diff --git a/notebooks/analise_exploratoria.ipynb b/notebooks/analise_exploratoria.ipynb
index 6703661..2552a65 100644
--- a/notebooks/analise_exploratoria.ipynb
+++ b/notebooks/analise_exploratoria.ipynb
@@ -751,7 +751,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "7eb1dee9-6527-4a2f-ac07-27e4699925db",
    "metadata": {
     "jupyter": {
@@ -792,7 +792,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "68eda58f-6a06-43eb-b228-d27bf970144a",
    "metadata": {},
    "outputs": [
@@ -954,7 +954,7 @@
        "default payment next month                           0"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -965,7 +965,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "6cb7939e-78dc-4de5-9a25-8c1adbc73d7f",
    "metadata": {
     "tags": []
@@ -1001,7 +1001,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "3798c1bf-3668-48be-9a61-e255d583b17a",
    "metadata": {
     "tags": []
@@ -1049,7 +1049,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "1e7a1aef-8df6-4ff6-ab20-5b5f452d744b",
    "metadata": {},
    "outputs": [
@@ -1270,7 +1270,7 @@
        "4                           0  "
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1291,7 +1291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "e2d6ebd6-0dc7-4364-9182-fc961277a81d",
    "metadata": {},
    "outputs": [],
@@ -1311,7 +1311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "6ee13269-93cf-473c-8f1b-37cd6b342e60",
    "metadata": {},
    "outputs": [],
@@ -1334,7 +1334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "f4803550-97f3-438f-96d2-8a858266d9d5",
    "metadata": {},
    "outputs": [],
@@ -1354,7 +1354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "e21598da-4ce7-4efd-97df-2e00b0952b39",
    "metadata": {},
    "outputs": [],
@@ -1365,7 +1365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "dac71551-f3d9-48b1-a884-6cf427ad356e",
    "metadata": {},
    "outputs": [],
@@ -1383,7 +1383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "13057f48-088e-4e1b-84f3-97e680d9a8f9",
    "metadata": {},
    "outputs": [
@@ -1604,7 +1604,7 @@
        "4                        nao  "
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1628,7 +1628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "id": "5252b652-903b-424c-8008-113724575927",
    "metadata": {},
    "outputs": [
@@ -2038,7 +2038,7 @@
        "[30000 rows x 24 columns]"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2059,13 +2059,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "id": "95fdc9e3-2a69-4dcf-bbf8-4d841629cfb4",
    "metadata": {},
    "outputs": [],
    "source": [
-    "profile = ProfileReport(df, title=\"Pandas Profiling Report - DATA GEAR\", explorative=True)\n",
-    "profile"
+    "#profile = ProfileReport(df, title=\"Pandas Profiling Report - DATA GEAR\", explorative=True)\n",
+    "#profile"
    ]
   },
   {
@@ -2078,12 +2078,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "id": "6cb3778f-8bf7-4b03-98a5-3d5b076a14b0",
    "metadata": {},
    "outputs": [],
    "source": [
-    "profile.to_file(\"../references/Report_inicial.html\")"
+    "#profile.to_file(\"../references/Report_inicial.html\")"
    ]
   },
   {
@@ -2097,7 +2097,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "id": "b72ad263-7cd8-4ca6-afa1-b52b51f68aef",
    "metadata": {
     "tags": []
@@ -2256,7 +2256,7 @@
        "mau                       0"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2268,7 +2268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "239e0d04-d7df-4653-b0a6-c49605391316",
    "metadata": {
     "tags": []
@@ -2284,7 +2284,7 @@
        "Name: MARRIAGE, dtype: int64"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2305,7 +2305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "b155ebae-7fe2-47da-b411-b02fedd4bd12",
    "metadata": {
     "tags": []
@@ -2324,7 +2324,7 @@
        "Name: EDUCATION, dtype: int64"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2354,7 +2354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "id": "a55ca6ac-99b2-4728-8624-57816169967a",
    "metadata": {
     "tags": []
@@ -2367,7 +2367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "id": "1e2b1fc1-5995-4d8b-860b-2a84125f720f",
    "metadata": {
     "tags": []
@@ -2404,7 +2404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 54,
    "id": "7414169c-9639-4cc6-bf30-e44dfdf0a4b3",
    "metadata": {
     "jupyter": {
@@ -2415,7 +2415,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 864x576 with 1 Axes>"
       ]
@@ -2428,11 +2428,11 @@
     "sns.set_style('darkgrid')\n",
     "ax = sns.countplot( data=df, x='educacao', palette='coolwarm')\n",
     "ax.figure.set_size_inches(12, 8)\n",
-    "total = float(len(df))\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
     "for p in ax.patches:\n",
     "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
     "    x = p.get_x() + p.get_width()/2\n",
-    "    y = p.get_height() + 100\n",
+    "    y = p.get_height() /2\n",
     "    ax.annotate(valores, (x, y),ha='center')\n",
     "plt.suptitle('Distribuição por Educação', fontsize=22)\n",
     "plt.ylabel('Quantidade', size=14)\n",
@@ -2440,6 +2440,84 @@
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "c33638e2-3533-40f6-b2dc-16d3e49ebadc",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('darkgrid')\n",
+    "ax = sns.barplot( data=df, x=\"educacao\", y=\"limite\", palette='coolwarm', estimator= np.sum)\n",
+    "ax.figure.set_size_inches(12, 8)\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
+    "for p in ax.patches:\n",
+    "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
+    "    x = p.get_x() + p.get_width()/2\n",
+    "    y = p.get_height() /2\n",
+    "    ax.annotate(valores, (x, y),ha='center')\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "plt.suptitle('Soma dos limites por Educação', fontsize=22)\n",
+    "plt.ylabel('Soma Limites', size=14)\n",
+    "plt.xlabel('Educação', size=14)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "2ff0e8cf-c304-41a9-92c7-873e54e50a2b",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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zPb766ivS0tJ49tln6dq1a7a/n/Lly2cbyte2bdtsE97t7e0ZOHAgfn5+rF+/nkuXLlm3XbhwgTlz5mBnZ8fkyZOztWc2m2nRokWWssDAQGrUqJEtXj8/PwYPHgzA77//nmXbzz//zKVLlwgODs42RK5BgwY888wzwPXf+/7NYrHw+eefAzBp0qRscT/88MM88cQTJCQk8Ouvv+aqzRIlSvDNN99w3333kZyczLJly3jvvfd4+umnqVevHs8++2yOy0UvWLCA06dP06ZNG/r27ZtlWJunpycffPABDg4O/PDDDxiGYd12//33M2rUKNLS0nj11Vc5d+4cAwcO5MqVK7zyyitZ7vzd7vukyM1omJDIHShfvjzz589nx44drF69mt27d7Nv3z7i4+PZuXMnO3fuZM2aNVnGAG/duhWADh06ZBk/mumxxx5j5MiRnDhxgqioqGy3qRs0aJBtuITZbKZkyZLExcXx4IMPZmuzbNmyAERHR+f4OiIjI1m1ahV///03ly5dIj09HYDz588DcPz4cSpWrHjT47Fnzx6SkpLw9/enQYMG2bZXrlyZSpUqceDAgRzr+fn55bgMq7e3NyEhISxevJgtW7ZY/4OsWbMmR44c4bXXXuPFF18kKCgoS5KUHxwcHHIcipR5zKtXr57j+OP77ruPgwcPXvd3cqvWrFkDZCQaRYsWzbbdzs6OunXrcujQIeta8N7e3pQsWZIDBw7wwQcf0LVr17syWTozEfq3Rx99lK1bt7JlyxZeeuklALZs2QJA8+bNcxze07RpU3x9fYmJiWHPnj1ZLo4AqlatmmXY0+240dKiVatWtX6flpbGjh07gJxfo6OjI61bt+a77767o3gyWSwWNmzYAEDXrl1vqe6xY8dYu3YtJ0+e5PLly9YLUIvFQnp6OidPnrS+tk2bNpGamkpwcHCu/s4zpaWlsWnTJnbt2kVMTAwpKSkYhsHly5etMVwr873vese7c+fOfP3112zfvh2LxXLTv+X9+/cTExNDxYoVrzv8sF69evzwww/s2rUr188KCQ4OZunSpWzatIl169YRERHBvn37SEpKYv369axfv56XX345yxyRzL+/zHlb/+bv70/ZsmU5cuQIx48fz5J8d+jQgS1btvDzzz/ToUMHEhMTefDBB60f4mS63fdJkZtRMiByFwQHBxMcHAxkLCm6a9cuPv/8c9atW0dYWBjNmjWzflofFRUFcN0LmCJFiuDn50dUVFSOyUBAQECO9VxcXAByHOOauS0lJSXbtk8//ZQpU6aQlpZ23dd37aeIN3Kz1wZYLz6vlXlBfKN6mdsy+4CMZTgPHDjAmjVrWLNmDU5OTlSvXp2GDRvy6KOP5su42WLFiuV40eLs7Axc//eVuT2nT7tvx6lTp4CMT9B/+OGHG+6bOUkSYPz48QwYMIBvv/2Wb7/9Fm9vb2rVqsWDDz7II488gpub2y3Hcr3fY+Yk18jISGtZbs6Z0qVLExMTk+V3n6lEiRK3HN+/5XZp0djYWFJSUrCzs7tuv9dO5L1TsbGxXLlyBXt7e2tyeTNpaWmMHDmSuXPnZvkE+t+u/ZvOnJxerly5XMd27NgxXn75ZY4ePZqrPuDmv+uSJUtiZ2fH1atXiYuLy3JnMSeZ5/zhw4dvOkn42nM+N8xmM40bN7ZedKemprJlyxYmTpzIX3/9xeeff85DDz1kvTuUGcvNFknIjOXfd+Lefvtt1q9fz5kzZ/Dx8WH8+PHZ7gLd7vukyM0oGRC5y+zs7AgODmbq1Kl07dqVvXv3smLFimyTJu+k/TvZfq1ly5bx+eef4+LiwogRI2jYsCG+vr7WT5Zfe+01Fi9efMOLirsppyFEN+Lr68v8+fPZvHkzGzZsYMeOHezevZutW7fy5ZdfMnLkSLp06ZJH0Wa4m7+PO2GxWACoVq3aTSezX/vpb926dQkPD+fPP/9ky5Yt7Ny5k1WrVvHnn3/y2WefMX369CyfjueVW/3dZ8rpLsh/UebduGvdzjH57rvv+Pnnn/Hz82Po0KHUrl0bHx8f693Ebt26sXPnzix/07fTz4ABAzh69CghISH06dOH8uXL4+bmhtls5tixY9f9hPx2+8tJ5jHz9/e/6UPObiXRyYmDgwONGzcmKCiINm3aEBUVRXh4uDUZyPz7e+ihh266mk9Od8C2bt3K2bNnAYiPj+fEiRPXXdHobh0/kUxKBkTyiNlspkGDBuzdu5fY2FhreeYn99d7aM3Vq1etnwDdykoWtyNzTO+rr76a4zCEEydO3FJ7mfFmftKYk5y2ZY6zvtGDfDK3/fuY2NnZ0ahRI+tQnaSkJL7//ns++ugjRo0aRevWre9oPPl/ReYqKA0aNODNN9+8pbpOTk60bdvWOs4/Ojqa999/n6VLlzJq1Ch+/PHHW2rv9OnTWdagz5T5u7/2d5j5feYnqznJ3JbXfw834+XlhaOjIykpKZw7dy7HVZaud+5nDglMSkrKcXvmheC1PD09cXJy4sqVK5w8eTJXqzpl/k2PGjWK5s2bZ9ue09905l2Ofw/ruZ6jR49y6NAhfHx8mDx5crY7YydPnsyxnr+/P3///TenTp3KcWjdmTNnSE9Pp0iRIlnmvFxP5l03X1/ffHtwnIuLC0FBQSxbtizL3YbixYtz7NgxnnzySR566KFbajM6Opo33ngDwzB47LHHWLBgAa+++ioLFy7Mchzu5H1S5EY0gVjkNuXm0/Jz584BWd+YMx9Ctnjx4hyH5oSFhWEYBmXLls3zN/T4+Hgg56EsR48eZf/+/bfUXrVq1XB2diYyMtI6Pvhahw4dsk5evVb16tVxdnYmKiqKjRs3ZtseGxvLypUrAahfv/4NY3B2dqZv374EBARw9epV/v7771t6DYVV5sXk9YZzZU6iDg8Pv+GQr9zw8/Nj0KBBANmGdOXGokWLcizPnMR57e8w8/s///zTej5ea+3atcTExODs7JxvE8Kvx97entq1awPkOCE1JSWFZcuW5Vg38285p/PRMAzWrl2brdxsNlsvmufOnZurGDOPYU7PEli/fn2Ow2UaNmyIg4MDO3fuvOGwn3/34efnl+MQuetN1s1871u4cGGO2xcsWABkLJf77+dK5KRmzZp4enqyf//+W/7g4npu93098+/v35OmbyY9PZ3XX3+dCxcu0KNHD95//306duzI2bNnGTp0aJZ97+b7pMi1lAyI3KbZs2czdOhQIiIism1LS0vj559/tl4YXLuySps2bShevDinT5/mo48+yjI84MiRI3z22WcAPPvss3n8Cv65dT537tws8wkuXLjAm2++ecsXlU5OTtZhOWPHjs1y4ZGYmMjIkSNz/M+2aNGidOvWzVrv2km1V69eZcSIESQlJREUFJRlUtw333xj/Y/5Wn/99RcxMTHY2dld9wFL/zU3upiEjETs4Ycf5sSJEwwcODDLuPxM8fHx/Pjjj9bf65kzZ5g7d26Oc0IyLypuZ0z+8uXLs10U//TTT2zZsgVnZ+csQ7fq1q1LjRo1uHz5MqNGjcpyHkZFRfHee+8B8Mwzz2RZaaig9OjRA4AZM2bw119/WcvT09OZMGHCdcdqN2jQADs7O9auXZtlpReLxcLEiRNzfB8BeOmllzCbzUyfPt16sXyto0ePZrmAzxyLPnv27CzvLSdPnuTdd9/NsQ8fHx+6detGeno6/fv3z3aHwGKxWM8HyJj8bmdnx+HDh7Ml/fPnz2fJkiU59vP444/j4uLC9u3bs02y3rp1K99//z1Ajg/jy4mDgwP9+vXDYrHw8ssv53gMU1JSCA8Pz1WSAxmrEo0dO5bDhw9n23b16lUmT55MREQEZrM5y1Coxx9/nOLFixMWFsZnn33GlStXstU/deoUv/zyS5ayzz//nM2bN1O9enXrKkzvvvsu5cqVIzw83Lp6Fdz++6TIzWiYkMhtSk1NZcGCBSxYsABfX18qV66Mh4cH8fHxWVaJ6dOnT5YVfooUKcKkSZN4/vnnmT59OitWrKBGjRrEx8ezefNmUlNTrU9dzWs9e/Zk4cKFrFq1ipYtW1KzZk2uXr3Kli1bKF68OA8//DArVqy4pTYHDhzI9u3b2bt3L6GhoTRs2BCz2czmzZtxc3MjJCQky4XFtfX27NnDli1baNWqlfVhOtu2bSMmJoYSJUowYcKELHW+/PJLxo8fb11e0dHRkXPnzrFz507S09Pp27cvvr6+d3SMCougoCB8fX3Zu3cvjz32GBUrVsTe3p7g4GA6d+4MwLhx43jppZf4448/WLNmDZUrV6ZkyZJYLBZOnTrFwYMHsVgsdOrUCXt7exISEnj77bcZOXIkVapUoVSpUqSnp3P06FEOHz6Mg4OD9QLlVnTv3p0BAwYQFBREqVKl+Pvvv9m3bx9ms5kxY8ZkW37zo48+okePHixevJjNmzdTt25d60PHkpKSaNSoUY5P7b1bhgwZcsPtAwYMsCZFmctV/vTTT3Tr1i3LQ8eioqJ48sknrcs/XivzqdM//PADPXv2pE6dOri6ulpXH+vevXuWJ1xnqlmzJqNGjeLdd99l6NChfPnll1StWtX60LHDhw/z/vvvW1eBeuGFF1i3bh0//fQTmzdvpmrVqtYHGtauXZtixYqxc+fObP288cYbnDx5ktWrV9O+fXuCgoIICAjgwoULHDp0iAsXLljv6nl7e/PUU0/x/fff06NHD+rVq4evry+HDh3i0KFDvPDCC0yZMiVbH76+vowfP55BgwYxduxY5s6dS2BgINHR0Wzbto309HReeumlHJcKvp6ePXty9uxZZsyYQdeuXalUqRJlypTBwcGBqKgo9u/fT1JSEl9//XWuVspKSkriu+++47vvvqNkyZIEBgbi4uLCxYsX2bdvH3FxcZjNZoYNG5ZlBSMXFxemTJnCiy++yOTJk/n+++8JDAzEz8+Py5cv8/fff3PixAlq1arFo48+CmSs4vTFF1/g6urKpEmTrPM6nJ2dmTRpEl27duXDDz8kODjYuozr7bxPityMkgGR29SlSxdKlSrFhg0biIiI4NChQ1y8eBF7e3v8/f3p1KkTXbp0yfHpvUFBQSxcuJCpU6eydu1ali9fTtGiRQkKCuLxxx+nQ4cO+TJJrHTp0oSFhTFx4kS2b9/On3/+ib+/P0888QQvv/wyY8eOveU2XVxcmDVrFl999RVLlixh9erVeHt706pVKwYOHMj48eNzrFekSBGmT5/Ojz/+yC+//MLmzZtJS0ujZMmSPProo/Tp0yfbxLzhw4ezYcMG9uzZw+bNm0lOTrY+wfapp56iSZMmt3VcCiNHR0emTZvGxIkT2bVrF/v37yc9PR2LxWJNBjKffbFo0SIWLVrE3r172bt3L+7u7vj5+fHEE0/QokUL6yfspUuXZujQoWzZsoUjR45w5MgRTCaT9Rzo0aPHdZdsvJEePXoQFBTEjBkzWLlyJSaTiQceeIB+/fpZh4pcq2zZsoSFhTFt2jTCw8MJDw/H3t6eChUq0LFjRx5//PEcl+G9W8LCwm64vWfPnlnukIwcOZLq1asze/Zstm/fjpOTE8HBwXz66afs378/x2QAMlaMKV68OPPnz2f79u24urrSoEEDBg4cmOMFeqYuXbpQo0YNZsyYwaZNmwgPD8fZ2ZnixYvz3HPP0bBhQ+u+tWvXZt68eUycOJE9e/YQHh5OqVKlePHFF+nbty/PPfdcjn04Ojry1VdfsWjRIhYsWMC+ffvYtm2bde7Tww8/nGX/t956i0qVKjFnzhz++usv7O3tqVatGl9//TXlypXLMRmAjGRq/vz5fP3112zatMn6pPDGjRvTvXv3XD8p+FpDhw7l4YcfZs6cOezYsYNVq1ZRtGhRfH19eeihhwgJCcn1U9T79etHrVq12LBhA/v372fPnj3Exsbi6OhIyZIlad26NU8++WSOc2IqVarEr7/+yuzZswkPD2ffvn3s3LkTb29vihcvTrt27WjVqhWQcff19ddfJz09ndGjR2db+axSpUoMGzaMd999l0GDBrFw4UJcXV1v631S5GZMRn4tEyIiIve0kJAQzpw5Y70Alf+2iRMnsmHDBn766ad8WxVLRPKf/rpFREQkm5YtWxIREZHjk8tF5N6hYUIiIiICZDworE+fPpQsWZI9e/YAGfOjROTepWRAREREgIzndly6dInly5fj7Ox8z829EZHsNGdARERERMRGac6AiIiIiIiNUjIgIiIiImKjlAyIiIiIiNgoJQMiIiIiIjZKyYCIiIiIiI1SMiAiIiIiYqOUDIiIiIiI2CglAyIiIiIiNkrJgIiIiIiIjVIyICIiIiJio5QMiIiIiIjYKCUDIiIiIiI2SsmAiIiIiIiNUjIgIiIiImKjlAyIiIiIiNgoJQMiIiIiIjZKyYCIiIiIiI1SMiAiIiIiYqOUDIiIiIiI2CglAyIiIiIiNkrJgIiIiIiIjVIyICIiIiJio5QMiIiIiIjYKCUDIiIiIiI2SsmAiIiIiIiNUjIgIiIiImKjlAyIiIiIiNgoJQMiIiIiIjZKyYCIiIiIiI1SMiAiIiIiYqOUDIiIiIiI2CglAyIiIiIiNkrJgIiIiIiIjVIyICIiIiJio5QMiIiIiIjYKCUDIiIiIiI2yr6gA7Bl6enpWCxGQYchIiIiIvc4BwdzjuVKBgqQxWIQF5dU0GGIiIiIyD3O19ctx3INExIRERERsVFKBkREREREbJSSARERERERG6U5AyIiIiKS7yyWNGJjY0hLSynoUO4p9vaOeHn5Yjbn7jJfyYCIiIiI5LvY2BiKFnXGxSUAk8lU0OHcEwzD4PLlBGJjYyhWrHiu6miYkIiIiIjku7S0FFxc3JUI3EUmkwkXF/dbutuSb8nA0KFDadSoEe3bt8+2bfr06VSqVImLFy8CGVnNmDFjCA0NpUOHDuzdu9e6b1hYGC1btqRly5aEhYVZy/fs2UOHDh0IDQ1lzJgxGEbG+v1xcXH07t2bli1b0rt3b+Lj4/OtDxERERG5PiUCd9+tHtN8SwYee+wxpk2blq383LlzrF+/nhIlSljL1qxZw/Hjx1m+fDmjR49mxIgRQMZF9+TJk/n555+ZO3cukydPtl54jxgxgtGjR7N8+XKOHz/OmjVrAJg6dSqNGjVi+fLlNGrUiKlTp+ZbHyIiIiIihVm+JQP16tXDw8MjW/n777/P4MGDs2Qx4eHhdOzYEZPJRFBQEAkJCURHR7Nu3ToaN26Mp6cnHh4eNG7cmLVr1xIdHc2lS5cICgrCZDLRsWNHwsPDs7QF0LFjR1asWJFvfYiIiIiIFGYFOoF4xYoV+Pn5Ubly5SzlUVFRBAQEWH8OCAggKioqW7m/v3+O5Zn7A1y4cAE/Pz8AfH19uXDhQr71cTNmswlPT+dc7SsiIiJyL4mKMmE2a/pqXjCZcn+NWWDJwJUrV5gyZQrTp0/Ptz5NJlOej027lT4sFoO4uKQ8jUdERESkMDIMA4slvcD6v3LlCsOHDyE6Opr0dAu9evWhZMnSTJ48kaSkJDw9PRk2bARFixbl+ed7MG7cx5Qpcx/vvjuMOnXq0aFDR7744lM2bVqPyWSiZ8/naNGiZYG9nmsZRvZrTF9ftxz3LbB07OTJk5w+fZpHH32UkJAQIiMjeeyxx4iJicHf35/IyEjrvpGRkfj7+2crj4qKyrE8c38AHx8foqOjAYiOjsbb2xsgX/oQERERkcJp8+YNFCvmy8yZc5g162caNHiASZM+ZPTocUyf/j3t2j3C1Kmf4+rqyquvvsHYsSNZsWIZiYmJPPJIJ1avXsnhwweZMWMOkyZ9weeff8L58+cL+mXdsgJLBipVqsTGjRtZuXIlK1euJCAggAULFuDr60tISAgLFy7EMAx27dqFm5sbfn5+NGnShHXr1hEfH098fDzr1q2jSZMm+Pn54erqyq5duzAMg4ULF9KiRQsAa1tAjuV52YeIiIiIFE7lylVg69bNfPHFp+zevZPo6Ej+/vsogwa9TK9eTzFz5jfExGR82FuvXkPKlavAxx+PZ8iQtwGIiNjFww+3wmw24+3tQ+3awRw4sPdGXRZK+TZM6NVXX2XLli3ExsbStGlT+vfvT9euXXPct1mzZqxevZrQ0FCcnJx47733APD09KRfv3506dIFgJdffhlPT08A3n33XYYOHUpycjJNmzaladOmAPTt25eBAwcyb948SpQowaRJk/KtDxEREREpnMqUKcv06d+zceN6vv76S4KD63L//eWYMuXbbPump6dz4sQxihYtSmJiIn5+/gUQcd4wGZmL5Uu+S021aM6AiIiI2KTIyBMEBJQtsP7Pn4/Bzc2dIkWKsH79WsLC5nLq1EneeWcU1avXJC0tjZMnT1CuXHnmzPmekydP0Lp1Wz799GOmTPmW9evX8MsvC/jww09ISEigT5/uTJ06Ax+fYgX2mjLldGyvN2egQFcTEhEREREpCEePHuGLLz7BZLLD3t6e118fgtlsZtKkCVy6dAmLxcLjjz+Jvb2ZxYsX8vXXM3F2diEoqDYzZ37Ds8/2Zc+ev+jV60lMJhP9+g0oFInArdKdgQKkOwMiIiJiqwr6zsC97FbuDGhxVxERERERG6VkQO7Ijh3bGDnyLXbs2FbQoYiIiIjILdKcAbkjc+fO5tixv0lOvkJwcN2CDkdEREREboHuDMgduXIlOctXEREREfnvUDIgIiIiImKjlAyIiIiIiNgozRkQERERkQLn6eWCg/3d+5w6NS2duNjLN9xn7twfWbhwHoGBlXn33TG33de0aV9Rq1Zt6tVrcN191q1bzbFjx+jevddt95MXlAyIiIiISIFzsLdj6dZLd629tvVcb7pPWNhcJk36Aj8//zvqq0+fF2+6T5MmzWjSpNkd9ZMXlAyIiIiIiM358MP3OHv2DK+/PoAWLVpy5sxpjh07SlpaGs8+25cHH3yIpUsXsXbtKq5cucLp06d48slnSE1NZdmypTg4ODJhwie4u3swduwIHnigCc2bP0yXLh1o06Y969evIS0tjdGjx1G27H0sXbqIAwf28eqrbzJ27AhcXFw4cGA/Fy5coF+//jRv/jCGYfDFF5+yadN6TCYTPXs+R4sWLfP0OCgZ+I+727fUbpXZbLJ+vd6T7fJLbm4HioiIiAAMHjyMzZs38umnU/jppx+oU6cew4a9S2JiIs8/35O6dTOG/Pz991G+/fYHrl5NoVu3jrz0Un++/XY2n376Eb//voTHH38qW9seHh5Mn/4DCxbMZc6cWQwZ8k62fc6fP88XX0zjxInjDBnyKs2bP8zq1Ss5fPggM2bMIT4+jj59elCrVjDFihXLs+OgZOA/7m7fUrtVSVcN69eCjANydztQRERE5N+2bNnEunWrmTPnewBSUq4SFRUJQHBwXZydXXB2dsHFxZXGjZsCUK5cBY4ePZJje82ahQBQqVIVVq/+M8d9mjZ9CDs7O+6/vxwXL14EICJiFw8/3Aqz2Yy3tw+1awdz4MDePB1epGRARERERGyaYRiMHTueMmXuy1K+b98eHBwcrD/b2dnh4OBo/d5iScuxvcx9zOYb7eNwzU/G7Qd/h7S0qIiIiIjYtAYNGjFv3k8YRsZF+aFDBwokjlq1arNy5R9YLBZiY2PZtWsnVapUy9M+dWdARERERApcalr6XR3ym5qWnut9e/V6jk8++YiePbuRnm5QokQJxo+fdNdiya2mTZuzZ89f9Or1JCaTiX79BuDjk3fzBQBMRmYKJPkuNdVCXFzSHbXh6+tWoGP1p094idjzZ/EqVoJnX/+ywOKAjDkDMTGJBRqDiIiI5E5k5AkCAsoWdBj3pJyO7fUWetEwIbkjDkWcsnwVERERkf8OJQNyRxqHPkXpctVpHJp9WS2RgrZjxzZGjnyLHTu2FXQoIiIihZLmDMgdKVe5LuUq1y3oMERyNHfubI4d+5vk5CsEB+s8FRER+TfdGRCRe9aVK8lZvoqIiEhWSgZERERERGyUkgERERERERulOQMiIiIiUuC8PZ0wO9y9S1NLahoX467ctfbutnPnzvLGGwOZNetnDhzYx++/L2HgwMH5HoeSAREREREpcGYHey6E/3jX2vNp0e2utZXXKleuSuXKVQukbyUDIpInPL1ccLAv2JGIZrPJ+vV6D1vJD6lp6cTFXi6w/kVEJLtz587y2mv9qVatBn/9FUGVKlVp27YD06dPITY2luHDRwPwyScfkZJylSJFijJs2HDKlLmPv/8+yvvvjyQ1NQ3DSGfMmPGULl2G335bzI8/fg+YqFChAu+8M5qxY0fwwANNaN78YQBCQx/kjz/WZollx45t/Pjj94wfP4lvvplCVFQkZ8+eISoqiscff5KuXTMSmx9//J4lS34FoEOHjjz++J0v7a5kQETyhIO9XYE+HRsg6aph/VqQsbSt51pgfYuIyPWdOXOa0aPHMXRoOfr06cEff/zOF198w7p1q5k161vefnskn3/+Nfb29mzdupkpUz5n7NgP+eWX+XTt+iQtW7YhNTWV9HQLf/99lJkzp/PVV9Px9PQkISH+tuM6efIEn376FUlJSTz1VGc6derCkSOHWbp0EVOnzsQwDPr27UVQUDCBgZXv6BgoGRARERERm1S8eAnKl68AwP33l6Nu3fqYTCbKlavAuXPnuHTpEmPGjOD06ZOYTCbS0tIAqFatJt99N53o6CiaNQuhdOky7NixlebNW+Dp6QmAu7vHbcfVqFFjHB0dcXR0xMvLi4sXLxARsYumTZvj5OQEQLNmzdm9e9cdJwNaTUhEREREbJKDg4P1ezs7O+vPdnZ2WCxpTJv2FcHBdZk162fGjZtISkoKAC1btmbcuI8pUqQogwe/wvbtW6/bh9lsJj094051eno6qampuYjLMUtcFovltl5fbigZEBERERHJwaVLl/D19QVg6dJF1vIzZ05TokRJunbtRpMmzTh69DDBwfX4889w4uPjAKzDhAICinPw4H4A1q1bY727cKtq1arN2rWrSE5O5sqVK6xZ8ye1agXd7kuz0jAhERERESlwltS0u7oCkCX19i66r/X00z0YM2YEM2d+Q6NGTazlK1euYNmypdjb2+Pt7UOPHr1xd/egZ89n+d//+mJnZyYwsBJvvTWCRx7pxJAhr9Gz55M0aNDIOsznVlWqVJk2bdrz/PM9gIwJxHc6RAjAZBiGccetyG1JTbUQF5d0R234+roV+CTNwqJtPVdiYhILOgz5f4Xh3Jz12atEnzmKX8nydO//cYHFoXNTRCS7yMgTBASULegw7kk5HdvrraqnYUIics9qHPoUpctVp3HonS+9JiIici/SMCERuWeVq1yXcpXrFnQYIiIihZbuDIiIiIhIgdBo9bvvVo+pkgERERERyXf29o5cvpyghOAuMgyDy5cTsLd3vPnO/0/DhEREREQk33l5+RIbG8OlS3EFHco9xd7eES8v39zvn4exiIiIiIjkyGy2p1ix4gUdhs3TMCERERERERulZEBERERExEYpGRARERERsVFKBkREREREbJSSARERERERG6VkQERERETERikZEBERERGxUUoGRERERERslJIBEREREREbpWRARERERMRGKRkQEREREbFRSgZERERERGyUkgERERERERuVb8nA0KFDadSoEe3bt7eWjRs3jtatW9OhQwdefvllEhISrNumTJlCaGgorVq1Yu3atdbyNWvW0KpVK0JDQ5k6daq1/NSpU3Tt2pXQ0FAGDhxISkoKACkpKQwcOJDQ0FC6du3K6dOn87UPEREREZHCKt+Sgccee4xp06ZlKWvcuDGLFy9m0aJF3HfffUyZMgWAI0eOsGTJEpYsWcK0adMYOXIkFosFi8XCqFGjmDZtGkuWLGHx4sUcOXIEgAkTJtCrVy/++OMP3N3dmTdvHgBz587F3d2dP/74g169ejFhwoR860NEREREpDDLt2SgXr16eHh4ZClr0qQJ9vb2AAQFBREZGQlAeHg47dq1w9HRkdKlS1O2bFkiIiKIiIigbNmylC5dGkdHR9q1a0d4eDiGYbBp0yZatWoFQKdOnQgPDwdg5cqVdOrUCYBWrVqxceNGDMPIlz5ERERERAqzQjNnYP78+TRt2hSAqKgoAgICrNv8/f2Jioq6bnlsbCzu7u7WxCIgIICoqChrW8WLFwfA3t4eNzc3YmNj86UPEREREZHCzL6gAwD48ssvMZvNPPLIIwUdSr4ym014ejoXdBj3FB1PKax0boqISGFU4MnAggULWLVqFTNmzMBkMgEZn8ZnDhmCjE/e/f39AXIs9/LyIiEhgbS0NOzt7YmMjLTu7+/vz7lz5wgICCAtLY3ExES8vLzypY+bsVgM4uKSbvfQAeDr63ZH9e81d3o85e7RuZmVzk0RESlI1/t/uUCHCa1Zs4Zp06bx5Zdf4uTkZC0PCQlhyZIlpKSkcOrUKY4fP07NmjWpUaMGx48f59SpU6SkpLBkyRJCQkIwmUw0aNCAZcuWARAWFkZISIi1rbCwMACWLVtGw4YNMZlM+dKHiIiIiEhhZjLyaabrq6++ypYtW4iNjcXHx4f+/fszdepUUlJS8PT0BKBWrVqMGjUKyBg6NH/+fMxmM8OGDaNZs2YArF69mvfeew+LxULnzp156aWXgIxlPwcNGkR8fDxVqlRhwoQJODo6cvXqVQYPHsz+/fvx8PBg4sSJlC5dOt/6uJHUVMtduTOwdOulO2rjXtG2nisxMYkFHYb8P52b/9C5KSIiBe16dwbyLRmQ7JQM3F264CpcdG7+Q+emiIgUtEI5TEhERERERAqOkgERERERERulZEBERERExEYpGRARERERsVFKBkREREREbJSSARERERERG6VkQERERETERikZEBERERGxUUoGRERERERslJIBEREREREbpWRARERERMRGKRkQEREREbFRSgZERERERGyUkgERERERERulZEBERERExEYpGRARERERsVFKBkREREREbJSSARERERERG6VkQERERETERikZEBERERGxUUoGRERERERslJIBEREREREbpWRARERERMRGKRkQEREREbFRSgZERERERGyUkgERERERERulZEBERERExEYpGRARERERsVFKBkREREREbJSSARERERERG6VkQERERETERikZEBERERGxUUoGRERERERslJIBEREREREbpWRARERERMRGKRkQEREREbFRSgZERERERGyUkgERERERERulZEBERERExEYpGRARERERsVFKBkREREREbJSSARERERERG6VkQERERETERikZEBERERGxUUoGRERERERslJIBEREREREbpWRARERERMRGKRkQEREREbFRSgZERERERGyUkgERERERERulZEBERERExEYpGRARERERsVH5lgwMHTqURo0a0b59e2tZXFwcvXv3pmXLlvTu3Zv4+HgADMNgzJgxhIaG0qFDB/bu3WutExYWRsuWLWnZsiVhYWHW8j179tChQwdCQ0MZM2YMhmEUeB8iIiIiIoVZviUDjz32GNOmTctSNnXqVBo1asTy5ctp1KgRU6dOBWDNmjUcP36c5cuXM3r0aEaMGAFkXHRPnjyZn3/+mblz5zJ58mTrhfeIESMYPXo0y5cv5/jx46xZs6bA+xARERERKczyLRmoV68eHh4eWcrCw8Pp2LEjAB07dmTFihVZyk0mE0FBQSQkJBAdHc26deto3Lgxnp6eeHh40LhxY9auXUt0dDSXLl0iKCgIk8lEx44dCQ8PL/A+REREREQKM/uC7PzChQv4+fkB4Ovry4ULFwCIiooiICDAul9AQABRUVHZyv39/XMsz9y/oPu4GbPZhKenc672ldzR8ZTCSuemiIgURgWaDFzLZDJhMplsqg+LxSAuLumO+vP1dbuj+veaOz2ecvfo3MxK56aIiBSk6/2/XKCrCfn4+BAdHQ1AdHQ03t7eQMan8ZGRkdb9IiMj8ff3z1YeFRWVY3nm/gXdh4iIiIhIYVagyUBISAgLFy4EYOHChbRo0SJLuWEY7Nq1Czc3N/z8/GjSpAnr1q0jPj6e+Ph41q1bR5MmTfDz88PV1ZVdu3ZhGEaObRVEHyIiIiIihVm+DRN69dVX2bJlC7GxsTRt2pT+/fvTt29fBg4cyLx58yhRogSTJk0CoFmzZqxevZrQ0FCcnJx47733APD09KRfv3506dIFgJdffhlPT08A3n33XYYOHUpycjJNmzaladOmAAXah4iIiIhIYWYyMhfLl3yXmmq5K3MGlm69dJci+m9rW8+VmJjEgg5D/p/OzX/o3BQRkYJWKOcMiIiIiIhIwVEyICIiIiJio5QMiIjYgB07tjFy5Fvs2LGtoEMREZFCpNA8Z0BERPLO3LmzOXbsb5KTrxAcXLegwxERkUJCdwZERGzAlSvJWb6KiIiAkgEREREREZulZEBERERExEYpGRARERERsVGaQCwikscMi+W6D3vJL2azyfq1IGOxpKZxMe5KgfUvIiJZKRkQEcljJrOZC+E/FmgM6VcSrV8LMhafFt0KrG8REclOw4RERERERGyUkgERERERERulZEBERERExEYpGRARsQFFHR2zfBUREQElAyIiNuGJpnWoVqY4TzStU9ChiIhIIaLVhEREbEBwhTIEVyhT0GGIiEghozsDIiIiIiI2SsmAiIiIiIiNUjIgIiIiImKjlAyIiIiIiNgoJQMiIiIiIjZKyYCIiIiIiI1SMiAiIiIiYqOUDIiIiIiI2CglAyIiIiIiNkrJgIiIiIiIjVIyICIiIiJio5QMiIiIiIjYKCUDIiIiIiI2SsmAiIiIiIiNUjIgIiIiImKjlAyIiIiIiNgoJQMiIiIiIjZKyYCIiIiIiI26rWQgOTmZDRs2cObMmbsdj4iIiIiI5JNcJQNDhgzhhx9+ACAlJYWuXbvy7LPP0rp1a1avXp2nAYqIiIiISN7IVTKwbt06goKCAFi5ciWXL19m/fr19O/fn8mTJ+dlfCIiIiIikkdylQzEx8fj4+MDwNq1a2nZsiU+Pj60bduWI0eO5GmAIiIiIiKSN3KVDPj6+nLo0CEsFgvr1q2jUaNGACQlJeHg4JCnAYqIiIiISN6wz81Ojz32GIMGDcLPzw+z2WxNBnbv3k25cuXyNEAREREREckbuUoG/ve//1GxYkXOnTtH69atcXR0zKhsb0+fPn3yNEAREREREckbuUoGAFq1apWtrFOnTnc1GBERERERyT+5fs7A6tWreeGFF2jbti3nzp0DYO7cuWzcuDHPghMRERERkbyTq2Tg119/ZeDAgZQtW5bTp0+TlpYGgMViYdq0aXkaoIiIiIiI5I1cJQPTpk1jzJgxDBs2DLPZbC0PCgpi//79eRaciIiIiIjknVwlAydOnLA+dOxazs7OXLp06W7HJCIiIiIi+SBXyYCfnx/Hjx/PVr5161bKlClzt2MSEREREZF8kKtk4PHHH2fMmDFs374dgHPnzhEWFsaHH37Ik08+macBioiIiIhI3sjV0qLPP/88ly5d4tlnn+Xq1av06NEDR0dHnn32WZ5++um8jlFERERERPJArp8zMGjQIF588UWOHDmCYRiUL18eFxeXvIxNRERERETyUK6GCQ0dOpRLly7h5OREjRo1qFmzJi4uLiQlJTF06NC8jlFERERERPJArpKBhQsXcvXq1WzlycnJ/PLLL3ccxIwZM2jXrh3t27fn1Vdf5erVq5w6dYquXbsSGhrKwIEDSUlJASAlJYWBAwcSGhpK165dOX36tLWdKVOmEBoaSqtWrVi7dq21fM2aNbRq1YrQ0FCmTp1qLc+PPkRERERECqsbJgNxcXHExsZiGAbx8fHExcVZ/128eJFVq1bh4+NzRwFERUXx3XffMX/+fBYvXozFYmHJkiVMmDCBXr168ccff+Du7s68efOAjKceu7u788cff9CrVy8mTJgAwJEjR1iyZAlLlixh2rRpjBw5EovFgsViYdSoUUybNo0lS5awePFijhw5ApAvfYiIiIiIFFY3TAYaNmzIAw88gMlkol27djRq1Mj6r3Hjxrz99ts89dRTdxyExWIhOTmZtLQ0kpOT8fX1ZdOmTbRq1QqATp06ER4eDsDKlSvp1KkTAK1atWLjxo0YhkF4eDjt2rXD0dGR0qVLU7ZsWSIiIoiIiKBs2bKULl0aR0dH2rVrR3h4OIZh5HkfIiIiIiKF2Q0nEH/33XcYhkHPnj357LPP8PDwsG5zcHCgRIkS+Pv731EA/v7+PPvsszRv3pwiRYrQuHFjqlWrhru7O/b2GeEFBAQQFRUFZNxJKF68eEbw9va4ubkRGxtLVFQUtWrVytJuZp2AgIAs5REREcTGxuZ5HyIiIiIihdkNk4H69esDEB4eTokSJTCZTHc9gPj4eMLDwwkPD8fNzY1XXnkly1j8e5nZbMLT07mgw7in6HiKFH76OxURKTyumwzs3buXKlWqYGdnZ50ncD3VqlW77QA2bNhAqVKl8Pb2BqBly5bs2LGDhIQE0tLSsLe3JzIy0noHwt/fn3PnzhEQEEBaWhqJiYl4eXnh7+9PZGSktd2oqChrnZzKvby88ryPm7FYDOLikm730AHg6+t2R/XvNXd6POXu0bkp16O/UxGR/He9/5evO2egc+fOxMbGWr/v0qULnTt3zvavS5cudxRYiRIl2L17N1euXMEwDDZu3EiFChVo0KABy5YtAyAsLIyQkBAAQkJCCAsLA2DZsmU0bNgQk8lESEgIS5YsISUlhVOnTnH8+HFq1qxJjRo1OH78OKdOnSIlJYUlS5YQEhKCyWTK8z5ERERERAqz694ZCA8Pt35an5eTYWvVqkWrVq3o1KkT9vb2VKlShSeeeIKHHnqIQYMGMWnSJKpUqULXrl0B6NKlC4MHDyY0NBQPDw8mTpwIQMWKFWnTpg1t27bFbDYzfPhwzGYzAMOHD6dPnz5YLBY6d+5MxYoVARg8eHCe9yEiIiIiUliZDMMwCjoIW5Waarkrw4SWbr10lyL6b2tbz5WYmMSCDkP+n87Nf7St58qF8B8LOoxCwadFN/2diogUgOsNE7rhBOJrpaSkcPjwYS5cuMC/84dmzZrdWXQiIiIiIpLvcpUMrF+/njfeeIMLFy5k22Yymdi/f/9dD0xERERERPJWrpKBUaNG8dBDD9GvXz+KFSuWJ0uMioiIiIhI/spVMhAdHc2LL75IyZIl8zoeERERERHJJ9ddWvRazZs3Z8eOHXkdi4iIiIiI5KNc3RkYOXIkr7/+Onv37qVixYo4ODhk2d6xY8e8iE1ERERERPJQrpKBtWvXsnHjRlavXo2Tk1OWbSaTScmAiIiIiMh/UK6SgfHjx/P000/Tv39/nJ2d8zomERERERHJB7maM5CQkMCTTz6pREBERERE5B6Sq2SgVatWbNiwIa9jERERERGRfJSrYUKlSpVi4sSJbN26lUqVKmWbQNy7d+88CU5ERERERPJOrpKB+fPn4+Liws6dO9m5c2eWbSaTScmAiIiIiMh/UK6SgZUrV+Z1HCIiIiIiks9yNWdARG5ux45tjBz5Fjt2bCvoUERERERy5bp3BsaMGcOrr76Ks7MzY8aMuWEjb7/99l0PTOS/Zu7c2Rw79jfJyVcIDq5b0OGIiIiI3NR1k4GDBw+SlpZm/V4Kl/feG8mGDevw9S1Gv3d/zLb9r+2r+G3el5hMdtiZzXR65jXKVapt3Z6cdIkP3uxKjboP0bnnmwBMGfc/EuLPY7FYKFepNl16vYmdnTlb20f2bSPs+4+wWNJwdfPkf29/DcDq32ezadVCDMOgUfNONGv9lLXOmuU/sv6PnzHZmaka1IRHnnwlW7v7d28gbNYEjHQLDR7qyMOPZMxFuRB9hu8+H0pSYjyl7q/C0y+Nxt7egbTUFH74ajinj+3H2c2DmlM/pUgRjzs7sHfgypXkLF9FRERECrvrJgOzZs3K8XspHNq27UDnzk/wwQcjc9weWK0+1YObYTKZOHvyMDM/e5OhHy6wbl8670vKV66dpU7P/h9Q1NkVwzCY8ekb7Nq8guBGrbLsc+VyIvNmfMALb3yGV7HiJMZfBODcqSNsWrWQQSNnYrZ3YMr4/lQNehDfgNIc3reVPdtXM/i9H7F3cLTWuVZ6uoX5Mz/gxSFf4Ontz8Th3alepxkBJcux6MdPadb6aYIbteLn6e+xedVCGj/clU2rFuLk4s5bH//Cjo3LmDBhAm+9NfpOD62IiIiIzbijOQPHjx+nS5cudysWuQVBQcG4u7tfd3uRos6YTCYAUq5egf//HuDUsf1cSrhIpRoNs9Qp6uwKQLoljbS0VGv9a23f8Bs164XgVaw4AG4e3gBEnT1G2fLVcSzihNlsT4XKwURsy5h4vn7FPFp06IW9g2OWOtc6eXQvxfxLU8yvFPb2DtRu2JI921dhGAZH9m2lVv0WANR/sD1/bV8FwJ4dq6n/YHsAatVvwcaNGzEM4yZHTkREREQy5Wo1oetJTk5m7969dysWucsitq5kyc+TuZQQy/OvfwJAeno6v/wwkWdeGs2hvZuz1flq3MucPLqXKrUesF6AXysm8iQWSxqTx/TlavJlmrZ6knoPtqd4qQosnfsFlxPjcHAswr7d6yl9f1Vrnb8P7mTp3M9xcCjCI08OpEz5alnajYuNxtPb3/qzh7c/J4/u4fKlOJyc3TCb7f+/3I/42BgA4mNjrHXMZnvc3NyIj4/H09Pzzg+eiIiIiA24o2RACrea9UKoWS+Eowd2sHTel/Qb+iXrV8ylSlBjPH38c6zz4pufk5pyle+/fJvDe7dmu3uQnm7h9LH9vDT0K1JTk/lkRG/KVqiBf8n7CWnfk6/GvYxjESdKlg3Ezs7OWifpUgIDR8zk5N97mTl5CG9//GuOdx7ulI+PC97ebne93dwwm03Wr76+BRNDJktqGhfjrhRoDCIiIlL4KRmwAeUrB3Mh+gyXEmM5fiSCvw/uZP2KuaQkJ5GWloZjESc6dBtg3d/BsQjVg5uxZ8fqbMmAh5cfzjU9KFLUiSJFnShfOZizJw/hV7wsDR/qSMOHOgKw5KfJeHj7AeDp5UfNes0xmUyULV8dk8nE5cQ4XN29rO16evkRdzHK+nP8xSg8vHxxcfXkSlIiFksaZrM98Rej8fDy/f9YfIm7GIWnjz8WSxqJiYmk71jGhTxIMnIj/Uqi9euF8OyTuvOTT4tuBdq/iIiI/DcoGbhHxUSeoph/KUwmE6eO7ceSloKLqyfd+4217rNlza+cOrafDt0GcDU5ieQrl/Hw8sViSWPfrnVZVh/KVKPOQ8yfOQ6LJQ1LWionju6xrhqUGH8RNw9vYs+fI2LbSgaOmAlA9boPcWTfNipWrUf0uRNY0tJwcfPM0m7pclWJiTzFhegzeHj7sXPTcp7pNxaTyUSFqnXZvSWc4Eat2LJ2MdWDm2W0G9yMLWsXc1/FmuzeEk7Dhg3z5G6D3JqbrXS1ff1SwhfPBMOgiJMLXXoNpWTZQOD6K1KdOXGIud++R0pyEl6+Jej+0hjrHJdrjRrYnqJFnTHZmbEzm3lt9PcA/Dp7Ent3rsFs70Axv1I82XcETi4Zd29W/Dqdzat+wWRn5rEer1O55gPZ2s3tilY9//cB3r4lsrXrNuYdqt6dwysiInJX3TAZ6NChww0rX7169a4GI7n37rvD2LVrO/Hx8Yzo34bWnV/AYslYCrZxiy5EbA1n67olmM32ODgWocf/3r/hhXLK1St88/GrpKWlYBgGFarU5YEWnQFYHz7P2q5/yfupXPMBPhzaDZOdHQ0f6kjx0hUA+PaTwSRdisdsb0/nnkOsF1sNmj3Kj1NHMm7I45jN9jz1wghMJhPxsTH8NG00fQd/itlsT+eebzBl/P9IT7fQoNmjFC9VHoD23QYwa/Iwfpv7BSXvq2S9+9Cg2aP88NU7jH31UZxdPZg+9RM4tD5Pjrfk3s1WuvL2Lcn/3v4aZxd39u9ez8/TxzBo5Hc3XJHqp2mjeeSpgVSoUofNq39h5ZLvaNu1X47t93trCq5uXlnKAms0oN0T/8NstmfRj5+yYtG3dOg2gMgzf7Nz03LeHDeX+NgYvvzgJYZNCMu2pG5uV7Ra9OOn9Oz/QbZ2R458mdlvPovZTs95FBGRwuWGyUCrVq1utFkK0MiR7wHg6+vG0q2Xsm1v0aEXLTr0umEb9Zs+Qv2mjwDg5uHDq6NzXkK2cYusK0aFtO9BSPse2fYbMPybHOvb2zvwTL/sD67z8PKl7+BPrT9XDWpC1aAm2fYr5leKQaO+y1bu4FiEXgPGW38uXdqVC4dyDEHyUVBQMOfOnb3u9vsDa1m/L1uhBvEXo4GsK1IB1hWpWrTvSUzkCcpXDgYgsHoDpoz733WTgZxUrtHonz7LV2f31nAA9mxfRe2GLbF3cMTHryTF/Etz8uhe7qtY07p/5opW3V/OuKtW/8H2/L5gCo0f7sqeHatp/dgLQMaKVgtmjsMwjGztli1bln3Hz1CjXOlcxywiIpIfbpgM/O9//8uvOETEBm1etdA6LOdGK1IFlCrPnu2rqFG3Obs3r8gyv+RaJpOJrz54GZPJRKOQzjwQ8lj2Ptf8Su0GLYGMFanKlq9h3ebp7U9cbHSW/W9lRauizq5cvhSXrV1/f39i4hJu6xiJiIjkJc0ZELlLijo6ZvkqN3Z431Y2rf6FAe9k3FG60YpU3Z4fzoLvPmT5wmlUC26G2d4hxzb7v/MNnt5+JMZf5Ktx/fAvcZ/1jgLAH798g9nOTJ3GbfL+BYqIiPwHKBmwYbEXIpn91fCMJwKbTFkmbK5Z/iPr//gZk52ZqkFNeOTJV7LUjT57nJmTh1p/vhB9hjZdXrTWB/hz6Sx+nT2J0V+uwNXNi91bwvlt/lc4u7jz3KCPcHHz5HzUKZb8/Dk9+3+QPy86Dz3RtA6LNkXQoWHNm+9s486ePPz/80U+yzKZ/HorUvmXuJ+XhnwBQPS5E+zftS7Hdj3/f383D29q1GnOyaN7rMnAljW/snfnWvoN/dI6fyZjRapIa/24i1F4evllafNWVrRKTrqEi6tntnajoqLwvb/y7R4uERGRPKPZbDbMzs7MI08NYsj4eQwcMYP1K+YSeeZvDu/byp7tqxn83o8MGTeX5m27Z6vrV+I+Br83h8HvzeG1Md/jWKQoNeo2t26PvRDJwb824eUTYC1bu/wnXh31HQ+EdGb7xt8BWDr3y1sa+12YBVcow7vPtCe4QpmCDqVQiz1/jm8nvc7TL47Gr3jZLNsS4y9a94nYtpI6D7TJUp6ens4fv3xjndx+ravJV0i+ctn6/cE9mwgolTG5ff/uDaxc/B19Xp1onZMAUC24GTs3LSctNYUL0WeIiTyV7YF4165oBeS4ohXA7i3hVKhaD5PJlK3d48ePU/W+knd24ERERPKA7gzYMA8vX+snnEWdXPAvcT/xF6PZ+GcYLTr0wt4hY7iLm4f3Dds5tHcLPn6l8C5W3Fq28PuP6dDtFb6Z+Kq1zGRnIi0tlZSUZMxme44e2Imbpw++Abp4vpfcbKWrZWFfc/lSPPNmZNwNunYJ0OutSLVj4++sXzEXgBp1m1snvl+7IlViwgW+nfQ6ABaLhToPtKZKrYz5CAtmjiMtLZUvP8hIPMtWqMHjzw6jeKnyBDUI5YM3u2BnZ0+XXm9aVxKa+uEAnujzDh5evrle0ar7/zIm9v+73bGjhmNOO5enx11EROR2mAzDMAo6CFuVmmohLi7pjtq43mpCt+pizFk+G9OHN9//mc/GPE/1Os04ELEBB4ciPPLkwGyfll5rztSRlLqvMg+2fAKAv7av4vDerTzWYzCjBrbn1dGzcHXz4uBfm1j802e4e/nyzEujmfHpm/T43/u4uHrccfwAbeu5FvjDvgoLnxbdiIlJLNAY7ta5eS/QufmPwnBuiojYIl9ftxzLc31nIC0tjYiICM6dO0dqamqWbR07dryj4KRgXU1O4ttPBtPpmdcp6uxKerqFpEsJDBwxk5N/72Xm5CG8/fGvOT6nIC0tlb07VtP+iYyVp1KuXmHFr9N58c3Ps+1bqUZD6xONt65dTNWgJsREnuTnJbNwdnGjU/fXswzhEBEREZG8latk4OjRo7z00kucPn0awzAwm82kpaVhb2+Po6OjkoH/MEtaKt9+Mpg6D7ShZr0QADy9/KhZrzkmk4my5atjMpm4nBiHq7tXtvr7d6+n5H2VcfPwAeB89Gkuxpzlw2FPAhB/MZqP3n6aQSO/w92zGJCRMGxZu4gX35jM1x8NpPcrE9i9ZQXbN/xGo+bZl4IUERERkbyRqwnE7733HtWqVWPbtm0ULVqUpUuXMn/+fKpUqcJnn32W1zFKHjEMgx+njca/xP081PYZa3n1ug9xZN82IGPlFktaWpYVX661c+Myghu1tv5conRFRn+xguGTFjN80mI8vP14bcwP1kQAYOWSWTRt2Q2zvQOpKVcxmcBkZ0fK1eS8eaEiIiIikqNc3RnYs2cPs2bNwtnZGTs7O9LS0qhWrRqDBw9m9OjRLFq0KK/jlDxw7NAutq1bQvHSFayf5Ld7/GUaNHuUH6eOZNyQxzGb7XnqhRGYTKYskzUhc8WWzXR9dliu+4yPjeHk0T20fqwvAA+2fIKPh/fAydmN5wZ9dPdfpPwnXW/Z29/nT2HTqjBc3DLuUrV7/OUcn1q96rcf2LRqISaTieKlKvBk33dxcCyCYRgsnfsFu7eswGRnR+MWXWja6sl7ftlbERGR68lVMmAYBk5OGWO5vb29iYqKoly5cgQEBHDy5Mk8DVDyTrlKtZn4/fYctz3Tb0y2Mg8vX2siAFCkqBNjv1p5wz6GT1p8wzaCGoQS1CD0VsIWG5C57G3p+6uQfOUyH7/zjHW+SbPWT9G8XY/r1o27GM3a5T/y5ri5ODoWZcanb7Jz0zLqN32ELWsWEXcxiiHj52NnZ2ddsjRz2duIrX+yfePvNG3Z7Z5a9lZEROR6cpUMVKxYkQMHDlC6dGlq1qzJtGnTMJvN/Pzzz5Qpo2UhReTuut6yt7mVbrGQmnIVs9me1JRk3P+/rQ3h83im31jrk40zl83VsrciImKrcpUMvPjii1y5cgWAgQMH0rdvX3r06IGXlxeTJk3Ky/hExMZdjDnL6RMHKFu+OscO7WbtHz+zdd0SSt9flUefHoSzi3uW/T29/Xio7TOMeqUdDo5FqFSjIZVrNAIyJrjv2ryciG1/4urmxWM9BuMbUIaHO/Tmy/dfyrbsrYiIyL0uV8nAgw8+aP2+dOnS/Pbbb8TFxeHh4ZHjcpMiInfDv5e9bfxwF1p26gOY+G3el/zyw0Se7PtuljpJlxPYs2M170xchJOzKzM+e5Nt65ZSt0lb0lJTsHdw5LXR3xOxdSVzpo5kwPBvtOytiIjYrFytJpQTT09PJQIikmdyWvbWzcMHOzszdnZ2NGreiZN/781W79Cezfj4lsTV3QuzvQM164Zw/PBuIOOuQc26GW3VqNucc6cOZ6mbuextk4e78vv8r3jqhZHcHxjE9g2/5fGrFRERKRi5ujOQkpLC7Nmz2bRpExcvXiQ9PT3L9nnz5uVJcCJim6637G18bIx1LkHEtj8pXqp8trpePgEcP/IXKVev4OBYlEN7t1C6XFUAqtd5iCP7t+HjV5Kj+7fjG1A2S93rLnubpGVvRUTk3pSrZODtt99m1apVtGjRggoVKuiOgIjkqeste7tj4zLOnjgIJhPexUpYl7W9dtnbshVqUKt+Cz56+2nszPaULFuJB/7/YXYPd+jNrC/eYvVvP+BY1Jkn+rxj7VPL3oqIiC0yGYZh3GynunXr8sUXX1C/fv38iMlmpKZaiItLuqM2fH3dWLr10l2K6L+tbT1XLoT/WNBhFAo+LboRE5NYoDHo3PyHzs1/FIZzU0TEFvn6uuVYnqs5Az4+Pnh5ed3VgEREREREpGDlKhkYNGgQH3/8MfHx8Xkdj4iIiIiI5JNczRlo0qQJP/30Ew888ADFihXD3j5rtfDw8DwJTkRERERE8k6ukoE33niDI0eO0KNHD4oVK6YJxCIiIiIi94BcJQMbNmxg5syZ1KpVK6/jERERERGRfJKrOQPFixfH0dExr2MREREREZF8lKtkYOjQoXz44YecOHEir+MREREREZF8kqthQq+88gqpqam0bt0aR0dHzGZzlu07duzIk+BERERERCTv5CoZGD58eF7HISIiIiIi+SxXyUCnTp3yOg4REREREclnuZozAJCSksK8efMYN24c48aNY8GCBaSkpNyVIBISEhgwYACtW7emTZs27Ny5k7i4OHr37k3Lli3p3bu39YFnhmEwZswYQkND6dChA3v37rW2ExYWRsuWLWnZsiVhYWHW8j179tChQwdCQ0MZM2YMhmEA5EsfIiIiIiKFVa6SgSNHjtCyZUs++OADdu/eze7du3nvvfdo1aoVR48eveMgxo4dy4MPPsjvv//OL7/8Qvny5Zk6dSqNGjVi+fLlNGrUiKlTpwKwZs0ajh8/zvLlyxk9ejQjRowAMi7sJ0+ezM8//8zcuXOZPHmy9eJ+xIgRjB49muXLl3P8+HHWrFkDkC99iIiIiIgUVrlKBsaOHUuVKlVYtWoVs2fPZvbs2axatYpKlSrx3nvv3VEAiYmJbN26lS5dugDg6OiIu7s74eHhdOzYEYCOHTuyYsUKAGu5yWQiKCiIhIQEoqOjWbduHY0bN8bT0xMPDw8aN27M2rVriY6O5tKlSwQFBWEymejYsaP1icn50YeIiIiISGGVqzkDO3bsYN68ebi6ulrLXF1dGTRoEE888cQdBXD69Gm8vb0ZOnQoBw4coFq1arz11ltcuHABPz8/AHx9fblw4QIAUVFRBAQEWOsHBAQQFRWVrdzf3z/H8sz9gXzpQ0RERESksMpVMlCkSBESEhKylScmJlKkSJE7CiAtLY19+/bxzjvvUKtWLcaMGWMdrpPJZDJhMpnuqJ+byY8+/s1sNuHp6ZyvfYrt0LklhZXOTRGRwiNXyUDz5s155513GD16NEFBQQDs3LmTd999l5CQkDsKICAggICAAGrVqgVA69atmTp1Kj4+PkRHR+Pn50d0dDTe3t5AxqfxkZGR1vqRkZH4+/vj7+/Pli1brOVRUVHUr1//uvsD+dLHjVgsBnFxSbd0vP7N19ftjurLvetOz607pXNTrqegz00REVt0vf+XczVn4K233qJs2bI8/fTT1KxZk5o1a9K9e3fuu+8+hg0bdoeB+RIQEMDff/8NwMaNGylfvjwhISEsXLgQgIULF9KiRQsAa7lhGOzatQs3Nzf8/Pxo0qQJ69atIz4+nvj4eNatW0eTJk3w8/PD1dWVXbt2YRhGjm3lZR8iIiIiIoVVru4MuLu78+WXX3LixAnr6kHly5enbNmydyWId955h9dff53U1FRKly7N+++/T3p6OgMHDmTevHmUKFGCSZMmAdCsWTNWr15NaGgoTk5O1gnMnp6e9OvXzzoR+eWXX8bT0xOAd999l6FDh5KcnEzTpk1p2rQpAH379s3zPkRERERECiuTcRsL4qelpXH16lVcXFzyIiabkZpquSvDhJZuvXSXIvpva1vPlQvhPxZ0GIWCT4tuxMQkFmgMOjf/oXPzH4Xh3BQRsUW3NUxo48aNLF26NEvZ1KlTqV27NvXq1eO5557LcWKxiIiIiIgUfjdMBqZOnZplicyIiAg+/vhjHn30UQYPHszBgwf58ssv8zxIERERERG5+26YDBw6dIh69epZf/7tt9+oXbs2Y8aMoXfv3rz11lusXLkyz4MUEREREZG774bJQEJCAj4+Ptafd+7cyYMPPmj9uUaNGkRHR+dddCIiIiIikmdumAz4+vpy8uRJAFJSUti3bx+1a9e2br98+TKOjo55G6GIiIiIiOSJGyYDTZs25cMPP2Tjxo18+OGHODk5UadOHev2gwcPUqZMmTwPUkRERERE7r4bJgMDBgygSJEi9O7dm/nz5zNmzJgsdwLmz5/PAw88kOdBioiIiIjI3XfDh455e3vzww8/kJiYiLOzM2azOcv2Tz75BGdn5zwNUERERERE8kaunkDs5pbzQwoyn74rIiIiIiL/PTccJiQiIiIiIvcuJQMiIiIiIjZKyYCIiIiIiI1SMiAiIiIiYqNyNYFYRETunp9WbuTX9TsAg0ca1+GJkEZMW/wnv67fjpebCwAvPNKCB6oHWutEXozj6dGf81zbh3gqtHG2Ng3DYMqv4fy5cx92JhOdmtbj8eYNWbYlgu+Xr8PAwLlIEQY/2Z6KpQIA2LT3MJPm/obFMOjwQDA9Wj2Yrd2U1DRGz1zAgVPn8HBxYvRzXSnu4wXAd7+vYdHGnZhNJgY+3paGVSvkul0RESkclAyIiOSjo2ej+HX9Dr5583nszWZenfw9jf//or9bSKMcL/QBPp2/zHqxnZMlm3YRHZvAnOH/w87OjouJlwAo4ePJ56/2xt3ZiY17DzNu9q9Me6MvlvR0Jvy0hE8G9MDP053nxk3lwZqVuL+4X5Z2F23YgZuzE3NHvsIf2/7ii7A/GN3ncY6di2bF9j388PbLnI9PZMCnM/lpxACAXLUrIiKFg4YJiYjkoxOR56l2X0mKOjpibzZTu2JZVu3af8M6q3ftp4SP5w0vqMPWbOXZts2ws8t4W/d2cwWgRvkyuDs7AVDt/lJExyYAsO/4GUr5elOymDcO9vY8XKc6a3cfyNbu2ogDtGkYBEDz2lXZdvAYhmGwdvcBHq5THUcHe0oU86KUrzf7jp/JdbsiIlI4KBkQEclH5Yr7sfvoSeIvJZGcksKGvYeJjo0HYN7qLXQf8wVjZy0kIekKAEnJV/n+j3U82/ahG7Z75vxFVmzfw7MfTOHVybM4FX0h2z6L1++gUbWKAMTEJeDv5WHd5uvlQUx8YrY6MXGJ+Hu5A2BvNuPiVIT4y0nExCfid019P093YuISct2uiIgUDkoGRETy0X3FfXkmtDEDP/uOQZO/J7BUAHZ2djzWtB5zR73CzGEv4uPuymfzlwHwzZJVdAtphHPRIjdsNzXNgqODPdOHvMAjjevw3qyFWbZvP3iMRRt20K9jaF69NBER+Q/SnAERkXzWoXEdOjSuA8BXv6zA19Mdb3dX6/ZHm9Th9S9mA7Dv+Gn+3LmPz8P+4NKVZEwmE44O9nR5qEGWNn093XkoqCoAzYKqMPaaZODI6Uje/+EXPn75GTxcna37R/3/HQmAmNh4fD2yP23e19ONqNgE/Lw8SLNYuHzlKh4uzvh6uFnvaABExyXg65lxByE37YqISOGgOwMiIvksc3Jv5MU4Vu3aT8t6NTh/zVCa1bv2U65ExvyAL197jgVjBrFgzCAeb96Qnq0ezJYIADStVZkdh44BsPPwcUr7+Vj7GPr1T7zb8zHK+Bez7l+lbAlOR1/k7PlYUtPSWLF9D01qVs7W7oM1K/Hbpl0A/LlzH3Uq3Y/JZKJJzcqs2L6HlNQ0zp6P5XT0RareVzLX7YqISOGgOwMiIvnsrak/EX/5CvZmO15/oh1uzk58PGM+h09HYsJEcR9P3niqw03bee3z7xny9CP4errTvWUTRnw7nx9XbsSpiCNDn3kUgG+XribhUhITfloCgNnOjulDXshYyeiJtgyaPAtLejrtG9W2JiBfL1pJ5bIleLBmZdo/EMyoGQvo+u4nuDs7Meq5LgCUK+FHSHA1nho9GXs7O17r1g7z/09evl67IiJS+JgMwzAKOghblZpqIS4u6Y7a8PV1Y+nWS3cpov+2tvVcuRD+Y0GHUSj4tOhGTEzBTtrUufkPnZv/KAznpoiILfL1zXnIpoYJiYiIiIjYKCUDIiIiIiI2SnMGREQKubGzFrL+r0N4ubnwwzsvA3D4dCTj5yziytUUint7MqJ3Z1ycimaru2nvYSbN/Q2LYdDhgWB6tHoQgLPnYxk+fS7xl69QuXRxhvd6DAd7e+b+uYmF67YT4O3BBy90w8Hent1HTrBq1z5e6dImX1+3iIjkPd0ZEBEp5No2DGLi/57JUvb+97/Q79FQvn/7ZZoFVeGHFeuz1bOkpzPhpyV89L9nmP3Oy6zY9hfHzkUD8MXCP3gipBFzR76Cm7MTizbsAGD51r+Y9dZLVC9Xms37jmIYBt/+tprebZrl/QsVEZF8p2RARKSQq13xPtxdnLKUnYq+QFDFsgDUq1yeVTv3Z6u37/gZSvl6U7KYNw729jxcpzprdx/AMAy2HzxG89oZzyVo0zCINbsPAGBgkGZJ52pKKvZmO37fEkGjahVxd3HO41cpIiIFQcmAiMh/0P3F/awX8Ct37s3yALBMMXEJ+Ht5WH/29fIgJj6R+MtJuDoXxd5sBsDP052YuIwVfjo3a8DzH35N5MV4apQvw5KNO+ncrH4+vCIRESkImjMgIvIfNKz7o0z8+Tdm/LaaJjUrYW9vvivttmlQizYNagEwfekquj7UgI17D/Pb5t34e7nT/7FW2NnpcyQRkXuF3tFFRP6D7gvw5ZMBPfh26IuE1q1ByWLe2fbx9XQn6po7BjGx8fh6uOHh4sylpGTSLBYAouMS8PXMuv50TFwC+46foVlQFeas2MDo57ri6lSUbQeP5e0LExGRfKVkQETkP+hiYsYD3dLT05nx2xo6PVg32z5VypbgdPRFzp6PJTUtjRXb99CkZmVMJhPBgffx5859APy2aRcP1qycpe7Xi1byfPvmAFxNTcME2JlMJKek5u0LExGRfKVhQiIihdzw6XPZeeg4cZeSeHTYR/Rp9xBJV1NYsGYrAM2CqtCuUW0g4xP9D374lY9efgZ7s5lXn2jLoMmzsKSn075RbcqV8AOgX6dQhn8zj6mLVhJYKoAODwRb+zt46hwAlcqUAKBlvRp0H/sFfl4ePB3aJD9fuoiI5DGTYRhGQQdhq1JTLcTFJd1RG76+bizdeukuRfTf1raeKxfCfyzoMAoFnxbdiIlJLNAYdG7+Q+fmPwrDuSkiYot8fd1yLNcwIRERERERG6VkQERERETERikZEBERERGxUUoGRERERERslJIBEREREREbpWRARERERMRGKRkQEREREbFRSgZERERERGyUkgERERERERulZEBERERExEYpGRARERERsVFKBkREREREbJSSARERERERG6VkQERERETERikZEBERERGxUfYFHYDI3XYi6jzDv5lr/fnM+Vieb98cX093vlnyJ8cjzzPtjeepUrYkAKlpaYybvYgDJ89iZzIxsGsbggPvz9butMV/8uv67Xi5uQDwwiMteKB64A3rHzh5ljHfhXE1NY1G1SoyqGsbTCZTlnYNw2Di3N/YuPcwRR0ceLtHRyqVKQHA0k27mPHbagB6tWlG24ZBuW5XRERE5GaUDMg9p6x/MWYOewkAS3o6jw77iKa1qnA1JZX3+nZj/OxFWfb/df12AL5/+2UuJl7itcnf882bfbGzy37jrFtII54KbZzr+h/OWcyQpx+h2n2leO3z79m07wiNqlXMUn/j3sOcjr7AzyMGsPf4aT78cTHT3uhLwuUkpi9ZxfQhfcFk4tn3p9CkZiXcnZ1y1a6IiIjIzWiYkNzTth34m5LFvCju48l9xX0p618s2z7HzsVQp1I5ALzdXHF1LsqBk2dz3cf16p+PT+Ry8lWq318ak8lE6wZBrNm9P1v9tREHaN0gCJPJRPX7S3MpKZnz8Yls2neUelXK4e7ijLuzE/WqlGPT3iO5bldERETkZpQMyD1txfY9hNatccN9KpQKYF3EAdIsFs6ej+XgyXNExSbkuO+81VvoPuYLxs5aSELSlRvWj4lLwM/T3VrXz8udmLjEbG3GxCXi7/XPfr5e7sTEJXA+LgE/L49/6nu6cz4u9+2KiIiI3EyhSQYsFgsdO3bkhRdeAODUqVN07dqV0NBQBg4cSEpKCgApKSkMHDiQ0NBQunbtyunTp61tTJkyhdDQUFq1asXatWut5WvWrKFVq1aEhoYydepUa3l+9CEFJzUtjXURBwkJrnbD/do3qo2flzvPjZvKpHm/UaNcaexyGH//WNN6zB31CjOHvYiPuyufzV92S/VFRERECptCkwx89913lC9f3vrzhAkT6NWrF3/88Qfu7u7MmzcPgLlz5+Lu7s4ff/xBr169mDBhAgBHjhxhyZIlLFmyhGnTpjFy5EgsFgsWi4VRo0Yxbdo0lixZwuLFizly5Ei+9SEFZ+PeIwSWLo63u+sN97M3m3mlSxtmDnuJ8S8+RWJSMmX8fbLt5+3uitnODjs7Ox5tUod9x8/csL6vpzvRcf/cYYiOTcDX0y1bu76eblnuRMTEJuDr6U4xT3eiY+P/qR+XQDFP91y3KyIiInIzhSIZiIyMZNWqVXTp0gXIWF1l06ZNtGrVCoBOnToRHh4OwMqVK+nUqRMArVq1YuPGjRiGQXh4OO3atcPR0ZHSpUtTtmxZIiIiiIiIoGzZspQuXRpHR0fatWtHeHh4vvQhBeuPbX8RWu/GQ4QAklNSuHI1467Qlv1HMZvtuL+4X7b9zsf/MxRn9a79lCvhd8P6xTzccClahD3HTmEYBr9v3sWDNStna7dJjcr8vnkXhmGw59gpXJyKUszDjYZVy7Nl/1ESkq6QkHSFLfuP0rBq+Vy3KyIiInIzhWI1offee4/Bgwdz+fJlAGJjY3F3d8fePiO8gIAAoqKiAIiKiqJ48eIA2Nvb4+bmRmxsLFFRUdSqVcvapr+/v7VOQEBAlvKIiIh86eNmzGYTnp7Ot3KoJJeuXE1h64GjvPlUB2vZ6l37+fjnpcRduszrX/xAxVIBTOrfg9jEywz6bBYmkwlfT3eG93zMWuf973+h44N1qVK2JJ+HLefw6UhMmCju48kb/9/2jeq/3q0dY75byNXUVBpVq2hd8SdszVYAOjWtxwPVK7Jx7yG6vvsJRR0deKt7RwDcXZzp3aYZz43LGHbWu+1DuLs437Dda+ncksJK56aISOFR4MnAn3/+ibe3N9WrV2fz5s0FHU6+slgM4uKS7qgNX18ND8mJUxFHfv9wSJayZkFVaBZUJdu+xX28+HHEgBzbGfrMo9bv3+3VOcd9blS/StmS/PDOy9nKOzWtZ/3eZDLxerf2OdZv/0Aw7R8IznW717rTc+tO6dyU6ynoc7Mw2LFjG4sWhdGhQyeCg+sWdDgiYgOu9/9ygScDO3bsYOXKlaxZs4arV69y6dIlxo4dS0JCAmlpadjb2xMZGYm/vz+Q8an7uXPnCAgIIC0tjcTERLy8vPD39ycyMtLablRUlLVOTuVeXl553oeIiEhO5s6dzbFjf5OcfEXJgIgUqAKfM/Daa6+xZs0aVq5cyccff0zDhg356KOPaNCgAcuWZazWEhYWRkhICAAhISGEhYUBsGzZMho2bIjJZCIkJIQlS5aQkpLCqVOnOH78ODVr1qRGjRocP36cU6dOkZKSwpIlSwgJCcFkMuV5HyIiIjm5ciU5y1cRkYJS4HcGrmfw4MEMGjSISZMmUaVKFbp27QpAly5dGDx4MKGhoXh4eDBx4kQAKlasSJs2bWjbti1ms5nhw4djNpsBGD58OH369MFisdC5c2cqVqyYb32IiIiIiBRWJsMwjIIOwlalplruypyBpVsv3aWI/tva1nPlQviPt1V37KyFrP/rEF5uLtnG4s9esZ7JC5azdPwbeLq6ZNl27kIcQ6f+iGEYpFksdGnWgE5N65GcksJbX//MmfOxmO1MNK5RiX4dQwGY++cmFq7bToC3Bx+80A0He3t2HznBql37eKVLm9t78f/i06IbMTEF+yAynZv/uJNz815TGM7NwmDgwH5ERp4lIKAEkyZ9UdDhiIgNKLRzBkQKg7YNg+jSrD6jZoZlKY+6GM+W/Ufx9/bIsV4xD1emvt4HRwd7kpKv8syYL2hSsxJuzkV56uHG1Kl0P6lpaQz4ZCYb9x6mUbWKLN/6F7PeeomZy9ayed9RGtcI5NvfVjPq2S758VJFbJ6nlwsO9gU7StZsNlm/FuRk+9S0dOJiLxdY/yJS8JQMiAC1K97HuQux2co/mf87L3dqyZtfzcmxnoP9P39CqWkWMm+0FXV0pE6l+637BJYubn2AmIFBmiWdqymp2Jvt+H1LBI2qVbQuGyoiecvB3q7A71olXTWsXwsylrb1bvxQRhG59xX4BGKRwmrN7gP4erhRsVTADfeLuhhP9zFf0PGtj3mmZWN8Pd2zbE9MusL6vw5Rt3I5ADo3a8DzH35N5MV4apQvw5KNO+ncrH6evQ4RERGR69GdAZEcJKek8N2yNUzq3+Om+/p7ezDr7X7ExCUwZMqPNK9dDW/3jE/b0iwW3p0+j67NG1CymDcAbRrUok2DjIfXTV+6iq4PNWDj3sP8tnk3/l7u9H+sFXZ2ytNF7mUORZyyfBURKSi64hDJwZmYWM6ej6PH2C957O2JxMQl0Pv9KVyIv/7ER19Pd8qV8GPXkRPWsnGzF1HKz4cnQhpl2z8mLoF9x8/QLKgKc1ZsYPRzXXF1Ksq2g8fy5DWJSOHROPQpSperTuPQpwo6FBGxcbozIJKD8iX9WTr+DevPj709kelD+mZbTSg6Nh4PF2eKODqQkHSFiKMn6fb/F/5Tfg3n8pVkhj79SI59fL1oJc+3bw7A1dQ0TICdyURySmrevCgRKTTKVa5Lucp62JiIFDwlAyLA8Olz2XnoOHGXknh02Ef0afcQHRrXyXHf/SfOsHDtNoY+8yjHI8/z2fxlmExgGPDkww9QvqQ/0bHxzPx9DWX9i9H7gykAdG5Wn0f+v82Dp84BUKlMCQBa1qtB97Ff4OflwdOhTfLhFYuIiIjoOQMFSs8ZuLu0lvs/CsNa7jo3/6Fz8x86NwuXtvVcC/z3ISL543rLGGvOgIiIiIiIjVIyICIiIiJio5QMiIiIiIjYKCUDIiIiIiI2SsmAiIiIiIiNUjIgIiIiImKjlAyIiIiIiNgoJQMiIiIiIjZKyYCIiIiIiI1SMiAiIiIiYqOUDIiIiIiI2CglAyIiIiIiNkrJgIiIiIiIjVIyICIiIiJio5QMiIiIiIjYKCUDIiIiIiI2SsmAiIiIiIiNUjIgIiIiImKjlAyIiIiIiNgoJQMiIiIiIjZKyYCIiIiIiI1SMiAiIiIiYqOUDIiIiIiI2CglAyIiIiIiNkrJgIiIiIiIjVIyICIiIiJio5QMiIiIiIjYKCUDIiIiIiI2SsmAiIiIiIiNUjIgIiIiImKj7As6ABERkYKSmnKVyWOeJy0tBYvFQq36LWjT+UUO7dnCr3MmYRgGRYo68WTfkfgGlObogR2EzZrAuVNH6P6/9wiq/3CO7U4e05eEuPM4OBYB4MU3P8fNw5uw7z/iyL5t/993MokJF3l/6moAtqxZxB+/fANA6KPPUb9ph2ztXr4Uz3eTh3Ix5izeviXo2f8DnF3cMQyDsFkfsn/XehyKFOXJviMofX+VXLdbkHbs2MaiRWF06NCJ4OC6BR2OiM1RMiAiIjbL3sGRfsO+okhRZyxpqXw6+jmq1GrMvBnv89ygj/EveT/r/viZP36ZxlMvjMTLJ4CnXhjJn0tn3bTtZ/qNoUy5qlnKOj3zmvX7Nct/5Mzxg0DGRf6ysK95dfQsTCYTH739DNXrNMPZxT1L/fBFM6hYtR4PP9KbFb9+S/iiGXToNoD9u9cTE3mKYR8t5MTRPcyb8T6DRn6X63YL0ty5szl27G+Sk68oGRApABomJCIiNstkMlGkqDMAFksalrQ0TBlbSL5yCYDkK5fw8PQFwNu3BCXKVMRkMt1x3zs3LiO4USsADkZspFL1Bri4euDs4k6l6g04sHtDtjp7tq+m3oPtAaj3YHv+2rbqn/Im7TCZTNxXoQZXLl8iPjYm1+0WpCtXkrN8FZH8pTsDIiJi09LTLXz09jOcjzpFk9DHKVuhBk/0eYepE17BwaEIRZ1cGDhixi23++PUEZjszNSqF0Joxz5ZEoiL589xIfoMFavVAyA+NhpPH3/rdk9vP+Jjo7O1mZhwAQ+vjMTE3bMYiQkXblA/JtftiojtUjIgIiI2zc7OzOD35nDlciLTJ73GuVNHWP37D/R9/RPKVqjBysXfsfCHj+n2/PBct/lMvzF4evuRfOUy334yGK91S6yf6EPGXYFa9R/Gzs5823GbTCZM3NkdCsNiwdfX7Y7auFNms8n6tSBjsaSmcTHuSoH1L1JQlAyIiIgATi5uVKhal/27N3D25CHKVqgBQO2GoUwZ3/+W2vL09gOgqJMLdR5ozcm/92ZNBjYtp3PPN60/e3j5cWT/duvPcRejqVClTrZ23dx9iI+NwcPLl/jYGFzdva314y5EZanv4eV703ZNZjMXwn+8pdd2t6VfSbR+LchYfFp0K7C+RQqS5gyIiIjNupQQy5XLGRejKSnJHPxrM/4l7yM56RLR504AcHDPZvxL3p/rNi2WNC4lxmZ8n5bK3p3rCChV3ro96uwxki4ncF/FmtaySjUbcXDPJpIuJ5B0OYGDezZRqWajbG1XD27K1rWLAdi6djHV6zQDoFpwU7auW4JhGBw/8hdOzq54ePnmul0RsV26MyAiIjYrIe48s6e8S3q6BcMwCGrwMNVqN+Xx595mxieDMdnZ4eTsTre+GUOETh7dy/RJr3MlKYG9O9fy+/wpDBk3F4APhz3J4PfmkJaaypRx/8NiSSM9PZ3AavVp1LyTtc+dG5dTu2HLLHMIXFw9aNmxDxPf6Q5Ay47P4+LqAcCPX4/igRZdKFOuKi069GLmZ0PYvPoXvIoVp2f/DwCoGtSE/bvXM/a1R3F0LEq3viNu2m5hUdTRMctXEclfJsMwjIIOwlalplqIi0u6ozZ8fd1YuvXSXYrov61tPdcCv91dWPi06EZMTGKBxqBz8x86N/+hc7NwKQzn5o4jJ1m0KYIODWsSXKFMgcVRGM5Nkbx0vTk5ujMgIiIiBSa4QpkCTQJEbJ3mDIiIiIiI2CglAyIiIiIiNkrDhERERG5T9NnjzJw81PrzhegztOnyIs1aP2UtO7JvG99MfBVv35IA1KzXnFad+gKw+vfZbFq1EMMwaNS8k7Xeoh8/Zf/u9ZQsW4mnXxwFwLZ1S7l8KS5L2yIid6rA7wycO3eO7t2707ZtW9q1a8fMmTMBiIuLo3fv3rRs2ZLevXsTHx8PgGEYjBkzhtDQUDp06MDevXutbYWFhdGyZUtatmxJWFiYtXzPnj106NCB0NBQxowZQ+ac6fzoQ0RE7l1+Je5j8HtzGPzeHF4b8z2ORYpSo27zbPuVq1Tbul9mInDu1BE2rVrIoJEzGfzeHPbuXEtM5CmuJCVy+vgB3nj/J8xme86eOkxKSjJb1vxKk4e75vdLFJF7XIEnA2azmSFDhrB06VJ++uknZs+ezZEjR5g6dSqNGjVi+fLlNGrUiKlTpwKwZs0ajh8/zvLlyxk9ejQjRowAMi7sJ0+ezM8//8zcuXOZPHmy9eJ+xIgRjB49muXLl3P8+HHWrFkDkC99iIiIbTi0dws+fqXwLlY8V/tHnT1G2fLVcSzihNlsT4XKwURsW4nJZIclLQ3DMEhNScZstmfVklk82PIJzPYOefwqRMTWFHgy4OfnR7Vq1QBwdXWlXLlyREVFER4eTseOHQHo2LEjK1asALCWm0wmgoKCSEhIIDo6mnXr1tG4cWM8PT3x8PCgcePGrF27lujoaC5dukRQUBAmk4mOHTsSHh6epa287ENERGzDzo3LCW7UKsdtx4/8xYfDujFlfH/OnT4KQPFSFfj74E4uJ8aRcvUK+3avJ+5CFEWdXKgS1JgJbz2Fu2cxijq5cuLonhzvOIiI3KlCNWfg9OnT7N+/n1q1anHhwgX8/DIe5+7r68uFCxcAiIqKIiAgwFonICCAqKiobOX+/v45lmfuD+RLHyIicu9LS0tl747VtH/if9m2lbqvMsMnLaZIUWf27VrH9Imv8dZHC/EveT8h7Xvy1biXcSziRMmygdjZZXxG16J9T1q07wlkPHSsdecX2fRnGAf+2kSJMhVp2bFPvr4+Ebl3FZpk4PLlywwYMIBhw4bh6uqaZZvJZMrypMa8kB99/JvZbMLT0zlf+xTboXNLCqt78dzcv3s9Je+rjJuHT7ZtRZ3/+T+talAT5s34gEuJsbi6edHwoY40fKgjAEt+moyHt1+WuqePHwDAr/h9LPl5Mi+++TlzpowgJvIkvgFam/9uuxfPTZGbKRTJQGpqKgMGDKBDhw60bNkSAB8fH6Kjo/Hz8yM6Ohpvb28g49P4yMhIa93IyEj8/f3x9/dny5Yt1vKoqCjq169/3f3zq48bsViMu/IEYpGc3Om5dad0bsr13Ivn5s6Nywhu1DrHbQlx53Hz8MFkMnHi6B4MIx0XV08AEuMv4ubhTez5c0RsW8nAETOz1P1t3pc8/tzbpFvSSE9PB8BkZ0fK1eS7/hqk4M9Nkbx0vfe+Ap8zYBgGb731FuXKlaN3797W8pCQEBYuXAjAwoULadGiRZZywzDYtWsXbm5u+Pn50aRJE9atW0d8fDzx8fGsW7eOJk2a4Ofnh6urK7t27cIwjBzbyss+RETk3nY1+QoH92ymZr1/xvSvD5/H+vB5AOzeEs64IY/z4bBuhH33IT1eft96J/rbTwbzwRtdmPbxIDr3HIKTyz//Wf+17U9K318VDy9fnFzcKFk2kPFDHic19Solywbm74sUkXuWySjgNTC3bdvG008/TWDgP2MlX331VWrWrMnAgQM5d+4cJUqUYNKkSXh6emIYBqNGjWLt2rU4OTnx3nvvUaNGDQDmzZvHlClTAHjxxRfp3LkzAH/99RdDhw4lOTmZpk2b8s4772AymYiNjc3zPm4kNdVyV+4MLN166Y7auFe0refKhfAfCzqMQsGnRTdiYhILNAadm//QufkPnZuFi87NfxSGc1MkL13vzkCBJwO2TMnA3aX/1P5RGP5T07n5D52b/9C5Wbjo3PxHYTg3RfLS9ZKBQjFnQERERApW1MV4Rs9cwMXEy5hM8EjjOjwR0si6ffaK9UxesJyl49/A09UFwzCYOPc3Nu49TFEHB97u0ZFKZUpkazc1LY2PflrKzsPHMZlMvPBIC5rXrson835jx6HjACSnpBKbeJnlHw1l+8FjfDr/d2v9E5HnGflsF5oFVcnWdvj2PXyzZBUmE1QoGcDIZ7sA8PmC5WzYe4j0dIN6VcozqGsbTCYTB06eZcx3YVxNTaNRtYrWchFbpmRAREREMJvt6N+5FZXKlOBy8lWe/WAK9auU5/7ifkRdjGfL/qP4e3tY99+49zCnoy/w84gB7D1+mg9/XMy0N/pma3fm72vwcnPhpxEDSE9PJyHpCgCvdGlj3Wfun5s4dDpjIY46le5n5rCXAEi4nETXdz+lQdXy2do9FX2B75at5avXn8Pd2YmLiRl3e/46epKIv0/y3Vv9AHjxo2/Yefg4wYH38+GcxQx5+hGq3VeK1z7/nk37jtCoWsW7dARF/psKfAKxiIiIFLxiHm7WT/ZdihahbEAxYuIyhs18Mv93Xu7UEhP/fIq+NuIArRtkPGyz+v2luZSUzPn47MNsFm/YSY9WDwJgZ2eHp6tLtn3+2LaH0Lo1spWv3LmPRtUqUNTRMdu2X9dtp3Oz+rg7OwHg7fb/S7iaTKSkppGWZiE1LQ2LJR1vN1fOxydyOfkq1e8vjclkonWDINbs3n+LR0nk3qM7AyIiIpLFuQuxHD4VSbX7SrJm9wF8PdyoWCogyz4xcYn4e7lbf/b1cicmLoFiHv+MS078/7sAUxetZOfh45Qs5sVrT7TD2/2fZy+cuxDHuQux1Kl0f7Y4Vmzbw5MtGmUrBzgZnfGg0BcmTCM93eC5dg/RsFpFapQrTXDg/XQYOgHDMOjcrD73Ffdl/4kz+Hn+E6+fl7s12RGxZbozICIiIlZJyVcZNvUnXunSGrPZju+WreH5DiG31ZYlPZ3ouARqlCvNjKEvUr1caT5bsCzLPiu2/0Xz2lUx22W9JDkfn8jfZ6NoUPX/2rvz8JqO/4Hj75tNLEHIQmwRWxAixBLSpIglEvtSWkHRKqWUIqKlYtd8268l/Fr7HrSWr72N2veglRBbiyRIRBYiyHLv/P5QlytJUakgn9fz5HHPnDNz5txO57mfMzPnVM6x7Oj4BII//5AJfbswbeX/SLl3n5ibCVyJjWfj5OFsmjKCExcu89ulq/+o/kLkBxIMCCGEEAKATK2WgPlraNmgNu+61OBafBLXbyXTa/I8On35HfHJd/hw6vck3E7BurgFcUl39Hnjk+5g/cSdd4BihQthbmbKu38t/m3mUpML0TcMjgnNYYrQrhMReDhXx8TYONu62hQvinttR0yMjbGzsqScbUmibyay9/dInCqWpZB5AQqZF8CtZhUi/ozGunhRbiY/ru/NpDtYF5eXIwohwYAQQgghUEoxZfkm7EtZ06N5YwAqlbFl24xRrJ/0OesnfY518aIsHjOAksUscK/lyI6jD1+2GXE5msIFzQ2mCAFoNBqa1KrGyYtXAAg7/yf2paz1+6/ExpNy7wFODuWy1CenIOERD2dHTl24DEDy3VSi4xIoY2WJrWVxTl28SqZWS6ZWy6mLV7AvZY1VMQsKmxcg4nI0Sil2HP2Nd2o7vuzXJsQbT9YMCCGEEILTf0Sx49jvVLKzpfeUeQAMaNecxk7Zv+24sVMVDp+5QNfxMzE3M2WsXwf9vt5T5umfCDSoQwsCl65n5rodFLcoZHBcaFgEXq5OWR7veSMhibik27hUqWCQPn/zrzhWsOOd2o40rFGZo5F/8H7gHIyMNHzaqSXFihSiad0anLjwJ36T5qLRaGhYozLutasB8EV3HyYt20haRgZuNavIk4SEQF46lqfkpWO5S16e89jr8PIcaZuPSdt8TNrm60Xa5mOvQ9sU4t+U00vHZJqQEEIIIYQQ+ZQEA0IIIYQQQuRTsmZACCGEELlGq9PRd9r3WBcvStCgDwz2zfxxOycvXAHgQXoGSSmp/PyfMQAEb/iZQxEXAfjQ2xMvVycAvl78I39cu0mTWlX5pL0XAIu378WhtA2efz2lSAjxz0kwIIQQQohcs3b3EexLWZP6IC3LvqFdvPWf1+0+woWYWAAOhl/gQvQNlgZ8Qkamlk+/W4xbzcrcSEimgKkpy78cxNBZS7l7/wEP0jM4ezmGD709X9k1CfE2k2lCQgghhMgVN5NucyjiAm2b1H3msb888ejQK7E3qVO5AibGxhQsYEblMrYcOXsJE2Nj0jIy0Ol0ZGp1GGk0zN/yK/19m/7blyJEviHBgBBCCCFyxX9/3MGnHVti9NSjQp92IyGZGwlJ1KtWEYDKZUpx5OwlHqSnk3w3lZMXrhCXdBv70tYUL1KYD6d9T5NaVYmJT0TpFNXK272KyxEiX5BpQkIIIYR4aQfDz2NZpDCO5e04+dfLwHISeiKcpi41MDZ6eE+yYY3KRF69xoCghRQvUggnh7L6fcO6Pp5aNHLuSka935Yl2/dy6Voc9R0daO/u+u9dlBD5gIwMCCGEEOKlnf4jigPh5+n05XeMW/QjJ85f5uvFP2V7bHZvF+7j7cnSgIHM/Kw3SkE5m5IG+/f9fo5q5e24n5bOtVtJTOrfjd2nzvIgPf1fuyYh8gMZGRBCCCHESxvYoQUDO7QA4OSFy6wKPcTXH3bOctyV2HhS7j3AyaGcPk2r03H33gOKFSnEpZhYLl2L46vqlfT7M7Va1v56mKBPPyD6ZiKPJiHpdIqMTC3mZv/qpQnxVpNgQAghhBD/mvmbf8Wxgh3v1HYEHo4KeLk6oXliXUGmVsvAbxcBUNi8AOP7dMLE2Fi//6e9x/BuVAdzs4eLix9kZNBzUjBuNatgUajgq70gId4yEgwIIYQQIlfVrVqRulUfLg7+qG0zg33ZPQmogKkpq8YNzrG895q56T9rNBoC+3bNpZoKIWTNgBBCCCGEEPmUBANCCCGEEELkUxIMCCGEEEIIkU9JMCCEEEIIIUQ+JcGAEEIIIYQQ+ZQEA0IIIYQQQuRTEgwIIYQQQgiRT0kwIIQQQgghRD4lLx0TQgghhHgDdOnSlkKFCmFkZIyxsTELFy5n4cLv2bx5I8WLWwIwYMAg3Nzcs+Rds2YlmzdvQqMBB4fKBASMp0CBAkyY8CXnzp3FxMSE6tVrMmrUWExMTFBKMXNmEIcPH8Tc3JyAgK+pVs0xS7nnzkUyZcrXpKWl4ebWhKFDv0Cj0XDnzm3GjRtDbOwNSpUqTWDgNIoWLfrc5YpXR0YGhBBCCCHeELNmfc+SJatYuHC5Pq1bt/dZsmQVS5asyjYQiI+/yY8/rmHhwmUsX74WnU7Hrl0/A9CyZWtWrfqJZcvWkJaWxubNGwE4cuQg0dHRhIRsYOTIsQQFTc22Pv/5z1RGjfqSkJANREdHc+TIIQBWrFhCvXoNCAnZQL16DVixYskLlSteHQkGhBBCCCHeclqtlrS0NDIzM0lLe4CVlTUAbm7uaDQaNBoNNWrU5ObNOAD2799L69Zt0Gg0ODnV4u7dFG7dumVQ5q1bt0hNTcXJqRYajYbWrduwf/8efX5vb18AvL19DdKfVa54tSQYEEIIIYR4A2g0GoYP/5S+fXuyadN6ffr69Wvp3bs7U6ZM4M6dO1nyWVvb0L17Tzp39qVDh9YULlyEBg0aGRyTmZnJzp3baNSoMQC3bsVjY1NKv9/GxpZbt24a5Ll16ybW1rZPHRMPQFJSIlZWVgCULFmSpKTE5y5XvFqyZkAIIYQQ4g0wd+4CrK1tSEpKZNiwT6lQwZ6OHbvQp09/NBoN8+fPY86c7wgIGG+Q786dOxw4sJe1a/+HhYUFX301mp07t9GqVRv9Mf/5zzScnevi7OyS6/XWaDSAJtfKi4uLZdKk8X8FGBratetIt249uHjxAkFBU7l//x6lStkxfvxEChcukiX/kSOHmDkzCJ1Oh69vB/z8+gAwdWog585FAopy5coTEPA1hQoVAmDXrl9YvPgHQEPlylX4+uvJWcp9U9dPyMiAEEIIIcQbwNraBgBLyxJ4eLzL2bNnKFGiJMbGxhgZGdGuXUciI89kyRcWdozSpe2wtLTExMQED4+mhIef1u9ftOgHkpOTGDLkc32alZU1N2/G6rdv3ozDysrGoFwrKxvi4+OeOsZaX8dH039u3bqFpaXlc5f7LMbGJgwe/DkrVqzjhx8Ws379Oi5f/pPp0yfxySeDWbZsDR4e77Jq1fIsebVaLd9+O52goFmsWLGO0NCdXL78JwCffTacpUtXs3RpCLa2pfjpp7UAREdHsWLFYubOXciKFWsZOnREtvV6U9dPSDAghBBCCPGau3//Pvfupeo/Hz9+FAeHSgbz7fft242DQ6UseW1tS3HmTAQPHjxAKcWJE8ext7cHYPPmjRw7doSvv56MkdHjn4Xu7p7s2LENpRQREeEUKVJEP+3nESsrKwoXLkxERDhKKXbs2MY773jq82/fvgWA7du3GKQ/q9xnsbKy0t9BL1SoMPb29ty6dZPo6KvUqVMXgPr1G7J3769Z8kZGnqFs2XKUKVMWU1NTvLxacuDAXgD9KIJSirS0NDR/DWZs3ryBTp26UbRoUeBhoPO0N3n9hEwTEkIIIYR4zSUmJhAQMBJ4eHe7RYtWNGrUmIkTv+LixQtoNBpKlSrNyJFjgYdz86dNm0hQ0Cxq1nSiadPm9O37AcbGxlStWo127ToBEBQ0FVvbUgwY0BcAT8+mfPjhR7i5NeHw4YO8916Hv6awPJ561KfPw6cXAYwY4c/kyQ+nxjRq1JhGjZoA0LNnb8aNG8PWrZuwtS3NxIkP73r/Xbn/xI0b17lw4Tw1ajhRsWIl9u/fi4fHu+zeHUpcXFyW4+Pjb2Jj83idg7W1DWfPRui3p0yZwOHDB7G3r8jgwQ9HSqKjowAYOLAvWq2Ovn0/1q+teCQ310+8aHD0siQYEEIIIYR4zZUpU5alS1dnSf/qq4nZHm9lZU1Q0Cz9dr9+A+jXb0CW4/buPWqwffJkGBMmjKVt246MGDE627IfBQIAjo41WL58bZZjihUrzsyZ87KkazSaHMt9Uffu3WPs2FEMHTqCwoWLMGbMOP77329YsmQB7u4emJqavnCZAQHj0Wq1fPfdN+za9TM+Pu3QarVER0cze/YP3LwZx+DBH7N0aQgWFhYvXH5ur5/IDTJNSAghhBBCALBu3SoiI8+wbt2qZx+chzIzM/nyy1G0bNkaT89mAFSoYM933wWzaNEKvLxaUaZMmSz5rK1t9I9PhYcjBY/WYjxibGyMl1dL/TQja2sb3N09MDExwc6uDOXKlScmJsogT16tn8gNMjIghBBCCPGaKG5ZGFOTvLtXm56epv/X2vrF73znpoxMHclJqVnSlVJMnRpIhQoV6d69pz49KSkRS8sS6HQ6li5dSPv2nbPkdXSsQXR0NNevX8Pa2obQ0J8ZP34SSimuXYuhbNlyKKU4cGAf5cvbA/DOO+8SGroTH592JCcnEx0dhZ2dYaDx5PqJmjWd2LFjG126dAMer5/w8+uTZf3ETz+txcurFWfORPyj9RO5QYIBIYQQQojXhKmJEduO382Vslb/MIGzv+2nSNESjJ6WdSpP3PXLrP5hAjFXzuHTdRBNfXpxL00BcOHiH9Sr3yhL3s0hs4j8/SBlKlTjg08CAQg7sI3Uu8l4tn4/V+r9SJv6WR8LCnD69O/s3LmNSpUq06fPw3MOGDCI6Oho1q9fBzxc++Dj0w4wXD9hYmLC8OEjGT58CDqdFh+fdjg4VEKn0zF58nhSU1NRSlG5clW++MIfgIYN3Th+/Ag9e3bFyMiIQYM+o1ix4sDrtX7in5JgQAghhBDiLdTAoy3uLbqx6vvsf2QWKlyMTn4jCT+xR59mWqAgAFa2ZWj7/kiDvPfvpRBz5Ryjpq4hZH4g16MvYmVbjmP7/seAUbP/1Wt5krNzHQ4cCMuS7uYG3br1yJL+9PoJNzd33NzcDY4xMjJi3rxF2Z5Po9EwZMhwhgzJuu91WT/xMmTNgBBCCCHEW6iSY10KFymW436LYiUoX6kmxsaP7w03afE+5RycaN15UJa8Go0R2sxMlFJkpD/A2NiEPVuX807L9zA2efHFuuL1ICMDQgghhBACAAdHVxwcXQFIjL9usM+8YGGq12lC0Nj3qVqzPuYFi3D1jwhadvwoL6oqcokEA0IIIYQQ4rk09+1Nc9/eAITMD6R15084snsD58KPYFe+Ci079M/jGmbvyJFDzJwZhE6nw9e3A35+fQz2b9u2mblzZ+qf5tO5czfatu0AwNy5Mzl06CBK6ahfvyFDh35BRkYG/v4jiI+Po2PHrnTq1BWA6dMn06FDZ/1L0d4EMk1ICCGEEEK8kJgr5wCwKW3Pb8dC6fPZdBLiYoiPjXpGzldPq9Xy7bfTCQqaxYoV6wgN3cnly39mOa5ZsxYsWbKKJUtW6QOB8PDfCQ//naVLV7Ns2RoiI89y6tQJjh07TO3azixdGsLOndsAuHjxAjqd9o0KBECCASGEEEII8YK2/zgP7y4D0Wkz0el0AGiMjEhPe5DHNcsqMvIMZcuWo0yZspiamuLl1ZIDB/Y+M9/Jk2EsWvQDSUnJZGZmkJGRQWZmJiVKlMTY2IS0tDQy/1pDAbBgwTw++mjgv305uU6mCQkhhBBCvIWWzQngUmQYqXeT+XqIN607D0CrzQSgSfMu3Em+xbdf+fHgfioaIw17d6zGf/o6zAsVyTZvo3c7ABAetptyFWtQzPLhS7XKVKjKDP9ulC5fhTIVqubV5eYoPv4mNja2+m1raxvOno3Ictzevb/y+++nKFeuPEOGDGfdulXcuHENpaB9+9YopejUqRv29hUpW7YcO3duY8CAPvTo0YsDB/ZStaqj/kVjbxIJBoQQQggh3kK9Bk/52/1Fi1vx9eztL5y3lmtTark21W+3f/9zeP/zf1bJv6G02lx58VnRogUxNzfVl2VhYU7BgmYGZbdr502PHl0wMzMjJCSEGTMmUqhQITIzM0lPT2ffvn0A9O3bl6tXz+Pq6kpw8MPHlWZkZNCvXz/mzp3L7NmzuXHjBu3bt6d58+YvXfdHtBmZJCbfz7XyniTBgBBCCCGEeO1ojI1J2BXy0uWYR0cTdeaUvqzLB/dhAVnKTvnr32Yldcz4/TemD+rJrD8vUsXBjgdHNgPgWtaSg+uWUPH2JX2+Nb8exqtqafYvmYlxfBRftvVkyLfTqUP8S9f9kZLNu+daWU+TNQNCCCGEEOKtVb2CHTE3E7l+K4mMzExCT0TgXttwke+t2yn6zwdOn8e+lDV1K5enZ3M34hKSydRqydRqOXXxCvalHk8FunPvPociLuDd0JkH6RkYaTRogLSMzFd1eS9NRgaEEEIIIcRby8TYmOHvteHzOcvR6nT4urngYGfD/M2/4ljBjndqO7Ju9xEOhJ/H2MiIooUKMrZXBwCa1q3BiQt/4jdpLhqNhoY1KuNeu5q+7MXb9tC7tQdGRkY0rFGJn/YeI3TyXDq4u+bR1b44CQaEEEIIIcRbrbFTVRo7GS5u/qhtM/3ngR1aMLBDiyz5jI2MGP1+uxzLHdrFW/+5gKkpMz/rlQu1fbVkmlAu2rdvH61ataJFixb88MMPeV0dIYQQQggh/pYEA7lEq9USGBjIggUL2Lp1K1u2bOHSpUvPziiEEEIIIUQekWAgl5w+fZoKFSpQrlw5zMzM8PHxYdeuXXldLSGEEEIIIXKkUY9emyZeyo4dO9i/fz+TJ08GYOPGjZw+fZpx48blcc2EEEIIIYTInowMCCGEEEIIkU9JMJBLbG1tiY2N1W/HxcVha2v7NzmEEEIIIYTIWxIM5JJatWpx5coVoqOjSU9PZ+vWrTRr1uzZGYUQQgghhMgj8p6BXGJiYsK4cePo378/Wq2Wzp07U6VKlbyulhBCCCGEEDmSBcRCCCGEEELkUzJNSAghhBBCiHxKggEhRL7z559/EhoamtfVEOKNt3nzZq5fv57X1RBCvAQJBkSeCQ8PZ9KkSf/qObp3755tur+/Pzt27HjucmJiYvD19c2taok8FBcXx5w5c2jQoEGe1sPPz4/w8PBcLXPr1q1069aNIUOGcPjw4VwtW7y+XkVfmp1169aRkJCAnZ1dtvuf7GfHjh3LpUuXXmX1xBtq/fr1xMXF5XU18hVZQCzyTK1atahVq9ZLl5OZmYmJSfZNOSQk5KXLF28XW1tbvv3223+l7L9ri6+Cj48PPj4+eXZ+kTdyqy99UV27dn3uYx+9kFOIZ9mwYQNVqlTJ9vHsWq0WY2PjPKjV202CAZFrYmJi+OSTT9iyZQsACxcu5N69exw7dozatWtz9OhRUlJSmDx5Mq6urhw9epRFixYxb948vLy82LhxI0WLFgWgZcuWrFq1CiMjI8aPH68fhg4ICKBevXrMnj2bqKgooqOjsbOzY+DAgYwZM4aMjAx0Oh2zZ8/G3t4eFxcXTp06hVKKiRMncvDgQUqXLo2pqam+3nPmzGH37t2kpaXh4uJCYGAgGo2GiIgIAgICAGjSpIn+eK1WS1BQEMeOHSM9PZ0PPvggxxEIkTdiYmLo378/NWvW5OzZs1SpUoXp06fz22+/MX36dLRaLU5OTkyYMAEzMzOCgoL49ddfMTY2xt3dndGjR2cpc926dSxYsAALCwscHR0xMzNj3Lhx+Pv7Y2ZmRmRkJHXr1sXHx4fJkyeTlpaGubk5U6ZMwcHBgQcPHjBmzBjOnTun337kUTuFh28z37NnD9OmTePXX39l3rx5ZGRkULx4cYKCgrCysiI1NZVJkyYREREBwPDhw2natCmDBg0iNjaWtLQ0evXqxXvvvQfAli1b+P7771FK4enpyciRI1/BfwXxPDZt2sTy5cvJyMjA2dmZ8ePHY2xsjIuLC7169WL37t2Ym5szd+5crKys2L59O8HBwRgZGWFhYcHKlSv1fen333/P7NmzuX79OjExMVy/fp3evXvTq1cvABYvXsxPP/0EQJcuXejTp0+W+ri4uNC9e3f27duHtbU1w4cP55tvvuH69esEBATQvHnzHPvAv+tn/fz8GDVqFLVq1ZL2mA893fa8vLyy/b1QpUoVIiIi+OKLLzA3N2fNmjW0adMGb29vDh06RP/+/VFKZWk/Wq2WsWPHEhERgUajoXPnztm2b5EDJUQuiY6OVj4+PvrtBQsWqFmzZqmePXuqqVOnKqWU2rNnj+rdu7dSSqkjR46ojz/+WCml1MSJE9WPP/6olFLqt99+0x8zfPhwdfz4caWUUteuXVOtW7dWSik1a9Ys1bFjR3X//n2llFKBgYFq06ZNSiml0tLS9Ol16tRRSim1c+dO1adPH5WZmaliY2NVvXr11Pbt25VSSiUlJenr/MUXX6hdu3YppZTy9fVVx44dU0opNW3aNP21hYSEqODgYP25OnbsqKKiol76+xO5Jzo6WlWtWlWFhYUppZTy9/dXwcHBysPDQ/35559KKaVGjhypFi9erBITE1XLli2VTqdTSil1+/btLOXFxsaqpk2bqqSkJJWenq569OihJkyYoJRSavTo0erjjz9WmZmZSimlUlJSVEZGhlJKqYMHD6rBgwcrpZRatGiR8vf3V0opFRkZqapXr65Onz6tlHrcTpVSavv27Wr06NFKKaWSk5P19Vq7dq3+/6MZM2boP+t0OpWcnKyUetyW79+/r3x8fFRiYqKKjY1Vnp6eKiEhQWVkZCg/Pz/1yy+/vNwXLHLFpUuX1IABA1R6erpSSqnx48erDRs2KKWUqlq1qr4vmj59ur7P8fX1VbGxsUqpx231yb501qxZ6r333lNpaWkqISFBNWjQQKWnp6vw8HDl6+urUlNT1d27d1WbNm3UmTNnstSpatWqas+ePUoppQYNGqQ+/PBDlZ6eriIjI1W7du2UUjn3gX/Xz/bs2VOdPn1a2mM+lFPby+73glKP28ojTZs2VT/88INSSuXYfsLDw1WfPn30ebLrx0XOZGRAvBItWrQAoGbNmly7di3L/jZt2hAcHEznzp3ZunUrbdq0AeDQoUMG80zv3r1LamoqAM2aNcPc3ByAOnXq8H//93/ExsbSsmVL7O3tDco/fvw4Pj4+GBsbY2trS6NGjfT7jh49yoIFC3jw4AHJyclUqVIFV1dXUlJSqF+/PgDt27dn//79ABw8eJDz58+zc+dOAFJSUrh69SrlypXLja9K5JLSpUtTr149ANq1a8fcuXMpW7YsFStWBKBjx46sXLmSnj17UqBAAQICAmjatCnvvvtulrLCw8OpX78+xYsXB6B169ZcuXJFv79169b6oeuUlBRGjx7N1atX0Wg0ZGRkAA/boJ+fHwCOjo5Uq1btmdcQGxvL559/Tnx8POnp6ZQtWxaAw4cP89133wGg0WgoVqwYAMuXL+eXX34B4MaNG1y9epVbt27RoEEDSpQoAUDbtm05fvw4Xl5ez/1din/H4cOHiYiIoEuXLgA8ePCAkiVLAmBqakrTpk0BcHJy4uDBg8DDO/f+/v54e3vr+9WneXp6YmZmRokSJShRogQJCQmcOHECLy8vChUqBDzsk8PCwqhRo4ZBXlNTUzw8PACoWrUqZmZmmJqaUrVqVX3fnVMf+Hf97CPh4eHSHvOZnNrei3j0myCn9jNo0CCio6OZOHEinp6euLu75+5FvOUkGBC5xsTEBJ1Op99OS0vTfzYzMwPAyMgIrVabJa+LiwtRUVEkJiYSGhrKwIEDAdDpdKxdu5YCBQpkyVOwYEH957Zt2+Ls7MyePXv4+OOPmTBhAm5ubs+sc1paGhMmTOCnn36idOnSzJ4926De2VFK8eWXX/LOO+88s3yRdzQajcF20aJFSU5OznKciYkJP/74I4cPH2bHjh2sWLGCxYsX06lTJ+Bh0FmzZs2/PdeTbXHmzJk0bNiQ4OBgYmJi9FM0nteT7W/SpEn06dOH5s2bc/ToUebMmZNjvqNHj3Lo0CHWrFlDwYIF8fPze2ZbFnlLKUXHjh0ZMWJEln2mpqb6NvxkvxkYGMjvv//Onj176Ny5s37qxZMe9bcAxsbGZGZmPnednj5vdn13Tn3g3r17n/s8In+7c+dOjr8XsvNkH5udYsWKsWnTJg4cOEBISAjbt29n6tSpuVLX/ECeJiRyTcmSJUlISCApKYn09HT27Nnz3Hk1Gg1eXl5MnTqVSpUqYWlpCYC7uzvLly/XHxcZGZlt/ujoaMqVK0evXr1o3rw558+fN9hfv359tm/fjlar5ebNmxw9ehR43AFZWlqSmpqqv9NVtGhRLCws9HcvNm/erC/L3d2d1atX6+/4Xr58mXv37j33tYpX4/r16/p5+Fu2bMHJyYlr165x9epV4OFc7fr165OamkpKSgqenp4EBARw/vx5jI2N2bRpE5s2bWLo0KHUqlWL48ePc/v2bTIzM/n5559zPG9KSop+4duGDRv06fXr19fPj71w4YJBG7WysuKPP/5Ap9MZPPL0ybI2btyoT2/cuDGrV68GHv4wu337NikpKRQrVoyCBQvyxx9/8NtvvwFQu3Ztjh8/TmJiIlqtlq1bt+pHvETecnNzY+fOnSQkJACQnJyc7cjpk6KionB2dmbo0KFYWloSGxv7XOdydXUlNDSU+/fvc+/ePUJDQ3F1df1H9c6pD8ypn32StMf8J7u25+HhkePvhcKFC+tnADwtp/aTmJiIUopWrVoxbNgwzp49+4qu7u0gIwMi15iamvLpp5/StWtXbG1tcXBweKH8bdq0oUuXLkybNk2fNnbsWAIDA2nbti1arRZXV1cCAwOz5N2+fTubNm3CxMQEKysrBgwYYLC/RYsWHDlyhDZt2mBnZ0edOnWAhz/6u3btiq+vL1ZWVgZP5Jg6dSoBAQFoNBqDBcRdu3bl2rVrdOrUCaUUlpaWzJ0794WuVfz7KlasyMqVKwkICKBy5cr06dOHOnXqMHToUP0C4h49epCcnMygQYP0gaG/v3+WsmxtbRkwYABdu3alWLFiODg4YGFhke15+/fvj7+/P/PmzcPT01Of3qNHD8aMGYO3tzeVKlUyGG0YMWIEAwYMoESJEjg5OemDy8GDBzN06FCKFStGw4YNiYmJAWDgwIEEBgby7rvvYm5ujr+/Px4eHoSEhODt7U3FihX1bdzGxoYRI0bQu3dv/YI7mZLxeqhcuTLDhg2jb9++6HQ6TE1NGTduHGXKlMkxz4wZM7h69SpKKRo1aoSjoyPHjh175rlq1qxJp06d9E8A6tKlS5YpQs8rpz4wp372SdIe85/s2l7t2rVz/L3QsWNHxo8fr19A/KSc2s+5c+cYM2aMfrRh+PDhr+4C3wIapZTK60oIIURuevrJVrkhNTWVwoULk5mZyeDBg+ncuXOOc7Zflbi4ONasWcNnn32Wp/UQQgjx5pJpQkII8RzmzJlD+/bt8fX1pWzZsnl+N/Po0aP07t1bnrkthBDipcjIgBBCCCGEEPmUjAwIIYQQQgiRT0kwIIQQQgghRD4lwYAQQgghhBD5lAQDQggh/lUuLi6sX78+r6th4PTp0zRs2JBRo0YRExND9+7d87pKQgiRJ+Q9A0IIIZ6bv7+/wcvUHnF2dmbt2rV5UKN/Zvfu3Xz++efExsbSq1cvhg0bltdVEkKIPCHBgBBCiBfSuHFjZsyYYZBmamqaR7X5Z4YOHar/LIGAECI/k2lCQgghXoiZmRnW1tYGf8WLFwfg6tWr+Pn5UatWLVq1asXu3bsN8sbExFCtWjXCw8MN0qtVq8aOHTv023FxcYwYMYKGDRvi7OxM+/btOXLkCABRUVEMHDiQJk2aUKdOHTp27JjlPOnp6Xz77bc0bdoUJycnmjdvzrJlywDQarUEBATQrFkzateuTcuWLZk/f77+7aUAOp2O4OBgPD09cXJyom3btoSGhubadyiEEK8LGRkQQgiRK3Q6HYMHD6Zo0aKsWbOG+/fvM3nyZNLT01+onHv37uHn50eJEiUIDg7GxsaGc+fOGez38PBg2LBhmJubs23bNoYMGcKmTZuoVKkS8HA6U1hYGGPHjqVGjRpcu3aN2NhYfT1tbW3573//S4kSJTh9+jTjxo2jePHidO3aFYBly5axcOFCJkyYgJOTE//73/8YMmQI69evp3r16rn0jQkhRN6TYEAIIcQL2b9/Py4uLgZp77//Pm5ubly6dIldu3ZhZ2cHQEBAAB988MELlb9lyxbi4+MJCQmhRIkSAJQvX16/39HREUdHR/32wIED2b17Nzt37mTQoEFcuXKFrVu3Mn/+fDw8PAAoV66c/nhTU1ODaUJly5bl7NmzbN26VR8MLFy4kL59+9K2bVvg4bSisLAwFi5cSFBQ0AtdjxBCvM4kGBBCCPFCXF1dmThxokGahYUFmzdvxtbWVh8IwMOFxUZGLzYj9ezZs1SrVk0fCDzt3r17zJkzhz179hAfH09mZiZpaWlUq1ZNn9/IyIhGjRrleI7Vq1ezbt06rl+/TlpaGhkZGZQpUwaAu3fvcvPmTerVq2eQp27duuzbt++FrkUIIV53EgwIIYR4IQULFqRChQr/KO+jwEAppU/LyMh4oTKmT5/O/v37GT16NBUqVKBgwYKMHj36ucvZtm0bU6ZMYfTo0bi4uFCkSBFWrlz5XGsCNBrNC9VVCCFed7KAWAghRK6oVKkScXFx3LhxQ592+vRpg4W5j+72x8fH69MiIyMNyqlRowbnz58nMTEx2/OcPHmSDh060KpVKxwdHSlVqhRRUVH6/dWrV0en0+kXHD/txIkTODs707NnT2rWrEmFChUM8hcpUgQbGxtOnDiR5byP1iQIIcTbQoIBIYQQLyQ9PZ34+HiDv8TERBo3boyDgwOjRo0iMjKSU6dOMXXqVExMHg9Cm5ubU6dOHebPn8/Fixc5efJklseU+vr6UrJkSQYNGkRYWBjR0dHs2rVL/+Pe3t6eX375hTNnznD+/HlGjhxJWlqaPn/FihXx9vbmyy+/ZOfOnURHRxMWFsbGjRv1+c+cOcPevXu5cuUKwcHBHD9+3KAO/fr1Y9GiRWzZsoXLly8zc+ZMwsLC6Nev37/0rQohRN6QYEAIIcQLOXToEO7u7gZ/HTp0wMjIiDlz5qCUomvXrowePZqBAwdiZmZmkH/KlCkAdOnShfHjx2d5zn+hQoVYsWIFpUqV4pNPPsHX15fZs2frp+j4+/tTsmRJPvjgAz766COcnZ1xdXU1KGPGjBn4+voyadIkvLy88Pf35+7duwC89957eHt788UXX9ClSxeuXbvGhx9+aJC/V69e9OvXj2+++Ub/WNHZs2cbLFwWQoi3gUY9OXFTCCGEeMuMGzcOb29v3Nzc8roqQgjx2pGRASGEEG+llJQUoqKiMDU1ZdeuXXldHSGEeC3J04SEEEK8leLi4ujWrRtmZmZ88803eV0dIYR4Lck0ISGEEEIIIfIpmSYkhBBCCCFEPiXBgBBCCCGEEPmUBANCCCGEEELkUxIMCCGEEEIIkU9JMCCEEEIIIUQ+JcGAEEIIIYQQ+dT/Azf0qb9nEOZhAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('darkgrid')\n",
