diff --git a/doc_source/notebooks/Matisse/Matisse_ECT.ipynb b/doc_source/notebooks/Matisse/Matisse_ECT.ipynb
index 7db4d29..5b66a5e 100644
--- a/doc_source/notebooks/Matisse/Matisse_ECT.ipynb
+++ b/doc_source/notebooks/Matisse/Matisse_ECT.ipynb
@@ -95,7 +95,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -139,7 +139,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -169,7 +169,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -255,7 +255,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x303d56d40>"
+       "<matplotlib.image.AxesImage at 0x3199f6190>"
       ]
      },
      "execution_count": 8,
@@ -264,7 +264,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "id": "551aa2fd",
    "metadata": {},
    "outputs": [
@@ -315,15 +315,15 @@
        "Text(0.5, 1.0, \"MDS of Matisse's Leaves via ECT distances\")"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -335,7 +335,7 @@
     "col_df = pd.read_csv(\"doc_source/notebooks/Matisse/colors.csv\", header=None) \n",
     "\n",
     "scale_val = 6 # set scale value\n",
-    "plt.figure(figsize=(8,8)) # set figure dimensions\n",
+    "plt.figure(figsize=(5,5)) # set figure dimensions\n",
     "\n",
     "for i in range(len(file_names)): # for each leaf\n",
     "    shape = np.loadtxt(data_dir+file_names[i]) # get the current shape\n",
@@ -347,7 +347,8 @@
     "    plt.fill(trans_sh[:,0], trans_sh[:,1], c=col_df[0][i], lw=0) # plot shape\n",
     "    plt.gca().set_aspect(\"equal\")\n",
     "\n",
-    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")"
+    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")\n",
+    "# plt.savefig(\"Matisse_MDS.png\", bbox_inches = 'tight', dpi=300) "
    ]
   },
   {
@@ -377,7 +378,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/doc_source/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb b/doc_source/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
index f748910..c19d638 100644
--- a/doc_source/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
+++ b/doc_source/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -37,7 +37,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -64,7 +64,7 @@
     "\n",
     "K.add_face(['A', 'B', 'C', 'D'])\n",
     "\n",
-    "K.set_centered_coordinates(type = 'min_max')\n",
+    "K.set_centered_coordinates()\n",
     "K.plot()"
    ]
   },
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -86,7 +86,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -102,7 +102,7 @@
     }
    ],
    "source": [
-    "K = create_example_cw()\n",
+    "K = create_example_cw(centered = True)\n",
     "K.plot(bounding_circle=True)"
    ]
   },
@@ -115,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -124,7 +124,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +223,7 @@
        "       -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1])"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -242,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -269,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -284,7 +284,7 @@
        "       [ 0.,  0.,  0., ..., -1., -1., -1.]])"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -338,7 +338,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
diff --git a/doc_source/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb b/doc_source/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
index 8c284b7..0ba510f 100644
--- a/doc_source/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
+++ b/doc_source/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -42,13 +42,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAU4AAAGdCAYAAAB9+ZroAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAArlUlEQVR4nO3de3BT95028OdIsgWSL8QyIjhI3GyTYOyUJtRgSqkJoYUQGtKm0A1d0lx2sws0gaZvAu9OIZnUprO8m2aXvkxIW1IgGffttm48bUOAjbmkFGrIpjhOFtvhIjcBu5YTS5ZBRtJ5/yAyNtbtSOfocs7zmdFM8Ll9xTgPv+/5nYsgiqIIIiKKmS7VBRARZRoGJxGRRAxOIiKJGJxERBIxOImIJGJwEhFJxOAkIpKIwUlEJJEh2QcMBAL4+OOPkZubC0EQkn14IqKQRFGE2+1GUVERdLrIY8qkB+fHH38Mm82W7MMSEcWko6MDEyZMiLhO0oMzNzcXwLXi8vLykn14IqKQXC4XbDbbYEZFkvTgDLbneXl5DE4iSjuxnELk5BARkUQMTiIiiRicREQSMTiJiCRicBIRScTgJCKSiMFJRCQRg5OISCIGJxGRRAxOIiKJGJxERBIxOImIJGJwEhFJxOAkIpKIwUlEJBGDk4hIoqQ/yJiISAqP14fzTg8GfAFkG3SYZDHDbExtdDE4iSjttHW68eoJBxrPdMHR0w9xyDIBgL3AhOppVjxYaUfJuOivupCbIIqiGH01+bhcLuTn56O3t5evziCiYTp6+rGpvhlH27uh1wnwB8LHU3D5vOJC1Cwvh63AlNCxpWQTz3ESUVqoa3Jg4QuHceysEwAihubQ5cfOOrHwhcOoa3IoXmMQW3UiSrntjW3Ytr81rm39ARH+gIhnftOM7j4v1laXyFzdSBxxElFK1TU54g7NG23b34pfJmHkyREnEaVMR08/Nje0RFxnoOscXE2v44qjGf6+Hgg6PbIKboHptnnIuf0r0I8ePjn0g4YWVE0tTPicZyQMTiJKmU31zfBFOJfpfncfevbvQFbBLcivvB9ZFhvEgB8Dl9rQ999vwPvR/8D69X8Zto0vIGJTfTP2PFKpWN0MTiJKibZON462d4dd7v3oA/S8+X8xavJMWO//FwiGrMFloyfPRN4XluPy2XdGbOcPiDja3o32LjeKrcpcqiTpHOekSZMgCMKIz5o1axQpjojU69UTDuh1Qtjlvcf+HyAIsHx17bDQDBL0WTCVhB5V6nUC9h5X7lynpOBsamrCxYsXBz8HDhwAADzwwAOKFEdE6tV4pivsJUdiwI8rjtPIvrkYhryxkvftD4hobO1KtMSwJLXqY8cO/wJbt27F1KlTMX/+fFmLIiJ16/P64OjpD7s8cNkF8aoXhvxxcR/D4eyHx+tT5PbMuC9HGhgYwN69e/Hwww9DEMIPt71eL1wu17APEWnbBacHSt+yKAI47/Qosu+4g/O3v/0tPv30Uzz00EMR16utrUV+fv7gx2azxXtIIlKJAV8g4nLd6DwIWUb4ejsVPU684g7On/3sZ1i8eDGKiooirrdx40b09vYOfjo6OuI9JBGpRLYhcvQIOj1GTbwdA5fa4XOFn3lP9DjximuvFy5cwMGDB/Hoo49GXddoNCIvL2/Yh4i0bZLFjPAn+K7Jn/MAIIpw7vsPiP6rI5aLfh/6206E3V747DhKiOus6a5du2C1WnHPPffIXQ8RaYDZaIC9wIQLESaIjLfchoKv/DN69u/AxVeeRO7MJcgqtF+7AL7zQ/S9uw9ZhRPDXpJkt5gUe26n5L0GAgHs2rULq1evhsHA6+eJSDq3243cPgfEwE0QdPqw6+V+7qswji+Fq+l19B7/T/g9n0DQGZBVcAvM07+M3DuWhtxOrxNQXWpVqnzpwXnw4EE4HA48/PDDStRDRCrmdrvxk5/8BNu2bcPlrHyMfejfo26TPW4KCpeul3Qcf0DEqtn2eMuMSvI5zkWLFkEURZSWlipRDxGpkNvtxtatWzF58mRs3rwZK1aswP/8+RDmFRdGvHsoHnqdgHnFhYrdbgnwsXJEpKBQgdne3o6f/OQnsNlsqFleDoPMwWnQCahZXi7rPm/E4CQi2UULzCBbgQnPLiuT9djPLStT9JFyAJ+OREQyGnoO0+1249FHH8UzzzwT8caXlbPs+Jvbi/9zoBWiKEa8EzGa7y+ahhWzlDu3GcTgJKKExROYQ5nPH4XzD7/EzUu/iwAiv6TtRnqdAINOwHPLypISmgBbdSJKQKwteSQdHR1Yv349vvH5Irz1vWpUTbEAQNRJo+DyqikWHFw/P2mhCfD1wEQUh0RHmEGiKGLJkiVobm7Ge++9hzFjxgAY8l711i44nCHeq24xobrUilWz7bLNnkvJJrbqRBQzuQIzaNeuXdi3bx9+//vfD4YmAJSMy8WWZWXYgjJ4vD6cd3ow4Asg26DDJItZsTuCYsXgJKKo5A5M4HqL/tBDD2HJkiVh1zMbDSgryo/7OEpgcBJRWEoEJnCtRf+Hf/gH5Obm4oUXXpCp2uRhcBLRCEoFZlC4Fj1TMDiJaJDSgQnE3qKnMwYnESUlMIHMb9GDGJxEGpaswAzK9BY9iMFJpEHJDkxAHS16EIOTSENSEZiAelr0IAYnkQakKjCD1NKiBzE4iVQs1YEJqKtFD2JwEqlQOgQmoL4WPYjBSaQi6RKYQWpr0YMYnEQqkG6BCaizRQ9icBJlsHQMTEC9LXoQg5MoA6VrYAaptUUPYnASZZB0D0xA3S16EIOTKANkQmAC6m/RgxicRGksUwIzSO0tehCDkygNZVpgAtpo0YMYnERpJBMDE9BOix7E4CRKA5kamEFaadGDGJxEKZTpgQloq0UPYnASpYAaAhPQXosexOAkSiK1BGaQ1lr0IAYnURKoLTABbbboQQxOIgWpMTAB7bboQQxOIgWoNTCDtNqiBzE4iWSk9sAEtN2iBzE4iWSghcAE2KIHMTiJEqCVwAzSeosexOAkioPWAhNgiz4Ug5NIAi0GJsAW/UYMTqIYaDUwg9iiD8fgJIpA64EJsEUPhcFJGcnj9eG804MBXwDZBh0mWcwwG+X7dWZgXsMWPTQGJ2WMtk43Xj3hQOOZLjh6+iEOWSYAsBeYUD3Nigcr7SgZlxvXMRiYw7FFD00QRVGMvpp8XC4X8vPz0dvbi7y8vGQemjJUR08/NtU342h7N/Q6Af5A+F/Z4PJ5xYWoWV4OW4EppmMwMEfq6OjAjBkzcP/992PXrl2pLkdxUrKJwUlpra7Jgc0NLfAFxIiBeSO9ToBBJ+DZZWVYOcsedj0GZmiiKGLJkiVobm7Ge++9p4nRppRsYqtOaWt7Yxu27W+Na1v/Z0H7zG+a0d3nxdrqkmHLGZiRsUWPjMFJaamuyRF3aN5o2/5WjM0xYsUsOwMzBpxFj46tOqWdjp5+LHzhMLy+wIhlfacPwvmHH1//gT4LulFmZFlsGD15JnIqFkFvHjNiO6NBh6+Pfh87/62WgRmBFlv0ILbqlNE21TfDF+V8pmXJk8iyTIAY8MHv6YX3r++j9/iv4TpRj8L7nsboSZ8btv6Vgav4efsVrFixgoEZAVv02OhSXQDRUG2dbhxt7446EZQ1diKMt9yKUbYZMN86FwULH0PRw/8BIXsU/vabH8Lv+WTY+oJOj1GTPof1m7cyNMNgix47ycH50UcfYdWqVbBYLDCZTPjc5z6HU6dOKVEbadCrJxzQ64S4tjXkW3HTgkcgDlyG+7/3jViu1wnYe9yRaImqxAvdpZHUqn/yySeYO3cuqqur8cYbb8BqteLDDz/kkJ5k03imS9JlRzcaPeVOQNDB2/HeiGX+gIjG1i5sQVkiJaoSW3RpJAXnj370I9hstmEXw06aNEnumkij+rw+OHr6E9qHLnsUdKY8+Pt6Qi53OPvh8fpkvT0z07FFl05Sq97Q0IA777wTDzzwAKxWK2bOnImXX3454jZerxcul2vYhyiUC04PZLnEI8JORADnnR45jqIKoijiscceY4sukaTgPHv2LHbs2IGSkhK8+eabePzxx/Hd734Xu3fvDrtNbW0t8vPzBz88MU/hDIS4/EiqwMAVBC67oM8pUPQ4arFr1y68+eab2LlzJ1t0CSQFZyAQwOc//3nU1NRg5syZ+Md//Ec89thj2LFjR9htNm7ciN7e3sFPR0dHwkWTOmUbEr/I4/KHTYAYgNFeruhx1IAtevwk/QaNHz8e06dPH/az2267DQ5H+JlKo9GIvLy8YR+iUCZZzIhvPv0aX28XPmn8OQSjGbkzF4dcR/jsOFrHFj0xks6Qz507F2fOnBn2s9bWVkycOFHWokibzEYD7AUmXIhhgujq3y4AAT/EgB+B/l5c6WhBX/NBCIIO1vv/N/Sm/JDb2S0mTgzheovOWfT4SPoNWr9+PaqqqlBTU4NvfvOb+POf/4ydO3di586dStVHGlM9zYo9Jy5EvSRp8LZLvQE6Yw6yLBOQP/vryLn9K2FDU68TUF1qlbnizMMWPXGS71X/3e9+h40bN6KtrQ2TJ0/Ghg0b8Nhjj8W8Pe9Vp0jaOt24+8dHFNv/wfVfQrE1voccq4Eoili8eDHee+89zd2LHo2i96ovXboUS5cujbs4okhKxuViXnEhjp11JnQh/I30OgFVUyyaDk2ALbpcOL1IaadmeTkMcd52GY5BJ6BmefiZdi1giy4fBielHVuBCc8uk/e2yOeWlcX8Gg014iy6vDi9SGlp5Sw7uvu8sjzM+PuLpmFFhNdnaAFbdHkxOCltra0uQWGOMaF3Dj23rEzzockWXX5s1SmtrZxlx8H181E1xQIAUR85F1xeNcWCg+vnaz402aIrgyNOSnu2AhP2PFJ5/b3qrV1wOEO8V91iQnWpFatm2zU/ex7EFl0ZfOcQZSSP14d9fzyFv1v193ht7258de4dvCPoBlp7L3qipGQTW3XKSGajAZPHZGHgYismj8liaN6ALbqy+NtGpEJs0ZXFESeRynAWXXkMTiIVYYueHGzViVSELXpycMRJpBJs0ZOHwUmkAmzRk4utOpEKsEVPLo44iTIcW/TkY3ASZTC26KnBVp0og7FFTw2OOIkyFFv01GFwEmUgtuipxVadKAOxRU8tjjiJMgxb9NRjcBJlELbo6YGtOlEGYYueHjjiJMoQbNHTB4OTKAMEW/ScnBy26GmArTpRBmCLnl444iRKc2zR0w+DkyiNsUVPT2zVidIYW/T0xBEnUZpii56+GJxEaYgtenpjq06UhtiipzeOOInSDFv09MfgJEojbNEzA1t1ojTCFj0zcMRJlCbYomcOBidRGmCLnlnYqhOlAbbomYUjTqIUY4ueeRicRCnEFj0zsVUnSiGpLbrH68N5pwcDvgCyDTpMsphhNvJ/42Tj3zhRisTaord1uvHqCQcaz3TB0dMPccgyAYC9wITqaVY8WGlHybhcxesmBidRSsTSonf09GNTfTOOtndDrxPgD4gj1hEBXOjpx54TF/DKn85jXnEhapaXw1ZgUvgbaBvPcRKlQLBFf/nll0O26HVNDix84TCOnXUCQMjQHCq4/NhZJxa+cBh1TQ7Za6brOOIkSrJoLfr2xjZs298a1779ARH+gIhnftOM7j4v1laXJFouhcARJ1ESRWvR65occYfmjbbtb8UvOfJUBEecREkUaRa9o6cfmxtaQm7Xd/ognH/4cchleV9YjpsWPBJy2Q8aWlA1tZDnPGXG4CRKkmgt+qb6ZviinMu0LHkSWZYJw36mzykIu74vIGJTfTP2PFIZX9EUEoOTKAmitehtnW4cbe+Oup+ssRNhHB/7eUt/QMTR9m60d7lRbOWlSnKRdI5zy5YtEARh2Ofmm29WqjYi1Yg2i/7qCQf0OkGRY+t1AvYe57lOOUmeHCorK8PFixcHP83NzUrURaQasVzo3nimK+olRwAAMQAx4B/2icYfENHY2iW1bIpAcqtuMBg4yiSKUSwXuvd5fXD09Me0v0u7vzfiZ/b/9ToEnT7idg5nPzxeH2/PlInkv8W2tjYUFRXBaDSisrISNTU1mDJlStj1vV4vvF7v4J9dLld8lRJloJ///OdR70W/4PQghrEmAMCydAOyLLZhP4sWmsC1O4zOOz0oK8qP8UgUiaRWvbKyErt37x48V3Pp0iVUVVXB6XSG3aa2thb5+fmDH5vNFnZdIjXp6OjAhg0bot6LPuALxLzPLIsNxvElwz6xknIcikxScC5evBhf//rXUV5ejoULF+L3v/89AOAXv/hF2G02btyI3t7ewU9HR0diFRNlACmPi8s2JOc+lGQdRwsSOuFhNptRXl6Otra2sOsYjUYYjcZEDkOUcWJp0YMmWcwQgJjb9XgInx2H5JHQP0FerxcffPABxo8fL1c9RBkv1hY9yGw0wK7wnT12i4kTQzKSFJxPPfUUDh8+jHPnzuHEiRP4xje+AZfLhdWrVytVH1FGifeJ7tXTrIpex1ldalVk31ol6Z+gv/71r/jWt76F7u5ujB07FrNnz8bx48cxceJEpeojyihSWvShHqy045U/nQ+7PKdiIXIqFsZVkz8gYtVse1zbUmiSgrOurk6pOogyntQWfaiScbmYV1yIY2edsV0IHyO9TkDVFAtvt5QZp9mIZCDHS9dqlpfDIHO7btAJqFleLus+icFJJItgix7uXvRY2ApMeHZZmax1PbesjI+UUwCDkyhBibToN1o5y46nFpXKUtf3F03Dilk8t6kEXp9AlAAl3ou+troEhTlGbG5oge+zV2HESq8TYNAJeG5ZGUNTQQxOogTEO4sezcpZdsydWhj1LZdBweVVUyx8y2USMDiJ4iRnix6KrcCEPY9UXn+vemsXHM4Q71W3mFBdasWq2XbOnicJg5MoDkq06OGUjMvFlmVl2IIyeLw+7PvjKfzdqr/Ha3t346tz7+AdQSnAv3GiOCjVokdjNhoweUwWBi62YvKYLIZminBWnUgipVt0Sn8MTiIJktmiU/riOJ9IglS16JReOOIkihFbdApicBLFgC06DcVWnSgGbNFpKI44iaJgi043YnASRcAWnUJhq04UAVt0CoUjTqIw2KJTOAxOohDYolMkbNWJQmCLTpFwxEl0A7boFA2Dk2gItugUC7bqREOwRadYcMRJ9Bm26BQrBicR2KKTNGzVicAWnaThiJM0jy06ScXgJE1ji07xYKtOmsYWneLBESdpFlt0iheDkzSJLTolgq06aRJbdEoER5ykOWzRKVEMTtIUtugkB7bqpCls0UkOHHGSZrBFJ7kwOEkT2KKTnNiqkyawRSc5ccRJqscWneTG4CRVY4tOSmCrTqrGFp2UwBEnZSSP14dzn15F9vhSnPv0Kjxe34h12KKTUjjipIzR1unGqyccaDzTBUdPP0QA41f/G753oBtPHXgT9gITqqdZ8WClHcXWHLbopBgGJ6W9jp5+bKpvxtH2buh1AvwBccQ6IoALPf3Yc+ICXvnTeUwZ7cXR4+/i9dd+zhadZMfgpLRW1+TA5oYW+D4Ly1ChOVRw+YceA2yP74Rr7AzFayTtYXBS2tre2IZt+1vj2lbQ6REA8MxvmtHd58Xa6hJ5iyNN4+QQpaW6JkfcoXmjbftb8csmhyz7IgI44qQ01NHTj80NLSGX9Z0+COcffjzsZ7rRecgqtCOv8n6Yir8QcrsfNLSgamohbAUmucslDeKIk9LOpvrmwXOa4ViWPImbv70NN3/7X2H56loIOh3+9p/Pob/tRMj1fQERm+qblSiXNIjBSWmlrdONo+3dUSeBssZOhPGWW2G85TaYplVh7Dc2A/oseD44EnJ9f0DE0fZutHe5lSibNCah4KytrYUgCHjyySdlKoe07tUTDuh1guTtBEM2BL0Bgk4fdh29TsDe4zzXSYmLOzibmpqwc+dOVFRUyFkPaVzjma6oo00AgBiAGPBD9Pvgc3Xjk4M7IV71wjx9fthN/AERja1dMlZLWhXX5FBfXx8efPBBvPzyy3j++eflrok0qs/rg6OnP6Z1L+3+3vAf6LNQcPfjGD3ljojbOZz98Hh9MBs5L0rxi+u3Z82aNbjnnnuwcOHCqMHp9Xrh9XoH/+xyueI5JGnABacHMYw1AQCWpRuQZbEBAAKXXehv/RN69u+AKPqRd8e9YbcTAZx3elBWlJ94waRZkoOzrq4O77zzDpqammJav7a2Fs8++6zkwkh7BnyBmNfNsthgHH/9ovbRU+6Ar7cLnza+gpyyauhG5chyHKJQJJ3j7OjowBNPPIG9e/di1KhRMW2zceNG9Pb2Dn46OjriKpTUL9uQ2EUe2dZJEH1eXO35SNHjEEkacZ46dQpdXV24447r55H8fj+OHDmC7du3w+v1Qq8fPqtpNBphNBrlqZZUbZLFDAGIuV2/0UDnOQCAzhS+DRc+Ow5RIiQF51133YXm5uEXEX/nO9/BrbfeiqeffnpEaBJJYTYaYC8w4UIME0RX/3YBCPgBAP7LbvS3HsOV8/+N0aVzkDXm5rDb2S0mTgxRwiT9BuXm5mLGjOFPmzGbzbBYLCN+ThSP6mlW7DlxIeolSUNvuxSMZhjyx+GmBY8i9/P3hN1GrxNQXWqVq1TSMP7TS2nlwUo7XvnT+bDLcyoWIqdiYVz79gdErJptj7MyousSDs5Dhw7JUAbRNSXjcjGvuBDHzjpjuxA+RnqdgKopFhRbc2XbJ2kXpxcp7dQsL4chjtsuIzHoBNQsL5d1n6RdDE5KO7YCE9bMHivrPr+/YCIfKUeyYXBS2mlvb8e/Pr4c+pY/yLK/qyd/jX9/YiW6u7tl2R8Rg5PSSnt7O6qrq2EymfD2S/+CrfeXw2jQSX5ikl4nwGjQ4Uf3l+PAi0+hs7MTCxYsYHiSLBiclDaGhuahQ4cwfvx4rJxlx8H181E1xQIAUQM0uLxqigUH18/Hill2TJ8+HY2NjQxPkg0vR6K0ECo0g2wFJux5pPL6e9Vbu+Bw9g+7w0jAtYvbq0utWDXbPmL2PBie1dXVWLBgAd566y0UFhYm58uR6jA4KeUiheZQJeNysWVZGbagDB6vD+edHgz4Asg26DDJYo56RxDDk+TCVp1SKtbQvJHZaEBZUT5m2m9CWVF+zLdRsm0nOTA4KWXiDc1EMTwpUQxOSolUhWYQw5MSweCkpEt1aAYxPCleDE5KqnQJzSCGJ8WDwUlJk26hGcTwJKkYnJQU6RqaQQxPkoLBSYpL99AMYnhSrBicpKhMCc0ghifFgsFJism00AxieFI0DE5SRKaGZhDDkyJhcJLsMj00gxieFA6Dk2SlltAMYnhSKAxOko3aQjOI4Uk3YnCSLNQamkEMTxqKwUkJU3toBjE8KYjBSQnRSmgGMTwJYHBSArQWmkEMT2JwUly0GppBDE9tY3CSZFoPzSCGp3YxOEkShuZwDE9tYnBSzBiaoTE8tYfBSTFhaEbG8NQWBidFxdCMDcNTOxicFBFDUxqGpzYwOCkshmZ8GJ7qx+CkkBiaiWF4qhuDk0ZgaMqD4aleDE4ahqEpL4anOjE4aRBDUxkMT/VhcBIAhqbSGJ7qwuAkhmaSMDzVg8GpcQzN5GJ4qgODU8MYmqnB8Mx8DE6NYmimVrzh6fH6cO7Tq8geX4pzn16Fx+tTuFIKRRBFUUzmAV0uF/Lz89Hb24u8vLxkHpo+w9BMH++//z6qq6sxbtw4vPXWWygsLByxTlunG6+ecKDxTBccPf0Y+j+sAMBeYEL1NCserLSjZFxu0mpXGynZxODUGIZm+gkXnh09/dhU34yj7d3Q6wT4A+H/Vw0un1dciJrl5bAVmJJVvmpIySa26hrC0ExPodr2uiYHFr5wGMfOOgEgYmgOXX7srBMLXziMuiaH4nVrGUecGsHQTH/BkeeYuSvgnfaVhPf31KJSrK0ukaEybeCIk4ZhaGaG6dOn4+mdDbKEJgBs29+KX3LkqQhDqgsgZTE0M0dHTz9eOtkTclnf6YNw/uHHYbcd960ajJpYMeLnP2hoQdXUQp7zlBmDU8UYmpllU30zfFHOZVqWPIksy4QRP88qtIdc3xcQsam+GXseqZSlRrqGwalSDM3M0tbpxtH26NdyZo2dCOP42M9b+gMijrZ3o73LjWIrL1WSi6RznDt27EBFRQXy8vKQl5eHOXPm4I033lCqNooTQzPzvHrCAb1OUGTfep2Avcd5rlNOkoJzwoQJ2Lp1K06ePImTJ09iwYIF+NrXvoaWlhal6iOJGJqZqfFMV9RLjgAAYgBiwD/iE4k/IKKxtUumSgmQ2Krfe++9w/78wx/+EDt27MDx48dRVlYma2EkHUMzM/V5fXD09Me07qXd3xv5Q0GHiU83RNzO4eyHx+uD2cizc3KI+2/R7/fjV7/6FTweD+bMmRN2Pa/XC6/XO/hnl8sV7yEpAoZm5rrg9CDWi6ktSzcgy2Ib/kMheosvAjjv9KCsKF9yfTSS5OBsbm7GnDlzcOXKFeTk5KC+vh7Tp08Pu35tbS2effbZhIqkyBiamW3AF4h53SyLTdLkULzHocgkXwA/bdo0vPvuuzh+/Dj+6Z/+CatXr8b7778fdv2NGzeit7d38NPR0ZFQwTQcQzPzZRuScx9Kso6jBZJHnNnZ2SguLgYA3HnnnWhqasKLL76Il156KeT6RqMRRqMxsSopJIamOkyymCEAMbfr8RA+Ow7JI+EzxaIoDjuHScnB0FQPs9EAe4EJF2KYILr6twtAiFl0w03joTeFP39pt5g4MSQjSX+TmzZtwuLFi2Gz2eB2u1FXV4dDhw5h3759StVHITA01ad6mhV7TlyIeklSuNsuCxavQ+7toe9x1+sEVJdaEy2RhpAUnJ2dnfj2t7+NixcvIj8/HxUVFdi3bx/uvvtupeqjGzA01enBSjte+dP5sMtzKhYip2JhXPv2B0Ssmh36lkyKj6Tg/NnPfqZUHRQDhqZ6lYzLxbziQhw764ztQvgY6XUCqqZYeLulzDjNliEYmupXs7wcBplvuzToBNQsL5d1n8TgzAgMTW2wFZjw7DJ578B7blkZHymnAAZnmmNoasvKWXY8tahUln19f9E0rJjFc5tK4PUJaYyhqU1rq0tQmGPE5oYW+AKipHOeep0Ag07Ac8vKGJoK4ogzTTE0tW3lLDsOrp+PqikWAIj6yLng8qopFhxcP5+hqTCOONMQQ5OAa+c89zxSef296q1dcDhDvFfdYkJ1qRWrZts5e54kfMtlmmFoUiQerw/nnR4M+ALINugwyWLmHUEykZJN/BtPIwxNisZsNPDRcGmA5zjTBEOTKHMwONMAQ5MoszA4U4yhSZR5GJwpxNAkykwMzhRhaBJlLgZnCjA0iTIbgzPJGJpEmY/BmUQMTSJ1YHAmCUOTSD0YnEnA0CRSFwanwhiaROrD4FQQQ5NInRicCmFoEqkXg1MBDE0idWNwyoyhSaR+DE4ZMTSJtIHBKROGJpF2MDhlwNAk0hYGZ4IYmkTaw+BMAEOTSJsYnHFiaBJpF4MzDgxNIm1jcErE0CQiBqcEDE0iAhicMWNoElEQgzMGDE0iGorBGQVDk4huxOCMgKFJRKEwOMNgaBJROAzOEBiaRBQJg/MGDE0iiobBOQRDk4hiweD8DEOTiGJlSHUBcvN4fTjv9GDAF0C2QYdJFjPMxshfk6FJRFKoIjjbOt149YQDjWe64OjphzhkmQDAXmBC9TQrHqy0o2Rc7rBtGZpEJJUgiqIYfTX5uFwu5Ofno7e3F3l5eQntq6OnH5vqm3G0vRt6nQB/IPxXCS6fV1yImuXlsBWYGJpENEhKNmXsiLOuyYHNDS3wfRaWkUJz6PJjZ51Y+MJhrJk9Fv/6+HKGJhFJlpGTQ9sb2/DMb5rh9QWiBuaN/AERXl8A//Z2J7JnLmNoEpFkGRecdU0ObNvfKsu+/GVLcOSvV2XZFxFpR0YFZ0dPPzY3tERdz3WyARe2LsXHP/3nqOv+oKEFHT39cpRHRBqRUcG5qb558JxmJH2nDwAArnY74P34TMR1fQERm+qbZamPiLQhY4KzrdONo+3dUc9pei+24WrXOYyeOgsA0PeX/RHX9wdEHG3vRnuXW7ZaiUjdJAVnbW0tZs2ahdzcXFitVtx33304cybyiE4ur55wQK8Toq7Xd/paUI758moYb7kNng+OIHD1SsRt9DoBe487ZKmTiNRPUnAePnwYa9aswfHjx3HgwAH4fD4sWrQIHo9HqfoGNZ7pijraDFz1wvP+EWSPL0H22EkwV9wNceAy+v/njxG38wdENLZ2yVkuEamYpOs49+3bN+zPu3btgtVqxalTp/ClL31J1sKG6vP64IhhAqf/zB8hej3IqVgEADDfNg+f/NfL6PvLfuSU3xVxW4ezHx6vL+rtmURECZ3j7O3tBQAUFBSEXcfr9cLlcg37SHXB6UEsV2v2/WU/BIMR5tuuhbguezRM0+bC+9cWXO35KOK2IoDzTuVHzkSU+eIOTlEUsWHDBnzxi1/EjBkzwq5XW1uL/Pz8wY/NZpN8rAFfIOo6Vz/5GN6OFoyeeicAEYErfQhc6YP51rkArs+0J3ocIqK4+9K1a9fi9OnTePvttyOut3HjRmzYsGHwzy6XS3J4Zhui5/u1YBTRf+aP6D8z8pym5723MOZL34ag0yd0HCKiuIJz3bp1aGhowJEjRzBhwoSI6xqNRhiNxriKC5pkMUMAwrbrYsAPT/N/wTBmPCyL141YfvnDJrj+XI/LZ0/BVPyFkPsQPjsOEVE0koJTFEWsW7cO9fX1OHToECZPnqxUXcOYjQbYC0y4EGaC6PLZU/D39WDMlx/CqIkVI5ZnjZ0I16nfoe8v+8MGp91i4sQQEcVEUm+6Zs0a7N27F6+99hpyc3Nx6dIlXLp0CZcvX1aqvkHV06xhr+Ps+8t+QG9ATsXdIZfrTfkwlc7B5Q+b4Pd8MnK5TkB1qVXWeolIvSQ9j1MQQgfXrl278NBDD8W0j3ifx9nW6cbdPz4S8/pSHVz/JRRbc6OvSESqpNjzOJP8zONhSsblYl5xIY6ddUp+lFwkep2AqikWhiYRxSyjppFrlpfDEMNtl1IYdAJqlpfLuk8iUreMCk5bgQnPLiuTdZ/PLSuDrcAk6z6JSN0yKjgBYOUsO55aVCrLvr6/aBpWzLLLsi8i0o6MvP5mbXUJCnOMg+8cknLOU68TYNAJeG5ZGUOTiOKScSPOoJWz7Di4fj6qplgAIOoj54LLq6ZYcHD9fIYmEcUtI0ecQbYCE/Y8Unn9veqtXXA4Q7xX3WJCdakVq2bbOXtORAnL6Peqh+Lx+nDe6cGAL4Bsgw6TLGbeEUREUWniverhmI0GlBXlp7oMIlKxjD3HSUSUKgxOIiKJGJxERBIxOImIJGJwEhFJxOAkIpKIwUlEJBGDk4hIIgYnEZFEDE4iIokYnEREEjE4iYgkYnASEUnE4CQikojBSUQkEYOTiEiipD/IOPjAeZfLlexDExGFFcykWF6KkfTgdLvdAACbzZbsQxMRReV2u5GfH/ktEkl/51AgEMDHH3+M3NxcCELkN1PGy+VywWazoaOjQ5H3GqUjfmdtfGdAm987Gd9ZFEW43W4UFRVBp4t8FjPpI06dTocJEyYk5Vh5eXma+cUK4nfWDi1+b6W/c7SRZhAnh4iIJGJwEhFJpMrgNBqN2Lx5M4xGY6pLSRp+Z+3Q4vdOt++c9MkhIqJMp8oRJxGRkhicREQSMTiJiCRicBIRSaSq4Dxy5AjuvfdeFBUVQRAE/Pa3v011SYqrra3FrFmzkJubC6vVivvuuw9nzpxJdVmK2rFjByoqKgYvhp4zZw7eeOONVJeVVLW1tRAEAU8++WSqS1HMli1bIAjCsM/NN9+c6rIAqCw4PR4Pbr/9dmzfvj3VpSTN4cOHsWbNGhw/fhwHDhyAz+fDokWL4PF4Ul2aYiZMmICtW7fi5MmTOHnyJBYsWICvfe1raGlpSXVpSdHU1ISdO3eioqIi1aUorqysDBcvXhz8NDc3p7qka0SVAiDW19enuoyk6+rqEgGIhw8fTnUpSXXTTTeJP/3pT1NdhuLcbrdYUlIiHjhwQJw/f774xBNPpLokxWzevFm8/fbbU11GSKoacRLQ29sLACgoKEhxJcnh9/tRV1cHj8eDOXPmpLocxa1Zswb33HMPFi5cmOpSkqKtrQ1FRUWYPHkyVq5cibNnz6a6JAApeMgHKUcURWzYsAFf/OIXMWPGjFSXo6jm5mbMmTMHV65cQU5ODurr6zF9+vRUl6Wouro6vPPOO2hqakp1KUlRWVmJ3bt3o7S0FJ2dnXj++edRVVWFlpYWWCyWlNbG4FSRtWvX4vTp03j77bdTXYripk2bhnfffReffvopfv3rX2P16tU4fPiwasOzo6MDTzzxBPbv349Ro0alupykWLx48eB/l5eXY86cOZg6dSp+8YtfYMOGDSmsjMGpGuvWrUNDQwOOHDmStMf2pVJ2djaKi4sBAHfeeSeamprw4osv4qWXXkpxZco4deoUurq6cMcddwz+zO/348iRI9i+fTu8Xi/0en0KK1Se2WxGeXk52traUl0KgzPTiaKIdevWob6+HocOHcLkyZNTXVJKiKIIr9eb6jIUc9ddd42YUf7Od76DW2+9FU8//bTqQxMAvF4vPvjgA8ybNy/VpagrOPv6+tDe3j7453PnzuHdd99FQUEB7HZ7CitTzpo1a/Daa6/h9ddfR25uLi5dugTg2gNZR48eneLqlLFp0yYsXrwYNpsNbrcbdXV1OHToEPbt25fq0hSTm5s74ry12WyGxWJR7fnsp556Cvfeey/sdju6urrw/PPPw+VyYfXq1akuTV2XIzU2NooARnxWr16d6tIUE+r7AhB37dqV6tIU8/DDD4sTJ04Us7OzxbFjx4p33XWXuH///lSXlXRqvxxpxYoV4vjx48WsrCyxqKhIvP/++8WWlpZUlyWKoijysXJERBLxOk4iIokYnEREEjE4iYgkYnASEUnE4CQikojBSUQkEYOTiEgiBicRkUQMTiIiiRicREQSMTiJiCRicBIRSfT/AcYZ1ZVVEwWaAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
        "{'A': (1, 2), 'B': (3, 4), 'C': (5, 7), 'D': (3, 6), 'E': (4, 3), 'F': (4, 5)}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -133,13 +133,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -163,14 +163,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The radius of bounding circle centered at the origin is 3.4197140881138655\n"
+      "The radius of bounding circle centered at the origin is 3.2015621187164243\n"
      ]
     },
     {
@@ -179,13 +179,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -212,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -224,7 +224,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -254,21 +254,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'A': 0.11785113019775861,\n",
-       " 'B': 0.11785113019775795,\n",
-       " 'C': -0.5892556509887904,\n",
-       " 'D': -1.2963624321753375,\n",
-       " 'E': 1.532064692570853,\n",
-       " 'F': 0.11785113019775761}"
+       "{'A': 0.11043152607484681,\n",
+       " 'B': 0.11043152607484658,\n",
+       " 'C': -0.11043152607484681,\n",
+       " 'D': -0.3312945782245397,\n",
+       " 'E': 0.5521576303742327,\n",
+       " 'F': 0.11043152607484646}"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -289,13 +289,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -320,13 +320,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -361,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -394,18 +394,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Internally set radius is: 4.1036569057366385\n",
-      "Thresholds chosen are: [-4.10365691 -3.67169302 -3.23972914 -2.80776525 -2.37580137 -1.94383748\n",
-      " -1.5118736  -1.07990971 -0.64794583 -0.21598194  0.21598194  0.64794583\n",
-      "  1.07990971  1.5118736   1.94383748  2.37580137  2.80776525  3.23972914\n",
-      "  3.67169302  4.10365691]\n"
+      "Internally set radius is: 1.2\n",
+      "Thresholds chosen are: [-1.2        -1.07368421 -0.94736842 -0.82105263 -0.69473684 -0.56842105\n",
+      " -0.44210526 -0.31578947 -0.18947368 -0.06315789  0.06315789  0.18947368\n",
+      "  0.31578947  0.44210526  0.56842105  0.69473684  0.82105263  0.94736842\n",
+      "  1.07368421  1.2       ]\n"
      ]
     }
    ],
@@ -433,7 +433,7 @@
     {
      "data": {
       "text/plain": [
-       "array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])"
+       "array([0, 0, 0, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0])"
       ]
      },
      "execution_count": 12,
@@ -459,7 +459,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -494,7 +494,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -585,7 +585,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhwAAAHRCAYAAAAhYGCLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA+NklEQVR4nO3de3hU1b3/8c8kJJN7wv2WCze5iRAb0AZRQVDAG3AKtqdWCLV4A1oqfSr8+hSkLUZbjq0HLVWrQL0ckFbE2iooCtQKFaFBEKHCQUi5hJvmBiRkZv3+wMwhJEDCzMqenXm/nmc9D7Nn7+98ZzPJfLPW2mt7jDFGAAAAFkU5nQAAAGj6KDgAAIB1FBwAAMA6Cg4AAGAdBQcAALCOggMAAFhHwQEAAKyj4AAAANZRcAAAAOsoOAAX2LhxowYOHKjExER5PB4VFBQ4nVLE6tSpk2699Van0wBch4IDrrZ161aNHTtWWVlZiouLU8eOHXXjjTdq/vz5Nfbr1KmTPB5PnW3EiBG14hYUFOg73/mOMjIy5PV61aJFCw0bNkwLFy6Uz+dTXl7eeeOd3fLy8oJ+j6dPn9a4ceN0/Phx/frXv9YLL7ygrKysOvdds2aNPB6P/vjHPwb9uqHyyCOP6LXXXmvQMSUlJZo7d6769++v1NRUeb1eZWVl6Zvf/Kb+8pe/2EkUgFXNnE4AuFQffPCBhgwZoszMTE2aNEnt2rVTYWGhNmzYoCeeeEJTp06tsX92dramT59eK06HDh1qPP7973+v++67T23bttVdd92lyy67TKWlpVq9erXuvvtuHTx4UPfee6+GDRsWOGbPnj2aNWuW7rnnHl177bWB7V27dg36fe7evVt79+7Vs88+q+9973tBx2tsjzzyiMaOHavRo0fXa/9du3Zp+PDh2rt3r8aMGaPx48crKSlJhYWF+utf/6pbb71Vf/jDH3TXXXfZTRxASFFwwLXmzp2r1NRUbdy4UWlpaTWeO3z4cK39O3bsqO985zsXjLlhwwbdd999ys3N1V//+lclJycHnps2bZo++ugjbdu2Tbm5ucrNzQ0899FHH2nWrFnKzc296Gs0VPV7Ofc9NkVVVVUaM2aMioqKtHbtWl1zzTU1np89e7ZWrVoln893wTjl5eVKTEy0mSqABmJIBa61e/duXX755XV+Ebdp0+aSYs6ZM0cej0cvvfRSjWKjWv/+/UMyTFLt3Xff1bXXXqvExESlpaVp1KhR+vTTTwPP5+Xl6frrr5ckjRs3Th6PR4MHD27Qazz88MPyeDzatWuX8vLylJaWptTUVE2cOFEnTpyosa/H49GUKVP00ksvqUePHoqLi1NOTo7WrVtXY7+8vDx16tTpvK91drzy8nItXry4XsNMy5Yt07Zt2/TTn/60VrFR7aabbtLIkSMDjxctWiSPx6O1a9fqgQceUJs2bZSeni5J2rt3rx544AH16NFD8fHxatmypcaNG6fPP/+8RszqGOvWrdO9996rli1bKiUlRePHj9cXX3xRZx7vv/++rrrqKsXFxalLly76wx/+cN73BYAeDrhYVlaW1q9fr23btqlPnz4X3f/06dM6evRore2JiYmKj4/XiRMntHr1al133XXKzMy0kXIN77zzjkaOHKkuXbro4Ycf1smTJzV//nxdc8012rx5szp16qR7771XHTt21COPPKLvf//7GjBggNq2bXtJr3fHHXeoc+fOys/P1+bNm/X73/9ebdq00WOPPVZjv7Vr12rp0qX6/ve/L6/Xq9/+9rcaMWKEPvzww3qd57O98MIL+t73vqerrrpK99xzj6QLDzP9+c9/lqRL6iV64IEH1Lp1a82aNUvl5eWSzky2/eCDD/Stb31L6enp+vzzz7VgwQINHjxY27dvV0JCQo0YU6ZMUVpamh5++GHt3LlTCxYs0N69ewNzY6rt2rVLY8eO1d13360JEybo+eefV15ennJycnT55Zc3OHcgIhjApVatWmWio6NNdHS0yc3NNT/+8Y/NypUrTWVlZa19s7KyjKQ6W35+vjHGmC1bthhJ5gc/+EGDc9m4caORZBYuXFjvY7Kzs02bNm3MsWPHAtu2bNlioqKizPjx4wPb3nvvPSPJLFu27KIx69p39uzZRpL57ne/W2PfMWPGmJYtW9bYVn1OPvroo8C2vXv3mri4ODNmzJjAtgkTJpisrKxar1/9WmdLTEw0EyZMuGjuxhhz5ZVXmrS0tFrby8rKzJEjRwKtuLg48NzChQuNJDNo0CBTVVVV47gTJ07UirV+/XojyfzhD3+oFSMnJ6fG5+eXv/ylkWRWrFgR2Fb9WVq3bl1g2+HDh43X6zXTp0+v1/sEIhFDKnCtG2+8UevXr9ftt9+uLVu26Je//KWGDx+ujh076vXXX6+1/9VXX6233367VvvP//xPSWeujJBU51BKqB08eFAFBQXKy8tTixYtAtv79u2rG2+8UX/9619D/pr33XdfjcfXXnutjh07Fnjf1XJzc5WTkxN4nJmZqVGjRmnlypUXnTsRrJKSEiUlJdXa/pOf/EStW7cOtG9/+9u19pk0aZKio6NrbIuPjw/8+/Tp0zp27Ji6deumtLQ0bd68uVaMe+65RzExMYHH999/v5o1a1br/6N37941Jge3bt1aPXr00P/+7//W/80CEYYhFbjagAED9Oqrr6qyslJbtmzR8uXL9etf/1pjx45VQUGBevfuHdi3VatWNa4sOVdKSookqbS01Hree/fulST16NGj1nO9evXSypUrQz7x8dxhoubNm0uSvvjii8B7l6TLLrus1rHdu3fXiRMndOTIEbVr1y5kOZ0rOTlZx44dq7X9gQceCKx9cb7hls6dO9fadvLkSeXn52vhwoXav3+/jDGB54qLi2vtf+57T0pKUvv27WvN+ahryK158+bnne8BgIIDTURsbKwGDBigAQMGqHv37po4caKWLVum2bNn1ztGt27d1KxZM23dutVips4596//amd/CdfX2fMZzhZsD0jPnj1VUFCg/fv3q2PHjoHt3bt3V/fu3SVJcXFxdR57dm9GtalTp2rhwoWaNm2acnNzlZqaKo/Ho29961vy+/2XnGcozyUQKRhSQZPTv39/SWeGLRoiISFBN9xwg9atW6fCwkIbqQVUL9y1c+fOWs/t2LFDrVq1cuyyzs8++6zWtn/9619KSEhQ69atJZ35a/7LL7+stV91z83Zzlec1KW6F+Oll16q9zEX8sc//lETJkzQf/3Xf2ns2LG68cYbNWjQoDpzl2q/97KyMh08eLDOK3IANAwFB1zrvffeq/Mvyurx9rqGKy5m9uzZMsborrvuUllZWa3nN23apMWLFzc82XO0b99e2dnZWrx4cY0vv23btmnVqlW6+eabg36NS7V+/foa8xsKCwu1YsUK3XTTTYG/7Lt27ari4mJ9/PHHgf0OHjyo5cuX14qXmJh43i/4c91xxx3q3bu3fv7zn2vDhg117tOQXoTo6Oha+8+fP/+8PTHPPPOMTp8+HXi8YMECVVVV1bgMF8ClYUgFrjV16lSdOHFCY8aMUc+ePVVZWakPPvhAS5cuVadOnTRx4sQa++/fv18vvvhirThJSUmBVTAHDhyop556Sg888IB69uxZY6XRNWvW6PXXX9cvfvGLkOT/q1/9SiNHjlRubq7uvvvuwGWxqampevjhh0PyGpeiT58+Gj58eI3LYqUza5RU+9a3vqWHHnpIY8aM0fe//32dOHFCCxYsUPfu3WtNxszJydE777yjxx9/XB06dFDnzp119dVX1/naMTExWr58uYYPH65BgwbpP/7jPwLrlOzfv1+vv/669u3bp1tuuaVe7+XWW2/VCy+8oNTUVPXu3Vvr16/XO++8o5YtW9a5f2VlpYYOHao77rhDO3fu1G9/+1sNGjRIt99+e71eD8AFOHiFDBCUN99803z3u981PXv2NElJSSY2NtZ069bNTJ061RQVFdXY90KXxdZ1eeemTZvMt7/9bdOhQwcTExNjmjdvboYOHWoWL15sfD5frf0v5bJYY4x55513zDXXXGPi4+NNSkqKue2228z27dtr7BOqy2KPHDlSY9/qS0H37NkT2CbJTJ482bz44ovmsssuM16v11x55ZXmvffeq/Vaq1atMn369DGxsbGmR48e5sUXX6zzstgdO3aY6667zsTHxxtJ9bpE9ssvvzQ/+9nPzJVXXhn4v83IyDBjx441f/7zn+t8Hxs3bqwV54svvjATJ040rVq1MklJSWb48OFmx44dJisrq0Ye1THWrl1r7rnnHtO8eXOTlJRk7rzzzhqXLRtz5rN0yy231Hqt66+/3lx//fUXfW9ApPIYwywnAGd4PB5NnjxZTz75pNOpNKpFixZp4sSJ2rhxY2AOEIDQYg4HAACwjoIDAABYR8EBAACsYw4HAACwjh4OAABgHQUHAACwLqIW/vL7/Tpw4ICSk5MbtNwyACDyGGNUWlqqDh06KCrKzt/np06dUmVlZUhixcbGnvdeQ+EgogqOAwcOKCMjw+k0AAAuUlhYqPT09JDHPXXqlDpnJenQ4eBuelitXbt22rNnT9gWHRFVcCQnJ0uSuk+apejY8PwPAQCEB1/lKf3r2Z8FvjtCrbKyUocO+7RnU5ZSkoPrQSkp9atzzl5VVlZScISD6mGU6Ng4RXvD8z8EABBebA/BpyRHBV1wuEFEFRwAAIQbn/HLF+QCFT7jD00yFlFwAADgIL+M/Aqu4gj2+MbQ9PtwAACA4+jhAADAQX75FeyASPAR7KPgAADAQT5j5AvyLiPBHt8YKDgAAHAQczgAAABCxLUFx6OPPiqPx6Np06Y5nQoAAJfMLyNfkM0NPRyuHFLZuHGjnn76afXt29fpVAAACApDKmGqrKxMd955p5599lk1b978gvtWVFSopKSkRgMAAI3PdQXH5MmTdcstt2jYsGEX3Tc/P1+pqamBxo3bAADhpvoqlWBbuHNVwbFkyRJt3rxZ+fn59dp/5syZKi4uDrTCwkLLGQIA0DD+ELVw55o5HIWFhfrBD36gt99+u953wvN6vfJ6vZYzAwAAF+OagmPTpk06fPiwvva1rwW2+Xw+rVu3Tk8++aQqKioUHR3tYIYAADRc9ZUmwcYId64pOIYOHaqtW7fW2DZx4kT17NlTDz30EMUGAMCVfEYhuFtsaHKxyTUFR3Jysvr06VNjW2Jiolq2bFlr+8VUpkjR9RuVaRB/TOhjVjOW6ykTZe/T6vF5rMWOrrQWWpIUddpicMu/IGx+ZqzGtvdxORPfYu4en8XYlgfpo6rsxTYWZwvajO07ZS92JHJNwQEAQFMUikmfTBq1bM2aNU6nAABAUPzyyKfguvb8QR7fGFxdcAAA4HZ+c6YFGyPcuWodDgAA4E70cAAA4CBfCIZUgj2+MVBwAADgoEgpOBhSAQAA1tHDAQCAg/zGI3+QC9AEe3xjoOAAAMBBDKkAAACECD0cAAA4yKco+YL8+9/iqvohQ8EBAICDTAjmcBgXzOFgSAUAAFhHDwcAAA6KlEmjFBwAADjIZ6LkM0HO4XDBvVQoOAAAcJBfHvmDnOHgV/hXHMzhAAAA1tHDAQCAg5jD0YRVJRv540Lf/eRPsngldKzfXmxJnmh78f2V0fZil9mLLUlRJ+11AkZVWQstSfJ57XWxmlh7sf12/0vt/ixVWvy8VNr9QrEZ30Rb/Cxa/Lz4YxpnmCI0czgYUgEAAIjMHg4AAMLFmUmjQd68zQVDKvRwAADgIP9XS5sH04K5yuXRRx+Vx+PRtGnTQvem6kDBAQBAhNq4caOefvpp9e3b1/prUXAAAOCg6kmjwbaGKisr05133qlnn31WzZs3t/DOaqLgAADAQf6vhkSCbZJUUlJSo1VUVJz3dSdPnqxbbrlFw4YNa5T3ScEBAEATkZGRodTU1EDLz8+vc78lS5Zo8+bN533eBq5SAQDAQT7jkS/I28tXH19YWKiUlJTAdq/XW2vfwsJC/eAHP9Dbb7+tuLi4oF63ISg4AABwUPWVJsHFOLPwV0pKSo2Coy6bNm3S4cOH9bWvfe3/jvf5tG7dOj355JOqqKhQdHToV1Sj4AAAwEF+EyV/kCuN+huw0ujQoUO1devWGtsmTpyonj176qGHHrJSbEgUHAAARJTk5GT16dOnxrbExES1bNmy1vZQouAAAMBBoRxSCWcUHAAAOMgvBT1pNNhbEq5ZsybICBfHZbEAAMA61xQcCxYsUN++fQMzcHNzc/Xmm286nRYAAEEJ5cJf4cw1Qyrp6el69NFHddlll8kYo8WLF2vUqFH65z//qcsvv9zp9AAAuCSXujT5uTHCnWsKjttuu63G47lz52rBggXasGEDBQcAAGHONQXH2Xw+n5YtW6by8nLl5uaed7+Kiooa68iXlJScOT65Sia+KuR5xTc/FfKY1ZLj7cWWpNhmPmuxS0/VXukuVEqiE63FliTjsfcj4q8KbpLYRePHBzuN7ALi7X1ePM0s5i3JG3/aWuyKkzHWYvtO2VkboZo5YS++ibF3BYWJsfd58ceE/nuizteRR34FO2nU7u+TUHBVwbF161bl5ubq1KlTSkpK0vLly9W7d+/z7p+fn685c+Y0YoYAADRMpAyphH+GZ+nRo4cKCgr0j3/8Q/fff78mTJig7du3n3f/mTNnqri4ONAKCwsbMVsAAFDNVT0csbGx6tatmyQpJydHGzdu1BNPPKGnn366zv29Xm+dN64BACBchGbhr/DvP3BVwXEuv99fY44GAABu4zce+YNd+CvI4xuDawqOmTNnauTIkcrMzFRpaalefvllrVmzRitXrnQ6NQAALpk/BD0crMMRQocPH9b48eN18OBBpaamqm/fvlq5cqVuvPFGp1MDAAAX4ZqC47nnnnM6BQAAQi40t6enhwMAAFyATx75glxHI9jjG0P4l0QAAMD16OEAAMBBDKkAAADrfAp+SMTezQZCJ/xLIgAA4Hr0cAAA4CCGVAAAgHXcvA0AACBE6OEAAMBBRh75g5w0alywDgcFBwAADoqUIRUKDgAAHMTdYpuwmKRKRSWEvhrMank85DGrFX6RZi22JPlMlbXYl7U8ai32pz67VX25L8FabE+l3dw9SaetxY5PqrAWOy7W3mdRklonllmLfaQ8yVrskrI4a7El6bQn1lrsqFh7q0Q0sxjbH11pLXYkisiCAwCAcOELwe3pgz2+MVBwAADgoEgZUgn/kggAALgePRwAADjIryj5g/z7P9jjGwMFBwAADvIZj3xBDokEe3xjCP+SCAAAuB49HAAAOChSJo1ScAAA4CATgrvFGhesNBr+GQIAANejhwMAAAf55JEvyJuvBXt8Y6DgAADAQX4T/BwMvwlRMhYxpAIAgIP8X83hCLY1xIIFC9S3b1+lpKQoJSVFubm5evPNNy29wzMoOAAAiDDp6el69NFHtWnTJn300Ue64YYbNGrUKH3yySfWXpMhFQAAHOSXR/4g52A09PjbbrutxuO5c+dqwYIF2rBhgy6//PKgcjkfCg4AABwUypVGS0pKamz3er3yer0XPtbn07Jly1ReXq7c3Nyg8rgQhlQAAGgiMjIylJqaGmj5+fnn3Xfr1q1KSkqS1+vVfffdp+XLl6t3797WcqOHAwAAB13KpM+6YkhSYWGhUlJSAtsv1LvRo0cPFRQUqLi4WH/84x81YcIErV271lrREZEFR1rySUUn+EMe9/iJhJDHrFZxKtZabNuOn4q3FrttSqm12JK0z+J590VHW4stSfFJFdZi2zzvad5T1mJLUteko9Zi727Wylrsf3tSrcWWpON+ex3e3rhKa7ETvfZi+6Lt/Qydza8QLG3+1RyO6qtO6iM2NlbdunWTJOXk5Gjjxo164okn9PTTTweVy/kwpAIAAOT3+1VRYa/IisgeDgAAwoUJwVUqpoHHz5w5UyNHjlRmZqZKS0v18ssva82aNVq5cmVQeVyIa3o48vPzNWDAACUnJ6tNmzYaPXq0du7c6XRaAAAEpfpuscG2hjh8+LDGjx+vHj16aOjQodq4caNWrlypG2+80dK7dFEPx9q1azV58mQNGDBAVVVV+n//7//ppptu0vbt25WYmOh0egAAuMZzzz3X6K/pmoLjrbfeqvF40aJFatOmjTZt2qTrrrvOoawAAAhOKK9SCWeuKTjOVVxcLElq0aLFefepqKioMQHm3AVRAABw2qUMidQVI9yFf0lUB7/fr2nTpumaa65Rnz59zrtffn5+jQVQMjIyGjFLAAAurnpp82BbuHNlwTF58mRt27ZNS5YsueB+M2fOVHFxcaAVFhY2UoYAAOBsrhtSmTJlit544w2tW7dO6enpF9y3PmvIAwDgpEgZUnFNwWGM0dSpU7V8+XKtWbNGnTt3djolAACCRsERZiZPnqyXX35ZK1asUHJysg4dOiRJSk1NVXy8vaWzAQBA8FxTcCxYsECSNHjw4BrbFy5cqLy8vMZPCACAEKCHI8wYY5xOAQCAkIuUgsOVV6kAAAB3cU0PBwAATZGRQnDztvBHwQEAgIMYUgEAAAgRejgAAHBQpPRwRGTB0SaxTDGJlSGPu/Nwm5DHrOariLYWW5Iqo+x9FIpP2VsnpV/r/dZiS9Kx8kRrsU9ExVqLLUnNE09ai90p+bi12K1jy6zFlqScxM+txY6S31rsKr/dDumKKnu/A5LjKi6+0yVqEXfCWuzTntB/T9SFggMAAFgXKQUHczgAAIB19HAAAOAgYzwyQfZQBHt8Y6DgAADAQX55gl6HI9jjGwNDKgAAwDp6OAAAcFCkTBql4AAAwEGRMoeDIRUAAGAdPRwAADiIIRUAAGAdQyoAAAAhQg8HAAAOMiEYUnFDDwcFBwAADjKSjAk+Rrij4AAAwEF+eeRhpVEAAIDg0cMBAICDIuUqFQoOAAAc5DceeViHo2n6d0mqoqu8IY9bWR4T8pgBp6LtxZbki/Zbi112MvTnutrnpS2sxZaktISTVuPb1C6x1Frs7olF1mKnxxy3FluSro77t7XYlcbez+nKwp7WYktSybFEa7Ev637UWuxdx1tai+07UWEtdiSKyIIDAIBwYUwIrlJxwWUqFBwAADgoUuZwcJUKAACwjoIDAAAHVfdwBNsaIj8/XwMGDFBycrLatGmj0aNHa+fOnZbe4RkUHAAAOKj6brHBtoZYu3atJk+erA0bNujtt9/W6dOnddNNN6m8vNzSu2QOBwAAjnJi0uhbb71V4/GiRYvUpk0bbdq0Sdddd11wyZwHBQcAAE1ESUlJjcder1de78WXJiguLpYktWhhb6kBhlQAAHDQmR6OYOdwnImVkZGh1NTUQMvPz7/o6/v9fk2bNk3XXHON+vTpY+19uqqHY926dfrVr36lTZs26eDBg1q+fLlGjx7tdFoAAFyyUF4WW1hYqJSUlMD2+vRuTJ48Wdu2bdP7778fVA4X46oejvLycvXr109PPfWU06kAABB2UlJSarSLFRxTpkzRG2+8offee0/p6elWc3NVD8fIkSM1cuRIp9MAACBkzFct2BgN2t8YTZ06VcuXL9eaNWvUuXPnIDO4OFcVHA1VUVGhior/Wwv/3Mk0AAA4zYmVRidPnqyXX35ZK1asUHJysg4dOiRJSk1NVXx8fFC5nI+rhlQaKj8/v8bkmYyMDKdTAgDAcQsWLFBxcbEGDx6s9u3bB9rSpUutvWaT7uGYOXOmHnzwwcDjkpISig4AQHhxYEzFOHC3tyZdcNT3+mMAABwTgiEVcfM2AAAAl/VwlJWVadeuXYHHe/bsUUFBgVq0aKHMzEwHMwMA4NI4sbS5E1xVcHz00UcaMmRI4HH1/IwJEyZo0aJFDmUFAMClc+IqFSe4quAYPHhwSCa6lBbHK6oyLgQZneOEvdMZVWn3w+SLibYW+7S1yFJRdLLF6FJlpb3/07bNS63FlqT0+C+sxe4dd8Ba7C4xR63FlqS9VfY+M7sr2lqLXfJlgrXYkhR9NMZa7D1t7N2fw+Z58Z9spFkHxhP8HAwXFBzM4QAAANa5qocDAICmhjkcAADAPifWNncAQyoAAMA6ejgAAHAQV6kAAIDG4YIhkWAxpAIAAKyjhwMAAAcxpAIAAOzjKhUAAIDQoIcDAABHeb5qwcYIbxQcAAA4KUKGVCg4AABwUoQUHMzhAAAA1tHDAQCAkyLk9vQUHAAAOChS7hbLkAoAALAuMns4voiVTsWGPGx0pb0uLY/PbneZP9ZeeWws5n7CZ7lmLo+2Fvqg5dw7pR+zFrt37GFrsbs2S7IWW5JeOtXCWuzd5a2txdYXof+ddba4o/Z+Tr84nmgtttXzctJvL/bZImTSaGQWHAAAhIsImcPBkAoAALCOHg4AABzkMWdasDHCHQUHAABOipA5HAypAAAA6+jhAADASREyaZSCAwAAJ0XIkAoFBwAAToqQgoM5HAAAwDp6OAAAcFKE9HBQcAAA4KQImTTKkAoAALCOggMAAAdVrzQabGuIdevW6bbbblOHDh3k8Xj02muvWXlvZ6PgAADASSZErQHKy8vVr18/PfXUUyF5C/XhuoLjqaeeUqdOnRQXF6err75aH374odMpAQDgKiNHjtQvfvELjRkzptFe01UFx9KlS/Xggw9q9uzZ2rx5s/r166fhw4fr8OHDTqcGAIDjSkpKarSKigqnUwpocMExcOBAlZSU2Mjloh5//HFNmjRJEydOVO/evfW73/1OCQkJev755x3JBwCAYHkUgjkcX8XKyMhQampqoOXn5zv51mpocMGxYcMGnTp1qtb2kpISPfTQQyFJqi6VlZXatGmThg0bFtgWFRWlYcOGaf369XUeU1FRUavaAwCgqSosLFRxcXGgzZw50+mUAuq9DsfYsWPVv39/eTweHT58WG3atKnxfHl5uebNm6fHHnss5ElK0tGjR+Xz+dS2bdsa29u2basdO3bUeUx+fr7mzJlTa3tMcZSiK1w1mmSdv9LmNdwWY5+0+/8YU2wv/ukqr7XYkvTszoHWYn/csaO12N0Ti6zFlqRVh3pZi72nsM3Fd7pErbbYXmfB3spRJ4/HWott82fUd6qRvidCuA5HSkqKUlJSQpBU6NW74MjMzNQbb7whY4z69eunli1bql+/furXr5+ys7O1c+dOtW/f3mauDTZz5kw9+OCDgcclJSXKyMhwMCMAAM7BSqM1Pf7445Kk2NhY/f3vf9eBAwf0z3/+UwUFBVq+fLn8fr9++ctfWku0VatWio6OVlFRzb9+ioqK1K5duzqP8Xq98nrt/hUJAEBQHCg4ysrKtGvXrsDjPXv2qKCgQC1atFBmZmaQydStwUubl5eXKyYmRpI0atSokCd0PrGxscrJydHq1as1evRoSZLf79fq1as1ZcqURssDAAC3++ijjzRkyJDA4+rRgAkTJmjRokVWXrPBBUd1seGEBx98UBMmTFD//v111VVX6Te/+Y3Ky8s1ceJEx3ICACAYl7JSaF0xGmLw4MEypnHHYVx187ZvfvObOnLkiGbNmqVDhw4pOztbb731Vq2JpAAAuAZzOMLTlClTGEIBAMBlXFdwAADQpNDDAQAAbHNiDocTWP0KAABYRw8HAABOCuFKo+GMggMAACdFyBwOhlQAAIB19HAAAOCgSJk0SsEBAICTImRIhYIDAAAnhaCHww0FB3M4AACAdfRwAADgJIZUmi7vl1K0N/RxfbGhj1nNRNuLLUlV8fau4fb47MWOrrQWWpIUd9Re7LTP7F43X3w81Vrs94p7Wov9YVqWtdiSVL4/yVrspD32flDjj/msxZYkj8/eN5bnn/bOS0Vza6Hlq7AXu4YIKTgYUgEAANZFZA8HAADhIlIui6WHAwAAWEfBAQAArGNIBQAAJ0XIpFEKDgAAHMQcDgAAgBChhwMAAKe5oIciWBQcAAA4iTkcAADANuZwAAAAhAg9HAAAOIkhFQAAYBtDKgAAACFCDwcAAE5iSAUAAFgXIQUHQyoAAMA6ejgAAHBQpEwajciCw/ulUXRs6P93KpM9IY9ZzR9jLbQkKfUze7lHV9r7SfCW+K3FliSf1955iT9y2lpsSYo7Zq8D83hprLXYFS3sxZak1CJ7saMr7MX2HrMYXFL0ySprsRM/LbcW++igdtZi+yz+7qqBIZXwMnfuXA0cOFAJCQlKS0tzOh0AANAArik4KisrNW7cON1///1OpwIAQOiYELUw55ohlTlz5kiSFi1a5GwiAACEUKTM4XBND8elqKioUElJSY0GAEBYcaiH46mnnlKnTp0UFxenq6++Wh9++GHQb+VCmnTBkZ+fr9TU1EDLyMhwOiUAABy3dOlSPfjgg5o9e7Y2b96sfv36afjw4Tp8+LC113S04JgxY4Y8Hs8F244dOy45/syZM1VcXBxohYWFIcweAIDgVQ+pBNsa4vHHH9ekSZM0ceJE9e7dW7/73e+UkJCg559/3s6blMNzOKZPn668vLwL7tOlS5dLju/1euX1ei/5eAAArAvhZbHnTh2o63uwsrJSmzZt0syZMwPboqKiNGzYMK1fvz7IRM7P0YKjdevWat26tZMpAADQZJw7dWD27Nl6+OGHa2w7evSofD6f2rZtW2N727ZtgxpVuBjXXKWyb98+HT9+XPv27ZPP51NBQYEkqVu3bkpKSnI2OQAALlUIezgKCwuVkpIS2BxOvfyuKThmzZqlxYsXBx5feeWVkqT33ntPgwcPdigrAACC4/mqBRtDklJSUmoUHHVp1aqVoqOjVVRUc9ndoqIitWtnb+VW11ylsmjRIhljajWKDQAA6i82NlY5OTlavXp1YJvf79fq1auVm5tr7XVd08MBAECT5MC9VB588EFNmDBB/fv311VXXaXf/OY3Ki8v18SJE4NM5PwoOAAAcJATK41+85vf1JEjRzRr1iwdOnRI2dnZeuutt2pNJA0lCg4AACLQlClTNGXKlEZ7PQoOAACcFCG3p6fgAADAaS4oGIJFwQEAgIMi5W6xEVlwxB33qVmML/SBPdGhj/mV0wnBXqV9YS0+PWEtdnRppbXYUYeOWostSZW90q3Fjj1o9+7F/qQ4a7G97e396vDH2P2sx5bZ+83c7KS92DFFpdZiS5LKyq2F9n9ZbC12/DF7q1VXnbbwPRHBIrLgAAAgbDCHAwAA2BYpQyquWWkUAAC4Fz0cAAA4iSEVAABgG0MqAAAAIUIPBwAATmJIBQAAWBchBQdDKgAAwDp6OAAAcFCkTBql4AAAwEkRMqRCwQEAgIM8xshjgqsYgj2+MTCHAwAAWEcPBwAATmJIBQAA2BYpk0YZUgEAANbRwwEAgJMYUgEAALZFypBKRBYccUdPqZmFd14VlxD6oF8xlge/ok9WWYsdVXbSWuyqosPWYktSbFqKtdj+pDhrsSUp6tBxa7HjMhOtxfbFRluLLUkxZfZ+M8eW2Ps5MofsftY9Hdpaix0VZe8XWNyRU9ZiV1XZix2JIrLgAAAgbDCkAgAAbIuUIRWuUgEAANbRwwEAgJMYUgEAAI3BDUMiwaLgAADAScacacHGCHOumMPx+eef6+6771bnzp0VHx+vrl27avbs2aqsrHQ6NQAAUA+u6OHYsWOH/H6/nn76aXXr1k3btm3TpEmTVF5ernnz5jmdHgAAlyxSrlJxRcExYsQIjRgxIvC4S5cu2rlzpxYsWEDBAQBwNyaNhrfi4mK1aNHigvtUVFSooqIi8LikpMR2WgAAoA6umMNxrl27dmn+/Pm69957L7hffn6+UlNTAy0jI6ORMgQAoH48/tC0cOdowTFjxgx5PJ4Lth07dtQ4Zv/+/RoxYoTGjRunSZMmXTD+zJkzVVxcHGiFhYU23w4AAA1nQtTCnKNDKtOnT1deXt4F9+nSpUvg3wcOHNCQIUM0cOBAPfPMMxeN7/V65fV6g00TAICINXfuXP3lL39RQUGBYmNj9eWXX15SHEcLjtatW6t169b12nf//v0aMmSIcnJytHDhQqt3HwQAoLGE+1UqlZWVGjdunHJzc/Xcc89dchxXTBrdv3+/Bg8erKysLM2bN09HjhwJPNeuXTsHMwMAIEhhvvDXnDlzJEmLFi0KKo4rCo63335bu3bt0q5du5Senl7jOeOC1dUAAGgM516NGU5TC1wxLpGXlydjTJ0NAAA3qx5SCbZJUkZGRo2rM/Pz8519c2dxRQ9HqEUfK1V0VOiXRY9pbq+K9Mfa/a/yVJy2F7ys3FroZm3bWIstSb7UeHux42OsxZakmObJ1mJ7j9v7vFTF2/07KKbMZy127JcVF9/pEnlat7QWW7L7WY+KibYWO/qIvfWVjN/e/2fNF1LIFv4qLCxUSkpKYPP5ejdmzJihxx577IIhP/30U/Xs2TPIxP5PRBYcAACEi1BOGk1JSalRcJxPQ68SDQUKDgAAIkxDrhINFQoOAACcFOZXqezbt0/Hjx/Xvn375PP5VFBQIEnq1q2bkpKS6h2HggMAAAeF+zocs2bN0uLFiwOPr7zySknSe++9p8GDB9c7jiuuUgEAAM5YtGhRnVeJNqTYkOjhAADAWdyeHgAA2BbuQyqhwpAKAACwjh4OAACc5DdnWrAxwhwFBwAAToqQORwMqQAAAOvo4QAAwEEehWDSaEgysYuCAwAAJ4X5SqOhQsEBAICDuCwWAAAgROjhAADASRFylQoFBwAADvIYI0+QczCCPb4xRGTB4U9LlD86LuRxY8pOhzxmNV+83dEvz8lKa7H9JaXWYnu6ZlqLLUlVybHWYvtiLf+f+uKtxY45Vm4ttjch2lpsye7PafSxMmux/c3rfxvwS2Hzsx4Va+//NNobYy223xeRX5HWcDYBAHCS/6sWbIwwR8EBAICDImVIhatUAACAdfRwAADgJK5SAQAA1kXISqMMqQAAAOvo4QAAwEGRsrQ5BQcAAE6KkCEVCg4AABzk8Z9pwcYId8zhAAAA1tHDAQCAkxhSAQAA1kXIOhwMqQAAAOtcU3DcfvvtyszMVFxcnNq3b6+77rpLBw4ccDotAACCUn0vlWBbuHNNwTFkyBC98sor2rlzp/70pz9p9+7dGjt2rNNpAQAQnOo5HMG2MOeaORw//OEPA//OysrSjBkzNHr0aJ0+fVoxMTEOZgYAAC7GNQXH2Y4fP66XXnpJAwcOvGCxUVFRoYqKisDjkpKSxkgPAID6M5KCXUcj/Ds43DOkIkkPPfSQEhMT1bJlS+3bt08rVqy44P75+flKTU0NtIyMjEbKFACA+omUORweY5zLcsaMGXrssccuuM+nn36qnj17SpKOHj2q48ePa+/evZozZ45SU1P1xhtvyOPx1HlsXT0cGRkZGnTDw2rWLC5k76Oa91BZyGNWO9kx2VpsSUrYut9e8KQEa6Er26VYiy1JlWn2hut8MXV/bkMlptxnLXazE/ZiR1Xaiy1J0WUVF9/pEvmSvNZiVyXZHTquSoi2Fjuq0t4ymFFV9r7CqqpO6f13H1ZxcbFSUkL/u6akpESpqam64coZahYd3HdSle+U3v3no9ZyDQVHh1SmT5+uvLy8C+7TpUuXwL9btWqlVq1aqXv37urVq5cyMjK0YcMG5ebm1nms1+uV12vvFwAAAEEzCsHCXyHJxCpHC47WrVurdevWl3Ss33+mYj67BwMAANdhpdHw8Y9//EMbN27UoEGD1Lx5c+3evVs//elP1bVr1/P2bgAA4Ap+ScGOsHLzttBISEjQq6++qqFDh6pHjx66++671bdvX61du5YhEwAAXMAVPRxXXHGF3n33XafTAAAg5EJxlYmtq1Q+//xz/fznP9e7776rQ4cOqUOHDvrOd76jn/zkJ4qNjW1QLFcUHAAANFlhPIdjx44d8vv9evrpp9WtWzdt27ZNkyZNUnl5uebNm9egWBQcAACgTiNGjNCIESMCj7t06aKdO3dqwYIFFBwAALhKCHs4zl1R28byEMXFxWrRokWDj3PFpFEAAJqsEN68LSMjo8YK2/n5+SFNddeuXZo/f77uvffeBh9LwQEAQBNRWFio4uLiQJs5c2ad+82YMUMej+eCbceOHTWO2b9/v0aMGKFx48Zp0qRJDc6NIRUAAJwUwnU4UlJS6rW0eUNX+j5w4ICGDBmigQMH6plnnrmkFCk4AABwkBOXxTZkpe/9+/dryJAhysnJ0cKFCxUVdWmDIxQcAACgTvv379fgwYOVlZWlefPm6ciRI4Hn2rVr16BYFBwAADgpjNfhePvtt7Vr1y7t2rVL6enp57xkw16TSaMAADjJb0LTLMjLy5Mxps7WUPRwAADgpDDu4QglejgAAIB1EdnDUZHSTL6Y0L9140kKecxqzU76rMWWpNOd21iL7fdGW4tdmWL3I3w60V5N7rd3WiRJppm9F/DF2TsvHp/d/9Po5BhrsW2eF1+s3b8PfXHBXpd5flFV9mJ7qqyFVtXpxvqKDEEPh8K/hyMiCw4AAMIGQyoAAAChQQ8HAABO8hsFPSRi6SqVUKLgAADAScZ/pgUbI8wxpAIAAKyjhwMAACdFyKRRCg4AAJwUIXM4GFIBAADW0cMBAICTGFIBAADWGYWg4AhJJlZRcAAA4KQI6eFgDgcAALCOHg4AAJzk90sKcuEuf/gv/EXBAQCAkxhSAQAACA16OAAAcFKE9HBQcAAA4CRWGgUAAAiNiOzhqEyNki829LVWVXxMyGNWi/JZCy1J8lisjv3NPNZi+2KthZYk+WPs5W7shZYk+WLtvUBUgr3Pi8fyZHuPL9pabGMvtNWfI8lu7vLby91j8Q97X2Xj/E1ujF8myNvLB3t8Y3BdD0dFRYWys7Pl8XhUUFDgdDoAAATHmDNDIsE0F8zhcF3B8eMf/1gdOnRwOg0AANAArio43nzzTa1atUrz5s1zOhUAAEKj+iqVYFuYc80cjqKiIk2aNEmvvfaaEhIS6nVMRUWFKioqAo9LSkpspQcAwKXx+4OfvMQcjtAwxigvL0/33Xef+vfvX+/j8vPzlZqaGmgZGRkWswQA4BJESA+HowXHjBkz5PF4Lth27Nih+fPnq7S0VDNnzmxQ/JkzZ6q4uDjQCgsLLb0TAABwIY4OqUyfPl15eXkX3KdLly569913tX79enm93hrP9e/fX3feeacWL15c57Fer7fWMQAAhBPj98sEOaTihstiHS04WrdurdatW190v//+7//WL37xi8DjAwcOaPjw4Vq6dKmuvvpqmykCAGCXCcFKoy4YUnHFpNHMzMwaj5OSkiRJXbt2VXp6uhMpAQCABnBFwQEAQJPlN8EvmUoPhx2dOnWSccHJBQDgooyRFOxlseH/neiKy2IBAIC7ubKHAwCApsL4jUyQQypu6PWnhwMAACcZf2iaJbfffrsyMzMVFxen9u3b66677tKBAwcaHIeCAwAABxm/CUmzZciQIXrllVe0c+dO/elPf9Lu3bs1duzYBsdhSAUAAJzXD3/4w8C/s7KyNGPGDI0ePVqnT59WTExMveNEVMFRPcblqzxl5wUq7VWYfsuLyHksVsfG77EW22ct8hl+Yy93i6ElSR6LJ8f47H1egr2H1UXj2zwv0fZi+y3+HEl2cw/2AowLCfZq0gup/q6wPT+iylQEPSRSpdOSat+kNNQrbh8/flwvvfSSBg4c2KBiQ5JkIkhhYWH1cm40Go1Go9WrFRYWWvlOOnnypGnXrl3I8kxKSqq1bfbs2SHJ9cc//rFJSEgwkszXv/51c/To0QbH8BjjgqmtIeL3+3XgwAElJyfL47nwXwslJSXKyMhQYWGhUlJSGinD0CD3xufWvCVyd4pbc3dr3lLDczfGqLS0VB06dFBUlJ0pj6dOnVJlZWVIYhljan23na+HY8aMGXrssccuGO/TTz9Vz549JUlHjx7V8ePHtXfvXs2ZM0epqal64403LvpderaIKjgaoqSkRKmpqSouLnblDxW5Ny635i2Ru1Pcmrtb85bcnXuoHTlyRMeOHbvgPl26dFFsbGyt7f/+97+VkZGhDz74QLm5ufV+zYiawwEAAOp/89S6+L+aVFhRUdGg4yg4AABAnf7xj39o48aNGjRokJo3b67du3frpz/9qbp27dqg3g2JdTjOy+v1avbs2SGd3dtYyL3xuTVvidyd4tbc3Zq35O7cnZKQkKBXX31VQ4cOVY8ePXT33Xerb9++Wrt2bYPPI3M4AACAdfRwAAAA6yg4AACAdRQcAADAOgoOAABgHQUHAACwjoLjPJ566il16tRJcXFxuvrqq/Xhhx86ndJF7dixQy1btlTXrl2VnZ2tpKQkDRo0yOm06sVNuX/55Zfq37+/srOz1adPHz377LNOpxQxOnXqpL59+yo7O1tDhgxxOp16cfPnZefOncrOzg60+Ph4vfbaa06ndUH5+fkaMGCAkpOT1aZNG40ePVo7d+50Oi1Iiqibt9XXkiVLTGxsrHn++efNJ598YiZNmmTS0tJMUVGR06ld1MiRI83HH39sjDGme/fupqyszOGM6s8tuVdVVZny8nJjjDFlZWWmU6dOl3QjIzRcVlaWKS0tdTqNBmkqn5fS0lLTsmXLsP25rDZ8+HCzcOFCs23bNlNQUGBuvvlmk5mZGfZ5RwJ6OOrw+OOPa9KkSZo4caJ69+6t3/3ud0pISNDzzz/vdGoXtXPnTvXo0UMnTpyQz+dTYmKi0ynVm1tyj46OVkJCgqQzS/saY2SMcVUvjST16tVLHo+nzvbkk086nV69hft5byqfl9dff11Dhw5VYmJiWOf+1ltvKS8vT5dffrn69eunRYsWad++fdq0aZOkpvO5dyVn653wU1FRYaKjo83y5ctrbB8/fry5/fbbnUmqnkpKSkyvXr2MMcZ8+OGH5tZbb3U4o/pzW+5ffPGF6du3r4mPjzdPPvlkYLtbemmMMeaTTz4xkszq1avNwYMHzeeff26ioqLMsmXLzKlTp5xOr06dOnUyX/va10z//v3Niy++GNge7ue9KXxeRo0aZf70pz8FHrsl988++8xIMlu3bjXGuPNz31TQw3GOo0ePyufzqW3btjW2t23bVocOHXIoq/rZvn27evfuLenMbYW7d+/ucEb157bc09LStGXLFu3Zs0cvv/yyioqKJLmnl0aSioqK1KxZM11zzTVq166djh49Kr/fr2uvvTZsl35+//33tWnTJr3++ut65JFH9PHHH0sK//Pu9s9LSUmJPvjgA918882BbW7I3e/3a9q0abrmmmvUp08fSe783DcVFBxNyCeffKLLL79ckpSYmKhVq1Zd9PbD4cKtubdt21b9+vXT3/72N5WWlsrr9So2NlaffPKJevXq5XR6F7R161Z179498Et2y5YtatOmTa1iO5x07NhRktS+fXvdfPPN2rx5s6vOu1s/LytWrNBNN92kuLg4SXJN7pMnT9a2bdu0ZMmSwDY3fu6bCu4We45WrVopOjo68BdItaKiIrVr186hrOrnu9/9buDf3/jGN/SNb3zDwWwaxk25FxUVKSEhQcnJySouLta6det0//33u66X5uOPP9YVV1wReLxly5Yaj8NNeXm5/H6/kpOTVVZWpnfffVd33HFH2J/3pvB5eeWVV3TPPfcEHrsh9ylTpuiNN97QunXrlJ6eHtjuts99U0IPxzliY2OVk5Oj1atXB7b5/X6tXr26wbfiRdO0d+9eXXvtterXr5+uvfZaTZ06VVdccYXremk+/vhj9e3bN/B4y5YtNR6Hm6KiIg0aNEj9+vXT17/+dY0fP14DBgwI+/Pu9s9LcXGxPvzwQw0fPjywLZxzN8ZoypQpWr58ud5991117ty5xvNu+9w3KU5PIglHS5YsMV6v1yxatMhs377d3HPPPSYtLc0cOnTI6dQuSNIFWzhzc+5u5PP5TEJCgvnzn/8c2Jaenm6eeOIJB7MCgnf//feb1NRUs2bNGnPw4MFAO3HiBJ97h/Gb/Dzmz59vMjMzTWxsrLnqqqvMhg0bnE6p3srLy01mZqaZPn2606nU2759+8z1119vevXqZa644grzyiuvOJ1Sk/avf/3LSDJ79+4NbBs5cqRJS0sz77//voOZAcE53x8tCxcu5HPvMI8xxjRefwoaw09+8hPt2rVLGRkZmjdvntPp1MvBgwdVVFSk7OxsHTp0SDk5OfrXv/4VljPfPR7PJR3Hj1pw3Hre3Zq35O7cEX6Yw9HEfPbZZ9qxY4dGjhzpdCoN0r59e2VnZ0uS2rVrp1atWun48ePOJnUe5quFm85u5eXlyszM1PTp0+t8nl/AwXPreT87l3379un6669Xr169dMUVV+iVV14J27wl955zhCcKjibmRz/6kfLz851OIyibNm2Sz+dTRkaG06nU29y5c/X1r3/d6TQijtvOe7NmzfSb3/xG27dv16pVqzRt2jSVl5c7nVaDuO2cI3xQcDQhK1asUPfu3cPyErX6On78uMaPH69nnnnG6VTqza29Sm7nxvPupp68urjxnCN8UHA0IRs2bNCSJUvUqVMn/ehHP9Kzzz6rn/3sZ06nVW8VFRUaPXq0ZsyYoYEDBzqdTr01hV4lN3L7eXdjT57bzzmcRcHRhOTn56uwsFCff/655s2bp0mTJmnWrFlOp1Uvxhjl5eXphhtu0F133eV0OvXWFHqV3Mjt592NPXluP+dwHiuNIiz8/e9/19KlS9W3b1+99tprkqQXXngh7FcArO5VWrZsmcrKynT69GmlpKS4ptBzKzefd7f25Ln5nCM8cFksECKLFi3Stm3bXHMpclPhpvNujNG3v/1t9ejRQw8//LDT6VwyN51zhA+GVACgkVT35L322mvKzs5Wdna2tm7d6nRaQKOghwMAAFhHDwcAALCOggMAAFhHwQEAAKyj4AAAANZRcAAAAOsoOAAAgHUUHAAAwDoKDgAAYB0FBwAAsI6CAwAAWEfBAQAArKPgAAAA1lFwABHq/vvv16BBg+p8Lj09XY8++mgjZwSgKWvmdAIAGt8nn3yiZ555Rn/729/qfL5Xr14qKCho3KQANGn0cAAR6Fe/+pUGDBiggQMH1vl8ixYtdOjQoUbOCkBTRsEBRJiqqiq9+uqr+sY3vhHYdu+99+q5554LPC4tLVV8fLwT6QFooig4gAize/dulZaW6oorrpAk+f1+LVu2TMnJyYF9Pv74Y/Xu3dupFAE0QRQcQIT58ssvJUlJSUmSpJUrV+qLL75QXFycJGnDhg3av3+/xowZ41SKAJogJo0CESYrK0sej0f/8z//o8TERP3oRz/SLbfcohUrVigjI0P33Xefhg0bdt4rWADgUniMMcbpJAA0rvz8fD366KOKj4/XI488opycHI0aNUpHjx7Vbbfdpt/+9rdq3ry502kCaEIoOAAAgHXM4QAAANZRcAAAAOsoOAAAgHUUHAAAwDoKDgAAYB0FBwAAsI6CAwAAWEfBAQAArKPgAAAA1lFwAAAA6yg4AACAdf8fI58TmfizkiQAAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -615,7 +615,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/doc_source/notebooks/Tutorial-ExactECT.ipynb b/doc_source/notebooks/Tutorial-ExactECT.ipynb
new file mode 100644
index 0000000..19a4e29
--- /dev/null
+++ b/doc_source/notebooks/Tutorial-ExactECT.ipynb
@@ -0,0 +1,255 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial for exact ECT computation \n",
+    "\n",
+    "*Warning: This is a work in progress. Proceed at your own risk.*\n",
+    "\n",
+    "The goal of this section is so show available tools for exact computation of the ECT. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ect import ECT, EmbeddedGraph, EmbeddedCW,create_example_graph\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle\n",
+    "import numpy as np\n",
+    "import networkx as nx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use the `EmbeddedGraph` class to find the angle normal to any pair of vertices in the graph, whether or not there is a connecting edge.  Setting `angle_labels_circle=True` in the plotting command will try to draw these on the circle. Note that this doesn't tend to do well for large inputs, but can be helpful for small examples. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Super simple graph \n",
+    "G = EmbeddedGraph()\n",
+    "G.add_node('A', 0,0)\n",
+    "G.add_node('B', 1,0)\n",
+    "G.add_node('C', 2,1)\n",
+    "G.add_node('D', 1,2)\n",
+    "G.add_edge('A', 'B')\n",
+    "G.add_edge('B', 'D')\n",
+    "G.add_edge('D', 'C')\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbEAAAGdCAYAAACcvk38AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACR7UlEQVR4nOzdeVzN+fcH8NetW7eNqEShrIWyhkQh+1ZNjJ2xk3UwxtAYWUaYsQ2NpTGWwWAs2RlbJetUyhLZVRRRae92b/f8/uh377doubfu3vv5eNzHzP2s56Y+5753DhERGIZhGEYD6ag6AIZhGIapKJbEGIZhGI3FkhjDMAyjsVgSYxiGYTQWS2IMwzCMxmJJjGEYhtFYLIkxDMMwGoslMYZhGEZjcVUdgLyJRCIkJiaiWrVq4HA4qg6HYRiGkRERITMzE9bW1tDRKbuspXVJLDExEfXr11d1GAzDMEwlJSQkoF69emUeo3VJrFq1agAKP3z16tVVHA3DMAwjq4yMDNSvX1/yPC+L1iUxcRVi9erVWRJjGIbRYNI0CbGOHQzDMIzGYkmMYRiG0VgsiTEMwzAaiyUxhmEYRmOxJMYwDMNoLJbEGIZhGI3FkhjDMAyjsVgSYxiGYTQWS2IMwzCMxmJJjGEYhtFYLIkxDMMwGoslMYZhGEZjsSTGMAzDaCyWxBiGYRiNxZIYwzAMo7FYEmMYhmE0FktiDMMwjMZiSYxhGIbRWCyJMQzDMBqLJTGGYRhGY7EkxjAMw2gslsQYhmEYjcWSGMMwDKOxWBJjqiyRSKTqEBiGqSSuqgNgGEWKiooCl8tFjRo18OLFC7Ro0QJcLheJiYlwdHRUdXgMw1QSS2KMVtu3bx/u3r2L6Oho2NraokGDBvjvv//g4eGBly9fwsrKCvv27VN1mAzDVBCrTmS02pIlSxAUFIT9+/dDV1cX27ZtQ2xsLFq1aoWrV69CR4f9CTCMJmN/wYxWMzMzQ82aNdG/f39kZGTA2toa8fHxCA0Nxc8//4yAgABVh8gwTCWw6kRG6+Xl5cHAwAAODg5o3749+Hw+hg8fjkWLFkFHRwdEBA6Ho+owGYapAJbEGK1nYGAAAHBwcMCnT5+wefNmdO7cGQKBAC9fvsTjx4/h4eGh4igZhqkIlsQYrZeTk4MePXogJSUF69evh7W1NYKCghASEoJHjx7hypUrOHbsGLy9vVUdKsMwMmJJjFE7BQUFyMjIwKtXryAUCtGxY8dKXc/IyAi+vr4gIsTExOC3335DTEwMLC0tce7cOZw9exZnz55lSYxhNBDr2MGolezsbPz666/w8vKCu7s7pk+fjhkzZuDOnTuVum5OTg68vb3x6dMnLF++HKdPn0bdunVRr149jBgxAnfv3gURyelTMAyjLCyJMWojNTUVXl5e2LdvH0aNGoX09HQEBQWhVatWmDt3bqWu3a1bN7Rr1w5r166Fq6srOnTogI8fPyImJgampqawtrbGuXPn5PNBGIZRGpbEGLVx9epV5Obm4v79+/Dx8QEA1KtXDz4+PjAyMsLx48crfG0rKyvUqlULly9flmzr3bu35P2sWbMkHUAYhtEcCk1i165dg4eHB6ytrcHhcHDixIkyjw8JCQGHw/niFRsbq8gwGTUgEolw7949fPXVV9DV1YVAIAARSeY39PHxwcGDByt1j0GDBuGff/6RvJ8xYwacnJwAAP369UPPnj0rdX2GYZRPoUksOzsbrVu3lnlA6ZMnT5CUlCR5NW3aVEERMupCR0cHKSkpyM3NBQDJFxgut7DvUY0aNTBs2DBkZmZW+B5DhgyRXB8oLOW5urpK3rM2MYbRPBxS0l8uh8NBUFAQvvrqq1KPCQkJgbu7O9LS0lCjRo0K3ScjIwOmpqZIT09H9erVKxYsoxIvXrzA4MGDce/ePck2kUgEHR0dpKenY9++fQgJCcHRo0dVGCXDMIomy3NcLdvE2rZtCysrK/Ts2RPBwcFlHsvn85GRkVHsxWimxo0bw9nZGdOnT5cksuzsbGzatAnt27fH3r17cefOHZw+fbpS92ElLobRHmqVxKysrBAYGIhjx47h+PHjsLe3R8+ePXHt2rVSz1m9ejVMTU0lr/r16ysxYkbe/P390bNnT1hYWGDz5s1o164d9uzZg1WrViE8PBxHjhzBxo0bK3UPNsUUw2gPtapOLImHhwc4HA5OnTpV4n4+nw8+ny95n5GRgfr167PqRA0WEhKCYcOGoWnTpvj2228xbNiwYvu7du2KxYsXo3///iqKkGEYRZKlOlHtZ+zo1KkT9u/fX+p+Ho8HHo+nxIgYRatXrx4KCgpw48YNAIXVf0KhEEQEfX19tG/fHh8/flRxlAzDqAO1qk4sSVRUFKysrFQdBqNETZo0wYgRI7Bq1SoAgEAggJ6eHvT19RETE4NDhw7B3t5exVEyDKMOFFoSy8rKwvPnzyXvX716hejoaJiZmcHGxgaLFy/G27dv8ddffwEANm3ahAYNGsDBwQH5+fnYv38/jh07hmPHjikyTEYNzZ8/H4MGDYK3tzdatGiBpKQkXLp0CUeOHIGXlxc6duzIllBhGEaxSSwiIgLu7u6S9/PnzwcAjBs3Dnv27EFSUhLi4+Ml+/Pz87FgwQK8ffsWhoaGcHBwwNmzZzFgwABFhsmoocaNG2PSpEnw8/PDvXv3YGNjg+rVq6NJkyaYMmUKANZBg2EYJXbsUBY2Tkx7EBGSkpJw9uxZmJqaombNmujWrRv09fVVHRrDMAoky3OcJTENwqrPCrGfA8NoN63qncj8j/jBfevWLURFReHu3bvYuXOniqNSPpbAGIYRY0lMQ6SkpODDhw9YvHgxTExMEBcXh+joaPzwww9sbkmGYaoste9iX9VlZWXh1q1bGDp0KH799VfUqFEDK1asAI/Hw5QpU1gCYximSmMlMTX28uVLTJgwAdnZ2fj06RN4PB7Onz+PnJwcmJubY+zYsZJjWTsRwzBVESuJqbFGjRph6dKlOHLkCJ4/f47s7Gz4+flh69at+PjxI5o0aQIAEAqFuHr1KpYvX67iiDUXEeH27dtIT09XdSgMw8iAlcTUlLhkVXShxsuXL6Nnz56IjIzE5cuXYWJigvz8fPz3339YvXo1bt++jQ8fPsi8fhsDDBgwABcuXMDu3bsxfvx4VYfDMIiMjJQs2sqUjpXE1NTnVYN8Ph/6+vqYN28eunfvjhYtWkAoFOLOnTtYtGgR+vXrh6ysLKSmpmLcuHEqilpzde7cGQCKrfzMMKri4+Mj+TKqZaOg5I4lMQ3B4/Hw6dMnfPvttxgwYABq1KiBW7du4aeffsK9e/cki4j+/fffeP/+PSIiIlQbsIYZOnQogMLSblpamoqjYaqy6dOn49OnT9i9ezcAsN/HcrAkpkFq1KiBn376CQMHDsT169exbNkydO/eHXFxcdi7dy+WLFmCq1evIiQkBLq6uqoOV6M0a9YMjo6OEAgEOHnypKrDYaqo7777DpGRkZKVO7Zt24Y//vgDQqFQxZGpL5bENIS4SmHq1KkQCASYOHEiOnbsiGXLlsHMzAz79u3DoUOHsGPHDvj7+6Nt27YqjljziNctY1WKjKro6+vD0tISz549w4YNG7Br1y6MGjUKXC7rvlAaNu2Uhho2bBiMjY0lVQ4vXrzA4MGDcf78eVhbW6s4Os0UGxuL5s2bQ09PD+/fv0fNmjVVEgcR4cmTJ0hMTERaWhoEAgGEQiEGDhyImjVrIiQkBI8ePQKXy5W8HB0d0a5dO2RmZuLx48ewtrZG7dq1oaenp5LPwFTcTz/9JBlKc/LkSTRt2hQFBQVVqnaFTTulxcS9Fv/55x/MmDEDX3/9Nb777jts2rQJzs7OqF27tqpDVDqRSISCgoJKP7DFVYoPHz7EyZMn5d5LMTc3F3w+HzVq1MCrV69w5MgRJCUlITExEUlJSTA1NcXp06cBAE5OTsjJySl2fnR0NGrWrIkjR44gMDCwWBXTggUL0K5dO9y9exfdu3cHUNg5qFatWnB0dMSVK1cAABs3boS+vj6srKxgbW2NevXqoW7dumyMoQqdO3cOqamp+PDhAyZOnIiVK1fC0tISQUFBSEtLQ3Z2NoyNjVUdptpiJTENVHRg89y5c/Hy5UtYW1tj2LBh6NGjh4qjU66LFy9i4cKF+OabbyRL/VTGypUrsXTpUvTv3x/nzp2r1LUePXqE4OBgREZGIiIiAo8ePcKiRYvw888/Izg4GN7e3pJkYmVlBXt7e/z0008AgP/++w9mZmYwMzODnp4euFwueDwedHSKtwCIRCJJMtPX10dOTg6ePn0qSYyJiYngcDhYsmQJAMDBwQHPnj2DQCCQXCMsLAyurq64cuUK0tLS4OTkhAYNGrDEpgQTJ07E+/fvYWFhgdu3b8PW1hZTp07F119/jeXLl+O///7Dt99+i65du8LAwEDV4SqNTM9x0jLp6ekEgNLT01UdikIVFBRI/l/8WUUiEWVnZ6sqJJX4888/CQBZWlrK5bM/fvyYAJCenh6lpqZKdU5OTg7dunWLAgICaMKECfTgwQMiIlq0aBHp6elRu3btaMqUKbRjxw6KjY0losJ/K1UpKCig5ORkunfvHp06dUrycxs7diwBIABkZmZGvXv3pnPnzhERkUAgUGnM2mjWrFk0ZMiQYtvmzp1LHh4eFBYWRkREixcvJmdnZ8nvVFUhy3OcJTENVvShkpubS1u3bqX58+dTYmKiCqNSrvz8fGrYsCEBoPXr18vlmo6OjgSAdu/eXeJ+oVAo+f/BgweTrq6uJPG1a9eOQkJCiIjo06dPlJeXJ5eYlCUpKYnOnDlDy5cvJ09PTzp9+jQREQUGBpKZmRn179+ftmzZQq9fv1ZxpJpt7ty5ZGtrK3mflZVFRESZmZn09ddfF0tuR48eVXZ4KseSWBVJYkWNGzeOJk2aRGvXri2xRFK05EZE9PHjR2WFpnDyLo2tWLGCAFD//v0l29LS0ujgwYM0cuRIqlmzJiUkJEjuvWPHDoqIiNC4hCWLe/fu0fLly6lXr16kp6dHAGju3LlEVJjUP//9YkonEAhoz5491LFjRzpw4IBke35+PhER/ffff9SwYUPJ75hYVSoJsyRWBZOYOCmJHybiX/jPf/Hv3r1Lx48fp8aNG9P06dOVG6SCyLs09nmVore3N3G5XAJAbdu2JT8/P3r37p0cItdMnz59osOHD1NoaCgREZ08eZKsrKxo6tSpdObMGcrJyVFxhOovJyeH/vnnH+rQoQMFBgYS0f/+Vu/evUujR48uVuKvamR5jrPeiVrCzMwMQGGPNPr/jh/i/+bl5eH169fYtGkTnj9/DgsLC7x///6L3m+aSk9PD0uWLMGkSZOwdu1a+Pj4wMjISObrEBEiIyMRFBQEAwMD5OXl4eTJk+jYsSN69+6NQYMGoX79+gr4BJrF1NRUMqYOAJo0aYKRI0fi5MmTCAwMhJGREebNm4eff/5ZhVGqN0NDQwwaNAhEhHXr1qGgoAA+Pj4ACjsXNW7cuEp1qa8UBSdUpauqJbGSJCQkUGRkJHl5eZGjoyONHj2aXr9+TVFRUTRnzhz677//iOh/1RiarDKlMZFIRH/++Se1bduWAJC5uTm1adPmiypFpmwikYgePXpEa9asoYMHDxIRUVRUFE2YMIEiIiJUHJ16ysnJocOHD5OLiwvt3LmTJk+eTJMmTZLsr0pViEXJ8hxnM3ZosatXr2LYsGFo0qQJrK2tYWpqCltbW9y+fRs3btyAra0tAGjFgFhxaQwA1q5dK1Up8+nTpxCJROBwODh8+DDq1q2Ls2fP4t27dzh48CAA4NKlS2zuOilxOBw0b94cP/zwA0aMGAEASExMxOXLl9G+fXs4Oztj7969yM3NVXGk6sPQ0BAeHh6YN28e5s2bh+zsbOzcuRMAJL+bTDmUkFSVipXEirt//z4RFTa+d+nShTw8PMjT05MuXLhQ7LgePXp80d1X00hTGhMIBHTs2DHq2bMnAZD8HEoqjbZs2ZIA0K5duxQat7YTCoV08uRJ6tu3LwGgxYsXE1HVLWWUJCcnh+7cuSN5X9V/NqwkxkjmWmzZsqVkyprr168jMzMTmZmZkgU1AaBXr15ITU2FSCTC7NmzVRVypZVXGtuxYwcaNGiAIUOGIDc3F/v375fMblFSaVQ8s/2RI0cUG7iW09XVhaenJy5cuIBnz55Jfsd+/fVX9O/fH6dPn0ZBQYGKo5S/pUuX4uHDh1Ida2hoiI4dOwJgJTBZsSSmpYr+ERRtIE5LS0OfPn3QuHFjAMDIkSMRERGBqKgoHD9+HHFxcZgzZ47S45WXsWPHomHDhkhOTsb27dvx6NEjvHv3DgAk8w9GRUXhxo0bGD16NHg8XqnXEicxVqUoP02aNIGVlRUAoGnTpkhJSYGnpycaN26MTZs2IS8vT8URysf06dMRExMDR0fHYttFIlGx9yUl789nZWHKofiCoXKx6sTShYaGUufOnSVVFd26daOmTZtKGpXFfvnlF3r16pWKoqw88bgxAwMD4nA49MMPP1T4WqxKUfH+++8/+uabb0hXV5fOnz+v6nAqbebMmTRixAjJ+9OnT9PTp08l7x8+fEhLly5VRWgag40TY0msVOIZGPr06UOtW7cmIqLU1FRydHSUjFfRZB8/fqRvv/1WMn3SV199RXw+v8LXK2ngM6MYL1++lHzBmjlzJp08eVLj2oaWLVtGxsbGkvfr16+n7t2704cPHyTbnj9/Tg0aNCh1RhiGtYkxJaD/byMbNGgQNm/ejKioKISHhwMAatasiQsXLsDGxkbjF99LTEzEnj174OXlBQC4efNmpT4Tq1JUnoYNG4LD4SA7OxuxsbHw8vKCq6srwsLCVB2aVIRCIVxdXdGxY0esX78ef/zxB06cOIE///wTFhYWkuMaN26M5cuXg4i0si1Q6RSeUpWMlcSkI54NQCgUavTMAHw+nwICAqhbt24kEAiIqHAeOnnO4sGqFFXj4sWL1K5dOwJAw4cPV3U4ZSrauzUsLIw6d+5MJiYmlJKSUuy48ePH09OnT+nZs2fFSmdMcawkVgVQBVfQETcs6+rqgoigq6urkTMDiEQiHDx4EM2bN8fs2bPRoEEDZGdnAwCMjY0rNG6sNKyXomr07t0b4eHhOHz4sKQXaXp6Ol69eqXawD4zf/58jB07FsuXL0d8fDxcXFywZs0atGvXDps3b5YcN3LkSHA4HDRt2hRNmjQpVjpjKkHhKVXJqlpJLDg4mEaNGkVeXl4VKlGJ2xySk5MpOTlZ3uEpzFdffUUAyMPDo9RlKuRVGhPPpcjlcqVenoVRjBUrVpCenh6tWLFCLWaa8fHxocGDB9PRo0epS5cudOPGDcm+sLAw6tGjBy1evJjGjx9P06ZNk+zTtLY+ZWMdO7Q8iRUUFNCnT59o5MiRNGnSJOrYsSM1bty4wkkoKiqKfvzxR/r222+/qP4oKiIigrZv317RsCtNKBTSp0+fiKiwqunatWvlniOvGe7FVYqsMV61srKyyNfXl3R1daldu3Z07949lcUyYcIEGjx4sOS9t7c3jR07ln788Uc6duwYERUmskaNGtGwYcMkx7EZ/8vHkpiWJ7Fly5bR1KlTqV+/fhQXF0dfffUVrV69WubriEQiysnJoYEDB9LKlSvpyJEjpR4bHh5OY8eOpYYNG9LkyZMrE36FPHr0iJydncnb21um8+RVGjt16hSdPXu2Uj0dGfkJDw8nR0dH0tPTo5cvXyr9/u/fvydLS0tavnw5ERFt3ryZGjRoQDt37iQ/Pz9q2rQpXbx4kYiInjx5IjmPJTDpsCSmpUns+PHj9M033xCXy6Xu3btLqiS+/vprCg4OJiKilJQUevDggWS6KWl8vnTG51UdDx48oNGjR9PatWspOjqaRo4cST4+PpX7MFISCoW0du1a4vF4ZGdnRzdv3pT5GvJeb4xRD3l5eZISj0gkomfPnin1/vfv3yd7e3vq3bs3ubq6Unx8PBEVlhYnTpwomQRZjCUw6bGOHVooKysLJ0+ehI2NDRISEmBqaoqxY8fi5MmTePr0Kbp27QpfX1+MHj0agwcPhq+vL7y8vKSabNXAwKDY+6KzfURERGDt2rW4c+cOkpOT0bp1a/z99994+PAh9u7dK/fPWVRBQQG6d++ORYsWYfbs2YiOjoaLi4vM1/l8Fg9GO/B4PAwePBhAYaebFi1aYOXKlRAIBEq5f8uWLXH8+HG8e/cO7dq1kyzTY2xsjJcvXyIrK6vY8WwmDgVRQlJVKm0uiYlEIsky5kREs2fPJg6HQ4GBgbRx40aytLSkixcvSlaE/f7778nFxYViY2MrdL/w8HAaN24c+fn50enTp6lLly60YcMGevz4MU2dOpVOnDghl8/1OaFQKGm03759e4VKX59jpTHtlpeXRz/++CPp6upS27ZtldpW9uDBA7Kzs6NVq1aRUCikkSNH0sSJE5V2f23EqhO1NImJFe2V5eXlRXPmzCELCws6c+bMF8du3ryZ/P39Ze7J9ebNG+rfvz/5+vrS48ePiYjo7du3VKNGDRo2bBgNGjRIskZURkZGJT5NcY8fPyZnZ2f66aef5HZNIvmv/syop6JtZUV7CiqauGrR2tq6WC9EVoVYMSyJaXkSEzt9+jSZmprS/v37acqUKcVKGOLu9gkJCXTq1KkKXX/69OnUtWvXYtsmTZpEjx8/po8fPxIRUVxcHOnr6xfrfVVRQUFBZGxsXOG2r/KIS2O2trYaPcCbKVteXh4FBARIBr+L/6toDx48oB9//FHyniWwilObJBYaGkqDBg0iKysrAkBBQUHlnhMSEkLt2rUjHo9HDRs2pG3btsl0z6qUxOLi4mjr1q20c+dO6tKlCxGVPP5E1h51Ra8xbdo0Gj16NH38+JH2799PPB6PIiMjiaiwZFazZk2aM2cOjRs3jqZPn16hzyESiWjlypUEgIYMGVKsylSe8vPzaenSpZSYmKiQ6zPqJzQ0lJo1a0YxMTFKvS9LYJWjNh07srOz0bp1awQEBEh1/KtXrzBgwAC4ubkhKioKvr6+mDNnDo4dO6bIMNUSEeH169dlHmNjY4Pp06ejU6dOqFGjBlJTU8HhcCSzeYhn59DX15fp3hwOR3Lu9u3bwePx8M0332D27Nn47bffYGtri/Hjx6Nz585o1KgRfvvtN+zZswdv3rzBDz/8IPuHBfDo0SMsX74c//zzD4yNjSt0jfLo6elh+fLlkqVAGO1Xr149cLlcdOrUCadPn5bLNS9fvozff/+9zGNYJw4lUnhK/X+QoiS2cOFCatasWbFt06ZNo06dOkl9H20pia1bt44MDQ1p7dq1Uh2/ePFiatu2Ld2+fVtuswEU/TaZnJxMcXFxJBKJqGPHjgSA6tSpQ927d6eAgADJcXv27JG6jSwuLo6uXLnyxb0YRp4yMjLoq6++Ig6HQ6tXr67U38elS5fIwMCAANDJkyflGCVTlNpUJxa7kRRJzM3NjebMmVNs2/Hjx4nL5ZbaMSEvL4/S09Mlr4SEBI1PYnFxcdS+fXsKDQ2lYcOGUbdu3aTqYXjkyBHq2LEjbdiwgW7fvi2XWD7/g3/16hVVq1aN9PT0CAC5urpS8+bN6Z9//pHpumFhYWRpaUktW7ZkCYxRuIKCAvrpp5/I1ta2wlOHFU1ggwYNory8PDlHyYhpbBJr2rQprVq1qti2GzduEIBS2zH8/Pwka0cVfWlqEhOJROTm5kYLFy6UbPPz86MJEyZIdX5iYiK9fv1aYXOz+fj40JgxYygsLIxMTEwIALm5uVF4eLjU99y5cyfp6elR165dNWq+RkbziWsJkpKSJENRpMESmHKpTZtYRRQdaAv8b7b2z7eLLV68GOnp6ZJXQkKCwmNUpE2bNkEkEiE0NBQLFy4EAHz48AHVqlWTHJOfn1/q+VZWVrC1tS3151VZ27Ztw759++Dq6opz587B2NgYYWFhWLx4sVQDq3/55RdMnjwZEydOxKVLl1CrVi2FxMkwJRH/Hc2ZMwcdOnTA7du3yz3n8uXL8PDwQF5eHgYNGoSjR4+Cx+MpOlRGSmqVxOrUqYN3794V25acnAwulwtzc/MSz+HxeKhevXqxl6ZKSEjAzp07ceLECVy+fBmvXr2CpaUl9PT0YGdnh0OHDmHYsGGYNGkSVqxYofT46LPlX9zc3HDhwgWYmJjg8uXL8PLyKnfJE29vb2zfvh3bt2+XucMJw8jLli1b0LhxY3Tr1g379+8v9TiWwDSAwsuF/w9Sduxo3rx5sW0+Pj5VomOHSCSi5s2b0+HDhyXbMjIy6OuvvyaBQEDdunWjMWPG0MKFCykiIoI8PT2pZ8+eSu86XJKiVYu9evX6YkaMlJQUmjx5smQGeoZRB3w+nyZMmEAASlydgVUhqo7atIllZmZSVFQURUVFEQDasGEDRUVFUVxcHBERLVq0iMaOHSs5/uXLl2RkZETz5s2jR48e0Z9//kl6enp09OhRqe+pqUksPT2dunTpQt7e3pSUlEREhUukjB49mtzc3KhRo0aSn5tYQEAATZgwQS3WuCotkSUnJ1ObNm3I3Ny81HW/GEZVRCIRffvtt/Tnn38W284SmGqpTRILDg4usdPFuHHjiIho3Lhx1K1bt2LnhISEUNu2bUlfX58aNGhQ5QY7r1+/nlq1akU+Pj40dOhQat68OTk4OBTrzivuqVlQUED79++ntLQ0FUVb3OeJ7MWLF+Tg4ECWlpYsgTEaISwsjCUwNSDLc5xDVMF17tVURkYGTE1NkZ6errHtY0+ePMFff/0FZ2dn1K5dG/7+/vjhhx/QuXPnL45NT0+HqampCqIs2fXr19G/f39kZWXByMgI1atXR3BwMJo1a6bq0BimTGFhYejatSu4XC6EQiFrA1MhWZ7jXCXFxMjA3t4eq1atAlC4BEtWVpbkH1IgEEBPTw9EBA6Ho1YJDABcXV1x/vx5SSJr27YtbGxsVB0Wo4Gy+UK8TslGvlAEfa4OGpgbw5inuEcWn8+XJDB7e3uWwDQES2JqzsTEBG5ubliwYAF2794tmTJJEV3oc3NzceDAAUyaNKnC1//w4QNevnwpSWQ3btyAl5cXTp48CSMjIzlHzGibZ+8zceBOPIKfJCM+NQdFq4k4AGzMjOBub4nRzjZoWrtaaZeRmbgXojiBPXnyBFu2bMGCBQvkdg9GMVh1ooZYvXo1Dh48iDFjxqBdu3ZwcnJCzZo15XZ9IsI333yD/fv3Y8iQIdizZw9MTExkukZqaip69OiB9+/f4/Hjx3j48KGkRNarVy+WyJhSJaTmwDfoAcKef4SuDgcFotIfS+L9bk0s4O/dEvXNKvc7VVI3+p9//hk3btzAxYsXweWy7/rKJstzXK3GiWkyRX8XWLx4MY4cOYKcnBzo6uqiRo0acr0+h8NB165doaenh2PHjqFTp054/vy51Oenp6ejX79+ePv2LS5fvowaNWpIqhZlGUfGVD2HwuPRa2Mobr5MAYAyE1jR/TdfpqDXxlAcCo+v8L1LGwe2YsUKXLhwAVwuF5mZmRW+PqN4LInJiXjm9927dyvsHvb29li2bBnc3d0VUp04ZcoUhIaGwsrKCjExMejQoQPOnz9f7nn5+fnw9PTEs2fPcOnSJTg4OEj2sUTGlCUg+BkWHX8AvlBUbvL6XIGIwBeKsOj4AwQEP5P53mUNZOZwONDX10dCQgKaNm2Ko0ePynx9RjlYEqsk8ZIl4qmXJk2ahB07dqg4qopzcXFBZGQkOnfujE+fPmHgwIHw9/cvs6SZnZ0NHo+Hs2fPok2bNl/sZ4mMKcmh8Hisu/hULtdad/EpDstQIpN2Jo66devC3d0d48aNQ3R0tFxiZeSLtYnJQXx8PDw9PTF+/HgsW7YM+/btg4eHBwBIehFqmvz8fMyZM0eSkEtrJ+Pz+eDxeFJ9zqLd71kbWdWWkJqDXhtDwReKyjwuP/kVMsJPIi/+AQqyUsHR0YWeWV0YNXeDSeu+0DX8X+cOHlcHl+d1K7eNTNappHJyctC1a1d8+PAB4eHhsLS0lO3DMjJjbWJKdOLECSxbtgwuLi4YOXIkevXqhbp160r2P3/+HP3798eGDRtUGKXs9PX1sX37dgQGBpbaTnblyhXY2dnh1atXUiVqViJjxHyDHkBYTvVhZvQFJO2Zi/ykpzB1Hozaw5aj1uAfYdSsC7KiziPl3G/FjheKCL5BD8q8ZkXmQjQyMsKJEyfA5/MxZswY6T4gozQsiVVCdHQ0fHx8kJaWhi1btqB27dpIT0/Hhw8fABSWZq5evYq4uDhER0ejffv22LRpk2qDllFp7WQvXrzA0KFD0axZM9SvX1/q67FExjx7n4mw5x/LbAPjv32M1H+3wqBBG1iN/w3V2g2EgW0rGDZsC1OXYbCeuh0mrXoXO6dARAh7/hHPk0vuiFGZyXzr1auHEydOwN/fX/oPyigFS2IVtHfvXixYsAAeHh7Iz8+Hm5sb/P398fTpU3Tp0gVAYTXjsWPHsHLlSvz111/YtWsXgoODERAQoOLoZVNSO1nnzp1hbm6OQ4cOydwFuWgiS0xMRHZ2toIiZ9TRgTvx0NUpu+SefvMfgMOBeb9Z4HD1vtjP0dWDUVPnL7br6nCw/3bJbWNv3rwBn8+v8EwcnTp1Qvv27SVfThn1wJJYBfH5fIwfPx5//PEHzp49i59++glnz55F/fr1IRKJkJ+fj0uXLkEgEGDIkCEAgFatWmHmzJk4dOgQEhMTFd4tvzRlrUdWGisrKwQHB2PatGkgIiQnJ6Nx48bQ0/vyASMNV1dXXL58GcHBwWxNsSom+ElymaUwEhUgL/4+9Os0Abe6bL8bBSJC8NPkEveNHz8e58+fr/RMHIGBgejTpw+uXLlS4Wsw8sOSWAVNnTpVUj8uFAoxYMAA7NixA+np6eDxeHj37h2OHz+OcePGASicLgoA2rRpgydPnoDD4aikw8ft27fRpEkTnD17VuZzxe1kP/zwA7hcLv7991+4uLjINJ6sKGdnZ9ZIXsVk8YWITy27+liUmwES8ME1rV2he8Sn5CCbLyxxX9++fSs9lZSPjw969uyJoUOH4sWLF5W6FlN5LInJgbg67cyZMzAzMwOPx8Pp06fB4XAwfvx4AICOTuGP+tChQ+jQoQP4fL5KYvX390dCQgIGDRqE8ePHIy0tTepzIyIiIBAIsGbNGly7dg1WVlZ4+PAhOnTogAsXLigwakZbxKVkQ9H1DwTgdYriqqi5XC4OHToECwsLeHp6IiMjQ2H3YsrHkpgczZs3D2vWrEFsbCy2bt2KHj16SPbp6uoiMzMTV65cgZOTEywsLFQS4+HDhzF//nxwOBzs3bsXjo6OUpXKoqKi0LVrV2zcuBFAYTtZREQEXFxc8OnTJwwYMACrV69WWRUpoxnyy+lSDwA6htXB0eNBmP5eofepjJo1a+LkyZN48+YNDh06pNB7MWVjSUxOiAg8Hg8uLi5o2rQpvLy8cOTIEcycORNxcXG4ceMGRo0ahfz8fHh4eMDExAQFBQVfXEc8ePrQoUNwcnKSeycQQ0NDrF+/HtevX4ednR0SExPLLZXl5eVh9OjRaNasGWbPni3Zbm1tjeDgYEydOhVEBF9fXwwbNgxZWVlyjZnRHvrc8h85HB1dGNi2Rv675xBmfFTYfSqrefPmePDgAaZOnarwezGlY0lMToq2b+nq6sLf3x9hYWGoWbMmhg4dit9//x26urrYvn07OnbsKDnuc+Jqx4MHD8LV1RXBwcFwcXHBli1bAMhvjsbOnTsjOjpaqlLZsmXL8OLFC/z1118wNDQsto/H42HHjh3YsWMH9PT0cPTo0Uq1kzHarYG5MaRpCTZ1GQoQIeXCFlCB4Iv9VCBEzrM7JZ7L+f/7KIONjQ2ICAcOHEBcXJxS7skUx2bsUBCRSCRJSHw+H3w+XxLP06dPERISAm9v72I98woKCqCrq4uTJ08iICAAJ06cgLGxMaKiohAYGIglS5YUG0gtLzdv3sSECRPw9GnhFEDjxo3Dxo0bUbNmTcTGxsLBwQErV66Er69vmde5desWhgwZgqSkJNSoUQMHDx5Ev3795B4vo9m6/RqMuHI6dwCFg51TL26Dnnk9VGs7AHoWNiBRAfLfv0BW9AXoWdjCcsiSL86zNTdC6AJ3RYReouzsbLRo0QJ2dna4ePGiRs7Qo27YjB1qQJzARCIReDweqlX73/Q4AQEB+O+///D27dti54hLZnv37sXTp0+xYMECvH//Hm3btsW2bdtQt25dpKWl4enTpwgKCpJbrGWVyuzt7XHs2DEsXLiw3OuwdjJGGu72luWOEwOAam36wWrcRujXboL020fx/vBP+HDsZ+Q8ugbjFt1h3n/2F+fo6nDgbqfcHq/GxsbYuXMnLl++jMDAQKXem2ElMaV78uQJpkyZggMHDhSb6UJccjt06BAOHTqEBQsW4N9//8XZs2fxww8/YPjw4QgKCsLmzZvB5XJhYGCAly9fwsfHp1g7VWWVVSqTFp/Px5w5cxAYGIjOnTsjODgY+vr6couR0VxEhB0HT2LNg4qNL5TG5Xld0cRSfgtmSmvq1Kk4ePAgHjx4gAYNGij9/tpEluc4S2IqkJubC0NDw2JVjmLe3t5wc3PDvHnzwOFwkJqaCiLC+/fvMWbMGIwYMQITJkxArVq1EBMTAz8/PzRt2hRLliyBsbF82gFyc3MxefJk/P333wAKO3AEBgZi4MCBMl1nz5496Nu3r2Q1aqbqIiKcPHkSy5cvR3R0NJpNDwC/RgPIuPpKmXR1OOjcyBz7Jn05k4cyZGRkoGXLlvD09JS0YTMVw6oT1Zy4c8TnCezIkSNITExEjx49wOFwUFBQADMzM5ibm+Pnn39GmzZtMG7cONSqVQtCoRAODg44ePAgbGxsSuwkUlEcDgdRUVFo1qyZ1D0YSzJ+/HiWwKo4IsKJEyfQrl07eHt7w8zMDKGhobj48wTo6cr38cPV4cDfu6VcrymL6tWr48qVKxo32bemY0lMjXh5eWHTpk2ws7MD8L8k9/79e3z48AEDBgyQzHDB5XJBRNDT08OwYcNgYGAgtzjEvRGPHj0qdQ9GhimqtOR15coVdO3aFfXNjLDc06H8C8lghadDucuwKFqTJk2gp6eHu3fvst6KSsKSmBrR19eHi4uLZI0tcS+n2rVrg8/nIzMzExwORzKFlXi/ubm53GKIjIzEr7/+imXLlsHBwaFC48qYqqu85FXUiA42WNDHTnxmpe77fR97DO9gU6lryItQKMTQoUMxadIk1qlJCVgS0xDOzs6SQcR6enoK++No0aIF1q1bh++//77YdlnGlTFVjyzJq6hZ7k3xg3s9kFAAkGyzbOjqcMDj6mDt4JaY6d6ksh9BbrhcLrZt24YrV66w3opKwJKYhhg5ciR27tyJqVOnIi4uDiKRSLJumbzk5+fD0NAQ8+bNK3F5FVYqYz5X0eRV9PxTGxdBeMoPnRoW9oAtr/u9eH/nRua4PK+b2pTAiurTpw8mTpwIX19fpKenqzocrcaSmIZo164dbt68CSsrK3h6emLRokW4e/fuF8eFhoZ+Mf5MGunp6WjSpIlU489KK5Xdu3dP5vsymqmyyUts9+7duHDhAgI3rMahaa64NLcrxjrbwtbc6IuZPTgoHMg81tkWl+d1xb5JzipvAyvLypUrkZubi3Xr1qk6FO1GWiY9PZ0AUHp6uqpDkauCggLJ/+fk5NCTJ09IIBAUOyY3N5esra1JX1+fZs2aRW/evJH6+kuWLCEDAwOZziEiunHjBtnZ2VGDBg0oMzNTpnMZzSMSiSgoKIjatGlDAKhHjx4UGhpaoWslJCRQ9erVady4cSXuz8oT0MO3n+huXCo9fPuJsvIEJR6nzk6dOkXv3r1TdRgaR5bnOEtiGqZoMvtcXFwcubm5EQpbyaVOZu/evSMjIyP64YcfKhRTTk4OPX78uELnMppBnslLfL1+/fqRtbU1paWlyS9QNcXn81UdgkZhSUyLk1h5RCIRXblyRaZkNnPmTKpRowalpqYqOVpG3ck7eYn9+eefBIDOnDkjhyjVW3h4ONWpU4eePXum6lA0BktiVTiJiUmbzEQiEQ0ePJjWrFmjwmgZdaOo5EVUfjWitsnJyaG6devSiBEjVB2KxmBJjCUxCVmSGaP+FN1OpMjkJb5+VapGFPvjjz8IAEVGRqo6FJmIRCL6999/6fbt25L3yiDLc5zNnVhFEBGCg4OxbNkyhIWFASgcb9arVy8EBgaiXr16Ko6QKc2z95k4cCcewU+SEZ+aU2xYMAeAjZkR3O0tMdrZBk1rV2ziW/psbsMePXrAz89Ppp6G0ti1axcmTZqEM2fOyDwXpyYTCoVo2bIlbG1tceHCBVWHU66goCCcOXMGkZGRaNSoERYsWIDOnTsr7f5s7kTmCxwOBz169JB0g3Zzc4NAIMD58+fRuHFjzJ49u0Jd8xnFSUjNwdg/76D3pmvYdycOcZ8lMKCwaB2XmoN9d+LQe9M1jP3zDhKkWKtLcr6cuspL482bN5g3bx7GjRtXpRIYUDgAetWqVfj06RMyMzNVHU6ZAgICMGrUKHTq1AmhoaE4fvy4UhOYrFhJrIoKDg5Gjx490Lx5czx+/BhA4bRXU6dOxaJFixSy+CYjvUPh8fA7FQOhiFAgw1TvujoccHU4WO7pgBFlDAJWVsmr6P0GDBiA+/fvIyYmBjVq1FDIfdSZ+FGrLotmEhHOnDmD/fv3IycnBx06dMCwYcPw9u1b7N27FwEBAahevToePnyImzdvonPnznB0dFRKbKwkxpTrp59+Qvv27fHw4UNJySw/Px8BAQFo1KgRK5mpUEDwMyw6/gB8oUimBAYABSICXyjCouMPEBD87Iv9yix5FSUZ1BwYWCUTGFCYvDgcDq5fv47r16+rNJatW7eiQYMG2LNnD/r37w9/f3/cuXMHCxcuRHR0NGxtbdGvXz/07dsX48ePx9u3b1G7dm2VxlwaVhKrgiIjI9G+fXucOHECXl5eAEpuM2MlM+U7FB6PRccfyO16awe3xPAONkoveRX15s0bODg4wNvbG3v27FH4/dRdly5dYGhoiMuXL6sshitXruC3337DqVOnJNsyMjLw22+/4dy5c5gyZQrWrl2LAwcOoH379kqPT+1KYlu3bkXDhg1hYGAAJycnyUOyJCEhIZJvLEVfsbGxygi1SrC3t8euXbswaNAgybaS2sxYyUy5ElJz4Hcq5ovtWfcvI27NoP+9fvVGwpYxePf3YqTf+gcF2Z9KvebSUzH485DyS15iRIQpU6bAxMQEmzZtUvj9NMHMmTNx5coVlT7TXF1dERsbi9evX6OgoABA4XpoPXv2RHZ2NjIyMuDq6go9vZJX4Fanso/Ck9jhw4cxd+5c/Pjjj4iKioKbmxv69++P+Pj4Ms978uQJkpKSJK+mTZsqOtQqw8TEBBMmTChxIc3ykpkqvz1qO9+gBxCWUX1oPmAu6oxdh9ojVsKs93ToWzZC+u1jSPxjOnJfR5d4Dj9fAN8TD5SevMRYNeKXhgwZglq1amH79u0qi4HH46FNmzYICwsr9hyoU6cO7OzskJ2djTp16uDmzZsAgEuXLmH69OlYuHAhAPVp1wOUkMQ2bNiASZMmYfLkyWjevDk2bdqE+vXrY9u2bWWeZ2lpiTp16khe8ly5uCrbtm0bpk+fXu43qZKSWfXq1eHi4qKkSKuWZ+8zEfb8Y5ltYHq1bMGr2wwG9R1h3KwLzHpNgfXELeDoG+DD8VUoyC5hJQEdXRg2bIcdB08oNXkBVbs3Yll4PB4mT56MPXv2IDs7W2VxTJ8+HadPn4ZAIIBQKAQAJCcnIyoqCl999RXMzMzg6+uL9u3bY+PGjXB0dPxiiSZ18OV6G3KUn5+PyMhILFq0qNj2Pn36SDJ8adq2bYu8vDy0aNECS5Ysgbu7e4nH8fl88Pl8yfuMjIzKB66lRCIRNm7cCCcnJ6m/SYmTmbu7OxITE2FsbKzgKKumA3fioavDkbkjB9fUEjV7TMLHE2uQGXUBNVxHfnGMrg4H+2/HY5mcV1IuC6tGLNu0adNgZGQkqcpThc6dO2Pq1KnIy8tDtWqF4wuvX7+Ofv36oUWLFsjPz4eFhQX69OkDKysrlcVZHoUmsY8fP6KgoOCLXi21a9fGu3fvSjzHysoKgYGBcHJyAp/Px759+9CzZ0+EhISU+E1y9erVWL58uULi1zZXr17Fs2fP8Oeff8p8LofDYZ07FCj4SbLMCUzMsFF7gKMDfsLDEvcXiAjBT5OxDMpLYuJqxDNnzrBqxBLY2tpiyZIlKo2Bx+Ohbdu2WLZsGfh8PoKDg9G4cWOsX78eHA4Hbdu2Rdu2bVUaozSU0rHj82/9RFRqScDe3h5TpkxBu3bt4OLigq1bt2LgwIGlrsmzePFipKenS14JCQlyj19bbN26FS1btoSrq6uqQ2GKyOILES/DAOXP6egbQMeoOgqyUks9Jj4lB9l8YYXvIQtWjSidnJwcLF68GP/995/KYpgzZw5u3LiB5s2b4/Llyzh16pTG9T9QaEnMwsICurq6X5S6kpOTZRpz0KlTJ+zfv7/EfTweDzwer1JxVoQ4EfP5fJXcX1YpKSk4c+YMNm/erFaNsgwQl5L9xUwcMivnAgTgdUo2HKxNK3unsu/DqhGlZmBggH/++Qdv3rzBvn37VBKDq6srbt++rZJ7y4tCS2L6+vpwcnLCpUuXim2/dOmSTNOYREVFqWWdbFhYGL777ju0bt0ao0ePxo4dO5CcnKzqsEpkbm6Ox48fY8yYMaoOhflMvlBUqfNF+XkQ5WZA18RMofeRxp49e1hvRCnp6Ohg+vTp+Oeff/Dhwwepz/v06RP++uuvCjULaCOFVyfOnz8fO3fuxK5du/D48WPMmzcP8fHx8PHxAVBYHfjNN99Ijt+0aRNOnDiBZ8+eISYmBosXL8axY8cwa9YsRYcqk71792LatGmoV68ezp8/j4EDByI0NBRbtmzBjRs34OHhgV27duHVq1eqDhVCoRAFBQVo3LgxTExMVB0O8xl9buX+DHNfhAMkAs+mpULvU543b95g7ty5rBpRBhMmTACHw8GuXbvKPE6cuDw8PGBpaYlx48bBz88PIpHiv5ioO4VWJwLA8OHDkZKSghUrViApKQmOjo44d+4cbG1tAQBJSUnFxozl5+djwYIFePv2LQwNDeHg4ICzZ89iwIABig5VaikpKdi5cycmTZqE7777DgAwatQofPXVV3j9+jVOnTqFyMhI2Nvb448//kB2djZGjBgBX19flcR7/PhxyXQy7Nux+mlgbgwOyq0RLJEwPRlpwbvA4RmjWtv+pR7H+f/7KErRasSNGzcq7D7axtzcHCNGjMD27dvx/fffQ0fnf180Pn36hFOnTuHIkSP4999/IRAIJPtatGiBoUOHgs/nw9DQUBWhqw2FJzEAmDFjBmbMmFHivs+noVm4cKFkQJ26iomJgUAgkEzZVFBQACKCkZERWrRogdmzZ2Pnzp2SxBsfH4/09HQAhd3ci/6iKsPRo0dRq1YtlsDUlDGPCxszI8SV07lD8CEOEBWARAUQ5aQjLyEGWQ8ug8PRgeXgH6FrVHp7l425EYx5ivtzF1cjnjlzBjVr1lTYfbTRkiVL4OPjAw6HI1XiGjp0KBwclNfTVN0pJYlpm5ycHLx79w5NmjQBAMlAbJFIhPT0dMTExODgwYPgcrno0KEDbGwKZxMnIqUnsPz8fFy4cEHtvxhUde72lth3J67MbvYp5zYV/o8uFzo8E+iZ14NppyEwad23zASmq8OBu52lnCP+H1aNWDkWFha4efMmVq1axRJXBbAkVkGGhobIysqCsbExCgoKoKurCx0dHTx48AAikQguLi7Yvn07Fi9ejI4dO2Lr1q0q6RUYGhqKzMxMeHp6Kv3ejPRGO9tgz63XJe4zadULJq16VfjaBSLCmE6lL8tSGawasWJYiUt+WBKrgC5duqBr167YsmULFi9eDC6XC4FAAC6Xi+DgYLi5uRWrQn3z5g04HE6Z4+MUJTg4GDY2NmjZsuxGf0a1mtauBrcmFrj5MqXCg55LoqvDQedG5mhiWbEVn8vDqhGlV1biqlevHt68eYOLFy+id+/eKoxS87D1xCqgWrVqkpmoHR0dMWTIEMybNw+PHz/GnTt3MGTIkGLH16tXD4BqJs1ctWoVbt++zcaGaQB/75bg6sj334mrw4G/t2K+wLBqxPKV1KvwzJkzEAgEaNGiBfz8/PDw4UM8fPgQXC4XT58+VXXIGoetJ1ZJKSkpCAkJQVpaGrp164YOHTrAyckJI0eOhIuLi0qrA1TRiYSpHEWtJyZvRVdqfvjwISuFfebYsWPYs2ePTFWFvXv3ho6ODv79919lh6t2ZHmOs+rESjI3Ny9W8nrx4gWuX7+Oq1evYu/evcjJyUFYWBiMjIyUHpu/vz+uXr2KK1eusJKYhhjRwQYfs/hYd7Hy38i/72OvkAQGsGrE8pw/fx5nzpwBIH0bl6enJ7777jtkZGSwBX1lwEpiSoinsnHk5eXBz88P3bp1g6urq9TX69ChAxo2bIh//vmnUvdnlO9QeDz8TsVAKCKZ2sh0dTjg6nCwwtNBYQmMrdRcvps3b+LixYsydc5ISkpCeHg4+vbtqxFT2SmSLM9xlsQ0QEhIiGQpGh0dHTg5OaF79+7o3r17qUktMTERdevWxb59+9hUUxoqITUHvkEPEPb8Y7nLtIj3uzWxgL93S9Q3U0zJn1UjMsrAqhO1TM2aNTF58mSEhITg+fPnCA8PR3h4OH799ddSk9qZM2egq6urVjOdMLKpb2aEfZOc8ex9Jg7ciUfw02TEp+QUm9mDg8KBzO52lhjTyUZhvRDFWDWiYt29excbNmzAnj17wOWyx7M0WElMw7x58wahoaEICQmRJLWixEktPT0d+vr6uHHjhlb+HKqqbL4QF25EYtSYb/D3/r/Qr4uTQmfiKIpVIypeeHg4OnbsiNDQUKWvxK1OWHWiFiexz0mb1MqrfmQ0x927d+Hk5ITIyEi0a9dOKfdk1YjKIRKJYGVlhcmTJ2PVqlWqDkdlWHViFVKvXj2MHj0ao0ePBlByUpOm+pFhysKqEZVDR0cHzs7OiIiIUHUoGoMNItIy9erVg66uLuLi4hAbG4uEhATs378fkydPRpMmTSASiSQJbeDAgahZsyY6duyIhQsX4sKFC6oOn1FDbFCzcolL2VpWSaYwrCSmhcLCwvDmzRvo6urKVFK7evUq+vXrp+LoGXUimRuxhjl8Fv2MqPg06HN10MDcWGltcVWNt7c36tWrh4KCAta5QwrsJ6SFIiMj4eTkVOK+spKavb29MsNk1Nyz95n4cc8F3LcdDL021hix955kHweAjZkR3O0tMdrZBk1rK7ZXZFXSqlUrtGrVStVhaAyWxLSMQCBAdHQ0RowYIdXxnyc1hik6Po1EPOjVtP7iGAIQl5qDfXfisOfWa4WPT6tqTp8+zYbISIm1iWmZR48egc/nl1oSY5iyHAqPR6+Nobj5MgUAwNHRLfN48QDsmy9T0GtjKA6Fx5d5PCOdP/74A5s2bVJ1GBqBJTEt07BhQ5w4cUJpXa8Z7REQ/AyLjj8AXyiSeTmYAhGBLxRh0fEHCAh+pqAIqw7WuUN6rDpRy1SvXh1eXl6qDoPRMIfC40uddDjr/uX/rSr9meodvVGzx6Ri29ZdfIpaJjyFzd1YFTg5OSE1NRVxcXFo0KCBqsNRayyJaZnly5fDxcUFffr0UXUojIZISM2B36mYco8zHzAXeub1im3TNTEr8dilp2LQubEFayOrIHFzQGRkJEti5WDViVpEIBBg9erVePTokapDYTSIb9ADCKWoPtSrZQte3WbFXlxTyxKPFYoIvkHyWxetqrGyssI333zDBpZLgZXEtAjr1MHI6tn7TIQ9/yj36xaICGHPP+J5cqbCJyXWVnv37lV1CBqBlcS0iLgExsaYMNI6cCceujpSLphKIpCooNirLLo6HOy/zXorVlRqaioiIyNVHYbaYyUxLZKYmAgTExOYmpqqOhRGQwQ/SZa6J+K7v777YpvNwpOldsMvEBGCnyZjGaRbFJIp7vDhw5gzZw74fD50dFh5ozQsiWmRtm3bYuHChaoOg9EQWXwh4lNzpD7efNB86JnXL7atvHFk8Sk5yOYL2RRVFWBlZQWhUIiPHz/C0rLktkeGJTGt0qNHD/To0UPVYTAaIi4lG7KMQtIzrw+eVVOZ7kEAXqdkw8Ga1Q7Iytq6cKaUxMRElsTKwMqoWuTmzZt48eKFqsNgNES+UKRV99E2VlZWAICkpCQVR6LeWBLTIhMmTMDWrVtVHQajIT6lyL9XYkn0uewxUxF16tRB9erVkZmZqepQ1BqrTtQiSUlJkm9vDFMWIsLanxaAHKeAw5Gyd2IFcAA0MDdW2PW1mZ6eHtLT01UdhtpjX5G0RFZWFjIzMyX16AxTlj179uDfs6dQy1BxCQwAbMyNWKcORqHYb5eWENebs5IYU56iKzU3aNsA++7EldnN3qRVL5i06iXzfXR1OHC3Yx0SKmPGjBnIzc3F7t27VR2K2mIlMS2RnZ2NRo0aoW7duqoOhVFjRISpU6fCxMQEGzduxGhnG5lnrJdWgYgwphObBLgy+Hw+Hj9+rOow1BoriWmJNm3asJ6JTLn27NmD8+fP48yZM6hZsyZqAnBrYoGbL1Pkmsx0dTjo3MicTTlVSVZWVrh06ZKqw1BrrCTGMFVE0WrEgQMHSrb7e7cEV9qpp6TE1eHA37ulXK9ZFVlZWSEpKQkiERumUBqWxLTE0qVL0bFjR1WHwaipz6sRi6pvZoTlnvKdGmqFpwNbhkUOLC0tIRQKWS/FMrDqRC2Rm5vLftGZUn1ejfi5ER1s8DGLX+rCmLL4vo89WxBTTrp3747g4GCYmJioOhS1pZSS2NatW9GwYUMYGBjAyckJYWFhZR4fGhoKJycnGBgYoFGjRti+fbtc42nQoAGaNWuGNm3aoHnz5hg1ahSys7MBACEhITAyMkLbtm3h4OAABwcHzJ8/H2lpaVJdu3v37mjUqBHatGkjeV2+fLnEfZ6ennL7TEKhEFwu+07CfKm0asTPzXJvijWDW4LH1ZF+Zvv/p6vDAY+rg7WDW2Kme5PKhsz8v1q1aqF79+7Q09OT2zW17fmn8CR2+PBhzJ07Fz/++COioqLg5uaG/v37Iz6+5CUaXr16hQEDBsDNzQ1RUVHw9fXFnDlzcOzYMbnGdfToUURHR+PRo0fIyMjAnj17JPtatGiBqKgoxMTE4Pbt28jJyUHPnj1RUFD20hNimzdvRnR0tOTVq1evEvedOnVKbp+HJTGmJGVVI5ZkRAcbXJ7XDZ0bmQNAuclMvL9zI3NcnteNlcDk7Pnz51i8eLHUSURa2vT8U/hTb8OGDZg0aRImT54MANi0aRP+/fdfbNu2DatXr/7i+O3bt8PGxgabNm0CADRv3hwRERFYt24dhgwZIvf4+Hw+srOzS11BtVq1atiyZQuaNGmCCxculPlNVl6ICDk50s8uDgA5OTngcDiSb1TSMjIyUuiMDYxqlVeNWJL6ZkbYN8kZz95n4sCdeAQ/TUZ8Sk6xyYI5KBzI7G5niTGdbFgvRClU5O/6yZMnWLNmDUaPHg19fX2ZzpXmb1sdn38yIwXi8/mkq6tLx48fL7Z9zpw51LVr1xLPcXNzozlz5hTbdvz4ceJyuZSfn//F8Xl5eZSeni55JSQkEABKT08vNS5bW1uyt7en1q1bU/Xq1cnd3Z0EAgEREQUHB5OTk9MX53h6etLatWvL/czdunWjhg0bUuvWrSWvV69elbgvICCgxGtkZWURCicAV/grKyur3M/EqJfIyEgCQJGRkWUel5CQQNWrV6dx48ZV+p5ZeQI6euU26VvZ0dErtykrT1Dpa1Y1yvy7LutvW92ff0RE6enp5T7HxRRaEvv48SMKCgpQu3btYttr166Nd+/elXjOu3fvSjxevK7O5zNSrF69GsuXL5c5tqNHj8LR0RFCoRDTpk3DDz/8gPXr15d6PJH0Y2g2b96MQYMGybyPYeSFZKxGLI8xj4uGNfSQn/QUDWvosamkNJw2Pf+U0rHj8yItEZVZzC3p+JK2A8DixYuRnp4ueSUkJMgUG5fLxZAhQ3DhwoVSjxEIBIiOjoajo6NM164oIyMjZGVlyfTas2cPVq1aJfN5RkasG7Q2ElcjBgYGSl2NyChWRf6uxc+lqKgohfxtq+PzT1YK/TplYWEBXV3dL0pdycnJX5S2xOrUqVPi8VwuF+bm5l8cz+PxwOPxKhXn1atXYW9vX+K+rKwsLFiwABYWFujbty+AwsRZt25dzJo1q1L3LQ2Hw4GxsWwzf9++fRvh4eHw9fVVSEyMesjmC/HqkwD6VnZ49UkA+xJWTZa2NyKjXBX5u7a1tcXEiRNhbW0t87nSUrfnn6wUmsT09fXh5OSES5cuwdvbW7L90qVL8PLyKvEcFxcXnD59uti2ixcvon379nLtZvr111/DwMAAAoEADRo0KNaN/9GjR2jTpg0EAgGICH379sWVK1egq1u4FPv9+/fh5ORU6rXnzJmDJUuWSN4vXrwYw4cPl1vsJeFyuRAIBAq9B6Makg4WT5IRn1rYwcJq3AZ8d+kjFlz6FzZmRnC3t8RoZxs0sTSRazUio1rNmjXDn3/+KffratPzT+EV2/Pnz8fYsWPRvn17uLi4IDAwEPHx8fDx8QFQ+AHfvn2Lv/76CwDg4+ODgIAAzJ8/H1OmTMGtW7fw559/4uDBg3KL6fXr16Xu6969e5k9iEQiET5+/IjBgweXuD8kJKTUc8vaV1lcLhdCoVBh12eULyE1B75BDxD2/CN0dTglzm1IAOJSc7DvThz23HqNRkZ8hN28ixMH/mTViFogIyMDb968gZ2dndyG0Gjb80/hSWz48OFISUnBihUrkJSUBEdHR5w7dw62trYACpcQKTpmrGHDhjh37hzmzZuH33//HdbW1ti8ebNCutdXhI6ODu7cuaPqML6gp6fHkpgWORQeD79TMRD+f+Iqb3Je8f4XWVzU99mBTEs2b6E2CA4OxldffYXk5GTUqlVL1eGo5fNPKV2MZsyYgRkzZpS4r+ggO7Fu3brh7t27Co5Ku7i5uaF69eqqDoORg4DgZxWe/omjowsRgEXHH+BjFh+z3JvKNzhGqfh8PgDItSlF27B+slrCw8MDHh4eqg6DqaRD4fFymb8QANZdfIpaJjw2i4YGS05Ohp6eHkxNTVUditpiSUxLZGZm4t69e+jQoUOle2syqpGQmgO/UzEl7su6fxkp5zYV26ZjWB16Fjao7jwYRk1KXsFg6akYdG5swWaU11BJSUmwsrJis+qUgS3FoiWio6Ph5uaGly9fqjoUpoJ8gx5I2sBKYz5gLuqMXYc6Y3+Feb9Z4Ojo4MPRFch5VnI7hVBE8A16oIhwGSXIzMxEvXr1VB2GWmNJTEuIZzJJSkpScSRMRTx7n4mw5x/L7cChV8sWvLrNwKvbHEb2nVHraz9AVw/Zj6+VeHyBiBD2/COeJ2cqImxGwTZv3ozr16+rOgy1xpKYlhAnscTERBVHwlTEgTvxMi9/AgAcrj44ulxwdHRLPUZXh4P9t0teNYJRf6wqsWwsiWkJY2NjVK9enZXENFTwk+RyS2EAABKBRAWgAiGEGR+RdjkQJODDuEW3Uk8pEBGCnybLMVpGWTp27Ii9e/eqOgy1xjp2aJEWLVpIveYPoz6y+ELEp0q3RMe7v74rvkFXD2a9fWDYqPQZFAAgPiUH2SVMUcWor/z8fISHh7O/6XKw32gtcuvWLVWHwFRAXEo2pJ0j3HzQfOiZ1wcAiHIzkPP0FlIvbgNRAao7lT7EggC8TsmGgzXrqq0pxHPIWltbqzgS9caSGMOoWL5QJPWxeub1wbP63wBmw0ZOEKYn41PwHpg4uEPHwEQu92FUT9w08PnyU0xxrE1Mi/zyyy9o3769qsNgZKTPrdyfob5lA5CQD0HqW4Xeh1EucSctVhIrG/ut1iJcLhexsbEyLWDHqF4Dc2NUpv9Z/vtXAAAdo9KrCjn/fx9Gc3Tu3BmnTp0qcQkq5n9YdaIWqVu3LrKzs/Hp0yc2g7kGMeZxYWNmhDgpOncIPsQBosKG/oLcTOQ8vYm811EwtHOBXo06pZ5nY27EOnVomNq1a7Op5KTAfqu1iIODA4DC9X66dSu9yzWjftztLbHvTly53eyLTj3F4RmDa1obNXtMRrV2pS9+qavDgbudpbxCZZRk06ZNaNy4MUtk5WBJTIs0a9YMhoaGiIyMZElMw4x2tsGeW69L3W/SqhdMWvWq0LULRIQxndgkwJqEiLBmzRpMnjyZJbFysCSmRbhcLq5duwY7OztVh8LIqGntanBrYoGbL1OkG/QsJV0dDjo3MkcTy2pyuyajeImJiXj//n2ZKygzhVjHDi3Tvn17tq6YhvL3bgluBaaeKgtXhwN/b7ZApqaJjIwEANbbWAosiWmZ+/fvw9vbG5mZbMJXTVPfzAjzu8p3xvIVng5sGRYNFBkZiVq1arEZ7KXAkpiW0dHRwYkTJxAVFaXqUBgZJSUlYdOcYSiIOiGX66WF7sWLS/vlci1GuTp06IBFixaxyX+lwNrEtIy4c0dERAS6du2q6nAYKSUlJaFHjx7IzMxE8JaFiPzEg9+pGAhFJFMbma4OB1wdDlZ4OuCJoSN+/PFHAICvr6+iQmcUYNCgQaoOQWOwJKZluFwu2rRpI6lTZ9RfsQQWHIymTZuiKYAujS3gG/QAYc8/QleHU2YyE+/v3Mgc/t4tC6sQOywFAJbIVCg7Oxs9e/aEm5sbunfvDldXV5ialj1/ZWpqKkJDQ9G7d2+YmJQ+jRhTiCUxLeTk5IRLly6pOgxGCiUlMLH6ZkbYN8kZz95n4sCdeAQ/TUZ8Sk6xyYI5KBzI7G5niTGdbL7ohbh0KUtkqnTz5k3cuXMHd+7cwbp166CjowMnJyd0795dktQ+74h1/fp1DB48GHFxcSyJSYElMS00duxYdOrUSdVhMOUoK4EV1bR2NSzzdMAyOCCbL8TrlGzkC0XQ5+qggblxuTNxsESmOm3btsW+ffsQEhKCkJAQvHjxAuHh4QgPD8evv/5aYlITd+qoX7++qsPXDKRl0tPTCQClp6erOhSGKVViYiI1a9aM6tatS0+fPlXKPZcvX04AaNWqVRU6PzIykgBQZGSknCOrOuLj42nfvn00adIkaty4MaFwlRzJS0dHh0xNTalhw4Z09uzZKvsck+U5zkpiWur48ePQ19dnDcRqSNoSmLyxEpnq1a9fH2PGjMGYMWMAAAkJCQgNDS1WUktPT0d6ejoGDhwoVfVjVcch0q4pzzMyMmBqaor09PQq/Y/91VdfISUlBWFhYaoOhSlCVQmsqBUrVsDPzw+rVq2SKZHdvXsXTk5OiIyMRLt27RQYYdUVHR2NsWPHomHDhnj06BFevHhRbH9VSWqyPMdZSUxLeXp6YsqUKfjw4QNq1aql6nAYqEcCAypWIsvmC/HqkwD6VnZ49UkAe76QzYqvAG3atMGDBw8k70sqqZXUptarVy+sWrWqSo4rYyUxLfX+/XtYWVlh9+7dGDdunKrDqfLUJYEVVV6JTNIr8kky4lNL6BVpZgR3e0uMdrZB09psbkZ5uHnzJjp06AA9Pb0S95eU1ACgU6dOuHXrVqXvT0TgcDjg8/ng8XiVvl5FyfIcZ0lMi7m4uMDa2hrHjh2T6vhPnz7h1KlTuH37NrZu3arg6KoOdUxgYiUlsoTUHJnHp7k1sfjf+DSmQl68eIEmTZrg2LFjGDx4sFTnvHnzBqGhoTA0NJT6nLIQEa5fv47Dhw8jLCwMjo6O6Nq1K7y9vWFpqbzlfFh1IgMAmDdvXrlzKIoT15EjR3Dx4kXk5+cDAGbOnClZn4ypOHVOYMCXVYuNeo+RzBQCoNzZQsT7b75MQa+NoVju6YARHdiyLxVx+vRp6Ovro0+fPlKfU69ePYwePVpuMezduxe//PILvvnmG5w/fx4hISE4c+YM3rx5g379+mHNmjXw9vaGu7s7GjZsKLf7VgZLYlps2LBhJW4vLXEBQIsWLTB06FC2MrQcqHsCExMnsrVn7qFmZusKXaPg/6fHWnT8AT5m8THLXT0/qzo7deoUevbsqbIBzikpKdi5cycmTZqE7777DgAwatQofPXVV3j9+jVOnTqFyMhI2Nvb448//kB2djZGjBih8l6uLIlpuZs3b+Lt27fo3bt3uYlr6NChrPQlJ5qSwMTs+o9HzdwH5R8ohXUXn6KWCQ/DWYlMamlpabh27RoCAgJUFkNMTAwEAgG8vLwAAAUFBSAiGBkZoUWLFpg9ezZ27tyJAQMGAADi4+ORnp4OABCJRNDRUc188iyJabH09HQsX74c165dg0gkYolLSTQtgSWk5sDvVEyJ+7LuX0bKuU2lnlt7pD8MbFt9sX3pqRh0bmzB2sik9ObNGzg6Oqp0XGdOTg7evXuHJk2aAAB0dXUBFCao9PR0xMTE4ODBg+ByuejQoQNsbAq/pBCRyhIYwJKY1klPT8epU6fwzz//sBKXCmhaAgMA36AHkjaw0pgPmAs98y/XttKzKLm0JRQRfIMeYN8kZ7nEqO1atmyJ6OhoVYcBQ0NDZGVlwdjYGAUFBdDV1YWOjg4ePHgAkUgEFxcXbN++HYsXL0bHjh2xdetWlXfrZ0lMC5SVuJo3b46XL19i0qRJ+P3331UYpfbTxAT27H0mwp5/LPc4vVq24FlJ/3kKRISw5x/xPDnzi0mJmeLy8/Px9OlTODg4qDQhdOnSBV27dsWWLVuwePFicLlcCAQCcLlcBAcHw83NDTNmzMCMGTMAFJYeORyOpFu+qrBFMTVUeno69u3bBw8PD1haWuKbb77BmTNnkJ+fjxYtWsDPzw8PHz7Eo0ePMHjwYLmMIWFKp4kJDAAO3ImHro5iHkC6Ohzsvx2vkGtrk2vXrqFly5a4f/++SuOoVq0aZs6ciStXrsDR0RFDhgzBvHnz8PjxY9y5cwdDhgwpdrx41WlWEmNkEhoainXr1slUVTh+/Hjcvn1bUj3AyJemJjAACH6SLN2imyQCiQq+2MzRKf33qUBECH6ajGVgVddl2b17N5o0aYJWrb5sW1S21q1b4/Lly0hJSUFISAjS0tKgp6eHmzdvgs/nIycnBy4uLmrVHMGSmIZ59+4dzpw5A0D6Nq4+ffrINPaEkZ4mJ7AsvhDxqTlSHfvur+++3MjRge0Pp8o8Lz4lB9lsiqpSJScn48iRI1izZo3KSzRFmZubFyt5vXjxAtevX8fVq1exd+9e5OTkICwsDEZGqu+4o9DfrLS0NMyZMwenThX+ont6emLLli2oUaNGqeeMHz8ee/fuLbbN2dkZt2/fVmSoGmPgwIHw8/OTuXPGx48f8dtvv2HBggXlrizLSEeTExgAxKVkQ9rpeswHzYee+WfrW0nx0CUAr1Oy4WDNfudK8ueff0JXVxfjx49XdShlMjc3h5eXl6T7fUZGhlokMEDBSWzUqFF48+YNLly4AACYOnUqxo4di9OnT5d5Xr9+/bB7927Je319fUWGqVBEhEuXLsHU1BTOzs6VbgQ1MTHBsmXLZD5PIBBgzZo1sLS0xOzZsyt8f6aQpicwAMgXiqQ+Vs+8vkwdOyp6n6qGy+VixowZMDMzU3UoMlGnKf0UlsQeP36MCxcu4Pbt23B2Luxm+8cff8DFxQVPnjyBvb19qefyeDzUqVNHUaEpRVBQEM6cOYPIyEg0atQICxYsAKC6RlArKysMHjwYW7duxaxZs9Sq6kLTaEMCAwB9rnL6dSnrPpro+++/V3UIGk9hv123bt2SlD7EOnXqBFNTU9y8ebPMc0NCQmBpaQk7OztMmTIFycnJpR7L5/ORkZFR7KVqAQEBGDVqFDp16oTQ0FAcP34cnTt3VnVYmDFjBmJjYxESEqLqUDSWtiQwAGhgbgxFf5Xh/P99mC8dOnQIHz58UHUYGk9hSezdu3clznpsaWmJd+/elXpe//79ceDAAVy9ehXr169HeHg4evToAT6fX+Lxq1evhqmpqeRVv379Eo9TBCLC6dOnMXz4cHh4eGDFihWIjY1F8+bNMXToUAwfPhympqZ4+PAhAgMD8fDhQ6XFVpKuXbuiRYsWbIb6CtKmBAYAxjwubKScUUPwIQ78t7FfvApy0ss8z8bcSKs7deTm5uLt27cyn/fixQuMHDkSZ8+eVUBUVYvMv13Lli3D8uXLyzwmPDwcQMlVZ+W1CQ0fPlzy/46Ojmjfvj1sbW1x9uzZEpcaWLx4MebPny95n5GRoZREtnXrVqxduxbt27eHh4cHnJycsGjRIkRERKBbt26wtbVFv379UK1aNaSkpGDgwIGoXbu2wuMqC4fDwaZNm1CtGht8KittS2Bi7vaW2Hcnrtxu9qVNPWXWfzaqte5b4j5dHQ7c7ZS3fIcq7NixAz/88AOmTp2KRYsWoW7dulKdt337dtSsWbPY846pGJmT2KxZszBixIgyj2nQoAHu37+P9+/ff7Hvw4cPMj3MraysYGtri2fPnpW4n8fjqWTxNnt7e7Ru3brYWl0HDx7Eb7/9hqNHj2LKlClISUnB5s2b0b59e6XHV5revXurOgSNo60JDABGO9tgz63Xpe43adULJq16VejaBSLCmE7aPQnwzZs3kZ+fj4CAAAQGBkqVzHJzc7Fr1y5MnDgRhoaGSoxWO8lcnWhhYYFmzZqV+TIwMICLiwvS09Px33//Sc69c+cO0tPTZWofSklJQUJCAqysrGQNVaFcXV0RGxuL169fo6CgcBBo9erV0bNnT2RnZyMjIwOurq6lrtCqyrVIb968iUGDBkEgEKgsBk2hzQkMAJrWrga3JhZyn7VDV4cDtyYWWj/l1OHDh3HlyhW4ublJklmjRo0we/bsUqsZ//nnH6SmpsLHx0fJ0WonhbWJNW/eHP369cOUKVNw+/Zt3L59G1OmTMGgQYOK9Uxs1qwZgoKCAABZWVlYsGABbt26hdevXyMkJAQeHh6wsLCAt7e3okKtEB6PhzZt2iAsLKzYLBh16tSBnZ0dsrOzUadOHUknlkuXLmH69OlYuHAhANVO1WJiYoKzZ8/i5MmTKotBE2h7AhPz924JrpyTGFeHA3/vlnK9pjricDjo0aMHQkNDpU5mzZo1w4oVKySzxTOVo9C+rwcOHEDLli0lM0a0atUK+/btK3bMkydPJGvS6Orq4sGDB/Dy8oKdnR3GjRsHOzs73Lp1Sy3bcaZPn47Tp09DIBBAKBQCKByBHxUVha+++gpmZmbw9fVF+/btsXHjRjg6OqpFl9pWrVqhe/fu+PnnnyESsTE8JakqCQwA6psZYbmnfKcRWuHpUKWWYZElmTk7O+Onn35SccTag0OqrNdSgIyMDJiamiI9PV3hA/L4fD4cHR1x9+5dSZJdt24dXr16hYCAAERHR+P+/fvo06eP2lWH3rx5E126dMGBAwcwatQoVYejVqpSAisqIPgZ1l18WunrfN/HHjPdq3Ypg4gQHByMZcuWISwsDEDhpA0NGzbEL7/8Ak9PTxVHqN5keY6zJFZJw4YNQ/369cHn8xEcHIzGjRtj/fr1GvHg8/LyQnp6Ohs3VkRVTWBih8Lj4XcqBkIRSTcx8P/T1eGAq8PBCk8HtqJzESUlMz09PUybNk2m3oxVDUtiSkxi169fx4IFCzB27FgMHjxY7UpcZXn//j1MTU1hYGCg6lDUQlVPYGIJqTnwDXqAsOcfoavDKTOZife7NbGAv3fLKlWFKAs+n4+GDRuCz+cjNTUVQGHJTNau+VUFS2JKTGLa4OXLl7C0tISJiYmqQ1EZlsC+9Ox9Jg7ciUfw02TEp+QUmyyYg8KBzO52lhjTyUbreyFWlni6t+joaHz8+PGLakaWzIpjSYwlMallZGSgXr16+P7776tsYzNLYOXL5gvxOiUb+UIR9Lk6aGBurNUzccgTEaFdu3Zo1aqVZIWO0trMWDIrxJIYS2IymT9/Pnbu3ImXL1/CwsJC1eEoFUtgjDJkZWUhLy/vi78vlsxKJstznE0vzcDX1xcA4O/vr+JIlIslMEYaRFTupOWlSUtLw9u3b2FiYlLiF8TyuuaXN8WflpVBKoQlMQYWFhb4/vvv8fvvvyMuLk7V4cgsmy9ETGI6ouLTEJOYjmy+sNxzWAJjpBUYGIguXbpgwoQJ+PTpk0znrlq1Ck5OTqVOYC5WWjIrbwFbDocDkUhUbP3FqoZVajMAgHnz5iEhIQE6OprxvUbS6eBJMuJTS+h0YGYEd3tLjHa2QdPaxTsdsATGyCIxMREcDgd79uzBxYsX8ccff2DAgAHlnhcfH4+AgAD4+vpKPb+rOJm5u7sjJCQEnTp1KvE4kUgEHR0dhIWF4cyZM/j111+Rn5+PadOmyfTZtAFrE2M0SmW7f7MExlTEzZs3MWHCBDx9WjgYfPz48di4cSNq1KhR6jljxozBxYsX8eLFC4XMOBQfHw9PT0+MHz8ey5Ytw759++Dh4QGg/NVC1B1rE2Mq7MqVK+jbty/y8/NVHcoXDoXHo9fGUNx8mQIA5Q7GFe+/+TIFvTaGYselByyBMRXSuXNnREdHY/78+ZJSmYODA86dO1fi8adPn8aBAwfwyy+/KCSBnThxAsuWLYOLiwtGjhyJXr16FesE8vz5c/Tv3x8bNmyQ+73VDUtiTDHm5ua4evUqVq1apepQigkIfoZFxx+ALxTJNJMEUJjM+EIRVl+NR5atK0tgTIUYGhpi/fr1uH79Ouzs7JCYmIiBAweW2FbWokUL/Pjjjxg3bpzc44iOjoaPjw/S0tKwZcsW1K5dG+np6ZJVovPz83H16lXExcUhOjoa7du3x6ZNm+Qeh7pgSYwppk2bNvjxxx/h7++PqKgoVYcDoLAEJo85/QBAt+1XuPtJ+evPMdqjvFIZn89H48aN8fPPP8u9Sm/v3r1YsGABPDw8kJ+fDzc3N/j7++Pp06fo0qULgMJqxmPHjmHlypX466+/sGvXLgQHByMgIECusagLlsSYL/j6+sLBwQHjx49XebViQmoO/E7FlHtcRsQpxK0ZhMSdM8o9dumpGCSk5sgjPKaKKq1U1qtXL9jb2+Pdu3cKuS+fz8f48ePxxx9/4OzZs/jpp59w9uxZ1K9fHyKRCPn5+bh06RIEAgGGDBkCoHDVipkzZ+LQoUNITEzUum75LIkxX9DX18eePXtAREhMTFRpLL5BDyCUovow6/4lAIDgYzz4iU/KPFYoIvgGPZBLfIx2+eOPP/D8+XOpj/+8VHblyhW8e/cOkZGRColv6tSpGDNmDABAKBRiwIAB2LFjB9LT08Hj8fDu3TscP35cUo0pXvi2TZs2ePLkCTgcjkZ3+CgJS2JMidq0aYPo6Gg0aNBAZTE8e5+JsOcfy20D4yc9gyD5FQwbdwAAZN27WObxBSJC2POPeJ6cKbdYGc13/vx5TJs2DR06dMD58+elPk9cKuvTpw90dHTA5/MxaNCgCo0rkwWXWzhC6syZMzAzMwOPx8Pp06fB4XAwfvx4AJAMmTl06BA6dOhQ7ng1TcSSGFMqHR0dPHnyBBMmTFBJteKBO/HQlWLF4az7hUmrRvdx4NVtjuzH1yAS5JV5jq4OB/tvx8slTkY7tG7dGp06dcKnT58wcOBA+Pv7S131dvr0afz777/Ytm2b1D0Y5WXevHlYs2YNYmNjsXXrVvTo0UOyT1dXF5mZmbhy5QqcnJy0clo5lsSYMuXm5mL//v0q6a0Y/CS53FKYSMBH9qNr0LdqCv1aDWDcqjcoPxc5sTfKPK9ARAh+mizPcBkNZ21tjeDgYEydOhVEhB9//BFDhw5FVlZWueeamJhgypQpmDJlitQ9GOWBiMDj8eDi4oKmTZvCy8sLR44cwcyZMxEXF4cbN25g1KhRyM/Ph4eHB0xMTFBQUPDFdcQrvB86dAhOTk4a1QmEJTGmTG3atMGSJUuU3lsxiy9EvBSdL3Ke3ADxs2HSqg8AwLi5Gzj6huVWKQJAfEqOVFNUMVUHj8fDjh07sGPHDujp6eHYsWPo1KlTme1kRAR3d3cEBgZK2ptkHVdWUUXbt3R1deHv74+wsDDUrFkTQ4cOxe+//w5dXV1s374dHTt2lBz3OXG148GDB+HqWjgMxcXFBVu2bJF8RnXFkhhTrsWLF8PBwQFjx45Fdna2Uu4Zl5INaf5ssu5dBIfLg3HzrgAAHX1DGNl3Af9NDASpb8s8lwC8TlHO52E0y9SpUxEaGgorKyvExMSU2k529OhR9O3bt8TSmizjyuRFJBLByMgIP//8M8LCwrB9+3acOHECtra2ePr0KQIDAyXjycTEJbOTJ08iJycH/v7+OHbsGLZu3YpHjx7h7du3at0ZhCUxplz6+vo4cOAAUlNT8eCBcnr15QtF5R4jSEsEPyEGho3bAyCI8rIgysuCcbPC8TLiHouVvQ9TNbm4uCAiIgIuLi4ltpPdu3cP48aNQ82aNWFsbFzqdZRVKgP+V6ISiUTg8XjFZgsJCAjAf//9h7dvi3+5E5fM9u7di6dPn2LBggV4//492rZti23btqFu3bpIS0vD06dPERQUJPeYK4slMUYqDg4OePnyZakTksqbPrf8X83CJEXIeXIDCZtGSF7JRwqXr8h+eBUk+rL+X9b7MFVXae1kr169gpeXF+zt7bFr165ySyqllcpCQ0MVErc4mYnjevLkCaKjo+Hn54c2bdpIjivaFiYSiXDgwAFYWFigf//+OHz4MAAgKCgIgwcPxsyZM7Fr1y44ODhIqhnVAZsAmJEJn8/HxIkTMXjwYMlgSkXI5gvhuOzfUqsUSVSAt1sngMPlwbz/7C/2574IR8Z/Qaj19VIYNelY4jU4AB4u68tWKGakEhgYiFmzZkEgEMDIyAgGBgaIioqCjY2NTNfJzc3FkiVLEBsbizNnziitqi43NxeGhoaSGfCL8vb2hpubG+bNmwcOh4PU1FQQEd6/f48xY8ZgxIgRmDBhAmrVqoWYmBj4+fmhadOmWLJkSZml0IpiEwAzCqOvrw+BQIBvvvkG9+/fr9S1QkNDv6jaEDPmcWFjZlTqubkvI1GQlQqTNn1hYNvqi1f1Tl8DunpldvCwMTdiCayKCQoKQk5OxWZrKdpOlpOTg/z8fMTElD+bzOfEpbJTp04pta3J0NAQAL5IYEeOHEFiYiJ69OgBDoeDgoICmJmZwdzcHD///DPatGmDcePGoVatWhAKhXBwcMDBgwdhY2NTYicRZWNJjJEJh8PB7t27YWdnB09Pzy8aiaV15coV9OvXD927dy91ih53e8tSx4ll3bsI6HJh0qp3ift1jUxhZOeC3BfhKMhO+3K/DgfudpYVip3RTNu3b8fgwYPh5eVV4URWp04dSTtZVlaWzOPJilKHBAAAXl5e2LRpE+zs7AD8L8m9f/8eHz58wIABA2BpWfi3wuVyQUTQ09PDsGHDYGBgoLK4xVgSY2RmbGws6cn09ddfyzwQ+sqVKxg0aBDy8vLQrFkz1KxZs8TjRjvblDpOzHLIEth+fwK6RqWvfFvLayFsF56ErvGX1y8QEcZ0kq0aiNFsjo6OMDExweXLlyuUyIKDg2Fvb4/o6OgKjydTR/r6+nBxcYGRUWHNh7h0WLt2bfD5fGRmZoLD4UimsBLvNzc3V03An2FJjKkQGxsbHD9+HJ07d5bpG2XRBDZo0CAcPXq01FVvm9auBrcmFlLN2iELXR0O3JpYoIml/Nd5YtSXq6srzp8/X6FE9vLlSwwdOhTdunVDnz59KjSeTBM5OztLkrOenp5ajhdjSYypMFdXV6xevRq6urpSzdotSwIT8/duCa6ckxhXhwN/75ZyvSajGSqSyDIzM+Hl5YUaNWrg8OHDkjkLAenHkykSEeH169cKufbIkSOxc+dOTJ06FXFxcRCJRBVuQlAUlsSYSgsLC0PDhg1x9erVUo+pSAIDgPpmRlju6SDPcLHC0wH1y+g0wmg3WRPZihUrEBcXh1OnTsHMzOyL/eWNJ1O0DRs2oEWLFvjll1/kfu127drh5s2bsLKygqenJxYtWoS7d+/K/T6VwbrYM5UmFAoxcOBA3Lx5E5cuXfpiLFlFE1hRAcHP5LIw5vd97DHTvUmlr8NovuvXr6N///7IyspCr169cPLkSUm7UFHZ2dl4+PAhnJ2dy7wen8/HnDlzEBgYCAAYMmQI9uzZAxMTE4XEDxQugDlkyBCsX78ev//+O96/f48dO3bA3t5eLtcv2h0/NzcXCQkJaNSoUbHSqCKwLvaMUnG5XBw/fhxt2rRBv379in1Tk0cCA4BZ7k2xZnBL8Lg6MreR6epwwOPqYO3gliyBMRJllciISDKWy9jYuNwEBlRs3sXKICKMGTMGPXr0QNeuXXH48GF0794da9eulds9is4AYmhoCDs7O4UnMFmxJMbIhbGxMc6ePQt7e3vMmjULRCS3BCY2ooMNLs/rhs6NCntFlZfMxPs7NzLH5XndMLwD643IFFdSIsvOzsb8+fOxatUqhIeHy3zNou1kr169qnB3/vJs2rQJIpEIoaGhWLhwIQDgw4cPxaaaktcSSp+PLVMnrDqRkau0tDTw+XzExMTINYF97tn7TBy4E4/gp8mIT8kpNrMHB4UDmd3tLDGmkw3rhciUq2jVYoMGDfD69WsEBARg5syZFb5mYmIiHj58iD59+sgx0kIJCQno168fQkNDYWBggAkTJiA0NBSjRo1C06ZNYW5ujuPHj4PH46Fp06ZYunSp3GNQJFme4yyJMXJXtATWrVs3/Pvvv3JNYJ/L5gvxOiUb+UIR9Lk6aGBuzGbiYGR2/fp19OzZE/n5+WjatCmio6NLbCNTNSKCg4MDli1bhmHDhgEo7EE5ceJEHDx4EL169UL9+vVhbW2NYcOGYcWKFcjOzsbmzZvRokULFUcvHdYmxqhM0QRWrVo1xMTEIDY2VqH3NOZx4WBtirY2NeFgbcoSGFMhrq6uWLt2LXg8Hp49e1apmT0UKTMzE2ZmZjh06JBkaMuLFy/A4/HQo0cPJCQkYNWqVVi7di2cnJxw8uRJeHt7Y926dUhL+3L2Gk3HkhgjN5+3gcXGxsLGxgbu7u6IiIhQdXgMUyKRSIS9e/eioKAAc+fOxeXLlys1s4eiVa9eHdevX4erqyv69u2L6dOnw9/fH3fv3kVqaio2btwomZRYPMvG9OnT0bNnT7VeF6zCSMukp6cTAEpPT1d1KFXK5cuXycDAgADQoEGDKC8vj4iI0tLSyNnZmWrWrElpaWmqDZJhPiMUCmnSpEnE4XAoJCREsj0sLIxMTEwIAPXq1Yuys7NVGGXpYmNjydfXl06ePEm3b98mT09PunHjRonHfvr0ScnRVZwsz3GFJrGff/6ZXFxcyNDQkExNTaU6RyQSkZ+fH1lZWZGBgQF169aNHj58KPU9WRJTvtISmFhGRgadOXNGRdExTMmys7Np2LBhpKOjQ/v27ftiv6YkMrHMzEzq0aMHPXjwgIiI8vPziajwmappZHmOK7Q6MT8/H0OHDsX06dOlPueXX37Bhg0bEBAQgPDwcNSpUwe9e/dGZmamAiNlKkqabvTVqlXDwIEDAQA//vgjfv31V7Wcg42pOtLT09G1a1ecOXMGR44cwZgxY744prRxZOr6u2tiYgI3NzcsWLAASUlJ0NPTAwDtrEIsSuEplYh2794tVUlMJBJRnTp1aM2aNZJteXl5ZGpqStu3b5fqXqwkpjzllcA+JxKJyNfXlwDQmDFjKDc3V0mRMkxxIpGIFixYQFFRUeUeW1qJ7ObNm/T777/TpEmTFBqnrPz9/ally5a0du1aunTpEqWmpiogMsVSm+pEMWmT2IsXLwgA3b17t9h2T09P+uabb0o8Jy8vj9LT0yWvhIQElsSUQNYEVtTff/9NBgYG1LFjR3r79q0Co2SY4nbv3k0nTpyQ+byiiczFxYU8PDxozJgx5ObmRtWqVaOnT58qINr/CQ4OplGjRpGXlxcJhcJyj4+NjSU/Pz+6evUqq05UJnF30dq1axfbXrt27VJnSV+9ejVMTU0lr/r16ys8zqqusjNxjBw5EtevX8fbt2+xatUqBUbKMIWEQiHmz5+PCRMmICQkRObz27Rpg19//RW6urq4desWIiIisHjxYvB4PEyZMgVNmzaVe8wikQjp6ekYNWoU9u/fj+fPn+Phw4dITU0t91x7e3ssW7YM7u7uWl+dKHMSW7ZsGTgcTpmvynan/vyHTkSl/kMsXrwY6enpkldCQkKl7s2UjYiwatWqSs/E4eTkhIiICPz6668ACmc3YBhFSEtLw8CBA7F582Zs2bIFGzZskOn8ly9fYuDAgdi5cyfq1KkjWXro8ePHMDc3x9ixYyXHkhzby1auXImFCxciLS0NS5cuhbW1NSZPnoxatWrJ7R7aQOZRobNmzcKIESPKPKZBgwYVCqZOnToACktkVlZWku3JyclflM7EeDyeQmeDYIrjcDgICgrCmjVrsGzZskr97MX/3m/fvkXz5s0xbdo0rFmzRm2WbWe0w4QJExAREYF///0XPXv2lPn8Ro0aYenSpWjUqBEaNmyINm3awNbWFq9evcLHjx/RpEnhpNJCoRChoaG4fv06/Pz8KhxvUFAQTpw4gb///huurq64evUqOBwOuFyuZIWI1NRUJCYmgojQsmUVXxtPwVWbRCR7x461a9dKtvH5fNaxQ8kiIiKUej+RSESbNm0iHR0d6tevHxtPVgUUFBTQ4cOHaf/+/Qq7h7id9vnz5/T8+fMKXaOk9iQ+n0+urq5kaGgoGZPF5/MpLCyMevbsScbGxjRz5swK3S8zM5PGjRtHS5YsoaSkJPLy8qLRo0fTiRMnqFWrVlRQUECLFy+mfv36UdOmTWnQoEHk6elJOTk5FbqfulKbjh1xcXEUFRVFy5cvJxMTE4qKiqKoqCjKzMyUHGNvb0/Hjx+XvF+zZg2ZmprS8ePH6cGDBzRy5EiysrKijIwMqe7JkljlTJs2jcaPH09Eyh9f8u+//1KNGjXI1taWbt++rdR7M8p16NAhAkCWlpZyH3+VnZ1N3377LTk6OhZ71siDODEeO3aM+vfvT2lpaSQQCOjatWvUpUsX+vXXX4mIaOTIkaV2RiuPSCSirKwsyfvZs2cTh8OhwMBA2rhxI1laWtLFixcpISGBiIi+//57cnFxodjY2Ep+OvWhNkls3LhxBOCLV3Bw8P8CAGj37t2S9+LBznXq1CEej0ddu3aVDN6TBktiFefj40PDhw+XvE9JSVF6DC9fvqSBAwdW+Jszoxny8/OpYcOGBIDWr18vt+teu3aNGjduTAYGBrRhwwYqKCiQ27XF0tLSqF69erRlyxbJPbt160YmJib0xx9/SI7r27cvhYeHV/g+4sHKREReXl40Z84csrCwKHHigM2bN5O/v3+xczSZ2iQxVWBJrGLmz59PHTp0IIFAQEREW7dupTVr1kjeq4J4BoLLly+rLAZGcf7880+5lsZWrFhBHA6HOnfuTE+ePJFDhKXbsWMHvXz5ksLCwqhHjx7k5+dHKSkp5OrqSj/++CNduXKFeDzeF8OFKuL06dNkampK+/fvpylTphT7WYm72yckJNCpU6cqfS91obFd7BnV0dfXh6WlJZ49e4YNGzZg165dGDVqlEpXcc3MzAQRoVevXpg+fTqbtUXLjB07Fg0bNkRycjK2b99e4esUFBQAAFq3bo1169bh2rVrsLOzk1eYxdD/9z6cOnUqBAIBJk6ciI4dO2LZsmUwMzPDvn37cOjQIezYsQP+/v5o27Ztpe/ZqlUrrF69Gnl5eXj06BGMjIwkcYg7QdWrVw99+/at9L00kqIzqrKxkljFLVmyhJycnKh58+aSwZvSDKxUpIKCAvr999/J2NiYbG1ti03Symi+ypTGsrKyaM6cOeTt7a2yAb1Dhw6VtCETFXYiadWqlUIG8T98+JAGDhwoqeYXf2ZFVJmqGiuJMVI5d+4c9u/fj40bNyI9PR0rV67EuHHjUKdOHaSlpSE7O1vl3d11dHQwY8YM3L9/H40aNQKfz1dpPExxsbGxWLlypVQDcEtS0dJYWFgYWrdujcDAQLi5uSl9PkPx/f755x8YGhri66+/xq1bt+Dr6wtnZ+dShwRVhoODA1q1aoVevXrhzp07ku06OlX8Ma7wlKpkrCQmnQkTJtCAAQPom2++ITs7O+rduzcdOXKEiIiWLVtGAwYMoH///Vet5jcUf/MUiUQ0adIkOnv2rEZOqaNNWrZsSQBo165dFb6GrKWxRYsWKa3tqyxFf/e+/fZb8vDwoGnTptGVK1cUet8jR45Qx44dacOGDVrbi5d17GBJrEyzZs2iIUOGFNs2d+5c8vDwoLCwMCIiWrx4MTk7O8vUM1RZPn36RO7u7gSAunfvrrV/yJpgxYoVBID69+9f4WtI01MxJydHkuBWrVpFGzZsUHlVN1HxqjzxM0ckEil82ZbExER6/fq11n6JY0mMJbFSzZ07l2xtbSXvxeNRMjMz6euvvy6W3I4ePars8KQmEono1KlT5ODgQABo4sSJqg6pSnr8+DEBIC6XW6nZ0ksrjQkEAtq5cyfVq1ePli5dKo+Q5a5oIsnNzaWtW7fS/PnzKTExUYVRaTbWJsaUSCgUok2bNqhduzb+/vtvAICxsTEEAgFMTEywcOFC3L17F2/evAEADBkyBIB854OTFw6HAw8PD9y7dw979+6VTMeTlpYmiZ9RvGbNmqFly5YQCoU4ceJEha/zedsYEeH48eNo2bIlJk+ejC5dupS45pc6KDqvq4+PDyIjI1G7dm2Ympp+caxIJCr2PiUlReHxaT2Fp1QlYyWxsuXk5NA///xDHTp0oMDAQCL63zfJu3fv0ujRo9WimqaifH19ycDAgL7//nuVDNauiuRRpUhUvDQWHBxMAKhPnz4UGRkpp0gV7+PHj0T0v2rGou24Rd29e5eOHz9OjRs3punTpys3SA0gy3NcdYOAGJUwNDTEoEGDQERYt24dCgoK4OPjA6Bw1uzGjRurvEdiZfzwww/gcrlYv349AgMD8cMPP2DOnDkwNjZWdWhaa+jQoVi6dCkuXbqEtLQ01KxZs0LXcXR0hKmpKZKTk3H37l1ERkaiXbt2co5WsczMzAAUls7o/1ffEP83Ly8Pr1+/xqZNm/D8+XNYWFjg/fv3yMnJUXHUGk7RGVXZWElMOjk5OXT48GFycXGhnTt30uTJk4utUKvpDcbv37+n2bNnk76+vqTjhyaXMNVdRXspikQiCg4OpiFDhhAAql27tsLmVFSVhIQEioyMJC8vL3J0dKTRo0fT69evKSoqiubMmUP//fcfEZHWTBklD6xNjCmXoaEhPDw8MG/ePMybNw/Z2dnYuXMngMJ6e01fSM/S0hKbN29GQkICnJ2dQUTo1KkTRo0ahevXr6tlO58mGzp0KADgyJEjMp3Xu3dvuLu7IyYmBn/88QdevXoll1k81MnVq1cxbNgwNGnSBNbW1jA1NYWtrS1u376NGzduwNbWFgCgp6en4kg1lMJTqpKxkphscnJy6M6dO5L3ml4CK41AIKANGzZQkyZNCAC1bNmStm3bJpmVnKkcaXspRkdH07Rp0+jNmzdERHT48GG6evVqsd87ec+pqA7u379PRIW1AV26dCEPDw/y9PSkCxcuFDuuR48eXwx/qYpYSayKW7p0KR4+fCjVsYaGhujYsSMA7SiBlYbL5WLevHl48uQJLl68iMaNG8Pf318y28Hbt29VHKFmK6uXIp/Plyzw2KZNG5w+fRrPnj0DAAwbNgzu7u7Ffu/kNaeiOqD/L/G3bNkSBQUF0NXVxfXr15GZmYnMzEzJgpoA0KtXL6SmpkIkEmH27NmqClnjsCSmZaZPn46YmBg4OjoW2/55117xpKlFVYXpa3R0dNC7d28EBQUhNjYWenp6ePPmDWxtbeHu7o4jR44gLy9P1WFqpM+rFMUP8NmzZ2P06NHg8Xg4evQoXr9+je7du5d6HT09PSxZsgQAsHbtWo3u+FA0ORftMJWWloY+ffqgcePGAICRI0ciIiICUVFROH78OOLi4jBnzhylx6uJtP+pVYXMmjULnz59wrFjxwAAZ86ckXzj1dHRQUxMjGTZdE3ugSgvRkZGAArbz/bv34+CggIMGzYMFhYWGD9+vGqD00DicYX//vsvHBwcsGfPHgDAggUL8OjRI1y5cgVDhgyRqu1Hm0pjn7t27RqMjY3xww8/AAC6d++OyMhItGjRAn/++ScA4NSpU6hfvz5ev36twkg1hMIrN5WsqraJLVu2jIyNjSXv169fT927d6cPHz5Itj1//pwaNGhQbBFSprhHjx6Rv78/LVmyhIgKZzTp3r07rV27lh4/fqy1bYaVtXXrVrKyspIsfOvi4kLXr1+v1DW1sW1M7PTp00RE1KdPH2rdujUREaWmppKjo6Nk/GZVxqadqmJJTCAQ0OXLl8nd3Z3WrVtHgYGB5ObmRi9evPji2L1799KuXbtYd3MpxcXFkaenJxkaGhIAatq0KS1cuLBKJ7N3797Rn3/+SV5eXvTvv/8SEdGxY8do/vz5NHHiRLkMfCZS3OrPqlT09+a3336jWrVqFeta/+bNG7pw4YJKF6NVByyJVaEkVvQPICwsjDp37kwmJiZfzFYxfvx4evr0KT179qxY6YyRTk5ODp0+fZqmTJlCw4YNI6LCnmYTJ06kdevWUXBwsFb+zolEIsnsE3v27KFOnToRh8MhHR0dcnV1/aJ3nbzmUhTT5tIY0f/GLgqFQvbFsgiWxKpIEps3bx4NHz6cli1bRnFxcSQUCunatWvUtWtX8vPzkxw3YsQImjBhguoC1VIJCQnk4uIiKaUBIDs7O8nD9tGjRxr3e/j8+XM6dOgQff/99+Tu7k6mpqaSlQ02b95MX3/9Ne3Zs4eSk5NLvYY8lmcR08bSGFHx2e+rcqm+NLI8xzlE2jXqMyMjA6ampkhPT0f16tVVHY7CTJ8+HcnJyRg1ahQ2btyIX375BZ07dwYAXL9+HX5+fnB2dkZSUhJ4PJ6kcZz+fwocRn6EQiFiY2MRGRmJ58+fY+XKlQCAxo0b4+XLl7Czs4OTkxOcnJzwzTffoFatWsjLy4O+vr5KeoTm5eUhKSkJiYmJiI+PR0xMDFauXAkOh4O2bdsiOjoaNjY2kphHjx6NBg0aSH39lStXYunSpejfvz/OnTtX6Xh37dqFSZMmwdLSEq9evZJ0yNEm4r/LDx8+AABq1aql4ohUS5bnOEtiGmjixIlIT0+X9EIcPHgwTExMYGNjg3bt2mHw4MG4fv06xo0bh/bt2+Pw4cMACrvZV4Vu9OoiJiYGERERiIyMRGRkJKKjo3H9+nW0bdsWM2fORGBgIKysrCSv4cOHY+TIkUhJScGdO3dgbW0NMzMz6OnpQV9fH+bm5gAKx11xOBwIhUIIhUIIBAIIhUKYmJjA2NgYCQkJuHXrliRRJSUloUGDBlixYgVSU1Ml1xGzsbFBREQEatWqhZiYGFhaWlbqIRobG4vmzZuDy+UiOTm5wnMpigkEArRr1w79+vXDkiVLSpwdXhtER0fj6NGjyMrKwtKlSyXzMH4uMjISERERmDZtmpIjVB5ZnuNsAmANk5ycjLNnz2LmzJkAgC1btiAqKgpLlixBQkICFi1ahGrVqqF37944f/487OzsALAEpgoODg5wcHDAuHHjABSW2MSl4G+++QYODg6SJJOUlISsrCwAQEREBAYOHFjsWg0bNsTLly8BAPXr15d8Yy9q27Zt8PHxwdWrVzF+/HgYGBjA2toaVlZWqFu3LgCgZs2a2Lt3L6ysrGBtbY26deuiRo0axWKuLPHA5wcPHuDEiROYMGFCpa6np6eH6OhorR0WQkTIy8vDkiVL0KlTJ7Rp06bUBBYREYHNmzfj+vXriIiIwB9//KHkaNUPK4lpoAcPHmDo0KGwsbFBbm4u/v77b9SvXx/Z2dmYM2cOevfujREjRkiOZwlMswiFQrx79w5JSUlITU2FUCgEj8dDr169ABQOJubz+dDV1QWXy5W8WrVqBVtbW2RnZ0MgEMDU1FRlVcfyrlKsCnJzc2FoaCh5/3nV/8OHD7FmzRq0atUKffv2xdq1a2Fqaopt27apIlyFYtWJWp7EAODRo0cYMWIE3N3d8dtvv0m2u7u7Y/To0Zg8ebIKo2OqOnlXKVYFZbVXR0RE4LfffsPt27fh5eWFdevWAQDc3NwwefJkSWlfW8jyHGdfzzVUixYt8Pfff+PChQvw9/dHQUEBRo0ahUaNGrEExqicvFZ8rkrKSmABAQFo3LgxNm7ciNu3b2Pjxo2IjY1FixYtilUHV0UsiWkwR0dHHD16FH/99RdsbGxQvXp1ybQ1n8+VyDDKVtHlWZj/efv2LZYuXYq6detixIgRGDRoEP755x+sWLECfn5+SExMRL169QAAmZmZKo5WNVgS03AtW7bE0aNHMWHCBEk3etYGxqgDcRITr/jMyK5u3bpo0KABrl+/jmbNmgEArK2tMWTIECxfvhx79uyBk5MT4uPjYWFhgeHDh6s4YuVjTzot4OjoiJ9//hkAS2CM+hBXKerq6iIyMlLV4WgccXeFrVu3onnz5hgzZgxSUlJw4MAB7N+/Hzk5OTA3N0diYiLatGkDHx8fGBoaYsaMGSqOXLlYxw6GYRQmJiYGNjY2qFatmqpD0UhFv5ROmjQJ7969w61bt7B69WpMmzYNCQkJ6Nq1K8zNzREREQEA8PT0RPPmzbF27VpVhl4prHciS2IMw2iJoonsw4cPyM3NhY2NDRISEtCyZUt4eHggKSkJ3t7ekvGje/fuxeDBgzX2ywMb7MwwDKMldHR0JN3vxTOpvH79Gu3atcOYMWMQEBCAN2/eoG/fvrC0tMTQoUO1rst9WVhJjGEYRsNMnz4dWVlZ2Ldvn2Tb+/fv8fHjR7Ro0ULj50dl1YksiTEMU0VQ4WokWtWhiw12ZhiG0VKflzs4HI5WJTBZsTYxhmG0RkFBATIyMvDq1SsIhUJ07NhR1SHJnaZXFcobS2IMw2iF7OxsbNmyBefOncO9e/fQpEkTODs7Y9y4cXB2dlZ1eIyCKLQMumrVKnTu3BlGRkZSz+81fvx4cDicYq9OnTopMkyGYTRcamoqvLy8sG/fPowaNQrp6ekICgpCq1atMHfuXFWHxyiQQpNYfn4+hg4diunTp8t0Xr9+/SRrLCUlJbGlHBiGKdPVq1eRm5uL+/fvw8fHBwBQr149+Pj4wMjICMePH1dxhIyiKLQ6cfny5QCAPXv2yHQej8dDnTp1FBARwzDaRiQS4d69e/jqq6+gq6sLgUAALpcrGSTs4+ODgwcPYvDgwaoOlVEAtezSEhISAktLS9jZ2WHKlClITk5WdUgMw6gpHR0dpKSkIDc3FwAkzRBcbuF39Bo1amDYsGFVdpZ3bad2Sax///44cOAArl69ivXr1yM8PBw9evQAn88v8Xg+n4+MjIxiL4ZhqpbvvvsOx44dAwBJ8hIvR9SxY0e8f/8eEyZMUFl8jOLInMSWLVv2RceLz1/iiSgrYvjw4Rg4cCAcHR3h4eGB8+fP4+nTpzh79myJx69evRqmpqaSV/369St8b4ZhNFPjxo3h7OyM6dOn4969ewAKeytu2rQJ7du3x969e3Hnzh2cPn1axZEy8iZzm9isWbMwYsSIMo9p0KBBReP5gpWVFWxtbfHs2bMS9y9evBjz58+XvM/IyGCJjGGqIH9/f4SEhMDCwgKbN2/Gli1bYGxsjFWrVmHYsGG4ffs2fH194eHhoepQGTmSOYlZWFjAwsJCEbGUKCUlBQkJCbCysipxP4/HA4/HU1o8DMOoJ/GzqW3btmjatKkkeYl16tQJQqEQ58+fR//+/VUYKSNPCm0Ti4+PR3R0NOLj41FQUIDo6GhER0cjKytLckyzZs0QFBQEAMjKysKCBQtw69YtvH79GiEhIfDw8ICFhQW8vb0VGSrDMGpA3I5VUfXq1UNBQQFu3LiBYcOGgYggEAiQn58PAGjfvj0+fvwoj1AZNaHQJLZ06VK0bdsWfn5+yMrKQtu2bdG2bdtibWZPnjxBeno6AEBXVxcPHjyAl5cX7OzsMG7cONjZ2eHWrVsauy4OwzDFRUVF4cGDB0hISEBISAiSk5ORmpqKhw8fVnoOwCZNmmDEiBFYtWoVAEAgEEBPTw/6+vqIiYnBoUOHYG9vL4+PwagJNos9wzBKNX/+fNy9exfR0dGwtbVFgwYN8N9//8HDwwMvX76ElZVVsSVGZPXixQsMGjQIx44dQ4sWLZCUlIRLly7hyJEjqFevHrZt2yZZn4tRT2wWe4Zh1NaSJUsQFBSE/fv3Q1dXF9u2bUNsbCxatWqFq1evVro01rhxY0yaNAl+fn6ws7PD2LFjceLECTRp0gSzZ88GwCbR1SasJMYwjEoUFBTA3t4ez58/x4MHD7BixQq0bdsWs2fPrnTzAREhKSkJZ8+ehampKWrWrIlu3bpBX19fTtEziiTLc5zNYs8wjNLl5eXBwMAADg4OaN++Pfh8PoYPH45FixZBR0en0tV9HA4H1tbWmDJlSrHtrBpR+7AkxjCM0hkYGAAAHBwc8OnTJ2zevBmdO3eGQCDAy5cv8fjxY4WM52IJTPuwJMYwjNLl5OSgR48eSElJwfr162FtbY2goCCEhITg0aNHuHLlCo4dO8aG1jDlYkmMYRilMzIygq+vL4gIMTEx+O233xATEwNLS0ucO3cOZ8+exdmzZ1kSY8rFeicyDKMSOTk58Pb2xqdPn7B8+XKcPn0adevWRb169TBixAjcvXsXWtbvjFEAVhJjGEYlunXrhnbt2mHt2rWSbR8/fkRMTAwcHBxgbW2Nc+fOYeDAgSqMklF3rCTGMIxKWFlZoVatWrh8+bJkW+/evSXvZ82aJekAwjClYSUxhmFUZtCgQfjnn3/Qq1cvAMCMGTPw+vVrAEC/fv1UGBmjKVhJjGEYlRkyZIhkRWagcAJfV1dXyXvWJsaUh83YwTAMw6gVNnciwzAaRcu+SzNKxJIYwzAqx2bSYCqKJTGGYRhGY7EkxjAMw2gslsQYhmEYjcWSGMMwDKOxWBJjGIZhNBZLYgzDMIzGYkmMYRiG0VgsiTEMwzAaiyUxhmEYRmOxJMYwDMNoLJbEGIZhGI3FkhjDMAyjsVgSYxiGYTQWS2IMwzCMxmJJjGEYhtFYLIkxDMMwGoslMYZhGEZjsSTGMAzDaCyWxBiGYRiNxZIYwzAMo7FYEmMYhmE0FlfVAcgbEQEAMjIyVBwJwzAMUxHi57f4eV4WrUtimZmZAID69eurOBKGYRimMjIzM2FqalrmMRySJtVpEJFIhMTERFSrVg0cDkfV4ZQpIyMD9evXR0JCAqpXr67qcGSmyfGz2FVHk+NnsSsHESEzMxPW1tbQ0Sm71UvrSmI6OjqoV6+eqsOQSfXq1dX+l6osmhw/i111NDl+FrvilVcCE2MdOxiGYRiNxZIYwzAMo7FYElMhHo8HPz8/8Hg8VYdSIZocP4tddTQ5fha7+tG6jh0MwzBM1cFKYgzDMIzGYkmMYRiG0VgsiTEMwzAaiyUxhmEYRmOxJKZkq1atQufOnWFkZIQaNWpIdc748ePB4XCKvTp16qTYQEtQkdiJCMuWLYO1tTUMDQ3RvXt3xMTEKDbQUqSlpWHs2LEwNTWFqakpxo4di0+fPpV5jqp+9lu3bkXDhg1hYGAAJycnhIWFlXl8aGgonJycYGBggEaNGmH79u0Kj7E0ssQeEhLyxc+Xw+EgNjZWiRH/z7Vr1+Dh4QFra2twOBycOHGi3HPU5Wcva+zq9rOvKJbElCw/Px9Dhw7F9OnTZTqvX79+SEpKkrzOnTunoAhLV5HYf/nlF2zYsAEBAQEIDw9HnTp10Lt3b8kcl8o0atQoREdH48KFC7hw4QKio6MxduzYcs9T9s/+8OHDmDt3Ln788UdERUXBzc0N/fv3R3x8fInHv3r1CgMGDICbmxuioqLg6+uLOXPm4NixYwqNsySyxi725MmTYj/jpk2bKini4rKzs9G6dWsEBARIdbw6/exljV1MXX72FUaMSuzevZtMTU2lOnbcuHHk5eWl0HhkIW3sIpGI6tSpQ2vWrJFsy8vLI1NTU9q+fbsCI/zSo0ePCADdvn1bsu3WrVsEgGJjY0s9TxU/+44dO5KPj0+xbc2aNaNFixaVePzChQupWbNmxbZNmzaNOnXqpLAYSyNr7MHBwQSA0tLSlBCdbABQUFBQmceo08++KGliV+efvSxYSUxDhISEwNLSEnZ2dpgyZQqSk5NVHVK5Xr16hXfv3qFPnz6SbTweD926dcPNmzeVGsutW7dgamoKZ2dnybZOnTrB1NS03FiU+bPPz89HZGRksZ8ZAPTp06fUOG/duvXF8X379kVERAT+r737eYXnj+MA/ip2yY8ki52UXTnsBbVsstIqSpQSF7Rp/gEHcnFjb5QfJyklF8qBddBebFkcCIcpqz1Qfu1l/TqglNDze9Bu+ex8ZNfMmvl8X4/a4j1vM8+e1GtlMq+vr6pl/VMy2aPsdjsJgkDNzc0UCATUjKkorXT/E3rtPoqHmA60tbXR0tISbW5u0uTkJB0eHlJTUxO9vLz8drQvRSIRIiIqLi7+tF5cXBw7lsosRUVFcetFRUVfZkl193d3d/T+/p5QZ5FIRHb/29sb3d3dqZJTTjLZBUGgubk5Wl1dJa/XSzabjZqbm2lnZycVkX9MK90nQ+/dR/1z/8X+N4yOjpLH4/lyz+HhITkcjqTO393dHfu4oqKCHA4HWSwW8vl81NXVldQ5o9TOTkRxj8QBoNhjcr6bXy7Hd7Ko2f1XEu1Mbr/ceiokkt1ms5HNZot97nQ6KRwO08TEBLlcLlVzKkVL3SfiX+ieiIeYIvr7+6mnp+fLPVarVbHrCYJAFouFTk9Pf3wuNbObzWYi+ni3KghCbP3m5ibu3Wuyvpv/6OiIrq+v447d3t4mlEXJ7uWYTCZKS0uL+83lq87MZrPs/vT0dCooKFAlp5xkssupq6ujxcVFpeOpQivdK0VP3UfxEFOAyWQik8mUsuvd399TOBz+NBiSpWb2srIyMpvN5Pf7yW63E9HH3022t7dpfHxckWt8N7/T6aSHhwc6ODig2tpaIiLa39+nh4cHqq+v//b1lOxejtFopJqaGvL7/dTZ2Rlb9/v91NHRIfs1TqeT1tfXP61tbGyQw+Egg8GgSk45yWSXI0mSav0qTSvdK0VP3cf85l0l/0eXl5eQJAkejwc5OTmQJAmSJOHp6Sm2x2azwev1AgCenp4wNDSE3d1dnJ+fIxAIwOl0oqSkBI+Pj5rODgBjY2PIy8uD1+tFMBhEb28vBEFIeXYAaG1tRVVVFfb29rC3t4fKykq0t7d/2qOF7peXl2EwGDA/P49QKISBgQFkZ2fj4uICADA8PIy+vr7Y/rOzM2RlZWFwcBChUAjz8/MwGAxYWVlRLaNS2aenp7G2toaTkxMcHx9jeHgYRITV1dWUZwc+vufRn2siwtTUFCRJwuXlpWx+LXWfaHatdZ8sHmIpJooiiCjuFQgEYnuICAsLCwCA5+dntLS0oLCwEAaDAaWlpRBFEVdXV5rPDnzcZj8yMgKz2YyMjAy4XC4Eg8GUZweA+/t7uN1u5ObmIjc3F263O+72Yq10PzMzA4vFAqPRiOrqamxvb8eOiaKIxsbGT/u3trZgt9thNBphtVoxOzuresa/SST7+Pg4ysvLkZmZifz8fDQ0NMDn8/1C6g/R287/fImiCEDb3SeaXWvdJ4sfxcIYY0y3+BZ7xhhjusVDjDHGmG7xEGOMMaZbPMQYY4zpFg8xxhhjusVDjDHGmG7xEGOMMaZbPMQYY4zpFg8xxhhjusVDjDHGmG7xEGOMMaZbPMQYY4zp1n+OkGvvLV079wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "G = create_example_graph(centered=True)\n",
+    "G.rescale_to_unit_disk()\n",
+    "\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can extract the information directly for use in computation. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[       nan 5.49778714 5.60844436 5.8195377  5.03413953 5.49778714]\n",
+      " [2.35619449        nan 5.6951827  0.         3.92699082 5.49778714]\n",
+      " [2.46685171 2.55359005        nan 2.03444394 2.89661399 2.67794504]\n",
+      " [2.67794504 3.14159265 5.17603659        nan 3.46334321 3.92699082]\n",
+      " [1.89254688 0.78539816 6.03820664 0.32175055        nan 0.        ]\n",
+      " [2.35619449 2.35619449 5.8195377  0.78539816 3.14159265        nan]]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.colorbar.Colorbar at 0x16b198290>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 480x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# If return type is `matrix`, the function returns the matrix of angles and the labels of the angles in the order of the rows/columns in the matrix \n",
+    "M,Labels = G.get_all_normals_matrix()\n",
+    "print(M)\n",
+    "\n",
+    "plt.matshow(M)\n",
+    "plt.xticks(range(len(Labels)), Labels)\n",
+    "plt.yticks(range(len(Labels)), Labels)\n",
+    "plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This can also be returned as a dictionary, with keys given by angles (note the negative angle is not repeated), and value a list of the pairs of vertices associated. Note that in the case of more than one pair of vertices having the same normal angle, it is given as a list of all pairs. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.497787143782138: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.608444364956034: [('A', 'C')],\n",
+       " 5.81953769817878: [('A', 'D'), ('F', 'C')],\n",
+       " 5.034139534781332: [('A', 'E')],\n",
+       " 5.695182703632018: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.9269908169872414: [('B', 'E'), ('D', 'F')],\n",
+       " 2.0344439357957027: [('C', 'D')],\n",
+       " 2.896613990462929: [('C', 'E')],\n",
+       " 3.4633432079864352: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "angles_dict = G.get_normals_dict()\n",
+    "angles_dict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also get it to return the dictionary with rounded values, as well as to have it include all the opposite angles. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.5: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.61: [('A', 'C')],\n",
+       " 5.82: [('A', 'D'), ('F', 'C')],\n",
+       " 5.03: [('A', 'E')],\n",
+       " 5.7: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.93: [('B', 'E'), ('D', 'F')],\n",
+       " 2.03: [('C', 'D')],\n",
+       " 2.9: [('C', 'E')],\n",
+       " 3.46: [('D', 'E')],\n",
+       " 2.36: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 2.47: [('A', 'C')],\n",
+       " 2.68: [('A', 'D'), ('F', 'C')],\n",
+       " 1.89: [('A', 'E')],\n",
+       " 2.56: [('B', 'C')],\n",
+       " 3.14: [('B', 'D'), ('E', 'F')],\n",
+       " 0.79: [('B', 'E'), ('D', 'F')],\n",
+       " 5.17: [('C', 'D')],\n",
+       " 6.04: [('C', 'E')],\n",
+       " 0.32: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "G.get_normals_dict(opposites = True, \n",
+    "                   num_rounding_digits=2)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/doc_source/tutorials.rst b/doc_source/tutorials.rst
index 8e7df94..f7ffaab 100644
--- a/doc_source/tutorials.rst
+++ b/doc_source/tutorials.rst
@@ -8,4 +8,5 @@ Tutorials
    notebooks/Tutorial-ECT_for_embedded_graphs
    notebooks/Tutorial-ECT_for_CW_Complexes
    notebooks/Matisse/Matisse_ECT
+   notebooks/Tutorial-ExactECT
 
diff --git a/docs/_images/notebooks_Matisse_Matisse_ECT_15_1.png b/docs/_images/notebooks_Matisse_Matisse_ECT_15_1.png
index 1f54486..3e4ff08 100644
Binary files a/docs/_images/notebooks_Matisse_Matisse_ECT_15_1.png and b/docs/_images/notebooks_Matisse_Matisse_ECT_15_1.png differ
diff --git a/docs/_images/notebooks_Matisse_Matisse_ECT_18_1.png b/docs/_images/notebooks_Matisse_Matisse_ECT_18_1.png
index 85aaeb7..2b613df 100644
Binary files a/docs/_images/notebooks_Matisse_Matisse_ECT_18_1.png and b/docs/_images/notebooks_Matisse_Matisse_ECT_18_1.png differ
diff --git a/docs/_images/notebooks_Matisse_Matisse_ECT_5_1.png b/docs/_images/notebooks_Matisse_Matisse_ECT_5_1.png
index eec8e67..cdacfec 100644
Binary files a/docs/_images/notebooks_Matisse_Matisse_ECT_5_1.png and b/docs/_images/notebooks_Matisse_Matisse_ECT_5_1.png differ
diff --git a/docs/_images/notebooks_Matisse_Matisse_ECT_7_1.png b/docs/_images/notebooks_Matisse_Matisse_ECT_7_1.png
index 8e5ec08..2fd9083 100644
Binary files a/docs/_images/notebooks_Matisse_Matisse_ECT_7_1.png and b/docs/_images/notebooks_Matisse_Matisse_ECT_7_1.png differ
diff --git a/docs/_images/notebooks_Matisse_Matisse_ECT_9_0.png b/docs/_images/notebooks_Matisse_Matisse_ECT_9_0.png
index 0f5d44e..3a87f9e 100644
Binary files a/docs/_images/notebooks_Matisse_Matisse_ECT_9_0.png and b/docs/_images/notebooks_Matisse_Matisse_ECT_9_0.png differ
diff --git a/docs/_images/notebooks_Playing_with_Spirals_11_0.png b/docs/_images/notebooks_Playing_with_Spirals_11_0.png
new file mode 100644
index 0000000..47fbc22
Binary files /dev/null and b/docs/_images/notebooks_Playing_with_Spirals_11_0.png differ
diff --git a/docs/_images/notebooks_Playing_with_Spirals_12_1.png b/docs/_images/notebooks_Playing_with_Spirals_12_1.png
new file mode 100644
index 0000000..1fcaa92
Binary files /dev/null and b/docs/_images/notebooks_Playing_with_Spirals_12_1.png differ
diff --git a/docs/_images/notebooks_Playing_with_Spirals_1_1.png b/docs/_images/notebooks_Playing_with_Spirals_1_1.png
new file mode 100644
index 0000000..979093f
Binary files /dev/null and b/docs/_images/notebooks_Playing_with_Spirals_1_1.png differ
diff --git a/docs/_images/notebooks_Playing_with_Spirals_2_1.png b/docs/_images/notebooks_Playing_with_Spirals_2_1.png
new file mode 100644
index 0000000..26a9b12
Binary files /dev/null and b/docs/_images/notebooks_Playing_with_Spirals_2_1.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png
index 43c4e96..944fa24 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png
index dde1b70..649cbda 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png
index 0d43d39..22e60cc 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png
index 5b160f4..9e2e656 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png
index 5a2dd23..3a6c320 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png
index a7c8fe9..177adac 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png
index 2640723..2d13503 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png
index 0fb1551..8e72dc9 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png differ
diff --git a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png
index c6d0701..94ffc64 100644
Binary files a/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png and b/docs/_images/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png differ
diff --git a/docs/_images/notebooks_Tutorial-ExactECT_3_0.png b/docs/_images/notebooks_Tutorial-ExactECT_3_0.png
new file mode 100644
index 0000000..eb5fead
Binary files /dev/null and b/docs/_images/notebooks_Tutorial-ExactECT_3_0.png differ
diff --git a/docs/_images/notebooks_Tutorial-ExactECT_4_0.png b/docs/_images/notebooks_Tutorial-ExactECT_4_0.png
new file mode 100644
index 0000000..061dee7
Binary files /dev/null and b/docs/_images/notebooks_Tutorial-ExactECT_4_0.png differ
diff --git a/docs/_images/notebooks_Tutorial-ExactECT_6_2.png b/docs/_images/notebooks_Tutorial-ExactECT_6_2.png
new file mode 100644
index 0000000..5291af3
Binary files /dev/null and b/docs/_images/notebooks_Tutorial-ExactECT_6_2.png differ
diff --git a/docs/_modules/ect/ect_graph.html b/docs/_modules/ect/ect_graph.html
index 7823890..0f6c85d 100644
--- a/docs/_modules/ect/ect_graph.html
+++ b/docs/_modules/ect/ect_graph.html
@@ -80,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="../../notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="../../notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../../contributing.html">4. Contributing</a><ul>
diff --git a/docs/_modules/ect/embed_cw.html b/docs/_modules/ect/embed_cw.html
index 88a151e..e612836 100644
--- a/docs/_modules/ect/embed_cw.html
+++ b/docs/_modules/ect/embed_cw.html
@@ -80,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="../../notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="../../notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../../contributing.html">4. Contributing</a><ul>
@@ -246,13 +247,13 @@ <h1>Source code for ect.embed_cw</h1><div class="highlight"><pre>
 
 <span class="sd">        .. math ::</span>
 
-<span class="sd">            g_\omega(\sigma) = \max \{ g_\omega(v) \mid  v \in \sigma \}</span>
+<span class="sd">            g_\\omega(\\sigma) = \\max \\{ g_\\omega(v) \\mid  v \\in \\sigma \\}</span>
 
-<span class="sd">        in the direction of :math:`\\theta \in [0,2\pi]` .</span>
+<span class="sd">        in the direction of :math:`\\theta \\in [0,2\\pi]` .</span>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            theta (float):</span>
-<span class="sd">                The angle in :math:`[0,2\pi]` for the direction to sort the edges.</span>
+<span class="sd">                The angle in :math:`[0,2\\pi]` for the direction to sort the edges.</span>
 <span class="sd">            return_g (bool):</span>
 <span class="sd">                Whether to return the :math:`g(v)` values along with the sorted edges.</span>
 
@@ -280,7 +281,7 @@ <h1>Source code for ect.embed_cw</h1><div class="highlight"><pre>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            theta (float):</span>
-<span class="sd">                The angle in :math:`[0,2\pi]` for the direction to sort the edges.</span>
+<span class="sd">                The angle in :math:`[0,2\\pi]` for the direction to sort the edges.</span>
 <span class="sd">            ax (matplotlib.axes.Axes):</span>
 <span class="sd">                The axes to plot the graph on. If None, a new figure is created.</span>
 <span class="sd">            **kwargs:</span>
diff --git a/docs/_modules/ect/embed_graph.html b/docs/_modules/ect/embed_graph.html
index 69d99e2..5e6c0c7 100644
--- a/docs/_modules/ect/embed_graph.html
+++ b/docs/_modules/ect/embed_graph.html
@@ -80,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="../../notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="../../notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../../contributing.html">4. Contributing</a><ul>
@@ -158,7 +159,7 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.add_node">[docs]</a>
     <span class="k">def</span> <span class="nf">add_node</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vertex</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;Add a vertex to the graph. </span>
-<span class="sd">        If the vertex name is given as None, it will be assigned via the next_vert_name method.</span>
+<span class="sd">        If the vertex name is given as None, it will be assigned via the ``next_vert_name`` method.</span>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            vertex (hashable like int or str, or None) : The name of the vertex to add.</span>
@@ -203,7 +204,7 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot; </span>
 <span class="sd">        Making a simple name generator for vertices. </span>
 <span class="sd">        If you&#39;re using integers, it will just up the count by one. </span>
-<span class="sd">        Letters will be incremented in the alphabet. If you reach &#39;Z&#39;, it will return &#39;AA&#39;. If you reach &#39;ZZ&#39;, it will return &#39;AAA&#39;, etc.</span>
+<span class="sd">        Letters will be incremented in the alphabet. If you reach ``Z``, it will return ``AA``. If you reach ``ZZ``, it will return ``AAA``, etc.</span>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            s (str or int): The name of the vertex to increment.</span>
@@ -335,7 +336,7 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <span class="sd">        Method to find a bounding box of the vertex coordinates in the graph.</span>
 
 <span class="sd">        Returns:</span>
-<span class="sd">            list: A list of tuples representing the minimum and maximum x and y coordinates.</span>
+<span class="sd">            list: A list of tuples representing the minimum and maximum :math:`x` and :math:`y` coordinates.</span>
 
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="p">:</span>
@@ -349,13 +350,13 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.get_center">[docs]</a>
     <span class="k">def</span> <span class="nf">get_center</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s1">&#39;origin&#39;</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Calculate and return the center of the graph. This can be done by either returning the average of the coordiantes (`mean`), the center of the bounding box (`min_max`), or the origin (`origin`).</span>
+<span class="sd">        Calculate and return the center of the graph. This can be done by either returning the average of the coordiantes (``mean``), the center of the bounding box (``min_max``), or the origin (``origin``).</span>
 
 <span class="sd">        Parameters:</span>
-<span class="sd">            type (str): The type of center to calculate. Options are &#39;mean&#39;, &#39;min_max&#39;, or &#39;origin&#39;.</span>
+<span class="sd">            type (str): The type of center to calculate. Options are ``mean``, ``min_max``, or ``origin``.</span>
 
 <span class="sd">        Returns:</span>
-<span class="sd">            numpy.ndarray: The (x, y) coordinates of the center.</span>
+<span class="sd">            numpy.ndarray: The :math:`(x, y)` coordinates of the center.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="p">:</span>
             <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">])</span>
@@ -379,7 +380,7 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <span class="sd">        Method to find the radius of the bounding circle of the vertex coordinates in the graph. </span>
 
 <span class="sd">        Parameters:</span>
-<span class="sd">            type (str): The type of center to calculate the radius relative to. Options are &#39;mean&#39;, &#39;min_max&#39;, or &#39;origin&#39;.</span>
+<span class="sd">            type (str): The type of center to calculate the radius relative to. Options are ``mean``, ``min_max``, or ``origin``.</span>
 
 <span class="sd">        Returns:</span>
 <span class="sd">            float: The radius of the bounding circle.</span>
@@ -404,8 +405,8 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Method to find the centered coordinates of the vertices in the graph.</span>
 
-<span class="sd">        If type is &#39;min_max&#39;, the coordinates are centered at the mean of the min and max values of the x and y coordinates.</span>
-<span class="sd">        If type is &#39;mean&#39;, the coordinates are centered at the mean of the x and y coordinates.</span>
+<span class="sd">        If type is ``min_max``, the coordinates are centered at the mean of the min and max values of the :math:`x` and :math:`y` coordinates.</span>
+<span class="sd">        If type is ``mean``, the coordinates are centered at the mean of the :math:`x` and :math:`y` coordinates.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
 
         <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="p">:</span>
@@ -429,7 +430,7 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.get_scaled_coordinates">[docs]</a>
     <span class="k">def</span> <span class="nf">get_scaled_coordinates</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">radius</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Method to find the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by `radius`.</span>
+<span class="sd">        Method to find the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by ``radius``.</span>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            radius (float):</span>
@@ -455,13 +456,53 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.set_scaled_coordinates">[docs]</a>
     <span class="k">def</span> <span class="nf">set_scaled_coordinates</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">radius</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Method to set the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by `radius`. Warning: This overwrites the original coordinates</span>
+<span class="sd">        Method to set the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by ``radius``. Warning: This overwrites the original coordinates</span>
 
 <span class="sd">        &quot;&quot;&quot;</span>
 
         <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_scaled_coordinates</span><span class="p">(</span><span class="n">radius</span><span class="p">)</span></div>
 
 
+<div class="viewcode-block" id="EmbeddedGraph.rescale_to_unit_disk">
+<a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk">[docs]</a>
+    <span class="k">def</span> <span class="nf">rescale_to_unit_disk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">preserve_center</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">center_type</span><span class="o">=</span><span class="s1">&#39;origin&#39;</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Rescales the graph coordinates to fit within a radius 1 disk.</span>
+
+<span class="sd">        Parameters:</span>
+<span class="sd">            preserve_center (bool): If True, maintains the current center point of type ``center_type``.</span>
+<span class="sd">                                    If False, centers the graph at (0, 0).</span>
+
+<span class="sd">        Returns:</span>
+<span class="sd">            self: Returns the instance for method chaining.</span>
+
+<span class="sd">        Raises:</span>
+<span class="sd">            ValueError: If the graph has no coordinates or all coordinates are identical.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="p">:</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Graph has no coordinates to rescale.&quot;</span><span class="p">)</span>
+
+        <span class="n">center</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_center</span><span class="p">(</span><span class="n">center_type</span><span class="p">)</span>
+        <span class="n">coords</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="o">.</span><span class="n">values</span><span class="p">()))</span>
+
+        <span class="n">coords_centered</span> <span class="o">=</span> <span class="n">coords</span> <span class="o">-</span> <span class="n">center</span>
+
+        <span class="n">max_distance</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">coords_centered</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
+
+        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isclose</span><span class="p">(</span><span class="n">max_distance</span><span class="p">,</span> <span class="mi">0</span><span class="p">):</span>
+            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;All coordinates are identical. Cannot rescale.&quot;</span><span class="p">)</span>
+
+        <span class="n">scale_factor</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">/</span> <span class="n">max_distance</span>
+
+        <span class="n">new_coords</span> <span class="o">=</span> <span class="p">(</span><span class="n">coords_centered</span> <span class="o">*</span> <span class="n">scale_factor</span><span class="p">)</span> <span class="o">+</span> \
+            <span class="p">(</span><span class="n">center</span> <span class="k">if</span> <span class="n">preserve_center</span> <span class="k">else</span> <span class="mi">0</span><span class="p">)</span>
+
+        <span class="k">for</span> <span class="n">vertex</span><span class="p">,</span> <span class="n">new_coord</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="o">.</span><span class="n">keys</span><span class="p">(),</span> <span class="n">new_coords</span><span class="p">):</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="p">[</span><span class="n">vertex</span><span class="p">]</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">new_coord</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="bp">self</span></div>
+
+
 <div class="viewcode-block" id="EmbeddedGraph.get_PCA_coordinates">
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.get_PCA_coordinates">[docs]</a>
     <span class="k">def</span> <span class="nf">get_PCA_coordinates</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
@@ -494,9 +535,9 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
     <span class="k">def</span> <span class="nf">set_PCA_coordinates</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">center_type</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">scale_radius</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Method to set the PCA coordinates of the vertices in the graph which is helpful for coarse alignment. </span>
-<span class="sd">        If you also want to center at zero, the options for `center_type` are `mean` or `min_max`.</span>
-<span class="sd">        Set `scale_radius` to a value to scale to a specific radius.</span>
-<span class="sd">        Warning: This overwrites the original coordinates</span>
+<span class="sd">        If you also want to center at zero, the options for ``center_type`` are ``mean`` or ``min_max``.</span>
+<span class="sd">        Set ``scale_radius`` to a value to scale to a specific radius.</span>
+<span class="sd">        Warning: This overwrites the original coordinates.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_PCA_coordinates</span><span class="p">()</span>
 
@@ -507,16 +548,20 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
             <span class="bp">self</span><span class="o">.</span><span class="n">set_scaled_coordinates</span><span class="p">(</span><span class="n">radius</span><span class="o">=</span><span class="n">scale_radius</span><span class="p">)</span></div>
 
 
+    <span class="c1"># ================</span>
+    <span class="c1"># Functions for computing the function g(v) for vertices and edges</span>
+    <span class="c1"># ================</span>
+
 <div class="viewcode-block" id="EmbeddedGraph.g_omega">
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.g_omega">[docs]</a>
     <span class="k">def</span> <span class="nf">g_omega</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">theta</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Function to compute the function :math:`g_\omega(v)` for all vertices :math:`v` in the graph in the direction of :math:`\\theta \in [0,2\pi]` . This function is defined by :math:`g_\omega(v) = \langle \\texttt{pos}(v), \omega \\rangle` .</span>
+<span class="sd">        Function to compute the function :math:`g_\\omega(v)` for all vertices :math:`v` in the graph in the direction of :math:`\\theta \\in [0,2\\pi]` . This function is defined by :math:`g_\\omega(v) = \\langle \\texttt{pos}(v), \\omega \\rangle` .</span>
 
 <span class="sd">        Parameters:</span>
 
 <span class="sd">            theta (float):</span>
-<span class="sd">                The angle in :math:`[0,2\pi]` for the direction to compute the :math:`g(v)` values.</span>
+<span class="sd">                The angle in :math:`[0,2\\pi]` for the direction to compute the :math:`g(v)` values.</span>
 
 <span class="sd">        Returns:</span>
 
@@ -560,15 +605,15 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.sort_vertices">[docs]</a>
     <span class="k">def</span> <span class="nf">sort_vertices</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">theta</span><span class="p">,</span> <span class="n">return_g</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Function to sort the vertices of the graph according to the function g_omega(v) in the direction of theta \in [0,2*np.pi].</span>
+<span class="sd">        Function to sort the vertices of the graph according to the function `g_omega(v)` in the direction of :math:`\\theta \\in [0,2\\pi]`.</span>
 
 <span class="sd">        TODO: eventually, do we want this to return a sorted list of g values as well? Since we&#39;re already doing the sorting work, it might be helpful.</span>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            theta (float):</span>
-<span class="sd">                The angle in [0,2*np.pi] for the direction to sort the vertices.</span>
+<span class="sd">                The angle in :math:`[0,2 \\pi]` for the direction to sort the vertices.</span>
 <span class="sd">            return_g (bool):</span>
-<span class="sd">                Whether to return the g(v) values along with the sorted vertices.</span>
+<span class="sd">                Whether to return the :math:`g(v)` values along with the sorted vertices.</span>
 
 <span class="sd">        Returns:</span>
 <span class="sd">            list</span>
@@ -595,13 +640,13 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 
 <span class="sd">        .. math ::</span>
 
-<span class="sd">            g_\omega(e) = \max \{ g_\omega(v) \mid  v \in e \}</span>
+<span class="sd">            g_\\omega(e) = \\max \\{ g_\\omega(v) \\mid  v \in e \\}</span>
 
-<span class="sd">        in the direction of :math:`\\theta \in [0,2\pi]` .</span>
+<span class="sd">        in the direction of :math:`\\theta \\in [0,2\\pi]` .</span>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            theta (float):</span>
-<span class="sd">                The angle in :math:`[0,2\pi]` for the direction to sort the edges.</span>
+<span class="sd">                The angle in :math:`[0,2\\pi]` for the direction to sort the edges.</span>
 <span class="sd">            return_g (bool):</span>
 <span class="sd">                Whether to return the :math:`g(v)` values along with the sorted edges.</span>
 
@@ -625,7 +670,7 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.lower_edges">[docs]</a>
     <span class="k">def</span> <span class="nf">lower_edges</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">v</span><span class="p">,</span> <span class="n">omega</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Function to compute the number of lower edges of a vertex v for a specific direction (included by the use of sorted v_list).</span>
+<span class="sd">        Function to compute the number of lower edges of a vertex `v` for a specific direction (included by the use of sorted `v_list`).</span>
 
 <span class="sd">        Parameters:</span>
 <span class="sd">            v (str):</span>
@@ -643,11 +688,117 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="nb">sum</span><span class="p">(</span><span class="n">n</span> <span class="o">&gt;=</span> <span class="n">gv</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">Lg</span><span class="p">)</span>  <span class="c1"># includes possible duplicate counts</span></div>
 
 
+    <span class="c1"># ================</span>
+    <span class="c1"># Functions for getting the angles where vertices switch order</span>
+    <span class="c1"># ================</span>
+
+<div class="viewcode-block" id="EmbeddedGraph.get_all_normals_matrix">
+<a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.get_all_normals_matrix">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_all_normals_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">num_rounding_digits</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Function to get all angles of normals to any line between vertices in the graph, returned as a matrix. Note this includes both adjacent vertices and non-adjacent. This function is useful for knowing the angle of the circle where two vertices switch in order. </span>
+
+<span class="sd">        Parameters:</span>
+<span class="sd">            num_rounding_digits (int):</span>
+<span class="sd">                The number of digits to round the angles in the matrix. If `None`, no rounding is done. </span>
+
+<span class="sd">        Returns:</span>
+<span class="sd">            A tuple consissting of a matrix of angles, and the sorted label list for the rows/columns.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="n">P</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="o">.</span><span class="n">values</span><span class="p">()))</span>
+        <span class="n">labels</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+
+        <span class="c1"># Make rows of repeated copies of first column of P</span>
+        <span class="n">X_Cols</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">P</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">],</span> <span class="p">(</span><span class="n">P</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span><span class="o">.</span><span class="n">T</span>
+        <span class="n">X_diff</span> <span class="o">=</span> <span class="n">X_Cols</span> <span class="o">-</span> <span class="n">X_Cols</span><span class="o">.</span><span class="n">T</span>  <span class="c1"># The x value of the vector from A to B</span>
+
+        <span class="c1"># Make rows of repeated copies of second column of P</span>
+        <span class="n">Y_Cols</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">P</span><span class="p">[:,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">(</span><span class="n">P</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span><span class="o">.</span><span class="n">T</span>
+        <span class="n">Y_diff</span> <span class="o">=</span> <span class="n">Y_Cols</span> <span class="o">-</span> <span class="n">Y_Cols</span><span class="o">.</span><span class="n">T</span>
+
+        <span class="c1"># Convert to float to allow NaN assignment</span>
+        <span class="n">X_diff</span> <span class="o">=</span> <span class="n">X_diff</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
+        <span class="n">Y_diff</span> <span class="o">=</span> <span class="n">Y_diff</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
+
+        <span class="c1"># Set diagonals to nan</span>
+        <span class="n">np</span><span class="o">.</span><span class="n">fill_diagonal</span><span class="p">(</span><span class="n">X_diff</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+        <span class="n">np</span><span class="o">.</span><span class="n">fill_diagonal</span><span class="p">(</span><span class="n">Y_diff</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
+
+        <span class="n">angle_matrix</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arctan2</span><span class="p">(</span><span class="n">X_diff</span><span class="p">,</span> <span class="o">-</span><span class="n">Y_diff</span><span class="p">)</span>
+        <span class="c1"># Puts all entries between 0 and 2pi</span>
+        <span class="n">angle_matrix</span> <span class="o">=</span> <span class="n">angle_matrix</span> <span class="o">%</span> <span class="p">(</span><span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">num_rounding_digits</span> <span class="o">!=</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">angle_matrix</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">angle_matrix</span><span class="p">,</span> <span class="n">num_rounding_digits</span><span class="p">)</span>
+
+        <span class="k">return</span> <span class="n">angle_matrix</span><span class="p">,</span> <span class="n">labels</span></div>
+
+
+<div class="viewcode-block" id="EmbeddedGraph.get_normals_dict">
+<a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.get_normals_dict">[docs]</a>
+    <span class="k">def</span> <span class="nf">get_normals_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
+                         <span class="n">num_rounding_digits</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+                         <span class="n">edges_only</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                         <span class="n">opposites</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Function to get all angles of normals to any line between vertices in the graph, returned as a dictionary of angles with ``dict[theta]`` returning the list of pairs of vertices with vector normal to :math:`\\overrightarrow{AB}` at angle ``theta``. Note this includes both adjacent vertices and non-adjacent unless ``edges_only`` is set to ``True``. This function is useful for knowing the angle of the circle where two vertices switch in order, especially when we want to sort the events around the circle. All angles are rounded to the number of digits given by ``num_rounding_digits``, and are returned in the range :math:`[0, 2\\pi]` .</span>
+
+<span class="sd">        Parameters:</span>
+<span class="sd">            num_rounding_digits (int):</span>
+<span class="sd">                The number of digits to round the angles in the dictionary. If None, no rounding is done.</span>
+<span class="sd">            edges_only (bool):</span>
+<span class="sd">                If True, the dictionary version only returns the angle of the normals to the lines between vertices sharing an edge. The matrix version is unchanged.</span>
+<span class="sd">            opposites (bool):</span>
+<span class="sd">                If True, will also include both :math:`\\theta` and :math:`\\theta + \\pi` in the dictionary keys.</span>
+
+<span class="sd">        Returns:</span>
+<span class="sd">            dict: A dictionary of angles with `dict[theta]` returning the list of pairs of vertices with vector normal to :math:`\\overrightarrow\\{AB\\}` at angle `theta`, e.g. ``dict[theta] = [(&#39;A&#39;,&#39;B&#39;), (&#39;C&#39;, &#39;D&#39;)]``.</span>
+<span class="sd">        &quot;&quot;&quot;</span>
+
+        <span class="n">angle_matrix</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_all_normals_matrix</span><span class="p">(</span>
+            <span class="n">num_rounding_digits</span><span class="o">=</span><span class="n">num_rounding_digits</span><span class="p">)</span>
+
+        <span class="n">angle_dict</span> <span class="o">=</span> <span class="p">{}</span>
+        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">labels</span><span class="p">)):</span>
+            <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">labels</span><span class="p">)):</span>
+                <span class="c1"># Skip this edge if edges_only is True and the vertices are not connected</span>
+                <span class="k">if</span> <span class="n">edges_only</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">has_edge</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">labels</span><span class="p">[</span><span class="n">j</span><span class="p">]):</span>
+                    <span class="k">continue</span>
+
+                <span class="k">if</span> <span class="n">angle_matrix</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]</span> <span class="ow">in</span> <span class="n">angle_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+                    <span class="n">angle_dict</span><span class="p">[</span><span class="n">angle_matrix</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                        <span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">labels</span><span class="p">[</span><span class="n">j</span><span class="p">]))</span>
+                <span class="k">elif</span> <span class="n">angle_matrix</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="n">i</span><span class="p">]</span> <span class="ow">in</span> <span class="n">angle_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+                    <span class="n">angle_dict</span><span class="p">[</span><span class="n">angle_matrix</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="n">i</span><span class="p">]]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
+                        <span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">j</span><span class="p">],</span> <span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>
+                <span class="k">else</span><span class="p">:</span>
+                    <span class="n">angle_dict</span><span class="p">[</span><span class="n">angle_matrix</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">]]</span> <span class="o">=</span> <span class="p">[</span>
+                        <span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">labels</span><span class="p">[</span><span class="n">j</span><span class="p">])]</span>
+
+        <span class="k">if</span> <span class="n">opposites</span><span class="p">:</span>
+            <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">angle_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">()):</span>
+                <span class="n">other_key</span> <span class="o">=</span> <span class="n">key</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">%</span> <span class="p">(</span><span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">)</span>
+                <span class="k">if</span> <span class="n">num_rounding_digits</span> <span class="o">!=</span> <span class="kc">None</span><span class="p">:</span>
+                    <span class="n">other_key</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span><span class="n">other_key</span><span class="p">,</span> <span class="n">num_rounding_digits</span><span class="p">)</span>
+                <span class="n">angle_dict</span><span class="p">[</span><span class="n">other_key</span><span class="p">]</span> <span class="o">=</span> <span class="n">angle_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+        <span class="c1"># Make sure all keys are in the range [0, 2pi]</span>
+        <span class="n">angle_dict</span> <span class="o">=</span> <span class="p">{</span><span class="n">key</span> <span class="o">%</span> <span class="p">(</span><span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">):</span> <span class="n">value</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span>
+                      <span class="n">value</span> <span class="ow">in</span> <span class="n">angle_dict</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+
+        <span class="c1"># Make sure all keys are rounded to the correct number of digits</span>
+        <span class="k">if</span> <span class="n">num_rounding_digits</span> <span class="o">!=</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">angle_dict</span> <span class="o">=</span> <span class="p">{</span><span class="nb">round</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="n">num_rounding_digits</span><span class="p">)</span>                          <span class="p">:</span> <span class="n">value</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">angle_dict</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+
+        <span class="k">return</span> <span class="n">angle_dict</span></div>
+
+
+    <span class="c1"># ================</span>
+    <span class="c1"># Plotting functions</span>
+    <span class="c1"># ================</span>
 <div class="viewcode-block" id="EmbeddedGraph.plot">
 <a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.plot">[docs]</a>
     <span class="k">def</span> <span class="nf">plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
              <span class="n">bounding_circle</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
-             <span class="n">bounding_center_type</span><span class="o">=</span><span class="s1">&#39;origin&#39;</span><span class="p">,</span>
              <span class="n">color_nodes_theta</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
              <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
              <span class="n">with_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
@@ -655,12 +806,13 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">        Function to plot the graph with the embedded coordinates.</span>
 
-<span class="sd">        If ``bounding_circle`` is True, a bounding circle is drawn around the graph. This is centered at the center type defined by ``bounding_center_type``.</span>
+<span class="sd">        If ``bounding_circle`` is True, a bounding circle is drawn around the graph.</span>
 
-<span class="sd">        If ``color_nodes_theta`` is not None, it should be given as a theta in :math:`[0,2\pi]`. Then the nodes are colored according to the :math:`g(v)` values in the direction of theta.</span>
+<span class="sd">        If ``color_nodes_theta`` is not ``None``, it should be given as a :math:`theta` in :math:`[0,2\\pi]`. Then the nodes are colored according to the :math:`g(v)` values in the direction of :math:`\\theta`.</span>
 
-<span class="sd">        If with_labels is True, the nodes are labeled with their names.</span>
+<span class="sd">        If ``with_labels`` is ``True``, the nodes are labeled with their names.</span>
 
+<span class="sd">        If ``ax`` is not ``None``, the plot is drawn on the given axis.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
         <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
             <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
@@ -688,58 +840,101 @@ <h1>Source code for ect.embed_graph</h1><div class="highlight"><pre>
                        <span class="n">labelleft</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">labelbottom</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 
         <span class="k">if</span> <span class="n">bounding_circle</span><span class="p">:</span>
-            <span class="n">circle_center</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_center</span><span class="p">(</span><span class="n">bounding_center_type</span><span class="p">)</span>
-            <span class="n">r</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bounding_radius</span><span class="p">(</span><span class="nb">type</span><span class="o">=</span><span class="n">bounding_center_type</span><span class="p">)</span>
-            <span class="n">circle</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">Circle</span><span class="p">(</span><span class="n">circle_center</span><span class="p">,</span> <span class="n">r</span><span class="p">,</span> <span class="n">fill</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
-                                <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span>
-            <span class="n">ax</span><span class="o">.</span><span class="n">add_patch</span><span class="p">(</span><span class="n">circle</span><span class="p">)</span>
-
-            <span class="c1"># Always adjust the plot limits to show the full graph</span>
-            <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">r</span><span class="p">,</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">r</span><span class="p">)</span>
-            <span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">r</span><span class="p">,</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">r</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">plot_bounding_circle</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
+
         <span class="n">ax</span><span class="o">.</span><span class="n">set_aspect</span><span class="p">(</span><span class="s1">&#39;equal&#39;</span><span class="p">,</span> <span class="s1">&#39;box&#39;</span><span class="p">)</span>
 
         <span class="k">return</span> <span class="n">ax</span></div>
 
 
-<div class="viewcode-block" id="EmbeddedGraph.rescale_to_unit_disk">
-<a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk">[docs]</a>
-    <span class="k">def</span> <span class="nf">rescale_to_unit_disk</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">preserve_center</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">center_type</span><span class="o">=</span><span class="s1">&#39;origin&#39;</span><span class="p">):</span>
+<div class="viewcode-block" id="EmbeddedGraph.plot_bounding_circle">
+<a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.plot_bounding_circle">[docs]</a>
+    <span class="k">def</span> <span class="nf">plot_bounding_circle</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">bounding_center_type</span><span class="o">=</span><span class="s1">&#39;origin&#39;</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
 <span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="sd">        Rescales the graph coordinates to fit within a radius 1 disk.</span>
+<span class="sd">        Function to plot the bounding circle of the graph. </span>
 
-<span class="sd">        Parameters:</span>
-<span class="sd">            preserve_center (bool): If True, maintains the current center point of type ``center_type``.</span>
-<span class="sd">                                    If False, centers the graph at (0, 0).</span>
+<span class="sd">        If ``ax`` is not None, the plot is drawn on the given axis.</span>
+
+<span class="sd">        If ``bounding_center_type`` is &#39;origin&#39;, the bounding circle is centered at the origin. If it is ``min_max``, the bounding circle is centered at the mean of the min and max values of the :math:`x` and :math`y` coordinates.</span>
 
-<span class="sd">        Returns:</span>
-<span class="sd">            self: Returns the instance for method chaining.</span>
 
-<span class="sd">        Raises:</span>
-<span class="sd">            ValueError: If the graph has no coordinates or all coordinates are identical.</span>
 <span class="sd">        &quot;&quot;&quot;</span>
-        <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="p">:</span>
-            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Graph has no coordinates to rescale.&quot;</span><span class="p">)</span>
+        <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">fig</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_figure</span><span class="p">()</span>
 
-        <span class="n">center</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_center</span><span class="p">(</span><span class="n">center_type</span><span class="p">)</span>
-        <span class="n">coords</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="o">.</span><span class="n">values</span><span class="p">()))</span>
+        <span class="n">circle_center</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_center</span><span class="p">(</span><span class="n">bounding_center_type</span><span class="p">)</span>
+        <span class="n">r</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bounding_radius</span><span class="p">(</span><span class="nb">type</span><span class="o">=</span><span class="n">bounding_center_type</span><span class="p">)</span>
+        <span class="n">circle</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">Circle</span><span class="p">(</span><span class="n">circle_center</span><span class="p">,</span> <span class="n">r</span><span class="p">,</span> <span class="n">fill</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                            <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">add_patch</span><span class="p">(</span><span class="n">circle</span><span class="p">)</span>
 
-        <span class="n">coords_centered</span> <span class="o">=</span> <span class="n">coords</span> <span class="o">-</span> <span class="n">center</span>
+        <span class="c1"># Always adjust the plot limits to show the full graph</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">r</span><span class="p">,</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">r</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">r</span><span class="p">,</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">r</span><span class="p">)</span></div>
 
-        <span class="n">max_distance</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">coords_centered</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
 
-        <span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">isclose</span><span class="p">(</span><span class="n">max_distance</span><span class="p">,</span> <span class="mi">0</span><span class="p">):</span>
-            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;All coordinates are identical. Cannot rescale.&quot;</span><span class="p">)</span>
+<div class="viewcode-block" id="EmbeddedGraph.plot_angle_circle">
+<a class="viewcode-back" href="../../embed_graph.html#ect.embed_graph.EmbeddedGraph.plot_angle_circle">[docs]</a>
+    <span class="k">def</span> <span class="nf">plot_angle_circle</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">edges_only</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="w">        </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">        Function to plot the circle of angles for the graph. </span>
 
