJYd22SMyHJmiOdlcSbjvF+ibluQj3KaQQ5C/GQmvLQJ4XH7dbJmFdTHskO4Vz/jz7wr6A5oG9zNo1gy9Z2qRNTG3g8ZWAolCZe1WRGwGzqH8s1lBKZeyzhzmCB9Ny9hFPnde2nBjnJEYMRrigQUYjMgooNX2G1wIX+OikbAXoY7TmOVOA3XVdKsi4sfHHK8jBERJZa3SvzFoXC5BJXeHLmtXGDQRYzE49ZSoYVssGPQC7WhvTyhN/ZvJlQGrbLOpEoPcmJ9s23YCRw0hFtl56forIbvuY0r+ic59X1U3x675aEYOQwgxCRebpJG3gRSZkJ1ERiar7B6CIHVQQqM4GeClpnLVlLMP2aIfs7Q9JS85Pn30QvTZhJJnxq2iRdsCx9oWB8IMQUXnZlx4R0WCOQpWDhi3jVACVe0mVy5ejLoCKV7QeI0s/HOhyilDyzvEArTFmKB0SyZGhiLyGrc+7oXuCOr7nAb01eTbIqyGZcxcsodvXphQEEHJjvsRj02Sib9PMEkSlUJqhfyv3NYBymrRkf8BfJXttSMOIfzH+Gn9GvZG3c8BIPViArVpskKCnjgkEjIOopVD/FjcboJ8+AkEQXLAuPRyx0WthmjEkC1HQAzjG4rknWEtjIUatlRMrQjSfMBaNdmWOF5XXJKY5oh3WSk9NFnD21p2tSOsvQOvo2JnUBqQsYmsucs4DXXDLQPKkYBCHh/IQwKihF4OvfQFFR5QUDh079l8ydx4lOMtxkiitL5DRDNGNfEzUOle9gjStpjlq4544U8PAnPDOY3hhSO7PE5EhJmgZI6fG0Qnm8dpZralGOkpbSKUJZMheM6BUJ7fo2J+qrPDtZ4KMP3syBoxs8vLofLS39Mx32fQ4a56bk3XA3kzP75pDnljn9VwTf2T3DXDDkkO7t6XrIzLD4aT9cUTQ8pK2kUp1IK1q90OGUA+WdLM538zv3reDikLn7A4RNiKXERTVaUpCHLXQ/4/p0EzGaIt58CJEpZMfXpG0pEdIhpgqZCTqPbWO6dUTxJ8KQD+QShhplIRhIsvmqeJ76ov6FYYdEFTR16pUxbcB8OKStpywGfc5+zQyPfOY6RAnpwRw51Kip2K2HZbNeq8kgWcubrAyaiELQOWmJVoa4UIOWjPcFpAdzgrW9z+01gq6MeUfzUT4VH+f8tEMUXE71A2WIGiVFqRgeDamttWmvrEO3TX6wg5PCR1KBxCr/Pc6hRz7lEQ7KxDcqnv13H2R6UHDn3z20+/7zesAxDZEIebwoeWj7oAeh76EVSAIBNVlgrOC8mWWrbNArkl2aN4wf+wwmjtYTAaNXhSzMDcibAaUVWONn5mUpCJ1/ncp9NKrXh7gLywA453DTKaJo+Km3qkztqnqZMGBj9ZJmqL8SJnAeL1tBcMxsg9YZiw00KTGqWaC0Ia7lZNMAIWCURuyrDwAYFjFzwYiZcMxG1uDhwUFSo5k50OPi2VmiVU3jKcf+zy/jRhNoN1DTBDHNmR7tUC7F1J8Y8xdeeT9NlbKgB2xWir57Zs4x88AmANuvmGV0QFYkPiCqBpF1IJ1nxzeRQ+bC8/yubyKURAYhbjJB1mp+sgsQWnuWuCzHZTnlkRS2Q3RQUpY+pXelIOxLRCkwjYiyURFdv4T99oquKCEdF7/vh0mffIZgICkTh2jnpPfcw+qP/AQAwzTizHCGqQkZmYjUBnSDMW01QWK5tXWJE689Qz5fIjKFTSxl05IuWrI5i40t9SDnXDbL0/1FRts1Ok8Iuvet70YU6VzM5m2Czvxor5nRds1iuT6w3Nq5RC0qCLXZJUrQwlI+dZpz/+RnOPPP/gn3fuCf8/nitxmMLmJCyfBgyHhfSNZWFA1JWVeY2EduRSKYLAnQjkiXhNIQy4JYlJWoYMnRYItAKCYu57PT45xd7+45G/yzT+V84lMZPRtzvpilZ2p85lfX+NVv/12y0kuxCCOwgVeJ7ZwuiZ9IWLnU9fPU0vOzitKn93rqCMaGcCsnOruJu7hy+c2sw2W5Z++pMhYAaTw8SqVV/WuPFTOlcHzqPf8V+8yTCAuT/Qn1lZzJZ+9l7V//JGYYkA8iplsJKjBkk4B6lJNbTaxKLIJTk3ke2jzI4+tLPNub49TWHKE2nq925HXhbbsOgEhzRF5i2gnnv7VkvCgRYcjJ4QJRNWP/ggxhL8zBJ0//FE/dtE3e8ExpWcex/cS9nPm5/+h1tnbucelwicFGFpM4stdez/gN13P2O66D44ehyHd9hEtTsmvmmdxxGHv8II0HElzgaNYyTKkQ2jNHyVxQW3aMD8SkM5rJvKZ3/MUHZ1cUkbrSd870SHp5jG6JMJIi1R6OVI1ujSeetv5Ee20XpN9WniChrSdc31ylcUvGw5cOkI1DXFT9bSOQDQ8DuWf9KOdWZujeG7D4iTVEaXCBpujErL0qYPYWrzo53XuctRfiQxHJgHd3HuS+zcMUFZZUCkc+zvn8P/wws9/+9Sy++jbKnkB85jyTjRqLyyOgQdb1DZLdmXEL27e02HqLJz2ebtU9NlV4ccBAlCh8p/aIdhjnGFrDp7evo+jFLxid3CsbuIDUBgxsUgmzjT0kzApMIZGp51h10jvT7jOGYBwynXfYyKd30ZbHDUZ9Q7Q2Qa5uYbd7/g2qCFOAl54ZT2G2sUtaInOLLIzv5odyzzddj/e1xEFJ2vI7nR4VaO3QY4hXvOyMU1BOFa7l7wUtLLlVXBq32RzXSJ9pU7YNN99wfpd3Yb3VIusq1mcEZdRmbnsIpYHNHs9+xzHajW0mSzXkbJfUGJbzDnWZsVK0gaf3bE2cll4cUUDe9vSA2zc6shmPZoi2BOPDFvBOT8wWuAZwKeb8t5W0P5ZQ1hxiWsF6itJrL1lHuD6GtS3cZIJ90+3cftNZDtZ6DGYjenmNcRGyfTBhe61Jf6iRmUAcmfCao8/x6H98ccd/RY5UmMtppj6UIgW4XuibA9oy1x1y6n/cx+CjD3BmOOKLCw1e+z23cdc7ZhjJmId//Swf+V8niY/v45kPPUc4U+fQ33o78S3HyQrNme/778zcusjH7z9PdmGT9txxrlVfg5Ax9639Ot39NyHf8GZar13j5pkV3v+e36L7ynddyal8Wc2Pd/txyFeFJTd2Vnlkc/9uaj8461Oz9htvQQiLmFXwqhMU64JLz6xz4eP/mdFoGYSgO3eCa+/4Bga3NDFv6vGayT189B/ey9a5MeOvuoaZKEdVimZKWG4KNohFhETyWD7Lw5cOEG6ol8WggnGSddPiYt5lu6gxKb3eUFZoer/+Kcaf/CJmOCKsdzhy4zuYX7yF+rKh/9B9bDxzD8nsAXpP308YNTlx7buppfO46ZQvZr9LJ1xkc3qJse0zoxa5Wb+GcKB4+PEP01m6gf3XvN6nh4Xh8w//BEeuf/teLwdKeHRHPcxJmwVlFCLHGeWil5yZfdRwau0TbD36Bcx4hJ5pU/y1N6PeegQpHM/9xjMMfvMh4vkD9J66j+VGi/l3/3nqR49hZwyX/t+fINl3lLWHnuHB4RozapHZ7/wukqNDTv3L/0Vw/Y0cuPZ1WLPBdlnje975LPv+2hv2dE2clrjqWs1bDln6OqlpGkwNkg3HymMfZ3DvPZjhCD3fovtNbyM+cQdMNRe37mX4oXvIh20ujZ4kEgk3tr+GGTeL3Opzz/Zv0Dh4go1f/V1OvneNG17d5j0/eDP7F3P+1d84g7vtZpa+/lUcaW1zIO7xP77pIyx/5x0v+vivKMdxykcObj5HKodNFS64rKG+vtUkWJxh8Z/+TY79t3/C/r/61XziX3yG5RVYLVpslQ3OPDLgxmMlP/jZN/K27z3O6R/8VQ6qiyy0RtTCnLXffYKFd/4V3vBV/1/CSwOeXP4IlIb546/h3PQRkq/a4JXzF+g/u062MaZ19KYrOZUvuxlnsTgiobm7/SRaWkrr53qTg12EFGz81C9TPPoEoenDgSl525HOQfNr38aJ7/5+bn33P2TiBjy1/VGyNwy5sXuR3/57n+TOr9/Hn/nQt3HibYc49XvndwOrm6KLHNQJxjn6NuV9668m3Yo9Td/LoOQxcjGrhR8BLp2iqNajyDXBzBz7v/t7uOFv/xD77ngbz97zi+TpYLckMVk5R1yf5Y6/+P0cuuntPPbYL1AMe6A1KMml/BS3dN/C3bN/DSE1T9sHEFHIgdYtrC4/iJMCG0oG+TpZPqC774aXhA/8SpgSfgKtGWQ0W1Om8x78nWxZTOhlZ1pmhhve+T1c/3d/iLnXvoOVH/tVLj6iWT41T9kPmV46R/iKOt/6sW/iXf/gCNvv/xn+zN0fQ89P0RPB+N77uC35Gu5uvwcRJ5y/59cIlKH9pjuY3PsAl14fsfz5/TzxSEm2MSI9+so9XROrKyLqKkibznsBR5FJXODoXwtha46Ff/TdXPP9P0jr3W9l/Sd+CTMcIAcau1AwXTlLuHCAuxt/mWujV/DQ9ocpXI4rChBwaesBTvz9d/D9n3wDVmre+89X+YEH3sXMW29DfOYe/s31v8KbZ56ie/5Jhmsp0atufNHHf0URab2WkRc5m//h59iUnvMPJ3CFITx8ADsIiO54BVE9J4kKrn/3Ehu/1ObR+zJe8fY51osm9ZmIv/odNbRcIX73Il/4Hw0G95yi9ZYGhVG0rr+LE19sok5e4MTi3Xx2+Re4eaFFePs+ivf9GqsPFfzutTew/nO/Q/Kq25ncvvehl8VRspNLS04Ea0SqpLRe8iFohNzxH97D2f95Hxfe+yGK7RHNO48z+53fALUFFLPkY0Gx0KJZeyObn/wIjeQN2GfOYErH67/5KMv5mNu/vs7yL3um9EPhJreHvjYL8HSRcLI3j8j8PPLe96fhh777HEJd8KkbUBaO5NoljJHUX3k7ciIR64KF/Xew1vgYg/55uq0OwoBOGszd/kbUCPZ1b2Ul+D3Wx8+yPzoBCPbXrqfV3A/GciL4aj678j5uWZxlNp7n8eUPMx1vELfmuTB8lIWl21BO7/nwhp88g8/9449g5cdwRvBkAdYZ4sWDbJ/QHHjsZmxfYE46ktk72Op8DPPIJeJbZ5C5QDXr1N76Br64nlMcO446cIFPf2TK0huHXGobaifupN67Fp46zdw7/ixrv/UjYN/B7OuOsfJTv8VQL3P4iUW++IUVDr/1GK++6Qy/sKerAgg495s/Cx+6HN85YwiPHKA4lNN0t5O1DXYiaJ24k8HCJ8hPnke9toHYCFDNBvnfuRv1/afYp27ibPkEG/Yi+9VNmFZM/bXHedNdY87aA2R/9npW/85/5p/9u89z1x3P8Zf+/ZSPPTXLz2+9g62f/zA3veMAd85f4sMv8tCvyJHWZI4Thr/0H1/B/F2HWM1aXBh3ePo3nmXjdx6mvjRm9KkHuPQbXyBf6/MUjmJaEowHnB8fZ1DERHMN7hlfR03lrGRtgoUO6yslyysL2K2Q+UGMmLcM3nKC7QMl7j9Ynv5zEnHIUTtzC9MH7iM4+BYmn3+Y+W//FlSw9xq7Dk/QEQlfpF5UBYku2E59R1QKR+uaLjf+o3cwLQKGZ7Y4+yMfYOvnPkj3r/0Z1v/f3yZ7+gw2y7xgWyNmsTFkuJbSWogRQrAU9WmrKbP7QxKZc3u4gSQhcwUGx1PZYfLSyxgL93KQHhZ814/fwtxXHWZiQtbzJl/81Yuc+o2ncEYwvPc+hh/5NGZzC2HAmJwinyALXx8Oa23iIQQjix4VJEGLzE4qTk1HLBsgJS4M0Puvwa1YNo8HREGDubXbWbv4AIdab2Nt+WFu+KpvrpQp9xpH6pAC/uKP3UX/hjt59KlDtB8P2H7sXnqPfAFh4Oz4YTYe/Dhp2vP8ASaHrTFqWuFqW23MKGQqBGY9RtpFVj6ccPDUIsGqZGmcIKbruOuvYfDOAH7dkvYy4pka7TfcRP7oPYwXv57JBx6h/kPv4q7W2T11pDtb2/G7v43a8esZHfLk3dlH72P7iS8gtGXr5L0M/tOnKbe2PIdCnmOyERS+7q0bHfRYMbnrGLUvPEssm6R2BMZgtWDhSMCheIufeuyN6PkJtrR0x8t81L6C+TcF/MIvwhv+j5P88n0P8M0/uciJ+ouHDl6ZiqgwKOFoqJR9YZ+2njITjsnbW2Rhxq3yMX75vR/kG/7TmzhyR4dIW372mz7GUtTnxu55PqMKRmtT7t08TG4CticJa+c+SbZwlGO/WmMtc2zuTzF/toUNIR1uglLM35EyU+8z+QuHefiHfpel1zdZa0jaXz1Hemnv9ZgVgoaMMRX0YkHVuL1zgadWX8lsa0xawX2U9Kz40cF5um++jc3feYDe+z+CCizX/Nh3o1sJo3ufZPW/fJjMaKLZBv21FImhrTMUlu3ljFuPZSyqWWzF+7RlczbKJqWpHOneB+mAoyFT2mqKxLHs2hgrcAjKjW22fv6X2f+d382cPUrrkuOBT/8oOIcsnCfcGPehtJ5jVEnSYsBC4yii2YCRIhVTXBJhayGDZIiQiuJAE+MErdu+inO/9z6ac9egVEBz/ijGeZXRvTQhvDOtyxwdjVGNEmEDyhumFKfBrWxy9nPv55bXfxeLkzkIAz7/2E8R9d2uWq7pDyA0CGlxrYIs3aa77ybqFzNUZsjLdUTtGp59TweVPofQEt1KEMLRffNtnP/R3yB49w0oEdLTr+DXl5eBj+3ZmlRDgB72V0LzDPRu8DhbUUCx0mfzfb/Mvr/53ejbDiILzaUf/lFkZBCFh8+Zfp/Gc47tEwG1M3NMz2XUb7kON53H9CDobVC4JYpMY7YHSC14/+BN6Ckc/bqMx37oIxx/yyqdWsknF7+O33wuBh57Uccv3BWAk4UQ60ALOAM8XxF7FpgDzgI3AY8DWfX40erxjef9fB5YBzrVz48ABrgeiIBngLx6zsELxoFvwQ+5bAPL1WNHnHPzL/mEvkxWrcvZP+QlMdAGtoACCIBrgSmg8Od+9nmPh/g1EfjzXcWvVxs4BqwAl/6Iw9rrNTHAs1y9Tnbt6v3z++1P/Zo4567oqzrht37JY98GfKb6/ofwDmMD+PfAJ4HveN7rPgu8F+hXJ/f25/2dTwA/DNwLDIAPAHNf8l7fVy3EsSs9hz/pL+AA8H7gIjCu/v9p/AV0M3A/MAIeAv4ecOF5v/sq4EH8Rfa/qq8f3OtzunqdXF2Xq2virtyR/jEXbHdx/oDnP7GzQH/Ia77lD/sbV7/+9H9dvU6ursufljV5GUijvXQTQtSAvwX8570+lqv28rWr18n/3q6uy++3P+6a/KlzpEKId+BrIKvA+/b4cK7ay9SuXif/e7u6Lr/fvhxrckXNpqt21a7aVbtql+1PXUR61a7aVbtqLze76kiv2lW7alftj2lXBMifmZGueyDhQm+GsO+QpVdvFI4XkuY6z9yC8Do6SA+GFs4zG73wtdU/QuxKQTxft94pD7p1EkzNoUNDIA01lRMKQyBKnn0s3XB7iA+cm1HuyCHNY7154jUDxvhzkRInJWVdYiI8O7dy1VMWXX3tyJRI4RC4XS1zhyf+2JF2LqzCWIEAr45YSmQGKgeVGcgLv25hwNj1MOPxniHQw6DukqDtGYgAtMKGkrwtkIGXwBXVOStpdwlelPDyLEK43amXnatl53d2Hhc4YlnsElwHWFR1DQnE76MbOHu+ZGPL7OmaxHHnhQ8K8fvvBwfCWi/CpjyTFcpz1bpKcsU9j3NVuBf+D7uqQF7/qKSSq7ZeatgYTz1Yve+Q7T27f1Sz7vR8x//gBJQClbNLn2cV2MShqmvGD7WAsQJrPaeozAWyYFc9FouXC3l+9bLyJ94v8QIuChP4a0UWbvcwxr2LL2pNrsiRLh3UzPzI99D9xSVmHh9BaUEJ5CT3NzHVGJ4xuHrC8IYuveMKE/oPNBhB1HdY7S8EYUDljvpyQbQy9BeUlJh6iE38IaazIU6ALB1bN2rUa7aZqU843trgeG2Na6I1/vJ19/9hYPivuB09FHD7z7yH5F/fTOPxdRiOEfUaTiuGN8+x9irP3WpbJUG9IIxKalHOXG1MTedoaWnqjJaeUjhFWQmcGScorcIiyI1ibdJknIWUVjIZRdhCodcC6hcF7TMljcdWYZriZtp8/tTP7uWSEMcdXnv0ryP6I3AOO9vizDfMoO/oURSeAzMMSyJtaMWpJzwWjlaQXtb8EhYlHKbyDko4JG5Xtwjg2to6J+JllnSfeTmhIy2xkARCIpG7jhXg9e9cZi8tjjvc9arvwSqJzP0GI55/szu3+7icFohJim0mmHpE3g2ZzmnyppfjKRpu1xkIUwkoll4LXmaVJrzxXK4qBRyEI0e8bag9N0Csb2G3eriy4KP2l/bs/tEzXZb++f+JDA02VcTnQ1qnHcHUYgLBxisEnZs2uba7wcmtOZR0zCQTpHBMipDVfpN0PaHxnCbadtQ2DDLza6My61WHqQKy6svqne8vO+zxoqK+aghGJSZSfOrD/+hFrckVOdLz2Qzyd/ax+NzUa4RLEJUA2Y4DBTDzbVa/qsXwWotp5/4DLwVyophMBabmsHHFZG0Euh/SPjlL82KBHpdeHVQKrBKo1OuUy9LRPCdZOV6vNpo5EpXT1eMrOZUvq02c5XO/fjsH1sYgBEIIv5m0akzmvRN1oUMEFh148bpAeYXIWJVIYXcdQ2YVpb1Mtptb5Zmk3GWZ57JUXn0yFbjAkXUF46kiHMwQntvynIx7bTtZilaQ5fRv7FBcP6GmS9JpiA7MblCQlRotLJEuKZ2kdLJynn4tpHAE0uw6US0sc+HIPy4Mq0WH1Aakuk+hh8zIkqYQGMxuNO8P6WXQYDUOaUylHLtzk0sfLRqfmYnCQFHi4pCyFVM2AqZzmnRGUNagrLtd0UerHcGoikQrdiun2NWGl8Xl6LWog1UKXIt6XiCGI1y5x4S+RiDGyruTgSZeh2SrRKWWzZsjwmv7HGpt0w6mzNSmbI5rANR0Tk3nCOHoRzk900EWirRUJJsGEwpsKFBTsRupOuGz3V0nanzkKgpHMJbkTUm4bVEv4TK5IkdaDANmnipQo9xLIjuHSLMqXfA/l/tnWHltk8H1JaJR+pvF+ROwEmwiEPHlm8hZQaEt26Ei64Y0zyvCgfG7iXGI1CKNBQvRtiE5EzK0gqKrWRs0aF2bXsmpfFltvWxy529sIAbjy2maUuQzCVlX4LTFJQYd2N10NpCXWUUCYbG7qa3DCocUltIqQllp/FiJsRIhHFobTCkx2mJjSWkcRVOQzoQEy9p/HnttruKabNQQ9YS1u+D40jrr4zqmlChtfOnCCrJSEyiDMA7rIqwTSOGwTlBaia7WyjrBTDjhtsZ5rg1XqYscg2BsI3q2xsRF9GxBLMaEzjMtPd9N7DmPi/MlGCfYFXCEyqFa59PzHc0gJbFxSNEKyDo+q8tbvrwljJfcEMY7S1PJFovSa7+bxCELgcirzK+SMd5xrllbkrRryPXIN0v2MBYRFvRYYowg7EniniUYleStgOExy3XdHrEqya3mcH2baRHQiabUVU6kSrrhlHEtpNcc8kx6xG9EVqGnFisEIpD+WtpJ559XL3LKv7+TgqhnyDoKGynCzemLPv4rcqR6CuF27msQhUFMUl8DK0tfb2k32bijweiIhcQghMNZgTPSawhZX8hxVlQa1dVZOYGpWSb7wUlF87ygtpojc+vldMFrGE0NnZOKYBwwPqgQpeAT9euu5FS+rDbeqEG33I3IUQrbTBgdDMlmfDSKAFHVd7TyXKWFUYyKCKu94zBCkFtNbhSz0YRIGqYmIDUas+NQtHeqAEFcUmQKqx1lIihq/z/2/jvcti096wN/I82w8s775HPDuTlVlEqlUkIJhESwGosMEm1j09jYMm1oYYLA0LixDcKmoQGBujFCyFgogSQkSkJShVs53Kq6+Z58zs4rzjSC/xhz73NKIHHrVFiXfup7nv3suNZec6wxv/GF93tfQcgTxGSxdO5NBPjM4DqG6bmU5OKUnqm46QYEJxAiHhrWSxId3V1oHWjt4vb0REeahBi956qhq6sTeYxVVaIIOFVw5BdMfZSUXXiNoiFtt1mrPIJ/A0D+vJaxfidiZETLSCWP6+oQ2d6dozo/pB4obCai6m4SZanRIcpuyONbKBBkQNaSRsXQK6gAXqBkTO+FbZ1Gy+zgE4VaGSIWxXIdaQAzjpGjqmOdUjSexbpCbc/JVMxSvDORFNvUSAIjsyCVFikCR7LDZjZl9Z0LfvVjD9Fc03RvSswiEPLYQxA+lh2PiWuOD5cg2lq9DSRTT9NXJLuv/8i9J0cqXUCPixh1WQdlRXAegkekKZPH15neD77rYg3di+g03V2CUl5A/e8WmPJ5oNj2qFqSjhWydogmxAWQAlE5etdKkqlBWEOxGbh+c+VeLuULamZqEWZBKCtEloIQ2EHGYkvgug4SfyJ4dvIY5fCIWP9sI89UemYuOgkbJJLoPEqno/aT9BSNxnsJIsTPbR7isoDNBEHKmCksOyoVMWVt+prpBcGp0aSVGZFg24NAO47VcbT0dE1F0qps+iConUaKgG7TeklgblP2ZJ8j3WVNLuhIiyKwISsUgXlIMMIzD5oyBBwiOlsE7t9qP32JTcRUMsg7DlSE9uZum06icYiywq0PqAcKlwhcCi6N0WXQIRKs64Cwol3nEPWvEg95QFQSGoFIiRGaAyFjmi9tJJAOUhCyBFEvObUP8TVJC3oBuoyvrdgSGOOwQZIAtVN0dINRDi0dAx0z0S0zZt1M2akHPD24Sv2k4oP+QYRX9K5HJ+p19F1BxbWIzTqBqjyhPdCCC6jS4TIVBRRfp92jrr1HlHWsjx7X4aQAGwjdnPH9Ctt38c0NEHN5oiNtF+3k49dZVJ8EqtV4sbLxd2o/QiC8Ryws2khcZkBA/vLyafRwjtB2Q0PTQDen2EqoR4GQ+JjSKY8xDu8FtVU0WkVdJwLoyFk6dwnTJmMlXeDa6GzcZCcpvtcNpdXUtu0u+rYmlkQ9cJe261zVJzfqsuz45C9WFcVpy6TMMNJhW90v0Xbrw7FzpXWmqkbLSNfYeEXV1osHusIjqLxmt+7zSc6ihGckF2yoOR3h2FA1HW/pS88iCI58wsKn1CFSKjdhb2nrAdyJgNrI6NiJiuNI2YNoLChFtZ7jdVTO9LqV30ij05SVxAsfg5IQIirmWJbctfLFNqJdENGRxGhU4ExM+1XRxAaxXrL4HW206MDMI42i7WqqUcAEcdeB6kmlJVMNPshWu8zRBI0RjlPJmCYovnb1BWaPpXzGncPMFdl+QHhB8PEgku1B5lWkXTt+D7yR6MahF+6k0f167N40m9r3KhTlCdTmOB2x6z3qYSCImFLQyNZpis8qTonwG0QFAYQX2CzQdCSpioXi4EO8agAVN162HzDT9kHLNh8Ii0XsunY7zC+tc/Cwoun5GDHKQDNJsLkiWEkhAhM6UChEx3H21AEdo06gTrWLzZeJzbFBooXHI9hfdKmsoqraqLSFetBukqAgGBmd+rLTWAm2q2l6AtGzjKc5Z/pjQhCQeAadklQ5mrb2W1nNIR0SGSMOFwSptAx0wfPTLVaTBdMmQ4pA4Qz7TRcXJH1ZkglHVwok0FEBhSQTgSZYGqE48h1ckJQhWe6aHDeYZBtJHiMKXIg1Uw3MPMFoghaoOtD0opZ7020jqzqWx2QlWu5ZiVjEplOIiUpExSjwpo16nQDb7o/2zre9hGRa3oGnLdGEbyPSMiBrH1V0O55+EsX/bJB0lCVVlj4VuWroyJpURqfal1FYs/SGkVrwPWd+hb88+1ZmkzVkIzBz0K0DPfFhShCEQBcudvJNfC9k7T6rfv3vs3uLSEOIkahrsWiOuCm0ptjOcNldf+vFnQJ3EPFvWxyX8L/Gud7tCET83HQk3igk7iS6Cicd8UBn11ENJE13yekaELwnWIsQgub+bXafMVRrHmRAHel4ElYCGwQYj5DA2LDynCA7ktz4bSMubO3TOEWuG5JWejdRFukl4zrn8kdP07kpY6TeheZ0g0hdCyCMN5BLY+1La7V8RxrAJ5LFqUCwko3NI9bSthhXKW5fWcUcKHQhUCUUKjZNXu17/EZNt1+SaEtuLLvjHvMmYV4njGc5tlHknZpr6yO+Zu1FNvSUrqxYVTO21ZxVGVAI+tLhqJn7igPfQyz50BXOoY4WhE6K695x6sEo8AFZWwiBkGpkE9DeI/sy6rnnAZ+09dTmGG/dpvpEpxmSmOLHw1WcRKNeg/RtTGNiqUCEQDBR/+qNYLIO6DL2RCLqQJAaSwiCpK2FuiBYT2b0VMWqnsXH4enKGiMsm2aKFJ4Exx+/9Iv8pelvoZp3CBJULWJJQ4EqQ1syESRHreP0x1iyGLy9Xrs3R+o9YTaHcLcXlIh+j+kZhcscspaYSQum13ecowh3pR8h3jxmLlAVLag8UA8ExXbAm0C1InFpCws5rpGG47oSqMKhU/GGcKRAlAMeDRk/kNMMIrxLOIFoBG7N0r1vxmqn4L7BPpKYsr98cZ3ZL66iXsk46HXIkgasQUlPImN9qHGK3VmX/msSVQamF8Eb0Iea5NBQPFwRvGpvphiRojXLLgcCuFQSNOSDkkdGO7wyXUN+ukdvBt2bnu7NOuKHrcOu9Si2M6qh5OCJhEIFGqOQAuqDjCuNQl/OGH0GkrkHEq71B/z9zUsUmwF1fs7bzl3hsd5NfuvgY2yrWH/tC4tXs3Z4Y7nRV1CS0EnxiYp10hA+S/5ENA7RWMQskL1ag9G4fIViXUWMaIdYKkKeNI58Fg9sBKBjSi8XKt5/ApQFn7bprY7VNgBnJFpLqJeMZWj3qS5jeh+kOInUQxB0TUXWRqM9VTHURZR2F02UthZ3arwjWdCXDUc+YaQW/EePfpR/Onsb+jlD04mO9BjypKpYDgtaIlxAufa9OK5hv067N0d6bHfX36Rg8dAG87OBdF8xeCXQ2bXIFsZRjTSLTUk1ihg4ZExP0kPoXXdk+00Mp5XEG8n8lOHgSUG5EWj6Gr2w+FTHodb2PhCNg1xFYO0b4UANsfwgjKEaCVzqT15v0AGROJpG03jJ7aJ/ojA6zEsOv/aQeqeHnebQhzQvcV5yq+iwqA0CmN7qoy4EOF1ybvOAVFl2511mH1uj/5GU+XmPPPYRAUJdx3LIMk1AOZI0WzVnhlPe8y+fIplAbxxhPqPnZ6j9KRQlCIGxDr03pTvqIm2XPZHSfWhON6nZCyBup2x9wGGmjvTmFDGZE/IUpKQ+NWB+usMHHnuUxdcYPIK3d17mbemYTEBfWlI3W+56AEiB7acxMDhpfLQO1QWEjYGKyDLoZIiyZvD+q+S3Njh4rMP4IYFNIZiAT1v1XidQ/SZCtecGfahPMr8gY6Sqqjv40rsraz7TyCVnLrEEAbrwCBva1ywIqccHwbTJKJ1DS0+uGs7II1LZcOQ6NEHTkRVdWZHJBkcs72ypmr68Td1VPP/wFp++fT/ZQRzqEW3TSRceKyQ+kSSHUSstRqaBkLz+uvE9pvb/9o9Ev8fBIwmqhO61OLVU9yX5rkOPK/RcoRcpkws6OtIQYVTdW/7EidajhNmpWE9LJoHeZZg8GChWJZ2bgXDcRDvusMl4kgQJtvMGCL0AIQWh18HmxFS7FoTMQ6UQhwnNbsLt0ONm5pGViIBqGTuwpJ6wnzLXjmFe4hGM5znlOI0pR+LRFwpGvQItPYly9NOa8NQBh9eGjJ7TVCtR0talMkbHS9Yn8lpQjwSDlQWnOhP2numi/+UQXQayfYuoLSExEV0QAvioz6T2JuSrKfmthOxxi5IeUk//OU1+Y45cNLG8ZHSsz3uPnlZ0b0B6qHiOB/lY5wH+weY7+J6n3sP96Q7bekwmmpPR22XZSaR13L1vewA+UajCErREDvrMH9vk6AGDzWFw2ZOMHd3bjvlpjR3EqNT0a5yVeCvRL3bQBXSK2LCJ5bSY0pdrMuofuThuSeu4jiOxkHx+MdXnvSYqQrp0GZAunMgzq6ni8BPrTAuBmcXprFc78C/vs1y8dJtzvUM2khkrJopZpbLhlWqT69WIf3X1YWaTHLmTQBAkVUyJhQ3IxuMTiapcG4gJRFtSicBS8dnTZv8eu8fVa8c/Q4g3qhQ0p1eoVmOds9wQ9K56sgOLrBzqaIbv56iuIWiBy6KwmSog361RiwbXNWQ3FyRHmunFnMVW3OyygWpF4LXEK4nwARE83iiQ0HQl5Wo7w75sEyCSBLfWw3a4K62XZLsSvYDV5yMutulrvI6PqbsxUq9WonKiaxQdUzOrU8rDDHOgcUnA5x79Qp/bD2TsVBK1WjHoL6ithtzR9HWcYBFQDzUdrZdfIwVsBqf7M7R0dNOaRS/Wv7L9Fiu5u4+bzRFpijC6LUlI0oMKWSdk2kbcYOJIjzxqViHmBVhHsDZGs3mGamycfqsNnZuG8cOeMNcc2g4mczgE+76LZX+p6xG5JjzCemYXOie9gXy3Qc0rhPXYjQHzTU21CuWWZXFeIBea7nVBMgHbU9i1JjrRqSG/oTn1ngozrduJHUmxlaJKjzexBl8NBcV6O+WkgRCDHVWa5eON27NNVceTjjG9NnNJPfKUGw1VqZClwEwlyaHitcsblGc0dqBOpts+OT3N1emI/UmX8EKPfCGwecD2A+W2x6US2Sjy/ahSG4RA1R6XSEKikbPyDo73i5/aC1AK6jrO/puUYivD9nzcELdi82fviZTsMKGfKmyuED5Gqj7zUMUTRk9rbC/h9tsyNj4sUI0n37PY1DA/K3BJoB5C048wJ104ZGHxmY7RqIpRnaru7Uq+sCYQaUrTMwQZ8X1BBcgdi9OCM78UmFww5Hv+pNjdfX4Pt9ZjcTqn6SkQkZBlUmUsaoOcKYSD9ECiShlHCqvYqbdHCdPLOc12DbWkHsQROD0TFGuC4aBHuLXcFQkijjKmypJKxzAtOVwNyNsiOnvnodtFdbtxAyt5h6+hamL2AhTW4Cv12Zr03sdmpxQtekQiGocsBKufrpifTbAKfu7KI7zr8ecZyQLFgp5c7hScaDx6L5YYOqlGzWoA5KxAFBWhk1GcylFNYPAyyEpjezFiK7YD2Y4g2xHMRgI/M+iJQni4/bYU4dLY3e8Fmq2GzssJnZsBswj0bsRJoeO66XGp2OaKdH/Jk4EhOnhVOFyu0KWj6SlcGkjOzOlkFb6d6KsaTVMmsNAcTjsM05LNbEpH1UzqjEmRUZeGcKqBXs36cMZKVlBYQ9fUfDq9j61n4+QkRHilSyS2a0gW9UnwcTJd9jrs3rv2SoKMx4gwhmoo8cYTksD8gmdxVqDmkqYnqAcZqgi4VFCtRrybcLGbWI9Smr5GlbD/ZAwrg4zpSD30+I7HIplva6SD7q27AMy0J5iX2N49XckX1ITWiF6X+ankDnJBgko83Qtjbn1nijtIIUByEDe/fHIb4Ymz051Y/1QqvoF1K99su4HOTUFnx9O5UbL93oA+XBASzeShAYvNlNmFgLRAEDT9gF6I5YPxiallciSY1SlVqljL5rywaUkPY+G/2RqCAFlZROUirG1egpQUZ/vUo0BpNY1TiLmm7gncIEPVEaeLa2FCmabczKmGit61impFx/LRRKLPO87oIy60k1Pp55KzfTHM+xhRe08ynRN8e8M6B8bghx3KkaJ/rY7Y0Upz8IiEJKDKmHImh4HwiomZWIh75BgB0wwCoW9JexXlY45yPaVzQ7LyoiffCdRDgZUR3WF2PGZhT+bzl2ZexHKEjOOzwgaKdUmzasFKpp9YI98VyBrCCrjTcfS8OsrY73RRQ88pc8SZzoibkwHBSoT22Bsdbu7m3Bw0CBk4s3FEdmnMeHfE2nMe3fh2GCDgE4nvJIiqabv2r//+uffUvm7u1N9UnAEG4p2j2zKqhGCik2h6EW5hu+Hk9HEpzE8nCB+7Z01PYHOwvYDtRKeMDAQTWGxLVAX9Kz5eoJNg4iiZWYQ7I6RLNNc11Bc3aHrtae8FKE+SNmjlWBvNOJCeZp7QtJ384+aQKgV+syKUmoY4/mmtxHc86WqB/FQP4QLlZjxsxGZKetjQvV4CGT6J70FQ4HJap7r8tB5iHfz63oj1fMZKUrB19pDZy5tIG0HXemEjYYeK6S5GU2/3mW9pXNdTW03ZaFQRSwKL0zlde+x8AmhJ008IUmAWHtvV7D+h6D+5x+Prt3iou8ORz9kINa9/VuWLbKLN6oRA2OOhlhiY1MMEUwT0vAEfSA8qjh7o4zqQ7QU6u57FpkRYyGYRWxqUoP9a7NrPT0sKI/EdgS8V5J5yXbDT16SHbeRXxlo6AVyqkNWSD91wJ0JWi1irbHqxLxAud7jwryrMQQEucPTkiGpV4rVCZJH8ZzOZ0pEVRjqKytAdFSyu9zjzSx698FSj6KCOzp5i9qBFbwTKVUX3hkdafzKG7lKFrpq4D/0XPSK962spTmbLZSPwUhLMMZtNiJFW23i5+/ERAxehTl5HJ9sMAk0vENIWynGXiRCfQ8+bkw1HO7GR73uS6fIdqU8E9cgQhEDaQLDgVEDKgFGe3DQ8cfomPkhuzAaMZznBC/K8xjqJrjXOBrwTrOYL9o96YDx1Yaif8hQ3YxQbSxxg1lSsy3ro3vBtnbXlZPSxcfNGcKaqCvhbGZyLlHjnB4d8aGud4SvhsyIh10lifU9LJhdSFtuxawvQNArZxEN5fJ/Cpj2SmcdMLbJ2qNLGxoGRzE8nNH3PheEhv23to1xKdjB4mrD8wAtoSTOOgxAJKomAeCUJWUoz0BSrgmrQbbMVgfCQ3xbk+46mKyNwXMZaoqojWF86GLxS0Lth2H3GUBYdOnuSZhiwXY/rgHCK9DC+J6oiRu3TBtmWF5ZpwhH5UquGkBrqAaTdmmpNcuOrM4TLEA7KDU9ybk5Ta6RyJ2Q21+o1Xput0slqzg+P+Nh+h8OHDOlBoFyPUMyVFxzJRDF+EIp1STJVJOMQM1zfDrKkBjErY2T6Ou0L0qoLzsfTJIBoRIsQbiEWx1xULQD/ZFzNtDitY3hGEqPVkLkT2EYkII2PVy2+TDQuzsUK8CpuqGJVMr3whbiSz9NOpiXi10GBNJG0pXGSbguk7pmKR1ZvY0eKmU2RBHaLLkfkeJ/gpjFucjYChKXxJNtzCpOT3TTICpoOlGugWjrCpgdIj5nIyD9Z8oaYVkGAmXsGrxgWb0rYzGaRoGVkOXw4Yf2TAdkoQqbxRtD0FfNNRdOHYtuD9kwXKfVuh6yKDmNx1lFsSgYvK9KOJJm6E77JYsNw9JDEZ45pk/Hx4hxdWXG/OeB4cnbppCWRsQaImFJhXUQfhECz0cPriKu2edv0sIFsD7KxJz20FBsmNjFtjERVEfkVyhVB3jd0P3qVTX+WpqvQRcPRg4ZiU1KveJqhRy8k0oJLwKcC4Txy/AaAhUGL3IBqNaXasmz3F6xt7nH7VJ9FZbBO0k8btvpTGq+4PeljlKMJiibEEepeWvNAbxf9iONj3bP4tKGTNqzmC66+ZUQIgn5aczgaoguFKj2qjixzx2OiwqjP6f65d0d6F+ECtCwqEJ2gFzG19PEkjWB7ge1HkoWTSQsD6WFAFxB0ZLj2neMFjakvUiBsTPllzHkRWrbQpwjaFQ7k8gjPTyyoSAwbabkibZ5SAaMc3aQhVfaEFi5XLnJsEjgoOyyqhKoyuEqRry/omQqpAs5F1u6t4ZSN7ZtcPT9issiwjSJ4ickamtKgRcBWGlcbVHnsMTxiyTPUQcRIvXfd8ZlPnePUWyYcFB3wUNxfc21bMXghQzaxhu6yeIOX2xbhBWKmI7dN5kAo0gMot2DliT32zRq9KxKXCHQVWGxIphcDrm/J1go2sugcdmwfIyzbakZfRpKYpZoQEfva3qgh1xHKJSW2q7Gtx1dVwBSxu6zqQHJkqUeaahjHRlUNTUdgKkimMfPbe9qw/+T9VKPYeEz3VZxgsiKOk3KHtCRmhiFCyT6HNPaLZZE31SO8px5q1CCOD29lU7ayKbfLPpXTSAJaekpryJOGrqkZ25wmKLR0pNpy1HS4r7vPygMFL03WaZzCBskjm7dbAhzPbqfg8uw02aEm360RjT+h+7xbqeP12L3XSO8Gegff0lFF5yogUndVYGaCbC923m2vnREOoMuYgiIgHXuCkDgjcF15wmJz0vUOsDhvWf2IQjSWoGO9I4L9Fck8MHph+SlsUDC9ENlrjpl5pPInxBxShMh0HwSl0xxWHY4WOUVlqAtDqBQi8UgZSKQj+IhDdbWidhHicaY3ZqszI1GW2mmOqpx90Ympr4kEFqpsSwsrA1yR/ftf+Bd1UeJH51bB9i93uPbIiKrRCB1QicMbx/gZhZir9uAEn0cH07msaXqBuisiZwPRufRfUhys9Fh7eJ/9jR6Lm1nkZug5zEbBW89e4y3Dy1xKb3O9WaEMCUY45kGThcggtVQTAp8bhItRqLAe0ljWoC0LxWkbKFclXsHwNUu5ppmeiygOswixhBPAZrE0dhyc0MrxBBPuENiIGMyIEMsjwguyQx/p6qp6+Y60fZlBgO8kVEOB1g7rJYUzrCYLHu7fPhlieXm2QWl1O/1naYLioI5RWN+USBFogqKrKx4d3cYFgQ8SIx1aOI6aPEr6nC6Znu1g5op0P8LnXKbx6ec2pHDv8CeIOFIPWIuq4/iZCOKkmZQeCjq34uRFuSbo3IzO0ZsIGM4PIquTqgKdfYdLddQ1ysMdElramdvMMXztrppf68htFhs2xzorS7Xj8kU7EouKnKuNi44whDTS4AmPDZKDeYfZNCOMkxipJx6hPJ205uXxGsFJVCGxWlHUhtopVpLihEW/bHk6rVWEEJltZLv2IgTmD4wQV5e7LtIG0v0aNSkZfqrmM5e3WVmfxgzOCUxqSfolrMZRwKZR1KVB30jRBSAEtRNxsEFB0xekB4H05zIOnsiQZwo6Dx1FrSvp6ac1FzoHvDl/jUtmzGPJbV5pVln4uPa7Ll96RBqkIBhFMCAqh/CWoBRBqYhsGQqaQZwAdFns1FeHitkZQbnh0YVA3hCYmUeVRI5SxZ0+hAc9jRkboQXey9CSJwta5rmIoSwcoqypH9iGG8takWjJPHKQ+jxirL2TcX8HSSobNpMpQ7XgwPa4LFepGs0wL1lLFy1fr+Gw6uC8ZC1d0DvGRKrqRNNr6jJ26x4LmyAJdDoVi82cxb4mOWpiIzsE6tWM9HOAG997RApx5h4QKKQNSBuJElQpMAvo3PaoKnD0oKIeRUhO75ZDNiEy3zeeeqCxuUCXgc6ex/YkdSBCOSTYPEQC20qR7M7v1Ja0xKXxa9lEQtZlW2TViTIYBBC1xNaKRUhRIqBVlNEogbLRzKYZ3kpkI2Lq2l5Cpi0+CEIdcaPJgWK2mnLTDCidiVNN0lLYOz1o7yTBxWj+eBSw7ssTNptlmSodydV9wnyBWBkixxrWiVykumW895JEW2qrqcYZahw5A6b3e/SpBW86dZNP3jhFmadUa5JiU6LngvWPeYrrHaaXUjbv2+f84JBxlfOxwzOcTQ7ZUHO6wnK/OeCVZpWpzz9rJntZFqTAdkxskrlAMCpOF2lJsaaoR4JqFLDrcbpi8KzGpVBuetR2QX2Yomca2QjScaAeCYrzFjVXLSmyQFqBUwHb9zHSByJnKScaaaoOEcMaArNzy89czNwRTDt04wERcF5SO00TIiva1Ge8uNjk5nxAbRW9pOJ0doQkUHvNPl32Zl0mZcojaztc7OxzMdtjWx/hkVyt19ite1gfU/0AuI5vMasKuWhQQDM0NIPXzxJ2zxFpCKEFQ0tCCJiFR5XqBFphpjElH9+vKDc93gSmDwhcruhe9wgvY02sxcFFsoIQiUuKlliBiCvTU8nWsx45KyCJziNuRhmj0XY2d9kmW/JYXUHIIeg4GhpUYL5IyfKoLTMvE+rKoBNH1i9Z7I4YfDhh+FrDzptzrjmJNJ7Oawa9gNlFj5+mTBNHpiMTzmZnipGOqU8xxsaaaQA9i4qiwnFCBrxUqxv87j4iMYQ8iX3IICJfphfYRmNtoPAJYT/FzKNEhrCxcWlrxbXpCO8lcqbwqceeqlnbOmLit2h6MdW/nY1Y1IZO0lA1mp+VjzFUczb1lJFc0JHVCSepXfaIqBZUKxrhNar0uKyDqmPD1mYC2wm4lnoxuW7Qi9hXyG9J5p0EPYtojcW2oB5GrlLhBG5oYazbefE4CiqrqDohGtkOgbSBR9POnIeAXx8u/cCVTWyq+VyjJnWcvvKSstGM64wD08UGxaTJeP5gk/E0x7lI5uOCJJU1N+ZD5nXCanfBtEz50LVz3F7rYzYc3XYW3xFTfBvkCf9tSAL1AOqRJtn3UHuSw5pq7fXfPPfmSGWksQtKxRE95zDjBmEN3rQ3cS4oN2KT6O5OcjqOs8WqCYgixrM2g2oYUxGbx3SGQItDDaTXJf1P7kXYk491UVk7OjcKfKpi9z5ZvidVdXSmyFgjjZG0xJcKHzTOSmZtpGm6DVnaRLam0yWLOsOnhu71gGxSVA0rLzTYLNIIFs9UNI1iXGRo5Zk16UlEWpYG18g4z9+u22JToqrAqdXDZS7JiYXGIipLSD1GO0QlCWic8eAEcq7IdyTVusd3HOlBXItpkbG/nyIrweA16N0EZzSz01sYD4uLlmYDsIL5NMPmMUt5aWednzFP8o7RK2zoCX1V0BWRZs2y5AachGoQHZtLFTYHXSryXR/RKzlxFHI3ZfSiJz1yuFSSHgXcdRMn3Q6jPtdxICJrgVPRmTorTgZeZCExR+oOEqaFy0kbo9KgJfNzXeanlutIdRlQtW/LHhJvIvlKJQITnZLIHrtFjxuTAZv9GecGh1wer6Ck58