+    "ax = sns.barplot( data=df, x=\"educacao\", y=\"limite\", hue='sexo', palette='coolwarm', estimator=np.sum)\n",
+    "ax.figure.set_size_inches(12, 8)\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
+    "for p in ax.patches:\n",
+    "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
+    "    x = p.get_x() + p.get_width()/2\n",
+    "    y = p.get_height() /2\n",
+    "    ax.annotate(valores, (x, y),ha='center')\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "plt.suptitle('Soma dos limites por Educação e Sexo', fontsize=22)\n",
+    "plt.ylabel('Soma Limites', size=14)\n",
+    "plt.xlabel('Educação', size=14)\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 28,
@@ -2453,7 +2531,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x576 with 1 Axes>"
       ]
@@ -2466,12 +2544,13 @@
     "sns.set_style('darkgrid')\n",
     "ax = sns.countplot( data=df, x='sexo', palette='coolwarm')\n",
     "ax.figure.set_size_inches(12, 8)\n",
-    "total = float(len(df))\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
     "for p in ax.patches:\n",
     "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
     "    x = p.get_x() + p.get_width()/2\n",
-    "    y = p.get_height() + 100\n",
+    "    y = p.get_height() /2\n",
     "    ax.annotate(valores, (x, y),ha='center')\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
     "plt.suptitle('Distribuição por Sexo', fontsize=22)\n",
     "plt.ylabel('Quantidade', size=14)\n",
     "plt.xlabel('Sexo', size=14)\n",
@@ -2481,6 +2560,45 @@
   {
    "cell_type": "code",
    "execution_count": 29,
+   "id": "8cf6979f-7e47-4f67-8151-61d6c801117f",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('darkgrid')\n",
+    "ax = sns.barplot( data=df, x=\"sexo\", y=\"limite\", palette='coolwarm', estimator= np.sum)\n",
+    "ax.figure.set_size_inches(12, 8)\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
+    "for p in ax.patches:\n",
+    "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
+    "    x = p.get_x() + p.get_width()/2\n",
+    "    y = p.get_height() /2\n",
+    "    ax.annotate(valores, (x, y),ha='center')\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "plt.suptitle('Soma dos limites por Sexo', fontsize=22)\n",
+    "plt.ylabel('Soma Limites', size=14)\n",
+    "plt.xlabel('sexo', size=14)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
    "id": "3d9dac6f-c261-4e86-8054-fa779e08e57e",
    "metadata": {
     "jupyter": {
@@ -2491,7 +2609,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x576 with 1 Axes>"
       ]
@@ -2504,11 +2622,11 @@
     "sns.set_style('darkgrid')\n",
     "ax = sns.countplot( data=df, x='estado_civil', palette='coolwarm')\n",
     "ax.figure.set_size_inches(12, 8)\n",
-    "total = float(len(df))\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
     "for p in ax.patches:\n",
     "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
     "    x = p.get_x() + p.get_width()/2\n",
-    "    y = p.get_height() + 100\n",
+    "    y = p.get_height() /2\n",
     "    ax.annotate(valores, (x, y),ha='center')\n",
     "plt.suptitle('Distribuição por estado_civil', fontsize=22)\n",
     "plt.ylabel('Quantidade', size=14)\n",
@@ -2526,6 +2644,84 @@
     " 1,56% em educação."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "ca8a44ac-7f5f-48cf-a0d1-7e9e7e480af5",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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3bhmGIV9fX1WoUCFDvUqVKql27drat2+fdu3adc+fY27o0qWLli9frpCQEPXq1ctWHh0drfXr18vR0VEdO3bMs/EBOYUwADyk6tatq7p160q6c0vR/fv369///re2bNmikJAQtWzZ0vZufXh4uCTd8wVMvnz55OXlpfDw8EzDQLFixTKtV6hQIUnKsP/d25KSkjJs+/LLLzV16tRMF2mmuftdyfv5s2OTZHsxdbe0F8T3q5e2La0P6c5tOI8fP65NmzZp06ZNKlCggGrUqKHGjRurU6dOf+td2r+qaNGimQaQggULSrr3zytte2bvdv8dFy9elHTnHfSffvrpvvvevZD4k08+0eDBg/X999/r+++/l4eHh2rXrq0WLVroySeflIuLy18ey71+jiVLlpR0J3ymycq/mdKlSysyMjLdzz5NdtyN5q/cWjS7z1dKSorGjBmj+fPn2wJAZu6+BrNyzkqUKJEhDGSlXqlSpbRv375Mz3VmPDw8dPXqVdundNmlWbNmKlasmI4ePaoTJ07YHv62YsUKJSUlqW3btjm6NgTIK4QB4BFgZ2enunXratq0aerevbuOHDmitWvXZlg0+U/a/yfb77Zq1Sr9+9//VqFChTR69Gg1btxYnp6etneW33jjDS1btuy+L1Ky070WPd6Lp6enFi5cqJ07d2rbtm3au3evDhw4oF27dunrr7/WmDFj1K1btxwa7R3Z+fP4J6xWqySpevXqf7qY/e5PeerXr69169bp999/V2hoqPbt26cNGzbo999/15QpU/Tdd9+le3c8p/zVn32azD4FyUnZfb5mz56tX375RV5eXhoxYoTq1KmjIkWK2D7969Gjh/bt25et1+DfPdeZqV69uq5evarDhw+rc+fO2daunZ2dOnXqpKlTpyokJMR216zFixdLYuEwHl2EAeARYm9vr0aNGunIkSPpbouZ9s79pUuXMq2XmJhoe6c8s3f5s1Pa7UiHDh2q7t27Z9h+/vz5v9Re2ngvX758z30y25Z2X/17nZO7t/3vObGzs1OTJk1sU3Xi4+P1448/atKkSRo7dqzatWv3j+aTPyzS7m7VqFGje84Zv5cCBQooMDDQNs8/IiJCH330kVasWKGxY8dq7ty5f6m9S5cuqWrVqhnK0372d/8M075O+2QjM2nbcvp6yKrsPF9p1+DYsWP1xBNPZNie2TWYdr3c7zq7cuVKhrKsnOt7XWf34u/vr7Vr19qexp5ddxSS7rzgnzp1qpYuXao333xTFy5c0P79++Xp6ZnpdEjgUcACYuAhkpV36tIW4d39izXtPtvLli3LdGpOSEiIDMNQ2bJlc/zFT3R0tKTMp7KcPn1ax44d+0vtVa9eXQULFlRYWJhtbcTdTp48aVu8ercaNWqoYMGCCg8Pz/TZADdu3ND69eslSQ0bNrzvGAoWLKiXXnpJxYoVU2Jios6cOfOXjuFBlba+5F7TudIWUa9bt+6+U76ywsvLS0OGDJGkDFO6suJez8r49ddfJaX/GaZ9/fvvv9v+Pd5t8+bNioyMVMGCBXNtQfhfdb/zlfZzS/vk5n+lHXNamLvb1q1bM302RP369WWxWLR///5MX9hv2LAhwxShu+sdOHBAZ8+ezbD99OnTOnDggO2BiVkRFBSkkiVLKioqSp9++umf7n+/Z038r/Lly6tOnTq6du2aNm/ebPtUICgoSA4OvH+KRxNhAHiIzJkzRyNGjMj0YV4pKSn65ZdftGrVKklKd2eV9u3bq3jx4rp06ZImTZpkW6wr3bkjTNoDc/r27ZvDRyDbIsL58+enW08QFRWlt99++y+/qCxQoIBtWs6HH36Y7oVMbGysxowZk2mIyp8/v3r06GGrd/ei2sTERI0ePVrx8fHy9fVNt4B0xowZmd715NChQ4qMjJSdnV2mL7IeRmnB8F7hpnr16mrdurXOnz+v4ODgdPPy00RHR2vu3Lm2n+vly5c1f/78TNeEpIWvvzMnf/Xq1bZ/+2nmzZun0NBQFSxYMN3UrbSHbN26dUtjx45N9+8wPDxc48ePlyQ9//zz6e40lBf+zvlK+7nd6wF+aXclmjNnTrr/Cy5cuKBRo0ZlWqdUqVLy9/eX1Wq1XRtpwsPD0z2I624lS5ZUmzZtlJqaqpEjRyo2Nta2LSYmRiNHjlRqaqrt/6iscHJy0uTJk+Xk5KTZs2fr3XffzXT9QHh4uMaOHatXXnklS+2mSbtj0MKFC7VkyRJJTBHCo42YCzxEkpOTtWjRIi1atEienp6qWrWq3NzcFB0dne4uMf3790/3kXa+fPn0+eef68UXX9R3332ntWvXqmbNmoqOjtbOnTuVnJysTp066ZlnnsnxY3jhhRe0ePFibdiwQW3atFGtWrWUmJio0NBQFS9eXK1bt77vU0AzExwcrD179ujIkSMKCAhQ48aNZW9vr507d8rFxUX+/v62F07/W+/w4cMKDQ1V27ZtbQ8d2717tyIjI1WiRAlNnDgxXZ2vv/5an3zyiSpWrKiKFSvKyclJV69e1b59+5SamqqXXnop3YOeHma+vr7y9PTUkSNH9NRTT6ly5cpycHBQ3bp11bVrV0l3nsr68ssva82aNdq0aZOqVq2qkiVLymq16uLFizpx4oSsVqu6dOkiBwcHxcTE6L333tOYMWNUrVo1lSpVSqmpqTp9+rT++OMPOTo6atiwYX95rD179tTgwYPl6+urUqVK6cyZMzp69Kjs7e01btw42zSXNJMmTVKvXr20bNky7dy5U/Xr17c9dCw+Pl5NmjSx3XI3J/zvU5z/1+DBg20Lcv/q+WrdurUWLVqkTz75RFu3brXdgrNfv36qUKGCBgwYoC1btmjevHnauXOnHnvsMdsDCOvUqaOiRYtq3759GcY0atQoHT9+XFu2bFGrVq3UoEEDJSUlaefOnapcubLq1KmTab3Ro0fr7NmzCg0NVevWrW2fzOzcuVPR0dGqWrWqRo4c+ZfOX+3atTV79mwFBwdrwYIFWrx4sWrWrKnixYvLarXqwoULOn78uO1ORn9FYGCgPvzwQ61Zs0ZS1tbEAA8zwgDwEOnWrZtKlSqlbdu26eDBgzp58qSuX78uBwcHeXt7q0uXLurWrVumT+/19fXV4sWLNW3aNG3evFmrV69W/vz55evrq6efflpBQUHZusjvXkqXLq2QkBBNnjxZe/bs0e+//y5vb28988wzeuWVV/Thhx/+5TYLFSqkH374Qd98842WL1+ujRs3ysPDQ23btlVwcLA++eSTTOvly5dP3333nebOnaslS5Zo586dSklJUcmSJdWpUyf1799fhQsXTldn5MiR2rZtmw4fPqydO3cqISHB9gTb5557zvZ01UeBk5OTpk+frsmTJ2v//v06duyYUlNTZbVabWEg7dkXS5cu1dKlS3XkyBEdOXJErq6u8vLy0jPPPKNWrVrZ3mEvXbq0RowYodDQUJ06dUqnTp2SxWKx/Rvo1avXPZ8YfT+9evWSr6+vZs6cqfXr18tisahp06YaNGhQptNPypYtq5CQEE2fPl3r1q3TunXr5ODgoEqVKqlz5856+umnM70Nb3YJCQm57/YXXnhBJUqU+Fvnq1WrVho1apTmzZun7du3KyEhQdKd269WqFBBderU0YIFCzR58mQdPnxY69atU6lSpTRw4EC99NJL6tevX6Zj8vb21oIFC/Tll19q3bp1Wr9+vby8vPTss8/q1Vdf1YABAzKt5+Hhoblz52rWrFlauXKl7Za0ZcuWVd++fdWrVy/bna7+ijp16mj16tVatGiR1q9fr+PHj+vw4cOyt7eXt7e3OnbsqA4dOujxxx//S+06OzsrICDANvWMZwvgUWcxcuuWHQAAZDN/f39dvnzZ9oIWAPDXsGYAAAAAMCnCAAAAAGBShAEAAADApFgzAAAAAJgUnwwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCmHvB6AmaWmpspqNfJ6GAAAAHjEOTraZ1pOGMhDVquhmzfj83oYAAAAeMR5erpkWs40IQAAAMCkCAMAAACASREGAAAAAJMiDAAAAAAmRRgAAAAATIowAAAAAJgUYQAAAAAwKcIAAAAAYFKEAQAAAMCkCAMAAACASREGAAAAAJMiDAAAAAAmRRgAAAAATIowAAAAAJgUYQAAAAAwKcIAAAAAYFKEAQAAAMCkCAMAAACASREGAAAPjb17d2vMmHe1d+/uvB4KADwSHPJ6AMDDaO/e3Vq6NERBQV1Ut279vB4OYBrz58/R2bNnlJBwm2sPALJBrn0ycPXqVfXs2VOBgYHq0KGDZs2aJUmaMmWKWrRooU6dOqlTp07auHGjrc7UqVMVEBCgtm3bavPmzbbyTZs2qW3btgoICNC0adNs5RcvXlT37t0VEBCg4OBgJSUlSZKSkpIUHBysgIAAde/eXZcuXcrVPvDomT9/jo4dO6L58+fk9VAAU7l9OyHd3wCAfybXwoC9vb2GDx+uFStWaN68eZozZ45OnTolSerdu7eWLFmiJUuWqGXLlpKkU6dOafny5Vq+fLmmT5+uMWPGyGq1ymq1auzYsZo+fbqWL1+uZcuW2dqZOHGievfurTVr1sjV1VULFiyQJM2fP1+urq5as2aNevfurYkTJ+ZaH3g08YIEAAA8CnItDHh5eal69eqSJGdnZ1WoUEHh4eH33H/dunXq0KGDnJycVLp0aZUtW1YHDx7UwYMHVbZsWZUuXVpOTk7q0KGD1q1bJ8MwtGPHDrVt21aS1KVLF61bt06StH79enXp0kWS1LZtW23fvl2GYeRKHwAAAMCDKk/WDFy6dEnHjh1T7dq1tXfvXv30009avHixatSooeHDh8vNzU3h4eGqXbu2rY63t7ctPBQrVixd+cGDB3Xjxg25urrKwcHBtk/a/uHh4SpevLgkycHBQS4uLrpx40au9OHh4XHP82Bvb5G7e8G/eRaRl+ztLba/+RkCuYdrDwCyV66HgVu3bmnw4MF655135OzsrGeffVaDBg2SxWLRF198oQkTJuijjz7K7WHlCavV0M2b8Xk9DPwNVqth+5ufIdIULlxQDg72eT0M03B05FznlJQUq27c4P824FHi6emSaXmuhoHk5GQNHjxYQUFBatOmjSSpaNGitu3du3fXwIEDJd15Nz4sLMy2LTw8XN7e3pKUaXnhwoUVExOjlJQUOTg4KCwszLa/t7e3rl69qmLFiiklJUWxsbEqXLhwrvSRF9zcC8nJkbvG5qS7352818WFfy4pOVXRN2/l9TCyzMHBXmdOn87rYTzSkpOTbX9zrnNOhYoV83oIAHJJroUBwzD07rvvqkKFCurTp4+tPCIiQl5eXpKktWvXqnLlypIkf39/vfHGG+rTp4/Cw8N17tw51apVS4Zh6Ny5c7p48aK8vb21fPlyTZo0SRaLRY0aNdKqVavUoUMHhYSEyN/f39ZWSEiI6tSpo1WrVqlx48ayWCy50kdecHK00/QV0XnSt1nExKfa/uZc55z+gW55PQQAAB5puRYG9uzZoyVLlsjHx0edOnWSJA0dOlTLli3T8ePHJUklS5bU2LFjJUmVK1dW+/btFRgYKHt7e40cOVL29nc+Eh45cqT69+8vq9Wqrl272gLEsGHDNGTIEH3++eeqVq2aunfvLknq1q2bhg0bpoCAALm5uWny5Mm51gcAAADwoLIY3PImzyQnW3NkvrmnpwvvVuewZd+9otgbV+VSuLg69v13Xg/nkdU/0E2RkbF5PYws8/R0YepKDnv3vfdsnyh/OG5cXg/nkVWhYsWH6toD8OfuNa2ZieUAgIdG/vz50/0NAPhnCAPA3+DgWCDd3wByR6cnn1QVHx91evLJvB4KADwS8uQ5A8DDrmazHjq++1dVrc8LEiA31apVS7Vq1crrYQDAI4MwAPwNJSvUV8kK9fN6GAAAAP8I04QAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADCpXAsDV69eVc+ePRUYGKgOHTpo1qxZkqSbN2+qT58+atOmjfr06aPo6GhJkmEYGjdunAICAhQUFKQjR47Y2goJCVGbNm3Upk0bhYSE2MoPHz6soKAgBQQEaNy4cTIMI8/7AAAAAB5UuRYG7O3tNXz4cK1YsULz5s3TnDlzdOrUKU2bNk1NmjTR6tWr1aRJE02bNk2StGnTJp07d06rV6/WBx98oNGjR0u686L7q6++0i+//KL58+frq6++sr3wHj16tD744AOtXr1a586d06ZNmyQpT/sAAAAAHlS5Fga8vLxUvXp1SZKzs7MqVKig8PBwrVu3Tp07d5Ykde7cWWvXrpUkW7nFYpGvr69iYmIUERGhLVu2qFmzZnJ3d5ebm5uaNWumzZs3KyIiQnFxcfL19ZXFYlHnzp21bt26dG3lRR8AAADAg8ohLzq9dOmSjh07ptq1aysqKkpeXl6SJE9PT0VFRUmSwsPDVaxYMVudYsWKKTw8PEO5t7d3puVp+0vK0z7ux97eInf3glk5ZYBpcY0AeYNrDzCHXA8Dt27d0uDBg/XOO+/I2dk53TaLxSKLxZKj/T9IfVithm7ejM/2/j09XbK9TSCv5MQ1klO49vAoeZiuPQB/7l6/o3L1bkLJyckaPHiwgoKC1KZNG0lSkSJFFBERIUmKiIiQh4eHpDvvxoeFhdnqhoWFydvbO0N5eHh4puVp++d1HwAAAMCDKtfCgGEYevfdd1WhQgX16dPHVu7v76/FixdLkhYvXqxWrVqlKzcMQ/v375eLi4u8vLzUvHlzbdmyRdHR0YqOjtaWLVvUvHlzeXl5ydnZWfv375dhGJm2lRd9AAAAAA+qXJsmtGfPHi1ZskQ+Pj7q1KmTJGno0KF66aWXFBwcrAULFqhEiRL6/PPPJUktW7bUxo0bFRAQoAIFCmj8+PGSJHd3dw0aNEjdunWTJL3yyityd3eXJI0aNUojRoxQQkKC/Pz85OfnJ0l52gcAAADwoLIYaTfKR65LTrbm2JqB6St4zgEefv0D3RQZGZvXw8gyT08XnTl9Oq+HAfxjFSpWfKiuPQB/7oFYMwAAAADgwUEYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACY1N8KAwkJCdq2bZsuX76c3eMBAAAAkEuyFAaGDx+un376SZKUlJSk7t27q2/fvmrXrp02btyYowMEAAAAkDOyFAa2bNkiX19fSdL69et169Ytbd26Va+99pq++uqrnBwfAAAAgBySpTAQHR2tIkWKSJI2b96sNm3aqEiRIgoMDNSpU6dydIAAAAAAckaWwoCnp6dOnjwpq9WqLVu2qEmTJpKk+Ph4OTo65ugAAQAAAOQMh6zs9NRTT2nIkCHy8vKSvb29LQwcOHBAFSpUyNEBAgAAAMgZWQoDr776qipXrqyrV6+qXbt2cnJyulPZwUH9+/fP0QECAAAAyBlZCgOS1LZt2wxlXbp0ydbBAAAAAMg9WX7OwMaNGzVgwAAFBgbq6tWrkqT58+dr+/btOTY4AAAAADknS2Hg119/VXBwsMqWLatLly4pJSVFkmS1WjV9+vQcHSAAAACAnJGlMDB9+nSNGzdO77zzjuzt7W3lvr6+OnbsWI4NDgAAAEDOyVIYOH/+vO2hY3crWLCg4uLisntMAAAAAHJBlsKAl5eXzp07l6F8165dKlOmTHaPCQAAAEAuyFIYePrppzVu3Djt2bNHknT16lWFhITo008/1bPPPpujAwQAAACQM7IUBl588UW1adNGffv21e3bt9WrVy+NGjVKPXr00L/+9a8sdTRixAg1adJEHTt2tJVNmTJFLVq0UKdOndSpUydt3LjRtm3q1KkKCAhQ27ZttXnzZlv5pk2b1LZtWwUEBGjatGm28osXL6p79+4KCAhQcHCwkpKSJElJSUkKDg5WQECAunfvrkuXLuVqHwAAAMCDKsu3Fh0yZIh27Nih+fPn65dfftH27dsVHByc5Y6eeuqpTO881Lt3by1ZskRLlixRy5YtJUmnTp3S8uXLtXz5ck2fPl1jxoyR1WqV1WrV2LFjNX36dC1fvlzLli3TqVOnJEkTJ05U7969tWbNGrm6umrBggWS7tz+1NXVVWvWrFHv3r01ceLEXOsDAAAAeJBlKQyMGDFCcXFxKlCggGrWrKlatWqpUKFCio+P14gRI7LUUYMGDeTm5palfdetW6cOHTrIyclJpUuXVtmyZXXw4EEdPHhQZcuWVenSpeXk5KQOHTpo3bp1MgxDO3bssD0YrUuXLlq3bp0kaf369baHo7Vt21bbt2+XYRi50gcAAADwIMvSE4gXL16sN998U87OzunKExIStGTJEn300Ud/ewA//fSTFi9erBo1amj48OFyc3NTeHi4ateubdvH29tb4eHhkqRixYqlKz948KBu3LghV1dXOTg42PZJ2z88PFzFixe/c7AODnJxcdGNGzdypQ8PD4/7Hru9vUXu7gX/xlkDzINrBMgbXHuAOdw3DNy8eVOGYcgwDEVHR6d7xkBqaqo2bNigIkWK/O3On332WQ0aNEgWi0VffPGFJkyY8I+CxcPGajV082Z8trfr6emS7W0CeSUnrpGcwrWHR8nDdO0B+HP3+h113zDQuHFjWSwWWSwWdejQIcN2i8Wi11577W8PqmjRoravu3fvroEDB0q68258WFiYbVt4eLi8vb0lKdPywoULKyYmRikpKXJwcFBYWJhtf29vb129elXFihVTSkqKYmNjVbhw4VzpAwAAAHiQ3XfNwOzZszVz5kwZhqEvv/xSs2bNsv2ZM2eOfv/9d7388st/u/OIiAjb12vXrlXlypUlSf7+/lq+fLmSkpJ08eJFnTt3TrVq1VLNmjV17tw5Xbx4UUlJSVq+fLn8/f1lsVjUqFEjrVq1SpIUEhIif39/W1shISGSpFWrVtkCTm70AQAAADzILEYWVrpevnxZJUqU+EcvcIcOHarQ0FDduHFDRYoU0WuvvabQ0FAdP35cklSyZEmNHTtWXl5ekqSvv/5aCxculL29vd555x3bnYY2btyo8ePHy2q1qmvXrrYwcvHiRQ0ZMkTR0dGqVq2aJk6cKCcnJyUmJmrYsGE6duyY3NzcNHnyZJUuXTrX+rif5GRrjk0Tmr4iOtvbBXJb/0A3RUbG5vUwsszT00VnTp/O62EA/1iFihUfqmsPwJ+71zShe4aBI0eOqFq1arKzs9ORI0fu23j16tX/+QhNiDAA3B9hAMgbhAHg0fOX1wx07dpVW7duVZEiRdS1a1dZLJZMb5dpsVh07Nix7BspAAAAgFxxzzCwbt06260x0+6nDwAAAODRcc8wULJkyUy/BgAAAPBoyNJDxyQpKSlJf/zxh6KiojJMF0pbeAsAAADg4ZGlMLB161a99dZbioqKyrCNNQMAAADAwylLYWDs2LF6/PHHNWjQIBUtWpR76AMAAACPgCyFgYiICA0cOJC1AwAAAMAj5L5PIE7zxBNPaO/evTk9FgAAAAC5KEufDIwZM0Zvvvmmjhw5osqVK8vR0THd9s6dO+fE2AAAAADkoCyFgc2bN2v79u3auHGjChQokG6bxWIhDAAAAAAPoSyFgU8++UT/+te/9Nprr6lgwYI5PSYAAAAAuSBLawZiYmL07LPPEgQAAACAR0iWwkDbtm21bdu2nB4LAAAAgFyUpWlCpUqV0uTJk7Vr1y5VqVIlwwLiPn365MjgAAAAAOScLIWBhQsXqlChQtq3b5/27duXbpvFYiEMAAAAAA+hLIWB9evX5/Q4AAAAAOSyLK0ZAAAAAPDouecnA+PGjdPQoUNVsGBBjRs37r6NvPfee9k+MOB/xdwI14o5oxUfe12SVLtJF9Vr2SPTfa9eOKqfvuinoJ7jVMW3lSRpw69f6szRrTIMQ+WqNJR/lzdksVh0bO8q7Vg7U5JFzm5F1eFfY1XQ2T1DmxdO7dH6kM+Uak1RAWd3PfvqVEnS7g1zdHDHElksFhUtXkntn31fDo75tOyH9xV28Zjs7R1UrEx1tXl6hOztM15yh0OXafua7yVJTQL6qEbDjpKksIvHtPLnsUpJTlSFak1t4719K1pLZ7+r6OtX5eZRXE++MF75C7r+w7ML3FtkZKQmTpqkGzduyGKxqH27dvd8vsyJkyc1dOhQDR8+XC2aN5ckzfjuO+3atUuS9GyPHmrZsqUkyTAMzZo9W1s2b5advb06BAaqU6dOGdq8V/19+/drxowZMgxD+fPn1xtDh6pEiRKaOm2aDh48KElKTEjQzehoLZg/P0O7ycnJ+s/XX+vQwYOy2NnphV691Lx5c0VERGjSZ58pLi5Oqamp6tOnjxo2aCBJmjdvnlatXi07Ozu9PHCg6tWr9w/OLADkvXuGgRMnTiglJcX2NZDX7Ozs9cSTr8u7dFUlJdzS7M96qWyVhiparEK6/VJTrdq0dIrKVWlkK7t89qAunz2o3m/NkSTN+fJFXTy9V6XK19b6kM/U5+15Kujsrg2/fql9W35Rs3YvpWsz4Xas1i74RN0GfCHXwsV067+BJPZmhPZunqc+b8+To1N+/TpzhI7vW6MaDTvqsXrt1OH5sZKkZT+8r4M7FqtOs27p2r19K1rbVk1Xz6GzZLFYNHtSL1Wq4af8BV21ZsHHavv0OypetoYWTgvW2ePbVaFaU+1cN0tlKzdQo9YvaOfaWdq5bpZaBr2W7ecbSGNvb68X+/dXpUqVFB8fr8GDB6tO3boqW6ZMuv2sVqu+/+471a1b11YWGhqq06dO6d9ffaXk5GS99fbbqt+ggQoVLKg1a9boWmSkpk2bJjs7O928eTND3/er/++vvtLIkSNVpkwZLVu2TD/Pnas3hg7VgJf+//pd8uuvOn36dKbHNXfePLm7uWn69OlKTU1VbGysJOnnuXPVokULdezQQecvXNDIkSPVcOZMnb9wQRs3bdI333yj61FRGvHOO5r+7beyt7fPhrMMAHnjnmHghx9+yPRrIK84uxWVs1tRSZJT/kIq4l1ecdGRGcLA3s2/qHJtf4VdOPr/hRbJmpIka0qyJCnVmqJCLh4ydOfdyeSk2zIMNyUl3FLhoqUz9H1szypVrvW4XAsXkyQVcvGwbUtNtSolOVH29g5KTk5QIdc7Y6zwWDPbPsXLPKa4mxEZ2j13YofKVmmkAoXcJEllqzTS2ePbVbpiPSUl3FKJcjUlSdUbBOqPQxtVoVpTnTq8ST1e+ea/5R00998DCQPIUR4eHvLwuPNvvmDBgipdpoyirl3LEAZ+XbpUzZo108k//rCVXbhwQTVq1JC9vb3s7e1Vvnx57dm9W35+flq+YoXefust2dndmbHq7u6eoe/71ZfFovj4eEnSrVu3VMTDI0P9jRs36vl//SvT41q9erW+nTZNkmRnZyc3tzvXoeWuduNv3VKRIkUkSTu2b1dLPz85OTqqWLFiKlGihE6ePKlq1apl+VwCwIPmH60ZOHfunLp16/bnOwLZLPr6FYVfOqHiZaunK4+9GaE/Dm1QnaZd05WXLFdLpSvV09ejAvWfUe1VvmpjFfEuL3t7BwV0e1szP3lOX48KVFT4WdVs/GSG/m5EXlBCfKzmfjVQsyf10uFdyyVJLu5eavD485o69kn9Z1Sg8uV3VvmqjdPVtVpTdGT3SpWv2iRDu7HRkXJ197J97+LupdjoSMVFR8jZ7a5yNy/FRd8JE/Gx122hqJBrEdu0KSA3hIeH6/Tp06pStWq68mvXrmnbtm3q0KFDuvLyFSpoz549SkhIUHR0tA4ePKjIa9ckSVevXtXGTZs0ePBgvf/++7p8+XKG/u5XP/j11zVy1Cg937On1q1fr+5PP51hrGFhYapdu3aGduPi4iRJs2fP1quvvaYPx4/XjRs3JEnP/+tf+n39ej3fs6dGjhqllwcOlCRFRUXJ09PT1kbRokV1LSrqL50/AHjQ/KMwkJCQoCNHjmTXWIAsSUqM15Lvh8u/y1Dly++cbtv6xZ+pZcdXZbFL/0/7RuRFXQ8/p4Gjl+nl0ct1/o/dunR6n6zWFO3ftlC93vxBL49ZIc8SlbVz7cwMfaamWhV+6bieenGyug34UttXf6frEeeVEB+jU4c36qX3F+vlMSuUnHRbR3avTFd37YKPVbpiHZWqWCfbz4XFYpEslmxvF8jM7du3Ne7DDzXgpZdU6H+eSD912jT17dvX9i5/mnp166p+gwZ648039fHHH6tq1aq2fZKTk+Xk5KQvv/xS7dq10+TPP8/Q5/3qhyxerLFjxujHH35Qm4AA27v8aTZu2qTmzZtnOo3HarXq2rVrqvbYY/pqyhRVq1pV06dPlyRt2LBBrQMC9OMPP2jsmDH6dOJEpaam/u3zBgAPsizdWhR4UFitKVry/duqVq+tfGo9kWF7+MVjWjr7zoL227du6uyxbbKzt9eNyIsqXq6GnPLdeQFToVpTXT53SPaO+SRJhYuWkiRV8W2lnetmZ2jXxc1L+Qu6ySlfATnlK6DSFX0VeeXOVAi3IiVU0LmwJKlyrSd05dxBVa/fXpK09bdvFR93Q537jMj0eFzcPHXh1F7b97E3I1SmUl053/VJgCTF3vVJQUEXD8VFX5OzW1HFRV+z9Q3kpJSUFI378EM98fjjatasWYbtf/zxhyZMmCBJiomJ0a5du2RvZ6emTZvq2R499GyPO4v9P/74Y5UsWVLSnXfWmzVtKklq2rSpPps8OdO+M6t/MzpaZ86cUdX/fkLh5+en995/P129jRs36pVBgzJt09XVVfny5bP136JFC61avVqStGr1ao374ANJUrVq1ZScnKyYmBgVKVJEkZGRtjauXbumov+dQgQADytuLYqHhmEY+m3uByriXV4NHs98DvBL7y/RgJF3/vjU9lfrrm+pcs07c/0vntqrVGuKrNYUXTy9V0W8y8vFzVNRYWcVH3dnesD5E6Eq4l0uQ7uVavrp8tn9SrWmKDkpQVfPH5GHd3m5FC6mK+cOKzkpQYZh6MLJXSridaf+wR2Lde7EDnXsOS7DJxVpylVprPMndighPkYJ8TE6f2KHylVpLGe3onLKX0hXzh2SYRg6smuFKtfwuzOWGn468t9pSkd2LVel/5YDOcUwDH3++ecqXbq0nnrqqUz3mfn995o1c6ZmzZyp5s2b65VXXlHTpk1ltVoVExMjSTp79qzOnjunev9dYNykSRMd+O9dfw4dOmQLCXe7V30XZ2fFx8fr0qVLkqR9+/apTOn/X+9z8eJFxcXF3XM+v8ViUaNGjWx3Hdq/f7/K/HcNhJenp/bv3y/pzpqFpKQkubm5qXHjxtq4aZOSkpMVFhamK1euyMfH5y+dSwB40PDJAB4al88e0NHdK1W0eCXN/PROGPDrMEgxN8IkSb7Nut6zrk9tf53/Y7e+/+Q5WSwWlavaWJVqtJAkNW3bXz9PGSA7ewe5FS6m9s+NlCTt37rQ1m4R7/IqX7WJZn76L1ksFtVs3EmexSv+t+1Wmj2pp+zs7OVVsopqNe0iSVo9/2O5Fi6mn77od2e/Wk+oadv+CrtwVPu3LVK7Hu+pQCE3NWnTTz9M7i1JatKmv20xcUDXt7Ty57FK/u+tRctXu/MOZqNWvfTrrHd0cOevci1cTE++MD7bzjGQmSNHj2rd+vUqV66cXnn1VUnSCy+8oMiIO59e/e86gbtZrVa9OWyYpDuLj4e9+aZt2s7T3bvrk08/1eKQEOUvUEDBr78uSTp58qRWrFih4ODg+9YfPHiwPvzwQ1ns7OTs7KwhwcG2fjdu3KiWLVvemUp3l1defVX//uorSVLfPn00ceJETZ02TW5ubho6ZIgkqf+LL+rLL75QyOLFslgsGjp0qCwWi8qWLasWLVpowIABsre316CXX+ZOQgAeehbDMIx7bQwKCrpv5cTERF28eFHHjh3L9oGZQXKyVTdvxmd7u56eLpq+Ijrb2wVyW/9AN0VGxub1MLLM09NFZ+5xG0vgYVKhYsWH6toD8Oc8PV0yLb/vJwNt27bNkcEAAAAAyHv3DQOv/vfjYAAAAACPHtYMAAByjdVq1eDXX1fRIkU0ZswY7d+/X9NnzFBKSooqVaqkIcHBGebhHzhwQNO+/db2/cWLFzX87bfVtGlThYWFacKECYqJjVXlSpX05ptvytHRUUt+/VUrV66Up6enRr7/vhwdHXX4yBFt3bo13ROKAcDsCAMwpdRUq3747AU5u3mq64uTdf6PXdqw5EulWpPlXaqq2vV4T3b2GS+PiUMbq+h/Fw67Fi6mp/pPkiT9NvcDhV08JsOQPDzLqP1zI+WUr6D2bpqnA9tD5FK4mLr0/VT2Do66dGa/Th5YL/8uQ3P1mIEHwZIlS1SmdGnFx8crNTVVkz77TB+NH69SpUpp9g8/aO3atRmmqNauXdu26Dc2NlZ9+/VT3f/ekei7775T5y5d9HjLlpoyZYpWrV6tjh066Pfff9d//v1vzZs3T3v27lWjhg31888/a/jbb+f6MQPAg4xbi8KU9myaa7uFqJGaqpVzxiio1zj1eXuuXD2K254w/L8cHPOp97Cf1HvYT7YgIElPdB6i3sPmqM9bc+RS2Fv7Ns+XJB3du0q9h81RyXI1dfb4DhmGoe2rZ6hJm345fozAgyby2jWF7tple7EfExsrBwcHlSp15zkfdevU0ZatW+/bxuYtW1S/fn3lz59fhmHowMGDatG8uSSpdevW2r59+50dDUMpVqsSExPlYG+v9evXq379+nJxyXwBHQCYFWEAphN7M1xnjm5VzcadJEm346NlZ+8oD6+ykqRyPg118uDvf6nNtCchG4ahlOREKe1uhoYha2qKkpMTZW/voKO7V6p8taa224cCZjJ16lT1u+spxW6urkq1WnXy5ElJ0pYtW3Ttrod6ZWbTxo16vGVLSXceblaoUCHbtKKiRYsqKipK0p274Q0ZMkQRkZF67LHHtGbNGgV17JhThwYADy2mCcF01odMVsug15SUeOe2rgUKuctItSrswlEVK/OYThxYr9ib4ZnWTUlJ0uxJvWRn76BGrXqpcs3HbdtW/jxWZ45uU5Fi5fVEp2BJUp3m3fXT531VpFgFlSxfSyEz3lS3gVNy+hCBB87OnTvl7u6uypUr2x70ZbFYNHz4cE379lslJyerbp06srvPffuvX79+56Fj9er9aX+tWrVSq1atJEk/zZmjJ598Urt379badevk6empF/v3t4USADCzLIeBlJQUHTx4UFevXlVycnK6bZ07d87ucQE54vSRzSroUljFSlfThVN7JN15QdKx1zitXzxZVmuyylVpJIsl8xcJA95fIhd3L928dlnz/jNIRYtXUuGid6Y4tH92pFJTrVq3aKKO71ujmo2CVL1BoKo3CJQkbVs1XXX9ntHZY9t0ZNcKubh76YlOwfd8OjHwKDl69Kh27NihXbt2KTk5WfHx8frk00/11rBhmvjpp5KkPXv36vLly/dsY9OmTWratKkcHO786nJ1ddWtW7dktVplb2+va9euqUiRIunqREVF6eSJE/rXc89p2FtvacJHH2nu3Lnav3+/bd0BAJhZlsLA6dOn9fLLL+vSpUsyDEP29vZKSUmRg4ODnJycCAN4aFw+e1CnDm/WmaPblJKSqKSEW1r240h1fH6snht8524lZ4/v0I2IC5nWd3H3kiS5Fy2p0pXqKuLSCVsYkCQ7O3tVrROg0PU/qGaj/39oX1x0pK5eOHLnacdfDdAzg/6j7au/0/k/dqlclUY5eMTAg6FPnz7q06ePJOngwYNauHCh3ho2TDdv3pS7u7uSkpM1f/589XjmmXu2sWHjRvXp3dv2vcViUa1atbR5yxY93rKl1q5dqyaNG6erM/uHH9SzZ09JUlJSkiwWiywWixITE7P/IAHgIZSltyTHjx+v6tWra/fu3cqfP79WrFihhQsXqlq1apoyhSkPeHj4dXxFL49epgEjlyio14cqU7m+Oj4/Vrdir0u6Mw0odP1s1W72VIa6CfExSklJkiTFx93U5bMHVaRYeRmGoRuRFyXdWTNw6vBmeXiVS1d3y8pv1LzdgDt9JCfKIossdnZKTkrIwaMFHnwLFi7USwMGaNCgQWrUqJF8fX0lSSdPntTnn39u2y88PFzXrl1TzZo109Xv26ePQkJC1LdfP8XExqrNXXciOvXfp0FXqlRJkvT444/r5UGDdPTYMdWrXz9nDwwAHhIWwzCMP9upUaNG+uGHH+Tj46N69epp/vz5qlChgkJDQ/XBBx9o6dKluTHWR05yslU3b8Zne7ueni6aviI629t91Fw4tUe7fv9RXV+crA2/fqnTR7bIMFLl26yr6rd8VpIUduGo9m9bpHY93tPlswe1ev5HslgsMgxD9fx6qFbjTjJSUzVnyktKSrwlGYY8S1RWQPe3bYuKwy+d0L4tv6hdj/clSbs3/qyD2xfLpbC3uvSbKAcHpzw7Bw+6/oFuioyMzethZJmnp4vO/PcFKPAwq1Cx4kN17QH4c56emd9NLUthoGHDhlq4cKFKly6tgIAAjR07Vk2aNNGFCxcUFBSkAwcOZPuAzYAwANwfYQDIG4QB4NFzrzCQpTUDlStX1vHjx1W6dGnVqlVL06dPl729vX755ReVKVMmWwcKAAAAIHdkac3AwIEDlfYBQnBwsK5cuaJevXpp69ateu+993J0gAAAAAByRpY+GWjRooXt69KlS2vlypW6efOm3NzcZLFY7lMTAAAAwIPqbz90zN3dPRuHAQAAACC3ZSkMJCUlac6cOdqxY4euX7+u1NTUdNsXLFiQI4MDAAAAkHOyFAbee+89bdiwQa1atVKlSpWYGgQAAAA8ArIUBtavX6///Oc/atiwYU6PBwAAAEAuydLdhIoUKaLChQvn9FgAAAAA5KIshYEhQ4bos88+U3Q0D7ICAAAAHhVZmibUvHlzzZs3T02bNlXRokXl4JC+2rp163JkcAAAAAByTpbCwFtvvaVTp06pV69eKlq0KAuIAQAAgEdAlsLAtm3bNGvWLNWuXTunxwMAAAAgl2RpzUDx4sXl5OSU02MBAAAAkIuyFAZGjBihTz/9VOfPn8/p8QAAAADIJVmaJvT6668rOTlZ7dq1k5OTk+zt7dNt37t3b44MDgAAAEDOyVIYGDlyZE6PAwAAAEAuy1IY6NKlS06PAwAAAEAuy1IYkKSkpCT9+uuvOn36tCSpcuXK6tixIwuLAQAAgIdUlsLAqVOn1L9/f8XFxcnHx0eSNH/+fE2ZMkXTp09XxYoVc3SQAAAAALJflu4m9OGHH6patWrasGGD5syZozlz5mjDhg2qUqWKxo8fn9NjBAAAAJADshQG9u7dq6FDh8rZ2dlW5uzsrCFDhmjPnj05NjgAAAAAOSdLYSBfvnyKiYnJUB4bG6t8+fJl+6AAAAAA5LwshYEnnnhC77//vvbs2SOr1Sqr1ardu3dr1KhR8vf3z+kxAgAAAMgBWVpA/O677+rtt9/Wv/71L9sDx1JTU+Xv76933nknRwcIAAAAIGdkKQy4urrq66+/1vnz5223Fq1YsaLKli2bo4MDAAAAkHOy/JwBSSpbtqzKli2rlJQUJSYm5tSYAAAAAOSC+64Z2L59u1asWJGubNq0aapTp44aNGigfv36ZbqwGAAAAMCD775hYNq0aQoPD7d9f/DgQX322Wfq1KmThg0bphMnTujrr7/O8UECAAAAyH73DQMnT55UgwYNbN+vXLlSderU0bhx49SnTx+9++67Wr9+fY4PEgAAAED2u28YiImJUZEiRWzf79u3Ty1atLB9X7NmTUVEROTc6AAAAADkmPuGAU9PT124cEGSlJSUpKNHj6pOnTq27bdu3ZKTk1POjhAAAABAjrhvGPDz89Onn36q7du369NPP1WBAgVUr1492/YTJ06oTJkyOT5IAAAAANnvvmFg8ODBypcvn/r06aOFCxdq3Lhx6T4JWLhwoZo2bZrjgwQAAACQ/e77nAEPDw/99NNPio2NVcGCBW1PH07zxRdfqGDBgjk6QAAAAAA5I0sPHXNxccm03N3dPTvHAgAAACAX3XeaUHYaMWKEmjRpoo4dO9rKbt68qT59+qhNmzbq06ePoqOjJUmGYWjcuHEKCAhQUFCQjhw5YqsTEhKiNm3aqE2bNgoJCbGVHz58WEFBQQoICNC4ceNkGEae9wEAAAA8yHItDDz11FOaPn16urJp06apSZMmWr16tZo0aaJp06ZJkjZt2qRz585p9erV+uCDDzR69GhJd150f/XVV/rll180f/58ffXVV7YX3qNHj9YHH3yg1atX69y5c9q0aVOe9wEAAAA8yHItDDRo0EBubm7pytatW6fOnTtLkjp37qy1a9emK7dYLPL19VVMTIwiIiK0ZcsWNWvWTO7u7nJzc1OzZs20efNmRUREKC4uTr6+vrJYLOrcubPWrVuX530AAAAAD7IsrRnIKVFRUfLy8pJ055kGUVFRkqTw8HAVK1bMtl+xYsUUHh6eodzb2zvT8rT987qPP2Nvb5G7OwuwgfvhGgHyBtceYA55GgbuZrFYZLFYTNWH1Wro5s34bB+Dp2fmC76Bh1FOXCM5hWsPj5KH6doD8Ofu9Tsq16YJZaZIkSKKiIiQJEVERMjDw0PSnXfjw8LCbPuFhYXJ29s7Q3l4eHim5Wn753UfAAAAwIMsT8OAv7+/Fi9eLElavHixWrVqla7cMAzt379fLi4u8vLyUvPmzbVlyxZFR0crOjpaW7ZsUfPmzeXl5SVnZ2ft379fhmFk2lZe9AEAAAA8yHJtmtDQoUMVGhqqGzduyM/PT6+99ppeeuklBQcHa8GCBSpRooQ+//xzSVLLli21ceNGBQQEqECBAho/frykO881GDRokLp16yZJeuWVV2zPOhg1apRGjBihhIQE+fn5yc/PT5LytA8AAADgQWYx0m6Wj1yXnGzNsTUD01fwrAM8/PoHuikyMjavh5Flnp4uOnP6dF4PA/jHKlSs+FBdewD+3AO5ZgAAAABA3iEMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACZFGAAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAk3ogwoC/v7+CgoLUqVMnPfXUU5Kkmzdvqk+fPmrTpo369Omj6OhoSZJhGBo3bpwCAgIUFBSkI0eO2NoJCQlRmzZt1KZNG4WEhNjKDx8+rKCgIAUEBGjcuHEyDCPX+gAAAAAeVA9EGJCkWbNmacmSJVq0aJEkadq0aWrSpIlWr16tJk2aaNq0aZKkTZs26dy5c1q9erU++OADjR49WtKdF/ZfffWVfvnlF82fP19fffWV7cX96NGj9cEHH2j16tU6d+6cNm3alGt9AAAAAA+qByYM/K9169apc+fOkqTOnTtr7dq16cotFot8fX0VExOjiIgIbdmyRc2aNZO7u7vc3NzUrFkzbd68WREREYqLi5Ovr68sFos6d+6sdevW5VofAAAAwIPKIa8HkKZfv36yWCx65pln9MwzzygqKkpeXl6SJE9PT0VFRUmSwsPDVaxYMVu9YsWKKTw8PEO5t7d3puVp+0vKlT7ux97eInf3glk/SYAJcY0AeYNrDzCHByIM/Pzzz/L29lZUVJT69OmjChUqpNtusVhksVhydAy50cf/sloN3bwZn+3tenq6ZHubQF7JiWskp3Dt4VHyMF17AP7cvX5HPRDThLy9vSVJRYoUUUBAgA4ePKgiRYooIiJCkhQRESEPDw/bvmFhYba6YWFh8vb2zlAeHh6eaXna/mn95XQfAAAAwIMqz8NAfHy84uLibF9v3bpVlStXlr+/vxYvXixJWrx4sVq1aiVJtnLDMLR//365uLjIy8tLzZs315YtWxQdHa3o6Ght2bJFzZs3l5eXl5ydnbV//34ZhpFpWznZBwAAAPCgyvNpQlFRUXrllVckSVarVR07dpSfn59q1qyp4OBgLViwQCVKlNDnn38uSWrZsqU2btyogIAAFShQQOPHj5ckubu7a9CgQerWrZsk6ZVXXpG7u7skadSoURoxYoQSEhLk5+cnPz8/SdJLL72U430AAAAADyqLwQ3x80xysjXH1gxMXxGd7e0Cua1/oJsiI2PzehhZ5unpojOnT+f1MIB/rELFig/VtQfgzz3QawYAAAAA5D7CAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJkUYAAAAAEyKMAAAAACYFGEAAAAAMCnCAAAAAGBShAEAAADApAgDAAAAgEkRBgAAAACTIgwAAAAAJuWQ1wMAAADAX5eYmKhXX31RSUnJslqteuKJVurXb4B27w7Vf/7zhVJTDRUoUEDvvjtapUqVTlc3JSVFEyZ8oJMnj8tqtapduw7q2bOPJCk2NlYff/yBzpw5LYvFohEjRqpGjVqKiYnWyJEjFBZ2VcWKFdfYsRPk6uqaYVwrVy7TrFkzJEkvvNBP7dt3lCQdP35M48ePVmJiopo0aabXX39TFosly+0iZ/DJAAAAwEPIyclJX3zxjWbN+lkzZ87Rjh3bdPjwIU2cOEEjR47TzJlzFBDQzvbC/G7r169VcnKSZs+epxkzftSSJYt09eoVSdIXX0xUo0ZNNWfOQs2c+bPKli0vSfrxx5mqV6+h5s4NUb16DfXjjzMztBsTE63vvvtW06bN1LRps/Tdd98qJiZGkjRp0kd66633NHduiC5evKgdO7ZluV3kHMIAAADAQ8hisahgwYKS7rzTb7WmyGKxyGKRbt26JUm6dStORYt6ZlJXun07QSkpKUpMTJCDg6MKFSqkuLg4HTiwTx07dpIkOTo6ysXFRZK0efNG27v87dt31ObNGzK0u3PndjVo0FCurm5ydXVVgwYNtXPnNl27dk23bt1SjRo1ZbFY1K5doK1+VtpFzmGaEAAAwEPKarWqX7+eunz5orp06a7q1Wto+PD3NWzY68qXL58KFSqkqVO/z1DviSdaa8uWjercuZ0SEhL02mtD5erqpj/+OCF3d3eNHz9Gp06dVJUq1fT662+qQIECunHjuooWLSpJKlKkiG7cuJ6h3cjISHl5edu+9/LyVmRkpK5di5CnZ/rya9ciJSlL7SLn8MkAAADAQ8re3l4zZ87RokUrdOzYEZ05c0rz5s3Rp59+oZCQFQoMDNKUKZMz1Dt69LDs7Oy1ePFvmj//V82d+6MuX74kq9WqkydPqHPnbvr++znKn79AptN2LBaLJEu2H09OtYt7IwwAAAA85FxcXFS3bn3t2LFNp06dVPXqNSRJ/v5tdPjwwQz7r1mzSo0aNZGDg4MKF/ZQzZq1dfz4MXl6esnT08tW/4knWunkyeOSpMKFPXTt2jVJ0rVr11S4cOEM7Xp6eioiItz2fUREuDw9PVW0qJciI9OXp01fykq7yDmEAQAAgIfQjRs3FBsbK0lKTEzQrl07VbZsed26FacLF85Lknbv3qGyZctlqOvt7a29e3dLkm7fvq2jRw+rbNlyKlKkqLy8vHXhwrn/1g9VuXIVJEnNm7fUypXLJN25Y1CLFi0ztNuoURPt2rVTMTExiomJ0a5dO9WoURMVLVpUhQoV0uHDh2QYhn77bYWtflbaRc6xGIZh5PUgzCo52aqbN+OzvV1PTxdNXxGd7e0Cua1/oJsiI2PzehhZ5unpojOnT+f1MIB/rELFig/VtWdWp079oQ8/HKXU1FSlpqbK3z9Affq8qI0bf9eMGd/IYrGTi4uLRowYqZIlS2nLlo06fvyY+vcfqPj4eI0fP0bnzp2VZCgwMEjPPddLkvTHHyc0YcI4paQkq0SJkhoxYpRcXV0VHX1TI0eOUHh4mLy9i+uDDz6Sq6ubjh8/qsWLF2r48PclScuWLdEPP9xZp9CrV1916PCkJOn48aP68MM7txZt3Liphgx5SxaL5Z7tInt5erpkWk4YyEOEAeD+CANA3iAMAI+ee4UBpgkBAAAAJkUYAAAAAEyK5wwAAACYyI4d2/TFFxOVmpqqjh07q2fP3um2f/nlJO3du0eSlJCQoJs3r+u33zZo797d+vLLz2z7XbhwTqNHj5ef3+MaM+Y9nTlzSk2bttCAAa9IkmbOnK4KFSrJz+/x3Do0/A2EAQAAAJOwWq367LOPNXnyv+Xl5a3+/XupeXM/lS9fwbbP4MFv2L5esGCuTp48IUmqW7e+Zs6cI0mKiYnWM890UcOGjXXq1B/Kly+fZs2aq+DgQYqLi1NCQoKOHj2i3r375+4B4i9jmhAAAIBJHDt2RKVKlVbJkqXk6Oio1q3baMuWjffcf+3a1QoIaJuh/Pff16lx46bKnz+/HBwclJiYqNTUVKWkpMjOzk4zZnyjfv0G5OShIJsQBgAAAEwiMjJCXl7etu89Pb0UGRmR6b5hYVd19epl1a3bQHv37taYMe/ank2wbt1qtW59JySUK1de7u6F1bfv82rWzE+XL19UamqqqlSpmvMHhH+MaUIAAOCh5+GeX/aOjnk9jAeeq2sB5c/vaLvNpItLfhUo4JTpbSdDQn5W+/btVayYu0aPnqc//vhDKSlJqlOnus6ePa0OHQLk+N9zPm7caFu9gQMHasyYMVqw4EcdP35czZo109NPP50rx/ewsyYn6/rNhFztkzAAAAAeevaOjroy65O8HsYDz/5SuM7t2Wc7V39sO6ACUqbnbsmPIXq9bVNdmfWJkqPCJUnJUeGaO+ZNNS3rpcg5kzPU2XLyvMok39S5n77U8e0H9HZHPw377hvVjzml/I687PwzJV54S1LuhgGmCQEAAJhE1RKeunwjRldvxirZatX6o2fUtHKZDPtduHZTsQlJql7SS5LU1beSqnkXVlffSlp/9IxaPVYhQ50Ua6oWhh5Rjya1lJiSIovFIklKNQylWK05e2D424hoAAAAJmFvZ6fBbZrorbm/KTXVUPvaPirvWVjfbdyjKsWLqplPWUnS+qNn5P9YBdsLet9SnvIt5amwm7GKjLml2mWLZ2h78Z6jalurkvI7Oqiil4cSk1PU99tFalSxlJzz58vV40TWEQay0aZNm/Thhx8qNTVV3bt310svvZTXQwIAAEincaXSalypdLqyvi3rpfu+t1/dTOsWc3fR/MHPZrqtW8Matq8tFove7/zEPxwpcgPThLKJ1WrV2LFjNX36dC1fvlzLli3TqVOn8npYAAAAwD0RBrLJwYMHVbZsWZUuXVpOTk7q0KGD1q1bl9fDAgAAAO6JaULZJDw8XMWKFbN97+3trYMHD963jqOjfaa38soO/QPdcqRdILfl1DWSUypUrJjXQwCyxcN27Ulpd2IBHm65fe3xyQAAAABgUoSBbOLt7a2wsDDb9+Hh4fL29r5PDQAAACBvEQaySc2aNXXu3DldvHhRSUlJWr58ufz9/fN6WAAAAMA9sWYgmzg4OGjkyJHq37+/rFarunbtqsqVK+f1sAAAAIB7shiGYeT1IAAAAADkPqYJAQAAACZFGAAAAABMijAA5JApU6ZoxowZeT0M4KHUs2dPHTp0SJL0zTffZKnOiy++qJiYmJwcFmA6ixYtUnh4eF4PAzmIMAAAeKBNnTo1S/t9++23cnV1TVdmGIZSU1NzYliAKYSEhCgiIiLTbVarNZdHg5zA3YRgSosXL9aMGTNksVhUpUoVtW/fXl9//bWSk5Pl7u6uiRMnqmjRogoNDdWHH34oSbJYLPrxxx9lsVg0aNAgxcTEKCUlRa+//rpat24tSfr666+1ePFieXh4qHjx4qpevbok6dixYxo1apRu376tMmXKaPz48XJz4ynRMJf4+HgFBwcrLCxMqampGjRokAoXLqyPP/5YVqtVNWrU0JgxY+Tk5GSrM3HiRCUkJKhTp06qVKmSJk2apCVLluiHH35QcnKyateurVGjRsne3l7+/v5asGCB4uPj1a9fP9WuXVtHjhzRtGnT9OOPP2rz5s2yWCx6+eWXFRgYmIdnAshb33//vRYuXChJ6tatm1q3bq2BAwdq2bJlkqQZM2YoPj5elStX1uHDh/Xmm28qf/78mjdvngIDA9W+fXtt27ZN/fv3l2EYmjp1qgzDUMuWLTVs2DBZrVa9++67Onz4sCwWi7p27arevXvn4RHjvgzAZE6ePGm0adPGiIqKMgzDMG7cuGHcvHnTSE1NNQzDMH755Rfjo48+MgzDMAYMGGDs3r3bMAzDiIuLM5KTk43k5GQjNjbWMAzDiIqKMlq3bm2kpqYahw4dMjp27GjEx8cbsbGxRuvWrY3p06cbhmEYHTt2NHbu3GkYhmF8/vnnxrhx43L1mIEHwW+//Wa8++67tu9jYmIMPz8/48yZM4ZhGMawYcOM77//3jAMw3j++eeNgwcPGoZhGL6+vrY6p06dMgYMGGAkJSUZhmEYo0aNMkJCQgzDMIwnnnjCiIqKMi5evGhUqVLF2Ldvn63f3r17GykpKUZkZKTRsmVLIzw8PIePFngwpf2uunXrlhEXF2cEBgYaR44cMTp06GDbZ/r06caXX35pGEb6a9Ew7lxn06ZNMwzDMMLCwoyWLVsaUVFRRnJystGzZ09jzZo1xqFDh4zevXvb6kRHR+fS0eHvYJoQTGfHjh1q166dPDw8JEnu7u4KCwtTv379FBQUpOnTp+uPP/6QJNWtW1cTJkzQ7NmzFRsbKwcHBxmGoc8++0xBQUHq06ePwsPDde3aNe3evVutW7dWgQIF5OzsbHvoXGxsrGJjY9WwYUNJUpcuXbR79+68OXggD/n4+Gjbtm369NNPtXv3bl2+fFmlSpVS+fLlJWXt2ti+fbsOHz6sbt26qVOnTtq+fbsuXryYYb8SJUrI19dXkrRnzx516NBB9vb2Klq0qBo0aGBbjwCYzZ49e9S6dWsVLFhQhQoVUkBAwF/+nZT2ydqhQ4fUsGFDeXh4yMHBQUFBQdq1a5dKly6tixcv6oMPPtCmTZvk7OycE4eCbMI0IUDSuHHj1Lt3b7Vq1Uo7d+7UV199JUl66aWX1LJlS23cuFHPPvuspk+frgMHDuj69etatGiRHB0d5e/vr8TExDw+AuDBV758eS1atEgbN27U559/rsaNG//lNgzDUJcuXfTGG2/cd7+CBQv+3WECphMTE5Nubc2f/U4rUKDAfbe7ublpyZIl2rJli+bOnauVK1fqo48+ypaxIvvxyQBMp3Hjxvrtt99048YNSdLNmzcVGxsrb29vSXfWE6S5cOGCqlSpopdeekk1a9bU2bNnFRsbqyJFisjR0VE7duzQ5cuXJUkNGjTQ2rVrlZCQoLi4OP3++++SJBcXF7m6utreeVmyZIkaNGiQi0cMPBjCw8NVoEABderUSf369dO+fft0+fJlnT9/XtK9rw0HBwclJydLkpo0aaJVq1YpKipK0p3rN+0avJf69etr5cqVslqtun79unbv3q1atWpl89EBD4f69etr7dq1un37tuLj47V27Vr5+fkpKipKN27cUFJSkjZs2GDbv1ChQrp161ambdWqVUu7du3S9evXZbVatXz5cjVo0EDXr1+XYRhq27atgoODdfTo0Vw6OvwdfDIA06lcubIGDhyonj17ys7OTo899pheffVVvf7663Jzc1OjRo106dIlSdKsWbO0c+dOWSwWVa5cWX5+foqLi9PLL7+soKAg1ahRQxUqVJAkVa9eXYGBgerUqZM8PDxUs2ZNW58ff/yxbQFx6dKleYcEpnTy5El98sknsrOzk4ODg0aPHq24uDi9/vrrtgXEzz77bIZ6Tz/9tJ588kk99thjmjRpkoKDg9W3b1+lpqbK0dFRI0eOVMmSJe/Zb0BAgPbt26dOnTrJYrFo2LBh8vT0zMlDBR5Y1atX11NPPaXu3btLurOAuFatWnrllVfUvXt3eXt7236vSXem740aNcq2gPhuXl5eeuONN/TCCy/YFhC3bt1ax48f14gRI2yfNgwdOjT3DhB/mcUwDCOvBwEAAAAg9zFNCAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAeWDNmzLA9zTun9ezZU2PHjs3y/lOmTFHHjh3v+T0APAx4zgAAIJ3hw4crJCQkQ3nt2rX1yy+/ZKn+jRs3NHXq1JwY3t8SFxen6dOna/Xq1bp06ZKcnZ1VsWJFPfPMMwoMDJSdnZ2mTJkiB4es/1rs27evnn/++RwcNQDkPMIAACCDpk2b6pNPPklX5ujomEej+WdiYmL03HPPKTo6WsHBwapVq5YcHR21Z88e/ec//5Gvr69KlSold3f3v9RuoUKFVKhQoZwZNADkEsIAACADJyen+z6ld+7cufr+++915coVFSxYUDVq1NDUqVP19ddf2z5VqFKliiRp9uzZatSokSZOnKg1a9bo6tWrKlq0qNq1a6fXX39d+fLls7X77bffaubMmYqPj1dAQIBKly6drt/U1FR9/fXX+uWXXxQVFaXy5cvr9ddfV+vWre851s8++0yXLl3Sb7/9pmLFitnKy5Url25aT8+ePVW5cmWNHDlSn332mbZs2aJFixala6tHjx6qUaOG3nvvPU2ZMkWrVq3SsmXLsnBGAeDBRBgAAPwlhw4d0tixYzVhwgTVq1dPsbGx2rFjh6Q7U2dOnz6t6Oho2ycLbm5ukqQCBQpo/Pjx8vb21unTpzVq1Cg5OTkpODhYkrRixQp98cUXeu+999SoUSP99ttv+vbbb9O9Yz979mzNmDFDY8aMUY0aNfTrr7/qtdde06JFi1StWrUMY01NTdWKFSsUFBSULgikuTuI3O3JJ5/U1KlTdfr0aVWsWFGSdPHiRe3bt0/vvPPO3z53APCgYQExACCDzZs3q06dOun+fPrpp5Kkq1evqkCBAvL391fJkiVVtWpV9e7dWw4ODipUqJDy589v+2TB09NTTk5OkqRXXnlF9erVU6lSpdSyZUsNGDBAy5cvt/U5e/Zsde7cWT169FD58uX18ssvq1atWunGNWPGDPXt21dBQUG2TwXq16+vGTNmZHocN27cUHR0tO0FfVZVqlRJjz32mJYuXWorW7p0qcqVK5dhTADwMOOTAQBABvXr19cHH3yQrszFxUXSnfUEJUqUUKtWrdS8eXM1b95cAQEBcnZ2vm+bv/32m2bNmqULFy4oPj5eVqtVqamptu2nT59Wt27d0tXx9fXVhQsXJN1ZBBwREaF69eql26du3bratGlTpn0ahpG1A87Ek08+qZ9++sn2ycXSpUsVFBT0t9sDgAcRnwwAADIoUKCAypYtm+6Ph4eHJMnZ2VkhISH6/PPPVaJECU2dOlXt27dXeHj4Pdvbv3+/hg4dqubNm9vWFQQHBys5OTlbxmuxWDIt9/DwkKurq06fPv2X2+zQoYOuXLmiffv26ciRIzpz5ow6der0T4cKAA8UwgAA4C9zcHBQkyZN9MYbb+jXX3/V7du3tWHDBkl37jpktVrT7b937155e3vrlVdeUa1atVSuXDlduXIl3T4VK1bUgQMH0pXd/b2zs7O8vLy0Z8+eDG3faxqQnZ2dAgMDtXTpUoWFhWXYnpiYqMTExEzrenl5qXHjxlq6dKmWLl2qOnXqZFjQDAAPO6YJAQAySEpKUmRkZLoye3t7eXh46Pfff9eFCxfUoEEDubm5aefOnbp165btBXnJkiW1adMmnTlzRu7u7nJxcVG5cuUUHh6uX3/9VXXq1NHmzZsz3IWnV69eeuutt1SzZk01bNhQq1at0oEDB9ItIO7Xr5++/PJLlStXTtWrV9evv/6q3bt3Z/pchDRDhgxRaGiounfvbru1qJOTk/bt26dvv/1WU6dOValSpTKt++STT2rChAlydHTUwIED/+bZBIAHF2EAAJDBtm3b1Lx583Rl3t7e2rRpk1xcXLR27Vr95z//0e3bt1WmTBmNGzdO9evXlyQ9/fTTCg0NVdeuXRUfH6/Zs2fL399f/fr10/jx45WYmKhmzZpp8ODBGjNmjK39wMBAXbx4UZMnT1ZCQoL8/f3Vp0+fdC/0e/XqpVu3bunTTz+13Vp0ypQpqlq16j2Pxd3dXb/88oumT5+ub7/9VpcvX5azs7MqVaqkQYMGqUSJEvesGxAQoNGjRysuLk6BgYF/93QCwAPLYvyT1VUAAAAAHlqsGQAAAABMijAAAAAAmBRhAAAAADApwgAAAABgUoQBAAAAwKQIAwAAAIBJEQYAAAAAkyIMAAAAACb1fzb2+busxTvvAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('darkgrid')\n",
+    "ax = sns.barplot( data=df, x=\"estado_civil\", y=\"limite\", palette='coolwarm', estimator= np.sum)\n",
+    "ax.figure.set_size_inches(12, 8)\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
+    "for p in ax.patches:\n",
+    "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
+    "    x = p.get_x() + p.get_width()/2\n",
+    "    y = p.get_height() /2\n",
+    "    ax.annotate(valores, (x, y),ha='center')\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "plt.suptitle('Soma dos limites por Estado Civil', fontsize=22)\n",
+    "plt.ylabel('Soma Limites', size=14)\n",
+    "plt.xlabel('Estado Civil', size=14)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "ffa23b7a-e347-45c4-9f4d-827338ec3d98",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('darkgrid')\n",
+    "ax = sns.barplot( data=df, x=\"estado_civil\",hue='sexo', y=\"limite\", palette='coolwarm', estimator= np.sum)\n",
+    "ax.figure.set_size_inches(12, 8)\n",
+    "total = float(sum([p.get_height() for p in ax.patches]))\n",
+    "for p in ax.patches:\n",
+    "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
+    "    x = p.get_x() + p.get_width()/2\n",
+    "    y = p.get_height() /2\n",
+    "    ax.annotate(valores, (x, y),ha='center')\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "plt.suptitle('Soma dos limites por Estado Civil e Sexo', fontsize=22)\n",
+    "plt.ylabel('Soma Limites', size=14)\n",
+    "plt.xlabel('Estado Civil', size=14)\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "290b7c73-d152-4d22-8e18-28d8508c44cd",
@@ -2536,9 +2732,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 33,
    "id": "eaa8f2a9-2291-4b40-9f4e-788896d272e5",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2571,200 +2772,205 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 34,
    "id": "0446159f-6f13-4d82-870a-1a9e61834568",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
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        "  background-color: #9ac8e0;\n",
        "  color: #000000;\n",
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        "  background-color: #a5cde3;\n",
        "  color: #000000;\n",
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        "  background-color: #b3d3e8;\n",
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        "  background-color: #b9d6ea;\n",
        "  color: #000000;\n",
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        "  background-color: #bdd7ec;\n",
        "  color: #000000;\n",
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        "  background-color: #c4daee;\n",
        "  color: #000000;\n",
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        "  background-color: #cde0f1;\n",
        "  color: #000000;\n",
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        "  background-color: #d2e3f3;\n",
        "  color: #000000;\n",
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        "  background-color: #d0e1f2;\n",
        "  color: #000000;\n",
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        "  background-color: #d9e7f5;\n",
        "  color: #000000;\n",
        "}\n",
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+       "#T_0d676_row34_col0 {\n",
        "  background-color: #ddeaf7;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row35_col0 {\n",
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        "  background-color: #e1edf8;\n",
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        "  background-color: #e8f1fa;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row38_col0 {\n",
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        "  background-color: #edf4fc;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row40_col0 {\n",
+       "#T_0d676_row40_col0 {\n",
        "  background-color: #f1f7fd;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row41_col0 {\n",
+       "#T_0d676_row41_col0 {\n",
        "  background-color: #f2f8fd;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row42_col0, #T_a8936_row43_col0 {\n",
+       "#T_0d676_row42_col0, #T_0d676_row43_col0 {\n",
        "  background-color: #f4f9fe;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row44_col0, #T_a8936_row45_col0 {\n",
+       "#T_0d676_row44_col0, #T_0d676_row45_col0 {\n",
        "  background-color: #f5f9fe;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row46_col0, #T_a8936_row48_col0 {\n",
+       "#T_0d676_row46_col0, #T_0d676_row48_col0 {\n",
        "  background-color: #f5fafe;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row47_col0, #T_a8936_row50_col0, #T_a8936_row51_col0, #T_a8936_row52_col0, #T_a8936_row53_col0, #T_a8936_row54_col0, #T_a8936_row55_col0 {\n",
+       "#T_0d676_row47_col0, #T_0d676_row50_col0, #T_0d676_row51_col0, #T_0d676_row52_col0, #T_0d676_row53_col0, #T_0d676_row54_col0, #T_0d676_row55_col0 {\n",
        "  background-color: #f7fbff;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_a8936_row49_col0 {\n",
+       "#T_0d676_row49_col0 {\n",
        "  background-color: #f6faff;\n",
        "  color: #000000;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_a8936\">\n",
+       "<table id=\"T_0d676\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_a8936_level0_col0\" class=\"col_heading level0 col0\" >Quantidades</th>\n",
+       "      <th id=\"T_0d676_level0_col0\" class=\"col_heading level0 col0\" >Quantidades</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >idade</th>\n",
@@ -2773,237 +2979,237 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row0\" class=\"row_heading level0 row0\" >21</th>\n",
-       "      <td id=\"T_a8936_row0_col0\" class=\"data row0 col0\" >67</td>\n",
+       "      <th id=\"T_0d676_level0_row0\" class=\"row_heading level0 row0\" >21</th>\n",
+       "      <td id=\"T_0d676_row0_col0\" class=\"data row0 col0\" >67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row1\" class=\"row_heading level0 row1\" >22</th>\n",
-       "      <td id=\"T_a8936_row1_col0\" class=\"data row1 col0\" >560</td>\n",
+       "      <th id=\"T_0d676_level0_row1\" class=\"row_heading level0 row1\" >22</th>\n",
+       "      <td id=\"T_0d676_row1_col0\" class=\"data row1 col0\" >560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row2\" class=\"row_heading level0 row2\" >23</th>\n",
-       "      <td id=\"T_a8936_row2_col0\" class=\"data row2 col0\" >931</td>\n",
+       "      <th id=\"T_0d676_level0_row2\" class=\"row_heading level0 row2\" >23</th>\n",
+       "      <td id=\"T_0d676_row2_col0\" class=\"data row2 col0\" >931</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row3\" class=\"row_heading level0 row3\" >24</th>\n",
-       "      <td id=\"T_a8936_row3_col0\" class=\"data row3 col0\" >1127</td>\n",
+       "      <th id=\"T_0d676_level0_row3\" class=\"row_heading level0 row3\" >24</th>\n",
+       "      <td id=\"T_0d676_row3_col0\" class=\"data row3 col0\" >1127</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row4\" class=\"row_heading level0 row4\" >25</th>\n",
-       "      <td id=\"T_a8936_row4_col0\" class=\"data row4 col0\" >1186</td>\n",
+       "      <th id=\"T_0d676_level0_row4\" class=\"row_heading level0 row4\" >25</th>\n",
+       "      <td id=\"T_0d676_row4_col0\" class=\"data row4 col0\" >1186</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row5\" class=\"row_heading level0 row5\" >26</th>\n",
-       "      <td id=\"T_a8936_row5_col0\" class=\"data row5 col0\" >1256</td>\n",
+       "      <th id=\"T_0d676_level0_row5\" class=\"row_heading level0 row5\" >26</th>\n",
+       "      <td id=\"T_0d676_row5_col0\" class=\"data row5 col0\" >1256</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row6\" class=\"row_heading level0 row6\" >27</th>\n",
-       "      <td id=\"T_a8936_row6_col0\" class=\"data row6 col0\" >1477</td>\n",
+       "      <th id=\"T_0d676_level0_row6\" class=\"row_heading level0 row6\" >27</th>\n",
+       "      <td id=\"T_0d676_row6_col0\" class=\"data row6 col0\" >1477</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row7\" class=\"row_heading level0 row7\" >28</th>\n",
-       "      <td id=\"T_a8936_row7_col0\" class=\"data row7 col0\" >1409</td>\n",
+       "      <th id=\"T_0d676_level0_row7\" class=\"row_heading level0 row7\" >28</th>\n",
+       "      <td id=\"T_0d676_row7_col0\" class=\"data row7 col0\" >1409</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row8\" class=\"row_heading level0 row8\" >29</th>\n",
-       "      <td id=\"T_a8936_row8_col0\" class=\"data row8 col0\" >1605</td>\n",
+       "      <th id=\"T_0d676_level0_row8\" class=\"row_heading level0 row8\" >29</th>\n",
+       "      <td id=\"T_0d676_row8_col0\" class=\"data row8 col0\" >1605</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row9\" class=\"row_heading level0 row9\" >30</th>\n",
-       "      <td id=\"T_a8936_row9_col0\" class=\"data row9 col0\" >1395</td>\n",
+       "      <th id=\"T_0d676_level0_row9\" class=\"row_heading level0 row9\" >30</th>\n",
+       "      <td id=\"T_0d676_row9_col0\" class=\"data row9 col0\" >1395</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row10\" class=\"row_heading level0 row10\" >31</th>\n",
-       "      <td id=\"T_a8936_row10_col0\" class=\"data row10 col0\" >1217</td>\n",
+       "      <th id=\"T_0d676_level0_row10\" class=\"row_heading level0 row10\" >31</th>\n",
+       "      <td id=\"T_0d676_row10_col0\" class=\"data row10 col0\" >1217</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row11\" class=\"row_heading level0 row11\" >32</th>\n",
-       "      <td id=\"T_a8936_row11_col0\" class=\"data row11 col0\" >1158</td>\n",
+       "      <th id=\"T_0d676_level0_row11\" class=\"row_heading level0 row11\" >32</th>\n",
+       "      <td id=\"T_0d676_row11_col0\" class=\"data row11 col0\" >1158</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row12\" class=\"row_heading level0 row12\" >33</th>\n",
-       "      <td id=\"T_a8936_row12_col0\" class=\"data row12 col0\" >1146</td>\n",
+       "      <th id=\"T_0d676_level0_row12\" class=\"row_heading level0 row12\" >33</th>\n",
+       "      <td id=\"T_0d676_row12_col0\" class=\"data row12 col0\" >1146</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row13\" class=\"row_heading level0 row13\" >34</th>\n",
-       "      <td id=\"T_a8936_row13_col0\" class=\"data row13 col0\" >1162</td>\n",
+       "      <th id=\"T_0d676_level0_row13\" class=\"row_heading level0 row13\" >34</th>\n",
+       "      <td id=\"T_0d676_row13_col0\" class=\"data row13 col0\" >1162</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row14\" class=\"row_heading level0 row14\" >35</th>\n",
-       "      <td id=\"T_a8936_row14_col0\" class=\"data row14 col0\" >1113</td>\n",
+       "      <th id=\"T_0d676_level0_row14\" class=\"row_heading level0 row14\" >35</th>\n",
+       "      <td id=\"T_0d676_row14_col0\" class=\"data row14 col0\" >1113</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row15\" class=\"row_heading level0 row15\" >36</th>\n",
-       "      <td id=\"T_a8936_row15_col0\" class=\"data row15 col0\" >1108</td>\n",
+       "      <th id=\"T_0d676_level0_row15\" class=\"row_heading level0 row15\" >36</th>\n",
+       "      <td id=\"T_0d676_row15_col0\" class=\"data row15 col0\" >1108</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row16\" class=\"row_heading level0 row16\" >37</th>\n",
-       "      <td id=\"T_a8936_row16_col0\" class=\"data row16 col0\" >1041</td>\n",
+       "      <th id=\"T_0d676_level0_row16\" class=\"row_heading level0 row16\" >37</th>\n",
+       "      <td id=\"T_0d676_row16_col0\" class=\"data row16 col0\" >1041</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row17\" class=\"row_heading level0 row17\" >38</th>\n",
-       "      <td id=\"T_a8936_row17_col0\" class=\"data row17 col0\" >944</td>\n",
+       "      <th id=\"T_0d676_level0_row17\" class=\"row_heading level0 row17\" >38</th>\n",
+       "      <td id=\"T_0d676_row17_col0\" class=\"data row17 col0\" >944</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row18\" class=\"row_heading level0 row18\" >39</th>\n",
-       "      <td id=\"T_a8936_row18_col0\" class=\"data row18 col0\" >954</td>\n",
+       "      <th id=\"T_0d676_level0_row18\" class=\"row_heading level0 row18\" >39</th>\n",
+       "      <td id=\"T_0d676_row18_col0\" class=\"data row18 col0\" >954</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row19\" class=\"row_heading level0 row19\" >40</th>\n",
-       "      <td id=\"T_a8936_row19_col0\" class=\"data row19 col0\" >870</td>\n",
+       "      <th id=\"T_0d676_level0_row19\" class=\"row_heading level0 row19\" >40</th>\n",
+       "      <td id=\"T_0d676_row19_col0\" class=\"data row19 col0\" >870</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row20\" class=\"row_heading level0 row20\" >41</th>\n",
-       "      <td id=\"T_a8936_row20_col0\" class=\"data row20 col0\" >824</td>\n",
+       "      <th id=\"T_0d676_level0_row20\" class=\"row_heading level0 row20\" >41</th>\n",
+       "      <td id=\"T_0d676_row20_col0\" class=\"data row20 col0\" >824</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row21\" class=\"row_heading level0 row21\" >42</th>\n",
-       "      <td id=\"T_a8936_row21_col0\" class=\"data row21 col0\" >794</td>\n",
+       "      <th id=\"T_0d676_level0_row21\" class=\"row_heading level0 row21\" >42</th>\n",
+       "      <td id=\"T_0d676_row21_col0\" class=\"data row21 col0\" >794</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row22\" class=\"row_heading level0 row22\" >43</th>\n",
-       "      <td id=\"T_a8936_row22_col0\" class=\"data row22 col0\" >670</td>\n",
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        "    <tr>\n",
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+       "      <td id=\"T_0d676_row23_col0\" class=\"data row23 col0\" >700</td>\n",
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        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row24\" class=\"row_heading level0 row24\" >45</th>\n",
-       "      <td id=\"T_a8936_row24_col0\" class=\"data row24 col0\" >617</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row25\" class=\"row_heading level0 row25\" >46</th>\n",
-       "      <td id=\"T_a8936_row25_col0\" class=\"data row25 col0\" >570</td>\n",
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+       "      <td id=\"T_0d676_row25_col0\" class=\"data row25 col0\" >570</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row26\" class=\"row_heading level0 row26\" >47</th>\n",
-       "      <td id=\"T_a8936_row26_col0\" class=\"data row26 col0\" >501</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row27\" class=\"row_heading level0 row27\" >48</th>\n",
-       "      <td id=\"T_a8936_row27_col0\" class=\"data row27 col0\" >466</td>\n",
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+       "      <td id=\"T_0d676_row27_col0\" class=\"data row27 col0\" >466</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row28\" class=\"row_heading level0 row28\" >49</th>\n",
-       "      <td id=\"T_a8936_row28_col0\" class=\"data row28 col0\" >452</td>\n",
+       "      <th id=\"T_0d676_level0_row28\" class=\"row_heading level0 row28\" >49</th>\n",
+       "      <td id=\"T_0d676_row28_col0\" class=\"data row28 col0\" >452</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row29\" class=\"row_heading level0 row29\" >50</th>\n",
-       "      <td id=\"T_a8936_row29_col0\" class=\"data row29 col0\" >411</td>\n",
+       "      <th id=\"T_0d676_level0_row29\" class=\"row_heading level0 row29\" >50</th>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row30\" class=\"row_heading level0 row30\" >51</th>\n",
-       "      <td id=\"T_a8936_row30_col0\" class=\"data row30 col0\" >340</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row31\" class=\"row_heading level0 row31\" >52</th>\n",
-       "      <td id=\"T_a8936_row31_col0\" class=\"data row31 col0\" >304</td>\n",
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        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row32\" class=\"row_heading level0 row32\" >53</th>\n",
-       "      <td id=\"T_a8936_row32_col0\" class=\"data row32 col0\" >325</td>\n",
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        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row33\" class=\"row_heading level0 row33\" >54</th>\n",
-       "      <td id=\"T_a8936_row33_col0\" class=\"data row33 col0\" >247</td>\n",
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        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row34\" class=\"row_heading level0 row34\" >55</th>\n",
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        "    <tr>\n",
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        "    <tr>\n",
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        "    <tr>\n",
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-       "      <td id=\"T_a8936_row39_col0\" class=\"data row39 col0\" >67</td>\n",
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+       "      <td id=\"T_0d676_row39_col0\" class=\"data row39 col0\" >67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row40\" class=\"row_heading level0 row40\" >61</th>\n",
-       "      <td id=\"T_a8936_row40_col0\" class=\"data row40 col0\" >56</td>\n",
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        "    <tr>\n",
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        "    <tr>\n",
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-       "      <td id=\"T_a8936_row42_col0\" class=\"data row42 col0\" >31</td>\n",
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        "    <tr>\n",
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-       "      <td id=\"T_a8936_row43_col0\" class=\"data row43 col0\" >31</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row44\" class=\"row_heading level0 row44\" >65</th>\n",
-       "      <td id=\"T_a8936_row44_col0\" class=\"data row44 col0\" >24</td>\n",
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+       "      <td id=\"T_0d676_row44_col0\" class=\"data row44 col0\" >24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row45\" class=\"row_heading level0 row45\" >66</th>\n",
-       "      <td id=\"T_a8936_row45_col0\" class=\"data row45 col0\" >25</td>\n",
+       "      <th id=\"T_0d676_level0_row45\" class=\"row_heading level0 row45\" >66</th>\n",
+       "      <td id=\"T_0d676_row45_col0\" class=\"data row45 col0\" >25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row46\" class=\"row_heading level0 row46\" >67</th>\n",
-       "      <td id=\"T_a8936_row46_col0\" class=\"data row46 col0\" >16</td>\n",
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+       "      <td id=\"T_0d676_row46_col0\" class=\"data row46 col0\" >16</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row47\" class=\"row_heading level0 row47\" >68</th>\n",
-       "      <td id=\"T_a8936_row47_col0\" class=\"data row47 col0\" >5</td>\n",
+       "      <th id=\"T_0d676_level0_row47\" class=\"row_heading level0 row47\" >68</th>\n",
+       "      <td id=\"T_0d676_row47_col0\" class=\"data row47 col0\" >5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row48\" class=\"row_heading level0 row48\" >69</th>\n",
-       "      <td id=\"T_a8936_row48_col0\" class=\"data row48 col0\" >15</td>\n",
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+       "      <td id=\"T_0d676_row48_col0\" class=\"data row48 col0\" >15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row49\" class=\"row_heading level0 row49\" >70</th>\n",
-       "      <td id=\"T_a8936_row49_col0\" class=\"data row49 col0\" >10</td>\n",
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+       "      <td id=\"T_0d676_row49_col0\" class=\"data row49 col0\" >10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row50\" class=\"row_heading level0 row50\" >71</th>\n",
-       "      <td id=\"T_a8936_row50_col0\" class=\"data row50 col0\" >3</td>\n",
+       "      <th id=\"T_0d676_level0_row50\" class=\"row_heading level0 row50\" >71</th>\n",
+       "      <td id=\"T_0d676_row50_col0\" class=\"data row50 col0\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row51\" class=\"row_heading level0 row51\" >72</th>\n",
-       "      <td id=\"T_a8936_row51_col0\" class=\"data row51 col0\" >3</td>\n",
+       "      <th id=\"T_0d676_level0_row51\" class=\"row_heading level0 row51\" >72</th>\n",
+       "      <td id=\"T_0d676_row51_col0\" class=\"data row51 col0\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row52\" class=\"row_heading level0 row52\" >73</th>\n",
-       "      <td id=\"T_a8936_row52_col0\" class=\"data row52 col0\" >4</td>\n",
+       "      <th id=\"T_0d676_level0_row52\" class=\"row_heading level0 row52\" >73</th>\n",
+       "      <td id=\"T_0d676_row52_col0\" class=\"data row52 col0\" >4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row53\" class=\"row_heading level0 row53\" >74</th>\n",
-       "      <td id=\"T_a8936_row53_col0\" class=\"data row53 col0\" >1</td>\n",
+       "      <th id=\"T_0d676_level0_row53\" class=\"row_heading level0 row53\" >74</th>\n",
+       "      <td id=\"T_0d676_row53_col0\" class=\"data row53 col0\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row54\" class=\"row_heading level0 row54\" >75</th>\n",
-       "      <td id=\"T_a8936_row54_col0\" class=\"data row54 col0\" >3</td>\n",
+       "      <th id=\"T_0d676_level0_row54\" class=\"row_heading level0 row54\" >75</th>\n",
+       "      <td id=\"T_0d676_row54_col0\" class=\"data row54 col0\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_a8936_level0_row55\" class=\"row_heading level0 row55\" >79</th>\n",
-       "      <td id=\"T_a8936_row55_col0\" class=\"data row55 col0\" >1</td>\n",
+       "      <th id=\"T_0d676_level0_row55\" class=\"row_heading level0 row55\" >79</th>\n",
+       "      <td id=\"T_0d676_row55_col0\" class=\"data row55 col0\" >1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7f4840b97130>"
+       "<pandas.io.formats.style.Styler at 0x7fc79bd2aa90>"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3014,216 +3220,221 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 35,
    "id": "b1ec8fc4-b468-4d62-bb46-4639f65bdfb9",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
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-       "#T_cb76c_row18_col0 {\n",
+       "#T_41f64_row18_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 59.4%, transparent 59.4%);\n",