-        <span class="n">scale_factor</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">/</span> <span class="n">max_distance</span>
+<span class="sd">        Example Usage: </span>
 
-        <span class="n">new_coords</span> <span class="o">=</span> <span class="p">(</span><span class="n">coords_centered</span> <span class="o">*</span> <span class="n">scale_factor</span><span class="p">)</span> <span class="o">+</span> \
-            <span class="p">(</span><span class="n">center</span> <span class="k">if</span> <span class="n">preserve_center</span> <span class="k">else</span> <span class="mi">0</span><span class="p">)</span>
+<span class="sd">        .. code-block:: python</span>
 
-        <span class="k">for</span> <span class="n">vertex</span><span class="p">,</span> <span class="n">new_coord</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="o">.</span><span class="n">keys</span><span class="p">(),</span> <span class="n">new_coords</span><span class="p">):</span>
-            <span class="bp">self</span><span class="o">.</span><span class="n">coordinates</span><span class="p">[</span><span class="n">vertex</span><span class="p">]</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">new_coord</span><span class="p">)</span>
+<span class="sd">            fig, ax = plt.subplots()</span>
+<span class="sd">            G.plot(ax = ax)</span>
+<span class="sd">            G.plot_angle_circle(ax = ax)</span>
 
-        <span class="k">return</span> <span class="bp">self</span></div>
+<span class="sd">        &quot;&quot;&quot;</span>
+        <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+            <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">fig</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_figure</span><span class="p">()</span>
+
+        <span class="n">circle_center</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_center</span><span class="p">(</span><span class="nb">type</span><span class="o">=</span><span class="s1">&#39;min_max&#39;</span><span class="p">)</span>
+        <span class="n">r</span> <span class="o">=</span> <span class="mf">1.3</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_bounding_radius</span><span class="p">(</span><span class="nb">type</span><span class="o">=</span><span class="s1">&#39;min_max&#39;</span><span class="p">)</span>
+        <span class="n">circle</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">Circle</span><span class="p">(</span><span class="n">circle_center</span><span class="p">,</span> <span class="n">r</span><span class="p">,</span> <span class="n">fill</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                            <span class="n">linestyle</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">add_patch</span><span class="p">(</span><span class="n">circle</span><span class="p">)</span>
+
+        <span class="c1"># Get all the angles with the labels to be drawn</span>
+        <span class="n">angles_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_normals_dict</span><span class="p">(</span>
+            <span class="n">edges_only</span><span class="o">=</span><span class="n">edges_only</span><span class="p">,</span> <span class="n">opposites</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+        <span class="n">angles_dict_labels</span> <span class="o">=</span> <span class="p">{</span><span class="n">key</span><span class="p">:</span> <span class="s1">&#39;, &#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
+            <span class="p">[</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">a</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}{</span><span class="n">a</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s2">&quot;</span> <span class="k">for</span> <span class="n">a</span> <span class="ow">in</span> <span class="n">value</span><span class="p">])</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">angles_dict</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
+
+        <span class="c1"># Draw hash marks on the circle</span>
+        <span class="n">hash_length</span> <span class="o">=</span> <span class="mf">0.1</span><span class="o">*</span><span class="n">r</span>  <span class="c1"># Length of the hash marks</span>
+        <span class="k">for</span> <span class="n">angle</span> <span class="ow">in</span> <span class="n">angles_dict_labels</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+            <span class="n">x_start</span> <span class="o">=</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> \
+                <span class="p">(</span><span class="n">r</span><span class="o">-</span><span class="n">hash_length</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+            <span class="n">y_start</span> <span class="o">=</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> \
+                <span class="p">(</span><span class="n">r</span><span class="o">-</span><span class="n">hash_length</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+            <span class="n">x_end</span> <span class="o">=</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> \
+                <span class="p">(</span><span class="n">r</span> <span class="o">+</span> <span class="n">hash_length</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+            <span class="n">y_end</span> <span class="o">=</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> \
+                <span class="p">(</span><span class="n">r</span> <span class="o">+</span> <span class="n">hash_length</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+            <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="n">x_start</span><span class="p">,</span> <span class="n">x_end</span><span class="p">],</span> <span class="p">[</span><span class="n">y_start</span><span class="p">,</span> <span class="n">y_end</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">)</span>
+
+            <span class="c1"># Add labels near the hash marks</span>
+            <span class="n">scaling</span> <span class="o">=</span> <span class="mi">3</span>
+            <span class="n">label_x</span> <span class="o">=</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> \
+                <span class="p">(</span><span class="n">r</span> <span class="o">+</span> <span class="n">scaling</span> <span class="o">*</span> <span class="n">hash_length</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+            <span class="n">label_y</span> <span class="o">=</span> <span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> \
+                <span class="p">(</span><span class="n">r</span> <span class="o">+</span> <span class="n">scaling</span> <span class="o">*</span> <span class="n">hash_length</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+            <span class="n">text_angle</span> <span class="o">=</span> <span class="n">angle</span> <span class="k">if</span> <span class="n">angle</span> <span class="o">&lt;=</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="o">/</span><span class="mi">2</span> <span class="ow">or</span> <span class="n">angle</span> <span class="o">&gt;=</span> <span class="mi">3</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="o">/</span><span class="mi">2</span> <span class="k">else</span> <span class="n">angle</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span>
+            <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">label_x</span><span class="p">,</span> <span class="n">label_y</span><span class="p">,</span>
+                    <span class="n">angles_dict_labels</span><span class="p">[</span><span class="n">angle</span><span class="p">],</span> <span class="n">ha</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">degrees</span><span class="p">(</span><span class="n">text_angle</span><span class="p">),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">8</span><span class="p">)</span>
+        <span class="c1"># Always adjust the plot limits to show the full graph</span>
+        <span class="n">scale_factor</span> <span class="o">=</span> <span class="mf">1.5</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">scale_factor</span><span class="o">*</span><span class="n">r</span><span class="p">,</span>
+                    <span class="n">circle_center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">scale_factor</span><span class="o">*</span><span class="n">r</span><span class="p">)</span>
+        <span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">scale_factor</span><span class="o">*</span><span class="n">r</span><span class="p">,</span>
+                    <span class="n">circle_center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">scale_factor</span><span class="o">*</span><span class="n">r</span><span class="p">)</span></div>
 </div>
 
 
diff --git a/docs/_modules/index.html b/docs/_modules/index.html
index 1a06c7a..b82492b 100644
--- a/docs/_modules/index.html
+++ b/docs/_modules/index.html
@@ -80,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="../notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="../notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../contributing.html">4. Contributing</a><ul>
diff --git a/docs/_sources/notebooks/Matisse/Matisse_ECT.ipynb.txt b/docs/_sources/notebooks/Matisse/Matisse_ECT.ipynb.txt
index 7db4d29..5b66a5e 100644
--- a/docs/_sources/notebooks/Matisse/Matisse_ECT.ipynb.txt
+++ b/docs/_sources/notebooks/Matisse/Matisse_ECT.ipynb.txt
@@ -95,7 +95,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -139,7 +139,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -169,7 +169,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAAHPCAYAAABX4QCwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAABlYklEQVR4nO3de1wU9f4/8NfKZcELq4iwYIDkMcVLXvACmLdMFK9dTD0WaqnlMSsjjx0qj9r5JtmVvJYek8xS63jBfpqJ5SUTzRuaZqYnDFJW0pQVVK7z+8PD0MruZ1hml2Wn1/PxmMejnc98Zj+zO4vvPjPv9+gkSZJAREREpGH1XD0AIiIiImdjwENERESax4CHiIiINI8BDxEREWkeAx4iIiLSPAY8REREpHkMeIiIiEjzGPAQERGR5jHgISIiIs1jwENUDampqdDpdDaXXbt2WWxfVFSERYsW4Z577kGTJk3g7e2N5s2bY9SoUdi9ezcAoEWLFsJ9ViypqakOOYaXX34ZYWFh8PT0ROPGjW1uN2fOHOh0Oly6dMkh76vW9evXMWfOnCqfsZKLFy/ixRdfRKdOneDn5wdvb2/ccccdePDBB7F582aUlZU5Z8DVMGHCBDRs2NBl70/0Z+Tp6gEQuZOVK1eiTZs2Vda3bdtW/u9Lly5h0KBBOH78OB5//HH8/e9/h7+/P86fP4+0tDT0798fhw8fxsaNG1FUVCT3+/e//40VK1Zg27ZtMBgM8vqWLVuqHndaWhpeffVVvPTSS4iPj4der1e9z9py/fp1zJ07FwDQt2/favXZv38/hg8fDkmS8Le//Q3R0dFo2LAhsrOz8fnnn+PBBx/E+++/j4kTJzpx5ERUlzDgIbJD+/bt0bVrV+E248aNw7Fjx/Dll1/i3nvvtWgbM2YMEhMT0aRJE4SFhVm0bdu2DQAQFRWFgIAAh477xIkTAIBnnnkGgYGBDt13XXP16lXcf//9aNiwIb799lsEBwdbtD/66KM4fvw4Ll++LNzPjRs34OPjA51O58zhElEt4SUtIgc6fPgwvvjiC0ycOLFKsFOhW7duVYKdmiovL8frr7+ONm3aQK/XIzAwEOPGjcOvv/4qb9OiRQu8/PLLAICgoCDodDrMmTPHrvfp27cv2rdvj4MHD6JXr16oX78+7rzzTrz22msoLy+Xt9u1axd0Oh1Wr16NxMREGI1G+Pr6ok+fPjh69GiVfVqbsZkwYQJatGgBADh37hyaNWsGAJg7d658mW/ChAk2x7p8+XJcvHgRr7/+epVgp8Ldd9+Nfv36ya8rLllu374djz/+OJo1a4b69eujqKgIZ8+exWOPPYZWrVqhfv36aN68OYYNG4bvv//eYp/2HHuFs2fPYvDgwWjYsCFCQ0Px/PPPW8z6EZHjMOAhskNZWRlKS0stlj/eC7J9+3YAwP33318r4/nb3/6GF154AQMGDMDmzZvxr3/9C9u2bUNsbKx8D87GjRvlSzfbtm1DRkYGJk2aZPd7mUwmPPLII3j00UexefNmxMfHIykpCatXr66y7Ysvvoiff/4Z//73v/Hvf/8bFy5cQN++ffHzzz/b9Z7BwcHyzNfEiRORkZGBjIwMzJo1y2af9PR0eHh4YPDgwfYdIIDHH38cXl5e+Oijj/Cf//wHXl5euHDhApo2bYrXXnsN27Ztw+LFi+Hp6YkePXrg9OnTVfZR3WMvKSnB8OHD0b9/f6SlpeHxxx/HO++8g/nz59s9biKqBomIFK1cuVICYHXx8PCQt5syZYoEQPrxxx/tfo/Zs2dLAKTffvutWtufOnVKAiBNnTrVYv2BAwckANKLL75Yo31b27ZPnz4SAOnAgQMW27Zt21YaOHCg/Hrnzp0SAKlLly5SeXm5vP7cuXOSl5eXNGnSJIt99unTp8r7jx8/XgoPD5df//bbbxIAafbs2YpjlyRJatOmjWQ0GqusLysrk0pKSuSlrKxMbqv4fseNG6e4/9LSUqm4uFhq1aqV9Nxzz8nr7Tn28ePHSwCkTz/91GLfgwcPllq3bl2t4yQi+3CGh8gOq1atwsGDBy2WAwcOuGQsO3fuBIAql3e6d++OyMhIfPXVVw59P6PRiO7du1usu/vuu/HLL79U2Xbs2LEW976Eh4cjNjZWHrMrJCYmwsvLS16GDx9eZZuHHnqoyrrS0lLMmzcPbdu2hbe3Nzw9PeHt7Y0zZ87g1KlTVbav7rHrdDoMGzbMYp2tz5OI1ONNy0R2iIyMFN60XHFvTlZWFlq3bu3UsVTcdGvtPpWQkBCH/8PZtGnTKuv0ej1u3LhRZb3RaLS67tixYw4dkzVhYWE4c+YMrl+/jvr168vrn3/+eTz66KMAYDXYAax/lomJiVi8eDFeeOEF9OnTB02aNEG9evUwadIkVcdev359+Pj4WKzT6/W4efOm8kESkd04w0PkQAMHDgQAbNq0yenvVRGA5ObmVmm7cOGCwzO97GEymayu+2PQ5OPjY/UGXbX1fwYMGICysjJs3brVYn1oaCi6du2Krl27wtvb22pfaxlZq1evxrhx4zBv3jwMHDgQ3bt3R9euXW2OszrHTkS1jwEPkQN16dIF8fHxWLFiBb7++mur2xw6dAjZ2dmq36siC+z2m4YPHjyIU6dOoX///qrfo6bWrFkDSZLk17/88gv27dtnkZXVokUL/PTTTxZBz+XLl7Fv3z6LfVXUDLI2m2LNpEmTEBQUhJkzZ1oNBu2l0+mq1C3asmULzp8/b3X76hw7EdU+XtIissOJEydQWlpaZX3Lli3l9OlVq1Zh0KBBiI+Px+OPP474+Hg0adIEubm5+Pzzz7FmzRocPnxYdWp669at8cQTT2DhwoWoV68e4uPjce7cOcyaNQuhoaF47rnnVO1fjby8PDzwwAOYPHky8vPzMXv2bPj4+CApKUneJiEhAe+//z4effRRTJ48GZcvX8brr78OPz8/i301atQI4eHhctFGf39/BAQEyKnrt2vcuDE2bdqEYcOGoWPHjhaFBy9fvow9e/bAZDIhNja2WscydOhQpKamok2bNrj77rtx+PBhvPHGG7jjjjtqfOxEVPsY8BDZ4bHHHrO6fvny5XKqd0BAAPbu3Yvly5djzZo1+OSTT3D9+nUEBgYiOjoamzdvRseOHR0ynqVLl6Jly5ZYsWIFFi9eDIPBgEGDBiE5Odmll1DmzZuHgwcP4rHHHoPZbEb37t2xdu1ai6rRPXv2xIcffojXXnsNI0aMwJ133onZs2dj69atVR4jsWLFCvz973/H8OHDUVRUhPHjxwsfuREdHY0TJ07g3XffxaZNm/DWW2+huLgYzZo1Q1RUFJYvX46//vWv1TqWd999F15eXkhOTkZBQQG6dOmCDRs2yLWNanLsRFT7dNIf516JiFTYtWsX+vXrh88++wwjR4509XBq1Z/52IncAe/hISIiIs1jwENERESax0taREREpHmc4SEiIiLNY8BDREREmseAh4iIiDSPdXgcoLy8HBcuXECjRo2slqYnIiKqIEkSrl27hpCQENSr57x5h5s3b6K4uFj1fry9vas8980tufBJ7XbbvXu3NHToUCk4OFgCIG3cuFGxz65du6QuXbpIer1eioiIkJYuXVplm//85z9SZGSk5O3tLUVGRkobNmywa1w5OTkSAC5cuHDhwqXaS05Ojl3/1tjjxo0bkjHQwyHjNBqN0o0bN5w21triVjM8hYWF6NixIx577DE89NBDittnZWVh8ODBmDx5MlavXo1vv/0WU6dORbNmzeT+GRkZGD16NP71r3/hgQcewMaNGzFq1Cjs3bsXPXr0qNa4GjVqBAC4B4PhCa+aHyAREWleKUqwF1vlfzucobi4GKa8MmQdDodfo5rPIpmvlSMi6hcUFxe7/SyP26al63Q6bNy4Effff7/NbV544QVs3rwZp06dktdNmTIFx44dQ0ZGBgBg9OjRMJvN+OKLL+RtBg0ahCZNmmDNmjVW91tUVGTxwEOz2YzQ0FD0xQh46hjwEBGRbaVSCXYhDfn5+VWeHecoZrMZBoMBl3+KUB3wNL0ry6ljrS2avmk5IyMDcXFxFusGDhyIQ4cOoaSkRLjN7U9s/qPk5GQYDAZ5CQ0NdfzgiYiIVCqTylUvWqHpgMdkMiEoKMhiXVBQEEpLS3Hp0iXhNiaTyeZ+k5KSkJ+fLy85OTmOHzwREZFK5ZBUL1rhVvfw1MTtWVMVV/D+uN7aNqJsK71eD71e78BREhERkTNpOuAxGo1VZmry8vLg6emJpk2bCre5fdaHiIjI3ZSjHGouSqnrXbdoOuCJiYnB559/brFu+/bt6Nq1K7y8vORt0tPT8dxzz1lsExsbW6tjJSJlni3CXfbeJaH+wnbdN0draSR/HlKvzsJ2r5zfa2kkVZWe+8Vl722PMklCmYrcJDV96xq3CngKCgpw9uxZ+XVWVhYyMzPh7++PsLAwJCUl4fz581i1ahWAWxlZixYtQmJiIiZPnoyMjAysWLHCIvvq2WefRe/evTF//nyMGDECaWlp2LFjB/bu3Vvrx0dERORIau/D0dI9PG510/KhQ4fQuXNndO58K+pPTExE586d8c9//hMAkJubi+zsbHn7iIgIbN26Fbt27UKnTp3wr3/9CwsWLLCo4RMbG4u1a9di5cqVuPvuu5Gamop169ZVuwYPERER1X1uNcPTt29fiMoGpaamVlnXp08fHDlyRLjfkSNHYuTIkWqHR0REVKeUQ0IZZ3gAuFnAQ0RERNXHS1qV3OqSFhEREVFNcIaHiIhIo5ilVYkBDxERkUaV/29R018rGPAQUZ3h0bix0/YtXc0XtusaG4TtSjVfrg/pbrPNe8t3wr5/VhefFdc7C/nwB2G7M+celM4HpXO17OpVxw2GHIIBDxERkUaVqczSUtO3rmHAQ0REpFFl0q1FTX+tYJYWERERaR5neIiIiDSKNy1XYsBDRESkUeXQoQw6Vf21ggEPERGRRpVLtxY1/bWCAY8DeTQ2wEPnbbWNKYqkFVKvzjXu6/l9lgNHUpUo9VwpzVgpbV2J77eC924RLuxbeu4XVe9dl4nOF6W0c1dSez6I0tYlqRi4qmr3VAMMeIiIiDSqTOUlLTV96xoGPERERBrFgKcS09KJiIhI8zjDQ0REpFHlkg7lkoosLRV96xoGPERERBrFS1qVeEmLiIiINI8zPLXEmU+BRliwsFlnvl7jXWs5XfbPylMhRbok1F/cX5BarpT6DaV2BZJffWF7qWDsnvk3xTtXmYYsopTirPSduPPv0NmlCEisDPVQpmJuo8zO7ZOTk7Fhwwb8+OOP8PX1RWxsLObPn4/WrVvL20iShLlz52LZsmW4cuUKevTogcWLF6Ndu3bCfa9fvx6zZs3Cf//7X7Rs2RKvvvoqHnjggWqPjTM8REREGiX97x6emi6Snffw7N69G0899RT279+P9PR0lJaWIi4uDoWFhfI2r7/+Ot5++20sWrQIBw8ehNFoxIABA3Dt2jWb+83IyMDo0aORkJCAY8eOISEhAaNGjcKBAweqPTadJEkaqqPoGmazGQaDAf0bj4OnjcKDTsUZHrKDS2d4VFKc4TH42GxTnOHJzq3JkBxC6XNz59+hU2e33VSpVIyvrq5Cfn4+/Pz8nPIeFf8uffV9GBo0qvncRuG1cvTvkF3jsf72228IDAzE7t270bt3b0iShJCQEEyfPh0vvPACAKCoqAhBQUGYP38+nnzySav7GT16NMxmM7744gt53aBBg9CkSROsWbOmWmPhDA8REZFGVdy0rGYBbgVQf1yKioqq9f75+bcu5/r73/ofqaysLJhMJsTFxcnb6PV69OnTB/v27bO5n4yMDIs+ADBw4EBhn9sx4CEiItKoMqme6gUAQkNDYTAY5CU5OVnxvSVJQmJiIu655x60b98eAGAymQAAQUFBFtsGBQXJbdaYTCa7+9yONy0TERFpVDl0KFcxt1GOW3e95OTkWFzS0uv1in2nTZuG48ePY+/evVXadDrLe4MkSaqyzhF9/ogBDxEREQn5+fnZdQ/P008/jc2bN2PPnj2444475PVGoxHArRmb4ODK+0/z8vKqzOD8kdForDKbo9TndrykRUREpFGOuoenuiRJwrRp07BhwwZ8/fXXiIiIsGiPiIiA0WhEenq6vK64uBi7d+9GbGyszf3GxMRY9AGA7du3C/vcjjM8DqQz+EFXT3ma73ZKNToUM19UZGEpUcqwKLt61WnvTbYVD+lus83325+EfRVrwijVoxFlBSqci4oZYEqZVApU9VfIdnRmFpfSdyL16ixs131z1JHDsQuzsKwT/d3WlRcBV2tnHH+8D6dm/e1L5H7qqafwySefIC0tDY0aNZJnZQwGA3x9faHT6TB9+nTMmzcPrVq1QqtWrTBv3jzUr18fY8eOlfczbtw4NG/eXL5X6Nlnn0Xv3r0xf/58jBgxAmlpadixY4fVy2W2MOAhIiIih1i6dCkAoG/fvhbrV65ciQkTJgAAZs6ciRs3bmDq1Kly4cHt27ejUaNG8vbZ2dmoV68yUIuNjcXatWvx8ssvY9asWWjZsiXWrVuHHj16VHtsDHiIiIg06tZNyyoeHlqDS1pKdDod5syZgzlz5tjcZteuXVXWjRw5EiNHjrRrPH/EgIeIiEijylU+WqIiS0sLeNMyERERaR5neIiIiDSqtm9arssY8BAREWlUOeo5pPCgFjDgcaCS5k0geVp/eKEwXVbhgYjOTDtXS+lBlErptmpoOSVeKdVXlHquVMZA8TtRSM++EdrIZpuX2fbDOwH1aeeih4M6XYcIYbPooapqeeX8LmyXnFg+oi6nnSud61d7iM9lwynbvwWlc63Ez0vY7mUusb3v0puA+z4P1m253T08S5YsQUREBHx8fBAVFYVvvvnG5rYTJkyATqersrRr107eJjU11eo2N2+q+8NMRETkamWSTvWiFW4V8Kxbtw7Tp0/HSy+9hKNHj6JXr16Ij49Hdna21e3fffdd5ObmyktOTg78/f3x8MMPW2zn5+dnsV1ubi58fFz4f5JEREQOUPa/LC01i1a41SWtt99+GxMnTsSkSZMAACkpKfjyyy+xdOlSq09urXiqa4VNmzbhypUreOyxxyy20+l08vM9iIiItKJcqodyFTctl2vopmW3Cd2Ki4tx+PBhxMXFWayPi4vDvn37qrWPFStW4L777kN4uOV9JwUFBQgPD8cdd9yBoUOH4uhRcZn2oqIimM1mi4WIiIjqLrcJeC5duoSysrIqT0YNCgqq8gRVa3Jzc/HFF1/Is0MV2rRpg9TUVGzevBlr1qyBj48PevbsiTNnztjcV3Jysjx7ZDAYEBoaWrODIiIiciJe0qrkdkei01neQCVJUpV11qSmpqJx48a4//77LdZHR0fj0UcfRceOHdGrVy98+umnuOuuu7Bw4UKb+0pKSkJ+fr685OTk1OhYiIiInKkc6m5cLnf1ATiQ29zDExAQAA8PjyqzOXl5eVVmfW4nSRI++OADJCQkwNvbW7htvXr10K1bN+EMj16vh15v/1PRiYiIyDXcJuDx9vZGVFQU0tPT8cADD8jr09PTMWLECGHf3bt34+zZs5g4caLi+0iShMzMTHTo0MHuMZY08oLkZb02Q2GI7QCpwYUi4X6VviSdyjo9kqgOkMoaQaprwggo1Qepy3V6fvm/WGH7nZ9eqfG+rwvq5ABAgbG5sL3ZQfF7i+qLuHWdHQVKdVdEdXqU6uiQDQo1oZRup1X62yr826lwLhY3VLpAYvt8KS0pU+jrOOoLD7rdhSCb3CbgAYDExEQkJCSga9euiImJwbJly5CdnY0pU6YAuHWp6fz581i1apVFvxUrVqBHjx5o3759lX3OnTsX0dHRaNWqFcxmMxYsWIDMzEwsXry4Vo6JiIjIWdQ/WoIBj0uMHj0aly9fxiuvvILc3Fy0b98eW7dulbOucnNzq9Tkyc/Px/r16/Huu+9a3efVq1fxxBNPwGQywWAwoHPnztizZw+6d+/u9OMhIiKi2uFWAQ8ATJ06FVOnTrXalpqaWmWdwWDA9eu2py3feecdvPPOO44aHhERUZ1RDh3KUfNqyWr61jVuF/AQERFR9fCSViXtHAkRERGRDZzhISIi0ii1xQO1VHiQAU8t8S6wXb5JKd1VKdVXmFYO9Wnrat5biejqsJqUdUA5bV0pZb4k1N9mm1Ka8fkR4tRvxbTz7Fxxu4hCWrpS2rkSxfRsNyUqHVEdxQ0FpSdg+1wCnJ+2rvRbcJVSQSo/oP5z8VL423e9ne0abqLyC4Byyntd+Z2USzqUq3jiuZq+dQ0DHiIiIo0qVznDo6U6PNo5EiIiIiIbOMNDRESkUeVSPZSryLRS07euYcBDRESkUWXQoUxFLR01fesa7YRuRERERDZwhoeIiEijeEmrEgMeBypuWA/lXtZPDlFaupIbCmnGvjnXhO2i9GpA/ROuRZyZEq+WUtq7p6hdIaU95MMfajIkmVLKvCidVul8UDqf6p+8KGwvbmh7bL454nPJ2U9DF6UCKz/d2nmUUt7Vpq0rnS8iass/KBI88dzZ6fhKf/uUUs/VEJ1vpSW1dy6WQd1lqdp7rrvzaSd0IyIiIrKBMzxEREQaxUtalRjwEBERaRQfHlpJO0dCREREZAMDHiIiIo2SoEO5ikWy84bnPXv2YNiwYQgJCYFOp8OmTZss2nU6ndXljTfesLnP1NRUq31u3rQv4YaXtIiIiDSqti9pFRYWomPHjnjsscfw0EMPVWnPzbV8MPIXX3yBiRMnWt32j/z8/HD69GmLdT4+9mV9MuAhIiLSqNp+Wnp8fDzi4+NtthuNRovXaWlp6NevH+68807hfnU6XZW+9mLA40DeBeXw9LK/3o5SfRClGj5qa5uI+qut0aNYB0NQh0Optoja+iGlHSJq3PfKXb7C9oYm23VyAOVaN+dHNBe2NzlbarOt4E3xd1a2QqFmi6DGDwAYTtn+3H/r1kTYt6HJ9rgB5booojo7gGtr7aihdFyefvWF7Ur1riRRf4V9IztX3K7AmbW4lP6+KNY/ulBU8/dW+M5Ef7frldS8LpurmM1mi9d6vR56vfjzVXLx4kVs2bIFH374oeK2BQUFCA8PR1lZGTp16oR//etf6Ny5s13v555/HYiIiEhRGeqpXgAgNDQUBoNBXpKTk1WP7cMPP0SjRo3w4IMPCrdr06YNUlNTsXnzZqxZswY+Pj7o2bMnzpw5Y9f7cYaHiIhIoxx1SSsnJwd+fn7yerWzOwDwwQcf4JFHHlG8Fyc6OhrR0dHy6549e6JLly5YuHAhFixYUO33Y8BDREREQn5+fhYBj1rffPMNTp8+jXXr1tndt169eujWrZvdMzy8pEVERKRR5ainenGGFStWICoqCh07drS7ryRJyMzMRHCw7ee0WcMZHiIiIo0qk3QoU3FJy96+BQUFOHv2rPw6KysLmZmZ8Pf3R1hYGIBbN0B/9tlneOutt6zuY9y4cWjevLl8n9DcuXMRHR2NVq1awWw2Y8GCBcjMzMTixYvtGhsDHiIiInKIQ4cOoV+/fvLrxMREAMD48eORmpoKAFi7di0kScJf//pXq/vIzs5GvXqVM0tXr17FE088AZPJBIPBgM6dO2PPnj3o3r27XWPTSZIk2Xk8dBuz2QyDwYDYga/A00tdinhNXPmLOG4NPHKjxvtWSktXmxIvSktXcl0hfdr3259qvG9FYeKpVKVU3Lz+4rTzZgev2D2kCkrfyZkEcTqt4aT4fBKlxCullSvRatq5Wkrp00q/0/xI26UIRGUGACB7iLjUQNgW8bmqJi39ag/x70xp7DdCGwnbReercukJcYkFkdKSm9j35T+Rn5/v0Pti/qji36Un9zwEfUPx70qkqKAE7/de79Sx1hbO8BAREWmUpPJp6RIfHkpERETkPjjDQ0REpFFl0KHMzgeA3t5fKxjwEBERaVS5ZP/zsG7vrxUMeIiIiDSqXOU9PGr61jXaORIiIiIiGzjD4waUUnEbmJz35F2lFGe1T1MXPcVZKZ1V6YnjrpyJVUqZD/zqvLD9hxfF/QMO2P7pKqXLKqWdK51PojIIgUfUpaWTdUrp+kqlBiIX2U7fVvqdha8Rtys9sVx0tv3WTZzyrlSeQU3auRLR087dSTl0KFdxH46avnUNAx4iIiKNqu1Ky3WZ213SWrJkCSIiIuDj44OoqCh88803NrfdtWsXdDpdleXHH3+02G79+vVo27Yt9Ho92rZti40bNzr7MIiIiKgWuVXAs27dOkyfPh0vvfQSjh49il69eiE+Ph7Z2dnCfqdPn0Zubq68tGrVSm7LyMjA6NGjkZCQgGPHjiEhIQGjRo3CgQMHnH04RERETlVx07KaRSvc6kjefvttTJw4EZMmTUJkZCRSUlIQGhqKpUuXCvsFBgbCaDTKi4eHh9yWkpKCAQMGICkpCW3atEFSUhL69++PlJQUJx8NERGRc5VDh3JJxaKhe3jcJuApLi7G4cOHERcXZ7E+Li4O+/btE/bt3LkzgoOD0b9/f+zcudOiLSMjo8o+Bw4cKNxnUVERzGazxUJERER1l9sEPJcuXUJZWRmCgiyzV4KCgmAymaz2CQ4OxrJly7B+/Xps2LABrVu3Rv/+/bFnzx55G5PJZNc+ASA5ORkGg0FeQkNDVRwZERGRc0j/y9Kq6SJpaIbH7bK0dDrLD1+SpCrrKrRu3RqtW7eWX8fExCAnJwdvvvkmevfuXaN9AkBSUpL8yHvg1lNpGfQQEVFdU3FpSk1/rXCbgCcgIAAeHh5VZl7y8vKqzNCIREdHY/Xq1fJro9Fo9z71ej30en2131OJUp0dtf29FWp4qKlVoVQHwzfnWo33rVZphwhhu+f3WTXet1L9EMUaHgp1elqkibvXP2m7js/VHsHCvk3Oiuv0OLPuk1I9GbW/BXel+BtWOJ9afST+DYvqaXkp1OFRqrPjlfO7sF1Ua0upZpQSNX+7AKAwxPbfca3U4aFKbvPXxdvbG1FRUUhPT7dYn56ejtjY2Grv5+jRowgOrvwHISYmpso+t2/fbtc+iYiI6iJmaVVymxkeAEhMTERCQgK6du2KmJgYLFu2DNnZ2ZgyZQqAW5eazp8/j1WrVgG4lYHVokULtGvXDsXFxVi9ejXWr1+P9evXy/t89tln0bt3b8yfPx8jRoxAWloaduzYgb1797rkGImIiByFl7QquVXAM3r0aFy+fBmvvPIKcnNz0b59e2zduhXh4eEAgNzcXIuaPMXFxZgxYwbOnz8PX19ftGvXDlu2bMHgwYPlbWJjY7F27Vq8/PLLmDVrFlq2bIl169ahR48etX58REREjsRHS1Ryq4AHAKZOnYqpU6dabUtNTbV4PXPmTMycOVNxnyNHjsTIkSMdMTwiIiKqg9wu4CEiIqLq4SWtSgx4iIiINIoBTyUGPG5AbcpqgVHhaxa0N/nphrCr2rRQEVE6KwDoFNJpldJl0dggbL4uSB0P/Mp2WjignMqr1vkRzW22eRWI+zoz3ZZp59apPe7f7hb/hpsdF/cX/U6VfmdKRL8TQFyaQqlshVLZC7WYev7nwoCHiIhIozjDU4kBDxERkUYx4Kn055xfJiIioj8VzvAQERFplAR1tXQkxw3F5RjwEBERaRQvaVXiJS0iIiLSPM7wEBERaRRneCox4Kkldbn+SENTqc22whC9sG+DC0WOHk6dIaoRolS7xDP/prBdqb6I0vnSwGS7fkihUdxXqXaSl1nYLKS2Dk9JQ/H+Rcddl6mt9+KtUFtJ6XNV8516fp8lbC8c2Ea8A8G5rlSHR22dL6W/X2q+F7X10WoLA55KDHiIiIg0igFPpbo77UBERERuZc+ePRg2bBhCQkKg0+mwadMmi/YJEyZAp9NZLNHR0Yr7Xb9+Pdq2bQu9Xo+2bdti48aNdo+NAQ8REZFGSZJO9WKPwsJCdOzYEYsWLbK5zaBBg5CbmysvW7duFe4zIyMDo0ePRkJCAo4dO4aEhASMGjUKBw4csGtsvKRFRESkUeXQqarDY2/f+Ph4xMfHC7fR6/UwGo3V3mdKSgoGDBiApKQkAEBSUhJ2796NlJQUrFmzptr74QwPERERCZnNZoulqKjmCSu7du1CYGAg7rrrLkyePBl5eXnC7TMyMhAXF2exbuDAgdi3b59d78uAh4iISKMqblpWswBAaGgoDAaDvCQnJ9doPPHx8fj444/x9ddf46233sLBgwdx7733CgMok8mEoKAgi3VBQUEwmUx2vTcvabkB9Smt4v7OTJkvNfjUuK9SardSarjOfL3G761Ead95/ZsL25XSrwOP3BC2b1+XarNt8KAxwr7ZQ5oI2w0/uy5VVyn92l05uyyFU1Ogw4KFzY0P5ArbRb9TpfIMSpTS1p35udSVtHMlNbkP5/b+AJCTkwM/Pz95vV4vTvm3ZfTo0fJ/t2/fHl27dkV4eDi2bNmCBx980GY/nc7yGCRJqrJOCQMeIiIiEvLz87MIeBwlODgY4eHhOHPmjM1tjEZjldmcvLy8KrM+SnhJi4iISKMcdUnLWS5fvoycnBwEB9ueSYyJiUF6errFuu3btyM2Ntau9+IMDxERkUY56pJWdRUUFODs2bPy66ysLGRmZsLf3x/+/v6YM2cOHnroIQQHB+PcuXN48cUXERAQgAceeEDuM27cODRv3ly+T+jZZ59F7969MX/+fIwYMQJpaWnYsWMH9u7da9fYGPAQERGRQxw6dAj9+vWTXycmJgIAxo8fj6VLl+L777/HqlWrcPXqVQQHB6Nfv35Yt24dGjWqvJ8rOzsb9epVXoCKjY3F2rVr8fLLL2PWrFlo2bIl1q1bhx49etg1NgY8REREGiWpvCxl7wxP3759IUmSzfYvv/xScR+7du2qsm7kyJEYOXKkXWO5HQMeIiIijZIACOKPavXXCgY8DlTcsB7KvWr/PnC1qcCi/qInqQPKT8dWShtVSj13JqW09vxIg8027wJ16bRNzoo/1+yBvsL2uNETbLbl9RP3VUo7V3O+uEuqrjM4M/VcbWmJBoI2pdIReV3E51PzNOeVf1D7tHRXEn0npSW19+9EOXTQ1WKl5bqMWVpERESkeZzhISIi0qjaztKqyxjwEBERaVS5pINORdDi7Do8tYmXtIiIiEjzOMNDRESkUZKkMktLQ2laDHiIiIg0ivfwVOIlLSIiItI8zvA4UEmDeij3th5DOrM+idoaHaL+ivU9LhQJ25Xq9Igo1ehRqh8ChXavnN+F7Q0uKOxfoKFC+6VJhcJ2z+9s1wBS0sDkvDo7Su2ursNTaLQ9NqXPxZlKFE4ItWNTqpclovQ7aJ4j7n9+RHNhe+CRGzbblM81vUK7uL+az0Ut0djKimtvroEzPJUY8BAREWkUs7Qqud0lrSVLliAiIgI+Pj6IiorCN998Y3PbDRs2YMCAAWjWrBn8/PwQExNT5Tkeqamp0Ol0VZabN11XAZiIiMgRKm5aVrNohVsFPOvWrcP06dPx0ksv4ejRo+jVqxfi4+ORnZ1tdfs9e/ZgwIAB2Lp1Kw4fPox+/fph2LBhOHr0qMV2fn5+yM3NtVh8fGp+OYOIiIjqFre6pPX2229j4sSJmDRpEgAgJSUFX375JZYuXYrk5OQq26ekpFi8njdvHtLS0vD555+jc+fO8nqdTgej0ejUsRMREdW2W7M0au7hceBgXMxtZniKi4tx+PBhxMXFWayPi4vDvn37qrWP8vJyXLt2Df7+/hbrCwoKEB4ejjvuuANDhw6tMgN0u6KiIpjNZouFiIiorqm4aVnNohVuE/BcunQJZWVlCAoKslgfFBQEk8lUrX289dZbKCwsxKhRo+R1bdq0QWpqKjZv3ow1a9bAx8cHPXv2xJkzZ2zuJzk5GQaDQV5CQ0NrdlBERERUK9zqkhZw6/LTH0mSVGWdNWvWrMGcOXOQlpaGwMBAeX10dDSio6Pl1z179kSXLl2wcOFCLFiwwOq+kpKSkJiYKL82m80IDQ2FV2E5PIsdn/qqJq28Ou1qUnmV0s69zCU17q+Ulq7UrqQk1F95IxvyuvgK2282E/cPe9tb2O6Zf0XY3ueTQzbbtr3QT9hXTdo54PrUcxFnpp4rfS51mfB3quJ3AADN086L31uwf8OpfGHfG6GNhO11+VwUja20pPbGLf1vUdNfK9wm4AkICICHh0eV2Zy8vLwqsz63W7duHSZOnIjPPvsM9913n3DbevXqoVu3bsIZHr1eD71eXB+CiIjI1ViHp5Lb/C+Lt7c3oqKikJ6ebrE+PT0dsbGxNvutWbMGEyZMwCeffIIhQ4Yovo8kScjMzERwcLDqMRMREVHd4DYzPACQmJiIhIQEdO3aFTExMVi2bBmys7MxZcoUALcuNZ0/fx6rVq0CcCvYGTduHN59911ER0fLs0O+vr4wGG5Vsp07dy6io6PRqlUrmM1mLFiwAJmZmVi8eLFrDpKIiMhReE1L5lYBz+jRo3H58mW88soryM3NRfv27bF161aEh4cDAHJzcy1q8rz//vsoLS3FU089haeeekpeP378eKSmpgIArl69iieeeAImkwkGgwGdO3fGnj170L1791o9NiIiIodTm2mloUtabhXwAMDUqVMxdepUq20VQUyFXbt2Ke7vnXfewTvvvOOAkREREVFd5XYBDxEREVWP2sdDaKnwIAMeIiIijWKWViUGPHWAq+ueOLN2iVKdHhGlGhy+OddqvG9AuY5PqcH289SUPrMmZxVqH4WIyxo0ELYCH308wGZbM5QK+yqdbyUNxe/tXVDzfdfluilK1Ixd9JlVhys/V6+c34XtaupZiX5jAJAbI/4nKjhDfK6r4c51lyxIOnX34Wgo4NHIN0pERERkG2d4iIiINIr38FRiwENERKRVrMMj4yUtIiIi0jzO8BAREWkUs7QqMeAhIiLSMg1dllKDAU8d4M6pumrTRr3MJTbb1KS0O4Lo/ZW+M9FxAUD9k+JU3+x3xLnhzf7tvM/GSyGFWpSuqyal3d2JPhe1v/GGJnXp10rno4jkV1/YrlTeQVReQin1O+zLG8L2K3f5CtuVPrcCo+2/X0p9NZO27mB79uzBG2+8gcOHDyM3NxcbN27E/fffDwAoKSnByy+/jK1bt+Lnn3+GwWDAfffdh9deew0hISE295mamorHHnusyvobN27Ax0dc2uCP+I0RERFpVMUlLTWLPQoLC9GxY0csWrSoStv169dx5MgRzJo1C0eOHMGGDRvw008/Yfjw4Yr79fPzQ25ursViT7ADcIaHiIhIu2o5Sys+Ph7x8fFW2wwGA9LT0y3WLVy4EN27d0d2djbCwsJs7len08FoNNo3mNtwhoeIiIiEzGazxVJUVOSQ/ebn50On06Fx48bC7QoKChAeHo477rgDQ4cOxdGjR+1+LwY8REREmqVzwAKEhobCYDDIS3JysuqR3bx5E//4xz8wduxY+Pn52dyuTZs2SE1NxebNm7FmzRr4+PigZ8+eOHPmjF3vx0taREREWuWgS1o5OTkWQYleL34eoJKSkhKMGTMG5eXlWLJkiXDb6OhoREdHy6979uyJLl26YOHChViwYEG135MBDxERkVY5KODx8/MTzsLYo6SkBKNGjUJWVha+/vpru/dbr149dOvWjTM8ZD816bRNv1eXbitK/VZKpVV60rKap6ED4qexKz3JXcn5Ec2F7SUnxf19c67YbMse0kTcN0+8byWic6Iup52rTSNW+i2oST0vNCo8Df2sujIIaqg91+ufvGiz7YrC78C7QFx+QakMghJR6rkoZR1w73IirlQR7Jw5cwY7d+5E06ZN7d6HJEnIzMxEhw4d7OrHgIeIiEirJN2tRU1/OxQUFODs2bPy66ysLGRmZsLf3x8hISEYOXIkjhw5gv/3//4fysrKYDKZAAD+/v7w9vYGAIwbNw7NmzeX7xOaO3cuoqOj0apVK5jNZixYsACZmZlYvHixXWNjwENERKRRtf209EOHDqFfv37y68TERADA+PHjMWfOHGzevBkA0KlTJ4t+O3fuRN++fQEA2dnZqFevctbz6tWreOKJJ2AymWAwGNC5c2fs2bMH3bt3t2tsDHiIiIjIIfr27QtJECWJ2irs2rXL4vU777yDd955R+3QGPAQERFpVi0XHqzLGPAQERFpVS3fw1OXsfAgERERaR5neIiIiDRKJ91a1PTXCgY85FKi2iheZnX7VqofolS75EI/2/VsGpjENTiKG4qrkDY5a7v+BwB4Hal5DSK1dXZuBCptUfO6Ta6kdmxKdXxE+1fqq3Q+1GWK9Y3aBdlsCtlpu54UAPzWTVxTSulzU/Od1eVz2S68h0fGS1pERESkeZzhISIi0iretCxjwENERKRVvKQlY8BDRESkVQx4ZLyHh4iIiDSPMzxERERaxRkeGQMeUpV+qZT2qdTe0OS8dFzfnGvCdlFqNyBOPW9woahGY6qQ18VX2B6okJYu6q+UqnvlL+KfveFnpZR7299poVH8fSul85N1SiUUlBSG2C6ToPT7LzCKzxel37DofPMyi3+DzQ6K09bzIw3CdrV/n0TcJm2dNy3LeEmLiIiINI8zPERERBrFSsuVGPAQERFpFe/hkbndJa0lS5YgIiICPj4+iIqKwjfffCPcfvfu3YiKioKPjw/uvPNOvPfee1W2Wb9+Pdq2bQu9Xo+2bdti48aNzho+ERERuYDdAU9ZWRnef/99PPfcc3jrrbfw1Vdf4fLly84YWxXr1q3D9OnT8dJLL+Ho0aPo1asX4uPjkZ2dbXX7rKwsDB48GL169cLRo0fx4osv4plnnsH69evlbTIyMjB69GgkJCTg2LFjSEhIwKhRo3DgwIFaOSYiIiJyPrsDnqeffhqzZs1CXl4ekpKSMGTIEAQGBiIsLAzDhw93xhhlb7/9NiZOnIhJkyYhMjISKSkpCA0NxdKlS61u/9577yEsLAwpKSmIjIzEpEmT8Pjjj+PNN9+Ut0lJScGAAQOQlJSENm3aICkpCf3790dKSopTj4WIiMjZdKi8j6dGi6sPwIHsDng2bNiAjz76CB9//DH0ej0OHTqEBQsW4ObNmwgPD3fGGAEAxcXFOHz4MOLi4izWx8XFYd++fVb7ZGRkVNl+4MCBOHToEEpKSoTb2NonABQVFcFsNlssREREVHfZfdNyQUEB2rZtCwDw8vKCh4cHnnrqKRQXF+PChQsOH2CFS5cuoaysDEFBQRbrg4KCYDKZrPYxmUxWty8tLcWlS5cQHBxscxtb+wSA5ORkzJ07t8r664H14KG3HkO6a/0RpToVSrUo1NS5UEupRoeasXv7eQn7KtW6CTxyQ9jumX9T2N7AZLuuilLdFK8CYbOq79xbYd/urC6f60oMp/JttinVo/JWOC6lGkGimlLK9aiEzYp1n9TUpFL6m630fZc0tN1WVlSL5wrr8Mjs/tTvvPNOObBp3rw5zp8/DwAYNmwYVq9e7djRWaHTWX74kiRVWae0/e3r7d1nUlIS8vPz5SUnJ6fa4yciIqo1kgMWjbA74Hn44Yexbds2AEDfvn3xwQcfAAB++OEH3Lgh/r9WNQICAuDh4VFl5iUvL6/KDE0Fo9FodXtPT080bdpUuI2tfQKAXq+Hn5+fxUJERFTnMOCR2R3wzJo1C7NnzwYA/P3vf8fXX3+NZs2a4eGHH8bYsWMdPsAK3t7eiIqKQnp6usX69PR0xMbGWu0TExNTZfvt27eja9eu8PLyEm5ja59ERETkflQVHgwLC8PJkyexdetW+Pv7Y8iQIY4al1WJiYlISEhA165dERMTg2XLliE7OxtTpkwBcOtS0/nz57Fq1SoAwJQpU7Bo0SIkJiZi8uTJyMjIwIoVK7BmzRp5n88++yx69+6N+fPnY8SIEUhLS8OOHTuwd+9epx4LERGRs7HSciXVlZabNm2KhIQER4xF0ejRo3H58mW88soryM3NRfv27bF161Y5Oyw3N9eiJk9ERAS2bt2K5557DosXL0ZISAgWLFiAhx56SN4mNjYWa9euxcsvv4xZs2ahZcuWWLduHXr06FErx0REROQ0rLQsc7tHS0ydOhVTp0612paamlplXZ8+fXDkiPhW/5EjR2LkyJGOGB4RERHVQW4X8NRl9fPK4enlnunndVGJQuq3UjpsgwtFqt5fkFWqmJKqlA6rlHb+W7cmwvaGJvH+Rdw5vdqZ1JZgEKfrq/vMvVSW+roR2kiwb/HvSCn1G7BdIkGJ0u9EiVJ5hyt3idPeRSUa8u8UH7dvnrBZmNZeWlKL/05whkfGgIeIiEijeA9PpT/n/8oRERHRnwpneIiIiLSKlZZlDHiIiIi0ivfwyHhJi4iIiBxiz549GDZsGEJCQqDT6bBp0yaLdkmSMGfOHISEhMDX1xd9+/bFyZMnFfe7fv16tG3bFnq9Hm3btsXGjRvtHhsDHiIiIo2quGlZzWKPwsJCdOzYEYsWLbLa/vrrr+Ptt9/GokWLcPDgQRiNRgwYMADXrl2zuc+MjAyMHj0aCQkJOHbsGBISEjBq1CgcOHDArrHxktafgJo0Y6V0WrX9RU8rVpuy6kxKx1X/5EVh+/kRzYXtap7yrPZzU5ueTfZz9mfqm2P7HxOlp6WH7LwibBelvAPitHelp6XfbCb+J+rOTxXGFijevyi1XCnt3G1+B7V8SSs+Ph7x8fHWdyVJSElJwUsvvYQHH3wQAPDhhx8iKCgIn3zyCZ588kmr/VJSUjBgwAAkJSUBuPVUhd27dyMlJcXiyQlKOMNDRESkVWpnd/4X8JjNZoulqMj+OmdZWVkwmUyIi4uT1+n1evTp0wf79u2z2S8jI8OiDwAMHDhQ2McaBjxEREQkFBoaCoPBIC/Jycl278NkMgEAgoKCLNYHBQXJbbb62dvHGl7SIiIi0ioHXdLKycmBn5+fvFqvr3mFbZ3OMtVdkqQq6xzR53YMeIiIiLTKQQGPn5+fRcBTE0ajEcCtGZvg4GB5fV5eXpUZnNv73T6bo9THGl7SIiIiIqeLiIiA0WhEenq6vK64uBi7d+9GbGyszX4xMTEWfQBg+/btwj7WcIaHiIhIo2r7WVoFBQU4e/as/DorKwuZmZnw9/dHWFgYpk+fjnnz5qFVq1Zo1aoV5s2bh/r162Ps2LFyn3HjxqF58+byfULPPvssevfujfnz52PEiBFIS0vDjh07sHfvXrvGxoCHiIiIHOLQoUPo16+f/DoxMREAMH78eKSmpmLmzJm4ceMGpk6diitXrqBHjx7Yvn07GjWqLG+QnZ2NevUqL0DFxsZi7dq1ePnllzFr1iy0bNkS69atQ48ePewam06SJA0VjnYNs9kMg8GAtn+bBw+99ZoWDUxuUrPBTs6s2aK2zoWo/kd1eObfrHFfpdokSp9bgwvilM8rd9muL9LQJK7DU2AU/3+OUn81dZ207HIH259LcIb4M1U6V0v8vITtojo7aimdy0pEx+aV87uwb/Y7DYXtAf9uUKMxVVD6LahRIhh6WdFN/LD0ReTn56u+L8aWin+XWr44Dx4+4lpLImU3b+K/85w71trCGR4iIiKt4rO0ZAx4iIiINKq27+Gpyzg3TURERJrHGR4iIiIt09AsjRoMeIiIiLSK9/DIGPAQERFpFO/hqcSAx4G8CgEPdZnQbkdt6riI2vRppVRepVRgnfm67X2H+qvat5dZ2IzsgbbTzgHlNGeRupx27swyB86m5jtROlddSelcLgxReqaS7WMr7BFssw0Agt8Wl2e4cI/4b0Sz4yq+E3FGfDVKjdg+l+sV2z8eUo8BDxERkVbxkpaMAQ8REZFG8ZJWJaalExERkeZxhoeIiEireElLxoCHiIhIqxjwyHhJi4iIiDSPMzxEREQaxZuWKzHgcSCvwnJ4FtfdOiE1obYmi5paFq6uuSKqteOV83uN+wKAZ/5NYXtwhuvqsqj53NWeL0rv7cw6PYVG8b6V667YplTLRqkOj2/OtRq/t5JSg4+q/kqf2+VmttvDvrwh7Kv0O0l4ZK+wfdvxfsJ28fnivHO5tKQW/7bxkpaMl7SIiIhI8zjDQ0REpFWc4ZEx4CEiItIo3sNTyW0uaV25cgUJCQkwGAwwGAxISEjA1atXbW5fUlKCF154AR06dECDBg0QEhKCcePG4cKFCxbb9e3bFzqdzmIZM2aMk4+GiIioFkgOWDTCbQKesWPHIjMzE9u2bcO2bduQmZmJhIQEm9tfv34dR44cwaxZs3DkyBFs2LABP/30E4YPH15l28mTJyM3N1de3n//fWceChEREdUyt7ikderUKWzbtg379+9Hjx49AADLly9HTEwMTp8+jdatW1fpYzAYkJ6ebrFu4cKF6N69O7KzsxEWFiavr1+/PoxGo3MPgoiIqJbxklYltwh4MjIyYDAY5GAHAKKjo2EwGLBv3z6rAY81+fn50Ol0aNy4scX6jz/+GKtXr0ZQUBDi4+Mxe/ZsNGrUyOZ+ioqKUFRUJL82m832HZCDOTOdVm2asCsppQIrpZaLnB/RXNgeeEScbpsfaajxewPiz72hqVTVvtVwZtq42v5KY1PzOwHE55tS2rnSuapETWq52hILSue66NhzE4uFfaXvmgjbv/rbPcL24hDnnY/OPtcdhjcty9wi4DGZTAgMDKyyPjAwECaTqVr7uHnzJv7xj39g7Nix8PPzk9c/8sgjiIiIgNFoxIkTJ5CUlIRjx45VmR36o+TkZMydO9f+AyEiIiKXcOn/ns+ZM6fKDcO3L4cOHQIA6HS6Kv0lSbK6/nYlJSUYM2YMysvLsWTJEou2yZMn47777kP79u0xZswY/Oc//8GOHTtw5MgRm/tLSkpCfn6+vOTk5Nh55ERERLWANy3LXDrDM23aNMWMqBYtWuD48eO4ePFilbbffvsNQUFBwv4lJSUYNWoUsrKy8PXXX1vM7ljTpUsXeHl54cyZM+jSpYvVbfR6PfR6vXA/RERErqb736Kmv1a4NOAJCAhAQECA4nYxMTHIz8/Hd999h+7duwMADhw4gPz8fMTGxtrsVxHsnDlzBjt37kTTpk0V3+vkyZMoKSlBcHBw9Q+EiIiI6rS6e8fpH0RGRmLQoEGYPHky9u/fj/3792Py5MkYOnSoxQ3Lbdq0wcaNGwEApaWlGDlyJA4dOoSPP/4YZWVlMJlMMJlMKC6+daPcf//7X7zyyis4dOgQzp07h61bt+Lhhx9G586d0bNnT5ccKxERkcPwkpbMLW5aBm5lUj3zzDOIi4sDAAwfPhyLFi2y2Ob06dPIz88HAPz666/YvHkzAKBTp04W2+3cuRN9+/aFt7c3vvrqK7z77rsoKChAaGgohgwZgtmzZ8PDw8P5B0VERORETEuv5DYBj7+/P1avXi3cRpIqv5kWLVpYvLYmNDQUu3fvdsj4XEltOq0zeRWI20WpnUppnQVG8enbROkJ1QrptnldfG22NU87L+wr+dUXtnurTFNuIGhTSoF2Jlen4qo5n5TSjJXS/UWfu9L3qfRUcCVK/XXm6zbblM7VwhDx/YpqfqcB/xadyUBujLBZkVLJDgiSfF19LpPjuU3AQ0RERHZiHR4ZAx4iIiIt01DQooZb3LRMRERE9qu4h0fNYo8WLVpYran31FNPWd1+165dVrf/8ccfHXD0ljjDQ0RERA5x8OBBlJWVya9PnDiBAQMG4OGHHxb2O336tEWdvGbNmjl8bAx4iIiItKqW7+G5PVB57bXX0LJlS/Tp00fYLzAwsMpzLh2Nl7SIiIg0ylGXtMxms8Xyxwdo21JcXIzVq1fj8ccfV3wMVOfOnREcHIz+/ftj586djjj0KhjwEBERkVBoaCgMBoO8JCcnK/bZtGkTrl69igkTJtjcJjg4GMuWLcP69euxYcMGtG7dGv3798eePXscOPpbeEnLgUoa1EO5t/UYUqs1HdTWNlHTV+1nqlS7JGSnutooaijV0lGq6+IqzjwfHPH+avoqjb3BBeX/47Wl1OAjbFdbp0dEVKMHAAyn1PUvMDa32XblL+J/gsK+vCFs374uVdg+eJD4WY3ZQ5rYbDP8LOyqSHS+lBXX4lyDgy5p5eTkWNxjU53nSa5YsQLx8fEICQmxuU3r1q0tnpgQExODnJwcvPnmm+jdu3fNx20FAx4iIiKNclSlZT8/P8WHb//RL7/8gh07dmDDhg12v2d0dLRioeGa4CUtIiIicqiVK1ciMDAQQ4YMsbvv0aNHnfIAb87wEBERaZULKi2Xl5dj5cqVGD9+PDw9LcOMpKQknD9/HqtWrQIApKSkoEWLFmjXrp18k/P69euxfv16FYO2jgEPERGRVrkg4NmxYweys7Px+OOPV2nLzc1Fdna2/Lq4uBgzZszA+fPn4evri3bt2mHLli0YPHiwikFbx4CHiIiIHCYuLs7mw7tTU1MtXs+cORMzZ86shVEx4CEiItIsR920rAUMeByowcVSeHqVWm0rMNr+qEsaKuzX5L4p7W6djp+da7Pp6sA2wq5Kx+2bc03YrpSmLOLsdH7R/p39fas5NqW+DU3Wf7vV7S/izLRyQDk13Jkkv/rC9mYHr9hsuxHaSNi3MESc+tzzuSfF/fuJv7OQveK0dzW8BaUlSkvE55pD8WnpMgY8REREGqWTJOhsXF6qbn+tYFo6ERERaR5neIiIiLSKl7RkDHiIiIg0ijctV+IlLSIiItI8zvAQERFpFS9pyRjwEBERaRQvaVViwFNLRPVBvAtqcSC1TE3tkhuB4vZmx51by6K0Q4TNNrV1dpSUCGp4KHF2LRw1+1fqq+Z8UUtUKwsAmvzkvJotdZlSrZz6Jy8K20tC/W22eZlLhH29zMJm5HXxFfdX+Nsq+p2pPRfdugaZRjHgISIi0ipe0pIx4CEiItIoXtKqxCwtIiIi0jzO8BAREWkVL2nJGPAQERFpmJYuS6nBgIeIiEirJOnWoqa/RjDgcSCvayXw9PSw1WqznytTcZ1NTRqyUtq5UkqrEp35ungDg4/NJqVUXMmvvrBdKdVXKa29VDA2JYUhemF7XU6nVXM+NTQ593wSpTh75t9UtW/Fc1WBKDXc8/ssYV/fb/OF7XkPtRW2i0tyqDvXmqedF7Zf7RGsav9qiM4nXam6c41qhgEPERGRRjFLqxIDHiIiIq3iTcsy7V5LISIiIvofzvAQERFplK781qKmv1a4zQzPlStXkJCQAIPBAIPBgISEBFy9elXYZ8KECdDpdBZLdHS0xTZFRUV4+umnERAQgAYNGmD48OH49ddfnXgkREREtURywKIRbhPwjB07FpmZmdi2bRu2bduGzMxMJCQkKPYbNGgQcnNz5WXr1q0W7dOnT8fGjRuxdu1a7N27FwUFBRg6dCjKysqcdShERERUy9ziktapU6ewbds27N+/Hz169AAALF++HDExMTh9+jRat25ts69er4fRaLTalp+fjxUrVuCjjz7CfffdBwBYvXo1QkNDsWPHDgwcONBhxyBOeRU/GfvPnLYuciZB/LlFLlL3xHKvnN9ttonSfAHlNGSlJ3P75gibhSnQSunVDS4UCdtdmbau9mnqov5q086VKJUScCWl1HM1mh28ImwXlWBQKu/ww4tBwvYAY3Nhu1Ipgit/sf07bGASn4uFRvG52OCCsLnWMEurklv8S5qRkQGDwSAHOwAQHR0Ng8GAffv2Cfvu2rULgYGBuOuuuzB58mTk5eXJbYcPH0ZJSQni4uLkdSEhIWjfvr1wv0VFRTCbzRYLERFRnVNReFDNohFuEfCYTCYEBgZWWR8YGAiTyWSzX3x8PD7++GN8/fXXeOutt3Dw4EHce++9KCoqkvfr7e2NJk2aWPQLCgoS7jc5OVm+l8hgMCA0NLSGR0ZERES1waUBz5w5c6rcVHz7cujQIQCATqer0l+SJKvrK4wePRpDhgxB+/btMWzYMHzxxRf46aefsGXLFuG4lPablJSE/Px8ecnJUbj+QERE5AIVl7TULFrh0nt4pk2bhjFjxgi3adGiBY4fP46LF6te6/3tt98QFCS+xvtHwcHBCA8Px5kzZwAARqMRxcXFuHLlisUsT15eHmJjY23uR6/XQ68X3+dARETkciw8KHNpwBMQEICAgADF7WJiYpCfn4/vvvsO3bt3BwAcOHAA+fn5wsDkdpcvX0ZOTg6Cg289XyUqKgpeXl5IT0/HqFGjAAC5ubk4ceIEXn/99RocERERUd3Bm5YrucU9PJGRkRg0aBAmT56M/fv3Y//+/Zg8eTKGDh1qkaHVpk0bbNy4EQBQUFCAGTNmICMjA+fOncOuXbswbNgwBAQE4IEHHgAAGAwGTJw4Ec8//zy++uorHD16FI8++ig6dOggZ20RERGR+3OLtHQA+Pjjj/HMM8/IGVXDhw/HokWLLLY5ffo08vNvPdnXw8MD33//PVatWoWrV68iODgY/fr1w7p169CoUWWa5DvvvANPT0+MGjUKN27cQP/+/ZGamgoPD1tPPSciInITajOtNJSl5TYBj7+/P1avXi3cRvrDF+Pr64svv/xScb8+Pj5YuHAhFi5cqHqM5FhKdVMiF4lr3eRHGoTthlPi988e0sRmW9gWce0Rnfm6sD3wK3H71R7BwnbDqXybbaK6J4Dy56qm1o2zKb23sK6KyrooSrWVSg0+Nd63qOZTdVxvJ76X0fdb2+eLs4lq7eT1F9fRiVwk/p0pUfpO8tuJWsX/PDY5K67xU1fU9iWtOXPmYO7cuRbrlDKfd+/ejcTERJw8eRIhISGYOXMmpkyZUpPhCrlNwENERER1X7t27bBjxw75teiKSVZWFgYPHozJkydj9erV+PbbbzF16lQ0a9YMDz30kEPHxYCHiIhIq1yQpeXp6WnzCQe3e++99xAWFoaUlBQAt+7ZPXToEN58802HBzxucdMyERER2c9RdXhuf7pARQFfa86cOYOQkBBERERgzJgx+Pnnn21um5GRYfG0AwAYOHAgDh06hJISxz4OhgEPERERCYWGhlo8YSA5Odnqdj169MCqVavw5ZdfYvny5TCZTIiNjcXly5etbm8ymarU0wsKCkJpaSkuXbrk0GPgJS0iIiKtKpduLWr6A8jJyYGfn5+82lbx3fj4ePm/O3TogJiYGLRs2RIffvghEhMTrfa5/ckGFQlIoice1AQDHiIiIq1y0D08fn5+FgFPdTVo0AAdOnSQn3BwO6PRWCWDKy8vD56enmjatKnd7yfCgMeBrv7FFx7e1tMgG5pspzAqpQkDXsJWpTTiukyUZqyUBqyU+q2Udq4kbOkPNe/cWJwSr9j9QK6wvSTU32ab0vngZRa/d5Ofbojf2098PqqhNiU+8Ih47M4kOl/VpKxXh++3P9W4b2mHCFXvfeUuX2F7Q5PtMgmBX50X9j0/Qpy2rpQaXvbsb8L2kBW20/m9C8T79s25Jmz/rZvtshZlxTpgn7C7ZhQVFeHUqVPo1auX1faYmBh8/vnnFuu2b9+Orl27wsvLsX9r3PdfSiIiIhLSQeVNy3a+34wZM7B7925kZWXhwIEDGDlyJMxmM8aPHw/g1sO3x40bJ28/ZcoU/PLLL0hMTMSpU6fwwQcfYMWKFZgxY4bjPoT/4QwPERGRVtVypeVff/0Vf/3rX3Hp0iU0a9YM0dHR2L9/P8LDwwHcel5ldna2vH1ERAS2bt2K5557DosXL0ZISAgWLFjg8JR0gAEPERGRZtV2peW1a9cK21NTU6us69OnD44cOWLfG9UAL2kRERGR5nGGh4iISKtcUGm5rmLAQ0REpFE6SYJOxT08avrWNQx4HCjgyFV4elgvxqTqScoaTlsXHZtS2rkSpf7SVec9QVryqy9sV3tsoqdrN4DtlHVHEH1nhSHWz/8KSmnlap/EriY1XKkMghpqn4buzHPV8/ssVf0Dc8QlGERjV/qntHmauF3pKfENZ4i/8xuhts830VPeAeBqj2Bhe7ODtp/0Xlpm+7EM5DwMeIiIiLSq/H+Lmv4awYCHiIhIo3hJq1LdvdZBRERE5CCc4SEiItIqZmnJGPAQERFpVS1XWq7LeEmLiIiINI8zPERERBpV24+WqMsY8DhQqZ8e8Kx5vZ2aUqrT42UW91eqnaJGgwviehNq6pM4szaJatm5wuaSDhHCdjWfi1JfpdolynWfbFNbR0eJb861GvdV+lyUaiep4ey6TGroGovr6JSEius6KX2uF8a3tdkWstN2rRoAkBR+R77fiv8G3Oh5l7i/4HxS+s6UznVR3afSUmFXx+IlLRkDHiIiIo3Sld9a1PTXCt7DQ0RERJrHGR4iIiKt4iUtGQMeIiIirWIdHhkvaREREZHmcYaHiIhIo/gsrUoMeBzI01wETw/7+4nSF2uDKHW8xM9L2FcxJV5FerVaZVevqurv0bixQ8Zhjef3WcJ2KSy4xvtWOp/qn7wobFdKQxaVMVBK1S1uKJ5UVipjoMSl6d0q3tvZJRaEvwWF34nu3C/CdqUM66B3bff/+f9ihX3v/FRh5yr91q2JzbZmB8Up80p/+zzzb9puLFN3ntuF9/DIeEmLiIiINI8zPERERFolAVBTS0c7EzwMeIiIiLSK9/BU4iUtIiIi0jzO8BAREWmVBJU3LTtsJC7nNjM8V65cQUJCAgwGAwwGAxISEnBVKbtAp7O6vPHGG/I2ffv2rdI+ZswYJx8NERFRLajI0lKzaITbzPCMHTsWv/76K7Zt2wYAeOKJJ5CQkIDPP//cZp/cXMsn7X7xxReYOHEiHnroIYv1kydPxiuvvCK/9vX1deDIiYiIXKQcgE5lf41wi4Dn1KlT2LZtG/bv348ePXoAAJYvX46YmBicPn0arVu3ttrPaDRavE5LS0O/fv1w5513WqyvX79+lW1rotRPD3har4EiqskgrNcA19bpUaw1oVRPRsV76xobVPR2c9m5wmbRZ1MYKf7cDPn1azSkCqJaO0rni2+O+FxX4sw6O0r7VqyVI/hOXFpnpw4Lf3mfeAOVtbDqK3ynvt8KvheFWlhKNcpESpWKF5FTuMUlrYyMDBgMBjnYAYDo6GgYDAbs26fwg/mfixcvYsuWLZg4cWKVto8//hgBAQFo164dZsyYgWvXrgn3VVRUBLPZbLEQERHVNRVZWmoWrXCLGR6TyYTAwMAq6wMDA2Eymaq1jw8//BCNGjXCgw8+aLH+kUceQUREBIxGI06cOIGkpCQcO3YM6enpNveVnJyMuXPn2ncQREREtY2VlmUuneGZM2eOzRuLK5ZDhw4BuHUD8u0kSbK63poPPvgAjzzyCHx8LC8PTZ48Gffddx/at2+PMWPG4D//+Q927NiBI0eO2NxXUlIS8vPz5SUnJ8eOoyYiIqLa5tIZnmnTpilmRLVo0QLHjx/HxYtVn//z22+/ISgoSPF9vvnmG5w+fRrr1q1T3LZLly7w8vLCmTNn0KVLF6vb6PV66PW2nydERERUJ3CGR+bSgCcgIAABAQGK28XExCA/Px/fffcdunfvDgA4cOAA8vPzERsrfvgcAKxYsQJRUVHo2LGj4rYnT55ESUkJgoNr/vBGIiKiOqGWA57k5GRs2LABP/74I3x9fREbG4v58+fbTC4CgF27dqFfv35V1p86dQpt2rSxe8i2uMVNy5GRkRg0aBAmT56M/fv3Y//+/Zg8eTKGDh1q8SG2adMGGzdutOhrNpvx2WefYdKkSVX2+9///hevvPIKDh06hHPnzmHr1q14+OGH0blzZ/Ts2dPpx0VERKQlu3fvxlNPPYX9+/cjPT0dpaWliIuLQ2FhoWLf06dPIzc3V15atWrl0LG5xU3LwK1MqmeeeQZxcXEAgOHDh2PRokUW25w+fRr5+ZZphmvXroUkSfjrX/9aZZ/e3t746quv8O6776KgoAChoaEYMmQIZs+eDQ8PD7vH6HX+CjzrWb/UVRLqb7OfUlq6UrtTKaRHO5PoMwMA3blfnPr+olRfD5XpsmqJ0pwNX6pLgVb6oyBqV1tKQE3qt6uVOvl8/DNSSrcvHtJd2O777U81f3OFv31K1dpEZQ505UU1GFAN1XIdnopaeRVWrlyJwMBAHD58GL179xb2DQwMRGMn/m11m4DH398fq1evFm4jWZl6e+KJJ/DEE09Y3T40NBS7d+92yPiIiIjqGkc9PPT28ivVvZe1YhLC31/8P7AA0LlzZ9y8eRNt27bFyy+/bPUylxpucUmLiIiIXCc0NFR+tJPBYEBycrJiH0mSkJiYiHvuuQft27e3uV1wcDCWLVuG9evXY8OGDWjdujX69++PPXv2OPIQ3GeGh4iIiOzkoJuWc3Jy4OfnJ6+uzuzOtGnTcPz4cezdu1e4XevWrS3ux42JiUFOTg7efPNNxctg9uAMDxERkVaVS+oXAH5+fhaLUsDz9NNPY/Pmzdi5cyfuuOMOu4cdHR2NM2fO1OiQbeEMDxERkVbVclq6JEl4+umnsXHjRuzatQsRERE1etujR486vDwMAx4iIiJyiKeeegqffPIJ0tLS0KhRI/nxTwaDAb6+t3LbkpKScP78eaxatQoAkJKSghYtWqBdu3YoLi7G6tWrsX79eqxfv96hY2PAU0u8cn6vcV/JT/x0a6WnqSumtbsw9VyUxqz75mgtjsQ+Sumyrk5bdxVnPxVccf+CJ1yrfdK6uz6RXMu8t3wnbC9T6O/ZItxmm1JZDM/vs8Q7rzMlFFTO8MC+vkuXLgUA9O3b12L9ypUrMWHCBABAbm4usrOz5bbi4mLMmDED58+fh6+vL9q1a4ctW7Zg8ODBKsZdFQMeIiIirXLBJS0lqampFq9nzpyJmTNn2vU+NcGblomIiEjzOMNDRESkVeUS7L0sVbW/NjDgISIi0iqp/Naipr9G8JIWERERaR5neIiIiLSqlm9arssY8BAREWkV7+GRMeBxoJLmTSB5Wq+Jo1izQUCn0O6pUEdHVOsGUPVTUKT03qXnfnHiu7tOaQdxdVE154M7c3otG9bKITuI/v7oFP42lfbqXPP3Lb0JaPNPX53GgIeIiEireElLxoCHiIhIqySoDHgcNhKXY8BDRESkVZzhkTEtnYiIiDSPMzxERERaVV4OQEXxwHLtFB5kwENERKRVvKQlY8DjQLp9x6HTeVltKxP082jcWN37KqWdX81X1V/kersgYbv3lu9qvG93pvvmqLD9wrOxwvaQD39w5HDsouZ8cnraOVEdofQbF/aVShw4EqouBjxERERaxRkeGQMeIiIirWKlZRmztIiIiEjzOMNDRESkUZJUDkmqeaaVmr51DQMeIiIirZIkdZelNHQPDy9pERERkeZxhoeIiEirJJU3LWtohocBTx2gVLvEU0WdHEBdnZ2SUH9h+5+1zo5aQe/uE7aX9uosbPfK+d2Rw7ELa+0QuZHyckCn4j4c3sNDREREdR5neGS8h4eIiIg0jzM8REREGiWVl0NScUmLaelERERU9/GSloyXtIiIiEjzOMNDRESkVeUSoOMMD+BGAc+rr76KLVu2IDMzE97e3rhajdRYSZIwd+5cLFu2DFeuXEGPHj2wePFitGvXTt6mqKgIM2bMwJo1a3Djxg30798fS5YswR133OHEo7FP6blfXPbeOhe+95+Z7pujwvbSWhoHEbk5SQKgJi1dOwGP21zSKi4uxsMPP4y//e1v1e7z+uuv4+2338aiRYtw8OBBGI1GDBgwANeuXZO3mT59OjZu3Ii1a9di7969KCgowNChQ1FWVuaMwyAiIiIXcJsZnrlz5wIAUlNTq7W9JElISUnBSy+9hAcffBAA8OGHHyIoKAiffPIJnnzySeTn52PFihX46KOPcN999wEAVq9ejdDQUOzYsQMDBw50yrEQERHVBqlcgqTikpbEGZ66LysrCyaTCXFxcfI6vV6PPn36YN++W1VuDx8+jJKSEottQkJC0L59e3kba4qKimA2my0WIiKiOkcqV7/UwJIlSxAREQEfHx9ERUXhm2++EW6/e/duREVFwcfHB3feeSfee++9Gr2viGYDHpPJBAAICgqyWB8UFCS3mUwmeHt7o0mTJja3sSY5ORkGg0FeQkNDHTx6IiIi9aRySfVir3Xr1mH69Ol46aWXcPToUfTq1Qvx8fHIzs62un1WVhYGDx6MXr164ejRo3jxxRfxzDPPYP369WoP34JLA545c+ZAp9MJl0OHDql6D51OZ/FakqQq626ntE1SUhLy8/PlJScnR9UYiYiItOLtt9/GxIkTMWnSJERGRiIlJQWhoaFYunSp1e3fe+89hIWFISUlBZGRkZg0aRIef/xxvPnmmw4dl0vv4Zk2bRrGjBkj3KZFixY12rfRaARwaxYnODhYXp+XlyfP+hiNRhQXF+PKlSsWszx5eXmIjY21uW+9Xg+9Xi+/rrjGWYoSVfWdiIhI+0pRAqB27o8plYpUPQC0Yqy337px+7+DFYqLi3H48GH84x//sFgfFxdn81aRjIwMi1tLAGDgwIFYsWIFSkpK4OXlVePx/5FLA56AgAAEBAQ4Zd8REREwGo1IT09H5863njxdXFyM3bt3Y/78+QCAqKgoeHl5IT09HaNGjQIA5Obm4sSJE3j99der/V4VWV97sdXBR0FERFp17do1GAwGp+zb29sbRqMRe03q/11q2LBhlVs3Zs+ejTlz5lTZ9tKlSygrKxPeTnI7k8lkdfvS0lJcunTJYtJCDbfJ0srOzsbvv/+O7OxslJWVITMzEwDwl7/8BQ0bNgQAtGnTBsnJyXjggQeg0+kwffp0zJs3D61atUKrVq0wb9481K9fH2PHjgUAGAwGTJw4Ec8//zyaNm0Kf39/zJgxAx06dJCztqojJCQEOTk5aNSoEXQ6HcxmM0JDQ5GTkwM/Pz+HfxbO5u7jB3gMdYG7jx/gMdQF7j5+oOoxSJKEa9euISQkxGnv6ePjg6ysLBQXF6vel7XbPKzN7vyRvbeTWNve2no13Cbg+ec//4kPP/xQfl0xa7Nz50707dsXAHD69Gnk5+fL28ycORM3btzA1KlT5cKD27dvR6NGjeRt3nnnHXh6emLUqFFy4cHU1FR4eHhUe2z16tWzWqjQz8/PbX+ggPuPH+Ax1AXuPn6Ax1AXuPv4ActjcNbMzh/5+PjAx8fH6e/zRwEBAfDw8Kgym/PH20luZzQarW7v6emJpk2bOmxsbpOllZqaCkmSqiwVwQ5wKyKcMGGC/Fqn02HOnDnIzc3FzZs3sXv3brRv395ivz4+Pli4cCEuX76M69ev4/PPP2fWFRERUQ14e3sjKioK6enpFuvT09Nt3hsbExNTZfvt27eja9euDrt/B3CjgIeIiIjqvsTERPz73//GBx98gFOnTuG5555DdnY2pkyZAuBWpvO4cePk7adMmYJffvkFiYmJOHXqFD744AOsWLECM2bMcOi43OaSljvR6/WYPXu24jXOusrdxw/wGOoCdx8/wGOoC9x9/IA2jsEeo0ePxuXLl/HKK68gNzcX7du3x9atWxEeHg7gVnLQH2vyREREYOvWrXjuueewePFihISEYMGCBXjooYccOi6dpKW60URERERW8JIWERERaR4DHiIiItI8BjxERESkeQx4iIiISPMY8BAREZHmMeBxsCVLliAiIgI+Pj6IiorCN9984+ohVdupU6fg7++Pli1bolOnTmjYsKFFYUd34K7HcO3aNXTr1g2dOnVChw4dsHz5clcP6U/J09MTnTp1QqdOnTBp0iRXD8cuWjiHTp8+LX/+nTp1gq+vLzZt2uTqYVVLcnIyunXrhkaNGiEwMBD3338/Tp8+7eph0R9J5DBr166VvLy8pOXLl0s//PCD9Oyzz0oNGjSQfvnlF1cPrdri4uKk48ePS5IkSS1btpRu3Ljh4hHZzx2PobS0VCosLJQkSZIKCwuliIgI6dKlSy4e1Z9P06ZNXT2EGtPaOXTt2jWpadOmUkFBgauHUi0DBw6UVq5cKZ04cULKzMyUhgwZIoWFhbnN+P8MOMPjQG+//TYmTpyISZMmITIyEikpKQgNDcXSpUtdPbRq++mnn9C6dWtcu3YNHh4etf4cFkdwx2Pw8PBA/fr1AQA3b95EWVkZJElyyxmrNm3aQKfTWV0WLFjg6uHZzV2+Ay2dQwCwefNm9O/fHw0aNHCLY9i2bRsmTJiAdu3aoWPHjli5ciWys7Nx+PBhANr7XbglV0dcWlFUVCR5eHhIGzZssFj/zDPPSL1793bRqOyTn58vRUZGSpIkSfv27ZPuv/9+F4/Ifu58DFeuXJHuvvtuydfXV1q0aJG83t1mrH744QcJgPTVV19Jubm5UnZ2tuTp6Sl99tln0s2bN109PCEvLy+pS5cuUs+ePaVdu3bJ693lO9DKOSRJkjRixAhp/fr18mt3O4YzZ85IAKTvv/9ekiT3/l1oBWd4HOTSpUsoKyur8jTYoKCgKk+BratOnjyJtm3bArj1f7V33XWXi0dkP3c+hsaNG+PYsWPIysrCJ598gosXLwJwvxkrk8kET09P9OzZE0ajEZcvX0ZpaSl69epV50vrnzt3DocPH8Z7772HcePGwWw2A3Cf70Ar55DZbMa3336LwYMHy+vc6RgkSUJiYiLuuece+YHV7vy70AoGPA6m0+ksXkuSVGVdXfXDDz+gXbt2AIAGDRrgiy++wO+//+7iUdlHC8cQFBSEu+++G3v27IHZbIavry+8vb1x4sQJOZiry77//nvcdddd8h/xzMxMNGvWrMr/DNRFISEhAID27dujbdu2+Omnn9zyO3D3cygtLQ0DBw6Ugxp3O4Zp06bh+PHjWLNmjbzOnX8XWsGHhzpIQEAAPDw8qszm5OXluc0JPXHiRPm/R48ejdGjR7twNDXjrsdw8eJF+Pr6ws/PD2azGXv27MHf/vY3t5yxOn78ODp06CC/zszMxN133+3CEVXPlStXUL9+fej1evz666/44YcfcOedd7rNd6Clc+jTTz/FE088Ib92p2N4+umnsXnzZuzZswd33HGHvN5dfxdawhkeB/H29kZUVBTS09Mt1qenpyM2NtZFoyJ38euvv6J3797o2LEj7rnnHkybNg133323W85YHT9+3OIPubv8YT916hS6du2Kjh07YujQoXj33Xfh7+/vNt+BVs6h/Px8fPfddxg4cKC8zh2OQZIkTJs2DRs2bMDXX3+NiIgIi3Z3/V1oCZ+W7kDr1q1DQkIC3nvvPcTExGDZsmVYvnw5Tp48ifDwcFcPT5HSpTd3OFW0cAzurLy8HI0aNcK6deswdOhQAEBYWBief/55PPvssy4eHZHzTJ06FZ988gnS0tLQunVreb3BYIBer+fvoi5w4Q3TmrR48WIpPDxc8vb2lrp06SLt3r3b1UOyW2FhoRQWFiY9//zzrh6K3bKzs6U+ffpIkZGRUocOHaRPP/3U1UP6U/npp58kABa1p4YOHSo1btzYLX8LRNUFwOqycuVK/i7qCM7wUBUvvfQSzpw5g7CwMLz55puuHo5dcnNzcfHiRXTq1Al5eXno0qULTp8+jQYNGrh6aEI1vbGdP1/HcffvwN3HD2jjGKju4j08ZOHMmTP48ccfLdJB3UlwcDA6deoEAAgMDIS/v3+du9ZvjSRJVZbCwkJ52ttaO//IO5a7fwd/HFN2djb69OmDyMhIdOjQAZ9++mmdHz/g/t8B1W0MeMjCjBkzkJyc7OphOMShQ4dQXl6O0NBQVw+lRl599VX06NHD1cP4U3PX78DT0xMpKSn44YcfsGPHDjz33HMoLCx09bBqxF2/A6p7GPCQLC0tDXfddVedTvmsrsuXL2PcuHFYtmyZq4dSI+4+06YF7vwduOtM5+3c+TuguocBD8n279+PtWvXokWLFpgxYwaWL1+OV155xdXDsltRUREeeOABJCUluW1JAC3NtLkrrXwH7jzTqZXvgOoGBjwkS05ORk5ODs6dO4c333wTkydPxj//+U9XD8sukiRhwoQJuPfee5GQkODq4dSIlmba3JVWvgN3nunUyndAdQcrLZOmfPvtt1i3bh3uvvtubNq0CQDw0UcfWVQ4resqZto+++wzFBQUoKSkBH5+fm4XfLozLXwH7j7TqYXvgOoWpqUT1WGpqak4ceKE25UH0BJ3/A4kScLYsWPRunVrzJkzx9XDUc0dvwOqe3hJi4hIYypmOjdt2oROnTqhU6dO+P777109LCKX4gwPERERaR5neIiIiEjzGPAQERGR5jHgISIiIs1jwENERESax4CHiIiINI8BDxEREWkeAx4iIiLSPAY8REREpHkMeIiIiEjzGPAQERGR5jHgISIiIs1jwENERESax4CHiBxq2rRpuOeee6y2tWjRAq+++motj4iICPB09QCISDt++OEHLF26FHv27LHaHhkZiczMzNodFBEROMNDRA70xhtvoFu3bujZs6fVdn9/f1y8eLGWR0VExICHiByktLQU69evx0MPPSSve/LJJ7FixQr59bVr19CgQQNXDI+I/uQY8BCRQ/z3v//FtWvX0KFDBwBAeXk5PvvsMzRs2FDe5vjx44iMjHTVEInoT4wBDxE5xNWrVwFADnC+/PJLXLlyBd7e3gCA7777Dr/88gvuv/9+F42QiP7MeNMyETlEeHg4dDod1qxZgwYNGuD555/H4MGDkZaWhhYtWuDJJ5/Evffei969e7t6qET0J6STJEly9SCISBuSk5Px2muvwdfXF//3f/+H7t27Y8SIEcjLy8OwYcOwZMkS+Pv7u3qYRPQnxICHiIiINI/38BAREZHmMeAhIiIizWPAQ0RERJrHgIeIiIg0jwEPERERaR4DHiIiItI8BjxERESkeQx4iIiISPMY8BAREZHmMeAhIiIizWPAQ0RERJr3/wHQF3569TDPogAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -255,7 +255,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x303d56d40>"
+       "<matplotlib.image.AxesImage at 0x3199f6190>"
       ]
      },
      "execution_count": 8,
@@ -264,7 +264,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "id": "551aa2fd",
    "metadata": {},
    "outputs": [
@@ -315,15 +315,15 @@
        "Text(0.5, 1.0, \"MDS of Matisse's Leaves via ECT distances\")"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdQAAAG0CAYAAACL09Y2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAACmpUlEQVR4nOydd3hTZd+A7yRt0pnuwd5Q9ih7CwiyUQQFFRBRVHDhK673VXHhHijDgagIKiCCICLI3nvvPVra0r3TJjnfH/0S0zRpkzRp0va5r+tc5DznOec8KW3u/H7PODJJkiQEAoFAIBCUC7m7GyAQCAQCQVVACFUgEAgEAicghCoQCAQCgRMQQhUIBAKBwAkIoQoEAoFA4ASEUAUCgUAgcAJCqAKBQCAQOAEhVIFAIBAInIAQqkAgEAgETkAItZpz4cIFBg4cSFBQEDKZjFWrVrm7SSW4evUqMpmM77//3t1NEVQQffv2pW/fvu5uhlt44403kMlkxcrq16/PpEmT3NMggc0IodrI999/j0wmQyaTsXPnzhLHJUmiTp06yGQyhg0bVuyY4TyZTIaXlxehoaHExsbyzDPPcPr0aYv3u337Ns888wwxMTH4+voSGRlJ586defHFF8nOznba+5o4cSInTpzgnXfeYfHixXTs2NFiPYPUZDIZb7/9tsU6DzzwADKZjICAAIfasnTpUj777DOHznU1ffv2dcoHmuHn+NFHH5W/UQKb6du3b7G/Q9MtJiamRP1Lly4xdepUGjZsiI+PD2q1mh49evD555+Tl5dnlF5Zmzu/FKxbt4433njDbfevjni5uwGVDR8fH5YuXUrPnj2LlW/bto2bN2+iUqksnnfnnXcyYcIEJEkiIyODY8eO8cMPPzBv3jzef/99ZsyYYaybmppKx44dyczMZPLkycTExJCSksLx48eZP38+TzzxhMPSMiUvL489e/bw6quvMn36dJvO8fHx4eeff+a///1vsfKcnBxWr16Nj4+Pw+1ZunQpJ0+e5Nlnny1WXq9ePfLy8vD29nb42oLKxYYNG5x+zdq1azN79uwS5UFBQcX2//zzT8aMGYNKpWLChAm0atWKgoICdu7cyQsvvMCpU6eYPn06jRs3Np6TnZ3NE088wd13380999xjLI+KinJK28+dO4dcbl/8s27dOubOnSukWoEIodrJkCFDWL58OXPmzMHL698f39KlS4mNjSU5OdnieU2bNuXBBx8sVvbee+8xfPhwnn/+eWJiYhgyZAgACxcu5Pr16+zatYvu3bsXOyczMxOlUumU93L79m0AgoODbT5nyJAhrFy5kmPHjtG2bVtj+erVqykoKOCuu+5i8+bNTmmfAZlMVi5RCyofzvodNyUoKKjE36A5V65c4f7776devXps3ryZGjVqGI9NmzaNixcv8ueff9KmTRvatGljPJacnMwTTzxBmzZtyryHI1j7oi7wLETK107GjRtHSkoKGzduNJYVFBSwYsUKxo8fb9e1wsLC+OWXX/Dy8uKdd94xll+6dAmFQkHXrl1LnKNWq22Sy5EjRxg8eDBqtZqAgAD69+/P3r17jcffeOMN6tWrB8ALL7yATCajfv36ZV63W7duNGjQgKVLlxYrX7JkCXfddRehoaElzlm9ejVDhw6lZs2aqFQqGjVqxFtvvYVOpzPW6du3L3/++SfXrl0zpssM7bHUh5qQkMDDDz9M7dq1UalU1KhRg5EjR3L16lVjnYMHDzJo0CDCw8Px9fWlQYMGTJ48uVjb9Ho9n332GS1btsTHx4eoqCimTp1KWlpamT+LL774gpYtW+Ln50dISAgdO3Ys8XNxFI1Gw+uvv07jxo1RqVTUqVOHmTNnotFoitVbtGgR/fr1IzIyEpVKRYsWLZg/f36xOsOGDaNhw4YW79OtW7cSaf6ffvqJ2NhYfH19CQ0N5f777+fGjRvF6ly4cIHRo0cTHR2Nj48PtWvX5v777ycjI8Pqe5o+fToBAQHk5uaWODZu3Diio6ONvxPmfagFBQW89tprxMbGEhQUhL+/P7169WLLli1W7+cIH3zwAdnZ2SxcuLCYTA00btyYZ555xmn327lzJ506dcLHx4dGjRrx1VdfWaxn3odaWFjIrFmzaNKkCT4+PoSFhdGzZ0/j59KkSZOYO3cuULzLycBHH31E9+7dCQsLw9fXl9jYWFasWFHivjKZjOnTp7Nq1SpatWqFSqWiZcuWrF+/vkTduLg4HnnkEePfeYMGDXjiiScoKCgw1klPT+fZZ5+lTp06qFQqGjduzPvvv49ery92rV9++YXY2FgCAwNRq9W0bt2azz//3PYfrJsQEaqd1K9fn27duvHzzz8zePBgAP766y8yMjK4//77mTNnjl3Xq1u3Ln369GHLli1kZmaiVqupV68eOp2OxYsXM3HiRLvbeOrUKXr16oVarWbmzJl4e3vz1Vdf0bdvX7Zt20aXLl245557CA4O5rnnnmPcuHEMGTLE5jTyuHHj+Omnn3jvvfeQyWQkJyezYcMGFi9ebPEP7fvvvycgIIAZM2YQEBDA5s2bee2118jMzOTDDz8E4NVXXyUjI4ObN2/y6aefApTantGjR3Pq1Cmeeuop6tevT1JSEhs3buT69evG/YEDBxIREcFLL71EcHAwV69eZeXKlcWuM3XqVL7//nsefvhhnn76aa5cucKXX37JkSNH2LVrl9U08zfffMPTTz/NvffeyzPPPEN+fj7Hjx9n3759dn+xMkev1zNixAh27tzJY489RvPmzTlx4gSffvop58+fLzZwbP78+bRs2ZIRI0bg5eXFmjVrePLJJ9Hr9UybNg2A++67jwkTJnDgwAE6depkPPfatWvs3bvX+H8A8M477/C///2PsWPHMmXKFG7fvs0XX3xB7969OXLkCMHBwRQUFDBo0CA0Gg1PPfUU0dHRxMXFsXbtWtLT00ukUA3cd999zJ0715hSNZCbm8uaNWuYNGkSCoXC4rmZmZl8++23jBs3jkcffZSsrCwWLlzIoEGD2L9/P+3atSvz56rT6SxmkHx9ffH39wdgzZo1NGzYsERmyBWcOHHC+Dv6xhtvoNVqef31121KE7/xxhvMnj2bKVOm0LlzZzIzMzl48CCHDx/mzjvvZOrUqcTHx7Nx40YWL15c4vzPP/+cESNG8MADD1BQUMAvv/zCmDFjWLt2LUOHDi1Wd+fOnaxcuZInn3ySwMBA5syZw+jRo7l+/TphYWEAxMfH07lzZ9LT03nssceIiYkhLi6OFStWkJubi1KpJDc3lz59+hAXF8fUqVOpW7cuu3fv5uWXX+bWrVvG8RMbN25k3Lhx9O/fn/fffx+AM2fOsGvXLqd+mXEJksAmFi1aJAHSgQMHpC+//FIKDAyUcnNzJUmSpDFjxkh33HGHJEmSVK9ePWno0KHFzgWkadOmWb32M888IwHSsWPHJEmSpISEBCkiIkICpJiYGOnxxx+Xli5dKqWnp9vU1lGjRklKpVK6dOmSsSw+Pl4KDAyUevfubSy7cuWKBEgffvhhmdc0rXvy5EkJkHbs2CFJkiTNnTtXCggIkHJycqSJEydK/v7+xc41/JxMmTp1quTn5yfl5+cby4YOHSrVq1fP6r0XLVokSZIkpaWlldnu33//3fj/ZY0dO3ZIgLRkyZJi5evXr7dYbsrIkSOlli1bWj1uDVt+5osXL5bkcrnx52tgwYIFEiDt2rXLWGbpZzto0CCpYcOGxv2MjAxJpVJJzz//fLF6H3zwgSSTyaRr165JkiRJV69elRQKhfTOO+8Uq3fixAnJy8vLWH7kyBEJkJYvX27juy5Cr9dLtWrVkkaPHl2sfNmyZRIgbd++3VjWp08fqU+fPsZ9rVYraTSaYuelpaVJUVFR0uTJk8u8d58+fSTA4jZ16lRJkop+ToA0cuRIu96XJEnS7du3JUB6/fXXbT5n1KhRko+Pj/HnL0mSdPr0aUmhUEjmH8316tWTJk6caNxv27Ztic8Zc6ZNm1biOgbMf28KCgqkVq1aSf369StWDkhKpVK6ePGisezYsWMSIH3xxRfGsgkTJkhyudzi35ter5ckSZLeeustyd/fXzp//nyx4y+99JKkUCik69evS5JU9HmoVqslrVZb6vvzRETK1wHGjh1LXl4ea9euJSsri7Vr15YrKjFEYllZWUDRQIZjx47x+OOPk5aWxoIFCxg/fjyRkZG89dZbSKU8E16n07FhwwZGjRpVLM1Xo0YNxo8fz86dO8nMzHS4rQAtW7akTZs2/Pzzz0BR//HIkSPx8/OzWN/X19f4Oisri+TkZHr16kVubi5nz561+/6+vr4olUq2bt1qNTVr6Bdeu3YthYWFFussX76coKAg7rzzTpKTk41bbGwsAQEBpaYTg4ODuXnzJgcOHLC7/WWxfPlymjdvTkxMTLF29evXD6BYu0x/thkZGSQnJ9OnTx8uX75sTL+q1WoGDx7MsmXLiv3u/Prrr3Tt2pW6desCsHLlSvR6PWPHji123+joaJo0aWK8ryEC/fvvvy2mb60hk8kYM2YM69atKzZS/ddff6VWrVolBvqZolAojP2qer2e1NRUtFotHTt25PDhwzbdv379+mzcuLHEZhgEZ/i7CAwMtPk9OYpOp+Pvv/9m1KhRxp8/QPPmzRk0aFCZ5wcHB3Pq1CkuXLjg0P1Nf2/S0tLIyMigV69eFn+WAwYMoFGjRsb9Nm3aoFaruXz5MlD0/7Fq1SqGDx9ucZaAIdW8fPlyevXqRUhISLHfrwEDBqDT6di+fbvxveXk5BTrVqssCKE6QEREBAMGDGDp0qWsXLkSnU7Hvffe6/D1DB8upn/INWrUYP78+dy6dYtz584xZ84cIiIieO2111i4cKHVa92+fZvc3FyaNWtW4ljz5s3R6/Ul+sMcYfz48SxfvpyLFy+ye/fuUr9QnDp1irvvvpugoCDUajURERHGgRul9blZQ6VS8f777/PXX38RFRVF7969+eCDD0hISDDW6dOnD6NHj2bWrFmEh4czcuRIFi1aVKwP8sKFC2RkZBAZGUlERESxLTs7m6SkJKttePHFFwkICKBz5840adKEadOmsWvXLrvfiyUuXLjAqVOnSrSpadOmAMXatWvXLgYMGIC/vz/BwcFERETwyiuvAMV/tvfddx83btxgz549QFE//aFDh7jvvvuK3VeSJJo0aVLi3mfOnDHet0GDBsyYMYNvv/2W8PBwBg0axNy5c236v7zvvvvIy8vjjz/+AIp+99etW8eYMWNKzL0054cffqBNmzbGPsOIiAj+/PNPm3+H/P39GTBgQInNMG1GrVYD/36xdSW3b98mLy+PJk2alDhm6W/XnDfffJP09HSaNm1K69ateeGFFzh+/LjN91+7di1du3bFx8eH0NBQIiIimD9/vsWfpanwDYSEhBi/zN6+fZvMzExatWpV6j0vXLjA+vXrS/xuDRgwAPj39/rJJ5+kadOmDB48mNq1azN58mSLXUmeiOhDdZDx48fz6KOPkpCQwODBg+0aKWvOyZMnUSgUNGjQoMQxmUxG06ZNadq0KUOHDqVJkyYsWbKEKVOmlKP15WfcuHG8/PLLPProo4SFhTFw4ECL9dLT0+nTpw9qtZo333yTRo0a4ePjw+HDh3nxxRdLDEawlWeffZbhw4ezatUq/v77b/73v/8xe/ZsNm/eTPv27ZHJZKxYsYK9e/eyZs0a/v77byZPnszHH3/M3r17CQgIQK/XExkZyZIlSyzeIyIiwur9mzdvzrlz51i7di3r16/nt99+Y968ebz22mvMmjXLofdkQK/X07p1az755BOLx+vUqQMUSbF///7ExMTwySefUKdOHZRKJevWrePTTz8t9rMdPnw4fn5+LFu2jO7du7Ns2TLkcnmxvky9Xo9MJuOvv/6y2Jdp2qf98ccfM2nSJFavXs2GDRt4+umnmT17Nnv37qV27dpW31vXrl2pX78+y5YtY/z48axZs4a8vLxiYrfETz/9xKRJkxg1ahQvvPACkZGRKBQKZs+ezaVLl0o911bUajU1a9bk5MmTTrmeK+nduzeXLl0y/vy//fZbPv30UxYsWFDmZ8OOHTsYMWIEvXv3Zt68edSoUQNvb28WLVpkcVCdtX7t0jJlltDr9dx5553MnDnT4nHDF8bIyEiOHj3K33//zV9//cVff/3FokWLmDBhAj/88INd96xw3JtxrjyY9qFKkiRlZWVJvr6+EiD9+uuvxnr29qFeu3ZN8vLyknr27GlTO8LCwqRmzZpZPa7VaiU/Pz9p7NixJY49/vjjklwulzIyMiRJcrwP1UDPnj0lQHriiSeMZeZ9qIa+zG3bthW73tdffy0B0pYtW4xlw4YNs6kP1RLnz5+X/Pz8pAceeMBqnSVLlkiA9M0330iSJElPPvmkpFAoLPZD2otGo5GGDh0qKRQKKS8vz2o9W37mQ4YMkWrVqmXse7LGp59+KgHF+uAkSZJeeeUVCZCuXLlSrHzs2LFSzZo1JZ1OJ7Vt27ZYH6UkFfWpAtK5c+dKva8ldu3aJQHSq6++WmbdmTNnSiqVSsrIyJBGjhwp1a9fv0Qd8z7UkSNHSg0bNizxM+nevbvF3xlL17Olz/uxxx6TAGn37t1l1jXF3j5UrVYr+fr6Svfff3+JY0OGDCmzD9WcrKwsqX379lKtWrWMZdOnT7fYh/rMM89Ivr6+xcYvSJIkjR8/vkR9a59dpu3R6XSSWq0us++5RYsWUrdu3UqtYwmdTidNnTpVAqQLFy7YfX5FIlK+DhIQEMD8+fN54403GD58uEPXSE1NZdy4ceh0Ol599VVj+b59+8jJySlRf//+/aSkpJSaElIoFAwcOJDVq1cXm0KSmJhoXJDCkNoqL2+//Tavv/46Tz31VKntgeLfZgsKCpg3b16Juv7+/jal73Jzc8nPzy9W1qhRIwIDA40p3bS0tBLfoA0jQQ11xo4di06n46233ipxD61WS3p6utU2pKSkFNtXKpW0aNECSZKs9tnaytixY4mLi+Obb74pcSwvL8/4u2HpZ5uRkcGiRYssXve+++4jPj6eb7/9lmPHjpWICu+55x4UCgWzZs0q8bOTJMn4njMzM9FqtcWOt27dGrlcXmJaj7V2aDQafvjhB9avX8/YsWPLPMfSe923b58xhe0sZs6cib+/P1OmTCExMbHE8UuXLjll+oZCoWDQoEGsWrWK69evG8vPnDnD33//Xeb55r9/AQEBNG7cuNjP3zBy2fz3WKFQIJPJik1bu3r1qsPLjsrlckaNGsWaNWs4ePBgieOG/7OxY8eyZ88ei+8vPT3d+Dtl/t7kcrlxzq8tv1/uRKR8y4E9U1rOnz/PTz/9hCRJZGZmcuzYMZYvX052djaffPIJd911l7Hu4sWLWbJkCXfffTexsbEolUrOnDnDd999h4+Pj7GPzBpvv/02GzdupGfPnjz55JN4eXnx1VdfodFo+OCDDxx+v+b06dOHPn36lFqne/fuhISEMHHiRJ5++mlkMhmLFy+2mC6KjY3l119/ZcaMGXTq1ImAgACLX1bOnz9P//79GTt2LC1atMDLy4vff/+dxMRE7r//fgDjKlR33303jRo1Iisri2+++Qa1Wm1cQKNPnz5MnTqV2bNnc/ToUQYOHIi3tzcXLlxg+fLlfP7551b7xgcOHEh0dDQ9evQgKiqKM2fO8OWXXzJ06FCbBrVs2rSpxJcCgFGjRvHQQw+xbNkyHn/8cbZs2UKPHj3Q6XScPXuWZcuW8ffff9OxY0cGDhyIUqlk+PDhTJ06lezsbL755hsiIyO5detWiWsPGTKEwMBA/vOf/6BQKBg9enSx440aNeLtt9/m5Zdf5urVq4waNYrAwECuXLnC77//zmOPPcZ//vMfNm/ezPTp0xkzZgxNmzZFq9WyePFii9e0RIcOHWjcuDGvvvoqGo2mzHQvFM2lXblyJXfffTdDhw7lypUrLFiwgBYtWti8FGdGRgY//fSTxWOGPv1GjRqxdOlS7rvvPpo3b15spaTdu3ezfPlyp62pO2vWLNavX0+vXr148skn0Wq1xrnNZfWHtmjRgr59+xIbG0toaCgHDx5kxYoVxVY8i42NBeDpp59m0KBBKBQK7r//foYOHWr8zBk/fjxJSUnMnTuXxo0b29UPa8q7777Lhg0b6NOnj3Gq161bt1i+fDk7d+4kODiYF154gT/++INhw4YxadIkYmNjycnJ4cSJE6xYsYKrV68SHh7OlClTSE1NpV+/ftSuXZtr167xxRdf0K5dO5o3b+5Q+yoMd4XGlQ3zlK81rKV8DZtcLpeCg4Ol9u3bS88884x06tSpEtc4fvy49MILL0gdOnSQQkNDJS8vL6lGjRrSmDFjpMOHD9vU3sOHD0uDBg2SAgICJD8/P+mOO+4okcYqb8rXEpamzezatUvq2rWr5OvrK9WsWVOaOXOm9Pfff5dI+WZnZ0vjx4+XgoODJcCYyjNP+SYnJ0vTpk2TYmJiJH9/fykoKEjq0qWLtGzZsmLvf9y4cVLdunUllUolRUZGSsOGDZMOHjxYos1ff/21FBsbK/n6+kqBgYFS69atpZkzZ0rx8fFW3+dXX30l9e7dWwoLC5NUKpXUqFEj6YUXXjCm08v6OVrbFi9eLElS0TSG999/X2rZsqWkUqmkkJAQKTY2Vpo1a1axe/zxxx9SmzZtJB8fH6l+/frS+++/L3333XcWU76SJEkPPPCABEgDBgyw2sbffvtN6tmzp+Tv7y/5+/tLMTEx0rRp04yp4MuXL0uTJ0+WGjVqJPn4+EihoaHSHXfcIf3zzz+lvndTXn31VQmQGjdubPG4ecpXr9dL7777rlSvXj1JpVJJ7du3l9auXStNnDjR5pRvaT93c86fPy89+uijUv369SWlUikFBgZKPXr0kL744osSqVJJcmzajCRJ0rZt26TY2FhJqVRKDRs2lBYsWCC9/vrrZaZ83377balz585ScHCw5OvrK8XExEjvvPOOVFBQYKyj1Wqlp556SoqIiJBkMlmxay5cuFBq0qSJpFKppJiYGGnRokUW74sNKV8D165dkyZMmCBFRERIKpVKatiwoTRt2rRi052ysrKkl19+WWrcuLGkVCql8PBwqXv37tJHH31kbPuKFSukgQMHSpGRkZJSqZTq1q0rTZ06Vbp165ZdP1t3IJMkO3uWBQKBQCAQlED0oQoEAoFA4ASEUAUCgUAgcAJCqAKBQCAQOAEhVIFAIBAInIAQqkAgEAgETkAIVSAQCAQCJ1AtFnbQ6/XEx8cTGBhY5gLcAoFAIKiaSJJEVlYWNWvWRC53fjxZLYQaHx9vXFBcIBAIBNWbGzdulPoQB0epFkI1LAV348YNp61jKxAIBILKRWZmJnXq1HHZM2+rhVANaV61Wi2EKhAIBNUcV3X9iUFJAoFAIBA4ASFUgUAgEAicgBCqQCAQCAROQAhVIBAIBAInIIQqEAgEAoETEEIVCAQCgcAJCKEKBAKBQOAEhFAFAoFAIHACQqgCgUAgEDgBIVSBQCAQCJyAEKpAIBAIBE5ACFUgEAgEAicghCoQCAQCgRMQQhUIBAKBwAlUi8e3CQTOovPMdcX2938wxE0tEQgEnoaIUAUCGzGXqbUygUBQPRERqkBQBmVJ03BcRKsCQfVGRKgCQSnYE4GKaFUgqN4IoQoEVhCCFAgE9iCEKhBYwFGZCgkLBNUX0YcqqBZ0m/Z9sf09cye57F6dZ64T/akCQTVECFXgUmKf/qXU44fm3O/S+5uL1LzcklhFlCkQCBxBpHwFLqMsmdpax1GsydTeOvYiolOBoHoihCpwCa4UpS3YI0pXSFUgEFQ/hFAFTsdemTpbvkKQAoHAHQihCqoUjsrU9LzypGxFulcgqL6IQUkCp+KKVG+XJ5aWWWff/PFOv29Z7P9giBjAJBAIjAihCjwaW2RqqOdMqVqSpSH6NJSL6TECgcAUkfIVeCy2ytS0vl6vdNr9S5OluVwFAoFACFXgVOydV6r2rYHatwZ3vLjNRS2yDWsLPez/YIhxg+ICFdGpQCAwRaR8BW5D7Vuj2P4dL25jy/t9APujU1P0eiVyeUGpdcq7UpIh3VsRUu3+//3Su128CIZAICgfMkmSJHc3wtVkZmYSFBRERkYGarXa3c2pFpQ1OMlcpubkZsaV6/5lCdUUe+VaEY9r627D4C4hWIHAPlztAhGhCox0n/mHxfLdH4yw+1qH5txfrhG/fupaxtfllaspe+ZOKrbsYLdp35e6DKE7sEWmhnpCqgKB5yAiVAFgXaamOCJWA+ZyLStCNcVeoe6bP97ifFSDMD1NoKbYKlNThFQFAttwtQuEUAU2ydQUe8Ta/aXV7H5vJFDUR5qZdwu1bw3jv7Zii1TtmTbTbdr3VUaoIKQqENiCq10gRvlWc+yVqUP3eGk1gHHAEdgXoULxFLAlHJmDah7Fjnjrb7uv4Sk4KmKBQOA8RB9qNcZRmXaf+YfNUeru90YahWpgy/t97J4m48x+VFPMJWq6/8f/BrnkngKBoGoiUr7VmPJGp7ZKtftLq1FJwcZ9e9O9YJ9QbY1WbYlIK1qq5Y00RepXILCOSPkKKj2mMtXI0p0m033zx1uUpy1zWD01vWsuxN1z7jduAoHAsxEpX4HL2fJ+nxJpX3swl6a5MF25MP6It/6u8CjVkjzFvFSBwPMRQhU4ndLkaRqtloXpICZn4qnRqTVMZbp7zv1iAJJA4KGIlK/A6ex+b6Rxqow5Glm6cSsNV8nUEdwpYLHsoEBQeRARahWm65TFJcr2fvtQua6pLdAZX3d+9nf2f3Z3seP93tpofO3j70d+Tq7D9+oy/UfLBxSArur/6gqZCgSVCxGhVlEsydRQbu1YaWgLdMVkaqDzs78DRSI1lWl5yM25Zl2mBhTasutUAWyVqZCuQOB+hFCrKV2nLLZp2os1kZrS+dnfyU7JtrsNpulfw5abc83u65jS+6VlxTZLWBpkVNbAo4pO+5bWT2ppJHBlotujP7m7CQKBS6j6ebNqiK0RaNcpi5GHBlk8tvuDEcbos6LQZWc4dJ41cZof2/7eWIt1/vjfII8aqGRLqreySdScbo/+xJ5vHjS+Bkrsm5ZZqicQeBoiQq1i2JvO1adallhFy9RRHE37/vG/QcbN0+n5SPWI6EqLXEVUK6gMiAhVgD41w2qkWl5MBybJkrOs1pPCA11yf1N6v7TMYpRqvtygrdHqgNc2l3r8nzf72XQdc2HKTcp3LnyQnQuLIrLKHpWaYxqlCgRVARGhViEcGWxkibL6TB2hNJkajnvlu/7X0Vp6OPPsOQD6PjDHpuuUJVNDnbLqlRZ9GkRanRGRqaAyISJUAVB8XV5np3vLkqkpXvlytD56p97fnN4vLUN+I6FEuUGqZWGLTM3rW4pWzWW6c+GDxqi0KrPnmweNojQXpiFqtSZSEdEKPBkRoQqK4Ql9pxURqdqLoa/VXpkasHSeuTirg0wtISQpqCp43ieXwCGcle51NppriQ6d55UvZ9+XE8qspwrwcej6pZF59pxxg/LL1B56PvJTtRiEZD56V0hVUBUQQhVQnif4yZVexi03K9+JrbLMvi8nGDdXyNQcZ44CtiVKtVZWFdnzzYMWp8pYSgMb6gsEnowQajXHINMuj9g2/cQgT8Nrc5wp1R5TPCdSc2V0airQ6iJTU0zFWlodgcDTEYOSBEa6PPIjBJZ/+kpuVj5+ga6PHi1NgSltkQd72brkaaddyxaqo0xNEdIUVHZEhFpNkSTJ7lSvpYjUGoZIVVUvyq57mGNI7zqCtZWRbMEemdo631RQMVx//S7jJhBUJEKoVQR7nyIjk8kslps/PcYZqOpFGbdd37ouCnFWdOoqmVqraxiEVB0GI7kSSxIVUhVUJG4X6htvvIFMJiu2xcTEGI/n5+czbdo0wsLCCAgIYPTo0SQmOjZytKpTWsRpGpGWFZlakqp5dCpXeqEv0JZ6HfP+1M3/u9PhflFDlFrWUoPb3xtbLDJ1JEq1tLiDuQz/ebOfxTJriCjWOZhGn+YbQN1Z6y2eIxBUBB7Rh9qyZUv++ecf476X17/Neu655/jzzz9Zvnw5QUFBTJ8+nXvuuYddu3a5o6kejyRJVqNPw3HTf61hKtWuM9dYrGNPCthcpru+fdDpg46sydPSIg6mbF3ytFGipUWn1qQ44LXN5N26Ro9HFxnLfGvUK6u5FjFEqdW9P9UadWettypIc5ka9oVQBRWFRwjVy8uL6OjoEuUZGRksXLiQpUuX0q9f0YfZokWLaN68OXv37qVr164V3dRKgaPTYPYttNxXufeD4cbX1uRqjc3/u9P42jTda5BpaWI1Tw/b05e6/b2xVtfutYSpVG3FVKDm5N369zF0u755uNTrGFZIEjiGqUhN5Xn99buoO2u9xahVIHAFHiHUCxcuULNmTXx8fOjWrRuzZ8+mbt26HDp0iMLCQgYMGGCsGxMTQ926ddmzZ49VoWo0GjQajXE/MzPT5e/BGYx6YzOr3rA/NThg1gYXtMY5dJ25ppiQbcVSX2uvmb+Ved6OD0YbX9ub7rW177Q0kVqrX5pULcnUUpmIWouwJkhLkWhpqWCBwNm4XahdunTh+++/p1mzZty6dYtZs2bRq1cvTp48SUJCAkqlkuDg4GLnREVFkZBgPY03e/ZsZs2a5eKWO49Rb2y2+NqaXK0JNLBuUZSfdT2BfQsn2Dy3FKxHp6bYG53ainmUaipTWyRaGt2mLYPgaFTppad9bcVemdqCQZRCoo5hKlLTlLDpa0O0KhC4ErcLdfDgwcbXbdq0oUuXLtSrV49ly5bh6+vr0DVffvllZsyYYdzPzMykTp065W6rszGVp7XjplK1NRI1iBWwSazmMr33FcuPL6vtpTS+vqktsKkt1qJT8wjUWaN/e838DW1OyaflaJwg1fLItKwoFYQ87cU8Ii2tf1UgqAjcPsrXnODgYJo2bcrFixeJjo6moKCA9PT0YnUSExMt9rkaUKlUqNXqYpsnMeqNzWXK1LQu2J/WHTBrAzGNajHx3U3ENKpl3MrCmkzNqe2lLCZYS4T6uufXy8tfYbFcExyNJji6xH63ac5bDELgeixNjzGPTA31DK9FdCqoCDxOqNnZ2Vy6dIkaNWoQGxuLt7c3mzZtMh4/d+4c169fp1u3bm5spePYKlJTnNlHairVfQsnFItObZWpKWVJdcjrf9p9TQPlTfdaw1ystuCKVK/AMayN5rWEacrXE9Bk5JCTmOruZghchNtTvv/5z38YPnw49erVIz4+ntdffx2FQsG4ceMICgrikUceYcaMGYSGhqJWq3nqqafo1q1bpRzh64hMs2Wlz/UsjbhCHbW8S0ZrMY1q8cMr/YuVOSJTA7W9lMVSwO6KTE3x8ldYTP1aYs9cx1dUErgHc4mWJcyKjlAlSeLCH7sJi6lLWLM6ZF5P5MrGQ9w6eI46vdvQclz/si8iqHS4/ZPv5s2bjBs3jmbNmjF27FjCwsLYu3cvERERAHz66acMGzaM0aNH07t3b6Kjo1m5cqWbW20/jsjUGcQVWpbKxHf/jfrLI1MDob5y42aOo1Hqjg9GFxu1W5kpq/9U4Di2RJ8VGaFmxSWzcvTrHFnwB7dPXkHS69nz/i+cXbGNvOQMGt3VucLaIqhY3B6h/vLLL6Ue9/HxYe7cucydO7eCWlR9mPjuphKRqidiKlVXpYHLy65vHi428MiQIhYidS2W+lIN/7prZO+tA2fR5hVN24to1YCrm46QfjkemVxO15n34xNS/gdQCDwTt0eo1YHyRKcBkmu/8xii06Ss61Y3Z1CevlQDzpbpnrljHUr3ZoeGGjdTYRqkangtZOpaPKVf1Jyk45cBiI5tirp2BCd+LPoba/foUGp0KlpWNW7vabe1T+A6hFArAdlxScVem+7bgrW0L2CTNMuqk+tddj/vullDy6xTGgaZOjMFbM/oXlOJmtL2xdUlygQVQ1mDk9wRnealZpFw+Dzefio6PnU3h+auIi8lk7aPDMEnNJDV499i++uLOLnYcxdjETiOEKqLcUbf6d6vH+Sf1weWEGt5uXLrskPn5Xpri22uptfM3+zuTzUfkGQtErVFqm1fXF1mHdPIVIwIrnicLc8uT/5q3Ozh8vp9SHqJHq9N5Oo/h7m29Six00cR0qgWez/4hfy0bG6fuELHp6vG2ABBcYRQXYwjSwlWBI7INCnrOiveHWR3tFne6NQg0l4zfytXpGoqVVvTvbbI1ByR6q04nL1Wr70CNefGjhO0e3QoyaevcnLJP8ROH0VEywbsemcxkk6PKjiAfh89Tlgz5yw0k5qVT14ZT30SVBxCqG7AXsl2fewnuj5Wclk6Q5RaVhrYfOqMo5GpvaybNbTcMrVEWTK1NF3GEIkaJGq+bwl7ZCoi06qDuVTtkaxPcABXNh7k9NJNdHpmNLW6tmTH64sozMmnVrcW3DX/OYLqRXNjx3G2vPgVWk2hzdc+dOE2c9ecRK8vevjFwfNJjH13A9l5tl9D4FrcPsq3OmAq0B5Tfiq2pKDhtbXUcGnyNZdsdlwSAbUii5VZmodaHto9swCAo58/XuZAoyGv/+k0oXaYvtzia0uoLJTZO/hIRKbViy5P/sq+efcZ9/fNu6+YSM2PWyO4YQ3Or9pF91ceIKpdY7a89DU5iWk0vbsn7aYMJeNaIhumf05eStEDO5JPXiE6tmmZ1z1yKZkf/jnLzlMJjOvbmNBAH95bdoR+bcte/UxQcQihuoHbN+NtqmeQae9X1tl8bdNItVn9GiWOOys6NYi1ZnDJ1JVBokNe/7PcUi1LnpbQyGSoSnmE3Z65Y0vtO3VEpoLKi0Gc5pGoI1INblSLOr3bENWuMdv+u5Ds+GS6v/IAdXq1AWDvh78aZaoM8CWshW3PzX3puz3czsgvVpaUnsuKnZf5ffcVfvvfXdSNCLDpWgLXIVK+FYil534apLnqjX7FotFVb/Sj9yvrSpWpMjyUAo3l/hNLMnUF8ek3iE+/UazMELkaUr7OmDJjLxqTh6xbik6tRayulGn7p5Zb3ATuxZIkDSI1HLMlOgUIbhCNJj2bjc98QX56NgM+f8oo04TD58m4cstYt8X4/nj7Wsqn/MuxyymcvpbKXbF1Sxzz8ir6+A5X+1Az1M+m9glcixCqh7HqjX6kFuTbFZUqw0ONAt379YM0q1+DH17pX6GLNphL1RRX9KPagqPzTO3l2PsjSz1eljiFVCse8xG8++bdZ9xM6xiO2dqPGtygBrnJGeQkptH91QdR1y5a8S39yi32f/Lv/3PL8f1pOqqn1et8u/4M3/19hm/Wn+bpBTu5p0dDgvz+XTf7WmIW6dlFy30+MawVXgrxUe4JiP8FN2EpWgX70rumXMnWsPfrosd/mYrUmWLNlJe+Nq5Bqu4SqDmOpIstYS7MY++PLLaVhpClZ2NJlKZitXS8LLlGtW9Mk5E9CG1cC0mv5/zqXfzz7JfkpWSiUHrR4cmRNBnRg+tbj1o8Pyu3gLqRAXz912l2n04gNUvDZ6uOM+6OJgAkpOZy9mY6AB2bRDCss21pY4HrEX2oHoSjMrUFg1R7P2VfH2pZEjWnNJm2f/IHm65xZN5Eu+7pSsoSZmkImVYOTPtGzaNW8zJb0BdqCaobReLRixxbuI60i3HI5DLq9mlLq4cGArDh6S/Q5msIbliToHpRxc5fsfMyRy8n8/kTPVm04Sz7zyWx7UQ8LeuF4iWXkZ5TwOVbGQT6evPGg53YezaRnzaf59OpPVA5eRCiwD5kklTK6I0qQmZmJkFBQWRkZLj12ajmUanpQ7WdJdPt7w4p9Xjvp76x+5r2SvXo54+XKLNVpqYcmTex3FHm4S/HlOt8A21fXM2x90cW62MtTbb2yPTIF463sccj31k9tmvhZIevWx2wFp2aHjPdt3bMnKTjl9ny4lcA+EUG02R4d2r3bE1AdCipF+PY8foi8lOzgKK1fvt9WPzvZdvxeF5YuBuFXMZr4ztx8EISv+++QpdmkQT6KenePJqVuy5zX5/GJKblMnftSe5oU4vJA2NoVicEhVxWok2CIlztApHyFZSJWu/4t972T/7gkEwN55oL0XTfWbK0h/JErJZwlUwNx8uqIyiOed+q6b6tKydFtKqPuk4kUe2bMOTbF4i5tw/+USGcX72Lzf+Zb5Spf3QoHaaNKnF+nzY1+fSxHshlMl5fvJ/2jcIZ3Kkuhy8l06x2MFcSM0EGhy/e5ss1J5Ek2Hwsjg9WHCU3v5DsvEKqQZzkkYiUbwWy69sHrfadVgStn1gNRBLiZXkRiO1fPGqMYLd/8SjgWERrwFGRmuOj//fDwRCxmpZVNM6Sqitlal5XRKtlY2lAknm5LcjkctpNHcauN39kz3tLUfr7cvvUFbLjUwDwiwyh8dAuNB3VC4XS8kdwj5Y1WPR8P975+RCv/3SAe3s2om3DMFbtvkKArzf5BVp+333FWP/Bfk157u42aAr1TJu7nfv6NGZgB+esxiSwHZHyrWBMherslG9hShoAe756oFh5kUiLYy7VNG1ksXKDUOHfOae2cvTzx50mU198i+3n/386yyDU/FLSW+6IYA2UlvI1Famhnr1ydSTyFFKtWFIvxnHpz73kJWcQ1KAGIY1qElQ/iqB60XZdZ/fpBD5ffZw8jZabyTl4yWX4qrx4qH8zWtcPpVa4P7XDA7idnscLC/dw/EoK86b1pmvzqLIvXs1wtQtEhFrBGKJUU5k6m25Tlxilakmm8K9ALZWfmP9vBGavTD0Fd8q0LExl60iUKtK4lYPQxrUIfab8i+B3bxFNl5golu+4xJxVx8kv1HFfn8ZMuas5AJIkse7ANT5cfpSM3AJkMvjzwDUhVDcghOoGXClTU6zJ1FYMMvXLDLepfq462eKApIrARy+VGq1WJLYMSCpPutcRRHRauVHIZbRtGEZwgIqEtFxOXk1l+4l4JOCHf85x4koK7RuHM7hjXbrGRFNDLPTgFoRQqwCGVK+zaP3EamOUaqtMzesemTex1LSvl7pk/4420/riEAbM+05N9330ErvnuX4hh/Jw5IsxJRZ6sEeu9kSnQqJVi/lrT/HCve145fu9xKfk8NW604zoWp8J/ZvSrmE4wQGlr7okcD1CqB5CQWEqSm/bH1RdUJhqfC2jZGTWbeoSkJdvbU97ZGqg+8Mr2L3oXqvHLYnU/Jh3ZrLd9zXe/8llTpdqp+dXlnr8wMf32Hyt9k8tNwrUIFXTMmewa+HkUkf4CtHazvDPx7LmGdsfRO9KElJzqBsZgKZQz8wx7Zk+bwdp2flEBPlyOyOfFnVD+OjR7u5uZrVGCNUD6PpC0UAlU6maCtMe0XoCBqmaR6mlydSUQnU4B97rR/cniz7ITAVpKLOEjjwAuliIjPc5sFhEWSI1rWePVA04S6IGgZqXCZyDQarDP//399BUsoZyV4v3q6f7EhKoolENNXpJYkTX+vyx9yo5+VpGdmtA/3a1XXp/QdmIeageRkFhajGZlnVMlukZ/YbWODJvIkfmTbRZpgY6vbSZ3fPG2i1Ta1iSbKn3t1GmjtR35QpKZUWnAscwlalpmT3l5SUksCile3f3hiSl5/H0yNb4KhU0rRXMjHva0rZhmNPvKbAPIVQPQ59SWGLLT0gkPyHRuA9FUasny7T7wyuMrzu9ZPlZr2Vh7TxTyerIK1OmBmyVqr0yNaesyLM8kal55GkpEjWUGcQq5OocbIlAnSXS7PV/kr1+LZIkIWm1FFy5RObynwEYfHkTgyMKUeem8+1zd/DepE4AFF676pR7CxxHpHwrIfkJiQAovJWl1jOd/mJOeUcA20L3h1dQGOW8dPXueWOLpYHtjTqhSKqlpX/LK1MDhsFHrsCWdK6pVE3/Falg+zBP9Za3ni2kfPwe+cePgk6LpNGATEbWqhVIhVr8B9yFVFhA7rrVFF6/Tt2Rd6M5dpT0oCByNq4nes5XKEJFpOouRITqRrq9sZ5ub6w37huiT1vRFRagKyxw6N4n5o8ssZlT2uAid+GMAUfWRFxemZqfbykSddV0mV0LJ5carQqcS1nyLE9/qvq+B1A2bQYyOZkrfgG5goAhI5Apvck7sAffzt3JP7gfmY+KwiuXydu/h7yD+wmZPkPI1M2ICNUNmErUgL0ydTbWItbdi+4tlr71FByJTt1BRc83tYSQqmMYBiNZGpBkbd8ZA5O8a9ch4tVZ6DIy0Jw+8f/y9CX8v2+Rsfg7wv87C5mfP/59B6CNv4kiMprwma8i8xNzT92NEGoVQFdYUCL9a778oD2YR6vmkaqtgnVmulcgcAdlTZuxJlNHptvoc3LI278HeVAwiuBg5EHB+LTviF+3nuizs0id/wUFF86Ru30rMi8FXjVqok1KwCsykuT33sSnfSzBE6c49kYFTkEItYKxFJ3K/MMh5ZYbWvMvpfW3uosD7/WrsHuVlu498PE9NqWDHZk6I6i8WJJp+fpRJfL270WfmY4uNRV9VibIZMi8vfGuVx9JqwVJIn3hAhSRUaTNn4M+LxeZlzfhL/4XZeOmTnhXgvIg+lArEEsydQXliU7LoqyFG8rCmiRdKU/TQUj75k20eU6quSCFMKsX5pI0l2VZ+/aiz8vDp207/PoOQB4UDDI5vt17ETn7E4InPYZcHYx//0FEf7aAqA/ngCThG9sZqbCAnO1bynVvgXMQEWoF0PGZotGe3iGBVuso6tZAd718UaorRQrFU70GqVpL/5pK1zD9xVyahn1rx52Fob+1NJEaZGmIRA1RqXl0ai1aFbKtmlgavWu+76wRvoVXLpO5/BckrRZVq9aEPPEUMm8lGb8sJv/gAYIeepiAgYMByF6/Fn1WJj7tOpC3bzfeNWuV+/6C8iOE6mIMMrUFc6naKtn93z3sUNvsxVJkakms5vUqMnVrjkGiXZ78odhAJmtytSZGe8sFVYey0rnWVlCyF99OXfDp0BEkCe2tOLI3rCd3xxbQagma+AgBdxbJNG//HjJ+XgxyOao27Yh89yO869Rz+L4C5yGeh+pCzGVaWoRqDU8SakXR64mlxfZ3zB9vsZ61kb6mEjXdFwg8GUmrJW/fbvL27Sb/8EFjuU+HjoTNeAmAvH27SZ33Oeh0KJvGEPHa2+5qbqVEPA+1kmJPZGqJPW/cRefJi8qsp/QLKtd9PA1zmZqWWROrNfbNm/hvZOrjW/YJwL5PPPtpNYKqS/6Rg6TNn1OsTObrR9DEKUh6HVmrV5K1agXodACoWrd1RzMFpSCE6oEUpmWVKJP8o5HlJAAlJdpzelGf3s4v7Us/xr64ttj+ofeH2XW+M7EkUmt17BKrjSJ1F3c8bNuygFsWibmkVR3fTl0Jf/0d5P4B6FJTSP9mHqFPzcArLJyczRvJ+u1XVG3bozl2BJlSiV/vO9zdZIEZIuXrAgzRqSyvSIyS77+pXktpX4NADce0KUX/JQaBQnGhSv7RAKikkmvY2ipVc5maUlFitUWipVEgK7kYhnl6t8sM+/q0KjJCtVWmBoRUK4akeaMAiHxyldvaYPhYlsmK1uvO+OUn5AGB+PW5g5T33sJ/4F349+nvtvZVVlztAiFUF9DpMesflJJvYDGpmkajzhAqlC3V0mRqwNVSLa9MAQplCiTyi5XJ8GHvvPuKldkqVU+WqSlCrK7DIFNwr1AFrsHVLhDzUJ1Ip8e+K1WmUBS1auPj0cbHF5OpTF/yYeCSf7RxM903oJFZTmcaUsDlwRbpegIyfIptAF2f/JWuT/5qrLPvk7Ee1TdaHpk643yBZazJNGneqGLHBAJriD5UJ1GWSC0hy8tC8g20KNPy0nP6SouRamURpTPo+uSvSD6e9Yg7azI0RJ1Clu7BXKZCoAJHEBGqmymvTK1FqVD+SLUqyFeWLxWLTj0tWrXGlkWTRWq3grBFpoaIVUSrgtIQQvUgtCmSsf9U4DwM6d/SRFoRki0rOjXdN9QVUnUtpgOQzGVqkKipTE3PE2KF27vPkHH2JvpCLXqtzt3NcTtCqAK3YG3qi61TYgplCrvuJ8u3/kXF0yNWU6mKyNX5mAvTVK6WZGp+XlXnzKeruPD1X8b95H1nSdx2AkkvkXb8Cife+pm9j33BlcWbyUtMJ+uSex/04U5EH6oTcKT/1FlYG+lbGdgxf7zVuaXWjpkONioPnijROx7+rpgsTfeFRJ2PecQJxVO+lmRaXSRqii6/gOR956h7b09UoYFc/XkbebfS0OZqaPzIQDQpmaQfv0rmhXjUlxO4/OMmdHkamj4xhPAuMe5ufoUihOoEDnw92S1StVem9vaJHnp/GK+8v7VY2bsv9rXrGmVhLlLT6TQGqfZ6YqmxnvmUGHCeZF2NaSrXVswlK3A+liJRa/vVjaxLt9DlF4AkcXvnaWqP6ELz5+7m7Jw/uLJkC+GdmtL8ubs5/J+F5CelE9i4BgVpWSBB5rm4aidUkfJ1Nxrr6ZEDXwy2esxcpuYjend+eY/dKycZGBQawKDQgBIyBSyWORt7VkKqLDI1YEjZmm7W6glci6WpMYZ0r6HMdL86oknOJPPsTQDi/z6EvkCLf71Imj9/D+pmtbn++268/FQ0engA2qw8cm/cJrBJ0ZNvsq8klHbpKomIUD0BzS1Q1ShWZEmmBonu/PIe4wheTeG/CxvYKtAgTUGJsgyVEiiSqTuwttBDaXI1leneefdVOrmWhZCq6zFP8Zr3o1Z3tNn51Braidu7z6BJziTur4PUGdmVU+8vJz8xjYzT16k9vAthnZoS0b05N37fQ50RXTj90Uoyzt5Ek5yJKrziHkjibsRKSU6iPCnfA19b/+Ds9NRfFuXaaar1lYYOfFVcQoZUryWRmtK1Rmipx01xdurXPNVrCwaBmqaBS5OqpXSxoHKR9M5wACJfXVPsdbmvW837Sa1x4p1fyU9Kp9XLYzk3dy05VxJp9+4EZHI5F776i8zzcYTGNqblzHvR5mk49tpPRPdtA3IZV5duRR1Tm1Yvj0Um94xkqHjaTCXBkX7U0kRqjdJEal7HINayRAr2ydQV7Jg/nk6P/lZh9+v/wFelHt+0ZGoFtURQFknvDHeKNEtDSNQyUX1bc+6LP7i6dCstX7yX0x/+xol3fqXdOxNoM+sBbq7Zz7XlO7j+2y7qju5B6/+N4+TbvxDdvx2xH0/hytKt3Fy9jzp3d3P3W6kQhFCdiKkgy5KruUy7vvKXxXqK/1/21xaRmtNp6lICfX3sPq+iMRep+f6Bb0bbdB1bUr5lidRSPSHXisVUoIYotCKkKihJZI8W5MWncn3FTnyiQ2j16n2c/nAlJ99dRpvXxlFnZFdC2jbgzCe/U5CWTcNJA2j13/s5/f4KUg5eILxzU9JPXnP326gwRMrXRZgLtbRo1JpMDehS0hxuh61CdSRCNU37dpm4pNixfT88UOb59kakpYnVvD/VtNywb6tMLSGkWjEYBArF07qGfdM6huNCtK4n7s8DXPl5K40m3Ulkzxac+XQVuTeSaTJ1MCFtG6DN1XDxm/Xk386g3r09CWpVj+Q9Zzj35VoaTb6TmoNi3f0WAJHyrZRYk2mXmStK1JV5+VdIm1yBuURLO2YuWEfSu50e/c3maNWAs/pN+z/wlZBqBWBJoqb7AvdQa2gnglvX5/KPm0g9fJGad8Wiyy/g4rfr8YkKoc7d3Yh5ZiSpRy5xbfkONAvWIfdWgFxGUIu67m5+hSEiVBdiEKs82PI9bZFpeaJTsD1CNWBPpLrpdJxd1zaVann6S+2VqoHyRKgGhFRdjzWhWotQTY8JXE/WpVukHDhP9pVEClKzyLl+GwD/uhFE9GhBWKempBy8wNWft9Jk6hCi72jj5hb/i4hQqygVEZl6av9pRQ4+EggEziWwUQ0CGxVN89NrdeTFp5BzI5nsS7fIOH2dG6v3osvVUHNIR4+SaUUgIlQXYSm9a4qtQq2I/lNzbIlS7Y1ODez74QGnCNVdUaqIUCuG0qJUSyngyhShZuTncOjmRZKy02kZXY/U3CzO3Y7Dx8ubCbH9ORJ3iS2XTjAhth/h/mqWHNnKL0e38enwx2gcXqPsG7gZSaenMDsPZZDndWeJB4wLHCYrL7/sSmY4W6b5Sp9iW9tHf6PsSTxl46iUNy2ZWmwzLRd4DrYKsjKJ9FZmKgCH4y7x7JpveHfLco7GX2HtmQN8uXstPx3ZSl5hAZOWfcb3h/7hn4tHAfjr3EGupd9m1ak9bmy97cgUco+UaUUghOoCnBWdOoOsvHybxNq1RqhRpntvFf3hW1u8wZYRvFAkU2sUmGzOJHbqqjI3czYtmWqMXIVYPQfTPlNLrysTpxNvMPz7N1l/7hChfoHGcm+FgtjajQFIzc0CINi36PNhyZGtaPU62tdsBMDNjOQKbrXAXoRQPRxFWIhD5x34arxdKd+9t1J598W+JSRqKDPdnI2zpGpJltbqxU5dZTX9a02qQrbuo7KK1MCea2co0Gn5aPvv1A2OoKa66Mtrck4mw2I6EeTjR4FOy59n9jOl8yAArqUl8fH23xnRogtymYyknAx3vgWBDQihVgJsleqBr8YbV0fqNHUpmz+7x6JYN392D5s/u6fEa9PjZbHvhwdsjlRtwV6pmveh2ipTU9IDogDL/armqWEhU/dgKlGDVCujXLvUbQZAUnY6b/7zM9O6DQPg0M2LBKh8ebrHCAA+3bma2FqNmNlnNIEqX5Yc2crH21cyoHE7UnIy3dZ+gW0IoTqZstK9jrD3XetPnbEFgzQtybPfsytL1LfniTLOlCoUF+WBb0YbN1eRHhAlZOnhRL66xuLKSab/ejqtousxokUXADZdPMa+G+doGVWXQ3EXeWPjUgY3i+XxroPJKchn8vLP0ep1/PbQK8wePJFa6jDOJN0gu8D+MRGCikUI1cns++Beq8eC8ANA0ubYfV3zBe+dUddUruaidSS1W165liZOU7k6W7CORLeCisdUrJWRF/rcQ72QSAD+OL2PnvVbMrx5Z1ae3M2oH9+hSXhNlj34EqNaduO3k7sZ8f2bzNv9J0k5GdRUh6FUiFmOno6YNuMCrEWpBqFmkGtxYJJBtPs+uJeur/xlMTK1tqavPcI1xRCh2pLmtYRhRSSDTM1XSCptYJIllCav7RVnecV46KtR5TpfULGYR6eVQba3szN4bOWXXEopeg7y8Oad6d2gFT8c2sTJxGvUD4kitlYjGoZFE+EfhE7Sk63JZ8eVU9zMSGbVxP+6+R1UblztAiFUJ9LrkZ8AKAizLBFToRpeZ3rJjMfV2n//KwzllqTa7unleGsKAcdF6gxKk+m+Hx6gy8QlDgvV0Si0PFIVQhVUBNmaPL7YvYZfj+1AL0mE+AbwYIc7qKUO40j8JS6nJKDV61B5eaPy8qZ9zUbcSL9Nh1qNGd6is7ubX6kRKyVVEgwyBVCmFPV1GMRqkKclTCVqia6v/EV+dnaJ8kKVN1Ak16Nzxtjd3orAPAXctgJWSLIkRZHSFXgSASpfXr5jLGNa92LFiZ2sP3+YL3atQYaMWkFh+HorycjPpUBbSExkbXILNYxs2ZV2NRu6u+mCMhBCdZBej/zEjoUPllpHmZKPb5hjzxlVayUyvWQWZWqOrVK97+1NJcp+/W9/h9oH9vWZGmR67JvRZYrVWX2kQqQCT6ZxeA1eumMML90xhuvpt7mdnUGhXkdeoYYGoVHUC45EJpOVfSGBxyCE6iA7Fj5YLCp1BbbI1EC7p5fjq9UAsGdeSdFbkqlpeXnEaqAswR4zEaXhtblcy5JpzydK/sx3zi/9i40BQ/QqRCvwNOoGR1A3OMLdzRCUE9GHaif2StTRCBUgKd/+0cCWpGpNpuY4Q6qWMI9OjzkYgVqSqSmmYjVI89BXo4q9Nj9uiuhDFQiqNqIP1cMwT/OWJdi8lFSHpOqITAHyvFT4ajV0e7KoXXVr2r6Y9n1vb3KJVB0VqCllydS0Tp4+ALBPkEKmnk2nacuNrw/M9cwxAwKBEGo5sDVazUtJLbZfnqjVXq7H3/IIqXoaQqCVByFTQWVBLOzgIK7uP430cd4C+tfjb9lV39YUcUVhS3Rqiq88G1+57f3PAs/GXKKdpi0vtgkEnoIQqgOUR6YVGZ2aYq9UXYUj6V9bBx2ZY6+IBZ6HuTQ7TVvOgbljjJIVEavAkxCDkuykvJGpQagbPhjCwJnryqxvb1+qYVCSJexJ/YLrBik5A3tk6aiQBZ6DQaS2RKSeItkfj2zhZOI1tHod/Rq2YVhMJ+Ox3dfOUKDX0bdBKze2sPohHjD+/8ydO5f69evj4+NDly5d2L9/v7ubZDfWotMNHwyxWu7MRRucLciOT/xWYqsI7I08RaRaebE3respMr2Zkcy8fevYeuUkx25dpUe95sZjS45u5dl1C3l/e9Hfyye7VvPJrtVIksQXe9a6q8kCJ1ApBiX9+uuvzJgxgwULFtClSxc+++wzBg0axLlz54iMjHR382zGMOLXkkCtSRXg6JwxtHvatg8VwyhfSzizb9SaPM3LD8537kL2BjnunP+gEGUVx3wwkmHf8NpSxGq+7y7B7rlxDv3/J/+e6zGCEN+iked/nNnP5/8vzamd7iKvUMOq03tpGl6L/Tcv8NPRbRTqdczoMdKp7dFmJKEIDEMmVwCQuvU7AlrcQcaBlUQMfd5YT5Ik42IS2qxkpEIN3qG1nNqWqkyliFA/+eQTHn30UR5++GFatGjBggUL8PPz47vvvqvwtpS1OpKrzrUkSV+tpli54XWel6pEXUuLPTiKPZGoMyNXIdDqhWlfqSUMUvVEbv//s0ubhNVkaLOOAFxNS+Kjnb8DMKlDf0Y078Q3BzaQry3kribt+efSMSQkLqcmOLUthWm3uD5/InHfTUOTcAEAhX8ocT88Q/aprUjaAhJXzSZx5Vuk7/yJ1G0/kHn0L27Mn0TulUNIOq1T21OV8XihFhQUcOjQIQYMGGAsk8vlDBgwgD179lg8R6PRkJmZWWxzJo6I0XBOaZFoWRgEak2kpnXM8bSRu/bQ84mfikWmok+0+mBvn2lZEq5o7m3VHZlMhlav483Nv5CvLaRPg1Y82WUwszb/yk/HtlEvOIK7msay7cpJANpE1XdqG3Q5qXiH1aEg6TJxi54iceVb+DaMJbTvZCStBk3CRfSaHHLO7sA7tDZZx/4ied2nBPcYjzYjiauf3kv84ufLvpHA81O+ycnJ6HQ6oqKiipVHRUVx9uxZi+fMnj2bWbNmubRdBkHaOkip3bTfja+Pzr0bKJ9cLWEp3Ws6EMnQh+oOuXZ84jdj+rfz41+VWX//gpIP/Xa1SLs+9XuJsr1f3O3SewpKxyBHW/tRzUcBu4swv0AUMjl3NGwNwLITuziZdJ1WkXWZ1X8cq07v5a/zhwCY1nUof549QPr/D0C8o1Frp7Yl7+oRFD4BKOq0Qq7yB7kXt9d8iF/jLgS07EdB4iV8ajUn/9pRlJEN0GWnEtz9fgrTboGuAJmXNz712qLLzUTh5/rHX1ZmPF6ojvDyyy8zY8YM435mZiZ16tRxyb1Ki1ZNJWqt3CDX8mKt3/R6/C2npnvLgy0iNa1rkKolkfZ84idjuT1LElrDkkxNy4VY3Y+tkvSEVHDn2k0I8wsk2Mef9LwcFh7cSN2gCD4Z8ghxmSl8tHMVAF3rNKNr7abc+/P7ALSOqkeTsJpObUtwj/GoY0cU7eh16HLSKbh9laTVswHQJFzEp24bJG0BCctfQ6bwxju8Hum7fyVs4JOE3jGFrGPrKUy5gcKvpVPbVtXw+JRveHg4CoWCxMTEYuWJiYlER0dbPEelUqFWq4ttFY01mTpazxrmstwz70GnCLS0EcGODjTSy8Ltqm9NwM7uS7UmU3vrCFyHNUF66sIODUKiqBEYAsCPRzYToPJhzrBH8VIoeHXDTxTotIT5BfJ6v/tZcnw7STkZhPoG8tod9zm1HXlXj3BjwWSufXpv0fb5fdz8diq3136EuuNIwu96msK0eLJPbiR86AxqTfwcSZK4/cf7gET2iX/wUkcQ0ushfOoImZaFxwtVqVQSGxvLpk3/pin1ej2bNm2iW7dubmyZdeyVpDOlaljDtzxSvRqXRZcnVhXbzDk4f7TTR/Daink/amkRqDPTxEKq7uXouE+L/WtJsp6Q7jXQMDSa5JxMNl46xtzhU1H7+PH02m+4mp6En7eKT4c8QpYmj8VHthAVEMycYY9SL8S5sxaUUY3wb9INhX+Iscy3UWdqTfkK7+CapGz6Ct+6rak95SsC2wwkac2HIJNR58kf8K3fHs2tc2Sf2uLUNlVlPF6oADNmzOCbb77hhx9+4MyZMzzxxBPk5OTw8MMPu7tpTqMsqVqKPK1J01SqluqUFn1ejcuyWG5JqhU179QWDJI1CNSWwUtdn/qdrk/9LtK5lQhzmVpaltBTGB7TiZc3LGZW/3FIwNRV8ziZeI1a6jC+HP4YEf5BPLduIW2i6/Pjvc/SNNy5qV4ASVtI7sV96HIz8I6oT9SYN1G3H0rS72+T8s98/Bp1Jnrce3gF1yD5r8/Ju3wQ33pt8Q6ugcI/BO+I+mQeWuP0dlVVKs1KSV9++SUffvghCQkJtGvXjjlz5tClSxebznX16himlCfaLG9/qkGkYFuEakmSZbFv/iig+CAje8Qql5Ltup+lwUnOxJGoUwi44jGI1EC7n58zlrX7+TljuSf0n5ry1JqvebBdX17a8CN1g8K5u0U3BjVpx5bLJ/nhyGYeateXYTGdOBx/idnbVvDmgAdoHlHbaffXF+aTe2Efek0O+TdPkXtxL6qoxmgzb6MvzKf25Hkgk3P7z4/IvbAXgPDBz6JuP4RbS19E0uuIHvMmcpWf09rkTsRKSf/P9OnTuXbtGhqNhn379tks06pEh8cWGTdL2JPmdUSmhvPKE5m6WpD2sveLu4UgPRxL4rRW75vUmxXRJJsZ0iyWmeu/5/keI5nRYyQJ2Wk8sOwTtl89yZxhj3JX0w7M3/cX0/74ikClLw1Dosq+qB3IvX0IaNGH3At7yL9+nMiRL+MdUR9dbjrRY2YhaQuI++FpdHmZ+Dfvg8xLhX/z3gDotRryb55G5l1yXrvAMlVylG9Vwpo8DeWHvy6e9q6IEb3mkamtkaqhnkGq9oz6dTWmUhV9pZ5NWWL1JAY1ac/JxOt8uON37m7ZlWbhtVgw8km0eh1bLp9g5ak9XE1PYlizjrzSdwxe/7+SkbOJGDoDucofmZcSvSaXoI4j8Q6pSfLfX6Kq0ZSQHg8Q9/1TqGOHo/ApWtUppPs4Urf/iKQtQKb0dUm7qhpCqB6CebrXmkjNMa1nLteK5uD80Valaj6AydG5qK5ACNTzMU3xWsLWKLaikcvkvNDrbia0v4Ofjm5l9Zl9fLHnT7I0uTQMjaZjrcY80vFOBjZuZ1zyzxWYDkoK+P8IFCCoy714qSPIv3YcVc1mhPR6yHjMr3EX/BpXv0xgeRBCrUJ0eGxRhUnVVnFawjDH1HSuqWl5RVDaIg5CsJ5DaRKtTEQFBPN8z1FM+HoKKx+eh5dcgZfCNdGoPXgHF0099G3QHt8G7d3cmsqPEKqH0G7a78Yo1dbotDSGvP1Hua/hbAxRqTVpeoJMBZ6DLRGpKZ4WnZoz4espAPh4K93cEoGrqDSDkioLjozUNZxT3vmoUCRjW2S6b/4o44hdRzDMQ3XXXFRHMZep+aAkEZ1WLspKBXsqBrkKqhYiQvUQTKVaEd9yhrz9B+v+O6KYVB0d+Wug85PflijbP+/fDw7zCNQdI35Li0RNlxkUYnUvppKsrNI0MOHrKfz4WMm/DWvlgsqLEKqDxD630mL5oU/v4ejcu8uMNq1FpWpNNuBFttz1j0wyRLLr/jvCKFODYO2RqyWRmh4zlaqnItbsLR+dpv3KgbnOXTavokj62PJDKiKfX1fua4tItHohUr4OYE2mhmOxz60sNfVrfqzdtN/pPWUxvacsNpYF6L2Mm6sxl6kBSylh07LOT35bqkwrC/ZEo0K4Jek07ddS952Bef+os/pLrclUIHAEIVQXYZCqqTzN9w1lRVGpZeyNVKPrhtnX0DIwFai5TKsaprK0JE4h09KxJFZH5WoqTPN0r+l+eVLBBpmaRqKmrytCtiKCrVqIlK8LiX1upTEF7AimMg3QuyYNnBKnByxHowbMj9kr024TSn86zJ4f3ft4OWuiFAItHYMsD8y9z6YotbxpYdO+VEtLEdpL5PPrSPp4CEkfDzGKtCIl+uNj3zLh6ymiL7UKISJUBzj06T021y0tPQwUS/OaYi7Tsjj89cNOj04rirKEK7BO12nL6DptmVvbYEsUaqhjT8RqHqUeHfepU6fGWIpQTfcNwrUXgyQtYRCnQaaezPXvN6FJTC9WlrBmP/Er97inQZUAEaE6yKFP7ylTlgYMkWp5MY1SLS3gsO6/I4rtW5s+k3pJb3xtWJul68Or2LtoVJltcFWqt9uEn9weqVZmuk5bxt65Y43/egqWIlLTyLYsDAK1Fpma1nGEsiJTZwxMMsUgUU+XKUDm0SukbD1Js9fvx69BFJnHr3Jz8VYUfipCOjXBt459zzeuDgihuhFr0Sn8K09r0WnvKYvZ/u1DFo+BZZmaitQSXR9eBcDeReWbo+oozpZql2lLSpTtm/uA067vSRhkClSYVC2lei1hqY69qV9XLNpgSaamUalpKthWLInSPBq1tO+JKCODyI9PpTA9B4D0w5cA0OVqSDtwQQjVAiLl6yC2RqeO1gfbUr3mDHn7D4dkaopBrOVh/7wp7J83BUW2T7mvZS9dpi2xKNOyjlUVKjJCdaRP1JOm15jL1BRHU75l4ekyLUwvGiSpiggCQBFQ9Decd6Po0YsKPxUR/doAkH0+jpTtp9zQSs9ECNVBnJHCtYQqLAhVWFC5r2Oa/rVHps6motO4tsqyMovVvN/UXKCG467sXy0tMjUI05I4PVWmpmXWRv3agmkfaWnHS6vjbq7MX8+t1fvwqRUKgE+tMPQFheScjweg8Uuj8Q72Jz8+hfPvLOfmkq3kXE5wZ5M9BiFUOzHMMzVEnM4Sq7lIDfv2CNZ0oQYD5v2qrsawiINpX6voG3UNprK0Jk5XRqu29IWaite0nivmqpYHZ/eVQsn0ryHV++Nj33qsTA1kHL6EXOWNMkKNl5+KjGNX0WsK8W9cg8CY2ujyNFz88Hf0eQUUpuWQuOaAu5vsEQih2oFp2tYgUkdSuabYKkxDHWuLPViSqYHQRq7/by62xKCJVDs/+W2FjeJ1JOKsrFFqaeydO9a4uXsEsCU8RabmEjVEp6Z9qI5g3kdqOhDJk0Uq6fVos/JQ+CopTC1K+/rULIpSb284CkD0qK5Ieokrc9eRH5cKgDIiiFoP9HFLmz0NIVQ7OPTpPcatvCJ1hNLEu+6/I0qNRkMbyV0mVlOZGiJTR/pPRSRrP+YRqOl+RcjUPEq1JktPSvWaEvn8Oot9peWNWC2J05NlCnDj+82ce+NnVJFBqKKDyY9Lxb9JTfJuppB5/AqBresR1L4BV75YS/r+C0CRTJu9cT+qcLWbW+8ZCKFWAAYJm+NIX6nhnNJG+BowCNZUtuWVamnr8ppGpoaodP+8KUKUTsZaGteSTF2V8nU0fWvPlJnKjiG1WxlSvNqcfG5vOo6kl9DnFxLQvA4p206iblOfW7/tRhUZTIPpQ7k6fz2pu84AENCsFs3fedA4eEkgps24HGt9rHe+6PjzSh0dtOSswUm2LHZvr0TLqt/p+VUWyw98PMqu+0DVmjpTWj+qq0f7Wps2Y2kRB2t9qZ6A6QIP1XVt34wjl5EKteTHpVCQnEnU8E7IfZRIBVpyLt6i6f/uI375LlJ3nga5jLBeLak1rhfewf7ubrpHIYTqILakfV01EhiKhLzxfdsGHDljGoyt7J83hc5Pfkur6UUf7ie//PdD3SBNW/tUrUnUUh17xFoV5qea9o8axOmO/lJPH8lrC9bSu64YqOSpZJ28ZnxdY3R3kv46RMTAdiT+eZDGL40mbuk2UvecJbB1vaJBSocvETGwHcrQQDe22vMQKd9yUJowSztWnujUUfYuGmXcDPul1XWEVtOX0Wr6MnLl6hJlWWqlUbKm0eieHx8sEZ12en6VTTI1x5IUbRVlZZ5GY8AwEMnwuqI5MPe+SidTU6prdAoYBxiFdo8hPy4FbWYu2qw8Igd34PJna5D0EsGdmpJ/Mxm5r5IGTw0joElNN7fa8xARajkxHe3ryoi0PJgKsqwlBpVRIfR+aVuxsu3vlT2CzyBLW+qd/HKs0/tVOz2/igMfjypVoPvmPmCUpnm9yibT0qJRT1p6sDJRkQvkexoF/z+qN+dyApqEdAC06TkUpGYT1rsFiWsPUpiWjVzpRXjfVgS2qFvmNZOy0vnj+G4e6jIAlZfSlc33GESE6iQqWqZJhXm0nfErbWfYPiCkrNSvMirEYrm5YM2xVaaO1ncF5hHpvrkPVLq0rwFPnBpTmalOqV4D+vwCAKNMQ7o2Q67yJm7JNuKX7UIZHki9RwfSduFTpcq0UKfl6M2L6CU9/1uziJ/2/8P11Ntsv3C86D5S0TgOnV7P+cSbrn1TbkAItRKSVJhXbN9WqZqmfKFIoKZbRWJNqo6kesvCVJTm4qysqV7TuaYCQXlRt2sAgFzpRUj3GII6NCRqWCcaPjeCkG7NyLuejH/jGihU3qVeZ/flUzy7fB4/7NnAucQb+Ct9OHDtLB/9sxytTsdjSz7lyI0LXLwdx8urvyUhM7Ui3l6FIVK+HoZhoJHpoKM7X/yjhETNaTvjV459Ynv/VVlRp7s48PEol0vVfL8yClUgcCYNnxpGeL82pGw5gb5AS8bhyySuOWBcv1eu8kbmXbYuUnOyADibeB2AxhE1OXLjIjWDQtl24RhJWemsPrabY3GXaRZVmx/3bWTmnZW3390cIVQ3sPH9ETYPTGo741civX2J9PYtU6oCx6isqV6BwJmoW9ZF3bIuulwN6QcvkuWrJLB1PXxrhxPUoaFNI3o12qLUscqrKJKtHxbN4RsXqREUyqXkeAJ9fAn08SUtNwulwott548xo/+9eMkVLn1vFYUQqpuwJFXzaTCG47aK1NYo1ZnRaZfH1zr8W9Rq+jLCs7NKlPsDOWH/PizddEqMK6LXyo5I+wqcicJPRVjvloT1bmn3uTkFmqJr/L8gm0TWYsOZQ0QEBBGfnkJegQY/ZdEKag3Ca7D94glupN6mQXi0896AGxF9qG7EVKDmMjXsR3r7VmibbKXL42uLZAr4a/2Kbc7APyXFuBkQMhUIPJv03KIvyD7eRaN61T7+SJJEam4WEpCel42/qugzLVpdtE5wUnaaW9rqCoRQ3czG90dYXKDBntG75TnPlikx5nUMIrVEjleuXfe3hb6TFgqZCgSVAEMfqiGFq5ckZDIZ6bnZhPkHopck8gryi51jSA9XBYRQPRhX9Zluf6+PcTOkf20RK1iXaY5XrktkaglHlhsUCFxFu/+spt1/Vru7GR5F7ZAIAG6m3ybI15/0vGxiogzTbWQAnL51FYA6IZFuaKFrEEL1cFwh1fZPrTFuWTmZZOVkGl+bY4toDSK1lO51VgoYShepkKzAHZiK1PC6Ogs2yC8AAEnSE+6vZs/l08RE1Sk6KIPwgCDiM1II9g1g07kjdK4fQ5h/1XlSjRCqB+JoutcW2j+1ptTjWTmZxSJYW/HX+lkVqzWpWhqQZAnDAKW+kxba3B6BwNW0+89qjn40EsD4b3UVqYEmEbUAOJNwg/Z1mnA+6QZdGjQHYP72NfRt0paziddpHFGTEL9Anr1jtDub63SEUKsRZcnUtJ6tdaG4MG2NSG2VqSUMywwaENGpoCKp7tIsjf4x7fFTqth16SR9mrZFp9ez5fxRRrXtQVpuFjfSksjKz6VWcDiv3vUANYPDyr5oJUIItRJhPiXGnoUc7BFkec6xhr/Wj/DsLOPmCFu/f6SESIVMBbYw/bsxTP9uTLmvYy5Ta3KtrhGr2sefp/rejVav46+T+3io850cvHaOEL8AOtRpwv6r5wjxC0SjLaRFjXrubq7TEUKtRBhSwaYitUWyzhTjvgXDLJabD0hyVt/p1u8fAUQUKnAcZ4jUnNJEaS7T6tanOrhlZ94aPomjcZc4eesqU3sNZ8n+TfRt2ha5XEZCZioPdh7g7ma6BCHUSkJp0eixT+4zbs7GERnvWzCMfQuG4a/1M77et2CYUY7WMD1ueN130sISMhVyFdiKQaZfTl5ebN9RDLK0db+60qtxG74a9xy5BfksPbCJATEdWHFkO82i6jC0VVfjKOCqhhCqB1Ja1Gn62pbBS86MTg2YStKwmT5IvLR5qtYwl2nfSQuLSVUgsAfzFO/078a4TKpQfICSeURqrbyqUzskgi/ve5rn+4/hemoSN1JvU6jT8kj3we5umsuQSZIkubsRriYzM5OgoCAyMjJQqyvvEG17F8AH5wj1yBfD7apvEOq+BcOKvTZgKkjzqNUgUkOdsqJagcAce+RpqOcI5nI8+tFIi2WmdatzBJujycdPqUImk7mtDa52gVjLtxLhipRuWai0+XR94t8Pnb3z7ft2bypVA7ZI0lSqAoG9lCbSLycvNx43la+9mAvUNEo1xVSm1upUB/xVPu5ugssRKV+B1QhUpc0vUdb1ieXFBFsaliJVexFSFdiKaZr3y8nLi4nSdL88EjXn6EcjjRuUXOjB2sIPgqqJiFCrIUe+GF4sFdz+qTVGqdoqy65PLLcarVoSqLXRwaUholSBPZhK0lKEal7mLKmaYh61mkaj1Tk6rS4IoVZRek78ip0/TLV63CBVw7/tn1pjMSItDXul6giiD1VQFpbk6Ypo1BaszVM1jWIFVReR8q3C9Jz4FUe+GF4speufGU/PiV/Rc+JXQPHoVOPl3D4OR6NSgcBWypKptWOuwJnCvBB/lDxNttOuJ6gYhFCrKIbo1CDOI18Mxz8z3mJdg3gdwdYUsUDgCswFaU2YpnKtSKnaE5nmarKYs/Z5kjNv8eOW2ey7sAGdXotOr3VFUwUuQAi1imEafZpL1RyDYHPUNYGiQUjOjlIFgoqirD7UisLR9O7N5IskZdzg2u0zSEj4+6j5esP/OB93BL2kd0FLBc5GCLWKYS7R0vpRLWFvP6pA4G7MR/Rak2lF9qWC/SngAN9gAP459itNarQjJz+TuJRLLNs1hx82v+uCFgqcjRBqFcRSZFpWlNpz4lfFBhjtnT/G7jmngspH0uOPubsJ1Pvfo8atPJhPmzGlomXqCOHqmshkMgp1BYzu9iRHL28DIDqkHkM7TuJywkk3t1BQFmKUbxVl5w9Ti6V/S8O0b9UgUdE3WjWxJFBDWeSCryu6OSWo979HufbWN3af584Ub3lJzUqkUFdAVHAd/FRqujQZiFavJTnrFmGBNXio74ss3zWHtJzbBPmFM6LzFMICo93dbIEFRIRaRbFFpNYwyFREqVUXT5GnowI1xzzta63ME9lxejVf/f0KWl0hfsoAmtfpxLWkswCM7PIYSRlxXLh1jOTMePIKsgnyC0Ov17P//Aay8tLc3HqBKUKoVZDyyNQcU7kKqiaRC752q2DNU73lSf1WFomaMrDdeCLUtbmZchGFwotgv3AuJRyndlgTGka1ZPup3wFoXrsjU+58A7lMwY9bZ/PHgW+JT73i5tYLTBFCFQD/9rtaEmhpMhWirZy4M81rKTJ1RpRaWfFVBTCp36tsOfEbKZkJHL26g9M39tOiTicS0q5zIf4oLep05v5eM1B6+bD73J9cvHUMgIMX/+Gd5ZO5lXrVvW9CAIg+1CqHM6JTWyUpZFp5iVzwNUmPP2axT7UiJXvtrW+cMiCpsuOrCiAnP4N6kTFcTTpDgVbDzZSLXEk8ha8qgNhG/SjUFaApzGPn6T+M5yVlxDG4wwQigmq7sfUCAyJCFRixZyCSkGnlx1Kq11UytSRM87LKFKXGrT1I/LrDTr3m3V2foGWdLtQMbYiXwpuzNw8Sn3qFXE0Wy3Z+jk6n5ecdn5Cdn0G9iBge6P0CTw/7hA6N+uKlELGRJyCEKjCme8sahGQ4LmRaOTGNRk1fm0rUldNoDAI1FaezBiVVNLk3U7iyeBuFWXlOu2aNkPrsO/83mbkpNK3Znq7NBjO257MAaLR5zPnzefyUAYzp8TRNa3Xg0KXNLN76ntPuLyg/QqjVnLIWfhDyrLqYS9XZ0WlpUam5VK3V9xS0ORouLPibw//5geNv/IoyNABVhJr8hHSn3UMulzN96Ie0rNuViwnHad+gD2sOfEu7Br3p3WIUMmRk52eyfNccNh5dyu3MeJrX7ui0+wvKjxBqFcOelZHsXUVJUDmx1FdqkKf5MVdJ1ZJArUWmHhmxyqD2iM60/2ACLV++h9SDl9DlaijMzOXoK0tIO+q80bY6vZY7Wo1m26mV5BXkoPLyoUZIfXT6QiKCatGyble85N6kZSfSvHYnp91XUH6EUKsgO3+YWqosyzouqBqUJlJb6joLR6TqaehyNaSfvM6xV5awZ8IcAhpG4VszlDMfryEvLhX/+pHotTqn3KtJjbb0aD6MO1rfS68WI8jWZBLgG0xeQQ4HL/6D0kvFS/d+w309n8VH6e+UewqcgxBqFcYgTvNNUPUpS6RJjz9mUa6ulqqlMk+ePpN5No7zX/7FuTnrCOvSGIWfkugBbWj86J1oUrKImTEcucqbfY/M48DjX5Fz7bbT7h0VXJeaIQ2IqdURpZcKAIVcwZkbB7iWdJaWdbsaywWegRCqQFDFMR90ZJrudeUUGXM5WotUDQOTPEmmGWdvcvLtFRx7dSl58anEzBjOpW/+wVvtR6MpA4hbexCfyCBC2tZHl6vBK8CHgrQczny4uuyL20HD6Fa0b9ib6JD6NKvVgWa1YhnX+3nqhDd16n0EzkGMtRYIqiCGeaa21nUVhnmmpnj6dJmrP+/kxoo9AIR0aEjdMd04+fYK9IU62n/wEDnXbnN16U7azLqPvFtp6PIK6PDJJE6+vQLvYD+XtEkhV/BQ35dccm2B8xBCFQiqMa6OUsFypOppEjUloGEkAKGxjQhuU5fj//0ZSa+nzaz7QS9x9uM/8K8bjjqmFpnnix4sIUkSnRdMRdKJ55ZWZ0TKVyCowliTpTvX7vVkmQKowtXUubcbUf1acfmHrUg6PRE9mxPUsg43Vu0nLz6N6DvbAOBbMxSFnwrvAB9kCjlypYhRqjNCqAJBFaW0Eb1l1anOBDaKJrhVXc7NWQd6CYWPNw0m9CX7ciI3V+3HS+1L1B2tAPAO8KHb99NRhavd3GqBJyC+TgkE1RQh05LotToSNh7jyo/b0BdoAWg4uT8yGZz+cDWSVkd0v9bIvf/96JQpRFwiKEIIVSCoJgiBlk5+UgbHX/8VTVKGsaz+g70J79qUk28tR5OUgVzpRc0hHdzYSoEnI4QqEAgEgFzlRUjbeoR1bkLa0atIej3hXYpkaqD23V1QhQW6sZUCT0YIVSAQCABlkD9NHh8EQGiHhuQlpHH8f78Q1Lw2eq0Ov7rh1Lm7s5tbKfBkRPJfIBAIzJD0Eqfe/g25t4J643qSfuIaTR4fWKzvVCAwx61CrV+/PjKZrNj23nvFH0d0/PhxevXqhY+PD3Xq1OGDDz5wU2sFgqrPxce+5uJjX5d4XVlIePQh42a+byizhcKMHCRJoum0wfjWCKHroumom9VyVbMFVQS3f9168803efTRf1dOCQz8t38iMzOTgQMHMmDAABYsWMCJEyeYPHkywcHBPPaY657bKBAIKg/mooz+ZnGp5bagDAmg09x/P5fkXopytFBQXXC7UAMDA4mOjrZ4bMmSJRQUFPDdd9+hVCpp2bIlR48e5ZNPPhFCFQiciHkkarpveN34a8/6mzMVpqksDeXR3yy2KyoVeAb5Gdmo1P7IZDJ3N8Vu3N6H+t577xEWFkb79u358MMP0Wq1xmN79uyhd+/eKJVKY9mgQYM4d+4caWlpVq+p0WjIzMwstgkEAstcfOxrGn/9WAlhmu97SvrXPH1rGpGaytT0X4FnI0kSp1bvRKsp5NSqXegKCjm7bi/JF266u2l24dYI9emnn6ZDhw6Ehoaye/duXn75ZW7dusUnn3wCQEJCAg0aNCh2TlRUlPFYSEiIxevOnj2bWbNmubbxAkEVwLS/FP6VqOm+J0WotqR3TSNTIVTP5/bZ68gUcg4uXIcMGbkpGXiplNw6epGQelHotToubztKzfZN8Av17BWpnB6hvvTSSyUGGplvZ8+eBWDGjBn07duXNm3a8Pjjj/Pxxx/zxRdfoNFoytWGl19+mYyMDON248YNZ7w1gaBa4SkRqQFHZCpSvp6NJElseutHLmw4AEBuaiZZCakU5mqMD2xPOnONXZ//xqlVO93ZVJtweoT6/PPPM2nSpFLrNGzY0GJ5ly5d0Gq1XL16lWbNmhEdHU1iYmKxOoZ9a/2uACqVCpVKPHhXICgNU2GaRqLW6ngKpQ06EgKtZEgSmqxcFEpvAPQ6Pd6+KlIuxyFTyEm5GI+6djgA2vwCd7bUJpwu1IiICCIiIhw69+jRo8jlciIjix6f1K1bN1599VUKCwvx9i76gW/cuJFmzZpZTfcKBJWFfh+PYfPzy8uu6CIMEi0rlesJqV4DtqZwRaq3ciFJEgB5qZmo1H5c2nyEkHrRXN93ml49xgLgG+L5K1S5bVDSnj17+Oyzzzh27BiXL19myZIlPPfcczz44INGWY4fPx6lUskjjzzCqVOn+PXXX/n888+ZMWOGu5otEDiFfh+PMf5reG1a7mqszTE1j1o9CUsjeU2PmZeJaNWziTt0nmt7TqFQeqEKLHow++3zN/ALVXN561HUNcO4fe4GygBf5F4KwhrVdHOLy8Ztg5JUKhW//PILb7zxBhqNhgYNGvDcc88Vk2VQUBAbNmxg2rRpxMbGEh4ezmuvvSamzAgqNebS3Pz88hJSdUXkai5Q0zSvtdSup0kVikRpa3pXRKq2UXD1BN51WqC9fQ25TwBy/yC0yTfxrtEIAElbgMxLiT4/B5m3DzJF+eflXtpyGKW/L+paEXj5KAmsEUbWrRTk3gr0Wh0ZcclIOh1Zt1JQBfpRq0PTct/T1bhNqB06dGDv3r1l1mvTpg07duyogBYJBBWPuUxdifmIXU/sH7UFc0may1VI1DYkbSGac3tQhNQgddELBN41ldyD6/Bp1hWpUEPu/j8IeeBNvKIakPzlYwT0GY/m0mFUjWPx73Fvue+fcike//BgarZrzMV/DtHz2Xv5+78LSb+WiF94EDcPnEVdK4Lre0/TdFCnSrG4htvnoQoE1QlTeVqTqTv7VQ14YmRaFpZEK7CO5vw+0pe9S/7potGzMm8VupSbeNdrSWHCRQC8ajRGc34/UkEeMqUPhTfPoMtIcsr9Q+pFkRF3m2aDu5CTnE7KpXh6zRjDzQPnUNcII+1qAkgSFzcdotngLk65p6sRQhUIPAhXy9SwgIOl6LSySTT6m8VCouVAl5YIMhlyv6K5nTKlL0gS3tGN0GenoQivgyIwlMKESwAowmsjFeSjy0ot330LtayY/D5ePipykzPIz8yh25OjOPjdOnSaQtqM7UtWQir+4UFkJ6XRfFj3SjEgCYRQBQK3YBqdbn5+uVGk5oOUXEFpqd7KJlUDsia3ja8TP7jLjS2pPHjXaQ78v0hlcuSBoeCtQu6nRpeRjKphOwAKrh4HbxUKddH0FX1Oernuq/D2wstHSdzh8zQZ2JFdn68gtEEN+r36EEeW/kNeejaqQD9qd4rhjlcepOWonuW6X0UihCoQVDDmMoWSqWBXYmmZQfDMOadlYZBn1Mz1JH5wl5CpHXjXbobMV42k0+IV3RApLwtFUCSFcedBV4iqSScKrh5Hl3wTVcN26DJTik7Uln8+aNv7+5GfkUN+Zi4NerXlz//M5+jP/1C7YwwpF+MoyM7jwsaDBNeNKve9KhK3L44vEFQXTKfKQMUOSLKGQayVMTIV8iwfMrkCZZ0YpIJ8vGs0Rpt8E0VQBIW3LiJXh6NsFEvqjy8B4NvhLnQpcQAogssvuQa926LX6tg7fzW5KZn0ePoeEk5e4cq2o+gKtegKtDS9qzP+4UHlvldFIiJUgcANeMKApMoqUVtE6mmylbQ6cs543kLvMt+ivklFWC20KTfxrtWUwptn8e96N5oL+ym8egJFWC1UTbtQGHcOKBqo5Awa9evAyLnPElo/ml1zVpJ8IY7oNo3wUimp36sNnR4Z4pT7VCQiQhUIKhhLKV9B2ZhKMvGDu4qleaNmrndjy0qSf/02kl7i1o9bqTVlAMl/HSFt8wmafvowykjPibq8QmsiFWrwjqpP3oG1+I97nfSfZxEw4GFSv30OgMA7H0GfnUr+qe0AKOu1dtr9AyJD6P7UPXSZOpyUy7fQ5mno8NBAgmo7ttqeuxFCFQgqAEurIQmZlo1pH6mpNE1Fahq1GvYrgrQdZ/CpFYpXiD/x320GwD+mFvk3kgkb1J7rn66hMCWL3PO3SNt2ChRyZArPSgp612xC/pnd6FR+KBu0pfDWRXzaDSB78w/os9PwjR2MT/PupC+fjVSQjyKiLt61Y5zeDoXSm8iYuk6/bkUjhCoQVDCWBiKZlgv+xdJgI3OxViT6Ai3x320iuFcLMg9eJP67a0SP60nkPV3JPHCBpFX70edpCL2zLWGD2pGwdAdx32wEoObD/fAO86zpH941m5Cz53cKb55BPfwZMlZ+SOCASeRsXYKyYXvUQ6eRs3cV+Se3gUyGeug0ZHLP+lLgScgkw6rEVZjMzEyCgoLIyMhArfbs5+kJqh62DjwSQi1OWbI0yNYgWNOI1bSOM9HnFxL/41byLici9/GmICEdr0BfVHXC8KkdRmFqNmlbTiL3U4JeIrh3S7JPXKPgVho+dcOpO2M4ygjPSfkCZKyZgyIwDM2lwyjrNCfv2Ca8IuoSNGoGOXtXk7v3d2TePgQOnIJfp6Hubm65cLULRIQqEHgA1UGmTZ95kPOf/2TXOZaEaKnP1Fy+rkr9Xn1vJYpAX2pN7odf038Xa9cXaLm9aj9pW07i37IOYXe15/rHfxB5Txc0N5KRySD/Rgrxi7ZQf+Yop7erPPj3HEvqd/9Bn5mM9tZFpEINsppNSf7yMWR+avy63YN/j3tRBIgnfJWFiFAFggrA3Y9qq0iaPvMggFGehn1T7BUrFO9PNexbeu1Ksk9e5+ZXG9CmZqMI8EHmpcAryA/fBlGk7zyDb5No6r8wivhFm8k6do3m8x/j3NMLkSm9UNUoElK950e4vJ32UphwmYKrx5EKi+aYKoIj8K7ZFK+wWm5umXMREapAUAVwVKZbD16ldpSaxnVCndwi52IuUUOZI+I0UFqEaT7it6Lwb1mHmg/3I/67TehzCwgb3IHwwe3RJKSTeyGeus8OJ/PQJdJ3nMG3URT5cakUpmSBQk7YwLaE9GlZYW21B+/ohnhHN3R3Myo9ondZIPAgrsSlsWbbebJyNAC8v2gX//lkA4VaXYW35faKJ2yqZxqBGiRqKlJHpWo+stdQZmn6TEUhabQkrzlIUOcmNPl4EhEjO5G6+QTXPlxFnWeGkXcpgbivigYh+dSLJOfENWTeCmo9OoDEZbvRZuZWWFsFFY8QqkDgQXyz8jAffL+Ld779/0cWSpCSnseRswluac/tFU8YN1sxjVYtRa72YD7AyNqAo4qSqkypIKRvS3waRJKx+yyXX/uF5D8PU/+leyhMyeTG538i/f+Xn8C29ZGpvJEKdchV3sh9lST9vr9C2ilwDyLlKxB4EEEBPgDsOnqDzfuvEBbiS3ZeAVsPXqVzq4rrz7IkUNOyiHvnG19b6istrR/VEbl6ysIN+deTifv2H9AXDT3xCgmg7tNDSPptL5kHLhA9rhcJv+xErvQioE09JJ2epBW7KUhIp8b4XujdkGkQVBxiUJJA4EFciUvj4ddWo9NLNKkbSmyLmvyy/iRBASpWfXY/Xm5aGMAg04h75xd7XRbWBiQ52r/qCasiFablcOm/S0Amp8F/7yXnzE3iv/0HuY+SOs8M5dr7vxPUI4Y6TxZF0/k3U1BGBiFXivjF3YhBSQJBNeDP7edZ9MdRpt3Xmbv7xbDinzNcuJ7K4B5F66ZmZGs4eCqerm1qV1ibykrz3l7xBD12ZBn3zaNR835UQ7klydqKu2UKIFd5oe7clPChHVCGq9Gm5wAQPqQDvg0iUXdsRMTIzsb6PrXD3NVUQQUjhCoQeABrd1wgMSWH1+ZtYfLIdgQFqMjI1nD+eipN64Vx/loKf+++5FKhmgvUEIGWJtbSRGmpL7UqoPBTUXNiX+O+f0wtms15xLgKUt3nhrupZQJ3IwYlCQQeQK3If5ekW/HPGZ4Y0xGAzfuvMGFYG2Qy2HX0Orn5hRbPf+2XscbNUQwCjbh3fgmZWkvvmveNmkel5Zk2U5nwtCUFBe5BRKgCgQcw5e4O7D1+k4xsDZk5Glo1iaRXh7rsOHydpNQchvVuyppt59my/wpDezctcf6b9y8rl0yhSJ6m4ixNpoa+VEvCtLVMIKhqiAhVIPAAosMD+OQ/gwj0VwJw4kISL0zsQUSIH6u2nOOx0bGEBvny1+6LxnPKK1BzzGVqSa6m9WwZlCQQVCeEUAUCD2Dnkev8d+5m+nVqgI/Siz+3nydE7cPsp/uTmJrN1oNXeXlyT05eTOJW8r8DgaxJ1VHZ2jvnVCAQ/IsQqkDgAeTkFXLrdjZ/bDvHXT0ac/FGGlsPXqVZ/XBendKLb347TOM6oYzsG0NWTkExYRpev3n/smLXtFeq5lFoWXNRBQJBcYRQBQIPoH1MNDIZSBIcOXeLlx/pyZyl+0hMyeaOTg0Y3LMxMz/bSFJqDhEh/lblaVpuXqc0rC3aIPiXv06c4HR8PADZGg37Ll8mMy/Pza0SeBJCqAKBBxAZ6k/3tnUAuBafwc2kTCaPas//5m4hT1PIY6NjyczRsO/ETWM/q0GYb96/zDgoybCZ75eGrVFndRbtrosXmbToO3ZfugTAEz8tZtgXc1h7/DgAP+zexaWkJHc2UeABCKEKBB7CzEk9qF8zGIDvVx8lKsyfx8d0ZP6ygyi9FdzRqQEhat8SqyWZRqcGyZpKtLRI1d65p9VRqtkaDdOW/ITa15d7Y2P5Yfcu1p88SZRazaj27Zm9bh3/Wb6c07duubupAjcjhCoQeAihQb7Me2UI/To3QKeTeGXOZpLTc1HIZbz33U78VF40rG35Ic+mkaipWMuaTmMqyOooS1tYsHULcenpPN6nD/Hp6bz+xx8AvD/6XlYdOcInGzcA0KJmzdIuI6gGiHmoAoEHEeivYtYTfUl/MJ9dR67zz77L3LqdzdX4dHyUXnz8/MBSzzeXp60Dk8QUGctodTq+27mTyEA1E7v3YPDnn5Gj0fCfgYNoUbMmfT54H4CBLVrSKCLCza0VuBuxOL5A4OFIkkRufiE6nYQ6QGWxjiVx2pv+NWA+B7U6s+viRUbN/ZKXBg/mdlY2C3fuYEDzFix+5BHu//ortp0/T/u6dVn71NMovUR84umIxfEFAhdz4/0hANR5cZ2bW2IZmUyGv6+y1DqWRGltOo3AdjacOoWvtzf3dIilzwfv4+PtzSdjx7Ly8GG2nT+P2seHbydORKfXu7upAg9ACFVQbTGIFP6VqafL1VYszVM1UJZgRXT6L6dvxTOgRQv+PnWSvMJCxnfpQoi/P2/9uRaAN0aM5EZqKr3ef59tL8ykfni4m1sscCdCqIJqialMLZXdeH9IpZOqpUFJluoYptUIyuZWegYj+rTj5/37AXisdx9+3r+PhIwMOtarR9eGDRk653NyCwrIEHNSqz1CqIJqh7lMLYmzssnUlLIGIgmZ2o7a15faISEcu3Gd6KAgWtSowaM/fA/A84MGMW3pEtJyc6kRFESTqCj3NlbgdoRQBdUa81SvoawyRqilTZEREnUMlZcXB69epUCnI7ZePS4mJXEhKYlR7duTkZvHkevXkclkfDRmLH7K0vu5BVUfIVRBtceSTCsrplIVEi0/DSPCuXT7NgCNIyPZc+kSNYODmX3PaO6dPw+AezvEcjEpiYEtW7qzqQIPQAhVUG0xj0Aru0wNCJE6j26NGvHW2rU0jIggv6CQqynJvDZsOEmZmZyKj6duaCgj2rVj3Ynj7m6qwAMQKyUJqhXmo3hN96uCTAXOZUjrNkiSRMd69dl89gzXU1NpVasWG06fQi6TMfeBBzmXkEDnBg3d3VSBByCEKqi2VJUpMgLX4adUMmvESE7G3SQsIICTcXFEqdWsPXacmXcNpllUFN/t2kmHunXd3VSBByCEKqh2mArU0qAkQ7mIWAUAd3fowOSePbmWksKtjAxOxsXRrk4dHuzalXHffE18ejqNIyPd3UyBByCEKqg2mI7cNZ9zasCaYAXVm4nde/DdpIcJ9vNj1po/eKhbN4bN+ZxD167RKCKiSi07qM/LRZecRObS70h5/zW08TeRCguKjuXmkPnzIvTZWW5upWdSdX4LBIJSsCZQ8z5UIVKBNTrWr8/qadOZ+N1CRs+fR0ZeHl5yOW+OHOXupjmVgtPH0Zw9iT4zA+31K+Tu2IQ+JwuZUoVMqSJv52a8omvid8cgdzfV4xBCFVQrLAnTEJWKvlRBWdQPD+f3adOZv3Ur+YUFjO/SleY1ari7WU5Fn5UJOl3RjlyOPFBN/oHdeDdoDPKipKYiWjyqzhJCqIJqgZClwFmE+vvz6tCh7m6G09HG38CrZh30+XkgKxKnd90GyLy8QKH4t6KXF8pGTd3USs9G9KEKBAKBgIIrF9Hn5SLl5iL380PKy0MREUXh9StF6V5fP2QKL7yiaiJTWn6MYHVHRKgCgcAl9JjyEwC7vn2w2GuBZyLl5qK9dRMpLxeZjw9SXi7ywIbobieiCAlFERIKVf/x2eVCRKgCgRntP/yw2L8C+zEI1N5jAnciIfNWIul1SFotMl8/kPTI1Wpkfv4oQsJAoUAeEOjuhnosIkIVCP4fU4EKmTqOqTBNo1OBZyMPDEKfmYE8IBBdWgredeujS76NsmVbtIf2oggLR5echKTJd3dTPRYRoQqqLH0mfGdzXSFQ1yDkWnnwqlGLgvOnUUREoUuIx7tJDAXnTuFdvyHam9eQq4PRJt5C0mjc3VSPRQhVUOkoTZR9JnxX7LgtUrUm0yMvvGB/46o55gIVVB68atej4MwJVK3aoUu5jSI0AnloGHk7NqNsEkP+kQNo428gaQuNCz0IiiOEKvB4TCVp6V9zaW77cbJd0SlYlqeIWsuHkGvlQqZQoGoTS+ZP3+LXbzBZyxejvm8ieft34t04hrxtG5EHhVB44yqF16+6u7keiRCqoNJQliTtlSgUSdOSTEV0Wj4sCdR8pK9I/3oe/neNRHc7ESQJ7/oNyduznaCHp5GzYQ2qNh3QXruMlJ0lRvtaQQhVUG2xNgjpyAsviOi0nJQVnQqZeiYyLy98e/UjZ/1qvKJroYiIIm/rBvz7D6bg8oX/XzkpCO+69d3dVI9EjPIVVCrsTedu+3FyqcdN5WkelYoo1TEszTsVc1IrD/4DhiL3DyR3y9/IVCoUkTXI3bkZSZOPTKlCPeExsbCDFYRQBR6PNYk6kuI1xZpMRXTqGOZRpyWZVhSSXocuJw2vwHAKUm+iDK2N5tZ5lNFNkMlkFdaOyopvt974duuNpNWiz0hH0gxG0unwioxCpvJxd/M8FiFUQaWiz4TvignWkmxNj1mjLJF6SnSanq3BT+WF0ltRdmUPpiLkKum0aBIv4lMzhtyLe8m/cYKw/o+TeWAlAa0Hkn16CwF6LT61Wjj93lUVmZcXirBwdzej0iD6UAWVAlM5GqRqeG2pXlmpXvhXmu0//NCjZJqSWTRxXqvTc9/bf/Puz4fc2h57MKR0TQVaUZGqNiORlI3zinZkCjQJFwCQJImCxIvIvVRobp1zyb0FAhARqqASYSpRU5GaRqmmsrUFTxKpgQkf/EOz2iE8e08b0rI1rNt/jWfvaUtwQOXqt6pImQIgl6PLSaUwLR4vdQTajES0Wcl4BYRRkHQZL3UkhSk3XHd/QbVHCFVQ6bAkTHskasDaYCR3ExHky/YT8aRna6gfrebyrUxuJudUKqEaZFqRc1G91FHIvH3IjztDQMs7kHmpyL95Cu/Q2uTfOIGqZnPy48+4tA2C6o0QqqDaYprytVRe0bz83V5eGNOOMb0bc/Lqfk5eTWFQx7pcvpVJnYgAt7TJFtKy8nlq7jYkig9MqujBSDK5HJ+6bci9vJ/AVv3xDq9LftxpgjrdTer2RSgCQpEKxbJ5AtchhCqotniKSAGS0vNITM3l2Xk7+XbGHSxcf5rrSdn4qryICvElyF/ptrYB5BdoSc8pIDrEz7ifk68lTO3D+oPXSUjN5Z8v7+PO6b8C7psS49+4G8kb5qDNSEIV3ZScs9sIu+NRFH7BSAV56LVCqALXIYQqqHa4OtUrSRL67BQUgbaNjjx7I41JH26iQ5MI9p9N4ddtF3nkrha8/uN+gvyUKL3cP8L3+w1nWLzxLJ880YsuMdF8+9dpVmy/wK//Hcyl+AzqR6nx8/F2+9xS34axeAVFkX16M4Gt+pN1fD25l/fj17gredeOovANcmv7BFUbMcpXUO048sILLo1GtQnnyD+wzOb6B84lodVJ+CqLvt9+v+EsvVrXoFa4PxKg10todXoXtdYyN5OzmfP7MW6n5wGg8lZQoNXz2vf7yMotoEaoHzn5WvadSSAxLZeYOiEkpOXy5erj6PQV21ZTZDI5wd3GkXn0TwpSbxLYZhBZJzYS0OIO8q4exjukJrr8LLe1T1C1EUIVCJyI5sJOCq8eQKbyt/mcQF9vAPILdDSpFURGTgF/7LnKuL5N2HIsjq7Nozh7Pc1VTbbIH7svs/ifszz43t+cvZ7KmN6NqRsZQGpWPluO3WRol/qEBqr4becljl66TbcW0bz9035+2HCGtCz3plX9GsQS2vthUrd8i3/TnqDTorl1jsA2gwCJgsTLbm2foOoihCoQlBN9XibZm+YiSRLauFPkH16FV1QTJJ2WnK1fIZWxkHiv1jVRecs5eimZB/s3A2DN3iuM6tGAzJwCQgN9OB+XURFvxcjoXo1p0zCM1CwNkz/exM9bLjBnWh8Cfb35c99VfJRejOnThNPXUtEU6qgTGcjhi7cBWLr5fIW21RIBLfsRescUUv6ZR0jPh8g+vRWfum1BAm12srubJ6iiCKEKBOVEpvJHe/M4Bee24tNuOMgVyAPC0WcloTm1gfxDv5V6fpjah8eGtkRTqEMmg6a1g7kUn0lCai739W3MnjMJhAZW7JSZqBA/vnq2H48Pa4XSS87Xf57kwfc2kJVXyOELt9l2PI6xfZoQ5K8kXO1LUnouhdqiVO/+cwkV2lZLFKbfIu/SfoK7F6V/fRu0J/v0VnwbdqQg4SKS5L60tKDqIoQqEJQDSa+j4NJelM16k7vrR2Q+gaia9UWbchVdZiIABVcOlHkdrU6iTYMwVmy/xOsPdkLlLWfj4ZuM7tmIC3HpZOY694HO+gItp/+3nMzTcRaPf7f+NAWFOkZ2b8iqWcOYfFeLYoOj3l16gOuJWfRqXZMW9UI5crEo6qsV7s9Hj/V0alsdwUsdhTYjidt/fYYyvB7ewTWRyWXkXtyHLi8DfZ7oRxU4HzHKVyAoD5JE/pHV6G5fAiBv92J8u44na937yGQyZEo//Ps+jj4vE7mv2uplVu64REzdEE5fSyUtW8ObE7vw1dpTPDqkBd1b1iAy2K/8TdXpufrNZiIHtcGvXjj58WnErzyAukWtEnW/W38amQzCAn24mZzNkyPa8OiQluw7k8DKnZdQ+yt5Ys4W8gt0hAb6sO9sAi3qhfKfMe35cvVxVN4K/vdg53K32VFkcjkRQ58n+e8vyDiwElXNGEJ6PIikLSBl0wKg4p/nqSksICMvh0h1SIXfW1AxiAhVICgHMoUX6ntn49N+JMjkaM5sRpt0Ce/ardEmnMOv12Q0ZzaTf/SPUq8zqkdDtp+I55HBLZi/5iTdW0TTumEY52+m07RWMI1rWpdxWWSejiPut/0gk5F17hapey8ik8tRt6xN9tl48uJSS5zz5qSu/L7zEne0q03HplG88eM+CrV6OjWL4uyNNO7qVI8PTSLR2Y90Z2yfxjwzdzt/H7xOrXD3L0QhV/kTMfxFIoa9iDKqMZmH/yDr5EbUHUeh8Auu8PbM3bKSNcd3kaPJJys/t8LvL3A9LhPqO++8Q/fu3fHz8yM4ONhinevXrzN06FD8/PyIjIzkhRdeQKvVFquzdetWOnTogEqlonHjxnz//feuarJA4DBydST+dzyBV41m5GyZhz4nBQDvBp0puLiT/BPrKSxl2bsJdzajSa1gNhy6wSvjYvloxVHu7tGQ+WtPEhygJDzI1+42aW5ncvSJ78i9lkzK9rOARHjvGNL2XULSS4R0bgRA8taS7erXrjbPjm7Paz/spX3jcKJD/Xhm3nYuxKWTk1/Iu0sPsu14UbrY20vOd+tP88aP+8nKKwRg75kE0rPdv4iCTCbDt25rQrrdT/igpwm/cxoBMb0rvB07Lxznr5N7aV+3KdOXfsz3u9bxxaYVFOqKPu8uJt0kIy+7wtslcC4uS/kWFBQwZswYunXrxsKFC0sc1+l0DB06lOjoaHbv3s2tW7eYMGEC3t7evPvuuwBcuXKFoUOH8vjjj7NkyRI2bdrElClTqFGjBoMGDXJV0wUC+5D0FFzahy7pIn69JiNpC8ndtQgAfXYyUl4mXrVbIy8lKlJ5K/jk8R7MmL+TFTsuodPpef3H/aRl5TOubxOHmpV7LRltVj4yhQxFgA+pey8S3rs58SsPknX6Juq2dZEp5KTsPk/t8d1LPCe0X7va+Km8eOj9jdy8nY2mUMe8NSf46tl+/L7rEr/vLEpz1wj148kRbbiSkImPtwIflRe3UnJQyMVzR6Eo1fv5pmX4KX24mHiTm2m36RcTy+qjO7irVRfOJ95gzqYVzL5nKh3qNXN3cwXlwGUR6qxZs3juuedo3bq1xeMbNmzg9OnT/PTTT7Rr147Bgwfz1ltvMXfuXAoKigZgLFiwgAYNGvDxxx/TvHlzpk+fzr333sunn37qqmYLBHYjU3gTMOBp5MG1yNn0JfqMW6jveQeZbzDZa99FpvQjoP9T5Gz/ptTrRIf4seTlOxnSuS4xdUKYPKg5f7w5lM4xUQ61S64q+r6cffYWUQNbk/DnUZRhAfg3jCR5+1m8A30JaFYDbUYemkTL03K6No/mm+f6cVeneshksP9sIskZebx0f0emjWiDQi5DIZfzyne7mf3zQby85PRrV5sH+jcj0M+9yyV6CoeunSM9N5uWNRtw4GpRNiC2XjPyCwvILchn4Y61NI2qQ6PIWhSYZegElQu39aHu2bOH1q1bExX174fFoEGDyMzM5NSpU8Y6AwYMKHbeoEGD2LNnT6nX1mg0ZGZmFtsEAldScHE3uqSi52/mH/0DbeJ51KPfAYUXyiY90aZcA0lCl1H6lBKZTEb7xhHcf0cThnapR8D/L/rgCL61QgHIOH6doPb1KUjKJO3QlaK07/5LFKbnom5dB8CqUAEC/ZT894FOvDyuI14KOZ//foybydkcOJ/IU6Pa8uVTffhoak++f2EAA2PrOtzeqkpCZlH6v3mNesSnJ+MlVxDqr0ajLeTMrWvkFOTxdP97+X7XOvLF4v2VGrcJNSEhoZhMAeN+QkJCqXUyMzPJy8uzeu3Zs2cTFBRk3OrUqePk1gsExfFpO5TAEa/jXT8W5F7kbvuW/KN/oGrWF11GAnl7l6K9eZzsde9VWJuUoQGoItXo8wvJOnWT8L7NufnzHkK7NcFL7UvyjrMEt68PgCax7C+dd/doxLyn+9KsTggL1pxg3B1NeaB/M7wUclrWC6Nl/TAXv6PKSd7/Z9xUXkokJJpE1SYjLweAK8m3aFunCT7eSi4m3UTta/sKWwLPwy6hvvTSS0VTAUrZzp4966q22szLL79MRkaGcbtxQzxUWFARSEiaHPx6P4L/gOnos5PJO7gc7c3j6HNS8O32EL5dH0CXHl9hLQrt0RSAxA3HqTEyFm1mLim7z1NzZEdSdpzFp1YI/o2j0CTZlsVp3ziCtyZ15e2Hu9GtRQ1XNr3KUCOo6ItGbkE+3govQv3UpOVm4eOtpFCnpUF4DQ5cPUPDiJLTlwSVC7sGJT3//PNMmjSp1DoNGza06VrR0dHs37+/WFliYqLxmOFfQ5lpHbVaja+v9VGPKpUKlaryPIxZUDVQhNdHpvQjd+vXqJr3w6/nZGQKbzJXvopvt4eQKf3I2fgp/nc8gSK4ZoW0KbxPc26tPkTOhUSyzsQRPbQ9ccv20XL2WBL+OkbmyZuE94ohceMJRB7HNXRt1BIfLyWXk+NpEF4TrU5LgbYQb4UX4QFByGQyMvNyUfuUf66xwL3YJdSIiAgiIiKccuNu3brxzjvvkJSURGRkJAAbN25ErVbTokULY51169YVO2/jxo1069bNKW0QCJyJ3DeIwGGvUnBxNzlbF6A5swkU3qArJG/vEvRZt0HSk3f4dxQhdVCE1nZ5m1ThgYT3iiF52xmuLdpOi7fHkLrvInErDtDg8f7c/Hk3Tf4zlPhVB8k+f4uApiLqdDZ/Ht9NzyZt2HXxBA/3GMLa47uJUoeSlZ9LkG8Ap+Iv06l+c7R6nbubKignLutDvX79OkePHuX69evodDqOHj3K0aNHyc4umms1cOBAWrRowUMPPcSxY8f4+++/+e9//8u0adOM0eXjjz/O5cuXmTlzJmfPnmXevHksW7aM5557zlXNFgjKjT4nFe8GnfHr+TCBQ18mYMhLIFeATI5v5/sA0CZfqbD21B7XDWV4INrMPK7/uIOGTwwg/dAVtFl5+NUNJ+PEDWrd25nEv49XWJuqE38e38Pwtj1RyOXkFmpQyOWk52bRMLwm11MTOXHzMsF+gYT4Ob54h8AzcJlQX3vtNdq3b8/rr79OdnY27du3p3379hw8eBAAhULB2rVrUSgUdOvWjQcffJAJEybw5ptvGq/RoEED/vzzTzZu3Ejbtm35+OOP+fbbb8UcVIFH49N2GAH9p+PTdhgFl/aSs2U++owE0GuRB9ciaMwHqJr2qrD2eAX40PjZu5ArvUg/eIWkf07ScPqdXP9+O5EDW5Ow5jAhXRqTey2Z/ISKfapNdSAzP4cCbSEvD3mIZQc2M7Zjf+ZsWsGQNt3Yf+U00UFhnIi7TJAYkFTpkUllPVuqCpCZmUlQUBAZGRmo1eJboKDiyFrzNlJhHl61WuNdszleNVsiU7hnCe30w1e59MXfSIU6Iu5shX/9CNKPXiMktgF5N1PR5WrQF+poMLW/W9pXVXlj9ULS8rL5aMw0/jl9kKX7N9I/JpbtF47Svk5Tdl48To4mjy/GPUeDiIrpW6+uuNoFQqgCQTUi53ISV7/ZTN6NVII7NiAwpiY5l5NI238JZDIUPt60mz/Z3c2sUpyOv8pzv86hZc0GvDj4ARIyUvjo758J8PFDq9PRJKo2288f5depb+Kvsn+JSYHtuNoFYnF8gaAa4d8wkhZvj6X+1H4UpGQTv/IA3mo/FD5KpEIdPjXFk1CcTYua9Xlr1BRupCXy8KJ3WX9yH4/2HkGXBi2IVIdw4uYlCnU6vOSKsi8m8GhEhCoQVGPyE9LJOh2H5nYWMi854X2aowoPdHezqiR5BRq2XzjKzgvH2X/lNHpJIkodglanJyUng7VPfYDKWyzX6EpEytcJCKEKBAJP4nZWOjsvHCO3QIOfUkWLmg1oFi2WbXQ1rnaBeMC4QCAQVDARgcHc3aGPu5shcDKiD1UgEAgEAicghCoQCAQCgRMQQhUIBBWGXq9n+dHf3d0MgcAlCKEKBIIK43LKFf45t4VCXaG7myIQOB0hVIFA4FISs5KYtX42N9PjOBJ3HJ2k40ziORbtW+zupgkETkUIVSBwAlfiM8jMKXB3MzySP0/9TbYmGx9vH7Ze2EGzyKacTjjLniv73N00gcCpCKEKBE5g18l4np+7nUc/+IektFwA8gu0bm6VZ3A19Ro9GnRl3am/ydfm06VeR1JyUpH9X3t3Hh5Vfe9x/D0zmZnsmez7RlaCJGwSoywqYetzqYp4kaICt4oLRStatd6rWG0VoYJLca1XbfWC0hYtWlQIm0AIEMISQkISQgJkIyH7QjKZ3/0jOrepVG/NhBOY7+t55nky55wMn/N9TvjOOXPm99PpKao9jk3ZtI4ohENIQxXCAUYlBnHkRB1HTtSx/qsSWtq7mPrQeppaz/Pq+kNYe5yraRRUF7Kv4gA9th5qW88yIiKNPeX78DJ7khEzlrOtdXi5erL6q7c4UnlU67hCOIQ0VCEcICXGn2uG984UkltUi5e7iWA/d5b+dzYbc07S3mnltY8P09XtHJNI99h62FbyFV09XejQodfpOG89z7XxvdPWVbfUYHH1oa2rjRP1J7UNK4SDSEMVop9stt7ROx+YNRKz0cDRsnpaO7oYnRTMvsIaXlw8EXdXF9ZmFVF8upF1W49rnHjgDQ1Ooqq5mqaOZgI8/KloOA3A6MiRlJw9QXdPN96uvWMG17fVaxlVCIeRhipEP+wvrGHmf22gsq6VqGAvfjYzjR6b4mDxWa6I9WdUYhBx4RYqalqw9thY/NJWNu2voLKulT9tK9Y6/oBxMbgwKWEihyvz8XW30NDegLvRjXBLGAU1hQCE+/Se0RsNRr4szOIvhz7RMrIQ/SYNVYh+GBbrz4iEQOY9+wUfbjnOqMQgjC56dhw6Q1p8AL5ernR2WXnv8wK83E3cd2MaN0+M57Zff05OQbXW8QfUdQkTyT11kBDvYDxMHgR6BaLX6Sk+W0JcQCxWW+/lb4ubD7tOZPNFYRZdVrlTWly6ZHB8Ifph8YtbyS/rvWT50ro8gnzd6Lba+HR3GXsKqqhv6mR/UQ3T02NYs3Q6/7O5iBc+PIZSUFbVxJ6jVVw1LFTjvRgY7iY3pg+dTGHtcTzMHhh0enpsPZSfO8Wc0bdw4NRBoPdMdVPRFqw2K21d7ZhcZAozcWmShipEPzw6dwz7C2sJD/QkOtiLL/aWU3CyntNnWzl9thWAtx+dzLnmTu55YQunalpIiPDF291IQ+t5vD0u7+YxIiKVM02VVDZVEegZSF1bPV09XSQGxvPXI59hNBjxc/elo7sTd6MbPm4yveKlrKq+jdf+epgnbh+L0cX5JkyXS75C9ENChC9zMpOoqmvlwd9t552NR/nNwmuweJq5a8YVANz/0jZWfnSAyWOiWPCjFLw9TJw+28ojc8aQEuOv8R4MvOkpU3DRu2DQGzh5rsK+vKGjkXFDMiipOwHA1bFXodfJf0mXqtLKJha+kIXZaCCv+Cx3/XYzh0vrKDnTyM1PfsqB47XsPFKpdcwBJUevEA6g1+t4/LaxeLub6LbaOFZ+jhHxgQyN9uP6URGcbWxn77Fq3v+ykP2FNcSFWxgWe/k3UwC9Ts+MK6aTEBhH7qk8APKrCnB1cWXa0Ml8WZjF2KgxzBpxo7ZBxQ9WXtPMohe3EOjjxt0zhvPUe3s4VFpHTWM7P1+9HbPJwJotRezKr+T4qQbue3EL5TXNWsd2OLnkK4QD3HJdIgDv/edUPN2MDI32I6/4LCajHl8vV36SmUxnl5UfXRVDRU0Lft6uuBic6/3shLhriLCEc6TyKOUNp5icfD1fFmaRGBTPnVfNR693rnpcLmw2xdN/yKGt08oTd4zljQ1HqGvqJDHCwmfZZdQ2dHDD1XG89Vk+L/1sIs/8cS8eri54uBq1ju5wcgQL4UAhfh64GPT8/tHJ3PlvV5AWF8iL6/I4UdlEbUMHyz7Yz+d7yxmXGq51VE0M8Y/hgYn3crrxDMGegZyoK2NB+u3STC9ha7YUceREPfOnpdDQcp5Pdp3Ax8NEUqQvu49WkRTpS0NLJ4E+bhgMOopONZA6JIDla3O1ju5wchQLMYDuuymNz5bfSHK0Hwt+NIxhsf5MHRtNTIjz3nyTHJxEfMAQso5vY9H4uzEaLr8zFWfR2WXlnc8LCPBxZfZ1ifz2owP4e7tyy8QENmSXAXDLtb0/3zgujj9vL2Hc8DB25lcRF+ajcXrHk4YqxADz93Zl5oR4Ai1uvHz/tVyZFKx1JM1NHZpJhCUcX3eL1lFEP2zOraC5rYufTErmvS8KaG47z89njeSPm3oH77j1+kT+tqcMs9HAmKQgth86w/jhYZScaSQh3KJt+AEgDVWIi8jDzcjVX4/568wCPPyZn36b1jFEP+0rrMHd7ILF08zGvSf5+ayRrPgwF71exzP/kUFXt40DxWe558fD+WzPSVJi/AjydQcgIcKibfgBIA1VCCHED1LX1ElUkBcv/TmPWRMSePaDffh4mHn7F5mcqWvlL1+VkJESSmKEL5/tKWPBtBROVDbh4epCWICH1vEdThqqEE5OKUVheYPWMcQlyMvdyJm6VkYnBvH2346SFhfIO49MZnNuBa//9QgTUsN5ePYoHv/9LhLCLYwbHsaegmpSov0xXIY3ol1+eySE+JecOdvGvN9s4kRlEwAVNS0cKqnTOJW4FHi4GjGbDJTXtHDLtQn84tbe5vneF8f42U1p3D4lmUUvbaW1o5vHb7uS4tON7D9eQ3pKiNbRB4Q0VCGcUFbuKRav2k7neSstHb0D0u87VgPAriNVLFy+ha8OXd6j2oj+MxsNNLSc58ZxcQRb3Jn768/R63WsfuA6mtu6uGflFqw9Nl5fcj1Jkb6s+lPvwB7XjojQOPnAkIEdhHBCZVXN7D1Ww5+2l/Dja4ag00FlXRsARpfe99mHS+tIiw9ApwMv98t7zGHxwxSfaSTQ4saRE3WcrG5m2cJxVNW38eQ72dQ2dpCREsqT89JxMxl4+g855B6vJSMllKggL62jDwhpqEI4oZEJgQDknzjHbVOSGRrtR5fVBoCnW+/3Qptaz/PgK19xvquHP/zXZPR6nWZ5xeAUaHHjUGkd0cFdxIR489ibO/FwM5KeEsLM8fFEBXnx5x0lfLC5kKa2Lvy8zCz595Faxx4w0lCFcCLl1c2UV7cwPi2MYF93as61A5AWH8Cp2hYAAnzcgN47OIN93cjKPc3+wlrGpsj3Z0Vfj9w6ht35VXRZe+e2feDmkVg8zdQ0tPPOxgKyC6ro/vqN2pVJwTw5L53gr782czmShiqEE/k8p4J3/lbA0gXpTBkbybqtJbR2dJMaF0BW7ikAYkN7L8e1tHczLNaPrNzT7CmoJi0hgPNdPZf9lHPi/8/iaebpBRl8uPU4R0/Wsyu/krZOKwA6HcSHWxg/PIwpV0YzJPTyGxnpH0lDFcKJGPQ6lIIX1h7gnccz+eSrMjbsPMHkK6OobeigrKqZ2FBv/LxdOdfcaZ8Rp6qujef+uJ/tB8/wuwcnOs1MOeL7TUgLZ0La/41N3dbZTXunFTezi/3jA2chd/kK4UTumJbMpNERtLR38+XeCpbcOpIPNh3Hy8NEWnwAn+8pB3ovAdc0tJMYaUH39UenRRUNtHdaySs+q+EeiMHOw9VIoMXN6ZopSEMVwqmYjAaevftq5k5J4u1PC/ByN5IS48cHXxYxLT2Kv+wopbmti4kjwum22mhu68Lf2xVfLzP1TZ0Al+Wg5kI4gjRUIZzQ/bPSWDwrjSfe2sMt18XzWfZJ4iMsmI0G3tqQz8QRYbibXThcWkd4oCcmowGLpxlfLzNjkoO0ji/EoCSfoQrhpOZkJhIZ5Mlr64/wyE9G8dr6I9w5I4Xn3z/ApNGRzBgXy6GSOkL83Am0uOHlYeKW6+Ixuhi0ji7EoCRnqEI4sXGpYbz68LWcaz5PalwAOw9XMXNiHM+8t49Z18ZTVNFIekoIAZber9LcNCFO48RCDF46pZTSOsRAa25uxsfHh6amJry9nXdiZyG+i82m2Jp3mo17ynEx6DHodSRFWdDpdGw9cJrZkxKZOjZK65hC/GAD3QvkDFUIAYBer2PS6EieufMqRiQEcPxUIw0t5/ngyyKigr2YPCZS64hCDGpyhiqEuCCr1UbOsRo6u6xcc0Uorma55UJc2ga6F8hfiBDiglxc9FwzPFTrGEJcMuSSrxBCCOEA0lCFEEIIB5CGKoQQQjiANFQhhBDCAaShCiGEEA4gDVUIIYRwAGmoQgghhANIQxVCCCEcQBqqEEII4QDSUIUQQggHkIYqhBBCOIA0VCGEEMIBpKEKIYQQDiANVQghhHAAp5i+7ZspX5ubmzVOIoQQQivf9ICBmgbcKRpqS0sLAJGRkRonEUIIobX6+np8fHwc/ro6NVCtehCx2WxUVlbi5eWFTqfTOo6mmpubiYyM5NSpUwMyY/3lTurXP1K//pH69U9TUxNRUVE0NDRgsVgc/vpOcYaq1+uJiIjQOsag4u3tLX+Q/SD16x+pX/9I/fpHrx+Y24fkpiQhhBDCAaShCiGEEA4gDdXJmM1mli5ditls1jrKJUnq1z9Sv/6R+vXPQNfPKW5KEkIIIQaanKEKIYQQDiANVQghhHAAaahCCCGEA0hDFUIIIRxAGqoTiYmJQafT9XksW7aszzaHDx9m/PjxuLq6EhkZyfLlyzVKOzitXr2amJgYXF1dSU9PZ+/evVpHGnSeeuqpbx1nycnJ9vWdnZ0sWrQIf39/PD09ufnmm6mpqdEwsbZ27NjBjBkzCAsLQ6fT8fHHH/dZr5TiySefJDQ0FDc3NzIzMykuLu6zzblz55g7dy7e3t5YLBZ++tOf0traehH3QjvfV7/58+d/63icNm1an20cVT9pqE7m6aefpqqqyv5YvHixfV1zczNTpkwhOjqa3NxcVqxYwVNPPcWbb76pYeLB48MPP2TJkiUsXbqUAwcOkJaWxtSpU6mtrdU62qAzbNiwPsfZzp077esefPBBNmzYwLp169i+fTuVlZXMnDlTw7TaamtrIy0tjdWrV19w/fLly3n55Zd5/fXXycnJwcPDg6lTp9LZ2WnfZu7cuRw9epRNmzbx6aefsmPHDhYuXHixdkFT31c/gGnTpvU5HtesWdNnvcPqp4TTiI6OVqtWrfqn61999VXl6+urzp8/b1/26KOPqqSkpIuQbvAbO3asWrRokf15T0+PCgsLU88995yGqQafpUuXqrS0tAuua2xsVEajUa1bt86+7NixYwpQ2dnZFynh4AWo9evX25/bbDYVEhKiVqxYYV/W2NiozGazWrNmjVJKqYKCAgWoffv22bfZuHGj0ul06syZMxct+2Dwj/VTSql58+apG2644Z/+jiPrJ2eoTmbZsmX4+/szcuRIVqxYgdVqta/Lzs5mwoQJmEwm+7KpU6dSVFREQ0ODFnEHja6uLnJzc8nMzLQv0+v1ZGZmkp2drWGywam4uJiwsDCGDBnC3LlzqaioACA3N5fu7u4+dUxOTiYqKkrqeAFlZWVUV1f3qZePjw/p6en2emVnZ2OxWBgzZox9m8zMTPR6PTk5ORc982C0bds2goKCSEpK4t5776W+vt6+zpH1c4rB8UWv+++/n1GjRuHn58fu3bv55S9/SVVVFStXrgSgurqa2NjYPr8THBxsX+fr63vRMw8WdXV19PT02OvxjeDgYAoLCzVKNTilp6fz7rvvkpSURFVVFb/61a8YP348+fn5VFdXYzKZvjXTR3BwMNXV1doEHsS+qcmFjrtv1lVXVxMUFNRnvYuLC35+flJTei/3zpw5k9jYWEpLS3n88ceZPn062dnZGAwGh9ZPGuol7rHHHuP555//zm2OHTtGcnIyS5YssS9LTU3FZDJx991389xzz8lQZsJhpk+fbv85NTWV9PR0oqOj+eijj3Bzc9MwmXBGt956q/3n4cOHk5qaSlxcHNu2bWPSpEkO/bekoV7iHnroIebPn/+d2wwZMuSCy9PT07FarZw8eZKkpCRCQkK+dbflN89DQkIckvdSFRAQgMFguGB9nL0238disZCYmEhJSQmTJ0+mq6uLxsbGPmepUscL+6YmNTU1hIaG2pfX1NQwYsQI+zb/eGOc1Wrl3LlzUtMLGDJkCAEBAZSUlDBp0iSH1k8+Q73EBQYGkpyc/J2Pv/9M9O8dPHgQvV5vv9yRkZHBjh076O7utm+zadMmkpKSnPpyL4DJZGL06NFkZWXZl9lsNrKyssjIyNAw2eDX2tpKaWkpoaGhjB49GqPR2KeORUVFVFRUSB0vIDY2lpCQkD71am5uJicnx16vjIwMGhsbyc3NtW+zZcsWbDYb6enpFz3zYHf69Gnq6+vtb1AcWr9/6RYmccnavXu3WrVqlTp48KAqLS1V77//vgoMDFR33HGHfZvGxkYVHBysbr/9dpWfn6/Wrl2r3N3d1RtvvKFh8sFj7dq1ymw2q3fffVcVFBSohQsXKovFoqqrq7WONqg89NBDatu2baqsrEzt2rVLZWZmqoCAAFVbW6uUUuqee+5RUVFRasuWLWr//v0qIyNDZWRkaJxaOy0tLSovL0/l5eUpQK1cuVLl5eWp8vJypZRSy5YtUxaLRX3yySfq8OHD6oYbblCxsbGqo6PD/hrTpk1TI0eOVDk5OWrnzp0qISFBzZkzR6tduqi+q34tLS3q4YcfVtnZ2aqsrExt3rxZjRo1SiUkJKjOzk77aziqftJQnURubq5KT09XPj4+ytXVVQ0dOlQ9++yzfQ4qpZQ6dOiQGjdunDKbzSo8PFwtW7ZMo8SD0yuvvKKioqKUyWRSY8eOVXv27NE60qAze/ZsFRoaqkwmkwoPD1ezZ89WJSUl9vUdHR3qvvvuU76+vsrd3V3ddNNNqqqqSsPE2tq6dasCvvWYN2+eUqr3qzNPPPGECg4OVmazWU2aNEkVFRX1eY36+no1Z84c5enpqby9vdWCBQtUS0uLBntz8X1X/drb29WUKVNUYGCgMhqNKjo6Wt11113fehPsqPrJ9G1CCCGEA8hnqEIIIYQDSEMVQgghHEAaqhBCCOEA0lCFEEIIB5CGKoQQQjiANFQhhBDCAaShCiGEEA4gDVUIIYRwAGmoQgghhANIQxVCCCEcQBqqEEII4QDSUIUQQggH+F8JRcl8zlOIIQAAAABJRU5ErkJggg==",
       "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -335,7 +335,7 @@
     "col_df = pd.read_csv(\"doc_source/notebooks/Matisse/colors.csv\", header=None) \n",
     "\n",
     "scale_val = 6 # set scale value\n",
-    "plt.figure(figsize=(8,8)) # set figure dimensions\n",
+    "plt.figure(figsize=(5,5)) # set figure dimensions\n",
     "\n",
     "for i in range(len(file_names)): # for each leaf\n",
     "    shape = np.loadtxt(data_dir+file_names[i]) # get the current shape\n",
@@ -347,7 +347,8 @@
     "    plt.fill(trans_sh[:,0], trans_sh[:,1], c=col_df[0][i], lw=0) # plot shape\n",
     "    plt.gca().set_aspect(\"equal\")\n",
     "\n",
-    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")"
+    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")\n",
+    "# plt.savefig(\"Matisse_MDS.png\", bbox_inches = 'tight', dpi=300) "
    ]
   },
   {
@@ -377,7 +378,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/_sources/notebooks/Playing_with_Spirals.ipynb.txt b/docs/_sources/notebooks/Playing_with_Spirals.ipynb.txt
new file mode 100644
index 0000000..3b1339f
--- /dev/null
+++ b/docs/_sources/notebooks/Playing_with_Spirals.ipynb.txt
@@ -0,0 +1,1204 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ect import ECT, EmbeddedGraph, EmbeddedCW,create_example_graph\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle\n",
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAGdCAYAAAC/5RwpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAABwlElEQVR4nO3dd1hT1/8H8HdC2LIEQUBQEKkKogKKW1HrFle1WrRqHXWvurVVf7airaNq3QNH3W0doHWA2zpRcdStDNlLpkBIzu8PS76ijIBJThI+r+fJ82jGvW+i5JN77rmfI2CMMRBCCCEcCXkHIIQQQqgYEUII4Y6KESGEEO6oGBFCCOGOihEhhBDuqBgRQgjhjooRIYQQ7qgYEUII4U7EO0BppFIpYmNjYWJiAoFAwDsOIYSQcmKMITMzE3Z2dhAKSz7+UetiFBsbCwcHB94xCCGEfKLo6GjUqFGjxMfVuhiZmJgAePdDmJqack5DCCGkvDIyMuDg4CD7PC+JWhejwqE5U1NTKkaEEKLByjrVQhMYCCGEcEfFiBBCCHdUjAghhHBHxYgQQgh3VIwIIYRwR8WIEEIId1SMCCGEcEfFiBBCCHdUjAghhHBHxYgQQgh3VIwIIYRwR8WIEEIId1SMCCGEcEfFiBBCCHdUjAghhHBHxYgQQgh3VIwIIYRwR8WIEBVKS0vjHYEQtUTFiBAV6tChAwBgwIABnJMQol5EvAMQUpm8ffsW169fx/3793H//n0wxoo87uHhwSkZIXwpvRjFxMRg1qxZ+Pvvv5GTkwMXFxcEBgbC29tb2bsmRO1MmTIFw4cPx8uXL+Hn51fkMYFAgJcvX3JKRghfAvbhVzMFSktLQ+PGjeHr64uxY8eiWrVqePbsGWrXro3atWuX+fqMjAyYmZkhPT0dpqamyopJiMr1798fa9aswePHj+Hr6wuxWAypVAp9fX3e0QhRKHk/x5V6ZLRs2TI4ODggMDBQdp+Tk5Myd0mIRvjyyy/RrFkzCIVCvHr1Cv/++y/mzJmDEydO8I5GCBdKncBw7NgxeHt7o3///rC2tkbjxo2xZcuWEp+fl5eHjIyMIjdCtFFAQABu374Nc3NzAEDDhg0RGRnJNxQhHCm1GL18+RIbNmxAnTp1cOrUKYwdOxaTJk3Czp07i31+QEAAzMzMZDcHBwdlxiOEGx0dHVhaWha5T09Pj1MaQvhTajGSSqXw9PTEkiVL0LhxY4wePRqjRo3Cxo0bi33+nDlzkJ6eLrtFR0crMx4h3JiYmCAhIQECgQAAEBoaiqpVq3JORQg/Sj1nZGtri/r16xe5r169evjzzz+Lfb6+vj6dwCWVwrJly9C1a1e8fPkSrVq1wqtXr3D8+HHesQjhRqnFqGXLlnjy5EmR+54+fYqaNWsqc7eEqD1vb2+cO3cO//zzDxhjaNGihez8ESGVkVKL0dSpU9GiRQssWbIEAwYMwI0bN7B582Zs3rxZmbslRCOYmZmha9euvGMQohaUes6oSZMmOHz4MPbt2wd3d3csXrwYv/76K/z9/ZW5W0KIBnj79i0kEgnvGERNKPWi109FF70Sor0mTJiAhg0bon379nB0dISuri7vSEQJ1OKiV0IIKY5YLIa9vT1+//13BAcHw9vbG3379oWzszMMDQ15xyMc0JERIYSbnTt3YteuXXj06BGsra3Rrl079O/fH3Xr1v3oOiyimeT9HKclJAghXGRnZ2Pt2rXYvn07YmNjsWHDBly4cAGdOnXClStXeMcjKkbFiBDCxenTp2Fubo6aNWtCIpGgefPmOHjwILp3745mzZrxjkdUjIoRIYSLJk2aIDc3F7t27YKOjg4A4NSpU6hWrRqsra05pyOqRsWIfLLLly/zjkA0ROFU7qtXryI8PBz+/v749ddf4enpiZEjR2Lnzp0YOHAg55SEBypGpMJiY2Ph6emJ4cOHIyUl5aNVSwn5UOER0KxZsyCRSDB27FgcOXIEM2fOhJWVFQ4cOIDWrVtzTkl4oGJEyk0sFmP27NmoUaMGfH198ezZM1haWsqafhJSnMIvK7du3YJYLIafnx8YY3BwcMDAgQPh5uYGExMTzikJL1SMSLmcPn0aZmZmiIiIQEBAADIzM3Hq1CkAoKvpSakKv6xkZWXB3d1ddp9AIMCdO3ewYsUKVKtWjWdEwhEVIyKXgoICNGzYEF27dsW+ffuwf/9+zJo1C/369cO8efMA/G8IhpDSNGzYEBcuXMCQIUNw69YtZGdnY/ny5Rg6dCjvaIQjKkZELiKRCPPmzcPs2bPRq1cv2f3Z2dlwcXFBbm4ux3REk1hYWCA0NBQ2NjaYMGECvLy8YGdnh3HjxvGORjiiDgykXLy9vbF27VrUr18fe/fuRWBgIIYPH46xY8fyjkY0TE5ODvLz85GamgpnZ2fecYiSyPs5TsWIlMuBAwewc+dOXL9+HX5+fmjZsiVGjhyJgoICiETU6pAQUhQVI6I0SUlJSE5OhoODAy5fvoxr165h586d+Oqrr+Dn5wcfHx9IJBI6h1QGxhhycnIAAEZGRjQbkWgl6k1HlKZatWqoV68eHj9+jKVLlyI+Ph7r1q2Dk5MTZsyYAYAmM8gjJycHVapUQZUqVWRFiZDKiooRqbAjR46gcePG2LhxI7p164aRI0fC0tISa9eu5R2NEKJhqBiRCnv06BHat28PAMjMzAQALF++HDVr1qRuDISQcqFiRCps0KBBWL58OQDIrpyvWbMmunfvTuc/CCHlQsWIVNgXX3wBJycnBAcHo6CgAMC765HofBEhpLxoLi75JL/99huysrJoWjch5JPQJwj5JIWzwQgh5FPQMB0hhBDuqBgRQgjhjooRIYQQ7qgYEUII4Y6KESFEKdatW4ejR4/SootELjSbjhAlys3NxdOnTxEbG4usrCyIxWLo6OhgwIABRZ4XGBgIY2NjiEQi+Pr6okaNGoiOjkZqaipsbW1hZWUFoVBzvjumpaVh5syZyMnJwblz59CuXTvekYiao2JESAWkpaXB0NAQBgYGuHLlCs6dO4fY2FjExcUhNjYW3bt3xw8//ID79++jadOmRV5rbm7+UTGaOHGi7M/BwcGoUaMGtm/fjoULFwJ4dzFx9erVMXjwYAQEBCAtLQ1r166Fra0t7OzsYGtri5o1a8LS0lLpP7s8tmzZgpycHHh4eKBt27a84xANQMWIEDmcP38e165dQ1hYGMLCwvDq1SucOXMGHTt2REhICNatWycrCu7u7nB1dQUAuLm54dq1a7C1tYWpqSlEIlGxFwhnZmbC0NCwyLpQ48ePR5cuXRAXFycrcvXr1wcAxMXFYf369UhMTJT1AdTX10dmZiZ0dXWxe/duWFtbw8vLC1ZWVip6l94Ri8VYs2YNAGDq1KnUGorIhdYzIuQ9qampuH37Nm7duoX79+9j9+7dEAqFaN68OR4+fAhPT094eXnBy8sLn3/+OapVqwbGWIU+cLOzs2UXDGdlZcHY2Ljc2ygoKEBCQgLi4uKQkpKCzp07gzGGmjVrIjo6GgDg6OgILy8v/PLLL6hduzbEYjF0dXXLvS957d27F/7+/rCxsUFkZCT09fWVti+i/uT9HKcjI1KpFS4CmJWVBQ8PD7x69QrAu8avnp6eSE1NhZWVFYKCglC1atViz9vw/OYvEolgb28Pe3v7InkiIiLw4sUL2ZFcWFiYrNgNGzYMV65cQcuWLdGzZ0906dIF5ubmCsnDGMPKlSsBABMmTKBCRORGR0ak0omMjERQUBCCgoIQExOD+/fvQyAQYOHChfjss8/g5eUFFxcXpU8YUMSRUUWcPHkSoaGhCA0NxZ07dyASibB//37069fvk5ePv3TpEtq0aQMDAwNER0erfIiQqB86MiJqJzc3FwYGBtz2HxcXh65duyI8PBy6urpo27Ytvv32W0ilUujo6MgmC2i7Ll26oEuXLgCA6OhoBAcHyyZZzJw5E2fOnEHPnj3h5+eHpk2blqsoFx4VDR06lAoRKRfNmStKNFZBQQGWLl2KWrVqISYmRmX7PHHiBMaMGYP+/fsDAGxsbNCsWTMcOHAASUlJOHPmDCZOnFipl7xwcHDA2LFj4eDgAOBdofL09MTmzZvRvHlz2NnZ4fDhw3Jt6/nz5zh69CgAYMqUKcqKTLQUHRkRpRMKhThy5AgSEhIwffp07Nu3T2n7ysjIwK+//orNmzcjJiYGtWvXRp8+fcAYg1AoxMaNG5W2b23QqVMndOrUCRKJBFevXsWxY8fg7OwM4N21UC9fvsTo0aNlxet9q1evBmMM3bp1Q926dVUdnWg6psbS09MZAJaens47CvlEYWFhTCAQMADs7NmzCt22VCpljx8/ZowxlpWVxezt7dno0aPZ7du3mVQqVei+FCkrK4sBYABYVlYW7zhlCggIYCYmJkwoFLI+ffqwM2fOMIlEwhhjLDU1lRkZGTEALCQkhHNSok7k/RynYTqiEp6enhg7diyAd7OsxGLxJ28zPT0dv/32G9zc3NCoUSOkpaXB2NgYr169wqZNm9C4cWO6xkWBZs+ejZiYGKxbtw7Pnj3D559/jpCQEADA5s2bZRe5tm/fnnNSoolUVoyWLl0KgUBAY8mV2I8//ggrKyv8+++/sosiK0IqlWLcuHGwt7fHlClT4ObmhhMnTsimJyvzGprKzsTEBGPGjMG9e/dw5coVdOjQAWKxWDb5o2/fvvQFgFSISorRzZs3sWnTJnh4eKhid0RNWVhYYNmyZQCAhQsXIjY2Vu7XMsZw/vx5SKVSCIVCiMVizJgxA1FRUTh06BB8fX3pQ1CFBAIBWrRoAR0dHRw8eBC5ubkQCoVYuHAhmjVrhqNHj8o6QxAiD6UXo6ysLPj7+2PLli2wsLBQ9u6Imhs2bBh8fHyQlZWF6dOny/Waa9euwdfXF76+vjh9+jSAd73PFixYADs7O2XGJWVg713kumDBAhw5cgSGhobw9/dHSkoK53REkyi9GI0fPx7du3dHx44dy3xuXl4eMjIyityIdhEKhVi/fj0EAgH27duHc+fOlfjcR48eoU+fPmjevDnS0tJw/PhxdO7cWYVpSVkuXbqE27dvw8DAAOPGjUOvXr1w9uxZ3L9/H1ZWVkhPT8egQYNw79493lGJmlNqMdq/fz9u376NgIAAuZ4fEBAAMzMz2a246aNE88k7meHcuXO4e/cudu/ejTt37qBbt25aNRRnZGSErKwsZGVlwcjIiHecClm1ahWAohe5CgQCODk5AQCioqIQFhaGRo0aYciQIbJ2S4R8RFnT+aKiopi1tTULDw+X3de2bVs2efLkEl+Tm5vL0tPTZbfo6Gia2q2lUlNTmZWVFQPAli9fzhhjLCkpiU2bNo1NmDCBMcZYfn4+y83N5RmTlOLZs2ey6fqPHj0q8Xn5+fls48aNzNbWlunq6rLVq1erMCXhTd6p3UorRocPH2YAmI6OjuwGgAkEAqajo8MKCgrK3AZdZ6Tdtm3bxgCwKlWqsBkzZjBTU1NWpUoV9uOPP/KORuQwYcIEBoB169ZNrudnZ2ezJUuWsIsXLzLGGHvx4gX9blcC8n6OK61RamZmJiIjI4vcN3z4cNStWxezZs2Cu7t7mdugRqnaTSqVwsfHB7du3YJQKMTEiRMxb948VKtWjXc0Uoa0tDTUqFEDOTk5CAkJQYcOHcq9jQ4dOuDBgwdYv349+vXrp4SURB3I+zmutHNGJiYmcHd3L3IzNjaGpaWlXIWIaLc3b96AMYZNmzZBIBBAKpWiV69eVIg0hCIuct25cydatGiBL774AoMGDUJycrKCUxJNQh0YiModP34cbm5uWLdunVI6MxDlEovFWLt2LQBg2rRpFZ5UUqNGDfz111/Yu3cvTp8+jVatWkEikSgyKtEkqhgzrCg6Z6RdUlNT2ddff80AsK5du7Lo6GjZ/R9OZiDqa8+ePQwAs7GxUdgEk7i4OFnPwrS0NJaUlKSQ7RL+qDcdUSsRERFwd3fH0aNHsX37dhw/fhw1atQA8GmdGYhqMcawYsUKAIpdybV69erw9fUFAMydOxf169fHn3/+qZBtE81AxYgoVW5uLgDA0dER33zzDR48eIDhw4d/NLQzbNgwNGvWrFydGYjqvXjxAg8fPoSBgQHGjBmjlH388MMPaNmyJb744gsMHDiQziVVElSMiNIcP34cLi4uCA0NhVAoxOLFi2VHQx8SCoVYt26drDPD+fPnVRuWyMXFxUXWD1BZK7lWr15ddi7pzJkzaNCgAXVjqQSoGBGFk0ql+P7779GjRw94eHjIvdDa+5MZxo8fT5MZ1JS1tTV69Oih1H0IBAIMGjQIDx8+xM8//wxTU1MwxmiCgxajYkQUKjMzE3379sVPP/2EgIAAHD9+HPb29nK//v1lJgpnbJHKq3r16hgyZAiAd8vQ9OjRA2/evOEbiigFFSOiUBKJBDExMTh27Bhmz55d7mm/709mWLBgAU1mIDJeXl64du0amjVrhqdPn/KOQxSMihFRiAsXLiAiIgLm5ua4fv36Jw3j0GQGUpxOnTrhxo0bEAgEaNq0KU6dOsU7ElEgKkbkk23YsAEdO3bE8uXLAbybjPApPpzMEB4eroiYRAvUqVMH165dQ6tWrbBu3TpawE+LiHgHIJorPz8fkydPxsaNGzFp0iTZ9SeK4OnpicWLF8PDwwMNGzZU2HaJ5jMzM8PRo0eRm5sLgUCABw8ewMXFBQYGBryjkU+gtEapikCNUtUXYwzdu3dHSEgI1q9fj5EjR/KORCqhvLw8uLi4yFoL2dra8o5EPsC9USrRbgKBAKNHj8bZs2epEBFu9PX18ddffyEqKgpNmjTB3bt3eUciFUTFiJTL3bt3MXPmTDDG0Lt3b7Rq1Yp3JFLJNWnSBLdu3YKtrS18fX1x/fp13pFIBVAxInK7efMmfH19cfbsWWRlZfGOQ4iMra0tQkND0apVK+jp6fGOQyqAihGRy5UrV9ChQwfUq1cPoaGhMDEx4R2JkCJMTU0RFBSExo0bIzc3F7du3eIdiZQDFSNSpvv376Nz587w9PTEqVOnYGZmxjsSIaX65Zdf0Lp1a5w8eZJ3FCInKkakTPXq1cP8+fNx4sQJOiIiGmHmzJno1KkTevfujTNnzvCOQ+RAU7tJia5fvw6xWEyTFIhGys/PR9++fXH27Fn8/fffaNu2Le9IlRJN7Saf5Pbt2+jcuTN++ukn3lEIqRA9PT388ccfaNmyJc6ePcs7DikDdWAgH7l//z46deqEunXr4sCBA7zjEFJhBgYGOH78OHR1dQG86ypPQ83qiY6MSBGRkZH4/PPP4ejoiJMnT9LwKNF4enp6EAgEOHHiBFxcXPDs2TPekUgxqBiRIt68eYPPPvsMp06dgrm5Oe84hChMixYtYGFhAT8/P6Snp/OOQz5AxYgAeLc6a35+Pho2bIjz58+jWrVqvCMRolDm5uY4duwY4uLi4O/vT6vGqhkqRgTAuxVWO3bsiIKCgnIviEeIpnB1dcWBAwfw999/yxZxJOqBihHBX3/9hQULFqBTp04QiWhOC9FunTt3xr59+6jBr5qh64w+EWNMo48k7t27h+bNm6N79+44cOCARv8shJRXXFwcEhMTac0sJaLrjFREIBBAKpVCKpXyjlJuWVlZ6NWrF1xdXREYGEiFiFQ6EydORLdu3RAbG8s7SqVHxaiCkpKS8PPPPyM+Ph5CoRBCoVDjlkCuUqUKvv/+exw9ehTGxsa84xCicmvXroVAIECfPn2Qm5vLO06lRsWoggqPInr06IFJkyYhIyMDAoEAkZGRaNeuHdLS0jgnLN21a9cAAN988w0cHR05pyGED1tbWxw5cgT37t3D6NGjNe4LpTahYlQBr1+/RmhoKNq1a4dbt24hNzcXFy5cAACsXr0aBQUFsLCwgFgsVsvhu02bNqF58+a0CBkhALy9vbFt2zYcOHAADx484B2n0qKpU+UUEREBf39/uLq6IiIiAgBgYWGBW7duoVGjRjh48CCmTp0KqVQqa0GiTp48eYIpU6Zg7Nix8PHx4R1HpbLzChCRko38Ain0RELUsjSGsT79ChSqzO/PV199hVatWtEoAUeV43+aAj179gwFBQUIDAwEAOzduxfz58/HiBEjEBgYiMzMTGRnZ6NevXro1asXli5dCqFQPQ5AJRIJhg8fjho1amD58uW846jEs4RM7LkehXNPEhGVmoP3B2EEAByrGsH3M2v4+ziijk3l61lG78//ODo6Ii8vD5s2bcLYsWPV8sukNqNiVE4mJibIysrCypUr0bRpU5w4cQI1atRAgwYN8NVXX2Hfvn3o1q0bxo4dixEjRiA6Oho1a9bkHRsAsH37dly7dg0XL16EkZER7zhKFZ2ag7mH7+PS82ToCAWQSD8+F8AARKbmYPf1SOy4GoHWLlZY0qcBHKpq93sD0PtTkkePHmHatGnIyMjA/PnzecepVOg6owp48eIFli1bBlNTU2zevBmBgYF49uwZDh06hLCwMFmbERsbG5w+fRqenp6cE7+Tm5uLkJAQ9OjRg3cUpdp/MwoLjj1EgZQV+yFbEh2hACKhAIv83DCwifYO19D7U7r58+fj559/xq1bt+Dh4cE7jsaT93OcitEnePPmDX777TcMGTIEtWvXxujRo7F+/XoAwI4dO3Do0CHs2LGDe583iUSCV69ewcXFhWsOVfjt3DMsP/20xMfz4p4iLWQz8hNfgYnzYDt8DfRsnD963vROrpjgW0eZUbko6/2Rl7a+PwCQl5cHb29v6Orq4vr16zRc94noolcVMDc3x/z581G1alVMnDgRRkZG+Omnn3DhwgXMnDkTAwcOhJmZGe+YWL16NTw8PBAfH887ilLtvxlV6gctkxQg6fBSSN5mwaLDKFj2+A46ZtbFPnf56ac4cDNKWVG5KOv9KQ9tfH8K6evrY8eOHbh37x6OHTvGO06lQUdGChQTE4OpU6fCxMQEnp6eGD9+PO9IePLkCRo1aoQxY8Zg1apVvOMoTXRqDjquuoC8gpKn0otTohG7ZSyqdp0Ik4ady9ymvkiIkKltteIciTzvT3lp0/tTnEePHqFevXq8Y2g8OjLiwN7eHgcPHsSmTZvUohAVzp5zcHDQ+uXD5x6+j4Iyzn9Ist+tYSPUl6/bRIGUYe7h+5+cTR3I8/6Ulza9P8WpV68eGGMIDg6GWCzmHUfr0Ww6JVCXztdr167FtWvXcOnSJa2ePfcsIROXnieX+pzk4FXIfhD67s9HliIZgL6DO6r7Ly3xNRIpw6XnyXiemAkXa82d1izP+wMABZnJeHPxd7x9cQvSvCzoWtjBtElvVGnYqdjna8v7U5oXL16gd+/eWLBgAb7//nvecbSaUo+MAgIC0KRJE5iYmMDa2hq9e/fGkydPlLlL8p4vvvgCW7duRcuWLXlHUao916OgIyy9yatJ4y4wbT7g3Z+9esKyx3cwa/FlmdvWEQrw+zXNPjciz/sjyU5D/K7pyI0Mh4lXd1TtOBoic1uk/L0GGTePlvg6bXh/SuPi4oJZs2Zh8eLFuHfvHu84Wk2pxejChQsYP348rl27hjNnzkAsFqNTp07Izs5W5m4JgPz8fNSoUQPffPMN7yhKd+5JYplTlPXt68GwVqN3f3ZwQxV3Xxg6NS5z2xIpw7mniYqIyY0878+bC7sBJoXt8NUwbzkIJo27wfqL72FUrw3eXN4LqTiv2Ndpw/tTlh9++AG1a9fGtGnTeEfRakotRidPnsSwYcPg5uaGhg0bYseOHYiKikJYWJgyd6s1jh49WqHCfeXKFTg5OeHly5dKSKVesvIKEJWao9R9RKXkIDuvQKn7UBZ53h/GGHKeXIGhS1OAMUhy0mU3QydPsLxs5Ce8KPH1mvz+yENfXx9Lly5FaGgoQkNDecfRWio9uZGe/u4EctWqVYt9PC8vD3l5//sGlpGRoZJc6ujevXvo3bs3rK2tMXPmTIwZM0auZR4YY5g9ezasra1Rq1Yt5QflLDIlG8qeDsoAnLwSBidzzbve5NUbcZnvjzQnHdK8bGTdPYmsuyeLf072mxJfzwBEpGTDzY7/ZQzK4ufnh927d2v9kDdPKitGUqkUU6ZMQcuWLeHu7l7scwICArBo0SJVRVJrycnJcHJywqtXrzB9+nT8/PPPchWlEydO4PLly/j777/VpieeMuUrcKpyab4a/DXy4xRzjY4q6dm6wnboytKf9N/VHcZuvjBu0KH47VSrVeomVPXvwItAIMDgwYMBvBsC19PT45xI+6isGI0fPx4PHjzA5cuXS3zOnDlziozLZmRkwMHBQRXx1E779u3x5MkT7N69Gz/++KNcRUkikWDOnDlo164dOncu+zoabaAnUk3B3fv7Lo09MvruTOkz6YRGphDoGYIxqey8Wnmp6t+Bt82bN2P16tW4e/cudWZQMJUUowkTJiA4OBgXL15EjRo1Snyevr4+9PX1VRFJI+jq6uKbb77BkCFD5CpKhR0WAgICKs0S4rUsjSEAlDpUJwDQpaWXRi6n8FleAaafOVXq+yMQ6sDos5bI/vc88pP6f3QUJMlJh45RyUNwArz7d6gMfHx88OjRI2zfvh3ffvst7zhaRalfZxhjmDBhAg4fPoyzZ8/CyclJmbvTWoVF6cmTJ9i2bRucnJyQmJiI6dOnw9nZGStWrEB2djbs7e0RHh6OZs2a8Y6sMsb6IjgquQOAo6WRRhYiQP73x6LdUOgYV0X8ru+QGrIZmXdPIv3qISQdWYrYzaV/6Gry+1NeDRs2xFdffYVFixYhJ0e5E2cqG6UWo/Hjx+P333/H3r17YWJigvj4eMTHx+Pt27fK3K3WKq0o2dvbY9q0aZXyF8T3M+syr6OpKB2hAL6uxfev0xTyvD86xhawHboSVRp0RM7Tq0g9vRGZt45B+jYT5u2Glfw6LXh/ymvx4sVITk7GmjVreEeRi1Qqla0koM6U2puupKGiwMBADBs2rMzXa1pvOlUTi8XYvXs3Fi9eLFt1tryz77TBs4RMfP7rRaVtP2RqG43uMEDvj+JNnjwZYrFY1qVf3YSGhqJ169YfTbRISUmBpaWlSrOoRW86xlixN3kKESnb++eURCIRHBwcih2+03Z1bEzQ2sVK4UdHOkIBWrtYafwHLb0/irdq1Sq1K0TvHwF1794dZ86cAQBERkZi1qxZ8PDwwMSJE7Fr1y6oY3/syjEFRoulpqZi1apVmDx5Ml68eFHqOSVttqRPA4gU/GErEgqwpE8DhW6TF3p/FEsoFEIikWDXrl1qszSLUCiEjo4OAGDAgAE4deoUAODYsWNwcXHBrVu3MGTIEMyYMQMnTxZ/PRlPVIyKIZVqzjUTO3bsQH5+PmbOnCn3RAdt5FDVCIv83BS6zf/zc9Oa5RHo/VG8zMxMjB07Flu3buUdBQCQmJiIb7/9FoMGDUJOTg5CQkLw4sULrF27Frm5ufD398f8+fPh7+9f4rWePFExKsb27dvRvHlzzJo1C5mZmbzjlGrAgAHYs2cPrK3/dxK5shalgU0cMb2Tq0K2NaPTZ/hSy5bWpvdHsczNzeHv749NmzahoIB/O6TAwEAIBAIsWrQIw4cPx9OnTxEfHw8rKyuEhIRg1qxZCAsLw8qVK+Hg4KB2y2LQ4nrvSUtLw/LlyxEeHo7x48cjPz8fvr6+MDU1hUQigVAo1MjrdwonOhRepwS8m+jw8OFDWFlZcU6nePtvRmHBsYcokLIyG4S+T0cogEgowP/5uWn1By29P4pz9+5dNG7cGIcPH0bv3r25ZqlTpw7WrFmDrl27AgC++eYbmJmZwdraGuHh4di/fz8A4K+//sLVq1exYMECVKlSRem51GICg6bJycnB0aNHcfPmTfz2229o2rSp7ISgjo6O2hWi0aNHY/PmzWU+r7gjJW9vb60sRMC7I4CQqW3Rwvm/WUPS0qe1Fp7Yb+FsiZCpbbXmgzY7rwAPY9NxJyoND2PTZc1MP3x/yprYwP57/7Tt/VGERo0aoXnz5twnM+Tl5aFDhw54/Pix7L527drh+PHj6N27N3Jzc+Hn5wdPT09s2LABrq6uMDAw4Jj4Y5XjSjU52dvbw8HBAXPnzkXVqlWxePFiPHr0CImJiVi8eDGcnZ3RqFEj3jEBAFFRUdi2bRu8vLzkfs37s+9SU1OVmI4/h6pG2Dm8CezrecG9z1jkW9ZBVEpOkU4EAry7YNPX1RqDmzlqxaywZwmZ2HM9CueeJCIqtZift6oRfD+zhr+PI3aP8Pnf858mFvv+2Jvp49HZPzCjTzPMHtFdtT+Mhvjhhx8QHx8Pxhi3L6x6enpo2rQpVq9ejalTpwIAEhIS8Pz5c8TFxeHIkSO4cuUKateujerVq3PJWBYapnvP+fPnsXTpUvzf//0fEhMTMW7cODx58gQvXrxAYGAgVq1ahX///Rd169ZVepayzJ8/H2vXrkVMTIxKDrU10fXr19GsWTNcvHgRrVu3RnZeASJSspFfIIWeSIhalsZa0zkgOjUHcw/fx6XnydARCkodfit8vLWLFZb0aSCbhFDS++Pr6wt9fX21nIFFiurTpw8kEgnu3buHUaNGwcXFBd26dYOJCb8vWvJ+jmvHb6KCXLhwAa6urtDR0cGJEycwY8YMGBoawt3dHebm5nB1dYWrq2JOAH+K/Px8bNmyBUOHDqVCVIqgoCBUrVoVzZs3B/CuNY42LnPw/jkgAGWeByp8/J+XKei46gIW+blhYBPHEt+f/v37Y/LkyVwumNQUL1++REBAAH799VeuF5sfOHAA4eHhsLOzg729PbccFUHnjN5z+vRpuLq6ws3NDefOnYOnp6fsscePH8PX11ctlmU4deoUEhMTMXbsWN5R1FpwcDC6desGkUh7v3P9du4ZZv91H3kF0iJF6M2lPYhc2gOSnPQSXyuRMuQVSDH7r/v47dyzEp/Xt29fSKVSHDlyRJHRtYpAIMC2bdtkkwR40dPTQ5MmTTSuEAFUjGRycnLQo0cPNG3aFLq6unB3d0dUVBQA4P79+zhy5Aj69evHOeU7PXr0QHh4OOrVq8c7itqKiopCeHg4evbsyTuK0uy/GYXlpxWzxtLy009x4GZUsY9Vr14dbdq0waFDhxSyL23k5OSEbt26Yd26deXqbhAZGYkVK1bg4kXltWvSFNr7lbGcjIyMMGfOHNnf58+fjzFjxmDv3r0wNTWFmZmZbLiHp8KFvTw8PHhHUWvBwcEQiURau65TdGoOFhx7qNBt/nDsIVrUtir2QlYaqivbuHHj0L17d9y4cQM+Pj4lPi8yMhJ//PEHDh48iBs3bgAAvvrqK7Rp00ZVUdUSHRn9hzEmm8Z99uxZvHjxAhcvXsTmzZsRHx8PPz8/GBsbc+/pNGXKFO7XM2iCoKAgtGnTBmZm2neOCADmHr4vO0ekKAVShrmH7xf7GA3Vla1z585wcnLChg0bPnqs8AjIx8cHtWrVwvTp03Hjxg0IBAK0bdsWHTt25JBYvdCR0X8EAoGsr5O9vT0OHTqExYsXQ19fH82aNcOYMWM4J3zXpujPP//E119/zTuKWsvKysLZs2exbNky3lGU4llCJi49L3311kLStxlIPb0Bb1+GQSAUwditHSx8h0Mg+njZbImU4dLzZDxPzPxomvv7Q3UjRoxQyM+hbXR0dLBnzx5Uq1YNQPFHQMC7z5o2bdpgwIAB6Nu3r9pOtVY1KkbF+Oyzz2Tfbp4/fw4nJydZoVLUdQS//fYbMjMz0bNnT7i5ucm13Rs3biAxMRG9evVSSAZtFRISgvz8fK09X7TnelSZ07cLJR1ZBpGZNSzaDkVe7BNkhgVBmpsFq57fFft8HaEAv1+LwsJi+tjRUF3Z7OzsqABVEBWjMri4uCh8m4wxrFq1Ci9fvsTcuXPh5OSEHj16oGfPnmjbtu1Ha5AUCgoKgqWlpVqcu1JnQUFBqFevHmrXrs07ilKce5IodxsfkZkNrL/4HgBg4tUDAn0jZN0+DlOfvtCz/njlZYmU4dzTRCzEx8Wob9++mDhxIo4cOUJHR++hIyDFoHNGHEilUsyYMQPdunWDvr4+Xr16hbVr16JTp06wsrLCF198gZ07dyIpKanI686dO4fu3bvLjtLIx6RSKY4fP661R0VZeQWISpV/NV8Tr6JdE0y9egAA3r64VeJrolJyZK2D3kez6v6ntHNAdnZ2sLS0RExMDM6fP49x48ZRIZIDHRlxoKOjgzFjxmDMmDHIzs5GSEgIgoKCEBwcjISEBPz555/4888/IRAI0Lx5c/Ts2RM9evTAuXPn1L6LOG83b95EQkICevTowTuKUkSmZKM80xZEFnZF/25uCwiEKEhPKPE1DEBESjZdAPsBeY+A7ty5g27duiE1NRW2trYcE2sWKkacGRsbo1evXujVqxekUinCwsIQFBSEoKAg3L17F//88w/++ecfzJkzR+7hvMrsw64L2ia/4BPX2pLznGdJ+6lsQ3VisRhr1qwp1xCcr68vjI2NcezYMbi5KXYNKW1Gw3RqRCgUokmTJvi///s/3LlzB1FRUVi/fj26desGoVAo93BeZabtXRf0ROX7lS1Ii/3470wKkZlNhfZT2YbqRCIRNmzYUGQa9rp16xAbG1viEJyBgQE6d+6MY8eOcUqtmbTzN1ZLODg4YOzYsRg0aBCsrKwwevRoSCSSMofz5J2dp20Kuy7MnTuXdxSlqWVpDAEg91BdZthxGDr9r61VRlgwAMDQueRu74L/9lOSyjRUJxAIMHfuXOTm5pZrEsLcuXORl5en5HTahbp2a4D9+/dj0KBBiIqKgoODA6RSKW7duoXg4GDZcN773h/Oa9++faWZ8LB+/XpMnjwZycnJWnuxKwC0/eUcIsuYxPDm0h6kX9kH3Wq1IDKzhqGzF/JiHiP74TkY1W+Lan4zSnxtTUsjXJjuW+Lj8fHxsLe3x+bNmyvFUB35NLS4nhY5duwYGjduDAcHBwDvhvOaNm360XBe165di8zO+/LLL7l3jFAlbe+6UMj3M+syF8QrVK3XLAh0dJF2fgfevrgJE88esOo2ucTn6wgF8HW1LvFxoPIN1VXUwYMHMX/+fN4xNAYdGak5qVSK6tWrY9y4cVi4cGGZz39/dp6JiQlWrVql/JBqICsrC5aWlli2bBmmTJnCO45SPUvIxOe/Kq+xZsjUNmUuNFh4FBofH6/1Q3UV9csvv2DBggVISUmBoaEh7zjc0JGRlhAKhXj69CkmTpwo1/MLZ+dt3bq10hQiQPu7LhR6/fo15k0cgbevbpe5nHp56QgFaO1iJdeKt9Srrmzdu3fH27dvcfnyZd5RNAIVIw1gbm5O3z7LoO1dF/Lz87Fs2TLUrVsXFy9exLxOtaGvp6vQfYiEAizp00Cu59JQXdnq1q0LU1NT3LpV8gXG5H+oGKm5GTNmYPbs2bxjqDVt77oQEhICDw8PzJs3D6NGjcKTJ08w6ZuvsKiY/nGf4v/83IpdPqIk/fv3R2hoKFJSUhSaQ1sIhUJ4enoiLCyMdxSNQMVIzZ04cQIZGRm8Y6g1be268Pr1awwYMACff/45rK2tcefOHaxatUo2QWNgE0dM7+SqkH3N6PQZvmziWK7X0FBd2aZPn04zDuVExUiNZWVl4fHjx/DyKvmaEKJ9XRc+HJLbvXs3Lly4gAYNPh5Cm+BbB0v7NoC+SAiw8nVn0BEKoC8SYlnfBhjvW/6GwDRUV7bu3buja9euvGNoBCpGauzu3buQSqVUjMqgTV0XihuSGzx4MAQCAbLzCvAwNh13otLwMDZd1sx0YBNHrOxYFW8j7gJAmdO+Cx9v4WyJkKlty31E9D4aqitdfn4+Nm3ahAcPHvCOovY0/7dXi4WFhUFfX5/6W5VCW7ouvH79GtOmTcOhQ4fQunVrHDp0CA0aNMCzhEysuvAQ554kIio1p0jnBQEAx6pG8P3MGld2rYPFgxs4smoS9t98jXNPExGVUszzLY3g62qNwc0c5Zo1V5bK1quuvEQiEWbOnIlZs2bB3d2ddxy1RsVIjfXt2xd16tSBrq5iZ01pk+DgYIhEInTu3Jl3lArJz8/HqlWrsHjxYlSpUgW7d++Gv78/Xqe9xZBt13HpeXKJC+kxAJGpOdh1LQLSOl/CpXFfGOvrYqGfGxbCDdl5BYhIyUZ+gRR6IiFqWRrDWF+xv/K0AmzpaBKD/GiYTo05ODigW7duvGOoNU3uulDSkNyBW9HouOoC/nn5buirrIX0Ch9+laOHjqsuYP/NKACAsb4IbnZmaOxoATc7M4UXokI0VFc6Ly8vKkZyoGKkprKysjBhwgQ8ffqUdxS1lZWVhbNnz2rclO7SZsn9du4ZZv91H3kFUrlXcy0kkTLkFUgx+6/7+O3cMyWl/xjNqiudt7c3IiMjqViXgYqRmrp79y7WrVuHnBz5V/WsbDSt60JZs+T234zC8tOK+fKx/PRTHPjvCEnZaFZd6Xx8fODv74/s7GzeUdQaFSM1RZMXyqZJXRdKmyUHANGpOVhw7KFC9/nDsYeILscS5Z+ChupK5uTkhN9//x2OjhWftVgZUDFSU//++y/q1atHkxdKoCldF8q6cLXQ3MP3UVDOYbmyFEgZ5h6+r9BtloSG6koXHR2Nx48f846h1qgYqanY2FjUqFGDdwy1pe5dF8pz4eqzhExcep5c7nNEZZFIGS49T8bzxEyFbrc4NFRXuunTp2P8+PG8Y6g1lRSjdevWoVatWjAwMICPj0+RteRJ8Xr16oWBAwfyjqG21LnrQllDch/acz2q1AtVC9ITkXJqPWI2f4uo5X0R/esgJB0OQMGbhDKz6AgF+P2aas4d0VBdyWxtbREXF8c7hlpTejE6cOAApk2bhgULFuD27dto2LAhOnfujMTERGXvWqONHDkS/v7+vGOoLXXsuiDvkNyHzj1JLPWoKC/uKfJiHsG4XhtYdByNKo27IjcyHPF750Aqzi112xIpw7mnqvldo6G6ktnZ2SE2NpZ3DLWm9GK0cuVKjBo1CsOHD0f9+vWxceNGGBkZYfv27cretcaSSCQ4deoUkpOTeUdRS4VdF9TlfFF5huQ+lJVXgKgyJhkY1m4Cu2/Wwry1P0wadYFF269h3X8hJBmJyHnyT5n7iErJkbUOUiYaqiuZra0t0tPTaXZsKZRajPLz8xEWFoaOHTv+b4dCITp27IirV69+9Py8vDxkZGQUuVVGiYmJ6NKlS7HvEal414WSert9ivIOyX0oMiUbZZ0pEurqy/7MJAWQvM2AyMIWQn1j5Me/KHMfDEBEimqmFdNQXfHs7e1haWlJ70splDrGkZycDIlEAhsbmyL329jYFDuzJCAgAIsWLVJmJI1QOLZsa2vLOYl6Kk/XhWcJmdhzParM3m7+Po6oYyN/r7aSesmVV35B2Z22peI8ZFw9hKz7IZBkpgDv/RTSPPmKjDz7UQTqVVe89u3b00hHGdRqNt2cOXOQnp4uu0VHR/OOxEXh2LKdnR3nJOpH3q4L0ak5GLLtOj7/9SJ2X49E5AeFCPhfb7fd1yPx+a8XMWTb9TKvy/mUIbni6InK/hVMO7MJ6VcPwqhuK1j1ngXrLxfDeuCPEBqaAky+GXjy7EcRaKiOVJRS/4daWVlBR0cHCQlFZ/0kJCSgevXqHz1fX18fpqamRW6VUVxcHAQCAaytrXlHUTvydF3YfzOqXL3dCh//52VKkd5uxe37U4bkilPL0hhlvTr7yRUYu7dH1Q4jYVy3FQydGsOgRn1Ic7Pk2ofgv/2oCg3VFa9x48bYtGkT7xhqS6nFSE9PD15eXggNDZXdJ5VKERoaqpZTctVJo0aN1GqmmLooq+uCMnq7VXSWnDyM9UVwLGOpb4Hg41/TjLAguRfTc7Q0UlqT1OLQrLriZWRk4NWrV7xjqC2l/w+dNm0ahg4dCm9vbzRt2hS//vorsrOzMXz4cGXvWmONGjUKo0aN4h1D7RR2XRg6dGixjyu6t5uFgQivLx78aHmHTzkSKo7vZ9bYfT2yxOJp6NIE2Q/OQqhvBF0rR+TFPEZuxN13w3Rl0BEK4Ouq2iNsWlaieLa2tjS9uxRKL0ZffvklkpKS8MMPPyA+Ph6NGjXCyZMnP5rUQEhZSuu6oIzebvMOhyNu22qMGzUKCxcuVNoyFf4+jthxNaLEx6t2HA0IhMh+eB5MIoa+fT3YDPwRCQd+KHPbEinD4Gaq74nWv39/TJ48GSkpKbC0tFT5/tURFaPSCRiT8wwoBxkZGTAzM0N6enqlOn/Uvn17NGrUCCtXruQdRa3Mnz8fGzZsQEJCwkdDmEO2Xcc/L1MU21JHKkEjOyMcmdyx7Od+ImXk1xEK0MLZErtH+Chsm/KKj4+Hvb09Nm/eTEdH/xk/fjwuX76M8PBw3lFUSt7PcbWaTUfeyczMpHbzxSip64KyertBqIO78Xkq6e22pE8DiEppCVQRIqEAS/pUbJbfp6JZdR+bPHkytm7dyjuG2qJipIYKCgpo8sIHSuu6UFZvt0IFmclIPrEar3/7GpG/9MbrDSOQcmodmERc4mtU1dvNoaoRFvkpdrmQ//Nzg0MZkyOUiWbVFeXq6oomTZrwjqG2qBipISpGHyut60JZvd0AoCAzBfE7pyHn0UUY1W2Nqh2/RRU3X+RFPQAT55X4OlX2dhvYxBHTO7kqZFszOn2GL5vwXT+HZtUVdebMGSxbtox3DLVFxUgNicViKkYfKKnrgjy93QDgzYWdkGS/gc1XS1G14yiYNO4K8zaDYTdqAwT6pV+Do6rebgAwwbcOlvZtAH2RUK6jvffpCAXQFwmxrG8DjPd1UVJC+dFQXVGXLl3CunXreMdQW1SM1NAff/yByZMn846hNkrruiBPbzfGpMh5dg2GLk2hb1vno8fLmqqtyt5uwLsjpJCpbdHC+d0stLKKUuHjLZwtETK1LfcjovfRUN3/iEQiFBSo5kuNJqJipIbc3d1pieL3lNZ1Qa7ebjnpYHk50K1Ws8IZVNXbrZBDVSPsHuGDM1PaYIhPTdS0NPqoU4MAQE1LIwzxqYmQqW2we4QP13NExaGhuv/R0dGhYlQKGgtSQz/++CPc3d3Ru3dv3lHUQmldF1TVc01V+/lQHRsTLPRzw0K4ITuvABEp2cgvkEJPJEQtS2OVdlaoCLoA9n8kEgkNv5eCjozU0J49e3D58mXeMdRCYdeFknrRydPbTWhkBoG+EcRJkRXKoOrebiUx1hfBzc4MjR0t4GZnpvaFqBAN1b3TsGFDDBo0iHcMtUXFSA2JRCKIxSVPN65MSuu6AMjf282oTjO8fX4DeXHPPnq8rOu+Vd3bTdvQUN07vXr1wooVK3jHUFtUjNQQnej8n6CgIFStWrXUxrq+n1mXeZLfvO3X0DEyQ8Le2UgN2YLMuyfx5vJexG4dB1bKmkA6Aqi8t5u2oVl178THx+PFi7IXQ6ysqBipIV1dXSpG/ymp68L7/H0cy7zOSGRihepfr4DRZy2R/e95pJ7ZhOwHZ2Hg2ACC91ZS/ZCEAdHn91K35U9EQ3XAsmXL4OfnxzuG2qJipIYGDhwIX19f3jG4K63rwvvq2JigtYtVmUdHIjNrWPWYBodJe1BzxmHYj9mKqp3GQqCjW+zzdQRAdbzBkZ0b4eLigi+++AL//PNPmcN65GM0VAfk5eVBV7f4/2uEipFamjZtGgYOHMg7BneldV34kFJ6u+kIcWhGH0RHR2PdunW4f/8+WrZsiebNm+PgwYN09FoONFQHJCYm0oKZpaBipIZiY2Nx48YN3jG4K6nrQnGU2dvNyMgIY8aMwaNHjxAUFARjY2N8+eWXqF27NlasWIH09HSF7ldbVfahuri4ONja2vKOobaoGKmhbdu2lTk0pe1K67pQEmX3dhMKhejRowdCQ0Nx584dtGvXDnPmzEGNGjUwdepUOq9Uhso+VJeTkwM7OzveMdQWFSM1ZGtri6SkpEo9vbu0rgulUVVvt0aNGmHnzp2IiIjApEmTsGvXLjqvVIbKPlR3584dLFmyhHcMtUXFSA3Z2dmBMYaEhATeUbgpretCWVTZ283Ozg4//fQTnVeSU2UfqlP0kvXahIqRGiocV46Li+OchI+yui7IQ9W93ei8knwq61DdkydPUK9ePTx48IB3FPXF1Fh6ejoDwNLT03lHUan4+HhmY2PDzp49yzsKF9euXWMA2MWLFxW63axcMXsQ84bdjkxlD2LesKxcsUK3/6E7d+6wr7/+munq6rIqVaqwKVOmsJcvXyp1n5qgXbt2rHPnzrxjqNSZM2cYAPbixQveUVRO3s9xOjJSQzY2NoiPj6+01xrJ03WhIlTd243OKxWvMg7VxcbGAgDNpisFFSOiduTpuqBJ6LxSUZVxqC4uLg7m5uYwNDTkHUVtUTFSU3369MGkSZN4x1A5ebsuaCI6r/ROZZxVFxsbS9O6y0DFSE1JJBK8fPmSdwyVK0/XBU1F1ytVvqG6sWPHYsOGDbxjqDUqRmrK3t4e0dHRvGOoXHm6LmiDynpeqbIN1dWtWxdt2rThHUOtUTFSU25ubnj8+DHy8/N5R1GZinRd0BaV7bxSZRqqk0qlmDZtGu7fv887ilqjYqSmvLy8kJ+fX6muS6ho1wVtUpnOK1WWobqnT59i1apVlfoidnlQMVJTjRs3xs2bN+Hu7s47isp8StcFbVMZzitVlqG6sLAwAICnpyfnJOqNipGaMjAwgLe3N/T09HhHUQlFdF3QVtp6XqmyDNWFhYXB2dkZVatW5R1FrVExUmN//PEHxo8fzzuGSty8eRMJCQno0aMH7yhqSxvPK1WGobqwsDB4eXnxjqH2qBipsfj4eGzdurVSTGJQVtcFbaRN55Uqw1Bd37594e/vzzuG2hMwNT7Gz8jIgJmZGdLT02Fqaso7jspdvXoVLVq0QFhYmNaPNzdq1AgNGjTA7t27eUfRSHfv3sWqVauwb98+6OvrY+TIkZg0aRKcnJx4RyuTr68v9PX1cfLkSd5RiBLI+zlOR0ZqrGHDhhAKhbIToNpKm7suqIomn1fS5qG6hw8fIjQ0lHcMjUDFSI0ZGRmhfv36Wl+MKkPXBVXRxPNK2jxUt23bNowaNYp3DI1AxUjNLVq0CIMGDeIdQ6kqW9cFVdCk80raPKsuLCwM3t7evGNoBCpGaq5v375o27Yt7xhKU5m7LqiCplyvpI1DdVKpFHfu3KGZdHKiYqTm3r59i7Vr1+Lff//lHUUpqOuC6qjzeSVtHKp7+PAhMjMz6chITlSM1Jyuri4WLlyIffv28Y6iFNR1QfXU8bySug/VTZ06Ff3798euXbuQnJws12vevHmDFi1aoGXLlkpOpyWUveTsp6isy45/aMiQIczDw4N3DIWTSCTMxsaGzZw5k3eUSk0ikbCgoCDWvn17BoA5Ojqy5cuXszdv3qg0x7p165hIJGLJyckq3W9ZCv+fAmAAmEAgYC1atGABAQHswYMHTCqV8o6o1uT9HFdaMXr16hX75ptvWK1atZiBgQFzdnZmP/zwA8vLy5N7G1SM3jl48CADwF69esU7ikJdu3aNAWAXL17kHYX8586dO+zrr79murq6rEqVKmzKlCns5cuXKtl3XFwcEwqFbOvWrSrZn7ykUim7fv06mz9/PmvUqJGsKBXenJyc2KRJk9jp06dln29paWksPDycChVTg2L0999/s2HDhrFTp06xFy9esKNHjzJra2v23Xffyb0NKkbvpKenM11dXbZmzRq5XxMREcGWL1/OVqxYocRkn2bevHmsatWqTCwW845CPhATE8Pmzp3LqlatyoRCIevXrx+7cuWK0j9c27Vrxzp37qzUfXyqqKgotn79eta1a1emr69fpDCZmJiwL774go0YMYIBYImJibzjcse9GBXn559/Zk5OTnI/n4rR/wQEBLBz586V+pzCAuTj4yP75bCxsWEFBQWqCVlODRs2ZIMHD+Ydg5QiOzubbdiwgbm6ujIAzMfHhx04cEBpXyDUdaiuJFlZWezIkSNsxIgRRYbyCm80nKemxWjevHnMy8urxMdzc3NZenq67BYdHU3FqAzFFaDCce22bduydevWsdzcXN4xPxIZGckAsAMHDvCOQuSgqvNKHw7VZeWK2YOYN+x2ZCp7EPOGZeWq71G0RCJh169fZ7Nnz2YCgUCu4bzKQN5ipLLedM+fP4eXlxeWL19e4hXJCxcuxKJFiz66v7L2pnsfYwyHDh2Co6MjbG1t8ccff+DQoUO4fv267DkCgQBt2rTBgAED0LdvX1SvXp1j4tKtX78ekydPRnJyMl3sqmGU3QevZbcvkGPrCdO6zRGVmoP3P6AEAByrGsH3M2v4+ziijo2JQvapSMHBwejZsyfOnj2Lx48fIzg4GKGhocjLy5M9x8TEBJ07d0bPnj3RrVs3WFlZcUysXPL2pit3MZo9ezaWLVtW6nMePXqEunXryv4eExODtm3bol27dti6dWuJr8vLyyvyD5aRkQEHBwcqRgAiIyPRvHlz5OfnF7kwUJMK0Pu6du2K/Px86tulwWJjY7Fu3Tps3LgRb968QZ8+fTBt2jQ0b94cAoGg3NuLTs3B3MP3cel5MphUAoFQp8Tn6ggFkEgZWrtYYUmfBnCoavQpP4pC7d27F1u2bMHZs2dl70N2djZCQkIQFBSE4ODgIqu+CgQCNG/eHD179sTUqVOhr6/PK7pSKK0YJSUllXmVtLOzs2xRuNjYWLRr1w7NmjXDjh07IBTKf2lTZe/aHRkZqfFHQMXJysqCpaUlli1bhilTpvCOQz5RTk4Odu3ahVWrVuHp06fw8fHBtGnT0LdvX4hEIrm2sf9mFBYce4gCKYNEKv9Hko5QAJFQgEV+bhjYxLGiP4JKSaVShIWFISgoCEFBQbh79y4AoEaNGoiKiqpQIVdnSitG5RETEwNfX194eXnh999/h45Oyd90ilMZi1FpBahx48a4ffs2/vzzT/Tt25djyk9z5MgR9OnTB8+fP6eLXbWIVCrFiRMnsGrVKpw9exaOjo6YNGkSRo4cWepQ7G/nnmH56ady7ePNpT1Iv7IPNWcHf/TY9E6umOBbp8L5FSE+Ph5SqRR2dnZyvyY6OhrHjx8HYwxjx45VaB6pVFquAwBl4L6ERExMDNq1awdHR0csX74cSUlJiI+PR3x8vLJ2qbEiIyOxYsUKNGvWDLVq1cL06dNx/fp1CAQCtG3bFr/99htiY2Nx8+ZN2NnZ4fLly7wjfxLquqCdKtIHb//NKLkLUVmWn36KAzejFLKtivrtt9/g4eEBiUQi92scHBwwZswYhRciANi+fTuaN2+OWbNmITMzU+HbVyT5jqEr4MyZM3j+/DmeP3+OGjVqFHlMRXMm1N62bduwZcuWYofg+vfvj379+n00BDdjxgyNG5Z7n1QqxfHjxzF06FDeUYgSFfbBCwgIkJ1XWrNmTZHzSq/T3mLBsYcK3e8Pxx6iRW0rLueQCgoKsGvXLvTu3bvco0CKlpaWhuXLlyM8PBw//PAD8vPzZZ+7EokEQqFQ7YYDaaVXjsaOHYuNGzeWWYC0yfXr19GsWTNcvHgRrVu35h2HqEhx55VM/ObgZbZuuc4RlTZMB7w7h9TC2RK7R/goKrrcjh49it69e6vFyswxMTHo3LkzkpKS4O3tja1bt8LAwAAWFhYqzyLv57jSjoxI2UaOHAl3d/dyF6CHDx/iyJEjmDdvnhLTKUdQUBCqVq2K5s2b845CVKhwfaXRo0fjxIkTWLZhJ55ligCUXIhyox8iLXQr8pMiIDKxhKlPvzL3I5EyXHqejOeJmXCxVu207/Xr18PHx4d7IQIAe3t7ODg4YO7cuahatSoWL16MR48eITExEYsXL4azszMaNWrEO2YR1LWbIy8vL4wfP77cR0KPHz/G/Pnzce/ePSUlU57g4GB069ZN7llWRLsUnlfq8O1CCEsZJcpPjEDigR8gyXkD81ZfwbhBR7y5vAc5T6+WuQ8doQC/X1PtuaOCggJUq1YNkyZNUul+S3L+/HkwxuDi4oKCggIEBwfjxIkTOHDgAK5cuQJPT088fvyYd8wiqBjJQSqVluuEpLL5+fnBzs4OGzZs4B2lXKKiohAeHk5rFxGce5KI0kbn3lz6HQBDdf9lMGveH+YtB6L6oACIk8suMhIpw7mniYoLKweRSITff/8dX331lUr3W5ILFy7A1dUVOjo6OHHiBGbMmAFDQ0O4u7vD3Nwcrq6ucHV15R2zCCpGJQgNDUV+fj6Ad9/mCk9IqsNKlLq6uhg9ejR2796NjIwM3nHkFhwcDJFIhM6dO/OOQjjKyitAVGpOiY8zqQS5r+7AsE4ziMysZffrWjnA0Fm+IbColBxk56lmXaacnBzs3r0bubm5KtmfPE6fPg1XV1e4ubnh3LlzRYYOHz9+DF9fX+5Tvj+kXmk4e/8IqHv37jhz5gyAd1OvZ82aBQ8PD0ycOBG7du3iPiNw5MiRyM3Nxe7du7nmKEl2XgEexqbjTlQaHsamIzuvAEFBQWjTpg21/6nkIlOySzlTBEhzMsAK8qBr8fG1OqKq9nLtgwGISMkuV67Y2FhkZ5fvNQBw4MABDB06FDExMeV+rTLk5OSgR48eaNq0KXR1deHu7o6oqHdHlPfv38eRI0fQr1/Z599UjQbu3/P+N4UBAwbg1KlT6N69O44dOwYXFxfcunULoaGhGDZsGKpVq4auXbtyy2pvb48dO3ao1Yy0ZwmZ2HM9CueeJBbbU0xcqx+8bQ3xLCFTLXuKEdXIL5Cq5X7GjRuHq1evYubMmRgzZgyMjY3let369evRpUsXtbluzsjICHPmzJH9ff78+RgzZgz27t0LU1NTmJmZqeUEIipG70lMTMT333+PjIwMiMVi3Lp1Cy9evMDatWsxceJE+Pv74+XLl/D394e7uzvvuBg8eDDvCACK9hQr7Bn2IQZAZG6Le7nA579eVMueYkQ19ESlD8gIjUwhEOlDnBb70WMFqfIffZS1n/dlZGTg/v37SExMxPTp0/Hzzz/LVZRu3ryJW7duISgoSO59KRtjDFKpFDo6Ojh79izevHmDixcvIjk5GYMHD4afnx+MjY3BGFOra41omO49gYGBEAgEWLRoEYYPH46nT58iPj4eVlZWCAkJwaxZsxAWFoaVK1fCwcEBYrGYd2Rs27aNa3+3/Tej0HHVBfzz8t25tLKuGSl8+J+XKei46gL2c75inqheLUtjlPYRKBDqwMCpMd4+u4aC9P9NRBAnR+Pty9ty7UPw337kZWpqisePH2Pbtm1wcnKSFSVnZ2esWLGixOG79evXo2bNmlxHST4kEAhk57jt7e1x5swZNG3aFH369EGDBg3Uth8kXfT6njp16mDNmjWy/1jffPMNzMzMYG1tjfDwcOzfvx8A8Ndff+Hq1atYsGABqlSpovRcpVmzZg2+++47REZGlqsfliKUp6dYadShpxhRrba/nENkKZMY8hNfIX7XdxAamcHEszsglSAjLAg6RuYQJ0WUeNFroZqWRrgw3bdC2cRiMXbv3o0ff/xR1sLI2tq62COlffv2QSKRqM0oRWmeP38OJycnlXeH4N6bTtPk5eWhQ4cORebet2vXDsePH0fv3r2Rm5sLPz8/eHp6YsOGDXB1dYWBgQHHxO98/fXXMDY2xtKlS1W6X23rKUZUy/cza+iUcqGRnrUTrAf8H3SMzPDm0u/IuncG5q38YeRa9rkOHaEAvq7WZT6vJLq6uvjmm2/w5MmTMo+UBg0apBGFCABcXFy4tykqDR0Z/YcxhsDAQKxevRrh4eEAgF9++QWzZs1CSEgI2rdvjytXrqB27dpq165nyZIlWLhwIZ48eaKwBc5KE52ag46rLiBPgSei9UVChExtS+eQKolnCZn4/NeLStt+yNQ2CuvAUNyRkpWVFezt7fHHH3/AxcVFIfvRVnRkVE4CgQDffPMNnJ2d4efnh1q1aiE/Px/79u1DkyZNAAAtW7ZUu0IEAJMnT4alpSV27typkv3NPXwfBeXoJyaPAinD3MP3FbpNor7q2JigtYtVqUdHFaEjFKC1i5VCWwEVd6SUnJyM8PBwtGjRotRzSkR+dGT0gfz8fISHh8POzg729vJd06AOoqKi4ODgoPTZMfJ+o82NvIe0c9uRnxQp6ysmyUottckloNhvtES9aeoR9sOHD9GgQQNYWFggNTUVQMnnlAgdGVWYnp4emjRpolGFCAAcHR0hEAhw/75yjy72XI8q89tsfvwLJBxcAMnbTJi39kcVj05Iv7IPOc+ulfo6Hj3FCD8OVY2wyM9Nodv8Pz83pQ/1Llq0CDVq1EBERES5Z9+RklEx0iLnz5+Hh4cHLl26pLR9nHuSWOb07TeX90AgFKL64J9h1uwLmLUYABv/pWX2FePRU4zwNbCJI6Z3UkyPtBmdPsOXSl56PC4uDkFBQVi0aBFMTEzknuhAykbFSIu0adMGnp6emD17tlLaFZXVUwz4r69YRPi7vmImlrL7dS3sYOjsVeY+VNlTjKiHCb51sLRvA+iLhOU+h6QjFEBfJMSyvg0w3lf5EwlsbW3x9OlTfP3117L7yjP7jpSMipEWEQqFWLp0Kf755x+lXBFeVk8xAJDkpJfcV8zCtsx9VKSnGNF8A5s4ImRqW7RwfvcFpqyiVPh4C2dLhExtq/QjIgB4+fIlcnJy4ODgUOwU6bKK0tGjR5WeUZNRMdIyHTt2RPv27TF37lyFL3uhrj3FiHZwqGqE3SN8cGZKGwzxqYmalkYfdWoQ4N0FrUN8aiJkahvsHuGjkssBGGMYMGAA/P39y3xuSUXJ0VH5BVOTUW86LSMQCLB06VIcOXIE+fn5MDQ0VNi25en1pWNkBoFIr/i+YmlxCtsP0V51bEyw0M8NC+GG7LwCRKRkI79ACj2RELUsjWGsr/qPrT/++EPWCkxehUVpyJAhOHfuHBo3bqzEhJqPipEWatKkiezaKEUq7ClW2lCdQKgDg5oN3/UVy0yRnTcSp8Xi7cuwMvdR3p5iRLsZ64vgZsd3yZG3b99i7ty56Nq1K9q0aVPu1+vq6qJTp05KSKZdqBhpsVWrViEyMhK//vqrQrZnrC+CY1WjUnuKAYBZa3+83X0H8b/PhEnjrgCTIjMsGLpWNSFOfFnqax0tjbh88yWkJN9//z2io6PVqjO3NqLxEC2mp6eH1atXIzQ0VGHbLKunGADoV3eBdf9F0DGo8q6vWPgZmLUeDMNaDSEQ6ZX4uk/tKUaIMnTt2hXr1q1D3bp1eUeRUeNeBRVGHRi0mFQqRYcOHfDq1Svcv38fJiaf3tngU3qKJf75I8TJkbD/dkuJz6EODERd5OfnQyQSqd3y3IWk0ncTfdQ1XyHqwEAgFAqxfft2JCcnY+bMmQrZprw9xaTivCJ/F6fG4O2LWzBwbFDs85XRU4yQTzF37lz07NlTrY5CkpKS8PPPPyM+Ph5CoRBCoVCt8n0KKkZazsnJCcuWLcPr169RUKCYi0mX9GkAURnFKHbjSKSd34HMuyeRdnE34ndNh0BHBFOffsU+XyQUYEmf4gsVIar2zz//YOXKlWjXrp1arYZamKVHjx6YNGkSMjIyIBAIEBkZiXbt2iEtLY1zwoqjYlQJjBs3DseOHYNIpJiJAfL0FDNw9kL2vxeRemYTMsOCoGdbBzb+S6Fbtfief6roKUaIPN6+fYvhw4fDx8cH06ZN4x1H5vXr1wgNDUW7du1w69Yt5Obm4sKFCwCA1atXo6CgABYWFhCLxbIhPE1C05YqgcJvUydOnMD169exaNGiT97mwCaOSM7KK3GBPavuU+Telip6ihEir++//x6RkZE4evSo2ixGFxERAX9/f7i6uiIiIgIAYGFhgVu3bqFRo0Y4ePAgpk6dCqlUCl1dXb5hK4iOjCqRiIgI/N///R/Onj2rkO1pUk8xQuRVs2ZN/Pzzz2o1e+7Zs2coKChAYGAgzp07h1GjRuHu3bto2rQpAgMDkZmZiezsbNSrVw8zZ87UyCMjmk1XiUilUnTs2BEvX75U2Ow64N26NHMP38el58nQEQpK7epd+HhrFyss6dOAhuaI2mCMqdX5ofddu3YNI0aMwIgRI9C0aVNs3LgRUVFR+P3339GgQQPs27cP3bp1Q1JSEkaMGIG1a9eiZs2avGMDkP9znIpRJfPq1Ss0aNAA/fv3x/bt2xX6y/csIRN7rkfh3NNERKXkFOnUIMC7C1p9Xa0xuJkjzZojamfy5MkwNDTE0qVLeUcp1osXL7Bs2TKYmppi8+bNCAwMxLNnz3Do0CGEhYXJelHa2Njg9OnT8PT05Jz4HXk/x+mcUSXj5OSE9evX46effsKbN29gYWGhsG2rY08xQuSxbds2rFmzBuvWreMdpUS1a9fG5s2b8ebNG5ibm8Pb2xtffvklRo8eDQDQ0dHBjh074OPjAwcHB85py4+OjCqp3NxcGBgY8I5BCHdXrlyBr68vvvnmG2zYsEFth+o+lJmZiR9++AE6OjqwsLBAq1at0L9/f6xYsQJffvkl9PRK7naiSjRMR8r0+vVrfP3119iyZQtq167NOw4hKvf69Wt4eXmhbt26OHPmjNp8gJdHTEwMpk6dChMTE3h6emL8+PG8IxVBw3SkTMbGxnj9+jX8/Pxw9epVKvik0rG0tIS/vz/mzJmjkYUIAOzt7XHw4EEUFBQo7FpCHmhqdyVmYWGBY8eO4fXr1xg8eLBGTgclpCIYY3j16hUMDQ2xcuVKVKtWjXekT6bJhQigYlTp1a1bF/v27UNwcDDmz5/POw4hKrFkyRJ4eHggISGBdxTyH80upUQhunXrhpUrV8LevvhWPYRok6NHj2L+/PlYuHAhbGxseMch/1HJBIa8vDz4+PggPDwcd+7cQaNGjeR6HU1gUD3GGBITE+mXlGilBw8eoHnz5ujcuTMOHjyo9ssvaAO1WkJi5syZsLOzU8WuyCdatmwZvLy8EBcXxzsKIQrFGMPw4cNRu3Zt7Ny5kwqRmlH6v8bff/+N06dPY/ny5creFVGAr7/+GgKBAB07dkRSUhLvOIQojEAgwP79+3H06FEYGxvzjkM+oNRilJCQgFGjRmH37t0wMiq7B1leXh4yMjKK3Ihq2dnZITQ0FCkpKfj888+RmprKOxIhnyQjIwOTJk1CVlYWateurTY920hRSitGjDEMGzYMY8aMgbe3t1yvCQgIgJmZmeymiS0ttIGrqytCQ0MRExNDR7REo2VlZaFbt27YtWuXbOkFop7KXYxmz54NgUBQ6u3x48dYu3YtMjMzMWfOHLm3PWfOHKSnp8tu0dHR5Y1HFMTNzQ1Xr15VyNpHhPDw9u1b+Pn5ITw8HCdPnoS7uzvvSKQU5Z5Nl5SUhJSUlFKf4+zsjAEDBiAoKKhInyeJRAIdHR34+/tj586dZe6LZtOph3/++QdLlizB3r176d+BaISCggJ069YNV65cwcmTJ9G6dWvekSot7r3poqKiipzziY2NRefOnfHHH3/Ax8cHNWrUKHMbVIzUw9WrV9GlSxfUq1cPJ0+ehLm5Oe9IhJRp+fLl8Pb2Rrt27XhHqdS4F6MPRUREwMnJia4z0lBhYWH4/PPPUatWLZw5cwaWlpa8IxHykTdv3iA0NBT9+vXjHYX8R62uMyKaz8vLC+fPn8fr168xYMAA3nEI+UhKSgo6dOiAb7/9FmlpabzjkHJSWTugWrVqQY1XqyBy8PDwwIULF5CXl8c7CiFFREZGokePHkhISEBoaKhCF40kqkFHRqRc6tWrh0aNGiE/Px+9e/dGSEgI70ikkrtz5w68vb2RnZ2NCxcuoGHDhrwjkQqgYkQqJC8vD3l5eejSpQvWrFlDR72EG2dnZ/Tp0wc3b95EvXr1eMchFUTFiFSIiYkJgoODMWXKFEyePBkjR46k4TvyEcYY/vrrL0yfPl2h2xWLxZg1axZevnwJMzMzbN68mSbVaDhaQoJUmI6ODpYvXw4PDw+MGjUKXbp0Qf/+/XnHImrk2bNn6N+/P6RSKXr06KGQadbJyckYMGAALl26BG9vbzg7O396UMIdHRmRT/b111/j0aNHskIUGxvLORFRF66urhgzZgwAYPz48RCLxZ+0vQcPHqBp06a4f/8+QkND6cuPFqFiRBSi8NvpsWPH4OLiggMHDnBORNTFjz/+CCsrK/z7779Ys2ZNhbfz9u1bfP755zAxMcHNmzfRpk0bBaYkvFExIgr1+eefo2/fvhg4cCDmzZsHqVTKOxLhzMLCAsuWLQMALFy4sNxHzowx5Ofnw9DQEH/++SeuXLmCWrVqKSEp4YmKEVEoQ0ND7N69G8uWLUNAQADat2+PxMRE3rEIZ8OGDUOzZs2QlZVVrskMUVFR6Ny5M0aNGgUAaNGiBapUqaKsmIQjKkZE4QQCAWbOnImzZ8/CzMxMZb3s/vrrL7x69Uol+yLlIxQKsW7dOgiFQuzbtw/nz58v9fmMMWzZsgXu7u549OgRvvrqK9UEJdxQMSJK065dOxw9ehR6enoIDw/H559/jhcvXihlX2lpaRgyZAhcXFxw7949peyDfBpPT0+5JjMUFBSga9euGD16NAYMGIAHDx6gc+fOqoxKOKBiRFTi7du3eP78OTw8PLB27VqFn0vavHkzcnJy4O7ujgYNGih020RxSpvMwBiDVCqFSCRCmzZt8Pfff2Pr1q0wMzPjlJaoFFNj6enpDABLT0/nHYUoQGZmJhs3bhwDwNq0acMiIyMVst38/Hxmb2/PALAdO3YoZJtEebZt28YAsCpVqrCYmBjGGGMRERGsY8eObNWqVXzDEYWT93OcjoyIylSpUgXr1q1DaGgosrOzoaenp5DtHjp0CDExMbCxscHAgQMVsk2iPB9OZti8eTMaNGiAx48fUzufSoyKEVG59u3b4+bNm6hevTpSUlLQv39/PHr0qELbYoxhxYoVAIAJEyZAX19fkVGJEnw4meHbb7+lc0OEihHho3A5+tevXyMsLAzu7u4YOXIkoqOjy7WdS5cu4fbt2zAwMJCdHCfqLSUlBZ6envj2228BAI6OjtiwYQOdG6rkqBgRrho2bIhHjx5h5cqVOHr0KOrUqYMtW7bI/fqVK1cCAIYOHQorKytlxSQK8ObNG8ybNw+Ojo44d+4cfvrpJ1hZWSEqKuqTOjMQ7UDFiHCnr6+PyZMn48WLF5g9e7ZsNtyLFy+QnZ1d4uueP3+OY8eOAQCmTJmiiqikAnJzc7F8+XLUrl0bq1atwuTJk9G4cWNYWFjg559/BlCxzgxEy6hmPkXF0Gy6yq1FixasevXqbMOGDSw/P/+jxydMmMAAsG7dunFI9+mkUinLyspiWVlZTCqV8o6jNAEBAUxHR4eNGTOGxcbGFnlMIpGwZs2aMQBs0KBBnBISZZL3c5yKEVFbL1++ZIMHD2YCgYC5uLiw/fv3M4lEwhhjLDU1lRkZGTEALCQkhHPSisnKymIAGACWlZXFO47CSKVS9tdff7H169czxt79Hj99+rTE54eFhTGhUMgAsLNnz6oqJlERmtpNNJ6TkxN2796Nu3fv4rPPPsPEiRORk5MDANi4cSNycnLg4eGB9u3bc05KgHer/+7Zswc+Pj7o27cvzpw5A8YYTE1NUadOnRJf935nhgkTJnzyMhNEM1ExImrPw8MDwcHBePDgAapUqYLo6GjMnz8fADB48GDZzDzCT0pKChwcHDB48GCYmJggJCQEf/31l9z/NopaZoJoLipGRGNYW1sDAIKDgyGVSmUNWbt27Yrjx49zTle5SKVS/P333xg3bhwYY7C0tMScOXPw6NEjhIaGokOHDuXaHk1mIFSMiEZhjGHr1q0AgO+//x6BgYFISUnBzp07AQD5+fm0ZIUSpaSk4JdffkGdOnXQrVs3XL16FUlJSQCAqVOnom7duhXe9tChQyu0zATREqo4gVVRNIGBfOjChQsMADMwMGBJSUmy+7OzsxljjO3bt4/p6uqyr776il26dEk24UEdacoEhsKZflKplNWpU4fp6emxIUOGsKtXryp8FiBNZtA+NIGBaKWSLnI1MjICAHTq1AlLly7FjRs30Lp1a9jb29M5iArIy8vDyZMnMW7cODg6OuLVq1cQCATYsWMHXr9+jV27dqFZs2YKP19HkxkqLypGRGPIc5Fr1apVMW3aNDx58gQXLlyAv7+/7FzTxYsX0atXL2zbtg0JCQmqiq1xRo0aBSsrK3Tt2hUnT57EF198AR0dHQDvVlqtVq2aUvf/448/wtnZGSNGjFDqfoh6EfEOQIi8Vq9eDcYYunXrVua5CaFQiDZt2qBNmzay+8RiMVJSUmRLWPv4+GDMmDEYOnSoUnOrK8YYnjx5gmPHjuH48eM4cuQILCwsULNmTcydOxd+fn6oX7++ymcrWlhY4MmTJxCJ6OOpMqF/baIR0tLSsH37dgDAtGnTKrSNDh06oEOHDkhKSsKJEydw7NgxxMfHAwAeP36MVatWwcvLC15eXmjQoIHClrhQFxKJRHaEM2vWLBw+fBjPnj2DoaEhOnXqhLS0NFhYWMimzfNEhajyoX9xohEKV3JVxEWu1apVw9ChQ4scEUVERODq1avYunUrpFIpdHV10a9fP+zbtw+MMdy9exdubm4aU6AkEgnu3buHsLAw2e3p06dISkqCrq4ukpKS0K5dO6xcuRIdOnSAoaEh78ikkqNiRNSeWCzG2rVrAbw7KlLGsFGXLl3QpUsX5OTkIDw8HGFhYTAwMADwbpkLT09P6OrqokGDBvDy8oK3tzdGjRoFgUCAt2/fwsDAQOXDWYwxZGZmIi4uDrGxsXjx4gUkEgm+/fZbZGZmwtPTE0KhEPXq1YOXlxcGDx4MsVgMXV1d2VEmIepCwBhjvEOUJCMjA2ZmZkhPT4epqSnvOISTvXv3wt/fHzY2NoiMjFT5Anr5+fm4ffs2wsLCcOvWLYSFhSEmJgYpKSkAADc3N0RERMDW1ha2traws7PD7Nmz0bhxYzx+/BivX7+GnZ0dTE1NIRKJYGxsDBMTE2RmZsr+XyckJEBfXx9isRgFBQWwsrKCSCTC3bt38eDBA8TGxiIuLg5xcXHo27cvBgwYgMOHD6Nv376ynEKhEB07dsSpU6cAADdv3kT9+vVhbGys0veLkPfJ+zlOR0ZErTE1WMlVT08PzZo1Q7NmzWT35efny/78008/4dWrV7JiERsbC6lUCgDYuXMnli5dWmR7w4cPx/bt2/HkyRPZfTY2NkWe8+jRI9StWxerV6/Gjh07YGpqCjs7O9ja2qKgoAAA0LRpU+zbt092v729vWyKOwA0adJEcW8CIUpGR0ZErd24cQM+Pj4wMDBAdHS0xi2g9/btW1mBys7Ohlgshr29PRo3boyYmBjUqFEDABAYGIgqVapAJBJBJBKhbdu2MDExQVpaGvT19YsUGUI0ibyf41SMiFpjjOHSpUt49OiRbJlqbZGdnY0qVaoAALKysmg4jWglGqYjWkEgEHx0vRAhRPtQBwZCCCHcUTEihBDCHRUjQggh3Cm1GB0/fhw+Pj4wNDSEhYUFevfurczdEUIILl++zDsCqQClTWD4888/MWrUKCxZsgTt27dHQUEBHjx4oKzdEUIqudjYWPTo0QOZmZm4du0aqlatSkvSaxClHBkVFBRg8uTJ+OWXXzBmzBi4urqifv36GDBggDJ2RwipxMRiMWbPno0aNWrA19cXz549g6WlJRUiDaOUYnT79m3ExMRAKBSicePGsLW1RdeuXcs8MsrLy0NGRkaRGyGElOT06dMwMzNDREQEAgICkJmZKWuHJJFIOKcj5aGUYvTy5UsAwMKFCzF//nwEBwfDwsIC7dq1Q2pqaomvCwgIgJmZmezm4OCgjHiEEA1XUFCAhg0bomvXrti3bx/279+PWbNmoV+/fpg3bx4AyJbLIJqhXMVo9uzZEAgEpd4eP34s68s1b9489OvXD15eXggMDIRAIMChQ4dK3P6cOXOQnp4uu0VHR3/aT0cI0UoikQjz5s3D7Nmz0atXL9n92dnZcHFxQW5uLsd0pCLKNYHhu+++w7Bhw0p9jrOzM+Li4gAA9evXl92vr68PZ2dnREVFlfhafX19Lo0wCSGaZ8CAAfj555/Ro0cP1K9fH3v37kVgYCCGDx8uW/6DaI5yFaNq1aqhWrVqZT7Py8sL+vr6ePLkCVq1agXg3UnGiIgI1KxZs2JJCdEyRkZGyMrKkv2ZlN+MGTOwePFiXL9+HX5+fhg9ejRGjhyJgoICWi1WwyitUeqUKVPwxx9/YPv27ahZsyZ++eUXBAUF4fHjx7CwsJBrG9QolRBSlqSkJCQnJ8PBwQGXL1/GtWvXsHPnTnz11Vfw8/ODj49PkSXXiWpxb5T6yy+/QCQSYciQIXj79i18fHxw9uxZuQsRIYTIo3DE5tatW1i6dCnq1q2LdevWITY2FjNmzMDFixepEGkAWkKCqNzbt2+hp6dHHxBEoebPn4/s7GysWrVKdl+fPn3Qvn17TJw4kWOyyk3ez3HqTUdUbsaMGdi+fTtevHgBsVjMOw7REo8ePUL79u0BAJmZmQCA5cuXo2bNmlDj79zkP1SMiEoVrnT6+++/Y9q0aVi6dCkePnyIt2/f8o5GNNygQYOwfPlyAICJiQkAoGbNmujevTt1Y9AANExHuNi5cyd27dqFR48ewdraGu3atUP//v1Rt25dWFpa8o5HNNSwYcPwxRdfoEuXLjSbTk3QMB1RW9nZ2Vi7di22b9+O2NhYbNiwARcuXECnTp1w5coV3vGIBvvtt9/g7e1NhUgDUTEiKnf69GmYm5ujZs2akEgkaN68OQ4ePIju3bujWbNmvOMRDValShVUr16ddwxSAVSMiMo1adIEubm52LVrl2xG3alTp1CtWjVYW1tzTkcI4YHOGRGVKLzo8OrVq0hNTUVUVBS2bNkCAPD09ER4eDhWrlyJ1q1bc05KCFEkOmdE1ErhEdCsWbMgkUgwduxYHDlyBDNnzoSVlRUOHDhAhYiQSozO8hGlY4xBIBDg1q1bEIvF8PPzA2MMDg4OGDhwIMRisWwqLiGkcqIjI6J0hdd4ZGVlwd3dXXafQCDAnTt3sGLFCrka8BJCtBcVI6IyDRs2xIULFzBkyBDcunUL2dnZWL58OYYOHco7GiGEMypGRGUsLCwQGhoKGxsbTJgwAV5eXrCzs8O4ceN4RyOEcEaz6YjK5eTkID8/H6mpqXB2duYdhxCiRNyXkCCkJEZGRjAyMoK5uTnvKIQQNUHDdIQQQrijYkQIIYQ7GqYjhLM3b97gn3/+gUAgQIsWLWBmZsY7EiEqR8WIEI7u3r2L7t27w8nJCQ8ePICzszM2b94Mb29v3tEIUSkapiOEo++++w67du3C5cuX4ezsjL///huzZs3iHYsQlaNiRAhHqamp6NChA4B3bZNsbGxkS2YTUplQMSKEo/z8/CJ/T0lJgUQi4ZSGEH6oGBHCUc2aNREeHg7g3UQGT09PzJkzh3MqQlSPihEhHB0+fBj169cHAGzfvh3Xrl3DgQMHOKciRPVoNh0hHNWrVw8fduSKjY1F/fr1MXnyZHz77beckhGiWlSMCOHoyJEjRf4uEAgwYMAABAYGYtiwYVSMSKVBxYgQjjw8PD66r0GDBvDx8YGhoSGHRITwQV27CVFTaWlpsLCw4B2DkE8i7+c4TWAgRE1RISKVCRUjQggh3FExIoQQwh0VI0IIIdxRMSKEEMIdFSNCCCHcUTEihBDCHRUjQggh3FExIoQQwh0VI0IIIdwprRg9ffoUvXr1gpWVFUxNTdGqVSucO3dOWbsjhBCiwZRWjHr06IGCggKcPXsWYWFhaNiwIXr06IH4+Hhl7ZIQQoiGUkoxSk5OxrNnzzB79mx4eHigTp06WLp0KXJycvDgwQNl7JIQQogGU0oxsrS0xGeffYZdu3YhOzsbBQUF2LRpE6ytreHl5VXi6/Ly8pCRkVHkRgghRPspZT0jgUCAkJAQ9O7dGyYmJhAKhbC2tsbJkydL7UQcEBCARYsWKSMSIYQQNVauI6PZs2dDIBCUenv8+DEYYxg/fjysra1x6dIl3LhxA71790bPnj0RFxdX4vbnzJmD9PR02S06OvqTf0BCCCHqr1yL6yUlJSElJaXU5zg7O+PSpUvo1KkT0tLSiiymVKdOHYwYMQKzZ8+Wa3/p6ekwNzdHdHQ0La5HCCEaKCMjAw4ODnjz5g3MzMxKfF65humqVauGatWqlfm8nJwcAIBQWPTASygUQiqVyr2/zMxMAICDg0M5UhJCCFE3mZmZiitG8mrevDksLCwwdOhQ/PDDDzA0NMSWLVvw6tUrdO/eXe7t2NnZITo6GiYmJhAIBMqIWmGF1V6Tj9o0/WfQ9PwA/QzqQNPzA+r9MzDGkJmZCTs7u1Kfp5RiZGVlhZMnT2LevHlo3749xGIx3NzccPToUTRs2FDu7QiFQtSoUUMZERXG1NRU7f7xy0vTfwZNzw/Qz6AOND0/oL4/Q2lHRIWUUowAwNvbG6dOnVLW5gkhhGgR6k1HCCGEOypGFaSvr48FCxZAX1+fd5QK0/SfQdPzA/QzqANNzw9ox89QrqndhBBCiDLQkREhhBDuqBgRQgjhjooRIYQQ7qgYEUII4Y6KkQIdP34cPj4+MDQ0hIWFBXr37s07Urnl5eWhUaNGEAgEuHv3Lu84couIiMCIESPg5OQEQ0ND1K5dGwsWLEB+fj7vaKVat24datWqBQMDA/j4+ODGjRu8I8klICAATZo0gYmJCaytrdG7d288efKEd6wKW7p0KQQCAaZMmcI7SrnExMRg8ODBsLS0hKGhIRo0aIBbt27xjlUhVIwU5M8//8SQIUMwfPhwhIeH48qVK/jqq694xyq3mTNnltm2Qx09fvwYUqkUmzZtwsOHD7Fq1Sps3LgRc+fO5R2tRAcOHMC0adOwYMEC3L59Gw0bNkTnzp2RmJjIO1qZLly4gPHjx+PatWs4c+YMxGIxOnXqhOzsbN7Ryu3mzZvYtGkTPDw8eEcpl7S0NLRs2RK6urr4+++/8e+//2LFihWlLtOj1hj5ZGKxmNnb27OtW7fyjvJJTpw4werWrcsePnzIALA7d+7wjvRJfv75Z+bk5MQ7RomaNm3Kxo8fL/u7RCJhdnZ2LCAggGOqiklMTGQA2IULF3hHKZfMzExWp04ddubMGda2bVs2efJk3pHkNmvWLNaqVSveMRSGjowU4Pbt24iJiYFQKETjxo1ha2uLrl27atQS6wkJCRg1ahR2794NIyMj3nEUIj09HVWrVuUdo1j5+fkICwtDx44dZfcJhUJ07NgRV69e5ZisYtLT0wFAbd/vkowfPx7du3cv8u+gKY4dOwZvb2/0798f1tbWaNy4MbZs2cI7VoVRMVKAly9fAgAWLlyI+fPnIzg4GBYWFmjXrh1SU1M5pysbYwzDhg3DmDFj4O3tzTuOQjx//hxr167Ft99+yztKsZKTkyGRSGBjY1PkfhsbG8THx3NKVTFSqRRTpkxBy5Yt4e7uzjuO3Pbv34/bt28jICCAd5QKefnyJTZs2IA6derg1KlTGDt2LCZNmoSdO3fyjlYhVIxKIe/KtoVrNM2bNw/9+vWDl5cXAgMDIRAIcOjQIbXPv3btWmRmZmLOnDncspZE3p/hfTExMejSpQv69++PUaNGcUpeeYwfPx4PHjzA/v37eUeRW3R0NCZPnow9e/bAwMCAd5wKkUql8PT0xJIlS9C4cWOMHj0ao0aNwsaNG3lHqxClde3WBt999x2GDRtW6nOcnZ1lS6nXr19fdr++vj6cnZ0RFRWlzIilkjf/2bNncfXq1Y/6Wnl7e8Pf35/rNy15f4ZCsbGx8PX1RYsWLbB582Ylp6s4Kysr6OjoICEhocj9CQkJqF69OqdU5TdhwgQEBwfj4sWLar/cy/vCwsKQmJgIT09P2X0SiQQXL17Eb7/9hry8POjo6HBMWDZbW9sinzkAUK9ePfz555+cEn0aKkalkHdlWy8vL+jr6+PJkydo1aoVAEAsFiMiIgI1a9ZUdswSyZt/zZo1+PHHH2V/j42NRefOnXHgwAH4+PgoM2KZ5P0ZgHdHRL6+vrIj0w9XGlYnenp68PLyQmhoqOwSAKlUitDQUEyYMIFvODkwxjBx4kQcPnwY58+fh5OTE+9I5dKhQwfcv3+/yH3Dhw9H3bp1MWvWLLUvRADQsmXLj6bTP336lOtnzifhPYNCW0yePJnZ29uzU6dOscePH7MRI0Ywa2trlpqayjtaub169UrjZtO9fv2aubi4sA4dOrDXr1+zuLg42U1d7d+/n+nr67MdO3awf//9l40ePZqZm5uz+Ph43tHKNHbsWGZmZsbOnz9f5L3OycnhHa3CNG023Y0bN5hIJGI//fQTe/bsGduzZw8zMjJiv//+O+9oFULFSEHy8/PZd999x6ytrZmJiQnr2LEje/DgAe9YFaKJxSgwMJABKPamztauXcscHR2Znp4ea9q0Kbt27RrvSHIp6b0ODAzkHa3CNK0YMcZYUFAQc3d3Z/r6+qxu3bps8+bNvCNVGC0hQQghhDv1HVQnhBBSaVAxIoQQwh0VI0IIIdxRMSKEEMIdFSNCCCHcUTEihBDCHRUjQggh3FExIoQQwh0VI0IIIdxRMSKEEMIdFSNCCCHcUTEihBDC3f8D7VeErDGI3eYAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Recreating the sprial example from Arya \n",
+    "\n",
+    "# Create the graph\n",
+    "Spiral = EmbeddedGraph()\n",
+    "Spiral.add_node('a', .5, 0)\n",
+    "Spiral.add_node('b', 1, 1)\n",
+    "Spiral.add_node('c', -1.5, -.5)\n",
+    "Spiral.add_node('d', 3, -2.5)\n",
+    "Spiral.add_node('e',1.5,2)\n",
+    "Spiral.add_node('f',-1.5,2)\n",
+    "Spiral.add_node('g', -3,-3)\n",
+    "\n",
+    "nodelist = list(Spiral.nodes())\n",
+    "nodelist.sort()\n",
+    "for i in range(len(nodelist)-1):\n",
+    "    Spiral.add_edge(nodelist[i], nodelist[i+1])\n",
+    "\n",
+    "Spiral.plot(angle_labels_circle=True, edges_only=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Spiral.plot(angle_labels_circle=True, edges_only=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Angle</th>\n",
+       "      <th>Swapped Verts</th>\n",
+       "      <th>Sorted list</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>gcfabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>gcfabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>gcfadbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.79</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>gcdafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.15</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>gcdafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>gdcafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>gdcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>gdcabef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>dgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>dgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.27</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>dgabecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>dagbecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>dabgecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>dabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>dabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.68</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>debacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>debacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>3.14</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>debacfg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>3.46</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>debafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>edbafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>ebfadcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>ebfadcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.33</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>ebfacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>4.71</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>efbacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.79</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>febacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.96</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>febcagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>5.25</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>febcagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>fcebagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>5.42</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>fcebagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>5.50</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>fcegbad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>5.55</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>fcegbad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>5.74</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>fcgebad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>fgcabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.99</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>fgcabed</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Angle             Swapped Verts Sorted list\n",
+       "0    0.00                  [(c, f)]     gcfabed\n",
+       "1    0.32                  [(d, e)]     gcfabed\n",
+       "2    0.52                  [(b, d)]     gcfadbe\n",
+       "3    0.79  [(a, d), (f, a), (f, d)]     gcdafbe\n",
+       "4    1.15                  [(c, d)]     gcdafbe\n",
+       "5    1.19                  [(b, f)]     gdcafbe\n",
+       "6    1.57                  [(e, f)]     gdcabfe\n",
+       "7    1.65                  [(d, g)]     gdcabef\n",
+       "8    1.82                  [(a, c)]     dgacbef\n",
+       "9    2.11                  [(b, c)]     dgacbef\n",
+       "10   2.27                  [(c, e)]     dgabecf\n",
+       "11   2.28                  [(a, g)]     dagbecf\n",
+       "12   2.36                  [(b, g)]     dabgecf\n",
+       "13   2.41                  [(e, g)]     dabegcf\n",
+       "14   2.60                  [(c, g)]     dabegcf\n",
+       "15   2.68  [(a, b), (a, e), (b, e)]     debacgf\n",
+       "16   2.85                  [(f, g)]     debacgf\n",
+       "17   3.14                  [(c, f)]     debacfg\n",
+       "18   3.46                  [(d, e)]     debafcg\n",
+       "19   3.66                  [(b, d)]     edbafcg\n",
+       "20   3.93  [(a, d), (f, a), (f, d)]     ebfadcg\n",
+       "21   4.29                  [(c, d)]     ebfadcg\n",
+       "22   4.33                  [(b, f)]     ebfacdg\n",
+       "23   4.71                  [(e, f)]     efbacdg\n",
+       "24   4.79                  [(d, g)]     febacdg\n",
+       "25   4.96                  [(a, c)]     febcagd\n",
+       "26   5.25                  [(b, c)]     febcagd\n",
+       "27   5.41                  [(c, e)]     fcebagd\n",
+       "28   5.42                  [(a, g)]     fcebagd\n",
+       "29   5.50                  [(b, g)]     fcegbad\n",
+       "30   5.55                  [(e, g)]     fcegbad\n",
+       "31   5.74                  [(c, g)]     fcgebad\n",
+       "32   5.82  [(a, b), (a, e), (b, e)]     fgcabed\n",
+       "33   5.99                  [(f, g)]     fgcabed"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = Spiral.get_all_angles('dict', num_rounding_digits=2, opposites = True)\n",
+    "keys = list(All_Angles.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns = ['Angle', 'Swapped Verts', 'Sorted list'])\n",
+    "pd_table['Angle'] = keys\n",
+    "pd_table['Swapped Verts'] = [All_Angles[key] for key in keys]\n",
+    "\n",
+    "\n",
+    "\n",
+    "pd_table.sort_values(by='Angle', inplace=True)\n",
+    "pd_table['Sorted list'] = [''.join(Spiral.sort_vertices(key)) for key in keys]\n",
+    "pd_table.head(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys([5.82, 1.82, 3.93, 2.28, 2.11, 3.66, 1.19, 2.36, 4.29, 5.41, 0.0, 2.6, 0.32, 1.65, 1.57, 2.41, 2.85, 2.68, 4.96, 0.79, 5.42, 5.25, 0.52, 4.33, 5.5, 1.15, 2.27, 3.14, 5.74, 3.46, 4.79, 4.71, 5.55, 5.99])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>angle</th>\n",
+       "      <th>vertex_pair(s)_swapped</th>\n",
+       "      <th>sorted_order_at_next_midpoint</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>[g, c, f, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>[g, c, f, a, d, b, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.04</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>[g, c, d, a, f, b, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>[g, d, c, a, b, f, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>[g, d, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>[d, g, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.73</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>[d, g, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>[d, g, a, c, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>[d, g, a, b, c, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2.24</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>[d, g, a, b, c, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>[d, a, g, b, e, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>[d, a, b, g, e, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.49</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>[d, e, b, a, c, g, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>[d, e, b, a, c, f, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>3.02</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>[d, e, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>3.37</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>[e, d, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>3.59</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>[e, d, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>[e, b, d, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>[e, b, f, a, d, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>4.47</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.50</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.59</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>4.72</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>[f, e, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>4.87</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>[f, e, b, c, a, g, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>[f, c, e, b, g, a, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>5.47</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>[f, c, g, e, b, a, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>[g, f, c, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>6.26</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>[g, f, c, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    angle    vertex_pair(s)_swapped sorted_order_at_next_midpoint\n",
+       "0    0.00                  [(c, f)]         [g, c, f, a, b, e, d]\n",
+       "1    0.32                  [(d, e)]         [g, c, f, a, d, b, e]\n",
+       "2    1.04                  [(b, f)]         [g, c, d, a, f, b, e]\n",
+       "3    1.19                  [(b, f)]         [g, d, c, a, b, f, e]\n",
+       "4    1.57                  [(e, f)]         [g, d, c, a, b, e, f]\n",
+       "5    1.65                  [(d, g)]         [d, g, c, a, b, e, f]\n",
+       "6    1.73                  [(c, e)]         [d, g, c, a, b, e, f]\n",
+       "7    1.82                  [(a, c)]         [d, g, a, c, b, e, f]\n",
+       "8    2.11                  [(b, c)]         [d, g, a, b, c, e, f]\n",
+       "9    2.24                  [(e, f)]         [d, g, a, b, c, e, f]\n",
+       "10   2.28                  [(a, g)]         [d, a, g, b, e, c, f]\n",
+       "11   2.36                  [(b, g)]         [d, a, b, g, e, c, f]\n",
+       "12   2.41                  [(e, g)]         [d, a, b, e, g, c, f]\n",
+       "13   2.49                  [(d, g)]         [d, a, b, e, g, c, f]\n",
+       "14   2.52                  [(b, d)]         [d, a, b, e, g, c, f]\n",
+       "15   2.60                  [(c, g)]         [d, e, b, a, c, g, f]\n",
+       "16   2.85                  [(f, g)]         [d, e, b, a, c, f, g]\n",
+       "17   3.02                  [(a, c)]         [d, e, b, a, f, c, g]\n",
+       "18   3.37  [(a, d), (f, a), (f, d)]         [e, d, b, a, f, c, g]\n",
+       "19   3.59                  [(c, f)]         [e, d, b, a, f, c, g]\n",
+       "20   3.66                  [(b, d)]         [e, b, d, a, f, c, g]\n",
+       "21   3.93                  [(b, c)]         [e, b, f, a, d, c, g]\n",
+       "22   4.29                  [(c, d)]         [e, f, b, a, c, d, g]\n",
+       "23   4.47                  [(a, g)]         [e, f, b, a, c, d, g]\n",
+       "24   4.50                  [(c, d)]         [e, f, b, a, c, d, g]\n",
+       "25   4.59                  [(d, e)]         [e, f, b, a, c, d, g]\n",
+       "26   4.72                  [(b, g)]         [f, e, b, a, c, d, g]\n",
+       "27   4.87                  [(e, g)]         [f, e, b, c, a, g, d]\n",
+       "28   5.41                  [(c, e)]         [f, c, e, b, g, a, d]\n",
+       "29   5.47                  [(c, g)]         [f, c, g, e, b, a, d]\n",
+       "30   5.82  [(a, b), (a, e), (b, e)]         [g, f, c, a, b, e, d]\n",
+       "31   6.26                  [(f, g)]         [g, f, c, a, b, e, d]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = Spiral.get_all_angles('dict', num_rounding_digits=2)\n",
+    "\n",
+    "# add pi + angle for all angles \n",
+    "All_Angles_2pi = {}\n",
+    "for key in All_Angles.keys():\n",
+    "    All_Angles_2pi[round(key,2)] = All_Angles[key]\n",
+    "    other_key = (key + np.pi) % 2*np.pi\n",
+    "    other_key = round(other_key, 2)\n",
+    "    All_Angles_2pi[other_key] = All_Angles[key]\n",
+    "\n",
+    "keys = list(All_Angles_2pi.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns=['angle', 'vertex_pair(s)_swapped', 'sorted_order_at_next_midpoint'])\n",
+    "pd_table['angle'] = keys\n",
+    "pd_table['vertex_pair(s)_swapped'] = [All_Angles_2pi[key] for key in keys]\n",
+    "\n",
+    "# sort the vertex pairs at the midpoint\n",
+    "\n",
+    "for i in range(len(keys)-1):\n",
+    "    angle = np.average([keys[i], keys[i+1]])\n",
+    "    sorted_order = Spiral.sort_vertices(angle)\n",
+    "    pd_table.at[i, 'sorted_order_at_next_midpoint'] = sorted_order\n",
+    "\n",
+    "angle = np.average([keys[-1], keys[0]+2*np.pi])\n",
+    "sorted_order = Spiral.sort_vertices(angle)\n",
+    "pd_table.at[len(keys)-1, 'sorted_order_at_next_midpoint'] = sorted_order\n",
+    "\n",
+    "pd_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['a', 'b', 'c', 'd', 'e', 'f', 'g']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nodelist"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Modified version breaking the spiral"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Modified version with vertex added between C and D\n",
+    "\n",
+    "# Create the graph\n",
+    "G = EmbeddedGraph()\n",
+    "G.add_node('a', .5, 0)\n",
+    "G.add_node('b', 1, 1)\n",
+    "G.add_node('c', -1.5, -.5)\n",
+    "G.add_node('X', 1.5, -1)\n",
+    "G.add_node('d', 3, -2.5)\n",
+    "G.add_node('e',1.5,2)\n",
+    "G.add_node('f',-1.5,2)\n",
+    "G.add_node('g', -3,-3)\n",
+    "\n",
+    "nodelist = ['a', 'b', 'c','X',  'd', 'e', 'f', 'g']\n",
+    "for i in range(len(nodelist)-1):\n",
+    "    G.add_edge(nodelist[i], nodelist[i+1])\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(angle_labels_circle=True, edges_only=True, ax = ax)\n",
+    "# remove axes \n",
+    "ax.set_axis_off()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.colorbar.Colorbar at 0x30be90c90>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 480x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.matshow(G.get_all_angles()[0])\n",
+    "plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Angle</th>\n",
+       "      <th>Swapped Verts</th>\n",
+       "      <th>Sorted list</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f), (X, e)]</td>\n",
+       "      <td>gcfabXed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.25</td>\n",
+       "      <td>[(b, X)]</td>\n",
+       "      <td>gcfaXbed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>gcfaXbed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>gcfaXdbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.79</td>\n",
+       "      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>\n",
+       "      <td>gcdXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.15</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>gcdXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>gdcXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.41</td>\n",
+       "      <td>[(c, X)]</td>\n",
+       "      <td>gdXcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>gdXcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>gdXcabef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>dgXacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.99</td>\n",
+       "      <td>[(X, g)]</td>\n",
+       "      <td>dXgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>dXgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.27</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>dXgabecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>dXagbecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>dXabgecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>dXabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>dXabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2.68</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>dXebacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>dXebacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.14</td>\n",
+       "      <td>[(c, f), (X, e)]</td>\n",
+       "      <td>dXebacfg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>3.39</td>\n",
+       "      <td>[(b, X)]</td>\n",
+       "      <td>debXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>3.46</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>debXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>edbXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>\n",
+       "      <td>ebfaXdcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>ebfaXdcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>4.33</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>ebfaXcdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>4.55</td>\n",
+       "      <td>[(c, X)]</td>\n",
+       "      <td>efbacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>4.71</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>efbacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>4.79</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>febacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>4.96</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>febcaXgd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>5.13</td>\n",
+       "      <td>[(X, g)]</td>\n",
+       "      <td>febcaXgd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.25</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>febcagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>fcebagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>5.42</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>fcebagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>5.50</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>fcegbaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>5.55</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>fcegbaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>5.74</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>fcgebaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>fgcabeXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>5.99</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>fgcabeXd</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Angle                                     Swapped Verts Sorted list\n",
+       "0    0.00                                  [(c, f), (X, e)]    gcfabXed\n",
+       "1    0.25                                          [(b, X)]    gcfaXbed\n",
+       "2    0.32                                          [(d, e)]    gcfaXbed\n",
+       "3    0.52                                          [(b, d)]    gcfaXdbe\n",
+       "4    0.79  [(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]    gcdXafbe\n",
+       "5    1.15                                          [(c, d)]    gcdXafbe\n",
+       "6    1.19                                          [(b, f)]    gdcXafbe\n",
+       "7    1.41                                          [(c, X)]    gdXcabfe\n",
+       "8    1.57                                          [(e, f)]    gdXcabfe\n",
+       "9    1.65                                          [(d, g)]    gdXcabef\n",
+       "10   1.82                                          [(a, c)]    dgXacbef\n",
+       "11   1.99                                          [(X, g)]    dXgacbef\n",
+       "12   2.11                                          [(b, c)]    dXgacbef\n",
+       "13   2.27                                          [(c, e)]    dXgabecf\n",
+       "14   2.28                                          [(a, g)]    dXagbecf\n",
+       "15   2.36                                          [(b, g)]    dXabgecf\n",
+       "16   2.41                                          [(e, g)]    dXabegcf\n",
+       "17   2.60                                          [(c, g)]    dXabegcf\n",
+       "18   2.68                          [(a, b), (a, e), (b, e)]    dXebacgf\n",
+       "19   2.85                                          [(f, g)]    dXebacgf\n",
+       "20   3.14                                  [(c, f), (X, e)]    dXebacfg\n",
+       "21   3.39                                          [(b, X)]    debXafcg\n",
+       "22   3.46                                          [(d, e)]    debXafcg\n",
+       "23   3.66                                          [(b, d)]    edbXafcg\n",
+       "24   3.93  [(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]    ebfaXdcg\n",
+       "25   4.29                                          [(c, d)]    ebfaXdcg\n",
+       "26   4.33                                          [(b, f)]    ebfaXcdg\n",
+       "27   4.55                                          [(c, X)]    efbacXdg\n",
+       "28   4.71                                          [(e, f)]    efbacXdg\n",
+       "29   4.79                                          [(d, g)]    febacXdg\n",
+       "30   4.96                                          [(a, c)]    febcaXgd\n",
+       "31   5.13                                          [(X, g)]    febcaXgd\n",
+       "32   5.25                                          [(b, c)]    febcagXd\n",
+       "33   5.41                                          [(c, e)]    fcebagXd\n",
+       "34   5.42                                          [(a, g)]    fcebagXd\n",
+       "35   5.50                                          [(b, g)]    fcegbaXd\n",
+       "36   5.55                                          [(e, g)]    fcegbaXd\n",
+       "37   5.74                                          [(c, g)]    fcgebaXd\n",
+       "38   5.82                          [(a, b), (a, e), (b, e)]    fgcabeXd\n",
+       "39   5.99                                          [(f, g)]    fgcabeXd"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = G.get_all_angles('dict', num_rounding_digits=2, opposites = True)\n",
+    "keys = list(All_Angles.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns = ['Angle', 'Swapped Verts', 'Sorted list'])\n",
+    "pd_table['Angle'] = keys\n",
+    "pd_table['Swapped Verts'] = [All_Angles[key] for key in keys]\n",
+    "\n",
+    "\n",
+    "\n",
+    "pd_table.sort_values(by='Angle', inplace=True)\n",
+    "pd_table['Sorted list'] = [''.join(G.sort_vertices(key)) for key in keys]\n",
+    "pd_table.head(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/_sources/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb.txt b/docs/_sources/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb.txt
index f748910..c19d638 100644
--- a/docs/_sources/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb.txt
+++ b/docs/_sources/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb.txt
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -37,7 +37,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -64,7 +64,7 @@
     "\n",
     "K.add_face(['A', 'B', 'C', 'D'])\n",
     "\n",
-    "K.set_centered_coordinates(type = 'min_max')\n",
+    "K.set_centered_coordinates()\n",
     "K.plot()"
    ]
   },
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -86,7 +86,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -102,7 +102,7 @@
     }
    ],
    "source": [
-    "K = create_example_cw()\n",
+    "K = create_example_cw(centered = True)\n",
     "K.plot(bounding_circle=True)"
    ]
   },
@@ -115,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -124,7 +124,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +223,7 @@
        "       -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1])"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -242,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -269,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -284,7 +284,7 @@
        "       [ 0.,  0.,  0., ..., -1., -1., -1.]])"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -338,7 +338,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
diff --git a/docs/_sources/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb.txt b/docs/_sources/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb.txt
index 8c284b7..0ba510f 100644
--- a/docs/_sources/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb.txt
+++ b/docs/_sources/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb.txt
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -42,13 +42,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
        "{'A': (1, 2), 'B': (3, 4), 'C': (5, 7), 'D': (3, 6), 'E': (4, 3), 'F': (4, 5)}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -133,13 +133,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -163,14 +163,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The radius of bounding circle centered at the origin is 3.4197140881138655\n"
+      "The radius of bounding circle centered at the origin is 3.2015621187164243\n"
      ]
     },
     {
@@ -179,13 +179,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -212,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -224,7 +224,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAckAAAGiCAYAAACMDD3oAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAABsEElEQVR4nO3deVxU1fsH8M/MAMOi7LIZqAjihhsqaZmZpKhltophLpmWZWWaC35dUsv9Z35Ts1Jccgmrr5aZkUu4IypuiKbiArgAATJsCszM+f1xAhmZgRmYmTvL83697gu59869z4zDPHPPPec5IsYYAyGEEEJqEAsdACGEEGKqKEkSQgghGlCSJIQQQjSgJEkIIYRoQEmSEEII0YCSJCGEEKIBJUlCCCFEA0qShBBCiAaUJAkhhBANKEkSQgghGhg0SR4+fBgvvvgi/Pz8IBKJ8Msvv9T5mIMHD6JLly6QSqUICgrCxo0ba+yzevVqNG/eHPb29ggPD8fJkyf1HzwhhBCrZ9AkWVJSgo4dO2L16tVa7X/z5k0MGjQIffr0wblz5zBx4kS88847+PPPP6v22b59OyZNmoQ5c+bgzJkz6NixI/r374+cnBxDPQ1CCCFWSmSsAucikQg7d+7EkCFDNO4zbdo0/P7777h48WLVuqioKBQUFCA+Ph4AEB4ejm7dumHVqlUAAKVSCX9/f3z44YeYPn26QZ8DIYQQ62IjdADVJSYmIiIiQmVd//79MXHiRABAeXk5kpOTERMTU7VdLBYjIiICiYmJGo9bVlaGsrKyqt+VSiXy8/Ph4eEBkUik3ydBCCHE4BhjKCoqgp+fH8RiwzWKmlSSzMrKgre3t8o6b29vFBYW4sGDB7h//z4UCoXaff7++2+Nx124cCHmzp1rkJgJIYQIJzMzE0888YTBjm9SSdJQYmJiMGnSpKrfZTIZAgICkJmZCWdnZwEjIxZJLgeuXAEuXQKaNAGefRZISQEiI4HiYr6PSAS0bg0kJvJ/f/01IBYDPj6PlqZNAVtbYZ5DRQVw6xaQlQXcuwdkZwMyGTBzJt/ety9w+vSj/d3dgU2bgGeeAc6cAW7fBtq3B1q04M+PED0rLCyEv78/GjdubNDzmFSS9PHxQXZ2tsq67OxsODs7w8HBARKJBBKJRO0+Pj4+Go8rlUohlUprrHd2dqYkSRpGLueLvT2wcyewZAlw/jzw4AHfPnIkMHgwTxizZwOtWvElMBCo/p40xfvpHh6at506xRP+tWvA1at8CQ0FnJ2BX38FVqzg+7m6Al26AO+8AwwbBigU/MsAJU6iJ4a+ZWZSSbJHjx7Ys2ePyrp9+/ahR48eAAA7OzuEhYXhwIEDVR2AlEolDhw4gAkTJhg7XGKN7t0DDh0Cjh4FkpN5QvzqK54EpFKe/N54AwgLAzp2BFxc+ONcXIApU4SNXd8aNQI6d+ZLdcuXA9OmAWfP8tcoOfnRl4Y//wSio/nr07Ur0KsX8PTTj14nQkwNM6CioiJ29uxZdvbsWQaALV++nJ09e5alp6czxhibPn06e+utt6r2v3HjBnN0dGRTpkxhly9fZqtXr2YSiYTFx8dX7RMXF8ekUinbuHEju3TpEhs3bhxzdXVlWVlZWsclk8kYACaTyfT3ZIllunePsbg4xgoK+O9vvMEYwFirVoxFRzO2fDljV64IG6M5uXqVsc8/Z2zIEMb8/Phr2asX3yaXM/b774zR3yXRgrE+xw2aJBMSEhiAGsvIkSMZY4yNHDmS9e7du8ZjOnXqxOzs7FhgYCDbsGFDjeOuXLmSBQQEMDs7O9a9e3d24sQJneKiJElq9b//MTZ+PGNt2vAPcYCxvXv5trQ0xnT4QkZqoVQydu0aY6dP89+Tk/lrLRYz1q0bY1OnMhYfz/cj5DHG+hw32jhJU1JYWAgXFxfIZDK6J0mAGzeAPXuA994DbGyAPn2Au3f5z2ef5Ust97yJnjAGpKUBBw8CCQl8adyY3+8EgB07eMcgT09BwySmwVif45QkKUlap6QkYNcuvly8CNjZ8Xtn7dsDDx/yjjhEWIwBubm8h/CdO4C/P+/w07Mn7wz14otASAh1ArJSxvocpwLnxDoolTwxVnr7beDbb3kHkv/9j38Yt2/Pt1GCNA0iEU+QAB8Oc/cu8N13fLjJnDnAU0/x3rIAkJkpXJzEotGVJF1JWraLF4EtW4Bt2/gHaWoq0LYtkJHBP3glEqEjJPXx4AEfi9qpE/+C4+sLtGsHDB/Oh5o0bSp0hMTA6EqSkIZ6/nk+dm/tWmDQID5so00bvi0ggBKkOXNw4AkS4GMz//c/Pv505kzeLDtgAG89IKSBKEkSy1BeDsTFAf36AZUzwgwbxge237sHrFnDm+fo/pXlsbPj9yh//JFXBoqNBbp350ULysuBUaOAv/7i9zgJ0ZFJFRMgRGcZGfw+1dq1PDk+8wxvfvPy4vcdiXVxcQFGj370e2Ymrw60aRPv5PP++8CIEbwSECFaoCtJYn6UykcdNiZO5BVv3niD3288dIjfcyQEAFq25PelDx7kFZAmTwZeeEHoqIgZoSRJzMf9+7zkWUgI8MsvfN1//8t7Pa5cScmRqCcSAb17A9u385aHr77i60+d4sNJtmwBqk2lR0h1lCSJ6bt7l9c9DQjghcC7dweCgvg2f39eQ5QQbfj68oLrAE+eTk7AW2/xK87lyx/N0kLIvyhJEtNV2dHil1/4fccPP+T3mLZu5U1nhDRE167Avn18SrPnn+dF2RcuFDoqYmJonCSNkzQ9584BixYBbm68V+rDh7w5jGaKIIaUkQE4OvKydytWAOnp/B6mASf0JfVH4ySJ9Tl+HBg4kE+9lJTEq+EAvAIOJUhiaAEBj+rCMgZs3MinPnvnHV5TllglSpLENKSn87kFMzN5R4pr1/iHEyFC+OQTfmW5YAEvft+mDe89TawOJUkinJs3eYccuRxo1gw4doxPYhwdzWfjIERIjRsDn34KXL8ObNjwqPd0bCxQUCBoaMR4KEkS48vJAT7+mA/lqLxqBIAnn+RVUggxJQ4OvCasSATcusU7kAUGAsuW8RqyxKLRJxIxrtWreXf7jRuBzz7j93oq66kSYuqaN+dXlkOH8uFIrVrx3tbEYlGSJIbH2KPxZ+7uwLvv8omOZ8zg49QIMSe+vrzX9eXLvB5wZace6xsoYBVoCAgNATGs8+eBCRMAPz9e8YQQS8MYb4qdOZM3xy5dyhMpMSgaAkLMW0EBv+/YpQuQlweMGyd0RIQYRuXMMq1aAX/+ye+1f/klUFEhbFxELyhJEv178IDP4xgby4sCnDsH9O0rdFSEGNaIEcDVq/znp5/y8b4ymdBRkQaiJEn0JzWVV8ZxcOBNTleu8CEednZCR0aIcbi5AatWAadPA6++yotgMMaL8xOzREmSNFxFBTB/Pv/mvG4dXxcVBTRtKmxchAilc2dg7lz+759/5gX5f/iBOveYIUqSpGEuXODjG+fO5VeNVCWHEFV9+vAC6m++ya8us7OFjojogJIkqb9Ll/hMCmVlwIkTwBdfAFKp0FERYlo8PYG4OH5FefQor9xz4YLQUREtUZIkusvI4D/btOGdc5KTebIkhGj26qv8i+XYsUDr1nzdw4fCxkTqREmSaE8uBz7/nN9f+eMP3vX9rbfo6pEQbXl68h7fdna813eLFjR+2MRRkiTauX2bD+OYM4ffe3zuOaEjIsS8NW0KPPMM7+Q2ZgxQUiJ0REQNSpKkbhcuAJ068ZqVBw/SvUdC9KFJE36vcv16/rNbNz7OkpgUSpKkbq1a8QHS587xOR8JIfohEgGjR/NxlX5+AJXJNDmUJIl6N28Czz4LpKQA9vbA8uWPZm0nhKCkTI7UuzKczbiP1LsylJTJ63+wNm2A/fsBHx/gn394vePCQv0FS+qNZrYlNf38Mx/v6O5O9ScJqeZadhG2JmUg4UoOMvJLUb00gAhAgLsj+oR4ITo8AMHejet3ktRU4Pvvgfh43qknLEwfoZN6ollAqHnjEbkcmDqVF2d+/XVg7VpeVosQK5eZX4oZO1NwJC0XErEICqXmj83K7b2CPLHg5VD4uzvqfsLKOStTUvi0XG+/3YDoLRPNAkKMLyuLl87673/5N1hKkIQg7lQGIr48hOM38gCg1gRZffvxG3mI+PIQ4k5l6H7Sli2BY8eAUaP4/KuVc1YSo6MrSbqS5IXIvb0BV1c+OXKjRkJHRIhJWJVwDcv2NrzH6af9WmFCn2DdH8gYL0DQrh2gUABFRfzvlNCVJDGSPXuA7t2BWbP475QgCQHAryD1kSABYNneq9henytKkYgnSACYN48PE7l8WS8xEe0YJUmuXr0azZs3h729PcLDw3Hy5EmN+z777LMQiUQ1lkGDBlXtM2rUqBrbIyMjjfFULAdjfDqrF14AevfmYx8JIQD4Pcg5u1Jr3afi/j3kxa/CnTVjkL70ZWQsfx1Zm6eg8NSvUFaU1dh/9q5UZOaX1j+okSN5T/PwcGD37vofh+jE4Ely+/btmDRpEubMmYMzZ86gY8eO6N+/P3JyctTuv2PHDty7d69quXjxIiQSCV5//XWV/SIjI1X2++GHHwz9VCwHY3xs1tSpQEwM8MsvND6LkGpm7EyBvJZ7j6Vpp3AvdgJKLx+BQ1B3uD//Ltx6j4TEuQnuJ2zA/f3f1XiMXMkwY2dK/YMKDASOH+fVrgYP5uXtrO9umdEZfAjI8uXLMXbsWIwePRoA8M033+D333/H+vXrMX369Br7u7u7q/weFxcHR0fHGklSKpXCx8fHcIFbMpEI6NAB2LYNGDZM6GgIMSnXsotwJC1X4/aKgizk7loCiUsTeA9bAJtGjz6zGoe9gIr7d/Eg7VSNxymUDEfScpGWU4Qgr3oOD2ncGNixg5eHvHiRJ0mRqH7HIlox6JVkeXk5kpOTERER8eiEYjEiIiKQmJio1TFiY2MRFRUFJycnlfUHDx6El5cXQkJCMH78eOTl5Wk8RllZGQoLC1UWq3T3LrBxI//3pEmUIAlRY2tSBiRizYmnMOl/YOUP4DHgY5UEWcnWzQ/O3V5S+1iJWIQtJ+pxb7I6sZhPcr55M//3qVPAgwcNOybRyKBJMjc3FwqFAt7e3irrvb29kZWVVefjT548iYsXL+KdxybyjYyMxPfff48DBw5g8eLFOHToEAYMGACFQqH2OAsXLoSLi0vV4u/vX/8nZa6uXAF69uTfQIuKhI6GEJOVcCWn1mEeD9JOwsbVB/ZPtNH52AolQ8JV9beadCYS8aLogwYB/fsDBQX6OS5RYdK9W2NjYxEaGoru3burrI+KisLgwYMRGhqKIUOGYPfu3Th16hQOHjyo9jgxMTGQyWRVS2ZmphGiNyFJScBTT/Geq8eO8SYbQkgNxWVyZNTSuUZZVgpFUR5smzSv9zky8kobVsKuOicnYNcuXqXnmWd4axHRK4MmSU9PT0gkEmRnZ6usz87OrvN+YklJCeLi4jBmzJg6zxMYGAhPT0+kaRhwK5VK4ezsrLJYjcob/a1bA0eOAE88IXREhJis9LwS1NYVRlnGE6jYzqHe52AAbuXpcVqsJ58Ejh7lV5I9e/JWI6I3Bk2SdnZ2CAsLw4EDB6rWKZVKHDhwAD169Kj1sT/99BPKysowfPjwOs9z+/Zt5OXlwdfXt8ExW5z27YEPPgD27gXc3ISOhhCTVi5X1rpdLOUl5pTlDbsHWNd5dNamDf9CHBjI71MSvTH4qzlp0iSsXbsWmzZtwuXLlzF+/HiUlJRU9XYdMWIEYmJiajwuNjYWQ4YMgYeHh8r64uJiTJkyBSdOnMCtW7dw4MABvPTSSwgKCkL//v0N/XTMx/r1vJSVszOwZAngWI/6kYRYGTub2j8SxVJHSBq5o+KfdIOep16eeAL46y8gOJj3O6hlPDrRnsGT5NChQ7Fs2TLMnj0bnTp1wrlz5xAfH1/VmScjIwP37t1TecyVK1dw9OhRtU2tEokEFy5cwODBg9GqVSuMGTMGYWFhOHLkCKQ0ETD33//ymc7j4oSOhBCz0tzDCXUNqHAI6g55wT2U3alf5RvRv+cxqC++4FPdVWvFI/VDtVst7f7k8uXA5MnAlCnA4sU0hooQHfVemoD0WjrvVNy/h3vrP4SNixe8h30BiZNbje0P0k5qHAbSzMMRhz7to9eYa3jwAHj5ZeDQIeDXX4F+/Qx7PgFQ7Vaiuy+/5AkyJoYSJCH11CfEC7UMk4Stmy88B0+BvCALd9eOR/7+71B0/k8Unfkdub8tw91141GRp74HvUQsQp9WXgaKvBoHB15Jq7I6z59/Gv6cFoqSpCVp1w747DPe1EIJkhCdpaSk4HTcl6hjNiw4BofD9+2VcAx5CqXXkpC/dw3uH9wIuSwHbs+NgXvEu2ofp1AyDH8ywACRq2Fvz6vzPP88r85D6oWaWy2hufXAAaBPH+rVRkg9paSkYN68efj555/RvHlztBj9f0gvs69z7khdSMQi9Az0wOYx4Xo7plYUCkAi4f/OygIspJwnNbcS7Xz7LRARAfz8s9CREGJ2UlJS8Prrr6NDhw44ffo01q1bh6tXr2LThEjY1NbmWg82YhEWvByq12NqpTJB/vorEBTEx0sTrVGSNGc//wyMHw98+CHwWAF4QohmmpLjmDFjYGtrC393R8wd3E6v55w3uB383QUcivX883w+yhdfBFIaMBuJlaEkaa4SEoDoaCAqClixgu5BEqKFupJjdVHdAvBpv1YAgIbelZrSLwRDuxnpXqQmjo78arJFCyAyEkhv2FhPa0FJ0lxt384nS964ke5FElIHXZJjdRP6BCNEdhpQVECi4/dQiVgEqY0Yi18JxQd9ghr4DPTE2Rn44w/eqWfKFKGjMQsGn0+S6JlSyZPi118DDx8CdnZCR0SIyXq8Q866deswYsSIWhNjdb///jv2rvkMS9dswHnbNjiSlguJWFRrh57K7T0DPbDg5VBhm1jV8fHhnf2oTKVWqHerOfVuzcnhg4KXL+fjnwghaj2eHGfOnKlTcgSA+/fvo3379ujQoQP27NkDkUiEa9lF2JqUgYSrOcjIK1Uphi4CEODhiD6tvDD8yYD6T6xsTNevA0uXAitXAjq8NqbAWJ/jdCVpLoqKgIEDgexsfk+BEFJDQ68cq5s0aRKKi4vx3XffQfTvPf9g78b4bHA7fIZ2KCmT41ZeCcrlStjZiNHcwwlOUjP7SE1P53WeS0vp1o0GZvY/aqXkcuC114Br13iZKUqShKjQZ3IEeDPrxo0bsW7dOo2TtDtJbdDOz6UhYQvvueeA778Hhg0DmjYFFi4UOiKTQ0nSHMyeze8h/Pkn0KmT0NEQYjL0nRwB3sw6btw4REZG4u2339ZjtCYqKgq4cwf49FM+tV50tNARmRRKkubg7beB0FCgb1+hIyHEJBgiOVZS18xq8SZNAm7d4r1fiQpKkqYsJQVo3pxXyQgykS7khAjIkMkR0K6Z1SKJRLzzDgAwxvtAUMIEQOMkTVdGBi83N2mS0JEQIrj6jnPUhdU1s2oycSLvRf/wodCRmARKkqaotBQYMoRPd7NggdDRECIYYyTHSlbZzKrO8OHA+fPAuHH8qtLKUZI0NYzxe5BXrvASUk2aCB0RIUZnzOQIPGpmXb58uXU1s6rTrRsQGwts3szHZFs5SpKm5vBh4Mcfebfsjh2FjoYQozJ2cgSomVWtN98Epk0Dpk4FTpwQOhpBUccdU9O7N3D1KnXUIVbF0B1yakPNrBp88QXQti2/srRidCVpKvLygDVreHMrJUhiJYS4cqyOmllrIZEAI0bwn2fP8smbrRAlSVPAGDB6NDBzJq/PSoiFEzo5AtTMqrXbt4HwcKutxkNJ0hT897/Ab7/x2one3kJHQ4jBmEJyrETNrFp64gkgJgaYM4f3mbAylCSFdvo0vzn+ySd8xnBCLJApJUeAmll1Nns20KsX79CTmyt0NEZFSVJo337Le7EuWiR0JITonaklR4CaWetFIgG2bgXKyoDp04WOxqiod6vQvv0WuH+fJk8mFkXI3qp1oWbWemraFNi9GwgOFjoSo6IrSaH89huf2UMsBjw8hI6GEL0wxSvH6qiZtYHCwwF3d+DuXSAtTehojIKSpBCys3lv1rVrhY6EEL0w9eQIUDOrXr3+Op+DUi4XOhKDoyRpbIwB48fzK8jKqvuEmClzSI6VqJlVj5YvB86cAZYuFToSg6MkaWzbtwM7d/LCAVSXlZgpc0qOADWz6l14OJ+k+bPPgIsXhY7GoESMWV+Z98LCQri4uEAmk8HZmHOmMcZLPLVsyZMlIWbm8Q45M2fONJkOOZrcv38f7du3R4cOHbBnzx66itSXhw+BLl0ANzfg6FE+J6URGetznHq3GpNIBCQkABUVQkdCiE5MubdqXaiZ1UDs7fmwEBsboydIY6IkaSwHDvAryObNhY6EEK2Zc3IEHjWzrlu3jppZDaFzZ/6zrIwXGWjaVNh4DIDuSRpDbi4wdChvvyfEDJjbPUd1qDerEUVHA6+8AiiVQkeid5QkjWHGDN5VeskSoSMhpFaWkBwrUTOrEU2cCJw8CaxfL3QkekdJ0tBOngTWrQM+/xzw8hI6GkLUsqTkCFBvVqN7+mk+rdb06UB+vtDR6JVRkuTq1avRvHlz2NvbIzw8HCdPntS478aNGyESiVQWe3t7lX0YY5g9ezZ8fX3h4OCAiIgIXLt2zdBPo34mT+a1Wd97T+hICKnB0pIjQM2sglmyhHdK/M9/hI5ErwyeJLdv345JkyZhzpw5OHPmDDp27Ij+/fsjp5Z5E52dnXHv3r2qJT09XWX7kiVL8NVXX+Gbb75BUlISnJyc0L9/fzx8+NDQT0d3GzYAmzbxHmCEmAhLTI6VqJlVIN7ewFdfAX37Ch2JfjED6969O/vggw+qflcoFMzPz48tXLhQ7f4bNmxgLi4uGo+nVCqZj48PW7p0adW6goICJpVK2Q8//KBVTDKZjAFgMplMuydRHzIZY6Wlhjs+sTjFDyvYxTsF7Ex6Prt4p4AVP6zQ+zkuXLjAXnvtNQaANW/enK1bt46Vl5fr/TxC2b17NwPA1q1bJ3QoRKk06OGN8jnOGDPo5U15eTmSk5MRExNTtU4sFiMiIgKJiYkaH1dcXIxmzZpBqVSiS5cuWLBgAdq1awcAuHnzJrKyshAREVG1v4uLC8LDw5GYmIioqKgaxysrK0NZWVnV74WFhfp4erWbOhVISgKSk3kJOkLUuJZdhK1JGUi4koOM/FJUr+whAhDg7og+IV6IDg9AsHfjep/H3IdyaIOaWU1ERQUQFQUMGgRYwP+DQT+9c3NzoVAo4O3trbLe29sbWVlZah8TEhKC9evX49dff8WWLVugVCrRs2dP3L59GwCqHqfLMRcuXAgXF5eqxeA38k+fBr77jhcxpwRJ1MjML8VbsUl4fsVhbE5KR/pjCRIAGID0/FJsTkrH8ysO463YJGTml+p0HktuVn0cNbOaCFtbwMEBmDaNTwNo5kzuE7xHjx4YMWIEOnXqhN69e2PHjh1o0qQJvv3223ofMyYmBjKZrGrJzMzUY8SPYYx3h27fHnj/fcOdh5ituFMZiPjyEI7fyAMAKJS1V4as3H78Rh4ivjyEuFMZdZ7DmpIjQL1ZTc7SpbzAwPz5QkfSYAZNkp6enpBIJMjOzlZZn52dDR8fH62OYWtri86dOyPt37nLKh+nyzGlUimcnZ1VFoPZvRs4doy/SaizDnnMqoRrmL4jBWVyZZ3J8XEKJUOZXInpO1KwKkF9b25rS44ANbOaJF9ffstp9WrgsY6X5sagSdLOzg5hYWE4cOBA1TqlUokDBw6gR48eWh1DoVAgJSUFvr6+AIAWLVrAx8dH5ZiFhYVISkrS+pgG5egIjBsH9OsndCTExMSdysCyvVf1cqxle69ie7UrSmtMjpWomdVEffIJ4OcHnDghdCQNYvBLnUmTJmHkyJHo2rUrunfvjhUrVqCkpASjR48GAIwYMQJNmzbFwoULAQDz5s3Dk08+iaCgIBQUFGDp0qVIT0/HO++8AwAQiUSYOHEiPv/8cwQHB6NFixaYNWsW/Pz8MGTIEEM/nbr17Wt5XaBJg2Xml2LOrtQa64sv7EfenhWPVkhsIXFoDNsmzeDQshsahUZALHVUe8zZu1LhLs/Dd8sXWHSHnNpQbVYT5uQEXLkC2NkJHUmDGDxJDh06FP/88w9mz56NrKwsdOrUCfHx8VUdbzIyMiCu1rnl/v37GDt2LLKysuDm5oawsDAcP34cbdu2rdpn6tSpKCkpwbhx41BQUICnn34a8fHxNYoOGFVZGZ9MOSYGCA4WLg5ikmbsTIG8luZVl17RsHHxAZRyKEru42FGCu7vX4vCk7/A67VZsPNqUeMxZRVyDP/vbjj+e+VoTckRoGZWs2BnB5SW8ttQb7whdDT1QvNJ6uv+5IoVvLpOairQurV+jkkswrXsIjy/4rDabZVXkj4jv4TUV/XL1YNb5/HPz/MgdnSB39g1ENtK1R7jjw97oo2fm97jNnWjR4/Gjh07cPHiRbqKNGXbt/MhIUePAk89pbfDGms+SZPr3WqWCguBL77gY4IoQZLHbE3KgESs+70yh+Yd4fLUUCgKc1CSmqB2H4lYhO2n7zY0RLNDvVnNyOuvA5068bquZnhNRklSH/7v/4DiYmDOHKEjISYo4UqOzj1ZKzm1ew4A8PDmWbXbFUqGhKuaSzxaImpmNTNiMbBwIb+S3LNH6Gh0RkmyocrLgTVrgAkTgCeeEDoaYmKKy+TI0LEAQHU2zp4QSZ0gL1BfKAMAMvJKUVImr/c5zA31ZjVD/fsDzz4LzJpldleTNJCvoezsgJQUXmWCkMek55XUqKSjK7GdPZTlmhMtA3ArrwTt/FwaeCbTR71ZzZRIxGcJ+ecfoSPRGSXJhnj4EFAoePV7QtQolzd8pnZl+UPYOroa/DymjppZzVy3bkJHUC/U3NoQ334LBAXxLs6EqGFn07A/MXlhLlhZCWzcfA16HnNQ2cy6du1aamY1V7m5vNDK8eNCR6I1y//LMpTycmDZMuD553mVHULUaO7hhIZ8nJek/gUAsG/RReM+on/PY8kqm1m//PJLPEH3/s2Xuztw+zbvyGMmKEnW19at/D972jShIyEmzElqgwD3+n2JenDrPGTHtsPGxRuN2j2rcb8AD0c4SS33zkn1ZtbKSl3ETInF/DNz927el8MMWO5fliEpFMDixcBLLwH/znNJiCZ9QrywOSm91mEgD26cRkXebUCpgKK0AA/Tz+PhzXOQuHihyWuzILJRX9pLIhahTysvQ4VuEqiZ1cK8+SYwezawaBG/2DBxlCTr459/ADc3XoKOkDpEhwdgY+KtWveRHfn3w0JiA4l9Y9g2aQ63iLG11m4F+DjJ4U8G6DFa01LZzBobG0vNrJbC1hb49FOeKAsLAUPOyqQHVJauvv9BjPFuzYRo4a3YJBy/kVfvogLqSMQi9Az0wOYx4Xo7pim5f/8+2rdvjw4dOmDPnj10FWlJHjzgowPc6l9OkcrSmaqrV4HD6utwEqLJgpdDYVOP0nS1sRGLsODlUL0e05RQM6sFc3DgCbKwkCdME0ZJUleLFwPDh/P7koRoyd/dEXMH6/f+9bzB7eBfz05Bpo56s1qBoiIgIADYtEnoSGpFSVIX9+8D27YB770H2NDtXKKbqG4B+LRfK70ca0q/EAztZpn3Iqk3q5Vo3JiXqluzxqRL1VGS1MXGjfwKcswYoSMhZmpCn2AseiUUUhuxzjODSMQiSG3EWPxKKD7oE2SgCIVHzaxW5P33gQsXTLq4ACVJbSmV/BvPa69RGTrSIFHdArD/k97oGegBAHUmy8rtPQM9sP+T3hZ7BQlQM6vViYjgk9R//bXQkWhEbYbaKi/n9yL79xc6EmIB/N0dsXlMOK5lF2FrUgYSruYgI69UpRi6CLxQQJ9WXhj+ZACCvBoLFa5RUDOrFRKL+dXk3r38QkRsetdtNATExMfoEOtRUiZH/LFkvDl8BLZt+R6RT4VZdCWdx40ePRo7duxAamoqXUVak3oOp6MhIKYkMxOYORMoKBA6EmLBnKQ2aOFqi/J7V9HC1daqEiQ1s1oxkYhfRe7fb5KjBihJamPrVmD5ckAiEToSQiwONbMSnD7NJ4s4dEjoSGqgJFkXxoDNm4EhQ3iXZUKIXlFvVoJu3YCWLYEtW4SOpAZKknU5fx64dAmIjhY6EkIsDjWzEgC8yXX4cOB//zO5CjyUJOuydSvg6cknCiWE6A01sxIV0dG8TN3u3UJHosJ6egbU1+uvA1278sr1hBC9oWZWoiI4mCdKE3svUJKsS/fufCGE6A1NgUXUonuSZmbJEuDHH4WOghCLQs2spFaXLwNJSUJHUYWSpCYPHgCff8477RBC9IaaWUmtJk/mi4mgJKlJfDyfyuXNN4WOhBCLQb1ZSZ2io4Fjx3gRFxNASVKTXbuAtm2BVvqZ2ogQa0fNrEQrgwbxqQhNpJcrJUl1FAr+HzR4sNCREGIxqJmVaMXVFXjmGX6hYgKod6s6SiWwejXQoYPQkRBiEag3K9HJyJHAmTP1Ln6uT5Qk1bG1Bd54Q+goCLEI1MxKdDZiBF9MADW3qjN5skl1QSbEnFEzK6mXe/eAgweFjoKSZA3XrvEZP7KyhI6EELNHvVlJva1aBbz2muDTZ1GSfNxvvwFSKRARIXQkhJg1amYlDTJ4MJCXByQmChoGJcnH7drFE6STk9CREGLWqJmVNEi3boC3N/Drr4KGYZQkuXr1ajRv3hz29vYIDw/HyZMnNe67du1a9OrVC25ubnBzc0NERESN/UeNGgWRSKSyREZGNjzQkhI+iHXgwIYfixArRs2spMHEYiAyEti3T9gwDH2C7du3Y9KkSZgzZw7OnDmDjh07on///sjJyVG7/8GDBzFs2DAkJCQgMTER/v7+6NevH+7cuaOyX2RkJO7du1e1/PDDDw0PVqkEVqzgg1kJIfVCzaxEb154AQgKEvS+pIgxxgx5gvDwcHTr1g2rVq0CACiVSvj7++PDDz/E9OnT63y8QqGAm5sbVq1ahRH/dgkeNWoUCgoK8Msvv2gVQ1lZGcrKyqp+LywshL+/P2QyGZydnXV/UoQYyJkzZxAWFobk5GR06dJF6HDqZfTo0dixYwdSU1PpKpIYTGFhIVxcXAz+OW7QK8ny8nIkJycjolonGLFYjIiICCRqeTO2tLQUFRUVcHd3V1l/8OBBeHl5ISQkBOPHj0deXp7GYyxcuBAuLi5Vi7+/v/odv/oKSE7WKi5CSE3UzEr0rqiIzwwiEIMmydzcXCgUCnh7e6us9/b2RpaWQyymTZsGPz8/lUQbGRmJ77//HgcOHMDixYtx6NAhDBgwAAoNl+QxMTGQyWRVS6a6wrnFxXx85KlT2j9BQkgVamYlBvHxx0BUlGCnN+mKO4sWLUJcXBwOHjwIe3v7qvVR1V6w0NBQdOjQAS1btsTBgwfRt2/fGseRSqWQSqW1n+zYMUAuB559Vl/hE2JVqDcrMYhnnwU2bODDQTw8jH56g15Jenp6QiKRIDs7W2V9dnY2fHx8an3ssmXLsGjRIuzduxcd6qihGhgYCE9PT6SlpdU/2IQEwMcHCAmp/zEIsVLUzEoMpvLC5dAhQU5v0CRpZ2eHsLAwHDhwoGqdUqnEgQMH0KNHD42PW7JkCebPn4/4+Hh07dq1zvPcvn0beXl58PX1rX+wBw/y/wz6BkyITqiZlRhUQAAQGChYiTqDN7dOmjQJI0eORNeuXdG9e3esWLECJSUlVX9MI0aMQNOmTbFw4UIAwOLFizF79mxs27YNzZs3r7p32ahRIzRq1AjFxcWYO3cuXn31Vfj4+OD69euYOnUqgoKC0L9///oHOmgQ0KlTQ58uIVaHmlmJwQ0YABQUCHJqgyfJoUOH4p9//sHs2bORlZWFTp06IT4+vqozT0ZGBsTiRxe0a9asQXl5OV577TWV48yZMwefffYZJBIJLly4gE2bNqGgoAB+fn7o168f5s+fX/d9x9rMmlX/xxJipbSZAqukTI5beSUolythZyNGcw8nOElNujsEMTX/DiEUgsHHSZqiGuNrzp0DKip4GSRCBGRO4yTv37+P9u3bo0OHDtizZ4/KVeS17CJsTcpAwpUcZOSXovqHjAhAgLsj+oR4ITo8AMHejY0eOzFDSiX/nP73YshY4yTp6xwALFsGXL8ueCFdQsyJumbWzPxSzNiZgiNpuZCIRVAoa34HZwDS80uxOSkdGxNvoVeQJxa8HAp/d0cjPwNiNpRK3rFy5kzgo4+MemoqcA4Ap08DYWFCR0GI2VDXmzXuVAYivjyE4zd4YQ91CbK6yu3Hb+Qh4stDiDuVYdigifkSi4EWLfhntbFPbfQzmpqiIuDqVUqShGhJXW/WVQnXMH1HCsrkyjqT4+MUSoYyuRLTd6RgVcI1Q4RMLEFYmCAV0ShJnj0LMEZJkhAtPd7MGncqA8v2XtXLsZftvYrtdEVJ1AkLA/7+m8/WZER0T/LBA/7it20rdCSEmLzHe7Nm5pdizq5UjfsXX9iPvD0r1G5zfvI1uD07qsb62btS0bOlJ92jJKrCwvi9yZQU4MknjXZaSpL9+/OFEFIrdc2sM3amQK5F86pLr2jYuKhW2bJr0kztvnIlw4ydKdg8JrzhQRPL0b49kJXFJ2I2IkqSOTlAkyZUaYeQOjzezHotuwhH0nK1eqxDYFdIfYO12lehZDiSlou0nCIEedHwEPIvGxujJ0jA2u9JVlQATZsC334rdCSEmDR1vVm3JmVAIjbMl0uJWIQtJ+jeJHnMqlVAdLRRT2ndSTIjg8/8EazdN1xCrJGm2qwJV3K07smqLCuBolSmstRGoWRIuJrToLiJBSoqAvbs4Z0tjcS6m1srZw1p1UrYOAgxYeqKBhSXyZGRX6r1MXLiZtZY12z67lofk5FXipIyOZWwI4+EhPAarrm5VZV3DM26331paYCDA29yJYTUoKk2a3peCXT5Lu/ebzxs3HX7O2MAbuWVoJ2fi06PIxas8oLmyhWgjikU9cW6k+StW7ypVWzdrc6EqFPbFFjlcqVOx7LzbaV1x52GnIdYuJYteSfLq1cpSRrFkiVCR0CIyaptCiw7G+N8sTTWeYiZcHAA4uKA7t2NdkrrTpIiEWDA6vGEmKu6psBq7uEEEaBTk6uuRP+ehxAVb7zBfxYWGuV01v01rVcv4NAhoaMgxKTU1sxayUlqgwADV8QJ8HCkTjukpsREPnOTkVh3krxwAbCzEzoKQkxKbc2s1fUJ8TLoOMk+rbwMcmxi5k6dAv7zH16izgisO0kCQECA0BEQYjLUFQ3QJDo8QOcZP7SlUDIMf5L+NokaAQFAeTmQl2eU01FbhgBljggxRdo0s1YX7N0YvYI8cfxGnsZk2ahDBBp1iNApDolYhJ6BHlSSjqjn68t/ZmUZ5XTWfSXZpAmvB0gI0bqZtboFL4fCRs9NrjZiERa8HKrXYxIL4ufHf1KSNIKVK4WOgBCToEsza3X+7o6YO7idXmOZN7gdTZNFNPPxAaKiADc3o5zOui+jBgwQOgJCBKdrM+vjoroFILe4TC8TL0/pF4Kh3eheJKmFrS3www80BMQojh4VOgJCBFefZtbHTegTjEWvhEJqI9a5x6tELILURozFr4Tigz5B9To/sTJ37wLp6UY5lXVfSR46BAwcKHQUhAimrqIBuojqFoCnWnpixs4UHEnLhUQsqrX3a+X2noEeWPByKDWxEu29/Ta/ojQC606S1LOVWLGGNrOq4+/uiM1jwnEtuwhbkzKQcDUHGXmlKpV5ROCFAvq08sLwJwOoFyvRna8vkJJilFNZd5L08RE6AkIEo49mVk2CvRvjs8Ht8BnaoaRMjvhjyXhz+Ahs2/I9Ip8Ko0o6pGF8fYH9+41yKut+p7q6Ch0BIYLQZzNrXZykNmjhaovye1fRwtWWEiRpODc36rhjFJWDUgmxIoZoZiXEqJydAWbI8vqPWHeSbNlS6AgIMTpDNrMSYhTvvgvcvm2UU1l3u4eRCuQSYiqM2cxKiCWw7ivJ0lKhIyDEaKiZlViM5GSgRw+jnMq6k6Qjjcsi1oOaWYnFUCqBS5eMcirrbm4VW/d3BGI9qJmVWJRGjYx2KsoShFg4amYlFqex8QpQUJIkxMJRMyuxOJQkCSH6UN8psAgxaY0aAZs3G+VURkmSq1evRvPmzWFvb4/w8HCcPHmy1v1/+ukntG7dGvb29ggNDcWePXtUtjPGMHv2bPj6+sLBwQERERG4du2aIZ8CIWaHmlmJxZJIgMGDjXIqgyfJ7du3Y9KkSZgzZw7OnDmDjh07on///sjJyVG7//HjxzFs2DCMGTMGZ8+exZAhQzBkyBBcvHixap8lS5bgq6++wjfffIOkpCQ4OTmhf//+ePjwoaGfDiFmg5pZicVSKoEVK4xzLmZg3bt3Zx988EHV7wqFgvn5+bGFCxeq3f+NN95ggwYNUlkXHh7O3n33XcYYY0qlkvn4+LClS5dWbS8oKGBSqZT98MMPao/58OFDJpPJqpbMzEwGgMlksoY+PUL0Kjk5mQFgycnJDTrO7t27GQAWGxurp8gaRl/PixDGGGMKBZMBRvkcN+iVZHl5OZKTkxEREVG1TiwWIyIiAomJiWofk5iYqLI/APTv379q/5s3byIrK0tlHxcXF4SHh2s85sKFC+Hi4lK1+Pv7N/SpEWKyqJmVWDwjtowYNEnm5uZCoVDA+7F5G729vZGVlaX2MVlZWbXuX/lTl2PGxMRAJpNVLZmZmfV6PoSYA2pmJRbPSMXNASspJiCVSiGVSoUOgxCDo6IBxCoYse62Qa8kPT09IZFIkJ2drbI+OzsbPhomPPbx8al1/8qfuhyTEGtAzazEqrz4olFOY9AkaWdnh7CwMBw4cKBqnVKpxIEDB9BDQ3HaHj16qOwPAPv27avav0WLFvDx8VHZp7CwEElJSRqPSYg1oGZWYjVsbIAtW4xzKkOfYNKkSRg5ciS6du2K7t27Y8WKFSgpKan6pjtixAg0bdoUCxcuBAB8/PHH6N27N/7v//4PgwYNQlxcHE6fPo3vvvsOACASiTBx4kR8/vnnCA4ORosWLTBr1iz4+flhyJAhhn46hJgkamYlVkWhAO7cMcqpDJ4khw4din/++QezZ89GVlYWOnXqhPj4+KqONxkZGRBXKzTes2dPbNu2DTNnzsSMGTMQHByMX375Be3bt6/aZ+rUqSgpKcG4ceNQUFCAp59+GvHx8bC3tzf00yHE5FAzK7E69+4Bbdsa5VQixozYTchEFBYWwsXFBTKZDM7OzkKHQ0iVM2fOICwsDMnJyejSpYtWjxk9ejR27NiB1NRUk72KrM/zIkSjy5dR2LYtXACDf45bRe9WjYzYQ4oQQ6BmVmKVioqMdirrLnBeUiJ0BITUGzWzEqtFSdJI5HKhIyCk3qg3K7FaxcVGO5V1J0k3N6EjIKReaAosYtUGD+add4zAupNkRYXQERCiM2pmJVZPJAIcHY1yKutOkidOCB0BITqjZlZi9bZsAYYNM8qprDtJFhQIHQEhVUrK5LhZUAE731a4WVCBkrKa98ypmZUQAKmpQEqKUU5l3UNANMwaQoixXMsuwtakDCRcyUFGfikYAN+RyzF5Xy4+3fcnAtwd0SfEC9HhAfC0k1MzKyEAvx/p4wMYYUYnSpKECCAzvxQzdqbgSFouJGIRFMqaNT0YgPT8UmxOSsfGxFtwK8tCqciBmlkJqUySRmDdza2UJIkA4k5lIOLLQzh+Iw8A1CbI6iq359t4wmPEChy9R0UwiJW7e5eSpFF8+aXQERArsyrhGqbvSEGZXFlncnycSGIDORNh+o4UrEq4ZqAICTEDn38OREUZ5VTW3dxqZyd0BMSKxJ3KwLK9V/VyrGV7r6JJIymGdgvQy/EIMSsvvQQUFhrlVNadJKOigD17hI6CWIHM/FLM2ZWqdlvxhf3I27NCZZ3Y0QW2ngFwCX8VDi27qn3c7F2p6NnSE/7uxhkvRohJyM/nQ0AGDDDK6ay7ufWPP6igADGKGTtTIK+jedWlVzQ8XpgMjxcmwTn8VShLZcj56TOUpp1Uu79cyTBjp3G6wRNiMq5eBT7+GPjnH6OczrqTJABkZwsdAbFw17KLcCQtt857kA6BXdGofR80av8cXMJfgffwJYDYBiWXDqndX6FkOJKWi7Qc4xV7JkRwleXoqOOOkaSnCx0BsXBbkzIgEes+ZEMsdYLI1g4isUTjPhKxCFtOZDQkPELMS0YGIJUC7u5GOR0lyWvUS5AYVsKVHK16sirLSqAolUFRKkP5P+nI/3M1WPlDOLXro/ExCiVDwtUcfYZLiGm7ehUIDgbExklf1t1xZ+VKoGdPoaMgFqy4TI6M/FKt9s2Jm6m6QmILj4Efw6FF51ofl5FXipIyOZyk1v3nTKxEy5ZGu4oErD1JjhgBODsLHQWxYOl5JdB2NKR7v/GwcW8KAFCU3EdJ6kHk/fEVxHYOcAzR/GWOAbiVV4J2fi4ND5gQUzdpEv9ppCEg1t3ceu4c8O23QkdBLFi5XPvqOHa+reDQvBMcmndCo3Z94PX6HNh6+CN/3zdgitp7YetyHkLMVnk5v0Umr1n831CsO0kmJvKuxEr6gCGGYWdT/z8xkUgM+2YdoCjOR0X+XYOdhxCz8fffQKtWwEn1w6IMwbr/soKCgLIyo1SSJ9apuYcTGlSKXKkAALCKhxp3Ef17HkIs3tV/K1aFhBjtlNadJFu25D+v6qdUGCGPc5LaIKCeFXGYQo4HN88CEhvYevhr3C/Aw5E67RDrcPUq77Tj4WG0U1r3X1ZAAGBrC1y5Ajz/vNDREAvVJ8QLm5PS6xwG8uDGaVTk3QYAKEsLUHLpEOT378L5ydcglqpPtBKxCH1aeek9ZkJM0pUrvLnViKw7SdrYAG+9Bfj5CR0JsWDR4QHYmHirzv1kR7ZW/VtkYwcb9yfg3v99NOqkuUalQskw/Ekqck6sRG4u0Lq1UU9p3UkSAGJjhY6AWLhg78boFeSJ4zfy1F5NNuoQgUYdInQ+rkQsQs9ADwR5NdZHmISYvt9/5z1cjci670kC/AVPTqZC58SgFrwcCpt6lKarjY1YhAUvh+r1mISYLPbvF0wjT3FISfLkSaBrVyBV/TRGhOiDv7sj3ums38H+8wa3o2myiPWIjQXatTPqGEmAkiTQqRMgEvGrSUIM5Pz581g8bjAcru3Xy/Ecru3H8y0b6eVYhJiFU6d4vVYb494lpCTZqBHQpg0lSWIw58+fR9++fdGsWTMcXzsbi14JhdRGrPPMIBKxCFIbMSZ0d0PuoS14/vnnkZ+fb6CoCTExyclAWJjRT0tJEuAv/OnTQkdBLFD1BLl//364ubkhqlsA9n/SGz0D+VivupJl5faegR7Y/0lvfPpyTxw4cAAZGRmUKIl1KC8HUlIESZLUuxUAunUDLlzgN4ZF+u1cQayXugRZyd/dEZvHhONadhG2JmUg4WoOMvJKVYqhi8ALBfRp5YXhTwao9GLt0KEDDhw4gL59++L555/Hvn374G7EmREIMaqLF3mi7NrV6KcWMca0naTAYhQWFsLFxQUymQzOzs6UHIne1ZYgNSkpk+NWXgnK5UrY2YjR3MOpzko6Fy5cQN++fREQEGDSifLMmTMICwtDcnIyunTpInQ4xNxUVPArybZtAXt7AGo+xw2EmluBRwnywQNh4yAWoT4JEuAl7Nr5uaBzgBva+bloVWqu8oqSml6JRbO1Bbp0qUqQxkRJstKrrwIjRwodBTFz9U2QDUGJkli8118H/vhDkFMbNEnm5+cjOjoazs7OcHV1xZgxY1BcXFzr/h9++CFCQkLg4OCAgIAAfPTRR5DJZCr7iUSiGktcXFzDgm3dGjh48NGAVUJ0JESCrESJklisW7eAn382eqWdSgZNktHR0UhNTcW+ffuwe/duHD58GOPGjdO4/927d3H37l0sW7YMFy9exMaNGxEfH48xY8bU2HfDhg24d+9e1TJkyJCGBfvss8A//wCXLjXsOMQqCZkgK1GiJBbp4EF+S6xXL2HOzwzk0qVLDAA7depU1bo//viDiUQidufOHa2P8+OPPzI7OztWUVFRtQ4A27lzZ71jk8lkDACTyWSPVhYXM2Zry9iqVfU+LrFO586dYx4eHqxLly4sPz9f6HDY+fPnmaenJ+vSpQvLy8sTOhzGGGPJyckMAEtOThY6FGJuRoxgrFOnGqvVfo4bgMGuJBMTE+Hq6oqu1brsRkREQCwWIykpSevjVPZcsnmsysIHH3wAT09PdO/eHevXrwerpZm0rKwMhYWFKksNTk5A9+5GnfGamD9TuIJ8HF1REovBGL+S7NNHsBAMNk4yKysLXl6q89zZ2NjA3d0dWVlZWh0jNzcX8+fPr9FEO2/ePDz33HNwdHTE3r178f7776O4uBgfffSR2uMsXLgQc+fOrfuEO3cadTJPYt5MMUFWonGUxGKsWcPn/hWIzleS06dPV9txpvry999/NziwwsJCDBo0CG3btsVnn32msm3WrFl46qmn0LlzZ0ybNg1Tp07F0qVLNR4rJiYGMpmsasnMzFS/Y5MmvDYgIXUw5QRZia4oidkTiYCBA4H27QULQeeMMHnyZFy+fLnWJTAwED4+PsjJyVF5rFwuR35+Pnx8fGo9R1FRESIjI9G4cWPs3LkTtra2te4fHh6O27dvo6ysTO12qVQKZ2dnlUUtpZLfHP7661rPR6ybOSTISpQoiVlbuRL46SdBQ9A5STZp0gStW7eudbGzs0OPHj1QUFCA5GqFw//66y8olUqEh4drPH5hYSH69esHOzs77Nq1C/ZaDB49d+4c3NzcIJVKdX06qsRiPlfZb7817DjEYplTgqxEiZKYJYUCmDdP8MknDNa22KZNG0RGRmLs2LE4efIkjh07hgkTJiAqKgp+fn4AgDt37qB169Y4+W9nmcoEWVJSgtjYWBQWFiIrKwtZWVlQKBQAgN9++w3r1q3DxYsXkZaWhjVr1mDBggX48MMP9RP44MHAX38BRUX6OR6xGOaYICtRoiRm58QJIDcXeOklYeMwZNfZvLw8NmzYMNaoUSPm7OzMRo8ezYqKiqq237x5kwFgCQkJjDHGEhISGAC1y82bNxljfBhJp06dWKNGjZiTkxPr2LEj++abb5hCodA6rlq7Dl+/zhjA2M8/N+SpEwtjasM86kuo4SE0BITobOpUxry8GJPL1W421hAQKnCu7v5kaCifGWT9euMHR0yOOV9BqiNEUXQqcE501qYN0LMnEBurdjMVOBfSjh3UeYcAsLwECVDTKzEDSiXwn/8A774rdCSUJNUKDhak2jwxLZaYICtRoiQmTSwGhg/nBV6EDkXoAEzWO+8Ac+YIHQURiCUnyEqUKInJWrQIOH5c6CgAUJKs3fbtQkdABGANCbISJUpicvLzgZkzgYsXhY4EACVJzQYPBq5coVlBrIw1JchKlCiJSfntNz5G8oUXhI4EACVJzfr3B1xdga1bhY6EGIk1JshKlCiJydi6FejdG/h3PL3QKElqIpXy2bB/+okmYrYC1pwgK1GiJIK7exc4cIB32jERlCRrM3s2v3ksEgkdCTEgSpCPUKIkgnJwABYvBl59VehIqlCSrM0TTwCennQlacEoQdZEiZIIxs0N+PRT/tNEUJKsy6+/Aq1bA+XlQkdC9IwSpGaUKInRXbkCTJkCFBQIHYkKSpJ1CQoCrl4F/vhD6EiIHlGCrBslSmJUmzcD69bxJlcTQkmyLu3aAR07Ui9XC0IJUnuUKIlRKJX8M/b113mnSRNCSVIbw4cDu3aZXDMA0R0lSN1RoiQGd/w4cOuWSfVqrURJUhtvvskHt/75p9CRkAagBFl/lCiJQX33HdCiBfD000JHUgMlSW34+QFpacDQoUJHQuqJEmTDUaIkBvPpp8A33/DC5ibG9CIyVc2a8aEghYVCR0J0RAlSf+qTKEvK5LhZUAE731a4WVCBkjK5ESIlZqVDB6BfP6GjUIsmXdZlss5XX+XfdH76yXDBEb2iBGkYdU3cfC27CFuTMpBwJQcZ+aWo/iEjAhDg7og+IV6IDg9AsHdjo8ZOTIhCwetkf/IJEBGh00Np0mVT1KcPsHMnL51ETB4lSMPRdEWZmV+Kt2KT8PyKw9iclI70xxIkADAA6fml2JyUjudXHMZbsUnIzC81+nMgJuDPP4E9e4DGpvtFiZKkLt56i0/GvHat0JGQOlCCNLzHE2XswcuI+PIQjt/IAwAolLU3UlVuP34jDxFfHkLcqQyDx0xMzNdfA126mMTkyppQktSFiwvvovzdd0BFhdDREA0oQRpPZaK8594R8/+8gTK5ss7k+DiFkqFMrsT0HSlYlXDNQJESk3PzJr+KfP99k66PbSN0AGZn/Hg+39n167xcHTEplCCN71KZK+y61ixIXXxhP/L2rND4OJ+3lkHaVPVvaNneq2jSSIqh3QL0HSYxNZs38wuPYcOEjqRWlCR11bEjkJEBSCRCR0IeQwnS+DLzSzFnV2qt+7j0ioaNi0+N9TZuvmr3n70rFT1besLf3VEvMRITNWMG8PLLgKNp/z9TkqwPiYQnygcPgJAQoaMhoAQplBk7UyCvo3nVIbArpL7BWh9TrmSYsTMFm8eENzQ8YqpKSgAnJyA0VOhI6kT3JOtryBBg0iShoyCgBCmUa9lFOJKWq/M9yLoolAxH0nKRllOk1+MSE1FWBrRpwzvtmAFKkvU1aRK/6Xz+vNCRWDVKkMLZmpQBibjuDhfKshIoSmWqy4Pai3JIxCJsOUG9XS3S5s3A7dt8SJ0ZoObW+oqKAmbNAhYtAn74QehorBIlSGElXMnR6ioyJ25mzZUSWzSbslPjYxRKhoSrOfgM7RoSIjE1CgWwZAlviWvTRuhotEJJsr5sbPgEoR9+CMyfz+edJEZDCVJYxWVyZGhZAMC933jYuDdVWScS1d2IlZFXipIyOZyk9DFlMf73P+DaNbOaepDefQ0xejRw4QL1dDUySpDCS88rqVFJRxM731Y6ddypxADcyitBOz8XnR9LTNTNm8DAgUC3bkJHojW6J9kQDg68cn2LFkJHYjUoQZqGcrnSos5DjGTaND7O3IxQktSH7duBpUuFjsLiUYI0HXY2xvnoMNZ5iIExxptYy8pMcjqs2phXtKYqLQ34z3/4zNrEIChBmpbmHk4wdCEx0b/nIRbgt994Sc+jR4WORGd0T1IfJk4EVq4EZs8Gvv9e6GgsDiVI0+MktUGAuyPStei88+DGaVTk3a6xXvpEG9i61qzEUynAw5E67VgChYJX1+nbly9mht6B+uDkxBPkhAm8x6sZVJEwF5QgTVefEC9sTkqvcxiI7Ij6noweAydqTJISsQh9Wnk1OEZiAjZvBlJTgQ0bhI6kXmjSZX1N1llRwcf9RETwzjykwShBmrZr2UV4fsVhgx1//yfPIMjLdOcZJFooKwNateJTYel5snpjTbpMV5L6YmsLxMcDzZoJHYlFoARp+oK9G6NXkCeO38jTa2k6iViEnoEelCAtgZ0d8OWXQPv2QkdSbwbtuJOfn4/o6Gg4OzvD1dUVY8aMQXFxca2PefbZZyESiVSW9957T2WfjIwMDBo0CI6OjvDy8sKUKVMgl8sN+VS0ExTEk+X167w3F6kXSpDmY8HLobDRojSdLmzEIix4mW5ZmD2lks8T+cor/GrSTBk0SUZHRyM1NRX79u3D7t27cfjwYYwbN67Ox40dOxb37t2rWpYsWVK1TaFQYNCgQSgvL8fx48exadMmbNy4EbNnzzbkU9Feaip/Q+zeLXQkZokSpHnxd3fE3MH6LR03b3A7mibLEnz2GTB0qNlfMBgsSV6+fBnx8fFYt24dwsPD8fTTT2PlypWIi4vD3bt3a32so6MjfHx8qpbq7c179+7FpUuXsGXLFnTq1AkDBgzA/PnzsXr1apSXlxvq6WivbVugd29g6lTAFOIxI5QgzVNUtwB82k8/VwpT+oXQhMuWIDMT+L//A5o351eTZsxgSTIxMRGurq7o2rVr1bqIiAiIxWIkJSXV+titW7fC09MT7du3R0xMDEpLH3UzT0xMRGhoKLy9vavW9e/fH4WFhUhNVT/5a1lZGQoLC1UWgxGJeBv81avAf/9ruPNYGEqQ5m1Cn2AseiUUUhuxVjODVCcRiyC1EWPxK6H4oA/VQLYIkycDzs58/LiZM1jHnaysLHh5qXbhtrGxgbu7O7KysjQ+7s0330SzZs3g5+eHCxcuYNq0abhy5Qp27NhRddzqCRJA1e+ajrtw4ULMnTu3IU9HNx078uEgc+cCb74JNG1a92OsGCVIyxDVLQBPtfTEjJ0pOJKWC4lYVGuHnsrtPQM9sODlUGpitRT79/OerJs380Rp5nROktOnT8fixYtr3efy5cv1Dqj6PcvQ0FD4+vqib9++uH79Olq2bFmvY8bExGBStQmSCwsL4e/vX+8YtTJ3Lr9xbWdn2POYOUqQlsXf3RGbx4TjWnYRtiZlIOFqDjLySlWKoYvACwX0aeWF4U8GUC9WS5OWBvTrB0RHCx2JXuicJCdPnoxRo0bVuk9gYCB8fHyQk5Ojsl4ulyM/Px8+PpqrbDwuPDwcAJCWloaWLVvCx8cHJ0+eVNknOzsbADQeVyqVQiqVan1OvXB15VV4AH7j2szb5Q2BEqTlCvZujM8Gt8NnaIeSMjlu5ZWgXK6EnY0YzT2cqJKOJXvvPeDddy3mM0/nd2qTJk3QpEmTOvfr0aMHCgoKkJycjLCwMADAX3/9BaVSWZX4tHHu3DkAgK+vb9Vxv/jiC+Tk5FQ15+7btw/Ozs5o27atjs/GCH7/nRc/37ePDw8hAChBWhMnqQ1Nd2UNbt8G1q3jM304OAgdjf4wA4qMjGSdO3dmSUlJ7OjRoyw4OJgNGzasavvt27dZSEgIS0pKYowxlpaWxubNm8dOnz7Nbt68yX799VcWGBjInnnmmarHyOVy1r59e9avXz927tw5Fh8fz5o0acJiYmK0jksmkzEATCaT6e/JanLmDGNiMWPLlhn+XGbi3LlzzMPDg3Xp0oXl5+cLHQ4hRB+GDmXM25uxggKjnM5Yn+MGTZJ5eXls2LBhrFGjRszZ2ZmNHj2aFRUVVW2/efMmA8ASEhIYY4xlZGSwZ555hrm7uzOpVMqCgoLYlClTarwIt27dYgMGDGAODg7M09OTTZ48mVVUVGgdl1GTJGOMffABY40aMXbnjnHOZ8IoQRJigQ4cYAxgbNMmo53SWJ/jVLvVGL2v7t8HWrcGevQAdu60mLZ6XVETKyEWqKSE9+j39QUOHzba55uxPsdpPkljcHPjRc8zMgCZTOhoBEEJkhAL9fPPwJ07QGysRV4A0JWkMcfxKBSARGK885kISpCEWLgbN4DAQKOekq4kLZFEApw5w+ectJLvJpQgCbFQJSXAjh38s8zICdKYKEkaW3o6sGwZsG2b0JEYHCVIQizYf/7DCwbUUYvb3FGSNLaXXwaGDQM+/BCopTyfuaMESYgFO3IE+OorYMECiy+7SUlSCF99xQsLvPeeRTa7UoIkxIKVlACjRwM9ewIffSR0NAZHSVIInp68t+uxYxbXVEEJkhALt3o17826YYNVdESk3q1CVqm/f58PD7EQlCAJsQLl5cCpU8BTTwkaBvVutQZubkBuLvDJJ8CDB0JH0yCUIAmxcLduAcnJfGYjgROkMVEpfqHdvQusWQOUlQFffy10NPVCCZIQC1dRAURFAQUFQGqqVTSzVqIrSaF16ACsWMET5U8/CR2NzihBEmIF/vMffhW5aZNVJUiAkqRpePdd4PXXgXfe4ZUrzAQlSEKswB9/8On+Fi4EdJjm0FJQkjQFIhGwdi3g7Q0cPSp0NFqhBEmIFVAqeYWwAQOASZOEjkYQdE/SVLi4ABcuAPb2QkdSJ0qQhFgJsfjRhPFi67ymss5nbars7XlxgdmzgS1bhI5GLUqQhFiJNWt473tfXz6220pRkjRFmZn8/uTJk0JHooISJCFWIjYWeP99YPduoSMRHCVJUyMS8Wo8XboAQ4aYTEUeSpCEWIljx4Dx43mHwlGjhI5GcJQkTZFUyqegkUh4QfSHDwUNhxIkIVYiIwN45RWgRw9eY5pQkjRZPj7AL78ALVvyyZoFQgmSECuSmAg0bgz8/DOvrEOodqugtVt1UVgIGDlWSpCEWKGHD82ilz3VbiWP/P030KIFsGeP0U5JCZIQK/L558CMGfzfZpAgjYmSpDlo1Qro1YtX5UlKMvjpKEESYkU2bABmzQIcHISOxCRRkjQHYjGwbRvQqRMwaBBw5YrBTkUJkhArsns3MHYs78k6c6bQ0ZgkSpLmwtER+O03XrouKooXHahDSZkcqXdlOJtxH6l3ZSgpk9e6PyVIQqzI2bPAG28AL73EJ1IWiYSOyCRRWTpz4u4O/PknIJNpfENfyy7C1qQMJFzJQUZ+KaqnUhGAAHdH9AnxQnR4AIK9G1dtowRJiJVp3RqYOhWYPt3qZvbQBfVuNZferY8rLQUWLOBT2Dg4IDO/FDN2puBIWi4kYhEUSs3/rZXbewV5YsHLocjPvEYJkhBrkZkJ3L/Pp+kzY8b6HKckaa5J8swZ4Omngf79ETf9S8zZfRlyJas1OT5OIhZBImIoTFiPpg9vUYIkxNLl5/PPDTs7/hlixkXLjfU5Ts2t5qpLF+DHH7Fq0VYs+yW1XodQKBnkjMH+mbcR1SuAEiQhlqyoCHjhBSAnh5eeM+MEaUz0KpmxOO8OWNZruMbtRWd+R/qiF3Bvk+Z54ET/3ttcfSQD209l6D1GQogJKCnhPeNTU/kkyiEhQkdkNihJmqnM/FLM2VX7FWRJ6kFIXLxRfu8qKu7XXSh99q5UZOaX6itEQoipuHEDuHULiI8HunUTOhqzQknSTM3YmQJ5LfcfKwqyUHbnMtyfGwOxowtKUg/WeUy5kmHGzhQ9RkkIEVRpKVBWBoSGAteu8cLlRCeUJM3QtewiHEnLrbWTTknqQYjtG8EhqBscQ57SKkkqlAxH0nKRllOkx2gJIYIoKeH3ICunu5JKBQ3HXFGSNENbkzIgEdc+8Lfk0kE4tuoJkcQWTm2fgfz+XZTdu1rnsSViEbacoHuThJi14mJg4EA+cfv77wsdjVmjJGmGEq7k1HoVWZaVBnnebTi2fQYAIH2iHSSNPbW+mky4mqOvUAkhxlZYCERG8oo6e/fyus+k3ihJmpniMjky6uhcU5KaALGTK+wDQgHwHqxObXqh5PJhMGXdc1Nm5JXWWcKOEGKiNm8GLl4E9u0DevYUOhqzZ9AkmZ+fj+joaDg7O8PV1RVjxoxBcXGxxv1v3boFkUikdvnpp5+q9lO3PS4uzpBPxWSk55WgtnIBTKlA6eUjsA/oALksGxX376Li/l3Y+YVAWVKAh+nn6zwHA3Arr0RvMRNCjKD03y/P778PnD8PhIcLG4+FMGgxgejoaNy7dw/79u1DRUUFRo8ejXHjxmHbtm1q9/f398e9e/dU1n333XdYunQpBgwYoLJ+w4YNiIyMrPrd1dVV7/GbonK5stbtD9MvQFGcj9LLh1F6+XCN7SWpB+HQokuDz0MIMSFnz/JOOuvWAQMGAM2aCR2RxTBYkrx8+TLi4+Nx6tQpdO3aFQCwcuVKDBw4EMuWLYOfn1+Nx0gkEvj4+Kis27lzJ9544w00atRIZb2rq2uNfa2BnU3tF/8lqQchdnSFe7/3amwrvZqI0quJUFaUQWxbe0+3us5DCDERf/0FDBnCCwT8+1lL9Mdgn4SJiYlwdXWtSpAAEBERAbFYjCQtJw5OTk7GuXPnMGbMmBrbPvjgA3h6eqJ79+5Yv349aitBW1ZWhsLCQpXFXDX3cIKmfq3KijKUXj0Oh6BucGr9dI2lcZcXwMof4EFa7a+/6N/zEEJM3I8/8ivHJ5/kybJJE6EjsjgGS5JZWVnw8vJSWWdjYwN3d3dkZWVpdYzY2Fi0adMGPR+7+Txv3jz8+OOP2LdvH1599VW8//77WLlypcbjLFy4EC4uLlWLv7+/7k/IRDhJbRDg7qh224O0JLDyB3AMUn8vQto0RKvCAgEejnCSUllfQkxaRQUwdy7w2mt88uTGjet+DNGZzkly+vTpGjvXVC5///13gwN78OABtm3bpvYqctasWXjqqafQuXNnTJs2DVOnTsXSpUs1HismJgYymaxqyczMbHB8QuoT4qV2nGRJ6kGIbOxg36KT2seJRGI4tOyGBzfOQPFA/dW0RCxCn1ZearcRQkyAXA5kZwO2tsChQ7w3q52d0FFZLJ0vFyZPnoxRlRUcNAgMDISPjw9yclTH28nlcuTn52t1L/Hnn39GaWkpRowYUee+4eHhmD9/PsrKyiBVU1VCKpWqXW+uosMDsDHxVo31Xq/NrvOxnoMmwnPQRI3bFUqG4U8GNCA6QojB3L8PDB0K/PMPkJwMeHoKHZHF0zlJNmnSBE20aPfu0aMHCgoKkJycjLCwMADAX3/9BaVSiXAtuibHxsZi8ODBWp3r3LlzcHNzs6hEWJtg78boFeSJ4zfydJo/si4SsQg9Az0Q5EXNNoSYnMuXgcGD+ZyQP/1EU10ZicFe5TZt2iAyMhJjx47FyZMncezYMUyYMAFRUVFVPVvv3LmD1q1b4+TJkyqPTUtLw+HDh/HOO+/UOO5vv/2GdevW4eLFi0hLS8OaNWuwYMECfPjhh4Z6KiZpwcuhsKmjNJ1OGIONiB+XEGJi9uzh4x6lUl5q7rnnhI7Iahj0q8jWrVvRunVr9O3bFwMHDsTTTz+N7777rmp7RUUFrly5gtJS1Qoy69evxxNPPIF+/frVOKatrS1Wr16NHj16oFOnTvj222+xfPlyzJkzx5BPxeT4uzti7uB2+jugSIR5L7aDv4ZOQYQQAT14wBNjYiLQsqXQ0VgVEatt7ISFKiwshIuLC2QyGZydnYUOp0FWJVzDsr11Fy6vy5R+IfigTxCQkACcOAFMm0bNOYQIqbQU2LIFGDsWEIkAxvhPAsB4n+P0KWjmJvQJxqJXQiG1Edc5M8jjJGIRpDZiLH4llCdIADh9GpgxA3jxRSA31wARE0LqlJoKdO8OTJwIXLnC11GCFAQlSQsQ1S0A+z/pjZ6BHgBQZ7Ks3N4z0AP7P+mNod2q9WadMoXf/zh5EujYkXcxJ4QYB2O8tFy3bvz3U6eA1q2FjcnKUXOrmTe3Pu5adhG2JmUg4WoOMvJKVYqhi8ALBfRp5YXhTwbU3ov1zh0gOpr/vHSJj8kihBjWjz/yIR5jxwIrVgCO1EdAE2N9jlOStLAkWV1JmRy38kpQLlfCzkaM5h5OulXSUSh4kgwIADIzARsbwNfXcAETYq3y8gAPD14oYP9+Ph8kqRXdkyQN5iS1QTs/F3QOcEM7PxfdS81JJDxBAsDHH/Pm1z//1H+ghFgrxoCVK/msHadP8y+ilCBNCiVJop1vvgHCwvgf8McfAyU03yQhDXL3Lu8g99FHwJgxQCiNUTZFlCSJdry8gN9/B778Eli7Fnj6aUBJc04SUi+HDgHt2vHScrt2Af/9Ly8UQEwOTfVAtCcW8y7pgwbxLupi8aMrSieaWouQOsnlvEm1fXveMW7ePMDdXeioSC3oSpLoLjiYT/IKADEx/F7lkSOChkSISWMM2LSJD+fIyuKddFatogRpBihJkob58EPAxwfo3ZvuVRKizp07/N7jqFFAjx7UrGpmKEmShgkO5vdX/u//gO++41eVxcVCR0WIadi589G9x19/5XM/urkJHRXRASVJ0nASCfDJJ8CFC/zKslEj3qknPV3oyAgRRuWkDc2b8+IAqal8mitidihJEv0JDuZNrgD/xhwSAsyZw2cwIMQaZGcDI0fyZlW5HOjcGfj2W7r3aMYoSRLDeO01YPJkYNEioG1b3s3d+oo7EWshl/NhHK1a8aFSEybQLDoWgv4XiWE4OQFffAFcvMivKF96iRdOJ8QSDRrEbzm8+SaftWPsWEqSFoL+F4lhBQcDf/zBy9lVlttavx64d0/YuAhpqAsXeE1jgCfIkyeBNWv48A5iMShJEsMTiYB+/XgHn4ICPqFzy5Z83sqCAqGjI0Q3N28Cb70FdOrEm1gB/gWwa1dBwyKGQUmSGJerK5CWBkyaxD9gAgN5qTtCTN0///A6qyEhfKaOr78GFi4UOipiYJQkifG5uACff86TZVTUo6EiFRW8AwQhpqSyw9n9+8C2bcDcufy9+957NM+qFaD5JC14PkmzwRhvkl2xgk8bNGUKr05iby90ZMSa5eUBX33F76kfPQrY2QEPH9L70kTQfJLEeohE/GefPvy+zvvvAy1aAEuWAIWFwsZGrM/t27wjTkAAsGwZ0LPno7G+lCCtDiVJYjo6dgS2b+dd6F94AZg5E0hI4Nusr8GDCIExPpxj40Y+zjc9nbdwuLgIHRkRCDW3UnOr6bp7lxdPF4uB118HfH35B1ezZkJHRixJcjIvejFnDp/C6uJF/h5r3FjoyEgtqLmVED8/niAZ47O2b93Ke8O+9BIfd0mTPpP6eviQl07s0YM38Z89C+Tk8G3t21OCJFUoSRLTJxIBs2cDGRl8sPatW8DLLz+6X1leLmh4xIxUNpzNnQuMGAE4OwO//AL8/Tfw3HOChkZMEzW3UnOr+WGMD+gODASKioCgIGDgQN7hp1s3oaMjpkahAOLj+bjG557jTfZ37vCZOoKDhY6O1BM1txKiiUjEE2SlTz7hHXy6d+dNZ6tWUUcfwlse5szhX6JeeAHIyuK9pgGgaVNKkEQrlCSJeWvcGJg+Hbh+HfjtN34f87ffeCJVKoEffwRKSoSOkhhLTg5vOgWAy5d5Nac+fYCkJOD0aeCVV4SNj5gdam6l5lbLo1TyDj+nT/PmVycnfg8zOhqIiABsbISOkOhTSQm/r7h1K7B3L/D887wAgELB71c7OAgdITEAam4lpL4qpyjq2hW4cQOIieEJc8CAR50zGAPKyoSLkTRM5Xf7o0cBb29g+HB+f3rVKmDLFr5NIqEESRqMriTpStI6MMa7+efm8hlJ/v6bX2X26wcMHsw7/jRpInSUpDY3bvCm9F27+L3Fdet4PdXVq3krQeX9RmIV6EqSEH0SiYAuXXhSBPhsJDNm8IIFo0fzogWvvvpof+v77mi6jh/n42RbtgSmTuU1VHv35tvc3HhlJkqQxEDo5gyxTj4+vBk2Job3evz9dz7AHOCdP8LC+Afxs8/ypWXLRzVmiWEoFMD588DBg7y3cufOwLx5/P8qLIyPbXz+eRroT4yKkiQhPj7AmDGPflcogGHD+If1Dz/wjkAhIby3pEgE3LvHH0NJs2GUSn5f2MEBiIsDxo/nk3Db2/Oi4s2b8/0CA3ktVUIEQEmSkMf5+vIZSABAJuOdQ+7c4Unx4UP+oe3uzjsGhYXxpW9fmiGiLpmZwIkTvFZqcjLvTDV1Kr+ab9OGj3ft04ePd5VKhY6WEADUcYc67hDdlJfzYQZHjz76sL9/n18BubjwmeorKnji7NiRD1q3titOhYJXRDp7lr8+48bxLxYff8znZ3ziiUdfLl58EejUSeiIiRky2uc4M5DPP/+c9ejRgzk4ODAXFxetHqNUKtmsWbOYj48Ps7e3Z3379mVXr15V2ScvL4+9+eabrHHjxszFxYW9/fbbrKioSKfYZDIZA8BkMplOjyOkBqWSsYyMR7+/9RZjbm6M8a4/jDk5MRYfz7edOMHY5s2MnTzJWEGBMPHqi1LJWFYWY4cPM/b994/WDxzImJ3do+f/xBOMHTjAt925wx9DiB4Y63PcYM2t5eXleP3119GjRw/ExsZq9ZglS5bgq6++wqZNm9CiRQvMmjUL/fv3x6VLl2D/b1NWdHQ07t27h3379qGiogKjR4/GuHHjsG3bNkM9FUI0E4kAf/9Hv3//PU8Pt24BKSnA1atA69Z8265dwIIFj/b18gImTuTNjXfv8vtuvr68alDlT09PIz6ZfykUvPPS3bv8/uvdu4CHB+/9+88/QGQkkJb2qMC8WMyLNTRqxIfTDBgAtGrFr6S9vR8d18/P+M+FkAYyeHPrxo0bMXHiRBQUFNS6H2MMfn5+mDx5Mj799FMAgEwmg7e3NzZu3IioqChcvnwZbdu2xalTp9C1a1cAQHx8PAYOHIjbt2/DT8MfYVlZGcqqDRyXyWQICAhAZmYmNbcS4yoq4gmmcmnfnjc5njrF58y8f//Rvk2a8H0AXnu0qIgnospl6lTeoejwYd60KZHwhCUW8/kQ09N5wlYq+aJQAB99xLcvX86TeFERUFzMl2nTeCzffQdMmfIoDpGIn3/LFt7RZsoUPuQiKIjXP23enO7HEqMrLCyEv78/CgoK4GLISbENep3KGNuwYYNWza3Xr19nANjZs2dV1j/zzDPso48+YowxFhsby1xdXVW2V1RUMIlEwnbs2KHx2HPmzGEAaKGFFlposbDl+vXrOuclXZhM79asrCwAgHf15pl/f6/clpWVBS8vL5XtNjY2cHd3r9pHnZiYGEyaNKnq94KCAjRr1gwZGRmG/QaiZ5XfnMztCthc4wbMN3aK27gobuOrbBF0d3c36Hl0SpLTp0/H4sWLa93n8uXLaF15D8ZESKVSSNV0KXdxcTG7NwYAODs7U9xGZq6xU9zGRXEbn1hs2MJxOiXJyZMnY9SoUbXuE1h9nj8d+Pj4AACys7Ph6+tbtT47Oxud/u0i7uPjg5ycHJXHyeVy5OfnVz2eEEII0RedkmSTJk3QxEBFoFu0aAEfHx8cOHCgKikWFhYiKSkJ48ePBwD06NEDBQUFSE5ORlhYGADgr7/+glKpRHh4uEHiIoQQYr0Mdp2akZGBc+fOISMjAwqFAufOncO5c+dQXFxctU/r1q2xc+dOAIBIJMLEiRPx+eefY9euXUhJScGIESPg5+eHIUOGAADatGmDyMhIjB07FidPnsSxY8cwYcIEREVFaezZqo5UKsWcOXPUNsGaMorb+Mw1dorbuChu4zNa7IbqETRy5Ei1PZESEhKq9gHANmzYUPV7ZTEBb29vJpVKWd++fdmVK1dUjpuXl8eGDRvGGjVqxJydndno0aN1LiZACCGEaMMqy9IRQggh2qD5JAkhhBANKEkSQgghGlCSJIQQQjSgJEkIIYRoYJFJ8osvvkDPnj3h6OgIV1dXrR7DGMPs2bPh6+sLBwcHRERE4Nq1ayr75OfnIzo6Gs7OznB1dcWYMWNUhrTog67nuHXrFkQikdrlp59+qtpP3fa4uDjB4gaAZ599tkZM7733nso+GRkZGDRoEBwdHeHl5YUpU6ZALpcLFnd+fj4+/PBDhISEwMHBAQEBAfjoo48gk8lU9tP367169Wo0b94c9vb2CA8Px8mTJ2vd/6effkLr1q1hb2+P0NBQ7NmzR2W7Nu93fdEl9rVr16JXr15wc3ODm5sbIiIiauw/atSoGq9tZGSkoHFv3LixRkz2jxV9N9Zrrkvc6v4GRSIRBg0aVLWPMV7vw4cP48UXX4Sfnx9EIhF++eWXOh9z8OBBdOnSBVKpFEFBQdi4cWONfXT9u1FL0L61BjJ79my2fPlyNmnSJK3nsly0aBFzcXFhv/zyCzt//jwbPHgwa9GiBXvw4EHVPpGRkaxjx47sxIkT7MiRIywoKIgNGzZMr7Hreg65XM7u3bunssydO5c1atRIZWgM/h1uU32/6s/N2HEzxljv3r3Z2LFjVWKqPjecXC5n7du3ZxEREezs2bNsz549zNPTk8XExAgWd0pKCnvllVfYrl27WFpaGjtw4AALDg5mr776qsp++ny94+LimJ2dHVu/fj1LTU1lY8eOZa6uriw7O1vt/seOHWMSiYQtWbKEXbp0ic2cOZPZ2tqylJSUqn20eb/rg66xv/nmm2z16tXs7Nmz7PLly2zUqFHMxcWF3b59u2qfkSNHssjISJXXNj8/X9C4N2zYwJydnVViynps7kxjvOa6xp2Xl6cS88WLF5lEIlEZmmeM13vPnj3sP//5D9uxYwcDwHbu3Fnr/jdu3GCOjo5s0qRJ7NKlS2zlypVMIpGw+Mq5W5nur4UmFpkkK2k7A4lSqWQ+Pj5s6dKlVesKCgqYVCplP/zwA2OMsUuXLjEA7NSpU1X7/PHHH0wkErE7d+7oJV59naNTp07s7bffVlmnzRuvvuobd+/evdnHH3+scfuePXuYWCxW+bBZs2YNc3Z2ZmVlZYLF/bgff/yR2dnZsYqKiqp1+ny9u3fvzj744IOq3xUKBfPz82MLFy5Uu/8bb7zBBg0apLIuPDycvfvuu4wx7d7v+qJr7I+Ty+WscePGbNOmTVXrRo4cyV566SW9xvk4XeOu67PGWK95Q1/vL7/8kjVu3JgVFxdXrTPG612dNn87U6dOZe3atVNZN3ToUNa/f/+q3xv6WlSyyOZWXd28eRNZWVmIiIioWufi4oLw8HAkJiYCABITE+Hq6lo1jyUAREREQCwWIykpSS9x6OMcycnJOHfuHMaMGVNj2wcffABPT090794d69evB9PTENmGxL1161Z4enqiffv2iImJQWlpqcpxQ0NDVWaG6d+/PwoLC5Gamipo3NXJZDI4OzvDxka1yqM+Xu/y8nIkJyervDfFYjEiIiKq3puPS0xMVNkf4K9b5f7avN/1oT6xP660tBQVFRU1Zno4ePAgvLy8EBISgvHjxyMvL0/wuIuLi9GsWTP4+/vjpZdeUnmPGuM118frHRsbi6ioKDg5OamsN+TrXR91vcf18VpUMpmpsoRkyGm6dI2joeeIjY1FmzZt0LNnT5X18+bNw3PPPQdHR0fs3bsX77//PoqLi/HRRx8JFvebb76JZs2awc/PDxcuXMC0adNw5coV7Nixo+q46v5PKrcJFXd1ubm5mD9/PsaNG6eyXl+vd25uLhQKhdrX4e+//1b7GE2vW/X3cuU6TfvoQ31if9y0adPg5+en8mEXGRmJV155BS1atMD169cxY8YMDBgwAImJiZBIJILEHRISgvXr16NDhw6QyWRYtmwZevbsidTUVDzxxBNGec0b+nqfPHkSFy9eRGxsrMp6Q7/e9aHpPV5YWIgHDx7g/v37DX7vVTKbJGmu03QB2sfeUA8ePMC2bdswa9asGtuqr+vcuTNKSkqwdOnSWj+0DR139cQSGhoKX19f9O3bF9evX0fLli3rfVxjvd6FhYUYNGgQ2rZti88++0xlW31eb6Jq0aJFiIuLw8GDB1U6wURFRVX9OzQ0FB06dEDLli1x8OBB9O3bV4hQ0aNHD/To0aPq9549e6JNmzb49ttvMX/+fEFi0lVsbCxCQ0PRvXt3lfWm+Hobk9kkSXOepkvb2Bs6FdjPP/+M0tJSjBgxos59w8PDMX/+fJSVlWksEGysuKvHBABpaWlo2bIlfHx8avRGy87OBoBaj2uMuIuKihAZGYnGjRtj586dsLW1rXV/bV5vdTw9PSGRSKqed6Xs7GyNMfr4+NS6vzbvd32oT+yVli1bhkWLFmH//v3o0KFDrfsGBgbC09MTaWlpevnQbkjclWxtbdG5c2ekpaUBMM5r3pC4S0pKEBcXh3nz5tV5Hn2/3vWh6T3u7OwMBwcHSCSSBv8fVtHpDqaZ0bXjzrJly6rWyWQytR13Tp8+XbXPn3/+aZCOO/U9R+/evWv0stTk888/Z25ubvWOtTp9vTZHjx5lANj58+cZY4867lTvjfbtt98yZ2dn9vDhQ8Hilslk7Mknn2S9e/dmJSUlWp2rIa939+7d2YQJE6p+VygUrGnTprV23HnhhRdU1vXo0aNGx53a3u/6omvsjDG2ePFi5uzszBITE7U6R2ZmJhOJROzXX39tcLyV6hN3dXK5nIWEhLBPPvmEMWa817y+cW/YsIFJpVKWm5tb5zkM8XpXBy077rRv315l3bBhw2p03GnI/2FVPDrtbSbS09PZ2bNnq4ZCnD17lp09e1ZlSERISAjbsWNH1e+LFi1irq6u7Ndff2UXLlxgL730ktohIJ07d2ZJSUns6NGjLDg42CBDQGo7x+3bt1lISAhLSkpSedy1a9eYSCRif/zxR41j7tq1i61du5alpKSwa9eusa+//po5Ojqy2bNnCxZ3WloamzdvHjt9+jS7efMm+/XXX1lgYCB75plnqh5TOQSkX79+7Ny5cyw+Pp41adJE70NAdIlbJpOx8PBwFhoaytLS0lS6xcvlcsaY/l/vuLg4JpVK2caNG9mlS5fYuHHjmKura1Wv37feeotNnz69av9jx44xGxsbtmzZMnb58mU2Z84ctUNA6nq/64OusS9atIjZ2dmxn3/+WeW1rfzbLSoqYp9++ilLTExkN2/eZPv372ddunRhwcHBevniVN+4586dy/788092/fp1lpyczKKiopi9vT1LTU1VeW6Gfs11jbvS008/zYYOHVpjvbFe76KioqrPaQBs+fLl7OzZsyw9PZ0xxtj06dPZW2+9VbV/5RCQKVOmsMuXL7PVq1erHQJS22uhLYtMkuY8TVdd57h582aN58IYYzExMczf358pFIoax/zjjz9Yp06dWKNGjZiTkxPr2LEj++abb9Tua6y4MzIy2DPPPMPc3d2ZVCplQUFBbMqUKSrjJBlj7NatW2zAgAHMwcGBeXp6ssmTJ6sMtTB23AkJCWrfWwDYzZs3GWOGeb1XrlzJAgICmJ2dHevevTs7ceJE1bbevXuzkSNHquz/448/slatWjE7OzvWrl079vvvv6ts1+b9ri+6xN6sWTO1r+2cOXMYY4yVlpayfv36sSZNmjBbW1vWrFkzNnbsWJ0/+PQd98SJE6v29fb2ZgMHDmRnzpxROZ6xXnNd3yt///03A8D27t1b41jGer01/V1Vxjpy5EjWu3fvGo/p1KkTs7OzY4GBgSqf55Vqey20RVNlEUIIIRrQOElCCCFEA0qShBBCiAaUJAkhhBANKEkSQgghGlCSJIQQQjSgJEkIIYRoQEmSEEII0YCSJCGEEKIBJUlCCCFEA0qShBBCiAaUJAkhhBAN/h8WbotbYqVS/AAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -254,21 +254,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'A': 0.11785113019775861,\n",
-       " 'B': 0.11785113019775795,\n",
-       " 'C': -0.5892556509887904,\n",
-       " 'D': -1.2963624321753375,\n",
-       " 'E': 1.532064692570853,\n",
-       " 'F': 0.11785113019775761}"
+       "{'A': 0.11043152607484681,\n",
+       " 'B': 0.11043152607484658,\n",
+       " 'C': -0.11043152607484681,\n",
+       " 'D': -0.3312945782245397,\n",
+       " 'E': 0.5521576303742327,\n",
+       " 'F': 0.11043152607484646}"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -289,13 +289,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -320,13 +320,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -361,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -394,18 +394,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Internally set radius is: 4.1036569057366385\n",
-      "Thresholds chosen are: [-4.10365691 -3.67169302 -3.23972914 -2.80776525 -2.37580137 -1.94383748\n",
-      " -1.5118736  -1.07990971 -0.64794583 -0.21598194  0.21598194  0.64794583\n",
-      "  1.07990971  1.5118736   1.94383748  2.37580137  2.80776525  3.23972914\n",
-      "  3.67169302  4.10365691]\n"
+      "Internally set radius is: 1.2\n",
+      "Thresholds chosen are: [-1.2        -1.07368421 -0.94736842 -0.82105263 -0.69473684 -0.56842105\n",
+      " -0.44210526 -0.31578947 -0.18947368 -0.06315789  0.06315789  0.18947368\n",
+      "  0.31578947  0.44210526  0.56842105  0.69473684  0.82105263  0.94736842\n",
+      "  1.07368421  1.2       ]\n"
      ]
     }
    ],
@@ -433,7 +433,7 @@
     {
      "data": {
       "text/plain": [
-       "array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])"
+       "array([0, 0, 0, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0])"
       ]
      },
      "execution_count": 12,
@@ -459,7 +459,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkQAAAHHCAYAAABeLEexAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA2QElEQVR4nO3df1yV9f3/8ecB4wAqJCq/DAXTdP4CEyFMS2+RyFyLfcrU2ldlabNpy8+pLLoVtOYnmiuHKyZWKrVl/lgNZzrM0dA58bduM2dTh2LqQbTgACYgnO8ffTqfToACAufA9bjfbtetzvt6X+/zentEnud9Xec6JrvdbhcAAICBebi6AAAAAFcjEAEAAMMjEAEAAMMjEAEAAMMjEAEAAMMjEAEAAMMjEAEAAMMjEAEAAMMjEAEAAMMjEAFoV3v37tWYMWPUtWtXmUwmHTp0yNUlAQCBCOhssrOzZTKZGt127drl1P/EiRP68Y9/rP79+8vb21t+fn66/fbbtXTpUn355Zf1xm9u/2+qqanRlClT9Pnnn+tXv/qVfvvb36pfv36tOn8jqKioUFpamiZNmqSAgACZTCZlZ2c3+fj8/Pwm/f2YNWvWVf8unTlzpg1mB7hGF1cXAKBtvPjii4qIiKjXPmDAAMf/b9q0SVOmTJHZbNaMGTM0bNgwVVdXa8eOHXrqqaf0ySef6I033mhx/287ceKETp06pTfffFOzZ89u3QkbyIULF/Tiiy+qb9++ioyMVH5+fovG+elPf6rRo0c7tX3z78ePf/xjxcfHO+232+2aO3euwsPD1adPnxY9L+COCERAJ5WYmKjo6OhG9xcWFmratGnq16+fPv74Y4WEhDj2zZs3T8ePH9emTZta3L8h58+flyTdeOONLZxVfZWVleratWurjdcRhISE6Ny5cwoODta+ffvqhZqmGjdunO6///5G98fFxSkuLs6pbceOHbp06ZIeeuihFj0n4K44ZQYY1OLFi1VRUaEVK1Y4hZuvDRgwQI8//niL+3/brFmzdOedd0qSpkyZIpPJpPHjx0uSDh48qMTERPn5+albt26666676p3ak6QXXnhBJpNJR44c0YMPPqgePXpo7NixV51ncXGxbrzxRs2dO7fB/RcvXpTJZNKTTz551XHcidlsVnBwcKuMVV5eritXrjS5/+rVq2UymfTggw+2yvMD7oIVIqCTKisr04ULF5zaTCaTevbsKUnauHGj+vfvrzFjxjRpvOb2/7Yf//jH6tOnj1566SXHqZqgoCB98sknGjdunPz8/LRw4ULdcMMNWr58ucaPH69t27YpNja23lhTpkzRwIED9dJLL8lut1/1eZ9//nlVV1frxRdfbHB/z549FRISor179za4v6amRmVlZU2aY0BAgDw8Os77zOTkZFVUVMjT01Pjxo3TL3/5y6uuKtbU1GjdunUaM2aMwsPD269QoB0QiIBO6tvXfkhfrSxcvnxZNptNZ86c0b333tuksZrbvyFxcXGqqqrSSy+95HSq5gc/+IFqamq0Y8cO9e/fX5I0Y8YMDRo0SAsXLtS2bdvqjRUZGanVq1df8zlPnz6t7OxszZkzR4GBgY3269OnjwoLCxvc97e//U0TJkxoyhRVWFjYIYKCl5eX7rvvPn33u99Vr169dOTIEb3yyisaN26cdu7cqZEjRzZ43JYtW3Tx4kVOl6FTIhABnVRmZqZuueUWpzZPT09JXwUcSerevXuTxmpu/6aqra3VRx99pKSkJEcYkr66RubBBx/Um2++KZvNJj8/P6fjGjv99W0rV65UTU2NfvSjHznaqqurVVtbKx8fH0fbDTfc0Ogn5CIjI7V169YmPV9TTmPV1dWpurq6SeOZzWaZTKYm9W2OMWPGOK30ff/739f999+vESNGKCUlRbm5uQ0et3r1at1www164IEHWr0mwNUIREAnFRMT0+jpj68DRnl5eZPGam7/piopKdGlS5c0aNCgevu+853vqK6uTqdPn9bQoUOd9jX06bmGbNq0Sb1799aoUaMcbQ8++KDKy8u1ZcsWR9vFixcdpxK/rUePHg2utrXU9u3bm7zi9K9//UuDBw9utee+mgEDBujee+/VBx98oNraWkd4/lpFRYU2bNighISERv+sgI6MQAQYkJ+fn0JDQ3X48OE26d/Wvrm60xi73a5//vOf9a5B2rVrl9Opv7KyMp04cUL33Xdfg+NUV1fr888/b1JdvXv3rhckvm3w4MFatWpVk8Zr6OL1thQWFqbq6mpVVlbWW5XLycnh02Xo1AhEgEF973vf0xtvvKGCgoJ6H61ujf5N0bt3b/n6+urTTz+tt+/o0aPy8PBQWFhYi8YuLy/X5cuXnU5jHTx4UGfOnHH62H9eXp5qa2s1ceLEBsfZuXNnq15DFBwcrFmzZjVpvPb2n//8R97e3urWrVu9fe+++666deum73//+y6oDGh7BCLAoBYuXKh3331Xs2fP1scff6ygoCCn/SdOnNCHH37o+Ch9c/s3haenpyZOnKgNGzbo5MmTjjBRXFys1atXa+zYsfVWKprKbDZLks6ePetoy8jIUGBgoOPTd7W1tXrllVfk5+fX6P14WvsaovZ26dIlFRUVqVevXurVq5ekr05V9u7d26nf3//+d/3xj39UYmJivU/KlZSU6M9//rOmT58uX1/fdqsdaE8EIqCT+tOf/qSjR4/Wax8zZoz69++vm2++WatXr9bUqVP1ne98x+nO0zt37tT69eudVjKa27+pFi1apK1bt2rs2LH6yU9+oi5dumj58uWqqqrS4sWLWzx/s9ms0aNH669//aueffZZXb58WZs3b5bFYtHixYs1bNgw5ebmqqCgQFlZWfL3929wnNa+hqi1vP766yotLXUEvo0bN+qzzz6TJD322GOO+ezZs0cTJkxQWlqaXnjhBUnS1KlT5ePjozFjxigwMFBHjhzRG2+8IV9fX7388sv1nmvt2rW6cuUKp8vQudkBdCqrVq2yS2p0W7VqlVP/f//73/Y5c+bYw8PD7V5eXvbu3bvbb7/9dvtrr71mv3z5cr3xm9v/m/7yl7/YJdnXr1/v1H7gwAF7QkKCvVu3bnZfX1/7hAkT7Dt37qx3fFpaml2SvaSkpEl/Fv/4xz/st956q91sNttvvfVW+65du+ylpaX2u+66y+7t7W2/5ZZb7CtWrGjSWO6mX79+jb7GhYWFjn5f/5mnpaU52pYuXWqPiYmxBwQE2Lt06WIPCQmx//CHP7QfO3aswee67bbb7IGBgfYrV6608awA1zHZ7de4qxkAAEAn13FuqQoAANBGCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwuDFjE9TV1ens2bPq3r17m3zzNAAAaH12u13l5eUKDQ2tdwf2byMQNcHZs2db/H1KAADAtU6fPq2bbrrpqn0IRE3QvXt3SV/9gbb0e5UAAED7stlsCgsLc/wevxoCURN8fZrMz8+PQAQAQAfTlMtduKgaAAAYHoEIAAAYHoEIAAAYHoEIAAAYHoEIAAAYHoEIAAAYHoEIAAAYHoEIAAAYHoEIAAAYHoEIAAAYnlsFovT0dI0ePVrdu3dXYGCgkpKS9Omnn17zuPXr12vw4MHy9vbW8OHDtXnzZqf9drtdqampCgkJkY+Pj+Lj43Xs2LG2mgYAAOhg3CoQbdu2TfPmzdOuXbu0detW1dTUaOLEiaqsrGz0mJ07d2r69Ol6+OGHdfDgQSUlJSkpKUmHDx929Fm8eLF+/etfKysrS7t371bXrl2VkJCgy5cvt8e0AACAmzPZ7Xa7q4toTElJiQIDA7Vt2zbdcccdDfaZOnWqKisr9eGHHzrabrvtNkVFRSkrK0t2u12hoaF64okn9OSTT0qSysrKFBQUpOzsbE2bNu2addhsNvn7+6usrIwvdwWuk91u15c1ta4u47r43ODZpC+LBOBazfn97dbfdl9WViZJCggIaLRPQUGBLBaLU1tCQoJycnIkSYWFhbJarYqPj3fs9/f3V2xsrAoKChoMRFVVVaqqqnI8ttls1zMNAP/Lbrfr/qwC7T/1hatLuS7R/Xpo/dw4QhHQibjVKbNvqqur04IFC3T77bdr2LBhjfazWq0KCgpyagsKCpLVanXs/7qtsT7flp6eLn9/f8cWFhZ2PVMB8L++rKnt8GFIkvad+qLDr3IBcOa2K0Tz5s3T4cOHtWPHjnZ/7pSUFKdVJ5vNRigCWtm+5+Ll6+Xp6jKa5VJ1raIX/dnVZQBoA24ZiObPn68PP/xQ27dv10033XTVvsHBwSouLnZqKy4uVnBwsGP/120hISFOfaKiohoc02w2y2w2X8cMAFyLr5enfL3c8p8gAAbkVqfM7Ha75s+frz/84Q/6+OOPFRERcc1j4uLilJeX59S2detWxcXFSZIiIiIUHBzs1Mdms2n37t2OPgAAwNjc6u3ZvHnztHr1am3YsEHdu3d3XOPj7+8vHx8fSdKMGTPUp08fpaenS5Ief/xx3XnnnXr11Vc1efJkrVmzRvv27dMbb7whSTKZTFqwYIEWLVqkgQMHKiIiQs8//7xCQ0OVlJTkknkCAAD34laBaNmyZZKk8ePHO7WvWrVKs2bNkiQVFRXJw+P/FrbGjBmj1atX67nnntOzzz6rgQMHKicnx+lC7IULF6qyslKPPPKISktLNXbsWOXm5srb27vN5wQAANyfW9+HyF1wHyKgdVyqvqIhqVskSUdeTOhw1xB19PoBo2nO72+3uoYIAADAFQhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8AhEAADA8NwqEG3fvl333HOPQkNDZTKZlJOTc9X+s2bNkslkqrcNHTrU0eeFF16ot3/w4MFtPBMAANCRuFUgqqysVGRkpDIzM5vUf+nSpTp37pxjO336tAICAjRlyhSnfkOHDnXqt2PHjrYoHwAAdFBdXF3ANyUmJioxMbHJ/f39/eXv7+94nJOToy+++ELJyclO/bp06aLg4OBWqxMAAHQubrVCdL1WrFih+Ph49evXz6n92LFjCg0NVf/+/fXQQw+pqKjoquNUVVXJZrM5bQAAoPPqNIHo7Nmz+tOf/qTZs2c7tcfGxio7O1u5ublatmyZCgsLNW7cOJWXlzc6Vnp6umP1yd/fX2FhYW1dPgAAcKFOE4jefvtt3XjjjUpKSnJqT0xM1JQpUzRixAglJCRo8+bNKi0t1bp16xodKyUlRWVlZY7t9OnTbVw9AABwJbe6hqil7Ha7Vq5cqf/3//6fvLy8rtr3xhtv1C233KLjx4832sdsNstsNrd2mQAAwE11ihWibdu26fjx43r44Yev2beiokInTpxQSEhIO1QGAAA6ArcKRBUVFTp06JAOHTokSSosLNShQ4ccF0GnpKRoxowZ9Y5bsWKFYmNjNWzYsHr7nnzySW3btk0nT57Uzp079YMf/ECenp6aPn16m84FAAB0HG51ymzfvn2aMGGC47HFYpEkzZw5U9nZ2Tp37ly9T4iVlZXp/fff19KlSxsc87PPPtP06dN18eJF9e7dW2PHjtWuXbvUu3fvtpsIAADoUNwqEI0fP152u73R/dnZ2fXa/P39denSpUaPWbNmTWuUBgAAOjG3OmUGAADgCgQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeG4ViLZv36577rlHoaGhMplMysnJuWr//Px8mUymepvVanXql5mZqfDwcHl7eys2NlZ79uxpw1kAAICOxq0CUWVlpSIjI5WZmdms4z799FOdO3fOsQUGBjr2rV27VhaLRWlpaTpw4IAiIyOVkJCg8+fPt3b5AACgg+ri6gK+KTExUYmJic0+LjAwUDfeeGOD+5YsWaI5c+YoOTlZkpSVlaVNmzZp5cqVeuaZZ66nXAAA0Em41QpRS0VFRSkkJER33323/va3vznaq6urtX//fsXHxzvaPDw8FB8fr4KCgkbHq6qqks1mc9oAAEDn1aEDUUhIiLKysvT+++/r/fffV1hYmMaPH68DBw5Iki5cuKDa2loFBQU5HRcUFFTvOqNvSk9Pl7+/v2MLCwtr03kAAADXcqtTZs01aNAgDRo0yPF4zJgxOnHihH71q1/pt7/9bYvHTUlJkcVicTy22WyEIgAAOrEOHYgaEhMTox07dkiSevXqJU9PTxUXFzv1KS4uVnBwcKNjmM1mmc3mNq0TAAC4jw59yqwhhw4dUkhIiCTJy8tLo0aNUl5enmN/XV2d8vLyFBcX56oSAQCAm3GrFaKKigodP37c8biwsFCHDh1SQECA+vbtq5SUFJ05c0bvvPOOJCkjI0MREREaOnSoLl++rLfeeksff/yxPvroI8cYFotFM2fOVHR0tGJiYpSRkaHKykrHp84AAADcKhDt27dPEyZMcDz++jqemTNnKjs7W+fOnVNRUZFjf3V1tZ544gmdOXNGvr6+GjFihP785z87jTF16lSVlJQoNTVVVqtVUVFRys3NrXehNQAAMC6T3W63u7oId2ez2eTv76+ysjL5+fm5uhygw7pUfUVDUrdIko68mCBfL7d6T3ZNHb1+wGia8/u7011DBAAA0FwEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHgEIgAAYHhuFYi2b9+ue+65R6GhoTKZTMrJyblq/w8++EB33323evfuLT8/P8XFxWnLli1OfV544QWZTCanbfDgwW04CwAA0NG4VSCqrKxUZGSkMjMzm9R/+/btuvvuu7V582bt379fEyZM0D333KODBw869Rs6dKjOnTvn2Hbs2NEW5QMAgA6qi6sL+KbExEQlJiY2uX9GRobT45deekkbNmzQxo0bNXLkSEd7ly5dFBwc3FplAgCATsatVoiuV11dncrLyxUQEODUfuzYMYWGhqp///566KGHVFRUdNVxqqqqZLPZnDYAANB5dapA9Morr6iiokIPPPCAoy02NlbZ2dnKzc3VsmXLVFhYqHHjxqm8vLzRcdLT0+Xv7+/YwsLC2qN8AADgIp0mEK1evVo/+9nPtG7dOgUGBjraExMTNWXKFI0YMUIJCQnavHmzSktLtW7dukbHSklJUVlZmWM7ffp0e0wBAAC4iFtdQ9RSa9as0ezZs7V+/XrFx8dfte+NN96oW265RcePH2+0j9lsltlsbu0yAQCAm+rwK0TvvfeekpOT9d5772ny5MnX7F9RUaETJ04oJCSkHaoDAAAdgVutEFVUVDit3BQWFurQoUMKCAhQ3759lZKSojNnzuidd96R9NVpspkzZ2rp0qWKjY2V1WqVJPn4+Mjf31+S9OSTT+qee+5Rv379dPbsWaWlpcnT01PTp09v/wkCAAC35FYrRPv27dPIkSMdH5m3WCwaOXKkUlNTJUnnzp1z+oTYG2+8oStXrmjevHkKCQlxbI8//rijz2effabp06dr0KBBeuCBB9SzZ0/t2rVLvXv3bt/JAQAAt+VWK0Tjx4+X3W5vdH92drbT4/z8/GuOuWbNmuusCgAAdHZutUIEAADgCgQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeAQiAABgeF2u5+CamhpZrVZdunRJvXv3VkBAQGvVBQAA0G6avUJUXl6uZcuW6c4775Sfn5/Cw8P1ne98R71791a/fv00Z84c7d27ty1qBQAAaBPNCkRLlixReHi4Vq1apfj4eOXk5OjQoUP697//rYKCAqWlpenKlSuaOHGiJk2apGPHjrVV3QAAAK2mWafM9u7dq+3bt2vo0KEN7o+JidGPfvQjZWVladWqVfrrX/+qgQMHtkqhAAAAbaVZgei9995rUj+z2ay5c+e2qCAAAID2dl0XVX9TTU2N8vPz5e3trSFDhqhnz56tNTQAAECbarVA9F//9V8KCQnRBx98oB49eujSpUsaPny4cnNzW+spAAAA2kSrBaKioiJt3LhRe/bs0aFDh5SZmalTp0611vAAAABtptUCkbe3tyTJy8tL1dXVmjdvnsaMGdNawwMAALSZVgtEP/3pT/X555/rvvvu09y5c3X77bfrwoULrTU8AABAm2n2jRmXL1/eYPtDDz2kgIAAPf3007rjjjt09OhR/f73v7/uAgEAANpas1eInnjiCUVFRSk2NrbRPt/97nc1a9as66kLAACg3TR7hWjRokW67777dP78+Qb3//3vf1dMTEyLitm+fbvuuecehYaGymQyKScn55rH5Ofn69Zbb5XZbNaAAQOUnZ1dr09mZqbCw8Pl7e2t2NhY7dmzp0X1AQCAzqnZgWjBggW68847dd999+nKlStO+zZu3KixY8dq9OjRLSqmsrJSkZGRyszMbFL/wsJCTZ48WRMmTNChQ4e0YMECzZ49W1u2bHH0Wbt2rSwWi9LS0nTgwAFFRkYqISGh0UAHAACMx2S32+3NPejLL7/UmDFjFBcXp9/85jeSpFdffVXPPPOMnn32Wf3sZz+7/sJMJv3hD39QUlJSo32efvppbdq0SYcPH3a0TZs2TaWlpY77H8XGxmr06NF6/fXXJUl1dXUKCwvTY489pmeeeaZJtdhsNvn7+6usrEx+fn4tnxSaxW6368uaWleXgVZ0qbpW0Yv+LEk68mKCfL1a7XMd7eJS9RUNSf3qDde+5+Ll6+Xp4oqaz+cGT5lMJleXAbSL5vz+btG/Rj4+Pvrggw80evRojRgxQvv379fq1av17rvv6oEHHmhR0S1RUFCg+Ph4p7aEhAQtWLBAklRdXa39+/crJSXFsd/Dw0Px8fEqKChodNyqqipVVVU5HttsttYtHNdkt9t1f1aB9p/6wtWlAA36Oth1NNH9emj93DhCEfAtzQ5Es2fP1qhRozRy5Ei99dZbuv/++xUaGqodO3Zo5MiRbVFjo6xWq4KCgpzagoKCZLPZ9OWXX+qLL75QbW1tg32OHj3a6Ljp6emtssqFlvuyppYw1IlF9+shnxs65upKdL8e2teB/27uO/WFvqyp7XCrc0Bba/ZPxLFjx7R+/XqVl5erS5cuMplMGjZsmHbs2KFLly4pKipKXbt2bYta201KSoosFovjsc1mU1hYmAsrMraOemoCjeuop21MJpPWz43rkKdyv3m6EkB9zQ5E27Ztk/RVMNq/f78OHDigAwcOKC0tTaWlpfLw8NAtt9yiI0eOtHqx3xYcHKzi4mKntuLiYvn5+cnHx0eenp7y9PRssE9wcHCj45rNZpnN5japGc3n6+XJu1m4DZPJxN9HoBNq8U/1wIEDNXDgQE2bNs3RVlhYqH379ungwYOtUty1xMXFafPmzU5tW7duVVxcnKSvvkZk1KhRysvLc1ycXVdXp7y8PM2fP79dagQAAO6vVd/mREREKCIiQlOmTGnR8RUVFTp+/LjjcWFhoQ4dOqSAgAD17dtXKSkpOnPmjN555x1J0ty5c/X6669r4cKF+tGPfqSPP/5Y69at06ZNmxxjWCwWzZw5U9HR0YqJiVFGRoYqKyuVnJx8fZMFAACdRrMCUVFRkfr27dvk/mfOnFGfPn2a3H/fvn2aMGGC4/HX1/HMnDlT2dnZOnfunIqKihz7IyIitGnTJv33f/+3li5dqptuuklvvfWWEhISHH2mTp2qkpISpaamymq1KioqSrm5ufUutAYAAMbVrPsQBQUFKSkpSbNnz2705otlZWVat26dli5dqkceeUQ//elPW61YV+E+RO3vm/d76Yj3qwHcDT9TMKI2uw/RkSNH9D//8z+6++675e3trVGjRik0NFTe3t764osvdOTIEX3yySe69dZbtXjxYn33u9+9rokAAAC0h2Z9dUfPnj21ZMkSnTt3TpmZmRo4cKAuXLigY8eOSfrqG+/379+vgoICwhAAAOgwWnynan9/f2VkZLRyOQAAAO2v2V/u+rXJkyfLYrGourq6NesBAABody0ORNu3b9eHH36o6Ohopy9X/aZz587pvvvua3FxAAAA7aHFgSg2NlYHDhxQdHS0Ro8erSVLljj21dXV6ciRI0pNTdVf//rXVikUAACgrVzX5y67deumV199Vb6+vnrqqaf03nvvOcJQVVWV+vXrp/T09NaqFQAAoE20eIXorbfeUt++fdWrVy9lZ2crJiZGXbp00cGDBzV79mx9/vnnKiws1MMPP9ya9QIAALS6FgeiZ599VpMnT9aRI0dUXl6ugoICFRQU6NVXX9Vbb70li8WiS5cutWatAAAAbaLFgWj8+PF64YUXNGjQIJlMJkf7f//3f2vPnj3at2+fRowYod27d7dKoQAAAG2lxYFo3bp1jX4f2PDhw7V3715973vf0x133NHi4gAAANpDm32ZjdlsVkZGhiZPntxWTwEAANAqWrxC1FR33313Wz8FAADAdWnzQAQAAODuCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDw3DIQZWZmKjw8XN7e3oqNjdWePXsa7Tt+/HiZTKZ62+TJkx19Zs2aVW//pEmT2mMqAACgA+ji6gK+be3atbJYLMrKylJsbKwyMjKUkJCgTz/9VIGBgfX6f/DBB6qurnY8vnjxoiIjIzVlyhSnfpMmTdKqVascj81mc9tNAgAAdChut0K0ZMkSzZkzR8nJyRoyZIiysrLk6+urlStXNtg/ICBAwcHBjm3r1q3y9fWtF4jMZrNTvx49erTHdAAAQAfgVoGourpa+/fvV3x8vKPNw8ND8fHxKigoaNIYK1as0LRp09S1a1en9vz8fAUGBmrQoEF69NFHdfHixUbHqKqqks1mc9oAAEDn5VaB6MKFC6qtrVVQUJBTe1BQkKxW6zWP37Nnjw4fPqzZs2c7tU+aNEnvvPOO8vLy9Itf/ELbtm1TYmKiamtrGxwnPT1d/v7+ji0sLKzlkwIAAG7P7a4huh4rVqzQ8OHDFRMT49Q+bdo0x/8PHz5cI0aM0M0336z8/Hzddddd9cZJSUmRxWJxPLbZbIQiAAA6MbdaIerVq5c8PT1VXFzs1F5cXKzg4OCrHltZWak1a9bo4Ycfvubz9O/fX7169dLx48cb3G82m+Xn5+e0AQCAzsutApGXl5dGjRqlvLw8R1tdXZ3y8vIUFxd31WPXr1+vqqoq/fCHP7zm83z22We6ePGiQkJCrrtmAADQ8blVIJIki8WiN998U2+//bb+9a9/6dFHH1VlZaWSk5MlSTNmzFBKSkq941asWKGkpCT17NnTqb2iokJPPfWUdu3apZMnTyovL0/33nuvBgwYoISEhHaZEwAAcG9udw3R1KlTVVJSotTUVFmtVkVFRSk3N9dxoXVRUZE8PJxz3KeffqodO3boo48+qjeep6en/vGPf+jtt99WaWmpQkNDNXHiRP385z/nXkQAAECSGwYiSZo/f77mz5/f4L78/Px6bYMGDZLdbm+wv4+Pj7Zs2dKa5QEAgE7G7U6ZAQAAtDcCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDy3DESZmZkKDw+Xt7e3YmNjtWfPnkb7Zmdny2QyOW3e3t5Ofex2u1JTUxUSEiIfHx/Fx8fr2LFjbT0NAADQQbhdIFq7dq0sFovS0tJ04MABRUZGKiEhQefPn2/0GD8/P507d86xnTp1ymn/4sWL9etf/1pZWVnavXu3unbtqoSEBF2+fLmtpwMAADoAtwtES5Ys0Zw5c5ScnKwhQ4YoKytLvr6+WrlyZaPHmEwmBQcHO7agoCDHPrvdroyMDD333HO69957NWLECL3zzjs6e/ascnJy2mFGAADA3blVIKqurtb+/fsVHx/vaPPw8FB8fLwKCgoaPa6iokL9+vVTWFiY7r33Xn3yySeOfYWFhbJarU5j+vv7KzY2ttExq6qqZLPZnDYAANB5uVUgunDhgmpra51WeCQpKChIVqu1wWMGDRqklStXasOGDfrd736nuro6jRkzRp999pkkOY5rzpjp6eny9/d3bGFhYdc7NQAA4MbcKhC1RFxcnGbMmKGoqCjdeeed+uCDD9S7d28tX768xWOmpKSorKzMsZ0+fboVKwYAAO7GrQJRr1695OnpqeLiYqf24uJiBQcHN2mMG264QSNHjtTx48clyXFcc8Y0m83y8/Nz2gAAQOflVoHIy8tLo0aNUl5enqOtrq5OeXl5iouLa9IYtbW1+uc//6mQkBBJUkREhIKDg53GtNls2r17d5PHBAAAnVsXVxfwbRaLRTNnzlR0dLRiYmKUkZGhyspKJScnS5JmzJihPn36KD09XZL04osv6rbbbtOAAQNUWlqqX/7ylzp16pRmz54t6atPoC1YsECLFi3SwIEDFRERoeeff16hoaFKSkpy1TQBAIAbcbtANHXqVJWUlCg1NVVWq1VRUVHKzc11XBRdVFQkD4//W9j64osvNGfOHFmtVvXo0UOjRo3Szp07NWTIEEefhQsXqrKyUo888ohKS0s1duxY5ebm1ruBIwAAMCaT3W63u7oId2ez2eTv76+ysjKuJ2onl6qvaEjqFknSkRcT5Ovldtkd6FD4mYIRNef3t1tdQwQAAOAKBCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4BCIAAGB4bhmIMjMzFR4eLm9vb8XGxmrPnj2N9n3zzTc1btw49ejRQz169FB8fHy9/rNmzZLJZHLaJk2a1NbTAAAAHYTbBaK1a9fKYrEoLS1NBw4cUGRkpBISEnT+/PkG++fn52v69On6y1/+ooKCAoWFhWnixIk6c+aMU79Jkybp3Llzju29995rj+kAAIAOwO0C0ZIlSzRnzhwlJydryJAhysrKkq+vr1auXNlg/3fffVc/+clPFBUVpcGDB+utt95SXV2d8vLynPqZzWYFBwc7th49erTHdAAAQAfgVoGourpa+/fvV3x8vKPNw8ND8fHxKigoaNIYly5dUk1NjQICApza8/PzFRgYqEGDBunRRx/VxYsXGx2jqqpKNpvNaQMAAJ2XWwWiCxcuqLa2VkFBQU7tQUFBslqtTRrj6aefVmhoqFOomjRpkt555x3l5eXpF7/4hbZt26bExETV1tY2OEZ6err8/f0dW1hYWMsnBQAA3F4XVxfQml5++WWtWbNG+fn58vb2drRPmzbN8f/Dhw/XiBEjdPPNNys/P1933XVXvXFSUlJksVgcj202G6EIAIBOzK1WiHr16iVPT08VFxc7tRcXFys4OPiqx77yyit6+eWX9dFHH2nEiBFX7du/f3/16tVLx48fb3C/2WyWn5+f0wYAADovtwpEXl5eGjVqlNMF0V9fIB0XF9focYsXL9bPf/5z5ebmKjo6+prP89lnn+nixYsKCQlplboBAEDH5laBSJIsFovefPNNvf322/rXv/6lRx99VJWVlUpOTpYkzZgxQykpKY7+v/jFL/T8889r5cqVCg8Pl9VqldVqVUVFhSSpoqJCTz31lHbt2qWTJ08qLy9P9957rwYMGKCEhASXzBEAALgXt7uGaOrUqSopKVFqaqqsVquioqKUm5vruNC6qKhIHh7/l+OWLVum6upq3X///U7jpKWl6YUXXpCnp6f+8Y9/6O2331ZpaalCQ0M1ceJE/fznP5fZbG7XuQEAAPfkdoFIkubPn6/58+c3uC8/P9/p8cmTJ686lo+Pj7Zs2dJKlQEAgM7I7U6ZAQAAtDcCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDy3DESZmZkKDw+Xt7e3YmNjtWfPnqv2X79+vQYPHixvb28NHz5cmzdvdtpvt9uVmpqqkJAQ+fj4KD4+XseOHWvLKQAAgA7E7QLR2rVrZbFYlJaWpgMHDigyMlIJCQk6f/58g/137typ6dOn6+GHH9bBgweVlJSkpKQkHT582NFn8eLF+vWvf62srCzt3r1bXbt2VUJCgi5fvtxe0wIAAG7MZLfb7a4u4ptiY2M1evRovf7665Kkuro6hYWF6bHHHtMzzzxTr//UqVNVWVmpDz/80NF22223KSoqSllZWbLb7QoNDdUTTzyhJ598UpJUVlamoKAgZWdna9q0adesyWazyd/fX2VlZfLz82ulmX61cvVlTW2rjdeZXKquVfSiP0uSjryYIF+vLi6uCOjYLlVf0ZDULZKkfc/Fy9fL08UVAc58bvCUyWRq1TGb8/vbrX7LVFdXa//+/UpJSXG0eXh4KD4+XgUFBQ0eU1BQIIvF4tSWkJCgnJwcSVJhYaGsVqvi4+Md+/39/RUbG6uCgoIGA1FVVZWqqqocj2022/VMq1Ff1tQ6/oECgPby9ZsNwJ24+s2vW50yu3DhgmpraxUUFOTUHhQUJKvV2uAxVqv1qv2//m9zxkxPT5e/v79jCwsLa9F8cP2i+/WQzw28kwWul88Nnoru18PVZQBuy61WiNxFSkqK06qTzWZrk1Dkc4OnjryY0OrjdiZtsYQKGJHJZNL6uXGcpofbcvWbX7cKRL169ZKnp6eKi4ud2ouLixUcHNzgMcHBwVft//V/i4uLFRIS4tQnKiqqwTHNZrPMZnNLp9FkJpOJa2MAtBv+zQEa51anzLy8vDRq1Cjl5eU52urq6pSXl6e4uLgGj4mLi3PqL0lbt2519I+IiFBwcLBTH5vNpt27dzc6JgAAMBa3e6tgsVg0c+ZMRUdHKyYmRhkZGaqsrFRycrIkacaMGerTp4/S09MlSY8//rjuvPNOvfrqq5o8ebLWrFmjffv26Y033pD01TuiBQsWaNGiRRo4cKAiIiL0/PPPKzQ0VElJSa6aJgAAcCNuF4imTp2qkpISpaamymq1KioqSrm5uY6LoouKiuTh8X8LW2PGjNHq1av13HPP6dlnn9XAgQOVk5OjYcOGOfosXLhQlZWVeuSRR1RaWqqxY8cqNzdX3t7e7T4/AADgftzuPkTuqK3uQwQAANpOc35/u9U1RAAAAK5AIAIAAIZHIAIAAIZHIAIAAIZHIAIAAIZHIAIAAIZHIAIAAIZHIAIAAIZHIAIAAIbndl/d4Y6+vpm3zWZzcSUAAKCpvv693ZQv5SAQNUF5ebkkKSwszMWVAACA5iovL5e/v/9V+/BdZk1QV1ens2fPqnv37jKZTG3+fDabTWFhYTp9+jTfndaB8Lp1TLxuHROvW8fU3q+b3W5XeXm5QkNDnb4YviGsEDWBh4eHbrrppnZ/Xj8/P37QOyBet46J161j4nXrmNrzdbvWytDXuKgaAAAYHoEIAAAYHoHIDZnNZqWlpclsNru6FDQDr1vHxOvWMfG6dUzu/LpxUTUAADA8VogAAIDhEYgAAIDhEYgAAIDhEYgAAIDhEYg6kKqqKkVFRclkMunQoUOuLgeNOHnypB5++GFFRETIx8dHN998s9LS0lRdXe3q0tCAzMxMhYeHy9vbW7GxsdqzZ4+rS8JVpKena/To0erevbsCAwOVlJSkTz/91NVloRlefvllmUwmLViwwNWlOCEQdSALFy5UaGioq8vANRw9elR1dXVavny5PvnkE/3qV79SVlaWnn32WVeXhm9Zu3atLBaL0tLSdODAAUVGRiohIUHnz593dWloxLZt2zRv3jzt2rVLW7duVU1NjSZOnKjKykpXl4Ym2Lt3r5YvX64RI0a4upR6+Nh9B/GnP/1JFotF77//voYOHaqDBw8qKirK1WWhiX75y19q2bJl+s9//uPqUvANsbGxGj16tF5//XVJX31vYVhYmB577DE988wzLq4OTVFSUqLAwEBt27ZNd9xxh6vLwVVUVFTo1ltv1W9+8xstWrRIUVFRysjIcHVZDqwQdQDFxcWaM2eOfvvb38rX19fV5aAFysrKFBAQ4Ooy8A3V1dXav3+/4uPjHW0eHh6Kj49XQUGBCytDc5SVlUkSP18dwLx58zR58mSnnzl3wpe7ujm73a5Zs2Zp7ty5io6O1smTJ11dEprp+PHjeu211/TKK6+4uhR8w4ULF1RbW6ugoCCn9qCgIB09etRFVaE56urqtGDBAt1+++0aNmyYq8vBVaxZs0YHDhzQ3r17XV1Ko1ghcpFnnnlGJpPpqtvRo0f12muvqby8XCkpKa4u2fCa+pp905kzZzRp0iRNmTJFc+bMcVHlQOc0b948HT58WGvWrHF1KbiK06dP6/HHH9e7774rb29vV5fTKK4hcpGSkhJdvHjxqn369++vBx54QBs3bpTJZHK019bWytPTUw899JDefvvtti4V/6upr5mXl5ck6ezZsxo/frxuu+02ZWdny8OD9x/upLq6Wr6+vvr973+vpKQkR/vMmTNVWlqqDRs2uK44XNP8+fO1YcMGbd++XREREa4uB1eRk5OjH/zgB/L09HS01dbWymQyycPDQ1VVVU77XIVA5OaKiopks9kcj8+ePauEhAT9/ve/V2xsrG666SYXVofGnDlzRhMmTNCoUaP0u9/9zi1+2FFfbGysYmJi9Nprr0n66hRM3759NX/+fC6qdlN2u12PPfaY/vCHPyg/P18DBw50dUm4hvLycp06dcqpLTk5WYMHD9bTTz/tNqc7uYbIzfXt29fpcbdu3SRJN998M2HITZ05c0bjx49Xv3799Morr6ikpMSxLzg42IWV4dssFotmzpyp6OhoxcTEKCMjQ5WVlUpOTnZ1aWjEvHnztHr1am3YsEHdu3eX1WqVJPn7+8vHx8fF1aEh3bt3rxd6unbtqp49e7pNGJIIRECr27p1q44fP67jx4/XC60syLqXqVOnqqSkRKmpqbJarYqKilJubm69C63hPpYtWyZJGj9+vFP7qlWrNGvWrPYvCJ0Gp8wAAIDhcZUnAAAwPAIRAAAwPAIRAAAwPAIRAAAwPAIRAAAwPAIRAAAwPAIRAAAwPAIRAAAwPAIRAAAwPAIRAAAwPAIRAMNKS0vT8OHD1bVrVwUFBenRRx9VTU2Nq8sC4AJ8uSsAQ7Lb7bLb7Vq+fLn69OmjI0eOaObMmRoxYoQeffRRV5cHoJ3x5a4A8L8efPBBBQYGKiMjw9WlAGhnnDIDYEinTp3SvHnzNGzYMPXo0UPdunXTunXrdNNNN7m6NAAuQCACYDglJSUaPXq0Ll68qCVLlmjHjh3auXOnPDw8FBkZ6eryALgA1xABMJyNGzeqtrZW7733nkwmkyTp9ddfV01NjaKiolxbHACXIBABMJyePXvKZrPpj3/8o4YMGaKNGzcqPT1dffr0Ue/evV1dHgAX4KJqAIZTV1enn/zkJ1q9erV8fHz0wx/+UJcvX9apU6f04Ycfuro8AC5AIAIAAIbHRdUAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDwCEQAAMDw/j8bunmURLAFIwAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -494,7 +494,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -585,7 +585,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -615,7 +615,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/_sources/notebooks/Tutorial-ExactECT.ipynb.txt b/docs/_sources/notebooks/Tutorial-ExactECT.ipynb.txt
new file mode 100644
index 0000000..19a4e29
--- /dev/null
+++ b/docs/_sources/notebooks/Tutorial-ExactECT.ipynb.txt
@@ -0,0 +1,255 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial for exact ECT computation \n",
+    "\n",
+    "*Warning: This is a work in progress. Proceed at your own risk.*\n",
+    "\n",
+    "The goal of this section is so show available tools for exact computation of the ECT. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ect import ECT, EmbeddedGraph, EmbeddedCW,create_example_graph\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle\n",
+    "import numpy as np\n",
+    "import networkx as nx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use the `EmbeddedGraph` class to find the angle normal to any pair of vertices in the graph, whether or not there is a connecting edge.  Setting `angle_labels_circle=True` in the plotting command will try to draw these on the circle. Note that this doesn't tend to do well for large inputs, but can be helpful for small examples. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Super simple graph \n",
+    "G = EmbeddedGraph()\n",
+    "G.add_node('A', 0,0)\n",
+    "G.add_node('B', 1,0)\n",
+    "G.add_node('C', 2,1)\n",
+    "G.add_node('D', 1,2)\n",
+    "G.add_edge('A', 'B')\n",
+    "G.add_edge('B', 'D')\n",
+    "G.add_edge('D', 'C')\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "G = create_example_graph(centered=True)\n",
+    "G.rescale_to_unit_disk()\n",
+    "\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can extract the information directly for use in computation. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[       nan 5.49778714 5.60844436 5.8195377  5.03413953 5.49778714]\n",
+      " [2.35619449        nan 5.6951827  0.         3.92699082 5.49778714]\n",
+      " [2.46685171 2.55359005        nan 2.03444394 2.89661399 2.67794504]\n",
+      " [2.67794504 3.14159265 5.17603659        nan 3.46334321 3.92699082]\n",
+      " [1.89254688 0.78539816 6.03820664 0.32175055        nan 0.        ]\n",
+      " [2.35619449 2.35619449 5.8195377  0.78539816 3.14159265        nan]]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.colorbar.Colorbar at 0x16b198290>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 480x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# If return type is `matrix`, the function returns the matrix of angles and the labels of the angles in the order of the rows/columns in the matrix \n",
+    "M,Labels = G.get_all_normals_matrix()\n",
+    "print(M)\n",
+    "\n",
+    "plt.matshow(M)\n",
+    "plt.xticks(range(len(Labels)), Labels)\n",
+    "plt.yticks(range(len(Labels)), Labels)\n",
+    "plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This can also be returned as a dictionary, with keys given by angles (note the negative angle is not repeated), and value a list of the pairs of vertices associated. Note that in the case of more than one pair of vertices having the same normal angle, it is given as a list of all pairs. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.497787143782138: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.608444364956034: [('A', 'C')],\n",
+       " 5.81953769817878: [('A', 'D'), ('F', 'C')],\n",
+       " 5.034139534781332: [('A', 'E')],\n",
+       " 5.695182703632018: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.9269908169872414: [('B', 'E'), ('D', 'F')],\n",
+       " 2.0344439357957027: [('C', 'D')],\n",
+       " 2.896613990462929: [('C', 'E')],\n",
+       " 3.4633432079864352: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "angles_dict = G.get_normals_dict()\n",
+    "angles_dict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also get it to return the dictionary with rounded values, as well as to have it include all the opposite angles. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.5: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.61: [('A', 'C')],\n",
+       " 5.82: [('A', 'D'), ('F', 'C')],\n",
+       " 5.03: [('A', 'E')],\n",
+       " 5.7: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.93: [('B', 'E'), ('D', 'F')],\n",
+       " 2.03: [('C', 'D')],\n",
+       " 2.9: [('C', 'E')],\n",
+       " 3.46: [('D', 'E')],\n",
+       " 2.36: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 2.47: [('A', 'C')],\n",
+       " 2.68: [('A', 'D'), ('F', 'C')],\n",
+       " 1.89: [('A', 'E')],\n",
+       " 2.56: [('B', 'C')],\n",
+       " 3.14: [('B', 'D'), ('E', 'F')],\n",
+       " 0.79: [('B', 'E'), ('D', 'F')],\n",
+       " 5.17: [('C', 'D')],\n",
+       " 6.04: [('C', 'E')],\n",
+       " 0.32: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "G.get_normals_dict(opposites = True, \n",
+    "                   num_rounding_digits=2)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/_sources/tutorials.rst.txt b/docs/_sources/tutorials.rst.txt
index 8e7df94..f7ffaab 100644
--- a/docs/_sources/tutorials.rst.txt
+++ b/docs/_sources/tutorials.rst.txt
@@ -8,4 +8,5 @@ Tutorials
    notebooks/Tutorial-ECT_for_embedded_graphs
    notebooks/Tutorial-ECT_for_CW_Complexes
    notebooks/Matisse/Matisse_ECT
+   notebooks/Tutorial-ExactECT
 
diff --git a/docs/citing.html b/docs/citing.html
index 079b6cf..611440a 100644
--- a/docs/citing.html
+++ b/docs/citing.html
@@ -82,6 +82,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/contributing.html b/docs/contributing.html
index 7090415..e486a8c 100644
--- a/docs/contributing.html
+++ b/docs/contributing.html
@@ -23,7 +23,7 @@
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
     <link rel="next" title="5. GPL-3.0 License" href="license.html" />
-    <link rel="prev" title="3.3. ECT on Matisse’s “The Parakeet and the Mermaid”" href="notebooks/Matisse/Matisse_ECT.html" /> 
+    <link rel="prev" title="3.4. Tutorial for exact ECT computation" href="notebooks/Tutorial-ExactECT.html" /> 
 </head>
 
 <body class="wy-body-for-nav"> 
@@ -83,6 +83,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1 current"><a class="current reference internal" href="#">4. Contributing</a><ul>
@@ -226,7 +227,7 @@ <h2><span class="section-number">4.3. </span>Conclusion<a class="headerlink" hre
            </div>
           </div>
           <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
-        <a href="notebooks/Matisse/Matisse_ECT.html" class="btn btn-neutral float-left" title="3.3. ECT on Matisse’s “The Parakeet and the Mermaid”" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
+        <a href="notebooks/Tutorial-ExactECT.html" class="btn btn-neutral float-left" title="3.4. Tutorial for exact ECT computation" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
         <a href="license.html" class="btn btn-neutral float-right" title="5. GPL-3.0 License" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
     </div>
 