OH53htf5XqWg9ZCuyKRaSe0eqMW+M+P28f5spolc10ig+Cykcy9coplIgltWYYKNYk3SsKUVpkYZH1F5sh/ziLPsZz+oDZnyNtB9vKIXgd4Uyj52HlkxPK7Q5NX92JHEPURsn3PGZcEaRg/+kexWYU9NJFPGmD9phZlM3A6NiJbhxCCQISWTmEemNEpF6BbBtkQRKlZa2IaayHsEhjd6DnSLOGpq1t5p2a6v7AZDUh3dVke9D0Yf8xg8siVCxJG5TylLWhm8U5/NopFrXBlgZmOup6V/F1uBzkNxwy+JUlz84eZ5VKgfeoqSLTFmnBSwFOISpB54bEdluqNxvnq2Ujyfagey1KCCeTFp+cximY2bkY2apBg6slvlFYE+VtmlLz4etnAXh6cI0VPeeB5DYd4U5knZdlQURok8ug6bUTbSI2ZptejM56VwXJxJ9cMyLiSZuBb52hJJneyYKEE6hC4oYWNYolAW8FwSZxjRaR4wLi85tFxOD6VFOOJPP7lqw4G8AlkUCFron1cStoJgnj9v1qnGJ7MOW3n/oolTd8/Zpj4RMObJfdeY9SB+xaLJGZvOH+lX1qr7l8uMLHd0/xwErSNnoNldMsqgTnJdI4bEfhjMLlBjMtQUvM7PWvyb2PiEKcbNI6pvi7B+S760zzeBK6LE4oHTwp0FUfXXiaTow4vRbH/oRk0qD2JlQX16kHApfFiSbfxJQEL+js/hpged0gid09L1rmluWjN2Bk2fiYZe9xTViN0KeQO5T22EKDFwQd4uhekeCdQKiAbRQmsYhVT6VTfKIjRnAAzcghOhZtJUp5nJNUVlFbhXWSujKEUiGtOJHdVVVEnr/91GU+IpYtIdE2Jq1Fzhasfyywc6Gd5w0gKkG2K3EZ1KP2TWxJPMp1jyoEZhb3S9NVlKut7EbSKmjWEjc2cTjDgy1y6DUgoJqlPLe7DcCZ/IhNPWEki2WDn4B40DW9SNTsup78hqJ7q2Fyn8FMxUnN33Ykti2BRU4JESVCasgOPF6JVnpE0AzAG8VgcxrliacdwvHEUDtbL1w8lMw0DjGUGxnTi4Jkb/lRuu0q0sOGIATJ1MfGbQDfSBZlymp/zrdtf4KZy3hhvoVHcHMxYDOf8o7tV/mQthS14YmNmwx0RSobKm/YXXTZ2R/wvFP0s4oALKqEojTtgSMj2ikEXCpR/Qxc1M16vfb5NZsg1kithdmc4UsFxWbnpNsYZCx2336bIr+t6ewE8j1/Mpomm0DTN8zfdorJRUW5ERmOhBO43BPSNoLZqyN349067Y1FNCreP1J8FjHusmw9neMSGU9TJ1DakeU1ZZHQW12QGcv+Xp+m0shjsbpF5Fi1hUYmDpE5mhUBqYNKxRHZuaapJcFLvBM0pUancS3sQiNLiawEet6e3G3H91x2yEeWtRjHJgVyZRSzF60YPTdldmaI3Wyp2luvVm6203FlVMk8nuBqRp5mBao1iTcBnztkIT/LMahWQdVnHnMkCdOUZrMBG7V+XhmvAbCf9zitD3kjeFIziyiX0tA2WkBYT7VpMUdRMUDYyHxW98GnMTNxWSQvcUlkPkuPOMFqN0ByJJktUrp5HUUnk0Ao4yCMLgRmFlNoiD2Jxbqi2rKfPa24DGuHbNS8uWv8TIMKKOOR0rOSFXx4ch7rFd+z/W8og+G1eoNfOniIDxxtMFlkdLOa1WTB3KboVq7mkZUdqkYzmXYoiraBJALexb4CjYylkBDVHCYP9EiPLNmt1y+r+nnBn+L1C0gScI7k5Vukj9yHzUSbfsQuvu94FqcFLpekhwpVhpPJn2PJg+MUFhnriiJAcK1zENCcGqEP5uD8HaCs9ZHkwgnEG2DWvi9Ldp8RDF8MLE6JyOyd1lirWOkUKOlZ9A3l5T7JbouLrO+UQpqhx3c9wgpEaaJ8RO7BxKaVqxUmb2gKQzNNQQVEpU6mw2i1eqyBb/n2Z/kz65/hJ5a7JLhuSvnwqZilJBKfRPhbUIAM+DRguyJqcQUwUxmJKVqehqbvcd34EevOnmBiSi9CHMSQbafa+VhbU0W7F3RgkJdMy5T9sksZDD7IpUuNHFPGBUF7INyZUoJ26k8JzCKQzANHT3hEJU8oEn3LQ2FdpdGYTQAAVhtJREFUbLgmkzgAEycJwd7uMN2Q+FpFXXsf+xOqjk1dWcf5fZdGhIDILeJwyTpWQHpkkYsWguQDBI3IHb1uyXyR8ur+Kp8utpHXM947uISaS5JDSTOICAd1pFl0PT9+ewi1RDSRC3jj9BGJdkjpUdpHzLUIIAICEWV/nGqlmmPDb3BQIXdef3/h3hxpy0F6IiXbpvj+8Ii1j8+oViLBwt1KoUEHqhVP0xcn2trHeFNETHGAk2ko4UHNI8ylXDXMTitO/ZsqMgMdS9Z6T/Cq7fYvfxwyFYL86T14fj12n0NUxNS61WPXDRv9OTdOaUqR38HKHo/M6kCyqxi+BNMLgnrFo6cG24/ReagkjdCERds8OIYPdR2iljBXeAO/8//yy/ylzU8scylOzK56XvlOReeqJt+N77GZx6jZGwiZx/bagzV35DuStU+V3HhnTpOF6BSDRM9jw1I2rbRu2wcQPkrUIOPIbL3qkHcdOM5LyiJhT3U4tF0cAsNy90okV47XL5sotwPRkYpGoBcCvYhg+nTi6L2ksV8x5cLaAavpgr4pefcrl7C3IwDddsIJt21U2w34Y5XWRpxMuulFhDxJGx217RkmT9SIcOdvlmmycpGrtaiQRqFmErEWQfnNJMFPczo7ku4Nz+2vjiiG3g2PqgOT80kcNNiXXPqWl5nbhJde2mbwKUP5mQ2mlywrp8do5XFe4H3s+HsvqLw5kbROdxfkH9mFosTbL3aN9Nc70aVEfOwFVk49ze4zOqZbeRtliggK9oEoy+wEspaIpu1wHz9FKVFVq8Ft41RUudJ2OHspZlrcaSy545qa/41VSb9EJhH87FM/xJtv/Jd0XzKUk5QX/sGP4fsryN/3TspEU9SGLK+pz3isVXeaApUCL6g3HLtnHXo3of+qpLPjqQaS2QUZCV0koALdjQXzo5yQO2TiCGUSIzkBf3L9WSBf9nIAsJ2P+b6v/wk+MrvAv3jfM2x8QKJ3PTaXlOuxxhlGTdQYSh3jSxpdZPCWMQ+sHHGqM+GR7i1eKdbpqYoP7Z/n8msbiEJhpoLODUG+7/Ea5mdaGFAKSgawgt39fsTXdgVNUEx93k4Ail8E/lEI4e99qdck1jRjOu5NrHpExq5AfjNCCF1GK76mGFx2cLnD7kqP6795fLJvQsdhU0H3VY3wRNnvNsqVKkTS58wjDlTk/i1aspIiHiTCh7iOY8l9Pzbl5S/1QtxtAaSN+vKCeO3ZnqC+745vMDNJvhPZ80UtTngchIf0KOLY6z50dM1WPkE+GLixOWB2q4foWIZ5PLFKq1HCsqgNRZXgrUS1qCJ1+wi3f4BIki8B+xOCXxr/CE/k72RNnzn56XX3Cter5/mK9wzw5n4OLylKCX5kUalDKocxjqbWOBdhQViJsAI1i6mLdKKte0H3uscsAvPt6Ehvv7XDmZ+ZxTHRVjRM1jYyBpnlFMuFEK8BW4BVEr79tx8wP/8sw9PvwOxp+r/vO9GJY76QlJVBa0cIIgb1Mo6DqszTpApnFWGcwMQQVGB2jlgikNB/DcaXIorhwpl9DhY5Qnu6/ZKySAi1oHio4qe/7m8ylDFS+cX3LPj4p5fTtW/XpXP/Yynv6rzM13Ve4vb+R/mZf13ylRf/MLLJKNdjTdR1IOlHjK3dgoMnU3itz/NHOS8UZ/n0/Vv4IBjPcupJypX/63/L2T/9p5Ab61RrgmYgWZzyhJ5FzDScLmOTpZIwTwl9S6IdpTfs2P7S4U8ESKaBut824kRLNdlVvPw3/yJ2MUXIOzCU+/7on0YPh5gZmJ8bItvmU9rWkfGx+RZURGyE1COVwwmNmquTenIy9eiFO+knZFfHPPpX5m8IljARAr/y4f+JJ079FtbVaagb+lc9Lx19jMUvP8vGf/N/Q5XQdGM/RM+j8F81VKRjRzrxVCsKn8D1/+clmo6k2JBk88Dsqyy/9bFPsFf1KJ3mIHTjwEsQNLVGLOJwAyLgxxOCD4SyQq2tQvH6Xv89pva0DDaf/XDRDvqHxYLhr15GF+fYf9wwVxqvPVIK6srgfQRjRz1ugZ7ItlPJST0nO/Bkh47ZqcgKFEH7AbvWxdw8ipMgUsamk5efE8HAF8G+PYTw8296Ig3f+8cG/O4/8W7kymXWf/fvYXGYUPctNBLZj/VSrR1aO0DjvcA5GUlaRDtnLmI0QdMK6AGHa0Ty27zhxv6QpjB0hlG7yc4NnQPJ5tN7PJp0fsMX+iU2dbDnaYJkVXnell/lZ4cjRIDRh3cYP7BNcSo21ULeEHws8rqeQ5SKzksJo5ccsxc3kQ56TSwBXAGyPYFSEtsNNGctZljRFAaGDZ1swXzRQc1l9DOppGo0c5tyrV7DLzl7kRZ0EahGbeblY6NF+CjBc/+3fg/5ww9HfOmCCBYfeOqRiIJ3XRtrxJVshfPaEhkRPqa7Da5RyLlClwI9j/9PzRoQKjKoKYmYLiLi5pgbdZl27MdDIGiFsI7+5QXcHyGCoopSPdVKnJxstmpUkZBMYLGh0GWMxlUJ44ua6X2ekMTI+8H7bzHQJUdNjrcJRjlmdRLB/LWM/B8ikE48oawQSiGMRnRe/7TXPTrS3wC0KQApeXnvPVz72VeofqbADEYMv/03k3/F4wQRmL33g8x/5f0kp84w/+CHMZ0BZ971OxicegizCLzw03+L7sYFJjsvsZjt0LnwIGe/6bs48/6G9+3+KN0HH+GJxTOo3TEhTfjVV/4+D2x/7T1dyhfSlBK85RslF7759/PSj/4NRle+nsN/8YuIzQHD3/ktlNct+z/0I9QvvYaQkJzb5Nz3/yGElNSvXeXm//oTNLcOyJ96CIRAb6yz8ru+iekvfZj5L36QrT/zR1EqUI4TrnzPn+KRv/OfMR2cof7lF7n5Mz/B5b++x7m+4E/8JyP+6B8c8m2/9yZNA0KIY460h0IIX8qJ6v/XeK/5K58+6DNcPyIXktP5mJ23dBj+409x8+/+GNPZNWSvx+h3/SZ6X/kkQgVu/7W/Q/ftb0K85R2Mg2Lvxfcz+eD72f5v/hi3/ue/BcDLP/TXAMH6d/0u5NmU63/7R+l/3TuZ/sIv03vTffS/4z/i4Af/EeW1K+A9B4+d5fT3fQX+/Aqe32D/fiks9jnQRYgpurozuilcJCqXFfhBxBP7ecH+T/w48xc/DVLQf9vbGf3mb8b3PfbaAXv/9Edprt4EIH/kYVb+8HegVI/sQPLyD/xFNh79Ko4+82HK8Q5f91V/tlXrbaPQmBotdz3usqAEaEUIAb0zIe9KZl4weEFx+Is/z86r78eWM9T6gO23fRv9lSfpX615KXyMg3/1PrLtMxx+5kPo1R6bf+TbuPjVmzw+usn/97t/hfUnNrny7A7jy2M6j9/Hyvd8JyIodv7236d3/hEujJ9BKAlK8Z7FT/Cg+4bX/brvbQWPU4FfpxgrhCCXfb5i4zt5+g/8JU696ZvY+9/+MenH53SvaJIDSfXqVbpqg2e+6/s59+g3c/lf/BDZyxP6V6P41+7lD3HhXf8xT/7uPwdKcvvnf4zpg33Mt76Z/Ssf5IU/2GHnG84wCftUzZSN4UP3dClfaPuDz/9e7v9Mn0z2cM+9hKxjF1nNFfMf/2V0b8SZv/bneOgffi9bv//r8UHiKsf1v/ojDL/+GS790H9L/6ufYPHBT51wsYrjz4WiPMror0dYxmTcQVzL2f1nP8Lv/6sPMH7xIh9/93m+/p053Y7kp/+3UxgDIYRe+/GlpqX4oOkk/MDf8tx2CSEERqqg+opdPjD+Kc6mj/DQH/9+Nr7793LwD3+C6souwQmQAdFI/MhSPlngVyyknnR7wcX/4Q8CcPr//r088Gf/CvlXPYVSAXc0w80Kzv6NP8noD/9OxELQf+vbOftnv4+zf/77IDG89394P9cWo6VHpEFCuSLwppUmj/00dt6sCSI62OzQkxzFv9/5Zz+MbiQPfff/g7N/4r9m8dLzjD/yXkRu8bll+I3fwIU/8+e48Mf/FHZyxPj/+AX05M6tffjSR3j0nd/Nu971ZzGTBlE1qMMW2qPUCTH7G8GC0YREE/IEGkv/Sg1NVBWWp9Z56Nv/GGf+xl/g3B/4Kq7/9D/GvLKHntWoJrC4fYVksM59f+b7GXzHN3Hrr/0TOvUhhTM0XvH8T7/G+T/xW3nw730vHs3+D/4LVCEZPPU2Zh/5EHpnDFIylVOqsGBt67HX/bo/L2Lnj8x/oVWQjuZxDNQaSMF2cj+ijONe6TveTPLxf03zymX6Z55gcRgwWY+LG+8k2QkMs8e4na8zvvJJBp3HCEqwef4tdAbbzLclq9/0m7n6t/5HePI/pvuOhzj84X9GPbnN0cOnmHz4RTa3nkSo5crJHtverMv5ozGp7ODnC4SIWkpmKpAo/OEUt3NEtdInffg+jHbMXroM3rP929+CC4LBOx7l6KfOIlsM3THaTBYCJwXT3Qho17cTklSgcsFbbr/IfDZgZaRYGS0bhH/HxEqf9//j13jPdz9NxRGKwKUr7+b66hpns0dYPOexX3WOztNPsnj2EyRnf9PJGKPeM7iuIjQSnKA8yBC21QmzgmbVI3IXHaMQrPyWb47juaUiURrzzFMEFXAjy8rv+Fqu/4V/QGENbskRadBQD1ty8iQ2W70BYQEh+PSzPwQfiq+xv3qB6e5LXPre/56QJGSkDL7uXUzf+z6Gb3snSW8bc+ZUZFVb1Yy+6ms5/Pmfg2/hBP2y/eBX01FD0sWcYBRumGGuH0QHqlQs0S2b7Lq1j734TxDHGW8I+ODorp6le7OhePIZ0r1AsrLAdr+CvPsss6NrDO1ZOrZB5z3W3vw1NFbQ/Yqnqd/9bnbf+xqr33YfPgjWftPjlOsXaCrD8Du+mZt//gfgd/weRuceZ/foR5knB+TATfsy271HCF/81D7e2W/qfzNr+lRM9Z3jev0i1+rnwQduNC9xefZJFj9YxCJ4XbMwc/J1QXNToPtDFtuaqgnIWpN8ZoVmMaZ8oIe/IWBrxORibDKtXxlyxTvUrSO6L27QfeoZ3I99nLOjVd77mQ/z4Lv+ALNhDz58T1fzBTUhAoRA5eZok0MLGtclrL/169l978+y8zf/LshA7+vfxvp3fjX13hy91kdKUMJS1xq9NjyhmgstJk4vBBEsGv+XXkBSw//+g4a/+78UfN9fPuCpRxP+8vet8Y63vjG69kGndN58mr/9Awu+46kET0Fn7wbz3ev8wu4PwCsC/3MQ8HS/8s0ACCK43uuAqKKcNU4g6tiYBHBdh0wdQobI99rvQldBiJhL52r2fvLHKT79GXxZRHhVWSG9XT6OVHBCJuN1IBhwSSCbSIKEZy5+J92Hn6bpSnbFNY5+9Ad46Qf+/MljCQE9HKEXAjudcvsn/znFa6/gm4oQAjLPY+e+iY60o4YkRw2ytJRn+i2PL9GJLpuH9NfYk4/9HlZXLyEbh6gcN1/+Za4VL9D0FUef/ACvPPtL1D+yD07g65qmmRMSBXUg6Q7RNVQmkA9Kqu0e1d4cj8AFiRuu4r3AO4HuroNziP0FncMe26uPc6N8gft5kJvVSzx9/+/Cm9d/4N4zaQleRCYmlYB3LYAtWuFnPFf8Km/tfCvJN3wNN7/WcPV//h+xvUBxytNcDtTFmGoQ0G3YXhVHhEuPMzut8R8XVMWYroF0H8zLO/GUGg5YecHRKZ7mU8/9CPPTaxiv2QxnmIzeGHWeqjIcTa9QhjnD0UX2D64DcSZa64xT7/ptrP3W72BWXGfnb/wd8ktnUMMBzd6UeWEQIjaf7N4Ytb5GOEjJZjnzuo7KK43AHU2AlsknCTz9jOGf/8MVmibwv/7gmO/6T29z+UMXI9h42RYE3W/7Fl74Cz/AR1fP0oQZ5894+k+e4+nz/znJYc3sXMb+k6IVRmwQaQKU+E68yd10EtPfFmsLMSLFCYSMGlcAInUEK5FWcPj+d9Ps7LD95/4Y6w/Azq/MuflX/zqVewNkLiGOt0IcxIC2RtqOxoqjGXrW0PRS9HAFoRUX/7vvh1RBSziiFwK9B1d/4V+AFzzw3X8S2e1yeP3j7P74j8UhhbbypguP6ATKUz28EeiZuxOBKhW/foM4VAG4XMV4QQjodeAQJuKImz/7T3nTk99Ndt8DJNPAB9/3NxDO4zODnHjq+Zi6B/Wphqc3dnnP7pju15wDwAVJvTuNEHQrcTv7oBR53aV7y7J96i186tP/lJHqo2RCb/sB3Ocw5CPCPYT0QohdYAC8Bkzv+tUakW3yMvAY8BxQtT+/2P58767vrwK7wKj9/uOAAx4GUuAFoG5/F4BX7/pfTxBZSw+Bm+3PLoQQNj7nC/o8rIX5/JEQws8LIfba13MOmBHX5yLxGm4AQ6AkrokBHiVe04x4PbeBHeJ63A/cah+XAo8Dn24ffw7YAD7ZPvcKMCau3TpwCvgEkLWPG4UQxl+kJfh32vG6AD9MfN8vtK+zAF5sX9d14npBBL564vWdAXrt3xngEnEC8vn2b58mrtuk/b4P3EfcP8d2tn3Ol4i9gIvEdf1Q+1qeY0k40vb+ufzr/PpJ/u376gHi+3yduEYpcV1mxH3i2ucz7d8m3FmLf9fz/Xr2Jb9/ju0/eJ8SQrinj/aCv/HX/OwPAb/Sfv3fAwftRf5PwC8RHc7x3/0q8L8QHcALwDff9Ty/CPwV4FnizfKTwPqv+V9/pl2I++/1Gr4QH+06FO2bPwbeC/wxQLW//4fAX2q//q/av58D14D/7q7neSvwUeLN8aPA//Frfv997VpeBX5fe+0PEm+an2nf/AnwAeCr73rcDwL7wBFw+ku8Lt941/fniE7yF9vvHwZ+mrjp94F/DTzT/m4d+Ll2TX8V+PPH+6r9/R8lbvQj4HcBXwdc+zX//3S7j2bt/vpP2zXTd+2xP7LMvfM53FdD4P/d7pkx8BHgu9rfPU48HGbt/vneu9fi3/V8b9SPX+fa/xD/AfiUe4pIP18TQvwh4gJ89a/z+1/k3xMtCCH+APCf/HrP8R+6CSHeD/ztEMI/WPZr+bJ92d7otmyf8sYoLH6OJoToAP858P9Z9mv5QpkQ4muFENtCCC2E+IPAU8RI88v2ZfuyfZHt8/Up/8E5UiHEtxDTwdvAP17yy/lC2sPAx4jp6vcC3xlCuPkbPuLL9mX7sn3e9oXwKUtJ7b9sX7Yv25ft/5/sP7iI9Mv2ZfuyfdneaPZlR/pl+7J92b5sn6fdEzpZZ92Q9lb/rZ8fcyEekzIEEYHGQbbs3LMmskMpGWnwWsYbYT1YB8FH8IGSICP91/HfeiPaaY2ArKJyaWTRbokXhGDi9vbCknBwACbphixbiWBiF6hGElVHDkhhQ8tsE7XmpQ2I5i62/9aCFvgWCCxciKqgbfVFBNprjrRjHH/40NKphXbsLxIv+ExTFoc01XxpyPx8JQ3Z1pBmJ0UeLT73UcST9WmB+EpHkg1rI+xEyni9IYDWBCFOpn+ClrislbCoW35PAdX8kLpZ3provBvMcPVE1eBkRe4Oa0SI34s7hOfxQvwJBaNv5YSljJvEe3myvEKGllEskJuGrqppvEJLRyIsibBoAoKAACyCT3+iWdr9o/rdoFdXTojdj+kBj2WJVBnfO5sLfMfTSysS6RAE9F2CbYEIvj/+CNzZPwFxQp8H4BFx0ilEomcckSfZxmEG4QLzo+uva03uyZGmvVUe+7b/Kr48CaoJ2DTyZooQpzVUFT8vTgn6VwJrH9xHHE5wp9dwvYRqxZCMLeawjKqgkzmhiOR/IssInYzm1IByNcEbQd0VND2BLgKD12ryl3YJB0dRLwrAe36u+Ee/Hsj5S2JZvsKb3vVfYCYNtme49ZWGbA9WP1WR3p5hhxmL0xnzLXVyKBxTBDY9aHqBZsVDvyGUCn2k0UVUBlUnHwEzD/SvlOijIpJaL0qoakJZxnHdxEBVIVZX+NWdH17mkqA2Vrj01/8wg7/YRX7gOcKxqoIUn/21c3cOxWP7NSxjQgrkaIg/t42sLWL/CIwBrWhOrzA/k5EeWWwuWaxHbsqmF2nk+tct0gay2wXv+/RywR5muMrFP/JfY7tRfynbj87DJUQC5jKuS90X1KNwR+c+dZjMYhJLaixaeRqrECLQuEg3l5qG1U6BJHBr2kcrx5s3r/NQ9xYvLTZ5tHuT0+aQh8wOQ9mQCTBCMPWBB8/fWtr9ozdGbP/p/wKzr0/E+vIdgWyizlvnVs3RpYz9N3vue+Qm71h/lS0zIZUNayqSmzVBUQdFGRIWPqHyhiYomqBYuITKa2yIPBSNV+yWPQ7KDtMypagMdWHgKEEVgmxPMLjseN8//ZOva03ufV6u3e9Bxjdc1i2x7F17v1oV6AWsPDeJjnLUpxlm2I4iv1Ggbx7ij8YE72N0oXUExgqJUBI1q/FbKYuNOHN/RwZaEBITHUZdnzz2DWEBXKaoB4rmUkG2k2MmFT43VGspXsfNUWwJyi2PXKnRxqKUxwjoaosQgdkiw3YslZORtKPVKpeVwEwkQWV0djSy9uh5hpxXUHdOHJGYCsLB4eekhPjFsKY03L62wqgp2tlui5AiOsnQxM9CcrfYaXDus51oiGxjIQj80Ri5MmT22DrusVGU9L58hN6dMpjXVJsdzMyRaUGxHhnVk5nHJQKbScxYI+rlrklQ0AyiE+3cFKRH4YQxXxdROkMXHtl4bEex2NBUKxqbaYJMsXmgTsB1fByZNR450YS1GnowrTz9tMIHQT+tkcJzzhyQdS0besJARqZ4JaAjFR2RkIlmqWuCF+ixRpWRVjA9iAKBQUAycRSbCYePQu/shIeHO6zqOUM1Z03P6MuSBEcZDGUw1EGx8Clzn+KQNEGBgZnLGNucymv62iPbSLbxkrI2SB1wPYtTikILRHj95D/37H1O5D4EuFRgs8hkEwmYjwlY4dQvHSCnBaHfQRQVZlJRD7v4RIGS0XnamKoHa6NDtBaqGnUwo5sZbJZTjcQd5y2Is8F1EyUBQkAO+nG2Y5nWlipU47nxLZZ33vcqn3zfYwjrqVdz5luKaiSwXSi3LGrYkOU1edJEligRSJRDSY9RnsbFRW6cwlqFbRTNLEE4QbEmSWaSpPFRinetGzV/QkAflVFFYL6Au5VXl2CqhAv/HOQLVyBNcY1tI9HjCBSQAiF0jC6hFT/zBOch+JbwmRMH7F+7Rk9Kxk+t0fQk4syAdHeBvLVP9tp17KMX8esGM4vP77VAukDdFczOZ/C+5ZOW2K7HTCIx82IrbmxVg2yiOGQylWSHjnS/IrtdnByQLlU0A8NiQ9N0Vav7BLYHs1xTiEAxTzhMOggRmFYJL002UCKghePj7iy5qhnoki0z4Vyyz1ektxjKJYvf2Sh0qap4PckkKsmmc49sAvuPK/IHj3hkfYeHOrc4bQ7ZVFNO6ykdEWgCTEPDwkdnOpDliVM9cD3qoOmpkqFacK1epXBRCNEGiZGePK2xTXScIfEEqyLF4eu0zy+Ma/djkJGUw8xC1BvPBE0HVl5wyMNZTNn3G3xdI6czBvt9fD+Pta7ERDLVtrgjet1Y3+tkoARqXtO9oQgyoVqJzrTpKZLVHnq2ICyK6ISr5Uhq/FqTNnDr7Tl/5at/mH8zeRhVBYISzE8b5mfESZqmRjVZ1pC0EWimLbluSLXFtmG9kgolAj7En/kgGMuAO9Ik04BNJbKjTmqmelxFJyQEbq0PK3345JL1yhXk16b4okT2ugij4/t1V1ov0xSxMsSPevhUI1otLnUwi+9vVRHqJkaqEBnMq5ps3+IyST3ULLaH6AcHdK8uEOGOwJtXcS+aRSQF8UrcJfe7HIsKqQGXwOyCx3c8ohGRiCVEBni9kEytRFWG3nVPvlsjS0fQEtuJB4t0AVWB7QiaLqACfqFJdjTJNHKdjntdDnqe13pr+JmJk+QSMJ6kV7M+nPGNp57nN/c//u951V9cE7SaSVWsh/okUg0mr0C1qinPNmylNUNTogiM5OIkis6EQBHwWJAgg8e3kZ4RMZA4ch18iJRbPkTBOx/EyX0lREAbh2skARn15T4H73jPjvSkvuuiOuFxgdalsaaX1tC9VhKm03gTNBahJGG+INQNYpaBVq0TrBFZhkgTQmKwG32qtTQ2W1zU4e7sWryKGvCqDvFmy9KoJmotoarv9VK+cBZgdibhm7/rffRVwbt/+s1sXW2o13Lm21G8zieBkEbtKiU9WnmkCLggqL0CG6n4ct2gZZt6OEUAEhEo04ZZx1NsKuwsNq3MODbxROMQVY1b6+G1xPYM4YXlOlJhQdzYjYKyRYFQiuADQoFIovKbWBnSnF2jHhnqnorZjoBk2kUvHHpaIyuLnJcIH3CrPcpBisslxZqmHgi8jgJoySgluzah5wLeSIQPlBtZ1HWvwEwcPl1yGUgEROZwiUeoqNvlGwWLKESXHAqSaUxrgxQsNiWL9QwRQixRdDlRDYWowGu7HrRHTAz5riDfi6JwwgWCkjR5FvsXJmZ0LtUU24abo5wfPuzziTOnieP8S7KW1eq4zzJ+KBC2SvqXUxabEt2rmFcJr81WmdqU17I1Lmb7nEv2uaj36bRUVz5EkUMjHH0Rna4isPApXjZMXc6R7XBQd1jYhMa30szEWE4Zj3VR5158DhWge99RbTQqfUDNoO7F0zQ/8GR7Dcm4Rl3dwRVlpMOCO5IG3hOmU8hz0PoknQ/WxmiiyJFNgstE5FRcBLJbC5Ijg+3q2AFvJRKElASpEGK5KSzEtH7nHY6feukJ/vUvfyVbL8d1mF7IafrHfxRABZTyaBVlmjNtUdKT64aeqU5OSoBMNXgtOSg7lDa+XWJQU61myEZgM0GxlSICmFSSjA3C+tjAUcQIZIlmxjVezeIhGkIsNUiB0DpmH9YSujkuU4T2Nbsk7qViVSFGClNovBKoZoAzgronCLp1CFlsQCZj0KUn2S8IV29CXaOEQGQp3f01RN0Qeh18JzlxQEszBTJxxwAXXKXQu4beVUFnx9O9tkDNolJEkJLQ0uf5XHP4cAeXCZSLTtF2A7bnEcMakziaqaZahbovyQ4CnZ2AmTvyHU/TV9Q9SbUiKTcC9YYlGVYMewXjern8tVG7Kqb1dV/gRg36RkZQgfm5gJBRj/7WpM/erMsn3SmMcqz35jw+usmbu69xxhyeRKkJMUDxQWCEZVuPKUMsHWnhyFWDD4JJlVFajfcSrT3eR3pG2YgTwMTrsc/vaG4hCk0n3gD5bUfvhUPE4YRQ1YTgkWnLYOtcTOuORbakQqQJfm2AKBvEbEFoUzi1e0Q+L/H9jGaUISsbmyapJtktTiKveFNKRCKXTdULRL0ZWUqy9/QYvVijak9oyWFlw0k3EsA5SbiL71CKQKYactXggmDmUzLV0NENNkg6pkbJuDlEH2YCipAhnMTMQuz0Bk0yrmP9GTAz+1n/Yxnmc4NoBL5ukHl2wsou8gyRZ2AdQQhUEdVgdYtiCDJGY0HGGmcQYDNB04noDZvHG08XUZEzPXTxjDqY4VtoXAiOMLOE8QTZ6SDmC5QxEXq3VLsDyvFWog4Mg1egf61B2BBF8A6msSR2bpub7xrSv+bo3Cjp3bSoRtF0BC6NeEPbh7xbM+oUXB+neCORQVCNBMlEkB56VGmRtUOVGuk0tiOpnKCT1Ty0sst6OuMXl7giIoCZxsx2el8gG1S4HUM1EHA2onmkDNS1Zl5pQqkQjWQchrzc3+D9mxd428YVvqr/Eh1ZodQ0SjwLz0hWOGqmPuFIdNhMpkgRYVOLJMF6iXUSKT