        "}\n",
-       "#T_cb76c_row19_col0 {\n",
+       "#T_41f64_row19_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 54.2%, transparent 54.2%);\n",
        "}\n",
-       "#T_cb76c_row20_col0 {\n",
+       "#T_41f64_row20_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 51.3%, transparent 51.3%);\n",
        "}\n",
-       "#T_cb76c_row21_col0 {\n",
+       "#T_41f64_row21_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 49.5%, transparent 49.5%);\n",
        "}\n",
-       "#T_cb76c_row22_col0 {\n",
+       "#T_41f64_row22_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 41.7%, transparent 41.7%);\n",
        "}\n",
-       "#T_cb76c_row23_col0 {\n",
+       "#T_41f64_row23_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 43.6%, transparent 43.6%);\n",
        "}\n",
-       "#T_cb76c_row24_col0 {\n",
+       "#T_41f64_row24_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 38.4%, transparent 38.4%);\n",
        "}\n",
-       "#T_cb76c_row25_col0 {\n",
+       "#T_41f64_row25_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 35.5%, transparent 35.5%);\n",
        "}\n",
-       "#T_cb76c_row26_col0 {\n",
+       "#T_41f64_row26_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 31.2%, transparent 31.2%);\n",
        "}\n",
-       "#T_cb76c_row27_col0 {\n",
+       "#T_41f64_row27_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 29.0%, transparent 29.0%);\n",
        "}\n",
-       "#T_cb76c_row28_col0 {\n",
+       "#T_41f64_row28_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 28.2%, transparent 28.2%);\n",
        "}\n",
-       "#T_cb76c_row29_col0 {\n",
+       "#T_41f64_row29_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 25.6%, transparent 25.6%);\n",
        "}\n",
-       "#T_cb76c_row30_col0 {\n",
+       "#T_41f64_row30_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 21.2%, transparent 21.2%);\n",
        "}\n",
-       "#T_cb76c_row31_col0 {\n",
+       "#T_41f64_row31_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 18.9%, transparent 18.9%);\n",
        "}\n",
-       "#T_cb76c_row32_col0 {\n",
+       "#T_41f64_row32_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 20.2%, transparent 20.2%);\n",
        "}\n",
-       "#T_cb76c_row33_col0 {\n",
+       "#T_41f64_row33_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 15.4%, transparent 15.4%);\n",
        "}\n",
-       "#T_cb76c_row34_col0 {\n",
+       "#T_41f64_row34_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 13.0%, transparent 13.0%);\n",
        "}\n",
-       "#T_cb76c_row35_col0 {\n",
+       "#T_41f64_row35_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 11.1%, transparent 11.1%);\n",
        "}\n",
-       "#T_cb76c_row36_col0, #T_cb76c_row37_col0 {\n",
+       "#T_41f64_row36_col0, #T_41f64_row37_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 7.6%, transparent 7.6%);\n",
        "}\n",
-       "#T_cb76c_row38_col0 {\n",
+       "#T_41f64_row38_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 5.2%, transparent 5.2%);\n",
        "}\n",
-       "#T_cb76c_row40_col0 {\n",
+       "#T_41f64_row40_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 3.5%, transparent 3.5%);\n",
        "}\n",
-       "#T_cb76c_row41_col0 {\n",
+       "#T_41f64_row41_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 2.7%, transparent 2.7%);\n",
        "}\n",
-       "#T_cb76c_row42_col0, #T_cb76c_row43_col0 {\n",
+       "#T_41f64_row42_col0, #T_41f64_row43_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 1.9%, transparent 1.9%);\n",
        "}\n",
-       "#T_cb76c_row44_col0 {\n",
+       "#T_41f64_row44_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 1.5%, transparent 1.5%);\n",
        "}\n",
-       "#T_cb76c_row45_col0 {\n",
+       "#T_41f64_row45_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 1.6%, transparent 1.6%);\n",
        "}\n",
-       "#T_cb76c_row46_col0 {\n",
+       "#T_41f64_row46_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 1.0%, transparent 1.0%);\n",
        "}\n",
-       "#T_cb76c_row47_col0 {\n",
+       "#T_41f64_row47_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 0.3%, transparent 0.3%);\n",
        "}\n",
-       "#T_cb76c_row48_col0 {\n",
+       "#T_41f64_row48_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 0.9%, transparent 0.9%);\n",
        "}\n",
-       "#T_cb76c_row49_col0 {\n",
+       "#T_41f64_row49_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 0.6%, transparent 0.6%);\n",
        "}\n",
-       "#T_cb76c_row50_col0, #T_cb76c_row51_col0, #T_cb76c_row52_col0, #T_cb76c_row54_col0 {\n",
+       "#T_41f64_row50_col0, #T_41f64_row51_col0, #T_41f64_row52_col0, #T_41f64_row54_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 0.2%, transparent 0.2%);\n",
        "}\n",
-       "#T_cb76c_row53_col0, #T_cb76c_row55_col0 {\n",
+       "#T_41f64_row53_col0, #T_41f64_row55_col0 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, lightsteelblue 0.1%, transparent 0.1%);\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_cb76c\">\n",
+       "<table id=\"T_41f64\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_cb76c_level0_col0\" class=\"col_heading level0 col0\" >Quantidades</th>\n",
+       "      <th id=\"T_41f64_level0_col0\" class=\"col_heading level0 col0\" >Quantidades</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th class=\"index_name level0\" >idade</th>\n",
@@ -3232,237 +3443,237 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row0\" class=\"row_heading level0 row0\" >21</th>\n",
-       "      <td id=\"T_cb76c_row0_col0\" class=\"data row0 col0\" >67</td>\n",
+       "      <th id=\"T_41f64_level0_row0\" class=\"row_heading level0 row0\" >21</th>\n",
+       "      <td id=\"T_41f64_row0_col0\" class=\"data row0 col0\" >67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row1\" class=\"row_heading level0 row1\" >22</th>\n",
-       "      <td id=\"T_cb76c_row1_col0\" class=\"data row1 col0\" >560</td>\n",
+       "      <th id=\"T_41f64_level0_row1\" class=\"row_heading level0 row1\" >22</th>\n",
+       "      <td id=\"T_41f64_row1_col0\" class=\"data row1 col0\" >560</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row2\" class=\"row_heading level0 row2\" >23</th>\n",
-       "      <td id=\"T_cb76c_row2_col0\" class=\"data row2 col0\" >931</td>\n",
+       "      <th id=\"T_41f64_level0_row2\" class=\"row_heading level0 row2\" >23</th>\n",
+       "      <td id=\"T_41f64_row2_col0\" class=\"data row2 col0\" >931</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row3\" class=\"row_heading level0 row3\" >24</th>\n",
-       "      <td id=\"T_cb76c_row3_col0\" class=\"data row3 col0\" >1127</td>\n",
+       "      <th id=\"T_41f64_level0_row3\" class=\"row_heading level0 row3\" >24</th>\n",
+       "      <td id=\"T_41f64_row3_col0\" class=\"data row3 col0\" >1127</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row4\" class=\"row_heading level0 row4\" >25</th>\n",
-       "      <td id=\"T_cb76c_row4_col0\" class=\"data row4 col0\" >1186</td>\n",
+       "      <th id=\"T_41f64_level0_row4\" class=\"row_heading level0 row4\" >25</th>\n",
+       "      <td id=\"T_41f64_row4_col0\" class=\"data row4 col0\" >1186</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row5\" class=\"row_heading level0 row5\" >26</th>\n",
-       "      <td id=\"T_cb76c_row5_col0\" class=\"data row5 col0\" >1256</td>\n",
+       "      <th id=\"T_41f64_level0_row5\" class=\"row_heading level0 row5\" >26</th>\n",
+       "      <td id=\"T_41f64_row5_col0\" class=\"data row5 col0\" >1256</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row6\" class=\"row_heading level0 row6\" >27</th>\n",
-       "      <td id=\"T_cb76c_row6_col0\" class=\"data row6 col0\" >1477</td>\n",
+       "      <th id=\"T_41f64_level0_row6\" class=\"row_heading level0 row6\" >27</th>\n",
+       "      <td id=\"T_41f64_row6_col0\" class=\"data row6 col0\" >1477</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row7\" class=\"row_heading level0 row7\" >28</th>\n",
-       "      <td id=\"T_cb76c_row7_col0\" class=\"data row7 col0\" >1409</td>\n",
+       "      <th id=\"T_41f64_level0_row7\" class=\"row_heading level0 row7\" >28</th>\n",
+       "      <td id=\"T_41f64_row7_col0\" class=\"data row7 col0\" >1409</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row8\" class=\"row_heading level0 row8\" >29</th>\n",
-       "      <td id=\"T_cb76c_row8_col0\" class=\"data row8 col0\" >1605</td>\n",
+       "      <th id=\"T_41f64_level0_row8\" class=\"row_heading level0 row8\" >29</th>\n",
+       "      <td id=\"T_41f64_row8_col0\" class=\"data row8 col0\" >1605</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row9\" class=\"row_heading level0 row9\" >30</th>\n",
-       "      <td id=\"T_cb76c_row9_col0\" class=\"data row9 col0\" >1395</td>\n",
+       "      <th id=\"T_41f64_level0_row9\" class=\"row_heading level0 row9\" >30</th>\n",
+       "      <td id=\"T_41f64_row9_col0\" class=\"data row9 col0\" >1395</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row10\" class=\"row_heading level0 row10\" >31</th>\n",
-       "      <td id=\"T_cb76c_row10_col0\" class=\"data row10 col0\" >1217</td>\n",
+       "      <th id=\"T_41f64_level0_row10\" class=\"row_heading level0 row10\" >31</th>\n",
+       "      <td id=\"T_41f64_row10_col0\" class=\"data row10 col0\" >1217</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row11\" class=\"row_heading level0 row11\" >32</th>\n",
-       "      <td id=\"T_cb76c_row11_col0\" class=\"data row11 col0\" >1158</td>\n",
+       "      <th id=\"T_41f64_level0_row11\" class=\"row_heading level0 row11\" >32</th>\n",
+       "      <td id=\"T_41f64_row11_col0\" class=\"data row11 col0\" >1158</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row12\" class=\"row_heading level0 row12\" >33</th>\n",
-       "      <td id=\"T_cb76c_row12_col0\" class=\"data row12 col0\" >1146</td>\n",
+       "      <th id=\"T_41f64_level0_row12\" class=\"row_heading level0 row12\" >33</th>\n",
+       "      <td id=\"T_41f64_row12_col0\" class=\"data row12 col0\" >1146</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row13\" class=\"row_heading level0 row13\" >34</th>\n",
-       "      <td id=\"T_cb76c_row13_col0\" class=\"data row13 col0\" >1162</td>\n",
+       "      <th id=\"T_41f64_level0_row13\" class=\"row_heading level0 row13\" >34</th>\n",
+       "      <td id=\"T_41f64_row13_col0\" class=\"data row13 col0\" >1162</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row14\" class=\"row_heading level0 row14\" >35</th>\n",
-       "      <td id=\"T_cb76c_row14_col0\" class=\"data row14 col0\" >1113</td>\n",
+       "      <th id=\"T_41f64_level0_row14\" class=\"row_heading level0 row14\" >35</th>\n",
+       "      <td id=\"T_41f64_row14_col0\" class=\"data row14 col0\" >1113</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row15\" class=\"row_heading level0 row15\" >36</th>\n",
-       "      <td id=\"T_cb76c_row15_col0\" class=\"data row15 col0\" >1108</td>\n",
+       "      <th id=\"T_41f64_level0_row15\" class=\"row_heading level0 row15\" >36</th>\n",
+       "      <td id=\"T_41f64_row15_col0\" class=\"data row15 col0\" >1108</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row16\" class=\"row_heading level0 row16\" >37</th>\n",
-       "      <td id=\"T_cb76c_row16_col0\" class=\"data row16 col0\" >1041</td>\n",
+       "      <th id=\"T_41f64_level0_row16\" class=\"row_heading level0 row16\" >37</th>\n",
+       "      <td id=\"T_41f64_row16_col0\" class=\"data row16 col0\" >1041</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row17\" class=\"row_heading level0 row17\" >38</th>\n",
-       "      <td id=\"T_cb76c_row17_col0\" class=\"data row17 col0\" >944</td>\n",
+       "      <th id=\"T_41f64_level0_row17\" class=\"row_heading level0 row17\" >38</th>\n",
+       "      <td id=\"T_41f64_row17_col0\" class=\"data row17 col0\" >944</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row18\" class=\"row_heading level0 row18\" >39</th>\n",
-       "      <td id=\"T_cb76c_row18_col0\" class=\"data row18 col0\" >954</td>\n",
+       "      <th id=\"T_41f64_level0_row18\" class=\"row_heading level0 row18\" >39</th>\n",
+       "      <td id=\"T_41f64_row18_col0\" class=\"data row18 col0\" >954</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row19\" class=\"row_heading level0 row19\" >40</th>\n",
-       "      <td id=\"T_cb76c_row19_col0\" class=\"data row19 col0\" >870</td>\n",
+       "      <th id=\"T_41f64_level0_row19\" class=\"row_heading level0 row19\" >40</th>\n",
+       "      <td id=\"T_41f64_row19_col0\" class=\"data row19 col0\" >870</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row20\" class=\"row_heading level0 row20\" >41</th>\n",
-       "      <td id=\"T_cb76c_row20_col0\" class=\"data row20 col0\" >824</td>\n",
+       "      <th id=\"T_41f64_level0_row20\" class=\"row_heading level0 row20\" >41</th>\n",
+       "      <td id=\"T_41f64_row20_col0\" class=\"data row20 col0\" >824</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row21\" class=\"row_heading level0 row21\" >42</th>\n",
-       "      <td id=\"T_cb76c_row21_col0\" class=\"data row21 col0\" >794</td>\n",
+       "      <th id=\"T_41f64_level0_row21\" class=\"row_heading level0 row21\" >42</th>\n",
+       "      <td id=\"T_41f64_row21_col0\" class=\"data row21 col0\" >794</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row22\" class=\"row_heading level0 row22\" >43</th>\n",
-       "      <td id=\"T_cb76c_row22_col0\" class=\"data row22 col0\" >670</td>\n",
+       "      <th id=\"T_41f64_level0_row22\" class=\"row_heading level0 row22\" >43</th>\n",
+       "      <td id=\"T_41f64_row22_col0\" class=\"data row22 col0\" >670</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row23\" class=\"row_heading level0 row23\" >44</th>\n",
-       "      <td id=\"T_cb76c_row23_col0\" class=\"data row23 col0\" >700</td>\n",
+       "      <th id=\"T_41f64_level0_row23\" class=\"row_heading level0 row23\" >44</th>\n",
+       "      <td id=\"T_41f64_row23_col0\" class=\"data row23 col0\" >700</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row24\" class=\"row_heading level0 row24\" >45</th>\n",
-       "      <td id=\"T_cb76c_row24_col0\" class=\"data row24 col0\" >617</td>\n",
+       "      <th id=\"T_41f64_level0_row24\" class=\"row_heading level0 row24\" >45</th>\n",
+       "      <td id=\"T_41f64_row24_col0\" class=\"data row24 col0\" >617</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row25\" class=\"row_heading level0 row25\" >46</th>\n",
-       "      <td id=\"T_cb76c_row25_col0\" class=\"data row25 col0\" >570</td>\n",
+       "      <th id=\"T_41f64_level0_row25\" class=\"row_heading level0 row25\" >46</th>\n",
+       "      <td id=\"T_41f64_row25_col0\" class=\"data row25 col0\" >570</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row26\" class=\"row_heading level0 row26\" >47</th>\n",
-       "      <td id=\"T_cb76c_row26_col0\" class=\"data row26 col0\" >501</td>\n",
+       "      <th id=\"T_41f64_level0_row26\" class=\"row_heading level0 row26\" >47</th>\n",
+       "      <td id=\"T_41f64_row26_col0\" class=\"data row26 col0\" >501</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row27\" class=\"row_heading level0 row27\" >48</th>\n",
-       "      <td id=\"T_cb76c_row27_col0\" class=\"data row27 col0\" >466</td>\n",
+       "      <th id=\"T_41f64_level0_row27\" class=\"row_heading level0 row27\" >48</th>\n",
+       "      <td id=\"T_41f64_row27_col0\" class=\"data row27 col0\" >466</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row28\" class=\"row_heading level0 row28\" >49</th>\n",
-       "      <td id=\"T_cb76c_row28_col0\" class=\"data row28 col0\" >452</td>\n",
+       "      <th id=\"T_41f64_level0_row28\" class=\"row_heading level0 row28\" >49</th>\n",
+       "      <td id=\"T_41f64_row28_col0\" class=\"data row28 col0\" >452</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row29\" class=\"row_heading level0 row29\" >50</th>\n",
-       "      <td id=\"T_cb76c_row29_col0\" class=\"data row29 col0\" >411</td>\n",
+       "      <th id=\"T_41f64_level0_row29\" class=\"row_heading level0 row29\" >50</th>\n",
+       "      <td id=\"T_41f64_row29_col0\" class=\"data row29 col0\" >411</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row30\" class=\"row_heading level0 row30\" >51</th>\n",
-       "      <td id=\"T_cb76c_row30_col0\" class=\"data row30 col0\" >340</td>\n",
+       "      <th id=\"T_41f64_level0_row30\" class=\"row_heading level0 row30\" >51</th>\n",
+       "      <td id=\"T_41f64_row30_col0\" class=\"data row30 col0\" >340</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row31\" class=\"row_heading level0 row31\" >52</th>\n",
-       "      <td id=\"T_cb76c_row31_col0\" class=\"data row31 col0\" >304</td>\n",
+       "      <th id=\"T_41f64_level0_row31\" class=\"row_heading level0 row31\" >52</th>\n",
+       "      <td id=\"T_41f64_row31_col0\" class=\"data row31 col0\" >304</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row32\" class=\"row_heading level0 row32\" >53</th>\n",
-       "      <td id=\"T_cb76c_row32_col0\" class=\"data row32 col0\" >325</td>\n",
+       "      <th id=\"T_41f64_level0_row32\" class=\"row_heading level0 row32\" >53</th>\n",
+       "      <td id=\"T_41f64_row32_col0\" class=\"data row32 col0\" >325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row33\" class=\"row_heading level0 row33\" >54</th>\n",
-       "      <td id=\"T_cb76c_row33_col0\" class=\"data row33 col0\" >247</td>\n",
+       "      <th id=\"T_41f64_level0_row33\" class=\"row_heading level0 row33\" >54</th>\n",
+       "      <td id=\"T_41f64_row33_col0\" class=\"data row33 col0\" >247</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row34\" class=\"row_heading level0 row34\" >55</th>\n",
-       "      <td id=\"T_cb76c_row34_col0\" class=\"data row34 col0\" >209</td>\n",
+       "      <th id=\"T_41f64_level0_row34\" class=\"row_heading level0 row34\" >55</th>\n",
+       "      <td id=\"T_41f64_row34_col0\" class=\"data row34 col0\" >209</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row35\" class=\"row_heading level0 row35\" >56</th>\n",
-       "      <td id=\"T_cb76c_row35_col0\" class=\"data row35 col0\" >178</td>\n",
+       "      <th id=\"T_41f64_level0_row35\" class=\"row_heading level0 row35\" >56</th>\n",
+       "      <td id=\"T_41f64_row35_col0\" class=\"data row35 col0\" >178</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row36\" class=\"row_heading level0 row36\" >57</th>\n",
-       "      <td id=\"T_cb76c_row36_col0\" class=\"data row36 col0\" >122</td>\n",
+       "      <th id=\"T_41f64_level0_row36\" class=\"row_heading level0 row36\" >57</th>\n",
+       "      <td id=\"T_41f64_row36_col0\" class=\"data row36 col0\" >122</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row37\" class=\"row_heading level0 row37\" >58</th>\n",
-       "      <td id=\"T_cb76c_row37_col0\" class=\"data row37 col0\" >122</td>\n",
+       "      <th id=\"T_41f64_level0_row37\" class=\"row_heading level0 row37\" >58</th>\n",
+       "      <td id=\"T_41f64_row37_col0\" class=\"data row37 col0\" >122</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row38\" class=\"row_heading level0 row38\" >59</th>\n",
-       "      <td id=\"T_cb76c_row38_col0\" class=\"data row38 col0\" >83</td>\n",
+       "      <th id=\"T_41f64_level0_row38\" class=\"row_heading level0 row38\" >59</th>\n",
+       "      <td id=\"T_41f64_row38_col0\" class=\"data row38 col0\" >83</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row39\" class=\"row_heading level0 row39\" >60</th>\n",
-       "      <td id=\"T_cb76c_row39_col0\" class=\"data row39 col0\" >67</td>\n",
+       "      <th id=\"T_41f64_level0_row39\" class=\"row_heading level0 row39\" >60</th>\n",
+       "      <td id=\"T_41f64_row39_col0\" class=\"data row39 col0\" >67</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row40\" class=\"row_heading level0 row40\" >61</th>\n",
-       "      <td id=\"T_cb76c_row40_col0\" class=\"data row40 col0\" >56</td>\n",
+       "      <th id=\"T_41f64_level0_row40\" class=\"row_heading level0 row40\" >61</th>\n",
+       "      <td id=\"T_41f64_row40_col0\" class=\"data row40 col0\" >56</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row41\" class=\"row_heading level0 row41\" >62</th>\n",
-       "      <td id=\"T_cb76c_row41_col0\" class=\"data row41 col0\" >44</td>\n",
+       "      <th id=\"T_41f64_level0_row41\" class=\"row_heading level0 row41\" >62</th>\n",
+       "      <td id=\"T_41f64_row41_col0\" class=\"data row41 col0\" >44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row42\" class=\"row_heading level0 row42\" >63</th>\n",
-       "      <td id=\"T_cb76c_row42_col0\" class=\"data row42 col0\" >31</td>\n",
+       "      <th id=\"T_41f64_level0_row42\" class=\"row_heading level0 row42\" >63</th>\n",
+       "      <td id=\"T_41f64_row42_col0\" class=\"data row42 col0\" >31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row43\" class=\"row_heading level0 row43\" >64</th>\n",
-       "      <td id=\"T_cb76c_row43_col0\" class=\"data row43 col0\" >31</td>\n",
+       "      <th id=\"T_41f64_level0_row43\" class=\"row_heading level0 row43\" >64</th>\n",
+       "      <td id=\"T_41f64_row43_col0\" class=\"data row43 col0\" >31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row44\" class=\"row_heading level0 row44\" >65</th>\n",
-       "      <td id=\"T_cb76c_row44_col0\" class=\"data row44 col0\" >24</td>\n",
+       "      <th id=\"T_41f64_level0_row44\" class=\"row_heading level0 row44\" >65</th>\n",
+       "      <td id=\"T_41f64_row44_col0\" class=\"data row44 col0\" >24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row45\" class=\"row_heading level0 row45\" >66</th>\n",
-       "      <td id=\"T_cb76c_row45_col0\" class=\"data row45 col0\" >25</td>\n",
+       "      <th id=\"T_41f64_level0_row45\" class=\"row_heading level0 row45\" >66</th>\n",
+       "      <td id=\"T_41f64_row45_col0\" class=\"data row45 col0\" >25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row46\" class=\"row_heading level0 row46\" >67</th>\n",
-       "      <td id=\"T_cb76c_row46_col0\" class=\"data row46 col0\" >16</td>\n",
+       "      <th id=\"T_41f64_level0_row46\" class=\"row_heading level0 row46\" >67</th>\n",
+       "      <td id=\"T_41f64_row46_col0\" class=\"data row46 col0\" >16</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row47\" class=\"row_heading level0 row47\" >68</th>\n",
-       "      <td id=\"T_cb76c_row47_col0\" class=\"data row47 col0\" >5</td>\n",
+       "      <th id=\"T_41f64_level0_row47\" class=\"row_heading level0 row47\" >68</th>\n",
+       "      <td id=\"T_41f64_row47_col0\" class=\"data row47 col0\" >5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row48\" class=\"row_heading level0 row48\" >69</th>\n",
-       "      <td id=\"T_cb76c_row48_col0\" class=\"data row48 col0\" >15</td>\n",
+       "      <th id=\"T_41f64_level0_row48\" class=\"row_heading level0 row48\" >69</th>\n",
+       "      <td id=\"T_41f64_row48_col0\" class=\"data row48 col0\" >15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row49\" class=\"row_heading level0 row49\" >70</th>\n",
-       "      <td id=\"T_cb76c_row49_col0\" class=\"data row49 col0\" >10</td>\n",
+       "      <th id=\"T_41f64_level0_row49\" class=\"row_heading level0 row49\" >70</th>\n",
+       "      <td id=\"T_41f64_row49_col0\" class=\"data row49 col0\" >10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row50\" class=\"row_heading level0 row50\" >71</th>\n",
-       "      <td id=\"T_cb76c_row50_col0\" class=\"data row50 col0\" >3</td>\n",
+       "      <th id=\"T_41f64_level0_row50\" class=\"row_heading level0 row50\" >71</th>\n",
+       "      <td id=\"T_41f64_row50_col0\" class=\"data row50 col0\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row51\" class=\"row_heading level0 row51\" >72</th>\n",
-       "      <td id=\"T_cb76c_row51_col0\" class=\"data row51 col0\" >3</td>\n",
+       "      <th id=\"T_41f64_level0_row51\" class=\"row_heading level0 row51\" >72</th>\n",
+       "      <td id=\"T_41f64_row51_col0\" class=\"data row51 col0\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row52\" class=\"row_heading level0 row52\" >73</th>\n",
-       "      <td id=\"T_cb76c_row52_col0\" class=\"data row52 col0\" >4</td>\n",
+       "      <th id=\"T_41f64_level0_row52\" class=\"row_heading level0 row52\" >73</th>\n",
+       "      <td id=\"T_41f64_row52_col0\" class=\"data row52 col0\" >4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row53\" class=\"row_heading level0 row53\" >74</th>\n",
-       "      <td id=\"T_cb76c_row53_col0\" class=\"data row53 col0\" >1</td>\n",
+       "      <th id=\"T_41f64_level0_row53\" class=\"row_heading level0 row53\" >74</th>\n",
+       "      <td id=\"T_41f64_row53_col0\" class=\"data row53 col0\" >1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row54\" class=\"row_heading level0 row54\" >75</th>\n",
-       "      <td id=\"T_cb76c_row54_col0\" class=\"data row54 col0\" >3</td>\n",
+       "      <th id=\"T_41f64_level0_row54\" class=\"row_heading level0 row54\" >75</th>\n",
+       "      <td id=\"T_41f64_row54_col0\" class=\"data row54 col0\" >3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cb76c_level0_row55\" class=\"row_heading level0 row55\" >79</th>\n",
-       "      <td id=\"T_cb76c_row55_col0\" class=\"data row55 col0\" >1</td>\n",
+       "      <th id=\"T_41f64_level0_row55\" class=\"row_heading level0 row55\" >79</th>\n",
+       "      <td id=\"T_41f64_row55_col0\" class=\"data row55 col0\" >1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7f4840b970a0>"
+       "<pandas.io.formats.style.Styler at 0x7fc79b75dd00>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3473,13 +3684,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "id": "9637aac6-1ce4-475a-8e3d-b8610fcdef20",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 864x576 with 1 Axes>"
       ]
@@ -3491,6 +3707,7 @@
    "source": [
     "plt.figure(figsize=(12,8))\n",
     "sns.histplot(data=df, x=\"limite\",bins=30 ,kde=True,color='lightsteelblue', edgecolor='white',)\n",
+    "plt.ticklabel_format(style='plain', axis='x',useOffset=False)\n",
     "plt.suptitle('Distribuição dos limites', fontsize=22)\n",
     "plt.ylabel('Quantidade', size=14)\n",
     "plt.xlabel('Limites', size=14)\n",
@@ -3499,25 +3716,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "id": "b3e7cec5-e895-4755-9362-d0424065267e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:>"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
+   "execution_count": 37,
+   "id": "d0ef0b7b-e5b5-4311-aa46-660b67b0d378",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
     },
+    "tags": []
+   },
+   "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 864x576 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -3525,17 +3737,158 @@
     }
    ],
    "source": [
-    "df[['limite']].boxplot(grid=False, rot=45, fontsize=15)  "
+    "plt.figure(figsize=(12,8))\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "box_plot = sns.boxplot(y=\"limite\",\n",
+    "                       x='sexo',\n",
+    "                       palette='Blues', \n",
+    "                       data=df) \n",
+    "ax = box_plot.axes\n",
+    "lines = ax.get_lines()\n",
+    "categories = ax.get_xticks()\n",
+    "for cat in categories:\n",
+    "    # every 4th line at the interval of 6 is median line\n",
+    "    # 0 -> p25 1 -> p75 2 -> lower whisker 3 -> upper whisker 4 -> p50 5 -> upper extreme value\n",
+    "    y = round(lines[4+cat*6].get_ydata()[0],1) \n",
+    "    ax.text(\n",
+    "        cat, \n",
+    "        y, \n",
+    "        f'{y}', \n",
+    "        ha='center', \n",