diff --git a/docs/doctrees/ect_on_graphs.doctree b/docs/doctrees/ect_on_graphs.doctree
index 342e63d..f3dbc52 100644
Binary files a/docs/doctrees/ect_on_graphs.doctree and b/docs/doctrees/ect_on_graphs.doctree differ
diff --git a/docs/doctrees/embed_cw.doctree b/docs/doctrees/embed_cw.doctree
index 76f2f70..9b2635f 100644
Binary files a/docs/doctrees/embed_cw.doctree and b/docs/doctrees/embed_cw.doctree differ
diff --git a/docs/doctrees/embed_graph.doctree b/docs/doctrees/embed_graph.doctree
index 7e514ee..8b068ce 100644
Binary files a/docs/doctrees/embed_graph.doctree and b/docs/doctrees/embed_graph.doctree differ
diff --git a/docs/doctrees/environment.pickle b/docs/doctrees/environment.pickle
index ebe627f..1959e01 100644
Binary files a/docs/doctrees/environment.pickle and b/docs/doctrees/environment.pickle differ
diff --git a/docs/doctrees/nbsphinx/notebooks/Matisse/Matisse_ECT.ipynb b/docs/doctrees/nbsphinx/notebooks/Matisse/Matisse_ECT.ipynb
index 7db4d29..5b66a5e 100644
--- a/docs/doctrees/nbsphinx/notebooks/Matisse/Matisse_ECT.ipynb
+++ b/docs/doctrees/nbsphinx/notebooks/Matisse/Matisse_ECT.ipynb
@@ -95,7 +95,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -139,7 +139,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAckAAAGiCAYAAACMDD3oAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAACxRUlEQVR4nOydd3gUVdvG7yQkAQIkgXRILzuhh9BCDZHeJEEIH0oRBMFCCfoCNoRXBfQVQRSwoFgBFVBUEFGaShVCEUiBBJJAAgTSKCkk8/1x3GV3Z2Z3ZndmW87vunJBds/MnN3szn3OU51YlmVBoVAoFAqFg7O1J0ChUCgUiq1CRZJCoVAoFAGoSFIoFAqFIgAVSQqFQqFQBKAiSaFQKBSKAFQkKRQKhUIRgIokhUKhUCgCUJGkUCgUCkUAKpIUCoVCoQhARZJCoVAoFAEUFckDBw5gxIgRCAoKgpOTE77//nujx+zfvx/x8fFo2LAhIiIisG7dOs6YLVu2oHXr1nB3d0fr1q2xbds2BWZPoVAolPqOoiJ5584ddOjQAe+9956o8bm5uRg6dCh69+6N9PR0vPDCC5g1axa2bNmiGXPo0CGkpqZiwoQJOHXqFCZMmICxY8fiyJEjSr0MCoVCodRTnCxV4NzJyQnbtm3DqFGjBMfMnz8f27dvx/nz5zWPzZgxA6dOncKhQ4cAAKmpqSgvL8fOnTs1YwYPHgxvb29s3LhRsflTKBQKpf7RwNoT0ObQoUMYOHCgzmODBg3C+vXrUVNTA1dXVxw6dAhz587ljFm5cqXgeauqqlBVVaX5va6uDrdu3UKLFi3g5OQk62ugUCgUivKwLIuKigoEBQXB2Vk5o6hNiWRRURH8/f11HvP398f9+/dRXFyMwMBAwTFFRUWC5126dCkWL16syJwpFAqFYj3y8/PRqlUrxc5vUyIJgLOzU1uDtR/nG2NoR7hw4UKkpaVpfi8rK0NISAjy8/PRrFkzOaZNoTyAZYG8PODMGeD2bWDcOPJYu3ZAfv6Dcf7+wA8/ALGxwE8/ATk5QEDAg5+gIKBJE+u9jsuXgaIi8lNYCFy7BjzxBNCyJfDyy8B77wF1dWRs48bA888DaWlk7IEDQOvWAMMArq7Wew0Uh6W8vBzBwcFo2rSpotexKZEMCAjg7AivX7+OBg0aoEWLFgbH6O8utXF3d4e7uzvn8WbNmlGRpJgHywJ37wIeHkBGBjBrFnD8OHDrFnk+LAyYPp38f/58oEULICYGiI4GtL/c48dbfOpGadeO/PCxahXw1ltAbi6QlQVkZgKdOgHNmgF79z54ze7uQIcOwMCBwH//Sx6rrQVcXCzzGigOj9IuM5sSyYSEBPz44486j/3666/o3LkzXP9djSYkJGD37t06fslff/0VPXr0sOhcKfWUigrgr7/ITunvv4kgDhkCfPkl4OUFNGoEzJ4NxMcDcXFAYOCDY59+2mrTVgQ3N0ClIj8jRjx4/OGHgbIy4PRp8v4cPw6UlpLnKirILrltW/Ie9ewJJCaS3SmFYouwClJRUcGmp6ez6enpLAB2xYoVbHp6Onv58mWWZVl2wYIF7IQJEzTjc3Jy2MaNG7Nz585lz507x65fv551dXVlv/vuO82Yv/76i3VxcWGXLVvGnj9/nl22bBnboEED9vDhw6LnVVZWxgJgy8rK5HuxFMekooJlf/mFZc+eJb+vWcOyAMsGBLDsyJEsu3gxy+7fb9052hNlZSy7ciXLTpjAsgxD3ks3N5a9e5c8v3cvy165YtUpUuwDS93HFRXJvXv3sgA4P5MmTWJZlmUnTZrE9u3bV+eYffv2sXFxcaybmxsbFhbGrl27lnPeb7/9llWpVKyrqyvLMAy7ZcsWSfOiIkkxyJEjLLtwIcsmJLBsgwbkRv7ii+S5GzdYNiODZevqrDtHR+HaNZb9/Xfy/9palvX0JO93dDTLTp/Oshs3koUKhaKHpe7jFsuTtCXKy8vh6emJsrIy6pOkEP/hjh1AQgIQGQksXgysWUPMgP36kX9VKoCmCynP9evA/v3Er7lvH3D+PFBQQMyxe/YAISFAVJS1Z0mxASx1H6ciSUWyfpKTA3z/PbB9O/DnnySY5IMPSMBJVRXxt1FRtD43bgC+vuT/KhUJEmIYYORI8tO9Ow0CqqdY6j5OC5xT6g/nzz8IIHn7beCFF0iKxZo1wJUruhGZVCBtA7VAAsCJE2Rh06MHsGED0KsXSbMByN+vttYaM6Q4OHQnSXeSjk1hIbBpE4k+PXECeP994KmniFnPw4P8UOyPujoSXdylC1nQdOpE8jjHjwcefZSkndCFjkNDd5IUirksXgy0agUsWACEhgJbtgBTppDn/PyoQNozzs5A164PhHDNGiAlheww4+JIfmdOjlWnSHEMqEhSHAOWJbmLjz4K/PwzeaxvX2DdOlIxZutWchNt2NC686QoQ/fuwOrVwNWrpHpRt25AcDB57sUXgS++ACorrTtHil1CRZJi31RUkF1Eu3ZEFP/+G6iuJs8lJgLTpgHe3ladIsWCuLoCw4YB69eT/9fVETP7xInEqjB/PqkSRKGIhIokxT65f5/8++mnpBScSgX89hspDZecbN25UWwHZ2dg505SNm/iRODDD0lN2fJya8+MYifQwB0auGM/1NQQs+n775PAjNWryc2uvJzsEigUY9y9Cxw9SqwM9+4BffoAY8YAU6eSuroUu4EG7lAoau7eJYIYFUU6ari4AP37k+eaNaMCSRFP48ZEIAFiqm/TBnjlFVKkYM4c0r2FQtGCiiTFdlEbOXJySAum3r1J0ey9e0kRbQrFHPz8SDRsQQHw3HPA558D//d/1p4VxcagIkmxPQoLgf/8h0Qo1taSjhEFBSTXUah1E4ViKj4+JF3o8mXi4waAgweB0aNJIBilXkNFkmI7XLoEzJwJhIeT1I2kJFIiDiANiikUJWnalPT6BEiz7NOnSbGCAQNIPVlKvYSKJMU2qKsjjXm3bAEWLSK+oWXLiA+JQrE0AweSSOnNm4HiYuLH/PBDa8+KYgVodCuNbrUe5eXAihUkND8iAjh1igTn0Eo4FFuCZYFt24hQNm8O/PADSSOJjrb2zOo1NLqV4rhUVQGrVpG2VMuWkZB8gKR1UIGk2BpOTqRaU/PmxOLx4otEJGfOJP5zikNDRZJiWQ4cIIn/aWmk1VF2NknroFDsAWdn4Ngx4I03iCk2KoqIZk2NtWdGUQgqkhTLcPs2+bdlSxIM8c8/pHSYur4mhWIvNGoEPP88SU2aPRtITwcaNCDP1T/vlcNDRZKiLNevk84b7duTogCRkcC33wKxsdaeGYViHl5eZEf588/EJLt7N5CQABw/bu2ZUWSEiiRFGWprSfk4lYo0yv3Pf0gzYwrF0VC362rWjCwEu3QBZswAbt607rwoskBFkqIM48YBzz4LPPIIkJVFbhouLtaeFYWiHN26kY4jK1cCGzeSBaI6KI1it1CRpMhHcfGD2pezZgGHDgEffUQqmlAo9YEGDchnPysLeOwxUhsWAEpKrDsvislQkaTIw9at5IYwbx75vXdvsrKmUOoj/v5kR+nhQfpXhoUBL7/8oIIUxW6gIkkxj+JiUhR69GgStLB6tbVnRKHYFq1akQLqy5cDnTvTwB47g4okxXSqq0mQwq5dpPj4tm1AQIC1Z0Wh2BaurmQX+fff5P/dugGffWbtWVFE0sDaE6DYIcXFJFfMwwN47z0gPp6KI4VijPbtgSNHgDffJO4IAKisBBo2tO68KAahO0mKNL7/nvgelywhvw8bRgWSQhGLqyup0BMRQQpstG8PvPQSrdhjw1CRpIijshJ4+mkgOZn4HufOtfaMKBT7xt2dRMAuXw706UNaxVFsDiqSFOPcuQN0707KyK1dS32PFIocuLoCr7wC/PknUFQExMUBP/1k7VlR9KA+SYpxPDyAsWOJabVDB2vPhkJxLLp1I/Vfp0+n/kkbhO4kKfzcuQM8/jjw8cfk9xdeoAJJoSiFlxfwzTdA//6kHdfcuaQgAcXqUJGkcDl9muRzffstiWKlUCiW49o1YMcOEjX+1VfWnk29h4okRZevvybmHzc3ktf16KPWnhGFUr8IDCQFB0aNIoE9M2fS6FcrQkWS8gB1544xY4DDhwGGsfaMKJT6SZMmwOefAx98QALmNm609ozqLU4sW/+6hJaXl8PT0xNlZWVo1qyZtadjfcrLgatXiSjevk0CddTtfygUinU5d470X3VyAm7dApo3t/aMbAJL3cfpTrK+k51N0jvGjiUBA02aUIGkUGyJ1q3Jd/K330ih9G3brD2jeoVFRHLNmjUIDw9Hw4YNER8fjz/++ENw7OTJk+Hk5MT5aaNuOQNgw4YNvGMqKyst8XIch927ga5diZn1228BZ7pmolBsloQEYNAgICUF+O9/gfpnBLQKit8VN2/ejDlz5uDFF19Eeno6evfujSFDhiBP3XdQj1WrVqGwsFDzk5+fj+bNm2PMmDE645o1a6YzrrCwEA1pjpF4PvoIGDKEBOkcOUIaxFIoFNvFw4OkiSxZQooQjB1LUrUoiqK4SK5YsQJTp07FE088gdjYWKxcuRLBwcFYu3Yt73hPT08EBARofv7++2+UlJTg8ccf1xnn5OSkMy6AVoCRBsMAaWnAzz+THC0KhWL7ODmRjiJbtwL5+bQ/pQVQVCSrq6tx/PhxDBw4UOfxgQMH4uDBg6LOsX79evTv3x+hoaE6j9++fRuhoaFo1aoVhg8fjvT0dMFzVFVVoby8XOenXlJdDbzzDnD/PulC8OabgIuLtWdFoVCkkpwMHDpEgnjy8oDLl609I4dFUZEsLi5GbW0t/P39dR739/dHUVGR0eMLCwuxc+dOPPHEEzqPMwyDDRs2YPv27di4cSMaNmyInj17Ijs7m/c8S5cuhaenp+YnODjY9Bdlr1RUkLJyCxaQElgUCsW+UQfYPfUU0KMHcOaMdefjoFgkUsNJL1qSZVnOY3xs2LABXl5eGDVqlM7j3bt3x2OPPYYOHTqgd+/e+OabbxATE4PVq1fznmfhwoUoKyvT/OTn55v8WuyS69eBfv2Ao0eBX38ljZIpFDslPa8EW08UID2vxNpTsQ3Wrwf8/Yl1yEBQJMU0FC1w7uPjAxcXF86u8fr165zdpT4sy+KTTz7BhAkT4ObmZnCss7MzunTpIriTdHd3h7u7u7TJOwo3bwI9e5L8xwMHaP1Vil2zbOd5rDuQo/l9Rp8ILBgSa8UZ2QD+/sC+fcQEO2AAsGkTqdZDkQVFd5Jubm6Ij4/H7t27dR7fvXs3evToYfDY/fv348KFC5g6darR67Asi5MnTyIwMNCs+TokzZuT0nIHD1KBpNg1f5zL1xFIAFh3IAebj/FHytcrmjUj9V5TUmhqiMwo3iorLS0NEyZMQOfOnZGQkIAPP/wQeXl5mDFjBgBiCr1y5Qo+//xznePWr1+Pbt26oW3btpxzLl68GN27d0d0dDTKy8vx7rvv4uTJk3j//feVfjn2w6FDQHExMGIE8Oqr1p4NhSKKuro65OXlISMjAxkZGcjMzNT8v6JFLHxGzOMcM3/rGeQW36E7Snd3UnsZIEK5dy+QlGTdOTkAiotkamoqbt68iSVLlqCwsBBt27bFjh07NNGqhYWFnJzJsrIybNmyBatWreI9Z2lpKaZPn46ioiJ4enoiLi4OBw4cQNeuXZV+OfbBn38+yIEcPpxW0KHYHHfv3kVWVpZGANU/WVlZuHfvHgDiJlGpVGAYBn369EGFXztsLeA/37oDORjUJgBxId4WfBU2zK5d5B6wdCkJ1qOYDK3d6mi1Ww8cAIYOJcE5P/1EEpApFBNIzytBbvEdhPt4mCQ+LMvi2rVrHCHMyMjAZa2UBT8/PzAMw/kJCQmBi1aK0tYTBUj79pTg9VaM6YCUTq0kz9NhWbyYWJGWLCG5lQ6Gpe7jiu8kKRZEvYNMSAC2bwcaN7b2jCh2yhs/n8WHf17S/G4oQKa6uhoXL17kmEczMjJQVlYGAHBxcUFUVBRUKhVSU1M1QqhSqdBcZMHucB/DCz5jz9c7Fi0ipSZfeYXUZV60yNozskuoSDoSwcHAuHHAe+/RZskUUZSXl3OE7WzRHVT2eVZn3LoDOegR4gHX8iucXeHFixdRW1sLgJSLjI2NBcMwGDVqlEYMIyIijEapi6Gfyhd7M29wHk+JC6KmVj5efpkUDDl6lNRopsVDJEPNrY5gbj1+HAgPpy10KLywLIuCggJes+fVq1c141q1agWGYeDUbhiy3KM55yn94yuU/UX6GoaGhvKaSP39/UXlQEtFP/UjSeWL0vJynCh8UJaNpoMYQC2QRUWAg5TwtNR9nIqkvYvksWPAQw+RDuZr1lh7NhQrcu/ePWRnZ3PMnpmZmbjzbyFsNzc3xMTEcMQtJiYGTZs2BQC8szsTq/Zc4Jz/Ib9KPNsvEjExMWhsQVN+el4JkteKK2O5bWYPuqMUIj8faNuW+CnnzrX2bMyG+iQpxsnMJEE6bdoAy5dbezYUGTAWLMOyLG7cuMG7K7x06RLUa15fX18wDINOnTph/PjxGjEMCwvTCYbhI1HlxyuSz4xOQkcrCFBusfhOF7nFd6hICtGqFTBzJmls4OMDTJhg7RnZBVQk7ZWrV0lvOV9f0snj310AxX7RNymObeuFXk1vcsSwpISUY3N2dkZkZCQYhsEjjzyiEwzTokULk+cRF+KNGX0idOYys2+E7OIjdkFwNiND9Dlp8I4BnJxISkhxMTBlChHKIUOsPSubh4qkvbJvH0kY3rWL+iIdgPS8Ek41mW/+KcWqz56H++1CjQAOHz5c8//IyEjFyi0uGBKLQW0CzEoBMYSUBYFHm368RQT0g3iUEHKHw8kJWLcOuHEDmD4duHCBFCGgCEJ9kvbmk6yrI2HdAGm4SvMgHQKhHMCXB4RiSr82igTDWAshH2PhZ2k6CwL1D1qEIe2XQs74bTNJaUulhNyhuXeP+ChjYqw9E5OhPkkKl9paYMwYUkln/nwqkHZMRUWFJrgmMzMTf1y5D/j34oxr0rSZXQqkIVOqkI9x9Csf4asne/O+3qy75wXNv1QcTaBRIyKQd+8Cc+aQHMqWLa09K5uEiqS9wLKkb9z27cDjj1t7NhQ9+ESBZVlcucLNK8zIyMCVK1c0xwYFBaFlz2SApzGOq4tFutnJir4pdUpCMIa1rNG89r9zi4Hg4ZzjDl6uwMn8Ul7RU9r8W28pLQV++YXUej5wAPCm76s+VCTthddfBz78EPjkE1K0nGIz6ItCy/JzqDqyGZmZmbh9+zYAwNXVFdHR0WAYBpMmTdIJsmnWrJmgCdLeAlH4fKufHMrH65+lobowC0FBQVCpVPAN6IIbrtxVgaHo1LgQbyqOchMUROIaevUi7bV27wZkKPrgSFCRtAd++YVUzli8mO4ibQw+UbjSrDU6xyfqlF8LDw9HgwbCXzdLRZTKhZA5VciU+vrqjzB9QEeN78hRFgUOQWws8OOPpDH700+TxbgdmviVgoqkPdCrF7BiBfEdUCyKId9adXU1vvvrHO9xPR+ZhrkDVJKuZS8mRf2d84R4fzzkcxsZGRnYlV0OuLXhHBMcEqYTXGFviwKHp0cP4IMPAK3C8xQCFUlb5sYNoKSEONgdoEKGvaEvBj297yL41nGdmqUe3cbAq/ejsl3T1k2KfDvnL45fw5ufpaH2+kWEJY4FunBFks+3ai+LgnrD5MkP/l9WBnh6Wm0qtgQVSVuluhp45BFSa/HcOVqY2MLwicFfJY2B3YfB+DbE4MGDwTAMXAOi8d8jlZzjE1V+lpqqIkg1p7790ZeYPqADzhbdkWRGtfVFQb3ku+9IkOChQ0BkpLVnY3WoSNoqs2eTD+mePVQgFcBYtZd9mdd5j5u97AOOGfWGu3B6gj2iv4NObeetSfTfc+ke0Cyec4yvnz/c3NwQF+JGzaj2zkMPkV3kyJHkHmRvueQyQ0XSFlm7llTF+Ogj4o+kyIq+CIyP80U/7zKdFI0st2i4dBQXRWwPZkOxDZT5dtCbz5Rg5WfPwbX8CsL6jQXackVS25xqD+8HxQDe3iTVrFs30jjh++8fFDCph1CRtDVKSoAXXwSefRZ44glrz8bh4BOBr9Nv4O3P0uB06zJiYmKgUqkwTBWOX2q5xwuZUW3ZbKi/KDDUUkrInPr+F99ialI7nMwvFWVOteX3gyKC2Fhg40aSbvb228Dzz1t7RlaDiqSt4e0NnDhBq1/IhP4OSkgERr30Ab5+srdOhwx9cbEXs2FlZaWmZdaBs3n4sYrReX7dgRwMahOAuBBv3LlzB1lZWZod9IGCGsCvJ+ecTZt5wcnJiUal1ieGDQO+/RZISrL2TKwKFUlbgWWBVavI7jEszNqzcQj0Ra696zU4XTkF+A3kjD2Sfwenr5Tr3Oxt2WzI1zJLXeYuNzdX0zIrcOBUuHViOMdPffkd3Nz3GfLy8jSPBQQEoGWvFIBns0zNqfWU0aPJv/n5pMiAP09ZKAeHiqSt8M47wLx5pDfkgAHWno1dwedv4zOrnq7xh0/BFbTwLMRN90DOefiqvShlNhTrI7x//z5ycnJ4S9vxtcwaPXq0TjWfz08U8/aGdHNzxaOPPqoz1tPTU3SSPzWn1iPq6khLrcBAUp2nnvknqUjaAkePkoLlzz1HBVIiQv62PeeLeMc/+tzrSFT5WbXaC9+cZ/YI0uwEtX8uXLiAmpoaAEDTpk0lt8xKVDnziuTal5/hFTlqTqVwcHYmVq4BA4Bly4AXXrD2jCwKbZVl7fDm0lKgUyfSPPmPP2jdRAkI7Xrc97+LGw180azn/3Gem50UhbkDVLz+xvmD+YNZ5MRQm6jqwiwAQEhIiGZ3p90yKjAw0KSOIKa8VrE7XUo94uWXSdPmfftsIuqetsqqL/z0E4lo/f13KpBGEBuE49lzHMa2rMMX17jPqaNTlfKrGRMXoTnPeul1jE+IRExMDDxkboFmymul5lQKh0WLgP37gSlTgPPn603+NhVJa/PYY8CgQWQnSRGE036peytENbrLO/Z6Az+kpPSAx9kig2ZDuYVAyPSrbpmVmZmJXX/nA+D+rTt36Yq4uBDZ5qIPFT2K2TRoAHz9NVnU1xOBBKhIWo+LF4GdO0n5JyqQgqTnlWBf5nVu+6XDBSj8LA2ePVLROLob57jc4jsWjcLkCxRadyAHG99agJxjezQts5q17w/voXM4x9tj30hKPaRVK/JTWQmcPg107WrtGSkOFUlrUFdHTBb5+aT1lczmNUdBf2emzxurP0b3NhF49LOTnOfUQTiWik4VMqO2iu2ECUN7a/yKpS5eeOTDI4LzpVDsgv/+F1i9GvjnHyBEOQuILUBF0hq8/z7pAr53LxVIAfh2Zvq0CglFT6YlZvQpt2g0pr54T+sZCo86fpGcOPlxpHbRvYnQ6FGK3fP888BnnwHTpxOLmAP3n6QiaWkuXgQWLACeeQZITLT2bGwGsTszbdQmSmubVT/66zJK//iKt2UWbRFFcUi8vEht6aFDgfXrHbqEJhVJS7NmDalasXSptWdiM+jvzIZFuAHl1wAYFg9tE6USZlW+SFUh8Z48eTK+v1hjcI7a0EAait0zZAhxF6WlAcnJQIsW1p6RIlCRtDRvvQXMmQM0aWLtmVgdoaCcn3OqUfbnTnj2Gi94rKVNqg9HN0Jn1yv46dxNANGc8QkdGAS0vEPNqJT6xYoVwKhRDiuQAC0mYLliAhcvkkAdamIFYDwo55m+4Xhvfy7n8dlJUUhU+SkajFNTW4f5W89wni/8LA3+Ue3g3PNxznMrxnRASqdWNAmfUj9hWeDSJSA83GKXpMUEHAmWJTb7/HyShOvqau0ZWRUxQTnBLZrwBrjoNzyWC2OiDQCfbtmB2JbNDZa0o2ZUilgcakH1/vukxV9GBqnx6kBQkbQEGzeSUk67dtVbgdS+IYgNyrFUgIsY0QYAlwautLYpRRbE9vg0JqQ2I7SPPgosWUKiXr/80nrzUAAqkkpTXk4Kl48eDQzktmiqD+jfEHyqrwFuhlvuWDLPUYxoA9aJpqU4HicECk+oe3yqMSakfM9b7XPp7Q0sX07yv6dNA/r2tdy1FcYiPsk1a9bgrbfeQmFhIdq0aYOVK1eid+/evGP37duHfv36cR4/f/48GOZBX7wtW7bg5ZdfxsWLFxEZGYnXX38dycnJouZjUZ/kyy8T5/b58w6fdKuPOjCHrwuFIZQuNq5/cwl3v4fcqkZGj9s2swcVxHqCHDs0dZsz/e4uF2qbo1G/GZzx83r6oGX1FWRkZOBYzg2k+/bnjNk2swdi/Rrhp0P/4LlfeYoTayG0O1WMujqgZ0/g9m3SOF5hq5nD+CQ3b96MOXPmYM2aNejZsyc++OADDBkyBOfOnUOIAdHIzMzUeeG+WqXbDh06hNTUVPz3v/9FcnIytm3bhrFjx+LPP/9Et27cEmVW5fnnSbBOPRNIMT4+feQOyhHbZ1KMQFKTav1BrClUTVlZmdE2Z02aNNFUXYqI7IE/qrjnWfjCS7hz5jd4enqi1eDpfCV+kfL0S7j881o0bp0InxHzDL4Ovt2pojg7E9/kzp0kDsNBUHwn2a1bN3Tq1Alr167VPBYbG4tRo0ZhKU+uoHonWVJSAi8vL95zpqamory8HDt37tQ8NnjwYHh7e2Pjxo1G52SRFQjLAjduAH48bd4dnM3H8nijQ7WJD/HC8bxSze9y7x6FbnTv7M4UvbNdntIOri7O1KTqoLAsi8LCQh1hS88rQX7sOM7YrTMS4ON0m7f5dWFhoWZccHCwTnszdcuzoKAgTZuzrScKkPbtKc41prdzx9SH2sHPzw8rf8vi/Zy2rs3FaFUjNPCPwqK/bht9jerWcFaBZRWtxOMQO8nq6mocP34cCxYs0Hl84MCBOHiQGyGoTVxcHCorK9G6dWu89NJLOibYQ4cOYe7cuTrjBw0ahJUrV/Keq6qqClVVD5Zu5eXlEl+JCWzeTCJaz52rV7tIsTvIl4a1BgBF/CdCxca3vrsIBbXN4BbPNcvzibZ+OTmK5ZAzIKWqqgoXL17kFbiKigoAgKurK6Kionh7kALAoMlzUbzvcwCAu7s7YmJiwDAMnnjiCY0YxsTEoImI/GehAhNDesXD35+81kSVH69Ivv7Mo5r3Y1/xUezNvGHwWqv2XEDV/TrLml0B4p/MzgY+/tiy11UARUWyuLgYtbW18PfXDdLw9/dHURF/5/jAwEB8+OGHiI+PR1VVFb744gs89NBD2LdvH/r06QMAKCoqknTOpUuXYvHixTK8IpFUVADz5pFAnXoikEKFAfjQNl0qUSXn2+P5vM/VqPrjEe/b2F7JfU5J0aZIQ6q5U83Nmzd1BFBtAs3JyUFtbS0AwNvbG7GxsWjXrh3GjBmjEbjw8HA0aNBA0NLQLykJk59PBcMwCA0NhYsZraLEREiLGTMrKdqoSAJWMLsCpLjAggXA5Mk20aDZHCwS3arfTZ1lWcEO6yqVCirVA/NAQkIC8vPz8b///U8jklLPuXDhQqSlpWl+Ly8vR3BwsOTXIZrly4Fbt4B33lHuGjaE2N2jkoUAxMyjpFFLPP54DwQZ6DNJxdE4cqcd1NXVIS8vDxkZGdh7Jhebb+kuLLVv8rW1tbh06RLvrrC4uBgAuTeEh4eDYRiMGDFCx/Tp4+MjeJ8AhHdwCyeNlPWzISZC2tgYPiEVIrf4jmU/21OmkNqus2cDx44Rf6WdoqhI+vj4wMXFhbPDu379OmcnaIju3bvjS63cm4CAAEnndHd3h7u7u4SZm0FhIRHHOXOA0FDLXNNKSNk9JjG+ivhGtKvkiL1Z0BQO0zF1lwcAd+/eRVZWFkfcsrKycO/ePQCAZ8eB8Bo8i3Ns2qvLUHxsB7KzszWuk8aNG2vEb+DAgZr/R0dHo2HDhia9PkvmwYpJbzI2Rv1Z/vZ4Pr4+ym9BAazQis3ZGXj7baB3b+Dbb4HUVMteX0YUFUk3NzfEx8dj9+7dOukZu3fvxsMPPyz6POnp6QjUquKQkJCA3bt36/glf/31V/To0UOeiZvDvXvAsGHA/PnWnomiSI1efbYft96ppecA0Mo4psCyLIqLi/HT4X+w7uBdnef0TXksy+LatWu8O73Lly9rjvPz8wPDMOjWrRsmTZqkEbjD152w8PuznDncvnMPffr0wfTp0zVjW7ZsCWcFdij2tohSz09IJFPigqzzGnr1AkaMAA4fpiJpiLS0NEyYMAGdO3dGQkICPvzwQ+Tl5WHGDJIntHDhQly5cgWff06c4itXrkRYWBjatGmD6upqfPnll9iyZQu2bNmiOefs2bPRp08fLF++HA8//DB++OEH/Pbbb/jzzz+VfjnGiYgAvvnG2rNQFLEVatTIvRKXsoNVch6Oxv3795Gbm8srcLdu3YJHm368aQerN2xGXc5hzdiysjIAgIuLC6KiosAwDMaNG6cT7entzf93SC8p4H184fz/IKVTK/lerBHsbRFlyPS6Nf0q/Jo2tHzwDgB89x3g5mb568qI4iKZmpqKmzdvYsmSJSgsLETbtm2xY8cOhP5riiwsLEReXp5mfHV1NZ577jlcuXIFjRo1Qps2bfDzzz9j6NChmjE9evTApk2b8NJLL+Hll19GZGQkNm/ebP0cyZdeIpUmBgyw7jwU5t092aLGKeGDtIX8S3unvLycN68vOztbk9fn4eGhEbUhQ4aAYRjkNWiJd4/c4pzvx593ItLpGhiGwahRox7kA0ZEwE3iDVLILGhxc6EdsmBILK6VV2Lbyauc56wSvAMQgayrA7ZuJa217LDJPO0CIld+zYkTQHw8cVY7cANSMTmQgLx5j8a6c2gTF+yJ9PwyReZhT9TV1aGgoEAnylP9c/Xqg5toy5YtOXl9alOmfoCLUH7f22M6YLSMuzz9hVB9/RtKJT2vhLf4vhp1pxqLk58PREYCr74KvPCCbKd1iDzJesULLwAqFQl5dlDE7OLGdw3GmPhg2VasUneOE7qH4ZXhHnbjTzKEmCjSe/fuITs7m7MrzMzMxN27xH/o5uamyeubMmWKTl5f06ZNRc9HaDcXIfMuz958graCsRrEVtuNBwcDM2eSqP8nn7S73pNUJOVg717S4eO774AGjveWSvEByimQUn2fADQ3VXu/seovDiZ2DkB/3zscMbx06RLUxiAfHx8wDIP4+Hg8+uijGjEMCwszK69Pja1FflJ0+SNbOGfS6v74F18EPvkEWLaMNJ63Ixzvjm4NVq0CunQBUlKsPRPZkbKTk/OLaKgogCWub034Fgef/12E5Z+l4f61C4iIiADDMBg9erROMIyPj4/ic6O7PNskPa+E1xepZmDrAAvOhgc/P9INadkyUmglwMrzkQAVSTnYtAkoKlK0TqE1kLKTW57STrYyblJNrI4WmCNkNvvfh59j+oCOlsv5FYDu8mwPY6ZWixcT4GP2bMDfHxCoyW2rUJE0l5s3iY09LMzaM5EdsVGsKXFBsgikKakdM/tGWK+As0zU1tbi8uXLGhPqb7l3gSZxnHF+/oFWF0iK7ZGeV4LLN23UH6mNlxcwg9sizNahImkOJ08C3boBBw6Qfx0EtViJqQuZEheEFWO5N3SpOMLu0Vigze3btwVTL7SryIT3SwXacd9TddNnCkWNmO+N1YoJCPHss6Qa2XPPWXsmoqAiaQ7LlgEtW5LUDwdBrFjJEcUqtaScGlvcPeq/b4NDXdCuVrfzREHBg0T5oKAgMAzDW0XmVEEZbyi/TewGKDaDWHdIryiexpTWpKYGePNN4KmngMaNrT0bo1CRNJULF0hNwvfec5iIVik+SHMF0pGKAvC9b79crsUXX61BWFOAYRhMnDhRJ8jGUF6XJaNIKfaDvqXCmB9Sjc0trp5/nuSTf/IJ8Mwz1p6NURzj7m4N3nwT8PUFHn/c2jORDbE+SHNu2OaUlLPG7lFMruK+zOu8jy/5eAvmDWRMui6NIqVoo7+ojHO/AeerZ4AWSQaPs8nFVWQkqeX61lskb9LV1dozMggVSVNgWaCyktjUTew2YGtsPpYnygdpThSrve0e+TpezOsfxWnge6zSDwjvyzne2cxoZxpFSgH4LRXpVb7wzsmBd2MVShq15Bwjd1EP2VmwAOjUCfjrLyAx0dqzMQgVSVNwcgI+/5yIpQMgVrxm9o0wWSDFmHL5SspZy/fIN991B3KwZPpo3Cs4DwDw9PQk5tN2zXGC5xyJKj8LzJTi6OzJuMb7+MT5y5Co8uP1X9u0QAJA+/ZAXh4QFGTtmRiFiqRUKiuBH34AkpPttrq9tgkRgFHxMnc3J7YwgLVKyvGZVIX8PVNmL8AjnUPAMAz8/f019U356o3a9E2KYnMIRT9fbRGHpgn8rabs2n8dFATcvw+Uldl0qToqklL59ltg4kQgMxOIibH2bCSjfzPvpzIc+WZus2QpJlZrlJTTn9/j3VthaFA1DhzKAdCEM75330Qk8uymqQ+RIgaWZXHlyhVeMRSKfvaM6ICvi7nnUlsq7PqzN2gQie3YtMnaMxGEiqRU1qwhrbDsUCD5TIjG/JDmNEuWEi1rjdUv3/w+PVyANz5Lg2vzlry9Ew3lKlIfIkVNVVWVYOH527dvAwBcXV01hecnTZoElUolGP3czIilwm4/eyNGAP/5D6lYZqOl6qhISuHECdJle9s2a89EFKaGjKsxV7jEXM+SgTli349h89/DvEGt8ehnJznP2Vw4PcWqFBcX8zapzs3NRV1dHQCgefPmiI2NRceOHXWaT4eFhaGByPQxu94tGmLSJNJBaf16UgTdBqEiKYW1a4FWrYDhw609E6PomxGn9QwF07Ra9PFy1GI1JiiWDMzRfz+6Ni2D+/XzQKPunLEniqrRuHFj+/X1UGTl/v37uHTpEq8Y3rx5EwDg7OyM8PBwTuNphmFkKzxvt7tFQ3h7A48+CnzwATB/vk3mnNvejGyZvn2Bnj1t8g+pDZ8Z8aO/LqPwszR49khF42jDJfTMiWLVhi+oQE1yxyCLNNIVyss8WuEJ92NH0TQuCBVNua81t/iO467eHQwxuaxiKC8v5/UVXrhwAdXVZIHZpEkTjfgNGTJEYx6NiopCQwdJB7M4M2cCf/4JFBTYZA1s277b2xqPPWbtGfAi1oz46oo16N46Ao9vPMd5bnlKO7i6OFtMDLadvIqJCWGKXstY0NCMV98VDKFX74IdcvXuQPDlsi4YIrz4YlkWBQUFvLvCq1cftJpq1aoVGIZBUlISnnrqKY0wBgUFaSKaKTLRqRNw7pzNdlGiIikGliXJr1OmACrbrhnas/ld1NwqAMANLIqIjEa/9iGYcaWSY0aUq82VNsYCd5Rq3yOlqo9dh9DXM6qrq3HhwgXNbu/oxetI9+2vM2bdgRwMahOAWL9GgoEzd+6QRaS7uztiYmKgUqkwZcoUjRDGxMSgadOm1niJ9RcnJ+DMGaB5c1IP24agIimGI0dIGbqBA21GJIWE4K9bjcGezoJTe65IqiMzLWVGNBa4o0QQjJSUE4cIoXdAbt26xbvTy8nJQW1tLQDAy8sLLQdNB3gymJKffgl5P68F+2+xD19fXzAMg/j4eDz66KMaMQwNDYWLi4slXxpFiOpqoHdvYNYsYMkSa89GByqSYvjyS7K6sZHyScaEYNzjM7D5eAHncW1RsoQZ0ZAIyrVbk1oYQej61KxqWfR7aGr/3LhB0pKcnJwQFhYGhmEwfPhwnWAYX19frPwtC6v2XOCcu3Xr1ngl+WONv7CFDSeqU/7FzQ145BHgq6+AxYttyvRKRdIYNTXA5s3A5MmAlVedYs2IAZ4NbcKEyGfKvJt9BB/MSkZyH/ODdqQWRgDsoKalg6FdRUY7KCYrK0unh6Za0Pr3768RwujoaDRq1Ejw3IkqP16RfP3p8fTva4889hhJBTl8GEhIsPZsNFCRNMavvwLFxVYP2pFqRowL8bYJE6K2KdPTuQpDh6bh2KB4VDdqYVagkCmFEQA7qGlph7Asi6tXr/LuCvmqyPTu3RvTpk3T6aHp7Cy9oTT1JxtGStSvXBHCZtGnD0mx+/JLKpJ2Rbt2wMqVpCCvldh8LM8kM6KtmBDV81i68zwCJ63A1znA1zlnNM8bi0jUR2wtWH3oDdQ8qqqqcOHCBV4x1K4iEx0dLbmHpqlQfzI/+ovq5I5BeCc1TtRY9ffR4sLp7Ez6S969q/y1JODEsg7SykIC5eXl8PT0RFlZmSJfXDkRu4O0dTNiel4Jb6qFmm0ze4iau72127JHpFSRUQugWgzDw8NFV5GhyMfNmzc1f6e/Mq5gT4N4zpjkjkFYMbYjrl+/rhl7MPMq9rt35R277eSDlJh+Kl/MSoq2qe+Qpe7j9NNsiO3bgZMngZdftoojWUrtU1sWSMB4pKuxdBCx/tgklS/2aJldrdluy5axlSoyFPHU1tYK/s2Ki0kFdCcnJ4T2HQN054rktpNX8cUr03Az6zgAwMXFBSHDZgKtudfSFkiAuDL2Zt6wjFhevw78/TcwdKhy15AAFUlDvPceCU1+5RWrXP7dPdmixtmDGdFYuoeh56XsHp9NisazSdH1zvwmZBqrqKjgrSKTnZ2tqSLj4eGhEb/Bgwdr/k+ryFgHvr9ZZmYmsrKyNH8zdbATwzAYOHCgZjcfHR2NjBuVglabEeOnYmT7F8EwDCIjI/H+/lze4Cch1GIp1UUiiQ0bgEWLgGvXABuw9FFzq9Af4cYNUpV+7Vpg+nSLzk+9azL24bU3M+LczemcFSpARF6oRJ0xM63Y8zgy+ouIiKqLcDr1g2AVGW0/oTpwhlaRsSzqlll8u8IrV65oxqmDnfR/jAU7CX3X9N0aUr5fxs4lG/n5QEgI8MUXBgMmqbnV2uzYQSrtPPywRS8rdtdkb2bEZTvP835pAfI2C/Haz9wSevrY22JBTvhM8jnukYgNjMGUHj1oFRkrU1lZKRjspK78ox3sNGnSJFmCndRBOtrfOT6LE1+EcEpcELam839XtVGqYhaCg4EuXYAff7R6VgFARVKY7duBbt0Af3+LXVJsFKscHTosiTHfqrqUmP4Kd1/mdRzPKzV4bntbLMgJy7L46Tj/+zpw0px6+75YGpZleYOdMjMzBVtmpaamKh7s9E5qHCYmhBl1PfBFCPs1bWj0XqRo27gRI4C33iLuLjc35a4jAiqSQsyeDfyb7GwJxO4gkxhfmxdIU/pYaq9KxbwX9Wn3qK5ZyrcbcW4/HF69H7X2FOsF9+/fR25uLu/f4datWwBsL9hJbBqY/rgFQ2IR7uOB+VvP8I5XPA5i1ChSy/XWLas3Y6YiKUSfPha7lJQo1mf7RSs8G/PQF7hBwU6oK7sGwM/gceE+HqIjWDuHetntLslQ7pnYmqWxsbFo27YtHnnkETRsyWDFP9zrqOvSUqQj1DIrOzsbNTU1AHSDndQtsxwt2Cm1Swhyi+/ofB9r805i+9KnlF+ctmsHfPONstcQCRVJPt5/nzQDHT/eIpcTs9MCbDOK1Vjt1F35LCoO7UXThFTBc8zsG4FdZ4tELxReHMoTs24H6C8gVO5lCL26T3LNUv0gm7t657XFz4kcyJncXldXJ9gyq7CwUDNOHezUr18/zJw5Uydwpj4EO2mbYrPTD2LBspcQ/v7Tlrn47dvA3r2kyb0V32sqkvqwLLB0KTBmjMVE0pht31ZNi/o3/SSB2qkvvPACVu+9yHlc/bqyrlUImnX0sVcB4LMWZFZ5IqcyBF1a3ZZUs1Sf+lB1RmrfSDX37t0TbJl199/KLm5uboiJiQHDMJg6dSoNdtJDbYpNd4rGAgCZmZno1s1w43ZZOHQIGDmS5Kp36KD89QSgIqlPejpw5QpxHFuIXWeLBJ9LiQuyOdOikFl0j0Dt1FbejXlrbM4doHKIikJidjg5N27zPl7TMg7Pz3za7NdlrRKESpYuU5uffzt5AZ/k63by0A72YlkWN27c4N0VXrp0SdMyy8fHh7dlVlhYGG2ZJYKYGNJ+LyMjwzIi2bcv0LQpiXKlImlDbN8OeHqS3mYWwJg/sleU8c4WlsSUsnCuLs68ux1HqCik/35M7RGMkSEs52Z9sbQWzcct5T2HYqH0CmPq7k4b7Soy+n5AtfnZo20SfIancY59YdkqlJ38FRkZGSgpKQFAAmciIyPBMAxGjx6tk05BqwSZh4eHB0JCQpCRkWGZC7q5AYMHAz/8ALz0kmWuyYNFRHLNmjV46623UFhYiDZt2mDlypXoLSBCW7duxdq1a3Hy5ElUVVWhTZs2ePXVVzFo0CDNmA0bNuDxxx/nHHvv3j3znea7d5Pmyq6u5p1HBOl5JZj7zUmDYxQNs5aIFFHTRv0a9Hc79l5RiO/9WH8wH689mYbqwiz4+fmBYRh07doVExkGh1jgKM9m25b+xmLhe+18qTxqtFtm6QfD6LfMYhgGAwYM0Pz/ZHljvPwT98ZccOUq4qKidPy2kZGRcHd3V+ZFU8AwjOVEEiCl6aZMIVGuzZtb7rpaKC6Smzdvxpw5c7BmzRr07NkTH3zwAYYMGYJz584hJISbynDgwAEMGDAAb7zxBry8vPDpp59ixIgROHLkCOLiHlSxb9asGTIzM3WOlSWqbNYsi+RGitmR2YI4aJvTxAQY9VP56rSs4nsNanOtsdZWtuKLFTIpCr0f/135AZ7o3x7N9b7Uc8GthGJrf2P9ubAsq1MQW/1zvrIp0H0S51wnsgtwK/uEqJZZffr0wfTp041Wkck+wW0gDgCLF72ClE6tzHz1FCkwDINff/3Vchfs14/83LhhNZFUvCxdt27d0KlTJ6xdu1bzWGxsLEaNGoWlS/nNT/q0adMGqampeOXfGqobNmzAnDlzUFpaKur4qqoqzWoVICHewcHBVusCIqYUlC0UDNAX8i4tG+PYFcNtbLbN7AEAgjddKRWFbKHEnP58J3YJxEC/u8jIyMCOzFKcaMCdo7G/nU307vsX/df3UGAdYu6d0xE49ffMxcVFY8p0Y/rimDPXV17880rcOfObThUZ/VJ4Ur9zQt8XxcqiUQRZu3YtZs+ejTt37sDVAtY2QzhEWbrq6mocP34cCxYs0Hl84MCBOHhQXL3Auro6VFRUcFblt2/fRmhoKGpra9GxY0f897//1dlparN06VIsXrzY+MW2bSM9zRQuRWfMzNg51MvqAslnTjMmkPq9LPWxt4pCfO/B58cKsfyzNNy/doF0W+jGFUlXF8MNhG2lzyff6/u90BnbvtuMmBZuUKlUGDlypI4p0+3f6idbTxTg2LenOOecO3sWJvZZI2sVGdpc2TZIzyvBrWZRcGP64qPdp5DQNtIyf4OaGuCffwCB+7vSKCqSxcXFqK2thb+e+dLf3x9FRcIRndq8/fbbuHPnDsaOHat5jGEYbNiwAe3atUN5eTlWrVqFnj174tSpU4iO5ibbL1y4EGlpDxz/6p0khzffBEJDFRXJ9LwSo2ZGW8gDXC3SXwiIM4vaQ0UhsZWC3lr3GaYP7Ijz1+/x7nDsxce4L/M67+MvrdmINCMR1UKvMWVAL0QrcOOsD2kutoz299dn2By8+cc14I9rynYDUbNxIzBpElBcDLRoYXy8zFgkcEc/6ZZlWVGJuBs3bsSrr76KH374AX5+DyqIdO/eHd27d9f83rNnT3Tq1AmrV6/Gu+++yzmPu7u7cWf+7dvAsWPkj6Egxvx6SYyvVW8Aan+hUDpH32gf7M8u1vwupnaqPVQU0hfx+Ea3UHnjMtCEu3r1DwxCw4YNERfS0GZ2OMZMuHztl07VtQJUAzhjxaRtW2N3Zys78PqGoe+voWAt2UhMJP8eOAAkJyt3HQEUFUkfHx+4uLhwdo3Xr1/n7C712bx5M6ZOnYpvv/0W/fv3NzjW2dkZXbp0QXa2+N0Phz//BGprH/xBFMLYLsOaZefE7PYe7tgSc/rHSFrR21IUK5+Y8N0Ejt9rjoaF6QDPn0PbnGoLOxz9v1t3fyf0dLmoI4h8LbO6xqrwF8/5xJa0s4XXTlEecxumm01ICBARQarvOJpIurm5IT4+Hrt370ay1ovbvXs3HjZg0ty4cSOmTJmCjRs3YtiwYUavw7IsTp48iXbt2pk+2X37SCFdlbKJ+4YKB1hzFyKmZioAzc1QzDxtLYpVKK9vr4DZ8eFxk7D5ODeyUn+hY8kdjr7I8wn84Wss9py9DP/cA2AYBlOmTBGsIqP/nkj9DNLdneNjTsN02UhMJPdoK6C4uTUtLQ0TJkxA586dkZCQgA8//BB5eXmYMWMGAOIvvHLlCj7//HMARCAnTpyIVatWoXv37ppdaKNGjeDp6QkAWLx4Mbp3747o6GiUl5fj3XffxcmTJ/H++++bPtG4OMDXV9EagYYCV6wVrCKlOEBKXJDoG6IUH6QlKgoJ5fV9/eZ8FDp5w6PbWM4xAZ62Y04F+EU+xp+/bFrjNv3w+XsvGp0r3Q1SjMFnWldjse/DQw8BR44A9+4BEko2yoHiIpmamoqbN29iyZIlKCwsRNu2bbFjxw6EhoYCAAoLC5GXl6cZ/8EHH+D+/ft4+umn8fTTDwrpTpo0CRs2bAAAlJaWYvr06SgqKoKnpyfi4uJw4MABdO3a1ZyJmn6sCIyJhrGISCUQG20KEIFcMVZcdJmU81rCvJyeV4Jvj+fzPhfSpjMGB/vgm1Luc+rdrS2IiJDINz33A9Ca3yoj1gxGd4MUYywYEot+0c3xUPJ4TH58KpIS+1j2+zB+vMVqaeujeJ6kLcLJr7l6lYQYJyYq0uBTTF6kpXO+lKqZKmVnaolcSGPzUe/g+cyOtpCnCTwQ+a+PcoU+tuwYan2ikFXD/fvQPEKK3ERGRiIlJQVvvfWW5S/OskBlpWYn6RB5knbDjh3Ak08C5eWKiKSxwBVLRrRK8T8C0mqmSoliVdq8LPZ1qnfwtmp2NCbykx+fgtQuITZZyYfieITE9cGholqk55VY/vM1ZgxQVwds3WrRy1KRBIC//wZiYwEP+R3QYvIiLRXRKrU4udQbrZQoViUFUsrr1A46sDWzo5hFh1rk30mNw8SEMJsTeYrjMHdzOnKjHwEAJK89aJkcSW0iI0nOpIWhIgkAx48D8fGKnNpW8iKl7PJMiTYVsxhQOopV6i7Z1ndbezKuGR1jyyJPcRz0LRWAhXIktYmPJwVfbtwgQZYWgopkdTVw+jQwYYIip/8j2zZ2kWIr6CSpTIs2FWNSVjKKVcru0RqF0w0l+wt1yLjavCOa9hgneE5bF3mKY7D5WB5HINVYtM2beiNz/DhpoWUhqEgWF5M3X4EmooY+XIDlbnKbj+UJVtDR59kkaaItNhdSqcWAKbtHSzex1hfwrk3K4F90yGiHDM+IDvi6mHs+W+mOQnF8+HaQ2li0BGNEBODlBZw8SUXSogQFASKLrUvB2M5mdlKURW7WUqNNpdx4pXT0UOKGbou7RzHJ/kdve6LhiWy0CWiGiRMnGuyQ0Ywn6tbSIk+pnxgTyPgQL8su1JycgHPnSNEXC0JF8uZNwNMTkKljASDO/ye29JfS81ie0g6uLs6Sgz2s2dHDVnePfMn+bg3481+ffHWVqDnZatQtxbFJzysxKJAA8NIwKzRiCAy0+CWpSD7yCGmyvGmTbKe0lWAdo/NQmdZxw5odPaTsHqXmeJqDULJ/5bk9aNg6yaxz04AciiUxVHxDTZLKSo0Y/vgDmDfPoiXqqEhmZQG9esl6SlspYl5TW2d4HhL9j4B1O3pIuTYgLcfT1Pmod3hCC5JecW3wdxX3cUtYEigUqYhdhJpy75CFBg1It6bsbCA83DKXtMhVbJXbt0m1nZgYWU9rC0XMjX3YpdRh1cZaHT3ErG6VvL4++u9vrCcLviZTY4b1R+fiOzZT/5VCEULsItSqn191A4qsLCqSFuHiRfKvjCJp7IM2sLXyTmcx/sJeUdLzjDYfy7N4LmR6Xgne3ZNt9LpKXV97HupdIwDO+3u+jL8wvquLM/UrUuyC134+Z3SMtRoxaGjenDRezswEBg2yyCXrt0heukT+jZbPdGDt3mtizSVSQ7fFnFfuABlTKgQpEaDDacgc4iX6WPX7TP2KFFtEvfirqa3D8bxSg2OVrpQlmpgYspO0EPVbJB9+GCgpIbk3MmGseICSeUVKmUvERsnK+QVSukKQ2DnwRdEK3UziQ7x0nqNmVYotI3YRanN5ua+9BihY0Fyf+i2SgKwCaSxs2lQ/oFiMVdUxNdpTTDUduQVSrP/RUrtHMahD4qlZlWLLSEmhig/xsr283KR/o8XLyy1yufotkpMnA337ArNny3I6Y6ZWU/yAYhFTVccUgbR0gXZbWN1KjaIFdHeNVBwptorUxZ9VciGNkZ8PfPIJuX9bgPotknv2AF26yHY6Y6ZUpUytYv2Fpty8jTnz5cz5FCtOptaXFXP93OI7uHzT8GJHzeykKIS28KC7RorNI7UAB2DD7oKSEuDVV4GEBItcrn6LZFkZECKfmdAaqR9K+gs3H8sz6syXcxcptgi7EjlapphXbcpPQ6EIIPWzbXM+SH3U9+yrhisCyUX9FkmA1G6VAWulfhgTlpS4IMWq6sgl/OpVrpgi7HIuNrQj+8wxr1JMw1BnFLmPFTve0Dhz5msNTN092pwPUh9PT6BhQ+Ca8VZyckBFUqZagNZI/UjPKzEoLPEhXlgxNs6k8xr6YoW1aIx3xnaU5fVYywdpys5RiXnUV/jq3Ipt4Cv1WLHjDY0Tes5WhVPq59uSJRzNxsmJbG6KhC13clK/RfKTT4DQUFlOZWl/ZHpeCeZ8c9LgGFOc7ul5JZhr5LxyCaTYIulyrm6lrK77Rvtgf/aDXlV2scq2A4Tq3Ao18C0tLdX02/wzowC70VHw2Js3b+r05EzPK8GFiGTO+IFtAtDSvVpz3oOZV7HPrQvveVlwi0esO5CDa+WVOtHsM/pE2ETRCFMCz+xGINWMGyfbvdsYTizLsha5kg1RXl4OT09PlJWVcVoTmYNQa5mZfSMwf7C4VbIYxJpCpV5TqfOaei1A3vxLqavrFWM6aOqy2tpOwR5gWRZXr17lNJPOrPKEc8/HOeNfSGqJ0LprnPFFWjuGkKEz4NR+OOfYZpf/QOHu9SguJosaJycnhIeHo3mfx3AjoCtnfOWxLbj2+6cAABcXF4QOm4na1twehY0v7sW1nHNoOuBpya9f6m5Trl3p1hMFSPv2lOjxct+fLIVS93F96vdOctMmYPp0WU61bOd5XoFM7hgk6wdQqUAdSxUMkLKTk6vChym+GQCamxUVR8NUVVUhOzubCOC/OzP1z+3btwEArq6uiI6OBsMwSIjphSM850mb9zzunPkNDRs2RExMjKb5tLrfZkxMDD48WIBVey5wjvX09MSYWbM0Y6Ojo9GwYUO8szuTd3yPnj0x4ekRYBgGkZGReH9/Lu84f39/dGunwt670t8Xod2mVFOvWGpqapCTk4P8cxkQc2u3a9dBaanFqu7Ub5HcsEEWkTQkMNtOXsXEhDDZPojGfJ/xIV4mCYuxggGdQ007rzbW8D+a6nukgTlciouLObu8jIwM5Obmoq6OdJxp3rw5YmNj0aFDB6SmpmqaSYeHh6PBvz1bt54owBGenc5z8+Zict+PEBISAmdn/j6ciSo/XjF7d+EM3r+X0PiXp6bojBcat+L5J5BbfAd7JezMtNFfOPOZlU0xP2t25VqLkgsXLuD+/fsAgMDUxXALjxecl927DtatA5Yvt8il6rdIytTh2pJBO8Z8m6b6IY0VDHhxqHlJxdbIgTTFN2PXq2sZuH//Pi5dusQrhjdv3gQAODs7Izw8HAzDYNSoUZrdG8Mw8PHxMXoNoc/ww/0SEGbkfY8L8caMPhGiu6qIHS/1vAC3DKFYftp/FH+VZeuYn116TeGMW/7TaUyOuMf5O1zTiuoMCQkBwzAYOHAgZmntpAtrGiJl7UHOOR3m8x0YSHaTFqB+i6S/vyynsWTQjhK5mGLKzpn7pbJ0DqTU1lqAA6yuId6vVV5errMLUf8/Ozsb1dXVAAAPDw/NTXfw4MGa/0dFRaFhw4Ymz9EUQdJGalcVseOFxgnNd2DrACTzCJExlr/1P1Rn7NeYn4eqOmMXT2TI4fzb2PZaGpxL8jTm5759++qYnz08+O8tgQDvnO39861BpqwEMdTvwJ0FC9Bs6VJZzilk1pPTKZ6eV2LwS7ltZg/JYrb5WB7mbz1jcIwp59XG2LzVyPVeCQVQCeEoq2v9z+CTfSLwWNsmvLvCq1qJ2K1atdLZDap/goKC4OTE3wJMDmw1fUIIvvmaYs7/T58ATB/QQWN+BoApG47ypnMtTAzCE/3bw8XFRbY5yzneahw7hvKuXeEJ0MAdRWnXTrZTLRgSi86Bbhj12DQ8/exsdOsSL/sHzdhuTKpZ11IFA4yVtpNTpKQKpKOsrvlMyx8cyMGrU9NQXZgFNzc3zW5kypQpOruRpk2bWmXO9hYUxTdf7d3nH9k3dD57KXFB2JrO/SwmtInQEUiAWFD4RLJrbJjJAik0ZyHkCB6yGE2bAm5uwL9WDyWp3yI5nBtKbg4PdYhAg4IT8Lp1DimdHpb13GIKmEsx61oqmtVYaTu5cyDFCqS97R6NrfCF/OLzX1+BSX0YhIWZd7OlCKMWopROrTAxIUzn7+TXtKEos7K5Jmg+pOwKpQYPWR2GAW7cINV3FKZ+i2Rlpax9yZycnMAwDDIyMmQ7J6DMjs8S7a+MzVvOHEhbaK+lFEIr/Orqaly4cAEZGRn4/vQ1ANz3sk3bdoiMtIFGufUE/Z2bFP+pVF+rIQztCisqKjipOmduNwLixnHOo3STeHugfovkvn3A2LGynpJhGJw/f1628ymx49t8LE/R9ldi8hJNTVXhwxbaaymF0Ar/41efxaXj+1BbWwsA8Os6HI2SZnCOd3XhT6WgWA4pJk85TNBCn5mf1r2OS8f34cqVK5rH1f7oLq0Z/MlzLiWbxJsFywK9elnkUvVbJAUiw8yBYRhs/+s0tpwoQIQMPkljfsgklbQdn9J+SLGCJUefOqmFCexp96hGyIzasc8gzH/iQR5iQaUrb8i/zd7kKJKQYjoV+sy4tmiJxx9/XNAfrf/dVbpJvFk4OQEXuHmtSlC/RbJJE1lPl55Xgv1og2aP/Bfz/k0+Nsf5bayAOSAtZUJpP6TYvEQ5goGkRBXKadaVG0M3v9LSUmRm898IxoxN1XlNfuAP+bfZmxxFNEt3nscHIgNqWJZF8a0S3udmzHza4PdgwZBYnC8s19Qr3pp+FX5NG9pu8I6HB3DvnuKXqd8iKWNU34Obtq55yxznt7EiBUkqafmLSvshjUWxAuYLltQSc3KVtlMCfaHv3LgEvlf/0qlZ6tGmH3xGzOMcy2dGldOnZcvYTZqCRGpqapCbm6vjKzx9pRzFnXTr3K47kIOHVD7wqLzBWwqwNjhe9GdGm7mb03UK+quvZbPBO02bAsXFxseZSf0WSZl2ksZ2UKY6v//IlncXqaQfUkyDZnMFS8ru0Vb9j4Z6WP591xseZ/PQNtBPU7PU2TcC83/n3giEzKj2llYhFbFpCrbcF1K7q4n2j3ZZuaZNm4JhGDTuMpr3HIMmz0XJH18BALy8vBAbG4s2bdpg9OjRaNiSwYp/uMcYMr0bigy32eAdmS2BQtRvkZSp4o6xHZ8pfiFj6QxKRLMq5YeUQ7DEttUCbNf/KEbkn3h5BWfuuTXnqRkVwB/n8kWlKZjSFxKQVzzr6uqQn5/PW8hBu6tJcHAwGIbBgAED8Oyzz2r8hYGBgXBychIs0D506FBMf206GIaBr68vp+jD3Z3SPjP7Mq8LPmezfu033gBGjFD8MhYRyTVr1uCtt95CYWEh2rRpg5UrV6J3796C4/fv34+0tDScPXsWQUFB+M9//oMZM3Qj97Zs2YKXX34ZFy9eRGRkJF5//XUkJycLnFEAmaqJGPoQmXpDMyS8s5OiJImAktGsxnbR8SFeZguWI0SvmlJHVk19MaMChsWlokUsrxlx2+8HsecWGXOqoAzXO07SeV5tnrx69SrWHSjgPDeoTQB2nS0yKZH+7t27mg4oOu3AMjNx719/mbu7u6aQQ+/evXUCZ5oY2Q0JFV6fN36IbOkkhr5fNh2806ePRS6juEhu3rwZc+bMwZo1a9CzZ0988MEHGDJkCM6dO4eQEK7pLTc3F0OHDsW0adPw5Zdf4q+//sJTTz0FX19fjB5NTA+HDh1Camoq/vvf/yI5ORnbtm3D2LFj8eeff6Jbt27iJ3fnjix5knyJwEkqXzybFG3yB8yQ8Caq/ESfR8lo1vS8ErywzXBJO3OiWO09elV7Z2LM2qBG6G/raGbUu3fvIisriyMuWVlZGnFp2LAhVCqVpmZphW9bbCngnmvFOyvBXjxIzJNdH+G93qDJc1F96yqvyL6zaRcOlOjGJ2jvUFmWxbVr3D6XGRkZuHz5suYYPz8/MAyDrl27YuLEiZq5h4aGmlzIwZwiA2I+M8YWbxO6h4meq8X55huLXEbx2q3dunVDp06dsHbtWs1jsbGxGDVqFJby1E2dP38+tm/frpNrOGPGDJw6dQqHDh0CAKSmpqK8vBw7d+7UjBk8eDC8vb2xceNGzjmrqqpQVVWl+b28vBzBwcEou3IFzYKCZHmdALDvzCUM/78pWPz805g3id+XIBY5asGKqZlqaiCNGPFNUvnik8nchrdynR8AxncNtsmu6vrz9668ipKGhj9r9tL8VqxZUqy4+Pv789aO1W+ZJdRM+MWHgjE1qS2cnZ2F+0c2K4WqlS8+PVfDee72yV1o0nEQ5/HmlVfhdmg9MjIyUFZWBoA0aI6MjOTMVaVSoXnz5obfODNQyo8qVDNWzYoxHZDSqZVs15OT8h494HnokH3Xbq2ursbx48exYMECnccHDhyIgwf5b96HDh3CwIEDdR4bNGgQ1q9fj5qaGri6uuLQoUOYO3cuZ8zKlSt5z7l06VIsXrzY9BciksR2YWhYdBr38s0rJmBodTewtfj2XsaiTU2NZhVrOjS1o4cU06StCaTQ7ldIIGcnRSG0hYfdmFH5fHrz+kfh4sWLvGKoLS5RUVFgGAbjxo3TERdvb3GvW8i60jkmWCOmQubJ5x8dSnbz57giO3/WDLx/IJfz+K2GQYhrm4CHH35YM9/IyEi4ubmJmq+cKGFJEJNiZrP+SAAQ6DkqN4qKZHFxMWpra+GvFyDj7++v47zWpqioiHf8/fv3UVxcjMDAQMExQudcuHAh0tLSNL+rd5KQeROdnleCwIFPYNfVBhiWV2Lyh9qQaU5spFl6XonRaFNT/ZBi2l6ZE1xiLMhIjRwtvOTElI4QtupD5UOoksuS6aNxr4AsDD09PREbG8vpNRkREWG2uIgxPZpinuzfJhDnrt3m9dtPeGqeze6kzEVMoRKb/mz+2+hbaSwSuKMfecWyrMEWPHzj9R+Xck53d3e4u7tzn5DxTdbcIEN7owJA8tqDJhcSMLR6E7uyM+YDM8cPaWz1aU4upJggIzXmpKzIiVjfqX6TXnuLUhX6TCU8sQSvJPqCYRj4+fkp2l5LTECK1L6QcSHemJUUzfu5s+mdlBmIaZggV29XxXAEkfTx8YGLiwtnh3f9+nXOTlBNQEAA7/gGDRqgRYsWBscInVMQMxrHaiNkHjQ1ETcuxBvJHYM4KSBSbqpCOZbxIV54aVhrk2/OcpfJ00bKTsxWBEbKnNVBTNaOUpXq39I0aD6RDYDbdeFiZSM0C28Pf3/LvB4xpkehMaYIqKNhqRZ5itOzJ3DkiOKXUVQk3dzcEB8fj927d+ukZ+zevRsPP8zfSiohIQE//vijzmO//vorOnfuDFdXV82Y3bt36/glf/31V/To0UPaBPl2lyYgh3lUm2U7z3MEMrljkOigjs3H8gRzLM0RSKVWn1KiWG0lzcOUyj/aN2RrIZQnWFdXh4KCAl6/YmFhoWZ8yGNvwKlVe855bTbhnAepAupIWKpFnkVYtAhYsULxyyhubk1LS8OECRPQuXNnJCQk4MMPP0ReXp4m73HhwoW4cuUKPv/8cwAkkvW9995DWloapk2bhkOHDmH9+vU6UauzZ89Gnz59sHz5cjz88MP44Ycf8Ntvv+HPP/nq2BugokKWFBA5zKNqhD7E205excSEMKNfXGOrRFNvZkqtPqXuHm0hzcNeK/8I+RS/fnM+Lh79HXfv3gWgm9f3xBNP6OT1Zd+q4Y2YdhSzpKOl2uijpCXI4gjEoMiN4iKZmpqKmzdvYsmSJSgsLETbtm2xY8cOhIaGAgAKCwuRl5enGR8eHo4dO3Zg7ty5eP/99xEUFIR3331XkyMJAD169MCmTZvw0ksv4eWXX0ZkZCQ2b94sLUcSIG9yy5Zmv0Y+Uw1gmmiYsysVs0o0tfqPEqtPKVGstrC6NWX3aAuirkbosxXSpjMmj0jUiKGhvL64JrSQur3iEH5IbQYPtshlLBK489RTT+Gpp57ifW7Dhg2cx/r27YsTJ04YPOcjjzyCRx7hTxwWze3b5h2vxYIhsbh4YCt2n7mC2bNnm7x7MGdXqlTpOaVWn1KiWK0tkFJ2j9bK3TTka6yursblfJ5MfAATJk2W9P7WB7Oko+EwfkhtKioscpn6XbtVRpEEgF5MK3y87CU8+c3/0LhxY5POsessvwnB2AdYqdJzSvohbT2K1VAxckNYQyD1b4LtmtxDbNlRjV8xJycHDZk+JnWH4MPRzZKOhEP5IbWR+f4tBBVJGWEYBgCQlZWFjh07Sj7e1CIC1vQXmppLJXYXaa3VrSk5j4Bl5qu/Y+T73Jy53Qhn8huhTW0tRowYAYZh0CAgCosP3uWcz1H8iRR+HMoPqeb+faCy0iKXqt8iKXMpI5WK+J8yMjJMEklDlfiF/JHW9heasosUs+u1ZsCLKcXILTVfvujUGH+BvqhhXfHazDk6c7rWgHYUqU/I3bjdZrgjrhayHNRvkezZU9bT5ZazCBo0DRv/KYdKYsUdYzsXodW+Uo2UxRTkVmp3au2AFzEVhbSx1HyFolOr//gEbr2n8B6jv7ii/sT6hbHSlDbd5cMQnp7A9euAn/hmD6ZSv0Xy3j3ZdpPqm79r3MM4VSut4o6xnYvQB1nJRsrGTHBK7U6t6RtRR68aW3mrUXr3qG9WFVq4PNQvEbebVCO9lFv2je/vSP2J9QNjjdBT4oKwYmyc5SYkNzLluRujfovkypUATycSqZhbccfYrq1XlC/v40o2UhYKIALIl0uJaFZrRrFK9UEqvXvUn8+jcb5ocO8W79jhIx9GapcQzN2crlNEgppS6y/GPs92GaijzdmzwJNPWuRS9VskS0pkOY25FXeM7dr4nrdmI2Uh0TaEkvM1Fyk+SEv4Hvnm81X6DZT+8RW8ej/KGa+OTn0nNQ4TE8KoKbUeIyaXNz7Ey74FEgAKCoC//rLIpeq3SF67JstpzK24I1SMAODfDSid82TMjyE1GtKWc7TS80rw7fF8UWOV2D3y5TYKLbqefXYWvjh5k/O49t+DmlLrL2KtIeY0QrcZtEolKk39FkmZ3mg5Ku4sGBKL84Xl2J9drHmMr16r0n69uZvTDfoxpKZ82LIfUoqJVYk56l8/vnktOt8/i72XKwFvbrPqthFBmNHMk0anUjiItYY4zOelsBDw9pbNGmiI+i2SMu0kASJy+75chWsuPpg4YYJkk9zczek6Agnw12s15r80x69nqDC6Gqnh4sb8kKb6N83BlPJycs3RUIGC47dccDCzDH51twCej46rizONTqXwYsz6AziAH1Kbq1cBf38qkopzkFuo2Rw6h/tgw4YNmPv5a5KOS88rERQnfZ+mUAssNab69ZQwiRqLvu0c6mXx6DprFicXc213VW+8kNIO87ee4TynNqtSkypFjXrBZ6zBupwLPZvgscdICt///Z/il6rfIukhb6URhmFw5coVVFRUoGlTgQRvHgwVEdD2NxkSU8D0nCclTKLpeSWY+81Jg2NeHGpZ38jmY3lWK04uJTjI1cWZFhGnGEXMosuWutDISrduQKz0hvamUL9F8uGHgY8/BiIjzT5Vel4JrjUKhUe7/vjw15NI6tJW1AfT0AddX/SMmS5NiToF5C9bZYuBOmJ3kHLeVLSDcsQUZ1AT7uOBlE6tqFmVwotYd0F8iJdNdaGRlQ8+AFpbZpFdv0Vy3z7g0iWzRVL7BuwzbA5W/12O1X8bLyZgbHcxoXuY5v9iUihMqcEpdwFzWwvUkeJ/lHP3qC/KQSgBn6MxLtgT6fllOnPQbs5MxZGijRR3gUNEsfLBssDs2cCSJRa5XP0WScDsCFdDomCsmICx3YXaH2nNAuZSz2tst9s51HI5WmJvKHK0ttLeNQLgXPcqXyQOyELoleEedMdIMYoUk71Dm+dLS4GqKhK4YwHqt0h6eQGXL5t1CrFCx4eYIgLWLGAu9bxidruW8kNKuaGYK5D6YhzXSnypQ7UwOuwNjSIbYkz21uplalHy8si/LVta5HL1WyQjI4FsacWs9TGlWo4aQ6Xf1CvBrSf4G+WqMTXlw9H9kGKLlJsS7GRs15heUM57XHyIl04UokOv9ilmc//+feTk5Gh6gu65dA/w7GzwGIcXSADIyiL/RkVZ5HL1WyT/8x8gQLhPoxikVstRY2yno+4faUyETUn5kLt9ji35IaUUKTelwLP+YqCfSnywlNpHRE2rjg9fJSW+xwCgrKwMGRkZyMzM1AhiRkYGLly4gJqaGgBA06ZNEZo41qBI1ptFV7NmQEoK0Ly5RS5Xv0Vy8GBZuoAsGBKLga398dCo/8PoMWMxdPAgozdBsWZaMbtNqRgtSCCxqo6tFC5X2gfJtxgQMi/3jfbRKQ6hH5BDcVz4en4CuhaH8MoLwMnvkZGRgaKiB9/xkJAQMAyDAQMG4NlnnwXDMGAYBgEBATiZX4rktdzcbodN8xBi0CDyU85vsZGb+i2SRUXA+vXAlCmkP5kZdAptjlD2GlwuH0VKp6lGx8vhj1TvNqVidHcqcRdpC4XLlfZBSqnxCgAPd2yJOf1j6K6xnnE4u4i356c+uQ2j0Ca4Nab36aMRwpiYGHgYyN3ms1pZu/eqVbhwwWL+SKC+i+SNG0BaGtC9O5CQYPbpGIZBRkaGqLFxId5I7hjEWxxArD9STIcRPj4/dEnwObmjWc1p1yUFsT5IpaKA9aEBOY4Ly7K4fv26jmlU/XOjSQR8hqeJOk//CbMkC5w5ZQmFzL12BcsCXboAzz8PPPOMRS5Zv0UygphBkJUlm0ju3btX1NhlO8/zCqR2UXNjJehMzYsUqtozOylK0pfW2u2vtOugivFBSvGLGqqxaox64xuyIZQQgJqaGly8eJFXDMvKSG6ri4sLoqKiwDAMxo4di7sBHfCjcAEtWTBl8cVnAlbncNuVeN68SVJAVJbbPddvkfTwAFq1ehAtZSYMw+D69esoKSmBt7fwh82QaVBd1Fz9fyFMico0tiNKVPnJdi5AWbEwpUmyWIE0Zee4PKUdXF2c7eNGoyCm3nDNuVEbEgAxlJSUcIJmMjIycPHiRdy/fx8A4OnpqTGLjho1SvP/iIgIuLm5ac619UQBfvz2lKjrSvm+mcL9+/dx6dIl/HIsA+tOO+k8p87h3nW2yKz3zuKo79UxMRa7ZP0WSYC82ZmZspyKYRgAQGZmJrp37y44TkzQzo+nDXfjkFqCzpjPLj7ES/TNydrRrEo1SZbaHUSNwxWPNhFTxcrU41iWxa7jWbw+QP0iHnV1dbh8+bJGALVF8ZpWN6DQ0FAwDIPBgwdrhJBhGPj7+8PJSVdo+BCy7ui7VuRcQFZUVPCKfHZ2Nqqrq+HRph98RszjHPfEmp246aQbi2GsAIrVUd+ro6KAfyN/lYaK5LBhwN27spwq5t/VTUZGhkGRNGYmramtk70EnTGfnZQSVtaOZhXrf0xS+Yo2H5uye6x3UYUG4Fu4GLrhVldX4+LFi9j1dybWnXM1eFxlZSWys7M5IpCZmQmEdeUVgAVf7kf3qnTN2KysLFRWVgIAGjVqBJVKBYZh0K9fP40QRkdHo3Hjxma9D0LBNfMHx2JiQpjJu2WWZXHlyhVe0++VK1c041q2bAmGYZCYmIgZM2aAYRjUegXjyS0XOOfUF0g1psY6WIRr10h+e6NGVCQtRpo4J7sYGjdujNDQUKPBO4bSOlLiguDq4mzweFNaVhny2UlJ+bCmH1JKDiRgPEpXit+Rr8ZqvYsq/Jfy8nLOzuXM7cZAp3GcsWcuX0flFe6N/eLFi6itrRXc5by++mPcO7cPGRkZyM3NBcuyAAAfHx8wDINOnTph/PjxcG/J4H881s3MClec+Wk3VD7u6NGjB6ZMmaIRw+DgYDg7G/6OmYNQcI0YX6KhBcGdO8QC5ebmhpiYGDAMg8cff1wnOlao+1C/f8qMfm/VmBLrYDEWLJD1ni0GKpIsS6rueHkBfub7CIxFuBozFfaK8kVNbZ3g86aYMY2Zd8WmfFjTD2mKD9LQPKSer77VWK2rq0NBQQHvzqVQq95xcHAwVCoVYtt2AZ8n7qmnn8GdM7/ByckJYWFhYBgGw4YN09zYM++3wOu7L3GOO3HyFNo0dEZKSopmrEqlgo+PD3ds5VHehdN7n32DlE6tzHkbTMaQILIsi+LiYt731tCCQP0+hIWFwcXFRdJ8ZiVF84qkkmZg2WFZwMkJ0PIBWwIqkvfvA+3bA8uWAXPmmH06hmHwyy+/CD5vTLD+yL4hGLBjqu/LUJSs2C+FNf2QcvsgpZxPjaOmdNy7d09w53L3XzeEu7u7ZufyxBNP6OxcmjRpAoAErKTxBKw8/dRMPNrjbURHR6NRo0ac54sF0pz+t3yZaIF7NimaVyStvSO6f/8+cnNzecXw1q1bAABnZ2dERESAYRhRCwJTMWQGds87go92HMILCxciibFM0XCTyM4GEhOBn38G4izXrJ2KpKsr0KEDcPy4LKdjGAbvv/8+ampq4OrqynnekGClxAVha7pwwI4pxQMMpXxIETVr+iGl5EAaM4FKLQqgPq+tiqOYqFBDeX2XL1/W7Fx8fX3BMAw6d+6Mxx57THPDDg0NNbpzERKkcUP7ob2B907oOCkCJyQAlvqblZWVcczPmZmZyM7O1ikrp34/tXfSkZGRcHd3t8g8+czA6Xkl+AfBaNo9GKv3XsTqvRdtN8L1+HHStSnEskFyVCQBoHNnQGR+ozEYhsH9+/dx8eJFTbSrmvS8EoNpHcHehoMGpDrUjZkUjfk+gQd+QGv5IcX0uwTECb5UE6utB+bov55pvcLwSFQDXjEsLS0FQPL61DuXMWPG6OxcWrRoYfJcTBUquQTOnCR7MUgxPzMMg4ceeghPP/205v0NDAwUFR2rNNrWEKHvg81GuB4/DoSGAmZ8Tk2BiiQAxMcDa9cCFRWAgONbLGphzMjI4IikMVPrnxeKDT4vZXUtxqRo7HxiRUWpqjpir2/MDG1KaoetB+bw/X0/+vMSlkxLQ3VhFpo2bYrY2FgwDIORI0dqhFDJnYupQiWXwAmZw6XkYMplfrZ1jN0fbDLC9fhxcq+2MFQkAfLGBwYC+flAa/P6Hfr7+8PT05M3eMeYKGm3UdJHavEAMa2wDJ1v87E80aIi9y5SrKiJ2ek52u5RjdCC65W33sOUpLYICAiwys7FVL+tUv5evhzM+YMZUeZnPz8/MAyDLl26YMKECZqFhhjzs61jbMFubX8uh7o64MQJEt1qYahIAiRwRyvXyBycnJwEI1wNtdVKUvkaNCtKKR5gbissKcIit+9H9O7VSA6kve4eDe16tJPGfzp/C0Ak5/ioGBUCAwMtNFvbRih3839zJuBmFolBcHFxQWRkpKasnLb5ubmFWjFZAzmC+SyKkxPw99+AFXbqVCQB8gcAgHv3SJKqmRhKA1kwJBYdWgBjpjyNOWnz0KljB82qzZCwSVnZmdMKS0rkp9zRrFKuLZfIA7aze9Sfd5cmpfAvPMSbNN6qVwpcenFFUoyfub4g9D0YMX4qRrZ/URM442bhlAJrYyw2wtTuQori5AREK99NiA8qkmpWrQKWLiXRU2aaqRiGwffffw+WZXlNXoM6q1CXcxgtyrKQ0mkYAHKDFELqys6cVljGoli15yR3NKu5nTzsafeov2PkWyAcu+2FRicvok2AFyZPnqzj+7pYWsvbW9DmzGRWQF2z9Hh6BgDu92/w0GFIrsdlBI19z2zSH7loEYkXee45i19aUZEsKSnBrFmzsH37dgDAyJEjsXr1anh5efGOr6mpwUsvvYQdO3YgJycHnp6e6N+/P5YtW4agoCDNuMTEROzfv1/n2NTUVGzatMn0ybZuTUoenT9vtl+SYRiUlZXh2rVrCAjgrsqcnZ2hUqk0u005+0am55UYFDpDvk0xvSGV2nWZG8VqT7tHPj+ZWwP+HeD0RSt5RTyuGaya9mAJjAXcmFqztD7vtsV8z2xyofXZZ0ByslUurahIjh8/HgUFBZrk+unTp2PChAn48ccfecffvXsXJ06cwMsvv4wOHTqgpKQEc+bMwciRI/H333/rjJ02bRqWLFmi+Z0vUVkSPXqQnMm9e2URSYBEuPKJZHpeCTy6jcHhigrNjcAQYld2YoTCkG9TTC6kErsuc6NYpRYHsKbvUchPVnl2Dxq2SZJ0LqXTHqyJ/mdicIgz2tbqtq0ytWapTYqABbB25x6TuXQJuHyZFBKwAoqJ5Pnz5/HLL7/g8OHD6NatGwDgo48+QkJCAjIzM6Hi6Qfm6emJ3bt36zy2evVqdO3aFXl5eQjRSiJt3LgxrwCZjIcH0LUrsG8f8PTTZp0qMjISDRqQfLVEvT+s5oPq3QHwBpLXHkRyxyD+E/2LmC+1WKEQOpe1arKKmbexXZ9YE/H4rsEYEx9s8ZuA9o5IaEHUs1NbHK/iPm6snZIjVgHi+0z8kleHL79eh7CmZBGqbX5WqVSCNUtn3Khz6N22WKzduccs9u4lLrA+faxyecVE8tChQ/D09NQIJAB0794dnp6eOHjwIK9I8lFWVgYnJyeOifarr77Cl19+CX9/fwwZMgSLFi0S/KJUVVWhqurBHai8vJz/YomJwBdfPKgRaCKurq6IjIzkBO8IfVDl6BtpbDcKCN8grLnCFJOqIrTrE1voQI01BFL/vY31ZMHnJxs77CF0Kb5Db+gA9mXydy1e/NF3mDeQ4X1OCEfebUtBzPfMJgUSIBuXjh0BAz16lUQxkSwqKoIfT8FwPz8/FBUJd8HQprKyEgsWLMD48ePRrFkzzeOPPvoowsPDERAQgH/++QcLFy7EqVOnOLtQNUuXLsXixYuNX/D554GXXzY7cAcgq91MvT6VYoRMH7GpH8Z2m0KrRGvXZDU1VUXugudyob1rBMCZ4/ky/s+Wq4uzQ9/QhfyL6pZZ2mbUvyv9gYi+nHM4m/i9dMTdthTE+CHFNjmwCrNnA//WurUGkkXy1VdfNSo4x44dAwDeyE6hiE99ampqMG7cONTV1WHNmjU6z02bNk3z/7Zt2yI6OhqdO3fGiRMn0KlTJ865Fi5ciDSt9irl5eUIDg7mXtSTv7+aKTAMg82bN+s8ZoovROwxhtpvGYpENWaqTIkLslpNVr5UFSkRrMtT2sHVxdligqMv3PEhXqKPVf+dHfGGrv++MGwe3M//otMyCwC8vLyI+bSdD07wnMeY6ZnCxW79kNrw3NMtiWSRfOaZZzBuHLdvnDZhYWE4ffq0TsdvNTdu3IC/v+FK8zU1NRg7dixyc3OxZ88enV0kH506dYKrqyuys7N5RdLd3V18Ka7nnydRrp9/Lm68AAzD4PLly7h7966mkauhYgJ8yNWhQyg61pgfsnOoF1aMlbfavnYPR6mrWym7R6UbP2sjJNxCFZTiQ7x0nrP5m5QZ8H02M5xCEObaXKfQN8Mw8PX11Syg9f/WjvweKYVd+yHV/PILqbSzcKEsFj5TkCySPj4+olq4JCQkoKysDEePHkXXrl0BAEeOHEFZWRl69OgheJxaILOzs7F3715RRZfPnj2LmpoaeSqNNGsGfPABUF1tct+y9LwSXPcIR+O2D+HDX0+ib6dYzRd8wZBYVJz/E2u/P4AXX3wBSbEB+PzQJR2/ZHyIF14a1lr0TcGU6Ni5m9MN+kIB4MWh5kX56mNOJR8pZfIA5Qqu6yPV7AsALw0j76sjmlX1+eU0f8eVh59cYDDC2JFNz5bCrv2Qaj76iFRDe+EFq01BMZ9kbGwsBg8ejGnTpuGDDz4AQFJAhg8frhO0wzAMli5diuTkZNy/fx+PPPIITpw4gZ9++gm1tbUa/2Xz5s3h5uaGixcv4quvvsLQoUPh4+ODc+fOYd68eYiLi0PPnj3Nn/jIkcArrwD79wMDBkg+XPum6TNsDlYeKcHKIwd12s8kdYjAG/OmY2TEK9hytogjVsfzSrHrbJHoG4Mxk6z+82IEUu6VuzmVfGzZ/yhVILXnZm83fiG/Yl1dHfLz83WKgav/fzciEV69HzXpeo5oerYU5pamtAkqK4Fdu4AXX7TqNBTNk/zqq68wa9YsDBw4EAApJvDee+/pjMnMzERZWRkAoKCgQFN4oGPHjjrj9u7di8TERLi5ueH333/HqlWrcPv2bQQHB2PYsGFYtGiRPEWH27cn/cq2b5cskoZumtrtZ9R5lL8cy8C6M/yJzVLa1RjyR+pHxxorSQUoY4IRW01Hf3Urd8NluZDSl3J2UhRCW3jY9Y5If6ES4VwM/5xfNKJ47949AMS1oVKpwDAMevfujcYhbbCWm6pI/YsKY26DA5tg717gzh2ycbEiiopk8+bN8eWXXxoco664DxBfpvbvfAQHB3Oq7ciKkxP5o/z8M/Duu5Ls4GLNnkFBQWjSpAlO5RQCaGl0vCGMiYh+dKw1mieLWdWq0V7dShEiSxYIkLqztYW6sObA9xnLqfNBUeOO6N21GSZOnKjxK4aEhHAWqyz1L1oUu49mVbN9OxARYXZxF3OhtVv5WLgQePVVyY5isWZPdaeQM8X3AQOFgsREtkppeWOtggGm1GQVYxIGLL97NKU2rC0KgpQei1lFZbyP3/Vrixkzpxs9nvoXLYdDRLOqSU0FkpKsFrCjhookH0GGK+AIYSh6Vd/sGdS+B041ChU8l9giAoaEVPvLYK0vj5hVrb7QiRVIpcrk8WFPtWGNwVc7dsGQWBQXF/P2WLxS6Qr/Cf/jPZfYkonUv6g8DhHNqo2VytDpQ0VSiHXrgB9/JGZXCSwYEovCsnv44VShzuNb06/Cr2lDTfDOrYBuQJ3wecQWEYgL8UZyxyAdUekc6oUXhz6IjrXWl0esMGsLnRifqRpLRLDaU2cRMQjVjl2RNgk3Mkh+s7OzM8LDw8EwDB5++GEwDIO9lQ1w8Op9zvnqax1UW+S1n88ZfN5QzrMUy4JF2LSJNFoeP97aM6EiKUiTJsCOHcDVq5J2lul5JRyBVKMOxgGA/DrDhQvE3nyW7TzPEZW/L+tGx1rLDylVmKX6IJX+MkvZPVq6cIGpCJnnVSlzsCbODQzDICoqCg0bNtR5fhq4O3y7Mds5OOqFnFBeLkAEckL3MGw9UcD5jOp/zpM7BqF3tK91P8tvvgkwDBVJm2boUMDFBfj+e+Cpp0QfZsxHuC/zOkJbGBZAOYoIqAU561qFTfoh9aNYxQiSJYVISlStEr01pSBmF1BbW4u8vDwUZfP3Lc2v80Rk1x5oa+B9fSc1DhMTwmxrx1HPEfu9yS2+o9N/dGxbL/RsUoz9/1zG1tu6zbu3nbyqWQz1U/liVlK0Zf/Wly4B6enAf/5juWsagIqkEM2bAwMHAl99JUkka2oN2FD/xdAuUYrZ05ggr96TbdQfmMTIHwouNbpOTKEAS1bQAcQFG9mC31H/Jjk1IRjDg2s5fsWsrCxUVlYCAALGvgr3iM6cc4nxL1Lfou0gZiHH+DdBjH9TzN96Rufxb/4pxarP/oNmLaPg0V/4/rY38wb2Zt7QyfNWnK+/Bho3BoYPt8z1jEBF0hCPPQY8+ihQUAC0aiXqEGMNXdU3Vb4AH6k7kj+yDQuRmLQLuXeRYla22jlaYk2alqqgozZdGXvvbMHvyHeTXH8oH6/NSEN1YRYCAgLAMAx69OiBKVOmaPIXbzk1Q8q6Q5zzUf+i7cJnLRDTMCHj2m1Bd8u6r7aiUZOmWKAnoLxjD+Qg3MdDeUsOy5JOTMnJxOVlA1CRNMSoUUBmpmiBBMRHm6rD4tVtgaTuSIwFuPg3dce1Cp4GhQLzkQOxJspnk6IlBcRYyvclRrCt1ZOSD6Gb5NDnV+PTx7ty2supCQM4izTqX7RdOIUcnIrhl7MTpyoaA+1HGz1eyN3SuElTo4t6bbR3o4qZYVmWlKAT2UrRElCRNETjxkBMDPnDAaLydfh2iUkqXzzL84Eyx3RlzBxoTCCtVVVnZt8I7DpbJEocLWnOFFsbVmmBNORfZFkWN27c0JhQD2ZeBdy6cM9xvQa55SzivISvQ3MX7QPeQg6sD4o84hDlVwPje0Bh1LtCU1CbYZM7BuGdVBmbIDg7AxMmyHc+GaAiaYzcXGDQIGDjRiA+XtQh6hvQiEefwPC+XbFu8nxZpySlgg0f1qiqExvQFG8ktwMAnQACIWwxB1LpUl7683goqA6qe+d1fIslJSUASJpGREQEmgz0xe1mYZxzUf+i/WBoYZRVWMp7zF2/tngspR3H1ygF9fWkdCbSR23NkkUoa2uBWbNIDEibNuafTyaoSBojOBgoLwe+/FK0SALkBqRyK8XNzL9ln5IpzZu1kdu/l55XgjnfnDQ45o3kdogL8cbjG46KOqct5kAqWcqLb8fw+1VnbP1uI6K9XcEwDIYPH64p/xYZGQl3d3ek55XwLjqof9E+0F8YJXhWIOjGMZ1CDgET3+Y99lRBKSdHWogkla/OIpbP9ZNbfAd/ZN8QnaesZtvJq+ge0cL8hffevcCaNcDkyeadR2aoSBqjQQNg3DiS3PrWW+R3kTAMgwMHDsg+JXNugHL7nsQWDACAd3ZnGk1HUY+3pRxIwLw5iUnRUPum9Xl5zSakGdhR8+0EqH/RPuBbGB0qawqXP0+htV8jpKSkgGEY7Lnnir+u1HCO//ooySmO8W2MrBt3DV7r2aRoPJsULfg5VFsVUjq1wsSEMFGR8drM33oGucV3zIuA/fJLIDoa6MyNvLYmVCTF8NhjwKpVwO+/E9OrSBiGwccff4za2lp5OpT8i6GuH4aQ2w8ptmCAfo6WEJbyQVqyswhfCbhnegfrtJPKyMjAqdqWgIrbdUZM1UrqX7RPhBZGz7z2vo6rYSqASZ8cwf7sYt7xxgRSanu2uBBvfDK5q87iTkwcgZTORRzu3gW2bCFN761cq1UfKpJiiI8nlei//16ySFZXV+PSpUuIjIw0foAITOlhCCjjhzQWqBMf4gUAoiNYLeWDlFJw3Zw5CZWAWzR1FKoLswAAQUFBYBgGndtEg28ZIbalFPUv2i61tbW4fPkyJ3f1QqMYuHVKNnr8sp3nBQXSEOYu8LQ/U3Eh3gj38TDqA1VXzJJ8zU2bSFssGwvaAahIisPJCfjlF6ClcFsrPtR9IzMyMmQTSVP9kXL7+MQUDAhp3lhUYIEliy6LmTcgbU5C5lShv9UzC5dgXPcIqFQqNGvWTPO4/q6Tmk3ti9u3byMrK4u3kENVFYk2b9y4sSZftX0Mg594gtC1F0amLoqVWHSmdglBbvEdg/P5+mg+vj6aLz3qdcgQkh8ZHi7DTOWFiqRYgoPJv+XlgNaNzRAtW7aEh4cHMjIyMGzYMFmmIaaijz5iO4qIRYw/Lz7ES1QAgCVLuon1Q0qZk/45n+wTgcfjvJGRkYHdx/IAtOAc07V7ArrwnJ+aTW0flmVx9epV3m4pBQUFmnFqC0Hv3r0xbdo0TcBVy5Yt4ez8IDexFc/CCICmxqqURbElmnurP6PGfJaSo14DA0nhFhuEiqQU3n0XWL6c1BZ0dTU63NnZGSqVChkZGbJcXmqwiRqxHUXEIHZla7h1tmWT8sVGsUo1T/G9Fx8cyMGrU0nFm6btHkLzYXM5xxlK4LYXs6kcXSPEnEPsdeTuYlFVVYULFy7wiuHt27cBAK6uroiOjgbDMDqNp/UtBIbQXxjtOluk47/v4Cv+Fm2pnGK1z/Kd3ZlYteeC4LhtJ69iYkKY8Tk99xwQEkLSP2wQKpJS6NcPmD2b+CbHjBF1CMMwsoikqWYXQN50ADH+vPgQL4MdCQDlk/LVSMmBFDJPSTWnPrf4TUzorUKFWwuM+Yib8mKv6Rnq90E/TcCUup58nSf0dx1CfS+NnUvKfG7evMkrhDk5OairI1Ybb29vxMbGon379hg7dqxGDMPDw9FAQrS7EOqFEd93/NQNbnsywHBKh6VIVPkZFElAhI/y5k3gvfeAxYvlnp5sUJGUQrt2QO/eJJdHgkj++uuvZl/aVF+knF8esUUMjAmk3OZfIaQsLIRyIPVvwNN7hWFMjBsyMjLw48kiANw2au07xoFhiDnVUdIzDC02DEU1siyLa9eu6QhQel4JLqvG6ozbdvIqWADP9fRFRkYG9p7OxVc3dN9b7evU1dUhLy8PO4+ex7r0OsFxAHD//n1cunRJZw7q6OLiYhIQo99DU+03ZBgGPj4+cLJAxKWU77ixlA5LIKYQgdpHKbhw+fRTUtFsyhQFZ2oeVCSl8tRTwP/9H3DuHIl4NYJKpUJxcTFu3ryJFi24/imxmLL7kDsgRmxUqCFS4oKwYqyMZawMIHa+QpV0+ET2wz8vYfE0Yk5tHj8ETQc8zTlO25zqCH5GMYuNVb9lYn6CJ2dHlpmZibKyMgCAi4sLoqKi4NeVv7vD9yevYu3ccaguzIJnhwHwGjKbM+a5JW/i5t87kZWVhXv37sGjTT/4jJjHGffWus9QnfUnMjIykJ2djerqagCAh4eHRvwGDRqk+T9fD00lYVkWV65c0XmvjhS7AOEDOWP7RvvoRLdKTelQkgVDYkVFvfIupOrqgLVrgbFjAV/5XEJyQ0VSKikpQEQEcPq0KJFUR7hmZmaiR48eJl82LsRbdHUNQN6AGLGdMYxhi1GsgO4uUtu0KrSyf+nN1ZjSrw2u1TZGiohqN/biZxRCzA5nX/ZNbHxpEhE4T0/ExsYiNjYWycnJGiGKiIiAm5ubYJUgAJj/2tuY2IfB0ZsN8ML3ZznPl5ZVoHv37pg8eTIYhsFF1g9vHeA2OT/w10EwrqVITEzEjBkzdAJnLLErVFNZWcnr28zMzNT4Nt3c3BAdHQ3fLsPA94l9uGNLzOkfY7MLLTFRrwDJC9WZ+59/Ajk5pIiADUNFUipubkBWFmnILILo6Gg4OTkhIyPDLJEEgN7RvkZFUu6EfFODhfSxxShWQHdVrn9cEEoBeHGOiVGRm21LOI45VRt1g2b1Df23nDtAE+O7/0X/ex9TH2oHPz8/g0JkaMGX3L8nokK8cbq8gOdI4MWFC5DS6UFXnq0nCgBwRfLdd1bojFMSlmVRXFzMMeVmZGQgNzdX49ts0aIFGIZBx44dMW7cOI1wh4WFoUGDBgZLDNr6QmvBkFi4N3A26KNctecCqu7XPTC79u4NnDgBdOxomUmaCBVJU3BxASoqgLNnge7dDQ5t1KgRwsLCZAneMWZylTs3SmxnDENYurWUWD+k9mJCKPr1Ko9AAo5jThWT19eoUSOE90sF2hsXySG94uHvL+71q4N0tIVSe4Eh9FnXf1zsODm4f/8+cnNzeQN9bt26BeBB4XmGYXR20SqVCj4+PgbPb+8lBsUE8mjMri3cSJelOMu4XsyBiqSpLFpEkl8vXyZ/bAPIFeHK9yVKiQtCryhf2W/Qcu0gLd17UWy7LvViwpTXaYvmVKEIXJZlUVhYyHtjz8/P14wLDAwEwzDo1asXnnjiCc3NvVWrVjhVUGa0rKApN/N3UuMwMSGMd95iBUMJYSkvL+eUDVT7NmtqSA3VJk2aaN6joUOH6vg23d3dTb62PS+6xHYUyS2+g7h500kd7I0bLTQ703FiWdZYSpvDUV5eDk9PT5SVlYnOZ+Jw6RIQFQWsWGE0vyctLQ0//fQTsrKyTLuWHnLnhOmfe1/mdaMrQjFYMkgHgEFfl5qnEyMR6dtEI3TGxuuns8zsG4H5g80o4qwA+kIf1eAWgi7v1tzcKyoqAAANGjTQ5PVp/6hUKnh6ekq6xsy+ERjYWvmbufrzCBjOA5T6nairq0NBQQHv4qGw8IH5tlWrVpz3i2EYBAUFWdS3aU8YzZ8c1gpxfeJI0M6TT5p8HVnu4yKgImnOmzthArB/P3DhAvFVCvDhhx/iqaeewp07d8xaZSqNXLtHwPICCQBTNhw1GKwT4t0IeSX3NL+LyefcNpP4kW11ZS+0MGhYdBo9nLJ1buzh4eFwFVEEw9C1LCGK2tcwJwcSAO7du4fs7GzewJm7d0lhcHd3d8TExOikfTAMg5iYGDRt2lT21+joGFqszuwbgfnf/g/YsYP06jUjothSIknNreawYAGJzPr6a4M90BiGQW1tLS5evIjWIiJirYE5xQr0sWQUKyA++lZbIAHj+ZzWDrUXI0oXrpXzPl4Z0B7Pzpwh67yVNivrC+LQ1i2w49xNnTF8qQQsy+L69eu8gTOXLl2Ceh/g6+tLisl37ozHHntMI4ahoaGydump7/CZXe9dOIoflz2Nru7VwMgvgNdfN0sgLQkVSXNo0wZ4+WWjRXm1C53bqkjKkQMJWDaKFZB396vGUi27DKH/uiZ3a4khgVWcHdHl207we+wt3nPkFt+xuZ2vEHyLNH2BVLPl1z/w683zOu9DaWkpABI4ExkZCYZh8Mgjj+iYlM3JU6ZIQ9u3WlaQjSnLlqDJ4lQg5woQFgbMmGHtKYqGiqS5LFlidIivry+8vb1lq+EqN2JzClPjW2Hzcf7QfEtHsQLyRN/qY8mWXULwCcaGI1ew9DNSxCAkJAQMw2DgwIGksXe1Mw4VcQvfW7L8nbmmWCnVZla+uxrOl45oBHDEiBGa/0dGRtq0S6M+obY8XG9FXFEZGRlonZICZGQAzsL1i20NKpJy8PffwPr1wPvv8/7xnZycZItwlRspnTEGtg4QFElLC6ScO0hLdE8whL7ACAnGsvc/wfSBHeHhoSt+MwHM3ZwumE6hNKb4Devq6pCfn6/ZCe6+eBvw6CjqeqtWvoMp/drQwBkbR/25DvPxgI+qM47+ehLhER0Q11GetoGWgoqkHFRVAevWAX36kJJ1PDAMg3/++cfCEzOMGD+k2vTYLqgpdhw5xzvGUrVY1cjpPwUs1z2BD32B6dKkFFU38oBG7Tljg1oFcwRSjaF0CrmpqqrSBMMcOJuH7ZW6O29tv+Hdu3eRlZXFSanIzMzEvXvER+zu7k5yMUUmlXeKsmzVHIp09D/XHsmvYhOATZszMKOwWnJBfGtCRVIOevYERowAXnoJGD2aN9KVYRh89913YFnWZr7gxkxcQbiFP9e9gI//zRFzi+nFWydTzlZcYpDLfwpYL1lbqIDBsdtecM07BvBYfA212ALkD6zRriKj/aNdRcav23A06sed7FPzX0XhoR9w+fJlzWN+fn5gGAZdu3bVaS0VEhKC01fKeSMi9Svz2FNyfX3FmBvEUEF8W4SKpFy8/jrQoQPw8cekCLoeDMOgoqIChYWFCArido6wBsZ8Vvk7P4SHb0MkJSXhqaeegltgDF4/Vi35PHIipSarEMtT2sHVxdlq5lVjpuKU8Y/zmrWVqiKj3yFD/XPzJgmc0e6QMWrUKJ00id9z7/IWt27g5q5Tek2lUsHbW/i9FioKMH9wrMV2yBTzEesGsaegMiqSctGuHcmbXL2aRG7p+Sa1I1xtRSTjQrzRT+WLvTyi0yfSG5+f/IPz+M1G3KRya/m+TMHS0bf6iDEVB3g2lFxFxljgTEVFhWAVGXWHDO0qMkOGDNHkDRrqkOGax++jnjt7luTaqULVZmyhohHFOFLcIPbUU5WKpJy8+SYxtfIE74SHh6NRq1hsOZ6PG03zrLqT0WZWUjSvSM4dyO8zsFbZLHP9kNZI6+ATLjFRnOp5in2f9RcP3f2d0NPloo4YXr36wGSpriLTr18/zJw506wqMnLXTqWCaL+IdYPYm8lc0Yo7JSUlmDVrFrZv3w4AGDlyJFavXg0vLy/BYyZPnozPPvtM57Fu3brh8OHDmt+rqqrw3HPPYePGjbh37x4eeughrFmzBq1aiVu5Kl6p4eZNUgRd63UK7YJM6eouN3wlx2yt9JqxajqGsMbr0X9P49yL0Tz/AI6XuKFUxd9PEZA+V6HqJnfP7oV/7i5OOTUlqsjYw+eHohxiS1nKvVB1iIo748ePR0FBAX755RcAwPTp0zFhwgT8+OOPBo8bPHgwPv30U83vbnqBMHPmzMGPP/6ITZs2oUWLFpg3bx6GDx+O48ePW79yRk0NidIbOxZ4+20AhndBtuDEtvWiyul5JSYJpKV3j+qdY01tHefvnV7lA+/Lt+AX2RalPMfy5ZmKyT0U2pk2btMPn7/3okVeu61/fijKIdYFkqTytXr+sakoJpLnz5/HL7/8gsOHD6Nbt24AgI8++ggJCQnIzMyESiX8hrm7uyMgIID3ubKyMqxfvx5ffPEF+vfvDwD48ssvERwcjN9++w2DBg2S/8VIwdUVmDaNBPLMnAlERRk1sdmCE9uWzVyv/cyfemIISxcFEHOzmDh/GRJVfrw7P32B5Ms9THsoktPA98zVCqDLE7zXs+TnypY/PxRlkOIC0W5sbm8oVvbg0KFD8PT01AgkAHTv3h2enp44eNBw54V9+/bBz88PMTExmDZtGq5fv6557vjx46ipqcHAgQM1jwUFBaFt27aC562qqkJ5ebnOj6I89xwQEADMng2wrFH/jD05sS1Jel4J3tmdabTGqjbjuwZj28weipv70vNKsPVEAdLzSiTdLNRRnNro+2j4zrfuQA68IjuiTZs2GD16NN566y1cuHABcSHeiHEt4b0W/VxRlMRRfZD6KLaTLCoqgp+fH+dxPz8/FBUVCR43ZMgQjBkzBqGhocjNzcXLL7+MpKQkHD9+HO7u7igqKoKbmxsnnNzf31/wvEuXLsXixYvNe0FSaNwYWLkSSEkBfvwRcSNHCvZZs/cPkFKYGslqico/+nNLUonLE01Uke+DvnkSALaeKDBacWfqnIUY0yUUDMPA19dXJ8jGmhV3KPUHbZeCGBeIpZsdKIFkkXz11VeNCs6xY8cAgDdSzlgyfWpqqub/bdu2RefOnREaGoqff/4ZKSkpgscZOu/ChQuRlpam+b28vBzBwcEGX4PZjBoFzJ8PhIYC0L0x/vHXQXz0wTr88u3n6BUrLUy+PmBqTVZLCAPfLk/MzUJ/bmrzpL7gjoxqCKc7xQCacM7Rq09f9BG44Viy4g6lfiJ14TqzS4DdCyRggkg+88wzGDdunMExYWFhOH36NK5du8Z57saNG/D39xd9vcDAQISGhiI7m2ztAwICUF1djZKSEp3d5PXr19GjRw/ec7i7u1u+6LGTE7BsGfk/ywJOTpobY0hdBFbO2gv324UAqEhqY8oO0lIBOul5Jfj2eL7o8Xw1YbWDcQBwXuv2C5Uo/eMHePV+lHM+S1fcsTdMKbIu5hhL9NG0daS4FGyhi46cSBZJHx8f+Pj4GB2XkJCAsrIyHD16FF27dgUAHDlyBGVlZYJixsfNmzeRn5+PwMBAAEB8fDxcXV2xe/dujB07FgBQWFiIf/75B2+++abUl6M8Fy4A48cDGzcCkaSwr0qlgltgDDYdzkEO/G0mZ9LamJILmcRYJmrOFPHWv1Hon6OfgJn2hRdewJo/LnMer28+RiniZEqRdTHHGBtTHwRUyuIwCTcxt3VHoKXjvBeK+SRjY2MxePBgTJs2DR988AEAkgIyfPhwnchWhmGwdOlSJCcn4/bt23j11VcxevRoBAYG4tKlS3jhhRfg4+OD5ORkAICnpyemTp2KefPmoUWLFmjevDmee+45tGvXThPtalMEBgJFRcCcOcC/qS/v/1mAwEkrsOUqsEWrpJct5ExaEyntktQ820/ZqDmhGqv66FcuEhOMw1fEAQBCfZtJrrhjC8gpGFJETyjQiS+1St2g+efDZ7Hu8D2Dx5wwcl5TBdSehFXq4vDZz14HRkYDLVsqOCvLomie5FdffYVZs2ZpIlFHjhyJ9957T2dMZmYmysrKAAAuLi44c+YMPv/8c5SWliIwMBD9+vXD5s2bdRKg33nnHTRo0ABjx47VFBPYsGGD9XMk+fDwAFasAMaMAX76Cente9p0zqQ1kbpTUlo4pNwgZiVFY1ZStODNT8oCwNXF2e5yD03ZyQGkZVZeXp6mM0hGRgZOFpSisO1jOuPWHcjBgFg/eNWWckrrXbjfHO6J0znnPvjPBeSlX+WMLy0thUebfrzF+ld9shG1Fw8hIyMDOawvmg54mjNm/4nz+O23K1iX3ZgzR2MCai87U7GLQ21mpv+IuME9gYQEBWdmeRStuGOrWKpSgwaWBQYPBs6fx9aNvyPtpyzBobOTouw26VYO9KM0+VDa5yG2gogada9Nvpsby7IoKirCh7+dwafnakSdb9vMHjYvigBQWVmJCxcuYNfxTKzO4NZ21X4d6pZZ+oKVlZWlaZnVsGFDxMTEwKP7WFxt3pFzvoqDm3DrwJcAgMaNG2uqCDlF9sCfNWGc8cU/r8SdM7+hWbNmnMpDl12CsPJQMeeYe/s+QpTzDTAMg7qw7th7l1tnufjnlUBdLa/Idqw8jZu555Afy43bWJbcFgu2cdvlqd8nUwRUCVGVunucnRSFxK/eQ9z2r0hDZZ6sBiWw1H2ciqQlRBIALl8G+vdH+nufIXkff16bmvpsdt16ogBp354SfF7pkmdSbhBqsd51tkjnmA5u1+F1aZ9GCMrLywV3LkkqX53oWEuXdBNzkzXWMkvotXWq/gd3z+5FRkaGTsssf39/jmipW2Y5Ozvjnd2ZvAuUhCa3MKVrABiGQcuWLeH8b41koc/MtLZumJLUFgEBAZzId6Fj3h7TAaP/LcwuNOapOA/4+PljyS7u58Qt/Ru0CI5CoU8nznNVF47APaob5/FOAW7o2vgm1uVwywUKCWhyxyD4N2so+65UqMyhEDP7RmB+ZAOgTRvgk0+Axx4zfpBMOERZOooWoaFARgbiXFwwo87wjbg+m10NmVyVzLmSal5KUvlq8h71jzlV7YfmhRVoHxuL5ORk0gGmRRjm7LjCOc+zSdF41oCZVkn0b7yp7bzRu9ktgy2zIiIioFKpdFpmZdY0x39/zeWc//SZf9C2cUNJLbMAEvDEJ5L/mTCc9/0R+swM7d0ZgYH81xI6JkLrcaExA7p3EDSfL3vjdVy+eYd3/p3aqHC2invMiaJq7PljO29E8/RV29AgazfH/MxnbZHiLxVCrFuAY83JyADCw0Uda29QkbQkLi7A9etY8MMquA9/Cqv+Eo4Ys4VSddaAr68goGyLKym7x/gQLxzPK8WezBvYk3kDnYI9ecdNeH4px2yecdtdMBjH0n9rvmCXzWdKsPKzeXCruKrTMkv9/6ioKN5Uqusn+NtlvblsqeR2WYBwb0mh90jqeLHHmHLecB+S8sMnkq9NGYrVe7J582oXLFiAdTz3gxtu/mjZsp3g9fRZsescBrVise5Amc7jfAvvmzdvchZE567fA5LmGryGTsnHb74hOeEREQaPsWeoSFqae/eAr79GolMzrPLqKzisvoX7a6MOWtmXScoRKul/lFK4ICUuCFvTdVfwJ/LLBEZzsaVgHKEdQ8orH+HrJ3tLapkld7ssQPp7Zcp7K+YYQz0uDQmo0HPPJkXziuSg9sHIKq7kfe6R0aNF+8f/yCnFj599xbsrnfPxLsQU/q4RxOJi4pNVN9VWqVQY1asDMj3u4p87jTnHc3aP27YBqanA1q3Av9kHjgj1SVrKJ6nNhx8CTz6JZe//jHX53Le/c6gXXhzaul7uJC2J2B3kwFg/zEwkheoN+Uu1sbXgmzt37iAzM1MTQfp3bjHOthzKO9aUudfXdlmG/H5Czwm9V0L+wG0ze+DzQ5eMBrSpSW3TFJvPVvA+53nkQ7QLaqrjC+Zrqs1X5lDn73nzJvFDdusGfP89KZ5iYWjgjoJYXSRZFhg4EMjMRPqug8i9B3y69wzOFNfpDKvPATxKIjV6FQD6+FTCo+QCdta2NTpWaYEQuvmyLIvCwkLeIJv8/AemvMDAQDAMg4pOj+GGK7f61YoxHUwyk9pK+oI9IFVAAa5w8Vk2ACKqQmZdKX9bg3/P8eOBX34Bzp4lueBWgAbuODJOTsDHHwNxcYjLPQ20TeAIJFC/A3iUwtTC6QeKG6Lm5+1o1qMR7nlHcp7nK0GnBPrz7+B6HZ6X9mrEsKKC7CAaNGiA6OhoMAyDxx57TCdwxtOT+FGFdi6mmknre1k8KQi9V4ZMwHz1ef2aNpRk1pXytxX8ex49SiqIffml1QTSklCRtBahocDFi4C3N3IFAh8AaMpB0ZuPeZiSHK3Pc29/ItgPUm6/qVBOHCeStsYPPtfuon3btnjkkUc0YhgeHg5XV1eD1zAlMIWiPIYWG/rPmeozNYuuXYG9e4G+wjEVjgQ1t1rD3KrN/ftIX7wCyffbGByW3DEI76TGWWhSjoWpu0d91IUelPa/CYXv/2/Xeby3j/s6zC1AQc2kjousf9vqauDXX4Hhw+WZnJlQn6SC2JRI3r4NxMdjWcdRWBfRx+BQKpTSkZocbQjtgBalhEVovu7738X1Bn7w7Mmt5FLfqzRRLMRzzwHvvgtkZtpETiT1SdYXmjQBNm/Ggu7d4f5UIFa5Cxfs3nbyKrpHtHCIHm2WQGprK0MI9YM0F32xFUrNaNO9H8aG+OILbvc5TVEDCkUxfv4ZePtt8mMDAmlJqEjaAh07AitWIPG1VVg1aYXBofO3nkFu8R0a9WoEuUys47sGY0x8sCJmSP05TuneCu7V5bxjU/9vPFK7hMCDx9RLTaQURSkoACZNImbWuYYLDTgiVCRthZkzEbdnD2bcy8a6RobbP9GoV8OY0pdSCKUEkm+OnxwuQOkf/Ing6obLtlSQgFJPWLoUaNgQ+PRTq+RDWhsqkraCkxPw5ZdY4O6O8L/zMV+rzyQfNOqVn/S8Esz55qQs55JjlybkuxQyq06bNg3fZtzlPK4duk9TLSgWZcUKYPZswMfH2jOxClQkbYl/q16kXk1Hbk0+1rkK2/6/PpqPr4/m02AeLeQwsS5PaQdXF2dFGgc/1skP/X3vICMjA79klQHu3MIEnVtHooXfHWpSpVifn34izZPj4oCYGGvPxmpQkbRFSkux4O1nMeh/H+DdFh0FO9gDD7oB1HehlMPEKmcRdb75fHniOt76LA211y8ivF8q0JkrkvbYcJnigJw6ReqyjhkDbNhg7dlYFSqStsikScDp04ib/xQ+3bUL77SMMlhCjUa9im/xo4+5O0ep5tS3P/oS0wd0wNmiOwar3VCTKsVq3LgBPPwwoFIBa9ZYezZWh4qkrbJ8OamLOGYMEn8+gFVGhs/fegbf/J2Pl4bVz8LoNbXcsn7GMHfnqG9OHdvWS9OP8ffce4BnPOcYXz9/uLm5IS7EjVa7odge1dXAI4+QbkXffw805nYDqW9QkbRVGjQANm0CJk9GnF8j3h6L+hzPK0Xy2oNIUvni2aToenXDVUd/ioHT8scE+Myp3/xTilWfPQe3iqsISxzLK5La86RmVYrNkZNDymVu3QqE1F/LlDZUJG0ZLy+ymgOwwP82BrX2x7t7Lxj0UQLQNASe0Sei3tyEhQo39432wf7sYs3vOg1jDWCsoo6QOXXNF99hSlJbnMwvFVU8nJpVKTYFwwAXLmiCCClUJO2D6mqgRw/EDRuGT5cuxeZjeUZTRACST8lXA9QRESrorO7TJ2WhwFc79ZnewZpejBkZGfjjyn3Avxfn2CbNPOHk5ESLh1Psiz17gHfeAb7+Gmja1NqzsSmoSNoDbm7A5MnAvHlAq1ZIffpp5BbfkRzNue5ADsJ9PBw2wMdQRwSx4sRnRl13IAeLpo5CdWEWANKPsWWvZIDbipGaUyn2x8mTQHIy0L070KiRtWdjc9AC59YucC4WliUiuXIlsHkzMGYM0vNK8NrP53A8r1TSqeqjz1II/V3m1hMFSPv2FGdcSlAFxnWL0PRjNNRFnr6vFLshNxfo0YPkQ+7da1e7SNoFREHsUiQBoK4OmDCBONVzcjQNT8WaX/VJ7hiE3tG+9XaXo29WHRruCrb8GnbebM4ZuzylHWcHrnTLLApFUSoqgPh4sgD/6y/Az74K5VORVBC7FUmA+Cf//BNIStJ52NxqM47sr+RDaCdY/tdGNOv5f5zHV4zpgJROrXjPQ82pFLuEZUnrqxEjgIgIa89GMpa6j4uPm6fYBm5uRCBZFvjf/8iOEsT/tW1mD/RT+Zp02nUHcrD5WB62nihAel6JnDO2Oul5JZzXJRSd+sKLL/A+LhQ9GxfijZROrahAUuyH6mpg925SL3r2bLsUSEtCd5L2tpNUU14OdO5MTLB//QX4P4giUe9u/si+oSlbJxVHMcXq77Bj3EoRcmUv/i5xQ2nMMM745SntOEFR1IxKcRjq6oDHHgO2bSOpHi1bWntGJkPNrQriECIJPHC6BwaSEG4vL84QU/2V2iR3DMLEhDC7MysKmVTdrp5EmPs9ZLVI4DynNqtSMyrF4WBZsnN87z3gm29IZR07xlL3cZoCYs+EhwO7dgH9+gGDBgG//gp4euoMSe0SYlK6iDbbTl7V2ZHaUpECQ2KWc+M27zHVQR0xNaUd7+KB1k6lOCQsCzz3HLB6NbBund0LpCWhO0l73kmqOXECePNN0hRVIM8pPa8E7+7JNlqtxxQsZZrVF0R9U2of3yqEl53SJPznlLNoMW4p77lWjOmArGsV1KxKqR/cvg306gU88QTwzDPWno0sUHOrgjicSGpz/jzQqpVgvpO20Ow6W2R2eyl91FGycpsrl+48jw+05prcMYjX31r90+tQ+biDYRgwDIODdVE4cp17PnU+IzWrUhwalgXKyogrpqoKcHe39oxkg4qkgjisSNbUkNqLgYHAjh2AiNcmR5CPPvoCJiW9pLq6GhcuXNApAXfmagVudZ4q6vjZSVGc2qxzN6frzIfuGCn1ApYFFi4EvvuO9If04I/QtleoSCqIw4okABw9CgwcCMTGAr/8wvFRGkJ7V/X5oUuyiSbArURz69YtjQhq/+Tk5KC2thYA4OXlhdjYWLjFJ+NSk9airsMnkgDNZ6TUM1gWeP554O23gRUrgLlzrT0j2aEiqSAOLZIAcPw4MGAAEBVFAnu8TROF9LwS7Mu8brDhs1hCXW9DVfS7Rgxv3CC+UScnJ4SFhWnMo9o/vr6+cHJywju7M0XPgZaFo9R7WJaI4qpVpFjAs89ae0aKQKNbKaYTHw/8/jspWnzpkskiqY7wrLpfZ7bv8nJNE5RcuIa2rVqhf//+GiGMjo5GIyNFlRNVfrwiqW/WpV02KBQAp08Da9aQn5kzrT0bu0fRnWRJSQlmzZqF7du3AwBGjhyJ1atXw4snn08zIScn3sfffPNNPP/88wCAxMRE7N+/X+f51NRUbNq0SdS8HH4nqaa6mlToqaoCrlwxq7KGlICf+BAv3qLrQqXdxCBUJ5WaUSmUf7l3jwTmODsDly8DoaHWnpGiOIS5dciQISgoKMCHH34IAJg+fTrCwsLw448/Ch5TVFSk8/vOnTsxdepUXLhwARH/3uQTExMRExODJUuWaMY1atQIniL9b/VGJNUsWAB8/DHw889At26ynFIo4Gdm3wgMbB2gSIcMKogUigA3bwLDh5Oc6TfesPZsLILdi+T58+fRunVrHD58GN3+vTEfPnwYCQkJyMjIgEplvDs8AIwaNQoVFRX4/fffNY8lJiaiY8eOWLlypUlzq3cieesWMHIkkJ4ObNkCDB4s6+n5xIt2yKBQLER+PikmcuMGWQh37WrtGVkEu/dJHjp0CJ6enhqBBIDu3bvD09MTBw8eFCWS165dw88//4zPPvuM89xXX32FL7/8Ev7+/hgyZAgWLVqEpgK5gVVVVaiqqtL8Xl5ebsIrsmOaNyfVeMaNIxX/P/mEtNySCb7qNLThMIViAc6eJQLZoAGp4RwTY+0ZORyKiWRRURH8ePqT+fn5cUyqQnz22Wdo2rQpUlJSdB5/9NFHER4ejoCAAPzzzz9YuHAhTp06hd27d/OeZ+nSpVi8eLH0F+FING5M+lA++STpRC6jSApBS7tRKAqzahXQogWwcycQFGTt2TgkkkXy1VdfNSo4x44dA8AfhMOyrGBwjj6ffPIJHn30UTRs2FDn8WnTpmn+37ZtW0RHR6Nz5844ceIEOnXqxDnPwoULkZaWpvm9vLwcwcHBoubgUDRoQHyTagv7gQNA9+4kuIdCodgPV68SUVy9GqislJQPTZGGZJF85plnMG7cOINjwsLCcPr0aVy7do3z3I0bN+Cv1dZJiD/++AOZmZnYvHmz0bGdOnWCq6srsrOzeUXS3d0d7g5UjsksnJzIT3ExMHQoSRf57jvA17Q+lBQKxYLU1gIvvEDSO86eBUJCHKrUnC0iWSR9fHzg4+NjdFxCQgLKyspw9OhRdP3XkXzkyBGUlZWhR48eRo9fv3494uPj0aFDB6Njz549i5qaGgQGBhp/ARSCjw8pNJCSAnTpAvzwAyDivaZQKFairAwYP55U0nrrLaA+WsOsgLNSJ46NjcXgwYMxbdo0HD58GIcPH8a0adMwfPhwnaAdhmGwbds2nWPLy8vx7bff4oknnuCc9+LFi1iyZAn+/vtvXLp0CTt27MCYMWMQFxeHnj17KvVyHJOePYFjx0ixgR49SAECCoVie2RnE9fIX3+RusxpacQiRFEcxUQSIBGo7dq1w8CBAzFw4EC0b98eX3zxhc6YzMxMlJWV6Ty2adMmsCyL//u//+Oc083NDb///jsGDRoElUqFWbNmYeDAgfjtt9/g4uKi5MtxTEJCgD//BKZMAdq1s/ZsKBQKH87OZDF79CiJZqVYDFq7tT7kSUqhqAhYsgRYvlyw3RaFQrEALEt6xD7yCOnow7J096iFpe7jiu4kKXbI+fPAF18AnTuTVBEKhWJ5SkqA0aOBqVOB778nj1GBtApUJCm69OtHuog0bkx8IO+//yBlhEKhKM+hQ0DHjsDevcC2bcDEidaeUb2GiiSFS0wM+aJOm0YCBLKzrT0jCqV+kJ8PJCYCLVsSS86oUVaeEIWKJIWfhg1JonJGBhHN6mpqfqVQlOLWLaCujqR1bN8O7N/v8F087AUqkhTDhIeTf9etI/mU//sf+TJTKBR52LcPaNuWNEgGSPSqq6tVp0R5ABVJijhmziSm1+efJ1/iy5etPSMKxb6prATmzwceeghgGGDsWGvPiMIDFUmKOFxdSVrIrl3EBNuuHRVKCsVUrl0D4uKAlSuB118Hdu+mBcptFMW6gFAclIEDgX/+ATZteuAzuXGD1n6lUMRw/z5pNODnBwwZQlI82rSx9qwoBqA7SYp0PD1Jyy2AtN+KjAQ+/JCmilAohjh8mFhgdu8mOY8rVlCBtAOoSFLM46GHgNRUIpoDB1ITLIWiT2Ul8J//kFrJTZuS9A6K3UBFkmIenp7ARx+RzgQZGSRK799+ohRKvScjg3TXWbWK+B4PHgRat7b2rCgSoD5JijwMGkR8lStXPmi5lZv7IIWEQqlP3L1LqlYFBwOdOpHKOVQc7RK6k6TIh6cnsGgR4OYGXLhAihD83/8BV65Ye2YUimWoqiI7xpAQ4NIlwMMD2LiRCqQdQ0WSogyRkcD69cCePSQH7H//A2pqrD0rCkU5du4k7oZXXwUefxxo0cLaM6LIABVJijI4OZHCzJmZpFfl/PnACy9Ye1YUijIsXQoMHUrMq6dOAW+9RVvNOQi0nyTtJ2kZTp8GfHxIwvTOnYC/P/HVUCj2yrVrpCB5587EvXD8OKmaQ1taWQTaT5LiWLRv/6CiyIoVQHw8MG4c7TBCsT/Ky4nvPTISmDGD5AdHRZFUKCqQDgcVSYrl2bmT+Cv/+guIjSU3mtu3rT0rCsUw1dUkejsyEnjzTeCpp4Bff6XC6OBQkaRYngYNiJ8yK4vUg83IABo1Is/du2fduVEo+mh7pNauJT0es7OJUDZvbrVpUSwDFUmK9WjUCJg3j3Rgd3EBTpwgJtkXXgCuX7f27Cj1nepq4JNPSMRqZiZJbTp1ihTPaNXK2rOjWAgqkhTrozZXtWwJPPEEafYcGgo88wzJNaNQLMmdOw/MqlOnAirVg91kw4ZWnRrF8lCRpNgO/v4kdP7yZbKb3LSJlPMCaPF0iuV44QXSN/Whh4Bz50gRf4ax9qwoVoKmgNAUENvlzh1i8vL2JsUI/vwTWLAA6N7d2jOjOBIFBcA775COHFOmkApR9+8/aAVHsUloCgiF4uFBBBIgN6yMDCAhgeSlffIJqY9JoZgCywK//w6MHg2EhZFoa3WEdcuWVCApGqhIUuyDMWOAs2eBn34iZtknniApJADZbVIoYlAbzn79FejfnwTkvPsukJcHzJpl3blRbBJqbqXmVvskN5es9p2die+oQQOStzZsGPk/haLNyZPAmjVAaSnwzTdAbS1w6BDp8UjzHO0Sam6lUAwRHk4EkmWBSZOAsjKSvxYRAbz4IlBSYu0ZUqzN7dtEGLt3B+LigB07SBs3liUpR716UYGkGIWKJMW+URdSP3wY+PtvYPBg4PPPSU4bQG6MhYXWnSPFcty796Dp9/37pLB+ixYkQvXSJbKAosJIkQA1t1Jzq+NRV0d2mdXVQEAA2WU+9BDw2GNAcjLtzuBo1NaSghRffQVs2UJE8Pp1wN2d7CabNLH2DCkKQM2tFIqpOP/7sXZzAy5eBD74gAjmpElAYCARTYA0yKXYJ+q1/Z07pMHxgAEkkGvePNKNw92dPE8FkmImNMKB4th4e5NI2CeeIBGMf/wBeHqS3WZUFKmqMnIkMGIEEB1t7dlSDHHrFjGfb98OnD9P2q95eACzZwOJiUCXLtSUSpEdam6l5tb6SXU1sGEDueH+9hvZVTIMKVjQogXZqdAbrm1w6xaQkkL+NrW1RAxHjiRVcdQ7Rkq9w1L3cbqTpNRP3NyA6dPJz507wO7dxFyn7urQqxfZhSYmkp+OHWlqidKwLEnt2beP/Ny6RfJivb1Jus/48cDw4Q/6klIoFoB+6ykUDw+SPjJqFPmdZYn5dc8e0lz37l2gWTPgyBGy27x+new2XVysOWvH4M4d8v5nZ5Pk/rw8soOPiyPBVuod/WefWXumlHoKFUkKRR8nJ1IjdsECYpY9dgzYv5/4LwFg3DgSHBIf/+AnKQnw87PuvG2d0lKSwH/8+IOf2Fhg1y4SfPPII0DfvkCfPoCXl7VnS6EAoD5J6pOkSOfQIZJy8Pff5Eafl0d8myNGANu2AQcPEuHs1IkUN6hvZlqWJbmpp049WEwMGULem5QUIoCdOpHH+/Ujz1EoEnGIFJDXX38dPXr0QOPGjeElcmXIsixeffVVBAUFoVGjRkhMTMTZs2d1xlRVVeHZZ5+Fj48PPDw8MHLkSBQUFCjwCigUHhISSDulrVtJW6/r14mpECCC+c03wP/9H+lD2KgRMdkCwNWrpGHv/v1EROx9fVpeTkRw48YHTbJfe41ED7dsCQwdSrq3nDlDnuvfH7hwgfgaf/8dePNNKpAUm0fRneSiRYvg5eWFgoICrF+/HqWlpUaPWb58OV5//XVs2LABMTExeO2113DgwAFkZmai6b9J4DNnzsSPP/6IDRs2oEWLFpg3bx5u3bqF48ePw0WEn4juJCmKc+MG2UllZQGtW5Pgn19+IbVl6+rImKZNiZn2++/J78uXk11WYCAJTgkMJMUQLO37ZFkiZIWFRNgLC0luqboA+JgxJNK0qOjBMTt2EMH79VfyumNigLZtyU6aRglTFMBS93GLmFs3bNiAOXPmGBVJlmURFBSEOXPmYP78+QDIrtHf3x/Lly/Hk08+ibKyMvj6+uKLL75AamoqAODq1asIDg7Gjh07MGjQIM55q6qqUKWVOF5WVoaQkBDk5+dTkaRYlqoqUh7twgXy4+RExKe2lvQzLCrS3WEeO0YE55VXSCBRkyYPfkaPJibe3FwitA0akEIKLi4kIpRliR+wro781NaS4KTQUBI1+v33QEUFqUpz+zYR7EWLSA6ifs9OHx8SXOPsTHaA9++TPFN1rqmnp8XeQgoFICIZHByM0tJSeCr5+WMtwKeffsp6enoaHXfx4kUWAHvixAmdx0eOHMlOnDiRZVmW/f3331kA7K1bt3TGtG/fnn3llVd4z7to0SIWAP2hP/SH/tAfB/u5ePGiacIkEpuKKCj613zj7++v87i/vz8uX76sGePm5gZvdTNerTFF2uYfLRYuXIi0tDTN76WlpQgNDUVeXp6yKxAFUK+e7G0XTOdtWei8LY+9zt1e5622CDZX5zYrhGSRfPXVV7F48WKDY44dO4bOnTubPCknPR8Gy7Kcx/QxNMbd3R3uPJU5PD097epDoU2zZs3scu503paFztvy2Ovc7XXezs7KliCXLJLPPPMMxo0bZ3BMWFiYSZMJCAgAQHaLgYGBmsevX7+u2V0GBASguroaJSUlOrvJ69evo0ePHiZdl0KhUCgUPiSLpI+PD3x8fJSYC8LDwxEQEIDdu3cjLi4OAFBdXY39+/dj+fLlAID4+Hi4urpi9+7dGDt2LACgsLAQ//zzD958801F5kWhUCiU+omiPsm8vDzcunULeXl5qK2txcmTJwEAUVFRaPJvCxuGYbB06VIkJyfDyckJc+bMwRtvvIHo6GhER0fjjTfeQOPGjTF+/HgAxEQ6depUzJs3Dy1atEDz5s3x3HPPoV27duivzlUzgru7OxYtWsRrgrV17HXudN6Whc7b8tjr3Om8jaBkVNCkSZN4o5H27t2rGQOA/fTTTzW/19XVsYsWLWIDAgJYd3d3tk+fPuyZM2d0znvv3j32mWeeYZs3b842atSIHT58OJuXl6fkS6FQKBRKPaRelqWjUCgUCkUMyoYFUSgUCoVix1CRpFAoFApFACqSFAqFQqEIQEWSQqFQKBQBHFYk7bVNV0lJCSZMmABPT094enpiwoQJRgvDOzk58f689dZbmjGJiYmc540VhVB63pMnT+bMqbteYW1be79ramowf/58tGvXDh4eHggKCsLEiRNx9epVnXFKvN9r1qxBeHg4GjZsiPj4ePzxxx8Gx+/fvx/x8fFo2LAhIiIisG7dOs6YLVu2oHXr1nB3d0fr1q2xbds2s+Zo7ry3bt2KAQMGwNfXF82aNUNCQgJ27dqlM2bDhg28n/fKykqrzXvfvn28c8rIyNAZZ2vvN9930MnJCW3atNGMscT7feDAAYwYMQJBQUFwcnLC9+rOOAaw2OfbytG1ivHKK6+wK1asYNPS0kQVV2dZll22bBnbtGlTdsuWLeyZM2fY1NRUNjAwkC0vL9eMmTFjBtuyZUt29+7d7IkTJ9h+/fqxHTp0YO/fvy/LvAcPHsy2bduWPXjwIHvw4EG2bdu27PDhww0eU1hYqPPzySefsE5OTjqFf/v27ctOmzZNZ1xpaaksczZ13pMmTWIHDx6sM6ebN2/qjLG197u0tJTt378/u3nzZjYjI4M9dOgQ261bNzY+Pl5nnNzv96ZNm1hXV1f2o48+Ys+dO8fOnj2b9fDwYC9fvsw7Picnh23cuDE7e/Zs9ty5c+xHH33Eurq6st99951mzMGDB1kXFxf2jTfeYM+fP8++8cYbbIMGDdjDhw+bPE9z5z179mx2+fLl7NGjR9msrCx24cKFrKurq07Tg08//ZRt1qwZ53MvJ1LnvXfvXhYAm5mZqTMn7c+pLb7fpaWlOvPNz89nmzf///bONaTJP4rjx8umVrIuKq7EBWKbqYHLdGI40pgKkVJk1pIhItmbMopYRKTvJnShwi6ColSWiEovVkKRRuS66TLFLhbrQqVlRK3Cudr5v4g9fx+3R3dzbnE+r3zOc/g9X7477jzO8+y3GI8cOcLkeMPva9eu4aFDh7CtrQ0BADs6OqbN92Z9/7NN0oqjO5BYLBaMjo5GjUbDxMbHx1EgEOC5c+cQ8W9B8Xg8vHLlCpPz/v17DAwMxM7OTre1Dg0NIQCwXkSdTocAgM+ePXN4nYKCAszOzmbF5HI57tmzx22N9nBVt0qlwoKCAs7z/uL3gwcPEABYb0Se9jstLQ0rKipYMYlEgmq12m7+gQMHUCKRsGI7d+5EmUzGHBcVFWFeXh4rJzc3F4uLiz2k2nnd9li5ciVWV1czx47+TruDs7qtTfLr16+ca/qD3x0dHRgQEICvX79mYt7wezKONElv1vc/+3GrsxgMBhgZGQGFQsHEQkJCQC6XQ09PDwAA9Pb2gtlsZuUsXboUkpKSmBx30Ol0IBAIID09nYnJZDIQCAQOrz86OgparRbKyspszl26dAkiIiIgMTER9u/fD0aj0W3N7uru7u6GqKgoWLFiBZSXl8Mn6w734B9+A/zdjSAgIMDmY31P+T0xMQG9vb0sHwAAFAoFp06dTmeTn5ubC48ePQKz2Txtjie8dVX3VCwWCxiNRpudHn78+AEikQhiYmJgw4YNoNfrPaLZXd0pKSkgFAohJycHurq6WOf8we/6+npYv349iEQiVnw2/XYFb9a3T22VNZfM1jZdzmqIioqyiUdFRTm8flNTE4SHh8OmTZtYcaVSyXw37uDgIBw8eBD6+/vhxo0bc6Y7Pz8ftmzZAiKRCAwGAxw+fBiys7Oht7cXQkJC/MLv8fFxUKvVsH37dtYOCp70e2xsDP78+WO3Nrl0joyM2M3//fs3jI2NgVAo5MzxhLeu6p7KsWPH4OfPn8z3NAP8/SrLxsZGSE5Ohu/fv8PJkychMzMT+vv7IT4+fk50C4VCqKurg9WrV4PJZIILFy5ATk4OdHd3Q1ZWFgBwvya+4vfHjx/h+vXr0NzczIrPtt+u4M369qsm6Y/bdAE4rtve9R3VYKWhoQGUSiWEhoay4uXl5czPSUlJEB8fD6mpqdDX1wdSqXROdG/dupWlKTU1FUQiEWi1Wpsm78y63vLbbDZDcXExWCwWOHPmDOucK37PhLO1aS9/atyVencWV69x+fJlqKqqgqtXr7JuZmQyGWvAKzMzE6RSKZw+fRpOnTo1J7rFYjGIxWLmOCMjA969ewdHjx5lmqSza7qKq9dobGyEhQsXQmFhISvuLb+dxVv17VdN0l+36XJU95MnT2B0dNTm3OfPn23uiOxx584deP78ObS0tMyYK5VKgcfjwfDwMOebtrd0WxEKhSASiWB4eBgAfNtvs9kMRUVFYDAY4NatWzPuw+eI31xERERAUFCQzR3w5NqcSnR0tN384OBgWLJkybQ5zrxmntZtpaWlBcrKyqC1tXXGjQsCAwNhzZo1TN24izu6JyOTyeDixYvMsS/7jYjQ0NAAJSUlwOfzp831tN+u4NX6duo/mH6Is4M7NTU1TMxkMtkd3GlpaWFyPnz44PFBkvv37zOxe/fuOTxIolKpbKYsuRgYGEAAwNu3b7us14q7uq2MjY1hSEgINjU1IaLv+j0xMYGFhYWYmJiInz59cuha7vqdlpaGu3btYsUSEhKmHdxJSEhgxSoqKmwGG/Lz81k5eXl5Hh8kcUY3ImJzczOGhobOOLxhxWKxYGpqKpaWlrojlYUruqeyefNmXLduHXPsq34j/j94NHUzCXvMht+TAQcHd7xV3/9sk3zz5g3q9Xqsrq7GBQsWoF6vR71ej0ajkckRi8XY3t7OHGs0GhQIBNje3o4DAwO4bds2u4+AxMTE4M2bN7Gvrw+zs7M9/kjCqlWrUKfToU6nw+TkZJtHEqbqRkT89u0bzps3D8+ePWuz5suXL7G6uhofPnyIBoMBtVotSiQSTElJmTPdRqMR9+3bhz09PWgwGLCrqwszMjJw2bJlPu232WzGjRs3YkxMDD5+/Jg1Em8ymRBxdvy2jvbX19fj0NAQVlZW4vz585kpRLVajSUlJUy+dUR+7969ODQ0hPX19TYj8nfv3sWgoCDUaDT49OlT1Gg0s/ZIgqO6m5ubMTg4GGtrazkfn6mqqsLOzk589eoV6vV6LC0txeDgYNbNjrd1nzhxAjs6OvDFixc4ODiIarUaAQDb2tqYHF/028qOHTswPT3d7pre8NtoNDLv0QCAx48fR71ez0yMz2V9/7NN0l+36fry5QsqlUoMDw/H8PBwVCqVNmPlU3UjIp4/fx7DwsLsPov39u1bzMrKwsWLFyOfz8e4uDjcvXu3zTOJ3tT969cvVCgUGBkZiTweD2NjY1GlUtl46Wt+GwwGu3U1ubZmy+/a2loUiUTI5/NRKpWy/ipVqVQol8tZ+d3d3ZiSkoJ8Ph+XL19u9waqtbUVxWIx8ng8lEgkrDd1T+GMbrlcbtdblUrF5FRWVmJsbCzy+XyMjIxEhUKBPT09c6q7pqYG4+LiMDQ0FBctWoRr165FrVZrs6av+Y349xObsLAwrKurs7ueN/y2/iXL9brPZX3TVlkEQRAEwQE9J0kQBEEQHFCTJAiCIAgOqEkSBEEQBAfUJAmCIAiCA2qSBEEQBMEBNUmCIAiC4ICaJEEQBEFwQE2SIAiCIDigJkkQBEEQHFCTJAiCIAgOqEkSBEEQBAf/AeuMZZI/9b/iAAAAAElFTkSuQmCC",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -169,7 +169,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -255,7 +255,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x303d56d40>"
+       "<matplotlib.image.AxesImage at 0x3199f6190>"
       ]
      },
      "execution_count": 8,
@@ -264,7 +264,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAGkCAYAAABtmxHBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9ebhmVXkmjD/7ncczVtU5VUUBhRZBQdMGEwyaYDqKP6Om0/YXEzVqpv4wOEAwDgTTKWwFtbsJ3Wqwsf0ZO4Zo8kXTpjsDmAFjUCEgimgApZjr1KlTZ3jnae/9/bGee617197F8KUM9eJ6rquuc2rtvde013ve9dzrfu4niOM4Fm/evHnz5u0Et9yT3QFv3rx58+bt8Zj/wvLmzZs3b1Nh/gvLmzdv3rxNhfkvLG/evHnzNhXmv7C8efPmzdtUmP/C8ubNmzdvU2H+C8ubN2/evE2F+S8sb968efM2Fea/sLx58+bN21SY/8Ly5s2bN29TYVP7hfW7v/u7snfvXqlUKnL22WfL3//93z/ZXTqmXXnllfLDP/zD0mw2ZceOHfIzP/MzctdddyXuieNY9u/fL7t27ZJqtSovfOEL5c4773ySevz47Morr5QgCOTiiy+2ZdMyjocfflh+4Rd+QRYXF6VWq8m/+lf/Sm699VZ7/UQfx2QykXe/+92yd+9eqVarctppp8l73vMeiaLI3nMijuGLX/yivOIVr5Bdu3ZJEATyp3/6p4nrj6fPw+FQ3vKWt8i2bdukXq/LT//0T8tDDz10QoxhPB7LO9/5TnnWs54l9Xpddu3aJa9//evlkUceOaHG8FjjONouuOACCYJArr766kT5v/g44im0T3/603GxWIw/9rGPxd/61rfiiy66KK7X6/H999//ZHct017ykpfEn/jEJ+JvfvOb8e233x6/7GUvi08++eS40+nYe97//vfHzWYz/pM/+ZP4jjvuiH/u534u3rlzZ9xqtZ7Enh/bbr755vjUU0+Nn/3sZ8cXXXSRLZ+Gcayvr8ennHJK/Iu/+IvxV7/61fjAgQPxF77whfg73/mOvedEH8d73/veeHFxMf7f//t/xwcOHIj/+I//OG40GvHVV19t7zkRx/Dnf/7n8WWXXRb/yZ/8SSwi8ec+97nE9cfT5ze+8Y3x7t274xtuuCG+7bbb4p/4iZ+If/AHfzCeTCZP+hg2NzfjF73oRfFnPvOZ+J/+6Z/iL3/5y/E555wTn3322Yk6nuwxPNY42D73uc/FP/iDPxjv2rUr/p3f+Z3EtX/pcUzlF9aP/MiPxG984xsTZWeccUb8rne960nq0ROz1dXVWETiG2+8MY7jOI6iKF5eXo7f//7323sGg0E8Ozsbf/SjH32yunlMa7fb8b59++IbbrghPu+88+wX1rSM453vfGf8ghe84JjXp2EcL3vZy+Jf/uVfTpS98pWvjH/hF34hjuPpGMPRfyQfT583NzfjYrEYf/rTn7b3PPzww3Eul4v/8i//8l+s77BH+0MPu/nmm2MRsRvqE20McXzscTz00EPx7t27429+85vxKaeckvjCejLGMXWQ4Gg0kltvvVXOP//8RPn5558vN91005PUqydmW1tbIiKysLAgIiIHDhyQlZWVxJjK5bKcd955J+SY3vSmN8nLXvYyedGLXpQon5ZxfP7zn5fnPve58rM/+7OyY8cOec5zniMf+9jH7PVpGMcLXvAC+eu//mu5++67RUTk61//unzpS1+Sn/qpnxKR6RjD0fZ4+nzrrbfKeDxO3LNr1y4566yzTthxbW1tSRAEMjc3JyLTM4YoiuR1r3udvP3tb5czzzwzdf3JGEfhe1Lr99DW1tYkDENZWlpKlC8tLcnKysqT1KvHb3EcyyWXXCIveMEL5KyzzhIRsf3OGtP999//L97HR7NPf/rTctttt8ktt9ySujYt47j33nvlmmuukUsuuUR+8zd/U26++WZ561vfKuVyWV7/+tdPxTje+c53ytbWlpxxxhmSz+clDEN53/veJ69+9atFZHreBdvj6fPKyoqUSiWZn59P3XMifv4Hg4G8613vkte85jUyMzMjItMzhg984ANSKBTkrW99a+b1J2McU/eFBQuCIPH/OI5TZSeivfnNb5ZvfOMb8qUvfSl17UQf04MPPigXXXSRXH/99VKpVI5534k+jiiK5LnPfa5cccUVIiLynOc8R+6880655ppr5PWvf72970Qex2c+8xn51Kc+Jdddd52ceeaZcvvtt8vFF18su3btkje84Q32vhN5DMey/y99PhHHNR6P5ed//ucliiL53d/93ce8/0Qaw6233ir/9b/+V7ntttuecJ++l+OYOkhw27Ztks/nU9/gq6urqZ3ZiWZvectb5POf/7z87d/+rZx00km2fHl5WUTkhB/TrbfeKqurq3L22WdLoVCQQqEgN954o/y3//bfpFAo2L6e6OPYuXOnPPOZz0yUPeMZz5AHHnhARKbjfbz97W+Xd73rXfLzP//z8qxnPUte97rXya//+q/LlVdeKSLTMYaj7fH0eXl5WUajkWxsbBzznhPBxuOxvOpVr5IDBw7IDTfcYL0rkekYw9///d/L6uqqnHzyyfazfv/998vb3vY2OfXUU0XkyRnH1H1hlUolOfvss+WGG25IlN9www1y7rnnPkm9enSL41je/OY3y2c/+1n5m7/5G9m7d2/i+t69e2V5eTkxptFoJDfeeOMJNaaf/MmflDvuuENuv/12+++5z32uvPa1r5Xbb79dTjvttKkYx/Of//xUWMHdd98tp5xyiohMx/vo9XqSyyU/vvl83tLap2EMR9vj6fPZZ58txWIxcc/Bgwflm9/85gkzLnxZ3XPPPfKFL3xBFhcXE9enYQyve93r5Bvf+Ebis75r1y55+9vfLn/1V38lIk/SOL4nVI7vsYHW/vGPfzz+1re+FV988cVxvV6P77vvvie7a5n2a7/2a/Hs7Gz8d3/3d/HBgwftv16vZ+95//vfH8/Ozsaf/exn4zvuuCN+9atf/aRTkB+PMUswjqdjHDfffHNcKBTi973vffE999wT/8Ef/EFcq9XiT33qU/aeE30cb3jDG+Ldu3dbWvtnP/vZeNu2bfE73vEOe8+JOIZ2ux1/7Wtfi7/2ta/FIhJfddVV8de+9jXLoHs8fX7jG98Yn3TSSfEXvvCF+Lbbbov/9b/+1/+ilPBHG8N4PI5/+qd/Oj7ppJPi22+/PfF5Hw6HJ8wYHmscWXY0SzCO/+XHMZVfWHEcxx/5yEfiU045JS6VSvEP/dAPWYr4iWgikvnvE5/4hL0niqL4t3/7t+Pl5eW4XC7HP/7jPx7fcccdT16nH6cd/YU1LeP4sz/7s/iss86Ky+VyfMYZZ8TXXntt4vqJPo5WqxVfdNFF8cknnxxXKpX4tNNOiy+77LLEH8UTcQx/+7d/m/lZeMMb3vC4+9zv9+M3v/nN8cLCQlytVuOXv/zl8QMPPHBCjOHAgQPH/Lz/7d/+7QkzhscaR5ZlfWH9S48jiOM4/t74bt68efPmzdvxs6k7w/LmzZs3b9+f5r+wvHnz5s3bVJj/wvLmzZs3b1Nh/gvLmzdv3rxNhfkvLG/evHnzNhXmv7C8efPmzdtU2FR/YQ2HQ9m/f78Mh8Mnuyv/n+2pMAaRp8Y4ngpjEPHjOJHsqTAGkRNnHFMdh9VqtWR2dla2trYSWl3TZE+FMYg8NcbxVBiDiB/HiWRPhTGInDjjeFI9rGlKc+/Nmzdv3p5ce9K+sD7zmc/IxRdfLJdddpl87Wtfkx/7sR+Tl770pVYx25s3b968eWN70vJhXXXVVfIrv/Ir8qu/+qsiInL11VfLX/3VX8k111xjUyQcy6IokkceeUSAZrZare95f79Xhr5P8xhEnhrjeCqMQcSP40Syp8IYRL6344jjWNrttuzatSuVgeBoe1LOsEajkdRqNfnjP/5j+bf/9t/a8osuukhuv/12ufHGGxP3D4fDxGHfww8/nMpn5M2bN2/eptcefPDBRJ7ALHtSPKwnmub+yiuvlMsvvzxV/gL5Kdn6pefb/0/O3xIRkd/4gett2bX3/7iIiDyyOmfLgsB8Ry8sdG3ZkfWGiIg0mgNbtr3RERGRh76625Y988e+KyIit995qi3bd/ojIiLynW+5+7afti4iIi/dfacte2Ro+nBPa7stO7lukp/9w4Gn2bIoMtk6czm3lzhn7wEREdkc1UREpJSb2GvfXd8mIiLloitrdUxG4GfudPP5UNu0v9V22YLjyOxoGg037ixbarRFRORQp2nLNg+Z34tNt5lAfeE478p0GMXK2JZNxmbpBRslW1bebea7v1azZUHVjOmKH/mciIi8vO7e2bsPPVtERJZLbtf332/7MRERedWzb7VlX7j2R0VEpDBw8xkVzByHrnkp9M3P4azLllpumWdi2viNmub67HfdeLaeVjT9jdx9xa55dtRw9dVXQhERmVRdhRMdbrHj+jeaMc8Ueub/+RHtK/XRKBdk3E/3Bcl+iIj0t5uHS1uuLD+MtB+uTxFeHyWOLbXNM1GRuqL9ikp0o1bN8x1EmEd3X3fJNFJuuUnD9YkuUbwTEZHqmpnv4bz7s4X3GISuLdsGdQnjKQzdfZOyPktTltc+x/SXMTfGTxqPLupJheasmJFlVx/B+LlfeepLlNf1WMF7dHOC95K4X8fN6wL9C6vUjzDZpojIuGb+U9mkNrRdHiPmEWtLRKREawk2nME7cGXlrfTnBnORm7g6xo2chOOB3PFH/1GazaY8lj1pkKDI40+Ffemll8oll1xi/99qtWTPnj2y9UvPl6Xf+5otv/tHf1hERL6de7otOzzYISIiuVHZluWGZhZbTSobmE9It+j+WE4KdRERKcVVW3bfwHwplcK6ayM0X0DliXv2SM98Qm4ePMOWDSbmk74ycCybSdnUE0/cy8qFZg5i+sL6zuBk07+B+QtbKLjV0RtX9actkrhvXu29ffeKewMz3mjo/uIEY9NWK6b2K+ZLIpq41daPZ0VEZNxzz5b75vdxyc0PLN93z+Ym+kdIXJ/z+g6KI/e+hwNTXzF0X3aR/iH6SnSWiIgs5L9hr90Xm93YWui+MPOh2XjcFZ5qy+JZ079Jgzqo3eMPfKzLIaAvmDhIf0DxHTc4hdaP/hEQ+sKK9HKRPqAT3atE9EUp+scnKtIfH/3jF+kf7jhK/7HiL0eLpOT5j6r5yX9wcrocIroPVSeGqn9Aec6CepxoX8T98eEvIvzRH8+5Z/GHKzei+vSLPxbqiy6vQNsfz3L7ZjLGjXRb+IMrkvyja9vXvyv0EbFfAPwHHlOapy9b3VslxogvLH4H+MKK6K+q+wKk/umam5TSfQ61LJ5Jf3HwGsjpR2mUVUeZ+hklr4mIBPrxGrt9q/0yGSWeNYX0Z8i+n8h9RKWg1yOax5GumwJ9wU2q6b/tRdpgZf3tP9qelC+sJ5rmvlwuS7lcTpV78+bNm7fvH3tSWILTmObemzdv3rw9ufakBQ5/5jOfkde97nXy0Y9+VH70R39Urr32WvnYxz4md955p5xyyimP+iyC2J7xh++QbnvRlp9+wS0iInLPJ3/IluUPGc8s3yeYR33YcdP58zlAU+yVWsyVIAN9Njd2ZWHFlOWHaZd2PEfArvrWwZD2CdpGvufK4mK6jUnD9DVAX/hIY5SGiIAno29sXC/w+bCSuk0CdyRmMf2YoKRCx/R5UqPzEByFZWyFGEaw5zAMg42Bo7vb0P94h4H9dmxz51UrB/TdF1wd5RXT0eFO6nzBTEyx6ioOJ6YzUc+BDDk9L4vG3FG9VnLvMWoZXKS8zR2wjA4rHEzTXVg0kzFuO/wvV0MbNEEKvQKKFRGJuqaN/IzB0EoluqZnnHHs3uNY4dmY1mqg81Iou2fHAzPefNmNB/DyeOjmItY2+Nmy/j6m+QGKE4a0VkemnmLiWTP3g4GDlCOcdw5dfTl9V/acJ+8WdV6vYfwiIiOFqKt0jtpvlxN9MxXHiTpERCYKl+crbi5K6GfXvbOa1s3tYu5HNGdFfUfc57HORaHo2hhpGb9TwOE4t85RHVireToGwHss1/hcOJ96tqjt8ryH+myx5vDZiY6jUndlGOOg4+Yi0M8/v9vxqoHc46rrX3nGzNmo79rNF02/ynSW3T1Sk6g/kIfe8tuPKyj5STvD+rmf+zk5cuSIvOc975GDBw/KWWedJX/+53/+mF9W3rx58+bt+9OmUpoJHtbHb/tXCYLFH3/DeFb73nCbLbv7Y4aIIbQDnNtpdumba+5EuTZndsuDvttNRF3zfV7f3rNlvQcNOSFYJGbcpnmmsuwYbP0jZtcR0O4NjLioRl4XPDbagWEXyDvoie6K7DjoJDRHu2VYSXdAg03nOuXrZmcTEhEDu8twQLvctrkeVchl0z5V5xybELtH3tGNNs3utjjDp+vqJUXOq8CO8+SFDVv2nYPbE9fYRhtmHKV5137uW+b9hWU6IN9uxl3YcGN88U8YYs7e6mFbtjY273F95MgzJ1VMXx7oL9iyZtG0lyc2xf09c/38bd+yZZ89+BzTv7zr+/PmDbPzm+1dtuyZzYMiIrIydGyC1sTM2dNqa7bs61uG3HNG85CIiOwuu3mKlMEQEhxwb9/MXXfiznrrBfVKS21bBqbqdirbVjDszAeGbtzj2KyH+YJb+ztLmyIisjFxc9ZQl7pDLvrBkRnbyeV1W7ZUNAzeh0aujXWtZ0gsBcxzQ/ueI5cV7a+O3S4c8/j02iFbdmfHzF0179ZgTtcgz+ODg4XENRGRp1XMGuG52Fc1dWNORNw72Aod4aimjJIcQR1DZSk08m7dPjyc1/Fs2TLMBdrYVnTvB2u1RoyVVS1Df0VE2hkwyYK+24PEgNmamD7zXKBP/M4wjrt7y7asWRik+vfVjb3mWtH9TXxW42HTVsb8zObdmvpGd4+MOiP5xAv/6HF5WFMtfuvNmzdv3r5/zH9hefPmzZu3qbCphgTP+dxbbZyViIg8pPE28+5A8PR/b4gY973vR22ZjSWgw/pSy3x3c+zTWGMhYiIGVB8yLvtwkRkO5kex7b7/R3MK6825A8ZgQw/GqV2QGArt9EF/RFCXRUbAuaA+FWzfU1Uk2rLEEo5h1GEwccKSH4i3MKkqYYSgVdSdiAcapWNRXCwIjU3fwaTpILRiS4kQ1Oewpg/reBvbHOzaOzCT6pOFHznwc4fCGPMOxhiMTAfaXQejzDQMLNzqOBgjlzPt16sOjtnaNASLbdtcfYcfNJAKQ8CNOQN9MMxc0Xr6PQfdYbT1moNU2lumD81Z06dmZZi6PySItTs0bfQ6rt6KHqrXym7iexqDx0HmeV3zk5CCYBWOzufcy53RPnRHFOxdMPUMJ27CBxq4VKE2GmXz7GbPzW2obYTULogS5SJHTEmiPtQv4t7jYsPBTCsbBi4rEVEG4+Dx4FmeC/w+pDZmq0qeofnG3EcE2zMcfPQY8wQ79rTdEpEoXH3m/zkmjBw1BhH3vmeqDmrsa70BtZX1btEWtz9UYke97NY5+rzecfGlsNm6IxytrMyJSJLU1NC1zMca9rNUcvcd2mxK1BvIvb94hYcEvXnz5s3bU8eeVKWLf649sjqXULAoKXV9QpH98KxOvezLruw/qrdFNFXe1cMKHaX2dt33+njW3Fc76MoGi0qcIJ5BadNcH1TIcyoptbZDO0rd5BQ75Lno5WDTlfWXdYcIej5R6OG5sIcFryOkeGt4Okzxh2WVJSj++izL8sArZW8KcxDTfaDHMzkiP4C3l0/dV26RbJH2a3SSHtjSjrInZjfGXmT1kHm2t5to6CvGi1rpUKcgf0WKHBtKnskNaDeqP7cKzjNACMJhomMX183vAXH32xq+kG+5CerUTF8Cen94L62681wKW6aedtv0ucVEHfJorY20LRpPv6heV4nUBNQD5jIQagIajyg9PiaPcbOsqMGIFhrmnsrQRofaOKIhA/EgjSQEVAbnoKuEn4RHX8IipGd1jh9sErloLT1uKIAkEAedqwGhFWgjoPFs1pScxX8ixhl7fVDm+RLCDKjdoJ9PjkckQQozNzG6kv5sYtydBnk/CJfhv2VKJRcmVen6jhpECNOyNhOtEIbTTb+zfsV9HorrStLKu/W7MauhBTRPQK/WyxROtFmQaPD4/SbvYXnz5s2bt6kw/4XlzZs3b96mwqYaEgyC2ArZijh3H3FWIiKdljkMtzCgiJz6WwYevOfD59iy/HpatQFoFR/gT1QdY0jCsONFjXCnaPKxKlMIx0jhADRXSJUF1AgUxFn9OFY3egJx0IghpVyivyIieT0TZeJGlEY9LTQ3mqX7FEopsDpIlhC1thdW+dl034Nc8n79n2lj4CqGqsWkTsSXhvm9PmugwEbJkQ9yy6YsIjhloBhonuLkJlumUwG9i3gICI+6hH4ylATkkp6NMmAejC3KgKEigkAsqYfQSTu3rC4OhY+6WVsBi9qCWEIvJVbohZVDbMWkShCjo6T4YOEyXqsq5MpzltPxJhBJHQ+LBMeic1t17eYUmmJVCzt/JA4coT30neoAjMtzAWgO9YuIRErUYQKVFQWmZ2MlF7FCQ6D1xPT5gioI09NixEoS5BUoxJdjYeFcun8hxDyoLB4l30tAfY+VMBFQvGOsf7oTdcTpeu36JWiXx2bLoK5Dait2DMM0BJzj96J/uzDvIm7dsPKKaB/yJf48FJ6Q2+Q9LG/evHnzNhU21R7WwkI3kSJkvGZ+ZwWLnNW+d9/08Kz2vfmrqTI+/MSmMeRD6zFSQbh+5PRQElR2EXdYnNAz0wP0xHmqekBMSIBxCgp7+KxN8OExezj22WKacm537ZzSYzGxXxYRR8BgEkeIw1jaIMe6e2SvAnqKWX1KeIzwSGjnB+ICvCrzkPkddO1NOuwNN8paF7WvO/PJppu84oLxxJiaDtryoEKacXXjlfUpXxiouqwPN1Ayw8yso/a2BpqehQ6ta3p9WKW+lDL0+NB3ohlDg60xY/peKrCWoO64aSF1Spo6hlKz4HqRNOtCza3EudagJcj08ihjF95UqvJo4toA1XpM7UIXj2n6FaUytytubjEHMfEGCvAwtO/8+cEcMOV8qPfPNh2tvV1I08tRT0K/r15ItGl+V13FqmujUVUtQXbsdLzs5RaV1s7vJbbhAa6sX1WdSKKpg3aOdcazDxo63z+qmf5ViYY+mqT/nKNP/H7GNfM7z8VE32mRKP54tlOi/Hk6DP4sbW5XrcOae7aieoERaRNizdWozxtBLNJ79Fx8bN7D8ubNmzdvU2H+C8ubN2/evE2FTTUkeGS9YTMFi7h4pPJuB9VEDxpxTI6zAsGCSReABw+835EzJnXjghcotsWmPSBCwnC7RnDf79zu/lIaaov1MJRjE2w8EB1O2uysrDRRSMeRwApdhfAIrgt0LsbzFPOgfWZorrqisSiLBGNoG5wuBVlPE2latD1OV4ItUPkIx1/oGAgmtFqgpPCBOeBxIGsv0lzMlh18sNoEXEdzovUFdYI7VIh4q0npMzQuJb9FGZln9Vk6ZB4hfoXIB4GmF2kzHLRp7gspZXpPM1VzHMugoLAwp6qwZBw3DBtng/VBsBUO9XklhBpjFnBMC2BXikuMIHxMEBXSkDCBANc5rcqmwkYTIk7gAD3i9attbFHqjS5Sk3Q5QE9/UIzQGAfyOl4mK/QQVEjLLe6YNtoEw40VKk5sx3U84wr9yWsjYzbNLVLMkED0OCPdDLJxx3SEgHfEpBBcZyIGhKxZ8BopbUC2SBAsFC5MaBJpnNi46foWaqqcoJTxt4fjvPT9jZmIgfrqadJF2GHZGvOjRbBwcc3M46Thynoz2uc+zZ0eU4wIbg2PlCXqZ7DBjmHew/LmzZs3b1NhU+1hNZoD6RbpxFZTSrB2WzGX/va21HXadcCz2vsup4hxz4eMB8Y7fmyqY6K/Y9cxnE+3FdNuHeQMJl2EuhtK0MbB9q0zY0I9HFXd4NQflgZPt8fgoiSouHo/F0I8gCipOaWa58jDwpwx2QSWEMTQuRo3SVFgnNE/fWiyQO0iiSVTevX30ZYZ0Hrdve9Yd5Qh3Y/D7ZgSMwbqiZUocdxEd8MheTo2uWKOiAvF9E4/LJnrZUqAN9aDdE4dU9Dd+oSXCt43k3uQMYbbCDTJXy1N+nDP0UG+ekeJdaRzUSJa+yhMzzHmZUJkBuzmmQgCbT4mcaAPE9pxj5D8keYbh/AJKj60BKkvRaVV4xqnrskpMYkJIWP9nZMCTpSQkPBS9D5eAwhN4WSWSOA4pHdWVYIB9x19QIodEZcWp8CJFtVzYmIHqi6TxuNINR6DXPo9Y6kkSBKlQroO/cnvDOuG3w8AEX4/CLUpldMajoMJe5FpIs9QQ3jiRCJM9aipHswPv6txrShxkCbJHMu8h+XNmzdv3qbC/BeWN2/evHmbCptqSHB7oyOTgst+OoEIY5cOTDVFSIHFZdU7ZmgO8BtgQBGRfW8xRIx7/uvzbJl9hr3YSTr2CAoSfNYJ2C0hfgshTI6Oh5oFPRwBSlIGQ8AR5IDBCJyDl81iqGiDCR6hQn0WjqMxhgR7or2wSTErW7nUfYATeSuEGLM4Y7UlBEAHQcYNWqZwGccAQcST5w4EEIaZyhpLVaMUHYhZ4QiQpqYX6eQdkQeH4EU6IO8plNSkOKM1iH0SDNWom9rbsYsdQxtdgq1hHNvSiqraZ6QIcdey4nIQQxVxSg2FoUpFhvDMzwqleCgqhNQdpPvEKSjQB47pQawOUluIOBiKY4SQmqRFKThQz7jkFgZSUCBmh7MBN7QObquv91VpPMNKOr4KxqlEAPHxu0UbTOJACg9enSP0neOWdK64z6N8PtUurElCzgN9FulKeN6x5vl9D3WOOXVMQcu4faQLaQ9cvCpg3HrVrd9hSeP+6DMSZaR/wVwl5rtpni3S2kPdE+of0pVwqpzhoCiRpGHIY5n3sLx58+bN21TYVHtYD311t5Ro9xqpN1XZ7qLeeweN6gWnCLHkA1JoAHWdCRbwrPZd9BVbdvdHf0RERGa+7aaufbrZWdSI1j5Wx48ppgF2fF1K3qc6ZgWiVyMJIp9F9k7T/+jmhFUobKqODAeFiRtI+xDQZq+o44aOn6lc+8G0eqXHsydWaukOjJQz8Cy3EWCnRm1YWvc6pfJQT628TmQPdXaC3WbgP7LzAXvtb7unmz7RjrL4iCFlTJbpsP42o0LRzzdT/aTzXxnmzbMFnltsBqkMU4pUISIizY7eRvX1t5v3XKM0MaOyWa8JuUKtj87vRUU3ZFg19/eZDZ7BAka7nPcQaV+YrZ7X98LOFJjwObfxtX3qE6epBw+d3zdISCw3px8/YoZLV71sDoFAmAO/b6i7QLSBiTobGW0hnc1WzanblFtppRYYORpS1lygTCTaqiTHICKyXp3Vzrgy+9lkgMBqj6aRCY6MwTxvlmdT4wCgkMheom2wH4LPZpveD0JFWCGnp1RyDkeBaEqv7D4PBX12yy1pu+aLBEOgfwRi2bXP891vmj+AvKYAGK3yO2gfpS/5GOY9LG/evHnzNhXmv7C8efPmzdtU2FRDgs/8se/KfYPd9v/D7xgXu/egc3Wh5DCm9BlIERKMM6ANLtJHAAOKiJz+xptFJEnOAAGjvz2tFsFxWLKl2AN7wFE6vYfk0/0LemCKHNU5EYkKUIjIEJxltQoI7WaJ0HLGE8UeGCqx8V+EZfV2Q4mXnh2l4UkLFTDqCLWGhsMO8xpH1z2FYlYUMg1WDMTwlfwprpJHFL8gWKa/UyHWFYeLxGebdDOnLq67vo/N9fWeg5SXGwYj2qAyHMwz6eFIy/Tl9KXDtuxbDy+bfrquyGlLayIi8sD6vC1bbJo2+BAcJIpdsy4tzn2HFkVEZMeCKdtZd9dwGD6il7YxMH1e23LQ2MKMaYvVQY70TN8Xqg7zwmF+a0gip/qzSelcZkqmno2hw6FmS4ZE0pu4+V5XHHGu4hRntlVMX9bp2bEG7W323XyDEDBbMW3laNFUC2Zhdqmt9tDM467Gli377vo2cz8RAzBGHs9qp5G6b1HnhediR60tIm7eRUQGoflwDEP3DuoFs0YiWgV4pkDY5vogPT99zRs00bVQzqfJIRx3t6nve7nedmVDU1YpuPE0ima8a323LoZKGJmn9rd0vNurXVuW0z7ft7lgy0AG4fVz72GzVpnksnd+IzEuU5/p/2LFtfFPazsk6A1F/ps8LvMeljdv3rx5mwoL4jjOOMI9sa3Vasns7KycdNV7pBQ6WjsOQsM9bkcZrOjB90H33QxFCvYgCj1NS1FLe0n1B9yz7aebRkB5FxG59wNGJYMPj0PdoA1Pc32BJlj+iGs4rJv6KiukzKDj4ANneIhIG8LkEOj2sZcETyhBtdcx8sF31kEtvB/WuxtrUkUmghQ7aTq/9bCYVKC/Z3mvfFCL3/N8yKtjmjzT7Mr27jhir919zy7zC+3sGnebgXSe7naZuY6GDlAKF3ivxVZazSNP9HrMSyKFic7jeNa1W11RLUE6UMZ13G/qS89tkGZfW68RySzjjKR87M7BA0545RgXEW9ylmFBHjoIEeSNw/OPquTtQgtzkrHPpVAJaFByMknUkyfyE9ZrYr6xvkFcyCAS8doqKAloPEcKI5sQuUw/GtJ40JeY+1lJh3lkJYS0YSWchgWoCiMdaI6JLx2Eg9B7US0/O27+/ChbgT8/+JyFTUqwOTiqDuoz65eCgBE20nPBZXg233F/bCxyRHNWXlWNSfrbGeqa47AajJf7V1zPSzQYyIHLL5OtrS2ZmZmRRzPvYXnz5s2bt6kw/4XlzZs3b96mwqaadLHv9EfkcLjd/r9zwJAuYso2i8h+Tp8xXjQHmjlK+4AUIQkIQt1+xFmJiCVYAAYUETntnUYw957/5ogYiZQbthGF7giWgLs/IhFY63YzBAE8QNuPSfwWx8gc+wToKRH3omQTjqMZaygIt5W3ChLUJ52qcIZSIpQVaiN4wEILHNeF7LGcggLkjSZFl+h7S2RkRt0qInq46yDgfBvtu33XYEHvJ6hm4XRDtpipOKwRh/WdvsPwFjQ6/8iGO6CenTGHy6w8sNU1h9unzBFJorLD3DfrDvXnaqY9zgRbUcUDFt2N4/RaQVbdHQ3TfpEUIqxCA5WtdepytEFJYpEUFVBvgd5tVlbarD4t1rqpaxPFcVuDSur+eskRVRpKdjjUcYSogfaFx5Gl1gCrapBZiwgrmNvTZh3p4lC7mRqjq9+11eqZPs/U3PygXX5nWDdMugBRhssKSuxg0gNIGaUcrR8lOFQpaA7KGcVcMuOyiMhA+1IkpQuQduZqjjiBPo3oPZZovLDOUDNmk+IE5rRB5KKyBmwd6VKwl9osrakH5w0po153ZSCyoE8ibj0woeShzVkJexSs9RjmPSxv3rx58zYVNtUe1ne+tVvKE/ftr7JdUtjTsWXxN80hXs5tHCQ/MKSH0ZzbsSD5IqcIAZmAFSxAXWeCBTyrfW91RIz73mc8MD6TFVW9CNpu2pEmpLLq2sBhNG8yx82j0pBkHKImDqO7ucRzIu5QnVU/ih3Un9Yy5EN4JFIsttKKHFkpR0qk7gBSAd8HgkVwkNgjWsbkEUxCvM3syk6infQd29QTol1uSb20kFIdbH3T0G6P8CE3SBdtNxfreuCcJ6+0HZjdcESEjWLbXH+g6bya2qruuItukJsLZm0y6QJTyuQVEEsS6iX6Tg82zRiZMGIP8pl0oSQBJqyAMLJacl6NPcDnJIPgKLDcHRxVCmM4kp9Pts99IN1LkCjWqc/QwswzmUGvF9rpMswFz0mWwgfm6e4ZUm1opVOtYIwJ8oz28zDNj0UmKBxlTYlRCf1OUM35PQINyFCp4DLobfI6t/U8iguRRbrYqji1DEu44W4W0ugGPtdbTELS9jcTEizmR0IlSH/dpM9SRT/D/Ybzsjsgr9BnaV3rjkj9p7RhSBeP17yH5c2bN2/epsL8F5Y3b968eZsKm2pIcPtp63Kk5yClwkGDW/WPuMj5nMJ+pU333TxW6IfTd/SX0ge0gAzGdJ4NFzuskIutbi9gQBGRUy8zRIzvXO1SkyBOg6E2xLRwDAMgtIRKhQ4TEEicReqgIqT04FQiMIa3UA0TMWzsRiJWSMdNcUa4L6GSobASIbWZcVhZ8U02DovGjX6N18w7vSfnSDZBB9hpuk/BuoPmJjvNoW6pShlW9cB/ME+pMvT6uEOknSLSurg2RkXzbGXZRez3qmbADL0UtpkD8cmaW4/F7aZsPKTsvgrvIkOxiMiwZfqQV1JKpUKYtlqOiDLddkXHRWlikF6Exj1UddNi0x10I2VEr0VpVQAHkTowMg5PKA4L6gZcNlKl3nLNPYtUIz1S3QV5Y9Sg1CSa/Re1FSj1R1EJK2PKjDwamN+bTSLU1NMkAVsHzcWorSQfinGrNjSFSdvNRU3rzkr5wZl8YY+VcXio81NvULobVT4Otb4CpSPBWuVPcqTvuT7rSBeog9cFUsv0eu6DG+nfvTLNRb+t8aozFDeq76dPirg5fT9lymLdL+j6ps9ydd70C5mUzTOmPU61sllsStRPp145lnkPy5s3b968TYVNtYf10t13ys2DZ9j/39U3uoIBHbjHZbOzGVRYGkIPUTOcFNb+gwPGKUJwfbiQ3vEywQKe1dMvptQk1/6wiIhMaAckiOyn3XU0gsCfuy1QPX94TkyNh+cWkLcJjb5EmbbF84M8AXGNc4mYMebaRAQBjZ4PwXGAz+MBsaRP8w3JQaK/YzdWniPKte7kYqb4Q/AA4yevOLeYpsOOZ7VP9DLOOvURERGZKzn9s/WhcZvXes59huZetMM92yyC0uwG/nDbHHT/8JJLdfIPhb0ikqRNn7ltRUREvt1YtmW7m4Y0MqH6QI2uFdyaWukastBps0aPMM9J+fLmvhxJZHxj3az9YgaN+bTmmv392xumL6xjt1QxenQPdudsGejQi2XnRaLdIbnUGEeJGBsPdg05Y2fV0f4XSqolOHLz3Q2Nh3Nk4Mp21sz8tEZm175EdeQzWBf3dQyl+vSZVVt277zREmR6N+jlT59ZSz1bJRr6yTWjgXdPy3nyT9NnqsTcGivk8UjfkR5AiW8WKEGhztUM5eh4QOfntMYalZm+FJT+vlxxGoH3dgxpCFqOIiID1eg7ue70MTfHZs6qefJs9ff1kfM6H2ibtk5qbNoyaDw+ven0MbsT43U9MO+0MPF++F3cVjxJRETmiWL/A3OHRETk/o7TIUT/99adWs3NtVNk0h3KQ/L4zHtY3rx58+ZtKsx/YXnz5s2bt6mwqYYEHxnOWddYRKygZ7DBSq76k+MLAGG13bMQ9mT1C4heBnRgihQhCXgLMGIpDdMBBhQROf3/vsWU/a5LV4ID32ic3jvggFPEHZRaqIvb0jJO1REgfUeVICKF+mKG6yB0y7CeVbqQ9H1UXzxMQ5eYCxa4zGRdoH9cpoSFoJIxNoV2q0QC6N01JyJOaNP0WQU7Kd7nyJKBOxi26mp6kXFI0Jwea2+RagPguiIpFUChgWGWoR54R0WKO1HYMaKpaI8NzDIkJQVcZlUAKBlsVjP6ruk1WA1irM/2xul0DocKTlAUMBnGLyJyJKhpHWmli8MxpaVQWGtE96GNjdDNBVJzsLoD7NDAxTwBpuO5ONRLip8eJMgNkGln7AgEh7umf0tVB6EhvUmWOsjGyBFguF3Y6tDUx5BtR+e7Fbt1gevcF/SvPSEljjDdBhRF1oZubvFOsc5WaJ6QooMhY6wjrmNTx1YhSLCiqhId6hPWCqd6Qbqd1aFrF6lOOiO3Vg6JeT9Ngiexbgf8Hvsz2pZbK0hBc3Dg3nF/XJRwnKX+nG3ew/LmzZs3b1Nhx93DuvLKK+Wzn/2s/NM//ZNUq1U599xz5QMf+ID8wA/8gL0njmO5/PLL5dprr5WNjQ0555xz5CMf+YiceeaZT6ite1rbZYW+rQNo9dXCVBkk/UVEJjmlibIToB4Ol9lnusTlhioApQgBAYIVLEBdZ4IFPKvTL7zZlV1jymzaB3E0+ahA9aGfUI3gNBLqfXGaCquWwXqEeh9T2OEdhZN0fZx6A4fMQt4ZaP8Jb0p3svlRqiihmhCVlNIcubkNNMVC7qDbyYbwtippjTmkQojJE81vmPcSUST+4Q2za+SkiaAAM718qN7JoO92lFsFtyO3z3bN9btyO9yz6+a+IVGk79OBd4kWPJhRlRWi+0bqRdbq7rC+s2nqu1d3r6UCec8Z5IN2x9w/ofGAkt4duvH0dWwbpLO3VjaeILxE7hOo7CIiZdW+mxCZASSTIXl2YQh9QTffh8qNVF9w35jaBY0d1Owc6edBh7FHdYx0vHcGjtiyvpXWVUQ96xX3PvtK9Q6ojdWK6eeA3k9XPQzWDRwr/Zz1F+HRcZ8xVwktyo5ZD4drrp/QeIQnyNTvvvZlrUj367g3625t4R3kqX0kHm336T5V+unV3Tx2dS62+hzaYN5Bq+PmbKtU1TFSSIWu1V7eve/eSNc5v1tFqlbLzivc2KpL1Hv8X0PH3cO68cYb5U1vepN85StfkRtuuEEmk4mcf/750u06ttEHP/hBueqqq+TDH/6w3HLLLbK8vCwvfvGLpd1uP0rN3rx58+bt+9mOu4f1l3/5l4n/f+ITn5AdO3bIrbfeKj/+4z8ucRzL1VdfLZdddpm88pWvFBGRT37yk7K0tCTXXXedXHDBBce7S968efPm7Slg33PSxdaW4e0vLBg+/oEDB2RlZUXOP/98e0+5XJbzzjtPbrrppswvrOFwKMMhSeG3TGzGyfUNmZSdm3zwkLqunHFzomQBPv9VdzYpKKpZOInMgFiiBHHBkh5cESC0iMgCNisrkTNAsAAMKCJy+q8ZePCej7jUJBNAjBRzZLMAo4zgPwvJ0f22TYIOQRTJEqGVjLZYzSPOyKYaB8jYms6cygIAtn+cXRj1EKElLus7yFG7gHe1KCRYJsa7IpUFvIOYYs22zxvPfbHq4rBAOtgkCATpFtYCt6YaWlYhSG69bA6r9867eJI7VcEhT1DbSXObIiJyMOdg6+Wm6UuHSA9IZTFXdXEsqwrH7GgadeJ6IR33x7amENIoA6Kap5irVs2Mt0zjQd04+BdxUBenylgom/njA/ycUkb6RH4CKaNZolQrGgO3NiAShxIS+LAe8T1IR8L1zupBf9RwawAEj111J4p8v46bY4UwF0ye2SqbZ2uU5mO2ZOZqre/6uauhsXNEigE8OAhd/2x6ESI9gHTB87ihRJp60c1PV0kUgPOYsII54HfWHpn7FytdKku/W/SlU3HvDOlNlmoO0WqrcC2vM/T5wdKcLUN83iyRLr49XhIRkRlKL7Kz2Ur0U8SlFZkru/X4YD6USXko98njs+8p6SKOY7nkkkvkBS94gZx11lkiIrKyYoIpl5aWEvcuLS3Za0fblVdeKbOzs/bfnj17vpfd9ubNmzdvJ6B9Tz2sN7/5zfKNb3xDvvSlL6WuBUfJTMRxnCqDXXrppXLJJZfY/7daLdmzZ4/8w4GnSTyhtAJKZY7m3S4hd9jsToodIhXESdUIEae5l0xJoOkPtki7bFYVGo6QdtpCOkUItAETChZK7GCCBTyrfW+i1CTvNZqELM0/hPpDLn3gbinc1Hckc5w00ulFikRAiaCNWKW0Cxn1ga7NdPGcbhDDWpowkkgmWQiOrs5SueMOUaThTNGzIVKinGx2krtmnPLBXYfcLhhWVM3IERFvHrnXKB8cJNp/rF5ZQO2vw7PtE6W5pG2QF5nfNOvh9k1HCy6sKE2eBnl3R3eXlJKlpQfOOQ4tUFvjsARV9mjVjbeXY/UWkGzI2406Ra2X3q3OwSO8LcUjhEIgbCMe0Y3wWskDzqsaSkQeLQ7mucymvqE28hVNXDlwcwFCUDzgFDP6DOabPH8ozsQcAqJ9fmjGqTFEa+VU+zGHgcBQNxOTdJ55Lg7WDLU+pHZteAn9wciVkoQREReOkqN3NVGSQUJBB+8UzzKSALUXqjfumzruJ4Ua22dOoaJthDzHOo6DFTdnUPDhsBW0l0WK4L7nDqtiSdmRM9aazURb3K88reVwqyhR//GnF/mefWG95S1vkc9//vPyxS9+UU466SRbvrxs2DwrKyuyc+dOW766upryumDlclnK5XLmNW/evHnz9v1hxx0SjONY3vzmN8tnP/tZ+Zu/+RvZu3dv4vrevXtleXlZbrjhBls2Go3kxhtvlHPPPfd4d8ebN2/evD1F7Lh7WG9605vkuuuuk//1v/6XNJtNey41Ozsr1WpVgiCQiy++WK644grZt2+f7Nu3T6644gqp1Wrymte85gm1FUWB5JgsoKSCPB/k4yd9NYdEmJCjrzMPA5l3OW4pD0IEPVtIp9mw8VKjNPTDUB8IFoABRUROfbdJTXLff/xRekhJF/osq1BAkzOR+deOJx1fFTERBOOIeB71Gqv+g+tBz+YVfso7LoN7lhAYiDRwGfof8vQgrQpnr1XYEbE6HIcVqPpFnEjrrBUmMqwiG7BrDPF5/C6ivMIiGZllE4QWqG8QzGLnioklep0zGEcBUulKyoIhwaO65sKi9p3HCNQoQ4iY68UYWZUlyICN4kLWuPUnsWdCPENwWRZpB/XEJPER4k8NiUtjahkit+QeHW+CeIQ5iNJthQSxWlSNYwujtAKLHW8W/EYQp62G3xmu03qMNPYoIvgYfY1ovvGeE+sWaypjXWS+73F6Ddp3wJC6LSMYF++H3iPiUFl5Jta/o8GQF7Wk+onPNf+dDHWMvKZsaiYWHRrlkrDhY9hx/8K65pprRETkhS98YaL8E5/4hPziL/6iiIi84x3vkH6/LxdeeKENHL7++uul2WyKN2/evHnzlmXH/QsrztwiJC0IAtm/f7/s37//n9VWLhcnUlvkMnYJSFYYbLKnodfI07KJB0mXzipIkDeFnU3CW4D3k9jdpunn0AZkBQurPkG7cHhWp/7Wl23ZPR825IwYahG080x4VugT6ufNnj4bJHZ25keeMnVYlQyqD3PApJSs9tFeYjeIMqa663WSyLPXAzqDxTsCXZz19o4egwi9A/YgMO5i2vOOyMXDjjIOeGceJK6Z33UNMKGmkPakcT3uUdJCe1hNu9sw3YbNfaPeUa5Ch+vxUQf0IhIpvTrgkAD1QDm0wn48y7TOMe5+el1y2pmi9mFMfzZyhQwvVwkgCcIGSBdBPv0s0eltiATS7rha3XiZfKCEgDyRBaJe+l1Yz4rJF5pcMSYFlhyIJV3SZCwlQytERKKxPsOeS2mSug+eU0DhDlCpyfH6ARlFF3DAhBGb54jGo5+DHL0fkCMCVn7R+ZwwcULHzUQieKO5uqPf22vD9GdEMkgsMSNMIK+wdwbSBb+rfj6ZnugxzGsJevPmzZu3qTD/heXNmzdv3qbCpjq9yDl7D8h3Bifb/x+5z8QVxBTrAW+zv8yKCmkliQlccII2InV7e6dRbILCDeNZOkRViGbc5DQXeq1LgqKA/2gMiPUaLjB2aMoAA4qI7HuzidP67n82mYxDiq+KMmAym5GYDziVJJGIP1PoabLAJ7UqfHqEDtxr6Tkbz2pqFI7JwEFuAstJdc/1c8a1m1dB4cEegiXQXs9cu2/NZTC1B84EPY0W0lDFzqeZLKqs+LA5MDEjay2narFtRrPidlx81Y4ZozTBSgUPbsyJiMi+bS5j7NdDE8xenXF45qnzRiHh0KyLF4OaRn/s1gWEUZlQ0tcD/JNmTR05mlBkpeX7D2yarLQhExL0+m6KXVvpmHNiFkjdXjPjhmoEP1ug++ZV6YIVHya60LkM9XBWY2TcPUxKF1DT6C04+G1B1UiQlqJepJhKnQNO/XFIx7Nv3mXKfWDR/B1gVRTMFa+BVU1NUi+5NjDGdcqCvEMVIXi+oSjSIzgzS+liEqUVQ5BhGW2JiBxWZQ1kP+Y6oLoxU3ZrC3O8XHfvFqlO+J0hJQn3E2tgR73jnlVFigVSzoCt9hy3oKqqIE3KoPx1zTi8MOee3a51b9Gaaui7ZHWOu2a2S9gbyoOpVrPNe1jevHnz5m0qbKo9rM1RTboDt3OwdE2mIOuv+T55U9jQZejx5btEscVOjggJWfRuySAkoD32ZixVl8/Ws6LtQVmlw2B4Vk/7ja+Y//8nR3m3ChHkmIxzeijLpAYwcdN59STHB9WgqRIRBPPCZAqog+TpWRA7kHrENGh+cDiBpf0nOqHPbtEhLxw2JTrkZpiSr/NERAPrRdKB8mbXeFOcCgIeDNPFkX5kMnb3HW6b3TBrBA51za10idUKT77tAtxXC2ZnjDQWIs7ZHJGH1QUfoORe1kBTQDwkRmWB002AeMIJCjGekBJSIs3Fwy1KmKepOYqU7mIFCfioT1FGG0h4OCZvCn2ZULuYZ/ZwoIfH2o32PnoWaTbgzWzm3P1VnQP2TqHD+Eh31pZt9qo6hrS3OSLdQvztwNyZus3vHUqNAt1ATi+CVcjP5nX9cioYjLFE84h1xsk20R483wKtN7TRp/uHSG/C3q62xQlDs+YMaUhYMxNpXxK6jtoXfH5ERNqaQmSr6N4L/t4ibQr3gecb62tISS17g7KEA0+68ObNmzdvTzGbag+rlJtIgXaKQ3xRM+0VntCQdluWqpz+Zk8qrmMHTzdYHJt2W3iGtcaQhLFKPoSe9XDyRUkfuTj6N3mKOLOCZ/W0tzvK+73vV2+L6e16NpaIqY3THh7mJxH0p15hQpk9Y6WAjhqT54T7+H5sTDmA1faLA7UrSumldxXN6W4V52rkaQxAj2UNPLx7dvDAEKddbr6SnvhqKU3phefA5wLYrVdJ5btYN/g8J1Bs6nlVjzwseEpMzx9pcHm97M5S4GGhrRlSPoe3kstQI2evAm1ViukdP/om4tS9+fwLI6vQnOAMBed/IiKNiinjdPPwBFgtHWdR7OWGse7+R+m4jKx5wnzze2zpUQqXYc5YmrRWNs+y99PPFVNlzfJQ++narWnfOVxmEqf3+vCioEou4s7iWCUec8UZAMKSBuHn0uuyWE2rz2Ndch197V+dymzfhTwiva+S8ARNfbymMQ5OmIm5ZYX7QoaG4lzVvJjWwLWLZJ98npfLRZ7W7s2bN2/ennrmv7C8efPmzdtU2FRDgt9d3ya9sYMn8oC1ONJ7VeETQnugK8YpNQpdJUmwziBIAEQgQKqMUsuVAVxhYoermDGvDH00kD04bUeGNiAOwYEsWBhQRE57l4EH77/ciQfnkVyRNcwQzZ6YiyB1H9COBFFF06XkhxljJFOUR/K99BiZxGGJGAwHgUrdY+hFU8EsANJhEcd0+2gjJJih16qk7hsrsWLUdS98WDV9YdIF2hiXKXWMKkKsbDoyw3i9okNwfT9SqyfuFxHZEFMWksYkDq1dOkiRsfYLWXEmBKUBDmIIZqhQ5JhUNUZlM54eEzb0sH40cn0qaFjAcODeBaCfAZWN9NkBvbNuwbQ3pEN9zF+h6N4VaOCtbhqa4vkGuWWoBBQmZACaYjGd0RDkGXdfV993jj57eN8ME451zkbFNIljSNAu+hkmCA5pVR0QWRjWm2SQV3pKsGAodKKKGRh/nCEpEzCtXsfNECug5VLJtZXLKeEo4/0wIWKk4+V3i89au5v+/HAYw3hTIW9KG7KSb2q7pGyi65XXSr9dkchFGjymeQ/Lmzdv3rxNhU21h1UuTqSX8BbS91haNAsOp6XGXKAvExLgBrCGF8gMBSJxTOwD1Bn9QZTvWBP0JfqZoROWpQ1oq8V46R54Vqf89k22DHqEcZG8w3xGN0eqoMzpxkCSoHmySu9UVlDPM0Hxh2UoibNnB73CaI684bZ6DkQAyanDECqxInFAn6Etl0XZt1p51M0syUvsajlBIHTkYg7OhqdMO16rCE8afQlPLdUp6rPelggAB6EF0pGcnt3+ng4eZ806tMFEjMiGVqTL4gzaNnuMtg1aq/C6JpP03pfbzfJI4O1J4r2oNxNmqNSrjTPmlSn0SGwZJcJb4JWmldSz6maNSXgxWV4P9y9L5xLjSBAmrLdHJCS7pjBPrg6rHUn3Z/UFHsyIvPdiMd3PrDk9et5FREJ4exweoG3wfXYtsfeKeaQ5CfQP3yRLD/RxmvewvHnz5s3bVJj/wvLmzZs3b1NhUw0JtjqVo1IimJ+lsjtknthrpNqgh3yJRIYKV8UEjWXBS7CIVCjwe4FUMmwsU8P1xUIVGbOeSJaYIceHeC4oWHD6DBAsOOEjUpMwOQMQEUNugYWIaDzaPyalwLISR4Z0JotxRHTgbYkQrPoBGcB2BpTEc4uknE3zghbqTn+tp6oSHMdhkwIS8QZpF/oZCfOCLsUFoR6CBCOb9JLisDThIJMUcjaxJsFgSMtAcWKToJAqs+1zEkRNSDjJAdajGL8sGBmfA0qYh/FEdBgeA5qbpKGfrGSjAa2zruKzISV1BEQUcQwiSCFEuujofI/7BOniZVGfMc+TYbovgOliRvVUN5TP7aOM9CaY21CoXtWiHNMyz2n7EbU/zBcS7Ys4yI7nLNQUKgzdATob0RoF4YahObwPvG9OHePwWRqj9n0gjmQD2JwhW/Q54kSK2n5izsZpCBbvOeIkkXp9QGs1B1WfAq8pfZbmJ9L3ERGcGA/yySSUj2Hew/LmzZs3b1NhU+1hPXPnitxLHla/Z2jGo0235c8jLTN5TjapI+dym0+rmyMFfCKpo9K62fvA7prV2qGzlyBdaMR6kKEbOGkw2yOtSIF+QRswkTFdd8FMsIBnBcq7iMg9HzHq76xoEGM3yASCEbwFSRl7PyOVb2NPNY+U4LSRZs/K1qNKEzGRFPIt1Zaj0IJIVeKRFPBw0al9w7sOyGNE/yJKWDe3bNS252puT9kdmUZaNbdW5hrmervvFgs03QqsBVc1z+zdvm7L7pksiQgl+xOR5QWjpM2K8GiDySPQqGuQ+sTahqEFb5s3fWdlAShcsLbdetcozPOBNu5jVQtoxrGCBepuD924cQjPygdQuuiO0wrlSZ07M/czFafoDaWL9b5Twoe+HVP2WTNRJEkRZ2UG2JZqE26vOwXwww3Vf2SvRtcl19/WZ3neodzOmodLjY7WQeokyj4aUd+hdFHIoLWz+gWUQnhuUQ/eaJnGCn2/ItULHUIoc4g4cggroGD+WIkEWoaMVuDzwMr1JY2heYS0KKEKAiULEZH7ApMpoF5zz25vmjnr0JrCeBuk2vJgdU7CHou1Prp5D8ubN2/evE2F+S8sb968efM2FTbVkOBD7TkbNS7i3Ol8neCTNYWN+KAWB6YVgsH6EMR19wFqY8gpVnirsEUH6QoF5jJUIFjwVfRgNaF0AfFZFufFQX+J+3dUeg+OO5mkY6QA8QEGFBHZ9yaTBPI7Vz3PlkG5YlJPH/ImFCdmVeBySHEVQBN5bsvp8VgSCRfpnEYBB2wl6xVxkGkwb97pbN3BeoMjBlqJaxTZr4keOR6qq+KzHKsDBQcmARxBTBHBifmagUBYZHncMfDJwYpLLxIrSSIk8sHhfCPVxpZ2YURKCoCIB30+QDf1Ie1Ed8gSLMYYeoIaAZMfLCGCx61t9CgtT0dVJbJUCXpDUrVQGHNI8B/imlg5A4fqnK4EwsKcDghEkjE9O1aRWiYu2PZBDiForq/KHgz/tTpmXTA0FmSoLAyhFkHjHlV13kndAdlrOIUKjJUhsEay0ouUaf10FHIekXoK3kfeQtCUzkbnp8jKIVo2JgJMX8fD90Fhg6HirqYByRJgHlYo+a3OH6fHmZT0M0JQaNTW9Cf0ypC6hNd0T99tp0hl3bJEPS9+682bN2/enmI21R7WVrsiEe0AiyA/EBEDG68snb+Y6d26KQmJdWGJE5w9Xu9jXTx4C0xrt8QOphTrLpxp5SAnFDv0bBGkEKKYoj4kaySvBgoSvE9BG0ywgGf19Eu+YsugklHMUCrIsVLAhlKKacVAf3HseBBS7KQp7FaQgSnx0Gek2+DRsQc6mk2SYTgRnvV8aZeJ9zzuk1KBeoUcnW+j94m+nEVrD7vqsRWJyq003E7L6VgW2uph0bjHZTNZMfVlgFwsGbRtXivSMc92xbRRoFAN6zGxCoX2mduChmOXPQMoFTCtHfRlpqZj7bMeXyWtAgEPK6HqoXPLbYxK6hEMSKMvSo+jr3OLsAROxmop51QvKNFbBecRhS2l3zO5SesbMRtonE72iXEw7X8rUO81K7SADLTuYUDepj4zJI9ppCgAe9lY3xNFdQYZahQT8g5DePT0bvH+xlRvXqnkE9au1LENcm4uQv2bySEL8PZCWlOhrstR3a3HnIZ5RAF541CNSawz7V+JvLNuwYVkPA7zHpY3b968eZsK819Y3rx58+ZtKmyqIcE4ytlDeREHjeUJWgkylGSRLmS46Nz06op+dxPUFmpKjWKfoIA86nD3jTUeqdihMnSrS1MM1QAOuUKzBL1YhQ2G/YIkRMBkDqtWMUqXxRyToUQITkMCwdwDVzhFDPSJkqRaIkShnYYqOP0KIDFOv4JxsCKGjfFilQEQMeiVWVKIjofjXmymZ9Y4BfOESBeIhWMYB1BSvk1wB+5nVYAY3eT0L0Himoh7ZzwXE1UeyPUzoEiOsQMyRoQWQM5QHmBIx6bNYDFUQGlDbgs4KsHSCulw2ptIM2Fz+9ZKrqMQAGZRWSsKzLF9mO8KlUGAmGBHS7IhtZG4mlSaCEitwqomMJkCUGhCnFivhRkQJ0FZMkwLzUIdg9UXolIanrTXGOIspeMss0RqQb5iJQ5bD5QuON3POH0/RLNZmNbeRxAnYLiYYWFA5DmCcfEsKcQAbgwIvo5LSYhexBGs4hy1gXA7Xo/63vhdBcOcBFnr7hjmPSxv3rx58zYVNtUeVqMxkFbsqMWhHv6FtDuKkXiQSBej2TSNcrCoFOCa253kNKliSPR3mxaDWMbQshs3M9QiaqQlaA+8adcFjTPW7dNdU54CwCcLE+1TmrgB+j2reVhtQE5roNR1JljAs9r7m04R4773mjJWsIBHNG48OgUVShw8x1mbzCy9xMmCmfs8jS0sPUp7GCLt2i09nzxv0N7LVRfuEKvu25i88UrNXB+y3p2+H97xYmqrdRfZ39+mHgFpBFZmzQsc0HyX5o1rzlR37IyLDVffODIvE8oZM01H5wdVOpG+Q+d7XCTKue6W80SpDnUcVVIlAIW81yWlCx03z1m1bJ5hSnxVqcpM78aheqnk1n69Yp5tkfdhkzWWOVOpabdUoVw0aqBrs9cyUE+xUnXj6aonxqlW8jruHJMfoHlIHmitbt4ZRXRIrTZMtWs9X3oW42VKPhIn5qldgDPlshtjVEHCyiAxVrYJESLGqm/I73GkZUWad9Dje0RNj8v6bivuWdDPeR4B6nQ5VELnkddFfw7MMTfGesPM2YjGgb9/9ar7w7YxKEicT4/1WOY9LG/evHnzNhXmv7C8efPmzdtU2FRDgiIiuQoLYprh5NoUhzXOOCgtpWFCxKzk6NDcevZ8wIiYJ07vgTgEzpwA6IPjmwYZShdaT75Hh5PIEspvB8+AwMCpOvAo8xxwhkvwmmSga3gWMKCIyKnvNvAgEzFACokIusx30pBpfgtxWNRGPt0wIEakTRERyWscGyt24B0AjmF1h3xL3zeTQ/T95Pp8aG4KcyyGmnWAnhH7AhgjR2NAbBvDPEiRkSC54DofwoMMw23l0nCVHLX2Ehl1tY1EGolM3BV1pNcAx+9AoSHI6icLoNjMt+l2eS4QX5SA0LSeXBYhgckrOJjPGA/KWJkCaTMS2ZIBFWc8GyQyPUfp8ei4uZ+4HCXaOPb6CahCxKkl2k09mV57XD+yOXOfsB6zshBnzl2i7kcbQ8a6YFJTRhZryVAlyc5qbH6ywkaQi5OpVB7DvIflzZs3b96mwqbew+Kodyj4RzNut1cAZZa+8AvQDaSva9CnWQMPtPYcOXHwoliFIs6ntQRxPUe0aXgVRaJ8h6D+8oZlkiqS0hElW9hEgbSTx3jIMwGJg8ugJMEKFvBOmGCRRcQ4cKUpY48NFG7WHEQ9PEaIsWU5AewAoj6eR+UeSLRlJn694dJTIEUJ5Z6UQifN5sAOkb0Kq2jAShfqRXJ0vt39BWnvh/XzQCfnMUKfjftid7BMa0ef6FAdW0koFfDOFx4GH8zbzwG3pYflCc9J54C9lPhRNrisrjC2faHdf0Z9zotjkkIuVWZp8jTfBSWKQI+QPYhH84ATY0CKm4z3GAY0butFsuedQd3Hzwxvk5MRhtpX9jYx7iBIv3B+31CYgEfGY4WySEAZZdGXxHs8agzclxynPFGCDN+HhxPtZsy3DUXgv1d27acVQ3jd2rGxpxoGmeECxzLvYXnz5s2bt6kw/4XlzZs3b96mwqYaElxqtKUfz9r/xwWND6GI8Ek1DcHAIw0rrjBW2GpSo8NRPdCdzKeJAWNKx2EJBBlxUBG1AaWLMeF0IHtERfax9QeRCUKND0P7LEKLPgeP4VojRQiEbEWI1MDapdonwIAiInsvNfDgd37HpSaxkCpvewAtcGoUJUJwJmFAmjw/NgUCvYNY60GEPcMtUPvgcUN0mMkcVY0JmW+4DKs9TdfRzjn5jRlkAy65jgKSKnJ6CIVKts06aZODg/RHaXHWZME9TOoctbqJwplQaglALxyfsqljamqfmmUXH2OfyyAacL2YqwbVi/QedYrBQSZfzrILKGeWsjTjvjGNBxltWYFkq2cEezmT70LVzP160UG6Y6QhoTisBJFFROo07nzG4f6mtrWt4TIOr2i9hUIahmtSptwjWyYFRp1ij9Bei9IWIbtukeKFkMG3T5BpRbMZ86cQa5pFm7d0zXEm6J7CdEiTwilKkKaFU6ggY/UsjQd94mfRbqfoxtPVeeFUPUhjM0/vG7ZK0CFizfi9rDTNmirVXGzWdv1stGkea/rMDGUcvrdfkihOZ5I+lnkPy5s3b968TYVNtYd1qNOUcY93ZxrFP+d2HaMNo4SRISmYSHcB4gLfFyIxI1HO4Tkw+SCcMbuYYovk/7GxYOm0qu6yOAVEBq0dxAU+wIcXEWdsMUAYYTq49frY0xmmvTNoA7KCBajrPEZ4Vk//dZea5N73Gw8skX5FKe6lzay9EO+Qlf7OKRu0zxyKgM1d0DBzh0SAIiL9Gd3lMX16zUx8QAojg67ZAW7SDn2kaWlCStbY1lQeE/KWckpsgLKAiEjUUQJIue6Go6SQmDT6NtrGmwhJT7IXmP4lUnnYg35aA0oGQWLGrKSJbEP1nHg8SKnBdOi+qllw0sSCjpFJJJjRTXplJfUyR0QWQN0JFQathw/t4U11+wRDqI1I9aNwlB5fnEElZ/IDkjB2ySseaXJO9klBA0/0Sdvt0BqER9SnxIN4Ik/zDi+T52yo88iemK2P1h7qZg+Z6xFJEmpAa2eiA+aYSSmoI59Pe6xcP55t0bOYx6zEmZyuBGuU30uga25M62yjYD5LQ1JFGWgbo5pbK5N+IaHH+FjmPSxv3rx58zYV5r+wvHnz5s3bVNj3HBK88sor5Td/8zfloosukquvvlpETNzD5ZdfLtdee61sbGzIOeecIx/5yEfkzDPPfEJ1bx5qSpngBMTvMNwBiKbUSkNPLIfPpANYYUsPTCmmqLfbuNjFdYJvyhmCtLk0IQAxP5yCIg40ip2EbvP99D5irJl3kQU5zogOL1C9OcVDRo6T4lKEdB+dnAEFi0Q/tUuAAUVETnuXIWI8sN+lKwE8yYQRF8eWJpZkqW9wXBdSkky2mRvnK+5Q+PAhMzhOQVE5rBDMDMWLrZs1MjhCMA/EXRNtmfuKTNABvEL9rOgzo4GDBGuanmbikhDLpG+uV7YIcqopbJPxCmLK2FrS9zep6+F++vbEdOYRY5cgwJhnB0U37oJV5HC3DRWCLpDyC+DlIWXy7ZczXhbiDQkWBllpSAf9g1Ia+gYcXkjE3cWJOvijYOF40sXF5+FI07VVaCtsRd3E2h/ReDDHrBrTy5vrrILTbmjdDIPpGslT3zE/PYqRtFA+QcX4fPcScH3yPhbIseluWC1Dy7oVN2585iYci6dLit8P3vOg5p7F365e0c2PTaVEnxEcJ/QobrOypmu/6To9KJd0rPT50vnZKLoPSXkzJ+HgBBG/veWWW+Taa6+VZz/72YnyD37wg3LVVVfJhz/8YbnllltkeXlZXvziF0u73f5edsebN2/evE2xfc88rE6nI6997WvlYx/7mLz3ve+15XEcy9VXXy2XXXaZvPKVrxQRkU9+8pOytLQk1113nVxwwQWPu41icyjjkvu2znfUg2Hqs/7KunxQgUhSr9UzoPqhdBFm6PFxOhDQq5mwgfYSnhBynxX42Ujbouh0ZV8n6gOtG8nxiCJu76FdDzyTKJHo0fwcN9wz7EW5Z3XnyzkWQH6gnRo8q5P332TLDqgHVtqkXTP6StsjpA1JJGvEjpe0CUGFD5Wo0hmTl2S14Nz945m0FxA29SCfktOB9BARDRwJITldCd6PsJYgSDMzbqs/HCqZgtZUNGMmK6qkSTYJ/TXs3MlTDAbJNljLECoMXDYGsYNDG7AxpxQqNvUOuZFBEQfzGckVqU+FsqbAYFULhIhwYkatx5KMRKSgdGhOq2LVJ5goomQZqFAEGTqUTDkJFbVIpGYBTT5LGYPnAnNGc5HT62PqU76RTnWC/o0psSbmKs+JGTO0CSfa5xy1iwSdVpWE7o8wn3Q/1Fg4NYollPDHVucvpkkbdZVgQcQk26dqOh3SuE0fUmiuUrsjZZixzmighKgxESrQ/wKljhmWKhL1TwAP601vepO87GUvkxe96EWJ8gMHDsjKyoqcf/75tqxcLst5550nN91009HViIjIcDiUVquV+OfNmzdv3r6/7HviYX3605+W2267TW655ZbUtZWVFRERWVpaSpQvLS3J/fffn1nflVdeKZdffvnx76g3b968eZsaO+5fWA8++KBcdNFFcv3110ulUjnmfSzBL2KgwqPLYJdeeqlccskl9v+tVkv27NljxTNheQ2/Gm26w8Siwnk5CsoARMUHpvA1OZbJphohVCJn66ND/W7aUbWHnCXyxYcQKGVyhLr2nCHXCuxK6j5AThxLlRUoDuguz2KWeuhZ7KQPQvlQFilCGE60UCinEtH5O0BEjL0ZRIwIqRCoL3ZsLMyq7z+XkXoj4HmEKVTBcTk45A07RLwpZzxr66ffAT9xAE+UXgM20zEfgseSvi8rbQJgHYbQcFsCjw4S7TO07FJwpPuUsKz7MiCnzPbteBgOT0NOqWt0PSumR44SPj26PmRftmXcFmKzGPbU31lk1TIWeIx4jfxsVvcy1GJQwjFc9r6MOsJJxrtly0oxg9sBIfKxRtZ86zzFCYZQuk9Id8NCwI9mWX1KdCDMuM+S2OizjPb4o2dTkxw1P1lzdAw77l9Yt956q6yursrZZ59ty8IwlC9+8Yvy4Q9/WO666y4RMZ7Wzp077T2rq6sprwtWLpelXE4HHHrz5s2bt+8fO+5fWD/5kz8pd9xxR6Lsl37pl+SMM86Qd77znXLaaafJ8vKy3HDDDfKc5zxHRERGo5HceOON8oEPfOAJtRWO80kKuP5anHFb5EjVJ2I6NwT9k4kT5SOqEdhkd0rvZw8mg47t1B3crmOikmkBq1rogWWedvAQCOA24H0kVC20PZAk2MOytFOmAFuNQhqOekRM4wVlfzRLpALdG3CKEHh2rGCBeeRxZxExDr7NlE3Y4c5l7NbBbyAON0gX2LEl9PNq6cSDwZoeXs+5SQ6O6KEw7Z4D9VjZyw7hOfF9SOdC3iao2ZMiKQroZQ6fGCjZIt+mFBQ6Z4nEmiAusKeo73lSVJJNkV/uUY2KI2lwvdYbZzo21E4mNI9Y5+N0n5ggNMauOkHO0Ovcxghej5ufqJxLP4s1zSov5aRHmaXskqB363jCsrsxN0g/ZJ0P0uzEfexVYa5yPVJjgBeT8M6CRPsi5B2yhiG8KZpHIC3crn0v+NyO+HOmdeRz6fspXQrIQklSl7YxTs9PRH/+QZNPOO06zzyfIA3xfUX9+zOhlxUBGaH5gecbEhknN8g55Olx2HH/wmo2m3LWWWclyur1uiwuLtryiy++WK644grZt2+f7Nu3T6644gqp1Wrymte85nh3x5s3b968PUXsSdESfMc73iH9fl8uvPBCGzh8/fXXS7PZfDK6482bN2/epsD+Rb6w/u7v/i7x/yAIZP/+/bJ///5/Vr1x7CLdkw2kY48SkFuGBwpvlqPoAZ0FcQZ8khFGzyQJez3j0DFxjg0IoEBQBTIOJ55N/syqg6EskDgY/rOQIdcL+JHrA9SU4/okZehnRDFhIFgABhQR2flfDDz40G8SESOjL5gzhjHtPCKbK79bxGHxYa+NOyG4JYMQgbIEGaeYtZYy+hmlyyxUyzBdxgG2JdckSAr6/mgt23ULwdesUBUm5WSsGZSFxXRZRASnrDQt9hpDWVmftQxGgIWX+Fmtm8fo0uik2R62Dib+HP2gEHzOJJYMjg2WSGIu8BnJ6ifP9zjjD0aUHo8lHUwy+sLrMUvIGnA0IOgS90mvxek1HWeQXRLjn2A89CzWCq83tFvgd6HwKAt9g3TF49F6EpnZM963/WzwZ2kSJNfEY5jXEvTmzZs3b1NhU51epFgZy0Qomr6FnBp0wIjkgWXehZufvIuaVNNeEogNTOXGTiixsdEdAnsG7pA3rWjAagiW2EHjsrvGDH1DS0KgerFTzPIO2Wyfqd7w2JEHSTar9aISrqV2gEp058UEC3hWJ13hiBgP/AdTFmUodrA3bPugh9CcMA9EDKZto76YlApAzsjVXcWRXp/QZER1JXHwQToO3Gm+Jzhwp/rCqqknpHeLdidMr0Y9THBAc+Sd2U2ntpGjg3xLfaYyyxAfZfWd7kOIAVH94aFGpbTSBUMJxYoqd3BKGHweyKuItD1WZrBKF7m0UskkYKWLMFEvR7pASYJTs6CtAik02Lljzw1zy3OMX3guoDyTc+uioEoXiVQnUNAppZUu+L2ATp54V1CV4PvKSd8hofBRwefMlVn1i0L6c54Iw9HxMMEj1D4nlF8QXkNlWAOsTYgwHb5votqjSDIr4t5jQmlH1TEKrPAxyUlUOAGULrx58+bNm7fjaf4Ly5s3b968TYVNNSQ4GRckzxx+hEFwtk6F6ZIir3owzxmHVSUjK6qcD89xcJjQLkW8SyIVAirm4BpAL+n6EvEPNnI8qy9af/psNCHwazMOV0jYEyodnDYEc8DhMRlQpCMTZMQPEQzmFCwoHkjrBgwoInLyeww8eO8HnEqGPUjm9kGGUaHOOmUc3gCkkhHLlZh3QLYjxkKD5P10X47TXWhm2ZigZ/sO+hzHov0kDMvCNnzwbO9PQ4IsUGrjd0A+4MWAmDReBBnjsXE5VC0WeDxgSZf0QbqrhCA0hcniLBJCRowSw1AWfmPIMpcmBNh+IQ6Lq0X/uC1LnKAYpRFilDLg6wR5JkiNx0KRVBaO0h8IOzZ+t7pWEooYWHs8t6OM94f2rJpH+igh8UfHvlsaUIbChz2a4HcGgkWQsaay/ubw+0HfqetFjDHjvsT8qIxQQp95mEvGaj2GeQ/Lmzdv3rxNhU21hxVslKxWoIhTqTh5YcOW3X1Y04/Qth2JDiNKNSBtc32yQIfb0K+jZI1xQ9MfrBNboGl2/cHBdBqJ8tzAlel2ZxSRzJR6CXHHPRtik8k0UaSqsJW5a+HIuJHRHBFQkMSODpQj7KgS7ly6KKpqugnaCcFTC4/WAZMk2cTu7jK8HiZYwLM67Z1ftmXf/c/PM9Vyu0oeWd6+JSIiz154xF7b6Jl3W8y7cW9pksaZHR1b1rt7ztRFOzl4OKyrOJmkd+F5dejiiXs/8NbDBLkHW1kiw6hCQIHaiDM+cZlePZLx4SPKu+ujiCimjVziOX5kUktTkJl+j20roxDQ1MRaMBWlPcYs7wx6jhGRlbDDRz9FREKtu0jqIJMGKPaSqgMKGkz5xjrnqIsi1n7GvDKBCqotkzp9RpTgkOd+ZvyZhJfNKhARPmtUlgOFvZjuc0jtWtWNItAfGncG1R7vIKR3C8UQrhd94fAfIC1xIf15CBtpr50TvuLzGFF9RdUejcn/gYOYUDHRuWfP0iRw9B6WN2/evHl7ipn/wvLmzZs3b1NhUw0Jlnd3ZDhweFRhwwznOwe327KixmZxbA9ggeK6g3ngMufIhRVAPzXnnue1jQQhYlOxLkbL9PfhFgUkIeqcD55V7DPHoQgZcVj5IzpOxMxwbBhUINrp/Ue+RZWoJ86ZhAEPMBSKdCkMEU0U/soiZLCYL1KEZClYsKEMMKCIyNN+4ysikkxXgnpW1mZFROQbVFnncN38QnEdRe1z60jd1bHddLBcdx0d6boZVtz6AdwrQ4qtUdg4zxlWO+aZ4szQlk3Gpr2wSbEos6a9USNj0tjw2jIO1YtNU0eQkaqEs9gO62YNxhmqAXkSGwWxg2OKkCE3zFC6yBM0VdRYqgnFXOF1hwSZTnR9FyhWp6xZZnvtdNaFUYMgNMyz1pvPWDxcMlYB4sq8g94H1XRwH/rJmXKHM+nMvwWNCQpn3XgqVdN3hrKiEMQJgmUVmuY5A0JcoJirwVwpcb+Iy+LM2YrttRCxXOn7izQevAOeM6QpQX9FRCaaBbhQoThCrDcqw/oadmk+taxYdvcNVOk7ari+5Otmzpiwgnmulh2A2y9WJOpzPp9HN+9hefPmzZu3qbCp9rD6azUphvQNrl/cOaK1QyeszAe7dVM2bqTVL7KS7pXX3c6qe4rZJeSPuOtWA49Tfig1OibPJVDiQu6g87pCUHtZ6xCHrG7TKIM9ZnD5LfUYiXoNjykrtURImyP0k2mqIEzk+VmQPjjBpXqZnGgS7fJBNpIvcooQtJFQsAB1n5qAZ4UkkCIi973XlIX6XuYqruKHsIOnSnBAPKGdav6Q2dWP2kRD1zlIJM5U8koy9YdSlUlRADTesOvWXkmJBqUtVzYcmHaL1AZCAHi+LcGiTp48iAvqIbM6Cvo8ZhUBnfcCe8VIn7NBrBjoTroSy5dIprgB9dmV9aEEkuHF5YjQkivicN21262UUvc5TUaaC30GhAxOH4R1xmSkHJCMcc0NUZEG7iXmPZi4DwReKRMcQl0ivAYG6r0GvC4yUIOJjntMawXrbJjjd6vkiAxSiE03xIo7YIjTfVgfEyalTNJdG0MPldYghhsWmUikfcq7+Rlr3YkEtRBqqbp3C+JSPHSfr1BJbIkh6rODAiXY7QcSDbzShTdv3rx5e4qZ/8Ly5s2bN29TYVMNCQbViUQcEY6DWroHgoyTPsVrAQqkw0mERsUMCcZwu6lID7DjAsVcFdP12ViHRIATIDSK9VKRyJDgt7ye5SeEYY9KSRDNkdinBvfkOM0HYBkWpFRYYDRLcBmyELNaBSBOOh9H7Aud3VrhXIYdAalmQZGJuBiMg0V6tVuAAUVETn23gQfv/6NniYhIe+Q6FWtn8nS4b6FdagxzwfE7ASA3zs4K2IiFQvGuWBdWYUeOUYoARTpkKiH8eXQbPI82Fo76gncPaIzbt+kwuE+AiKr8edA1QGU5haNYAcXWkzFnCSJIIf0iAadFufQ647WHeENWSADsmCMSUNhA0J75MWkSXIRUPKTa4DJCs5AsYuK4La2fYpQAq/MQEUvFKhBWjaaafp9JclG6XYuJsQqO/tW1cZ5CajoZ8Wc2RovWB4hgiTQkNpUSvR+8Zx4P/pbwesPfi0qa9MFwNJ7hv5P27xQjpniGky+jjJ4Nw7xEUca8HsO8h+XNmzdv3qbCgjiOH//X2wlirVZLZmdn5fe/9iz5SnSWLf8/3za/R106ZMYJIx3C12cNm6HXocM/pWmOtsitAA2z6ejLgxVDXy4sOkbEBBRTonqO16Cw4aqzqhM84yCFNFwb45HZguXzrs/jnhlToAf9cTW9e2Xlg7yqb4QdNxfQ40v0KUs/DjvFLaJ8qycYEI02p30P+0QD110jp5uwW1jqH/oCBQsRR11nCjdoxqe86g4REbn3un9lr03axWR/xY07IiWS/9/zvi4iInurh23Z6mhGREQODV2W65OrGyIi8vBgzpbVlbNfJe7+ge6iiIict3CPLfs/h8zay9F2/dzFe0VE5But3bbsGc0VERE5PHLtjpXlsquyacvu6iyJiMgPNA6JiMh8oWuvRRkikw8MF0REpD12cMBcsSciIotF9+x3eybkY2fFzftswdz38HDelhWVCVKjce8otkREpEeuf0VP+tuUp+aIUvyXy66NpYL5/dBk1pZtqTu6PnYhCM3CINF+hXLmoP3V8QzVYT5nT6us2rJv9XYl6hARGavrvaPUtmUPDsx4G3n32UOfV4aun6dWjmh99PlWVGNt0rBlaK+Rd38beqH5e9KksodGpt0lHY+IyFZoxjFQ0sm2ouvn2tislVliMmGO91TWU21F5Opg3aCOYz2Lz8POkntnsG93d9rfF0rdVP/+4cjTRURkpuT6d0bdrNtO6P6eYp6Xiq6Nr7SeJqPOSD71r/9Qtra2ZGbGvdss8x6WN2/evHmbCpvqM6yX17uykP+G/f8t204WEZH1ktuxlTTYcbbqdjiNkvmm36xUbdls2Vxfr7tDiJFyTH9k5wO27Cv5U0REZNeM2x0d7pr2Tpp1O4d7cmYny8GYVQ2e5F14qN4B14frrFV335rZQedmzLVS0e32SuqF9EfOI1qom13z4aLbAc7WzQ6oRAGLo5BP/IwV9DxiveHmAt5eldTS55Vi3hmnAzUj9np0PJx8EarrrA2IoGCmruPMCp7Vaa+53V578P8xXg08UhGRnYvmHaxXXd//3cItIiLyA7Szu1939yuTOVt2RsnsCm8d7LFlTyuZnftczu3Cb6mZNfCS2r22bKA77oW882aeVXlQRESeXj5ky36o8pDp+8TtJLFbn8v1bNmzq2YX/qzyQRERafKa0Z/85u7QXfuYSot6577ihi37Vm2biIjszru5qClPvF136yevbviAxA9/oKifm8h598gtuB65drv6zKkF5501AlP3Q+H9tuwwvIrYtbucNxqQY/Uim+RhbcubNtZDt37v13k8izynu3Te2ULdm+/JO43JBxvms1EPXD+X1KN8hDyDfQV8bt2aHmoEdpfOX8bq2dToXQ311yZlL3hkUtC23Nja+nlx43ZjPKwHwnM5189N9XJ3kQc8AG2cPPA5/SwPCFV5JDRrf0/BrbcVHe8e8jZh99A6nwmGqb7D89tddB7bGcU1EXFrQUSkrh7qTqLO7ykekW4plE+lWs0272F58+bNm7epMP+F5c2bN2/epsKmmnTxpr//GbkvPsmW33GngQQrh5wbyhRuWG7ZwH/hBhEs9LA+7rlnQScNtpOb/Ig5XA6JbpvXqO5wm3PPg45SzRfds8GDBgKx1F0haivTY8vpPiOxHSjXMenDWRIFkRVAXIj7adSXI/Yt7ZVWQb5lnmGKK6j7+Rk3xlA1yQIih4gSIUDS4OtMxAiUKFKfcVAttAEDpqmD/6305eqigwv3/F/fFBGR+/6jo8FbKj6N59TnGhhuZ83BYJsjA4swTX533Vx/oO3IB7WiGW8l7yDYla45wP7BbQ/bsi8/cqq5j6DaU2cNRHJk4CDqpaqBrtaHDrIcaJbRbVUHVz3UnhMRkZOamyIisqPirg3D9Dt9uDebulZSWGmx4mBKtDtTcvM+WzS/b4wcRD5S7nWNYL1teuDemtBBul5fH7nxtEbmM7Kb5rteMJ+D1YE7/G8RQQRWUP55QfvO8PlyRUkXRJQ53Dew3mlNJz1zX2dB23R9BxFhpujGvanjLZCsxGLZjHGL+rZcMe9sGKXnvR+S4gP6TIsP16sEoaFufqfoC/pZJ6gP9/O76KliB/pr7kuPZ65oPi+rQ3c0gPezo+pgVHweliquDLA+1hb3oVZw4/nOpoGZKwW39k9qbIqIyIDWY1MhZZ6L77a2yaQ7lL97xTWedOHNmzdv3p46NtWki+VSS9ZC8n5As6Zg1CArSA5lpCEGheWQ00trWS4RWYi22PtAYkSOikz3F0GLMXkQMknvGSzVnB0tJHrE4e0oY6/BfdffE94UvB5S1kY/OSU4zns5ns8G09IY4SUFND82xXiWt5cRUMnJF63qOhM2dK6QpJIJFvCsTv0tpz14z0fOERGnJyci0tRd9UlEG4dnsJpzO09Qdkd1Nz/YZfJOtj02HsZy2RFlZipmHfJa2aM0+QHtwnfoDnZEJAWQXHZVnUcCrwztLpVcW6Boj0k6H7v/zth5P/Nlc6jOu3X0b4n63iig727BwTPADl3EUcLrBed9gK5dp8P6tbyZU8yniKNwM9V8oWS8hC5FmYPij2eZwj+vNH2eY3gT24l0sVEynsYseVPw2Hh3D+MyzEuBSA+guvN8g34+IWIU6snTPPZ0bBweUM4bD3GOSA8lFkgUkTL9H+uXyw4OjCeyveS8tOJR3qmIyLaiuc7vFp7njnI79SzPIzzGNnnU8Np3VzddX3oz2k+3BjCPPGd493iPIiKrpYaMx16t3Zs3b968PcXMf2F58+bNm7epsKkmXZx0zW9LPnSQTmnDfP8OdzrXGek4Kmvuu3mwLQ09WSMoC2kcilvuvv5O49bWHyJ4YME8w6kdAMmN9zpYIlLViXyHICclNhQ303sHRiJHmqYEWnBZ/QyYhwFUkdNSTJD6g9M5mJ+c2iJQhISTNULzj8+dK4dNX8YznDohSNRr6tFnOVwL2m6kz4aEkUgRwn0Yn26gqV3bNu21g19fNnWQPty+N31VRETu/uiP2LIs/Txo0CVSsiCdAiXxxHukTBlS0DGO59yEczJQ2GRG3xmtC+j6BRnpRRhGBgQLLcGYdQkzSDa5brp9eztD5KM0HA4Fllw/XQe3a/X6wjT0zekr0PeItPJsWhNOL2Jh5ow+A8InJRarFEPV4l2FpK2Z31TSEOvs4QNB48Z7Yd0+tJujtCYRoPSMvxesOxnjA8vvKky3G0AbkMlV0P9DdRlwPL8zQPhxJUyVseGdBXz0gOGwtuYwo086nmCQsS7o3Rb1byyh3JaUBuKaCK0HPorp5CUaDOT+33y3J1148+bNm7enjk016eJVz75V7gpPtf+/426jUFDYcMPCLqu3m2joSjWfbLotf1A3OzSmtYOAMVmmFNor5pnO0+nw1qqw025nXendtEPEbpBVrLFDGtWYiJHeldk+YZdLm70wK326khUiGg+UqMe8k8aOinbIdqfNXBPd6Qc1t5Ptz6R3nKHS+YM5d5CKOeC5xdhmdrhDY6S15+SLdler2oCsYIH+McECntXpb7zZlk2+YMIdnj7jtAQPD4xnztp7oJzjEFnEHTwzpfhQzxyaP2fR0dr//uHTTF+IRHLmNqMb+EB7wZYt181h9MbAjQNU9L0zjpp95xHjPZ48Y4gby0Q37oZpZZENpatvDh01fa7cT/Ud495OlGocwmfR2pkMAFLI5pjaUFIGl60P66k2cMDPlHSMm+ntIFSACDIh0gVo7WtE0e4oIeCk2qYt+27L0KzLhSSRQURkruQO/NFPNtC6mWiAdpnWjvlhCnuCnKWG/jOxY1XfAZNCoHABujoTGLpaVqE6QEPfSUSdLvUZhvezNnJjRRgFv5+DfbPmF4hchD7f295my0Ao4ZCFf9rcISIiRVLsB62d35/T5XTj+PbWkky6Q3H6J49u3sPy5s2bN29TYf4Ly5s3b968TYVNNeni2W94n8SzDorY+iHjRr/0rDtt2Q33nCEiItGKgx0AbxXnKUXIEa2n6dzVclVFL29zMEZ8tsIDD1D8zulG0WDrm4uuvp2mL2ed6sRdj/SNG394w9W3fd5AEI/c69zuHA5A6VB059MMnLXZNf0kHU7ptczYAoLSAAXOLRGU1DOQwbhFUCgObxmSxGErtVHR9CeDrns2t2Z+Z9UPe61HsCPOz7kNPUguEAFlst1ABoXDrg0klnvJC24XESdkKyLy/vt+SkRcnIqIyNdvfZqIiJz6LDfvhRcZ8eIjv+oUMQCpTqoEhY5NW8M5V9Z8wMxpWKbDdd3mMbGkv0OFTw+6dzZSyLRAyqMgWCTKtJ7uEsX0rCkEq7cNZ9NEGcp2IZNakHhORGSwoAkuR+k4wrBCL1cv58cEbymKOFh09xX6KrzcJsHXuhIXCgR969gYIQOyy/OILCHVQzQXcbLe/JAqQR1Fnov0n69SJ1021vnhzCxoi+esu2TWI89ZWEq/R5d00xWhX/xsnMGFgZ5vgsMBzkVa5MYSfvh94z4mAxW7pt0RQfXoe+2wq3jUCBL9yGor0d80spqwUVPVOVYojm8xp89SzNwAfUqOIxwN5Ou/f5knXXjz5s2bt6eOTTXpojCIhfKnSVE9Ik7Ut23eJM9boUSG0KqrV0mvq6mHzBW37aipekE/7zyiUxeNN/VPh9wh5kzFbB2OEJmipH3hQ14cYLcH7nB0sWquH2y4bUxUVN1ASvuNVB5jTQeSUIhQY1+5r0SHuZpTKkAqk5DysyNdNrxJEZEc0tzTffMN089N2jYPjpitEmv/2TGE6R18rk5jHCkVlmjO5bp5H6O2W5bwMvFOOUUItAFZweJrlb0ikiRY3Kqe1eL/cIoY7Z9/nqmfuomdJIkSSKS75nKLPJe5XLpsQcdDnyjsyHknix0newl4przp5naiHlBRvZryVtojY28BfWcPptCLE9dE3O62vEnEH1VP4d0w2ii6c3mpbKS3//C6Rk1SSlFPjUUlil2zRgZz7HKYZ0odSlRazyX6x323nq0DVTI9EownCN14rFeYpUBDcwYvpdymPqkXzuOBeEmJ5iQsKcWePAi8+yxvk70ZeJJxPkjcIyIi+hHOMQiiY4MHJSJS7GsIRN7NsfV26dmC1lduUYLLmiIttPYL2qdRnd6trhFe+5OKWcA8j/Byi11aZzq2Yo889FpO4sfw4Ni8h+XNmzdv3qbC/BeWN2/evHmbCptqSDAqBImv3FBFXdfGDsIbIAsvR8wPzX1DyoCL9B0cAzTSzKAcj9TT7Loc2d8eGogvR2UTrZtjPbr67IgEXFGWSL0B0gWNdXNgcBBkFc6TasN4bPqeoM/oeLsjh08MBunYMIw7rji/HFmSJ2MHLfSG2vchQatQNMiIsA9InBdwCMeEgXQRTFxfRto/Vg8IVFVidWQOY5EpWMTFojQozgjvBfFGptD8AAwoItL89FfMpVe5MkBOIDCYQvMDkAmXRXkiGmjYTAKiwn00bOh+RgRrYQ3zoT4OzkEWqB5h2EyhXYKDSgphcT+LWt+EYcIhVFmIVKAINUOMDO/AQKzg+yy8Q2sP0BW3Gyi8HCTuA4nDjW2ocCvmk0kxts9UBwgOYybPZKB/eHY4k16XTOwIMv4iAmKMSEAbZYABRUSKbRVqXnCfmyBjDThIN4M8AmIJkWIqGxqr2SDViIqSGogoM6lAhNu1hXfBa8W2yRCjJXHwO1Nol0gkYxA26O+Vvc78mBhwNK3pKlRw6F1NYolD/sP16OY9LG/evHnzNhX2PfGwHn74YXnnO98pf/EXfyH9fl9OP/10+fjHPy5nn322iIjEcSyXX365XHvttbKxsSHnnHOOfOQjH5EzzzzzCbUTlpLf/tjBr1NUd7trKN+sDYbdxKDivI/8lh4c0rc/yNLEw5D1ntkaF1vuvk7fbFGLpLgwmFdvr+f6MtZd5njopn2zr5R0onfDU4tCV7bWMvVEUXqnNOqmlQ8C1ZZr1Rydf9xX72hIh7KafHJcySBx0H3tnCauJC+p3NN+lukgXacgP6RdlDpAE2FxQvOj2HH3DSumf+ypYld7SBUSViZzrk+afJFThEAbkBUssEtPZH9Rz6rxR1+xZR14W+QlZXkf2LXC0zHjwKE5DVGnKkMAIbHjtt4Mp2mBt1cBVdp1YFxHHex9QG/O1Wt1IhMkhbR+H9rgfmLcvNNHfcnduikkx9e2weSDsGz6zwfu8FC5DbwrzVqSmGPs1tkDxuc/QdMfJQkMIuT1UT+LKuoAmreIo6nnyPPHM+wZWAIIzdl4BzQMXdkEnguVwXtMkC5GSY86IWaiLzUsp4okKKc/ZyHlxYQXxesCWU3GRKaw7XIbAQZJ46mk1w8IFkOi0wcxQgGC1LMJD70bZ0lJHtOOu4e1sbEhz3/+86VYLMpf/MVfyLe+9S35L//lv8jc3Jy954Mf/KBcddVV8uEPf1huueUWWV5elhe/+MXSbrePXbE3b968efu+tuPuYX3gAx+QPXv2yCc+8Qlbduqpp9rf4ziWq6++Wi677DJ55StfKSIin/zkJ2VpaUmuu+46ueCCC453l7x58+bN21PAjvsX1uc//3l5yUteIj/7sz8rN954o+zevVsuvPBC+ff//t+LiMiBAwdkZWVFzj//fPtMuVyW8847T2666abML6zhcCjDoRODbLU0K2hfJCYXNlc1xIGTKhu2bKZhgg42Njk4wvyo1V2dvVnjM+dI3LWpzw7zDkdYbhgc4f7arC1bqJp61hskua9xTbNlSi+ivvVw7LAAZKpdr5JKRV5JF0QA2TZj2kUMV7XkcMphVckUhHlBEHeu4eKwjigphcVyAQRWaq4+wI4hHTJjHtvi8KVQIbyYCCAQteVzVBzkRvW0wO+EoJdYY9HikZsfxGGdrNl7zygdstd2100cFme2vU1TRUDIVkTkyDgdjwRYokOkC8CD/V9zihh4hmEMQCSsqDCY18NoimPBmTqnXXCH5OnD7SzChlWXoFglQFOsdWoJEcwX0T4X3fRYyIehuSyoD+Pg+tAXhogqm0o0KLk/JYDuEsl9M3AfHMxzTBrihgCZIi5KRKSyHqbuR9/zrBwCMgUrfKBsQEVaDfczyCClZCmbAM7kGLv80NwwynPckqQMz/CzhYGSZqoaZ0nvrKSxTCMCxDA/HJtl1xZL1GAY1A/MS44+pKo1nPnOmByCNZCIVURfeC60jQLFYZUy1mhUDBLQ7WPZcYcE7733Xrnmmmtk37598ld/9Vfyxje+Ud761rfK//yf/1NERFZWjIL10tJS4rmlpSV77Wi78sorZXZ21v7bs2fP8e62N2/evHk7we24e1hRFMlzn/tcueKKK0RE5DnPeY7ceeedcs0118jrX/96e18QJL9V4zhOlcEuvfRSueSSS+z/W62W7NmzR4azgQR0YBopDfuBvkvn0OoYj4ATiWHX3m+700lQyaOc2w538uZ6gb7WN5R0kafDxCMb5tA/T2SBccd4dNEOV7Y1MPUN+s7bWwvMCXrApJAJdiLu2fWO8fKYag5DWcz0cv293Xfb8AkIE+N0W8N+WkSMqfb9kunzZOCWjM10wu3qzoup6bYtUrXIgZTBXoWSPHKJ5Ibm94cHcyIicuvAbVYeaM+bJutEItEULpwiBNqAvCu0B/esB6ie1fZrnCLGI28/1/zCHgLOnVmXDkSe7a7v0Mjr7yIvUlUImAiBg37e/UPDz+7G6V2AmJB1uM4H+SAiMMHDHf6n96pMZoAnVnBCLdLfnkvVFysPnD227q5cok9mbGnVD8xpb4n0JEFw0GfzDgSRlioqxEQ2QZ/HHMWAriTo08mfIsfQzdO1N3B/QpwnRvT3qJT+jMIrYy0/tJfwsnVsORrbcF5JX/pO8w4YkVEzn+ovfk96cBlefpgmqhy9tniM7LFZ/Udaq+jziCT/oJwxbhIJSQGOsEwpWWbS/YtKIuEw/bfiWHbcPaydO3fKM5/5zETZM57xDHngASNAurxs8vwc7U2trq6mvC5YuVyWmZmZxD9v3rx58/b9Zcf9C+v5z3++3HXXXYmyu+++W0455RQREdm7d68sLy/LDTfcYK+PRiO58cYb5dxzzz3e3fHmzZs3b08RO+6Q4K//+q/LueeeK1dccYW86lWvkptvvlmuvfZaufbaa0XEQIEXX3yxXHHFFbJv3z7Zt2+fXHHFFVKr1eQ1r3nNE2qr3Iolzghy4XQTOc2CmYgyUg+0SIKvo0FacDZQcgLDEiA2cFzF7IzBTdoBQYxaD/cl0me3Cs7HbijpolMiTCNOR4TvmDEqpIfbmpWXhGmtuGzJjRLis4W8G09eCSVhl0gNmD5Wl9BxB0TOCHSec0XXRpxX0kWRT6O17wSPWgiN7kOMWeLAG7FggcNPQiV0IFvp00qr9lqtaMoiOsWNtc9FwjaQIoSj+DFnHHcCeMXCgCKy6z/dJCIim69zRAzAMQyDtfeY99F4MJ3eo8bpM7Rb1SNEfCmlY2AaD0O0VIkJGaK2DNdhPZaoLagSlChaBKKtCYIHPg+UNqSyrrE1cyROvJFWL0A9I4KDaofSwrUgSnA80Eih2hqlpYBuNWDcAkFjUIMYUywVYC0mKVghWfqI2Jg1Rp9AxCC1CChmMOkC64bHjSWXlT6kvO7us3PAH4cwq+zY0UhYHzl6j5gLjsUDOWMwS8cf2r8qpReBAgmElXk8SaUL/WXLtZsl3gwYt/4wCQGXMWfuWaQfScTxxSLh6NhjP9qO+xfWD//wD8vnPvc5ufTSS+U973mP7N27V66++mp57Wtfa+95xzveIf1+Xy688EIbOHz99ddLs9l8lJq9efPmzdv3s31PlC5e/vKXy8tf/vJjXg+CQPbv3y/79+//Z7UTHwVowsPI00k6UoiwVxNrOow8eR+iZTnyAorwJqidWtnU1867XUGpYO6LyrRjgYYYdZJ3/bBKQbcg7KWot8O09kphnOhzIUfacqo0EUdEe9X6CpSGpIB+Ft22MNbBBTSeHH6nbXhRnx3n+cRdf9KzlgpbZF47KqH5UZ83nhBhQt8fa7Zh7qvqYc3RSXUlb+Zusey21/B+aqQveER3e5wSwaZTYEcVv1Pz8Kzmfv/LqbLE+tNnJqS4AGova+Wh3YT2XXpZpOpgwy6YSQ3YSSe8SGjWMTVdvQ/e5eI1F/rsOWEBu2dzGV6A9T4SKVTQKWoXtG3SOrSEEs7rWUp6VokEjellmanVB71GBiEw7sT7GafDCVAfex8h9Ph4blEveylQn+BklsP0nMFL4ZQslmSSkdwR9P+stkaFdJ8SoBMUZQgNcOlXqE/43LIiBtYKkT3Qr8qWe7jdwOSnPTZOL4K5Z/1DEfFagt68efPm7aln/gvLmzdv3rxNhU11epFRMxDWiIxaxne9v+eCKLY2zYkg4nNERCKNPRoU3dOBPhuWKKWGxr7UCTI4oiK0+R7FV3VVELftykZFM7UPt50ixkBTjrBY7XpZ+7fJwTKABF19D27MiYjIcKDpTcjvn/QLiedERAKNO2tXSfxWY8OCAQntatwJIy9hhkBqR8siytxc0TkI+4Qj4CCb5tuKsMZpGIrj2UZad5HUL4Ku+f1Ad1FERG6pnWKvrXTNmWd77NgKBU1HcqjnzkMB3Q3mMogqDMcFR/0UBzEy6QLw4JFfdWVZArcQbi2RUHJW/Iw98GY4Rl/IpKpZbDPiqxguA+kgcXivEBYLvoKAwZAT4mw4pgjirxzrNRmliROAlRIpWXCNUeF8mqxkYcyEEDAeTvfJ3kOwXkGVMJIiuWgg3RbHv9kszQT1gaiCdcR1Z8VtRRkxRAw7FnRsLGaLurnPINCgDV4LgAmHs+m2xjzvKlY7ZjFfiFGTeDLWEitYAKZj8oztA3MktCwkwWvA1lGCiIG/DVQG8VuGbztxMrvyY5j3sLx58+bN21TYVHtYs98dy+AUt7subzMntedv+5Yte6A1LyIih4e8fTU7gplZx5lt69d8ueYO65s1pZxTio7Tlwzv9psrbtt6ypzRNnyg6VKJVJbNlveHlx6wZeuacPCu3A5btnf+iIiI3L7p6kNSxaDqtuH7tq2JiPMqqkV3yr2yaQKp2esaajLEvdvXbdnBinm20yICij5Srbtxg9jBiSa3zRpa/XrZjXE00N9nXF/Qh0mRw/L1Wt2NJ+ojnQuRUmbMfIdd964i1Vg8b+EeERF5Se1ee+3L254mIiLL5ZYt+59zJjD9OYsP27KvRiYgnUkX2PHzLhfagFkJCrkMntXi/3BEjNULDRWevY/6QdMeKNoiIvVD0N5zFWLnXCU69ECfQZ8qG+Tm621jSug30nHkWHlBD80rK86N7OwsaFuuvtwICg2EQuj8zDzgni2qnuFw1g2yrIfv3BcQJ5hsAp093oV3NR1HIoEi0nEousCH9oWe0qKrpPpRSRNqspIVwpMub1GyyFmEVrj2Zw+A+MPrgmMA0E+EG2QohlAIAryPpBal0vnXKGlqGZ403rubdxBVssgptVVXBzT5yq20h8UW67uqHXbPjlUtZuYBV4Yx9hdJ3QbzR1Pc1/AN9pTm7jV/E3geLQpA08kJNR+PeQ/Lmzdv3rxNhfkvLG/evHnzNhU21ZDg1tOKkqNDx9FhA6t99uBzbNnhBw0kWFyn2CP9tTVwB/PFTc28W3VQ1tqsgRubHdfmtx42kFN1xdV3X8VAfLVV9/3fq5q+/ENhry0bKsQ2XHeQ3J1KoiisEAEEgpkF18bXQxV9RZwIQXjjdc2qzOKyqjRxz8TpM8ZKjii0Xb04NO9vIyxLD9y5voMQvd1y81NbMdeHQwfL2tQOdOANYkVYpXYhRkqKGBNNpVuig9pISRf/59BZIiIyoBPbLz9yqoi4FC0i7j3//cOn2bJQBYgHC3RQrI8UM1KEMGQBBQs+wMcYAQOKiOz4XaOI8chvuDIbK0OH5YHGnXEZK1zAICQKodJih5V29TnOmANUlmOPehiXe2eRPXAnNYQc+kHzrnUXiFCD+D1u1/aLSSda1N+W3g8XKF0IyBNhhTLfNrH20HfOxK0QHsWmARobk+aAVaYhiCqvMUzR9vSfvIggREvMySDeJIRmbeoNKgL3KSPrMxMNrMgxPWxTvFTwfxaoTo8H1l1OE4kYYo1tVud0+1t1UrzRavjzaMkt1K59H9Rsacu0N9jG5CIz4ERGZsDWLIAciISjx+83eQ/Lmzdv3rxNhU21hxVEkkxPod/mJVJ3gD5dQNueSNOLCCUexC4vqtGzSj7gHQH2ELwrLs2aLV1ERAOk7WClCRw4D0nVAgQHlt7L2kZUZ8y2qN82DU+G7tUF0Dcsu3qxs2J9wVDTgISkyAHvJ6BdDvQZs+imMalQgCJs51PEvYMW65lBXYHUNEAOiGm33DT9L22l003ktE8LeadqUSlOEtfYeN7LB6G75q7bnS+nfVCnlVOEQBuQqcpuXO53eFa7/vNNtuzg20xZdZV06fSZxiPpg3x4eCIilTVVYQDBwnFdMlNvYIdc3nJtgaKcSEYIxzxBVVYvjtQQclvm55D6hBQhRcdxcf0jKrXVJMzwUkJS+EBKkMZD1K5+1uA5ZSVhTKSxUI8t2HK3lVtaRiQF7O4DWm/wXPKb7j54viWeRy3jJJF49/y3AesroS9oFSRoHqF1yDwwqHPA++K/AVlrFZR8+jtU3lRPZzGd6LG0SXOs85L1+WZPzCZrpHUG75pRCNTTeIh0NLUPBVpT0DNk6nyx98S0BL2H5c2bN2/epsL8F5Y3b968eZsKm2pIsNiNJSKXuLBo/OnnzR+wZfdtGNJFmwgEYATUKA6rFxt8q0CxT426wnDbXSOnLZl4qO+snmTL5mrmvs0FF0tV0JiwM7e5RJXrQ4Pr3Ee++ElzmyIicnfHtZEVh3XqvME8VgsGR2kS0eBITVOOUDbiicadLS84/OZw3jw7piygE4UCK7OuPheH5epbnDVQ3EbbjXHSN+1GM3QarSqagwoRLKDcQXBrpO1yJuhg1uBVw4Gbi0gFc89dNPFXz6o8aK+dOmtizPZUN2zZ52YMAYbn/Rsz20QkCY0BqmGYEIH/VUrRgRQhDE0BXkKclYiDawADiojs/C8GHjx4iStD2g4mJKAPnAKit2SuA/IqtdKxSqxyEJVBLCH1Au0zw1aA7ipHKL5JY6RYCQRwL1KKiFBKDSYQKGxUobQqIAJwZlnAVblJWgiY4VZAgYgB4izRtr9raUFVRoUR18YqGXh/nJLFEl8ojQ6gQFa1ADGHxWdBUMkivhDqaGHJOJeGvRLwLeIB9RUk2rLpTdyzeD+cfgVzwesI63KcgGLTsCfGUSboEDFUnEEZ65HhxIn2ndVOqrq+EvdpHyob/PkKEiouj2Xew/LmzZs3b1NhU+1hjRqBFCmp2rhttgnfbO+yZYO+Kcu33FBBThhWiUqu6gpUnbTV66ptum3CA+vGY2MtwdGkkCqbrJlnv91Ydu1q3d0td7J5MGdUKoT6l1cGRtxz/Ts0a7yjfs94H72e80KsliCbejBrLXdaP+5rwkWiKuf65r7BhPYuNteAKzqsCRfDrmursqVElQqfMusY2hkKAJwQEqSUDs1jw9RTTDBQjH2jtVtERJ5ePmTLjqjSxoC2aDklkTzQdnqS8KyyDsiTenfmZ3+Xax/JF1m1AdqArGCB3ToTLOBZ7bzKETGO/IpRyeAD/JJ6EcN5N2dIggiiDityhBlpGqwHQfWOdCfNhIjyJtQqXNlQPZEqeS6RzmN3JymRqKcR0E4fB+jwREVEKutpQgnaiwrkxenSbJJ3NtIyeDgj6nuWugSIIondvfUw2DtUb4HGjfGyMgZIJuyBwnNJ0PS16kTKD72c0AEMk9dEnGpJd6e7ER50oGuUvWeru0leflUFbLpLrmLU0aMymw6Ek0qGaRJSqQtVC/cs1ijWjIhbh0zEACmkTAlAMVe8FjAORgEqG7FMjko38mjmPSxv3rx58zYV5r+wvHnz5s3bVNhUQ4L1lVAm293/czWDVTyzedCWfbNqIDkWsMUBaLHksI1BwWAQQcm5sM2GOdEclZ0yxWLTkA9WSiR0q/FAnGmguN08u7vpAkSQBmMw4yCs5abJ99AqN2xZpGkCYuoL1BzQRLno+r4hFKSjNgnMq51ruFPZLX14EDuoMVZCRGl+kCqLKNq+pgSUXkBQZM20EbOshcaYhRQDY6PnExmH9WfGCuR4rVh/f0bTkCh+qPKQvbZUNXO3o9K2Zd+sniIiIst1Rzb5brjT9IPw3iIdvrt+Ij4mrQTCmXIBV0HIVsQpWDAcBBgGMKCIyOLHjWDu1mufZ8sAZ/Fh+YQOyUWSYrU4DGeR1SCNgtnDbY49AtRUSxzMB4mfIiRgSwfziG/idtEvzp6LOCMmCQCq5Nio3g6N1emzcC3ULETrcNfKm+bh0QxB2hMQIjiwDNeE7jP1BFFyXrkOEZH6CuBwgtCgyrKZhrd4bicQsC2lYcwcpcxBWg/AviKO+DJSYdrqEWZumB8RvR+ss9oqiRhPQFThtvQazXswSMPHIJHwmkY/k9mc0+/RpoIh96d+ULO6Z6iSBBTHFwdHpcR5DPMeljdv3rx5mwqbag9rUs0lEsJFquSwMpy1ZSApBAn3x/wYjzOo16G7r6uEDRZyaCvlmndqSHiYiKxXJYoJbTuGSs4YDZ2H1RmbNnIZSRB5P9FH8sdxOi1HCPo5MwiUdNEfubZGUMfgVCugSPdJVwxjo7PziSZswxyLiNgNX0IwDJRm3vHq70SmCCbpna6tl54NtbnDIyMW9+Bkxl5bHxqK/YjcmkCf3RhQiIHuJDlRXwSVjsQnQD0XSvKHnS7Tgq3KAKUIwWE+K1jg4JkJFvCsZv/gK7Zs4w3GA2MSB/TesJMfNtN7yywduyLpXoLowNRnKCMM8mltwoT2nh6q8/zYFCYZChI8Z1i3iZ2z1s3emXs2g6Cjr48TfA4WlRhFNPggI9mo9RxoPPAA+TM60j6XiCyAMfLn2+kqUgetgkVak5GN06nYsgKIC9RuMZe4lkzMqM9lKF3wGK3qCIc76Me6RJqZSM/CyAi8n0QbGYQRqxBDZaDEs1IKEIkxJQ8tanqYUT05UV5L0Js3b968PeXMf2F58+bNm7epsOmGBGsiQhktRWOJWhNSjdCfWWKN7KyDiBGkPfjEs4DiEvVphUwgiBUaiyjUG32JCG5ADFeWBQRPlgrGP0d2BlahAIwZpMOhEu0HGdH29sCUoD7JuC+ykGlWCtP0gXdicoFV8KPIShGkyxIHuoA5FKsY0yQPJgbvKOToMFyfHYYkDmyz2Kbb4pQagLD4PQIqYRgMfR4+RooQKzxKag0gWAAGFBGZ/6QhYqy+ySlilMam0zi07lEMEMbDpIIQYsdEIIDKAQuaIoYqzBDzZYgK9UwS8I0e6jOEpnFYOKAXceLKvH5d+ow0XMUwoY1l0s91jmCrib4LhgTtoT6jjwrdMSSJ98hQVhasBtWGPMVX4T0ymSJL9SPL7N8a6h/gXo4dQ/8t5MaXEDPIa1DHkYBi9SEWGLZrnt4Z5n1Mf+wwF4kjFkm3a1OY0JpGepYixfG1d6fFb8d1wJ7u2SDMhlKPZd7D8ubNmzdvU2FT7WEVO7HVmhMRyVXMNuFptTVb9vWaUUho1WnroBuLfMFtHSD0kKPUH/Wq2UaMaJZ2zRpO5v3iDv9hvFOAJmGt4LYi8M5qdRcmPlc128G1htsuB0qKiAtEWdUtWkmp+PWyq/eI/mQaeqi72wZpDkL1AylXRERi1VgsNlx9OdUSnEycy1avagoV8rDiQLdq1E+bXJB3vCBY0G45Tosh2G3opE73aTqTXZVNERGZyzk++raqYRjsqrrQgX8KDK1978wRW3bbklE+YZ00dzBP6htQFHAM/2zPSaelSuoBME4RApo6K1jYMiJYwLPa8RGniLH6ZlMGPcBaBuWdqe/QeON68Qyo0jyexkHSdYRmHKlp4OCeEy6C1s6H+nWlVTOhBf1iFAIH7gkdufl0QkZ4rVDV4JQaUFwIaDxF9YQ4ZQXqYGJPQd9pgqiil0cZqVGKCS0/8zOhiqJzFgzTa4o1GfM2Gat7Fp8RVl6Bd2uVJMiDCUZQpkh7TgVaq6iXdScRqpH0SvVZGiOus9YiKPmTDAIIe6V4V90dbtzQSaxsuHXWV9JMgk6fQUp5NPMeljdv3rx5mwrzX1jevHnz5m0qbKohwdFMIDmOreka3/3rW7ttWXtL04ZQFtuoojACxR4FCo2FgZuSlgbrEIIn9x1aNPcT3DHU2Kg8RdsPWwZ+W+k66BAxXJ1Nd1K6qjhDQKKyNoaJDkURTzUYJH+KiIy7CneyuKzGda1tNG2ZjdfqUFsaGzXmPC2ohrYzmwoxRhTDBTJBMCDcRu/j+BnMVSL0KiN2DTFcPI84BL6rsyQiIs+uzttrD7XnRMSJ4Jr6zLN3HnGiwxA5ZVgEKRPiNKdABovuvsbDadivEAH6IQhNISlkChZxIqSsaAC4jGFHECwAA4qI7PiwgQdbrzFxW70dDMUqfEPQik1RQgffwxk95Kb0DZhvhm9ixAX10/AWi99ayJQ+DyCDMDwJSIrhPMBkTHIZ69LMzDgMoghN/2A+Gatk+q4/aW0hrorfLVQiWEQYUFaexFcxZ2xO8DUdV8bEEkCLDPXZPvCj+g4mFKNk32k/A4aL0xArSBI8Hoyb4VGkneE1CBiO3xn6xAQdtFukGC7AwYk4LP3TwelS8K7iHJHDQBRheHIoEhN56LHMe1jevHnz5m0qbKo9rEJPJKIdQX7GbPnPaLoUFN+dNcn72m1Scqibr/TGjNvmdqCpV3Pbo1pFEwpWnUe0QxMiHjzsGt7RMCeVB5tODzDfNPWcNusIIJtVs6W6l8gRO5qGONCqOy8h1Kh31t47adYQCx4So+IR0AkwMnRw4jik8tg273T2OurhdcWNB3T1XIk5szoGIlNAV7HddeOe1HX5zHDeDt29FUl9AtvfuttKxepuTWgJFptmvqOWezasmj78QMO802eVnU7kSc1NERFZLHdt2f2qHXnyzIYtezg2XjEfpGOnyLs97G55hwxqNBMDoMzA6gHwyvhgHkSILLUD3i2j7hy1Ac9q5jqjiLH1C057EJRzTi/SXdL0L0S9xm6ZySYYd0JbLiPRIzysQpfKlC4OAoWIyFi3zcmDdNznyuDFJFUO1GsnjTykuQABpESkD0svJ48RXlyCfAA+DS9pm6Aw7e2WW9x3nQtiDcFz4PGEGRT7RB/UrD4l0f7t+ybPwq4R/YEUJCLO60uoVWCO+f0MNGlijnQv9Z2WifzQ3lPQZ8mzDdE36hPmu5x+P2hLRGTrFHNjFqmJ3wHm7+ikjnFGOM6xzHtY3rx58+ZtKmyqPaz8KJY4ct/qoHzvLrvdNVLJtyg9e6D06lLBbXFy6k0gPbyISE2p43TUJTtVBfyR4jZbVtQsbXHZ9aWi3lmettwl3VJxu3WlveeIam69ngr1T7eNUGmfKbmDhAmSK5LnBop7rei2zd2h2WYWyq7eiZ5rzTSdUFqoWyCmyTd1LoZjNxl4goM7EYAdF+mMRIeWI48tBqDNtHJ9NmLxRr1tXrf6Tbp/R8V4p0slJ/8c6w55mRTc71WaM2PsSOGdJx2zUseU5SiZJe8ubZlOAe+Cix3VTiPhfJzl8DkD1M1ZGxDnQExdx5kVPKvZTzntwfbPmTI+gyi3olRbVleQWcnaRI1VuXWHO6m4Po3Vi2SvotwOte8U7vCIhn7MUqC29iuhjm/nlt63Nsxq7ehDnrw9WGVd259Ln4vwuRaCqBO0eqR2py06zuLYS3JrwN0X0N8YGDwS9nqKHVPY307JWNWbCimqhucABo8koSGoVjts6mVPHcrwBTpXg9o+e7sF9SgTCvc6t/xurZdDXYO3NZyhMzGsFUqiifb47AznaZUj7kX2txe1Xco8UMxJnDEfxzLvYXnz5s2bt6kw/4XlzZs3b96mwqYaEpTcUdHfSDxIfr91NlmMQWElhrwY1oJZ3UCOcM8QIoSWILcBq9MpZndSSrTPxmlNbOoCOp0sKAaBPvUnDpqbqPoEjwf15TLaYn3BnCpJjEMiSegznH7F3p9LDzJizTi0lzEXMSfPA+yWEeieozQkofYP75RZ8NALHPOprTbfJQzGJtujPgE6YwgPKSUYaoMWGsMxVg+Pp9bSnLm+o+6X5Ho9+j5uFzRnwEeAAUVEmp8x8GDnZ8+xZf1FTetC7UNnrvmgKxyeqmlqiL5t1RCq6TWYIBoUAbURiaNZSPRTxMF6Wdp3MYVq4BUlUvXYMvOz2iY1Gk1ZwXDdUGEohuYYFrXP6tgajziIqnWKfoYoBAMQW5jQNzS/V9cIShekzyAYfr6QuN/8bn4mUrLoM6wCAZ09PJsfusVqk2MmlDbMz3KbYPaMZ4ez5rOR0D7NJ3+KODJM/ZAbo+0T3RfYxJpEhlH4P09lIGUMFt3fKcxBYq2UAwmzBFyPYd7D8ubNmzdvU2FT7WFFuSBTNT2kbTsTEY6+jz0d/MZl+QxvYoStDWtpKemCy3JKIMhRB7O8HViQIC5oGQUC41m0xXXl7H1pTb8o4aVlSEFbb5O9JB1XkYggccYuSIsSpAv8yh4r1MWJdGHbI9IDxjEmOv/RW6osBmzCw8pQmodCeTLpnHrj5PFA5J+DJ6GtlvSctJ+s0aeeAQfVWgr5OLmjPLov8BgSnt0gSV3na/CsGn/8VVs2uEDV33kJaBvjZnrWEsks88d+t6xIzzpztp5yeh5hicBdbY91DfFR4mdBtsDhfkiH+/AgmMBgPwYZQ8hKRjhYcH/yslTCbaLOzPpozoroC31ugIwkxq3tZ5A4InrWag1qEXtueFccWuH6S58fBCSXSSRB57ZEnpg00uEEti1CA+xnhAPPdQ0wUQbBwQnP13p21Gd47alWH795D8ubN2/evE2F+S8sb968efM2FXbcIcHJZCL79++XP/iDP5CVlRXZuXOn/OIv/qK8+93vlpxGYMdxLJdffrlce+21srGxIeecc4585CMfkTPPPPMJtTWaCYSCumWsAVP39rfbMsQeMfSEZIWdktPPCzvm2T4lMgyVzMAKABsDc5Kd77r71jrm5D7fc2XdtsGVvrHudA3HCk+2O05pYk3jqqIO6RpCt49C+g9sGrUGaApaGFJEhkPzGpl0EfVN2XrXCZZBpSKiMcaqAziZpUNUxGFRPBKgvuHA4TH5nhIXSAfRqgyQviCgAuaV4D+FjmtjqClg+BA+UF3BB4YLIiJyx2jeXnu4Z1Q/hpS7Idc17W4M3bihy8aQBSCSwoBhGYWKCf6DliGjjlAX4HQcWCMJOKichnJsgj5OEqnQTDFD1QEKFoizEnEECwsDisi2/26SQB75VVeGOLA+aSPa2CwyQGwJ2Eq7Mm6kx8ipMkDK4BQdIEAkSByS1jUE/MVpLqC/WNf0J73tlKpjmO4TlCv6C6x5mFaSAMSaBXHyO0OfS5TwENBud9kNHPp5fJ9d5wz15QG/Scp622kcGiMILhX3E/F+DKdiPXLclk1USpApkPyQ4iKtogvnANKXgfUm4uYnR+oXWHu8BpCCJitBaoVS8Az0HXVLHKcmIlT/Y9lx97A+8IEPyEc/+lH58Ic/LN/+9rflgx/8oPyn//Sf5EMf+pC954Mf/KBcddVV8uEPf1huueUWWV5elhe/+MXSbrcfpWZv3rx58/b9bMfdw/ryl78s/+bf/Bt52cteJiIip556qvzhH/6h/OM//qOIGO/q6quvlssuu0xe+cpXiojIJz/5SVlaWpLrrrtOLrjggsff+V6cTAqo+nTdifOceh3ze75P3oce6kdM5R6o90ebwkj19UgsQta2jF5gMObdozFW4J6oF8OeUE9VIiZDN+0j7UOO+me9FE47rl5HaCns7tq4p54JqXRAGn3CXpf2Ke6T96Mq9eNixlEobcBwkBv2yJtB1WF6LqzivBCtfMTuh5Yx9XmCSH0iQlSV1j023uGYaBegtXfG6SyLm0PnxULBPKEUXktTdm10Ak1F6VCa1g59wRzTcXVoCcXqhbTygD14Jk8HNF9Ovmj7XAL9njwdzBm9bnhWi//jy67sV0wZr0tLL6dxY7xMYLJrkLwUzA8TS6ASkUXl5vsw99wuPCXWoCvp/GE3ntU+ay7CK2Yl9TLU2un1YB4TY0R9RLMG6YDfN/rM1PRiL1mviAuRYG5VIhuBoD1JjW1ylDeeVIFPhywgvoN1Fa23y+QQHU+RPPRJhnoLvK2IUirAY2I1+0DRhSQBxfysUaYAqLWPSNEFISJZ6jGP1467h/WCF7xA/vqv/1ruvvtuERH5+te/Ll/60pfkp37qp0RE5MCBA7KysiLnn3++faZcLst5550nN910U2adw+FQWq1W4p83b968efv+suPuYb3zne+Ura0tOeOMMySfz0sYhvK+971PXv3qV4uIyMrKioiILC0tJZ5bWlqS+++/P7POK6+8Ui6//PLj3VVv3rx58zZFdty/sD7zmc/Ipz71KbnuuuvkzDPPlNtvv10uvvhi2bVrl7zhDW+w9wVHRTfHcZwqg1166aVyySWX2P+3Wi3Zs2ePSHCU+62qCPWCwyIqNQjYpk8iE4oTgCoojgfpNfgwcWHG+MRHxEkkQCWCDzuDQjqGC7FThYrDGAEZRizOqzBdXHZ1oK9QmoAIrojIqAxMh6ANGwdG7jyEaQsEo+KAupzGLpicAVHggO+L0zFpNq6LBGwBgcRFGs84rSICAwzIN8wpBlMkrYuSYiTz5XSA0FzZifner/BSgVQbikh/wHF8OlyORbEH/Pw6FS5i4VEcULMAKKArJiRUNtKH/4CcWPwWKSUQE8YQIhQsAsJHQLAADCgisvjxNBEDbVUozQYL8dr7tHuJeDGd+sSBez994A6IjeEyC3XRPGYREZDUEOOdOGTXprYYUr0go4AMIJKcbxjgMiaCoH2G3gHhcexcTmHHxHGBfuR4DUDUhsV0s8IXbRnNLVLfQGg2S7g3oYSSgY1lwa5IysnkDLyzLPWLRNqbjBjALFgYxJNE8kudlvIWkYUW0kolQRxLEGf8ETiGHfcvrLe//e3yrne9S37+539eRESe9axnyf333y9XXnmlvOENb5DlZZOvCAxC2OrqasrrgpXLZSmX0+cU3rx58+bt+8eO+xdWr9ez9HVYPp+XKDLftHv37pXl5WW54YYb5DnPeY6IiIxGI7nxxhvlAx/4wBNqq9iNbapzEZc2Y0fJsQ1rZePN9Dhlhd5XLLmv+kjrKVHqjZJ6MeRoyGzZnGAfqrudw2LVlK2WXDr6UlUTODZdAsdDhRkRIaq9iMxXjCfwCG9OoPRAig+7Z8y53cMtU0eFPKweqPFExIg0XQnSq4g4uno35K25uS9fYM9Jd3nkbTaqpp4clQ3Uaw0oNQo2S6yDaA+GycNCLZwKPF/VejbcSXKk3taicsn3FTfstcWKKWO9RqR4qRVcWVbCPBw88w4edHX2FrCUEknn1AuorLhxD+ZNn5lgARo407Cxmyw4B9B6UQkVCJ0CS0ig9qENyAoWoK4zwSKLiHH410wZewFZ3gestkopVFTdgFUYsAsvb7lnUA/rEIKokkh1EoOw4crgqYI23jiYToPCWpPwDusH+V3AXXD1Qi2C6wOFm2nbdU27wmQBjKOy5pARpPLgtCoID+BEoZLlPGi/aqukJajvEm0Vu2ktQV5bWL8N0v6bWI1Cdx+8Hu5TXwkRVUqPAw+s+bAb47iuyFEiwaYmiaS57W3Pp/rXeMT0y74LceEOnPyxv5C36Ywejx33L6xXvOIV8r73vU9OPvlkOfPMM+VrX/uaXHXVVfLLv/zLImKgwIsvvliuuOIK2bdvn+zbt0+uuOIKqdVq8prXvOZ4d8ebN2/evD1F7Lh/YX3oQx+S3/qt35ILL7xQVldXZdeuXXLBBRfIf/gP/8He8453vEP6/b5ceOGFNnD4+uuvl2az+Sg1e/PmzZu372c77l9YzWZTrr76arn66quPeU8QBLJ//37Zv3//P6ut/vac5GgE44H5zyPDOVvWGxpsJaC4oFixhZBTA6gyxIjgMnBA8gQlHekZskVuQAoNY/Msx04MtwzO8+2NZVuGmKt+30GCrZriQcwzGEERxJWtdMyXeV/hRE4HEk7UdSdIMNZxMPw4QLsE68Ud0/cwn4YxYpqLripc9LvuLLGgMRshqVqgbhBHREgBINGGwo4U9xEDKSBSCOLTvtsz6iXfqrlMz+uqZpEgluh7PjxouLaQ5oNIMTgsT6S20KExeSbMOFwHTNjZ6RYfILyY4CUXZ5SGXkI6kkU8TqIsTN7Ph+FIEcIGkgLDa4DQAAOKiGy/RokYRM4QhUVZaQMQWp+UJsbddF8ALTKciGzOo0SaD8Q3uZKsOCzEouEgv7WHVBHGaTIHCARbe919INdw3BKUTVqnuPtAVGGCRXu3KotQPB3GuHUaLQzbfqoo8R5txmGKPQJ01j6ZxjZMjgcwm4iD0hg5w3vmcaMOXueALiP6TGEtMyyMd7p1qntBGBvHqUF5BPC5eRjtu/swz5hjEUdIgjCuqScWyRD1PZZ5LUFv3rx58zYVNtXpRUpbsUS0a88r5Xo7kS5A/06QLpRyzgQC63VQWaVkDiBJPk8WquZUeCO34KpTyndMfSk2zXZnruK2YN2xqWiDFCnKBd1e0w7IqncQrR2pToqFNJliNFIPjz0s1QHEGEREejqQcMKn3Katas25BlDT4ASO9Yq5Ph5RegY0R2QKzF/MEfPqqgY0HmgYxonUJHqfq02iinlmZ8Wc6u/Ou9P9mZJhGCyVXSA56ttecTzwtUra07EHxDTtjiTAunTmJ+/qMe7qOqdYQE4YV19FPQ2msIO6PsiTZmUlgxCwI6luUDvkriH5IqcIsf0gZxfUdd5Jw7MC5V1EpP8zP2L6SSQOEE9K5GmUOhiP63tDD+mH8+RtajV80A8SAacSGQ4xRg4PiBN1VDLe2Zi8OaQjSWTMwSO8cdfrvAbcOyWa/BaIAeTl69SzN2VTAPGfFSUT9OfTfP2EwoZakZJOoj28K/Z2Sy3TAfZMbDLEDMUU7ifmdpyg8+vngYgd8ADZs8Szw4RaBcZDfdf22MsG8aPYoVAWVd1h5YxxLWe9wMdj3sPy5s2bN29TYf4Ly5s3b968TYVNNSSYH0bCCS0LCpdtKzg/OQ+Ij5UnFDYqUOwRVDJKrEKh14lfYaG5qExwh6pVJFJQaLbepYqDJ48EhiSwVnYqGXWNF2JljLiQS5Vtr5lTzhV1qy2UKCIFKHIwgUBhxxop93Y07gwkDRGRqKQKFoRtYF6Y9FHR9gqUhXiocWIBQ4JA2jLiyoJMCNYVWWURRgj0+qxiETUKppotGkiwQcomUAepUxyW61OaYJF18JywIH0tVJICi7A6UVk6XB8qhEYKLvZ6BgrCcFmMVCfaRiKp8hiwGY1HYWsmNQDK4XgoECwAA4qIVP/0ZnP/64mIgYN0PhBHc1QUlRAjRMKnCl0x9GMFcek+yYI2obCRMe9xRp8mlbQwrFWwoH4ibolj8TBnvFYRa4Z6zTNpEodVRUlkDU6TUtAHJi64ttJxVVaQl9oazeRT48E74LnAGin20guZsxDb2ENW7siAcbNgT7SXSMlSwbjpeEYJGJxVOUtsOM5lq3Ycy7yH5c2bN2/epsKm2sOa1HKJb/+xpu1Asj8RkYkSCIKh22HESs4IibaNpI6TsZsSULlzpJvVGla0zO0cQDHn3VuvZe57sDvn7tNtzJCIC92JaSOm1Bugesd9dx/aHWj/QnJDhgOzrWZ1iWhk2moPHccWJIpEAkc9+O4RXT3hCalt9k37I+p7QZMrjjhtCDaKpEZgE1KWOL0IlBnISwhBdaeGdUwPD+fNeOrOhdgYma1ijra0OU2dgmsibqd/9M5OJLl7xG6Z1TeKbRxk07PqMY1IOw2H1uzNDOZUUYDSLmR5WNiNMg0cGnBQy+Adf5YihU1ZkeEl8v04zGeCBTyruf/piBit1zzPjGHetYtEgrzOQcBgT4P142A2nQtFG0AxpEDqHDZZaoDnmMKeHg/uZyo3KPEJBQ0kcKR3BkIH930wZ+alRGQBfKwmTNOHh0Oph+Ap8juAN8yeN0gUve3us2S9Iv0McNoQeFusfhGoV8PqKNBaHBA5I0s7EuSsKEHQUTSJCCNYl0xAwVwV+lyfEixI0hNrn+cRiAD3uboWymSckYPlGOY9LG/evHnzNhXmv7C8efPmzdtU2FRDglFeRMjVjtXVHdMJdWT9eXLn1XVnkoKNH8oIug7SnIIEM8BCcXw+rUUlyjiM+xLZgqFYwbFRWg8rZ4AUESnpgpAIey0rXpxhwlxGjJS9L0zPIxvaTcRIYZq5MM4ok2OXZaWY4HgyZIcuqvRDnkY50mChfpjOljwiBVuImyaIEwrhsSoB7uOyyjoUMSg+ZQJIhfoJEREXJmYPtyOGPRVS4fQMgCoT8NcgCceMq+n1kRSSPeqaZKe2AGzFAr+oBzCgiMjMdV8REZH+W851z5YBB8WpMiaFuEN4VwZYa1RJz0UiFg8Ctzon/BkAqSGRJTrC/enxsDoJYETu06iuBKY2xbhlCL66bMWuPkewSMPMHFeWRcSASG1CnPfojMhMiNB3lSAI4W8EEzy0L1nZkhNrQX/n+ya6vpj4g7qjjDgpJtRkZm4GzBpwn9Oxj+NGzmZnfzzmPSxv3rx58zYVNtUelgQiEzrERXqR+YI7/QMNPaYUGEFGssJcRpqNkv7er7n7miWzNT5YTR8sc9JCJGlcLDvRrcN64lwquTYqBfWVmHavtPO4RtR1KF2ox8YKFgMlXQS0jQp011olWrvVVWRVDaW1l6uUOkEvMwFltmZOvEn2TYaFitaX5h4nkkTi90S2Td0N0jzmtc/J3aApq2kKkUHs+oQUInNFF9oPCn2JttwDTb3BSRBhYUayPVo+MtTDY07giHQgMw+491hQssdwnsgHGu3f3UkH46okwB7ORHf6BVI3wDMFXT5M5sDvrKABXT4mrGDHzylCoA3IChagKjPBAp7V0odusmXrv2TIGYMFJnGYn5wcc7AAvbm0kgPTta3XRUkvsZsHHbrxMHk/SLNBbQ21z6wHOIAHw1EUSINC2nbQxRvNuJcBYgmnLUI9rCAB720wl0EASZBC0rgHSDsgh5ix6fvTItbgGyvZg8khNpUJafqBUMIEC3iR/W1p0g6vASSOhA6kiCNHjJsZa3qHc3Oz+tc4GCXqNQPXPveS7yAceg/Lmzdv3rw9xcx/YXnz5s2bt6mwqYYES+1Ygjq53AoJ7ixt2qIZFYndJOHVnEJUzZo7+d5UGI7hulrZQE49OhSG4GpM6g6LqkJxJD/v+qb1cDbcoSozlAmmWygb/ClP8B/ScBQrrmxe7xtOzCubKbvglZFNL0LpQHKl1H3dkYEExxWK09BnqmXK2qvY2JigPihdlAgy7avaR6HMOJQ+y8QNJSnweCa5NNkEGaD7dcKN9F3tKBqB2x8oune2rWTmnTNM473sqjr2w71KEqhQhtWsw3CQCTilBiAQPkifjAAxUn1FVXegmBVAjCxyCkgqmXojDVehX4ChmBgA4gRDl7kMEVgbv0MxM0gRwvExODTn+QGZAjCgiMjCJ0yc1tZrHTkDMVcsiIt0IdxGfqQKEkQeCcsKT9K4mfAikiQBoH9MPihrGaPNWWQgQJI8P2g3K26KYVRYQqRV26sdTpMPoi5BghNAwOkyVl6xUByEomm95TNgRayBhIKGftSjhNqKri2CHxEjVadsxVDTYPJKfVWzBo/SzKjqOhNL0som6H9lM/15YFi4sh5JOMqSmMk272F58+bNm7epsKn2sKJicucCJYeNidPq647SShL4Ph+Rpt5ElTCwyxchBQtK/rihSQMD8gwsdZx5E3p9SKfrI936TSj5YmditpQR09pHoK67Zyegs+vPzYFTchio50QMUqsXiJQmIiLDsbkvovYjpQ33KIcK6smi3/Oc2bYoDYnd1Y7SeyH2AKEswgkcMWdchm1ZT3njm5Gb5JbOXV3JH6Yz5v7NsZsfPty21WZowdkdMn0qsjTgQBXmdA/2ELxF92k9TISwmna0y8y307R20N6hgMDKFEylhqHPTJdH2ZgSlcKbYI8I3gLvruFtMsECntXsH3zFlrVe/TxtK025ZkWKWNOpgARg+pUmH+C9uHdA60N/5VQZaCuZDiTt1Ryt1Wf6ZH6WummSwoSWFOjYTOcHKYTDMjC3/G6zKP7cL9sXeFtogkMm9H72lNH3iD70Vs2DvHdoS3KSTLQxbqQ/y+y9ThSJ4eST+Yxki1jnxQ0mkaTJMJiXCX2+wlIgYWYMTLZ5D8ubN2/evE2F+S8sb968efM2FTbVkGBuFCcgG3jHjbwjGmRm9FXFB8RoiYjkM9JsIOaJPdbZEgVjqE2skqorQ8qPCSlw5rTuAqlf5NQ/53ZtxDyRHiaKAYQKqzUqRKYoGDyK4ToI2BZojLlclPgpwqQLRwSBOsiExIHz9lk+3U7DLK4DacmFLBURzvAcZNQDFYSK4mqEWEhD47Ca9L7RF47NQpwIQzouFoSIJSoAGgfuY2Gj/UkVQEU3pLzl3mOxo3AmjRECthxnhCzFY4JtcL1OB/09jZsZ62KoP+JIMeOmCiATVIPxMKSD8fJhOK4jU7CIEyVmmNCK+VKcDwgWgAFFRGb+0MCDnVe5MsB5DNMVW+b95WiNxkq84dQkYSmfeJZjdpCaJAi5DkkZ+s7wVVY8lFV3IPit3ILAb1qtIk/kgFAbJj6WFYRlqBgCskywsPfTuNG/cT29jsq6LseNNIzLaxqWEO7VdpkwgvVQ7HCMm847qYNYckg+3W5iHN302quum7o5BU+o881lUSEvMauUPIZ5D8ubN2/evE2FTbWHFZWCZFI+PXDvhO7EFDRwJgHEun0ZM/lAT3QntAPsK5mBd3E9TQfC2oStgbZHumcgELDiwkZoCBsgP4iI9CdKhGDShdbDmn4gXcDrGdLJ5VAVKSZUB1KI9KktpAaZMElC2wBxQ0Qkr8kfx3TfSOeK5wdDC1kLzOoqZhwsZ4yRNRlBFMlR5Huknl1b3+k6nXKvj8x81olpgLQmTLrADhkHwaYz5seEVEzCkpkf3tXD+8mReCPSj2TteKE4ISJSedD0HcoP3IdJlR7VNRwmtN3UK1RPYzRL2ogZVOmRtsufB3g6Zcfwt/UO5ylNzCCdZgOH+glVidm03hw8q8YfOSLG2gWGCs+eS26cPuC3ahHkkUSW+6NeDe34QyQyJALDOCPViuVAceiArjOmd4NYkeX98FrJ2fQ0NLfaZSa0YP7Ye4YuZla4AdcHrwyymCUKhejtMO8qy1NO6JwiCSMpjOBvXVgkskv9qAeEvUhWv1CiDCEECAWYkHePz0Mu0T9tj8grVmGjTchRVSRML41jmvewvHnz5s3bVJj/wvLmzZs3b1NhUw0JSpxUFpgo5HVwNGvLkKE3oFiqWFSodOBgMGT3HRFEBWiMFQXWVQk3P0zDCJw9d9Q3dT/YnbdlyBrMmY5HFltIZxyWTjH1LGBMhvomGXBLnAEdRmiXU6P0zLPjEsF/mrmZD1i3egbDGlPGYdvPrIzDNN+4LyoyfqEQRJ+gBa0nVyQihkJ8RxTH6JL4bWtk5mQt7xSQkY5ifehi8bBGsmJCOJUJoLbuLjee2qF0ll1YIoZLHykS5NRdVjHSdSL3WIiLCQ4Ks1TT0AsgooCucfZhe38Hh/vUpUm6XigqcPwQIDnOFAzIieFMxPIkVCX0dQAGFBHZ9t+NIkb75xwRAxAbw4SI8Wo+lBa4Rd85QzAIEQzXYdxDgq0spMskKKiYbOP60gwCxIaVCbYCXNZfYDg8rebhUsek1xnPt42XYnUQnfu8tsWxgIgTY+gS42aiQxFjXOBFoNcIYqyvZjAnlBEFFQyur0KqFlmEFsDGWelceH7wGeKMw7W1SCZjr3ThzZs3b96eYjbVHlZhEMt4zv2/qJp2J5fXbVmlaMo6lPojqJqyOmkJbqlXgbQgIk5fr0+zNFcxdOnD5AXUS+a+9bIrK9dMPTurTvqgpNut1sAJpiFdCdPuYygZEK0d7YbwTGibWyiaelmZIqdlM0R/h7cZskqH7tBKpPAB5Y6QSCQN1WTkNoZFM46gSqlbbKJJ8l51bAF5WEgYGVVoHOUw9WxUM88sK3Pg1IKjd++umbKFkuNeRxqesL3icokc0ibyTJxAAkcn8GGvB5wCA9NCm1KbAoJ24Xbnzk6X62qqPtaKg1eYeYDew4E/36/30HYTO1pWusCOP0EiqUM1gejiGZRv9IUP8LFbZo8N3gJ7TvCsmp9xRIz+z/yI9onJDPC82XNQoop6HxXy+uApR/TZg+fCFHr0nRVB4Blkqp7QOyvpeLkM3kTSQ0+P2/YpofqRbg/P8tyiz3jv8CZFHLEjoTIBJIOKQFOP8kT7x/yQ9wMvkinxOZ0rbjdLDQbKKzw/oMyzB8hrDlbWtCdxQuki55LsPg7zHpY3b968eZsK819Y3rx58+ZtKmyqIcEgihOwSFnVGpaKLvCkUTYYyZGqg7xyCk1x1t6uwokVggSRmqRLUN+2ioGf7qJMuQ2F9QBHiTg4keEq2KGyIwnMlTS9CKXeCPW1cNmMpiZB3Fa96PAmGyNFZI6OQnd8X1XHOyq51x4r7FivuPuApLBY7ULV9HNMbQwUZi2U0oyEqJyOueL7LNJGZJOyzn23Qjid9m+pYN5pI3BwYb1g5n2JFWeRjqRMKUcUcSh2CbrUcYTcT0CHBC/ZVB6kSgAYKD/MyDrtumdJCpwZ2EJXhIJY+K3n6sPht1MlSEM1DKVh75klVMrwIxoudtP1cUwRyAIMtUHpgZUPrIIFx+wpKQIwoIhI9U9vNuN6hSsrahoO7h9IBIDmCjQnmDMmNeB+hnvDo2K5TP8wHlffcCZD3SEDHkVZoefWz6SmMWH890eVT8Yk8GvhSSaq5NPvAGK6FjKOeN7TsDDaSKxLrFUaT5YyBazAaWdQH8GEgDNHDff3An1JwOGL5tkkjKokEm5DxXYrR9zLau8pS5glcXMM8x6WN2/evHmbCptqDyvOBYmD7YHS1B8aLdiyTaVjxwNKBaGpRNoVF4Y97qqqBW0TWqr5h8NhEZF1TS+S77rv+kOdpinruTKk61gfOXr1oYG5rzt0HsTawHhb4YBehSo9hIHr82G9b7OfpLeLiLS6lVTfx0qrBw1fRKSrfRpTW/BwWqTpB71AJl2sF0093b4jjGC8aMtUmKa6g9Y+zpHnpNcLHZqztqk7oXSh1R2amFCFh8L77bVVnc8isSQCfXZ12LRl8DoGc6S1qMPNOhxmVYs4Q9EAagzs4UBPLSRCQm6iFPICzQVSLJAnFKqXUKH0DOgz0l3w7jrWHSnTg+HZkXiBI3Gw4IPex8QAaPTFzvGXkfYpkSqjmk4RkstINwMPggkW8Kwqf3azLRsrOSOhVlPCAb72Y8bVz16mbR/zSfRuSwlnjkIEwgaFdMCz5HCCMB0eYPX4CjRWoBA0j5HOC68VS0qhj3fWe0EbWBcBIRmhLaN5KqbLUEeBPP+celtDWvuYY0YXMI6YyF9RLq1riPnj+uAVsnpL1NH+ldLjGM3xZEi2FukxzHtY3rx58+ZtKsx/YXnz5s2bt6mwqYYEu0t5CSjCHSSBdco4HGZx/NXtHWdkyk3AaiAzVOmwUwM/2MVHfFNE5AzU06VAn2GocVDk7qMsyDHkY35yehH0BT/DOCNuiuEZLeuPSelC54dFde1Bdp4O4ZEOhEgXTLaw92luhUTfAVGkz/kl4DYg+FpNwzwcjwQlii1VqT0cOtyhNTZQ6EKJsiVr+5hXEZHxDH5jUkE6jsbGzFDfR3MKjWXAhN0drg3AemOC1QAN0XKU3g6FjTKywg7m3fsbW0RToZWYIR19jj+9Wh2L7yJGKeA1rdeHBLuKqkkkhYDTkCAgJM6MbFOE0EE/FCwYSgfBYkzqF4jTWr3wXNdnHRuIFUwiGdUxINcnTAtDgnjN/NGfDEGUYeJCeoyAb5k8g3efFSeXvE9hPZofzCmn9wDJhDOZo8+YW8Cv5gFJGSA8JnjgM1Xs8QSZH6QHbtdAnEtDymGZBXHNzxGRhooa3shzgXfEkOBgDCjblY1mABW7+oazgYQZqkHHMu9hefPmzZu3qbCp9rDKrUhi2g6DTDGkrSe8mYBIF4LEZLSjxPWQvIWx0r/L624HsNk32wjWDUSix0KbNAIbZstyZOC219D1Yz2+gZYxKSQ3UE9o4jyH3kIxMZ7+KENLkL0apEshcoZtl7aeQVfnrMzECfODU54M9PqICBYF3RmFvaMOUSVJQIHXM+HEiFpWbPGcpbUOc7pbXFctwUFM/VRjLxZ9h/clIlI9lNZ9Ay03pJ05DrJ7S27OaiuqJZjYhesYOfWF6vs1HkpTrpsPunZBJeYd9CRDnw31wANkCjK8Tj7wBx0ZVHq2ROiHXs8RldxR9+kZ9Z6zUkuwWgRo1ZwiBNqAyaSXIDO4MnhWO373Jlu2/stGk7CYkRQQ6hzs4RVUI48VPjAXTA0Hhby/za3BykY6QSvaq6y4Fz5Wz471ADGnpTV6LyAfcHiAUuLZq8DcJ8am5J/6CkIh0jqDXEcypEHbD3VtZWhNlrdIhWcT75Fo+lWkvXH1VjZMfVX6+wcFkhKpdEyUh8Wag/gTw/qUBfxdo+41H4pkMqYP12OY97C8efPmzdtU2BP+wvriF78or3jFK2TXrl0SBIH86Z/+aeJ6HMeyf/9+2bVrl1SrVXnhC18od955Z+Ke4XAob3nLW2Tbtm1Sr9flp3/6p+Whhx76Zw3Emzdv3rw9te0JQ4Ldbld+8Ad/UH7pl35J/t2/+3ep6x/84Aflqquukt/7vd+T008/Xd773vfKi1/8Yrnrrruk2TQnyRdffLH82Z/9mXz605+WxcVFedvb3iYvf/nL5dZbb5V8Ph3XcSyLc0Hy0FNJCnkhNx0H/hxLoCKrBSY1qEpFkdQlcprtNiLEyYq7kgBnQckETLrIaxs7VaBVRORQz5z+Q6xWhERsmbigpJCYxGKhNDEcp18ZCBNMGEEqj3LRjWesSiB9gh9jkB4IhsMYIUbLbRRKrgzjDWpEANHD1qjMkAXuc88CAp00KP5L6w7opYYN025T8arlvBO1LejJ7zhKr5kcvXD8ygfUw7k0BAKFCyYfVA9rPwiOCRUCSWS+zchMjGcoFE/CUrqvgEhYEQP1lCw0RvEsICZQW70lhWoI+sE4OD3OUEkknEkYkFgWsYRJKRg3QzoYD39GoHTBECzgrwSspc8ABhQRWfj/m9Qkh95i4EKkQxHJjq9ieNAOR68z7Ir3zWNE6hKGe/ER6i9ShmeoXzBHQpd8n4gyWUQMpCHi+LhiF20x1JYcB4sTd3eYhzlmEH3mGLJiP90+2mXyw3BeIfoKZ51OQ8lIp8LvG2LEo8RnSWHUDXcf3lVvuxt4QrxXbVzLSTh6/H7TE/7CeulLXyovfelLM6/FcSxXX321XHbZZfLKV75SREQ++clPytLSklx33XVywQUXyNbWlnz84x+X3//935cXvehFIiLyqU99Svbs2SNf+MIX5CUveckT7ZI3b968efs+sONKujhw4ICsrKzI+eefb8vK5bKcd955ctNNN8kFF1wgt956q4zH48Q9u3btkrPOOktuuummzC+s4XAow6E7VW21jHbcpCISsLy//toouHvLRejTpZMHBux2FdJeChQfKAeizGq6jjWKCMduPpE8D30dEdfzqHpFnA6hcOoNeDvkxcGLQFvsOQ1Vo4/p8pNheieP8ebIc4r0vhJpKGIOogwqO1PYoWCRRZOPs+7jDVYOOndcufmRoLpDZ09vHNMkF3SbyXqN8E55DYC+jPQGIu6QPk9EA+wKuU/WI+mn+8mkh5zWxx6EU1dwj+ZVmYW9ONTDSfZAQ0Y6EPam4NmxY1k/aDrNCRdBQQ6dOIklTCQIBOhywoPQ+0ppD4bp9G5nTnOhzw6IOGDTdtCSAmmF02zAs1r6kCFirP3fzvsCKYTp00X1Hpl3M9B3xu8RhBEmkWTp9kGphIkllhzBKI2+vwqtKSaUuLLkTxHntfK6AFEEa2FE4QmYHyZaYA7Yy0c/mc6flYoG66JEWobwmLLWCodg9DSNTn2VvOda+lm0y+lKoI/J3h73//HYcSVdrKysiIjI0tJSonxpacleW1lZkVKpJPPz88e852i78sorZXZ21v7bs2fP8ey2N2/evHmbAvue0NqDo9R34zhOlR1tj3bPpZdeKpdccon9f6vVkj179kihLzKedffhnCWXIVHMmluiyu3cHBTccxTcCm+GdwG27oyu8i4G51RLlMDxYN90FmdjIk59Xah/6CuPAqrrmzmz9Q4pqBeeFSdXhOVz6S1MzG0Vjr3FYQ+0rurz7IH2tQtBPn0ektBiU0+R5xvVcAJHnOfl++QpNs08VvTwoUmHEHg/UWL7qvg8lWEnzzs7nF3x7hE72SRFWodFu3CcPbDaNoJ+GaeHN8W7ZegLclhETuePzznw8pk+DKsqHZm14HrbNXwjMUbzs3HQuRqtPeYjz54B1jefB2ENNh4mb9x6lGk6NlP8cTbEyRehus7agDbglOjdOLOCZ7Xt2i/ba52fPce0SQkQ0BZ7adbLpfWGsTUOugnq7EqHeYDKPclQva+uUUYF1cjjYG+skcS5KK0ld6P5UVt1c4tzPyzb5kOurd72QqJ+0yfzk1XT7WePPmgYN5/TAfSZTNx9We0OFtIiCVhLjCQgKDqgNVDqpOn8KKuuuc/w1t4S/+l7TDuuHtby8rKISMpTWl1dtV7X8vKyjEYj2djYOOY9R1u5XJaZmZnEP2/evHnz9v1lx/ULa+/evbK8vCw33HCDLRuNRnLjjTfKuecabPrss8+WYrGYuOfgwYPyzW9+097jzZs3b968HW1PGBLsdDryne98x/7/wIEDcvvtt8vCwoKcfPLJcvHFF8sVV1wh+/btk3379skVV1whtVpNXvOa14iIyOzsrPzKr/yKvO1tb5PFxUVZWFiQ3/iN35BnPetZljX4eK26Npag7hQNRgpv7Sxt2rKKkhPiEh/k68FqgdxuPTHMETW9oQkcNxhNLNDpN8qU2MEcjqK2m6fCWmGU6JOIyGzJnCQHpTTpggkOgCKr+izaFBHpUboSO0RVuKjQGLuATIngEY2UMktUe0u6IIgR40hQ50tpuIrp+Ucbw492jKM0HhASTGgTMmqSxm0U9rBcMWXzRcfbjstR4pqIyL0ZMCXIApy2o7Ju5qBFdF8Lw2QMi5ML5rLURo6uQ0TKm0qOWHTjmJTSpJDBvMK8hWTfRNwhNx/yA3riA3dLdCCoEQkhmcaMZ5hYYg//m27SLFxGbSA1SUhQHw7aOREm4CpOEQJtQKZwY7wgWAAGFBFp/PFXTdmrnB5hFmQaT9JQfhbVvZCRWsYl00z3PaE7qe+0TGoRfB0GGDqR9iVMlyH5IyBGVmABOSIZTqDHBrQGrKoGK4EM02MsKemC3wVCPrI+I2GC7IHwAArryXgHUDYpUxuAsBnKLnbjzKSZx7In/IX1j//4j/ITP/ET9v84W3rDG94gv/d7vyfveMc7pN/vy4UXXigbGxtyzjnnyPXXX29jsEREfud3fkcKhYK86lWvkn6/Lz/5kz8pv/d7v/eEYrC8efPmzdv3lz3hL6wXvvCFEsePsosOAtm/f7/s37//mPdUKhX50Ic+JB/60IeeaPMJG84XkurUumtfdfLcVkldeLelh9yJIFzsosirgF4f7zq60PejKWgNiM+pNs4I8O2MzX3sEUVQTh6niQPsrYBEAPV16BeKOLo4q8/HGVwKqLWzRqBkeE4JFfujjF89+A/clCV0sLupkxvxGEEsIS8NvzE5As/gna6HbtxI0phLRIWbH2tDJ5tuk91xhAF23LQbxX0x0dXHSl9OqFMjCJZ26ziYHxNtuqA6c7yjBOmAiQb4PeCEjNqHUDk5WQnzmMqNz0GOSB9DKK6Tajp25hxwir4zWQC7f/ZC0E9+NlBPnucHXhkH1+czdvpWYZ6Df60nZH4ywQKeVeOPvmLLjvyKIWcw7T9Kcyks6YC9SDtn9Cy8QyZTwAMIWONSy4bNjMBh9mhHyWumHvTJ1TecSQbpMnECGpvsidiEi/Q3AvqD7I3zurH1NUF/T6+3RDLNYpp+H+t4Eir6qsLOhKPCIdVuXEz/HSzTH5FxPZAwA2U5lnktQW/evHnzNhXmv7C8efPmzdtU2FSnF4kKQeJgd9QzvuvK0AVnDRTWCzhhncJMQyYBdDT1B0OC6m7nRu7R9tDAegVKnzFSKYx8n9zkgSm7r7Ngyw53DUw1Grppbw0haUDpOKAMQWk7DnWaibZapNAwGqZTbkTa/lbfkVL6PYMhcSqTQOdiQMod0SRN+tjsGYxmSG3l9L6QVTVCxGTQeKDMQGQPUZiKU7KMi6buHCOWet+WYkT3Txzce7hv5rNAeBTSmnQmDqbFATnDVoAvGMbAdYYJbfI+5oFkpL4A1MbxQLie0ICbpOEl9IHJBzFgLXA5aE6GCulwn0DYYPUNwFtDIk5AUYEhNOgUJrQEdS6G85TmQkkX3C76xTAh4m0YGsNcJHT7ADuSwgfgQfBoEGcl4ggWgAFFRBY/buK01n/JlYHUwPwfzDvHxIGowusC2nf8zvBuh4UM9ZgovX6YfJGldAFoL6EE0kn2b9RIw81hhuoIk2JAkujuTP9ZZ9WPsqp+BJRiBu+0t8ON0aVpcc8CNmaIFyoibD1NbspxYnh2OJNsI8jQGDyWeQ/Lmzdv3rxNhU21hxWEcTJKvmm2TE+vHbJl32jsEhGRB5vO0wCte7bp6NBtaPSRpl61ZH7fqrkD/F2NLREROTTnPKfTZk3Z3TOOCdlsGhfo9JlVW7ZUbYuIyJ3Bsquvbp59aGbeloV9VU2oum3RvnkjG/5I13iPTLoAmSJkFQr9ub3uTq3zuuXcKri5iPXZStW5kSBgMMFiW8PU06V09EeaxospNtyzti9ENAChpFAlpQBNRc5BApV5M2fDsRPag2L90ypmHs8qte2105pHzBip7B/mTBsn1TZtWVbiGngETB+Gt85p7nHoz9H+VpuQdNKQ0j7YcvdZKjXTjOGF86ZSf2edO0s1H6D9tAfDSg591RDknW9/UXXfSOlia28hUb+I83qYxAFiBx/0YzxZyt5s8AD5Pnh0WWSTLDUI9KWYQZlm7xCe1cInnCIGe2AweD3sxULbjr0ptMcKKHg/1fW06gd7QrBShuoGI0EoY7UReB923incwpJyyEuCbl/jEcrG0Eh7h/DYSuTFIitAyUV+2DZ4TYOAkQiL0PXInnJftRuL5GkVrcfo5geJK3ldDOY96cKbN2/evD0FzX9hefPmzZu3qbCphgTjXJCALPpt4yff2dlty1Y2DFaTX6PYp5pxe9sF59eON8yzk5qbkqEqHpRbzmX97vo2EREpbDo/+VDbtFFoue//dt3AWvfOb7Nl631Ttr7lMvrdr9BetOZIAjgsjnqujQcWDWQI8gML03ZbBuJjEdqoYwgMhxuurVbHPBu2CPtRBKA7ongSVEPEgBUV2B0NHOkChIlxmUgfGuOVG3BcmV4izz9QkkmRSBeDailRr4hLBPmtnoF276o8aK+B0LJRcgFW+U3zzr7bcvMOOCShCoAxjtKQF5MKbAoMSoLo4qDSB/jlVhp6qR7m1DbmB8MiQT95vwilt9AfIR3kJ+Aq1GGVF9JwEMcUIa6KD9JBjuCUGoAbB7Vc6r4cHdYjHochxmJGG4D4GFrFdrnQT78DpAhJiKwi5QmHT+pHOIuI0f2/nEoG6mFRWwvJ0bAxtwnSRTEN/wESY9JOVpyag1sZ0lUhYCJMAAK09fFnRbvJ6UAiTQwJcoOIIzhwP+M0T8SSyJgIgmc5ySlIGZyCJ9A/Dvy+saYYdsQ8MkSNz9/EnUhIZSOWyRNQuvAeljdv3rx5mwqbag/r6BQfCA6v5h0JoKRp13usqJCld2dTZVBKBCR1pK91EDGI1S4FpKjPODschW6Lw0QJmNUaJFp5PElXFB6l75dIjaLPRqzTr33Psx6hthVyckX1nHjcqIUVMTAXxPB3G1NOa/IoWoKcRyAO0ju1o9vnRopBeu7qqs04W3RbQOgblklD0dbLNF5UT56L3d3SePDuE7kss4YYoA26zb4kprUf1QHqV5CR7gH1ZSW6Y9q41azLOr/OIFjwGLAEEzpy2BnzWLUeJoBgziL2+jAXUcbDTInPuA9adXYeMzyN+DGWGzyr+v/zVVvWevXzUvehnuKA21fyA+36QbWnPyvW68rTffidPXmMjZUrshI92vCJKE1hh/fFhBW7jjJCDLKM5yxvlTtcWfAoazqLAFJkMk6UUYf+zuSM3FC9OFKIiYNjrNljmPewvHnz5s3bVJj/wvLmzZs3b1NhUw0JRvmkqw18gMVQbcZdzoqrvycSHOuzcUbWXrasDL6wrAPOYeimGPFNnHEYMCGnPwk0likmmNBmP9aftbILRrFitSRmGSr8FtJ4oFwRlEk4V2GoPM0P+hlk4C05uu/RYIRM2CafARFxiRaFpTTcMNbJDWmPFWkdhYR8QrpeQDpMKrDpRRhpBIzB4rsKf3GahtiSD9x9+X46fgdwGa9RZBzmA3fAPwU63EbcUJwRj2RhK2rfpoIgKAnEAU4PYZUHaJpARCg8BjSG60xcsNdpnYFEESbu02YZ/lPiAGduHmpsFNQTElmQs2AmEDEI2sUcMAw484dGMHf9l0kRQ5vl+UE/mUxRzEjTgs7w/FhYllUtJngH6TJWFkF7NkUIzR1S0kTUz5GSIxjWA9TI9WZBq+hnacst9ImmemH4L4uIkQn3xmlCi0tjQ+lkGrnUs0F8jL8jxzDvYXnz5s2bt6mwqfawCsM4oZSQV2LA7vKGK1Nvhr0V7PRLJYoSVwp7iZQuyposkbOHNEuGv3ywSuQMeEnkQRSrpp6nz6zZso2RoV+vVxwNu5hLkwlsX8nrmq8Y7jO0BDn5JDbw7LmFkk+MQcSlUxlRvoCgbq7nmHQBckbgtpTNqtn+c/qVkSpmBBXy2JA2hHaDdnfJHhZ2t5SsMacEmWDiaPdh3dy4Q9Us9uQ79tqMki2qLH2gbcyV/t/2vjVGkuu87qvurn7Pc7k7yyVnKVkxZEAUJESAJOuXBBEiGAuOEsuM7JghDBlxEhgGIdKAhdiw/wSyrR+EQYEJhMigIwZk7Fh0DMOBQQIGZEEWbS1BJ0rsSDIZcUnu7uxreqZf1dVVlR/3O/eeO3V3yTVIhL28H0DssLqq7qNqpu937vnOcTz0l7Eso1UmNOqWTlTDVfEzX0Ov8RQa9PF1RkQzPm7mNiF5kJZ2YUF0dWgIeuSMgN6cVdPYrxN/hq+a8c63qQRD2wjpvg1J6eLgjpZ3XxE3Xtbtw32Ypm+T1wAIwXT62S2aJXkZrWod0nsByvPsFjcOZAdQ/RieoyxAN+vZIgTUfVaw4JU+ApnV9u84RYxL/1KtSYhMAcp5Rjp/yLzZtgNkHc6UrV0K0do5a7b9U+3G3mUqq9HsA+2y4sRU54fLCZBRhtQ3ODtEhsrAA97HKnHzjneF+4T5zta5FAC0+3pGy6lS77JmyESwwDvfJlPHyclmVLqIESNGjBg3X8QvrBgxYsSIsRKx0pDgspN4ldTLmRnO2bkTpoW9SGPGYqwmBc0GNPxDc15GtUcgH3TI9XRvbJRRmxN33sHUQGPNOcFlhwbWYnuRTOG82dRhjKOOln1TjZKtxyHn3z21JpnMzX1nDQfr5bArYcKIWogckr2ItQZh51+1AVlQoRFqspiAclnVOfKZa7cN99EJzSM2xknpAo63HtKm927vu/NgO8DobaIb82fnW+bfoVOm3V+whTDaNedfyZzCR2hTF8fY0RawCTusYjzNwOZ6thGwm6BBAnrpXaoTdbjroRoqiIc6Owf32cEddSdswI8M16FOa7Lj+gkyA5MzoELBYqzY1J8eb9SuZfIBYCNWL+gE7CaOOuqKONize5UcchWWxJyMT7l3C4oKecAiBEK2PA6eT0CcgAFFRG75soEH9+9zx2D5ERKm5b6gfyEo0quZwztFpBBAYpNbqUZTiR0gPbD1CN49j6ShNU0TtgOBeHNACYVVKDBnIaUL2KuIOGixe5XeC4VAGXYM9Q/Cy52RO2+h/Vr2XBvDl5eyzOs1k9eKmGHFiBEjRoyViJXOsJJKpKANzqZu/jOt3RInUto8VtuOFhk45kpwaBLlO01BJ3VtQunigO633jc7qxfbzl4kUVuMXotpIfoZkSP6qX7OFHLYexC9e6DpzEwzRiZdLNL6Y0RCMOy6pTno7wUZKYIjAMKDiNtPrYhAMFD7kXFJdOwO0pR6BlFRxlggZepQu5rlLQe0+a/3qQLU+aEuCweJ2yGHcSOTLspufXWPDIepwsjMPUO/+qMKqgKEVA5K2Ejs08WNa6sWhHT7/L6Yz5GtMOlD5vUVNFbLTEtOQHMmUoGjYbPygtT62Tk078Ni3b1bQU070O8D6g2e3lyGTXiaixDl2ip7VPWb2DG4n9En1v6z6ihs6YFnRnOBzGrzq46IcfV+c4wVUBBsG4LsldVGQkactt2i/rzTcf1dxXvJ71vIciQ0Hqs6QsQW/O1ivUa8Z55KR8DQFPf23l+de8/CRAky3Sv1TIyzOFzDGXq21ZQiD9QDXSNihhUjRowYMVYi4hdWjBgxYsRYiVhpSLA5r4TBqLaqP7yre9Ee+1b6DhE5oiSh0FOL7EUa6obbJgUJwGkj2lA+1jO72+e4fkhxq5IgvN7QXHu672rC9jJDGNjrOuLARtsUlXi1TIDp+g722+qYdme5yfHXOg7qQ21WTqk14DVAiSIiC93sXHIKrrBof+Duh1qrgogYg465z5IgwWnTTEwjVIfFUI4eSwJQZElQF54HiYNIqTDiyc5IRER2CAM5pmyYnY6zTkUN207XuRC/oqQDVotACUrFVhUKxzSoLgQQFhM3sOm/8aIbNzb9ueaqrRvO2ZY7NjivUCRtjC9haUEwIcgHhULPXLsSgteWAQdl1L0MLrh+Ht6m9Xm0GZ7OSh2Dey8WqnzAG+6AExekfMD1QgirLELzjWvbXEvUAmGD4En9EVA/t+9qw6hG6Xj92eZ2c78OZfE8gtgAGFBEZOt3DTw4+pkP165Np9QXkCO263BWwfAo4HU6hPFyXRcIPKjR4n7ifCZuAPbrjKhuSq/t79VdiBkOL7oYj+sT6r96l+q1YUWbiDeTOswN+JQJOhsv1msFAQXy2GbbTSk8yaHrR8ywYsSIESPGSsRKZ1hVy2RZiPnE8HNfyohKruoOMAwUcXTtvOeGXyolnljycqjL6hatRA4yzSrIXwQZTiNzx2aH5rzvHRy3x5a6AznPHIvj0sxkWxX1L1FqfTlx512ZG5r2WGU3csp+MqW1l2RlUmbm532itY8n5ueKqftKf5/yxreSBdiu5EDbnc2cCkVzpvM4rb9GDTKfxEq/aNAxJV00x0Ti0FUmZziV6iOezzZEROTVgkoCcjMe1hJE+cLh0p2HjeTOYT0baJClB2jBVBVhj/FGekvHzTYbWEm3KXPBhnf3Mgu+YVOdCBazehu2fwXozu6YXS1T8yBxlJ4unmZEpMaAzMrTDQys6rGaX5DKQX+v1POpf8tAG4fXttvhTXg7P+fd85sda3njYdUKbNqzISWOMZUbxxoBUgErWFj6O2UuyKw2Hv+WPTb5iQ9pG/R7oz+y2gkyiJxML0EXD1mDcHbG9znals3suGRBf0dC5/H84BomXShY4en8Qb+Ur8X70CEcC9k1vysgj3hmuqrO0d2njK2PjI3IPQelLPNr67MejZhhxYgRI0aMlYj4hRUjRowYMVYiVhoSbOQiOY2gv2aIAz/cu2CP/VXvDhER2e87ogNqrYa9eo1Sr+c29ddV8PVKb8MeO9E3m/kv9XfceV1z3qWBS3/7a+bYu0j8dqyirpOFg9VODU1+fq7v2gBKxbVRaLdUnKWfun6C4JATJJg1zcTsDJ1YLPaCR4nDdEpto993c4GEnQGqTZ0LRnkOhwZ2aw4dUQWfL7k2S+G/Fp1XLGAX4h5gVwWD5wM3P6jJekf3soiI/DDVtZ1UYgUIGSIiZb/QzxwR43ttQMBce6Qb8yR+a0VoGXpJQUCh4Sj85EFoCm8x6cKqVQTgoNINUUqdAragsOK3I0CIVEcYqHmyIqfsQqyQJdfMoC8hiw6PJwPYJqgSwsQJvV9eP8Y1PY2AGy/IDPmgWTsP/eR7WAdcaivUT9QosTWJJWXQeUzKONonwIAiIoM/MM7F45/8UO08EBNEnHM0PwMLD3JTsBdhVRRYb4BwlfMzU9WIfRIC3qz/6V526pYjuB/D16ibaizr+Uoz8BwXQ4Yd8RzdNXhXeTx4b4sO2QEF3otlN/FJKq8RMcOKESNGjBgrESueYVXeig107JyWODlo2FwIj1VHYPXIdOyk9oPLcCpSpsCxhDbw20rR7pHMwEHV9c4XcTTxgvX96mIEjjqP9ukeBQwf6RgIGAXR0JdK1CjpWIiG7tpw7cNo0jOwDOyqW/uRov5ZFdqFD1ybMOmip4QEFelrEAU209SEnzf6hM9EHMGAlSzKVp38gJUp61M6A766egAHVpdMAsJGN+w2REQautHPFhnIEpg6jz54Cg4avUumMaY5T07CgsKdh+nuXnIDH/1Qu9Y+rlkOeC6q2nkgJ/AGfnNhxsPklZmSCTzzx6la8LSIeKPzzWoRR9N7jNWcp/NEzyzT+7HNBjICVoHAK8JUcmgDMv0exAUmMyCzGv7+s/ZYftcHTFuBTIetY0Ca8f5O6bs0OOdQjfm2eS4g1HAWgswEFHVzD/Mv28SEzBWh9ehnpU3tJ5UCaCY4fNX1KdvURjjJ1Wv4d8QeIysVEDp881JzXm/PPZjRu7re38PXiphhxYgRI0aMlYj4hRUjRowYMVYiVhoSTKrK2wAG5FTSjqCFxAhyq1TdgUkKJWqf2FG3QOrs2pzrzjjDf7YNSm0XS3Mtw1Wow8qX1C7gN7YGQV8ojUdfcGRZ1aE+DkzLwsNb9LMAXMfjrgKwI6xReM4A6XDf7b095gLGWO8DbxCXRR2+ReQV6uTqNRvzAEa3IEgQ92NSAyAary5IIaeSq/ivg1Yw9II2GJ209VIMqZRSO2ZtTQJ1XYALGepb6jqTa65QnsbqBZiWkJArj9v+TH1CX1pZfYw8P4VezK8ZoB92yF32m7U2MFfcF0tKUTIMqyxgvhneOtpf065em/J8ghARIMBw2RIIKNwnECwUBhQRSZ85IyIis59yihh2XIF3iuF9vANFxzXMtUkiPlyH+yUeNIdjBPWlCoXSM0P73pzhtaS5sL/LBF1Wgb5biLwTOq/+rvjKK1ozN/QFlZPXX4YVM6wYMWLEiLEasdIZ1rLb8L6dF6r4MCqcO15oQw/WFpxBYMWfL9yU5CmWYO7aDEJ3lFVY0gWvgjWLenXm6OrjHCoVbmWFjM13m9PlCdFOp0qJh72INx5kltwnpY0vuK3AteXcjGdJFHr7GWVuM60fWND8NDPMGZMedAik+oFstGyz85+u/Mjokckg7qD559JSDSwpq5np3LG+YaLPsUFLeegFtkmXDit3XhRiJc0bxcgCmGhQ6riZsmvtPYjYAWNEvhYr4qrJGb9+5m1kK+2+Cwp9fYOcV+VQhuBjyI4WG0RAmaEf3E/d6PdsO1RVYtPdr39RiT9sqVH5fTJ9LfU8Wl3rx5wJIQNsk8HlTJUWoELByguwPMnWOMvXMRL12lplsOlmQPUDyiI8HqhPsPIEqOtMsEBmtf5EXRGDMyyXuQgdNHMAVQ/TnhnbUucxI11HjCd0X553q6BBc4aMiUkxeD4t0kasYNi54+ot2tonTv6gN9klDUMYa/LfYpBWOqx0ocdyen6tWSkSlS5ixIgRI8bNFvELK0aMGDFirESsNCRYpom38Zy2TU7cp9qnttYPCbkLJ2o1gtoiEZGGft5KyXFYa6nmBBkMWnrvloMbWlqbVJELsb0vYS99vZbbxbWsalEqdJe0l7Xzmlr/1W7W+8k1V0V3WTvP2XcQHKXttqktay9Cfe8qPJrR/MzUcThp1VP6ikkujfp5lUKVJbkQt7Svy5QhNNOXVPHWnHaAU91dZ8fhSvvM847Nd97ATxVeyk8wxKnvwLz+HKs6d8X/HEgx/UZZiJGWhVAjqAJLRW4XrrAtrW1Jx/R+bKmgM8OZ+vjygTvmHGNDbZFKh8J0TFIIQZyuzofuo9YkDEUeJRCIOMirpPqmRo76RXeeI2KAlFMnEPCzCG3YW5UMhgTRBnObAjVPR/sh4hMgjkZIEePwM46IwaQId/N6oWXRBXmlTtRJFcJjVQ0L41KtWbg+MECSsM+xTpzgnYkK9V8s+mudluuEn4Rq9uzWANvJpPX5znsNKRqvP2+KGVaMGDFixFiJuOEM6+tf/7p88YtflDNnzsi5c+fkqaeekk996lMiIpLnufzKr/yK/Mmf/Im88MILsrGxIXfddZf8xm/8hpw6dcreI8syeeihh+SJJ56Q2WwmH//4x+XRRx+V22+//YYHwCvaZlOzldCyi2mqulOc0BI10WOeqSOosJRNlYJVHmUf0LejNnCftZarHIflRYPUIrqaHTRYOQM6fLTawXntllkqdppuWeqpT2A8sEahz3BtlhCttBGYC90UxnxyVzg7nOocNClzKkAU4axLjzXomCWIEOmiqffLab6xUhtqGX2f+gliRZOfdyDLxYqOM41CN9dZ02+hRAi21OhcQXbojmEFz9YX2Lj3RDcq/zPTh2vz5GECKXIksxGR2XEywgtQ8kNqGegn25ZgNTzbYuKC/6+Io6QXpLdXTuoUexgPsr0HaNVMsLAb7kQSWKrW35KOHc0SQnp/PJ9Y6bNaBTQjPYp2w/9MxI3Xmx+9hvuJZ8qkKqs7Sc8AmdXak46IMb73w3ptPdMIEV9wHvQDRRyJgjMTm+mwASlKKxr8rpp/2fTSZkxeGYMe4gwrgCqEkAGMp8rqv3vZFlk4IYsje5qq+droBccNZ1iTyUTe9773yZe+9KXaZ9PpVJ577jn51V/9VXnuuefka1/7mnz3u9+VH//xH/fOe+CBB+Spp56SJ598Ur7xjW/IeDyWT37yk1IUdaZajBgxYsSIIfL3yLDuueceueeee4KfbWxsyNNPP+0de+SRR+SDH/ygvPTSS3L69GkZjUbyla98Rb761a/KXXfdJSIijz/+uOzu7sozzzwjd999999jGDFixIgR42aPN510MRqNJEkS2dzcFBGRM2fOSJ7n8olPfMKec+rUKbnzzjvlm9/8ZvALK8syyTIHrR0cqHVE5YuNzrRGKCNcoUCOS3UIZeM6dVi5y08XTVW64GutLAH1z9ZmuWO4D4uwLvS8JdVG4Ri7+9oaL9oUXSoOghqunHARK6BLdVP4mWuUcK0nfgtrEvJpAWTJ5+E+oZonrv+yMAMfg8gpOx2jDovGDQgt4bnQH6eKZTHqgDqsqYf1KcxU1SEdhtlsqRvDYEv/X/6Z1QNaOlUM0YQULAAhEYpqSQRMFsIr1WTygSU9VLW28BnDZ1YYNiB+y30KEQxClhYh2xBs4LNdCuaFN/ABGTLhAPPjOR336+2itg9jbLpfe/csWNRWz2Oo1bZf1vveIoFWqyaS1t+3NrlTAx5k5Q4nxEuX6ngBA4qIDH/PwIOzf/xBOi/Q5yPPuUzrffdrBitvrHyeMMlmAfIOwZ5tbYveaUDFDPm1R0s95vo534CwcL1/oQi9t/yOJkUlElAuuVa8qaSL+Xwuv/zLvyw//dM/Levr6yIicv78eWm327K1teWdu7OzI+fPnw/e5wtf+IJsbGzY/3Z3d9/MbseIESNGjLdgvGkZVp7n8pnPfEbKspRHH330Nc+vqspu9h+Nz3/+8/K5z33O/v/BwYHs7u5KUlaWeiniKOlD0rlvYllCG/mN1KeIizgiRouIAR2lcs+YTIElFa9EsMzxSBfmvPWUl3R6PhE7QNhoNHn1pisqIj3gPNDUU1paWesPWoItdGxMzuhou1mzTtLwCBYJiBhE2NA2ZtQGyChMGDn6mRmQrtYDpAsuBcCcZXw/ndM1faZrtNoDnb3PS26dO6a623EFNpnLAOU7aHdBgYTO0+PDpjXRfUHn97Xy6jd0Jnt08MgGOieR9nWjjCwgGRkM0Js9ggX08wLachzIuvgzSwDhhDrQl9AY0R5nGiF9wdpnTGxBJuZlEOgTUa8DlG9kSU3W7QMg061nXZ5xpj1Wvy8TLJBZ9f7bX9pjB9AfpNsdfS4hM83GlLMVdLR+zNMyhDlooOyAyS42a2fzyYGq2xCtHc8xoXbR9xZb4SB75WcL1ODIe1vdAHXhTcmw8jyXe++9V1588UV5+umnbXYlInLy5ElZLBZy9epV75q9vT3Z2dk5eisREel0OrK+vu79FyNGjBgx3l7xhn9h4cvqe9/7njzzzDNy7Ngx7/MPfOADkqapR844d+6cfOc735GPfOQjb3R3YsSIESPGTRI3DAmOx2P5/ve/b///xRdflOeff162t7fl1KlT8ulPf1qee+45+eM//mMpisLuS21vb0u73ZaNjQ357Gc/Kw8++KAcO3ZMtre35aGHHpL3vve9ljX4uiMRadCmHoRZX8nc/tgUqhEzkvLXtHvWczjBUkVgQ9t/Ddr4vTI3O8XNsfuuH2WmsKAxd+lvNjP3fmni+gLSw2jsChGu9sz9llOqjcqUHJG7+12eGwmDw7mSD5bu/KkeWxJhpFBB2v25EwIez8x5iynhI0qECOxFezFqmD7PZg6baipWusy4MEavzurkjILPW5jPW4dUb7LZ9u4r4iCNlxdmHl+lcY9y06dOc821pXVde/OhPeZEbWmM1l1Yauc1vE1hPUYQSGsGqQAiH8xxv/ob1CXRXcA2XKNkEWzuHwgb+n5z+yABJAHLbIZb7HjpviEVD0T7wA0ccFHIMdazQcFnNGdo4zVJCkX9vHTinx+aEw/OzFFj506EuCtDeI4wUhfp9dQvFArkeQTsxkQZ2wfexqgC5+nQDsiGBIK5o59xxzBnIG4wdIznDHdn03fzL4v+wi2ZX3RHVKH3F+8ovQqdq1qjyXVTOqdsMQNotaQaRECBIZfkzrTuBM2wcPuwlOUNiN/e8BfWt7/9bfnYxz5m/x97S/fff7/8+q//uvzRH/2RiIi8//3v9677sz/7M/noRz8qIiIPP/ywtFotuffee23h8GOPPSbN5g1UkMWIESNGjLdV3PAX1kc/+lGpQvpYGtf7DNHtduWRRx6RRx555Eab96KZVbLklZXq4d3aHrljSjSo2kQqsKQLd6yhhI1Ox23Wr/XM0ne/s2GPbXaNYNbZvru2l5preOUwGJql+w8NL9ljlzKz6r/Yd4Jvg9Scl1D/YIjY6Lll3lbHOPNNc7PE6bbcZ7AcYbUKkBrQNxGRhRrGwYZFRKwiBY8bsSSjybWu6SfbtUyVHgsSC/edTSLtZmuAdFEM6lqCzGrHc9tJTSnDDpEpTnTNMnOz5VwLK9Um3CCyi61ECBg48jGbYVHWhdU321JA1aF/qc5DZ0JAZ2TmZ3KrO9i/oO8erVqh+MC0e0v55pW+Rveq6vLRuz89rhkMn69d7u+5Ve7hafPsU7IrgdLDlNQ0HL07sNFPAU1CzggypT6nE86c6tlMQynXTHBARofnwn235Qn0goBmDTsSEf9Z2bZ0bnuX3f3wXHguuldUP3TbPTM8g8E592LAfJEtQjC4kIIFjxuZ1cbjThHj8J992Dvfo//r/CyGzdqx/kX3wJEV28xRXEa57NH726+3ASWVtbNujLNb2touEZ10/jijRUaZ990Y+3oeZ7SYR7YcObytZdGg1xNRSzBGjBgxYqxExC+sGDFixIixErHa9iLNxKuSz+YGR7iydJCbtdxgiEpT0CUpQ5Q54DKHEc0VTiS3EpktUz3mroWrL1dwgwDy0mTbHpuoa3BGqhITdSGuAkoXcAMWEbk4M3DiWAkWbJWxVOIEK05Ueowdh6dzFBBRU9pG2Q3YixAkCPIKOw43VJVgGUjp2XEY7ZXk0CtqP8KOw0UeuI/2BS7ShwRJ7i/MsTbjZgpN5Z49q/mHYTi3kU2bxwpv8cYziAH8bIFAsuOwVXJw6KQsFDpsH/CGtzlxkdbnh/vnoLE6fAPxUoagAT+yIC+gPnZ4BcnEg5z0mpQcaAH5LNYYDgqQGfT3DyK4pi/mPCZHAL70YEWdgpTqd+YbOl7tO8N7sCjJ1l1bcGJmkVwQLBhiBSGALToYskRgHOw4DLLAfNsRjjA/HXLehUVISMGC7T0w94ABRUTW/ouBB6GS4T1HfS6syAFN7QU9W8Cu7DiMdx82MCIi/Yul1zcRkUrVf2bHiVSVQR2Eno86DndICQTvBY8bxCCG/zA/S8+dupLlW0XpIkaMGDFixHijYqUzrKKb+KsZVRbIaec7wPy1RANP3QE2G0TEAMGA6dDQ0mMlhxTXsN2DZictVqTQn1nDEMSPhNQdnL+bO9ZTpYumNXJ0/cQ4koSyLozHdcmetyRVDdHzCs7w8BG3cR01C6/vIF3Q/CR5/d5ol5UuYFOy5ERLp2+uu/CcOZUhAr4emi7dStGqB5CSA87DBrSISN4zDRdkf2D7Rqt1EAJ4xYtrCq4PgHYaXeuovXWKNFt0IMMI9dNmKfxeap+YWpytI3NiSj7o3fW5YBTCWo7wYweFm44h22MliaaOjQkoSII5c8CYBufr7xbmhxNlZA58DIQATrIxB56WoM0EmQSgWTYTYLr1NbzV/uvU3zfPGsXqOdI7bfvC96tT8ZFZQXuQKe9AUzhLwrvCc4wsk0sgrG0Ja59qhtql7Aefh3Qi+Z3ydBc1ZseU+HKFyzfQT7aOqfelSuSG0qaYYcWIESNGjJWIlc6wWtNSqnVaRWkGcUt66I7Z4kla8QeyjySgrwdKPLm9O20+ls1K6ivEluoQnuy6vpyfmwJXaBSKkA5hVV+5JJSlwMCxFegnMjauKMAYO0R/x7Vz2uuCcWWaEn1Y78d7YjB/5POs+Hqj/gxK2uOrlP6eUGZXFdCvq8+dt/fRNZ/jma5RxjpQDcGOVy1r/llLmZuuH9EUF7qSZI0+FK022eo7cC301tpjXqGCu+/OQzbD2VHvcv2YVWunvVJQ3bnoGNHUfTA2Gcw2sLqvZ0mWUi4i0+NK5ab9G0ypp7cHWjvtv9nMgTUH9VCbqOHYW2PTQGQ7Ce0bg2rNWQ/23ZA5rb3sni2eGRczI2P1FMP1Y08/T7Mj7hMo8fy+gRLOmUFIMR9zkW2ysKGOq8tZhb7nvHW3DFDXtX9ByvtnfMq7iMtgWmQ+icyN72vnh7I+KLN75QT6h5JV6jFn2bobT09p/yGFe85AcR+vQF7nr0V7pbNjLd/t4TUiZlgxYsSIEWMlIn5hxYgRI0aMlYiVhgSX/YZHkwXR4VK+Vj/ZM2vUjWI2MsQxyk4X2P3nTcKqDr3Ml/VpXCp1/YWxE/8FJX5G1Hkc8wRCIPVFbVxSWjtULdJeXZOfyRy4B/ctW9T7WeX1NYulyRMlfq7jWZIJI4wtPfgPfACeSHSVN/oD8wjTSc+OQ2nveKYXCcODluAaqVrgfhMiXVg1C4L6oBbBu9Zthc6YKmw3rekBgYDBkJxVmKB3pQhsMlscmqdCH0vC5oqVD8f0L5Im2xqIDu4mgA4XAdo2U8MB3bFu4EI34VkPELAeE0GaCo0xzAPa8vSEe7cwjzw/gIM84oL+yBTyyQkfsmT1Dft8hvX7MrxlHYAIJrT9vMXdD+PxqiK6dYo/ID4et7U1oWeWjuu0cvSB4TzAo9xnS11XggVgQBGRtSeV8v6TH7LHQPBgdQlAjSFjT0nq7wBDxYBAGQoFyYNJKTNVAGFoFdYuiff+AGJ0B1EyUJFiR6OopAoy48IRM6wYMWLEiLESsdIZVjPzv52bSpLoU6Uv078RIFjwZ1hAQ4+QP2eVPRAsOJkBrb2qLx5lve1W//2W6del1BU2gxThUcOxjKD7rXfMfWaqJchmjc5wsb7xnNIYQZhY5nUtQdYNRHlAQkumpj3mLsWOe5LW57hqsumbXsTU+KS+Kmvo82M5PNDjN5QJsUnPFvPJpAuQOLrEQ0f2wxkEVunYgBYRWej6zdMXVM4Mb26D4MD3s4Z+ASq3p2KtK142ysMchKjuWA2zArgtNGanAru57k4DzZk34fEouNAXrw2vuJeWlFLfEE+ZXq3tNr0i1KTWP2vzHiif4DZAwXcU6PrvBRe82gyYxo1MjDMY3I/JB1Y7cll/Pvy719lf6ljrc8ZogJ0LJmfoj2y+CNV11gZEtoysxqO8a2Y1/P1n7bHpP/1Q7TzbbkBBnp8taO0FkUOQ4bHmYKi0Ac/HewaBwnP8HnBxvbsvvxeJlAG9zGtFzLBixIgRI8ZKRPzCihEjRowYKxErDQmWrcSDQHLVxdsj0sUkM5vvrG1X6bAXfRq+EgeWbSIpNGGd4E6DIWKDNOhgqsjHSiUzzJcOXzpU3cCM7D0OF6olOCP9OlWGqIgUcqAmkdmyroMI/UMmXZRzcx7sSEScDmBBZpZgmeRN0ghUWI2JICB75ETcAOmiWjIuorUtbOCo92Fyhj2PbCmgJdic0bG+ufhybmDU/dKRKaBmcW6+7trS++4v3G60hTbYULBbtwMB0YAhQcAXfJ7tWwAu8zbw1Tuzd4XaaNbPA6zE2oD4HLVRS4JWysBvre0f/T7gvqwuYWE1hjOBJDFxAeoOVKcG2MqbC1t7RDU4qMmi6XGKGPSOtkAScMfQL8wd16ZhvkMGkgztlhkUH9yxBfQXqYYM9Wxen1IQidyx5abqbfJ7ETCTRP88WFihMyaHwXyR5wzagFbBgn5V0GfAgCIi/a8ZeHD/X/yoa8uaVNJ4tC9NIlfh3h6cOK/3yX7OSH6BNhg6xBipz61rE454vpt5FTQivVbEDCtGjBgxYqxErHSG1VxUsqBVQqdvdlHf1b1oj/1V77SIiIyHtOJWkkCv45ZvULRmI8O+/nxI1NGTA7MLf2HNqbBv9g0hYNTdsMcGG+bY6YFbXsPAcX/gxOqOdY28wg/6RBzQ7KhBx04ODkw/NetiA8e8qC//52KWxmsdp/iQa3ZWUHYG7b9e380FyBs5qadvqJklEzsmXc0s26SSkYKA4q61pQCk3FEp/7sgxYe0DdM3Ok9VMna7Zh5P0ZL7WMfM3XEsWUWk6pp73Nob2WOvQPsvoKKddOqre16ZY6W4oFU9VCr6e+7Eyck6iaOlNPrJjpvv/l7All2ziRbpEGKlDfUNtimHUnYeMOXz1Co0hhdcP0fvNL/yDTdldrOe6eJOJcOdhxV8SZv6IKPwShqrdN6shxI+ky6YQm2P9fyVOSsvIEupiLwDyv7wVTdGS7HnzEBvA6UGEUeh5ywO6uuhvnXIJBJlDj513/zrZcpojogdmGc2X0QpBbIzJvmAus7vLzKrzf/0F/bY9J+YDIwp50urDuL6hP41yZwTRpQdKnfAOzojmn57gnExGUbRKdLghIK7p1kJYhs90+mJphSL1583xQwrRowYMWKsRMQvrBgxYsSIsRKx0pBgI6+8eoClQliH5A8BsoAw6UIvWZAKRDFVIgbdH2KxTYJq9jMlXbDxoMJ0bKMBgsN+3nPXquFgRkSIw4Xpa8VpscIm5dT1b6yEjaXCf7OK21IIkaASpNkMF0Jho+QNWP15QaQLK6breiSZzhUbONr6IRavBPzHChr1PXKrnNuc0jwqZJlwXYaiB1PF2qikSEY6tynhUWh3snTYHFQTuH4Im8ZszuneJdogn/CuMT4GYaMOd3T26X1UOIQFZG09kqdsUq/9aR9CyLSstQVojIkTFsKjeh/Ux7AFBgwcufYIMFSbBHGxEc7Cp6K/B1zXdfQeIk7ANiVxYJAZmHyAn5OCagUVRrVQEs1JyCIEfeEaKUBOTAJAW0zYwLVcN4X3wlO6AOGF+lKkEN11x0DK4GeLeeZx25onei6ok0LtHCurQMEiVNcGGFBEpP+UIWIc/BRZk+i8dyck1KwTA9KJiAi4NaFawJZnLGr+5bo7KGGwoDKeN/fZvss8F5NKkmjgGCNGjBgxbrZY6Qyr6CWeNlkjYL1hSQJsKBhQZkjamk213EqkodcSk1q6aqTIBoXWhp5Xg5rt9EhxAeoLrLBh7T/YZkMPJR3Xl5ZeAwbogEgXbSUrLMiqHvviDVruQekiJ1q96FykpPCBDIvJGbAXaTZddmgX6ZxBQQGA5sfq6/FCCsaRA9Ikg4oInWb1CrWROS2bW7oEbHkc7Xos1kE3rltBeGaNOmmcdVkLCupUrtYXnQOmSJsT5sfIikGtyKdEumgqXZrtRYpePRODNT02tDmrwcp42SGjUn1HF5yJ6cfdq6wMYf5tka4iVvxzUr/ACrlLRAPQqzPSF4QdB6+uZ9ugkLv7YZXeolV9OtUM0LPj0L6DUU0EDxB0ukycuLWl96qTGjigasErfhBbmFYPIg3rAdqyiLKeVXh29BqcQSB14WwPg8Pc8X2QOfHztnR6mgtkoEywQGa1/oSzJoExJCtYOCsaIu0oyaR/wf29AhHN1zysaveDFQ6TTdZfqs/jUg1SedyLtUSKBf8BuX7EDCtGjBgxYqxExC+sGDFixIixErHSkKAUfv0HIK/tlisygWirMAyoGWjarENJTYIVB1qnNU1dej5UJ1uuBWnrfRgGa6ursA8JmmN9qv+yMGGbnD6VdNGkPkPotaf37afuHo2Gkg/YVkBhSoYfMd5mi9pS8kPIyZjnAmPkY4AqGuwkDFiPxVoV1mvQeCxnhMgrgHTzDt2va45ttUwByCaNZ1N36G9JqQ5L28BnIq5+pUkwC1DEJKD44NWYANFgi5mG/685rw6L4FrP9QWqFvys9BomEJUKdZf6+rQImoNwrWd3oT+WBN80Z3XiBPrJYzzaX/55wXYTGYRpeTyo82GmQf1+dm5pA1/qXbDX4LkwdIr2PZdfDTgU19qVa98PweOx5A06DUNjGAzwKMN/TmmCO1Z/L0DUYCj0qEsyw5pWnYOIGFCw8JQp9HcOMKCIyPD3DDx49X6niIH3xnt/9TawmhFx7wqrnYC0EyJnMLSK+4QEmlltRBIJk7KuETHDihEjRowYKxGrnWEl/qp0PjdLpXP5pj1mNffmtHJQNQSmfMMskW02oBHI2nYwUkwCxoesizedmmuvkKbdWKnWhzO3BBurWkRB/QPle0m0dujmzdQapBJ3j1yPMb281L5kRN1fKv1+ueBxN7z+mnubaFA2M07N50xrx0qxouyjhK4gzQ/UDdiQEnT6Bs1ZWdTLA0Ahh4EjM6r3VDmkwbR2bf/Swlm49C9CZcFdG9J9A9llSatwECdSzx6i/uxB3mgTrR2qDd0r9czO6u2JiBzWNeD6F0y7HTWa5JVvSAUCNOuUNuGRTaSkmlAqCoC+iTjyBhMssOKe3eLG2tF+MnXfrsJTomiPQbCop1CcHWHOOiOma+t9Q5qHgUhC83lkDObE+jFcw6oSIHG1vDnTrJT+1jSs+WNSu5aJECBPhGxAOGODrYg1n+QMWH8H2CIE2oA8HlDX+b7IrLZ+1yliQCWDqenJuI6wgIbOeQ3aY5WO0cD83e1fCSAorKEIYg4/g4NKlpHWHiNGjBgxbraIX1gxYsSIEWMlYqUhwbyfCGmsSqH2IqOlU5eACgUrU0DwNe/TxZn52UOjdLeVSp4kA5mBYMKxWpg0Moa3zM8vHTqRXAjXZnO3yztS2xAPQgPMQOKz58cGEoNKBluJQOGDIcFKYT/AmiIik7GqarAdiCqAVGxBgU3mhevnRIkabC/S0jlYTOqKqzzfUK4o2jTfOWqeaBz6/LgkDTAi7EVeLRzEeqAqIYMWe1CYf9jWBRvyXHtkxzB1PwOqmR9juKy+uQ6B2Yo2xqGG4tndDOsEhwQQEW/gp2ifhqEb2Ie7KlZLttcWxiSiASAsthLBsdlWgDhBG9/4dUlYsSTBZ+7YfBNsCncaYKXcIbAy2NNjAYIDQ2O2no0gxmxLYUzl0Szcr7K15UCNmohI5wDqF0R+WPh9E3FQ44LOA4GACRsOpnTtoj3v/U3QpzoMxsK5RbsOCeIZ8PwAtrZuwCSiDOgyY0JEwJIGChY8F4Az2YYEgrlwMubzuK4VtWYMm7u5cgdRg8e2Ieg/RHDNtZgXelZF5RGaXitihhUjRowYMVYiVjrD6u6XkhOFNFWLjNs6V+2xtipXlMP67m2b1B1yJWK0um4pO+iZJdi04wwht7pmmX5h6JYF611z3ojo2J2euc/tw3177EpmsoPpwPFEd/rGruRcd8ses7qCRAM/MTDLy0uJWcqyvQhrIiKQTGwPXAqBbHPecNlH0VBbla5b3oeULjYG5o4HRF+e980yKumz+J+Jkl4tZIys3FFBj69Fq/+uuU+R0kpSSQKwF9mllOhEz8zdic6hO19XtMe7jur+ij5Stk6wNGdaDSMT4mwGhAUmbCDbCm08e5v6SibgVTA24StKI/OkvtGPzMbqIBLpAytezpJCNHVrqXG1bjfRYY1EUOLZzFJXy20iRAzUpoR1+6xeYIBLzuMBqaAgI0qoeLQP3eQuu2ayoOG4JFJDOoZ1DRN6TBvtA9cusg8ueWmPlnptq3YeZ2Kpvl6OcCDSUEQi8cod9JmR5qDNUDkD1SyFdQPxOatZgMTR3YfFDo1b56LocuampRpkEQIFFFawCI0RmdXw95+1xyY/YY4xUaZ72fxNmB0nXrsGbFhERCY7igLQ/PQu43eJ/ibqc2b1kjJNpKz/+bhmxAwrRowYMWKsRMQvrBgxYsSIsRKx0pDgspt46fdSRV1fyRy8lsGygkkXqlzBNVeA4ZYNNyVZ28A87AQLkkRz4u53oMQGho1mh1qHlTmSwDQ3qfWEap4Oh0qEIPsT1HhVBIeMF+aaiRI8ckr7FzpuJmLAQmSycOk8xHGLGT12PW8+q6f9PLdjHWOWOTgRhIllVoeDuCYNdVUl1y8BZuE6Fu1Lk55Vqc9qb7EuIiLnaTd6X2vcPHsRncdzs/Van9gdFpf4SgrmX0+ZQn8mYRMLc+SD+iY4BxQC2LYDm9qe+7FVPqA5g/txAHFbBNxwgeuFVDp4jBg3b64DCgQcJeJqebL1unoBB5xyWfkArJ0GicUCeuXzQDbx6pEUJsMYeV5D97AqFDR3qE9j8Y2lPismkeA8VmOAdUlS1uc49P5U9CxCaid4XXkcnavmgc+OMzyJdvH/RE4Z1C1PQPKBU7CIswhhmNs61xA5BPMHGFBEZPAHBh4c/XOnklEpFOhBz7ZWkX5HteGUCEwgWDApBe8hP5f2YSmSv37WRcywYsSIESPGSsRKZ1iNvJIFrRS7A7NJeLpzxR6DHuBhlzZRdXM/TYl0MTA/tztux30IMgURO473jKbdOSJdDLWN/bZbOvTXzRLoH6xdtMf2MkPeGJHSBSjZSY8ICbosagxcX7a7pt25Eix6qftsrvRzJkmA4j5oOzJFphvaBWWWokSIbm9B1za8e4iIbPUN6SKh5dE0NeNo9MiaRK9hCkAFpQAiXWABWxClOAXpoumyvVKf261twzPeBRdZRHa6hmxxvE2ki445f7szscfOgYZOtHGQCpg+DNlHpqZb40HOcJTmDAsFEZGGZpFsVwK69owsRwYXlATEBAdYftAKFfexVHeaUJAfCsoqJjua6Szr2dTaK+5dGb3DTAarS4BYwlYQWIUzLTmUCWKTnrMU0N89xQdtg/U2i04963Gfad9fpnfLaji686cnmrW28kAGCp2/3mX3cKfH63p3vUvmc54LEBaGr7p3D32Y7rh31VmiCJ1n/uXnnW2Z38O1s+5+IDZY08/D+ng8Sw9rL0K/U/rM2CIklBVbNQ8iWCCz2vjPzpoEGRhn6D21dmHdQIyRyw3wnnukJn2U/T33i3hwR0eKRb2P14qYYcWIESNGjJWI+IUVI0aMGDFWIm4YEvz6178uX/ziF+XMmTNy7tw5eeqpp+RTn/pU8Nyf//mfly9/+cvy8MMPywMPPGCPZ1kmDz30kDzxxBMym83k4x//uDz66KNy++2331BfqkbiuYBaKI024eFi6+2aa4TsRThKu+PujuHebC9iXYO9fWfd2Fw6zAniswyrwcE4oftVrWtvQsIupNMkx2GtNSvI+gOwX5vwLbgPs0UIYEQqjZAWatfKOlTDYa0gAnPr2U1gYkK3I0FcuDTn3dcnhonnkzKGp+2yrQuCIRDU1HBNj3VLZsGHon4t4B1+9wDPhURT2dYEUJIHO6Ituh86gQ18VsEAzOKpJ0zFO1+EVSjI+VcL9DxyBmp1eH60U2xzMVA33mXX3Q9QG1uYAGJkokGiRIyyQbC19rVLdWKzbX1vtb5ovk19h0oIwVEWaiSY0NZLcU2cQmwMqwEK9OY2QBbAc8w2HeEIBIs21SMB+mb4GPVf+cA9mFKf2+wWBydi7vFv4SmW+MK4IvTs+V0FkWitbhHCdWVoA3VWIo5gESJiVGRXArWN3hX39wd1Xw2qpwJkmNI8AvrNttw8NrNK5M0Uv51MJvK+971PvvSlL133vD/8wz+UZ599Vk6dOlX77IEHHpCnnnpKnnzySfnGN74h4/FYPvnJT0pRvIY0c4wYMWLEeNvGDWdY99xzj9xzzz3XPeeVV16RX/iFX5A//dM/lR/7sR/zPhuNRvKVr3xFvvrV2JRlHwAAFUZJREFUr8pdd90lIiKPP/647O7uyjPPPCN333336+7LYj3xEqf52KwSvjs9aY9dGRvqczKhDWWlPo/bboe8GJupmDPNWlcOKdHa/+++0QZsjt39Lk9MGy2ius+UqfHSlqPYj5VifjB2Amln25umT2QlAmp2RXTxvakhbOxPzLXTzK3ODidKjWd7EbUrefXA0btnSqcvZmRVoW1MWMswkAnt6Vzkmetnc2pOzA/Z0U8zCDZmBP2dHRM0s2pNXGPZxIyJSwZKJbL8zeRWERH5Xv8F+9kr0w0RETmkLDbRcb9weItrHzpyg/rq2suKdZVekH6dqKZcwXKJeg1TinGMOCGyUEp4Z59X62iLLtV1GtuawKIDK22ml1ulC+pTSD8PK1qflqwZ0Ro974DyAq7JaSN9jrII1p1smvvwhjvsVDgDXAxbXlsiTtevd6W+gZ8PAhRxXbXzuC0NnLIaq+tILxyyUp5HZHbcz6KthBESuLNZZgA0oEuDZA+8UyEjTNYwxNzjveSMFRmRB1rozzMih+C+nqmj/TPB9Hu9lhQs7POmdxCZFUwgRUQu/5zRJAy9+zw/cy0PYEJLyDiyOyrf3AzrtaIsS7nvvvvkl37pl+Q973lP7fMzZ85InufyiU98wh47deqU3HnnnfLNb34zeM8sy+Tg4MD7L0aMGDFivL3iDf/C+s3f/E1ptVryi7/4i8HPz58/L+12W7Yo8xAR2dnZkfPnzwev+cIXviAbGxv2v93d3Te62zFixIgR4y0eb2gd1pkzZ+S3f/u35bnnnpMkhCtdJ6qquuY1n//85+Vzn/uc/f+DgwPZ3d2V9qTy4QEVFF1jaYpQaC1IFUjxG1QnkqYQa3SngeDA9SR2DEzO0JqjW/sje+yCGHhu1HaYUztE/MDmP5EvUHd12FRVjaTevkd+UHiwTSK5S7VHAPwpIlK1dUOXxFjtvXncKhRcsrAmbsNzYZUZmJCgP7fJikFVL0oSDLb4LnMP9N7bbVNXtZ44zK2vNWztgC1tM6kTVzyISOEYr6ZIN/AbWf0ar7ZGIZV05NpA3U5BgiEQrgW8JeJEbL3uoVsMLyk0A5UMruNJFP5LqG4LtV6JKz+zfW6T0O30uDkvZKvC0Biic7X+njHMg763D+pqHp4yg17D9TuwEAF8JKIQkYhM1el4eK6uvsH1dIA9m/QrD4IHP1vMbZesTBYKi7LYMeabITz7zIiogvdivskEB/2X/g5gbPzrCniZa8JwH8CeqHcScUQUFkC2or+B5+25YwfUWxiKdOORWrsgWAAGFBE59h+NNQkrYkDQuEHvRcjGBnPG7+N8sylFwMH7WvGGZlh//ud/Lnt7e3L69GlptVrSarXkBz/4gTz44IPyjne8Q0RETp48KYvFQq5evepdu7e3Jzs7O8H7djodWV9f9/6LESNGjBhvr3hDM6z77rvPEikQd999t9x3333ysz/7syIi8oEPfEDSNJWnn35a7r33XhEROXfunHznO9+R3/qt37rhNnnlmXbMMuGW1CkfwBZj1nVZDZQZBqTucKA08JQsR3pts/Sa0Cxt98zSdC91q4mNnlne7ffdyqGjfWnS0mqtbc5rUCa0occSzj7wMR1bU+bHSNUl+qR0Abo8K13MldSw2XNLz6WaTy4GxD/VtmCHIuLo7JzwQjGE9QqnOgeNNlF7A0oXyPY8pQu9DSsz4PnlPaIP61zhme4QXb2vJQG39fbd+Tpnt1Fme1n/ZTUEWEZ4VhD6OixoPYQVb5foy1Bo8Gj6AUsLTBUTMUCw4FW4pVUHFBJAR16SLQdWqqA7izhyAq9oQ6vrdIJ+1mntfD+QNyYn3C9Y78q1N8fZOBLZlIdMKK08o4wEc8Vai8hsBnt1QgQ0HEMmg5xk20yDNvPteJN6PzkjQXueMWOA9o8+8HvBc3+0jYSy+zKgJ9k59BEBpu7jvWWrjqVajXB5Ap4ZU/et+sVF9vBQdRDqO7QBOQMGdZ0JFiFFjMW/NhkYk3bwZ68deEc5mosbo7Xf8BfWeDyW73//+/b/X3zxRXn++edle3tbTp8+LceOHfPOT9NUTp48Ke9+97tFRGRjY0M++9nPyoMPPijHjh2T7e1teeihh+S9731v7csuRowYMWLEQNzwF9a3v/1t+djHPmb/H3tL999/vzz22GOv6x4PP/ywtFotuffee23h8GOPPSbN5uvXlIoRI0aMGG+vSKqqev352FskDg4OZGNjQ+78uX8nrZarpbp6p0k//+H7/84eO/P9O0REJL1Au+E64vy4g5fSSwaGWpKorayZz9eed21kP2qgqeQ7zoU4f7eBHdv/28GOs12TTq+fdPAkHH8n+0S6UMHe4qWBPRbgC0h5m4H2KtQvEQyX7ysRg+qwGjOF5k46PKrUeimvRipT8sFmXS0iIcuTas2MJ6F6se6rCjFuEXyia47WlJQHFPZbDhiS0435EdX5nDCft8ZUT6aP7T0fNvVX/+jE/7Sf/c6LHxERX+D37LdvExGR4++/YI+N/7upy+PNdUA17THXiZh/uabIjqtxfcgLm9Z8rICoKz1PwE9MzoDyQTpmyMn8C+KAVyMFQV6CFVsgZxAJCWoRGZEaADt67sbahqe0oecxYQREjYqWuWiXa8haOkaujUJfWQ0B6iDsajzfVhIF5phgNrS1oFoqkD0Wm/X2Q8QWhuEAoTFUhfb4WWAOwo7D9WfGsBrgW0+5YlonoEBk2Aol03sEpRS+B56V915m9Wdh54DfwQmudcfwexaqD+S+oA8MTx7/94aIsfdvPmKP4dmzeDJ+r/h3pDUXKRZzef4//1sZjUavyU+IWoIxYsSIEWMlYqXtRZJCpCRrgkotOtZSl1WkSiYo2bJCyRHNPlG+h2ZJUHVdppFqFuOtZJVqnvXdCmMwMNnPbEjeEkrrhi2HiLMGmTadMsO6Xnu5Q6QQVYbglez2ptktH43V0oMp7Ogzr4Raunndd9kHFtVlwqQGHVxaT+sqWqK2+2Yec2p3qbTgsscb+LrKq5gkoH0iUkpZgJxBG8RDne+sXkW/3jbzeFvqrGO6Stnn5w0STtpwbQ3O6wY+rVCx4mblA2RgrO4weKX0LxDKcOh281vM/wxfJu00Xel2DusEB97oTy+ZayYn3FzA/gMWJZz1NXXV7mm36ZT1L7n2oZbA2Zldhffqq3U24LOZQSAjSYnqjuyMV9ygNPPqH3O1JBUR/NwlMkdXycPIVhIiOth+LOrHUqLVI2v2DBzx7Okgnnf3Sp32z+PBPDN13qIQ9GuT6K96FegzZ2Lof+68Xe08oy9eNqW/3lwmgPdoSX9ykDlxxoh3tU9jBKGDCRt49vye2feLhgPqOr9TyKxOPOqEHy7+qx/1+iniMnRGF5LCN759rYgZVowYMWLEWImIX1gxYsSIEWMlYqUhwc6oksWQ/n/dQEPvHb5ij/1136jFX90ggVS47HbdLvxU4ZN2x+Esg56532zNESLeuWUwi78duIZRrzUmW4zelsEH3r3pNv8vzMyG4nThILlb14wu4qU1R+IoVJA2IXjy+MDIAmBfnOurzjfNtXnudrkLZVweXxvbY5cSM44JY1kKSwyGBKspeWNJ9zu+Ye5zteUwnXnH5PbJOtkUaH1TSdAh4L+kT/VaWt1OqIQ01WG5OCT1ABW//ZGBmccfSS/Zz24f7ouIyE7HaUv+9dod3mciIv/rmHkHmGABNYSE5sLW5TiejIVmeMoA9W2+QLVrqYonk7uw3Ui/hSw6VLkh77tjh7ep4CqTD7Z8OK9NsCJqs7INYjU0/OtMp80/w1fdO31wh+lnl2A9wIRwChZxENXwnIOSQDpYkHAulBFQFyTi4EZPcWFh7lMSoWaugss8t4CzABN5z0zbb10gCO+EuSBEkvBq7BTi6112B0Fw4PFsvGie6ewW96cRz4UtOixxa1Cf72B4Y1SYjpQu8D4AQmPH4TJgWxJyhAb8x07YcBz2yED6p5DnAgK/cArm+7ESSSsgxIt+AQYUETn+HwwR4/AzThEDlkP8XmQbDSmvN29HImZYMWLEiBFjJWKlM6yq4aiuIiKLmclcRuQPAWWGhOwzKqVUlwPKDNRyg23/lh3zf6wtN1uaNpozWo2W2Kh1y5hFZs77wXjbHsuVEbBYuGk/XOhyh+09tH8V0cpHmdldXShx42DudluRWZUlERjUCmKcucxyPjMZEbIgERHRNhZpfeeT73c4N/fJ5mQ6p9T5fM67vDqGrD6ektRBRI81pzSP2mePVK73G+uycEJMlHlhfs5p6QnKvk/60JUdaZhZtYg506ax4d2i86R2baHjxipXhCw6aPWIVS1v6oc23HFN9yploA2dCz3UvezezPkx824xDR3EBc4WOqrLNycLCtDA2VivDKg7QBHCs+NQAohHSAABgjb/vftoNGFC2K6TcTojJj2oCsNBXemiMwb12z0fZCJsNBlSv0B2lPd4fur07vm2ZqD7rGyCTND1BZT8Dp2HDDDbIguegE5jZ1rPSnEfZGz8brUPC68fIo7swXqJaIuftyWoEAEGWRk/RzwzzhjxjngWITCuJAUL3I/nEZnV2pPfqh3j7Kx9WMoyv7Zh7dGIGVaMGDFixFiJiF9YMWLEiBFjJWKlIUGp/HqSptYS9RsO6ms0kK7W65a8WiaFq1oEjUG4tmBFAxyjmiIoLVxpu/t1FE5cbztyxHRp4LQW2YZ0mijyICgJdh10bJiaNua5eWQtsiXBOJKEN2rNzz0SyZ1qnwqCBLERytYk0D5pUC1TX8Vv55kjjBRqDZJwDRfyfW5Dx5F4IrkKYxJRpYH70GOB4/BQlVwHidtQRv1VSoUcpYrfDpruHYDbDKsmLPS9YUilrTAMKymghovPw88pWTtgo793keqwelCQcOcBGuKaGsAws2NENjlSrzU77ubdQl00T/Nt2IYQqUCPMXEBdTYJwb3AYFm8FaQUz+olOdK+iBQKsfHvoYX6yGk5H9bdijHPLVJesbDWZr3vDIkh0C7XFKH+q5HVXYO55mcxqJNDgC4zKQbwHNvTAP5jCA0kBZ5HPEeGy9AXX/XDF59lGM4j19gOoAF3yAol99z5aMsTGNZjnUMmfWCM7n7WsbrFz7Ze64V3ii1r8HeFSReAByef/hC12/j/Zy8SI0aMGDFivFmx0hkWr3hERDpKU99ouq/6gVLOr3Ro41tX4cgaREQWvZZ3DxGRta5Zwe853oIc65pl9QtkWogsqSQ7kE5qjr1zcNkeOzdf1/s5Svxmx9Dfm0Rhx2Kx2XPH0G6mRINuy/Uz06xryaQLtRoZth1jZJyaDC9v00perwGFX8SRSEriwq7rfRZ9d+3V1JBbWl22JlG6OvUdxIkWZWLIWkvSP+xpBjhv0YRr5reTjkRE5FZSLOmp1cgWSzRoNtcjGxJU1nsGeLBBYVYyMggyCERGxBvU4H1w5gTVBFYKAHUc+ngiIoky8NkgEKtVVg9AFudM+eqEEZINlEnb3IQzGKyWmY6N1XrTU3JQwsaQJwPt0nn6SJf0VwOkC6Zh4z6s1ALSyGLTHcTcVoFlszUUvETPUTOsDsmfwmTQnzvzLxMsQFBhQggyEaaL43NP4UPH2NtzL0Y+VMLPWp3gUBEBBRldSJWECRuw98A71WJVC81OmWQDtQqed2SWPEab7XlMJrxbddJQn8aYbaV6X3clmy/advU2nnkp9BzpTzQyq8F/fdYeW9zvqPCvJ2KGFSNGjBgxViLiF1aMGDFixFiJWGlIMB82PMhi/7Ipbvkfk1177MK+UYFo7LuhVg3z81XKV4vLBobK+w5oyebm5w4pH/ztpRMiIpJecVDAy/sbIiLSvuqO7aem3b/s32GPzXJzv6sjp5xxVskTxYg21XUTspy5+/2f9eMiIjLVeigmRMwOCYPAGOfm2rO9TXtsOjHXlmShjHqpq1RLBQJGRWyTF7SGazkjBYB9c23WpvZB2KCNdGsvQkQMtIt7iIjM1E05nVG9i7okf+vgXSIisps6iPXvDm4REZG9toNYm2Nz/t+MdlxbOlW8ke5qs6jGBJvmBG2E1AugqgBxWdOIfkboJKBAVpWoPGhGL1VkiF1m4RZsN75TUpLo1G9CHBN3X4XOZtvuPcJ4eS4A+fQu0Sa8wnoQgxUhYVaCy8pWU/vp2oUAb0E1V4e7ULN152Ub5n/WSDA4PwKNjd7pHobtO1uezFB7VIdiea7xqz456eZi+LLB6TKqW8JcsTs14NnRu9x7bqE7qkcCBMkQI8gZ7IwOGO/wNqonG/t95lozEEoa5M4NSHd6ov5sPXsc/bFN4sC4H9uboE8Hdzg4HvVsXaqTm6tjNJNCQGpiQgssbRiyxLNlGHDrd/9ClhVXv14/VvILCxZeRT73jpcz8wIuxu63t5yac0r6A2rzyqm7vpzhhSHGmZYRQypJRCSZZno/d20ROIa+LCe0N6QFciV5Si07eu2MxgLJGmLuoY1iXtU+K50gvA18YeE6066+qLP6F1ZFrMPQF1ZZ6T4dfbEV80Lvx/7k+m+ocLhFbejnBT2XcrbQNugZKG6PZzohpiHmNs/peesz8OZ9oV5itI9Q6S8tfx+BRVhk9IWJfYni+l86YDoV9Itc6BpkyVbteh9mRoX2cNBX/PGraL+2SAIduM4XVsEdDvhMWeXvnOZW38GCnmOh8koFfeugnwX9QUYhKO+B2j6zRBC82Kjdo4wxj6GbY+5o72VRP4b5Dn1h+eeZzhcsaZagT7TfqntDPB67f+mdV//Cgv17Rb8iuDcK5bnP+NvEe7uV/g6U9P5iP4vnKwnMD+ab30HsKfP9JNAna11P19r2+Jg2wl9Y2G7z5jHABlxWuSz17+zrsWZcSQPHl19+WXZ3d1/7xBgxYsSIsRJx9uxZuf322697zkp+YZVlKa+++qpUVSWnT5+Ws2fPvqZT5Vs1Dg4OZHd3d6XHIHJzjONmGINIHMdbKW6GMYi8ueOoqkoODw/l1KlT0mgE4AaKlYQEG42G3H777XJwYDjC6+vrK/0yiNwcYxC5OcZxM4xBJI7jrRQ3wxhE3rxxbGxsvK7zIkswRowYMWKsRMQvrBgxYsSIsRKx0l9YnU5Hfu3Xfk06nc5rn/wWjZthDCI3xzhuhjGIxHG8leJmGIPIW2ccK0m6iBEjRowYb79Y6QwrRowYMWK8fSJ+YcWIESNGjJWI+IUVI0aMGDFWIuIXVowYMWLEWImIX1gxYsSIEWMlIn5hxYgRI0aMlYj4hRUjRowYMVYi4hdWjBgxYsRYifh/UKNYCI5BfwIAAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "id": "551aa2fd",
    "metadata": {},
    "outputs": [
@@ -315,15 +315,15 @@
        "Text(0.5, 1.0, \"MDS of Matisse's Leaves via ECT distances\")"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -335,7 +335,7 @@
     "col_df = pd.read_csv(\"doc_source/notebooks/Matisse/colors.csv\", header=None) \n",
     "\n",
     "scale_val = 6 # set scale value\n",
-    "plt.figure(figsize=(8,8)) # set figure dimensions\n",
+    "plt.figure(figsize=(5,5)) # set figure dimensions\n",
     "\n",
     "for i in range(len(file_names)): # for each leaf\n",
     "    shape = np.loadtxt(data_dir+file_names[i]) # get the current shape\n",
@@ -347,7 +347,8 @@
     "    plt.fill(trans_sh[:,0], trans_sh[:,1], c=col_df[0][i], lw=0) # plot shape\n",
     "    plt.gca().set_aspect(\"equal\")\n",
     "\n",
-    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")"
+    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")\n",
+    "# plt.savefig(\"Matisse_MDS.png\", bbox_inches = 'tight', dpi=300) "
    ]
   },
   {
@@ -377,7 +378,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/doctrees/nbsphinx/notebooks/Playing_with_Spirals.ipynb b/docs/doctrees/nbsphinx/notebooks/Playing_with_Spirals.ipynb
new file mode 100644
index 0000000..3b1339f
--- /dev/null
+++ b/docs/doctrees/nbsphinx/notebooks/Playing_with_Spirals.ipynb
@@ -0,0 +1,1204 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ect import ECT, EmbeddedGraph, EmbeddedCW,create_example_graph\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle\n",
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Recreating the sprial example from Arya \n",
+    "\n",
+    "# Create the graph\n",
+    "Spiral = EmbeddedGraph()\n",
+    "Spiral.add_node('a', .5, 0)\n",
+    "Spiral.add_node('b', 1, 1)\n",
+    "Spiral.add_node('c', -1.5, -.5)\n",
+    "Spiral.add_node('d', 3, -2.5)\n",
+    "Spiral.add_node('e',1.5,2)\n",
+    "Spiral.add_node('f',-1.5,2)\n",
+    "Spiral.add_node('g', -3,-3)\n",
+    "\n",
+    "nodelist = list(Spiral.nodes())\n",
+    "nodelist.sort()\n",
+    "for i in range(len(nodelist)-1):\n",
+    "    Spiral.add_edge(nodelist[i], nodelist[i+1])\n",
+    "\n",
+    "Spiral.plot(angle_labels_circle=True, edges_only=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Spiral.plot(angle_labels_circle=True, edges_only=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Angle</th>\n",
+       "      <th>Swapped Verts</th>\n",
+       "      <th>Sorted list</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>gcfabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>gcfabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>gcfadbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.79</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>gcdafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.15</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>gcdafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>gdcafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>gdcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>gdcabef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>dgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>dgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.27</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>dgabecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>dagbecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>dabgecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>dabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>dabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.68</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>debacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>debacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>3.14</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>debacfg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>3.46</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>debafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>edbafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>ebfadcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>ebfadcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.33</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>ebfacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>4.71</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>efbacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.79</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>febacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.96</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>febcagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>5.25</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>febcagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>fcebagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>5.42</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>fcebagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>5.50</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>fcegbad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>5.55</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>fcegbad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>5.74</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>fcgebad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>fgcabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.99</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>fgcabed</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Angle             Swapped Verts Sorted list\n",
+       "0    0.00                  [(c, f)]     gcfabed\n",
+       "1    0.32                  [(d, e)]     gcfabed\n",
+       "2    0.52                  [(b, d)]     gcfadbe\n",
+       "3    0.79  [(a, d), (f, a), (f, d)]     gcdafbe\n",
+       "4    1.15                  [(c, d)]     gcdafbe\n",
+       "5    1.19                  [(b, f)]     gdcafbe\n",
+       "6    1.57                  [(e, f)]     gdcabfe\n",
+       "7    1.65                  [(d, g)]     gdcabef\n",
+       "8    1.82                  [(a, c)]     dgacbef\n",
+       "9    2.11                  [(b, c)]     dgacbef\n",
+       "10   2.27                  [(c, e)]     dgabecf\n",
+       "11   2.28                  [(a, g)]     dagbecf\n",
+       "12   2.36                  [(b, g)]     dabgecf\n",
+       "13   2.41                  [(e, g)]     dabegcf\n",
+       "14   2.60                  [(c, g)]     dabegcf\n",
+       "15   2.68  [(a, b), (a, e), (b, e)]     debacgf\n",
+       "16   2.85                  [(f, g)]     debacgf\n",
+       "17   3.14                  [(c, f)]     debacfg\n",
+       "18   3.46                  [(d, e)]     debafcg\n",
+       "19   3.66                  [(b, d)]     edbafcg\n",
+       "20   3.93  [(a, d), (f, a), (f, d)]     ebfadcg\n",
+       "21   4.29                  [(c, d)]     ebfadcg\n",
+       "22   4.33                  [(b, f)]     ebfacdg\n",
+       "23   4.71                  [(e, f)]     efbacdg\n",
+       "24   4.79                  [(d, g)]     febacdg\n",
+       "25   4.96                  [(a, c)]     febcagd\n",
+       "26   5.25                  [(b, c)]     febcagd\n",
+       "27   5.41                  [(c, e)]     fcebagd\n",
+       "28   5.42                  [(a, g)]     fcebagd\n",
+       "29   5.50                  [(b, g)]     fcegbad\n",
+       "30   5.55                  [(e, g)]     fcegbad\n",
+       "31   5.74                  [(c, g)]     fcgebad\n",
+       "32   5.82  [(a, b), (a, e), (b, e)]     fgcabed\n",
+       "33   5.99                  [(f, g)]     fgcabed"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = Spiral.get_all_angles('dict', num_rounding_digits=2, opposites = True)\n",
+    "keys = list(All_Angles.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns = ['Angle', 'Swapped Verts', 'Sorted list'])\n",
+    "pd_table['Angle'] = keys\n",
+    "pd_table['Swapped Verts'] = [All_Angles[key] for key in keys]\n",
+    "\n",
+    "\n",
+    "\n",
+    "pd_table.sort_values(by='Angle', inplace=True)\n",
+    "pd_table['Sorted list'] = [''.join(Spiral.sort_vertices(key)) for key in keys]\n",
+    "pd_table.head(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys([5.82, 1.82, 3.93, 2.28, 2.11, 3.66, 1.19, 2.36, 4.29, 5.41, 0.0, 2.6, 0.32, 1.65, 1.57, 2.41, 2.85, 2.68, 4.96, 0.79, 5.42, 5.25, 0.52, 4.33, 5.5, 1.15, 2.27, 3.14, 5.74, 3.46, 4.79, 4.71, 5.55, 5.99])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>angle</th>\n",
+       "      <th>vertex_pair(s)_swapped</th>\n",
+       "      <th>sorted_order_at_next_midpoint</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>[g, c, f, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>[g, c, f, a, d, b, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.04</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>[g, c, d, a, f, b, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>[g, d, c, a, b, f, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>[g, d, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>[d, g, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.73</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>[d, g, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>[d, g, a, c, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>[d, g, a, b, c, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2.24</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>[d, g, a, b, c, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>[d, a, g, b, e, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>[d, a, b, g, e, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.49</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>[d, e, b, a, c, g, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>[d, e, b, a, c, f, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>3.02</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>[d, e, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>3.37</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>[e, d, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>3.59</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>[e, d, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>[e, b, d, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>[e, b, f, a, d, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>4.47</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.50</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.59</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>4.72</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>[f, e, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>4.87</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>[f, e, b, c, a, g, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>[f, c, e, b, g, a, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>5.47</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>[f, c, g, e, b, a, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>[g, f, c, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>6.26</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>[g, f, c, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    angle    vertex_pair(s)_swapped sorted_order_at_next_midpoint\n",
+       "0    0.00                  [(c, f)]         [g, c, f, a, b, e, d]\n",
+       "1    0.32                  [(d, e)]         [g, c, f, a, d, b, e]\n",
+       "2    1.04                  [(b, f)]         [g, c, d, a, f, b, e]\n",
+       "3    1.19                  [(b, f)]         [g, d, c, a, b, f, e]\n",
+       "4    1.57                  [(e, f)]         [g, d, c, a, b, e, f]\n",
+       "5    1.65                  [(d, g)]         [d, g, c, a, b, e, f]\n",
+       "6    1.73                  [(c, e)]         [d, g, c, a, b, e, f]\n",
+       "7    1.82                  [(a, c)]         [d, g, a, c, b, e, f]\n",
+       "8    2.11                  [(b, c)]         [d, g, a, b, c, e, f]\n",
+       "9    2.24                  [(e, f)]         [d, g, a, b, c, e, f]\n",
+       "10   2.28                  [(a, g)]         [d, a, g, b, e, c, f]\n",
+       "11   2.36                  [(b, g)]         [d, a, b, g, e, c, f]\n",
+       "12   2.41                  [(e, g)]         [d, a, b, e, g, c, f]\n",
+       "13   2.49                  [(d, g)]         [d, a, b, e, g, c, f]\n",
+       "14   2.52                  [(b, d)]         [d, a, b, e, g, c, f]\n",
+       "15   2.60                  [(c, g)]         [d, e, b, a, c, g, f]\n",
+       "16   2.85                  [(f, g)]         [d, e, b, a, c, f, g]\n",
+       "17   3.02                  [(a, c)]         [d, e, b, a, f, c, g]\n",
+       "18   3.37  [(a, d), (f, a), (f, d)]         [e, d, b, a, f, c, g]\n",
+       "19   3.59                  [(c, f)]         [e, d, b, a, f, c, g]\n",
+       "20   3.66                  [(b, d)]         [e, b, d, a, f, c, g]\n",
+       "21   3.93                  [(b, c)]         [e, b, f, a, d, c, g]\n",
+       "22   4.29                  [(c, d)]         [e, f, b, a, c, d, g]\n",
+       "23   4.47                  [(a, g)]         [e, f, b, a, c, d, g]\n",
+       "24   4.50                  [(c, d)]         [e, f, b, a, c, d, g]\n",
+       "25   4.59                  [(d, e)]         [e, f, b, a, c, d, g]\n",
+       "26   4.72                  [(b, g)]         [f, e, b, a, c, d, g]\n",
+       "27   4.87                  [(e, g)]         [f, e, b, c, a, g, d]\n",
+       "28   5.41                  [(c, e)]         [f, c, e, b, g, a, d]\n",
+       "29   5.47                  [(c, g)]         [f, c, g, e, b, a, d]\n",
+       "30   5.82  [(a, b), (a, e), (b, e)]         [g, f, c, a, b, e, d]\n",
+       "31   6.26                  [(f, g)]         [g, f, c, a, b, e, d]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = Spiral.get_all_angles('dict', num_rounding_digits=2)\n",
+    "\n",
+    "# add pi + angle for all angles \n",
+    "All_Angles_2pi = {}\n",
+    "for key in All_Angles.keys():\n",
+    "    All_Angles_2pi[round(key,2)] = All_Angles[key]\n",
+    "    other_key = (key + np.pi) % 2*np.pi\n",
+    "    other_key = round(other_key, 2)\n",
+    "    All_Angles_2pi[other_key] = All_Angles[key]\n",
+    "\n",
+    "keys = list(All_Angles_2pi.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns=['angle', 'vertex_pair(s)_swapped', 'sorted_order_at_next_midpoint'])\n",
+    "pd_table['angle'] = keys\n",
+    "pd_table['vertex_pair(s)_swapped'] = [All_Angles_2pi[key] for key in keys]\n",
+    "\n",
+    "# sort the vertex pairs at the midpoint\n",
+    "\n",
+    "for i in range(len(keys)-1):\n",
+    "    angle = np.average([keys[i], keys[i+1]])\n",
+    "    sorted_order = Spiral.sort_vertices(angle)\n",
+    "    pd_table.at[i, 'sorted_order_at_next_midpoint'] = sorted_order\n",
+    "\n",
+    "angle = np.average([keys[-1], keys[0]+2*np.pi])\n",
+    "sorted_order = Spiral.sort_vertices(angle)\n",
+    "pd_table.at[len(keys)-1, 'sorted_order_at_next_midpoint'] = sorted_order\n",
+    "\n",
+    "pd_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['a', 'b', 'c', 'd', 'e', 'f', 'g']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nodelist"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Modified version breaking the spiral"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Modified version with vertex added between C and D\n",
+    "\n",
+    "# Create the graph\n",
+    "G = EmbeddedGraph()\n",
+    "G.add_node('a', .5, 0)\n",
+    "G.add_node('b', 1, 1)\n",
+    "G.add_node('c', -1.5, -.5)\n",
+    "G.add_node('X', 1.5, -1)\n",
+    "G.add_node('d', 3, -2.5)\n",
+    "G.add_node('e',1.5,2)\n",
+    "G.add_node('f',-1.5,2)\n",
+    "G.add_node('g', -3,-3)\n",
+    "\n",
+    "nodelist = ['a', 'b', 'c','X',  'd', 'e', 'f', 'g']\n",
+    "for i in range(len(nodelist)-1):\n",
+    "    G.add_edge(nodelist[i], nodelist[i+1])\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(angle_labels_circle=True, edges_only=True, ax = ax)\n",
+    "# remove axes \n",
+    "ax.set_axis_off()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.colorbar.Colorbar at 0x30be90c90>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 480x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.matshow(G.get_all_angles()[0])\n",
+    "plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Angle</th>\n",
+       "      <th>Swapped Verts</th>\n",
+       "      <th>Sorted list</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f), (X, e)]</td>\n",
+       "      <td>gcfabXed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.25</td>\n",
+       "      <td>[(b, X)]</td>\n",
+       "      <td>gcfaXbed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>gcfaXbed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>gcfaXdbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.79</td>\n",
+       "      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>\n",
+       "      <td>gcdXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.15</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>gcdXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>gdcXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.41</td>\n",
+       "      <td>[(c, X)]</td>\n",
+       "      <td>gdXcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>gdXcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>gdXcabef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>dgXacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.99</td>\n",
+       "      <td>[(X, g)]</td>\n",
+       "      <td>dXgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>dXgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.27</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>dXgabecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>dXagbecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>dXabgecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>dXabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>dXabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2.68</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>dXebacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>dXebacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.14</td>\n",
+       "      <td>[(c, f), (X, e)]</td>\n",
+       "      <td>dXebacfg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>3.39</td>\n",
+       "      <td>[(b, X)]</td>\n",
+       "      <td>debXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>3.46</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>debXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>edbXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>\n",
+       "      <td>ebfaXdcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>ebfaXdcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>4.33</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>ebfaXcdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>4.55</td>\n",
+       "      <td>[(c, X)]</td>\n",
+       "      <td>efbacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>4.71</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>efbacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>4.79</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>febacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>4.96</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>febcaXgd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>5.13</td>\n",
+       "      <td>[(X, g)]</td>\n",
+       "      <td>febcaXgd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.25</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>febcagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>fcebagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>5.42</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>fcebagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>5.50</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>fcegbaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>5.55</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>fcegbaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>5.74</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>fcgebaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>fgcabeXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>5.99</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>fgcabeXd</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Angle                                     Swapped Verts Sorted list\n",
+       "0    0.00                                  [(c, f), (X, e)]    gcfabXed\n",
+       "1    0.25                                          [(b, X)]    gcfaXbed\n",
+       "2    0.32                                          [(d, e)]    gcfaXbed\n",
+       "3    0.52                                          [(b, d)]    gcfaXdbe\n",
+       "4    0.79  [(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]    gcdXafbe\n",
+       "5    1.15                                          [(c, d)]    gcdXafbe\n",
+       "6    1.19                                          [(b, f)]    gdcXafbe\n",
+       "7    1.41                                          [(c, X)]    gdXcabfe\n",
+       "8    1.57                                          [(e, f)]    gdXcabfe\n",
+       "9    1.65                                          [(d, g)]    gdXcabef\n",
+       "10   1.82                                          [(a, c)]    dgXacbef\n",
+       "11   1.99                                          [(X, g)]    dXgacbef\n",
+       "12   2.11                                          [(b, c)]    dXgacbef\n",
+       "13   2.27                                          [(c, e)]    dXgabecf\n",
+       "14   2.28                                          [(a, g)]    dXagbecf\n",
+       "15   2.36                                          [(b, g)]    dXabgecf\n",
+       "16   2.41                                          [(e, g)]    dXabegcf\n",
+       "17   2.60                                          [(c, g)]    dXabegcf\n",
+       "18   2.68                          [(a, b), (a, e), (b, e)]    dXebacgf\n",
+       "19   2.85                                          [(f, g)]    dXebacgf\n",
+       "20   3.14                                  [(c, f), (X, e)]    dXebacfg\n",
+       "21   3.39                                          [(b, X)]    debXafcg\n",
+       "22   3.46                                          [(d, e)]    debXafcg\n",
+       "23   3.66                                          [(b, d)]    edbXafcg\n",
+       "24   3.93  [(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]    ebfaXdcg\n",
+       "25   4.29                                          [(c, d)]    ebfaXdcg\n",
+       "26   4.33                                          [(b, f)]    ebfaXcdg\n",
+       "27   4.55                                          [(c, X)]    efbacXdg\n",
+       "28   4.71                                          [(e, f)]    efbacXdg\n",
+       "29   4.79                                          [(d, g)]    febacXdg\n",
+       "30   4.96                                          [(a, c)]    febcaXgd\n",
+       "31   5.13                                          [(X, g)]    febcaXgd\n",
+       "32   5.25                                          [(b, c)]    febcagXd\n",
+       "33   5.41                                          [(c, e)]    fcebagXd\n",
+       "34   5.42                                          [(a, g)]    fcebagXd\n",
+       "35   5.50                                          [(b, g)]    fcegbaXd\n",
+       "36   5.55                                          [(e, g)]    fcegbaXd\n",
+       "37   5.74                                          [(c, g)]    fcgebaXd\n",
+       "38   5.82                          [(a, b), (a, e), (b, e)]    fgcabeXd\n",
+       "39   5.99                                          [(f, g)]    fgcabeXd"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = G.get_all_angles('dict', num_rounding_digits=2, opposites = True)\n",
+    "keys = list(All_Angles.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns = ['Angle', 'Swapped Verts', 'Sorted list'])\n",
+    "pd_table['Angle'] = keys\n",
+    "pd_table['Swapped Verts'] = [All_Angles[key] for key in keys]\n",
+    "\n",
+    "\n",
+    "\n",
+    "pd_table.sort_values(by='Angle', inplace=True)\n",
+    "pd_table['Sorted list'] = [''.join(G.sort_vertices(key)) for key in keys]\n",
+    "pd_table.head(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb b/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
index f748910..c19d638 100644
--- a/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
+++ b/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -37,7 +37,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -64,7 +64,7 @@
     "\n",
     "K.add_face(['A', 'B', 'C', 'D'])\n",
     "\n",
-    "K.set_centered_coordinates(type = 'min_max')\n",
+    "K.set_centered_coordinates()\n",
     "K.plot()"
    ]
   },
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -86,7 +86,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -102,7 +102,7 @@
     }
    ],
    "source": [
-    "K = create_example_cw()\n",
+    "K = create_example_cw(centered = True)\n",
     "K.plot(bounding_circle=True)"
    ]
   },
@@ -115,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -124,7 +124,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +223,7 @@
        "       -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1])"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -242,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -269,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -284,7 +284,7 @@
        "       [ 0.,  0.,  0., ..., -1., -1., -1.]])"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -338,7 +338,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
diff --git a/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb b/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
index 8c284b7..0ba510f 100644
--- a/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
+++ b/docs/doctrees/nbsphinx/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -42,13 +42,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAU4AAAGdCAYAAAB9+ZroAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAr7ElEQVR4nO3de3hU9Z0/8PeZGTIwuQxkkmAiGS7mggRivWTDpZQGKS1esHRr0YUWK7WP/oIVXH00PF1Bf7uE7vJba1cfiq4Fl8uTXraxPFbl8pgALpJG1DZElyQCmVguaSaQTCYwycyc3x8wMSFzOzPnzOWc9+t5zvOYObfPYHhzPud7LoIoiiKIiChsungXQESUbBicREQSMTiJiCRicBIRScTgJCKSiMFJRCQRg5OISCIGJxGRRIZY79Dr9eLs2bNIT0+HIAix3j0RkV+iKMLhcCAvLw86XfBjypgH59mzZ5Gfnx/r3RIRhaWjowOTJk0KukzMgzM9PR3A1eIyMjJivXsiIr96e3uRn58/lFHBxDw4fe15RkYGg5OIEk44pxA5OEREJBGDk4hIIgYnEZFEDE4iIokYnEREEjE4iYgkYnASEUnE4CQikojBSUQkEYOTiEgiBicRkUQMTiIiiRicREQSMTiJiCRicBIRScTgJCKSKOYPMiYiksLpcuOM3YkBtxcpBh2mWFKRaoxvdDE4iSjhtF5wYHeDDXUnO2Hr7oc4bJ4AwJppQkVxDlaUW1E4MfSrLuQmiKIohl5MPr29vTCbzejp6eGrM4hohI7ufqyvbcKRti7odQI83sDx5Js/vyALm5bNQn6mKap9S8kmnuMkooRQ02jDohcP4egpOwAEDc3h84+esmPRi4dQ02hTvEYftupEFHcv17Viy/6WiNb1eEV4vCKe/X0TuvpcWFNRKHN1ozE4iSiuahptQUNz8OI59Db8N66c/hjuvm4IegNSsqfANP2rSPvKt6AbYxxadsv+FmSnGbG8zKpozQxOIoqbju5+bNjbHHB+f1sjut7cDEFvQOrMhRiTPRnwuHHli09xsW47BrtssCx5fMQ6z+1txtybsqI+5xkMg5OI4mZ9bRPcAc5lDl46j669/wq9ORsTH9wEQ1rm0Lz02+/B4MWzuNzWOGo9t1fE+tom7FxdrljdHBwiorhoveDAkbaugINAvQ3/DXHgMixLnhgRmj5jJuQho+y+UZ97vCKOtHWhrdMhe80+koJzypQpEARh1FRZWalUfUSkUrsbbNDrhIDzL7f9CYbxN2DspJslb1uvE7DrmHKj7JKCs7GxEefOnRuaDhw4AAC4//77FSmOiNSr7mRnwKNNr6sfHocdY7KnRLRtj1dEXUtnFNUFJ+kcZ3Z29oifN2/ejJtuugkLFiyQtSgiUrc+lxu27v6A872uq/N0KeMi3ofN3g+ny63I7ZkRn+McGBjArl278PDDD0MQAh9uu1wu9Pb2jpiISNva7U4Eu7xdZ7w6Iu4duBzxPkQAZ+zOiNcPJuLgfPPNN3Hp0iU89NBDQZerrq6G2WwemvLz8yPdJRGpxIDbG3S+zmiCPi0Tg39rV3Q/kYo4OF9//XUsWbIEeXl5QZerqqpCT0/P0NTR0RHpLolIJVIMoaNnXMHfwX3pHFx//UzR/UQioq22t7fj4MGD+NGPfhRyWaPRiIyMjBETEWnbFEsqAp/guyqj/O8hjBkL+zv/AY/z4qj5gxfPobfxDwHXF67tRwkRnTXdvn07cnJycPfdd8tdDxFpQKrRAGumCe1BBojGTMhF1tKn0fWHn+Hsa4+NuHPI9dfP4Pzf95E2a1HA9a0Wk2LP7ZS8Va/Xi+3bt2PVqlUwGHjjERFJ53A4kN5ng+idAEGnD7icqbAcuQ//B3obfo/+1gZ4Pn4bgn4MUnKmYsLC1Ui/5Vt+19PrBFQU5ShVvvTgPHjwIGw2Gx5++GEl6iEiFXM4HHjllVewZcsWXB5jRvZDvwi5zpjMG0fdjx6Kxyti5WzlHvQh+Rzn4sWLIYoiioqKlKiHiFTI4XBg8+bNmDp1KjZs2IDly5fjf/9Uj/kFWUHvHoqEXidgfkEWCnKUezI871UnIsX4C8y2tja88soryM/Px6Zls2CQOTgNOgGbls2SdZvXY3ASkexCBaZPfqYJzy8tkXXfLywtUfSRcgAfK0dEMhp+DtPhcOBHP/oRnn322aA3vjxQZsXfHC78vwMtEEUx6J2IoTy9uFjxhxgDDE4ikkEkgTlc6pkjsL/9a9xwz0/gRfCXtF1PrxNg0Al4YWlJTEITYKtORFEItyUPpqOjA+vWrcN3b8vDe/9YgbnTLAAQctDIN3/uNAsOrlsQs9AE+HpgIopAtEeYPqIo4q677kJTUxNOnDiB8ePHAxj2XvWWTtjsft6rbjGhoigHK2dbZRs9l5JNbNWJKGxyBabP9u3b8e677+KPf/zjUGgCQOHEdGxcWoKNKIHT5cYZuxMDbi9SDDpMsaQqdkdQuBicRBSS3IEJfNmiP/TQQ7jrrrsCLpdqNKAkzxzxfpTA4CSigJQITOBqi/7jH/8Y6enpePHFF2WqNnYYnEQ0ilKB6ROoRU8WDE4iGqJ0YALht+iJjMFJRDEJTCD5W3QfBieRhsUqMH2SvUX3YXASaVCsAxNQR4vuw+Ak0pB4BCagnhbdh8FJpAHxCkwftbToPgxOIhWLd2AC6mrRfRicRCqUCIEJqK9F92FwEqlIogSmj9padB8GJ5EKJFpgAups0X0YnERJLBEDE1Bvi+7D4CRKQokamD5qbdF9GJxESSTRAxNQd4vuw+AkSgLJEJiA+lt0HwYnUQJLlsD0UXuL7sPgJEpAyRaYgDZadB8GJ1ECScbABLTTovswOIkSQLIGpo9WWnQfBidRHCV7YALaatF9GJxEcaCGwAS016L7MDiJYkgtgemjtRbdh8FJFANqC0xAmy26D4OTSEFqDExAuy26D4OTSAFqDUwfrbboPgxOIhmpPTABbbfoPgxOIhloITABtug+DE6iKGglMH203qL7MDiJIqC1wATYog/H4CSSQIuBCbBFvx6DkygMWg1MH7boIzE4iYLQemACbNH9YXBSUnK63Dhjd2LA7UWKQYcpllSkGuX7dWZgXsUW3T8GJyWN1gsO7G6woe5kJ2zd/RCHzRMAWDNNqCjOwYpyKwonpke0DwbmSGzR/RNEURRDLyaf3t5emM1m9PT0ICMjI5a7piTV0d2P9bVNONLWBb1OgMcb+FfWN39+QRY2LZuF/ExTWPtgYI7W0dGBmTNn4jvf+Q62b98e73IUJyWbGJyU0Goabdiwtxlurxg0MK+n1wkw6AQ8v7QED5RZAy7HwPRPFEXcddddaGpqwokTJzRxtCklm9iqU8J6ua4VW/a3RLSu51rQPvv7JnT1ubCmonDEfAZmcGzRg2NwUkKqabT5Dc2+vxyE/e2ff/mBfgz049IxJnsyxt1UhrRZi6AzjmzPt+xvQXaaEcvLrAzMMHAUPTQGJyWcju5+bNjbHHQZ8/wVMJhvALxueJwXccXWhIsHX0Pvn95Eznf/CSk5U0cs/9zeZvz5wG/x6r9XMzCD4Ch6eBiclHDW1zbBHeJ85rhpd8CY+2X7bZ7zPVw+82f87XcvoPN3/xd5j2yFboxxaP6VgUH8qu0Kli9fzsAMgi16eHTxLoBouNYLDhxp65I0EOQzbsotMM9bDk9vJ5zNdSPmCTo9xk75CtZt2MzQDIAtevgkB+df//pXrFy5EhaLBePGjcOsWbPw4YcfKlEbadDuBhv0OiHi9VNLFgIArpz+eNQ8vU7ArmO2iLetZmzRpZHUql+8eBHz5s1DRUUF3nnnHWRnZ6O1tRUTJkxQqj7SmLqTnREdbfoYMrIgGFPhvnR+1DyPV0RdSyc2oiSaElWJLbo0koLzZz/7GfLz80dcDDt16tQgaxCFr8/lhq27P+rt6FLGwjvgfzs2ez+cLrest2cmO7bo0klq1ffu3Ys77rgD999/P3JycnDrrbfitddeC7qOy+VCb2/viInIn3a7E3LcjeEduAJdiv87hkQAZ+xOGfaiDqIo4pFHHmGLLpGk4Dx16hS2bt2KwsJC7Nu3D4899hh+8pOf4I033gi4TnV1Ncxm89DEE/MUyIDbG/U23L1dEF1OGCbkKroftdi+fTv27duHV199lS26BJKC0+v14rbbbsOmTZtw66234sc//jEeeeQR/PKXvwy4TlVVFXp6eoamjo6OqIsmdUoxRH+Rh7P5PQDA2Km3KbofNWCLHjlJv0G5ubmYMWPGiM9uvvlm2GyBRyqNRiMyMjJGTET+TLGkIvLxdODymT+j539+DYN5ItJKvu53GeHafrSOLXp0JJ0hnzdvHk6ePDnis5aWFkyePFnWokibUo0GWDNNaA9jgOjyqQ8xaP8C8Hrg6b+EK+1/xpXTn0BvzkH2d/8JgiHF73pWi4kDQ/iyRecoemQk/QatW7cOc+fOxaZNm/C9730Pf/rTn/Dqq6/i1VdfVao+0piK4hzsbGgPeUlSz5HdV/9Db4B+bDrGZE/BhEWP+L1X3UevE1BRlCN3yUmHLXr0JD9W7q233kJVVRVaW1sxdepUPPnkk3jkkUfCXp+PlaNgWi848I2fH1Zs+wfXfQ0FOZE95FgNRFHEkiVLcOLECc08Li5cij5W7p577sE999wTcXFEwRROTMf8giwcPWWP6kL46+l1AuZOs2g6NAG26HLh8CIlnE3LZsEQxW2X/hh0AjYtmyXrNpMNW3T5MDgp4eRnmvD8Unlvi3xhaUnYr9FQI46iy4vDi5SQHiizoqvPFfET4Id7enExlgd5fYYWsEWXF4OTEtaaikJkpRmjeufQC0tLNB+abNHlx1adEtoDZVYcXLcAc6dZACDkI+d88+dOs+DgugWaD0226MrgESclvPxME3auLv/yveotnbDZ/bxX3WJCRVEOVs62an703IctujL4emBKSk6XG+/+z3H8w8ofYM+u/8K35t3OO4Kuo7X3okdLSjaxVaeklGo0YOr4MRg414Kp48cwNK/DFl1Z/G0jUiG26MriESeRynAUXXkMTiIVYYseG2zViVSELXps8IiTSCXYoscOg5NIBdiixxZbdSIVYIseWzziJEpybNFjj8FJlMTYoscHW3WiJMYWPT54xEmUpNiixw+DkygJsUWPL7bqREmILXp88YiTKMmwRY8/BidREmGLnhjYqhMlEbboiYFHnERJgi164mBwEiUBX4uelpbGFj0BsFUnSgJs0RMLjziJEhxb9MTD4CRKYGzRExNbdaIExhY9MfGIkyhBsUVPXAxOogTEFj2xsVUnSkBs0RMbjziJEgxb9MTH4CRKIGzRkwNbdaIEwhY9OfCIkyhBsEVPHgxOogTAFj25sFUnSgBs0ZMLjziJ4owtevJhcBLFEVv05MRWnSiOpLboTpcbZ+xODLi9SDHoMMWSilQj/xrHGv/EieIk3Ba99YIDuxtsqDvZCVt3P8Rh8wQA1kwTKopzsKLcisKJ6YrXTQxOorgIp0Xv6O7H+tomHGnrgl4nwOMVRy0jAmjv7sfOhnbs+OAM5hdkYdOyWcjPNCn8DbSN5ziJ4sDXor/22mt+W/SaRhsWvXgIR0/ZAcBvaA7nm3/0lB2LXjyEmkab7DXTl3jESRRjoVr0l+tasWV/S0Tb9nhFeLwinv19E7r6XFhTURhtueQHg5MohkK16DWNNr+h2feXg7C//XO/28yY/V1M+PpDoz7fsr8F2WlGLC+zRls2XYfBSRRDwUbRO7r7sWFvc9D1zfNXwGC+YcRnKdmTAy7/3N5mzL0pi+c8ZcbgJIqRUC36+tomuEOcyxw37Q4Yc8Nvv91eEetrm7BzdbnkeikwDg4RxUCoFr31ggNH2rpCDgJJ5fGKONLWhbZOh6zb1TpJwblx40YIgjBimj59ulK1EalGqFH03Q026HVCyO14XU54+ntGTKHodQJ2HeMou5wkt+olJSU4ePDglxswsNsnCiacC93rTnaGdbTZWfPTUZ9NfvatoOt4vCLqWjqxESXhFUwhSU49g8GAG264IfSCRBTWhe59Ljds3f1hbS9z8WMwZN4ouQ6bvR9Ol5u3Z8pE8p9ia2sr8vLyMHbsWMyZMwfV1dWwWgNf7uByueByuYZ+7u3tjaxSoiT0q1/9KuS96O12J8I9s5mSWyRpcMhHBHDG7kRJnlnyujSapHOc5eXl2LFjB959911s3boVp0+fxvz58+FwBD7xXF1dDbPZPDTl5+dHXTRRMujo6MCTTz4Z8l70Abc3JvXEaj9aICk4lyxZgvvvvx+lpaX45je/ibfffhuXLl3Cb37zm4DrVFVVoaenZ2jq6OiIumiiRCflcXEphthc3BKr/WhBVCc8xo8fj6KiIrS1tQVcxmg0wmg0RrMboqQTTovuM8WSCgEIu12PhHBtPySPqP4J6uvrw+eff47c3Fy56iFKeuG26D6pRgOsCt/ZY7WYODAkI0nB+dRTT+HQoUM4c+YMjh49imXLlkGv1+PBBx9Uqj6ipBLpE90rinPCuo4zEnqdgIqiHEW2rVWS/gn64osv8OCDD8JutyM7Oxtf/epXcezYMWRnZytVH1FSkdKiD7ei3IodH5wJOD+tdBHSShdFVJPHK2LlbD7oQ06SgrOmpkapOoiSntQWfbjCiemYX5CFo6fsst52qdcJmDvNgoIcPhleThxmI5KBHC9d27RsFgwyt+sGnYBNy2bJuk1icBLJwteiB7oXPRz5mSY8v1Te2yJfWFrCR8opgMFJFKVoWvTrPVBmxVOLi2Sp6+nFxXyIsUJ4fQJRFJR4L/qaikJkpRmxYW8z3NdehREuvU6AQSfghaUlDE0FMTiJohDpKHooD5RZMe+mrJBvufTxzZ87zcK3XMYAg5MoQnK26P7kZ5qwc3X5l+9Vb+mEze7nveoWEyqKcrBytpWj5zHC4CSKgBIteiCFE9OxcWkJNqIETpcb7/7PcfzDyh9gz67/wrfm3c47guKAf+JEEVCqRQ8l1WjA1PFjMHCuBVPHj2FoxglH1YkkUrpFp8TH4CSSIJYtOiUuHucTSRCvFp0SC484icLEFp18GJxEYWCLTsOxVScKA1t0Go5HnEQhsEWn6zE4iYJgi07+sFUnCoItOvnDI06iANiiUyAMTiI/2KJTMGzVifxgi07B8IiT6Dps0SkUBifRMGzRKRxs1YmGYYtO4eARJ9E1bNEpXAxOIrBFJ2nYqhOBLTpJwyNO0jy26CQVg5M0jS06RYKtOmkaW3SKBI84SbPYolOkGJykSWzRKRps1UmT2KJTNHjESZrDFp2ixeAkTWGLTnJgq06awhad5MAjTtIMtugkFwYnaQJbdJITW3XSBLboJCcecZLqsUUnuTE4SdXYopMS2KqTqrFFJyXwiJOSktPlxulLg0jJLcLpS4NwutyjlmGLTkrhEScljdYLDuxusKHuZCds3f0QAeSu+nf844EuPHVgH6yZJlQU52BFuRUFOWls0UkxDE5KeB3d/Vhf24QjbV3Q6wR4vOKoZUQA7d392NnQjh0fnMG0cS4cOfYJ/rDnV2zRSXYMTkpoNY02bNjbDPe1sPQXmsP55n/uNCD/0VfRmz1T8RpJexiclLBermvFlv0tEa0r6PTwAnj2903o6nNhTUWhvMWRpjE4KSHVNNr8hmbfXw7C/vbPR3ymM5kxJssKc/nfY9xNd4xaZ8v+FmSnGbG8zKpUuaQxDE5KOB3d/diwtznoMub5K2Aw3wBAhMd5Cc6mg+j87UZkf/c5mAr+btTyz+1txtybspCfaVKoatISXo5ECWd9bdPQOc1Axk27A2kzK5A2cyHM5d/BxJX/CugMcH56yO/ybq+I9bVNSpRLGsTgpITSesGBI21dIQeBrqczpkIYkwJBp/c73+MVcaStC22dDjnKJI2LKjg3b94MQRCwdu1amcohrdvdYINeJ4RczutywtPfA09/Dwb+1o7ufa9AHLiC1JKKgOvodQJ2HbPJWS5pVMTnOBsbG7Ft2zaUlpbKWQ9pXN3JzrCONjtrfjryA/0YWO56AuOm3hpwHY9XRF1LJzaiJNoySeMiCs6+vj6sWLECr732Gv75n/9Z7ppIo/pcbti6+8NaNnPxYzBk3ggA8DgvwtlcD/s7v4AuZRxMxXMDrmez98PpciPVyHFRilxErXplZSXuvvtuLFq0KOSyLpcLvb29IyYif9rtToR7ZjMltwjjpnwF46Z8BWklFci5fwPGWPLRfeCXED2DAdcTAZyxO2Wpl7RLcnDW1NTgo48+QnV1dVjLV1dXw2w2D035+fmSiyRtGHB7I15XEHQYO7kUnr5uDHafVWw/RIDE4Ozo6MATTzyB3bt3Y+zYsWGtU1VVhZ6enqGpo6MjokJJ/VIMUV7k4fUAAMTBK8ruhzRP0ome48ePo7OzE7fddtvQZx6PB4cPH8bLL78Ml8sFvX7k5SBGoxFGo1GeaknVplhSIQBht+vDiR43Lp/+GNAbMMYSuKsRru2HKBqSgvPOO+9EU9PIi4h/+MMfYvr06XjmmWdGhSaRFKlGA6yZJrSHMUB0+dSHGLR/AQDw9l+C89NDcF88i4zZ34XOGPjuIKvFxIEhipqk36D09HTMnDnyaTOpqamwWCyjPieKREVxDnY2tIe8JKnnyO6h/xYMKTBkTkLmN/8P0r6yJOA6ep2AiqIc2Wol7eI/vZRQVpRbseODMwHnp5UuQlpp6Ks5/PF4RayczQd9UPSiDs76+noZyiC6qnBiOuYXZOHoKbvk2y6D0esEzJ1mQUFOumzbJO3i8CIlnE3LZsEQxm2XUhh0AjYtmyXrNkm7GJyUcPIzTaicnS3rNp9eOJmPlCPZMDgp4bS1teHfHl0GffPbsmxv8MP/xi+eeABdXV2ybI+IwUkJpa2tDRUVFTCZTHh/20+x+TuzYDTownpi0nB6nQCjQYeffWcWDrz0FC5cuICFCxcyPEkWDE5KGMNDs76+Hrm5uXigzIqD6xZg7jQLAIQMUN/8udMsOLhuAZaXWTFjxgzU1dUxPEk2vByJEoK/0PTJzzRh5+ryL9+r3tIJm71/xB1GAq5e3F5RlIOVs62jRs994VlRUYGFCxfivffeQ1ZWVmy+HKkOg5PiLlhoDlc4MR0bl5ZgI0rgdLlxxu7EgNuLFIMOUyypIe8IYniSXNiqU1yFG5rXSzUaUJJnxq3WCSjJM4d9GyXbdpIDg5PiJtLQjBbDk6LF4KS4iFdo+jA8KRoMToq5eIemD8OTIsXgpJhKlND0YXhSJBicFDOJFpo+DE+SisFJMZGooenD8CQpGJykuEQPTR+GJ4WLwUmKSpbQ9GF4UjgYnKSYZAtNH4YnhcLgJEUka2j6MDwpGAYnyS7ZQ9OH4UmBMDhJVmoJTR+GJ/nD4CTZqC00fRiedD0GJ8lCraHpw/Ck4RicFDW1h6YPw5N8GJwUFa2Epg/DkwAGJ0VBa6Hpw/AkBidFRKuh6cPw1DYGJ0mm9dD0YXhqF4OTJGFojsTw1CYGJ4WNoekfw1N7GJwUFoZmcAxPbWFwUkgMzfAwPLWDwUlBMTSlYXhqA4OTAmJoRobhqX4MTvKLoRkdhqe6MThpFIamPBie6sXgpBEYmvJieKoTg5OGMDSVwfBUHwYnAWBoKo3hqS4MTmJoxgjDUz0YnBrH0Iwthqc6MDg1jKEZHwzP5Mfg1CiGZnxFGp5OlxunLw0iJbcIpy8NwulyK1wp+SOIoijGcoe9vb0wm83o6elBRkZGLHdN1zA0E8enn36KiooKTJw4Ee+99x6ysrJGLdN6wYHdDTbUneyErbsfw//CCgCsmSZUFOdgRbkVhRPTY1a72kjJJganxjA0E0+g8Ozo7sf62iYcaeuCXifA4w38V9U3f35BFjYtm4X8TFOsylcNKdnEVl1DGJqJyV/bXtNow6IXD+HoKTsABA3N4fOPnrJj0YuHUNNoU7xuLeMRp0YwNBOf78hz/LzlcBV/M+rtPbW4CGsqCmWoTBukZJMhRjVRHDE0k8OMGTPwzKt78YtjoweK+v5yEPa3fx5w3Ru+vwXGG6eP+GzL/hZkpxmxvMwqd6max+BUOYZm8ujo7se2D7uDLmOevwIG8w2jPjdM8P//9bm9zZh7UxbPecqMwaliDM3ksr62Ce4Q5zLHTbsDxtzw22+3V8T62ibsXF0ebXk0DAeHVIqhmVxaLzhwpK0r5CCQVB6viCNtXWjrdMi6Xa2TFJxbt25FaWkpMjIykJGRgTlz5uCdd95RqjaKEEMz+exusEGvE0Iu53U54envGTld7g26jl4nYNcxjrLLSVKrPmnSJGzevBmFhYUQRRFvvPEG7rvvPnz88ccoKSlRqkaSgKGZnOpOdoZ1tNlZ89PRH+rHYPLTtQHX8XhF1LV0YiP4d1QukoLz3nvvHfHzv/zLv2Dr1q04duwYgzMBMDSTU5/LDVt3f1jLZi5+DIbMG0d8JgihG0ebvR9OlxupRg5ryCHiP0WPx4Pf/va3cDqdmDNnTsDlXC4XXC7X0M+9vcHbCooMQzN5tdudCPfMZkpukaTBIR8RwBm7EyV5Zsnr0miSB4eampqQlpYGo9GIRx99FLW1tZgxY0bA5aurq2E2m4em/Pz8qAqm0RiayW3A7VXVfrRAcnAWFxfjk08+QUNDAx577DGsWrUKn376acDlq6qq0NPTMzR1dHREVTCNxNBMfimG2FzcEqv9aIHkVj0lJQUFBQUAgNtvvx2NjY146aWXsG3bNr/LG41GGI3G6Kokvxia6jDFkgoBCLtdj4RwbT8kj6jPFHu93hHnMCk2GJrqkWo0wJppQnsYA0SXT32IQfsXoz43TroZY8aPvqPIx2oxcWBIRpL+JKuqqrBkyRJYrVY4HA7s2bMH9fX12Ldvn1L1kR8MTfWpKM7Bzob2kJck9RzZ7fdzy11rAwanXiegoign6hrpS5KCs7OzEz/4wQ9w7tw5mM1mlJaWYt++ffjGN76hVH10HYamOq0ot2LHB2cCzk8rXYS00kURbdvjFbFyNh/0ISdJwfn6668rVQeFgaGpXoUT0zG/IAtHT9llve1SrxMwd5oFBTl8MrycOMyWJBia6rdp2SwYwrjtUgqDTsCmZbNk3SYxOJMCQ1Mb8jNNeH6pvHfgvbC0hI+UUwCDM8ExNLXlgTIrnlpcJMu2nl5czIcYK4TXJyQwhqY2rakoRFaaERv2NsPtFSWd89TrBBh0Al5YWsLQVBCPOBMUQ1PbHiiz4uC6BZg7zQIAIR8555s/d5oFB9ctYGgqjEecCYihScDVc547V5d/+V71lk7Y7H7eq24xoaIoBytnWzl6HiN8y2WCYWhSME6XG2fsTgy4vUgx6DDFkso7gmTCt1wmKYYmhZJqNPDRcAmA5zgTBEOTKHkwOBMAQ5MouTA444yhSZR8GJxxxNAkSk4MzjhhaBIlLwZnHDA0iZIbgzPGGJpEyY/BGUMMTSJ1YHDGCEOTSD0YnDHA0CRSFwanwhiaROrD4FQQQ5NInRicCmFoEqkXg1MBDE0idWNwyoyhSaR+DE4ZMTSJtIHBKROGJpF2MDhlwNAk0hYGZ5QYmkTaw+CMAkOTSJsYnBFiaBJpF4MzAgxNIm1jcErE0CQiBqcEDE0iAhicYWNoEpEPgzMMDE0iGo7BGQJDk4iux+AMgqFJRP4wOANgaBJRIAxOPxiaRBQMg/M6DE0iCoXBOQxDk4jCweC8hqFJROEyxLsAuTldbpyxOzHg9iLFoMMUSypSjcG/JkOTiKRQRXC2XnBgd4MNdSc7YevuhzhsngDAmmlCRXEOVpRbUTgxfcS6DE0ikkoQRVEMvZh8ent7YTab0dPTg4yMjKi21dHdj/W1TTjS1gW9ToDHG/ir+ObPL8jCpmWzkJ9pYmgS0RAp2ZS0R5w1jTZs2NsM97WwDBaaw+cfPWXHohcPoXJ2Nv7t0WUMTSKSLCkHh16ua8Wzv2+Cy+0NGZjX83hFuNxe/Pv7F5By61KGJhFJlnTBWdNow5b9LbJsy1NyFw5/MSjLtohIO5IqODu6+7Fhb3PI5Rwf/RHtm+/BuTeeDLnsc3ub0dHdL0d5RKQRSRWc62ubhs5pBuNsrofePBED51owePFs0GXdXhHra5vkKpGINCBpgrP1ggNH2rpCntMcvHQerr9+hsyFq6EzmeFsrg+6vMcr4khbF9o6HTJWS0RqJik4q6urUVZWhvT0dOTk5ODb3/42Tp48qVRtI+xusEGvE0Iu52yuh25sGsYVlMFUPC9kcAJXL1XadcwmQ5VEpAWSgvPQoUOorKzEsWPHcODAAQwODmLx4sVwOp1K1Tek7mRnWCPozk/rYSqaC0E/Bqkzvgb3xbNwnQs+mOTxiqhr6ZSrVCJSOUnXcb777rsjft6xYwdycnJw/PhxfO1rX5O1sOH6XG7YwhjAcZ1vg9v+BUzfeBQAYJxUAn16FpzN9TDmFgVd12bvh9PlDnl7JhFRVOc4e3p6AACZmZkBl3G5XOjt7R0xSdVudyKcqzWdzXXQpY7HWOssAIAgCEi9eT6cnx2G6PUEXVcEcMau/JEzESW/iIPT6/Vi7dq1mDdvHmbOnBlwuerqapjN5qEpPz9f8r4G3N6Qy4heD/o/O4Kx1lK4ey5g8OJZDF48i5S8Ynidl3Cl/c+y7IeIKOK+tLKyEidOnMD7778fdLmqqio8+eSX11P29vZKDs8UQ+h8v9L+F3j6utH/2WH0f3Z41Hxncz3GTb0t6v0QEUUUnGvWrMFbb72Fw4cPY9KkSUGXNRqNMBqNERXnM8WSCgEI2q47m+uhM41H5uJHR83rb/kA/S0fwDvogm6M/1qEa/shIgpFUnCKoojHH38ctbW1qK+vx9SpU5Wqa4RUowHWTBPaAwwQeQdd6G85CtP0ryJ1+ldHzdenWdD/6SFcbmtA6s3+B7GsFhMHhogoLJJ608rKSuzatQt79uxBeno6zp8/j/Pnz+Py5ctK1Tekojgn4HWcl9saIA5chqmg3O98443FQS+G1+sEVBTlyFUqEamcpODcunUrenp68PWvfx25ublD069//Wul6huyotwa8DpOZ3M9BEMKxk79it/5gqDDuJvKcPnUR/BcHj2q7/GKWDnbKme5RKRiSfUg4++/3oCjp+ySHyUXjF4nYO40C3au9n+0SkTaICWbkmoYedOyWTCEcdulFAadgE3LZsm6TSJSt6QKzvxME55fWiLrNl9YWoL8TJOs2yQidUuq4ASAB8qseGpx8Nsnw/X04mIsL+O5TSKSJimvv1lTUYisNOPQO4eknPPU6wQYdAJeWFrC0CSiiCTdEafPA2VWHFy3AHOnWQAg5CPnfPPnTrPg4LoFDE0iilhSHnH65GeasHN1+ZfvVW/phM3u573qFhMqinKwcrYVBTnpgTZHRBSWpLocKRxOlxtn7E4MuL1IMegwxZLKO4KIKCRNvFc9kFSjASV55niXQUQqlrTnOImI4oXBSUQkEYOTiEgiBicRkUQMTiIiiRicREQSMTiJiCRicBIRScTgJCKSiMFJRCQRg5OISCIGJxGRRAxOIiKJGJxERBIxOImIJGJwEhFJFPMHGfseON/b2xvrXRMRBeTLpHBeihHz4HQ4HACA/Pz8WO+aiCgkh8MBszn4WyRi/s4hr9eLs2fPIj09HYIQ/M2Ukert7UV+fj46OjoUea9RIuJ31sZ3BrT5vWPxnUVRhMPhQF5eHnS64GcxY37EqdPpMGnSpJjsKyMjQzO/WD78ztqhxe+t9HcOdaTpw8EhIiKJGJxERBKpMjiNRiM2bNgAo9EY71Jiht9ZO7T4vRPtO8d8cIiIKNmp8oiTiEhJDE4iIokYnEREEjE4iYgkUlVwHj58GPfeey/y8vIgCALefPPNeJekuOrqapSVlSE9PR05OTn49re/jZMnT8a7LEVt3boVpaWlQxdDz5kzB++88068y4qpzZs3QxAErF27Nt6lKGbjxo0QBGHENH369HiXBUBlwel0OnHLLbfglVdeiXcpMXPo0CFUVlbi2LFjOHDgAAYHB7F48WI4nc54l6aYSZMmYfPmzTh+/Dg+/PBDLFy4EPfddx+am5vjXVpMNDY2Ytu2bSgtLY13KYorKSnBuXPnhqb3338/3iVdJaoUALG2tjbeZcRcZ2enCEA8dOhQvEuJqQkTJoj/+Z//Ge8yFOdwOMTCwkLxwIED4oIFC8Qnnngi3iUpZsOGDeItt9wS7zL8UtURJwE9PT0AgMzMzDhXEhsejwc1NTVwOp2YM2dOvMtRXGVlJe6++24sWrQo3qXERGtrK/Ly8jBt2jSsWLECNpst3iUBiMNDPkg5Xq8Xa9euxbx58zBz5sx4l6OopqYmzJkzB1euXEFaWhpqa2sxY8aMeJelqJqaGnz00UdobGyMdykxUV5ejh07dqC4uBjnzp3D888/j/nz5+PEiRNIT0+Pa20MThWprKzEiRMnEuc8kIKKi4vxySefoKenB7/73e+watUqHDp0SLXh2dHRgSeeeAIHDhzA2LFj411OTCxZsmTov0tLS1FeXo7JkyfjN7/5DVavXh3HyhicqrFmzRq89dZbOHz4cMwe2xdPKSkpKCgoAADcfvvtaGxsxEsvvYRt27bFuTJlHD9+HJ2dnbjtttuGPvN4PDh8+DBefvlluFwu6PX6OFaovPHjx6OoqAhtbW3xLoXBmexEUcTjjz+O2tpa1NfXY+rUqfEuKS68Xi9cLle8y1DMnXfeiaamphGf/fCHP8T06dPxzDPPqD40AaCvrw+ff/45vv/978e7FHUFZ19f34h/jU6fPo1PPvkEmZmZsFqtcaxMOZWVldizZw/+8Ic/ID09HefPnwdw9YGs48aNi3N1yqiqqsKSJUtgtVrhcDiwZ88e1NfXY9++ffEuTTHp6emjzlunpqbCYrGo9nz2U089hXvvvReTJ0/G2bNnsWHDBuj1ejz44IPxLk1dlyPV1dWJAEZNq1atindpivH3fQGI27dvj3dpinn44YfFyZMniykpKWJ2drZ45513ivv37493WTGn9suRli9fLubm5oopKSnijTfeKC5fvlxsa2uLd1miKIoiHytHRCQRr+MkIpKIwUlEJBGDk4hIIgYnEZFEDE4iIokYnEREEjE4iYgkYnASEUnE4CQikojBSUQkEYOTiEgiBicRkUT/H/MO2c9rRPDUAAAAAElFTkSuQmCC",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAU4AAAGdCAYAAAB9+ZroAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAArlUlEQVR4nO3de3BT95028OdIsgWSL8QyIjhI3GyTYOyUJtRgSqkJoYUQGtKm0A1d0lx2sws0gaZvAu9OIZnUprO8m2aXvkxIW1IgGffttm48bUOAjbmkFGrIpjhOFtvhIjcBu5YTS5ZBRtJ5/yAyNtbtSOfocs7zmdFM8Ll9xTgPv+/5nYsgiqIIIiKKmS7VBRARZRoGJxGRRAxOIiKJGJxERBIxOImIJGJwEhFJxOAkIpKIwUlEJJEh2QcMBAL4+OOPkZubC0EQkn14IqKQRFGE2+1GUVERdLrIY8qkB+fHH38Mm82W7MMSEcWko6MDEyZMiLhO0oMzNzcXwLXi8vLykn14IqKQXC4XbDbbYEZFkvTgDLbneXl5DE4iSjuxnELk5BARkUQMTiIiiRicREQSMTiJiCRicBIRScTgJCKSiMFJRCQRg5OISCIGJxGRRAxOIiKJGJxERBIxOImIJGJwEhFJxOAkIpKIwUlEJBGDk4hIoqQ/yJiISAqP14fzTg8GfAFkG3SYZDHDbExtdDE4iSjttHW68eoJBxrPdMHR0w9xyDIBgL3AhOppVjxYaUfJuOivupCbIIqiGH01+bhcLuTn56O3t5evziCiYTp6+rGpvhlH27uh1wnwB8LHU3D5vOJC1Cwvh63AlNCxpWQTz3ESUVqoa3Jg4QuHceysEwAihubQ5cfOOrHwhcOoa3IoXmMQW3UiSrntjW3Ytr81rm39ARH+gIhnftOM7j4v1laXyFzdSBxxElFK1TU54g7NG23b34pfJmHkyREnEaVMR08/Nje0RFxnoOscXE2v44qjGf6+Hgg6PbIKboHptnnIuf0r0I8ePjn0g4YWVE0tTPicZyQMTiJKmU31zfBFOJfpfncfevbvQFbBLcivvB9ZFhvEgB8Dl9rQ999vwPvR/8D69X8Zto0vIGJTfTP2PFKpWN0MTiJKibZON462d4dd7v3oA/S8+X8xavJMWO//FwiGrMFloyfPRN4XluPy2XdGbOcPiDja3o32LjeKrcpcqiTpHOekSZMgCMKIz5o1axQpjojU69UTDuh1Qtjlvcf+HyAIsHx17bDQDBL0WTCVhB5V6nUC9h5X7lynpOBsamrCxYsXBz8HDhwAADzwwAOKFEdE6tV4pivsJUdiwI8rjtPIvrkYhryxkvftD4hobO1KtMSwJLXqY8cO/wJbt27F1KlTMX/+fFmLIiJ16/P64OjpD7s8cNkF8aoXhvxxcR/D4eyHx+tT5PbMuC9HGhgYwN69e/Hwww9DEMIPt71eL1wu17APEWnbBacHSt+yKAI47/Qosu+4g/O3v/0tPv30Uzz00EMR16utrUV+fv7gx2azxXtIIlKJAV8g4nLd6DwIWUb4ejsVPU684g7On/3sZ1i8eDGKiooirrdx40b09vYOfjo6OuI9JBGpRLYhcvQIOj1GTbwdA5fa4XOFn3lP9DjximuvFy5cwMGDB/Hoo49GXddoNCIvL2/Yh4i0bZLFjPAn+K7Jn/MAIIpw7vsPiP6rI5aLfh/6206E3V747DhKiOus6a5du2C1WnHPPffIXQ8RaYDZaIC9wIQLESaIjLfchoKv/DN69u/AxVeeRO7MJcgqtF+7AL7zQ/S9uw9ZhRPDXpJkt5gUe26n5L0GAgHs2rULq1evhsHA6+eJSDq3243cPgfEwE0QdPqw6+V+7qswji+Fq+l19B7/T/g9n0DQGZBVcAvM07+M3DuWhtxOrxNQXWpVqnzpwXnw4EE4HA48/PDDStRDRCrmdrvxk5/8BNu2bcPlrHyMfejfo26TPW4KCpeul3Qcf0DEqtn2eMuMSvI5zkWLFkEURZSWlipRDxGpkNvtxtatWzF58mRs3rwZK1aswP/8+RDmFRdGvHsoHnqdgHnFhYrdbgnwsXJEpKBQgdne3o6f/OQnsNlsqFleDoPMwWnQCahZXi7rPm/E4CQi2UULzCBbgQnPLiuT9djPLStT9JFyAJ+OREQyGnoO0+1249FHH8UzzzwT8caXlbPs+Jvbi/9zoBWiKEa8EzGa7y+ahhWzlDu3GcTgJKKExROYQ5nPH4XzD7/EzUu/iwAiv6TtRnqdAINOwHPLypISmgBbdSJKQKwteSQdHR1Yv349vvH5Irz1vWpUTbEAQNRJo+DyqikWHFw/P2mhCfD1wEQUh0RHmEGiKGLJkiVobm7Ge++9hzFjxgAY8l711i44nCHeq24xobrUilWz7bLNnkvJJrbqRBQzuQIzaNeuXdi3bx9+//vfD4YmAJSMy8WWZWXYgjJ4vD6cd3ow4Asg26DDJItZsTuCYsXgJKKo5A5M4HqL/tBDD2HJkiVh1zMbDSgryo/7OEpgcBJRWEoEJnCtRf+Hf/gH5Obm4oUXXpCp2uRhcBLRCEoFZlC4Fj1TMDiJaJDSgQnE3qKnMwYnESUlMIHMb9GDGJxEGpaswAzK9BY9iMFJpEHJDkxAHS16EIOTSENSEZiAelr0IAYnkQakKjCD1NKiBzE4iVQs1YEJqKtFD2JwEqlQOgQmoL4WPYjBSaQi6RKYQWpr0YMYnEQqkG6BCaizRQ9icBJlsHQMTEC9LXoQg5MoA6VrYAaptUUPYnASZZB0D0xA3S16EIOTKANkQmAC6m/RgxicRGksUwIzSO0tehCDkygNZVpgAtpo0YMYnERpJBMDE9BOix7E4CRKA5kamEFaadGDGJxEKZTpgQloq0UPYnASpYAaAhPQXosexOAkSiK1BGaQ1lr0IAYnURKoLTABbbboQQxOIgWpMTAB7bboQQxOIgWoNTCDtNqiBzE4iWSk9sAEtN2iBzE4iWSghcAE2KIHMTiJEqCVwAzSeosexOAkioPWAhNgiz4Ug5NIAi0GJsAW/UYMTqIYaDUwg9iiD8fgJIpA64EJsEUPhcFJGcnj9eG804MBXwDZBh0mWcwwG+X7dWZgXsMWPTQGJ2WMtk43Xj3hQOOZLjh6+iEOWSYAsBeYUD3Nigcr7SgZlxvXMRiYw7FFD00QRVGMvpp8XC4X8vPz0dvbi7y8vGQemjJUR08/NtU342h7N/Q6Af5A+F/Z4PJ5xYWoWV4OW4EppmMwMEfq6OjAjBkzcP/992PXrl2pLkdxUrKJwUlpra7Jgc0NLfAFxIiBeSO9ToBBJ+DZZWVYOcsedj0GZmiiKGLJkiVobm7Ge++9p4nRppRsYqtOaWt7Yxu27W+Na1v/Z0H7zG+a0d3nxdrqkmHLGZiRsUWPjMFJaamuyRF3aN5o2/5WjM0xYsUsOwMzBpxFj46tOqWdjp5+LHzhMLy+wIhlfacPwvmHH1//gT4LulFmZFlsGD15JnIqFkFvHjNiO6NBh6+Pfh87/62WgRmBFlv0ILbqlNE21TfDF+V8pmXJk8iyTIAY8MHv6YX3r++j9/iv4TpRj8L7nsboSZ8btv6Vgav4efsVrFixgoEZAVv02OhSXQDRUG2dbhxt7446EZQ1diKMt9yKUbYZMN86FwULH0PRw/8BIXsU/vabH8Lv+WTY+oJOj1GTPof1m7cyNMNgix47ycH50UcfYdWqVbBYLDCZTPjc5z6HU6dOKVEbadCrJxzQ64S4tjXkW3HTgkcgDlyG+7/3jViu1wnYe9yRaImqxAvdpZHUqn/yySeYO3cuqqur8cYbb8BqteLDDz/kkJ5k03imS9JlRzcaPeVOQNDB2/HeiGX+gIjG1i5sQVkiJaoSW3RpJAXnj370I9hstmEXw06aNEnumkij+rw+OHr6E9qHLnsUdKY8+Pt6Qi53OPvh8fpkvT0z07FFl05Sq97Q0IA777wTDzzwAKxWK2bOnImXX3454jZerxcul2vYhyiUC04PZLnEI8JORADnnR45jqIKoijiscceY4sukaTgPHv2LHbs2IGSkhK8+eabePzxx/Hd734Xu3fvDrtNbW0t8vPzBz88MU/hDIS4/EiqwMAVBC67oM8pUPQ4arFr1y68+eab2LlzJ1t0CSQFZyAQwOc//3nU1NRg5syZ+Md//Ec89thj2LFjR9htNm7ciN7e3sFPR0dHwkWTOmUbEr/I4/KHTYAYgNFeruhx1IAtevwk/QaNHz8e06dPH/az2267DQ5H+JlKo9GIvLy8YR+iUCZZzIhvPv0aX28XPmn8OQSjGbkzF4dcR/jsOFrHFj0xks6Qz507F2fOnBn2s9bWVkycOFHWokibzEYD7AUmXIhhgujq3y4AAT/EgB+B/l5c6WhBX/NBCIIO1vv/N/Sm/JDb2S0mTgzheovOWfT4SPoNWr9+PaqqqlBTU4NvfvOb+POf/4ydO3di586dStVHGlM9zYo9Jy5EvSRp8LZLvQE6Yw6yLBOQP/vryLn9K2FDU68TUF1qlbnizMMWPXGS71X/3e9+h40bN6KtrQ2TJ0/Ghg0b8Nhjj8W8Pe9Vp0jaOt24+8dHFNv/wfVfQrE1voccq4Eoili8eDHee+89zd2LHo2i96ovXboUS5cujbs4okhKxuViXnEhjp11JnQh/I30OgFVUyyaDk2ALbpcOL1IaadmeTkMcd52GY5BJ6BmefiZdi1giy4fBielHVuBCc8uk/e2yOeWlcX8Gg014iy6vDi9SGlp5Sw7uvu8sjzM+PuLpmFFhNdnaAFbdHkxOCltra0uQWGOMaF3Dj23rEzzockWXX5s1SmtrZxlx8H181E1xQIAUR85F1xeNcWCg+vnaz402aIrgyNOSnu2AhP2PFJ5/b3qrV1wOEO8V91iQnWpFatm2zU/ex7EFl0ZfOcQZSSP14d9fzyFv1v193ht7258de4dvCPoBlp7L3qipGQTW3XKSGajAZPHZGHgYismj8liaN6ALbqy+NtGpEJs0ZXFESeRynAWXXkMTiIVYYueHGzViVSELXpycMRJpBJs0ZOHwUmkAmzRk4utOpEKsEVPLo44iTIcW/TkY3ASZTC26KnBVp0og7FFTw2OOIkyFFv01GFwEmUgtuipxVadKAOxRU8tjjiJMgxb9NRjcBJlELbo6YGtOlEGYYueHjjiJMoQbNHTB4OTKAMEW/ScnBy26GmArTpRBmCLnl444iRKc2zR0w+DkyiNsUVPT2zVidIYW/T0xBEnUZpii56+GJxEaYgtenpjq06UhtiipzeOOInSDFv09MfgJEojbNEzA1t1ojTCFj0zcMRJlCbYomcOBidRGmCLnlnYqhOlAbbomYUjTqIUY4ueeRicRCnEFj0zsVUnSiGpLbrH68N5pwcDvgCyDTpMsphhNvJ/42Tj3zhRisTaord1uvHqCQcaz3TB0dMPccgyAYC9wITqaVY8WGlHybhcxesmBidRSsTSonf09GNTfTOOtndDrxPgD4gj1hEBXOjpx54TF/DKn85jXnEhapaXw1ZgUvgbaBvPcRKlQLBFf/nll0O26HVNDix84TCOnXUCQMjQHCq4/NhZJxa+cBh1TQ7Za6brOOIkSrJoLfr2xjZs298a1779ARH+gIhnftOM7j4v1laXJFouhcARJ1ESRWvR65occYfmjbbtb8UvOfJUBEecREkUaRa9o6cfmxtaQm7Xd/ognH/4cchleV9YjpsWPBJy2Q8aWlA1tZDnPGXG4CRKkmgt+qb6ZviinMu0LHkSWZYJw36mzykIu74vIGJTfTP2PFIZX9EUEoOTKAmitehtnW4cbe+Oup+ssRNhHB/7eUt/QMTR9m60d7lRbOWlSnKRdI5zy5YtEARh2Ofmm29WqjYi1Yg2i/7qCQf0OkGRY+t1AvYe57lOOUmeHCorK8PFixcHP83NzUrURaQasVzo3nimK+olRwAAMQAx4B/2icYfENHY2iW1bIpAcqtuMBg4yiSKUSwXuvd5fXD09Me0v0u7vzfiZ/b/9ToEnT7idg5nPzxeH2/PlInkv8W2tjYUFRXBaDSisrISNTU1mDJlStj1vV4vvF7v4J9dLld8lRJloJ///OdR70W/4PQghrEmAMCydAOyLLZhP4sWmsC1O4zOOz0oK8qP8UgUiaRWvbKyErt37x48V3Pp0iVUVVXB6XSG3aa2thb5+fmDH5vNFnZdIjXp6OjAhg0bot6LPuALxLzPLIsNxvElwz6xknIcikxScC5evBhf//rXUV5ejoULF+L3v/89AOAXv/hF2G02btyI3t7ewU9HR0diFRNlACmPi8s2JOc+lGQdRwsSOuFhNptRXl6Otra2sOsYjUYYjcZEDkOUcWJp0YMmWcwQgJjb9XgInx2H5JHQP0FerxcffPABxo8fL1c9RBkv1hY9yGw0wK7wnT12i4kTQzKSFJxPPfUUDh8+jHPnzuHEiRP4xje+AZfLhdWrVytVH1FGifeJ7tXTrIpex1ldalVk31ol6Z+gv/71r/jWt76F7u5ujB07FrNnz8bx48cxceJEpeojyihSWvShHqy045U/nQ+7PKdiIXIqFsZVkz8gYtVse1zbUmiSgrOurk6pOogyntQWfaiScbmYV1yIY2edsV0IHyO9TkDVFAtvt5QZp9mIZCDHS9dqlpfDIHO7btAJqFleLus+icFJJItgix7uXvRY2ApMeHZZmax1PbesjI+UUwCDkyhBibToN1o5y46nFpXKUtf3F03Dilk8t6kEXp9AlAAl3ou+troEhTlGbG5oge+zV2HESq8TYNAJeG5ZGUNTQQxOogTEO4sezcpZdsydWhj1LZdBweVVUyx8y2USMDiJ4iRnix6KrcCEPY9UXn+vemsXHM4Q71W3mFBdasWq2XbOnicJg5MoDkq06OGUjMvFlmVl2IIyeLw+7PvjKfzdqr/Ha3t346tz7+AdQSnAv3GiOCjVokdjNhoweUwWBi62YvKYLIZminBWnUgipVt0Sn8MTiIJktmiU/riOJ9IglS16JReOOIkihFbdApicBLFgC06DcVWnSgGbNFpKI44iaJgi043YnASRcAWnUJhq04UAVt0CoUjTqIw2KJTOAxOohDYolMkbNWJQmCLTpFwxEl0A7boFA2Dk2gItugUC7bqREOwRadYcMRJ9Bm26BQrBicR2KKTNGzVicAWnaThiJM0jy06ScXgJE1ji07xYKtOmsYWneLBESdpFlt0iheDkzSJLTolgq06aRJbdEoER5ykOWzRKVEMTtIUtugkB7bqpCls0UkOHHGSZrBFJ7kwOEkT2KKTnNiqkyawRSc5ccRJqscWneTG4CRVY4tOSmCrTqrGFp2UwBEnZSSP14dzn15F9vhSnPv0Kjxe34h12KKTUjjipIzR1unGqyccaDzTBUdPP0QA41f/G753oBtPHXgT9gITqqdZ8WClHcXWHLbopBgGJ6W9jp5+bKpvxtH2buh1AvwBccQ6IoALPf3Yc+ICXvnTeUwZ7cXR4+/i9dd+zhadZMfgpLRW1+TA5oYW+D4Ly1ChOVRw+YceA2yP74Rr7AzFayTtYXBS2tre2IZt+1vj2lbQ6REA8MxvmtHd58Xa6hJ5iyNN4+QQpaW6JkfcoXmjbftb8csmhyz7IgI44qQ01NHTj80NLSGX9Z0+COcffjzsZ7rRecgqtCOv8n6Yir8QcrsfNLSgamohbAUmucslDeKIk9LOpvrmwXOa4ViWPImbv70NN3/7X2H56loIOh3+9p/Pob/tRMj1fQERm+qblSiXNIjBSWmlrdONo+3dUSeBssZOhPGWW2G85TaYplVh7Dc2A/oseD44EnJ9f0DE0fZutHe5lSibNCah4KytrYUgCHjyySdlKoe07tUTDuh1guTtBEM2BL0Bgk4fdh29TsDe4zzXSYmLOzibmpqwc+dOVFRUyFkPaVzjma6oo00AgBiAGPBD9Pvgc3Xjk4M7IV71wjx9fthN/AERja1dMlZLWhXX5FBfXx8efPBBvPzyy3j++eflrok0qs/rg6OnP6Z1L+3+3vAf6LNQcPfjGD3ljojbOZz98Hh9MBs5L0rxi+u3Z82aNbjnnnuwcOHCqMHp9Xrh9XoH/+xyueI5JGnABacHMYw1AQCWpRuQZbEBAAKXXehv/RN69u+AKPqRd8e9YbcTAZx3elBWlJ94waRZkoOzrq4O77zzDpqammJav7a2Fs8++6zkwkh7BnyBmNfNsthgHH/9ovbRU+6Ar7cLnza+gpyyauhG5chyHKJQJJ3j7OjowBNPPIG9e/di1KhRMW2zceNG9Pb2Dn46OjriKpTUL9uQ2EUe2dZJEH1eXO35SNHjEEkacZ46dQpdXV24447r55H8fj+OHDmC7du3w+v1Qq8fPqtpNBphNBrlqZZUbZLFDAGIuV2/0UDnOQCAzhS+DRc+Ow5RIiQF51133YXm5uEXEX/nO9/BrbfeiqeffnpEaBJJYTYaYC8w4UIME0RX/3YBCPgBAP7LbvS3HsOV8/+N0aVzkDXm5rDb2S0mTgxRwiT9BuXm5mLGjOFPmzGbzbBYLCN+ThSP6mlW7DlxIeolSUNvuxSMZhjyx+GmBY8i9/P3hN1GrxNQXWqVq1TSMP7TS2nlwUo7XvnT+bDLcyoWIqdiYVz79gdErJptj7MyousSDs5Dhw7JUAbRNSXjcjGvuBDHzjpjuxA+RnqdgKopFhRbc2XbJ2kXpxcp7dQsL4chjtsuIzHoBNQsL5d1n6RdDE5KO7YCE9bMHivrPr+/YCIfKUeyYXBS2mlvb8e/Pr4c+pY/yLK/qyd/jX9/YiW6u7tl2R8Rg5PSSnt7O6qrq2EymfD2S/+CrfeXw2jQSX5ikl4nwGjQ4Uf3l+PAi0+hs7MTCxYsYHiSLBiclDaGhuahQ4cwfvx4rJxlx8H181E1xQIAUQM0uLxqigUH18/Hill2TJ8+HY2NjQxPkg0vR6K0ECo0g2wFJux5pPL6e9Vbu+Bw9g+7w0jAtYvbq0utWDXbPmL2PBie1dXVWLBgAd566y0UFhYm58uR6jA4KeUiheZQJeNysWVZGbagDB6vD+edHgz4Asg26DDJYo56RxDDk+TCVp1SKtbQvJHZaEBZUT5m2m9CWVF+zLdRsm0nOTA4KWXiDc1EMTwpUQxOSolUhWYQw5MSweCkpEt1aAYxPCleDE5KqnQJzSCGJ8WDwUlJk26hGcTwJKkYnJQU6RqaQQxPkoLBSYpL99AMYnhSrBicpKhMCc0ghifFgsFJism00AxieFI0DE5SRKaGZhDDkyJhcJLsMj00gxieFA6Dk2SlltAMYnhSKAxOko3aQjOI4Uk3YnCSLNQamkEMTxqKwUkJU3toBjE8KYjBSQnRSmgGMTwJYHBSArQWmkEMT2JwUly0GppBDE9tY3CSZFoPzSCGp3YxOEkShuZwDE9tYnBSzBiaoTE8tYfBSTFhaEbG8NQWBidFxdCMDcNTOxicFBFDUxqGpzYwOCkshmZ8GJ7qx+CkkBiaiWF4qhuDk0ZgaMqD4aleDE4ahqEpL4anOjE4aRBDUxkMT/VhcBIAhqbSGJ7qwuAkhmaSMDzVg8GpcQzN5GJ4qgODU8MYmqnB8Mx8DE6NYmimVrzh6fH6cO7Tq8geX4pzn16Fx+tTuFIKRRBFUUzmAV0uF/Lz89Hb24u8vLxkHpo+w9BMH++//z6qq6sxbtw4vPXWWygsLByxTlunG6+ecKDxTBccPf0Y+j+sAMBeYEL1NCserLSjZFxu0mpXGynZxODUGIZm+gkXnh09/dhU34yj7d3Q6wT4A+H/Vw0un1dciJrl5bAVmJJVvmpIySa26hrC0ExPodr2uiYHFr5wGMfOOgEgYmgOXX7srBMLXziMuiaH4nVrGUecGsHQTH/BkeeYuSvgnfaVhPf31KJSrK0ukaEybeCIk4ZhaGaG6dOn4+mdDbKEJgBs29+KX3LkqQhDqgsgZTE0M0dHTz9eOtkTclnf6YNw/uHHYbcd960ajJpYMeLnP2hoQdXUQp7zlBmDU8UYmpllU30zfFHOZVqWPIksy4QRP88qtIdc3xcQsam+GXseqZSlRrqGwalSDM3M0tbpxtH26NdyZo2dCOP42M9b+gMijrZ3o73LjWIrL1WSi6RznDt27EBFRQXy8vKQl5eHOXPm4I033lCqNooTQzPzvHrCAb1OUGTfep2Avcd5rlNOkoJzwoQJ2Lp1K06ePImTJ09iwYIF+NrXvoaWlhal6iOJGJqZqfFMV9RLjgAAYgBiwD/iE4k/IKKxtUumSgmQ2Krfe++9w/78wx/+EDt27MDx48dRVlYma2EkHUMzM/V5fXD09Me07qXd3xv5Q0GHiU83RNzO4eyHx+uD2cizc3KI+2/R7/fjV7/6FTweD+bMmRN2Pa/XC6/XO/hnl8sV7yEpAoZm5rrg9CDWi6ktSzcgy2Ib/kMheosvAjjv9KCsKF9yfTSS5OBsbm7GnDlzcOXKFeTk5KC+vh7Tp08Pu35tbS2effbZhIqkyBiamW3AF4h53SyLTdLkULzHocgkXwA/bdo0vPvuuzh+/Dj+6Z/+CatXr8b7778fdv2NGzeit7d38NPR0ZFQwTQcQzPzZRuScx9Kso6jBZJHnNnZ2SguLgYA3HnnnWhqasKLL76Il156KeT6RqMRRqMxsSopJIamOkyymCEAMbfr8RA+Ow7JI+EzxaIoDjuHScnB0FQPs9EAe4EJF2KYILr6twtAiFl0w03joTeFP39pt5g4MSQjSX+TmzZtwuLFi2Gz2eB2u1FXV4dDhw5h3759StVHITA01ad6mhV7TlyIeklSuNsuCxavQ+7toe9x1+sEVJdaEy2RhpAUnJ2dnfj2t7+NixcvIj8/HxUVFdi3bx/uvvtupeqjGzA01enBSjte+dP5sMtzKhYip2JhXPv2B0Ssmh36lkyKj6Tg/NnPfqZUHRQDhqZ6lYzLxbziQhw764ztQvgY6XUCqqZYeLulzDjNliEYmupXs7wcBplvuzToBNQsL5d1n8TgzAgMTW2wFZjw7DJ578B7blkZHymnAAZnmmNoasvKWXY8tahUln19f9E0rJjFc5tK4PUJaYyhqU1rq0tQmGPE5oYW+AKipHOeep0Ag07Ac8vKGJoK4ogzTTE0tW3lLDsOrp+PqikWAIj6yLng8qopFhxcP5+hqTCOONMQQ5OAa+c89zxSef296q1dcDhDvFfdYkJ1qRWrZts5e54kfMtlmmFoUiQerw/nnR4M+ALINugwyWLmHUEykZJN/BtPIwxNisZsNPDRcGmA5zjTBEOTKHMwONMAQ5MoszA4U4yhSZR5GJwpxNAkykwMzhRhaBJlLgZnCjA0iTIbgzPJGJpEmY/BmUQMTSJ1YHAmCUOTSD0YnEnA0CRSFwanwhiaROrD4FQQQ5NInRicCmFoEqkXg1MBDE0idWNwyoyhSaR+DE4ZMTSJtIHBKROGJpF2MDhlwNAk0hYGZ4IYmkTaw+BMAEOTSJsYnHFiaBJpF4MzDgxNIm1jcErE0CQiBqcEDE0iAhicMWNoElEQgzMGDE0iGorBGQVDk4huxOCMgKFJRKEwOMNgaBJROAzOEBiaRBQJg/MGDE0iiobBOQRDk4hiweD8DEOTiGJlSHUBcvN4fTjv9GDAF0C2QYdJFjPMxshfk6FJRFKoIjjbOt149YQDjWe64OjphzhkmQDAXmBC9TQrHqy0o2Rc7rBtGZpEJJUgiqIYfTX5uFwu5Ofno7e3F3l5eQntq6OnH5vqm3G0vRt6nQB/IPxXCS6fV1yImuXlsBWYGJpENEhKNmXsiLOuyYHNDS3wfRaWkUJz6PJjZ51Y+MJhrJk9Fv/6+HKGJhFJlpGTQ9sb2/DMb5rh9QWiBuaN/AERXl8A//Z2J7JnLmNoEpFkGRecdU0ObNvfKsu+/GVLcOSvV2XZFxFpR0YFZ0dPPzY3tERdz3WyARe2LsXHP/3nqOv+oKEFHT39cpRHRBqRUcG5qb558JxmJH2nDwAArnY74P34TMR1fQERm+qbZamPiLQhY4KzrdONo+3dUc9pei+24WrXOYyeOgsA0PeX/RHX9wdEHG3vRnuXW7ZaiUjdJAVnbW0tZs2ahdzcXFitVtx33304cybyiE4ur55wQK8Toq7Xd/paUI758moYb7kNng+OIHD1SsRt9DoBe487ZKmTiNRPUnAePnwYa9aswfHjx3HgwAH4fD4sWrQIHo9HqfoGNZ7pijraDFz1wvP+EWSPL0H22EkwV9wNceAy+v/njxG38wdENLZ2yVkuEamYpOs49+3bN+zPu3btgtVqxalTp/ClL31J1sKG6vP64IhhAqf/zB8hej3IqVgEADDfNg+f/NfL6PvLfuSU3xVxW4ezHx6vL+rtmURECZ3j7O3tBQAUFBSEXcfr9cLlcg37SHXB6UEsV2v2/WU/BIMR5tuuhbguezRM0+bC+9cWXO35KOK2IoDzTuVHzkSU+eIOTlEUsWHDBnzxi1/EjBkzwq5XW1uL/Pz8wY/NZpN8rAFfIOo6Vz/5GN6OFoyeeicAEYErfQhc6YP51rkArs+0J3ocIqK4+9K1a9fi9OnTePvttyOut3HjRmzYsGHwzy6XS3J4Zhui5/u1YBTRf+aP6D8z8pym5723MOZL34ag0yd0HCKiuIJz3bp1aGhowJEjRzBhwoSI6xqNRhiNxriKC5pkMUMAwrbrYsAPT/N/wTBmPCyL141YfvnDJrj+XI/LZ0/BVPyFkPsQPjsOEVE0koJTFEWsW7cO9fX1OHToECZPnqxUXcOYjQbYC0y4EGaC6PLZU/D39WDMlx/CqIkVI5ZnjZ0I16nfoe8v+8MGp91i4sQQEcVEUm+6Zs0a7N27F6+99hpyc3Nx6dIlXLp0CZcvX1aqvkHV06xhr+Ps+8t+QG9ATsXdIZfrTfkwlc7B5Q+b4Pd8MnK5TkB1qVXWeolIvSQ9j1MQQgfXrl278NBDD8W0j3ifx9nW6cbdPz4S8/pSHVz/JRRbc6OvSESqpNjzOJP8zONhSsblYl5xIY6ddUp+lFwkep2AqikWhiYRxSyjppFrlpfDEMNtl1IYdAJqlpfLuk8iUreMCk5bgQnPLiuTdZ/PLSuDrcAk6z6JSN0yKjgBYOUsO55aVCrLvr6/aBpWzLLLsi8i0o6MvP5mbXUJCnOMg+8cknLOU68TYNAJeG5ZGUOTiOKScSPOoJWz7Di4fj6qplgAIOoj54LLq6ZYcHD9fIYmEcUtI0ecQbYCE/Y8Unn9veqtXXA4Q7xX3WJCdakVq2bbOXtORAnL6Peqh+Lx+nDe6cGAL4Bsgw6TLGbeEUREUWniverhmI0GlBXlp7oMIlKxjD3HSUSUKgxOIiKJGJxERBIxOImIJGJwEhFJxOAkIpKIwUlEJBGDk4hIIgYnEZFEDE4iIokYnEREEjE4iYgkYnASEUnE4CQikojBSUQkEYOTiEiipD/IOPjAeZfLlexDExGFFcykWF6KkfTgdLvdAACbzZbsQxMRReV2u5GfH/ktEkl/51AgEMDHH3+M3NxcCELkN1PGy+VywWazoaOjQ5H3GqUjfmdtfGdAm987Gd9ZFEW43W4UFRVBp4t8FjPpI06dTocJEyYk5Vh5eXma+cUK4nfWDi1+b6W/c7SRZhAnh4iIJGJwEhFJpMrgNBqN2Lx5M4xGY6pLSRp+Z+3Q4vdOt++c9MkhIqJMp8oRJxGRkhicREQSMTiJiCRicBIRSaSq4Dxy5AjuvfdeFBUVQRAE/Pa3v011SYqrra3FrFmzkJubC6vVivvuuw9nzpxJdVmK2rFjByoqKgYvhp4zZw7eeOONVJeVVLW1tRAEAU8++WSqS1HMli1bIAjCsM/NN9+c6rIAqCw4PR4Pbr/9dmzfvj3VpSTN4cOHsWbNGhw/fhwHDhyAz+fDokWL4PF4Ul2aYiZMmICtW7fi5MmTOHnyJBYsWICvfe1raGlpSXVpSdHU1ISdO3eioqIi1aUorqysDBcvXhz8NDc3p7qka0SVAiDW19enuoyk6+rqEgGIhw8fTnUpSXXTTTeJP/3pT1NdhuLcbrdYUlIiHjhwQJw/f774xBNPpLokxWzevFm8/fbbU11GSKoacRLQ29sLACgoKEhxJcnh9/tRV1cHj8eDOXPmpLocxa1Zswb33HMPFi5cmOpSkqKtrQ1FRUWYPHkyVq5cibNnz6a6JAApeMgHKUcURWzYsAFf/OIXMWPGjFSXo6jm5mbMmTMHV65cQU5ODurr6zF9+vRUl6Wouro6vPPOO2hqakp1KUlRWVmJ3bt3o7S0FJ2dnXj++edRVVWFlpYWWCyWlNbG4FSRtWvX4vTp03j77bdTXYripk2bhnfffReffvopfv3rX2P16tU4fPiwasOzo6MDTzzxBPbv349Ro0alupykWLx48eB/l5eXY86cOZg6dSp+8YtfYMOGDSmsjMGpGuvWrUNDQwOOHDmStMf2pVJ2djaKi4sBAHfeeSeamprw4osv4qWXXkpxZco4deoUurq6cMcddwz+zO/348iRI9i+fTu8Xi/0en0KK1Se2WxGeXk52traUl0KgzPTiaKIdevWob6+HocOHcLkyZNTXVJKiKIIr9eb6jIUc9ddd42YUf7Od76DW2+9FU8//bTqQxMAvF4vPvjgA8ybNy/VpagrOPv6+tDe3j7453PnzuHdd99FQUEB7HZ7CitTzpo1a/Daa6/h9ddfR25uLi5dugTg2gNZR48eneLqlLFp0yYsXrwYNpsNbrcbdXV1OHToEPbt25fq0hSTm5s74ry12WyGxWJR7fnsp556Cvfeey/sdju6urrw/PPPw+VyYfXq1akuTV2XIzU2NooARnxWr16d6tIUE+r7AhB37dqV6tIU8/DDD4sTJ04Us7OzxbFjx4p33XWXuH///lSXlXRqvxxpxYoV4vjx48WsrCyxqKhIvP/++8WWlpZUlyWKoijysXJERBLxOk4iIokYnEREEjE4iYgkYnASEUnE4CQikojBSUQkEYOTiEgiBicRkUQMTiIiiRicREQSMTiJiCRicBIRSfT/AcYZ1ZVVEwWaAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
        "{'A': (1, 2), 'B': (3, 4), 'C': (5, 7), 'D': (3, 6), 'E': (4, 3), 'F': (4, 5)}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -133,13 +133,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -163,14 +163,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The radius of bounding circle centered at the origin is 3.4197140881138655\n"
+      "The radius of bounding circle centered at the origin is 3.2015621187164243\n"
      ]
     },
     {
@@ -179,13 +179,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -212,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -224,7 +224,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -254,21 +254,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'A': 0.11785113019775861,\n",
-       " 'B': 0.11785113019775795,\n",
-       " 'C': -0.5892556509887904,\n",
-       " 'D': -1.2963624321753375,\n",
-       " 'E': 1.532064692570853,\n",
-       " 'F': 0.11785113019775761}"
+       "{'A': 0.11043152607484681,\n",
+       " 'B': 0.11043152607484658,\n",
+       " 'C': -0.11043152607484681,\n",
+       " 'D': -0.3312945782245397,\n",
+       " 'E': 0.5521576303742327,\n",
+       " 'F': 0.11043152607484646}"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -289,13 +289,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhUAAAGhCAYAAADWV0aAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAABdx0lEQVR4nO3dd1xT5/4H8M9J2AooshyguGsdOCmOilYLiIOqoOLAbe9PvSp2aK+jtrW06q27dbQK7r1nLSJuUQFXXVgVi4IiKoJAIDm/P6zcUsNMwknC5/16PW2TnOc831AN3zxTEEVRBBEREZGGZFIHQERERMaBSQURERFpBZMKIiIi0gomFURERKQVTCqIiIhIK5hUEBERkVYwqSAiIiKtYFJBREREWsGkgoiIiLSCSQURERFphU6Tip9++glNmzaFjY0NbGxs4OnpiYMHD+qySSIiIpKIoMuzP/bu3Qu5XI569epBFEWEh4dj7ty5iI2NxbvvvqurZomIiEgCOk0q1LGzs8PcuXMxYsSIIq9VqVR4+PAhrK2tIQhCGURHRESGShRFvHz5EtWqVYNMpruO+KysLCgUCo3vY2ZmBgsLCy1EpEfEMpKbmytu3LhRNDMzE69du6b2mqysLPHFixd55ffffxcBsLCwsLCwFLs8ePBAZ7/LMjMzRWdHuVbidHZ2FjMzM4vddlRUlNi9e3exatWqIgBx586dhV4fGRmptt1Hjx5p+FMomAl07MqVK/D09ERWVhYqVqyInTt3olGjRmqvDQ0NxaxZs956/sGDB7CxsdF1qEREZMDS0tLg4uICa2trnbWhUCiQ9FiJuxdrwsa69L0haS9VcGt5HwqFoti9FRkZGWjWrBmGDx+O3r17F7utmzdv5vsd6ujoWOJ4i0vnSUWDBg0QFxeHFy9eYNu2bQgODkZUVJTaxGLq1KkICQnJe/zmD8ibiZ5ERERFKYvhchtrmUZJRWn4+vrC19e3xPUcHR1RqVIl7Qekhs6TCjMzM9StWxcA0LJlS5w/fx4LFy7E8uXL37rW3Nwc5ubmug6JiIhII0pRBaWoWX3g9Zfnv9PF70F3d3dkZ2ejcePG+PLLL9GuXTut3v/vynyfCpVKhezs7LJuloiISGtUEDUuAODi4gJbW9u8EhoaqrUYq1atimXLlmH79u3Yvn07XFxc4OXlhZiYGK218U867amYOnUqfH194erqipcvX2LDhg04duwYDh8+rMtmiYiIdEoFFVQa1gfenjOozV6KBg0aoEGDBnmP27Ztizt37mD+/PlYu3at1tr5O50mFY8fP8aQIUPw6NEj2NraomnTpjh8+DC6du2qy2aJiIgMQlnPGWzTpg1Onjyps/vrNKn45ZdfdHl7IiIiSShFEUoNtnnSpK4m4uLiULVqVZ3dX+cTNYmIiIzN3+dFlLZ+SaWnpyM+Pj7v8d27dxEXFwc7Ozu4urpi6tSpSExMxJo1awAACxYsgJubG959911kZWXh559/xtGjR/Hrr7+WOu6iMKkgIiIyABcuXECnTp3yHr/ZgiE4OBhhYWF49OgREhIS8l5XKBSYPHkyEhMTYWVlhaZNm+K3337Ldw9tK/NtuksiLS0Ntra2ePHiBfepICKiQpXF74w3bdy9URXWGuxT8fKlCm4NHxnd7zf2VBAREZWQFMMfhqDM96kgIiIi48SeCiIiohIy1NUfusakgoiIqIRUfxVN6hsjDn8QERGRVrCngoiIqISUEKHUYLKlJnX1GZMKIiKiElKK0PCUUu3Fok+YVBAREZUQ51Sox6SCiIiKTalUIfrSPZyLuYvfbz/CvT9ToVDkwsREhmpOlfBu/apo3tgVHd+rB3Mz/oopb/h/nIiIiqRUqrDr10tYvyMaj5++hFwug1L5v+/buUoV/khIwf3EVOz97QoqVjBHH9/mGNzHAxbmphJGrhsqCFBC0Ki+MWJSQUREhfrz0TN8vfAArt16lPfc3xOKv3vzfHpGNtZsP4dfj1/H9And0PSd6mUSa1lRia+LJvWNEZeUEhFRga7ffoThn6zFjfikEtcVRRHJKWkYN30TIk7d0EF0pG/YU0FERGrdfZCCCV9uRVZ2DlSl/GqtUokQAMz6YT8szU3RtlUd7QYpEaWGwx+a1NVnTCqIiOgtublKzPzvPmQXkVBkpqcg8fYxPH98G4qsNMhkcljZOMO+ejM4ub0Hudz0rx0ZRHy18AA2Lh6OypUqlNXb0BkmFepx+IOIiN6ybmc07iakQFlIQpGadB1xR39ASuJl2FVthNpN/VHzXV+YW1XGvav7cffy7rxrRRF4lanADysjyiJ8kgh7KoiIKJ+s7Bxs2HW+0D0fszJScfP8ephbVkbjDmNgZmGT91rV2u2Q+U4KniVdz1dHpRIReeYWEh6mwrWanY6iLxsqUYBK1GD1hwZ19Rl7KoiIKJ/fTt7Aq0xFodck3o6EKjcbdVsE5Eso3rCsaI9qdTu89bxcJmDXoUtai1Uqb4Y/NCnGiEkFERHlE3XmFgSh8F96qY+uw6KCHWyq1CrRvZUqEUdP39QgOtJnTCqIiCif6/FJEMWCBz9yc7KgyHoBK5uqpbp/Smo6XrzMLG14ekEJmcbFGBnnuyIiolJ5nvYKz9MK/4WvzM0CAMhNzEvdzp17T0pdVx+If82pKG0RjXROBSdqEhFRnsysnCKvkZtYAACUudmlbudVMdrRZ1xSqh57KoiIKI9cVvSvBRNTC5hZ2OBVWsl32fxfO8b5S7W8Y1JBRER5KtlaFusXfmXnd5CV8RRpT++Vqh0ne+tS1dMXSlGmcTFGxvmuiIioVMxMTVDLpUqR11Wv5wWZ3AzxsdugyHr51uuZ6Sl4GH9CbV1TEzlcaxTdhj5TQYAKMg2KcfbUcE4FERHluX//PnJeJUEUZRCEgr93Wla0R/3WQbgVvQ6xv82Fg2tLWNk4Q1Qp8TL1HlISL8PRtdVb9WQyAY3qOcNEzu+0xohJBRFROZeeno7t27cjPDwckZGRqOLkhoZt/6/IelWqvgv3D0KQeDsKqY+uIenuGchkJrCyqQq3xj3gVMvjrToqlYhe3u46eBdlixM11WNSQURUDqlUKkRFRSE8PBzbtm1DRkYGOnfujPDwcPTu3RuffbsXV289LPJ0UsuKDqjbvG+x2hQEwKaiJbw862njLUhK03kRykL2ATFkTCqIiMqR+Ph4rFmzBmvWrMH9+/dRp04dTJkyBYMHD0bNmjXzrps06gOM+HStVtsWRSBk9AcwM+WvHmPF/7NEREbuxYsX2Lp1K8LDw3Hy5EnY2NigX79+CA4ORtu2bdVuyV3PzRHDA9vi502ntBKDTCbg/TZ18UG7hlq5n9ReT9TU4EAxDn8QEZGhUCqViIiIQHh4OHbs2IHs7Gx07doVGzZsgL+/PywtLYu8x5C+7yH28i1cuPa4yLNACiOTCWhYxxn/+bdvqe+hb1QabrWtKvQMWMPFpIKIyIjcuHED4eHhWLt2LRITE9GwYUN8+eWXGDRoEKpXr16ie92+fQvrl32Chq36AlZ1IBMEqEoxF6B1s1r4+pMesLQwK3FdMixMKoiIDNyzZ8+wadMmhIeH49y5c6hcuTL69++PoUOHonXr1qXqZXj06BF8fHzg6OiAPRtmIz4hDbMXH8TTZxkQBKHQA8eEv/5hbmaKiSM6w++Dxhr1dOgjTtRUj0kFEZEBys3NxeHDhxEeHo7du3dDqVTCx8cHW7duRY8ePWBuXvrDvtLS0tCtWzfk5OQgKioKdnZ2aGNnhy0/jsTR07ewdX8Mbv2RDOD1ig6ZIEAUkdeL4exoiz7dmqNbp3dhY130MIsherOJVenrM6kgIiKJXblyBeHh4Vi/fj2SkpLQpEkThIaGIigoCM7OzhrfX6FQoHfv3rh79y5OnDgBV1fXvNfMzU3h2+ld+HZ6Fy9eZuLWnWTcS0xFdnYOTE3lqO5UCQ3rOsPerqLGceg7pShAqcFJo5rU1WdMKoiI9FxKSgo2bNiA8PBwxMTEwN7eHgMHDkRwcDDc3d21NrSgUqkwbNgwnDhxAocPH0aTJk0KvNbW2hKt3WuhtXstrbRNxoFJBRGRHlIoFDhw4ADCw8Oxb98+AED37t0xY8YM+Pr6wsxM+5MeP//8c2zcuBGbN2+Gl5eX1u9vTJQarv5QcviDiIh0SRRFxMbGIjw8HBs2bEBKSgpatGiBH374AQMGDIC9vb3O2l6wYAHmzZuHhQsXIiAgQGftGAuVKINKg4mapVlFYwiYVBARSSwpKQnr169HeHg4rly5AicnJwQHByM4OLjQIQht2bx5MyZNmoTPPvsM//73v3XeHhkvJhVERBLIysrC3r17ER4ejkOHDkEul6NXr1747rvv8OGHH8LEpGw+niMjIzFkyBAMGjQIoaGhZdKmMeDwh3pMKoiIyogoijh//jzCwsKwadMmPHv2DB4eHli8eDH69esHOzu7Mo3n0qVL8Pf3h5eXF3755RfIZDyOvLhU0GwFh0p7oegVJhVERDqWmJiItWvXIjw8HDdu3ED16tUxZswYBAcHo2FDac7CuH//Pnx9fVG3bl1s27ZNJxM/qfxhUkFEpAOZmZnYtWsXwsLC8Ntvv8Hc3BwfffQRFi1ahM6dO0Mul0sW29OnT+Hj4wMLCwvs378f1tbWksViqDTf/Mo4e4WYVBARaYkoijh9+jTCwsKwZcsWpKWloX379lixYgUCAgJgY2MjdYjIzMxEz549kZKSgtOnT2tlw6zySPNtuplUEBGRGvfv38eaNWuwZs0axMfHo2bNmpg4cSKGDBmCOnXqSB1entzcXAwYMABxcXGIjIxEvXr1pA6JjAyTCiKiUkhPT8f27dsRHh6OyMhIVKhQAX379sXKlSvx/vvv692kR1EUMW7cOOzbtw979uxBmzZtpA7JoKkgQAVNJmpym24ionJNpVIhKioK4eHh2LZtGzIyMtCpUyeEh4ejd+/eqFhRf8+8+Oabb7B8+XKsWrUK3bp1kzocg8fhD/WYVBARFeHOnTsIDw/HmjVrcP/+fdSpUweff/45Bg8ejFq1akkdXpF++eUXzJgxA19//TWGDRsmdThGQfN9KowzqdDpuwoNDUXr1q1hbW0NR0dH+Pv74+bNm7pskohIK9LS0vDzzz+jQ4cOqFu3LhYuXIiuXbvi5MmTuH37NqZPn24QCcX+/fsxZswYfPzxx/jPf/4jdThk5HSaVERFRWHs2LE4e/Ysjhw5gpycHHz44YfIyMjQZbNERKWiVCpx5MgRDBw4EM7Ozhg9ejSsrKywfv16PHr0CCtXrkS7du20diqorp07dw4BAQHo0aMHlixZYjBxGwKVKGhcjJFOhz8OHTqU73FYWBgcHR1x8eJFvP/++7psmoio2G7cuIHw8HCsXbsWiYmJaNiwIWbMmIFBgwahRo0aUodXKrdu3YKfnx9atGiBDRs2SLovhjFSaTj8wX0qtODFixcAUOBWtNnZ2cjOzs57nJaWViZxEVH58+zZM2zevBlhYWE4d+4cKleujP79+yM4OBht2rQx6G/1SUlJ8Pb2hqOjI/bs2QNLS0upQ6JyosySCpVKhYkTJ6Jdu3Zo3Lix2mtCQ0Mxa9assgqJiMqZ3NxcHD58GOHh4dizZw9yc3Ph4+ODrVu3okePHjA3N5c6RI2lpaWhW7duUCgUiIqKKvPzRMoLzY8+Z0+FRsaOHYurV6/i5MmTBV4zdepUhISE5D1OS0uDi4tLWYRHREbsypUrCA8Px/r165GUlIQmTZpg9uzZeXMnjIVCoUCfPn1w584dnDx5Eq6urlKHZLSUEKDUYK8JTerqszJJKt5suHL8+PFCxyfNzc2N4psCEUkvJSUFGzZsQHh4OGJiYmBvb4+goCAMHToU7u7uBj28oY5KpcLw4cNx/PhxHD58GE2aNJE6JCqHdNr/8mYHt507d+Lo0aNwc3PTZXNEVM4pFArs3r0bH330EapVq4bJkyfD1dUVO3fuRGJiIhYuXIjmzZsbXUIBAFOmTMGGDRuwdu1aeHl5SR2O0Xsz/KFJKanjx4+jR48eqFatGgRBwK5du4qsc+zYMbRo0QLm5uaoW7cuwsLCSv5mS0CnScXYsWOxbt06bNiwAdbW1khKSkJSUhIyMzN12SwRlSOiKCI2NhYTJkxA9erV4e/vj4SEBMybNw8PHz7Ezp074e/vb9RHey9YsABz587F/PnzERgYKHU45YIS/xsCKV0puYyMDDRr1gxLly4t1vV3796Fn58fOnXqhLi4OEycOBEjR47E4cOHS9F68eh0+OOnn34CgLey5tWrV2Po0KG6bJqIjFxycjLWr1+PsLAwXLlyBU5OTggODkZwcHC56vrfvHkzJk2ahM8++wwTJkyQOhzSIV9fX/j6+hb7+mXLlsHNzQ3//e9/AQDvvPMOTp48ifnz58Pb21snMeo0qRBFUZe3J6JyJjs7G3v37kVYWBgOHToEuVyOXr16ITQ0FN7e3jAxKV8nD0RGRmLIkCEYNGgQQkNDpQ6nXNHW6o9/bp2gzbmFZ86cQZcuXfI95+3tjYkTJ2rl/uoY55oWIjIaoigiOjoaY8eORdWqVREQEICUlBQsXrwYjx49wpYtW+Dn51fuEopLly7B398fXl5e+OWXX/TuVFRj9+ZAMU0KALi4uMDW1javaDM5TEpKgpOTU77nnJyckJaWprNpCOXrbyERGYzExESsW7cOYWFhuHHjBqpXr44xY8YgODgYDRs2lDo8Sd2/fx++vr6oW7cutm3bZtTzRfSVqOHR5+JfdR88eAAbG5u85w19BSSTCiLSG5mZmdi1axfCwsLw22+/wczMDL1798aiRYvQuXNnbjUN4OnTp/Dx8YGFhQX2798Pa2trqUMiDdjY2ORLKrTJ2dkZycnJ+Z5LTk6GjY2NznZZZVJBRJISRRGnT59GWFgYtmzZgrS0NLRv3x7Lly9HQEAAbG1tpQ5Rb2RmZqJnz55ISUnB6dOnjWrjLkPz9yGM0tbXNU9PTxw4cCDfc0eOHIGnp6fO2mRSQUSSuH//PtasWYM1a9YgPj4eNWvWxIQJEzBkyBDUrVtX6vD0Tm5uLgYMGIC4uDhERkaiXr16UodUrml60mhp6qanpyM+Pj7v8d27dxEXFwc7Ozu4urpi6tSpSExMxJo1awAAH3/8MZYsWYLPPvsMw4cPx9GjR7Flyxbs37+/1HEXhUkFEZWZ9PR07NixA2FhYYiMjESFChXQt29frFixAh07duRkwwK82Uhw37592LNnD9q0aSN1SCSBCxcuoFOnTnmP3xxrERwcjLCwMDx69AgJCQl5r7u5uWH//v2YNGkSFi5ciBo1auDnn3/W2XJSgEkFEemYSqXC8ePHERYWhm3btiEjIwOdOnVCWFgY+vTpg4oVK0odot775ptvsHz5cqxatQrdunWTOhwCoNTw6PPS1PXy8ip0qwZ1u2V6eXkhNja2xG2VFpMKItKJO3fu5A1v3Lt3D3Xq1MHnn3+OwYMHo1atWlKHZzB++eUXzJgxA19//TWGDRsmdTj0FymGPwwBkwoi0pq0tDRs3boVYWFhOHnyJGxsbBAYGIjg4GC0a9fOKM/c0KX9+/djzJgx+Pjjj/Gf//xH6nCIisSkgog0olQqcfToUYSHh2PHjh3IyspC165dsX79evj7+8PKykrqEA3SuXPnEBAQgB49emDJkiVMyPSMCjKoNBj+0KSuPmNSQUSlcvPmTYSHh2Pt2rX4888/0bBhQ8yYMQODBg1CjRo1pA7PoN26dQt+fn5o0aIFNmzYwP059JBSFKDUYAhDk7r6jEkFkQG4c+keog/E4uaFeNy9nIDszGyYmJqgej1n1G9VF8283kWLLk10vnri2bNn2Lx5M8LCwnDu3DlUqlQJAwYMQHBwMNq0acNv01qQlJQEb29vODo6Ys+ePTrbpIhIF5hUEOmx03vOY+O3O3AjOh4yuQwQRahU/5v9/TjhCS4d+x2bvtsJR1d79JnYHT3HesPEVHt/tXNzc/Hrr78iLCwMe/bsQW5uLnx8fLBlyxb06NEDFhYWWmurvEtLS0O3bt2gUCgQFRUFOzs7qUOiAnCipnpMKoj00IuUNCz6v5U4vu0sZLLXHz4qpeqt60QRUOYqAQCPE1KwbHIYDodFYsra8XBrUlOjGK5evYrw8HCsW7cOSUlJaNy4MWbPno2BAwdyJ0cdUCgU6NOnD+7cuYOTJ0/C1dVV6pCoEKKGp5SKZbCjphSYVBDpmYd3kjC505dIffQMAPL1TBRFFIF71x7g/1pPwZc7PoVHtxYlajslJQUbN25EWFgYYmJiUKVKFQwcOBDBwcFo3rw5hzd0RKVSYfjw4Th+/DgOHz6MJk2aSB0SFUEJAUoNDhTTpK4+M85UichApSQ+RUjHGXiW9Extz0RxqJQqKHOUmOk/B3GRV4u8PicnB7t370bv3r1RrVo1hISEwNXVFTt37sTDhw+xcOFCtGjRggmFDk2ZMgUbNmzA2rVr4eXlJXU4RKXGngoiPSGKIr4fsgTPH7+AMjd/QvFQvIffcSHvsQwymMAMFWELezijGmrBRDDNdy+VSoVv+v2AVTcWwsYu/0mWoigiLi4O4eHhWL9+PVJSUtCiRQvMmzcPAwYMgIODg27fLOVZuHAh5s6diwULFiAwMFDqcKiYVKJm8yJK0AFpUJhUEOmJg78cLbJnoTYawRIVIEJENrLwDE9wC5eQgNtoJraFtVAp71pRJeLlswws/fcqTF03AcDrY4/Xr1+P8PBwXL58GU5OTggODkZwcDC73CWwZcsWTJo0CZ9++ikmTJggdThUAioN51RoUlefMakg0gPKXCXCZmwq8jp7OMNG+N+KADc0RKr4GHE4hUs4DU/RG3Lhf3saqJQqHN1wEo4eNtj16w4cPHgQcrkcvXr1wrfffgtvb2+YmPBjQAqRkZEYPHgwgoKC8N1330kdDpFW8NOESA+c3XcRz5Kel6quneAIN/Ed3MFVJOE+qqN2vtdFqPD9vxfAzsMSixcvRr9+/bhUUWKXL1+Gv78/OnbsiFWrVvF0VgOkggCVBpMtNamrz5hUEOmB49vOQCaXlXpyZlW44g6u4imS30oqBMjQ2KEFdpxdrY1QSUMJCQnw9fVFnTp1sH37dpiZmUkdEpUCd9RUj+kxkR74/cytUicUAGAhWMEEpshEhtrXX6ak41ny81Lfn7QjNTUVPj4+MDc3x4EDB2BtbV10JSIDwqSCSGJZr7KRdPexxveRwwS5yC3w9TuX7mvcBpVeZmYmevTogSdPnuDQoUPcQMzAvZmoqUkxRhz+IJJY5stMrdxHiVyYwbzA1zNevNJKO1RySqUSQUFBiIuLw9GjR1G/fn2pQyINqaDhNt2cU0FEuiDINP9wyRJfIRc5sETFAq+RyY3zm5G+E0UR48aNw969e7F79254eHhIHRKRzjCpIJKYdeWKMDGVIzdHWep7PEICAKAKnAq8xs65UqnvT6U3e/ZsLFu2DL/88gv8/PykDoe0RNRw9YdopD0V/OpCJDG5iRxuTUp/eFSq+Bh3cR2WqABnqL+PIBNQx71Wqdug0lm1ahWmT5+Or776CsOHD5c6HNKiN6eUalKMEXsqiPRA4/bv4I/L99/anvufUpCEDPElRIhQIAupeIJUJMMCVmiGtvk2vsojALXedYGFVcHzLUj79u/fj9GjR+Pjjz/GtGnTpA6HtIw7aqrHpIJID3gP64Sdiw4Ued0f+B3A670nTGGGirBBfTR76+yPf/Ib3VVrsVLRzp07h4CAAPTo0QNLlizhYWxUbjCpINIDdZrVwjvv1cfN8/Fq96uoJtRCNdQq1b3NLczQZfD7GkZIxXXr1i34+fmhRYsW2LBhA+RyNb1HZPA0HcIw1uEP4+x/ITJAYxcNhyhq/+jCkd8NQgUbK63fl96WlJQEb29vODo6Ys+ePbC0tJQ6JNKRN9t0a1KMEZMKIj3RoFUd9P/cH9rqKZfJZWjcviF6jvXWzg2pUGlpaejWrRsUCgUOHTrE81WoXGJSQaRHgmf1g2fP1hqPwctNZHCq6YAZ2z7hYVVlQKFQoE+fPrhz5w4OHToEV9fSr+Yhw8DVH+rx04ZIj8hN5Ji2eRI6B7UHgFIlF4IgoGYjFyw4+TUqO9pqO0T6B5VKheHDh+P48ePYvXs3mjRpInVIVAaYVKjHpIJIz5iameLzNePxn40TYWVrWewdN2VyGWRyGQbPCMCS6FDYOVfWcaQEAFOmTMGGDRuwdu1aeHl5SR0OkaS4+oNIDwmCAK9+7dDyw2Y4vDoSu5YcRPK9JwAAuakcEEXk5ORA9te+FFY2lug2sgt6/OtDVKvDg6rKysKFCzF37lwsWLAAgYGBUodDZYirP9RjUkGkx6wrV0TfkB7oPdEPibcf4fbFP3D/9z+RcO8B1q1fh5AvJuCDj7zg1sQVpmYF71NB2rdlyxZMmjQJn376KSZMmCB1OFTGmFSox6SCyADIZDK4NKgOlwbVAQAxMTH4cv3n8OjdHPVb1JE4uvInMjISgwcPRlBQEL777jupwyHSG0wqiIhK4PLly/D390fHjh2xatUqrq4pp0Rodny59nek0Q9MKoiIiikhIQG+vr6oU6cOtm/fDjMzM6lDIolw+EM9JhVERMWQmpoKHx8fmJub48CBA7C2tpY6JJIQkwr1mFQQERUhMzMTPXr0wJMnT3Dq1Ck4O3OFDZE6TCqIiAqhVCoRFBSEuLg4HD16FPXr15c6JNID7KlQj0kFEVEBRFHEuHHjsHfvXuzevRseHh5Sh0R6gkmFekwqiIgKMHv2bCxbtgy//PIL/Pz8pA6HSO8xqSAiUmPVqlWYPn06vvrqKwwfPlzqcEjPiKIAUYPeBk3q6jMmFURE/7B//36MHj0aY8aMwbRp06QOh/SQCoJG+1RoUlefcdcWIqK/iY6ORmBgILp3746lS5dqfAw9UXnCngoior/cunULfn5+cHd3x8aNGyGXy6UOifQUJ2qqx6SCiAhAUlISfHx8YG9vj71798LS0lLqkEiPcU6Fejod/jh+/Dh69OiBatWqQRAE7Nq1S5fNERGVysuXL+Hn54fs7GwcOnQIdnZ2UodEZJB0mlRkZGSgWbNmWLp0qS6bISIqNYVCgT59+iA+Ph4HDx5EzZo1pQ6JDMCb4Q9NijHS6fCHr68vfH19ddkEEVGpqVQqjBgxAlFRUTh06BCaNm0qdUhkIDj8oZ5ezanIzs5GdnZ23uO0tDQJoyEiYzd16lSsW7cOmzZtQqdOnaQOhwyIqGFvg7EmFXq1pDQ0NBS2trZ5xcXFReqQiMhILVq0CHPmzMH8+fPRr18/qcMhMgp6lVRMnToVL168yCsPHjyQOiQiMkJbtmzBxIkT8cknn2DixIlSh0MGSAQgihoUqd+AjujV8Ie5uTnMzc2lDoOIjFhkZCQGDx6MoKAgfP/991KHQwZKBQECd9R8i171VBAR6dLly5fh7++Pjh07YtWqVZDJ+BFIpE067alIT09HfHx83uO7d+8iLi4OdnZ2cHV11WXTRET5JCQkwNfXF3Xq1MH27dthZmYmdUhkwLj6Qz2dJhUXLlzIN6M6JCQEABAcHIywsDBdNk1ElCc1NRU+Pj4wNzfHgQMHYG1tLXVIZOBUogCB23S/RadJhZeXF0TRWKejEJEhyMzMRI8ePfDkyROcOnUKzs7OUodEZLQ4oEhERkupVCIoKAhxcXHYt28f6tevL3VIZCQ0WvnxVymNpUuXolatWrCwsICHhweio6MLvDYsLAyCIOQrFhYWpXzHxaNXqz+IiLRFFEWMGzcOe/fuxe7du+Hh4SF1SGREpJhTsXnzZoSEhGDZsmXw8PDAggUL4O3tjZs3b8LR0VFtHRsbG9y8eTPvsSDodtiFPRVEZJRmz56NZcuWYcWKFfDz85M6HCKN/fDDDxg1ahSGDRuGRo0aYdmyZbCyssKqVasKrCMIApydnfOKk5OTTmNkUkFERmfVqlWYPn06vvrqKwwfPlzqcMgIvemp0KSUhEKhwMWLF9GlS5e852QyGbp06YIzZ84UWC89PR01a9aEi4sLevXqhWvXrpX6PRcHkwoiMir79+/H6NGjMWbMGEybNk3qcMhIaeuU0rS0tHzl7+df/V1KSgqUSuVbPQ1OTk5ISkpSW6dBgwZYtWoVdu/ejXXr1kGlUqFt27b4888/tfvD+BsmFURkNKKjoxEYGIju3btj6dKlOh8/pvJLWxM1XVxc8p15FRoaqrUYPT09MWTIELi7u6Njx47YsWMHHBwcsHz5cq218U+cqElERuHWrVvw8/ODu7s7Nm7cCLlcLnVIREV68OABbGxs8h4XdFSFvb095HI5kpOT8z2fnJxc7GXSpqamaN68eb5NKbWNPRVEZPCSkpLg4+MDe3t77N27F5aWllKHREbudW+DJnMqXt/HxsYmXykoqTAzM0PLli0RERGR95xKpUJERAQ8PT2LFbNSqcSVK1dQtWpVjd9/QdhTQUQG7eXLl/Dz80N2djYiIyNhZ2cndUhUDkixpDQkJATBwcFo1aoV2rRpgwULFiAjIwPDhg0DAAwZMgTVq1fPG0L56quv8N5776Fu3bp4/vw55s6di/v372PkyJGljrsoTCqIyGApFAr06dMH8fHxOHHiBGrWrCl1SEQ6069fPzx58gQzZsxAUlIS3N3dcejQobzJmwkJCfkOyXv27BlGjRqFpKQkVK5cGS1btsTp06fRqFEjncXIpIKIDJJKpcKIESMQFRWFQ4cOoWnTplKHROWI+FfRpH5pjBs3DuPGjVP72rFjx/I9nj9/PubPn1/KlkqHSQURGaSpU6di3bp12LRpU76DCwvz6OVLnEi4jyvJybj1NAWvcnJgJpfDrXJlNHF0gkeNGmho76DjyMkY8JRS9ZhUEJHBWbRoEebMmYP58+ejX79+RV5/4WEiVly8gIg/7kAEYCKTIVelynv9cnISdl7/HSKAZk7OGNmiJbrVq88lqUQlxKSCiAzKli1bMHHiRHzyySeYOHFioddmKBSYc+oE1l6+BLkg5HU5/z2hAADl3053uvI4GeMP7seWa1fxXZcPUZXHpJM6Uo1/6DkuKSUig3Hs2DEMHjwYQUFB+P777wu9Njk9Hb02rcf6K5cB5E8cCqP667rTDxLgsy4cl5IeaRY0GSdNt+g20uEPJhVEZBCuXLkCf39/vP/++1i1alW+We7/lJqZiX7bNuP+8+d5SUJJKUURGTk5GLhjG649flzasMlISXX0ub7j8AcR6b2EhAT4+PjAzc0N27dvh5mZWYHXiqKIz48cRmJamtreiZfnopGycbPaurYfdIJdj+55j1WiiKzcXPxr/x4cHhQMS1NTzd8MkRFjUkFEei01NRU+Pj4wMzPDwYMH821prM6emzcQcfePIu9bydcHplXyb5Rlqma7Y5Uo4uHLl5h7+iRmdCzeKhMyflz9oR6TCiLSW5mZmejZsyceP36M06dPF3nGgVKlwpxTJyGg6HlwVu80hLmrS7HiUIki1lyKw5iWreFUsWLxgifjpum8CCNNKjingoj0klKpRFBQEGJiYrB//37Ur1+/yDrH79/Do/SXOptYv+nqFR3dmcg4MKkgIr0jiiLGjx+PvXv3YsuWLfDw8ChWvT03b0BezL0lVFmZUKan5yuFXi+K2HH992Ldm4wfJ2qqx+EPItI73377LX766SesXLkS3bt3L7rCX2IePSz20tGkH5e/9Zzbgv8WWudB2gukZWfDpoCTJKkc4T4VajGpICK9snr1akybNg2zZs0q0WmKr3Jy8CAtrdjXV+nbG6YOJd+S+/qTx/CoUby5GETlDZMKItIbBw4cwKhRozB69GhMnz69RHXTsrNKdL25q2uxJ2r+3fOskrVDxomrP9RjUkFEeiE6OhoBAQHo3r07li5dWuJzNwSUzYe0jOeB0BtGOoShCU7UJCLJ3bp1C35+fnB3d8fGjRthYlLy7zuVLCzK5Bd+FSsrnbdBZKiYVBCRpJKSkuDj4wN7e3vs3bsXlpaWpbqPuYkJ3CpV1nJ0+QkA3uHR6IT/DX9odP6HEWJSQUSSefnyJfz8/JCdnY1Dhw7Bzs6u6EqFaFWtWrGXlJaUAKCuXRVu1U2viVooRohJBRFJQqFQoE+fPoiPj8fBgwdRs2ZNje/Z+513i72ktDQC322ss3uToRG0UIwPJ2oSUZlTqVQYMWIEoqKicOjQITRt2lQr921VrRrqVrbDH89SoSrgGmuPNrD2aFPie5vK5ejb6F3NAiQycuypIKIyN3XqVKxbtw5r1qxBp07aO6RLEARM79ipwIRCE//28ISthYUO7kwGicMfajGpIKIytWjRIsyZMwfz589Hv379tH7/DjVron/jJlpbCSIXBDRycMDolq20cj8yEkwq1GJSQURlZsuWLZg4cSI++eQTTJw4UWftTH/fC+7OVTVOLOSCADtLSyzv3gsmMn5cEhWFf0uIqEwcO3YMgwcPRlBQEL7//nudtmVpaopw/954r3qNUt9DJgioam2NbYEDUN3GRovRkVF4c/S5JsUIMakgIp27cuUK/P398f7772PVqlWQlcG3/gpmZgj/qA/+06EjTGWyYi81lQuvYxvYpCkODhwCF1tbXYZJBoqnlKrH1R9EpFMJCQnw8fGBm5sbtm/fDjMzszJrWy6TYUSLlvCuWxdrLsVh09UrSFcoIBMEyAQBKpUKSqUScrkJVBBhIpOhe/0GCG7WHM2cncssTiJjwaSCiHQmNTUVPj4+MDMzw8GDB2Ej0TBCDRtbfNGhI0I82+JSUhKuPH6M+NSnePj4MQ7u34+RAQH4sJk7mletikoWpdvRk8oZHn2uFpMKItKJzMxM9OzZE48fP8bp06fhrAff/C1MTOFRwyXv6PKYmBisHTgYAZM/RQu32hJHRwZF03kRRjqngkkFEWmdUqlEUFAQYmJiEBkZifr160sdEhGVASYVRKRVoihi/Pjx2Lt3L3bt2gUPDw+pQyLSOkF8XTSpb4yYVBCRVn377bf46aefsHLlSnTv3l3qcIh0g3Mq1GJSQURas3r1akybNg2zZs3CyJEjpQ6HSHc4p0It7lNBRFpx4MABjBo1CqNHj8b06dOlDoeIJMCeCiLSWHR0NAICAuDn54elS5dC0NK5G0R6i8MfajGpICKN3L59G35+fmjWrBk2btwIExN+rFA5wKRCLQ5/EFGpJScnw9vbG/b29ti7dy+srKykDomIJMSvFERUKi9fvkS3bt2QlZWFyMhIVKlSReqQiMoOeyrUYlJBRCWmUCjQt29fxMfH4/jx46hZs6bUIRGVLa7+UItJBRGViCiKGDlyJCIjI3Ho0CE0a9ZM6pCISE8wqSCiEpk6dSrWrl2LjRs3onPnzlKHQyQJ7qipXplM1Fy6dClq1aoFCwsLeHh4IDo6uiyaJSItW7x4Mb7//nv88MMP6N+/v9ThEElH1EIxQjpPKjZv3oyQkBDMnDkTMTExaNasGby9vfH48WNdN01EWrR161ZMmDABkydPxqRJk6QOh4j0kM6Tih9++AGjRo3CsGHD0KhRIyxbtgxWVlZYtWqVrpsmIi05duwYBg0ahAEDBmDOnDlSh0NEekqnSYVCocDFixfRpUuX/zUok6FLly44c+bMW9dnZ2cjLS0tXyEiaV25cgX+/v7o0KEDVq9eDZmM29sQCfjfvIpSFanfgI7o9NMhJSUFSqUSTk5O+Z53cnJCUlLSW9eHhobC1tY2r7i4uOgyPCIqQkJCAnx8fODm5oYdO3bAzMxM6pCI9MObJaWaFCOkV185pk6dihcvXuSVBw8eSB0SUbmVmpoKHx8fmJmZ4eDBg7CxsZE6JCLSczpdUmpvbw+5XI7k5OR8zycnJ8PZ2fmt683NzWFubq7LkIioGDIzM9GzZ088fvwYp0+fVvv3lahc446aaum0p8LMzAwtW7ZERERE3nMqlQoRERHw9PTUZdNEVEpKpRJBQUGIiYnB/v37Ub9+falDItI/XFKqls43vwoJCUFwcDBatWqFNm3aYMGCBcjIyMCwYcN03TQRlZAoihg/fjz27t2LXbt2wcPDQ+qQiMiA6Dyp6NevH548eYIZM2YgKSkJ7u7uOHTo0FuTN4lIet9++y1++uknrFy5Et27d5c6HCK9xR011SuTbbrHjRuHcePGlUVTRFRKq1evxrRp0zBr1iyMHDlS6nCI9BvnVKilV6s/iEgaBw4cwKhRozB69GhMnz5d6nCIyEDxQDGici46OhoBAQHw8/PD0qVLIQjGuX6eSKvYU6EWkwqicuz27dvw8/NDs2bNsHHjRpiY8COBqDg4p0I9Dn8QlVPJycnw9vaGvb099u7dCysrK6lDIiIDx68lROXQy5cv0a1bN2RlZSEyMhJVqlSROiQiw6LpVtvcppuIjIFCoUDfvn0RHx+PgwcPombNmlKHRGR4JNr8aunSpahVqxYsLCzg4eGB6OjoQq/funUrGjZsCAsLCzRp0gQHDhwoXcPFxKSCqBwRRREjR45EZGQkdu7ciWbNmkkdEpFB0uiE0lLOx9i8eTNCQkIwc+ZMxMTEoFmzZvD29sbjx4/VXn/69GkMGDAAI0aMQGxsLPz9/eHv74+rV69q+O4LxqSCqByZOnUq1q5dizVr1qBz585Sh0NEJfDDDz9g1KhRGDZsGBo1aoRly5bBysoKq1atUnv9woUL4ePjg08//RTvvPMOvv76a7Ro0QJLlizRWYxMKojKicWLF+P777/HDz/8gP79+0sdDpFh09LwR1paWr6SnZ2ttjmFQoGLFy+iS5cuec/JZDJ06dIFZ86cUVvnzJkz+a4HAG9v7wKv1wYmFUTlwNatWzFhwgRMnjwZkyZNkjocIsOn6dDHX0mFi4sLbG1t80poaKja5lJSUqBUKt864sLJyQlJSUlq6yQlJZXoem3g6g8iIxcVFYVBgwZhwIABmDNnjtThENHfPHjwADY2NnmPzc3NJYxGc0wqiAxAukKB8w//xJXkZMSnPkXS06dwHDYEa+/G42FFK7SuVgNOFSu+Ve/KlSvo1asXOnTogNWrV0MmY+ckkVZoaUdNGxubfElFQezt7SGXy5GcnJzv+eTkZDg7O6ut4+zsXKLrtYFJBZEe++NZKlbHxWD79WvIys2FXBAgAlCJIqyaNsa+h39id+IDCAA6u9XGMPeWaOviCuD1NyBfX1+4ublhx44dMDMzk/S9EBmVMt6m28zMDC1btkRERAT8/f0BACqVChEREQUe2Onp6YmIiAhMnDgx77kjR47A09OzlEEXjUkFkR7KVamw/GI0Fpw9DQBQimK+fwOAIJPlPRYBHLt3FxF3/0CvBg3x76Yt0N3HB6ampjhw4ECxvgkRkX4LCQlBcHAwWrVqhTZt2mDBggXIyMjAsGHDAABDhgxB9erV8+ZlTJgwAR07dsR///tf+Pn5YdOmTbhw4QJWrFihsxiZVBDpmbTsbIzYswMXHz0sUb03CcbeWzex91Ic0pS5OHHoEKpWraqLMInKNSnO/ujXrx+ePHmCGTNmICkpCe7u7jh06FDeZMyEhIR8Q5xt27bFhg0bMG3aNHzxxReoV68edu3ahcaNG5c+8CIwqSDSI69ycjBk51Zce6J+M5viUIkiRFNTOI3/P5g6OmgxOiKS2rhx4woc7jh27NhbzwUEBCAgIEDHUf0PkwoiPTIr6iiuPnkMlfj215iX584jZcPmfM/JKlaAmbMzbD/wglWjd/KeF+RyZKmUGL1vF/YPGAJznj5KRGWAU8GJ9MTx+/ew9ferahOKv6vUzRsOgwbAftAAVPqgE5Tp6Uhe/gteXf0933VKUcTdZ8+wOPqsLsMmKp8kOvtD3zGpINIDoijim+ORkAlFn1xo9U5DVGzdEtatW8K2sxeqThgLyOVIj4l9+74All+MxpNXGTqImqj8kuLsD0PApIJID5x/mIj4Z6lF9lKoI7O0hGBqCqGAPShEAFuu6e4AIaJyi70Ub2FSQaQHdt34HSZC8f46qjKzoEzPgDI9HYpHSXi6ZTvE7GxUbNVS/fWiiG2/M6kgIt3j7C0iPXDx0UPkiqpiXZv04/J8jwUTE9gHBcKyYf0C69x/8Rxp2dmwMfAtgIn0RhlvfmUomFQQSSw7Nxd/PEst9vVV+n6Ut1RU+TId6RcuImXjVsjMLVChWZMC6/3+5DHeq+GicbxEJM0+FYaASQWRxF4qFPl2yiyKeU1XmLv+Lzmo0MIdD+fOx9NtO2H17jsQClg++iwrU+NYiYgKwzkVRBITNewHFWQyWNSrC2VaGnKepBTcjpF+MyKSBJeUqsWeCiKJ2ZiZQyYIpVr58YaoUgIAVNnZBV5T2cKi1Pcnovw4/KEeeyqIJGZuYgK3SpVLXV9UKpF54xYgl8PM2anA6xo5OJa6DSKi4mBPBZEeaFG1Gu49fw5lMVaAvLp+AznJr88GUaanI/1iLHKfpMC2S2fICuiNqG5tA1v2VBBpD1d/qMWkgkgP9GrwDrYWcy+J5wcO5/23YGoCU0dHVAnoDet2nmqvlwkC+jZ6VytxEtFfmFSoxaSCSA941nBBTdtKSHjxvMDPGmuP1rD2aF2q+/d/t2npgyMiKibOqSDSA4Ig4D8dOmr/y4soYmjT5nCqWFHbdyYq13j2h3pMKoj0gEKhwL5FS5B+IUZraz8FUUTO01QcnR2KpKQkrdyTiP7CJaVqMakgktgff/yBdu3a4ccff8QnLVujgb0D5MU4rbQwckFABXNzfN3GE79fvgx3d3dERERoKWIiYlKhHpMKIglt27YNzZs3x9OnT3Hq1Cl8NmEiNvQOREN7B5Q2rZALAiqamWNj70AM7d4DcXFxaNy4Mbp27YqZM2dCqVRq9T0QEb3BpIJIAllZWRg7diwCAgLw4YcfIjY2Fq1bv56EWdnSEtsCBuDjVm0gAMXutZD9dV2nWrXx66CheNfx9Z4Vzs7OOHz4MGbNmoVvvvkGH3zwAR4+fKiT90VUXnBOhXpMKojK2O3bt9G2bVv8/PPPWLp0KbZs2QJbW9t815ibmODTth2wd8Bg9GzwDkxkr/+qvvn3G39/7FG9BlZ298fy7r3gUKFCvuvkcjmmT5+Oo0eP4tatW3B3d8fhw4dBRKXE4Q+1uKSUqAxt2rQJo0aNgrOzM86ePYvmzZsXen0jB0f890Nf/KdDR5z98wEuP07G7adP8SpHATO5HDVtK6GxoxPaVK+BWsXYlbNjx46Ii4vDkCFD4OPjgylTpuDrr7+GSQGHkBERlQQ/SYjKQGZmJiZOnIgVK1ZgwIABWL58OaytrYtd387SCt3qNUC3eg00jsXR0REHDhzAnDlzMG3aNJw4cQIbN26EiwuPRScqLp79oR6HP4h07MaNG/Dw8MCaNWuwYsUKrF+/vkQJhS7IZDJMmTIFx44dw/379+Hu7o79+/dLGhORQeHwh1pMKoh0aO3atWjVqhUUCgXOnTuHUaNGQdBwuag2tW/fHnFxcfD09ET37t3x6aefIicnR+qwiMhAMakg0oGMjAwMGzYMQ4YMQe/evXHhwgU0baqfW2VXqVIFe/bswbx587BgwQJ06NAB9+/flzosIv3Gngq1mFQQadm1a9fQpk0bbNmyBatXr8aaNWtQUc+3yZbJZJg8eTJOnDiBpKQkuLu7Y9euXVKHRaS3BC0UY8SkgkhLRFHEqlWr0Lp1awiCgPPnz2Po0KFSh1Ui7733HmJjY+Hl5YWPPvoIEydOhEKhkDosIjIQTCqItCA9PR2DBw/GiBEjEBQUhOjoaDRq1EjqsEqlcuXK2LFjBxYuXIgff/wR7dq1wx9//CF1WET6hcMfajGpINLQpUuX0LJlS+zatQvr1q3Dzz//DCsrK6nD0oggCPj3v/+N06dPIzU1Fc2bN8e2bdukDotIb3BHTfWYVBCVkiiKWL58OTw8PGBhYYGLFy9i4MCBUoelVa1atUJMTAw+/PBDBAQEYOzYscjKypI6LCLpsadCLSYVRKWQlpaGAQMG4OOPP8awYcNw9uxZNGig+cZU+sjW1hZbtmzBjz/+iF9++QWenp64ffu21GERkR5iUkFUQjExMWjRogUOHDiATZs24aeffoKlpaXUYemUIAj417/+hbNnzyIjIwMtWrTAxo0bpQ6LSFrspXgLkwqiYhJFEUuWLIGnpydsbW0RExODfv36SR1WmXJ3d8fFixfRs2dPBAUFYfTo0cjMzJQ6LKIyxzkV6jGpICqG58+fo2/fvhg/fjzGjBmD06dPo27dulKHJQlra2usW7cOK1euxNq1a+Hh4YEbN25IHRYR6QGdJRWzZ89G27ZtYWVlhUqVKumqGSKdi46ORvPmzREREYHt27dj0aJFMDc3lzosSQmCgJEjRyI6Oho5OTlo2bIl1qxZI3VYRGWHEzXV0llSoVAoEBAQgH/961+6aoJIp0RRxPz589G+fXs4ODggNjYWvXv3ljosvdKkSRNcuHABAQEBCA4OxrBhw5CRkSF1WEQ6x+EP9XSWVMyaNQuTJk1CkyZNdNUEkc6kpqbC398fISEhGD9+PE6ePAk3Nzepw9JLFSpUQFhYGMLCwrBlyxa0adMG165dkzosIpIA51QQ/cPp06fh7u6OEydOYM+ePfjvf/8LMzMzqcPSe8HBwTh//jwEQUDr1q2xatUqiKKRfh0j4vCHWnqVVGRnZyMtLS1fISorKpUKc+bMwfvvv48aNWogLi4OPXr0kDosg9KoUSNER0dj4MCBGDFiBAYPHoz09HSpwyLSOg5/qFeipGLKlCkQBKHQosks8NDQUNja2uYVFxeXUt+LqCSePHmC7t274/PPP8fkyZMRFRUFV1dXqcMySFZWVli5ciXWr1+P3bt3o2XLlrh06ZLUYRFRGTApycWTJ08u8tTF2rVrlzqYqVOnIiQkJO9xWloaEwvSuRMnTqB///5QKBQ4cOAAfH19pQ7JKAQFBaFVq1YIDAyEh4cHFi5ciNGjR0MQjPXQZypXNB3CMNKeihIlFQ4ODnBwcNBVLDA3Ny/3S/Wo7KhUKoSGhmLGjBlo164dNm7ciOrVq0sdllGpX78+zp49i5CQEHz88cc4evQoVq5cCRsbG6lDI9IMkwq1dDanIiEhAXFxcUhISIBSqURcXBzi4uI4vkp6ITk5GT4+Ppg+fTq++OILHD16lAmFjlhYWODHH3/E5s2bcfDgQbRo0QIxMTFSh0WkEc6pUE9nScWMGTPQvHlzzJw5E+np6WjevDmaN2+OCxcu6KpJomI5evQo3N3dcenSJRw+fBhff/01TExK1GlHpRAYGIjY2FhUqlQJnp6eWLJkCVeHEBkZnSUVYWFhEEXxreLl5aWrJokKpVQq8eWXX6JLly545513EBcXh65du0odVrlSp04dnDp1CmPGjMH48ePRt29fPH/+XOqwiEqOS0rV0qslpUS68ujRI3Tt2hVff/01vvzySxw5cgRVq1aVOqxyydzcHIsWLcKOHTtw9OhRNG/eHNHR0VKHRVQigihqXIwRkwoyekeOHIG7uzuuX7+OiIgIzJgxA3K5XOqwyr2PPvoIsbGxcHR0RPv27TF//nwOhxAZOCYVZLRyc3Mxbdo0eHt7582h4PCbfqlVqxZOnDiBf//73wgJCUGvXr2QmpoqdVhERePwh1pMKsgo/fnnn+jcuTNCQ0PxzTff4ODBg3B0dJQ6LFLDzMwM8+bNw549e3Dq1Cm4u7vj9OnTUodFVCiu/lCPSQUZnQMHDsDd3R1//PEHjh07hi+++AIyGf+o67sePXogNjYWLi4ueP/99zFnzhyoVCqpwyKiEuAnLRmNnJwcfPbZZ/Dz84OHhwfi4uLQoUMHqcOiEnB1dcWxY8fw6aef4vPPP0f37t3x5MkTqcMiehuHP9RiUkFGISEhAR07dsT8+fMxd+5c7N27F/b29lKHRaVgamqK0NBQHDx4EOfPn887MZZIn3D4Qz0mFWTw9uzZA3d3dyQmJuL48eP45JNPONxhBHx8fBAXF4e6devCy8sLs2fP5nAIkZ7jJy8ZLIVCgUmTJqFXr17o0KEDYmNj4enpKXVYpEXVq1dHREQEvvjiC0yfPh0+Pj5ITk6WOiwiDn8UgEkFGaS7d++iffv2WLp0KRYsWIBdu3bBzs5O6rBIB0xMTPD111/j119/xeXLl+Hu7o6jR49KHRaVc/o8/JGamoqBAwfCxsYGlSpVwogRI4o8d8vLywuCIOQrH3/8cYnbZlJBBmfHjh1o3rw5UlJScOrUKUyYMIHHaZcDXbp0QVxcHBo1aoQuXbrgyy+/hFKplDosKq/0uKdi4MCBuHbtGo4cOYJ9+/bh+PHjGD16dJH1Ro0ahUePHuWVOXPmlLhtnqJEBiMrKwuffvoplixZgj59+uDnn39GpUqVpA6LypCzszN+/fVXzJ49G7NmzcLx48exfv36Ym+5Loo5QO4NIOcaxNx4uNj+icXfOsChwn6IilzApDEEmZWO3wWR7ly/fh2HDh3C+fPn0apVKwDA4sWL0a1bN8ybNw/VqlUrsK6VlRWcnZ01ap89FWQQ4uPj0bZtW6xYsQJLly7F1q1bmVCUU3K5HDNmzEBERARu3LgBd3d3HDlypNA6ovIxVC8XQnzcAeLTPhDTZgKvNqCyVRRGDrRFNZt1EFMHQXzsAdWLmRBzbpfRuyFDpo2hj7S0tHwlOztbo5jOnDmDSpUq5SUUwOtePplMhnPnzhVad/369bC3t0fjxo0xdepUvHr1qsTtM6kgvbd582a0aNECL1++xNmzZ/F///d/HO4geHl5IS4uDu7u7vD29sa0adOQm5ub7xpRFCG+2gTxSVcg4ydAfLMFuAggFzJBCTMzAULep3w2kLkF4tPuUL2cC1HU7AOejJgoal4AuLi4wNbWNq+EhoZqFFZSUtJbuwebmJjAzs4OSUlJBdYLCgrCunXrEBkZialTp2Lt2rUYNGhQidvn8AfprczMTEyaNAnLly9H//79sXz5ctjY2EgdFukRR0dHHDx4EHPmzMG0adNw/PhxbNiwATVq1IAoZkF8PhHILumkzr/maWT8DDErArALgyDXrEuYqCAPHjzI97lmbm6u9ropU6bg+++/L/Re169fL3Ucf59z0aRJE1StWhUffPAB7ty5gzp16hT7PkwqSC/dvHkTgYGBuHXrFlasWIGRI0eyd4LUkslkmDJlCtq3b48BAwbA3d0da9eugrfHdkBReHdv4URAeR/i0/5Alc0Q5E5ai5kMn6YrON7UtbGxKdaXpcmTJ2Po0KGFXlO7dm04Ozvj8ePH+Z7Pzc1FampqieZLeHh4AHg99MykggzaunXr8PHHH6NGjRo4d+4cmjZtKnVIZADat2+P2NhYDB06FDcvjkDXZpWhbg+0sM1pGDGx4L0uTu2rgfdaWv71SAmokiE+Hw/YbYQgyHUTPBkeTVdwlLCug4MDHBwcirzO09MTz58/x8WLF9GyZUsAwNGjR6FSqfISheKIi4sDgGJPgn6DSQXpjVevXmHcuHFYvXo1Bg8ejB9//BEVK1aUOiwyIPb29tizbTrwfHCR18761A61XE3fer5uLbN/PKMEcuKAV2uACsO0EyiRjrzzzjvw8fHBqFGjsGzZMuTk5GDcuHHo379/3sqPxMREfPDBB1izZg3atGmDO3fuYMOGDejWrRuqVKmCy5cvY9KkSXj//fdL/KWOSQXphWvXriEwMBB3797FqlWrMHToUA53UImJogikf4PXc9AL39Lbp3MFtHK3KP69X/4AWPaFILPWLEgyCoLqddGkvq6sX78e48aNwwcffACZTIY+ffpg0aJFea/n5OTg5s2beas7zMzM8Ntvv2HBggXIyMiAi4sL+vTpg2nTppW4bSYVJClRFBEWFoaxY8fCzc0NFy5cQKNGjaQOiwxVzmUg96aObq4AMncBFYruBaFyoIyHP0rCzs4OGzZsKPD1WrVqvU7A/+Li4oKoqCittM0lpSSZ9PR0BAcHY/jw4RgwYADOnz/PhII0ImbuAFC8eQ8vXqqQ8lSZrzxNLXyHTjFzixaiJDJe7KkgSVy+fBmBgYH4888/S70emugtOReQtyS0CB8GJr71nLm5gFf36hZQQwRyb0MUsyAIxR82IeOkrdUfxoZJBZUpURSxcuVKTJgwAfXr18fFixfRoEEDqcMiIyCKCiD3TrGvXxLqgHq180/KlBfZyaECcm4CZs1KHiAZl79tYFXq+kaISQWVmbS0NIwZMwabNm3CmDFjMH/+fFhaWhZdkag4VM9Q1OTMv2vtblGiiZr/a+dJyeuQ0WFPhXpMKqhMxMbGIjAwEMnJydi0aRP69esndUhkdMrqU1qH0/aJDBwnapJOiaKIpUuX4r333oONjQ1iYmKYUJBuCGW01FOwLZt2SL/p8dHnUmJSQTrz/PlzBAYGYty4cRg9ejROnz6NunULmgRHpBlBVgGQFXyss9aYNtR9G6T3NDmhVNOhE33G4Q/SifPnz6Nfv35ITU3Ftm3b0KdPH6lDovLAtDmQnYzirAA5dDQDN+IVbz3ftrUlatd8e6dNAICsGgQZeyqICsKkgrRKFEUsXLgQn332Gdzd3REREQE3Nzepw6JyQrD0g5i9v1jXzpybqvb5XxY4FZBUyADLXhpER0aFqz/UYlJBWpOamophw4Zhz549mDRpEr777juYmf3zHAUiHTL3AmQOha7QGNrPBkP7FX0q5NtECFacD0SvcfWHekwqSCvOnDmD/v374+XLl9i9ezd69uwpdUhUDgmCCVBxEsS0L7R8ZxlgGQBBXgZzNogMGCdqkkZUKhXmzp2L999/H9WrV0dcXBwTCpKWZR/ArB2Ku1130WSAzAGC9edauh8ZBa7+UItJBZVaSkoKevTogc8++wwhISGIioqCq6ur1GFROScIAgTb7wGZEzRPLGQATCFUWgJBVlEL0ZGx4OoP9Tj8QaVy4sQJDBgwAFlZWdi/fz+6desmdUhEeQS5I1BlPcTUQYDyEUq3YZUcgBkEu58hcFtuomJhTwWViEqlwrfffotOnTqhdu3aiIuLY0JBekmQV4dQZTdg8WbFRnE/7oTX/zJtBsF+DwSz1roIjwydStS8GCEmFVRsjx8/hq+vL6ZNm4YpU6bg6NGjqFGjhtRhERVIkNlAVul7CJVXA2Zt3jyLt4dFZP97Tl4Hgs23EOw2QDCpWXbBkmHhnAq1OPxBxXLs2DEEBQVBqVTi8OHD6Nq1q9QhERWbYN4Ognk7iLl3gewTEHOuArk3ATETEEwBuRsE0yaAmcfrHgpBkDpk0nMCNFxSqrVI9AuTCiqUUqnEN998g6+++godO3bE+vXrUbVqVanDIioVwcQNMHEz2g90IqkxqaACJSUlYeDAgYiMjMTMmTMxbdo0yOXaWqZHRGTAuKOmWkwqSK3ffvsNAwcOhEwmQ0REBDp16iR1SEREeoM7aqrHiZqUT25uLqZNm4YPP/wQzZo1w6VLl5hQEBFRsbCngvIkJiYiKCgIJ0+exDfffIMpU6ZAJmPeSUT0Fk1XcBhpTwWTCgIAHDx4EEOGDIG5uTmOHTuGDh06SB0SEZHeEkQRggbzIjSpq8/4NbScy8nJweeff45u3bqhdevWiIuLY0JBRESlwp6KciwhIQEDBgzAuXPnMGfOHEyePJnDHURExaFC6XZ//3t9I8Skopzau3cvgoODYW1tjRMnTsDT01PqkIiIDAaHP9Tj19JyRqFQYPLkyejZsyc6dOiA2NhYJhRERKQV7KkoR+7evYv+/fsjNjYW8+fPx4QJE7gdMRFRaXD1h1pMKsqJHTt2YPjw4bCzs8OpU6fQujVPXiQiKjXuqKkWhz+MXHZ2NsaPH48+ffqgS5cuiImJYUJBRKShNztqalKMkc6Sinv37mHEiBFwc3ODpaUl6tSpg5kzZ0KhUOiqSfqH+Ph4tG3bFitWrMCSJUuwdetWVKpUSeqwiIjISOls+OPGjRtQqVRYvnw56tati6tXr2LUqFHIyMjAvHnzdNUs/WXLli0YOXIkHB0dcebMGbRo0ULqkIiIjAeHP9TSWVLh4+MDHx+fvMe1a9fGzZs38dNPPzGp0KHMzEyEhIRg2bJl6NevH1asWAEbGxupwyIiMiqC6nXRpL4xKtOJmi9evICdnV1ZNlmu3Lx5E4GBgbh58yaWL1+OUaNGcXUHERGVmTJLKuLj47F48eJCeymys7ORnZ2d9zgtLa0sQjMK69evx5gxY1CjRg1ER0ejadOmUodERGS8OPyhVoknak6ZMgWCIBRabty4ka9OYmIifHx8EBAQgFGjRhV479DQUNja2uYVFxeXkr+jcubVq1cYOXIkBg0ahN69e+PChQtMKIiIdE3UQjFCgiiWLF168uQJnj59Wug1tWvXhpmZGQDg4cOH8PLywnvvvYewsLBCz5ZQ11Ph4uKCFy9ecF6AGr///jsCAwPxxx9/YOnSpRg6dCiHO4io3EpLS4Otra1Of2e8acOr9X9gYmJR6vvk5mbh2PnZRvf7rcTDHw4ODnBwcCjWtYmJiejUqRNatmyJ1atXF3lYlbm5OczNzUsaUrkUFhaGsWPHolatWjh//jzeffddqUMiIio3ePaHejrbpyIxMRFeXl5wdXXFvHnz8OTJEyQlJSEpKUlXTZYL6enpCA4OxrBhw9C/f38mFEREUngzp0KTYoR0NlHzyJEjiI+PR3x8PGrUqJHvtRKOuNBfrly5gsDAQDx48ABr1qzB4MGDpQ6JiIgoj856KoYOHQpRFNUWKhlRFLFy5Uq0adMGpqamuHDhAhMKIiIpiQBUGhQj/VXIsz/03MuXLzFw4ECMHj0awcHBOHfuHBo2bCh1WERE5dqbORWaFGPEU0r1WGxsLAIDA5GcnIyNGzeif//+UodERETAX8tCNdmnQmuR6BX2VOghURTx448/wtPTE9bW1rh48SITCiIi0ntMKvTMixcvEBgYiLFjx2LUqFE4ffo06tWrJ3VYRET0d1z9oRaHP/TIhQsX0K9fPzx9+hTbtm1Dnz59pA6JiIjUUQHQZK9BIz1QjD0VekAURSxcuBBt27ZFlSpVEBMTw4SCiIgMDpMKiT179gy9e/fGxIkTMXbsWJw8eRK1a9eWOiwiIioEV3+ox+EPCZ09exb9+/dHWloadu/ejZ49e0odEhERFQdPKVWLPRUSUKlUmDdvHjp06ICqVasiNjaWCQURERk8JhVl7OnTp+jZsyc+/fRThISE4Pjx46hZs6bUYRERUUlw9YdaHP4oQydPnsSAAQOQmZmJ/fv3o1u3blKHREREpcHhD7WYVBQiKf0lrj5Oxu3Up8jMyYWJTIYaNjZo7OiEOpXtIC/iKPc3VCoVvv/+e0yfPh2enp7YuHHjW4esERERGTomFf/wKicHe29eR9ilWNx8mgIAkAsCBOH1guRc1evFxZUsLBDUuBkGNGmK6tY2Bd7v8ePHGDJkCH799Vd88cUX+PLLL2Fiwh87EZFB4z4VanFOxd+cuH8PncN/wdSjR3Drr4QCAJSiiFyVKi+hAIDnWVlYdjEaXmE/Y+n5s/leeyMqKgru7u6IiYnB4cOH8c033zChICIyAvq8pHT27Nlo27YtrKysUKlSpWLVEUURM2bMQNWqVWFpaYkuXbrg9u3bJW6bSQUAlSji6+ORCN69HSmZrwAU76wXlShCKYr475lT6L15PZ68ygAAKJVKfPXVV+jcuTMaNmyIS5cuoWvXrjp8B0REVKb0eKKmQqFAQEAA/vWvfxW7zpw5c7Bo0SIsW7YM586dQ4UKFeDt7Y2srKwStV3ukwpRFDE14lesjosB8DpRKI3rKU8QsHUTfr93D97e3vjyyy8xffp0HDlyBFWrVtVmyERERAWaNWsWJk2ahCZNmhTrelEUsWDBAkybNg29evVC06ZNsWbNGjx8+BC7du0qUdvlvi/+l9iL2Pr71UKvSTtxCk+37YR5TRdUC5mg9hqlKOLPF8/hu3QhFNeu4bfffkPnzp11ETIREUlNJQKCBr0NKv1Z/XH37l0kJSWhS5cuec/Z2trCw8MDZ86cKdEp2eU6qbiT+hRzTp8o8rr0i7EwsauM7PsPkPMkBaYO9mqvUwGQu9TAf7ZsQucOHbUcLRER6Q0tLSlNS0vL97S5uTnMzc01iazEkpKSAABOTk75nndycsp7rbjK9fDH18ePQSziD0XO06fIvnsPdv49IatYAekXYoq879LLcXhRwnEoIiIqf1xcXGBra5tXQkND1V43ZcoUCH+tRCyo3Lhxo4yjf1u57am4//w5TiTcK3JCZvqFWMisLGH17juo0Kwp0i/GoLLvh4XWUShzsf36NQxv3lJ7ARMRkR7RdLLl67oPHjyAjc3/tiUoqJdi8uTJGDp0aKF3LO1hlM7OzgCA5OTkfHMAk5OT4e7uXqJ7ldukYtv1q5AJApRF/KHIuBgDq6ZNIJiYoGLL5nh56gyy7yfAvKZrofU2XL3MpIKIyFhpafjDxsYmX1JREAcHBzg4OJS+vUK4ubnB2dkZEREReUlEWloazp07V6IVJEA5Hv44n5hYZEKR/eBP5CQ/RsUW7gAA89pukFeyRfrF2ELriQD+eJaKtOxsLUVLRERUPAkJCYiLi0NCQgKUSiXi4uIQFxeH9PT0vGsaNmyInTt3AgAEQcDEiRPxzTffYM+ePbhy5QqGDBmCatWqwd/fv0Rtl8ueClEUcfVJcpHXpV+IgdzaGhb16gJ4/YOv0NwdGRdiYOffA0IR23T//uQx3qvhopWYiYhIj6hEFG9Ho8Lq68aMGTMQHh6e97h58+YAgMjISHh5eQEAbt68iRcvXuRd89lnnyEjIwOjR4/G8+fP0b59exw6dAgWFhYlartcJhWvcnLwKien0GtElQoZMXGwqFcHuU9T8563qOmKtMgoZN66DauGDQq9R9LfskIiIjIioup10aS+joSFhSEsLKzw5v/RUy8IAr766it89dVXGrVdLpOKooY9ACDrVjyUaWnIiIlDRkzcW69nXIgpMqlQ6fAPDRERkb4pl0mFpYkJBBTecZV+MQayihVhH/DRW69lXLqKjMtXUUWRA5mZaYH3qGhmpnmwRESkf3j0uVrlMqkwlcvhVqky/nj+TO3rKkUOMi5dQQX3Zqjg3uyt1+W2tsiIicWrq9fyJnGq09BeNzN1iYhIYno8p0JK5Xb1R/Oq1SAX1J9b++rqNYjZ2bBq0kjt6+Y1XSGrWAEZFwveCKuimRlcbGy1EisREekZPT5QTErlNqnwqVuvwLkVGRdjIJiawLJBfbWvCzIZrBq9g1fXb0KZkfHW63JBQLe69SEUkLQQEREZo3I5/AEAXjXd4FShIpIz3l6h4TRqeJH1HQb2h8NA9YesKEURg5q6axoiERHpKxEazqnQWiR6pdz2VMhlMkx8r6327ysI8KrphsaOTkVfTEREhonDH2qV26QCAAIbNUbbGi4Fzq0oKQGAhYkJQj8o/GwQIiIiY1SukwpBEDDvQ19UsbTSWmLx3w994VSxolbuRUREekql0rwYoXKdVACAc0VrbOzbD/ZWpU8sZIIAmSDgB+9u+LBOPS1HSEREeofDH2qV+6QCANwqVcaeAYPR2e31sbECip9cyAQB1a1tsKlPP/Rq8I6uQiQiItJ75Xb1xz85WFXAMr9eOBh/C0vOn8ONlCeQCwJUovjWJF0TmQy5KhUqW1hgcNPmGNOyNSxNC95Zk4iIjAx31FSLScXfCIKAbvUawLdufVxOTkLE3T9wOTkJ11OeICs3ByYyOVxsbeHu5Iw21V3QpXYdmMnlUodNRERljTtqqsWkQg1BENDMuSqaOVeVOhQiIiKDwaSCiIiohERRBVGDk6g1qavPmFQQERGVlChqNoTBORVEREQE4K+kgEnFP3FJKREREWkFeyqIiIhKSqUCBA3mRXBOBREREQHg8EcBOPxBREREWsGeCiIiohISVSqIGgx/cEkpERERvcbhD7U4/EFERERawZ4KIiKiklKJgMCein9iUkFERFRSoghAkyWlxplUcPiDiIiItEKnSUXPnj3h6uoKCwsLVK1aFYMHD8bDhw912SQREZHOiSpR42KMdJpUdOrUCVu2bMHNmzexfft23LlzB3379tVlk0RERLonqjQvRkincyomTZqU9981a9bElClT4O/vj5ycHJiamuqyaSIiIp0RVSJEDSZqikY6p6LMJmqmpqZi/fr1aNu2bYEJRXZ2NrKzs/Mep6WllVV4REREpCGdJxWff/45lixZglevXuG9997Dvn37Crw2NDQUs2bNeut5JhdERFSUN78ryqIXIFfM1mgIIxc5WoxGfwhiCX/6U6ZMwffff1/oNdevX0fDhg0BACkpKUhNTcX9+/cxa9Ys2NraYt++fRAE4a16/+ypSExMRKNGjUoSHhERlXMPHjxAjRo1dHLvrKwsuLm5ISkpSeN7OTs74+7du7CwsNBCZPqhxEnFkydP8PTp00KvqV27NszMzN56/s8//4SLiwtOnz4NT0/PIttSqVR4+PAhrK2t1SYhxiotLQ0uLi548OABbGxspA7HYPHnqB38OWoHf47aUdjPURRFvHz5EtWqVYNMprt1CFlZWVAoFBrfx8zMzKgSCqAUwx8ODg5wcHAoVWMq1euuor/3RhRGJpPpLNs0BDY2Nvzw0QL+HLWDP0ft4M9ROwr6Odra2uq8bQsLC6NLBrRFZ3Mqzp07h/Pnz6N9+/aoXLky7ty5g+nTp6NOnTrF6qUgIiIiw6Kz/iErKyvs2LEDH3zwARo0aIARI0agadOmiIqKgrm5ua6aJSIiIonorKeiSZMmOHr0qK5ub9TMzc0xc+ZMJl8a4s9RO/hz1A7+HLWDP0f9VuKJmkRERETq8EAxIiIi0gomFURERKQVTCqIiIhIK5hUEBERkVYwqdBj9+7dw4gRI+Dm5gZLS0vUqVMHM2fO1MpObuXN7Nmz0bZtW1hZWaFSpUpSh2Mwli5dilq1asHCwgIeHh6Ijo6WOiSDc/z4cfTo0QPVqlWDIAjYtWuX1CEZpNDQULRu3RrW1tZwdHSEv78/bt68KXVY9A9MKvTYjRs3oFKpsHz5cly7dg3z58/HsmXL8MUXX0gdmsFRKBQICAjAv/71L6lDMRibN29GSEgIZs6ciZiYGDRr1gze3t54/Pix1KEZlIyMDDRr1gxLly6VOhSDFhUVhbFjx+Ls2bM4cuQIcnJy8OGHHyIjI0Pq0OhvuKTUwMydOxc//fQT/vjjD6lDMUhhYWGYOHEinj9/LnUoes/DwwOtW7fGkiVLALzeZt/FxQXjx4/HlClTJI7OMAmCgJ07d8Lf31/qUAzekydP4OjoiKioKLz//vtSh0N/YU+FgXnx4gXs7OykDoOMnEKhwMWLF9GlS5e852QyGbp06YIzZ85IGBnRay9evAAAfh7qGSYVBiQ+Ph6LFy/GmDFjpA6FjFxKSgqUSiWcnJzyPe/k5KSVI5+JNKFSqTBx4kS0a9cOjRs3ljoc+hsmFRKYMmUKBEEotNy4cSNfncTERPj4+CAgIACjRo2SKHL9UpqfIxEZvrFjx+Lq1avYtGmT1KHQP+js7A8q2OTJkzF06NBCr6ldu3befz98+BCdOnVC27ZtsWLFCh1HZzhK+nOk4rO3t4dcLkdycnK+55OTk+Hs7CxRVETAuHHjsG/fPhw/fhw1atSQOhz6ByYVEnBwcICDg0Oxrk1MTESnTp3QsmVLrF69GjIZO5feKMnPkUrGzMwMLVu2RERERN6kQpVKhYiICIwbN07a4KhcEkUR48ePx86dO3Hs2DG4ublJHRKpwaRCjyUmJsLLyws1a9bEvHnz8OTJk7zX+G2xZBISEpCamoqEhAQolUrExcUBAOrWrYuKFStKG5yeCgkJQXBwMFq1aoU2bdpgwYIFyMjIwLBhw6QOzaCkp6cjPj4+7/Hdu3cRFxcHOzs7uLq6ShiZYRk7diw2bNiA3bt3w9raOm9uj62tLSwtLSWOjvKIpLdWr14tAlBbqGSCg4PV/hwjIyOlDk2vLV68WHR1dRXNzMzENm3aiGfPnpU6JIMTGRmp9s9ecHCw1KEZlII+C1evXi11aPQ33KeCiIiItIID9ERERKQVTCqIiIhIK5hUEBERkVYwqSAiIiKtYFJBREREWsGkgoiIiLSCSQURERFpBZMKIiIi0gomFURERKQVTCqIiIhIK5hUEBERkVYwqSAiIiKt+H/SBgNDgNB7BQAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -320,13 +320,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcYAAAGdCAYAAACIK9MdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABQmUlEQVR4nO3de1wU9f4/8NfsAgsqrCJyURHNSFSsBC+gXdVQyzS7qEcPWpnmsU6aWempvqm/U3Y5p7SLlR2NSlNPxzzp0SgqbyVagpfMG5kKKogXZDXltvP5/UG7sTC77GUGlt3X8/GYRzH7mdnPuLovPu/5zIwkhBAgIiIiAICusTtARETkTRiMRERENTAYiYiIamAwEhER1cBgJCIiqoHBSEREVAODkYiIqAYGIxERUQ0Bjd2BxiDLMk6dOoXQ0FBIktTY3SEishJC4OLFi2jbti10Ou3GLmVlZaioqPB4P0FBQQgODlahR97DL4Px1KlTiI2NbexuEBHZVVBQgPbt22uy77KyMnSKa4GiYrPH+4qOjsbRo0d9Khz9MhhDQ0MBVP/FCwsLa+TeEBH9wWQyITY21vo9pYWKigoUFZtxNCcOYaHuj0pNF2V0Sj6OiooKBmNTZymfhoWFMRiJyCs1xGmesFCdR8Hoq/wyGImICDALGWYPHiNhFrJ6nfEiDEYiIj8lQ0CG+8noybbejMFIROSnZMjwZMzn2dbei8VlIiKiGjhiJCLyU2YhYPbgWfWebOvNGIxERH6K5xiVsZRKRERUA0eMRER+SoaAmSPGOhiMRER+iqVUZSylEhER1cARIxGRn+KsVGUMRiIiPyX/vniyvS9iKZWIiKgGjhiJiPyU2cNZqZ5s680YjEREfsos4OHTNdTrizdhMBIR+SmeY1TGYCQiUiDEFaAsE6LiR6BiN2A+AcAMSAYg4Gog8DpIhluAoFRIEqdr+BIGIxFRDUL+DeK3RcDlTwDxG6q/JqtqNKgEKncDlfsgLn8I6NsDzacAIfc2uYCUIcEMyaPtfVHT+hSJiDQkyrdDnB0K/Lbk91AEbELRxu/rzSchTM9CnB8PYT7ZEN1UjSw8X3wRg5GICIC48hlEyQRALoZrZ89+T4fKHIizIyEqD2jRPWpADEYi8nui7EuI0tmoDjl3p5SYAXGxeuRYdVzF3mnH/Hsp1ZPFFzEYicivCXMRROnTKu3NDIhLEKUzIYRZpX1qh8GojMFIRH5NlD4LiHLAwcXqe/eX48HpRejc5yiadfwFYZ1/Qa/b8vHq2+dxvqR2AJqByj3A5Y817Tdph7NSichvicr9QMUWh23eX1aKR2cXo0vnIMyc2gpdrwlCZaVAzp5yvPdRKbJ3luGzD9rW3feld4BmYyFJQVp132OykCALD2alerCtN2MwEpHfEpeXA9ADUC57Zu+8gkdmFWPQTc2w5oMYGAx/FNluu7k5ZkxphcyNvyluC1EClGUBIXeo33GVeFoOZSmViMiHCCGAsi9hLxQBYP4bJZAk4L1XI21C0SIoSMLwwS3sbK2HKMtSp7PUoDhiJCL/JJ8ChMnuy2azwMbvLiP52mDEtgt04w3M1TcC8GJm6GD2YHzk/dOL3MNgJCL/VHnY4ctnz5tx+YpAxw4efE3KpyDEFUhSiPv70JDw8Byj4DlGIiIfIuycG1T9fa4AXhqMPMeojOcYicg/SXqHL0eE69EsRMKxfHu3hHOW4/ch78NgJCL/pItx+LJeL2HAjc2Qs7cMJ05VuvkmwYAU6ua22jMLnceLL2qQo1q0aBE6deqE4OBgJCcnY+vWrXbb3n///ZAkqc7SvXt3a5uMjAzFNmVlZQ1xOETkCwITUN9X4Ky/toIQwOSZxaioqHsDgMpKgXVfXXLwHt28+okbMiTI0HmwsJTqllWrVmH69Ol45plnsGvXLtx4440YOnQo8vPzFdsvXLgQhYWF1qWgoADh4eG47777bNqFhYXZtCssLERwcLDWh0NEPkKSgoGABMDBl3tqrxC8/VIkvtl6Gb0H5+OdjAvYvO0yvt5yGf9YVILEm4/jgxX2ZrbqgaDemvSdtKX55JvXXnsNEydOxEMPPQQAWLBgAb788ku88847mD9/fp32RqMRRqPR+vN///tflJSU4IEHHrBpJ0kSoqOjte08Efm081fS0CpgPyQHA59JfzaiT89gLFhcglfeKkHRGTMCA4BrrgrCn0aG4pEHjHa2NEMKuc/Oa96Bk2+UaRqMFRUVyMnJwaxZs2zWp6WlYdu2bU7tY8mSJRg0aBDi4uJs1l+6dAlxcXEwm824/vrr8f/+3/9Dz549FfdRXl6O8vJy688mk/1rl4jI9x0/fhzz58/HyhUf4FhOB4Q2lxyG43XdDfhgoSu/iOuBoFRIAR087quWPD1PaBa++UBGTUupZ8+ehdlsRlRUlM36qKgoFBUV1bt9YWEhvvjiC+to0yIhIQEZGRlYu3YtVqxYgeDgYPTv3x95eXmK+5k/f751JGo0GhEbG+v+QRFRk3X8+HFMmTIF8fHxWL16NZ559u8wtJ7jMBTdo4MU9pzaO/UZrsw7AaoHN8888wzi4uJgMBjQuXNnLF26VLP+Nch1jFKtv3VCiDrrlGRkZKBly5a46667bNanpKQgJSXF+nP//v2RlJSEN998E2+88Uad/cyePRszZsyw/mwymRiORH7EMkJcunQpjEYjXnjhBfzlL39BixYtIISAKNkIVHwH95/FaEsKnQkpoJMq+9JS9eQbD24i7sa2lnknixYtQv/+/fHee+9h6NCh2L9/Pzp0UB5hjxo1CqdPn8aSJUtw9dVXo7i4GFVVnl5GY5+mwRgREQG9Xl9ndFhcXFxnFFmbEAJLly5Feno6goIc351ep9Ohd+/edkeMBoMBBoPBtc4TUZPnKBAtJEkCWr4OcX4cUJUHj290FjIGaHa/Z/toILKHt4STHTyqyx5X551kZmZi8+bN+PXXXxEeHg4A6Nixo9t9doampdSgoCAkJycjK8v2RrpZWVno16+fw203b96MX375BRMnTqz3fYQQ2L17N2JiHF+XRET+oXbJ9IUXXsDRo0fx5JNP2oSihaQLhRS+DJXSdQAA10+d/f5V2nwSpLA5TlXEfInJZLJZas7pqMky7yQtLc1mvaN5J2vXrkWvXr3wyiuvoF27drjmmmswc+ZMXLlyRfXjsNC8lDpjxgykp6ejV69eSE1NxeLFi5Gfn48pU6YAqC5znjx5Eh999JHNdkuWLEHfvn2RmJhYZ59z585FSkoK4uPjYTKZ8MYbb2D37t14++23tT4cIvJizowQ7ZF0YZj8VCAiml/EK8+1BlAJRw8vrqYDIAO6aEgtX4EU1EeFo2g4ak2+qX1q6vnnn8ecOXPqtHdn3smvv/6K7777DsHBwVizZg3Onj2LqVOn4vz585qdZ9Q8GEePHo1z585h3rx5KCwsRGJiIjZs2GCdZVpYWFjnmsbS0lKsXr0aCxcuVNznhQsXMHnyZBQVFcFoNKJnz57YsmUL+vRpWn8piUgdngSixbp16/DRR8uQkZEBXdSdwOXVEJeXAXLh7y10qL7mUYY1MAN7QGo2Hgge7NUPJLbHcqG++9tX/zkUFBQgLCzMur6+U1euzDuRZRmSJGH58uXWS/lee+013HvvvXj77bcREqL+fWgbZPLN1KlTMXXqVMXXMjIy6qwzGo24fPmy3f29/vrreP3119XqHhE1UWoEIgCcP38ekydPxh133IHx48dXf0m3mAQ0fwiQi4DKfYC5ABBVgBQMBMQDgd0h6cLq37kXMwsJZg+ekGHZNiwszCYY7XFn3klMTAzatWtnc317165dIYTAiRMnEB8f73b/7eHTNYioyVErEC2mT5+OsrIyLF682GbkIkkSoI+pXshjNeedjBw50ro+KysLI0aMUNymf//++PTTT3Hp0iXr53v48GHodDq0b99ek3567038iIhqcXVSjTPWrVuHjz/+GAsWLEDbtm1V7rF3szyo2JPFVTNmzMC//vUvLF26FAcOHMDjjz9eZ97J+PHjre3Hjh2L1q1b44EHHsD+/fuxZcsWPPnkk3jwwQc1KaMCHDESUROg9gjRonYJ1d/IQgfZg8k3sht3vnF13kmLFi2QlZWFv/71r+jVqxdat26NUaNG4e9//7vb/a6PJISP3tPHAZPJBKPRiNLSUqfq4kTUOGoH4lNPPaVKIFqMHz8e69atw88//+w1o8WG+H6yvMfS3J5oFur+8yIvXzTjwaRdPvddyhEjEXkdrUaINVlKqBkZGV4Tig3N3XLoH9v75riKwUhEXqMhAhFgCdVCBjyalarODfS8D4ORiBpdQwWihb1ZqEQAg5GIGlFDByLAEmpNnl/g75sXNjAYiajBNUYgAiyh1ub5LeEYjEREHmmsQLRgCZWcwWAkIs01diACLKEqaYznMTYFDEYi0ow3BCLAEqo9LKUqYzASkeq8JRAtWEJV5vl1jAxGIiKHvC0QAZZQyXUMRiLymDcGIsASan1kIUH25AJ/D7b1ZgxGInKbtwaiBUuojskellJ5HSMR0e+8PRABllDJfQxGInJaUwhEgCVUZ3n+2CmOGInITzWVQLRgCdU5Zkgwe3AtoifbejMGIxHZ1dQCEWAJlTzHYCSiOppiIAIsobqKpVRlDEYismqqgWjBEqprzPCsHGpWrytehcFIRE0+EAGWUEk9DEYiP+YLgQiwhOoullKVMRiJ/JCvBKIFS6ju4U3ElTEYifyIrwUiwBKqJ4SHj50SvFyDiJoqXwxEgCVU0gaDkciH+WogWrCE6hmWUpUxGIl8kK8HIsASqhr4dA1lDEYiH+IPgQiwhEraYjAS+QB/CUQLllDVYfbwsVOebOvNGIxETZi/BSLAEqqaWEpVxmAkaoL8MRABllCpYTAYiZoQfw1EC5ZQ1SVDB9mDcqgn23ozBiNRE+DvgQiwhKoFs5Bg9qAc6sm23ozBSOSiSrkCB00/Iv/yQZy4/AsuVJ6FEDKC9c3RLqQz2jXrjG5hfdEyqI3H78VArMYSKjUkBiORk66Yf8OW4s/ww7kvUSZfhg56yDUevHOxqgTnyk9hz4Ut2HDqA1wTmowBUfehfbN4l9+LgWiLJVRtcPKNMgYjkRMOX8zF6oK38FuVCQIyANiEooX8+2sAkHcxF4cu5uCmNiMxIGoUAnVB9b4PA7EullC1Izx8uobw0TvfNMhRLVq0CJ06dUJwcDCSk5OxdetWu203bdoESZLqLAcPHrRpt3r1anTr1g0GgwHdunXDmjVrtD4M8lPfnVmLD4/+Hb9VlVpD0RnVISmw5cwaLPn1eZSZf7Pb9vjx45gyZQri4+OxevVqvPDCCzh69CiefPJJvw5FllC1ZYbk8eKLNA/GVatWYfr06XjmmWewa9cu3HjjjRg6dCjy8/Mdbnfo0CEUFhZal/j4P8pR2dnZGD16NNLT07Fnzx6kp6dj1KhR2LFjh9aHQ34m++wGfFGYAQAQEG7uReDE5TxkHP07KuUKm1cYiI6xhEqNQfNgfO211zBx4kQ89NBD6Nq1KxYsWIDY2Fi88847DreLjIxEdHS0ddHr9dbXFixYgNtuuw2zZ89GQkICZs+ejYEDB2LBggUaHw35k1NXjmL9qaWq7EtAxonLh/HN6ZUAGIjOsJRQFyxYwBKqRmTxx3lG95bGPgJtaBqMFRUVyMnJQVpams36tLQ0bNu2zeG2PXv2RExMDAYOHIiNGzfavJadnV1nn4MHD7a7z/LycphMJpuFyBGzqMKn+QsUC0V7Pz+OF69bY11e7v05Fg7YgGUTt2LbkkP47Vy54j4FBLae+RyP/t9EBmI9WEJtGPLv5xg9Wdzhyum1mr7//nsEBATg+uuvd+t9naXp5JuzZ8/CbDYjKirKZn1UVBSKiooUt4mJicHixYuRnJyM8vJyfPzxxxg4cCA2bdqEm266CQBQVFTk0j7nz5+PuXPnqnBE5C/2l/6A4vICh22GzUtC606hMFfJuHy+HAW7ziH7gzzs+DAPd73SB51SIutsI1eZURp7hJNq6sESqu+ynF5btGgR+vfvj/feew9Dhw7F/v370aFDB7vblZaWYvz48Rg4cCBOnz6taR8bZFZq7b/YQgi7f9m7dOmCLl26WH9OTU1FQUEB/vGPf1iD0dV9zp49GzNmzLD+bDKZEBsb6/JxkP/IPrseEnQOJ9u0uToMMd1bWX9OGNQOff58NT6+fwtWz9iBKetuQ4vWwTbb6AJ06NA3HBMTxqNFEENRCWehNhwZEmQPJtC4s23N02tA9amxL7/8Eu+88w7mz59vd7uHH34YY8eOhV6vx3//+193u+wUTUupERER0Ov1dUZyxcXFdUZ8jqSkpCAvL8/6c3R0tEv7NBgMCAsLs1mI7PmtqhTHLx9waQaqhTGmGQY+0QMVv1Vh16fHFNtIkPBzabaHvfRNLKE2LMudbzxZANQ5VVVernw6wd3Tax988AGOHDmC559/Xr2Dd0DTYAwKCkJycjKysrJs1mdlZaFfv35O72fXrl2IiYmx/pyamlpnn1999ZVL+ySy5+SVIx5t3/mGKEh6CQW5Z+20kHDysmfv4atYQm2aYmNjYTQarYu9kZ87p9fy8vIwa9YsLF++HAEBDXPpvebvMmPGDKSnp6NXr15ITU3F4sWLkZ+fjylTpgCoLnOePHkSH330EYDqYXXHjh3RvXt3VFRUYNmyZVi9ejVWr15t3ee0adNw00034eWXX8aIESPw+eef4+uvv8Z3332n9eGQHyi6cqzeMqojQc0C0KxlEC6eKVN8XUDGySu/eNJFn8QSasPzZAKNZXsAKCgosKnEGQwGh9s5eyrMbDZj7NixmDt3Lq655hq3++kqzYNx9OjROHfuHObNm4fCwkIkJiZiw4YNiIuLAwAUFhbaXNNYUVGBmTNn4uTJkwgJCUH37t2xfv163H777dY2/fr1w8qVK/Hss8/iueeeQ+fOnbFq1Sr07dtX68MhP3DFfBk6SYLZg6noop5ty8xX3N+5D2IJtXHI8PCWcL+fY3T2FJWrp9cuXryInTt3YteuXXj00Uer31OWIYRAQEAAvvrqKwwYMMDt/tvTIOPSqVOnYurUqYqvZWRk2Pz81FNP4amnnqp3n/feey/uvfdeNbpHZEMn6eoNNkcqLlfhSmkFIuPtf1HoWCa0wRKqf6h5em3kyJHW9VlZWRgxYkSd9mFhYfjpp59s1i1atAjffvst/vOf/6BTp06a9JP3SiWqJTSglc09T131y9YiCLNAh14RDt4j3O39+xqWUBuP8HBWqnBjW1dOr+l0OiQmJtpsHxkZieDg4Drr1cRgJKqlbchVgJu3fystvIxvX9sHQ2gget6r/NusDnrENmu48yXejCXUxtUYT9dw9fRaY2AwEtUSE9IReikAZlHlsN2ZX0yQzQJylYzffr/Af+/n+dDpgHte64vm4coTEGSYGYy/Ywm1cak1+cZVrpxeq23OnDmYM2eOW+/rLAYjUS2BOgOua3kTdpdsclhS/d//5QIA9IE6GEIDEXFVKFIfiMd1IzvaDUXL/rsbU1Tvd1PDEip5KwYjkYKU1kORW/Kt4mvXjojDtSPi3NqvBB16tRoIgz7Ek+41eSyhegc+qFiZbz5lkshD7Zp1Rs9Wt0JS9Z+IhGB9M9wadZ+K+2yaWEL1DpZbwnmy+CIGI5Edd7R9EM0DwlQMR4G72v8FzQOMKu2vaeLjpMjbMRiJ7AjRN8eETs8iUBekSjgOiByFRGOqCj1rulhC9S6ePYvRszKsN2MwEjnQNuQqTOr8dzQLCHUrHKu3kZAW/WcMiBqtfgebGJZQvQuDURmDkagebUOuwuPXvInrWt4IoPo6xPpIv597aRUUiYc7v4ibI+/2+yBgCZWaCs5KJXJCSEAL3NdhGlIibseOs19gT+lWyMJcHYBCQlVVFQICAiCk6ss72oZchdSI25Fo7I9AXVAj977xsYTqnTgrVRmDkcgFsc3iEdshHneaJ6Gw7ChOXj6CX04exMcrPsL94yYi6apUtA3pjJZB9m8H549YQvVODEZlLKUSucGgD0HH5t3Qv82d6CEPxDf/3Idu4iZ0M/ZlKNbCEio1NRwxEpFmWEL1bgLw8CbivonBSESaYQnVu7GUqozBSESa4L1QvR+DURnPMRKR6lhCpaaMI0YiUh1LqE0DR4zKGIxEpCqWUJsOBqMyllKJSDUsoZIv4IiRiFTDEmrTIoQE4cGoz5NtvRmDkYhUwRJq0+PpMxX5PEYiIjtYQiVfwhEjEXmMJdSmiZNvlDEYicgjLKE2XTzHqIylVCJyG0uo5Is4YiQit7GE2rSxlKqMwUhEbmEJteljKVUZg5GIXMYSqm8QHo4YfTUYeY6RiFzGEir5Mo4YicglLKH6DgFAePC0YT6omIj8HkuovkWGBIl3vqmDpVQictr06dNx5coVvPfeeyyhks/iiJGInFKzhNquXbvG7g6pgLNSlTEYiaheLKH6JllIkHgdYx0spRJRvVhCJX/CESMROcQSqu8SwsNZqT46LbVBRoyLFi1Cp06dEBwcjOTkZGzdutVu288++wy33XYb2rRpg7CwMKSmpuLLL7+0aZORkQFJkuosZWVlWh8KkV9hCdW3Wc4xerL4Is2DcdWqVZg+fTqeeeYZ7Nq1CzfeeCOGDh2K/Px8xfZbtmzBbbfdhg0bNiAnJwe33nor7rzzTuzatcumXVhYGAoLC22W4OBgrQ+HyK+whEr+SPNgfO211zBx4kQ89NBD6Nq1KxYsWIDY2Fi88847iu0XLFiAp556Cr1790Z8fDxefPFFxMfHY926dTbtJElCdHS0zUJE6rGUUBcuXMgSqo9qrBGj2lVEtWkajBUVFcjJyUFaWprN+rS0NGzbts2pfciyjIsXLyI8PNxm/aVLlxAXF4f27dtj2LBhdUaUROQ+llD9g+XpGp4srtKqiqgmTYPx7NmzMJvNiIqKslkfFRWFoqIip/bxz3/+E7/99htGjRplXZeQkICMjAysXbsWK1asQHBwMPr374+8vDzFfZSXl8NkMtksRGQfS6j+wTL5xpPFVVpVEdXUILNSa//DEkI49Y9txYoVmDNnDj7//HNERkZa16ekpCAlJcX6c//+/ZGUlIQ333wTb7zxRp39zJ8/H3PnzvXgCIj8B2ehkqtqDzYMBgMMBkOddpYq4qxZs2zWq1FFVJOmI8aIiAjo9fo6o8Pi4uI6o8jaVq1ahYkTJ+Lf//43Bg0a5LCtTqdD79697Y4YZ8+ejdLSUutSUFDg2oEQ+QmWUP1L9ajPk3OM1fuJjY2F0Wi0LvPnz1d8P62qiGrTdMQYFBSE5ORkZGVlYeTIkdb1WVlZGDFihN3tVqxYgQcffBArVqzAHXfcUe/7CCGwe/du9OjRQ/F1e7+9EJEtllD9i1q3hCsoKEBYWJh1fX3ft2pXEdWmeSl1xowZSE9PR69evZCamorFixcjPz8fU6ZMAVA9mjt58iQ++ugjANUHPn78eCxcuBApKSnW3yJCQkJgNBoBAHPnzkVKSgri4+NhMpnwxhtvYPfu3Xj77be1Phwin8USKrkrLCzMJhjtUaOK+Omnn9ZbRfSU5pdrjB49GgsWLMC8efNw/fXXY8uWLdiwYQPi4uIAAIWFhTazkd577z1UVVXhkUceQUxMjHWZNm2atc2FCxcwefJkdO3aFWlpaTh58iS2bNmCPn36aH04RD6JJVT/JFRYXFGzilhTVlYW+vXrZ3e7FStW4P7778cnn3ziVBXRUw0y+Wbq1KmYOnWq4msZGRk2P2/atKne/b3++ut4/fXXVegZEQH1l1CFENhz/hR2ninATyWFOHHpAiqFjNAAAxJaRqJHeAxuiumMcEOzRug9uasxnq6hRRVRbbxXKpGfc1RCrZJl/OfoHnxweAd+MZ2DDhIkCTDXmKe/82wBqoSMAEmHYR26YXJCKrq01O78DzVto0ePxrlz5zBv3jwUFhYiMTHR6SriI488Yl0/YcKEOgMrtUhC+OptYO0zmUwwGo0oLS11qi5O5Ehubi6Sk5ORk5ODpKSkxu6OS86fP4/u3bsjOTkZ69atsxkt/mI6iye2f459JUWQ4FzZTC9JEAD+2u0GTOnaH0F6vVZd91kN8f1keY+rPvwb9M3cv5Wm+XIZfp3wos99l3LESOTH7JVQN57Kw1++Xw1ZyACcP5dkGUm+8fNWfHf6KJbcNAahgZwR7rU8vRE4byJORL7E3r1Qtxb9ioe/+xRVstmmZOoKAWD3uZO4f/MKXKmqVKnHpLbGuPNNU8BgJPJD9mahnrlyCX/d9hlkIVyecVibWQjsPXcKr+7d6OGeiBoWS6lEfsheCfXZnV/gclWF3VC8uCkXZ979TPE14x390Tp9qM06GQIf5v2IIe0T0Ceyg1rdJ5U0xqzUpoDBSORn7M1C3XvuFL4+ddipfbSZcjcC27WxWRfQKlSxrU6S8I+fNuLfAye432nShpA8O0/IYCSips7RhfzLf8mBXtLB/PuEG0eCYqNg6Ozc3XFkIZBz9gQOXSjmZRzUJPAcI5EfsVdCrZJlrCvY71QoukMvSViX/7Mm+yb3cfKNMo4YifyEowv5j5jOotxc5fS+hCxDmM026yQH1yzKQmDPuVOudZi058593Wpv74MYjER+oL57oe6/cNql/Z167r066zotn2s3HAWAfSWFLr0HUWNhMBL5gWnTpjm8F+qFiivQQYLs5BCgzdR7ENTO9nyhoxEjAFysrHC+w9QgOCtVGYORyMetXbsWy5Ytc/g4KQmufcEFtYt0evKNhc43v0ObPh8th3qCk2+IfNj58+fx8MMP1/s4qdbBzZweLbrLGBSi6f6J1MIRI5EPq6+EapHYKlrTfkgArg2P0fQ9yHUspSpjMBL5KGdKqBZxLcLRItCAS5XlmvRFJ0no2bq9JvsmD3BWqiKWUol8kLMlVAudJOHejtdC72BU6QlZCNzVMVGTfZMnJBUW38MRI5EPcraEWtO4q5ORkfejwzahtyQh9BbXnjmplyTcGH0V2jdv6dJ2RI2FI0YiH2MpodZ+nFR9rgprjT9d1RM6lUeNEiQ8de0AVfdJKhEqLD6IwUjkQ1wtodY26/qBaBPcQtWS6rTEm3iPVG/FYFTEYCTyIe6UUGtqEWjAkhtHw6AP8HjkKAEY0j4BDyekerQfoobGYCTyEe6WUGvr2ioKK25NR1hgsFsjR8sWd3bojgWpd0Gv49eM17I8dsqTxQfxbyyRD/C0hFpbYngMvhr6MNLaJQCA0wGpkyQ0DwjCP/sOx2spIxCoc3ybOGpcfLqGMs5KJfIBnpZQlbQObo63+t+N708fxUeHf8Q3p/IgAARIOshCwGw2I0CvhwwBAaC1oRn+fHUyxl6dhIjgFqr0gagxMBiJmjhXLuR3R/+oTugf1QlnrlzCrnMnsa+kEPsKjmF95gbcNXQY+l/dFYmtYtAjPIYjxKaGF/grYjASNWFql1AdaRPSAmntuyCtfRfkVubigzcfwMP3z0JSvGvXNZIX8fQ8Ic8xEpG30aKESuTvOGIkaqK0LqGS75NE9eLJ9r6IwUjUBDVkCZV8GM8xKmIwEjVBLKGSKniOURGDkaiJYQmVSFsMRqImhCVUUhVLqYoYjERNCEuopCoGoyIGI1ETwRIqUcNgMBI1ASyhkiY4YlTEYCRqAlhCJU1wVqoiBiORl2MJlahhMRiJvBhLqKQl3vlGWYPcK3XRokXo1KkTgoODkZycjK1btzpsv3nzZiQnJyM4OBhXXXUV3n333TptVq9ejW7dusFgMKBbt25Ys2aNVt0najQsoZKmhAqLG7TIBDVpHoyrVq3C9OnT8cwzz2DXrl248cYbMXToUOTn5yu2P3r0KG6//XbceOON2LVrF/72t7/hsccew+rVq61tsrOzMXr0aKSnp2PPnj1IT0/HqFGjsGPHDq0Ph6jBWEqoCxcuZAmVfIYWmaA2SQhtn8Hct29fJCUl4Z133rGu69q1K+666y7Mnz+/Tvunn34aa9euxYEDB6zrpkyZgj179iA7OxsAMHr0aJhMJnzxxRfWNkOGDEGrVq2wYsWKevtkMplgNBpRWlqKsLAwTw6PCLm5uUhOTkZOTg6SktR5BNP58+fRvXt3JCcnY926dV43WtTimKlaQ3w/Wd6jw8t/hy4k2O39yFfKkP/0sy71VYtMUJumI8aKigrk5OQgLS3NZn1aWhq2bdumuE12dnad9oMHD8bOnTtRWVnpsI29fZaXl8NkMtksRN6MJVRqCBL+OM/o1vL7fmp/v5aXlyu+n1aZoDZNg/Hs2bMwm82IioqyWR8VFYWioiLFbYqKihTbV1VV4ezZsw7b2Nvn/PnzYTQarUtsbKy7h0SkOZZQqcFYLtfwZAEQGxtr8x2rNPIDtMsEtTXIrNTav/EKIRz+FqzUvvZ6V/Y5e/ZszJgxw/qzyWRiOJJX4ixUaooKCgpsSqkGg8Fhey0yQU2aBmNERAT0en2d3wSKi4vr/AZgER0drdg+ICAArVu3dtjG3j4NBkO9HxSRN2AJlRqUSne+CQsLc+oco1aZoDZNS6lBQUFITk5GVlaWzfqsrCz069dPcZvU1NQ67b/66iv06tULgYGBDtvY2ydRU8ASKjW4Br5cQ6tMUJvml2vMmDED//rXv7B06VIcOHAAjz/+OPLz8zFlyhQA1WXOmiWjKVOm4Pjx45gxYwYOHDiApUuXYsmSJZg5c6a1zbRp0/DVV1/h5ZdfxsGDB/Hyyy/j66+/xvTp07U+HCJNsIRK/kKLTFCb5ucYR48ejXPnzmHevHkoLCxEYmIiNmzYgLi4OABAYWGhzfUrnTp1woYNG/D444/j7bffRtu2bfHGG2/gnnvusbbp168fVq5ciWeffRbPPfccOnfujFWrVqFv375aHw6RJlhCpcbQGHe+0SIT1Kb5dYzeiNcxkpo8vaZv7dq1GDFiBDIyMjBhwgQNeqg+XseonYa8jrHj31+ALtiD6xjLynDs2Wd87ru0QW4JR0TKWEIl8j68iThRI2IJlRoVn8eoiMFI1Ej4OClqbHy6hjKWUokaAUuoRN6LI0aiRsASKnmFGrd1c3t7H8RgJGpgLKGS1+A5RkUMRqIGxBIqeROeY1TGc4xEDYglVCLvxxEjUQNhCZW8DkupihiMRA2AJVTySh6WUn01GFlKJWoALKESNR0cMRK54eiZ89h9vBD7TxXjcP4JxN7zIN794SBSL8no3j4K13doi6AAPQCWUMmLsZSqiMFI5CRZFvhi7yEs27YLewuqH5waoNOhSpbR4uruyM4/jez8YshCoFWzEIxOuRa3J8SxhErei8GoiMFI5ITjZy9g9qeZ2JNfCF2NUmiVLAMAJEmCLADLN0XJ5StYvPEHLP76e6BdZ7z77rssoRI1ETzHSFSPLQeP4q6FH2HfiepRouzkk9pkIWCGDuG33YPFOw7A/HuIEnkLy3WMniy+iCNGIge+O3wMj378OWRZuFU1knTVv3t+tnMfKs1mvHDvYOh0HDkSeTOOGInsKCq9iMeX/w+ycC8UaxIA1u46gJU79qjRNSLSEEeMRAqEEPi/1Vkor6qCUuX0wt4fcGrDSpt1+pDmMEREo3XfWxB6dXfF/b66YQtu7NIRseEtNeg1kYs4+UYRR4xECn749QS+zzsOs+z4X37b28egY/pj6Jj+GGKG3AfodCj4zxJczPtZsb1ZlrHo6+1adJnIZTzHqIzBSKTgk+zd0DtxLtDQJgbN2nVEs3YdEdblWnS4dyIkfQBKD+QqtjfLAhv2HELJb1fU7jKRe4QHi49iMBLVcqmsHN/uP1LvaFGJFBAISa+HpNPbbWOWZXy177AnXSQiDTEYiWo5cOqM05dkCCFDyGYIsxmVpgs4/fV/IVdWwNgtye42Op2EnwpOq9VdIvd5Mlr04VEjJ98Q1bL/VDF0kuRUOB77aKHNz5I+ANG33Y0WVyXY3cYsC+wtKPS4n0Se4vMYlTEYiWq58NsVp4Ox7bCxMLSOAgCYr1yC6fBPKPrqM0DICE++0e52PMdI5L0YjES1uHLVoqF1FEJiYq0/t7iqKypLS3B64/9g7N4L+uAQO+9B5AV4uYYinmMkqqVlsxCnzzEqCY5sC1FViYrzxQ7eI9jt/ROphZdrKGMwEtXStW2kR8FYdvokAEDfrIXi63qdhGtjY9zePxFpi6VUolq6tYuEJEHxjje1lZ8phJDNAADzlcu4eHgvfjt2GKHX9EBQy9aK28hCILF9lJpdJnIPS6mKGIxEtYQGG3BTl0747vCxeq9lrHlbOJ0hGEHG1ogaMAKtkvrb3UYnSUhLjFetv0RuYzAqYjASKRiX2hObDx61+3rLa/ug5bV9XN6vXlcdihGhzT3pHhFpiOcYiRT0i++A3p3aO3VbOFfoJAmPDEpVdZ9E7uLkG2UMRiIFkiTh7/emIUCn7j+R6YNvQKc24aruk8htvPONIgYjkR3tw40Y1bkNhCw7NxPHASFktLxcgrEp16rUOyIVMBgVMRiJ7Fi3bh3+b/IEtCs6hAC93qOyavdWzbDjnZcw8cEHYTabVewlEamNk2+IFKxbtw733HMP7rzzTqz819s4dq4UT/87E4cKz0CCc78o6yUJgQF6zBp2C+7tnYh/dwzHuHHjAAAZGRnQ6+0/gYOoIfBeqcoYjES12ITiypUIDAxEfHQEVj3yJ/w3Zz+Wfb8LvxSfgyQBOkkHsywDwO8/SzDLAs0NQbi3dyLS+ychpmUoAGD06NEAwHAk78HLNRQxGIlqUApFi0C9Hvf16YF7eyfiwKli7DpeiP2nTuN06SWYZRmhwQYkxLRBt3ZR6Ns5FiFBgXX2z3Ak8n4MRqLfOQrFmiRJQrd2UejWzr271zAcyVt4eym1pKQEjz32GNauXQsAGD58ON588020bNlSsX1lZSWeffZZbNiwAb/++iuMRiMGDRqEl156CW3btnX6fTWdfFNSUoL09HQYjUYYjUakp6fjwoULdttXVlbi6aefRo8ePdC8eXO0bdsW48ePx6lTp2za3XLLLZAkyWYZM2aMlodCPs7ZUFTL6NGjsXz5cqxYsQL3338/J+RQ4/DyWaljx47F7t27kZmZiczMTOzevRvp6el221++fBm5ubl47rnnkJubi88++wyHDx/G8OHDXXpfTUeMY8eOxYkTJ5CZmQkAmDx5MtLT07Fu3TrF9jUP6rrrrkNJSQmmT5+O4cOHY+fOnTZtJ02ahHnz5ll/DglRfrwPUX0aOhQtOHIksu/AgQPIzMzE9u3b0bdvXwDA+++/j9TUVBw6dAhdunSps43RaERWVpbNujfffBN9+vRBfn4+OnTo4NR7axaMWh9Us2bNEB0drVX3yU80VihaMBypUak0+cZkMtmsNhgMMBgMHuwYyM7OhtFotOYHAKSkpMBoNGLbtm2KGaKktLQUkiTZLb8q0ayUWt9BOcveQS1fvhwRERHo3r07Zs6ciYsXL9rdR3l5OUwmk81C1NihaMGyKjUWSYUFAGJjY62nzIxGI+bPn+9x34qKihAZGVlnfWRkJIqKipzaR1lZGWbNmoWxY8ciLCzM6ffWbMSo5UGNGzcOnTp1QnR0NPbt24fZs2djz549dUabFvPnz8fcuXPdOxDySd4SihYcOVJTVlBQYPMd7Wi0OGfOnHq/j3/88UcA1RPdahNCKK6vrbKyEmPGjIEsy1i0aFG97WtyORi94aAmTZpk/f/ExETEx8ejV69eyM3NRVJSUp19zZ49GzNmzLD+bDKZEBsbW28fyDd5WyhaMBypwalUSg0LC3N6RPboo4/WO1myY8eO2Lt3L06fPl3ntTNnziAqyvGM8MrKSowaNQpHjx7Ft99+69JoEXAjGL3xoJKSkhAYGIi8vDzFYFSj3k2+wVtD0YLhSA2pMS7XiIiIQERERL3tUlNTUVpaih9++AF9+lQ/4m3Hjh0oLS1Fv3797G5nyY+8vDxs3LgRrVsrPzDcEZeD0RsP6ueff0ZlZSViYmKcPxDyO94eihYMR2owXnznm65du2LIkCGYNGkS3nvvPQDVVzYMGzbMZuJNQkIC5s+fj5EjR6Kqqgr33nsvcnNz8b///Q9ms9l66i48PBxBQUFOvbdm5xi1OqgjR45g+fLluP322xEREYH9+/fjiSeeQM+ePdG/v/2nppN/ayqhaMFwJKqeZPnYY48hLS0NQPUF/m+99ZZNm0OHDqG0tBQAcOLECevNAK6//nqbdhs3bsQtt9zi1Ptqeh2jFgcVFBSEb775BgsXLsSlS5cQGxuLO+64A88//zy/OEhRUwtFC4YjNQgvvt9peHg4li1b5rCNqPFIuI4dO9r87C5Ng1GLg4qNjcXmzZtV6R/5vqYaihYMR9KSt98SrrHwXqnks5p6KFowHIkaFoORfJKvhKIFw5E04cWTbxoTg5F8jq+FogXDkdTGUqoyBiP5FF8NRQuGI5H2GIzkM3w9FC0YjqQallIVMRjJJ/hLKFowHEkNLKUqYzBSk+dvoWjBcCTSBoORmjR/DUULhiN5hKVURQxGarL8PRQtGI7kNgajIgYjNUkMRVsMR3IHzzEqYzBSk8NQVMZwJFIHg5GaFIaiYwxHcglLqYoYjNRkMBSdw3AkZ0lCQPLgaRSebOvNGIzUJDAUXcNwJHIfg5G8HkPRPQxHqhdLqYoYjOTVGIqeYTiSI5yVqozBSF6LoagOhiORaxiM5JUYiupiOJIillIVMRjJ6zAUtcFwpNpYSlXGYCSvwlDUFsORqH4MRvIaDMWGwXAkK5ZSFTEYySswFBsWw5EAllLtYTBSo2MoNg6GI3HEqIzBSI2Kodi4XAnHS5fKcPBQIQ7nFeHnn4+gS8JIrF13CKeLA3DNNdHo1LENdDqpwfpOpBUGIzUahqJ3qC8c9+8/iTWf52DT5oMwm2Vr+EW3Tcb32/Kx5bvjAIDIyDCMvCsZtw+5DqGhwQ18FOQuXy2HeoLBSI2CoehdlMLxypVKvP3ON/jyq5+g10swm6u/QWW5+r86nR5m+Y9v1eJiExa/vxErVmTjiRlDceMNXRr4KMhlQlQvnmzvgxiM1OAYit6pZjhWVhpQJa7DhQuXAcAaivURArh4qQzPz12DYbdfj2mPpUGv12nWZyItMBipQTEUvdvo0aNRUlKBT1b+goDASwBcP2doGUSs/2I3yisq8fSTw3ju0UtxVqoy/ipHDYah6P3Kyiqx5btLCAwKgTuhWJMQQNbXP2P1Zz+q0zlSn1Bh8UEcMVKDYCg2Df9auhmni012Tx0VnsrBwf3/sbv99UmT0Cr8Kpt17y/ZjL59O6NDbGs1u0qkGQYjaY6h2DScPFWCz9bsdKptQrd70ax5mzrrmzePrLNOlmW8/69N+H9z7/G4j6QuSa5ePNneFzEYSVMMxaZj3f92QaeTrLNOHWneIgphYe2d2q8sC2zLzsOZMya0aRPmaTdJTbzAXxHPMZJmGIpNhxACG77Y41QoukOSJGR9/bMm+yZSG0eMpAmGYtNyqvACLl0qd7q9EDJk2WyzTpIkSJLy79pCAD/vP+lRH0l9nJWqjMFIqmMoNj15eaddap/74zt11kmSDrcMfEGxvRACBw+ecqtvpCFe4K+IpVRSFUOxaTp//hIkyfnLM7p2vw/JfR6xXXpPdbhNqemKp90klVlGjJ4sWiopKUF6ejqMRiOMRiPS09Nx4cIFp7d/+OGHIUkSFixY4NL7csRIqmEoNl3Cxd/8mzWPdHryjbvvQTR27FicOHECmZmZAIDJkycjPT0d69atq3fb//73v9ixYwfatm3r8vsyGEkVDMWmrUWLYM2Dq1lIkKb7Jzd48azUAwcOIDMzE9u3b0ffvn0BAO+//z5SU1Nx6NAhdOli/168J0+exKOPPoovv/wSd9xxh8vvrWkp1Z1h8P333//7Sfw/lpSUFJs25eXl+Otf/4qIiAg0b94cw4cPx4kTJzQ8EnKEodj0Xd257vWHaouPj9b8Pcg1apVSTSaTzVJe7vxELnuys7NhNBqtoQgAKSkpMBqN2LZtm93tZFlGeno6nnzySXTv3t2t99Y0GMeOHYvdu3cjMzMTmZmZ2L17N9LT0+vdbsiQISgsLLQuGzZssHl9+vTpWLNmDVauXInvvvsOly5dwrBhw2A2m+3skbTCUPQNcXERCAx0/iHFv106jdLS/DpLRcUlxfZ6vQ4JCa6XtKhpiI2NtQ6AjEYj5s+f7/E+i4qKEBlZ9xe2yMhIFBUV2d3u5ZdfRkBAAB577DG331uzUqonw2CDwYDoaOXfLktLS7FkyRJ8/PHHGDRoEABg2bJliI2Nxddff43BgwerfzCkiKHoOwIC9Lj5pgRs3LTfqSdp2LstXJeud6Ntu9511pvNMgbc0tXjfpLKVJqVWlBQgLCwP27eYDAY7G4yZ84czJ071+Fuf/yx+v66ShPChBB2J4rl5ORg4cKFyM3NdWkyWW2aBWN9w2BHwbhp0yZERkaiZcuWuPnmm/HCCy9Yf3PIyclBZWUl0tLSrO3btm2LxMREbNu2TTEYy8vLbYb2JpNJjUP0awxF3zNieBK+/sbxRfgxbZMR0zbZpf1KkoQu10Tj6qujPOkeaUCt6xjDwsJsgtGRRx99FGPGjHHYpmPHjti7dy9On657GdGZM2cQFaX8d2nr1q0oLi5Ghw4drOvMZjOeeOIJLFiwAMeOHXOqj5oFo7vD4KFDh+K+++5DXFwcjh49iueeew4DBgxATk4ODAYDioqKEBQUhFatWtlsFxUVZXe/8+fPr/c3FHIeQ9E3devaFr17dUJu7jGbBxB7SgiBBx+4SbX9UdMWERGBiIiIetulpqaitLQUP/zwA/r06QMA2LFjB0pLS9GvXz/FbdLT062VRIvBgwcjPT0dDzzwgNN9dPkc45w5c+pMjqm97NxZfSNiV4fBQPXz4O644w4kJibizjvvxBdffIHDhw9j/fr1DvvlaL+zZ89GaWmpdSkoKHDhiKkmhqLvkiQJM2cMRZBBvd+XdToJd9x+HXold1Jtn6QiL37sVNeuXTFkyBBMmjQJ27dvx/bt2zFp0iQMGzbMpuKYkJCANWvWAABat26NxMREmyUwMBDR0dEOq5S1ufwvQMthsJKYmBjExcUhLy8PABAdHY2KigqUlJTYjBqLi4vt/hZhMBgc1rzJOQxF39emTRj+Nms4/m/OZx5fvqHTSbiqUyT+8vAAlXpHavP2W8ItX74cjz32mPXU2fDhw/HWW2/ZtDl06BBKS0tVfV+Xg1HLYbCSc+fOoaCgADExMQCA5ORkBAYGIisrC6NGjQIAFBYWYt++fXjllVdcPRxyEkPRf/TvF4//e3YE/v7i5xACbt1YXJIkdO4ciVdfGoNmzfhLKbknPDwcy5Ytc9imvl/gnD2vWJNml2u4Mwy+dOkSZs6ciezsbBw7dgybNm3CnXfeiYiICIwcORIAYDQaMXHiRDzxxBP45ptvsGvXLvz5z39Gjx496tSWSR0MRf9z800JePvNCYhtHw5XJvfp9RIkCbjv3t544/U/IywsRLtOkudk4fnigzS9842rw2C9Xo+ffvoJH330ES5cuICYmBjceuutWLVqFUJDQ63bvP766wgICMCoUaNw5coVDBw4EBkZGdDrnb8Oi5zDUPRf18RHY/G7D+K/a3Pw2Wc7cbrYBL1Ogixsf0vX63Uwm2VIkoTUlKvxpzGp6MprFpsGL77zTWOShB/ewNBkMsFoNKK0tNTpKcb+iKFIFrIssHvPcezbdwIHDxWisOgCzFUymjUz4Oqro3BNfDRSUzrzQcQqaIjvJ8t79B80FwEBwW7vp6qqDN9//bzPfZfyXqmkiKFINel0EpJ6dkRSz46N3RUizTEYqQ6GIpGf4PMYFTEYyQZDkch/ePvlGo2FDyomK4YiERFHjPQ7hiKRH+KsVEUMRmIoEvkpSQhIHpwn9GRbb8ZSqp9jKBIR2eKI0Y8xFIn8nPz74sn2PojB6KcYikTEUqoyllL9EEORiMg+jhj9DEORiKw4K1URg9GPMBSJyAbvfKOIwegnGIpEVBvvfKOM5xj9AEORiMh5HDH6OIYiEdnFUqoiBqMPYygSkSOSXL14sr0vYinVRzEUiYjcwxGjD2IoEpFTWEpVxGD0MQxFInIar2NUxFKqD2EoEhF5jiNGH8FQJCJX8V6pyhiMPoChSERu4TlGRSylNnEMRSIidXHE2IQxFInIIwKePVPRNweMDMamiqFIRJ7iOUZlDMYmiKFIRKoQ8PAco2o98So8x9jEMBSJiLTFEWMTwlAkIlVxVqoiBmMTwVAkItXJACQPt/dBLKU2AQxFIqKGwxGjl2MoEpFWOCtVGYPRizEUiUhTPMeoiKVUL8VQJCJqHAxGL8RQJKIGYRkxerJoqKSkBOnp6TAajTAajUhPT8eFCxfq3e7AgQMYPnw4jEYjQkNDkZKSgvz8fKffl8HoZRiKRNRgvDwYx44di927dyMzMxOZmZnYvXs30tPTHW5z5MgR3HDDDUhISMCmTZuwZ88ePPfccwgODnb6fXmOUWVXLl3Bkd3H8MuuYyg9awIAGCPCcHXPjuh8fUeEtAixuy1DkYio2oEDB5CZmYnt27ejb9++AID3338fqampOHToELp06aK43TPPPIPbb78dr7zyinXdVVdd5dJ7MxhVIITA3i37sXZRJr777AfIZhmSJEEXUD0gl6tkCCGg0+vQ/64+GD51MK67pTsk6Y8LiBiKRNTgVLqO0WQy2aw2GAwwGAwe7BjIzs6G0Wi0hiIApKSkwGg0Ytu2bYrBKMsy1q9fj6eeegqDBw/Grl270KlTJ8yePRt33XWX0+/NUqqHzp48h2eGzcfMW+fg+zXVoQhUh6W50gxzpRni93KDbJax7fMf8OTAufjb7S/i7MlzABiKRNQ4LJdreLIAQGxsrPU8oNFoxPz58z3uW1FRESIjI+usj4yMRFFRkeI2xcXFuHTpEl566SUMGTIEX331FUaOHIm7774bmzdvdvq9NQ1Gd06cSpKkuLz66qvWNrfcckud18eMGaPloSj68cvdeLDrdORm7QEAmKvqvw2EpU3uN3vxYNfpeHPOuwxFImocKp1jLCgoQGlpqXWZPXu23becM2eO3e95y7Jz504AsKmq/dFlobgeqB4xAsCIESPw+OOP4/rrr8esWbMwbNgwvPvuu07/sWhaSh07dixOnDiBzMxMAMDkyZORnp6OdevW2d2msLDQ5ucvvvgCEydOxD333GOzftKkSZg3b57155AQ++futLBjQy6ev+tlyLKAkF0/AS1XybjyWxk+n5eFIakMRSJqusLCwhAWFuZU20cffbTegUzHjh2xd+9enD59us5rZ86cQVRUlOJ2ERERCAgIQLdu3WzWd+3aFd99951T/QM0DEZ3T5xGR0fb/Pz555/j1ltvrXPytFmzZnXaNpQTeYWYe+8/IJuFtUzqFgFIkFCVG4jTR8+g/TVt1eskEVF9ZAFIHnyHuTEoiIiIQERERL3tUlNTUVpaih9++AF9+vQBAOzYsQOlpaXo16+f4jZBQUHo3bs3Dh06ZLP+8OHDiIuLc7qPmpVS6ztx6ozTp09j/fr1mDhxYp3Xli9fjoiICHTv3h0zZ87ExYsX7e6nvLwcJpPJZnGXLMt45f63YK4yOwzFfJGHr8V/kC2+qmePEmSzjJcnvAmz2ex2v4iIXObFl2t07doVQ4YMwaRJk7B9+3Zs374dkyZNwrBhw2wGVgkJCVizZo315yeffBKrVq3C+++/j19++QVvvfUW1q1bh6lTpzr93poFozsnTmv78MMPERoairvvvttm/bhx47BixQps2rQJzz33HFavXl2nTU3z58+3OTEcGxvr2sHU8O0n3+FA9mHI9ZxPPIVjAIDfYEKpOOewrblKxsEdv+Db5c4P9YmIfN3y5cvRo0cPpKWlIS0tDddeey0+/vhjmzaHDh1CaWmp9eeRI0fi3XffxSuvvIIePXrgX//6F1avXo0bbrjB6fd1uZQ6Z84czJ0712GbH3/8EYDrJ05rW7p0KcaNG1fnwsxJkyZZ/z8xMRHx8fHo1asXcnNzkZSUVGc/s2fPxowZM6w/m0wmt8NxzRsboNNJkB2UEEziPC6hFBGIxlkU4RSOwYjWDvcr6SSseWMDbht/s1v9IiJynaejPm0v8A8PD8eyZcsc90Ch/w8++CAefPBBt9/X5WDU8sRpTVu3bsWhQ4ewatWqetsmJSUhMDAQeXl5isGoxjU1AHDs5wIc3nmk3nYnfx8tXo0eqEQlilCAa8R10Ev2/7iFLJCX+yuO7stHp8QOHveViKhevIm4IpeDUcsTpzUtWbIEycnJuO666+pt+/PPP6OyshIxMTH1H4AH9m87VG8bszDjNAoQhlZoIRnRVnTEAeTgNE6gLTo63liqfg8GIxFR49HsHKO7J06B6lLnp59+ioceeqjOfo8cOYJ58+Zh586dOHbsGDZs2ID77rsPPXv2RP/+/bU6HABAXu6v0AfoHbYpxglUoRJt0QkAEIVY6BFgPefoiD5A79SIlIhIFbLwfPFBml7g786JUwBYuXIlhBD405/+VGefQUFB+OabbzB48GB06dIFjz32GNLS0vD1119Dr3ccWp46c+IczFWOZ46exFHooEc0qs9hBkgBiER7XMBZXBb2Z84CgLnSjLOnSlTrLxGRQ0L2fPFBml7g7+6J08mTJ2Py5MmK7WNjY126tY+aLLd7s+eyuIQLOItItIOAQKWoAABEoR0KcQyncAxXo4fDfZgrq1TrLxERuY43EXdB85bNHc5IPYWjAIBinEQxTiq8fhydRaLdWbk6nYTmLZur12EiIkc4+UYRg9EFnRI7YMun2VCaoiyEQCGOIwTN0RXJdV4/i0LkIw9nUYg2sHOHG0nCVdc6f3cGIiKPyAIeXXLho+cYGYwuuKZXZ7vl1LMoRDnKcDV6IFyqe2ODFsKIEziCUzhmNxhls4xrkl17bhgRkds4YlTEx0654NqbuqK5sZnia6dwDBJ0di/JCJIMaIN21QEqyhTbNDc2w3W3dFeru0RE5AaOGF0QFByEOybfhv+8tq7OyPE6qf5rM3tIfQH0VXxNp9fhjkmDEBQcpEZXiYjqJ+DhiFG1nngVjhhdNHLa7TCEqB9eQcGBGDntdtX3S0RklxffRLwxMRhdFNE2HI+84f49+Ox5ZOGDiGjn+H6qRESkPQajG9Im3IIBY29w+mbojkiShFvH9MfgB25VoWdERC6QZc8XH8RzjG6QJAlPfvAIzJVmbP4026N93XhPXzz14aOqhCwRkUs4K1URR4xuCggMwOxPpuHhf4xHQFAA9AHO/1HqA3QICArA5FfH428rpiMgkL+fEBF5CwajB/R6Pe6dcSfe3/tP3HB3X+j0Okg6CTp93T/Wmq/1H9kH7+3+B+574k7N7+9KRGQXJ98o4lBFBe2vaYtnV87A+aISbP53Ng79+AsO7MjDxXMXIQCEtQ5F177xuKZXZ9wyuh/Co1s1dpeJiHjnGzsYjCoKj26FkY/xkgsioqaMwUhE5KeEkCE8eHSUJ9t6MwYjEZG/Eh4+bJjnGImIyKcID88x+mgwclYqERFRDRwxEhH5K1kGJA/OE/IcIxER+RSWUhWxlEpERFQDR4xERH5KyDKEB6VUXq5BRES+haVURSylEhER1cARIxGRv5IFIHHEWBuDkYjIXwkBwJPLNXwzGFlKJSIiqoEjRiIiPyVkAeFBKVX46IiRwUhE5K+EDM9Kqbxcg4iIfAhHjMp4jpGIiKgGvxwxWn7LMZlMjdwTIiJblu+lhhiNVYlyj8qhVahUsTfewy+D8eLFiwCA2NjYRu4JEZGyixcvwmg0arLvoKAgREdH47uiDR7vKzo6GkFBQSr0yntIwleLxA7IsoxDhw6hW7duKCgoQFhYWGN3yS0mkwmxsbE8hkbGY/AOvnQM+/fvR5cuXaDTaXe2q6ysDBUVFR7vJygoCMHBwSr0yHv45YhRp9OhXbt2AICwsLAm+4/IgsfgHXgM3sEXjqFdu3aahiIABAcH+1ygqYWTb4iIiGpgMBIREdXgt8FoMBjw/PPPw2AwNHZX3MZj8A48Bu/AYyC1+OXkGyIiInv8dsRIRESkhMFIRERUA4ORiIioBgYjERFRDT4djCUlJUhPT4fRaITRaER6ejouXLjgcBtJkhSXV1991drmlltuqfP6mDFjvOYY7r///jr9S0lJsWlTXl6Ov/71r4iIiEDz5s0xfPhwnDhxotH7X1lZiaeffho9evRA8+bN0bZtW4wfPx6nTp2yaaf1Z7Bo0SJ06tQJwcHBSE5OxtatWx2237x5M5KTkxEcHIyrrroK7777bp02q1evRrdu3WAwGNCtWzesWbNGtf7W5kr/P/vsM9x2221o06YNwsLCkJqaii+//NKmTUZGhuK/i7KyMq84hk2bNin27+DBgzbtGvIzcPUYlP7dSpKE7t27W9s0xufgl4QPGzJkiEhMTBTbtm0T27ZtE4mJiWLYsGEOtyksLLRZli5dKiRJEkeOHLG2ufnmm8WkSZNs2l24cMFrjmHChAliyJAhNv07d+6cTZspU6aIdu3aiaysLJGbmytuvfVWcd1114mqqqpG7f+FCxfEoEGDxKpVq8TBgwdFdna26Nu3r0hOTrZpp+VnsHLlShEYGCjef/99sX//fjFt2jTRvHlzcfz4ccX2v/76q2jWrJmYNm2a2L9/v3j//fdFYGCg+M9//mNts23bNqHX68WLL74oDhw4IF588UUREBAgtm/frkqfPen/tGnTxMsvvyx++OEHcfjwYTF79mwRGBgocnNzrW0++OADERYWVuffh1ZcPYaNGzcKAOLQoUM2/av597khPwN3juHChQs2fS8oKBDh4eHi+eeft7Zp6M/BX/lsMO7fv18AsPlLn52dLQCIgwcPOr2fESNGiAEDBtisu/nmm8W0adPU6qpd7h7DhAkTxIgRI+y+fuHCBREYGChWrlxpXXfy5Emh0+lEZmamKn0XQr3P4IcffhAAbL5QtPwM+vTpI6ZMmWKzLiEhQcyaNUux/VNPPSUSEhJs1j388MMiJSXF+vOoUaPEkCFDbNoMHjxYjBkzRqVe/8HV/ivp1q2bmDt3rvXnDz74QBiNRrW6WC9Xj8ESjCUlJXb32ZCfgRCefw5r1qwRkiSJY8eOWdc19Ofgr3y2lJqdnQ2j0Yi+ffta16WkpMBoNGLbtm1O7eP06dNYv349Jk6cWOe15cuXIyIiAt27d8fMmTOtT+xQkyfHsGnTJkRGRuKaa67BpEmTUFxcbH0tJycHlZWVSEtLs65r27YtEhMTnf6z0br/NZWWlkKSJLRs2dJmvRafQUVFBXJycmz+bAAgLS3Nbp+zs7PrtB88eDB27tyJyspKh23U/PMG3Ot/bbIs4+LFiwgPD7dZf+nSJcTFxaF9+/YYNmwYdu3apVq/a/LkGHr27ImYmBgMHDgQGzdutHmtoT4DQJ3PYcmSJRg0aBDi4uJs1jfU5+DPfPYm4kVFRYiMjKyzPjIyEkVFRU7t48MPP0RoaCjuvvtum/Xjxo1Dp06dEB0djX379mH27NnYs2cPsrKyVOm7hbvHMHToUNx3332Ii4vD0aNH8dxzz2HAgAHIycmBwWBAUVERgoKC0KpVK5vtoqKinP6z0bL/NZWVlWHWrFkYO3aszY2htfoMzp49C7PZjKioKJv1jv5sioqKFNtXVVXh7NmziImJsdtGzT9vd/tf2z//+U/89ttvGDVqlHVdQkICMjIy0KNHD5hMJixcuBD9+/fHnj17EB8f3+jHEBMTg8WLFyM5ORnl5eX4+OOPMXDgQGzatAk33XQTAPufk9qfgbvHUFNhYSG++OILfPLJJzbrG/Jz8GdNLhjnzJmDuXPnOmzz448/AqieSFObEEJxvZKlS5di3Lhxde5AP2nSJOv/JyYmIj4+Hr169UJubi6SkpLq3a/WxzB69Gib/vXq1QtxcXFYv359nZB3Zb8WDfUZVFZWYsyYMZBlGYsWLbJ5zdPPoD61+1dfn5Xa117v6j494e57rVixAnPmzMHnn39u80tNSkqKzQSu/v37IykpCW+++SbeeOMN9TpegyvH0KVLF3Tp0sX6c2pqKgoKCvCPf/zDGoyu7lMN7r5fRkYGWrZsibvuustmfWN8Dv6oyQXjo48+Wu/sw44dO2Lv3r04ffp0ndfOnDlT57c4JVu3bsWhQ4ewatWqetsmJSUhMDAQeXl5Tn0pN9QxWMTExCAuLg55eXkAqh8sWlFRgZKSEptRY3FxMfr16+cV/a+srMSoUaNw9OhRfPvtt/U+RsjVz8CeiIgI6PX6Or/VFxcX2+1zdHS0YvuAgAC0bt3aYRtXPkdnuNN/i1WrVmHixIn49NNPMWjQIIdtdTodevfubf07pSZPjqGmlJQULFu2zPpzQ30GgGfHIITA0qVLkZ6eXu8DgLX8HPxa45za1J5l4seOHTus67Zv3+70xI8JEybUmQlpz08//SQAiM2bN7vdXyWeHoPF2bNnhcFgEB9++KEQ4o/JN6tWrbK2OXXqlGaTb1ztf0VFhbjrrrtE9+7dRXFxsVPvpeZn0KdPH/GXv/zFZl3Xrl0dTr7p2rWrzbopU6bUmXwzdOhQmzZDhgzRbPKNK/0XQohPPvlEBAcHizVr1jj1HrIsi169eokHHnjAk67a5c4x1HbPPfeIW2+91fpzQ34GQrh/DJaJRD/99FO976H15+CvfDYYhaj+S3/ttdeK7OxskZ2dLXr06FHnUoEuXbqIzz77zGZdaWmpaNasmXjnnXfq7POXX34Rc+fOFT/++KM4evSoWL9+vUhISBA9e/ZU/VIHd47h4sWL4oknnhDbtm0TR48eFRs3bhSpqamiXbt2wmQyWbeZMmWKaN++vfj6669Fbm6uGDBggGaXa7jS/8rKSjF8+HDRvn17sXv3bpsp6eXl5UII7T8DyzT7JUuWiP3794vp06eL5s2bW2cHzpo1S6Snp1vbWy7XePzxx8X+/fvFkiVL6lyu8f333wu9Xi9eeuklceDAAfHSSy9pfrmGs/3/5JNPREBAgHj77bftXv4yZ84ckZmZKY4cOSJ27dolHnjgAREQEGDzS09jHsPrr78u1qxZIw4fPiz27dsnZs2aJQCI1atXW9s05GfgzjFY/PnPfxZ9+/ZV3GdDfw7+yqeD8dy5c2LcuHEiNDRUhIaGinHjxtWZzg1AfPDBBzbr3nvvPRESEqJ4XVx+fr646aabRHh4uAgKChKdO3cWjz32WJ3rBBvrGC5fvizS0tJEmzZtRGBgoOjQoYOYMGGCyM/Pt9nmypUr4tFHHxXh4eEiJCREDBs2rE6bxuj/0aNHBQDFZePGjUKIhvkM3n77bREXFyeCgoJEUlKSzUh0woQJ4uabb7Zpv2nTJtGzZ08RFBQkOnbsqPhL1aeffiq6dOkiAgMDRUJCgs2Xttpc6f/NN9+s+Oc9YcIEa5vp06eLDh06iKCgINGmTRuRlpYmtm3bpln/XT2Gl19+WXTu3FkEBweLVq1aiRtuuEGsX7++zj4b8jNw9RiEqK7mhISEiMWLFyvurzE+B3/Ex04RERHV4LPXMRIREbmDwUhERFQDg5GIiKgGBiMREVENDEYiIqIaGIxEREQ1MBiJiIhqYDASERHVwGAkIiKqgcFIRERUA4ORiIioBgYjERFRDf8f22Up2UMbl+QAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -361,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -394,18 +394,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Internally set radius is: 4.1036569057366385\n",
-      "Thresholds chosen are: [-4.10365691 -3.67169302 -3.23972914 -2.80776525 -2.37580137 -1.94383748\n",
-      " -1.5118736  -1.07990971 -0.64794583 -0.21598194  0.21598194  0.64794583\n",
-      "  1.07990971  1.5118736   1.94383748  2.37580137  2.80776525  3.23972914\n",
-      "  3.67169302  4.10365691]\n"
+      "Internally set radius is: 1.2\n",
+      "Thresholds chosen are: [-1.2        -1.07368421 -0.94736842 -0.82105263 -0.69473684 -0.56842105\n",
+      " -0.44210526 -0.31578947 -0.18947368 -0.06315789  0.06315789  0.18947368\n",
+      "  0.31578947  0.44210526  0.56842105  0.69473684  0.82105263  0.94736842\n",
+      "  1.07368421  1.2       ]\n"
      ]
     }
    ],
@@ -433,7 +433,7 @@
     {
      "data": {
       "text/plain": [
-       "array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])"
+       "array([0, 0, 0, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0])"
       ]
      },
      "execution_count": 12,
@@ -459,7 +459,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -494,7 +494,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiYAAAHRCAYAAABesXJ6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAABFmUlEQVR4nO3deXxU1f3/8fckmIQlCXsWCCTsi4RYwBiKX6FGA1IEq4JLZSmitcSfGCwlbU1wa1xQcKHgBgFbDfBVwTXgNxgplUVAVLAg0CARkgAWslkCZO7vD5up14SQYSbcuZPX8/E4D7lnzj3zmcvofDzn3HMdhmEYAgAA8AEBVgcAAABQg8QEAAD4DBITAADgM0hMAACAzyAxAQAAPoPEBAAA+AwSEwAA4DNITAAAgM8gMQEAAD6DxATwIWfOnNGsWbMUExOjgIAAjRs3zuqQmqzs7Gw5HA5t3brV6lCAJoXEBH6l5sfkbGXTpk2m9idPntS8efOUmJio8PBwhYSEqFevXkpNTdVXX32lAwcO1NvfD8uBAwc8jn/x4sV64okndMMNN2jp0qW69957z9p2+PDhuvjiiz1+T2/5+OOPNWfOHJ04ccKt8/72t79p/Pjx6tSpk4KCghQeHq7ExEQ9+OCDKikpaZxgAfisZlYHADSGBx98UHFxcbXqe/To4frzsWPHNHLkSG3btk0///nPdcstt6hVq1bas2ePcnJy9MILL+j48eN65ZVXTH08+eST+uabbzRv3jxTfYcOHTyOe926derUqVOtvu3g448/1gMPPKDJkyerdevWDTonIyNDDz30kLp166bJkyerW7duOnnypLZt26Ynn3xSS5cu1f79+xs3cAA+hcQEfmnUqFEaPHhwvW0mT56sTz/9VP/7v/+r66+/3vTaQw89pD/84Q9q2bKlfvnLX5pey8nJ0fHjx2vVe8ORI0ca/KNud8uXL9dDDz2k8ePH65VXXlFQUJDp9Xnz5p0zQTMMQydPnlTz5s0bM1QAFxBTOWiSNm/erHfffVdTp06tlZRIUnBwsObOneu196usrNTMmTMVExOj4OBg9e7dW3PnzlXNw71rpow+/PBD7dq1yzU9lJ+f79b7OBwOpaamatWqVbr44osVHBys/v37Kzc319Ruzpw5cjgc2r17t8aPH6+wsDC1a9dO99xzj06ePOlqVxNXdnZ2ne81Z84cV3+//e1vJUlxcXENmt7KyMhQ+/bt9fLLL9dKSiQpPDzc1X+N2NhY/fznP9eaNWs0ePBgNW/eXM8//7wkacmSJfrZz36mjh07Kjg4WP369dPChQtr9VvTx9q1a5WQkKCQkBD169dPb7zxRp1xVlVVKS0tTR06dFDLli113XXX6ejRo2f9XAA8w4gJ/FJpaamOHTtmqnM4HGrXrp0k6a233pIk3XbbbY0ei2EYuvbaa/Xhhx9q6tSpSkhI0Jo1a/Tb3/5Whw4d0rx589ShQwe98soreuSRR1RRUaGsrCxJUt++fd1+vw0bNuiNN97Qb37zG4WGhuqZZ57R9ddfr4MHD7o+f43x48crNjZWWVlZ2rRpk5555hkdP35cy5Ytc+s9f/GLX+irr77Sa6+9pnnz5ql9+/aSzj699dVXX+mrr77S7bffrlatWrn1Xnv27NHNN9+sO++8U9OmTVPv3r0lSQsXLlT//v117bXXqlmzZnr77bf1m9/8Rk6nU9OnTzf1sXfvXk2YMEG//vWvNWnSJC1ZskQ33nijcnNzddVVV5na3n333WrTpo0yMzN14MABzZ8/X6mpqVq+fLlbcQNoIAPwI0uWLDEk1VmCg4Nd7a677jpDknH8+HG332P06NFG165dG9x+1apVhiTj4YcfNtXfcMMNhsPhMPbt2+equ+KKK4z+/fs3qN+62koygoKCTH1+9tlnhiTj2WefddVlZmYakoxrr73WdP5vfvMbQ5Lx2WefGYZhGAUFBYYkY8mSJbXeX5KRmZnpOn7iiScMSUZBQcE5Y1+9erUhyZg/f76p3ul0GkePHjWV06dPu17v2rWrIcnIzc2t1ed3331Xqy4lJcXo1q2bqa6mj9dff91VV1paakRFRRmXXHKJq67mu5ScnGw4nU5X/b333msEBgYaJ06cOOfnBOA+pnLglxYsWKAPPvjAVN5//33X62VlZZKk0NDQRo/lvffeU2BgoP7f//t/pvqZM2fKMAxTXN6QnJys7t27u47j4+MVFhamf/7zn7Xa/ngk4e6773bF3Jhqrv+PR0tKS0vVoUMHU9mxY4epTVxcnFJSUmr1+cN1JjUjZldccYX++c9/qrS01NQ2Ojpa1113nes4LCxMEydO1Keffqri4mJT2zvuuEMOh8N1fPnll6u6ulpff/21ex8aQIMwlQO/dOmll9a7+DUsLEySVF5e3uiLTb/++mtFR0fXSoJqpmm8/QPXpUuXWnVt2rTR8ePHa9X37NnTdNy9e3cFBAR45dbn+tRci4qKClN9q1at9MEHH0iS1q5dqyeeeKLWuXXdbSVJf//735WZmamNGzfqu+++M71WWlqq8PBw13GPHj1MyYYk9erVS9L362oiIyNd9T++nm3atJGkOq8nAM+RmKBJ6tOnjyTpiy++0OWXX25xNN4VGBhYZ73xn4W29fnxj/WPj2tUV1e7H9gP1Fz/nTt3muqbNWum5ORkSdI333xT57l13YGzf/9+XXnllerTp4+eeuopxcTEKCgoSO+9957mzZsnp9N53rF6cj0BuI+pHDRJY8aMkST95S9/afT36tq1qw4fPqzy8nJT/e7du12vW2Xv3r2m43379snpdCo2NlbSf0cHfrxpWl2jPGdLYurSu3dv9ezZU6tWrVJlZaV7Qdfh7bffVlVVld566y3deeeduuaaa5ScnHzW24j37dtXK7H46quvJMn12QFYg8QETVJSUpJGjhypl156SatWrar1+qlTp3Tfffd55b2uueYaVVdX67nnnjPVz5s3Tw6HQ6NGjfLK+5yPBQsWmI6fffZZSXLFFBYWpvbt22v9+vWmdn/+859r9dWyZUtJtZOYs5kzZ46OHTumadOm6fTp07Ved2dEomZU44fnlJaWasmSJXW2P3z4sN58803XcVlZmZYtW6aEhATTNA6AC4+pHPil999/3zUi8UNDhw5Vt27dJEnLli3T1VdfrV/84hcaM2aMrrzySrVs2VJ79+5VTk6OioqKvLKXyZgxYzRixAj94Q9/0IEDBzRw4ECtXbtWq1ev1owZM0wLVS+0goICXXvttRo5cqQ2btyov/zlL7rllls0cOBAV5vbb79djz76qG6//XYNHjxY69evd40u/NCgQYMkSX/4wx9000036aKLLtKYMWNcCcuP3XLLLdq5c6eysrK0ZcsW3XTTTYqLi1NlZaV27typ1157TaGhoa5Rm/pcffXVCgoK0pgxY3TnnXeqoqJCL774ojp27KiioqJa7Xv16qWpU6fqk08+UUREhBYvXqySkpKzJjIALiArbwkCvK2+24VVx22v3333nTF37lxjyJAhRqtWrYygoCCjZ8+ext1332265faH3L1d2DAMo7y83Lj33nuN6Oho46KLLjJ69uxpPPHEE6bbUA3DO7cLT58+vVbbrl27GpMmTXId19wu/OWXXxo33HCDERoaarRp08ZITU01/v3vf5vO/e6774ypU6ca4eHhRmhoqDF+/HjjyJEjtW4XNgzDeOihh4xOnToZAQEBDb51OD8/37jhhhuMqKgo46KLLjLCwsKMwYMHG5mZmUZRUVGtzzF69Og6+3nrrbeM+Ph4IyQkxIiNjTUee+wxY/HixbXiqOljzZo1Rnx8vBEcHGz06dPHWLlypam/mu/SJ598Yqr/8MMPDUnGhx9+eM7PBsB9DsNgBRfQ1MyZM0cPPPCAjh496toMramIjY3VxRdfrHfeecfqUADUgTUmAADAZ5CYAAAAn0FiAgAAfAaJCdAEzZkzR4ZhNLn1JdL3O7uyvgRNXVZWloYMGaLQ0FB17NhR48aN0549e8553sqVK9WnTx+FhIRowIABtR5fYRiGMjIyFBUVpebNmys5ObnWfknnQmICAEAT89FHH2n69OnatGmTPvjgA50+fVpXX311vRsefvzxx7r55ps1depUffrppxo3bpzGjRtn2sH58ccf1zPPPKNFixZp8+bNatmypVJSUnTy5MkGx8ZdOQAANHFHjx5Vx44d9dFHH+l//ud/6mwzYcIEVVZWmkYcL7vsMiUkJGjRokUyDEPR0dGaOXOma4PK0tJSRUREKDs7WzfddFODYmlSG6w5nU4dPnxYoaGhbm2fDQBoegzDUHl5uaKjoxUQ0DgTDCdPntSpU6e80pdhGLV+24KDgxUcHHzOc2uewN22bduzttm4caPS0tJMdSkpKa7dswsKClRcXOx63pUkhYeHKzExURs3biQxqcvhw4cVExNjdRgAABspLCxU586dvd7vyZMnFde1lYqPePZQzBqtWrWq9cTuzMxMzZkzp97znE6nZsyYoZ/+9Ke6+OKLz9quuLhYERERprqIiAgVFxe7Xq+pO1ubhmhSiUnNo9aH6Ro100UWRwMA8GVndFob9J7rt8PbTp06peIj1SrY1lVhoZ6NyJSVOxU36GsVFhYqLCzMVd+Q0ZLp06dr586d2rBhg0cxeEuTSkxqhria6SI1c5CYAADq8Z8VmI099R8WGuBxYuLqKyzMlJicS2pqqt555x2tX7/+nKNCkZGRKikpMdWVlJS4HnxZ88+SkhJFRUWZ2iQkJDQ4Ju7KAQDAQtWG0yvFHYZhKDU1VW+++abWrVunuLi4c56TlJSkvLw8U90HH3ygpKQkSVJcXJwiIyNNbcrKyrR582ZXm4ZoUiMmAAD4GqcMOeXZDbLunj99+nS9+uqrWr16tUJDQ11rQMLDw9W8eXNJ0sSJE9WpUydlZWVJku655x5dccUVevLJJzV69Gjl5ORo69ateuGFFyR9P7I0Y8YMPfzww+rZs6fi4uJ0//33Kzo6WuPGjWtwbCQmAAA0MQsXLpQkDR8+3FS/ZMkSTZ48WZJ08OBB091IQ4cO1auvvqo//vGP+v3vf6+ePXtq1apVpgWzs2bNUmVlpe644w6dOHFCw4YNU25urkJCQhocW5Pax6SsrEzh4eEarrGsMQEA1OuMcVr5Wq3S0lK31m00VM1v0uE9nb2y+DW69zeNFuuFxIgJAAAWqjYMVXs4RuDp+b6ExAQAAAtZscbEl3FXDgAA8Bm2TUweffRR1wpgAADsyilD1R4WfxoxseVUzieffKLnn39e8fHxVocCAIBHmMoxs92ISUVFhW699Va9+OKLatOmTb1tq6qqVFZWZioAAMB32S4xmT59ukaPHm16euHZZGVlKTw83FV4gB8AwNfU3JXjafEXtkpMcnJytH37dtcudOeSnp6u0tJSVyksLGzkCAEAcI/TS8Vf2GaNSWFhoe655x598MEHDd5BLjg4uEFPVgQAAL7BNonJtm3bdOTIEf3kJz9x1VVXV2v9+vV67rnnVFVVpcDAQAsjBADAfTV31njah7+wTWJy5ZVX6osvvjDVTZkyRX369NHvfvc7khIAgC1VG98XT/vwF7ZJTEJDQ00PCpKkli1bql27drXqAQCAPdkmMQEAwB95Y/Eqi199RH5+vtUhAADgEaccqpbD4z78ha0TEwAA7M5pfF887cNf2GofEwAA4N8YMQEAwELVXpjK8fR8X0JiAgCAhUhMzJjKAQAAPoMREwAALOQ0HHIaHt6V4+H5voTEBAAACzGVY8ZUDgAA8BmMmAAAYKFqBajaw3GCai/F4gtITAAAsJDhhTUmhh+tMWEqBwAA+AxGTAAAsBCLX81ITAAAsFC1EaBqw8M1Jn70rBwSEwAALOSUQ04PV1Y45T+ZCWtMAACAz2DEBAAAC7HGxIzEBAAAC3lnjQlTOQAAAF7HiAkAABb6fvGrhw/xYyoHAAB4g9MLW9JzVw4AAEAjIDEBAMBCNYtfPS3uWL9+vcaMGaPo6Gg5HA6tWrWq3vaTJ0+Ww+GoVfr37+9qM2fOnFqv9+nTx+3rQWICAICFnArwSnFHZWWlBg4cqAULFjSo/dNPP62ioiJXKSwsVNu2bXXjjTea2vXv39/UbsOGDW7FJbHGBACAJmfUqFEaNWpUg9uHh4crPDzcdbxq1SodP35cU6ZMMbVr1qyZIiMjPYqNERMAACxUbTi8UiSprKzMVKqqqhol5pdfflnJycnq2rWrqX7v3r2Kjo5Wt27ddOutt+rgwYNu901iAgCAhar/c1eOp0WSYmJiXKMb4eHhysrK8nq8hw8f1vvvv6/bb7/dVJ+YmKjs7Gzl5uZq4cKFKigo0OWXX67y8nK3+mcqBwAACzmNADk93PnV+Z+dXwsLCxUWFuaqDw4O9qjfuixdulStW7fWuHHjTPU/nBqKj49XYmKiunbtqhUrVmjq1KkN7p/EBAAAPxEWFmZKTLzNMAwtXrxYt912m4KCgupt27p1a/Xq1Uv79u1z6z2YygEAwELenMppbB999JH27dvXoBGQiooK7d+/X1FRUW69ByMmAABYyCm5Fq960oc7KioqTCMZBQUF2rFjh9q2basuXbooPT1dhw4d0rJly0znvfzyy0pMTNTFF19cq8/77rtPY8aMUdeuXXX48GFlZmYqMDBQN998s1uxkZgAANDEbN26VSNGjHAdp6WlSZImTZqk7OxsFRUV1bqjprS0VK+//rqefvrpOvv85ptvdPPNN+vbb79Vhw4dNGzYMG3atEkdOnRwKzbbJCYLFy7UwoULdeDAAUnfb+KSkZHh1n3YAAD4mvPZIK2uPtwxfPhwGcbZn6+TnZ1dqy48PFzffffdWc/JyclxK4azsU1i0rlzZz366KPq2bOnDMPQ0qVLNXbsWH366aemLXEBALCT89lSvq4+/IVtEpMxY8aYjh955BEtXLhQmzZtIjEBAMBP2CYx+aHq6mqtXLlSlZWVSkpKOmu7qqoq0653ZWVlFyK8RrF//mVWh3Deus/YZHUIAOCznHLIKU8Xv3p2vi+xVWLyxRdfKCkpSSdPnlSrVq305ptvql+/fmdtn5WVpQceeOACRggAgHuYyjGz1Sfp3bu3duzYoc2bN+uuu+7SpEmT9OWXX561fXp6ukpLS12lsLDwAkYLAADcZasRk6CgIPXo0UOSNGjQIH3yySd6+umn9fzzz9fZPjg4uFG24wUAwFu8sUHahdpg7UKwVWLyY06ns9GenAgAwIXgNBxyerrBmofn+xLbJCbp6ekaNWqUunTpovLycr366qvKz8/XmjVrrA4NAIDz5vTCiImn+6D4EtskJkeOHNHEiRNVVFSk8PBwxcfHa82aNbrqqqusDg0AAHiJbRKTl19+2eoQAADwOqcRIKeHd9V4er4vsU1iAgCAP6qWQ9Ue7kPi6fm+xH9SLAAAYHuMmAAAYCGmcsxITAAAsFC1PJ+KqfZOKD7Bf1IsAABge4yYAABgIaZyzEhMAACwEA/xM/OfTwIAAGyPERMAACxkyCGnh4tfDT/ax4TEBAAACzGVY0ZiAgCAhXi6sBmJiRftn3+Z1SH4pMa8Lt1nbGq0vgEAFx6JCQAAFqpWgKo9vBfF0/N9CYkJAAAWYirHzH9SLAAAYHuMmAAAYCGnAuT0cJzA0/N9CYkJAAAWqjYcqvZwKsbT832J/6RYAADA9hgxAQDAQix+NSMxAQDAQoYXni5s+NHOr/7zSQAAgO0xYgIAgIWq5VC1hw/h8/R8X0JiAgCAhZyG52tEnIaXgvEBJCYAAFjI6YU1Jp6e70v855MAAADbIzEBAMBCTjm8Utyxfv16jRkzRtHR0XI4HFq1alW97fPz8+VwOGqV4uJiU7sFCxYoNjZWISEhSkxM1JYtW9y9HCQmAABYqWbnV0+LOyorKzVw4EAtWLDArfP27NmjoqIiV+nYsaPrteXLlystLU2ZmZnavn27Bg4cqJSUFB05csSt92CNCQAATcyoUaM0atQot8/r2LGjWrduXedrTz31lKZNm6YpU6ZIkhYtWqR3331Xixcv1uzZsxv8HoyYAABgoZrFr54WSSorKzOVqqoqr8aakJCgqKgoXXXVVfr73//uqj916pS2bdum5ORkV11AQICSk5O1ceNGt96DxAQAAAs55XBtS3/e5T9rTGJiYhQeHu4qWVlZXokxKipKixYt0uuvv67XX39dMTExGj58uLZv3y5JOnbsmKqrqxUREWE6LyIiotY6lHNhKgcAAD9RWFiosLAw13FwcLBX+u3du7d69+7tOh46dKj279+vefPm6ZVXXvHKe9QgMQEAwELGedxVU1cfkhQWFmZKTBrTpZdeqg0bNkiS2rdvr8DAQJWUlJjalJSUKDIy0q1+bTOVk5WVpSFDhig0NFQdO3bUuHHjtGfPHqvDAgDAIx5P43jh6cTnY8eOHYqKipIkBQUFadCgQcrLy/vv53I6lZeXp6SkJLf6tc2IyUcffaTp06dryJAhOnPmjH7/+9/r6quv1pdffqmWLVtaHR4AALZRUVGhffv2uY4LCgq0Y8cOtW3bVl26dFF6eroOHTqkZcuWSZLmz5+vuLg49e/fXydPntRLL72kdevWae3ata4+0tLSNGnSJA0ePFiXXnqp5s+fr8rKStddOg1lm8QkNzfXdJydna2OHTtq27Zt+p//+R+LogIAwDNWbEm/detWjRgxwnWclpYmSZo0aZKys7NVVFSkgwcPul4/deqUZs6cqUOHDqlFixaKj4/X//3f/5n6mDBhgo4ePaqMjAwVFxcrISFBubm5tRbEnottEpMfKy0tlSS1bdv2rG2qqqpMt0qVlZU1elwAALjDG1Mx7p4/fPhwGcbZn/yXnZ1tOp41a5ZmzZp1zn5TU1OVmprqViw/Zps1Jj/kdDo1Y8YM/fSnP9XFF1981nZZWVmm26ZiYmIuYJQAAJybFVvS+zJbJibTp0/Xzp07lZOTU2+79PR0lZaWukphYeEFihAAAJwP203lpKam6p133tH69evVuXPnetsGBwd77R5uAAAagxVTOb7MNomJYRi6++679eabbyo/P19xcXFWhwQAgMdITMxsk5hMnz5dr776qlavXq3Q0FDXFrfh4eFq3ry5xdEBAABvsE1isnDhQknfryT+oSVLlmjy5MkXPiAAALyAERMz2yQm9d3WBACAXZGYmNnyrhwAAOCfbDNiAgCAPzIkLzzEz3+QmAAAYCGmcsyYygEAAD6DERMAACzEiIlZk0xMCh4booCQEKvDgBfsn39Zo/bffcamRu0faKjG/q43psb896gxr4vz5Enpd6sbrX/X+5CYmDTJxAQAAF9BYmLGGhMAAOAzGDEBAMBChuGQ4eGIh6fn+xISEwAALOSUw+N9TDw935cwlQMAAHwGIyYAAFiIxa9mJCYAAFiINSZmTOUAAACfwYgJAAAWYirHjMQEAAALMZVjxlQOAADwGYyYAABgIcMLUzn+NGJCYgIAgIUMSYbheR/+gsQEAAALOeWQg51fXVhjAgAAfAYjJgAAWIi7csxITAAAsJDTcMjBPiYuJCZAPfbPv6zR+u4+Y1Oj9Y2za8y/U9SNaw53kJgAAGAhw/DCXTl+dFsOiQkAABZijYkZd+UAAACfwYgJAAAWYsTEjBETAAAsVPN0YU+LO9avX68xY8YoOjpaDodDq1atqrf9G2+8oauuukodOnRQWFiYkpKStGbNGlObOXPmyOFwmEqfPn3cvRwkJgAAWKlm8aunxR2VlZUaOHCgFixY0KD269ev11VXXaX33ntP27Zt04gRIzRmzBh9+umnpnb9+/dXUVGRq2zYsMG9wMRUDgAATc6oUaM0atSoBrefP3++6fhPf/qTVq9erbfffluXXHKJq75Zs2aKjIz0KDZGTAAAsND3Ix4OD8v3fZWVlZlKVVVVo8TsdDpVXl6utm3bmur37t2r6OhodevWTbfeeqsOHjzodt+2SkzcnRMDAMDXeZ6U/HfxbExMjMLDw10lKyurUWKeO3euKioqNH78eFddYmKisrOzlZubq4ULF6qgoECXX365ysvL3erbVlM5NXNiv/rVr/SLX/zC6nAAAPAphYWFCgsLcx0HBwd7/T1effVVPfDAA1q9erU6duzoqv/h1FB8fLwSExPVtWtXrVixQlOnTm1w/7ZKTNydEwMAwNcZ/yme9iFJYWFhpsTE23JycnT77bdr5cqVSk5Orrdt69at1atXL+3bt8+t97DVVI67qqqqas23AQDgS7w5ldOYXnvtNU2ZMkWvvfaaRo8efc72FRUV2r9/v6Kiotx6H79OTLKyskxzbTExMVaHBACA5SoqKrRjxw7t2LFDklRQUKAdO3a4Fqump6dr4sSJrvavvvqqJk6cqCeffFKJiYkqLi5WcXGxSktLXW3uu+8+ffTRRzpw4IA+/vhjXXfddQoMDNTNN9/sVmx+nZikp6ertLTUVQoLC60OCQAAM8NLxQ1bt27VJZdc4rrVNy0tTZdccokyMjIkSUVFRaY7al544QWdOXNG06dPV1RUlKvcc889rjbffPONbr75ZvXu3Vvjx49Xu3bttGnTJnXo0MGt2Gy1xsRdwcHBjbLwBwAAr/HGVIyb5w8fPlxGPbuyZWdnm47z8/PP2WdOTo5bMZyNX4+YAAAAe7HViElFRYVpdW/NnFjbtm3VpUsXCyMDAOD8nM+W8nX14S9slZhs3bpVI0aMcB2npaVJkiZNmlRr2AkAADvg6cJmtkpMzjUnBtjJ/vmXNWr/3WdsatT+AXiJ4XB7jUidffgJ1pgAAACfYasREwAA/A1rTMxITAAAsJI396T3A0zlAAAAn8GICQAAFuKuHDMSEwAArOZHUzGeYioHAAD4DEZMAACwEFM5ZiQmAABYibtyTJjKAQAAPoMREwAALOX4T/G0D/9AYgIAgJWYyjEhMQEAwEokJiasMQEAAD6DERMAAKxkOL4vnvbhJ0hMAACwEE8XNmMqBwAA+AxGTAA/tebwZ1aH4KO4LnXpseJOq0Noulj8akJiAgCAlVhjYsJUDgAA8BmMmAAAYCGH8X3xtA9/QWICAICVWGNiwlQOAADwGYyYAABgJRa/mpCYAABgJaZyTEhMAACwEomJCWtMAACAz2DEBAAAKzFiYkJiAgCAlVj8asJUDgAA8BmMmAAAYCF2fjUjMQEAwEqsMTGx3VTOggULFBsbq5CQECUmJmrLli1WhwQAgK2sX79eY8aMUXR0tBwOh1atWnXOc/Lz8/WTn/xEwcHB6tGjh7Kzs2u18cZvtNuJSXV1tZ5//nmlpaXpqaeeUl5enr799lu33/h8LF++XGlpacrMzNT27ds1cOBApaSk6MiRIxfk/QEA8AeVlZUaOHCgFixY0KD2BQUFGj16tEaMGKEdO3ZoxowZuv3227VmzRpXG2/9RrudmNx9993KyMhQSUmJZs+erWuuuUYdO3ZUly5ddO2117rbnVueeuopTZs2TVOmTFG/fv20aNEitWjRQosXL27U9wUAoLE49N91Judd3HzPUaNG6eGHH9Z1113XoPaLFi1SXFycnnzySfXt21epqam64YYbNG/ePFcbb/1Gu52YvPHGG1q2bJn++te/Kjg4WFu3btXTTz+tkydPqmvXru5212CnTp3Stm3blJyc7KoLCAhQcnKyNm7cWOc5VVVVKisrMxUAAPzVj3/zqqqqvNLvxo0bTb+/kpSSkuL6/T2f3+izcXvxa0VFhfr16ydJuuiii9SsWTOlpqbq9OnTOnz4sLvdNdixY8dUXV2tiIgIU31ERIR2795d5zlZWVl64IEHGi0mwBP7xj9vdQiwkR4r7rQ6hPPWmN91O18XFy/uYxITE2OqzszM1Jw5czzrW1JxcXGdv79lZWX697//rePHj7v9G302bo+YdOvWzZWAdOrUSYcOHZIkjRkzRn/5y1/c7a5Rpaenq7S01FUKCwutDgkAADPDS0VSYWGh6XcvPT39gn4Ub3A7MfnFL36h999/X5J0xRVXuOaOvvzyS/373//2bnQ/0L59ewUGBqqkpMRUX1JSosjIyDrPCQ4OVlhYmKkAAOBTvJiY/Pg3Lzg42CshRkZG1vn7GxYWpubNm5/Xb/TZuJ2YzJkzxzUsNGvWLOXl5alDhw668cYbdcstt7jbXYMFBQVp0KBBysvLc9U5nU7l5eUpKSmp0d4XAICmLikpyfT7K0kffPCB6/fXm7/RHm2w1qVLF+3atUtvv/222rVrpzFjxnjS3TmlpaVp0qRJGjx4sC699FLNnz9flZWVmjJlSqO+LwAAjcWKnV8rKiq0b98+13FBQYF27Nihtm3bqkuXLkpPT9ehQ4e0bNkySdKvf/1rPffcc5o1a5Z+9atfad26dVqxYoXeffddVx/e+o32eOfX9u3bX7DEYMKECTp69KgyMjJUXFyshIQE5ebm1lpsAwCAbViw8+vWrVs1YsQI13FaWpokadKkScrOzlZRUZEOHjzoej0uLk7vvvuu7r33Xj399NPq3LmzXnrpJaWkpLjaeOs32nZb0qempio1NdXqMAAAsK3hw4fLMM6ezdS1q+vw4cP16aef1tuvN36jbZeYAADgV3hWjgmJCQAAFuLpwma2e4gfAADwX4yYAABgJS/u/OoPSEwAALASa0xMmMoBAAA+gxETAAAsxOJXMxITAACsxFSOCYkJAABW8sKIiT8lJqwxAQAAPoMREwAArMRUjgmJCSRJ+8Y/b3UIPqnHijtt2bfE36kVGvvvFH6KxMSEqRwAAOAzGDEBAMBC3C5sxogJAADwGSQmAADAZzCVAwCAlVj8akJiAgCAhVhjYsZUDgAA8BmMmAAAYDU/GvHwFIkJAABWYo2JCYkJAAAWYo2JGWtMAACAz2DEBAAAKzGVY0JiAgCAhZjKMWMqBwAA+AxGTAAAsBJTOSYkJgAAWInExISpHAAA4DMYMQEAwEIsfjUjMQH8VI8Vd1odAiCJ7+I5MZVjYpupnEceeURDhw5VixYt1Lp1a6vDAQAAjcA2icmpU6d044036q677rI6FAAAvMfwUvETtpnKeeCBByRJ2dnZ1gYCAIAXscbEzDaJyfmoqqpSVVWV67isrMzCaAAAqANrTExsM5VzPrKyshQeHu4qMTExVocEAIBPWLBggWJjYxUSEqLExERt2bLlrG2HDx8uh8NRq4wePdrVZvLkybVeHzlypNtxWZqYzJ49u84P+sOye/fu8+4/PT1dpaWlrlJYWOjF6AEA8FzNVI6nxR3Lly9XWlqaMjMztX37dg0cOFApKSk6cuRIne3feOMNFRUVucrOnTsVGBioG2+80dRu5MiRpnavvfaa29fD0qmcmTNnavLkyfW26dat23n3HxwcrODg4PM+HwCARmfBVM5TTz2ladOmacqUKZKkRYsW6d1339XixYs1e/bsWu3btm1rOs7JyVGLFi1qJSbBwcGKjIx0L5gfsTQx6dChgzp06GBlCAAA+I0fr6Ws63/QT506pW3btik9Pd1VFxAQoOTkZG3cuLFB7/Pyyy/rpptuUsuWLU31+fn56tixo9q0aaOf/exnevjhh9WuXTu3PoNt1pgcPHhQO3bs0MGDB1VdXa0dO3Zox44dqqiosDo0AADOnxdvF46JiTGtrczKyqr1dseOHVN1dbUiIiJM9RERESouLj5nuFu2bNHOnTt1++23m+pHjhypZcuWKS8vT4899pg++ugjjRo1StXV1Q2+FJKN7srJyMjQ0qVLXceXXHKJJOnDDz/U8OHDLYoKAADPOP5TPO1DkgoLCxUWFuaqb4zlDC+//LIGDBigSy+91FR/0003uf48YMAAxcfHq3v37srPz9eVV17Z4P5tM2KSnZ0twzBqFZISAAC+FxYWZip1JSbt27dXYGCgSkpKTPUlJSXnXB9SWVmpnJwcTZ069ZyxdOvWTe3bt9e+ffvc+gy2SUwAAPBLF3jn16CgIA0aNEh5eXmuOqfTqby8PCUlJdV77sqVK1VVVaVf/vKX53yfb775Rt9++62ioqIaHpxITAAAsJQVtwunpaXpxRdf1NKlS/WPf/xDd911lyorK1136UycONG0OLbGyy+/rHHjxtVa0FpRUaHf/va32rRpkw4cOKC8vDyNHTtWPXr0UEpKilux2WaNCQAA8I4JEybo6NGjysjIUHFxsRISEpSbm+taEHvw4EEFBJjHLvbs2aMNGzZo7dq1tfoLDAzU559/rqVLl+rEiROKjo7W1VdfrYceesjtdS4kJgAAWMmiLelTU1OVmppa52v5+fm16nr37i3DqPuNmjdvrjVr1rgfRB1ITAAAsJofPevGUyQmAABYiKcLm5GYQJLUY8WdVofQ5HSfsalR+98//7JG7R/+pbG/j42F77n/ITEBAMBKFq0x8VUkJgAAWIipHDP2MQEAAD6DERMAAKzEVI4JiQkAABZiKseMqRwAAOAzGDEBAMBKTOWYkJgAAGAlEhMTpnIAAIDPYMQEAAALsfjVjMQEAAArMZVjQmICAICFHIYhh+FZZuHp+b6ENSYAAMBnMGICAICVmMoxITEBAMBCLH41YyoHAAD4DEZMAACwElM5JiQmAABYiKkcMxIT2Fr3GZusDsFnNea12T//skbrG3Xju46mgsQEAAArMZVjQmICAICFmMox464cAADgMxgxAQDASkzlmJCYAABgMX+aivEUiQkAAFYyjO+Lp334CVusMTlw4ICmTp2quLg4NW/eXN27d1dmZqZOnTpldWgAAMCLbDFisnv3bjmdTj3//PPq0aOHdu7cqWnTpqmyslJz5861OjwAAM4bd+WY2SIxGTlypEaOHOk67tatm/bs2aOFCxeSmAAA7I3Frya2SEzqUlpaqrZt29bbpqqqSlVVVa7jsrKyxg4LAAB4wBZrTH5s3759evbZZ3XnnXfW2y4rK0vh4eGuEhMTc4EiBACgYRxO7xR/YWliMnv2bDkcjnrL7t27TeccOnRII0eO1I033qhp06bV2396erpKS0tdpbCwsDE/DgAA7jO8VPyEpVM5M2fO1OTJk+tt061bN9efDx8+rBEjRmjo0KF64YUXztl/cHCwgoODPQ0TAABcIJaOmHTo0EF9+vSptwQFBUn6fqRk+PDhGjRokJYsWaKAAFvOQgEAYFJzV46nxV0LFixQbGysQkJClJiYqC1btpy1bXZ2dq0ZjZCQEFMbwzCUkZGhqKgoNW/eXMnJydq7d6/bcdni170mKenSpYvmzp2ro0ePqri4WMXFxVaHBgCAZ2o2WPO0uGH58uVKS0tTZmamtm/froEDByolJUVHjhw56zlhYWEqKipyla+//tr0+uOPP65nnnlGixYt0ubNm9WyZUulpKTo5MmTbsVmi8Tkgw8+0L59+5SXl6fOnTsrKirKVQAAgHueeuopTZs2TVOmTFG/fv20aNEitWjRQosXLz7rOQ6HQ5GRka4SERHhes0wDM2fP19//OMfNXbsWMXHx2vZsmU6fPiwVq1a5VZstkhMJk+eLMMw6iwAANiZN6dyysrKTOWHW2bUOHXqlLZt26bk5GRXXUBAgJKTk7Vx48azxllRUaGuXbsqJiZGY8eO1a5du1yvFRQUqLi42NRneHi4EhMT6+2zLrbdx8QTcb/7RM0cF3m93/3zL/N6nwCAs+s+Y1Oj9X3GOK2vz93Mc17cYO3H22JkZmZqzpw5prpjx46purraNOIhSREREbXuhK3Ru3dvLV68WPHx8SotLdXcuXM1dOhQ7dq1S507d3YtrairT3eXXTTJxAQAAF/hzS3pCwsLFRYW5qr31p2pSUlJSkpKch0PHTpUffv21fPPP6+HHnrIK+9RwxZTOQAA4NzCwsJMpa7EpH379goMDFRJSYmpvqSkRJGRkQ16n4suukiXXHKJ9u3bJ0mu8zzpswaJCQAAVrrAd+UEBQVp0KBBysvLc9U5nU7l5eWZRkXqU11drS+++MJ1E0pcXJwiIyNNfZaVlWnz5s0N7rMGUzkAAFjIiqcLp6WladKkSRo8eLAuvfRSzZ8/X5WVlZoyZYokaeLEierUqZOysrIkSQ8++KAuu+wy9ejRQydOnNATTzyhr7/+Wrfffvv37+9waMaMGXr44YfVs2dPxcXF6f7771d0dLTGjRvnVmwkJgAANDETJkzQ0aNHlZGRoeLiYiUkJCg3N9e1ePXgwYOmjUyPHz+uadOmqbi4WG3atNGgQYP08ccfq1+/fq42s2bNUmVlpe644w6dOHFCw4YNU25ubq2N2M7FYTShe27LysoUHh6u4RrLXTl+ojFX5OPs+K5feHzXL7wzxmnla7VKS0tNC0q9peY3KWnkg2p2kXs/3j925vRJbczNaLRYLyRGTAAAsJAVUzm+jMWvAADAZzBiAgCAlZzG98XTPvwEiQkAAFby4s6v/oCpHAAA4DMYMQEAwEIOeWHxq1ci8Q0kJgAAWMnNnVvP2oefIDEBAMBC3C5sxhoTAADgMxgxAQDAStyVY0JiAgCAhRyGIYeHa0Q8Pd+XkJig0fGMD//TmH+ndn4OD991wHMkJgAAWMn5n+JpH36CxAQAAAsxlWPGXTkAAMBnMGICAICVuCvHhMQEAAArsfOrCVM5AADAZzBiAgCAhdiS3ozEBAAAKzGVY0JiAgCAhRzO74unffgL1pgAAACfwYgJAABWYirHhMQEAAArsY+JCVM5AADAZ9gmMbn22mvVpUsXhYSEKCoqSrfddpsOHz5sdVgAAHik5lk5nhZ/YZvEZMSIEVqxYoX27Nmj119/Xfv379cNN9xgdVgAAHimZo2Jp8VP2GaNyb333uv6c9euXTV79myNGzdOp0+f1kUXXWRhZAAAwFtsk5j80L/+9S/99a9/1dChQ+tNSqqqqlRVVeU6LisruxDhAQDQcIYkT/ch8Z8BE/tM5UjS7373O7Vs2VLt2rXTwYMHtXr16nrbZ2VlKTw83FViYmIuUKQAADQMa0zMHIZh3aeZPXu2HnvssXrb/OMf/1CfPn0kSceOHdO//vUvff3113rggQcUHh6ud955Rw6Ho85z6xoxiYmJ0XCNVTOHvaZ/9s+/rFH77z5jU6P2DwB2c8Y4rXytVmlpqcLCwrzef1lZmcLDw/WzS2arWWCIR32dqT6pdZ8+2mixXkiWTuXMnDlTkydPrrdNt27dXH9u37692rdvr169eqlv376KiYnRpk2blJSUVOe5wcHBCg4O9mbIAAB4lyEvbLDmlUh8gqWJSYcOHdShQ4fzOtfp/H5C7ocjIgAA2A47v5rYYvHr5s2b9cknn2jYsGFq06aN9u/fr/vvv1/du3c/62gJAAC24JRU94oE9/rwE7ZY/NqiRQu98cYbuvLKK9W7d29NnTpV8fHx+uijj5iqAQDAj9giMRkwYIDWrVunb7/9VidPnlRBQYEWLlyoTp06WR0aAAAesequnAULFig2NlYhISFKTEzUli1bztr2xRdf1OWXX642bdqoTZs2Sk5OrtV+8uTJcjgcpjJy5Ei347JFYgIAgN+yYOfX5cuXKy0tTZmZmdq+fbsGDhyolJQUHTlypM72+fn5uvnmm/Xhhx9q48aNiomJ0dVXX61Dhw6Z2o0cOVJFRUWu8tprr7l9OUhMAABoYp566ilNmzZNU6ZMUb9+/bRo0SK1aNFCixcvrrP9X//6V/3mN79RQkKC+vTpo5deeklOp1N5eXmmdsHBwYqMjHSVNm3auB0biQkAAFby4ohJWVmZqdR15+qpU6e0bds2JScnu+oCAgKUnJysjRs3Nijk7777TqdPn1bbtm1N9fn5+erYsaN69+6tu+66S99++63bl4PEBAAAK3kxMYmJiTHteJ6VlVXr7Y4dO6bq6mpFRESY6iMiIlRcXNygkH/3u98pOjralNyMHDlSy5YtU15enh577DF99NFHGjVqlKqrq926HLa4XRgAAJxbYWGhaefXxrhz9dFHH1VOTo7y8/MVEvLfHWtvuukm158HDBig+Ph4de/eXfn5+bryyisb3D8jJgAAWMnppSIpLCzMVOpKTNq3b6/AwECVlJSY6ktKShQZGVlvqHPnztWjjz6qtWvXKj4+vt623bp1U/v27bVv37562/0YiQkAABa60LcLBwUFadCgQaaFqzULWevbtPTxxx/XQw89pNzcXA0ePPic7/PNN9/o22+/VVRUVINjk0hMAABoctLS0vTiiy9q6dKl+sc//qG77rpLlZWVmjJliiRp4sSJSk9Pd7V/7LHHdP/992vx4sWKjY1VcXGxiouLVVFRIUmqqKjQb3/7W23atEkHDhxQXl6exo4dqx49eiglJcWt2FhjAgCAlSx4Vs6ECRN09OhRZWRkqLi4WAkJCcrNzXUtiD148KACAv47drFw4UKdOnVKN9xwg6mfzMxMzZkzR4GBgfr888+1dOlSnThxQtHR0br66qv10EMPub3OhcQEAAArOQ3J4WFi4nT//NTUVKWmptb5Wn5+vun4wIED9fbVvHlzrVmzxu0Y6kJiAgCAlXi6sAlrTAAAgM9gxMQmus/YZHUIAIBG4YURE/nPiAmJCQAAVmIqx4SpHAAA4DMYMQEAwEpOQx5PxZzHXTm+isQEAAArGc7vi6d9+AmmcgAAgM9gxAQAACux+NWExAQAACuxxsSEqRwAAOAzGDEBAMBKTOWYkJgAAGAlQ15ITLwSiU8gMQEAwEqMmJiwxgQAAPgMRkwAALCS0ynJww3SnP6zwRqJCQAAVmIqx4SpHAAA4DMYMQEAwEqMmJiQmAAAYCV2fjVhKgcAAPgMRkwAALCQYThlGJ7dVePp+b7EdiMmVVVVSkhIkMPh0I4dO6wOBwAAzxjG91MxnhQ/WmNiu8Rk1qxZio6OtjoMAADQCGyVmLz//vtau3at5s6da3UoAAB4R81dOZ4WP2GbNSYlJSWaNm2aVq1apRYtWjTonKqqKlVVVbmOy8rKGis8AADOj9MpOTxcI8IakwvLMAxNnjxZv/71rzV48OAGn5eVlaXw8HBXiYmJacQoAQA4D4yYmFiamMyePVsOh6Pesnv3bj377LMqLy9Xenq6W/2np6ertLTUVQoLCxvpkwAAAG+wdCpn5syZmjx5cr1tunXrpnXr1mnjxo0KDg42vTZ48GDdeuutWrp0aZ3nBgcH1zoHAABfYjidMjycyvGn24UtTUw6dOigDh06nLPdM888o4cffth1fPjwYaWkpGj58uVKTExszBABAGhchhd2fvWjqRxbLH7t0qWL6bhVq1aSpO7du6tz585WhAQAABqBLRITAAD8ltOQHIyY1LBlYhIbGyvDj/4SAABNmGFI8vR2Yf/5TbTF7cIAAKBpsOWICQAA/sJwGjI8nMrxp1kERkwAALCS4fROcdOCBQsUGxurkJAQJSYmasuWLfW2X7lypfr06aOQkBANGDBA7733nvljGIYyMjIUFRWl5s2bKzk5WXv37nU7LhITAAAsZDgNrxR3LF++XGlpacrMzNT27ds1cOBApaSk6MiRI3W2//jjj3XzzTdr6tSp+vTTTzVu3DiNGzdOO3fudLV5/PHH9cwzz2jRokXavHmzWrZsqZSUFJ08edKt2ByGP43/nENZWZnCw8M1XGPVzHGR1eEAAHzYGeO08rVapaWlCgsL83r/rt8kx3Ue/yadMU4r33izwbEmJiZqyJAheu655yRJTqdTMTExuvvuuzV79uxa7SdMmKDKykq98847rrrLLrtMCQkJWrRokQzDUHR0tGbOnKn77rtPklRaWqqIiAhlZ2frpptuavBnaVJrTGpysDM67fFeNgAA/3ZGpyU1/vqNM0aVxw/hq4n1xw+rrWsH9FOnTmnbtm2mx7wEBAQoOTlZGzdurLP/jRs3Ki0tzVSXkpKiVatWSZIKCgpUXFys5ORk1+vh4eFKTEzUxo0bSUzOpry8XJK0Qe+doyUAAN8rLy9XeHi41/sNCgpSZGSkNhR75zepVatWtR5Wm5mZqTlz5pjqjh07purqakVERJjqIyIitHv37jr7Li4urrN9cXGx6/WaurO1aagmlZhER0ersLBQoaGhcjgc9bYtKytTTEyMCgsLG2UIrzER+4Vn17glYreKXWO3a9yS+7EbhqHy8nJFR0c3SjwhISEqKCjQqVOnvNKfYRi1ftvs+Ly4JpWYBAQEuL2FfVhYmO3+5atB7BeeXeOWiN0qdo3drnFL7sXeGCMlPxQSEqKQkJBGfY8fa9++vQIDA1VSUmKqLykpUWRkZJ3nREZG1tu+5p8lJSWKiooytUlISHArPu7KAQCgCQkKCtKgQYOUl5fnqnM6ncrLy1NSUlKd5yQlJZnaS9IHH3zgah8XF6fIyEhTm7KyMm3evPmsfZ5NkxoxAQAAUlpamiZNmqTBgwfr0ksv1fz581VZWakpU6ZIkiZOnKhOnTopKytLknTPPffoiiuu0JNPPqnRo0crJydHW7du1QsvvCBJcjgcmjFjhh5++GH17NlTcXFxuv/++xUdHa1x48a5FRuJyVkEBwcrMzPTlvNzxH7h2TVuiditYtfY7Rq3ZO/YvW3ChAk6evSoMjIyVFxcrISEBOXm5roWrx48eFABAf+dVBk6dKheffVV/fGPf9Tvf/979ezZU6tWrdLFF1/sajNr1ixVVlbqjjvu0IkTJzRs2DDl5ua6PVXVpPYxAQAAvo01JgAAwGeQmAAAAJ9BYgIAAHwGiQkAAPAZJCYAAMBnkJicxYIFCxQbG6uQkBAlJiZqy5YtVod0Trt371a7du3UvXt3JSQkqFWrVho2bJjVYTWInWI/ceKEBg8erISEBF188cV68cUXrQ6pyYiNjVV8fLwSEhI0YsQIq8NpEDt/X/bs2aOEhARXad68ueuhbb4qKytLQ4YMUWhoqDp27Khx48Zpz549VocFdxioJScnxwgKCjIWL15s7Nq1y5g2bZrRunVro6SkxOrQzmnUqFHG559/bhiGYfTq1cuoqKiwOKKGs0vsZ86cMSorKw3DMIyKigojNjbWOHbsmMVRNQ1du3Y1ysvLrQ7DLf7yfSkvLzfatWvns/9e1khJSTGWLFli7Ny509ixY4dxzTXXGF26dPH5uPFfjJjU4amnntK0adM0ZcoU9evXT4sWLVKLFi20ePFiq0M7pz179qh379767rvvVF1drZYtW1odUoPZJfbAwEC1aNFCklRVVSXDMGQYhq1GfSSpb9++cjgcdZbnnnvO6vAazNevu798X9566y1deeWVatmypU/Hnpubq8mTJ6t///4aOHCgsrOzdfDgQW3btk2S/3zv/Zq1eZHvqaqqMgIDA40333zTVD9x4kTj2muvtSaoBiorKzP69u1rGIZhbNmyxfj5z39ucUQNZ7fYjx8/bsTHxxvNmzc3nnvuOVe9XUZ9DMMwdu3aZUgy8vLyjKKiIuPAgQNGQECAsXLlSuPkyZNWh1en2NhY4yc/+YkxePBg4y9/+Yur3tevuz98X8aOHWu8/vrrrmO7xL53715DkvHFF18YhmHP731Tw4jJjxw7dkzV1dWubXlrREREqLi42KKoGubLL79Uv379JEn/+Mc/1KtXL4sjaji7xd66dWt99tlnKigo0Kuvvup66qZdRn2k75/62axZM/30pz9VZGSkjh07JqfTqcsvv9xnt+zesGGDtm3bprfeekt/+tOf9Pnnn0vy/etu9+9LWVmZPv74Y11zzTWuOjvE7nQ6NWPGDP30pz91bZ1ux+99U0Ni4kd27dql/v37S5JatmyptWvX6ttvv7U4qoaxa+wREREaOHCg/va3v6m8vFzBwcEKCgrSrl271LdvX6vDq9cXX3yhXr16uf5j/Nlnn6ljx461knJf0qlTJ0lSVFSUrrnmGm3fvt1W192u35fVq1fr6quvdj3zxC6xT58+XTt37lROTo6rzo7f+6aGh/j9SPv27RUYGOj6P5oaJSUlioyMtCiqhvnVr37l+vP111+v66+/3sJo3GOn2EtKStSiRQuFhoaqtLRU69ev11133WW7UZ/PP/9cAwYMcB1/9tlnpmNfU1lZKafTqdDQUFVUVGjdunUaP368z193f/i+rFixQnfccYfr2A6xp6am6p133tH69evVuXNnV73dvvdNESMmPxIUFKRBgwYpLy/PVed0OpWXl6ekpCQLI4Ov+Prrr3X55Zdr4MCBuvzyy3X33XdrwIABthv1+fzzzxUfH+86/uyzz0zHvqakpETDhg3TwIEDddlll2nixIkaMmSIz193u39fSktLtWXLFqWkpLjqfDl2wzCUmpqqN998U+vWrVNcXJzpdbt975skqxe5+KKcnBwjODjYyM7ONr788kvjjjvuMFq3bm0UFxdbHVq9JNVbfJmdY7ej6upqo0WLFsbbb7/tquvcubPx9NNPWxgV4Lm77rrLCA8PN/Lz842ioiJX+e677/je2wT/xT+LZ5991ujSpYsRFBRkXHrppcamTZusDqnBKisrjS5duhgzZ860OpQGO3jwoHHFFVcYffv2NQYMGGCsWLHC6pD82ldffWVIMr7++mtX3ahRo4zWrVsbGzZssDAywDNn+5+bJUuW8L23CYdhGMaFG5/BhfCHP/xB+/btU0xMjObOnWt1OA1SVFSkkpISJSQkqLi4WIMGDdJXX33lkyv9HQ7HeZ3Hv2qeset1t2vckr1jh32xxsTP7N27V7t379aoUaOsDsUtUVFRSkhIkCRFRkaqffv2+te//mVtUGdh/GeDrB+WyspKdenSRTNnzqzzdf5D7Tm7XvcfxnLw4EFdccUV6tu3rwYMGKAVK1b4bNySfa857I3ExM/cd999ysrKsjoMj2zbtk3V1dWKiYmxOpQGe+SRR3TZZZdZHUaTY7fr3qxZM82fP19ffvml1q5dqxkzZqiystLqsNxit2sO+yEx8SOrV69Wr169fPLWvYb617/+pYkTJ+qFF16wOpQGs+sold3Z8brbaWSwLna85rAfEhM/smnTJuXk5Cg2Nlb33XefXnzxRT344INWh9VgVVVVGjdunGbPnq2hQ4daHU6D+cMolR3Z/brbcWTQ7tcc9kBi4keysrJUWFioAwcOaO7cuZo2bZoyMjKsDqtBDMPQ5MmT9bOf/Uy33Xab1eE0mD+MUtmR3a+7HUcG7X7NYR/s/Aqf8Pe//13Lly9XfHy8Vq1aJUl65ZVXfH5HxppRqpUrV6qiokKnT59WWFiYbRJCu7LzdbfryKCdrznshduFAS/Jzs7Wzp07bXOLtr+w03U3DEO33HKLevfurTlz5lgdznmz0zWH/TCVAwAXSM3I4KpVq5SQkKCEhAR98cUXVocF+BRGTAAAgM9gxAQAAPgMEhMAAOAzSEwAAIDPIDEBAAA+g8QEAAD4DBITAADgM0hMAACAzyAxAQAAPoPEBAAA+AwSEwAA4DNITAAAgM8gMQEAAD6DxARoou666y4NGzasztc6d+6sRx999AJHBABSM6sDAHDh7dq1Sy+88IL+9re/1fl63759tWPHjgsbFACIEROgSXriiSc0ZMgQDR06tM7X27Ztq+Li4gscFQCQmABNzpkzZ/TGG2/o+uuvd9Xdeeedevnll13H5eXlat68uRXhAWjiSEyAJmb//v0qLy/XgAEDJElOp1MrV65UaGioq83nn3+ufv36WRUigCaMxARoYk6cOCFJatWqlSRpzZo1On78uEJCQiRJmzZt0qFDh3TddddZFSKAJozFr0AT07VrVzkcDr322mtq2bKl7rvvPo0ePVqrV69WTEyMfv3rXys5Ofmsd+wAQGNyGIZhWB0EgAsrKytLjz76qJo3b64//elPGjRokMaOHatjx45pzJgx+vOf/6w2bdpYHSaAJojEBAAA+AzWmAAAAJ9BYgIAAHwGiQkAAPAZJCYAAMBnkJgAAACfQWICAAB8BokJAADwGSQmAADAZ5CYAAAAn0FiAgAAfAaJCQAA8Bn/H3GTOuA3BaPnAAAAAElFTkSuQmCC",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -585,7 +585,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -615,7 +615,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/doctrees/nbsphinx/notebooks/Tutorial-ExactECT.ipynb b/docs/doctrees/nbsphinx/notebooks/Tutorial-ExactECT.ipynb
new file mode 100644
index 0000000..19a4e29
--- /dev/null
+++ b/docs/doctrees/nbsphinx/notebooks/Tutorial-ExactECT.ipynb
@@ -0,0 +1,255 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial for exact ECT computation \n",
+    "\n",
+    "*Warning: This is a work in progress. Proceed at your own risk.*\n",
+    "\n",
+    "The goal of this section is so show available tools for exact computation of the ECT. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ect import ECT, EmbeddedGraph, EmbeddedCW,create_example_graph\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle\n",
+    "import numpy as np\n",
+    "import networkx as nx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use the `EmbeddedGraph` class to find the angle normal to any pair of vertices in the graph, whether or not there is a connecting edge.  Setting `angle_labels_circle=True` in the plotting command will try to draw these on the circle. Note that this doesn't tend to do well for large inputs, but can be helpful for small examples. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Super simple graph \n",
+    "G = EmbeddedGraph()\n",
+    "G.add_node('A', 0,0)\n",
+    "G.add_node('B', 1,0)\n",
+    "G.add_node('C', 2,1)\n",
+    "G.add_node('D', 1,2)\n",
+    "G.add_edge('A', 'B')\n",
+    "G.add_edge('B', 'D')\n",
+    "G.add_edge('D', 'C')\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "G = create_example_graph(centered=True)\n",
+    "G.rescale_to_unit_disk()\n",
+    "\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can extract the information directly for use in computation. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[       nan 5.49778714 5.60844436 5.8195377  5.03413953 5.49778714]\n",
+      " [2.35619449        nan 5.6951827  0.         3.92699082 5.49778714]\n",
+      " [2.46685171 2.55359005        nan 2.03444394 2.89661399 2.67794504]\n",
+      " [2.67794504 3.14159265 5.17603659        nan 3.46334321 3.92699082]\n",
+      " [1.89254688 0.78539816 6.03820664 0.32175055        nan 0.        ]\n",
+      " [2.35619449 2.35619449 5.8195377  0.78539816 3.14159265        nan]]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.colorbar.Colorbar at 0x16b198290>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 480x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# If return type is `matrix`, the function returns the matrix of angles and the labels of the angles in the order of the rows/columns in the matrix \n",
+    "M,Labels = G.get_all_normals_matrix()\n",
+    "print(M)\n",
+    "\n",
+    "plt.matshow(M)\n",
+    "plt.xticks(range(len(Labels)), Labels)\n",
+    "plt.yticks(range(len(Labels)), Labels)\n",
+    "plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This can also be returned as a dictionary, with keys given by angles (note the negative angle is not repeated), and value a list of the pairs of vertices associated. Note that in the case of more than one pair of vertices having the same normal angle, it is given as a list of all pairs. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.497787143782138: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.608444364956034: [('A', 'C')],\n",
+       " 5.81953769817878: [('A', 'D'), ('F', 'C')],\n",
+       " 5.034139534781332: [('A', 'E')],\n",
+       " 5.695182703632018: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.9269908169872414: [('B', 'E'), ('D', 'F')],\n",
+       " 2.0344439357957027: [('C', 'D')],\n",
+       " 2.896613990462929: [('C', 'E')],\n",
+       " 3.4633432079864352: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "angles_dict = G.get_normals_dict()\n",
+    "angles_dict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also get it to return the dictionary with rounded values, as well as to have it include all the opposite angles. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.5: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.61: [('A', 'C')],\n",
+       " 5.82: [('A', 'D'), ('F', 'C')],\n",
+       " 5.03: [('A', 'E')],\n",
+       " 5.7: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.93: [('B', 'E'), ('D', 'F')],\n",
+       " 2.03: [('C', 'D')],\n",
+       " 2.9: [('C', 'E')],\n",
+       " 3.46: [('D', 'E')],\n",
+       " 2.36: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 2.47: [('A', 'C')],\n",
+       " 2.68: [('A', 'D'), ('F', 'C')],\n",
+       " 1.89: [('A', 'E')],\n",
+       " 2.56: [('B', 'C')],\n",
+       " 3.14: [('B', 'D'), ('E', 'F')],\n",
+       " 0.79: [('B', 'E'), ('D', 'F')],\n",
+       " 5.17: [('C', 'D')],\n",
+       " 6.04: [('C', 'E')],\n",
+       " 0.32: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "G.get_normals_dict(opposites = True, \n",
+    "                   num_rounding_digits=2)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_15_1.png b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_15_1.png
index 1f54486..3e4ff08 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_15_1.png and b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_15_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_18_1.png b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_18_1.png
index 85aaeb7..2b613df 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_18_1.png and b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_18_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_5_1.png b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_5_1.png
index eec8e67..cdacfec 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_5_1.png and b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_5_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_7_1.png b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_7_1.png
index 8e5ec08..2fd9083 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_7_1.png and b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_7_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_9_0.png b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_9_0.png
index 0f5d44e..3a87f9e 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_9_0.png and b/docs/doctrees/nbsphinx/notebooks_Matisse_Matisse_ECT_9_0.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_11_0.png b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_11_0.png
new file mode 100644
index 0000000..47fbc22
Binary files /dev/null and b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_11_0.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_12_1.png b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_12_1.png
new file mode 100644
index 0000000..1fcaa92
Binary files /dev/null and b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_12_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_1_1.png b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_1_1.png
new file mode 100644
index 0000000..979093f
Binary files /dev/null and b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_1_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_2_1.png b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_2_1.png
new file mode 100644
index 0000000..26a9b12
Binary files /dev/null and b/docs/doctrees/nbsphinx/notebooks_Playing_with_Spirals_2_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png
index 43c4e96..944fa24 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_11_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png
index dde1b70..649cbda 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_14_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png
index 0d43d39..22e60cc 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_15_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png
index 5b160f4..9e2e656 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_23_0.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png
index 5a2dd23..3a6c320 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_25_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png
index a7c8fe9..177adac 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_31_0.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png
index 2640723..2d13503 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_3_1.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png
index 0fb1551..8e72dc9 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_7_2.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png
index c6d0701..94ffc64 100644
Binary files a/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ECT_for_embedded_graphs_9_2.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_3_0.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_3_0.png
new file mode 100644
index 0000000..eb5fead
Binary files /dev/null and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_3_0.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_4_0.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_4_0.png
new file mode 100644
index 0000000..061dee7
Binary files /dev/null and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_4_0.png differ
diff --git a/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_6_2.png b/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_6_2.png
new file mode 100644
index 0000000..5291af3
Binary files /dev/null and b/docs/doctrees/nbsphinx/notebooks_Tutorial-ExactECT_6_2.png differ
diff --git a/docs/doctrees/notebooks/Matisse/Matisse_ECT.doctree b/docs/doctrees/notebooks/Matisse/Matisse_ECT.doctree
index 38b10bd..cb9d0ee 100644
Binary files a/docs/doctrees/notebooks/Matisse/Matisse_ECT.doctree and b/docs/doctrees/notebooks/Matisse/Matisse_ECT.doctree differ
diff --git a/docs/doctrees/notebooks/Playing_with_Spirals.doctree b/docs/doctrees/notebooks/Playing_with_Spirals.doctree
new file mode 100644
index 0000000..bb4545e
Binary files /dev/null and b/docs/doctrees/notebooks/Playing_with_Spirals.doctree differ
diff --git a/docs/doctrees/notebooks/Tutorial-ECT_for_CW_Complexes.doctree b/docs/doctrees/notebooks/Tutorial-ECT_for_CW_Complexes.doctree
index 39e1417..3b0bb0c 100644
Binary files a/docs/doctrees/notebooks/Tutorial-ECT_for_CW_Complexes.doctree and b/docs/doctrees/notebooks/Tutorial-ECT_for_CW_Complexes.doctree differ
diff --git a/docs/doctrees/notebooks/Tutorial-ECT_for_embedded_graphs.doctree b/docs/doctrees/notebooks/Tutorial-ECT_for_embedded_graphs.doctree
index be821b1..357e537 100644
Binary files a/docs/doctrees/notebooks/Tutorial-ECT_for_embedded_graphs.doctree and b/docs/doctrees/notebooks/Tutorial-ECT_for_embedded_graphs.doctree differ
diff --git a/docs/doctrees/notebooks/Tutorial-ExactECT.doctree b/docs/doctrees/notebooks/Tutorial-ExactECT.doctree
new file mode 100644
index 0000000..f1fb67b
Binary files /dev/null and b/docs/doctrees/notebooks/Tutorial-ExactECT.doctree differ
diff --git a/docs/doctrees/tutorials.doctree b/docs/doctrees/tutorials.doctree
index e42baee..8ac3788 100644
Binary files a/docs/doctrees/tutorials.doctree and b/docs/doctrees/tutorials.doctree differ
diff --git a/docs/ect_on_graphs.html b/docs/ect_on_graphs.html
index b18610b..248c8ff 100644
--- a/docs/ect_on_graphs.html
+++ b/docs/ect_on_graphs.html
@@ -85,6 +85,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/embed_cw.html b/docs/embed_cw.html
index 09d273d..65ffaca 100644
--- a/docs/embed_cw.html
+++ b/docs/embed_cw.html
@@ -85,6 +85,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/embed_graph.html b/docs/embed_graph.html
index 1098aa7..467ec70 100644
--- a/docs/embed_graph.html
+++ b/docs/embed_graph.html
@@ -85,6 +85,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
@@ -153,7 +154,7 @@
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.add_node">
 <span class="sig-name descname"><span class="pre">add_node</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">vertex</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.add_node"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.add_node" title="Link to this definition"></a></dt>
 <dd><p>Add a vertex to the graph.
-If the vertex name is given as None, it will be assigned via the next_vert_name method.</p>
+If the vertex name is given as None, it will be assigned via the <code class="docutils literal notranslate"><span class="pre">next_vert_name</span></code> method.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
@@ -185,7 +186,7 @@
 <span class="sig-name descname"><span class="pre">next_vert_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">s</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_verts</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.next_vert_name"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.next_vert_name" title="Link to this definition"></a></dt>
 <dd><p>Making a simple name generator for vertices.
 If you’re using integers, it will just up the count by one.
-Letters will be incremented in the alphabet. If you reach ‘Z’, it will return ‘AA’. If you reach ‘ZZ’, it will return ‘AAA’, etc.</p>
+Letters will be incremented in the alphabet. If you reach <code class="docutils literal notranslate"><span class="pre">Z</span></code>, it will return <code class="docutils literal notranslate"><span class="pre">AA</span></code>. If you reach <code class="docutils literal notranslate"><span class="pre">ZZ</span></code>, it will return <code class="docutils literal notranslate"><span class="pre">AAA</span></code>, etc.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>s</strong> (<em>str</em><em> or </em><em>int</em>) – The name of the vertex to increment.</p>
@@ -268,7 +269,7 @@
 <dd><p>Method to find a bounding box of the vertex coordinates in the graph.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
-<dd class="field-odd"><p>A list of tuples representing the minimum and maximum x and y coordinates.</p>
+<dd class="field-odd"><p>A list of tuples representing the minimum and maximum <span class="math notranslate nohighlight">\(x\)</span> and <span class="math notranslate nohighlight">\(y\)</span> coordinates.</p>
 </dd>
 <dt class="field-even">Return type<span class="colon">:</span></dt>
 <dd class="field-even"><p>list</p>
@@ -279,13 +280,13 @@
 <dl class="py method">
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.get_center">
 <span class="sig-name descname"><span class="pre">get_center</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'origin'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.get_center"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.get_center" title="Link to this definition"></a></dt>
-<dd><p>Calculate and return the center of the graph. This can be done by either returning the average of the coordiantes (<cite>mean</cite>), the center of the bounding box (<cite>min_max</cite>), or the origin (<cite>origin</cite>).</p>
+<dd><p>Calculate and return the center of the graph. This can be done by either returning the average of the coordiantes (<code class="docutils literal notranslate"><span class="pre">mean</span></code>), the center of the bounding box (<code class="docutils literal notranslate"><span class="pre">min_max</span></code>), or the origin (<code class="docutils literal notranslate"><span class="pre">origin</span></code>).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>type</strong> (<em>str</em>) – The type of center to calculate. Options are ‘mean’, ‘min_max’, or ‘origin’.</p>
+<dd class="field-odd"><p><strong>type</strong> (<em>str</em>) – The type of center to calculate. Options are <code class="docutils literal notranslate"><span class="pre">mean</span></code>, <code class="docutils literal notranslate"><span class="pre">min_max</span></code>, or <code class="docutils literal notranslate"><span class="pre">origin</span></code>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>The (x, y) coordinates of the center.</p>
+<dd class="field-even"><p>The <span class="math notranslate nohighlight">\((x, y)\)</span> coordinates of the center.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
 <dd class="field-odd"><p>numpy.ndarray</p>
@@ -299,7 +300,7 @@
 <dd><p>Method to find the radius of the bounding circle of the vertex coordinates in the graph.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>type</strong> (<em>str</em>) – The type of center to calculate the radius relative to. Options are ‘mean’, ‘min_max’, or ‘origin’.</p>
+<dd class="field-odd"><p><strong>type</strong> (<em>str</em>) – The type of center to calculate the radius relative to. Options are <code class="docutils literal notranslate"><span class="pre">mean</span></code>, <code class="docutils literal notranslate"><span class="pre">min_max</span></code>, or <code class="docutils literal notranslate"><span class="pre">origin</span></code>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>The radius of the bounding circle.</p>
@@ -314,8 +315,8 @@
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.get_centered_coordinates">
 <span class="sig-name descname"><span class="pre">get_centered_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'min_max'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.get_centered_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.get_centered_coordinates" title="Link to this definition"></a></dt>
 <dd><p>Method to find the centered coordinates of the vertices in the graph.</p>
-<p>If type is ‘min_max’, the coordinates are centered at the mean of the min and max values of the x and y coordinates.
-If type is ‘mean’, the coordinates are centered at the mean of the x and y coordinates.</p>
+<p>If type is <code class="docutils literal notranslate"><span class="pre">min_max</span></code>, the coordinates are centered at the mean of the min and max values of the <span class="math notranslate nohighlight">\(x\)</span> and <span class="math notranslate nohighlight">\(y\)</span> coordinates.
+If type is <code class="docutils literal notranslate"><span class="pre">mean</span></code>, the coordinates are centered at the mean of the <span class="math notranslate nohighlight">\(x\)</span> and <span class="math notranslate nohighlight">\(y\)</span> coordinates.</p>
 </dd></dl>
 
 <dl class="py method">
@@ -327,7 +328,7 @@
 <dl class="py method">
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.get_scaled_coordinates">
 <span class="sig-name descname"><span class="pre">get_scaled_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.get_scaled_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.get_scaled_coordinates" title="Link to this definition"></a></dt>
-<dd><p>Method to find the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by <cite>radius</cite>.</p>
+<dd><p>Method to find the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by <code class="docutils literal notranslate"><span class="pre">radius</span></code>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>radius</strong> (<em>float</em>) – The radius of the bounding disk.</p>
@@ -344,7 +345,28 @@
 <dl class="py method">
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.set_scaled_coordinates">
 <span class="sig-name descname"><span class="pre">set_scaled_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.set_scaled_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.set_scaled_coordinates" title="Link to this definition"></a></dt>
-<dd><p>Method to set the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by <cite>radius</cite>. Warning: This overwrites the original coordinates</p>
+<dd><p>Method to set the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by <code class="docutils literal notranslate"><span class="pre">radius</span></code>. Warning: This overwrites the original coordinates</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk">
+<span class="sig-name descname"><span class="pre">rescale_to_unit_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preserve_center</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'origin'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.rescale_to_unit_disk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk" title="Link to this definition"></a></dt>
+<dd><p>Rescales the graph coordinates to fit within a radius 1 disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>preserve_center</strong> (<em>bool</em>) – If True, maintains the current center point of type <code class="docutils literal notranslate"><span class="pre">center_type</span></code>.
+If False, centers the graph at (0, 0).</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>Returns the instance for method chaining.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>self</p>
+</dd>
+<dt class="field-even">Raises<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the graph has no coordinates or all coordinates are identical.</p>
+</dd>
+</dl>
 </dd></dl>
 
 <dl class="py method">
@@ -365,9 +387,9 @@
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.set_PCA_coordinates">
 <span class="sig-name descname"><span class="pre">set_PCA_coordinates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">center_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_radius</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.set_PCA_coordinates"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.set_PCA_coordinates" title="Link to this definition"></a></dt>
 <dd><p>Method to set the PCA coordinates of the vertices in the graph which is helpful for coarse alignment.
-If you also want to center at zero, the options for <cite>center_type</cite> are <cite>mean</cite> or <cite>min_max</cite>.
-Set <cite>scale_radius</cite> to a value to scale to a specific radius.
-Warning: This overwrites the original coordinates</p>
+If you also want to center at zero, the options for <code class="docutils literal notranslate"><span class="pre">center_type</span></code> are <code class="docutils literal notranslate"><span class="pre">mean</span></code> or <code class="docutils literal notranslate"><span class="pre">min_max</span></code>.
+Set <code class="docutils literal notranslate"><span class="pre">scale_radius</span></code> to a value to scale to a specific radius.
+Warning: This overwrites the original coordinates.</p>
 </dd></dl>
 
 <dl class="py method">
@@ -408,13 +430,13 @@
 <dl class="py method">
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.sort_vertices">
 <span class="sig-name descname"><span class="pre">sort_vertices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">theta</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_g</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.sort_vertices"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.sort_vertices" title="Link to this definition"></a></dt>
-<dd><p>Function to sort the vertices of the graph according to the function g_omega(v) in the direction of theta in [0,2*np.pi].</p>
+<dd><p>Function to sort the vertices of the graph according to the function <cite>g_omega(v)</cite> in the direction of <span class="math notranslate nohighlight">\(\theta \in [0,2\pi]\)</span>.</p>
 <p>TODO: eventually, do we want this to return a sorted list of g values as well? Since we’re already doing the sorting work, it might be helpful.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>theta</strong> (<em>float</em>) – The angle in [0,2*np.pi] for the direction to sort the vertices.</p></li>
-<li><p><strong>return_g</strong> (<em>bool</em>) – Whether to return the g(v) values along with the sorted vertices.</p></li>
+<li><p><strong>theta</strong> (<em>float</em>) – The angle in <span class="math notranslate nohighlight">\([0,2 \pi]\)</span> for the direction to sort the vertices.</p></li>
+<li><p><strong>return_g</strong> (<em>bool</em>) – Whether to return the <span class="math notranslate nohighlight">\(g(v)\)</span> values along with the sorted vertices.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -452,7 +474,7 @@
 <dl class="py method">
 <dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.lower_edges">
 <span class="sig-name descname"><span class="pre">lower_edges</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">omega</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.lower_edges"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.lower_edges" title="Link to this definition"></a></dt>
-<dd><p>Function to compute the number of lower edges of a vertex v for a specific direction (included by the use of sorted v_list).</p>
+<dd><p>Function to compute the number of lower edges of a vertex <cite>v</cite> for a specific direction (included by the use of sorted <cite>v_list</cite>).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
@@ -470,35 +492,70 @@
 </dd></dl>
 
 <dl class="py method">
-<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.plot">
-<span class="sig-name descname"><span class="pre">plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bounding_circle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounding_center_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'origin'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">color_nodes_theta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.plot"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.plot" title="Link to this definition"></a></dt>
-<dd><p>Function to plot the graph with the embedded coordinates.</p>
-<p>If <code class="docutils literal notranslate"><span class="pre">bounding_circle</span></code> is True, a bounding circle is drawn around the graph. This is centered at the center type defined by <code class="docutils literal notranslate"><span class="pre">bounding_center_type</span></code>.</p>
-<p>If <code class="docutils literal notranslate"><span class="pre">color_nodes_theta</span></code> is not None, it should be given as a theta in <span class="math notranslate nohighlight">\([0,2\pi]\)</span>. Then the nodes are colored according to the <span class="math notranslate nohighlight">\(g(v)\)</span> values in the direction of theta.</p>
-<p>If with_labels is True, the nodes are labeled with their names.</p>
+<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.get_all_normals_matrix">
+<span class="sig-name descname"><span class="pre">get_all_normals_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_rounding_digits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.get_all_normals_matrix"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.get_all_normals_matrix" title="Link to this definition"></a></dt>
+<dd><p>Function to get all angles of normals to any line between vertices in the graph, returned as a matrix. Note this includes both adjacent vertices and non-adjacent. This function is useful for knowing the angle of the circle where two vertices switch in order.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>num_rounding_digits</strong> (<em>int</em>) – The number of digits to round the angles in the matrix. If <cite>None</cite>, no rounding is done.</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>A tuple consissting of a matrix of angles, and the sorted label list for the rows/columns.</p>
+</dd>
+</dl>
 </dd></dl>
 
 <dl class="py method">
-<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk">
-<span class="sig-name descname"><span class="pre">rescale_to_unit_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preserve_center</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'origin'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.rescale_to_unit_disk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk" title="Link to this definition"></a></dt>
-<dd><p>Rescales the graph coordinates to fit within a radius 1 disk.</p>
+<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.get_normals_dict">
+<span class="sig-name descname"><span class="pre">get_normals_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_rounding_digits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edges_only</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">opposites</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.get_normals_dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.get_normals_dict" title="Link to this definition"></a></dt>
+<dd><p>Function to get all angles of normals to any line between vertices in the graph, returned as a dictionary of angles with <code class="docutils literal notranslate"><span class="pre">dict[theta]</span></code> returning the list of pairs of vertices with vector normal to <span class="math notranslate nohighlight">\(\overrightarrow{AB}\)</span> at angle <code class="docutils literal notranslate"><span class="pre">theta</span></code>. Note this includes both adjacent vertices and non-adjacent unless <code class="docutils literal notranslate"><span class="pre">edges_only</span></code> is set to <code class="docutils literal notranslate"><span class="pre">True</span></code>. This function is useful for knowing the angle of the circle where two vertices switch in order, especially when we want to sort the events around the circle. All angles are rounded to the number of digits given by <code class="docutils literal notranslate"><span class="pre">num_rounding_digits</span></code>, and are returned in the range <span class="math notranslate nohighlight">\([0, 2\pi]\)</span> .</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>preserve_center</strong> (<em>bool</em>) – If True, maintains the current center point of type <code class="docutils literal notranslate"><span class="pre">center_type</span></code>.
-If False, centers the graph at (0, 0).</p>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_rounding_digits</strong> (<em>int</em>) – The number of digits to round the angles in the dictionary. If None, no rounding is done.</p></li>
+<li><p><strong>edges_only</strong> (<em>bool</em>) – If True, the dictionary version only returns the angle of the normals to the lines between vertices sharing an edge. The matrix version is unchanged.</p></li>
+<li><p><strong>opposites</strong> (<em>bool</em>) – If True, will also include both <span class="math notranslate nohighlight">\(\theta\)</span> and <span class="math notranslate nohighlight">\(\theta + \pi\)</span> in the dictionary keys.</p></li>
+</ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p>Returns the instance for method chaining.</p>
+<dd class="field-even"><p>A dictionary of angles with <cite>dict[theta]</cite> returning the list of pairs of vertices with vector normal to <span class="math notranslate nohighlight">\(\overrightarrow\{AB\}\)</span> at angle <cite>theta</cite>, e.g. <code class="docutils literal notranslate"><span class="pre">dict[theta]</span> <span class="pre">=</span> <span class="pre">[('A','B'),</span> <span class="pre">('C',</span> <span class="pre">'D')]</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>self</p>
-</dd>
-<dt class="field-even">Raises<span class="colon">:</span></dt>
-<dd class="field-even"><p><strong>ValueError</strong> – If the graph has no coordinates or all coordinates are identical.</p>
+<dd class="field-odd"><p>dict</p>
 </dd>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.plot">
+<span class="sig-name descname"><span class="pre">plot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bounding_circle</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">color_nodes_theta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.plot"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.plot" title="Link to this definition"></a></dt>
+<dd><p>Function to plot the graph with the embedded coordinates.</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">bounding_circle</span></code> is True, a bounding circle is drawn around the graph.</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">color_nodes_theta</span></code> is not <code class="docutils literal notranslate"><span class="pre">None</span></code>, it should be given as a <span class="math notranslate nohighlight">\(theta\)</span> in <span class="math notranslate nohighlight">\([0,2\pi]\)</span>. Then the nodes are colored according to the <span class="math notranslate nohighlight">\(g(v)\)</span> values in the direction of <span class="math notranslate nohighlight">\(\theta\)</span>.</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">with_labels</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code>, the nodes are labeled with their names.</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">ax</span></code> is not <code class="docutils literal notranslate"><span class="pre">None</span></code>, the plot is drawn on the given axis.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.plot_bounding_circle">
+<span class="sig-name descname"><span class="pre">plot_bounding_circle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounding_center_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'origin'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.plot_bounding_circle"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.plot_bounding_circle" title="Link to this definition"></a></dt>
+<dd><p>Function to plot the bounding circle of the graph.</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">ax</span></code> is not None, the plot is drawn on the given axis.</p>
+<p>If <code class="docutils literal notranslate"><span class="pre">bounding_center_type</span></code> is ‘origin’, the bounding circle is centered at the origin. If it is <code class="docutils literal notranslate"><span class="pre">min_max</span></code>, the bounding circle is centered at the mean of the min and max values of the <span class="math notranslate nohighlight">\(x\)</span> and :math`y` coordinates.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="ect.embed_graph.EmbeddedGraph.plot_angle_circle">
+<span class="sig-name descname"><span class="pre">plot_angle_circle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">edges_only</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/ect/embed_graph.html#EmbeddedGraph.plot_angle_circle"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#ect.embed_graph.EmbeddedGraph.plot_angle_circle" title="Link to this definition"></a></dt>
+<dd><p>Function to plot the circle of angles for the graph.</p>
+<p>Example Usage:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">G</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">plot_angle_circle</span><span class="p">(</span><span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
 </dd></dl>
 
 <dl class="py function">
diff --git a/docs/genindex.html b/docs/genindex.html
index 12cfe12..2daba50 100644
--- a/docs/genindex.html
+++ b/docs/genindex.html
@@ -80,6 +80,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
@@ -233,6 +234,8 @@ <h2 id="G">G</h2>
       <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.g_omega_edges">g_omega_edges() (ect.embed_graph.EmbeddedGraph method)</a>
 </li>
       <li><a href="embed_cw.html#ect.embed_cw.EmbeddedCW.g_omega_faces">g_omega_faces() (ect.embed_cw.EmbeddedCW method)</a>
+</li>
+      <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.get_all_normals_matrix">get_all_normals_matrix() (ect.embed_graph.EmbeddedGraph method)</a>
 </li>
       <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.get_bounding_box">get_bounding_box() (ect.embed_graph.EmbeddedGraph method)</a>
 </li>
@@ -247,6 +250,8 @@ <h2 id="G">G</h2>
       <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.get_coordinates">get_coordinates() (ect.embed_graph.EmbeddedGraph method)</a>
 </li>
       <li><a href="ect_on_graphs.html#ect.ect_graph.ECT.get_ECT">get_ECT() (ect.ect_graph.ECT method)</a>
+</li>
+      <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.get_normals_dict">get_normals_dict() (ect.embed_graph.EmbeddedGraph method)</a>
 </li>
       <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.get_PCA_coordinates">get_PCA_coordinates() (ect.embed_graph.EmbeddedGraph method)</a>
 </li>
@@ -303,8 +308,12 @@ <h2 id="P">P</h2>
         <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.plot">(ect.embed_graph.EmbeddedGraph method)</a>
 </li>
       </ul></li>
+      <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.plot_angle_circle">plot_angle_circle() (ect.embed_graph.EmbeddedGraph method)</a>
+</li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="embed_graph.html#ect.embed_graph.EmbeddedGraph.plot_bounding_circle">plot_bounding_circle() (ect.embed_graph.EmbeddedGraph method)</a>
+</li>
       <li><a href="embed_cw.html#ect.embed_cw.EmbeddedCW.plot_faces">plot_faces() (ect.embed_cw.EmbeddedCW method)</a>
 </li>
       <li><a href="ect_on_graphs.html#ect.ect_graph.ECT.plotECC">plotECC() (ect.ect_graph.ECT method)</a>
diff --git a/docs/index.html b/docs/index.html
index ce4c27c..887eb2e 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -84,6 +84,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/installation.html b/docs/installation.html
index 0658253..8d5c26a 100644
--- a/docs/installation.html
+++ b/docs/installation.html
@@ -83,6 +83,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/license.html b/docs/license.html
index af7214b..dbc9aff 100644
--- a/docs/license.html
+++ b/docs/license.html
@@ -83,6 +83,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/modules.html b/docs/modules.html
index 738b695..a972e8d 100644
--- a/docs/modules.html
+++ b/docs/modules.html
@@ -85,6 +85,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/notebooks/CodingFiguresFern.html b/docs/notebooks/CodingFiguresFern.html
index fcb9472..5d851bb 100644
--- a/docs/notebooks/CodingFiguresFern.html
+++ b/docs/notebooks/CodingFiguresFern.html
@@ -84,6 +84,7 @@
 <li class="toctree-l3"><a class="reference internal" href="Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../contributing.html">4. Contributing</a><ul>
diff --git a/docs/notebooks/Matisse/Matisse_ECT.html b/docs/notebooks/Matisse/Matisse_ECT.html
index 315c84c..5d1465c 100644
--- a/docs/notebooks/Matisse/Matisse_ECT.html
+++ b/docs/notebooks/Matisse/Matisse_ECT.html
@@ -25,7 +25,7 @@
     <script src="../../_static/js/theme.js"></script>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
-    <link rel="next" title="4. Contributing to the ect Package" href="../../contributing.html" />
+    <link rel="next" title="3.4. Tutorial for exact ECT computation" href="../Tutorial-ExactECT.html" />
     <link rel="prev" title="3.2. Tutorial: ECT for CW complexes" href="../Tutorial-ECT_for_CW_Complexes.html" /> 
 </head>
 
@@ -86,6 +86,7 @@
 <li class="toctree-l3"><a class="reference internal" href="#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="../Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../../contributing.html">4. Contributing</a><ul>
@@ -305,7 +306,7 @@ <h1><span class="section-number">3.3. </span>ECT on Matisse’s “The Parakeet
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;matplotlib.image.AxesImage at 0x303d56d40&gt;
+&lt;matplotlib.image.AxesImage at 0x3199f6190&gt;
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -331,14 +332,14 @@ <h1><span class="section-number">3.3. </span>ECT on Matisse’s “The Parakeet
 </div>
 </div>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[14]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># read in color hexcodes</span>
 <span class="n">col_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;doc_source/notebooks/Matisse/colors.csv&quot;</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 
 <span class="n">scale_val</span> <span class="o">=</span> <span class="mi">6</span> <span class="c1"># set scale value</span>
-<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span> <span class="c1"># set figure dimensions</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span> <span class="c1"># set figure dimensions</span>
 
 <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">file_names</span><span class="p">)):</span> <span class="c1"># for each leaf</span>
     <span class="n">shape</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">loadtxt</span><span class="p">(</span><span class="n">data_dir</span><span class="o">+</span><span class="n">file_names</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="c1"># get the current shape</span>
@@ -351,11 +352,12 @@ <h1><span class="section-number">3.3. </span>ECT on Matisse’s “The Parakeet
     <span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">()</span><span class="o">.</span><span class="n">set_aspect</span><span class="p">(</span><span class="s2">&quot;equal&quot;</span><span class="p">)</span>
 
 <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;MDS of Matisse&#39;s Leaves via ECT distances&quot;</span><span class="p">)</span>
+<span class="c1"># plt.savefig(&quot;Matisse_MDS.png&quot;, bbox_inches = &#39;tight&#39;, dpi=300)</span>
 </pre></div>
 </div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[14]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -381,7 +383,7 @@ <h2><span class="section-number">3.3.1. </span>Acknowledgements<a class="headerl
           </div>
           <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
         <a href="../Tutorial-ECT_for_CW_Complexes.html" class="btn btn-neutral float-left" title="3.2. Tutorial: ECT for CW complexes" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
-        <a href="../../contributing.html" class="btn btn-neutral float-right" title="4. Contributing to the ect Package" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
+        <a href="../Tutorial-ExactECT.html" class="btn btn-neutral float-right" title="3.4. Tutorial for exact ECT computation" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
     </div>
 
   <hr/>
diff --git a/docs/notebooks/Matisse/Matisse_ECT.ipynb b/docs/notebooks/Matisse/Matisse_ECT.ipynb
index 7db4d29..5b66a5e 100644
--- a/docs/notebooks/Matisse/Matisse_ECT.ipynb
+++ b/docs/notebooks/Matisse/Matisse_ECT.ipynb
@@ -95,7 +95,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVgAAAGdCAYAAABXSWtHAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAABMIUlEQVR4nO29e3QV5b3//w63ACGJkQCbNAShQIQEcYNUgSoQbtKCSPqVQLFKj8cWVBTFU1FXv+I5q4L+jlDEn1B7PGqLGvRb4tGlSIEQrqXFsLEhYIQv0EAhBtKQhAAJl/n+QWezL3N5ZuZ55rY/r7WyFuyZPfPMM7M/87k/SZIkSSAIgiC408bpARAEQfgVErAEQRCCIAFLEAQhCBKwBEEQgiABSxAEIQgSsARBEIIgAUsQBCEIErAEQRCCaOf0AMxw9epVnDx5EqmpqUhKSnJ6OARB+BxJktDU1ISsrCy0acOul3pSwJ48eRK9evVyehgEQSQYx48fR3Z2NvP+nhSwqampAK5dbFpamsOjIQjC7zQ2NqJXr15h2cOKJwWs7BZIS0sjAUsQhG0YdUlSkIsgCEIQJGAJgiAEQQKWIAhCECRgCYIgBEECliAIQhAkYAmCIARBApYgCEIQJGAJgiAEQQKWIAhCECRgCYIgBEECliAIQhAkYAmCIARBApYgCEIQJGAJgiAEQQKWIAhCECRgCYIgBEECliAIQhAkYAmCIARBApYgCEIQJGAJgiAEQQKWIAhCECRgCYIgBEECliAIQhAkYAmCIARBApYgCEIQJGAJgiAE0c7pARCJSai6HkfPNKNPZgqCORnc9ycIN0AClrCVUHU9VpYeQmnV6fBnc+/qi0WTB6p+Z+n6g1i97Yjm/iSACTdCApawjVhBKbN62xHc1K4BA7p2iNv2TV0rVm+ri9t/Ul4gLEhZBDBBOAEJWMIW1u6pVhSuMnNffA0NOz+I+zx91CzccOfsuM8/KPsrpPxUVQHcJzMFRcNzrA+cICyQJEmS5PQgjNLY2Ij09HQ0NDQgLS3N6eEQOqhprpHMGNgFM/NT4z4vrmzEhwea4z4/u/09NOz8ACl5Y5E5daHiMUmTJXhhVuaQBksIJVRdrytcAWDWmFsUfadJmfX48MCuuM9Xv/A4BnR9GpuONOON8kbFY8a6EgjCbihNixDK0TPx2mcs80b3VRWCwZwMzL2rb9z+MyfcgaFDh6Jf3z6ax36upAKh6nr2ARPCCVXXY93eE6r3RW+7lyANlhBKn8wUze0vFw7W9ZUumjwQk/ICilkCesc/WNOE6at2kbvAJegFJP0WsCQfLCGcJ9eGULLvZNzn80b3xTN3W//xsPh4AaBk3khyFzhEqLoeZVW1WFF6OG7b0oKuGNC1A76pa8Wi0rq47W64b+SDJVzJ0vUH44Tr2NxueLygP7cfzaLJA9EnMwXPrKvQ3K+sqtbxH2qiEJmXvKGyRvMF+K9PPofmyi2qAcujZ5o9e99IwBLCUAtwbak6jccL+nM9V9HwHOw+UqeoKcusKD2MlstXPW1yegFWi0Lmfy9+EeP7/qeqBrv90GkUDs3mOUTboCAXIQytABdL8Msoy4uCmH5rluY+q7cd8UXwxK2wZo1E0q9vHwwdOhS5ubmK20v2ncTaPdU8hmc7JGAJYWgFoPSCU2ZZXhTEEwX9NPdZWXrI0DFjo9p+inLzQp6T//jsgOHvys+C1kv3mXUV+Ok7f/HcnJOLgBCGnGIVq9FopWXxYExud8Vgikxp1WmEquuZxhBr7t6anY59JxrC//d6lJsHRl0CkUQ+C3ov3S1Vp7Gl6rSn5pwEbAIR2xDFjgYpiyYPxE3tGjD3xdfws5//DLNGDxEesFAT7JGwBLyUzN1I4Qpcczkkt2uDMbndPRuIsYJeCbQShcEsfL9ft7jnLpiTgbG53bAlohGQEl4qICEBmyA4qYkN6NoBDTs/wMzXnrbtR6GXWcAS8GL1E68oPYwVpYc9pVnxwIjm+nLhYLRv20b3Zf54QX9dAQt4J7OABKyPkTXUS1euMmlifTJTmH4EXkEvs0BPEzLqJ06kJjNGglmFwSzmOWGxPgBxPnzekID1KWb8YpHa3vRbs3Bn/3gzzgiygD98pBkpeWPxTV0rhpo6knnu7N9NM3VLSxNi/bFH8sy6CnxRWcM1z9dthKrr8VyJds6xTGEwC8tmBA0dX67ci+0bHMlrpYc8McdUyeVDQtX1mL4qvkGKWcyYvmoC3m4zWm8upt+aheVF2gKgeONu/OuTz+F/L35RtbGMEn50GbC+uJ8o6MfFL712T7VmAYldc2xW5lCalg/hnWNqNHdUy3y0Ow9VqVlMJCX7TuqOZ0DXDmiu3ILxfVM0jxWL33JuWd0C80b3xZMTcrlol+3baosot88xCVgfsv2QfpDAKEaEtt6+IooMtFg0eaBmbmxZVa2hY5XMG6mbayvjp25eLPP0cuFgLv0lZFh8rXY/T0YgAeszQtX1mj5HmVuz0w0d14jQ1vtROBGgGJPbXXXbitLDWLr+IPOxgjkZeHJCLpM2K3fzMnJ8N7J0/UHN3GLAWDCLlWBOhm51ngiFghckYH2G1tv8iYJ+WHbfEJTMG4mPH/0+SuaNDP9fT1iwmNIyWma56CIDNfR+qGZMTVmbLcjtpruvCFNWraKMd6UZi2vATDCLFb0SaCPPpt1QFoHP0NIOY4MOwZyM8P+DORmYlBfAR+XH8f5fjit+30juoVxgIAeH+vXt43j6l5WMAjWCORn47znf0w3GANdKdP97zvcMHV8Ntb6pIvqpvqZTWvxEQT88OUG5jwAvlhcFkXNjZ1Ut2q15saTB+gw17ZFFcwzmZOC+Yb1Utxs17SODQ4VDsx3/AeiN/9KVq6aPXTQ8R9eULa06zaVpiZJGuXrbEbzyf7Yrfr58Y5VpDS9UXa+b+K/lfuGJ1nms3DuRkID1IYsmD8TSgq44u/09zBiUgpJ5I5kDD1YEtNvRyyh4Zl2Foq/0m7pWpI+aheL9TZqCiqWbF4+mJWpuoJf/q1jx8xWlhzF91S5T59ULbNn5XGjdP7V75zQkYH1KuDw1L83wD0D2Lc4Y2AVnt7+HpQVduUaGnWTR5IF4uXCw6vZYX+nS9QexqLQON9w5Gx8ePKcbsFpeFNQ8PnCtaYmVwJeaJj5n1v/iel69wBbvjAEWJuUFVLe5MWWLBKzPkAMcmyKqp8wQzMnA0J7JuHy2BtUNl3zVnk8vt1LWENWCO3o/5KLhORgrOPAVG1ibN7ovRg1ma2LOcl69wJaIjAEW9FKyjKTc2QEFuXxEbIAjc+pCLCqtw7HLB01WYtUhc+rCa9VL5V8B8Ed1EmsamV7DcB5NS54rqcBL0wczWxlqlVSSZMxHrndePUH2/X76LxAR6F2j21atIA3WJ/CsnnJTJZYIWNPIrDQM1/P3yhjJk9W7LwCYK830zuvGXGaAbV7d9IySgPUJPKun3FaJJQLZz7zsviF4ZFgaznz6apyv2WrAj3eeLMt9ibwuvYCbfF6lzAY35jLL6FXmAe55RknA+gSeGodbtRfeBHMyUDg0G+P7pqC5cgsGdO0Qt0844DcoxVTAT86T1Qt8AfpCgfW+yNfFEnAD1CPwcjbKmU9fxSPD0sJFKW4IeOqlhrnlGSUB6xN4ahxu1l6cIJiTgZl5aWjY+YGiEGaBJU/WittB7b6wnBdwl1nNgleeUQpy+Qie1VNyT85r/VyP4t8Xv4D/Wv4SZk5wXnvxKnJbRLVqMpYep2busd55ZWIDX24PdHrhGSUN1mfwrJ5iMaEJY2iZ7ax5qmbuMYu7IDLw5ZVAp9ufURKwPiJUXY/i/U1IHzXLdP4rIR6nepwWDc9hyjJYve2Ibj6pW4JIbocErE9Yuv4gpq/ahQ8PnsMNd87GotI6V5YOEmwBGFEJ83qVbDL/85W2O8EtQSS3QwLWB5itOCKcgaXHqdEetUZgCXwdqzuvuX1DZQ3PIfkWSwJ2yZIlSEpKwoIFC8KfSZKExYsXIysrC506dcKYMWNQWVkZ9b2WlhbMnz8fmZmZSElJwT333IMTJ05YGUpCo1dxRFhDhOuFpTGMyBcky/m1oJc3G6YF7J49e/Dmm2/illtuifr8lVdewbJly/D6669jz549CAQCmDBhApqamsL7LFiwACUlJSguLsaOHTtw7tw5TJkyBVeuXDF/JQmMlYojQhuRrpflRUFHE+ZZ82TVoJe3PqYE7Llz5zB79mz89re/RUbG9QimJEn49a9/jeeffx6FhYXIz8/Hu+++i/Pnz+P9998HADQ0NOCtt97Cq6++ivHjxyMYDGLNmjWoqKjApk2b+FxVguHnFoNOYofrxemEedY8WSXc2oPVTZgSsI8++ih++MMfYvz48VGfHz16FDU1NZg4cWL4s+TkZIwePRq7dl1bOrm8vByXLl2K2icrKwv5+fnhfQjjWOkBSyhjh+tFr7beDl+nWXeBG3qw8uoeJwrDhQbFxcXYu3cv9uzZE7etpubaw9CjR4+oz3v06IG//e1v4X06dOgQpfnK+8jfj6WlpQUtLS3h/zc2sq9Nn0iEe8C+9jRprhywy/WyaPJA9MlMUVxyZvW2I5iUFxB+P5cXBXFH3666y97EYtf4lODZPU4UhjTY48eP44knnsCaNWvQsWNH1f2SkpKi/i9JUtxnsWjts2TJEqSnp4f/evVSX9aEIFjR037sdL1o5cba5etkzZONxQlfrFcKIQwJ2PLyctTW1mLYsGFo164d2rVrh61bt+K1115Du3btwpprrCZaW1sb3hYIBNDa2or6+nrVfWJ59tln0dDQEP47flx5UT6CYEUOXj310Vd4o7wxrP3Emrx2uV7cEqhk6VQVixO+WK90fDMkYMeNG4eKigrs27cv/Hfbbbdh9uzZ2LdvH/r27YtAIICNGzeGv9Pa2oqtW7di5MiRAIBhw4ahffv2UfucOnUK+/fvD+8TS3JyMtLS0qL+CMIsRrUfK8vvsOKmQKXRRQyd8MV6peObIQGbmpqK/Pz8qL+UlBR07doV+fn54ZzYl156CSUlJdi/fz/mzJmDzp0748c//jEAID09HQ899BAWLlyIzZs3IxQK4f7778fgwYPjgmYEIQK3aj9uWQtNTdiPGZCp+h27zfKE7ab1i1/8AhcuXMAjjzyC+vp63H777fjjH/+I1NTU8D7Lly9Hu3btMGPGDFy4cAHjxo3DO++8g7Zt2/IeDkHE4WbtJ5iTASk/Ff/fzg8woOvTjo1D7lT1+vq9+GTDZjwwbQKS0zppfkdvGR2ehKrrMaBHKn50c2e888H/wZxZ/wujBvc33T1OFJYFbFlZWdT/k5KSsHjxYixevFj1Ox07dsTKlSuxcuVKq6cnCMPI2o+Sm8BN2o/TbKisweZjF5GSOwp/+Po8AO3yWbteTLHZA6nBH+APX59Ht+5NKByabcsYWKF+sERCwrN3rh/RW1U2lsJgli1zp+c/dyplTA1q9kIkLDx75/oNPT/0wEBq1P/XhU7aEuhyq/9cDRKwBEHEoWfuH6xpivvMjkCXm/3nSpCAJRIOt5dXugGtKL3WKrmiNUitVo9u9J+TD5ZIKLxQXukW1Na8ys3tj9Kq04rfEa1BLl1/MG5tsYLcbpivs5aZU5AGSyQMXimvdBNKa16pabcFN6trtjxQu39qwt4NkIAlEgavBUjczKLJA+NM9dKv2RZtNIsXG8uTgCUSBq8FSNxMqLpedRlwUdaAW/o1GIEELJEweCVA8k1dK1LyxmLTkWas23vCFa6Lb+pakT5qFoorGxGqrnfEGnBTvwZWKMhFJAxeCJBcC8LVIXPqQrxR3giUfwUAmHtXX8eCcPKYbrhzNj480IwPD+zSbdAtSqOUC0Tmvvgafvazn2PWmFtcc++UIA3WB1DakT5eCJC4MQinNqaSfSdttwbk57y64RIun63B0J7JrhauAGmwnofSjtgoq6pV3WZnkxItWMxuu8epNaY7+3fDAyNuikvjmjmB/3Pn1eecNFgP40aNx40sXX8QK0oPq253S4DEjUE4vcCSUhoXb7z8nJOA9TCUdqSPXtMSu5qUsODGHqduCCx5+TknAeth3KjxuA29H9/3+4lNjueFJDl3bqcbgXv5OScB62HcqPG4DS/9ON1sCgdzMjAzPxUNOz8Q4gbQO7dXn3MKcnkc6muqjZz7qpQU77YfpxuDXG5hUl4Ah6pP4pMNpXhg2nhXrl6gBAlYH3C9r+l/YqjLOro7jRdyX2W8pG3bSWQGQUruSNeuXqAEuQgI3+KF3NdIvGwKi0LtHjrtMmGFNFjCt+g1B3GjwCKXTzRevIeRkIAlfIsXm4MA5PKJxKv3UIZcBIRvcUMOJ2ENr99DErCEbwlV12NAj1T86ObOaK7aiXE3dUTJvJG25nAS1vD6PSQXAeFLYmvXU3JHYfOxi+hfWeMJzYfwxz0kDZbwHW5O2CfY8Ms9JAFL+A4v164T1/DLPSQXAQNyB/fIdBmlzwh3wCthX77HhyP67A7lMUBCF78UXZCA1eHJtaGoSiA5ohlpvjjZbZ6IR448K5mYrNFnr/Yf9Qs87qEbIAGrQaxwBaBaVTIpL+CZm54IWEnY1/P/0b22Bz8UXZCAVUFr1UwlvFBVkmiYTdinpivOI7tnqhsuAQBy0tt7ovdALCRgVTDqRL905aqgkRB24xf/n1fxk3uGsghU0PoR9e8Wv+2ZdRVYuv6gyCERNkFNV5zDL+lZMiRgVVD7kRUGs3DotLJ268UHwI9YXWU3snqoKfQ5fnRzZyy7b4inKoi8il/Ss2TIRaBB1BrsP/8ZZo0egqNnmrEupO6b9ZN/zotpSlbNy9jvpwZ/4Kn+o17Hb+4Z0mB1GNC1Axp2foCZeWkI5mT47gFQY+n6g5i+ahee+ugrvFHeGBZUbnaDWDUv/WaeehG/uWdIwBrEbw+AEl4VNFbNS7+Zp15lUl4A427qiOaqXZ53z5CLwASLJg/EpLzAP83no/j3xS/gv5a/hJkTvPcAKOHVNCWr1kWiWCduxsvLwyhBGqxJgjkZKByajfF9U9BcucX2lTZF4lVBY9W6SATrxM14fXkYJUiDJeLwcpmi1eqf66uXbsYD0yZ4ZvVSP+D15WGUIAFLKOLlMkWzFVzR5ukoz5unXsPry8MoQS4CD2M131OP64IqBYVDsz0hXM3iR/PUa3h9eRglSIO1yDd1rUgfNQvFlY1Iyqy37UFwezlhqLoexfubkD5qlifyZ71knn5T14qUvLHYdKQZx3DCM5YFC1G55z/7OWaNucXT10YarAWWrj+IRaV1uOHO2fjwQDOmr9plS56o29Oo5BzaDw+eww13znZ9/izgHfNUfuYypy7EG+WNeOqjr2x77uwinHuen+pp4QqQgDWNkyalm/M1nTa1Q9X1KK5sDGvOrHjBPHX7i9Uqol1eTkAuApM4aVK6OY3KyXmJdJvImrMRl4lSabRbhCvg3fxkFtzu8jILabAmcdKkdHO+plPzwktzji2NdhNufrFawc+aOQlYkzhtUi6aPBBLC7rizKev4pFhaa4pJ3RqXvQ0Zz3cYp5quTjc/GK1gptdXlYhF4EF5JLZD8r+ijff/A1Wv/C4reWyZvM9ReOEqW1Fc3aLecri4vBjmbZfNXOANFjLBHMyMDM/FQ07P/BVuaxV7Da1zWrObjFPjbg4/Fam7VfNHCANlvARZnIo3RI48lIergi8XDmoBWmwhK8wmkPpFvPUK3m4IvFj5SAJWA5EVtas23vC01HPRMMt5qnTQVNCDOQisMi1wMT1yhqUfwUAmHtXX0/n7yUSbjFP/VYmSpAGawm3BEgI67jFPHVrmajZCrlEhzRYC7glQEIQIrFaIZfIkAZrAbcESAhCFE73lvA6JGAt4JYACUGIwmqFHCt+dUGQi8Aifqys8SKh6vp/3oPrpa5u70HrBexIH/OzC4IELAeCORkI5mRgL2rxjA8qa7yGW0pd/Yja+my8LDQtF8SkvIDnrUByEXAkcnUD8k/ZQyJncoSft/1NQq9Tbix0dvt7mDGwC9emQna5IJyCBCwnnFrdINHxcycmLaKet4PnhD9votLH/F7BRgKWAxRpdY5EzOTw0/Pm9wo2ErAc8LuZ42b8kslhpB+tnc+b3rh49NEV6YJwGgpyccDvZo7bcUupq1mMBunset70xsUzuBh2Qbz2tGfuGwukwapg5M3shJkTuyx2ouOWUlejmAnS2fG86Y1r7Z7qhA0uGoEErALystNPffQV3ihvDL+ZtYIIiyYPRMm8kZgxsAvObn8PSwu6CjNzvLgsNqGM2SBd+HkblCLkedMb11cnzlr6fqJAAjYGK2k/dqxu4KcAB2EtSBfMycDMvDQhz5veuIZk32Dp+4kCCdgYrKb9iO4N6/aAmlsWD/QKbg3S6Y2raHgOl3H7/XmhIFcMVjQKO3rDujmgRhVV5nBrkM7suCSJ7fiJ8LwY0mBXrVqFW265BWlpaUhLS8OIESOwfv368PY5c+YgKSkp6u+OO+6IOkZLSwvmz5+PzMxMpKSk4J577sGJEyf4XA0HzGoUdlUUuTVvMJErqnjg1iCd2ris3u9EeV4MCdjs7GwsXboUX375Jb788ksUFBRg2rRpqKysDO9z991349SpU+G/zz//POoYCxYsQElJCYqLi7Fjxw6cO3cOU6ZMwZUrV/hcEQfkvLwzn76KR4alYdl9Q3Rz8+ysKIrKGxyU4oq8wUStqPIzWh2urN7vRHleDLkIpk6dGvX/X/3qV1i1ahV2796NvLw8AEBycjICgYDi9xsaGvDWW2/h97//PcaPHw8AWLNmDXr16oVNmzZh0qRJZq5BCNff3P+JoUOzdfe3u6LIbXmDiVhR5Wf0OlxZvd+J8ryYDnJduXIFxcXFaG5uxogRI8Kfl5WVoXv37hgwYAAefvhh1NbWhreVl5fj0qVLmDhxYvizrKws5OfnY9euXarnamlpQWNjY9Sf23BrsMIuEv36nUJEUJUlU8Xq/U6U58VwkKuiogIjRozAxYsX0aVLF5SUlGDQoEEAgMmTJ+O+++5D7969cfToUfzyl79EQUEBysvLkZycjJqaGnTo0AEZGdGT16NHD9TU1Kiec8mSJXjxxReNDtV2Er03rFuDNX5FVFBVL1NFvp9Wn/dEeF4Ma7C5ubnYt28fdu/ejXnz5uHBBx/EgQMHAABFRUX44Q9/iPz8fEydOhXr16/HN998g88++0zzmJIkISkpSXX7s88+i4aGhvDf8ePHjQ7bNoI5GSgcmo3xfVPQnIC9Yd0arPEbIoNERjJVrD7vfn9eDAvYDh06oF+/frjtttuwZMkSDBkyBCtWrFDct2fPnujduzcOHToEAAgEAmhtbUV9ffTNr62tRY8ePVTPmZycHM5ckP8Iwg+YzQMVGSRya6aKF7FcaCBJElpaWhS31dXV4fjx4+jZsycAYNiwYWjfvj02btwY3ufUqVPYv38/Ro4caXUoBGEa0QUiSpgpyZYRHSTyc4crOzEkYJ977jls374dx44dQ0VFBZ5//nmUlZVh9uzZOHfuHJ5++mn86U9/wrFjx1BWVoapU6ciMzMT06dPBwCkp6fjoYcewsKFC7F582aEQiHcf//9GDx4cDirgCDsRm5eLfsyn/roK+ENrK2a+HYEiUQ12U4kDAW5vv32W/zkJz/BqVOnkJ6ejltuuQVffPEFJkyYgAsXLqCiogK/+93vcPbsWfTs2RNjx47F2rVrkZqaGj7G8uXL0a5dO8yYMQMXLlzAuHHj8M4776Bt27bcL84JaPE9b6En6EStC8Vi4uudN9GDql7AkIB96623VLd16tQJGzZs0D1Gx44dsXLlSqxcudLIqT1BIpT++Q0egs4MvEx8WnDT3VCzF04kSumf33Aq4T1R8kATHWr2wgmnNCG3ERksOoYTrs9rVFuWGhAv6BIhDzTRIQHLiUQp/dPCjm5iInDSl2m0JJvwFuQi4ESim3xed5EkeoEIIQbSYDmSyCYfuUgSE8qa0YYELGcS1eQjF0niQVkz+pCLgOBCortInOabulakj5qF4v1Nlt0xLOW7PBpu+3mpGBnSYAluUOK7M8jBxRvunI0PD57Dhwd3mQ4ssmqlVlxCiaT5kgZLcIWCRfbCc5VhI1qpWZeQ14OhRiEBSxAehucqw0Y6dJl1CSXKUjEy5CIgCA/Dc5Vho1qpmayZRAuGkgZLEB7G6d6tRhtmJ1owlAQsQUTAMxpvF4smD0TJvJGYMSgFZ7e/h6UFXU31brXLfDezarNXIQFLEP9E7gsrR+NF94TlSTAnAzPz0tCw8wPTgUU7zXe/LxUjQwKWUMWJLv9OwTMa71USzXy3AwpyEYp4tXGLWVhXUvU7lMvMF9JgiTh45Cp6zZfJMxrvdSiXmR8kYFVIJPM4FqvBDi/6Mp2OxhP+hASsAk4sgucmrAQ7vOzL5BWNJwgZErAxJFopnxJWgh08K4uMwMvi4BGNd4pEtrrcCgW5YvBKX9NIH2dSZj33MZkNdjjhy0y0gJwSNAfuhDTYGLxQymeXj9NMsMNuXyZZHDQHboYEbAxuzwX0go9T9mWOu6kjmqt24Uc3d0b/7qlCxiei+shrpnaiNVDxEuQiUMDNuYBeydfcUFmDzccuIiV3JP7w9Xn84WsxJitvi8OLprYXrK5YvLb6sFlIg1XBrbmAXsjXtNNk5WlxeNXUdrvVFUsiZemQgOWMaPPSC/madpusskti2X1D8MiwNJz59FVTKVZeNrV5zYFovPoSMwsJWI7Y9WZ2e76mnia9/dBp7ufkYXF40dSOxK1WVyRefomZgQQsJ+x+M7s5X1PLZAWAkn0nXampeM3U9iJef4kZhQQsJxLtzazHoskD8URBP9XtouYjnB9c2WhKiEea2j+6uTOaQp8LzYJINBLtJUYClhOJ9mZmYUxud9VtIuYjKj/4QLNp90wwJwPffNuEP3x9HqnBH+APX5/3dSDGbrziL+YBCVhOJNqbmQU7A3JOra5qFa/l3PLCC/5iHpCA5UgivZlZsSsg59TqqlYQFRRNVKHtRkjAciZR3sxGsCMg5+TqqmYQpSUnUo6pFyABS/gCnu4IO9w9IrRk3kLbasCQIAFL+IiwO2JgF8vuCNHuHhFaMk+hzStgmOiQgNXB7NInfvKDeUmTCeZkYGZ+Khd3hOzuyUlvj3Y3BLD3VAu36xehJfMS2kYChn56zkVAAlYDs20B/eQHS3RNRmRrSN5aMi+hzRow9NNzLgoSsCqYTfvxU621F1ojisSO6+cdFOUhtFkChn56zkVCAlYFs2k/fqrocmr5F6vwMlu9ev1WhTZLwNBPz7lIqB+sCmbTfuys6BLdU5Nn6pNd/T959nP1QmtIUcg9kT8o+yvefPM3WP3C41H9kKlykQ3SYFUwm/ZjV0WXHf4vXqlPdvnqeJutXmgNKRKtgCFVLrJBAlYDs1VIsQ1Dmqt2YdxNHTFxUIDLuOz0f1lNfbJzrCLMVruWv/FiNJ4qF/UhAauD2SqkyIYhKbkjsfnYRW5am93+LyupT3aOVZTZGrv8DW8N3MvReKpc1IYErCBERqC95P+yc6xaZmtBbjdTxxStgSd6NN6LmrsRSMAyYOYhEBmB9pL/y+6xymZrrEAtrTptSisUrYGLPL7ZIpnYY4gSgF7W3FmhLAIdzEalRUeg3bzybSxOjLW0SnlZmtXbjmBSXoBZsIvWwEUdX35u5QKJDw/uMpxJIXKFXT3N3cg9cjOkwWpgxXyzIwJtp//LqiYTWXYKANUNl4SZhDy1Qi0NvDCYZfleitDwebinjD77RrXlRMmjJQGrgdWHIDoCvdOzS4/wMuXsMgl5a4XyfRwb43ZYFzrJZey8s054uKeMPPtmyom9FEewAglYDXg8BNcj0KM8ufQIryCMncEcvUUXN1TWmDruFgW3A6+x88w64eGeYn32zWrLXoojWIEErAZWHwI/RIh5mXJ2m4SLJg/Ey4WDFbeZmXvRZbM8s054uKdYn30r8yI6X9wNkIDVwUoytR/8TLxMOSdMwvZt1R9vo3MvOmjJW4DzWKqH5dm3Oi8i88XdAAlYBswGk+wSKiJTaXiZcqKDRUpoze+lK1cNHUtt/AU3m8uvjUWEAOexVE9cT9yai1HPl1Vt2e8d20jACsQOoWJH4IhXSaToYFEsWvP/zLoKw+dcNHkgpt+aFfVZ6dfm8mtjURXgJgskeKLXE9hKObFXO5axQgJWMGqJ7zyEit2BI14pYSKDRbFMylP35xk9Z6i6HiX7TnI5lhKKAtxkgQQvWDVMs+XEfu9YRgLWAFYqY5QS363+KJ3w8Vp1R9itsfCcI9HzLVqAm0HrmsqqagG4P1/cSUjAMmJl6RBRQsXuwBEPdwRPv6jV8wHA9kPKFV9mjmV1vkUIcKsvRK1rWlF6GEvXH6R8cQ1IwDJg1REvygyyM5eQlzuCt1/UyvkAoGTfSS5jB8zn18rwFuA8XojBnIw4t0Ukq7cd0X0xJkK+uBokYBmwqoGKDGDE5xLuFJJLyFO74ukXZWHR5IF4oqCf6nbZ1GU9Fs/82kh4BkV5+ufv7K/9nLZv28bSuP2QL64GCVgGeGigIgMY0bmEo4TkEvLUrpzwHY/J7a66TTZ1WeGZXxsLr6AozzlmufdWMkT8kC+uBglYBng44kUGMOxa/ZSXO4KnX5QVFlOXda7siHxbDYryfCEaufdmMkT83JeABCwjVpcOEfmWtisyz6u0kadf1Ah6pi6rq0B00QFL5F4P3v752HvfFPo87jdg9jn0c18C6gdrgNhcvz98zd4fU+Rb2s5cwmBOBjZU1kSVNm5eZbzX6KLJA5Hcrg1WlB5W3H70TDP3H5beXKwoPYyWy1eZrmPR5IH4tvFilFVS+vVplH592nK/VL3IvZEx8uzDG3nvU4M/iPsNaPnW9ebeS/2NjUAaLCNWHfEi39J25hLydEdo+UVFmIV6mjPAfh0iXT483Rk8C0T0fgMALD2HflzfiwQsIzxMfBYzyyx2rX7K0x0h2tRWQi+jAGC7Dr19jGQmKMHLnSHDY/kYlt8AjyYz4bFWNno6gwAgAcsMLxM/MuIvm1m8cv5Er34K8HdHiKzvV0NLcwbYgmws7gYr4+d5fCtFMkbGJG+30mRGr++B1yABywgvE19Uzp9duYS83RFOlIeyBNnW7qm2dAzA2vh5Hd+OPrMAn+ZFfuysRQLWADxMfFHZBHbmEvIsbRRtaquh5ypgqSrj5W4QeXxRfWb18nTdthKzU5CANYhVE19UDqjduaW8ShtFm9pa6LkKWDQnvWNYDdZZdWeIyjDRytM1W6Lrx85ahgTsqlWrcMsttyAtLQ1paWkYMWIE1q9fH94uSRIWL16MrKwsdOrUCWPGjEFlZWXUMVpaWjB//nxkZmYiJSUF99xzD06cOMHnamxAZDYBYD4H1M7cUp7uCNGmtt65YyuPYtHTnJxcdRbQv68iMkz08nSps9Z1DAnY7OxsLF26FF9++SW+/PJLFBQUYNq0aWEh+sorr2DZsmV4/fXXsWfPHgQCAUyYMAFNTU3hYyxYsAAlJSUoLi7Gjh07cO7cOUyZMgVXrlzhe2WC4JVNoGX6mTWHRB3X6HGMnke0qa3F4wX9NbezaP52rDpr5b7yiOxHYkWbZB7rwC5cxuo0hgTs1KlT8YMf/AADBgzAgAED8Ktf/QpdunTB7t27IUkSfv3rX+P5559HYWEh8vPz8e677+L8+fN4//33AQANDQ1466238Oqrr2L8+PEIBoNYs2YNKioqsGnTJiEXyBte2QSickC1jsurHaCIognRprYaPDV/kY3Erd5XHsvHRB5LrXlR1g2dNL/Luk7XzPxULmN1GtM+2CtXrqC4uBjNzc0YMWIEjh49ipqaGkycODG8T3JyMkaPHo1du3YBAMrLy3Hp0qWofbKyspCfnx/ex+2IXqPKaoctO9oBimjbJ7oVoBY8um3xKG/VQu++Prk2pHsMnmu3qTUvemZdBW7NTlf8jpH8ZpHrzNmJYQFbUVGBLl26IDk5GXPnzkVJSQkGDRqEmpprP4AePXpE7d+jR4/wtpqaGnTo0AEZGRmq+yjR0tKCxsbGqD8n4blGlYgOW3a0AxTRtk9kK0A9rHbbYmlMbRWt+1qy76SmkOW9dptWet2+Ew14uXBwnMuENb/ZjnXm7MKwgM3NzcW+ffuwe/duzJs3Dw8++CAOHDgQ3p6UlBS1vyRJcZ/ForfPkiVLkJ6eHv7r1auX0WFzJ261zVMthgWAqBxQu1K2tNr2mdXaRByTBavlqTzLW9XQu29q7gwROdJ6Yzl59oKiy0TvnH7rDWtYwHbo0AH9+vXDbbfdhiVLlmDIkCFYsWIFAoFrb9dYTbS2tjas1QYCAbS2tqK+vl51HyWeffZZNDQ0hP+OHz9udNhCsFohI0oQ6vm57PDFmtXa7NAE1bBanqr3fasvNhb/pdIYRTxnummBh8+YOqffesNazoOVJAktLS3o06cPAoEANm7cGN7W2tqKrVu3YuTIkQCAYcOGoX379lH7nDp1Cvv37w/vo0RycnI4NUz+cxoeVSeiclf1/Jk8fbG8tTY7NEE1rObkis5FZklpUxqjiKCk3lj2Vp81dU6/9YY1JGCfe+45bN++HceOHUNFRQWef/55lJWVYfbs2UhKSsKCBQvw0ksvoaSkBPv378ecOXPQuXNn/PjHPwYApKen46GHHsLChQuxefNmhEIh3H///Rg8eDDGjx8v5AJFIbpnJ2Atd1XLnwnwE1S8m5KwHFOUFmM1J9eOXGTZ/z8s5wbmMWqNy0pjHb3goNoYtYLBfusNa0jAfvvtt/jJT36C3NxcjBs3Dn/+85/xxRdfYMKECQCAX/ziF1iwYAEeeeQR3Hbbbfj73/+OP/7xj0hNTQ0fY/ny5bj33nsxY8YMjBo1Cp07d8ann36Ktm3b8r0ywfAyZUXmrmr5M60eW0ZEJZYTKx7IsOTkriw9ZPr7POY8mJOB2bf31twndoxqubpWG+toBQfLq89i+q1ZhoPBvILIbsCQgH3rrbdw7NgxtLS0oLa2Fps2bQoLV+BagGvx4sU4deoULl68iK1btyI/Pz/qGB07dsTKlStRV1eH8+fP49NPP3VF0MooPE1ZUbmrdphbIiqxeDRjsYJeTm5p1WnN63FDLrLaGM0EnrTQ+x2U7DuJPpkphoPBfukNS70ILMDLlBWVu2pXbqmISiwezVjMwvLS0HJ9uCEXGYgfo6gAkt7vYGXpIS7tEr0ICVgL8NQQReWu2pVbyqPHqtFjigx46fmw9VwfTuciA/FjdKrRkNUFHL0MCVgL8HTIi0xPsSO3VESAJ5iToVvZJjJtp2h4jmk3kF1tGFnGKLtTnGo0pAbLHHi9oosErEXiV1rdaWqlVZGBHb2AHEuZJQs8Sk5jmc+hGYsVWMxfJexsw6g3xshSWqcaDSmhNwd+qOgiAcuByB6xKbmjsPnYRcMPgsgUH5ZABC8ha7XkNBanlviWMRtMsrMNI4srKvIeO9FoSA21OfBLRRcJWA7wWupChAYoo6fl8BJUIgoFRM6LHlYCXna1YWQ10eV7LGqxSb17r4bSHPiloosELAd4LnXBWwOUYdFMeD20IgoFRM0LC1YCXiKCf0rojVFGnntRi03q3XsllJ5Nv1R0kYDlgNbNNpr3KKpUlEXLcXO/WCdLaAHzAS87XRxFw3OY77GoRkNG763aqg9+qegiAcsB3nmPokpF1ap5ZOzK0Xyt9JCpH7CIslye51cLeNnp4lBblFBGDniJMsGNZhRorfoQH0DeZSqA7CQkYDnBM+9RpHkUzMnQXCbFjhzNLSZ73jq5QCLL+bUqvOx0cQRzMjSzL0r2ncT/7Pu75jGsuC5Y3RUyev0drgeQR5oKIDsJCVhO8NQINJtzWFzxgGUsvDQqvV4IXlogkfX8anNnt4tD7x5vPXQGo/tnqm636rpgcVdEojZvvALITkEClhO8e7CqmXo8Vjxg0QR5pG2Z7V+qBUtk/jWNZixWYQl4/fSdvyj++PVcDDzHzTL3Ww+dwU03qq+hZfVFayQ3Vk2L5xlAdgISsJwQ1YNVqcwQsPYGZ9HEeOTGsqTtmDGP9SLzW3SasVhFL+Cl5gLRE3o8x83qCz32jwuq23i4Lozkxio901pz5oVMAhKwHOHdg9Wq2yFUXR9XXih/NikvoKtd8OhatbwoqCtkRbgKnA54Acb6ssqICHgNDKTq76yCVVPcaG5s7PWrzZlXMglIwHKGZw9W1vJZJUG6dP1BTF+1K6q8MPaz6n+c1x0Dj8yC5UVBSz1WlWAx1XlVpynBqj3F3m+rTWSMEszJwEvT2QNOSlgV+kZyY5WuX35RjLupI5qrduJHN3dG/+6p5INNRHj2FGDJoXxybShOkCoFBlZvOxL3Wcm+k0zaBY+AgtUeq0romeo8S4BjYTXBle63lSYyZjDbjEXGqtA3asorXf+GyhpsPnYRKbmj8Ievz3umLwEJWM7wbhatFyiITRZfve0IXl+/l/n4OTd2ZjIjrQYURJnHLCXAoppz6+Wcap3f7pxelrFqIdrnH0vk8+blvgQkYAXAu1m00SYan2woZd53RelhbKis0TUjeZR0ijCPWbQj0c25/3vO9wzfbydyeuWxGslRjcTKS9Zot63I+fFyXwISsILg2SzaaKDggWnGFpCUtQM7lmnhbR6zakeiNR2j99vJnF69e6CG1ag9q6IQG8Dycl8CErCC4N0s2kigYNTg/nE/XpaxsGjePHyaZktO1WCNlovuuqVWgiyjtBChUzm9ZpqyWF1iiGWOAECS4r/n1b4EJGAFwrNZtJG3dJ/MlKg67pJ5I3XHIh9fT8vgETiyUnKqBku0XHQprVYJMqB8XU7l9JrR+nho1HpzpHYer640SwJWIDw7KSkda97ovoqfyW90eWXOYE4GsxbAonlbLaMUFfDyYimtUzm9Ipd54XFeJevOiyvNJklSrELufhobG5Geno6GhgakpaU5PRxdlm+sworSw4rbnijohycn5DIfK1Rdj6NnmtEnMyUsFJU+0/v+zopD+N3/bMI9kwrw2OShUd8LVddj+qpdmscxOm4l1u6pxjPrKlS3j83thscL+hs2AbXmGwAGBlLx0vTBwkxLM9el953pt2ZheVGQ6zhZzitqLHrnLZk3UvX+7N27F8OGDUN5eTmGDh1qaRysmJU5pMHaAM9OSpFaqdZnWt/X607EomXwMLfNlpzqoWd2H6xpEppDaea6nMrpNRPw4jEWrWYwbverGoEErA2wdFISlasZC2t3ItnnNTTnBtVj8Ri3mZJTPdyQWWDmuuxa1icWlnJmEWOJ9Ku+XDg4HC/Q86t+U9eK9FGzUFzZ6OocWIAErG2wrPxpR1WKke5EwZwM3H97b83jWR03a7CFdymtjKgovZnrsnNZn1iWFwUN58fyWk+scGg2iobnMFlh8kqzN9w5Gx8eaHZ9NRcJWJtg+fHYUZVitDuR6HGzapulVacNa8ss5u8WE8dlwcx12bmsjxJGe7iKHIsSXuwNSwLWJlh/cCJ7mWqNQy1zgHXcz5VUmH7IWcs4zWjLLObvM+sq8C8qPVytYOS6ZJ8my7I+IsYqY6QDl+ixxOLF3rCURWAzLFFbrQgqL55cG1Jc9G7uXX2xaHK8D4w12qz2fVZEzY9d47dy/sjoPEsmh6ixsp7frrHIaI1J9G+Gsgg8AosZJrqXqZkVRVnNR6vmWtHwHN1qHzPaStHwHKZGJyLLU/WuKzJwxHKNTuf02jUWGS/2hiUB6wBO9zI1uyYXa+DIqrmmV+2z5s9/M/Vj1qtmk7Hi7tCCpYpJnnuz/WZ5YrRBi1NmupttcBKwDuFkL1MrnZxYAkdWO2/paU97q8+aih6zamWi8mSN5Bdb6TfLEyOd3EQHvSjIRRjCqbxHqyWleoEjHp23WLQnMz8svSCS1eOznn8YQ34xy1hF9rsF2Bu0APqreVjFi0EuErAO4mTeI4sA0zq33jIwPPJ6WbQno/mxwDWh8TZjX1QRWR3BnAzMZswvlscqeq61YHFtAOLbBnpxAUQSsA7idN6jngDTe2hZeqBa0a5Y+uCayY+VcTJP1mh+Mc/+wkZRek5vzU6P+r8dgSYvBrkoTcsFhKrr8VrpIWxRWaJbVKMP4FpljJJfqzCYhWUz9M/5L+/8RXVpcRmr41dLKYvEbGMY1uMX5HbDfJPHV0Nt7iOJbEyjN9fL7huCwqHZ3MYXS2xTISNNhnhSvHE35r74Gn72s59j1phbbDm3WZlDAtYl6OUdihSyoep6rCw9FPfjZcltZM2XtDp+0XmsTuXJGjnvpLyAY8+Im6BuWoRh9HytooMZSpoRi4nPGu22On6WPFLAvKnsVJ6skfxiwJ5lfQh+kIB1CU4u3qcl3FnOyZofa3XJGdZgi9k8VqfyZFnn77mSCkzKC9iyrA/BBxKwLsHJFnt6wp3lnKyamJX8XtF5rE7mybIE3OTzVv/jvOZ+InOoCWOQgHURrI02eKduseQ6spyTdfxWTFnWBiqA9/JkWfuyluw7iZt7dNHdx63J94kECViXwbJ4n4icPz3zm7ViiGX8gDV3RzAnA//NmMfqtTxZ1r6sX397TncftybfJxIkYF2IlqlacLPx5ZatnhOwvkCjElbzZFnMai/myZpZxkUJu/u1EvGQgHUpaqZq6dfm1qliPadWAMVIly9Wd4HVoAxrv9cn14awbu8Jw2azkePzhNVdcFPXzqrL+tjdr5WIhwSsy1ErPhBVucN7gUYWd4HVoAyLWV2y7ySe+ugrUy8n1uOLELJ65z1Wdx57q8+qbi81uXAkwQcSsC5Gz4cmwsfGskCjiAUI7cqTBcy5JljyZEXkoRpdxkUNN3ec8jMkYF2MXjBLVIMLvS5fohYgtCtP1uy5WPJkReQqs86fHqKXIyLiIQHrYrS0P5ENLvQEd2nVacPakJvyZM2ey8lcZR6Bry0m7hthDRKwLidy7fgf3dwZzVU7Me6mjpg4KCDsnCyCxMyyNm7LkzVzLtZrELHsD2vgSwvRyxGJJFRdj3V7T2DTkWak5I3FN3WtTg9JF2r24hGUOi+JXmhOrxGJ2Q5WrA1irHawClXXo6yqFitKD+vua/RaWK5BVPMV1gYxaky/NQt39u9mexcsK6h1HrNjsUWAumn5GidX02Rp5WfmIWdp1Wfl+Haci+W4ooQsy31hwS4BZQW9l5kdqzBTNy0f4+RSGXoBL+Caz3H5xipD/j1WU1s+vhXfoahzsawKIarDFQ93AeCN7AInsml4QQLWAzi5VAbr8VeUHjacb8maJwtYj4AbOZeRLAmWZW1EdUFjLavVw80CCnAum4YHJGA9gJNLZRiNzIvKk+VRksp6LiPltU5mFgB8sgvcLKAA7dxsNy8XA5AP1lOEquvx+vq9+GRDKR6YNh6jBve3LVChtuqBEmaWLtFbNkeGh0+T9VqMBINC1fV4rqQCB2uaVPeJXP6FN2Z9svNG98Uzd7vbB6vk6xaxhI8WFORKAJyOpAJsEWwrQlD08Y2eS4bn8jmi7pfe9QzNuQG//OEgVFVV4V+ffA7/tfwlzJxwB/dx8MTJAG8kFOTyOaHqetWItZ2BCpaCASuBHTtLUnmX19rVRUyN9m21f85yz4IBXTuguXILBnTtwH0MvNHK23W77xggAesZ3BRJlaPyP/5eL9V9nllXgZ+a7OTEWpJqtkNWJLzLa+0qC1aCxZfqpUKDpesPauYwu913DJCA9Qx6DxNrQ2xeBHMycN8wdQELXAtMiVy6xUqHLKPnijynnmBkDTzx7sDFci0rSg/jd39t5HZOUWhZbMC1ZeXdHNySIQHrEXg2xOYFy1IzgLWlW1hyV+Vz2Fleq5f3a2T5F57uAvlahqn0iAWAj6ua0aHnAG7nFIGepv39fmIaz/OGBKyH0Etsd8InxWpim126hTV3FeCzDE3JvJG6xQMAW94va54q7zzZYE4GZt/eW3Of9JFF3M7HGz3XAOAN9wBAAtZzaCW2O7FEiIjcUjPHl7Ea8AvmZODJCbnM59TTnFm7iPEOVOoJoM79b8emI+4LEum5BgD3575GQgLWY2gJHKeWCGE1sc0Gdoys9AoAz5VUWJ4DIy4KvetiPRaPccuwvJjeKG903UoHelbYEwX9XJ+3GwkJWA8yKU+9VaFTS4SwrvRqNrAjr/TKYsIfrGniMgdGXBR618VyLF7jlmHJaHBbLwK9YC1LabKbIAHrQVh8rU79cFhyS+XAjpkUKyMmPI85MOKi0LsuJ/JkWe6HW/JJQ9X1mtVoXnINyJCA9SCsDn6nlghhCXw9s64inGJl1m3AEkDi6S5gCX7pXZcTebJ698MtASOtzAGvuQZkSMB6ECMNUpzQYkUv3SLDkm/K011gJPgFqF+X3XmyTi09ZAS9zAGvuQZkqBeBh2FpkPJEQT88OSHXxlFdh6UBSiQvFw5G0fAcw+dhbXRi9vixGL2uJwr6YUxu9zhB5sS4j55pxqUrV9G+bRvXrGig18OhMJiFZTP4Ny03AjV7SWD0mnw42bWetQGKjNmxsjZu4TUXRq9L7dx2j9uNrNt7Ak999JXqdjPd2XhjS7OXJUuWYPjw4UhNTUX37t1x7733oqqqKmqfOXPmICkpKervjjuiO/a0tLRg/vz5yMzMREpKCu655x6cOHHCyFCICPRMTjMrDvDCrjxWVrOb11wYvS753LFBMKfyZN2Elxtq62FIg7377rsxc+ZMDB8+HJcvX8bzzz+PiooKHDhwACkp1yZhzpw5+Pbbb/H222+Hv9ehQwfceOON4f/PmzcPn376Kd555x107doVCxcuxD/+8Q+Ul5ejbdu2uuMgDTYePS1Axu4+mjKyedonM0XXrSGPUd7fyFiN9EXl1VuW9bpimXtXX0zKC4TN9nd2HdN0O8gLM5qZFzejtbaZW/rVOuIiOH36NLp3746tW7firrvuAnBNwJ49exYff/yx4ncaGhrQrVs3/P73v0dR0bVyvZMnT6JXr174/PPPMWnSJN3zkoCNxy5TnAeix2qkzyvPRQnNuA1ix2KkabYf3AZac8bL98wDR/rBNjQ0AECUdgoAZWVl6N69OwYMGICHH34YtbXX0y/Ky8tx6dIlTJw4MfxZVlYW8vPzsWuX8kS3tLSgsbEx6o+Ixu6SUiuYGasRs57V7Ab4Nlsx4zaIHcvo/pnM+/vBbaCVmqXX39YLmNZgJUnCtGnTUF9fj+3bt4c/X7t2Lbp06YLevXvj6NGj+OUvf4nLly+jvLwcycnJeP/99/HTn/4ULS0tUcebOHEi+vTpg9/85jdx51q8eDFefPHFuM9Jg43HiPYmcgkTFoyMVSbSrNYzk41qsqzLw+gRqq5HWVWtbsMSHozN7Ya353xP+Hl4w5IBY+eKBXrY7iJ49NFH8dlnn2HHjh3IzlaP8J06dQq9e/dGcXExCgsLVQXshAkT8N3vfherV6+OO0ZLS0vU/o2NjejVqxcJWBW0fFpKOGlqml1LSkZv7EbnguWYrJg5txncJIhYYJkXN6RmRWJWwLYzc7L58+fjk08+wbZt2zSFKwD07NkTvXv3xqFD16qKAoEAWltbUV9fj4yM6w9FbW0tRo4cqXiM5ORkJCcnmxlqQrJo8sCwlrf90GldAbZ62xEkt2ujmKspGtn/aVbIrt52BH0yU1TzOiPn4r0//w3l/1w2Re+YPOYj8tx9MlOwobJGiMAtq6r1jIBl6ZYFeKffqx6GNFhJkjB//nyUlJSgrKwM/fvrl0TW1dXhO9/5Dt5880088MAD4SDXmjVrMGPGDADXtNzs7GwKcgmC9+J+IohMgjfqNohEa/y8cletwOs6Y/FKwOtf3vkL08rEbtPKbQlyPfroo1izZg3ef/99pKamoqamBjU1Nbhw4QIA4Ny5c3j66afxpz/9CceOHUNZWRmmTp2KzMxMTJ8+HQCQnp6Ohx56CAsXLsTmzZsRCoVw//33Y/DgwRg/fryR4RCMsOaIAuIW5NMjmJOBwqHZhgJUSmgFxKzkrvKC13XG4oWAV6i6nkm4uqV8lweGNNikpCTFz99++23MmTMHFy5cwL333otQKISzZ8+iZ8+eGDt2LP7jP/4DvXpdX7/p4sWL+Ld/+ze8//77uHDhAsaNG4c33ngjah8tSIM1h905olaQNT0WF4caslYXmasazMlgCrDEwjMIFomVPNpY3FDxpMXyjVWagb+Cm7th/lj7c7RZoFJZggmnckStYMWsjs0tjTSlzUb7RZnjVvNo3WZWR6IX2HJTzqsStga5CO9SNDwHR880MwUaSvadRM6NnR0JfkUSzMkIn5917DKx2m9sACuYk4GWy1cNHVNUUFB2YdiReWAnLCvEulm4WoE02ATFqPbmVImtErwCRZFmPwBT2qwI14FZzdqNLgKWzmNuHHcspMEShjCqvZVWnUZp1WlXRKutaLSRlOw7GdZw5esyqs0qHcMqZjVrtzVFYc0Ddtu4eUIaLMGtv6lTqAXECnK7MUWtZUrmXcvDLquqxfbDZ7CXIWc2lpcLB3PttRoZBNPKo3VLUxQZVl+/28atBgW5CEuYCbCIiqxbIVIgATB0TbECeXT/TCS3a4M/HlSvl9fCSFkvK7HX58bOWnY3ErcDErCEZayUdrrBdaCEXeWqLLh1jnjCKlzdVgqrBwlYggtW8k/d5jqQ4ZFTCwATB3VHy6Wr2HrojOlj8HYhuAUjgTmvCVeABCwhADPdrgB3a2o8Ol1NvzULOTd2ttwty83zZAQjVoKX3AKRONIPlvA3Zss55bLNUHV91PIobkBtddjCIFspMXAtc2BMbnfLpa5eKG/VY+2eambhOm90X08KVyuQBkvoYsbEHpvbLarsU68JixPBmtjzGtHE5NxNM2W3kXi1nyvA7m91uu8wD8hFQNiCFRNbqZQzVqg5bTazXt8jw9Iwvm8KvqlrxaLSurjtj475Lv7/sv/LdE43l7iqYaSvhRevLxYqNCBswWwSPAB8sPUrSHnXH85v6lqxelu0cFq97Qgm5QWifpB2aris1/fvi1/AM5VbkD5qFm64c3bc9tPffot7c1PwcVWz7jm90s81soKOVbj6qTOWGUiDJUxjVJs9u/09NOz8IPz/lLyxyJy6MG6/yNJJVg1XhBDWur6lBV0xoGsHFFc24sMD8UJUvtYOPQeg/Y3fAdq0ReYPFyie54mCfnhyQi6XMfOEtchBCbdmlJiFNFjCdtS0vcJgFtaF4jWc1S88jgFdnw7/f9ORZrxRHr+A5eEjR7EXtcwarig3g9r1zRvdFzMnXDt+UmY9PjwQX8wQe60A8Os/12Nb9cW4fcfkdrc8Vt5YyR+eN7qvK18YTkAaLMEFvYCRUknkur0n8NRHX8Ud68ynr6JZw/yeMSgFM//palDzgcb6/axquFrfZ7lWmVjfpZtKRa020fFDMEsNCnIRrkNPqKmV54bN7/1N+PDgubjtka4Gnm4GKxgR4E5lTWjBo+LND8EsNchFQLiOyK5Xattj+5/Gmd8Htc1vXm4Gqyhdq5Iglf26gP1dpNQEO+tChFokejBLDRKwhKPErrwa+SPVE8AAcAwngPJ4N4Mc5VfTcI+eaRYqEJS0ZgBRn60oPWxbWpqWFn/0jH6mQyzzRvfFxEF8G9n4EXIREK5Hy6TWczOoabhyHqsI1PzCaog2rc3OUSx+7aPAArkICN+i5WrQ03L1NFwRqAXn1IjND+ZN8X7lPr9zX3wNDTs/UNXyI0nEMlcekAZL+AIt/6KW9iYCteCcGrH5wbzRy8ZQ07gTWWONhTRYIqFR03JZ/Li8UQvOqaGUM8sTNQE6a/QQBHMyMBTAscvxqWaksVqHBCzhe7QCaSJQE+qShLhovWhhD0BVgEbOg91zlCiQi4AgBKGXpmV3Kakb82+9AhUaEARBCIIabhMEQbgMErAEQRCCIAFLEAQhCBKwBEEQgiABSxAEIQgSsARBEIIgAUsQBCEIErAEQRCCIAFLEAQhCBKwBEEQgiABSxAEIQgSsARBEIIgAUsQBCEIErAEQRCCIAFLEAQhCBKwBEEQgiABSxAEIQgSsARBEIIgAUsQBCEIErAEQRCCIAFLEAQhCBKwBEEQgiABSxAEIQgSsARBEIIgAUsQBCEIErAEQRCCaOf0AMwgSRIAoLGx0eGREASRCMiyRpY9rHhSwDY1NQEAevXq5fBICIJIJJqampCens68f5JkVCS7gKtXr+LkyZNITU1FUlKS08NBY2MjevXqhePHjyMtLc3p4XgOmj/z0NxZg3X+JElCU1MTsrKy0KYNu2fVkxpsmzZtkJ2d7fQw4khLS6OH3AI0f+ahubMGy/wZ0VxlKMhFEAQhCBKwBEEQgiABy4Hk5GS88MILSE5OdnoonoTmzzw0d9YQPX+eDHIRBEF4AdJgCYIgBEECliAIQhAkYAmCIARBApYgCEIQJGAZWbx4MZKSkqL+AoFAeLskSVi8eDGysrLQqVMnjBkzBpWVlQ6O2Fm2bduGqVOnIisrC0lJSfj444+jtrPMV0tLC+bPn4/MzEykpKTgnnvuwYkTJ2y8CufQm785c+bEPY933HFH1D6JOn9LlizB8OHDkZqaiu7du+Pee+9FVVVV1D52PX8kYA2Ql5eHU6dOhf8qKirC21555RUsW7YMr7/+Ovbs2YNAIIAJEyaE+yYkGs3NzRgyZAhef/11xe0s87VgwQKUlJSguLgYO3bswLlz5zBlyhRcuXLFrstwDL35A4C777476nn8/PPPo7Yn6vxt3boVjz76KHbv3o2NGzfi8uXLmDhxIpqbm8P72Pb8SQQTL7zwgjRkyBDFbVevXpUCgYC0dOnS8GcXL16U0tPTpdWrV9s0QvcCQCopKQn/n2W+zp49K7Vv314qLi4O7/P3v/9datOmjfTFF1/YNnY3EDt/kiRJDz74oDRt2jTV79D8Xae2tlYCIG3dulWSJHufP9JgDXDo0CFkZWWhT58+mDlzJo4cOQIAOHr0KGpqajBx4sTwvsnJyRg9ejR27drl1HBdC8t8lZeX49KlS1H7ZGVlIT8/n+b0n5SVlaF79+4YMGAAHn74YdTW1oa30fxdp6GhAQBw4403ArD3+SMBy8jtt9+O3/3ud9iwYQN++9vfoqamBiNHjkRdXR1qamoAAD169Ij6To8ePcLbiOuwzFdNTQ06dOiAjIwM1X0SmcmTJ+O9995DaWkpXn31VezZswcFBQVoaWkBQPMnI0kSnnrqKXz/+99Hfn4+AHufP09203KCyZMnh/89ePBgjBgxAt/97nfx7rvvhoMLsa0TJUlyRTtFt2JmvmhOr1FUVBT+d35+Pm677Tb07t0bn332GQoLC1W/l2jz99hjj+Gvf/0rduzYEbfNjuePNFiTpKSkYPDgwTh06FA4myD2zVZbWxv3liTANF+BQACtra2or69X3Ye4Ts+ePdG7d28cOnQIAM0fAMyfPx+ffPIJtmzZEtXe1M7njwSsSVpaWnDw4EH07NkTffr0QSAQwMaNG8PbW1tbsXXrVowcOdLBUboTlvkaNmwY2rdvH7XPqVOnsH//fppTBerq6nD8+HH07NkTQGLPnyRJeOyxx7Bu3TqUlpaiT58+Udttff4sBugShoULF0plZWXSkSNHpN27d0tTpkyRUlNTpWPHjkmSJElLly6V0tPTpXXr1kkVFRXSrFmzpJ49e0qNjY0Oj9wZmpqapFAoJIVCIQmAtGzZMikUCkl/+9vfJElim6+5c+dK2dnZ0qZNm6S9e/dKBQUF0pAhQ6TLly87dVm2oTV/TU1N0sKFC6Vdu3ZJR48elbZs2SKNGDFC+s53vkPzJ0nSvHnzpPT0dKmsrEw6depU+O/8+fPhfex6/kjAMlJUVCT17NlTat++vZSVlSUVFhZKlZWV4e1Xr16VXnjhBSkQCEjJycnSXXfdJVVUVDg4YmfZsmWLBCDu78EHH5QkiW2+Lly4ID322GPSjTfeKHXq1EmaMmWKVF1d7cDV2I/W/J0/f16aOHGi1K1bN6l9+/ZSTk6O9OCDD8bNTaLOn9K8AZDefvvt8D52PX/UrpAgCEIQ5IMlCIIQBAlYgiAIQZCAJQiCEAQJWIIgCEGQgCUIghAECViCIAhBkIAlCIIQBAlYgiAIQZCAJQiCEAQJWIIgCEGQgCUIghAECViCIAhB/D/YIu0W0uLDIwAAAABJRU5ErkJggg==",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -139,7 +139,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -169,7 +169,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -255,7 +255,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x303d56d40>"
+       "<matplotlib.image.AxesImage at 0x3199f6190>"
       ]
      },
      "execution_count": 8,
@@ -264,7 +264,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "id": "551aa2fd",
    "metadata": {},
    "outputs": [
@@ -315,15 +315,15 @@
        "Text(0.5, 1.0, \"MDS of Matisse's Leaves via ECT distances\")"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 800x800 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -335,7 +335,7 @@
     "col_df = pd.read_csv(\"doc_source/notebooks/Matisse/colors.csv\", header=None) \n",
     "\n",
     "scale_val = 6 # set scale value\n",
-    "plt.figure(figsize=(8,8)) # set figure dimensions\n",
+    "plt.figure(figsize=(5,5)) # set figure dimensions\n",
     "\n",
     "for i in range(len(file_names)): # for each leaf\n",
     "    shape = np.loadtxt(data_dir+file_names[i]) # get the current shape\n",
@@ -347,7 +347,8 @@
     "    plt.fill(trans_sh[:,0], trans_sh[:,1], c=col_df[0][i], lw=0) # plot shape\n",
     "    plt.gca().set_aspect(\"equal\")\n",
     "\n",
-    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")"
+    "plt.title(\"MDS of Matisse's Leaves via ECT distances\")\n",
+    "# plt.savefig(\"Matisse_MDS.png\", bbox_inches = 'tight', dpi=300) "
    ]
   },
   {
@@ -377,7 +378,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/Playing_with_Spirals.html b/docs/notebooks/Playing_with_Spirals.html
new file mode 100644
index 0000000..a11daff
--- /dev/null
+++ b/docs/notebooks/Playing_with_Spirals.html
@@ -0,0 +1,1189 @@
+
+
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="../">
+<head>
+  <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>Modified version breaking the spiral &mdash; ect 0.1.5 documentation</title>
+      <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=92fd9be5" />
+      <link rel="stylesheet" type="text/css" href="../_static/css/theme.css?v=e59714d7" />
+      <link rel="stylesheet" type="text/css" href="../_static/plot_directive.css" />
+      <link rel="stylesheet" type="text/css" href="../_static/nbsphinx-code-cells.css?v=2aa19091" />
+
+  
+    <link rel="shortcut icon" href="../_static/ECT_Logo_128x128.png"/>
+      <script src="../_static/jquery.js?v=5d32c60e"></script>
+      <script src="../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
+      <script src="../_static/documentation_options.js?v=59fadc99"></script>
+      <script src="../_static/doctools.js?v=9a2dae69"></script>
+      <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+      <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+      <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "tex2jax_ignore|mathjax_ignore|document", "processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+      <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script src="../_static/js/theme.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" /> 
+</head>
+
+<body class="wy-body-for-nav"> 
+  <div class="wy-grid-for-nav">
+    <nav data-toggle="wy-nav-shift" class="wy-nav-side">
+      <div class="wy-side-scroll">
+        <div class="wy-side-nav-search"  style="background: #cececf" >
+
+          
+          
+          <a href="../index.html" class="icon icon-home">
+            ect
+              <img src="../_static/ECT_Logo.png" class="logo" alt="Logo"/>
+          </a>
+<div role="search">
+  <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
+    <input type="text" name="q" placeholder="Search docs" aria-label="Search docs" />
+    <input type="hidden" name="check_keywords" value="yes" />
+    <input type="hidden" name="area" value="default" />
+  </form>
+</div>
+        </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
+              <p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">1. Getting Started</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../installation.html#prerequisites">1.1. Prerequisites</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../installation.html#installing-ect">1.2. Installing <cite>ect</cite></a></li>
+<li class="toctree-l2"><a class="reference internal" href="../installation.html#uninstalling-ect">1.3. Uninstalling <cite>ect</cite></a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../modules.html">2. Modules</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../embed_graph.html">2.1. Embedded graphs</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../embed_graph.html#ect.embed_graph.EmbeddedGraph"><code class="docutils literal notranslate"><span class="pre">EmbeddedGraph</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="../embed_graph.html#ect.embed_graph.create_example_graph"><code class="docutils literal notranslate"><span class="pre">create_example_graph()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="../embed_cw.html">2.2. Embedded CW complex</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../embed_cw.html#ect.embed_cw.EmbeddedCW"><code class="docutils literal notranslate"><span class="pre">EmbeddedCW</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="../embed_cw.html#ect.embed_cw.create_example_cw"><code class="docutils literal notranslate"><span class="pre">create_example_cw()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="../ect_on_graphs.html">2.3. ECT on graphs</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../ect_on_graphs.html#ect.ect_graph.ECT"><code class="docutils literal notranslate"><span class="pre">ECT</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorials.html">3. Tutorials</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html">3.1. Tutorial : ECT for embedded graphs</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html#Constructing-the-embedded-graph">3.1.1. Constructing the embedded graph</a></li>
+<li class="toctree-l3"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html#Computing-the-ECT-of-G">3.1.2. Computing the ECT of <span class="math notranslate nohighlight">\(G\)</span></a></li>
+<li class="toctree-l3"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html#SECT">3.1.3. SECT</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ECT_for_CW_Complexes.html">3.2. Tutorial: ECT for CW complexes</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Matisse/Matisse_ECT.html">3.3. ECT on Matisse’s “The Parakeet and the Mermaid”</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../contributing.html">4. Contributing</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../contributing.html#getting-started">4.1. Getting Started</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../contributing.html#contributing-guidelines">4.2. Contributing Guidelines</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#code-style-and-formatting">4.2.1. Code style and formatting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#documentation-guidelines">4.2.2. Documentation guidelines</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#testing-guidelines">4.2.3. Testing guidelines</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#issue-tracking-and-pull-requests">4.2.4. Issue tracking and pull requests</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="../contributing.html#conclusion">4.3. Conclusion</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../license.html">5. License</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../citing.html">6. Citing</a></li>
+</ul>
+
+        </div>
+      </div>
+    </nav>
+
+    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu"  style="background: #cececf" >
+          <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
+          <a href="../index.html">ect</a>
+      </nav>
+
+      <div class="wy-nav-content">
+        <div class="rst-content style-external-links">
+          <div role="navigation" aria-label="Page navigation">
+  <ul class="wy-breadcrumbs">
+      <li><a href="../index.html" class="icon icon-home" aria-label="Home"></a></li>
+      <li class="breadcrumb-item active">Modified version breaking the spiral</li>
+      <li class="wy-breadcrumbs-aside">
+            <a href="../_sources/notebooks/Playing_with_Spirals.ipynb.txt" rel="nofollow"> View page source</a>
+      </li>
+  </ul>
+  <hr/>
+</div>
+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+             
+  <div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">ect</span> <span class="kn">import</span> <span class="n">ECT</span><span class="p">,</span> <span class="n">EmbeddedGraph</span><span class="p">,</span> <span class="n">EmbeddedCW</span><span class="p">,</span><span class="n">create_example_graph</span>
+
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">matplotlib.patches</span> <span class="kn">import</span> <span class="n">Circle</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">networkx</span> <span class="k">as</span> <span class="nn">nx</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Recreating the sprial example from Arya</span>
+
+<span class="c1"># Create the graph</span>
+<span class="n">Spiral</span> <span class="o">=</span> <span class="n">EmbeddedGraph</span><span class="p">()</span>
+<span class="n">Spiral</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="mf">.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+<span class="n">Spiral</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;b&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+<span class="n">Spiral</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">.5</span><span class="p">)</span>
+<span class="n">Spiral</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;d&#39;</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.5</span><span class="p">)</span>
+<span class="n">Spiral</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;e&#39;</span><span class="p">,</span><span class="mf">1.5</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Spiral</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;f&#39;</span><span class="p">,</span><span class="o">-</span><span class="mf">1.5</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">Spiral</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;g&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mi">3</span><span class="p">,</span><span class="o">-</span><span class="mi">3</span><span class="p">)</span>
+
+<span class="n">nodelist</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">Spiral</span><span class="o">.</span><span class="n">nodes</span><span class="p">())</span>
+<span class="n">nodelist</span><span class="o">.</span><span class="n">sort</span><span class="p">()</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">nodelist</span><span class="p">)</span><span class="o">-</span><span class="mi">1</span><span class="p">):</span>
+    <span class="n">Spiral</span><span class="o">.</span><span class="n">add_edge</span><span class="p">(</span><span class="n">nodelist</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">nodelist</span><span class="p">[</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">])</span>
+
+<span class="n">Spiral</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">angle_labels_circle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">edges_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+&lt;Axes: &gt;
+</pre></div></div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<img alt="../_images/notebooks_Playing_with_Spirals_1_1.png" src="../_images/notebooks_Playing_with_Spirals_1_1.png" />
+</div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">Spiral</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">angle_labels_circle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">edges_only</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+&lt;Axes: &gt;
+</pre></div></div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<img alt="../_images/notebooks_Playing_with_Spirals_2_1.png" src="../_images/notebooks_Playing_with_Spirals_2_1.png" />
+</div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">All_Angles</span> <span class="o">=</span> <span class="n">Spiral</span><span class="o">.</span><span class="n">get_all_angles</span><span class="p">(</span><span class="s1">&#39;dict&#39;</span><span class="p">,</span> <span class="n">num_rounding_digits</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">opposites</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">keys</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">All_Angles</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+<span class="n">keys</span><span class="o">.</span><span class="n">sort</span><span class="p">()</span>
+
+<span class="n">pd_table</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Angle&#39;</span><span class="p">,</span> <span class="s1">&#39;Swapped Verts&#39;</span><span class="p">,</span> <span class="s1">&#39;Sorted list&#39;</span><span class="p">])</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;Angle&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">keys</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;Swapped Verts&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">All_Angles</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">]</span>
+
+
+
+<span class="n">pd_table</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;Angle&#39;</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;Sorted list&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;&#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">Spiral</span><span class="o">.</span><span class="n">sort_vertices</span><span class="p">(</span><span class="n">key</span><span class="p">))</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">]</span>
+<span class="n">pd_table</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
+</pre></div>
+</div>
+<div class="output_area rendered_html docutils container">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Angle</th>
+      <th>Swapped Verts</th>
+      <th>Sorted list</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>0.00</td>
+      <td>[(c, f)]</td>
+      <td>gcfabed</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>0.32</td>
+      <td>[(d, e)]</td>
+      <td>gcfabed</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>0.52</td>
+      <td>[(b, d)]</td>
+      <td>gcfadbe</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>0.79</td>
+      <td>[(a, d), (f, a), (f, d)]</td>
+      <td>gcdafbe</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>1.15</td>
+      <td>[(c, d)]</td>
+      <td>gcdafbe</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>1.19</td>
+      <td>[(b, f)]</td>
+      <td>gdcafbe</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>1.57</td>
+      <td>[(e, f)]</td>
+      <td>gdcabfe</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>1.65</td>
+      <td>[(d, g)]</td>
+      <td>gdcabef</td>
+    </tr>
+    <tr>
+      <th>8</th>
+      <td>1.82</td>
+      <td>[(a, c)]</td>
+      <td>dgacbef</td>
+    </tr>
+    <tr>
+      <th>9</th>
+      <td>2.11</td>
+      <td>[(b, c)]</td>
+      <td>dgacbef</td>
+    </tr>
+    <tr>
+      <th>10</th>
+      <td>2.27</td>
+      <td>[(c, e)]</td>
+      <td>dgabecf</td>
+    </tr>
+    <tr>
+      <th>11</th>
+      <td>2.28</td>
+      <td>[(a, g)]</td>
+      <td>dagbecf</td>
+    </tr>
+    <tr>
+      <th>12</th>
+      <td>2.36</td>
+      <td>[(b, g)]</td>
+      <td>dabgecf</td>
+    </tr>
+    <tr>
+      <th>13</th>
+      <td>2.41</td>
+      <td>[(e, g)]</td>
+      <td>dabegcf</td>
+    </tr>
+    <tr>
+      <th>14</th>
+      <td>2.60</td>
+      <td>[(c, g)]</td>
+      <td>dabegcf</td>
+    </tr>
+    <tr>
+      <th>15</th>
+      <td>2.68</td>
+      <td>[(a, b), (a, e), (b, e)]</td>
+      <td>debacgf</td>
+    </tr>
+    <tr>
+      <th>16</th>
+      <td>2.85</td>
+      <td>[(f, g)]</td>
+      <td>debacgf</td>
+    </tr>
+    <tr>
+      <th>17</th>
+      <td>3.14</td>
+      <td>[(c, f)]</td>
+      <td>debacfg</td>
+    </tr>
+    <tr>
+      <th>18</th>
+      <td>3.46</td>
+      <td>[(d, e)]</td>
+      <td>debafcg</td>
+    </tr>
+    <tr>
+      <th>19</th>
+      <td>3.66</td>
+      <td>[(b, d)]</td>
+      <td>edbafcg</td>
+    </tr>
+    <tr>
+      <th>20</th>
+      <td>3.93</td>
+      <td>[(a, d), (f, a), (f, d)]</td>
+      <td>ebfadcg</td>
+    </tr>
+    <tr>
+      <th>21</th>
+      <td>4.29</td>
+      <td>[(c, d)]</td>
+      <td>ebfadcg</td>
+    </tr>
+    <tr>
+      <th>22</th>
+      <td>4.33</td>
+      <td>[(b, f)]</td>
+      <td>ebfacdg</td>
+    </tr>
+    <tr>
+      <th>23</th>
+      <td>4.71</td>
+      <td>[(e, f)]</td>
+      <td>efbacdg</td>
+    </tr>
+    <tr>
+      <th>24</th>
+      <td>4.79</td>
+      <td>[(d, g)]</td>
+      <td>febacdg</td>
+    </tr>
+    <tr>
+      <th>25</th>
+      <td>4.96</td>
+      <td>[(a, c)]</td>
+      <td>febcagd</td>
+    </tr>
+    <tr>
+      <th>26</th>
+      <td>5.25</td>
+      <td>[(b, c)]</td>
+      <td>febcagd</td>
+    </tr>
+    <tr>
+      <th>27</th>
+      <td>5.41</td>
+      <td>[(c, e)]</td>
+      <td>fcebagd</td>
+    </tr>
+    <tr>
+      <th>28</th>
+      <td>5.42</td>
+      <td>[(a, g)]</td>
+      <td>fcebagd</td>
+    </tr>
+    <tr>
+      <th>29</th>
+      <td>5.50</td>
+      <td>[(b, g)]</td>
+      <td>fcegbad</td>
+    </tr>
+    <tr>
+      <th>30</th>
+      <td>5.55</td>
+      <td>[(e, g)]</td>
+      <td>fcegbad</td>
+    </tr>
+    <tr>
+      <th>31</th>
+      <td>5.74</td>
+      <td>[(c, g)]</td>
+      <td>fcgebad</td>
+    </tr>
+    <tr>
+      <th>32</th>
+      <td>5.82</td>
+      <td>[(a, b), (a, e), (b, e)]</td>
+      <td>fgcabed</td>
+    </tr>
+    <tr>
+      <th>33</th>
+      <td>5.99</td>
+      <td>[(f, g)]</td>
+      <td>fgcabed</td>
+    </tr>
+  </tbody>
+</table>
+</div></div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">All_Angles</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+dict_keys([5.82, 1.82, 3.93, 2.28, 2.11, 3.66, 1.19, 2.36, 4.29, 5.41, 0.0, 2.6, 0.32, 1.65, 1.57, 2.41, 2.85, 2.68, 4.96, 0.79, 5.42, 5.25, 0.52, 4.33, 5.5, 1.15, 2.27, 3.14, 5.74, 3.46, 4.79, 4.71, 5.55, 5.99])
+</pre></div></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">All_Angles</span> <span class="o">=</span> <span class="n">Spiral</span><span class="o">.</span><span class="n">get_all_angles</span><span class="p">(</span><span class="s1">&#39;dict&#39;</span><span class="p">,</span> <span class="n">num_rounding_digits</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># add pi + angle for all angles</span>
+<span class="n">All_Angles_2pi</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">All_Angles</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
+    <span class="n">All_Angles_2pi</span><span class="p">[</span><span class="nb">round</span><span class="p">(</span><span class="n">key</span><span class="p">,</span><span class="mi">2</span><span class="p">)]</span> <span class="o">=</span> <span class="n">All_Angles</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+    <span class="n">other_key</span> <span class="o">=</span> <span class="p">(</span><span class="n">key</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">)</span> <span class="o">%</span> <span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span>
+    <span class="n">other_key</span> <span class="o">=</span> <span class="nb">round</span><span class="p">(</span><span class="n">other_key</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+    <span class="n">All_Angles_2pi</span><span class="p">[</span><span class="n">other_key</span><span class="p">]</span> <span class="o">=</span> <span class="n">All_Angles</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+
+<span class="n">keys</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">All_Angles_2pi</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+<span class="n">keys</span><span class="o">.</span><span class="n">sort</span><span class="p">()</span>
+
+<span class="n">pd_table</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;angle&#39;</span><span class="p">,</span> <span class="s1">&#39;vertex_pair(s)_swapped&#39;</span><span class="p">,</span> <span class="s1">&#39;sorted_order_at_next_midpoint&#39;</span><span class="p">])</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;angle&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">keys</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;vertex_pair(s)_swapped&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">All_Angles_2pi</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">]</span>
+
+<span class="c1"># sort the vertex pairs at the midpoint</span>
+
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">keys</span><span class="p">)</span><span class="o">-</span><span class="mi">1</span><span class="p">):</span>
+    <span class="n">angle</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">([</span><span class="n">keys</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">keys</span><span class="p">[</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">]])</span>
+    <span class="n">sorted_order</span> <span class="o">=</span> <span class="n">Spiral</span><span class="o">.</span><span class="n">sort_vertices</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+    <span class="n">pd_table</span><span class="o">.</span><span class="n">at</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="s1">&#39;sorted_order_at_next_midpoint&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">sorted_order</span>
+
+<span class="n">angle</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">([</span><span class="n">keys</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">+</span><span class="mi">2</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">])</span>
+<span class="n">sorted_order</span> <span class="o">=</span> <span class="n">Spiral</span><span class="o">.</span><span class="n">sort_vertices</span><span class="p">(</span><span class="n">angle</span><span class="p">)</span>
+<span class="n">pd_table</span><span class="o">.</span><span class="n">at</span><span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="n">keys</span><span class="p">)</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="s1">&#39;sorted_order_at_next_midpoint&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">sorted_order</span>
+
+<span class="n">pd_table</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+</pre></div>
+</div>
+<div class="output_area rendered_html docutils container">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>angle</th>
+      <th>vertex_pair(s)_swapped</th>
+      <th>sorted_order_at_next_midpoint</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>0.00</td>
+      <td>[(c, f)]</td>
+      <td>[g, c, f, a, b, e, d]</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>0.32</td>
+      <td>[(d, e)]</td>
+      <td>[g, c, f, a, d, b, e]</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>1.04</td>
+      <td>[(b, f)]</td>
+      <td>[g, c, d, a, f, b, e]</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>1.19</td>
+      <td>[(b, f)]</td>
+      <td>[g, d, c, a, b, f, e]</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>1.57</td>
+      <td>[(e, f)]</td>
+      <td>[g, d, c, a, b, e, f]</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>1.65</td>
+      <td>[(d, g)]</td>
+      <td>[d, g, c, a, b, e, f]</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>1.73</td>
+      <td>[(c, e)]</td>
+      <td>[d, g, c, a, b, e, f]</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>1.82</td>
+      <td>[(a, c)]</td>
+      <td>[d, g, a, c, b, e, f]</td>
+    </tr>
+    <tr>
+      <th>8</th>
+      <td>2.11</td>
+      <td>[(b, c)]</td>
+      <td>[d, g, a, b, c, e, f]</td>
+    </tr>
+    <tr>
+      <th>9</th>
+      <td>2.24</td>
+      <td>[(e, f)]</td>
+      <td>[d, g, a, b, c, e, f]</td>
+    </tr>
+    <tr>
+      <th>10</th>
+      <td>2.28</td>
+      <td>[(a, g)]</td>
+      <td>[d, a, g, b, e, c, f]</td>
+    </tr>
+    <tr>
+      <th>11</th>
+      <td>2.36</td>
+      <td>[(b, g)]</td>
+      <td>[d, a, b, g, e, c, f]</td>
+    </tr>
+    <tr>
+      <th>12</th>
+      <td>2.41</td>
+      <td>[(e, g)]</td>
+      <td>[d, a, b, e, g, c, f]</td>
+    </tr>
+    <tr>
+      <th>13</th>
+      <td>2.49</td>
+      <td>[(d, g)]</td>
+      <td>[d, a, b, e, g, c, f]</td>
+    </tr>
+    <tr>
+      <th>14</th>
+      <td>2.52</td>
+      <td>[(b, d)]</td>
+      <td>[d, a, b, e, g, c, f]</td>
+    </tr>
+    <tr>
+      <th>15</th>
+      <td>2.60</td>
+      <td>[(c, g)]</td>
+      <td>[d, e, b, a, c, g, f]</td>
+    </tr>
+    <tr>
+      <th>16</th>
+      <td>2.85</td>
+      <td>[(f, g)]</td>
+      <td>[d, e, b, a, c, f, g]</td>
+    </tr>
+    <tr>
+      <th>17</th>
+      <td>3.02</td>
+      <td>[(a, c)]</td>
+      <td>[d, e, b, a, f, c, g]</td>
+    </tr>
+    <tr>
+      <th>18</th>
+      <td>3.37</td>
+      <td>[(a, d), (f, a), (f, d)]</td>
+      <td>[e, d, b, a, f, c, g]</td>
+    </tr>
+    <tr>
+      <th>19</th>
+      <td>3.59</td>
+      <td>[(c, f)]</td>
+      <td>[e, d, b, a, f, c, g]</td>
+    </tr>
+    <tr>
+      <th>20</th>
+      <td>3.66</td>
+      <td>[(b, d)]</td>
+      <td>[e, b, d, a, f, c, g]</td>
+    </tr>
+    <tr>
+      <th>21</th>
+      <td>3.93</td>
+      <td>[(b, c)]</td>
+      <td>[e, b, f, a, d, c, g]</td>
+    </tr>
+    <tr>
+      <th>22</th>
+      <td>4.29</td>
+      <td>[(c, d)]</td>
+      <td>[e, f, b, a, c, d, g]</td>
+    </tr>
+    <tr>
+      <th>23</th>
+      <td>4.47</td>
+      <td>[(a, g)]</td>
+      <td>[e, f, b, a, c, d, g]</td>
+    </tr>
+    <tr>
+      <th>24</th>
+      <td>4.50</td>
+      <td>[(c, d)]</td>
+      <td>[e, f, b, a, c, d, g]</td>
+    </tr>
+    <tr>
+      <th>25</th>
+      <td>4.59</td>
+      <td>[(d, e)]</td>
+      <td>[e, f, b, a, c, d, g]</td>
+    </tr>
+    <tr>
+      <th>26</th>
+      <td>4.72</td>
+      <td>[(b, g)]</td>
+      <td>[f, e, b, a, c, d, g]</td>
+    </tr>
+    <tr>
+      <th>27</th>
+      <td>4.87</td>
+      <td>[(e, g)]</td>
+      <td>[f, e, b, c, a, g, d]</td>
+    </tr>
+    <tr>
+      <th>28</th>
+      <td>5.41</td>
+      <td>[(c, e)]</td>
+      <td>[f, c, e, b, g, a, d]</td>
+    </tr>
+    <tr>
+      <th>29</th>
+      <td>5.47</td>
+      <td>[(c, g)]</td>
+      <td>[f, c, g, e, b, a, d]</td>
+    </tr>
+    <tr>
+      <th>30</th>
+      <td>5.82</td>
+      <td>[(a, b), (a, e), (b, e)]</td>
+      <td>[g, f, c, a, b, e, d]</td>
+    </tr>
+    <tr>
+      <th>31</th>
+      <td>6.26</td>
+      <td>[(f, g)]</td>
+      <td>[g, f, c, a, b, e, d]</td>
+    </tr>
+  </tbody>
+</table>
+</div></div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">nodelist</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+[&#39;a&#39;, &#39;b&#39;, &#39;c&#39;, &#39;d&#39;, &#39;e&#39;, &#39;f&#39;, &#39;g&#39;]
+</pre></div></div>
+</div>
+<section id="Modified-version-breaking-the-spiral">
+<h1>Modified version breaking the spiral<a class="headerlink" href="#Modified-version-breaking-the-spiral" title="Link to this heading"></a></h1>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[11]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Modified version with vertex added between C and D</span>
+
+<span class="c1"># Create the graph</span>
+<span class="n">G</span> <span class="o">=</span> <span class="n">EmbeddedGraph</span><span class="p">()</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="mf">.5</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;b&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">.5</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;X&#39;</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;d&#39;</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="o">-</span><span class="mf">2.5</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;e&#39;</span><span class="p">,</span><span class="mf">1.5</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;f&#39;</span><span class="p">,</span><span class="o">-</span><span class="mf">1.5</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;g&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mi">3</span><span class="p">,</span><span class="o">-</span><span class="mi">3</span><span class="p">)</span>
+
+<span class="n">nodelist</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;b&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span><span class="s1">&#39;X&#39;</span><span class="p">,</span>  <span class="s1">&#39;d&#39;</span><span class="p">,</span> <span class="s1">&#39;e&#39;</span><span class="p">,</span> <span class="s1">&#39;f&#39;</span><span class="p">,</span> <span class="s1">&#39;g&#39;</span><span class="p">]</span>
+<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">nodelist</span><span class="p">)</span><span class="o">-</span><span class="mi">1</span><span class="p">):</span>
+    <span class="n">G</span><span class="o">.</span><span class="n">add_edge</span><span class="p">(</span><span class="n">nodelist</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">nodelist</span><span class="p">[</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">])</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">G</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">angle_labels_circle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">edges_only</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">)</span>
+<span class="c1"># remove axes</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<img alt="../_images/notebooks_Playing_with_Spirals_11_0.png" src="../_images/notebooks_Playing_with_Spirals_11_0.png" />
+</div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">G</span><span class="o">.</span><span class="n">get_all_angles</span><span class="p">()[</span><span class="mi">0</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+&lt;matplotlib.colorbar.Colorbar at 0x30be90c90&gt;
+</pre></div></div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<img alt="../_images/notebooks_Playing_with_Spirals_12_1.png" src="../_images/notebooks_Playing_with_Spirals_12_1.png" />
+</div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">All_Angles</span> <span class="o">=</span> <span class="n">G</span><span class="o">.</span><span class="n">get_all_angles</span><span class="p">(</span><span class="s1">&#39;dict&#39;</span><span class="p">,</span> <span class="n">num_rounding_digits</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">opposites</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
+<span class="n">keys</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">All_Angles</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
+<span class="n">keys</span><span class="o">.</span><span class="n">sort</span><span class="p">()</span>
+
+<span class="n">pd_table</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Angle&#39;</span><span class="p">,</span> <span class="s1">&#39;Swapped Verts&#39;</span><span class="p">,</span> <span class="s1">&#39;Sorted list&#39;</span><span class="p">])</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;Angle&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">keys</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;Swapped Verts&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">All_Angles</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">]</span>
+
+
+
+<span class="n">pd_table</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;Angle&#39;</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">pd_table</span><span class="p">[</span><span class="s1">&#39;Sorted list&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;&#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">G</span><span class="o">.</span><span class="n">sort_vertices</span><span class="p">(</span><span class="n">key</span><span class="p">))</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">keys</span><span class="p">]</span>
+<span class="n">pd_table</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+</pre></div>
+</div>
+<div class="output_area rendered_html docutils container">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>Angle</th>
+      <th>Swapped Verts</th>
+      <th>Sorted list</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>0.00</td>
+      <td>[(c, f), (X, e)]</td>
+      <td>gcfabXed</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>0.25</td>
+      <td>[(b, X)]</td>
+      <td>gcfaXbed</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>0.32</td>
+      <td>[(d, e)]</td>
+      <td>gcfaXbed</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>0.52</td>
+      <td>[(b, d)]</td>
+      <td>gcfaXdbe</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>0.79</td>
+      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>
+      <td>gcdXafbe</td>
+    </tr>
+    <tr>
+      <th>5</th>
+      <td>1.15</td>
+      <td>[(c, d)]</td>
+      <td>gcdXafbe</td>
+    </tr>
+    <tr>
+      <th>6</th>
+      <td>1.19</td>
+      <td>[(b, f)]</td>
+      <td>gdcXafbe</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>1.41</td>
+      <td>[(c, X)]</td>
+      <td>gdXcabfe</td>
+    </tr>
+    <tr>
+      <th>8</th>
+      <td>1.57</td>
+      <td>[(e, f)]</td>
+      <td>gdXcabfe</td>
+    </tr>
+    <tr>
+      <th>9</th>
+      <td>1.65</td>
+      <td>[(d, g)]</td>
+      <td>gdXcabef</td>
+    </tr>
+    <tr>
+      <th>10</th>
+      <td>1.82</td>
+      <td>[(a, c)]</td>
+      <td>dgXacbef</td>
+    </tr>
+    <tr>
+      <th>11</th>
+      <td>1.99</td>
+      <td>[(X, g)]</td>
+      <td>dXgacbef</td>
+    </tr>
+    <tr>
+      <th>12</th>
+      <td>2.11</td>
+      <td>[(b, c)]</td>
+      <td>dXgacbef</td>
+    </tr>
+    <tr>
+      <th>13</th>
+      <td>2.27</td>
+      <td>[(c, e)]</td>
+      <td>dXgabecf</td>
+    </tr>
+    <tr>
+      <th>14</th>
+      <td>2.28</td>
+      <td>[(a, g)]</td>
+      <td>dXagbecf</td>
+    </tr>
+    <tr>
+      <th>15</th>
+      <td>2.36</td>
+      <td>[(b, g)]</td>
+      <td>dXabgecf</td>
+    </tr>
+    <tr>
+      <th>16</th>
+      <td>2.41</td>
+      <td>[(e, g)]</td>
+      <td>dXabegcf</td>
+    </tr>
+    <tr>
+      <th>17</th>
+      <td>2.60</td>
+      <td>[(c, g)]</td>
+      <td>dXabegcf</td>
+    </tr>
+    <tr>
+      <th>18</th>
+      <td>2.68</td>
+      <td>[(a, b), (a, e), (b, e)]</td>
+      <td>dXebacgf</td>
+    </tr>
+    <tr>
+      <th>19</th>
+      <td>2.85</td>
+      <td>[(f, g)]</td>
+      <td>dXebacgf</td>
+    </tr>
+    <tr>
+      <th>20</th>
+      <td>3.14</td>
+      <td>[(c, f), (X, e)]</td>
+      <td>dXebacfg</td>
+    </tr>
+    <tr>
+      <th>21</th>
+      <td>3.39</td>
+      <td>[(b, X)]</td>
+      <td>debXafcg</td>
+    </tr>
+    <tr>
+      <th>22</th>
+      <td>3.46</td>
+      <td>[(d, e)]</td>
+      <td>debXafcg</td>
+    </tr>
+    <tr>
+      <th>23</th>
+      <td>3.66</td>
+      <td>[(b, d)]</td>
+      <td>edbXafcg</td>
+    </tr>
+    <tr>
+      <th>24</th>
+      <td>3.93</td>
+      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>
+      <td>ebfaXdcg</td>
+    </tr>
+    <tr>
+      <th>25</th>
+      <td>4.29</td>
+      <td>[(c, d)]</td>
+      <td>ebfaXdcg</td>
+    </tr>
+    <tr>
+      <th>26</th>
+      <td>4.33</td>
+      <td>[(b, f)]</td>
+      <td>ebfaXcdg</td>
+    </tr>
+    <tr>
+      <th>27</th>
+      <td>4.55</td>
+      <td>[(c, X)]</td>
+      <td>efbacXdg</td>
+    </tr>
+    <tr>
+      <th>28</th>
+      <td>4.71</td>
+      <td>[(e, f)]</td>
+      <td>efbacXdg</td>
+    </tr>
+    <tr>
+      <th>29</th>
+      <td>4.79</td>
+      <td>[(d, g)]</td>
+      <td>febacXdg</td>
+    </tr>
+    <tr>
+      <th>30</th>
+      <td>4.96</td>
+      <td>[(a, c)]</td>
+      <td>febcaXgd</td>
+    </tr>
+    <tr>
+      <th>31</th>
+      <td>5.13</td>
+      <td>[(X, g)]</td>
+      <td>febcaXgd</td>
+    </tr>
+    <tr>
+      <th>32</th>
+      <td>5.25</td>
+      <td>[(b, c)]</td>
+      <td>febcagXd</td>
+    </tr>
+    <tr>
+      <th>33</th>
+      <td>5.41</td>
+      <td>[(c, e)]</td>
+      <td>fcebagXd</td>
+    </tr>
+    <tr>
+      <th>34</th>
+      <td>5.42</td>
+      <td>[(a, g)]</td>
+      <td>fcebagXd</td>
+    </tr>
+    <tr>
+      <th>35</th>
+      <td>5.50</td>
+      <td>[(b, g)]</td>
+      <td>fcegbaXd</td>
+    </tr>
+    <tr>
+      <th>36</th>
+      <td>5.55</td>
+      <td>[(e, g)]</td>
+      <td>fcegbaXd</td>
+    </tr>
+    <tr>
+      <th>37</th>
+      <td>5.74</td>
+      <td>[(c, g)]</td>
+      <td>fcgebaXd</td>
+    </tr>
+    <tr>
+      <th>38</th>
+      <td>5.82</td>
+      <td>[(a, b), (a, e), (b, e)]</td>
+      <td>fgcabeXd</td>
+    </tr>
+    <tr>
+      <th>39</th>
+      <td>5.99</td>
+      <td>[(f, g)]</td>
+      <td>fgcabeXd</td>
+    </tr>
+  </tbody>
+</table>
+</div></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>
+</pre></div>
+</div>
+</div>
+</section>
+
+
+           </div>
+          </div>
+          <footer>
+
+  <hr/>
+
+  <div role="contentinfo">
+    <p>&#169; Copyright 2025, MunchLab.</p>
+  </div>
+
+  Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
+    <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
+
+</footer>
+        </div>
+      </div>
+    </section>
+  </div>
+  <script>
+      jQuery(function () {
+          SphinxRtdTheme.Navigation.enable(true);
+      });
+  </script>
+    <!-- Theme Analytics -->
+    <script async src="https://www.googletagmanager.com/gtag/js?id=UA-XXXXXXX-1"></script>
+    <script>
+      window.dataLayer = window.dataLayer || [];
+      function gtag(){dataLayer.push(arguments);}
+      gtag('js', new Date());
+
+      gtag('config', 'UA-XXXXXXX-1', {
+          'anonymize_ip': false,
+      });
+    </script> 
+
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/notebooks/Playing_with_Spirals.ipynb b/docs/notebooks/Playing_with_Spirals.ipynb
new file mode 100644
index 0000000..3b1339f
--- /dev/null
+++ b/docs/notebooks/Playing_with_Spirals.ipynb
@@ -0,0 +1,1204 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ect import ECT, EmbeddedGraph, EmbeddedCW,create_example_graph\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle\n",
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAGdCAYAAAC/5RwpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAABwlElEQVR4nO3dd1hT1/8H8HdC2LIEQUBQEKkKogKKW1HrFle1WrRqHXWvurVVf7airaNq3QNH3W0doHWA2zpRcdStDNlLpkBIzu8PS76ijIBJThI+r+fJ82jGvW+i5JN77rmfI2CMMRBCCCEcCXkHIIQQQqgYEUII4Y6KESGEEO6oGBFCCOGOihEhhBDuqBgRQgjhjooRIYQQ7qgYEUII4U7EO0BppFIpYmNjYWJiAoFAwDsOIYSQcmKMITMzE3Z2dhAKSz7+UetiFBsbCwcHB94xCCGEfKLo6GjUqFGjxMfVuhiZmJgAePdDmJqack5DCCGkvDIyMuDg4CD7PC+JWhejwqE5U1NTKkaEEKLByjrVQhMYCCGEcEfFiBBCCHdUjAghhHBHxYgQQgh3VIwIIYRwR8WIEEIId1SMCCGEcEfFiBBCCHdUjAghhHBHxYgQQgh3VIwIIYRwR8WIEEIId1SMCCGEcEfFiBBCCHdUjAghhHBHxYgQQgh3VIwIIYRwR8WIEBVKS0vjHYEQtUTFiBAV6tChAwBgwIABnJMQol5EvAMQUpm8ffsW169fx/3793H//n0wxoo87uHhwSkZIXwpvRjFxMRg1qxZ+Pvvv5GTkwMXFxcEBgbC29tb2bsmRO1MmTIFw4cPx8uXL+Hn51fkMYFAgJcvX3JKRghfAvbhVzMFSktLQ+PGjeHr64uxY8eiWrVqePbsGWrXro3atWuX+fqMjAyYmZkhPT0dpqamyopJiMr1798fa9aswePHj+Hr6wuxWAypVAp9fX3e0QhRKHk/x5V6ZLRs2TI4ODggMDBQdp+Tk5Myd0mIRvjyyy/RrFkzCIVCvHr1Cv/++y/mzJmDEydO8I5GCBdKncBw7NgxeHt7o3///rC2tkbjxo2xZcuWEp+fl5eHjIyMIjdCtFFAQABu374Nc3NzAEDDhg0RGRnJNxQhHCm1GL18+RIbNmxAnTp1cOrUKYwdOxaTJk3Czp07i31+QEAAzMzMZDcHBwdlxiOEGx0dHVhaWha5T09Pj1MaQvhTajGSSqXw9PTEkiVL0LhxY4wePRqjRo3Cxo0bi33+nDlzkJ6eLrtFR0crMx4h3JiYmCAhIQECgQAAEBoaiqpVq3JORQg/Sj1nZGtri/r16xe5r169evjzzz+Lfb6+vj6dwCWVwrJly9C1a1e8fPkSrVq1wqtXr3D8+HHesQjhRqnFqGXLlnjy5EmR+54+fYqaNWsqc7eEqD1vb2+cO3cO//zzDxhjaNGihez8ESGVkVKL0dSpU9GiRQssWbIEAwYMwI0bN7B582Zs3rxZmbslRCOYmZmha9euvGMQohaUes6oSZMmOHz4MPbt2wd3d3csXrwYv/76K/z9/ZW5W0KIBnj79i0kEgnvGERNKPWi109FF70Sor0mTJiAhg0bon379nB0dISuri7vSEQJ1OKiV0IIKY5YLIa9vT1+//13BAcHw9vbG3379oWzszMMDQ15xyMc0JERIYSbnTt3YteuXXj06BGsra3Rrl079O/fH3Xr1v3oOiyimeT9HKclJAghXGRnZ2Pt2rXYvn07YmNjsWHDBly4cAGdOnXClStXeMcjKkbFiBDCxenTp2Fubo6aNWtCIpGgefPmOHjwILp3745mzZrxjkdUjIoRIYSLJk2aIDc3F7t27YKOjg4A4NSpU6hWrRqsra05pyOqRsWIfLLLly/zjkA0ROFU7qtXryI8PBz+/v749ddf4enpiZEjR2Lnzp0YOHAg55SEBypGpMJiY2Ph6emJ4cOHIyUl5aNVSwn5UOER0KxZsyCRSDB27FgcOXIEM2fOhJWVFQ4cOIDWrVtzTkl4oGJEyk0sFmP27NmoUaMGfH198ezZM1haWsqafhJSnMIvK7du3YJYLIafnx8YY3BwcMDAgQPh5uYGExMTzikJL1SMSLmcPn0aZmZmiIiIQEBAADIzM3Hq1CkAoKvpSakKv6xkZWXB3d1ddp9AIMCdO3ewYsUKVKtWjWdEwhEVIyKXgoICNGzYEF27dsW+ffuwf/9+zJo1C/369cO8efMA/G8IhpDSNGzYEBcuXMCQIUNw69YtZGdnY/ny5Rg6dCjvaIQjKkZELiKRCPPmzcPs2bPRq1cv2f3Z2dlwcXFBbm4ux3REk1hYWCA0NBQ2NjaYMGECvLy8YGdnh3HjxvGORjiiDgykXLy9vbF27VrUr18fe/fuRWBgIIYPH46xY8fyjkY0TE5ODvLz85GamgpnZ2fecYiSyPs5TsWIlMuBAwewc+dOXL9+HX5+fmjZsiVGjhyJgoICiETU6pAQUhQVI6I0SUlJSE5OhoODAy5fvoxr165h586d+Oqrr+Dn5wcfHx9IJBI6h1QGxhhycnIAAEZGRjQbkWgl6k1HlKZatWqoV68eHj9+jKVLlyI+Ph7r1q2Dk5MTZsyYAYAmM8gjJycHVapUQZUqVWRFiZDKiooRqbAjR46gcePG2LhxI7p164aRI0fC0tISa9eu5R2NEKJhqBiRCnv06BHat28PAMjMzAQALF++HDVr1qRuDISQcqFiRCps0KBBWL58OQDIrpyvWbMmunfvTuc/CCHlQsWIVNgXX3wBJycnBAcHo6CgAMC765HofBEhpLxoLi75JL/99huysrJoWjch5JPQJwj5JIWzwQgh5FPQMB0hhBDuqBgRQgjhjooRIYQQ7qgYEUII4Y6KESFEKdatW4ejR4/SootELjSbjhAlys3NxdOnTxEbG4usrCyIxWLo6OhgwIABRZ4XGBgIY2NjiEQi+Pr6okaNGoiOjkZqaipsbW1hZWUFoVBzvjumpaVh5syZyMnJwblz59CuXTvekYiao2JESAWkpaXB0NAQBgYGuHLlCs6dO4fY2FjExcUhNjYW3bt3xw8//ID79++jadOmRV5rbm7+UTGaOHGi7M/BwcGoUaMGtm/fjoULFwJ4dzFx9erVMXjwYAQEBCAtLQ1r166Fra0t7OzsYGtri5o1a8LS0lLpP7s8tmzZgpycHHh4eKBt27a84xANQMWIEDmcP38e165dQ1hYGMLCwvDq1SucOXMGHTt2REhICNatWycrCu7u7nB1dQUAuLm54dq1a7C1tYWpqSlEIlGxFwhnZmbC0NCwyLpQ48ePR5cuXRAXFycrcvXr1wcAxMXFYf369UhMTJT1AdTX10dmZiZ0dXWxe/duWFtbw8vLC1ZWVip6l94Ri8VYs2YNAGDq1KnUGorIhdYzIuQ9qampuH37Nm7duoX79+9j9+7dEAqFaN68OR4+fAhPT094eXnBy8sLn3/+OapVqwbGWIU+cLOzs2UXDGdlZcHY2Ljc2ygoKEBCQgLi4uKQkpKCzp07gzGGmjVrIjo6GgDg6OgILy8v/PLLL6hduzbEYjF0dXXLvS957d27F/7+/rCxsUFkZCT09fWVti+i/uT9HKcjI1KpFS4CmJWVBQ8PD7x69QrAu8avnp6eSE1NhZWVFYKCglC1atViz9vw/OYvEolgb28Pe3v7InkiIiLw4sUL2ZFcWFiYrNgNGzYMV65cQcuWLdGzZ0906dIF5ubmCsnDGMPKlSsBABMmTKBCRORGR0ak0omMjERQUBCCgoIQExOD+/fvQyAQYOHChfjss8/g5eUFFxcXpU8YUMSRUUWcPHkSoaGhCA0NxZ07dyASibB//37069fvk5ePv3TpEtq0aQMDAwNER0erfIiQqB86MiJqJzc3FwYGBtz2HxcXh65duyI8PBy6urpo27Ytvv32W0ilUujo6MgmC2i7Ll26oEuXLgCA6OhoBAcHyyZZzJw5E2fOnEHPnj3h5+eHpk2blqsoFx4VDR06lAoRKRfNmStKNFZBQQGWLl2KWrVqISYmRmX7PHHiBMaMGYP+/fsDAGxsbNCsWTMcOHAASUlJOHPmDCZOnFipl7xwcHDA2LFj4eDgAOBdofL09MTmzZvRvHlz2NnZ4fDhw3Jt6/nz5zh69CgAYMqUKcqKTLQUHRkRpRMKhThy5AgSEhIwffp07Nu3T2n7ysjIwK+//orNmzcjJiYGtWvXRp8+fcAYg1AoxMaNG5W2b23QqVMndOrUCRKJBFevXsWxY8fg7OwM4N21UC9fvsTo0aNlxet9q1evBmMM3bp1Q926dVUdnWg6psbS09MZAJaens47CvlEYWFhTCAQMADs7NmzCt22VCpljx8/ZowxlpWVxezt7dno0aPZ7du3mVQqVei+FCkrK4sBYABYVlYW7zhlCggIYCYmJkwoFLI+ffqwM2fOMIlEwhhjLDU1lRkZGTEALCQkhHNSok7k/RynYTqiEp6enhg7diyAd7OsxGLxJ28zPT0dv/32G9zc3NCoUSOkpaXB2NgYr169wqZNm9C4cWO6xkWBZs+ejZiYGKxbtw7Pnj3D559/jpCQEADA5s2bZRe5tm/fnnNSoolUVoyWLl0KgUBAY8mV2I8//ggrKyv8+++/sosiK0IqlWLcuHGwt7fHlClT4ObmhhMnTsimJyvzGprKzsTEBGPGjMG9e/dw5coVdOjQAWKxWDb5o2/fvvQFgFSISorRzZs3sWnTJnh4eKhid0RNWVhYYNmyZQCAhQsXIjY2Vu7XMsZw/vx5SKVSCIVCiMVizJgxA1FRUTh06BB8fX3pQ1CFBAIBWrRoAR0dHRw8eBC5ubkQCoVYuHAhmjVrhqNHj8o6QxAiD6UXo6ysLPj7+2PLli2wsLBQ9u6Imhs2bBh8fHyQlZWF6dOny/Waa9euwdfXF76+vjh9+jSAd73PFixYADs7O2XGJWVg713kumDBAhw5cgSGhobw9/dHSkoK53REkyi9GI0fPx7du3dHx44dy3xuXl4eMjIyityIdhEKhVi/fj0EAgH27duHc+fOlfjcR48eoU+fPmjevDnS0tJw/PhxdO7cWYVpSVkuXbqE27dvw8DAAOPGjUOvXr1w9uxZ3L9/H1ZWVkhPT8egQYNw79493lGJmlNqMdq/fz9u376NgIAAuZ4fEBAAMzMz2a246aNE88k7meHcuXO4e/cudu/ejTt37qBbt25aNRRnZGSErKwsZGVlwcjIiHecClm1ahWAohe5CgQCODk5AQCioqIQFhaGRo0aYciQIbJ2S4R8RFnT+aKiopi1tTULDw+X3de2bVs2efLkEl+Tm5vL0tPTZbfo6Gia2q2lUlNTmZWVFQPAli9fzhhjLCkpiU2bNo1NmDCBMcZYfn4+y83N5RmTlOLZs2ey6fqPHj0q8Xn5+fls48aNzNbWlunq6rLVq1erMCXhTd6p3UorRocPH2YAmI6OjuwGgAkEAqajo8MKCgrK3AZdZ6Tdtm3bxgCwKlWqsBkzZjBTU1NWpUoV9uOPP/KORuQwYcIEBoB169ZNrudnZ2ezJUuWsIsXLzLGGHvx4gX9blcC8n6OK61RamZmJiIjI4vcN3z4cNStWxezZs2Cu7t7mdugRqnaTSqVwsfHB7du3YJQKMTEiRMxb948VKtWjXc0Uoa0tDTUqFEDOTk5CAkJQYcOHcq9jQ4dOuDBgwdYv349+vXrp4SURB3I+zmutHNGJiYmcHd3L3IzNjaGpaWlXIWIaLc3b96AMYZNmzZBIBBAKpWiV69eVIg0hCIuct25cydatGiBL774AoMGDUJycrKCUxJNQh0YiModP34cbm5uWLdunVI6MxDlEovFWLt2LQBg2rRpFZ5UUqNGDfz111/Yu3cvTp8+jVatWkEikSgyKtEkqhgzrCg6Z6RdUlNT2ddff80AsK5du7Lo6GjZ/R9OZiDqa8+ePQwAs7GxUdgEk7i4OFnPwrS0NJaUlKSQ7RL+qDcdUSsRERFwd3fH0aNHsX37dhw/fhw1atQA8GmdGYhqMcawYsUKAIpdybV69erw9fUFAMydOxf169fHn3/+qZBtE81AxYgoVW5uLgDA0dER33zzDR48eIDhw4d/NLQzbNgwNGvWrFydGYjqvXjxAg8fPoSBgQHGjBmjlH388MMPaNmyJb744gsMHDiQziVVElSMiNIcP34cLi4uCA0NhVAoxOLFi2VHQx8SCoVYt26drDPD+fPnVRuWyMXFxUXWD1BZK7lWr15ddi7pzJkzaNCgAXVjqQSoGBGFk0ql+P7779GjRw94eHjIvdDa+5MZxo8fT5MZ1JS1tTV69Oih1H0IBAIMGjQIDx8+xM8//wxTU1MwxmiCgxajYkQUKjMzE3379sVPP/2EgIAAHD9+HPb29nK//v1lJgpnbJHKq3r16hgyZAiAd8vQ9OjRA2/evOEbiigFFSOiUBKJBDExMTh27Bhmz55d7mm/709mWLBgAU1mIDJeXl64du0amjVrhqdPn/KOQxSMihFRiAsXLiAiIgLm5ua4fv36Jw3j0GQGUpxOnTrhxo0bEAgEaNq0KU6dOsU7ElEgKkbkk23YsAEdO3bE8uXLAbybjPApPpzMEB4eroiYRAvUqVMH165dQ6tWrbBu3TpawE+LiHgHIJorPz8fkydPxsaNGzFp0iTZ9SeK4OnpicWLF8PDwwMNGzZU2HaJ5jMzM8PRo0eRm5sLgUCABw8ewMXFBQYGBryjkU+gtEapikCNUtUXYwzdu3dHSEgI1q9fj5EjR/KORCqhvLw8uLi4yFoL2dra8o5EPsC9USrRbgKBAKNHj8bZs2epEBFu9PX18ddffyEqKgpNmjTB3bt3eUciFUTFiJTL3bt3MXPmTDDG0Lt3b7Rq1Yp3JFLJNWnSBLdu3YKtrS18fX1x/fp13pFIBVAxInK7efMmfH19cfbsWWRlZfGOQ4iMra0tQkND0apVK+jp6fGOQyqAihGRy5UrV9ChQwfUq1cPoaGhMDEx4R2JkCJMTU0RFBSExo0bIzc3F7du3eIdiZQDFSNSpvv376Nz587w9PTEqVOnYGZmxjsSIaX65Zdf0Lp1a5w8eZJ3FCInKkakTPXq1cP8+fNx4sQJOiIiGmHmzJno1KkTevfujTNnzvCOQ+RAU7tJia5fvw6xWEyTFIhGys/PR9++fXH27Fn8/fffaNu2Le9IlRJN7Saf5Pbt2+jcuTN++ukn3lEIqRA9PT388ccfaNmyJc6ePcs7DikDdWAgH7l//z46deqEunXr4sCBA7zjEFJhBgYGOH78OHR1dQG86ypPQ83qiY6MSBGRkZH4/PPP4ejoiJMnT9LwKNF4enp6EAgEOHHiBFxcXPDs2TPekUgxqBiRIt68eYPPPvsMp06dgrm5Oe84hChMixYtYGFhAT8/P6Snp/OOQz5AxYgAeLc6a35+Pho2bIjz58+jWrVqvCMRolDm5uY4duwY4uLi4O/vT6vGqhkqRgTAuxVWO3bsiIKCgnIviEeIpnB1dcWBAwfw999/yxZxJOqBihHBX3/9hQULFqBTp04QiWhOC9FunTt3xr59+6jBr5qh64w+EWNMo48k7t27h+bNm6N79+44cOCARv8shJRXXFwcEhMTac0sJaLrjFREIBBAKpVCKpXyjlJuWVlZ6NWrF1xdXREYGEiFiFQ6EydORLdu3RAbG8s7SqVHxaiCkpKS8PPPPyM+Ph5CoRBCoVDjlkCuUqUKvv/+exw9ehTGxsa84xCicmvXroVAIECfPn2Qm5vLO06lRsWoggqPInr06IFJkyYhIyMDAoEAkZGRaNeuHdLS0jgnLN21a9cAAN988w0cHR05pyGED1tbWxw5cgT37t3D6NGjNe4LpTahYlQBr1+/RmhoKNq1a4dbt24hNzcXFy5cAACsXr0aBQUFsLCwgFgsVsvhu02bNqF58+a0CBkhALy9vbFt2zYcOHAADx484B2n0qKpU+UUEREBf39/uLq6IiIiAgBgYWGBW7duoVGjRjh48CCmTp0KqVQqa0GiTp48eYIpU6Zg7Nix8PHx4R1HpbLzChCRko38Ain0RELUsjSGsT79ChSqzO/PV199hVatWtEoAUeV43+aAj179gwFBQUIDAwEAOzduxfz58/HiBEjEBgYiMzMTGRnZ6NevXro1asXli5dCqFQPQ5AJRIJhg8fjho1amD58uW846jEs4RM7LkehXNPEhGVmoP3B2EEAByrGsH3M2v4+ziijk3l61lG78//ODo6Ii8vD5s2bcLYsWPV8sukNqNiVE4mJibIysrCypUr0bRpU5w4cQI1atRAgwYN8NVXX2Hfvn3o1q0bxo4dixEjRiA6Oho1a9bkHRsAsH37dly7dg0XL16EkZER7zhKFZ2ag7mH7+PS82ToCAWQSD8+F8AARKbmYPf1SOy4GoHWLlZY0qcBHKpq93sD0PtTkkePHmHatGnIyMjA/PnzecepVOg6owp48eIFli1bBlNTU2zevBmBgYF49uwZDh06hLCwMFmbERsbG5w+fRqenp6cE7+Tm5uLkJAQ9OjRg3cUpdp/MwoLjj1EgZQV+yFbEh2hACKhAIv83DCwifYO19D7U7r58+fj559/xq1bt+Dh4cE7jsaT93OcitEnePPmDX777TcMGTIEtWvXxujRo7F+/XoAwI4dO3Do0CHs2LGDe583iUSCV69ewcXFhWsOVfjt3DMsP/20xMfz4p4iLWQz8hNfgYnzYDt8DfRsnD963vROrpjgW0eZUbko6/2Rl7a+PwCQl5cHb29v6Orq4vr16zRc94noolcVMDc3x/z581G1alVMnDgRRkZG+Omnn3DhwgXMnDkTAwcOhJmZGe+YWL16NTw8PBAfH887ilLtvxlV6gctkxQg6fBSSN5mwaLDKFj2+A46ZtbFPnf56ac4cDNKWVG5KOv9KQ9tfH8K6evrY8eOHbh37x6OHTvGO06lQUdGChQTE4OpU6fCxMQEnp6eGD9+PO9IePLkCRo1aoQxY8Zg1apVvOMoTXRqDjquuoC8gpKn0otTohG7ZSyqdp0Ik4ady9ymvkiIkKltteIciTzvT3lp0/tTnEePHqFevXq8Y2g8OjLiwN7eHgcPHsSmTZvUohAVzp5zcHDQ+uXD5x6+j4Iyzn9Ist+tYSPUl6/bRIGUYe7h+5+cTR3I8/6Ulza9P8WpV68eGGMIDg6GWCzmHUfr0Ww6JVCXztdr167FtWvXcOnSJa2ePfcsIROXnieX+pzk4FXIfhD67s9HliIZgL6DO6r7Ly3xNRIpw6XnyXiemAkXa82d1izP+wMABZnJeHPxd7x9cQvSvCzoWtjBtElvVGnYqdjna8v7U5oXL16gd+/eWLBgAb7//nvecbSaUo+MAgIC0KRJE5iYmMDa2hq9e/fGkydPlLlL8p4vvvgCW7duRcuWLXlHUao916OgIyy9yatJ4y4wbT7g3Z+9esKyx3cwa/FlmdvWEQrw+zXNPjciz/sjyU5D/K7pyI0Mh4lXd1TtOBoic1uk/L0GGTePlvg6bXh/SuPi4oJZs2Zh8eLFuHfvHu84Wk2pxejChQsYP348rl27hjNnzkAsFqNTp07Izs5W5m4JgPz8fNSoUQPffPMN7yhKd+5JYplTlPXt68GwVqN3f3ZwQxV3Xxg6NS5z2xIpw7mniYqIyY0878+bC7sBJoXt8NUwbzkIJo27wfqL72FUrw3eXN4LqTiv2Ndpw/tTlh9++AG1a9fGtGnTeEfRakotRidPnsSwYcPg5uaGhg0bYseOHYiKikJYWJgyd6s1jh49WqHCfeXKFTg5OeHly5dKSKVesvIKEJWao9R9RKXkIDuvQKn7UBZ53h/GGHKeXIGhS1OAMUhy0mU3QydPsLxs5Ce8KPH1mvz+yENfXx9Lly5FaGgoQkNDecfRWio9uZGe/u4EctWqVYt9PC8vD3l5//sGlpGRoZJc6ujevXvo3bs3rK2tMXPmTIwZM0auZR4YY5g9ezasra1Rq1Yt5QflLDIlG8qeDsoAnLwSBidzzbve5NUbcZnvjzQnHdK8bGTdPYmsuyeLf072mxJfzwBEpGTDzY7/ZQzK4ufnh927d2v9kDdPKitGUqkUU6ZMQcuWLeHu7l7scwICArBo0SJVRVJrycnJcHJywqtXrzB9+nT8/PPPchWlEydO4PLly/j777/VpieeMuUrcKpyab4a/DXy4xRzjY4q6dm6wnboytKf9N/VHcZuvjBu0KH47VSrVeomVPXvwItAIMDgwYMBvBsC19PT45xI+6isGI0fPx4PHjzA5cuXS3zOnDlziozLZmRkwMHBQRXx1E779u3x5MkT7N69Gz/++KNcRUkikWDOnDlo164dOncu+zoabaAnUk3B3fv7Lo09MvruTOkz6YRGphDoGYIxqey8Wnmp6t+Bt82bN2P16tW4e/cudWZQMJUUowkTJiA4OBgXL15EjRo1Snyevr4+9PX1VRFJI+jq6uKbb77BkCFD5CpKhR0WAgICKs0S4rUsjSEAlDpUJwDQpaWXRi6n8FleAaafOVXq+yMQ6sDos5bI/vc88pP6f3QUJMlJh45RyUNwArz7d6gMfHx88OjRI2zfvh3ffvst7zhaRalfZxhjmDBhAg4fPoyzZ8/CyclJmbvTWoVF6cmTJ9i2bRucnJyQmJiI6dOnw9nZGStWrEB2djbs7e0RHh6OZs2a8Y6sMsb6IjgquQOAo6WRRhYiQP73x6LdUOgYV0X8ru+QGrIZmXdPIv3qISQdWYrYzaV/6Gry+1NeDRs2xFdffYVFixYhJ0e5E2cqG6UWo/Hjx+P333/H3r17YWJigvj4eMTHx+Pt27fK3K3WKq0o2dvbY9q0aZXyF8T3M+syr6OpKB2hAL6uxfev0xTyvD86xhawHboSVRp0RM7Tq0g9vRGZt45B+jYT5u2Glfw6LXh/ymvx4sVITk7GmjVreEeRi1Qqla0koM6U2puupKGiwMBADBs2rMzXa1pvOlUTi8XYvXs3Fi9eLFt1tryz77TBs4RMfP7rRaVtP2RqG43uMEDvj+JNnjwZYrFY1qVf3YSGhqJ169YfTbRISUmBpaWlSrOoRW86xlixN3kKESnb++eURCIRHBwcih2+03Z1bEzQ2sVK4UdHOkIBWrtYafwHLb0/irdq1Sq1K0TvHwF1794dZ86cAQBERkZi1qxZ8PDwwMSJE7Fr1y6oY3/syjEFRoulpqZi1apVmDx5Ml68eFHqOSVttqRPA4gU/GErEgqwpE8DhW6TF3p/FEsoFEIikWDXrl1qszSLUCiEjo4OAGDAgAE4deoUAODYsWNwcXHBrVu3MGTIEMyYMQMnTxZ/PRlPVIyKIZVqzjUTO3bsQH5+PmbOnCn3RAdt5FDVCIv83BS6zf/zc9Oa5RHo/VG8zMxMjB07Flu3buUdBQCQmJiIb7/9FoMGDUJOTg5CQkLw4sULrF27Frm5ufD398f8+fPh7+9f4rWePFExKsb27dvRvHlzzJo1C5mZmbzjlGrAgAHYs2cPrK3/dxK5shalgU0cMb2Tq0K2NaPTZ/hSy5bWpvdHsczNzeHv749NmzahoIB/O6TAwEAIBAIsWrQIw4cPx9OnTxEfHw8rKyuEhIRg1qxZCAsLw8qVK+Hg4KB2y2LQ4nrvSUtLw/LlyxEeHo7x48cjPz8fvr6+MDU1hUQigVAo1MjrdwonOhRepwS8m+jw8OFDWFlZcU6nePtvRmHBsYcokLIyG4S+T0cogEgowP/5uWn1By29P4pz9+5dNG7cGIcPH0bv3r25ZqlTpw7WrFmDrl27AgC++eYbmJmZwdraGuHh4di/fz8A4K+//sLVq1exYMECVKlSRem51GICg6bJycnB0aNHcfPmTfz2229o2rSp7ISgjo6O2hWi0aNHY/PmzWU+r7gjJW9vb60sRMC7I4CQqW3Rwvm/WUPS0qe1Fp7Yb+FsiZCpbbXmgzY7rwAPY9NxJyoND2PTZc1MP3x/yprYwP57/7Tt/VGERo0aoXnz5twnM+Tl5aFDhw54/Pix7L527drh+PHj6N27N3Jzc+Hn5wdPT09s2LABrq6uMDAw4Jj4Y5XjSjU52dvbw8HBAXPnzkXVqlWxePFiPHr0CImJiVi8eDGcnZ3RqFEj3jEBAFFRUdi2bRu8vLzkfs37s+9SU1OVmI4/h6pG2Dm8CezrecG9z1jkW9ZBVEpOkU4EAry7YNPX1RqDmzlqxaywZwmZ2HM9CueeJCIqtZift6oRfD+zhr+PI3aP8Pnf858mFvv+2Jvp49HZPzCjTzPMHtFdtT+Mhvjhhx8QHx8Pxhi3L6x6enpo2rQpVq9ejalTpwIAEhIS8Pz5c8TFxeHIkSO4cuUKateujerVq3PJWBYapnvP+fPnsXTpUvzf//0fEhMTMW7cODx58gQvXrxAYGAgVq1ahX///Rd169ZVepayzJ8/H2vXrkVMTIxKDrU10fXr19GsWTNcvHgRrVu3RnZeASJSspFfIIWeSIhalsZa0zkgOjUHcw/fx6XnydARCkodfit8vLWLFZb0aSCbhFDS++Pr6wt9fX21nIFFiurTpw8kEgnu3buHUaNGwcXFBd26dYOJCb8vWvJ+jmvHb6KCXLhwAa6urtDR0cGJEycwY8YMGBoawt3dHebm5nB1dYWrq2JOAH+K/Px8bNmyBUOHDqVCVIqgoCBUrVoVzZs3B/CuNY42LnPw/jkgAGWeByp8/J+XKei46gIW+blhYBPHEt+f/v37Y/LkyVwumNQUL1++REBAAH799VeuF5sfOHAA4eHhsLOzg729PbccFUHnjN5z+vRpuLq6ws3NDefOnYOnp6fsscePH8PX11ctlmU4deoUEhMTMXbsWN5R1FpwcDC6desGkUh7v3P9du4ZZv91H3kF0iJF6M2lPYhc2gOSnPQSXyuRMuQVSDH7r/v47dyzEp/Xt29fSKVSHDlyRJHRtYpAIMC2bdtkkwR40dPTQ5MmTTSuEAFUjGRycnLQo0cPNG3aFLq6unB3d0dUVBQA4P79+zhy5Aj69evHOeU7PXr0QHh4OOrVq8c7itqKiopCeHg4evbsyTuK0uy/GYXlpxWzxtLy009x4GZUsY9Vr14dbdq0waFDhxSyL23k5OSEbt26Yd26deXqbhAZGYkVK1bg4kXltWvSFNr7lbGcjIyMMGfOHNnf58+fjzFjxmDv3r0wNTWFmZmZbLiHp8KFvTw8PHhHUWvBwcEQiURau65TdGoOFhx7qNBt/nDsIVrUtir2QlYaqivbuHHj0L17d9y4cQM+Pj4lPi8yMhJ//PEHDh48iBs3bgAAvvrqK7Rp00ZVUdUSHRn9hzEmm8Z99uxZvHjxAhcvXsTmzZsRHx8PPz8/GBsbc+/pNGXKFO7XM2iCoKAgtGnTBmZm2neOCADmHr4vO0ekKAVShrmH7xf7GA3Vla1z585wcnLChg0bPnqs8AjIx8cHtWrVwvTp03Hjxg0IBAK0bdsWHTt25JBYvdCR0X8EAoGsr5O9vT0OHTqExYsXQ19fH82aNcOYMWM4J3zXpujPP//E119/zTuKWsvKysLZs2exbNky3lGU4llCJi49L3311kLStxlIPb0Bb1+GQSAUwditHSx8h0Mg+njZbImU4dLzZDxPzPxomvv7Q3UjRoxQyM+hbXR0dLBnzx5Uq1YNQPFHQMC7z5o2bdpgwIAB6Nu3r9pOtVY1KkbF+Oyzz2Tfbp4/fw4nJydZoVLUdQS//fYbMjMz0bNnT7i5ucm13Rs3biAxMRG9evVSSAZtFRISgvz8fK09X7TnelSZ07cLJR1ZBpGZNSzaDkVe7BNkhgVBmpsFq57fFft8HaEAv1+LwsJi+tjRUF3Z7OzsqABVEBWjMri4uCh8m4wxrFq1Ci9fvsTcuXPh5OSEHj16oGfPnmjbtu1Ha5AUCgoKgqWlpVqcu1JnQUFBqFevHmrXrs07ilKce5IodxsfkZkNrL/4HgBg4tUDAn0jZN0+DlOfvtCz/njlZYmU4dzTRCzEx8Wob9++mDhxIo4cOUJHR++hIyDFoHNGHEilUsyYMQPdunWDvr4+Xr16hbVr16JTp06wsrLCF198gZ07dyIpKanI686dO4fu3bvLjtLIx6RSKY4fP661R0VZeQWISpV/NV8Tr6JdE0y9egAA3r64VeJrolJyZK2D3kez6v6ntHNAdnZ2sLS0RExMDM6fP49x48ZRIZIDHRlxoKOjgzFjxmDMmDHIzs5GSEgIgoKCEBwcjISEBPz555/4888/IRAI0Lx5c/Ts2RM9evTAuXPn1L6LOG83b95EQkICevTowTuKUkSmZKM80xZEFnZF/25uCwiEKEhPKPE1DEBESjZdAPsBeY+A7ty5g27duiE1NRW2trYcE2sWKkacGRsbo1evXujVqxekUinCwsIQFBSEoKAg3L17F//88w/++ecfzJkzR+7hvMrsw64L2ia/4BPX2pLznGdJ+6lsQ3VisRhr1qwp1xCcr68vjI2NcezYMbi5KXYNKW1Gw3RqRCgUokmTJvi///s/3LlzB1FRUVi/fj26desGoVAo93BeZabtXRf0ROX7lS1Ii/3470wKkZlNhfZT2YbqRCIRNmzYUGQa9rp16xAbG1viEJyBgQE6d+6MY8eOcUqtmbTzN1ZLODg4YOzYsRg0aBCsrKwwevRoSCSSMofz5J2dp20Kuy7MnTuXdxSlqWVpDAEg91BdZthxGDr9r61VRlgwAMDQueRu74L/9lOSyjRUJxAIMHfuXOTm5pZrEsLcuXORl5en5HTahbp2a4D9+/dj0KBBiIqKgoODA6RSKW7duoXg4GDZcN773h/Oa9++faWZ8LB+/XpMnjwZycnJWnuxKwC0/eUcIsuYxPDm0h6kX9kH3Wq1IDKzhqGzF/JiHiP74TkY1W+Lan4zSnxtTUsjXJjuW+Lj8fHxsLe3x+bNmyvFUB35NLS4nhY5duwYGjduDAcHBwDvhvOaNm360XBe165di8zO+/LLL7l3jFAlbe+6UMj3M+syF8QrVK3XLAh0dJF2fgfevrgJE88esOo2ucTn6wgF8HW1LvFxoPIN1VXUwYMHMX/+fN4xNAYdGak5qVSK6tWrY9y4cVi4cGGZz39/dp6JiQlWrVql/JBqICsrC5aWlli2bBmmTJnCO45SPUvIxOe/Kq+xZsjUNmUuNFh4FBofH6/1Q3UV9csvv2DBggVISUmBoaEh7zjc0JGRlhAKhXj69CkmTpwo1/MLZ+dt3bq10hQiQPu7LhR6/fo15k0cgbevbpe5nHp56QgFaO1iJdeKt9Srrmzdu3fH27dvcfnyZd5RNAIVIw1gbm5O3z7LoO1dF/Lz87Fs2TLUrVsXFy9exLxOtaGvp6vQfYiEAizp00Cu59JQXdnq1q0LU1NT3LpV8gXG5H+oGKm5GTNmYPbs2bxjqDVt77oQEhICDw8PzJs3D6NGjcKTJ08w6ZuvsKiY/nGf4v/83IpdPqIk/fv3R2hoKFJSUhSaQ1sIhUJ4enoiLCyMdxSNQMVIzZ04cQIZGRm8Y6g1be268Pr1awwYMACff/45rK2tcefOHaxatUo2QWNgE0dM7+SqkH3N6PQZvmziWK7X0FBd2aZPn04zDuVExUiNZWVl4fHjx/DyKvmaEKJ9XRc+HJLbvXs3Lly4gAYNPh5Cm+BbB0v7NoC+SAiw8nVn0BEKoC8SYlnfBhjvW/6GwDRUV7bu3buja9euvGNoBCpGauzu3buQSqVUjMqgTV0XihuSGzx4MAQCAbLzCvAwNh13otLwMDZd1sx0YBNHrOxYFW8j7gJAmdO+Cx9v4WyJkKlty31E9D4aqitdfn4+Nm3ahAcPHvCOovY0/7dXi4WFhUFfX5/6W5VCW7ouvH79GtOmTcOhQ4fQunVrHDp0CA0aNMCzhEysuvAQ554kIio1p0jnBQEAx6pG8P3MGld2rYPFgxs4smoS9t98jXNPExGVUszzLY3g62qNwc0c5Zo1V5bK1quuvEQiEWbOnIlZs2bB3d2ddxy1RsVIjfXt2xd16tSBrq5iZ01pk+DgYIhEInTu3Jl3lArJz8/HqlWrsHjxYlSpUgW7d++Gv78/Xqe9xZBt13HpeXKJC+kxAJGpOdh1LQLSOl/CpXFfGOvrYqGfGxbCDdl5BYhIyUZ+gRR6IiFqWRrDWF+xv/K0AmzpaBKD/GiYTo05ODigW7duvGOoNU3uulDSkNyBW9HouOoC/nn5buirrIX0Ch9+laOHjqsuYP/NKACAsb4IbnZmaOxoATc7M4UXokI0VFc6Ly8vKkZyoGKkprKysjBhwgQ8ffqUdxS1lZWVhbNnz2rclO7SZsn9du4ZZv91H3kFUrlXcy0kkTLkFUgx+6/7+O3cMyWl/xjNqiudt7c3IiMjqViXgYqRmrp79y7WrVuHnBz5V/WsbDSt60JZs+T234zC8tOK+fKx/PRTHPjvCEnZaFZd6Xx8fODv74/s7GzeUdQaFSM1RZMXyqZJXRdKmyUHANGpOVhw7KFC9/nDsYeILscS5Z+ChupK5uTkhN9//x2OjhWftVgZUDFSU//++y/q1atHkxdKoCldF8q6cLXQ3MP3UVDOYbmyFEgZ5h6+r9BtloSG6koXHR2Nx48f846h1qgYqanY2FjUqFGDdwy1pe5dF8pz4eqzhExcep5c7nNEZZFIGS49T8bzxEyFbrc4NFRXuunTp2P8+PG8Y6g1lRSjdevWoVatWjAwMICPj0+RteRJ8Xr16oWBAwfyjqG21LnrQllDch/acz2q1AtVC9ITkXJqPWI2f4uo5X0R/esgJB0OQMGbhDKz6AgF+P2aas4d0VBdyWxtbREXF8c7hlpTejE6cOAApk2bhgULFuD27dto2LAhOnfujMTERGXvWqONHDkS/v7+vGOoLXXsuiDvkNyHzj1JLPWoKC/uKfJiHsG4XhtYdByNKo27IjcyHPF750Aqzi112xIpw7mnqvldo6G6ktnZ2SE2NpZ3DLWm9GK0cuVKjBo1CsOHD0f9+vWxceNGGBkZYfv27cretcaSSCQ4deoUkpOTeUdRS4VdF9TlfFF5huQ+lJVXgKgyJhkY1m4Cu2/Wwry1P0wadYFF269h3X8hJBmJyHnyT5n7iErJkbUOUiYaqiuZra0t0tPTaXZsKZRajPLz8xEWFoaOHTv+b4dCITp27IirV69+9Py8vDxkZGQUuVVGiYmJ6NKlS7HvEal414WSert9ivIOyX0oMiUbZZ0pEurqy/7MJAWQvM2AyMIWQn1j5Me/KHMfDEBEimqmFdNQXfHs7e1haWlJ70splDrGkZycDIlEAhsbmyL329jYFDuzJCAgAIsWLVJmJI1QOLZsa2vLOYl6Kk/XhWcJmdhzParM3m7+Po6oYyN/r7aSesmVV35B2Z22peI8ZFw9hKz7IZBkpgDv/RTSPPmKjDz7UQTqVVe89u3b00hHGdRqNt2cOXOQnp4uu0VHR/OOxEXh2LKdnR3nJOpH3q4L0ak5GLLtOj7/9SJ2X49E5AeFCPhfb7fd1yPx+a8XMWTb9TKvy/mUIbni6InK/hVMO7MJ6VcPwqhuK1j1ngXrLxfDeuCPEBqaAky+GXjy7EcRaKiOVJRS/4daWVlBR0cHCQlFZ/0kJCSgevXqHz1fX18fpqamRW6VUVxcHAQCAaytrXlHUTvydF3YfzOqXL3dCh//52VKkd5uxe37U4bkilPL0hhlvTr7yRUYu7dH1Q4jYVy3FQydGsOgRn1Ic7Pk2ofgv/2oCg3VFa9x48bYtGkT7xhqS6nFSE9PD15eXggNDZXdJ5VKERoaqpZTctVJo0aN1GqmmLooq+uCMnq7VXSWnDyM9UVwLGOpb4Hg41/TjLAguRfTc7Q0UlqT1OLQrLriZWRk4NWrV7xjqC2l/w+dNm0ahg4dCm9vbzRt2hS//vorsrOzMXz4cGXvWmONGjUKo0aN4h1D7RR2XRg6dGixjyu6t5uFgQivLx78aHmHTzkSKo7vZ9bYfT2yxOJp6NIE2Q/OQqhvBF0rR+TFPEZuxN13w3Rl0BEK4Ouq2iNsWlaieLa2tjS9uxRKL0ZffvklkpKS8MMPPyA+Ph6NGjXCyZMnP5rUQEhZSuu6oIzebvMOhyNu22qMGzUKCxcuVNoyFf4+jthxNaLEx6t2HA0IhMh+eB5MIoa+fT3YDPwRCQd+KHPbEinD4Gaq74nWv39/TJ48GSkpKbC0tFT5/tURFaPSCRiT8wwoBxkZGTAzM0N6enqlOn/Uvn17NGrUCCtXruQdRa3Mnz8fGzZsQEJCwkdDmEO2Xcc/L1MU21JHKkEjOyMcmdyx7Od+ImXk1xEK0MLZErtH+Chsm/KKj4+Hvb09Nm/eTEdH/xk/fjwuX76M8PBw3lFUSt7PcbWaTUfeyczMpHbzxSip64KyertBqIO78Xkq6e22pE8DiEppCVQRIqEAS/pUbJbfp6JZdR+bPHkytm7dyjuG2qJipIYKCgpo8sIHSuu6UFZvt0IFmclIPrEar3/7GpG/9MbrDSOQcmodmERc4mtU1dvNoaoRFvkpdrmQ//Nzg0MZkyOUiWbVFeXq6oomTZrwjqG2qBipISpGHyut60JZvd0AoCAzBfE7pyHn0UUY1W2Nqh2/RRU3X+RFPQAT55X4OlX2dhvYxBHTO7kqZFszOn2GL5vwXT+HZtUVdebMGSxbtox3DLVFxUgNicViKkYfKKnrgjy93QDgzYWdkGS/gc1XS1G14yiYNO4K8zaDYTdqAwT6pV+Do6rebgAwwbcOlvZtAH2RUK6jvffpCAXQFwmxrG8DjPd1UVJC+dFQXVGXLl3CunXreMdQW1SM1NAff/yByZMn846hNkrruiBPbzfGpMh5dg2GLk2hb1vno8fLmqqtyt5uwLsjpJCpbdHC+d0stLKKUuHjLZwtETK1LfcjovfRUN3/iEQiFBSo5kuNJqJipIbc3d1pieL3lNZ1Qa7ebjnpYHk50K1Ws8IZVNXbrZBDVSPsHuGDM1PaYIhPTdS0NPqoU4MAQE1LIwzxqYmQqW2we4QP13NExaGhuv/R0dGhYlQKGgtSQz/++CPc3d3Ru3dv3lHUQmldF1TVc01V+/lQHRsTLPRzw0K4ITuvABEp2cgvkEJPJEQtS2OVdlaoCLoA9n8kEgkNv5eCjozU0J49e3D58mXeMdRCYdeFknrRydPbTWhkBoG+EcRJkRXKoOrebiUx1hfBzc4MjR0t4GZnpvaFqBAN1b3TsGFDDBo0iHcMtUXFSA2JRCKIxSVPN65MSuu6AMjf282oTjO8fX4DeXHPPnq8rOu+Vd3bTdvQUN07vXr1wooVK3jHUFtUjNQQnej8n6CgIFStWrXUxrq+n1mXeZLfvO3X0DEyQ8Le2UgN2YLMuyfx5vJexG4dB1bKmkA6Aqi8t5u2oVl178THx+PFi7IXQ6ysqBipIV1dXSpG/ymp68L7/H0cy7zOSGRihepfr4DRZy2R/e95pJ7ZhOwHZ2Hg2ACC91ZS/ZCEAdHn91K35U9EQ3XAsmXL4OfnxzuG2qJipIYGDhwIX19f3jG4K63rwvvq2JigtYtVmUdHIjNrWPWYBodJe1BzxmHYj9mKqp3GQqCjW+zzdQRAdbzBkZ0b4eLigi+++AL//PNPmcN65GM0VAfk5eVBV7f4/2uEipFamjZtGgYOHMg7BneldV34kFJ6u+kIcWhGH0RHR2PdunW4f/8+WrZsiebNm+PgwYN09FoONFQHJCYm0oKZpaBipIZiY2Nx48YN3jG4K6nrQnGU2dvNyMgIY8aMwaNHjxAUFARjY2N8+eWXqF27NlasWIH09HSF7ldbVfahuri4ONja2vKOobaoGKmhbdu2lTk0pe1K67pQEmX3dhMKhejRowdCQ0Nx584dtGvXDnPmzEGNGjUwdepUOq9Uhso+VJeTkwM7OzveMdQWFSM1ZGtri6SkpEo9vbu0rgulUVVvt0aNGmHnzp2IiIjApEmTsGvXLjqvVIbKPlR3584dLFmyhHcMtUXFSA3Z2dmBMYaEhATeUbgpretCWVTZ283Ozg4//fQTnVeSU2UfqlP0kvXahIqRGiocV46Li+OchI+yui7IQ9W93ei8knwq61DdkydPUK9ePTx48IB3FPXF1Fh6ejoDwNLT03lHUan4+HhmY2PDzp49yzsKF9euXWMA2MWLFxW63axcMXsQ84bdjkxlD2LesKxcsUK3/6E7d+6wr7/+munq6rIqVaqwKVOmsJcvXyp1n5qgXbt2rHPnzrxjqNSZM2cYAPbixQveUVRO3s9xOjJSQzY2NoiPj6+01xrJ03WhIlTd243OKxWvMg7VxcbGAgDNpisFFSOiduTpuqBJ6LxSUZVxqC4uLg7m5uYwNDTkHUVtUTFSU3369MGkSZN4x1A5ebsuaCI6r/ROZZxVFxsbS9O6y0DFSE1JJBK8fPmSdwyVK0/XBU1F1ytVvqG6sWPHYsOGDbxjqDUqRmrK3t4e0dHRvGOoXHm6LmiDynpeqbIN1dWtWxdt2rThHUOtUTFSU25ubnj8+DHy8/N5R1GZinRd0BaV7bxSZRqqk0qlmDZtGu7fv887ilqjYqSmvLy8kJ+fX6muS6ho1wVtUpnOK1WWobqnT59i1apVlfoidnlQMVJTjRs3xs2bN+Hu7s47isp8StcFbVMZzitVlqG6sLAwAICnpyfnJOqNipGaMjAwgLe3N/T09HhHUQlFdF3QVtp6XqmyDNWFhYXB2dkZVatW5R1FrVExUmN//PEHxo8fzzuGSty8eRMJCQno0aMH7yhqSxvPK1WGobqwsDB4eXnxjqH2qBipsfj4eGzdurVSTGJQVtcFbaRN55Uqw1Bd37594e/vzzuG2hMwNT7Gz8jIgJmZGdLT02Fqaso7jspdvXoVLVq0QFhYmNaPNzdq1AgNGjTA7t27eUfRSHfv3sWqVauwb98+6OvrY+TIkZg0aRKcnJx4RyuTr68v9PX1cfLkSd5RiBLI+zlOR0ZqrGHDhhAKhbIToNpKm7suqIomn1fS5qG6hw8fIjQ0lHcMjUDFSI0ZGRmhfv36Wl+MKkPXBVXRxPNK2jxUt23bNowaNYp3DI1AxUjNLVq0CIMGDeIdQ6kqW9cFVdCk80raPKsuLCwM3t7evGNoBCpGaq5v375o27Yt7xhKU5m7LqiCplyvpI1DdVKpFHfu3KGZdHKiYqTm3r59i7Vr1+Lff//lHUUpqOuC6qjzeSVtHKp7+PAhMjMz6chITlSM1Jyuri4WLlyIffv28Y6iFNR1QfXU8bySug/VTZ06Ff3798euXbuQnJws12vevHmDFi1aoGXLlkpOpyWUveTsp6isy45/aMiQIczDw4N3DIWTSCTMxsaGzZw5k3eUSk0ikbCgoCDWvn17BoA5Ojqy5cuXszdv3qg0x7p165hIJGLJyckq3W9ZCv+fAmAAmEAgYC1atGABAQHswYMHTCqV8o6o1uT9HFdaMXr16hX75ptvWK1atZiBgQFzdnZmP/zwA8vLy5N7G1SM3jl48CADwF69esU7ikJdu3aNAWAXL17kHYX8586dO+zrr79murq6rEqVKmzKlCns5cuXKtl3XFwcEwqFbOvWrSrZn7ykUim7fv06mz9/PmvUqJGsKBXenJyc2KRJk9jp06dln29paWksPDycChVTg2L0999/s2HDhrFTp06xFy9esKNHjzJra2v23Xffyb0NKkbvpKenM11dXbZmzRq5XxMREcGWL1/OVqxYocRkn2bevHmsatWqTCwW845CPhATE8Pmzp3LqlatyoRCIevXrx+7cuWK0j9c27Vrxzp37qzUfXyqqKgotn79eta1a1emr69fpDCZmJiwL774go0YMYIBYImJibzjcse9GBXn559/Zk5OTnI/n4rR/wQEBLBz586V+pzCAuTj4yP75bCxsWEFBQWqCVlODRs2ZIMHD+Ydg5QiOzubbdiwgbm6ujIAzMfHhx04cEBpXyDUdaiuJFlZWezIkSNsxIgRRYbyCm80nKemxWjevHnMy8urxMdzc3NZenq67BYdHU3FqAzFFaDCce22bduydevWsdzcXN4xPxIZGckAsAMHDvCOQuSgqvNKHw7VZeWK2YOYN+x2ZCp7EPOGZeWq71G0RCJh169fZ7Nnz2YCgUCu4bzKQN5ipLLedM+fP4eXlxeWL19e4hXJCxcuxKJFiz66v7L2pnsfYwyHDh2Co6MjbG1t8ccff+DQoUO4fv267DkCgQBt2rTBgAED0LdvX1SvXp1j4tKtX78ekydPRnJyMl3sqmGU3QevZbcvkGPrCdO6zRGVmoP3P6AEAByrGsH3M2v4+ziijo2JQvapSMHBwejZsyfOnj2Lx48fIzg4GKGhocjLy5M9x8TEBJ07d0bPnj3RrVs3WFlZcUysXPL2pit3MZo9ezaWLVtW6nMePXqEunXryv4eExODtm3bol27dti6dWuJr8vLyyvyD5aRkQEHBwcqRgAiIyPRvHlz5OfnF7kwUJMK0Pu6du2K/Px86tulwWJjY7Fu3Tps3LgRb968QZ8+fTBt2jQ0b94cAoGg3NuLTs3B3MP3cel5MphUAoFQp8Tn6ggFkEgZWrtYYUmfBnCoavQpP4pC7d27F1u2bMHZs2dl70N2djZCQkIQFBSE4ODgIqu+CgQCNG/eHD179sTUqVOhr6/PK7pSKK0YJSUllXmVtLOzs2xRuNjYWLRr1w7NmjXDjh07IBTKf2lTZe/aHRkZqfFHQMXJysqCpaUlli1bhilTpvCOQz5RTk4Odu3ahVWrVuHp06fw8fHBtGnT0LdvX4hEIrm2sf9mFBYce4gCKYNEKv9Hko5QAJFQgEV+bhjYxLGiP4JKSaVShIWFISgoCEFBQbh79y4AoEaNGoiKiqpQIVdnSitG5RETEwNfX194eXnh999/h45Oyd90ilMZi1FpBahx48a4ffs2/vzzT/Tt25djyk9z5MgR9OnTB8+fP6eLXbWIVCrFiRMnsGrVKpw9exaOjo6YNGkSRo4cWepQ7G/nnmH56ady7ePNpT1Iv7IPNWcHf/TY9E6umOBbp8L5FSE+Ph5SqRR2dnZyvyY6OhrHjx8HYwxjx45VaB6pVFquAwBl4L6ERExMDNq1awdHR0csX74cSUlJiI+PR3x8vLJ2qbEiIyOxYsUKNGvWDLVq1cL06dNx/fp1CAQCtG3bFr/99htiY2Nx8+ZN2NnZ4fLly7wjfxLquqCdKtIHb//NKLkLUVmWn36KAzejFLKtivrtt9/g4eEBiUQi92scHBwwZswYhRciANi+fTuaN2+OWbNmITMzU+HbVyT5jqEr4MyZM3j+/DmeP3+OGjVqFHlMRXMm1N62bduwZcuWYofg+vfvj379+n00BDdjxgyNG5Z7n1QqxfHjxzF06FDeUYgSFfbBCwgIkJ1XWrNmTZHzSq/T3mLBsYcK3e8Pxx6iRW0rLueQCgoKsGvXLvTu3bvco0CKlpaWhuXLlyM8PBw//PAD8vPzZZ+7EokEQqFQ7YYDaaVXjsaOHYuNGzeWWYC0yfXr19GsWTNcvHgRrVu35h2HqEhx55VM/ObgZbZuuc4RlTZMB7w7h9TC2RK7R/goKrrcjh49it69e6vFyswxMTHo3LkzkpKS4O3tja1bt8LAwAAWFhYqzyLv57jSjoxI2UaOHAl3d/dyF6CHDx/iyJEjmDdvnhLTKUdQUBCqVq2K5s2b845CVKhwfaXRo0fjxIkTWLZhJ55ligCUXIhyox8iLXQr8pMiIDKxhKlPvzL3I5EyXHqejOeJmXCxVu207/Xr18PHx4d7IQIAe3t7ODg4YO7cuahatSoWL16MR48eITExEYsXL4azszMaNWrEO2YR1LWbIy8vL4wfP77cR0KPHz/G/Pnzce/ePSUlU57g4GB069ZN7llWRLsUnlfq8O1CCEsZJcpPjEDigR8gyXkD81ZfwbhBR7y5vAc5T6+WuQ8doQC/X1PtuaOCggJUq1YNkyZNUul+S3L+/HkwxuDi4oKCggIEBwfjxIkTOHDgAK5cuQJPT088fvyYd8wiqBjJQSqVluuEpLL5+fnBzs4OGzZs4B2lXKKiohAeHk5rFxGce5KI0kbn3lz6HQBDdf9lMGveH+YtB6L6oACIk8suMhIpw7mniYoLKweRSITff/8dX331lUr3W5ILFy7A1dUVOjo6OHHiBGbMmAFDQ0O4u7vD3Nwcrq6ucHV15R2zCCpGJQgNDUV+fj6Ad9/mCk9IqsNKlLq6uhg9ejR2796NjIwM3nHkFhwcDJFIhM6dO/OOQjjKyitAVGpOiY8zqQS5r+7AsE4ziMysZffrWjnA0Fm+IbColBxk56lmXaacnBzs3r0bubm5KtmfPE6fPg1XV1e4ubnh3LlzRYYOHz9+DF9fX+5Tvj+kXmk4e/8IqHv37jhz5gyAd1OvZ82aBQ8PD0ycOBG7du3iPiNw5MiRyM3Nxe7du7nmKEl2XgEexqbjTlQaHsamIzuvAEFBQWjTpg21/6nkIlOySzlTBEhzMsAK8qBr8fG1OqKq9nLtgwGISMkuV67Y2FhkZ5fvNQBw4MABDB06FDExMeV+rTLk5OSgR48eaNq0KXR1deHu7o6oqHdHlPfv38eRI0fQr1/Z599UjQbu3/P+N4UBAwbg1KlT6N69O44dOwYXFxfcunULoaGhGDZsGKpVq4auXbtyy2pvb48dO3ao1Yy0ZwmZ2HM9CueeJBbbU0xcqx+8bQ3xLCFTLXuKEdXIL5Cq5X7GjRuHq1evYubMmRgzZgyMjY3let369evRpUsXtbluzsjICHPmzJH9ff78+RgzZgz27t0LU1NTmJmZqeUEIipG70lMTMT333+PjIwMiMVi3Lp1Cy9evMDatWsxceJE+Pv74+XLl/D394e7uzvvuBg8eDDvCACK9hQr7Bn2IQZAZG6Le7nA579eVMueYkQ19ESlD8gIjUwhEOlDnBb70WMFqfIffZS1n/dlZGTg/v37SExMxPTp0/Hzzz/LVZRu3ryJW7duISgoSO59KRtjDFKpFDo6Ojh79izevHmDixcvIjk5GYMHD4afnx+MjY3BGFOra41omO49gYGBEAgEWLRoEYYPH46nT58iPj4eVlZWCAkJwaxZsxAWFoaVK1fCwcEBYrGYd2Rs27aNa3+3/Tej0HHVBfzz8t25tLKuGSl8+J+XKei46gL2c75inqheLUtjlPYRKBDqwMCpMd4+u4aC9P9NRBAnR+Pty9ty7UPw337kZWpqisePH2Pbtm1wcnKSFSVnZ2esWLGixOG79evXo2bNmlxHST4kEAhk57jt7e1x5swZNG3aFH369EGDBg3Uth8kXfT6njp16mDNmjWy/1jffPMNzMzMYG1tjfDwcOzfvx8A8Ndff+Hq1atYsGABqlSpovRcpVmzZg2+++47REZGlqsfliKUp6dYadShpxhRrba/nENkKZMY8hNfIX7XdxAamcHEszsglSAjLAg6RuYQJ0WUeNFroZqWRrgw3bdC2cRiMXbv3o0ff/xR1sLI2tq62COlffv2QSKRqM0oRWmeP38OJycnlXeH4N6bTtPk5eWhQ4cORebet2vXDsePH0fv3r2Rm5sLPz8/eHp6YsOGDXB1dYWBgQHHxO98/fXXMDY2xtKlS1W6X23rKUZUy/cza+iUcqGRnrUTrAf8H3SMzPDm0u/IuncG5q38YeRa9rkOHaEAvq7WZT6vJLq6uvjmm2/w5MmTMo+UBg0apBGFCABcXFy4tykqDR0Z/YcxhsDAQKxevRrh4eEAgF9++QWzZs1CSEgI2rdvjytXrqB27dpq165nyZIlWLhwIZ48eaKwBc5KE52ag46rLiBPgSei9UVChExtS+eQKolnCZn4/NeLStt+yNQ2CuvAUNyRkpWVFezt7fHHH3/AxcVFIfvRVnRkVE4CgQDffPMNnJ2d4efnh1q1aiE/Px/79u1DkyZNAAAtW7ZUu0IEAJMnT4alpSV27typkv3NPXwfBeXoJyaPAinD3MP3FbpNor7q2JigtYtVqUdHFaEjFKC1i5VCWwEVd6SUnJyM8PBwtGjRotRzSkR+dGT0gfz8fISHh8POzg729vJd06AOoqKi4ODgoPTZMfJ+o82NvIe0c9uRnxQp6ysmyUottckloNhvtES9aeoR9sOHD9GgQQNYWFggNTUVQMnnlAgdGVWYnp4emjRpolGFCAAcHR0hEAhw/75yjy72XI8q89tsfvwLJBxcAMnbTJi39kcVj05Iv7IPOc+ulfo6Hj3FCD8OVY2wyM9Nodv8Pz83pQ/1Llq0CDVq1EBERES5Z9+RklEx0iLnz5+Hh4cHLl26pLR9nHuSWOb07TeX90AgFKL64J9h1uwLmLUYABv/pWX2FePRU4zwNbCJI6Z3UkyPtBmdPsOXSl56PC4uDkFBQVi0aBFMTEzknuhAykbFSIu0adMGnp6emD17tlLaFZXVUwz4r69YRPi7vmImlrL7dS3sYOjsVeY+VNlTjKiHCb51sLRvA+iLhOU+h6QjFEBfJMSyvg0w3lf5EwlsbW3x9OlTfP3117L7yjP7jpSMipEWEQqFWLp0Kf755x+lXBFeVk8xAJDkpJfcV8zCtsx9VKSnGNF8A5s4ImRqW7RwfvcFpqyiVPh4C2dLhExtq/QjIgB4+fIlcnJy4ODgUOwU6bKK0tGjR5WeUZNRMdIyHTt2RPv27TF37lyFL3uhrj3FiHZwqGqE3SN8cGZKGwzxqYmalkYfdWoQ4N0FrUN8aiJkahvsHuGjkssBGGMYMGAA/P39y3xuSUXJ0VH5BVOTUW86LSMQCLB06VIcOXIE+fn5MDQ0VNi25en1pWNkBoFIr/i+YmlxCtsP0V51bEyw0M8NC+GG7LwCRKRkI79ACj2RELUsjWGsr/qPrT/++EPWCkxehUVpyJAhOHfuHBo3bqzEhJqPipEWatKkiezaKEUq7ClW2lCdQKgDg5oN3/UVy0yRnTcSp8Xi7cuwMvdR3p5iRLsZ64vgZsd3yZG3b99i7ty56Nq1K9q0aVPu1+vq6qJTp05KSKZdqBhpsVWrViEyMhK//vqrQrZnrC+CY1WjUnuKAYBZa3+83X0H8b/PhEnjrgCTIjMsGLpWNSFOfFnqax0tjbh88yWkJN9//z2io6PVqjO3NqLxEC2mp6eH1atXIzQ0VGHbLKunGADoV3eBdf9F0DGo8q6vWPgZmLUeDMNaDSEQ6ZX4uk/tKUaIMnTt2hXr1q1D3bp1eUeRUeNeBRVGHRi0mFQqRYcOHfDq1Svcv38fJiaf3tngU3qKJf75I8TJkbD/dkuJz6EODERd5OfnQyQSqd3y3IWk0ncTfdQ1XyHqwEAgFAqxfft2JCcnY+bMmQrZprw9xaTivCJ/F6fG4O2LWzBwbFDs85XRU4yQTzF37lz07NlTrY5CkpKS8PPPPyM+Ph5CoRBCoVCt8n0KKkZazsnJCcuWLcPr169RUKCYi0mX9GkAURnFKHbjSKSd34HMuyeRdnE34ndNh0BHBFOffsU+XyQUYEmf4gsVIar2zz//YOXKlWjXrp1arYZamKVHjx6YNGkSMjIyIBAIEBkZiXbt2iEtLY1zwoqjYlQJjBs3DseOHYNIpJiJAfL0FDNw9kL2vxeRemYTMsOCoGdbBzb+S6Fbtfief6roKUaIPN6+fYvhw4fDx8cH06ZN4x1H5vXr1wgNDUW7du1w69Yt5Obm4sKFCwCA1atXo6CgABYWFhCLxbIhPE1C05YqgcJvUydOnMD169exaNGiT97mwCaOSM7KK3GBPavuU+Telip6ihEir++//x6RkZE4evSo2ixGFxERAX9/f7i6uiIiIgIAYGFhgVu3bqFRo0Y4ePAgpk6dCqlUCl1dXb5hK4iOjCqRiIgI/N///R/Onj2rkO1pUk8xQuRVs2ZN/Pzzz2o1e+7Zs2coKChAYGAgzp07h1GjRuHu3bto2rQpAgMDkZmZiezsbNSrVw8zZ87UyCMjmk1XiUilUnTs2BEvX75U2Ow64N26NHMP38el58nQEQpK7epd+HhrFyss6dOAhuaI2mCMqdX5ofddu3YNI0aMwIgRI9C0aVNs3LgRUVFR+P3339GgQQPs27cP3bp1Q1JSEkaMGIG1a9eiZs2avGMDkP9znIpRJfPq1Ss0aNAA/fv3x/bt2xX6y/csIRN7rkfh3NNERKXkFOnUIMC7C1p9Xa0xuJkjzZojamfy5MkwNDTE0qVLeUcp1osXL7Bs2TKYmppi8+bNCAwMxLNnz3Do0CGEhYXJelHa2Njg9OnT8PT05Jz4HXk/x+mcUSXj5OSE9evX46effsKbN29gYWGhsG2rY08xQuSxbds2rFmzBuvWreMdpUS1a9fG5s2b8ebNG5ibm8Pb2xtffvklRo8eDQDQ0dHBjh074OPjAwcHB85py4+OjCqp3NxcGBgY8I5BCHdXrlyBr68vvvnmG2zYsEFth+o+lJmZiR9++AE6OjqwsLBAq1at0L9/f6xYsQJffvkl9PRK7naiSjRMR8r0+vVrfP3119iyZQtq167NOw4hKvf69Wt4eXmhbt26OHPmjNp8gJdHTEwMpk6dChMTE3h6emL8+PG8IxVBw3SkTMbGxnj9+jX8/Pxw9epVKvik0rG0tIS/vz/mzJmjkYUIAOzt7XHw4EEUFBQo7FpCHmhqdyVmYWGBY8eO4fXr1xg8eLBGTgclpCIYY3j16hUMDQ2xcuVKVKtWjXekT6bJhQigYlTp1a1bF/v27UNwcDDmz5/POw4hKrFkyRJ4eHggISGBdxTyH80upUQhunXrhpUrV8LevvhWPYRok6NHj2L+/PlYuHAhbGxseMch/1HJBIa8vDz4+PggPDwcd+7cQaNGjeR6HU1gUD3GGBITE+mXlGilBw8eoHnz5ujcuTMOHjyo9ssvaAO1WkJi5syZsLOzU8WuyCdatmwZvLy8EBcXxzsKIQrFGMPw4cNRu3Zt7Ny5kwqRmlH6v8bff/+N06dPY/ny5creFVGAr7/+GgKBAB07dkRSUhLvOIQojEAgwP79+3H06FEYGxvzjkM+oNRilJCQgFGjRmH37t0wMiq7B1leXh4yMjKK3Ihq2dnZITQ0FCkpKfj888+RmprKOxIhnyQjIwOTJk1CVlYWateurTY920hRSitGjDEMGzYMY8aMgbe3t1yvCQgIgJmZmeymiS0ttIGrqytCQ0MRExNDR7REo2VlZaFbt27YtWuXbOkFop7KXYxmz54NgUBQ6u3x48dYu3YtMjMzMWfOHLm3PWfOHKSnp8tu0dHR5Y1HFMTNzQ1Xr15VyNpHhPDw9u1b+Pn5ITw8HCdPnoS7uzvvSKQU5Z5Nl5SUhJSUlFKf4+zsjAEDBiAoKKhInyeJRAIdHR34+/tj586dZe6LZtOph3/++QdLlizB3r176d+BaISCggJ069YNV65cwcmTJ9G6dWvekSot7r3poqKiipzziY2NRefOnfHHH3/Ax8cHNWrUKHMbVIzUw9WrV9GlSxfUq1cPJ0+ehLm5Oe9IhJRp+fLl8Pb2Rrt27XhHqdS4F6MPRUREwMnJia4z0lBhYWH4/PPPUatWLZw5cwaWlpa8IxHykTdv3iA0NBT9+vXjHYX8R62uMyKaz8vLC+fPn8fr168xYMAA3nEI+UhKSgo6dOiAb7/9FmlpabzjkHJSWTugWrVqQY1XqyBy8PDwwIULF5CXl8c7CiFFREZGokePHkhISEBoaKhCF40kqkFHRqRc6tWrh0aNGiE/Px+9e/dGSEgI70ikkrtz5w68vb2RnZ2NCxcuoGHDhrwjkQqgYkQqJC8vD3l5eejSpQvWrFlDR72EG2dnZ/Tp0wc3b95EvXr1eMchFUTFiFSIiYkJgoODMWXKFEyePBkjR46k4TvyEcYY/vrrL0yfPl2h2xWLxZg1axZevnwJMzMzbN68mSbVaDhaQoJUmI6ODpYvXw4PDw+MGjUKXbp0Qf/+/XnHImrk2bNn6N+/P6RSKXr06KGQadbJyckYMGAALl26BG9vbzg7O396UMIdHRmRT/b111/j0aNHskIUGxvLORFRF66urhgzZgwAYPz48RCLxZ+0vQcPHqBp06a4f/8+QkND6cuPFqFiRBSi8NvpsWPH4OLiggMHDnBORNTFjz/+CCsrK/z7779Ys2ZNhbfz9u1bfP755zAxMcHNmzfRpk0bBaYkvFExIgr1+eefo2/fvhg4cCDmzZsHqVTKOxLhzMLCAsuWLQMALFy4sNxHzowx5Ofnw9DQEH/++SeuXLmCWrVqKSEp4YmKEVEoQ0ND7N69G8uWLUNAQADat2+PxMRE3rEIZ8OGDUOzZs2QlZVVrskMUVFR6Ny5M0aNGgUAaNGiBapUqaKsmIQjKkZE4QQCAWbOnImzZ8/CzMxMZb3s/vrrL7x69Uol+yLlIxQKsW7dOgiFQuzbtw/nz58v9fmMMWzZsgXu7u549OgRvvrqK9UEJdxQMSJK065dOxw9ehR6enoIDw/H559/jhcvXihlX2lpaRgyZAhcXFxw7949peyDfBpPT0+5JjMUFBSga9euGD16NAYMGIAHDx6gc+fOqoxKOKBiRFTi7du3eP78OTw8PLB27VqFn0vavHkzcnJy4O7ujgYNGih020RxSpvMwBiDVCqFSCRCmzZt8Pfff2Pr1q0wMzPjlJaoFFNj6enpDABLT0/nHYUoQGZmJhs3bhwDwNq0acMiIyMVst38/Hxmb2/PALAdO3YoZJtEebZt28YAsCpVqrCYmBjGGGMRERGsY8eObNWqVXzDEYWT93OcjoyIylSpUgXr1q1DaGgosrOzoaenp5DtHjp0CDExMbCxscHAgQMVsk2iPB9OZti8eTMaNGiAx48fUzufSoyKEVG59u3b4+bNm6hevTpSUlLQv39/PHr0qELbYoxhxYoVAIAJEyZAX19fkVGJEnw4meHbb7+lc0OEihHho3A5+tevXyMsLAzu7u4YOXIkoqOjy7WdS5cu4fbt2zAwMJCdHCfqLSUlBZ6envj2228BAI6OjtiwYQOdG6rkqBgRrho2bIhHjx5h5cqVOHr0KOrUqYMtW7bI/fqVK1cCAIYOHQorKytlxSQK8ObNG8ybNw+Ojo44d+4cfvrpJ1hZWSEqKuqTOjMQ7UDFiHCnr6+PyZMn48WLF5g9e7ZsNtyLFy+QnZ1d4uueP3+OY8eOAQCmTJmiiqikAnJzc7F8+XLUrl0bq1atwuTJk9G4cWNYWFjg559/BlCxzgxEy6hmPkXF0Gy6yq1FixasevXqbMOGDSw/P/+jxydMmMAAsG7dunFI9+mkUinLyspiWVlZTCqV8o6jNAEBAUxHR4eNGTOGxcbGFnlMIpGwZs2aMQBs0KBBnBISZZL3c5yKEVFbL1++ZIMHD2YCgYC5uLiw/fv3M4lEwhhjLDU1lRkZGTEALCQkhHPSisnKymIAGACWlZXFO47CSKVS9tdff7H169czxt79Hj99+rTE54eFhTGhUMgAsLNnz6oqJlERmtpNNJ6TkxN2796Nu3fv4rPPPsPEiRORk5MDANi4cSNycnLg4eGB9u3bc05KgHer/+7Zswc+Pj7o27cvzpw5A8YYTE1NUadOnRJf935nhgkTJnzyMhNEM1ExImrPw8MDwcHBePDgAapUqYLo6GjMnz8fADB48GDZzDzCT0pKChwcHDB48GCYmJggJCQEf/31l9z/NopaZoJoLipGRGNYW1sDAIKDgyGVSmUNWbt27Yrjx49zTle5SKVS/P333xg3bhwYY7C0tMScOXPw6NEjhIaGokOHDuXaHk1mIFSMiEZhjGHr1q0AgO+//x6BgYFISUnBzp07AQD5+fm0ZIUSpaSk4JdffkGdOnXQrVs3XL16FUlJSQCAqVOnom7duhXe9tChQyu0zATREqo4gVVRNIGBfOjChQsMADMwMGBJSUmy+7OzsxljjO3bt4/p6uqyr776il26dEk24UEdacoEhsKZflKplNWpU4fp6emxIUOGsKtXryp8FiBNZtA+NIGBaKWSLnI1MjICAHTq1AlLly7FjRs30Lp1a9jb29M5iArIy8vDyZMnMW7cODg6OuLVq1cQCATYsWMHXr9+jV27dqFZs2YKP19HkxkqLypGRGPIc5Fr1apVMW3aNDx58gQXLlyAv7+/7FzTxYsX0atXL2zbtg0JCQmqiq1xRo0aBSsrK3Tt2hUnT57EF198AR0dHQDvVlqtVq2aUvf/448/wtnZGSNGjFDqfoh6EfEOQIi8Vq9eDcYYunXrVua5CaFQiDZt2qBNmzay+8RiMVJSUmRLWPv4+GDMmDEYOnSoUnOrK8YYnjx5gmPHjuH48eM4cuQILCwsULNmTcydOxd+fn6oX7++ymcrWlhY4MmTJxCJ6OOpMqF/baIR0tLSsH37dgDAtGnTKrSNDh06oEOHDkhKSsKJEydw7NgxxMfHAwAeP36MVatWwcvLC15eXmjQoIHClrhQFxKJRHaEM2vWLBw+fBjPnj2DoaEhOnXqhLS0NFhYWMimzfNEhajyoX9xohEKV3JVxEWu1apVw9ChQ4scEUVERODq1avYunUrpFIpdHV10a9fP+zbtw+MMdy9exdubm4aU6AkEgnu3buHsLAw2e3p06dISkqCrq4ukpKS0K5dO6xcuRIdOnSAoaEh78ikkqNiRNSeWCzG2rVrAbw7KlLGsFGXLl3QpUsX5OTkIDw8HGFhYTAwMADwbpkLT09P6OrqokGDBvDy8oK3tzdGjRoFgUCAt2/fwsDAQOXDWYwxZGZmIi4uDrGxsXjx4gUkEgm+/fZbZGZmwtPTE0KhEPXq1YOXlxcGDx4MsVgMXV1d2VEmIepCwBhjvEOUJCMjA2ZmZkhPT4epqSnvOISTvXv3wt/fHzY2NoiMjFT5Anr5+fm4ffs2wsLCcOvWLYSFhSEmJgYpKSkAADc3N0RERMDW1ha2traws7PD7Nmz0bhxYzx+/BivX7+GnZ0dTE1NIRKJYGxsDBMTE2RmZsr+XyckJEBfXx9isRgFBQWwsrKCSCTC3bt38eDBA8TGxiIuLg5xcXHo27cvBgwYgMOHD6Nv376ynEKhEB07dsSpU6cAADdv3kT9+vVhbGys0veLkPfJ+zlOR0ZErTE1WMlVT08PzZo1Q7NmzWT35efny/78008/4dWrV7JiERsbC6lUCgDYuXMnli5dWmR7w4cPx/bt2/HkyRPZfTY2NkWe8+jRI9StWxerV6/Gjh07YGpqCjs7O9ja2qKgoAAA0LRpU+zbt092v729vWyKOwA0adJEcW8CIUpGR0ZErd24cQM+Pj4wMDBAdHS0xi2g9/btW1mBys7Ohlgshr29PRo3boyYmBjUqFEDABAYGIgqVapAJBJBJBKhbdu2MDExQVpaGvT19YsUGUI0ibyf41SMiFpjjOHSpUt49OiRbJlqbZGdnY0qVaoAALKysmg4jWglGqYjWkEgEHx0vRAhRPtQBwZCCCHcUTEihBDCHRUjQggh3Cm1GB0/fhw+Pj4wNDSEhYUFevfurczdEUIILl++zDsCqQClTWD4888/MWrUKCxZsgTt27dHQUEBHjx4oKzdEUIqudjYWPTo0QOZmZm4du0aqlatSkvSaxClHBkVFBRg8uTJ+OWXXzBmzBi4urqifv36GDBggDJ2RwipxMRiMWbPno0aNWrA19cXz549g6WlJRUiDaOUYnT79m3ExMRAKBSicePGsLW1RdeuXcs8MsrLy0NGRkaRGyGElOT06dMwMzNDREQEAgICkJmZKWuHJJFIOKcj5aGUYvTy5UsAwMKFCzF//nwEBwfDwsIC7dq1Q2pqaomvCwgIgJmZmezm4OCgjHiEEA1XUFCAhg0bomvXrti3bx/279+PWbNmoV+/fpg3bx4AyJbLIJqhXMVo9uzZEAgEpd4eP34s68s1b9489OvXD15eXggMDIRAIMChQ4dK3P6cOXOQnp4uu0VHR3/aT0cI0UoikQjz5s3D7Nmz0atXL9n92dnZcHFxQW5uLsd0pCLKNYHhu+++w7Bhw0p9jrOzM+Li4gAA9evXl92vr68PZ2dnREVFlfhafX19Lo0wCSGaZ8CAAfj555/Ro0cP1K9fH3v37kVgYCCGDx8uW/6DaI5yFaNq1aqhWrVqZT7Py8sL+vr6ePLkCVq1agXg3UnGiIgI1KxZs2JJCdEyRkZGyMrKkv2ZlN+MGTOwePFiXL9+HX5+fhg9ejRGjhyJgoICWi1WwyitUeqUKVPwxx9/YPv27ahZsyZ++eUXBAUF4fHjx7CwsJBrG9QolRBSlqSkJCQnJ8PBwQGXL1/GtWvXsHPnTnz11Vfw8/ODj49PkSXXiWpxb5T6yy+/QCQSYciQIXj79i18fHxw9uxZuQsRIYTIo3DE5tatW1i6dCnq1q2LdevWITY2FjNmzMDFixepEGkAWkKCqNzbt2+hp6dHHxBEoebPn4/s7GysWrVKdl+fPn3Qvn17TJw4kWOyyk3ez3HqTUdUbsaMGdi+fTtevHgBsVjMOw7REo8ePUL79u0BAJmZmQCA5cuXo2bNmlDj79zkP1SMiEoVrnT6+++/Y9q0aVi6dCkePnyIt2/f8o5GNNygQYOwfPlyAICJiQkAoGbNmujevTt1Y9AANExHuNi5cyd27dqFR48ewdraGu3atUP//v1Rt25dWFpa8o5HNNSwYcPwxRdfoEuXLjSbTk3QMB1RW9nZ2Vi7di22b9+O2NhYbNiwARcuXECnTp1w5coV3vGIBvvtt9/g7e1NhUgDUTEiKnf69GmYm5ujZs2akEgkaN68OQ4ePIju3bujWbNmvOMRDValShVUr16ddwxSAVSMiMo1adIEubm52LVrl2xG3alTp1CtWjVYW1tzTkcI4YHOGRGVKLzo8OrVq0hNTUVUVBS2bNkCAPD09ER4eDhWrlyJ1q1bc05KCFEkOmdE1ErhEdCsWbMgkUgwduxYHDlyBDNnzoSVlRUOHDhAhYiQSozO8hGlY4xBIBDg1q1bEIvF8PPzA2MMDg4OGDhwIMRisWwqLiGkcqIjI6J0hdd4ZGVlwd3dXXafQCDAnTt3sGLFCrka8BJCtBcVI6IyDRs2xIULFzBkyBDcunUL2dnZWL58OYYOHco7GiGEMypGRGUsLCwQGhoKGxsbTJgwAV5eXrCzs8O4ceN4RyOEcEaz6YjK5eTkID8/H6mpqXB2duYdhxCiRNyXkCCkJEZGRjAyMoK5uTnvKIQQNUHDdIQQQrijYkQIIYQ7GqYjhLM3b97gn3/+gUAgQIsWLWBmZsY7EiEqR8WIEI7u3r2L7t27w8nJCQ8ePICzszM2b94Mb29v3tEIUSkapiOEo++++w67du3C5cuX4ezsjL///huzZs3iHYsQlaNiRAhHqamp6NChA4B3bZNsbGxkS2YTUplQMSKEo/z8/CJ/T0lJgUQi4ZSGEH6oGBHCUc2aNREeHg7g3UQGT09PzJkzh3MqQlSPihEhHB0+fBj169cHAGzfvh3Xrl3DgQMHOKciRPVoNh0hHNWrVw8fduSKjY1F/fr1MXnyZHz77beckhGiWlSMCOHoyJEjRf4uEAgwYMAABAYGYtiwYVSMSKVBxYgQjjw8PD66r0GDBvDx8YGhoSGHRITwQV27CVFTaWlpsLCw4B2DkE8i7+c4TWAgRE1RISKVCRUjQggh3FExIoQQwh0VI0IIIdxRMSKEEMIdFSNCCCHcUTEihBDCHRUjQggh3FExIoQQwh0VI0IIIdwprRg9ffoUvXr1gpWVFUxNTdGqVSucO3dOWbsjhBCiwZRWjHr06IGCggKcPXsWYWFhaNiwIXr06IH4+Hhl7ZIQQoiGUkoxSk5OxrNnzzB79mx4eHigTp06WLp0KXJycvDgwQNl7JIQQogGU0oxsrS0xGeffYZdu3YhOzsbBQUF2LRpE6ytreHl5VXi6/Ly8pCRkVHkRgghRPspZT0jgUCAkJAQ9O7dGyYmJhAKhbC2tsbJkydL7UQcEBCARYsWKSMSIYQQNVauI6PZs2dDIBCUenv8+DEYYxg/fjysra1x6dIl3LhxA71790bPnj0RFxdX4vbnzJmD9PR02S06OvqTf0BCCCHqr1yL6yUlJSElJaXU5zg7O+PSpUvo1KkT0tLSiiymVKdOHYwYMQKzZ8+Wa3/p6ekwNzdHdHQ0La5HCCEaKCMjAw4ODnjz5g3MzMxKfF65humqVauGatWqlfm8nJwcAIBQWPTASygUQiqVyr2/zMxMAICDg0M5UhJCCFE3mZmZiitG8mrevDksLCwwdOhQ/PDDDzA0NMSWLVvw6tUrdO/eXe7t2NnZITo6GiYmJhAIBMqIWmGF1V6Tj9o0/WfQ9PwA/QzqQNPzA+r9MzDGkJmZCTs7u1Kfp5RiZGVlhZMnT2LevHlo3749xGIx3NzccPToUTRs2FDu7QiFQtSoUUMZERXG1NRU7f7xy0vTfwZNzw/Qz6AOND0/oL4/Q2lHRIWUUowAwNvbG6dOnVLW5gkhhGgR6k1HCCGEOypGFaSvr48FCxZAX1+fd5QK0/SfQdPzA/QzqANNzw9ox89QrqndhBBCiDLQkREhhBDuqBgRQgjhjooRIYQQ7qgYEUII4Y6KkQIdP34cPj4+MDQ0hIWFBXr37s07Urnl5eWhUaNGEAgEuHv3Lu84couIiMCIESPg5OQEQ0ND1K5dGwsWLEB+fj7vaKVat24datWqBQMDA/j4+ODGjRu8I8klICAATZo0gYmJCaytrdG7d288efKEd6wKW7p0KQQCAaZMmcI7SrnExMRg8ODBsLS0hKGhIRo0aIBbt27xjlUhVIwU5M8//8SQIUMwfPhwhIeH48qVK/jqq694xyq3mTNnltm2Qx09fvwYUqkUmzZtwsOHD7Fq1Sps3LgRc+fO5R2tRAcOHMC0adOwYMEC3L59Gw0bNkTnzp2RmJjIO1qZLly4gPHjx+PatWs4c+YMxGIxOnXqhOzsbN7Ryu3mzZvYtGkTPDw8eEcpl7S0NLRs2RK6urr4+++/8e+//2LFihWlLtOj1hj5ZGKxmNnb27OtW7fyjvJJTpw4werWrcsePnzIALA7d+7wjvRJfv75Z+bk5MQ7RomaNm3Kxo8fL/u7RCJhdnZ2LCAggGOqiklMTGQA2IULF3hHKZfMzExWp04ddubMGda2bVs2efJk3pHkNmvWLNaqVSveMRSGjowU4Pbt24iJiYFQKETjxo1ha2uLrl27atQS6wkJCRg1ahR2794NIyMj3nEUIj09HVWrVuUdo1j5+fkICwtDx44dZfcJhUJ07NgRV69e5ZisYtLT0wFAbd/vkowfPx7du3cv8u+gKY4dOwZvb2/0798f1tbWaNy4MbZs2cI7VoVRMVKAly9fAgAWLlyI+fPnIzg4GBYWFmjXrh1SU1M5pysbYwzDhg3DmDFj4O3tzTuOQjx//hxr167Ft99+yztKsZKTkyGRSGBjY1PkfhsbG8THx3NKVTFSqRRTpkxBy5Yt4e7uzjuO3Pbv34/bt28jICCAd5QKefnyJTZs2IA6derg1KlTGDt2LCZNmoSdO3fyjlYhVIxKIe/KtoVrNM2bNw/9+vWDl5cXAgMDIRAIcOjQIbXPv3btWmRmZmLOnDncspZE3p/hfTExMejSpQv69++PUaNGcUpeeYwfPx4PHjzA/v37eUeRW3R0NCZPnow9e/bAwMCAd5wKkUql8PT0xJIlS9C4cWOMHj0ao0aNwsaNG3lHqxClde3WBt999x2GDRtW6nOcnZ1lS6nXr19fdr++vj6cnZ0RFRWlzIilkjf/2bNncfXq1Y/6Wnl7e8Pf35/rNy15f4ZCsbGx8PX1RYsWLbB582Ylp6s4Kysr6OjoICEhocj9CQkJqF69OqdU5TdhwgQEBwfj4sWLar/cy/vCwsKQmJgIT09P2X0SiQQXL17Eb7/9hry8POjo6HBMWDZbW9sinzkAUK9ePfz555+cEn0aKkalkHdlWy8vL+jr6+PJkydo1aoVAEAsFiMiIgI1a9ZUdswSyZt/zZo1+PHHH2V/j42NRefOnXHgwAH4+PgoM2KZ5P0ZgHdHRL6+vrIj0w9XGlYnenp68PLyQmhoqOwSAKlUitDQUEyYMIFvODkwxjBx4kQcPnwY58+fh5OTE+9I5dKhQwfcv3+/yH3Dhw9H3bp1MWvWLLUvRADQsmXLj6bTP336lOtnzifhPYNCW0yePJnZ29uzU6dOscePH7MRI0Ywa2trlpqayjtaub169UrjZtO9fv2aubi4sA4dOrDXr1+zuLg42U1d7d+/n+nr67MdO3awf//9l40ePZqZm5uz+Ph43tHKNHbsWGZmZsbOnz9f5L3OycnhHa3CNG023Y0bN5hIJGI//fQTe/bsGduzZw8zMjJiv//+O+9oFULFSEHy8/PZd999x6ytrZmJiQnr2LEje/DgAe9YFaKJxSgwMJABKPamztauXcscHR2Znp4ea9q0Kbt27RrvSHIp6b0ODAzkHa3CNK0YMcZYUFAQc3d3Z/r6+qxu3bps8+bNvCNVGC0hQQghhDv1HVQnhBBSaVAxIoQQwh0VI0IIIdxRMSKEEMIdFSNCCCHcUTEihBDCHRUjQggh3FExIoQQwh0VI0IIIdxRMSKEEMIdFSNCCCHcUTEihBDC3f8D7VeErDGI3eYAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Recreating the sprial example from Arya \n",
+    "\n",
+    "# Create the graph\n",
+    "Spiral = EmbeddedGraph()\n",
+    "Spiral.add_node('a', .5, 0)\n",
+    "Spiral.add_node('b', 1, 1)\n",
+    "Spiral.add_node('c', -1.5, -.5)\n",
+    "Spiral.add_node('d', 3, -2.5)\n",
+    "Spiral.add_node('e',1.5,2)\n",
+    "Spiral.add_node('f',-1.5,2)\n",
+    "Spiral.add_node('g', -3,-3)\n",
+    "\n",
+    "nodelist = list(Spiral.nodes())\n",
+    "nodelist.sort()\n",
+    "for i in range(len(nodelist)-1):\n",
+    "    Spiral.add_edge(nodelist[i], nodelist[i+1])\n",
+    "\n",
+    "Spiral.plot(angle_labels_circle=True, edges_only=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Spiral.plot(angle_labels_circle=True, edges_only=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Angle</th>\n",
+       "      <th>Swapped Verts</th>\n",
+       "      <th>Sorted list</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>gcfabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>gcfabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>gcfadbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.79</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>gcdafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.15</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>gcdafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>gdcafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>gdcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>gdcabef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>dgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>dgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.27</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>dgabecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>dagbecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>dabgecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>dabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>dabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.68</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>debacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>debacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>3.14</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>debacfg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>3.46</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>debafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>edbafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>ebfadcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>ebfadcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.33</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>ebfacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>4.71</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>efbacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.79</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>febacdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.96</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>febcagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>5.25</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>febcagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>fcebagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>5.42</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>fcebagd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>5.50</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>fcegbad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>5.55</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>fcegbad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>5.74</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>fcgebad</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>fgcabed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.99</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>fgcabed</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Angle             Swapped Verts Sorted list\n",
+       "0    0.00                  [(c, f)]     gcfabed\n",
+       "1    0.32                  [(d, e)]     gcfabed\n",
+       "2    0.52                  [(b, d)]     gcfadbe\n",
+       "3    0.79  [(a, d), (f, a), (f, d)]     gcdafbe\n",
+       "4    1.15                  [(c, d)]     gcdafbe\n",
+       "5    1.19                  [(b, f)]     gdcafbe\n",
+       "6    1.57                  [(e, f)]     gdcabfe\n",
+       "7    1.65                  [(d, g)]     gdcabef\n",
+       "8    1.82                  [(a, c)]     dgacbef\n",
+       "9    2.11                  [(b, c)]     dgacbef\n",
+       "10   2.27                  [(c, e)]     dgabecf\n",
+       "11   2.28                  [(a, g)]     dagbecf\n",
+       "12   2.36                  [(b, g)]     dabgecf\n",
+       "13   2.41                  [(e, g)]     dabegcf\n",
+       "14   2.60                  [(c, g)]     dabegcf\n",
+       "15   2.68  [(a, b), (a, e), (b, e)]     debacgf\n",
+       "16   2.85                  [(f, g)]     debacgf\n",
+       "17   3.14                  [(c, f)]     debacfg\n",
+       "18   3.46                  [(d, e)]     debafcg\n",
+       "19   3.66                  [(b, d)]     edbafcg\n",
+       "20   3.93  [(a, d), (f, a), (f, d)]     ebfadcg\n",
+       "21   4.29                  [(c, d)]     ebfadcg\n",
+       "22   4.33                  [(b, f)]     ebfacdg\n",
+       "23   4.71                  [(e, f)]     efbacdg\n",
+       "24   4.79                  [(d, g)]     febacdg\n",
+       "25   4.96                  [(a, c)]     febcagd\n",
+       "26   5.25                  [(b, c)]     febcagd\n",
+       "27   5.41                  [(c, e)]     fcebagd\n",
+       "28   5.42                  [(a, g)]     fcebagd\n",
+       "29   5.50                  [(b, g)]     fcegbad\n",
+       "30   5.55                  [(e, g)]     fcegbad\n",
+       "31   5.74                  [(c, g)]     fcgebad\n",
+       "32   5.82  [(a, b), (a, e), (b, e)]     fgcabed\n",
+       "33   5.99                  [(f, g)]     fgcabed"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = Spiral.get_all_angles('dict', num_rounding_digits=2, opposites = True)\n",
+    "keys = list(All_Angles.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns = ['Angle', 'Swapped Verts', 'Sorted list'])\n",
+    "pd_table['Angle'] = keys\n",
+    "pd_table['Swapped Verts'] = [All_Angles[key] for key in keys]\n",
+    "\n",
+    "\n",
+    "\n",
+    "pd_table.sort_values(by='Angle', inplace=True)\n",
+    "pd_table['Sorted list'] = [''.join(Spiral.sort_vertices(key)) for key in keys]\n",
+    "pd_table.head(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys([5.82, 1.82, 3.93, 2.28, 2.11, 3.66, 1.19, 2.36, 4.29, 5.41, 0.0, 2.6, 0.32, 1.65, 1.57, 2.41, 2.85, 2.68, 4.96, 0.79, 5.42, 5.25, 0.52, 4.33, 5.5, 1.15, 2.27, 3.14, 5.74, 3.46, 4.79, 4.71, 5.55, 5.99])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>angle</th>\n",
+       "      <th>vertex_pair(s)_swapped</th>\n",
+       "      <th>sorted_order_at_next_midpoint</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>[g, c, f, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>[g, c, f, a, d, b, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.04</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>[g, c, d, a, f, b, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>[g, d, c, a, b, f, e]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>[g, d, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>[d, g, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.73</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>[d, g, c, a, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>[d, g, a, c, b, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>[d, g, a, b, c, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2.24</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>[d, g, a, b, c, e, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>[d, a, g, b, e, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>[d, a, b, g, e, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.49</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>[d, a, b, e, g, c, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>[d, e, b, a, c, g, f]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>[d, e, b, a, c, f, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>3.02</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>[d, e, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>3.37</td>\n",
+       "      <td>[(a, d), (f, a), (f, d)]</td>\n",
+       "      <td>[e, d, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>3.59</td>\n",
+       "      <td>[(c, f)]</td>\n",
+       "      <td>[e, d, b, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>[e, b, d, a, f, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>[e, b, f, a, d, c, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>4.47</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>4.50</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.59</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>[e, f, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>4.72</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>[f, e, b, a, c, d, g]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>4.87</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>[f, e, b, c, a, g, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>[f, c, e, b, g, a, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>5.47</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>[f, c, g, e, b, a, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>[g, f, c, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>6.26</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>[g, f, c, a, b, e, d]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    angle    vertex_pair(s)_swapped sorted_order_at_next_midpoint\n",
+       "0    0.00                  [(c, f)]         [g, c, f, a, b, e, d]\n",
+       "1    0.32                  [(d, e)]         [g, c, f, a, d, b, e]\n",
+       "2    1.04                  [(b, f)]         [g, c, d, a, f, b, e]\n",
+       "3    1.19                  [(b, f)]         [g, d, c, a, b, f, e]\n",
+       "4    1.57                  [(e, f)]         [g, d, c, a, b, e, f]\n",
+       "5    1.65                  [(d, g)]         [d, g, c, a, b, e, f]\n",
+       "6    1.73                  [(c, e)]         [d, g, c, a, b, e, f]\n",
+       "7    1.82                  [(a, c)]         [d, g, a, c, b, e, f]\n",
+       "8    2.11                  [(b, c)]         [d, g, a, b, c, e, f]\n",
+       "9    2.24                  [(e, f)]         [d, g, a, b, c, e, f]\n",
+       "10   2.28                  [(a, g)]         [d, a, g, b, e, c, f]\n",
+       "11   2.36                  [(b, g)]         [d, a, b, g, e, c, f]\n",
+       "12   2.41                  [(e, g)]         [d, a, b, e, g, c, f]\n",
+       "13   2.49                  [(d, g)]         [d, a, b, e, g, c, f]\n",
+       "14   2.52                  [(b, d)]         [d, a, b, e, g, c, f]\n",
+       "15   2.60                  [(c, g)]         [d, e, b, a, c, g, f]\n",
+       "16   2.85                  [(f, g)]         [d, e, b, a, c, f, g]\n",
+       "17   3.02                  [(a, c)]         [d, e, b, a, f, c, g]\n",
+       "18   3.37  [(a, d), (f, a), (f, d)]         [e, d, b, a, f, c, g]\n",
+       "19   3.59                  [(c, f)]         [e, d, b, a, f, c, g]\n",
+       "20   3.66                  [(b, d)]         [e, b, d, a, f, c, g]\n",
+       "21   3.93                  [(b, c)]         [e, b, f, a, d, c, g]\n",
+       "22   4.29                  [(c, d)]         [e, f, b, a, c, d, g]\n",
+       "23   4.47                  [(a, g)]         [e, f, b, a, c, d, g]\n",
+       "24   4.50                  [(c, d)]         [e, f, b, a, c, d, g]\n",
+       "25   4.59                  [(d, e)]         [e, f, b, a, c, d, g]\n",
+       "26   4.72                  [(b, g)]         [f, e, b, a, c, d, g]\n",
+       "27   4.87                  [(e, g)]         [f, e, b, c, a, g, d]\n",
+       "28   5.41                  [(c, e)]         [f, c, e, b, g, a, d]\n",
+       "29   5.47                  [(c, g)]         [f, c, g, e, b, a, d]\n",
+       "30   5.82  [(a, b), (a, e), (b, e)]         [g, f, c, a, b, e, d]\n",
+       "31   6.26                  [(f, g)]         [g, f, c, a, b, e, d]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = Spiral.get_all_angles('dict', num_rounding_digits=2)\n",
+    "\n",
+    "# add pi + angle for all angles \n",
+    "All_Angles_2pi = {}\n",
+    "for key in All_Angles.keys():\n",
+    "    All_Angles_2pi[round(key,2)] = All_Angles[key]\n",
+    "    other_key = (key + np.pi) % 2*np.pi\n",
+    "    other_key = round(other_key, 2)\n",
+    "    All_Angles_2pi[other_key] = All_Angles[key]\n",
+    "\n",
+    "keys = list(All_Angles_2pi.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns=['angle', 'vertex_pair(s)_swapped', 'sorted_order_at_next_midpoint'])\n",
+    "pd_table['angle'] = keys\n",
+    "pd_table['vertex_pair(s)_swapped'] = [All_Angles_2pi[key] for key in keys]\n",
+    "\n",
+    "# sort the vertex pairs at the midpoint\n",
+    "\n",
+    "for i in range(len(keys)-1):\n",
+    "    angle = np.average([keys[i], keys[i+1]])\n",
+    "    sorted_order = Spiral.sort_vertices(angle)\n",
+    "    pd_table.at[i, 'sorted_order_at_next_midpoint'] = sorted_order\n",
+    "\n",
+    "angle = np.average([keys[-1], keys[0]+2*np.pi])\n",
+    "sorted_order = Spiral.sort_vertices(angle)\n",
+    "pd_table.at[len(keys)-1, 'sorted_order_at_next_midpoint'] = sorted_order\n",
+    "\n",
+    "pd_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['a', 'b', 'c', 'd', 'e', 'f', 'g']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nodelist"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Modified version breaking the spiral"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Modified version with vertex added between C and D\n",
+    "\n",
+    "# Create the graph\n",
+    "G = EmbeddedGraph()\n",
+    "G.add_node('a', .5, 0)\n",
+    "G.add_node('b', 1, 1)\n",
+    "G.add_node('c', -1.5, -.5)\n",
+    "G.add_node('X', 1.5, -1)\n",
+    "G.add_node('d', 3, -2.5)\n",
+    "G.add_node('e',1.5,2)\n",
+    "G.add_node('f',-1.5,2)\n",
+    "G.add_node('g', -3,-3)\n",
+    "\n",
+    "nodelist = ['a', 'b', 'c','X',  'd', 'e', 'f', 'g']\n",
+    "for i in range(len(nodelist)-1):\n",
+    "    G.add_edge(nodelist[i], nodelist[i+1])\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(angle_labels_circle=True, edges_only=True, ax = ax)\n",
+    "# remove axes \n",
+    "ax.set_axis_off()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.colorbar.Colorbar at 0x30be90c90>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 480x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.matshow(G.get_all_angles()[0])\n",
+    "plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Angle</th>\n",
+       "      <th>Swapped Verts</th>\n",
+       "      <th>Sorted list</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>[(c, f), (X, e)]</td>\n",
+       "      <td>gcfabXed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.25</td>\n",
+       "      <td>[(b, X)]</td>\n",
+       "      <td>gcfaXbed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.32</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>gcfaXbed</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.52</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>gcfaXdbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.79</td>\n",
+       "      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>\n",
+       "      <td>gcdXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.15</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>gcdXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.19</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>gdcXafbe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.41</td>\n",
+       "      <td>[(c, X)]</td>\n",
+       "      <td>gdXcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.57</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>gdXcabfe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.65</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>gdXcabef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.82</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>dgXacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.99</td>\n",
+       "      <td>[(X, g)]</td>\n",
+       "      <td>dXgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.11</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>dXgacbef</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2.27</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>dXgabecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.28</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>dXagbecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.36</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>dXabgecf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.41</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>dXabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2.60</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>dXabegcf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2.68</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>dXebacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2.85</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>dXebacgf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>3.14</td>\n",
+       "      <td>[(c, f), (X, e)]</td>\n",
+       "      <td>dXebacfg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>3.39</td>\n",
+       "      <td>[(b, X)]</td>\n",
+       "      <td>debXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>3.46</td>\n",
+       "      <td>[(d, e)]</td>\n",
+       "      <td>debXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>3.66</td>\n",
+       "      <td>[(b, d)]</td>\n",
+       "      <td>edbXafcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>3.93</td>\n",
+       "      <td>[(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]</td>\n",
+       "      <td>ebfaXdcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>4.29</td>\n",
+       "      <td>[(c, d)]</td>\n",
+       "      <td>ebfaXdcg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>4.33</td>\n",
+       "      <td>[(b, f)]</td>\n",
+       "      <td>ebfaXcdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>4.55</td>\n",
+       "      <td>[(c, X)]</td>\n",
+       "      <td>efbacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>4.71</td>\n",
+       "      <td>[(e, f)]</td>\n",
+       "      <td>efbacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>4.79</td>\n",
+       "      <td>[(d, g)]</td>\n",
+       "      <td>febacXdg</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>4.96</td>\n",
+       "      <td>[(a, c)]</td>\n",
+       "      <td>febcaXgd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>5.13</td>\n",
+       "      <td>[(X, g)]</td>\n",
+       "      <td>febcaXgd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>5.25</td>\n",
+       "      <td>[(b, c)]</td>\n",
+       "      <td>febcagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>5.41</td>\n",
+       "      <td>[(c, e)]</td>\n",
+       "      <td>fcebagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>5.42</td>\n",
+       "      <td>[(a, g)]</td>\n",
+       "      <td>fcebagXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>5.50</td>\n",
+       "      <td>[(b, g)]</td>\n",
+       "      <td>fcegbaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>5.55</td>\n",
+       "      <td>[(e, g)]</td>\n",
+       "      <td>fcegbaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>5.74</td>\n",
+       "      <td>[(c, g)]</td>\n",
+       "      <td>fcgebaXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>5.82</td>\n",
+       "      <td>[(a, b), (a, e), (b, e)]</td>\n",
+       "      <td>fgcabeXd</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>5.99</td>\n",
+       "      <td>[(f, g)]</td>\n",
+       "      <td>fgcabeXd</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Angle                                     Swapped Verts Sorted list\n",
+       "0    0.00                                  [(c, f), (X, e)]    gcfabXed\n",
+       "1    0.25                                          [(b, X)]    gcfaXbed\n",
+       "2    0.32                                          [(d, e)]    gcfaXbed\n",
+       "3    0.52                                          [(b, d)]    gcfaXdbe\n",
+       "4    0.79  [(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]    gcdXafbe\n",
+       "5    1.15                                          [(c, d)]    gcdXafbe\n",
+       "6    1.19                                          [(b, f)]    gdcXafbe\n",
+       "7    1.41                                          [(c, X)]    gdXcabfe\n",
+       "8    1.57                                          [(e, f)]    gdXcabfe\n",
+       "9    1.65                                          [(d, g)]    gdXcabef\n",
+       "10   1.82                                          [(a, c)]    dgXacbef\n",
+       "11   1.99                                          [(X, g)]    dXgacbef\n",
+       "12   2.11                                          [(b, c)]    dXgacbef\n",
+       "13   2.27                                          [(c, e)]    dXgabecf\n",
+       "14   2.28                                          [(a, g)]    dXagbecf\n",
+       "15   2.36                                          [(b, g)]    dXabgecf\n",
+       "16   2.41                                          [(e, g)]    dXabegcf\n",
+       "17   2.60                                          [(c, g)]    dXabegcf\n",
+       "18   2.68                          [(a, b), (a, e), (b, e)]    dXebacgf\n",
+       "19   2.85                                          [(f, g)]    dXebacgf\n",
+       "20   3.14                                  [(c, f), (X, e)]    dXebacfg\n",
+       "21   3.39                                          [(b, X)]    debXafcg\n",
+       "22   3.46                                          [(d, e)]    debXafcg\n",
+       "23   3.66                                          [(b, d)]    edbXafcg\n",
+       "24   3.93  [(a, X), (a, d), (f, a), (X, d), (f, X), (f, d)]    ebfaXdcg\n",
+       "25   4.29                                          [(c, d)]    ebfaXdcg\n",
+       "26   4.33                                          [(b, f)]    ebfaXcdg\n",
+       "27   4.55                                          [(c, X)]    efbacXdg\n",
+       "28   4.71                                          [(e, f)]    efbacXdg\n",
+       "29   4.79                                          [(d, g)]    febacXdg\n",
+       "30   4.96                                          [(a, c)]    febcaXgd\n",
+       "31   5.13                                          [(X, g)]    febcaXgd\n",
+       "32   5.25                                          [(b, c)]    febcagXd\n",
+       "33   5.41                                          [(c, e)]    fcebagXd\n",
+       "34   5.42                                          [(a, g)]    fcebagXd\n",
+       "35   5.50                                          [(b, g)]    fcegbaXd\n",
+       "36   5.55                                          [(e, g)]    fcegbaXd\n",
+       "37   5.74                                          [(c, g)]    fcgebaXd\n",
+       "38   5.82                          [(a, b), (a, e), (b, e)]    fgcabeXd\n",
+       "39   5.99                                          [(f, g)]    fgcabeXd"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "All_Angles = G.get_all_angles('dict', num_rounding_digits=2, opposites = True)\n",
+    "keys = list(All_Angles.keys())\n",
+    "keys.sort()\n",
+    "\n",
+    "pd_table = pd.DataFrame(columns = ['Angle', 'Swapped Verts', 'Sorted list'])\n",
+    "pd_table['Angle'] = keys\n",
+    "pd_table['Swapped Verts'] = [All_Angles[key] for key in keys]\n",
+    "\n",
+    "\n",
+    "\n",
+    "pd_table.sort_values(by='Angle', inplace=True)\n",
+    "pd_table['Sorted list'] = [''.join(G.sort_vertices(key)) for key in keys]\n",
+    "pd_table.head(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/notebooks/Tutorial-ECT_for_CW_Complexes.html b/docs/notebooks/Tutorial-ECT_for_CW_Complexes.html
index 611c838..4b1f1f8 100644
--- a/docs/notebooks/Tutorial-ECT_for_CW_Complexes.html
+++ b/docs/notebooks/Tutorial-ECT_for_CW_Complexes.html
@@ -86,6 +86,7 @@
 <li class="toctree-l3"><a class="reference internal" href="Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../contributing.html">4. Contributing</a><ul>
@@ -133,7 +134,7 @@
 <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a class="headerlink" href="#Tutorial:-ECT-for-CW-complexes" title="Link to this heading"></a></h1>
 <p>This tutorial walks you through how to build a CW complex with the <code class="docutils literal notranslate"><span class="pre">EmbeddedCW</span></code> class, and then use the <code class="docutils literal notranslate"><span class="pre">ECT</span></code> class to compute the Euler characteristic transform</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">ect</span> <span class="kn">import</span> <span class="n">ECT</span><span class="p">,</span> <span class="n">EmbeddedCW</span><span class="p">,</span> <span class="n">create_example_cw</span>
@@ -143,7 +144,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>The CW complex is the same as the <code class="docutils literal notranslate"><span class="pre">EmbeddedGraph</span></code> class with that additional ability to add faces. Faces are added by passing in a list of vertices. Note that we are generally assuming that these vertices follow around an empty region (as in, no other vertex is in the interior) in the graph bounded by the vertices, and further that all edges are already included in the graph. However the class does not yet check for this so you need to be careful!</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">K</span> <span class="o">=</span> <span class="n">EmbeddedCW</span><span class="p">()</span>
@@ -157,13 +158,13 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 
 <span class="n">K</span><span class="o">.</span><span class="n">add_face</span><span class="p">([</span><span class="s1">&#39;A&#39;</span><span class="p">,</span> <span class="s1">&#39;B&#39;</span><span class="p">,</span> <span class="s1">&#39;C&#39;</span><span class="p">,</span> <span class="s1">&#39;D&#39;</span><span class="p">])</span>
 
-<span class="n">K</span><span class="o">.</span><span class="n">set_centered_coordinates</span><span class="p">(</span><span class="nb">type</span> <span class="o">=</span> <span class="s1">&#39;min_max&#39;</span><span class="p">)</span>
+<span class="n">K</span><span class="o">.</span><span class="n">set_centered_coordinates</span><span class="p">()</span>
 <span class="n">K</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
 </pre></div>
 </div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -180,16 +181,16 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>Just to have something a bit more interesting, let’s make a more complicated example that’s built into the class.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">K</span> <span class="o">=</span> <span class="n">create_example_cw</span><span class="p">()</span>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">K</span> <span class="o">=</span> <span class="n">create_example_cw</span><span class="p">(</span><span class="n">centered</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
 <span class="n">K</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">bounding_circle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -206,7 +207,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>We can also color the nodes based on a function value for a given direction.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[11]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">theta</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="o">/</span><span class="mi">7</span>
@@ -215,7 +216,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[11]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -232,7 +233,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>The function value for any direction can be computed and returned for vertices, edges, or faces. The function value for an edge or face <span class="math notranslate nohighlight">\(\sigma\)</span> is given by <span class="math notranslate nohighlight">\(g_\omega(\sigma) = \max_{v \in \sigma}\{f(v)\}\)</span>. Here we show the function values for the triangle <code class="docutils literal notranslate"><span class="pre">KDC</span></code> and its faces.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[12]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">vert_g</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">g_omega</span><span class="p">(</span><span class="n">theta</span><span class="p">)</span>
@@ -266,7 +267,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>As with the <code class="docutils literal notranslate"><span class="pre">EmbeddedGraph</span></code> class, we can initialize the <code class="docutils literal notranslate"><span class="pre">ECT</span></code> class by deciding how many directions and how many thresholds to use.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[13]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myect</span> <span class="o">=</span> <span class="n">ECT</span><span class="p">(</span><span class="n">num_dirs</span> <span class="o">=</span> <span class="mi">100</span><span class="p">,</span><span class="n">num_thresh</span> <span class="o">=</span> <span class="mi">80</span><span class="p">)</span>
@@ -275,7 +276,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>Then we can compute the ECC for a single direction. In this case, the <span class="math notranslate nohighlight">\(x\)</span>-axis will be computed for the <code class="docutils literal notranslate"><span class="pre">num_thresh=80</span></code> stopping points in the interval <span class="math notranslate nohighlight">\([-1.2r,1.2r]\)</span> where <span class="math notranslate nohighlight">\(r\)</span> is the minimum bounding radius for the input complex.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[14]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">r</span> <span class="o">=</span> <span class="n">K</span><span class="o">.</span><span class="n">get_bounding_radius</span><span class="p">()</span>
@@ -284,7 +285,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 </div>
 <div class="nboutput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[14]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -298,7 +299,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>But of course it’s easier to see this in a plot. This command calculates the ECC and immediately plots it.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[15]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myect</span><span class="o">.</span><span class="n">plotECC</span><span class="p">(</span><span class="n">K</span><span class="p">,</span><span class="n">theta</span><span class="p">,</span><span class="mf">1.2</span><span class="o">*</span><span class="n">r</span><span class="p">)</span>
@@ -314,7 +315,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>Similarly, we can compute the ECT and return the matrix. We make sure to internally set the bounding radius to use to control the <span class="math notranslate nohighlight">\(y\)</span> axis of the plot.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[16]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myect</span><span class="o">.</span><span class="n">set_bounding_radius</span><span class="p">(</span><span class="mf">1.2</span><span class="o">*</span><span class="n">r</span><span class="p">)</span>
@@ -323,7 +324,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 </div>
 <div class="nboutput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[16]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -339,7 +340,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>Once it’s been computed, we can use the internal plotting function to take a look.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[17]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myect</span><span class="o">.</span><span class="n">plotECT</span><span class="p">()</span>
@@ -364,7 +365,7 @@ <h1><span class="section-number">3.2. </span>Tutorial: ECT for CW complexes<a cl
 </div>
 <p>Similarly we can take a look at the SECT. This one was computed when we asked to compute the ECT.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[18]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[11]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myect</span><span class="o">.</span><span class="n">plotSECT</span><span class="p">()</span>
diff --git a/docs/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb b/docs/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
index f748910..c19d638 100644
--- a/docs/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
+++ b/docs/notebooks/Tutorial-ECT_for_CW_Complexes.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -37,7 +37,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -64,7 +64,7 @@
     "\n",
     "K.add_face(['A', 'B', 'C', 'D'])\n",
     "\n",
-    "K.set_centered_coordinates(type = 'min_max')\n",
+    "K.set_centered_coordinates()\n",
     "K.plot()"
    ]
   },
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -86,7 +86,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -102,7 +102,7 @@
     }
    ],
    "source": [
-    "K = create_example_cw()\n",
+    "K = create_example_cw(centered = True)\n",
     "K.plot(bounding_circle=True)"
    ]
   },
@@ -115,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -124,7 +124,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +223,7 @@
        "       -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1])"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -242,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -269,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -284,7 +284,7 @@
        "       [ 0.,  0.,  0., ..., -1., -1., -1.]])"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -303,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -338,7 +338,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
diff --git a/docs/notebooks/Tutorial-ECT_for_embedded_graphs.html b/docs/notebooks/Tutorial-ECT_for_embedded_graphs.html
index 3b29dc0..2fe06d2 100644
--- a/docs/notebooks/Tutorial-ECT_for_embedded_graphs.html
+++ b/docs/notebooks/Tutorial-ECT_for_embedded_graphs.html
@@ -86,6 +86,7 @@
 <li class="toctree-l3"><a class="reference internal" href="Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../contributing.html">4. Contributing</a><ul>
@@ -133,7 +134,7 @@
 <h1><span class="section-number">3.1. </span>Tutorial : ECT for embedded graphs<a class="headerlink" href="#Tutorial-:-ECT-for-embedded-graphs" title="Link to this heading"></a></h1>
 <p>This jupyter notebook will walk you through using the <code class="docutils literal notranslate"><span class="pre">ect</span></code> package to compute the Euler characteristic transform of a 2D embedded graph. This tutorial assumes you already know what an ECT is; see <a class="reference external" href="https://arxiv.org/abs/2310.10395">this paper</a> for a more thorough treatment of details.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">ect</span> <span class="kn">import</span> <span class="n">ECT</span><span class="p">,</span> <span class="n">EmbeddedGraph</span><span class="p">,</span> <span class="n">create_example_graph</span>
@@ -148,7 +149,7 @@ <h1><span class="section-number">3.1. </span>Tutorial : ECT for embedded graphs<
 <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a class="headerlink" href="#Constructing-the-embedded-graph" title="Link to this heading"></a></h2>
 <p>We assume our input is an undirected graph <span class="math notranslate nohighlight">\(G\)</span> with an embedding in 2D given by a map on the vertices <span class="math notranslate nohighlight">\(f: V(G) \to \mathbb{R}^2\)</span>. A graph can be constructed as follows.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Construct an example graph</span>
@@ -176,7 +177,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -193,7 +194,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 <p>The coordinates of all vertices, given as a dictionary, can be accessed using the <code class="docutils literal notranslate"><span class="pre">coordinates</span></code> attribute.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">G</span><span class="o">.</span><span class="n">coordinates</span>
@@ -201,7 +202,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 </div>
 <div class="nboutput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -211,7 +212,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 <p>Because of the rotational aspect of the ECT, we often want our graph to be centered, so you can use the <code class="docutils literal notranslate"><span class="pre">set_mean_centered_coordinates</span></code> method shift the graph to have the average of the vertex coordinates be 0. Note that this does overwrite the coordinates of the points.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">G</span><span class="o">.</span><span class="n">set_centered_coordinates</span><span class="p">(</span><span class="nb">type</span> <span class="o">=</span> <span class="s1">&#39;min_max&#39;</span><span class="p">)</span>
@@ -229,7 +230,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -246,7 +247,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 <p>To get a bounding radius we can use the <code class="docutils literal notranslate"><span class="pre">get_bounding_radius</span></code> method.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[58]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># This is actually getting the radius</span>
@@ -263,11 +264,11 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-The radius of bounding circle centered at the origin is 3.4197140881138655
+The radius of bounding circle centered at the origin is 3.2015621187164243
 </pre></div></div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[58]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -284,7 +285,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 <p>We can also rescale our graph to have unit radius using <code class="docutils literal notranslate"><span class="pre">rescale_to_unit_disk</span></code></p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[60]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">G</span><span class="o">.</span><span class="n">rescale_to_unit_disk</span><span class="p">(</span><span class="n">preserve_center</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
@@ -315,7 +316,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 \[g_\omega(v) = \langle f(v), \omega\rangle.\]</div>
 <p>This is done in the code using the <code class="docutils literal notranslate"><span class="pre">g_omega</span></code> method as shown.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># This gives the function value of the nodes as a dictionary</span>
@@ -324,21 +325,21 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 </div>
 <div class="nboutput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[7]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-{&#39;A&#39;: 0.11785113019775861,
- &#39;B&#39;: 0.11785113019775795,
- &#39;C&#39;: -0.5892556509887904,
- &#39;D&#39;: -1.2963624321753375,
- &#39;E&#39;: 1.532064692570853,
- &#39;F&#39;: 0.11785113019775761}
+{&#39;A&#39;: 0.11043152607484681,
+ &#39;B&#39;: 0.11043152607484658,
+ &#39;C&#39;: -0.11043152607484681,
+ &#39;D&#39;: -0.3312945782245397,
+ &#39;E&#39;: 0.5521576303742327,
+ &#39;F&#39;: 0.11043152607484646}
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># This input to the plotting function will color the nodes by function value.</span>
@@ -347,7 +348,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -363,7 +364,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 </div>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Here&#39;s an example in another direction.</span>
@@ -372,7 +373,7 @@ <h2><span class="section-number">3.1.1. </span>Constructing the embedded graph<a
 </div>
 </div>
 <div class="nboutput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
 </pre></div>
 </div>
 <div class="output_area docutils container">
@@ -398,7 +399,7 @@ <h2><span class="section-number">3.1.2. </span>Computing the ECT of <span class=
 \end{matrix}\end{split}\]</div>
 <p>When we initialize the <code class="docutils literal notranslate"><span class="pre">ECT</span></code> object, we specify the number of directions in <span class="math notranslate nohighlight">\(\mathbb{S}^1\)</span> to use with <code class="docutils literal notranslate"><span class="pre">num_dir</span></code>, and the number of thresholds at which to compute the Euler characteristic by <code class="docutils literal notranslate"><span class="pre">num_thresh</span></code>.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myect</span> <span class="o">=</span> <span class="n">ECT</span><span class="p">(</span><span class="n">num_dirs</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span> <span class="n">num_thresh</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
@@ -424,7 +425,7 @@ <h2><span class="section-number">3.1.2. </span>Computing the ECT of <span class=
 </div>
 <p>We can set the bounding radius as follows. Note that some methods will automatically set <code class="docutils literal notranslate"><span class="pre">bound_radius</span></code> to be the bounding radius of the input <code class="docutils literal notranslate"><span class="pre">G</span></code> if not already set. I’m choosing the radius to be a bit bigger than the bounding radius of <code class="docutils literal notranslate"><span class="pre">G</span></code> to make some better pictures.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[11]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">myect</span><span class="o">.</span><span class="n">set_bounding_radius</span><span class="p">(</span><span class="mf">1.2</span> <span class="o">*</span> <span class="n">G</span><span class="o">.</span><span class="n">get_bounding_radius</span><span class="p">())</span>
@@ -441,11 +442,11 @@ <h2><span class="section-number">3.1.2. </span>Computing the ECT of <span class=
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-Internally set radius is: 4.1036569057366385
-Thresholds chosen are: [-4.10365691 -3.67169302 -3.23972914 -2.80776525 -2.37580137 -1.94383748
- -1.5118736  -1.07990971 -0.64794583 -0.21598194  0.21598194  0.64794583
-  1.07990971  1.5118736   1.94383748  2.37580137  2.80776525  3.23972914
-  3.67169302  4.10365691]
+Internally set radius is: 1.2
+Thresholds chosen are: [-1.2        -1.07368421 -0.94736842 -0.82105263 -0.69473684 -0.56842105
+ -0.44210526 -0.31578947 -0.18947368 -0.06315789  0.06315789  0.18947368
+  0.31578947  0.44210526  0.56842105  0.69473684  0.82105263  0.94736842
+  1.07368421  1.2       ]
 </pre></div></div>
 </div>
 <p>If we want the Euler characteristic curve for a fixed direction, we use the <code class="docutils literal notranslate"><span class="pre">calculateECC</span></code> function. This outputs a list of integers where each corresponds to <span class="math notranslate nohighlight">\(\chi(f_\omega^{-1}(-\infty,a])\)</span> for the <span class="math notranslate nohighlight">\(a\)</span> values in <code class="docutils literal notranslate"><span class="pre">myect.threshes</span></code>.</p>
@@ -463,7 +464,7 @@ <h2><span class="section-number">3.1.2. </span>Computing the ECT of <span class=
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
+array([0, 0, 0, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0])
 </pre></div></div>
 </div>
 <p>This can also be calculated on the fly and plotted using the <code class="docutils literal notranslate"><span class="pre">plotECC</span></code> method.</p>
diff --git a/docs/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb b/docs/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
index 8c284b7..0ba510f 100644
--- a/docs/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
+++ b/docs/notebooks/Tutorial-ECT_for_embedded_graphs.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -42,13 +42,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
        "{'A': (1, 2), 'B': (3, 4), 'C': (5, 7), 'D': (3, 6), 'E': (4, 3), 'F': (4, 5)}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -133,13 +133,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -163,14 +163,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The radius of bounding circle centered at the origin is 3.4197140881138655\n"
+      "The radius of bounding circle centered at the origin is 3.2015621187164243\n"
      ]
     },
     {
@@ -179,13 +179,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAGdCAYAAAC/5RwpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAABSdElEQVR4nO3deXxTZdbA8V+StoGWUmhLWaRlKyCyKAIiCEIRERRRcIER0HdE5wXEcRkXxHdYnFFQGXVGBVEUF1BEEcEdcAqiLAKCFFAoayoFSlvpCilN7vvHY1m7JG2Se29yvp9PPkBzc+8Jbe/Js53HommahhBCCKEjq94BCCGEEJKMhBBC6E6SkRBCCN1JMhJCCKE7SUZCCCF0J8lICCGE7iQZCSGE0J0kIyGEELoL0zuAyrjdbjIzM4mOjsZisegdjhBCCC9pmkZBQQFNmjTBaq24/WPoZJSZmUliYqLeYQghhKihjIwMmjZtWuHzhk5G0dHRgHoTdevW1TkaEXTcbti7F7Zvh7AwuPFGyM2Fzp3h+PEzxzVtCt9/D/Xrw4IF6rlGjc48LroIatXS7z3s3w9Hj8Lhw+rPI0fgiSegdm3485/hk0/OHB8TA88/D8OHQ3o6bNsGHTpAcjLYbPq8BxHU8vPzSUxMPH0/r4jFyLXp8vPziYmJIS8vT5KRqBm3G06ehMhIlViefBK2bIGCAvV8376QmgqaBs8+q27ObdtCq1bqNWZ24oRKurt3w65dMGgQXHYZ/Pvf8OCD6pioKJWEb78d7r9f/T+43ZKgRI15eh+XZCSCU24ufPcdrFkDmzfDTz/BX/8K//ynSkLPPANduqhH584QH693xPrIyYGff1b/R5s2QadOKlHv3AlXXKH+b7p2hV69oE+f0P1/EtUmyUiElt9/V8nn8sshMREefxyeew6aNYNu3dQN9dpr1fOiaocPw/z5Kkn9+KPqCkxMBIdDPf/NNyqRS3ISVZBkJILft9/CF1/AqlWwdavqWnrjDbjnHvjtN3C5VDISNZeRoRLRVVep1lRZEurYEVJS1OP66yEiQt84heFIMhLB5/Bh+PxzGDYM4uLU4Py33565GfbtC82b6x1laHA4YPVqNc62ahUcOwbZ2WC3qw8Il16qJn6IkGeIZDR79mxmz57NgQMHAGjfvj2TJ09m0KBBHr1ekpEgLQ2WLoVly2DjRrBaVUIaNEhNSLDbQdag6e/YMWjQAEpK1AeFwkLVJTpkiJql2LmzfJ9ClKf3cb9WYGjatCkzZsxg06ZNbNq0iX79+nHTTTexY8cOf15WmJmmqYH0U6fUvydOVGM/zZvDe+9BVpZKRKCmU8sNzhgaNFB/RkSoVtP770ObNvDii2rMLidHPZ+Rob7HQpwn4N10sbGxPP/884wZM6bKY6VlFEL27VM3sPnz1fTjL75QYxCZmeqTtt2ud4SiOk6dUrP1unZVf7/oIrXWaeRI9WjdWu8IhZ8ZomV0NpfLxcKFCykqKqJHjx7lHuN0OsnPzz/nIULAPfeo9TwzZqjpxF9/DQMGqOeaNJFEZGbh4SoRgVqz9MEH0Ls3vPCCajl17w7yey4IQDJKS0ujTp062O12xo4dy5IlS7jkkkvKPXb69OnExMScfkgpoCDkcqlWz003qRlwADfcoCobHD0K774L112nKiKI4GK1wjXXwFtvqe/1hx+qZFS3ruq6Gz8ePv0USkv1jlTowO/ddCUlJTgcDo4fP87ixYuZO3cuq1evLjchOZ1OnE7n6X+XlZGQbrogcOyYugm99hocOKAGt196SX1KFiIvT7WGf/xRzcL73/9VLeZGjfSOTNSQIWbTlad///60atWKOXPmVHmsjBmZnKapllBYGDz8MMyaBSNGqE/A3brJ5ANxoc2bYfZsNX4YH68+uFRS6VkYn+HGjMpomnZO60cEoeJitfj08stV/TNQs+IOHYK331bjQpKIRHm6dIG5c9XPysKFKhFlZqqfpdmz1ZRxEZT8mowmTZrEmjVrOHDgAGlpaTz55JOsWrWKkSNH+vOyQi+//65qvzVrprpZEhNVCwggIUHNihPCE/XrQ8+e6u/FxWpq/4QJkJQEU6aoBbYiqPh1lPjo0aOMHj2aw4cPExMTQ6dOnfj666+59tpr/XlZEWiaplo669bB00/D3XfDI49AixZ6RyaCQXKy2gbD4VCz8GbOhD171KQXETSkHJCovr171YLUzEz47DOVlI4dU60gIfwlO1u1lpKSYNEitRTg8cfVlh/CcAw7ZiSCwPbtcMcdap3Ip5+q4plut2odSSIS/hYfrxIRqIW0X38N7drBrbeeWS4gTEeSkfBOUZFKPuvWwcsvq9lOEyfKjCehj5Ej1fYWc+aoSg+dO6vkJExH7iCiallZ8NhjarvtqChVKXv3bjVFu3ZtvaMToc5uh3vvhV9+UfUL+/VTX1+wQFV6F6YgyUhULD8fpk5VpXrmzDnTBdK1qyrzIoSRhIXBqFGqWGthITz0kJr88OST6oOUMDRJRqJ8ixefqRc3dqwqZNq3r95RCeGZOnVU6/2BB1Tl8Fat1J/CsCQZiXOVLSps0EDtRZOeDs8/L2uEhPnUqwfPPKOmgd9+O5RtXaNpso2FAcnUbqHs3w8PPqgKWK5dKxMSRPApWw83d65q+f/nP7KFRQDI1G7hmZMn4amn4JJL4Kef4G9/k1I9IjiV/VxfdBH8+it06KDGk4qK9I1LAJKMQpumqarZ//yn6lv/5Re47TZJRiK4DRoEO3eqJQn/+pf6ILZ/v95RhTzZNCYUHTyoBnjj4lSdr9atZfW6CC21a8O0aXDnnaqafNki2t9/V3XxvFTkLOVAThElpW4iwqw0j4siyi63V2/ImFEo0TR4/XVVN27sWDUxQQihrF8P116r6itOmFDluGn60QIWbHCQuisLR24xZ99ILUBSbCQpbRMY2T2J1g2j/Rq6kRl2PyNvSDLyoYMHYcwYtWD1nntUscmYGL2jEsI4iopU190rr6ju67feUuuUzpORW8ykJWms2ZONzWrB5a74Flr2fO/keJ4Z2pHE2Eh/vgNDkgkM4oycHOjUSa27+OYbtdeQJCIhzhUVpUpcrVql9lPq1AlWrDjnkIUbHfR/cTVr9+UAVJqIzn5+7b4c+r+4moUbHX4JPRhIp2Yw++03aNxYjQ3Nnau2dZYkJETl+vSBbdtUd13XruprJ0/yyroMZi7fXa1TutwaLrfGxE/SyC50MiFFppSfT1pGwahsbKhdO/UnqFlykoiE8ExUlFowW78+HDrEwuvuqnYiOt/M5bv5UFpIF5CWUbA5flyNCS1erP6UXXWFqJEMLYIpPUaeWTRbgZKs/eRvXMpJRxquwlwsVhvhsRcR2a43dS69DlvtM5MYJi/bQc9W8SE5hlQRSUbB5NAh6NVLJaTFi2HYML0jEsL0Jn2zj1JbGFQyPlSw9Wtyl88mPPYiYroPIzwuEc3touRIOoVbvsJ56FcSbvm/08eXujUmLUnjvTHdA/EWTEGSUTBp3BiGD1fTtps31zsaIUwv/WgBa/ZkV3qM89Av5H4zi1otOpMw7P+whJ2paF+7RWfqXjGUE/t+Ouc1LrfGmj3Z7MkqIDkhdKd9n03GjMzu2DG48UZYvlyti5gxQxKRED6yYIMDm7XyiiR5axeBxULcwAnnJKIyFls4ka0vbAHZrBbmr5exozKSjMxs9Wq47DK1WE9K+Ajhc6m7siqdvq25XZx0bCOiUTJhdRt4dW6XWyN1d1ZNQwwakozMSNPUotV+/aBNG7Xd8rXX6h2VEEGl0FmKI7e40mPcJ/LRTjkJi2lYrWs4coopcpZW67XBRpKRGRUVqSnbjz4KK1dCkyZ6RyRE0DmYU4S/y9NowIEcqRoOMoHBXDIzweWCxES13UOdOnpHJETQKil1V3mMtXZdLOF2SvOO+vU6oUBaRmaxcSN06wbjx6t/SyISwq8iwqq+PVqsNmo1u5SSI3soza981l1NrhMK5H/BDObPV4Ubk5LOVFQQQvhV87goPJkWFNPjNtA0cr5+Gc116oLnNVcpxekbyn2t5Y/rCElGxjdlCoweDSNGQGqqWkskhPC7KHsYSR5USLBf1I7Y68Zz8sBWDr/9IAU/fcFJRxonDmwlb8NiMueOo3DbinJfmxQXKfse/UH+F4yuXTu1G+VDD8n0bSECLKVtAu+uP1BZ8QUAoi8biL1xG/I3LiVv/ce4in7HYg0jPPYioi7pS3SXwRe8xma1kNImwU+Rm48kIyPKy4P33oP77lMtIiFEwO3Zs4edy+bgbnCdR8dHNGxJ/OCHPD6/y60x6sqk6oYXdKSbzmiOHIG+feHvfweHrM4WItD27NnDn//8Zy6++GK+//JjkiKKsfn4TmmzWuidHC+lgM4iychI0tOhZ09V4mfNGmjWTO+IhAgZZyehb775hhdeeIG9e/ey4IEbCKtiC3KvaBphFnhmaEffnTMISDIyivR0uOoqiIiAtWuhQwe9IxIiJFSUhP76179Su3ZtEmMjmTakve8uaLHw1LdvkLjrZ9+dMwhIMjKK5s3hz3+G779XU7iFEH5VVRI624huSTwyoI36h1azugyPXp3E8PpOmZB0Houm1fB/1o/y8/OJiYkhLy+PunXr6h2OfyxbBg0bQnfZ10SIQNizZw9PP/007733HgkJCUycOJF77733ggRUninvfsO8bUXYwiPQPFqFpNisFsKsFp4a0p7h3c76sHnqFKxbB1dfXZ23Ygqe3selZaSnxYvhllvgjTf0jkSIoOdNS6g8BQUFvDP5f0na/i5XJccDVLm9RNnzPVvGsfKhPucmIoA334SUFFiwoHpvKojI1G69LFoEd9wBt90Gr72mdzRCBK3zW0IvvPCCxy2hsz322GNkZ2eTOvtFWrRoQfrRAhZscJC6OwtHTvE5RVUtqAWtKW0SGHVlUsWz5u69F378US1sLy2Fu+6q9vs0Pc3A8vLyNEDLy8vTOxTfWrRI06xWTRs1StNOndI7GiGCUnp6uvY///M/ms1m0xo3bqz9+9//1oqLi6t1rpUrV2qA9uqrr5b7fOHJU9r2Q8e1nw7matsPHdcKT3rxe+1yado992iaxaJpb71VrfiMzNP7uIwZ6WHLFpg3D158EWw2vaMRIqjUZEyoPAUFBXTs2JEWLVrw7bffYvXlNO8ybjeMG6dm0778su/PryNP7+PSTRdIa9aoytudO6uHEMJnfNUdd77T3XOpqf5JRABWK8yefWaG3ZEj0KiRf65lUDKBIVA+/xyuuQb+8x+9IxEiqNR0YkJlvv32W1577TWee+45WrRo4aOIK2C1qmS0aRO0bAkffeTf6xmMdNMFwg8/QP/+MGgQfPghhIfrHZEQpufr7rjzBaR7rjwuF9x5p0pGX32lPsSamHTTGcWOHTB4sFpH9P77koiEqCF/dcedLyDdc+Wx2eDttyE3F4YOhVWr4PLLA3d9nUg3nb999pmqMbd0KdSqpXc0QpiWP7vjzhfQ7rnyhIerllG7djB2bI2rPpiBdNP5i9ut+oABioogSnZzFKI6/N0ddz7duufKk50NTidcdJF+MdSQVGDQU1ER9OlzZlW1JCIhvBbIltDZyrrn3nrrLX0TEUB8vEpEx47BmDGQn69vPH4kY0a+duoUDB+u1hK1aaN3NEKYTqDGhMpT1j336quv6tM9V5GjR1X5sAMH4MsvwW7XOyKfk5aRL2maWrj2zTfwySdqTZEQwiN6tYTKFBQUMGbMGPr27cvYsWP9fj2vdOigiir/8IOq7m/c0ZVqk5aRL73xhip8+M47MGCA3tEIYQp6toTOptvsOU9dfTXMn6/qWXboAJMm6R2RT/n1f3z69Ol069aN6OhoEhISuPnmm9m1a5c/L6mvm25SRU/vvFPvSIQwPL1bQmfTffacp269Ff7xD2jQQO9IfM6vs+kGDhzIiBEj6NatG6WlpTz55JOkpaWxc+dOojwY1DfNbLp9+yAyMuTKdwhRHYGeHVcVQ82e81ZeHsTE6B1FpTy+j/u5YOs5srKyNEBbvXq1R8ebomr38eOadvHFmta/v96RCGFovqyi7Utjx47VoqKitH379ukdindeeEHTWrbUtOxsvSOplKf38YB+BMjLywMgNja23OedTif5+fnnPAzN5VJ7Eh0+DK++qnc0QhiSkbrjzmea7rnyDB2qpnrfdpuaxWt2AUqOmtvt1m688UatV69eFR4zZcoUDbjgYdiW0WOPqX2Jvv5a70iEMByjtoTK5Ofna82aNdP69u2ruVwuvcOpnlWrNC0sTNMmTNA7kgp52jIKWDIaP3681qxZMy0jI6PCY06ePKnl5eWdfmRkZBg3GaWna1p4uKb96196RyKEoRg9CZUxbffc+WbP1jRQm3YakKfJKCBTu++//36WLVvGd999R9OmTSs8zm63YzfLYq7kZNi5E1q10jsSIQzBKFO0PWHYxa3VMXYsREergswm5tfZdJqmcf/997NkyRJWrVpF69atvXq9IWfTOZ0waxZMmCAVuIXAeLPjqmLq2XNV2blTFWY2UAkyQ9Smu++++5g/fz7vv/8+0dHRHDlyhCNHjnDixAl/Xta/Hn0UJk6E3bv1jkQIXRl5YkJlDFV7zpfKamI+8IDekVSPP/sKKWcyAqDNmzfPo9cbbmr3J5+ovtlXXtE7EiF0Y5YxofKsXLlSA7RXX31V71D846231D1qwQK9IznN0/u4bCHhqYMH4bLLICVFFSws26teiBBhtu648wV191wZTVMVYD79FH76CbwcGvEHQ3TTBZX589VK5zfflEQkQopZu+POF7Tdc2ezWNSYduPGqmiziUihVE9NmgR/+QvUr693JEIEhJlmx1UlqGbPVSU6GpYsUX+aiHTTVWXdOnA44PbbpUUkQoLZu+POFxLdcxU5flwNMVx6qW4heHofl5ZRZYqL4a671G6Lt90myUgEtWBqCZ3N8FtD+NN998H330NaGug97l6FEPvOeOnvf4eMDJg3D0Lth1iEjGAZEyqPqWvP+cI//wk5OWpJitEFYGZftek6tfv77zXNYtG0mTMDf20hAsDMU7Q9ERS153xh1iw13Xv5cl0uL1O7a+qWW1Q17jVrwGYL7LWF8KNgGxOqyLhx43jvvfdIS0sLzVZRGbcbrr0W9u5Vi/UjIgJ6eRkzqqkPPlDNW0lEIkgE65hQeUJq9lxVrFa1JMXhCHgi8oa0jM63aZOqOafj7BMhfClUWkJlQnr2XFXcbjUO3qxZwC4pLaPqcDph5Ei1YGzVKr2jEUGuyFnKgZwiSkrdRIRZaR4XRZTdd7+SodQSOltIz56rymOPwccfq4KqkZF6R3MOSUZn+9e/YN8++OQTvSMRQSr9aAELNjhI3ZWFI7eYs7slLEBSbCQpbRMY2T2J1g2rt2gxVJMQSPdclcaNg1degWeeUTPtDES66co4HHDxxTB+PMyc6d9riZCTkVvMpCVprNmTjc1qweWu+Neu7PneyfE8M7QjibGefYINte6480n3nIemTIEZM2D79oDUrvP0Pi7JqMzo0fDf/8Kvv5qujIYwtoUbHUxZtoNSt1ZpEjqfzWohzGph2pD2jOiWVOFxoZ6EysjsOQ+dOAGXXKI+fH/5pd8X88uYkbeef1510UkiEj70Smo6M5dXb+8r1x/Ja+InaWQXOpmQcu6n2FDujjufdM95oXZtVUz14EG9IzmHtIxKStSmVFIAVfjYwo0OJn6S5rPzPTusI8O7JUlL6DzSPVdDmubX1pG0jDz1wgvwn/9AerqhtuoV5paRW8yUZTsu+HrhtpXkfPnSmS/YwrHWiiI8LpHaLTpTp9MAbFH1yj3n35duZ8mcZ/n47Tkh3xI6m8yeq4H774e4OJg6Ve9IQjwZZWTAP/4B//u/koiET01akkZpJeNDcdc/SHhcUzR3Ka6iPJy/7SRv/WLyNywh/ubHqd38sgte4zx1irUlzSQJnUW652ooJkZNZhg9Glq10jWU0O6mGzUKVq5UJTIMXtFWmEf60QKufem7cp8raxk1uutF7I3PHQMqzcviyILHcZ8s5KL/fR1bVPldxysfuprkBBnblO45HyguhnbtoEsXvy1pkZ1eq/Lzz/D++zBtmiQi4VMLNjiwWb3vgw+LSaB+vzFoJSco2PJ1ucfYrBbmr3fUNMSgEBI7t/pbZCQ8/bTajG/9el1DCd3voNsNI0bA3XfrHYkIMqm7sryawn222i27gsWKM2N7uc+73Bqpu7NqEl5QCPmtIXzpjjvg8sth7VpdwwjdMaPOnVXLSAgfKnSW4sgtrvbrrRG1sEbWxVWYW+ExjpxiipylPi0dZCYFBQWMGTOGvn37MnbsWL3DMT+rVe1orXMR1dBrGWma2v1w0ya9IxFB6GBOETUehK3iBBpwIKeoplcxLeme84OICDh1Sn1Ad7t1CSH0vpNLl6oFX8eP6x2JCEIlpTX7RXaXnMR9Ih9bnVi/XsespHvOj376SRWKXrhQl8uHVjJyuWDSJOjfXz2E8LGIsJr9Sp3YuxE0N/akjn69jhlJ95yfde8OQ4bA3/+uigEEWGj9RL/7LvzyC0yfrnckIkg1j4uiumvZS/Oy+D31LSz2KKI7D6rwOMsf1wk10j0XAM88AwcOwBtvBPzSoTMCqmmq0sKtt0LXrnpHI4JUlD2MpNhIDlYxieHUsYPgdqG5XbiL8ziZsYPCtJVYLFYShj2JLTKmwtcmxUWG3OQFWdwaIO3bw513qu0lxoyBWrUCdunQ+Ym2WNSGeUWhO/ArAiOlbQLvbThY6fTu0yWBbGFY7XUIj2tKzJW3UOfS6ypNRDarhZQ2CT6O2Nikey7A/u//4NprISyw6SE0kpHbDXl5qhhqTMW/6EL4wsjuSby97kC5z9Xp1J86nao/Xulya4y6suLtJIKR1J4LsFatdCkNFBrf2c8+g6QkVYtOCD9r3TCa3snx1arCUBmb1ULv5PiQKgUks+d0UlICt98e0Jl1wV+bTtOgRw81j/678uuFCeFrGbnF9H9xNU4fTsG2h1lZ+VAfj3d+NTupPaezgQMhM1OVTqvBFhNSm67MqlWwYQM88YTekYgQkhgbybQh7X16zqeGtA+ZRAQye053TzwBaWnwxRcBuVzwf4enT4fLLlNZXogAGtEtiUcGtPHJuR4d0JbhlWw9Hmyke84Arr5a9SpNn656mPwsuJPRyZOq7tLEiX7f512I8kxIac2MYR2xh1m9HkOyWS3Yw6w8O6wj96Uk+ylC45HZcwZhsajW0aZNsHev3y8X3LPpatWCr78OSFYXoiIjuiVxVat4Ji1JY82ebGxWS6XTvsue79kyjmeGdgyprjmQ2XOGcsMNahFs48Z+v1TwJqOjR1VGHzgQbDa9oxEhLjE2kvfGdCf9aAELNjhI3Z2FI6f4nJqoFtSC1pQ2CYy6MimkZs2VkcWtBmO1qkR08iQ4nX5dGhO8s+n+8Q+1ne6hQ1Cvnl/iE6ImipylfP3DZu4YdSfvz3+XgVd1CbnKCmeT2XMG5XZD27Zwyy3qnuql0J5NV1oKc+aoCrSSiIRBRdnDaFEvnJLDu2lRLzykExHI7DnDslpVd92bb6rWkb8u47cz6+mzz1SLaPx4vSMRQnhAZs8Z3LhxkJ0NH3/st0sEZzKaNUtNSbzsMr0jEUJUQWbPmUDbtmrbnVmz/HaJ4OsX0DTVpEwOnamwQpiZzJ4zifHj1ZhRQQFE+35yTfAlI4sFHnxQ7yiEEB6Q2XMmcvPNMHSo304fXB9DiovhkUfUeJEQwtCke85kLBbV87RundoFwceCKxktWwb/+hecOKF3JEKIKsjsORM6ehSuugoWL/b5qYPrJ2D+fDVxQcaLhDA0mT1nUo0aQb9+6l7rY8GTjI4dU6V/Ro7UOxIhRCWke87kRo1SuyH89ptPTxs8yWjRItWnefvtekcihKiEdM+Z3LBhYLfDBx/49LTBM5uuXz+YPRsaNNA7EiFEBWT2XBCoW1ctgo2K8ulp/fqx5LvvvuPGG2+kSZMmWCwWPv30U/9drF07uOce/51fCFEj0j0XRF54wecVbvyajIqKirj00kt55ZVX/HkZeOst1SoSQhiWdM8FmYMHITXVZ6fzazfdoEGDGDRokD8voea9z5gBPXuqpqMQwnCkey4IPfusqgN68KAqplpDhvp44nQ6yc/PP+dRpa1bIT0d7rjD7/EJIbwn3XNBauRINaNu7VqfnM5QyWj69OnExMScfiQmJlb9omXL1IZPKSn+D1AI4TXpngtSPXpAQoJqHfmAoX4ynnjiCfLy8k4/MjIyqn7RsmUwaBCEh/s/QCGEV2RxaxCzWmHwYHUP9gFDTe222+3Y7XbvXjRtmkznFsKApHsuBAwfDi6X2pa8Vq0ancpQyahaBg/WOwIhRDlka4gQMGCAeviAX39CCgsL2bp1K1u3bgVg//79bN26FYfD4ZsL/OMfqgSQEMJQpHsuhOTm+uQ+7NdktGnTJjp37kznzp0BePjhh+ncuTOTJ0+u+ckLC+Gf/4Rdu2p+LiGEz0j3XIhZvFhtaJqTU6PT+LWbrm/fvmia5p+TL18OJSVw443+Ob8Qolqkey7EDB4Mbjd89ZUqolpN5v1JWbYM2reHli31jkQI8QfpngtBjRtDt26wdGmNTmPOZKRpsGIFXH+93pEIIf4g3XMh7Prr4dtvVQupmsw5m87lgqeegi5d9I5ECPEH6Z4LYQMGwMaNajJDfHy1TmHOZBQWBmPG6B2FEOIPUnsuxPXsCV98UaNTmPPjy9tv+7RarBCi+qR7TgBw4gSkpVX75eZLRpoGTzwB33yjdyRCCKT2nPjD88/D1VerYZRqMN9Pzu7dcOQI9O2rdyRChDyZPSdO69sXjh+Hbduq9XLzJaPUVLDZ4Kqr9I5EiJAm3XPiHN27q/p01RxCMV8yWrVKzWmPjtY7EiFCmnTPiXPY7Woiw6pV1Xq5+WbT9elT4+qwQoia8Wb2XJGzlAM5RZSUuokIs9I8Looou/luPcID115b7fF8i+a3ej01l5+fT0xMDHl5edStW1fvcITwuZ9++okuXbqwefNmLr/8cr3D8UhBQQEdO3akRYsWfPvtt+W2itKPFrBgg4PUXVk4cos5+yZjAZJiI0lpm8DI7km0bii9HMHM0/u4uT6epKdDZqaasWGx6B2NECGpssWtGbnFTFqSxpo92disFlzuCz/rasDB3GLe23CQt9cdoHdyPM8M7UhibGSA3oHwK01T+xvVru3Vy8zV0fvOOzBihN5RCBGyKps9t3Cjg/4vrmbtPlW9ubxEdLay59fuy6H/i6tZuNFHW8sIfXXrBk8+6fXLzNUy2rRJlQCSVpEQAVfZ7LlXUtOZuXx3tc7rcmu43BoTP0kju9DJhJTWvghX6KVVK3Wv9pJ5kpGmwebNMH683pEIEZIq6p5buNFRYSIq3LaSnC9fKve5ulcMpX6/c8t6zVy+mwZ17AzvluSzuEWAdemiNj51u8GLWZbmSUYZGZCdLcVRhdBBRbPnMnKLmbJsR5Wvj7v+QcLjmp7zNVud2HKPnbxsBz1bxcsYkll16aI2P929Gy6+2OOXmWfMKDdXvUlJRkIEVGXdc5OWpFFaxdgQQHiDZtgvuvicR1hMQrnHlro1Ji2pfo0zobOyWaFbt3r1MvO0jC67rFr9kEKImqmoey79aAFr9mT7/Hout8aaPdnsySogOUGmfZtO/fpw6JDadM8L5mkZHTtWo42bhBDeq2z23IINDmxWDycTaW40t+ucR2VsVgvz18vsOtNq0sTriWbmaRldcQUMHw4zZugdiRAhoarac6m7sqqcvl3myLt/u+BrSY8txWK1lXu8y62RujuLqbT3LmhhDB9/DK+9BitXevwScySjkyfh4EFoLVM+hQiUyha3FjpLceQWe3yuuMEPEx6XeM7XKkpEZRw5xRQ5S6V0kBmdOqW2Ic/L87iFZI7v8v79amp3mzZ6RyJESKiq9tzBnCK8qSMWHpeIvbF3HyY14EBOEe2bxHj1OmEAbduqP3fvPvP3KphjzGjPHvWnJCMh/M6TrSFKSgMzfhuo6wgfK+vF2rXL45eYo2V04ADUrQsJ5U8FFUL4TmXdc2UiwgLzOTZQ1xE+Fh2tZtPt9rwqhzm+0xMmqDEjKQMkhF95unNr87go/P3baPnjOsKkXn/dq1qi5khGFgvUq6d3FEIENW92bo2yh5Hk5woJSXGRMnnBzAYPhksu8fhwcySjQYNg0SK9oxAiqHm7c2tK24Qq1xnV6dSfZhM/93rygs1qIaWNdMub2s6dMGWKmnzmAXMko7VrwVX5IjkhRPV52j13tpHdkzxeZ+Qtl1tj1JVSLNXU9uyBp56Cw4c9OtwcyQggSX4whfAHb7rnzta6YTS9k+M9r8LgIZvVQu/keCkFZHZl9+zMTI8ON08yatJE7wiECEreds+d7ZmhHQnzcTIKs1p4ZmhHn55T6KCsNt3Rox4dbp5k5GXRPSFE1arTPXe2xNhIpg3xbcmep4a0l+0jgkGDBmCzwZEjHh1ujmT01ltQq5beUQgRVKrbPXe+Ed2SeGSAbxakPzqgrWysFyysVrjnHo+HWMwxb/KWW/SOQIig48niVk9NSGlNfB07U5btoPSPbcQ9ZbNaCLNaeGpIe0lEwea11yA/36NDzdEy+vJLvSMQIqjUtHuuPCO6JbHyoT70bBkHUOXEhrLne7aMY+VDfSQRBaNjx2DvXo8ONUfL6NNPvVrJK4SomK+658qTGBvJe2O6k360gAUbHKTuzsKRU3xOUVULakFrSpsERl2ZJLPmgtnf/w7r1nl0qDmSUaNGekcgRNDwZfdcRVo3jGbqkPZMpT1FzlK+/mEzd4y6k/fnv8vAq7pIZYVQ0bixx+uMzPETIclICJ+oamsIf4iyh9GiXjglh3fTol64JKJQ0rix6qrzgDnGjKQunRA15s/uOSHKVb++x4ea4yNKq1Z6RyCE6QWie06Ic9Stq5blnDxZ5aHmSEbdu+sdgRCmpkf3nBBcd52qwBBT9W695vh4dOqU3hEIYVrSPSfMwBwto/R0iIvTOwohTEm654RuMjNhwACPDjVHMoqS3R6FqA7pnhO6Cg+HHTs8OtQcH5OiZVGcEN6S7jmhuzp1PD7UHC0jL96QEEKR7jmhu1q1VMFUt7vKQ82RjCIi9I5ACFOR7jlhCBaL6tnKy6vy0IB8XJo1axYtWrSgVq1adOnShTVr1gTiskKEJOmeE4byxhseHeb3ZPThhx/y4IMP8uSTT7JlyxZ69+7NoEGDcDgc/r60ECGpJju3CuFz113n0WF+/0l94YUXGDNmDPfccw/t2rXjpZdeIjExkdmzZ/v70kKEHH9sDSFEjbz5pkeH+TUZlZSUsHnzZgacN898wIABrF279oLjnU4n+fn55zyEEJ6R7jlhSP/6l0eH+TUZZWdn43K5aNiw4Tlfb9iwIUfK2Rd9+vTpxMTEnH4kJib6Mzwhgop0zwlD8vBnMSA/sRbLuTs+app2wdcAnnjiCfLy8k4/MjIyAhGeEKYn3XPCsDyY1g1+ntodHx+PzWa7oBWUlZV1QWsJwG63Y7fb/RmSEEFHuueEoXmYjPzaMoqIiKBLly6sWLHinK+vWLGCnj17+vPSQoQM6Z4Thta/v0eH+f0n9+GHH2bu3Lm89dZb/PLLLzz00EM4HA75BCeED0j3nDC8V17x6DC/V2AYPnw4OTk5PPXUUxw+fJgOHTrw5Zdf0qxZM39fWoigJt1zwhQOHfLosICUAxo/fjzjx4+v/gmcTt8FI0SQkNpzwvA0DTp08OhQc/wEFxXpHYEQhiLdc8IUTp40xgQGnyko0DsCIQxDuueEaXhx7zZH1e7CQr0jEMIwpHtOmEbQJSPZQkIIQLaGECbjRUPCHB+rWrfWOwIhdCfdc8J0OnWCo0c9OtQcLSOZTSeEdM8J87FY1G6vHjDHT/THH+sdgRC6ktlzwpRWroQbbvDoUHMko+PH9Y5ACN1I95wwrb174YcfPDrUHN105Ww3IUSokO45YVqHD0NCgkfjRub4yZZkJIJQkbOU/cdPEdG4DfuPn6LIWXrBMdI9J0zt8GFo1MijQ6VlJEQApR8tYMEGB6m7snDkFqMBje96gb+tyOaRFd+QFBtJStsERnZPolEk0j0nzC0zE8rZLqg85khGH32kdwRC1EhGbjGTlqSxZk82NqsFl1u74BgNOJhbzHsbDvL2ugPEncoit8RCqmwNIczqoYdUObfly6s81BzJyMOpgUIY0cKNDqYs20HpHwmovER0trLns62xJNz1HzZk25AeOmFK/fpBfr5Hh5rj49bgwVBcrHcUQnjtldR0Jn6ShrPUXWUSOp/FFkYpViZ+ksYrqel+ilAIP3G54MUX1Yw6D5gjGa1ZowbChDCRhRsdzFy+2yfnmrl8Nx9udPjkXEIExLFj8PDDsGuXR4ebo5sOVDJq1UrvKITwSEZuMVOW7Sj3ucJtK8n58qVzvmatXZfw+CTqdh9GZPIV5b5u8rId9GwVT2JspK/DFcL3yhoQHk5gMEfLCODgQb0jEMJjk5aknR4jqkjc9Q/SaPRMGo1+nriBE7BYrRz7+CmK0zeUe3ypW2PSkjR/hCuE7zn+aMlfdJFHh5sjGTVoAOnSZy7MIf1oAWv2ZFc5RhTeoBn2iy7GflE7Itv2pMGtU8AWTtEv35V7vMutsWZPNnuyZH8vYQK7d0OdOkHWMpoxA4YM0TsKITyyYIMDm9Xi9essYRFYbGFYrLYKj7FZLcxfL2NHwgQaNYKRI1WxVA+YIxndeitcfrneUQjhkdRdWZ7NnNPcaG4XmquU0vxsfl/5OtopJ1GX9KnwJS63RuruLB9GK4SfjB4Nr73m8eHmmMCwdy/8979qZoaHWVYIPRQ6S3HkerYM4ci7fzv3C7ZwYq8dS+2WXSp9nSOnmCJnKVF2c/z6ihC1axfeLJAzx0/zr7/CI4/AHXdA48Z6RyNEhQ7mFOHpaqK4wQ8THpcIgPtEPsW715G7fDaa5qJulxsrfJ0GHMgpon2TmJoHLIQ/5OXBxRfDggVqnagHzJGMkpPVn7t3SzIShlZS6vb42PC4ROyNz+xiXLtlF0rzsjie+jZ12qdgrVXHJ9cRIuDKJpy1bevxS8wxZtS8OVitKhkJYWARYTX7lYpIaI5W6uRU7iG/XkcIvyq7V7duXflxZzHHT7TdrhKShyt5hdBL87goajKqWXJ0PwDWyIq74Cx/XEcIw9q1S82mq1vX45eYo5sO4LbboGVLvaMQolJR9jCSYiM56MEkhlPHDoLbBYDrRAHFu9dy8sAWarfpQXi9iveASYqLlMkLwtiOHYN27bx6iXl+omfM0DsCITyS0jaB9zYcrHJ699klgSz2KMJiGlK/3z1EX35Dha+xWS2ktEnwVahC+MesWVBS4tVLzJOMXC745RdISvKq6SdEoI3snsTb6w5U+HydTv2p06l/tc7tcmuMujKpmpEJEQCappbgRER49TJzjBmBKrrXsaNabySEgbVuGE3v5PhqVWGojM1qoXdyPMkJ0T49rxA+tXKlWl/k5Q7d5klGF10ECQmwebPekQhRpWeGdiTMx8kozGrhmaEdfXpOIXxu0ybIyVH3ay+YJxlZLNC1qyQjYQqJsZHcfalvWzBPDWkv20cI49u8WZVvs3qXXsyTjAC6dFFZV/Nux0whAu2nn37i2b8MIWqvb7qVi9cvJKm08rVHQhjC5s3qXu0lcyWjrl0hKgqOH9c7EiEq9NNPP9G/f39at27N2jcmM2NYR+xhVq/HkGxWC/YwK9NuaEM7t4PrrruOdevW+SlqIXwgJwcOHFD3ai+ZKxndeCPs3w/16+sdiRDlOjsRLV++nJiYGEZ0S2LlQ33o2TIOoMqkVPZ8z5ZxrHyoD3f1as0XX3xB586dJSEJY6tXD9LSYOBAr19qnqndcKZi94kTULu2vrEIcZ7yElGZxNhI3hvTnfSjBSzY4CB1dxaOnOJziqpaUAtaU9okMOrKpHNmzdWpU4cvvviCG264geuuu45vvvmGHj16BO7NCeEJmw06dKjWS82VjAD+9jdYswZ+/FHvSIQ4rbJEdLbWDaOZOqQ9U2lPkbOUAzlFlJS6iQiz0jwuqtLKCpKQhOGNHw9XXgl33un1S83VTQeqLPnmzZCfr3ckQgCeJ6LzRdnDaN8khs5J9WnfJMajEj9lCUm67IThnDwJb70Fv/9erZebLxn17Qtut2odCaGz6iaimpCEJAxp/XpwOtU9uhrMl4ySk9UC2FWr9I5EhDg9ElEZSUjCcFJTITZWVcqpBvMlI4tFZV4ZMxI60jMRlZGEJAxl1Sro08frxa5lzDeBAeA//5FiqUI3RkhEZWRSgzCMf/wDwsOr/XLztYxANQXDzJlHhbkZKRGVkRaSMISrr4YafBAyZzIC+NOfYNIkvaMQIcSIiaiMJCShqwULYM6cGp3CvMkoMhKWLNE7ChEijJyIykhCErp54QU1gaEGzJuMhgyBX3+F3bv1jkQEOTMkojKSkETA/fYb/PQT3HRTjU5j3mTUvz/UqgWffaZ3JCKImSkRlZGEJALqs8/UGH416tGdzbzJKCpKJaQvvtA7EhGkzJiIykhCEgGzbJmavFDDAtZ+TUZPP/00PXv2JDIyknr16vn+Ai+/DEuX+v68IuSZORGVkYQkAmLcOHj88Rqfxq/JqKSkhNtuu41x48b55wLNm0O0b3fTFCIYElEZSUjC74YMgQEDanwavyajadOm8dBDD9GxmuUhPDJ5Mtxzj//OL0JKMCWiMpKQhN/Mng1ffeWTUxlqzMjpdJKfn3/Oo0oREbBokSrQJ0QNBGMiKiMJSficy6UaAz4qWm2oZDR9+nRiYmJOPxITE6t+0ZAhUFAA337r/wBF0ArmRFRGEpLwqe+/h+xsdQ/2Aa+T0dSpU7FYLJU+Nm3aVK1gnnjiCfLy8k4/MjIyqn5Rx47Qrp1aASxENYRCIiojCUn4zIIFaty+e3efnM7rAm8TJkxgxIgRlR7TvHnzagVjt9ux2+3evchigVGjYPp0tblTrVrVurYITaGUiMpIcVVRYydPquGRCRPUPdgHvE5G8fHxxMfH++TiPvOXv8Do0ZKIhFdCMRGVkYQkakTTYMYMtdbTR/w6ZuRwONi6dSsOhwOXy8XWrVvZunUrhYWFvr1QfDwkJqr/ICE8EMqJqIx02Ylqq10bxo5Vm536iF+T0eTJk+ncuTNTpkyhsLCQzp0707lz52qPKVVqwwZo2RKOHvX9uUVQkUR0hiQk4bXjx2H8ePBkTN8Lfk1Gb7/9NpqmXfDoW8090ivVujUcOgQLF/r+3CJoSCK6kCQk4ZWPP1bbRfh4TzlDTe2ukdhYuP56mVUnKiSJqGKSkITH5s+Ha66Bxo19etrgSUagZtVt3Ai7dukdiTAYSURVk4QkquRwwOrV6l7rY8GVjAYPVi2kTz/VOxJhIJKIPCcJSVRq7lyoUweGDvX5qYMrGdWqBVu2wGOP6R2JMAhJRN6ThCQqdNdd8M47filQHVzJCCApSS3C8qSunQhqkoiqTxKSKFerVjBsmF9OHXzJCOBvf1MDbCJkSSKqOUlI4hx33unX2crBmYxSUmDTJjWZQYQcSUS+IwlJALBjB7z3ns9K/5QnOJPRoEHQrBnMmqV3JCLAJBH5niQkwezZ0LChXyYulAnOZGSzqVIVCxdCTo7e0YgAkUTkP5KQQlhBAbz7Ltx7r9o/zk+CMxkB3H031K8P27frHYkIAElE/lfdhFTkLGX/8VNENG7D/uOnKHKW+jlS4VNLlkBRkSpI7UcWTTNuddH8/HxiYmLIy8ujbt263p/A5VKtJBHUJBEFVmFhITfccANbtmypsNp3+tECFmxwkLorC0duMWffZCxAUmwkKW0TGNk9idYNfT9NWPiQ2w3btsFll1Xr5Z7ex4M7GQEcO6Zq1lXzP1IYmyQifVSUkDJyi5m0JI01e7KxWS243BXfXsqe750czzNDO5IYGxmo8IWnioogKqpGp5BkVGbYMNi9W2V2a/D2SoYiSUT6Oj8hHQy7iCnLdlDq1ipNQuezWS2EWS1MG9KeEd2S/Bix8IqmqV1c+/VTexdVk6f38eC/Oz/8sJqW+PnnekcifEgSkf7OHkO6adJsJn6ShrPU7VUiAnC5NZylbiZ+ksYrqel+ilZ47dtv1fKYlJSAXC74W0YAvXtDaSmsXevXefIiMCQRGcvba9KZ+uVun53v2WEdGS4tJP1dcw38/jts3lyj+6an93HfbkhhVE88ATfcoKrN+mMvJREwkoiMJSO3mOnL95T7XOG2leR8+VKFr234p2eo1azTBV+fvGwHPVvFyxiSnn78Ef77X1i0KGAf4EMjGQ0aBPffr6Z6C9OSRGQ8k5akUVpFt1zc9Q8SHtf0gq+Hx5ff+il1a0xaksZ7Y7r7JEZRDbt2QZcufqtDV57QSEYWC/znP3pHIWpAEpHxpB8tYM2e7CqPC2/QDHvj1h6f1+XWWLMnmz1ZBSQnyLRvXYweDSNHBnTSV/BPYDjbypUwcaLeUQgvSSIypgUbHNis/unCsVktzF/v8Mu5RRU++kjtehDg2cehlYyOHoVnn1UTGYQpSCIyrtRdWZ7NnNPcaG7XBY/KuNwaqbuzfBSp8NjWrXD77SohBVhodNOV+dOf4LnnVOto9WqZWWdwkoiMq9BZiiO32KNjj7z7twu/aLHS7PFllb7OkVNMkbOUKHto3aZ09cQT0KaN2kQvwELru2y1wvTpambdV1/B9dfrHZGogCQiYzuYU4Sna0LiBj9MeFziuV/04IOgBhzIKaJ9E/neB8SqVfD116pVFBb41BBayQjUzLqrr1YTGiQZGZIkIuMrKXV7fGx4XKJXExiqex1RA5qmeoy6doVbbtElhNBLRhaL2iQqPl7vSEQ5JBGZQ0RYYIabA3WdkGexwDPPQGSkbsMXoZeMAJL+WN+QkQEJCWC36xuPACQRmUnzuCgs4HFXXXVY/riO8DO3WyWgfv10DSN0P3bk5MDFF8Prr+sdiUASkdlE2cNI8rBCwqljB3Ee+vWCh6s4r9LXJcVFyuSFQHj7bejTB5xOXcMI3e90XBwMHw5PPaUWd8XG6h1RyJJEZE4pbRN4b8PBKqd3V1QSKHbQ/URfel25z9msFlLaJNQ0RFGVggL4+9+hVy/de4hCo1BqRQ4fhrZt1WrjV1/1/flFlSQRmVf60QKufek7v51/5UNXSwUGf3vsMXjlFfjlF2jWzC+XkC0kPNG4MUybBq+9Blu26B1NyJFEZG6tG0bTOzne51UYbFYLvZPjJRH5286d8OKLMGmS3xKRN0I7GQFMmAD33Qf16ukdSUiRRBQcnhnakTAfJ6Mwq4Vnhnb06TlFOdLT1Q7YjzyidySAJCMID1drjlq0UHPthd9JIgoeibGRTBvS3qfnfGpIe9k+IhBuukltFVGrlt6RAJKMztiwAa68Um0mJfxGElHwGdEtiUcGtPHJuR4d0FY21vO3wkJV9uf33w1VEk2SUZmmTVUf6uTJekcStCQRBa8JKa2ZMawj9jCr12NINqsFe5iVZ4d15L6UZD9FKE775z/hpZcgr/Kp9YEmyajMRRfBlCkwa5aqXCt8ShJR8BvRLYmVD/WhZ8s4gCqTUtnzPVvGsfKhPtIiCoRff4UXXlAto+bN9Y7mHKE9tft8p05B586qD3XdOjWeJGpMElHoST9awIINDlJ3Z+HIKT6nUoMFtaA1pU0Co65MkllzgeJyqcWtR47A9u0BGyvy9D4uyeh8GzfCqFGqem2LFoG5ZhCTRCSKnKUcyCmipNRNRJiV5nFRUllBD6mp0L+/+vPqqwN2WUlGNeFygc0WuOsFKUlEQhjMvn3QsmVALymLXmvCZoO9e2H8eNV1J7wmiUgIg3C5YOFCVRA1wInIG5KMKpKbq4qoPvec3pGYjiQiIQzk5ZfVLtcGrzIjyagi3bqpuk3TpqnBPuERSURCGEh6uir389e/QpcuekdTKRkzqozTCZdfDrVry+w6D0giEsJAzp499/PPEKXP3lAyZuQLdrva6yM9XVpHVZBEJITBLF4Ma9fCvHm6JSJvyPzKqnTrBgcOQP36ekdiWJKIhDCgW29V07h799Y7Eo9Iy8gT9etDUZGqbnvsmN7RGIokIiEM5vhx+O9/wWpV3XQmIcnIU3l58M47cNddaoqkkEQkhNFoGtxzj2oV5efrHY1XJBl5qkkTePdd+OorVdspxEkiEsKAZs9WY0Vz54Iek75qQJKRNwYNgkcfVUUGN2zQOxrdSCISwoC2boWHH1abhQ4bpnc0XvNbMjpw4ABjxoyhRYsW1K5dm1atWjFlyhRKSkr8dcnAePpp6NoVvv1W70h0IYlICIN68klo1w5mztQ7kmrx22y6X3/9FbfbzZw5c0hOTmb79u3ce++9FBUVMdOk/1mAWmuUmmqY3REDSRKREAb2wQdqwzyT3psCuuj1+eefZ/bs2ezbt8+j43Vf9FqVOXPUN3/iRL0j8TtJREIY1Pz5cNVVht1lwJCLXvPy8oiNja3weafTSX5+/jkPQztyRI0fLV2qdyR+JYlICIP65hs1w/edd/SOpMYCloz27t3Lyy+/zNixYys8Zvr06cTExJx+JCYmBiq86vn73+GWW9T+R0FaoUESkRAGtXs3jBgBAweqe5HJed1NN3XqVKZNm1bpMRs3bqRr166n/52ZmUmfPn3o06cPc+fOrfB1TqcTp9N5+t/5+fkkJiYat5sO1GLYq65Sc/o3boS4OL0j8hlJREIYVF4edO+u/r5hAxj4d9PTbjqvJzBMmDCBESNGVHpM87P2Vs/MzCQlJYUePXrw+uuvV/o6u92O3W73NiR9RUWpbroHH1SFCYOEJCIhDOznn6GwUFVaCJLfTb9OYDh06BApKSl06dKF+fPnY/Ny91TDT2AoT36+6RabnU8SkRAmcPKkKWbO6T6BITMzk759+5KYmMjMmTM5duwYR44c4ciRI/66pP6ys+GSS+C11/SOpNokEQlhYO+9pyYslJaaIhF5w2/rjJYvX86ePXvYs2cPTZs2Pec5A2+hVDPx8Wrl8333qfJBQ4boHZFXJBEJYWDLl8Pdd8Odd4KXvUxmIJvr+ZrLpWa4fP45rFgBvXrpHZFHJBEJYWAbN0JKCvTtC59+CmHm2f1H9266kGWzqab0lVfCbbfBiRN6R1QlSURCGFhGBlx/PXTsCIsWmSoReSM435XeatVSn1527lRblhuYJCIhDK5JE3jgARg3DiIj9Y7Gb6Rl5C8xMdCjhxponDoVcnL0jugCkoiEMLC8PPj+e9Xb8n//F1RrGMsjycjfDh+GWbPghhvUAlmDkEQkhIGdPAk33aQ2ySsu1juagJBk5G+JifDll6pc0K23wlkVJvQiiUgIAzt1Cu64Q1VWWLw4qLvmzibJKBC6dlVjSKmpalKDjns6SSISwsBKS1Wty88/h48+UqXGQoQko0Dp318lpCZNdFsjIIlICIM7ehQ2bYIPP4TBg/WOJqBknZFetmyBDh3UZn0BIIlICANzudTYUHS06so3W43OSsg6IyP7/Xe1eG3EiIB02UkiEsLASktVVYWBA8HtDqpE5A1JRnqoXx8WLFD9wrff7tWkhiJnKTsy89ji+J0dmXkUOUsrPV4SkRAGduoUjBypuuUefBCsoXtLlkWvehk8GJYsUbXsbrkFPv64wsKH6UcLWLDBQequLBy5xZzdr2oBkmIjSWmbwMjuSbRuGH36OUlEQhjYqVPwpz+pLWgWLVL3ghAmY0Z6W75craxOTYWkpHOeysgtZtKSNNbsycZmteByV/ytKnu+d3I8zwztyLEDv0oiEsLIvvhCJaCPPjJdUWVveHofl2RkBCUlEBEBx4+rxW6NGrFwo4Mpy3ZQ6tYqTULns1kt2NDIS51Lc1emJCIhjKa4+MzaoYMHoVkzfePxM5nAYCYREerPsWOhZ09e+Wg9Ez9Jw1nq9ioRAbjcGk6XRu0+93Db1DclEQlhJAcOQOfOULbrdZAnIm9IMjKSZ59lYevezPypZnXsLBYLAK98d5APNzp8EZkQoqa2bYOePdXsuX799I7GcCQZGUhGdAOmXDEcKuk5zd+0jIMzBpM5d7xH55y8bAcZuaFR20oIw1q9Gq6+Gho2hB9+gORkvSMyHElGBjJpSRqlbuCPlk15CretAOBUtgNn5q4qz1nq1pi0JM1XIQohvKVp8PTT0KWLSkqNGukdkSFJMjKI9KMFrNmTXekYkfNwOqey9lO7VTcACn9eXuV5XW6NNXuy2ZNV4LNYhRAe0DTIzFQfLj/6SBVMDuaJWDUkycggFmxwYLNW3CICKNymkk+9vndhv6gdRb98h/vUySrPbbNamL9exo6ECJiTJ1VVhW7doLBQ7W8WopUVPCXJyCBSd2VV2ipyn3JStPM7Ihq3JqJBc6I6XYtWcoLiX3+o8twut0bq7ixfhiuEqEhmJvTpoxayz5wJderoHZEpSDIygEJnKY4qJhkU7/oBzVlEnU4DAIhq1xtLRG2PuuoAHDnFVZYOEkLU0I8/qi1jDh2CNWtUhQXhEUlGBnAwp4iqVhMV/rwcS5idqHZXA2CNqE1k26tw/raDU7mHqryGBhzIMc5Os0IEJZcL2rZV20B07ap3NKYiycgASkrdlT5/6vdMnBk7qN2qK6DhPlmI+2QhURerjbfKZtjV9DpCiGooLYXXXlO15nr0gP/+V2bMVYMUSjWAiLDKPxOoZKNRvOsHinddOEZUtP2/1Lt6NBZr5Zv2VXUdIYSXfvtNdcWtWwdt2qjFrJUszRAVk2RkAM3jorBAuV11mttFUdq3hNVrTNyg+y94/sTejeT/uIQT+zYTmXxFhdew/HEdIYSPfPYZ/M//qDpzq1ZBr156R2RqkowMIMoeRlJsJAfLmcRwYt9mXIW51Ov7P9Rq1umC58MbNCN/8+cU/ry80mSUFBdJlF2+3UL4xIYNqtL2jTfCvHkQF6d3RKYn/TYGkdI2odx1RoU/LwdbGHU6XVvu62yRMUS26cGJvRtxFf1e/jFWCyltEnwarxAhKeePupFXXKG2gFi6VBKRj8gWEgaRfrSAa1/6zm/nX/nQ1SQnRFd9oBCifIsWwb33wjvvwM036x2NacgWEibTumE0vZPjq6zC4C2bBXonx0siEqK6jh+HP/8Zhg+HgQMhJUXviIKSJCMDeWZoR8J8mYw0jbBTJTxzXUvfnVOIULJzJ3ToAJ98Am++CQsXqtI+wuckGRlIYmwk04a0990JLRaeSjpFYtMGajFebq7vzi1EMCv9o1pJq1ZqosL27XD33TJt248kGRnMiG5JPDKgjU/O9eiAtgy//3b1j3//G9q1gyVLfHJuIYLWl1+qNUPbt6viprNmQWKi3lEFPUlGBjQhpTUzhnXEHmb1egzJZrVgD7Py7LCO3Jdy1gZed9yhVocPG6b+nlOz3WSFCDplY0M33KCSUb16ekcUUiQZGdSIbkmsfKgPPVuqaaNVJaWy53u2jGPlQ30Y3i3p3AMaNVKtovnz4euvVSvp4EG/xC6E6fzwA1xyiRobmjsXvvoKmjbVO6qQIqsgDSwxNpL3xnQn/WgBCzY4SN2dhSOn+JxKDRbUgtaUNgmMujKp8llzFguMHKlKlsybB0l/JKz9+6FFC3++FSGMqbhYVVBo3lzNkpsxQ7rkdCLrjEymyFnKgZwiSkrdRIRZaR4XVbPKCqtXq+Q0bhz84x9Qv77vghXCqPLzYepUtQPr9u0yQ86PZJ1RkIqyh9G+SQydk+rTvklMzUv89OwJzz8P776rSt/Pmwduqe4tgpSmqa7qtm1hzhy47z6oVUvvqASSjER4ODz8MOzaBQMGqOmrs2frHZUQ/jF2LIweDb17w6+/wsSJsh24QUg3nTjXmjVw+eUQFaXKn3TuDK1b6x2VENW3fz+cOKEmKKxfD4WF0L+/3lGFDOmmE9XTu7dKRKWlMHmy+gUeNw4yM/WOTAjvZGXBX/+quuQmT1Zfu/JKSUQGJclIlC8sDLZuVbOLFi2C5GR44glVyUEIIysshClToGVLNRY6bZoqbioMTZKRqFitWvC3v8G+fWpcae9esNnUIPDJk3pHJ8S5ykYcSkrg9ddh/Hj1s/vEE6q1LwxNkpGoWkwM/POf8OGH6t9Ll6p1Gc8+q6bICqGnwkJ44QXo2FFVFomNVeNEzz2n/i5MQZKR8FxZkchOnVTxyMmT1cLZJ59U/fNCBFJOjlor1KwZPP44dOt2psUu07VNR5KR8F7LlqobZN8+uOceVYT1gw/Uc8adnCmCzd13q9bPqFGqC3nePLjoIr2jEtUkU7tFzeXmqk+ikZHwwAOq4ORjj0F7H26HIcSuXWqB9q23qk3u9uxRXcgNGugdmaiEIaZ2DxkyhKSkJGrVqkXjxo0ZPXo0mTJFOPjExqpEBHDxxfDtt2pDsn79VLmVU6f0jU+YV2kpfPqpWpB98cXwxReQl6eeS06WRBRE/JqMUlJSWLRoEbt27WLx4sXs3buXW2+91Z+XFHobN051333wgUpCt9+u/g1qlpMQnijrsHnzTRg6FAoK1DTt/fvV9t8i6AS0m27ZsmXcfPPNOJ1OwsPDqzxeuumCwL59aozJ7VYLaDt0UFNuU1Jk10xxLk2D779Xm9k1agQvvqhaQXv3qqogwpQM0U13ttzcXBYsWEDPnj09SkQiSLRsqf4sLYX774dffoFrrlH7KU2fDk6nvvEJ/WVnq7Ggjh3h6qvhp5/UzweoMSFJRCHB78no8ccfJyoqiri4OBwOB0uXLq3wWKfTSX5+/jkPESQiIlSF5O3bYdUqdYN5/331dVCbmv3+u64higDKy1MVPkAlo7LSUytWqAKmf/mLruGJwPM6GU2dOhWLxVLpY9OmTaePf/TRR9myZQvLly/HZrNx5513UlHP4PTp04mJiTn9SJRNroKPxQJ9+qhE9PPP6t9HjqixpUaN1PjA4sVS4SEYlZSoBdO33QYNG8Kf/qS+fvHFcOyYKjvVv79034Yor8eMsrOzyc7OrvSY5s2bU6ucRWe//fYbiYmJrF27lh49elzwvNPpxHlWt01+fj6JiYkyZhQKjhxRFR7mz4dNm9Ri2v37wWpVXXlS5t+cNE0ll337oGtX1fq97DK1NmjECFkXFAI8HTPyeme2+Ph44uPjqxVUWd5zVjBOYLfbsctNJzQ1aqTWKD3wgFpPsnOnSkT5+dC0KfTqBTfeqB5Nm+odrahMZiZ8/jksW6bGCr/+WlVJ+Otf1RqhDh30jlAYkN9m0/3444/8+OOP9OrVi/r167Nv3z4mT57M4cOH2bFjh0dJR2bTCfLz1cr6ZcvUFukuF1xxBaxde6Zoq3TrGMPu3arFs3Gj+iDRu7fqdn3gAb0jEzryW8vIU7Vr1+aTTz5hypQpFBUV0bhxYwYOHMjChQul9SM8V7fumRbT77+rT9ll1cNLS9V4w2WXQd++6nHJJepGKPxH09SsyFWrIDUV6tWDN95QXW4tW6oW0KBBEBend6TCRKQckDCvwkJVm2zVKrWD56lTEB+vklXdumocqmFDaTnVlKapnVIjI+G779QEhKwstefVFVfATTep8k9ClEP3lpEQflenDjz1lPp7cTGsW6emC5f9wPfsqVbud+0KXbqoxzXXnHlelC8rS/1fbt6sHps2wc03w5w50KoVjBmjFi337Cn7BAmfkZaRCE6apmrkrVlz5oZ69Chs26YWV77xBhw8qBJU585q9l6ode+53ZCRoRL45s0weLBq6bz4otpMsUGDM0l84EA1iUQIL3l6H5dkJEKDpqlZXo0aqfGmiRPh7bdVggI1dfyVV9SWGL/+qrr92rRRj7g4c3f15eaqyQW7d6v1XLVqwdixqtbbiRPqmAYN1AZ1o0apRagnTqhZi2Z+38IQJBkJUZWyBLVtm7pR9+mjJkPMmaNu1mXq14c77lDJ6sQJmDkTGjeGJk3Un40b6zM25XarxJGZCYcPq4fFAn/+s3pvvXqpafI5OWdes2OHmuTx4Yfq+Nat1WaJkniEnwRFMsrLy6NevXpkZGRIMhKBVVysFmru2aMeCQlw551w6JCqn3b+wu8jR6B2bbj3XpUAoqLUmFZ0tGpt9eypusNWrVID/1areiQmqnO63WceLpe6Vv368M47akp7QYGasFFUpFovf/kLfPONaumc7bLL1PGgWn+xsSrhJCermW4yxiMCrKx4wfHjx4mJianwOEMno7KKDUIIIcwtIyODppUsWDd0MnK73WRmZhIdHY3Fgy6Esgwc7C2pUHifofAeQd5nMAmF9wjev09N0ygoKKBJkyZYK5kkZOip3VartdJMWpG6desG9Q9DmVB4n6HwHkHeZzAJhfcI3r3PyrrnyoTYXFYhhBBGJMlICCGE7oIqGdntdqZMmRL0te9C4X2GwnsEeZ/BJBTeI/jvfRp6AoMQQojQEFQtIyGEEOYkyUgIIYTuJBkJIYTQnSQjIYQQugvaZDRkyBCSkpKoVasWjRs3ZvTo0WRmZuodlk8dOHCAMWPG0KJFC2rXrk2rVq2YMmUKJSUleofmc08//TQ9e/YkMjKSevXq6R2OT8yaNYsWLVpQq1YtunTpwpo1a/QOyee+++47brzxRpo0aYLFYuHTTz/VOySfmz59Ot26dSM6OpqEhARuvvlmdu3apXdYPjd79mw6dep0erFrjx49+Oqrr3x2/qBNRikpKSxatIhdu3axePFi9u7dy6233qp3WD7166+/4na7mTNnDjt27ODFF1/ktddeY9KkSXqH5nMlJSXcdtttjBs3Tu9QfOLDDz/kwQcf5Mknn2TLli307t2bQYMG4XA49A7Np4qKirj00kt55ZVX9A7Fb1avXs19993H+vXrWbFiBaWlpQwYMICioiK9Q/Oppk2bMmPGDDZt2sSmTZvo168fN910Ezt27PDNBbQQsXTpUs1isWglJSV6h+JXzz33nNaiRQu9w/CbefPmaTExMXqHUWNXXHGFNnbs2HO+dvHFF2sTJ07UKSL/A7QlS5boHYbfZWVlaYC2evVqvUPxu/r162tz5871ybmCtmV0ttzcXBYsWEDPnj0JDw/XOxy/ysvLIzY2Vu8wRCVKSkrYvHkzAwYMOOfrAwYMYO3atTpFJXwlLy8PIKh/D10uFwsXLqSoqIgePXr45JxBnYwef/xxoqKiiIuLw+FwsHTpUr1D8qu9e/fy8ssvM/bsjeGE4WRnZ+NyuWjYsOE5X2/YsCFHjhzRKSrhC5qm8fDDD9OrVy86dOigdzg+l5aWRp06dbDb7YwdO5YlS5ZwySWX+OTcpkpGU6dOxWKxVPrYtGnT6eMfffRRtmzZwvLly7HZbNx5551oJig44e37BMjMzGTgwIHcdttt3HPPPTpF7p3qvM9gcv62KJqmebRVijCuCRMmsG3bNj744AO9Q/GLtm3bsnXrVtavX8+4ceO466672Llzp0/ObegtJM43YcIERowYUekxzZs3P/33+Ph44uPjadOmDe3atSMxMZH169f7rFnpL96+z8zMTFJSUujRowevv/66n6PzHW/fZ7CIj4/HZrNd0ArKysq6oLUkzOP+++9n2bJlfPfdd9Xa+sYMIiIiSE5OBqBr165s3LiRf//738yZM6fG5zZVMipLLtVR1iJyOp2+DMkvvHmfhw4dIiUlhS5dujBv3rxKN68ympp8P80sIiKCLl26sGLFCoYOHXr66ytWrOCmm27SMTJRHZqmcf/997NkyRJWrVpFixYt9A4pYDRN89k91VTJyFM//vgjP/74I7169aJ+/frs27ePyZMn06pVK8O3iryRmZlJ3759SUpKYubMmRw7duz0c40aNdIxMt9zOBzk5ubicDhwuVxs3boVgOTkZOrUqaNvcNXw8MMPM3r0aLp27Xq6RetwOIJuvK+wsJA9e/ac/vf+/fvZunUrsbGxJCUl6RiZ79x33328//77LF26lOjo6NMt3piYGGrXrq1zdL4zadIkBg0aRGJiIgUFBSxcuJBVq1bx9ddf++YCPpmTZzDbtm3TUlJStNjYWM1ut2vNmzfXxo4dq/322296h+ZT8+bN04ByH8HmrrvuKvd9pqam6h1atb366qtas2bNtIiICO3yyy8PyqnAqamp5X7f7rrrLr1D85mKfgfnzZund2g+dffdd5/+eW3QoIF2zTXXaMuXL/fZ+WULCSGEELozzwCDEEKIoCXJSAghhO4kGQkhhNCdJCMhhBC6k2QkhBBCd5KMhBBC6E6SkRBCCN1JMhJCCKE7SUZCCCF0J8lICCGE7iQZCSGE0J0kIyGEELr7fwK7CEqfjG52AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -212,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -224,7 +224,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -254,21 +254,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'A': 0.11785113019775861,\n",
-       " 'B': 0.11785113019775795,\n",
-       " 'C': -0.5892556509887904,\n",
-       " 'D': -1.2963624321753375,\n",
-       " 'E': 1.532064692570853,\n",
-       " 'F': 0.11785113019775761}"
+       "{'A': 0.11043152607484681,\n",
+       " 'B': 0.11043152607484658,\n",
+       " 'C': -0.11043152607484681,\n",
+       " 'D': -0.3312945782245397,\n",
+       " 'E': 0.5521576303742327,\n",
+       " 'F': 0.11043152607484646}"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -289,13 +289,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -320,13 +320,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -361,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -394,18 +394,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Internally set radius is: 4.1036569057366385\n",
-      "Thresholds chosen are: [-4.10365691 -3.67169302 -3.23972914 -2.80776525 -2.37580137 -1.94383748\n",
-      " -1.5118736  -1.07990971 -0.64794583 -0.21598194  0.21598194  0.64794583\n",
-      "  1.07990971  1.5118736   1.94383748  2.37580137  2.80776525  3.23972914\n",
-      "  3.67169302  4.10365691]\n"
+      "Internally set radius is: 1.2\n",
+      "Thresholds chosen are: [-1.2        -1.07368421 -0.94736842 -0.82105263 -0.69473684 -0.56842105\n",
+      " -0.44210526 -0.31578947 -0.18947368 -0.06315789  0.06315789  0.18947368\n",
+      "  0.31578947  0.44210526  0.56842105  0.69473684  0.82105263  0.94736842\n",
+      "  1.07368421  1.2       ]\n"
      ]
     }
    ],
@@ -433,7 +433,7 @@
     {
      "data": {
       "text/plain": [
-       "array([2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])"
+       "array([0, 0, 0, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0])"
       ]
      },
      "execution_count": 12,
@@ -459,7 +459,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -494,7 +494,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -585,7 +585,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -615,7 +615,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/Tutorial-ExactECT.html b/docs/notebooks/Tutorial-ExactECT.html
new file mode 100644
index 0000000..40d6481
--- /dev/null
+++ b/docs/notebooks/Tutorial-ExactECT.html
@@ -0,0 +1,354 @@
+
+
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="../">
+<head>
+  <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>3.4. Tutorial for exact ECT computation &mdash; ect 0.1.5 documentation</title>
+      <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=92fd9be5" />
+      <link rel="stylesheet" type="text/css" href="../_static/css/theme.css?v=e59714d7" />
+      <link rel="stylesheet" type="text/css" href="../_static/plot_directive.css" />
+      <link rel="stylesheet" type="text/css" href="../_static/nbsphinx-code-cells.css?v=2aa19091" />
+
+  
+    <link rel="shortcut icon" href="../_static/ECT_Logo_128x128.png"/>
+      <script src="../_static/jquery.js?v=5d32c60e"></script>
+      <script src="../_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
+      <script src="../_static/documentation_options.js?v=59fadc99"></script>
+      <script src="../_static/doctools.js?v=9a2dae69"></script>
+      <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+      <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+      <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "tex2jax_ignore|mathjax_ignore|document", "processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+      <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script src="../_static/js/theme.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="4. Contributing to the ect Package" href="../contributing.html" />
+    <link rel="prev" title="3.3. ECT on Matisse’s “The Parakeet and the Mermaid”" href="Matisse/Matisse_ECT.html" /> 
+</head>
+
+<body class="wy-body-for-nav"> 
+  <div class="wy-grid-for-nav">
+    <nav data-toggle="wy-nav-shift" class="wy-nav-side">
+      <div class="wy-side-scroll">
+        <div class="wy-side-nav-search"  style="background: #cececf" >
+
+          
+          
+          <a href="../index.html" class="icon icon-home">
+            ect
+              <img src="../_static/ECT_Logo.png" class="logo" alt="Logo"/>
+          </a>
+<div role="search">
+  <form id="rtd-search-form" class="wy-form" action="../search.html" method="get">
+    <input type="text" name="q" placeholder="Search docs" aria-label="Search docs" />
+    <input type="hidden" name="check_keywords" value="yes" />
+    <input type="hidden" name="area" value="default" />
+  </form>
+</div>
+        </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
+              <p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">1. Getting Started</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../installation.html#prerequisites">1.1. Prerequisites</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../installation.html#installing-ect">1.2. Installing <cite>ect</cite></a></li>
+<li class="toctree-l2"><a class="reference internal" href="../installation.html#uninstalling-ect">1.3. Uninstalling <cite>ect</cite></a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../modules.html">2. Modules</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../embed_graph.html">2.1. Embedded graphs</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../embed_graph.html#ect.embed_graph.EmbeddedGraph"><code class="docutils literal notranslate"><span class="pre">EmbeddedGraph</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="../embed_graph.html#ect.embed_graph.create_example_graph"><code class="docutils literal notranslate"><span class="pre">create_example_graph()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="../embed_cw.html">2.2. Embedded CW complex</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../embed_cw.html#ect.embed_cw.EmbeddedCW"><code class="docutils literal notranslate"><span class="pre">EmbeddedCW</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="../embed_cw.html#ect.embed_cw.create_example_cw"><code class="docutils literal notranslate"><span class="pre">create_example_cw()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="../ect_on_graphs.html">2.3. ECT on graphs</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../ect_on_graphs.html#ect.ect_graph.ECT"><code class="docutils literal notranslate"><span class="pre">ECT</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1 current"><a class="reference internal" href="../tutorials.html">3. Tutorials</a><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html">3.1. Tutorial : ECT for embedded graphs</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html#Constructing-the-embedded-graph">3.1.1. Constructing the embedded graph</a></li>
+<li class="toctree-l3"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html#Computing-the-ECT-of-G">3.1.2. Computing the ECT of <span class="math notranslate nohighlight">\(G\)</span></a></li>
+<li class="toctree-l3"><a class="reference internal" href="Tutorial-ECT_for_embedded_graphs.html#SECT">3.1.3. SECT</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="Tutorial-ECT_for_CW_Complexes.html">3.2. Tutorial: ECT for CW complexes</a></li>
+<li class="toctree-l2"><a class="reference internal" href="Matisse/Matisse_ECT.html">3.3. ECT on Matisse’s “The Parakeet and the Mermaid”</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current"><a class="current reference internal" href="#">3.4. Tutorial for exact ECT computation</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../contributing.html">4. Contributing</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../contributing.html#getting-started">4.1. Getting Started</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../contributing.html#contributing-guidelines">4.2. Contributing Guidelines</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#code-style-and-formatting">4.2.1. Code style and formatting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#documentation-guidelines">4.2.2. Documentation guidelines</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#testing-guidelines">4.2.3. Testing guidelines</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../contributing.html#issue-tracking-and-pull-requests">4.2.4. Issue tracking and pull requests</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="../contributing.html#conclusion">4.3. Conclusion</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="../license.html">5. License</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../citing.html">6. Citing</a></li>
+</ul>
+
+        </div>
+      </div>
+    </nav>
+
+    <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu"  style="background: #cececf" >
+          <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
+          <a href="../index.html">ect</a>
+      </nav>
+
+      <div class="wy-nav-content">
+        <div class="rst-content style-external-links">
+          <div role="navigation" aria-label="Page navigation">
+  <ul class="wy-breadcrumbs">
+      <li><a href="../index.html" class="icon icon-home" aria-label="Home"></a></li>
+          <li class="breadcrumb-item"><a href="../tutorials.html"><span class="section-number">3. </span>Tutorials</a></li>
+      <li class="breadcrumb-item active"><span class="section-number">3.4. </span>Tutorial for exact ECT computation</li>
+      <li class="wy-breadcrumbs-aside">
+            <a href="../_sources/notebooks/Tutorial-ExactECT.ipynb.txt" rel="nofollow"> View page source</a>
+      </li>
+  </ul>
+  <hr/>
+</div>
+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+             
+  <section id="Tutorial-for-exact-ECT-computation">
+<h1><span class="section-number">3.4. </span>Tutorial for exact ECT computation<a class="headerlink" href="#Tutorial-for-exact-ECT-computation" title="Link to this heading"></a></h1>
+<p><em>Warning: This is a work in progress. Proceed at your own risk.</em></p>
+<p>The goal of this section is so show available tools for exact computation of the ECT.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">ect</span> <span class="kn">import</span> <span class="n">ECT</span><span class="p">,</span> <span class="n">EmbeddedGraph</span><span class="p">,</span> <span class="n">EmbeddedCW</span><span class="p">,</span><span class="n">create_example_graph</span>
+
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">matplotlib.patches</span> <span class="kn">import</span> <span class="n">Circle</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">networkx</span> <span class="k">as</span> <span class="nn">nx</span>
+</pre></div>
+</div>
+</div>
+<p>We can use the <code class="docutils literal notranslate"><span class="pre">EmbeddedGraph</span></code> class to find the angle normal to any pair of vertices in the graph, whether or not there is a connecting edge. Setting <code class="docutils literal notranslate"><span class="pre">angle_labels_circle=True</span></code> in the plotting command will try to draw these on the circle. Note that this doesn’t tend to do well for large inputs, but can be helpful for small examples.</p>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Super simple graph</span>
+<span class="n">G</span> <span class="o">=</span> <span class="n">EmbeddedGraph</span><span class="p">()</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;A&#39;</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;B&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;C&#39;</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="s1">&#39;D&#39;</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_edge</span><span class="p">(</span><span class="s1">&#39;A&#39;</span><span class="p">,</span> <span class="s1">&#39;B&#39;</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_edge</span><span class="p">(</span><span class="s1">&#39;B&#39;</span><span class="p">,</span> <span class="s1">&#39;D&#39;</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">add_edge</span><span class="p">(</span><span class="s1">&#39;D&#39;</span><span class="p">,</span> <span class="s1">&#39;C&#39;</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">G</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">plot_angle_circle</span><span class="p">(</span><span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">)</span>
+<br/></pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<img alt="../_images/notebooks_Tutorial-ExactECT_3_0.png" src="../_images/notebooks_Tutorial-ExactECT_3_0.png" />
+</div>
+</div>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">G</span> <span class="o">=</span> <span class="n">create_example_graph</span><span class="p">(</span><span class="n">centered</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">rescale_to_unit_disk</span><span class="p">()</span>
+
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">G</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">)</span>
+<span class="n">G</span><span class="o">.</span><span class="n">plot_angle_circle</span><span class="p">(</span><span class="n">ax</span> <span class="o">=</span> <span class="n">ax</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<img alt="../_images/notebooks_Tutorial-ExactECT_4_0.png" src="../_images/notebooks_Tutorial-ExactECT_4_0.png" />
+</div>
+</div>
+<p>We can extract the information directly for use in computation.</p>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># If return type is `matrix`, the function returns the matrix of angles and the labels of the angles in the order of the rows/columns in the matrix</span>
+<span class="n">M</span><span class="p">,</span><span class="n">Labels</span> <span class="o">=</span> <span class="n">G</span><span class="o">.</span><span class="n">get_all_normals_matrix</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">M</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">matshow</span><span class="p">(</span><span class="n">M</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">Labels</span><span class="p">)),</span> <span class="n">Labels</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">Labels</span><span class="p">)),</span> <span class="n">Labels</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+[[       nan 5.49778714 5.60844436 5.8195377  5.03413953 5.49778714]
+ [2.35619449        nan 5.6951827  0.         3.92699082 5.49778714]
+ [2.46685171 2.55359005        nan 2.03444394 2.89661399 2.67794504]
+ [2.67794504 3.14159265 5.17603659        nan 3.46334321 3.92699082]
+ [1.89254688 0.78539816 6.03820664 0.32175055        nan 0.        ]
+ [2.35619449 2.35619449 5.8195377  0.78539816 3.14159265        nan]]
+</pre></div></div>
+</div>
+<div class="nboutput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+&lt;matplotlib.colorbar.Colorbar at 0x16b198290&gt;
+</pre></div></div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt empty docutils container">
+</div>
+<div class="output_area docutils container">
+<img alt="../_images/notebooks_Tutorial-ExactECT_6_2.png" src="../_images/notebooks_Tutorial-ExactECT_6_2.png" />
+</div>
+</div>
+<p>This can also be returned as a dictionary, with keys given by angles (note the negative angle is not repeated), and value a list of the pairs of vertices associated. Note that in the case of more than one pair of vertices having the same normal angle, it is given as a list of all pairs.</p>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">angles_dict</span> <span class="o">=</span> <span class="n">G</span><span class="o">.</span><span class="n">get_normals_dict</span><span class="p">()</span>
+<span class="n">angles_dict</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+{5.497787143782138: [(&#39;A&#39;, &#39;B&#39;), (&#39;A&#39;, &#39;F&#39;), (&#39;B&#39;, &#39;F&#39;)],
+ 5.608444364956034: [(&#39;A&#39;, &#39;C&#39;)],
+ 5.81953769817878: [(&#39;A&#39;, &#39;D&#39;), (&#39;F&#39;, &#39;C&#39;)],
+ 5.034139534781332: [(&#39;A&#39;, &#39;E&#39;)],
+ 5.695182703632018: [(&#39;B&#39;, &#39;C&#39;)],
+ 0.0: [(&#39;B&#39;, &#39;D&#39;), (&#39;E&#39;, &#39;F&#39;)],
+ 3.9269908169872414: [(&#39;B&#39;, &#39;E&#39;), (&#39;D&#39;, &#39;F&#39;)],
+ 2.0344439357957027: [(&#39;C&#39;, &#39;D&#39;)],
+ 2.896613990462929: [(&#39;C&#39;, &#39;E&#39;)],
+ 3.4633432079864352: [(&#39;D&#39;, &#39;E&#39;)]}
+</pre></div></div>
+</div>
+<p>We can also get it to return the dictionary with rounded values, as well as to have it include all the opposite angles.</p>
+<div class="nbinput docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">G</span><span class="o">.</span><span class="n">get_normals_dict</span><span class="p">(</span><span class="n">opposites</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+                   <span class="n">num_rounding_digits</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+<div class="nboutput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[6]:
+</pre></div>
+</div>
+<div class="output_area docutils container">
+<div class="highlight"><pre>
+{5.5: [(&#39;A&#39;, &#39;B&#39;), (&#39;A&#39;, &#39;F&#39;), (&#39;B&#39;, &#39;F&#39;)],
+ 5.61: [(&#39;A&#39;, &#39;C&#39;)],
+ 5.82: [(&#39;A&#39;, &#39;D&#39;), (&#39;F&#39;, &#39;C&#39;)],
+ 5.03: [(&#39;A&#39;, &#39;E&#39;)],
+ 5.7: [(&#39;B&#39;, &#39;C&#39;)],
+ 0.0: [(&#39;B&#39;, &#39;D&#39;), (&#39;E&#39;, &#39;F&#39;)],
+ 3.93: [(&#39;B&#39;, &#39;E&#39;), (&#39;D&#39;, &#39;F&#39;)],
+ 2.03: [(&#39;C&#39;, &#39;D&#39;)],
+ 2.9: [(&#39;C&#39;, &#39;E&#39;)],
+ 3.46: [(&#39;D&#39;, &#39;E&#39;)],
+ 2.36: [(&#39;A&#39;, &#39;B&#39;), (&#39;A&#39;, &#39;F&#39;), (&#39;B&#39;, &#39;F&#39;)],
+ 2.47: [(&#39;A&#39;, &#39;C&#39;)],
+ 2.68: [(&#39;A&#39;, &#39;D&#39;), (&#39;F&#39;, &#39;C&#39;)],
+ 1.89: [(&#39;A&#39;, &#39;E&#39;)],
+ 2.56: [(&#39;B&#39;, &#39;C&#39;)],
+ 3.14: [(&#39;B&#39;, &#39;D&#39;), (&#39;E&#39;, &#39;F&#39;)],
+ 0.79: [(&#39;B&#39;, &#39;E&#39;), (&#39;D&#39;, &#39;F&#39;)],
+ 5.17: [(&#39;C&#39;, &#39;D&#39;)],
+ 6.04: [(&#39;C&#39;, &#39;E&#39;)],
+ 0.32: [(&#39;D&#39;, &#39;E&#39;)]}
+</pre></div></div>
+</div>
+</section>
+
+
+           </div>
+          </div>
+          <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
+        <a href="Matisse/Matisse_ECT.html" class="btn btn-neutral float-left" title="3.3. ECT on Matisse’s “The Parakeet and the Mermaid”" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
+        <a href="../contributing.html" class="btn btn-neutral float-right" title="4. Contributing to the ect Package" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
+    </div>
+
+  <hr/>
+
+  <div role="contentinfo">
+    <p>&#169; Copyright 2025, MunchLab.</p>
+  </div>
+
+  Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
+    <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
+    provided by <a href="https://readthedocs.org">Read the Docs</a>.
+   
+
+</footer>
+        </div>
+      </div>
+    </section>
+  </div>
+  <script>
+      jQuery(function () {
+          SphinxRtdTheme.Navigation.enable(true);
+      });
+  </script>
+    <!-- Theme Analytics -->
+    <script async src="https://www.googletagmanager.com/gtag/js?id=UA-XXXXXXX-1"></script>
+    <script>
+      window.dataLayer = window.dataLayer || [];
+      function gtag(){dataLayer.push(arguments);}
+      gtag('js', new Date());
+
+      gtag('config', 'UA-XXXXXXX-1', {
+          'anonymize_ip': false,
+      });
+    </script> 
+
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/notebooks/Tutorial-ExactECT.ipynb b/docs/notebooks/Tutorial-ExactECT.ipynb
new file mode 100644
index 0000000..19a4e29
--- /dev/null
+++ b/docs/notebooks/Tutorial-ExactECT.ipynb
@@ -0,0 +1,255 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial for exact ECT computation \n",
+    "\n",
+    "*Warning: This is a work in progress. Proceed at your own risk.*\n",
+    "\n",
+    "The goal of this section is so show available tools for exact computation of the ECT. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ect import ECT, EmbeddedGraph, EmbeddedCW,create_example_graph\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.patches import Circle\n",
+    "import numpy as np\n",
+    "import networkx as nx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use the `EmbeddedGraph` class to find the angle normal to any pair of vertices in the graph, whether or not there is a connecting edge.  Setting `angle_labels_circle=True` in the plotting command will try to draw these on the circle. Note that this doesn't tend to do well for large inputs, but can be helpful for small examples. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Super simple graph \n",
+    "G = EmbeddedGraph()\n",
+    "G.add_node('A', 0,0)\n",
+    "G.add_node('B', 1,0)\n",
+    "G.add_node('C', 2,1)\n",
+    "G.add_node('D', 1,2)\n",
+    "G.add_edge('A', 'B')\n",
+    "G.add_edge('B', 'D')\n",
+    "G.add_edge('D', 'C')\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbEAAAGdCAYAAACcvk38AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACR7UlEQVR4nOzdeVzN+fcH8NetW7eNqEShrIWyhkQh+1ZNjJ2xk3UwxtAYWUaYsQ2NpTGWwWAs2RlbJetUyhLZVRRRae92b/f8/uh377doubfu3vv5eNzHzP2s56Y+5753DhERGIZhGEYD6ag6AIZhGIapKJbEGIZhGI3FkhjDMAyjsVgSYxiGYTQWS2IMwzCMxmJJjGEYhtFYLIkxDMMwGoslMYZhGEZjcVUdgLyJRCIkJiaiWrVq4HA4qg6HYRiGkRERITMzE9bW1tDRKbuspXVJLDExEfXr11d1GAzDMEwlJSQkoF69emUeo3VJrFq1agAKP3z16tVVHA3DMAwjq4yMDNSvX1/yPC+L1iUxcRVi9erVWRJjGIbRYNI0CbGOHQzDMIzGYkmMYRiG0VgsiTEMwzAaiyUxhmEYRmOxJMYwDMNoLJbEGIZhGI3FkhjDMAyjsVgSYxiGYTQWS2IMwzCMxmJJjGEYhtFYLIkxDMMwGoslMYZhGEZjsSTGMAzDaCyWxBiGYRiNxZIYwzAMo7FYEmMYhmE0FktiDMMwjMZiSYxhGIbRWCyJMQzDMBqLJTGGYRhGY7EkxjAMw2gslsQYhmEYjcWSGMMwDKOxWBJjqiyRSKTqEBiGqSSuqgNgGEWKiooCl8tFjRo18OLFC7Ro0QJcLheJiYlwdHRUdXgMw1QSS2KMVtu3bx/u3r2L6Oho2NraokGDBvjvv//g4eGBly9fwsrKCvv27VN1mAzDVBCrTmS02pIlSxAUFIT9+/dDV1cX27ZtQ2xsLFq1aoWrV69CR4f9CTCMJmN/wYxWMzMzQ82aNdG/f39kZGTA2toa8fHxCA0Nxc8//4yAgABVh8gwTCWw6kRG6+Xl5cHAwAAODg5o3749+Hw+hg8fjkWLFkFHRwdEBA6Ho+owGYapAJbEGK1nYGAAAHBwcMCnT5+wefNmdO7cGQKBAC9fvsTjx4/h4eGh4igZhqkIlsQYrZeTk4MePXogJSUF69evh7W1NYKCghASEoJHjx7hypUrOHbsGLy9vVUdKsMwMmJJjFE7BQUFyMjIwKtXryAUCtGxY8dKXc/IyAi+vr4gIsTExOC3335DTEwMLC0tce7cOZw9exZnz55lSYxhNBDr2MGolezsbPz666/w8vKCu7s7pk+fjhkzZuDOnTuVum5OTg68vb3x6dMnLF++HKdPn0bdunVRr149jBgxAnfv3gURyelTMAyjLCyJMWojNTUVXl5e2LdvH0aNGoX09HQEBQWhVatWmDt3bqWu3a1bN7Rr1w5r166Fq6srOnTogI8fPyImJgampqawtrbGuXPn5PNBGIZRGpbEGLVx9epV5Obm4v79+/Dx8QEA1KtXDz4+PjAyMsLx48crfG0rKyvUqlULly9flmzr3bu35P2sWbMkHUAYhtEcCk1i165dg4eHB6ytrcHhcHDixIkyjw8JCQGHw/niFRsbq8gwGTUgEolw7949fPXVV9DV1YVAIAARSeY39PHxwcGDByt1j0GDBuGff/6RvJ8xYwacnJwAAP369UPPnj0rdX2GYZRPoUksOzsbrVu3lnlA6ZMnT5CUlCR5NW3aVEERMupCR0cHKSkpyM3NBQDJFxgut7DvUY0aNTBs2DBkZmZW+B5DhgyRXB8oLOW5urpK3rM2MYbRPBxS0l8uh8NBUFAQvvrqq1KPCQkJgbu7O9LS0lCjRo0K3ScjIwOmpqZIT09H9erVKxYsoxIvXrzA4MGDce/ePck2kUgEHR0dpKenY9++fQgJCcHRo0dVGCXDMIomy3NcLdvE2rZtCysrK/Ts2RPBwcFlHsvn85GRkVHsxWimxo0bw9nZGdOnT5cksuzsbGzatAnt27fH3r17cefOHZw+fbpS92ElLobRHmqVxKysrBAYGIhjx47h+PHjsLe3R8+ePXHt2rVSz1m9ejVMTU0lr/r16ysxYkbe/P390bNnT1hYWGDz5s1o164d9uzZg1WrViE8PBxHjhzBxo0bK3UPNsUUw2gPtapOLImHhwc4HA5OnTpV4n4+nw8+ny95n5GRgfr167PqRA0WEhKCYcOGoWnTpvj2228xbNiwYvu7du2KxYsXo3///iqKkGEYRZKlOlHtZ+zo1KkT9u/fX+p+Ho8HHo+nxIgYRatXrx4KCgpw48YNAIXVf0KhEEQEfX19tG/fHh8/flRxlAzDqAO1qk4sSVRUFKysrFQdBqNETZo0wYgRI7Bq1SoAgEAggJ6eHvT19RETE4NDhw7B3t5exVEyDKMOFFoSy8rKwvPnzyXvX716hejoaJiZmcHGxgaLFy/G27dv8ddffwEANm3ahAYNGsDBwQH5+fnYv38/jh07hmPHjikyTEYNzZ8/H4MGDYK3tzdatGiBpKQkXLp0CUeOHIGXlxc6duzIllBhGEaxSSwiIgLu7u6S9/PnzwcAjBs3Dnv27EFSUhLi4+Ml+/Pz87FgwQK8ffsWhoaGcHBwwNmzZzFgwABFhsmoocaNG2PSpEnw8/PDvXv3YGNjg+rVq6NJkyaYMmUKANZBg2EYJXbsUBY2Tkx7EBGSkpJw9uxZmJqaombNmujWrRv09fVVHRrDMAoky3OcJTENwqrPCrGfA8NoN63qncj8j/jBfevWLURFReHu3bvYuXOniqNSPpbAGIYRY0lMQ6SkpODDhw9YvHgxTExMEBcXh+joaPzwww9sbkmGYaoste9iX9VlZWXh1q1bGDp0KH799VfUqFEDK1asAI/Hw5QpU1gCYximSmMlMTX28uVLTJgwAdnZ2fj06RN4PB7Onz+PnJwcmJubY+zYsZJjWTsRwzBVESuJqbFGjRph6dKlOHLkCJ4/f47s7Gz4+flh69at+PjxI5o0aQIAEAqFuHr1KpYvX67iiDUXEeH27dtIT09XdSgMw8iAlcTUlLhkVXShxsuXL6Nnz56IjIzE5cuXYWJigvz8fPz3339YvXo1bt++jQ8fPsi8fhsDDBgwABcuXMDu3bsxfvx4VYfDMIiMjJQs2sqUjpXE1NTnVYN8Ph/6+vqYN28eunfvjhYtWkAoFOLOnTtYtGgR+vXrh6ysLKSmpmLcuHEqilpzde7cGQCKrfzMMKri4+Mj+TKqZaOg5I4lMQ3B4/Hw6dMnfPvttxgwYABq1KiBW7du4aeffsK9e/cki4j+/fffeP/+PSIiIlQbsIYZOnQogMLSblpamoqjYaqy6dOn49OnT9i9ezcAsN/HcrAkpkFq1KiBn376CQMHDsT169exbNkydO/eHXFxcdi7dy+WLFmCq1evIiQkBLq6uqoOV6M0a9YMjo6OEAgEOHnypKrDYaqo7777DpGRkZKVO7Zt24Y//vgDQqFQxZGpL5bENIS4SmHq1KkQCASYOHEiOnbsiGXLlsHMzAz79u3DoUOHsGPHDvj7+6Nt27YqjljziNctY1WKjKro6+vD0tISz549w4YNG7Br1y6MGjUKXC7rvlAaNu2Uhho2bBiMjY0lVQ4vXrzA4MGDcf78eVhbW6s4Os0UGxuL5s2bQ09PD+/fv0fNmjVVEgcR4cmTJ0hMTERaWhoEAgGEQiEGDhyImjVrIiQkBI8ePQKXy5W8HB0d0a5dO2RmZuLx48ewtrZG7dq1oaenp5LPwFTcTz/9JBlKc/LkSTRt2hQFBQVVqnaFTTulxcS9Fv/55x/MmDEDX3/9Nb777jts2rQJzs7OqF27tqpDVDqRSISCgoJKP7DFVYoPHz7EyZMn5d5LMTc3F3w+HzVq1MCrV69w5MgRJCUlITExEUlJSTA1NcXp06cBAE5OTsjJySl2fnR0NGrWrIkjR44gMDCwWBXTggUL0K5dO9y9exfdu3cHUNg5qFatWnB0dMSVK1cAABs3boS+vj6srKxgbW2NevXqoW7dumyMoQqdO3cOqamp+PDhAyZOnIiVK1fC0tISQUFBSEtLQ3Z2NoyNjVUdptpiJTENVHRg89y5c/Hy5UtYW1tj2LBh6NGjh4qjU66LFy9i4cKF+OabbyRL/VTGypUrsXTpUvTv3x/nzp2r1LUePXqE4OBgREZGIiIiAo8ePcKiRYvw888/Izg4GN7e3pJkYmVlBXt7e/z0008AgP/++w9mZmYwMzODnp4euFwueDwedHSKtwCIRCJJMtPX10dOTg6ePn0qSYyJiYngcDhYsmQJAMDBwQHPnj2DQCCQXCMsLAyurq64cuUK0tLS4OTkhAYNGrDEpgQTJ07E+/fvYWFhgdu3b8PW1hZTp07F119/jeXLl+O///7Dt99+i65du8LAwEDV4SqNTM9x0jLp6ekEgNLT01UdikIVFBRI/l/8WUUiEWVnZ6sqJJX4888/CQBZWlrK5bM/fvyYAJCenh6lpqZKdU5OTg7dunWLAgICaMKECfTgwQMiIlq0aBHp6elRu3btaMqUKbRjxw6KjY0losJ/K1UpKCig5ORkunfvHp06dUrycxs7diwBIABkZmZGvXv3pnPnzhERkUAgUGnM2mjWrFk0ZMiQYtvmzp1LHh4eFBYWRkREixcvJmdnZ8nvVFUhy3OcJTENVvShkpubS1u3bqX58+dTYmKiCqNSrvz8fGrYsCEBoPXr18vlmo6OjgSAdu/eXeJ+oVAo+f/BgweTrq6uJPG1a9eOQkJCiIjo06dPlJeXJ5eYlCUpKYnOnDlDy5cvJ09PTzp9+jQREQUGBpKZmRn179+ftmzZQq9fv1ZxpJpt7ty5ZGtrK3mflZVFRESZmZn09ddfF0tuR48eVXZ4KseSWBVJYkWNGzeOJk2aRGvXri2xRFK05EZE9PHjR2WFpnDyLo2tWLGCAFD//v0l29LS0ujgwYM0cuRIqlmzJiUkJEjuvWPHDoqIiNC4hCWLe/fu0fLly6lXr16kp6dHAGju3LlEVJjUP//9YkonEAhoz5491LFjRzpw4IBke35+PhER/ffff9SwYUPJ75hYVSoJsyRWBZOYOCmJHybiX/jPf/Hv3r1Lx48fp8aNG9P06dOVG6SCyLs09nmVore3N3G5XAJAbdu2JT8/P3r37p0cItdMnz59osOHD1NoaCgREZ08eZKsrKxo6tSpdObMGcrJyVFxhOovJyeH/vnnH+rQoQMFBgYS0f/+Vu/evUujR48uVuKvamR5jrPeiVrCzMwMQGGPNPr/jh/i/+bl5eH169fYtGkTnj9/DgsLC7x///6L3m+aSk9PD0uWLMGkSZOwdu1a+Pj4wMjISObrEBEiIyMRFBQEAwMD5OXl4eTJk+jYsSN69+6NQYMGoX79+gr4BJrF1NRUMqYOAJo0aYKRI0fi5MmTCAwMhJGREebNm4eff/5ZhVGqN0NDQwwaNAhEhHXr1qGgoAA+Pj4ACjsXNW7cuEp1qa8UBSdUpauqJbGSJCQkUGRkJHl5eZGjoyONHj2aXr9+TVFRUTRnzhz677//iOh/1RiarDKlMZFIRH/++Se1bduWAJC5uTm1adPmiypFpmwikYgePXpEa9asoYMHDxIRUVRUFE2YMIEiIiJUHJ16ysnJocOHD5OLiwvt3LmTJk+eTJMmTZLsr0pViEXJ8hxnM3ZosatXr2LYsGFo0qQJrK2tYWpqCltbW9y+fRs3btyAra0tAGjFgFhxaQwA1q5dK1Up8+nTpxCJROBwODh8+DDq1q2Ls2fP4t27dzh48CAA4NKlS2zuOilxOBw0b94cP/zwA0aMGAEASExMxOXLl9G+fXs4Oztj7969yM3NVXGk6sPQ0BAeHh6YN28e5s2bh+zsbOzcuRMAJL+bTDmUkFSVipXEirt//z4RFTa+d+nShTw8PMjT05MuXLhQ7LgePXp80d1X00hTGhMIBHTs2DHq2bMnAZD8HEoqjbZs2ZIA0K5duxQat7YTCoV08uRJ6tu3LwGgxYsXE1HVLWWUJCcnh+7cuSN5X9V/NqwkxkjmWmzZsqVkyprr168jMzMTmZmZkgU1AaBXr15ITU2FSCTC7NmzVRVypZVXGtuxYwcaNGiAIUOGIDc3F/v375fMblFSaVQ8s/2RI0cUG7iW09XVhaenJy5cuIBnz55Jfsd+/fVX9O/fH6dPn0ZBQYGKo5S/pUuX4uHDh1Ida2hoiI4dOwJgJTBZsSSmpYr+ERRtIE5LS0OfPn3QuHFjAMDIkSMRERGBqKgoHD9+HHFxcZgzZ47S45WXsWPHomHDhkhOTsb27dvx6NEjvHv3DgAk8w9GRUXhxo0bGD16NHg8XqnXEicxVqUoP02aNIGVlRUAoGnTpkhJSYGnpycaN26MTZs2IS8vT8URysf06dMRExMDR0fHYttFIlGx9yUl789nZWHKofiCoXKx6sTShYaGUufOnSVVFd26daOmTZtKGpXFfvnlF3r16pWKoqw88bgxAwMD4nA49MMPP1T4WqxKUfH+++8/+uabb0hXV5fOnz+v6nAqbebMmTRixAjJ+9OnT9PTp08l7x8+fEhLly5VRWgag40TY0msVOIZGPr06UOtW7cmIqLU1FRydHSUjFfRZB8/fqRvv/1WMn3SV199RXw+v8LXK2ngM6MYL1++lHzBmjlzJp08eVLj2oaWLVtGxsbGkvfr16+n7t2704cPHyTbnj9/Tg0aNCh1RhiGtYkxJaD/byMbNGgQNm/ejKioKISHhwMAatasiQsXLsDGxkbjF99LTEzEnj174OXlBQC4efNmpT4Tq1JUnoYNG4LD4SA7OxuxsbHw8vKCq6srwsLCVB2aVIRCIVxdXdGxY0esX78ef/zxB06cOIE///wTFhYWkuMaN26M5cuXg4i0si1Q6RSeUpWMlcSkI54NQCgUavTMAHw+nwICAqhbt24kEAiIqHAeOnnO4sGqFFXj4sWL1K5dOwJAw4cPV3U4ZSrauzUsLIw6d+5MJiYmlJKSUuy48ePH09OnT+nZs2fFSmdMcawkVgVQBVfQETcs6+rqgoigq6urkTMDiEQiHDx4EM2bN8fs2bPRoEEDZGdnAwCMjY0rNG6sNKyXomr07t0b4eHhOHz4sKQXaXp6Ol69eqXawD4zf/58jB07FsuXL0d8fDxcXFywZs0atGvXDps3b5YcN3LkSHA4HDRt2hRNmjQpVjpjKkHhKVXJqlpJLDg4mEaNGkVeXl4VKlGJ2xySk5MpOTlZ3uEpzFdffUUAyMPDo9RlKuRVGhPPpcjlcqVenoVRjBUrVpCenh6tWLFCLWaa8fHxocGDB9PRo0epS5cudOPGDcm+sLAw6tGjBy1evJjGjx9P06ZNk+zTtLY+ZWMdO7Q8iRUUFNCnT59o5MiRNGnSJOrYsSM1bty4wkkoKiqKfvzxR/r222+/qP4oKiIigrZv317RsCtNKBTSp0+fiKiwqunatWvlniOvGe7FVYqsMV61srKyyNfXl3R1daldu3Z07949lcUyYcIEGjx4sOS9t7c3jR07ln788Uc6duwYERUmskaNGtGwYcMkx7EZ/8vHkpiWJ7Fly5bR1KlTqV+/fhQXF0dfffUVrV69WubriEQiysnJoYEDB9LKlSvpyJEjpR4bHh5OY8eOpYYNG9LkyZMrE36FPHr0iJydncnb21um8+RVGjt16hSdPXu2Uj0dGfkJDw8nR0dH0tPTo5cvXyr9/u/fvydLS0tavnw5ERFt3ryZGjRoQDt37iQ/Pz9q2rQpXbx4kYiInjx5IjmPJTDpsCSmpUns+PHj9M033xCXy6Xu3btLqiS+/vprCg4OJiKilJQUevDggWS6KWl8vnTG51UdDx48oNGjR9PatWspOjqaRo4cST4+PpX7MFISCoW0du1a4vF4ZGdnRzdv3pT5GvJeb4xRD3l5eZISj0gkomfPnin1/vfv3yd7e3vq3bs3ubq6Unx8PBEVlhYnTpwomQRZjCUw6bGOHVooKysLJ0+ehI2NDRISEmBqaoqxY8fi5MmTePr0Kbp27QpfX1+MHj0agwcPhq+vL7y8vKSabNXAwKDY+6KzfURERGDt2rW4c+cOkpOT0bp1a/z99994+PAh9u7dK/fPWVRBQQG6d++ORYsWYfbs2YiOjoaLi4vM1/l8Fg9GO/B4PAwePBhAYaebFi1aYOXKlRAIBEq5f8uWLXH8+HG8e/cO7dq1kyzTY2xsjJcvXyIrK6vY8WwmDgVRQlJVKm0uiYlEIsky5kREs2fPJg6HQ4GBgbRx40aytLSkixcvSlaE/f7778nFxYViY2MrdL/w8HAaN24c+fn50enTp6lLly60YcMGevz4MU2dOpVOnDghl8/1OaFQKGm03759e4VKX59jpTHtlpeXRz/++CPp6upS27ZtldpW9uDBA7Kzs6NVq1aRUCikkSNH0sSJE5V2f23EqhO1NImJFe2V5eXlRXPmzCELCws6c+bMF8du3ryZ/P39Ze7J9ebNG+rfvz/5+vrS48ePiYjo7du3VKNGDRo2bBgNGjRIskZURkZGJT5NcY8fPyZnZ2f66aef5HZNIvmv/syop6JtZUV7CiqauGrR2tq6WC9EVoVYMSyJaXkSEzt9+jSZmprS/v37acqUKcVKGOLu9gkJCXTq1KkKXX/69OnUtWvXYtsmTZpEjx8/po8fPxIRUVxcHOnr6xfrfVVRQUFBZGxsXOG2r/KIS2O2trYaPcCbKVteXh4FBARIBr+L/6toDx48oB9//FHyniWwilObJBYaGkqDBg0iKysrAkBBQUHlnhMSEkLt2rUjHo9HDRs2pG3btsl0z6qUxOLi4mjr1q20c+dO6tKlCxGVPP5E1h51Ra8xbdo0Gj16NH38+JH2799PPB6PIiMjiaiwZFazZk2aM2cOjRs3jqZPn16hzyESiWjlypUEgIYMGVKsylSe8vPzaenSpZSYmKiQ6zPqJzQ0lJo1a0YxMTFKvS9LYJWjNh07srOz0bp1awQEBEh1/KtXrzBgwAC4ubkhKioKvr6+mDNnDo4dO6bIMNUSEeH169dlHmNjY4Pp06ejU6dOqFGjBlJTU8HhcCSzeYhn59DX15fp3hwOR3Lu9u3bwePx8M0332D27Nn47bffYGtri/Hjx6Nz585o1KgRfvvtN+zZswdv3rzBDz/8IPuHBfDo0SMsX74c//zzD4yNjSt0jfLo6elh+fLlkqVAGO1Xr149cLlcdOrUCadPn5bLNS9fvozff/+9zGNYJw4lUnhK/X+QoiS2cOFCatasWbFt06ZNo06dOkl9H20pia1bt44MDQ1p7dq1Uh2/ePFiatu2Ld2+fVtuswEU/TaZnJxMcXFxJBKJqGPHjgSA6tSpQ927d6eAgADJcXv27JG6jSwuLo6uXLnyxb0YRp4yMjLoq6++Ig6HQ6tXr67U38elS5fIwMCAANDJkyflGCVTlNpUJxa7kRRJzM3NjebMmVNs2/Hjx4nL5ZbaMSEvL4/S09Mlr4SEBI1PYnFxcdS+fXsKDQ2lYcOGUbdu3aTqYXjkyBHq2LEjbdiwgW7fvi2XWD7/g3/16hVVq1aN9PT0CAC5urpS8+bN6Z9//pHpumFhYWRpaUktW7ZkCYxRuIKCAvrpp5/I1ta2wlOHFU1ggwYNory8PDlHyYhpbBJr2rQprVq1qti2GzduEIBS2zH8/Pwka0cVfWlqEhOJROTm5kYLFy6UbPPz86MJEyZIdX5iYiK9fv1aYXOz+fj40JgxYygsLIxMTEwIALm5uVF4eLjU99y5cyfp6elR165dNWq+RkbziWsJkpKSJENRpMESmHKpTZtYRRQdaAv8b7b2z7eLLV68GOnp6ZJXQkKCwmNUpE2bNkEkEiE0NBQLFy4EAHz48AHVqlWTHJOfn1/q+VZWVrC1tS3151VZ27Ztw759++Dq6opz587B2NgYYWFhWLx4sVQDq3/55RdMnjwZEydOxKVLl1CrVi2FxMkwJRH/Hc2ZMwcdOnTA7du3yz3n8uXL8PDwQF5eHgYNGoSjR4+Cx+MpOlRGSmqVxOrUqYN3794V25acnAwulwtzc/MSz+HxeKhevXqxl6ZKSEjAzp07ceLECVy+fBmvXr2CpaUl9PT0YGdnh0OHDmHYsGGYNGkSVqxYofT46LPlX9zc3HDhwgWYmJjg8uXL8PLyKnfJE29vb2zfvh3bt2+XucMJw8jLli1b0LhxY3Tr1g379+8v9TiWwDSAwsuF/w9Sduxo3rx5sW0+Pj5VomOHSCSi5s2b0+HDhyXbMjIy6OuvvyaBQEDdunWjMWPG0MKFCykiIoI8PT2pZ8+eSu86XJKiVYu9evX6YkaMlJQUmjx5smQGeoZRB3w+nyZMmEAASlydgVUhqo7atIllZmZSVFQURUVFEQDasGEDRUVFUVxcHBERLVq0iMaOHSs5/uXLl2RkZETz5s2jR48e0Z9//kl6enp09OhRqe+pqUksPT2dunTpQt7e3pSUlEREhUukjB49mtzc3KhRo0aSn5tYQEAATZgwQS3WuCotkSUnJ1ObNm3I3Ny81HW/GEZVRCIRffvtt/Tnn38W284SmGqpTRILDg4usdPFuHHjiIho3Lhx1K1bt2LnhISEUNu2bUlfX58aNGhQ5QY7r1+/nlq1akU+Pj40dOhQat68OTk4OBTrzivuqVlQUED79++ntLQ0FUVb3OeJ7MWLF+Tg4ECWlpYsgTEaISwsjCUwNSDLc5xDVMF17tVURkYGTE1NkZ6errHtY0+ePMFff/0FZ2dn1K5dG/7+/vjhhx/QuXPnL45NT0+HqampCqIs2fXr19G/f39kZWXByMgI1atXR3BwMJo1a6bq0BimTGFhYejatSu4XC6EQiFrA1MhWZ7jXCXFxMjA3t4eq1atAlC4BEtWVpbkH1IgEEBPTw9EBA6Ho1YJDABcXV1x/vx5SSJr27YtbGxsVB0Wo4Gy+UK8TslGvlAEfa4OGpgbw5inuEcWn8+XJDB7e3uWwDQES2JqzsTEBG5ubliwYAF2794tmTJJEV3oc3NzceDAAUyaNKnC1//w4QNevnwpSWQ3btyAl5cXTp48CSMjIzlHzGibZ+8zceBOPIKfJCM+NQdFq4k4AGzMjOBub4nRzjZoWrtaaZeRmbgXojiBPXnyBFu2bMGCBQvkdg9GMVh1ooZYvXo1Dh48iDFjxqBdu3ZwcnJCzZo15XZ9IsI333yD/fv3Y8iQIdizZw9MTExkukZqaip69OiB9+/f4/Hjx3j48KGkRNarVy+WyJhSJaTmwDfoAcKef4SuDgcFotIfS+L9bk0s4O/dEvXNKvc7VVI3+p9//hk3btzAxYsXweWy7/rKJstzXK3GiWkyRX8XWLx4MY4cOYKcnBzo6uqiRo0acr0+h8NB165doaenh2PHjqFTp054/vy51Oenp6ejX79+ePv2LS5fvowaNWpIqhZlGUfGVD2HwuPRa2Mobr5MAYAyE1jR/TdfpqDXxlAcCo+v8L1LGwe2YsUKXLhwAVwuF5mZmRW+PqN4LInJiXjm9927dyvsHvb29li2bBnc3d0VUp04ZcoUhIaGwsrKCjExMejQoQPOnz9f7nn5+fnw9PTEs2fPcOnSJTg4OEj2sUTGlCUg+BkWHX8AvlBUbvL6XIGIwBeKsOj4AwQEP5P53mUNZOZwONDX10dCQgKaNm2Ko0ePynx9RjlYEqsk8ZIl4qmXJk2ahB07dqg4qopzcXFBZGQkOnfujE+fPmHgwIHw9/cvs6SZnZ0NHo+Hs2fPok2bNl/sZ4mMKcmh8Hisu/hULtdad/EpDstQIpN2Jo66devC3d0d48aNQ3R0tFxiZeSLtYnJQXx8PDw9PTF+/HgsW7YM+/btg4eHBwBIehFqmvz8fMyZM0eSkEtrJ+Pz+eDxeFJ9zqLd71kbWdWWkJqDXhtDwReKyjwuP/kVMsJPIi/+AQqyUsHR0YWeWV0YNXeDSeu+0DX8X+cOHlcHl+d1K7eNTNappHJyctC1a1d8+PAB4eHhsLS0lO3DMjJjbWJKdOLECSxbtgwuLi4YOXIkevXqhbp160r2P3/+HP3798eGDRtUGKXs9PX1sX37dgQGBpbaTnblyhXY2dnh1atXUiVqViJjxHyDHkBYTvVhZvQFJO2Zi/ykpzB1Hozaw5aj1uAfYdSsC7KiziPl3G/FjheKCL5BD8q8ZkXmQjQyMsKJEyfA5/MxZswY6T4gozQsiVVCdHQ0fHx8kJaWhi1btqB27dpIT0/Hhw8fABSWZq5evYq4uDhER0ejffv22LRpk2qDllFp7WQvXrzA0KFD0axZM9SvX1/q67FExjx7n4mw5x/LbAPjv32M1H+3wqBBG1iN/w3V2g2EgW0rGDZsC1OXYbCeuh0mrXoXO6dARAh7/hHPk0vuiFGZyXzr1auHEydOwN/fX/oPyigFS2IVtHfvXixYsAAeHh7Iz8+Hm5sb/P398fTpU3Tp0gVAYTXjsWPHsHLlSvz111/YtWsXgoODERAQoOLoZVNSO1nnzp1hbm6OQ4cOydwFuWgiS0xMRHZ2toIiZ9TRgTvx0NUpu+SefvMfgMOBeb9Z4HD1vtjP0dWDUVPnL7br6nCw/3bJbWNv3rwBn8+v8EwcnTp1Qvv27SVfThn1wJJYBfH5fIwfPx5//PEHzp49i59++glnz55F/fr1IRKJkJ+fj0uXLkEgEGDIkCEAgFatWmHmzJk4dOgQEhMTFd4tvzRlrUdWGisrKwQHB2PatGkgIiQnJ6Nx48bQ0/vyASMNV1dXXL58GcHBwWxNsSom+ElymaUwEhUgL/4+9Os0Abe6bL8bBSJC8NPkEveNHz8e58+fr/RMHIGBgejTpw+uXLlS4Wsw8sOSWAVNnTpVUj8uFAoxYMAA7NixA+np6eDxeHj37h2OHz+OcePGASicLgoA2rRpgydPnoDD4aikw8ft27fRpEkTnD17VuZzxe1kP/zwA7hcLv7991+4uLjINJ6sKGdnZ9ZIXsVk8YWITy27+liUmwES8ME1rV2he8Sn5CCbLyxxX9++fSs9lZSPjw969uyJoUOH4sWLF5W6FlN5LInJgbg67cyZMzAzMwOPx8Pp06fB4XAwfvx4AICOTuGP+tChQ+jQoQP4fL5KYvX390dCQgIGDRqE8ePHIy0tTepzIyIiIBAIsGbNGly7dg1WVlZ4+PAhOnTogAsXLigwakZbxKVkQ9H1DwTgdYriqqi5XC4OHToECwsLeHp6IiMjQ2H3YsrHkpgczZs3D2vWrEFsbCy2bt2KHj16SPbp6uoiMzMTV65cgZOTEywsLFQS4+HDhzF//nxwOBzs3bsXjo6OUpXKoqKi0LVrV2zcuBFAYTtZREQEXFxc8OnTJwwYMACrV69WWRUpoxnyy+lSDwA6htXB0eNBmP5eofepjJo1a+LkyZN48+YNDh06pNB7MWVjSUxOiAg8Hg8uLi5o2rQpvLy8cOTIEcycORNxcXG4ceMGRo0ahfz8fHh4eMDExAQFBQVfXEc8ePrQoUNwcnKSeycQQ0NDrF+/HtevX4ednR0SExPLLZXl5eVh9OjRaNasGWbPni3Zbm1tjeDgYEydOhVEBF9fXwwbNgxZWVlyjZnRHvrc8h85HB1dGNi2Rv675xBmfFTYfSqrefPmePDgAaZOnarwezGlY0lMToq2b+nq6sLf3x9hYWGoWbMmhg4dit9//x26urrYvn07OnbsKDnuc+Jqx4MHD8LV1RXBwcFwcXHBli1bAMhvjsbOnTsjOjpaqlLZsmXL8OLFC/z1118wNDQsto/H42HHjh3YsWMH9PT0cPTo0Uq1kzHarYG5MaRpCTZ1GQoQIeXCFlCB4Iv9VCBEzrM7JZ7L+f/7KIONjQ2ICAcOHEBcXJxS7skUx2bsUBCRSCRJSHw+H3w+XxLP06dPERISAm9v72I98woKCqCrq4uTJ08iICAAJ06cgLGxMaKiohAYGIglS5YUG0gtLzdv3sSECRPw9GnhFEDjxo3Dxo0bUbNmTcTGxsLBwQErV66Er69vmde5desWhgwZgqSkJNSoUQMHDx5Ev3795B4vo9m6/RqMuHI6dwCFg51TL26Dnnk9VGs7AHoWNiBRAfLfv0BW9AXoWdjCcsiSL86zNTdC6AJ3RYReouzsbLRo0QJ2dna4ePGiRs7Qo27YjB1qQJzARCIReDweqlX73/Q4AQEB+O+///D27dti54hLZnv37sXTp0+xYMECvH//Hm3btsW2bdtQt25dpKWl4enTpwgKCpJbrGWVyuzt7XHs2DEsXLiw3OuwdjJGGu72luWOEwOAam36wWrcRujXboL020fx/vBP+HDsZ+Q8ugbjFt1h3n/2F+fo6nDgbqfcHq/GxsbYuXMnLl++jMDAQKXem2ElMaV78uQJpkyZggMHDhSb6UJccjt06BAOHTqEBQsW4N9//8XZs2fxww8/YPjw4QgKCsLmzZvB5XJhYGCAly9fwsfHp1g7VWWVVSqTFp/Px5w5cxAYGIjOnTsjODgY+vr6couR0VxEhB0HT2LNg4qNL5TG5Xld0cRSfgtmSmvq1Kk4ePAgHjx4gAYNGij9/tpEluc4S2IqkJubC0NDw2JVjmLe3t5wc3PDvHnzwOFwkJqaCiLC+/fvMWbMGIwYMQITJkxArVq1EBMTAz8/PzRt2hRLliyBsbF82gFyc3MxefJk/P333wAKO3AEBgZi4MCBMl1nz5496Nu3r2Q1aqbqIiKcPHkSy5cvR3R0NJpNDwC/RgPIuPpKmXR1OOjcyBz7Jn05k4cyZGRkoGXLlvD09JS0YTMVw6oT1Zy4c8TnCezIkSNITExEjx49wOFwUFBQADMzM5ibm+Pnn39GmzZtMG7cONSqVQtCoRAODg44ePAgbGxsSuwkUlEcDgdRUVFo1qyZ1D0YSzJ+/HiWwKo4IsKJEyfQrl07eHt7w8zMDKGhobj48wTo6cr38cPV4cDfu6VcrymL6tWr48qVKxo32bemY0lMjXh5eWHTpk2ws7MD8L8k9/79e3z48AEDBgyQzHDB5XJBRNDT08OwYcNgYGAgtzjEvRGPHj0qdQ9GhimqtOR15coVdO3aFfXNjLDc06H8C8lghadDucuwKFqTJk2gp6eHu3fvst6KSsKSmBrR19eHi4uLZI0tcS+n2rVrg8/nIzMzExwORzKFlXi/ubm53GKIjIzEr7/+imXLlsHBwaFC48qYqqu85FXUiA42WNDHTnxmpe77fR97DO9gU6lryItQKMTQoUMxadIk1qlJCVgS0xDOzs6SQcR6enoK++No0aIF1q1bh++//77YdlnGlTFVjyzJq6hZ7k3xg3s9kFAAkGyzbOjqcMDj6mDt4JaY6d6ksh9BbrhcLrZt24YrV66w3opKwJKYhhg5ciR27tyJqVOnIi4uDiKRSLJumbzk5+fD0NAQ8+bNK3F5FVYqYz5X0eRV9PxTGxdBeMoPnRoW9oAtr/u9eH/nRua4PK+b2pTAiurTpw8mTpwIX19fpKenqzocrcaSmIZo164dbt68CSsrK3h6emLRokW4e/fuF8eFhoZ+Mf5MGunp6WjSpIlU489KK5Xdu3dP5vsymqmyyUts9+7duHDhAgI3rMahaa64NLcrxjrbwtbc6IuZPTgoHMg81tkWl+d1xb5JzipvAyvLypUrkZubi3Xr1qk6FO1GWiY9PZ0AUHp6uqpDkauCggLJ/+fk5NCTJ09IIBAUOyY3N5esra1JX1+fZs2aRW/evJH6+kuWLCEDAwOZziEiunHjBtnZ2VGDBg0oMzNTpnMZzSMSiSgoKIjatGlDAKhHjx4UGhpaoWslJCRQ9erVady4cSXuz8oT0MO3n+huXCo9fPuJsvIEJR6nzk6dOkXv3r1TdRgaR5bnOEtiGqZoMvtcXFwcubm5EQpbyaVOZu/evSMjIyP64YcfKhRTTk4OPX78uELnMppBnslLfL1+/fqRtbU1paWlyS9QNcXn81UdgkZhSUyLk1h5RCIRXblyRaZkNnPmTKpRowalpqYqOVpG3ck7eYn9+eefBIDOnDkjhyjVW3h4ONWpU4eePXum6lA0BktiVTiJiUmbzEQiEQ0ePJjWrFmjwmgZdaOo5EVUfjWitsnJyaG6devSiBEjVB2KxmBJjCUxCVmSGaP+FN1OpMjkJb5+VapGFPvjjz8IAEVGRqo6FJmIRCL6999/6fbt25L3yiDLc5zNnVhFEBGCg4OxbNkyhIWFASgcb9arVy8EBgaiXr16Ko6QKc2z95k4cCcewU+SEZ+aU2xYMAeAjZkR3O0tMdrZBk1rV2ziW/psbsMePXrAz89Ppp6G0ti1axcmTZqEM2fOyDwXpyYTCoVo2bIlbG1tceHCBVWHU66goCCcOXMGkZGRaNSoERYsWIDOnTsr7f5s7kTmCxwOBz169JB0g3Zzc4NAIMD58+fRuHFjzJ49u0Jd8xnFSUjNwdg/76D3pmvYdycOcZ8lMKCwaB2XmoN9d+LQe9M1jP3zDhKkWKtLcr6cuspL482bN5g3bx7GjRtXpRIYUDgAetWqVfj06RMyMzNVHU6ZAgICMGrUKHTq1AmhoaE4fvy4UhOYrFhJrIoKDg5Gjx490Lx5czx+/BhA4bRXU6dOxaJFixSy+CYjvUPh8fA7FQOhiFAgw1TvujoccHU4WO7pgBFlDAJWVsmr6P0GDBiA+/fvIyYmBjVq1FDIfdSZ+FGrLotmEhHOnDmD/fv3IycnBx06dMCwYcPw9u1b7N27FwEBAahevToePnyImzdvonPnznB0dFRKbKwkxpTrp59+Qvv27fHw4UNJySw/Px8BAQFo1KgRK5mpUEDwMyw6/gB8oUimBAYABSICXyjCouMPEBD87Iv9yix5FSUZ1BwYWCUTGFCYvDgcDq5fv47r16+rNJatW7eiQYMG2LNnD/r37w9/f3/cuXMHCxcuRHR0NGxtbdGvXz/07dsX48ePx9u3b1G7dm2VxlwaVhKrgiIjI9G+fXucOHECXl5eAEpuM2MlM+U7FB6PRccfyO16awe3xPAONkoveRX15s0bODg4wNvbG3v27FH4/dRdly5dYGhoiMuXL6sshitXruC3337DqVOnJNsyMjLw22+/4dy5c5gyZQrWrl2LAwcOoH379kqPT+1KYlu3bkXDhg1hYGAAJycnyUOyJCEhIZJvLEVfsbGxygi1SrC3t8euXbswaNAgybaS2sxYyUy5ElJz4Hcq5ovtWfcvI27NoP+9fvVGwpYxePf3YqTf+gcF2Z9KvebSUzH485DyS15iRIQpU6bAxMQEmzZtUvj9NMHMmTNx5coVlT7TXF1dERsbi9evX6OgoABA4XpoPXv2RHZ2NjIyMuDq6go9vZJX4Fanso/Ck9jhw4cxd+5c/Pjjj4iKioKbmxv69++P+Pj4Ms978uQJkpKSJK+mTZsqOtQqw8TEBBMmTChxIc3ykpkqvz1qO9+gBxCWUX1oPmAu6oxdh9ojVsKs93ToWzZC+u1jSPxjOnJfR5d4Dj9fAN8TD5SevMRYNeKXhgwZglq1amH79u0qi4HH46FNmzYICwsr9hyoU6cO7OzskJ2djTp16uDmzZsAgEuXLmH69OlYuHAhAPVp1wOUkMQ2bNiASZMmYfLkyWjevDk2bdqE+vXrY9u2bWWeZ2lpiTp16khe8ly5uCrbtm0bpk+fXu43qZKSWfXq1eHi4qKkSKuWZ+8zEfb8Y5ltYHq1bMGr2wwG9R1h3KwLzHpNgfXELeDoG+DD8VUoyC5hJQEdXRg2bIcdB08oNXkBVbs3Yll4PB4mT56MPXv2IDs7W2VxTJ8+HadPn4ZAIIBQKAQAJCcnIyoqCl999RXMzMzg6+uL9u3bY+PGjXB0dPxiiSZ18OV6G3KUn5+PyMhILFq0qNj2Pn36SDJ8adq2bYu8vDy0aNECS5Ysgbu7e4nH8fl88Pl8yfuMjIzKB66lRCIRNm7cCCcnJ6m/SYmTmbu7OxITE2FsbKzgKKumA3fioavDkbkjB9fUEjV7TMLHE2uQGXUBNVxHfnGMrg4H+2/HY5mcV1IuC6tGLNu0adNgZGQkqcpThc6dO2Pq1KnIy8tDtWqF4wuvX7+Ofv36oUWLFsjPz4eFhQX69OkDKysrlcVZHoUmsY8fP6KgoOCLXi21a9fGu3fvSjzHysoKgYGBcHJyAp/Px759+9CzZ0+EhISU+E1y9erVWL58uULi1zZXr17Fs2fP8Oeff8p8LofDYZ07FCj4SbLMCUzMsFF7gKMDfsLDEvcXiAjBT5OxDMpLYuJqxDNnzrBqxBLY2tpiyZIlKo2Bx+Ohbdu2WLZsGfh8PoKDg9G4cWOsX78eHA4Hbdu2Rdu2bVUaozSU0rHj82/9RFRqScDe3h5TpkxBu3bt4OLigq1bt2LgwIGlrsmzePFipKenS14JCQlyj19bbN26FS1btoSrq6uqQ2GKyOILES/DAOXP6egbQMeoOgqyUks9Jj4lB9l8YYXvIQtWjSidnJwcLF68GP/995/KYpgzZw5u3LiB5s2b4/Llyzh16pTG9T9QaEnMwsICurq6X5S6kpOTZRpz0KlTJ+zfv7/EfTweDzwer1JxVoQ4EfP5fJXcX1YpKSk4c+YMNm/erFaNsgwQl5L9xUwcMivnAgTgdUo2HKxNK3unsu/DqhGlZmBggH/++Qdv3rzBvn37VBKDq6srbt++rZJ7y4tCS2L6+vpwcnLCpUuXim2/dOmSTNOYREVFqWWdbFhYGL777ju0bt0ao0ePxo4dO5CcnKzqsEpkbm6Ox48fY8yYMaoOhflMvlBUqfNF+XkQ5WZA18RMofeRxp49e1hvRCnp6Ohg+vTp+Oeff/Dhwwepz/v06RP++uuvCjULaCOFVyfOnz8fO3fuxK5du/D48WPMmzcP8fHx8PHxAVBYHfjNN99Ijt+0aRNOnDiBZ8+eISYmBosXL8axY8cwa9YsRYcqk71792LatGmoV68ezp8/j4EDByI0NBRbtmzBjRs34OHhgV27duHVq1eqDhVCoRAFBQVo3LgxTExMVB0O8xl9buX+DHNfhAMkAs+mpULvU543b95g7ty5rBpRBhMmTACHw8GuXbvKPE6cuDw8PGBpaYlx48bBz88PIpHiv5ioO4VWJwLA8OHDkZKSghUrViApKQmOjo44d+4cbG1tAQBJSUnFxozl5+djwYIFePv2LQwNDeHg4ICzZ89iwIABig5VaikpKdi5cycmTZqE7777DgAwatQofPXVV3j9+jVOnTqFyMhI2Nvb448//kB2djZGjBgBX19flcR7/PhxyXQy7Nux+mlgbgwOyq0RLJEwPRlpwbvA4RmjWtv+pR7H+f/7KErRasSNGzcq7D7axtzcHCNGjMD27dvx/fffQ0fnf180Pn36hFOnTuHIkSP4999/IRAIJPtatGiBoUOHgs/nw9DQUBWhqw2FJzEAmDFjBmbMmFHivs+noVm4cKFkQJ26iomJgUAgkEzZVFBQACKCkZERWrRogdmzZ2Pnzp2SxBsfH4/09HQAhd3ci/6iKsPRo0dRq1YtlsDUlDGPCxszI8SV07lD8CEOEBWARAUQ5aQjLyEGWQ8ug8PRgeXgH6FrVHp7l425EYx5ivtzF1cjnjlzBjVr1lTYfbTRkiVL4OPjAw6HI1XiGjp0KBwclNfTVN0pJYlpm5ycHLx79w5NmjQBAMlAbJFIhPT0dMTExODgwYPgcrno0KEDbGwKZxMnIqUnsPz8fFy4cEHtvxhUde72lth3J67MbvYp5zYV/o8uFzo8E+iZ14NppyEwad23zASmq8OBu52lnCP+H1aNWDkWFha4efMmVq1axRJXBbAkVkGGhobIysqCsbExCgoKoKurCx0dHTx48AAikQguLi7Yvn07Fi9ejI4dO2Lr1q0q6RUYGhqKzMxMeHp6Kv3ejPRGO9tgz63XJe4zadULJq16VfjaBSLCmE6lL8tSGawasWJYiUt+WBKrgC5duqBr167YsmULFi9eDC6XC4FAAC6Xi+DgYLi5uRWrQn3z5g04HE6Z4+MUJTg4GDY2NmjZsuxGf0a1mtauBrcmFrj5MqXCg55LoqvDQedG5mhiWbEVn8vDqhGlV1biqlevHt68eYOLFy+id+/eKoxS87D1xCqgWrVqkpmoHR0dMWTIEMybNw+PHz/GnTt3MGTIkGLH16tXD4BqJs1ctWoVbt++zcaGaQB/75bg6sj334mrw4G/t2K+wLBqxPKV1KvwzJkzEAgEaNGiBfz8/PDw4UM8fPgQXC4XT58+VXXIGoetJ1ZJKSkpCAkJQVpaGrp164YOHTrAyckJI0eOhIuLi0qrA1TRiYSpHEWtJyZvRVdqfvjwISuFfebYsWPYs2ePTFWFvXv3ho6ODv79919lh6t2ZHmOs+rESjI3Ny9W8nrx4gWuX7+Oq1evYu/evcjJyUFYWBiMjIyUHpu/vz+uXr2KK1eusJKYhhjRwQYfs/hYd7Hy38i/72OvkAQGsGrE8pw/fx5nzpwBIH0bl6enJ7777jtkZGSwBX1lwEpiSoinsnHk5eXBz88P3bp1g6urq9TX69ChAxo2bIh//vmnUvdnlO9QeDz8TsVAKCKZ2sh0dTjg6nCwwtNBYQmMrdRcvps3b+LixYsydc5ISkpCeHg4+vbtqxFT2SmSLM9xlsQ0QEhIiGQpGh0dHTg5OaF79+7o3r17qUktMTERdevWxb59+9hUUxoqITUHvkEPEPb8Y7nLtIj3uzWxgL93S9Q3U0zJn1UjMsrAqhO1TM2aNTF58mSEhITg+fPnCA8PR3h4OH799ddSk9qZM2egq6urVjOdMLKpb2aEfZOc8ex9Jg7ciUfw02TEp+QUm9mDg8KBzO52lhjTyUZhvRDFWDWiYt29excbNmzAnj17wOWyx7M0WElMw7x58wahoaEICQmRJLWixEktPT0d+vr6uHHjhlb+HKqqbL4QF25EYtSYb/D3/r/Qr4uTQmfiKIpVIypeeHg4OnbsiNDQUKWvxK1OWHWiFiexz0mb1MqrfmQ0x927d+Hk5ITIyEi0a9dOKfdk1YjKIRKJYGVlhcmTJ2PVqlWqDkdlWHViFVKvXj2MHj0ao0ePBlByUpOm+pFhysKqEZVDR0cHzs7OiIiIUHUoGoMNItIy9erVg66uLuLi4hAbG4uEhATs378fkydPRpMmTSASiSQJbeDAgahZsyY6duyIhQsX4sKFC6oOn1FDbFCzcolL2VpWSaYwrCSmhcLCwvDmzRvo6urKVFK7evUq+vXrp+LoGXUimRuxhjl8Fv2MqPg06HN10MDcWGltcVWNt7c36tWrh4KCAta5QwrsJ6SFIiMj4eTkVOK+spKavb29MsNk1Nyz95n4cc8F3LcdDL021hix955kHweAjZkR3O0tMdrZBk1rK7ZXZFXSqlUrtGrVStVhaAyWxLSMQCBAdHQ0RowYIdXxnyc1hik6Po1EPOjVtP7iGAIQl5qDfXfisOfWa4WPT6tqTp8+zYbISIm1iWmZR48egc/nl1oSY5iyHAqPR6+Nobj5MgUAwNHRLfN48QDsmy9T0GtjKA6Fx5d5PCOdP/74A5s2bVJ1GBqBJTEt07BhQ5w4cUJpXa8Z7REQ/AyLjj8AXyiSeTmYAhGBLxRh0fEHCAh+pqAIqw7WuUN6rDpRy1SvXh1eXl6qDoPRMIfC40uddDjr/uX/rSr9meodvVGzx6Ri29ZdfIpaJjyFzd1YFTg5OSE1NRVxcXFo0KCBqsNRayyJaZnly5fDxcUFffr0UXUojIZISM2B36mYco8zHzAXeub1im3TNTEr8dilp2LQubEFayOrIHFzQGRkJEti5WDViVpEIBBg9erVePTokapDYTSIb9ADCKWoPtSrZQte3WbFXlxTyxKPFYoIvkHyWxetqrGyssI333zDBpZLgZXEtAjr1MHI6tn7TIQ9/yj36xaICGHPP+J5cqbCJyXWVnv37lV1CBqBlcS0iLgExsaYMNI6cCceujpSLphKIpCooNirLLo6HOy/zXorVlRqaioiIyNVHYbaYyUxLZKYmAgTExOYmpqqOhRGQwQ/SZa6J+K7v777YpvNwpOldsMvEBGCnyZjGaRbFJIp7vDhw5gzZw74fD50dFh5ozQsiWmRtm3bYuHChaoOg9EQWXwh4lNzpD7efNB86JnXL7atvHFk8Sk5yOYL2RRVFWBlZQWhUIiPHz/C0rLktkeGJTGt0qNHD/To0UPVYTAaIi4lG7KMQtIzrw+eVVOZ7kEAXqdkw8Ga1Q7Iytq6cKaUxMRElsTKwMqoWuTmzZt48eKFqsNgNES+UKRV99E2VlZWAICkpCQVR6LeWBLTIhMmTMDWrVtVHQajIT6lyL9XYkn0uewxUxF16tRB9erVkZmZqepQ1BqrTtQiSUlJkm9vDFMWIsLanxaAHKeAw5Gyd2IFcAA0MDdW2PW1mZ6eHtLT01UdhtpjX5G0RFZWFjIzMyX16AxTlj179uDfs6dQy1BxCQwAbMyNWKcORqHYb5eWENebs5IYU56iKzU3aNsA++7EldnN3qRVL5i06iXzfXR1OHC3Yx0SKmPGjBnIzc3F7t27VR2K2mIlMS2RnZ2NRo0aoW7duqoOhVFjRISpU6fCxMQEGzduxGhnG5lnrJdWgYgwphObBLgy+Hw+Hj9+rOow1BoriWmJNm3asJ6JTLn27NmD8+fP48yZM6hZsyZqAnBrYoGbL1Pkmsx0dTjo3MicTTlVSVZWVrh06ZKqw1BrrCTGMFVE0WrEgQMHSrb7e7cEV9qpp6TE1eHA37ulXK9ZFVlZWSEpKQkiERumUBqWxLTE0qVL0bFjR1WHwaipz6sRi6pvZoTlnvKdGmqFpwNbhkUOLC0tIRQKWS/FMrDqRC2Rm5vLftGZUn1ejfi5ER1s8DGLX+rCmLL4vo89WxBTTrp3747g4GCYmJioOhS1pZSS2NatW9GwYUMYGBjAyckJYWFhZR4fGhoKJycnGBgYoFGjRti+fbtc42nQoAGaNWuGNm3aoHnz5hg1ahSys7MBACEhITAyMkLbtm3h4OAABwcHzJ8/H2lpaVJdu3v37mjUqBHatGkjeV2+fLnEfZ6ennL7TEKhEFwu+07CfKm0asTPzXJvijWDW4LH1ZF+Zvv/p6vDAY+rg7WDW2Kme5PKhsz8v1q1aqF79+7Q09OT2zW17fmn8CR2+PBhzJ07Fz/++COioqLg5uaG/v37Iz6+5CUaXr16hQEDBsDNzQ1RUVHw9fXFnDlzcOzYMbnGdfToUURHR+PRo0fIyMjAnj17JPtatGiBqKgoxMTE4Pbt28jJyUHPnj1RUFD20hNimzdvRnR0tOTVq1evEvedOnVKbp+HJTGmJGVVI5ZkRAcbXJ7XDZ0bmQNAuclMvL9zI3NcnteNlcDk7Pnz51i8eLHUSURa2vT8U/hTb8OGDZg0aRImT54MANi0aRP+/fdfbNu2DatXr/7i+O3bt8PGxgabNm0CADRv3hwRERFYt24dhgwZIvf4+Hw+srOzS11BtVq1atiyZQuaNGmCCxculPlNVl6ICDk50s8uDgA5OTngcDiSb1TSMjIyUuiMDYxqlVeNWJL6ZkbYN8kZz95n4sCdeAQ/TUZ8Sk6xyYI5KBzI7G5niTGdbFgvRClU5O/6yZMnWLNmDUaPHg19fX2ZzpXmb1sdn38yIwXi8/mkq6tLx48fL7Z9zpw51LVr1xLPcXNzozlz5hTbdvz4ceJyuZSfn//F8Xl5eZSeni55JSQkEABKT08vNS5bW1uyt7en1q1bU/Xq1cnd3Z0EAgEREQUHB5OTk9MX53h6etLatWvL/czdunWjhg0bUuvWrSWvV69elbgvICCgxGtkZWURCicAV/grKyur3M/EqJfIyEgCQJGRkWUel5CQQNWrV6dx48ZV+p5ZeQI6euU26VvZ0dErtykrT1Dpa1Y1yvy7LutvW92ff0RE6enp5T7HxRRaEvv48SMKCgpQu3btYttr166Nd+/elXjOu3fvSjxevK7O5zNSrF69GsuXL5c5tqNHj8LR0RFCoRDTpk3DDz/8gPXr15d6PJH0Y2g2b96MQYMGybyPYeSFZKxGLI8xj4uGNfSQn/QUDWvosamkNJw2Pf+U0rHj8yItEZVZzC3p+JK2A8DixYuRnp4ueSUkJMgUG5fLxZAhQ3DhwoVSjxEIBIiOjoajo6NM164oIyMjZGVlyfTas2cPVq1aJfN5RkasG7Q2ElcjBgYGSl2NyChWRf6uxc+lqKgohfxtq+PzT1YK/TplYWEBXV3dL0pdycnJX5S2xOrUqVPi8VwuF+bm5l8cz+PxwOPxKhXn1atXYW9vX+K+rKwsLFiwABYWFujbty+AwsRZt25dzJo1q1L3LQ2Hw4GxsWwzf9++fRvh4eHw9fVVSEyMesjmC/HqkwD6VnZ49UkA+xJWTZa2NyKjXBX5u7a1tcXEiRNhbW0t87nSUrfnn6wUmsT09fXh5OSES5cuwdvbW7L90qVL8PLyKvEcFxcXnD59uti2ixcvon379nLtZvr111/DwMAAAoEADRo0KNaN/9GjR2jTpg0EAgGICH379sWVK1egq1u4FPv9+/fh5ORU6rXnzJmDJUuWSN4vXrwYw4cPl1vsJeFyuRAIBAq9B6Makg4WT5IRn1rYwcJq3AZ8d+kjFlz6FzZmRnC3t8RoZxs0sTSRazUio1rNmjXDn3/+KffratPzT+EV2/Pnz8fYsWPRvn17uLi4IDAwEPHx8fDx8QFQ+AHfvn2Lv/76CwDg4+ODgIAAzJ8/H1OmTMGtW7fw559/4uDBg3KL6fXr16Xu6969e5k9iEQiET5+/IjBgweXuD8kJKTUc8vaV1lcLhdCoVBh12eULyE1B75BDxD2/CN0dTglzm1IAOJSc7DvThz23HqNRkZ8hN28ixMH/mTViFogIyMDb968gZ2dndyG0Gjb80/hSWz48OFISUnBihUrkJSUBEdHR5w7dw62trYACpcQKTpmrGHDhjh37hzmzZuH33//HdbW1ti8ebNCutdXhI6ODu7cuaPqML6gp6fHkpgWORQeD79TMRD+f+Iqb3Je8f4XWVzU99mBTEs2b6E2CA4OxldffYXk5GTUqlVL1eGo5fNPKV2MZsyYgRkzZpS4r+ggO7Fu3brh7t27Co5Ku7i5uaF69eqqDoORg4DgZxWe/omjowsRgEXHH+BjFh+z3JvKNzhGqfh8PgDItSlF27B+slrCw8MDHh4eqg6DqaRD4fFymb8QANZdfIpaJjw2i4YGS05Ohp6eHkxNTVUditpiSUxLZGZm4t69e+jQoUOle2syqpGQmgO/UzEl7su6fxkp5zYV26ZjWB16Fjao7jwYRk1KXsFg6akYdG5swWaU11BJSUmwsrJis+qUgS3FoiWio6Ph5uaGly9fqjoUpoJ8gx5I2sBKYz5gLuqMXYc6Y3+Feb9Z4Ojo4MPRFch5VnI7hVBE8A16oIhwGSXIzMxEvXr1VB2GWmNJTEuIZzJJSkpScSRMRTx7n4mw5x/L7cChV8sWvLrNwKvbHEb2nVHraz9AVw/Zj6+VeHyBiBD2/COeJ2cqImxGwTZv3ozr16+rOgy1xpKYlhAnscTERBVHwlTEgTvxMi9/AgAcrj44ulxwdHRLPUZXh4P9t0teNYJRf6wqsWwsiWkJY2NjVK9enZXENFTwk+RyS2EAABKBRAWgAiGEGR+RdjkQJODDuEW3Uk8pEBGCnybLMVpGWTp27Ii9e/eqOgy1xjp2aJEWLVpIveYPoz6y+ELEp0q3RMe7v74rvkFXD2a9fWDYqPQZFAAgPiUH2SVMUcWor/z8fISHh7O/6XKw32gtcuvWLVWHwFRAXEo2pJ0j3HzQfOiZ1wcAiHIzkPP0FlIvbgNRAao7lT7EggC8TsmGgzXrqq0pxHPIWltbqzgS9caSGMOoWL5QJPWxeub1wbP63wBmw0ZOEKYn41PwHpg4uEPHwEQu92FUT9w08PnyU0xxrE1Mi/zyyy9o3769qsNgZKTPrdyfob5lA5CQD0HqW4Xeh1EucSctVhIrG/ut1iJcLhexsbEyLWDHqF4Dc2NUpv9Z/vtXAAAdo9KrCjn/fx9Gc3Tu3BmnTp0qcQkq5n9YdaIWqVu3LrKzs/Hp0yc2g7kGMeZxYWNmhDgpOncIPsQBosKG/oLcTOQ8vYm811EwtHOBXo06pZ5nY27EOnVomNq1a7Op5KTAfqu1iIODA4DC9X66dSu9yzWjftztLbHvTly53eyLTj3F4RmDa1obNXtMRrV2pS9+qavDgbudpbxCZZRk06ZNaNy4MUtk5WBJTIs0a9YMhoaGiIyMZElMw4x2tsGeW69L3W/SqhdMWvWq0LULRIQxndgkwJqEiLBmzRpMnjyZJbFysCSmRbhcLq5duwY7OztVh8LIqGntanBrYoGbL1OkG/QsJV0dDjo3MkcTy2pyuyajeImJiXj//n2ZKygzhVjHDi3Tvn17tq6YhvL3bgluBaaeKgtXhwN/b7ZApqaJjIwEANbbWAosiWmZ+/fvw9vbG5mZbMJXTVPfzAjzu8p3xvIVng5sGRYNFBkZiVq1arEZ7KXAkpiW0dHRwYkTJxAVFaXqUBgZJSUlYdOcYSiIOiGX66WF7sWLS/vlci1GuTp06IBFixaxyX+lwNrEtIy4c0dERAS6du2q6nAYKSUlJaFHjx7IzMxE8JaFiPzEg9+pGAhFJFMbma4OB1wdDlZ4OuCJoSN+/PFHAICvr6+iQmcUYNCgQaoOQWOwJKZluFwu2rRpI6lTZ9RfsQQWHIymTZuiKYAujS3gG/QAYc8/QleHU2YyE+/v3Mgc/t4tC6sQOywFAJbIVCg7Oxs9e/aEm5sbunfvDldXV5ialj1/ZWpqKkJDQ9G7d2+YmJQ+jRhTiCUxLeTk5IRLly6pOgxGCiUlMLH6ZkbYN8kZz95n4sCdeAQ/TUZ8Sk6xyYI5KBzI7G5niTGdbL7ohbh0KUtkqnTz5k3cuXMHd+7cwbp166CjowMnJyd0795dktQ+74h1/fp1DB48GHFxcSyJSYElMS00duxYdOrUSdVhMOUoK4EV1bR2NSzzdMAyOCCbL8TrlGzkC0XQ5+qggblxuTNxsESmOm3btsW+ffsQEhKCkJAQvHjxAuHh4QgPD8evv/5aYlITd+qoX7++qsPXDKRl0tPTCQClp6erOhSGKVViYiI1a9aM6tatS0+fPlXKPZcvX04AaNWqVRU6PzIykgBQZGSknCOrOuLj42nfvn00adIkaty4MaFwlRzJS0dHh0xNTalhw4Z09uzZKvsck+U5zkpiWur48ePQ19dnDcRqSNoSmLyxEpnq1a9fH2PGjMGYMWMAAAkJCQgNDS1WUktPT0d6ejoGDhwoVfVjVcch0q4pzzMyMmBqaor09PQq/Y/91VdfISUlBWFhYaoOhSlCVQmsqBUrVsDPzw+rVq2SKZHdvXsXTk5OiIyMRLt27RQYYdUVHR2NsWPHomHDhnj06BFevHhRbH9VSWqyPMdZSUxLeXp6YsqUKfjw4QNq1aql6nAYqEcCAypWIsvmC/HqkwD6VnZ49UkAe76QzYqvAG3atMGDBw8k70sqqZXUptarVy+sWrWqSo4rYyUxLfX+/XtYWVlh9+7dGDdunKrDqfLUJYEVVV6JTNIr8kky4lNL6BVpZgR3e0uMdrZB09psbkZ5uHnzJjp06AA9Pb0S95eU1ACgU6dOuHXrVqXvT0TgcDjg8/ng8XiVvl5FyfIcZ0lMi7m4uMDa2hrHjh2T6vhPnz7h1KlTuH37NrZu3arg6KoOdUxgYiUlsoTUHJnHp7k1sfjf+DSmQl68eIEmTZrg2LFjGDx4sFTnvHnzBqGhoTA0NJT6nLIQEa5fv47Dhw8jLCwMjo6O6Nq1K7y9vWFpqbzlfFh1IgMAmDdvXrlzKIoT15EjR3Dx4kXk5+cDAGbOnClZn4ypOHVOYMCXVYuNeo+RzBQCoNzZQsT7b75MQa+NoVju6YARHdiyLxVx+vRp6Ovro0+fPlKfU69ePYwePVpuMezduxe//PILvvnmG5w/fx4hISE4c+YM3rx5g379+mHNmjXw9vaGu7s7GjZsKLf7VgZLYlps2LBhJW4vLXEBQIsWLTB06FC2MrQcqHsCExMnsrVn7qFmZusKXaPg/6fHWnT8AT5m8THLXT0/qzo7deoUevbsqbIBzikpKdi5cycmTZqE7777DgAwatQofPXVV3j9+jVOnTqFyMhI2Nvb448//kB2djZGjBih8l6uLIlpuZs3b+Lt27fo3bt3uYlr6NChrPQlJ5qSwMTs+o9HzdwH5R8ohXUXn6KWCQ/DWYlMamlpabh27RoCAgJUFkNMTAwEAgG8vLwAAAUFBSAiGBkZoUWLFpg9ezZ27tyJAQMGAADi4+ORnp4OABCJRNDRUc188iyJabH09HQsX74c165dg0gkYolLSTQtgSWk5sDvVEyJ+7LuX0bKuU2lnlt7pD8MbFt9sX3pqRh0bmzB2sik9ObNGzg6Oqp0XGdOTg7evXuHJk2aAAB0dXUBFCao9PR0xMTE4ODBg+ByuejQoQNsbAq/pBCRyhIYwJKY1klPT8epU6fwzz//sBKXCmhaAgMA36AHkjaw0pgPmAs98y/XttKzKLm0JRQRfIMeYN8kZ7nEqO1atmyJ6OhoVYcBQ0NDZGVlwdjYGAUFBdDV1YWOjg4ePHgAkUgEFxcXbN++HYsXL0bHjh2xdetWlXfrZ0lMC5SVuJo3b46XL19i0qRJ+P3331UYpfbTxAT27H0mwp5/LPc4vVq24FlJ/3kKRISw5x/xPDnzi0mJmeLy8/Px9OlTODg4qDQhdOnSBV27dsWWLVuwePFicLlcCAQCcLlcBAcHw83NDTNmzMCMGTMAFJYeORyOpFu+qrBFMTVUeno69u3bBw8PD1haWuKbb77BmTNnkJ+fjxYtWsDPzw8PHz7Eo0ePMHjwYLmMIWFKp4kJDAAO3ImHro5iHkC6Ohzsvx2vkGtrk2vXrqFly5a4f/++SuOoVq0aZs6ciStXrsDR0RFDhgzBvHnz8PjxY9y5cwdDhgwpdrx41WlWEmNkEhoainXr1slUVTh+/Hjcvn1bUj3AyJemJjAACH6SLN2imyQCiQq+2MzRKf33qUBECH6ajGVgVddl2b17N5o0aYJWrb5sW1S21q1b4/Lly0hJSUFISAjS0tKgp6eHmzdvgs/nIycnBy4uLmrVHMGSmIZ59+4dzpw5A0D6Nq4+ffrINPaEkZ4mJ7AsvhDxqTlSHfvur+++3MjRge0Pp8o8Lz4lB9lsiqpSJScn48iRI1izZo3KSzRFmZubFyt5vXjxAtevX8fVq1exd+9e5OTkICwsDEZGqu+4o9DfrLS0NMyZMwenThX+ont6emLLli2oUaNGqeeMHz8ee/fuLbbN2dkZt2/fVmSoGmPgwIHw8/OTuXPGx48f8dtvv2HBggXlrizLSEeTExgAxKVkQ9rpeswHzYee+WfrW0nx0CUAr1Oy4WDNfudK8ueff0JXVxfjx49XdShlMjc3h5eXl6T7fUZGhlokMEDBSWzUqFF48+YNLly4AACYOnUqxo4di9OnT5d5Xr9+/bB7927Je319fUWGqVBEhEuXLsHU1BTOzs6VbgQ1MTHBsmXLZD5PIBBgzZo1sLS0xOzZsyt8f6aQpicwAMgXiqQ+Vs+8vkwdOyp6n6qGy+VixowZMDMzU3UoMlGnKf0UlsQeP36MCxcu4Pbt23B2Luxm+8cff8DFxQVPnjyBvb19qefyeDzUqVNHUaEpRVBQEM6cOYPIyEg0atQICxYsAKC6RlArKysMHjwYW7duxaxZs9Sq6kLTaEMCAwB9rnL6dSnrPpro+++/V3UIGk9hv123bt2SlD7EOnXqBFNTU9y8ebPMc0NCQmBpaQk7OztMmTIFycnJpR7L5/ORkZFR7KVqAQEBGDVqFDp16oTQ0FAcP34cnTt3VnVYmDFjBmJjYxESEqLqUDSWtiQwAGhgbgxFf5Xh/P99mC8dOnQIHz58UHUYGk9hSezdu3clznpsaWmJd+/elXpe//79ceDAAVy9ehXr169HeHg4evToAT6fX+Lxq1evhqmpqeRVv379Eo9TBCLC6dOnMXz4cHh4eGDFihWIjY1F8+bNMXToUAwfPhympqZ4+PAhAgMD8fDhQ6XFVpKuXbuiRYsWbIb6CtKmBAYAxjwubKScUUPwIQ78t7FfvApy0ss8z8bcSKs7deTm5uLt27cyn/fixQuMHDkSZ8+eVUBUVYvMv13Lli3D8uXLyzwmPDwcQMlVZ+W1CQ0fPlzy/46Ojmjfvj1sbW1x9uzZEpcaWLx4MebPny95n5GRoZREtnXrVqxduxbt27eHh4cHnJycsGjRIkRERKBbt26wtbVFv379UK1aNaSkpGDgwIGoXbu2wuMqC4fDwaZNm1CtGht8KittS2Bi7vaW2Hcnrtxu9qVNPWXWfzaqte5b4j5dHQ7c7ZS3fIcq7NixAz/88AOmTp2KRYsWoW7dulKdt337dtSsWbPY846pGJmT2KxZszBixIgyj2nQoAHu37+P9+/ff7Hvw4cPMj3MraysYGtri2fPnpW4n8fjqWTxNnt7e7Ru3brYWl0HDx7Eb7/9hqNHj2LKlClISUnB5s2b0b59e6XHV5revXurOgSNo60JDABGO9tgz63Xpe43adULJq16VejaBSLCmE7aPQnwzZs3kZ+fj4CAAAQGBkqVzHJzc7Fr1y5MnDgRhoaGSoxWO8lcnWhhYYFmzZqV+TIwMICLiwvS09Px33//Sc69c+cO0tPTZWofSklJQUJCAqysrGQNVaFcXV0RGxuL169fo6CgcBBo9erV0bNnT2RnZyMjIwOurq6lrtCqyrVIb968iUGDBkEgEKgsBk2hzQkMAJrWrga3JhZyn7VDV4cDtyYWWj/l1OHDh3HlyhW4ublJklmjRo0we/bsUqsZ//nnH6SmpsLHx0fJ0WonhbWJNW/eHP369cOUKVNw+/Zt3L59G1OmTMGgQYOK9Uxs1qwZgoKCAABZWVlYsGABbt26hdevXyMkJAQeHh6wsLCAt7e3okKtEB6PhzZt2iAsLKzYLBh16tSBnZ0dsrOzUadOHUknlkuXLmH69OlYuHAhANVO1WJiYoKzZ8/i5MmTKotBE2h7AhPz924JrpyTGFeHA3/vlnK9pjricDjo0aMHQkNDpU5mzZo1w4oVKySzxTOVo9C+rwcOHEDLli0lM0a0atUK+/btK3bMkydPJGvS6Orq4sGDB/Dy8oKdnR3GjRsHOzs73Lp1Sy3bcaZPn47Tp09DIBBAKBQCKByBHxUVha+++gpmZmbw9fVF+/btsXHjRjg6OqpFl9pWrVqhe/fu+PnnnyESsTE8JakqCQwA6psZYbmnfKcRWuHpUKWWYZElmTk7O+Onn35SccTag0OqrNdSgIyMDJiamiI9PV3hA/L4fD4cHR1x9+5dSZJdt24dXr16hYCAAERHR+P+/fvo06eP2lWH3rx5E126dMGBAwcwatQoVYejVqpSAisqIPgZ1l18WunrfN/HHjPdq3Ypg4gQHByMZcuWISwsDEDhpA0NGzbEL7/8Ak9PTxVHqN5keY6zJFZJw4YNQ/369cHn8xEcHIzGjRtj/fr1GvHg8/LyQnp6Ohs3VkRVTWBih8Lj4XcqBkIRSTcx8P/T1eGAq8PBCk8HtqJzESUlMz09PUybNk2m3oxVDUtiSkxi169fx4IFCzB27FgMHjxY7UpcZXn//j1MTU1hYGCg6lDUQlVPYGIJqTnwDXqAsOcfoavDKTOZife7NbGAv3fLKlWFKAs+n4+GDRuCz+cjNTUVQGHJTNau+VUFS2JKTGLa4OXLl7C0tISJiYmqQ1EZlsC+9Ox9Jg7ciUfw02TEp+QUmyyYg8KBzO52lhjTyUbreyFWlni6t+joaHz8+PGLakaWzIpjSYwlMallZGSgXr16+P7776tsYzNLYOXL5gvxOiUb+UIR9Lk6aGBurNUzccgTEaFdu3Zo1aqVZIWO0trMWDIrxJIYS2IymT9/Pnbu3ImXL1/CwsJC1eEoFUtgjDJkZWUhLy/vi78vlsxKJstznE0vzcDX1xcA4O/vr+JIlIslMEYaRFTupOWlSUtLw9u3b2FiYlLiF8TyuuaXN8WflpVBKoQlMQYWFhb4/vvv8fvvvyMuLk7V4cgsmy9ETGI6ouLTEJOYjmy+sNxzWAJjpBUYGIguXbpgwoQJ+PTpk0znrlq1Ck5OTqVOYC5WWjIrbwFbDocDkUhUbP3FqoZVajMAgHnz5iEhIQE6OprxvUbS6eBJMuJTS+h0YGYEd3tLjHa2QdPaxTsdsATGyCIxMREcDgd79uzBxYsX8ccff2DAgAHlnhcfH4+AgAD4+vpKPb+rOJm5u7sjJCQEnTp1KvE4kUgEHR0dhIWF4cyZM/j111+Rn5+PadOmyfTZtAFrE2M0SmW7f7MExlTEzZs3MWHCBDx9WjgYfPz48di4cSNq1KhR6jljxozBxYsX8eLFC4XMOBQfHw9PT0+MHz8ey5Ytw759++Dh4QGg/NVC1B1rE2Mq7MqVK+jbty/y8/NVHcoXDoXHo9fGUNx8mQIA5Q7GFe+/+TIFvTaGYselByyBMRXSuXNnREdHY/78+ZJSmYODA86dO1fi8adPn8aBAwfwyy+/KCSBnThxAsuWLYOLiwtGjhyJXr16FesE8vz5c/Tv3x8bNmyQ+73VDUtiTDHm5ua4evUqVq1apepQigkIfoZFxx+ALxTJNJMEUJjM+EIRVl+NR5atK0tgTIUYGhpi/fr1uH79Ouzs7JCYmIiBAweW2FbWokUL/Pjjjxg3bpzc44iOjoaPjw/S0tKwZcsW1K5dG+np6ZJVovPz83H16lXExcUhOjoa7du3x6ZNm+Qeh7pgSYwppk2bNvjxxx/h7++PqKgoVYcDoLAEJo85/QBAt+1XuPtJ+evPMdqjvFIZn89H48aN8fPPP8u9Sm/v3r1YsGABPDw8kJ+fDzc3N/j7++Pp06fo0qULgMJqxmPHjmHlypX466+/sGvXLgQHByMgIECusagLlsSYL/j6+sLBwQHjx49XebViQmoO/E7FlHtcRsQpxK0ZhMSdM8o9dumpGCSk5sgjPKaKKq1U1qtXL9jb2+Pdu3cKuS+fz8f48ePxxx9/4OzZs/jpp59w9uxZ1K9fHyKRCPn5+bh06RIEAgGGDBkCoHDVipkzZ+LQoUNITEzUum75LIkxX9DX18eePXtAREhMTFRpLL5BDyCUovow6/4lAIDgYzz4iU/KPFYoIvgGPZBLfIx2+eOPP/D8+XOpj/+8VHblyhW8e/cOkZGRColv6tSpGDNmDABAKBRiwIAB2LFjB9LT08Hj8fDu3TscP35cUo0pXvi2TZs2ePLkCTgcjkZ3+CgJS2JMidq0aYPo6Gg0aNBAZTE8e5+JsOcfy20D4yc9gyD5FQwbdwAAZN27WObxBSJC2POPeJ6cKbdYGc13/vx5TJs2DR06dMD58+elPk9cKuvTpw90dHTA5/MxaNCgCo0rkwWXWzhC6syZMzAzMwOPx8Pp06fB4XAwfvx4AJAMmTl06BA6dOhQ7ng1TcSSGFMqHR0dPHnyBBMmTFBJteKBO/HQlWLF4az7hUmrRvdx4NVtjuzH1yAS5JV5jq4OB/tvx8slTkY7tG7dGp06dcKnT58wcOBA+Pv7S131dvr0afz777/Ytm2b1D0Y5WXevHlYs2YNYmNjsXXrVvTo0UOyT1dXF5mZmbhy5QqcnJy0clo5lsSYMuXm5mL//v0q6a0Y/CS53FKYSMBH9qNr0LdqCv1aDWDcqjcoPxc5sTfKPK9ARAh+mizPcBkNZ21tjeDgYEydOhVEhB9//BFDhw5FVlZWueeamJhgypQpmDJlitQ9GOWBiMDj8eDi4oKmTZvCy8sLR44cwcyZMxEXF4cbN25g1KhRyM/Ph4eHB0xMTFBQUPDFdcQrvB86dAhOTk4a1QmEJTGmTG3atMGSJUuU3lsxiy9EvBSdL3Ke3ADxs2HSqg8AwLi5Gzj6huVWKQJAfEqOVFNUMVUHj8fDjh07sGPHDujp6eHYsWPo1KlTme1kRAR3d3cEBgZK2ptkHVdWUUXbt3R1deHv74+wsDDUrFkTQ4cOxe+//w5dXV1s374dHTt2lBz3OXG148GDB+HqWjgMxcXFBVu2bJF8RnXFkhhTrsWLF8PBwQFjx45Fdna2Uu4Zl5INaf5ssu5dBIfLg3HzrgAAHX1DGNl3Af9NDASpb8s8lwC8TlHO52E0y9SpUxEaGgorKyvExMSU2k529OhR9O3bt8TSmizjyuRFJBLByMgIP//8M8LCwrB9+3acOHECtra2ePr0KQIDAyXjycTEJbOTJ08iJycH/v7+OHbsGLZu3YpHjx7h7du3at0ZhCUxplz6+vo4cOAAUlNT8eCBcnr15QtF5R4jSEsEPyEGho3bAyCI8rIgysuCcbPC8TLiHouVvQ9TNbm4uCAiIgIuLi4ltpPdu3cP48aNQ82aNWFsbFzqdZRVKgP+V6ISiUTg8XjFZgsJCAjAf//9h7dvi3+5E5fM9u7di6dPn2LBggV4//492rZti23btqFu3bpIS0vD06dPERQUJPeYK4slMUYqDg4OePnyZakTksqbPrf8X83CJEXIeXIDCZtGSF7JRwqXr8h+eBUk+rL+X9b7MFVXae1kr169gpeXF+zt7bFr165ySyqllcpCQ0MVErc4mYnjevLkCaKjo+Hn54c2bdpIjivaFiYSiXDgwAFYWFigf//+OHz4MAAgKCgIgwcPxsyZM7Fr1y44ODhIqhnVAZsAmJEJn8/HxIkTMXjwYMlgSkXI5gvhuOzfUqsUSVSAt1sngMPlwbz/7C/2574IR8Z/Qaj19VIYNelY4jU4AB4u68tWKGakEhgYiFmzZkEgEMDIyAgGBgaIioqCjY2NTNfJzc3FkiVLEBsbizNnziitqi43NxeGhoaSGfCL8vb2hpubG+bNmwcOh4PU1FQQEd6/f48xY8ZgxIgRmDBhAmrVqoWYmBj4+fmhadOmWLJkSZml0IpiEwAzCqOvrw+BQIBvvvkG9+/fr9S1QkNDv6jaEDPmcWFjZlTqubkvI1GQlQqTNn1hYNvqi1f1Tl8DunpldvCwMTdiCayKCQoKQk5OxWZrKdpOlpOTg/z8fMTElD+bzOfEpbJTp04pta3J0NAQAL5IYEeOHEFiYiJ69OgBDoeDgoICmJmZwdzcHD///DPatGmDcePGoVatWhAKhXBwcMDBgwdhY2NTYicRZWNJjJEJh8PB7t27YWdnB09Pzy8aiaV15coV9OvXD927dy91ih53e8tSx4ll3bsI6HJh0qp3ift1jUxhZOeC3BfhKMhO+3K/DgfudpYVip3RTNu3b8fgwYPh5eVV4URWp04dSTtZVlaWzOPJilKHBAAAXl5e2LRpE+zs7AD8L8m9f/8eHz58wIABA2BpWfi3wuVyQUTQ09PDsGHDYGBgoLK4xVgSY2RmbGws6cn09ddfyzwQ+sqVKxg0aBDy8vLQrFkz1KxZs8TjRjvblDpOzHLIEth+fwK6RqWvfFvLayFsF56ErvGX1y8QEcZ0kq0aiNFsjo6OMDExweXLlyuUyIKDg2Fvb4/o6OgKjydTR/r6+nBxcYGRUWHNh7h0WLt2bfD5fGRmZoLD4UimsBLvNzc3V03An2FJjKkQGxsbHD9+HJ07d5bpG2XRBDZo0CAcPXq01FVvm9auBrcmFlLN2iELXR0O3JpYoIml/Nd5YtSXq6srzp8/X6FE9vLlSwwdOhTdunVDnz59KjSeTBM5OztLkrOenp5ajhdjSYypMFdXV6xevRq6urpSzdotSwIT8/duCa6ckxhXhwN/75ZyvSajGSqSyDIzM+Hl5YUaNWrg8OHDkjkLAenHkykSEeH169cKufbIkSOxc+dOTJ06FXFxcRCJRBVuQlAUlsSYSgsLC0PDhg1x9erVUo+pSAIDgPpmRlju6SDPcLHC0wH1y+g0wmg3WRPZihUrEBcXh1OnTsHMzOyL/eWNJ1O0DRs2oEWLFvjll1/kfu127drh5s2bsLKygqenJxYtWoS7d+/K/T6VwbrYM5UmFAoxcOBA3Lx5E5cuXfpiLFlFE1hRAcHP5LIw5vd97DHTvUmlr8NovuvXr6N///7IyspCr169cPLkSUm7UFHZ2dl4+PAhnJ2dy7wen8/HnDlzEBgYCAAYMmQI9uzZAxMTE4XEDxQugDlkyBCsX78ev//+O96/f48dO3bA3t5eLtcv2h0/NzcXCQkJaNSoUbHSqCKwLvaMUnG5XBw/fhxt2rRBv379in1Tk0cCA4BZ7k2xZnBL8Lg6MreR6epwwOPqYO3gliyBMRJllciISDKWy9jYuNwEBlRs3sXKICKMGTMGPXr0QNeuXXH48GF0794da9eulds9is4AYmhoCDs7O4UnMFmxJMbIhbGxMc6ePQt7e3vMmjULRCS3BCY2ooMNLs/rhs6NCntFlZfMxPs7NzLH5XndMLwD643IFFdSIsvOzsb8+fOxatUqhIeHy3zNou1kr169qnB3/vJs2rQJIpEIoaGhWLhwIQDgw4cPxaaaktcSSp+PLVMnrDqRkau0tDTw+XzExMTINYF97tn7TBy4E4/gp8mIT8kpNrMHB4UDmd3tLDGmkw3rhciUq2jVYoMGDfD69WsEBARg5syZFb5mYmIiHj58iD59+sgx0kIJCQno168fQkNDYWBggAkTJiA0NBSjRo1C06ZNYW5ujuPHj4PH46Fp06ZYunSp3GNQJFme4yyJMXJXtATWrVs3/Pvvv3JNYJ/L5gvxOiUb+UIR9Lk6aGBuzGbiYGR2/fp19OzZE/n5+WjatCmio6NLbCNTNSKCg4MDli1bhmHDhgEo7EE5ceJEHDx4EL169UL9+vVhbW2NYcOGYcWKFcjOzsbmzZvRokULFUcvHdYmxqhM0QRWrVo1xMTEIDY2VqH3NOZx4WBtirY2NeFgbcoSGFMhrq6uWLt2LXg8Hp49e1apmT0UKTMzE2ZmZjh06JBkaMuLFy/A4/HQo0cPJCQkYNWqVVi7di2cnJxw8uRJeHt7Y926dUhL+3L2Gk3HkhgjN5+3gcXGxsLGxgbu7u6IiIhQdXgMUyKRSIS9e/eioKAAc+fOxeXLlys1s4eiVa9eHdevX4erqyv69u2L6dOnw9/fH3fv3kVqaio2btwomZRYPMvG9OnT0bNnT7VeF6zCSMukp6cTAEpPT1d1KFXK5cuXycDAgADQoEGDKC8vj4iI0tLSyNnZmWrWrElpaWmqDZJhPiMUCmnSpEnE4XAoJCREsj0sLIxMTEwIAPXq1Yuys7NVGGXpYmNjydfXl06ePEm3b98mT09PunHjRonHfvr0ScnRVZwsz3GFJrGff/6ZXFxcyNDQkExNTaU6RyQSkZ+fH1lZWZGBgQF169aNHj58KPU9WRJTvtISmFhGRgadOXNGRdExTMmys7Np2LBhpKOjQ/v27ftiv6YkMrHMzEzq0aMHPXjwgIiI8vPziajwmappZHmOK7Q6MT8/H0OHDsX06dOlPueXX37Bhg0bEBAQgPDwcNSpUwe9e/dGZmamAiNlKkqabvTVqlXDwIEDAQA//vgjfv31V7Wcg42pOtLT09G1a1ecOXMGR44cwZgxY744prRxZOr6u2tiYgI3NzcsWLAASUlJ0NPTAwDtrEIsSuEplYh2794tVUlMJBJRnTp1aM2aNZJteXl5ZGpqStu3b5fqXqwkpjzllcA+JxKJyNfXlwDQmDFjKDc3V0mRMkxxIpGIFixYQFFRUeUeW1qJ7ObNm/T777/TpEmTFBqnrPz9/ally5a0du1aunTpEqWmpiogMsVSm+pEMWmT2IsXLwgA3b17t9h2T09P+uabb0o8Jy8vj9LT0yWvhIQElsSUQNYEVtTff/9NBgYG1LFjR3r79q0Co2SY4nbv3k0nTpyQ+byiiczFxYU8PDxozJgx5ObmRtWqVaOnT58qINr/CQ4OplGjRpGXlxcJhcJyj4+NjSU/Pz+6evUqq05UJnF30dq1axfbXrt27VJnSV+9ejVMTU0lr/r16ys8zqqusjNxjBw5EtevX8fbt2+xatUqBUbKMIWEQiHmz5+PCRMmICQkRObz27Rpg19//RW6urq4desWIiIisHjxYvB4PEyZMgVNmzaVe8wikQjp6ekYNWoU9u/fj+fPn+Phw4dITU0t91x7e3ssW7YM7u7uWl+dKHMSW7ZsGTgcTpmvynan/vyHTkSl/kMsXrwY6enpkldCQkKl7s2UjYiwatWqSs/E4eTkhIiICPz6668ACmc3YBhFSEtLw8CBA7F582Zs2bIFGzZskOn8ly9fYuDAgdi5cyfq1KkjWXro8ePHMDc3x9ixYyXHkhzby1auXImFCxciLS0NS5cuhbW1NSZPnoxatWrJ7R7aQOZRobNmzcKIESPKPKZBgwYVCqZOnToACktkVlZWku3JyclflM7EeDyeQmeDYIrjcDgICgrCmjVrsGzZskr97MX/3m/fvkXz5s0xbdo0rFmzRm2WbWe0w4QJExAREYF///0XPXv2lPn8Ro0aYenSpWjUqBEaNmyINm3awNbWFq9evcLHjx/RpEnhpNJCoRChoaG4fv06/Pz8KhxvUFAQTpw4gb///huurq64evUqOBwOuFyuZIWI1NRUJCYmgojQsmUVXxtPwVWbRCR7x461a9dKtvH5fNaxQ8kiIiKUej+RSESbNm0iHR0d6tevHxtPVgUUFBTQ4cOHaf/+/Qq7h7id9vnz5/T8+fMKXaOk9iQ+n0+urq5kaGgoGZPF5/MpLCyMevbsScbGxjRz5swK3S8zM5PGjRtHS5YsoaSkJPLy8qLRo0fTiRMnqFWrVlRQUECLFy+mfv36UdOmTWnQoEHk6elJOTk5FbqfulKbjh1xcXEUFRVFy5cvJxMTE4qKiqKoqCjKzMyUHGNvb0/Hjx+XvF+zZg2ZmprS8ePH6cGDBzRy5EiysrKijIwMqe7JkljlTJs2jcaPH09Eyh9f8u+//1KNGjXI1taWbt++rdR7M8p16NAhAkCWlpZyH3+VnZ1N3377LTk6OhZ71siDODEeO3aM+vfvT2lpaSQQCOjatWvUpUsX+vXXX4mIaOTIkaV2RiuPSCSirKwsyfvZs2cTh8OhwMBA2rhxI1laWtLFixcpISGBiIi+//57cnFxodjY2Ep+OvWhNkls3LhxBOCLV3Bw8P8CAGj37t2S9+LBznXq1CEej0ddu3aVDN6TBktiFefj40PDhw+XvE9JSVF6DC9fvqSBAwdW+Jszoxny8/OpYcOGBIDWr18vt+teu3aNGjduTAYGBrRhwwYqKCiQ27XF0tLSqF69erRlyxbJPbt160YmJib0xx9/SI7r27cvhYeHV/g+4sHKREReXl40Z84csrCwKHHigM2bN5O/v3+xczSZ2iQxVWBJrGLmz59PHTp0IIFAQEREW7dupTVr1kjeq4J4BoLLly+rLAZGcf7880+5lsZWrFhBHA6HOnfuTE+ePJFDhKXbsWMHvXz5ksLCwqhHjx7k5+dHKSkp5OrqSj/++CNduXKFeDzeF8OFKuL06dNkampK+/fvpylTphT7WYm72yckJNCpU6cqfS91obFd7BnV0dfXh6WlJZ49e4YNGzZg165dGDVqlEpXcc3MzAQRoVevXpg+fTqbtUXLjB07Fg0bNkRycjK2b99e4esUFBQAAFq3bo1169bh2rVrsLOzk1eYxdD/9z6cOnUqBAIBJk6ciI4dO2LZsmUwMzPDvn37cOjQIezYsQP+/v5o27Ztpe/ZqlUrrF69Gnl5eXj06BGMjIwkcYg7QdWrVw99+/at9L00kqIzqrKxkljFLVmyhJycnKh58+aSwZvSDKxUpIKCAvr999/J2NiYbG1ti03Symi+ypTGsrKyaM6cOeTt7a2yAb1Dhw6VtCETFXYiadWqlUIG8T98+JAGDhwoqeYXf2ZFVJmqGiuJMVI5d+4c9u/fj40bNyI9PR0rV67EuHHjUKdOHaSlpSE7O1vl3d11dHQwY8YM3L9/H40aNQKfz1dpPExxsbGxWLlypVQDcEtS0dJYWFgYWrdujcDAQLi5uSl9PkPx/f755x8YGhri66+/xq1bt+Dr6wtnZ+dShwRVhoODA1q1aoVevXrhzp07ku06OlX8Ma7wlKpkrCQmnQkTJtCAAQPom2++ITs7O+rduzcdOXKEiIiWLVtGAwYMoH///Vet5jcUf/MUiUQ0adIkOnv2rEZOqaNNWrZsSQBo165dFb6GrKWxRYsWKa3tqyxFf/e+/fZb8vDwoGnTptGVK1cUet8jR45Qx44dacOGDVrbi5d17GBJrEyzZs2iIUOGFNs2d+5c8vDwoLCwMCIiWrx4MTk7O8vUM1RZPn36RO7u7gSAunfvrrV/yJpgxYoVBID69+9f4WtI01MxJydHkuBWrVpFGzZsUHlVN1HxqjzxM0ckEil82ZbExER6/fq11n6JY0mMJbFSzZ07l2xtbSXvxeNRMjMz6euvvy6W3I4ePars8KQmEono1KlT5ODgQABo4sSJqg6pSnr8+DEBIC6XW6nZ0ksrjQkEAtq5cyfVq1ePli5dKo+Q5a5oIsnNzaWtW7fS/PnzKTExUYVRaTbWJsaUSCgUok2bNqhduzb+/vtvAICxsTEEAgFMTEywcOFC3L17F2/evAEADBkyBIB854OTFw6HAw8PD9y7dw979+6VTMeTlpYmiZ9RvGbNmqFly5YQCoU4ceJEha/zedsYEeH48eNo2bIlJk+ejC5dupS45pc6KDqvq4+PDyIjI1G7dm2Ympp+caxIJCr2PiUlReHxaT2Fp1QlYyWxsuXk5NA///xDHTp0oMDAQCL63zfJu3fv0ujRo9WimqaifH19ycDAgL7//nuVDNauiuRRpUhUvDQWHBxMAKhPnz4UGRkpp0gV7+PHj0T0v2rGou24Rd29e5eOHz9OjRs3punTpys3SA0gy3NcdYOAGJUwNDTEoEGDQERYt24dCgoK4OPjA6Bw1uzGjRurvEdiZfzwww/gcrlYv349AgMD8cMPP2DOnDkwNjZWdWhaa+jQoVi6dCkuXbqEtLQ01KxZs0LXcXR0hKmpKZKTk3H37l1ERkaiXbt2co5WsczMzAAUls7o/1ffEP83Ly8Pr1+/xqZNm/D8+XNYWFjg/fv3yMnJUXHUGk7RGVXZWElMOjk5OXT48GFycXGhnTt30uTJk4utUKvpDcbv37+n2bNnk76+vqTjhyaXMNVdRXspikQiCg4OpiFDhhAAql27tsLmVFSVhIQEioyMJC8vL3J0dKTRo0fT69evKSoqiubMmUP//fcfEZHWTBklD6xNjCmXoaEhPDw8MG/ePMybNw/Z2dnYuXMngMJ6e01fSM/S0hKbN29GQkICnJ2dQUTo1KkTRo0ahevXr6tlO58mGzp0KADgyJEjMp3Xu3dvuLu7IyYmBn/88QdevXoll1k81MnVq1cxbNgwNGnSBNbW1jA1NYWtrS1u376NGzduwNbWFgCgp6en4kg1lMJTqpKxkphscnJy6M6dO5L3ml4CK41AIKANGzZQkyZNCAC1bNmStm3bJpmVnKkcaXspRkdH07Rp0+jNmzdERHT48GG6evVqsd87ec+pqA7u379PRIW1AV26dCEPDw/y9PSkCxcuFDuuR48eXwx/qYpYSayKW7p0KR4+fCjVsYaGhujYsSMA7SiBlYbL5WLevHl48uQJLl68iMaNG8Pf318y28Hbt29VHKFmK6uXIp/Plyzw2KZNG5w+fRrPnj0DAAwbNgzu7u7Ffu/kNaeiOqD/L/G3bNkSBQUF0NXVxfXr15GZmYnMzEzJgpoA0KtXL6SmpkIkEmH27NmqClnjsCSmZaZPn46YmBg4OjoW2/55117xpKlFVYXpa3R0dNC7d28EBQUhNjYWenp6ePPmDWxtbeHu7o4jR44gLy9P1WFqpM+rFMUP8NmzZ2P06NHg8Xg4evQoXr9+je7du5d6HT09PSxZsgQAsHbtWo3u+FA0ORftMJWWloY+ffqgcePGAICRI0ciIiICUVFROH78OOLi4jBnzhylx6uJtP+pVYXMmjULnz59wrFjxwAAZ86ckXzj1dHRQUxMjGTZdE3ugSgvRkZGAArbz/bv34+CggIMGzYMFhYWGD9+vGqD00DicYX//vsvHBwcsGfPHgDAggUL8OjRI1y5cgVDhgyRqu1Hm0pjn7t27RqMjY3xww8/AAC6d++OyMhItGjRAn/++ScA4NSpU6hfvz5ev36twkg1hMIrN5WsqraJLVu2jIyNjSXv169fT927d6cPHz5Itj1//pwaNGhQbBFSprhHjx6Rv78/LVmyhIgKZzTp3r07rV27lh4/fqy1bYaVtXXrVrKyspIsfOvi4kLXr1+v1DW1sW1M7PTp00RE1KdPH2rdujUREaWmppKjo6Nk/GZVxqadqmJJTCAQ0OXLl8nd3Z3WrVtHgYGB5ObmRi9evPji2L1799KuXbtYd3MpxcXFkaenJxkaGhIAatq0KS1cuLBKJ7N3797Rn3/+SV5eXvTvv/8SEdGxY8do/vz5NHHiRLkMfCZS3OrPqlT09+a3336jWrVqFeta/+bNG7pw4YJKF6NVByyJVaEkVvQPICwsjDp37kwmJiZfzFYxfvx4evr0KT179qxY6YyRTk5ODp0+fZqmTJlCw4YNI6LCnmYTJ06kdevWUXBwsFb+zolEIsnsE3v27KFOnToRh8MhHR0dcnV1/aJ3nbzmUhTT5tIY0f/GLgqFQvbFsgiWxKpIEps3bx4NHz6cli1bRnFxcSQUCunatWvUtWtX8vPzkxw3YsQImjBhguoC1VIJCQnk4uIiKaUBIDs7O8nD9tGjRxr3e/j8+XM6dOgQff/99+Tu7k6mpqaSlQ02b95MX3/9Ne3Zs4eSk5NLvYY8lmcR08bSGFHx2e+rcqm+NLI8xzlE2jXqMyMjA6ampkhPT0f16tVVHY7CTJ8+HcnJyRg1ahQ2btyIX375BZ07dwYAXL9+HX5+fnB2dkZSUhJ4PJ6kcZz+fwocRn6EQiFiY2MRGRmJ58+fY+XKlQCAxo0b4+XLl7Czs4OTkxOcnJzwzTffoFatWsjLy4O+vr5KeoTm5eUhKSkJiYmJiI+PR0xMDFauXAkOh4O2bdsiOjoaNjY2kphHjx6NBg0aSH39lStXYunSpejfvz/OnTtX6Xh37dqFSZMmwdLSEq9evZJ0yNEm4r/LDx8+AABq1aql4ohUS5bnOEtiGmjixIlIT0+X9EIcPHgwTExMYGNjg3bt2mHw4MG4fv06xo0bh/bt2+Pw4cMACrvZV4Vu9OoiJiYGERERiIyMRGRkJKKjo3H9+nW0bdsWM2fORGBgIKysrCSv4cOHY+TIkUhJScGdO3dgbW0NMzMz6OnpQV9fH+bm5gAKx11xOBwIhUIIhUIIBAIIhUKYmJjA2NgYCQkJuHXrliRRJSUloUGDBlixYgVSU1Ml1xGzsbFBREQEatWqhZiYGFhaWlbqIRobG4vmzZuDy+UiOTm5wnMpigkEArRr1w79+vXDkiVLSpwdXhtER0fj6NGjyMrKwtKlSyXzMH4uMjISERERmDZtmpIjVB5ZnuNsAmANk5ycjLNnz2LmzJkAgC1btiAqKgpLlixBQkICFi1ahGrVqqF37944f/487OzsALAEpgoODg5wcHDAuHHjABSW2MSl4G+++QYODg6SJJOUlISsrCwAQEREBAYOHFjsWg0bNsTLly8BAPXr15d8Yy9q27Zt8PHxwdWrVzF+/HgYGBjA2toaVlZWqFu3LgCgZs2a2Lt3L6ysrGBtbY26deuiRo0axWKuLPHA5wcPHuDEiROYMGFCpa6np6eH6OhorR0WQkTIy8vDkiVL0KlTJ7Rp06bUBBYREYHNmzfj+vXriIiIwB9//KHkaNUPK4lpoAcPHmDo0KGwsbFBbm4u/v77b9SvXx/Z2dmYM2cOevfujREjRkiOZwlMswiFQrx79w5JSUlITU2FUCgEj8dDr169ABQOJubz+dDV1QWXy5W8WrVqBVtbW2RnZ0MgEMDU1FRlVcfyrlKsCnJzc2FoaCh5/3nV/8OHD7FmzRq0atUKffv2xdq1a2Fqaopt27apIlyFYtWJWp7EAODRo0cYMWIE3N3d8dtvv0m2u7u7Y/To0Zg8ebIKo2OqOnlXKVYFZbVXR0RE4LfffsPt27fh5eWFdevWAQDc3NwwefJkSWlfW8jyHGdfzzVUixYt8Pfff+PChQvw9/dHQUEBRo0ahUaNGrEExqicvFZ8rkrKSmABAQFo3LgxNm7ciNu3b2Pjxo2IjY1FixYtilUHV0UsiWkwR0dHHD16FH/99RdsbGxQvXp1ybQ1n8+VyDDKVtHlWZj/efv2LZYuXYq6detixIgRGDRoEP755x+sWLECfn5+SExMRL169QAAmZmZKo5WNVgS03AtW7bE0aNHMWHCBEk3etYGxqgDcRITr/jMyK5u3bpo0KABrl+/jmbNmgEArK2tMWTIECxfvhx79uyBk5MT4uPjYWFhgeHDh6s4YuVjTzot4OjoiJ9//hkAS2CM+hBXKerq6iIyMlLV4WgccXeFrVu3onnz5hgzZgxSUlJw4MAB7N+/Hzk5OTA3N0diYiLatGkDHx8fGBoaYsaMGSqOXLlYxw6GYRQmJiYGNjY2qFatmqpD0UhFv5ROmjQJ7969w61bt7B69WpMmzYNCQkJ6Nq1K8zNzREREQEA8PT0RPPmzbF27VpVhl4prHciS2IMw2iJoonsw4cPyM3NhY2NDRISEtCyZUt4eHggKSkJ3t7ekvGje/fuxeDBgzX2ywMb7MwwDKMldHR0JN3vxTOpvH79Gu3atcOYMWMQEBCAN2/eoG/fvrC0tMTQoUO1rst9WVhJjGEYRsNMnz4dWVlZ2Ldvn2Tb+/fv8fHjR7Ro0ULj50dl1YksiTEMU0VQ4WokWtWhiw12ZhiG0VKflzs4HI5WJTBZsTYxhmG0RkFBATIyMvDq1SsIhUJ07NhR1SHJnaZXFcobS2IMw2iF7OxsbNmyBefOncO9e/fQpEkTODs7Y9y4cXB2dlZ1eIyCKLQMumrVKnTu3BlGRkZSz+81fvx4cDicYq9OnTopMkyGYTRcamoqvLy8sG/fPowaNQrp6ekICgpCq1atMHfuXFWHxyiQQpNYfn4+hg4diunTp8t0Xr9+/SRrLCUlJbGlHBiGKdPVq1eRm5uL+/fvw8fHBwBQr149+Pj4wMjICMePH1dxhIyiKLQ6cfny5QCAPXv2yHQej8dDnTp1FBARwzDaRiQS4d69e/jqq6+gq6sLgUAALpcrGSTs4+ODgwcPYvDgwaoOlVEAtezSEhISAktLS9jZ2WHKlClITk5WdUgMw6gpHR0dpKSkIDc3FwAkzRBcbuF39Bo1amDYsGFVdpZ3bad2Sax///44cOAArl69ivXr1yM8PBw9evQAn88v8Xg+n4+MjIxiL4ZhqpbvvvsOx44dAwBJ8hIvR9SxY0e8f/8eEyZMUFl8jOLInMSWLVv2RceLz1/iiSgrYvjw4Rg4cCAcHR3h4eGB8+fP4+nTpzh79myJx69evRqmpqaSV/369St8b4ZhNFPjxo3h7OyM6dOn4969ewAKeytu2rQJ7du3x969e3Hnzh2cPn1axZEy8iZzm9isWbMwYsSIMo9p0KBBReP5gpWVFWxtbfHs2bMS9y9evBjz58+XvM/IyGCJjGGqIH9/f4SEhMDCwgKbN2/Gli1bYGxsjFWrVmHYsGG4ffs2fH194eHhoepQGTmSOYlZWFjAwsJCEbGUKCUlBQkJCbCysipxP4/HA4/HU1o8DMOoJ/GzqW3btmjatKkkeYl16tQJQqEQ58+fR//+/VUYKSNPCm0Ti4+PR3R0NOLj41FQUIDo6GhER0cjKytLckyzZs0QFBQEAMjKysKCBQtw69YtvH79GiEhIfDw8ICFhQW8vb0VGSrDMGpA3I5VUfXq1UNBQQFu3LiBYcOGgYggEAiQn58PAGjfvj0+fvwoj1AZNaHQJLZ06VK0bdsWfn5+yMrKQtu2bdG2bdtibWZPnjxBeno6AEBXVxcPHjyAl5cX7OzsMG7cONjZ2eHWrVsauy4OwzDFRUVF4cGDB0hISEBISAiSk5ORmpqKhw8fVnoOwCZNmmDEiBFYtWoVAEAgEEBPTw/6+vqIiYnBoUOHYG9vL4+PwagJNos9wzBKNX/+fNy9exfR0dGwtbVFgwYN8N9//8HDwwMvX76ElZVVsSVGZPXixQsMGjQIx44dQ4sWLZCUlIRLly7hyJEjqFevHrZt2yZZn4tRT2wWe4Zh1NaSJUsQFBSE/fv3Q1dXF9u2bUNsbCxatWqFq1evVro01rhxY0yaNAl+fn6ws7PD2LFjceLECTRp0gSzZ88GwCbR1SasJMYwjEoUFBTA3t4ez58/x4MHD7BixQq0bdsWs2fPrnTzAREhKSkJZ8+ehampKWrWrIlu3bpBX19fTtEziiTLc5zNYs8wjNLl5eXBwMAADg4OaN++Pfh8PoYPH45FixZBR0en0tV9HA4H1tbWmDJlSrHtrBpR+7AkxjCM0hkYGAAAHBwc8OnTJ2zevBmdO3eGQCDAy5cv8fjxY4WM52IJTPuwJMYwjNLl5OSgR48eSElJwfr162FtbY2goCCEhITg0aNHuHLlCo4dO8aG1jDlYkmMYRilMzIygq+vL4gIMTEx+O233xATEwNLS0ucO3cOZ8+exdmzZ1kSY8rFeicyDKMSOTk58Pb2xqdPn7B8+XKcPn0adevWRb169TBixAjcvXsXWtbvjFEAVhJjGEYlunXrhnbt2mHt2rWSbR8/fkRMTAwcHBxgbW2Nc+fOYeDAgSqMklF3rCTGMIxKWFlZoVatWrh8+bJkW+/evSXvZ82aJekAwjClYSUxhmFUZtCgQfjnn3/Qq1cvAMCMGTPw+vVrAEC/fv1UGBmjKVhJjGEYlRkyZIhkRWagcAJfV1dXyXvWJsaUh83YwTAMw6gVNnciwzAaRcu+SzNKxJIYwzAqx2bSYCqKJTGGYRhGY7EkxjAMw2gslsQYhmEYjcWSGMMwDKOxWBJjGIZhNBZLYgzDMIzGYkmMYRiG0VgsiTEMwzAaiyUxhmEYRmOxJMYwDMNoLJbEGIZhGI3FkhjDMAyjsVgSYxiGYTQWS2IMwzCMxmJJjGEYhtFYLIkxDMMwGoslMYZhGEZjsSTGMAzDaCyWxBiGYRiNxZIYwzAMo7FYEmMYhmE0FlfVAcgbEQEAMjIyVBwJwzAMUxHi57f4eV4WrUtimZmZAID69eurOBKGYRimMjIzM2FqalrmMRySJtVpEJFIhMTERFSrVg0cDkfV4ZQpIyMD9evXR0JCAqpXr67qcGSmyfGz2FVHk+NnsSsHESEzMxPW1tbQ0Sm71UvrSmI6OjqoV6+eqsOQSfXq1dX+l6osmhw/i111NDl+FrvilVcCE2MdOxiGYRiNxZIYwzAMo7FYElMhHo8HPz8/8Hg8VYdSIZocP4tddTQ5fha7+tG6jh0MwzBM1cFKYgzDMIzGYkmMYRiG0VgsiTEMwzAaiyUxhmEYRmOxJKZkq1atQufOnWFkZIQaNWpIdc748ePB4XCKvTp16qTYQEtQkdiJCMuWLYO1tTUMDQ3RvXt3xMTEKDbQUqSlpWHs2LEwNTWFqakpxo4di0+fPpV5jqp+9lu3bkXDhg1hYGAAJycnhIWFlXl8aGgonJycYGBggEaNGmH79u0Kj7E0ssQeEhLyxc+Xw+EgNjZWiRH/z7Vr1+Dh4QFra2twOBycOHGi3HPU5Wcva+zq9rOvKJbElCw/Px9Dhw7F9OnTZTqvX79+SEpKkrzOnTunoAhLV5HYf/nlF2zYsAEBAQEIDw9HnTp10Lt3b8kcl8o0atQoREdH48KFC7hw4QKio6MxduzYcs9T9s/+8OHDmDt3Ln788UdERUXBzc0N/fv3R3x8fInHv3r1CgMGDICbmxuioqLg6+uLOXPm4NixYwqNsySyxi725MmTYj/jpk2bKini4rKzs9G6dWsEBARIdbw6/exljV1MXX72FUaMSuzevZtMTU2lOnbcuHHk5eWl0HhkIW3sIpGI6tSpQ2vWrJFsy8vLI1NTU9q+fbsCI/zSo0ePCADdvn1bsu3WrVsEgGJjY0s9TxU/+44dO5KPj0+xbc2aNaNFixaVePzChQupWbNmxbZNmzaNOnXqpLAYSyNr7MHBwQSA0tLSlBCdbABQUFBQmceo08++KGliV+efvSxYSUxDhISEwNLSEnZ2dpgyZQqSk5NVHVK5Xr16hXfv3qFPnz6SbTweD926dcPNmzeVGsutW7dgamoKZ2dnybZOnTrB1NS03FiU+bPPz89HZGRksZ8ZAPTp06fUOG/duvXF8X379kVERAT+r737eYXnj+MA/ip2yY8ki52UXTnsBbVsstIqSpQSF7Rp/gEHcnFjb5QfJyklF8qBddBebFkcCIcpqz1Qfu1l/TqglNDze9Bu+ex8ZNfMmvl8X4/a4j1vM8+e1GtlMq+vr6pl/VMy2aPsdjsJgkDNzc0UCATUjKkorXT/E3rtPoqHmA60tbXR0tISbW5u0uTkJB0eHlJTUxO9vLz8drQvRSIRIiIqLi7+tF5cXBw7lsosRUVFcetFRUVfZkl193d3d/T+/p5QZ5FIRHb/29sb3d3dqZJTTjLZBUGgubk5Wl1dJa/XSzabjZqbm2lnZycVkX9MK90nQ+/dR/1z/8X+N4yOjpLH4/lyz+HhITkcjqTO393dHfu4oqKCHA4HWSwW8vl81NXVldQ5o9TOTkRxj8QBoNhjcr6bXy7Hd7Ko2f1XEu1Mbr/ceiokkt1ms5HNZot97nQ6KRwO08TEBLlcLlVzKkVL3SfiX+ieiIeYIvr7+6mnp+fLPVarVbHrCYJAFouFTk9Pf3wuNbObzWYi+ni3KghCbP3m5ibu3Wuyvpv/6OiIrq+v447d3t4mlEXJ7uWYTCZKS0uL+83lq87MZrPs/vT0dCooKFAlp5xkssupq6ujxcVFpeOpQivdK0VP3UfxEFOAyWQik8mUsuvd399TOBz+NBiSpWb2srIyMpvN5Pf7yW63E9HH3022t7dpfHxckWt8N7/T6aSHhwc6ODig2tpaIiLa39+nh4cHqq+v//b1lOxejtFopJqaGvL7/dTZ2Rlb9/v91NHRIfs1TqeT1tfXP61tbGyQw+Egg8GgSk45yWSXI0mSav0qTSvdK0VP3cf85l0l/0eXl5eQJAkejwc5OTmQJAmSJOHp6Sm2x2azwev1AgCenp4wNDSE3d1dnJ+fIxAIwOl0oqSkBI+Pj5rODgBjY2PIy8uD1+tFMBhEb28vBEFIeXYAaG1tRVVVFfb29rC3t4fKykq0t7d/2qOF7peXl2EwGDA/P49QKISBgQFkZ2fj4uICADA8PIy+vr7Y/rOzM2RlZWFwcBChUAjz8/MwGAxYWVlRLaNS2aenp7G2toaTkxMcHx9jeHgYRITV1dWUZwc+vufRn2siwtTUFCRJwuXlpWx+LXWfaHatdZ8sHmIpJooiiCjuFQgEYnuICAsLCwCA5+dntLS0oLCwEAaDAaWlpRBFEVdXV5rPDnzcZj8yMgKz2YyMjAy4XC4Eg8GUZweA+/t7uN1u5ObmIjc3F263O+72Yq10PzMzA4vFAqPRiOrqamxvb8eOiaKIxsbGT/u3trZgt9thNBphtVoxOzuresa/SST7+Pg4ysvLkZmZifz8fDQ0NMDn8/1C6g/R287/fImiCEDb3SeaXWvdJ4sfxcIYY0y3+BZ7xhhjusVDjDHGmG7xEGOMMaZbPMQYY4zpFg8xxhhjusVDjDHGmG7xEGOMMaZbPMQYY4zpFg8xxhhjusVDjDHGmG7xEGOMMaZbPMQYY4zp1n+OkGvvLV079wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "G = create_example_graph(centered=True)\n",
+    "G.rescale_to_unit_disk()\n",
+    "\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "G.plot(ax = ax)\n",
+    "G.plot_angle_circle(ax = ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can extract the information directly for use in computation. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[       nan 5.49778714 5.60844436 5.8195377  5.03413953 5.49778714]\n",
+      " [2.35619449        nan 5.6951827  0.         3.92699082 5.49778714]\n",
+      " [2.46685171 2.55359005        nan 2.03444394 2.89661399 2.67794504]\n",
+      " [2.67794504 3.14159265 5.17603659        nan 3.46334321 3.92699082]\n",
+      " [1.89254688 0.78539816 6.03820664 0.32175055        nan 0.        ]\n",
+      " [2.35619449 2.35619449 5.8195377  0.78539816 3.14159265        nan]]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.colorbar.Colorbar at 0x16b198290>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 480x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# If return type is `matrix`, the function returns the matrix of angles and the labels of the angles in the order of the rows/columns in the matrix \n",
+    "M,Labels = G.get_all_normals_matrix()\n",
+    "print(M)\n",
+    "\n",
+    "plt.matshow(M)\n",
+    "plt.xticks(range(len(Labels)), Labels)\n",
+    "plt.yticks(range(len(Labels)), Labels)\n",
+    "plt.colorbar()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This can also be returned as a dictionary, with keys given by angles (note the negative angle is not repeated), and value a list of the pairs of vertices associated. Note that in the case of more than one pair of vertices having the same normal angle, it is given as a list of all pairs. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.497787143782138: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.608444364956034: [('A', 'C')],\n",
+       " 5.81953769817878: [('A', 'D'), ('F', 'C')],\n",
+       " 5.034139534781332: [('A', 'E')],\n",
+       " 5.695182703632018: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.9269908169872414: [('B', 'E'), ('D', 'F')],\n",
+       " 2.0344439357957027: [('C', 'D')],\n",
+       " 2.896613990462929: [('C', 'E')],\n",
+       " 3.4633432079864352: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "angles_dict = G.get_normals_dict()\n",
+    "angles_dict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also get it to return the dictionary with rounded values, as well as to have it include all the opposite angles. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{5.5: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 5.61: [('A', 'C')],\n",
+       " 5.82: [('A', 'D'), ('F', 'C')],\n",
+       " 5.03: [('A', 'E')],\n",
+       " 5.7: [('B', 'C')],\n",
+       " 0.0: [('B', 'D'), ('E', 'F')],\n",
+       " 3.93: [('B', 'E'), ('D', 'F')],\n",
+       " 2.03: [('C', 'D')],\n",
+       " 2.9: [('C', 'E')],\n",
+       " 3.46: [('D', 'E')],\n",
+       " 2.36: [('A', 'B'), ('A', 'F'), ('B', 'F')],\n",
+       " 2.47: [('A', 'C')],\n",
+       " 2.68: [('A', 'D'), ('F', 'C')],\n",
+       " 1.89: [('A', 'E')],\n",
+       " 2.56: [('B', 'C')],\n",
+       " 3.14: [('B', 'D'), ('E', 'F')],\n",
+       " 0.79: [('B', 'E'), ('D', 'F')],\n",
+       " 5.17: [('C', 'D')],\n",
+       " 6.04: [('C', 'E')],\n",
+       " 0.32: [('D', 'E')]}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "G.get_normals_dict(opposites = True, \n",
+    "                   num_rounding_digits=2)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/objects.inv b/docs/objects.inv
index e5cbc20..1c88534 100644
Binary files a/docs/objects.inv and b/docs/objects.inv differ
diff --git a/docs/py-modindex.html b/docs/py-modindex.html
index 6feb5f5..53395e6 100644
--- a/docs/py-modindex.html
+++ b/docs/py-modindex.html
@@ -83,6 +83,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/search.html b/docs/search.html
index 4a2d477..f669d22 100644
--- a/docs/search.html
+++ b/docs/search.html
@@ -83,6 +83,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
diff --git a/docs/searchindex.js b/docs/searchindex.js
index a60eb42..b556fae 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"Acknowledgements": [[10, "Acknowledgements"]], "Authors": [[5, "authors"]], "Citing": [[0, "citing"]], "Code style and formatting": [[1, "code-style-and-formatting"]], "Computing the ECT of G": [[12, "Computing-the-ECT-of-G"]], "Conclusion": [[1, "conclusion"]], "Constructing the embedded graph": [[12, "Constructing-the-embedded-graph"]], "Contact Information": [[5, "contact-information"]], "Contents:": [[5, null], [13, null]], "Contributing Guidelines": [[1, "contributing-guidelines"]], "Contributing to the ect Package": [[1, "contributing-to-the-ect-package"]], "Dependencies": [[5, "dependencies"]], "Description": [[5, "description"]], "Documentation and tutorials": [[5, "documentation-and-tutorials"]], "Documentation guidelines": [[1, "documentation-guidelines"]], "ECC in one direction": [[9, "ECC-in-one-direction"]], "ECT": [[9, "ECT"]], "ECT on Graphs": [[2, "module-ect.ect_graph"]], "ECT on Matisse\u2019s \u201cThe Parakeet and the Mermaid\u201d": [[10, "ECT-on-Matisse's-%22The-Parakeet-and-the-Mermaid%22"]], "Embedded CW complex": [[3, "module-ect.embed_cw"]], "Embedded graphs": [[4, "module-ect.embed_graph"]], "Erik\u2019s version": [[9, "Erik's-version"]], "Figure generation for Invitation to the ECT": [[9, "Figure-generation-for-Invitation-to-the-ECT"]], "GPL-3.0 License": [[7, "gpl-3-0-license"]], "Getting Started": [[1, "getting-started"], [5, "getting-started"]], "Installation": [[6, "installation"]], "Installing": [[5, "installing"]], "Installing ect": [[6, "installing-ect"]], "Issue tracking and pull requests": [[1, "issue-tracking-and-pull-requests"]], "Let\u2019s draw a cylinder!": [[9, "Let's-draw-a-cylinder!"]], "License": [[5, "license"]], "Making pictures": [[9, "Making-pictures"]], "Prerequisites": [[6, "prerequisites"]], "SECT": [[9, "SECT"], [12, "SECT"]], "Table of Contents": [[5, "table-of-contents"], [8, "table-of-contents"]], "Testing guidelines": [[1, "testing-guidelines"]], "Thresholded Figure": [[9, "Thresholded-Figure"]], "Trying Erik\u2019s stuff": [[9, "Trying-Erik's-stuff"]], "Tutorial : ECT for embedded graphs": [[12, "Tutorial-:-ECT-for-embedded-graphs"]], "Tutorial: ECT for CW complexes": [[11, "Tutorial:-ECT-for-CW-complexes"]], "Tutorials": [[13, "tutorials"]], "Uninstalling ect": [[6, "uninstalling-ect"]], "ect: Euler Characteristic Transform in Python": [[5, "ect-euler-characteristic-transform-in-python"]]}, "docnames": ["citing", "contributing", "ect_on_graphs", "embed_cw", "embed_graph", "index", "installation", "license", "modules", "notebooks/CodingFiguresFern", "notebooks/Matisse/Matisse_ECT", "notebooks/Tutorial-ECT_for_CW_Complexes", "notebooks/Tutorial-ECT_for_embedded_graphs", "tutorials"], "envversion": {"nbsphinx": 4, "sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "filenames": ["citing.rst", "contributing.rst", "ect_on_graphs.md", "embed_cw.md", "embed_graph.md", "index.rst", "installation.rst", "license.md", "modules.rst", "notebooks/CodingFiguresFern.ipynb", "notebooks/Matisse/Matisse_ECT.ipynb", "notebooks/Tutorial-ECT_for_CW_Complexes.ipynb", "notebooks/Tutorial-ECT_for_embedded_graphs.ipynb", "tutorials.rst"], "indexentries": {"__init__() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.__init__", false]], "__init__() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.__init__", false]], "__init__() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.__init__", false]], "add_cycle() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_cycle", false]], "add_edge() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_edge", false]], "add_face() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.add_face", false]], "add_from_embedded_graph() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.add_from_embedded_graph", false]], "add_node() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_node", false]], "add_nodes_from() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_nodes_from", false]], "calculateecc() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.calculateECC", false]], "calculateect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.calculateECT", false]], "calculatesect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.calculateSECT", false]], "create_example_cw() (in module ect.embed_cw)": [[3, "ect.embed_cw.create_example_cw", false]], "create_example_graph() (in module ect.embed_graph)": [[4, "ect.embed_graph.create_example_graph", false]], "ect (class in ect.ect_graph)": [[2, "ect.ect_graph.ECT", false]], "ect.ect_graph": [[2, "module-ect.ect_graph", false]], "ect.embed_cw": [[3, "module-ect.embed_cw", false]], "ect.embed_graph": [[4, "module-ect.embed_graph", false]], "embeddedcw (class in ect.embed_cw)": [[3, "ect.embed_cw.EmbeddedCW", false]], "embeddedgraph (class in ect.embed_graph)": [[4, "ect.embed_graph.EmbeddedGraph", false]], "g_omega() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.g_omega", false]], "g_omega_edges() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.g_omega_edges", false]], "g_omega_faces() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.g_omega_faces", false]], "get_bounding_box() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_bounding_box", false]], "get_bounding_radius() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_bounding_radius", false]], "get_center() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_center", false]], "get_centered_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_centered_coordinates", false]], "get_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_coordinates", false]], "get_ect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.get_ECT", false]], "get_pca_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_PCA_coordinates", false]], "get_radius_and_thresh() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.get_radius_and_thresh", false]], "get_scaled_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_scaled_coordinates", false]], "get_sect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.get_SECT", false]], "lower_edges() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.lower_edges", false]], "module": [[2, "module-ect.ect_graph", false], [3, "module-ect.embed_cw", false], [4, "module-ect.embed_graph", false]], "next_vert_name() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.next_vert_name", false]], "plot() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plot", false]], "plot() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.plot", false]], "plot() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.plot", false]], "plot_faces() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.plot_faces", false]], "plotecc() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plotECC", false]], "plotect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plotECT", false]], "plotsect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plotSECT", false]], "rescale_to_unit_disk() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk", false]], "set_bounding_radius() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.set_bounding_radius", false]], "set_centered_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_centered_coordinates", false]], "set_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_coordinates", false]], "set_pca_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_PCA_coordinates", false]], "set_scaled_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_scaled_coordinates", false]], "sort_edges() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.sort_edges", false]], "sort_faces() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.sort_faces", false]], "sort_vertices() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.sort_vertices", false]]}, "objects": {"ect": [[2, 0, 0, "-", "ect_graph"], [3, 0, 0, "-", "embed_cw"], [4, 0, 0, "-", "embed_graph"]], "ect.ect_graph": [[2, 1, 1, "", "ECT"]], "ect.ect_graph.ECT": [[2, 2, 1, "", "__init__"], [2, 2, 1, "", "calculateECC"], [2, 2, 1, "", "calculateECT"], [2, 2, 1, "", "calculateSECT"], [2, 2, 1, "", "get_ECT"], [2, 2, 1, "", "get_SECT"], [2, 2, 1, "", "get_radius_and_thresh"], [2, 2, 1, "", "plot"], [2, 2, 1, "", "plotECC"], [2, 2, 1, "", "plotECT"], [2, 2, 1, "", "plotSECT"], [2, 2, 1, "", "set_bounding_radius"]], "ect.embed_cw": [[3, 1, 1, "", "EmbeddedCW"], [3, 3, 1, "", "create_example_cw"]], "ect.embed_cw.EmbeddedCW": [[3, 2, 1, "", "__init__"], [3, 2, 1, "", "add_face"], [3, 2, 1, "", "add_from_embedded_graph"], [3, 2, 1, "", "g_omega_faces"], [3, 2, 1, "", "plot"], [3, 2, 1, "", "plot_faces"], [3, 2, 1, "", "sort_faces"]], "ect.embed_graph": [[4, 1, 1, "", "EmbeddedGraph"], [4, 3, 1, "", "create_example_graph"]], "ect.embed_graph.EmbeddedGraph": [[4, 2, 1, "", "__init__"], [4, 2, 1, "", "add_cycle"], [4, 2, 1, "", "add_edge"], [4, 2, 1, "", "add_node"], [4, 2, 1, "", "add_nodes_from"], [4, 2, 1, "", "g_omega"], [4, 2, 1, "", "g_omega_edges"], [4, 2, 1, "", "get_PCA_coordinates"], [4, 2, 1, "", "get_bounding_box"], [4, 2, 1, "", "get_bounding_radius"], [4, 2, 1, "", "get_center"], [4, 2, 1, "", "get_centered_coordinates"], [4, 2, 1, "", "get_coordinates"], [4, 2, 1, "", "get_scaled_coordinates"], [4, 2, 1, "", "lower_edges"], [4, 2, 1, "", "next_vert_name"], [4, 2, 1, "", "plot"], [4, 2, 1, "", "rescale_to_unit_disk"], [4, 2, 1, "", "set_PCA_coordinates"], [4, 2, 1, "", "set_centered_coordinates"], [4, 2, 1, "", "set_coordinates"], [4, 2, 1, "", "set_scaled_coordinates"], [4, 2, 1, "", "sort_edges"], [4, 2, 1, "", "sort_vertices"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "function", "Python function"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:function"}, "terms": {"": [1, 4, 11, 12, 13], "0": [1, 2, 3, 4, 9, 10, 11, 12], "00": 9, "00000000e": 9, "00029890": [0, 5], "00311595": 9, "00500167": 9, "00909174": 9, "01": 9, "01000334": 9, "0271": 9, "03": 9, "03064257e": 9, "035": 9, "04": 9, "05": 9, "05282835": 9, "05880414": 9, "0625": 9, "06477993": 9, "07": 9, "07075572": 9, "07101183": 9, "07698762": 9, "07718279e": 9, "07990971": 12, "08296341": 9, "0889392": 9, "09272788": 9, "09491499": 9, "09772955": 9, "09992015e": 9, "0x303d56d40": 10, "0x73f16b12de10": 9, "0x73f16b1855d0": 9, "0x73f180e96250": 9, "1": [0, 3, 4, 5, 9, 10, 11, 12], "10": [0, 5, 9, 10, 11, 12], "100": [9, 11], "1000": 9, "101": 9, "103": 9, "1036569057366385": 12, "10365691": 12, "10395": 9, "104": 9, "10482613": 9, "10508806": 12, "106": 9, "107": 9, "1080": [0, 5], "11": [9, 11], "110": 9, "111": 9, "114": 9, "115": 9, "117": 9, "11785113019775761": 12, "11785113019775795": 12, "11785113019775861": 12, "118": 9, "12": [9, 11, 12], "121": 9, "122": 9, "12336873e": 9, "124": 9, "125": 9, "127": 9, "128": 9, "129": 9, "13": [9, 11, 12], "132": [0, 5, 9], "1326758": 9, "133": 9, "135": 9, "136": 9, "13865159": 9, "139": 9, "14": [9, 11, 12], "140": 9, "14159265": 12, "142": 9, "143": 9, "14462738": 9, "146": 9, "147": 9, "1470381530": 9, "149": 9, "15": [0, 5, 9, 11, 12], "150": [9, 10], "15060317": 9, "152": 9, "153": 9, "154": 9, "15683507": 9, "157": 9, "158": 9, "16": [9, 11, 12], "160": 9, "161": 9, "16281086": 9, "165": 9, "168": 9, "16878665": 9, "17": [9, 11], "172": 9, "17476244": 9, "176": 9, "177": 9, "17809725": 12, "179": 9, "18": [9, 11], "183": 9, "18545576": 9, "186": 9, "1875": 9, "19": 9, "190": 9, "19045743": 9, "193": 9, "1952": 10, "197": 9, "2": [1, 2, 3, 4, 9, 10, 11, 12], "20": [9, 12], "200": 9, "2000": 9, "2023": 9, "2024": [0, 5, 9], "21598194": 12, "21849905": 9, "22": 9, "22447484": 9, "23045063": 9, "23066002e": 9, "2310": 9, "23642642": 9, "23668253": 9, "23972914": 12, "24": 9, "2409616": [0, 5], "24265832": 9, "24863411": 9, "25": [0, 5, 9], "250": 9, "25261331": 9, "25339739e": 9, "2546099": 9, "255": 9, "259": 9, "26": 9, "260": 9, "26058569": 9, "270": 9, "271": 9, "27318197": 9, "27613475e": 9, "27818364": 9, "279": 9, "28": 9, "280": 9, "28318531": 9, "285": 9, "29": 9, "2963624321753375": 12, "29913915e": 9, "2d": [4, 5, 10, 12], "2pi": [4, 9], "2r": [11, 12], "3": [6, 9, 10, 11, 12], "300": 9, "3043223": 9, "31": 9, "310": 9, "31029808": 9, "3125": 9, "31627387": 9, "3196899": 12, "32": 9, "32250578": 9, "32848157": 9, "33": 9, "33445735": 9, "33582034e": 9, "34": [9, 10], "34043314": 9, "35": 9, "35074240e": 9, "35619449": 12, "356194490192345": 9, "36": 9, "360": 9, "36590985": 9, "37091152": 9, "375": 9, "37580137": 12, "38": 9, "38416975": 9, "39": [9, 10, 11, 12], "39014554": 9, "39269908": 12, "39612133": 9, "3d": [9, 10], "3pi_over_2": 9, "3pi_over_4": 9, "4": [9, 10, 12], "402097119801482": 9, "40209712": 9, "40235323": 9, "40758582e": 9, "40832902": 9, "41430481": 9, "4197140881138655": 12, "42": 9, "4202806": 9, "42253678": 9, "42625639": 9, "42854650e": 9, "43": 9, "4375": 9, "44": 9, "45": 9, "45167": 9, "45863773": 9, "46": 9, "4636394": 9, "46877882": 9, "469993": 9, "47": 9, "47596879": 9, "48194458": 9, "48538992e": 9, "48817648": 9, "49": 9, "49415227": 9, "49778714": 12, "497787143782138": 9, "4f": 9, "5": [9, 10, 12], "50": [9, 10], "50012806": 9, "50610385": 9, "51": 9, "5118736": 12, "51207963": 9, "53": 9, "53175300e": 9, "532064692570853": 12, "53429174": 12, "53821": 9, "53822": 9, "53825": 9, "53826": 9, "53827": 9, "53828": 9, "53829": 9, "53830": 9, "53831": 9, "53832": 9, "54": 9, "54223334e": 9, "54478873": 9, "54636394": 9, "5497": 9, "54984045": 9, "55136561": 9, "55581624": 9, "56": 9, "56017471e": 9, "56179203": 9, "5625": 9, "56541488e": 9, "56776782": 9, "57": 9, "57079633": 12, "57399972": 9, "57746322": 9, "57997551": 9, "58": 12, "5859513": 9, "5892556509887904": 12, "59": 9, "59192709": 9, "6": [9, 10, 12], "60": [9, 12], "61": 9, "625": 9, "63": 9, "6356637": 9, "63909182": 9, "64": 9, "64163949": 9, "64409349": 9, "64761528": 9, "64794583": 12, "65": [9, 11], "65359107": 9, "65384718": 9, "65982297": 9, "66116035e": 9, "66579876": 9, "67": 9, "67169302": 12, "67177455": 9, "67775034": 9, "68": 9, "6875": 9, "68893688291087": 9, "69": 9, "7": [6, 9, 10, 11, 12], "71": 9, "71238898": 12, "71238898038469": 9, "71551116": 9, "71800377e": 9, "72": 9, "72148694": 9, "72746273": 9, "7318197": 9, "73343852": 9, "73682137": 9, "73967042": 9, "74": 9, "74564621": 9, "74889357": 12, "75": 9, "751622": 9, "75759779": 9, "76167204": 9, "78": 9, "78539816": 12, "7853981633974483": 9, "78754838e": 9, "79": 9, "7pi_over_4": 9, "8": [1, 9, 10, 11, 12], "80": 11, "8013344": 9, "80731019": 9, "80776525": 12, "81": 9, "8125": 9, "81328598": 9, "81926177": 9, "81951788": 9, "81954591": 9, "82": 9, "82454758": 9, "82549367": 9, "83": 9, "83146946": 9, "83744525": 9, "841874542459709": 11, "84342104": 9, "85": 9, "86": 9, "87": 9, "87059265e": 9, "875": 9, "88": 9, "88715765": 9, "89": [9, 11], "89048623": 12, "89313344": 9, "89517387": 9, "89910923": 9, "9": [9, 10, 11, 12], "90": 9, "900": 9, "90534113": 9, "91": 9, "91131692": 9, "91227379": 9, "91727546": 9, "91729271": 9, "92": 9, "92326849": 9, "92699082": 12, "93": 9, "9375": 9, "94": 9, "94383748": 12, "95": 9, "9597201": 9, "96": 9, "96331881e": 9, "96349541": 12, "9670051": 9, "97": 9, "97298089": 9, "97895668": 9, "98": 9, "98493247": 9, "98518858": 9, "99": 9, "99116437": 9, "99196": 9, "99714016": 9, "A": [1, 2, 3, 4, 5, 11, 12], "And": 10, "As": 11, "Be": 1, "But": 11, "For": [1, 5, 10], "If": [1, 2, 3, 4, 12], "In": 11, "It": 1, "THe": 9, "The": [0, 1, 2, 3, 4, 5, 7, 9, 11, 12, 13], "Then": [4, 11, 12], "There": [1, 10], "To": [0, 1, 6, 9, 12], "_": 12, "__init__": [2, 3, 4], "__version__": 9, "_nocolorbar": 9, "a_i": 2, "a_j": 2, "aa": 4, "aaa": 4, "abil": 11, "abl": 1, "about": 1, "abov": [9, 12], "access": 12, "accord": [1, 3, 4], "acknowledg": [1, 13], "across": 2, "actual": 12, "ad": [4, 11], "add": [1, 3, 4, 11], "add_cycl": [4, 10], "add_edg": [4, 12], "add_edges_from": 11, "add_fac": [3, 11], "add_from_embedded_graph": 3, "add_nod": [4, 11, 12], "add_nodes_from": 4, "add_subplot": 9, "addit": [3, 11], "advanc": 10, "after": 2, "agreement": 7, "align": [4, 10], "all": [1, 2, 4, 9, 10, 11, 12], "along": [1, 3, 4, 5], "alphabet": 4, "alreadi": [4, 11, 12], "also": [1, 3, 4, 11, 12], "altern": [5, 6], "although": 1, "alwai": 1, "american": [0, 5], "an": [0, 1, 2, 3, 4, 5, 9, 10, 11, 12], "angl": [1, 2, 3, 4], "ani": [1, 11], "anoth": 12, "appear": [4, 9], "approv": 1, "ar": [1, 3, 4, 9, 10, 11, 12], "arang": 9, "argument": 3, "around": [3, 4, 9, 11], "arrai": [2, 4, 9, 10, 11, 12], "arxiv": 9, "ask": 11, "aspect": 12, "assign": 4, "assum": [1, 3, 11, 12], "attribut": [2, 4, 12], "auto": 10, "autogener": 1, "automat": 12, "avail": [2, 5], "averag": [4, 9, 12], "avgoveromega": 9, "ax": [3, 4, 9, 10, 11, 12], "axes3d": 9, "axesimag": 10, "axi": [2, 9, 10, 11], "axvlin": 9, "ayub": 5, "b": [11, 12], "backward": 9, "ball": 10, "base": [4, 10, 11], "bbox_inch": 9, "becaus": 12, "been": [11, 12], "befor": [1, 2, 6, 7, 9], "begin": 12, "being": 4, "below": 1, "better": [1, 12], "between": [4, 10], "bigger": 12, "bigval": 9, "bit": [1, 10, 11, 12], "bool": [1, 2, 3, 4], "both": [9, 12], "bottom": 9, "bound": [2, 3, 4, 10, 11, 12], "bound_radiu": [2, 11, 12], "boundari": 3, "bounding_center_typ": 4, "bounding_circl": [3, 4, 10, 11, 12], "box": 4, "branch": 1, "browser": 1, "bug": 1, "build": 11, "built": [11, 12], "c": [9, 10, 11, 12], "calcul": [2, 3, 4, 9, 10, 11, 12], "calculateecc": [2, 11, 12], "calculateect": [2, 10, 11, 12], "calculatesect": [2, 12], "call": [1, 2, 12], "can": [1, 2, 4, 5, 6, 7, 9, 10, 11, 12], "care": [10, 11], "carefulli": 7, "case": 11, "cd": [5, 6], "cell": [3, 9], "center": [2, 3, 4, 9, 10, 12], "center_typ": [3, 4, 10], "chain": 4, "chang": [1, 9], "characterist": [0, 2, 9, 11, 12], "check": [3, 11], "chi": [2, 9, 12], "chitwood": 10, "choos": [9, 12], "chosen": 12, "circl": [2, 4, 9, 12], "circle_dir": 9, "circledir": 9, "cite": 5, "class": [1, 2, 3, 4, 10, 11, 12], "classifi": 10, "clean": 1, "clf": 9, "clone": [1, 5, 6], "close": 4, "cm": 9, "cmap": 9, "cmap_binari": 9, "cmap_viridi": 9, "co": [9, 12], "coars": 4, "code": [5, 9, 10, 12], "col": 9, "col_df": 10, "collabor": 5, "color": [4, 9, 10, 11, 12], "color_dimens": 9, "color_nodes_theta": [3, 4, 11, 12], "colorbar": 9, "colormap": 9, "com": [5, 6], "command": [1, 6, 11, 12], "commit": 1, "comparison": 10, "complex": [2, 5, 8, 9, 13], "complexifi": 9, "complic": 11, "compon": 10, "comput": [2, 4, 5, 10, 11, 13], "compute_sect": [2, 12], "conf": 1, "connect": 4, "consid": [2, 4], "construct": [2, 13], "contact": 1, "content": 1, "contribut": 5, "contributor": 1, "control": 11, "convers": 9, "convert": 12, "coord_matrix": 4, "coordiant": 4, "coordin": [3, 4, 10, 12], "copi": 9, "correct": 1, "correctli": 1, "correspond": 12, "cos\u03b8": 9, "could": 3, "count": [2, 4], "cours": 11, "crawford2019": 9, "creat": [1, 3, 4, 10], "create_example_cw": [3, 8, 11], "create_example_graph": [4, 8, 12], "csv": 10, "cubic": 9, "cubicalcomplex": 9, "cumsum": 9, "current": [4, 10], "curv": [2, 12], "cutout": 10, "cw": [2, 8, 13], "cycl": [3, 4], "d": [10, 11, 12], "da": 12, "dan": 10, "data": 10, "data_dir": 10, "date": 1, "deal": [1, 9], "decid": 11, "decomposit": 10, "def": [1, 9, 10], "default": [2, 12], "defin": [4, 12], "delet": 1, "demet": 9, "deprec": 9, "deprecationwarn": 9, "descript": 1, "desir": 9, "detail": [5, 12], "develop": 1, "dict": [3, 4], "dictionari": [1, 3, 4, 12], "differ": [3, 9], "dimens": [9, 10], "dimension": [5, 10], "dir": 9, "direct": [1, 2, 3, 4, 10, 11, 12], "directli": [1, 5, 6, 12], "directori": [1, 10], "discuss": 1, "disk": 4, "dissimilar": 10, "distanc": 10, "distance_matrix": 10, "do": [1, 3, 4, 5, 9], "doc": 1, "doc_sourc": [1, 10], "docstr": 1, "doe": [3, 4, 11, 12], "doesn": 2, "doi": [0, 5], "don": 12, "done": [4, 12], "dot": 12, "doubt": 1, "download": 10, "dpi": 9, "draft": 1, "draw": [2, 3], "draw_count": 2, "drawn": 4, "dt": [9, 12], "dtdown": 9, "dtup": 9, "e": [1, 3, 4, 12], "each": [2, 4, 9, 10, 12], "earlier": 12, "eas": 10, "easier": [1, 11], "easili": [1, 12], "ecc": [2, 11], "ect": [0, 3, 4, 8, 13], "ect_arr": 10, "ect_graph": 2, "ect_matrix": 2, "ect_preprocess": 9, "edg": [1, 2, 3, 4, 9, 11], "edge_count": 2, "edge_g": 11, "either": [2, 4], "element": 9, "elizabeth": [0, 5, 9], "els": 9, "email": 5, "embed": [5, 8, 10, 13], "embed_cw": 3, "embed_graph": 4, "embedded_graph": 3, "embeddedcw": [2, 3, 8, 11], "embeddedgraph": [2, 3, 4, 8, 10, 11, 12], "empti": [3, 4, 11], "end": [9, 12], "endpoint": 9, "ensur": [1, 9], "entri": 2, "enumer": 9, "environ": 1, "ep": 9, "equal": [3, 4, 10], "equat": 9, "equival": 12, "error": 9, "essenti": 1, "etc": [4, 5], "euler": [0, 2, 9, 11, 12], "eventu": [4, 5], "everyth": 1, "exampl": [1, 3, 4, 10, 11, 12], "except": 9, "exist": [1, 4], "extract": [9, 10], "f": [9, 10, 11, 12], "f_": [9, 12], "f_finit": 9, "face": [2, 3, 11], "face_count": 2, "face_g": 11, "facecolor": 9, "fact": 3, "fals": [1, 2, 3, 4, 9, 10, 12], "famili": 9, "fcolor": 9, "featur": 1, "fern": 9, "fern_": 9, "fern_3pi_over_4_allthresh": 9, "fern_3pi_over_4_ecc": 9, "fern_3pi_over_4_thresh": 9, "fern_ect": 9, "fern_ect_cylind": 9, "few": 1, "fig": 9, "fight": 9, "figsiz": [9, 10], "figur": [3, 10], "file": [1, 5, 10], "file_nam": 10, "filenam": 10, "fill": [1, 3, 10], "find": [1, 4], "first": [1, 4], "fit": [4, 10], "fit_transform": 10, "fix": [1, 9, 12], "flattened_ect": 10, "float": [1, 2, 3, 4], "floor": 9, "fly": 12, "fmask": 9, "fmaskabov": 9, "fmaskbelow": 9, "folder": 1, "follow": [0, 1, 2, 6, 9, 11, 12], "font": 9, "fontsiz": 9, "fork": [1, 9], "format": 9, "found": [5, 7], "fourth": 9, "frac": [9, 12], "fraction": 9, "framework": 1, "from": [1, 2, 3, 4, 6, 9, 10, 11, 12], "full": [3, 7, 12], "func": 12, "func_valu": [1, 3, 4], "function": [1, 2, 3, 4, 9, 11, 12], "further": 11, "futur": [1, 9], "g": [1, 2, 3, 4, 9, 10, 13], "g_": [1, 3, 4, 11, 12], "g_omega": [4, 11, 12], "g_omega_edg": [4, 11], "g_omega_fac": [3, 11], "gca": [9, 10], "gcf": 9, "gener": [1, 3, 4, 7, 11], "get": [2, 9, 10, 12], "get_bounding_box": 4, "get_bounding_radiu": [4, 11, 12], "get_cent": 4, "get_centered_coordin": 4, "get_coordin": 4, "get_ect": [2, 12], "get_pca_coordin": 4, "get_radius_and_thresh": 2, "get_scaled_coordin": 4, "get_sect": 2, "get_size_inch": 9, "git": [5, 6], "github": [1, 5, 6], "give": [10, 12], "given": [1, 2, 3, 4, 11, 12], "gnu": 7, "go": 10, "goal": 5, "gplv3": 5, "grai": 9, "graph": [1, 3, 5, 8, 10, 11, 13], "grei": 9, "grid": 9, "group": 5, "gt": [9, 10, 11, 12], "guid": 1, "h": 9, "ha": 4, "habit": 1, "hashabl": 4, "hasn": 12, "have": [1, 2, 5, 6, 9, 10, 11, 12], "header": 10, "height": 9, "height_fig": 9, "help": [1, 4], "helvetica": 9, "henri": 10, "her": 5, "here": [5, 10, 11, 12], "hexcod": 10, "higher": [5, 6], "how": 11, "howev": [3, 11, 12], "html": 1, "http": 6, "i": [1, 2, 3, 4, 5, 9, 10, 11, 12], "ident": 4, "ii": 2, "im": 9, "imag": 10, "immedi": 11, "implicitli": 9, "import": [9, 10, 11, 12], "imread": 9, "imshow": 9, "includ": [1, 4, 5, 11], "increas": [1, 3, 4], "increment": 4, "indent": 1, "index": [1, 9], "inform": 1, "infti": 12, "initi": [3, 4, 10, 11, 12], "input": [2, 11, 12], "instal": [1, 9], "instanc": 4, "instead": 12, "int": [2, 4, 9], "int_": 12, "integ": [4, 12], "interest": 11, "interior": [3, 11], "intern": [2, 11, 12], "interv": 11, "intiat": 10, "intro": 12, "invit": [0, 5], "io": 5, "ipykernel_57600": 9, "ipympl": 9, "isfil": 10, "issu": 9, "ith": 2, "its": [3, 11], "j": [2, 9], "join": 10, "jth": 2, "jupyt": [5, 12], "just": [4, 9, 10, 11], "k": [9, 11], "k_": [2, 9], "k_a": 9, "kdc": 11, "keyword": 3, "know": 12, "kwarg": [3, 4], "l_2": 10, "label": [4, 9], "labelrot": 9, "langl": [4, 12], "leaf": [9, 10], "leaf_fil": 9, "leaf_img": 9, "leafbw": 9, "leav": 10, "left": 12, "legit": 3, "len": [9, 10], "let": [10, 11], "letter": 4, "level": 1, "like": [1, 3, 4], "linalg": 10, "line": [3, 9], "line2d": 9, "linestyl": 9, "linewidth": 9, "linspac": 9, "list": [1, 3, 4, 10, 11, 12], "listdir": 10, "liz": [1, 5, 10], "ll": 10, "load": 10, "loader": 10, "loadtxt": 10, "locat": 1, "look": [1, 3, 11], "lost": 1, "lot": 1, "lower": [4, 9], "lower_edg": 4, "lt": [9, 10, 11, 12], "lw": [9, 10], "m": [2, 9, 10, 12], "m_sect": 12, "maa": 9, "made": 9, "magma": 9, "main": 1, "maintain": 4, "make": [1, 2, 3, 4, 6, 10, 11, 12], "makefernp": 9, "makefernpicthreshold": 9, "mani": [1, 11], "manifold": 10, "manual": 2, "map": [4, 12], "mapsto": 12, "markdown": 1, "match": 1, "math": 1, "mathbb": 12, "mathemat": [0, 5], "matiss": 13, "matisse_ect": 10, "matplotlib": [3, 5, 9, 10, 12], "matrix": [2, 4, 9, 10, 11, 12], "matshow": [9, 10], "max": [1, 3, 4, 9, 10], "max_": 11, "maxcol": 9, "maximum": 4, "maxrow": 9, "maxx": 9, "mcenter": 9, "mcguir": 5, "md": 10, "mds_score": 10, "mean": [3, 4, 9, 10], "meng22": 9, "merg": 1, "mermaid": 13, "meshgrid": 9, "method": [2, 4, 12], "mid": [1, 3, 4], "midi": 9, "midx": 9, "might": [3, 4], "min": [4, 9, 10], "min_max": [3, 4, 10, 11, 12], "minimum": [4, 11], "minn": 9, "mint": 9, "misc": 9, "mix": 1, "mod": 9, "modul": 5, "moment": [1, 9], "monthli": [0, 5, 9], "more": [5, 11, 12], "mpl_toolkit": 9, "mplot3d": 9, "much": 1, "mult": 10, "multi": 10, "multipl": 4, "multipli": 9, "munch": [0, 1, 5, 9, 10], "munchlab": [5, 6], "must": [1, 2, 9, 12], "my_funct": 1, "myect": [10, 11, 12], "n": [4, 9], "n_compon": 10, "name": [4, 10], "nan": 9, "ncubic": 9, "ndarrai": [2, 4], "ndim": 9, "necessari": [2, 12], "need": [1, 11], "networkx": [4, 5, 12], "new": [1, 3, 4], "next": 4, "next_vert_nam": 4, "node": [4, 11, 12], "node_s": 10, "none": [2, 3, 4, 10, 12], "norm": [9, 10], "normal": [4, 9, 10], "normalized_stress": 10, "note": [1, 2, 3, 11, 12], "notebook": [5, 9, 10, 12], "now": [5, 9, 10, 12], "np": [2, 4, 9, 10, 11, 12], "num": 9, "num_dir": [2, 10, 11, 12], "num_thresh": [2, 10, 11, 12], "num_vert": 4, "numba": 5, "number": [1, 2, 4, 9, 10, 12], "numcircledir": 9, "numpi": [2, 4, 5, 9, 10, 11, 12], "numthresh": 9, "nx": [2, 4, 12], "o": 10, "object": [2, 3, 4, 12], "often": 12, "omega": [1, 3, 4, 9, 11, 12], "omega_i": 2, "omega_j": 2, "omegai": 9, "omegavec": 9, "onc": [1, 11, 12], "one": [4, 10, 11], "ones_lik": 9, "onlycolorbar": 9, "open": 1, "oper": [1, 9], "option": [2, 4], "orang": 9, "order": [1, 2, 3, 4], "ordin": 9, "origin": [2, 3, 4, 9, 10, 12], "other": [1, 11], "otherwis": 2, "our": 12, "out": [1, 9, 10], "outecc": 9, "outlin": [3, 10], "output": 12, "overallmax": 9, "overallmin": 9, "overlin": 12, "overwrit": [4, 12], "overwritten": 1, "packag": [5, 6, 10, 12], "pad": 9, "panda": 10, "paper": [9, 12], "parakeet": 13, "paramet": [1, 2, 3, 4], "pass": [1, 3, 11, 12], "path": 10, "pca": [4, 10], "pcolormesh": 9, "pd": 10, "pdf": 9, "peopl": 5, "pep": 1, "per": 9, "perf_count": 9, "perform": 9, "pi": [1, 2, 3, 4, 9, 11, 12], "pi_over_4": 9, "picki": 1, "pictur": 12, "pip": [1, 5, 6, 9], "pixel": 9, "plan": 1, "plane": 3, "pleas": [0, 1, 7], "plot": [2, 3, 4, 9, 10, 11, 12], "plot_fac": 3, "plot_surfac": 9, "plot_typ": 2, "plotecc": [2, 11, 12], "plotect": [2, 10, 11, 12], "plotsect": [2, 11], "plt": [9, 10, 12], "png": 9, "po": [4, 9], "point": [4, 11, 12], "posit": [2, 4, 9, 10], "possibl": 1, "post": 1, "postiv": 2, "precomput": 10, "prefix": 1, "preprocess": 10, "prerequisit": 1, "preserve_cent": [4, 12], "print": [9, 10, 11, 12], "product": 12, "project": [1, 5, 9, 10], "protect": 1, "provid": 1, "public": [0, 7], "purpos": 10, "push": 1, "py": [1, 9], "pyplot": [9, 10, 12], "pyproject": 1, "pytest": 1, "python": [1, 6], "quickli": 1, "r": [2, 9, 11, 12], "radian": 2, "radiu": [2, 4, 9, 10, 11, 12], "rais": 4, "random": 10, "random_st": 10, "rang": [2, 9, 10], "rangl": [4, 12], "rcparam": 9, "re": [4, 10], "reach": 4, "read": [7, 10], "read_csv": 10, "readabl": 1, "readi": 1, "red": 9, "redraw": 9, "region": [3, 11], "rel": 4, "relev": 1, "remov": 9, "repo": 5, "repositori": [1, 6], "repres": [2, 3, 4], "reproduc": 10, "rescal": [4, 12], "rescale_to_unit_disk": [4, 12], "research": 5, "reset": 4, "reset_po": 4, "reshap": 10, "restructuredtext": 1, "result": 2, "retriev": 10, "return": [1, 2, 3, 4, 9, 10, 11, 12], "return_count": 2, "return_g": [1, 3, 4], "review": 1, "right": [5, 9, 12], "rotat": 12, "round": 11, "row": [4, 9], "rst": 1, "run": [1, 6, 12], "same": [11, 12], "sarah": 5, "save": 12, "savefig": 9, "scalar": 9, "scalarmapp": 9, "scale": [4, 10], "scale_radiu": [4, 10], "scale_v": 10, "scatter": 9, "scipi": 10, "score": 10, "second": [1, 4, 9], "sect": [2, 11, 13], "sect_matrix": [2, 12], "see": [5, 11, 12], "select": 10, "self": [1, 2, 4], "sequenc": 4, "serif": 9, "set": [1, 2, 4, 9, 10, 11, 12], "set_arrai": 9, "set_aspect": 10, "set_axis_off": 9, "set_bad": 9, "set_bounding_radiu": [2, 10, 11, 12], "set_centered_coordin": [4, 11, 12], "set_coordin": 4, "set_edgecolor": 9, "set_figheight": 9, "set_figwidth": 9, "set_mean_centered_coordin": 12, "set_pca_coordin": [4, 10], "set_raster": 9, "set_scaled_coordin": 4, "set_size_inch": 9, "set_ticks_posit": 9, "set_titl": 9, "set_xtick": 9, "set_xticklabel": 9, "set_ytick": 9, "set_yticklabel": 9, "shape": [3, 9, 10, 12], "sharei": 9, "shift": 12, "should": [1, 2, 3, 4], "show": 11, "shown": 12, "sigma": [3, 11], "similarli": 11, "simpl": [1, 3, 4], "simpli": 6, "simplici": 5, "sin": [9, 12], "sinc": [1, 4, 12], "singl": [9, 11], "sin\u03b8": 9, "size": [2, 9, 12], "skeleton": 3, "sklearn": 10, "smooth": [2, 12], "so": [1, 3, 11, 12], "softwar": 7, "some": [1, 12], "someth": [9, 11], "sort": [1, 3, 4, 10], "sort_edg": [1, 4], "sort_fac": 3, "sort_vertic": 4, "sourc": [2, 3, 4, 5, 6], "spatial": 10, "specif": [2, 4, 12], "specifi": 12, "sphinx": 1, "squar": 9, "standard": [1, 10], "state": 10, "step": 9, "still": 3, "stop": [9, 11], "store": [2, 10, 12], "str": [2, 4, 9], "straight": 3, "strang": 3, "stuff": 5, "subject": 1, "subplot": 9, "sum": 9, "summari": 9, "support": 1, "sure": [1, 3, 6, 11], "surf": 9, "system": 1, "t": [2, 9, 12], "tab20b": 9, "take": [1, 11, 12], "taken": 10, "teaspoon": 9, "technic": 12, "templat": 1, "termin": 6, "test": [4, 9], "test_": 1, "test_my_funct": 1, "text": [7, 9, 10, 12], "texttt": 4, "tf": 9, "than": [1, 12], "thei": [1, 4], "them": 4, "theshold": 9, "theta": [1, 2, 3, 4, 9, 11, 12], "thetastr": 9, "thetastrsfil": 9, "thi": [1, 2, 4, 5, 9, 10, 11, 12], "thing": 1, "thorough": 12, "thresh": [2, 9, 12], "thresh_size_fig": 9, "threshold": [2, 10, 11, 12], "through": [11, 12], "tic": 9, "tick_param": 9, "tif": 9, "tifffil": 9, "tight": 9, "time": [9, 12], "titl": [9, 10], "tmp": 9, "to_rgba": 9, "toc": 9, "todo": [1, 3, 4, 12], "toml": 1, "too": 1, "tool": 5, "top": 1, "tracker": 1, "trans_sh": 10, "transform": [0, 2, 9, 11, 12], "translat": 10, "transpar": 9, "treatment": 12, "triangl": 11, "true": [1, 2, 3, 4, 9, 10, 11, 12], "tupl": [2, 4], "two": [1, 10], "txt": 10, "type": [2, 3, 4, 11, 12], "u": 4, "under": 5, "undirect": 12, "unit": 12, "unittest": 1, "unlik": 12, "up": [1, 3, 4, 12], "updat": [1, 9], "us": [0, 1, 2, 4, 5, 7, 9, 10, 11, 12], "usetex": 9, "v": [1, 3, 4, 11, 12], "v_list": 4, "valid": 3, "valu": [1, 2, 3, 4, 9, 10, 11, 12], "valueerror": 4, "vari": 2, "ve": 10, "vector": [4, 12], "version": [1, 5, 6, 7], "vert_g": 11, "vertex": [2, 3, 4, 11, 12], "vertex_count": 2, "vertex_nam": [1, 3, 4], "vertic": [2, 3, 4, 9, 11, 12], "via": [4, 10], "view": 1, "viridi": 9, "visual": [10, 12], "vmax": 9, "vmin": 9, "voxel": 5, "wa": [5, 9, 10, 11, 12], "wai": 1, "walk": [11, 12], "want": [3, 4, 12], "warn": 4, "we": [3, 4, 10, 11, 12], "websit": 5, "well": [1, 4], "what": 12, "when": [1, 11, 12], "where": [2, 3, 9, 11, 12], "whether": [1, 2, 3, 4], "which": [1, 3, 4, 12], "white": 9, "who": 5, "whose": 4, "why": 9, "widget": 9, "with_label": [4, 10], "within": 4, "without": 9, "work": [1, 3, 4], "would": 1, "write": [1, 12], "written": [1, 5, 10], "x": [2, 4, 9, 11, 12], "xaxi": 9, "xlabel": 9, "y": [2, 4, 9, 11], "yemeen": 5, "yet": [3, 11, 12], "ylabel": 9, "you": [1, 4, 5, 6, 9, 10, 11, 12], "your": [1, 9], "z": [4, 9, 12], "zero": [4, 10], "zip": 10, "zz": 4, "\u03b8": 9}, "titles": ["<span class=\"section-number\">6. </span>Citing", "<span class=\"section-number\">4. </span>Contributing to the <cite>ect</cite> Package", "<span class=\"section-number\">2.3. </span>ECT on Graphs", "<span class=\"section-number\">2.2. </span>Embedded CW complex", "<span class=\"section-number\">2.1. </span>Embedded graphs", "ect: Euler Characteristic Transform in Python", "<span class=\"section-number\">1. </span>Installation", "<span class=\"section-number\">5. </span>GPL-3.0 License", "<span class=\"section-number\">2. </span>Table of Contents", "Figure generation for <em>Invitation to the ECT</em>", "<span class=\"section-number\">3.3. </span>ECT on Matisse\u2019s \u201cThe Parakeet and the Mermaid\u201d", "<span class=\"section-number\">3.2. </span>Tutorial: ECT for CW complexes", "<span class=\"section-number\">3.1. </span>Tutorial : ECT for embedded graphs", "<span class=\"section-number\">3. </span>Tutorials"], "titleterms": {"": [9, 10], "0": 7, "3": 7, "The": 10, "acknowledg": 10, "author": 5, "characterist": 5, "cite": 0, "code": 1, "complex": [3, 11], "comput": 12, "conclus": 1, "construct": 12, "contact": 5, "content": [5, 8, 13], "contribut": 1, "cw": [3, 11], "cylind": 9, "depend": 5, "descript": 5, "direct": 9, "document": [1, 5], "draw": 9, "ecc": 9, "ect": [1, 2, 5, 6, 9, 10, 11, 12], "embed": [3, 4, 12], "erik": 9, "euler": 5, "figur": 9, "format": 1, "g": 12, "gener": 9, "get": [1, 5], "gpl": 7, "graph": [2, 4, 12], "guidelin": 1, "inform": 5, "instal": [5, 6], "invit": 9, "issu": 1, "let": 9, "licens": [5, 7], "make": 9, "matiss": 10, "mermaid": 10, "one": 9, "packag": 1, "parakeet": 10, "pictur": 9, "prerequisit": 6, "pull": 1, "python": 5, "request": 1, "sect": [9, 12], "start": [1, 5], "stuff": 9, "style": 1, "tabl": [5, 8], "test": 1, "threshold": 9, "track": 1, "transform": 5, "try": 9, "tutori": [5, 11, 12, 13], "uninstal": 6, "version": 9}})
\ No newline at end of file
+Search.setIndex({"alltitles": {"Acknowledgements": [[10, "Acknowledgements"]], "Authors": [[5, "authors"]], "Citing": [[0, "citing"]], "Code style and formatting": [[1, "code-style-and-formatting"]], "Computing the ECT of G": [[13, "Computing-the-ECT-of-G"]], "Conclusion": [[1, "conclusion"]], "Constructing the embedded graph": [[13, "Constructing-the-embedded-graph"]], "Contact Information": [[5, "contact-information"]], "Contents:": [[5, null], [15, null]], "Contributing Guidelines": [[1, "contributing-guidelines"]], "Contributing to the ect Package": [[1, "contributing-to-the-ect-package"]], "Dependencies": [[5, "dependencies"]], "Description": [[5, "description"]], "Documentation and tutorials": [[5, "documentation-and-tutorials"]], "Documentation guidelines": [[1, "documentation-guidelines"]], "ECC in one direction": [[9, "ECC-in-one-direction"]], "ECT": [[9, "ECT"]], "ECT on Graphs": [[2, "module-ect.ect_graph"]], "ECT on Matisse\u2019s \u201cThe Parakeet and the Mermaid\u201d": [[10, "ECT-on-Matisse's-%22The-Parakeet-and-the-Mermaid%22"]], "Embedded CW complex": [[3, "module-ect.embed_cw"]], "Embedded graphs": [[4, "module-ect.embed_graph"]], "Erik\u2019s version": [[9, "Erik's-version"]], "Figure generation for Invitation to the ECT": [[9, "Figure-generation-for-Invitation-to-the-ECT"]], "GPL-3.0 License": [[7, "gpl-3-0-license"]], "Getting Started": [[1, "getting-started"], [5, "getting-started"]], "Installation": [[6, "installation"]], "Installing": [[5, "installing"]], "Installing ect": [[6, "installing-ect"]], "Issue tracking and pull requests": [[1, "issue-tracking-and-pull-requests"]], "Let\u2019s draw a cylinder!": [[9, "Let's-draw-a-cylinder!"]], "License": [[5, "license"]], "Making pictures": [[9, "Making-pictures"]], "Modified version breaking the spiral": [[11, "Modified-version-breaking-the-spiral"]], "Prerequisites": [[6, "prerequisites"]], "SECT": [[9, "SECT"], [13, "SECT"]], "Table of Contents": [[5, "table-of-contents"], [8, "table-of-contents"]], "Testing guidelines": [[1, "testing-guidelines"]], "Thresholded Figure": [[9, "Thresholded-Figure"]], "Trying Erik\u2019s stuff": [[9, "Trying-Erik's-stuff"]], "Tutorial : ECT for embedded graphs": [[13, "Tutorial-:-ECT-for-embedded-graphs"]], "Tutorial for exact ECT computation": [[14, "Tutorial-for-exact-ECT-computation"]], "Tutorial: ECT for CW complexes": [[12, "Tutorial:-ECT-for-CW-complexes"]], "Tutorials": [[15, "tutorials"]], "Uninstalling ect": [[6, "uninstalling-ect"]], "ect: Euler Characteristic Transform in Python": [[5, "ect-euler-characteristic-transform-in-python"]]}, "docnames": ["citing", "contributing", "ect_on_graphs", "embed_cw", "embed_graph", "index", "installation", "license", "modules", "notebooks/CodingFiguresFern", "notebooks/Matisse/Matisse_ECT", "notebooks/Playing_with_Spirals", "notebooks/Tutorial-ECT_for_CW_Complexes", "notebooks/Tutorial-ECT_for_embedded_graphs", "notebooks/Tutorial-ExactECT", "tutorials"], "envversion": {"nbsphinx": 4, "sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "filenames": ["citing.rst", "contributing.rst", "ect_on_graphs.md", "embed_cw.md", "embed_graph.md", "index.rst", "installation.rst", "license.md", "modules.rst", "notebooks/CodingFiguresFern.ipynb", "notebooks/Matisse/Matisse_ECT.ipynb", "notebooks/Playing_with_Spirals.ipynb", "notebooks/Tutorial-ECT_for_CW_Complexes.ipynb", "notebooks/Tutorial-ECT_for_embedded_graphs.ipynb", "notebooks/Tutorial-ExactECT.ipynb", "tutorials.rst"], "indexentries": {"__init__() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.__init__", false]], "__init__() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.__init__", false]], "__init__() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.__init__", false]], "add_cycle() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_cycle", false]], "add_edge() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_edge", false]], "add_face() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.add_face", false]], "add_from_embedded_graph() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.add_from_embedded_graph", false]], "add_node() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_node", false]], "add_nodes_from() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.add_nodes_from", false]], "calculateecc() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.calculateECC", false]], "calculateect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.calculateECT", false]], "calculatesect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.calculateSECT", false]], "create_example_cw() (in module ect.embed_cw)": [[3, "ect.embed_cw.create_example_cw", false]], "create_example_graph() (in module ect.embed_graph)": [[4, "ect.embed_graph.create_example_graph", false]], "ect (class in ect.ect_graph)": [[2, "ect.ect_graph.ECT", false]], "ect.ect_graph": [[2, "module-ect.ect_graph", false]], "ect.embed_cw": [[3, "module-ect.embed_cw", false]], "ect.embed_graph": [[4, "module-ect.embed_graph", false]], "embeddedcw (class in ect.embed_cw)": [[3, "ect.embed_cw.EmbeddedCW", false]], "embeddedgraph (class in ect.embed_graph)": [[4, "ect.embed_graph.EmbeddedGraph", false]], "g_omega() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.g_omega", false]], "g_omega_edges() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.g_omega_edges", false]], "g_omega_faces() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.g_omega_faces", false]], "get_all_normals_matrix() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_all_normals_matrix", false]], "get_bounding_box() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_bounding_box", false]], "get_bounding_radius() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_bounding_radius", false]], "get_center() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_center", false]], "get_centered_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_centered_coordinates", false]], "get_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_coordinates", false]], "get_ect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.get_ECT", false]], "get_normals_dict() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_normals_dict", false]], "get_pca_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_PCA_coordinates", false]], "get_radius_and_thresh() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.get_radius_and_thresh", false]], "get_scaled_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.get_scaled_coordinates", false]], "get_sect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.get_SECT", false]], "lower_edges() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.lower_edges", false]], "module": [[2, "module-ect.ect_graph", false], [3, "module-ect.embed_cw", false], [4, "module-ect.embed_graph", false]], "next_vert_name() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.next_vert_name", false]], "plot() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plot", false]], "plot() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.plot", false]], "plot() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.plot", false]], "plot_angle_circle() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.plot_angle_circle", false]], "plot_bounding_circle() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.plot_bounding_circle", false]], "plot_faces() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.plot_faces", false]], "plotecc() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plotECC", false]], "plotect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plotECT", false]], "plotsect() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.plotSECT", false]], "rescale_to_unit_disk() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.rescale_to_unit_disk", false]], "set_bounding_radius() (ect.ect_graph.ect method)": [[2, "ect.ect_graph.ECT.set_bounding_radius", false]], "set_centered_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_centered_coordinates", false]], "set_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_coordinates", false]], "set_pca_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_PCA_coordinates", false]], "set_scaled_coordinates() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.set_scaled_coordinates", false]], "sort_edges() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.sort_edges", false]], "sort_faces() (ect.embed_cw.embeddedcw method)": [[3, "ect.embed_cw.EmbeddedCW.sort_faces", false]], "sort_vertices() (ect.embed_graph.embeddedgraph method)": [[4, "ect.embed_graph.EmbeddedGraph.sort_vertices", false]]}, "objects": {"ect": [[2, 0, 0, "-", "ect_graph"], [3, 0, 0, "-", "embed_cw"], [4, 0, 0, "-", "embed_graph"]], "ect.ect_graph": [[2, 1, 1, "", "ECT"]], "ect.ect_graph.ECT": [[2, 2, 1, "", "__init__"], [2, 2, 1, "", "calculateECC"], [2, 2, 1, "", "calculateECT"], [2, 2, 1, "", "calculateSECT"], [2, 2, 1, "", "get_ECT"], [2, 2, 1, "", "get_SECT"], [2, 2, 1, "", "get_radius_and_thresh"], [2, 2, 1, "", "plot"], [2, 2, 1, "", "plotECC"], [2, 2, 1, "", "plotECT"], [2, 2, 1, "", "plotSECT"], [2, 2, 1, "", "set_bounding_radius"]], "ect.embed_cw": [[3, 1, 1, "", "EmbeddedCW"], [3, 3, 1, "", "create_example_cw"]], "ect.embed_cw.EmbeddedCW": [[3, 2, 1, "", "__init__"], [3, 2, 1, "", "add_face"], [3, 2, 1, "", "add_from_embedded_graph"], [3, 2, 1, "", "g_omega_faces"], [3, 2, 1, "", "plot"], [3, 2, 1, "", "plot_faces"], [3, 2, 1, "", "sort_faces"]], "ect.embed_graph": [[4, 1, 1, "", "EmbeddedGraph"], [4, 3, 1, "", "create_example_graph"]], "ect.embed_graph.EmbeddedGraph": [[4, 2, 1, "", "__init__"], [4, 2, 1, "", "add_cycle"], [4, 2, 1, "", "add_edge"], [4, 2, 1, "", "add_node"], [4, 2, 1, "", "add_nodes_from"], [4, 2, 1, "", "g_omega"], [4, 2, 1, "", "g_omega_edges"], [4, 2, 1, "", "get_PCA_coordinates"], [4, 2, 1, "", "get_all_normals_matrix"], [4, 2, 1, "", "get_bounding_box"], [4, 2, 1, "", "get_bounding_radius"], [4, 2, 1, "", "get_center"], [4, 2, 1, "", "get_centered_coordinates"], [4, 2, 1, "", "get_coordinates"], [4, 2, 1, "", "get_normals_dict"], [4, 2, 1, "", "get_scaled_coordinates"], [4, 2, 1, "", "lower_edges"], [4, 2, 1, "", "next_vert_name"], [4, 2, 1, "", "plot"], [4, 2, 1, "", "plot_angle_circle"], [4, 2, 1, "", "plot_bounding_circle"], [4, 2, 1, "", "rescale_to_unit_disk"], [4, 2, 1, "", "set_PCA_coordinates"], [4, 2, 1, "", "set_centered_coordinates"], [4, 2, 1, "", "set_coordinates"], [4, 2, 1, "", "set_scaled_coordinates"], [4, 2, 1, "", "sort_edges"], [4, 2, 1, "", "sort_vertices"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "function", "Python function"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:function"}, "terms": {"": [1, 4, 11, 12, 13, 15], "0": [1, 2, 3, 4, 9, 10, 11, 12, 13, 14], "00": [9, 11], "00000000e": 9, "00029890": [0, 5], "00311595": 9, "00500167": 9, "00909174": 9, "01": 9, "01000334": 9, "02": 11, "0271": 9, "03": [9, 14], "03064257e": 9, "03413953": 14, "034139534781332": 14, "0344439357957027": 14, "03444394": 14, "035": 9, "03820664": 14, "04": [9, 11, 14], "05": 9, "05282835": 9, "05880414": 9, "0625": 9, "06315789": 13, "06477993": 9, "07": 9, "07075572": 9, "07101183": 9, "07368421": 13, "07698762": 9, "07718279e": 9, "08296341": 9, "0889392": 9, "09272788": 9, "09491499": 9, "09772955": 9, "09992015e": 9, "0x16b198290": 14, "0x30be90c90": 11, "0x3199f6190": 10, "0x73f16b12de10": 9, "0x73f16b1855d0": 9, "0x73f180e96250": 9, "1": [0, 3, 4, 5, 9, 10, 11, 12, 13, 14], "10": [0, 5, 9, 10, 11, 12, 13], "100": [9, 11, 12], "1000": 9, "101": 9, "103": 9, "10395": 9, "104": 9, "10482613": 9, "10508806": 13, "106": 9, "107": 9, "1080": [0, 5], "11": [9, 11, 12, 13], "110": 9, "11043152607484646": 13, "11043152607484658": 13, "11043152607484681": 13, "111": 9, "114": 9, "115": 9, "117": 9, "118": 9, "12": [9, 11, 13], "121": 9, "122": 9, "12336873e": 9, "124": 9, "125": 9, "127": 9, "128": 9, "129": 9, "13": [9, 11, 13], "132": [0, 5, 9], "1326758": 9, "133": 9, "135": 9, "136": 9, "13865159": 9, "139": 9, "14": [9, 10, 11, 13, 14], "140": 9, "14159265": [13, 14], "142": 9, "143": 9, "14462738": 9, "146": 9, "147": 9, "1470381530": 9, "149": 9, "15": [0, 5, 9, 11, 13], "150": [9, 10], "15060317": 9, "152": 9, "153": 9, "154": 9, "15683507": 9, "157": 9, "158": 9, "16": [9, 11, 13], "160": 9, "161": 9, "16281086": 9, "165": 9, "168": 9, "16878665": 9, "17": [9, 11, 14], "172": 9, "17476244": 9, "176": 9, "17603659": 14, "177": 9, "17809725": 13, "179": 9, "18": [9, 11, 12], "183": 9, "18545576": 9, "186": 9, "1875": 9, "18947368": 13, "19": [9, 11], "190": 9, "19045743": 9, "193": 9, "1952": 10, "197": 9, "2": [1, 2, 3, 4, 9, 10, 11, 12, 13, 14], "20": [9, 11, 13], "200": 9, "2000": 9, "2015621187164243": 13, "2023": 9, "2024": [0, 5, 9], "21": 11, "21849905": 9, "22": [9, 11], "22447484": 9, "23": 11, "23045063": 9, "23066002e": 9, "2310": 9, "23642642": 9, "23668253": 9, "24": [9, 11], "2409616": [0, 5], "24265832": 9, "24863411": 9, "25": [0, 5, 9, 11], "250": 9, "25261331": 9, "25339739e": 9, "2546099": 9, "255": 9, "259": 9, "26": [9, 11], "260": 9, "26058569": 9, "27": 11, "270": 9, "271": 9, "27318197": 9, "27613475e": 9, "27818364": 9, "279": 9, "28": [9, 11], "280": 9, "28318531": 9, "285": 9, "29": [9, 11], "29913915e": 9, "2d": [4, 5, 10, 13], "2pi": [4, 9], "2r": [12, 13], "3": [6, 9, 10, 11, 12, 13, 14], "30": 11, "300": [9, 10], "3043223": 9, "31": [9, 11], "310": 9, "31029808": 9, "3125": 9, "31578947": 13, "31627387": 9, "3196899": 13, "32": [9, 11, 14], "32175055": 14, "32250578": 9, "32848157": 9, "33": [9, 11], "3312945782245397": 13, "33445735": 9, "33582034e": 9, "34": [9, 10, 11], "34043314": 9, "35": [9, 11], "35074240e": 9, "35619449": [13, 14], "356194490192345": 9, "36": [9, 11, 14], "360": 9, "36590985": 9, "37": 11, "37091152": 9, "375": 9, "38": [9, 11], "38416975": 9, "39": [9, 10, 11, 12, 13, 14], "39014554": 9, "39269908": 13, "39612133": 9, "3d": [9, 10], "3pi_over_2": 9, "3pi_over_4": 9, "4": [9, 10, 11, 12, 13, 14], "402097119801482": 9, "40209712": 9, "40235323": 9, "40758582e": 9, "40832902": 9, "41": 11, "41430481": 9, "42": [9, 11], "4202806": 9, "42253678": 9, "42625639": 9, "42854650e": 9, "43": 9, "4375": 9, "44": 9, "44210526": 13, "45": 9, "45167": 9, "45863773": 9, "46": [9, 11, 14], "4633432079864352": 14, "46334321": 14, "4636394": 9, "46685171": 14, "46877882": 9, "469993": 9, "47": [9, 11, 14], "47596879": 9, "48194458": 9, "48538992e": 9, "48817648": 9, "49": [9, 11], "49415227": 9, "49778714": [13, 14], "497787143782138": [9, 14], "4f": 9, "5": [9, 10, 11, 12, 13, 14], "50": [9, 10, 11], "50012806": 9, "50610385": 9, "51": 9, "51207963": 9, "52": 11, "53": 9, "53175300e": 9, "53429174": 13, "53821": 9, "53822": 9, "53825": 9, "53826": 9, "53827": 9, "53828": 9, "53829": 9, "53830": 9, "53831": 9, "53832": 9, "54": 9, "54223334e": 9, "54478873": 9, "54636394": 9, "5497": 9, "54984045": 9, "55": 11, "55136561": 9, "5521576303742327": 13, "55359005": 14, "55581624": 9, "56": [9, 14], "56017471e": 9, "56179203": 9, "5625": 9, "56541488e": 9, "56776782": 9, "56842105": 13, "57": [9, 11], "57079633": 13, "57399972": 9, "57746322": 9, "57997551": 9, "5859513": 9, "59": [9, 11], "59192709": 9, "6": [9, 10, 11, 12, 13, 14], "60": [9, 11], "60844436": 14, "608444364956034": 14, "61": [9, 14], "625": 9, "63": 9, "6356637": 9, "63909182": 9, "64": 9, "64163949": 9, "64409349": 9, "64761528": 9, "65": [9, 11, 12], "65359107": 9, "65384718": 9, "65982297": 9, "66": 11, "66116035e": 9, "66579876": 9, "67": 9, "67177455": 9, "67775034": 9, "67794504": 14, "68": [9, 11, 14], "6875": 9, "68893688291087": 9, "69": 9, "69473684": 13, "6951827": 14, "695182703632018": 14, "7": [6, 9, 10, 11, 12, 13, 14], "71": [9, 11], "71238898": 13, "71238898038469": 9, "71551116": 9, "71800377e": 9, "72": [9, 11], "72148694": 9, "72746273": 9, "73": 11, "7318197": 9, "73343852": 9, "73682137": 9, "73967042": 9, "74": [9, 11], "74564621": 9, "74889357": 13, "75": 9, "751622": 9, "75759779": 9, "76167204": 9, "78": 9, "78539816": [13, 14], "7853981633974483": 9, "78754838e": 9, "79": [9, 11, 14], "7pi_over_4": 9, "8": [1, 9, 10, 11, 12, 13], "80": 12, "8013344": 9, "80731019": 9, "81": 9, "8125": 9, "81328598": 9, "81926177": 9, "81951788": 9, "81953769817878": 14, "8195377": 14, "81954591": 9, "82": [9, 11, 14], "82105263": 13, "82454758": 9, "82549367": 9, "83": 9, "83146946": 9, "83744525": 9, "841874542459709": 12, "84342104": 9, "85": [9, 11], "86": 9, "87": [9, 11], "87059265e": 9, "875": 9, "88": 9, "88715765": 9, "89": [9, 12, 14], "89048623": 13, "89254688": 14, "89313344": 9, "89517387": 9, "89661399": 14, "896613990462929": 14, "89910923": 9, "9": [9, 10, 11, 12, 13, 14], "90": 9, "900": 9, "90534113": 9, "91": 9, "91131692": 9, "91227379": 9, "91727546": 9, "91729271": 9, "92": 9, "92326849": 9, "9269908169872414": 14, "92699082": [13, 14], "93": [9, 11, 14], "9375": 9, "94": 9, "94736842": 13, "95": 9, "9597201": 9, "96": [9, 11], "96331881e": 9, "96349541": 13, "9670051": 9, "97": 9, "97298089": 9, "97895668": 9, "98": 9, "98493247": 9, "98518858": 9, "99": [9, 11], "99116437": 9, "99196": 9, "99714016": 9, "A": [1, 2, 3, 4, 5, 12, 13, 14], "And": 10, "As": 12, "Be": 1, "But": 12, "For": [1, 5, 10], "If": [1, 2, 3, 4, 13, 14], "In": 12, "It": 1, "THe": 9, "The": [0, 1, 2, 3, 4, 5, 7, 9, 12, 13, 14, 15], "Then": [4, 12, 13], "There": [1, 10], "To": [0, 1, 6, 9, 13], "_": 13, "__init__": [2, 3, 4], "__version__": 9, "_nocolorbar": 9, "_swap": 11, "a_i": 2, "a_j": 2, "aa": 4, "aaa": 4, "ab": 4, "abil": 12, "abl": 1, "about": 1, "abov": [9, 13], "access": 13, "accord": [1, 3, 4], "acknowledg": [1, 15], "across": 2, "actual": 13, "ad": [4, 11, 12], "add": [1, 3, 4, 11, 12], "add_cycl": [4, 10], "add_edg": [4, 11, 13, 14], "add_edges_from": 12, "add_fac": [3, 12], "add_from_embedded_graph": 3, "add_nod": [4, 11, 12, 13, 14], "add_nodes_from": 4, "add_subplot": 9, "addit": [3, 12], "adjac": 4, "advanc": 10, "after": 2, "agreement": 7, "align": [4, 10], "all": [1, 2, 4, 9, 10, 11, 12, 13, 14], "all_angl": 11, "all_angles_2pi": 11, "along": [1, 3, 4, 5], "alphabet": 4, "alreadi": [4, 12, 13], "also": [1, 3, 4, 12, 13, 14], "altern": [5, 6], "although": 1, "alwai": 1, "american": [0, 5], "an": [0, 1, 2, 3, 4, 5, 9, 10, 12, 13], "angl": [1, 2, 3, 4, 11, 14], "angle_labels_circl": [11, 14], "angles_dict": 14, "ani": [1, 4, 12, 14], "anoth": 13, "appear": [4, 9], "approv": 1, "ar": [1, 3, 4, 9, 10, 12, 13], "arang": 9, "argument": 3, "around": [3, 4, 9, 12], "arrai": [2, 4, 9, 10, 12, 13], "arxiv": 9, "arya": 11, "ask": 12, "aspect": 13, "assign": 4, "associ": 14, "assum": [1, 3, 12, 13], "attribut": [2, 4, 13], "auto": 10, "autogener": 1, "automat": 13, "avail": [2, 5, 14], "averag": [4, 9, 11, 13], "avgoveromega": 9, "ax": [3, 4, 9, 10, 11, 12, 13, 14], "axes3d": 9, "axesimag": 10, "axi": [2, 4, 9, 10, 12], "axvlin": 9, "ayub": 5, "b": [4, 11, 12, 13, 14], "backward": 9, "ball": 10, "base": [4, 10, 12], "bbox_inch": [9, 10], "becaus": 13, "been": [12, 13], "befor": [1, 2, 6, 7, 9], "begin": 13, "being": 4, "below": 1, "better": [1, 13], "between": [4, 10, 11], "bigger": 13, "bigval": 9, "bit": [1, 10, 12, 13], "bool": [1, 2, 3, 4], "both": [4, 9, 13], "bottom": 9, "bound": [2, 3, 4, 10, 12, 13], "bound_radiu": [2, 12, 13], "boundari": 3, "bounding_center_typ": 4, "bounding_circl": [3, 4, 10, 12, 13], "box": 4, "branch": 1, "browser": 1, "bug": 1, "build": 12, "built": [12, 13], "c": [4, 9, 10, 11, 12, 13, 14], "calcul": [2, 3, 4, 9, 10, 12, 13], "calculateecc": [2, 12, 13], "calculateect": [2, 10, 12, 13], "calculatesect": [2, 13], "call": [1, 2, 13], "can": [1, 2, 4, 5, 6, 7, 9, 10, 12, 13, 14], "care": [10, 12], "carefulli": 7, "case": [12, 14], "cd": [5, 6], "cell": [3, 9], "center": [2, 3, 4, 9, 10, 12, 13, 14], "center_typ": [3, 4, 10], "chain": 4, "chang": [1, 9], "characterist": [0, 2, 9, 12, 13], "check": [3, 12], "chi": [2, 9, 13], "chitwood": 10, "choos": [9, 13], "chosen": 13, "circl": [2, 4, 9, 11, 13, 14], "circle_dir": 9, "circledir": 9, "cite": 5, "class": [1, 2, 3, 4, 10, 12, 13, 14], "classifi": 10, "clean": 1, "clf": 9, "clone": [1, 5, 6], "close": 4, "cm": 9, "cmap": 9, "cmap_binari": 9, "cmap_viridi": 9, "co": [9, 13], "coars": 4, "code": [5, 9, 10, 13], "col": 9, "col_df": 10, "collabor": 5, "color": [4, 9, 10, 12, 13], "color_dimens": 9, "color_nodes_theta": [3, 4, 12, 13], "colorbar": [9, 11, 14], "colormap": 9, "column": [4, 11, 14], "com": [5, 6], "command": [1, 6, 12, 13, 14], "commit": 1, "comparison": 10, "complex": [2, 5, 8, 9, 15], "complexifi": 9, "complic": 12, "compon": 10, "comput": [2, 4, 5, 10, 12, 15], "compute_sect": [2, 13], "conf": 1, "connect": [4, 14], "consid": [2, 4], "consisst": 4, "construct": [2, 15], "contact": 1, "content": 1, "contribut": 5, "contributor": 1, "control": 12, "convers": 9, "convert": 13, "coord_matrix": 4, "coordiant": 4, "coordin": [3, 4, 10, 13], "copi": 9, "correct": 1, "correctli": 1, "correspond": 13, "cos\u03b8": 9, "could": 3, "count": [2, 4], "cours": 12, "crawford2019": 9, "creat": [1, 3, 4, 10, 11], "create_example_cw": [3, 8, 12], "create_example_graph": [4, 8, 11, 13, 14], "csv": 10, "cubic": 9, "cubicalcomplex": 9, "cumsum": 9, "current": [4, 10], "curv": [2, 13], "cutout": 10, "cw": [2, 8, 15], "cycl": [3, 4], "d": [4, 10, 11, 12, 13, 14], "da": 13, "dabegcf": 11, "dabgecf": 11, "dagbecf": 11, "dan": 10, "data": 10, "data_dir": 10, "datafram": 11, "date": 1, "deal": [1, 9], "debacfg": 11, "debacgf": 11, "debafcg": 11, "debxafcg": 11, "decid": 12, "decomposit": 10, "def": [1, 9, 10], "default": [2, 13], "defin": [4, 13], "delet": 1, "demet": 9, "deprec": 9, "deprecationwarn": 9, "descript": 1, "desir": 9, "detail": [5, 13], "develop": 1, "dgabecf": 11, "dgacbef": 11, "dgxacbef": 11, "dict": [3, 4, 11], "dict_kei": 11, "dictionari": [1, 3, 4, 13, 14], "differ": [3, 9], "digit": 4, "dimens": [9, 10], "dimension": [5, 10], "dir": 9, "direct": [1, 2, 3, 4, 10, 12, 13], "directli": [1, 5, 6, 13, 14], "directori": [1, 10], "discuss": 1, "disk": 4, "dissimilar": 10, "distanc": 10, "distance_matrix": 10, "do": [1, 3, 4, 5, 9, 14], "doc": 1, "doc_sourc": [1, 10], "docstr": 1, "doe": [3, 4, 12, 13], "doesn": [2, 14], "doi": [0, 5], "don": 13, "done": [4, 13], "dot": 13, "doubt": 1, "download": 10, "dpi": [9, 10], "draft": 1, "draw": [2, 3, 14], "draw_count": 2, "drawn": 4, "dt": [9, 13], "dtdown": 9, "dtup": 9, "dxabegcf": 11, "dxabgecf": 11, "dxagbecf": 11, "dxebacfg": 11, "dxebacgf": 11, "dxgabecf": 11, "dxgacbef": 11, "e": [1, 3, 4, 11, 13, 14], "each": [2, 4, 9, 10, 13], "earlier": 13, "eas": 10, "easier": [1, 12], "easili": [1, 13], "ebfacdg": 11, "ebfadcg": 11, "ebfaxcdg": 11, "ebfaxdcg": 11, "ecc": [2, 12], "ect": [0, 3, 4, 8, 11, 15], "ect_arr": 10, "ect_graph": 2, "ect_matrix": 2, "ect_preprocess": 9, "edbafcg": 11, "edbxafcg": 11, "edg": [1, 2, 3, 4, 9, 12, 14], "edge_count": 2, "edge_g": 12, "edges_onli": [4, 11], "efbacdg": 11, "efbacxdg": 11, "either": [2, 4], "element": 9, "elizabeth": [0, 5, 9], "els": 9, "email": 5, "embed": [5, 8, 10, 15], "embed_cw": 3, "embed_graph": 4, "embedded_graph": 3, "embeddedcw": [2, 3, 8, 11, 12, 14], "embeddedgraph": [2, 3, 4, 8, 10, 11, 12, 13, 14], "empti": [3, 4, 12], "end": [9, 13], "endpoint": 9, "ensur": [1, 9], "entri": 2, "enumer": 9, "environ": 1, "ep": 9, "equal": [3, 4, 10], "equat": 9, "equival": 13, "error": 9, "especi": 4, "essenti": 1, "etc": [4, 5], "euler": [0, 2, 9, 12, 13], "event": 4, "eventu": [4, 5], "everyth": 1, "exact": 15, "exampl": [1, 3, 4, 10, 11, 12, 13, 14], "except": 9, "exist": [1, 4], "extract": [9, 10, 14], "f": [9, 10, 11, 12, 13, 14], "f_": [9, 13], "f_finit": 9, "face": [2, 3, 12], "face_count": 2, "face_g": 12, "facecolor": 9, "fact": 3, "fals": [1, 2, 3, 4, 9, 10, 11, 13], "famili": 9, "fcebagd": 11, "fcebagxd": 11, "fcegbad": 11, "fcegbaxd": 11, "fcgebad": 11, "fcgebaxd": 11, "fcolor": 9, "featur": 1, "febacdg": 11, "febacxdg": 11, "febcagd": 11, "febcagxd": 11, "febcaxgd": 11, "fern": 9, "fern_": 9, "fern_3pi_over_4_allthresh": 9, "fern_3pi_over_4_ecc": 9, "fern_3pi_over_4_thresh": 9, "fern_ect": 9, "fern_ect_cylind": 9, "few": 1, "fgcabe": 11, "fgcabexd": 11, "fig": [4, 9, 11, 14], "fight": 9, "figsiz": [9, 10], "figur": [3, 10], "file": [1, 5, 10], "file_nam": 10, "filenam": 10, "fill": [1, 3, 10], "find": [1, 4, 14], "first": [1, 4], "fit": [4, 10], "fit_transform": 10, "fix": [1, 9, 13], "flattened_ect": 10, "float": [1, 2, 3, 4], "floor": 9, "fly": 13, "fmask": 9, "fmaskabov": 9, "fmaskbelow": 9, "folder": 1, "follow": [0, 1, 2, 6, 9, 12, 13], "font": 9, "fontsiz": 9, "fork": [1, 9], "format": 9, "found": [5, 7], "fourth": 9, "frac": [9, 13], "fraction": 9, "framework": 1, "from": [1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14], "full": [3, 7, 13], "func": 13, "func_valu": [1, 3, 4], "function": [1, 2, 3, 4, 9, 12, 13, 14], "further": 12, "futur": [1, 9], "g": [1, 2, 3, 4, 9, 10, 11, 14, 15], "g_": [1, 3, 4, 12, 13], "g_omega": [4, 12, 13], "g_omega_edg": [4, 12], "g_omega_fac": [3, 12], "gca": [9, 10], "gcdafb": 11, "gcdxafb": 11, "gcf": 9, "gcfabe": 11, "gcfabx": 11, "gcfadb": 11, "gcfaxb": 11, "gcfaxdb": 11, "gdcabef": 11, "gdcabf": 11, "gdcafb": 11, "gdcxafb": 11, "gdxcabef": 11, "gdxcabf": 11, "gener": [1, 3, 4, 7, 12], "get": [2, 4, 9, 10, 13, 14], "get_all_angl": 11, "get_all_normals_matrix": [4, 14], "get_bounding_box": 4, "get_bounding_radiu": [4, 12, 13], "get_cent": 4, "get_centered_coordin": 4, "get_coordin": 4, "get_ect": [2, 13], "get_normals_dict": [4, 14], "get_pca_coordin": 4, "get_radius_and_thresh": 2, "get_scaled_coordin": 4, "get_sect": 2, "get_size_inch": 9, "git": [5, 6], "github": [1, 5, 6], "give": [10, 13], "given": [1, 2, 3, 4, 12, 13, 14], "gnu": 7, "go": 10, "goal": [5, 14], "gplv3": 5, "grai": 9, "graph": [1, 3, 5, 8, 10, 11, 12, 14, 15], "grei": 9, "grid": 9, "group": 5, "gt": [9, 10, 11, 12, 13, 14], "guid": 1, "h": 9, "ha": 4, "habit": 1, "hashabl": 4, "hasn": 13, "have": [1, 2, 5, 6, 9, 10, 12, 13, 14], "head": 11, "header": 10, "height": 9, "height_fig": 9, "help": [1, 4, 14], "helvetica": 9, "henri": 10, "her": 5, "here": [5, 10, 12, 13], "hexcod": 10, "higher": [5, 6], "how": 12, "howev": [3, 12, 13], "html": 1, "http": 6, "i": [1, 2, 3, 4, 5, 9, 10, 11, 12, 13, 14], "ident": 4, "ii": 2, "im": 9, "imag": 10, "immedi": 12, "implicitli": 9, "import": [9, 10, 11, 12, 13, 14], "imread": 9, "imshow": 9, "includ": [1, 4, 5, 12, 14], "increas": [1, 3, 4], "increment": 4, "indent": 1, "index": [1, 9], "inform": [1, 14], "infti": 13, "initi": [3, 4, 10, 12, 13], "inplac": 11, "input": [2, 12, 13, 14], "instal": [1, 9], "instanc": 4, "instead": 13, "int": [2, 4, 9], "int_": 13, "integ": [4, 13], "interest": 12, "interior": [3, 12], "intern": [2, 12, 13], "interv": 12, "intiat": 10, "intro": 13, "invit": [0, 5], "io": 5, "ipykernel_57600": 9, "ipympl": 9, "isfil": 10, "issu": 9, "ith": 2, "its": [3, 12], "j": [2, 9], "join": [10, 11], "jth": 2, "jupyt": [5, 13], "just": [4, 9, 10, 12], "k": [9, 12], "k_": [2, 9], "k_a": 9, "kdc": 12, "kei": [4, 11, 14], "keyword": 3, "know": [4, 13], "kwarg": [3, 4], "l_2": 10, "label": [4, 9, 14], "labelrot": 9, "langl": [4, 13], "larg": 14, "leaf": [9, 10], "leaf_fil": 9, "leaf_img": 9, "leafbw": 9, "leav": 10, "left": 13, "legit": 3, "len": [9, 10, 11, 14], "let": [10, 12], "letter": 4, "level": 1, "like": [1, 3, 4], "linalg": 10, "line": [3, 4, 9], "line2d": 9, "linestyl": 9, "linewidth": 9, "linspac": 9, "list": [1, 3, 4, 10, 11, 12, 13, 14], "listdir": 10, "liz": [1, 5, 10], "ll": 10, "load": 10, "loader": 10, "loadtxt": 10, "locat": 1, "look": [1, 3, 12], "lost": 1, "lot": 1, "lower": [4, 9], "lower_edg": 4, "lt": [9, 10, 11, 12, 13, 14], "lw": [9, 10], "m": [2, 9, 10, 13, 14], "m_sect": 13, "maa": 9, "made": 9, "magma": 9, "main": 1, "maintain": 4, "make": [1, 2, 3, 4, 6, 10, 12, 13], "makefernp": 9, "makefernpicthreshold": 9, "mani": [1, 12], "manifold": 10, "manual": 2, "map": [4, 13], "mapsto": 13, "markdown": 1, "match": 1, "math": [1, 4], "mathbb": 13, "mathemat": [0, 5], "matiss": 15, "matisse_ect": 10, "matisse_md": 10, "matplotlib": [3, 5, 9, 10, 11, 13, 14], "matrix": [2, 4, 9, 10, 12, 13, 14], "matshow": [9, 10, 11, 14], "max": [1, 3, 4, 9, 10], "max_": 12, "maxcol": 9, "maximum": 4, "maxrow": 9, "maxx": 9, "mcenter": 9, "mcguir": 5, "md": 10, "mds_score": 10, "mean": [3, 4, 9, 10], "meng22": 9, "merg": 1, "mermaid": 15, "meshgrid": 9, "method": [2, 4, 13], "mid": [1, 3, 4], "midi": 9, "midpoint": 11, "midx": 9, "might": [3, 4], "min": [4, 9, 10], "min_max": [3, 4, 10, 13], "minimum": [4, 12], "minn": 9, "mint": 9, "misc": 9, "mix": 1, "mod": 9, "modul": 5, "moment": [1, 9], "monthli": [0, 5, 9], "more": [5, 12, 13, 14], "mpl_toolkit": 9, "mplot3d": 9, "much": 1, "mult": 10, "multi": 10, "multipl": 4, "multipli": 9, "munch": [0, 1, 5, 9, 10], "munchlab": [5, 6], "must": [1, 2, 9, 13], "my_funct": 1, "myect": [10, 12, 13], "n": [4, 9], "n_compon": 10, "name": [4, 10], "nan": [9, 14], "ncubic": 9, "ndarrai": [2, 4], "ndim": 9, "necessari": [2, 13], "need": [1, 12], "neg": 14, "networkx": [4, 5, 11, 13, 14], "new": [1, 3, 4], "next": 4, "next_vert_nam": 4, "node": [4, 11, 12, 13], "node_s": 10, "nodelist": 11, "non": 4, "none": [2, 3, 4, 10, 13], "norm": [9, 10], "normal": [4, 9, 10, 14], "normalized_stress": 10, "note": [1, 2, 3, 4, 12, 13, 14], "notebook": [5, 9, 10, 13], "now": [5, 9, 10, 13], "np": [2, 9, 10, 11, 12, 13, 14], "num": 9, "num_dir": [2, 10, 12, 13], "num_rounding_digit": [4, 11, 14], "num_thresh": [2, 10, 12, 13], "num_vert": 4, "numba": 5, "number": [1, 2, 4, 9, 10, 13], "numcircledir": 9, "numpi": [2, 4, 5, 9, 10, 11, 12, 13, 14], "numthresh": 9, "nx": [2, 4, 11, 13, 14], "o": 10, "object": [2, 3, 4, 13], "often": 13, "omega": [1, 3, 4, 9, 12, 13], "omega_i": 2, "omega_j": 2, "omegai": 9, "omegavec": 9, "onc": [1, 12, 13], "one": [4, 10, 12, 14], "ones_lik": 9, "onli": 4, "onlycolorbar": 9, "open": 1, "oper": [1, 9], "opposit": [4, 11, 14], "option": [2, 4], "orang": 9, "order": [1, 2, 3, 4, 14], "ordin": 9, "origin": [2, 3, 4, 9, 10, 13], "other": [1, 12], "other_kei": 11, "otherwis": 2, "our": 13, "out": [1, 9, 10], "outecc": 9, "outlin": [3, 10], "output": 13, "overallmax": 9, "overallmin": 9, "overlin": 13, "overrightarrow": 4, "overwrit": [4, 13], "overwritten": 1, "own": 14, "packag": [5, 6, 10, 13], "pad": 9, "pair": [4, 11, 14], "panda": [10, 11], "paper": [9, 13], "parakeet": 15, "paramet": [1, 2, 3, 4], "pass": [1, 3, 12, 13], "patch": [11, 14], "path": 10, "pca": [4, 10], "pcolormesh": 9, "pd": [10, 11], "pd_tabl": 11, "pdf": 9, "peopl": 5, "pep": 1, "per": 9, "perf_count": 9, "perform": 9, "pi": [1, 2, 3, 4, 9, 11, 12, 13], "pi_over_4": 9, "picki": 1, "pictur": 13, "pip": [1, 5, 6, 9], "pixel": 9, "plan": 1, "plane": 3, "pleas": [0, 1, 7], "plot": [2, 3, 4, 9, 10, 11, 12, 13, 14], "plot_angle_circl": [4, 14], "plot_bounding_circl": 4, "plot_fac": 3, "plot_surfac": 9, "plot_typ": 2, "plotecc": [2, 12, 13], "plotect": [2, 10, 12, 13], "plotsect": [2, 12], "plt": [4, 9, 10, 11, 13, 14], "png": [9, 10], "po": [4, 9], "point": [4, 12, 13], "posit": [2, 4, 9, 10], "possibl": 1, "post": 1, "postiv": 2, "precomput": 10, "prefix": 1, "preprocess": 10, "prerequisit": 1, "preserve_cent": [4, 13], "print": [9, 10, 12, 13, 14], "proce": 14, "product": 13, "progress": 14, "project": [1, 5, 9, 10], "protect": 1, "provid": 1, "public": [0, 7], "purpos": 10, "push": 1, "py": [1, 9], "pyplot": [9, 10, 11, 13, 14], "pyproject": 1, "pytest": 1, "python": [1, 6], "quickli": 1, "r": [2, 9, 12, 13], "radian": 2, "radiu": [2, 4, 9, 10, 12, 13], "rais": 4, "random": 10, "random_st": 10, "rang": [2, 4, 9, 10, 11, 14], "rangl": [4, 13], "rcparam": 9, "re": [4, 10], "reach": 4, "read": [7, 10], "read_csv": 10, "readabl": 1, "readi": 1, "recreat": 11, "red": 9, "redraw": 9, "region": [3, 12], "rel": 4, "relev": 1, "remov": [9, 11], "repeat": 14, "repo": 5, "repositori": [1, 6], "repres": [2, 3, 4], "reproduc": 10, "rescal": [4, 13], "rescale_to_unit_disk": [4, 13, 14], "research": 5, "reset": 4, "reset_po": 4, "reshap": 10, "restructuredtext": 1, "result": 2, "retriev": 10, "return": [1, 2, 3, 4, 9, 10, 12, 13, 14], "return_count": 2, "return_g": [1, 3, 4], "review": 1, "right": [5, 9, 13], "risk": 14, "rotat": 13, "round": [4, 11, 12, 14], "row": [4, 9, 14], "rst": 1, "run": [1, 6, 13], "same": [12, 13, 14], "sarah": 5, "save": 13, "savefig": [9, 10], "scalar": 9, "scalarmapp": 9, "scale": [4, 10], "scale_radiu": [4, 10], "scale_v": 10, "scatter": 9, "scipi": 10, "score": 10, "second": [1, 4, 9], "sect": [2, 12, 15], "sect_matrix": [2, 13], "section": 14, "see": [5, 12, 13], "select": 10, "self": [1, 2, 4], "sequenc": 4, "serif": 9, "set": [1, 2, 4, 9, 10, 12, 13, 14], "set_arrai": 9, "set_aspect": 10, "set_axis_off": [9, 11], "set_bad": 9, "set_bounding_radiu": [2, 10, 12, 13], "set_centered_coordin": [4, 12, 13], "set_coordin": 4, "set_edgecolor": 9, "set_figheight": 9, "set_figwidth": 9, "set_mean_centered_coordin": 13, "set_pca_coordin": [4, 10], "set_raster": 9, "set_scaled_coordin": 4, "set_size_inch": 9, "set_ticks_posit": 9, "set_titl": 9, "set_xtick": 9, "set_xticklabel": 9, "set_ytick": 9, "set_yticklabel": 9, "shape": [3, 9, 10, 13], "share": 4, "sharei": 9, "shift": 13, "should": [1, 2, 3, 4], "show": [12, 14], "shown": 13, "sigma": [3, 12], "similarli": 12, "simpl": [1, 3, 4, 14], "simpli": 6, "simplici": 5, "sin": [9, 13], "sinc": [1, 4, 13], "singl": [9, 12], "sin\u03b8": 9, "size": [2, 9, 13], "skeleton": 3, "sklearn": 10, "small": 14, "smooth": [2, 13], "so": [1, 3, 12, 13, 14], "softwar": 7, "some": [1, 13], "someth": [9, 12], "sort": [1, 3, 4, 10, 11], "sort_edg": [1, 4], "sort_fac": 3, "sort_valu": 11, "sort_vertic": [4, 11], "sorted_ord": 11, "sorted_order_at_next_midpoint": 11, "sourc": [2, 3, 4, 5, 6], "spatial": 10, "specif": [2, 4, 13], "specifi": 13, "sphinx": 1, "sprial": 11, "squar": 9, "standard": [1, 10], "state": 10, "step": 9, "still": 3, "stop": [9, 12], "store": [2, 10, 13], "str": [2, 4, 9], "straight": 3, "strang": 3, "stuff": 5, "subject": 1, "subplot": [4, 9, 11, 14], "sum": 9, "summari": 9, "super": 14, "support": 1, "sure": [1, 3, 6, 12], "surf": 9, "swap": 11, "switch": 4, "system": 1, "t": [2, 9, 13, 14], "tab20b": 9, "take": [1, 12, 13], "taken": 10, "teaspoon": 9, "technic": 13, "templat": 1, "tend": 14, "termin": 6, "test": [4, 9], "test_": 1, "test_my_funct": 1, "text": [7, 9, 10, 13], "texttt": 4, "tf": 9, "than": [1, 13, 14], "thei": [1, 4], "them": 4, "theshold": 9, "theta": [1, 2, 3, 4, 9, 12, 13], "thetastr": 9, "thetastrsfil": 9, "thi": [1, 2, 4, 5, 9, 10, 12, 13, 14], "thing": 1, "thorough": 13, "thresh": [2, 9, 13], "thresh_size_fig": 9, "threshold": [2, 10, 12, 13], "through": [12, 13], "tic": 9, "tick_param": 9, "tif": 9, "tifffil": 9, "tight": [9, 10], "time": [9, 13], "titl": [9, 10], "tmp": 9, "to_rgba": 9, "toc": 9, "todo": [1, 3, 4, 13], "toml": 1, "too": 1, "tool": [5, 14], "top": 1, "tracker": 1, "trans_sh": 10, "transform": [0, 2, 9, 12, 13], "translat": 10, "transpar": 9, "treatment": 13, "triangl": 12, "true": [1, 2, 3, 4, 9, 10, 11, 12, 13, 14], "try": 14, "tupl": [2, 4], "two": [1, 4, 10], "txt": 10, "type": [2, 3, 4, 13, 14], "u": 4, "unchang": 4, "under": 5, "undirect": 13, "unit": 13, "unittest": 1, "unless": 4, "unlik": 13, "up": [1, 3, 4, 13], "updat": [1, 9], "us": [0, 1, 2, 4, 5, 7, 9, 10, 12, 13, 14], "usag": 4, "usetex": 9, "v": [1, 3, 4, 12, 13], "v_list": 4, "valid": 3, "valu": [1, 2, 3, 4, 9, 10, 12, 13, 14], "valueerror": 4, "vari": 2, "ve": 10, "vector": [4, 13], "version": [1, 4, 5, 6, 7], "vert": 11, "vert_g": 12, "vertex": [2, 3, 4, 11, 12, 13], "vertex_count": 2, "vertex_nam": [1, 3, 4], "vertex_pair": 11, "vertic": [2, 3, 4, 9, 12, 13, 14], "via": [4, 10], "view": 1, "viridi": 9, "visual": [10, 13], "vmax": 9, "vmin": 9, "voxel": 5, "wa": [5, 9, 10, 12, 13], "wai": 1, "walk": [12, 13], "want": [3, 4, 13], "warn": [4, 14], "we": [3, 4, 10, 12, 13, 14], "websit": 5, "well": [1, 4, 14], "what": 13, "when": [1, 4, 12, 13], "where": [2, 3, 4, 9, 12, 13], "whether": [1, 2, 3, 4, 14], "which": [1, 3, 4, 13], "white": 9, "who": 5, "whose": 4, "why": 9, "widget": 9, "with_label": [4, 10], "within": 4, "without": 9, "work": [1, 3, 4, 14], "would": 1, "write": [1, 13], "written": [1, 5, 10], "x": [2, 4, 9, 11, 12, 13], "xaxi": 9, "xlabel": 9, "xtick": 14, "y": [2, 4, 9, 12], "yemeen": 5, "yet": [3, 12, 13], "ylabel": 9, "you": [1, 4, 5, 6, 9, 10, 12, 13], "your": [1, 9, 14], "ytick": 14, "z": [4, 9, 13], "zero": [4, 10], "zip": 10, "zz": 4, "\u03b8": 9}, "titles": ["<span class=\"section-number\">6. </span>Citing", "<span class=\"section-number\">4. </span>Contributing to the <cite>ect</cite> Package", "<span class=\"section-number\">2.3. </span>ECT on Graphs", "<span class=\"section-number\">2.2. </span>Embedded CW complex", "<span class=\"section-number\">2.1. </span>Embedded graphs", "ect: Euler Characteristic Transform in Python", "<span class=\"section-number\">1. </span>Installation", "<span class=\"section-number\">5. </span>GPL-3.0 License", "<span class=\"section-number\">2. </span>Table of Contents", "Figure generation for <em>Invitation to the ECT</em>", "<span class=\"section-number\">3.3. </span>ECT on Matisse\u2019s \u201cThe Parakeet and the Mermaid\u201d", "Modified version breaking the spiral", "<span class=\"section-number\">3.2. </span>Tutorial: ECT for CW complexes", "<span class=\"section-number\">3.1. </span>Tutorial : ECT for embedded graphs", "<span class=\"section-number\">3.4. </span>Tutorial for exact ECT computation", "<span class=\"section-number\">3. </span>Tutorials"], "titleterms": {"": [9, 10], "0": 7, "3": 7, "The": 10, "acknowledg": 10, "author": 5, "break": 11, "characterist": 5, "cite": 0, "code": 1, "complex": [3, 12], "comput": [13, 14], "conclus": 1, "construct": 13, "contact": 5, "content": [5, 8, 15], "contribut": 1, "cw": [3, 12], "cylind": 9, "depend": 5, "descript": 5, "direct": 9, "document": [1, 5], "draw": 9, "ecc": 9, "ect": [1, 2, 5, 6, 9, 10, 12, 13, 14], "embed": [3, 4, 13], "erik": 9, "euler": 5, "exact": 14, "figur": 9, "format": 1, "g": 13, "gener": 9, "get": [1, 5], "gpl": 7, "graph": [2, 4, 13], "guidelin": 1, "inform": 5, "instal": [5, 6], "invit": 9, "issu": 1, "let": 9, "licens": [5, 7], "make": 9, "matiss": 10, "mermaid": 10, "modifi": 11, "one": 9, "packag": 1, "parakeet": 10, "pictur": 9, "prerequisit": 6, "pull": 1, "python": 5, "request": 1, "sect": [9, 13], "spiral": 11, "start": [1, 5], "stuff": 9, "style": 1, "tabl": [5, 8], "test": 1, "threshold": 9, "track": 1, "transform": 5, "try": 9, "tutori": [5, 12, 13, 14, 15], "uninstal": 6, "version": [9, 11]}})
\ No newline at end of file
diff --git a/docs/tutorials.html b/docs/tutorials.html
index fcd47cd..7ce2c98 100644
--- a/docs/tutorials.html
+++ b/docs/tutorials.html
@@ -85,6 +85,7 @@
 <li class="toctree-l3"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l2"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="contributing.html">4. Contributing</a><ul>
@@ -143,6 +144,7 @@ <h1><span class="section-number">3. </span>Tutorials<a class="headerlink" href="
 <li class="toctree-l2"><a class="reference internal" href="notebooks/Matisse/Matisse_ECT.html#Acknowledgements">3.3.1. Acknowledgements</a></li>
 </ul>
 </li>
+<li class="toctree-l1"><a class="reference internal" href="notebooks/Tutorial-ExactECT.html">3.4. Tutorial for exact ECT computation</a></li>
 </ul>
 </div>
 </section>
diff --git a/ect/ect/embed_cw.py b/ect/ect/embed_cw.py
index 7c25e77..6be4687 100644
--- a/ect/ect/embed_cw.py
+++ b/ect/ect/embed_cw.py
@@ -105,13 +105,13 @@ def sort_faces(self, theta, return_g=False):
 
         .. math ::
 
-            g_\omega(\sigma) = \max \{ g_\omega(v) \mid  v \in \sigma \}
+            g_\\omega(\\sigma) = \\max \\{ g_\\omega(v) \\mid  v \\in \\sigma \\}
 
-        in the direction of :math:`\\theta \in [0,2\pi]` .
+        in the direction of :math:`\\theta \\in [0,2\\pi]` .
 
         Parameters:
             theta (float):
-                The angle in :math:`[0,2\pi]` for the direction to sort the edges.
+                The angle in :math:`[0,2\\pi]` for the direction to sort the edges.
             return_g (bool):
                 Whether to return the :math:`g(v)` values along with the sorted edges.
 
@@ -136,7 +136,7 @@ def plot_faces(self, theta=None, ax=None, **kwargs):
 
         Parameters:
             theta (float):
-                The angle in :math:`[0,2\pi]` for the direction to sort the edges.
+                The angle in :math:`[0,2\\pi]` for the direction to sort the edges.
             ax (matplotlib.axes.Axes):
                 The axes to plot the graph on. If None, a new figure is created.
             **kwargs:
diff --git a/ect/ect/embed_graph.py b/ect/ect/embed_graph.py
index 1768eb3..dee5293 100644
--- a/ect/ect/embed_graph.py
+++ b/ect/ect/embed_graph.py
@@ -26,7 +26,7 @@ def __init__(self):
 
     def add_node(self, vertex, x, y):
         """Add a vertex to the graph. 
-        If the vertex name is given as None, it will be assigned via the next_vert_name method.
+        If the vertex name is given as None, it will be assigned via the ``next_vert_name`` method.
 
         Parameters:
             vertex (hashable like int or str, or None) : The name of the vertex to add.
@@ -65,7 +65,7 @@ def next_vert_name(self, s, num_verts=1):
         """ 
         Making a simple name generator for vertices. 
         If you're using integers, it will just up the count by one. 
-        Letters will be incremented in the alphabet. If you reach 'Z', it will return 'AA'. If you reach 'ZZ', it will return 'AAA', etc.
+        Letters will be incremented in the alphabet. If you reach ``Z``, it will return ``AA``. If you reach ``ZZ``, it will return ``AAA``, etc.
 
         Parameters:
             s (str or int): The name of the vertex to increment.
@@ -182,7 +182,7 @@ def get_bounding_box(self):
         Method to find a bounding box of the vertex coordinates in the graph.
 
         Returns:
-            list: A list of tuples representing the minimum and maximum x and y coordinates.
+            list: A list of tuples representing the minimum and maximum :math:`x` and :math:`y` coordinates.
 
         """
         if not self.coordinates:
@@ -193,13 +193,13 @@ def get_bounding_box(self):
 
     def get_center(self, type='origin'):
         """
-        Calculate and return the center of the graph. This can be done by either returning the average of the coordiantes (`mean`), the center of the bounding box (`min_max`), or the origin (`origin`).
+        Calculate and return the center of the graph. This can be done by either returning the average of the coordiantes (``mean``), the center of the bounding box (``min_max``), or the origin (``origin``).
 
         Parameters:
-            type (str): The type of center to calculate. Options are 'mean', 'min_max', or 'origin'.
+            type (str): The type of center to calculate. Options are ``mean``, ``min_max``, or ``origin``.
 
         Returns:
-            numpy.ndarray: The (x, y) coordinates of the center.
+            numpy.ndarray: The :math:`(x, y)` coordinates of the center.
         """
         if not self.coordinates:
             return np.array([0.0, 0.0])
@@ -220,7 +220,7 @@ def get_bounding_radius(self, type='origin'):
         Method to find the radius of the bounding circle of the vertex coordinates in the graph. 
 
         Parameters:
-            type (str): The type of center to calculate the radius relative to. Options are 'mean', 'min_max', or 'origin'.
+            type (str): The type of center to calculate the radius relative to. Options are ``mean``, ``min_max``, or ``origin``.
 
         Returns:
             float: The radius of the bounding circle.
@@ -242,8 +242,8 @@ def get_centered_coordinates(self, type='min_max'):
         """
         Method to find the centered coordinates of the vertices in the graph.
 
-        If type is 'min_max', the coordinates are centered at the mean of the min and max values of the x and y coordinates.
-        If type is 'mean', the coordinates are centered at the mean of the x and y coordinates.
+        If type is ``min_max``, the coordinates are centered at the mean of the min and max values of the :math:`x` and :math:`y` coordinates.
+        If type is ``mean``, the coordinates are centered at the mean of the :math:`x` and :math:`y` coordinates.
         """
 
         if not self.coordinates:
@@ -261,7 +261,7 @@ def set_centered_coordinates(self, type='min_max'):
 
     def get_scaled_coordinates(self, radius=1):
         """
-        Method to find the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by `radius`.
+        Method to find the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by ``radius``.
 
         Parameters:
             radius (float):
@@ -284,12 +284,49 @@ def get_scaled_coordinates(self, radius=1):
 
     def set_scaled_coordinates(self, radius=1):
         """
-        Method to set the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by `radius`. Warning: This overwrites the original coordinates
+        Method to set the scaled coordinates of the vertices in the graph to fit in the disk centered at 0 with radius given by ``radius``. Warning: This overwrites the original coordinates
 
         """
 
         self.coordinates = self.get_scaled_coordinates(radius)
 
+    def rescale_to_unit_disk(self, preserve_center=True, center_type='origin'):
+        """
+        Rescales the graph coordinates to fit within a radius 1 disk.
+
+        Parameters:
+            preserve_center (bool): If True, maintains the current center point of type ``center_type``.
+                                    If False, centers the graph at (0, 0).
+
+        Returns:
+            self: Returns the instance for method chaining.
+
+        Raises:
+            ValueError: If the graph has no coordinates or all coordinates are identical.
+        """
+        if not self.coordinates:
+            raise ValueError("Graph has no coordinates to rescale.")
+
+        center = self.get_center(center_type)
+        coords = np.array(list(self.coordinates.values()))
+
+        coords_centered = coords - center
+
+        max_distance = np.max(np.linalg.norm(coords_centered, axis=1))
+
+        if np.isclose(max_distance, 0):
+            raise ValueError("All coordinates are identical. Cannot rescale.")
+
+        scale_factor = 1 / max_distance
+
+        new_coords = (coords_centered * scale_factor) + \
+            (center if preserve_center else 0)
+
+        for vertex, new_coord in zip(self.coordinates.keys(), new_coords):
+            self.coordinates[vertex] = tuple(new_coord)
+
+        return self
+
     def get_PCA_coordinates(self):
         """
         Method to find the PCA coordinates of the vertices in the graph.
@@ -317,9 +354,9 @@ def get_PCA_coordinates(self):
     def set_PCA_coordinates(self, center_type=None, scale_radius=None):
         """
         Method to set the PCA coordinates of the vertices in the graph which is helpful for coarse alignment. 
-        If you also want to center at zero, the options for `center_type` are `mean` or `min_max`.
-        Set `scale_radius` to a value to scale to a specific radius.
-        Warning: This overwrites the original coordinates
+        If you also want to center at zero, the options for ``center_type`` are ``mean`` or ``min_max``.
+        Set ``scale_radius`` to a value to scale to a specific radius.
+        Warning: This overwrites the original coordinates.
         """
         self.coordinates = self.get_PCA_coordinates()
 
@@ -329,14 +366,18 @@ def set_PCA_coordinates(self, center_type=None, scale_radius=None):
         if scale_radius:
             self.set_scaled_coordinates(radius=scale_radius)
 
+    # ================
+    # Functions for computing the function g(v) for vertices and edges
+    # ================
+
     def g_omega(self, theta):
         """
-        Function to compute the function :math:`g_\omega(v)` for all vertices :math:`v` in the graph in the direction of :math:`\\theta \in [0,2\pi]` . This function is defined by :math:`g_\omega(v) = \langle \\texttt{pos}(v), \omega \\rangle` .
+        Function to compute the function :math:`g_\\omega(v)` for all vertices :math:`v` in the graph in the direction of :math:`\\theta \\in [0,2\\pi]` . This function is defined by :math:`g_\\omega(v) = \\langle \\texttt{pos}(v), \\omega \\rangle` .
 
         Parameters:
 
             theta (float):
-                The angle in :math:`[0,2\pi]` for the direction to compute the :math:`g(v)` values.
+                The angle in :math:`[0,2\\pi]` for the direction to compute the :math:`g(v)` values.
 
         Returns:
 
@@ -374,15 +415,15 @@ def g_omega_edges(self, theta):
 
     def sort_vertices(self, theta, return_g=False):
         """
-        Function to sort the vertices of the graph according to the function g_omega(v) in the direction of theta \in [0,2*np.pi].
+        Function to sort the vertices of the graph according to the function `g_omega(v)` in the direction of :math:`\\theta \\in [0,2\\pi]`.
 
         TODO: eventually, do we want this to return a sorted list of g values as well? Since we're already doing the sorting work, it might be helpful.
 
         Parameters:
             theta (float):
-                The angle in [0,2*np.pi] for the direction to sort the vertices.
+                The angle in :math:`[0,2 \\pi]` for the direction to sort the vertices.
             return_g (bool):
-                Whether to return the g(v) values along with the sorted vertices.
+                Whether to return the :math:`g(v)` values along with the sorted vertices.
 
         Returns:
             list
@@ -406,13 +447,13 @@ def sort_edges(self, theta, return_g=False):
 
         .. math ::
 
-            g_\omega(e) = \max \{ g_\omega(v) \mid  v \in e \}
+            g_\\omega(e) = \\max \\{ g_\\omega(v) \\mid  v \in e \\}
 
-        in the direction of :math:`\\theta \in [0,2\pi]` .
+        in the direction of :math:`\\theta \\in [0,2\\pi]` .
 
         Parameters:
             theta (float):
-                The angle in :math:`[0,2\pi]` for the direction to sort the edges.
+                The angle in :math:`[0,2\\pi]` for the direction to sort the edges.
             return_g (bool):
                 Whether to return the :math:`g(v)` values along with the sorted edges.
 
@@ -433,7 +474,7 @@ def sort_edges(self, theta, return_g=False):
 
     def lower_edges(self, v, omega):
         """
-        Function to compute the number of lower edges of a vertex v for a specific direction (included by the use of sorted v_list).
+        Function to compute the number of lower edges of a vertex `v` for a specific direction (included by the use of sorted `v_list`).
 
         Parameters:
             v (str):
@@ -450,9 +491,109 @@ def lower_edges(self, v, omega):
         Lg = [np.dot(self.coordinates[v], omega) for v in L]
         return sum(n >= gv for n in Lg)  # includes possible duplicate counts
 
+    # ================
+    # Functions for getting the angles where vertices switch order
+    # ================
+
+    def get_all_normals_matrix(self, num_rounding_digits=None):
+        """
+        Function to get all angles of normals to any line between vertices in the graph, returned as a matrix. Note this includes both adjacent vertices and non-adjacent. This function is useful for knowing the angle of the circle where two vertices switch in order. 
+
+        Parameters:
+            num_rounding_digits (int):
+                The number of digits to round the angles in the matrix. If `None`, no rounding is done. 
+
+        Returns:
+            A tuple consissting of a matrix of angles, and the sorted label list for the rows/columns.
+        """
+        P = np.array(list(self.coordinates.values()))
+        labels = list(self.coordinates.keys())
+
+        # Make rows of repeated copies of first column of P
+        X_Cols = np.tile(P[:, 0], (P.shape[0], 1)).T
+        X_diff = X_Cols - X_Cols.T  # The x value of the vector from A to B
+
+        # Make rows of repeated copies of second column of P
+        Y_Cols = np.tile(P[:, 1], (P.shape[0], 1)).T
+        Y_diff = Y_Cols - Y_Cols.T
+
+        # Convert to float to allow NaN assignment
+        X_diff = X_diff.astype(float)
+        Y_diff = Y_diff.astype(float)
+
+        # Set diagonals to nan
+        np.fill_diagonal(X_diff, np.nan)
+        np.fill_diagonal(Y_diff, np.nan)
+
+        angle_matrix = np.arctan2(X_diff, -Y_diff)
+        # Puts all entries between 0 and 2pi
+        angle_matrix = angle_matrix % (2*np.pi)
+        if num_rounding_digits != None:
+            angle_matrix = np.round(angle_matrix, num_rounding_digits)
+
+        return angle_matrix, labels
+
+    def get_normals_dict(self,
+                         num_rounding_digits=None,
+                         edges_only=False,
+                         opposites=False):
+        """
+        Function to get all angles of normals to any line between vertices in the graph, returned as a dictionary of angles with ``dict[theta]`` returning the list of pairs of vertices with vector normal to :math:`\\overrightarrow{AB}` at angle ``theta``. Note this includes both adjacent vertices and non-adjacent unless ``edges_only`` is set to ``True``. This function is useful for knowing the angle of the circle where two vertices switch in order, especially when we want to sort the events around the circle. All angles are rounded to the number of digits given by ``num_rounding_digits``, and are returned in the range :math:`[0, 2\\pi]` .
+
+        Parameters:
+            num_rounding_digits (int):
+                The number of digits to round the angles in the dictionary. If None, no rounding is done.
+            edges_only (bool):
+                If True, the dictionary version only returns the angle of the normals to the lines between vertices sharing an edge. The matrix version is unchanged.
+            opposites (bool):
+                If True, will also include both :math:`\\theta` and :math:`\\theta + \\pi` in the dictionary keys.
+
+        Returns:
+            dict: A dictionary of angles with `dict[theta]` returning the list of pairs of vertices with vector normal to :math:`\\overrightarrow\\{AB\\}` at angle `theta`, e.g. ``dict[theta] = [('A','B'), ('C', 'D')]``.
+        """
+
+        angle_matrix, labels = self.get_all_normals_matrix(
+            num_rounding_digits=num_rounding_digits)
+
+        angle_dict = {}
+        for i in range(len(labels)):
+            for j in range(i+1, len(labels)):
+                # Skip this edge if edges_only is True and the vertices are not connected
+                if edges_only and not self.has_edge(labels[i], labels[j]):
+                    continue
+
+                if angle_matrix[i, j] in angle_dict.keys():
+                    angle_dict[angle_matrix[i, j]].append(
+                        (labels[i], labels[j]))
+                elif angle_matrix[j, i] in angle_dict.keys():
+                    angle_dict[angle_matrix[j, i]].append(
+                        (labels[j], labels[i]))
+                else:
+                    angle_dict[angle_matrix[i, j]] = [
+                        (labels[i], labels[j])]
+
+        if opposites:
+            for key in list(angle_dict.keys()):
+                other_key = key + np.pi % (2*np.pi)
+                if num_rounding_digits != None:
+                    other_key = round(other_key, num_rounding_digits)
+                angle_dict[other_key] = angle_dict[key]
+
+        # Make sure all keys are in the range [0, 2pi]
+        angle_dict = {key % (2*np.pi): value for key,
+                      value in angle_dict.items()}
+
+        # Make sure all keys are rounded to the correct number of digits
+        if num_rounding_digits != None:
+            angle_dict = {round(key, num_rounding_digits)                          : value for key, value in angle_dict.items()}
+
+        return angle_dict
+
+    # ================
+    # Plotting functions
+    # ================
     def plot(self,
              bounding_circle=False,
-             bounding_center_type='origin',
              color_nodes_theta=None,
              ax=None,
              with_labels=True,
@@ -460,12 +601,13 @@ def plot(self,
         """
         Function to plot the graph with the embedded coordinates.
 
-        If ``bounding_circle`` is True, a bounding circle is drawn around the graph. This is centered at the center type defined by ``bounding_center_type``.
+        If ``bounding_circle`` is True, a bounding circle is drawn around the graph.
 
-        If ``color_nodes_theta`` is not None, it should be given as a theta in :math:`[0,2\pi]`. Then the nodes are colored according to the :math:`g(v)` values in the direction of theta.
+        If ``color_nodes_theta`` is not ``None``, it should be given as a :math:`theta` in :math:`[0,2\\pi]`. Then the nodes are colored according to the :math:`g(v)` values in the direction of :math:`\\theta`.
 
-        If with_labels is True, the nodes are labeled with their names.
+        If ``with_labels`` is ``True``, the nodes are labeled with their names.
 
+        If ``ax`` is not ``None``, the plot is drawn on the given axis.
         """
         if ax is None:
             fig, ax = plt.subplots()
@@ -493,55 +635,95 @@ def plot(self,
                        labelleft=True, labelbottom=True)
 
         if bounding_circle:
-            circle_center = self.get_center(bounding_center_type)
-            r = self.get_bounding_radius(type=bounding_center_type)
-            circle = plt.Circle(circle_center, r, fill=False,
-                                linestyle='--', color='r')
-            ax.add_patch(circle)
-
-            # Always adjust the plot limits to show the full graph
-            ax.set_xlim(circle_center[0] - r, circle_center[0] + r)
-            ax.set_ylim(circle_center[1] - r, circle_center[1] + r)
+            self.plot_bounding_circle(ax=ax)
+
         ax.set_aspect('equal', 'box')
 
         return ax
 
-    def rescale_to_unit_disk(self, preserve_center=True, center_type='origin'):
+    def plot_bounding_circle(self, ax=None, bounding_center_type='origin', **kwargs):
         """
-        Rescales the graph coordinates to fit within a radius 1 disk.
+        Function to plot the bounding circle of the graph. 
 
-        Parameters:
-            preserve_center (bool): If True, maintains the current center point of type ``center_type``.
-                                    If False, centers the graph at (0, 0).
+        If ``ax`` is not None, the plot is drawn on the given axis.
+
+        If ``bounding_center_type`` is 'origin', the bounding circle is centered at the origin. If it is ``min_max``, the bounding circle is centered at the mean of the min and max values of the :math:`x` and :math`y` coordinates.
 
-        Returns:
-            self: Returns the instance for method chaining.
 
-        Raises:
-            ValueError: If the graph has no coordinates or all coordinates are identical.
         """
-        if not self.coordinates:
-            raise ValueError("Graph has no coordinates to rescale.")
+        if ax is None:
+            fig, ax = plt.subplots()
+        else:
+            fig = ax.get_figure()
 
-        center = self.get_center(center_type)
-        coords = np.array(list(self.coordinates.values()))
+        circle_center = self.get_center(bounding_center_type)
+        r = self.get_bounding_radius(type=bounding_center_type)
+        circle = plt.Circle(circle_center, r, fill=False,
+                            linestyle='--', color='r')
+        ax.add_patch(circle)
 
-        coords_centered = coords - center
+        # Always adjust the plot limits to show the full graph
+        ax.set_xlim(circle_center[0] - r, circle_center[0] + r)
+        ax.set_ylim(circle_center[1] - r, circle_center[1] + r)
 
-        max_distance = np.max(np.linalg.norm(coords_centered, axis=1))
+    def plot_angle_circle(self, ax=None, edges_only=False):
+        """
+        Function to plot the circle of angles for the graph. 
 
-        if np.isclose(max_distance, 0):
-            raise ValueError("All coordinates are identical. Cannot rescale.")
+        Example Usage: 
 
-        scale_factor = 1 / max_distance
+        .. code-block:: python
 
-        new_coords = (coords_centered * scale_factor) + \
-            (center if preserve_center else 0)
+            fig, ax = plt.subplots()
+            G.plot(ax = ax)
+            G.plot_angle_circle(ax = ax)
 
-        for vertex, new_coord in zip(self.coordinates.keys(), new_coords):
-            self.coordinates[vertex] = tuple(new_coord)
+        """
+        if ax is None:
+            fig, ax = plt.subplots()
+        else:
+            fig = ax.get_figure()
 
-        return self
+        circle_center = self.get_center(type='min_max')
+        r = 1.3 * self.get_bounding_radius(type='min_max')
+        circle = plt.Circle(circle_center, r, fill=False,
+                            linestyle='--', color='black')
+        ax.add_patch(circle)
+
+        # Get all the angles with the labels to be drawn
+        angles_dict = self.get_normals_dict(
+            edges_only=edges_only, opposites=True)
+        angles_dict_labels = {key: ', '.join(
+            [f"{a[0]}{a[1]}" for a in value]) for key, value in angles_dict.items()}
+
+        # Draw hash marks on the circle
+        hash_length = 0.1*r  # Length of the hash marks
+        for angle in angles_dict_labels.keys():
+            x_start = circle_center[0] + \
+                (r-hash_length) * np.cos(angle)
+            y_start = circle_center[1] + \
+                (r-hash_length) * np.sin(angle)
+            x_end = circle_center[0] + \
+                (r + hash_length) * np.cos(angle)
+            y_end = circle_center[1] + \
+                (r + hash_length) * np.sin(angle)
+            ax.plot([x_start, x_end], [y_start, y_end], color='black')
+
+            # Add labels near the hash marks
+            scaling = 3
+            label_x = circle_center[0] + \
+                (r + scaling * hash_length) * np.cos(angle)
+            label_y = circle_center[1] + \
+                (r + scaling * hash_length) * np.sin(angle)
+            text_angle = angle if angle <= np.pi/2 or angle >= 3*np.pi/2 else angle - np.pi
+            ax.text(label_x, label_y,
+                    angles_dict_labels[angle], ha='center', va='center', rotation=np.degrees(text_angle), fontsize=8)
+        # Always adjust the plot limits to show the full graph
+        scale_factor = 1.5
+        ax.set_xlim(circle_center[0] - scale_factor*r,
+                    circle_center[0] + scale_factor*r)
+        ax.set_ylim(circle_center[1] - scale_factor*r,
+                    circle_center[1] + scale_factor*r)
 
 
 def create_example_graph(centered=True, center_type='min_max'):
diff --git a/logo/ECT_Logo.svg b/logo/ECT_Logo.svg
index 448e953..7be05c3 100644
--- a/logo/ECT_Logo.svg
+++ b/logo/ECT_Logo.svg
@@ -1,16 +1,16 @@
 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
 <svg
    width="328pt"
-   height="245pt"
-   viewBox="0 0 328.00001 244.99999"
+   height="328pt"
+   viewBox="0 0 328.00001 327.99999"
    version="1.1"
    id="svg69"
    sodipodi:docname="ECT_Logo.svg"
    xml:space="preserve"
    inkscape:version="1.3.2 (091e20e, 2023-11-25)"
-   inkscape:export-filename="ECT_Logo.png"
-   inkscape:export-xdpi="100"
-   inkscape:export-ydpi="100"
+   inkscape:export-filename="ECT_Logo_64x64.png"
+   inkscape:export-xdpi="14.04878"
+   inkscape:export-ydpi="14.04878"
    xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
    xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
    xmlns:xlink="http://www.w3.org/1999/xlink"
@@ -30,7 +30,7 @@
      inkscape:document-units="pt"
      inkscape:zoom="2.2954938"
      inkscape:cx="352.2118"
-     inkscape:cy="239.16423"
+     inkscape:cy="203.8777"
      inkscape:window-width="3440"
      inkscape:window-height="1317"
      inkscape:window-x="2560"
@@ -131,7 +131,21 @@
        y1="59.802441"
        x2="367.37613"
        y2="59.802441"
-       gradientUnits="userSpaceOnUse" /></defs><g
+       gradientUnits="userSpaceOnUse" /><linearGradient
+       inkscape:collect="always"
+       xlink:href="#linearGradient83"
+       id="linearGradient5"
+       gradientUnits="userSpaceOnUse"
+       x1="168.0296"
+       y1="215.55516"
+       x2="217.71107"
+       y2="139.99313" /></defs><rect
+     style="fill:#cececf;fill-opacity:1;stroke:#f3f0f0;stroke-width:2.457;stroke-linecap:round;stroke-linejoin:round"
+     id="rect1"
+     width="107.49321"
+     height="94.750854"
+     x="473.42755"
+     y="30.385614" /><g
      id="g87"
      transform="translate(-484.83565,45.741479)"
      style="fill:#000000;fill-opacity:1"><path
@@ -176,7 +190,7 @@
      id="path91"
      sodipodi:nodetypes="cc" /><g
      id="g96"
-     transform="translate(-483.01071,44.923483)"><g
+     transform="translate(-483.01071,86.423483)"><g
        id="g94"
        transform="translate(411.65761,-96.734059)"
        style="fill:#000000;fill-opacity:1"><path
@@ -203,11 +217,42 @@
      xml:space="preserve"
      style="font-size:78.6121px;fill:#3c609e;fill-opacity:1;stroke:#f3f0f0;stroke-width:2.457;stroke-linecap:round;stroke-linejoin:round;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1"
      x="205.62042"
-     y="90.316605"
+     y="126.88726"
      id="text96"
      transform="scale(0.88122063,1.1347896)"><tspan
        sodipodi:role="line"
        id="tspan96"
        style="font-style:normal;font-variant:normal;font-weight:bold;font-stretch:normal;font-size:78.6121px;font-family:'Noto Sans Mongolian';-inkscape-font-specification:'Noto Sans Mongolian';fill:#3c609e;fill-opacity:1;stroke:#f3f0f0;stroke-width:2.457;stroke-dasharray:none;stroke-dashoffset:0;stroke-opacity:1"
        x="205.62042"
-       y="90.316605">ECT</tspan></text></svg>
+       y="126.88726">ECT</tspan></text><rect
+     style="fill:#cececf;fill-opacity:1;stroke:#f3f0f0;stroke-width:2.457;stroke-linecap:round;stroke-linejoin:round"
+     id="rect2"
+     width="82.33522"
+     height="11.435448"
+     x="511.00116"
+     y="164.67046" /><g
+     id="g5"
+     transform="translate(-417.01184,366.42294)"><g
+       id="g3"
+       transform="translate(411.65761,-96.734059)"
+       style="fill:#000000;fill-opacity:1"><path
+         d="m 242.43785,214.40492 c 4.92012,-9.24775 21.03149,-15.68249 34.63787,-15.96666 13.60638,-0.28417 31.03953,0.769 40.21835,-9.68242 9.17882,-10.45142 34.3165,-10.85074 30.3402,-22.08748 -3.9763,-11.23674 -34.31414,1.83089 -30.62195,-6.63916 3.69219,-8.47005 16.06446,-21.30603 -0.25523,-17.38758 -16.31969,3.91845 -29.81935,13.33502 -39.16739,19.81114 -9.34804,6.47612 -29.44493,21.18494 -27.39482,8.41775 2.05011,-12.76719 19.1382,-20.77472 28.35998,-30.72259 9.22178,-9.94787 18.20384,-21.15525 25.95032,-31.04681 7.74648,-9.891562 7.27404,-23.976448 -3.42146,-25.798085 -10.6955,-1.821637 -6.83784,-2.015056 -17.39143,-0.491948 -10.55359,1.523108 2.80718,-8.557064 7.46294,-15.929311 4.65576,-7.372247 0.64699,-17.055695 -11.11386,-9.816557 -11.76085,7.239138 -30.30961,16.74609 -27.04884,32.58512 3.26077,15.839031 -6.30106,28.114401 -6.96734,42.121481 -0.66628,14.00708 -9.48376,30.49106 -8.96835,37.07343 0.51541,6.58238 3.40377,25.86115 0,28.27968 -3.40377,2.41853 -5.41331,-9.8922 -9.96445,-18.05696 -4.55114,-8.16476 -5.94478,-25.30266 -6.07722,-36.32208 -0.13244,-11.01942 -3.994,-20.65894 -3.68872,-25.00953 0.30527,-4.35058 2.83658,-44.318654 0,-48.217581 -2.83658,-3.898927 -29.23118,-12.373672 -28.63699,2.080081 0.59419,14.453753 -25.85097,2.718534 -26.84288,17.97313 -0.99191,15.2546 13.26717,21.28347 19.29584,32.47458 6.02867,11.19111 11.63276,22.6567 18.36633,31.82026 6.73357,9.16356 10.51073,39.62525 1.32168,31.75123 -9.18905,-7.87402 -7.66171,-24.48249 -12.16454,-35.36332 -4.50283,-10.88083 -14.00771,-15.97517 -21.56224,-23.87492 -7.55453,-7.89975 -16.03365,-22.16519 -30.03965,-19.82467 -14.006,2.34052 -2.37641,19.24788 -15.44613,14.80363 -13.06972,-4.44425 -36.514299,-9.11297 -28.417941,6.5302 8.096361,15.64317 22.779271,13.75376 34.945051,19.5635 12.16578,5.80974 24.45578,14.68799 34.30046,22.7713 9.84468,8.08331 20.21057,17.15505 27.60937,23.22758 7.3988,6.07253 5.82325,10.97008 -2.77319,4.38116 -8.59644,-6.58892 -20.95839,-13.53847 -32.74697,-19.98966 -11.78858,-6.45119 -20.80429,-18.4955 -34.27685,-23.0223 -13.47256,-4.5268 -26.982821,-16.47782 -38.459382,-17.08722 -11.476561,-0.6094 -4.802126,3.87295 -7.854914,15.14122 -3.052788,11.26827 20.503243,16.48397 31.470796,24.44159 10.96755,7.95762 22.22295,12.5854 36.4205,17.67465 14.19755,5.08925 33.01937,13.09206 44.26323,18.07201 11.24386,4.97995 19.40968,7.01494 7.87931,15.18338 -11.53037,8.16844 -19.60207,21.28871 -10.85548,33.28036 8.74659,11.99165 23.12262,-4.61733 19.99909,-17.3847 -3.12353,-12.76737 17.29325,-6.39325 12.41183,1.42728 -4.88142,7.82053 -2.67715,13.75893 0,18.01734 2.67715,4.25841 15.22549,36.11252 24.95123,25.2899 9.72574,-10.82262 -4.34799,-24.79661 -5.44987,-35.85618 -1.10188,-11.05957 10.4925,-11.3263 13.00124,0.90293 2.50874,12.22923 17.32358,20.89882 24.78073,33.76732 7.45715,12.8685 26.77973,3.88465 32.23902,-5.09143 5.45929,-8.97608 -6.43515,-11.27562 5.15229,-10.93654 11.58744,0.33908 30.80202,1.44771 32.84525,-11.6952 2.04323,-13.14291 -20.59757,-10.10161 -32.1134,-8.24432 -11.51583,1.85729 -27.10484,-1.31954 -37.55329,-2.04343 -10.44845,-0.72389 -16.54452,-8.09256 -3.58749,-8.15858 12.95703,-0.066 23.33528,-0.13558 37.59044,-3.02803 14.25516,-2.89245 32.0669,-7.31769 46.03121,-10.77849 13.96431,-3.4608 25.94163,-3.68129 40.03454,-9.51156 14.09291,-5.83027 -18.46668,-11.61197 -9.34516,-17.81432 9.12152,-6.20235 -3.97558,-28.21651 -12.35302,-15.97534 -8.37744,12.24117 -16.78665,12.3505 -27.03779,18.49233 -10.25114,6.14183 -22.05608,12.58215 -33.36883,17.22052 -11.31275,4.63837 -31.45515,12.67564 -38.0829,11.55888 -6.62775,-1.11677 -17.91314,1.62754 -21.86077,0 -3.94764,-1.62755 -13.88848,-8.03225 -8.96836,-17.28 z"
+         clip-path="url(#p0860a37816)"
+         style="fill:#000000;fill-opacity:1;stroke:#000000;stroke-width:1;stroke-linecap:square;stroke-dasharray:none;stroke-opacity:1"
+         id="path2"
+         sodipodi:nodetypes="zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz" /><path
+         d="m 242.43785,214.40492 c 4.92012,-9.24775 21.03149,-15.68249 34.63787,-15.96666 13.60638,-0.28417 31.03953,0.769 40.21835,-9.68242 9.17882,-10.45142 34.3165,-10.85074 30.3402,-22.08748 -3.9763,-11.23674 -34.31414,1.83089 -30.62195,-6.63916 3.69219,-8.47005 16.06446,-21.30603 -0.25523,-17.38758 -16.31969,3.91845 -29.81935,13.33502 -39.16739,19.81114 -9.34804,6.47612 -29.44493,21.18494 -27.39482,8.41775 2.05011,-12.76719 19.1382,-20.77472 28.35998,-30.72259 9.22178,-9.94787 18.20384,-21.15525 25.95032,-31.04681 7.74648,-9.891562 7.27404,-23.976448 -3.42146,-25.798085 -10.6955,-1.821637 -6.83784,-2.015056 -17.39143,-0.491948 -10.55359,1.523108 2.80718,-8.557064 7.46294,-15.929311 4.65576,-7.372247 0.64699,-17.055695 -11.11386,-9.816557 -11.76085,7.239138 -30.30961,16.74609 -27.04884,32.58512 3.26077,15.839031 -6.30106,28.114401 -6.96734,42.121481 -0.66628,14.00708 -9.48376,30.49106 -8.96835,37.07343 0.51541,6.58238 3.40377,25.86115 0,28.27968 -3.40377,2.41853 -5.41331,-9.8922 -9.96445,-18.05696 -4.55114,-8.16476 -5.94478,-25.30266 -6.07722,-36.32208 -0.13244,-11.01942 -3.994,-20.65894 -3.68872,-25.00953 0.30527,-4.35058 2.83658,-44.318654 0,-48.217581 -2.83658,-3.898927 -29.23118,-12.373672 -28.63699,2.080081 0.59419,14.453753 -25.85097,2.718534 -26.84288,17.97313 -0.99191,15.2546 13.26717,21.28347 19.29584,32.47458 6.02867,11.19111 11.63276,22.6567 18.36633,31.82026 6.73357,9.16356 10.51073,39.62525 1.32168,31.75123 -9.18905,-7.87402 -7.66171,-24.48249 -12.16454,-35.36332 -4.50283,-10.88083 -14.00771,-15.97517 -21.56224,-23.87492 -7.55453,-7.89975 -16.03365,-22.16519 -30.03965,-19.82467 -14.006,2.34052 -2.37641,19.24788 -15.44613,14.80363 -13.06972,-4.44425 -36.514299,-9.11297 -28.417941,6.5302 8.096361,15.64317 22.779271,13.75376 34.945051,19.5635 12.16578,5.80974 24.45578,14.68799 34.30046,22.7713 9.84468,8.08331 20.21057,17.15505 27.60937,23.22758 7.3988,6.07253 5.82325,10.97008 -2.77319,4.38116 -8.59644,-6.58892 -20.95839,-13.53847 -32.74697,-19.98966 -11.78858,-6.45119 -20.80429,-18.4955 -34.27685,-23.0223 -13.47256,-4.5268 -26.982821,-16.47782 -38.459382,-17.08722 -11.476561,-0.6094 -4.802126,3.87295 -7.854914,15.14122 -3.052788,11.26827 20.503243,16.48397 31.470796,24.44159 10.96755,7.95762 22.22295,12.5854 36.4205,17.67465 14.19755,5.08925 33.01937,13.09206 44.26323,18.07201 11.24386,4.97995 19.40968,7.01494 7.87931,15.18338 -11.53037,8.16844 -19.60207,21.28871 -10.85548,33.28036 8.74659,11.99165 23.12262,-4.61733 19.99909,-17.3847 -3.12353,-12.76737 17.29325,-6.39325 12.41183,1.42728 -4.88142,7.82053 -2.67715,13.75893 0,18.01734 2.67715,4.25841 15.22549,36.11252 24.95123,25.2899 9.72574,-10.82262 -4.34799,-24.79661 -5.44987,-35.85618 -1.10188,-11.05957 10.4925,-11.3263 13.00124,0.90293 2.50874,12.22923 17.32358,20.89882 24.78073,33.76732 7.45715,12.8685 26.77973,3.88465 32.23902,-5.09143 5.45929,-8.97608 -6.43515,-11.27562 5.15229,-10.93654 11.58744,0.33908 30.80202,1.44771 32.84525,-11.6952 2.04323,-13.14291 -20.59757,-10.10161 -32.1134,-8.24432 -11.51583,1.85729 -27.10484,-1.31954 -37.55329,-2.04343 -10.44845,-0.72389 -16.54452,-8.09256 -3.58749,-8.15858 12.95703,-0.066 23.33528,-0.13558 37.59044,-3.02803 14.25516,-2.89245 32.0669,-7.31769 46.03121,-10.77849 13.96431,-3.4608 25.94163,-3.68129 40.03454,-9.51156 14.09291,-5.83027 -18.46668,-11.61197 -9.34516,-17.81432 9.12152,-6.20235 -3.97558,-28.21651 -12.35302,-15.97534 -8.37744,12.24117 -16.78665,12.3505 -27.03779,18.49233 -10.25114,6.14183 -22.05608,12.58215 -33.36883,17.22052 -11.31275,4.63837 -31.45515,12.67564 -38.0829,11.55888 -6.62775,-1.11677 -17.91314,1.62754 -21.86077,0 -3.94764,-1.62755 -13.88848,-8.03225 -8.96836,-17.28 z"
+         clip-path="url(#p0860a37816)"
+         style="fill:#000000;fill-opacity:1;stroke:#000000;stroke-width:1;stroke-linecap:square;stroke-dasharray:none;stroke-opacity:1"
+         id="path3"
+         sodipodi:nodetypes="zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz" /></g><path
+       d="m 242.43785,214.40492 c 4.92012,-9.24775 21.03149,-15.68249 34.63787,-15.96666 9.92705,-0.20733 21.89109,0.29721 31.20031,-3.47366 -12.66833,-8.21177 -24.43088,-14.72648 -41.40201,-25.24085 -8.89746,5.65286 -18.09887,9.98821 -16.67914,1.14676 0.51305,-3.19508 1.96791,-6.09206 4.00559,-8.79597 -5.55733,-3.61046 -9.36436,-5.63374 -13.33867,-8.27245 -2.13155,6.39163 -4.05352,11.86878 -3.80496,15.04315 0.51541,6.58238 3.40377,25.86115 0,28.27968 -3.40377,2.41853 -5.41331,-9.8922 -9.96445,-18.05696 -4.55114,-8.16476 -5.94478,-25.30266 -6.07722,-36.32208 -0.006,-0.47722 -0.0185,-0.95185 -0.0376,-1.42358 -9.63976,-5.42851 -28.27017,-16.80618 -46.47501,-27.94422 2.52017,2.6917 4.91632,5.46914 6.63981,8.66848 6.02867,11.19111 11.63276,22.6567 18.36633,31.82026 6.73357,9.16356 10.51073,39.62525 1.32168,31.75123 -9.18905,-7.87402 -7.66171,-24.48249 -12.16454,-35.36332 -4.50283,-10.88083 -14.00771,-15.97517 -21.56224,-23.87492 -7.55453,-7.89975 -16.03365,-22.16519 -30.03965,-19.82467 -14.006,2.34052 -2.37641,19.24788 -15.44613,14.80363 -13.06972,-4.44425 -36.514299,-9.11297 -28.417941,6.5302 8.096361,15.64317 22.779271,13.75376 34.945051,19.5635 12.16578,5.80974 24.45578,14.68799 34.30046,22.7713 9.84468,8.08331 20.21057,17.15505 27.60937,23.22758 7.3988,6.07253 5.82325,10.97008 -2.77319,4.38116 -8.59644,-6.58892 -20.95839,-13.53847 -32.74697,-19.98966 -11.78858,-6.45119 -20.80429,-18.4955 -34.27685,-23.0223 -13.47256,-4.5268 -26.982821,-16.47782 -38.459382,-17.08722 -11.476561,-0.6094 -4.802126,3.87295 -7.854914,15.14122 -3.052788,11.26827 20.503243,16.48397 31.470796,24.44159 10.96755,7.95762 22.22295,12.5854 36.4205,17.67465 14.19755,5.08925 33.01937,13.09206 44.26323,18.07201 11.24386,4.97995 19.40968,7.01494 7.87931,15.18338 -11.53037,8.16844 -19.60207,21.28871 -10.85548,33.28036 8.74659,11.99165 23.12262,-4.61733 19.99909,-17.3847 -3.12353,-12.76737 17.29325,-6.39325 12.41183,1.42728 -4.88142,7.82053 -2.67715,13.75893 0,18.01734 2.67715,4.25841 15.22549,36.11252 24.95123,25.2899 9.72574,-10.82262 -4.34799,-24.79661 -5.44987,-35.85618 -1.10188,-11.05957 10.4925,-11.3263 13.00124,0.90293 2.50874,12.22923 17.32358,20.89882 24.78073,33.76732 7.45715,12.8685 26.77973,3.88465 32.23902,-5.09143 5.45929,-8.97608 -6.43515,-11.27562 5.15229,-10.93654 11.58744,0.33908 30.80202,1.44771 32.84525,-11.6952 2.04323,-13.14291 -20.59757,-10.10161 -32.1134,-8.24432 -11.51583,1.85729 -27.10484,-1.31954 -37.55329,-2.04343 -10.44845,-0.72389 -16.54452,-8.09256 -3.58749,-8.15858 12.95703,-0.066 23.33528,-0.13558 37.59044,-3.02803 14.25516,-2.89245 32.0669,-7.31769 46.03121,-10.77849 2.1734,-0.53864 4.29866,-0.99878 6.39126,-1.4138 l -27.09874,-16.5108 c -6.97799,3.80878 -14.2672,7.42695 -21.36278,10.33623 -11.31275,4.63837 -31.45515,12.67564 -38.0829,11.55888 -6.62775,-1.11677 -17.91314,1.62754 -21.86077,0 -3.94764,-1.62755 -13.88848,-8.03225 -8.96836,-17.28 z"
+       clip-path="url(#p0860a37816)"
+       style="fill:url(#linearGradient5);fill-opacity:1;stroke:#000000;stroke-width:1;stroke-linecap:square;stroke-dasharray:none;stroke-opacity:1"
+       id="path4"
+       sodipodi:nodetypes="zsccsccszzsccszzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzsccszzzz"
+       transform="translate(411.65766,-96.734059)" /><path
+       style="fill:#000000;fill-opacity:1;stroke:#696161;stroke-width:1;stroke-linecap:round;stroke-linejoin:round;stroke-dasharray:3, 3;stroke-dashoffset:0;stroke-opacity:1"
+       d="M 499.2785,-36.31387 801.21252,147.56291"
+       id="path5"
+       sodipodi:nodetypes="cc" /></g></svg>
diff --git a/paper/generating_figures.ipynb b/paper/generating_figures.ipynb
deleted file mode 100644
index e69de29..0000000
diff --git a/pyproject.toml b/pyproject.toml
index 62c36b0..072cb87 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "ect"
-version = "0.1.9"
+version = "0.1.11"
 authors = [
   { name="Liz Munch", email="muncheli@msu.edu" },
 ]
diff --git a/tests/test_embed_graph.py b/tests/test_embed_graph.py
index 41320f5..ec5bc36 100644
--- a/tests/test_embed_graph.py
+++ b/tests/test_embed_graph.py
@@ -97,6 +97,43 @@ def test_add_cycle(self):
         self.assertEqual( len(G.nodes), num_verts + verts_to_add)
         self.assertEqual( len(G.edges), num_edges + verts_to_add)
 
+    def test_get_angles(self):
+        # Make sure we can get the angles of the vertices
+        G = embed_graph.create_example_graph(centered=False)
+        M,L = G.get_all_normals_matrix()
+        self.assertEqual( M.shape, (6, 6))
+
+        # Check that all entries in the matrix are between 0 and 2pi other 
+        # than the diagonal which should be nan
+
+        self.assertTrue( np.nanmin(M) >= 0)
+        self.assertTrue( np.nanmax(M) <= 2*np.pi)
+
+        # Check that all keys in dictionary have the same property 
+        M_dict = G.get_normals_dict(opposites = True)
+        keys = list(M_dict.keys())
+        self.assertTrue( all([0 <= x <= 2*np.pi for x in keys]))
+        
+
+        #----
+        # Check that the values the dictionary show up in pairs 
+        # when asking for opposites
+        M_dict = G.get_normals_dict(opposites=True)
+        vals = list(M_dict.values())
+
+        # Convert to strings to make this hashable for the counter 
+        vals = [','.join([''.join(x) for x in A]) for A in vals]
+        vals
+
+        # Count all the instaces of each value. 
+        # These should come in pairs, so should always be 2. 
+        from collections import Counter
+        counter = Counter(vals)
+        for k,v in counter.items():
+            self.assertEqual(v, 2) 
+
+         
+
 
 
 if __name__ == '__main__':