2gEHWraPw59N8+/xxHxE2fHQayvRq70kFbh2hhKcfNDhFCjDiPo9IsxXdzirM9mq4i361JduaI8QysRRQValEixwliXkSH6frx+XYP8IsFIklitJumsbO7ZLN5TAeafnRiwnlsx+BSgarB2QhVA3BW0miFVh4fBMdHQeNVxLUFSaYbjHTgIVOWEASl0PggUMrTrFiKoHFHgvQwav3YrkEtGpCCuqdp+kt2pIkAJxF3aQOJLEXkOSFNwHiCUSfOX1WR3dilAi8CzggsAtUEVB1hdsdeyGtouhFr7LUgO3TYrSG6bvCHR4S6jrXYEOJ+sRZ54Wwk81uiHSdo3okIc5tJkqmn6Uhuf6Xg4k955GofxIDidJdiMzC9HzafzdFlXBOvxUkUF3Sgn5ec7o25UWySHkQUTToOZAcO2XjMlT1CUZAkCeFN5xi9FBi8Kth90woH75jwjaufWu6aeDDzWLpwqw2rnZLd1Yy511zc2mdv1qVximJqkEcmEjQLogJolXDLrfCrVlF5zVO9ayRtXi7xKDU/SfGNcPRUycIlzIlBnhRRZcE5iXcKWcaI1HwOzevPG/4E0L3tCFJQriexdhqIOD/rEdbjE43wHlxsAIiiJiQG30touoqdtwgIKSufSelf7ZHenEaZZevgaIIvyngT7h+0EahBdtqWmpKRoX+5csxAPFBGnxb0r9XI2uEThU+i/rYqQOYiAqudwDYKpT1OW1wQeATWK+q78omjKqdUhp6pyHRD7WPzKdEWkQeS1FL2DPNRgleafI/4/6xCuMDknEZ8YIkLAggb7ji0trHE6gifJwRzJ2V1mcIbcTLA4XWMRL1pU9ggULXAduLPgozaR04HmiEUm5Df0pjNLv1hQv5qjjg4ivA6FDLP8I/fz+RcB35huWsCMaUPLsLaXBaYnZHoORA88+2EfulACpJxgzca4USM0EWUbEbEXoFPBKSOXlJzoXPAB3JH05eYScQpz09purfAZAnCaGaPb3HtGyRnHr/N4idPsfkhx6dXzyJPPbvU9RAezMJjM0XarVnvzNmVI+pTDamybPWnXN5fRUw1QYVYw/Tgei42WxeK8aTLK511aq+ZdTOmLmNVz5Hi7uaTY+YyFj45EUF0LUjfe4krFKZq+zxHrz84+zyaTfFklMSpo2JNnkCfmm4e8XBVwIxrmmGCbDxeC5qeIt+rCUIQlEBVHlUptr/yJuItgat7I/Sn1um/FiOQwStz5JXbhEVBqGvUoE8Y9mMpwNrY0W0scmV0r5fyBTNVwfrHZ8hZSb3dRx9VaCkIsq1t2pguuEbGVFUrGqMwymO9pHQaj0ALR9bWS1Np6Zvys6JWLROmVYIFksTiVx1l1aXYlYgAyX5BvZYzfLVZfj0QkP0+7ugofpOmNFsDgo6d5yDi/gkSbC5PIk5noqM8nvLyCdhu1DryGmwnNu4QEJJAMB47kMhCML5kMG/bonNrk+ErNXpWI2YVi7Mdmq7EL1vC/Xj6SHlCJrA6MM8UeiFIDiXT89D0Osg6Xre0kOzJqG/fV0gbp9vqvqBac2S9mq18yiP5Tc6c3+dGtYEqFC6NB5NPBH7UjTDBxhNSwVdvvsw/efsK092E7uaMJiy3ASd8HE6pR4LHtm8xTEqenyu6F8ec70Yl0IOiQzUynN484tZzm5ixxFqBXYlTbm5iuJkPkAQarzioOmjp2V10Gc9z6sqgdGz0JjoONah2mKFqNE2tEfM4BKPLOPzyeu2eVu+4m3jcuS+HkqYb01dvo4MtVjWqDuQdyXxTkh/EDvzRJUW5kpFOIuhYOOhdhWudbZ5426t80+PvY/ZIyrtvXWLvqMfRc31O/4ohfW0PnI8Y04MxbjKJGNKmITgfMZNLNuFherGDWWTkV6NaQrVmkE0AYvFaWoFv4iHivcBaRaMcWt7pHibG0lU16+mMg7rLtcWIRDoWNmFWpxSNQQrQyhGATtIwPeuZVAPMXCBnFTrVHD7SwX9qudVjNa9hKBDagHO4B06h5g2yigWoYBTF6R5NT2EzEZ1cO2rs0hh9EjjRM/Ia6pHHdx0kHiEDaachS2JtmfbhdaPZP52j6oTeddA3D1HlELryc2oifDHspPeqAkJZghN4HWL9dxXwgvn9ccRTlhJZCppBIEiBLtpIPYFqNSBWajYGM1aTOSO14Dedep7/360VqhWJ7UYp8GJDs/fEAJcGfApiUPJTlx/nax96ke/8qg9w5Lps66NlLknMTLRgfsbz1tEVPjo5S1ipeWhtl7f3XyETDRfzfZ4fbbFb9nB9h2gEduDorc8piwQ7NVgrWcvm+CA4KDrMypTFNIWJQRUSH6BIA/OexXQbVNtgEiLgaomZxxr95wJ9gnt0pOKuf9S0GLYgIw5Ml7GONbsYcB3Pyick5Vp0IoPLDlUoyvX4YudbmnQcMLPAynOCl289wKtfvcofvvReft+FZ3llc4OfVo+zf9Bnaz5E3TpsF93F+qiS+NITnDsZL122CU/cFJ0EffMQ2fRboDx8VkfMC3wjcUbGGWkizOm401g4w0cPzvLq7iq21qR5Q57WlLWhrjVJYpGtgqYQEQXgck+1omg2eiAEugzIarkhqe2niOEAJjPk2ireeuSVm4Q6OlIhBN3pKnZzQNMzVCuaphOzG+EgpHFN1SK0ZSOBTwSNUtBIggo0xrPWn3NxcECuGnJVc20x4lNhm6bTI701AyloupL+1Qo9fQNA5VrT2iEMOO1xVhK8IBzP1TvwaQv8rKM4oE/EiXyz7fkTGJ0UgUzWvL37Mh+57xyfFKcJuwnHwzm2GwgrNZ1+xanhhEeHt/gto4/zWLJPE/aoTyZslmPCx4GJzoNHDPWCvq546NxtHunfZkNPyETDvukxy1P6piR9yHJ9PGSYx2xt38d9/tTpGzw9uMZ7D+5nPM8pDzNEKUGBHbRlACdOhBM7WUXVGKrSQC1RZVs6UlD3vsgqokHcmWxqulCtBMy0haFMPU2u6D18yDeee55/vvhK9AKKTUE6VphZoFoVlBuxE7s4A2Ys6dwODC47ysmIv/et7+T3X3qWFbPg3NoRl8/1KC9ndHcEoawIdR2jUSkimB/uQKuWaF5BNZTIFv8a0iQ6A8kJDOmYqEI0goCikYF5aJ2o9GTGcrDIOdgdkF4z6FrgR54qN5RpiigVOEGRejAe063JTGxEhcwzPy0x0xyz8DS5OFGSXJbZocet9QmvOcKpdaAdupjNT0D2YXcfNZ6gjSHdWqU81aMeqJY4Iqa22aGPRC83Y0MqSAEhUA814/s6XL/fwAXY7k7Y6k/Yzqc8rzYp1wQ+08idkv5rC+ThLBLkLNuCQMiIIVXKkxiLdZKm1ie1u+AFwUp8cgeWAyBsBO+HzKN1vBYjHCO5YCQrvmn902Sq4VP9beaHOTTtwUQkO0mVJZWWMhiaAB0BHbHcZq1wnmpF8Nbta6ypGV87+gyv5pusmykbakpXWEhv0ATFUXOGM50jznSOuF0M2C26aOW5cGqH797+FT5TneLWvE85SUEFGDUEG+vRCCB34AT1LCHkFaNOwb6TuDpFNtBkAdkIPocJ0c+vax9UbAS4vsdMFaoOcZO3EKdL+W3M/VPc833sMFCsS1QRcHnA5ZDfEjAWLM5ZqlVF93ocj3MfHfLzw0f4ju2Pc2mwy9UHRhze6pPdHiLLKtZFi9jJxxhkIk6mXpZqLUTHGREhKCoCwu+GPQkfnShAUDF9815SV/HzzArkTsr6pyE/cEzOawgScw30QpLMAuVqnG6Z3WdJVyMGNQSBSBwuU1QjST1QzM5/btMZXwzTylNs5XQSA95Tj3LSsouUEtEygYm2NOOnM4S15EWNOj3EdhXSKYQDM3MRnD8ukLtH8ckTgzmzSt3r4BPDdbHGwWpsQm5nUzppw7jfgq3LErVzFMtDb4DGJESGJikDRjm08uRJwKVNS2omqK2OneQ22pIy0DQKNzWRn8DE9z3XDVLEjvSW8rw5f5Wpy7jQOeDTq9tcPRrhvCQ1DeudBQNTYtqudhkUqXAsuWzcsnXB146eZ1uPmYeEV6tNLia7bMiKLZWQiTFZ3pCJhmv1KjOX0jMVibLovue7Nt/P/eaAnxk/yeE07oOVjSlKBsbTHJNYqlcGAPiOJySeo4Mean1KljRUbQmJdihAfQ6Jy+c1ay98+497Dc1A0vQEpdVUq4JEBNbUjG+48CI/9+Kb0TNBsRnIdwTZLhSbgWol0LklsIeKwdP7rL55waRO2UxLHhneZuET7st3edcFxce6p3l1fZ3tZzv0Pn4Tf3AUgfxSRIyqWvKsMES0gou1rGDkSZTsUnAZJyDyO2snCLXEBQjG4yeG7JameyPQvW0JQtC57ZFttzqolkawDpRnobs159LaLrXXFLWJGu+5p+lHHFzsbi53SaxVTM5reisjqrVOrHVmmhAyXD+lHqUI68muKERVRf6E6Rw9yynXulTD2IyymaF7C/QhhEEPu9al2MqwecxshAU11hQy4wW9wWKYsJov2Fsb4jODbqkWqwe3cPNsuYsCHBdqhQho5Una4QxlmthBDoLG3EknnJeUjaau4iYKKmJRmzreworYmc6EYlWWPJjd4lq9hhk6zncP2au6LGzCajpnI5nRUxUTl1FqxRCHWfLhEpREVVB6wzwk7NseW2ZMX5Z4oMGRCthQBc9kV7iY7DH3KTeyFV4r1ziXHfBMusOuSxg3eSyPyEBZG7pZzcbKlDO9MR95aYCZCjhSVGsCNiyupdKL69q+IH+Hhev12D3XSI/Trmw/UB4kkX9UQtMVCAtFlbChJ3zz6BP8y7OPkb6QR5jH+UC2FyeW6tMN9aZAWMlWb8rvPvUsRlimLufAdSMNlk/IVc2bNq5x+Z0Lnt84wwW/TecFg6gbkJKgWuq4g3u5mi+sBdHCdXKNyuJEjktaikF3DPKNjbpQCXzWfjQSPVWkh3E6TM8delqRZobDRzvUA0/3uuTokmJxseH++2+zls2RIpxMpUgV8DpQDwOqBDOL+MtlmmgE2ZEHpWi6Gr1wyGmJmMxQtkfaOGRpYTwlOB9LNUrhcsP0rGJxpuXa1ILe9YA8ik08e2HE+H5F07tzMKkKwkQzS3Kq3pxTnQm7WxPK9SE9KaCxzE8nNC8vdUk+yxIdb2QnRSyhe4lRDiMCJgicl1gvCSJgrYopKiByGzlHAS09RjomPuPIF4BkW4+BSC3nkNyX7+KDpKdKMtGQyYa+LNoZdTBiuaWxoCR6EXi53KQjK351com3919FEVnRjk0RWFUlfVlzy/V4qdpCisD9yQ4dITjyObtlL/5t4rFWUtQG6yRXwwi7YpFW0/RikBG8QLeomZB6bC7Ax2g0PXr9dbF7rpFKGz22qmHlU7F51Ltu8akgCMVsP2ckS86pGd/+2Cf48fmbEVYgVytmgwRE4NH7b3Aqn1B5zSO9WxzYHi8Wmxw1OavJgnUzwwjHQJdMbMZmPuXo/AH7j25iJkPMzpSQJ4h5GUH7SzZBXBfZtB3mVEc40jSQjuOmd4nAZcQoqxPB+9bLmE60hLaq9CQ3J7Czj1xfoR5kdO8fM+30wXjyYSywz5o0EjBYjXUSW8WpDGQsnXRuyqWPiALkOw0YHXGfmSRkBm4XhNkc4T3eWkQ7zonWoCTFZsL8nEeeKXBOUpBRXdXkbWMxuzomOb/OYhs4XZ6A2/ECYxx9U3EqG3M0yDnIVxBZRnNhg2zfopfMEiZEwBiH1o5u0lC7GAb1TI1RDh/ECc+CD4JZneJCxB4jAyQeqQO+kWS9glGyoCNrfMsM3ZWeRahZUzN8Iim9YeFShnrBObPPSEWES9KOhzQBqiUPtAgf6Ox43r97kQfO7VA4w57tc2Q6dF1DExrmQdMESSYcRnhckKSy4VQyZlNNKUPgY8UF9osOiIDSjjRtGOUlvaRilBQ88MQ+12Yj9ucdZvsdpIqsa0rEdUXEUpJegFp8sR2pjDg/swhIohPt3nLYjuTgUUX3RiDZU9ywQ96RHfFNw0+y91SP53a3OTMcw+noPB7s77JiFrx//yJ//2NfQ+8Vje1CteIJfUvWr3h4c4fTnXi6GuHZ7M745MU1ylcS1CwFLZHO4w+O7uVSvrAWYlSUTGN3sB4mBBUnbszcIkuHtB6vJa6jKdcMiw1JsSmoNiw+g6rSzLc0Llujs9LBZZruNYnfWaHfRMhLlTianjq52WqnYopXKXDttIeA5CgsHUcaBOiFBSEIQlD3JZzt0SnWEQdHMZU3GpFl+M2VWF/XMnLQbpWc2zhkUmbsO8HsTMaw340O+OYOm7/k6N1YY++pnGLLEwaW0daUS2u7PNTbOXFCydgRhn1crllsGaRb/kBxXWmcE/hcUNQmdp/bN2s1XWCDZGETDsucstEoGZDKQ6URhcKJAFaSJw2pjA5x3/V4xVa8NanJRMOtasAtO6TymqEuGNsOV8Uaa2rGSFZ0hCOL4ADqZYtgSoEqPTv/5hQ//62PsrPon/zqKOnexeLUpQmKNTVDCs+GntKVFVuq4BXb4xOzM8yrBIJAacdGb06uG7ayKbmKSBEzcPSSisO8pLaaRW0oFinqsC2T1IL0MDaMX6/dW2rv2/Q1jRAbr2Ntof/8mN4rimAk3vT4Rzvv4MXhq4xdztODq3R1xel0TOU1UgTev3+RVz5+hrWPCs5OPeOLUK07emcnbPTmnOkeYYRnpBeRnBVYS+fotZJipUMyznCZJG8cYjqHyb1czRfWvOZEFsXryM4EsNhKyHcbKCxqVqH3piS3E8z5PvXQYFZL+t2SAzGkWpWE3NN9uUf/imflBUs9kBw9KGnOVZzfOmSzM0ULz0HVwboIocKDrOSdWfWldxDiLLxaNASjkU3A5oLFuqbpbpDtjVClxacKm6tYN7aepq8pNwS9fnlSvrAjyfi+hMO3bDD6VALzktDNIICZQrEFplvzwOoeTw2u05E1e02PKzfWeOTyGJxjciHh8PFA+Mnlni5CQJbXrURIjDqNcjQujgf3TEXtFLVTrWqKuKPQMtWEPDLlOydZze/gpw9sDxcEXXGD+7VgQ03ZVQO8kSdM8QBTn5MJSyYcSggM0CzbkYbI8rbxMcuHtx5Ab5QxCveK6+mInqpwSG6WA47qDm8aXeXt3ZeBiktmn64UvFasc1h1aBqNVJFjdCufsposmLuEkVlghCN3KYm0rKZzbi8GHBQd5k4gnbgTDM09Ifkiw58gsu4cN7Ui/ZUg5Aa1P8Xv7jMcPcz7Xr2P9199FFUJqu2GjbNHXDh3QMdUVN7w0gun2PhYO8mSCLo3PclUUl1Z4bXtIdOHUx4c7QEw1MUJYL3fK6hWuvAqjO8zQJfOrICde72aL5C1JY+gBMIFZBPrMLYTx0SbnsKbForSSVDjgvz6jPz0CJla3rp1lY9rx6xMyZOGyTDj1oMR8hQ6lv7qnAuDCac6E9aTGZXXLGwSmxONRFZRIyqOT4aT/7VsK7e7ZDc8PmkPXiWoBoK6l+DSBJcIzDzQ2XMQFItNSbnteHDlkAudA07nY17Ta7x4VnHra7scPbxCthsnnepBZD/yw4Zu1pBIhxEOKTz7TZfOp1PE+Cbu9BrjB6F7TUb2sCWaIJAlDbbFDedJg/MSJSPvwqSOzbBMWSqlUVJTWUW9SMhOzU8aVHWjKa3hdtnHB8HILEjlkLHr4jovcUk3dMVlfmr6FAe2i/WSQ9ulNIYyaMrgkN7Rl4JsyTVSfCRrcakg3VOUPcNRkuO8ZD/tRpA9kRXteHLJBckjyS4XdMJlW7NnB8xtQghgjGOQVfRNycjEw2a37vFgZ4e+KjmVjBm7nIVNKKyJUDMZkFYi6wixa7qv3z3ec7Mp34vyDdVIIlzATC1yVkYNoTQh/8Q1ws5F0rHgzL9ZIGvH+NIa//t3PcNffuyfc8sOeeihG7xgtln5oKGz6zDjhqZvyPcla895roU1/Ffu01MVQ71AEpjajHODMR97cMTWh0JkAXK8ISAtwkE6dXeE/VwbnQL5To0eV8hZweLBNW6/zdC/0mX0/ILsyLNwknPZIcXI8NpkDYAHz1yjf7HEB4kUntprXBD0dYSvTHxGYQ1FZQilQlURX+jTKF2BiGQxS7UVy+7ThnM34rdexdHG45KD7URScF0EXCJpOoJiXSBXKs53DrmU38YHwV7ViyN921PKkWH6kMRVEZQvO5Y8a1jrLlht64ULn/DcwSlWXnDYc+vcfnuPwauByf2BZn25axKIzdgQBIchJwRB1WiU9CgZKBpDbhomLqNoNFVjKOZJq3UosFZSlRGlcnvc58DkHGQdRllBIi2TPKcMmqvJLs+kN+ipknfvPoSWnjOdI1yQPN25gmKMkw0qWIbLxmELgaw9ydiSTBV14qgqg3PxgKm9IlWWzTbC/PDhOaQInNeHXLY1Rz7hZj1kWqVo7dHSUzvFueyQjqzbGfuUmcs4kxzSlRVNUCTymCw8nNyzehFwqWR8n4Kffn0v/94i0mMuUgvp2LfhsIfGEooyUuVlKRd/qqFcMxxdyunebHBGMPvkKuWjhpFa8La1y0zqlMMbmyxOa4Q1ZPswfsgTjODBh6/zlaNX2NZj6qBolCKXdWRFGpUstjoIB6p8Y5CWCN9Cn1o/YbPYsRcBmr4muTkh3LiNf3ydctuSTDXVWorNBOUi4bDpsJHM8P24qX0QvDDepGgMq/kicpMGSekM1kv2ih77sw7VJEXNJdIRmb2T0Eaky10PAKMc6h2H3ChXWXmhwfcV6TgewrGxFmvtqgmUK5JyVVBuOy5sHPLW/qu8LbvMvs95Odvk2cV5XKPIuzWJrnCduE5aORLt6CcVldfs2R4Ll3Bzb8hWKnjxP9NIs8CVmv/yK36eP/v3l4sJO2YbAuJEjQgkLXovhEhK07SpvXUqYkkbhVARmO+9xM11ZMRvJE1yp4az3Y2CcDv1gExY+rJgpBaEILgxGTBvEvxAcjY5YCQXmOCiTIdf7poI6xCNQ4mWclLEdTLmzuvKlCWVjjPpITeSIe/du49TyRF9WdAEzYvTTYra0ElrqkYzK1M+fHSOr1h5jbPJQRTB8+kJYUnpDR5B42VLtBQZtWwu2HtKUW5/kZtNoh3f8xqcEfRuWFTRIMoaP21bonWDGfe5+o0JLg3Ug4TpfZ5gAreaIafNIetmyts2rvDsWwU7ewNCoWgetlzYPOCh4Q6/afQpEuHIRMPcp4zb4u+siafO+H55UlYQ9ZLFu6CVtRAk00jYEqSgMZE7s+4pCKtkKx30wnP63YpkUlOtaKqBJNSSmUs5l8Ux2IOmy2cON7n98jp6JtnZrhmtzlDtWGhjFdN5hpsZ1FShCnFSuz6W9XUpSz9giiIlNZbdJxpGr0Thv2P8sUsFpogp3WI9UufZbiB0HWe6Yx5LrzP1CQuf8kz3Cj+lnsDeTikA2fd005pMW/pJFYlelKXyit26T+MVg37B7d8Kb714hQ88dz+j7SmvFBv0zXJlaaIjhaZWLRkNNI0iaFDKs6iSk9Hf43IWThC8JCSC5LkOZ989ByG49nUdigdqbNKyiAXBT774BHY/Z+X8Ib/jwsdZ0XMu9vcZVxn78w5SrLGazCMRcmi47noMxJKleuom8jKQYGax4348Ag0xEi9dnPraa1nSd2ddfuTqW1nNYnPuytGIxSKlkDGC6HdL9ooev+Qu8Y0bn+G0OUSKQOUNB7bHftM9kWf2lSKdCaSDxamAuDhH2i+y+J3wAVO0IwBJZHCS40WUEWknjMIiapiPntrDecFBb8hoa8qpwYRMNngkI7Xg4c4tBqdLrq+O2C179EzFhc4BD2W3yERDIhyyxfCUQTOxOUdljnOS+rzFHKiYvr4RpEba1EBVkQOTdr6+6UXc7GJDUY06dHYs/dcWlJsZ860IfcILaq+RBBySaZNipEctJP1XoZilHJ3ShNQhdCA4gZhpdHksGCbwJpyQbePu0M0t09QCps9ukKqA8BYzb8c7e7FunEwi2iMoEdUzF4KqluSqYeFTrtsVNtSES8ktANIDSR1SZl4QBgKZB6yXZCbSrQHMbIL1iq3+FCECz+9tsn5mzJn+mJemGxzMu8tcEiASe5/M1stwIprqvcRJ/1l/550EFdC7hnBg8AlM7s/J9h3pGNwNg+9VDJIKG1RsPPajLPOKngOwkcx4cLTHJ3ZOcbjIuZyvspP36ScFR65DopasrApwYwc9GiBtF2McQkTl2PEixyjHRKRo6Rk3GQubYJTjYN6JWVllcPOoSeVTT9qtyY1llBVUVvPhyXkWvRj2uyBZ+IS5TRlXOfMqQU400kHdD9itmgurEzLd8NrrfP335Ei9FpRDFTGSc0+yN0dM5wRA5llUf4yvmK/ceo3vXP0A7714iYVPOGWOWFUzymAwwrGmZmx0JjzVucLURWB5V1aMVBS3OpZYnfuEse2wX3U4mHVwVpGuFtRZQtPVJM3yI1JZB9KjSKTrUvlZ01/HPJs2E8y3DZPzhsWWwPYD+U2BXCimTUoTFB1Zs5bOeaC3xz87O6TajyWMdFcBCq/jOJ1oogMVDpDtMIBqM4YmZgzLZoPXC8/wZU+xIVGlR9rIOamqgHYeVcePzo0SpGB6IaNclzx78zzvuXaRqkzYWhtzrn9EuZ+ThcjNUCvDQt5RXr1beydSEhq09Ew/tcrGRwOTi5KXWMdMwIyXPMWDiNCnWp0gLBCB4Ikctcg7kzbtYSyNww4l2U0NAQ4eE3ijcT0LOtBPLJ7IePTWC1e4v7PHU52r9FXB1OU0RlGkhoNhh5dubfCiWOdKf53z5iAGK0uetQcgeMJ0hpnHSNQoR57E+7qoDYe3BkxnOYP+gm7ScG4wpqNrXp2sUmpHoV08dEQgT2tSbalaeZ69sstH3Vn6pkILz9SmHFU5u/Mus/0O2VjiUmiGnrxfcbDI6WdfbNKSls5MtLOpwoWoxyNFRPe2JoqauU25qGccZdcBGKlFJFn10ARNHRSZ8HRlFVmshY+TF632ikMw9TlTn3O7GrCz6GOtPAn9ZeJwqX5jiN/R1oqPP7dohGTSOjUd09nZ+UA9ilhZSkXnuiY5kDy/t8msSZnVKam2+CBwk4TF4yWj0ZzD3T7JTUN+W9D0OKmB+oQTbk6gpZ2Lkc6yuTdFCGT7LnJnrmjyWxWyCajaRlhOT2GmDn0wR4ynDBfrVIMB/soKvcNAx8DhqZyd/hb5LGo1ISKxr68UhTFMVMogqyitwQZJ0wLcD4oO6ZFAWs/6J5pYaunKNwQszFkVSTRUgCbyBnof68bBC0IjIwm4bJsgyiNyS3kKZCFjUzH38fEyUBYJO/QY5iXryZxH8hts6AmKAApuNCscNR1W0wXOSg6uj7i6tULdUYzkIpKCLNGElGASRBqjRu8FSepIlOOh4Q7jJuc5p9geTHn4/2zvzH4kO88y/vu2s9XS1dt0z2aPx3G8JCGxY8VKyCYRiUgIIUCKAHGDkIiEUC4Q/Am55zIX3HEBEhISSBFJCNmEIpI4JokJtmfGjmc8np6Z7q6u6trO8i1cfKdrEoHAHttqR6pHGvXMRU9VnTr11vu977P07/LCeIdhWVB0ax7qDzksOxwnKdMyXf6fkyrFKLdkRIzKnNzEUMl5Y5hXCeNxgdk3EKLHbeg6lPIUSUNt3+GtfdSUtxpyE4nWwodojdbGARMCYjzhB7cvIs/BGRWlfUY49n0vdpretPw2TekNfVUi8dRB4RC4IBm5gqHrcmQ77C36jBcZUgbSxLIoDd7G2Zrsdk6dRxoUBC2QTVzAneh1VROtBV0S0y4JgpCEuCm0UeGUTKD+0YCXHixQh4a1a3FMkO8INj5xwPs29riz1ufWbp+DVzeQC4GqxDIVUtXxpxDR8xQPqhLLeenpXROx/MJtCknhAmZc4lONSyR64ZHOE1IdY5a9Z3CtRrrA6OGUphdZCMjWCk6ytNhDRdMP72XUojsdN+BOkyrLwX6P7b2AquIW1pk4wz5thBCLZcwgDrFgtveC9zoWz6ZVpRlAe4IX8X7RHn+SU6cCInEo40mzhtRYNrI5fb2IhsVB44gKIIdgYlNqp9ncmLI/W8d6hUfSkzWnnnomJaIT42dU7Zfb+hAEA7NgO5nSOVvjEXy0f42P969wq1nnR5MLjOoCT5TTShGWv1c2mqadc2rlKRvNaJpjjKOqdIwV2U8wk5hS4LNAd33OerHgTDFh2qT/z5O+h/srpDLO/WwWyavyxK3+BCHEbPrRmOa5hxl+SC+1sRkNDtFuz1Imre3/mp4z8Tk9uaAja8p2qzbxOUe2w83FOsdV5NfladMO4yHMdbRuPLcJt+7r1bx9EDFLB3/i3Btz7kUZ0DOo1xQubbeDtSCgEV7g8uhZkN8N9K4bin2LrDy3n0npfPSA3DQ8e+cik1lGszDkOzPKaYorY1SHLOO5Xrr40GYiljLe00Zov1Sj30BYcmz1aIE6rkBLRG0JUuJ21ynPFDTdyEBougKXxO5a2BD9HBS4ro9ynBC7uMYpFo0h1TYe661mOM/Jr6VkIwshjhjSKlLT5Cn7D4RWDYgMqMTjBQQXj/KiEsj2jysCPrX39oVtwRXagQhI42MarXZ4HwvHzCYc25yh7ZKJBiMsc59y0PR46eAMs3mKMY5sM/KyM9FQCEdz2hI4KQlFhuumMQVAtrJNoJA1haogg71yjb+6+mt004o/e/CbXNg85LHkDs9X5/nG0ePcKXvsTXqMjwuUdigV6OYVSnqsVdhGx9MA4Gaa/CimVXgNyfkZD20MqaymdIZCv/FT7n1r7W0RJYj9VyvCoozBdkpGKWAIMXI5BC5+fcaXfvPT/MnWt3m13qYj43bwZr3BxGUoPPt1j/26y7l0zFgU9FS5vAHmPuGw7nJU51H1kVUoERcMM0DNJKqJpgenjpPP58/NJYWLig1ZOVwmET4uh8xELrtJbwJNR7DxX3P03WNuf2aX6adndIsphz9bZ3qwRXmxxuwbNl+ByaUE1nz8IM5l9E7UgAVzHB/bzCAZh9PuMwgKVO1JjgNNN7bMomoQ8xKmM5AKrEVmKUhJqiSLrS4uAVWGJesgGQn0PCqjZhdkzOrx8YjstY8bbu5xMA9/ss3FH9TgAz6RmOM6nhTaHLHThPMi5jV5gZQeL8XyBJPdVvRf9QgfqPqCxW5CtekIaTzGR77jvSJ6Yux8gsYpRk3OXr2GQ1B5w2vlBt+88R54dg25FigHjsvvuc3jnT0u6mOMAH/KfOPyjOaFLwzIt+asd+/SsXo5885kswyuG5g5v3r2Fb76yuP8xdXfY+PiiD99z3fY1FN+Z+tZMtHwj0dP8e/yEsNRl24xR0nPvDZ4L9hanzCaxpY+jPMYSpnG05ttFIm07NcdlAiMF2/cJey+lU2yjvlMso5u9ScJkVgbQ+6sRSiFev4V/uVfn+TDv/UqZTAc1D3GNufK9Az/uXcWaxVPnL/NJzavYoTjbt1n6tKWpqA5thlHdbHc0nWVpfGKlHhUPLYd0lFz6vEREYGfn9nLJiBszMlRlSMdNXiTtPndrXmJbiW3adzE1r9ScPQhh/lZB3Wlw6aAg2caHn/4FleKM8ynBZ2bgXKhoq1eHccsyyVTmyyZHXqCagvsaUIIktsTsr5m/+OBIHPOf7lNOpCKUEYRB0rC9gYiwNrLc1ymqQcamwnM3JPdqZClxfUT7oqcyUOSkERj5CxpUNKzsAbnJYvGsPl8IDmqWOzkSBuQlQUPwrlTv1eCF2AFopY0pUacjGQWsRmYnpdt1lK0B8z3FEGo1vQl8oR9GnCJx+YWqSJdyLu4pCqt5qDscLEzwsi4iPvg7i2ee1Lib3RABnbyCR8rrlIIKAOn7pC/1Zvwxx/7Dl1VcmW+y48PzwGgpKeQNa7tmCtvGDU5T567ydV8m8Nhly9+7zcIlUR2LNsbE6ZlSqItG4Mp1kmqJo58OnnFeJYjBJTHKdm0bXh8/AyZFwp+WF6K/55okqN3WiIqoB7EjXDnlsY0TTTMVUsOx/JncI6L32j40vs/yecu/ZAXZ7sAvD5dI00sn7p0jSe7Nzhnjpj7dPkNWrWOxDMbc6czZemaCi09ksDF4oizyYi/U09T/scWsn4XbB1beBVnxtIGpPMQAj5RS+VGkBp5slVXUf1UDWCxJUmPAhe+Kqh7cHxZIN5/zOXBMVeee4DtZ0E1jtmuIh2CamI+VlCg/T19vZ7HpMngA2ZyulVDlY755QE3f9fy+x94lr9VH+HMs2vowyl0cuRwHL9085xqt8fxAykiQLUmqNaj1FXPNeacJht5zMwvZ6RBgFSeRZVQNRopA5udOTf2Nnjk5UgvEz4gax8NKLx/U0YU7yiciAbfE03I4mIyUuUCwcRCGXQA4xHaEyqFKGWMyWi7V7zAzwwesMajMkdmLOe6Y54e3OCDxXUMjonPuVbt8NJwm+FaRrEx5yODn7GhSuYhmjvPTjv8rj1RNEHRURVGRms7o9ySedBTJVOVclB3mDYpF/tHPLK+jw2Sa8MtZouU8SwnSxrW8pJUWaZ1SmV1HP9UCd5HJoQc6xguqFqf4HZslN407SgJ3gyR4f6O9grKHYusNXrxi6qi4Py97hTAB7LvX2X05Se49kdnOJuOeSy/xZl0wvX5BpfzAy4mhwDUQWGEo/Kaw6qg0A0eERUNyi7dW7RwPJAe8r70dfwDkr9++LMUd+7nlby9iLlMAZTAq9ZmO8SbRDQ+fvCbgJl5hI9plsJDuQ7JsWD9Sk3QgsMnDNP3NphuTXOYc/u5Ppe+W5LcnbK42CdNBS5taU/t/BHaDriG9Dg+hp45ZH26/MC6rzj+/DGP9SZcm22TvZqgD4/wawWicYg8g+kcvMcclfSkwOYKlypsFQnmtgg0HVjsSPRCRq5uLfBO0JTR6FgoH/1YiwU7X0nAxy19MmqQlY1xI6UliEA47X2TF4gT1/ta4IWMxTMPBOHjglDHn0J5dOJQRdwLaO1QLVk/0Y5Mx4SEtG001kzJheyIR7M9NuWMTFgaFEPbQQrIBiWPbB3wWLpHGaIgoAyau673fz/ndxiCwIaeMvcp63rOwbSDlJ5uUlG048DSG7ZM9JjYX3Q5dhmFqemainP9Y5qOYtYkdExNLykBYprotKCuTIzyyWsmez2SeRSwNL170tBonB73Cz4N0cTkDeK+Z6Qns+mmqzFaxzNm3RDqdkDr2w2rFPjpjN1/eJlvXPoQf/jZb5PJhjW1YCuZcWW2ww/HD5BIx968z96oz2Kc8b6HX2dTzam8ig5QZs7FLMq87tZ95j5hIBc8mt2ifmKB+Lf7eSVvL4IQuEzGTrSJ3Y/wIQoGQgAdO3ZZe0QiUCf55JWg97pFuMD8jInS2z2NmRh2r1q6Vw+xg5zRBzao1gSLbYHtBtRJbGwbHSss6CqQTGIshy0UrjjdTiMdVHx45yYf7r3Kt44eZfvH0cSZfh5PLmWF6ORRaz2ako2iMq64UTC73Ge+qagHke7l0kCdACH+HRnaWSMEr+j2ZpRWU56TpKOM/PYiFuva4lMD1hOM+oUZ9qnAt92oaD+8tYgLp5bqhPYI4zmp+D4IZAClwrKIKhnItKUw9XJbnbWNRuU1E58x8gVGWF6rN3ltvs4gX7DTnfDJzav05IK5N9QoJj7jth2c3vUAQFAGgxSeJihm+wUkHj0YkYmGjq6WPPOh6pAqi5GOQbqgpyukmDGzKR0TOYFSBI7rjNcOBjSjDFFYktQxOeygJwppBYsdj889ZhzHZMLF++pkyuHfxIbhvo/2opKYKdiOwm/0EHVNKOM3hxCCQADnCL61ChuNefArFd966hH+uXmCuy9vouYyznuylns5jxu080/c5VJnSCobKm9IZcNuOmZXjymD4Zv7j3LcyfhU50U25YyLZ4bg1u/rpbytECxTRE/mcEEJAjF6pF7T2FxEKlQu0LNAeuwx83veh/nQ0tnz6JlFTSpE3eDXCvY+WjA/51EluDweb30SUyVTKzATSGYBM4tFVJYOkapT55Em0rGdTCiD4fnbZ9nywKJE3T7Cb60RBr24EOqm+EQv6VIuVbjWjjCOLKII4cRHIGQOmTj8XCNqSSgcjVUsXhzA0zMmn16w+PtNNr+3D1ohnCPkBlfoUxcpEEBWYvm6YmGFkIcYihhiOqpoC6sUIbITGkVdq3amGljUBiXzpddA49TSQUqKSPna1FOGtkuuGs4WYx4uDric3sUhKYNqxS7pMnDvtCAIkV8O7Jgxqmvhdsr0fMrQddnVY3pqQSErhrbL+WLMUZ3T0xUbyYyFMyyEWRr8zG3CnUkPe5iDCpjUspikiKkmqED1UEWSN1TDHNtrz/C2DYv0ol04vPHnf/880jqmhjaFYHGhS6YlapgTJtNovGt0TPuUApGmiDwjffEW179+mWd++yfsD3uEMiMkAdltWFubs9mZc6k75L2d21TeLAO6Ji6LeTSyYUNM2cqmfH/vQb5wxtIgyXVDlb4LWNah9SANIGqPKh3eSGyhmJ6LWVYnhS3eM4JkGilSTVeh5wI9d6gyFlEkVBcGjB9OcFnc9AsPeibaZURAtm++LgNm4kiPKoSLM1mIQ/TTROMVRjpemJ2lvN7Dm7iIDMMjRNPgH9hp58eOaiulXFcECXU/8mu9ifxRl4UYTaxDnC9WijDT6Kq1P9tqKGcJD32txhxZrv3BJk9//iVuzh+hd22CqC2uI/H63WEteKI+C+Ekcypyf0Phom1ipQiJjzlcrR4/bvujNhygsrIttrEzH/dL8rRGisDAzOnIijoolIhH/x095/35TQpRMfHZUhBT/txn7bQQYGl/6JCs9WcMa8lwnnNlsUvRiYIdh2DLRE56Kgex+7YZlYuWklo6aq+5ddxntN9FNgK1XmEbhZhHFZF5YE43rxhP8jhCydpr6AXOynh/ncyi3yDuu5DqeeT4ubR9wFCQpBptNKJdHvhp1PnKbgeUIlQ1F7425vlPnuUvn/oaf3PjGcbzHGsjoXozm3EhO6InS9bUgkRYClmxb/vcqDYZuYLdZMyvb/yUUV0sn84gWfD8Uyl8/b5ezdsKEdotfRk5i4ttw/Scwnbi9KPYD+gyUA0E5Zag7it61z3Z0BF0HA0EbbBdE/mxWezS87vxyGE7ArWIyz5VC1QZaU7JxKMXDjVegPO4nT51T576PFBLxxlzzLfvPIK08Z7xZYWQAr9/iE4S3KVtgor8zuhXGvnJdS+amNgimt3EtDeBnij0LPoX+DTGgQcnYWJI94aEm7c5+90n+OLn/onPfObPefynDSGJt7rw74IqSrso8yBqlp4IsozRyyFzUfXU2ln4pu1Q2/dSiIBvFFTx/RW1QChYiJQsaRgkCy5lh2SyYeQKjHCcS0ecMcdksqYMhrlPKYNpyfoSdcqZNCfdaE8uuGPXyI0lKRqmo4L/XD/X+hH7pSWekZbNZMqNxUZMEWh5n1p4ro83GI06qLHGb9VxNzc1oAK98xN6WcW8SrC1QrRfVkKAVJbgZYyteZMfHBHugz8mhNgHrr/pX3zn8WAIYfu0Hvxdel1W1+R/YnVN/nec2nX5Zb8m91VIV1hhhRVWuId3gRxohRVWWOGXG6tCusIKK6zwFrEqpCussMIKbxGrQrrCCius8BaxKqQrrLDCCm8Rq0K6wgorrPAWsSqkK6ywwgpvEatCusIKK6zwFrEqpCussMIKbxH/DYoryaMlqR+VAAAAAElFTkSuQmCC\n"
+     },
+     "metadata": {}
+    }
+   ],
    "source": [
     "#Visualisation du dataset global\n",
-    "print(\"X_train:\", X_train.shape)\n",
-    "print(\"Y_train:\", Y_train.shape)\n",
-    "\n",
-    "print(\"\\nX_test:\", X_test.shape)\n",
-    "print(\"Y_test:\", Y_test.shape)\n",
+    "print(\"X:\", X.shape)\n",
+    "print(\"Y:\", Y.shape)\n",
     "\n",
     "N=5\n",
     "M=5\n",
     "plt.figure()\n",
     "for i in range(N*M):\n",
-    "    k = rd.randrange(X_train.shape[0])\n",
+    "    k = rd.randrange(X.shape[0])\n",
     "    plt.subplot(N, M, i+1)\n",
     "    plt.xticks([])\n",
     "    plt.yticks([])\n",
     "    plt.grid(False)\n",
     "\n",
-    "    afficher(X_train[k])\n",
-    "    plt.title(emotions[int(Y_train[k])])\n",
+    "    afficher(X[k])\n",
+    "    plt.title(emotions[int(Y[k])])\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -181,9 +217,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "X (152252, 48, 48, 1)\nY (152252, 7)\n"
+     ]
+    }
+   ],
    "source": [
     "#Labels catégoriques\n",
     "Ycat = keras.utils.to_categorical(Y)\n",
@@ -194,7 +238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -249,22 +293,53 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "[0.1456086  0.144747   0.14145526 0.14557326 0.141776   0.13994008\n 0.1408998 ]\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
+     },
+     "metadata": {
+      "needs_background": "light"
+     }
+    }
+   ],
    "source": [
-    "theImage = X_train[0]\n",
+    "theImage = X[0]\n",
     "afficher(theImage)\n",
     "print(predir(myModel, theImage))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "error",
+     "ename": "TypeError",
+     "evalue": "fit() got an unexpected keyword argument 'validation_size'",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-10-a9853c6d5064>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mhistory\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmyModel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mY\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m128\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalidation_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.05\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      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;31m#Affichage de l'historique de l'apprentissage\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'accuracy'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'accuracy'\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[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'val_accuracy'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'val_accuracy'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mTypeError\u001b[0m: fit() got an unexpected keyword argument 'validation_size'"
+     ]
+    }
+   ],
    "source": [
-    "history = myModel.fit(X, Y, epochs=5, validation_rate=0.05)\n",
+    "history = myModel.fit(X, Y, epochs=5, batch_size=128, validation_split=0.05)\n",
     "\n",
     "#Affichage de l'historique de l'apprentissage\n",
     "plt.plot(history.history['accuracy'], label='accuracy')\n",