+    "        va='center', \n",
+    "        fontweight='bold', \n",
+    "        size=10,\n",
+    "        color='white',\n",
+    "        bbox=dict(facecolor='#445A64'))\n",
+    "\n",
+    "box_plot.figure.tight_layout()\n",
+    "plt.suptitle('Limites', fontsize=22)\n",
+    "plt.ylabel('Valor', size=14)\n",
+    "plt.xlabel('Estado Civil', size=14)\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
-   "id": "1ea84499-69b8-4918-ac63-3ae482d71724",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
+   "execution_count": 38,
+   "id": "75a87fc9-c2d6-4856-b6cf-313860527b64",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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2e0G8kJAQJSYmSiqYEatRo4YkyW63q0qVKkpJSVFiYqKaNm3q9L7nXxMSEuK0fM+ePUpJSSl2H5fi6WmTn1/ly/PhccWJjd2svLw8SVJeXp5iYzfrmWfGWpwKQFnjWAAAKCnLC1daWpqio6MVHR2tKlWqaNSoUU7XX7kbh8NQamq21TFgkdDQjtqwYZ3y8vJkt9sVGtqR7wegHOJYAAC4UGBglSKXW35K4datW1WrVi0FBASoQoUK6tatm3bu3Kn09PTCvx4mJCQoODhYUsEM1cmTJyUV/FUxIyND/v7+Cg4OVkJCQuH7JiYmKjg4uNjl/v7+xe4DKE5k5CDZbAU/Nh4eHhow4B6LEwGwAscCAEBJWV64atasqZ9++kk5OTkyDEPbtm3T9ddfr1atWmnNmjWSpOXLlyssLEySFBYWpuXLl0uS1qxZo9atW8tmsyksLEyrV6/WuXPnFB8fr7i4ODVp0kSNGzdWXFyc4uPjde7cOa1evVphYWGy2WzF7gMojr9/gDp37iKbzaZOnbrIz8/f6kgALMCxAABQUjbDMAyrQ8yaNUtff/217Ha7br75Zr388stKTEzU008/rbS0NN18882aNm2aKlasqLNnz+rZZ5/Vzz//rKpVq2rGjBmqXbu2JGnOnDmKioqSp6ennn/+eXXs2FGStHnzZk2dOlUOh0ORkZF6/PHHJRXcFr6ofVxKbq6D00bKuZSU05o58w09/fRz/EcWUI5xLAAA/FVxpxS6ReG6klC4AAAAAFzIba/hAq40KSmnNX78OJ67A5RzHAsAACVB4QJcFBW1SAcPHuC5O0A5x7EAAFASFC7ABSkpp7VxY8GDszdtiuYv20A5xbEAAFBSFC7ABVFRi2QY+ZKk/Px8/rINlFMcCwAAJUXhAlwQE7Op8NlteXl5ionZZF0YAJaJieFYAAAoGQoX4IL27TvJbrdLkux2u9q372RtIACW4FgAACgpChfggsjIQbLZCn5sPDw8NGDAPRYnAmAFjgUAgJKicAEu8PcPUOfOXWSz2dSpUxcedgqUUxwLAAAlZbc6AHCliYwcpPj4o/xFGyjnOBYAAEqCwgUAQCn4+wdo4sRXrI4BAHBznFIIuIiHnQIAAKCkKFyAC3jYKQAAAFxB4QJcwMNOAQAA4AoKF+CCmBgedgoAAICSo3ABLmjfvpM8PT0lSZ6enjzsFCjHUlJOa/z4cZxaDAC4JAoX4ILIyEFyOBySJIfDwe2ggXKMG+gAAEqCwgW4ID7+yAXjoxYlAWAlbqADACgpChfgghkzXncaT5/+mkVJAFiJG+gAAEqKwgW4ICsr64JxpkVJAFgpJoYb6AAASobCBbjA29v7grGPRUkAWKl9+06y2+2SJLvdzg10AADFonABLnj66eecxmPG/NOiJACsFBk5SDZbwa9QDw8PbqADACgWhQtwga9v1QvGvhYlAWAlf/8Ade7cRTabTZ06dZGfn7/VkQAAborCBbhg1qw3ncZvvfVmMVsCuNpFRg7STTfdwuwWAOCS7FYHAK4kx47FXzDmtvBAeeXvH6CJE1+xOgYAwM0xwwW4oFat2heMr7MoCQAAAK4EFC7ABSNHjnUajxo1tpgtAQAAAAoXAAAAAJiGwgW4gJtmAAAAwBUULsAF3DQDwHkpKac1fvw4paamWB0FAODGKFyAC7hpBoDzoqIW6eDBA1q69AurowAA3BiFC3BBZOQgp/HAgTx/ByiPUlJOa+PGaBmGoU2bopnlAgAUi8IFuCAqapHTeMkS/rINlEdRUYtkGPmSpPz8fGa5AADFonABLuAaLgCSFBOzSXl5eZKkvLw8xcRssi4MAMCtUbgAF3ANFwBJat++kzw9PSVJnp6eat++k7WBAABui8IFuIAHHwOQCq7ndDgckiSHw6EBA7ieEwBQNAoX4IL09LQLxukWJQFgpfj4IxeMOb0YAFA0ChfgghkzXncaT5/+mkVJAFiJYwEAoKQoXIALsrKyLhhnWpQEgJU4FgAASorCBbjA29v7grGPRUkAWIljAQCgpChcgAuefvo5p/GYMf+0KAkAK3EsAACUFIULcEFCwkmncWLiyWK2BAAAACSbYRiG1SGuJLm5DqWmZlsdAxYZNKiv/vojY7PZtGjRlxYmAmCF4cPvdbqOy9vbRx988JmFiQAAVgsMrFLkcma4ABdc+PcJ/l4BlE/cNAMAUFIULsAFNpvtkmMA5QM3zQAAlBSFC3DBiBGPOo0ffvhxi5IAsBI3zQAAlBSFC3BBt269Cme1bDabunbtYXEiAFaoXbvOBePrLEoCAHB3FC7ARednuZjdAsqvqKhF8vAo+BXq4eGhpUu/sDgRAMBdcZdCF3GXQgDAAw8MUk5OTuHYy8tLH320yMJEAACrcZdC4DJJSTmt8ePHKTU1xeooACzSvn0neXp6SpI8PT3Vvn0nawMBANwWhQtwUVTUIh08eIBTiIByLDJykBwOhyTJ4XBowIB7LE4EAHBXFC7ABSkpp7VxY7QMw9CmTdHMcgHlVHz8kQvGRy1KAgBwdxQuwAVRUYtkGPmSpPz8fGa5gHJqxozXncbTp79mURIAgLujcAEuiInZpLy8PElSXl6eYmI2WRcGgGWysrIuGGdalAQA4O4oXIAL2rfv5PQcLi6UB8onb2/vC8Y+FiUBALg7Chfggq5du+v8kxQMw1B4OA8+Bsqje+8d6jS+7777LUoCAHB3FC7ABevXr3Ga4Vq37luLEwGwwrffrnYaf/31VxYlAQC4OwoX4IKYmE1OM1wxMZusCwPAMseOxV8w5i6FAICiUbgAF7Rv30l2u12SZLfbuYYLKKdq1ap9wfg6i5IAANwdhQtwQWTkINlsBT82Hh4ePOwUKKdGjhzrNB41amwxWwIAyjsKF+ACf/8Ade7cRTabTZ06dZGfn7/VkQBYID097YJxukVJAADujsIFuCgycpBuuukWZreAcowHHwMASspudQDgSuPvH6CJE1+xOgYAC/HgYwBASTHDBbgoJeW0xo8fp9TUFKujALAIDz4GAJQUhQtwUVTUIh08eEBLl35hdRQAFnn66eecxmPG/NOiJAAAd0fhAlyQknJaGzdGyzAMbdoUzSwXUE75+la9YOxrURIAgLujcAEuiIpaJMPIlyTl5+czywWUU7Nmvek0fuutN4vZEgBQ3lG4ABfExGxSXl6eJCkvL08xMZusCwPAMseOxV8wPmpREgCAu6NwAS5o376TPD09JUmenna1b9/J2kAALFGrVu0LxtdZlAQA4O4oXIALIiMHyTAMSZJh5PMsLqCcGjlyrNN41KixxWwJACjvKFyAi/7sWwDKsd27f3Qa//TTLouSAADcHYULcEFU1CJ5eNgkSTabjZtmAOXUZ5997DT+5JMPrQkCAHB7FC7ABTExm+RwOCRJDoeDm2YAAADgkihcgAvat+8km+38DJcHN80AAADAJVG4ABdw0wwAkjR48FCn8ZAhw6wJAgBwexQuwAXx8UcuGPPsHaA8CgwMvmAcZFESAIC7sxkG91xzRW6uQ6mp2VbHgEWGD79XWVlZhWNvbx998MFnFiYCYIXBg+8qfAi6JNntdn322TILEwEArBYYWKXI5cxwAS74a9kqGGdalASAlf5atooaAwBwHoULcIG3t/cFYx+LkgCwkt1uv+QYAIDzKFyAC/r2vctp3L//AIuSALBSy5atnMatW7e1KAkAwN1RuAAXfPml8zUay5cvtSgJACtt3fofp3Fs7BaLkgAA3B2FC3AB13ABAADAFRQuwAVcwwUAAABXULgAFzz99HNO4zFj/mlREgBW4sHHAICSonABAOCilJTkS44BADiPwgW4YMaM153G06e/ZlESAFb65puvncarV6+yKAkAwN1RuAAXcNMMAAAAuILCBbiAm2YAAADAFW5RuNLT0zVy5Ej16NFDPXv21K5du5Samqrhw4erW7duGj58uNLS0iRJhmFoypQpCg8PV0REhPbv31/4PsuXL1e3bt3UrVs3LV++vHD5vn37FBERofDwcE2ZMkWGYUhSsfsAisNNMwBIUs+evZzGvXtHWJQEAODu3KJwvfzyy2rfvr2+/fZbffnll2rQoIHmzZunNm3aaO3atWrTpo3mzZsnSdqyZYvi4uK0du1aTZ48WRMmTJBUUJ5mz56txYsXa8mSJZo9e3ZhgZowYYImT56stWvXKi4uTlu2FDygsrh9AMXZsGGt03jjxnUWJQFgJX//apccAwBwnuWFKyMjQz/88IMGDBggSapYsaJ8fX0VHR2tfv36SZL69eun9evXS1LhcpvNpmbNmik9PV1JSUmKjY1Vu3bt5Ofnp6pVq6pdu3aKiYlRUlKSMjMz1axZM9lsNvXr10/R0dFO73XhPoDibN36H6dxbOwWi5IAsNJnn33sNP7kkw+tCQIAcHt2qwMcO3ZMAQEBGjdunA4ePKhGjRrphRdeUHJysoKCgiRJgYGBSk4uuOVuYmKiQkJCCl8fEhKixMTEi5YHBwcXufz89pKK3celeHra5OdX+X//4Lhq8P0AQOJYAAAomuWFKy8vTwcOHNCLL76opk2basqUKRed2mez2WSz2UzNUdJ9OByGUlOzTc2CKwvfDwAkjgUAUN4FBlYpcrnlpxSGhIQoJCRETZs2lST16NFDBw4cULVq1ZSUlCRJSkpKUkBAgKSCmauEhITC1yckJCg4OPii5YmJiUUuP7+9pGL3ARSnbdt2TuPQ0A4WJQFgpcGDhzqNhwwZZk0QAIDbs7xwBQYGKiQkRIcPH5Ykbdu2TQ0aNFBYWJhWrFghSVqxYoW6dOkiSYXLDcPQ7t27VaVKFQUFBSk0NFSxsbFKS0tTWlqaYmNjFRoaqqCgIPn4+Gj37t0yDKPI97pwH0BxWrRoc8G4tUVJAFipWbM7nMZNm95mURIAgLuzGefvkW6hn3/+WS+88IJyc3NVu3ZtvfLKK8rPz9fo0aN18uRJ1axZUzNnzpSfn58Mw9CkSZMUExMjLy8vTZ06VY0bN5YkLV26VHPnzpUkPfbYY4qMjJQk7d27V+PGjdOZM2fUoUMHvfjii7LZbEpJSSlyH5eSm+vgtJFybPDgu5SXl1c4ttvt+uyzZRYmAmCFMWOe1LFj8YXjWrWu0/Tpsy1MBACwWnGnFLpF4bqSULjKt7vvvvOiZYsXr7QgCQArcSwAAFzIba/hAq4kdrv9kmMA5UOtWrUvGF9nURIAgLujcAEuePLJ0U7jf/xjjDVBAFhq5MixTuNRo8YWsyUAoLyjcAEu+OWXAxeMf7YoCQArpaenXTBOtygJAMDdUbgAF3zzzddO49WrV1mUBICVZsx43Wk8ffprFiUBALg7ChcAAC7Kysq6YJxpURIAgLujcAEA4CJvb+8Lxj4WJQEAuDsKF+CCtm3bOY1DQztYlASAlVq2bOU0bt26TTFbAgDKOwoX4IKjR486jePi4qwJAsBSGzducBpHR6+zKAkAwN1RuAAXHDsWf8H4aDFbAgAAABQuwCU87BQAAACuoHABLuBhpwAkafDgoU7jIUOGWRMEAOD2KFyACzZuXOs03rRpvUVJAFipWbM7nMZNm95mURIAgLujcAEu4MHHACRp1qw3ncZvvfVmMVsCAMo7ChcAAC7iBjoAgJKicAEA4CJuoAMAKCkKF+CCnj17OY17946wKAkAK3EDHQBASVG4ABekpaVdcgygfFi8+FOn8ZIln1uUBADg7ihcgAu2bv2P0zg2dotFSQBYaceOH5zG27d/Z1ESAIC7o3ABAAAAgEkoXAAAAABgEgoX4IK2bds5jUNDO1iUBICVmjdv4TRu2bK1RUkAAO6OwgW4YPTofzqNR458xqIkAKzUrNkdF4xvtygJAMDd2QzDMKwOcSXJzXUoNTXb6hhXlM2bN2jjxvVWx7hsfvvtV509e1ZVqlRR7dp1rI7zP+vcuas6dgyzOgZwRRk0qK/++uvTZrNp0aIvLUwEALBaYGCVIpczwwW4yNPTU5UrV74qyhaA0rnwb5X87RIAUBz7322Ql5enRYsWqWvXrgoODi6LTLjKdOwYdlXNoEyY8Pyf/061OAkAq9hstotmuAAAKMrfznDZ7Xa98cYbysvLK4s8AAC4vREjHnUaP/zw4xYlAQC4uxKdUti0aVMdOHDA7CwAAAAAcFX521MKJenuu+/Wq6++quPHj+vWW2+Vl5eX0/pGjRqZEg4AAHf03ntzncbz589R1649LEoDAHBnJSpcY8eOlSS9+uqrF62z2Wz6+eefL28qAADcGDfNAACUVIkKV3R0tNk5AAC4YnDTDABASZWocF177bVm5wAA4IpRp05dxcX9XjiuV6+BhWkAAO6sRIVLkg4ePKj3339fhw4dks1m0/XXX68RI0bohhtuMDMfAABu569lS5IOHz5kURIAgLsr0V0Ko6Ojddddd+nkyZPq0KGD2rdvrxMnTqh///7asGGD2RkBAAAA4IpUohmumTNn6rHHHtPIkSOdlr/11luaOXOmwsKunofaAgAAAMDlUqIZrri4OPXt2/ei5X379tXvv/9exCsAALh6tW3bzmkcGtrBoiQAAHdXosJVrVo17d+//6Ll+/fvV/Xq1S97KAAAAAC4GpTolMKBAwfqpZde0pEjR3TbbbdJknbu3Kn3339fI0aMMDUgAADuZuvW/ziNY2O3aOTIZyxKAwBwZyUqXE888YS8vb31/vvv66233pIkBQUF6R//+Ifuv/9+UwMCAAAAwJWqRIXLZrNp2LBhGjZsmDIzMyVJPj4+pgYDAAAA3F1c3GGNH/+8Jk16RXXq1LM6DtxQia7h+isfHx/KFgCgXOOmGQDOmzXrTeXkZOutt960OgrcVLEzXBERESV+k1WrVl2WMAAAXAm4hguAVDC7dexYvCTp2LGjOnLkd2a5cJFiC1f37t3LMgcAAABwRZk1y3lW66233tT06bMtSgN3VWzheuqpp8oyBwAAAHBFOT+79X/joxYlgTtz+RouAAAAAFKtWrUvGF9nURK4sxLdpVCSoqKitHr1ap04cUK5ublO66Kjoy97MAAAAMCdjRw5Vs89N7pwPGrUWOvCwG2VaIZrwYIFeu2119SoUSMdP35cXbt2VcOGDZWWlqbIyEizMwIA4Fa8vZ3v1lulShWLkgCwUt269QtnuWrVuo4bZqBIJSpcS5Ys0aRJkzR27FjZ7XYNGTJE7777roYPH64TJ06YnREAALeSlZXpNM7IyLAoCQCrjRw5Vl5elZndQrFKVLgSEhLUpEkTSdI111xT+PDjPn36aO3atealAwAAANxY3br19dFHXzC7hWKVqHBVr15dKSkpkqSaNWtq165dkqQjR47IZrOZlw4AAAAArmCXLFxbt26VJLVu3VobNmyQJA0YMECvvvqqhg4dqqefflrh4eHmpwQAwI1wDRcAoKQueZfCBx98UNdee63uuusuDRgwQJJ07733qmrVqtq5c6e6d++uQYMGlUlQAADchcPhcBrn5eVZlAQA4O4uWbhWr16tpUuX6rPPPtM777yjdu3aaeDAgerevbt69epVVhkBAHArZ87kOI1zcnKK2RIAUN5d8pTCBg0a6J///Kc2b96sGTNmyGazafTo0erQoYPeeOMNHT58uKxyAgAAAG4nJeW0xo8fp9TUFKujwE2V6KYZdrtd3bp109y5c7VhwwYNHTpU69atU+/evXXfffeZnREAAABwS1FRi3Tw4AEtXfqF1VHgpkpUuP4qODhYgwcP1tChQ+Xr66udO3eakQsAALd1zTVeTmMvL69itgRwNUtJOa2NG6NlGIY2bYpmlgtFuuQ1XBfaunWroqKitH79elWqVEm9e/fWwIEDzcoGALiKbN68QRs3rrc6xmVRv34DHTiwr3Bcr14DTZjwvIWJLo/OnbuqY8cwq2MAV4yoqEUyjHxJUn5+vpYu/UIPPfS4xangbv62cJ04cULLli3TsmXLdOLECbVo0UKTJk1Sjx49VKlSpbLICAAAALidmJhNhXcpzcvLU0zMJgoXLnLJwjVs2DBt375dAQEB6t+/vwYMGKA6deqUVTYAwFWkY8ewq2r25PyM1oQJUy1OAsAq7dt30oYN65SXlye73a727TtZHQlu6JKFy8vLS2+//bY6deokT0/PssoEAAAAuL3IyEHauDFakuTh4aEBA+6xOBHc0SUL15w5c8oqBwAAAHBF8fcPUOfOXbRu3bfq1KmL/Pz8rY4EN+TSTTMAAAAA/J/IyEGKjz/K7BaKReECAAAASsnfP0ATJ75idQy4MZefwwUAAACgQFzcYT3wwD06cuR3q6PATVG4AAAAgFKaNetN5eRk66233rQ6CtwUhQsAAAAohbi4wzp2LF6SdOzYUWa5UCQKFwAAAFAKs2Y5z2oxy4WiULgAAACAUjg/u/V/46MWJYE7o3ABAAAApVCrVu0LxtdZlATujMIFAAAAlMLIkWOdxqNGjS1mS5RnFC4AAACgFOrWrV84y1Wr1nWqU6eexYngjihcAAAAQCmNHDlWXl6Vmd1CsexWBwAAAACuVHXr1tdHH31hdQy4MWa4AAAAAMAkFC4AAAAAMAmFCwAAAABMQuECAAAAAJNQuAAAAADAJBQuAAAAADAJhQsAAAAATELhAgAAAACTULgAAAAAwCQULgAAAAAwCYULAAAAAExC4QIAAAAAk1C4AAAAAMAkFC4AAAAAMAmFCwAAACillJTTGj9+nFJTU6yOAjflNoXL4XCoX79+evTRRyVJ8fHxGjhwoMLDwzV69GidO3dOknTu3DmNHj1a4eHhGjhwoI4dO1b4HnPnzlV4eLi6d++umJiYwuVbtmxR9+7dFR4ernnz5hUuL24fAAAAQElERS3SwYMHtHTpF1ZHgZtym8K1cOFCNWjQoHA8bdo0DRs2TOvWrZOvr6+WLl0qSVqyZIl8fX21bt06DRs2TNOmTZMkHTp0SKtXr9bq1au1YMECTZw4UQ6HQw6HQ5MmTdKCBQu0evVqffXVVzp06NAl9wEAAAD8nZSU09q4MVqGYWjTpmhmuVAktyhcCQkJ2rRpkwYMGCBJMgxD3333nbp37y5J6t+/v6KjoyVJGzZsUP/+/SVJ3bt317Zt22QYhqKjo9W7d29VrFhRtWvXVp06dbRnzx7t2bNHderUUe3atVWxYkX17t1b0dHRl9wHAAAA8HeiohbJMPIlSfn5+cxyoUh2qwNI0tSpU/Xss88qKytLkpSSkiJfX1/Z7QXxQkJClJiYKElKTExUjRo1JEl2u11VqlRRSkqKEhMT1bRp08L3DA4OLnxNSEiI0/I9e/Zcch+X4ulpk59f5cvwqXGlstsL/k7B9wFQvnEsABAbu1l5eXmSpLy8PMXGbtYzz4y1OBXcjeWFa+PGjQoICNCtt96q77//3uo4f8vhMJSamm11DFgoL6/gL1l8HwDlG8cCAKGhHbVhwzrl5eXJbrcrNLQjx4RyLDCwSpHLLS9cO3fu1IYNG7RlyxadPXtWmZmZevnll5Wenl74zZuQkKDg4GBJBTNUJ0+eVEhIiPLy8pSRkSF/f38FBwcrISGh8H0TExMLX1PUcn9//2L3AQAAAPydyMhB2rix4JIUDw8PDRhwj8WJ4I4sv4Zr7Nix2rJlizZs2KDp06erdevWevPNN9WqVSutWbNGkrR8+XKFhYVJksLCwrR8+XJJ0po1a9S6dWvZbDaFhYVp9erVOnfunOLj4xUXF6cmTZqocePGiouLU3x8vM6dO6fVq1crLCxMNput2H0AAAAAf8ffP0CdO3eRzWZTp05d5Ofnb3UkuCHLC1dxnn32WX3wwQcKDw9XamqqBg4cKEkaMGCAUlNTFR4erg8++EDPPPOMJKlhw4bq2bOnevXqpYceekgvvfSSPD09Zbfb9dJLL+mhhx5Sr1691LNnTzVs2PCS+wAAAABKIjJykG666RZmt1Asm2EYhtUhriS5uQ7OzS3nJkx4/s9/p1qcBICVOBYAAP6quGu43HaGCwAAAACudBQuAAAAADAJhQsAAAAATELhAgAAAACTULgAAAAAwCQULgAAAAAwCYULAAAAAExC4QIAAAAAk1C4AAAAAMAkFC4AAACglFasWKK7775TK1cuszoK3BSFCwAAACilzz77WJL0yScfWhsEbovCBQAAAJTCihVLnMbMcqEoFC4AAACgFM7Pbp3HLBeKQuECAAAAAJNQuAAAAADAJBQuAAAAoBQGDx7qNB4yZJg1QeDWKFwAAABAKdSvf73TuF69BhYlgTujcAEAAAClMGPG607j6dNfsygJ3BmFCwAAACiFrKysC8aZFiWBO6NwAQAAAKXg7e19wdjHoiRwZxQuAAAAoBSefvo5p/GYMf+0KAncGYULAAAAKAVf36oXjH0tSgJ3RuECAAAASmHWrDedxm+99WYxW6I8o3ABAAAApXDsWPwF46MWJYE7o3ABAAAApVCrVu0LxtdZlATujMIFAAAAlMLIkWOdxqNGjS1mS5RnFC4AAACgFOrWrV84y1Wr1nWqU6eexYngjihcAAAAQCmNHDlWXl6Vmd1CsShcAAAAAGASChcAAABQSrNmvamcnGxuCY9iUbgAAACAUoiLO1x4a/hjx47qyJHfLU4Ed0ThAgAAAEqBBx+jJChcAAAAQCnw4GOUBIULAAAAKAUefIySoHABAAAApcCDj1ESFC4AAACgFHjwMUqCwgUAAACUEg8+xt+xWx0AAAAAuFLVrVtfH330hdUx4MaY4QIAAABKac+eXRo0qJ/27v3J6ihwUxQuAAAAoJRmzHhdhpGv6dNfszoK3BSFCwAAACiFPXt2KSsrS5KUlZXJLBeKROECAAAASmHGjNedxsxyoSgULgAAAKAUzs9u/d8406IkcGcULgAAAKAUvL29Lxj7WJQE7ozCBQAAAJTC008/5zQeM+afFiWBO6NwAQAAAKXQpMlthbNc3t4+aty4qcWJ4I548DEAAADKzObNG7Rx43qrY1w2lSpVUlZWlqpVq6YJE563Os5l0blzV3XsGGZ1jKsGM1wAAABAKZ05c0aVK1eWj08Vq6PATTHDBQAAgDLTsWPYVTV7cn5Wa8KEqRYngbtihgsAAAAATELhAgAAAACTULgAAAAAwCQULgAAAAAwCYULAAAAAExC4QIAAAAAk1C4AAAAAMAkFC4AAAAAMAmFCwAAAABMQuECAAAAAJNQuAAAAADAJHarA+BiH344X3Fxv1sdA8WIizssSZow4XmLk6AodevW07BhD1sdAwAAQBKFyy3Fxf2uw78fVs3ada2OgiJ4+/pJks7k5VsbBBc5ER9ndQQAAAAnFC43VbN2XT3+7ASrYwBXlDlvTLA6AgAAgBOu4QIAAAAAk1C4AAAAAMAkFC4AAAAAMAmFCwAAAABMQuECAAAAAJNQuAAAAADAJBQuAAAAADAJhQsAAAAATELhAgAAAACTULgAAAAAwCQULgAAAAAwCYULAAAAAExC4QIAAAAAk1C4AAAAAMAkFC4AAAAAMAmFCwAAAABMYrc6AACgaB9+OF9xcb9bHQPFiIs7LEmaMOF5i5OgOHXr1tOwYQ9bHQNAOUfhAgA3FRf3u/576JAqV69hdRQUIb9iZUlSfGqWxUlQlOxTJ62OAACSKFwA4NYqV6+hRv0etToGcMXZv2Ku1REAQBLXcAEAAACAaShcAAAAAGASChcAAAAAmITCBQAAAAAmoXABAAAAgEksL1wnT57U0KFD1atXL/Xu3VsfffSRJCk1NVXDhw9Xt27dNHz4cKWlpUmSDMPQlClTFB4eroiICO3fv7/wvZYvX65u3bqpW7duWr58eeHyffv2KSIiQuHh4ZoyZYoMw7jkPgAAAADgcrC8cHl6eupf//qXvv76ay1atEifffaZDh06pHnz5qlNmzZau3at2rRpo3nz5kmStmzZori4OK1du1aTJ0/WhAkTJBWUp9mzZ2vx4sVasmSJZs+eXVigJkyYoMmTJ2vt2rWKi4vTli1bJKnYfQAAAADA5WB54QoKClKjRo0kST4+Pqpfv74SExMVHR2tfv36SZL69eun9evXS1LhcpvNpmbNmik9PV1JSUmKjY1Vu3bt5Ofnp6pVq6pdu3aKiYlRUlKSMjMz1axZM9lsNvXr10/R0dFO73XhPgAAAADgcnCrBx8fO3ZMP//8s5o2bark5GQFBQVJkgIDA5WcnCxJSkxMVEhISOFrQkJClJiYeNHy4ODgIpef315Ssfu4FE9Pm/z8Kv/vH/YS7HYPKS/f1H0AVyu73cP0n9GyYrdb/jcx4Ip2NR0P4L7OH6v5XkNx3KZwZWVlaeTIkXr++efl4+PjtM5ms8lms5m6/5Luw+EwlJqabWqWPMoWUGp5efmm/4yWFY4FwP/majoewH2dP1bzvYbAwCpFLneLP5/m5uZq5MiRioiIULdu3SRJ1apVU1JSkiQpKSlJAQEBkgpmrhISEgpfm5CQoODg4IuWJyYmFrn8/PaX2gcAAAAAXA6WFy7DMPTCCy+ofv36Gj58eOHysLAwrVixQpK0YsUKdenSxWm5YRjavXu3qlSpoqCgIIWGhio2NlZpaWlKS0tTbGysQkNDFRQUJB8fH+3evVuGYRT5XhfuAwAAAAAuB8tPKfzxxx/15Zdf6oYbblDfvn0lSWPGjNEjjzyi0aNHa+nSpapZs6ZmzpwpSerYsaM2b96s8PBweXl5aerUqZIkPz8/PfHEExowYIAk6cknn5Sfn58kafz48Ro3bpzOnDmjDh06qEOHDpJU7D4AAAAA4HKwvHA1b95c//3vf4tcd/6ZXH9ls9k0fvz4IrcfMGBAYeH6q8aNG+urr766aLm/v3+R+wAAAACAy8HyUwoBAAAA4GpF4QIAAAAAk1C4AAAAAMAkFC4AAAAAMInlN80ASuvma33l7VXJ6hhlKivnrH4+nm51DAAAAJQQhQtXLG+vSgq/72GrY5SpdZ/OtzoCAAAAXMAphQAAAABgEgoXAAAAAJiEwgUAAAAAJuEaLlx1nrj/HnVq3UL+VX313a49enHa25KkCna7Hr43Up3atJTXNZV07GSinnl5mrKyc3RdzRCNefgBNaxXR4l/JOv/LfxcP+49IElqdEMDjRw+RLVqBOvIsROavmChDsUdlSS1vaOZHhk8UIEB/vr50GFNm/ehEv44JUnqHdZB9/XvI18fb/2494CmzftQGZlZF+X18PDQk/ffoy7tWinfMPTNxlgt+CJKhmGU0VcMAAAAZmGGC1elTdu2X7TswUF3qX+Prvp+1x7N/uhzHfztd3l4FPwIPP/UI6pds4bmfrpYeQ6HXhz5qCp7ealCBbteGvW4vK65Ru9+slj+VX310qjH5GGzyb+qr1546hFl5+Ro3udL1bBeHT372HBJUoM6tTV6xFAdPX5SC6NWqlWzxnp8yKAis/brFqY7wztrXcx3itn+o+7u013dOrQ174sDAACAMkPhwlXnnYVfKOqb9U7LKlWsqDu7dtK+//6qGQsWan3sd3rr/U+UkZmlBnVqq0Gd2tq0bbtWrtukqG/WybtyZXVoeYdaNm2sAL+qWrV+o1at36RvN8WqRlCgmt5yozq3aamKFSvoi5Xf6Mu1G/SfHbvU5KYbVCMoUN3/LEzvL16uxV+t0f5ff1PnNi1UocLFk8rdOrRVVk6O5nz8hWZ/9LnO5eaqe4d2ZfK1AgAAgLk4pdANpaam6HRKiua8McHqKG7tvbn/r8Tb1giqrooVK6iav59Wvj9bnh4e2rjtB02b96FqBFaXJJ06nfrnvymFr/HO9CpYllKw7o8/14UEBSokqLrTur++LuTP90z+c9mp0ymy2+0KCgjQ8cQkp2whQdWVkpqufMNQfm6eMjKzVOPP9y4K3xfFOxEfpwB/f6tjAAAAFKJwoVyoYC/4Vq9apYqmzf1Qbe9opvD2bbT34C8XXVdlk63Y97HZil93iZdd8j0BAABw9aJwuSE/P39d41NVjz87weooV43EU6eVn5+vuGPHtem7H5SZla3ObVuqRnCgfvn9iCSpeoCfJKnan/+eTDqljKyCMhYYUDBrUt2/YF1C0h/yqlTpz9edX+df+LrzN86oHuCv5NQ0VQvwU15enpJOn5aHzSZPu6cceQ7lG4YSkk6pRlBg4XLfKj46eOj3Yj8L3xfFm/PGBF1j50xpAADgPihcuOq0bNZY9WpdK6mgKPXsFKo9P/+i73fv1e233qy+4Z3VoumtkqS9B3/Vb0fi9duReHVq01JHjp9Qny6dlJWTo5gfftS53FylpKWrT5dOys45ox6dQnUy6ZR+OvBfHTl+UiPuuUuDInrIv6qv2jW/TXsP/qqTSX9oXcw29e/RVcPv7q+d+w6oUcMG2rhtu3Jz89StQ1s9++hwzf10iZZ+vVbrYrbpsSF36/Gh96hCBbsq2O1au2WrlV9CAAAAXCb8KRhXnbt7d9dD90ZKKrhb4JiHH1CjG6/XW+9/or0Hf9Ujgweqbu1rNefjRfrhp32SpFf+3wIdO5mgR++7WxXsdk2ZNVdZ2TnKzc3T5Fnv6szZM3ri/nuUmp6hKbPeVb5h6HRqml6ZPV8+lb30yOABOnTkqN6Y+4Ek6de4o5r1waeqc20NPRDZV9t/2qc5Hy8uMu+KtRu0av0mhbdvrY6tmmvp1+u0Zst/yuaLBQAAAFMxw4WrzjMvTyt23bjXZha5/MjxExo14dUi1+09+Kse+dfEItfF7til2B27ily3av0mrVq/6aLla7dsdZrBcjgcmvXBp5r1wafF5gYAAMCVicIFALjiPdP9VlXz9bY6RplJTs/StDX7rI4BACgBChcA4IpXzddb4fc9bHWMMrPu0/lWRwAAlBDXcAEAAACASShcAAAAAGASTinEFSsr52y5O60mK+es1REAAGXsww/nKy6u+OczwlpxcYclSRMmPG9xEhSnbt16GjbMutPOKVy4Yv18PN3qCADc2BP336NOrVvIv6qvvtu1Ry9Oe1uS9OKox3R7o5tVsUIFnUj6Qx8t/VKxP+yUJDW6oYFGDh+iWjWCdeTYCU1fsFCH4o5Kktre0UyPDB6owAB//XzosKbN+7DwIee9wzrovv595OvjrR/3HtC0eR8qI7PgwelD7opQ3/DOqlSxgmK279TM9z9Wbm7eRXm9rqmkp0fcr9a3N1XOmTNasnqtln69tiy+VHBzcXG/a//BX+TwCrA6Copgy6sgSdpz5JTFSVAUz5zTVkegcAEArl6btm1X/x5dnZYdOXZCO37ap0qVKmrYwH567rEHtfXH3fL09NBLox7X2XO5eveTxRrct5deGvWYho15QVV9q+iFpx7RkeMnNO/zaD14d389+9hwjZ38hhrUqa3RI4bqx70HtHPfAT14d389PmSQXn/3fbVrfpseiLxTG7dtV0LSKd3bt5eSTiXro6iVF2UdPrCfOrdtqYVRK1X/utp69L6BOhR3VLsPHCyrLxfcmMMrQDnX97I6BnDF8Tr0tdURuIYLAHB1emfhF4r6Zv1FyxdGrVTsDzu1a99BZWVlSzIkSS2bNlaAX1WtWr9Rq9Zv0rebYlUjKFBNb7lRndu0VMWKFfTFym/05doN+s+OXWpy0w2qERSo7h3aSpLeX7xci79ao/2//qbObVqoQgW7uv257v999LneX7xcSaeS1a1juyLzhrdvq7hjJ/TxslWa+2nBg9K7d2xrwlcGAFCWmOECADeVmpqi7FPJ2r9irtVR3N/AVi5tvnDGK/Lxrqxz53L1yjsLlJ+fr5DA6pKkUympkqQ/TqdIkkKCAhUS5Lzu1J/ragRVL3xd8p/LTp1Okd1uV1BAgEICqys3L09pGZmF73nz9fVl9/RUnsNRmKeKd2X5eFfWfw//fsH7Bxb7Gfi+uLTsUyeVqmpWxwAAZrgAAOXP+Bn/T9PmfajsM2c0fGA/VbBf/PdHm81W/BtcclXxKy/5nqXYDgDg/pjhAgA35efnrwxVVKN+j1od5aqz5+dftOfnX9TkphvUrUNb1at9beENMAID/CVJ1f39JEkJSX/Iq1KlgmWF6wr+PZl0qvB11QP8lZyapmoBfsrLy1PS6dNK+OOU6l9XS36+VZSanqHq/n46lZKqPIdDHh4e8vT0UF6eQxlZ2crKzi58/2p/7vtk0h/Ffga+Ly5t/4q58vPztjoGAFC4AABXp5bNGqterWslFZSonp1C9fNvv+u+fr21e/9BeV1zjdq1uE1nz53TyaQ/9Pux40pJS1efLp2UnXNGPTqF6mTSKf104L86cvykRtxzlwZF9JB/VV+1a36b9h78VSeT/tC6mG3q36Orht/dXzv3HVCjhg20cdt25ebmad2WrWp7RzM9MfQeJfxxSkHVq+mT5V9Jku7r11v3R96pSW/NUcz2nVobs039u3fRkLsi1OC62pKktVu2Wvb1AwBcHhQuAMBV6e7e3dX0lhslSQ3q1NaYhx/QR1ErVTM4SK2aNZFhGDpy/IQWLl2pjKxsSdLkWe/qH8MG64n779GRYyc0Y8FC5RuGTqem6ZXZ8/Xw4AF6ZPAAHfztd02b+6Ek6de4o5r1waca3LeXGt/YUNt/2qc5Hxfc9CJ2xy59smyVIsI7qWKFCloXs02ff1n0HbM+XLJC/lV9NahPd+WcOasFn0dp137uUAgAVzoKFwDgqvTMy9OKXP7JslXFvmbvwV/1yL8mFrkudscuxe7YVeS6Ves3adX6TUWu+yhqZZG3gf942Sp9/Jcs2Tln9PLb84rNBgC4MnHTDAAAAAAwCYULAAAAAExC4QIAAAAAk1C4AAAAAMAk3DQDAHDFS07P0rpP51sdo8wkp2dZHQEAUEIULgDAFW/amn1WRwAAoEicUggAAAAAJqFwAQAAAIBJKFwAAAAAYBIKFwAAAACYhMIFAAAAACahcAEAAACASShcAAAAAGASChcAAAAAmITCBQAAAAAmoXABAAAAgEkoXAAAAABgEgoXAAAAAJiEwgUAAAAAJqFwAQAAAIBJ7FYHAAAAAC63VS/2VY1qvlbHuOxOJqcrYvKXVseACyhcAAAAuOrUqOar8PsetjrGZbfu0/lWR4CLOKUQAAAAAEzCDJebOhEfpzlvTLA6BoqQkZ4qSari62dpDlzsRHyc6terb3UMAACAQhQuN1S3bj2rI+ASEv4sXIEBAdYGwUXq16vPzw8AAHArFC43NGzY1Xe+8dVkwoTn//x3qsVJAACAq7wre+nJ++9Vm9ubytPTQ7/GHdXYyW+o0Q0NNHL4ENWqEawjx05o+oKFOhR3VJLU9o5memTwQAUG+OvnQ4c1bd6HSvjjlCSpd1gH3de/j3x9vPXj3gOaNu9DZWRmSZKG3BWhvuGdValiBcVs36mZ73+s3Ny8izJ5XVNJT4+4X61vb6qcM2e0ZPVaLf16bdl9UWAqruECAABAufHMI8MU1q6Vvt0cqzkfL9KJhCRVqGDXS6Mel9c11+jdTxbLv6qvXhr1mDxsNvlX9dULTz2i7Jwczft8qRrWq6NnHxsuSWpQp7ZGjxiqo8dPamHUSrVq1liPDxkkSWrX/DY9EHmndu3/WSvWbFC3Dm01+M5eRWYaPrCfOrdtqSWr1+jAr4f16H0D1eyWm8rsawJzUbgAAABQLoQEVldoi9u1cet2vffFMq3Z/B+9Of8jtWzaWAF+VbVq/UatWr9J326KVY2gQDW95UZ1btNSFStW0Bcrv9GXazfoPzt2qclNN6hGUKC6d2grSXp/8XIt/mqN9v/6mzq3aaEKFezq9ue6//fR53p/8XIlnUpWt47tiswV3r6t4o6d0MfLVmnup4slSd07ti2bLwpMxymFAAAAbiw1NUWeOcnyOvS11VGuMEMvWlKnVk1J0o3162rV+7OVn29o+ZpopaSlS5JOpaRKkv44nSJJCgkKVEhQdad1p/5cVyOoukICC9Yl/7ns1OkU2e12BQUEKCSwunLz8pSWkVn4njdfX192T0/lORyFmap4V5aPd2X99/DvF7x/YLGfjO+FkvPMSVZqqqelGZjhAgAAQLlQwV4w13DNNZX08tvztP+XQxoU0UOens7/SWyz2Yp/k0uuKn7lJd+zFNvhysEMFwAAgBvz8/PX0TSHcq4v+voflNz5G13sO/irYnfsUlXfKrrt1psLi1JggL8kqbq/X8H2SX/Iq1KlgmWF6wr+PZl0qvD9qgf4Kzk1TdUC/JSXl6ek06eV8Mcp1b+ulvx8qyg1PUPV/f10KiVVeQ6HPDw85Onpobw8hzKyspWVnV34/tX+3PfJpD+K/Rx8L5Sc16Gv5efnb2kGZrgAAABQLhyKO6rDR4+pWaOb1LNze3Xv2E4Oh0Pf796jlLR09enSSX26dFSPTqE6mXRKPx34rzZ994PO5eZqUEQP9e0WpnbNb9Peg7/qZNIfWhezTZI0/O7+urtPdzVq2ECbvvtBubl5WrdlqyTpiaH36MG7+yuoejWt/XPZff166+sP5yi0xW2SpLUx21Tn2poacleEHr3v7oJlf26LKx+FCwAAAOXG1NnzdTLpDz11/72q4u2t1959X3HHTmjyrHd15uwZPXH/PUpNz9CUWe8q3zB0OjVNr8yeL5/KXnpk8AAdOnJUb8z9QJL0a9xRzfrgU9W5toYeiOyr7T/t05yPC256Ebtjlz5Ztkq3N75Z/bqHaV3MNn3+ZdHXXn24ZIU2ffeDBvXprkY3NNCCz6O0a//BMvuawFycUggAbiz71EntXzHX6hgoQm52hiSpQuUqFidBUbJPnZT8rrc6BtzQkeMnNGrCqxct33vwVz3yr4lFviZ2xy7F7thV5LpV6zdp1fpNRa77KGqlPopaedHyj5et0sfLVhWOs3PO6OW355UgPa5EFC4AcFN169azOgIuIS41UZJUu2aIxUlQJL/r+RkC4BYoXADgpoYNe9jqCLiECROe//PfqRYnAQC4M67hAgAAAACTULgAAAAAwCScUggAAODmPHNOy+tQ0Xe4Q9FOJvbQuk/nWx3jsjuZ+AffCy7wzDktqbqlGShcAAAAboybf5TOlEmTymQ/cXGHJUl169Yvk/1JUpM61haIK0t1y3+GKFwAAABujBvouDduoIO/wzVcAAAAAGASChcAAAAAmITCBQAAAAAmoXABAAAAgEkoXAAAAABgEgoXAAAAAJiEwgUAAAAAJqFwAQAAAIBJKFwAAAAAYBIKFwAAAACYhMIFAAAAACaxGYZhWB3iSpKb61BqarbVMa4omzdv0MaN662OcdnExR2WJNWtW9/iJJdH585d1bFjmNUxUA5wLHB/HA9QFjgWuD+OBaUTGFilyOX2Ms4BXPH8/PytjgDADXAsACBxLMDfY4bLRcxwAQAAALhQcTNc5f4ari1btqh79+4KDw/XvHnzrI4DAAAA4CpSrguXw+HQpEmTtGDBAq1evVpfffWVDh06ZHUsAAAAAFeJcl249uzZozp16qh27dqqWLGievfurejoaKtjAQAAALhKlOubZiQmJiokJKRwHBwcrD179lzyNZ6eNvn5VTY7GgAAAICrQLkuXKXhcBjcNAMAAACAE26aUYTg4GAlJCQUjhMTExUcHGxhIgAAAABXk3JduBo3bqy4uDjFx8fr3LlzWr16tcLCeMgbAAAAgMujXJ9SaLfb9dJLL+mhhx6Sw+FQZGSkGjZsaHUsAAAAAFcJHnzsIh58DAAAAOBCXMMFAAAAAGWMwgUAAAAAJqFwAQAAAIBJKFwAAAAAYBIKFwAAAACYhMIFAAAAACahcAEAAACASShcAAAAAGASChcAAAAAmITCBQAAAAAmoXABAAAAgEkoXAAAAABgEgoXAAAAAJjEZhiGYXUIAAAAALgaMcMFAAAAACahcAEAAACASShcAAAAAGASChcAAAAAmITCBQAAAAAmoXABAAAAgEkoXAAAAABgEgoXYIK3335b7733ntUxAFwGQ4cO1d69eyVJ7777bole8/DDDys9Pd3MWAAstmzZMiUmJlodA1cAChcAACU0d+7cEm03f/58+fr6Oi0zDEP5+flmxAJggeXLlyspKanIdQ6Ho4zTwJ3ZrQ4AlLUVK1bovffek81m04033qiePXtqzpw5ys3NlZ+fn6ZNm6bq1atr+/btevnllyVJNptNn3zyiWw2m5544gmlp6crLy9Po0aNUteuXSVJc+bM0YoVKxQQEKAaNWqoUaNGkqSff/5Z48ePV05Ojq677jpNnTpVVatWtezzA5Cys7M1evRoJSQkKD8/X0888YT8/f312muvyeFw6NZbb9XEiRNVsWLFwtdMmzZNZ86cUd++fXX99dfrzTff1JdffqmPP/5Yubm5atq0qcaPHy9PT0+FhYVp6dKlys7O1ogRI9S0aVPt379f8+bN0yeffKKYmBjZbDY9/vjj6tWrl4VfCQB/9cEHHygqKkqSNGDAAHXt2lWPPfaYvvrqK0nSe++9p+zsbDVs2FD79u3TM888o2uuuUaLFi1Sr1691LNnT23dulUPPfSQDMPQ3LlzZRiGOnbsqGeffVYOh0MvvPCC9u3bJ5vNpsjISA0bNszCT4wyYQDlyC+//GJ069bNSE5ONgzDMFJSUozU1FQjPz/fMAzDWLx4sfHKK68YhmEYjz76qLFjxw7DMAwjMzPTyM3NNXJzc42MjAzDMAwjOTnZ6Nq1q5Gfn2/s3bvX6NOnj5GdnW1kZGQYXbt2NRYsWGAYhmH06dPH+P777w3DMIyZM2caU6ZMKdPPDOBi3377rfHCCy8UjtPT040OHToYhw8fNgzDMJ599lnjgw8+MAzDMIYMGWLs2bPHMAzDaNasWeFrDh06ZDz66KPGuXPnDMMwjPHjxxvLly83DMMwOnfubCQnJxvx8fHGjTfeaOzatatwv8OGDTPy8vKMP/74w+jYsaORmJho8qcFUBLnf5dnZWUZmZmZRq9evYz9+/cbvXv3LtxmwYIFxqxZswzDcD42GEbBz/28efMMwzCMhIQEo2PHjkZycrKRm5trDB061Fi3bp2xd+9eY9iwYYWvSUtLK6NPBytxSiHKle+++049evRQQECAJMnPz08JCQkaMWKEIiIitGDBAv3666+SpNtvv12vvvqqFi5cqIyMDNntdhmGoenTpysiIkLDhw9XYmKiTp06pR07dqhr167y8vKSj4+PwsLCJEkZGRnKyMhQy5YtJUn9+/fXjh07rPnwAArdcMMN2rp1q9544w3t2LFDx48fV61atVSvXj1JJftZ3bZtm/bt26cBAwaob9++2rZtm+Lj4y/armbNmmrWrJkk6ccff1Tv3r3l6emp6tWrq0WLFoXXhwGw1o8//qiuXbuqcuXK8vb2Vnh4uMu/s8/PWO/du1ctW7ZUQECA7Ha7IiIi9MMPP6h27dqKj4/X5MmTtWXLFvn4+JjxUeBmOKUQ5d6UKVM0bNgwdenSRd9//71mz54tSXrkkUfUsWNHbd68Wffee68WLFign376SadPn9ayZctUoUIFhYWF6ezZsxZ/AgCuqlevnpYtW6bNmzdr5syZat26tcvvYRiG+vfvr7Fjx15yu8qVK5c2JgCLpaenO117+Xe/8728vC65vmrVqvryyy8VGxurL774Qt98841eeeWVy5IV7osZLpQrrVu31rfffquUlBRJUmpqqjIyMhQcHCyp4Pqu844ePaobb7xRjzzyiBo3bqzff/9dGRkZqlatmipUqKDvvvtOx48flyS1aNFC69ev15kzZ5SZmamNGzdKkqpUqSJfX9/Cv5B9+eWXatGiRRl+YgBFSUxMlJeXl/r27asRI0Zo165dOn78uI4cOSKp+J9Vu92u3NxcSVKbNm20Zs0aJScnSyo4npw/JhSnefPm+uabb+RwOHT69Gnt2LFDTZo0ucyfDkBpNG/eXOvXr1dOTo6ys7O1fv16dejQQcnJyUpJSdG5c+e0adOmwu29vb2VlZVV5Hs1adJEP/zwg06fPi2Hw6HVq1erRYsWOn36tAzDUPfu3TV69GgdOHCgjD4drMQMF8qVhg0b6rHHHtPQoUPl4eGhW265RU899ZRGjRqlqlWrqlWrVjp27Jgk6aOPPtL3338vm82mhg0bqkOHDsrMzNTjjz+uiIgI3Xrrrapfv74kqVGjRurVq5f69u2rgIAANW7cuHCfr732WuFNM2rXrs1fsgA38Msvv+j111+Xh4eH7Ha7JkyYoMzMTI0aNarwphn33nvvRa+7++67deedd+qWW27Rm2++qdGjR+vBBx9Ufn6+KlSooJdeeknXXnttsfsNDw/Xrl271LdvX9lsNj377LMKDAw086MCKKFGjRrprrvu0sCBAyUV3DSjSZMmevLJJzVw4EAFBwcX/t6XCk49Hj9+fOFNM/4qKChIY8eO1QMPPFB404yuXbvq4MGDGjduXOGs2ZgxY8ruA8IyNsMwDKtDAAAAAMDViFMKAQAAAMAkFC4AAAAAMAmFCwAAAABMQuECAAAAAJNQuAAAAADAJBQuAABK4L333lNYWFiZ7Gvo0KGaNGlSibd/++231adPn2LHAADr8BwuAIDb+te//qXly5dftLxp06ZavHhxiV6fkpKiuXPnmhGvVDIzM7VgwQKtXbtWx44dk4+Pjxo0aKBBgwapV69e8vDw0Ntvvy27veS/oh988EENGTLExNQAgNKicAEA3Frbtm31+uuvOy2rUKGCRWn+N+np6Ro8eLDS0tI0evRoNWnSRBUqVNCPP/6od955R82aNVOtWrXk5+fn0vt6e3vL29vbnNAAgP8JhQsA4NYqVqyowMDAYtd/8cUX+uCDD3TixAlVrlxZt956q+bOnas5c+YUzo7deOONkqSFCxeqVatWmjZtmtatW6eTJ0+qevXq6tGjh0aNGqVKlSoVvu/8+fP14YcfKjs7W+Hh4apdu7bTfvPz8zVnzhwtXrxYycnJqlevnkaNGqWuXbsWm3X69Ok6duyYvv32W4WEhBQur1u3rtMpgEOHDlXDhg310ksvafr06YqNjdWyZcuc3uuee+7Rrbfeqn//+996++23tWbNGn311Vcl+IoCAMoShQsAcMXau3evJk2apFdffVV33HGHMjIy9N1330kqOM3ut99+U1paWuEMWdWqVSVJXl5emjp1qoKDg/Xbb79p/PjxqlixokaPHi1J+vrrr/XWW2/p3//+t1q1aqVvv/1W8+fPd5p5Wrhwod577z1NnDhRt956q1auXKl//OMfWrZsmW6++eaLsubn5+vrr79WRESEU9k6769l76/uvPNOzZ07V7/99psaNGggSYqPj9euXbv0/PPPl/prBwAoG9w0AwDg1mJiYnTbbbc5/e+NN96QJJ08eVJeXl4KCwvTtddeq5tuuknDhg2T3W6Xt7e3rrnmmsIZssDAQFWsWFGS9OSTT+qOO+5QrVq11LFjRz366KNavXp14T4XLlyofv366Z577lG9evX0+OOPq0mTJk653nvvPT344IOKiIgonN1q3ry53nvvvSI/R0pKitLS0gpLU0ldf/31uuWWW7Rq1arCZatWrVLdunUvygQAcD/McAEA3Frz5s01efJkp2VVqlSRVHB9V82aNdWlSxeFhoYqNDRU4eHh8vHxueR7fvvtt/roo4909OhRZWdny+FwKD8/v3D9b7/9pgEDBji9plmzZjp69KikghtfJCUl6Y477nDa5vbbb9eWLVuK3KdhGCX7wEW488479emnnxbOwK1atUoRERGlfj8AQNlhhgsA4Na8vLxUp04dp/8FBARIknx8fLR8+XLNnDlTNWvW1Ny5c9WzZ08lJiYW+367d+/WmDFjFBoaWnid1+jRo5Wbm3tZ8tpstiKXBwQEyNfXV7/99pvL79m7d2+dOHFCu3bt0v79+3X48GH17dv3f40KACgDFC4AwBXNbrerTZs2Gjt2rFauXKmcnBxt2rRJUsHdDB0Oh9P2O3fuVHBwsJ588kk1adJEdevW1YkTJ5y2adCggX766SenZX8d+/j4KCgoSD/++ONF713cKYMeHh7q1auXVq1apYSEhIvWnz17VmfPni3ytUFBQWrdurVWrVqlVatW6bbbbrvoJh4AAPfEKYUAALd27tw5/fHHH07LPD09FRAQoI0bN+ro0aNq0aKFqlatqu+//15ZWVmFpefaa6/Vli1bdPjwYfn5+alKlSqqW7euEhMTtXLlSt12222KiYm56O5+999/v5577jk1btxYLVu21Jo1a/TTTz853TRjxIgRmjVrlurWratGjRpp5cqV2rFjR5HPDTvv6aef1vbt2zVw4MDC28JXrFhRu3bt0vz58zV37lzVqlWryNfeeeedevXVV1WhQgU99thjpfxqAgDKGoULAODWtm7dqtDQUKdlwcHB2rJli6pUqaL169frnXfeUU5Ojq677jpNmTJFzZs3lyTdfffd2r59uyIjI5Wdna2FCxcqLCxMI0aM0NSpU3X27Fm1a9dOI0eO1MSJEwvfv1evXoqPj9eMGTN05swZhYWFafjw4U5l6v7771dWVpbeeOONwtvCv/3227rpppuK/Sx+fn5avHixFixYoPnz5+v48ePy8fHR9ddfryeeeEI1a9Ys9rXh4eGaMGGCMjMz1atXr9J+OQEAZcxm/C9X8QIAAAAAisU1XAAAAABgEgoXAAAAAJiEwgUAAAAAJqFwAQAAAIBJKFwAAAAAYBIKFwAAAACYhMIFAAAAACahcAEAAACASf4/7IPo2srS3fAAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,8))\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "box_plot = sns.boxplot(y=\"limite\",\n",
+    "                       x='estado_civil',\n",
+    "                       palette='Blues', \n",
+    "                       data=df) \n",
+    "ax = box_plot.axes\n",
+    "lines = ax.get_lines()\n",
+    "categories = ax.get_xticks()\n",
+    "for cat in categories:\n",
+    "    # every 4th line at the interval of 6 is median line\n",
+    "    # 0 -> p25 1 -> p75 2 -> lower whisker 3 -> upper whisker 4 -> p50 5 -> upper extreme value\n",
+    "    y = round(lines[4+cat*6].get_ydata()[0],1) \n",
+    "    ax.text(\n",
+    "        cat, \n",
+    "        y, \n",
+    "        f'{y}', \n",
+    "        ha='center', \n",
+    "        va='center', \n",
+    "        fontweight='bold', \n",
+    "        size=10,\n",
+    "        color='white',\n",
+    "        bbox=dict(facecolor='#445A64'))\n",
+    "\n",
+    "box_plot.figure.tight_layout()\n",
+    "plt.suptitle('Limites', fontsize=22)\n",
+    "plt.ylabel('Valor', size=14)\n",
+    "plt.xlabel('Estado Civil', size=14)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "ce7f749a-fbe5-47cc-9365-65dcd8d59cc7",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,8))\n",
+    "plt.ticklabel_format(style='plain', axis='y',useOffset=False)\n",
+    "box_plot = sns.boxplot(y=\"limite\",\n",
+    "                       x='educacao',\n",
+    "                       palette='Blues', \n",
+    "                       data=df) \n",
+    "ax = box_plot.axes\n",
+    "lines = ax.get_lines()\n",
+    "categories = ax.get_xticks()\n",
+    "for cat in categories:\n",
+    "    # every 4th line at the interval of 6 is median line\n",
+    "    # 0 -> p25 1 -> p75 2 -> lower whisker 3 -> upper whisker 4 -> p50 5 -> upper extreme value\n",
+    "    y = round(lines[4+cat*6].get_ydata()[0],1) \n",
+    "    ax.text(\n",
+    "        cat, \n",
+    "        y, \n",
+    "        f'{y}', \n",
+    "        ha='center', \n",
+    "        va='center', \n",
+    "        fontweight='bold', \n",
+    "        size=10,\n",
+    "        color='white',\n",
+    "        bbox=dict(facecolor='#445A64'))\n",
+    "\n",
+    "box_plot.figure.tight_layout()\n",
+    "plt.suptitle('Limites', fontsize=22)\n",
+    "plt.ylabel('Valor', size=14)\n",
+    "plt.xlabel('Estado Civil', size=14)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "1ea84499-69b8-4918-ac63-3ae482d71724",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
       "image/png": 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       "text/plain": [
        "<Figure size 1296x864 with 20 Axes>"
@@ -3547,14 +3900,395 @@
    ],
    "source": [
     "df.hist(bins=50, figsize=(18,12))\n",
+    "plt.ticklabel_format(style='plain', axis='x',useOffset=False)\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
+   "id": "ba4c88e9-370c-45dd-b425-613d136dfcf9",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "pieces = []\n",
+    "for col in df.columns[df.columns.str.startswith('status_')]:\n",
+    "    tmp_series = df[col].value_counts()\n",
+    "    tmp_series.name = col\n",
+    "    pieces.append(tmp_series)\n",
+    "df_value_counts = pd.concat(pieces, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "186e5a84-5f65-4cad-b2a3-c4e6fe1186c1",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df_value_counts.sort_index().sort_index(axis=1).plot.bar(figsize=(12,8), \n",
+    "                                                         #stacked=True, \n",
+    "                                                         colormap='Blues')\n",
+    "plt.suptitle('Distribuição dos Stastus de pagamento ao longo dos seis meses', fontsize=22)\n",
+    "plt.ylabel('Quantidade', size=14)\n",
+    "plt.xlabel('Status', size=14)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "400641b1-ca21-4ab6-b430-97cebb86db2c",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_0611c_row0_col0, #T_0611c_row1_col2, #T_0611c_row1_col9, #T_0611c_row2_col7, #T_0611c_row2_col9, #T_0611c_row3_col8, #T_0611c_row4_col1, #T_0611c_row4_col4, #T_0611c_row4_col5, #T_0611c_row4_col6, #T_0611c_row5_col3, #T_0611c_row5_col10 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 100.0%, transparent 100.0%);\n",
+       "}\n",
+       "#T_0611c_row0_col1 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 94.9%, transparent 94.9%);\n",
+       "}\n",
+       "#T_0611c_row0_col2 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 96.1%, transparent 96.1%);\n",
+       "}\n",
+       "#T_0611c_row0_col3, #T_0611c_row1_col3 {\n",
+       "  width: 10em;\n",
+       "}\n",
+       "#T_0611c_row0_col4 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 70.4%, transparent 70.4%);\n",
+       "}\n",
+       "#T_0611c_row0_col5, #T_0611c_row5_col0 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 56.4%, transparent 56.4%);\n",
+       "}\n",
+       "#T_0611c_row0_col6 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 49.5%, transparent 49.5%);\n",
+       "}\n",
+       "#T_0611c_row0_col7 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 37.1%, transparent 37.1%);\n",
+       "}\n",
+       "#T_0611c_row0_col8 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 82.6%, transparent 82.6%);\n",
+       "}\n",
+       "#T_0611c_row0_col9 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 79.3%, transparent 79.3%);\n",
+       "}\n",
+       "#T_0611c_row0_col10, #T_0611c_row2_col10 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 10.5%, transparent 10.5%);\n",
+       "}\n",
+       "#T_0611c_row1_col0 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 92.9%, transparent 92.9%);\n",
+       "}\n",
+       "#T_0611c_row1_col1 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 91.6%, transparent 91.6%);\n",
+       "}\n",
+       "#T_0611c_row1_col4 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 66.9%, transparent 66.9%);\n",
+       "}\n",
+       "#T_0611c_row1_col5 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 54.6%, transparent 54.6%);\n",
+       "}\n",
+       "#T_0611c_row1_col6 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 84.8%, transparent 84.8%);\n",
+       "}\n",
+       "#T_0611c_row1_col7 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 48.6%, transparent 48.6%);\n",
+       "}\n",
+       "#T_0611c_row1_col8 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 17.4%, transparent 17.4%);\n",
+       "}\n",
+       "#T_0611c_row1_col10, #T_0611c_row4_col10 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 5.3%, transparent 5.3%);\n",
+       "}\n",
+       "#T_0611c_row2_col0 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 88.8%, transparent 88.8%);\n",
+       "}\n",
+       "#T_0611c_row2_col1, #T_0611c_row5_col1 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 94.0%, transparent 94.0%);\n",
+       "}\n",
+       "#T_0611c_row2_col2 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 97.1%, transparent 97.1%);\n",
+       "}\n",
+       "#T_0611c_row2_col3, #T_0611c_row3_col3 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 0.1%, transparent 0.1%);\n",
+       "}\n",
+       "#T_0611c_row2_col4 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 80.4%, transparent 80.4%);\n",
+       "}\n",
+       "#T_0611c_row2_col5 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 55.2%, transparent 55.2%);\n",
+       "}\n",
+       "#T_0611c_row2_col6 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 69.7%, transparent 69.7%);\n",
+       "}\n",
+       "#T_0611c_row2_col8 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 21.7%, transparent 21.7%);\n",
+       "}\n",
+       "#T_0611c_row3_col0 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 83.5%, transparent 83.5%);\n",
+       "}\n",
+       "#T_0611c_row3_col1 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 98.1%, transparent 98.1%);\n",
+       "}\n",
+       "#T_0611c_row3_col2 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 93.0%, transparent 93.0%);\n",
+       "}\n",
+       "#T_0611c_row3_col4 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 97.2%, transparent 97.2%);\n",
+       "}\n",
+       "#T_0611c_row3_col5 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 73.6%, transparent 73.6%);\n",
+       "}\n",
+       "#T_0611c_row3_col6, #T_0611c_row5_col6 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 76.8%, transparent 76.8%);\n",
+       "}\n",
+       "#T_0611c_row3_col7 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 60.0%, transparent 60.0%);\n",
+       "}\n",
+       "#T_0611c_row3_col9 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 46.6%, transparent 46.6%);\n",
+       "}\n",
+       "#T_0611c_row3_col10 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 15.8%, transparent 15.8%);\n",
+       "}\n",
+       "#T_0611c_row4_col0 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 77.3%, transparent 77.3%);\n",
+       "}\n",
+       "#T_0611c_row4_col2 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 92.8%, transparent 92.8%);\n",
+       "}\n",
+       "#T_0611c_row4_col3 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 0.8%, transparent 0.8%);\n",
+       "}\n",
+       "#T_0611c_row4_col7 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 71.4%, transparent 71.4%);\n",
+       "}\n",
+       "#T_0611c_row4_col8 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 52.2%, transparent 52.2%);\n",
+       "}\n",
+       "#T_0611c_row4_col9 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 34.5%, transparent 34.5%);\n",
+       "}\n",
+       "#T_0611c_row5_col2 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 87.0%, transparent 87.0%);\n",
+       "}\n",
+       "#T_0611c_row5_col4 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 67.9%, transparent 67.9%);\n",
+       "}\n",
+       "#T_0611c_row5_col5 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 98.8%, transparent 98.8%);\n",
+       "}\n",
+       "#T_0611c_row5_col7 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 74.3%, transparent 74.3%);\n",
+       "}\n",
+       "#T_0611c_row5_col8 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 47.8%, transparent 47.8%);\n",
+       "}\n",
+       "#T_0611c_row5_col9 {\n",
+       "  width: 10em;\n",
+       "  background: linear-gradient(90deg, lightsteelblue 15.5%, transparent 15.5%);\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_0611c\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_0611c_level0_col0\" class=\"col_heading level0 col0\" >-2</th>\n",
+       "      <th id=\"T_0611c_level0_col1\" class=\"col_heading level0 col1\" >-1</th>\n",
+       "      <th id=\"T_0611c_level0_col2\" class=\"col_heading level0 col2\" >0</th>\n",
+       "      <th id=\"T_0611c_level0_col3\" class=\"col_heading level0 col3\" >1</th>\n",
+       "      <th id=\"T_0611c_level0_col4\" class=\"col_heading level0 col4\" >2</th>\n",
+       "      <th id=\"T_0611c_level0_col5\" class=\"col_heading level0 col5\" >3</th>\n",
+       "      <th id=\"T_0611c_level0_col6\" class=\"col_heading level0 col6\" >4</th>\n",
+       "      <th id=\"T_0611c_level0_col7\" class=\"col_heading level0 col7\" >5</th>\n",
+       "      <th id=\"T_0611c_level0_col8\" class=\"col_heading level0 col8\" >6</th>\n",
+       "      <th id=\"T_0611c_level0_col9\" class=\"col_heading level0 col9\" >7</th>\n",
+       "      <th id=\"T_0611c_level0_col10\" class=\"col_heading level0 col10\" >8</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0611c_level0_row0\" class=\"row_heading level0 row0\" >status_0504</th>\n",
+       "      <td id=\"T_0611c_row0_col0\" class=\"data row0 col0\" >4895</td>\n",
+       "      <td id=\"T_0611c_row0_col1\" class=\"data row0 col1\" >5740</td>\n",
+       "      <td id=\"T_0611c_row0_col2\" class=\"data row0 col2\" >16286</td>\n",
+       "      <td id=\"T_0611c_row0_col3\" class=\"data row0 col3\" >nan</td>\n",
+       "      <td id=\"T_0611c_row0_col4\" class=\"data row0 col4\" >2766</td>\n",
+       "      <td id=\"T_0611c_row0_col5\" class=\"data row0 col5\" >184</td>\n",
+       "      <td id=\"T_0611c_row0_col6\" class=\"data row0 col6\" >49</td>\n",
+       "      <td id=\"T_0611c_row0_col7\" class=\"data row0 col7\" >13</td>\n",
+       "      <td id=\"T_0611c_row0_col8\" class=\"data row0 col8\" >19</td>\n",
+       "      <td id=\"T_0611c_row0_col9\" class=\"data row0 col9\" >46</td>\n",
+       "      <td id=\"T_0611c_row0_col10\" class=\"data row0 col10\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0611c_level0_row1\" class=\"row_heading level0 row1\" >status_0505</th>\n",
+       "      <td id=\"T_0611c_row1_col0\" class=\"data row1 col0\" >4546</td>\n",
+       "      <td id=\"T_0611c_row1_col1\" class=\"data row1 col1\" >5539</td>\n",
+       "      <td id=\"T_0611c_row1_col2\" class=\"data row1 col2\" >16947</td>\n",
+       "      <td id=\"T_0611c_row1_col3\" class=\"data row1 col3\" >nan</td>\n",
+       "      <td id=\"T_0611c_row1_col4\" class=\"data row1 col4\" >2626</td>\n",
+       "      <td id=\"T_0611c_row1_col5\" class=\"data row1 col5\" >178</td>\n",
+       "      <td id=\"T_0611c_row1_col6\" class=\"data row1 col6\" >84</td>\n",
+       "      <td id=\"T_0611c_row1_col7\" class=\"data row1 col7\" >17</td>\n",
+       "      <td id=\"T_0611c_row1_col8\" class=\"data row1 col8\" >4</td>\n",
+       "      <td id=\"T_0611c_row1_col9\" class=\"data row1 col9\" >58</td>\n",
+       "      <td id=\"T_0611c_row1_col10\" class=\"data row1 col10\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0611c_level0_row2\" class=\"row_heading level0 row2\" >status_0506</th>\n",
+       "      <td id=\"T_0611c_row2_col0\" class=\"data row2 col0\" >4348</td>\n",
+       "      <td id=\"T_0611c_row2_col1\" class=\"data row2 col1\" >5687</td>\n",
+       "      <td id=\"T_0611c_row2_col2\" class=\"data row2 col2\" >16455</td>\n",
+       "      <td id=\"T_0611c_row2_col3\" class=\"data row2 col3\" >2</td>\n",
+       "      <td id=\"T_0611c_row2_col4\" class=\"data row2 col4\" >3159</td>\n",
+       "      <td id=\"T_0611c_row2_col5\" class=\"data row2 col5\" >180</td>\n",
+       "      <td id=\"T_0611c_row2_col6\" class=\"data row2 col6\" >69</td>\n",
+       "      <td id=\"T_0611c_row2_col7\" class=\"data row2 col7\" >35</td>\n",
+       "      <td id=\"T_0611c_row2_col8\" class=\"data row2 col8\" >5</td>\n",
+       "      <td id=\"T_0611c_row2_col9\" class=\"data row2 col9\" >58</td>\n",
+       "      <td id=\"T_0611c_row2_col10\" class=\"data row2 col10\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0611c_level0_row3\" class=\"row_heading level0 row3\" >status_0507</th>\n",
+       "      <td id=\"T_0611c_row3_col0\" class=\"data row3 col0\" >4085</td>\n",
+       "      <td id=\"T_0611c_row3_col1\" class=\"data row3 col1\" >5938</td>\n",
+       "      <td id=\"T_0611c_row3_col2\" class=\"data row3 col2\" >15764</td>\n",
+       "      <td id=\"T_0611c_row3_col3\" class=\"data row3 col3\" >4</td>\n",
+       "      <td id=\"T_0611c_row3_col4\" class=\"data row3 col4\" >3819</td>\n",
+       "      <td id=\"T_0611c_row3_col5\" class=\"data row3 col5\" >240</td>\n",
+       "      <td id=\"T_0611c_row3_col6\" class=\"data row3 col6\" >76</td>\n",
+       "      <td id=\"T_0611c_row3_col7\" class=\"data row3 col7\" >21</td>\n",
+       "      <td id=\"T_0611c_row3_col8\" class=\"data row3 col8\" >23</td>\n",
+       "      <td id=\"T_0611c_row3_col9\" class=\"data row3 col9\" >27</td>\n",
+       "      <td id=\"T_0611c_row3_col10\" class=\"data row3 col10\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0611c_level0_row4\" class=\"row_heading level0 row4\" >status_0508</th>\n",
+       "      <td id=\"T_0611c_row4_col0\" class=\"data row4 col0\" >3782</td>\n",
+       "      <td id=\"T_0611c_row4_col1\" class=\"data row4 col1\" >6050</td>\n",
+       "      <td id=\"T_0611c_row4_col2\" class=\"data row4 col2\" >15730</td>\n",
+       "      <td id=\"T_0611c_row4_col3\" class=\"data row4 col3\" >28</td>\n",
+       "      <td id=\"T_0611c_row4_col4\" class=\"data row4 col4\" >3927</td>\n",
+       "      <td id=\"T_0611c_row4_col5\" class=\"data row4 col5\" >326</td>\n",
+       "      <td id=\"T_0611c_row4_col6\" class=\"data row4 col6\" >99</td>\n",
+       "      <td id=\"T_0611c_row4_col7\" class=\"data row4 col7\" >25</td>\n",
+       "      <td id=\"T_0611c_row4_col8\" class=\"data row4 col8\" >12</td>\n",
+       "      <td id=\"T_0611c_row4_col9\" class=\"data row4 col9\" >20</td>\n",
+       "      <td id=\"T_0611c_row4_col10\" class=\"data row4 col10\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0611c_level0_row5\" class=\"row_heading level0 row5\" >status_0509</th>\n",
+       "      <td id=\"T_0611c_row5_col0\" class=\"data row5 col0\" >2759</td>\n",
+       "      <td id=\"T_0611c_row5_col1\" class=\"data row5 col1\" >5686</td>\n",
+       "      <td id=\"T_0611c_row5_col2\" class=\"data row5 col2\" >14737</td>\n",
+       "      <td id=\"T_0611c_row5_col3\" class=\"data row5 col3\" >3688</td>\n",
+       "      <td id=\"T_0611c_row5_col4\" class=\"data row5 col4\" >2667</td>\n",
+       "      <td id=\"T_0611c_row5_col5\" class=\"data row5 col5\" >322</td>\n",
+       "      <td id=\"T_0611c_row5_col6\" class=\"data row5 col6\" >76</td>\n",
+       "      <td id=\"T_0611c_row5_col7\" class=\"data row5 col7\" >26</td>\n",
+       "      <td id=\"T_0611c_row5_col8\" class=\"data row5 col8\" >11</td>\n",
+       "      <td id=\"T_0611c_row5_col9\" class=\"data row5 col9\" >9</td>\n",
+       "      <td id=\"T_0611c_row5_col10\" class=\"data row5 col10\" >19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc79b6b5e80>"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_value_counts.sort_index().T.sort_index().style.bar(color='lightsteelblue').format(\"{:.0f}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
    "id": "374ff970-6243-437a-8981-db3a906ec781",
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [
@@ -3562,7 +4296,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_2296/3797600517.py:3: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.\n",
+      "/tmp/ipykernel_2762/3797600517.py:3: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.\n",
       "  _ = df[[col for col in df if col.startswith('status_')]].hist(bins=30, color='lightsteelblue', edgecolor='white', linewidth=1.0,\n"
      ]
     },
@@ -3590,21 +4324,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 45,
    "id": "8a22d464-48bd-4188-b625-ae379de99f1d",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_2296/3991261664.py:3: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.\n",
+      "/tmp/ipykernel_2762/623753125.py:3: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.\n",
       "  _ = df[[col for col in df if col.startswith('saldo_')]].hist(bins=30, color='lightsteelblue', edgecolor='white', linewidth=1.0,\n"
      ]
     },
     {
      "data": {
-      "image/png": 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XJKSL9xDdfPPN5c6je/fu9qteZeXh4aHnn39evr6+9tg111yj//u//5MkLVmyRH/88Ue5cyvN0qVLlZaWpo4dO+r5559X3bp1i0y/+uqrFR4eXiTWq1cvNWrUqNhr3X777br77rvtVxMv9eGHH0qSJk2apBtuuMEeN5lM+tvf/qZmzZrp559/tg80UJqvvvpK6enpatWqlSZNmlTkM+3SpYtGjBjhcLk1a9bo119/VfPmzTVlyhSZTCb7tICAAHu3sA8++MAeL9x3OnTooGuuuabYa954440Ot4cj/fr1k7e3tzZt2qQzZ84UmXb27Flt2LBBXl5exa7E9uzZ0+F7l7TNnfnoo4+Ul5envn37Frva1a9fP/3pT3+S1WrVRx995HD58uzvv//+u/7zn/9IujiIxKXby9fXV88//3yx76V0sTvm22+/LUn6xz/+Uexeyj59+mj48OHKysrS559/XqacnPn3v/8tq9WqKVOmFLsadsMNN9iHtl+0aJE9vnfvXn399deqX7++/vWvf6lJkyZFlvP29nZ6Ze3uu+/WfffdVyQ2cOBAtWvXTtnZ2UpJSSkyLSQkpMh3qFCbNm00YcIESXL6PapTp45mzpwpi8Vij7Vv3149e/ZUQUGBfv/992Lfi+HDh6tBgwY6fvy4fvnlF3v84MGDWr16tZo3b65XX31Vfn5+9mkmk0mTJ09WQECAEhMTHXYpq1evnl566SXVr1/fHmvSpIlGjhwpSdq6davDdXDm559/1tq1a+3reOkx1c/PT7NmzVKdOnXsxwBXfPzxx8rPz9eAAQN0++23F5k2btw4BQUFOV22b9++xXodeHp66oknnlDjxo313XffKTs7uwxrWDIjjxFGGjJkiHr16uVw2pXsy0BVQLdA1DgFBQWSLv5gKE1ISIgWL16s1157TZIUERGhevXqGZLHnXfeWe5lnT2L6ZZbblGTJk2Unp6ulJQUQ7tpXGrz5s2SpKFDhzr8cevM6dOntWnTJh04cEBZWVnKz8+XJB04cECSdOTIEfuPybS0NP3000+qU6eOw/s2zGazBgwYoHfffVeJiYlO70u51Pbt2yVd/AFz6Q/BQgMHDrQXdI6WGzBggMN7noYMGaIXXnhBx44dU3p6upo0aaK2bduqfv36+uabb/Tvf/9bAwYMUPPmzUvN0RGLxaI+ffroyy+/1KpVq4rcS/Hll18qNzdXd999t8NuS6Vt86NHj7qUQ+E2GDJkiMPpQ4cO1erVq+33uFyuPPt7SkqKcnJy7PeoXa59+/YKDAws9gy7vXv3KiMjQzfccIPTboM333yzFi1apOTk5Ct+3lBBQYE2b94sDw8P/elPf3I4T5cuXSRJO3futMcKv0e33357mQevcfbDs23btjp06JBOnjxZbNoff/yhzZs364cfftCZM2eUm5srScrIyJDkfF9o1qyZw8F+Cgf26Nq1q8xmc5Fpnp6eat68uTIzM3Xy5En7oDjffvutPf/LT8pIF4/L4eHh2r9/v5KTk4sd52666SaHj9Io7ObnaL1L8v3338tmsyksLMxh9+3rr79eoaGh2rlzp7Zv316m44yzee+9917t2bPH6fJHjhzR5s2bdfz4cZ0/f142m03SxZMGBQUFOn78uDp06ODK6rnEqGOEkUo7XpR3XwaqAoor1DiFZ/4vPWPqzMCBA7VlyxZ98cUX+stf/iKTyaQbbrhBN998s/r27VvknqKyupIR+Bzdi1CoefPmSk9PV3p6erlfvzSFZ6Jd6ftfaMmSJXr55Zd14cIFp/Nceka2MH9/f395e3s7nL9ly5ZF5i1N4chZzrafs+Kn8PWdLeft7a3GjRvbt3uTJk3k4+Oj2bNn65lnntGbb76pN998U02aNFFYWJh69eplvxrlqiFDhujLL7/UihUrihRXK1askHTxZvLLlXWbl6S0bVDaZ1Ge/b2095QufmaXF1c//fSTpIs/DksbtOL06dNlzutymZmZ9u3YrVu3Eue99Mpj4cAAjn7Ul8bZwAY+Pj6SVOzK9c6dO/XEE0/YvwOOONsXrr32WofxwhNNzqYXXl26NJfCz2bRokVFruI54uizKW29C39ku8qVfaxFixbauXOnYccZZ/G8vDy98MILWrp0qb2gcsTIK1dGHiOMVNKJqCvZl4GqgOIKNYrNZtPevXslqciN/87UqVNHr7/+usaPH69NmzYpKSlJSUlJio2NVWxsrIYOHarZs2eXKxdHZ23dpfBqnqvKcrVKuvisleeff16enp7629/+pt69e+vaa6/VVVddJQ8PD73xxht69913Hf6gKOt7VSV/+tOfFBERoa+//lrbt29XUlKS1q5dq7Vr1+qtt97SokWLXB79KyIiQtdee6327Nmjffv2KTAwUIcPH9auXbvk7+9f5GZ96cq2eUnK+3lU5v5euD83adJEERERJc5bnsLmcoVn+k0mk0tXNgpdyb7typX3QhcuXNBjjz2m3377Tffdd58iIyPVunVr1a9fX3Xq1NGWLVs0duzYcr9XWXIp3FaXD77iiKOuX2V5r7KoCseZjz76SJ988okaN26sadOmqWPHjmrUqJH9quCIESO0c+fOMn9nnamoY4QrSmtznJ14utJ9GagKKK5Qo2zatElnz56Vl5eXw25GzgQEBNh/CBQUFOibb77R5MmTtWzZMvXt29c+ulRlKTzjXdK0xo0b22OFXdlycnIcLnPpPRGuaNq0qQ4dOqQjR44Uu7fKkXXr1slmsyk6Otphw3fs2LFiscL7T06ePKnc3Nxi3Y6k/50Fv/xeFWcK53O2/ZzFC5c7ceKEw+l//PGHvTvS5bn4+vpq8ODB9itLx48f1/Tp05WQkKA5c+bo9ddfdyn3wu6R7777rpYvX15kePABAwYUG3mvPNu8JIUj7f30009q1apVsell/SxcfU/Jtf39UoVXUvz9/Ys8WqCiNGzYUHXr1tXvv/+uGTNmFLkfqCSFV/OOHDlSkelp+/bt+u233xQUFKSXXnqp2PSy7gtXovBkQteuXTV16tRKe19nCvexwv3XkcLvfVmOMz/99JN+/vlnh98VZ8eRwvuEXnzxRfXu3bvYdKM/J6OPEZfy8vKS1WrV+fPni30frFarvfteWVWlfRkoLwa0QI1x9uxZ/f3vf5d0sbufq4MJXK5OnTrq3bu3/Zk1l3ZJKixi8vLyrjDbkqWmptr7w18qMTFR6enpqlevnm666SZ7vPBHweHDh4stY7PZ7Pd+uKrwKsmyZctcOqt59uxZSY67D50+fVrx8fHF4tdee61atmypgoICrVy5sth0q9WqVatWSfrf/SylKZxv9erV9jPol3I2uEHhwCVffPGFw892+fLlstlsat26dak/wFq1amV/1s3l3dlKU1igrVq1Srm5ufZ8HXUJLM82L0nhNijshni5zz77TJLrn4UrgoKCVK9ePaWlpdnvY7nU/v37HQ56EBISogYNGmjv3r2V8mPL09PT3h1w7dq1Li9XeFLm66+/NqR7ojOF+4Kzq6SFj06oDD179pR0cZ0r+jgplX5MDg8Pl4eHh3bt2uWwyD106JB27dqlOnXquDyAUeF8zo4nhcety5X0OX333XeG7yPlPUa40s4Vntxz1OZ899135f7sq9K+DJQXxRWqvYKCAn399de67777dOzYMbVt21Z/+9vfXFp2xYoVDm88PnPmjJKTkyUVvZek8If18ePHK/SHg81m0/PPP69z587ZY6dPn7afyRs+fHiRblhdu3ZVnTp1tHnzZu3YscMez8/P15tvvqndu3eX6f3vu+8+NW7cWDt37tTMmTOL3d9R+GyfQoVdr1auXKnz58/b49nZ2XrmmWeUlZXl8H0eeOABSdLcuXN16NChInm/9tpr+uWXX9S8eXOngwhc7u6775a/v7+OHTumefPmFSkMv//+ey1ZssThcvfcc4+aNm2qEydO6PXXXy/SpeXgwYOaN2+eJBV5ttCPP/6o1atX6/fffy/2eoUP8CzrfUjXXXedOnbsqN9++02vvvqq0tLSnHavKu82d2b06NHy9PTUl19+qf/+979Fpq1Zs0Zr1qyRl5fXFQ8OcamrrrrKPiLeSy+9VOTH5blz5/TCCy84LO69vLw0YcIE5efn6y9/+YvD/Ts3N1dff/11kf3qSvzlL3+Rl5eXXnrpJX355ZfF8rLZbNq9e7e2bNlij3Xo0EG9e/fW+fPn9dhjjxUbjOGPP/7QN998c8W5Fe4L27ZtK7K+BQUFeuutt5SUlHTF7+GqoKAg9enTR8eOHXN638zZs2e1ZMkSQ46hpR2TmzdvrrvuuksFBQV69tlnixxTs7Ky9Oyzz6qgoMB+DHDFyJEjVadOHX3++efFPr+YmJhiIzkWKryHdfHixUWOMcePH9dzzz3n0nuXRXmPESWdrCtUeLLh7bffLnIf3IEDBzRz5swrzrkq7MtAedEtENXKe++9Z+8q9ccff+j06dP68ccf7Y1Enz599OKLL7o0mIV0sdvE1KlT1aRJE914442yWCzKzMzUjh07lJOTo/Dw8CKjGjVv3lwdOnTQjz/+qHvvvVdBQUEym8267rrrNG7cOMPW8/bbb9eBAwfUp08fde3a1f4Q4ezsbAUHB2vixIlF5m/WrJkiIyO1aNEijRkzRp07d5aPj49+/PFHnT17VtHR0YqNjXX5/X18fPSvf/1L48eP16JFi/Tll1+qU6dO9ocI//jjj+rfv7+9y+CQIUO0cOFC7dmzR3369FHnzp1ls9n0/fffy8vLS0OHDtWyZcuKvU9UVJSSkpL0xRdfaODAgeratav9IcI//fST/Pz89I9//MNhl0FHrrrqKr322msaP3683nnnHa1du1YdOnTQyZMn9f3332v06NGKiYkptpy3t7f+8Y9/6KGHHtIHH3yg9evXKzg4WGfPnlVCQoKsVqsGDhxYZKjxX375RU8++aSuuuoqdejQQU2bNpXVatWPP/6on376SfXr1y/2ObliyJAh2rlzp/3zcjZ6X3m3uTPt27fXM888o5kzZ+qxxx5TaGioWrZsqePHj2v37t2qU6eOZsyYUeoAEmX1xBNPaMeOHdqzZ4/uvPNO3XLLLTKZTEpISJDFYtHtt99uL1YvNWbMGP3yyy+KiYnRsGHDFBgYqFatWsnLy0vp6enau3evcnJy9P777zscCa+sgoOD9corr+iZZ57RU089pddff13t2rWTn5+fzpw5o7179+rUqVN66KGHinQjfvnllzVu3Djt2LHD/jldffXVOnnypFJTU2WxWByuX1kEBQWpd+/e2rhxowYNGqSuXbvKYrHohx9+0K+//qpx48Zp/vz5V7oJXPbKK6/o0Ucf1X//+199++23at++vZo3b678/Hz99NNP2rdvn/Lz8zV48GCXH6zujCvH5Oeff15HjhxRYmKi+vTpY7/6mpCQoLNnz6p9+/Z69tlnXX7Pm266SU888YTeeOMNjR8/Xh07dlSzZs20f/9+HTx40Onxdvz48dqyZYv+85//KCEhQR06dLA/qLxjx4665ppriow2eaXKe4wICwuTv7+/9uzZoyFDhuiGG26Qp6enOnXqpKFDh9rX5auvvtLGjRv1pz/9STfddJMyMjL0ww8/6J577pHNZiuxu68zVW1fBsqDK1eoVrZs2aLly5drxYoV2rRpk44ePaqgoCCNHz9eq1at0ttvv12m7oAPPvigRo8ercaNGyslJUVfffWV9u3bpw4dOuill17Shx9+WGxo7nnz5umee+7R2bNn9eWXX+rTTz815Ozzpfz8/PTJJ5/ozjvv1M6dO/Xtt9+qQYMGeuSRR/TRRx85HC5++vTp+utf/6oWLVpox44d2rFjh0JCQrRs2bJyDesbHBysVatW6eGHH5a/v782bNigNWvWKDMzUwMGDCjyzCg/Pz8tW7ZMw4cPV7169bRp0yalpKTozjvv1Geffeb0jLCHh4fmzJmjV155RaGhodq1a5fWrVungoICRUZGauXKlQoJCSlT3t26ddMnn3yi22+/Xb/99pvWr19vP0M9bdo0p8uFhYVpxYoVGjFihPLz87Vu3Trt2rVLYWFheu211/TKK68UuSk+NDRUkydPVnh4uNLS0rR+/XrFx8frqquu0oMPPqhVq1YpODi4TLlLF4eRL7wq6ejZVoXKu81LMnLkSC1atEh33nmnTpw4oa+++ko///yz7rrrLi1evLjcz20rSf369RUbG6uHH35Yfn5++uabb5ScnKy7775bn3zySYknSqZNm6aPP/5Y/fr1U1ZWljZt2qTNmzfrzJkz6tWrl+bMmePSPYOu6tevn1atWqXo6GjVrVtX27dv1/r163Xs2DHdeOON+r//+79iV/YaNGigxYsXa8aMGerQoYN2796tdevW6cSJE+rcubMmT55sSG7//Oc/NXnyZLVu3VqJiYnaunWrrr/+ei1evNjeVa+y+Pj4KCYmRq+88opuvvlmHT9+XOvWrdP27dtVUFCg4cOHa8GCBWUaTbMkpR2Tr776ai1ZskSTJk1S48aN9e233+rbb7/VtddeqyeffFJxcXEOH3NQkvHjx2vevHkKCwvT3r17tWnTJl199dX64IMPnA4z3rFjR3366afq1auXsrOz9fXXXystLU2PPPKIFixY4PAxEFeivMcIs9ms+fPnq1evXvr555/1+eef69NPPy3SdbdVq1aKi4vT7bffrnPnzmnTpk3Kzs7W3/72N7366qtXlHdV2peB8vCwVcQwMQBqnD/++EP9+/fX/fffb3+gJwAAAP6HK1cAXOLt7a3bbrtN7733nrtTAQAAqJK45wpAiZYtW6b//ve/8vb21jfffOPyMNQAAAC1DcUVgBL5+PgoJSVFmZmZat68ucsjMQIAANQ23HMFAAAAAAbgnisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgAAAAADUFwBAAAAgAEorgAAAADAABRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKMEBgYKCOHTvmcNpnn32myMjISs4IAADnaLeAikFxBVQDubm5mjZtmjp16qTu3bvrww8/tE87ceKEAgMD1bFjR/t/b7/9tkvLStLSpUt15513qmPHjho7dqzS09Mrbb0AADVTRbZbq1ev1j333KOOHTuqb9++Wr9+faWtF1AaT3cnAKB08+bN07Fjx7Rx40b99ttvGj16tNq1a6eePXva59m+fbs8PYt/pUtaNiEhQW+88YY++ugjtW7dWi+99JImT56sjz/+uDJXDwBQw1RUu5Wenq6//e1vevvtt9WzZ0998803mjRpkjZs2KBGjRpV5ioCDnHlCrjMe++9p1tvvVUdO3bU3Xffra1bt2r37t0aPny4wsPD1aNHD7344ovKzc11uPyZM2f0yCOPqFOnTrrvvvt0/PjxItOTkpI0dOhQde7cWUOHDlVSUlKpOS1fvlwTJkyQn5+f2rVrp2HDhmn58uUurU9Jy27atEl/+tOfdMMNN8hsNmvChAnavn17sZwBAFVXbWq30tLSZLFYdNttt8nDw0O9evXSVVddRbuFKoPiCrjE4cOHtWjRIn366afauXOnFixYoObNm6tOnTqaNm2atm3bpiVLlmjr1q1avHixw9d48cUX5e3trS1btmj27NlatmyZfVpmZqbGjx+v6OhoJSQk6IEHHtD48eN15swZpzmdPXtWGRkZat++vT3Wvn17HTx4sMh8vXv3Vs+ePTVt2jSdPn3a5WVtNlux99y/f38pWwoAUBXUtnbrpptuUrt27fT1118rPz9f69evl9lsVmBgYNk3HlABKK6AS5hMJuXm5urQoUOyWq1q0aKFWrVqpZtuuklhYWHy9PRUixYtNHz4cG3fvr3Y8vn5+Vq3bp0mTpyoevXqKSAgQIMHD7ZP37Rpk1q3bq1BgwbJ09NT/fv3V9u2bbVx40anOeXk5EiSLBaLPWaxWHT+/HlJUsOGDfXpp59q48aN+uyzz3T+/HlNmTLFpWVvvfVWrVmzRqmpqfr999/19ttvy8PDQ7///nt5NyEAoBLVtnbLZDJp4MCB+utf/6rg4GBNnjxZL774ourVq1feTQgYinuugEu0bt1azzzzjObNm6eDBw+qR48eevrpp5WTk6OXX35ZKSkpunDhgvLz8xUUFFRs+dOnTysvL09Nmza1x5o1a2b/++TJk0X+XTi9pEEkChuM7OxseXt72/+uX7++JKl+/foKDg6WJF1zzTWaMWOGevTooezs7FKXjYiI0MSJEzVx4kRlZ2drzJgxql+/vq699tqybTgAgFvUtnYrPj5ec+bM0UcffaSgoCClpKRowoQJev/993XjjTeWbeMBFYArV8BlBgwYoLi4OG3cuFEeHh6aM2eOnn/+ebVt21Zr165VUlKSnnzySYfd6a6++mp5enrq119/tccu/btx48b65Zdfiizz66+/qkmTJk7z8fPzk7+/v1JTU+2x1NRUXX/99Q7n9/DwkHSxu58ry44cOVLr1q1TfHy87rrrLuXn5+uGG25wmg8AoGqpTe3W3r17FR4eruDgYNWpU0chISEKCQlRfHx8SZsIqDQUV8AlDh8+rK1btyo3N1dms1ne3t6qU6eOzp8/r/r166t+/fo6dOiQ4uLiHC5vMpl055136q233tKFCxd08ODBIjfw3nbbbTp69KhWrVqlvLw8rV69WgcPHlSvXr1KzGvQoEF65513dPbsWR06dEhLly61d9vYtWuXDh8+rIKCAp05c0azZs1Sly5d7F0qSlr2jz/+0P79+2Wz2fTLL7/o2Wef1ejRo+Xn52fA1gQAVLTa1m4FBwfr+++/1969eyVJP/74o3bs2ME9V6gyPGyOTmMAtVRqaqqmT5+uQ4cOycvLSx07dtSLL76o48ePa8aMGUpPT9eNN96orl27atu2bfbGKjAwUOvWrVPr1q11+vRpTZs2Tdu3b1fbtm3Vo0cPJSQk2Of9/vvvNXv2bB07dszenSM8PLzEvHJzc/Xcc89p7dq1qlu3rh566CE98MADkqQvvvhCb7zxhk6fPi0fHx9FRERoypQp8vf3L3XZrKwsjRw5Uj/99JPq16+vIUOG6IknnpDJZKqoTQwAMFBta7ck6eOPP9bChQv122+/6eqrr9bIkSP14IMPVsTmBcqM4goAAAAADEC3QAAAAAAwAKMFAlVEx44dHcbff//9UrtfAABQ2Wi3gOLoFggAAAAABqBbIAAAAAAYoEp3CywoKFB+PhfWAKCm8/KqOSNU0nYBQM3nrN2q0sVVfr5NmZk57k4DAFDB/P0t7k7BMLRdAFDzOWu36BYIAAAAAAYotbhKT0/X4MGDFRwcrLy8PJ04cUIRERGKjo4u8sC2+fPnKzIyUpMnT5bVai1TDAAAAACqu1KLqwYNGigmJkZhYWH2WEREhGJjY/XBBx9Ikk6dOmV/kndgYKDWr1/vcgwAAAAAaoJSiytvb2/5+fkViSUkJCgqKkoxMTGSpJSUFHXp0kXSxcIrOTnZ5RgAAAAA1ARlHtCicePGWrt2rcxmsyZMmKBbbrlFWVlZ8vHxkSRZLBZlZWW5HINzDRrWk5enayNoWfPylXmGG6gBACWjbQGAilPm4spsNstsNkuSevXqpQMHDshisSgtLU2SlJ2dLV9fX5djcM7L06SV3x1xad6B3a+r4GwAADUBbQsAVJwyjxaYnZ1t/zspKUmtWrVScHCwtm/fLkmKj49XaGioyzEAAAAAqAlKvXJltVr10EMPKTU1VWPHjtXNN9+sDRs2yGw2q3PnzvYCKTw8XJGRkWrWrJnGjBkjs9nsUgwAAAAAagIPm81WZR8jb7Xm1+oHMfr7W8rUdSMj41wFZwQAFaMmPUS4qrddtC0AcOV4iDAAAAAAVCCKKwAAAAAwAMUVAKBGSU9P1+DBgxUcHKy8vDzt2rVLI0aMUGRkpGbPnm2fr3PnzoqOjlZ0dLQyMzMlSZ9//rlGjBih8ePH2wdwchQDAMARiisAQI3SoEEDxcTEKCwsTJLUrFkzLVy4UHFxcTp16pT27dsnSQoICFBsbKxiY2PVoEEDWa1WLVmyRB9//LEGDhyoJUuWOIwBAOAMxRUAoEbx9vaWn5+f/d/+/v7y9vaWJHl5eclkuvgA3cOHDysqKkpz5syRzWbTsWPHFBAQIE9PT3Xr1k3JyckOYwAAOENxBQCoFVJTU3X69Gldf/31kqS1a9dq0aJFysrK0oYNG5SVlSUfHx9JksViUVZWlsMYAADOUFwBAGq8zMxMzZw5Uy+99JI91qBBA3l4eOiOO+7QgQMHZLFY7PdUZWdny9fX12EMAABnKK4AADVaXl6epkyZoqlTp8rf31+SlJOTo/z8fElSUlKSWrVqpTZt2ujAgQPKz89XfHy8QkNDHcYAAHDG090JAABgJKvVqoceekipqakaO3asbr75Zv3www967bXXJElPPfWU6tatq2eeeUb16tVTixYtNHHiRJlMJg0bNkwjR46Ur6+vXn/9dXl5eRWLAQDgjIfNZrO5OwlnqvpT7iuav79FK7874tK8A7tfp4yMcxWcEQBUDGdPuq+OqnrbRdsCAFfOWbtFt0AAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgAAAAADUFwBAAAAgAEorgAAAADAABRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgAAAAADUFwBAGqU9PR0DR48WMHBwcrLy5MkzZ49W1FRUZo1a5Z9viuJAQDgCMUVAKBGadCggWJiYhQWFiZJ2rNnj3JycrR48WJZrVbt3r37imIAADjj6e4EAAAwkre3t7y9ve3/Tk5OVkREhCQpIiJCycnJMplM5Y6FhIRU8hoBAKoLrlwBAGq0c+fOycfHR5JksViUlZV1RTEAAJzhyhUAoEazWCzKzs6WJGVnZ8vX11cmk6ncMQAAnOHKFQCgRgsLC9O2bdskSfHx8QoLC7uiGAAAzlBcAQBqFKvVqvvvv1+pqakaO3as8vLyZDabFRUVJZPJpJCQEAUFBZU7BgCAMx42m83m7iScsVrzlZmZ4+403Mbf36KV3x1xad6B3a9TRsa5Cs4IACqGv7/F3SkYpqq3XbQtAHDlnLVbpV654nkhAAAAAFC6UosrnhcCAAAAAKUrdbRAnhcCAAAAAKUr84AWPC8EAAAAAIor83OueF4IAAAAABRX5itXPC8EAAAAAIortbjieSEAAAAAUDqec1WF8SwSALUFz7mqPLQtAHDlyv2cKwAAAABA6SiuAAAAAMAAFFcAAAAAYACKKwAAAAAwAMUVAAAAABiA4goAUON9++23io6OVnR0tHr06KH169erc+fO9lhmZqYk6fPPP9eIESM0fvx4+0PvHcUAAHDE090JAABQ0Xr27KmePXtKkoYNG6Zu3bopICBAsbGx9nmsVquWLFmijz/+WOvWrdOSJUs0ZsyYYrFx48a5azUAAFUcV64AALXGTz/9pEaNGql+/fo6fPiwoqKiNGfOHNlsNh07dkwBAQHy9PRUt27dlJyc7DAGAIAzFFcAgFpj3bp1uvPOOyVJa9eu1aJFi5SVlaUNGzYoKytLPj4+kiSLxaKsrCyHMQAAnKG4AgDUGhs3btTtt98uSWrQoIE8PDx0xx136MCBA7JYLPZ7qrKzs+Xr6+swBgCAMxRXAIBaISMjQ15eXmrYsKFycnKUn58vSUpKSlKrVq3Upk0bHThwQPn5+YqPj1doaKjDGAAAzjCgBQCgVvj66691xx13SJKOHTumZ555RvXq1VOLFi00ceJEmUwmDRs2TCNHjpSvr69ef/11eXl5FYsBAOCMh81ms7k7CWes1nxlZua4Ow238fe3aOV3R1yad2D365SRca6CMwKAiuHvb3F3Coap6m0XbQsAXDln7RbdAgEAAADAABRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgAAAAAD8BDhGiK/oKBMz4mx5uUr80zVfQ4LAAAAUN1QXNUQpjp1XH4opHTxwZAAAAAAjEO3QAAAAAAwAMUVAAAAABiA4goAAAAADEBxBQAAAAAGoLgCANR4J06cUEREhKKjo/Xggw9KkubPn6/IyEhNnjxZVqu1TDEAAByhuAIA1AoRERGKjY3VBx98oFOnTikhIUFxcXEKDAzU+vXrXY4BAOAMxRUAoFZISEhQVFSUYmJilJKSoi5duki6WHQlJye7HAMAwBmecwUAqPEaN26stWvXymw2a8KECcrOzlajRo0kSRaLRVlZWcrKypKPj0+pMQAAnClXcXXixAn9+c9/Vrt27eTl5aUPPvhA8+fP19dff61mzZrp5ZdflpeXl8sxAAAqktlsltlsliT16tVLPj4+Sk9PlyRlZ2fL19dXFotFaWlppcZqk/yCAvn7W1ye35qXr8wzORWYEQBUbeXuFkjfdQBAdZGdnW3/OykpSa1bt9b27dslSfHx8QoNDVVwcLBLsdrEVKeOVn53xOX/vDxN7k4ZANyq3MUVfdcBANXFjh07NGTIEI0YMUJNmjRRaGiowsPDFRkZqdTUVPXp00eNGjVyKQYAgDPl6hZI33UAQHVy22236bbbbisSe/jhh/Xwww+XKwYAgCPlunJlNptVr149eXp6qlevXmrVqpW9y8Wl/dRdiQEAAABATVCu4oq+6wAAVA0NGtaTv7/F5f8AABWnXN0Cd+zYoblz58psNqtz585F+q43a9ZMY8aMkdlsdikGAADKz8vTpJXfHXF5/oHdr6vAbACgdvOw2Ww2dyfhjNWar8zM2jukq7+/xeUGc2D368rcuGZknCtvagBgqJp0RaWy266ytBVS2doL2hYAcMxZu1Xu0QIBAAAAAP9DcQUAAAAABqC4AgAAAAADUFwBAAAAgAEorgAAAADAABRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgDUeLt27dKIESMUGRmp2bNnS5I6d+6s6OhoRUdHKzMzU5L0+eefa8SIERo/fryys7OdxgAAcMTT3QnAPfILCuTvb3FpXmtevjLP5FRwRgBQcZo1a6aFCxfK29tbkydP1r59+xQQEKDY2Fj7PFarVUuWLNHHH3+sdevWacmSJRozZkyx2Lhx49y4JgCAqoziqpYy1amjld8dcWnegd2vq+BsAKBi+fv72//28vKSyWTS4cOHFRUVpU6dOmny5Mk6duyYAgIC5OnpqW7dumnGjBnq1atXsRgAAM5QXAEAao3U1FSdPn1a119/vdauXSs/Pz8999xz2rBhgxo2bCgfHx9JksViUVZWlrKysorF4By9IgDUdhRXAIBaITMzUzNnztQ//vEPSVKDBg0kSXfccYf27t2rO+64w35PVXZ2tnx9fWWxWIrF4By9IgDUdgxoAQCo8fLy8jRlyhRNnTpV/v7+ysnJUX5+viQpKSlJrVq1Ups2bXTgwAHl5+crPj5eoaGhDmMAADjDlSsAQI331Vdf6YcfftBrr70mSXrqqaf04osvql69emrRooUmTpwok8mkYcOGaeTIkfL19dXrr78uLy+vYjEAAJyhuAIA1Hj9+/dX//79i8SWL19ebL5BgwZp0KBBpcYAAHCEboEAAAAAYACKKwAAAAAwAMUVAAAAABiAe65QqrI8t0Ti2SUAAAConSiuUKqyPLdE4tklAIDSceIOQE1EcQUAACodJ+4A1ETccwUAAAAABqC4AgAAAAAD0C0QhitLP3r60AMAAKCmoLiC4crSj54+9AAAV3DiDkB1QHEFAACqPE7cAagOKK7gVpyJBAAYjWHeAbgLxRXcijORAACjMcw7AHdxS3E1e/ZspaSkqEOHDpo+fbo7UkA1xJlIAO5Cu1Wz0YsCgFEqvbjas2ePcnJytHjxYj333HPavXu3QkJCKjsNVENlPRPZv1trGksAV4x2q+YrS/tSlrZFon0BaptKL66Sk5MVEREhSYqIiFBycjKNFCoEjSUAI9Bu4VKc6ANQkkovrs6dO6eWLVtKkiwWiw4cOFDZKQDFVGRjmZ9fIJPJ9ed1l2X+2vLa/OCAO9Fu4UpU5Im+6npMryqvTduCiuBhs9lslfmGixYtUsOGDdW3b1+tW7dOaWlpGj16dGWmAACAy2i3AACucv1UgEHCwsK0bds2SVJ8fLzCwsIqOwUAAFxGuwUAcFWlF1dBQUEym82KioqSyWSi3zoAoEqj3QIAuKrSuwUCAAAAQE1U6VeuAAAAAKAmorgCAAAAAANQXAEAAACAAapVcZWdna1HHnlEI0aM0IoVK4pNGzNmjEaOHKnx48crOzvbPUkaZPbs2YqKitKsWbOKxPfv36/IyEiNGDFCqampbsquYjhb52effVYjRoxQZGRkrVlnSfr999/VvXt3xcfHuyGziuNsnTMzMzVp0iSNHj1a77zzjpuyqxjO1nnNmjW67777NGzYMK1fv95N2VWM9PR0DR48WMHBwcrLyysyrSYfx6qa2tiWXK42ti2O1Mb25nK1sf1xpDa2SZeq6PapWhVXS5cuVd++fbVo0SItXbpUubm59mleXl567bXXtGjRIt1xxx1avny5GzO9Mnv27FFOTo4WL14sq9Wq3bt326fNnTtXb7zxhubOnau5c+e6MUtjlbTODz30kJYsWaK///3vevvtt92YpbFKWmfp4v4eEBDgpuwqRknr/NZbb2nixIn66KOP9Oijj7oxS2OVtM4LFy5UbGysYmNjFRMT474kK0CDBg0UExPjcNjymnocq2pqY1tyudrYtjhSG9uby9XG9seR2tomXaqi26dqVVwlJyere/fuMplMat++vQ4fPmyf5u3trcaNG0uSPD09VadOtVq1IpKTkxURESFJioiIUHJysn1aVlaWmjZtqiZNmujcuXNuytB4Ja1zy5YtJVX/z/VyJa1zbm6ukpOT1alTJzdlVzFKWucDBw7o3XffVXR0tHbu3OmmDI1X2r594cIF5eTkyMfHx00ZVgxvb2/5+fk5nFZTj2NVTW1sSy5XG9sWR2pje3O52tj+OFJb26RLVXT7VK2OJufOnbN/2D4+Pg5X+vz58/rPf/6jAQMGVHZ6hrl0PS0Wi7KysuzTCgoK7H/XpFH0S1rnQm+88Yaio6MrO7UKU9I6L1++XPfee6+7UqswJa3zzp07NX78eL355pt69dVX3ZWi4Upa5zvvvFODBg3SwIEDNWrUKHelWOlq6nGsqqmNbcnlamPb4khtbG8uVxvbH0dok0pmxLHR06hkjJSRkaGnnnqqSOyaa66Rj4+PsrOz5e3trfPnz8tisRSZx2az6ZlnntETTzwhX1/fykzZUBaLxX7PWHZ2dpF18fDwsP9dk860lbTOkhQTE6N27dopPDzcHelVCGfrnJeXpy1btmjevHnFum5UdyV9zm3atFG7du0k1Z59++2339bq1aslXeyi1KNHD7fkWNlq6nGsqqmNbcnlamPb4khtbG8uVxvbH0dok0pmxLGxSu5B/v7+9j6fhf+9+eab6tixo7Zu3ar8/Hzt3btXbdu2LbLc3Llz1alTJ3Xr1s1NmRsjLCxM27ZtkyTFx8cX6RPq5+entLQ0paenq379+m7K0HglrfOWLVu0c+dOTZgwwU3ZVQxn63zq1Cn98ssvGjt2rD7//HO9/vrrOnv2rBszNU5Jn3ObNm108uRJ5eTkKD8/300ZGq+kdTabzapbt66uuuoqWa1WN2VY+WrqcayqqY1tyeVqY9viSG1sby5XG9sfR2iTSmbEsbFKFlfODBs2TKtWrdLIkSM1dOhQmc1mffvtt9q0aZPS09M1f/58rV+/XtHR0Vq8eLG70y23oKAgmc1mRUVFyWQyqWnTpvbRax5//HE98cQTmjRpkiZNmuTmTI1T0jrPnDlTJ06c0OjRo/Xss8+6OVPjOFvnJk2aaNmyZVqwYIHuvfdeTZ482Wnf4OqmpM954sSJmjx5ssaMGVOjbiguaZ0jIyPtoxINHz7czZkay2q16v7771dqaqrGjh2rxMTEGn8cq2pqY1tyudrYtjhSG9uby9XG9seR2tomXaqi2ycPW03ubA0AAAAAlaRaXbkCAAAAgKqK4goAAAAADEBxBQAAAAAGoLgCAAAAAANQXAEAym3atGnq1q2b+vfv79L8q1evVt++fdWvXz9Nnjy5grMDAKCoim63quRDhAEA1cOQIUM0atQoTZ06tdR5jx49qvfee09xcXHy8/PTqVOnKiFDAAD+p6LbLa5cAQDK7eabby72XJzjx49r7NixGjJkiKKionTo0CFJ0ieffKKRI0fa52/UqFGl5wsAqN0qut3iyhUAwFAzZszQCy+8oDZt2mjXrl164YUX9NFHH+no0aOSpBEjRqigoECPPfaYevbs6d5kAQC1npHtFsUVAMAw58+f186dO4s82T43N1eSlJ+fr2PHjik2NlZpaWkaNWqUVq1aJV9fX3elCwCo5YxutyiuAACGsdls8vX11cqVK4tNa9KkiUJDQ+Xl5aWWLVuqTZs2Onr0qEJCQtyQKQAAxrdb3HMFADCMj4+PWrRooTVr1ki62GilpqZKkvr06aPExERJ0unTp3X06FG1bNnSbbkCAGB0u+Vhs9lsFZsyAKCmeuqpp5SYmKgzZ86oUaNGevzxx3XLLbfo+eefV0ZGhvLy8tS3b1899thjstlsevnll7V582aZTCY98sgj6tevn7tXAQBQi1R0u0VxBQAAAAAGoFsgAAAAABiA4goAAAAADEBxBQAAAAAGoLgCAAAAAANQXAEAAACAASiuAAAAAMAAFFcAAAAAYACKKwAAAAAwAMUVAAAAABiA4goAAAAADEBxBQAAAAAGoLgCAAAAAANQXAEGCAwM1LFjxxxO++yzzxQZGVnJGQEA4BztFlAxKK6AaiA3N1fTpk1Tp06d1L17d3344Yf2aSdOnFBgYKA6duxo/+/tt992adnPP/+8yHKhoaEKDAxUSkpKpa4fAKBmqah2S5IuXLig559/Xl27dlXnzp01cuTISlsvoDSe7k4AQOnmzZunY8eOaePGjfrtt980evRotWvXTj179rTPs337dnl6Fv9Kl7Tsvffeq3vvvdc+72effaZ//etfCgoKqpT1AgDUTBXVbknSjBkzlJ+frzVr1sjPz0979+6ttPUCSsOVK+Ay7733nm699VZ17NhRd999t7Zu3ardu3dr+PDhCg8PV48ePfTiiy8qNzfX4fJnzpzRI488ok6dOum+++7T8ePHi0xPSkrS0KFD1blzZw0dOlRJSUml5rR8+XJNmDBBfn5+ateunYYNG6bly5e7tD5lWXb58uUaNGiQPDw8XHptAID71aZ269ChQ9qwYYNmzpypq6++WiaTSTfddJNLrwtUBoor4BKHDx/WokWL9Omnn2rnzp1asGCBmjdvrjp16mjatGnatm2blixZoq1bt2rx4sUOX+PFF1+Ut7e3tmzZotmzZ2vZsmX2aZmZmRo/fryio6OVkJCgBx54QOPHj9eZM2ec5nT27FllZGSoffv29lj79u118ODBIvP17t1bPXv21LRp03T69OkyLStJP//8s77//nsNHDjQtY0FAHC72tZu/fDDD2revLn++c9/qmvXrhowYIDWrl1b9g0HVBCKK+ASJpNJubm5OnTokKxWq1q0aKFWrVrppptuUlhYmDw9PdWiRQsNHz5c27dvL7Z8fn6+1q1bp4kTJ6pevXoKCAjQ4MGD7dM3bdqk1q1ba9CgQfL09FT//v3Vtm1bbdy40WlOOTk5kiSLxWKPWSwWnT9/XpLUsGFDffrpp9q4caM+++wznT9/XlOmTHFp2UutWLFC4eHhatmyZVk2GQDAjWpbu5WWlqb9+/fLYrFo8+bNmjFjhp5++mkdOnSovJsQMBT3XAGXaN26tZ555hnNmzdPBw8eVI8ePfT0008rJydHL7/8slJSUnThwgXl5+c7vC/p9OnTysvLU9OmTe2xZs2a2f8+efJkkX8XTk9PT3eaU7169SRJ2dnZ8vb2tv9dv359SVL9+vUVHBwsSbrmmms0Y8YM9ejRQ9nZ2aUue6mVK1dq/PjxpW8kAECVUdvarbp168rLy0uPPvqoPD091aVLF3Xt2lVbtmxRu3btyrbxgArAlSvgMgMGDFBcXJw2btwoDw8PzZkzR88//7zatm2rtWvXKikpSU8++aRsNluxZa+++mp5enrq119/tccu/btx48b65Zdfiizz66+/qkmTJk7z8fPzk7+/v1JTU+2x1NRUXX/99Q7nL7xfymazubzsjh07dPLkSd19991O8wAAVE21qd0KDAwsaVMAbkdxBVzi8OHD2rp1q3Jzc2U2m+Xt7a06dero/Pnzql+/vurXr69Dhw4pLi7O4fImk0l33nmn3nrrLV24cEEHDx4scgPvbbfdpqNHj2rVqlXKy8vT6tWrdfDgQfXq1avEvAYNGqR33nlHZ8+e1aFDh7R06VJ7t41du3bp8OHDKigo0JkzZzRr1ix16dLF3qWipGULrVixQnfddZd8fHyuYOsBACpbbWu3wsPD1bRpU7377rvKy8vTjh07lJCQoB49ehiwNYErR3EFXCI3N1evv/66unbtqh49euj06dN66qmnNHXqVH3xxRfq1KmTZsyYob59+zp9jWeffVY5OTnq3r27nn76aQ0ZMsQ+rWHDhvr3v/+tDz/8UF27dtX8+fP173//W1dffXWJeU2cOFEtW7ZU7969FR0drbFjx9qHpP3pp580btw4derUSQMGDJDZbNYbb7zh0rKS9Mcff2jNmjXFCi4AQNVX29otLy8v/etf/9K3336r8PBwzZgxQ6+++ipdAlFleNgcXSMGAAAAAJQJV64AAAAAwACMFghUER07dnQYf//99xUeHl7J2QAAUDLaLaA4ugUCAAAAgAHoFggAAAAABqjS3QILCgqUn8+FNQCo6by8TO5OwTC0XQBQ8zlrt6p0cZWfb1NmZo670wAAVDB/f4u7UzAMbRcA1HzO2i26BQIAAACAASiuAAAAAMAAFFcAAAAAYACKKwAAAAAwQJUe0KI6aNCwnrw8XRvlypqXr8wz3OQMAEBZ2k+JNhRA9UBxdYW8PE1a+d0Rl+Yd2P26Cs4GAIDqoSztp0QbCqB6oFsgAKBGSU9P1+DBgxUcHKy8vDxJ0uzZsxUVFaVZs2bZ57uSGAAAjlBcAQBqlAYNGigmJkZhYWGSpD179ignJ0eLFy+W1WrV7t27rygGAIAzdAsEANQo3t7e8vb2tv87OTlZERERkqSIiAglJyfLZDKVOxYSElLJawQAqC5KvXJ1efeKEydOKCIiQtHR0XrwwQft882fP1+RkZGaPHmyrFZrmWIAAFSUc+fOycfHR5JksViUlZV1RTE416BhPfn7W1z6DwBqolKvXBV2r3jsscfssYiICM2ZM8f+71OnTikhIUFxcXF67733tH79enXp0sWl2D333FMxawYAgC4WRdnZ2ZKk7Oxs+fr6ymQylTsG5xjkCUBtV+qVK29vb/n5+RWJJSQkKCoqSjExMZKklJQUdenSRdL/uk24GgMAoCKFhYVp27ZtkqT4+HiFhYVdUQwAAGfKPKBF48aNtXbtWn300UeKj49XamqqsrKyinWbcDUGAICRrFar7r//fqWmpmrs2LHKy8uT2WxWVFSUTCaTQkJCFBQUVO4YAADOlHlAC7PZLLPZLEnq1auXDhw4IIvForS0NEn/6zbhagwAACN5eXnZe1YUCg0NLTbf9OnTyx0DAMCRMl+5Kux7LklJSUlq1aqVgoODtX37dkkXu02Ehoa6HAMAAACAmqDUK1dWq1UPPfSQvXvFzTffrA0bNshsNqtz5872Aik8PFyRkZFq1qyZxowZI7PZ7FIMAAAAAGoCD5vNZnN3Es5YrfnKzMxxdxol8ve3lGlkpIyMcxWcEQBUPzVpaO7q0HZVlLK2ia7OWzg/bSiAqsJZu1XmboEAAAAAgOIorgAAAADAABRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgAAAAADUFwBAAAAgAEorgAAAADAABRXAAAAAGAAT3cnAABARbtw4YImTZqkCxcuyMfHR3PnztWcOXOUkpKiDh06aPr06ZKk2bNnuxQDAMARrlwBAGq8zZs3KyQkRLGxsQoJCdF7772nnJwcLV68WFarVbt379aePXtcigEA4AzFFQCgxmvVqpUuXLggScrKypIkRURE2P+fnJys5ORkl2IAADhDcQUAqPFat26t5ORk9evXTykpKfL09JSPj48kyWKxKCsrS+fOnXMpBgCAMxRXAIAab/ny5erdu7e+/PJL9erVS3l5ecrOzpYkZWdny9fXVxaLxaUYAADOUFwBAGo8m80mPz8/SVLDhg0lSdu2bZMkxcfHKywsTGFhYS7FAABwhuIKAFDjDRgwQF999ZWio6O1atUqjRo1SmazWVFRUTKZTAoJCVFQUJBLMQAAnGEodgBAjefr66sFCxYUiTkaVt3VGAAAjnDlCgAAAAAMQHEFAAAAAAaguAIAAAAAA1BcAQAAAIABKK4AAAAAwAAUVwAAAABgAIorAAAAADAAxRUAAAAAGIDiCgAAAAAMUGpxlZ6ersGDBys4OFh5eXmSpNmzZysqKkqzZs2yz3clMQAAAACo7kotrho0aKCYmBiFhYVJkvbs2aOcnBwtXrxYVqtVu3fvvqIYAAAAANQEnqXN4O3tLW9vb/u/k5OTFRERIUmKiIhQcnKyTCZTuWMhISGGrxQAAAAAVLYy33N17tw5+fj4SJIsFouysrKuKAYAAAAANUGpV64uZ7FYlJ2dLUnKzs6Wr6+vTCZTuWMAAAAAUBOU+cpVWFiYtm3bJkmKj49XWFjYFcUAAAAAoCYotbiyWq26//77lZqaqrFjxyovL09ms1lRUVEymUwKCQlRUFBQuWMAAFSGFStWaMyYMYqOjlZ6ejqj3AIADFdqt0AvLy/FxMQUiYWGhhabb/r06eWOAQBQkdLT05WYmKiFCxdKKjry7XPPPafdu3fLZDK5FOPEIADAmTLfcwUAQHWzefNmFRQUaMyYMbr++uvVtm1bRrkFABiuzPdcAQBQ3Zw6dUpWq1ULFy5U3bp1GeUWAFAhKK4AADWej4+Pbr75ZknSLbfcIpvNVmz0Wkej4TqKAQDgDMUVAKDG69Spk/bt2ydJ2rt3rzw8PBjlFgBgOIorAECNd+ONN6pu3bqKjo5WSkqKHnzwQUa5BQAYzsNms9ncnYQzVmu+MjNz3J1Gifz9LVr53RGX5h3Y/TplZJyr4IwAoPrx97e4OwXDVIe2q6KUtU10dd7C+WlDAVQVztotRgusRPkFBWX6AWHNy1fmmdrZQAMAAADVDcVVJTLVqVPms3QAAAAAqgfuuQIAAAAAA1BcAQAAAIABKK4AAAAAwAAUVwAAAABgAIorAAAAADAAxRUAAAAAGIDiCgAAAAAMQHEFAAAAAAaguAIAAAAAA1BcAQAAAIABKK4AAAAAwAAUVwAAAABgAIorAECtERMTo8jISEnS7NmzFRUVpVmzZtmnuxoDAMARiisAQK2Qm5urvXv3SpL27NmjnJwcLV68WFarVbt373Y5BgCAMxRXAIBaYenSpRo0aJAkKTk5WREREZKkiIgIJScnuxwDAMAZiisAQI1ntVqVmJiobt26SZLOnTsnHx8fSZLFYlFWVpbLMbhHfkGB/P0tLv3XoGE9d6cLoJbydHcCAABUtJUrV2rAgAH2f1ssFmVnZ0uSsrOz5evrK5PJ5FIM7mGqU0crvzvi0rwDu19XwdkAgGNcuQIA1HhHjhxRXFycxo4dq4MHD+rMmTPatm2bJCk+Pl5hYWEKCwtzKQYAgDMUVwCAGm/KlClasGCBFixYoOuvv16PPfaYzGazoqKiZDKZFBISoqCgIJdiAAA4Q7dAAECtEhcXJ0maPn16sWmuxgAAcKRcV65OnDihiIgIRUdH68EHH5QkzZ8/X5GRkZo8ebKsVmuZYgAAAABQ3ZW7W2BERIRiY2P1wQcf6NSpU0pISFBcXJwCAwO1fv16l2MAAAAAUBOUu7hKSEhQVFSUYmJilJKSoi5dukj633NAXI0BAAAAQE1QrnuuGjdurLVr18psNmvChAnKzs5Wo0aNJP3vOSBZWVnFng3iKAYAAAAANUG5rlyZzWbVq1dPnp6e6tWrl1q1alXsOSCOniHiKAYAAAAANUG5iqvCAkmSkpKS1Lp1a23fvl3SxeeAhIaGKjg42KUYAAAAANQE5eoWuGPHDs2dO1dms1mdO3dWaGiowsPDFRkZqWbNmmnMmDEym80uxQAAAACgJvCw2Ww2dyfhjNWar8zMHHenUSJ/f4tWfnfEpXkHdr/O5XkL58/IOFfe1ACg2vD3t7g7BcNUh7arolR0m1iW16b9BFCRnLVb5R4tEAAAAADwPxRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgDUeLt27dKIESMUGRmp2bNnS5Lmz5+vyMhITZ48WVartUwxAAAcobgCANR4zZo108KFCxUXF6dTp04pMTFRCQkJiouLU2BgoNavX69Tp065FAMAwBmKKwBAjefv7y9vb29JkpeXlw4cOKAuXbpIkiIiIpScnKyUlBSXYgAAOOPp7gQAAKgsqampOn36tHx9fVWnzsXzixaLRVlZWcrKypKPj0+pMVR9+QUF8ve3uDy/NS9fmWdyKjAjALUFxRUAoFbIzMzUzJkz9Y9//EN79uxRWlqaJCk7O1u+vr6yWCwuxVD1merU0crvjrg8/8Du11VgNgBqE7oFVmGFZ95c+a9Bw3ruThcAqqy8vDxNmTJFU6dOlb+/v4KDg7V9+3ZJUnx8vEJDQ12OAQDgDFeuqrCynHnjrBsAOPfVV1/phx9+0GuvvSZJeuqppxQeHq7IyEg1a9ZMY8aMkdlsdikGAIAzFFcAgBqvf//+6t+/f5FYx44d9fDDDxeJPfzwwy7FAABwhG6BAAAAAGAAiisAAAAAMADFFQAAAAAYgHuuAABArVaW52LxTCwAJaG4AgAAtRqj8wIwCt0CAQAAAMAAFFcAAAAAYACKKwAAAAAwAPdc1RBluRlX4oZcAAAAwGgUVzVEWW7GlbghFwCA8uBkJoCSUFwBAAC4iJOZAErCPVcAAAAAYACuXAEAAFQQHlAM1C4UVwAAABWEBxQDtYtbiqvZs2crJSVFHTp00PTp092RQq3HmTQAcB3tFgDAFZVeXO3Zs0c5OTlavHixnnvuOe3evVshISGVnUatx5k0AHAN7RYqCyMRAtVfpRdXycnJioiIkCRFREQoOTmZRqqK42APoDaj3UJlKetIhP27tXa5fc7PL5DJ5Po4ZrTlQPlUenF17tw5tWzZUpJksVh04MCByk4BZVRVDvY0DADcgXYLVVVZe6FUhba8rPNX5GvzOwEVwcNms9kq8w0XLVqkhg0bqm/fvlq3bp3S0tI0evToykwBAACX0W4BAFxV6c+5CgsL07Zt2yRJ8fHxCgsLq+wUAABwGe0WAMBVlV5cBQUFyWw2KyoqSiaTiX7rAIAqjXYLAOCqSu8WCAAAAAA1UaVfuQIAAACAmojiCgAAAAAMQHEFAAAAAAaguLoCs2fPVlRUlGbNmlUkvn//fkVGRmrEiBFKTU11GnMnZ7k/++yzGjFihCIjI+15zps3T/fee6+io6P14YcfuiPdYpzl//TTT2vYsGGKjo7WqlWrJEnp6ekaPXq0RowYofj4eHekW4Sz3J988klFR0dr+PDhGjhwoKSqt+3T09M1ePBgBQcHKy8vr8i0qr7fl5R7Vd/vS8q9OuzzJeVfHfb7kvznP//Rn//8Z/35z3+2b/+8vDxNmTJFkZGReu+99yokVl05O/5VR7t27bIfN2bPni1Jmj9/viIjIzV58mRZrdYKiVVFMTExioyMlOT4MzY6VtWsWLFCY8aMUXR0tNLT02vdNrhw4YIefvhhRUdH69FHH1Vubm6t2waXorgqpz179ignJ0eLFy+W1WrV7t277dPmzp2rN954Q3PnztXcuXOdxtylpNwfeughLVmyRH//+9/19ttv2+NPP/20YmNj9cADD7gj5SJKyl+S5syZo9jYWA0YMECS9P7772vSpElasGCB3nnnHXekbFdS7m+++aZiY2M1btw49erVyx6vStu+QYMGiomJcTgUdVXf70vKvarv9yXlLlXtfV4qOf/qsN+XpHv37vrkk0+0aNEieyG4YcMGtW3bVnFxcdqxY4cyMjIMj1VHpR27q5tmzZpp4cKFiouL06lTp5SYmKiEhATFxcUpMDBQ69ev16lTpwyNVUW5ubnau3evJMefsdGxqiY9PV2JiYlauHChYmNj9dtvv9W6bbB582aFhIQoNjZWISEheu+992rdNrgUxVU5JScnKyIiQpIUERGh5ORk+7SsrCw1bdpUTZo00blz55zG3KWk3Fu2bClJ8vT0VJ06/9s95syZo/vvv99+AHWnkvL38PDQ1KlT9cgjj+jnn3+WJO3bt0+dOnVS/fr1Vb9+fWVnZ7sjbUkl517ov//9r+666y77v6vStvf29pafn5/DaVV9vy8p96q+35eUe1Xf56WS8y9Ulff7krRo0ULSxX3HZDJJuvg97969uySpa9eu2r17t+Gx6siV41914u/vL29vb0mSl5eXDhw4oC5dukj63/qlpKQYGquKli5dqkGDBkly/BkbHatqNm/erIKCAo0ZM0YzZ86sldugVatWunDhgqSL7b6kWrcNLkVxVU7nzp2Tj4+PJMlisdh3JkkqKCiw/1040r2jmLuUlHuhN954Q9HR0ZKk6OhoffbZZ3r++ec1c+bMSs3VkZLynzp1qpYsWaJx48bplVdekXRx23t4eEiSfHx8HK5vZSlt21utVu3fv19BQUGSqt62L0lV3+9dUZX3e2eq+j7viuq83xeKi4vTHXfcIeni97x+/fqSLn7Pz507Z3isOnKl7amOUlNTdfr0afn6+hZbv6ysLENjVY3ValViYqK6desmyfFnbHSsqjl16pSsVqsWLlyounXr1spt0Lp1ayUnJ6tfv35KSUmRp6dnrdsGl6K4KieLxWI/G5ydnS1fX1/7tMIfNZLsZ8EdxdylpNyli32n27Vrp/DwcEkXu/RIUps2bSozTadKyr8w1/DwcHvXmUu3t6P1rUylbfvExET7mUqp6m37klT1/b40VX2/d6aq7/OuqA77fUZGhqKjo4v89+STT0q6eO/Nt99+q4ceekjSxYL2/Pnzki5uf4vFYnisOirt+FcdZWZmaubMmXrppZccrp/Rsapm5cqV9u7IkuPPuKZvAx8fH918882SpFtuuUU2m63WbYPly5erd+/e+vLLL9WrVy/l5eXVum1wqar9a6cKCwsL07Zt2yRJ8fHxRe4l8PPzU1pamtLT0+1nGx3F3KWk3Lds2aKdO3dqwoQJ9ljhDn369Gnl5+dXaq6OlJR/Ya6HDx+2f/kCAwO1c+dO5eTk6Pz58/azH+5QUu7Sxa5Rd955p/3fVW3bl6Sq7/clqQ77vTNVfZ93RXXY7/39/RUbG1vkvzfffFPp6el6+eWX9fLLL9u7BXbs2FFbt26VJCUkJCg4ONjwWHVU2vGvuikcaGTq1Kny9/dXcHCwtm/fLuni+oWGhhoeq2qOHDmiuLg4jR07VgcPHtSZM2eKfcaOPvcriVU1nTp10r59+yRJe/fulYeHR63bBjabzd71u2HDhpJU67bBpSiuyikoKEhms1lRUVEymUxq2rSp/cbxxx9/XE888YQmTZqkSZMmOY25S0m5z5w5UydOnNDo0aP17LPPSpJeffVVjRgxQo8++qgmT57sztQllZz/X//6V0VGRmr69On2XMeNG6c333xTDzzwgMaPH+/O1EvM3WazKTk5WZ07d7bPX9W2vdVq1f3336/U1FSNHTtWiYmJ1Wa/Lyn3qr7fl5R7Vd/npZLzrw77fUnefvttnTp1So8//riio6P1+++/q3fv3vaRMsPCwtS4cWPDY9XR5ce/kJAQd6d0Rb766iv98MMPeu211xQdHa3jx48rPDzcPuponz591KhRI0NjVc2UKVO0YMECLViwQNdff70ee+yxYp+xo8/9SmJVzY033qi6desqOjpaKSkpevDBB2vdNhgwYIC++uor+6i1o0aNqnXb4FIetupwIwQAAAAAVHFcuQIAAAAAA1BcAQAAAIABKK4AAAAAwAAUVwAAAABgAIorAEC5TZs2Td26dVP//v1dmn/16tXq27ev+vXrV+VHAgQAoKw83Z0AAKD6GjJkiEaNGqWpU6eWOu/Ro0f13nvvKS4uTn5+fjp16lQlZAgAQOXhyhUAoNxuvvlm+8MjCx0/flxjx47VkCFDFBUVpUOHDkmSPvnkE40cOdI+f6NGjSo9XwAAKhJXrgAAhpoxY4ZeeOEFtWnTRrt27dILL7ygjz76SEePHpUkjRgxQgUFBXrsscfUs2dP9yYLAICBKK4AAIY5f/68du7cqUmTJtljubm5kqT8/HwdO3ZMsbGxSktL06hRo7Rq1Sr5+vq6K10AAAxFcQUAMIzNZpOvr69WrlxZbFqTJk0UGhoqLy8vtWzZUm3atNHRo0cVEhLihkwBADAe91wBAAzj4+OjFi1aaM2aNZIuFlupqamSpD59+igxMVGSdPr0aR09elQtW7Z0W64AABjNw2az2dydBACgenrqqaeUmJioM2fOqFGjRnr88cd1yy236Pnnn1dGRoby8vLUt29fPfbYY7LZbHr55Ze1efNmmUwmPfLII+rXr5+7VwEAAMNQXAEAAACAAegWCAAAAAAGoLgCAAAAAANQXAEAAACAASiuAAAAAMAAFFcAAAAAYACKKwAAAAAwAMUVAAAAABiA4goAAAAADEBxBQAAAAAGoLgCAAAAAANQXAEAAACAASiuAAAAAMAAFFcAAAAAYACKK8AAgYGBOnbsmMNpn332mSIjIys5IwAAnKPdAioGxRVQDeTm5mratGnq1KmTunfvrg8//NA+7cSJEwoMDFTHjh3t/7399tuGLAsAQHlUVLt1qbfeekuBgYGKj4+v8PUBXOXp7gQAlG7evHk6duyYNm7cqN9++02jR49Wu3bt1LNnT/s827dvl6dn8a/0lSwLAEB5VHS7dfz4ca1du1b+/v6Vsj6Aq7hyBVzmvffe06233qqOHTvq7rvv1tatW7V7924NHz5c4eHh6tGjh1588UXl5uY6XP7MmTN65JFH1KlTJ9133306fvx4kelJSUkaOnSoOnfurKFDhyopKanUnJYvX64JEybIz89P7dq107Bhw7R8+XKX1udKlgUAVH21sd164YUX9Ne//lVms9ml1wQqC8UVcInDhw9r0aJF+vTTT7Vz504tWLBAzZs3V506dTRt2jRt27ZNS5Ys0datW7V48WKHr/Hiiy/K29tbW7Zs0ezZs7Vs2TL7tMzMTI0fP17R0dFKSEjQAw88oPHjx+vMmTNOczp79qwyMjLUvn17e6x9+/Y6ePBgkfl69+6tnj17atq0aTp9+vQVLwsAqPpqY7u1Zs0amc1m3XbbbWXbWEAloLgCLmEymZSbm6tDhw7JarWqRYsWatWqlW666SaFhYXJ09NTLVq00PDhw7V9+/Ziy+fn52vdunWaOHGi6tWrp4CAAA0ePNg+fdOmTWrdurUGDRokT09P9e/fX23bttXGjRud5pSTkyNJslgs9pjFYtH58+clSQ0bNtSnn36qjRs36rPPPtP58+c1ZcqUK14WAFD11bZ2Kzs7W2+++ab+7//+r7ybDKhQ3GQBXKJ169Z65plnNG/ePB08eFA9evTQ008/rZycHL388stKSUnRhQsXlJ+fr6CgoGLLnz59Wnl5eWratKk91qxZM/vfJ0+eLPLvwunp6elOc6pXr56kiw2Kt7e3/e/69etLkurXr6/g4GBJ0jXXXKMZM2aoR48eys7OvqJlfXx8yrDlAADuUNvarbfeekv33nuvWrRoUbYNBVQSrlwBlxkwYIDi4uK0ceNGeXh4aM6cOXr++efVtm1brV27VklJSXryySdls9mKLXv11VfL09NTv/76qz126d+NGzfWL7/8UmSZX3/9VU2aNHGaj5+fn/z9/ZWammqPpaam6vrrr3c4v4eHhyTJZrNd0bIAgOqhNrVbW7duVWxsrLp3767u3bvr119/1RNPPKH33nuvpE0EVBqKK+AShw8f1tatW5Wbmyuz2Sxvb2/VqVNH58+fV/369VW/fn0dOnRIcXFxDpc3mUy688479dZbb+nChQs6ePBgkZtwb7vtNh09elSrVq1SXl6eVq9erYMHD6pXr14l5jVo0CC98847Onv2rA4dOqSlS5fau23s2rVLhw8fVkFBgc6cOaNZs2apS5cu9i4VV7IsAKBqq23tVkxMjL744gutWLFCK1asUOPGjfXCCy9o5MiRBmxN4MpRXAGXyM3N1euvv66uXbuqR48eOn36tJ566ilNnTpVX3zxhTp16qQZM2aob9++Tl/j2WefVU5Ojrp3766nn35aQ4YMsU9r2LCh/v3vf+vDDz9U165dNX/+fP373//W1VdfXWJeEydOVMuWLdW7d29FR0dr7Nix9iFpf/rpJ40bN06dOnXSgAEDZDab9cYbbxiyLACgaqtt7VbDhg3l7+9v/89kMsnPz8/ebRBwNw8b/X8AAAAA4Ipx5QoAAAAADMBogUAV0bFjR4fx999/X+Hh4ZWcDQAAJaPdAoqjWyAAAAAAGKBKX7kqKChQfj61HwDUdF5eJnenYBjaLgCo+Zy1W1W6uMrPtykzM8fdaQAAKpi/f80Z/p+2CwBqPmftFgNaAAAAAIABKK4AAAAAwAAUVwAAAABgAIorAAAAADBAlR7Qojpo0LCevDxdG+XKmpevzDPc5AwAQFVCWw7AKBRXV8jL06SV3x1xad6B3a+r4GwAAEBZiqVCtOUAjEBxBQAAapSynPiUKJgAGKfUe67S09M1ePBgBQcHKy8vTydOnFBERISio6P14IMP2uebP3++IiMjNXnyZFmt1jLFAAAAAKC6K7W4atCggWJiYhQWFmaPRUREKDY2Vh988IEk6dSpU0pISFBcXJwCAwO1fv16l2MAAAAAUBOUWlx5e3vLz8+vSCwhIUFRUVGKiYmRJKWkpKhLly6SLhZeycnJLscAAAAAoCYo8z1XjRs31tq1a2U2mzVhwgTdcsstysrKko+PjyTJYrEoKyvL5RgAAAAA1ARlfs6V2WxWvXr15OnpqV69eunAgQOyWCzKzs6WJGVnZ8vX19flGAAAAADUBGUurgqLI0lKSkpSq1atFBwcrO3bt0uS4uPjFRoa6nIMAAAAAGqCUrsFWq1WPfTQQ0pNTdXYsWN18803a8OGDTKbzercubO9QAoPD1dkZKSaNWumMWPGyGw2uxQDAAAAgJrAw2az2dydhDNWa74yM6v2U9D9/S1levBgRsa5Cs4IAKoff3+Lu1MwTHVou2q6srTN0sX2mbYcQFk4a7fK3C0QAAAAAFAcxRUAoEZJT0/X4MGDFRwcrLy8PEnS7NmzFRUVpVmzZtnnu5IYAACOUFwBAGqUBg0aKCYmRmFhYZKkPXv2KCcnR4sXL5bVatXu3buvKAYAgDNlfs4VAABVmbe3t7y9ve3/Tk5OVkREhKT/PcDeZDKVOxYSElLJawQAqC64cgUAqNHOnTtX7AH2VxIDAMAZrlwBAGo0Rw+wN5lM5Y4BAOAMV64AADVaWFiYtm3bJuniA+zDwsKuKAYAgDMUVwCAGsVqter+++9Xamqqxo4dq7y8PJnNZkVFRclkMikkJERBQUHljgEA4AwPEb5CPEQYAK4cDxGGkXiIMICKxkOEAQAAAKACUVwBAAAAgAEorgAAAADAABRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgAAAAADUFwBAAAAgAEorgAAAADAABRXAAAAAGAAiisAAAAAMADFFQAAAAAYgOIKAAAAAAxAcQUAAAAABqC4AgAAAAADUFwBAGq8b7/9VtHR0YqOjlaPHj20fv16de7c2R7LzMyUJH3++ecaMWKExo8fr+zsbKcxAAAc8XR3AgAAVLSePXuqZ8+ekqRhw4apW7duCggIUGxsrH0eq9WqJUuW6OOPP9a6deu0ZMkSjRkzplhs3Lhx7loNAEAVx5UrAECt8dNPP6lRo0aqX7++Dh8+rKioKM2ZM0c2m03Hjh1TQECAPD091a1bNyUnJzuMAQDgTKnFVXp6ugYPHqzg4GDl5eVJkmbPnq2oqCjNmjXLPt+VxAAAqAzr1q3TnXfeKUlau3atFi1apKysLG3YsEFZWVny8fGRJFksFmVlZTmMAQDgTKnFVYMGDRQTE6OwsDBJ0p49e5STk6PFixfLarVq9+7dVxQDAKCybNy4Ubfffruki+2bh4eH7rjjDh04cEAWi8V+T1V2drZ8fX0dxgAAcKbUe668vb3l7e1t/3dycrIiIiIkSREREUpOTpbJZCp3LCQkxPCVAgDgchkZGfLy8lLDhg2Vk5Mjb29vmUwmJSUlKTAwUG3atNGBAweUn5+v+Ph4hYaGOowBAOBMme+5OnfuXLEuElcSAwCgMnz99de64447JEnHjh3Tfffdp5EjRyotLU133323vLy8NGzYMI0cOVIrVqzQiBEjHMYAAHCmzKMFOuoiYTKZyh0DAKAyXFoY3XjjjVq+fHmxeQYNGqRBgwaVGgMAwJEyX7kKCwvTtm3bJEnx8fEKCwu7ohgAAAAA1ASlFldWq1X333+/UlNTNXbsWOXl5clsNisqKkomk0khISEKCgoqdwwAAAAAagIPm81mc3cSzlit+crMzHF3GiXy97do5XdHXJp3YPfrlJFxroIzAoDqx9/f4u4UDFMd2q6arixts3SxfaYtB1AWztotHiIMAAAAAAaguAIAAAAAA1BcAQAAAIABKK4AAAAAwAAUVwAAAABgAIorAAAAADAAxRUAAAAAGIDiCgAAAAAMQHEFAAAAAAaguAIAAAAAA1BcAQAAAIABKK4AAAAAwAAUVwAAAABgAIorAAAAADAAxRUAAAAAGIDiCgBQ4504cUIRERGKjo7Wgw8+KEmaP3++IiMjNXnyZFmt1jLFAABwhOIKAFArREREKDY2Vh988IFOnTqlhIQExcXFKTAwUOvXr3c5BgCAMxRXAIBaISEhQVFRUYqJiVFKSoq6dOki6WLRlZyc7HIMAABnPN2dQG2SX1Agf3+Ly/Nb8/KVeSanAjMCgNqhcePGWrt2rcxmsyZMmKDs7Gw1atRIkmSxWJSVlaWsrCz5+PiUGgMAwBmKq0pkqlNHK7874vL8A7tfV4HZAEDtYTabZTabJUm9evWSj4+P0tPTJUnZ2dny9fWVxWJRWlpaqTEAAJyhWyAAoMbLzs62/52UlKTWrVtr+/btkqT4+HiFhoYqODjYpRgAAM5w5QoAUOPt2LFDc+fOldlsVufOnRUaGqrw8HBFRkaqWbNmGjNmjMxms0sxAACc8bDZbDZ3J+GM1ZqvzMyqfc+Rv7/F5a5+A7tfV+ZugRkZ58qbGgBUG2W5H7Wqqw5tV01XlrZZKlv7TNsMQHLebtEtEAAAAAAMQHEFAAAAAAaguAIAAAAAA1BcAQAAAIABKK4AAAAAwAAUVwAAAABggHIVVydOnFBERISio6P14IMPSpLmz5+vyMhITZ48WVartUwxAAAAAKjuyn3lKiIiQrGxsfrggw906tQpJSQkKC4uToGBgVq/fr3LMQAAAACoCcpdXCUkJCgqKkoxMTFKSUlRly5dJF0supKTk12OAQAAAEBN4FmehRo3bqy1a9fKbDZrwoQJys7OVqNGjSRJFotFWVlZysrKko+PT6kxAAAAAKgJynXlymw2q169evL09FSvXr3UqlUrZWdnS5Kys7Pl6+sri8XiUgwAAAAAaoJyFVeFBZIkJSUlqXXr1tq+fbskKT4+XqGhoQoODnYpBgAAAAA1Qbm6Be7YsUNz586V2WxW586dFRoaqvDwcEVGRqpZs2YaM2aMzGazSzEAAIDqIr+gQP7+Fpfnt+blK/NMTgVmBKAq8bDZbDZ3J+GM1ZqvzMyqfUDy97do5XdHXJp3YPfrXJ63cP6MjHPlTQ0Aqo2y/Fit6qpD21XTlaVtlsrWPtOWA5Cct1s8RBgAAAAADEBxBQAAAAAGoLgCAAAAAANQXAEAarxdu3ZpxIgRioyM1OzZsyVJnTt3VnR0tKKjo5WZmSlJ+vzzzzVixAiNHz/ePjKuoxgAAI5QXAEAarxmzZpp4cKFiouL06lTp7Rv3z4FBAQoNjZWsbGxatCggaxWq5YsWaKPP/5YAwcO1JIlSxzGAABwhuIKAFDj+fv7y9vbW5Lk5eUlk8mkw4cPKyoqSnPmzJHNZtOxY8cUEBAgT09PdevWTcnJyQ5jAAA4Q3EFAKg1UlNTdfr0aV1//fVau3atFi1apKysLG3YsEFZWVny8fGRJFksFmVlZTmMAQDgDMUVAKBWyMzM1MyZM/XSSy9Jkho0aCAPDw/dcccdOnDggCwWi/2equzsbPn6+jqMAQDgDMUVAKDGy8vL05QpUzR16lT5+/srJydH+fn5kqSkpCS1atVKbdq00YEDB5Sfn6/4+HiFhoY6jAEA4IynuxMAAKCiffXVV/rhhx/02muvSZKeeuopvfjii6pXr55atGihiRMnymQyadiwYRo5cqR8fX31+uuvy8vLq1gMAABnKK4AADVe//791b9//yKx5cuXF5tv0KBBGjRoUKkxAAAcoVsgAAAAABiAK1dVWH5Bgfz9LS7Na83LV+aZnArOCAAAAIAzFFdVmKlOHa387ohL8w7sfl0FZwMAAACgJBRXAAAAFYReKEDtQnEFAABQQeiFAtQuDGgBAAAAAAaguAIAAAAAA1BcAQAAAIABKK4AAAAAwAAMaFFDlGU0IokRiQAAAACjUVzVEGUZjUhiRCIAAADAaBRXAAAAVQC9UIDqj+IKAACgCqAXClD9UVzVUjwxHgAAADAWxVUtxRPjAQAAAGNRXAEAAFRD9EIBqh6KK5SKG2wBAKh66IUCVD1uKa5mz56tlJQUdejQQdOnT3dHCigDbrAFUNvRbgEAXFHpxdWePXuUk5OjxYsX67nnntPu3bsVEhJS2WmgAtFNAUBNQruFmoBeKEDlqPTiKjk5WREREZKkiIgIJScn00jVMGW50tW/W2sKMQBVGu0WaoKy9kKhfQbKp9KLq3Pnzqlly5aSJIvFogMHDlR2CqhCKqoQk6T8/AKZTHUMn7es89PoANUb7RZqo+raPtPmwt08bDabrTLfcNGiRWrYsKH69u2rdevWKS0tTaNHj67MFAAAcBntFgDAVa6fCjBIWFiYtm3bJkmKj49XWFhYZacAAIDLaLcAAK6q9OIqKChIZrNZUVFRMplM9FsHAFRptFsAAFdVerdAAAAAAKiJKv3KFQAAAADURBRXAAAAAGAAiisAAAAAMADFlYFmz56tqKgozZo1y92pGG7Xrl0aMWKEIiMjNXv2bEnS/PnzFRkZqcmTJ8tqtVZIrKqLiYlRZGSkJMefv9Gxqm7FihUaM2aMoqOjlZ6eXqu3yYULF/Twww8rOjpajz76qHJzc2v19qgNsrOz9cgjj2jEiBFasWKFw3n27NmjwMBA5eXlVW5y5VTSOmVnZ2vMmDEaOXKkxo8fr+zsbPck6SJn35f9+/crMjJSI0aMUGpqqpuyKx9n6/Tss8/a2+yask6S9Pvvv6t79+6Kj493Q2bl52ydMjMzNWnSJI0ePVrvvPOOm7IrH2frtGbNGt13330aNmyY1q9f76bsyi49PV2DBw9WcHBwseNzWY8RFFcG2bNnj3JycrR48WJZrVbt3r3b3SkZqlmzZlq4cKHi4uJ06tQpJSYmKiEhQXFxcQoMDNT69et16tQpQ2NVXW5urvbu3SvJ8edvdKyqS09PV2JiohYuXKjY2Fj99ttvtXqbbN68WSEhIYqNjVVISIjee++9Wr09aoOlS5eqb9++WrRokZYuXarc3Nxi8yxevFhBQUFuyK58SlonLy8vvfbaa1q0aJHuuOMOLV++3I2Zlqyk78vcuXP1xhtvaO7cuZo7d64bsyybktbpoYce0pIlS/T3v/9db7/9thuzLJvSjmtLly5VQECAm7Irn5LW6a233tLEiRP10Ucf6dFHH3VjlmVT0joV/gaIjY1VTEyM+5IsowYNGigmJsbhozbKeoyguDJIcnKyIiIiJEkRERFKTk52b0IG8/f3l7e3t6SLDeqBAwfUpUsXSf9b35SUFENjVd3SpUs1aNAgSY4/f6NjVd3mzZtVUFCgMWPGaObMmbV+m7Rq1UoXLlyQJGVlZUlSrd4etUFycrK6d+8uk8mk9u3b6/Dhw0WmHzhwQNdee63q16/vpgzLrqR18vb2VuPGjSVJnp6eqlOn6v6kKOn7kpWVpaZNm6pJkyY6d+6cmzIsu5LWqWXLlpKq/udyuZLWKTc3V8nJyerUqZObsiufktbpwIEDevfddxUdHa2dO3e6KcOyK23fu3DhgnJycuTj4+OmDMvO29tbfn5+DqeV9RhRfb5xVdy5c+fsO5HFYrH/mKppUlNTdfr0afn6+hZb36ysLENjVZnValViYqK6desmyfHnb3Ssqjt16pSsVqsWLlyounXr1vpt0rp1ayUnJ6tfv35KSUmRp6dnrd4etcGln4mPj0+xRnjhwoUaOXKkO1Irt9LWSZLOnz+v//znPxowYEBlp+eykr4vBQUF9r+r09NpXDkGvPHGG4qOjq7s1MqtpHVavny57r33XnelVm4lrdPOnTs1fvx4vfnmm3r11VfdlWKZlbROd955pwYNGqSBAwdq1KhR7krRUGU9RnhWZDK1icVisfc3z87Olq+vr5szMl5mZqZmzpypf/zjH9qzZ4/S0tIk/W9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\n",
       "text/plain": [
        "<Figure size 864x576 with 6 Axes>"
       ]
@@ -3619,21 +4358,27 @@
     "_ = df[[col for col in df if col.startswith('saldo_')]].hist(bins=30, color='lightsteelblue', edgecolor='white', linewidth=1.0,\n",
     "           xlabelsize=8, ylabelsize=8, grid=False, ax=ax)    \n",
     "ax.ticklabel_format(useOffset=False, style='plain', axis='both')\n",
+    "plt.ticklabel_format(style='plain', axis='x',useOffset=False)\n",
     "plt.suptitle('Distribuição dos valor de fechamento da fatura', fontsize=22)\n",
     "plt.tight_layout()   "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 46,
    "id": "b4fd2827-b6a9-4dd1-a93b-834cc30f1d1e",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_2296/2318820311.py:3: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.\n",
+      "/tmp/ipykernel_2762/1498778660.py:3: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.\n",
       "  _ = df[[col for col in df if col.startswith('pago_')]].hist(bins=30, color='lightsteelblue', edgecolor='white', linewidth=1.0,\n"
      ]
     },
@@ -3654,6 +4399,7 @@
     "_ = df[[col for col in df if col.startswith('pago_')]].hist(bins=30, color='lightsteelblue', edgecolor='white', linewidth=1.0,\n",
     "           xlabelsize=8, ylabelsize=8, grid=False, ax=ax)    \n",
     "ax.ticklabel_format(useOffset=False, style='plain', axis='both')\n",
+    "plt.ticklabel_format(style='plain', axis='x',useOffset=False)\n",
     "plt.suptitle('Distribuição do valor pago no mês anterior', fontsize=22)\n",
     "plt.tight_layout()   "
    ]
@@ -3677,9 +4423,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 47,
    "id": "67331bd4-d727-4a04-99ab-e091702f7af2",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "predito = 'mau'\n",
@@ -3688,7 +4439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 48,
    "id": "e0e2a701-f530-4f40-8649-f630578c1026",
    "metadata": {
     "jupyter": {
@@ -3716,9 +4467,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 49,
    "id": "b8c88731-bb0b-4df8-803e-ff26e195cfa8",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3868,7 +4624,7 @@
        "22     pago_0504"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3888,13 +4644,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 53,
    "id": "416061eb-4a68-4183-8055-bf2c1c3ec37e",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x576 with 1 Axes>"
       ]
@@ -3911,7 +4672,7 @@
     "for p in ax.patches:\n",
     "    valores = \"{0}\\n{1:.2f}%\".format(f'{p.get_height():_.2f}'.replace('.',',').replace('_','.')[:-3],100 * p.get_height()/total)\n",
     "    x = p.get_x() + p.get_width()/2\n",
-    "    y = p.get_height() + 100\n",
+    "    y = p.get_height()/2\n",
     "    ax.annotate(valores, (x, y),ha='center')\n",
     "plt.suptitle('Distribuição do Predito', fontsize=22)\n",
     "plt.ylabel('Quantidade', size=14)\n",
@@ -3921,7 +4682,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 51,
    "id": "4e0b5134-9498-4475-ac1a-10c35ee03bdb",
    "metadata": {
     "jupyter": {
@@ -3957,7 +4718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 52,
    "id": "8761b7a8-abb8-48b7-b9bd-66fe514fb53f",
    "metadata": {},
    "outputs": [],
@@ -3988,94 +4749,6 @@
     " * A faixa etária com mais cartões é entre 25 e 35 anos.\n",
     " * Temos uma maior quantodade de pequenos limites distribuidos, quanto maior o limite menos concessões foram feitas."
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fc9b9852-a267-46e2-8a4f-b2575f7147d5",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a7c73bce-02a2-4436-bcb5-c6ba87de1f09",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ebe0ebf0-5784-4f50-b182-321aef516199",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "569473cb-8c57-4960-9880-d9f9a9f1ade4",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "821a3102-0456-42f2-a49e-561ab26ae102",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "13697f95-2bd7-4491-99d6-3d3c2cf7641c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "52f2b50c-8163-4ceb-b9e5-55e23dfb6d5a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b0ac4a17-2f69-46c5-970b-f79e515fd8f0",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d066856b-fa2b-46f7-8b2a-442e8cbd42be",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c4a1c1f5-1dad-4df5-8782-1ffd9fce8ca8",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5224e335-8c5a-47b7-8861-47c2447d61d3",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {