diff --git a/Data/clustered_network.json b/Data/clustered_network.json
new file mode 100644
index 0000000..f53637f
--- /dev/null
+++ b/Data/clustered_network.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/Data/cm.json b/Data/cm.json
index 3505407..51ea78f 100644
--- a/Data/cm.json
+++ b/Data/cm.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/Data/erdos-renyi.json b/Data/erdos-renyi.json
index 728f9a8..7bb426b 100644
--- a/Data/erdos-renyi.json
+++ b/Data/erdos-renyi.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/Data/sbm.json b/Data/sbm.json
index aca04f2..3ceb553 100644
--- a/Data/sbm.json
+++ b/Data/sbm.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/Data/watts-strogatz.json b/Data/watts-strogatz.json
index 89c0ba4..44d9744 100644
--- a/Data/watts-strogatz.json
+++ b/Data/watts-strogatz.json
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\ No newline at end of file
diff --git a/Data/zkc_frac_vs_beta.json b/Data/zkc_frac_vs_beta.json
index e613854..2fa7b8e 100644
--- a/Data/zkc_frac_vs_beta.json
+++ b/Data/zkc_frac_vs_beta.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/Data/zkc_infer_vs_tmax.json b/Data/zkc_infer_vs_tmax.json
index b44197a..09513a2 100644
--- a/Data/zkc_infer_vs_tmax.json
+++ b/Data/zkc_infer_vs_tmax.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/Extra/plot_infer_contagion_functions.ipynb b/Extra/plot_infer_contagion_functions.ipynb
index 5ebdf02..d226e4d 100644
--- a/Extra/plot_infer_contagion_functions.ipynb
+++ b/Extra/plot_infer_contagion_functions.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,11 +26,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "with open(\"Data/infer_contagion_functions.json\") as file:\n",
+    "with open(\"../Data/zkc_infer_contagion_functions.json\") as file:\n",
     "    data = json.load(file)\n",
     "\n",
     "A = np.array(data[\"A\"], dtype=float)\n",
@@ -50,20 +50,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.figure()\n",
     "plt.subplot(211)\n",
@@ -79,20 +68,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax1 = plt.subplots()\n",
     "\n",
@@ -118,57 +96,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import cmasher as cmr\n",
     "\n",
     "cmap = cmr.gem\n",
     "p1 = np.mean(A1_samples, axis=0)\n",
     "p2 = np.mean(A2_samples, axis=0)\n",
+    "\n",
     "plt.subplot(131)\n",
-    "plt.title(\"Simple contagion\")\n",
-    "plt.imshow(p1, cmap=cmap, vmin=0, vmax=1)\n",
+    "plt.title(\"ZKC\")\n",
+    "plt.imshow(A, cmap=cmap, vmin=0, vmax=1)\n",
+    "plt.xticks([0, 10, 20, 30])\n",
+    "plt.yticks([0, 10, 20, 30])\n",
+    "ax = plt.gca()\n",
+    "ax.xaxis.tick_top()\n",
     "\n",
     "plt.subplot(132)\n",
-    "plt.title(\"Threshold contagion\")\n",
-    "plt.imshow(p2, cmap=cmap, vmin=0, vmax=1)\n",
+    "plt.title(\"Inferred from S.C.\")\n",
+    "plt.imshow(p1, cmap=cmap, vmin=0, vmax=1)\n",
+    "plt.xticks([0, 10, 20, 30])\n",
+    "plt.yticks([0, 10, 20, 30])\n",
+    "ax = plt.gca()\n",
+    "ax.xaxis.tick_top()\n",
     "\n",
     "plt.subplot(133)\n",
-    "plt.title(\"ZKC\")\n",
-    "plt.imshow(A, cmap=cmap, vmin=0, vmax=1)\n",
+    "plt.title(\"Inferred from C.C.\")\n",
+    "plt.imshow(p2, cmap=cmap, vmin=0, vmax=1)\n",
+    "plt.xticks([0, 10, 20, 30])\n",
+    "plt.yticks([0, 10, 20, 30])\n",
+    "ax = plt.gca()\n",
+    "ax.xaxis.tick_top()\n",
+    "\n",
     "plt.tight_layout()\n",
+    "\n",
     "plt.savefig(\"test.png\", dpi=1000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# import cmasher as cmr\n",
     "# cmap = cmr.ember\n",
@@ -244,30 +215,16 @@
     "sns.despine()\n",
     "plt.tight_layout()\n",
     "\n",
-    "plt.show()\n",
-    "\n",
-    "# kde and then find the hdpi"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# import cmasher as cmr\n",
-    "# cmap = cmr.ember\n",
     "colors = [\"steelblue\", \"darksalmon\", \"mediumseagreen\"]\n",
     "\n",
     "kmax = np.max(degrees(A))\n",
@@ -322,13 +279,6 @@
     "plt.savefig(\"Figures/contagion_inference.pdf\", dpi=1000)\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/Figures/Fig1/a.png b/Figures/Fig1/a.png
new file mode 100644
index 0000000..e4d483e
Binary files /dev/null and b/Figures/Fig1/a.png differ
diff --git a/Figures/Fig1/a.svg b/Figures/Fig1/a.svg
index 136fbdb..cf43263 100644
--- a/Figures/Fig1/a.svg
+++ b/Figures/Fig1/a.svg
@@ -1,12 +1,12 @@
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8e39ffwL8liUnT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvL8dpw8S06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPAc/ybPk5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE7evfEMkTZLTp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+Tkncqp0zh5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8m7d+yTOkpMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eQ5+kqdx8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OTdc/CTOEtOnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OQ5+EmexskTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTd/vn4idtlpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyXPwkzyNkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl595xCJM6Skydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IifPb8fJs+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7fjpOncfJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+Tk3XPvkzhLTp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+Tk3RvPEGmz5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJu/XSljhLTp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+Tk3fvzDJE2S06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcvFM5dRonT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJuHfwkzpKTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXluIZKncfJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+Tk3XPwkzhLTp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+Tk3X79BfBjlpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eQ5+kmfJyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZy8e+MVIm2WnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5t19/AfyYJSdP5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8hz8JM+Skydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5t39eIdJmyckTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGT5+AneZacPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMm73a8/AX7LkpMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInz8FP8iw5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZPnFSJ5lpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5ebfrqS1tlpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyfMKkTxLTp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZy8e+OpLW2WnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJc/CTPEtOnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OTd8wqROEtOnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnLxbmRMncfJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInz8FP8iw5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJuPbUlzpKTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXm3zytE2iw5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvIc/CTPkpMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5efcc/CTOkpMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eW4hkmfJyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZN36+AncZacPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMlz8JM8S06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPAc/ybPk5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE7ePa8QibPk5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMlz8JM8S06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5N2uV4i0WXLyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5Dn4SZ4lJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyvEIkz5KTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXleIZJnyckTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTd7ue2tJmyckTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPAc/ybPk5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMnz1JY8S06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5HmFSJ4lJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE7ezXpqS5slJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LybmVOnMTJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDy/HSfPkpMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInz1Nb8iw5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZPnFSJ5lpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5ebfrqS1tlpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7Iybtx8JM4S06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcvFtPbYmz5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnleI5Fly8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OTd7tefAL9lyckTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcvBsHP4mz5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnt+Ok2fJyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZPnqS15lpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IybtZrxBps+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyXPwkzxLTp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkeYVIniUnT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETt7Nfv0J8FuWnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJc/CTPEtOnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IidP5OR5hUieJSdP5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kRO3s16akubJSdP5OSJnDyRkydy8kROnsjJEzl5IidP5OSJnDyRkydy8hz8JM+Skydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IifvxlNb4iw5eSInT+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZPn4Cd5lpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5ebf79SfAb1ly8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IifPb8fJs+TkiZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7Iybv11JY4S06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5N2sV4i0WXLyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ88tRPIsOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3Lybjy1Jc6Skydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5t/v1J8BvWXLyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5Dn4SZ4lJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3Lybr1CJM6Skydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IifvZr/+BPgtS06eyMkTOXkiJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5Dn4SZ4lJ0/k5ImcPJGTJ3LyRE6eyMkTOXkiJ0/k5ImcPJGTJ3LyTubUSZw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyRM5ebfr4Cdtlpw8kZMncvJETp7IyRM5eSInT+TkiZw8kZMncvJETp7IyXPwkzyJkydy8kROnsjJEzl5IidP5OSJnDyRkydy8kROnsjJEzl5IifvxsFP4iw5eSInT+T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diff --git a/Figures/Fig2/generative_models.pdf b/Figures/Fig2/generative_models.pdf
deleted file mode 100644
index d3d4aac..0000000
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diff --git a/Figures/Fig2/generative_models.png b/Figures/Fig2/generative_models.png
deleted file mode 100644
index 61ecad0..0000000
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diff --git a/Figures/Fig2/generative_models_fce.pdf b/Figures/Fig2/generative_models_fce.pdf
new file mode 100644
index 0000000..928fd07
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diff --git a/Figures/Fig2/generative_models_fce.png b/Figures/Fig2/generative_models_fce.png
new file mode 100644
index 0000000..bed675f
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diff --git a/Figures/Fig2/generative_models_sps.pdf b/Figures/Fig2/generative_models_sps.pdf
new file mode 100644
index 0000000..e40acd5
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diff --git a/Figures/Fig2/generative_models_sps.png b/Figures/Fig2/generative_models_sps.png
new file mode 100644
index 0000000..68e47e1
Binary files /dev/null and b/Figures/Fig2/generative_models_sps.png differ
diff --git a/_OBS/erdos-renyi_experiment.py b/_OBS/erdos-renyi_experiment.py
index 8902452..1fa673b 100644
--- a/_OBS/erdos-renyi_experiment.py
+++ b/_OBS/erdos-renyi_experiment.py
@@ -13,7 +13,7 @@ def single_inference(
 ):
     n = np.size(A, axis=0)
     x0 = np.zeros(n)
-    x0[random.sample(range(n), int(round(rho0 * n)))] = 1
+    x0[random.sample(range(n), round(rho0 * n))] = 1
 
     x = contagion_process(A, gamma, c, x0, tmin=0, tmax=tmax)
 
diff --git a/benchmarking/optimize.py b/benchmarking/optimize.py
index 4b88628..f1e2747 100644
--- a/benchmarking/optimize.py
+++ b/benchmarking/optimize.py
@@ -297,7 +297,7 @@ def count_local_infection_events_multi(i, x, A):
     for t in prange(T - 1):
         nu = A[i].dot(x[t])
 
-        nu = int(round(nu))
+        nu = round(nu)
         nl[nu] += x[t + 1, i] * (1 - x[t, i])
         ml[nu] += (1 - x[t + 1, i]) * (1 - x[t, i])
     return nl, ml
@@ -314,7 +314,7 @@ def count_local_infection_events(i, x, A):
     for t in range(T - 1):
         nu = A[i].dot(x[t])
 
-        nu = int(round(nu))
+        nu = round(nu)
         nl[nu] += x[t + 1, i] * (1 - x[t, i])
         ml[nu] += (1 - x[t + 1, i]) * (1 - x[t, i])
     return nl, ml
diff --git a/clustering.py b/clustered_network.py
similarity index 71%
rename from clustering.py
rename to clustered_network.py
index 299ab56..1d36c73 100644
--- a/clustering.py
+++ b/clustered_network.py
@@ -5,18 +5,7 @@
 
 from lcs import *
 
-
-def gen_clustered_clique_number(n, clique_number):
-    clique_size = n // clique_number  # the number of nodes per clique
-    clique_membership = 0  # the number of cliques per node
-
-    p_dist = delta_dist(clique_size)
-    g_dist = delta_dist(clique_membership)
-    A = clustered_unipartite(clique_number, n, p_dist, g_dist)
-    return A
-
-
-data_dir = "Data/clustering"
+data_dir = "Data/clustered_network"
 os.makedirs(data_dir, exist_ok=True)
 
 for f in os.listdir(data_dir):
@@ -33,23 +22,25 @@ def gen_clustered_clique_number(n, clique_number):
 cfs = [cf1, cf2, cf3]
 
 realizations = 10
-n_c = 33
+n_c = 20
 n_b = 33
 
-n = 100
-k = 6
-clique_number = np.arange(1, n_c)
+n = 50
+k = 2  # each node belongs to two cliques
+clique_size = np.arange(1, n_c)
 beta_list = np.linspace(0.0, 1.0, n_b)
 
+k1 = k * np.ones(n)
+
 rho0 = 1.0
 gamma = 0.1
 
-tmax = 1000
+tmax = 2000
 
 # MCMC parameters
 burn_in = 100000
 nsamples = 100
-skip = 1500
+skip = 10000
 p_c = np.ones((2, n))
 p_rho = np.array([1, 1])
 
@@ -58,9 +49,11 @@ def gen_clustered_clique_number(n, clique_number):
 for i, cf in enumerate(cfs):
     for b in beta_list:
         c = cf(np.arange(n), b)
-        for s in clique_number:
+        for s in clique_size:
+            num_cliques = round(sum(k1) / s)
+            k2 = s * np.ones(num_cliques)
             for r in range(realizations):
-                A = gen_clustered_clique_number(n, clique_number)
+                A = clustered_network(k1, k2)
                 arglist.append(
                     (
                         f"{data_dir}/{i}_{b}_{s}_{r}",
diff --git a/cm.py b/cm.py
index d1c78df..374bb2d 100644
--- a/cm.py
+++ b/cm.py
@@ -24,7 +24,7 @@
 n_a = 26
 n_b = 33
 
-n = 100
+n = 50
 kmin = 2
 kmax = n - 1
 alpha_list = np.linspace(1.5, 4, n_a)
@@ -32,12 +32,12 @@
 rho0 = 1.0
 gamma = 0.1
 
-tmax = 1000
+tmax = 2000
 
 # MCMC parameters
 burn_in = 100000
 nsamples = 100
-skip = 1500
+skip = 10000
 p_c = np.ones((2, n))
 p_rho = np.array([1, 1])
 
diff --git a/collect_clustered_network.py b/collect_clustered_network.py
new file mode 100644
index 0000000..6994bd9
--- /dev/null
+++ b/collect_clustered_network.py
@@ -0,0 +1,105 @@
+import json
+import os
+
+import numpy as np
+from joblib import Parallel, delayed
+
+from lcs import *
+
+data_dir = "Data/clustered_network/"
+
+
+def collect_parameters(dir):
+    clist = set()
+    blist = set()
+    slist = set()
+    rlist = set()
+
+    for f in os.listdir(dir):
+        d = f.split(".json")[0].split("_")
+
+        c = int(d[0])
+        b = float(d[1])
+        s = int(d[2])
+        r = int(d[3])
+
+        clist.add(c)
+        blist.add(b)
+        slist.add(s)
+        rlist.add(r)
+
+    c_dict = {c: i for i, c in enumerate(sorted(clist))}
+    b_dict = {b: i for i, b in enumerate(sorted(blist))}
+    s_dict = {s: i for i, s in enumerate(sorted(slist))}
+    r_dict = {r: i for i, r in enumerate(sorted(rlist))}
+
+    return c_dict, b_dict, s_dict, r_dict
+
+
+def get_metrics(f, dir, c_dict, b_dict, s_dict, r_dict):
+    fname = os.path.join(dir, f)
+    d = f.split(".json")[0].split("_")
+    c = int(d[0])
+    b = float(d[1])
+    s = int(d[2])
+    r = int(d[3])
+
+    i = c_dict[c]
+    j = b_dict[b]
+    k = s_dict[s]
+    l = r_dict[r]
+
+    with open(fname, "r") as file:
+        data = json.loads(file.read())
+
+    A = np.array(data["A"])
+    samples = np.array(data["samples"])
+
+    ps = posterior_similarity(samples, A)
+    sps = samplewise_posterior_similarity(samples, A)
+    fc = fraction_of_correct_entries(samples, A)
+    print((i, j, k, l), flush=True)
+
+    return i, j, k, l, ps, sps, fc
+
+
+# get number of available cores
+n_processes = len(os.sched_getaffinity(0))
+
+c_dict, b_dict, s_dict, r_dict = collect_parameters(data_dir)
+
+print(c_dict)
+print(b_dict)
+print(s_dict)
+print(r_dict)
+
+n_c = len(c_dict)
+n_b = len(b_dict)
+n_s = len(s_dict)
+n_r = len(r_dict)
+
+ps = np.zeros((n_c, n_b, n_s, n_r))
+sps = np.zeros((n_c, n_b, n_s, n_r))
+fce = np.zeros((n_c, n_b, n_s, n_r))
+
+arglist = []
+for f in os.listdir(data_dir):
+    arglist.append((f, data_dir, c_dict, b_dict, s_dict, r_dict))
+
+data = Parallel(n_jobs=n_processes)(delayed(get_metrics)(*arg) for arg in arglist)
+
+for i, j, k, l, pos_sim, s_pos_sim, frac_corr in data:
+    ps[i, j, k, l] = pos_sim
+    sps[i, j, k, l] = s_pos_sim
+    fce[i, j, k, l] = frac_corr
+
+data = {}
+data["beta"] = list(b_dict)
+data["size"] = list(s_dict)
+data["sps"] = sps.tolist()
+data["ps"] = ps.tolist()
+data["fce"] = fce.tolist()
+datastring = json.dumps(data)
+
+with open("Data/clustered_network.json", "w") as output_file:
+    output_file.write(datastring)
diff --git a/collect_clustering.py b/collect_clustering.py
deleted file mode 100644
index 2bc525e..0000000
--- a/collect_clustering.py
+++ /dev/null
@@ -1,77 +0,0 @@
-import json
-import os
-
-import numpy as np
-
-from lcs import *
-
-plist = set()
-clist = set()
-rlist = set()
-beta = []
-frac = []
-
-
-data_dir = "Data/clustering"
-
-for f in os.listdir(data_dir):
-    d = f.split(".json")[0].split("_")
-    try:
-        p = float(d[0])
-        c = int(d[1])
-        r = int(d[2])
-    except:
-        p = float(d[0] + "-" + d[1])
-        c = int(d[2])
-        r = int(d[3])
-
-    plist.add(p)
-    clist.add(c)
-    rlist.add(r)
-
-clist = sorted(clist)
-plist = sorted(plist)
-rlist = sorted(rlist)
-
-c_dict = {c: i for i, c in enumerate(clist)}
-p_dict = {p: i for i, p in enumerate(plist)}
-r_dict = {r: i for i, r in enumerate(rlist)}
-
-
-ps = np.zeros((len(clist), len(plist), len(rlist)))
-sps = np.zeros((len(clist), len(plist), len(rlist)))
-
-for f in os.listdir(data_dir):
-    d = f.split(".json")[0].split("_")
-    try:
-        p = float(d[0])
-        c = int(d[1])
-        r = int(d[2])
-    except:
-        p = float(d[0] + "-" + d[1])
-        c = int(d[2])
-        r = int(d[3])
-
-    i = c_dict[c]
-    j = p_dict[p]
-    k = r_dict[r]
-
-    fname = os.path.join(data_dir, f)
-
-    with open(fname, "r") as file:
-        data = json.loads(file.read())
-
-    A = np.array(data["A"])
-    samples = np.array(data["samples"])
-
-    ps[i, j, k] = posterior_similarity(samples, A)
-    sps[i, j, k] = samplewise_posterior_similarity(samples, A)
-
-data = {}
-data["clique_number"] = plist
-data["sps"] = sps.tolist()
-data["ps"] = ps.tolist()
-datastring = json.dumps(data)
-
-with open("Data/clustering.json", "w") as output_file:
-    output_file.write(datastring)
diff --git a/collect_zkc_frac_vs_beta.py b/collect_zkc_frac_vs_beta.py
index 111a1a8..0d4d9ab 100644
--- a/collect_zkc_frac_vs_beta.py
+++ b/collect_zkc_frac_vs_beta.py
@@ -7,7 +7,6 @@
 from lcs import *
 
 data_dir = "Data/zkc_frac_vs_beta/"
-param_separator = "-"
 
 
 def collect_parameters(dir):
@@ -16,7 +15,7 @@ def collect_parameters(dir):
     rlist = set()
 
     for f in os.listdir(dir):
-        d = f.split(".json")[0].split(param_separator)
+        d = f.split(".json")[0].split("_")
 
         b = float(d[0])
         f = float(d[1])
@@ -35,7 +34,7 @@ def collect_parameters(dir):
 
 def get_metrics(f, dir, b_dict, f_dict, r_dict):
     fname = os.path.join(dir, f)
-    d = f.split(".json")[0].split(param_separator)
+    d = f.split(".json")[0].split("_")
     b = float(d[0])
     f = float(d[1])
     r = int(d[2])
diff --git a/convergence/determine_mcmc_parameters.ipynb b/convergence/determine_mcmc_parameters.ipynb
index 3d11783..95591f0 100644
--- a/convergence/determine_mcmc_parameters.ipynb
+++ b/convergence/determine_mcmc_parameters.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,49 +11,37 @@
     "from lcs import *\n",
     "import networkx as nx\n",
     "from scipy.stats import beta\n",
-    "import time\n",
     "from numpy.linalg import eigh"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "A = erdos_renyi(100, 0.5)\n",
-    "n = np.size(A, axis=0)\n",
+    "A = zkc()\n",
+    "# A = erdos_renyi(50, 0.5)\n",
+    "n = A.shape[0]\n",
     "\n",
-    "tmax = 10000"
+    "rho0 = 1\n",
+    "tmax = 1000\n",
+    "gamma = 0.1\n",
+    "x0 = np.zeros(n)\n",
+    "x0[random.sample(range(n), k=int(n * rho0))] = 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[61], line 23\u001b[0m\n\u001b[1;32m     21\u001b[0m rho0 \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m     22\u001b[0m A0 \u001b[38;5;241m=\u001b[39m nx\u001b[38;5;241m.\u001b[39madjacency_matrix(nx\u001b[38;5;241m.\u001b[39mfast_gnp_random_graph(n, rho0))\n\u001b[0;32m---> 23\u001b[0m samples1, l \u001b[38;5;241m=\u001b[39m \u001b[43minfer_adjacency_matrix\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     24\u001b[0m \u001b[43m    \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mA0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp_rho\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp_c\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnsamples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnsamples\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mburn_in\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskip\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskip\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreturn_likelihood\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\n\u001b[1;32m     25\u001b[0m \u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/Documents/GitHub/modeling-and-inferring-complex-contagion/lcs/inference.py:183\u001b[0m, in \u001b[0;36minfer_adjacency_matrix\u001b[0;34m(x, A0, p_rho, p_c, nsamples, burn_in, skip, return_likelihood)\u001b[0m\n\u001b[1;32m    180\u001b[0m \u001b[38;5;66;03m# alter hypergraph\u001b[39;00m\n\u001b[1;32m    181\u001b[0m delta_entries \u001b[38;5;241m=\u001b[39m update_adjacency_matrix(i, j, A)\n\u001b[0;32m--> 183\u001b[0m nl_i, ml_i \u001b[38;5;241m=\u001b[39m \u001b[43mcount_local_infection_events\u001b[49m\u001b[43m(\u001b[49m\u001b[43mi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mA\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    184\u001b[0m nl_j, ml_j \u001b[38;5;241m=\u001b[39m count_local_infection_events(j, x, A)\n\u001b[1;32m    186\u001b[0m new_nl \u001b[38;5;241m=\u001b[39m nl\u001b[38;5;241m.\u001b[39mcopy()\n",
-      "File \u001b[0;32m~/Documents/GitHub/modeling-and-inferring-complex-contagion/lcs/inference.py:370\u001b[0m, in \u001b[0;36mcount_local_infection_events\u001b[0;34m(i, x, A)\u001b[0m\n\u001b[1;32m    367\u001b[0m \u001b[38;5;66;03m# 1 if node i was not infected at time t, 0 otherwise\u001b[39;00m\n\u001b[1;32m    368\u001b[0m was_not_infected \u001b[38;5;241m=\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m x_i[\u001b[38;5;241m1\u001b[39m:]) \u001b[38;5;241m*\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m x_i[:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m--> 370\u001b[0m ml \u001b[38;5;241m=\u001b[39m \u001b[43m_count_mask\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnus_i\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwas_not_infected\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn\u001b[49m\u001b[43m)\u001b[49m[:n]\n\u001b[1;32m    371\u001b[0m nl \u001b[38;5;241m=\u001b[39m _count_mask(nus_i, was_infected, \u001b[38;5;241m0\u001b[39m, n)[:n]\n\u001b[1;32m    373\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m nl, ml\n",
-      "File \u001b[0;32m~/Documents/GitHub/modeling-and-inferring-complex-contagion/lcs/inference.py:445\u001b[0m, in \u001b[0;36m_count_mask\u001b[0;34m(array, boolean_mask, axis, max_val)\u001b[0m\n\u001b[1;32m    441\u001b[0m         A[i, j] \u001b[38;5;241m=\u001b[39m A[j, i] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m    442\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[0;32m--> 445\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_count_mask\u001b[39m(array, boolean_mask, axis, max_val):\n\u001b[1;32m    446\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    447\u001b[0m \u001b[38;5;124;03m    Count the occurrences of values in `array` that correspond to `True` values in `boolean_mask`,\u001b[39;00m\n\u001b[1;32m    448\u001b[0m \u001b[38;5;124;03m    along the specified axis `axis`.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    461\u001b[0m \u001b[38;5;124;03m        An array of counts, with shape `(n,)` where `n` is the number of unique values in `array`.\u001b[39;00m\n\u001b[1;32m    462\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m    463\u001b[0m     boolean_mask \u001b[38;5;241m=\u001b[39m boolean_mask\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mint\u001b[39m)\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "x0 = np.zeros(n)\n",
     "x0[random.randrange(n)] = 1\n",
     "\n",
-    "gamma = 1\n",
     "nu = eigh(A)[0][-1]\n",
-    "b = 2 * gamma / nu\n",
+    "b = 3 * gamma / nu\n",
     "\n",
     "# simple contagion\n",
     "nsamples = 50000\n",
@@ -62,74 +50,38 @@
     "sc = lambda nu, b: 1 - (1 - b) ** nu\n",
     "c = sc(np.arange(n), b)\n",
     "\n",
-    "x = contagion_process(A, gamma, c, x0, tmin=0, tmax=tmax)\n",
-    "\n",
+    "x1 = contagion_process(A, gamma, c, x0, tmin=0, tmax=tmax)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.spy(x1.T)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "p_c = np.ones((2, n))\n",
     "p_rho = np.array([1, 1])\n",
     "\n",
-    "rho0 = beta(p_rho[0], p_rho[1]).rvs()\n",
-    "rho0 = 0\n",
-    "A0 = nx.adjacency_matrix(nx.fast_gnp_random_graph(n, rho0))\n",
+    "A0 = erdos_renyi(n, 0)\n",
     "samples1, l = infer_adjacency_matrix(\n",
-    "    x, A0, p_rho, p_c, nsamples=nsamples, burn_in=0, skip=skip, return_likelihood=True\n",
+    "    x1, A0, p_rho, p_c, nsamples=nsamples, burn_in=0, skip=skip, return_likelihood=True\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/18/v8kqhtv16cl5085d0dv0hj8c0000gn/T/ipykernel_60723/255624676.py:3: MatplotlibDeprecationWarning: Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
-      "  plt.subplot(211)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "plot 0 finished\n",
-      "plot 1000 finished\n",
-      "plot 2000 finished\n",
-      "plot 3000 finished\n",
-      "plot 4000 finished\n",
-      "plot 5000 finished\n",
-      "plot 6000 finished\n",
-      "plot 7000 finished\n",
-      "plot 8000 finished\n",
-      "plot 9000 finished\n",
-      "plot 10000 finished\n",
-      "plot 11000 finished\n",
-      "plot 12000 finished\n",
-      "plot 13000 finished\n",
-      "plot 14000 finished\n",
-      "plot 15000 finished\n",
-      "plot 16000 finished\n",
-      "plot 17000 finished\n",
-      "plot 18000 finished\n",
-      "plot 19000 finished\n",
-      "plot 20000 finished\n",
-      "plot 21000 finished\n",
-      "plot 22000 finished\n",
-      "plot 23000 finished\n",
-      "plot 24000 finished\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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57LLLaG1tRdM07r777rL5Ukq+9rWvMWXKFEKhEBdeeCHbt28vW2Z0dJT3ve99VFVVUVNTw9VXX00ikXgVj8LDw8PDw+N1gl687UtAooHm2XiOJY7qp5lMJjnhhBP46U9/Oun8733ve/zHf/wHP/vZz1i5ciWRSIRLLrmETCZTWOZ973sfGzdu5JFHHuG+++7j6aef5pprrnm1DsHDw8PDw+N1id04E6t1IUrieRwraFLKV/yJZjIZgsHg4RmIpnHXXXdx+eWXA8pa19rayuc//3m+8IUvABCLxWhubua3v/0t73nPe9i8eTMLFy5k9erVnHLKKQA8+OCDXHrppezdu5fW1taD2nc8Hqe6uppYLEZVVdVhOR4PDw8PD4/XGuPRURyz/L4dinajdW/Af8Y7j9KoXr+8FvXDIVvshBB8+9vfZurUqVRUVLBr1y4AvvrVr/KrX/3qsA2ss7OT/v5+LrzwwsK06upqTjvtNJYvXw7A8uXLqampKYg6gAsvvBBd11m5cuV+t53NZonH42UvDw8PDw+PYx3HDKLZufJpXsmTY4pDFnbXX389v/3tb/ne976H3+8vTF+0aBG//OUvD9vA+vv7AWhubi6b3tzcXJjX399PU1NT2XzTNKmrqyssMxk33ngj1dXVhdf06dMP27g9PDw8PDxeywSSg0d7CB5HkEMWdr/73e+45ZZbeN/73odhGIXpJ5xwAlu2bDmsgztSXHfddcRiscKru7v7aA/Jw8PDw8PjsCBGeiZtGRZLpAAwc+PlM17HyRO55Xcc7SG85jjkT7Onp4fZs2dPmC6EwLKswzIogJaWFgAGBgbKpg8MDBTmtbS0MDhY/uRh2zajo6OFZSYjEAhQVVVV9vLw8PDw8DgWyPXvwjLK4+hyll1IkdAdCzNTDEESlkVq8TKkffju4a8W2WnHMx6LMp5KH+2hvGY4ZGG3cOFCnnnmmQnT//znP3PSSScdlkEBzJgxg5aWFh577LHCtHg8zsqVKznjjDMAOOOMM4hGo7zwwguFZR5//HGEEJx22mmHbSweHh4eHh6vF+xwLbmpC8umpbLFuDqpmzhmACOt6teJcLW7YvZVG+NkSCmR2dQhLe/UTsUx/DjCy+zNYx7qCl/72te46qqr6OnpQQjBnXfeydatW/nd737Hfffdd0jbSiQS7Nixo/C+s7OTtWvXUldXR1tbG//8z//M9ddfz5w5c5gxYwZf/epXaW1tLWTOLliwgLe85S189KMf5Wc/+xmWZfHpT3+a97znPQedEevh4eHh4XEsYTfO3O88PTOO3TATqQcoFMXQXSmgaa/C6A6AY2O9+NeDz87NeVa6yThki90//MM/cO+99/Loo48SiUT42te+xubNm7n33nu56KKLDmlbzz//PCeddFLB0ve5z32Ok046ia997WsAfOlLX+Izn/kM11xzDaeeeiqJRIIHH3ywrMTKH/7wB+bPn8+b3/xmLr30Us4++2xuueWWQz0sDw8PDw+PYx5frljAX/iChMb2oCHcCeIojSrPoVndxCuv1nZM83fVsTtWeC3WofHw8PDwOPxYW1dgtMxCr2482kM5YkQTKZCSmspIcVo8AVIQyCX47yf38uFliwAIRbtI16j2YpXkMCpqjsaQAXD6d+F0rjloi50dGyJhFI+xOhJCe5Wtjq9F/XDIFrvVq1dPWiNu5cqVPP/884dlUB4eHh4eHkcCZ3wEe/e6oz2MI4qRjqFn92mtqWlgmGAY/Oju9ZhCJUpIvVjdQlpHN8bO6VyD8Id5OXuTtFS8oBjpKZsujrrF8bXBIQu7T33qU5OWB+np6eFTn/rUYRmUh4eHh4fHkSAz/3yybYcv0e+1iNR0NLmPyHEtWZrpAyAn1e3fTEcLi9g7j65xRuommXnnIR3ngMtZz9+r/laVV7842sL0tcIhC7tNmzZx8sknT5h+0kknsWnTpsMyKA8PDw8PjyNG+tjtNiTtHNgW7CvsXH54r6o3+6XfrFDLByuKM83AER/fwWBvfgYx1rff+ek55yBG9iITowDoyTE1QxxYEL5ROGRhFwgEJtSWA+jr68M0DznJ1sPDw8PD41VFs47dbEpnuBtRUQeui1VISSqTxRgfAuDXj2wD4MHVXWp+ZTMV/RvxJwbQGtuOzqBdnIp6AGwjgJ2MTrqMGOlBBiuwE1Hshg4Csb0Ed63AHNzhJVO4HLKwu/jiiwudG/JEo1G+8pWvHHJWrIeHh4eHx6tFPnbLrm8/yiM5cti9bgkxTUMKgWXZ5GwHfAEqBzaStYpWLSklUoIwA2hSHmpS6mEn1668gbm2E7H8lWXzpBBIK4u1fRUAVqVqJ+r4I5gnXYIeqgJP2AGvoI7dD37wA84991za29sLZUrWrl1Lc3Mz//M//3PYB+jh4eHh4XE4sOxj31WXmXsOAJqUSCuLk06BGQJdR5MOuqYVLFtZByxhUGeapMMNSMPkteGMBSjPbhUDu3B2v0R68TI1YbgLWheiByIwuAstUIt07KMwztceh2yxmzp1KuvWreN73/seCxcuZMmSJfzkJz9h/fr1TJ8+/UiM0cPDw8PD4+/CcURZ94VjHimURc4VO46/AruqhXMWTSksknUkaWlgYWJYCZASMdaP07vtKAx3H9G9T9kSS2qk8qIOsFpVZw0dgeMLoVnJo21wfM3wioLiIpEI11xzzeEei4eHh4eHx2HH3r4ap3UBeVuGLzUKFeGjO6gjiJGNIw0fUko0KwMB5daUwSrmTKvmiTW70U0/w7E0OduhpipIMB2DRBQ7OYLIJDBa576qY5bpBOArmVAu04TuYzI0QETqIRUlq/kJTrrUG4tXJOy2b9/OE088weDg4IS6MfmuER4eHh4eHq8FnOFubCMATbPRMuPHvmVHM3D8EbJCgOEDIdA0ddQv9IyTHusn0tjGrx/cSO9wgt989AREdQuM9pEL1+I0z3vVBZKzZx20LcGQNo42UZpIf+jA64fry2ryvZE5ZGH3i1/8gk984hM0NDTQ0tJSVuVZ0zRP2Hl4eHh4vGaQVpb04reguX1FDWljh+uO8qiOLI5fdWOwpI4f0HJJtICyUO7qGS8s95e/7QTgqc1DXHxKBHQDu64DACkFmnbI0VqvGK1SZcRqUioz3L7lWkb3Qsu8/a6v4xUnznPIwu7666/nhhtu4Mtf/vKRGI+Hh4eHh8dhQyRGwVddtPj4lcCxHQfTOLoWHnvH85izTzns23WExBESv6kr62SJJWu4R3VrsLMJzICqYTcQtxi0/NSFipmouRV34TvuPPSqhsM+vklx6+lprj1VGuXyxCoRdVXJPuKRKWXz9WPfDnvQHLIcHxsb48orrzwSY/Hw8PDw8DisOPGRsvem65K0rKObQSmlxI4N/f3bcWxkLo3MJJFuaJTtCNIluQialEg0uoYSWElVqiwbHy3MN0JK7Ap/se+qUz0FZ3jvwY1BSmR6fOJ020LmMge3Ddf7Z7qWN22S7hM+t0uGTEWpDvkJp4fL5uuJEcT46IT13mgcsrC78sorefjhh4/EWDw8PDw8PA4rdk1r4X99vCgE9Fj/0RhOAZmKkZl33t+9HdG3A2vd41hrHkQM7kbLpciIYoiUBEQggtR0zv/aIxOzT4HOEeWmlkYxQSHXdiJZ88BxbQXsHNbaibrA6d6IvfnZg9pExqzYZ8okrtVCHcIZyNG9aLkUml3SRkzXsTc8cXBjPoY5ZFfs7Nmz+epXv8qKFStYvHgxPl95psq111572Abn4eHh4eHx96CVuOh0O41GBaaTLRMxRwMhtZdf6CDIjo/htMxHBCsIYiP9YZ5Z3c1fntvJr6+ah12jXJbX/XbFhHWt9DhSOLy4bYCz7l/Php+/t3yM4eqDGoOUktRxF+Ozc2imvzBN9O982XVFMoqzfTXG9OMRJZ+J1IruY2vLcph2AlqwaFEUviAiUMWsT9xVmLbh5+8ltXgZ/oMa9bHLIQu7W265hYqKCp566imeeuqpsnmapnnCzsPDw8PjNYNeEoSfTyBAN3B8B2mNOkJIXQehOipo+itPUshNWQCumBJp5Yb85QPr2dEbQzMXAaq8y73LOwHQfQGEpaxcuYTqsdrdH1VjkhJN0wj5DNKWg3iZcyTiQyAEMlwFuoF0HAoJrelxUouXEdyiLGh210bQNMzpC/c5gDQyHYfBTsyp8wuT7XBt4X9LKHGuZWJoQTVdZhJwjCfBvFIOWdh1dnYeiXF4eHh4eHgcfuwsAcchG6jC1DS29Y/TWFdNMHiUeywIARjI9Dha5OAsY5NiFu1TUjj4ksPs6HVbfuoG2DkCycHCMnXNjYz29SFKYthSyQTgRwAh08DUlTVRT8eRVVVgZdH8Ewug2P27kLFBjIXnAr5CyzYAe3gv1HXgVDaqw+3ZombsK+wK60g0YGA4SlNDDRm9uL/ctMWAEqhaMJ/goeM4L58wIZJR9EjNyy53LPHq5TJ7eHh4eHi8yjgDncjxEQLpUWQgzLJvPspH/uMp9PG/P3Hh78NN4tjw5OHboqaXNeKyw7Vg+nHqO8r2Wtc+o3xFN2vWnxolkByC/q0AiIp6ZHwI64X7J91frmEGudbjcDY9oyaU1LW13KLI1lRlNcQfQpvMtZsvmabpxJI5zvyqGyMnheoP69iF8Tl17YXjE+Ea+qLp/Z6LwjlY91iZ4Hwj8IoKFO/du5d77rmHrq4ucrnyFi0/+tGPDsvAPDw8PDw8XgkiOoC9+VnMRedjTVmIaafw2SmE64qdXh9Gs7Ivs5V9tjk+itOzBd/8M8umS8fCWvcY/pPecmiDlAI0SB930SH1Z7W3rURvnole3YiIDYJRTDqQqTiyViWLNFSVW9gMXUPTNdKpLNWVNWXzkokMZjDCSEoQcfrKCofkdr5IbsbSSePWNCmxq1vIuCVkrE1PY5xyKaAsZURUbTpr7SNoholWMdF16mCQmXEqRna8kC6hAWg6uefvwzzuTexPqoh99FpsLEZtyMAe3YVeWY9eO4XU4mVUCQfNeEVy53XJIR/pY489xtvf/nZmzpzJli1bWLRoEbt370ZKycknn3wkxujh4eHh4XHQyGxK/U1FkZEWHJ8fmSqWNzF0DQ7R/emkx7EcgREbRK9uUtOGutCqGrBDtQcVsC+Fg7PjBYz2RTg922Da8YXpMjEGph89XHXAbVi5LGYmgV7diJOIQmUY3Bg9u2EGhmOxZG4TWVu5WoWUjNkmjpAgJKnRAaqa6/GHK8mlVIkSIWzS0QEyQlnGNCCQHScbqMRqnImoqJ98MLEBaKpEhtSY7fq24vmqaioedzqOVTcdPVg5QXTYA7sQ045HBit5dGV3+bzaaeiJMYg0Trr7vaPlFrv06CC1zbWInq0IQG+ZBY1z0d5gHSkO2RV73XXX8YUvfIH169cTDAa544476O7u5rzzzvPq23l4eHh4HBCZTRUa0x8xXPeeZgYwU6P4pI0MFYXc3Sv2IA/y9ielRGYSOOjk2k/G2vG8mu5Y2J1rEZkkuWmLD+6Ysins2CAiMYYodQ9aWezdL+EcRBZptuMU1R4NsINVBVFXGC8wmswxkLTUMgKyUnePRdnEpHAQjo3uU9sRVg5hZZHZJBI32i2orHBO7bT9nxvXMapZqlad3TizOM+NhTMH1TFZUxeRrZ6q5rnCW62kvH7SDPCvv1ut9ulINCeHNWU+dv8Od4PF85UYVWVr/vi3PWXjyeEDTUeaAaRu4gyVC8U3Cocs7DZv3swHPvABAEzTJJ1OU1FRwbe+9S3+/d///bAP0MPDw8Pj2MF68a9Yz993ZHfiCjt72wqQsqzkSR4RiEyYNhkyGcVa8xBitBeA7PSTALBW3UN64YXY21ep92sefNltCamRWXABtu4nN/2E4j6yKbIt88lVHLjLQ148ihG3cPC+bbfURIbGc8RiWUwnBzklogzTIOUWHA5XV2Nn04WCxrqbLLEjHUSE63BqpmIO7gCxf7EqpcRumqX+9x1EZ1k7h5ZNAuo7cCBytkBzjy03VSVOlMYOnvCvKqavrV7td/FJHRimTsyoRETqSC+4gPRxF5Fe+Ga1rnZ4Ssu8XjhkYReJRApxdVOmTGHnzuITxvDw8P5W8/Dw8PDwAEAraV11JLAxSC1ehghWIsz9O0mjidR+5+URQpBavKyQmSnC1eSW30F2+okAZOafD0CucfaEdZ2erUURBhRK1+0jmGQyijD8oB3YZSgdZYWzpi5CpuIFsQlgWko0xTMOseFREqODGAg2d41x1rW3kU3ECssabv1Z6Vg0zJxdiD+LjmcQFQ1IfxhdWKDvP1prXwulNokINKSN3TSLTMcSNDuLnhxB5oru09yLk4vhD/7XCp7cokq3SLfVmIEDQ0UL3QOPPc9//3UrqdFeVjz8NPG+3YwmcpNu743GIQu7008/nWefVZWkL730Uj7/+c9zww038OEPf5jTTz/9sA/Qw8PDw+MYQtPQG6Yf0V3k3Zx2XRsiUBSRIyOqbtulS9sL0xwxmdWriOPWeivFqu/AqSnvVVoaX1aYFh/BjpW0NHMtVvuKIikclQX6Mgkd0i6u54z2YtdOJTzeR+XwVvzxPgAefLEHK6Nah9lSY+0utf9sSautcKBEsGkauWQcgLXb+koHVb7vfTJLZSrmbksJZ18mip4cUzXpADM5ij+q+tKKyibXNasjhrrUtNFeyCax6tvZl+e3DbJ6a7FES0hk8EkbLVLDExvV9Gf6lQguPZfp3IE/yzcKhyzsfvSjH3HaaacB8M1vfpM3v/nN3HbbbXR0dPCrX/3qsA+wo6MDTdMmvD71qU8B8KY3vWnCvI9//OOHfRweHh4eHn8/0vBN2tZq0mWlVP1GD7Vchbv9vNiSEoSQ/On5IaSUPLet6F3K5KwDb2poz4RpVuuCgxpGtmkOuZLEA6d3m9qmezxBoWLTpKaDpkPuwOU7ZKbYjzUXG0aGqpEa2DXTMawUESfFN36/GseNYYulc/RFy3u1ts5q5/hZdUQaWtQ2neLx/99jqtaclICmo+eSxRXtcmuYcOPXTEPJCC1YARpYW1eqBTTYty2YNP04XRuQmo69dbnaTmV5YoThV0LRLqmzp411YzuShKPxkf/8GwBzm8MTzs9wIoMhj24P4NcCh5wVO3NmMTgyEonws5/97LAOaF9Wr16NU/IBb9iwgYsuuqgsUeOjH/0o3/rWtwrvw+GJH7iHh4eHx9EnveDNaOk4B5OTKuND2JuewZx3Blpd68uvkGcf4Tho+1m+vpsf3L2R1HA3IlOJnhlHBCtxMinYT7Fi6VhkZ53xsrsLGhrZXBYov/dITStzr2brOtT08RGINBTixuzBPcjZU7FfJu7P6t4Cs5RnLJfPqA3XoqF0lD62t2z5gbQ+Ibpw2vQptHetJxNXFryK+npGdu8GYGqTsm4O2H5aGmcjSooESyuH5iuep2ygEk04MNwJ4SlogAjXkms/GT8qsUJWl1s1hZspm150CeH15XF2vkwcKQTxnh1EGttwSjShqGjk1qd2853b1xamXX/HprIiywCj8QyalGUBeSH/0W0ddzQ4ZIvdzJkzGRkZmTA9Go2Wib7DRWNjIy0tLYXXfffdx6xZszjvvGLz5HA4XLZMVdWB08U9PDw8PI4imoblWmwORG7HC6QWLyuz3hwIkYrj9G0vc2nmrX390eI0x5GE4io+LR/QPxmlrs/9EfCZ+EwDPTYwYZ4mHCiRVvkkA6tlXtly2dnltfHyiPgwzuDu4nKzTseXcl3D+9RlcyoayzN9NY01OwapihTFmabr9I5l8Kfi+FzLmC9YnO8LBUg5+Qza8rHkNj2DM1zMMhXhasLZMUQ2gyaKVj/NcIXsfkqMyJKYx6wrTpESm/Lly/IdfEGGE5O5qcsH+fO/rGXUKpc1vq4XJh3HscwhC7vdu3eXWdDyZLNZenp6Dsug9kcul+P3v/89H/7wh8uyXP7whz/Q0NDAokWLuO6660ilDhwQm81micfjZS8PDw8Pj8ODlBKRjCGSUVU017Wg5cttmKN7kSWB//vDrlFWOnGQtypneC9W7w6kv9jjVEj4r7+8RP9YUcDppg/chvKancV2xKTuXlHi+gSo9rv3HeFgJIapqQgT9PvAyiLc3qb5Yy9QsllpTLQeheJFK5sv1l82Dic2iNW1qXxsvnLrYrETQ21BNJnBCLrp57v/t5qs5dBSp45VCoFh6OQMH/Xtxdi2cy+7kIrGZuKpLHGhBGNK6GjCwe+k8aXHyM5cij2wW+0rGUOzc0hfEKd6CpGx3WiAPzmEmYq6xzp50opTqax2IliFU6vKn/ilRddoClHiFpZCUG0UhXUsOUlixIQ4QFEowRLyKaEoApWF790bhYN2xd5zzz2F/x966CGqq4uGdMdxeOyxx+jo6Disg9uXu+++m2g0ygc/+MHCtH/8x3+kvb2d1tZW1q1bx5e//GW2bt3KnXfeud/t3HjjjXzzm988omP18PDweMPiWNjrHkWihIc5/yy02hZIJ0DooE90EU6G3TxH/RM4cDP6PFZijNycszGTo5jCwtZ9OI7NHx7bUmYByo6PISoa8PVuwmpdSCKdoToycR/29tXgZr0CyK6XqJy5lOToEAhHCS7Hht5NyJbF7iCy2OsexX/GO9X7UsvTPsJOSuVmLLzPpZGpeKF3bC5YjdN2EgHHBlOta6RGCFRKErorTK000hdyd6UEjHBsNE0jk3PYG8uSsIrGGDMQoKNvO9K3FIDqiB9HKEubv2Ss48IkjEM40UeyVnnjsnXtBABr3aMw41SIjkLdVJxalQyjCQcx3A0tHaBpaEg0KZCajpGO4YSqC9nFmTlnFdbREXzztvVkogPueZH0jOcQPZuJtB6HI2DOlGISTLCyksz4OFY6Uf6BuQI4Et2NEanGrJ6CLaagy30sgMc4By3sLr/8ckDVg7nqqqvK5vl8Pjo6OvjhD394WAe3L7/61a9YtmwZra3FWItrrrmm8P/ixYuZMmUKb37zm9m5cyezZs2adDvXXXcdn/vc5wrv4/E406cf2SwtDw8PjzcKuXVPkF68DBwLhCAiM+hAduMzsOB8rJZ5WM1z0Zbfgd4yG3PGCRO2IaIDYKqbuRzaA1UT21FN2G/bSe5/EgOBDYzH3UzUfZTkn5Z3cWWHQ95GlH3+fnQk/lMvA8CynUIpkzxWbTu+ge1o0o9T1YzcuRLaTsRqmlNYxunaoP7u3YIMN5T1T9VzSUw7gxapIZvNMEyIep+yShlOFrtxBiIXRy/piiHC1UpA5ov6hqrQhAAdTCdbEHVQbhHUXZfo3pE0qZSFUpgSTdep27sTfbaKHZw9tYq+kSSp0WE6B/q485ntrNs1zDeuOoOc1BDVrehSIDQdEalBCuGeF4kmMmUC3a5oxKlsISgEwgyAyGA4OWwziBkI4siJCkt3smiGznFttTxWMr1rMIndtAQz2oOoaOT629YW5o3s2kiksa3g9g3XNZEaHQQkZ117G7t+dAEiEUUf6YamubzROGhXrBACIQRtbW0MDg4W3gshyGazbN26lbe97W1HbKB79uzh0Ucf5SMf+cgBl8tn7O7YsWO/ywQCAaqqqspeHh4eHh6vHKd/Z6HUhZ3PdDR84Asg3HpoufYTiytoGunZZ2JZE11sMpMgt3NNcdvmwVns8tiROiQaFeO9bNszOOkyA7EserC43cyCC7Dq2gpdEcQ+Gaq6nVXH4jg4Vc1qXJF65N71hWWsjU8j4sPYVc3kRvtAiILBTmYSaNkkeiBEABufaeKUmPMCaRU7Z/Vsx+kr77bgdG9EuOdJMwOqDyvgt/cJO9I0pBQIK1uwFA6MxBnv78TwF2Pp7J4+TDfGrrl/B70jaUx/AKTkh7e/yCMvdHHWtbexfrdKsChmmmpIx0b6gkjDh5hQUFmNtzTT1tGV2NSRBOUkcXKmci3Pm1q8D1vJKNG42+6s5BzNn1dMxpjWXo+VjFE7vYPK5mmE65sLBZdlqBqnegpWbRv9lr9Q7PiNwiHH2HV2dtLQUP5hRqPRwzWe/fKb3/yGpqYm3vrWtx5wubVr1wKqeLKHh4eHx6uD3b0ZZ1TVQbOmzC+f6Vpp8nFoeWSoGmuSllUiGcOuL3pR7LqX96jYJYkOUjOwpQZOjkfXF4VdS3MNmm5QUVfPvNYqdCShDQ+huYLUap6D48b+lRb/DSQGCGZU0qBT4joVkXpEoFJlpFppnEwSItXk2k4k23GKSnDIppBWFic+jDQDoBsTrIcAjl+5VkWoCnvvFmWls5VAcqKDZfFnaBpV4QCkx0llbYbiWXpG0+Q0H8Kt66brBqcvaGZkyC30KyWzzjyTMxc1s3NPjONmquOw3KSFuvYOfPv0qX1otSr1YiCImBq+9JhyPQN6iXVQSkn3SApT2BipMWQqjiEdkqkcY/kevVYGPR1jf1h20V1spceJjallS8VjPJUrHN/QXve7lklSURvEHwyQF5aOaosLbrKK1A5Z6ryuOeSj/fd//3duu+22wvsrr7ySuro6pk6dyksvvXRYB5dHCMFvfvMbrrrqKkyz6D3euXMn3/72t3nhhRfYvXs399xzDx/4wAc499xzOf7444/IWDw8PDw8JpKeew5WSTHgUrRSd6QsT74Tvkli23QfdsMMtW4uhS/78gluiUzR8mcJiNk6TlULp80tCrHengGkcLAdQcZycGqnY7Z0EOgqWgdt3YcUAhlTgtDvZNHC1chw3hWsER7ZgV8o65PIJwP4QmTmnYeMDauadLqhsmCFjb35WWwziAjXqE04ViHIP2+RyluVrOY5pOefD1a20KUhM/ecgjUKlNjR0nE0TeMX973E5f/+JOf+64P8YfUImbF+tT1dYyzjkMuoOnaapkKpKuPD6Gjs6oszddEi5g9vV5+Lrk/wVz+93s0cRsXgSU3H6dkKQNiv7sUyMUY0meNN//YQVjYDaNjbVoKd48f3buAT//E4fpFTMXdSEjEgMrK9xCOr9pkaU7UFDb/bv7a0cLSbxDI0nCLtCm4LZXGsaW1VNWwNAyklkaBJ1DFJi6K88VqKvQw/+9nPCvFojzzyCI8++igPPvggy5Yt44tf/OJhHyDAo48+SldXFx/+8IfLpvv9fh599FEuvvhi5s+fz+c//3ne+c53cu+99x6RcXh4eLxxyK265+UX8gBAxAbB8Km/k+D0bMHa8hxQnksA+wtqL07UDBNS+7f07HdM7jakWxvOyWVIj6ngfGE7/Ov/qDIYIlSNb0qxHZidiJJbeRe59pMBMMYHyses68jaaRj7Sf+wmspju63a6WRr2xAjRQugdNe94PN/ZthyjRWlO9E07L7t2A0dxXHt09BejPUiKhv5j0e76B9NuauVbkSnL5oqZNQ6uQyGrjF30zPopkZrjZ9QdTXNuzbmd1oYV56Az8CSGiO2iaZpyGyKnFsVQ4u7AnK4W1nHgPGsAClIL7gAG51fP7mH9XuiGAgwAwh/CKNnHYaVJjKwCYAtXaP8w3ef4sURNfbKJuXmzpYI9U//fgt2Jkm0a2th2ni/6mDhD6kHA93QCQQMZrXWYEmdcWHSb/k569qiIeqNwiEXKO7v7y8Iu/vuu493v/vdXHzxxXR0dBTi2w43F1988aSp6NOnT+epp546Ivv08PB44yIzSayaVnxSoL3B3DivBCcRheoKRKCibLqh6zhCkO04BbnbrScmJSAJWAmy/kr0fToaSCFUt4fWhZi6Bpk0ji+EGNmLXj/RbZtHyySQ/jDoOl0DUTb3jPPOk5twJAQqKkgMFUuXSClJZZVLTxoBjOap4PaNdaqaymvE5YWhhJzUCen7ltiApCUw3BC2fImWsvMTrkGWWCplMkrCqCfrZqtG4nuLLkdhg24iBjqhvigShb+8+LGYJO4w6pYECVRUYWXSxEZiaCX15BwhCWSSjOsmM+r87BnJUjXQxWUfbueJVbvpdxyEnUMIB9MfomtwnIRjYEkdHBundhqO602XVoY13VmcZAXtter+PGabRGqVO7droNzK+vOHt2HoGp84Hqy6dnyje6jsX0f/WDUb9oyyrTdWPKH78PCannJXdAn5JBHdMIgPDTA2pZk12wdprAkzrVF9Hy1H4DcP3If3WOKQr1i1tbV0d6snhwcffJALL7wQUD+UyerbeXi8EZGOjcymkLbXlPr1iDPWh9W6EOld0w4K2xUdTk1r4SFc1zQqQgECSRWblutYArglOTQNLVxNxG+g2fsE1DsWwhXTIStOcLwP/CGsHfsvNCvGR9HsDOHxboIiw4vbBrjul38jK3WSyRRWOlkoxBupb0TTNP7hFCXAJCrYP2/skqHqghsYKAi7nNSJOWbBOgVuLJdjkdCC+N3CwfokBY+lP4RT11Zcxxdka19JjTxdR0gIOJlC3bt8Tbp8QeK89U4b7FTHnHfrlhBPKfEjpbLQZWIjgMTw+fGHlcip6+3k5K98jtlbVwCwpzvO6Td8ivYaEylsrPQ4VrLYVzYjNOLJLFo6Wn7OzRC/+stqPnnrJmJptd+kXbQY3rmy3ML4vbs2cuMdG9ThuQkTGL5CkkrGtdDlu0mYZrkglS/T01e4MZbxjMWnb36C/3lkEwNjSqwbniv2wLzjHe/gH//xH7nooosYGRlh2bJlAKxZs4bZs2e/zNoeHm8M7K3LsV78K9ZqLyzg9YgdqlH/HGRP0zc6Uqobp5FNIBNKFESCAeUarCgvU2I4OZASOdaL7sZtlW3LcbCmzMdvGsjYIE59ByJQQWbuOfvdv73hCdAMZGWzqpunq23qSL75hxcY799DalS5YQ3TQDg2O0aUoNRzCWTnC0QCPmUhLEHLFbNO83pu1C5a84ZsP2KT6l2Ku66I1BLy+/AZpV0gdPTxQYSUDNt+Mv5qtEAxS9UK1RF1TJKZHLhjz8w9151ZHIMuhUrAKKGhuriddE6Jm1xSWcuEnQPpdoNwxxcajxGorCDo1oDLZR20+DjbxgTCtrAzSYTtUFOrBO3aHUMsu+5u5FhJMompHNHzWsKMJC0u+eaj6nMo6QOWFWp/F5yoPHwNVQFVi84tXCwBu34GuEIul1QC1nBj9xzbIZdOFyyreokVNVhSySLoNzh1fiNVdep7FnMLUd+3opN3fF1df3XdE3YH5KabbuLTn/40Cxcu5JFHHqGiQj0F9PX18clPfvKwD9DD4/WI3E+skcfrBPfmaq15qFh6wuMASELYaFaGnNsEXuvZgOjZjJEob7U1KMKkbCWT8m7u3PI7EGMqyzHfpSIU8OPUTC3uwRdkMnLL7yC1eBkiUsy41dzPb+Xu8UJ3grzFJ1RTjZ1J0dkzTL/lR1Q0Yte2oUtBeJ+esaFEH7aEfsvPqs44X//tcmx0sDKMucb47pnn86HvPURcL7qhzYHNhIMB9BL3oahswucUrZNJV7BkcjYCDSFB6rpKvCjBrmwu/O+TFrFQI9kRFd/23LYRhmOZwvw/PrWz8H9Ffb06bpS1SwpJQ3UQw84xtmcv1cOuUNOhoibItNryYzfcHqufvvkJNY76ohXTF+1Gc2yoKM9yvurfHyr8//tHtwDw+Npurvz+U1SGAyyc0Yhd31G2Pd0VuJqmoxkGIVdTSCl407eeomsgCkDOLfECMG3x4sL/7S2VzEv1Mn1qjTqvQ13si5c88TL4fD6+8IUv8JOf/ISTTjqpMP2zn/3sy9aY8/B4vWDveMG7ob+B0d0yE7kp87FzmZdZ2kOisiql4SMz52wAVdDWsdCyE1s8WkK5J4kqcZFrnoOTcuuWxVV2JJPEVE0Waz0ZjqXW3dI1Rn1NeSxapVuuKzrm1tyTSjTKrpfQSspxmOkoBKsQrjVyV1+MR1/sYv2uYcaFj6zm5+l1e0lnbbbtjZKV6naqUhCU+NOtNE6J71bL13lDYyyVw84kue3Jbao0C4DhQ7PK6+dJvWip0pGkzQjWqBJ2K7dP7NsOUNfWRsv0KfmThhQSK5XkjOOaWbNhSJ2jjSoRwXKNbHNry+VA384dhdIiE8ilkIbJvS/2l03O5Bw04RT72bq8uGuUzv44ObvEneqWS7np/m3u2wC109oI19a6730MRNOs6Sxuq2ZqUegvfPN5zD7rLPzjYyz9n+8x27f/nr9vNA5K2N1zzz1Y7g/lnnvuOeDLw+O1zsHETYmh3Ti7D0/5Hum581535O+zTt10rEjjgRd+gyMdR1nFNABZSDxwqltxaqbhlCQThEd3EU9m8TtZdF8AOboXdAO7aTZWULnX7P6d6ONDyORYyXqdGJmi9W2/Y7GyOC8+RCKuBFpjTYjR0aL4qZmixlLZ0IBu+oknsyQcFcslfUFE37bitkw/MliJlJLReIbxlDLR/euv/0ZSD5HN2Vz3y78xGFVCLGs5VIX8REY7capbEUOdxLQQWceNObTShTpuIj6MFJLs+Ai33LceRyqLotR0NLPYYzU43o8mBQVPop0lZzlY05XFqkaMI6V0X6rfreELUNPaSuvUBvzhMLppKJcsknN/8E8IIXnTlz9Jc0RwyanTSDUqsXRC7wuFTg4AVjqFtMpFeVBkqAj6cGqmgeFjZ39pQoprGUWDStda6I4tz7DrJo2W9H3dtjfqrqcSIDpaKgvrAnzz9k0TPmcoulcXa2p9v7X/BzAhDu6B4FjhoLJiL7/8cvr7+2lqaiq0FpsMTdO8BAqP1zzWqruLfRyPIOaCs1X9qk3P4Fv0piO+P4/Dh5Rg2hlsM4iGd03bH9KxsVb9Bdm6EC0bg4CytvidbFn5Dt3JIQw/oqaVZZ+4i+qwnxd/+FZERWPBxaq5N/LsrNPRpEREd0PNVBA2qrOsROayaMEw+yNrBBmfeRYbNu4C4Is/f4agP0C+o2i+y4URCEM2ybLr7mblT9S1wKlRGbdBLDL4lBvVCLBiT4IPf/+Rwj6iCeVOveALdwDwkR+oee/59v08/9mZCDdJQhh+QEMXFpqtoWeTxHzq/MhUnK6BcmuYo5ukBVSN95OpanXPiY1P2pgj3Tj1HUgjwHtveID+0RTbPzeNjB5C2BlyyTjCyhKorMexsuiGQdDUCYTDjA8PoxkGmqbhS6WwhMQwTfbujXHcM3dT9eZzGH7qrxjDg0inXBJkUwnCruAWEvTEMHq4AoeiVRSUKE2N7GXOgoWkLYdIyE9LfYTe/mFyqXGC1arW3+rtylq45Av3s/O/ryjbV2V1CE3XqQipMQi3YLHlCAKhAElAlgi0jJsoMvMlVRkjuJ9EteNOaMMRAl33smLLEELQ1NRU+H9/L0/UebzWke5TnbXu8f0uI5KHXjOrbB9SotVOQa9RsTFyfARr89/+rm16vLrI2CCGm80px8cQIz1HeUSvTaQUZDqWYNe34/gjiGAlei6JoZW6HyGUGqamIlzQerVVSsyJcK0rgCizxhk4ODVTVXybEyan+8CxsdY9irRzSOGQW3UPzt7NpBe8OT8Yoo4PJ1JXZiVKpIoCKhBWotDOZbDSytr0+KodyO6iVcifS+AzDQw7jZTKvViKI+SktdEGo2msxtnFwsPhOtWRQqjGYdIfZiwtOOva21idbuA//lTM8h1ISm5/ahvPrOtBC1dj5JQU1XRD1YAL1+G3Ukgo1KzbvmeAH9y3nUx0SLUQo2jlaqgOsms4W3Aj17S2Ut/ejq5r2K4FMRrL0bHyITKxOOvW9yP3Ft2qNdNmFs5p4bjXPwnCQbo1Ba2o+n3Mmj+NQisxKTBEDh1BVWWAdHQIZ59QhqFo0dX89u88gXBssolRsjm1jYq4En92JlFYLj2u9hmsiBCuqSnbXt1eFTKjCwfd5y9rnQaw6tFnMYw3VsmiN9bReni4T+wyOVao6j4Bt1yBPlW1RZLZVKF/ZB4pJU7fDpy+7RPXl2JCALSM9k9czuM1ixACaWWpMFTBVWeSgGwP9dCS77wgwzXKbWhN0g/UzhZ+Q6ahcdkZM8mJ8oB2KSUiMYY5PoTPFYb52LOcEUTTNHJTF6m2ZbYFjoXTvalQFiQksyTSOXb1xdjWNYxT0oO2dZYSKtUtLcyYUomdSbnuSXhy8zC5ZKKgYRzHIZQbR/OFkMCG3ZPHsU2Kppf3JdUAw8RwMmD6GI4rkTMUTRUC+qWUjCWy3Ld8F2u29YFuEBndRZXhYPsiKgbQH0Lm0jglQusxbdGE3Tc0V1PZ1FIIN7EtGzSdtnkzmTWvA4ALbv4OAJH5qoqFsJTwrc/F0E0flS1t+MLKHVoqkobmXYTjC8GI+i1s7E8hHJuenmhhmZ6hcUaiCWQqzuBY+fXVyWVwrCwPrlTXzFXrO9nYHVWZuOkEVjqBYZpoUjJjn5q46agSe5VNTbQed1zZPDPndgBB0jh7EYZpImyLeQuLIQDp7OQ18I5VDsoV+x//8R8HvcFrr732FQ/Gw+NII0suuk7XRoxZSyZkTEnhoDe2g1tfy971Img6vvlnFheysoUYPGPKnMKTsqZpqvH3foraSinfcBlarzeklFjNc9DsLD401RrKzdg8mHVBfQ/Ud01z/5dlN/L8MqXrvR6/F/a2VXDcRWi5FJrpfudLC/G6OkSTAtG9Dprm4jcNLFsw6vho0YviS6biWDtXImafhSEFDhpSCGxHIINVyEAQR0jsLU9iVNUjKXp7fclhCFWwYlM/3/jdcnKpBFYqSrheWZOSGYf2JUvQTZOAlWHGwnl0b+9EAlt64ozNupQmcmp7VgYZ64OmOUgJ//WXA8faVoX9LDp1FsGYsjDJCS3SNAwd/ON9GEZ1yXnJF6yTDEZTOFJi6BpYaTVnpItUZBpZW6PBZ0NmnLhTdEP/8M9r2Jds1gJNYyShhEw27tbW0zTXnQ2+sBJrg+u2MvukZv7hP7/F9//4F/zRUWpnzcUX8JMvGVfaD3Y8nSMYrqY+os76/6zLoIsU8f44puuuRUo++fNVPPi1ixgbKRfEGbdSwDfuVtm37/2vtQBEwj6ycciOx9D06Ti6iW6AXhJruG/R4jOOa2L5RrW9gf4Eu/qTTJu7nkjTecRMA5GLMTYywjlvPo4H/9iF5sXYTeSmm24qez80NEQqlaLGNYlGo1HC4TBNTU2esPN4zSLiw9gbn0KraUZGB1R1e93AnHlS2XLO9lUYc5Yi+lWcjowOoIWry5axXri//P2KO9GbZ2LOPAlrdT6JaCl661xErwrIFtEB7M3PYi4+H32f2l4eryFc8W/oOpqhYzd0IA0f/pdZDcB+6VFkOo7v5GVYL/4VAPP4C7HXP47/dBVTJEd7sbetKIvztDc8iTF9YcF9/3pAjI+QPu4i9UY3UIkTPgjXIKTDoO0HKdDQqK2ahl9kcCREgj5+du863n/RgrLtOcFK7PnnK4tXtBdqpvLCll6u+ukq/vuaU7lkbphUZSuZ+W+CDU+SmX8BkUGV2akHVc21r9+6vLC9fHmTbHwYXXfwBVUM3QIxwgYRLFjVz16kkgfyt35R0YCoaCArNHomJvRO4Lp/PI3r79zIm+aoa4SQMGj7afHl+MpvVjCvtYrPvWUGoqKRzIjyBuzpGy5oldTIXtbsGCKWtuiK57CNINS1Fwo326jixVS10D822QiKpJJZfEE/hq7R1lxBPq9fk6rkyfY9MZZGlDiMzJ8LxPCHw0ifj+6uKJElFRimTiaRwxeuKOv3FkvmqIlUIIPKmrela5RgRQXJvXuxUnm3qeTCU5R11HYtgUagROhO8sDrDxetghVhH7OTPazSpiHs3H6zoBuqQ+7fIA6Qzjg0r1+DfvH5ZNzEmc4N2+ncsL1w/G8kDsoV29nZWXjdcMMNnHjiiWzevJnR0VFGR0fZvHkzJ598Mt/+9reP9Hg9PP5uNF+xXlO+mOqEZTQdTBPhNtQuazG0D5ZbwV0M7Jowz2xfDPlyBUJd6MRQF7nld5RZDz1eO+RW/gUAHaHKVgAEKw6whsIZ2kMuXEe2/WREKk5q8TKyUxdj9+8k11TSi9S2SC1eRm75HYVpMjGK079zss0eNuwdzx90uZBDJl8QWKo4p6RwA9U1HalpCAAzwKjtYyimXHQ3/GElg5YP27IIB/yIYKVKpND1Qv26T/7qRUDFoGnCQc8qAZFtPxl8AZypx2EaOrqmYZcemqtH8m2odL14q5vVtQHdMMhllHD666rd/PiOF+nLmsSdYoC9QCOTLVofhW0BFsFwgNrKAPNmNDBn0Qwe6Bwl3t/N/StVR4h82ZOs0NjRE2X34LgSvJrG3zao8i7ZTJailARbSEajaV7c3I+DDmYAae5Tt083GIlnyKXiBTey2CdhID02hAYc11HLDLPoCk1kbIbGLbr7kkQa1UPlCVe9uzD/32KbyDVMxR80MUydcHWAcG0jucQYgUgE3TR57/UP8PS6YqxpU22YbK78GmYlY8yZVoOUkEtEAXCyabKJMcxAsFBbr5RkqniOG+vDtHdtLrx3suPIkpIrs6cqy+C02hCXndnOGcc1k83XROzbf7hLMHjI3VNf1xxyjN1Xv/pVbr75ZubNm1eYNm/ePG666Sb+7d/+7bAOzsPjsOJe3EUqjt6qvr8yFZ98WcMEx8HuVO4Ova4YryHT42WLytGXCazP32Riqj6XyN/A91cjyuOoIYUoabyuFeqaGbGXj5G0dm/Aal2AU9WM7cZ3OXXTsByJXdIY3nH7qTqVxTIqIlBx0O7eg0U6DrIkcN2ODanYtEl4JQlDUiveLM1cEnvXSxhje/FHu0g4Ot2D43T2xegdSWC5HQlyJS6xB1buRqCRcwSmlQLX9Wa6sa9ixd0kM+o3MpqyEZWNhV60MqRu8BkMDPcBKVkiynxuOyonl6GysZm69nYAjp9VR9sLT7CgoxbHyvFP7ziJ0fEMtz+1nZztkBJGwZKWsxxe2F4sruzYWZJDfRiBADNaa+jqj9O1e5DenpjbugssqRG31bGPOT5CAR+FC0A2yQMrO7FzaZ7dOoZdErebScaRwiGZzJCTOo4ETH9B+jlSQ0r405PbsJJRahvUeZisxqLp9/Gmnc9w/N+KXW9KPZHTTzkBgEBVBY+vKHaTsJ1iWRVN05g5VVn2zGAQO6v287uHVZLJtt395HJWYXphG9kUe/rG2PeR1U6PY2czOPbEh1nhFMVpmz2G9ZDqYhGorCI7HiVQEckPCr+bBLHgS+/nzOuu4qIbr2Fvf9Id//4fWrQDPJgfixyysOvr68O2J96QHMdhYGBgkjU8PF4juFdsMdSNMWU2evOM/dfFyk/PX3xL+hRaax8GQG+egdFxwqSrmwuL7Y98x6usPdG/T8Hj/dxkPY4e0rGxpqikGR2BNrxHTefli+NmZqsYTD2Xwhkq9sm066ahlVhWdFe4ZDtOKa479xy0umLx1cOB6N+BvaWYjZ2Zdx4iMz7psva6Rw99B7a6qesamLkUw1NPJhOqg1yGZMbiPdc/wP9344Nc+c37WblFxUPtHUpM2IyDAb0ltcrcwH2txIW3cKqaVhXex4oFmIMq1CEtDVrrI3z8rYuZ0qzcoicdPwOQ6K4giI6p/YexcXJZfv5o0Upqu6Ij41rcHnm+k2/cuqK4I/fjH+ncRnc0QzqdY7RzM729RVE8YvtIjY7wnusfAGA4laM3riyDaV8liVSWbGyILbv6sEseEHvjOTKxIbCTJIXBkF3u+B9xfAiUdREg4cbQ1TSUh4gACKEx5W8PUbt2FSe96QymHX88kaBJbUX5Nisay8NBhjfvKBOAQbe1Vy45TnpUCcBNXcoXvOzfl7NnMEEmNtHj8ZO715fVICwbm+Nw02fOJ1RTw4I2tf/kUPGBpsVwivF0buJMvFcds+n3o5eIwEhVACEkRkszb/nZd9HcThmByppJ9/1G4pCF3Zvf/GY+9rGP8eKLLxamvfDCC3ziE5/gwgsvPKyD8/A4rAgBvgAyl0EmxtCr9x/PJDPlVcylm+mXb3uEbqA3dRRiovICz96m2imJ3q2IHStwNj+FFqwoWCNKsdY8+HcfksfhRaaVBVcTNhpgN85CFzZOVfP+rbu4oi/v4s+lyU0tZu7JYGXZA4TYJ84o75J1SgLV90UkxspctweDZQbJVk0p385hDCJ3ooMgJcGAX3VU0A2EZuLUTudjNz1WtmzKLRnyjzf8tWz6Wdfexk/vWYfVNLcwzRhXIvBvxvzCtP+6b6OK19M0gkYx7svQwHHrxq3e2k/vSJLq6Q3E3YbyK597kWwqjeEW3p1tqAe1MVdsjezcUNjWsuvu5h1fvxfbtY4lNbcki22RHOoi54ZtOFaOoYEYKVfsDO/cCEA6qgwb//WYyhr9w2NblEtSSGK22v/Y+ORFdEeiafUdKolpE0Jy54pufvCn5wHccanPL963h5aWatJpG19ICeCqlhYArEwSxqLUVptMqwsRrKxk3vQa5k6voWZR8Zy2LC6PcaxeXJ5tur1Hfd+j3cUH0hNn1JF1W1XE0+Vu4HBlBZpbK67fbAQ05p8wt2yZ7HiUu7eMMLx9HU3zWvGHi8kg9S2NBHSBYejUVQbIJtxizo6N4fNR19ZGh5Fi3vSimNV1jUhLE0s+8E4CzU1Mb4zgC0XK9hmqbZzUGHUsc8jC7te//jUtLS2ccsopBAIBAoEAS5cupbm5mV/+8pdHYoweHocHKdDrp0E2TfbpPxZvxCWIhPukqRtoIWUlMOeehhjrxRnYhb3Ldc22zEavqEMLVeI/450YU9zSASN7gWKvynw8nxapAcC35K1H7PA8/n6E6zI07SwJR32GwWwMEa7B3rMBMdaHzCRUHbXn70dKid21EXv76uI2KurB9JeVvdCtDM7eLe67oriSUpJrVjc/O1KMP7LWPlJ4mABwklGs+vZDOhYnm1GJH1IUBKvdW16eR6bihVIu8hBDA2Q2ic/UMWN9OLqP+1d20jmirJG7+8tFsG34SYvJbzd/21jSXN5noiPpGhjj6lvWFqb3jiTQcmmkY+MLFH+3oWAQDUg6Ol/5pbJOru2JlQnYXHKc42erNmIz48qS6pRUT26fXrRcDYyl6B7LEnOMgjt3ss4x6bH+CedLWFm++uvnWL5JPfyt3NzHeCxGPJ4gJ3Wylo3hbnPfLM91W3tRCfWy0HYsi8HugTh3PbsT2xEqdq/kO2WGQyQGe2iaPZvZZ51FlVtrNhz2E3CL/I6l1fJLul7g5Bf+yqdWFd2zFU3l8W6n//NHqI74WdhRbOlVyq1fvJC5U6vIPK8eSCsrlaD82EXq2jelYyqGz8/UKTWksjbByirmzpvBvuzYqUqX9A8kycaVC1vTNBrmzCNkZxBSsnRBU9k6jTNnUdXURJvfYkF7eX9a6f5m/c2NnDingUCwvBBxVct0cuk3VlvAQxZ2jY2NPPDAA2zdupXbb7+d22+/nc2bN/PAAw8Uihh7eLwWkcJBlrg/9aoGtEhN2QVaDO5W/wQr0Ftm4lv6D2h1U9HC1Ti71kC+9t0kF/syV9o+pSvM+WfiO+0KNH8Q39J/wLfk0sN2XB6HD4kkkEtgZmMkhKnuv6473tYMrB3PYw/uUfXbDB/YOZyBXTj5/qYlBIMBIpr6bknhYA2o4Pqye7qdLcTf2fl6cNkkMh1HjhfLRTi+EFbrwkNKuJFu4oCMj2C7fY+FXh5rJGIDODtWI3zBQnmfg9q2lQPdVKVcYv2kjTDf+cMqHl0/CKmJ8XqGrhNzuxroerlYiiaU5Sc01k3Q78MJ1/NidxrbvWE3Nlfz7rNn4mQzkBhBL/ltaW5plXFhksraSClJpTJk0+XHUhHy89bT25j/rBI2J9YXt7Fndzc7f/vBwvsnXuohIw027VHn3xea6P7dN2khz+Nru1nUXqO2OzBOfGSYkcFhHDQyepDqWmWhapmqxGTTfJWRL6VAOA6OZRe+IAnHQLj/p7M2SUfH9BVFS1+XshD6gmp8gYoKrnj72Zxz0gxMn4HtSPrj6jsw697/YfoTRVEHKqHki8PFUi7BqgrOOa6Rd2XW8s3uPxGuqSmzfq0bTJGyJOkZSwEIVyhhN/sMVXPO8lcihMNYLE3XQBwpJTv6Jlq5B3vUb6VrzwipMSXyTr/gVBwh8aVTBNqnc+FPv0hFY1FP5K2STbFeWqoCPLmy+DBwxc9vVOewqZU3//snCITUOa5smQ5ARW0QMzjxIf5Y5hVHFM6ZM4c5c+YczrF4eBxRZHQQZ9cajOkLcLpV5pVMRnF2rcGcc6payLExZp5M7onfAxC6/LMAaGagYGcxOo5HnyQeSjN9UNOCZhjIdBwtUlWcV9LORjNM5Buovc3ribw7LIOyVsg969DcXpq56cejZcbxDXfiDHSSWXABxu51xc4HgIEsWIP8polDCLIW0vSTmXceASnV98jdj7VzDUw7AZ+hIcZHoCKM9aKyiMiS3peF+D7HAfPgnsftRlV2wtq6HNu1ClpTy91tmOqGl5l/PoFDyJi1nr8XWd+GhobdMAvpWjcDOjCJ6LHsopAbH1AWwkijcqHWuLFfmu7W9rMz5EoSM7IZi6TQGQo2M3V0G1qklkjAJJm1ET2boHZ6YVknl+axux7HyubwhSJYaRVS0dkX5+KHf4EvlWBkOM381Q/SvvB49mzahpVJESgRTPFUDst2+L/HVSmV8f6XL079sTe184u/qQSbR9aoZKrhWBohJJmcEvcBbIa6ut3zoaaFq/KCQ4IUWOnxQucKB43emBvHqGt0DY6TS2cIRCJkk0nifSr+syISJGMpNzWmSUAXRONZ4loxRtEQNqWW4jylrtBAZQVvffqPhIf7GRgaRJ9mFs4fwLOdY8SGUvzwIbXfvbu7mT1nKrorLDUNhJUj2t/Nx256DOEI0rmJDyLRvSqucXhH0Q3en9BUvtp4kkxdK77hLei1xe95Pqu56rEHqN66ln4J8USOnoEkp85VVsFAdRW6cDDCFdS2zcEfCWMGQmiahuElT3h4HJtIDXVtcy109u714AsihruQtkXu+fsQw13oTRNdXrIk6FyvnYIWmKRfpW4io/3oU+ejR6oQbmV9e/MzExbVNA2tdsqE6R5HF6d/J5rhQwaUpULEhxGR+oILTAYryU07nsyCCwDIyfJLaKDETahpGrph4jONQu0v6djg2IRcHWFVqRjNgN+P1Axyz5fURywVWu7+RXr/cX6TodtZ0gsvxCkp12LvWa/2vWU5zo6iC9kZ7Dykbdu+MPrIbgCed3uA3vLXTTh60YV3yglKvH35F8/yjZIac7ovQNDNdpzTqmKmNE1D9G5WmtcVN1OmVtG3Ywt/eWYLUtOxG2Yiul7CkAJdOohgNcQGueZHKvkjGx/GyiphWdE8rbC/Zp9Fw64NaEjGUxbVe3fR1qEEu+GP8KZvPFxY9pcPbOBNn/szwEFZSN92Wjt/s1rQS8TD7FlFa5NreGT1rjFyOWVB692hznXeAmcVspI1dg0WrzU9w0pYvesb95HMWGRig0SqyxMmMlZxjOsHLDRH0B2X9HcWM7kDIR/hiolxvqXUtk8lvGUT6S170NKpCQWzN2wcZMuuIe5coYRuJpngrYubeHHHCK0dU9HdOEbpfv6arqEbBqFalf3ddvzEThkAs+fPwDDVuZPJFIloAk1KwrU1hWU0N/llaFMXxnolCJ/fMEzfUBrTr45LuGLZF/ARrq0hXBUmUqvOlaGXH8uxjifsPN4waKhuAPkSENbaR9Eb1NO+zCYh328xnZy4rntj1JtnFP7fF+n2OCyUbZirXBS6z6e6V+y7fGJM7fcYQoz1TxqTdDSxO9cqa9gBEGP9yGySXOtx6KHKQsPwxII3kxMa4cwYRnqii9FqLQag+9NRfFaCSEbtSwzsQBsfJOwvsRbYFsLOoceUK0kEK9Ez4xjZhDJZuVa67PQTkELg9G1HWplCuICwD/7cGqkxfJb6folIMY7MctszWY6NE6rBqVDxZ07fTkQy+rLbzYcziGBFIVLtxe0q4WE8bTEUUKKmtr4KGQnTNlOJ10deKFq+zEAYicaXP3w2Nhoxx8DSfAjHISckv3tEZcmO9ql4taHROM+5sXgiXIeMDRCQFoSqSBBg4yRtvyrr84JRZ1agaEXM2IJwKk5fzC1JY+Xo3N3D0nmTJFPtY8WcfdZZ6KaBbhgEKqq58coFfGnaIAlLYrsJV7URH8HqysI6uWyOF7cP0j04Pulvo66jmNDgC1WyqzcKqPIjW3b04lhZ4qkcYwl1fbJsURBRkxFyMgz0x8t65B4MVVOaie0eJpfI4nc/49I4u8Eta8ratBk+P1tkPSu3DnHxRUsxTJNpc2cX2pBJoayIqnixhr+ymvYlSybsd+rUhsL/ejqJ7sYhzpw1jdlnnaWmGwb6y4izvFdEN3RCFX4MUycYOZiy4scenrDzeF0hhSC5uwuRK3f3SGvymJeyZRwVv6JV1WNMVzdkZ69yt1ASqJ4XaObsJYX19Pbj8Z38FoyOE4vLpRPIkkbV+ebYmi+A2Gc8uthnvMIGK4PTtbEsSF7m0vvvYXuUkbaF3E9sEaiYLmvbisJ5OFpI4ZSdQ9G/s5CtvD+srStUEoHpx7AzSCCayJLBR0royoL3cu6cyjpE71ZkUmVPymQUMbwbkmNUDG7CyCURySjSH0bLxAkZoGcSqt1W39ZC0LwMVeLUtOLoPpzd65DxYeWCBUTecugcuFSOzGVASmRVsVZe0HXhZttOUkkb7UuwWheQnaHCEKQvgN2zdeK29tmXTI4hNR2tog7p1uITaPy/c2dx5TkzCm7jHD62bhumb584K003MAN+zECA5/aM0TmSIi0M0v4qnOpWYuMZNu0Z5boPnsXogCvYpOSLP38GLRNHROoK5xggEW5kMnwB9Xk1zF3M3FUqGzcazdA7mGKwR31Hzzp1HrlknHjvbto6GjlpabHeoJQSwz8xU3n+GUvxRyoQwuFXvXVs9reVWbfGkha7OvPjU+fi+7c9j5XNThCKAMGK4j6kdFi+dZBYMsdwLI2dTpJ14zcHokr0h6oqeP9lp0zYTuG4hY1u20gJy06bziVLpxFLWgzGD7680u7uOKcxgGOVr5PPDA5UVCAcUUigeHaTEvZWzikrDQVgZ9OApCrsY2brxPIsixd10FSjtmNu2Fj0GLvxkzNPOw3dMIgEzEIdxA88/ecJ23nLd74EwKzWqgnzhPPaetg80njCzuN1xdCTz/DsxZfTc2cxEFjmMmTu/+nLrywc9NoWzLbj0EIVhXXz87RIjeoR69hokerC07X10mPY659AC0QK2a4ymybz0C/IPPiLwuaNtkVoNc3qwvYy4Upy1/MY0xYghruxnr+vMN164QGsFx44mFPxqiJTcazV92Cte2y/y1ir7iF93MVY3Zv3u8yrgdOzdeI5PIBYllKSmXMWuYQrQHo2ItF461fuRkqpirY61oS6gxWhotvV7zPxDXdiN8zEcWO+7IaZ2I1zcOLDOA0z0XUdu2sDIlKHXT8Do3ejCo63Mti1bW5bLkjPPlsdh/vQIG0LIRwQTuEBxlp1D/tDZlNYL6iM3UCJxcXsdWOafAHkuBILWknChNU8l1xdx4TtWavuQZSUerE715JedAmypGyLYzv0CYO9o2k27VE3/7zYyQf359F0ndTIAJqm8eLafgZH02XL90tl7Xp+KFWyjhJpwq/mOXVuuMRoMYi+lNq2OWiaRmXLdKZPqSTQp+LehgaTaJEwlRVqe7uSRbF+/4outu0o1l/zazbjfbsnbNuWOkJQaKP1/a6GMgtaXX0lQ9tUUkJex9mOw/fvWIfhD1HRPI2aaTOpdF3FVkZdgyoam7EzSR54eguXf/1efnj7C2obwkEKwQ9vU27zcG0tfxtS41504jxmTKlkemOERTNUtuhuWYE0TZrPOoW5//ffHP/o/7G1O0nnwMElx+Qsh8HRDPX9ezB8vrLPL580Mtq5CTubLhyfz31oGI9FyY6P0N5YjG9smjOHhhkzEBL8AT9vv/R0Lrn0jMI2Y2mH2ko/i2fWEZA25//bZ9jZFWfQtajqpsnUhggnzamndyjF2s0jhSLLDUtPLGzHME027RgjQvnv9OS5DUhP2B2YdevWTfpav34927dvJ5s9+MwqD49DJTugrGm6r3hBttY9cVDryvER9LpW9JomtEqV6p8XeE7fDvAFMdoXk1t9P+bc05BuKr7TtQmZGCvbVnbFX8rfP/E7ZCaBb8HZZO77T6RhYvdtR/iKsXhiuBuxYwXCrXelNXW87Jitzc9OPA4py6Zb6x4/iKP/+7DHR8jMPJ1cXZtqh+YUsz1zy+9QfUPnnqfGE6o90KaOKPFYFMtSLbus9Qd3XmRsABmIkJu2GD0VxW6aw5pd7mcvVCi7ZmfLCub6rSSmYRB0LTq+vi1KmOkG+zqMhF99Bwyfn8wcJdryNfKc6hacyibVZcAMkJlVvOHJrCtGpcCumYrPTiGEjb1nPZlZZ5BbfgdOPou79HiEILV4GaKiHj0+SE1FGEPXcKqn4HOv+PkED6eq6H50qluQ+1glpW2RaV+CtfEpcq5Y1lxXm0DVexuxTVJCZ3d/gp7RdCHeLY+ml99mhCuQRzpV+Zdczuasa29j+RbXRezGocVGo4V17GySoM8odm3Jb6tzLed/7nY1ftfy3bzgZGa6JUwidY3ELYm1px8r6xBP5Khqn07GdWuaJRa54R0biPWUxBka5eOuaHStkxJyicmt0r5QiPG4WwtRWvkTQO9ICtPdXqS2nsrGBsJ1ymVtuiWRaltVdxspHHI5m1195fvIP2jmY8oC4SCpYC3TGys4cU4Dc1PKbV1vOJx4zT9ywj/+A207X2T6mqdJRFMkR14+PrN/KMWG7WOkMzZTR7upmTqVurY2Qm5cn2aYBYuslJKXdikRb7nFnUNVylqmR4pisKqpiZrWVhJpi3TO4Z/etoiFx83gv7/1fqbNmMryjQMMRjPMrRA0zmyj48xT6O4vD1GZ3hShrdpHeNEiRmPqs/vX1HY+9uTt5eMfTlOdKT9vi5J7J/wmj3UOWdideOKJnHTSSRNeJ554IvPnz6e6upqrrrqKTOaNVTfG49XBCLs315Ks0mJ9sP3j9GyFXKpwUzKnLyBw/v+HXt2kmrFrysVUqDvnD4JhItx+hzJX/sAix/owmqZjNLdh79mIXlGLXriQaxCuUf/7Q4ULct5FKfItyMaH8Z/xTrSqRqRjF2vg1baogrQvPICMTtLNJZtERgeQ6ThipAdbNwu1yI4UDgYiUovdMINc8xwct1CzSI1j1bfjDHYj3YQSu6EDEe0/cn1J98GyncK+hOHHCqmbkI2hRHDL3EIrqslwStoiSVeEbeyKAlCZGsCWGpYvgu4KO0PX0d26hEG/j+pIEM0wEG6smlbingeQgQrIpcuboUPxZpN342kaIv+9AdB0rIYZ2Jr6rmumH5FOYo0NIMI1ZKefgBWbGFtmlfwexJj6rlWGQ+ALEZRuXFnv5H1pJ9RmS48jqprITVmIHaxU57kkXk8CltRJ5Wz69g4TT2ULx5JNxMglx8klx5Guey5cWxT9dkYF6At33nrX0rd+Rx+nzq1n3aqNxXFYGU6dXceYrwbplp8REmx/BTlXVOTcBIT/Oq6biNskvqJW/c0mk+zZOsJ4TmIE/Iy6wiEQifD2t59DVb0679lErJAwYZW0v2qeO5eWueXFdkvJJ8oIK0N8UCUtJIb7kMIpJIJUhEw0TRKqDFDbHKGyTo3NX1FB84KT0fOJFJkEjpWlfzSFm0ONk0tPiM/76LJF6IbBmQ/+kotuvIYTnvsLl53ZzqxEH2/7wVdZ+uH34PMfWvb9pp1RovEcQsLMsd3UT5tKZWMjumkypzFATVMTp5+jwlhq6yonrF/V0oIvXEF0PEuotp4qq1yg9Y6kSK1fwabdYywceJ6PXXURAGPjWc67+YtoAfehQUg6Worbn1oXZurYngkJHZPRZKnvwclzG9A1OOV/f4juf2PF2h2ysLvrrruYM2cOt9xyC2vXrmXt2rXccsstzJs3j//93//lV7/6FY8//vhh6Rv7jW98Q2UPlrzmzy8GmmYyGT71qU9RX19PRUUF73znO722Zsc6QtB4/tkThBZQuHmUvs/f8J0u1w2llVzodL1wI9P8kfL4F02l0FobngbAaCsGyUshwOfHbJqG2TgVa00xo05t11ClTwor5NdzkIAmckhNg2hvYV9yfKQQB6bpJvb6x/frPsz3qrW2rsDatpJsxynYO56fdNnDhSi5oNpNs7H3qPMp+nditS4kZ1uFVlkA1pbnyoqpHkmSmSy2U/ysRWUTmp1VsWNCYDXOItt+8n4zHO2S0hr5DgWtzTUARLUKkjYkhUnATlMR8hMO+gn4zOL3LZvCqXYznKVE03WCYp8HW+FguOcwlBqadBx5t6iuaYT8Jug61pT5pCNNaE4OHYkMVpCdqeqIOTWt2BUNZTd8KRwVk5c/tpqp7rBcK4tj4cvGkSUu2Eiw5KYnBdLOFY4tHyvq1Ewh174ErGyhc0Y4OYDs2YrtCPpGU0S7dxAbizKzpZJQZSXR7p2MdW0n2r2D5tZqlpw2u2BVK+yu5DOpCPoQ8WGuv+0lVm/qYaRfHYc/XEmkvhnT7yMZacbapr7rKaEzOl91O2rraES4iSdf7ptLb8wqNIwHaKoPszdlI4AP/vVWRrI2F5ysLGR7Uzp/Pqv4eVXXBNyxqfeNs2dT0VAM8AfoOPVUOk5VsYlBv8GbTmxFODbxvj34S8ocqd+ARErJ0NAodjaDpmmc3VS89Zo+nZrGcMGd62RTZPIPdO4gsuMjhc9kxhQleB7sV+P071FWxuqeXSz46beZ8vufsy/S78coyTJ9OSrnzmK8Z6TQYqxp1iw+e0oltm3R1a0E+LcuV0I3f57bmytoqAnh8/tI59T3+KM7J4YMrG85hZ29cVa3nsFwovz7oJfUmwvZxetJ6+pHaLn15oMa+9wdz3PxKdM4bddyLjxl2suvcAxyyMLuhhtu4Cc/+QlXX301ixcvZvHixVx99dXcdNNN/PCHP+R973sfN998M3fddddhGeBxxx1HX19f4fXss0UX1Gc/+1nuvfdebr/9dp566il6e3t5xzvecVj26/HaREsOM+e8FiKypzAt57bpydzzE0TJTS37zG04ezbss4GiQJGZFM5Ola2qt84pZLECaIlBfI1TJrh+8vsJzCvP7jJqiwHcgQWngihaPqRrLdLtNE7NNJyqFuzGOYV6VTI2WOzpqRsHTFAACsHJ2YaZpBe/BaDw90gghSi4pfNk5qhsNavWjROaehyakyuIl/Sit5QVgz7ipOPEksUbge7e5J0RVTdMBiJYJVX3S5HCIYiFBvhEFplJsGtEWYUu+MoD/PQvL5GVOnJ4N3r/NvTUGAgbuWsVUkpEb0nCgaap5AhA9u0o3QmyczUBn1nWN9ZvGvgLiTXq3Akp0Xs349SrUiF6fLB4PFXN4MabmYaOYwawNzxZ2J616h4y884FIJgcBMOvEnVirlAY60P3h8r61Op9m/Gl3EzeQARr9b1YK+9SXTX2SabIvfgAmbyrXdPoqlnAeZ+9neUb1ENKNpOjtT7C8K5NZeuNjqbY05NgtLPcuj64ZS2pUTU2R0qGfPUc31FLbWNRHAlh4/MbdMWyxJPZgpgrfXBomzExgaKtqWilHR1JFRrTh6oqsRzJNDdxalqtn9lG0X0XjyYJVFSQGlFW6UA4PMFSZPr9BZfoibPrWbDmocK8zD5WVCs9TjY+VDTRahAzlTh7155H0TQN029OyHTVNIldmpyVT5zZxxBe6yirmC4F0+LdMEk41Llf/ywX3fgvE6bvj7O/9HGS6eI1zPD5mBoRWFmH3k63D3KNOufTGtV5XiBGcITquTuyaxOOlaF6fGIv2c4hNd69Y2nuX648DacPqRI8eliVwKmcO4sFcqwQu1fZtwd9fJzTP/UBjrv6vfsd99QLzqKuazvHP3U7Hasf5cRH/gBQsAq/UThkYbd+/Xra2yfW+Wpvb2f9evXhnHjiifT19U1Y5pVgmiYtLS2FV4P75BSLxfjVr37Fj370Iy644AKWLFnCb37zG5577jlWrFjxMlv1eL0y+sRDmOEQmvs0l3nsVvyVQca2ud839wdsbV2JHOvH2vwcAFpFHRj+gisWQAsW49/0cBV69eSdU/SqusLNWEQHJ8z3tReteVbecqabhZZkWv107EoVyyQNE+lzx1AIPtfU1drwYS46v5Cha8w+tazWnXRsFVeVGCO1eBlOTWvZOI6U69MZ2YvVso8bSjcRsUHEPlbFSElCgdxPw/nDhRCCaEIJsKQW2HcmAPZY0YKfa1atj5zB3Vib/4ZwA++lbmLoOtUVYYxcCgY7iSVzhcbxlu0g0HCqp+KgIYb3IHq3YjXNVZbWhmLbpISjM2KbCAkDDQsZGxrGkRA3K3GqWggF/FiaSb+lREEwF8NAkBjqQ7gPA75MFBAIn3LVicoGhBksixMydJ2KUBDpD5GLFK1JuSnquxjwmYWyPKLzxUIihlM7DT2obp5aTp07LZvEQGJogG6SWryMbNtJiOgAVrMqQq+7mbHpRW9BhqrRpMDWfIXOCPmgeieXVs3m97GOarpOJlPq5i0ejeNa35NZgTQD1FQEiSfUsqGaBgKRSlKxKLGkxeVfu5dk2iIxNsaybzzMHx/fypnzGln3gnLb+iNF991Zf1EJVbWVAaJuXFbT6eqBrOXc0znl9v8AYGt/mi9b5xXWS44MEOvZVXhfWsT3sjPbqasMEPAZNNeGuOzMduY+/QBTtpRbzGvqyrM/hW2hOWoMmqYxnlHn89zdykrfVl8iHt2/uVS5S79QTsUaLxR1BtD3cZ+bFUVBm8oqa+65n/0ISz7wTl4Oo7aG0//1M8y7+NzCunnWLriUTHyU1Ij6TW3vVTF7596tLGlztq0inrIK8YeNrc34rYkic9UWdQ1dtblouT6rWyWGVExT17sPPvg/TN/0PG9ZOh1Ng+DoII4jOeHdl3H5zd/a7/g/eN9vCaTGaXv+cULxUaa9pAxB2fiRvRa91jhkYTd//ny++93vkispN2FZFt/97ncLbtKenh6am/ffYP1Q2L59O62trcycOZP3ve99dHUphf/CCy9gWRYXXnhh2dja2tpYvnz5/jYHQDabJR6Pl708Xh/4wuor66QzSCmR7hOhGXJdn65Ysl1Bl28HJVMxMHxgmNjuk7heWY/eMrNs+zKbKovfAzDb5oHIIWJD2DteKBOEajs1hf/trcWCr0aNasotEqNIN+5L031gqIuyg9qPuUBZv/xL344eqUamYuhTZmM0toFtFQWbawFzhvZMem4KGb6HmXxB28qwEqSRoB8cG2vH82jxQXyDO9GzSZCiUCEewJmkHuBhHdeBMt3cpBjbX1KYt2EGMpPA2rMBO5fB6ndv3lIWamDJXJpE4zx8OjTPUEJfM3QCMqdiLiubEcGaorV1tLu4fQkJYWJJHVuq+dmaVjJCJ0UAGaxCSkFWVyI0LfTC9zdR047lHk4o2oVWerPWdIRuljUyL2TkGr6C+HL6d2LXt6EBoYC/8FuQgQhCM7Dc5vZ+zcEc7kT6w1SlVDyYFqwgTPGa7lS3YPfuQIRrMHQdX7A8PjAU3YODxmY3Ls7ArbNnZdlWks1achCF/6qnTKEsbdwVgUlLsGcgznA8TS6pbsQ109qpam3DymRw3O//6m0DjPb30zuS5Oa71zKzrYG+nepzqJmuxHs4YNLQqbKzz17cwpjbASHRr0SF4RZHPn1hE46QrBkzqHSL2SIlTslvqdSSdtGN13DW4hZqK3zEkzkuuvEaZj91F2Y6Q/0MVSrFDIS4/uzyRvRSOGRT6veg6TrdQ+W/jZF4hrrKAOde+qbCqcm5NQUrm9R1xHEfomoNm3OOLz7w5c9sPiZQL/ldrFgzwOMrJs8cnox/6VnNm//1WoI1VYyNl4uywfFyC/ymMbj4lGnUdynLZ1VXeR/ijtntkMkwd5o6r5ftUslMeUvgYFQdz9L0HtrH1TXZ5xpuqloambbmKS668RredkY7wVSCROrgPADdPRNFXKhmYpmVY5lDFnY//elPue+++5g2bRoXXnghF154IdOmTeO+++7jv//7vwHYtWsXn/zkJ//uwZ122mn89re/5cEHH+S///u/6ezs5JxzzmF8fJz+/n78fj81NTVl6zQ3N9Pf3z/5Bl1uvPFGqqurC6/p06cfcHmP1w7+SnXBDDdWITPFi2O4Sblu8m2YzFknl68oHNVGzDAZ/9NP9rt9e8cL6GH3qT9Si+/kS1RWpGGSfeL3OHu34J+tUu2pbkZrVNYare1ERC4Ljntz1I2JFrSaVvApUScB0dihpu9bH03TKVyuDaPQKQNho4UqkYEKDJlvU+QQCQbQ7RwyFd3vcb1SpJRYrQvVIWkaFaEgpmGAYWI1zMSaugircWbh5iylpDIcxJR2IRbrcFoSpZTFeLGSenn+3S/g37ue4JYnqAwHMdwYMtv9fPxu0VNrzcPk2k4iO+sMclVT3G3JYuamsEmaFWwfSqJpGscvmaHaOjl2IeZRhGsKMXVOWCUSyD3rGcmocZnCQpQcdyqdQSvUn3MwNTU95pg4kTrIpZBSkjQiRIZcV6Vbwysv4PRMnGEZJuiKrzLXoBtjZ3euRU+OFgQ4mQSyfwdO1RSkL8iI7bZJ69lctDLGB93zqrKDK4IBdNdymE9CiQT9BP2+svIuTnUrmm7yTz99Ur13BJquE4hU0Tc6MTZUypIYSMdB0/VCGQ1NN5gytZYHn+/iH2/4K5mcTSY2QlVrB6HKAKEKP8K22bt9G0s6qvjXX/2NdEXRut5Zcr9vaqlgYXstZy1uRkNy/kmtnPyDLxJZoCzOb/mBiv3uekyFPkwvCdX4ylnVvP20trJxKxFazuk//QqGFKRz6rzXNITxZ5KFJAk7m+am4Q6qp84oW88XqiRSr0TaeIlIeUegh9G4ihPtjVkUg3Lz56u4jZopLZywaxVn/vyrgBKtW7sTPL9hiM07VeZ+uGFiUsOhYpgmvtZWGjJjzI92Eg6YZEs6XLz1srNICINFT9/BwGCSN53YSnZghKbakgcAw2DTpkHSORufqXNuz/NcvfMvE/Y1xQ1ZWL52AH+kpMWZ+7DeXBWgZ1sfG0tK0RwIIcqvN8+teePF3R+ysDvzzDPp7OzkW9/6FscffzzHH3883/rWt+js7OT0008H4P3vfz9f/OIX/+7BLVu2jCuvvJLjjz+eSy65hAceeIBoNMqf/vSnv2u71113HbFYrPDq7u5++ZU8XhPkNUIuniT7ULGGXL6Aa+7Z21Vs0M4X0Wsa0YLhMmExfu9vALDd+lSif1fBXQuq6LBW4940zABGRVXZfvUqVSZFajpaVROEXUucPwho+GaqtjkiUEFufAwnVFt8pK6ZUog7y+IjoweR8cEJ7cmMGSeg16ugd80XxFp9D2J8FGvtw2i1rUjdwO/WJ/P5VMsqQ5PY1hGIaXOsQkkMTdMKJRsAbDcGLGAot55EQ3a9hC5s/JpEoCthuPLwxNsCpLI5Ysk00UQK4V6+fL0bMccHMcf24us4QWWtBkpqpwmbQFxZLTIzlyIiKkbMqW7BWnEn0rGRQ7uRiRHsKnUjf2blTqKDMSIVQVas7eZXT+yZNPYx3yosrQWRZoCP/vARTvvnO9k2nOPsf/oTZ117G9tHHZZ9Rd3QpJ3l0Y0jnHXtbWoDmQQ4Np+5+UnWbuvHcHJIKXCa5mJm4uidq/FlYjhu2RzDyREoKfXj95nouSS55XeQXrwMEakrWE3T0iBe6QaPuz1hbTTsUA2hgB9d2NiVzdhVrQzYfoQZQI/14jdcgdKkLFC6rrufvYHPNDA10JCs21u0jGg6vPPMGZg+k6xT/I40zpqF4fMR27uLsd3KsqMbBlIIKpvU78wXDhNNCEbjShBGXetadUsTuq4VOw5Iye4RJdgv/Y5KajpnYQuRiuJnnbEEs6ZWMffO3wIwd/sq6q0YmbE4FXNm0HG2SnjouOgcAFr7i1amX41NZ6teIuQ0rUzYLexQ35vK+DA90fLvgunYSFeM109pRtM0alobC0IOVKxdqLahTJTv7hmnNqHigqu0yX+/ydGiMKlqmUJT5yYiowO0NVewYPtKoqMp4gmL8aRbJsb8+4UdQNPi+bxr+0O8pfNpbMvmybVFy1/r9CY0w6DtxSfZ05fghOcfYGTvaKHQMEA6a5PJOnQPJrFsQUBYzO3fPmE/i4e3MTiSJp1x8EeKls78dbvx+acYHx0nkz2Ahb6E0hZrwEGvdyzxigoUV1ZW8vGPf5wf/ehH/OhHP+JjH/sYlZWH58t0IGpqapg7dy47duygpaWFXC5HNBotW2ZgYICWlpbJN+ASCASoqqoqe3m8Pqia3oCdzpKLF611uZExKK2Vlc90DYTQItVk7v+vwiyZVnEr43f/rDDN3rpSxa+99DjO3i2Yja3KEmelkaOqBInMZTDqp2BOUfGlWnWLKljsC6LPVg80aDp6MKKscfnsW11HuO7AvKjTU2PIvOtvcBeyrxigLnasQBsfRHfr7OUzYMVwN1LTSdR1IIKVaIbbj9Etz2KaJs5+irX+PSSHirGyYrhLCVEt3+ReHYMvEMSJ1ClLlqGK3+q6Do6DTIySmXka0USKxPCBLen7YneunTDNKcmGdoQkuP1Z/FYa/xnvxH/GOzEapiHTcbSxvoIINYVV6BBS2lpLs9LkWuYh/BGkBDG0p1DfzbYFds5hyE3M+dvGXoS+T403t8SMbVmkmufyxNruQnHeXSXdFm57YiuxZA5Ge6B3C91j6hjOuvY20DTiegVrdgxy93M7kYBdozwIgYyyUISiXQzG0vzPI5vRsmlCAT9iaDcA4YAfHIfU4mXFcQkHsWMFthkg7S9e2358x4sIIZHBKvw4BLBV/Tw3Fk8GqxBCYASK8V66BmKku5A9HgkGCGWG0YCS2HpMv49xI4KQAp/bL3farDaqW1qomZYvxKtctL5gkGBlBb5gkPYlS9B1g7GubWTSStjlq4zkLTalzGytKXv/L/9vCU89WB56s/gT/4/Z21Wc9XH336q2mUzzTy89TKhK3afO/8qnAagf6OKyM9uZUq+Es1PyGVfW1eEPKaGydEETJ7H/tnSZVBbDZ1LT3Ej7wnnqXEWCVDSVx8FW1IaI2GmCbsLMru5x7JEoAHO7VciDWfpQAmXZEv5wmIgr9E6YVc/Cx/9UEC7ZnODxFb1o0zoKy/89KQPV01tZOLqTmfG9E8rgDMQsUlkb3bFJpmxm/e1+0tEEoe0bVUHhtlaiiRzOPtb6kGtJD1tFd31TepSuPvX7DJfEJg6NqXM05Y5fk0m5lQQOgnjSImc5rN0yQjL9KiZwvYZ4RcJu+/bt3HLLLVx//fV861vfKnsdSRKJBDt37mTKlCksWbIEn8/HY48VK+Fv3bqVrq4uzjjjjANsxeP1jBnyI3I5DL9JZizB3772R9VerOQCUlruQTN9aP7AZJsCwHfyJWqdVBynU1WLx8riJGLFArH5fU/pKAipSVtLlPpMSv83802q3ad8KTFKUvmxMvhOnzyb23GD1sXIXqThA03Hbp4DjkV1JISh60grixEM41Q2FYTg4cARAtttGRXAhmivEqLpOFXhIKGAn6pwECOXKghNUdWMiA+B4Ucgcfp3IcLK0mEHD+0Byh7pmTBNS4wS2KUCziXgm3ki5sJzCvOlbSHGR9DtNGFDJRlIw4dTXbzBVoTcG2cgjN04U7X0qmpChKoR2RSVuSgARiBUKPewbtcwOVviCKncln3byfV1Ikd7SVqS3SMZ/u3XyvJ79qJW+kaLDx6PvNDFzJZKbN2PCFTSXFPqrjJJ6Wo8j7y4V1nWAhFyQit2VgpXsXJjDz+7d52yLlpZ5PgwcnxIlSYp6V1cHQkh7RzCDJK1NWLJLOLx3yEl3P7UdkbG1fcu33JNSokjoWtwXIlbM4jPNKhy3bnhYEAVcB4fLq7jxk4Gcuq7Vt9UBZrGppgKP/AHleAPuJ0V9i1DdOLJc5m6+HgqGhrQTROJxMllcdzfWzw6TqSumOXaUheiaf5J+Cuq+NAVJ3PSrGKySChoMtpXntDU0laNYeps2RUtfi/2GUOwpood6wap6dnFBT/+HMtOKhdgAKZrFT99YRNv+tsfWXrrjYV5bzujjbedoSzWKX8FazYOU9nYSP2sOUTCvsK5rWooftaByhqmNVfz2S238bUHbuAnT90AgBhTAv6cQTdDv8QqfvYlZ+OPRAiXhBx1d6mHhgtvvAbDyuG4X9L8EWolPVW/mtrOl6PFeoCHwumffH/h/7d0KgvprDPPZPmVATbtHsPOWjz3YtGaKDUYJYgZCFAZdDO8heTf/nQdP3nqBna64/7JUzdw43M38U9rfwdAX3+CeEJd5zrOLGZrZ0tcqraQ6Pt0MNkflUtP5dkXBhiNZln50uSlhY51DlnY/eIXv2DBggV87Wtf489//jN33XVX4XX33Xcf1sF94Qtf4KmnnmL37t0899xzXHHFFRiGwXvf+16qq6u5+uqr+dznPscTTzzBCy+8wIc+9CHOOOOMgkvY4xhE07ASKUJNdQRrK3CyFk42V3bhzj79R/AVxZy0LVXapPVEAJxc8ekzX29O7lNUNv3c/Wj5eLlIHUZzSSZ4dQtazcTYG921VFDVhExNTBwoptzLgi4UQh3TZIU3hRBk3PZSxvSFmHOWFkPQB3cW1pF71mDoOk51C7m1D0/YzitlPKWsVboGAauk7ELPJjRhq9qSUiB7NhJ2ik/gTqVy00g7RzaiLI+4ovZQ4u0y888vW15KiVPVhJ6KoVkZhKajV9SVnTvZ9RLCcRB1bdC1lkjQjylt0DRCAT+RYABD16gIBQgHAmjZpIpjBES4FqkbWG5dO+k4hbp29dUhYoE6Rh0/aanjoDO24CLElhWkfRX8v2+rrgw+QydnC37wpxcKY8paDn6fyXBkKqKysdDzE0D4iq6nNy2egu22yhp1fOQM90aWHifruHGFSGTPRuyGmciBncix3kLZjUgwoM6FBKeujd891ckXfvY02qyTGd+ryvZsGrTcc6k2nTQqGLZ9vPf6B5QwSJS3A9OdnNpXtA/ZpR58HLcQ86gIcvkZHaQtAytno+k6UlJoJZXfRlVjeSkS3cphGsq9q+s60hGF5dubKkkO9ZCOFctkZHIO85t9mKbBnS/1ctUliwrzvv2wis8qzYbNMzhSfHi68v/+s2xe1ZQmRlz3dCpu8e4Ti/XOzj1PxdDmHwjn7nqelq0vogE7XHGy9HffZcn/fJ+egSRrV+5ESFmotdo3qj5fyxYEfSZ1HfMx/EE03UBIScDJUlHpL/yWq9asZtHwNiJRZRFsKanV2jcuaJk3j6bZs3nXheq4AyH1/cyvP/0tb2LhB6/khGveB0Dn48XQEih2qjhUatumks7YRONZzuxbC8BxU0JsnaLEVyQVI5NzIBDg+Q1D0NDEonqduSct5i1vOZ2gT+Oc7/wLAZ/qxtIzmGT77piKWQY64j1ct/rnJF2L4wU/+lrZ/nfvibJtt4qjrTnhOK687SDaRgK6r9zS+5afffcVHf/rmUMWdtdffz033HAD/f39rF27ljVr1hReL7744mEd3N69e3nve9/LvHnzePe73019fT0rVqyg0b1Q3HTTTbztbW/jne98J+eeey4tLS3ceeedh3UMHq8tNCCXKF6wl/7zxRgBP1YiydY/FS9oelXR5WbUNoFuYLkp7/kn2sz658DvPlHbVkn5EcosgFrdVEgWA3c1049mTrxY5osmS8dBr6wm98LEllZaNqFqnOkmunSwhnoRiRgyl0bsXEW85XjiLccj+rYid6kM2/RxFyEb2kmYFfjd+CrdziBGuhA7VmA1zkbuXOkue0khqSS3/I7C65VixPoJBwNQkiVoNcxG9G1TxxofxGqaC7FedDfGCDMA3etxaqchdB+aFAR3uSWIJil/MBmOWz9NDOxSx7DqL2Q2PgOA/6SLMWL9Kpt1n8QTO1Jf6DJhNcxW4sH9LANuPGJpvJj0BQsZsQASnZxU73XTJORX34lgRN3kHTTijslwgyorkj3hLQzFSgozO4JVW5TL+eKTi2KhrkqJNCnBKsluTQijEG83nlbiN18KxdZMrKa52I2zkfleqbqB7SZsWE1zcYQg4N64fa5rXPYoC03Odti0Z5SB1pOx6pR7N+MG/MsRlVmtdKD7gBAfKWv/ZRo6uMlIdl27Ku8iBaTHGUkLnt44wK6sZHjHBtJjw2i6hp3N0L+lWMOuImSim8XPSDdNApqyfM6bXq3q/uV/a5rGvAVTMf0BprWrB6dFM2qZ1lhB0h/GNA3SmSx3bS9a5HGPuaKxFX+4sqwose2K4T29CWadV/6wb/r9JONJHFtQ6cuy6/97V2Fer13httFS22rbvBrT/W139SbY0zNOaNd2gps3srUzRibr7Nv3vlBEOJ21qWyoVtccYTEYzWCUVJQId0wnM5bkmo2347dy1FcFCEXChdg+TdPwh0KYgQC7UZ97KmPT3Vd80Dr5/e/kiv/6DoveeSkAs5edz+HA9PvZ1T3O7p4E/lSCz6/7HzKaj60RlRRyVqf6TS+7+VvEExYnfuBd1K9ZQV1dJTndpDViMPeS86h2O2zYtqSvJGPakIIpqWFGolmMmmrO+Pj7y/ZvWYK9/UmGxzLMv/wtzL3o3IMad6CyPCP5YMq8HGscsrAbGxvjyiuvPBJjmcAf//hHent7yWaz7N27lz/+8Y/MmjWrMD8YDPLTn/6U0dFRkskkd95558vG13m8vjHCIeyUujDmxopZkU4qg8hlCzepCZmmhoHIpJCOQNjq5pZ+9h6E+5Ts9O7AaJ1N8JKPAuppPfbI3eizT0cLlF8o0A1EzuLZS95B1/8WexXqC8ovPPY+ta0AdNOH3jIbYfhU8P/i8xEtc5GxgfLaX8kxHLe9ldTNghgw3BuvLmxEYlRlZWo6TkWjEn26jrBzSClJLbyQ7LTjyU5djJjErXkgpJQYsQFCuTiGriPGh3FC1YhApdpHXmi4cYMyVEsgUXSJOW6tPlFRTyQcwj/jBPTE8IQ4QGdgV0HEWS89WnD3WSklwnP9napXaV0b2Y5T8HetQQuE0SLV6K6VVcYHkU5+HNXK9Z1UcZcymwQ3rkfGJ9YgRDcw7CxyWCVQxbQw//vUTkIVQXTDQHfdfD29UX56x/Os3tpP/2gSy3b48PcfJuar5mu/eW7idoHK5lq+frUqZTMQy3D7U0oMx2LFm7KbJ8BHLj0OiUbSTTy49j+fIJYpPly4nirsYA2yxKUtjABGOkpNhftdiQ1gN6gSPis2qnNtO4JO96fy07+sJTu0F6d2Ommhs7kvxVMvqTjSaG+XKo2y63nkWC+RYADhltwo7G/PS+gILDPIjv5xUhlR7GHq8+FzSwEF3FpqM8IOi2fVF9afceqpVOoWlSEf01IDXLhkKsKN36ptqmEwIwhVVRFpVAk7pyY6mTGlkljKQjiCh//0MLqh4TN1KiKC/p5B/OFKKhtqqG2fw8mV6toQLSnNkXcBTkb/HnVi7FiM5rqi27Ru+vRC39PagfLyQju7x7GyDpGqolfAlnDyHGXJ9Jk6C+qLViNfwCRQUYXhClyZLQq7z256vJAcoguHMxe1IKWkceZMZp+lvjt5sRpNq/McS1ps31M8pmlLlYVx5jlL+dfUdq746fX7Pd5DpW8kzWgsi2Hq1KZGsR1J75j6jZ61Rz1MnvCetwOw8IqLaVijxN72vTGcWJRApLxMTl5sl1rik2mbc6771IR9V81XpWvWbR1l6qknHvSY2886BSlhyeevKeuY80bikIXdlVdeycMPHz53j4fHwRLftBXd78fM94stEULCdpjx5oUFQ5tMjfPSD/9YXNm2yA2PkBtPkhmJYSXTGDX1pNY/R3DZx5GpGCIRRboWPM0fYGCtCo7PJz1oTTPRZp4KVU0kO3fjjA2y7cbvu0MRIAXaDDdGxMmBbpByi6BquRR6cgSjphnHdT2haViaiQhVIWP9CN1NiJACqWnk/n/2zjvMjrJu/5+ZOb1t77vpvSckIRUwoUmvSpMiCiiCikgR7GLBAiIqFhQLTVA6UlMoSYD03naz2c323bOnl6m/P57Zc3bT4wvq+3v3vq5zJefMMzPPzJk9c8+33LdPRKZlSUK1ySiGSlCNYCkujILqnD+p6SvC43TgVBOYuoaV6AXFiVFUg1Fci1a/doAThGVZOXHZ/rAsSxTYWxY4nCjDpop6QacbM1iRk/kwg+VirC2ia7n9ov5vtUhJWiEhNwG2t2pRFZKaRrelDSzLwkrH0fduRm8RhMfQtZwHrVYiUpJqzUTMUDlapShIl8tt+ZJYB+4usS2zqxErkxTkLte+bEfhUlEhMKxlcg0HlmnkbLNCfi+KlsQMt2K8IyJnv3hhC1pWkI3dcQfFdeJh8bHl9Xzpl8v55/uN7GjuZUdzL8mMxsaGfASpqjYfKe7IWrxRL1KKzZ1x7v/7OowVT9OckqisEeOSXYI4vteeRDUhbjoIxzKs2dnJ6r1xNEvCtCCWzBL0OnK+qADm8keRsDA78mK6Zrd9zXY1salR7Hvnvl6eWLrd/n+ESMEwQMitvLu1na89LKQ/2ovGY8hOTNmBGd4n/r5sHcicnI0kYTpcJDMaqmGyb5+IZLv8QcYMKUJ2yLh9PmonTwagtytCKBlm+PHHM2zWLCRZZmbXdk6cUMKUfRu4oFrJfWeZtMbOnZ1o2Syq4ubEqVVM/cdDzHj8PiCvWxjujjJ7wRg6Gvexeun7BII+HC6FQJGH4x78OivWdrBuaxdDzljEsvcO31AU6ddBecKIIPMmDdRfnTKyGKdd+9f/70Vx5G+dks/Hp958guoO0fGp6SYn/XkguSqsrqNkiCDcG9a38l4rubn1ecR+sKGTRT++kf3UOvBm82UdE4cV4Z6Wl3J6Z007gbISPir0HWVjSxyPliGaVNncYGsXKhJnPPyTHGE1VB230yKtGuxpi+Pv6cAdDPBBj4tl77dRctwUQBz38vfb2LLLbg4aWsvcG686YN9SP/1AT+HRN2cef93lfLnlA0799le4teWDI6/w/yGOmdiNGjWKr3/961x99dX89Kc/5YEHHhjwGsQgPiqsPE9YyYS32zZR/X8B7R/dnt1hnJNPIpOEZHM+QmPGI3T88zVRIG5ayIEQgVkLcRWXie5Zjx8r2okUFcQi27yXolGCWKWW/Z1sezv4i5Fkkcp7/xNXMOWaBRz3+UVi+4kezGhnLjVo9naTau8GNUPkqYfZeNv3UArKkSQZSRJkzaWnMSWFjOzBcPpIlIv0noxFonRcrtnAoci4nQ68Thm5dStWtB29ZFjOWqoPEkKawkwn0Bs32uuKH8f0uI+hrf1nbqxmGLkauv5QdYNYKk0qq4paGEnC6m7EcgwsXJaySaxwM3KiW6TrdA0k6J56Hrr9tXjNNC6nI1drZRTXkR0m5Cas3ja09a+RnnAy6QmLAciMPRG1S0QWpXQclyJjeQtwO2S8LkF65YBoxFAqR+AYPg3ATlUqWHvW5JtW+jyCUzF6HEVEpQB6mYgAWO27sBrXYvU0IUui4ic8bC7ZkXMwbAJdUFGI0y3OnZrWcfs9OOzIyu9f3sz194mmrfv/vg6AC+eP4KQFY4ilrFzqcf3GdhSHwokLxqLadZ3WpMV0RDJEE2I/33l2J4ossa8tSXOv+D7OvltIo/TEVXp0J526i/qOODidpOxUqrnuVRxjjsdy+dCL8zqcepnIaFhNmwn5nHx60Ug++9M32Lwn39Fp9Ss5KPDnSwpUZOKSB6N4CHrZKMze1hyRtzoaxfksGoLmDHLqbf+gJ5Kip16kXS1DpyjoxuNxYhl6LqV7xfbnGa92oDgcuVqvoeuWMfPpX1C19QMi37sL3SZOqUgvXTs3IiHq1erWLEM2DZx2aUHQbsZY8c93yGTzDynjyr25+javU6SbLQsWf/2LB5Ck/ZFIqUS6BXmd+tefMrJ124BzM9ItomuptMb6bT04y8WDlNdv1+a6XZz1mx/gKy0iIYvjmz66BFci2n83+AJuFI/dYJRVSTa15uam1wzBMC1U3UQ5iA3fpu58I9YEvYvYPpHq37wzjKqZ/3IN3dHAlGQsl4vWzhROUyeaVEWHN6KhYfKFoht77je+RPnY4dQ3R3PCxufWv4Er4MeyJEzT4sz7vkFowhhMC0wLusJpVm/uonjUsAHC5n34+I/vwjtEfOee0NETO1mW8RcXIsvy/zlh4j4cM7H77W9/SyAQYPny5Tz44IPcd999udf999//EUxxEIMYiLYdA+3qUp29mPbTfNeKNSgjphFvaKbquCFEdzWBJ8Cup9/JuVNIkkTxyWeK/9vehErtOBwTF2JpGSxDJ9vTk3uSVnetJ7Fl44B6rnEX2gXEi+36DdPAyiQwYt1YgJFKYmriZu5Se6gapiD7CkikMyTSWVxOB850vm6vL/IFdkRJGVgA7HE5ccmSEI89yI8ggJVNIrl9GGqWbM0kvLaorGQaIMtkbaFhAD2THmAen/9c3OR0w8zXHMa7MSSZLs1J1BBNEZbbj5mKYXoLRGOEodGhiMhBMm2b2WsZIcdhQ9S0ifSV2t5IauJpuWXqB8LHVR0yDaOrCcPlw+N241BkXC4XbpcTp0NBtgWeZX8hktuLuVukfqyOevTCWjpNL6lolHanIOWm3byRtcSxmJ0NGEhoJcMw+7qeLRNDchArHY2ak+RwozjkXIG6t6CA40YPNIIH+Of7jQDsw0F7XCfWvo94+x4s06Bj21pe+/ubNLRGyMREd16vp5Sm1m66d28CScKQFCYNL6WnuYlYb4xLvvdybtsZmyErmTjL1jahGxa72kSKumfsYpxjZ4uBtpNJ37kw9u2kc8p5jKwtpscu59vVEslt93cvbUJLxfjWn1bynb+8l/v8lfcbB9iWWSmR7uuJZ0TnuY2kKc5lc3t+mw6Xg/EbluDxulHtVONFu16huquJ8h3rBpwzb7SHor078CSieJL5Lm7druN02HWkMz54EQCnba3lLwyi2A0Nbz2/FLBdHJwHtwKsnCyaELxDD20Er2oW3a0Jwh1JQh1NTHrzydwyn9vBwuWPoGkGW+sjRGIqtzWuxDesjnhSI6NZ3N27hSkXnoHb76NUSzBuSCEjHWlky2Re+/r8uZTA6bIjUPuxzbm3XM/y99ty0iAB735lJP0weenf8JWX4K6ppDP80TjN9Meo805jxg1XkLFkVm/MPyiXZCJ0JKwcqVx0x424AwEqF+Wt2dz7mlEcDhK79wBQN3Mqlzz2i9xy04JYQmPyxWcddN8jT5rLLduXYrlceIv+bxK0fxXHTOz27NlzyFdDQ8ORNzCIQfwLMPsVnOtpYbOVicRItHTRtWkvlh1pkRUFM5vFFfRSPrkGhwPie1pIxmRcATeWaeKuyf/Qu4rsCFDVSJyjZ4KuElv+TxENNC0MWzPKTObrolqfewlfmXiC7LMT08IiHZdzQ9jvydtXFkQN9wrCBDgVBQmLQLwF2dQx3GJ7LjObI1QOUxNSHDbZtCJtmJoGkoK1W3RdWhtex1zyJ+htw9IyOF0ejLLhyN4gbjvK5bRvhkZhNaqmk8xk0UzANMio+Xmqmp7rCJXUNJKpYcW6MN0BMu5CDCTSpkIML5Yl3AdMh5eEI4hhGrlIUNoZxNr+bo44WuEWzLad+NQYSrJXCEiX1IEsY2vhogfszklZQWvaguUJIsvC6aKvrtDvcecikCC0BY1AORlTQvcVY7l8mEikbUKdNuUDai3NdBwzUAaKC8NXhBXvRpfyJLq+O0OwJIhhiJT0eYtF+kxXDdT9hE+nDBdEr67ERzprsWd3uzCAt6xc7aGhZunc14aRTXPh3KF0RDN0dYpUlpbspSTkwZQk0r1dqOkEzZ15opPWLR56YSOrGpNYpkkmlSLS0Y5qShhOHx2xNJopgaljNm/O6d+ZtuVcOJFlXXN+e7IsUuyPvLoVy+nl9TVNA47niaU72bOjHvaJqJURLBfNHp4Q0ZIRJDeLWsKo3bzU/8Ggbmg1hZkIBSE/sqIQ8Do5oVVco0XNeVHaM+YMoaszlYviOuzaSIfLhWU/nBUUFlBd6sNhEz29uY2z5w2lpiLA/iVTRUPH4PIchAi53bko0C3blh64HLgrtQvNgmbJhXPURAC8sXw3brGi4tlTz9ZdvTk5DhB1cevbTFasyT9gOr0ehrftYpbVxbxf3AHAmQ0D9+uQJb62/uEDhJLUZN/5FO89zvxt+Yw5Qygt8FBTKh5AC1v3UDtrKrfuevugx/Rh49JHH+CMH96JpGlk1Pz1f92mJ9nTmjhgfKZf/ah8kPq2sjEjDvjsSM0Nd0e25PQHB3F0+Jd07AYxiH830i2tyC4FI53B5VbIdnZDsdCRMnVw2sXjroALtTdCsM6udYp1svYbv8ER8BKsLgTLouxUkT4Ir3z3IHuShIuFZWEaFql3RCSpp15EXCzLYvMd3xQjbcKk9vTg6LNbskyxjYP8qIVXfUDbn/6K0bwPracHpcROoUkShsuP28yiZOOYkoJi6TgkE9nQBKlNRyHaLoimJCFXilozZfhUXCdfDWoGS80gy0LWw9svUuZ1O/E6FZRUhFRWRdMNLFnB2bN3ALFL2ZEWz653sWQhUWB2NggCJ+fJT9pSMAB0FQtI4CYje3HSLwJYUpfzuTV7W0QNY2eDkBbJJDDt1K7P60HOJlDrpuBSZGQs1JrJolty/1ZDbGsquz7OtCxMXyERw4nqCubK67SCKhyWTtSwSWrfHdPQMIr62QdKEmZnA6qSL4JvbI/i9rlJx1W0rIFqF3v7/E4qizwE7PTsBcfX8ZfbT6eswEso6KW+oYdwo6hjcwdCA0hPtLMTh9tNaYGX3W0xZJtsqskYnZE0rXZXrZqIADCkxMMPPzmOrGbwl9e38aVfLccp6yQ695FQgoQ1mayqk9EMUpEeJF3FUlO5+lDHzDOJp1TCsTSxlMkr95wLQLyjmT6dHW1vPuX49C1zsSyTZEbjoXc682RYFt9zVtVRXQHiY0/CXPkM9c3ib2HODHENllUUM2JYJe5UnOLKciadMIcFk/NNbK5shkUzqlk4pZITH/oakgymYRGPZJDsL61izJjc+KRm0GkX6GdVA1OWmPzAt3BJJsXDxg+4Hm4Zm0CSJEZW5xtKFv3sG9xkk7nrNh65HnzY4gUc/2Beo+7UmeLBzy+b6Gk9J8fRH8Z+Li9On5eaje8y/cmf47Aj/QEtxfdW3J8bo+omvlScMx/5GddtfC03t5a1wtbsY/d9C4ATy/PX/dyHv82JZToLAklOmyXmtfjrN+eWX/Lyn494fB8GSmdOzenlAVSmujFSB1rHdW7ajizBREcc0y5duGHLEj7Trwzkuo2vccOWJVSfNO+jn/j/URwVsbvllltIJpO5/x/uNYhBfBRYec4lzLxxMUgSrZ0pMt0Rtv7pBeJdCVKRNFn7SdFTGuStE88gp/JkWZiqxqh5ZXiK8jd/AOlg0ht92nCWMH/XW0SBfrBY3OzaXnyFWTefDE43gTOuAEBW80/5uLyYnhDO4eMJfuxcspF+T7DZXiqn1rDvd79l+YLTMOxCeFNSMCUFp9uLrKtiDqaFyxfCYWl44m1Yva1YkgKTF2FYMpLDibnzfeRAMVa8GwlJdIAiavLkfiKlkiThdDoxfIX5aTZvyD1R93WoyakIkpbBUVqLM9yMIxtFLxcG8/tHGbp1J+bGJSTsaENc9iFLEm5TRFk6CkdhWhZWbwt62Sj0spHo5aOxJAV1wxtIDgc+twtZkpBt6RiXy4nL5cIMFONxObEa3j/g67Faton6uIb3sfpL0MS66NDzZFaxpVdMXcsTTju9bbWKZg0MXdSSKU4K9QgOUyOZUXOF8S6Pg7c2inomE1jbmiRh3+Srygq47aWtPPTFxThKC+jcsT63b9M0ycbzNW2GpiLJMiva09z60FsDVPzf3dxKT5eIqjncgpi1R7I82wrL7G7VE6bU5LLvzZEsyAqLbv07frcDDWHPlasfTMXY3JHm9DueIdzVQ3djPSOqi7j23Gli3rWFALyt53UZn281SXWLfVWXBZE9Acyt7wCgtTWw6Na/s7dDpGWVoZP48bOCwLb2pikqLcRdUcvusI47nSCSNgj6vcy0nV02bO8hGU0xpHUnhQE3nmiYjGYiyaBmdEzTomr8+JyVlOJ0UD2kkgm1IkKzdXcvDc0xCrv34pQsbh/aRqh6WG7u3qBI0Y0odjJ+aCGbd4aZe8OnCFWKCHDZqIF+rfvDXV3Jnudf48Gx+RTi1CVPMHt8OeMjIoWYzRpYlsW0L1yT/46jAzttHS4XyWgKh/2bsmV3LxIQ0gbqWfr1NBVTxlM2anhubrM/cwkAdbOnsXtvjAmvP8mMMaV4XArBnnYmvfk3Jr7+GJOWCitNl088xA45YxF1dkfsR43F375FRLDrX6ci2SV+XQ/y8Drv1usJaUm83W25buSS4XVU2B2uIL6TkuF1XPjwvRz/tZv+LfP/v4ajInbr1q1Ds59Q+uvW7f9av379RznXQfwfhpHO15NkAkWke2IUFLro2dqCIkM6HMcyLYpH2l1t1oHRHgAjk68V0uLih8fcvUrYMLVshVQEALmwfMA2HF4Xm7/2HRru/REA3lkDtaKMuFgPNZ2LeLzwydvRkulc5GnPb/4ALg+hCi+zv3wqejKJo2p0fj+JbiQsFEtHMbKYnQ3IgKImQMvmJQIKKwELydSxMgm6HcVIgZDoVO1X/N0fOcHZZC+Onr041SQO2xM3mcmiajqWrODdvhSlciSuRCfYRNCyIGHul+6yLBxldRDvHvBxkZ4vGrcUJ6Y6kDzLskR60mnIbl+usUJ2+3AqCg5FwWOnjz0uJ3rhgbVRhsuPVj5G6LtZUk7zLewf6BzQ15Grtu/NkdKobuu8NW7Eiodzen+mJdLVFXo3nSkjV/jvdeZvXJmkRjwlvqfq2hJWd6R4d2UTqkNh1+5+xB7Q7JqwUFE+iqQ4XXSHD67hl+4V5FG2Ndkq60rYsKmdnc2CuL61sQXVbppo6U7yh38Knbpp1z/Ki1vjxKV8fWYk3ItmlyVYpkE2EeXGpzcQQ2w7fJA5fLBdROCCXidOp4PWwFAiVZOxLOhwi+aJy+75J1f+8BXayibi87opDnnp6uzh4+ML8Nh2kr7eLrwuhYDDonzXeuqbYvREsoTDGWY8+XNO+cF1SFjEkhqJaJZwXKVpRw/+4uJcZ+UpU6spKSlkTEaUQPTGVHpjKh6vk7Rm8evkKE7q91W/E3ZSWuBh7su/Z0y595jrzo6/OU/Wem2Ntbp1y5nWvI4hDaIByQIW/eTrnHnv13JjTfrp79lo78iTuO5+8xjd2wjAsCIHimXiCQYGrFc9dQJ3pXbh9HpoaktQuncbE1MtnDKzVnTIv7eawtY9DF0zMLX7qad/kyN5HzVGL5rPWY/8jEX73ueu1b9F101KJo87YNyMK85netsmRnTWY5RVHGRLeYSqKjj57psPO2YQ/xqOitgtXbqUQtvSZOnSpYd8LVlyoCDrIAZxLEi3ttH97iq6lh68hsQyTTRLomN9M2o8m0t7tG9pI9UhoiSSbcmTCQviVjGtDsNOOfbsaMsRLa2rn92MloV0/incSCRyXbeZ3jgOn5vI20uomiWesh3lNQPmlXrz7+jtzbn3ZjJGoFCk+Pp+/0sn1kDVCAqrRXSi9Wkhpu3pc3WwNdxcpobD9pKUTAMTBd2Q0SJhpJz8hAV1E8igkJXdZKU+2zItd3xWuMW2nurOETtPwypcPXtxTj0ZRQLfpn+ipCJks1lc0TZccy9EcrpwTF6EZQv99iWiylVRPF2qdQtf3PELcJbVEjTiOO35usryqU7D4cnr3W1eLo7Htr/ye/LpT5/Hhd+bf18Y8Il0q8sn7LN627BSEcyO3Ziu/I1Mlwc2mPRH335VbyGmBbJlkrYUzCV/Qpl7IZldazF2rkbS0oKkevw4qkazriHM2JA4VyVOcUxBW99MdroIlJbi8vvJ2F7AD71Vn/NA3R+fmhKkeLi4+ZmGSXenuD7LKwtzYyzLwtRVZk0ZjmJft+U1pWRj4QHEwbDrz15YUc/D/9yc+/yNdftIyjaxW/862YrRPP7mdnvjYp22thirNot6sEw8wlfOm8CfXt7AqNpCFs0byZ56QaK+/IlZ7LabLNRAGQawJ5JPQ9a3RrEsi0nDSxkytppsKsXoYpFSLy3w0LRln4jk2HPda9dgafs1C6TK62jdG6U3mmVfMp/SvPyiE/j0sCympjFt6ZO8u1YQXkepKKtw288WQysEkSwePo4NSS+VPijds5XFP/nCQb+Hw6Lf3Fr2xWnaKUj6pJceoWz3RjbtDLPgO7cybz85jq+ndnJ3eveAz/rHrwzT4u3VYv43bXyUEknFSqVZta4DxXnw67ZPWFeSJGY9+hObCIOzX83d1t29B13334GKCfl0+Zot3Xx+5XMHjHGHApzf8CYL2tbm9EIH8e/HYI3dID5SWJZ1TDZSu3/+EGuu+Txrr//igG2EJo7DUDUMVSPe0j5Q6gRIRzN0bxO6UIpLAaScxtvQj43P2RZlImkkWWbTd+4fuOM+gVubFIU37yLZHia6twM9lcGyJCZeNofi0QOfQsN//yPp94X0haMyT2pib71G5RCRJkrbxfLFk4YhFVXk7LWa//gXMVjLP93LwVIUPSMIB2AZGmb5SMxYF/KY2fQlRS1TJ+wooscpuj57nMVY0U5RQ2Zvzww3CzLUsRvLsghYGZzHnYlz8kliZ4ESHOPm44i2YyAh+wty59syTVEL985TxOxaNVdBGeVaF26vIGe9ySxRy01cCYgfkmwCFCcVaic+I4mmeISY87Z3RSF7OoZHNgn0I3H9r4/+14nZKRqxzJ5m4bDRuh0r3oOUjmGGW4Vfaz9iV+aRKA24qdS6qFA78CC+z1SoGhUHRZogVa5FV9FjeYhOPoPU1DOwnF6RGpXE/ls7YkyocOF0yqx4ey3n73wdy7LwBFw47K7G7p4U9Q3iBtuwN4Kh5aPAdXV5+6xrQs3cPlJENA1NJdJcz2s/PB9dNyguE007w0eIiNjUQg1Jllm4aCLbtncR79iHqWVZfqfofA0UBpBkeUCd0ytfOY50VsdQszi8AYxwK7KW5h/v1DN5WAlaWhCr+oZuWhoaxbXY28Ub9THe39VDZ0Jl3fZmevYIIvjevjCtHb2gpoXAdXM9vfGBEbBkRiObTrNjVw+GbvBot/gbU1UdLZnG7ZBIDfSLp717IPE10hla0wYJpwvDrmEcWhFgR1Tia22jMCwIhDvIqiYmoCfF+nM8cUoLPLzcG6R01CQCxSEkWWJUeGATyLFg5tUXcdKPvoYJdGcN2mL5iGY0kqG7N0PVtIlHtzE7hb9inSDKmm6y0v5/RbgZR1c7+mH0V0JV4rclp3Npo6CfcHJHz4F1bf8u+MvzennJtH7QMX1dsj3dabKRQwtDD+KjxTETu0wmw49//GPOOOMMZs6cyYwZMwa8BjGI/tj6jXvY+ZOj1zdsfeaFAz57bexxOItC+IfW4i4MUT5r+gCjaxD2M+mwuAHMuOFjSA4H9e/kn6gdXjfZaAJ3cSEAqZZ2TG8JaruoLcIywOEisWMnejqLZVpIUl6IVEvlb959lmZqRytqVxd6ayOZcAzN9uMEMFpFfU6qW6SITcOEoN3QYXf7TbnG9oF1eXDoGeF76g2CoSGBaK6wI1RSrYj8SJaJZOi0uarQ9otYWXs324eiY5kGevmY3MtqWo8jWIzk8iA5PaJ7t207clElStkQHN17UNxerEQYq/49rJ4m0DI4hk9GtaVCZI8Ply+YI4BJW5staKREWaDiEhZIwUJ8ZgbDAsvlQzY0nFMWiRRn156Bna317+Xs0Kz693JdxabdJWyaJnr5aPs4RhN2l9MZHEaH7spF7Ar1CF6ngjvciCJZuAJFKP3qf+55czdP1Aui12l6cg0RKRSRlrXg3reaeG9vLw6nwl9WJ9Ht+sf34hbde/bgdCm5iFp/9PZmiLc3UVxayHETavGW5z2ELwkv5KHYCE6cORzDTkmbskQ6a+AqEc0FLXtFB+t6qQbLgnUbO+jcLuRBgn4n39+sM2pUBYloEqfbnQv/fuf8UYyrK2Z9fRef//kS1Jd+SdfCz3LK3aJI/YazhEBwYVkJ3bs2kY7lb7LtEXEtx6NpYrG8qPPm+jA72pLMv/V5FnzxbyQqxvHV34jI+RkzxUPLabc/w1PvNhJu2JqTGALwuRWymsnEAoNxgfxNf+KnL0HvZ9nWE8ngDPoxLYuq2TMwLZg6soShFUGSdtelz6Ug23WIM268mumfvQyAMe+9SjSpIkkSvgI/TreD6lI/ExrzIrQjzv/4Ad/R4eAtLGD+Tdcw7YZPYSI6kftgmBaWBcPmHd19rSuus2F7D5mswdCzTgYgbddkLt67gpOa3kPTTdyhwCG3EZowhqyaP6+6bg4gesfwjPyhw19aTFM/K7NDIasaaKbJgjv/hQjqID4UHDOxu/baa7n33nsZOnQoZ511Fueee+6A1yAG0R+JXfUk7WjBsWLbd37Eq2PEj6ovlL9RT/nUwPb4dVu7hbZbP89JM5slsnE7ej/7HjWWQu7rFrUs2t9eTXa3qEmzIu0YsQhW5x4y4RgOtzKgK9PpzRfm67awb+PTL2EZJomeNHo6S2b1MuLPPgyAaddZhXd2YJkgzT0bZIXMkmfY31hS8YXwpHuQgyVCK8/QkLwhJJcnr1nntdv9LRM9O7AgO7ed0hpo342ZSeRcFvpgOHxYkbw8g5mOYdg3XDlYjKtjF7LDKT4PlmNlEkiyQqQ2f1OTZAUlVJrT8/MZYh4exSArOdEUD12JLJavCCVYkqth6xp7Cs1pibAUxLQ11yw1g7lvC0agDD0oIhVa+RjheED+q+yLuuaOo9+NTUOmXOvCb6YxekQa/NebEmyJK3z5teZcIwfAyn22f26/m6TDMog6C9AdHvaE0/xu1d7c8j5C35m1iLa14dZTOWmWPngD+Wvi6ik+LpoYxPQEqZ40Of+dOJ2U11TjcIso5Xde3k42lcHlFSnMbCaLJxAkojswDYNoa/57CxX6+WB1C+5ggEy0B4fbjWkKwqOXlOIoE13hm5tjdC4UVniJtMb8idU8vzeGt6CQIWWizk/vly7ubuvi5MkVZBMRYm15u6y2foLeAGt2iWjT8ZNrmD1hYOmBaeho6fx1ODIkRGjHblnF+J56unszFE+fzHkPfpchJ+et9jbuCFM6ZgRKQYjKqeO59PXHmKB3s+C1h9FsMl3khrQtgnvmj+/ijB/eyZJVrXi2bqI0IMi8yyPqM8fUFlC+e1Nu+5c++q+J5J9tG9D3/8vsI2VHW8c26rKL6IkIAn/WfXlD+0RKY3S0iSG71mNZHFZQ+KbVLxHtZ4f29pp2opKPxpb4MWU+PgrIsszuvTGWrDq8m0dPJEs8rTP/pqv/PRMbxAE4tBLiIfDiiy/y8ssvM9/2sRvEIA4HSzdINR46VZLe14qzuChvE2bDU1NF01/zYqEuU6S+2lbvovLCU2kCNmztoicmfgRrinTALTxOvT4kCcpqgpiqDm4Xlmmx7/1G/LUVrPvds/R2JSkq8xOr34uZfpbQxy8By8SyIyuyU8G0n94dwycgxWzfTc1C8gXJ7Gtm22OvMvuymWB7lmqpDM5ika6QFAeWP4SUjIEiI489DjWRhGgPiZYukCUCVYK0SNJ+z1eykmvAkEwDS3Hg9BdgZRLg9mFkshS5JXqzFhU+BbfHQ1ckgV4zEUekFTJJLEXBatmJtWMl8omXYQbLMLsbkD1B0DKYuoYZrMBKx5G8QZyzz4VMAsME01sI7iB6OknKjsqFtChpzYssgduhUK22gdNDoRrDUVKLFNPQLWiOpHErEh5FwVIz6KufxZgn6pOykjMnGGzGO7EMAzMkUpJ9HrGm7BDRGj2DunUlrmmLMFe/DLEu5EVXISfCVFTX0RFLY5gWDkunK21S7JFQJIn13QZSvUi76vEw7mAJqayOq58FVLnWRaezDBOJTPlostkMiUQGt6e/v6cgvTtNP0jQ0riP6jFjSaXE9VZQ6qO20k/9ngjeUIgTirPc2ioiskUhD/1vfRt6JI474XgatuygvT2KrmZQXC5qp0wh1t6JlhEEVJIVMtF8I0Yyq5OJhUnbqUhXIMjwqiJ2NkZY1phkxE5BxGptjbM31jZR4HXwwBdO4nOPrcPQDRTyJKFq4kTatmwh1t7ESocDLZVvdAFI9XQwY+5xnDm2kB8/u5lHXhGuEq7yIipqi1n5y8uYe+NjjBlbxbqu/N90ZbGXWduX4T//4wTffRlPaQnLdoS5M7FSfA9ZdQAZ+OSf78/9P9LcwvTbvozL64JKYWLvziZxuBQuf+PxAfPT0hlmjy3l3e09dEdtl47CNLJpsK0+wviRhXwY2L2xk+Ez6khmo0y78eqjXq+v+QWgsKaKa99/kYdnn8X7G7uYO6UMSZa55J9/OeJ2tjVEqCq3vX8taIjJxJrjNDTHGXfFBcd8PB8Fzu73He6P7Q0RgFxDzCD+/TjmiF1NTQ3B4KBY4CCODtGNm0nW7znk8tXX3kjbcy/l3rtKS5j5598w5d7vDhhXMn4Ypqax751tuILiR6+/XmzALuLGsvCOnZiLtiU7xI1SkiUwdCRFIa6Z9Flu9j0FG5kssidPLts2d9CwuhHXyElEdneQ6uol0xsn091D+RXXk+3upnpYIfHWfh2RloXzhIsAaF+9nVXvCmHWto3ipuY67gSc4+0ImCl08gBwDnyCV0rqkP2FAMiYyMkwqCmsaAeSwwVISA7bRcPhFHImDpkuVcYydSyXB9NbiNW0Bce4OcI3FtBLR2Dt24zVsVtU6qlprBbRYSlJElbLFqx+wibdLkE8XWYWxaGwqyvBzi5BYpVAMY7CSpTCCnC4KdO6SWgmXUmVpkgaWZKwAkWkZ54HCLFl7H2CLS5clO96tZo2iNMSKBNpYKeX8MTTMVc9i2PoRFxzzsN4/3nUQCkuh4xDE8ROAu5+P8UuLYQcFKRxXUsURZL45vtJiqw4XfEs3fEsJVqYUq0bV7CYcq2LYjOGw9LZ0Zli5VvbaajvzP0gJroFaeozEY929eDoF2l1yxLfk96hqDyAz+Pk1jaRKpclcLsHpshNy8KlQJHfSUtzGD2TQlYUnB4P2XQmVzfnsG+EssPJ+LG1ZNIqkX31dNdvQZJlFKeTjGZw8uIJrF3fxuNrW/jixZMZXi6I3TcfWUk0rdMazrB1m2gMclYM4dTjRBrVE7BTgJbFzZ+cnZvfJ+eJ5YaWpWFXPeUlItW+3tZuXLehnb+uauJbr2znL7edRlu7IIRXLBrD8MogC0p1hq57i4IRw3AoEtmU/XBkR5tP/8EdHAreogI8bgXZ1v3zex2M66qnozlG3expA8ZahsXQW25gZE2+23jr7x4FhD3V+xsHRhz/VbRndD5Y3UyX6uCk2z931OuFGwTZ7SM9ZeNGcsbDPwEgrRogH501lmXBexs6cwQptj1fUnL6928/6vl8lBh3xscOu9z5EfrXDuLIOGZi99Of/pTbb7+dvXv3HnnwIP7Po8/IuS+luj/Urp6clIllWbhdWTp/813af/WtA8ZaholTNnEHAuzZFyfbTwm9KyMuZcstbnKyX/yAJtuiGLYTgSRJTLrzCxTWVdAbFTcfxSVupumOMMmNqwHQMyrR7iRoFhXXfJnIe++hJbMiBWvfhLXeCACpbtvH8vRPUnDdN3HaLf49zVHSGXGzkvr1y6lr892+pqrS+sI/hX+sPW+wyVpfXVI2KSQPklFMJJqzTjKuALIk4XM5cNh1Xy7bhqk9MEx4Me7bhnPCPJzj5kK7Taz1LFrJcLTyMVjeQtA1tPJ8p5tWOhLLW4DV3Qx2jZPPSBEy4sRkP23xLN1JlY2tUSx/sSCX7iCb2uNkPEW02R6R3SnRCJDGhe4Jolg6JbrdzaerWJaJ4SkU56BB1JP1n4ehqVhOQdSViuE4qkejVA7HGC5s3Mz23bhlM3+OAMXj59Y3WnLvK4Ii9anYZC+rm3isLG6HjOzx4/IF8Lg9GMhkDBPTMGnc2YapmwyrCR3QuWiZJuVFLhSHTFG5n0mFOvP+luT64lbKnPmaMtOC3pStdVeST+FZDidjix2EG3eI71iSkB0OsvEIqu0rqtgd3pZpcM5QmVRUfO70+nH7QzicDnoiSXY0xenYtpZ3VzaxsjlLMq0y/+Z8dPu7L2+mY9ta1GScsCrx0JDdTB5bjeJwMHuG8JL9+wd5l6BbS5vwFggyJykOpo0q57MfFw0Dpx8/nK5dm1i7ei/vrmxi4eQaYp0ipa8XlFEbhKnrX0HRVcomjsPQTVJdA+VfgpX5hhJzvyiOc78054ShRVQ3bKInrh0Q8VHcCqMqZUa++6pYV5Ep1aL0RjLohkVi/66NY8T4K8VDmWpCKqNjudz47Y7co1r/7FOYcPXFTLlI2BUqDgfTLxXlSc3tSVq7UhSPHHLkDbmcJNM6rZ0iUts/BXss8/ko4KoUEkmHS0+bkoS7MHTI5YP46HHMxG7mzJlkMhlGjBhBMBikuLh4wGsQg+gP6QjheMuySO8TN2QjnaFoeGFuWcmCOUz64bc4ed1bACi2RIYn5LeJnbiBHv+1m+hK216gpm04nxaRoUR7DC2ZzjU8APhKC4jGsjTt7MkTtaYdJHbuJNnWQ/uGZuKqiWWaxDYJLau+bKlkR/W0uNielshS972HSZn7/dBp/Vr9+9la7Xg673ahuF3suuf7vH/ZtSjFQpzr1TEzBpDgBILgWFoa0yaIKcuJhERZMG+35XTkiYixbSVyKkqLT6QsI9VTMN9+EhzuvEivaWK1iG5Is7MBKx0j13G7bQWmZeK2VIqMKN5gITG7C041LDoTWboSgownshrhlEprNk+ysrpJT1qIumZNmWK9F1dxBW4zi+lwYTZtBFXctORMEhKCCJj1a7Bi3ZjBclT7ezQnnEC7KtObzBIuHEaRKcR8JSxU3eDu1YJM/nZlI9HMgTf2pmT+J255vBBH6RAkxYESKkMpKAMk3tuZl71Rsxq6ZVHqtLgitT33eXl1OZGsRWlNkElVbrZtFtHYnzy3hfqugZ2Ksv0wM7pA5oSpVfY5sTC8A6M1Ur8Gj4nDiggVieUVFUU811uCavuomrqGaWg4vV4SsRRte0UEuGPbWnbs2EdLb76W8OGvn8XGTQO9lDVL5oeTbQ/gIlEr19iYJ19LXOMpHSGsngxT4icr9jJliiAgrpAfU9fort9CvGMfn39qPbptl9auOlmw5y0qdq8nndbxFoawJAlZlpD8+b8Hp8+T+/9trflGB2CA+fvZ84ZycjBNQcNWEq6BpRl3pXYRN8R5HbF9FW6nzMIplZSoUXrjKh8GLnjoB5z/t4dy70N11YcZfSBmXfMJzv/V9w/43JQkeiJZIu7Co7LGcvXzRb2lfS3uqgpC40cf01w+Kny14V3uSu067BhPRRn+8gN9lQfx78MxJ8EvvfRSWlpa+P73v09FRcWAH6dBDGJ/1Fx4Ds2PPQWAGu7FVVw0YLmvrgYtFifb3YOeGNgUMOXe76D3dpHeuQnD1kRq61VzT4sL77mdOddfhsPjoXnFGlasfI+qRQkKgM33Pca2+l7GjywisrcLty+f7hx5yklIo/5OV1MjHdvbKDMM3JUuXEEv6XQGDAvNMFGcThru+xmQvwkrQTF/qV9EJ7x5O4n6RkqmTcCM9xJ57lFkWcql8SS79ia5cTMdK9Yw4lM/QtJVpI73GLZoPI1vbM2fj7L8D79lWUQdITymgau4ClO38KkGKVVHj0SgQvx4Zju7cJeXUS0niGogzzxTdFBGMmQ0AzwFyAsuzm9X1zDffgJ51tnivcOL1dsGODDWvYbjxEvR3nsBadKpKJVCMT7Z3AK2Vp5hwb5ohsqQl85Elqxh0ZvWcCTj6HakdF8sS5kbTMmBu7Ac2e3HIWcwNV14ymoa5qo/4zzlWtRwB3K0C9NbiLxnPdLUk4mHu6Ggip5EBt20UO3cuSwryEVVhHrbaI4pdNk6aDGb1Km6iUOWiCUF2dnQFsXI6kgOmcfW7mPxmDLSmkEiqxN0O6jUOtjdEsHrc5NOZSkq8NAdzeBOpbECRdy56kl+MPuTZOJxwgkVU9cpdFusrxcyJvVxGW9BnoQMKQ/Q1Jlg5Lx5jH3uz+z61I0ApDIaO1RxbsYvWkhtsZ89bYK4yYpCbc9ewsNraN6+m99NS3BzTz+irqmYho4/4Kc9GSMVzqccI12dDB83EiIZ9vzpGq55dA161tZDtN0cVtUs5tWWvvNkMHbsMFrCSVz+ADeeOoLftQVx++COU+p4YHWa3t40/1gvyOPmpjzpTYU76exO4g0V8uk5FWwFqre+T6Y3A5KEK+AjkTVRnA6+2vxWbj2Xz8eX9n2AoWq4AwfvCO1qibPwR1/AbWqkNJ10NH7AmMYIhKws5UVhTp5Zy5w//xBvLMy+9iTDzzmVPc8f2T7sSOifYvSVFh1m5NHjjp6N/KjyuAER5sPhlp3L+VGhiJi6fF6+vH2pkLpRPxwC+1Gjb76D+M/hmM/+ihUreOqpp7j99tu5+uqrueqqqwa8BjGI/rB0nfLFJwGw7nNfPmC5Fo0RWbeRZfNOIbJ2/YBl9V/9NHu/fzvaqucwdQM1nmJvV15nyunz4vL5kGWZlhUfkM0aIMGmv76BZRh02ZGM+N4e2jaKqKBlmsjFNTgDfpxOBacCWKD29A4ofpZcLiQJ0o0ijbln1R6UiiHoVZPofGMZ7S+/RkdXCkM3eemk83HpovZMDhaR7Q7jD7k5548/Zf22HiTFQXrXTpLr1jJkbAmrv/INll3/NTK9cUJ1xTnZE4BJV8xl0hVzxVztzzrkIrIGdCWyuSaAVYvOzK2zbMFpADj6ZD4kWdiPIVKpAO26iJqYq1/GWvMyxvxL6HKVYDasw3B5haCvmkYdNYe2rIPEpNORZUXU3gGqe2AEpcduIojYMjAJ1cDlVqhuEEbxXUmVoBYhaMSR7ehLEjc9jiKMwlqItOGafxEtaYkubyVW02a6y8ajjzwec8MbuAIhAkYC3bQI6nEK9Yg4J1oGyeVDQhogTTGrrpDhJT7aIml8TpkttgvAi1s6aGuK0tOel2l46N093PHiVp7a0IqjqJJMVue8iT4mDwtxUp0gVMd1bMLt91Cx4Hi+ZmwhFk8TadpL65YtPL8lMuBclI0cyZDyAMePL2eGJ0FFsRdJkhiXbMTndjB/UgVZzRSlAPOPw63I1BUJkjxhxkSGTZ/G+L3rkBWZWxZV8+XYTGQ70v3NU0Rqf87CGQT8LvRsPjp32rACtEyWaMLky+dNxemQWb22leg+kWatmzCWUTUhvrveYHcq/2BT6rFIdLViGgayJx9ZGx/UyCYTbN3exQdrWrjuwuNo3jswrbptexdqVuPl3iJSGli2RmNvLIOvqJCdjVGaEjJOj2fAev7iwpzN1/5o3hWmN5LBqWWRsMhkTaZ//soDxjn9XkJ2envOn39IsL2JykuuQDcsFt19M8ff8T+X1+iLIC783m2c8u2v/I+3B+D0eFC8HrJ2+caR4HC5WHTftwiOHYnicOBwuVAcjn+by8T/FH3zHcR/DsdM7MaNG0c6/Z8TSRzE/y7EVrxB7RmCqGTaOg5Yrvh9pJuFxMXmO74FgKOolOJTz0VSZCpnTwDAUHUiu1tJhcWTvH/kUMrHjshtp3TyeCygetHx0CakL3T7xm9kdWTTJNqboX7lFiSXl2ELZ5PN6uh212c6nkWN5m/+lRNGYPVTTlfjKpte3UXVwhmo4V60cC8tnSkUh8zwCaXI/ZwUerc2AjD1E2cTjmaRi0tIb9vK5p/+GoCCQiejJpejqnliktyzl6XzTsm933jrXbx/a14yIZ4VRMohSyipBBMvmcnuB3/Lq2NmMO26E3l1zAwkpxvF6SZrWHTG0xTqUYqMKIoljjGS1lEKSnEMnYTmLRSRs8aNmDs/wPQVQbwbvVLUumUcXrBTil2JLAnVwKnmI6qyBL0pFTUz0KKqomVD7v+6K0jISOSe3n1mWuwT0B1e9kmFubGKT9TkhN0lSIaOqngIGEm8RhqflcGvWPiMFM/tTvCZv23g+uVx2pIiihdLqQQ9DmYNERGWxh5BZvf15CU+simNjmia361sZHO7uIbeaehB9gRIplVqXRkeq13Dy00KkixRlgoTbWhm9uevYoElolammkVNpejcLYrZi4cMwen14vJ6GRkwGRHey4QPXmFMrUilObNpFEWmOORhaLEgVpdMLcarwMQNb+B1KdTWlFFaVkBFy2403eINS9TASZKEvyDIVYEmCopDdOlu/K78g8fksdX8enonWjpJ994GvnLxTK59Yl2uhu/0mUOorCjGY3/34WQ+Ta3Z9ZympvFcU36bbzEMQ83QsW0tXbs28V5zjGhLozhWO3rVuWM96d4uZIdCJKmBLQ/T2pmioK4KVVLQnMdGQLpiKl1JHcXWk9F0kymfOPuAcemuMI1NEQAKWvcgmwav//yvKEWFVE4ay8nf+OIB6/wrkENBFnzpWionjf1Qtgcw8ZNnU3fC8Uc9fu71l3Pzulc+tP0P4v8WjpnY/fCHP+QrX/kKy5Yto6enh1gsNuA1iEH0wUin8RR6yDSIm02mvQMjm80te2P6QszsgekFa+hUorvrCdTkn/D1tIqp55slvrTpDUaeNDf3/sx+ulGWZZGyC/kT/epv1tVHKZ8oalVOv+c2Zn3ti2Ts5YpDItmdIHi28I5UFBnVJobtTVE8QRduRYzVY3Ha2hJEcuvKA1IPWmxgGslwuMk2N1FabXtq2oX9ZNN4T7uGREec1n88S1GtuCGmYiapDe8z7GzRuehyyCKlirjhuzavwVcapP3Jx6iYNgSX30318YLkumWLlGYgGzoBjxNH1Wg8lphnxuFDnbiYcMUkElkNJIn0KZ9HKRIF0emKsSTtY1YsA8WOGTZHxIPc+DWiQH/8B49iWrAnnMJ0uQmg4tQymMj0+Mpyxd5xwyG8cG0UGTE8ZgZzyZ9IVdupJlN8T5lxeRN2ecElaCi4yuooNiK4i6twlNZRZCXY0JMn2+1pk8VjyuhNaaRUgy2t4vcnq5vUBB0Ylkip9yGjmaza20tWM4inNZyyxFv13RgmtGse9iDIyxS9g0bTTYcq4bJrxZ7W3x6ga1gybBgjJ4xi6IwZeF0Kk159grl/+xmV29cw4e1ncuPmPPwdAE7wxZlQojC/YwVdcZ2KPVs4fkI5skPBq4A/3I7LIZHq1xB02WlT+Lp1El9fJMSMq735ZU+OyzevZWK93PLsJj5Y04KWTuIP+vlV3S4wDAK29zHA/Eki+hd2FlFYXoFpDKxJfKcrH2UxdY3tW1uwTIPqmlKmDxmYQpX7iUy3dCSJW06hz2aBvh/ZPxIimkm2nyODZlgM2a8jFsBXWUbDvjgRLb/vZGs7JeNGHtP+joQ729cOqP37MHDO/d/iiqceOvLAQQziQ8AxX72nn346K1euZPHixZSXl1NUVERRURGFhYUUFX04NQmD+P8DmfZOnIUFGKl8JEztEambxO49GMkkmdZ8J2Nf86i3eyNetRN/Zb5lPhtJYWRV3NUHN5aumzmV8574FfGGfWjRBL6gm6FnnUzSbrAwDBNPyE+wKr9+4YSxJCMZSq65DYcTHF4XPSuEC0JGCdDaEqdxezd7O1IYksKCh+4Rc+nqpu+WuHGHOB7FH6Dndz+i+6F7MDI6a/bl9cOa4zJmJoPTNbDGRlZkup54CEvXCb/+MkM/Nh4QNXBjLzgO0/ZVdTsUqgp81Bb5obsLy+6iHHX2NIZ+TMhs1M4bhWVZuNweiqQMRVYcOShq8ApljRItjMfM0JPMktENLAsK3TLxjIZjyETMd58iqgjiWa51YSEhSRKGaeWaEmQ1xcQVD+NPiAhWPKuTVA2SpoIiSxiSxMoxZ1Hxwm+QX36RRMYmwoYpauRKh2JJCp6PX49uR0OLzARuM0tvSsVvJHGYGt12Y0bGUlAqRoLT7nAtG0pNoZfpNSFM06I9msVlR3nk3zzAy1vac+c2YInzn84ayP2UhU3LIpXVCSdVmntT/OmDZnTT5O+74InsOIoK3Azv2Mnzci27xkzD6fXw9pp2fBgoUp58BN0SJ0yqwOdx4HMrjGrL+7eGevLzkGx3hlRROZo3wPqgEC8OhDs5/tU/kFGNnNxJ3zR9bgczx5ahWjLvdck81FZGgd9FYTbOOYvE+lnZRcE14mFGcTrpjGZIJ1M4PD6WfSxBe9Fo0prJtEg9i2aIJoDZK/OEM9bTnfv/iXaDh2FanHrqHKqrBdHvq+V7ZGac++v28MrZIuo4ZfwQZEXh9Nl1NDTF2NkYxbS9mJ1BP2r8yO4E+6PqRPGQlk6odPVkDjrmhnf+jqe2it078ucXSeLM+795zPsbxCD+f8YxE7ulS5eydOlSlixZMuDV99kgBtEHI5VCNjOkd25lxOc/A4BpP83LLlHLNPS0afjLRFREViQUtxNfeTGB6nxXlZ7OYjlcbNvczhn3f/uQ+xu1aO6AaMHH7vwCe1tE9ExRZEYumIKUzouydm2vx+9z0P78i0guDzIm4bUbCHck8YwaQa8pk84YpA0LPZuPbmx5eyP7OpI4y0qIJVRC06ajBYuJ7mgg0ypuOrEWQX7GXXEB3vLS3M2uM5wvY0h2RiEVI1hTxJhzp4tzpmq4fXZHaLG44VqWkHbQw2HePulMIqvXAOAODqxjMlUVnG6cioziL8xFEZWCMlyWSkbOjy9xgxy3b+6ygnP0LFymitPUcPkLCZpJvLLFlvYYuikiXy/N+AzvjDkb2bJ9d+0IauWOt7HcXhpTgqDsmXk6Sts+MrEElmWxtSPO9s44WzuTWJKE5fIimxrFWhhnsBjJjgz6JB2/mUYzTAr0KF/4+0YkWc41rliSzKa2OM9uaKM5nKI1qfHQ26IG8vGZA4VbE3Y6sDel4uknPNwdy+YaLbKaidcpC79SSeL5PWAYFiFbduTccpnCuio0zUTXTRx2w4w3FGLIiDoqvn0Xx40pZUqZE6mfJEUoJaRdmlsTmJ2dTHvqF6jBQoJeJ7/cJbbtVDOU7N3BvohGe1QQYJ8stpFRdQJo7IyJ76+qxIff6yCYjVFS6OPahbVc3DkP2ePj8vl1OD1eVq9tpXv3FvRMirTTx5U76oildYZueodiv4vjxpZSvWMtcyeKB5urThxBcZ3Qr6vbuobRtSIVXljgZXqtqInsE0v+fPdMGkJjGOOIc/rMOigR1+WYV58kHMtiWeC16+fO/MV3WfzdWzkWLPzebSy45TNEe1K0t8SxKg7+8OYOBEjvayNpy5p09KQJTJ1M5cQPL2U6iEH8/4BjJnYnnnjiYV+D+L+DV8fMYPlJZxzS6qb+1w/T1wKgbxD1Ilo0SsfrS1lx9icZc/uXIJvAHXJROWck3tIgKM4BTQzp7iiZcAzJ7aJtbw8Tzlp8yPm4AwEMh4gqROIqVVPHk0jpZHI3cmPA+KppE7BMi44XnsczfgaZuIrespdwZ5JIZw+600VbxmDSJ06j7sxFADQ+/Gda9oZJZwxmXn8FqmbyzB9eJxVLEtndSefGgZZYF/72R5iWRdc+QaK210dy+480CoeEPs9NpbiSTG8cydamc4SKkbpbUHUxfyMRY/aXT8UMt2IdxEw8sbteCNkGS5A9/XXxXDjKh4lzZGYJeZx4rSwyYr8dsQyZuslYkkS53o3sDxGQdfZlFLpsa6esndJMuUM8M+vzmJaF+5//wLIsVtfOIZ7Jp7wjwUpGLByLblrEMjpt8Sw/f6uBh9/bi2yZNIeTKBJ4nRKyx49DlvAaaTz+AEGnhWwZBKwDozY7OxMDrrX9vNIBKAu6KfU7SPSTPslkNAxdZ/vKHaQ1g3BbL3s2NJLqjvL6G1uJRlI58qjrBl0NIoo8acY4AhWCsLRHNApsfnji6fOZIEWZ5O7mY2Y307cuHzAHbyyM26nQ1p1m55Y2ynZvoqBhGyF/voFBsizc/Wy+du2JUCmLYx5eGWDy2lfoSohjaOtJEY1nKYt10Gt5kMtEBG7Wt19jbFUIy7Lo2LY2t61Uab721B/upPqT5zJaj+JKRpm+W7hBzCgyKR4iJE1G/OP3jAqCx6XgkCzmFmSoqBTSVZX2A9ZXGqq4IHoKv6rbTUHIR9DnpG7dchJ2V/KsGz4FwMRzTmH2Zy498Is5DE645bOMWryArpYEXXGVwLC6Q44NjhmBYVp0hdPsaowy78vXfehp00EM4n87/qW/iEwmw/vvv8+LL77I888/P+A1iP9byLS20/LUswdd1vnakoFaXd/7OsnGZtpeFCRv6FWXYVlQNHkULiXL0AtPxlM0sJaneXUj+1bsRtdN0snD1+6YsW7SGZ0lq1rZ2GEiyzKS30dnOENHd4qLHv0VUnHe7WD0ovl07BN1Wd4pc+neJJTjm5M6ajKFMyCiPqd+50ZGXvkJADY98yapjE7Z8dNZ9DXRhTf0+KlYpkm45+BNRRXTJ9GRgGVb4+iGxZJVrbz1QRuWblL3vYdJ94qmBM1dgqUbKE4Hac1NNtyD0tGI1htBT6Zof1EYvFfOGEqm164nc5eTaOlC02SSO3cc8tz0SS2U6mFCehQrk8ATKqZGbcOLKhoQyOCoGo0kKzhK6whnDXSbQBZ27hywvZoNLzDFtYexq/4MQDqdxq3INPWkaOhKENV1NJebzkQmVx+YyBq566FISuMoqUOSZQrlLMVKFtlXgFxUTZXWSW9AfE8d8SzPbmpjTXOEB95qYExZgNGWiIgpsthWwO3g52U7+GXxRsZXh5gxrITqQhGdNHQTy7RIRyJinvE0nY2dZFNZGna0kYylUBSZmgpx3TmcMpZNpIfMnpYjDalEhlpDRH9nW10M3yMcO1I338yw917NnZfmtgROXeXUWbUkUlrO4WTWEz/jxL/fBwi9tr374rkoX4HfRTJrMG6HKAOY4UwQ6B3YaGRZUL5jA5s7dZZ25COQb6VLcmLSAA3nZ7mvWZCyiiIReSsu9zPpp3cgAeNee5yJw4r4c6yGAr+Ls+cNpTSkMP+ZBzl+fDmdKbi4xsHKuUIL74YZ+b/HRNbAtCDkdzFtVAl6Mo1pgXdILSd8+TP8TyDLMk0pnYRuHdYT9YvrX8VZWsKmnb2omknIThsPYhCDyOOYid0rr7zCkCFDmDNnDueccw7nnXde7nX++ed/qJP7wQ9+wKxZswgGg5SXl3PeeeexY8fAm9dJJ52EJEkDXjfccMOHOo9BCJiahm77VlqmibeuFsnpYMvdefsvy7LQojG0eJy6yy4m1U881V1RihaNotvNBbLDQbo3gdoj0paJ9e/j9Llz2wcwk4Is6UhY+kFCNP2gb1lO3ZThAGhdIhrmDAaob46xbU9U3B33011MIAhPoj6vxG8BF/3hJ3xmyRMs+tk3UJyOnJft9h0i8paNCzI2+brLmXHtJ3jzaz/BMC0S0Szbdvdy1iM/y21v1FknU3fiHMx+TRW6YaFbsriJ2dIkqdXL7GO3kJwSRLpwrnuD+ss/Rfc7K9n36BPosh2JswmX0WSLDKdiaM35YxBDrNxLkiQq1Q7kQDFWKgq6iuQNopTU4rOyaKaF7Mqnai3LotcWJS7s2o3bTi/2YfXIU5HcXnZXTbfPoxPTNGnuTdMWzfJ+zXwMp4uupEpLNIPbNq8vtJKUq53IoXxjjBwsQwmV5bTqlPLh/HW16Gx+an0LL2xp51fv7iFrmLzfGGaXVMTwQhc+p8yVtSqT6wqI+Ct4Z7SQgMnoJpJpYJoWs+O76c8T9m4e6FscLPBhWRZjhxdzyrwhmA6FwpZ6CrNJFk4dBsDFzz1MS0eSG1ve5hf+XRz3zK8Yv0M4iJRUCeLT0Bzj7TXt7G6KsaclyQkPiHRkKqPzzpp2JEmiqKWBU2bWMOUnd9JuPwScfFwNcydWEI5kqVz9FqfMrGHOU/dR1CGO/5SZguCeOLkCV0vzgLkvmlFN2pAZZ3cD//0sH2kc1EdNioNupo4qoakpRnGFH68/TwY9iQi9KVEzOObrN4vz0LGP4157kkjWIjtkJKr9d+HxDkz3R+ZeAtk0M7e/gcvtoHzOcXxm2d/40OD1cP5vf3jYIQvu+Hzu/8me3sOMHMQg/m/imIndTTfdxMUXX0xbWxumaQ54GYZx5A0cA5YvX86NN97IqlWreP3119E0jVNPPZVkcqCQ7Wc/+1na2tpyr3vvvfdDnccgBF6feDxvTl+AkU7T/vJrlJ4wj+m//NkAsd74tp0smXUSS447kfCqD3ISBgDx5S+Qamyi591VjPjctQA4nRKSmb9uPEVBou1RNrxui/b2OUMYFlM/f/VRz7UvMrTgthuwLIQvq2UCA4ldxhayTTbtQ83qpJMq/hFD8YaCFNbVMOf6K3Jjw3taME2LoqkTOeE28fAw9ZJzQJYY/YmzcQCBAjexpMaokxcO2E/9K8sAsFz5dFw2nmbnHx/HUvORPsuyyMTSaNNPhrEzQFOZ9qnZdP79CSZfOQ+CIkJhaDrZaBLTzkeamkHvu28PiHZsbovlXgCOQGHOBUMOlQkrM5cXhz9E0IgPcK/o20rdruXU1L/DzqrjqGzdlltelOggcMplFNqNFLKps2xXT275qoZeElmdjGawpjnCxeo6ZAksfzEut8f2vLW/K4cTyenmc09vYGtHHElx4FAkKoJu1rVEGVXqZ4YtIVIWcHOutJtKh8bW9gSJiuE4FZlNpZNoieQfIio80Lk3wnPdJQOaJwAcbvHw4Pa4iUdTeD0udm7bh67pSJLEj4afDKFQLlo35pQTsCxQtCwjoy04Mykcqoge+0NiW+3daTTNxLKgtyeBOxkjMFo8ZKiaye4uDdkyWRCy8HW1oOkmHd0pxm5+l6l/FL9XTjXD+A9exZlJ4UolGF0bovaRXzO6toAZLz2M2k+0d+rIEqbWFNIR15DKavAH/Ux39nJBtyiHGVEdYtpf70NyiGPv37gzMiFSzdGUzlCfOGcSFsENK4mkdC540+CszhOZO7mW37eKBqZqWz/ukuc72dFjUNSyB6dbYeJFZxxSn+5YIQcDnPzDOymsqTrsuLEfFyLCkt9H9dSJH8q+BzGI/59wzMSuo6ODW265hYpDFLh+mHjllVe4+uqrmThxIlOnTuWRRx6hqamJNWvWDBjn8/morKzMvUKhQZ+6DwObv/Ydtt3zY/TUwBTj+5ddS9tLr1J78XmUnbSAopnTReE+sPrqfLQ02dCIO+Qm2iQaFrSuVuLbRUpv9JeFIj8HSbt88MZ21r27h2w8v1/J7eakoxAgTdvrmLYcw9wbPoWZq8E5MGKn2mnC3nffRssatDVGuX5FvnsQKx8lfOZzIjK54NbrmGrrbNUeN5FRpy7k9O9+lSK7CSSrGfiLCwfsJ277Z17//gu5z/whNxu/9QMsm5xZpsWml7eS6enFcrrBNHJeu16fmKe+Z4M4ZZaFlkiBZZGacya9532RoSeNY/1NXxXb2u+8tscywjdVcSB5g2juIF0JQU4kp4eQlcbpcJDRDPaGU0TTKp5UlKrmNYQ94uYeXLoMh5rm465eegMVNDa20uopZ184hZI8UOoorZnss8nWqEwL5X4Xe+NGzj4N4K3d3Vz7xLrc+75IXVssS1csQ4HHwagyPxMrQ5T4XdR3Jznv7JMpNEQzSndCXHedtrzNyi0dtIdTPLu2G9N+KPD7Xbj9+ciTy+dDkmVqS7woDoXyIg8RycXq+l5GRRoB+Nic8QOOpXLh8eJ890Ob7eWp6yaZbP7hpE/+cO5N13D2X34OQFNrnJ6YTvSTlxAs9KDpJg3NcaqffJiC+m2MvPAMdMNk1FvPASCbBuOGFDG1awPjhhRSsWMtyWS+03qSEeayGSKal7BcbDpZXF+GaVFR7GXsytcoqd9MIp1P076/UXS5DmvfRWWxN9eN24cS90D5k0+NE0R/WGWQIaGBHd1O2y926ifO4sPCnR3rOP6zlx1xXMnwOvB5ufyFP35opHIQg/j/CcdM7C666CKWLVv2EUzlyIjaptj7e9I++uijlJaWMmnSJO68805SqdTBVs8hm80O6u8dBVqefpamPz2OZp/30oXzAIhtEem/0AQhteGtFbZgeiKBFolSe8mFYgM2h+q7fZiJGIn6PUx78CdYpkHXM48dtJ4m2pMilciy9/19REuGsGRVK4WVBXAUljy+qmruSu3i6/G8z2fhmBG4KsrsVOzAS77q9FPYvbGTTFcPDrdCc0Ib6Oeoq0guQdgcHjfuqgqmXHhGfnF6YPQY8sLIfXAoCl/a+Bp3pXZRNmYEd6V2cd1GYX9UPaKIve83kmjpYsj3/4Aaz+D0uJC7Wqko9OPwiMhW2TRREG9ZFsnWLuTh0wAoOPsqsjMWY9idiqmWvWRSGaIZDXdHG9X1W5B0XVh/6Qay249SWCmaGmL5CJejYgSSy0NPSqUrmaWpN43DjvasHimEk9uefhH3xReS3CIEelcpFXSWjQJJIpnRKXYPJM31Ld3s7hbnp2LR+fg9DrZ2iKiTYVpE0xrLG0Rqe29Y/M12JlRiGY1oWmNPT4rTxlcQ8jjJGiazhhSK7a5dx6nxrXy1QpCLeErNkbjuaIamDkH6/F47AmlZOCQIlJYSKC3lmrPH4y8uJi258BYWYVj566pXEd/1LZcOjLjKDoVUKk+sek0/2xoieCZOoTeWr/0MjBmRa9KZ/ZlLc9FBM50hHk1RWCJS+iWzppJRDRwuGcUhUzJqGAZ9DRwW67d0MfPLlyPLEqf84DoSKYOMbnLSNEGKK79xKxt+9KA4To+Iwv7OvRAJWDihnKEvPo7X76KtK037uPkAJFM6qbRO7YZ36I3n5/z26rx8yNnzhjLOPs+PxUUTw6xsG3ONHs6eNxSA48aUYrX38NauzH/MlP6u7o0MnTPjyAMHMYj/gzhmYvfggw/yj3/8g6uvvpqf/vSnPPDAAwNeHxVM0+RLX/oS8+fPZ9KkSbnPL7vsMv7617+ydOlS7rzzTv7yl79wxRVXHGZLonavoKAg96qrO3QX1iDASKZEirCzi9mPPUxo8sQBkTbF58FIpeha9i7Fc2Yx8vOfZdajv2Pm7+9Hzeh5ZgeMv/OLlC6cS7a5ke7nn8DhdtDZmGDz0kbkyR/D1A26WyNIksQ7b25h/SuioNzp9RzRf1DyF+IYfaC6+1Uv/5nLn/39QWvsPNWVdGYM0pE4DoeMsR/PNGJdWGqKaEqh8qQFXPPG44fc/6aIk21dJkPPOjn32aEKwUtGDGX9jjCyLBGw03mWZVE5pECs4xSELhtLgazgO/F8nDM/jmZ3e27/09PimF0utG67u9bhofKrN9LUHac7odL8xVtYc+0XyGwRhf477K5Sy7LI6AYuRRowP8uy6E5k6UlphNMa6DqBS/K2SnWji6kbXczKm+4GQHd6cut3OoLopsUZ/3yIK5tfBCx2x03UjnY+WZFFHjaB+u4UL20VTQGJrM6engSNtvzLd17bQV2hl6Dbwd83tOakVCzLwnrw51h33kZLJM2YUg/1NVP4YOaFaC5Rb7hsfRvDkmHOGi+yCB29aVySSUrVOXX+UEIhF7oF3qCLa84Yg6UonHnicE6aWcNId5LWiJa7LoqSomZr/NCBRfmf+MvPwZkngLE2QYaWvbyG7Q1RSmdN4xMvPsJVL/yBwumTc+NGLZrLxc89jAzEUjqFdlR37k2fFjIhfhdev5MTv3o9acPW5JNFx683KK6BaE8aM6OSlRRmvv0MJ06tYujIQjb++Jcsml5NwOsgcMbVPNXsxAIuDaWpHCpS13Wnn8TWR55i5ZYwFrBhu7hWTp5SzvzJQvhY00027RQRv3mvP0bIIc59e1wQ1JlL/oL0/e9Q9c07mDuxgknZfeipNNq/oFc3iEEM4qPHMRu6Pf7447z22mt4PB6WLVs2oOtRkiRuvvnmD3WCfbjxxhvZvHkz77zzzoDPr7vuutz/J0+eTFVVFYsXL6a+vp6RIw+uSH7nnXdyyy235N7HYrFBcncQKH4/RjJJbOt2ohu3UDhtMkUzpxPbtGXgOLeH9L5W9v3t74z/5p14KsvxVJaTaWrINU9oaR2n10HpvONRvF40+7pxBv14AxnKa4Ls/N2jlN98MnJREZVTJ9Dyxtu5fXjKjyL17/Ii9ZP56EOosoxQZRlWrPOAZUUjhpAxLRKag3h7N2Zf1KRtV26M5PJSUlXLmT/62kF3K9sCuprTS9f2vZz7vbtzywzT3J9LinVkmaRDzFVLi3TiX8smMGbBKMwv3Y/RG+bZyScx55xRWIaO0t5B9KVHcZbXYXQ2E/DKZNIWr154AyP/8jCUlqDLPpRsirQkU+GA4y6dAkwhk9hCF1PxOGS2dsRzKThz3z42GbVMqRYkYGt7nIhNHFXDwmUYND/wLTjzdhRdzFGSJUZNKWcbMCO8nRWF43Ano2T9BWjIVDVvp8Qb5sTikSz3j6fLU0iDt4h9G9sZUuylySZyb+/p5pmN/YRmQXi9xjK8syeca55Zv2wVb4z9OIwFNrUzs9KTq6UzPfk03NBshC889HZOzDgWzmBYEmnNoKmhk2wyg8OpYLkcrN3Rxd6OBOOGFNCoBQCLs1tX8FLtfIbXr+GMMTNQlIEPEf7iQpqjJh6XSnNbkqwtfJ1qEzWGJ9z+OUYvEpGxWTd8isbvCzFrl8/HmFNOoHT2NGLrNgIQzVjU1FUj94sMu3w+OiNZaoudbKuPoOomHjviWFDixTBMtJSLwNuvM94tyOGoKeVkNr3LBu8Y5j2Sbwp595zLGTZeyJRkekW0PR0X5yxtp4xrHv8DxYtPyR1HJKbSnZFwv7WcBaeeR69awK59UUbVhPAuDzOszguEUSLbmbjpNcyQG0nN11QOYhCD+O/BMUfs7rrrLr797W8TjUZpbGxkz549uVdDQ8ORN/Av4Atf+AIvvvgiS5cupba29rBjjz9eRGx2236OB4Pb7SYUCg14DWIgTE0jOFbYQW39xj1osRiVZ5x60LHemipWX/05ohu3EBg5PPd5ePnr+AvdvPVBG6lukWrL9nST2r2dlt/8jLZdYZw+N4GyAMXDS6kZL27Ut+1dxdk/HyhEHCgv5XCwtCxWb9vhD8oi1zzQh2CViMy0tEboSsO17z13wGqSv/Dgm7MsJFnB6RUELbxJpH/Lxo7sNwYch4g0Zjq78X/+NhJ2h2RZTZDKhx9HkmVSuxsYWq1gmQZ6Kkt85ZsAuKpFOszUTDb+Yw3BAhdWbw/a6pX0TDwRw3QS2vQ+XT/PR8893XvR7/wcGd3M11VpKuYLTw6YTySj5SJlsmXiyibYOOtiAKqf/cOAsRVXXcDU0z/O8BeeZMh7b+AxVRRZQgLCOzsp2J53YuhNqezrTeN3O6gNurAsi1V7RGRstifNkCIvlUE3f3mvieHFA31G39BLBrxXnXlP3i7dyT/fFn/nd2wDrd8yzRJsev3uHtR0Pu24c1+UvXaqdk9bHEWRGDssRFWsiweW34PV2srHTp1zkG8LYkmN1Zu76ehJE4mrOMvE3Ewkxp+xKH++Q0G2NUQGrHv9sqdw1NQAsGZ9G2VjhnPhX+4HoNOOjKVsAemOnnSuQziVEcuiCY3S6VMo9ktMWJmXlRr9z0fJaPk60LPnDc2RutawmtPhA/j4b38EwN6mKJPa1jHl99/n3bUigqrpJru3d+BEJfbDnzKtXEQLJ/oGWv7NffdRkh9sZxCDGMR/L46Z2Kmqyic/+cl/iyikZVl84Qtf4JlnnmHJkiUMHz78iOusX78egKqqw3dWDeLwiG3dgTMUYOYff42RShNZtxHFJ266pSfMp+xj+RqkPhcJY78mi+iSl3D6XCgOGcu0SPWkSO/dQ2TZK6itTcQ6k1gWuAt8FI0ox18Wom23iKqVDK/DlGRqFi/gtp6NB22y6A8rcxRpIcs8oMZu0rmn8dXuDcR1k66USvXk8QM8QcV6h993H/q2XDFulL2ahW4YB6R/+yBJEs9/5jbAYvUTayiw668ApDbhBdpXY2d0C9Ka6o4QD4jC/qpJdRRMHI3k9WOuX40+ZBxmSTnJ3TuR4p04R0+j8DPfwdAths3L/+1Iho7rwe9QOU08JMUyGrppkrCjN1Pf/R2ymsHd1Ui4fARDmtZjvvpmbv14eS1FFX6MrIqEjmxoBBp2YAEr1wuiEEiI1N5ZBRE0O7+dUg000ySa0ZDsppQFPSuo81rMHyFI0p5dTXxiWjWFXienTBCk+6cnlvHSdbPtcwafOk7Muztloivi2jP7Efb9xZutPgFoWWJTQzj3udupcMr8oYT8TsIbtrE2GaTDcON1OzkYCkYMyaWea089kdv2rkIpLMC1X6NMxcQxB12/cFgdOwOC9LtDQeqOn86yrXG2NIk6RNnpYMmqVkxZZtF94sFmlX0+N7Ub+PZ7uJnzxlJMVWNEiSC0Z80dwuhPC71Fho5i285uLnnsF9weERH2SRecjinJGH1OHvb3cvW7zwJCmsXhlClv3EztDVcCMOaXPxDbs0nzpjcacNpdxncmDq2bOIhBDOI/h2NmZ1dddRVPPvnkkQd+CLjxxhv561//ymOPPUYwGKS9vZ329nbSaUEg6uvr+e53v8uaNWtobGzk+eef58orr+SEE05gypQp/5Y5/v+K9y6+kq5l7xCaNJ6ai86j45+vExglCvgnfPtOxn/zjtzYkgXzqP3E+Uy85xsDtuEaOQmH38esRYLomIZFpqUZIyEK6CtqQ5i6gbvAj7+qhNDQEno68o0s5z/2AGfe9w2UbBzJV3D4CcsKUrDk8GMOQuxApMFchSFQRRqyv/yI5C9Cch+Y3hWbM7D6SbUs+M6tDLGlGAA03SCr6RgHs0gAJlx9MZKq4vW7qBwy8Pj0JkHsNFuOxTNxFu4Zi3jv3j/RuUp0hXu/dAe+e3+FFYtgdglCnC4fRrCmhMqp1Xinn4TkdOGsqAF7nl2fvpaOK69GSvaidLcR/cWD9KZUOmJZlO5OQuvfwqUmGLL1NQpbtlJoZXG+vpRQkYcdeyIArLr2G4QtL2u/8xPaN+9GS2XBNJEzabJ2qs+ViFBT6KHVITTWvI48ud3ZmUDSVD6rr+GNTBmPbexBsQsx3+g0QZKItLSQ1k3uX1TBuLHDcbtc3FwVxedyUFPgxWnqaP3424W7XuXkphXc+cFvmNYoXBh8BYKMBCSDe7pfzkUrz24R589KpXlrYzuWpoGqEdm0A1XTcbsOXqGS6ujOlZ5ko+I6vezZ3/PJv/1qwDhfSeFB16+YMo59dnmBLMu4A37MWBzLrlXzlYhGBMkwcfp9rNkl9rGlR8YV9BOqytf9vbexE0mW8QZcTI81MGl4MVccV8ew0WLf77+wAsnej8Pl4tRffx+Xz8e5f76Ptq40pmnh8orjrJg4mrGXnQeAw6lQOaSA4WOLmTepghpPBsMwkYeJv+GKugIi4Qw79kQGHR8GMYj/UhxzjZ1hGNx77728+uqrTJkyBadz4NPtz372s0Oseez49a9/DQgR4v744x//yNVXX43L5eKNN97g/vvvJ5lMUldXx4UXXsjdd999kK0NovXZF+ldvY6J3/v6UY0PTZqAsyDExO/djdYbweEXETtvjejM+0upiBxd0bnlgG3uvOkKMr0xXAV+RoyvACpIdkRROzvQdm8g0eeZKknIDnGD8BSFSOh5wdFJ554GQPrZ+3CMPEIHnGkiF1YedogV70IKHLyLb/bnrqRjs51isqMyksuLEjp8Crg/Trz1+gHvDTvy53QcvJt38Te+zNZHniIWVwkFXZScenp+3e5OJvzkZ+z83l3UnXEK5Zd/jui2HdQOKyC6dw/FL+XdDozGBqyWfI2VT07jnXw8rffdBYDiceEtKcDZWs/4BZV4SwIkQpXsHXo8qZNG0hzNoEjgckuMC69GKR9CYUs9/5x1LabsxrX8LUoqA3T2ZCguEN/brmtuQf/u7XR+5z4kXSNVOQQ9lsW0oK0rRVUwhkORSTj8eEyTq2cN5dcrG1FMg9+s3MtMV5yx8d18wxKiwj9+M186sWntNpoIMkySyLQ282jKjaJnSVRPwJlQmf+9NwCYOkTUqH28cTkntq4GoLElTjRwHIVqHEMREdAKPYq3qRHmQbGWZNyaV+mWJLJpnbUjZ7OjW2NiVqRrP6gYzZerig76fR1/86d5664fMfL8j1M2XhCdIbOnHTDOHfAjFxxY3jH+7JNZ98AfMKW+JomBxGjsOSezcv1mhp9zCv7SIqI9gvB17NqHicSwhbPpeOMpQHS43uMbzaI51Yxe8ya9Vx/PirEzGTm5jMCiU0ms+tOAbc+6SqTUp1x4Bi986ouYLi8OXTw0OFwujv/clex6aQkWeaXHoa27kC2THU0x0jvfYtr4EmS/Hy0DsdSRO9QHMYhB/GdwzI9cmzZtYvr06ciyzObNm1m3bl3u1ZcG/bDQ18G3/+vqq68GoK6ujuXLl9PT00Mmk2HXrl3ce++9gzVzh0B8+y72/e0Z1l7/xUOO6XhtCT0r3sM/fBil550DgCTLTP/1oQn7uu8OXKbHYxiJGE6niAD0wVPkR2sXOmXRljhVl1xKOqMPSH0WTZ120H1IBYfWq7JME6Nlu2gnPBwcHiSn56CLFn7pWi76/Y/F9lIR5MJKlJLD13OampprnDgc9i/E70Oosoy7UrvY2y3qmBLH5+u0kio8uOASoi1ROsIuMt1hNvzoFwAUThgxYDtb3ttJb3sv7heeoezZB3HWjcM1eV5uuZFRMcrGUPnB3/CWCKeEaPFQestEWtC14m2SqkFpl9AYTMcyOLxudKeH0uY9lFSKdTTdZGODiLbGq4ZSURciXVoFkkxg7y5MmxBvq4/QbYooZ1Y3mbLsJd5eeAZ+M4tbElHRs3e8QNJy5JpVAGaVOxjhSPFKT/6aWR0YQXc8S68m05NQGbXprdyyDU1xvrL2D8zbsgT9vKtorJpKfXOcBl8Vp+x6kyGxVh5Yfg8hNcne1gQPLL+H6x//NnUFFpfu+iefanqDoB21chUKkljqd3HcuIN/7yd8+TPcndrFpY8+wMl3H7pJTJZl7mxbc8Dnw+fPAuDryYH2bEqRiNaedNvnALj8yV9ROkZ8x33nR/a4qD1uEivWDbQaAwh2tjL80vMYNaUcSZJ44QeC1Hlqqw8YCzD0rJNJRkQ08K6UaBKqO24y5/zmhyzfEiN0gvBjnvuMuN5aOlKEo1mWvd9GsK6aqkIHJ3zrloNuexCDGMR/HsdM7JYuXXrI15IlSz6KOQ7iQ4Ji22J1LX37oMv1ZIr1X7iVhoceZug1l7Hqlm8OkMNId3YT3igcIYysSsn0yfiH1LDlFw/nxhjZLC1/zb93evtFdCUJKxUj0qXiD7npTeukMwPdIKSDRMjkypEo1aMPfWC63ThxRJ27o6uVs9T0Ievi+sNQDzSq3x9etwv5CNtSbV5bMmUib13/VZouu4CWt1YBoKkm237+G1refIvOpW/hGjYKqbiUpofFzXvDF26l5cXX6GmPEF71HpLLjR7uIbHmXSyHi5KrvoKJRHz7egCy7gCpQDnxonzNXWm4CcNCdLdaftT6LcSbWinu3kvkhrx9k1VQAOPGw/vvU9i8G5fdyOT4w28Z9o8/Yllw3hMiLdmyegu+rCCB4d8/jNbZAR4fxWUlXP7odwmMH8Om8ecyoTpEVYGHkY4kQ+oquKRCRM4+PkIQw96USkY3idnduhlkhkX35eY04eSTWLulm3hrBw3P/JOMJ0BhuJ2RbTu5eb04R5msQVZ2oOsmVUPzKW/Lsoindc7a/BJzP3MJ161/lbrjpx3xO/2f4Ev7Pjjg/S27BFmVZTm3vHioOLe3tguC+NV97+Py+chkDZa9L+otb25cyfKtMdS0itM98Np3VZTx+fcP7t2djcZZu7mb5ZsH2nGNP2sxejJFXM0/aFn236ZlWZimRbpxDwCFI4Ye+8EPYhCD+LdgsEji/xDiO3dT+8kLcm4G+6Ppz49TOH0KyYa9uCtEPU9ke1724+kJC3lp0YVoiSR7/v4iNYsXcuIffo6vKi9F0rV0Kan3l5JJqEQ60gMcvBSnQiojke6K4vA6Ke1ax7DJNfT05AlS8bixB5/8IeYMYGVtQerDEDvLso66CeJo0Ed4He6DRwABspp+yGX9kQwLApSNRGlfu5FNuyK0dohjkiyLoWNLqH/o99SMLMJdXYPkcBBtagUg1tQKpkkibdC98j0cZVVk9mwn8sKjFJ7+CXyjJ5CqGsXuc4Qe3Yb517F59hXEiqop3vYuI5J7Ka5UKHrtSfyWgR6NAHakKNrLyAl2h6WnFPPPj2Le8wOknduJ1I2i48ZvgGWSadjLS1fejWqYDJt3HACaZrFoy7OMbV7D8PGlDBlbQlI16E1mmX7GGFqcZTzf7cSpyJQEXFwwvpiuhMq2ikncPsWD06kQevMVNMNizPa3mP7BPwB4ocdPY0EtBdkYJza8y8tf+xmWBeseEF27z33idroqhtKbMtiwsQNDUoSHdFbFYaf8qy8TOpeuUJCrt/6D6V3bcJcUUzZmBNJBajA/TOzvSOIvLsTl8x10+eTrLscbCjL5+isGjDFNi4X33E6wvBQjlsDUNIaOFfWlHXaH9YI7bsRbePC61Pm3fAYL0BMDm51kWUY2Td765eM5vbvt9aLZJDBy2ID9Byo/euehQQxiEP8a/qVfsdWrV3PbbbdxySWXcMEFFwx4DeK/F3osxoTv3EXhjKkHLFt/01fpXbOeYZ+5imxnFx7bMu7Fheei7idE+rfRc2n8x0ukXnua+rtvpWDMiJztWO+TImKTjWTI9qbIqhbukRPQbTX+REcCr9+FHBTpcklRqBsnauOS0TS1x01mf5jt9Ye/4RqCQB0qzQpgdewC9fCOJANwFBE7AOkIUcIjResAVGSSaZ2utZs49zc/INyTIKMazLrtc3j9oivWZQny+8GfnyGDE13V6d2wJadTlkhrlFYH+eBnf0FracRRUUdojmjkcI6YgOn2snH2lbl9Blp2UPHBi3j+8RC+WYsY7WjB2L4GKxkR3rqSA9nIE9M9xfkI39yrhLPI6hhITzyOmcwTBH9pMXIoiGZYyOs3MLGfNEfF1g8wbBmS1e4hdCdUAh4HxQE3nQ6RCu1JqpQlO0kqHiaufYU6tZdR9e8xMdXKiGwYv5piUrmX7676BWfXL8HYT1Fac3tRPX4yGY14UmNnQ5he3PiG5XUq337mLbojGZKSkxld2/BmU4Rq//u66M+5/1vi3/u+ecCy+Tddnft/X3xNCQbZsquX0IQxzL3+8kNud9xpJyEHAxzqytQ0k56IiJx2hTNUnTiXsecI95FkSmPNlm5CNYPEbhCD+G/FMRO7J554gnnz5rFt2zaeeeYZNE1jy5YtLFmyhIKCI3QuDuI/Cj2dJdnciiOQ7/JUI1Hqf/V7Ol59k+633sVta3MFxo6iYv7s3BiA8jkiGmNqGorbja/Eiyxp+L2gxuLEbe3AVE8Ky7Bwex20tCQpPv8aPBeLmiQHGorbQcLpZHdTBsUrIhF//OaL/Ok7Lx8QZdD3HVkzy+pLiR6OZCXCcMhb2UHQr9v14Du1kJ2uww5xKgqOQ9TX9ceJ3/4Ka+uTDD/lBMaccgKSphGaMIZTv3ULLjvF5rPdKbK6xe6mKMMWzeedC6/iY9++hbtSu7CKbUHafe1UffWnVN/0Dd785HVs/PEvCdsZt0yglMC+bbjDrQxZ8giBueJm7Rw6zj4mcczlN9yF7nTnIpwNzTHS/Wy3KsfaJO+9VchPPI6RyeLZtze3/M72tUy44SqiTWHa1jYCMOZb32XKc78jgErounuI60LzbkhAbDdC/ly+VzwBzbAI6CnOH1WK6RmGNXkxjus/S7uzgNIf3E1vCmRbdqN5+GS+GN6aqxerLfEx6dJzAdgVk+nyFHLhIz9jyapW9HOuZO/SVWzcHmbF8h1k0xoGMp6QqCM09pe6+S/DJ158BADFke9729ctrv83Voj61ZtWv3TE7Rjpg5cR3JXaRc3iBbn3umFx9UuP8PHv385dqV28t7GL0Z+5ckAEcRCDGMR/F46Z2H3/+9/nvvvu44UXXsDlcvHzn/+c7du384lPfIIhQ4Z8FHMcxP8QWiKJaRh0r93I3udfBVlGDfeiRqJ0LXkLM5tl3vNPAOAsKgSEeK7i8zLqiotQo3GMrIqWTHLO289SNns6WiKJK+DCX+pD7tyDFk/S8tSTZONZfBOPy+1bVjNITifl06fS2JTCVxSA8mJGDA0w6rOfQ/ILInf50qe5YsmBMjra6n8ihY4gY2IID8+DuU7kECxDqj5Emveg2zw8sbNM44hpOwsGOLMcCt6iAkqmTsRrN5qYgNMjiFxn3EAuKGTiT+/Dffl1RGUvstOJO2D713pFlLJi2gTUUCmVQwuI7xU3+PZl77Dxx7+k+d3VVLkESSvcvZphr/6G8i98J1eYn2nYQeDCmzEMmcApF2GEynB+/HKM3jgT//QYe1sSEMoTbpfLifyVL8H9omlm7h2fB1Vl1J1fyI0pHFaLy+3A4ZSp/sKX0MqqsLxBJNOkc9sW0jgwTIszx1USMLP0pjQmFygUOSx6+3myrr7rB+x+5HFW3vQ1XEV+ou4gBT1tpONJDIeLEed/nGUnX8XGvb1kVIOTJlbw1FdORE0IbbhNI45DdXkYMnsapizz1td+mP9+dAO310lXRogKJ9MqmezRpc//Uxi9aD7Xvv9i7v0Nm96gS3Mx5Ds/wEoefUT6y40r+dSypw66LFgtonFvrRa1fP27dy9+7mFO/uaX/oWZD2IQg/h34ZiJXX19PWeeKSQKXC4XyWQSSZL48pe/zG9/+9sPfYKD+J/j5ZMvpvGJZ8HhJNXWQdWZp7N0zmKWzv4Ym+/4JtUXnE1w3BgmfPtreCorGPXFz/H3ySfR+vpyCkaPILJ1Jw1PPkuJFGbrjdfR/cE6Uls25rYfqgmS2LOHzOYPyESz1Fx6GWWnnU5Tr8GI8eVIDgeKoiBXD0f3+ZDsSEvdwgU5zbjyCWMPaertmnH6QT/PwdSRS2pzIqqHGoPj8BG2/jgsSQS0dAJDyx52zNE2awxbOAtfTSUuuwZs7h1f4IQ7bgSgQ3OzdlU9a196m3/e9C1KJ4xBcjgYMmc6w84+hZoZInVdPWMyXZYXZJlU4x7UeIIRE8sYOamMouMmsPNzXwYgWDOMwo+dS/fmetb8/FFw++n60310Pf4bJLeXHakgT+7qZSkVKJk0vxh7EqaiYF1wIcfVCnLndshIu3ez+JtfwlFcRNlpi3Hua8LsyFu2BcpFF7PH5+SJq27n4ePOINHWhY7MS+kCkqksNQUeXhs/B6VbrNd981cYbSRQdZOR770OgLp9A8MnlDJyUhntE6ahGBqSZdHWnWZ7U4yTvy2OK+RzMe2rL9LcnaTI7+K4qy9m/re/wvoxc6hKizox2Y7GBeyOUyTYsSdCR1uUgtpKas+9h57YMaTr/0OonJR/QCkZORQtmeSRU68CwHQcnYKVv7jwoFItADOv+QTjr7wIXbcYeubiAcvGnHICTs+hSx4GMYhB/OdxzMSuqKiIeFwUe9fU1LB5s7AOikQipFL//T+K/z+ja/cefjxi/oDPLMuCtn3s+vY9pFWd3U+/SNVZpxEcJ9TxFa8H/1ARaa279CIUt5uRN34WgIohIZJrV7DiC3egJfLfbd2YYoqr/fSEszSFBUmLPX4/bpdJ8TWf5xdzLuLJb/+B+r0RACSH6Ix1V1SStBxUVgcxbMskyelG8ocOGtmydBG5kQvLD1g2YFw6gVw77gj1btJRdM3aI91+pKMggUeqrzvaXo2yUcMpnjQ+l7Y9+RtfZMJZ4obauaeNcDTL6t8+KsZOHMP0e7+Fv7iIy5/8FSXDRe3YiBPnsOP19/BMmE50205W3pz3tbVCBfg6GwGoOeMCCk88nbbX30RvbaXu6w/gP24hemczvimzae2J5tZT9wptPOskUau3cHgJIbeDUr+Lu1K7mH/TNdy+731Cw4fhNfNRNhBRyLak7btr18G5PA48iQitkQzbew1G/+EBquoCeBt2MrYswCRfhOxXb8WpSNQueRaAonJBsB0FBWiyg8VLH+PCZ35HNK7S3RHnvvcjAFz0k+UA1Nt2YcPmzczpCk72DZzbub+6B9xuHH4fLR0pNMmRSy1+cvH/PmFzS89Hl78e2/Y/3t7QOTO44CHhOHHaD27/H29vEIMYxL8Xx0zsTjjhBF5/XTxNX3zxxXzxi1/ks5/9LJdeeimLFy8+wtqD+CjRvXMPansnv553Ph/88W8AqNEYHrd4io/0JlENk62//CPznn+C03au5eQNKwZsI7xxK9FdeyiaOJZgoQd9z04URaLppdfpjYq6HJfbgbvQizxtAac9N9Bb9d2/5tNEXreEb9o8JNvuyen345OFZtuwH/4RAKWglMIrv8bBYKVjRxYmBrBMJNcRan6s/tKrR97ekaC4PDjc3sOOOZo0bB+mXXc5zoPU40maICWJRiHx4Q6KWrA+W6c+jFgo6iFjsQRd776HFO2h4uxzmLtkOZYkU1QoyHXn2yvZ8KMH6V2xkuIKP3v+/hJFZ1+GJEnsiUJ0iIhmjf3qp/C8ZduIXScIUsjj5EsnjMS/nzNDLKOz4HNXDPiscGgt23Z1884eMf8pN3wKt8eBy67FKw23UbtzDYECD5OXPsmJcXF8Ti3BF8cXoiXSvLdBRPIm/eKXzHrmeXaUjARdY9xpJ1E8bRKWafKP95oG7Hd0ZTD3f812/BhymtAHvCu1i7tSuxg2byZ39W7mzo514PMiK4qwfgMuO3X6gV/OfzlG2G4nfTWGHybKRh3ZxnEQgxjEfxeOmdg9+OCDXHLJJQDcdddd3HLLLXR0dHDhhRfy8MMPH2HtQXyU6PPIDK/fzGs3CteB5L42EhmNSMZEkyRSksKab957iPVNXlp0IWu+8SOGnHNa7vPhV1xE13trcbqdvL+xk2hc6GYdd6sQOo61xkmF08TbE7QuW4liN0AEAm4cJflomzMQIBRysrtFz+3vcFzLyiTBEzjycRs6KEdKQVlHRbSsYyGAh9me9S9Iqxysg9ZVWY4JLPz2LVzw9G+Y+/kr8TjlXD3egOkEA2x9dQVlU0ZTUOqj+vIrMHQdh19EvQJ3fY43LrqWjT/5JWY8guTz8871tyLLMgVnXcHGsfOwfH6GPHQPlmmhmxZXv/sslufwBDatGRQEfQNqJANlRZDJoqXSjLviAj7+wztYuT3K2Dee5upZdWiRKJVDCpDs1OHr518NiAjdmq//EEW2iGctpj3+N9SSSlLxBB+UT4JSUf+lJpMDZHv+fNN8Hvj0LP58Uz5inVUNFk+r44vnH4aspdLULZxNfYtI15YU/O9rCjj/tz/kYz85OjeZY8HBal4HMYhB/PfjmC3FiovzlkyyLHPHHXccZvQg/p1Y95e/59/YYsQtb76NJEl0R1JkPT4y7d0E3AcnJNt/91dcRQWEN26l9ryPE9EtnA4JX3Up4z55Gg1L3+HUs4VQsJbScNuSJa0JhUpNxSgqA5qZdeOVrPrZ7/BUFCN78zfK0imT2PnPvzP0imsAMMLtSK7DSJTEupG8hyd2lprG6m07MmlLRQ6/PLdB68gOFn3jjoBj6ME95NgFt3+e7h31nPTVGwCIZzRcKfWgxzvzc59i3U8fIhuNUnvBBfx02AJkj5sx936XakDd18bwCaU5JwxncQmjpogmg9Ccj+F5djmZ2uHUTRhLuHkPmqxRM30ivL6DQo/zgP31IaObFPmcA2ok3QHxvVnxBPNv/jQOlwvd6cGKxvjzikZGd9uOB5+5jqaHfsWoKeXIXh9mOkX03eWUVAV4+eZ7abvzET4YmidmEyaLCNLEi88iHElR6fdw08fHMXvUgcLWkWSW0gIPRYFD116WHT+d46+/nKauGF6385iirP8t8IaCzPv8lUceeIw4VM3rIAYxiP9uHDWxi8ViRx4Eg3Ze/0HseXUZQ89YRNPLS8DWlVt/z/14PAoRzcIRcuMKBsj0dB+w7qafPUTvlh3M+em3eevTX+LFm7/J+CFeCoMuki88jTXleMLZPOFx+vI3+lbNS/XVn2bFT37Dwu/dxgm3fJbFd91Mets6jGReA6980kTK/yJSxGY2TfypB/AuPPfQB2SB5D5CBMX4cLsYLe3IbhIgXCeOaCd2lBwhksqS1g7ehbu/Hlk0o1PiP/h+T/3WLTSvWIN13EIKTzgRgNDc40m1d7LbP5xR7MmNlQMBmjvSuGafyBNPvMHYiiCmw8n42z7FGz0uplUrqEq+zvC0sYeuc4ykNcoPQp68Q2pJN+3LFftrsQSS6WTju+u4uXkDjsJCnv/JXxiBRijgZMe2NsbPn0QJoqvXkuUBpA6g1CEI9cl330xzd5LdbzVw4ZyDuyB8/hdLCfkPXyt53VJxPa58ZS2/uOUw1+IgBjGIQfwvwVGnYgsLCykqKjrkq2/5IP4zqF++ClcoSLEtVeBVJLb/7XkwTVwBH6YkUTC0hpnXX4HVr1vTyGTZ+8JrrP/+z9n32jK8FaKb0Y2GYZjExswEIL19K+MuPuOg+y4eNYxtz71GpqeXBV+6Nr/tZDzXOLE/zEgXIJonDgXL1I/Y8GDpGnLNuMOOAcB3lNemlkHy/c/1GI8lERtNa0cehEjvplSdgOvQ58QZ8NG9u5GlP/w1gdHDmfubn9L59+fYt+Td/JjiYnZ7htC2cTvR4xZSnO5la3eKyg+Ws9EoI7KrkSVvNdCRkjAti9GlfsaWHzpy2h7LUBk88Hv80tY3uTOxI/9BNkssZRDKxCkYN5rknNMJb95BRtUJTZ9Bc3uSLRFxvbzdG6A8IP5/S2mEVXcv5rwf3YjVT4amK5bBfZCUdB/W1Xexvbn3kMv748GnV1BbPqjDOYhBDOJ/P446Yrd06dLc/y3L4owzzuD3v/89NTU1H8nEBnFseOHGuzn+ustouv8hFnz+UzQ98jgffP52rOHDcDt0Tn/wFsrGjqBqyjh2/ODnWJaoOWt/exUtry9n7s+/x8ov3o27WBCgGRNFaitdW8feZcsYWg1KaSF0gK6bpNP5SJnD46bh2VeAgZpXZjqFs7zwoPOVnG7kYDGuEZMOfVCmcUj7szysI7pEHEu9m6WryN6jizpLR0jZHktSr8B76FRnH0wLFFk6bLqwauoEmlasoX31Bi588leEdZNse0cuczztL48iKQrvnHIlqZRBVU0NFW++x76PH4+3bSepLlFrhmXh9PtIZg0C7sP/TIRTGoW+A+cv73d+zvzjT1n7h79Qp/bQhosPviV08Pa2JDjp8k/Br1+k5c13uHjzK3z/W8/RnpX4wSSFeaeegaIonPXIzxg6N58e3NwcGdAssT/mjq/iZ9cvPOzcxaFa7GjqIqP+d2vYDWIQgxjE0eCoid2JJ5444L2iKMyZM4cRI0Z86JMaxLHhsUtuJNmwl8nnn07T/Q/R9MjjgLhhdWyvZ8gZC5l1zSdy41XFwZMjZqPZVmFnvPk0JVMn0rFyNb9eeCEVdrF9wXEzKZkzk5Xf/yUup8z0caPJbFlCV2gkUkGeXAxdMJOdTzyHuZ9gr6VmUYIHj4Jk1i3DM3MR0uHcG0zjyBIllpnruj3MoKO2CLN09ahkUWTH4euxjrV5Iug5sryKaVm4HYcnk9MuP491Dz/JsJMXMvyk+ejdCY7/wlWsuucXdPZm+cnYxTk9N8vlovWDjXzsnLPYteodtvz1GVKNzThLS8j2hPEWF9KeyBA6DLHL6iZORToq67RpnzyHW7uKOX/zS7z36HPIQOXC42l/+z0eXPDJ3LjnvvYzZKmOmcOKOPnCWbnPp37i7Nz/42mN7/9jM8u+feoh9xfwOqkrOzTx68Mzy7cAMLLmCELYgxjEIAbxvwAfreP1IP7HeP5L36Knfu9hx9S/IORnkk0tAz6PDR9FwKXg2M94POX1DYiElUydCIBj6mSMWJyIqmJ4fEz48U8Zc/ICvtq9gW31EUrryim76CoW/fLnfOzB+3Prz/70JdyV2sXXkzsG7Ce7ZzvyISRBjEgXrrGHL8621CwcyZTdOgrSpqYhGT78GBuS7DhiAb1lWUckbqZpHRCxOtS2QETijjz2yBIqZaOGc1vTKi5/8le0xTLIksTiu27mM2v/yeYdPXlSZ8HUb3wFz/x5hKZMpeap35G1HSuufOXPALgLgsQzOhUHSbP2IaMZlB2mOeFgOOnrt+MqEoT//N/+EGepIFQ1i+aD18Oe519D9fi56+yJh9zGJ+97C4DKwkN37MbT6lHNpyeW5Kl7rhhMxQ5iEIP4/wKDxO6/HJt++ygbnnrxkMvX/vUfuEuLubVzHW3L3mXc9aI77rJ967l2yeOccNsNTLj60gHrSJLE+O99jflP/4FLm9YC0LphK2v/+BQjzjudoAOMkRNy410+H7d2rkPr6sBddQypd8UxQO5kwBw8/iNbcqkpJO8RIi5HI0+Sih5+eW5TlqjrO9I40zyiOPFRy6sAnsPUifWHblrHlN7tiGcZVWpLnZTnu0ZN4NbOtUSnCuu3FQ8+wphf/Za44eC69a9SOWEMN21fyif/fB9dSfUA3br+SKrGAZp6h4JqmBS2NtL+yJ/BtPhq9waKh9aCLIHPy+VPP8SNG19DdyMQNwAAaYRJREFUdzhxTZtKbfGhG2caOhL86QvzD7kcwO8+cnoboDeWxu89eleSQQxiEIP4b8Yxy530x/9GaYD/jYjtaz/o51om8//au/OwqMr2D+DfWZgZtmFnANndEMUFQURNS0k0My1LMzW13kxTX8nK8i21fr2JWZllpdVbaqtpmZa74pIigiKgCOICCiqLrMMOM/P8/hg4zmGbcWOG8f5cF9fFOec5Z545h+WeZ7kf7J6/FI9+9DYk1tbI/ecEer/xCgBAJJPCUiaFRCaB2JYfHA1c8CL+fuE1MMbwTvUlAMD68HGATIaAcY/iyvF/4D10EO8cqY0NlJUVkPl2MajOTK2GUNL6P0t9QR0AQK1udfLFrRfS6G/Vk1gBVvZ6X45VlwN6lwkDwNR6x9cxZtgYu3q1psXExK2VFRuSiqVBaU09LBpaAi3tteMGH/3ifVg7OyFfJUKdnQPYH78j9ufNOL3xd9j5e8OlYbktey9tAH9DWYjhLaQSaVRdr4ZMbFhgmpFfDuvcazjx23cI+898brWHgf9+AZU3i2Ahk8G+kztKXl+KG6X6Zyc72bYdjAkNaAUFgMqaOlhKDAsCCSHE1Bkc2D311FO87ZqaGsyePRvW1vw1Nbdu3XpvakYAaAOEc99vwqW9h/H6xaO8Y9+NnArPYQMx4F+Tkfr5t/AdPxqOvQLg/+x4rkxtfgHENvxnNHThSzjx2Xeov1mEXW9FI/l/m7QL1tfUQPbP3wjwt4dr/77N66Kqh1Bq2DqR15bNgnX/lgeuq0sKwAwJoAxJPWJIV6xQCIEhEyIMWHECAOqrKiCSGND9aEBckVdWDXsrw1qLNIxBIjYsWFE3JKtu/PAlFAoBSxkGvKBNLn7qWikA4MXohThoJ0Xc/61GyOuzm13HUixsM/BUaRispYYFdq9uPYuHFNrnEPHOv7n9Qxe+xH0f9ctpxDJHdFW03lK7bt8FAIDTbXYBt0al0kDeSgoZQgjpaAz++G9nZ8f7mjp1Kjw8PJrtJ/dOzqkUCKy0gVTN9Tyse2gCsmJPAgCKr17DzdNnMW3rNyi7mIWk/1uFnvNfhF23zhj8RTR3jbrCIsjcFM2uvejqCXQaPhin1/6InlPG452qi7CxEgPV2jVhrf07NzuH1dVB2NZkhwaa6sq2j1eVw8K3h97rwMKAINKQwM6QMgAgFEJo76a/HAB9UdttrF8BkYEt39X1ar2TFJQ19VDW1ONKSRW8m4w/e7voLADgurIGFworMKm3BwDg4UVzAGjXd9WVfL0MN5RtB9cqjQZiA1rGVA3Lew2cPqHVpa9qVWrUNuTz+2V2eKvX2hSrzcfXVuLhepUGGo1hE1iq6+ohbaO7mRBCOhKD/5qtX7/+ftaD6Ci9ngv7Tu44+b9N6Dr2UQxdNBvFmTn4c+Js7H79AwxbPBcX9x+FIrQPhEIhTr/7EQBAbMX/R66qqICmrh7CVrqZJDbWENTX47EPFwMARr31Iqw7eSDn269bLK9SlkLQRvcqoB1/VhF/GACgqapouUx1BQRiPddhTDsrVg/GmP6uWI3asMBOowFEbXfJMcYgEIog0rNOrEH1AiATi2CtJ51Io6o6NdzlbQe7V0uqUVpdD5mFEP06tfxB65+sQtSoNNzYOaFQiGmHt8C9Nz8f4F9pec2Cw6aq69UQGBDCZpdoE2Z72LVe/5vltfBxtsbHz7a9XuuQAFdMG9r2bPy8kko46blXjZSVtbA0cDweIYSYOvqYaoK+7DoUb1ddROGFTPR9bjzcArvBNaALZF4eKEk5h79efguaMiWe2f4dmEaD4tTzcA7p0+w6GR+uhuujj7T6Or0nPwFLRztYyLT/AMUCBseBAyFsZcxUdeaFVtOXNKrPzUbZga0QyR0gf2Rsy2Wunoe058A2r8MqS/WvOgE0jLHTE1gYmMJEey19ZRgEIpHe8aUajQYWenPwaatu6Bq2zIAJGVYWIlTXq+HrYNXqeDxriRjh3vyuae8BfVss+1iP5q29utbGXoGVhQgjurm0WW7WpiQAbefrq65TQy6z0Bvo1tRr0Mmp7Z+Nq/nl8HHVn+oEAK7cKKauWEKI2aBZsSbqfauuuHniNPyGhgHQtqq8lnEEGrEYDy+LAmQydI14CAefm43Oz47H6D2beOcr086jLCUVnpOeauHqWr3GReLJr5YDAErijqNg5w5IXFzh8cykZmUrUk5B5ukDoUXbLRv5a98HALi+/B9IPFpe6klTUQaRq2eb14FaBYGV/nFxrLrcgIkYDNDTQqgtxiAQ6FnpQqM2aOKHhjGDBu+rDewuZAAkBgaK3VxsWk1BwhiDWCCAr0PbgZFGw9DdxabFpcJ0udlK0aONJMFN2bYRtCVdLdE7Q7hOpcHB1FxY6uk6ra5TwcXegA8GAGytpBAbcG8JIaQjoBa7dpJ54jT8DVhUu76mBgJbG1jZ2YIxxs1SbLREmQ4ACJ89DfmxCZDY2aHv4n83u0719Vx4P/8shGLDHnFpYiIAQGTZcvdVXUEuHIa3vKRYI3VlOQDA4YlpENs5tlpOIJHqTxeiVgF6Ew8DqK2CwE1PkmwDx9gZ0iKm7Yo15PNQ2ytENDIkfx2gDWj0Xa60uh4FFbVwamN9VJWGwdKA9CoqDTMojUlPdzlCvez1luvTyQ6fPBnUZpnKWhVC/Fr/uQGAypp6jO7bSe99O3khH4HebV8LAHKLlJDQ+DpCiBkxmxa7L7/8Er6+vpDJZAgLC0NCQoKxq8SzMvwplN7IR0Vh64ly62tqkLH3CKxcnfHSkS2YdbTtGcZnV3+D/u++3uIxVXkFRJZtj4/iXrekBFWZlxH8y2+truKgrqyAQM+M2JqMFFj1DYdV0IA2y+mu99lqGVUdINT/D5fV10Ag0fM+DUmJAhg+yeK2ssm19XLM4DVlK+pUbeaTA4D47BKU1ajanGBRVa+GpYX+e1Gv0Ri0msS10mr4tZFvDtC+z8bJE22prFVDqqdu5TUqvWUAIPFiASL6eektd/DUZYwc0FVvOUII6SjMIrD77bffsHDhQixbtgynT59Gnz59EBkZiYKCAmNXDQBQ3LAixN/LPsXnkc8j/2JWi+W+GfYMtk+eh/4vPgu5uwJyt9bHLRUln0N9eQWs3FseA1WVnQOJg73euilTUpCxbAlsg4IgdWt9RmhlWjIkrm3PGK1MjoPd8HEQWrb+j15dXgKo9S96rynJg0BmrbccVPpXF2CGBmwMMGCQ3b2K66BSM4OCp+p6NUqq6iGXtR3YCQWAXCaGrI1lx6oMzDtXU68xqDVRIhJCrCcP37HMInR2sdF7rY2xWZDqqVtyVjFcDJgUIbeSwMaApMPrd5zEo6EU2BFCzIdZBHarVq3CSy+9hJkzZyIwMBDr1q2DlZUVvv/+e2NXDQCQd/4yxv7fQkz7dgWGvTINP8x8A1dPnWlWrjK/EADwUNSLrV6rJP0CYibNwp7HJiNwzoxWy1VcuAybbvqTCef8sAGdnpsK75mtvyZjDKyuDmK5fZvXEkhkEDu2PYheU3oTYk/9/0g1xbkQOrW9ygVjDNDXWqctaFhgp643IHUKcK8iOw1jkBiQnLiqTgVHKwu9iYztLS0Q7uPYZjm1hkGiZ71ZQNtiZ6OnhZAxBo0Ba+JeK63GYH/D1mG10TNxolalQXcPA3ISGqC6th5qDYO3m8M9uR4hhJiCDj+4pK6uDomJiVi8eDG3TygUIiIiAnFxcS2eU1tbi9raWwlylUrlfa1j+v5j6DxYu3zT4Bcnwc7DFYe+2Ijuj9zK1aWuq0d9WTmisuPbvNb1/UfgPXYkbsQchc+4Ua2Wqy24Calz2/9Ma28WQFNbC4eBbc9QrTyTCGkn7zbLaOrroCrW30KqLrwBkUPLy4zx1NdAaKVnUH5NuWEBm6oWevPOMQ2Yur7VrmjdcvomWGjL6Q94NGAGVb+yTq13EoNaw6AyYCJGWU29QcHkpcJKSPSMsSuoqDPoWpmFVRjWxuoVgDaHXT8fBzi3sS4tAOSWVLe51Fijskr9CbBTM/MQGqhnEg8hhHQwHT6wKywshFqthkLB75JUKBQ4f/58i+dER0fjvffea4/qAQD6PRUJz763FjTv/kg46qtref/81XX1GPyfebB2bnvAt9eo4bD29IBiYP82ywW+t7jN4wAgEIngvyBKbzmhlTWcxz3b9rUggMOYyW2WAQAL30AIbez1l+szQm8ZiCQQebW+UDxXN3s3wEJ/OguRXH/AKRRLIDCgi9JSqr8bUCISGrREmLO1FFI9rWwCAIFtrNbQqJPcUu+1AEBhK4VCTzApEwvxTF8PvdeaGNwJbnq6TwUQYNFjAW2WAYDH+3eCQk9uPQBYNjVMbxkfNwf8+5khessRQkhHImCGNC2YsBs3bqBTp044fvw4wsNvtYAtWrQIR44cQXx88xawllrsvLy8UFZWBrn83nTzEEIIIcS8KZVK2NnZmVT80OFb7JydnSESiZCfn8/bn5+fD7dWJgNIpVJIpZSQlBBCCCHmpcNPnpBIJOjfvz9iYmK4fRqNBjExMbwWPEIIIYQQc9fhW+wAYOHChZg+fTpCQkIwYMAArF69GpWVlZg5c6axq0YIIYQQ0m7MIrCbNGkSbt68iaVLlyIvLw99+/bFnj17mk2oIIQQQggxZx1+8sS9UFZWBnt7e+Tk5JjM4EdCCCGEmLbGyZelpaWws7MzdnUAmEmL3d0qL9eucerlpX8JIkIIIYQQXeXl5SYT2FGLHbSTLW7cuAFbW1uDFm6/XY0RPbUIGgfdf+Oi+29cdP+Ni+6/cd3v+88YQ3l5OTw8PCA0IC9pe6AWO2hXqvD0vP8Z6OVyOf1iGxHdf+Oi+29cdP+Ni+6/cd3P+28qLXWNTCO8JIQQQgghd40CO0IIIYQQM0GBXTuQSqVYtmwZrXZhJHT/jYvuv3HR/Tcuuv/G9SDef5o8QQghhBBiJqjFjhBCCCHETFBgRwghhBBiJiiwI4QQQggxExTYEUIIIYSYCQrsCCGEEELMBAV299mXX34JX19fyGQyhIWFISEhwdhVMjn//PMPxo4dCw8PDwgEAmzbto13nDGGpUuXwt3dHZaWloiIiMDFixd5ZYqLizFlyhTI5XLY29vjxRdfREVFBa/MmTNn8NBDD0Emk8HLywsrV65sVpctW7YgICAAMpkMQUFB2LVr123XpSOJjo5GaGgobG1t4erqivHjxyMjI4NXpqamBnPnzoWTkxNsbGwwYcIE5Ofn88pkZ2djzJgxsLKygqurK9544w2oVCpemcOHDyM4OBhSqRRdunTBhg0bmtVH3++LIXXpSNauXYvevXtzWfHDw8Oxe/du7jjd+/a1YsUKCAQCREVFcfvoGdxf7777LgQCAe8rICCAO073/w4wct9s2rSJSSQS9v3337Nz586xl156idnb27P8/HxjV82k7Nq1i7399tts69atDAD7888/ecdXrFjB7Ozs2LZt21hKSgp74oknmJ+fH6uurubKjBo1ivXp04edOHGCHT16lHXp0oVNnjyZO15WVsYUCgWbMmUKS01NZb/++iuztLRkX3/9NVcmNjaWiUQitnLlSpaWlsbeeecdZmFhwc6ePXtbdelIIiMj2fr161lqaipLTk5mjz32GPP29mYVFRVcmdmzZzMvLy8WExPDTp06xQYOHMgGDRrEHVepVKxXr14sIiKCJSUlsV27djFnZ2e2ePFirkxmZiazsrJiCxcuZGlpaWzNmjVMJBKxPXv2cGUM+X3RV5eO5q+//mI7d+5kFy5cYBkZGew///kPs7CwYKmpqYwxuvftKSEhgfn6+rLevXuzBQsWcPvpGdxfy5YtYz179mS5ubnc182bN7njdP9vHwV299GAAQPY3LlzuW21Ws08PDxYdHS0EWtl2poGdhqNhrm5ubGPPvqI21daWsqkUin79ddfGWOMpaWlMQDs5MmTXJndu3czgUDArl+/zhhj7KuvvmIODg6straWK/Pmm2+y7t27c9sTJ05kY8aM4dUnLCyMvfzyywbXpaMrKChgANiRI0cYY9r3Z2FhwbZs2cKVSU9PZwBYXFwcY0wbmAuFQpaXl8eVWbt2LZPL5dz9XrRoEevZsyfvtSZNmsQiIyO5bX2/L4bUxRw4ODiw//3vf3Tv21F5eTnr2rUr279/Pxs2bBgX2NEzuP+WLVvG+vTp0+Ixuv93hrpi75O6ujokJiYiIiKC2ycUChEREYG4uDgj1qxjycrKQl5eHu8+2tnZISwsjLuPcXFxsLe3R0hICFcmIiICQqEQ8fHxXJmhQ4dCIpFwZSIjI5GRkYGSkhKujO7rNJZpfB1D6tLRlZWVAQAcHR0BAImJiaivr+e954CAAHh7e/Puf1BQEBQKBVcmMjISSqUS586d48q0dW8N+X0xpC4dmVqtxqZNm1BZWYnw8HC69+1o7ty5GDNmTLP7RM+gfVy8eBEeHh7w9/fHlClTkJ2dDYDu/52iwO4+KSwshFqt5v2wAYBCoUBeXp6RatXxNN6rtu5jXl4eXF1decfFYjEcHR15ZVq6hu5rtFZG97i+unRkGo0GUVFRGDx4MHr16gVA+54lEgns7e15ZZvelzu9t0qlEtXV1Qb9vhhSl47o7NmzsLGxgVQqxezZs/Hnn38iMDCQ7n072bRpE06fPo3o6Ohmx+gZ3H9hYWHYsGED9uzZg7Vr1yIrKwsPPfQQysvL6f7fIbGxK0AIMQ1z585Famoqjh07ZuyqPFC6d++O5ORklJWV4ffff8f06dNx5MgRY1frgZCTk4MFCxZg//79kMlkxq7OA2n06NHc971790ZYWBh8fHywefNmWFpaGrFmHRe12N0nzs7OEIlEzWbM5Ofnw83NzUi16nga71Vb99HNzQ0FBQW84yqVCsXFxbwyLV1D9zVaK6N7XF9dOqp58+Zhx44dOHToEDw9Pbn9bm5uqKurQ2lpKa980/typ/dWLpfD0tLSoN8XQ+rSEUkkEnTp0gX9+/dHdHQ0+vTpg88++4zufTtITExEQUEBgoODIRaLIRaLceTIEXz++ecQi8VQKBT0DNqZvb09unXrhkuXLtHvwB2iwO4+kUgk6N+/P2JiYrh9Go0GMTExCA8PN2LNOhY/Pz+4ubnx7qNSqUR8fDx3H8PDw1FaWorExESuzMGDB6HRaBAWFsaV+eeff1BfX8+V2b9/P7p37w4HBweujO7rNJZpfB1D6tLRMMYwb948/Pnnnzh48CD8/Px4x/v37w8LCwvee87IyEB2djbv/p89e5YXXO/fvx9yuRyBgYFcmbburSG/L4bUxRxoNBrU1tbSvW8HI0aMwNmzZ5GcnMx9hYSEYMqUKdz39AzaV0VFBS5fvgx3d3f6HbhTxp69Yc42bdrEpFIp27BhA0tLS2OzZs1i9vb2vNk7RDsjLSkpiSUlJTEAbNWqVSwpKYldvXqVMaZNMWJvb8+2b9/Ozpw5w8aNG9diupN+/fqx+Ph4duzYMda1a1deupPS0lKmUCjYtGnTWGpqKtu0aROzsrJqlu5ELBazjz/+mKWnp7Nly5a1mO5EX106kjlz5jA7Ozt2+PBhXrqBqqoqrszs2bOZt7c3O3jwIDt16hQLDw9n4eHh3PHGdAMjR45kycnJbM+ePczFxaXFdANvvPEGS09PZ19++WWL6Qb0/b7oq0tH89Zbb7EjR46wrKwsdubMGfbWW28xgUDA9u3bxxije28MurNiGaNncL+99tpr7PDhwywrK4vFxsayiIgI5uzszAoKChhjdP/vBAV299maNWuYt7c3k0gkbMCAAezEiRPGrpLJOXToEAPQ7Gv69OmMMW2akSVLljCFQsGkUikbMWIEy8jI4F2jqKiITZ48mdnY2DC5XM5mzpzJysvLeWVSUlLYkCFDmFQqZZ06dWIrVqxoVpfNmzezbt26MYlEwnr27Ml27tzJO25IXTqSlu47ALZ+/XquTHV1NXvllVeYg4MDs7KyYk8++STLzc3lXefKlSts9OjRzNLSkjk7O7PXXnuN1dfX88ocOnSI9e3bl0kkEubv7897jUb6fl8MqUtH8sILLzAfHx8mkUiYi4sLGzFiBBfUMUb33hiaBnb0DO6vSZMmMXd3dyaRSFinTp3YpEmT2KVLl7jjdP9vn4AxxozTVkgIIYQQQu4lGmNHCCGEEGImKLAjhBBCCDETFNgRQgghhJgJCuwIIYQQQswEBXaEEEIIIWaCAjtCCCGEEDNBgR0hhBBCiJmgwI4QQgghxExQYEcIMTu+vr5YvXq1satx32zYsAH29vbGrgYhxARRYEcIuWMzZszA+PHjue2HH34YUVFR7fb6rQU4J0+exKxZs9qtHoQQYioosCOEmJy6urq7Ot/FxQVWVlb3qDYPjvr6emNXgRBylyiwI4TcEzNmzMCRI0fw2WefQSAQQCAQ4MqVKwCA1NRUjB49GjY2NlAoFJg2bRoKCwu5cx9++GHMmzcPUVFRcHZ2RmRkJABg1apVCAoKgrW1Nby8vPDKK6+goqICAHD48GHMnDkTZWVl3Ou9++67AJp3xWZnZ2PcuHGwsbGBXC7HxIkTkZ+fzx1/99130bdvX/z444/w9fWFnZ0dnn32WZSXl7f6fhtbC/fu3YsePXrAxsYGo0aNQm5uLu99NW3BHD9+PGbMmMFt+/r64r///S+ef/552NjYwMfHB3/99Rdu3rzJ1bl37944depUszps27YNXbt2hUwmQ2RkJHJycnjHt2/fjuDgYMhkMvj7++O9996DSqXijgsEAqxduxZPPPEErK2t8cEHH7T6fgkhHQMFdoSQe+Kzzz5DeHg4XnrpJeTm5iI3NxdeXl4oLS3F8OHD0a9fP5w6dQp79uxBfn4+Jk6cyDt/48aNkEgkiI2Nxbp16wAAQqEQn3/+Oc6dO4eNGzfi4MGDWLRoEQBg0KBBWL16NeRyOfd6r7/+erN6aTQajBs3DsXFxThy5Aj279+PzMxMTJo0iVfu8uXL2LZtG3bs2IEdO3bgyJEjWLFiRZvvuaqqCh9//DF+/PFH/PPPP8jOzm6xDvp8+umnGDx4MJKSkjBmzBhMmzYNzz//PKZOnYrTp0+jc+fOeP7558EY4732Bx98gB9++AGxsbEoLS3Fs88+yx0/evQonn/+eSxYsABpaWn4+uuvsWHDhmbB27vvvosnn3wSZ8+exQsvvHDbdSeEmBhGCCF3aPr06WzcuHHc9rBhw9iCBQt4Zd5//302cuRI3r6cnBwGgGVkZHDn9evXT+/rbdmyhTk5OXHb69evZ3Z2ds3K+fj4sE8//ZQxxti+ffuYSCRi2dnZ3PFz584xACwhIYExxtiyZcuYlZUVUyqVXJk33niDhYWFtVqX9evXMwDs0qVL3L4vv/ySKRQKbrul+zFu3Dg2ffp0Xl2nTp3Kbefm5jIAbMmSJdy+uLg4BoDl5ubyXvvEiRNcmfT0dAaAxcfHM8YYGzFiBFu+fDnvtX/88Ufm7u7ObQNgUVFRrb5HQkjHIzZeSEkIeRCkpKTg0KFDsLGxaXbs8uXL6NatGwCgf//+zY4fOHAA0dHROH/+PJRKJVQqFWpqalBVVWXwGLr09HR4eXnBy8uL2xcYGAh7e3ukp6cjNDQUgLZL1NbWlivj7u6OgoKCNq9tZWWFzp0739Y5Lenduzf3vUKhAAAEBQU121dQUAA3NzcAgFgs5uoOAAEBAdx7GjBgAFJSUhAbG8troVOr1c3uX0hIyG3XlxBiuiiwI4TcVxUVFRg7diw+/PDDZsfc3d25762trXnHrly5gscffxxz5szBBx98AEdHRxw7dgwvvvgi6urq7vnkCAsLC962QCCARqO57XOYTnepUCjkbQMtT1DQvY5AIGh1n7766KqoqMB7772Hp556qtkxmUzGfd/0vhNCOjYK7Agh94xEIoFarebtCw4Oxh9//AFfX1+IxYb/yUlMTIRGo8Enn3wCoVA7HHjz5s16X6+pHj16ICcnBzk5OVyrXVpaGkpLSxEYGGhwfe6Ei4sLbzKFWq1GamoqHnnkkbu+tkqlwqlTpzBgwAAAQEZGBkpLS9GjRw8A2vuekZGBLl263PVrEUI6Dpo8QQi5Z3x9fREfH48rV66gsLAQGo0Gc+fORXFxMSZPnoyTJ0/i8uXL2Lt3L2bOnNlmUNalSxfU19djzZo1yMzMxI8//shNqtB9vYqKCsTExKCwsBBVVVXNrhMREYGgoCBMmTIFp0+fRkJCAp5//nkMGzbsvndDDh8+HDt37sTOnTtx/vx5zJkzB6Wlpffk2hYWFpg/fz7i4+ORmJiIGTNmYODAgVygt3TpUvzwww947733cO7cOaSnp2PTpk1455137snrE0JMEwV2hJB75vXXX4dIJEJgYCBcXFyQnZ0NDw8PxMbGQq1WY+TIkQgKCkJUVBTs7e25lriW9OnTB6tWrcKHH36IXr164eeff0Z0dDSvzKBBgzB79mxMmjQJLi4uWLlyZbPrCAQCbN++HQ4ODhg6dCgiIiLg7++P33777Z6//6ZeeOEFTJ8+nQsk/f3970lrHaAd3/fmm2/iueeew+DBg2FjY8N7T5GRkdixYwf27duH0NBQDBw4EJ9++il8fHzuyesTQkyTgDUdAEIIIYQQQjokarEjhBBCCDETFNgRQgghhJgJCuwIIYQQQswEBXaEEEIIIWaCAjtCCCGEEDNBgR0hhBBCiJmgwI4QQgghxExQYEcIIYQQYiYosCOEEEIIMRMU2BFCCCGEmAkK7AghhBBCzAQFdoQQQgghZoICO0IIIYQQM0GBHSGEEEKImaDAjhBCCCHETIiNXQFToNFocOPGDdja2kIgEBi7OoQQQgjpABhjKC8vh4eHB4RC02gro8AOwI0bN+Dl5WXsahBCCCGkA8rJyYGnp6exqwGAAjsAgK2tLQDtg5HL5UauDSGEEEI6AqVSCS8vLy6OMAUU2AFc96tcLqfAjhBCCCG3xZSGcZlGhzAhhBBCCLlrFNgRQgghhJgJCuwIIYQQQswEBXaEEEIIIWaCAjtCCCGEEDNBgR0hhBBCiJmgwI4QQgghxExQYEcIIYQQYiYosCOEEEIIMRMU2BFCCCGEmAkK7AghhBBCzAQFdoQQQgghZoICO0IIIYQQM0GBHSGEEEKImaDAjhBCCCHETFBgRwghhBBiJkw6sFOr1ViyZAn8/PxgaWmJzp074/333wdjjCvDGMPSpUvh7u4OS0tLRERE4OLFi0asNSGEEEKIcZh0YPfhhx9i7dq1+OKLL5Ceno4PP/wQK1euxJo1a7gyK1euxOeff45169YhPj4e1tbWiIyMRE1NjRFrTgghhBDS/gRMt/nLxDz++ONQKBT47rvvuH0TJkyApaUlfvrpJzDG4OHhgddeew2vv/46AKCsrAwKhQIbNmzAs88+2+J1a2trUVtby20rlUp4eXmhrKwMcrn8/r4pQgghhJgFpVIJOzs7k4ofTLrFbtCgQYiJicGFCxcAACkpKTh27BhGjx4NAMjKykJeXh4iIiK4c+zs7BAWFoa4uLhWrxsdHQ07Ozvuy8vL6/6+EUIIIYSQdiA2dgXa8tZbb0GpVCIgIAAikQhqtRoffPABpkyZAgDIy8sDACgUCt55CoWCO9aSxYsXY+HChdx2Y4sdIYQQQkhHZtKB3ebNm/Hzzz/jl19+Qc+ePZGcnIyoqCh4eHhg+vTpd3xdqVQKqVR6D2tKCCGEEGJ8Jh3YvfHGG3jrrbe4sXJBQUG4evUqoqOjMX36dLi5uQEA8vPz4e7uzp2Xn5+Pvn37GqPKhBBCCCFGY9Jj7KqqqiAU8qsoEomg0WgAAH5+fnBzc0NMTAx3XKlUIj4+HuHh4e1aV0IIIYQQYzPpFruxY8figw8+gLe3N3r27ImkpCSsWrUKL7zwAgBAIBAgKioK//3vf9G1a1f4+flhyZIl8PDwwPjx441beUIIIYSQdmbSgd2aNWuwZMkSvPLKKygoKICHhwdefvllLF26lCuzaNEiVFZWYtasWSgtLcWQIUOwZ88eyGQyI9acEEIIIaT9mXQeu/ZiinloCCGEEGLaTDF+MOkxdoQQQgghxHAU2BFCCCGEmAkK7AghhBBCzAQFdoQQQgghZoICO0IIIYQQM0GBHSGEEEKImaDAjhBCCCHETFBgRwghhBBiJiiwI4QQQggxExTYEUIIIYSYCQrsCCGEEELMBAV2hBBCCCFmggI7QgghhBAzQYEdIYQQQoiZoMCOEEIIIcRMUGBHCCGEEGImKLAjhBBCCDETFNgRQgghhJgJCuwIIYQQQswEBXaEEEIIIWaCAjtCCCGEEDNBgR0hhBBCiJkw+cDu+vXrmDp1KpycnGBpaYmgoCCcOnWKO84Yw9KlS+Hu7g5LS0tERETg4sWLRqwxIYQQQohxmHRgV1JSgsGDB8PCwgK7d+9GWloaPvnkEzg4OHBlVq5cic8//xzr1q1DfHw8rK2tERkZiZqaGiPWnBBCCCGk/QkYY8zYlWjNW2+9hdjYWBw9erTF44wxeHh44LXXXsPrr78OACgrK4NCocCGDRvw7LPPtnhebW0tamtruW2lUgkvLy+UlZVBLpff+zdCCCGEELOjVCphZ2dnUvGDSbfY/fXXXwgJCcEzzzwDV1dX9OvXD99++y13PCsrC3l5eYiIiOD22dnZISwsDHFxca1eNzo6GnZ2dtyXl5fXfX0fhBBCCCHtwaQDu8zMTKxduxZdu3bF3r17MWfOHPz73//Gxo0bAQB5eXkAAIVCwTtPoVBwx1qyePFilJWVcV85OTn3700QQgghhLQTsbEr0BaNRoOQkBAsX74cANCvXz+kpqZi3bp1mD59+h1fVyqVQiqV3qtqEkIIIYSYBJNusXN3d0dgYCBvX48ePZCdnQ0AcHNzAwDk5+fzyuTn53PHCCGEEEIeFCYd2A0ePBgZGRm8fRcuXICPjw8AwM/PD25uboiJieGOK5VKxMfHIzw8vF3rSgghhBBibCbdFfvqq69i0KBBWL58OSZOnIiEhAR88803+OabbwAAAoEAUVFR+O9//4uuXbvCz88PS5YsgYeHB8aPH2/cyhNCCCGEtDOTDuxCQ0Px559/YvHixfi///s/+Pn5YfXq1ZgyZQpXZtGiRaisrMSsWbNQWlqKIUOGYM+ePZDJZEasOSGEEEJI+zPpPHbtxRTz0BBCCCHEtJli/GDSY+wIIYQQQojhKLAjhBBCCDETFNgRQgghhJgJCuwIIYQQQswEBXaEEEIIIWaCAjtCCCGEEDNBgR0h5IHBGMNPJ7PxycGLKK6sM3Z1CCHknjPpBMWEEHKvMMZwo6wGG+K1a0172ltiUrCnkWtFCCH3FgV2hBCzl19egykbT/H2KWvqjVQbQgi5f6grlhBi9mIybjbbl1lYZYSaEELI/UWBHSHE7F28WdFs38nsEiPUhBBC7i/qiiWEmD2puOXPsBFfHOO+H+LvhGOZRRALBXikqwumDfCGh52svapICCH3BLXYEULMXmWtWm+ZY5lFAACVhmF/RgF2nsu939UihJB7jlrsCCFmL+5KMQDgteFdYGdpgY3x2bhcWNnmOcoaVXtUjRBC7ilqsSOEmD2xUAAA8HW0xiA/J0wK9kTDrlZV1+tv5SOEEFNDLXaEELNWp9ZApWEAAC8HSwDA8G4uCPd1hJoxWElEKK6sw7MbTgIARvVQYE96PqrqKLAjhHQ81GJHCDFre9Lyue8tLUS3vpeIYCMVQygQwNlGimmhXhjT0w39ve0BAAlXb82aPXGlGN/EZkHdECASQoipohY7QohZ0jAGoUCAz49c5vaJ2uh/nR7mAwA4c72Mdw0BgHd2pAEAfJ2sMDJAcX8qTAgh9wC12BFCzM7e9HyMWXsca3SCOkP1cLPlvs8ursKLv5zmtlceuHhP6kcIIfcLBXaEELOzJek66jUM28/eSlky2N/RoHMtRLf+LB68cBPZJdW840cuFaKi1rxnzNapNTh2uRA7UvOQkV9u0DmXCysQm1mEwopaHLlUiJsVtbzjZdX1SLleBsZa7s6uqFXhn0uFOHm15J52eRdX1uGP5Os4ebUEmlZe+26p1BqcuFLcYiJsQtobdcUSQsxOTQszWt8d3cPg8/t52iHpWhm2JF1vduz9PecxopsLFo/sfld1NGW/J13H9yeuctu/TA+Fq6201fJl1fWYvSkZumGTp70lNkztz20v35eBxJxS/PfxQAz0bR5kf3U0E/vOFwAA3h7ZHY90c7n7NwJg4Z9nca1UG5y/OzoAQzo735Pr6tp5Lg9r/skEAGx5YQAcrCT3/DUIMRS12BFCOizGGL6Lu4IfE7IxecNJTN14EjfKapBXXtusrECgJ7+Jjk722tmz9TotR94OlujiYg0AiLnQfO3ZjigmowDv7krHP5cKAQDbz9zAsl1p+DEhm1fuvJ5Wu21nbqBpW9i10mos25WGiC+OIeKLY0jMKQVwa7xio6OXC/HurnTEZRVz+3RbWu9WY1AHAOtis3jHdp3Lw7PrE/BrYs4dXZsxhv8dv8IFdQAw/adEXOogLXdqDcNXRzOxMf5qqy2ppOPpUIHdihUrIBAIEBUVxe2rqanB3Llz4eTkBBsbG0yYMAH5+fmtX4QQYjbO51fg18Rr2JiQjZsVtcgrr8WK/RnNyhke0mmFN2lR6qGwxfdT+mNJZAC3r7CiefBoqhr/aTPGoFJruC7J6P0XcCyzCJ8cvIjqejXW/JOJ2MxiXkALAEWVdW1ev7VANzazuMX9ul2tXx3NxLHMIpTrdG+n5ir1vykD5CtreNt5ylpUN6Sx0TCGVYcuobCyDt/FXb2j53nxZiU2nb7G21dVp8YPTQJjU3X2Rhm2ptzAjydzmg05INqf044Y8HaYwO7kyZP4+uuv0bt3b97+V199FX///Te2bNmCI0eO4MaNG3jqqaeMVEtCSHtKzClpti8t71brUtTDnTE11Au/zRxwW9f1dbLibUd013YLNrbkAcCzG07etzFb99Le9HxM+C4e53KVeO3Psxi19jie/PYENusEJDUqDZbv0wbEEpEQUQ93wfQB3tzx/8VdafX6hRW1uFFW02x/1MNdMC3Uq8VzIr+KRWquEtdKqnGzQhs0zhrkyytz6C5bRVVqDab9eKrZ/t+Ttd3rl27yVx6pvIO8ha21ZB7PKka9WnPb12tvuq2nf93DVlJzcOjCTTy+7jhe3pTUIZ6lrg4R2FVUVGDKlCn49ttv4eDgwO0vKyvDd999h1WrVmH48OHo378/1q9fj+PHj+PEiRNGrDEh5H7TMIbDFwtbPT6+tzse7+WOGWE+cLS+vTFPztb88WQD/VqeeHHiSsstUqagqLIOW5Ku4aOYi1DWqLDgjzM4c0PbElZZp8Y3x69wZdUaxnWF+jpZ4fFebpg2wBtzH/IHANSqNC0Gb4UVtVxiZwDo6S6HUAAsiuiKx3u5YXJIy4EdACRfK8VvSbeCywl9O+HDcb247c1J11o6zWB5ylo0NgyOC3Ln9m9MyEZNvRrxTZ5dZZ3+CTH1ag3isoqQnleOwxdvIi2v9ZbF5GtlrR4zBcqaetSobgUsf6fmolZFSbkB7e/DB/syUK9hyCyqwvYzuSiparvV2pR0iMBu7ty5GDNmDCIiInj7ExMTUV9fz9sfEBAAb29vxMXFtXq92tpaKJVK3hchpGOJzSzCleIqAMC0UC+sm9SXOzZrkC/mDe18x9cWCQXYN3cwtv4rDLvnDILCVsYd69vJjvt+6c70FgMeUzBpfQK+jr1y2+dFj+3JfT9cZwLDK5uTmnVL/efvc7zt1U8FYfuscC7Xn0QkxN5XBuPR7q7NXiezqAq7G5JHj+npBpFQgP5e9lg0oisAbTdnS5NgDNXYtWsjFWH+MP7PwsaEbPyVym+hqjagxW772Vws2ZmO+b+n4L97M3Agg9+q+PH4XnCTaz8UfLDv/B3XvT381qQLWcOA3043nyz0IGr6oWJdbBai918wUm1un8kHdps2bcLp06cRHR3d7FheXh4kEgns7e15+xUKBfLy8lq9ZnR0NOzs7LgvL6/WP1USQkzTbp0VJcb2ckdnZ2tMCvbEI11dENnj7pMICwUCyGUWvPQnADBvqD9v+/kfT2HF/gyoWumuKauuR8QXx/Dv31NQdxtdOn+dzcXSnWnYGH8VH8dcxJWiyjbL16k1+OpoJk5ll9zx4P0ZYd6ws7Tgtm2ktxInVNSq8eiXsXh3VzpOXCnGznN5yCyq4o73cpdDIBDwVvcAtEHyjIHeGNbFGa8N78Ltb5ywAWhbVxsN6ezEfZ9RUIFVBy9i6c602x631ph6RDcob7T/fAFKqup5+wwZ13e9lD8OrauLNYb4O2GIvxOeCHJHkIcdnunbCYD2fl0suPNJFJduVuDJb09g5k+JiMkouOPrtKa04f276cx2/iEhu0ONHb1fvou7NSPcRqr9eT6dU4o1Ry7f1u+wsZh0upOcnBwsWLAA+/fvh0zW/JfzTi1evBgLFy7ktpVKJQV3hHQwjQP6n+ztznW1vtRknNb94OtkjQPzhuDtv88hvmHZsQMZN9HDTc7r8mv0dsM4prS8cpzKLkG4r2OrM3TVGgahAKhXM27FjOMNXaQ5pdX4bELvFs8DtIHg1pQb2JpyAw93vbOUHlNDvXnbIqEA9pYWKK2+FQQdyyxCVlElcptMTHh/TGCr11XYyrBklHbiSWWdGuuO3ZqdOrSLM/ycrLltK4kY1hIRKuvUWH/iKhdwHc8qxvCuLvB0sIQhrja05taqmv8j1n0/cpkYyhoVMosqudVKWtN0/eAlowLgYcevz5iebtws2c1J1/F2pGFpcRhj3M8FYwyrD19Cea0K5bUqRO+/gOHdXG5rZrc+ZTXae/Bsf08obGVY3ND6uu98AZ5rowvd3DVtlV47qR9m/pQIVUNezGAvewz2d2qxrKkw6Ra7xMREFBQUIDg4GGKxGGKxGEeOHMHnn38OsVgMhUKBuro6lJaW8s7Lz8+Hm5tbq9eVSqWQy+W8L0JIx6HWMFwu1LZgPXQf8pIZYsHDXXjb609cabGc7gD7pTvTMXdzSosJeH86mY1RX8ViwR9nuIkMus7lKjF/S0qr9dENlhrHHrrYSLD40W74ZXoor2z02J747rlgfPD4rWCstX/mnz4V1Gzf9bIabvzatFAvrHm6D2xlhrUTWDVp0ZvfpAUU0AbPQPNWtBk/JyIxu/mEmZY0BnQDfLTjsrf+KwxPBLlj1iBfXhdzYzAem1mMcd+caDO1yxGdVkYXG0mzoA4AxCIhnmi45qGLNw3q4t2Rmoenv4tHRn453t2VjlFrj+N8Pr+1b8oPpwy6liF+O30NJ65o76O1VIz+3vZwbvhwpJu/8EFU0+SDgMJWilU6vwPLdqVjyY40lFbXY/KGk/jQBLtoTTqwGzFiBM6ePYvk5GTuKyQkBFOmTOG+t7CwQExMDHdORkYGsrOzER4ebsSaE0Luh3xlDdafuIo/U25w+7q62hilLk0T9lbUqpv9423pE/2FmxXIbTIur6JWhQ3x2WDQtuwdyyxq8TXT88uR1dAlm5qrxIWGrr7WuofejOiGEd1d4WorxeJHu0EiEuLtyO4I9XGAj6MVwnwdERngCicrCSb269TiNbwcrPDyYN8WjwHaNXZ1l2HTp6e7HFYWIggFwKuPdGkxma9EdKtlqun6vo358PQ5c0M7ecGzYSazXGaBfw/rjInBnniuvycsLUTo5mqDkTrd9tX16mZjz3SpdALyZW0kvJbrBLmXCm8FaIwxnL1RhjKdFsMbZdVYffgSympUmLslBccyi1oM/AvKa3G1pKrZ/ttVWafCtzoTZ3oobCEUCOBic+vnOU9pmuNG24Puiimh3g4QCgQIdJNjwcOdubRJcVeK8Z+/z6Gwsg6xrfyuGpNJd8Xa2tqiV69evH3W1tZwcnLi9r/44otYuHAhHB0dIZfLMX/+fISHh2PgwIHGqDIh5D6a8gM/fYW7XNZsTFd72j93ME5fK8Ob21MBAOvjr+KVh261QKVcb3lm5MnsEl6X4meHL7VYbuPU/rCztMDczcm43hAMzt+SgjXP9EHUH2cAAJtnDuDlgNOl26I0orsrHu7q0ixQeiOiG9Qa1my/rmf6eWJckAcYGMasuzUxLdTbodVzWuPjaIXf/xUGtYa1+uyGd3NBUsOs0u0vDcTRy0X48IC2ZcSQ5dyUNfXcpBZ5Cy2Jvk7W+ONfYRALBRAKBJCJhVxLzdHLRS3eD91JMj8/HwKFvPXhQfY64xRTrpchyEM74Sbhagne3pEGha0UP08PBWMMr/5xts33surJIETvz8DNiro7SsnS1Fc6yZSXjw2EW8P76N1JjvSG1so3t6di47SQu36tjqhxLKeVhQjLx95q0R7byx3Du7lg3DfajBsX7mL85P1m0i12hvj000/x+OOPY8KECRg6dCjc3NywdetWY1eLkHYRf6WYy+7/9t/nTHaGpiGOXS7EZ4cvtToTsmnOuBBv+3YZU9cWgUCAfp52XPCwNeUGfjp5a5D/H8k3Wjzvy6OZyGzoSt51Lg+HWknbYisTw0YqxusNM0UBbVfRRwcuctsT1ydg9m9Jzc7t5S5v1qrYWvDWVlDXSCIWQioWcV12AGApubOgWiISthmQj+juitGBCrw9sjtkFiLemMFdafl6EyYv3HorWGrsim2pDo3j6V59pAvcdQK171voVtcdU9hWUAcAjwXeGgrUuEwaAK4lNr+8Fok5pbhZUYcinTQaPVto+ezpLuda06pbScnyZ8oNLNmZhiU70zB5QwKW7EhrMQDOLqnCXp362FveepYT+3ly3+u7v+YsMbsUANDLQ95sTKO1xKTbwjgdLrA7fPgwVq9ezW3LZDJ8+eWXKC4uRmVlJbZu3drm+DpCzMn3J65y2f3jr5Zg25kb93QB9fagUmugUmvw7u7z+Ds1D3vTb8121c38rjtwfWhnJ6x4oheGdjHO+DpdQoEA/9UZq7YhPhu5yhrUqzW40DAzs7+XfbPzvo7NglqjHSSvqzGpr1Qs5P6RBHnY4cC8IdwMxgtNZr3Wq7X36KHOTjgwbwgOzBuC1W1MtLgbj3S9NT7N0uL+/AuRiIR4bXhXbr1YC5GQd4/36PyM1Df8/DS6VlLNpcGxk4lhZcA/4xHdXfHj8yHoZKcN2H47fZ3rLm38fapsCJR6uesfky0RC7kPHTfKargPJXLZrZa8/x3PwmmdbuUD84bgs6f7QKETjD8/wBsioQBWDQF008kbag2DsqYeXx7NRFxWMeKyinGzog5xV4qx7UzzDxVbU/j7XGxuBXZ2lhbY+q8wANoPD3eSlNdUJxM0xditvytqDYOmYVs7eUZbRnemtq7GnxFT1jHCT0JIi5p+Kt+acgN70vKxYlxPBLqZ/qSgjfFX8eNJ/jqd8VdLMK63Bw5kFGBFw8DkXbMH8VZKePWRrjAlPRS2WD62J5fXbVqTLuOXB/uhql6NhCvF+CVR+z4Sc0oR+VUsV2ZqqBcG+jrC39kaPo5W8HawataStuKJXkhpGDtWUatCwtUSrrv3lYf8eEHX/TK8mwu2NKzeUF6jv1v0Xhng4wBfRytcKa7C+hNXYSMV4+yNMm6iyHP9PfFCuC93fwAg5Da7ipeP7YnpPyUCAE5ll+BUdikOZBTg+QHeXDdlY/oLfZ7o5c6NZTt2uQhDuzjzVkq5eLMSHx/Utrz21AkWv3imD05cKYalhQjhDYmxG4PT3en53JjA1FwlFv91DtUNLdwysRDBXvbcLOqsIv54vHxlDXakatOAOVlLsHRUQLPxjbotUu/uSscHOjkN9blcWIE3tqViWqg3nuzjYfB5xvD2jjSUVtXj3w93xpvbUyEUCJoNZ/B1tG7x3BXjeuFiQQWcrCUorqpDcWkZjrRHpW8DBXaEdGD5LSx2X1WvxqeHLuHbycFGqJFhyqrrkZhTyuumanQuV4kYnaAO0I5da5wNaSsVGzwDs70IBAIM8HHAU308mrWKANpxZSKhAAGuNtiacqPZzDsAmBHmw33/cCsBmqeDJW9s3sgAV7z0axJcbCQYF+RhUJfq3bLS6X41dCLDvSAUCDB3qD/e2KYdz7imIR1Mo18Sr+HxXu68/IbPtDIhpDWd7C0hFQtRq9Lgt9PXuDx9GxOy4dewzJxEZFgrpW439b7z+aiqUzdbxqzR2F63epkcrCQYHcjvdZKJta959oYSV4oq4WlviXXHsrigDtC2sj3TrxMX2DW2/GkYw8mrJYjWWUN55bhe8HHkL5sHaLvk/ZyskFVUhfirJSisqIWzjbRZOUA7CSMxuxS93OVwsLLAy5uSAWiHGUjEQtTUq+FoJYFAwJ90YmkhwgAfh2b5IdtLrUqNhIY0RZ8eutTquEWnVlarcZfLeN32SuXtrWrTHkzrryMhxGAFOkHd0lEB+L89tzLdZxVV4VpJtcE5v9rbxzEXEdfKclyVdepmWd63JN3KiN+YD80UvfKQP/46m8v7RzbE34kLuMQiIf56ORwqDcO0jae48VUzwrxbvJ4+DlYSbJoRCmHDJID2oBs8Bt7GbNh7oZ+nPf47JhDv7Exr8fhzG28tb/Zcf090cbn9GdPP9OuEn07m8JIvA7dawJ5oIVdha2YP9sO62CycuFLCpRcB+L+vNlIRIlpYmUPXmJ5u3Iegf/2ahPlD/ZulZXm0uyuCPOwwvrc7tp3JRWOvaMKVEt79eqSrS4tBXaPPn+6DsV9rJ8gs3ZWOryb2bbHcV0czsTe9AD0Utpgx0Id37NNDLU8GajT3IX+jterF6zyHxpRJTc0e7NcuH5LuFwrsCLmHfkzIxoWCCjhYWWDOQ/68AeJl1fX4JjYLyhoVrpVWQyIW4oPHA1v9RKyPbkqCh3Sy9TdKzCkxycBOwxgX1AUobNHd1QaFlbXcWMHWeDtYIsjDDr09TLuLeenoAOxMzUNZTT0cLCWYFOzJOy4UCCARCTB/mD92nsuHpUSERwPa/sfeFnE7t3y4yWUI93VE3JVivDGiW7u+NqCdNDOmpxt2nru1ulBjfXSN6XlnY61H9VDgpybDAxo93tPNoDF2jYZ3c0FGQTmUNSpe6+aQzk6YFuqF9PxyvUEdoP090bVGZ2YrAAz2d8TEYG3rZOOM3C3J17El+Tq8m/wNmBTcdiumpYUIjwUqsCstHxcKKvD4uuMY5O+E10d05bVW7k3XBprp+eXcrHBAO27vZgV/8oWztQQ+jlbIU9bgelkN/ki5jrKaekwf4H1Pky63JDazCCsPXECQhxwvhvuiWM+ar+F+jrw8hx0RBXaEtEA3C7yhbpTVYKPOskd9Pe15fyBiLhTwZqQBwEcxF3kLnwO3Zn/qa4FpHBMSoLCFoGEA/zs7bn0yL2yY2aYvlUV7000T8N5jPbguD7WG4Ylv4lpcKQAA5gzxR2grMxxNySA/Jwzyax5oNzWkszOGGCm58t16//HWV5m438QiIV59pAtKq+sQm1mMPp3ssHhkNzzRkIYCAOYP66x35mpr3OQyTO7viV8bxkL2dJfjXK4SLw3ybRak6+NoLcHbkdoW5sV/ncPJ7BJMC/WCUCDA9DAfPWffIhIKMCPMGxvimy+r9u9hnXmtiE2XUMsuubUM2pO93Q1qxZzzkD8OXriJGpUGNSoNDl64iWBPe4wK1I7vYw2TDJrO05oa6oWpIV544psTvNyKTwS547kQLxy8cBPL92UgT1mLn07m4NGGHIsM2pmc9+JDCmMM9br5BnelAwBOXCmBQCBAF+dbY+fG9nJDRHdXLGhIHTRrkC8m3uYzNkUC1lGmsdxHSqUSdnZ2KCsro1UoCL49fgV70vLw+dN90Mne8Bavj2IucJ9iG+19ZTBEQgESrhbjP39rgy4nKwkvxcGWFwZwg5iLKuu41BXrJvVrdZwHYwyPfqkdeB/ibY8VT/QCY4zLk9Xoka4uiM0swmB/J4OXNrrfGidMWAgF2P3KYN6xrKJKXLxZAWdrKfKUNejiYoOSqjowBoT5Otz3T/ek4yirrsfJ7BIEe9rD0VqCiC+OAdDOWvz2uWCDx8K1pLpOjeNZRXC1lcLH0QpnbygR6uNwV9esrFPh7A0lQrzs7yiAqVWpeTkEXwz3gZutDEM6O/HGq6nUGsRdKcZ7u7VdvTKxEHOH+sNaIsZAP0eD38PFggrM2ZzM2/fWo90gl4m5v2VN/f1yOCwtRMgsrERBRS2kYiFKq+oR7ucImYUIag1DXFYRVh++jNLqegzxd0JsZhEagxA3Wyl+arJKyu2oU2sw57dkbjm5trjYSPDdc8GwtBDhZHYJKuvUGOTnCKn49lL4mGL8QC12hDS4eLMCV4qquMzzW5KvI6rJslFNnb1RBksLEbq42PDGvDU6dPEmPOQy3oD6mQN9uNlwAJB0rYxr2Uu6VsotTp5RUN5iy49aw3D44k1uO9jTHoB2AH+YryPee6wH9yn1UEO5QxdvYmqoV5tja1pyo6wGuWXVCPay54KqPGUNzt5Qwslagn6edrcdbDUm2vVuoS5+Tta8dUMJaY2dpQWvG/PJ3u6IuXATnzwZdFcBGKCd+DBC59qNa4PeDWuJGAN9He/4fKlYhI/H99IuSzfUH5E6K2boEouEeKizM14a5IufT+Vg1ZNBdzTWsKurDQIUNrylzVYeuNCsla5R1MOduaEn/s7W8Hdu/nssEgowpLMzfjyZg9Lq+mYrrOSV1yKnpApeDrf3d6pRbGaRQUGdhVCAVx/pws02HuBz58/FFFFgRwi0n/7/vSWF14Sv7w/E1eIqvNqQCPXPfw3kUo+EejvgZMMMzhVNJgG8PNgXowIVeDTAFW9sO4szN5SIv1LMBXbJ126lamhtXchNp69hfcN6jhKRsFnXwWB/JyyK6IqVOklsAWDWpiTseDn8tmajvfrHGRRV1WH52EDuj9+b21O54Gz1hN63NeYIANLytOt/jujg41iIaZk7tDPmPOTfbpNIjKGvpz22zRpo0HucFOyJZ/p1uqv74edkzQvsmgZ1Ed1d8Npwbeqh2/m70nQ1EN1u3X//fga/vxh228NH1BqGD/ZqZ/76OlpBKAA3Aebvl8MhFgq47mELoRAScYdL42swCuxIh1Sn0mDJzjSk5irxVB8PvDDQBwlXS3Do4k1MC/VutQu1rLoe6+OvYlQPBSQiIX5JzMFgPydcLqxEvYZxqQ4AbWqBXGUNfkzI5vJ19XCzxXMhXjh7owxv/XWOu+6T/7s1vufZ/p64UFCOMp0cX9YSEcJ8HfFogPZTtkgo4CZN6P7d1U28+tvpa9zs0EF+jnC1lWLOEH8uqGvLQ52dkXytDDcrarmlmdQahvS8cvTuZNes/Mb4q1DWqDB7iB82JV7DhYIKMDCuy/iP5BsY4OMIDWO8DPxrjlyGt4MVZg70gYeBiTvzlNqWTUPLE2Iocw7qGt3Oe7zb+zE1xAu1Kg2GdXFG9L4MXpoeH0crTOjb6Y7SlkwJ8eL+LgHAT8+HcjOay2tVyMgvR6CeD4z70vPxa+I15JRWo5+nHe+9zhzogy7O1vghIRsT+nbiWhKNlWKlvVFgRzoctYZhd3o+N8vs18RrGNrZmTe27K1HWx5P9tXRTMRcuIkdqXkY6OuAE1dKcPhiITeTzNPeEqN6KPDlUe2ss4Vbz/BmeMVdKcYj3Vyw6uClVgf5d7KT4Y9/DeSNubORivGfkfw69e1kh4MXbkJZo0KdSoMaFb+FTjfdQmNuqrAmXQYjurfc6mVpIcKiCO2MxYnfx6O4oXv3WGYRAtxsAZ1P3vnlNVySYC8HS94EkEal1fWoU2lQVa/mfWq/XFiJy4WVcLGRYNZgPwDa56PWMFiIBM26aXUXP286048QYloUchn3d+vTCb0x57dkAICDlQX+N7nfHY957etpz81knhLiBVdbKQ7MG8KNkzxyqRCB7nKoNQwCwa0AtfFvCwTAyhj+cBZdjV3nb0S0/6xtU0CTJ2Cagx9Jy87eKMPiv8+hpr715W56usvxWSvLKTX+4WjNmqf74HpZdbMu1BBve1woqIBST6b9aaFe3Gw3ZU09nvpfPABtXqSnmyRL/edSIS/3XIDClstN9WZEN5zPL8f2s7mtvtaTvd3x/AAfvcl6r5VWY85vybxkpvo4Wllg5kAfJF0rw8ELN1sss/jRbjhxpZhb53T3nEE4e0OJJTvTUKvSwMfRCmsn9eXGO525XoaFf95aw/PAvCEG14cQYnyJ2SUoqKhFoJv8tsfrNlXVMJkk2Muea0lr/DA8OlCBGWE+mLQ+AYA275+rrRSLtqWiyoC/Y+35t8UU44cHo12SdHh1ag1iM4uw/sTVNoM6QLtygW7LUKMz18taKM3XzdWmWdJVC5EAT/XxaHU1gKGdnWAhEsDJSsJLuimXWSCiuwtcbaV4rGfzgc4BClvYSm8FZY1BnautFI8GuGJy/7an3T/dt5NBKzB42lvio/G99JbT9UhXF4wOdMOrj3SBm7zlPHsjurvyFg7fmnIDW1Oucy2ZV4urkFOibXXUMIa1x27l3opopaWREGK6+ns7YHSg210HdYB2mbQwX0de92i3hkkeWUWV3CQ2APi/Pefx08lsg4K6x3vRWvHUYgfTjLgJ32+nr3HrLgLAs8GemBrqBZFQAJWGcZnSGz3U2QnLRvfgtjMLKzFrUxKvzLRQLzwX4oXRa48D0C7u3bhwukqtgaphcWixSMi1OlXXqcEa+jEtREJoGINULEKdWgORQNDigF/twtItd1mo1BqU16rwzPcJ3D5fRyv87zntcmB1Kg0eW6et33fPBWPJzjTcaJi4sH3WQN7ajvpsPn0N3+jcw63/CoNKzTCx4VNxN1cbfDy+FwQCAS+xslrDUKtS45vjV7i1Jh/v5cbNGJ7xUyKuld7KlaVr/rDOGBfkzkv38lyIF14YaHgOL0LIg+HQxZvcBIjWDPJz5Iam9Peyx/uPB0IkEKBWpYZEJGz3hN2mGD/QGDvSIXzfZMJAmK8DZNyAWOD9MT1wIOMmEnNKUFGrxo2yGuxOy0NsZhHEQiE3rV4uE0NZo0K4nyNGB7rBQiTE/43pgX3pBbwWMrFIiJbSGemu/6irrfQKbQ1gFouEzRbi1m31k4iFmPuQPyrrVPBxtMKsQb7YlZaPPp3sbiuoA4DHerrhSnEVkq+XYWK/TpDLtOMKZw/2Q9K1UjzdrxM3/V+XSCiAlUSMf4X74kTDH9QpIV7c8VmDfbEjNY9LrGwrtcCJK8Worlejuk6NNUcucwvVA8AT9ImaENKCMB8HRAa44sSVYt7ks0ZDu2jTuHjaWyKnpBqT+3tyf3tb+tv1oKIWO5hmxG3K1Bpt1vH2SBZbp9ZAAGDMuuPcoH2ZWIitLw1sMZhKzyvH/N9T4GorbTGv3Jie2u5FU7N8XwYOXrgJmViI7bPCTWqliDvx+ZHL+OtsbrM8WNMHeGPagDtbF5UQ8mBYc+Rys/HFPd1s8dnTfYxUo9aZYvxAIS65LaXV9Xj51yQo5FKsntD7vqYXWLE/Awcy+AP35z7kjz6d7FptIbORalvUWgrqnunbCVNCvZrtNwXzhvoj1NsBXV2sO3xQBwA2DS2bjUFdZ2drPNvfE+F3kaCVEPJgmDnQB4FuthAKBAj1cUB6XjkC3WkWvaEosCO35Xx+OYqq6lBUVQdljYpLE3IvMcaQmFPaLKgL9rLndVO2xE0ug4+jVbPkwp3sZJgx0Pu2l4tpL3KZxV0tBG9q+nra4/fkG6hTayAUAI8FKvBIK5NPCCFEl41UzFv5oyOsEW1KKLAjt6VKZzWEitr7E9ilXOcn/wWA14Z3wahWltDRZSES4tvJ/VDbMHNWZiFETb0GUgvhA5G81FQEe2kz5KvVDEIhTDagJoQQc0OBHTHIlqRr2JqSi5sVt7o4P465iJ7ucvwr3Ic33i4mo4CX+6xOrYG1RIz6huVc7K0sMGeIP2ykYuxIzUVcVjHir5bAyUqCEG/+AtkioQAR3VwwtIuzwWP6hAIBb5JDaxMeyP0lEQkBuvWEENKuKLAzYxrGIIB2Db67GbdVXqPC17FXmu1PzVUiNVeJYV2c4e2gXcJLLBTg08OX9OaaC3STY3hXF3zxTyZUDbMiiqrqsPd8AWQNa/gN8nPE/40JvON6E0IIIQ8amhUL05zVcrfq1Rq8sjkZWUVVkImFWDq6BwbcwTgFlVqDp76L53XBPt7LDX6OVvgt6XqLkxQazR/WGX8kX+fyro3t5YarxVU4c0Np0GvPCPPG1FCaQUkIIcQ0mWL8QC12HYBKrcGe9HyoGWApFqKbqw18nazbPCcuqxhZDWuN1qg0+M/f5xA9tieCvewNar1rnMBwubCSF9T5OVlh3kP+EIuEKK6qx8+nclo8v5e7HE/0ckN5TT02xGfDVirGs/09cT6/Aml55VwrHaDNNp5fXtMsb1GINw2YJYQQQm6HSbfYRUdHY+vWrTh//jwsLS0xaNAgfPjhh+je/dZi6jU1NXjttdewadMm1NbWIjIyEl999RUUCv0D7RuZYsSt6/sTV/GLTgBlJRHh9xfDWk35odYwRH4V2+Kxtx7thoju+mdfNl3X09VWivVTgmEh4k9CqKlXo/EnaNH2VKQ3LIu1f+5gbkxcTb0aFiIhF1DWqTTahZwbyCyE0DDg18QcbIjP5t7jX7PC9daTEEIIMRZTjB9MusXuyJEjmDt3LkJDQ6FSqfCf//wHI0eORFpaGqyttS1Wr776Knbu3IktW7bAzs4O8+bNw1NPPYXY2JYDm46kpl6NL49mYndaPm9/VZ0a5TUqOFlrVyzYEH8VP53MwfopwfCws8Tyfa0vybJi/wWEeDu0OJuVMYZvj1/BleIqJFwtAaBdDL6riw0e6+nW4sxGmc7SU/OG+mPT6WuIDFDwJjrolgG0qyk0JRIAj3Z3xdXiKlTWqfFwV+dW3wMhhBBCWmbSLXZN3bx5E66urjhy5AiGDh2KsrIyuLi44JdffsHTTz8NADh//jx69OiBuLg4DBw40KDrmlLErWGMW0T9eGYRovdf4B23lYpRXqvCd88FcwsxR3xxjDu+clwvLNqeCgDwsrfEd1OCMfH7BJRW13NlZg/2wxidZZ1EAgE0jCGrqArzf0/hvd6kYE+8NMj3nr5HQgghxByYUvzQyKRb7JoqK9OuN+noqM1en5iYiPr6ekRERHBlAgIC4O3t3WZgV1tbi9raW4P+lUrDBvPfb3VqDeb8ltwsuW6jif064ejlIpTXqrDzXB5eecifW5+zUWNQBwDLn+gJoUCAVU8F4cz1Mqw+fBkAsC42C+tiswyq09QQ01ypgRBCCCHNtb5yuYnRaDSIiorC4MGD0atXLwBAXl4eJBIJ7O3teWUVCgXy8vJavVZ0dDTs7Oy4Ly8v4wcvlwsr8HvS9VaDOrlMjHFB7rAQabs4z+UqsTc9H7vONX+fAgCzBvnCXS4DAHg7WOHxXu5YPjaQO78tY3q6wd7SAhP6eFAOOEIIIaQD6TAtdnPnzkVqaiqOHTumv7AeixcvxsKFC7ltpVJp1OCuul6NBb+fQU1DF6yvoxXWPKNd7FgkFEDUMF5NJBTgxXBfLNuVjoyCCnwUc5G7hlgowJ8vaVsoRQJBi+PYBvg44q9Z4bwZqedyldwqD989Fww3uRRSsQgLHu5MKzUQQgghHUyHCOzmzZuHHTt24J9//oGnpye3383NDXV1dSgtLeW12uXn58PNza2FK2lJpVJIpdL7WeXbknpDiRqVBhZCAfp72+Pxnu6wtGi5pSzU2wGPBSpQWFnH2z/E36nVc3RZiITQLdbP0x7jgtwhl4m5MXsAKKgjhBBCOiCTDuwYY5g/fz7+/PNPHD58GH5+frzj/fv3h4WFBWJiYjBhwgQAQEZGBrKzsxEe3nFSZSRf144dtBAJ8d/He7ZZViIWYuHwrvfstUVCAeYP63zPrkcIIYQQ4zHpwG7u3Ln45ZdfsH37dtja2nLj5uzs7GBpaQk7Ozu8+OKLWLhwIRwdHSGXyzF//nyEh4cbPCPWFPx2+hoAYHh3FyPXhBBCCCEdmUkHdmvXrgUAPPzww7z969evx4wZMwAAn376KYRCISZMmMBLUGzqDmQUIKuoEp72lty+If5ORqwRIYQQQjq6DpXH7n5p7zw0NytqMXnDSd4+sVCA3XMG8RL7EkIIIcR0UR67B1itSo0v/slEYUUd8struP29PeSwtBBhSGcnCuoIIYQQclcosGsniTmlzZYGA4DlY3s2W3KLEEIIIeROUGDXTsoalvTq7GyNCX08cK20GsFe9hTUEUIIIeSeocDuPikor8XpnFIwaIcwns4pBaBNPjyyh8KINSOEEEKIuaLA7j75797zSMsrb7ZfLqNbTgghhJD7g6KMe6y6Xo0vjlzmgrp+nnaQNizvJbMQ4Ykgd2NWjxBCCCFmjAK7e+zo5ULsPV8AAJCJhfi/xwJhKaFxdIQQQgi5/5qvFE/uWGxmEVYeuMhtf/50HwrqCCGEENJuqMXuLqg1DPFXi1FWXQ+1hmHNP5ncsbce7QZ/Z2sj1o4QQgghDxoK7O5CXFYR3t19vtn++cM6I6K7qxFqRAghhJAHGXXF3oVcZU2zfZEBrhje1cUItSGEEELIg45a7O5QvVqDkqp63r5OdjK8EdHNSDUihBBCyIOOArs7kF1ShXlbUlBVpwYAPBHkjiB3OQLdbY1cM0IIIYQ8yCiwM1BGfjmKq+oQ5uuIc7lKLqiTWQgxtLMT+nraG7eChBBCCHngUWBngIpaFeZuSQEALB8biMpabVD3SFdnvPVod4iEAmNWjxBCCCEEAAV2Bll3LIv7/qOYi9zYOrnMgoI6QgghhJgMCuzaUKfSQCAA9qTnc/t0J0y428mMUS1CCCGEkBZRYNeKVQcvYk96PuQyixaPi4UCWveVEEIIISaF8ti1YldaPjQMKK3WttA5WFlAt9P10QBXSER0+wghhBBiOigyacGFgopm+94e2Z3XQjemp1t7VokQQgghRC/qim2iqLIOr2xO5rbD/RzhLpchyMMOztZSKGtUcLaRoJurjfEqSQghhBDSAgrsdFTUqnD46q2JEuOC3DF/WGdu29PBEm9HdjdG1QghhBBC9KLATsdzG05CbGkNAHCzleLFcB8j14gQQgghxHBmM8buyy+/hK+vL2QyGcLCwpCQkHDH15JZCLFweFdYSSjuJYQQQkjHYRaRy2+//YaFCxdi3bp1CAsLw+rVqxEZGYmMjAy4urre1rW2zxoImVhEiYcJIYQQ0uGYRYvdqlWr8NJLL2HmzJkIDAzEunXrYGVlhe+//77F8rW1tVAqlbwvQJvCxFoipqCOEEIIIR1Shw/s6urqkJiYiIiICG6fUChEREQE4uLiWjwnOjoadnZ23JeXlxcAYEYYjakjhBBCSMfV4QO7wsJCqNVqKBQK3n6FQoG8vLwWz1m8eDHKysq4r5ycHACArcwseqYJIYQQ8oB6ICMZqVQKqVRq7GoQQgghhNxTHb7FztnZGSKRCPn5+bz9+fn5cHOj1SEIIYQQ8uDo8IGdRCJB//79ERMTw+3TaDSIiYlBeHi4EWtGCCGEENK+zKIrduHChZg+fTpCQkIwYMAArF69GpWVlZg5c6axq0YIIYQQ0m7MIrCbNGkSbt68iaVLlyIvLw99+/bFnj17mk2oIIQQQggxZwLGGDN2JYytrKwM9vb2yMnJgVwuN3Z1CCGEENIBKJVKeHl5obS0FHZ2dsauDgAzabG7W0VFRQDA5bMjhBBCCDFUUVERBXamxNHREQCQnZ1tMg+G8DV+KqJWVdNGz8n00TPqGOg5dQxlZWXw9vbm4ghTQIEdtCtVAICdnR39Apk4uVxOz6gDoOdk+ugZdQz0nDqGxjjCFJhOTQghhBBCyF2hwI4QQgghxExQYAftEmPLli2jZcZMGD2jjoGek+mjZ9Qx0HPqGEzxOVG6E0IIIYQQM0EtdoQQQgghZoICO0IIIYQQM0GBHSGEEEKImaDAjhBCCCHETDzwgd2XX34JX19fyGQyhIWFISEhwdhVMgvR0dEIDQ2Fra0tXF1dMX78eGRkZPDK1NTUYO7cuXBycoKNjQ0mTJiA/Px8Xpns7GyMGTMGVlZWcHV1xRtvvAGVSsUrc/jwYQQHB0MqlaJLly7YsGFDs/rQczbMihUrIBAIEBUVxe2j52Qarl+/jqlTp8LJyQmWlpYICgrCqVOnuOOMMSxduhTu7u6wtLREREQELl68yLtGcXExpkyZArlcDnt7e7z44ouoqKjglTlz5gweeughyGQyeHl5YeXKlc3qsmXLFgQEBEAmkyEoKAi7du26P2+6A1Gr1ViyZAn8/PxgaWmJzp074/3334fu/ER6Ru3vn3/+wdixY+Hh4QGBQIBt27bxjpvSMzGkLgZhD7BNmzYxiUTCvv/+e3bu3Dn20ksvMXt7e5afn2/sqnV4kZGRbP369Sw1NZUlJyezxx57jHl7e7OKigquzOzZs5mXlxeLiYlhp06dYgMHDmSDBg3ijqtUKtarVy8WERHBkpKS2K5du5izszNbvHgxVyYzM5NZWVmxhQsXsrS0NLZmzRomEonYnj17uDL0nA2TkJDAfH19We/evdmCBQu4/fScjK+4uJj5+PiwGTNmsPj4eJaZmcn27t3LLl26xJVZsWIFs7OzY9u2bWMpKSnsiSeeYH5+fqy6uporM2rUKNanTx924sQJdvToUdalSxc2efJk7nhZWRlTKBRsypQpLDU1lf3666/M0tKSff3111yZ2NhYJhKJ2MqVK1laWhp75513mIWFBTt79mz73AwT9cEHHzAnJye2Y8cOlpWVxbZs2cJsbGzYZ599xpWhZ9T+du3axd5++222detWBoD9+eefvOOm9EwMqYshHujAbsCAAWzu3LnctlqtZh4eHiw6OtqItTJPBQUFDAA7cuQIY4yx0tJSZmFhwbZs2cKVSU9PZwBYXFwcY0z7CykUClleXh5XZu3atUwul7Pa2lrGGGOLFi1iPXv25L3WpEmTWGRkJLdNz1m/8vJy1rVrV7Z//342bNgwLrCj52Qa3nzzTTZkyJBWj2s0Gubm5sY++ugjbl9paSmTSqXs119/ZYwxlpaWxgCwkydPcmV2797NBAIBu379OmOMsa+++oo5ODhwz63xtbt3785tT5w4kY0ZM4b3+mFhYezll1++uzfZwY0ZM4a98MILvH1PPfUUmzJlCmOMnpEpaBrYmdIzMaQuhnpgu2Lr6uqQmJiIiIgIbp9QKERERATi4uKMWDPzVFZWBgDcQsmJiYmor6/n3f+AgAB4e3tz9z8uLg5BQUFQKBRcmcjISCiVSpw7d44ro3uNxjKN16DnbJi5c+dizJgxze4lPSfT8NdffyEkJATPPPMMXF1d0a9fP3z77bfc8aysLOTl5fHun52dHcLCwnjPyd7eHiEhIVyZiIgICIVCxMfHc2WGDh0KiUTClYmMjERGRgZKSkq4Mm09ywfVoEGDEBMTgwsXLgAAUlJScOzYMYwePRoAPSNTZErPxJC6GOqBDewKCwuhVqt5/4wAQKFQIC8vz0i1Mk8ajQZRUVEYPHgwevXqBQDIy8uDRCKBvb09r6zu/c/Ly2vx+TQea6uMUqlEdXU1PWcDbNq0CadPn0Z0dHSzY/ScTENmZibWrl2Lrl27Yu/evZgzZw7+/e9/Y+PGjQBu3ee27l9eXh5cXV15x8ViMRwdHe/Js3zQn9Nbb72FZ599FgEBAbCwsEC/fv0QFRWFKVOmAKBnZIpM6ZkYUhdDiW+rNCF3YO7cuUhNTcWxY8eMXRXSRE5ODhYsWID9+/dDJpMZuzqkFRqNBiEhIVi+fDkAoF+/fkhNTcW6deswffp0I9eOAMDmzZvx888/45dffkHPnj2RnJyMqKgoeHh40DMi7eqBbbFzdnaGSCRqNrsvPz8fbm5uRqqV+Zk3bx527NiBQ4cOwdPTk9vv5uaGuro6lJaW8srr3n83N7cWn0/jsbbKyOVyWFpa0nPWIzExEQUFBQgODoZYLIZYLMaRI0fw+eefQywWQ6FQ0HMyAe7u7ggMDOTt69GjB7KzswHcus9t3T83NzcUFBTwjqtUKhQXF9+TZ/mgP6c33niDa7ULCgrCtGnT8Oqrr3It4fSMTI8pPRND6mKoBzawk0gk6N+/P2JiYrh9Go0GMTExCA8PN2LNzANjDPPmzcOff/6JgwcPws/Pj3e8f//+sLCw4N3/jIwMZGdnc/c/PDwcZ8+e5f1S7d+/H3K5nPsnFx4ezrtGY5nGa9BzbtuIESNw9uxZJCcnc18hISGYMmUK9z09J+MbPHhws3RBFy5cgI+PDwDAz88Pbm5uvPunVCoRHx/Pe06lpaVITEzkyhw8eBAajQZhYWFcmX/++Qf19fVcmf3796N79+5wcHDgyrT1LB9UVVVVEAr5/1JFIhE0Gg0AekamyJSeiSF1MdhtTbUwM5s2bWJSqZRt2LCBpaWlsVmzZjF7e3ve7D5yZ+bMmcPs7OzY4cOHWW5uLvdVVVXFlZk9ezbz9vZmBw8eZKdOnWLh4eEsPDycO96YRmPkyJEsOTmZ7dmzh7m4uLSYRuONN95g6enp7Msvv2wxjQY9Z8PpzopljJ6TKUhISGBisZh98MEH7OLFi+znn39mVlZW7KeffuLKrFixgtnb27Pt27ezM2fOsHHjxrWYtqFfv34sPj6eHTt2jHXt2pWXtqG0tJQpFAo2bdo0lpqayjZt2sSsrKyapW0Qi8Xs448/Zunp6WzZsmUPbCoNXdOnT2edOnXi0p1s3bqVOTs7s0WLFnFl6Bm1v/LycpaUlMSSkpIYALZq1SqWlJTErl69yhgzrWdiSF0M8UAHdowxtmbNGubt7c0kEgkbMGAAO3HihLGrZBYAtPi1fv16rkx1dTV75ZVXmIODA7OysmJPPvkky83N5V3nypUrbPTo0czS0pI5Ozuz1157jdXX1/PKHDp0iPXt25dJJBLm7+/Pe41G9JwN1zSwo+dkGv7++2/Wq1cvJpVKWUBAAPvmm294xzUaDVuyZAlTKBRMKpWyESNGsIyMDF6ZoqIiNnnyZGZjY8PkcjmbOXMmKy8v55VJSUlhQ4YMYVKplHXq1ImtWLGiWV02b97MunXrxiQSCevZsyfbuXPnvX/DHYxSqWQLFixg3t7eTCaTMX9/f/b222/zUmDQM2p/hw4davF/0fTp0xljpvVMDKmLIQSM6aTFJoQQQgghHdYDO8aOEEIIIcTcUGBHCCGEEGImKLAjhBBCCDETFNgRQgghhJgJCuwIIYQQQswEBXaEEEIIIWaCAjtCCCGEEDNBgR0hhBBCiJmgwI4QYpYefvhhREVFGeW1fX19sXr1am5bIBBg27ZtRqkLIeTBQoEdIaRNM2bMwPjx45vtP3z4MAQCAUpLS9u9TobYunUr3n//fWNXAwCQm5uL0aNHG1SWgkBCyN0QG7sChBByPzg6Ohq7Chw3NzdjV4EQ8oCgFjtCyD1RVFSEyZMno1OnTrCyskJQUBB+/fVXXpmHH34Y8+fPR1RUFBwcHKBQKPDtt9+isrISM2fOhK2tLbp06YLdu3dz5zS2DO7duxf9+vWDpaUlhg8fjoKCAuzevRs9evSAXC7Hc889h6qqKt5r6XbF+vr6Yvny5XjhhRdga2sLb29vfPPNN7z6HT9+HH379oVMJkNISAi2bdsGgUCA5OTkVt93QUEBxo4dC0tLS/j5+eHnn39uVka3Fa6urg7z5s2Du7s7ZDIZfHx8EB0dzdURAJ588kkIBAJu+/Llyxg3bhwUCgVsbGwQGhqKAwcO8F7DkPd37do1TJ48GY6OjrC2tkZISAji4+O549u3b0dwcDBkMhn8/f3x3nvvQaVStfreCSGmhwI7Qsg9UVNTg/79+2Pnzp1ITU3FrFmzMG3aNCQkJPDKbdy4Ec7OzkhISMD8+fMxZ84cPPPMMxg0aBBOnz6NkSNHYtq0abwgDQDeffddfPHFFzh+/DhycnIwceJErF69Gr/88gt27tyJffv2Yc2aNW3W8ZNPPkFISAiSkpLwyiuvYM6cOcjIyAAAKJVKjB07FkFBQTh9+jTef/99vPnmm3rf94wZM5CTk4NDhw7h999/x1dffYWCgoJWy3/++ef466+/sHnzZmRkZODnn3/mAriTJ08CANavX4/c3Fxuu6KiAo899hhiYmKQlJSEUaNGYezYscjOzjb4/VVUVGDYsGG4fv06/vrrL6SkpGDRokXQaDQAgKNHj+L555/HggULkJaWhq+//hobNmzABx98oPceEEJMCCOEkDZMnz6diUQiZm1tzfuSyWQMACspKWn13DFjxrDXXnuN2x42bBgbMmQIt61SqZi1tTWbNm0aty83N5cBYHFxcYwxxg4dOsQAsAMHDnBloqOjGQB2+fJlbt/LL7/MIiMjea+1YMECbtvHx4dNnTqV29ZoNMzV1ZWtXbuWMcbY2rVrmZOTE6uurubKfPvttwwAS0pKavH9ZWRkMAAsISGB25eens4AsE8//ZTbB4D9+eefjDHG5s+fz4YPH840Gk2L19Qt25aePXuyNWvWGPz+vv76a2Zra8uKiopavN6IESPY8uXLeft+/PFH5u7urrcuhBDTQWPsCCF6PfLII1i7di1vX3x8PKZOncptq9VqLF++HJs3b8b169dRV1eH2tpaWFlZ8c7r3bs3971IJIKTkxOCgoK4fQqFAgCatXrpnqdQKGBlZQV/f3/evqatg03pXkMgEMDNzY17nYyMDPTu3RsymYwrM2DAgDavl56eDrFYjP79+3P7AgICYG9v3+o5M2bMwKOPPoru3btj1KhRePzxxzFy5Mg2X6eiogLvvvsudu7cidzcXKhUKlRXVzdrsWvr/SUnJ6Nfv36tjj1MSUlBbGwsr4VOrVajpqYGVVVVzZ4jIcQ0UWBHCNHL2toaXbp04e27du0ab/ujjz7CZ599htWrVyMoKAjW1taIiopCXV0dr5yFhQVvWyAQ8PYJBAIA4LoIWzqv6TmN+5qe09SdnHOvBQcHIysrC7t378aBAwcwceJERERE4Pfff2/1nNdffx379+/Hxx9/jC5dusDS0hJPP/20Qfe28f1ZWlq2Wa+Kigq89957eOqpp5od0w12CSGmjQI7Qsg9ERsbi3HjxnGteBqNBhcuXEBgYKCRa2aY7t2746effkJtbS2kUimAW2PeWhMQEACVSoXExESEhoYC0Lb86UsBI5fLMWnSJEyaNAlPP/00Ro0aheLiYjg6OsLCwgJqtZpXPjY2FjNmzMCTTz4JQBuEXbly5bbeX+/evfG///2Pe52mgoODkZGR0SyAJ4R0LDR5ghByT3Tt2hX79+/H8ePHkZ6ejpdffhn5+fnGrpbBnnvuOWg0GsyaNQvp6enYu3cvPv74YwC3WhGbauxOffnllxEfH4/ExET861//arN1bNWqVfj1119x/vx5XLhwAVu2bIGbmxvXfevr64uYmBjk5eWhpKQEgPbebt26FcnJyUhJSeHqejsmT54MNzc3jB8/HrGxscjMzMQff/yBuLg4AMDSpUvxww8/4L333sO5c+eQnp6OTZs24Z133rmt1yGEGBcFdoSQe+Kdd95BcHAwIiMj8fDDD3NBREchl8vx999/Izk5GX379sXbb7+NpUuXAmi7K3L9+vXw8PDAsGHD8NRTT2HWrFlwdXVttbytrS1WrlyJkJAQhIaG4sqVK9i1axeEQu2f408++QT79++Hl5cX+vXrB0AbDDo4OGDQoEEYO3YsIiMjERwcfFvvTyKRYN++fXB1dcVjjz2GoKAgrFixAiKRCAAQGRmJHTt2YN++fQgNDcXAgQPx6aefwsfH57ZehxBiXALGGDN2JQghxBT9/PPPmDlzJsrKyvSOUSOEEFNAY+wIIaTBDz/8AH9/f3Tq1AkpKSl48803MXHiRArqCCEdBgV2hBDSIC8vD0uXLkVeXh7c3d3xzDPPUIJeQkiHQl2xhBBCCCFmgiZPEEIIIYSYCQrsCCGEEELMBAV2hBBCCCFmggI7QgghhBAzQYEdIYQQQoiZoMCOEEIIIcRMUGBHCCGEEGImKLAjhBBCCDET/w+4yj26tTFAwgAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.figure()\n",
     "plt.title(\"Simple contagion\")\n",
@@ -148,20 +100,19 @@
     "        color=plt.cm.RdBu((2 * i / len(samples1))),\n",
     "    )\n",
     "    print(f\"plot {i} finished\")\n",
-    "plt.title(\"Simple contagion\")\n",
     "plt.xlabel(\"Iteration number\")\n",
     "plt.ylabel(\"Hamming distance\")\n",
     "\n",
     "plt.subplot(212)\n",
-    "burn_in = 200000\n",
+    "burn_in = 100000\n",
     "burn_in_idx = int(burn_in / skip)\n",
     "h = []\n",
     "idx = []\n",
     "for j in range(burn_in_idx, len(samples1)):\n",
-    "    h.append(hamming_distance(samples1[id], samples1[j]))\n",
+    "    h.append(hamming_distance(samples1[burn_in_idx], samples1[j]))\n",
     "    idx.append((j - burn_in_idx) * skip)\n",
-    "plt.plot(idx, h, color=plt.cm.RdBu((2 * id / len(samples1))))\n",
-    "plt.xlim([0, 100000])\n",
+    "plt.plot(idx, h, color=plt.cm.RdBu((2 * burn_in_idx / len(samples1))))\n",
+    "plt.xlim([0, 50000])\n",
     "plt.xlabel(\"decorrelation steps\")\n",
     "plt.xlabel(\"Hamming distance\")\n",
     "plt.tight_layout()\n",
@@ -171,81 +122,61 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Acceptance ratio is 0.7116205810290515\n"
-     ]
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "plt.imshow(samples1.mean(axis=0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# threshold contagion\n",
-    "\n",
     "tau = 2\n",
     "cc = lambda nu, tau, beta: beta * (nu >= tau)\n",
+    "b = 0.2\n",
     "c = cc(np.arange(n), tau, b)\n",
     "\n",
-    "x = contagion_process(A, gamma, c, x0, tmin=0, tmax=tmax, random_seed=None)\n",
-    "\n",
+    "x2 = contagion_process(A, gamma, c, x0, tmin=0, tmax=tmax, random_seed=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.spy(x2.T)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "p_c = np.ones((2, n))\n",
     "p_rho = np.array([2, 5])\n",
+    "A0 = erdos_renyi(n, 0)\n",
     "\n",
-    "rho0 = beta(p_rho[0], p_rho[1]).rvs()\n",
-    "\n",
-    "A0 = nx.adjacency_matrix(nx.fast_gnp_random_graph(n, rho0))\n",
     "samples2, l = infer_adjacency_matrix(\n",
-    "    x, A0, p_rho, p_c, nsamples=nsamples, burn_in=0, skip=skip, return_likelihood=True\n",
+    "    x2, A0, p_rho, p_c, nsamples=nsamples, burn_in=0, skip=skip, return_likelihood=True\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "plot 0 finished\n",
-      "plot 1000 finished\n",
-      "plot 2000 finished\n",
-      "plot 3000 finished\n",
-      "plot 4000 finished\n",
-      "plot 5000 finished\n",
-      "plot 6000 finished\n",
-      "plot 7000 finished\n",
-      "plot 8000 finished\n",
-      "plot 9000 finished\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Hamming distance')"
-      ]
-     },
-     "execution_count": 48,
-     "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.figure()\n",
+    "plt.title(\"Threshold contagion\")\n",
+    "plt.subplot(211)\n",
     "for i in range(0, int(len(samples2) / 2), 1000):\n",
     "    h = []\n",
     "    idx = []\n",
@@ -263,6 +194,20 @@
     "plt.title(\"Threshold contagion\")\n",
     "plt.xlabel(\"Iteration number\")\n",
     "plt.ylabel(\"Hamming distance\")\n",
+    "\n",
+    "plt.subplot(212)\n",
+    "burn_in = 100000\n",
+    "burn_in_idx = int(burn_in / skip)\n",
+    "h = []\n",
+    "idx = []\n",
+    "for j in range(burn_in_idx, len(samples2)):\n",
+    "    h.append(hamming_distance(samples2[burn_in_idx], samples2[j]))\n",
+    "    idx.append((j - burn_in_idx) * skip)\n",
+    "plt.plot(idx, h, color=plt.cm.RdBu((2 * burn_in_idx / len(samples2))))\n",
+    "plt.xlim([0, 50000])\n",
+    "plt.xlabel(\"decorrelation steps\")\n",
+    "plt.xlabel(\"Hamming distance\")\n",
+    "plt.tight_layout()\n",
     "# plt.savefig(\"Figures/threshold_contagion_distances.png\", dpi=1000)\n",
     "# plt.savefig(\"Figures/threshold_contagion_distances.pdf\", dpi=1000)"
    ]
@@ -272,7 +217,9 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "plt.imshow(samples2.mean(axis=0))"
+   ]
   }
  ],
  "metadata": {
diff --git a/erdos-renyi.py b/erdos-renyi.py
index 42f3ce1..a140564 100644
--- a/erdos-renyi.py
+++ b/erdos-renyi.py
@@ -25,18 +25,18 @@
 n_p = 33
 n_b = 33
 
-n = 100
+n = 50
 p_list = np.linspace(0.0, 1.0, n_p)
 beta_list = np.linspace(0.0, 1.0, n_b)
 rho0 = 1.0
 gamma = 0.1
 
-tmax = 1000
+tmax = 2000
 
 # MCMC parameters
 burn_in = 100000
 nsamples = 100
-skip = 1500
+skip = 10000
 p_c = np.ones((2, n))
 p_rho = np.array([1, 1])
 
diff --git a/lcs/generative.py b/lcs/generative.py
index dafdaf2..b9dde88 100644
--- a/lcs/generative.py
+++ b/lcs/generative.py
@@ -85,81 +85,46 @@ def sbm(n, k, epsilon, seed=None):
     return nx.adjacency_matrix(G).todense()
 
 
-def generate_bipartite_edge_list(n_groups, n_inds, p_dist, g_dist, seed=None):
+def clustered_network(k1, k2, seed=None):
     """
-    generate_bipartite_edge_list(): generates a hypergraph in the style of Newman's model in "Community Structure in social and biological networks"
-
     inputs:
-        n_groups: the number of groups or cliques to create
-        n_inds: the number of individuals to create(may be less than this total)
-        p_dist: The distribution of clique sizes, must be from numpy.random
-        g_dist: The distribution of number of cliques belonged to per individual
+        k1: the number of cliques to which each node belongs
+        k2: the clique sizes
         seed: seed for pseudorandom number generator
     output:
-        edge_list: the edge list for a bi-partite graph. The first n-indices represent the clique edges and the rest represent individuals
+        A : an adjacency matrix with multiedges and loops removed.
     """
-
-    # generate rng with seed
     if seed is not None:
-        rng = np.random.default_rng(seed)
-    else:
-        rng = np.random.default_rng()
+        random.seed(seed)
 
-    chairs = []
-    butts = []
+    n1 = len(k1)
+    n2 = len(k2)
 
-    # generate chairs
+    k1 = np.array(k1, dtype=int)
+    k2 = np.array(k2, dtype=int)
 
-    for i in range(1, n_inds + 1):
-        g_m = g_dist.rvs() + 1  # select the number of butts in clique i
-        butts.extend([i] * g_m)  # add g_m butts to individuals
+    if k1.sum() > k2.sum():
+        missing = k1.sum() - k2.sum()
+        k2[random.sample(range(n2), missing)] += 1
+    elif k2.sum() > k1.sum():
+        missing = k2.sum() - k1.sum()
+        k1[random.sample(range(n1), missing)] += 1
 
-    for i in range(1, n_groups + 1):
-        p_n = p_dist.rvs()  # select the number of chairs in clique i
-        p_n = int(
-            p_n if i < n_groups else len(butts) - len(chairs)
-        )  # pull a random length or select a length to make the two lists equal if we are bout to go over
-        print(p_n)
-        chairs.extend([i] * p_n)  # add p_n chairs belonging to clique i
-    chairs = [chair + n_inds for chair in chairs]
+    stublist1 = list(chaini([i] * d for i, d in enumerate(k1)))
+    stublist2 = list(chaini([i] * d for i, d in enumerate(k2)))
 
     # shuffle the lists
-    rng.shuffle(chairs)
-    rng.shuffle(butts)
-
-    # generate edge_list
-    edge_list = list(zip(chairs, butts))
-    edge_list = [(int(edge[0]), int(edge[1])) for edge in edge_list]
-
-    # create vertex meta_data, if the index is a clique, give it a 0, if the vertex is in individual give it a 1
-    vertex_attributes = {i: 1 if i <= max(butts) else 2 for i in set(chairs + butts)}
-
-    return edge_list, vertex_attributes
+    random.shuffle(stublist1)
+    random.shuffle(stublist2)
 
-
-def bipartite_graph(edge_list):
-    B = nx.Graph()
-    a = np.vstack(edge_list)
-    node_list1, node_list2 = np.unique(a[:, 1]), np.unique(a[:, 0])
-    B.add_nodes_from(node_list1, bipartite=0)
-    B.add_nodes_from(node_list2, bipartite=1)
-    B.add_edges_from(edge_list)
-    return B
-
-
-def clustered_unipartite(n_groups, n_ind, my_p_dist, my_g_dist, **kwargs):
-    edge_list, vertex_attributes = generate_bipartite_edge_list(
-        n_groups, n_ind, my_p_dist, my_g_dist
-    )
-    projected_nodes = [
-        k for k, v in vertex_attributes.items() if v == 1
-    ]  # identify ndes to project graph onto
-    B = bipartite_graph(edge_list)
-    U = nx.projected_graph(B, projected_nodes)  # create unipartite projection
-    return nx.adjacency_matrix(U).todense()
+    I = np.zeros((n1, n2))
+    I[stublist1, stublist2] = 1
+    A = I @ I.T > 0
+    np.fill_diagonal(A, 0)
+    return A
 
 
-def truncated_power_law_configuration(n, kmin, kmax, p, seed=None):
+def truncated_power_law_configuration(n, kmin, kmax, alpha, seed=None):
     """
     Generates a bipartite graph with a truncated power-law degree distribution.
 
@@ -167,7 +132,7 @@ def truncated_power_law_configuration(n, kmin, kmax, p, seed=None):
     - n (int): Number of nodes in the graph.
     - kmin (int): Minimum degree value.
     - kmax (int): Maximum degree value.
-    - p (float): Power-law exponent.
+    - alpha (float): Power-law exponent.
     - seed (int, optional): Seed for the random number generator.
 
     Returns:
@@ -178,16 +143,16 @@ def truncated_power_law_configuration(n, kmin, kmax, p, seed=None):
     if seed is not None:
         random.seed(seed)
 
-    degree_sequence = power_law(n, kmin, kmax, p)
-    if np.sum(degree_sequence) % 2 == 1:
+    k = power_law(n, kmin, kmax, alpha, seed=seed)
+    if np.sum(k) % 2 == 1:
         fixed = False
         while not fixed:
             i = random.randrange(n)
-            if degree_sequence[i] < kmax:
-                degree_sequence[i] += 1
+            if k[i] < kmax:
+                k[i] += 1
                 fixed = True
 
-    stublist = list(chaini([i] * d for i, d in enumerate(degree_sequence)))
+    stublist = list(chaini([i] * d for i, d in enumerate(k)))
 
     # algo copied from networkx
     half = len(stublist) // 2
diff --git a/lcs/inference.py b/lcs/inference.py
index a6ab95e..54a75df 100644
--- a/lcs/inference.py
+++ b/lcs/inference.py
@@ -537,7 +537,7 @@ def infer_dyamics_loop(x, A, p_gamma, p_c):
 
         # infection events
         for i, nu in enumerate(nus):
-            nu = int(round(nu))
+            nu = round(nu)
             a[nu] += x[t + 1, i] * (1 - x[t, i])
             b[nu] += (1 - x[t + 1, i]) * (1 - x[t, i])
 
diff --git a/lcs/utilities.py b/lcs/utilities.py
index 15c31d6..6cd58b5 100644
--- a/lcs/utilities.py
+++ b/lcs/utilities.py
@@ -2,6 +2,8 @@
 import random
 
 import numpy as np
+from scipy.sparse import csr_array
+from scipy.sparse.csgraph import reverse_cuthill_mckee
 from scipy.stats import rv_discrete
 
 from .contagion import *
@@ -14,7 +16,7 @@ def single_inference(
 ):
     n = np.size(A, axis=0)
     x0 = np.zeros(n)
-    x0[random.sample(range(n), int(round(rho0 * n)))] = 1
+    x0[random.sample(range(n), round(rho0 * n))] = 1
 
     x = contagion_process(A, gamma, c, x0, tmin=0, tmax=tmax)
     p = beta(p_rho[0], p_rho[1]).rvs()
@@ -44,6 +46,14 @@ def to_imshow_orientation(A):
     return np.flipud(A.T)
 
 
+def prettify_matrix(A):
+    idx = reverse_cuthill_mckee(csr_array(A), symmetric_mode=True)
+    Ap = A.copy()
+    Ap = Ap[idx]
+    Ap = Ap[:, idx]
+    return Ap
+
+
 def posterior_similarity(samples, A):
     meanA = samples.mean(axis=0)
     num = np.sum(np.abs(A - meanA))
@@ -104,7 +114,7 @@ def nu_distribution(x, A):
     k = A.sum(axis=0)
     nu = A @ x.T
     T, n = x.shape
-    kmax = int(round(np.max(k)))
+    kmax = round(k.max())
     mat = np.zeros((kmax + 1, kmax + 1))
     for t in range(T):
         for i in range(n):
@@ -118,7 +128,9 @@ def degrees(A):
     return A.sum(axis=0)
 
 
-def power_law(n, minval, maxval, alpha):
+def power_law(n, minval, maxval, alpha, seed=None):
+    if seed is not None:
+        np.random.seed(seed)
     u = np.random.random(n)
     a = minval ** (1 - alpha)
     b = maxval ** (1 - alpha)
@@ -217,7 +229,7 @@ def fit_ipn(b0, ipn_target, cf, gamma, A, rho0, tmax, mode):
 def target_ipn(A, gamma, c, mode, rho0, tmax, realizations):
     n = A.shape[0]
     x0 = np.zeros(n)
-    x0[random.sample(range(n), int(round(rho0 * n)))] = 1
+    x0[random.sample(range(n), round(rho0 * n))] = 1
     ipn = 0
     for _ in range(realizations):
         x = contagion_process(A, gamma, c, x0, tmax=tmax)
diff --git a/plot_fig1.ipynb b/plot_fig1.ipynb
index 4236d01..7d61c77 100644
--- a/plot_fig1.ipynb
+++ b/plot_fig1.ipynb
@@ -6,22 +6,18 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from lcs import *\n",
-    "import xgi\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import fig_settings as fs\n",
-    "import matplotlib.cm as cm\n",
-    "import seaborn as sns\n",
-    "\n",
     "import json\n",
-    "import numpy as np\n",
+    "\n",
+    "import arviz as az\n",
+    "import cmasher as cmr\n",
+    "import matplotlib.cm as cm\n",
     "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
     "import seaborn as sns\n",
-    "from lcs import *\n",
-    "import arviz as az\n",
+    "import xgi\n",
     "\n",
-    "import cmasher as cmr"
+    "import fig_settings as fs\n",
+    "from lcs import *"
    ]
   },
   {
@@ -56,7 +52,7 @@
     "\n",
     "x = contagion_process(A, gamma, c, x0, tmin=0, tmax=100, random_seed=2)\n",
     "\n",
-    "infected_color = \"orange\"\n",
+    "infected_color = \"darkred\"\n",
     "susceptible_color = \"white\"\n",
     "subgraph_color = \"black\"\n",
     "graph_color = (0.1, 0.1, 0.1, 0.1)\n",
@@ -74,17 +70,22 @@
     "\n",
     "dyad_color = [subgraph_color if e in sg else graph_color for e in H.edges]\n",
     "\n",
+    "plt.figure(figsize=(4, 3))\n",
+    "\n",
     "\n",
     "xgi.draw(\n",
     "    H,\n",
     "    pos=pos,\n",
-    "    node_size=10,\n",
+    "    node_size=7.5,\n",
     "    node_fc=node_fc,\n",
     "    dyad_color=dyad_color,\n",
     "    node_ec=node_ec,\n",
-    "    node_lw=0.5,\n",
+    "    node_lw=1,\n",
     ")\n",
+    "\n",
+    "plt.tight_layout()\n",
     "plt.savefig(\"Figures/Fig1/zkc_network.svg\", dpi=1000)\n",
+    "plt.savefig(\"Figures/Fig1/zkc_network.png\", dpi=1000)\n",
     "plt.show()"
    ]
   },
@@ -94,22 +95,26 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Plot matrices\n",
+    "plt.figure(figsize=(7, 3))\n",
     "plt.imshow(x.T, cmap=cm.Greys, vmin=0, vmax=1, interpolation=\"none\")\n",
     "plt.yticks([0, 10, 20, 30])\n",
+    "\n",
+    "plt.tight_layout()\n",
     "plt.savefig(\"Figures/Fig1/x.svg\", dpi=1000)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "plt.savefig(\"Figures/Fig1/x.png\", dpi=1000)\n",
+    "plt.show()\n",
+    "\n",
+    "plt.figure(figsize=(3, 3))\n",
     "plt.imshow(A, vmin=0, vmax=1, cmap=cm.Greys, interpolation=\"none\")\n",
     "plt.xticks([0, 10, 20, 30])\n",
     "plt.yticks([0, 10, 20, 30])\n",
+    "ax = plt.gca()\n",
+    "ax.xaxis.tick_top()\n",
+    "\n",
+    "plt.tight_layout()\n",
     "plt.savefig(\"Figures/Fig1/a.svg\", dpi=1000)\n",
+    "plt.savefig(\"Figures/Fig1/a.png\", dpi=1000)\n",
     "plt.show()"
    ]
   },
@@ -145,7 +150,7 @@
     "\n",
     "nus = np.arange(0, n, 1)\n",
     "\n",
-    "plt.figure()\n",
+    "plt.figure(figsize=(4, 3))\n",
     "\n",
     "# simple contagion\n",
     "c1_mean = c1_samples.mean(axis=0)\n",
@@ -191,7 +196,6 @@
     "\n",
     "plt.savefig(\"Figures/Fig1/zkc_infer_contagion_function.svg\", dpi=1000)\n",
     "plt.savefig(\"Figures/Fig1/zkc_infer_contagion_function.png\", dpi=1000)\n",
-    "plt.savefig(\"Figures/Fig1/zkc_infer_contagion_function.pdf\", dpi=1000)\n",
     "plt.show()"
    ]
   },
@@ -211,8 +215,24 @@
     "ps = np.array(data[\"ps\"], dtype=float)\n",
     "fce = np.array(data[\"fce\"], dtype=float)\n",
     "\n",
+    "fig = plt.figure(figsize=(4, 3))\n",
+    "\n",
     "plt.semilogx(tmax, sps[0].mean(axis=1), color=colors[0], label=\"Simple contagion\")\n",
     "plt.semilogx(tmax, sps[1].mean(axis=1), color=colors[1], label=\"Complex contagion\")\n",
+    "plt.fill_between(\n",
+    "    tmax,\n",
+    "    sps[0].mean(axis=1) - sps[0].std(axis=1),\n",
+    "    sps[0].mean(axis=1) + sps[0].std(axis=1),\n",
+    "    alpha=0.3,\n",
+    "    color=colors[0],\n",
+    ")\n",
+    "plt.fill_between(\n",
+    "    tmax,\n",
+    "    sps[1].mean(axis=1) - sps[1].std(axis=1),\n",
+    "    sps[1].mean(axis=1) + sps[1].std(axis=1),\n",
+    "    alpha=0.3,\n",
+    "    color=colors[1],\n",
+    ")\n",
     "plt.ylabel(\"F-Score\")\n",
     "plt.xlabel(r\"$t_{max}$\")\n",
     "\n",
@@ -221,7 +241,6 @@
     "\n",
     "plt.savefig(\"Figures/Fig1/zkc_infer_vs_tmax.svg\", dpi=1000)\n",
     "plt.savefig(\"Figures/Fig1/zkc_infer_vs_tmax.png\", dpi=1000)\n",
-    "plt.savefig(\"Figures/Fig1/zkc_infer_vs_tmax.pdf\", dpi=1000)\n",
     "plt.show()"
    ]
   },
@@ -239,10 +258,11 @@
     "sps = np.array(data[\"sps\"], dtype=float)\n",
     "fce = np.array(data[\"fce\"], dtype=float)\n",
     "\n",
-    "cmap = cmr.sunburst\n",
-    "cmap = cmr.ember\n",
+    "cmap = cmr.gem\n",
     "\n",
-    "sps_summary = sps.mean(axis=2).T\n",
+    "sps_summary = sps.mean(axis=2)\n",
+    "\n",
+    "fig = plt.figure(figsize=(4, 3))\n",
     "\n",
     "c = plt.imshow(\n",
     "    to_imshow_orientation(sps_summary),\n",
@@ -254,11 +274,16 @@
     ")\n",
     "plt.xlabel(r\"$f$\")\n",
     "plt.ylabel(r\"$\\beta$\")\n",
-    "plt.colorbar(c)\n",
+    "\n",
+    "plt.xticks([0, 0.5, 1], [0, 0.5, 1])\n",
+    "plt.yticks([0, 0.25, 0.5, 0.75, 1], [0, 0.25, 0.5, 0.75, 1])\n",
+    "\n",
+    "cbar = plt.colorbar(c)\n",
+    "cbar.set_label(r\"F-Score\", fontsize=12, rotation=270, labelpad=15)\n",
+    "plt.tight_layout()\n",
     "\n",
     "plt.savefig(\"Figures/Fig1/zkc_frac_vs_beta.svg\", dpi=1000)\n",
     "plt.savefig(\"Figures/Fig1/zkc_frac_vs_beta.png\", dpi=1000)\n",
-    "plt.savefig(\"Figures/Fig1/zkc_frac_vs_beta.pdf\", dpi=1000)\n",
     "plt.show()"
    ]
   },
diff --git a/plot_fig2.ipynb b/plot_fig2.ipynb
index 8a1f61c..1a9980d 100644
--- a/plot_fig2.ipynb
+++ b/plot_fig2.ipynb
@@ -2,50 +2,81 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "from lcs import *\n",
     "import json\n",
-    "import seaborn as sns\n",
-    "import fig_settings as fs"
+    "\n",
+    "import cmasher as cmr\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import xgi\n",
+    "\n",
+    "import fig_settings as fs\n",
+    "from lcs import *"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "fs.set_fonts({\"font.family\": \"sans-serif\"})\n",
-    "models = [\"Erdos-Renyi\", \"SBM\", \"Watts-Strogatz\", \"CM\"]\n",
+    "cmap = cmr.gem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "models = [\"Erdos-Renyi\", \"SBM\", \"Watts-Strogatz\", \"CM\", \"clustered_network\"]\n",
     "cfs = [\n",
-    "    \"Simple contagion\",\n",
-    "    r\"Threshold contagion, $\\tau=2$\",\n",
-    "    r\"Threshold contagion, $\\tau=3$\",\n",
+    "    \"SIS\",\n",
+    "    r\"Threshold, $\\tau=2$\",\n",
+    "    r\"Threshold, $\\tau=3$\",\n",
+    "]\n",
+    "keys = [\"p\", \"epsilon\", \"p\", \"alpha\", \"size\"]\n",
+    "titles = [\"Erdös-Rényi\", \"SBM\", \"Small-World\", \"Power-law CM\", \"Clustered\"]\n",
+    "labels = [r\"$p$\", r\"$\\epsilon$\", r\"$p$\", r\"$\\alpha$\", r\"$s$\"]\n",
+    "xticks = [\n",
+    "    [0, 0.5, 1],\n",
+    "    [0, 0.5, 1],\n",
+    "    [-6, -4, -2, 0],\n",
+    "    [1.5, 2, 2.5, 3, 3.5, 4],\n",
+    "    [1, 7, 13, 19],\n",
     "]\n",
-    "keys = [\"p\", \"epsilon\", \"p\", \"p\"]\n",
-    "labels = [r\"$p$\", r\"$\\epsilon$\", r\"$p$\", r\"$p$\"]\n",
-    "xticks = [[0, 0.5, 1], [0, 0.5, 1], [-6, -4, -2, 0], [1.5, 2, 2.5, 3, 3.5, 4]]\n",
     "xticklabels = [\n",
     "    [\"0\", \"0.5\", \"1\"],\n",
     "    [\"0\", \"0.5\", \"1\"],\n",
     "    [r\"$10^{-6}$\", r\"$10^{-4}$\", r\"$10^{-2}$\", r\"$10^{0}$\"],\n",
     "    [\"1.5\", \"2\", \"2.5\", \"3\", \"3.5\", \"4\"],\n",
+    "    [\"1\", \"7\", \"13\", \"19\"],\n",
     "]\n",
-    "convert_to_log = [False, False, True, False]"
+    "convert_to_log = [False, False, True, False, False]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x800 with 16 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "fig, axes = plt.subplots(len(cfs), len(models), figsize=(12, 8))\n",
+    "fig, axes = plt.subplots(len(cfs), len(models), figsize=(14, 8))\n",
     "for i, m in enumerate(models):\n",
     "    with open(f\"Data/{m.lower()}.json\") as file:\n",
     "        data = json.load(file)\n",
@@ -57,8 +88,6 @@
     "        var = np.log10(var)\n",
     "\n",
     "    for j, cf in enumerate(cfs):\n",
-    "        sps_summary = sps[j].max(axis=2).T\n",
-    "        # sps_summary = np.median(sps[j].T, axis=2)\n",
     "        sps_summary = sps[j].mean(axis=2).T\n",
     "        im = axes[j, i].imshow(\n",
     "            to_imshow_orientation(sps_summary),\n",
@@ -66,25 +95,144 @@
     "            vmin=0,\n",
     "            vmax=1,\n",
     "            aspect=\"auto\",\n",
+    "            cmap=cmap,\n",
     "        )\n",
     "        axes[j, i].set_xlim([min(var), max(var)])\n",
     "        axes[j, i].set_ylim([min(b), max(b)])\n",
     "        axes[j, i].set_xticks(xticks[i], xticklabels[i])\n",
-    "        axes[j, i].set_yticks([0, 0.25, 0.5, 0.75, 1], [0, 0.25, 0.5, 0.75, 1])\n",
+    "        axes[j, i].set_yticks([0, 0.5, 1], [0, 0.5, 1])\n",
     "\n",
     "        if j == 0:\n",
-    "            axes[j, i].set_title(models[i])\n",
+    "            axes[j, i].set_title(titles[i])\n",
     "        if i == 0:\n",
-    "            axes[j, i].set_ylabel(cfs[j])\n",
+    "            axes[j, i].set_ylabel(f\"{cfs[j]}\\n\" + r\"$\\beta$\")\n",
     "        if j == len(cfs) - 1:\n",
-    "            axes[j, i].set_xlabel(labels[i])\n",
+    "            axes[j, i].set_xlabel(labels[i], fontsize=16)\n",
+    "fig.subplots_adjust(bottom=0.15, top=0.95, left=0.1, right=0.8, wspace=0.3, hspace=0.3)\n",
+    "cbar_ax = fig.add_axes([0.82, 0.15, 0.02, 0.8])\n",
+    "cbar = fig.colorbar(im, cax=cbar_ax)\n",
+    "cbar.set_label(r\"F-Score\", fontsize=16, rotation=270, labelpad=25)\n",
+    "# plt.tight_layout()\n",
+    "\n",
+    "plt.savefig(\"Figures/Fig2/generative_models_sps.png\", dpi=1000)\n",
+    "plt.savefig(\"Figures/Fig2/generative_models_sps.pdf\", dpi=1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def visualize_networks(i, ax):\n",
+    "    n = 50\n",
+    "    match i:\n",
+    "        case 0:\n",
+    "            A = erdos_renyi(n, 0.1, seed=0)\n",
+    "            e = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "        case 1:\n",
+    "            A = sbm(n, 10, 0.9, seed=0)\n",
+    "            e = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "        case 2:\n",
+    "            A = watts_strogatz(n, 6, 0.03, seed=0)\n",
+    "            e = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "        case 3:\n",
+    "            A = truncated_power_law_configuration(n, 2, 20, 3, seed=0)\n",
+    "            e = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "        case 4:\n",
+    "            k = 2  # each node belongs to two cliques\n",
+    "            clique_size = 4\n",
+    "            k1 = k * np.ones(n)\n",
+    "            num_cliques = round(sum(k1) / clique_size)\n",
+    "            k2 = clique_size * np.ones(num_cliques)\n",
+    "            A = clustered_network(k1, k2, seed=0)\n",
+    "            e = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "\n",
+    "    H = xgi.Hypergraph(e)\n",
+    "\n",
+    "    node_size = 2\n",
+    "    dyad_lw = 0.5\n",
+    "    node_lw = 0.5\n",
+    "\n",
+    "    match i:\n",
+    "        case 0:\n",
+    "            pos = xgi.pairwise_spring_layout(H, seed=2)\n",
+    "        case 1:\n",
+    "            pos = xgi.pca_transform(xgi.pairwise_spring_layout(H, seed=2))\n",
+    "        case 2:\n",
+    "            pos = xgi.circular_layout(H)\n",
+    "        case 3:\n",
+    "            # sorted_nodes = [n for n, _ in sorted(H.nodes.degree.asdict().items(), key=lambda d: d[1])]\n",
+    "            # Hnew = xgi.Hypergraph()\n",
+    "            # Hnew.add_nodes_from(sorted_nodes)\n",
+    "            # Hnew.add_edges_from(e)\n",
+    "            # pos = xgi.circular_layout(Hnew)\n",
+    "            pos = xgi.pairwise_spring_layout(H, seed=2)\n",
+    "        case 4:\n",
+    "            pos = xgi.pairwise_spring_layout(H, seed=2)\n",
+    "    xgi.draw(H, ax=ax, pos=pos, node_size=node_size, node_lw=node_lw, dyad_lw=dyad_lw)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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mtW/fXpk3cOBAERsbK4R4+/tcq1YtAYgJEyYoy7948UIcO3ZMJCUlpdvHX3/9JbJnzy4AcfToUWW6h4dHhm2k3Sft7Ow++Xhv374tAJEtW7Z09wp7e3thaGgokpOThb+/vwCEh4eHMj8mJkZoamoKbW1t5Z64ZMkSAYiCBQuKu3fvKsvGx8cr5a1Ro4Yy3dfXV/mOunTpIt68eZOubGnzrayslGmfc/+Wsu5j55KdnZ0ARO/evYUQ/6sjde7cWcTHxyvLBQYGZqgjBQYGCkDkyZMn3TbnzZsnAKGpqSlKly6dbt6wYcMEIBYuXCiEEOLRo0fC0NBQ5MqVK8P/9YkTJ4S2trYwMjJSfvPTjkelUokRI0aImJiYLH0fmdXFsnLNHjp0SACiWrVq6ZYdMGCAUKlUQl1dXbi4uKSb16pVKwGIvXv3frR8FhYWAhCrV6/O0nGl1c/S7qHW1tZCTU1N/P3330IIIRo1aiS0tbWV37bM7sfS93Hv3j3l+3/48OEnrZNZ/eZjdZ5/3lueP38u1NXVhZqamrh8+XK6ZW/duiWaNWumXPMfemb52tfsnDlzBCBcXFxEaGioMj0xMVH06dMnwz2rUaNGAhBNmzYV0dHRyvT4+HjRuXPn95Zbkn4WMrj1L5P2I/exj7+/vxDifzfgR48eZdhW3759P/gjlvZgnPbje/r0aQGInDlzKg8o79q+fbsARLFixYQQQmzevFkAonLlyl983P+8UaSkpIjnz5+LAwcOiKJFiwpADB06NN063t7eAhCtWrXKdJuLFi0SgOjVq5cQIv2NLiUlJcPydevWFYD4448/hBBCJCUlCTMzMwGIs2fPplu2dOnSAhAXL15UpsnglvSulJQU0bt37wzXbq5cuUTLli3F4cOHRWpqqrL8x675zM6rd4NbQggxevRoAYipU6cqDxnjx48XQny8oif9t2Tl/Hz33Hn3nBVCiC1btghA1KxZM8M+pk2bplSyP0WLFi0EIGbPnq1M+1rBLSGEyJMnjwDElStXhBBvf+MNDAyEg4OD8p3kyJFDFCpUSFnn2LFjAhB16tRRpllZWQlA7NmzJ8M+4uLihImJiQDE+fPnhRD/C169u913ZRbcyur9W/o87zuXYmNjxZAhQwQgdHV1xb1795Q6Up48edIFttL8s44kxP+CMWkvJIUQwtbWVuTNm1c5t9MCLEL8rx5x+/ZtIcTboBCQIcCZpl27dgIQ27ZtS3c89erV+6zv40MP7Zn55zUbExMjtLS0hJaWVroXpJaWlqJatWqibt26QkdHR0RFRSnzChQoINTV1UVERMRH96ejoyMAceDAgSwd1z+DWytXrhSA6NGjh7hz545QqVSic+fOyvIyuPXjXLhwQfn+3z2HPuRrBLfS9mtqavrR/X3oOvma12xSUpIwNTUV2bJlyzRQHR8fLzQ0NJSXNn5+fgIQOXLkEJGRkVkqtyT9LORoif9SdnZ2HD169JOXV1PL2EP18OHDAEpXu49J6ytev379TJt7Ozk5oa6uTmBgIM+fP6dkyZLA25wgs2bNomPHjuTMmTPDerdu3WLUqFEZppuammYYYXDlypWsXLky3TRjY2Nmz56dIcnnwYMHAYiMjGTcuHEZtn/v3j0AgoKCMszL7PsyMTEB/tcNQUNDg06dOjFlyhRWrVpF9erVAbh8+TI3b96kQoUK7x25UZLU1NRYsGABXbp0YcOGDRw+fJhbt27x6tUrtm7dytatW2nRogXr169HS0tLWc/BwUHpApOYmMjjx4+5ffs27du3x8fHhzVr1ijz/6lXr15Mnz6d+fPnU7JkSfT09OjZs+d3OV7p15KV8/Nd/+zeamRkBJBpl6e0ef8csQwgMDCQo0ePcufOHV6/fk14eDh+fn4ASu7DrBg1alSm+UT69u2rdHeqV68eGzdu5NSpU9jY2ODn50d0dDS1a9cG3n4ntWrVYs+ePTx9+hQLC4sM+baePn3K/fv30dTUxMHBIcP+dHR0sLe3Z8OGDZw8eZKqVasq8zK777xPVu/f0pe5ceMGTZo0ISUlhbCwMG7cuEFUVBTZsmVj48aNWFlZsWnTJgDs7e3R1tbOsI1/1pHMzMyoV68e69at4+zZsxQqVIiwsDBOnTpF9+7dcXBwYM2aNezatYshQ4aQkpLClStXMDMzU+pXafWcP//8k23btmXYZ0BAAJCxnpPZuRYaGvredBGfMiL2p1yzenp6VKlShdOnT3PlyhVq1qzJrVu3CAoKwtPTE21tbU6cOMGBAwdo0aIFz58/59GjR1SpUoVs2bJ9tAxpvrSbfdu2bRkxYgRr1qzh9evXAAwaNOiLtil9fd8znULhwoXR0tIiNDSUYcOG0a9fP6X7flZ8zWvWz8+P0NBQcuTIgbu7e6b7U1dXJzIyktevXyv3jYYNG2YYVVuSfhUyuCW91+PHj4H/JWP/mODgYADy58+f6XwdHR1MTEx4/vw5wcHB2NjY0LdvX+bPn8/gwYMZMmQIhQsXplq1arRo0UIZNvvVq1eZjnL4z/xZadPKlSsHvM17Eh4eTtOmTTMdvSYtp8mBAweU/vmZiY2N/eBxp0nLs/Bu/pmuXbsydepUtm7dyrx589DX12fVqlUA9OjR45O2K/23lStXjnLlyjFjxgzCw8M5deoUixcv5tChQ2zbto1q1aqlO79XrFiBhYVFum0EBATg4uLC1q1bKVKkSIYEqGly585Nu3btWLlyJSEhIfTs2TPTgLMkpfmU8/NDCX0ze8j/5zzxTg6tFy9e0KlTp3S/2SYmJp/1EPGuM2fOZMiVBdCkSRPl77a2tmzcuJGTJ08yYMCAdPm20tStW5c9e/Zw6tQp3N3dMwS30u6TZmZm6YLS78qXLx/wNhD2ubJ6/5a+zMuXL/H29kalUpEtWzYsLS1xcHCgb9++5M2bF8h6HcnMzAw7OzsluNWuXTv2799PcnIybm5u1KhRAwMDAyW4dfPmTWJiYmjcuLGyzbR6zrFjxz5Y/k+p58TGxn7WiNNZvWbt7Ow4ffo0Z8+epWbNmso+3dzc0NLSol+/fuzatYsWLVpkKd8WvB3kIjg4+Itzzmlra9O7d29Gjx7Ntm3baNSokRJQlH6sd+ssL168eO/19i32O2XKFAYPHsz06dOZPn06+fPnp0qVKri5udGyZctPylv3Na/ZtG2FhYV99NqNjY2V9w3pX0EmlJfeKzk5GSDLyXk/9Kbkn/PmzZvHiRMn6Nq1K9bW1ty/f5+1a9fi4uJCx44dgbcPC+JtF9p0n8wS7tavX5/du3eze/dutmzZgrq6OitWrGDBggUZlk0LQi1fvjzT7ad93h29JKssLS2xs7MjKiqKbdu2ER8fz+bNm8mWLdt736JI0vtkz56dxo0bc+DAAWX0wn8mFM5MyZIlldaPGzZs+OCyaYEyNTU1OaS5lCWfe35mRYsWLThw4ADW1tbs3r2byMhIQkNDuXbtGg0bNvzs7Z44cSLT3/+0+xD87wH69OnTCCE4deoUOjo66VrgvptUPikpiYsXL6Krq5uuBRZk7T75OT73/i19Hjs7O4QQpKamEh4ezrVr15g2bZoS2HpXVv7v0865s2fPAm9bSOXMmZM6deqgo6ODo6MjFy5c4NmzZ0qg592BC9LqOX///fcH6zmZtV7/p4IFC753/Q/J6jWb2TGXKVMGKysr8uXLR8WKFdm3bx+JiYmZHvOHlClTBoDz589/0vIf4unpqfRSkK22fh6FChVSWh19jf/nrBg4cCBXrlyhT58+VKhQgWfPnrFt2zbc3d1xcHAgJSXlo9v4mtds2rZq1KjxwW2J/x/FUd43pH8DGdyS3iutm93z588/afm0SlxmQSeA+Ph4QkND0y0Lbx8Gli9fzs2bN3n9+jXz5s1DTU2NNWvWZBjmOivs7e2V0WwGDBigDDefJu2tYWBg4Gfv41OkNeNftWoVO3bsIDw8nPbt26Ovr/9N9yv9e6lUKiV48PLly09aJ+2a+9j1bG1tzaRJk5g6dSqFCxf+soJK/0mfc35+iqCgIE6fPo2WlhbHjx/H1dX1u3adKFSoEIUKFeLNmzdcv36dM2fOULly5XStz8qVK4eRkRGnTp3iypUrxMbGUr16daWVVtp1+OzZMxITEzPdT9rb88wCI58qq/dv6dv7nDpSvnz5KFy4MLdv3yY0NJSDBw/i4uKChsbbjhdNmzZFCMHu3bszbcX0veo57/M512zVqlXR09Pj3LlzPH36lKtXr9K0aVNlftOmTYmMjOTYsWNcuHABLS0tatas+UnlSesKvGXLFqKjoz//wHjbUmfOnDkMGzbsk1uOSd+euro6dnZ2wNuW7J8rrZtfSkpKloI9FSpUYP78+Vy9epWwsDDWrVuHnp4ex44dyzDSZ2a+5jWbtq27d+9+0jHI+4b0byCDW9J7VapUCfh409g0aW/Ojhw5kmnOk3379pGSkkLRokUxMzMjPj4+wzLZs2enb9++2NjYAHD//v3PLT7wNqjl4eFBSkoKrVq14q+//lLmpVVGNm7c+MEcLZ/ypuVDmjRpgqmpKadPn2bSpEmA7JIofdiLFy8y5Cr6p7SccNbW1p+0zZs3bwJgZWX10WVHjBjBkCFDPmm70n/Ptzg/P0Xag7+xsTGmpqZfbbtZkXbfWLhwIWFhYUq+rTRpebfu3LmjDJv+bqsSCwsLChcuTFJSEvv27cuw/bi4OOVFTForsM+R1fu39O2lnQeHDh3KtP6zd+/edHWkNHZ2dqSmpjJx4kSio6PTBXqcnJzQ1tZm165dXLhwgfz586f7jU87X/+Zn/SfvrSe8z6fc81qampSq1YtXr9+zfTp0xFCZAhuAWzbto0rV65QtWrVTPO8ZqZTp04YGRkRFhb20dZWN27cUALN79O9e3emTp36SfuWvp/+/fsDcPToUSXX3fu8L+CUlvMRICQkJMP8f14zmV3T+vr6tGvXDicnJ+B/zzSampqZbgO+7jVbuXJlDAwMePny5Qfz4qVtK+2+4evrK1tvSb8sGdyS3qtDhw4ALFmyJF3iwvDwcHr06JHhpl+jRg2qVKlCWFgYXbt2JS4uTpl39+5dBg4cCPyv+fayZcvo2LEjd+7cSbedoKAg5QbwNXIYLF26lCpVqhAREYGLi4uS/LNly5ZYWloSEhKCm5sbz549S7decHAwQ4YMYdGiRV+0f01NTTw8PAD466+/qFmzJqVKlfqibUr/bnFxcbRv3x5XV1cuXryYbp4Qgu3bt7N48WLgbRL4j9mxYwdeXl7A264UkvQlvvb5+amKFSuGpqYmz58/x9fXV5menJzMlClTPvoQ8zWkPXisXbsWSJ9vK03dunWBt/dOyNhlKu0e2K9fv3Rv5+Pj4/ntt9949eoV1apVo1q1ap9dzqzev6VvL62O9OLFC7p3757uYfjOnTtKN/B/Bl3SzrmlS5diYGBAgwYNlHmGhobY2dnh6+vL3bt3M5xrAwcOREtLiz179jB06NB09TJ4m3Dazc0Nf3//r3qsaT73mn33mAsXLkzp0qWVeUWLFqVkyZJs2LCBmJiYT+6SCJAtWzb++OMP4G0dtEuXLkqdME1wcDAjR46kcuXKygBB0q+lTp06Sq8JDw8P5s6dS1JSUrplrl27RuvWrZXfyn8yMjKiePHiwP9+7+Ht/W/o0KFs3Lgx3fJprSovX76cbvqrV6+U6yvtZU/BggWBt7ke321BmJKS8lWvWR0dHSXQ161bNyVhfJqEhAQ2bNig5MVs2LAhpqamPHjwQLmHp1m/fn2GaZL0U/pawy5KP4e0IWFNTEyEq6vrez8jR44UQnx8uGJXV1cBCB0dHWFrayvq1q0r9PT0hK6urjKk8rtDid+/f1/ky5dPGRLewcFB1KhRQ2hqagpAtG/fXll2zpw5yv4LFy4sHBwcRNWqVYW2trYARJ8+fT75uD82PG1ISIgwNzdXhmRPTEwUQghx8+ZNZahtLS0tUa1aNeHo6CjKli0rVCqVAMSMGTOEEFkfFvhdd+/eVba3YcOGTNdPG2p63bp1n3zc0r/TkydPhLq6unJ95MmTR9ja2gpbW1uRP39+AQg1NTUxffp0ZZ20ZR0cHISrq6twdnYWderUEblz51bm9erVS6SmpirrFChQQADiwYMHHy3Tx85/6b8jq+fnh84dX19f5Xf5n9LuZ3Z2dso0Ly8vZfvVqlUT9vb2wsTERGhoaIi8efNm+A3O7Hc5s+1+qmfPninHraGhIaKiojIsc/nyZWUZfX195X6TJjU1VbRt21bZRo0aNYSDg4PIlSuXAET+/PlFUFBQhu/Iysoq0zK9b35W799S1mX1XHq3jmRiYiIaNmwoatSoITQ0NDLUkdKEhoYq9YcWLVpkmL9ixQrlfFuzZk2G+Zs2bVLqVUZGRsLW1lY0aNBAFCpUSFnv8uXLn3U8/5RZXSyr16wQ6a+hIUOGZNjPqFGjlPknT57McjmXL1+ufCdpdT8HBwdRokQJ5bdNV1dX3L17Vwjxv/qZr6/vJ23/Y3Vr6dtLTEwUPXr0UP4vsmfPLmxtbUW9evWUuk/a88f77lEbNmwQgFCpVMq5mz17dqGhoaE8U6Sdu7t27VK2mS9fPlG/fn1Rs2ZNoa+vLwDRuHFjpf4VFhYmjI2NBSDMzc1FrVq1RN68eYW/v78Q4utes0lJSaJ58+bKekWKFBGOjo6iZs2aIlu2bAIQ1tbWyvLbt28XampqAhBlypQRjo6Oyn09R44cH3zWkqSfgQxu/cuk/ch97JP2IPGxG3BCQoIYP368sLKyEpqamsLc3Fx06dJF/P3338rN4Z+V45cvX4rBgweLIkWKCC0tLZEtWzZRq1atDEGbmJgYsXTpUuHg4KBUdLJlyybq1Kkj9uzZk6Xj/lhwSwghLl26pFTo313u9evXYvz48aJixYrC0NBQqKmpCRMTE9GoUSOxbNkyERERIYT4suDWixcvhJaWlsiVK5dISEjIdH0Z3JLe9fz5czF37lxhb28vzM3NhY6OjtDU1BR58+YVrVq1EhcuXEi3fGbXua6urihUqJBo3bq1OHHiRIZ9yOCW9Lmycn5+zeBWamqqWLJkibC0tBTq6uoiZ86col27duLmzZuZ/gZ/7eCWEEKULFlSAKJSpUqZzk9OThZGRkZKsDkzqampYs2aNaJmzZrC0NBQaGtriyJFioghQ4aIV69epVv2c4Nbn3P/lrLmc86lT60jvatMmTICEJs2bcp0e2kBmffV5e7cuSM8PT1F0aJFha6urlBXVxcFCxYU7dq1E97e3iI5Ofmzj+ddmdXFsnrNCiFESkqK8iB9/vz5DPvx8/NT7nHvq1N9zOPHj8XgwYNFmTJl0tX9HB0dxcKFC8Xr16+VZWVw69d14cIF0bFjR2FpaSl0dHSEhoaGKFCggGjTpo3Ytm2bSEhI+OA9av369aJUqVJCU1NTmJiYCHd390zP3cTERLFx40bh6uoq8uTJIzQ0NIS+vr6oVKmSWLt2rUhJSUm33Vu3bglHR0dhbGws9PT0RPny5dPVxb72Nbt9+3bh5OQkcufOLTQ0NISurq6wsbERw4cPFwEBAemWPXz4sKhVq5bQ09MThoaGol69emLHjh2f9KwlST+aSgjZqVaSvrUxY8YwYcIEhg4dyrRp0350cSRJkiRJkiRJkiTpX0MGtyTpG4uLiyN//vy8fv2ae/fuYWlp+aOLJEmSJEmSJEmSJEn/GjKhvCR9Y2vWrOHVq1fY29vLwJYkSZIkSZIkSZL0TdStW5eOHTt+0rK7du2iTJky6OjoYGlpydy5c79p2b41GdySpG9ICMGcOXMA6NGjxw8ujSRJkiRJkiRJkvRvkpKSQkBAANOmTePUqVOftM6pU6do3rw5OXPmZOrUqVStWpUBAwawbNmyb1zab0d2S5QkSZIkSZIkSZIkSfoFPXz4kEKFCin/9vDwYPXq1R9cp1GjRty5c4fAwEA0NTUBcHFx4fr16zx69AiVSvUti/xNyJZbkiRJkiRJkiRJkiRJv6DcuXPj4+ODj48POjo6H10+OTkZX19fmjZtqgS2AFq0aMGTJ08ICAj4lsX9ZjR+dAEkSZIkSZIkSZIkSZKkrNPV1cXZ2RkAdXX1jy7/+PFj4uPjKVq0aLrpaf/+66+/sLa2/voF/cZkcEuSJEmSJEmSJEmSJOk94uPjSUxM/G77E0Jk6Bqora2Ntrb2F2/75cuXAGTLli3ddGNjYwBCQ0O/eB8/ggxuSZIkSZIkSZIkSZIkZSI+Ph6jAgVJDH3x3fZpYGBAdHR0umljx45l3LhxX7zthIQEIGMrr7QuimnzfzUyuCVJkiRJkiRJkiRJkpSJxMREEkNfUNP/JhqGht98f8lRUZwpX5onT56ka131NVptvbudlJSUdNOTkpIAPilv189IBrckSZIkSZIkSZIkSZI+xNAQDLN9fLmvJFu2bBm6Dn4NJiYmAERGRqab/ubNGwBy5cr11ff5PcjREiVJkiRJkiRJkiRJkv4D8ufPj66uLjdu3Eg3/d69ewAUL178RxTri8ngliRJkiRJkiRJkiRJ0r9QREQEd+7c4dmzZwBoaGhQt25dDhw4oHRFBNixYwfm5uaUKlXqRxX1i8huiZIkSZIkSZIkSZIkSR+QLFQgVB9f8GvsJwtiY2PZv38/8DaP1qNHj9i+fTsmJibUqVOHXbt20alTJzw8PFi9ejUAv//+O/Xq1aNBgwY0adKEy5cvs3v3bhYuXJhhlMZfhQxuSZIkSZIkSZIkSZIk/YJCQ0Np0aKF8u8TJ05w4sQJ6tSpw4kTJzJdp3bt2mzbto2xY8cybNgwzM3NmTVrFr169fpOpf76VEII8aMLIUmSJEmSJEmSJEmS9LOJjIzEyMiIyncfofEdEsonR0VyqWgBIiIivklC+X8rmXNLkiRJkiRJkiRJkiRJ+mXJ4NZ/WExMDJcuXSImJuZHF0WSJEmSfpgP3Q/lvVKSMpLXhSRJkvSzkcGt/6iYmBhcXV3Zv38/rq6usnIiSZIk/etl9kCedj/cu3cvjRs3zjCvcePG7N27N9N7pXzAl/6LZB1SkqT/qhSh+m4fKetkcOs/6vbt29SsWZNx48ZRvXp1AgICfnSRJEmSJOmbiYyMxNbWlu3bt2NjY0PRokXJli0bRkZGlChRgvHjx1OiRAkMDAxQqVSoVCoMDAwoWbIk48ePp3jx4mTPnp1cuXJRsWJF3N3dqVmzJnv27JEP+NJ/ytGjRylTpgzjxo2jRo0asg4pSZIk/RRkQvn/qLS3bpUqVWL//v2cO3cOfX39H10sSZIkSfoiMTEx3L59m5IlS/Lw4UNmzZrFrl27iIiIoHfv3ixYsIDevXuzePFitLS00NLSwtjYWGm9ZWpqir6+PqmpqURHR/P69WucnZ3ZvXs3b968ITExkaSkJIQQ6ba3e/duevbsSbdu3TAxMVHKYW1tLe+v0r/GnTt36N69O8nJyVStWpXr16/j7e0tz3FJkv7V0hLKV7jzGPXvkFA+JSoSv+L5ZUL5LJLBrf+wmJgYAgICmDp1KhMnTqREiRI/ukiSJEmS9NnCw8OpUaMGdnZ27Ny5k+DgYFQqFVpaWpiZmaGnp0fjxo05f/48Pj4+SoUx7X5YsmTJDA/pmc2Lj4/nxo0b9OjRgzp16rBz506ePHmirKNSqcifPz9t2rTh0qVL8uFf+le4evUqw4YNY/369RgaGuLq6sqyZcuwtLT80UWTJEn6pmRw69cguyX+h+nr61OpUiXmzJnD0KFDkXFOSZIk6Vfxbr6ru3fvUrFiRXLkyIGtrS3z58+nadOmuLu7c/XqVWJiYnj48CGXL1+mWbNm7N+/P11lMe1+mFkAKrN5Ojo6VK5cmdOnT+Pu7k5AQABRUVEsWbKEEiVKoKuri4uLC5MnT6ZEiRL07t2bqKioDOWWpF/FiRMnGDVqFNu3b8fMzAx9fX0GDx7Mli1bfnTRJEmSJAmQLbek/zdjxgzy5MlDu3btfnRRJEmSJOmDYmJicHFxoUKFCmzZsoWnT5+ipqZGrly5yJMnDy4uLpw/f/6HtZi6ffs2rVq1ws7Ojl27dhESEgKAmZkZuXPnxtnZmbNnz8oWXdIvYc+ePfz555+sX78+3fmamppKgwYNOHz4MOrq6j+whJL03ya7wX97aS23yv/1/Vpu+ZeQLbeySrbckgDo378/q1evJiws7EcXRZIkSZLeKzU1lZYtW2Jtbc3MmTNp0qQJ9erV4/bt27x48YKzZ8/SuHHjHxo4sra25uLFizg6OlKvXj2MjIxo0aIFiYmJ1KhRAy8vL6pWrSoTcUs/vXXr1rF161a2bNmS4XpSU1PD3t6eQ4cO/aDSSZIUExODk5MTPj4+GUb8laT/GtlyS1KcOXOGTZs2sWjRoh9dFEmSJEnKYM2aNXTr1o2kpCQsLCxo1aoV/v7+7Nmz56d+W+3n50eLFi3ImTMnUVFRNGjQAB8fH3r27MnAgQNlqxfpp7RgwQICAgJYuHDhe8/Rly9f4unpyfbt279z6SRJAti2bRunTp1iwYIFDBgwgCtXrpAjRw4sLCywtLTEysoKKysrLC0tMTAw+NHF/WWltdwqF/Dku7XculYyn2y5lUUaP7oA0s+jZs2arF69mkuXLlG5cuUfXRxJkiRJIiYmhoULFzJ+/HhiY2PR0dFh+PDhDBgwgL///hsvL6+fOrAFUKFCBU6cOEH79u2pX78++/fvJz4+ngULFrBnzx4WLVqElZWV7FYi/RSEEEyYMIG4uDgWL16MSqV677ImJibo6ury+PFj8ufP/x1LKUnSq1evmDNnDs+ePUNTU5MDBw7QsWNHBg4cyPPnzwkKCuL+/ftcvnyZoKAgYmJiEEKQPXv2dEEvKysrzMzMiI2Nlfch6ZcmW25J6bx69Qp3d3cOHDgg3yRLkiRJP9SLFy+oWrUqzs7O7N69m1q1arFkyZJf4i2mEIKYmBjCw8OVz8OHD5kyZQq1a9cmMDCQU6dOkZKSAkDevHnx8PDg4sWLMheX9MOkpqYyaNAg8uTJw9ChQz9pndOnT3P48GEmTJjwjUsnSVKa+Ph4mjZtSu3atQkKCuLYsWP4+fmxdetWdu3axdy5cylatGim64aFhREUFKQEv27fvs358+dJTEykY8eOnDt3Tt6H/kG23Po1yJZbUjq5cuWiZcuWLF68mD59+vzo4kiSJEn/UadPn6ZevXp4enqyYMECjIyMcHV1/W6VPCEEcXFx6YJTYWFh6f797ichIUFZLzExkfj4eFJSUkhJSSEhIYGIiAgSEhKIjY1l2bJlaGhooK6uTkpKCmpqajRt2pRJkybx+++/ExAQQKVKlb7LcUpSmuTkZLp3707VqlXp1q3bJ69Xs2ZNxo8fT1JSEpqamt+whJIkwdv7TPfu3enbty8bNmygQ4cO3L17l2vXrtGtWzccHBzo27cvderUoW/fvhkaLOTIkYOiRYsSEBDAxYsXefHiBSEhIfz222+MHz+esWPHyvvQewjx9vM99iNlnWy5JWWQmpqKs7MzK1euJE+ePD+6OJIkSdJ/iBCCrl27smrVKjQ0NChVqhSNGzfO8uiCQgji4+PfG4z6Z8AqNjYWlUqVrguWnp4e2bNnT/cxMjJCU1OTmJgYIiMjefPmDc+fP+fZs2dKMCttGzExMURERJCYmAiAuro6uXLlIiQkhIcPH1KxYkXWrFlD//79CQkJoWbNmuzcuZNcuXJx6NAhTE1Nv/4XLEn/EBMTg5+fH3PnzqV169a0aNEiy9tYuHAhZmZmNG/e/BuUUJKkd40dOxYzMzN+++03nJ2d2bRpE+3bt8fCwoI//vgDeHsPXLFiRbpWXPHx8Rw4cICtW7cSFxeHi4sLV65cwcfHh7Vr19KrVy8aNmzI9evX8fHxkS233pHWcqvs7e/Xcuu6tWy5lVWy5ZaUgZqaGlOnTmXo0KGsW7fuh5ThS4a0lcPhSpIk/XpiYmI4cuQIHh4eREZGkjdvXo4cOYK2tjZ+fn7Uq1eP06dPvzdIFRMTky4wJYRAV1dXCUrlyJFD+XvBggUzBK10dHSU9SMiInj48CEPHz7kwYMHPHz4kEuXLpGUlAS8fetdsGBBcuXKhZ6eHkZGRoSFhREZGYm6ujo6OjpERkYCUKlSJcqXL09QUBAHDhzgyZMnNGvWjP79+yvJf7ds2UKTJk0oV64cUVFRHDp0iHz58tGiRQv69OlDqVKl5P1M+iZiYmJwdXWlfPnyhISE0KhRo8/aTvv27enQoYMMbknSN7Z27Vqio6Px9PTk7NmzVKlShezZsyOE4MGDB0oLSpVKRbdu3bCzs6Ndu3akpKRgbGyMk5MTc+fOJSkpiXbt2vHy5UuOHz9O0aJFKVmyJHp6eri5ucl7znvIlls/NxnckjJVpkwZTE1NOXLkCA0aNPiu+46JicHR0ZGaNWsyYsSILL2pT6ukfc66kiRJ0o8RExND/fr1qVixIoaGhujq6lK2bFlGjx6dLiiV9smXLx+lS5dOF7jS1dX9YOLrd0VHR/Pw4UPu3bunBLEePXqkdC3Mli0bhQoVomDBgpQqVQpnZ2dSU1O5ffs2165d4+bNm1y9epWcOXNStGhR9PT0MDQ0JDw8HFNTU2xtbalVqxa3b99m1apV/Pnnn0qXry5duqCnpwfAunXr6N69O1FRUWzbto3mzZszc+ZMXrx4Qdu2bRkxYgQ5c+bk9u3b8n4mfRO3b9+mevXqX9wVycjIiNy5c3P37t335vmRJOnLnDx5kn379rFx40YA9u3bh5ubmzK/du3aLF68mC5dunDz5k02bdpEYGAgLi4uwNvu/vb29pw9e5axY8eiq6vLoUOHsLCwAEBTU5PBgwfTvHlzevXqhZqa2vc/SEn6AjK4Jb3XuHHjaNKkCbVq1UJHR+e77ff27dvY2NgwefJkRo0alaWK1rlz5yhVqhTjxo2T/cUlSZJ+EUuXLqVixYosWLAAPT09mjdv/kW/3bGxsUrQ6t3WV/Hx8QAYGBhQsGBBChYsSLFixXBwcCB//vzo6OiQnJzMnTt3uHbtGv7+/nh7e5OamkqBAgUoX7489erVo2zZspw9e5bbt2+TkpJC3bp1cXd3x8rKisePH7Ny5Ur+/PNP9PT0iIqKok+fPrRu3TpDPiINDQ2WL1/OwIEDiYiIYOPGjbRq1QovLy8GDRqEh4cHXl5eDBw4UN7PpG/C2tqafv36ER8fj5+f3ycnkc9M9+7dWbp0KbNmzfqKJZQkCSAwMJDJkyezc+dOJYeWn58fEydOBEBbWxsfHx+qVKmCjY0Nrq6udO/eHWtra2UbLVu2xN7eHgBXV1f8/f3JkSOHMl+lUqGlpUXDhg3x8fHB1dX1Ox6hJH05GdyS3svQ0JCePXsybdo0xo4d+932++zZM/bu3YuOjg47d+785IpWSkoKw4YNIzk5mbFjx3L27NkvqqRJkiRJ397GjRsZPHgwFhYWGBoacvXqVcaMGfPBdeLj43n06FG6wNXDhw+JiYkBQFdXl4IFC1KoUCEKFSpEvXr1KFCggNJiKk1sbCw3b97k+PHj+Pv78/TpU9TV1SlevDjly5enW7du5M2bl4sXL3L8+HF27dqFgYEBtWvXpnPnzpQsWRKVSkVSUhI+Pj4MGTIETU1NtLS00NHRoXv37jg7O3/w7beamhpz5sxh3LhxzJ8/nzVr1tChQwc6dOjAsmXLSElJYdu2bTg6On75ly1J/6Cvr4+DgwPm5uaMHTv2i1oH2tjYMHLkSOLi4tDV1f2KpZSk/7ZXr17h6enJhg0blGv06dOnmJubo6amhp+fH/7+/jg7OzN37lx0dXVp2rRpusDWw4cPadOmDVpaWjRo0IDZs2czZsyYDC9OhBD89ttvuLu7y+BWZoTq7ed77EfKMplQXvogIQTNmjVj+vTpFC5c+JvvLz4+HicnJzQ0NBg7diw3btwgLCyM4cOHf3TdgQMHcvjwYU6dOsX9+/cpWbKk7MIhSZL0E0rLjbhv3z4mTJiAiYkJhw4dIikpiZIlS6Kpqcnjx48zBK/S8ljp6OhQoEABpfVVoUKFKFCgAAYGBu/d5+vXr5XWWNeuXSMsLAxdXV3KlClD+fLlKVeuHBYWFiQlJSnBrMuXL6OlpUWNGjWwtbWlTJky6Uadun//PitWrODKlStUr16d4OBg3rx5Q79+/ahdu/Ynd5NMM3v2bB49ekSvXr3w9PTE3NycihUrcv78eY4cOcKTJ08QQsi8ktJX1axZM9atW5ch+Ps50gaC6NChw1comSRJ8fHxNG3alKlTp1KmTBll+pIlS3j06BG3b9+mYMGCBAQEcO/ePTp06MCWLVvw9vamePHiJCcnM2zYMFavXo27uzslSpRgyZIl2Nracvz4cc6dO6fcO93d3Vm6dCmGhoYMGjSIFi1aULVq1R916D+VtITyZW4+/W4J5W+UtpAJ5bNIBrekjwoKCmLgwIHs2rUryxX1rPLy8qJ06dKsWLGC/fv3I4SgdevWDB8+nHLlyr13vXXr1rFy5Up69uxJy5Ytv2kZJUmSpM+XlhuxbNmybNmyhYSEBNzd3Xnz5g1hYWFKt4j8+fMrgauCBQtSoEABjIyMPrp9IQRPnjzB398ff39/bt68SXx8PMbGxkoQq1y5chgbGwOQnJzM1atX8fX15fz58wghqFq1Kra2ttjY2GToSpiQkMDu3bvZuHEjuXLlol69ehw5coSUlBQGDRpE+fLlv+j7WblyJefOnaN3794MGTKEpKQkVq9eTcWKFalSpQqJiYnUrFmTM2fOyDxc0hcTQuDk5MT+/fu/yvZiY2Np3rz5V9ueJP2XCSHw8PDA3d2dhg0bAm+DXRs2bGD48OF4enrSr18/Hjx4gK2tLT179qRp06bo6OgwcOBA6tevz6JFi7CysmLHjh3kyJGDhg0bsmbNGpo2bYqjoyOxsbFMnjwZlUpF27ZtWbJkCYaGhjx+/Jhhw4axadOmH/wt/BzSglulb3y/4NbNMjK4lVWyW6L0UZaWllSsWJFt27Z908DRvXv3uHnzJh4eHuTPnx942/d7wYIFuLu7K10V/+nSpUts3rwZHR2dzxq+WpKkX58cJfXXkZZXcdq0aSQlJZE9e3bc3NwoVKgQ2bNnz9K2UlJSCAwMVAJZgYGBpKamkj9/fsqXL0+jRo0YNmxYui5Sqamp3LhxgzVr1nD69GkSEhKoWLEitra29O/f/705JgMDA1m+fDk3b97Ezc2Nnj17snz5cs6cOcPo0aO/WuvmLl26YGhoqKQEGDlyJL1798bLy4sRI0bQs2dPxo0bl+WclJKUmUePHlGgQIGvtj09PT0KFizI+vXr5YhrkvSFxo4dS7Vq1WjYsCGvX7/mjz/+4MSJE7Rq1YpKlSrh5eVFWFgYTZs2ZdSoUTx+/Jj8+fOzYMECgoODmTlzJkuWLKFZs2YAHD9+nEqVKmFmZka7du2UQSC8vLwYN24c8DagBpA/f340NTW5f/8+VlZWP+orkKQskcEt6ZMMGTIER0dHGjZs+E2ix0IIhgwZwqxZs/Dz88PGxkaZZ2pqSt++fRk9ejQzZsxIt96zZ88YPnw4RYsWpW3btsTGxsoHXOm7kkGVHy8qKoqqVavi6OjItWvXZGuWn1x8fDwbN24kPj6emzdvsnfv3k/6/4qLi+PmzZtKt8InT56grq5O0aJFKVeuHJ07d6Zo0aJoaKSv2ggh+Ouvv/D19eXkyZNERUVRpkwZbG1t+e233z6477i4OHbs2MHmzZuxsLCga9eu2NrasmjRIqytrZk/fz7m5uZf/J38U8uWLTE0NGTmzJkMGzaMUaNGERERQd68edm8eTPR0dHs2bOHQYMGffV9S/8tFy9epEqVKl9tezExMdy8eRN9fX1Wr14tf48l6TOtXbuW2NhYGjRoQK9evXj69Cmenp6MHDmSI0eOUK9ePVJTU2nSpAllypShUaNGODk5ERISQpkyZciXLx9VqlRJ1/p4/vz5LFu2DIBWrVrRo0cPtm3bhpeXF5MmTUKlUvFup67+/fszd+5cFixY8N2PX5I+hxzfU/ok2trajBo16psllt+xYwc2NjZYWlpy9erVdMEtgMaNGxMeHs7JkyeVafHx8XTu3JmhQ4cSFhZG+fLlcXV1Zf/+/bi6uiqJhSXpW4mJicHe3p5t27bh4uIiz7nvTAiBj48PNjY22NraMnPmTKpXr05AQMCPLpr0Hm/evKFBgwaoq6vTrFmz9wa2wsLCOH78OLNnz6Z9+/Y4OzvTvn179u/fj5mZGcOHD8fHxwdvb29mzJhB27ZtKVmyJBoaGgghCAoKYuXKlbRr145GjRqxbNky8uXLx7Jly9i/fz9Tp07F3t7+vQ/dN2/epG/fvjRt2pSEhATWr19PnTp1GD58OP7+/qxfv57p06d/k8BWGkdHRwYNGsTChQsZPHgwy5cvp3v37kpw8OnTpzRt2hSZXUL6EhcvXvyqOXVu375N3bp1mTFjhvw9lqTPdOLECdasWcPjx4+ZOHEi3bp1w9vbm4YNG6JSqdi3bx9OTk6MGDGChw8foqGhwezZs8mfPz958uQhOjqavXv3smTJEhYuXMijR4/w9/cnb968mJqaApAzZ07U1NQIDQ1lzJgxxMbG8tdff6UrR4UKFXj06BGvX7/+EV/Dz0l8x4+UZTLnlpQlHh4e9O/f/4tzirwrKiqKJk2asH//frS1tXF1dWXbtm1oaWmlWy4yMpImTZqwe/duDA0N6datm5IENa1Z7saNG5k7dy5jx47F2dlZdteQvqmLFy+yYcMG5s+fT79+/QgKCqJfv37Uq1cvXdJp6esSQnDw4EHmzp2LtrY2Dx48UH4fLl26xNGjR2VLgZ9MTEwM169fp2HDhmhpaREcHIy2tjZCCJ4+faoker958yaxsbHkyJGDcuXKKTmycubM+cHtBwcHc/z4cXx9fQkJCcHS0hJbW1vq1KmDiYnJJ5dx69atbNu2DSsrK7p160bRokVZvXo127Ztw83Njc6dO3+VpNtZcfXqVX7//Xfs7e2ZO3cuOXPmJDQ0lPDwcHR0dOjbty/Dhg2TLUilz+Lk5ISPj88HR/TMipiYGKpVq0aDBg24cOEChw8fluekJH1EWi+A4sWLs2bNGry8vGjXrp0ykvC7hBDY29tTsWJFFi5ciJOTE7NmzSI2Npbq1auzatUqXFxclOWDgoLo2bMnxsbGTJw4EUtLS2Wet7c3jx49om/fvgghKFWqFO3atUs3kNeBAwfw8/Nj5MiR3/6L+IkpObeuf8ecW2Vlzq2skt0SpSyZNm0aHTt2ZP/+/V+tIjRu3DiGDx+uPOgkJSVlCGwBZMuWjXHjxjFw4EBKlSpF0aJFMTIywsTEhCJFivD06VN27dqFuro6169fZ+jQoV+lfJL0Pn5+fuzatQsNDQ18fHwoUaIEly5dYurUqZQtW5a2bdtSvnz5bz4Qw79dWqWvZMmSXLhwgVmzZlG5cmWKFCmCpqYm/v7+5MuXj9jYWHR1deWD1E8mLYG8tbU1RkZGjBkzhtGjR3Pnzh1SUlKwsLCgfPnyODg4MHjw4E8KHoWGhnLixAl8fX158OABefPmxdbWlokTJ2a5NZWfnx/Lly/nyZMntGzZku3bt5OcnMwff/zBwIED8fDw4ODBgxkSy38vNjY2zJs3j969e+Po6IiPjw8GBgZoaWnx6tUrli5dyuHDh2nYsCEjRoyQ3cCkT5aYmIiGhsZXq88BaGhoYGJiQokSJdDW1pbnoiR9xPPnz3Fzc6NWrVrs2rWL1NRUzp07R9GiRTMsGx8fz/Tp07l58yYBAQFKAvhNmzaxfv16GjZsmKEBgqWlJa6ursyfPz9dYAvethBu3Lgxffv2RaVSYWNjw6NHj/jjjz/w9PQEoGHDhsyaNYtBgwa9Nyflf4pQvf18j/1IWSaDW1KWmJmZ4eLionSP+FI3btwgNDSU+vXrA/DkyRPy5cv33uVr167NggUL2LNnD0ePHsXJyYl169YBb4dQr1y5MufPn2f//v2yQiV9Uy9evGDlypVERUUpeYAaNGjA0aNHOXLkCDdu3GDDhg0MGzaMOnXq4O7unqFSIX1cTEwM9evXp3r16uzdu5fGjRuzfPlyhgwZgr29Pdu3b6d06dJoaGgwfPhw6tWrR0xMjLz+fyK3b9+mfPnyzJgxAw0NDZ49e4aHhwfFihXLkB/rfdK6pfv6+nLnzh1MTEyoV68eQ4cOpVChQlkuU2RkJJs2bWLnzp1YW1vTp08fSpYsyYsXL5g4cSL+/v54enoyZMiQr/rg/7lKlizJypUr6dKlC/r6+kRHR2NhYcGzZ8/IlSsXlStXZty4cYwdO1YmmZc+2Y0bNyhTpsxX3eauXbto0aIFnTp1Std6RJL+y5KTk3n48CF3794lMDCQwMBAHjx4wPPnz3n27Bnu7u5Mnz6d+Ph43rx5o3QdTPPmzRsWL17MyZMnyZ49O8bGxhgbGzN58mR69OhBzpw58fb2Zvbs2QQFBWVo7ZV2H/b29sbV1VWZrqWlRdGiRbl16xalSpVCpVIxefJkRo8erdxz0kZR3LBhA126dPku35ckfS4Z3JKyrEePHjRq1Ag3N7cMP75ZkZqayu+//86KFSuUaZnl23rXvXv3CAsLA2DVqlXUq1ePXLlyAbB161Z8fX3Zvn07fn5+2NrafnbZJOljBg4cSPbs2TEzMyN79uwYGRlx8eJFXF1dKVeuHJcvX2bmzJmkpKRw8uRJJk+eTEhICM7OzrRs2VI5b6X3e/78OS1atKBixYrMmjWL5ORk8uTJQ9euXRkyZAivX7/m2bNnjBw5kitXrmBpaYmhoSE7duygQ4cOP7r40v8zMTFh8+bNSqvaT2lZFB0dzZkzZ/D19eXGjRsYGRlRp04dPD09KVq06Ge1hhRCcOnSJVasWMGLFy9o06YN3t7e6Ojo8ODBA3r37k1ISAj9+vVTEuv+TAoVKsSGDRuoWbMmycnJvH79GmNjY4KCgoiIiAAgICBAtlqWPtnXzrcFsGHDBjZs2IC6ujo5cuTg4cOHhIaGyi6z0r/CxwYRevXqlRK8CgwM5N69eyQkJKCurk7BggXJly8fL1684MGDBxgaGuLh4UG9evVwd3enT58+XL58mQEDBuDh4UHevHlxc3Nj7969PHjwAE9PT0aMGIGFhQXFixenV69etGzZkqFDh2Jvbw+8baUVFBRE7dq1lTKFhoby9OlTtm7diouLC2XLlqVgwYLK/A4dOrB27VqmT5+uTFuwYAE9evRAU1OTDh064O7uTqNGjejUqdNP8cJHkt5HBrekDD72w62urs6kSZP4/fffWbVq1WfvZ/Xq1TRs2DBdF5KrV6/i5uaW6fKRkZH06NGD1atX8+zZM5ydnXn48CHw9o2EmpoaRYoUwdXVlaVLl8rglvTNeHt7Y25uTkBAAHny5CE1NRUAlUrFnj176NGjB8WKFcPPz4+cOXNia2uLra0t8fHx7Nu3j169epGcnEzz5s1xdXX97jl8vsT3GB0yMjKS/v37s3//flQqFU+ePFESqEZGRlK9enVMTEwYM2YMxYoV482bN1SuXBmA6tWrs3r1ahnc+ok4OTmRK1cumjVrxujRozM9b+Lj4zl//jzHjx/Hz88PHR0datWqRdu2bZkyZcoXVabDw8NZv349e/bsoXz58gwdOpQiRYoAbxPHpwWhBw0a9FXzSX4LefLkwdnZmTNnznDnzh3y589PTEwMr169YsGCBSxbtkwGEKRPdvHiRVq2bPnVtnf37l3MzMzQ0dHBz88PlUqFvb09bm5ussus9MtL62Jfo0YNBg0ahKenJ48ePSIwMJCXL1+iUqnImTMnxYoVo1ixYrRv357ChQuTkJDAnj172L17N8HBwTRp0oRRo0ZhZGSkbLtIkSKsW7eO4OBg9PX1KVKkCGPHjqVnz56Ym5szaNAg7O3tGT16NKmpqRgaGrJ69WrWrl2b7jnKysqKXbt2pSv3ggUL6NOnD1paWixZsoTu3bvj4+OjpICxsbFhxIgRpKSkKKMlqqmpsWTJErp27YqmpiZt2rShfv36HDhwACcnp+/zhf+svleyd5kV/bPI4JaUTtoPt42NDX369GHmzJkULlwYU1PTdAmyK1asiL6+PidPnqROnTpZ3s/r16/ZvHkz+/fvTzf91q1bjB49OsPyqampdOnShfHjx2NhYcG2bduoW7cumzdvplOnTowZM4ZWrVoBUKJECf766y+EED/dm3fp5/YpgZuIiAjmz5+Pu7s7ly9fxsDAgOTk5HTLLFmyhAkTJmBtbc2ZM2coXLgwADo6OjRr1oxmzZoRFhbG9u3badWqFTlz5qRNmzbY2dl9cjet7yk1NZW4uDhCQ0Pp2LEjtWrVYsiQIaxduxYTExN0dHS+ypu8hIQERo4cybp166hcuTI1atSgTJkyHD58mF27diGEoHjx4vTo0QNHR0fU1dWZPn06f/75J+PHjwfAxcWFSZMm8eDBg8/qriZ9XevXrycoKIhXr15hYGCgTE9KSuLy5cscP36cS5cuoaamRrVq1WjcuDFjx4794utACMHZs2dZuXIl4eHhtG3blr179yqV+bNnzzJnzhxy5crF6NGjlWv0V5CQkMCmTZto2bIld+7cQQiBEAJ1dXWGDh1Ky5Yt0z00SdL7vHr16pMHXEjzz/tkSkoKf/31F5cvX2bevHno6+vTsmVLSpcujZWVFblz52batGnfrMvs93jhIknw9kV6uXLl8PLyIjIykpMnT9KuXTu6du1Krly50j1zREZG4uPjw7hx40hNTcXV1ZWVK1eSPXv2DNtdu3Yt0dHRmJmZcebMGRYtWkTBggWZP38+hQoV4s2bN6xatYpRo0YRFRVFy5YtOXnyJKdPn86QaDyt5Vaa6OhoLl68qNSRChUqRI8ePRg2bBhz5swB3r6YtbOz4+jRo+mOQU1NjeXLl9OpUyc0NTXp3r07Hh4eMrgl/dR+vqco6Ye6ffs21apVY8KECfTr14/u3btTokQJkpOTldYpGhoa5MmTB2NjYzw9PZkxYwYFChTA3NycHDlyZAgoZVbxGDFiBBMmTEj3ACOEIDExEW1t7QzlGjNmDI6OjlSvXp2wsDAOHjyo5N+pU6cOp0+fZtmyZcDbH+kyZcpw8+bNr55LQvr3iomJoXHjxlStWvWDb5h///13xo0bx8yZM9HU1ESlUinXxrtGjx6Nubk51apVY+vWrejr66e7BnLkyEG3bt3o1q0bT548YdOmTcyePZvixYvTtm1bKlWqRGxs7CdV2pOTk4mNjSUmJoaYmBjl71n5MzExMdNtq1QqVCoVurq6xMbGUrlyZSZOnEjv3r2pVasWRYoUQV9fX3nbl7ZOmrRp2tra6Onpoaenh66ubro/dXR0OH78OIcPH6ZgwYLMmTMHb29vrK2tOXfuHOHh4ahUKiwsLFi/fj3Ozs4YGRnRsGFDOnXqhI6ODnny5AGgXr16zJgxgzVr1jBu3LhP+8+XvrqYmBiuXr1Kt27dmDp1Krq6uly9epXjx49z7tw5kpOTqVSpEra2tgwdOjTTQUQ+x+vXr1m7di379++nSpUqjBkzRglyCiHYv38/ixYtwtramvnz52c5+fzPIDw8HAsLC86fP0++fPmIjo5GpVKRkpJCtmzZaNSoEXPmzJEP+9IHvXnzhhw5cmRpnZiYGJydnalatSpdu3bF3NwcLS0tSpQoQdmyZTE0NOTkyZPKy46YmBgqVKgAvG2Z/7W7zL5+/Rp7e3scHR1lyzDpm9PQ0GD37t0kJydz9uxZ5XmpaNGiuLi4YGNjw5EjR9i2bRtv3ryhdevWLF++/L3XWUxMDGvXruXw4cMUKFCA4OBgLl++zJ9//pluhGBjY2NldHgXFxfmz5/P4MGDOXDggPJiP42RkZHSTR1g+fLldOvWLV29zM3NjVOnTrF7926aNGkCQNu2bRk+fDgaGhpKvQ3e9tZZtWoVHTp0QFNTE0tLS65cuULFihW/xlf6a5Itt35qMrglpWNtbU2/fv2Ii4vjxIkTrF69mo0bN/LXX3/RvHlzWrdujba2Ns+fPyckJITo6GiWLl2KtbU1wcHBSj4sAH19fUxMTDhz5gxOTk5KxePGjRuoVCqqVKmSbt9Pnz7NkAAR3ubSio6OpnPnzgBMmjSJ4cOHo6mpycKFC2nRogUmJibpbgSNGzfG29tbBrekT3br1i3Kly/PpEmTGDhwINeuXaNGjRrplkmrtBcsWBAdHR0MDAyIiop6bwvBLl26YGRkRMeOHXF3d2fo0KHKm7J/BqKyZ89Ow4YNCQoKol+/fjx58gQtLS2aNGnC3r17MTMzQ0tLCw0NjQyjW2loaKCnp4e+vv57/8yZMyf58+d/7zKfElxIa9k5evRofHx8gLcPSElJSVhYWODo6Iijo2OGfGJpgevY2Fji4uKIjY1VPlu3buXPP//ExMSEESNGkD17dmWQiGfPnuHn50d8fDyFCxcmJCSE1q1b8+DBAzp16sTs2bPR0tJi27ZtODs7M3HiRMqXL688YKWmpsrcED9A2nlSunRpTE1NOXnyJEeOHKFcuXLY2trSu3dvdHV1v9r+hBCcOHGCVatWERcXR4cOHThw4IDy8iQ5OZlt27axatUq6taty/r167P8UP8zSRsVVKVScefOHczMzBBCoKenR3BwMGpqauzatUs+7EsfdOnSpQz1sA/x8/PDy8uLChUqMGXKFACaNGmibGPTpk20bds23W+uvr4+TZs2JSQkhN9+++2rnYspKSmsX7+eBQsWYG9vz8SJExk5cqQcTEH6ZoQQjBs3jr59+yr5smbMmEFSUhLLly9n2LBhPH/+XElV4erqyvbt22nfvn2m24uJicHBwYGKFSty+/Zt9PT0KF68OKNGjcqwbGxsLC1btkRdXZ1Dhw4xYMAALl++TFhYGBs3bqRr1640atQoXQ8beDsaqo+PD0eOHMmwzWnTpin5twoVKoSFhQVRUVEYGBikC27B2zrmmjVraNu2LQ0bNmTu3LmsX7/+C75NSfp2ZHBLSkdfXx83Nzf09PTImzcvBQoUYO7cucTHx7Njxw7atGmDubk53bp1o0qVKlSpUgVXV1e6d++eLjkhvG0Ke/DgQbS0tJg4cSJDhgzh6tWrTJgwgS1btmTYd2bJ5K9du8b69evZuXMnAEFBQTx+/Ji6desCb/uWh4eHZwhiVa9eXal8SdKn2LJlC6dOnWLo0KHs3r0bX19ftmzZogzFHBcXx/jx49m1axcLFy6kYMGCaGtrc+zYMRISEvjjjz8IDQ3l5cuXhIaGEhYWxqtXr3j48CHt2rVjypQpDBgwgFmzZmFlZZUhwJQnTx7i4uKIiIggR44cBAYG4ubmxuzZs1FXV+fly5dky5aN6OhooqOjSUhIUMqekpJCVFQUkZGRqFQq9PT0MDAwwMDAAENDQ+XvmX0SEhJITEzEwMBAeWB+H319fby9vQkICKBVq1a0atUKQ0NDLCwsSE5OJjg4mL59+xIeHk7NmjVxcnKiTJkyqFQqtLW10dbWVoIK27dvp3///uTKlYvjx48ruY7++OMPSpcurQSq2rdvz/3792nXrh2BgYFs2bKFAgUKKDkljh49ipqaGsbGxkpruXLlyhESEsLJkyepV6/etzplpPd4twWwlpYWjo6Oym/21/TixQvWrFnD4cOHqV27NpMnT0432m58fDyrV69m27ZtuLm54e3t/Uvlt3uftNaUALly5aJevXqcOHGC6Oho4O1b+SlTpsiRE6UPunDhAo6Ojh9cJi4ujq1bt7J582ZKlCiBl5cXgwcPZvTo0ezYsSPdg/vGjRvZsGFDhm24urqyZs0a/P39cXd3/6IyCyE4cOAAc+bMoUmTJhw5coQWLVowevRotm/f/tHjkaTPtXnzZmrUqEHx4sVJSkpCQ0ODsmXLYm5uToECBahQoQLPnz8nIiICGxsbxo8fr9T5Bg4cmK5bfkpKChMmTKBChQrMnTsXNTU1Tp06RXR0NLdu3aJYsWJoamoCb895e3t79PT0KF++PC4uLsq1O3LkSKXL4ty5c3FycqJz587o6ekRExOjpL74Z9AL3o6SuHTp0nT5t5o3b87ixYvx8/OjZs2a6YLRmpqarFu3Dnd3d8LCwggICCA6Olq2EJZ+OjK4JWXw8OFDfv/9d2xsbJgyZQpz585FR0eHtm3b0rZtWwIDA1mxYgUjR46kSZMmjBkzhiFDhrBt27Z02zEwMMDR0ZHRo0ejpqbGoUOH2LlzJy1atMDY2DjDfq9evZpueNrQ0FAGDhzItm3blDfwY8aMUfqNA0RFRREdHY0QQhnGFt6+ZTAzM3tvazDpv+FTc3HMnz8fNTU1li1bxunTp9HX1yc+Pp769etTrFgxjI2N8fPzw9jYmLZt23LhwgVy585NuXLlePbsGQYGBuTIkYPIyEgiIiIICwtTmnZbWFjg7e2NkZERR44coU2bNowYMQKVSqXkbDh69Ch3797F1NQUIQTBwcEkJCRw5coVxo4di7+//ye3wEjLj5UWBPvnJyoqimfPninXzrufuLi4DNtLe4Onq6ubIWDm7OzMzp07ef36Nc2bN+fMmTOkpqbSo0cPkpOTWbVqFQEBAVhZWeHk5ETVqlXZunUrM2fOREtLi02bNlGrVi1lX1u3bsXPz49p06Ypifa7devG8uXLsbKyYs+ePTx69AhNTU3i4uJ4/vw5wcHBrFixgnLlyrFhwwYOHDhASEgIuXLlIj4+PkN3UOnbs7a2pm3btkRERBAQEMCYMWO+2rZTU1M5evQof/75J6mpqXTs2JFBgwalq7xHRESwZMkSjhw5goeHBwcPHlQeFP4N/vlWPXfu3JiZmfHmzRulNWRiYiJ37tyRIydK73Xt2jWGDx+e6by///6bJUuWcPv2bVq1asWOHTuUwHDaC462bdvSs2dPNm/eTFhYGHny5MmQ/wegUqVKjBs3LtMH7Ky4dOmSEhDYuXMnhoaG6crTo0cPOnXqxPTp0ylXrtwX7UuS3hUSEsKMGTPw8PBg6NChPH36lLx58xIdHY2xsTEODg5UqVKFggUL8uLFC2rUqIGenh779++nWrVqtG3bVslFlzNnTiZOnIiJiQmXLl1i1KhRXL9+nbJly3Lp0iXWrVvHnTt3SE5OJmfOnJw/fx49PT127NhBnz59mDNnDra2tjg5OfH8+XPMzMwYPHgwAwYMYO/evXTo0IGnT59y6NAh1q5dy759+957XAULFqRnz54MHTqUuXPnKgnrz549y4wZMzLUO7W1tdmwYQP169enWbNmtGrV6j/ZQliFCpX49jmdVci80Z9DJf5ZS5L+8xo3bszu3btRU1OjefPmzJkzJ93b8DQJCQl4e3uzYcMGHj16RJs2bRg6dGiGlh8NGzZk5MiRDB06FF1dXUqUKEFCQgLTpk1L15WwSZMmbNmyBW1tbRITE3Fzc2PatGlKwOrixYusXbuWRYsWKevMmjWLXbt2KU1/9+3bp3Sv2rVrF8+fP8fT0/NbfE3STy6ta1TlypU5duwY7u7uREZGKi2rYmJigLdd316+fEndunUxNTXF1NSU48ePU7t2bfbs2UPBggWJjIwkW7ZsbNq0iUuXLrFjxw6uXbtGeHg4VapUwdvbm6pVq1K/fn20tLTYvHkzFSpUQFNTkyVLlmBvb0+fPn2wsrJi2LBh3LhxA2NjYwwNDalbty62trZcvXqVlStXUqlSJZYtW4a3tzc2NjYEBARQsmTJH1pxEEIQHx+fabDs/Pnz7Nq1i5SUFKytrcmZMycnT54kLi6OIkWKoK2tTXR0NM+ePSMyMpImTZrg7e2NhYUFOXPmVH4vXr58yePHjylevDg3btzAyMiI7Nmzo1KpSEhIwMzMDF9fX1JSUjAwMCAuLo7SpUvz999/k5KSQt26dZWA4osXL7hy5Qrm5uZ06dKFs2fP/ucqXz+SEAINDQ2GDRvGyJEjv8r3HhISwqpVqzhx4gR2dnZ07NhRybOW5sWLF8ybNw9/f388PT1xdnb+V3ZLbdy4MXv27FH+7ezszO+//469vT3x8fFK8OvgwYM4ODj8qGJKPzEhBE5OTukG9UlOTmbv3r2sXr2aXLly0aNHj4/m1QkICKB///4UK1YMDw+P9y7frl07Xr16hbe3d6Z5VT/k77//ZuzYseTIkYPRo0djZmb23mXfvHlDq1atmD17NqVLl87SfiQpMzExMVSsWJEGDRpw4MABHBwcSEhIYPHixSQkJNC4cWO2b9+uvLTfunUrhw8fVkY4nD17NsHBwfz222/079+fp0+fUqNGDe7cuUPjxo0xNzenXbt2DBs2jMePHyu/7VFRUTg4OBAWFka3bt2UlxYWFhYUK1YMQ0NDrl+/zqZNmzKklRgxYgQ7duxApVIxY8aMTLssvittpODr16+TkJDA/PnzGThwIFeuXMk0Af7du3ext7dn/vz5jB07Fmdn5/9EC+HIyEiMjIwo4xeCukHGQP7XlhIdyY0K5kRERGT64kB6DyFJ/+Ds7Kz83d/fX/z2228fXefWrVuiQIECol69emLu3Lni9evXQggh4uLiRNOmTYUQQtStW1d07txZCCHE+fPnhZ2dnVi7dq1ITU0VqampomHDhsr2PD09xe7du5V/p6amikaNGokXL16k22+JEiXErl27hBBCbN++XQwfPlyZFxUVJZo0aZLFo5f+LS5evCh+//13IYQQffv2FRUrVhTDhw8XR48eFVFRUUIIIU6cOCGaNm0qEhMT06378OFD0bZtWxEeHi7s7OxEyZIlRY0aNcTVq1dF9+7dxbhx44S+vr7o3bu3EEKI3r17iyJFiohChQqJTp06iZcvX4rly5eL/Pnzizp16ojhw4eLJk2aCGdnZzFp0iQxduxY0apVKxEbGyuOHDkiGjRoIGbNmiW2bt0qcuTIIS5duvR9v6wvtGXLFtG1a1cxePBgMXDgQJGUlCSCgoLEb7/9Jlq1aiX8/f3FxYsXxcCBA4UQb78vU1NTYW5uLho0aCC8vLxEgwYNxMmTJ4Wtra148OCBsLOzE4mJiWLKlCni1KlTok+fPkJdXV306NFDVK9eXRgbG4sVK1YIR0dH0apVK1GuXDmxZMkSUbVqVZEtWzahUqmU/58xY8b8ct/pr2zmzJlCQ0NDJCQkfNF2kpOThY+Pj2jevLlwd3cXR44cESkpKRmWCwoKEj179hRubm7ixIkTIjU19Yv2+zNLTU0VLi4u6aY5OTkJIYSwtrYW+vr6aaluRdmyZX9ACaVfwd27d0Xfvn2FEEKEhIQILy8vYWdnJ+bMmSPevHmTpW2dOHFCmJiYiNjY2Pcus27dOtGkSRNx/vz5T97u8+fPRc+ePYW7u7sIDAz85PVevnwp7OzsxO3btz95HUl6n4sXL4qhQ4cKIYQYMWKE2Llzp+jfv78y/9KlS6JNmzbKfadt27bCx8dHTJ48WQghRFJSkujdu7cwNjYWGzduFEIIMXbsWNGiRQtRqlQp0bBhQ3H+/HnRpk0b0aJFCyGEEA8ePBA1a9YUNjY2IioqSiQnJwtbW1uRlJQkkpKSxO3bt8WmTZtE2bJlRe3atUWjRo1Eu3btxPTp08Xu3btF5cqVRb9+/UTt2rXFpEmThK2trZg1a5YICwtLd2ypqani3LlzwsPDQ5iYmIiaNWuK0qVLiyFDhgg7OzsRHR2dbvm4uDjRt29fUadOHWFtbf3e5f6tIiIiBCDKXA0R5QOjv/mnzNUQAYiIiIgffei/FNktUUonOjo63Vv2cuXKERMTw99//02RIkXeu561tTV//PEHx44dI3/+/HTt2hUDAwNq165N8eLFOXz4MBUrViQ4OJjbt29TtWpVJW+Cq6srQ4YMUboP/vHHH+TJkyddF8Xdu3dTvXp1TE1NlWn37t0jMjJSGZK2WbNm7N27l3PnzlG9enUMDAxQU1NTWt1I/y3W1tb07duXfv36ceTIERwdHalQoQJ79+5l1qxZJCcn8+jRI5YvX55h3QIFCpCamkpkZCTVq1dnx44d9OrVi5YtW/Ls2TMKFCiAuro6hw8fpm/fvuzatYv8+fMzceJEdu/eTfny5Xnx4gVmZmY8f/6cunXrMmrUqHT5fhYvXkzBggVp06YNW7duZd++fXh6euLr60vZsmW/51f1xVq2bMmLFy8IDQ2lVKlSNG3alJUrV7J06VIePXrEtGnTePToEX///Tepqans27eP5ORkZs2axZkzZ5g+fToGBga4urrSpUsXduzYQZ06ddDU1OTOnTtUqFCBNWvWKENca2tro6GhQWBgIG/evEEIwb179xg0aBDm5uaUKFGCIkWKsHv3bgwMDLh8+bLsnvWdREVF4eXlRf78+T97BMTHjx+zcuVKzp49S8OGDVm0aFG63/40N2/eZObMmaSkpChvnv/t4uPj0yXjT0hIUFrCrFixIl3OoevXr7N161YKFiwou+ZKwP+66l+/fh1DQ0Pc3d0RQtC1a1dGjx79wZyL75M20EenTp1Yv359ulGw0zg4OLBq1SrOnz9P1apVP7i9qKgoZs6cydWrVxkzZgyVK1fOUnly5crFxo0badOmDYsWLaJ48eJZWl+S3mVtbc2AAQMYMmQIe/bsoUqVKkp+Q3jb7bZUqVKsWbOGNm3aEB4eTsmSJTly5AinTp1i/PjxuLu7M3LkSDw9PQkNDeXMmTMcOnQIX19fjh49io+PD4cPHyZPnjysWbOGNWvWoFKp2LRpEwYGBnh7e9OwYUPl2ipZsiQlS5akXr16dOrUib179/LmzRtu3ryp9CSYO3cuY8eOpUGDBgwbNkzpsmhhYUG7du24cuUKe/fuxcbGhlGjRlG0aFFWrlzJhQsXcHJy4vjx4+nuGYGBgfTu3RtPT09u3brFqVOncHBw4OjRo/LeIv1UZLdEKR0/Pz92796dLq/VnTt3mDJlCmvWrPno+m3atGHkyJGUKlWKR48e0b9/fwIDA0lKSuLw4cNoamrSvXt39u7dq1SiHjx4gLu7OyYmJvTt25dVq1axfv16pTtJUlISDg4O7N27N11wwNPTkxcvXijJ5uHtEOlNmzZlz549GBgYsHz5coyMjGjZsuXX+oqkX8iuXbvYsGEDZcqUUXJfLV26lKSkJNq1a0fv3r25efMm/v7+qFQqbGxsqFWrFlWqVOH69eusWLGCmzdvYmRkxJ07d6hduzaHDx8mOjqaVq1aceDAAQwNDXn8+DGFCxdWRvV78uQJFStW5OnTpyQnJ2NhYYGzszNOTk6Eh4czduxYdHR0aN68OdOmTcPOzo65c+dy6tSpX7oiPmLECMzNzalduzb9+/dn5syZyjDwkyZNwtfXl6CgIKpUqUL27NnZvn07hoaGdOjQgYCAAAoXLszRo0cJCgqicOHC5MuXj4CAAEJDQ7GysgKgcOHCBAcHc/bsWfLmzYuJiQl6enpky5aN48ePU7hwYbp160adOnWwsbGhV69eTJgwQVa+voOYmBjq1KlD9erVOXnyJOfOnfvk7z0pKYm9e/eybt06DA0N6dy5M7Vr1870Yfvs2bPMmTOHXLlyMXjwYAoXLvy1D+Wn9ezZM8aNG8fSpUuBt122Fi9erIzCWqhQIZ4+fUpKSoqS869jx46cP39eds39j0vrql+xYkU2b95Mo0aNGDlyJHnz5v2i7bq4uLBhwwb279+Pr68vS5YsyfS6bdCgATly5GDr1q2ZbicxMZHly5eze/duBgwYgKOj42cF29I8f/4cd3d3li5d+sGXs5L0Ma9fv6ZZs2Zs2LCBDh06oKGhwaFDh5T5KSkpNG7cmGbNmhEeHo6rqyt2dnY0btwYLy8vZSCd1NRUHBwcSE5OZvfu3Tx9+pR169YxdepUHBwclJQZ0dHR1K9fn3HjxmFpaYmLiwvr1q3LtIvgzJkzyZs3L23atOHly5fY2tqSkJCAs7MzN27cUH73hRCcOnWKWbNmcfPmTUxMTBg+fDiNGzfm5MmTrFixgpYtW+Lr64uWlhZt2rShQoUKCCFYvXo1O3bsYOnSpXh7e2NoaEj79u1ZuHAhJiYmtGrV6nv9V/xQSrfEq9+xW6KN7JaYVf++ZBTSFwkMDKRYsWLpphUvXhxNTU1u3rz50fVnzJjBsGHDEEJQoEABihUrRt26dWnZsiXDhg1j2LBhWFhYpAuUFSpUSEnc3bJlSzw8PNLlSVm6dCkeHh7pAlupqakcOnSIgQMHptt/9uzZlfxe8LbS5ePj81nfRWZiYmK4dOmSkq9J+rlpa2tja2vLqVOn6NChA5MnT6ZVq1Y0btyYP//8kxYtWjB+/Hh8fHzYvn079vb2XL16laZNm+Lu7q60FlqwYAG2trZs374dfX191NXV2bp1K4aGhujr62Nubq7kR7h79y5WVlbMnTsXAwMDzpw5w8KFC5X8XDVq1MDCwoKRI0dib29P1apV8fLyYsWKFb90YAveBrCuX79OYGAg27dvZ8KECaxbtw6Ac+fOsXfvXhYsWMC9e/fYtWsXRkZGvHz5kq1bt/Lnn38yefJk1q9fT40aNahevTovX74kKCiI8PBwgoODqVSpEhcvXlR+oyIiIqhWrRrq6up06NCB7t27ExQUhL6+Po8fP0ZTU5PExET5QP+d3L59m+rVqzN//nwaNGjArVu3PrpOUFAQI0aMoFGjRjx+/JgVK1awZs0a6tSpk+7BVgjB/v37cXJywtvbm/nz57NkyZL/VGAL3r7AefcB5+HDh+lGKm7evDlqampK3q3mzZszYcIEatSoQUBAwHcurfQzuX37NpUrV2bq1Km4ubnRsWPHLw5sBQYGKonkW7duTenSpRkxYkSmy9aoUYPHjx9nGBBBCMHWrVtxdHTEwMCAgwcP0qhRoy8KbAGYmZmxfv16unfvzv37979oW9J/W86cOdHT08Pc3Jxt27bh7+/P1atXlfnq6uosXryYMWPG8Pz5c/r160eBAgWYP3++EtgCePXqFdra2kyaNAk3NzdCQkJ4/vw5KSkpBAYGIoRg4MCBdOvWDQ8PD6ZMmUKNGjWIiIjIdMAfgL59+7JixQp8fX2pWbMmpUqVws/PjytXruDt7U1sbCwzZ87E3t6e48ePs2DBAh48eMDBgwe5f/8+NWvWxNPTk5kzZ9KkSRM0NTUxMzNjw4YNREZG0rFjR54+fYq3tzc5c+Zk586dtGnTBoCOHTuyevXqb/rd/4xUqd/vI2WdDG5J6WQW3AIYNWoUEydO/Oj6FhYW2NnZKcErPz8/QkJCmDhxIlu3bmX69OlKksXRo0fz7NkzYmJi8PX15fLly5w4cQJvb29+++033rx5Q0REBN7e3rRr1y7dfo4dO4ZKpaJ69eoZymBnZ4e2tjb79+/HzMyMV69ekZSU9JnfyNuHCV9fXyZNmkT58uXZuXMnrq6uMsD1i1BXV8fV1ZVdu3ZhZWWFrq4uhQoVYuXKlSQnJyvLqVQqgoODOXPmDPny5aNVq1Y4Ozvz5s0batSowYkTJ+jevTupqamYmppSunRpatSoQdGiRSlcuDApKSlcvnwZbW1tTExMWLZsGT169CAmJoalS5eyb98+Vq1axf3796lWrRoTJkzAysqKBQsWsHbtWpYsWcLhw4d/6QCqSqXijz/+YOvWrVy/fp3t27fz119/0bFjR8zMzNDR0cHR0ZEcOXKQP39+goODsbKyIjU1ldq1a3P//n0WLVrEuHHj+O233zAyMlISZDdp0oQFCxbg4ODAmjVrSE1NJTY2lsjISHbs2EFgYCDZs2fH39+fQYMGsWPHDszNzT8pwCJ9HdbW1uzbt4/evXuzefNm6tatS48ePXj27Fm65RITE9m6dSuurq5MmjQJZ2dnDh8+TL9+/TKMpJucnMymTZuwt7fH39+f9evXK/eR/6J/BrcePHhAoUKFlH/r6Oigp6enPFDt3LmT3r17c/bsWUqWLPm9iyv9REqUKMGOHTsYMWIEu3fvxtra+ou2FxMTg5eXF+3bt1em9e7dGy0tLWbPnp1h+UaNGpGYmMiTJ0+Uab6+vjRs2JDHjx+zb98+PDw8vnhUxXeZm5uzdu1aunXrxsOHD7/adqX/HgsLC4KDgzE2NsbGxoYRI0Zw5coVZX5AQADh4eHcv38fHx+fTFvaTJw4kVGjRinpLlasWMHFixdp1aoVurq6ZM+enUOHDjF27Fjs7OxYvnw5lpaWuLu7M3jwYBo3bszKlSsJCwtTtqmpqUnhwoVxd3enTp06bNy4ET09PZKSkujWrRs9e/akRIkSHDx4EC8vLwoUKACAsbExXbp0QUdHh2HDhtGjRw969uxJ+/btOXz4MIcPH6ZevXq0a9eO0aNHo66uzooVK+jUqZPSPdLAwIAyZcpw/vz5b/ztS9Knkzm3pHTu3r1L0aJFM0wvWLAgpqamXLp06aP5D/r27UvDhg2pV68eV69e5cSJE8obuLx58zJ27FhsbW2ZNm0aHh4eBAUF0ahRIy5duoSVlRWLFy/m3LlztGzZEl1dXYYOHZqhsjNnzhwcHBzeOxLW5MmTcXZ2pnLlytSuXZvTp09ja2v70eN//fo1fn5++Pn54e/vT2RkJNmzZ6dcuXL4+vrSpEkTpk6dyoABA9i4cSPdunX76DalH69jx460bNmSnTt3MnDgQOzt7dm0aRONGzdm1KhR7Nu3j4sXL+Lq6srq1avx8/Ojd+/epKamcv/+fXLmzEnTpk2ZO3cuAH/++ScODg4sWbKECRMmMH36dPLnz09AQACnTp3C39+fcePGMXr0aBo3bkyfPn0YMWKEch04Oztz/PhxEhMTWbp0KSdPnuTNmzd07tyZbNmy0bRpU4YMGcKmTZswMzP7pUZ809DQYM2aNTRr1owcOXIwefJkWrduzaNHj3jx4gXZs2fn1q1bmJqa0rdvX3R0dAgLC2PLli3UqVMHeNsVOl++fOzbtw8NDQ309fXx9vZGTU0Nb29vEhMTyZMnD25ubhw+fBgXFxcKFy7MypUrUVNTY/fu3djZ2eHo6EhgYOAP/kb+O+7cuYOWlhZXrlzB1NSUsLAwVq9ezZYtWyhTpgzu7u7cvXuXmzdv0qRJE9auXYuRkVGm24qPj2f16tVs27YNNzc3vL2907Xe/a/KrOXWuzmMbt++TatWrdiwYQNqamo8fvyYZcuWsWfPHtmC8T/u6NGjtG/fnjx58mBqasq5c+do0KDBZ20rJiYGFxcXypUrh5eXV7our+PGjaNPnz6sXbuWDh06KOuUKFGCiIgIfH19KVeuHOPGjaNo0aJs3rw5XeuWr83CwoI///yTTp06sXr1avLnz//N9iX9e1WsWJErV65gYWGBpqYma9eupVWrVvTu3ZsNGzagrq5O3759CQ4OzjTYExQURGhoqPJ7nSNHDqZOnUrp0qXJkSMHcXFxlClTBl9fXwYPHoyenh6xsbH4+/tTsmRJypYtS0pKCidPnmThwoWoVCrKli1LQEAACQkJxMfHkydPHtq1a8etW7cIDw+nW7du5M+fH3V1dc6dO4e6ujoaGhpoaGiQmprK0KFD6dWrF+XKlaNevXrcv3+fGTNmEBgYSEpKCu3atWPatGlUr15dqVu92x0T3ga0hw0bRrVq1b7L/8NPIW3Ylu+xHynLZHDrF5KWCPRbJoaNiop6b7/e4cOH06NHD7Zv305KSgqpqanv/bNLly7Y2dnRrl07OnfuTI0aNbh//z6PHj0iPDychIQEoqKiMDQ0pHXr1sybN48BAwbQoEEDChcuTNWqVenTpw/Dhw9n0aJFWFpaKjl3IiIiCAwMZOrUqe89Dl1dXaZPn07fvn0ZOXIky5YtyxDcCg0Nxc/Pj6tXr3Lt2jViYmLImTMnFSpUoGrVqnh6epItWzZSUlLo2bMnzs7O7N27l7Fjx3Lt2jXi4+OVrm5pyfCln0ta9wcDAwOeP39O1apVsbe3Jzk5GX19fZKTk2nevDnt2rWjVatWSsvBW7dukZKSQq5cuXBzc6NZs2aMGDGClJQU9u3bR2JiopLLS0dHh8TEREJCQlBXV2fy5Mk8ffqUiIgIxo0bR506dVi1ahWrVq1SynP9+nVev35N9erVWbNmDeHh4Tx+/JjQ0FCaNm3KxIkTGTx4MJ07d0ZLSytDNw51dXWyZctG9uzZMTIySvdnZtM+N7H359LT02P9+vW0bNmS5cuX8/r1a5YtW0br1q1JSEhAQ0ODtm3bMnjwYOzt7SldujTFixfn8uXLCCEwNjZWfme0tbUxMjJCTU2NO3fuEBoaSmpqKm5ubixYsIBhw4Zx48YNcufOjYODAzY2NrRs2ZI8efJw4sQJtLS0OH/+PGXKlJEP99/Y0qVLUVNTo02bNvTp04cWLVpw/vx5EhISOH/+PFevXiVPnjy0adMGFxeXTANbERERLFmyhCNHjuDh4cHBgwfR1NT8AUfzcwoLC/tgt8TExETGjBnD5s2bgbetKVNTU1m0aBENGzb8zqWVfhZCCP744w927tzJwoULad68ORMnTqRGjRqfFTQ+ceIE5cqVY/bs2YwdO5aAgAAqVaoEvD3n5s2bh4eHB8bGxjg7OxMTE4Obmxuurq54eXlRq1Yt5s+fT758+b72oWaqQIECrFy5ko4dO7JkyRLCw8PlIAtSllSsWJGdO3fSpEkTVCoVOjo6VKxYka5du7Jo0SLOnz9P69atKVCgAG5ubuTIkYPo6GgMDAwA8PLyYuzYscr2duzYwciRI9HQ0CAgIID27dszf/58Ro0aRalSpShZsiTz5s2jT58+lClThuTkZFJSUqhUqZJyT122bBkJCQkYGRnh4eHB6tWradKkCb169WLr1q08evSI6OhoZd3k5GTl73v37iVfvnxcvHiRc+fOkZycTFRUFGfPnkVfX5/69eszZcoUfv/9dwICAjh37hxdu3bN0NggX758qKurZ7gXSdKPIoNbv4iYmBicnZ0pX748+/fvx9LSEg0Njc/KSfChMQQuX75M48aNM52nUqm4c+cOtra26OjokCNHDrS0tJQfuri4OKKiooiKiuLZs2c4OTkxb948evfuzerVq8mdOzc5c+bE2tqa/PnzKwnfd+3ahb6+PgcOHGDChAnUrVuXixcvMnLkSExNTYmMjKRhw4ZUrlyZUaNGsWbNGnR0dChduvQHj9PGxoYSJUoorbB8fHzw9/fn+vXrxMXFYWpqSoUKFahbty79+vVTbkDvSkxMpHPnzjg6OtK2bVu6detGQEAAQ4cORV9fn5s3b9KzZ0+qVKnCoEGD0NHRycL/hPQ9qFQqpk2bpuQA8vLy4ujRoxQoUAATExNKlSrFwYMHCQgIYM6cObi5udGiRQvlxh8VFUWfPn2Ij4/njz/+wNzcHDU1NTQ0NBgyZAiampro6OhgaWmJEAJvb2/y5MnDyZMn8ff35+jRo2zbtg1tbW1SUlJwc3MjKSkJZ2dnIiIiMDAw4PXr1zRs2JCgoCBu377N77//zr59+zh+/Dh58uTJcEwpKSlERkYSHh5OREREuj9DQkIyTE9ISMiwDT09vUwDYZkFywwMDLL8W5MzZ05Wr16Nm5sblSpVIjY2FjU1NW7fvk3Xrl3ZtGkTx44dw8TEBF9fX6ZOnUq/fv3Q09Pj9OnTtG/fnl27dlG8eHHu3buHpaUlr169Ql1dHTU1NXbt2oVKpeL48eNcuHABAwMDhBD4+fmxZcsWXr16haWlJWFhYezbt4/Ro0fLhNrfUHR0NDdu3MDY2BhbW1sCAgLImzcvGhoaJCYm4uLiwo0bN1BXV2f79u0cPXqU3Llz4+HhgZOTE2/evGHevHn4+/vj6enJkCFDfqkWi99LeHg4lpaWyr/fHQ341atX5MyZE3Nzc4yMjIiJiVG+/2PHjiGE+OI8RtKvydvbGzs7O1QqFWvXrqV58+YkJCQwZswYZs6cmaVtXbhwgenTpyOEYMCAAdy8eTPDaLTq6uqsWrWKli1bKi9YKlasyNSpU5UWId8rsJWmUKFCTJw4EScnJ9zd3RkxYoS8J0ifrFSpUowfPx4hBM+fP8fJyYnevXszZMgQWrduTVhYGDNnzkSlUuHl5UWPHj148eIFBgYG+Pv7o6WlRXJyMhMnTmTLli28fv0aCwsLEhMTWb16NR4eHmhqanL06FFsbW25c+cO586dw9zcnMuXL/Py5UtSU98mYXr+/DmhoaGUKVOGoKAgXFxclJ4FhQoV4rfffiMmJoayZctm2mtl0aJFuLq6Mnr0aGXakSNHmDp1Knv27MHS0hJXV1f69evHzp07OXHiBNra2hw/fjzT76ZPnz7Mnz8/0+7IkvS9yeDWL+L27dvUqFGDiRMnYmBggIuLi/KW7Gt5+vQpEydOZMmSJe9d5vHjx9ja2uLm5sbevXuVN8hqamqYmZlRrFgxLCws8PX1Zffu3WhoaLBnzx6MjY3R09PDxMSEEiVKkDdvXl6+fEloaCiFCxfG39+f/Pnz4+npiampKRoaGoSGhmJsbEy2bNmwtrbm+vXrODg40KRJE+Lj45k2bRp16tShfPnySlBJCMHTp0+VFlk3btxg/vz5GBsbc+HCBVxcXJTmvh8TFxdHu3bt8PDwUAJ++vr66b730qVL4+3tzc6dO2nUqBF9+/bF1dVVPkD8JOLj4/H29iYpKYmYmBhu3LjB33//TdmyZbGzs8PW1lZpdbd7926aNGmCvb09c+bMQUNDg2vXrpEtWzZ0dHQwNTXl5cuX5MyZk2HDhrFhwwauXbtG/vz5uXXrFmFhYbi4uPD8+XPi4+MxNDSkW7duZMuWjfr161O2bFm2bt1KUlISkyZNwszMjFWrVlG0aFEmTZqEp6cnW7duRV9fn4CAABo0aEC7du1YunRphqTZ6urq5MiR47O7cgghiIuLyxAYi4iIIDg4WMkdkTY9Ojr6k1qPZRYcs7Cw4OjRo+jo6HDv3j3y5s3Lxo0bCQsLU4LX+vr6jB49GhsbGwICAmjatCnz589HCMGKFSuU/cXExJArVy5SU1MJDg5m7dq1uLu7Kw8naSNelitXjpUrVxIREYGbmxsTJ07M0LpA+npiYmKYMmUK2traPHv2jKFDh2JlZUW3bt2YP38+EydOZO3atbRr145jx44RHx+PhoYGz549448//qBXr14YGBjg5eXFpEmT5O/nB/yzW+K7/P39KV++PABNmzblzz//JCYmhmzZshEeHs7KlStp06aNfJj/jxFCsHjxYnbu3ImPjw8ODg6MHz8elUrF+fPnuXnz5kdfFqZZtWoV+/btY8+ePWhoaODk5KS8oPwnLS0t1q9fT/PmzSlSpAj79u1DpVLh7e2d7qH6e9m/fz9jxoxRWo/Je4KUFVpaWoSFhSkjIvr6+irPEqNGjaJ9+/ZcuXKFSpUqUatWLXLlysXkyZNp2bIlvXr1ImfOnEyaNInAwEBevnyJhYUFVlZWhIaGMmDAAF6+fImfnx/Zs2enZ8+eWFtb4+TkRLNmzciTJw8mJiYkJyczePBgrK2tlQETnJycOHjwIGPGjOH8+fPKQEj58uVLl98uzeHDh7l48aKSGzkpKYnRo0cTERGBj4+Pckze3t5K+VevXk1CQgJr1qyhc+fOGbZZuXJlvLy80r1s+TdTibef77EfKetkcOsXYW1tzYABA+jfvz9Xrlxh2LBhX30f70sm/67nz5/TqFEjZsyYQWpqKomJiemS2QK8ePGC4OBgXr58yaNHj2jXrh2bNm0iJCQEExMTzp8/z4MHDwgJCcHc3JykpCQqVaqEkZERtra2rF27lsjISLp3746uri5RUVFER0eTkpKCpaUl8+bNQ01NjQcPHvDixQv69+/P69evEUKQLVs2SpQoQe3atWncuDEjRozg8ePHdO7cGW1t7XS5Sd4nLaH3tGnTGDJkCHZ2dh9cXqVS0axZMxwdHZkxYwarV69mypQplChR4uNfuvTNxMTEMGPGDCpVqsSePXsoVqwYbdq0ISoqir59+2JqaoqJiYmyfJUqVTAwMGDfvn0kJyezd+9eXFxcmDRpEpUrV+bx48ckJCQoLRQ1NDSwtrbG398fDQ0NSpYsyV9//YWpqSkPHjzAxcUFPT09LC0tKVKkCBs3bsTc3JwpU6awbNkyrK2tWb16NYaGhjRt2pR58+ZhamoKoFS2ixYtSufOnfn9998/eh5mhUqlQk9PDz09vUxbhn2K5ORkIiMjMw2QpXXL/Pvvvzl69CidO3dmzpw5JCUlsXXrVqpVq0ZwcDDh4eHs3r2b3LlzY2ZmRmJiIi9fvsTHxwdNTU12795NQkICKpVK+Y7//vtv4uLi0NTUJGfOnBQuXJhevXqxcOFCHj9+zNixY9m7dy9RUVHo6ekpuYauXLmSoXWB9OViYmJwdXWlVKlSPHjwgNy5c7Njx450LxBGjRqFiYkJixcvpm7dulhZWfHnn38SEhKCtrY25ubmlC1blj179rB582batm2Lq6vrd+9O+yt4N7gVFxeXrrWwv78/VapUAaBXr14sX75cCWRbWFhw69YtXF1dZWuV/5g9e/Zga2tLYmIif/zxB2/evGHkyJFcvHiRJUuW0KdPH/bt2/fBlpJJSUkMGjSIbNmysXXrVqXFfs2aNXn48OF7X7Roa2tjZmbG7t27qVixIk2bNmX79u3cunWLunXrfovDzeDVq1cMGjSI3Llzc+DAAVxcXBg2bBhXr16V9wTpk8TExDBp0iSCg4MZP348s2bNSnePO3r0KEuWLGH06NGMHz8eKysrXrx4QZkyZejWrRvR0dHkzZuX/fv3Y25uztSpUylXrhx58uRh8eLF3L9/nxIlSrB+/XoAbt26Re3atenUqRPlypUD4MmTJ3Tr1g1PT08CAwNZuHAho0ePplWrVkqdc9iwYaxcuZJFixahUqkyBK3v3LnD7NmzlZbvDx48wNPTky5dutCiRYt0y+rr6zNkyBA8PDwoWLAg+vr6TJo0icWLF7N//36lvpqmS5curFy5kgEDBnyD/wFJ+nQyuPWL0NfXZ8SIEWzYsIHKlSt/k4rppwS3rK2tOXToEP379+fw4cPUr1+fLl26KLlThBC4uroya9YsWrVqxcCBA6lZsyYTJ05k5syZbNu2DX19fZycnNi6dSuenp74+Piwbt06pk+fjqOjI1ZWVgwfPpx8+fIpb5mjo6Nxc3Pj6NGj9O7dm3379qGpqUlcXBwNGjSgR48e6Ovrc/XqVS5cuMCePXs4evQolSpVomrVqri6urJy5UocHBywsrJCTU2N2NhY4uLi0n3evHnDtGnTqFGjBlFRUZ8UDEujp6fH2LFjefToESNGjMDU1JSxY8e+9y279G3dvn0bBwcHvLy8UFdXx8jIiNKlSzN69Gh27drFmzdvCA0NJTExURnpsGzZspQsWZLNmzcTGxvLhQsXsLOzo1atWvj4+CgjJS5fvhw1NTWePHlCjhw5iIqK4syZM5QsWZKgoCCEEBQtWpQKFSpw//59/vrrL/T09Hj58iXHjh1j5cqVmJqaIoRQKiuZvTnPly+fMnpoQEAAvXv3/mlatWhoaGBsbJxudLv/Y++943r6////a5MU2aOyZyEySkYIoamUrLIzQ8sme8smZEuSkbaszMhoqfSyipCm0rOhcX5/+HW+rz54Ta/h9e56uTwvXq9n5zzOep5zHo/7436/3crKyrh//z7nz5/n0aNHVK1aFWtray5evIiTkxN+fn6kp6dz/fp16taty7t372jSpAmKiopIJBKys7NRUFBg3bp1rFixgrS0NKSlpalWrRoSiYSqVasiIyNDVlYWKioqmJiY8ODBA0pKSqhVqxYKCgoMGzYMd3d3Jk+eTGFhIXPnzhVtrCsH9N+f8qziFStWIC0tjby8/FczY6dOnUrNmjVZtWoVPj4+9O7dm4YNG1KrVi3evXtHtWrVSE1NpVmzZvz0008YGxvTuXNnJk+e/FWTk/9Vfh7cSk5OrqBxEhUVxdSpUwFo1aoVCgoKVK1alQ8fPmBubs62bdsqs1X+xxAEgd27d+Pt7c348ePZunUrKSkpXLlyRXwmmpiYsG/fPqZPn/7VNtLT05kwYQLjx4/H0tKywt+0tLQqZAz+nJycHMaNG8eYMWNISUkhLS2NJk2a0Lt3b06fPv2XB7cEQeDUqVMcPHiQ9evX061bNwBOnjzJnDlzKt8JlfwqgiBw5swZ3N3dcXJyonXr1qSlpSEnJ0dxcbGoB3n37l2WLVsm6rrm5uZiamrKxo0bAbh48SKRkZF07tyZ6tWr4+PjQ3h4OG3btiUrK4tbt27h6Ogobvf169fMnj2bwMBAbt26hZ6eHlu3bsXd3Z1Dhw5x7NgxfHx86NGjBzdu3KBnz57iM33mzJn4+/szc+ZM7O3tadu2LRMnTiQrK4sZM2bg6emJgoIC3t7eHDlyBHd3929qZdWsWZOkpCTmzJlDu3btWLFiBV26dKFdu3YsXLgQZ2dnsU9qZmaGgYEB9vb2opvifxZB6vPn79hOJb+b//iv779FWVkZffv25cyZM3+JdkZiYiKDBw/+xWWkpaXR0NBAEAQWLlyIqqoqw4cPZ+zYsdja2uLj40PPnj3Jz8+natWq5OTkiOvNmzeP/v37M2PGDNzd3enevTvm5ua4uLgwffp0bt++jaenJ7dv36ZRo0Y8fvwYLS0tqlSpQnJyMq1ataJKlSqcOnWKgoICpk+fTkFBAbGxsZiZmVGnTh3U1NSQl5dHVlaWgoICLly4wNGjR8nMzEROTg4vLy8uXryIlpYWysrKKCgoiJ+srCy8vb2xsLD4qkjqb6Vp06Z4enoSFhaGpaUlo0aNYsKECZX6MX8z7du3Z9GiRSxZsoTg4GDat2+PtLQ0Dg4OyMnJsXr1auBz52XixIkcPXqUAQMGkJ6eLuoAPXnyBEVFRd68eYOsrCy1atXC0NCQCxcuIJFIUFJSoqysTBSe9/X1ZcGCBbRs2ZKxY8dSr149bty4QWpqKubm5owcOZJDhw6Jg//Nmzejrq6OsbHxN4+jWrVqHD9+nHXr1jFt2jR27tz5r8po+fTpE9evX+f8+fM8f/4cbW1trKysWLduHTY2NvTr149GjRoxZMgQHjx4wMSJEzl48CDJycnIyMhgaWnJhQsXUFJSIi8vj48fPzJz5kykpaWRkpKiWbNmFBQUkJmZya1bt5CXl6dKlSoUFBSwf/9+SktLUVVVZdq0abx7946dO3cyZMgQSkpK0NDQwMbGhrVr11YOYv4i2rdvz+zZs8nKyuLKlSucPHnyi2UEQSA4OJhjx47Rtm1b3rx5Q1paGgcOHCAmJoZdu3aJ17RZs2bcu3ePJk2aoK2tzaZNm0hNTWXUqFFYWFj8z+sa/jy49X8FfHNyciqI9Ldr147ExEQUFBQ4f/48giCQkJBQma3yP4S/vz/9+/dnxYoVjB49mi5dutC2bVuOHj0qPhOnTp2KkZERw4YN+yKTNyoqCkdHR7Zt24ampuYX7Xfu3Jnt27d/8X15xvzq1atJS0tDT08PKysrxo4di4ODA05OTn/NAf//vH79GgcHB7S0tAgODq5gStGiRQtKS0sr3wmV/CJxcXEsXLgQXV1dgoKCqFKlCrGxsZw4cUKckKtZsyYvXrygadOm5ObmsmDBAjp27Mjz588JDQ2lqKgIPz8/ysrKiI2NpWnTpsDnd+Lbt2958uQJjx49Ijs7m2PHjhEaGoqCggIxMTHMmTOHoUOHsn79ejw9PfHz88PZ2VmcxFdVVQXg5s2botM0fJZwWLRoEf7+/mhpaZGXl4eRkREFBQW4ublRo0YN7OzsqFevHn5+fr9o2JKXl4eUlBQSiYSePXuyevVqFi9eTFhYGGPHjuXw4cP4+/vTsmVLZGRkMDU1xdfX94sgeCWV/J1UjrZ/IMoH0127duXRo0ffvf3f4nSRnp5Oo0aNWL9+PUeOHEFPT4/g4GByc3MxMDBg8+bNODo6EhUVRd26dcnKyqqwvqamJqWlpTRs2BANDQ2mT5+OiYkJVapU4eTJkzx9+hQlJSX69u3Ltm3bGDJkCJmZmSxdulR0GRkyZAhqampUq1YNZ2dnTp8+TXx8PMuXL0daWhp1dXXc3d0JDAzkzp07xMfHM2TIECwsLNi2bRumpqbMnTuXvXv34ubmJmZ2pKSkkJ+fz9WrV3F1deX27dtoaGj84fPZr18/QkJCKCwsZOjQody5c+cPt1XJ70dRUZELFy5gZmbGxIkTGThwoJiV5e7uLmpIbdmyhQ4dOjB06FDk5eVRVVWlX79+tGjRgmXLlpGRkYGqqioZGRmiQ5+5uTmCINCuXTs0NDSwtrZm586dmJmZsWzZMsaPH0+DBg1Ek4L169cjCAKvXr1iwYIFWFlZ4eXlxdOnTyvM1n0LKSkpFi1ahKGhIcOGDSMtLe0vPXe/Rl5eHmfPnsXW1hZzc3OioqJwcHDg4sWLrFq1iq5du4qBKk9PT5ydnenduzcbNmzg9evXBAQE0KtXL6SkpPD29iY/P5/c3FyKi4uRl5fn0KFD6OnpUa9ePaSlpcnLy+PTp098/PiRqlWrMmXKFKpVq4aOjg67du0iPz+fV69e0aVLF7p168bLly+Rl5dnypQpNGrUiHfv3v2j5+u/jKKiIt26dWP//v1ieWE5JSUleHl5YWBgQGRkJCdOnODs2bNs2LABKSkppk6dSq1atTh//jwSiYTmzZuTmZlJYWEhAwcOJCAgAIlEgrOzM3l5eZiZmeHg4EB8fPw/eMT/LIWFhWKA7+fvbIlE8sVg3cjIiLKyMhQUFHjz5g179uzB3d29clD/P0J51paysjKKiopYW1sDn+/ZgoICSktLgc+D4Y0bN+Ls7Fxh/VOnTrFs2TJ8fHy+GtiCz+LVL1++rPDdgwcPmDBhAgcOHKBLly5s374dJycn1NXVWbNmDbt37yYtLY179+4hkUi+6zGXlZXh7u6OnZ0dq1atYvHixV8dvFevXp3c3Nzvuu1KfmzKJUnevn2Lo6Mja9euZffu3SxcuJAqVaoAoK6uTkJCgjgZB3Du3Dnq1auHhYUFY8aMYdGiRaipqfH69Ws8PDzo1KkTOjo6ZGRkiNuSkpJCVVWVAQMGUK9ePVq3bs2GDRsICAjAxcWFjh07Iisry/jx43n79i1qamqYmZnRtGlTWrVqVaEiJCIi4otJ+P79+/Pu3TtRhqN27doUFhbi4eGBiYkJ1tbWrFmz5lediHfv3s3ixYsJDg4GPktmbNy4EUdHRy5fvszUqVPR0dHBxcWFsrIyJk6cyKFDh77H5aikkj9MZXDrB6K88zpixAhOnz793dsvLS39wuL1/5KRkUG9evVQUFDA0tKSEydOICcnx+zZs2nTpg3169dnxowZ3Llzhw4dOpCVlUV+fj6RkZF4enrSq1cvnj9/TqtWrbh//z4vXrxATU2N8PBwBg8eTEFBAVJSUty4cQNHR0dCQkJo1qwZQ4cORV9fH3l5efr06cPy5cvx9vamadOmYmmLpaUlQUFBYvBq8uTJJCQkEBQUxJUrVwgJCcHR0ZHQ0FB2795NXl4e27dvZ+zYsfTr1483b96gpKTE6dOnMTY2/i4p67KyssycOZOTJ0/i6ekpvqgq+XsoNwBwcXEhODgYLS0tfHx8KCoqYuTIkZw7d474+PgvAkyvX7+mSZMmLFq0CFlZWR48eEBhYSHnz5/H3t4ef39/wsLCuHXrFiEhIdy/f5/Zs2cTFhZG8+bNUVFREQNhw4YNY82aNbx48YLnz5+zbds2TExMmD17NqtWrfpdGZhmZmZs3LgRa2troqKivvPZ+mUyMjI4fPgwlpaW2NjYkJGRwYYNGwgMDMTFxYXWrVtXWP78+fO0adMGHR0dsSPWo0cPatasyf379wFo27YtqqqqzJo1i4YNGwKfRVvnzZvHvXv3yMvLIzk5merVq4vt/jzAGBsby5IlSygrK8PX15eVK1fy7NkzPn36hK2tLZ6enhQVFYmDuEr+Gm7fvk3t2rVRUVFBSkqKwsJC3N3dGTx4MJmZmVy4cIHFixeLujx9+/Zl06ZNotD1yZMn2bNnD+PHjyciIgIzMzOuXbtGWVkZM2bM4MyZMwQFBbFgwQJsbGzYtWsXhoaGHD16lPz8/H/46P85Xr58KWpexsTEfBGAMDc3R0ZGhpKSEhQVFREEgStXrvwTu1rJP0BAQADNmjXj2rVrrFq1qsLfNDU1iY2NrfD/jRs35uzZs4SHh+Pg4MD9+/c5d+4cderU+eY2pKWlEQRBdHHz9fVlxYoVnDlzhubNm+Pu7s64cePEvpS2tjZTp05FUVERPz8/zMzMvluA66effsLExISSkhICAwN/Ufe0W7duPHz48Ltst5Ifn3LtyDNnztC3b1/69u2Lp6fnF46esrKylJWViXIpb968ER0C3d3dOX78OEuXLhX7ROVVLvv27WPevHlffV9FRkYiCIIo8XDgwAGsrKw4deoUu3btom/fvsjIyDB27Fi2bdtG7969xQmekpISSktLxeDbz1m7di1Pnjxhx44daGhoMGbMGFHGQUFB4VfPycePH7ly5QqWlpY0btyYZ8+eAf8vW3PUqFFYWVmRkJDArVu3aNWqFU+fPkVdXZ179+79vgvwg1EuKP93fCr5AwiV/DBs375dCA0NFcrKyoSBAwcKZWVl363t/Px8wcLC4leXCwkJEXbs2CEIgiAUFRUJ+vr6QlFRkRAbGytYWloKERERwvLlywU5OTmhYcOGQqtWrQRLS0thyZIlgpOTk9C+fXvh1KlTYntPnz4VDAwMhNOnTwtDhgwRZGVlBU1NTcHb21uoWbOm8PbtWyEtLU0YMGCAsGHDBmHy5MnC6dOnhaKiIqFNmzbChQsXvrmv8fHxwvDhw4WaNWsKNjY2wuDBgwV9fX3h9evXwpo1a4TatWsLW7duFSIiIoSBAwcK06ZNE7S1tf/8yfwFoqKiBCMjI2H9+vVCYWHhX7qtSiqSlJQkDBkyRCgpKRHevHkjdO3aVahdu7YQHBwslJSUCH5+fsKgQYOEWrVqCYqKikLdunUFKSkpYe7cuUKTJk0EOTk5ARAAQUNDQ0hLSxPbDg8PFxo2bCjo6uoKenp6QtWqVQVVVVXB0dFR6NGjh7B9+3ahdevWQt26dYVGjRoJcnJywrBhwwQdHR0hNTX1dx9LRkaGYGxsLJw+ffp7nqIvePnypbB161bByMhIGDVqlHDy5Enhw4cPv2ldMzMzYeDAgUJWVpaQlZUlhIeHC0eOHBFMTU0FeXl5oW/fvkL79u2FWbNmCYIgCDNnzhQaN24sVKlSRQAEVVVVYdasWYKqqqogIyMjWFpaCq1btxYaN24szJw5U1BTUxNatWoljBo1Shg6dKhQv359QUpKSgDENpctWyZEREQIxsbGf9k5+l8nLy9PUFRUFDp27Cjs2rVLWL9+vTBgwADh2LFjwqdPn35x3cePHwv9+vUTnJychBkzZgifPn0SCgsLheXLlwtWVlbClStXBCsrK8HJyUl48uSJsHjxYmHw4MHC+fPnhdzcXOHQoUPC0KFDhZkzZwpRUVF/0xH/s5iYmIj/PWLECOHjx4+CIAjC7t27hYCAgC+Wr1u3rlC9enWhdevWAiBoa2sL9+7dE/Ly8v62fa7k76esrEzQ09MT9PT0hJycnC/+HhQUJGzdurXCd2lpaUKrVq0ER0dHoVu3br/5NzJ79mzhp59+Etzc3IRJkyYJRUVFgiAIQmZmpjBo0CChtLRUXDYjI0OYNWuWYG9vLwiCICxZskSIiIj4g0f5mU+fPgnr1q0Thg0bJiQlJf2mdcLCwoT169f/qe1W8t/h3r17woIFCwRBEAR7e3uhdu3agoqKiqCuri7o6uoKNjY2wvLly4X9+/cLpqamwqhRowR7e3uhX79+woABA4Tp06cL1tbWQnR0tJCTkyOYmZkJrVu3FmxtbYUhQ4YI4eHhQmhoqDB9+vQK233x4oUwfvx4oUWLFsLLly+F1NRUoVOnToKJiYkwc+ZMwdTUVLh+/bqQl5cnDBgwQHBxcRG6d+8u3pv3798XFi9e/M3jUlNTEzQ1NQVzc3PBzc1NKC0tFbKysoSpU6cKM2bM+MX+3Jo1awQ/Pz9BEAThxo0bwvLlyyv8PTExUejfv7+QnJwsCIIgHDp0SKhfv75gZWUlDB8+/D/5nsnJyREAQSv8ndAtVvKXf7TC3wnAV5/hlXybSs2tH4jyzC0pKSlx1qlcIPPP8uzZsy8yL75Geno61apVIzw8nPj4eOTk5OjWrRvv379HR0eHoKAgNDQ0qFOnDpMmTeLIkSPY2dmhoaGBpaUl7du3F1Pj4bPorb+/P3PnzuXevXvUq1ePt2/fMm/ePPT19SktLaVRo0acOHGCjh07Mm7cOOrUqYO8vDwDBw5kw4YNmJiYfDX7pU6dOmRkZNCqVSvq1atHSEgIhoaGDB8+HD09PUJDQ7Gzs8Pb25sTJ04wbtw4DA0Nv8v5/BadOnXC39+f06dPM3ToUBwdHTEyMvrXiIT/l2natCkjRoxg06ZNjB07lmfPntG1a1csLCwoKiqiWrVqtGnThqVLl2JkZESNGjXo3LkzysrKFBYWAogOfampqQwZMoSrV6+irKzM+fPnqV69ulhCp6ioyLt374iPj6datWrY29szY8YMDhw4wLx582jUqJFYyqGhoUGPHj3o27cvenp6dOnS5Vc1terUqcO5c+dwcnLi8ePHuLq6fhdNN0EQePz4MefPn+fOnTs0btyYYcOGMW3atF/VOiouLubly5ckJiYSERHB/fv3UVBQYOzYsdSqVYvWrVsTGRmJoqIiBw8eZMOGDWhqahIQEAB8Flwt18srKioSM7QEQeD27ds0adKEuLg4rK2tOXToENnZ2bRu3Zpr166hpqZG3bp1adWqFQUFBQQEBCArK0tUVBTz5s1DQUGB/Pz8rwqdV/LHkUgkmJqaMmHCBNHp0MXFBRcXl9/0e2zfvj0HDx5k8uTJmJubM3z4cA4fPoyrqysJCQk4OzszdOhQ1NXVmT17NgYGBhw/fpwjR46wa9cubGxsuHDhAomJiRw4cIDExEQsLS0ZOXKkWBL8X0MQ/t9UbrlUAXye/R82bNgXyysqKlKnTh3y8/ORlZXlzZs3BAUFsWjRokpB7f8oEomEnTt38vr1a0JDQ6lRo8YXy/Tq1YtDhw4xd+5c8buXL19ibGzMli1bWLZs2a9qjkokEuLi4mjbti329vbo6elx4MABsT9Trs8jLS1NVFQUu3btIiMjg969e3Po0CHmzJmDr68v+vr6f/hYIyMjmTdvHra2tpw7d+4396W6du3Krl27/vB2K/lvUbt2bc6dO0dBQQFXrlzh1atXFBcXExUVxaNHjwgPDyc0NJTS0lKys7NJTk6mUaNGfPz4kdLSUoqLi6lbty6LFy8mPj6e5s2bM3LkSB4+fMiRI0eYMGECy5YtQ0FBAT8/P0xNTQHw9vZm9OjRXLx4kfj4eJycnJCSkqKkpIT+/fujoaFBfn4+jx49YtasWcTHx5Obm8vBgwcpLS3l0qVL1KhRg7lz5yKRSMjPz0cikVBWVsaHDx+Az5nSwcHBFBUVERYWJh5z+fioefPmYua8lJQUgiBQUlLCgwcP0NXVFV137927R3R0NDIyMkhLSyMjI0ONGjXQ1tamd+/eKCsrY2BgwOXLl5GVleX8+fP/2ffM35VVVZm59ceoDG79QPxcU6M8ZfV7Bbeio6ORk5OrsI2srCzi4+PFz4sXL3j27BkNGzZkwIABaGho4ObmhpWVFbNnz2bx4sXA50Guvb098+bNIzExkdDQUMaNG4eKispXhUfl5eVJTk7m06dPVKtWjaZNm2JjY4OXlxdTp07l5MmTyMjIoKury5kzZ8SO0LRp05g4cSLXr1//wnWnqKiI8ePH061bN7p27SqWGd67d4/09HSmTJlCSkoKDRs2RFZWFgcHBxo1aoS5ufl3OZ+/hJSUFNbW1hgbG7NhwwYOHTrEunXrUFNTIy4ujvbt2//nXgT/FsaPH8/w4cPZt28fNjY2+Pr60r17d/r16ye6gI4cORKAbdu2MX36dPbv309BQQGamppERUUxa9Ysjh49yqtXr+jTpw9Hjhzh8OHD1K9fn7lz52JjY0P37t1p3rw5d+/epXr16vj7+2NiYkJ4eDheXl48efKEPXv2ICUlJeoMtWjRgosXL7J27VoEQaBbt27o6emho6Pz1aCMnJwcO3bsYP/+/YwePRoPD48/NKAvLS3l7t27nD9/nujoaDp27Ii5uTmLFy/+aplyRkYGiYmJ4ufp06cUFRUhJydH8+bNadu2LZmZmdSrV4/Lly9Tt25dMjIymDRpEubm5mRmZnLixAnatGmDnZ2dGJiQlZVFSUkJeXl5atasyYULF4DPpTXJycnExcVRtWpVHj9+jJKSEoWFhbx//x4bGxu8vb3x9/fH2dmZpKQkBgwYgKqqKnXr1kVRURE1NTVSUlIqXfe+M3FxcfTo0YM1a9YgJSXF2LFj0dbW/l1ttGjRghMnTmBjY4OdnR1WVlbs2rULDQ0N/P39OXDgAJs3b2bjxo0kJCRgbW3N5MmT8fPz48SJEwwZMgQzMzPWrl2LtLQ0Z8+eZeTIkaiqqjJlyhS6du36n5k8+Hlg6//y9u3bL8TAARo1akTt2rWJiIigWrVqWFhYsHz58krXxP8oEokEY2NjNDU1UVZW5vXr16SlpSEIglg+WP5vcnIyoaGhSElJUVZWRk5OjugKHBAQgJqaGm/evPliPUEQyM/PZ+/evQwaNAgfHx/atGnDokWLxP14+vQpKSkppKamYmhoSKtWrXBxcaFNmzYYGxvj5+dHQkKCOMk4e/bs3+UGXFBQwMqVK3n9+jUnTpygQYMGv+s8KSkpfXe9r0p+TMrKynB2dubkyZM4Ozujo6NDdHQ0PXv2pF+/fuL4oqioiFWrVhESEkLVqlUpLCxEEAR0dHRo3rw5N27cYNCgQbx48YLHjx8jJyfH3bt30dPTo6CggP79+1OtWjV2796NiooKSkpKJCcni2ZHISEh5OXl0apVKxo2bMi1a9e4d+8eioqKVKtWDUVFRVRUVDAzMyM8PBw7OzsCAgJwcHCgfv36VKtWTfxcvHiRkSNHMmXKFLZs2cLChQuxsLD44nlfVFTEunXrSEhIYMuWLaipqQGwatUqZs6ciZGREfD53bNo0SKMjY3p1q0bZWVllJaWis+RGTNm4OzsjEQi4fHjx+jr67Nu3TqcnJzEc1lJJX8XUsIv9ZYq+Vfh4ODAzJkzadWqFYIgYGBgIHZM/gypqakMGDAAQ0NDQkJCUFNTQ0ZGhtq1a6OhoSF+mjdvzrJly7C2tha1PXJycujduzejR49m4cKFwOdOjYGBAS9evMDU1JTu3btz7949UlNTMTIyYsGCBRUG65cuXcLU1BRdXV2GDh3K7du3iY+P5/z587i4uFBcXEy9evUwNzfH39+fZ8+e4e3tTePGjdHX10dJSQk/Pz+xPeH/d78bOHAgnp6e2Nrasnv3buTl5bl8+TLGxsaoqalx4cIFZs6cyahRoxg8eDAlJSU8e/bsVwUWvzcvX77ExcWFJ0+eMHz4cG7fvv2fnOn4txAcHMylS5dwc3Njzpw5REZGkp2dTX5+Pjk5OQiCQMeOHXny5AkjRoxgz549lJWVoaenx5MnT2jatCnLli3D19cXLy8vPn36xPLly/H09CQrK4sdO3Ywfvx4goOD0dbWRlNTk9zcXExMTFBXVxf1vSQSCcuXL+fw4cMANGjQgIsXL6KmpsanT594+PAhN2/e5O7duxQVFaGpqYmenh49e/as4IgGcOPGDVauXImHh8evmkLA5w7N1atXOX/+PMnJyejq6mJubo6mpiZSUlJ8+vSJ58+fiwGsJ0+ekJaWhpSUFHXq1KFt27bip1WrVl9kdWlra9OvXz82btzIgwcPmDdvHqampvj5+TF58mQGDBjAihUrOHjwIGVlZSgpKYlCpQMGDKBKlSqkp6dTtWpVWrVqxbNnzygoKAA+z7C2a9eOpKQkxowZw5YtW9i8eTMrV65ERUWFSZMmsXfvXu7du4eFhQXBwcHs3r2bTp06/akMgUq+RCKRMHDgQLp27UpoaKiYmfdHyMzMZPTo0cyePZtdu3Zhb28vZtK+ffsWZ2dnmjdvzrx58zh48CAXL15k4cKF9OnThzNnznDw4EH69OnDzJkzqV27Nk+ePMHDw4OYmBjMzc0ZPXr0F/fNj4ZEImHy5Ml4eXkhkUiYMGECp0+fpri4WHQd/b/MmDGD6OhoXr9+zYcPH6hduzbjxo2rfM/8BygpKeHp06dER0cTExNDQkIC6enp9OjRg82bNzNv3jzy8vJo3LgxUlJSogNt+b8BAQF0794dNTU1pKSkePr0KS9evKB58+b4+/tTtWpVBg0ahJaW1hfrv3jxgtzcXDZt2sTcuXM5d+4cZ8+eFTP5Bw0aRPXq1RkzZgy2traibuKJEyd4//696Ja4bds27t69S2pqKo0bN2bv3r2/OEkjkUg4ceIEJ0+exMnJScyA+SNMnjyZFStWiK5zlfxvsmPHDmRkZJg5cyZz5sxh3LhxzJ8/n+DgYGRlP+eA3L59m4ULF1KrVi0EQeDJkyc4Ojpy9OhRmjZtyuXLlxkzZgzbt2/H0dGR0tJSRowYwaJFizhw4ACKioqUlpYyZcoUUdtrxIgRnDp1ipKSErp06cKOHTuYP38+lpaWvzjpIAgCFhYWbN26lenTp4ti7/DZZGTBggXcvXsXd3d3li9fjp6eHn5+fjx8+PCbz/v4+HhcXFwwNDRk5MiRjBkzhuDg4Arjy/j4ePbu3cvOnTu/WP/58+fo6+ujqanJ9u3bsbOzo0uXLpw5c4aioiLOnj1Ljx49/ugl+teQm5uLsrIyXe68Q0bpy4zY701pXi6PejYiJyfnqxm4lXydysytHwiJRCIGhaSkpOjevTsPHjz4XTOveXl5REVF8eDBAx4+fEhmZiafPn1iyJAhbNq0CTk5OczMzNDR0fnq+unp6dStW1f8/+XLl7N161Y2btzIzJkzqVGjBvfu3UNVVRUpKSmysrKIjo5GWlqa+/fvExQUhLGxMdOmTcPKyoqsrCxMTU2pW7cuDg4OmJiY4OTkhL29Pebm5qipqXHp0iW0tLR49+4dUlJS7N+/n3HjxnHixAksLS3Fh3bXrl2Bz850nTp14uzZs+Tk5JCcnMyePXs4duwYUlJSKCsr8/z5c169esWlS5cwMjKiefPmlJWVYWVlxeHDh0Xh47+Djx8/8uzZM3HAXzmj/teip6fH8uXLcXFxITw8HGtra5ycnCguLiYmJoYzZ87g4eFBWVkZly5dEmfKQkJCyMnJ4dGjR0yfPp13797RpEkTXrx4wd69ezE3NycsLIyEhASqV69OVFQUPXv25M6dO2hpaVGtWjUOHjzI69evadiwIXXq1EFXV5e+ffuyc+dOwsLC0NDQICwsjJKSEjQ1NdHV1QU+Z1fFxsZy48YNjhw5Qm5uLu3ataNPnz706dMHPT09PDw8mDx5MkuXLq1gC11Obm4uwcHB+Pn58eHDB/T19Zk8eTKFhYU8efKEY8eO8fz5c0pKSpCTk6Nly5a0bdsWXV1dJkyYQL169X5TID0uLo6MjAwxCOHl5YW8vDwZGRkMHDiQFStW4ODggL6+PoaGhiQlJfH06VNKSkrQ0dGhRYsWFBUV0aFDB6pXr46pqSlhYWFERkYyf/58tm7dyu3btykrK+P48eN4eXkxbtw4atWqhYKCAvHx8UybNg17e3usrKzw9vYWnYsq+b4oKiri4OCAtbU1Dg4OfypQUqdOHXx8fBg9ejT29vacPXtWLNNQUVHh5MmT+Pn5YW5uztKlS5kwYQJr165l165drFy5kosXL3Lx4kXGjRtH27ZtcXBwYPPmzRQVFeHr64utrS1169Zl8uTJ9OjR44fM5vrw4YNozpCcnCwGsp88efJN8ez27dsTHh6OiooKGRkZZGZmYmRkxLx58yoDWz8QmZmZxMTEEBMTQ3R0NO/fv0dWVpY2bdqgqanJyJEjadeuHcXFxZiZmeHk5MT9+/cJDg7+5nVu06YNSUlJzJo1C4BFixaxYsUKunTpgqamJjk5OaSkpPDo0SM2btxYQYT6zp07jB8/npKSEh4/foyamho7d+7k0qVLyMrK0qpVKy5fvlwh+zc3N5cjR45UGIzb29sTHByMnp4er169wszMjJ07d1Zwqi4pKSEqKorQ0FCOHj2KiYkJMjIyDBgw4E+dU21tbe7fv18Z3PofJi4ujrCwMM6ePQtAkyZNyM3NZeTIkezduxdbW1scHByIioqifv36TJgwgfT0dG7evMn69etp1qwZKSkpeHp6smnTJhwdHfH39ycqKgpFRUWUlZUrZIyfOXMGa2trOnXqxOnTpykrK8PExIRDhw4xe/Zsbty4wdKlS39xn6WkpFi7di2zZs0Sn/u5ubmsW7eOJ0+eICMjw86dOxkyZAg1a9Zk//799OrVi+Tk5G86wP88U7pHjx44Ojp+8Y7U0NDg6dOnFBcXV0gCuHTpEuvWrWPt2rUcPnyY3NxcLly4QGxsLI8ePcLS0hJTU1NMTU3Zt2/frxqX/RCUK/D+Hdup5HdTmbn1AzFmzBj27Nkjzj5HRkZy8uRJNm3a9NXl8/PziYqK4uHDhzx48ID09HQUFRXR0tKiW7dudOnShbp164q6KR07diQoKIgNGzZ8szzPwsKCU6dOIS8vT0xMDJs2beL48eMEBwdz7949li9fzsyZMykrK2P16tW0bdsWHR0dduzYQcuWLYHPWSNubm7cuHGDxMREjI2NefjwIaGhoRU6YcbGxty7d49ly5bx6NEjtm3bRteuXenSpQt2dnasW7eOPXv2MGfOHGrXrs3Jkyc5d+4c/v7+fPz4kZiYGMLCwlBRUeHmzZuEh4cjLy9PVFQU0tLSHDp0iNzcXEaMGIGamhpJSUkoKCiQlpbG4cOHv/kS+B4IgsDNmzfFUpuhQ4eSkJBA7969K2fU/wYkEgkjR45k1qxZbNy4kUuXLlXQCJo3bx7p6emcP3+e8ePHs23bNubMmcOxY8f49OkTnz59okmTJqSlpVFQUMD06dPZuXMnc+bMwd3dHVlZWUpLS6lWrRq5ubni32fPns2xY8fE2UApKSnxU1paSmZmJqqqqlhYWODv7w8gdpDq1KlDvXr1aNSoESoqKsjIyPD27Vvi4uLIzc2lRYsWaGtrc+HCBfT19dHV1aVu3bqEhIRw7tw5Pn78iIqKCnJycqJjT/369Wnbti3t2rWjbdu2tGjR4lf1vn6NsWPHUlZWhpycnFhC+OHDB1JSUmjVqhW6urpkZWXx7t07Hj9+TJMmTUhKSmL27NmsW7eOZs2aMX36dBQVFWnRogWmpqbUqFGDOnXqEBkZCYCrqysrV64UO0mysrJISUmxceNGtm/fjoGBAQ0aNKBu3bqii+LVq1fF0ulKvh979+5lxowZBAYGfhfNwoKCAmxsbBg9ejQvXrwgISGBPXv2iG5Qubm5LFmyhIKCAjZs2EBubi6urq4oKCjg6upKo0aNCA8Px83NjZo1a4qlUPB5dtnDw4MHDx5gbGyMjY2N6FD1IxAXF8eJEydYt24dgYGBvHr1iunTp3Ps2DGqVKlSQc+ynMDAQNzc3Pj06RNRUVEUFRWRnZ1d+X75l1CuW1UuR1BSUsJPP/0kBrGePHnCp0+fqF27Np06dUJTU5NOnTr9YhmeRCLB09OTly9fsm7dum8u9+HDB6ZOnYq3tzcAQ4cOJTAwEGlpaXHQ7e7uzuPHj9m8eTNbt24VdRLd3d3Zu3cvEydOZPDgwWzbtg1TU1McHR2xsbGhV69eREdH06FDBywtLdHV1cXZ2RkTExP69+9fYT8iIyPZtm0bLVq0oLCwkNjYWHR1dalatSq3b9/m06dPaGlp0bBhQ1JSUli3bh2urq4YGxv/qUnAqKgoTp8+zdq1a/9wG5X8uBQVFWFkZMTx48fFku4zZ84gkUiwsbGhc+fOfPjwgVq1aqGjo0NKSgp16tTBxMSE/fv3c/fuXSZNmsTGjRupUqUKEomEESNG8P79ewIDA2nQoIGYsf5zPn78SJ8+fYiLi8PHx4dhw4aJWf4tWrTg3bt3bNu27VeDQAMGDKBfv340bNgQb29vXFxcRAdUZ2dnALKzs5kzZw4LFixgx44duLu7/2Kb2dnZWFpaUr9+fVq2bMmSJUsqZOa7ubnRrl07DA0NSU9PZ968edSqVYuVK1eipKREZmYmo0aNYs2aNXTv3p24uDiWL1/OwYMHsbCw4KeffuLChQtoaWn97uv1b0DM3Lr9N2Zu9arM3Pq9VGZu/UD8XA8LPtuxzps3D0EQKCwsJCYmhgcPHvDgwQPev3+PgoICWlpadO3aFWtra+rXr//VdsstmTds2MC0adMICQkhKiqKZcuWffFwLS4uRl5eXrS33b9/PwBDhgxh165dZGZmEhsby+TJk5k+fTp16tShf//+YmALoEqVKixcuJA7d+5gZGTEjh07mD17Ntra2jRr1oxq1apRp04dWrRowYMHD1i5ciXq6upERkbSpEkTHB0d2bJlC02bNmXq1KnUr1+fwsJC1q1bx4kTJ2jUqBH5+fncuHFDFElMS0vjzp07tG/fnsOHDzNkyBBKSkrYtWsXs2bNYufOnVy8eJEXL16wevVq9PX1mT17NgsXLvyuM/xlZWX4+fmxb98+FBQUyMnJ4ezZs3Tu3BmJREJ8fHzljPrfgKKiIsePH8fCwkIU2yzXFigtLSUyMhI1NTV0dXUJCAgQr9vHjx+pWbMmGzZsYN26dZSUlNC7d2+Cg4OZPXs2QUFB6OrqYmtrS1BQELGxscjJyXH//n0xI+/169cUFhby4MED7t+/z61bt0SRUBkZGYYPHy5q0/n6+lK9enXk5eV59+4dT58+RSKRUFhYSFFRkah5UFZWRlhYGB4eHpSWlvLw4UPMzc3x9fUlJycHNTU1VFRUUFRURFVVlXr16lXQZ5CRkeHdu3fk5ORU+L5c66E8GPdrfPz4kQsXLqCkpEReXh6lpaVUr16dRo0a0bNnTzp16oSOjg46OjqsXLmSFStWoK6uTps2bVi3bh2qqqpUr16d7OxsOnToIGqO3blzh7p16xIbG4uqqioBAQFi4LBFixa8ffuW0tJS5syZQ5MmTVBSUuLs2bM0adKEVq1a8fLly8rMrb+IFy9eAPwmQ5LfgoKCAl5eXkycOJFBgwahrq6Oubk5hw8fpkGDBtSoUYMdO3Zw9+5dRowYweTJkzly5AgPHz7Ezs6Orl274uzsjI+PD48fP2bt2rV8+vQJJycnunbtyrp16yguLiYgIIDJkydTvXp1Jk6ciJ6e3r8+m+vnmVtJSUm0aNEC+BwcmD59+lfXadasGcrKyiQnJ9O1a1euX7/Ohw8fKt8x/wLK9bG0tbWZMGECampqVK1aVczGGjVqFO3atfvdEw6KiopMnjwZAwMDBEH45u+6Zs2aYil+dnY2tWrVEid5pKWl2bx5M87Oznh7e9OlSxemT5+OtLQ01atXZ9u2bezdu5d3796JJVrq6urcuXOHUaNGMXv2bNGg5MyZMzg7O5Odnc2wYcMoLS2t0LfU1NSkrKyMlJQUbty4gbS0NNnZ2dStW5fDhw+LAWiJRMKgQYOYN28ejx49Yt68eX/wzH+mffv2PH78+E+1UcmPy9KlS5k5c2YFrcJ69erh7e3N8uXLycjIQE5ODlNTU4YNG4aenh4yMjJs376d58+fM2nSJOLi4igpKaFKlSokJSVRv3591q9fz7Rp08RssJ+TlZXF3Llz0dLSIjMzkzVr1jBkyBBSUlLw9/enQYMGHD9+HBsbGw4dOvSLRj4lJSW4ubmxZs0aQkJCCA4OJjExURyXwed7/MOHD2hoaPD+/XsyMzOpU6fON9vcunUrCxYsYNCgQfj5+WFkZMSSJUvEgPTIkSOZN28eGRkZHD9+nHXr1lXQfq5Tpw6nT59m5MiRLF26lF69etGpUycCAwO5fPky3t7eDBo0iJEjR7Jz585//Tv3W0gJUkgJf/2+/x3b+C9SGdz6gSgqKuLRo0e0atWK58+f8/DhQ9LT0+nVqxeNGjVCU1OTbt26MXz4cDGo81tRVFRk6dKlDB48mJCQELHkz8PD46sPwuPHj6Ovry+mc0tJSTFv3jw2bNhAUlISycnJdOjQgbCwMOzt7b9Yf+vWrVy8eJEGDRqgrKxMWFiYqPPTsGFDmjZtiqamJtnZ2fj4+NC8eXOmTp1KYWGhOIB/8uQJCQkJSCQSGjZsiJqaGtLS0owePZqMjAzxHAiCwN69e2ncuDFr1qwBoHfv3ly+fJmwsDBGjhxJkyZNkJGRoXXr1qJY+LBhwzhy5Ahr1qxh8ODBPHny5A+LvX/69IkTJ07g6emJnp4ederUQU1NDS8vLzEjQVFRsbIU8W+kZs2aLFq0CC8vLyIjI8XgVlhYGC1atOD58+d069aN06dP079/f169eoWKigpv377l8OHD9OjRg7i4OB4/fsy5c+dwdXUVy37LyspYvHgxo0ePRktLi+nTp3P58mVq1KjBiBEjKCwspLi4mLS0NIqLi2nWrBm7du1iwIABmJubi4Gwy5cvExoaSmhoKA0bNsTMzAxDQ0NKS0uJjo4WP6mpqUhLS1NaWio6xm3cuBElJSXS09N5//49EomEgoICcXCioqJCcXEx+fn5fPjwQXTZyc/Pr/CRSCSUlJSI5628M1Ke9FuuwZKbm8uLFy8YP34858+fBz67oaqqqopipxKJhLCwMHx8fHj48CFVq1bl48ePKCgoMHLkSG7duoW5ubmolVdcXMyzZ89o0aIFZmZmmJmZoaKiwtq1azE3N2f16tViu5GRkZiZmWFiYsLGjRsBuHv3LjExMbx69epv19L7XyEmJgbgu55fOTk5jhw5wqxZs2jfvj2bN29m1KhRuLm50blzZwB69OhBUFAQmzdvZvjw4bi5ueHn50dQUBDDhg3DyspKdOxNSkpiy5YtrFq1ijlz5tCvXz/Mzc0xNzcnOTmZQ4cOsWrVKoYMGcK4ceOoV6/edzuW78n/DW6Va8g9e/aMVq1afXWdZs2aIQgCxcXFjBs3juvXrxMUFMTo0aMrA1z/MHFxcejq6rJ27Vrk5eVFjdLvgbS0tFgW36tXr28up6GhQUJCAvHx8V9oEqqrq9O2bVu8vLxo1qwZDRo0IDIyktevX5Obm4uDgwMODg7MmTMHbW1trly5wo0bNwgJCQE+vxs6duxIhw4dePjwIWvXriUsLIxVq1ZRq1Yt6tatS2pqKkVFRWhoaHDp0iWx3KtVq1Y0btyYUaNGsW/fPpo1a4aioiI7duxg586d3yW7XU5OTpwg+h5uw5X8OFy7do0PHz5UqFKRSCTMmzcPHR0d5OTkCA4OxsvLC2tra/r06cPjx49xcXGhU6dOjBo1irVr1+Lg4IClpSXGxsb4+vqyZ88eWrduzeDBg9myZQuAGGAODQ1lw4YNrF27Fl9fX44dO4aLi4vomF6uNWdjY0O9evWwsrLixIkTX2hFJiYmsnjxYl6/fs2yZcuQk5MjPj4ed3f3LxxDf/7fU6dOZd++fRWMH35OVlYWDx8+ZMWKFQCYmprSr18/lixZgqenJxs2bBDdJNu2bUtQUNBX3/s1a9bEx8eHkSNH4uLiwvz58xk6dCgDBgzA2toaIyMjjI2NadasGUFBQbRv3/4PXsVKKvk6lWWJPwgSiQQtLS2MjIwIDg7G3Nycnj17UqVKFUJDQ9m8efN32c7hw4cpLi7Gzs6OyMhInJyc2LhxoxiZNzEx4fjx4wwfPpyQkJAvHmzGxsaEhYUxYMAAlJSU+PjxI4cPH64QIDt69CgzZsygffv2JCcn4+npia6uLtWqVePWrVvs37+fV69eIS8vT2JiImZmZly7do2xY8eyceNGVqxYQY0aNbh06RLp6ek8ffoUIyMjdu7ciYuLC/v27WPJkiVMmDCB2rVrM336dFJTU1m6dKnYcYyNjWXmzJnMnTuXpKQkMc325wiCwNatWzl27BgSiQRzc3MePXr0uzpVHz9+ZP/+/QQFBTFq1ChUVFTYvHkzq1evrnQP+Zcwe/Zsnj17xqZNm2jfvj3jxo0jJiaGhg0bcujQIZydnZGXl+fkyZMoKiqSn59Px44def78ORKJhMaNG3P37l3s7OwICwsjNzeXNm3akJeXR1ZWFrVr12bGjBnk5eXx5MkTcnNzkZWVJSsriyFDhjB58mTRoQYQM/g0NDRQUFDg+fPnREdHc+fOHcLCwnj79i3y8vLo6OhgZWWFtrY2QUFBokvc8OHDGTFiBL169fqixPXdu3dimXJ0dDRFRUU0adKEbt260a1bN9q3b/+rQYp3797x6NEjHj16RHR0NPn5+dSsWZMaNWpQo0YNNm7cyIIFCxAEgRo1avDhwweys7PJyckhJyeHkpISYmNjadOmDVWqVCE6OpqxY8eyfft2nJycePTokZhlWVRUxJs3b+jRowf9+/dn/fr1tGvXDhsbG+bMmUO1atV4+PChOLC/desWNjY2DBs2jDNnzlBWVkatWrXIz89HRUUFNze3SjfS74hEIqFjx44YGRkRHx+Pn5/fdz23giAwf/58lJWVmTp1KhMmTGDChAlYWFhUWO6nn37CyckJfX19cTLlyJEjnDp1ijlz5mBsbIyUlBRpaWns2LGDBw8eMG3aNExNTcVBbUlJCSEhIRw9ehQ5OTkmTpyIvr7+v2rQ6+npiaysLNbW1lhZWXHs2DGqVq2KiYkJAQEB31zP2NiY1NRUrK2t2b59O6NGjSIyMrKy/P0fRiKRYGZmRqdOnbh37x4XL178rtfj6dOnbNmy5RdLkS5cuMDbt2+Jiopi4cKFXxiSZGZm0qNHD9Hh0MrKioEDB4pOaIaGhmJpV9++fVmzZs0XIu8nTpzg4cOHNGnShFu3blFQUEDjxo0pKioSy9UtLS0pLCwUg1uzZs2ia9eu9O/fn6lTpzJ37lwMDQ1JS0tj4cKFHDx48LucI0dHR+zs7GjXrt13aa+Sfz/Z2dkMHz4cPz+/CuYFq1at4sOHD2zZsgUHBwc6deqEmZkZw4cPp0ePHrx8+ZItW7agrKzM4MGD6datGxEREXh5eeHt7c3Zs2dp0KABZWVlaGhoEB4eDsD58+dZvnw50tLSrF+/HgUFBQYNGsSlS5dIS0sTkxJiYmLw9/cXnwEREREsXryYY8eO0ahRI7KyslixYgVpaWlMnz4dLy8vdu3aJWZVnT179qsTM6ampvj6+gJgYGBAUFDQV7NBFy9ezIABA75qvHP79m3Gjx+PsrIy1tbW1KxZk06dOv1ifyo/P59Ro0Yxc+ZM6taty9atWzl+/Lj495MnTzJr1iwmTJjAihUriI+P/9f3z8rLErveSv3byhIf9m5YWZb4O6kMbv0gREREEBAQwMqVK3F0dCQiIgIzMzOMjIyYM2fOd3FNhM9lh+XZW/Ly8mRnZzN58mQGDx7MhAkTsLKyokmTJgwfPvwL0WqJRIKBgQFdunThypUrdOjQAWVlZZycnMSOw4kTJ5g1a5a4bnR0NOHh4WJasEQiwcfHh61bt/L8+XMmTpwoli3ev3+f6Oho5OTkkJWVpW/fvlStWpXXr1/z+vVrTE1NCQgIYObMmbRu3ZojR44QGRnJqFGjyM3NxdnZWey45efn07hxY9LS0jA1NeXcuXNiBtXPSU1NZezYsWhoaLBjxw6cnZ0ZMWLEr9rdv3//nh07doilMoMGDWLx4sWUlZWxYcOGf/XD+3+N/Px8+vfvj4aGBrt27aJ79+6UlZWxYMECdu3aRbVq1ejRowf5+fncv3+f2NhYmjdvTmJiIgoKCnz69AlFRUUkEglNmzZFS0tL1PAyMjLi7t271K9fn/79+5OYmEhJSQnjxo3D0NCwQrlfXl4esbGxYjbWq1evkJaWpkWLFnTq1EnsSFStWpXc3FzOnTvH9u3bSUlJwdDQkBUrVoi/758HyH7ptyYIAikpKWI58+PHjykpKaF58+Z069YNVVVVcnNziYqKIjY2lk+fPtGoUSO6dOkiig6Xty+RSDA0NKR79+5ERUV9c+Ds6+tLTEwMy5YtY/78+Vy5cgWAwYMHc/XqVaZMmcL69euBz/dRy5YtxfIWOTk5qlatSlFREbVq1cLW1paIiAhxW6tXr+bSpUts3ryZxo0bM3XqVIKCgigrKxOdFG/dulU5qP9OREREcPLkSbZt28ayZcswMTH57tmngiCwfv16srOzWb16NQ4ODjRs2JAlS5ZUeOcJgsDhw4fx9vZmw4YNYqn3li1biIiIwNXVVdy33Nxc9u3bx8WLF0V9r58Hdd+8ecPhw4fFiZrx48dXKF35p9i9ezetWrVi8ODBGBsbExAQIA64du3a9c31ymfJY2Nj0dbWZtOmTd9Fs6iSP49EIuH27dusW7eO0NDQ755hOnToUM6fP//N8qasrCxmzZpFVlaWmHH1cyIiIjh9+jSbN29m8eLFDBs2jO7du1NQUMD8+fPFjJPq1avj5ubG+/fvEQSB2NhYrl27xrVr17h9+zYTJkxg4MCB9OrV6ws3xKdPn3L27FnCwsJ49uwZTk5OTJw4kZkzZ9K/f3+GDx+Oo6MjtWvXZunSpYwcOVLMDv6zeHt7U1RUhK2t7Xdpr5J/P7a2tsyYMaOCe9+OHTuIiooiOTmZ3r17c+PGDWrVqkWTJk0ICQmhd+/eeHh4iMtfu3aNo0eP8vbtW0JCQjAxMeHIkSPUq1eP0tJSEhISuHLlCvPnz0dBQYHOnTtjZmZGjx49KC4uJjg4mLVr13Lp0iWCg4Nxc3PD0dGRu3fv0rNnT/r27Uvv3r1JT0/Hzs6OXr168eDBA5YsWUKfPn1E7dZyaY127dpx9OjRrx7v5MmTWbNmDQ0aNGDfvn0oKSkxZsyYCstkZGQwYcIE/Pz8vhhLRkREsGjRImxsbHjz5g03b97kxYsXjBo16hf7U2VlZaJ+2ZgxYwgPD0dLS0uUhSktLeXDhw+MHTuWDx8+YGNjQ3h4+L+6fyYGt26mIvs3BLdK8nJ52KcyuPV7qQxu/SCUz/CVZ2OcPn2ahw8fEhgYiJ+fH927d2fSpEn07dv3q0Ga38PPs7fg8wNq7dq1JCQkkJubS+3atb/6EI2IiMDPz4/Vq1djb29PdHQ0BQUFVKlShZo1a5KamkpCQgL169dnyJAhdOvWjdWrV3Pt2jUyMjLw8PAgLi6Ojx8/0r17d5SVlfHx8cHU1JTz58+joKBA06ZNCQ4O5ubNm4wfP562bdvSq1cv9u3bJ5ZRNW/enJYtW1JYWMjYsWNJTU1l586dTJ06FTs7O1RVVdmxYwehoaE4OTlx4MABTp48WeFYEhMTcXNz4+3bt6JLY8+ePQkJCaFv3764u7t/dUb/+fPnbNmyhdTUVGbPnk3fvn25e/cuS5YsYf78+RgYGPypa1PJX8O9e/ewsLDAwsKCw4cP06FDBzIzMzExMcHW1paUlBTu3bvH+vXrKS0tpU6dOmRnZ6OsrIysrCzZ2dkoKSnRrl07UUj948ePjBgxgs6dO7N27VomT57MjBkzaNq0Ka9fvyY6OloMGpXr6XXs2JHOnTvTqVMn0b79//Lhwwd27drFjRs3mDp1KkOGDOHKlSucP3+e9+/f069fPywsLL5ZpvQ1ysrKePHiBY8ePRKdVLOyshAEgbKyMpSVlencuTM9evSgW7dutG7d+qu//9zcXIyNjb/p0FVUVIShoSH+/v74+/uzadMmpk2bxqhRoypkq5mZmaGmpoaPjw/v379nxowZPHv2jClTpnD8+HHS0tLo3bs3W7durTBIHzRoEO3atROtqtPS0rh06RLz5s3DwsKCnTt3Vg7qvyMSiQRNTU2GDh1KfHx8hVnn783u3buJjY1l9+7d7Nu3jzt37rB//37RQbic9+/f4+LiQqNGjXB1daVatWqkpqaycuVKPn78yIoVK0StqsLCQo4dO4a3tzdmZmZMmjSpwv6XO6YePnwYQRAYP348BgYG/5jb0+rVqxk0aBA6OjqYmJjg7+/PuXPnyM7OZtKkSd9cz9ramtGjRzN//nzU1NS+mtVZyT+Ll5cXL168+O6mF3v27KFBgwYMHz78m8vo6emhoaHx1Qyvd+/e0a9fP0aMGIGPjw92dnY4ODiI76azZ88yf/58jIyM8Pf3R0NDg9LSUjQ1Nenfvz+BgYEMGzbsNzsb3rt3DxsbG5o3b46KigqvXr3CxsYGDQ0NYmJi8PPzo6ioiIsXL/6xE/J/KBfdnzx58r8+a6SSP8/Jkyf56aefWL58OfB5UqR8omTVqlXk5+cTHx9Pw4YNWbFiBQkJCTRp0oSMjAwxgwo+ZzLdvHlT1D6Vk5Or4HL46dMnVq5cycmTJ2nTpg1eXl7cv3+fu3fvcuzYMVRUVOjatSspKSkkJSXRs2dPwsPDuXLlCsnJyVy/fp1bt26RmJhIamoqMjIy7Nu3T6wwmTJlCkuXLsXV1ZURI0Zw7Ngxli9fTtu2bb845hUrVmBkZES3bt3Iz8/HwsKC4ODgCv3LhQsXMnjwYPr16yfu/9OnT0XtMX19fT58+MCbN294/vw5PXv2ZPv27cyZM4fw8PCvSuFISUmJZj8RERE0bdpUdIZXVFRERkYGGRkZMjIyqF+/Ptu3b//X988qg1s/BpXBrR+Ib2VjREVFsX37dtq3b09YWBjVqlVjyJAhGBoa/m7tLfhcnjF48GCCg4MrpK7u27ePuXPncu3atQozHj/fv/79+6Otrc21a9eYPXs2bm5ujBgxgpo1a3LkyBGKi4uZOXMmO3bsQEdHh9OnT6OkpESNGjXEl0R557uwsJABAwYQERHBtWvXeP78OVpaWsjJyfH+/XuMjIx4/vw5ZWVljBo1CgcHB1xcXPDx8eHt27dIJBIaNGiAqqoqsbGxGBsb89NPP6GgoMDr169xc3Njy5Yt9OzZU7Sxv3v3Llu3bkVRURELCwvc3NzYvn07LVq04ObNm0ycOJGBAwciIyPDgQMHxMybR48esWXLFmRkZHBycqJTp04UFRWxYsUK3r59y9atW6lVq9YfuOqV/B1IJBK6d+/OgAEDOH/+PIqKijRr1gxZWVnU1NTo3LkznTt3xsHBgQcPHiAtLY2xsTEpKSkkJiZSWFhISUkJMjIytG3bFnl5eVq0aIG/vz+DBw+mcePGREREUL9+fQRBoHHjxmIQq2PHjl/MZH+N9PR0tm3bRmRkJLNmzWLo0KFfBL+Ki4sJCwvj3LlzYgfEwsKCjh07isuW63KVlxb+9NNPALRs2VLMyCoP0pVTVlbGs2fPRBH8p0+fIiUlhbq6uljS2Lx5c6SkpMSMkq+xYcMGmjVrRtu2bcXywVWrVlVY5s2bN6xYsYKIiAiKiooYNGiQ6Og4YcIEqlatSkREBH369MHMzIy7d+9y4cIF5OTk0NPTo3Xr1tSuXZvExEQxY65evXrMnz8fS0vLykH9d8bCwoLz58/z5MmTr3asvyfHjx8nNDSUQ4cOcePGDTZs2MDhw4dF7cefU67HtXDhQgYNGgRAQkICrq6uqKmpsWTJElGourS0lDNnznDw4EH69OnDzJkzv3BRfP/+PUeOHOHSpUvo6ekxceLECuXEfwfOzs5MmTIFFRUV7Ozs8PLyYunSpZibm9OlS5dvrlf+2zczMyMuLo5nz579alZnJX8vgiBgZWXFqlWrUFdX/27tZmZmMm3aNHx8fL65jL6+Pubm5t/UR23QoAGtW7emefPmbNy4kevXr9O7d2+io6NJSEhg+PDh7NixA3t7e65fvy6Wy1evXp3du3fj6en5u/b5wIEDFBQUYGpqyokTJzh8+DAjR47k3r17rF27FkNDQ3x9fendu/fvPh//l7y8PLp27fqrWSiV/Pi8evUKOzs7/P39kZOTo6SkhJkzZ9KhQwfxty8IAt7e3nh4eLB69Wp69OhBWFgY8+fPR0VFRcwYvHHjBvfu3WPKlCm0bNmSly9fisGHuLg4HBwcmDJlCnFxcWRmZtKxY0fs7OwoKysTq2Pi4+OxtramR48eXL16lQ8fPrBo0SJ0dXWRk5Nj7dq1aGlpYW5uzo0bN9i4cSMNGzakW7duhIeHY2hoSIMGDZg7dy4vX77E2dn5qyL2hw4dolatWqK+mJOTk+g++ubNGxITEzl58iRaWlqivmpmZiavXr1iyJAh9O3bFzU1NVRVVcV37YABA9DT0+P69et07NiRV69eiVpj/fv3p3r16hX2obi4mIkTJ9KyZUvevHnDgQMHxL8FBQUxY8YMbG1tuXPnzr/6HiwPbnW78fcFtx7oVQa3fi+Vwa3/AIIgMHjwYC5evIiUlBTZ2dlcvHiRoKAg0tPT0dXVxcjICC0trd+sH3LkyBGKioqYOnWq+N2CBQt4+PAh0tLS2NvbY2xs/MV61tbWnD9/nj59+uDv74+Pjw/r168nKyuLunXrsnTpUt68ecORI0eoXr060dHR1K5dm7KyMiwsLNDS0uL9+/ckJiYSGBiIjo4OsrKyXL16lY4dO/LTTz+hqamJsbExsbGxZGZm8ujRI5o0aYKcnBxDhw4VU4PLhfF9fHzIzs5m3bp1REdH4+Xlxbt378jPz6d69eqMGTOGa9euUbNmTTp27MjcuXNJTk5m+fLlHD16FBUVFfH4xo4dS6NGjYiOjqZmzZqMHz+effv2iS6OzZs3Bz6LLDs5OTF9+vQv9GEq+fcRERFBYGAgK1aswN7eHk9PTxo2bEidOnVQVlYW75vc3FyePXuGubk5fn5+KCsro6GhQWBgIMrKyqJDYXZ2NlpaWlSvXp2wsDAmTZrETz/9xK5du363q9zbt2/ZvHkzz58/Z+7cufTr1+83lSCXlpZy8+ZNDh48KIq3KygoUKtWLdTV1cVA1reysH5L+0+ePBFLGl+8eIGsrCzx8fFs2LCB7t27o6amJu7ru3fvmDx5MocPH2bAgAFoampy4sSJL47l1q1bnDlzRsymefjwITY2NoSGhlJWVkabNm0YMWIEt2/fRkpKilatWnHnzh2uX79Oamoqffv2ZcmSJbRu3Vps297enjFjxiAjI1M5qP/OrF69mqVLlxITE0PHjh3/8u35+vpy/PhxTpw4QUpKCtOmTWPdunVfLRXPy8vD1dWVrKwsNm7cKOqR3LhxgzVr1jBo0CBmzZollmwJgsDFixfZvXs3bdu2xcHB4YvAWbkz6aFDhygsLMTW1vaLEuO/ivLykrS0NE6ePMm6deuwsLCoYEzyNfbu3UuTJk2YM2cOp06dquBuVcm/h9evX2NnZ0dgYOB31XobMWIEe/bsoW7dul/9e69evbC0tMTBwQH4nNGYmJgolo936dKFoqIi5OXlUVJS4sWLF8TGxjJw4EB0dHQ4cuQIlpaWnD59moYNG7J69WoePHjA5s2bad26NSoqKmhra6OtrU3nzp1RUFD4xf0tKyvDxMQEd3d33r17J76blyxZgpmZGa6urtSqVYuuXbtWyCL7vZQHN6pVq/ZFFnAl/y1KS0sxMzNj69attG7dmoKCAsaPH8+wYcMYNWoU8Nmko9xVt1xrtZy3b9/Ss2dPJk6cyLJly7h27RqRkZHUrl2bgIAAhg8fjrW1NVu3buXOnTvs2rWLRo0aiSYoO3bsYPXq1WRlZXHt2jVcXV3x9PQkNzeX6dOn8+LFC6ysrDAwMODKlSukpaXRokULNDQ00NXVpUePHqioqDBx4kRatGiBp6cn8vLyNG/eHFVVVfT09Lh//z49e/ZEXV2dN2/ekJKSwps3b7h//z5v3rwRxycyMjIkJiYybdo0VFVV8fX1ZdiwYZiZmZGRkYGzszNNmzZl6dKl37xXs7KyMDY25tKlSygqKiIIAs+ePSM0NJRr165RWFhIz549RamacsMjOzs7Xr9+jbOzMwYGBmRkZGBoaEjHjh2ZNm3av75/Vhnc+jGoDG79R1i6dClGRkZfZFSVlpZy9+5dAgICxCCQsbGxKPj+LUpKSjAwMKigvaWnp4eDgwNjxozB0dGRWrVqsWLFCrFEo7CwEDU1NWRkZHBzcyM7O5vAwEBSU1MpKSnh7du3fPr0CUEQ6NatG02aNMHHx4cVK1bg4uJSoYNy9uxZ3rx5w+zZs8nNzaV169b07duXs2fP0rZtW7GsRBAEYmJiyMzMREFBgWrVqjFu3DguX76Mqqoqp06dIj8/n65du6KlpYWxsTFLlixBTU2NFy9eMHr0aLZu3Yq9vT1XrlwRZ28uXbrE0aNHv5h9CAwMJCEhgffv37N//37q16/P5cuXadq0qXjeNm3aRFRUFDt27KBBgwZ//uJW8pcjkUgwMjKia9euREdHc/z4ceLi4rh9+zaPHj2ipKSEDh06UFZWRmFhITt37mTOnDlcvXoVVVVV7t69i62tragPp6CgwIMHD1i4cCGtWrWia9eurFmzhitXrvziDPrPSUpKYsOGDaSnp+Ps7PzVbMmfU1BQQGxsrJiRlZKSgry8PO3bt0dLS4uqVaty9+5d7t+/T5s2bbCwsKBPnz7fdVBeXFzMiBEj6N27N0+fPuX169fIy8ujqalJeHg4c+fOZc2aNcjLy39TX+b48eOsXbuWtm3bUqNGDa5du8bo0aNZt24d169fZ+PGjWRmZiIIAiUlJYwfP57+/fvj4+NDUVERffv2FZ0vAXJychg7diz+/v7f7Tgr+X94eXkxevRowsLCvtBh/Ku4fPky27Zt4+TJk5SVlTFx4kQsLS0ZPXr0V5cvvxdtbGywsbFBSkqKsrIyfHx82LdvH5MmTWLUqFEVAgrh4eG4ublRs2ZNXFxcaNOmzRftlpeqBAUFoaury6RJk74Q5P6eWFpa4unpSWhoKO/evcPOzg4jIyMCAwN/cb2QkBCeP3/OtWvXUFdX/yJbspJ/D+7u7pSUlDBr1qzv1ua5c+d4+/btF23m5+cTFxfH+PHjkZKSok2bNhQVFaGgoEDbtm3JycmhWrVqYil5TEwM2traWFpa0qZNG2xtbYmKiuLWrVukpKRQp04dxo8fT/369TE0NCQ9PZ358+eTmZnJgwcPiIiIIDIykoKCApo1ayYGvNq1a0dhYSFxcXFiaWB5luWhQ4cYNmwYPXr0wMfHhzt37jBlyhROnTqFu7s7d+7cYd++fV84yv0aCQkJzJ07FwMDAw4dOlSZ1fsfZ9OmTdSqVYvJkyfz4cMHxowZw5w5czAwMKCkpISdO3dy9epV3NzcvjkBmZ6eTrdu3TA3N2fIkCE8fvyYoKAgLly4wODBg6lZsybm5uZMnjxZHM94eHhQv359dHR0GD16NC1btsTR0ZG2bdsyZMgQzp07h6KiIgUFBXTo0IGcnByCg4Pp3r07giDw8uVL7t69y927d3n+/DnS0tLExsZiamrKtWvXaNOmDbm5uWRlZZGRkUFqaipt2rShU6dO9OnTBx0dHQoLC/Hx8RHdG+Gz7tiKFSuoVq0adnZ2nD9/Hg8PD86dO8fGjRvR1NT81XM6ZcoUFi5cKI7Hfs6nT58IDw/n4sWLPHr0iDp16jBo0CAGDhzI8uXLuXnzJmFhYYwdOxZlZWVWrlxJhw4d/uDV/fuoDG79GFQGt/4jxMTEcOTIEdzc3H5xuaSkJAIDA7l8+TKCIDBw4EBRbPb/8vPsrVmzZlGlShX09fXFgeOxY8c4e/YsBw8epG7duixevJigoCDevn0rZl00aNCAwYMH4+vrS7du3ejTpw/r169HUVGRCRMmcPr0afbt2/eFVbWxsTEnT54Ub2ZdXV2eP3/OrFmz2LdvH0FBQXTq1IlFixbx+vVrJBIJ169fZ8yYMezYsUMUZiwsLMTU1JQDBw7QvHlzXr58iby8PFWrVqVmzZoUFxdjaGjIrVu3GDhwIDt37qSoqIh27dqhp6eHoaGhmCJcWFjIwYMHWbZsGcuWLUNXV5epU6eipKREYGAg79+/Z/bs2YwcORJbW9vvIvBfyd/H9evX8fLyYsuWLV90bktLS3n8+DGOjo789NNPWFpacvHiRXr06EF0dDS5ubmUlpZiamoqGiSUlzUJgsCECRNEA4gxY8YwdOjQb+5HYmIiGzZsoKioCBcXFzp37vzFMh8/fiQ6OloMZKWnp1O1alU0NTXFjCwVFZVv/gafPHnC+fPnuXHjBioqKlhYWDBw4MA/rdcHsGbNGvT19dHV1QU+62ydOnWKAwcOkJqayvv379HX16d79+5iSePPMwrmzp3L3r17adu2La1bt8bMzIyVK1fSrl07ZGVlefLkCUpKShw9epT9+/ezfft2ADE4aWpqWiEzZdu2bTRp0qQyg/Iv4vz586Ke2fcckP8a4eHhLF++HE9PT2rVqsW8efOoUqUKq1ev/mrWS3FxMdu2beP27du4ubmJHfKioiL27NlDcHAwCxcuFJ2nynn8+DGbN2/m06dP4qz+/0UQBG7fvo2Hh4cokGtqavpVR6o/g6mpKX5+fuzYsYN27drRuXNn5s2bx5EjR35xvSdPnuDh4UHnzp3ZtWsXO3bsqNQX+pdSVlaGqakpu3fvFifN/igSiYS4uDgaNmzIyJEjmTp1KvHx8fz0008UFxejoKBAjRo1yMrKIi0tjcuXL6OgoEBZWRl37txhzJgxtGrVip49e2JpaYmmpqb4Til/H06aNAkPDw+2b9+OhoYGxsbGODg4YGVlxY0bN746YBUEgVevXhEREUFERASxsbEkJSVhbm7O/fv3xQCTq6srnTp1YvDgwcTHx/Pq1StCQ0MRBIGVK1fSsGFDwsPDWbx4MVu3bqVTp06/6fxu27aNmzdvitqVeXl5dO7c+V+fNVLJHyMqKoq1a9fi7e1NamoqNjY2rF27Fm1tbSIjI5k/fz6jRo0Sg7y/xLFjx7h69SpxcXHUrVsXW1tbCgoK2Lp1K9bW1ixZsqTC8qdPn+bTp0+MHTuWkJAQpkyZwuvXr7l58ybBwcGsWbMGb29v9u/fT40aNWjQoIEYPPu/lJaWMmHCBGrWrMmOHTtwcnLCxMRE1MmCz6ZdL1++pH379ty4cYPExESUlJR4/vw5R44coUOHDkhLSxMREcGJEyfIyMhgwIABnDt3jiFDhjBjxozfrCl55coV7t27x6JFi3512fT0dC5duiROzDx79oyysjJGjBiBr68vjx49+iHuPTG4df1vDG71rQxu/V4qg1v/EcpLE0NCQn5zOrtEIuHKlSsEBASQlJREly5dMDY2pkePHsjKyoraW2vWrGHfvn20aNECAwMDmjVrRlJSEklJSdy5c4czZ87QoEED3r17h7S0NFlZWTRv3pyqVavSv39/0VY3KiqK169fo6GhwcSJE9mzZw9xcXEcOnSIwYMHi/sVGRnJkSNHxEHrsWPH2Lt3L69fv+bEiRP4+flx+fJlbty4gbm5OQUFBSgoKODu7o6trS29evXC39+fFi1a8Pz5cwoKCpCXlxdtqKtWrUr16tUZNmwYU6ZM4dOnT2hoaIg22AMGDODAgQM8fvyY+vXrk5OTQ3p6OiUlJUybNo2EhARmz56Nuro6WVlZmJmZ8eLFCzQ1NcUSxUp+PM6ePUtubi4TJkz46t/L3WTKnUtr165NVFQULi4ufPr0ibKyMuTk5Khbty4dO3ZES0uL+/fvk5aWRk5ODoMGDWLnzp20bduWmzdvfhFIio6OZuPGjcjLyzN//nzRYTQ7O5vIyEgxkJWTk4OSkhKdO3emS5cuaGlpUb9+/T983MnJyfj6+nL58mVq1KjBsGHDGDp06G/SAfsanp6eSEtLi6n+giBgaGhIz549OXjwIHfu3KFmzZpER0eLGl4ZGRlUr16dDh06cODAAczMzAgODqZly5b06tWLgoIC6tSpg7OzMxcuXMDd3R0HBwd2797NhQsX+PjxIxMmTKB+/fosXLiQxo0bA587gwYGBly8ePFvKRv7X0MikTBw4EC6detGWFgYd+/e/Vs7qDExMTg4OHDs2DFUVVU5dOgQISEhHDx48Ius23KeP3+Ok5OTqLVYnj1YXrr+4sULVqxYQfv27Susl5SUxJYtW3j9+jVz5sz5ZnlwdnY2np6e+Pn5oaWlxeTJk393KfK3KA9uOTo6Mm3aNJKSkkhISGDOnDm/uF5BQQG2trbs2bOHbt26MWHChEp9oX8xP/30E/Pnz+fcuXN/eJJMIpEwdOhQtLW1CQwMpGrVqowbN46BAwfSpk0b5OXlkUgkuLi4iOYEenp6hIeHk5CQQKNGjZCXl2f//v1f7ENSUhKTJk3i1KlT1KtXj7dv3zJ9+nSGDBlCYGAgNWrUwMDAgFOnTjFnzpxfnMyBirIAzs7OWFlZiRknRkZGnDt3TszMWrFiBffu3WPDhg1iGXR6ejpTpkxh6NChaGlpfTNw++LFC+zt7TEzM2PKlClISUkxbdo0Fi5c+KcDiZX8OykoKMDY2JhTp07x4cMH7OzscHd3p3Hjxri6uvL+/Xs2b978m/tQgiBgbGyMlpYWmzdvplu3bpiYmDB37lwMDQ0JCAioUMoXEhLCixcvmDFjBqGhoaxbt47x48dz/Phxpk6dyqFDh9DX18fe3p4HDx4QFBREZGQkQUFBFe67V69eMXXqVJKSkqhXr55o1tCmTRuOHDkiTqSUlZVhZGTE0aNHxWP68OEDBgYG9OvXj8ePH1OtWjW6du3KwYMHMTY25uLFi/j6+v5uzczS0lKGDh1KaGjo71pPEASOHTtGVFQUW7duZcGCBQwfPvyHKAeuDG79GFQGt/5DLFu2jKFDh4oZE78HQRCIjIzE39+f69evIy8vT5s2bXj16hU3btxAW1ubxMREWrRoQfPmzWnWrJn4qVGjBoMGDcLMzIz69euzadMmLl68SLt27dDW1mbEiBGcP3+eZs2akZiYSLt27RgyZAi2trbo6OigrKzMokWLsLKyQkpKikmTJrFgwQJatWqFq6sr+fn5LF++nAYNGnDnzh3atGlD7969UVZWJikpierVq+Pp6Ul4eDhnz54lMjKSMWPG8ODBAw4ePIi7uzsHDhxAEARMTU3Ztm0bcXFxHDx4kOvXr6OiokJSUhLNmzdn4MCBqKuro66ujoyMDPPnz+fhw4ei88+zZ8+Ij49HSkqKiRMn0qtXLxYuXMi7d+9IT0/n1q1bf7vIcCXfh3JThoEDB3717+VuMiNHjuTt27dIS0uTmJiIq6srEokE+Cz4HB4eTlhYGK9fv6aoqAhFRUUUFRVJT09HRkaG5ORk7OzsGDNmDO3btxczQ+rWrcuECRPIysri0aNHREVFIZFIqFmzppiN1blz57/UmOD9+/f4+fkRFBSErKwsxsbGmJiYfCGu/Uvcvn2b69evi7N5Xl5eXL9+XQygfSv1/OPHj5w8eVJ0Kl22bBkmJiZ0795d1GDZv38/jRo1ok+fPrRr1473798TEBBAYGAgz58/58aNG3h6eoqBQ39/f548eYKLi8ufPzmVfEFERAT+/v6sWrUKBwcHRo8e/bd3UJ8+fYqdnR0HDx6kRYsW3Lp1i+XLl+Ph4fHNEkFBEDhx4gTHjh1j3bp1FTL9kpOTWbZsGVWqVGH58uUVNBfhswPnjh07ePDgAdOmTcPU1PSrE0qCIBAREYGHhwfv379n1KhRWFhY/KnsyPLg1vDhwzl58iTbtm1DV1cXPT29X13XxMQEExMTYmNjK11DfwDKxaNtbW3/0PoRERGcPn2azZs34+rqSpMmTXj58iWrV68G/p8Dt6ampjg4bdmyJWvXrqV9+/ZYWVmxY8cO0R2unLS0NEaOHMnhw4crBITKyspYv349Bw4cwNzcnJiYGLy9vZk3bx5t27b9Qnri5/zcDTwwMJB27dpx+PBh5OTkuH79OmfOnBEdcMvKytDS0mLq1KnMmDFDbCMnJwcdHR2MjIzEvmx5gEsQBPbv34+/vz87duyoUEY1dOhQgoOD/9A5ruTfz5w5cxg8eDANGzbExcWFY8eOERcXx/r163FxcfnVwOvXuHv3LtbW1gwbNozAwEC0tbWxtrbmzp07vH//XhRuFwSBhIQE4uPjMTc3Z/fu3QwdOpQ9e/ZgYmLClStX8Pf3F7WwSkpKxD6Pnp6e2Bc9efIkR48eRU5ODicnJ7S1tUVzscuXL3P48GGOHz8uTuhERERw8OBB9u3bJ+5z+bsDPmtRHjp0iGfPnrFjx44Kfa0/cn4nT578u/U2/fz8cHV1pV+/fqIL6o8w0VIe3Op+7e8Lbt3vXxnc+r18P8XKSv5xrKys8PT0JCIiQhxs/18EQeD9+/fcu3cPb29vNmzYwPTp0xk2bBiurq48ePCAFi1a0KlTJwoLC0lISKCwsJDevXujrq6Or68vHh4eLFmyhLFjx9K7d28uXbrE2rVrefHiBXv27KF69er069ePoKAgMjIy8Pf3p23btujr6+Po6EhISAjt2rVj5syZfPz4kWHDhvHy5UuGDh1KQEAAHz58oHHjxowfP55GjRqxefNmlJSUkJGRISsrCwUFBebNm8ezZ88wMjKisLCQ1atXo6ysjI+PD926dWPjxo04OzvTp08fPD09qVGjBjVq1MDDw4N69erRr18/0XkrNTUVDQ0NUWjy5cuXTJw4ESMjI3JyctDV1UVVVZWwsDAeP36MsbEx6enpJCYmYmhoSFFRETNnzmT06NF06dKFe/fu/eI1qOTfSUpKyjcDkxkZGcTGxtKvXz+kpaUpKioCPrs65ebmIpFI2LFjB3379mXBggWEhITw+PFjAgICmDZtGoqKiuTn5/P69Ws+ffrE2bNnOXPmDJ06dWLWrFnk5eXx6tUr9u7dy9OnT+nbty+HDh0iMDAQT09PnJyc6N+//1/uuNmgQQOmTJnC+fPnRTfQ6dOnY2Zmxt69e3n37t2vttG8eXOSkpKAz4OWnTt3cvbsWQ4fPvyLmgrVq1dn7NixxMTEiFkL5dlr0tLSbNy4ERcXF6SlpRk/fjz3799HWlqa4uJirly5wsCBAykqKqoQPPDw8GDy5Ml/7qRU8k3at29PeHg4s2bNwtfXFw0Njb99H1q3bs2xY8eYPHkycXFx9O7dm4MHDzJlyhRu3rz51XWkpKSwsbHBy8uL3bt34+joSF5eHgBNmzbl6NGjTJs2jWnTprFs2TI+fvworlu/fn1Wr17N6dOnefr0KQYGBhw9epTi4uIvtqGjo8OBAwc4ceIEubm5mJmZ4ejoSEJCwp865vLfeVRU1FfLlr+GIAisX78ef39/XF1duX379j9yvSr5bTg6OuLp6cn79+//0PrS0tIEBweL19ra2pq7d+9SVlYGfHZ069mzJ25ubgwbNozNmzdTs2ZN2rdvz5MnT1BWVv4isPXx40fGjh3Lzp07v8h0kpaWZuDAgQwfPhw3Nzd69erFixcv8PDwoEqVKowbN478/Pyv7quioiIXLlzA2NiY69evY2FhwciRI5FIJPTt25fCwkLCw8PF7cyYMYM9e/aQlpYGwLVr1xg8eDBDhgxhy5YtdOrUiZCQEOCz+66FhQX5+fn4+flVCGy9e/fuDzmKV/JjcPHiRUpLS6latSpLlizB3d2dxYsXc/HiRfz8/P5QYAs+/wbNzMzYvn07w4cPJysri5UrV9KgQQPu379PcnIyGRkZZGZmUlxcTHZ2NhkZGaSnp5OdnY2JiYm4bkZGhtiurKwsdevWZdSoUWzdupWsrCxsbW15+vQpWlpaDBs2jP79+6OoqEj37t1RVFTEzMwMFxcXhg8fLt4P2traFBcXExkZKbYtIyMjOiEqKSkRFRVFSEgIrq6u3Llz5w+/C0aPHo2Xl9fvXi8gIID58+eTnp7+wwS2KvlxqMzc+g9RbmlsbW3NlStXsLOzIzU1laSkJN68eSN2aho0aPBF9lWjRo2+qLPOzMxk5MiRWFlZERcXh7+/Py1btkRdXR1jY2P69u3LmzdvmDt3Llu3bqV37944OjqyZMkSVqxYwZYtW6hZsyadOnXi4MGDtGrVitjY2AqdiW7dutGyZUsyMzPp3bs3AQEByMnJUVpaiqWlJaqqqqSkpJCSksLBgwdp0KAB7du35+PHj2hqarJz504WLVqEubm5mOExduxYkpOTadOmDYmJieTk5FClShXq1atH3bp1sbOzIy8vj/j4eA4ePIi5uTm5ubkEBQWJsxs9e/YUXbJycnJ49+6dmJ2VmprKlClT2LlzJ/Pnz6ewsJCCggLi4uJ49eoV8Fms8d69e5VlHz8Qo0aNYv/+/V8tZ1q0aBGDBg2if//+NG7cmJiYGKpVq0b//v2RkpJixIgRv1oaBJ9FbG1tbenRowc7d+5k3rx5tG/fHmtra9Gx7d+IRCIRU9fLNRosLCzEGcefU1ZWhpmZGf7+/ixatIj9+/ezePFi0Ynrt2wrPj6eyMhI7ty5g4eHh1hSOH/+fPr370+/fv3o1KkTbdu2ZcuWLcyePVu8f8uF4+Pi4ti1axd79+79fieiki+QSCSiC+G3Bq9/B2lpaYwZM4a1a9fSvXt38vLymDRpEgYGBkyaNOkX17106RLr1q3D2dkZQ0ND8XtBEAgODsbNzQ1LS0smT578RXlrYWEhx44dE3UmJ02a9IvP/EePHuHh4cGrV68YMWIEVlZWv+oeV74vZmZm+Pn5YWxsTEBAgPjvb0FfX5/79+9jY2PDhAkTKvWFfgCioqLYtGkTnp6ev3vdMWPGMH/+fIqKisRrvWLFCvr374+enh4SiYQ+ffrQt29fYmNjuXDhAsOHDyckJIRp06Zhb29foTS3qKgIKysrFixYQM+ePb+6TYlEgp6eHnp6emKb5b+xy5cvs3HjRjw8PH6TdENYWBgbNmwQHXVHjBhBcHAwcnJyhISEcOPGDW7evEnt2rVRV1enYcOGHD16FFNTU65fv46cnBwaGho8efKEbdu2oa6u/sU2vL29Rde8Sv5bZGRkMGLECCZNmoSvry+DBg3izJkzrFu37qu6ib+HlJQU+vbti5mZGTExMVy4cIH4+Hjmz5/P8OHDSU1NFU07Xr16xcaNGxk8eDDPnz8nPj6eq1evMnr0aO7cufPFGKHcBOvKlSskJCSwZ88enjx5QlxcHJs2bfrmPsXFxWFvb4+HhwctWrQQ3akDAgKQkpJi5syZzJ8/nyZNmhAaGoqtrS2RkZGkpKT8qXeBIAgYGBgQGhr6m0uoi4uLMTU1RU1NjXnz5n23sv2/g8rMrR+Dysyt/xDlqa8rV65ER0eH58+f07NnTxYtWsT58+cJCAggICCAgwcPVsi8Knc4/L+UB6kmTpzI48ePUVdXJzQ0lBkzZhATEyO6rTVv3pxx48ahrq6Onp4egiCwfPlyXFxc6NmzJ8rKykRERNC+fXvc3d15+vQp165d49ixY2RkZJCVlYWioiKBgYHExMTw8OFDXr58ibe3NwkJCVSrVo3OnTujqqpKYWEh+vr6ZGdn4+vri5OTE56enixYsIDOnTuLpYtPnz4lODgYJSUlqlSpQmJiIi9fviQ1NRVXV1dCQ0M5fvw4CxcupGXLloSHhzNs2DC2b9+OqakpAQEBnD9/nnv37pGfn4+6ujqjR49m3LhxtG7dmjt37rBo0SJu3LhBnz59MDIywsHBga5du2JhYcGaNWvo1asX8fHx/8AvoZI/Ql5e3lcDW5mZmURHR4uindLS0hQUFODr60teXh5ycnK/KKRdUlKCv78/VlZWjB49mtLSUqKionB1deXRo0dYWlr+qwNb8Hlm3cLCgmPHjuHr60v79u1Zt24dQ4YMYfXq1cTHx1M+TyItLY0gCCQnJ7Nnzx7MzMx+c2CrfFvdu3cXneDGjh0rZsotW7aMjRs3IggC5ubmJCYmcv/+ferWrYuUlFSFztXOnTtF99NK/joUFRXp3LkzRUVFpKen/2P7Ub9+fXx8fFi2bBlhYWEoKSnh5eXFy5cvcXBwEGetv8agQYMICAjg+vXr2NjYiNkyUlJSGBoaEhISgpycHIMHD+bChQv8fE6watWq2NnZERoaKooBr1q1iqysrK9uq0uXLuzZswdvb29KSkoYPnw49vb2xMTE/OLx5eXloaSkxIcPH6hZsyZ5eXm/eUBSVlbGixcvRHfR8ln/Sv7ddO7cmWbNmuHt7f27ssGjo6NRVFREU1OzwrUeO3Ysx48fBz7ft1WqVOHjx4/iALtZs2Y8ePCAtLS0CoGtciHr6dOnfzOwVd6mg4MD/v7+XwzaBw4cyN69e5k4ceI3Myp/Tr9+/Vi3bh0jRoxAIpEwceJE0e1NIpHg7+9P1apVUVVVxd7enuDgYMLCwjA2Nubw4cPUqlWLBw8eoK6uTsuWLb+6jbCwsApi3JX8NxAEgVmzZqGjo8OFCxcoLCwUJ7D/bGALPmvide/eHV9fX3x9fcU+i4+PD5cuXcLPz098h9SoUYPc3FxOnz5NaWkpdevWpW3btpiYmHx18rt///5s3LgRWVlZGjZsyKdPnwgKCmL9+vW/uE/t27fn6NGjTJkyhcjISFG+odydu0mTJrx69Yp3794xZcoU9uzZQ6NGjf70u0BKSgptbW3u3bv3m9e5du0aPXr0IC0t7YcKbP0cKeHv+1Ty+6kMbv2HaN++PQ8ePGDp0qVcv36dmzdvivpZv9X9opz79+9TXFxMz549kZWVxdbWltevXyMlJUW7du1wdnbG0tKSoUOHcu3aNWrXrk14eDijRo1i6tSpNG3alC1btnDhwgWxw/H06VM2bdrEkCFDsLe3Z8eOHWRnZ/PmzRtKS0vFDCt9fX2aNm3KmzdvcHd358KFC+Tn51O9enUkEgkdO3bkp59+Qk1NDQ0NDYYMGUJMTAzTp08nKioKbW1t6tSpw9u3bwkNDaV58+aYm5szfvx4UlJSSEpK4vDhw6ioqLB+/XpWrFhBly5duH37NosXLyYmJoaXL1+yadMmGjZsSFFREdra2uTk5PDy5Utu374titlfvnwZS0tLOnbsyPHjx+nRowdxcXGVZR//Idzc3HBychIDJ/Ly8nz8+JFdu3YhkUjYs2fPV++v+Ph4XFxcMDQ05Pr162RkZDBz5kwePHhASEgIxsbGP2Rmn7y8PEOGDGH//v0EBgaip6fH/v37GTx4MIsWLeLBgweUlZWhq6tL06ZN8fDw+MPbsrKywsbGhpEjR5Kfn4+ioiJz5sxh3bp1zJ8/n7S0NAICAtDX16ewsFAsSczKyuLdu3eV99/fhIWFBWVlZdy+ffsf3Y+aNWty5swZtm3bRmBgINLS0qxevRptbW2srKz48OHDN9etVq0aGzZswMnJCVtbWw4dOiQGsWRlZZk0aRJ+fn7ExMRgbGxMREREhfVlZGSwtrbm4sWLdO/enXHjxuHs7MybN2++uj1FRUUmTpxIUFAQdnZ2eHh4MHToUA4ePCiWSP6c8qBWUlISzZo1Izo6+jfZtcPnbICGDRsiJSX1mxzlKvn34OjoyKpVq/D29qZXr16cOnWKly9f8ktFF2vWrGHx4sVffN+yZUvevn1LQUEBycnJyMvLo6+vL76D+vbty+rVqytoWQmCgL29PYaGhr+pjKtWrVrUqVPnq1mcLVu2xNfXl927d1fQA/oWnTt3Zv/+/YwbN47OnTsTFhbGyJEjOXnyJJ06deLSpUvIy8tjYWHB1q1bUVZWJiUlhSlTprBo0SJu376Nnp4eZmZmvH79+ov2y++lSv5bHD58mLS0NO7cucOnT5/YsWMHzs7O381U5uHDh7Ru3ZqOHTsSGxsrfl+nTh3OnTtH9+7dGTBgAAUFBVSvXp0PHz7w8uVL7ty5w4ABA9DT0/tqUOnx48eMHTuW6tWrs2/fPlRVVXFycuLQoUO/aQzXuHFjfHx8WLRoEVevXmXu3Lm4u7uTn59P48aNefnyJVZWVmhpaX1X9+hRo0b9rtLE06dPA2BjY/Pd9qGSSn5OZVnif4zykh4NDQ0UFBS4cuUKBw4coEqVKkybNo2ePXv+aupobm4uBgYGeHl5iWVHxcXFNGrUiDdv3lClShVSU1MxNDSkYcOG6Ovrc/bsWQoLC+nXrx9bt25lzpw5nDx5EhkZGYqKisjLy0NHRwdpaWmSk5OxtramXr16HDlyBH19fWrVqsXevXu5desWrVu3RlpamtLSUi5evMjq1at5/vw51atXR1pamnbt2nH16lU6duyIjIwMc+fO5cWLF1y7do3k5GR69epFaGgo6urqyMnJceXKFcaMGUPXrl0JCQnh/v37tGjRgjdv3rBhwwYsLS2RkpKqcO5+/tKJiYlh1KhRSEtL079/f8aPH4+WlhZSUlKUlpaya9cuLl++zLZt22jZsuU326nk30tZWRnm5uZcuHChwveZmZnY2tqKqd0AHTt2ZPHixdjb2zNhwgQ2btwoLv/hwwdOnTrFhQsXaNGiBaNGjcLf35+UlBS2bNnyn9b3EASBhw8fcurUKXx8fDA1NeXixYv07NmT+vXri8L6v/VT7v4DcPXqVdzc3PDy8qJ69epYWVmxZs0abG1tSUxMJDw8HAUFBTZt2sSuXbvYuHGjaEtfyV9PdHQ0nTt3Zvjw4Zw5c+af3h2KiooYP348ZmZmjBw5Evg8YTN//nzc3d1p06bNL65fWlrKzp07uXLlClu2bPli+ffv37Ny5UpycnJYuXJlBR2fnxMeHo6bmxs1a9bExcXlV7dbUFDAmTNn8Pb2Rk1NjSlTpoiZBrGxsXh5eaGtrU1GRgZFRUU0b968Qhnl1yh3nEtLS+PVq1e8ffu28r30AxEREUFQUBDLly8XA1Y5OTkkJSUhCAJNmzalU6dOdOrUiQ4dOpCQkMCRI0fYvXv3V9vbt28ftWrV4uXLlyQkJDBt2jR69OgBfHYS7dOnD2/evBHfd66urtSqVYu5c+f+pv29evUqe/bswdbWFlNT068uU1ZWxurVq0lNTWXbtm0VnvVfIz4+XuxvVq1alcDAQCZOnIi3tzceHh5s2bKFw4cP4+7ujoqKCq6urhW0F589e8b06dNxdnYWnbnfv3/PvHnzOHr06G86rkr+/UgkEoKDg5k5cybKysq4uroyevToP+w4+i1Gjx5Nv379kEgkJCYm4u7u/sUyffr0QRAE9u7dy/Dhw0WDkc2bN2NhYVEhg6ysrIydO3dy/fp19uzZg6enJ02bNmXbtm0oKipy8eLF37V/+fn5jBs3DisrK+Tl5YmJiaF///4sWrSIDx8+cPXqVVFK4HthYGBAcHDwrwbhiouLMTExobS0lKCgINGt+EehvCxR58r7v60s8d6ABpVlib+TyuDW/wjJycm4u7vz8OFDsTzqax1ciURCz549MTAw4M6dO6xatYqqVauSl5eHo6MjgwcPxtTUlJkzZ4pOcF27duXWrVsoKSkhKyuLrq4u/v7+1KtXj7lz5xIUFERwcDAdO3Zk+vTpnDhxgtq1a4vCvcXFxcjIyCAtLY2amhoSiaTCrKS0tDTS0tJER0dTv359zM3N8fX1RVpaGhUVFerUqUNKSgpv375l0qRJWFlZce3aNVq2bImsrCwLFy7k1q1bzJ07lzp16hATE0NmZiY1atTA0NDwF53U/P392b59O7t27aJdu3bExsZy9OhRYmJi6Ny5Mw8fPmTkyJFMnjz5u79AK/n7SE1NZenSpRw4cKDC90uWLKF///4MGDBA/O7nQdqkpCRkZWW5cuUKx44dIy8vj5EjR2JmZsatW7dYu3Ytjo6O/1NBloiICHx8fNi0aRPz5s3j9u3byMjI0K5dOzQ1NWnSpAlFRUVIJJJf/Hz69KlCu9nZ2fz000907dqVsrIyYmNjRcv5+Ph4MWN10aJFDB48mEuXLn3Vxa6S70u505m6ujp+fn7Ex8f/K4InJSUlTJs2DW1tbezs7IDP4tITJ07ExcXlm66oPyc5ORlHR0e6dOmCi4vLF4PwJ0+e4OrqioqKCkuWLKFOnTpfbafcEbWoqAhnZ+ffVBqTkJCAh4cHjx8/xtzcnGbNmhETE4O8vDwdO3bEy8uLVatWfSH6/X8pFwpftWoV5ubmPH78+IfMGP1f5edOgrdv365w7crLv6Ojo4mJiSE2NpYbN27QvXt3unfvTqdOndDU1KRZs2Zi/yQ7O5vx48fz/v17WrVqhZubG/Xr1wc+B752794tlsju3LmT1NRU1qxZ85v3Nzw8nJMnT6KoqPirpVS+vr4cOHCAw4cPi/vwc/Ly8ti6dSvh4eHY29uzZ88e6tWrR//+/fHx8WH37t3Y2dlha2vLjBkzOH36NIMGDfrqtgoKCpg7dy4NGzZk2bJlnD17FolEwoQJE37zsVXy70UikWBqakr79u0JCgri6tWrv0nb7Y9gZGTEiBEjUFRU5ODBg5w/f/4LaYmYmBhWrFjB48ePMTAw4OHDh1y6dAkrKyv8/f3FINDbt2+ZMWMGBgYGTJ8+HSkpKR4/foyJiQk+Pj6cPHkSKysrdHV1f9c+lpSUMGPGDDp06MDly5fR0dFh9+7dbNq0iTFjxny3c1HO2rVr0dHRqdBX/hrlYv61atUSnVt/JCqDWz8GlcGt/zEKCwvFB6a6ujrTp0+vUPN88OBBYmNj2bZtG7NnzxZF5JWUlHj9+jXZ2dlISUmRkpKCrq4ugiCQk5ODgoIC+vr61KlThz179oi6Bxs2bGD37t2MGzeOVatWMXToUPT19dm+fTszZsxg6dKltGrViipVqjBixAjq16+PlJQU0tLSooZOWVkZHz58YOPGjZiamrJ582bmzp3LpUuX6Nu3L0+fPmXatGkMHToUU1NTjh49SlFRERs3biQ5OVkcJJeWltK+fXuWL19O3bp12bJlC0eOHGH8+PE4OztXOE9FRUXMnz8fQRDYsGFDhRdXcXEx69evJyQkhHr16iEjI8PIkSMxMTH512snVfJ1Hjx4QGBgIK6uruJ3WVlZjB07lsDAwAqBy969exMeHs7evXt5/fo14eHh6OvrY2tri5qaGhkZGcybNw9lZWVWrVqFkpLSP3FI/xjlDle9e/cWB9JVqlTh/v37XLp0iYiICKpWrUq/fv0YNGgQbdq0+c2B4cjISFxcXDh69CjLly+nTp06rF+/HldXV5SVlVFUVKRu3bqkpKT8JoH/Sv48P88smTVrFtbW1vTp0+ef3i3g84y4k5MTKioq4iRGQUEBdnZ26OjoMHPmzF/97QmCIGaIrF69Wsxy+Tk3b95kzZo1DBgwAHt7+2++B5KSktiyZQuvXr1izpw5oiHFL1FUVISvry9ubm7IycmhqqrKmjVrmDt37q+KyWdlZTF69GgGDRpEUlISO3fuxNXVFWNj4z9k+17JP8NvzQa/c+cOPj4+rFq1isePHxMTE0N0dDTJyckIgkCzZs1o164d27dvZ9iwYQQEBPDgwQOUlJQoKytj0KBBNG3alBUrVnDr1i3CwsJwd3f/XRN3UVFR+Pj4EB0d/ZvMDh4/fszs2bPZvHkzbdu2JS4ujlatWnHixAn8/PyYO3cuRkZGSElJUVhYyLhx44iLi6NBgwYUFRXRqFEjGjVqxLBhw9i3bx9eXl6/OKlx9OhRzp07R+3atVm6dOk3sy4r+bG4d+8ePj4+bN68+S99xuXm5mJnZ4eBgQG1atXi3bt31KtXDysrqy+WNTQ0RENDg82bN7NgwQIGDRrEgQMHOHXqFABnzpxh//79bN++XTQ8EASB6dOnc/fuXSIjI0lNTWXmzJmcO3fud++rIAgsXbqUxMREbty4gbS0NG/fvv1LJuJfvHjBunXrvpgg/r9MmjSJDx8+4Obm9oXj6o9AZXDrx6AyuPU/zMOHD9m7dy+ZmZlMnDiR5s2bM2fOHARBoHfv3gQHB1OtWjVat26NgoICt27dIjMzEzMzMy5duiQO3g0MDDAzM+Ps2bPIyspiamrKyZMn0dfXp0OHDigqKrJz5068vLzw9vZGWVkZAwMDlixZQqNGjdDX1+fp06d4e3t/c19TU1NZuHAhCQkJdO/encuXL9O9e3dCQ0Np1aoVxsbGjB8/ntzcXObOncuFCxfQ1dWle/fuHD16FF1dXXbt2vWFY05oaCiTJ09m+vTpLFy4EIDExERmzZqFvb39F2n1kZGRzJs3jwkTJjBq1CikpKTIysrC29sbf39/mjZtyrhx49DR0anM5PqB8PX1JTMzs4Kr2tKlS+nbt2+FDA+JRIKmpiZGRkZcuXKFbdu2MXDgQKSkpBAEgRMnTnDs2DHRse1/lWvXrjF+/PhvZvHk5uZy/fp1Ll26RGJiImpqagwaNIiBAwdSt27dX2w7Pj6eWbNmsWPHDiwsLLC2tiY8PBwLCwtUVFTw8PDA09MTZWXlv+rwKvkZ5ZklWlpa/x979x0VxfW3AfyZ3WXpRRQx9t5QY4klauxdEMTeNRqNXWPvYjdW0FiiRhNbhJ+KIrZYY4yKLTbsXayIdNh63z98WWb2zi5iUMR8P+dw2L1Td3bq3TvPYOvWrZgxYwa+/fbb7J4tE8YYAgICoNPpMGvWLNO2OmfOHDx58gRBQUHvdGtETEwMxo0bBzs7O8yePZs70WSMISQkBKtWrcK3336Lrl27WrzIfvnyJYKCgnDu3DkMGDAAvr6+GbYy3LhxI2JjY7Fs2TIUKFAAr1+/xvHjx5ErVy6Lw4waNQq+vr4YO3Ysnjx5gj59+uDUqVPUcusz1aZN/6Vu4AABAABJREFUG6xZswaenp6ScsYYLl26hM2bN2PPnj1o3rw5li5diqFDh+LEiRPw8/ODTqeDwWBAyZIlcfz4caSkpOD333/PdE7RzZs3sWbNGty+fRshISEZ3nIIvN22evTogVevXqFx48bYvn07xo0bh969e3O3ORkMBrRr1w7nz59Hu3btcObMGRw6dAiOjo5YuXIl3rx5g4kTJ1qd3pUrV9CgQQOEhoZ+MhXx5N+ZNGkS9u/fj/r165ueYPgh9nHHjx/H6dOn4e7uDk9PT9StWxffffcdtm/fzvU7b948/Pzzz2jTpg3Cw8Ph5+eHkiVLokuXLhg5ciQ8PT0xffp0yTayePFiaLVavHz5Et9++y0qVKiAYcOGoUePHu91TpmYmIiqVasiKioKpUqVws8//wwvL68PsmxatWqFnTt3Sm4JFtNqtWjZsiXc3Nxkl1dOkFa5VevwC6gcP0LlVlI8TlPlVqbRPRv/YdWqVcPatWuxdu1anDlzBvXq1cPXX3+N9evXw8fHB8eOHcOxY8fQpUsXHDp0CLdv34a/vz+WLVuGFi1aIF++fFi4cKEp2Fns0qVL8PX1xYULF1CoUCEAb8OhExIS0LBhQwwdOhRFixaFo6MjTp48iYEDB1qd19evX8PT0xOOjo4IDg6Gra0t7t+/j0GDBuHPP/9ElSpVMGLECEydOhVVq1bFDz/8gBs3bmDz5s0oU6YMDh8+LPso6GbNmuHIkSNYvny5afjhw4dj/fr1koqt1NRUTJw4EYsXL8bmzZsl9/G7u7tj4MCB2Lt3L4YPH45du3ahWbNmmDt3Lp48efJvvybyETx58gQFCxY0vY+JicH58+e5JtbXrl1D9+7dERQUhPbt28PNzQ2CIODu3bvw8/PD8+fPsXfv3v90xRYAlC9fHowxiydQLi4u8PHxQVBQEA4cOIDp06cjOTkZw4cPR4sWLTB+/HgcPnwYqampsuNes2YNhg0bhokTJ+LmzZvYtWsXYmNjERcXh+LFi1PF1kfk6OiIXbt2oU2bNoiKinqnoOiPSRAEU2vdYcOGwWg0QhAETJo0Cc2aNUPbtm0RHR2d4Xjc3d2xZs0a+Pv7y+bzCYKAjh07Yt++fXj9+jVatGiBI0eOyI4rb968mDVrFoKDg3Hnzh00bdoUGzZs4G7FFYuNjUXZsmVRpkwZLFiwAKVKlULfvn3Rq1cvnDhxggsYv3//Ph4/foxy5crh/PnzSEhIQJs2bahi6zN19OhRlC9f3lSxFRcXh//973/o27cvWrZsiS1btqBVq1b4+++/cfXqVUyZMgX79+9HuXLl8Ouvv2LJkiXYuHEjZsyYgVy5cuHWrVvYtWsX3rx5k6n5sLe3R0pKCqpUqYKLFy++0zDu7u6YNGkS6tWrh7lz56Jz586oVKmSbH6PUqnEsGHD4Ofnh6VLl5puSweA77//Hnfv3sXBgwetTs/T0xPNmjXD6tWrsWjRIqvh/OTTt379eqSmpuLPP//Ey5cvMW/evA+2j7tw4QKqVasGg8EApVIJd3d32NjYmJ6OmOaff/7BqVOnUKNGDZw/fx4VK1bE9u3bERUVBT8/P/Tu3Rtz5syRVGyFhYXh2rVrGDduHLy9vU0tH8eOHSvJdn1Xaa3A2rRpg9atWyMmJgbh4eHw9fV95yevZkbz5s2t5oMdPnwYDg4O6N27d5ZPmxAxqtwiAN7mJERERKB27doYOXIkVqxYgWvXriE6Ohq//fYbPD094enpiR07dmD48OE4dOgQSpUqhf3796NJkybQaDRo06YNunXrhidPnuDEiRMoU6YM8ufPj7///hvnzp2DSqVC+fLlsWTJEvzxxx8QBAERERG4desWvvrqK6vzFxMTA1tbW9y5cwcGg8F08Lpx4wYUCgWaN2+O33//HUuWLEFkZCR27tyJPn36wMPDA8+ePYOvry/atGkj+/fDDz/Ay8sLO3bsQGpqKvR6veTX8L///hutW7dGzZo1sXHjRtlsiDRly5bF3LlzsX//fnz11VeYOHEi/Pz8sHnzZtmnB5FPw5MnT0yVsACwdOlSjBw5kmt95+XlhZMnT5qehlmqVCn8+OOPGDVqFBYvXowxY8bkuIDMDyFv3rzQaDQwGo3v1H+hQoXw7bffYvPmzdi7dy86deqE8+fPo1OnTvDz88PChQtx6dIl0/hKlCiBX3/9Fb/99hsMBgOuX7+OFy9eYM+ePRgyZMiH/GhEhqOjI7755hu4ubnhn3/+gUajye5Z4owcORKVK1dG3759odfrAQBt27bF7Nmz0bFjR1y7du2dxtOwYUOEh4fj7Nmz6NKlC54+fSrpbmtri+HDhyM4OBgHDhyAv78/rl69KjsuFxcXjBkzBuHh4dBqtWjRogUCAwNlLzxiY2Ph6uoKxhiuXr2KTp06YceOHQgICMAff/yBZs2aYdGiRaaKuqlTpyIgIAC9evWC0WjEgAED/vVj38mnKTExERMnTkSDBg0wc+ZMNGrUCG3btsWBAweQP39+lC9fHg8fPsTixYvRq1cvqNVqnDx5Em5ubmjQoAGGDh2Kxo0b45tvvoGfnx+CgoLQuHFj/P333xg0aBBatGiBAQMG4LfffsO9e/esVgalVW7Vrl0bf//99zt/hi+//BIHDx7E5MmT8ffff1t90u2WLVuwb98+DB8+HCdOnDD1KwgCli9fjoULF+L+/fsWhz948CCKFy+OVatWwdbWFp07d7b6JFXy6Tp48CD++OMPLFiwAI6OjmjdujVu3LjxwaZ34cIFVKlSxVS5BQDdunXD5s2bTf3ExMTghx9+wLp169C1a1dER0fDYDDAYDBg/fr1mDBhAtdi8NKlS1i1ahVWrlwJQRBQt25dnDhxAgBQsGBBeHh4vHNlcZply5ahWLFipqcwtm3bFgEBAahTp46pQjgrdezY0eodOCEhIXjz5k2GD0HJEdhH/COZx8h/WmJiImvRogX7559/JOW3b99mLVu2ZLly5WL16tVjpUqVYkWKFGFnzpxhTZo0YePHj2elSpVi3t7ebPfu3Wzp0qWMMcZevHjBKleuzIoVK8bKlCnDOnXqxE6cOMEaNmzIAgMDWdu2bVmTJk2Y0WhkMTExrEiRImzo0KGsVq1aLDEx0eJ8hoSEsDJlyjB3d3c2Y8YMdvToUXbv3j3m6enJEhMTmcFgYCtXrmS5cuViNjY2bNiwYYwxxkaMGMG8vb2ZwWCwuhzOnDnDRo4cyRhjbOrUqSwiIoIlJCSw4cOHs379+rGYmJj3XsZxcXFs7dq1rFWrVqxv377szz//ZEaj8b3HR7Je165dWVxcHGOMsZiYGNaiRQuL31FiYiKLiIhgx48fZ02aNGEbN26k71NGwYIF2fPnz//1eJKTk9nBgwfZmDFjWPPmzVm3bt3Y+vXr2ZMnT9izZ8/YN998w77++mvWunVr9s0331jdj5APa/jw4QwAmzhx4if7PQQHB7OOHTuylJQUU9mLFy9Yy5YtWVhYWKbGdfnyZda8eXO2atUqi8eYBw8esN69e7N+/fqxJ0+eWB2fXq9n27ZtY02bNmUBAQHs9evXpm4jR45kERERrEePHmz48OHs1q1bkmF1Oh3bvXs3a9++PWvRogXz9vZmx48fZx4eHkyhULDHjx9n6rORnCExMZE1aNCADR06lBUtWpTVrl2bDRw4kM2bN49t3LiRHTlyhN28eZPbHvfv38+WLVvGGHt7/Lt//z77/vvvWc2aNdmoUaNYiRIlWKFChdj06dPZjRs32IMHD9jmzZvZwIEDWYsWLVjHjh3Z4sWL2ZkzZ5hWqzWNNyEhgXXu3JnFxcWxjh07ZuqzDBgwgIWGhlrdd2g0Gubp6ckOHTrEatasyUaMGMH1c//+fdakSROWnJwsKTcajezmzZusXLlybPLkyaxx48YsMTGRnTlzhjVs2JCdP38+U/NLstfFixdZy5YtJfvyGzdumM7lP4RWrVoxxhgLDAxkBw8eZIwxptVqWdOmTRljb/fhvr6+pnUpJCSE1atXjxUsWJCVK1eOxcfHs2bNmrELFy6Yxvn06VPWsGFD9urVK8m0unTpYip78OBBprankydPss6dO7MOHTqwq1evsiFDhrBatWqxoUOHsnr16n2w47OPjw9LSEjgyjUaDatevTqbMWPGB5nuxxIXF8cAsFqHXrC6p1I++F+tQy8YANP1CXk31HLrP0yn06Fnz54YP348vvzyS1P5gwcPMHr0aLi4uKBChQooVKgQUlNT0bZtW4wePRpqtRpz587FpUuXYGtri549e+Lq1at48+YN8ubNi0KFCplabX377bfYuXMnbt++jUmTJqFLly6oXLky/vzzT9y+fRudO3dGUFAQvvrqK5QuXRrHjh3jfhW8c+cOpk2bhri4OPTq1QtVq1ZFZGQkihYtigIFCqBOnTrw8PDAmDFj4OPjg9q1a+PKlSuYNm0awsPDUbx48QzzTJRKJf744w9Ti5znz5+bmvKuWbPGaq5JRlxcXNC3b1+Eh4djwoQJOHToEJo2bYoZM2bgwYMH7z1eknXi4+NN97NbarWVxmg0YvPmzdiwYQO2bt2K7t27U76aDAcHB6u/nr8re3t7NG3aFD/++CP279+PRYsWQa1WY8qUKejVqxfKlSuHR48e4fLly6hbt+4Ha3JPMjZ69GgUKFDAlMP1KX4PHTp0QJ8+fdCxY0ckJiYCeNvScOfOnQgNDcWCBQve+TalihUrIjw8HHq9Hj4+Prh+/TrXT5EiRbB+/XoMGjTI9BCVhIQE2fEplUp07NgRBw4cQM2aNdGrVy+MGjUKUVFRiI2NRXx8PIoVK4a7d++iRIkSkmFVKhV8fHwQHBwMvV6P0qVLo02bNlCr1Rg8eDB69+79SX4f5N+5du0a6tevj6CgIPTs2RNLly7FihUrMG7cOHTv3h0NGzZE6dKluRZ79+7dQ/HixU3nIFevXoVarcbhw4fx1VdfoXnz5ujbty+ePn2KJUuWYMCAAXj27BkmTpyIffv24eeff0b58uURFhYGf39/eHt7Y/LkyTh27JjpeJqQkJCpW/6MRiNq1KhhtXXhmjVrkC9fPjRu3Biurq549eoV16LF09MT7du3R6tWrRAQEIBu3brB29sbbdq0wfjx49G6dWvMnDnT1IKlRo0aCAkJwezZs/Hzzz/TbYo5wKNHj/DDDz9g48aNkgd4lCpVCrdv3/4g00xKSjKtm+KWWzY2NvDy8sKlS5cwZcoU+Pv7o2rVqmCMITg4GMnJybCzs4OjoyOcnZ2xdetWjB07FtevX0dycjJ69+6NFStWcHmjLVu2xP79+wG8PY64urqanmRqzYsXLzBlyhS0bNnSdKvyo0ePcOjQIdy4cQOCIMDBwSGLl85bvr6+2L17N1d+6NAh6HQ6Sa4tIR8KVW79R6XdptCtWzfUr18fwNud9dKlS9G9e3fExMSgRIkSKFWqFJ4/f44ePXpgyZIlqFKlCs6cOYP9+/fD1tYW//vf/1CsWDG8ePECPXv2xNChQ5GYmIjExETUqlUL9erVQ3R0NCZMmIClS5di0aJFuHTpErp27YqTJ09i//79mDBhAq5du4aiRYvCx8cHNWrUwK5du0xNeEeMGIFq1arBw8MDnTp1QtmyZREeHo527drhxo0buH79OqpUqYLTp0/jyZMnCA4ORlhYGLy9vVGzZs13ujUqPDwcixYtQv369VGoUCEcOnQIu3fvtvhY6fdVokQJBAQE4ODBg6hXrx5mzJgBHx8fbNiwweIFD/l43rx5g4iICIvf+549e+Dr6wtvb2/88ssvGYaf/5flz58fly5dyvLxenp6omvXrvjll1+wf/9+jBgxAr6+vvD398ecOXM+WJN7krGnT5/C398fS5cuRa1atT7Z76FFixYYM2YM2rdvb8oUsrW1xZo1a6BUKtG3b1/ZvDc5SqUSgwcPxurVqzFt2jRMnz5d9rbMKlWqIDQ0FLVr10bbtm2xcuVK6HQ62XEKgoDmzZsjLCwM7du3x8iRI3HkyBFcvnwZhQsXBmPM4g82e/bsQd26deHi4oLKlSujbdu2CAoKou3iM+Xl5YW//vrL9MOctdv5xO7evYvixYsjMDAQ3bt3x9KlSzF//nw4OjqiU6dOuH37NqZMmQJHR0dUq1YNYWFhKFeuHCZNmgRvb2/8/vvv+OqrrzBz5kyEhYVh586d8PPzw927d/HPP/+gRYsWePjwIQIDA/HgwYN3qjDSaDQWw6iBt+eoafmojDEULFgQtWrVQrdu3TB8+HDTsblnz554+PAh8uTJg6SkJKxYsQJ79uxBWFgYNm7ciIsXL2LUqFE4dOiQaXnlzp0bISEhpgcsvXz5EhEREVQh/AmKjY1Fnz59sG7dOuTOnVvSTaFQwGg0vnMkQmb8888/qFy5MgBp5RYA9OzZE5MnT0ZiYiJ69uyJFy9eoEOHDoiOjsb69evh6OgIhUKB6OhouLu7Y9OmTRg0aBA6d+6MsWPHomzZstz0WrZsib1795rejx8/HvPmzbM6j3q9Hv369cPMmTPx66+/YsKECQgKCsLw4cPh6OiIwMBAJCcnY9OmTVmzUMz4+/vLPtnxt99+Q6FChZA/f/4PMt2PTWAf749kHlVu/UeNGzcOtWrVgr+/PwDg8uXLaNy4MUJCQlC4cGEUKlQI9+7dw7Bhw7Br1y6cOXMG06ZNw+nTp8EYw8GDB9G0aVMsXrwYefLkQcOGDVG2bFn07t0b165dw5UrV1CqVCn4+/ujc+fOGDRoEPr27Qt/f3+0bNkSTZs2hUqlgr29PXbs2IHKlStj/vz5CA4OxtOnTzFixAjky5cPYWFhCAkJwcWLF2EwGBAeHo7+/fsjIiICx48fh7OzMx4+fAiDwYD+/fvjl19+Qd68eeHo6Ijq1aujbNmyePz4cYbL46+//kJycjJmz56Nfv36ITAwEE5OTh9s+SsUCjRo0AC//PKL6dHV3bp1Q+/evXHkyJEPcmAm8hhjppZXgYGBGDFiBNcS69mzZ6YK2fDwcMkTFIm8UqVK4cqVKx90GoIgoFy5cvjxxx9x9erVTF/gkazl5eWF06dPY8iQIdi+ffsn/T188803mDNnDjp06IDnz58DeLs+/fDDD+jQoYPpARHvqmDBgti2bRsqVqyIVq1amfJSxARBQMuWLXHgwAHY2tqiRYsWCA0NtXrh//XXXyM4OBhFixbFli1bsGbNGovHJr1ej6VLl6J169a4evUqzp8/j507d2Lq1Km0XXym0h7o4O3tnamHBdy/fx9ubm64desWVq9ejaCgIFMLGEEQUK1aNVy8eBELFy7E6dOnERoailatWuHXX39FcHAwcuXKhYEDB6Jdu3bYvHkzNBoNvvrqKwwfPhzVqlXDvn370LdvX9y+fRvz5s1Dq1at0LlzZwQGBuLcuXOm3DvgbYuYtIok88otrVZrylHt2bMnnj17ht9//x0+Pj549OgRDh8+jGbNmsHe3h7bt2/Hnj17EBISgjlz5iA4OBiPHj2S5OmlLS8fHx/Y2NhIflRUKBSYMGECOnTogLp16yIsLOyTbYH6X6XRaNCjRw/Mnz8fxYoVk+2nRIkSWdJq3NyFCxdQtWpVAHzlllqtxunTpzFv3jyEhYWhW7dumDp1KvLnz4+CBQsiT548SE5ORnBwMIC3P9JVrFgRt27dQpkyZWSnlydPHsTGxpp+BClevDjs7e2t5kNOnjwZXbp0wfr16zFr1ixoNBqcPXsWDRs2BACUK1fO9FRp8weBZYVcuXKZniKfRqvV4sKFC5SHSj4aqtz6D1q4cCFcXFzQv39/pKammpqv63Q65MmTx3SA37p1K7788kvJydORI0dQtWpV3Lp1C926dUOBAgVw5coVREZGgjGGLVu2wN3dHW5ubpg6dSri4uKQmJhoOpEZM2YMLl26hLp16+Ly5cvo168f5s6di+7du+PIkSMICgpCuXLlEBsbC71eD51Oh6pVq+L69euIi4tDSkoKrl27Br1ej3PnzqF69eqwt7eHXq+HQqFAgQIFJJ/VxcUFUVFRVpfHX3/9hUePHiEiIgLh4eGoU6fOB1v2cpycnNCzZ0/s3r0bAQEB+Pvvv9GsWTNMnjz5gzWvJumio6Ph4eGB2NhYnD59Gs2aNTN1MxqN+Pnnn9G7d2+MHz8ec+fOhb29fTbObc7h5eWFO3fufJRpve8FHslajo6OOHr0KNatW4e7d+9KLmA/RVWrVsWyZcvQtWtXPHz40FTesmVLLFmyBF27ds1UiK8gCGjXrh22b9+OrVu3YuDAgbJB1UqlEt9++y12796Na9euwdvbG2fOnLE6bmdnZ9SqVQve3t549eoVfH19ceTIEUnF2C+//IKOHTti6tSp+Prrr5GYmIhvvvkGPj4+tF18xtJ+zMvM96vRaEwPC2rRogVX8dm2bVvs2LEDCoUCq1evRkhIiOkphA4ODujYsSOCg4Oxbt06aDQadOvWDV27dsWuXbug1+shCAJ8fX0hCAJWrVqFffv2YdWqVShdurSplZePjw/Gjx+PJk2aICwsDJcuXcIvv/yCMWPGoG3btvD29kbnzp2xYcMGvH79GleuXEHz5s2xf/9+7NmzB9u3b4dSqcSSJUtw/fp1PHr0SPIZBEHAzz//jClTpuDevXumCjRHR0c0aNAAK1euRN++fbkWlLlz54afn5/k1kWS/YxGI7777jsMGDDA6kOoqlatigsXLmT59M+fPy9buRUXF4ehQ4fiu+++Q/v27XHs2DHs2bMHlSpVQlxcHB4/fozKlSujd+/eWLNmDYC3LZnUajXCw8PRq1cv7mmLab755hv89ddfpvfWWm+FhoYiOTkZnp6esLe3x9dff41Vq1Zh4MCBkh9sBw8ejPLly2P06NFZslzMpR0D06TdWvk5/ShMLbc+cdmS9EWyza+//sqGDh3KjEYjO3bsGKtQoQIrVaoUq1+/PuvevTuLjIzMcBwdOnRgCQkJbMaMGax169Zs9OjR7MaNG2zYsGGsTJkyrECBAmz48OGsfv367Pnz5ywwMJA1atSILVmyhMXHx7Pk5GTWrFkz1rx5c7ZkyRL2v//9jzH2NpRx0qRJrEuXLmzGjBmsWLFiTKlUMhsbG1awYEE2dOhQVrhwYRYaGsp69uzJXr58ydq1a8datGjBTp8+zbZs2cKmTJkimdepU6eyZs2aSYJ50xiNRrZlyxZWvHhxtnbt2qxZwFnEaDSyv/76i/Xv35+1bNmSrV69mr1584YxxkwBqJ9qYHNOc+HCBTZ16lQ2ffp0tm/fPlN5ZGQka9myJQsKCmJ6vT4b5zBnOnHiBCtfvnx2zwbJBlu3bmUAZMOeP0X3799nDRs2ZDdu3JCUv379mvn4+LCQkJD3Gu+JEydYo0aNWEhIiNWHTrx48YINHjyYde3ald25c0e2Hx8fH+br68vGjx/PLly4wF68eMEmTZrEmjdvznbs2MHi4uJY48aN2U8//cQCAwOZs7MzEwSBC9UmxGg0spYtW7Lq1auzDh06yK6bBoOBNWvWzPQ+JSWFtW7dmp06dcrieJ89e8YCAwOZh4cH69u3L/vjjz9YkyZNLJ6vaDQa9ssvv7CxY8cyxhgbNmwYmz9/PouMjGQajUbS78GDB1n9+vXZ0aNHJeWtW7dmWq2W3blzh7Vp00b2s5w7d46VLl2aTZ061RQinyYkJESyn0pKSmKdOnViVatWZSNHjuT6J9ln/PjxbNWqVRn2988//7AJEyZk+fTTwuQZY2zGjBnszJkzzGAwsPbt27O1a9eyOnXqsAYNGkiG8fb2ZkuWLGH79u1jqampLG/evGzWrFnMz8/PdF4ZGRnJGjduLHudcuXKFfbDDz9Iynr27MmuX78uKbt16xZr0aIFe/PmDWvYsKHpWqtJkybcw06MRiNr0qQJGzVqFNuzZ8+/WiZyEhMTmY+Pj+l9kyZN2MSJE7N8OtkhLVC+9sEXrN7JlA/+V/sgBcq/D2q59R+yd+9eHDx4ENOnT0fHjh3RpUsXCIKAmjVrYvXq1di4cSPKlSuX4Xg8PDwQExODKVOmoFKlSti3bx9iY2MRGBiIVatWoX379li6dCmqVKmCLl26ICEhAaNHj4abmxs6deqEqVOnYtasWXj58iXCw8Nx8+ZNXLlyBa1bt0Z8fDwSExPx4MEDbNmyBYcOHYIgCKbHU3ft2hVLlizBrVu3cODAAVy6dAndunVDzZo10aVLF0RFReHYsWOmeX316hUaN26MI0eOSD5DVFQUOnbsaApV7dOnT1Yv7n9FEATUqVMHq1evxvbt2+Hs7Iw+ffqgc+fOaNKkCcLDw6m5fBZ5/Pgx3N3dcerUKTRv3hwajQYBAQGYOnUqVq9ejaFDh0qan5N3U65cOcTHx2f3bJBs0KlTJ9jY2GDFihV49epVds9OhooWLYrNmzdj0KBBkpZa7u7u2L59O44fP44ZM2ZkOmi6bt262Lt3L65du4ZOnTpZvEU+b968WL58OaZOnYqJEydixIgRiI6O5vozGAy4ceMGvLy8kDdvXsyaNQvBwcG4e/cuKleujKJFiyI0NBSXLl1CcnIyatWqRS1NCef169emBxSsWLFC9oEoCoUCpUuXNj0kwc7ODlu2bMHUqVNx9epV2fHmy5cPw4YNQ82aNTFx4kT89ddfuHfvHrZs2YLatWsjIiJCErmgVqvRsWNHnD9/HpMnT0ZoaCh69uyJcuXKQa1WS8YdFBQExhjq1asnKa9RowYiIiJQokQJ1K1bFxs3buTmy2AwoE2bNggICOBaYrVv3x42NjbYunUrHj9+DD8/P/Tv3x9//vknzp07Ry0ePxGrVq2CIAgYMGBAhv2WL1/e6q177yMlJUWyL01ruRUQEACtVosjR45g9+7dcHd3N+U4ph0vDh8+DCcnJ2zduhXOzs54+fIl4uLiTLmO5cqVw4IFC0zXS2JeXl7c9jZhwgRJ663k5GQMHDgQa9aswZw5czB69Gg4Oztj/fr16NOnD5fPKAgCOnfujFKlSmHRokVZnvfr6OgIV1dXPH36FBqNBlevXsWIESOydBqEWEOVW/8Rp06dwurVq1G/fn2ULVsWf//9Nxo0aIAdO3Zg48aNFu/5luPh4WG6YElOTsb69esRFBSEuXPnomrVqvjnn38wYsQIHDx4EJs3b0b9+vVx8+ZNHDp0CABw8eJF9O/fHwBw48YNvH79Gm3atEFycjLKly+PDRs2oEWLFggICMDatWvRpUsXXLp0CSNGjMC2bdswatQodOrUCSNHjoRWq5WcmAUGBmLmzJl4/fo1AODly5fw8/MzNadnjGHt2rXo168fAgIC4OfnBy8vrwyfppid7O3t0aVLF+zcuRPdu3dHvXr1ZE/SyPt58uQJzp07h+HDh+Ovv/5Cq1at4OXlheDgYBQqVCi7Zy/Hcnd3h1arze7ZINkgOTkZZcqUQf/+/VG/fv0cUQn/xRdfICQkBOPHj8fJkydN5TY2Nli2bBk8PDzQvXt3JCcnZ2q8tra2mDZtGgICAvD9999j+fLlMBgMsv2WKVMG27ZtQ/v27U25MikpKTAajabjnE6nk1z4u7i4oFu3bihXrhwuXbqEx48f448//sDAgQOhVqtzxLInH9fVq1dx6dIlzJkzx+pDUfz9/bFz507TexcXF2zevBnDhw/PMNOoePHiaNWqFXr06IGlS5eicePGaNOmDcqWLYtWrVph0aJFiIiIgFqtxq5du+Dr64v8+fNj6NCh3PZx5swZODg4oH79+ty5WtOmTU3ndyNHjsSmTZu4LKHU1FSEh4dbzGScM2cOfvrpJ7Rv3x4rV65Eo0aN4OjoCDc3N6rY+gSEhYXh9OnTmD179jv1b2NjA71en6VPvbx8+TIqVapkep+SkoIVK1Zg3bp16NChA3766Sfcv38fBQsWRK9evdCrVy+0aNECFy5cwIULF/DHH3/g7t278PHxQWBgICpXrizJZaxSpQqmT5+OLl26SI4xgiCgVKlSuHXrlqmsbNmy0Ov1uHPnDhhjGDx4MCZMmIAXL17g+fPnaNWqFXQ6HbZv346OHTvKfp5u3bph+/btmDRpEiZOnJhlyylN2m3LmzdvRsGCBeHh4ZHl08hOAhM+2h/JvE/3ip5kmcjISIwdOxaRkZEYOXIkatasiRMnTmDLli0oWbJkpsfn4eFhOnm4e/cuqlatik2bNiFv3rzo3r071q5di6ioKLRv3x5jxoxBzZo1MWLECGzatAl79+7F9u3bsXjxYhQqVAh+fn5YtGgRfH194eTkhJ07d6Ju3bo4ceIEFi9eDCcnJ4wbNw779u1D165dMWTIEAwePBjLli1DuXLl8O2332Lbtm3w8/PD4cOH4ejoiAULFmDQoEFgjEGr1aJ06dJ49OgR7t69Cz8/PyQmJmLPnj0oX748goODLe78P0UNGzbE+fPnKTg7C12/fh0XLlxASEgItm7diu3bt6N9+/ayv2aTdycIAgRB+ORzl0jWu3btGvz9/bFs2TI0atQIf/75Z3bP0jtxd3fH//73P8yfP990wZxm4MCB6NevH/z8/PDkyZNMj7tcuXIICwuDWq1G69atrT5sIa3FV/HixdG6dWusXbsWNjY2cHR0RN68ebn+AwIC0KhRIzRo0ADA28exL1u2DPXr16cfQIhEUlIShgwZgn79+mHFihVWKz+/+eYb7sEIHh4eWL9+Pfr27ZvhAxfET3K8fPkybt++jZ9//hl58+bFtm3bMH36dHh7e6NLly7Yv38/FAoFWrRogfHjx0vGs3jxYqhUKvTo0YObRvXq1XHu3DkAgEqlwrx58yRZQqmpqZgxYwYOHDhgMZNx06ZNcHd3h62tLff0PZK9zp49i59//hk///xzps7JChQokGHebmacP38e1apVAwAkJiZi+/btcHBwgIODAzZt2oTBgwdj9+7dqFy5Ml69eoXFixdj8eLFqF+/PgYOHIiAgAAkJCTg77//xrRp03D27FnMnz9f8jTEr7/+Gj/88AO6desmeeKut7c39uzZI5mfCRMmYO7cuaYcu3r16mH8+PFYtGgRAGDr1q3o1KkTVCqV7Oexs7ND7dq1AbzN3/v777+zbFkBQPPmzREeHo65c+dSqy3y0VHl1mcsKSkJu3btQoMGDXDmzBnkzp0bV65cQVhYGIoXL/7e401rucUYg9FohFKphCAI6Nu3L3788UcMHDgQzZs3x61bt9CuXTtuR52amorg4GA4ODggIiICo0ePxuHDh6HVatG4cWNMmzYNBQsWxOLFi7Fz506MHTsWnTt3xpo1a5CamooqVaogJSUFZ8+ehcFgQMeOHbFmzRocP34cLVq0wN27d1GjRg0sXboUb968QXx8PJKTk/Hdd99hyZIlGDFiBJRKJRhjOHXqFGrVqpUVi/ujoODsrJWUlITw8HA0bdoUN2/exIIFC+Dm5pbds/XZcHBwwIMHD7J7NshH5uXlhZMnT2LcuHEIDQ3FpEmTsnuW3pmzszOCg4OxZs0aSSgu8PbHhZUrV6JXr144ffp0psetUCjQv39/rF+/HnPnzsWkSZNMt6aYEwQBHTp0wP79+/H06VOcOHEC0dHRqFKliqS/yMhIxMXFITw8HM+fP4fRaERoaCimTJlCP4AQzrVr19C4cWMEBgaiUqVKXGSDmEqlQv78+bmg9sKFC2PFihXo3r277AMT0pifrzg7O6NBgwbYsGED/vzzT/Tt2xdubm5QKBRgjCE6Ohrh4eHYuXMnWrZsifDwcJw6dQqOjo6IjY1FqVKlZOfR0dERcXFxAN6GiefLl89UaTBlyhSMGDEChQoV4kL39Xo9Ro0ahVu3bmHnzp1YuHAhvvvuO3pa9Sfi3r17mDBhAjZu3MjdppqRqlWrZuphIBlJe1LizZs3Ubt2bbRq1QrLli1Dly5dMHPmTGzevBkBAQHo06cPvvzyS0RHR+Pp06eIiYlBkyZNsG/fPuh0Ohw5cgTe3t7Yv38/9u7diwMHDmDYsGFISUkBADRq1Aj9+vVDr169TD8MNmjQQBK3Arw9xj5+/Bh79uzBuHHjsGjRIvTq1QseHh4wGo347bff0KtXL6ufaeDAgVi5ciXmz5+PKVOmSK7T/i2dToenT5+iZcuWWL9+/WfXgpgC5T9tVLn1mUpKSoKvry8OHz4MBwcHnDp1CqdPn7b46NzMyJs3L169eoUnT55wt22VLVsWYWFhuHbtGi5dumTKs+rUqROio6Mxe/Zs9O3bF3369MGgQYOQK1cuhISEYMWKFThy5AjGjh2LTp06YezYsahTpw5+/PFHhIWFYdeuXZgxYwbi4+Oh0+kwaNAgODg4YN68eRg8eDD69OmD6Oho1K1bF3v27MHGjRuxfPlyfPXVV6hevTrKly8PPz8/SaXe1atXUaFChU/6lkQ57/NkJCLv2rVr6N69O5YuXYomTZpQK4csli9fvg/y1CLyaUu7qG3fvj0cHR3xzz//IDw8PLtn652l5Qvt3r0bGzZskHQrUaIEduzYgQULFsjm+7yLL774Alu2bEHNmjXRqlUrHD161GK/arUabdu2RY0aNfDkyROEhIRIWn1NmzYNtra2qFmzJlxcXHDnzh2MHz8ebdq0oR9ACCcyMhJ79uzBtGnTcO7cOQQFBWH9+vUWb+Fq27YtQkNDufKyZcti/vz56Nq1K3erriAIpgoiS+crdnZ2aNeuHbZt24b169fjiy++QGxsLFxcXBAYGAiDwYA9e/agXbt2+Ouvv5CcnIyQkBDZ1mINGzaUbEPTp0/HwoUL8ccffyAmJgbe3t7cMLGxsejQoQOqVauGOXPmQKlUokaNGmjatKnp9je1Wk231meT169fo1+/fli/fv17/eCY1U9MjIqKwrp16zBmzBg8ffoUZ86cwahRo3D48GHuB4SePXvit99+Q1RUFF6+fIn8+fNj0aJFWLhwoWR7sLe3R2BgIFq2bAlvb29cunQJANC6dWu0a9cO/fr1g9FohJ2dHezs7CQVydHR0YiNjUWuXLmwY8cOnDx5Et26dQPw9qmJrVq1gq2trdXP5OnpiVy5cuHFixcYNGgQ5syZk2XL6/z582jSpAmCgoIoQoV8dDnrqp68s2vXrqFu3boICgpCr169svSXqLSWW5cuXcKXX37Jdbezs8OSJUswdOhQtGzZEoUKFUKZMmVQtmxZFC5cGF26dMHUqVOxd+9erFq1ClWrVsU333zDjSckJATt27cH8PYX75MnT+Lly5fYs2cPJk+ejNatW2PHjh1wd3fH5cuX0ahRI9SvXx+NGzdGkSJF0Lp1ayxZsgQdOnRAly5dcPz4cW78HTp0yLLlQnIeLy8vUzNxauWQ9YoVK4bLly9n92yQbJB2Ep92y1Dnzp1z1K+3NjY2WL9+Pc6ePYvAwEBJN1dXVwQHB+Py5csYP378ex9f27Rpg9DQUOzcuRP9+vVDTEyMbH+xsbEwGo3Inz8/Vq5ciSVLluC7775DSEgIbGxskJycjEuXLuF///sfChUqhMGDB9MPIISTlJSEKVOmYO7cufD29sa+ffuwf/9+vHr1Ch06dMCzZ8+4YZo0aYI//vhDdnzVqlXD2LFj0aNHD0klkJ2dXaZageTKlQvfffcdatasiYCAAFy5cgVarRb79u1Dly5doFAoMHPmTCQkJGD8+PFo2bIl+vbtiw0bNuDu3bumh+xEREQgKSkJDg4O+OGHH/Dtt9+abtMSu3nzJvz9/TFx4kR07dpV0u27777Do0ePsH//fjg5OSExMfGdPwfJGikpKejevTuWLFny3rmnFStWzLJzj+PHj+P8+fMoWbIknj59ii5duuDIkSNo1KgRnJ2d4eDgIOn/66+/xpkzZ3D37l24uLhg8ODBWL58ucWHe7Rs2RJbt27FzJkzsWTJEhiNRnTo0AENGjTAkCFDwBhD8+bNTbfKGwwG9OvXD0FBQTh//jz+/vtv0x0qjDGsXr3alGuckWHDhiEoKAj+/v64ceOGxYdFZMaVK1fQoUMH7N69G1OnTqVza/LRUeXWZ0qcdZDVO5aMKrfSDBw4EEWKFEH9+vVx+/Zt+Pv7Y8SIEXj+/Dm2b9+OuXPnomjRorKZPJGRkShSpIjp5PzQoUPYtm0bVq9ebWppVb58eej1ejRr1gwLFy7EkCFDMGnSJGzZsgVubm7Yt28fxo8fj7CwMHz11VfQaDSmEzDGGE6fPo2aNWtm2XIhOQ/d5vlhlStXDjdv3szu2SDZyNnZGbNnz0ZiYiIaNGiQoyq4FAoFli9fjufPn3NPS1QqlViwYAHKli2LTp06vfcTp1xcXBAUFIR+/fqhY8eO2Lp1K9eKJjY21rTcvLy88Msvv+D777/H4MGDceLECTx//hz16tXDy5cvrd5mRv67kpKS0Lx5c/j7++Pnn39G+fLl4ejoCKVSibFjx2L69Ono1asXtm3bJhnOzs4Ozs7OFp962qBBA/Ts2dPUygR4+xCctNusMqtIkSIYP3485s+fj27dumHRokVo3bo1bG1t8e2332LDhg3Yt28fZsyYATs7OyxevBgDBw7E0aNHERISgtq1a2Pu3LkIDAxE7ty5sXnzZly8eBH379/HmzdvsHfvXgwfPhybNm1C9erVuekLgoBly5ZhyZIl0Gg0+Ouvv3LUPiunMxgM+Pbbb/HDDz9Yvb7IyL9ZB9PEx8dj6NChWLp0KXr16mV62mdQUBAcHR3RunVrfP3119i1a5dkOEEQ0KBBA+zfvx+JiYnw9vZG2bJlrU4rb968CAkJgZ2dHfz9/fH06VP07t0bXl5eGDNmjOk2XeBty0R/f39cuHABzZo1w+LFi9GgQQNERkbijz/+QJ06deDk5PROn7FixYqm2yeXLFmC0aNHW3zgSUYYY1i2bBl8fX3h6OiI8+fPw8fH57M8txaMH++PZB5Vbn2mPuRFe+7cufH69WtcvnwZFStWlO0nMjIS7dq1Q758+eDp6YkbN27g5s2bCA4Oxv79+zM86Kxbtw79+vUDAERERGDJkiX47bffYGNjY+qnfPnyiIqKQlRUFO7du4cyZcrg9evXuHTpEq5fv44dO3agXbt2KF++PG7cuIHatWvj1KlTAN7+slCxYsUcd0siyXp0m+eHU7lyZcrcIhg2bBgKFSqEWrVq5ZinJ6YRBAFz586FWq3G6NGjuYqn3r17Y+TIkWjbtm2GT5CzplatWti7dy/u37+Pdu3aSbab2NhYxMfHS55sd+vWLVSrVg358+fHy5cv8dNPP+GHH35A//79c9TyJR/HtWvXUL9+fQQGBsreJlShQgWEh4fj+vXr6NatG6Kjo03dfH19sXv3bovj9vX1RePGjTFs2DAwxrKkYqFChQo4c+YMxo4dK/sDbYECBdC5c2f89NNPmDNnDrp164YFCxbA29sbr169glKpRN++fREYGIitW7di3LhxaNy4Mb7//nsolUp8//33aNOmDdq0aQM/Pz/TdhwQEGB6svjff/+NiIgI+Pr60jb1kYwZMwbNmzdH06ZN//W4xE92z6xdu3ahbdu2aNeuHVq2bGkKjj9+/Lgk2H706NEICgribl/19/fH8+fPUb9+fYSEhLzT+iMIAgYOHIi5c+eiV69eCA0NxeDBg+Hh4YE1a9bg6dOnWLhwIa5du4aNGzdi9uzZOH36NEaPHo0//vgD5cuXx7JlyzBkyJBMfdYBAwZg9erVyJ8/P/z9/fHTTz9lanjg7ZPp27Vrh507d5oaD7i7u9O5NckWdGX/GftQF+1KpRJGoxGJiYlwdnaWdHvx4gW+//57jBgxAsnJyXB3d4enpyeOHz+OhQsXYvbs2ejWrRs6depkagKvUqmg0+lM49BoNLh27RqqVq2K69evm1pjmTfptbGxwapVq3Du3DlUqFABR48exbVr11CmTBncvn0b8+fPR5UqVbBs2TKMGzcODRo0MDXrzWlPSSQkJ6pevXqGT9Qin79r166hZ8+eWLZsGWrVqoUDBw5k9yxl2vjx41GyZEkMGDCA+2W7du3a+OWXX9C/f3/u9vfMUKvVmDhxIubPn4+hQ4diyZIl0Ov1iI2NhUajMYXJazQaBAYGIi4uDpUrV0ZSUhL8/f2xaNEiyjchsry8vPDnn39izJgxFlvz29jYYPr06fjhhx/QqVMnU4VWy5YtJU91k9OrVy+ULFkSU6dOhUqlwunTpzNdISSuOHZ0dERoaCiOHz+OAwcOWD2PTXuAxbRp03Dq1CmcP38eISEhGDp0KCZOnIiDBw+icOHCYIwhMjIS4eHh2L17t+nvf//7HxYtWoQhQ4bA29vblMXapUsXzJo1i7apj2Tp0qVwc3ND7969s2R87xMqn3bb4dmzZxEeHo7q1asjNDQUS5cuxd69e03XPAaDAU+fPsXVq1dRqVIldOzYEWPGjEHnzp3h4+ODAQMGmPbJVapUwcaNGy0+PMRcuXLlsGfPHpw8eRLff/89hgwZguTkZDx48ACPHj3ClStXYDQaceHCBRw5cgStW7eGWq1GREQEypUrB3d390x95ubNm+PIkSPQarXo168fDh48iIcPH77z8AcOHEDnzp3h7u6OJ0+eYM+ePbJP9f2ssI/4RzKNKrfIe9Hr9ZL7zJOTkzF9+nQ0b94cFy5cwNdff43169dj3bp1mDJlCgIDA1G9enXs2rULx48fR7ly5dC1a1c8fvwYX3zxheQCeNeuXfD19cWjR48wZMgQbNq0Ca6urgDeHlB2795tCsvNkycPatSoAW9vbygUCsydOxcdOnTA06dPER8fj0KFCuH69esYNGgQwsPDceHCBTDGEBERgRo1anz05UbIf4mnpycF8hJ4eXnh9OnTGD9+PEJDQ9G/f/8cmWUzcOBA1K9fHz179uTW68KFC2Pnzp1YtWoV1qxZ86+mU6pUKezevRuurq5o3bo1rl+/bnpSMAAsX77cVHFw69YtJCYm4sqVK5QdSCxydHTE77//jqtXr2bYmr9atWoIDw/HyZMn0bdvX1OlU3x8vNVpjBgxAlqtFgcPHsTFixf/dYun27dvo27duqbzP0vEdyoUKVIEPXr0wJ49ezB16lRs2rQJDRs2xMKFC9GmTRtcv36dG16lUiF37twoUaIEqlWrhsaNG2Po0KE4d+4cbVMfyfbt2xEZGYkpU6Zk2TirVKnyzqHyRqMRq1evxrfffouJEydi1qxZMBgMaN26NUqWLAlPT0/MmzcPPj4+8PHxQbt27RAQEIADBw6gUqVKiIqKgr+/P9auXYuwsDDs378f165dw9SpU3Hq1Cm8evUKnTt3Rps2bTBnzhycPn1aNpIlja2tLRYsWID27dvDx8cHRqMRrVq1QlBQEHx9fTFnzhx4enrC0dERDRs2xODBgzFkyBCMHDky08tJoVCgY8eOCA4OhkKhwOLFizFixAiLD5lIo9FoMGrUKOzatQtfffUVLly4gKCgIHh5eWV6HgjJSqrsngGSM8XHx6NWrVowGAxYsWIFlixZAmdnZwwZMgTdu3eXtLJq2LAhfvzxR8THx8PFxQXr16/Hpk2bcPXqVXTq1Alff/01oqKiTMGRW7ZswaJFi9CnTx+sW7cOnp6eiIuLw/r16xEWFoYWLVpgw4YNcHd3lzwFZ9euXXj8+DEmTJgAQRCwe/duHDhwAO3atUPjxo1NTYmPHTuGL7/8UtK0mBDyYaRVJnt5eVHz9P+otIvPyMhIMMbw448/om7durhw4UKOuzW8W7ducHFxQefOnbFp0ybJjzxOTk7YvHkzpk+fjuHDh2PRokVQqd7vNEsQBHz77bdo3bo16tati+joaJQpUwZv3rzBL7/8AkEQ4O7ubmqx7OHhgcjISIwdO5a2MyIrf/78UKlU77R+2NnZYf78+Th58iTatm0LLy8vBAUFYeTIkVaH9/f3h06nw6xZszB+/HicP38e9erVy3B6jDHunOy3336z2IonPj4e169fR2RkJK5fv47bt2+bsoPy589vekL2kCFD0LVrV1Ml1dixYzOcF0C6z6Jt6sM6efIkNm3ahODg4Cw9L69cuTJWrFiRYX/Xr1/H6NGjTblWCoUCR44cwfz581GtWjUsWrQII0eOROPGjWWfvAm8fXro5s2bsXz5cgDS9WfcuHGm9Uej0SAiIgIHDhzA7NmzYWNjg7p166JRo0aoVKkSdzxs3LgxIiIisGzZMtjZ2UGhUGD37t3w8fGR9FeyZEmkpKS8949GPXr0gJ+fH7p164bSpUujZs2a2LJli+kJjOZu3LiBoUOHYvDgwYiIiMC5c+fQp08ftGjR4r2mT0hWElhGVbOEyKhUqRJKliyJ06dPI2/evJgzZw5atmxp8cC0a9cu3LhxA+PGjTOV3blzB3379sXdu3cxZswYDB8+HPfv38eUKVPw6tUrLFq0CLa2tli2bBnu3buHPn36wNfXV3Kx0L17d8TExGDu3LmYOHEidu7cCbVaLZm2VqtFly5dcOLECdjZ2aFIkSKYPXv2O51wEULeX1JSEipXroyuXbvi5MmTn2WwKMm8evXq4cSJE6hTp06Gtxx9qo4ePYoFCxZg69atsi1Ltm3bhq1bt2L9+vXIlSvXv5qWt7c3zp8/j3LlysHBwQEXL16Eu7s77t+/j+DgYLRq1epfjZ/8d/j4+CAsLCxTw7x8+RKNGjVC06ZNcfjwYfj7+yNPnjxwdXWFi4sLXF1dTa9VKhWaN2+ODh06YN++ffD09ISbm5spu8jSE+NiYmLQvn17hIWFwdHRETqdDq1atcLmzZsllVgPHjyA0WiEi4sLypUrh/Lly6NcuXLw8PBAp06dTMOLJSUlITIy0hSiTz4dFy9exIABA7B7927ky5cvy8ffunVrUxC7OY1Gg3nz5uHatWtYtGgRHBwcTA8sqFevHrp06YKBAweiTp06OHz4MJRKJQIDA1G5cmXZ8fXo0QMTJkzIVCu/pKQk/P333zhy5AguXboEZ2dn1K9fH40aNULRokUxePBgvHnzBgaDAXXq1MGuXbvg6uqK58+fm4LkgbfXQv3798eiRYsQGhr6XpWEU6ZMQZMmTVC/fn3T9rdlyxZ4eHiY+mGMYd26ddi9ezdWrFiB5cuX48mTJ3B1dcXy5cs/+0YD8fHxcHV1Rb09L6FydPng09MnxeNP77yIi4uDi8uHn97ngiq3SKYlJSWhWrVqaNGiBc6ePYuDBw9meMJgNBrRrFkzhIWFSU5utFotOnTogOPHjyM0NBTr16/HzZs30blzZ5w4cQJubm4YMmSI6XYMc3PmzMGRI0eg0WiwY8cOyU7Y3J49ezBo0CD4+fkhMjKSLrQJ+cAiIiKwd+9eTJ8+HdOmTYO3t7fsE6rIf0tiYiLKly8PX19fHDlyBBERETlyX3zmzBlMnjyZuwBIc+7cOYwdOxYrV65EmTJl3ns6X331FYxGI3777TfUqFEDuXPnhr+/P44ePYpTp07lyGVHsoePjw92796dqYtQ8X580qRJKF68OAoWLIi4uDjEx8dL/sfFxWHv3r0oU6YMnJycoFKpoNFo8OzZM7x69QoODg4oX748KlSogNy5c8PFxQW2trZYsWIF6tSpY2pZf/XqVSQlJaFWrVooV66cqSKrSJEiUCqV3Dz269cPvXv3Rt26dbNycZEPKCkpCTVr1kSzZs1w+PBhDBo0CF9++SXKlCnzr38QSNO5c2esXr2a+wEi7Wny33//PfLly4e1a9ciMTERvXv3RsuWLU0/oosrRlNSUtC3b1906NAB3bt356b18OFDjBw5Ejt27Hjv+Y2Li8Off/6JsLAw7NixAyqVCnXr1sWPP/6I4sWL4/bt2xg8eDBiY2OhVCoxZcoUlCxZErNnz8avv/6KefPmoXDhwujatWump/3s2TMMHz4cwcHBAIDz588jKCgIv/76K4C3FdCDBw9GlSpVMGrUKEycOBGpqal4+PAhQkJCJA/8+lxR5VbOQJVbJNPe94J106ZNiI+Px6BBgyTlkZGRGDNmDK5cuQI/Pz+Eh4eja9euGDp0aIahhNu3b8f333+PNWvWwM/PL8P5Dg8PR0BAAF1oE/IRJCUlwdfXF3Xq1KGWW8QkIiICe/bswYwZMzBkyBBER0fj999/z+7Zei9Xr17FsGHD8Ntvv6FgwYJc96dPn6JPnz4YNWoUmjVr9l7TKFasGL755hs8ePAAp06dwvfff49ly5bRcYxkWu/evbFo0SLkzp37nYfJzH78wYMH+PHHH2VvB9PpdKanZh85cgTOzs6oWbMmGGNITU3F/PnzMXHiRNStWxe//fYbAgMD4enpmeH87dmzB0ePHsWiRYve+TOR7Gdeaers7Ay9Xo8bN27gzZs3EAQBBQoUQNmyZVG2bFmUKVPGYuWmJfPnzzc9pRd4W3k0YcIEpKamokyZMjh06BBq1qyJ7777DkWKFMlwfAaDAZMnT0ZycjIWLlzIVehMmjQJdevWRcuWLTO3METOnj2LQYMGQaFQYPLkyUhNTcWRI0fw4MEDFChQAPXq1cOZM2cQFhaGwoULQ6PRYMWKFahevTp0Oh1atmyJkJCQ96og7NOnDyZNmoSSJUsCePv0ykaNGsHe3h4zZszAjz/+iGrVqmHs2LGwt7fHyZMnsX37dri5ub33581J0iq36od9vMqt4z5UuZVZVLlFMu19L1j1ej2aNWuGAwcOSA4IcXFx6NixI2rUqIGZM2di6tSp8PHxeacT9h49euDcuXNYs2ZNhr/Y0YU2IR8f3RJCzKXti7/++mts2LABT548wcCBA/HTTz/lyNsa7ty5g++++w5r1qwxXRSIpaSk4Pvvv0e1atUwdOjQTH/G3Llzo1u3bli+fDkYYyhfvjzat29PxzGSaZMnT0aHDh3w5ZdfZmq4d92Ph4SEIDExEX369MlwnI8ePUJISAj279+PZ8+eoUmTJrhy5Qo2bNiAESNGYPv27RmOIyYmBh06dMCePXss3vJIPk0ZnZMzxvD06VPcuHHD9Pfw4UMYjUY4OjqiTJkypkqvtJaC5nbv3o0jR45g9uzZ2L9/P+bNm4e8efPCxsYGPXr0QJs2bd6rxdH27duxbt06rFu3Dl988YWpPCEhAX5+fti/f/97jXfjxo1YtGgRChUqhPXr1yNPnjyS7k+ePMHRo0dx5MgR/PPPP4iOjkbbtm1x9OhR/PTTTyhSpAju3r2L//3vf++UN2bun3/+wbp167Bs2TIAb6/PvvzyS9SvXx8//fQTHB0dMXr0aHh4eODIkSNYuXIlSpQokenp5FRUuZUzUOUWeS/ve8G6cuVKODk5oUePHqYyxhhatWoFnU6XqYqn1atX49mzZwgNDcW0adPQtm3bDzbfhBBCsk7avrh48eIoW7as6SR9+/btObKC68mTJ+jVqxeWLl2KihUrct0ZY5g3bx4ePnyIoKAgLhvSGjs7O2g0GgiCgF27dqFRo0Z0HCPvZdWqVShUqBBat279QcY/ZswY9OrVCxUqVMjUcFevXoWPjw9KlCgBnU6Hhg0bYsqUKRm20unVqxcGDRqEmjVr/pvZJtnkfc/JExMTcevWLVOl182bN5GYmAiFQoGiRYuibNmyKFKkCObPn48aNWpg165dMBgM8Pf3x8CBA2V/hMis69evY/DgwZg1axZq165tKv/ll1+QkpKCwYMHv/O4DAYDRo4ciT/++AO9e/fGmDFjMnzYSlrrrVmzZmHo0KHYunUrqlevDgcHB5w7dw6FChWCu7s7lEol8uTJg7x588r+5c6dW5Jl3KZNG/z666+m2xC/+uorxMTEoFevXti0aRNKlCiBU6dOYfDgwf+57GKq3MoZqHKLfFSpqalo3bo1/vjjD8mO28fHB7///vs7H+SOHz+O1atXY9OmTahZsyb69++P77777kPPPiGEkCym1+tRpEgRPH36FCVLlkRERESWZa58TK9evUK3bt0wc+ZMixfbu3btwpo1a7BhwwbuV3lzWq0Ww4cPx6pVqwC8bSH2X/qVnGS9PXv2ICoqCgMGDPgg4/fx8UFoaGimbh1L06ZNG+zatQsNGjRA/fr1cebMGZQpU8b0VG3zi/0dO3bg3LlzmDNnTlbNPsnhDAYDHj16hBs3buDAgQNQqVRYuHAhhg8fjtevX8PPzw81atRAoUKFsuRHlPj4eHz33XeoV68eBg0aBEEQYDAY0KJFCwQHB7/TcezNmzfw9/fHixcvsG7dOnz99dfvNG3zlm+lSpVCVFQUBEGAIAi4c+cOjh49ily5cuH169d4+fKl6e/Fixem19HR0TAYDKbxxsbG4vnz5xAEAb1790bx4sVNt8AfO3YM9evXR8WKFd+pdebnJq1yq8HuVx+tcutYGw+q3Mqk93tGNSHvyc7ODs2bN8fu3bu5jCwHB4d3uhXx/v37mDVrFkJDQ6FQKODu7o7Hjx9/oDkmhBDyIalUKty4cQMVK1ZEixYtULlyZezduxdeXl7ZPWuZ4uHhgZCQEHTt2hWjR49Gw4YNuX58fX1RrFgxdOzYEYGBgbKtvADg9OnT6NOnDxISEjBkyBCcO3fugzxNjPy3FCxYEGfOnPkg4zYYDGCMvVfFFgDkypULERERKFeuHGbMmAEAuHbtGoKDgxEQEICKFSuiU6dOqF69Oh4+fIi5c+fiwIEDWfkRSA6nVCpRrFgxFCtWDPXq1YOvry+mTZuGq1evYs6cOab/jx49gp2dHSpXrowaNWqgevXqmcqhS+Pi4oLff/8d8+fPR9++ffHTTz/B3t4ekyZNwsyZM7F48WKrw0dGRsLPzw+FChXCX3/9BXd393eetqOjI3bt2oXIyEiMHTsWjo6OmDt3LmJiYjB+/HhMmDABjRs3RsmSJdGqVSv4+vpaPN6kiYuLw6BBg/Dw4UNs2rQJb968wS+//IIWLVpg0aJFGD9+PJ49e/afrNgiOYf1No+EfADff/89Vq1aBXGjwVy5cuHNmzcZDpuYmIj+/ftj7dq1ptZdXl5euHXr1gebX0IIIR/W9evX0atXLyxbtgw+Pj6oXLkyQkJCsnu2Ms3V1RUhISFYtmwZdu/eLdtPpUqVsG3bNowfP57rJz4+HoMHD0bXrl1x69YttG/fHsuWLUOzZs0QGRn5MT4C+YwVLFgQT548+SDjvnHjBsqWLfvew+fPnx/r1q1Dz549TWVeXl4ICAjAgQMH0LNnT4SGhqJx48Zo0aIFmjdvjo4dOyIpKSkrZp98ZtIqf7y9vbF7927UrFkTffv2xapVq7B3715s3rwZTZs2xa1btzBixAi0atUKXbp0weLFi3HixIl3Xq8EQcD48ePRpUsXtGnTBvfv30eDBg0QFRVl9drk999/R+PGjdGtWzccOnQoUxVb4s9YvXp10/XQhAkTULRoUUyaNAkrVqxA0aJFMXPmTDg5OWHYsGFo06YNfvrpJzx9+pQb16lTp9C2bVsMHjwYo0aNwm+//YagoCA0bNgQ+/fvx4QJE7Br1y4sX7480/P5uRHYx/sjmUe3JZJsMWXKFDRo0ACNGzcG8HaH3LVrV6u/KhiNRnTt2hVDhgyRhMdv3LgRK1aswKlTpz74fBNCCMl64lss9u/fj3PnzoExhtatWyMkJAR2dnbZPYuZotVq0adPH7Rq1QrdunWz2M+QIUNQvHhxjBs3DmFhYZgyZQru3buH1NRUjB07FmfOnKGHoJAswxhDmzZtEBYWluXj3rBhAxwcHNCxY8f3Gn7BggVYs2YNLly4IBsOnubMmTPYu3cvPfmaZLnY2FicO3cOZ8+exYULF5CUlIT8+fOjevXqqFGjBipUqGA1KP7Bgwfo378/Ro8ejeLFi2PixIkIDg6W9MMYw+DBgxEaGopt27bhm2++yfLP8euvv+Lw4cMYO3Yspk+fjpCQEAiCgJSUFBw4cAA7d+7Eq1ev0LhxY/j5+WHLli24ffs25s+fj+DgYOzcuROvX7/G+fPncfXqVSxYsAD37t1DWFhYhk+x/5yl3ZbYcNfHuy3xqC/dlphZVLlFssWrV6/Qr18/7Nq1CwCwfPlylCxZEi1atLA4zLRp01CoUCH069dPUn7z5k20aNEC27Ztg5eXF538E0JIDiQOF057KuDjx4/h7OyMmTNnol+/fjlq/24wGDBw4EBUqVIFAwcOlO2HMYaZM2di5cqVMBqNSElJAWMMYWFhaNCgAT0EhWQ5Hx+fD1K5NXjwYIwePRrFihXL9LBv3rzBN998g5YtW+LixYtWK3LpydfkY3r69CnOnj2LiIgIXL16FXq9HiVLljTdzliyZElJHlxKSgqGDBmCEiVK4PXr12jdujUaNWoE4O26W79+fRiNxvdurfWutm/fjt9//x1lypRB1apV4e/vL+mu1WqxdetWTJkyBc7OzihQoACSkpIwbNgwtG/fHpMnT4a3tzeWLVuGR48eITg4GAULFvxg85sTUOVWzkC3JZJs4eHhgWLFiiEiIgIAUKBAAURFRVnsPyQkBLGxsVzFFgDky5cPRqMRe/fuha+vLzVRJ4SQHEh8i4WTkxMePXqE7t27w8XFBXfu3EHlypXx4MGD7J7Nd6ZUKrF69WrcuXMH8+bN47rr9XoMHDgQgYGBEAQBtra26NOnD6pUqWJqiWJ+2wkh/xZjDB/id+379++jaNGimRrGYDDg119/RbNmzeDj44MFCxagTp06Vm/BFd9uRhVb5EPLnz8/fH19MXv2bOzatQt79uzBkCFDAAArVqyAj48P2rRpg4kTJyI0NBQxMTFYu3YtcuXKhXv37mHatGk4deoUTp8+jRIlSqBWrVo4f/78B63YAoB27dqhX79++OeffxAYGIiEhARJ9127duG3336Dr68vChYsiHr16qFy5cpYt24dAgIC0KhRIwQEBODIkSOYP3/+f75iS4xuS/y0UeUWyTajRo3CokWLAFiv3Lp48SI2bdpk6tfczZs30blzZ0yfPj3DkyJCCCE5x9ChQ9GzZ08sW7YMzZs3R8mSJTFmzBikpKRk96y9E0EQsHDhQuh0OowfPx6MMWi1WsyZMwf58uXDhQsXoNPp8OLFC/j7+yMwMBANGzak4xj5YNzc3BAfH5+l49RoNFCr1e/8BDqj0YiQkBA0b94cSUlJOHjwIM6ePYtp06bh5MmTKF++vNXhqdKXZBdBEFCqVCl069YNS5cuRXh4OLZv344OHTrg5cuXmDZtGlq3bo3Dhw8jV65cePz4MUJCQtCxY0csWbIEy5cvz5InNb6L5s2bY9y4cUhJScHIkSMRERGBFy9eoHv37li8eDFsbW3Rpk0b7N+/H+PHj8fIkSMxYsQIJCYmYvTo0bhx4wb69OmDgIAAajhAcgy6LZFkq379+uGHH36Am5sbAgICsHr1akn3Fy9eoGvXrggJCbH4Kwc1USeEkM+TeRbXpUuXoNFo4ODggIEDB6Jdu3aoVKlSjtjnL1iwAKGhoXj06BF0Oh00Gg3i4+NRoUIF/P777xg6dCgdx8gHN378ePTo0SNLn0Z69uxZ7NmzBwEBAVb7Y4xh3759WLp0KZo1a4ZBgwbBwcEBAOgWXPJZSUpKwubNm3Hnzh38+OOPGDlyJM6fPw83Nzeu37RLcUEQwBiDWq2Gvb097OzsTH/i95ZeW+p2/vx5fPvtt+jYsSOCg4Ph4OCAZs2awWg04uHDhzAYDFCpVChatChKliyJUqVKISkpCZcuXaJsO5G02xIb7fx4tyUeaUu3JWYWVW6RbHXz5k3MmzcPa9euhb+/vymDC3j7S2Dbtm2xcOHCDH/Fo5MiQgj5PIn37w4ODpgzZw6mTJmC/Pnzw9/fH0eOHEF4eDiKFCmS3bMqKyYmBsuXL0dwcDDu3buH3Llzw8/PD3v27MG2bdtQo0YNAHQcIx/H8uXLUapUKTRv3jzLxrlixQoULlwY3t7eFvs5duwYfvzxR9SsWRMjR46kizXy2XufH98ZY9DpdEhNTUVqaipSUlJkX2emW1RUFL788kssWbIEP/zwA5RKJZo0aYKSJUuiSJEiUKlUWTLvnzuq3MoZ+LWZkI+oTJky0Gg0ePz4MYxGo6mcMYahQ4di0KBBGVZsAelN1AkhhHxezPfvkyZNQv369bFjxw4sXrzYFN5bpUoVzJo1C02bNpUE/GaXqKgozJ8/H4cOHcKjR4+QkpICo9GItm3bIigoCO7u7pLbU+g4Rj6GggUL4smTJ1k6zoiICLRr106229mzZzF79myUKVMGGzduRO7cubN02oR8qtLy4SIjIzF27Nh3qhwSBAFqtRpqtTrLKjTSKqqmTZuGy5cvv1NF1fvMOyGfguw/+yP/eWPGjMHChQslZcuWLUOJEiWs/gpICCHkv6lKlSq4fPkypk6dirNnzyJ37tw4d+4cWrZsCScnJ9SoUQOhoaEwGAwffd4uXryI2rVro2zZsvjpp59w/fp1pKamombNmrhw4QIiIyPfOVuIkKz2ISq3Xr16BU9PT0nZlStX0LFjR/z2229YuXIl5s+fTxVb5D/nU8iHe9+HMHwK8/4pEowf749kHrXcItmuSpUqiIqKgtFohEajwZ9//onz589jw4YN2T1rhBBCPkHiX5XHjRsHR0dHxMXFoWvXrrh06RJq1qyJIUOGoGPHjihevDg6duyItm3bomTJkrh+/Tq8vLyy5IQ9KSkJ58+fx+vXr7FhwwYcPHgQGo0GwNsHpfTp0wd//fUXjh07ZvoVnn4NJ9kpqyu3EhIS4OTkZHp/584dzJgxAzY2Nvjxxx8z/QRFQkjWo5bB5L+CKrfIJ2HkyJEYNmwY1q1bhx07diAsLOyjPU2EEEJIzmN+su7q6opp06Zh7969mD59OmxsbLB27VrcunULM2fOxKxZs1CgQAG0bdsWe/fuRfPmzVGrVi0UK1YMefPmRUxMDCpWrMhVOCUlJeHixYtwdnbGy5cvcfv2bZw6dQpnzpxBamoqfH19sXPnTkRFRcHR0RHNmjVD9erVIQgCZsyYgWnTpuHmzZumeaWLDJKd8ubNi6ioKERERGRJJe9ff/2FvHnz4ubNm1i8eDGSkpIwefJklC1bNovmmBBCPh0Ce/v3MaZDMo8qt8gnoWrVqoiPj8etW7eg1+sl+VuEEELIu/Dy8sLEiRNN2SLPnj2Dg4MDzp49i8GDB6N27doIDAyE0WjETz/9hBUrVgCAqdIrNDQUz58/N/24whhDvnz54OfnZ6rAEhsyZAiWLVsGe3t7+Pv7o1atWgCkGScnT57E2LFjP+6CIMSClJQU3L17F9u3b8fAgQPRs2dPODk5QaVSQaVSwcbGRvLf2mudTodx48ahadOm8PPzwy+//IKvv/46uz8iIYSQ/yiq3CKfhMjISHTp0gWzZ8/GtGnTEBkZSb9sE0IIyRRLIbg1atTAsWPHTBVON27cwKNHj/DkyROsXr0auXLlwpIlSwAAGzduhK2tLRhjpqf2BgUFmS7oe/fujWLFioExZhrfhQsXMG3atAzng5Dsdu3aNXTs2BEzZ87ExIkTwRiDh4cHdDod9Ho9tFotkpOTodfrTWXm/9NeP378GM2bN8eCBQtMFWSEEEJIdhEYY9TojWQ7euQsIYSQDy0pKQmRkZEoX7686Rhj7fiT0bFJbnyEfMqy8nyLzt0IIf8V8fHxcHV1RZP/RcPGIWueZGmNLjkeh9rnQVxcXJY9OfO/gCq3yCeDLhIIIYRkB2vHHzo2kc9NVq7TtH0QQv4LqHIrZ1Bk9wwQkoYeOUsIISQ7WDv+0LGJfG6ycp2m7YMQ8l+SFij/Mf4y6+eff0bp0qVhZ2eH8uXLY8uWLVb7Z4xh7dq1qFSpEhwdHVGqVClMnjwZKSkp77l0sh9VbhFCCCGEEEIIIYTkQJs3b8aAAQPg5eWFefPmoUiRIujevTsOHDhgcZjp06fju+++Q9myZTFz5kzUqlULc+bMQd++fT/inGctui2REEIIIYQQQgghREbabYlNQz7ebYl/dHj32xLLly+P3Llz48SJEwAAo9GIqlWrwtnZ2VQmZjAY4ObmhsaNGyM0NNRU/t1332Ht2rV4/fo13N3ds+zzfCzUcosQQgghhBBCCCHEik/xtsSoqChcv34dnTp1MpUpFAr4+/vj77//Rnx8PDdMamoqEhMTUbx4cUl5tWrVAADR0dHvt4CyGVVuEUIIIYQQQgghhOQwN2/eBACULl1aUl66dGkYjUbcunWLG8bR0RFffvklNm7ciEuXLpnKT506hdKlS6NkyZIfdqY/EFV2zwAhhBBCCCGEEELIJ439/9/HmA7AtbqytbWFra2tpOzVq1cAwN2+mHZb4cuXL2UnsXnzZrRs2RJfffUVOnXqBC8vL+zfvx979uyBQpEz20DlzLkmhBBCCCGEEEII+UwVKlQIrq6upr+5c+dy/Wg0GgCAUqmUlNvY2Ei6m7O3t0fu3Lnh7e2Ns2fPYuLEiShSpAhcXV2z+FN8PNRyixBCCCGEEEIIIeQT8vjxY0mLLPNWW+Iyg8EgKdfpdAAAOzs7bhiDwQBvb29UrFgR27ZtA2MMu3btwvfff4/69evj+vXrcHNzy8JP8nFQyy1CCCGEEEIIIYQQKz52oLyLi4vkT65yy8PDAwB/C2NMTAwAIE+ePNwwJ06cwPXr1/Htt9++/VyCAD8/P/zyyy94/vw5/ve//2XlYvtoqHKLEEIIIYQQQgghJIcpU6YMAODy5cuS8jt37kChUKBUqVLcMM+fPwfwtlJLrEiRIgDoaYmEEEIIIYQQQgghnyXBKHy0v3dVoEABlCtXDrt37zaVGY1G7Ny5EzVq1ICbmxuio6Nx48YNU6VVhQoVAAAbN26UjGvv3r0AgKpVq/7bRZUtKHOLEEIIIYQQQgghJAeaNGkSunfvjrZt26J+/fo4ePAgLly4gLCwMADA8uXLERAQgGnTpmH69OmoUKECOnTogE2bNiEmJgaNGjXC9evXsWHDBrRo0QLNmjXL5k/0fqhyixBCCCGEEEIIISQH6tatGxITE7Fw4ULs3bsXxYsXx8aNG+Ht7W1xmC1btqBatWpYuXIl/vjjD+TLlw9jx47FtGnTPuKcZy2BMcayeyYIIYQQQgghhBBCPjXx8fFwdXVFy82vYePgkvEA/5IuOR77uuVGXFyc5GmJxDrK3CKEEEIIIYQQQgghORbdlkgIIYQQQgghhBBihcDe/n2M6ZDMo5ZbhBBCCCGEEEIIISTHosotQgghhBBCCCGEEJJj0W2JhBBCCCGEEEIIIVbQbYmfNmq5RQghhBBCCCGEEEJyLGq5RQghhBBCCCGEEGIN+/+/jzEdkmnUcosQQgghhBBCCCGE5FhUuUUIIYQQQgghhBBCciy6LZEQQgghhBBCCCHECgqU/7RRyy1CCCGEEEIIIYQQkmNRyy1CCCGEEEIIIYQQKwSjAMEofJTpkMyjlluEEEIIIYQQQgghJMeiyi1CCCGEEEIIIYQQkmPRbYmEEEIIIYQQQgghVlCg/KeNWm4RQgghhBBCCCGEkByLWm4RQgghhBBCCCGEWEEttz5t1HKLEEIIIYQQQgghhORYVLlFCCGEEEIIIYQQQnIsui2REEIIIYQQQgghxAq6LfHTRi23CCGEEEIIIYQQQkiORS23CCGEEEIIIYQQQqygllufNmq5RQghhBBCCCGEEEJyLKrcIoQQQgghhBBCCCE5Ft2WSAghhBBCCCGEEGKFwADB+HGmQzKPWm4RQgghhBBCCCGEkByLWm4RQgghhBBCCCGEWMOEt38fYzok06jlFiGEEEIIIYQQQgjJsahy619q0KABevfund2zQUiOQdsMIZlH2w0hmUPbDCGZR9sNISQno9sS34PBYMDNmzcRFhaGP//8E0WLFs3uWSLkk0bbDCGZR9sNIZlD2wwhmUfbDSHvTmAfJ+ydAuXfD1VuvYfHjx/Dy8sru2eDkByDthlCMo+2G0Iyh7YZQjKPthtCyOeCKrfeg6enJ8LCwgAAHTp0yOa5IeTTR9sMIZlH2w0hmUPbDCGZR9sNIe+OWm592qhy6z3Y29vD29sbAKBUKrN5bgj59NE2Q0jm0XZDSObQNkNI5tF2Qwj5XFDl1keg0Wig0WhM741GI2JiYpA7d24IAj3mk3wcjDEkJCQgf/78UCg+7WdJ0DZDPgU5aZsBaLshn4actN3QNkM+BTlpmwFouyGfhpy23ZCPgyq3PoK5c+ciICAgu2eDEABvsxUKFiyY3bNhFW0z5FOSE7YZgLYb8mnJCdsNbTPkU5ITthmAthvyafnY2w3dlvhpo8qtj2DChAn44YcfTO/j4uJQuHBhdJv0CGo7F1N50pQa3LAOSnfJe0Hgv7JX+htcWZwQx5WVtanPlcVrn3Bl7g7lJO/vJx/j+vmqCH9Qi4k+zpU52BXiylQ2zpL3b2LPcf18UaQnV3bv9iKuzMm+CFf2NOkUV1Y233eS98kpD7h+BIGv9Xdy5gM2Xzzfx5W5OJeRvH8Ys5fr58taW7myJxenv9N85K85lytjL2+bDcc3JU+JuWR6rTFqsOTlPDg7O3P9fWosbTP9HNpALdiYyp8nRXDDGqCXvGcwcv0I4JexLRxl5kSmPwW//F4Ypd9FpTz9uH4uRa/hyvIpSnNlz423MuxPrXTh+nmtu8mVMfBHRg+b8lzZK10kV2YL88/JL8dYvOTK3JCPK5Mbll+2ct8Tv79jZt8vADjb8PuZeN0jrsx8fl3gzvXjoMhjeq1lBmxj/+SIbQawvN34oxRsoMQrPDR1cwK/DqWxRy7TawHpv8KnIFbSnwq2ptdJSD/mOMLV9FqHFMkwWmhl+xOzNowaatn5TMGbdxrGUjkg3S+IP5sKdqbXeqRKhnmDF6bXHkg/HomXtTPcJMOI90mJiIcc8+9H/FnF82ADe9Nr8+Umnu940Xw6iJa7+HsDAK1o3GrR8IlCgum1J5NeRIiXgRNcoIMR+/AqR2w3lraZjvCCjdkxVcuSZMfhopK/qFKpnGTLX6Vetjg/rir+nAYA7NQesuUGg/w82di4yZYzJn+1ZDAkWuhfbt8NMGaQLVcobGXLAUClkjvGAkqlvWy50aiVLZc7RwIAG5X8/sRo1Fgolx+/Vie/TQKAWu0mX67KJVuuUNrJlmu0L6TvmRar4jbniG0GsLzddJkiva4Ry7VgVIbjvRm7w2p3G7N9tjkj5NdLMXsLx5004v2mJVrIby+maQi5rU9DYf1zAPLXT2KODvL7ijQa7asMp/Egbr/V7iXd22U4jowoFNaXp+IdloXc9Q3w9rpm6auFOWa7IR8HVW59BLa2trC15Q/4ajsXyUFAJ7Pxqs0qs+Qqt2xkLsBVMs2CxZUC6WX8NG3N+rMBPy47BX8yYj4cANjKnOiozHZ0cvNlp3SQmVf+s8tNU2552JpN0yDwO1O5Eya5zyk7H2afU24e7GROdOU+u+x8qPgdNzNbRnLrhlHmoJITmoxb3GYEG8l3LrecFWZlcqfycpVbNuC3BbnvQu77N99G5NZ7ue3oXcYl15/8cPy8ylVuveuw5vsGxvj5kp9XfjnKDWu+bOX6UciMyyhzcSb/mfhhzedX/nObjYvljG0GsLzd2EAJtaCESvT5bZjlJvzi71BcuaU3G0YlWn7iZStdrubbo6X+xN5tGPF8ms+bpWGsTV9auSX6bOLlYb4MROuGWrTOWVvW4jVY7lgtN4zawjxItjezYcTzLR6fjYXvDQCMgni+01+rBMufx1K3nLDdWNxmBKXMPlD+Aktu//N2HPzxHbC23lsel9y5DgDoLZTLnVsA8scEa+OR+3Hobbn8Z1BaGA8AqCx0U8qcjwGA0cLqY7Fyy0LFmtwxw/r4LX8GtYV5VVuYtsXKPgvjyQnbDPDu1zWSYSx8ZjFr28a7dDdaWL+l47CeKWZeqS2HWTl+AvLnQWIqC9u5mKVt3tTdSkUyAIvrmFhGyzPDabwDaxXeb7u/S+WW9eX1sbcbwfj272NMh2QeVW5lIya8/UtjYDquH73ZL05qpfWdXZqKtq24stcp17myWDznyhy1eTMcvyaFb/GVy/1rruzZ8z1cmZNDUcl7uV8Gn95fz5VZOikzV+6LAfx8vJS2tiqQz5frJymJbzGTmMC3aInR8v25oUKG8xV3awtXlsu1SobDAcClwy25MsHsoiSPQ0W+H9FJoEZm/cppLifvklxIOYCvfHQXCkjeRwl3uX6+MBblyuyV/C+vsYbHXJnGkMCVma+bL14f5fox/74A4JmB3yYduBZTgK3STfJerlVSkkwLkCLqmlyZ1sC36nRV8i0PzKf5UnuV60duXuW2ZzuzcQGAs530V8eE1IdcP6mG2HcaV7yWXx52Cv7X2WTcl7zPZeRPqrTG9F9ktRZaJ+Q0cXjxtqJCtAommLXudWfpLe50LL0FkLg1kI3Z9hYjpB8/nJn8r+Hm07Fl6RXuSaKWYGpRSyktpMc9R1HLJ/H8JLMY02sHQdoKT8ueyc63+LV4/q0RLxsbQboMPFHM9PqFaP3Kh+Km18+Fe5JhxMtKPLyNkP6DRTJ7LRlG/FnFy0f8XZl7LqTvv5xZ+rZq9XsT7crE34mzlZNs8XfqILj//3bzwvIAOYCeaaEwuwhWWbhYtFQBFJd6T7bcVWW5RYaNUr61l95CCy1LLLWs0ur4/T8A2Mj8gGa9f/lWWDY2llvFGAyZa0FlMMiv20oLF8taTbRsuaWLZ6XMj6gAYKuwfGmks7A89Hr+vACwvDwUZuvS55IWZJsCqC2dqluolBRTwfo1jvmxwZxOsN4dABQWKqnTuNvyLerNKbXW92+WKmAz42Xieavd8ymsLyvFO1SglXJvb7X7i5i/MhzHF3maWO3OGN/aXiwx8b7V7gCgsFDRp2Hy+w7y3/a57E8JIYQQQgghhBBCyH8Qtdx6D8nJydi7922mksFgwMOHD/G///0PHh4eqF+fz7Ui5L+OthlCMo+2G0Iyh7YZQjKPthtCMuEjBcq/4w1LxAxVbr2Hly9fokOHDqb3x44dw7Fjx1C/fn0cO3Ys+2aMkE8UbTOEZB5tN4RkDm0zhGQebTeEkM8FVW69h6JFi1p84kxmFLwQDzvRbcT/gM8XED8hCQA0Mhk0Spl71F+l8Pk45k9SAoBcQn6u7InuH8n7Ms7eXD93n/NP/pPLo/BwrsaVvYw7I3nvbFuY6ydRE8WVxRn5nC9FCn/vfILMkxDdnKRPgLSUkWFO7qmHJQbxT6W7u6Ks5H1u2zJcP5DJIrLPxWd1PXu0mSsrlb8XPzqz8cXFXeL6+aJE+lMiUw1JwLWd/Hx9BFm1zRRBBUlos0LJ78LMc5rsmUyovkz+lVymm6dtJa7speZKhuN7auCz2uTyqVJknrhjCz5z5ZX2muR9HnU5rh9bAx/iKpdFJUcue6+w4ivJe/P8GQBwUnhyZc+N/PbxhdnT4gAgPkWas6BjyRnNZqZojHwGWR5I8wTlctbusPScCz1Ytv5yllXbjSNcYQMF1FbymSzlX4mZP4hBnLUkzkJxVaRnuCUZY8WDSMYtzskSZ0qZT188bxoh/Wl+4ulDNLw58fDiY544SwuwnC8mHh5M9NqMLcTLI319djZ7Opd43OKcLltjxk/pAqQZZGLmx3g1k88pEX/uJLMnYLoJX5hei78TD0WJ9HKjNA/M0vqSHbJqm7FVOHHh7m8MfC4gALgo5Z9a5mAh+cNaOLKlrJ4ULf9kWgBwtJV/UqPBkCpbrjfK7wPUgnw2lK1a/qlvlnJ0LD2l8e08PbNQLj9Plqat18s/qc5Stpal8z2N9rVsuVJpeX22lP0jWMjpYkb55WSe3ZndmahZtd0kugFq+YdfwsbC8hZTZnBZmizIZ5ulcWMZZwbrIL9tpHlp5WmmaYrnbmu1+4PXYVa7F3Hnc3TNOWrfWO1+J56/PhEr5cpfu5lLSpHfp6V5l2uljPLFXrw+YbV7nIG/tjNXpcwi2fJUQzJwZ1uGw2c1gQkQZB6C9CGmQzKPMrcIIYQQQgghhBBCSI5FlVuEEEIIIYQQQgghJMei2xIJIYQQQgghhBBCrBA+UqD8Rwmt/wxR5VY2elzNBWq79Jwcm238jerm9zvbKd25fhKMfBaDUiYXwFVViCszytznb2N0kLxP1UZz/RTK1Zgri028zpW9SjjPlT0SpJk87qn8/BdyqM2VFffsz5U9eLSOK5O7f7vEF2Mk72Oe7+f6UVjJwRBzPXOWK6tQfJLkvdqTzxrTR1/jyuTytdxcvuTKHMp15sqenpJ+Jjc3fprJ0edMrzVG6zkDOYGWJYCx9OwnDfj8BXGODwAUtfma6ydWe58r0xr5HA+Fns+ZshX47Cw7s0ydFJlcHkeBzw+xA5+T5aTKx5U91J2TvFdq7/DjV/JZEx6O/Lr0JOkkV+YGfpovddLcMLl5TTDyGSpOMnlALvYluLIniX9K3jsrvuD6sZXJb3mkjeDK5OZfI5NnFq2Q7muSDfz6U0JZ1fRaCz3+Yvw+LKdJQhxszHLhxNlKACSZVeJMqBghPY+toCDN90k0yudkmWcyiYmzuSzlZImnbz6MOC/KRpDPrgIAZ5a+TeaxSc9AfKpLz1NJUEi/f3FGlTtLH7c44+q54rFkmDzG9O0uXhBlpIj2AbZmn0e8TMWfR5yZJVlOkGaNWRq3+T7GAaJ9oSB+mf4mxixvL5alb9Piz/2Upe8PjGZn3Foh/TxCMCqge8dMy0+ZgelhMAvc81TzGYxvyeeiWMqMMhq1Fqer1cfJlitkMk2t9a+0kD/lZMefBwKA3kLulaU8HYVCPnsqOfmxbPnbYeTnyVLGVUqqfEaXUukgWw4ry1V2fgT++A4AySlPLQ5jo+KP/8Db9V6OpXVAabaNKD+TbJ2yO+/ATsXnhgLAnVTLyzWNDSx8t//PkRmsdn+XjKgUJFntnkfgc4DNPXwdbrW7eZahueQUy9tJmtjUu1a7F1BXtdo9VSOf0ycmWNgG0jjbyu8vxG682GC1eyGnb6x2j0vMOHMrNf6GbPnncF1Dsh5VbhFCCCGEEEIIIYRYIRjf/n2M6ZDMo8wtQgghhBBCCCGEEJJjUeUWIYQQQgghhBBCCMmx6LbEbJTsyqCzt54WpxLkswjE1HDkhwM/nFrlypXdTTnKlQlmdZ7OGj7TwdGBvyfdwZbPvRFksiiK6KXjTwB/X/gXxfpwZbdvzOLK5LJ8XAS+7P6dQMn7/Pl8uH6ev9jLleWyKc6Vxdz/nSt7ECO9/z7P03JcP/kLd+fKXF0qcmUnXs3jyr659n710PaVe5leC7oE4HnAe43nU2EruEItyggwz9cC+Mw1tYHPf7BX5uLKnhn4zLh8jM9/iGf8+uqMPJL3HuryXD9vZHKy4sFnE8nNr6NZ3pXccAkGPr/IVufGlcmJUtzjykoI1vMcAEBj4HOt1OCzAxNS+PG7KqX5TQz8vvCl9ipXZg9++dgq+DwwueiNEmaZURohnutHvP58DtlBAKCGGjZQSHKczHPhxDlXDgpRToxoETyBNDfQGfwxBZDmjajNjkXieRBvv+KsJ2vMM69M02HSDCDx54nTPZKdH2ezr1ecayX+DB6K9GOKszEWYhpRTpYtszO9FudVxQovJMOI88DEuWE6lj4uR/PsOtH3xXX7f1qWLHkv/gzifDHzZSUm7s/RmD4dG5a+3Mzz2nTG9PmOFV5Az3J+Cq5KUENllsOpUvL7NkA+u9Qag1FjsZtgIftTkNk/ApaztWzVeWTL9Xr5vCGVij+PtMZo8TNY22fKdzNYyPuyNE8Gg/y0BQvZXcxCTpPKQn6WpTwxANDo5PMEbW34cwoAMDK9bLlOJz2v1mVyHfpUPWlYUpIlLGYXwZ+vmYvTP7TaXQPrGUt6yC9vMXehgNXur1nGeVjm10nmyrr6We0eFXciw2lkdP2XJzefTSz26PnODKcRz55b7V7QvlaG4yjgUDODPqwvq3JfDMhwGomJFjK3smu7Yf//9zGmQzKNWm4RQgghhBBCCCGEkByLWm4RQgghhBBCCCGEWCGwt38fYzok86jlFiGEEEIIIYQQQgjJsajlVjayTRagZumZVMkyeQTMrMwIPjvAvB8AeM0ecWXGVP5e9MLqGvz4zDIClAo7rp/rb0K4smoFxnFlqa8OcWVOaun97gqdkusn7sURruwuu8CVtawTzJW9PDWVK7tlPCV5XwC+XD/5v/DnypJk7vNWdl7ElRULlm5KTq6V+XG9+YcrExT8Jti8NJ/p9fzRZq7si+J9pQUFK3H9fG60LBFA+vqiMSZw/Zhn0MllacllLjiAz994aeRzssS5PGkShPuS9y6sINePHtp3mg+Nkc+BMs+nSjHw62WSIpkrS9XzOVx2Ap+HkdvI70MEpTQvL9bA51DkVVfgyl5oL3NlOplMlSRIM0fcwGf25VIW4crk5iPe+JQrc1MW4sqeG25K+xH4aRZza2V6rWFaIO5Xrp+cRgstGARJVpMO0u9EnGUlzpWSZFQx+Yytt9NIz8ERbyOOzM1if0+E26bXnqJtxtVGmukYrUv/3nIb5XNIxOMFpFlW4jwv8TKwMc+HE+VaibOnNCw9a8zdbD0VL7d8xvR1LkawnmWSPp+iXD/Gb6+meRAtU1uW/lnljv9yw+Qx5pUdxlHILRkmyZieKST+DJ4oZnqdbDaf4vwZJ+b2/1l1/P4oJ3GwKwBbQZq9JAjyvwfbCPLZTZayuNQW8pneR6rmhWy5RiufDWWJisnniekt5GFZztay/Ju50cgfA60NYykfTGeQL1ca5fPHFIJ8hhZjmcsAAwCVks/hBACFheyzhCT+HAIA7G2luXUKxp8H50T2sQy2tvLNTXRK/lrCnADry0HuPE3MWfmF1e4AkGywvm0UUH2Z4ThUCvntJc2bxEir3TPK7HoXD57z12FiTjbWs8UAwNOpjtXuqakZZ2EmafjzLzG5czYxN5lMVnPmWbppPpdcVJK1qHKLEEIIIYQQQgghxAq6LfHTRrclEkIIIYQQQgghhJAci1puEUIIIYQQQgghhFghGN/+fYzpkMyjyq1sVPR0POxEUQBXZfrRG6X5Pgx8G0V7BZ/foGJ8LolcXped2oMrM89weK25yfVTzL4eVxYXd5ErS9bxeRDmmVtFvujM9RMTc4orKyFU5crOHqjNlZX/oj9XVjr5a8n7py/CuH6K11vHlT37M5QrK7B/I1fGJUBYyOYw99erH7mybzCeK7uUys/vF6yP5H18KT4/yPX4sfRZspBTkZPYK9ygFtJ3WzGGKK4fW7P8E41ZFg8AGBm/LcQJfN6NJ4pyZXrGjy+fw1eS96+SLvHzBSeuTMP4zDDz+ZdjLzMueyNflgA+L8FJ4cmVqQV+WPOcBLn5j9He5srksiQM4LNnzLMz7JRuGc4DIJ8Z9obxmQ+CTEaDecaW3HBP4jeYXuvZ59sm3DxrSWvk12sAcBDcTa/Ns5bEmVXizCutkP59x0CaPWXL0nNXbJj8Kch9fYTkvTjnSpyl9Vi4ZXrtbJSuT6/wQDSf6cdDcdZYgiDNfRNniuUzuskOY56llduYR/YziJeB+byJl9sr413TazchPS/mBaQ5fu4sfRmoRTldyeyN6bXGLEfNlaV/d86K9HHHGdO3jZdm0/EQiqbPpyiHydpyszPLa/occlAUChsuq8lolM/QgkL+eG80yGdMGRmff2oalSC/TShksk8BwFadW7ZcoZDPmdJo5XPd9BbOD3QWcq+USvnsOyZzbDWNy8I07GzcZcst5cmpVfLHSIOFfZilrDRL7Gz5Y2QaS1lmgiCfFWUpW0lvSJS8N1jIZ8tplHojlEr57y1ZnyhbLuZmw+dsir3W8eccYkmGlxlOQwH5bSMrZZTr5aTMa7U7ACgV8ttYGsHCvsI0DzLXX+YKefSz2v32bf4ahZ+Pf3cT2Lvkj1UtGyhbnmpIRujtHv9q+uTzQ7clEkIIIYQQQgghhJAci1puEUIIIYQQQgghhFhBgfKfNmq5RQghhBBCCCGEEEJyLGq5lY1elneB2i49P4Zt47MKBEGQvGeMv5fdKHOvfiJ7xZW5K4txZY8Tj3NlToI0h8tBwWc6JGufc2WvDHe5MheBv688t3styfvo1ye4fpQKNVdW2msWV/b83nquTK7O9pZRmuGV1/gF18+DP/msrvz5/bmyxLjLXJmTayVpgcz3dPL1Yq6sWalNXJlCyWdrfCNM5MrMc71cjh7ienl2P335aD6TTAcxR/D5Sw5K6fpqq+dzuRyUfMZHCUUBrkxvTOHKtEY+NyImOVLyXi4/Smfk80aYTKaTncKVKzPP3pMjl0WVyuK5MjeHUlzZxeTtXFkJpTTj7qWBz7qwhT1X9q5clNLl7WLP75/iE/nvLo7xORKeitJcmcbIf3a5/ae5kkI102st9PiLnctwmE+dGmrYQCHJixJnXwGAI9xMr8W5VuKcLRuz7zsJsabXOiE976YwK2N6/Rz3LM6XeB7EmU7i7Cvz6TiKNpncTD7v6m1/bqbXelEemEqUv+VulhUlXj4uLH3/miSkr0viLC0AEMdgij9DHmP6sc88C0v8ecTEOWHijC3zeRPTKixne4lzNsXZXuLvKi+k2504wytRSJ9PN+Ypei1d7m+E9PMNG2YDvUw2aE6j0bwGM8u0sZRvZbSQ9WTp92ODwVL/gErtIFvOLOR0GY3yuV6WsqGUMucXgOW8Kls1n+lqbboKJZ/NmMZSLpWlaQOCbKnccRmwnFGk0b2RLbexkN1lLTfMRuUoW56Uyh+rAECt4o/LAJ/fJncenxM5PY6DnY38cTZFKb9uiyVp5ZdjmlQkW+2ul8n3NJcL/Pm/WKz+QYbjUEB+XU7joLB8bAIAd5cvM5xGVOwxq92fCHesdvdSN8lwGrduz7HaXXiHagJrGYIAUMjpG+vTsLBfELt/Z4lsuTaDaX8oAgQITH7/lNXTIZlHLbcIIYQQQgghhBBCSI5FlVuEEEIIIYQQQgghJMei2xIJIYQQQgghhBBCrBCMb/8+xnRI5lHlVjZyfmWArTr93v5Egc82MM/kcbTlM6wSNfw96rbgcw8SDXxmh3kWCAB42Egzt7QGPrsmxcBnGHjl6cmVpWr4aca8iZC8d3IozvXzIvYvrixPguXsFrHExBtcWWnF15L3rs587pBCJufr6dMdXJkg8JuN+bCO5hlcAOrk/oEr03/ViivTHV7IlUWPmMaVOW7ax5WZc3NLzw9KNaYCyTszHOZTFm98ChtRg1M1+PyLJL00by5ZIZ/PYe6J7h+uLFHB52uVVtbkyvRmmSFy+VriLJs0bspCXNkzw3WuzDzbSm67VbJ3253fTNzLlTnIZGc9g3Q+itvxuQkvUi9xZfaCG1eWwmK5MjuVNPcsNpnP9GIy2T0G8BkLTKbM2SY/V/ZId17y/gtlOa6f+8aLptd6mUy0nMxTlK+kM1uHxLlUSaLvS5zFZT6MmDNLP35pRbkotrCc7SUe32tFtOl1bqM0r0Q8jCR/S1T+XPFYMow480qcsxUrpGe22TBpRo94+bwQ7pteizPA8kKauxSH9PGpRKdU4m00v430ePBal76uRyteml7nM6bvD8xzucQZXJLvQbSKCmaN8cXzoBYtA3Ee2Rs8lQwj/gxFVNVNr2N06fku5tPxYOnzrUMydDACSEBOZmebB7aC9LiuN8iv/yoLOUwGg3xWoqXsLgBQKuVzoyxlXAmC/A0YlufJQl6VUj4/0VL/lvIL9Qb+mJlGIfDnWABgYJYyJTO3/9UZ+OMuADjY8ccCANDq4iyMyXLOjaV8MIOFXEydXn5c5uPJruygrKZ1d4Sgls9de5fMy4y4wMNqd8M7ZG5pIb+epHGQuRYzpxKs540W8Ghhtfu9F8EZTiMFltbPt77JO95q98gXazOcRqncHa12P/1mRYbjyEiJFOvnpvnzNMtwHEqFfFaghmmB+NPvNV/k80WVW4QQQgghhBBCCCFWCOzt38eYDsk8ytwihBBCCCGEEEIIITkWVW4RQgghhBBCCCGEkByLbkvMRnobBZTq9PrFFLlMHptikvcaHd+PrcqNK4vX8VlXcjlc4sySNFHaC5L3he1qcf0ooOTKHr/ez5U5qfJxZQUKdZW8T4z9h+vH2bYIV3b44RCurIpDO64MMvNmztG5LFeWnHRHpk+eq0t5royZ5SVcucNnZJlnwgBA3UP8JnjvRQhXVum3qvyMKKTDPru3jutFnLmFLMg7yG551GWhFmxM719oLnP9KM12awWMfKabRuDzYBj45VNC4Je7eb4W8DYLTCwFfO5IWec2XNmThD+5MnuZ7dRJkOZMpDI+i8FdXZorM9+WASAXvuDK5DIozHN15PK1XJUFuTK5nCytIZkrS9BKt4fcjhW4fpISX3FlbuD3KQnGl1zZK+ODDId9YbjF9VNaXc/0Wsv0OK47yvWT02ihBYMAR1GWjFpwkPQjztnKJaRn1Iiz4rSQrvt2SB9HnBBjem3L0vMxzPPiYoT0Y5M4y8rF6GJ6bb7umedPpXFQpGcX5TZKs4Fy26TnKoozrvKKcrWeC9IcR3E2nE6Rvk/XsvTPbcOk67Kr4Gl6/Yal7wfEn/uZ7opkGLUoh8zZ6Gx6LV424owtQJoV5sjSl5WNTF5emngh/btTi/LFxPlqerOMGvF3Gq97YnotzrpzFKSZUeL9kYPgDi0zAGZZXjmNoFBx+ZpqpYUsHgvHVhsbV9lyvd565o8crcy5HwDYqJxly41G+Qwno4VsJ02q/PdlafwqpYNsuaVssP/vKlvKmEG2XGUpB8zCNNQW+tdoY2TLBUH+XNFSzhgAqG3k1wG1Uv67tsQA+eyunE7jZAPY2sh2s7GRX5fEDCnWM7NsMsi6imf8OUNmOSDjzK1k42ur3d/E8edemeVhw1+nZEbJXH4Z9vM85rjV7g0L/pjhOB5EbbLaPc7wxGp3RfThDKdhKVswu7Lq6LbETxu13CKEEEIIIYQQQgghORa13CKEEEIIIYQQQgixQjC+/fsY0yGZRy23CCGEEEIIIYQQQkiORS23spFR9fYvjVrgs3bMs60USkeuH60hnitTQc2V6ZHKlSWDzx4yzzt5nBrB9VPU4Ruu7HbqWa6smh2fWfQs6n/S6cnkHjg7leLKKivacmWJKY+4si/yNufKzLMzHEr4cP3YxzzkynLn5+95F6L5+8ffPJR+poolA7h+Kin4zU1Xk5+PEgf5OmfhCz6P6OmpMZL3knyt/3fn6Yb0aUE+1yIneam9BhvR+imXbaURpFkWRRRfcv0kGvhMOnHWTJpUQyxX9i7bUUFVZa6f5wn8dvRCweecFGJ8dtYrdl/y3kMoxvXzWnuDKzPPOwIAW4ULV6Yx8stR4Ep4rwx3ubL8NpW4shjDfa5Mz6Tfk00K349RZp0VZObMPAMIAOzAf04bwU7ajzHz2Tc5kRpq2EABrSgvygCtWT+25oMBAOwFN9NrDZNm0ShFxxmFOM9LNK4kSI9Pdix9nRQfa8Q5VOZZblHGq6bXNqLsKPOsO7GnuvQ8Pp1on6Bl6duvLaTrgwbpn6+4UMX0Ohnp+SpvhGcWpyn+DIlCrOm1E3OT9CdZX1n6uHWSLCzLmTzinC1xBk00kx4P7Vn6+YKD4G56/Zql593JZfClEWfxGUTbYiyTLgN3If370rFU6D+DY43BkAqDIP0cepnsQIA/Z0qjVNrJlptndIqlauSztZQW8qQsZdHoDfL7NqVCfjyWMrQslWu08vOpUMjnLQGWs6ws5Vhp9Xy2JADYqfn9PQDo9Pz5LGAlB8zCslNbyEoDLC9Xi9+phWmozM7ljUxvKZIsR7FN1MFWK5+blWxhnRGzUfDXOGIphozHkRFxTqIce1WeDMehsrAepEnVWc/kkssmzaxHL3dZ7Z7A+CxSc5UKjLTa3dL+RUwpWN7mAaCQU/0MxpDxiu9RgL/+A4BUQzJw53SGw5P/FqrcIoQQQgghhBBCCLGCAuU/bXRbIiGEEEIIIYQQQgjJsajlFiGEEEIIIYQQQogV1HLr00aVW9ko2U2A3i49p8Qoc8++eeaPjUxegmwGjcKDK0s0vuDKzDO9AKBCnl6S91ejf+X6iU6+xpUVQHGu7GXihQyn6WxbmOtHTkIqn4kl99mTEu9wZY8SjkreJ/7Nj8vNqRxXlqvARK7swZXp/LAu0kysK3emcf1UKj2bK9MdnMuVxcfzy1aI3MSVubpW4crMeTim501pmA5I5pdNTuIkeEAtymhzFQpy/bw03Ja8f2XgP7MafBZKLmURruyZ4TpXllsoxM+Y2QFILqdABz5vpLSiJj8uGalmn0Euj0cBPvcgAXzug8bIz0cxx4ZcWbJGmkv2RP8P108Zp1Zc2dPEU1yZDnwGR4JglhUoE9OjA5+V4q7i921yjZCj9Je4slSzvLQSKn75izMMtVaycXKSt8tRIVmeDpDmytiJsptSWKzptTiHyjzDTZzbZcvSs3nEWWmukH5fRuhl+xNnczmYZaGJM6tcFPlNr/WiDDAdk363SaL1SyOkr39uLD1vJcUsK89NSM+fSjKk55Ukg8+1TKNm6fsSG1EGWR4h/Xj4it01GyZVNEz6MnUT5YkpzE7PlCw9Fy8Or0yvHVl6tpz5fk2cg5bK0vOLHOBsem002zb1ou/URiazD5DmsAHSzCkbwQ6M5fzMLYWggsIsS8bWQtaTwSCfj6aykJOVqrWcx2NnK58HpDfwuYiAfGbp/3eRLdXq5DOLLH02S3lVSqV8Rh9jlvNzLOWGGZn8NCzlWBkMfO4lABiN8v2rVPI5TpbmVe5c3DRto/y07dRyxyXLOWDmFFmQwfQpeOplC7Wd/Lpha7ScI5hGreCzh8UMGYyDsX+/HK2tw2kyyqK6y/hrHzFn0T7Ycj/5M+zH6vBC3gz7UTsVtdr9xeOQDMfhZGf9Gi4+hc9mFXOx5zNkzb1+uke2XGNh30H+2+i2REIIIYQQQgghhBCSY1HLLUIIIYQQQgghhBBrjPg4Tzf9DJ6gmh2o5RYhhBBCCCGEEEIIybGo5VY28ridCjt1ekZHNJK4flRMeu+6WpWP60fu/vBEbRRXlopkriyvshRX9ibuH8n7ih59uX6Skvh7qFN1MVyZkx2fTxSdKM3CcbTn+0lO5jOxihb+livTJj/hyuzdKnBlCXf58ZnLVaANV6a7vjvD4eRUrRnMleljbvLzNWAmV/ZF8E6u7MqNCVxZqfx9JO/t3Stz/cTF8blDOVkSi4aWpdfJuyn5e/3NM93Ms4UA4KXwmCuzNfBZD0qZXeQb9pQrU5n1l6rntwU7wYUre2DgcxlyMz5nwQnSYTXgczySZcocZHIdXJQFuLIXSfx8qATpvkcun+9x4gmu7I0QzZWVUPLZVnqz7K8X7BbXj3nG09vh+MwNO5U7V+YCPgOlhJ1ZNp5mL9ePpzE9x033mfxslgsFoRaU0Ihym8zz2BSiTCZH5DK91ory3dSQZtckisahFK0fRlF+jHk+nHibUiF9HRPnVSUzaS6QOCtMnHWSakzPwjLPh3JleUyvFSw9O0mD9GWghnQdj2bpxwlH0X5DvB66Q3q8ikb6MOIMsWfGG6bXTJCuRyrRZ01l6Z8hCfK5WADgivQsplik5+GJM9F0gnRZ52LpGWJvhGem1y4sPV/JUSnNZRGfT6hEGZ+phvR9mlIwz/cT/U7KAOEzyA9SqZygEtSSMkt5VZZyr/QG/pwOAJQKtWw5ACgUfHYiAKggn0Wk1cXJlnNBkP9PbcMfDwHLWVKChd/AFYL85YNCyedZprGU36XVy38GG5V8LpFGHyvfv1I+W8tS7pVK6SBbnqrlj2Hp05CfJ0ufzVJ+l3l2lO4zyXfM9YTB1lZ+3dNa+D7FElMfWe2uZfx1jJi7wJ/fmBNnSsrRvENOmofay2r3fFrrOVSJ4M8RzSXp+ZxkMU/nGla7OzqWzHAat2/Ps9rd2ZbPojWXqHlmtbtcNrLYk8S/MpxGuS8GyJarjKmAfBzhB0WB8p82arlFCCGEEEIIIYQQQnIsqtwihBBCCCGEEEIIITkW3ZZICCGEEEIIIYQQYgXdlvhpo8qtbPS0oh3Udun5BHLZBuZlBpn7+u3UubkyZ4EfV3Iqf493jOE+V6Yz6KTz+eoy148T+Gl6OlXlytxy1+bKXidekbxPSuHzj5K0/D3cebgS4Fn0H1xZ3Iv1XFnVMksk72Oe7+f6iYkK5coEmVyJAgU68jNitrx10de4Xp5F8Tlcee/yOV/Jb/7hyp4q+O+pUi5pflBKDJ+b5OpaxfRaY0wFkvk8r5wkGYmwEd2/rzXc5voxz9FhMrlJ+cFnESSZZRABgLvA58EZwWdjxDFpNoJaweej6BmfFaUy8uuXDilcmaeqjOT9Cz2f3ybO8THNB/gMEq2RDyiIw0uuzIVJtzjz5WqJK8vFlb3QX+fHL0izfjyEYlw/L9k9rizJyM9rqpbPbJHLCLuf8qfkfT7wuRhqIT2HRWAGrntOpEMywJSSrCRnJt2HM1FelK2Qvv7aCek5KTFGacahOItKvK4xUd6P+fYnno6jMj0X7bUxfZ8vMOn+VCHa5lMM6blHiYgV9SV+DbghPZ/SIMr9Emd+uSoLSoYxGB7IzrdelPmlY9Lt0w7p64uDkL7uO4o+p84sJ0Y8vlRR1qY4V0u8HgJAgmgfk1cobnqdzNKP63kEaT6KOFsmv1De9Po1e2B6nVspzfNL1KVnChoM6ctN/J3qmDSfyUGZvi7ZKJ1hw3SAVnqcz2l0+gQozLLFFAr5faBRJgfwbbl8jpJSwWcJmqZrIUNLpZLPk7JEaWFe5c4hAWmWnWR+LOQP2dvx+a/W+gcAhSCfNeZgx+dMAkCqht/XA5YzfGxU8nlimf0eVEr5ZfR2GvLfg8ZCHputDX88BACD0WxZMB3wGRxu4j0FqO3kvx8npeX1Po1SYTmzDQBcFfw5mViKnj+PM+dpV9lqd60+3mp3AIjUH7HavaSymtXuCoN8Tp9YArOc/QYAyfEHrHav6FQ6w2nEG59b7e6mLGO1OwB4utez2t1Sbl8al1Q+O5lnKf/088hFJVmLKrcIIYQQQgghhBBCrBCMb/8+xnRI5lHmFiGEEEIIIYQQQgjJsahyixBCCCGEEEIIIYTkWB/0tkSNRoOEhATkySOXlkRsUgFxooNC5uuwVblJ3huZjuvHKJOhYClXwZwa/D3whR2k908nafj7oRUyWVR3E/n8K0sZFZLxa6NkSvl619cvD2c4LgAo7NyQK9MkSrN7XFov4fqJCvHlymJ1D7myCq6VubJnUf+TvC9SZTbXT34Fv8yEc3z2l125HlzZNzJ5GJevjZK8r1QhkOsnNfaq6F3OvwvZGe6wyaBO3jwTywB+W5DLv5LbFlIZn3/iouIzHxwFT8n7VEMs10+ckV/Pi9hU58oS9E+5Mp0xSfLePK8KAOIYn50gl6NinhkEAC4yGXrmmT8pjM9SSRT4bAoV49czpcy694ZJP6cNbLh+7GUywxLNspUAwAluMtPMeN8jl8eWwNJzXnSfSZ6DncINakGFJEP6Z3NWfiHp540hfV8nznES5yuZr3fiXDPxNiXO9jJf3wxIP4aJ89+KiTJKzLNwUnSvTK9VokwWlSi3JplJM29y2ZYwvX6tuWF6bSNaL8zz58RZPrairLFcokwpg9kx2MaYPq/inKNYwyPTa3vBTTKMOINLjfTPY6tIX98Tja8kw+RWpX+eeNE+Qu68wTRvom1YJZo3T0V6jkqsVprnKN7uHWzS92vi3BSD2f5TrUrP7TIYNGAs56fgMsYkOWNvy/jzr7flmcuDMVjI6AIAlVI+08lolJ+2SukgW86YfM6UwcDv/wHARuUsW643yvefmMKfGwHW88Qc7fnjDCB/DgsAOkOSbLlS4I8VAKA38HmSAKBQyPefopXP9LKUVwYANjbyuV6WxmV53TDPpZLPqcppDKq3f3KSUh7JdxBRCtaP23LH7Mx6mcrnCEvmQSa/lOvHQkadaRpGPg9WLJ/KK8NpCAbr05DLFRWLfv1XhtNwNjt3NWdra707ALyI+dNq9ziD9Uytcvn6ZTiNpCQ+fxUANOzdrnWz3EcKlEfOP5Rmi3/VcisiIgIdO3bEzz//LClPTk5G586d4ejoCE9PT3h5eeHo0aP/akYJIYQQQgghhBBCCDH3ryq3fv75Z+zbtw++vtIWL8OHD0dwcDDq1KmDUaNGwdbWFs2aNcOxY8f+zeQIIYQQQgghhBBCPrq0QPmP8Ucy71/dp3Ty5Em0a9cOnp7pzRbj4+OxceNG1KhRA8eOHYMgCNDr9ahevTpmzpyJBg0a/Nt5JoQQQgghhBBCCCEEwL+s3IqKikLlypUlZcePH4dWq0WPHj0gCG/vIVepVGjXrh1+/PHHfzO5D+Lnn3/GwoUL8ejRIxQvXhyTJ09G165dLfY/ffp0BAQEyHa7ePEitzysKbL/OuxUTqb3CTL3mptnDqiVTlw/cg3wlAr+nnEHwZ0fvyhPJY15xlaSIZrrp3CuplxZbiWfH6TTxXJl5plIctk4zrYyuUaOJbgyuUwhR6eSXFli4g3Je2HvKK4fOQyGd+rvmu6QdPz/8PPl6lyBK4tLuMaV5YqtwpUJMnldHg5m4yvIjx9vRNkCFrMfMic7txk7wQVqIT1nIMUYy/WjN8vYUsnkJ8iV6cFvC3KZBvH6x+8yqxxPdUWuLFXPb1taxueMmGeE2Qh8rkkuoQBXlsRec2VymRVuysL8NM2yVpzA7z9sGT8fNjLZZXK5Z8mQ5nXZy+RmOSr5vEZxNlQatcDvF1UC/x2bry8p4HPEXEUZFFpmACCfpZJZ2bndOKjzwVawgSE1fT0yz45yFNLzcMS5J+J9rPk6YRTtH8XrpFqZnsGUor8rGUaca6US0vOmxDlS9gppro34uBerT89tcVSI5tks602lTJ8fOyF9fOJxaQzSddBJ8DC9Fn82cX82CmnGkYal5/zYs/RsH/G4FGYZQeIcHldVen96URaTOPPLfByuNoVFw6R/Jxqj9PPYiJavWpTfqdWn95dLLT2uJutemF6LlyFj6ctDYNLjm16U46RUqKHIosyt7Nxm7G09YfsOmaEAoNHI7yM0OvnMKBuVfG4TANN5szm9Xn5canUu2fKkFPmcG5VKPtNLp+f3hQDgYJtPttwSS5lhAJCULJ+5ZLRwnqW2kANmNFrKE5PPMlNbyMmylFdmKX8MAPQWcsBUCvnPnaqLkS03p7WQkfY+snO7sdbaxNZGPnNNLFXHnxOJme9LzZnvn+U4Muv5ZkaW8Xl/UUVl69NQf2G1u6WMNjEPxy+tdo9JirTaPVE2z1hKyOAGLoXMtSQ/DuvL01VZ0PoI3uHaJCH5vmx5Vm435PPxrxOmExOlAY6HDx+GIAho3LixpNzJyQlabTYFv1mwefNmDBgwAH5+fhg0aBAOHDiA7t27I3fu3GjevLnVYRcuXAhHR+nBrFAhvkKGkM8JbTOEZB5tN4RkDm0zhGQebTeEfHgCPk6g/OfxmImP719VbtWqVQtbtmzB6NGjYWdnh5iYGPz+++8oVqwYypYtK+n38uXLyJuXf8KXGGMMixcvxtGjR1GkSBH0798fX375tuZaq9Xi2bNnyJs3L+ztLT+NJTNmz56NunXrYufOnQCAYcOGoWrVqpg1a1aGB4H/Y++8w+Smzv3/labPbF+v1wUXjL3GNsUYMD02vYaASYCAgylJHCAhucC9QCBgAlwCcSCXcEP9BSeUNMC0EAwk1FAdigEbGxv3vt6+O1XS74+9OzrS+2pmZ/su78ePn2f06ujoSKNzpNWc8znz5s2TWSCFrxxSZwShcKTeCEJhSJ0RhMKReiMIwledbgnlFyxYgNWrV2PatGk4++yzsc8++2DHjh246qqrHOnq6urw5JNP4rDDDsuZ38KFC9HQ0IATTzwRAHDyySfj17/+NS6//HKUlpZiwoQJKCsrwymnnIJ///vf3Sk6Nm/ejBUrVuCss87KxnRdx5w5c/DWW2+hqYlOcS8IX2WkzghC4Ui9EYTCkDojCIUj9UYQ+gbN6rv/QuF0q+fWoYceir///e/4z//8Tzz99NMYM2YM/vd//xff+973HOl+8IMfoKmpCRdddFHO/NLpNG666abs8h133IFTTz0V6XQab731FjRNw5o1a7B48WIce+yx+OUvf5k3Ty9WrlwJAKipqXHEa2pqYJomVq1ahQMOOMBz+x07dsAwDFRWVsLv79ppTIwdCwRsN4nxZpqksVyD1w2TOgW4MdGmRYeAhhQPSjbGeG4aM06nTbGPjh2vZ1xRq8y3SWyK72skNqLM+ZJT0+j5446ppWUlky5MYhwbGv/hWB5XRn/BakhTl09FgPF3NX1KYiNM55jykbudTdK0NdLtRo37Dolt3fAoiXHj4nfFVzjTvJHbI5a06PVVCAOhzhhWGobijIroZSRNZcDZa7Q+uYakcXvfACAA6mrgvE2xAK0PDSmnDyCo5fc+ANR7BPB+goDP6QBpTK2jeYHmVaxzvhTqN0ib1CPic7ktOJdW3Gqk27E+M9oe7RZ0Xiu7Up+TNJyLRXVDZfO3aLvYbDWQmJtq/xQSazN25tx/oQyEetOW2oaM5nd4QBIZlwtGeYgylesyoFzLft15DajXiHoNqZ9DcPrQoj77+0uZttYgqnv7WNR7RFVoGnsM7vtUQ3y1vb3Sfqr+rLDf6ZFrVO4BRT7bvVYStb1ULXGnc68suHv2s66Usy29Lfs543JbloUm2OXJ1CvpbHeV27fSHF9nlztg965oy9jXa8xfrW7icHaqni2f4pIyXHUn7LcdTqobTHUpWS7PScrD19RVBkKdMa00TNM5KCTVSX9SB7EIdRkCQGvc29sY8NPntFwkkjvZeNDD65VMUw8jAOjMvQ4ADJPXiXC+U8Db3QUAPh//vObzGHxjmvwzi/v668DLJ+aVPpWm9y8ASKbr2XiuvLzOn5ezzL1v08qgu7ebgVBvyreYCIV4h5IVyu/cSuU49wAQyOF0A5z3Ls80mZac67lnKZKHmfvLSibo3ysqUV9VzvUAoHfS+edFs5Xf61Wv527TSlsn5FwPAGNHn5tz/bINv8i5vqT1i7z74J5bc8eFrzLddm4dffTR+OCDD3KmeeCBB/DAAw+gtNRbogkA4XAYiUQC4XD7DTAUCuGAAw6AruvYb792yfb06dNxxhlnYPv27Tj//PMxffp07L///gWXe+fO9geCkhLng0RFRfvD7o4duRuFadOmZct4zjnn4K677kJRESd7B5LJJJJJ+wFSfj0RBiNSZwShcKTeCEJhSJ0RhMKReiMIgtDNl1sXXngh5s2bh1mzZuVMV1paildffRV/+MMf8Lvf/c4z3XnnnYeFCxfiuuuuy8aKi4vR2kp7FVRXV+Pxxx/HTTfd1KWXWx2Nss/nnA0tEAg41rs59NBDcdddd2HEiBGIx+NYsmQJHnroIdTV1eGpp55it7n11ls9ZyIRhMGC1BlBKBypN4JQGFJnBKFwpN4IQt+gmRY0s/fHDPbFPoYi3Xq5tWjRIhxyyCF5X24B7d1lf//73+d8uTVs2DDMmTMHP//5z3HppZeisrISV199tWf6WCyGYDD/NKUcoVB7d0/DcHYtTafbu6N29B5zc9xxx+G4447LLp933nkIBoNYtGgRtmzZglGjRpFtrrnmGlx++eXZ5aamJowZMwatw6PIhOwhHxbTJ9k9NCgaovlz3aTDoWoS47pNc8MXI67p0dUhEB1sSSwlsf2KvkViu1qXkZgv7jy33NS+m+PvkliZj3bxL4nsQWKtLatJTIfzZs9NPTu2/FgSKy7Zh8Q+W7+QxCpDzqFw3BDEL3c+QWLDWlaQWFkJnf63sekTEtt7rzscy/G6j0ia6PBDs58TRivwyWKSprMMhDqTRhxQpqHXLdqEaa6ppIsDNP+Qv4zEuKmZ1WFT2bKk6HTmEd05HXtRaDRJw01xzQ1L5PbpHrrLDQmpiu5NYm3JbSSWMeMkZjHDBt1E/HRIgZmhbU/Cor/gckMJ29LbHcthjfbsJfUW/BDd8vAkEmtKrqPlcA0pbU5vImmqYvtlPyetNNC6iqQphIFQbzJmArrmcwxTazScx17uG5f9nDDtITNFAfvazhhtnscZ9tv3iaDfHkbbmtziSBc37WEnziGP6lA5Z73wafa6tNGsbGMPk0wZzuFQljp8Wbl2HUMuXUNcKjR7OE9GGVq5q8Vuf93XkDqsz++zy6Peb/2ua1YdFqgeQzRoD2FqbHMOp1aHUFrKVPVh3btHvJp3KFCW/awOHaPDfOwhYj5FD2A57pnO41HrpE+PsO1yIQyEOqNrAaJHCAZ52XbcY5ihz0Ob4BVvhx9mw+kbACDgMdRP02jbCQB+02tYF/9HlFdZDTPBxv1+vqcPAJgZfhig1z4yBv1hGwBCAX54m9eQyDZjOxsvDo9j47pOn0k78BrKqA77VbHSHsOmXM+gXsMdC2Eg1BvTr8H0e8zxxjx3kyR5hplxahaVgM/7+uugibnvq6TAX3cqPnhfIwDQCv46yW5v5N4eAJqaXs+5nntmUhkVzt/xoyS5Oef6jxPP5s1j+q7c7X2JTq8flU0tb+bdB/fcBwBpGZYoMHRLKA+0+7R8Pl/e/5dcckmn8ps6dSquvvpqPPLII7jtttvw3HPPoa6OHxO8fPlyVFfTlzidoaqqfbyzuyttx74KmTFk9uzZAID166mzCWi/4ZSUlDj+C8JgQ+qMIBSO1BtBKAypM4JQOFJvBKFvEKH8wKbbzq1Zs2Zlx2nn4rPPPsNrr73WqTyDwSB+/OMfAwA++ugj/PGPf8T27dthWRaGDx+OESNG4Msvv0Q8Hsf111/fpXJPnjwZALBs2TLHLxarV6+GruuYNIn2BPCisbH9DX1xcXGelIIweJE6IwiFI/VGEApD6owgFI7UG0EQhB54uXX22Wfj+9//ft509957L1599dWC858+fTqmT5+eXd6yZQvefvttNDY2IpPJ4JZbbsFBBx2EQw891FN8yDF69GhMmTIFzzzzDK688koAgGmaWLx4MWbOnImysjLU1taitrYWw4YNy/7i8eabb+Lwww/P5pPJZPDYY49h7NixmDp1asHHJwiDBakzglA4Um8EoTCkzghC4Ui9EQRB6ObLraVLl2Lr1q147733MHPmTMe6v//973jkkUfQ2NiIr33ta7j00ktx4okndquwADBq1CicccYZOOOMMwC0CxKXLl2KBx54AKNGjcJZZ53V6byuvfZazJ07F6effjpmzZqFF198ER988AGefbZ9jPHdd9+NG2+8ETfccAMWLFgAADjiiCMwc+ZMnHTSSYhEInjiiSfw3nvv4a9//St0vbBRno0jNATD9tj0iF5B0sQN57S4YZO6BvzM1LimQX0InL9AnYa8A01zjpffmKD+q2r/ZBLjXBEbNDodbnnC6TaqKT+DpDlwwv20XIxbIt1C/UfLvqSSyzK/09dVte8VJM2uT35DYlu2PEli23Q6Xn+v0dc5ltuaPydpJlTR44xVzCAx/8j9SOzLV79OYtqX/8+xPGqP+SQNzAz/uYv0d50p0ocjqLhHwowDxe3d4KaGNhm/RcaiLoeon07XHAxQz0E646xbCWbK+EhwOIm1GXRa9miADrWOp53TvZeFqGuus86OKFOOOOMDU309AO/CsBhPS1Sj7VjYX05ioYAzFgzQNI2ttP1IWdT71Jyk7cCIssNoutYvHcslAerx29ryTvZzT/kc+rveBPQIAprf4XAcHtzLkUZ1TA2L2f625vi67Gfd5f1JK9uozi3Vs+V2ZRT5ba+U6tpRXVoRl+dRdYUljIbs5+LgmOxntwMo5OOHyaQV51wy6Ry+oyueorDPvo4Duu0GS2ScdVvdj3o8qifM7TcLG3beavvEef+yZVM8QGp7EFT27z7Xus/PrlP9TW43k+rWUj+rjwX0mcNO5/OF4LO6bbzo9zqj6UFoLudWsm0rmzYW3Z2NJ1O0XQXaz5EXmQzv++HuWe3wHqVUht5bAG93jVeZvOKpNH12bCfXOBrexWQwHkiA98QC3i4u1XnXGTgnJcDfqztw37c6CHi4xrwcXe77qYelqmD6u94E4iYChsd9U/H+ecH9PaOi+gY5vL4flTKDd6110JbZmXM94GzfOXQz95/X3POmG9VJyTFpwo9zrm/Y9VbefQyr/FrO9SM96ohKrDj3C9CRexydc31m3b/y7uOj1dew8XyOtl7DhJcesef3IxRMt15uvfDCC/jZz36G559/3hH/wx/+gAsuuACapqGiogLPP/88Fi1ahNdfzy3H6wqhUAiHHXYYDjuM/iGTj3PPPRctLS1YuHAhnn/+eUyYMAEPP/wwTjnlFM9tbrrpJjzzzDO466670Nrair333htPPvkkTj/99O4chiAMCqTOCELhSL0RhMKQOiMIhSP1RhCErzqaZVld1pUdfPDBCAaDjpdWlmVh/PjxiMfjeOONNzB58mQsXboUxxxzDM4++2zce++9PVLwwUxTUxNKS0tx/s0NCIbtX13T/3UgSeueOa08PJGk4X7pUGdj6iDB/IrI9dwyXL8o1Jm0pxLXcysW3o3EPmyjMwSWm85fVrieW+WjTiKxnuy5NfFQ2jOM67nV1EJnSlth0Je0x4x3Xtdczy3uF9PO9tz6mOm5NSzqdN2xPbeUWfUSRitu+Ow0NDY2Djr5Z0edmafP7JGeW0FmtsTWFP1VPuyj6TrTc4ubkTDClHVXnM6WWRyg9cjdc6soRNP4dPord5yp8+pMdnb++Xtuacxvy60Z2tOEm0WoJ3tutTD7DGi0baguO4TE3D23uDpZl/oi+zkNE09g3aCsM4Bdb87TD0BQ8yOg2/cK9+xras8ttS3vSs8ttReW+xyr9yavnltBv7OOqT234hn7WlV7brnvZe7rN5tOmQ3Y3TZ49dxSj9N09RxQe26FgnbParVXSF3GOfNhVdD+pVvttaL2lHLPGBkN2j06O91zS7e/L3VWYvV8unu7qGXQHT28dGUb5zOH2pPG54sgaaXxvy1/GZT1pqPOXDnscoRcz1FtbbxcOxIeyca9em7l6mVbaM8tr5kGUx4zExbacyvA3C8AIJ7ge3T4PGZv7Ng7D/9niOnR25ybLRjgn3sBIGPwPcO4+zSQu+eWV+8w7jkDyNFzyzVzYMrK4MH0PwZlnQHsenPF93chFPQo/59/mj+fZvpMpJKv5xb3TOimLbEl9/oe6LnVZvI9J7Pb55ltEaD3Wzd7Trgy5/rO9NyKxejflCrJHui5FejFnltpmHgKW/qs3nRc5z/6jwaEQr2/v2SyCb+5s2zQtgv9Rbf6jq9btw7HH3+8I7Z06VJs3LgRF154YVZueMABB2DevHnZbrGCIAiCIAiCIAiCIAiC0BN0a1hiQ0MDolHnmOBXXnkFmqbhhBNOcMT32GMP7NyZ/234V4lh6zIIBe1fprZr9E2+3/XrQJAZs879kuHz07HaAZP+Asf1Vklazt5iM8bQX1vWbf4DidW2fkJi+xefQ2LuX/xa4xtJmjLmF7svPr+OxEZVnUBie478HontqP2nY3nnsjtJmsrd5pDYuk9/QGJTgrNJbMumvziWy0r3IWk44g2fktjqldeSWFVkLxL7OOF8WVz7yWckzcRR52c/J03qYRtsxCJjEFJ7IGRaSBq/z3ntc7/munutAEBZlPZGTDO/fhtmisnP+TtBNDSCSUP3OSy6N4m1JmhPSbeHi3OOcK6J8hLao2BX479JLBbkex6oBJgeaxGT+sF0ph1LMn4WrldZZ/IaWUJ7ZNW3LCextjg9jyVFNY7ldLqB5h+0z2PSSgOt6/KWc6Bj/d8/E/a9Qnd1llB/iVZ7G8QcvQSdvQ105XtVe1uFg7arLpHc7txG6WGo9tZTnVLuXg0Bn+2zUXtVqL2jokFnnVN7a6g9qjJxO14SdrpXmhLr2W3SCbu+hVy9PtWeMOoxqH6zEWFnb1xDKZtf6U2n9l4rCo12bOM4HqVHaUi5Xt3+LPVeGwgVK+mUHl26s11KpuzvNBSy81Z7rLnbH/U7TWeakfHoxTKYaGldg7Sr/fHqtdPq0aPLtOi9AvB2dAFAMkV9jYB3D6qMQR2EgLd7yCu9Zw+tJO+B80qf9vBhAc52QaUpvoaNu917HRTao8vLyxPw8DvpTC/oDrw8Xdw9H/DuQRcKON2U7vZ4sJIs8gEhH7tO68Q93/DoZdcB13Nexet8q7ifA9zEG3L3ugK8r7UOojr1I6ukLPrs6iafcytfz6x4gncEqtQ2Lc25fsI4+jeQmzZmhIuKtuzLnOt31r2Rdx9TR13MxpNmAth2U97tha8W3eq5NWHCBLz1lrNyPfnkk4hGozj00EMd8W3bthU0m6EgCIIgCIIgCIIgCMJAQDP77r9QON16ufW9730PTz75JK655hq88MILuPjii/Hee+/hzDPPRDDo/OXj6aefxrRp0zxyEgRBEARBEARBEARBEITC6dawxJ/85CdYtmwZbrvtNtx+++2wLAsHHXQQ7rjjDke6Bx98ECtWrMDdd9/drcIKgiAIgiAIgiAIgiD0NZplQev6fHwF7UconG693NI0DQ899BAuv/xyLF++HGPGjMEhhxwCTXPOiGIYBu6880585zvf6VZhhxrNVX6kwvZXEDeolyaoO8dcczPUFMUmkBjn9+E8DwbjYQplmhzLn22kfqoYM568qmg6ia1tWkJie5Se7FjWmdl1tq1/mMTcHhYA2LqT5s/NBjTpoHscy2ve/zHdbvNTJDZtLJ2NZPmGO0hs9x+7xpw/Rj1lsTLq4Wproq4gzq81cvw8Eitr2N+xHK08gKTR1NmyjFYg/8QnA5pwqNo5gxXjFPC7XCDc7FOqG8dO10xikfAoEuNmunI7OnSNOjs4v1Oa8Z+UxCaRmLveF0XH5y0DAJiMH6ysaAqJcXUmFHY6RLjyt7RSH0skTN0j3EyOxa72KJmingvuOBNJ6m4cVkpnHeWcW+5jaGF8fxUl+9oLVgrwVsgMGiKBYQhqAYfPxO0uUWf8VD11ybT9vURd9cGvXF+q60T1/SSMBsc2RX7bJWUq9x/Vlad6nwCnF0p13qjOHLdrJRSw71HqLIjqDFTuWU5Vp5jqiQv47DbFMJ2zCauzMrYmNmc/h11OHS/aUraTLBay3Xf0eFSHkl1fVT+au13zKY4ow7DPtcNBZDrvq6rDyzkzpDKLoqs+q64vv6+IzPQ4GImER5LZEsE8gwC84xQAEontbDzXbIlc+wnw7R7g7f5xzxqcL/90mk9fzDxf5krvNTMhAPj9vOMq7OfrittLlW8fKcbtCHg7tKIROuswAMRzzKYXCXnPpMjB3c+5MulWCkiySQcViWLA9JgwszzHLJQdtLSty7nea9bQDrxccCruZxs33OzObvLNqBgL5PaYWpncxwEA9Sbv8utAb+bdZh2EA7m9XwAQDeQ+Fzu3/T1vHsNHnJxzfe2Ol3Kur648Mu8+QrHxbNzycAgKX2269XKrg7333ht7703FyB3Mnz+/J3YjCIIgCIIgCIIgCIIgCA665dwSBEEQBEEQBEEQBEEY6gxkofz999+PmpoahMNhTJ06FY899lintnvxxRdxwgknoLKyEsFgENdff33hOx8gyMstQRAEQRAEQRAEQRCEQcijjz6K+fPnY9q0afjFL36BcePGYe7cuViyhCp8VH75y1/i+OOPRzKZxDXXXIMbb7wRY8aM6aNS9zw9MixR6BqmHzDyfANxs8GxXBKm3izOJ2Aw45D9/hISi0boxRtMO51bLWnqNYqbjSRmtXxGYjGNjvmORMc6llPJWpKmKUHHmnPHvrntbRIbFqghsfffco4Jn7Yb49xiPGVbtz1DYuMrTyUxPPpfrgB9b9zasIzEvtz5BIkNi0wlMX0U9XWh4VPH4ief/oQkmTT6wuznBONXG2xkjFb4TNvn4vZrAUDc5eGKhKn7gHNRhZl0vBuFXidux1YiSV0rqv/GjlFXi99fRGIxlxuEK79h0rI63Do5KCrak8SSyfyCtjDjH+GOyWAcKcGg06fiY9x7XJsVCVNPSlt8A80/UEa3jTjbnmBwGEmTUK6f5BBwBwHt/ihL8yMasv0abt+Ueq2kDXtd0G+7uWpbPnZsUxaemP2cMu37hnp9hn1ljm0aE19mPxcFbP9WW9qOF4ed35NK0HFN2LLVXK4V1ZOlenwSKee9R/WPZEz7mlW9Wu6mPaB4hIw0L81xO4JUb4zq2fIzdacD9ftSvyvVj+bTnXVIbb/U9sdSJLXutsRU2hFDOQcB5Tpwe1XV/abS9TCHQL3JGM3wufxqXHsBAC3NX7Jx9ZypmIb3vZhziwJOV1xnKNQn5VXWltZ1bNzr3lJWQp2h2X3HN7NxL2+YlyvLzNDnT6Ddycnnr7HxFON5BLxdXwB/fwaAtgR/bO462YHXsQ12YnUWQiFegh2Oerfr2TRta3Ou557TVSyHJ5CHe35SKS2mz+BuIh7XTge1rZ/kXB/W+frm2AfKcq5vMKgzVMUw+HZJpVwfl3N9cTj3egDYtfMfOdd/FF+cc/3++tl597Gtlt9HKo+DrbfQrPb/fbGfQrjllltw+OGHY/Hi9nN+2WWXYcaMGbj55ptx/PHHs9t8+OGHuOqqq3D11Vfj1ltv7W6RBwTSc0sQBEEQBEEQBEEQBGGQsXnzZqxYsQJnnXVWNqbrOubMmYO33noLTU1N7Ha//OUvMW7cONx88819VdReR15uCYIgCIIgCIIgCIIgDDJWrlwJAKipcY5eqqmpgWmaWLVqFdnGsiz87W9/w+mnnw6fz4fW1la0tQ3+GSjl5ZYgCIIgCIIgCIIgCEIONMvqs/8A0NTU5PifTFIFws6dOwEAJSVOnUdFRfsw6x07dpBt1q9fj6amJmzfvh377bcfiouLEYvFMGPGDHz44Yc9fdr6DHFu9SPNFRaCEXtAbcxPfQGq9wMAdGb8fjK5k8QCATqe28i0kFg4PIrE0q59lKUmkDTBQDmJ7Wj5N4mFdOrM2bj9Kcdyk0ndPrtFDyGxotgeJDaG8RZUjTyZxIp2vOxYbm3+nKZhXBElRdTfVTH+TBKrX/+4YzlWNp2k2bb5ryRWGaauo1Hj5pFY6/JHSCy2lzNdVRMd4x/a77zsZyvdDGy9gaQZTJhGAqYyfUg0Op6kcbtJQuERJE2GqQucKyqVpDcDf4Be0+lUnTON4uHJliNEy8E5vYKMxyrets6xHI3ROsl5XDSmfrjzAgCT8bGlUvWO5VCoiqSJRqhDQ9MZJxlTDrc7IxajdY0rK+fcCDHnjPNqZNINzryYcgWDdttmWSlg8P+IhVCgDEEtAEM5JwHXNareWzKGXT9UF1plzOn+SzvcN3a9VK9/t2+qOGh7HtX7iK5cN27vkOrMUh1TKWX/kaDzGlDrVjJtp1MdOH6f8xyoeWuaT9mP3Z0/6HJ7qde2us9UplnZj9O3ZxoZZZ3d7piO78e5H9Ulox53QDkGXQ84tslk7PxMxVXoKGfa6S9SvxPVqWcY9nfg9tqoeQSDle31hmr2BhWGkYLhEp4kE/k9hCqBAO+BSySok9HehnfxhMO8T6otvomNN7euZuPua76DVLqejWfMVjYeDdFnRwDIpPmhL0C7M5NDrWsq3PMpAKSVuqUSClLHKwAkPfxIXufay3vWvm/++GJR6oRtz4zPy/28YZm8r2+wsWN3IEj1ogCAEPM85cbLv9YB96yiwrlNaR65nVv51gOArtwrOIoC/LXbQdrgr2GViI/+naUyPDw95/rattzeLwBoM6nzWCWQ5tsLFSPPd3LM+Htzrk96eP1UqqdSTzIAJDItwL9n591+sOOWu99www1YsGCBI9bxwsvnc7angUDAsV6l44XXm2++ie9973u49tprsWHDBtx666049thjsXLlSlRW8u3qQEZebgmCIAiCIAiCIAiCIOTCBDo5X1P39wNg48aNjh5ZoRB9udoRMwznj0/pdPsPW+Ew7RzTse5Xv/oVvvnNb2bjkyZNwqmnnoq//OUvuPjii7t3DP2AvNwSBEEQBEEQBEEQBEEYQJSUlJDhhm6qqtpHV7jF8XV17SNLhg2js/125On2bB133HEAgDVr1nStwP2MOLcEQRAEQRAEQRAEQRAGGZMnTwYALFu2zBFfvXo1dF3HpEmTyDYTJ06Ez+fDihUrHPHGxnbVQFFRUS+VtneRnlv9SHGdhmBYyy4nLDoeNuQvcywbBhXAcD4bzh/ExTjnTyDofLtbxPh9uO3GDjuJxDgPkNt/MK78HJJmw5a/kNjmtndJrMw3hsQ2fvFfJDa+9DjHcqyYuq62bXuOxDiK6j4lsbW1TzsD7mUAw8JTSaysdF8S27r+4U6VI7r1AMcy54lIfLAo+zmZZ1z8YCAcGomQ4jrQfbSbreXqK8x5UoJB+gsGV7eisYkklkpRR0HE5f7i0nAuiUyaur8yTH1Ou1xRna3fnDMsECgjMe4c+Xy5nRIAf86MNL3OWN+Yy2uRTNIycPmbFvVh6BrjzgrR7zjpOh9c/sFAhb2vIeJBATQAGgyjcyIk1ZOlKb+Bma523+fhHUkkvT0eaQ/vTlva/m6iAepQ44iFd/Ncl1G+20hoZPZzXavdfscCIx3bmJbtpVLLGVLqDL3W7PMTC9sOOvU+p7l+R3Qvd5BI2+4+K+U810HlWUD1Hal+GPd5Vx1cmmU/7vkVnxfn8ewgnba9MKqLjtzXdeUaMVNsHR1sGEYbDM3pMDM9fEDRCH8dcu0SABQV0T8yOmhqXl7QPrzqU1nRFDbO+SYBIFZE73UA0NBQmFSYuyfnw+dxDQaYNhwAAoktbNx9n+zAy9MUjY5j4w2NH7FxAKiuPoGNe3m63J7HDkJRp69SM+MArwYbVBTVawjGNXZdyOMaVkl4OOQ6yOTpk+HVtqr4/bl7wHB/37jxqtsdhJlnnkL3wT2fqLTGN+RcP6rsa3n3sab+mZzrdVcbyBEI5PZyJVq/zLn+i+3UKeymdNcrbDzVifPYG2hW+/++2E9nGT16NKZMmYJnnnkGV155JQDANE0sXrwYM2fORFlZGWpra1FbW4thw4Zh2LBhiEQiOProo/HII4/gpz/9KYqL258NnnzySQDAUUcd1ePH1BdIzy1BEARBEARBEARBEIRByLXXXos33ngDp59+On7961/jlFNOwQcffIBrr70WAHD33XdjypQpuPvuu7Pb3HLLLdi+fTsOOugg3HbbbfjRj36Eyy67DKeeeiq+9rX8L0gHItJzSxAEQRAEQRAEQRAEIQeaZUEze7/rlmYVto9zzz0XLS0tWLhwIZ5//nlMmDABDz/8ME455RTPbQ444AC89NJLuOqqq3D99dejvLwcl112GW655ZbuFr/fkJdbgiAIgiAIgiAIgiAIg5T58+dj/vz57LoFCxZgwYIFJD5r1iy88847vVyyvkNebvUj5ZvSCAVtx4c2nHFWubw0zc0rSJpAoJTEOL8Ph5GhY7otOJ0MYcZrsqvuXyRWWjyN5g+af0vCOU68HAcxZaDjqCcPP4/Edux6jcRqdeoZGu9a3rLtWZKGO2cTjvo9idUvvYPE9ppwrWO5rYl6M4rKZ9B9Mn6KpqbPSKw2TvMbPXovZ5pPP6H5K8eUVHwygxULpsOpxTk2IpHxjuVUil4PKcVt00EoRD0/ccZpwDnu3P4Ezn/VWTeen3FiFRe7fW30Wm1tXUViRUXULdfWRv0H4fAoEssYznbA3RYBQIA5Zybj+Uoz59udH+fK8PmpzDLA+DI4N0WC8bK4PRl+Jn+o7UAn29GBjt9fhEAed4ahfB/qd6H6t8IuB04mY/t+/Lrt3VDrgwnntNTFEdtzY3q0SbndXvYvma0J28/i05z+L0PJ2zBsd5rbs+W1H0PxSgX99j02lWl0bGMZdll9SnuunquW+HrXnuzzG4LtsoqFR7Nlbs+b95s5vFqa85FO/R7U7Z0uOec1rms+O50SV7/rQKAYKkaqXtmnBstyfueDEU3TyTOB6ipT8fJYpdKNbLwourvnfn16hI1zz2oAUF68NxtPpnay8USSjxsefkHuHgU4rxOVeHwzGweAEOO6BPh7LwDE29YVViYP31dZ5aFsvKWJ+lMBYLcJ32fjANCw/WU2HmPutQB12HZgpJ0zmhlDwIkKAPFiwOAvYQTGz86fQf17OVer7R2H3+Pa6GnyObO45ziVuvr8LxKKotR3rOLl2+vAywOnUunfI+f6tvT2vHlE/VU512/a8bec64Nafml5JMi3EbqVBjqnEhW+QsjLLUEQBEEQBEEQBEEQhBwMRKG8YDM0fpYWBEEQBEEQBEEQBEEQvpJIzy1BEARBEARBEARBEIRcmFb7/77Yj1Aw8nKrH9mxRwDBsD1+fBQzVpx6YxgvDbOdadDx+5ZJx4hzrppwxOnY8vlp/iVFk0ksEKwgsZbWNSQ2vOIIx3KoZCJJMyIxm8TW7PgziZUHqLtiCujUpVHX2PXikn1ImtaWz0kM26mfiKPV5W5YW/s0SbOHRqubptMY59eaOPJcErM2LXMs730CdUE07Gn7ZbRkE3DPYpJmMBEIViKo214Nk/FUuK9XPUM9HG73EgBkXA6M9nT0+wkwLgW3P4rza8XbqL+riLi0gGRyGy2HKz+urMEArX9s/WYcelx53WRAvTLpFHVpcXlxvi63H4jzrnAuG7ePCfBwsDC+LJ/uvBY4p5fqeclYtNyDGdVXpmmaY10iWauss8+d32e7tAzDKbdQ04WCldnPqq9NdTUBQFLxr6lOENWlEvY7PTWJVC04IsER2c9uF1Zx2HZ7qdv7fbYQxudzymFUV1QkbOetusHcbYKah3rtq/fbWHisY5uE4kPSPVxoflfZVPeZ6rxy3tedjhXVx6mWO6O4Wvz+mGMbtc3QmfsTQP14qqtM0/3Qh8DzeDg8AiHXfSKV2uWRlve4cR5BAEgkvT027u/DjvNeGu4ZIleZdJ13t8UT9L4DAGWl9FmpPR/+nhHLcS/xM/coADA8nGWWR/sbio5l4+kk3074Q7z3qrTKY5r7HK6iyr0u5Ve01rNho5U/r5mE002pD5HxRxNeq0M4wLsUn7+RPnu4mXlq9/avdeJZhnsuUvEzXk833N87KtzfYCrVI7xnr+vA7WVzU8Q4Z1WSHn49FdWVyTFy+Ml581iz9Q+58yg9POf6rY1v5t3Hrjj1TQNAagj4HYWeR4YlCoIgCIIgCIIgCIIgCIMW6bklCIIgCIIgCIIgCIKQAxHKD2yk55YgCIIgCIIgCIIgCIIwaJGeW/1IKA4Elbey9RdeQdIU3XONY7mldR3Nh/EOcU6hNDM+u2wYHQsdb17lWA7HxpM0keIaEgsW0XQW48eJDpvpWM60USdBW9tGEhtTdjSJDRt3Nokt+/gSEjNr/+FYLi/em6RpbqV+rc0f/YDESoPjSWz89Jscy5xzK1Y+ncT81dRnUdn0CYmt3vooie1T6TyPW1//D5Km9gU7rzQG/9h0y0zBzPNOPuFyW3EOBs4jZzGeDe765TxNcDlD4nHq1+IcDYnEJhLz+2j+bs8U6/1iyppiXEW8T4Ieu9+1j1Sa+rXC4VE0J8avxcXc55ZNw8RYfPRWxnm43K4NM0XzDyruL8tMdm7/AxzDSMDQDMc5cfvHAorrR3U1qZ4tdx1RXUuqE6o1uTX7uSg02rkfJe/mtrXZz2Hdrh9ux5Z6bccUJ6Rh2N9PxOVsU11EIaXupdK2m0t3nQND8aQ4HFf+YmUbZ3uiuuMSSdujE1L8Qu5ruyhiO4NU/1bQr5x317WnupjU70E9Tt1y+QWVdCbsc+j4fjPOOqF6otR2UnXIuNsaNZ0GHT5r8P9uGg7vhrDr+uBchwDfZgNAwuLdWuFQted+W5Q60Rm8XFxexGIT2Dh3TwH4ewgAVI44iY1v3/RXz30PH306G9dS/J8iZoZ3I/kmH8/GA7X0fgoAZhvvHvKFytg4IjmcS4zLEQDqjjiIjYcbPLxhb//NsezP44EaLGzbrwLBMH/+UuHcHioACIdG5FzfpjgxOTrjD/X5qIdVJRDkHW0OPK6DDpJ5ysmb75xwz6Qqwyec34lccpPY9VHu9cwzqpuaMfRvLpVkPHceE0bQv+PcNDV9xudtpYG2Vey63kQzLWh9IHvvi30MRQb/E4ggCIIgCIIgCIIgCILwlUVebgmCIAiCIAiCIAiCIAiDFhmWKAiCIAiCIAiCIAiCkAPNsqBZfTAssQ/2MRSRl1v9SCIKmMrQb8tH01S7PE1uZwzAO4A4V02saCKJpRM7SMzt2uFcOMFS6txq3voyiRVXzyYx6M7LLtVG/USjD/g53a61noTMJHVg7F79TRJTvSgAPy4/mNhMYmOKTyCxrXWvkFjj2iccyxOqziBpXlx9Hokd0fRTus+DFpJYxSrqsdj65QOO5V3xFSTNZt32iGUsCxjk7aSm6dAcroP8nU91jTZz7usBAIwMvZZ0xs3gdnoBgD/gdEzEYrR+pBlnlWXRcnD1zV0nORcYDBoLMf4K7thNpl2xfG6/Ej0XOuO1SjB+Bc43pjp8vOC24zwUXH3mXDHu89HWRj176tkxh4hzK+AvQkALOjxSCcPpiQsHq7KfM0Zr9rNpqq6mYnhhZuzrNhKwnSXUUWXX2aiHXyUUqnIsc/c9d3mSyV3O8pjp7GfVVxVRfEdud5TfV2nnraxLpe17j1+LOAuhXI9hxful+sRKiya7ymafK9XXZFq2F1HXA45tuHbMfQzubby2d+zf9fxgMf49wNUWuuqg6irz+aOeeQwm0qld0HWnGYe7HwBAIkm9oQAQjY5j4y0tX3jud/TuF7HxTJzfRybVwMbr699l45rHPbOi5gI2bjbT5yIA0Cv34PPxKCcAWIaHf6r6QDbeNmUqn88u3n2GYIQNt+53DBvfPomvL/40GwYAGB5/NcXo4ykAoOzzXWz8o586/WPpeBNAFa9DikRJfu9rrPKAnOtbmXu2SmeeKyzmWUZF74THLp3wvs4BIBLl3XYd+IJlefdhejj+Osi05HZZ+YvH5lwPAJERh+Re34mXK2aCPts6yhGiz3EqhkcbpjJqxg1sPJFpAd5enHd74auFvNwSBEEQBEEQBEEQBEHIhQluHqbe2Y9QMOLcEgRBEARBEARBEARBEAYt8nJLEARBEARBEARBEARBGLTIsMR+xPI5PVvbdqfOnIpTz3Qs6797i6QxTTrG3Me4cDhXDRh3Tyg23pmEcQClGj4nsWjpXjR7Zvy7XuQcBx6tPpykqV/+AImV73EuLcfO1SRWPPV8Eot/8ZRj2e0wAoDhI79BYr4QTVdWfRSJbVj9W8fy+tQ7JM0+kZNJjHNvNL77XyS2KvESic0+3vkdFE2oJmn2Wmd7hxLpZrz50mSSZjBhGHEYynUcZJw97uuc8/VoTF1oi28ksZKSabQQTN1KpxtcEfq7gc54HjgPF1d3nZ4xgGu6g4rvp4NkYguJuR07AHUPAYDmOm9urxgAtLWsIrFIdDyJ0fMDBILDHMuclyHJ+M244+QIR3YjMbfPjPPPBEJ2uQymbR2MBAJlCGhBx3dPvnOlTvh9tqNKD9jOrLTLS2coDq+w4rJSr1f3dZ9Mbs9+jkRGs+VNJZ2+tIBfufaUvB0eOKceydEOqN+7afHeH8DpkNNhH7fq74KrLoaVNiijeMzKiu22w+25U5dV55aat7vOqy4Zv3I+1ONxX9+cJw9werXc2wR8dt6OtlOzP2ZcvjYVv68IxhBw1VlWBpZbhMo9QwEIutqyDjgXIACUVxzkud/WuqVsnHtmAYBQ0Xh+Hx75+/z0/gIADQfuzcbL3uOP2dj+GRsPj/A+toaZ+7Hxok0NbPyTE3gnlqG48VQSMf6oZz7Je4O27sG4KwEU1zEC3P/D9PN5rTiYF3Xpx/PXRirsrHeZFu92aTARiANBj6FUe77NO9FUMnHqAVbhnl9UOuP747ymKokW+neFG03P/ecz50JW8Uc68RwTG5W7DOHS3NtnOtEO+3P7x6xSvq6p6HGv1qYdc+uHOdeHRtO/AUkeRfyxmul+6qPTR0J5iFC+S0jPLUEQBEEQBEEQBEEQBGHQIj23BEEQBEEQBEEQBEEQcqCZFjSz93tV9cU+hiLSc0sQBEEQBEEQBEEQBEEYtEjPrX4k0gCElOHOo1fRr2P1gYZj+eC3vkvStK57jsQ4vxbnHuJ8WhmX78Qfos4AdxoA8DHOHGj0mKxW57aJfaijobiVuoKsKB1zHd7tazSdj/EluM5HYPxskqR+391JrGR9A4lpJj23YyYd4lgeFaauDf2Dv9FyMbTUf0Bi+1/wFxJLPXePY7nun/Q6CI88Lfs5bcbJ+sGOxbii3Ph8nFOAfoecXyvA+J3SSeqECBC3Cs3f56fOKs7JojExI+N03ASCtK6lU9TfxeXPtQ2c54vEiPcLKCph2gbGr8U5adxuDCPdRNJwnpnWZur74/xanOPMMp3XC7ed6uHinFyDkWBwGIJ62OFndLvLMsr5V+uV6nqKxCY4tlHvHybjVwScHiv3Nuo1FgrbfpFI1LmfRNx2r6m+KdVrEnFd6+p1qJYhGd9kl9l1/1OvB4cXK2XfswKua1Ktd6pvTj3OQNjpBky2rrPLoJxrp0/G+9pLpew2KByxHZbu+7l6z1frQ0Zxp7nrpnodBJV7v3qu3F49Q3Fw+fwlsIaAqy4Sm4Cw7nQEbdtG77G5CId5Z05k+MHeG5n8PU0r4t1NZlEZv+/Q0Wy8ZTSfvqma90y1Hj+DjVd9vgcb3znR2wO0dRLvQ9pxejEbH7GWrwP11fw52jaRdym9ej7/p07rePpMDABWk/efRqaP70lRsoPfRrM0Nt5W5jwGw2+w6QYb8RLA8NA4Tf35/8u7/fKf0b9xVPa+nfk7Q6Fx5+t596Gzz4Q2nfF6cn9PqQRcbmGagHffOUjn3oeVas29Ps/2AIA4/VtORUs2583CrJ6Qc7029dic65ORUM71ABBooM+H7UjPpsHK73//+25tP2/ePM918nJLEARBEARBEARBEAQhF5bVN7L3ISyUv/DCC2F14/jk5ZYgCIIgCIIgCIIgCILQbxxzzDGeL7eWLVuGHTt24JhjjvFclwt5uSUIgiAIgiAIgiAIgpADzWz/3xf7GaosWbLEc92cOXPw1FNP4cUXX/Rclwt5udWPxMucY9NjP/0mSfPlR84xqWXf3puk2fORNIll6laSWDpB33Tqfjru23K5U7g0oeBEEjMZZw4C1DNkGU4vQnDpSySNb/heJGZs+5SmKxpJYomV/ySx6MRvOMu6czVJE9lF8/JvXEVi3Dj3+P6HObdro+4H/+gDaV5N20msmBmf7nufergw3pmu6rj5JElzaSD7OZlsAu6+kuYziPD5i+FX3DEa43QLRpyeE84r11n4bakHJBAscyynGC+X25sFeLgfGCeW+5g4L5eV2EbLFaB+Cm6fnIeLesMY/wnj4eLcYpyDzH2cGpOX29cEAEWl+zBZUQeLyTgx3A4y7jw61mNoeFAiFdMR9kWhF4/OxozKakea4LqPsp/NSXZb5WtW2vXa9c6MKxWvSJ3tstL8tkPDKnX6S6LK92xt+ST7OXGg7QiKrt3g2CaktJNacVX2c2a7vb05/Xjnfr6w1xnNdn6RPU6291/nPB4tUp793DTDvs6KtjRkP+vrP3NsEx5h3wv1xl1KZrZrx4o6nULBZtvTZbbuVDaxz42ZcV6/6n05MmGuHfcrbaDm9Pvo6z62V4WUMkTL7M+t9Y5tEIxlPxr1a7KfM3G7ffFHnA4xTbfLYBqJvD6awUAqsQ2a7nTBjB47l02rB7k2D9CG78nH095Osk3HUvcjABgeT+vRRv6Xbz3j8Yv40XybVlzH/xXVMJxP//HRvLcokPS+3477jG9v41P5fX92FO8UCoT49MEdATaeCfDnIuLj89lzibcPqX4Efz58Gd6ttWsU7wcr3+osa6aVL/tgo3inhVCIP98bNz6cd/vtJ9O/g1Sm3zM65/pwM++5U/Exf5eo6A73IY+Wx9vFPZM4SFBHKilHtCp3gjxDurRoZd595PN2cc94JMn2L3MnSDbkXB0aPiXvPjJb/s3Guec8QRgatlxBEARBEARBEARBEAThK4n03BIEQRAEQRAEQRAEQciBZlnQ+kD23hf7GIpIzy1BEARBEARBEARBEARh0CI9t/qRaD0QUpQObUnqzNlvz685lvfc726S5o3rqMvpiDupM8DXsovErBT1ZBnxWmeAGXOtMR4un04vJ72EGf/ufhPN+H4SG6g3KzyOzpqQHL0bTVc2gsSsXRsdy9roqSRNsL6ZbpeOk5jbrwUAvrjTe1a3Bx3TP7yJOpfMcjrWPFVKz61ZNZ3E9IzzvEXe/BtJs/ni0+18E7wTYjARqToQYV8sdyL39cT5pJhrlasLnFfBn6bfo+ZzukSC5fT6sjLUDcA5w7iyweVvMJkyFA0/nMSMVAOJ+Vx+MIB3blmufXD+MV9kOImx7UWQfmekbjGOCs5bofkZZ1iGOmzc3wlXDrOVOu/0yDB7wWgFNpEkg476Y45BKFSC8pW23+ntC5w+tunPH5n9vH2yfe6qV9r+kXCxs13bcLCdx6hl9rWwbS/7PIdcSo9onf2drplrt997P2vXv6apExzbWJq9vHOCXT9Kdk7Ofq5cvtOxzYqL7HZ63AcHZD+vm2LfdMe97XSSpEsi2c+b9rL3k97fTrfvfRHHNg2T7ftN2XLbx7N8zpjs5+o1jk1Qsdy+husPm579vGuMXXfaSp33ybLtdvtdus1QtvFlPzdVOevx+ilH2AtK85+K2On2e9nphaodbedducX2jiVidnk27ulsC3RFQzTl7RBSiSZgwQUYzBSPPw1hl3snPpG6RgHAl+L9Op+dwLt7Yo3evyuv3Zt3Vhl+/hf8Eet4V1NzOe+T2us1/rE/GeOfD6bf/AQbN5n7JQCkGd9kdl2K9wyNi01g45u3PM7GNY/f5VMmvS8CXk5JoDzGO9EyBn3u60BP8cdnWfw1UOqRT8Zy7iNlDQ2/oy9jwufhMmvMbGTjKlPGnZdz/b8eeSrn+r3/MSPvPqLvL8253sok8+bBPlcWsJ57hiNpEvV5UuTun6JX7p53HyhlnuFUMtTp7MaM5XaU6RuoL1nFaticdx/+Ufvz8UwLsIZd1btYFmD2Qa8q6bnVJaTnliAIgiAIgiAIgiAIgtBvaJoGTeN/cPGKq8jLLUEQBEEQBEEQBEEQBKFf+P3vf48f/vCHMAy+N+vVV1+Np556Kmce8nKri9x///2oqalBOBzG1KlT8dhjj/V3kQRhQCN1RhAKR+qNIBSG1BlBKBypN4LQOTqE8n3x/6vGhRdeiP/5n//xXH/ggQfi1FNPzZmHOLe6wKOPPor58+fjtNNOwyWXXIIlS5Zg7ty5qKysxPHHH9/pfMrXxxEO2r6ET81/kzSG5hy3vfbD2SRNcA51Ljyv5R8n3dPsZlEfhQ4fiW3QVnYp/2Eb6NjwWp36DyZp1EH2hfW+Y3myj3qzNNCujpwTSVtB3wkvzzgdYSPMMSTNBzr1DYw0x5HYVn09iXHsG/6GY7m27ROSZvN/nJ39nOnHRrKn6sxnyy5DQLmmNutf9kZxs0RM6neK69Tv5E6nM78bWOjc+S/HSBJrgNPHx+XVpnt7QlSiZoTEuG1jptP91qpTZ5g7jVe6niwXly4C6vTivCwlutMB+CU+ImnUY0p38jvrLXqq3vz77ir4XV25w885nWTvKMeaUu4fW8zi7Odm3eklDD5l33s+V7YJW3beCY13CAFA8B57+zeU9td0nXe1PEGLdwylXPe84mftcm/RaJ0FgFU57pPBRfx+yL1VuW07yvay/bHVKnds8pFmu1RSL/BlUM8hAGxRzqO6H/W4i5XvCgBKNdsd4z6nHax2HY+6343KNiHLbuPcHqGkcn5XaOkhca95/f3jSJ0x3+GPK2zRNgkAUn/hrzvL8vbc+DTqAQQAw+Na3WUV9hj/ocd1ELV4l+UKjW/P0xrvmOoK/l30OTEXGa0wP5Xf4vPf1PIZGzfh7UvyM8+0AJBBYWUKuur3ULnXtJb7kAnz52i7viXv9k0J3svWgf+b1TnXv6lTd25vUGTm9kxxf0+ouO+lXaHCrMy5vk6nnuX+YJiZ2+vF/Z3oZoe+lY33571G6D06M/QwF/JyqwvccsstOPzww7F48WIAwGWXXYYZM2bg5ptvLugmIAhfFaTOCELhSL0RhMKQOiMIhSP1RhAKwLL6RvYuL++6hAxLLJDNmzdjxYoVOOuss7IxXdcxZ84cvPXWW2hq4meQEYSvKlJnBKFwpN4IQmFInRGEwpF6IwjCUEJ6bhXIypXtQ+pqamoc8ZqaGpimiVWrVuGAAw5wrEsmk0gm7eEBjY2N7fG0s1sq173S6ERXZZ3ZLtMPXZy5qYy5t6ddLVua6SrOnbMUaHd5d7oUM20zOyyRKQc33Mmdf2fL2tl0HEnLOUwhzXSLV/Pq+Gz18S8BPVln3Oert7skc0MF+O/RGdOZ7To7LJH7Ht35c3l19lx09Zg6k6aQcvRUuQDAz9Qjru662yiuLVLz71jf13UG6Nl6w51Hd8xkjhtwnQ/XNuq9J+ORLld7r26vtqruIXRqHtz9jttPrnIXWrbubpOr3fLKz11mr3Pg9V258/Aalujev9c2XJvGbZOBNSTuNRlYcB+y1znk7uOA93XnlT7XNl7XSaFOFq/7UKHH0KPPmAUeQ8H79sjf65r2+p7/L7MeKZPm0cYN9ntNKun9Iqwzzwb5hmfme47qq2Fq+cqZb1BVT5QzVzvSU/voCfKVU897tnK0Q/10rxEGNvJyq0B27twJACgpKXHEKyoqAAA7dlAH1K233oobb7yRxO94oobECJ2qr4z7oF/q+arOJety2Zgx10xeb1rv5c3pzcybXS1EJ1lHQ+xxM86oTp6fN+NP50/E5LVr1y6UlrqtKb1HT9aZxe7z1evXeQsNsftk0nWZLroYOn0umPzZbZsKT1NQOdx0tlzc+enkObN4b4MTekx9XWeAnq0378BgzmUOZ44jbb1H3JWH1Zl4AWXwLI/HNmQ/9VyqPNt0ZT+d2AY5fHie+bny6tT57cQx591/F47BI7/BfK95tbPHC6DT5yZL57yaDjp7nXSZZP4kKj167y3wGAred8/5wXoO/nwP9nvNQ3eM7WZpuvks1Wd/+zR0b/MeKSf9Xnp+Hz1BZ5678pDnWPq63mimBc3s/RPcF/sYaMyePRt77bVXt/KQl1sF0vFLhc/nFOAFAgHHepVrrrkGl19+eXa5oaEB48aNw4YNG/r8JjbYaWpqwpgxY7Bx40ZyIxZy09jYiLFjx2YfWPoKqTP9i9SZrtNfdQaQeuPFULueh9rxAHKv6Q79fT305/6/yscu95qBRX9fi73BUDym/qw3Qu/wj3/8o9t5yMutAgmFQgAAw3AOb0mn24eIhcN0drVQKJTdTqW0tHTINDB9TUlJiZy7LqLrfavakzozMJA603X6us4AUm/yMdSu56F2PIDca7pDf18P/bn/r/Kxy71mYNHf12JvMBSPqc/rjQjle4SLL74YiUQCRx99NObOnUvWNzc348knn8SWLVswZswYnHrqqZ26duXlVoFUVVUBABEs1tW1T187bNiwPi+TIAxkpM4IQuFIvRGEwpA6IwiFI/VGEIS+5tVXX8X999+Pqqoq/PKXvyTrly5dijlz5mDTpk3ZWFVVFZ588kkcdthhOfOW2RILZPLkyQCAZcuWOeKrV6+GruuYNGlSfxRLEAYsUmcEoXCk3ghCYUidEYTCkXojCEJf8+c//xmWZeGaa64hL9Db2tpw5plnYtOmTfD7/ZgxYwZGjx6N2tpanHrqqdi6NbfHTV5uFcjo0aMxZcoUPPPMM9mYaZpYvHgxZs6cibKysrx5hEIh3HDDDWyXXiE3cu66Tn+dO6kz/Yucu67Tn+dO6g3PUDumoXY8gNxrusNXef9y7HKvGSgMteMB5Jh6kg6hfF/8H6q8/fbb8Pv9OP/888m6J554AuvXr0ckEsHbb7+NpUuXYuPGjbj00kvR0NCAhQsX5sxbs2T+zIJ59NFHMXfuXJx22mmYNWsWXnzxRfz973/Hs88+i1NOOaW/iycIAw6pM4JQOFJvBKEwpM4IQuFIvRGE/DQ1NaG0tBTXn7oO4UDve8sS6Sb8/JnxaGxsHHKetPLycuyxxx5YunQpWXf66afj6aefxsUXX4z//d//zcbj8Th22203DB8+HCtWrPDMW5xbXeDcc89FS0sLFi5ciOeffx4TJkzAww8/LDcAQfBA6owgFI7UG0EoDKkzglA4Um8EoQBEKN9tWltbUV1dza574403AABf//rXHfFIJIK99toL77//fs68peeWIAiCIAiCIAiCIAgCQ7bn1tfX9l3PrWd3H5I9t8rKyjBp0iTyouqzzz7DPvvsA13XUV9fj6KiIsf6448/Hq+99hoSiYRn3uLcEgRBEARBEARBEARBEHqVmpoafPrpp9i2bZsj/txzzwEApk+fTl5sAcCaNWvyzuAqwxIFQRAEQcDWrVtx//33Y/Lkydi8eTOuuOKK/i5Sj/HII4/Asix85zvf6e+idItFixbBsiy89NJL+OY3v4k5c+b0d5EK4qGHHoJlWWhpacHo0aNxxhln9HeRBEEQBKHTtMvezT7Zz1DlzDPPxL///W9ceOGFeOSRR1BRUYH33nsPv/zlL2FZFk4//XSyzSeffIK1a9fimGOOyZm39NzqY+6//37U1NQgHA5j6tSpeOyxx/q7SAOKQs/PggULoGka+/+jjz7qm0IPImbPns3OTDGQkTqTG6kzvc9grDeFYlkW5s2bhx/+8Ic488wz8dvf/hbpdLq/i9UjbNy4Effffz8Mw+jvonSLd955B6NGjcIFF1yAO++8E3PnzsXOnTv7u1idZsuWLbjvvvtw4YUX4rLLLsMtt9yCZDLZb+XpbL1etGiRZ5v51FNP9UhZHn30UZxwwgmorKxEUVERZs6ciWeffbZH8u7OPvri2H//+9/j2GOPxejRoxGLxbD33nvjjjvugNmDfzx2ZR99fa80DAMnnngiNE1jJcsDnaFwn3z11Vc9v3NN07Bo0aL+LmJBcN/Js88+i69//esYP348IpEIampqcP311+cc5jWQ8LrOHn/8cUybNg2hUAhTpkzBE0880feFEzrND3/4Q0yZMgUvvPAChg8fjuHDh+Pggw9GXV0dSktL8b3vfY9sc8stt8CyLJx00kk585aeW33Io48+ivnz5+O0007DJZdcgiVLlmDu3LmorKzE8ccf39/F63e6c34WLlyIWCzmiI0ZM6Y3iztoMAwDK1euxLPPPovXX38d48eP7+8idRqpM7mROtN7DLR6Y1kW/vnPf+LnP/85XnvtNbLu1ltvRW1tLYqLi7F27Vr85je/QWlpaafzf+ONNxAKhVBZWQkA+PTTTxEIBHr0GNz09jF15PPiiy/iqKOO6smie+6rN49n1apV+Mtf/oLjjjsO1dXViEaj2LRpE6qqqnr6UDzpzjG+/vrrmDFjRjb9mDFj8Pbbb2P27Nl9Vv7u1OtrrrkGY8eOdcSmT5/eI+W69dZbEYvF8KMf/QjhcBi///3vceqpp+Lll1/G0Ucf3e/76M1jv+WWWzBhwgRcfPHFiEajePrpp3HFFVegra0N1113Xb/vo6/ulVdeeSVeeOGFHs+3Nxlo98nuUlNTg3vuuYfEt2zZgptuugm6PvD7hOT7Tu666y7E43HMmzcP5eXleOWVV3DTTTdhy5YtePDBB/un0HnId0z33HMPLrnkEpxxxhm44IILsj2bH3jgAXz3u9/t+QKJUL7bhMNhvPTSS5g7dy5effVV7Nq1C5qmYeTIkXjsscfIc83y5cuxc+dOzJ49m+3VpSJC+T5k6tSpqKyszM4CYJomZsyYgeLi4mzsq0xXzs+CBQtw4403YufOnXnH4H5VWbduHXbffffs8rx58wbNr09SZ3Ijdab3GEj15i9/+Quef/55tLS0YOnSpVi3bp1j/f/+7//imWeewZIlSwC0/xH7zjvv4Omnn+70Pn71q1/hlVdewfz581FbW4tMJsP+ctZT9MUxAcATTzyBo446Cv/zP/+D8ePH91rPgr44HtM0sWvXLlRVVWH58uU48cQTsXr16l5/CdlBd4/xV7/6FXbu3Ilf/OIXAIC5c+fipJNOwjnnnNMn5Qe6Vq8XLVqECy64AO+//z4OOOCAXinXu+++i4MOOii7XFtbi9133x2zZs3KOkj6Yx99cexffvklJkyYkF3OZDLYY489UF1djffee6/f9tGX98oHH3wQP/zhDzFv3jzcf//9vXq+e5KBdJ/sTa644gr89re/xbp16zxneBso5PtO3HUBAA4//HCsWrUKO3bs6KtiFkSuY2psbMS4cePw9a9/HQ8//DCA9h9ajjrqKKxYsQIbN27ssXtkh1D+hpPWIBwo7pE8c5FIN+PG5/cYkkJ5leXLl+Ozzz5DVVUVDj74YITD4W7lJz23+ojNmzdjxYoV+M1vfpON6bqOOXPm4MYbb0RTU9OQvnDzIeen96iurs4OPfjWt77Vz6XpPHJN5EbOT+8ykOrNmWeeiTPPPBOLFi1ih6vcdtttuPXWW7PL5513Hn76059i1apVqKmpAQD893//N1KpFNlW13Vcc801yGQyqK+vz069vNdee+HII4/ExIkTB+0xrVmzBtXV1SgvL++VY1Dpi+MJBAKoqqqCaZr42c9+hj/96U999mIL6P4xmqYJv99+7MxkMvD5fH1S9g4GUr1WUV86AcCwYcMwZcoUfPnll4NqH13B/Ye2z+eD3+/H6NGjB9U+usrrr7+OSy65BA888AAsy8L999/f30XqNAO1PvUkdXV1uP/++zFv3rwB/2ILyP+duOsCAASDwQFRF7zIdUz/+te/0NjYiLPOOisb0zQNP/jBD3D22Wdj6dKlOOSQQ/q0vEJhxGIxJJNJvPfee3j//fcxZswYHHnkkV2ub/Jyq49YuXIlAGQfYjvoeOBbtWrVoPiVprfo7vnZsWMHDMNAZWWl4+FZACKRCE455RQA6PM/JLqD1JncSJ3pXQZLvVm1ahU2btyIadOmZWOjR49GaWkpXnnllez18dOf/jRnPmPHjnX8MlpeXo4PP/yw115u5aKnjuntt9+GpmlYvXo13nrrLWzatAn77rsv9ttvv14tv5ueOp4ObrvtNlx99dU48MADe6W8XaEzxzh69Ghs2rQpu76pqQkjR47s03J2p17X1dVh27ZtqKioQDAY7I3iOdiyZUuv17/O7qMvjn3Hjh3YsGED7r77btTX12PBggUDYh+9ea9cu3YtzjjjDFx22WWDstfTYLlPdoeOYXxXXnllfxelU3T2O6mrq8PGjRvx6KOP4u2338YzzzzTV0UsmFzH1NDQAABZpUIHU6dOBQB8/vnnPf9yS4Yl9gi7du3C/PnzsXjxYrgHEvr9/qxfNBqNFpTvwB88PETokL66e1JUVFQAwIDtCtpXdPf8TJs2DSNGjEBRUREuvPBCtLS09E5BhT5D6kxupM4IQPu0yAC9DoqLi7Fhw4ZO53Pcccc5rpn6+voec+oUSk8d0wUXXIDzzz8f559/PkaNGoXDDz+8z19sAT13PED70MBTTjkFBx54ID744AMsX768x8rZHTpzjEcffTQ+/vhjAO1DLFevXo3999+/bwvaDY4//niMHDkS0WgUp59+OrZv395r+3r55ZexefNmnHDCCQNiH31x7HPmzMGBBx6Iv//973juueew7777Doh99Na9srm5GV//+tdx4IEH4vbbb++RPIWepaWlBb/5zW9wxhln9MsPPb3JZZddhunTp+O3v/0t/vjHP+LYY4/t7yJ1id122w0AsveWDoqKigC0/4giDDzi8TiOPPJIPPnkk9A0DTNmzMC3vvUtfPOb38R+++0HwzDwwAMP4IQTTkAmkykob/m5vo/omBHI/ca5Y0hBf84YNBDo6vk59NBDcdddd2HEiBGIx+NYsmQJHnroIdTV1fXYTD5C/yB1JjdSZwSg/SUUACI8Lioqyq7rDJWVlbjoootw9913o6WlBZdffjkmTZrUo2XtLD11TB08+eSTePfdd1FbW4upU6di5syZPVLOztJTx/Pqq6/ioosuQigUAtAu2R0oL/k7c4zV1dX4xje+gfvvvz/r3nKnH4hMnToVd9xxB0aOHAnTNPHGG2/gwQcfxEknnYT333+/xyXT8XgcP/rRjzBy5EjMnz+/R/MudB99eey333471q5diyeeeAJHH300nnzySZx44ok9ln+h++jte+V//ud/oqGhAX/+85+xZcsWAHY92rFjB+rr6/tkSLXgzX333Ye6ujpcddVV/V2UHufKK6/EKaecgn/84x/45je/ifvuuw8XXXRRfxerYA455BCMHz8e1113HSorKzFjxgxs3LgRDzzwAABk75c9iWZa0Mze71XVF/voL37zm9/gs88+w4wZM/Dggw+SH1M/+OADXHjhhXjzzTfx4IMP4gc/+EGn85aXW32E+jCq0jHVenflaYOdrp6f4447Dscdd1x2+bzzzkMwGMSiRYuwZcsWjBo1qpdKLPQ2UmdyI3VGAOyXm+6XnOl0uuBfu1RnRX/Sk8cEtPfWmDNnTo+UrSv01PHMnj0bzc3NPVq2nqKzx/gf//EffVqunmDmzJmOF6LnnHMORowYgQULFuDdd9/t8SEvF110Eb744gv8/e9/77WXG53dR18e+6GHHopDDz0U55xzDg477DD8+Mc/7vGXW4Xso7fvldu2bcPmzZux1157kXUnn3zyoBymOJRIpVK44447cMwxxzhmeR0qTJ8+HdOnT8fZZ5+d/UHr3HPPHXTP1oFAAIsXL8Zpp52GM888E0C7Q6xjFt7B4En7KvLXv/4VwWAQzzzzDNuWzpgxA8899xwmTZqERx55pKCXWzIssY/omNLS3T2yrq4OAL7ys5b15PnpaNDWr1/fM4UT+gWpM7mROiMA9nVgmqYj3traitLS0v4oUrcZasc01I6H46twjCodbaZ7xsjusmDBAvzxj3/EXXfd1WvDhLq7j9469g40TcPs2bPxxRdf9NrL3K7uoyfvlddddx2effZZx/+f/OQnAIA777xzUL4IHkp0vMQcir223Bx55JFoamrCF1980d9F6RLTp0/HqlWr8N577+HVV1/F1q1bMXfuXADAPvvs08+lEzhWrlyJmTNn5vyRYLfddsPMmTPx6aefFpS39NzqIyZPngwAWLZsmeOXoNWrV0PX9X4b/jFQ6Mnz09jYCKDd9SEMXqTO5EbqjAAgK4Hfvn07hg8fDqD9BUNDQwM7K9JgYKgd01A7Ho6vwjGq9Eabec899+DGG2/ELbfcgksuuaTH8u3pffTF/aKpqQm6rvfKkKLu7KMnj52b8KW2thYAcPjhh/eKc0zoHIZh4Pbbb8f++++PY445pr+L0+t0/EhaqLh7IBEMBh2TrPzzn/9ETU0N9thjj57fmWW2/+9t+mIf/UQymUQkEsmbLhAIIJFIFJS39NzqI0aPHo0pU6Y4ZqMwTROLFy/GzJkzUVZW1n+FGwB05vzU1tbi888/z978AeDNN9905JPJZPDYY49h7Nix2ZkyhMGJ1JncSJ0RgPaXChMnTszOngm0/yKWSCRw1FFH9WPJus5QO6ahdjwcQ+UYGxsb8fnnn2Pr1q3Z2L/+9S+S7g9/+AOKi4tx2GGH9ch+H3roIVx66aW47rrrOj1rZk/voz+OffXq1fjoo48csbq6Ovz5z3/G7Nmze2Rmxs7sQ+6Vgspf/vIXrFmzZsj12qqrq8Mrr7ziiKVSKfzud7/DHnvsMWR+iHjrrbfw8MMP44orrujvoggeTJw4MW+PLMMw8PHHH2PcuHEF5S09t/qQa6+9FnPnzsXpp5+OWbNm4cUXX8QHH3yAZ599tr+LNiDId37uvvtu3Hjjjbjhhhuy0zcfccQRmDlzJk466SREIhE88cQTeO+99/DXv/61xyWvg5W2tjY8//zzANobivXr1+Pxxx9HVVUVZs2a1c+ly43UmdxInek9BmK9MU2TDPsCgHnz5uEPf/gDvvnNbwJo/yP21FNPzfbuG8gMtWMaasfDMZiPMV+9Xrx4MS644AKH7+jcc89FLBbDaaedhoqKCixZsgQvvfQSFi5c2CNOrK1bt+K73/0upkyZgtGjR+Pee+91rD/yyCO7fQ47s4+33367z49906ZNOProo3HiiSdi1qxZiMfj+N3vfoempibccccd3c6/s/uQe2XXGIj3yZ7gF7/4BSZOnIgzzjijv4tSMLm+k3HjxuGoo47CrFmzcNxxx0HTNPzxj3/E559/jueeew6apvVz6XnyXWf//Oc/8frrr6OiogIfffQRHn30UZx55pn47ne/2zsFsqz2/71NX+yjnzjxxBNxxx134E9/+hPOPvtsNs1f//pX1NXV4dvf/nZhmVtCn3LvvfdaEydOtILBoLXnnntaDz/8cH8XaUCR6/zccMMNFgDrhhtuyMZuuukm68ADD7QqKiqsUChkHXDAAdaTTz7ZDyUfuKxdu9YCQP7PmjWrv4vWKaTO5EbqTO8wkOrN888/b82ZM8eqqqqyAFiHHnqodeGFF2bXp1Ip6/LLL7d++MMfWtddd501d+5cq66urs/LWQhD7ZiG2vFwDIVjzFevH3roIQuANW/evOw29957r3X44YdbVVVVVjAYtKZNm2bdd999vV6mjv8PPfRQn+yjP469trbWuuKKK6z99tvPKisrs6LRqDV79mzrzTff7NN9DJR7Zcd38P777/fqfnqKgXSf7Cmee+45C4B177339ndRukSu7yQej1s33HCDNXPmTGvYsGFWKBSyDjzwQOuZZ57p72LnJN919vjjj1uhUMiKxWLW/vvvb917772WaZo9Xo7GxkYLgLXg2M+tX5y0udf/Lzj2cwuA1djY2OPH0t+sWLHCOv30062LL77YM83cuXOtI4880vr4448LyluzrCH8WlAQBEEQBEEQBEEQBKGLNDU1obS0FAuO/RzhQO87ahPpZix4aU80NjaipKSk1/fXn2zevBmbN28G0K5dGT16dJfzkn61giAIgiAIgiAIgiAIOdAsE5rZB/+HsFC+g/vuuw81NTUYM2YMDj74YBx88MEYM2YMJk6ciPvuu69LeYpzSxAEQRAEQRAEQRAEQeh1zjvvPDzyyCPQNA3BYBAjR46EZVnYtm0b1q5di4svvhjvvvsufve73xWUr/TcEgRBEARBEARBEARByEWHUL4v/g9RHnnkETz66KMYO3YsnnzySbS0tGDt2rVYt24dWlpa8Oyzz2LChAlYtGgR/vSnPxWUt7zcEgRBEARBEARBEARBEHqVBx54AD6fDy+++CK+8Y1vwO+3BxP6/X6cdNJJePHFFxEMBsnsvvmQl1uCIAiCIAiCIAiCIAhCr/Lxxx/joIMOQk1NjWeaCRMmYObMmfj4448LylucW4IgCIIgCIIgCIIgCLnoqyGDQ3hYYiqVQlFRUd50RUVFSCaTBeUtPbcEQRAEQRAEQRAEQRCEXmXs2LH497//nfPFVTqdxgcffIBx48YVlLe83BIEQRAEQRAEQRAEQciFafbd/yHK6aefjtraWnz3u99FIpEg65PJJObPn48dO3bgtNNOKyhvzbKGcJ83QRAEQRAEQRAEQRCELtLU1ITS0lLcOHsZwv7iXt9fItOMG17dB42NjSgpKen1/fUl9fX12H///bFu3ToMGzYMxx9/PMaOHQvLsrBx40a8+OKL2LlzJ3bffXcsXboU5eXlnc5bnFvdZPbs2Rg/fjwWLVrU30URhEGB1BlBKBypN4JQGFJnBKFwpN4IgtDblJeX45VXXsHcuXPx1ltv4bHHHkNHfytN0wAAhx9+OB555JGCXmwB8nKrSxiGgZUrV+LZZ5/F66+/jvHjx/d3kQRhQCN1RhAKR+qNIBSG1BlBKBypN4LQeTTLhGb1/pDBvthHfzJu3Di88cYbePfdd/Haa69h8+bNAIDddtsNs2bNwsyZM7uUr7zc6gIbN27EtGnT+rsYgjBokDojCIUj9UYQCkPqjCAUjtQbQRD6i4MOOggHHXRQj+UnL7e6QHV1NZ599lkAwLe+9a1+Lo0gDHykzghC4Ui9EYTCkDojCIUj9UYQCsCy2v/3xX6GKK+99lpB6WfNmtXptPJyqwtEIhGccsopAACfz9fPpRGEgY/UGUEoHKk3glAYUmcEoXCk3giC0JccddRRKGROQ7OAmSPl5VYfkEwmkUwms8umaaKurg6VlZVZaZog9DaWZaG5uRmjRo2Cruv9XZycSJ0RBgKDqc4AUm+EgcFgqjdSZ4SBwGCqM4DUG2FgMNjqjWAzceLEnC+3TNPE2rVrUVJSgqqqqoLylpdbfcCtt96KG2+8sb+LIQgA2t0Ku+22W38XIydSZ4SBxGCoM4DUG2FgMRjqjdQZYSAxGOoMIPVGGFj0eb2xLKAvZO9DeFjiypUr86aZP38+nnnmGbz33nsF5S0vt/qAa665Bpdffnl2ubGxEWPHjsXF31uHULAkG2++73SyrQnDsRwJVZM0FlPBmuJrScywkiSWRDOJaXD+6tKGFpKmGBUkVuQfSWLxzC4Smzj+Usfyjq3P0jJo9NLU9SCJbWl7h8R2aTtJbEbxtx3LzW30/Hxh0LyqLdpYThl3OYlBc/5isH3LUyTJmH0X0O0C9JhavnicxBqbPyOxUYf8wrFsbaMNRaL+k+znpJnEnTt+geLiYlqOAYZXnTkFoxCAfa7rsINsO0bby7HsY66lBnMjiRVp9JeBsI9OP9uc2Upi9XDGQgiRND4ESIyrWxFESWxEaLpjOZ6uJWmSJq3LHMVMPd2Y+ZCmg/PYm1BH0hShlMTcbRYAFGt0n82W85xx56IctL0L6XSfHD6Nnu+k4TxHXFnHVJ5gpzeT+E39PYOizgDe9eYYlMEPDTHl+2pFY6fyDMJuo1JIOdalkMh+LkIJmy7mukbqsT3vNmq+gPM6ULcPIuy5jVfe3aVFc15DFVZl9nMAkexn9fx2tmy5zrXXOjXeWTSlDbXgfH5Qj8FS6kcAseznXdjk2Gacf//sZxMGUlYGjxrvDIp641Vnflz5Y4R0ZztumAn35gAAy8qwcV3jvxvT8r4eUyn6zAQAui/Mxk2DL5P7mSSLxx9kGaONT+6R3uej9ykA0L32C8Dn57dJJum9BQB0nf8TJZPh73WGQZ9xAaC4uIaNp1L8fgOBEjbevk0DGw8Gy9i4ZfLXhs8XcywnrRR+2/C7QVFnAO96c97VGxAM8ecv/vPZefMtj03OuX5Hy79zrk+iNe8+uOcRlVaLPle60ZF76GZLnvur++8sfh+5eyLtUXJCzvW7mpbl3UdRaFTO9aN2vzBvHl+svDXn+uLwmJzr48ntOdcDQKO5iY2nYeJv2DZo6o1QGLfffjseeeQR3H777fjv//7vTm8nL7f6gFAohFCI/rEbCpYgpNwEkswf4aarAQwxf7C5H04BIKjRhtdgGmPToo2nu9ENMI1wgMkryJTfYMoR1iOO5SBzTDr3cotJF2Aafz/TJTrkesjkzjW3XYA5P+7yAyAPktwxhf1FdDs/ffhN68y1wubnbMwt18MSAFg6fSAeDF3GvepMALrjO+e+M/e1z73c4q4brs5w1zSXLmC56wzN38fE+LrFlc35/RtMuSymXBzcMXWmHJ0tqwn6SxN/zjqTf+e+Ew7ue3efI+7PNvcftMDgqDOAd73xQ0MAmuP74s43R8DxIsS5jamcF/X7VNO5rxF/J7YxXedbTefcvnPbuMvdHdxtjrofr/Pb2bLlOtde67g6mA/nyy0nzv3Ya9U67G7v1DqpPrMMhnrj+Xymh+jLLaZtAwDL4tte75db3udF89jGMy/No/eA50smj5dVWpqNc8+X7enpMwkA6DnuQz6PY4BnXnxbzz0LAoCh0R8rAPr8l92tRz4Br3Lm2CbosY3l8T343PcZsyP/gV9nAO96EwyVIBjmX25xfw+QfHOce4B/JlAxO9Eecs8jKinmud9NvhdP+e6vPfFyK9+5ynec7Wn467mDsMdL7EL2w/39osI9z7rJd5/r83ojQvk+obS0FAcffDD+9Kc/ycutwYJmtv/vIGPGSZqAz/kCwzTpL37pDP2lwrLoTb4ytheJpdL014Wy0umO5Sjzq1e8ZTWJ1da9RWKTxl1KYsm2DY5lH9Mja9jwY0ksOPF4Ehu5Yw2JmWPpcba8d5djecL4c0ia8WOmkti6Jd8msUDJBBLTykY7lsdV70/SpMaOp2V9+2ESC82+gsQwhT4sJB6807EcnnwaSRMrtn+h8mVagG2Duxt5qW83xx9SI4MzSRr3r71tyW0kzajggSSWZn4NDgUrSawuTa/9qaVnOJbjCbpPP/PyMRymPZO4X+LDYeevaxHmmNJMXY6n6C+Q4RDtoba77wgSI39YxOmvgEW+4SQW0OlxcuwW2d2xzLVFTekNJDZy2DEk1tpK24EQ08vV3WshY9DeYnUNS+0yefTIGGwYyECHhhK/3RPVbzj/MFF7FiYs+7sIa3bPq6TlrCMRy35h71d6UZXo9vWaMJ3f6wS/Pd2zes9Texb7NecPCGoPuxh490LKdH6XsYB9baovBupT9rXi/vU9pCs9qU27Z6FP6R1VaY11bBNQHv415Q/ZIsvef8bV4ycFu5dMWOnFVRocn/3cmnb2bMwo58cH+7ypLx8iWpljGx3qSyf7WlZfbgV05x8vhmW/5FC/u6KA/Z2W6s66m1B6koYDw2BZaWCQV51Upp68aPIxPxYB3r2bUhm+Z1AySXuXdxAM0t7C7fvgT6jXy6dUqp6Nax4vW/wef8R6HZvXS6yM4d1zJpnmy+RFxuBfVnmVKcy1+fDuDcfdcwDA9OhtBQDBAN9zuC2+uaD0maTzPCUt/uXiYMPS2v9zaJ148dSSoL3qVcpC9PlbRddzv0gBgB3xj3OuH1NyZN48Slx/J7lpaV6ec32uNqCD6lF0NI9K3Y6Xc66vmXRV3n1YXj0//w/No8eoYz81P8253szwvUI7SLZ+mXcfJczfnEB7j0e0/Dnv9sLgpbi4GBs35m4X3Ih9TRAEQRAEQRAEQRAEQehTNm7ciHfffRfvv/8+du60X/7ecccd+PBDqk7JhfTc6gJtbW14/vnnAQCGYWD9+vV4/PHHUVVVhVmzZvVz6QRh4CF1RhAKR+qNIBSG1BlBKBypN4JQAKbZ/r8v9jPE+d3vfodbb70Va9Y4R2BMnz4d119/PU477bSC85SXW11gx44d+Na3vpVdfvXVV/Hqq69i1qxZePXVV/uvYIIwQJE6IwiFI/VGEApD6owgFI7UG0EQ+prLL78cv/71r6FpGvx+P0aMGIHNmzcjFAph2bJlmDNnDm644QbccMMNBeUrL7e6wPjx42H1gOQtWaQDIXtkaJSdtcL51tZkvAs+H5U6lvonkhg3I0UkRGcNyaQbHMvN9R+QNMUV1HVU7WOE6YwbIRB0zrQ4rJq6tII1zCwgW1cx2VMHmZ6kM+YEg8Mcy0acuois8H4ktseB/0NimZ2fkpjZvM6x7K85jpZh43qa14yzSax5BHUWjVxKv7vUUT9w5tVKx877ttvnzMzhwuhteqrOFMf2cEg0DYN66txuq5LYJJKG81OVle5DYq2tdFbN8eUn0XRxpxsq7LreAKCZmcHU76OTE5iMeyPhcmxxPhW/v3OuqyDjEeNi7hlLx0VGkzSJBJ050jBp/SuKUk9GwtUecX6zUsYPs3nn8yQWDYwgsWCAumsaWz53LHPtX0mR7RhMWimg4TWSpq/oqXpTjpEIaj6Hb6c44JwJNp62u4GXB+zvqy1jx4eFpzm2aUnaMxgFlfY/aTRlP1eGnbNfpZV2SBWWh3xl2c/uOtCWsdvripBdn1UHpd810UdK8amlLPtzsd++zzZntji2Cfls/5XTZaR4rfxOz1xb2r6O/YqTKeS3r7+A674dVpYDysQgLUnb25NxzW5crDivVD9Sa8puG9znrSQ8Pvu5KbHO3r9SNvX7BXKJwu32oDnpbO/U/WQyrTD60VXXU3XGp4WI9Jt7/gIAI0PdfbnI1VZ7zfhXqDCZc5nmQmcm0mgvD73HAkDGI861/x0E/Lx/KuXh4vJya3n5xzz36+G98jH3XwBIpzs387BKcRF9zgC8JwLQXG5Qv5lEJyb66zV6qt4E24AQr0pDi5XbvQQAuplbTu7T+Ou0ECIa77XroLiY+nfd1O16I+f6sjLqdVVx/03CsW3LEznXV4/8Rs71Rrop53oA8Lv+HnOjRelzmRtfCX3+UtHbGnKuD1ROybuPaCs/o2LCaANW9INzyzI9Z57t8f0MUV555RX8z//8DyKRCP77v/8bF110EYqKiuDz+XD88cfj7rvvxllnnYUbb7wRRxxxBI466qhO593ll1vpdBrPPPMM1qxZg9133x2nnXYaAoH2h6K1a9fitddeQ01NDWpqajBsWP5KLAiCIAiCIAiCIAiCIAxN7r33XliWhQceeADnnEMneRs9ejT+9Kc/YdKkSbjzzjt7/+XW9u3bcdRRR2HFihXZ2OTJk/Hwww/jgAMOwO677w6fz4frrrsOjz32GDKZQT5tjiAIgiAIgiAIgiAIgtBl3n77bYwZM4Z9sdXBbrvthr322gvvvvtuQXl3abbE//qv/8KYMWOwZMkSfP7553jhhRdw8MEH49hjj8Urr7wCABg7diymTZvWI91cBUEQBEEQBEEQBEEQ+g3L6rv/Q5QdO3Zg2rRpedONGDECjY1UJZOLLvXcWrt2LV5//fXsck1NDY477jj85Cc/wfe//30sXLgQRxxxRFey/kpRsboR4YB94W5IUQ9UJOj0e3CegzDjqjEM6l8qK96LxHY2vkdioVSZY3l4Fe0KmI5vITHToOPpLT/1cAWLnf4dy6DerPinfyKxXXX/IrHdJl5KYm2f/ZHEIhVOn1LigCNpmo+YN8N+Or6/adc7JFZ20FWOZb2FVsTUmHEkVrdHCYmVr6P+jvgI6gjYspfT5RCro/6IzAzbZ5ZKNAE3kSSDCk3zO1xQScY9FSqqci6Hqcuurv5tEssw3pREuo7EgkH6XUQjTn8R5+yoqqBtos54URoa6ZS34bDTDcU5wzIZuk+d8edkGA+D7guTWCrl9GlxfhLO1cVhmLQ9CoeqnQHGr8Wda85LEg4Np0EGt2OLc54lkraDKMn4zwYjGnRo0B2OKgPO7yRt2feWMOzzXhq222vTdJ6PaMD+DnXdvtbihl0v3d6cZKbB3ka5PhvTG7OfywLOtrI0MMYup2Ff5z7Fs6W59hNTvuuQct9UvVRh3eniMcHLYopC9v7jrvt0QLf9V0HFKZQx7X1q8PYlZTL2Ba06v4K+Ykc6td1TXVCqIyuseMsAp2cr4rfrajyzK/u5ODhG3cRRVw3lXKnxoO68r7cm7bYi6Cty+coGJ+lMI/EluT1JHXgdr9tb2BlMxiP6f2sKzIn/7drLVxVPbGPjqhNOJePh8PQuP2B4rAt67MPLuaUx9woASKR2snFd4z1OpsXX90CAL08uvI67Jb6GjUfDTodl2vI+b4OJ0k0JhIO8Z2xnJ1xpXo6yDjJmbjFZ0MOv5kjjo8/dKjt2/jNvHkWx8TnXt7WuzrmeeyZyU1F+UM71mWRtzvXRMcfm3Ufrhr/nXG82LMubRzDC+aJtfIHc59sXyf/8plXvycczzcAKdpUwwNF1HfE4725UWbVqFYYP79wzfgdderk1ffp0Nr7vvvviH//4By6++GIkGam3IAiCIAiCIAiCIAjCoEOE8t2mpqYGn332GUzThK7zP1gsXLgQX3zxBc4777yC8u7SsMSKigps3boVN998M6655hrHuqKiIjz88MN499138dJLL3Ule0EQBEEQBEEQBEEQBGEIcfTRR6O2thZ/+9vfyLrXX38d48aNw3/913+hpKQE119/fUF5d9m5ddddd+G2227Dn/5Eh48BwLXXXovvfe97CIfpcBdBEARBEARBEARBEAThq8M555yD4uJi3HbbbTBNu4eapmloaGjA5s2bMXv2bPzrX//ChAkTcuRE6dKwxGg0iltvvRULFiyAYfBj1gHgrLPOwrHH5h/z+1Vl84xSBMP2WOTwsxUkTVvS6bYK+KgLgPMOcU6CFOMPqiyZTmJFxVPZ8qqkUzSvpubPSKyKG5fu8lDEGz9i9kC7YpaXHUizKqVjvc1DZ5OY/tEnjuVQPfUraVHm/E+eRGIVEWZM/y7n91T7tf1JkmHvrSSxqo//QWJbzz6dxKIN9HwMW+eMlX+ynqRZMWf37OdU/qHNg45YdCyJRaLjHcstzctJmmS6gcQMgw6ljoZGkFgiSd14bi9JUYxeN5yXpamJ1pkQ47Gqc3m43C4+gPd3sV4Urm1g2hC/L+ZYDoaGkTQtrdQnEotQt1w6Qz1f7jbKr1M/H/c9taXp+S8vm0FiiQT1ArrdKw0tVNYQDeX2RwxGQnoRgpofoYDt0mpJbnakKQvZDw+acp5Ux5RPd/5YpXpDdNNu14sC9jmsTTrrX1S321nVF1Xst7dx16e6hN12Rn22U88w7TprWK76q+hdUobd3qvXXcjlXlFdVCHFX5VU7p1uJ0zCsNdZGbuOq96x8rC7PbBdm/G07U2pN+w2vCrgdIwYisOrKWHvUz2GSNjZXhlx+5ykFVdN0GfXtebURsc2sYDtKquI8s8CbUmnnykacLrxTCvtOP+DEV0Pku/a54uyaZMG777JZHgJLucvtPfLC4Q1jfe2pRnXIuD0v6modUYl5HFsaY9j8PJe5fKM+XzUYQoApoeLye2l6sDLcRZPeXwPHn6wgIefKRigz4IdcPc8AIhG6X0PAMpK9mXjbW3rHMuZIeLcMiJ+ZIL8NRDQvK/7DlIGfVZQUdsujmRqV871AFBWPCXneq0T/T4CQe9rpDN5aMzzmptQHq/XxvWLcq4fFSzLu4/YhFNzrk9ufitvHrqepxOLh6uwAzNN/x5zY3zJe9DSZj/9YSPDErvN/vvvz4ri//nPfyIajWL33XdHZWXnvL5uuvRyq4NQiL9RqVRU5G4ABEEQBEEQBEEQBEEQhK8mX/va17qdR7debgmCIAiCIAiCIAiCIAx5pOfWgKZLzi1BEARBEARBEARBEARBGAhIz61+JNIEhBT9QdpKkzR+3TlGnfMcaC6PDAD4GX+CYdCxyZHwbiRmGgnHsi9QQtJYjCOBcy0YqQa6rel0CxSN/zpJk9j8BomFh1OPldXCOBaefpzGxjn34dtBfTxm00YS8yV3p+li9HxkRjo9PZH6zvkT9CDNa/TbtByJauo78r/1pLNcU6jfbtKdj9p59NfY9B4kEh6FkDK+v7mZesx21r7iWC4t2ZukCaV2khjnxuDcHsnENhKLxiY6lttaV5M0CWaflkWdhUUh6uvinFhudJ0OE+ecYUHGFZFkXCXBoNOj09C4jKQZVnEoiaWYvEyTtm3uX6T8jEvDZPwwRSHqYeH8Whbzi1fK5Y8JMW6VaHRM9rPPTAKDv9ebwr0AAQAASURBVNrAtEyYMJBM29dRQHfeI1TPVW2b7Sgs8tvXkNvXo7rfVDdXPG1/HxUBZ91QnW/qfSSjtE9uH5gOeo8DnA61uOH0dqg+r5C/jN3efQ0Wh2yHX3NyQ/azeh9235N9ml3vdOUeqDrM3OctmWlgyxmB7QAKuJx3gO1cyqTs/FSPmtu/pLqMgj47b/W8hxW3GAAkMrbPS/XG6LpdTrcXJxK070+mlYHm4UQaTJhmCqZLc8W5AwHA7+c9QD5f4RMqcc9W7XHeb8u5IgEgo/GeKa/ftDWN/87c7sUOTJN/xvH5vXUlXJvcvm++TC0uL1W+9JyLEgD8Ho4zy+TPdTyxmY0DQCTCe8CSSXp/B7yvjZDLjwczCeRXDw14Wiv8yIT4Py3NToj4Qjp9JlZJ5nFylUVq8u7Dy53XAfcs4qal9Yuc64ePOSvn+ta6pXn3kY7TZ02V3cael3O9mc59rgAgvu7F3Ak86ppKXf1rOddXjTw55/pky7q8+wiX78XG/UZb3m2Frx492nPr29/+NvtZEARBEARBEARBEARh0NIxLLEv/gsF06MvtxoaGtjPgiAIgiAIgiAIgiAIgtAb9OiwRHWqYq9piwVBEARBEARBEARBEAYVltX+vy/2IxSMOLf6kYZqIKioANhR3p0Y7xxgxvTriscjmy5QTWIZxiGh60HHcjpVR9IUVc4ksVCE+rs4X5cv6nINhOj4d3+YOqaStR+TWLB8KokV7346iRl1rvHxkw4naTLb3iUx37//TmLaqBkk5v72ksX0/Kf2oy6lste2k9jnXx9DYlMepb6j1lnfdCwbQeqlCS2zv19zCDi3Wlu/REazr89IeCRJY8WdXgfOxxQOVpFYY9MnJMb5NQKMs6q+3nntuB07AFBSvCeJtbWtJzGuG3JZmdM318o4vTrrd6mtp9c55+aKJ7Y6louLJpI0nHclwbpH6DGFIs7rPJncQdKkM1RCwrV3fj9tZ7h2y+2nKS+dTtK0tK6xy8R4EAcjsVA1gloAmYzt4fG5PDSptO0jq4xMy36Op2zvh+p3AoCUh4NI9XQlDPo9dODX7DKEA3ab7843pNnfb1vGvr6ifrsex/xO304iY/vFSpS8E2m7PD6Xpy5j2OcnpLioVC+WYTmvoYBuO4nixq7sZ9VBqR4bAJjKdRVWvG8h0/6cSDvddar/ylEepQ5uS3zo2KZYp/XafQxu71xQcTtlFJ+J6hZze+/Ua8ewkkh5eKMGO2GmnQSAdLqBjZse50Fn/KQdWJ5/zPDPgtHIKDbu5eLyIu3yEdrwP1Rz9zgAiDHPgR0kU7vYOOtkhPf5iwb578H0aK81nT/fanuo4vZNOrfhxVihYCUb554/AHrP8nKYDTYyIUD3eBTxMX+XkO2t3NdtxM+f5w5MK/95bG7J7cuKenjVHGmi1Merkmymz2gqnfm+g0Xjc653+4vdhKoPzLsPGLmfcRI787vBho/5Vs71Zjq3TC40Y17efWjr6fM5AGhD5BlN6Fl6dFii901ZEARBEARBEARBEARBEHoe6bklCIIgCIIgCIIgCIKQk76SvYtQviv0aM8tQRAEQRAEQRAEQRAEQehLpOdWPzJylYFQ0PZbxP2lJI3PTDiWDWaMterF6MBSvBkdcK4gjbkENJdzK5OqpWn8dFB9sIQ6eWrX/4nJ37nPCuNUkiaToPtsbfmcxMpjjN8hkyAhX5HTS5GK0vL7w8NJzNh7NonFyyIkVvyJs2zmmL1JmmGvvUdiZoo6a/ZcvJbErDbqqtAM5zBgPU3f8G+47OLs51SiCbj2SpJmMBGLTURIETqYJv2uS0v3cyzX1b9N0kQj1GvWmtpKYpxHw2Dqm9tTVxTbg6ThHAslxdNILJmi7qmUqw5y7pfWNnrdcOUviowlMbd/CQCigTLHMueVSWdojPOVJJLULWe5fCoW8wsV56bRXZ4kgHcHNsepz6y8xFkvMwZ1QajODmuI+BwyRgK6lnFcp27PjXr+VfdUwFec/Zw2nI4apyfLdvao2+uas26o51dzOCXV9sx5LSSMhuxn1bmiHk/G5RRUJ7VR3T0h5bpOZ5pdZbPPiXrcDiznb4KtabvdUF1janmSaWf7rfqrUkoZ1Ovdvf/6lO1wKQ2My35Wz2FEK3NsEw3Y9zT1HFjKL87uc6CWOxywz7XqJ3LXVdW/FApUAFYaoI8ggx6Dud8AgM9HvaHtG9B7BeCsH244XyrAt48AkGBchQAQdLXf2SJ5uLjc/rlseVz3tmx6k49rOX4z93Jr+X0xNh7w83XQy/cVClGXJuD9/XiVNZ328o8BhsFfA14etQhzvwXoPUvrhF93MGBp7f85Mp3wYQV11j7caRLM3ytuivP4skrKDsibh5fHzU6Qe72R5n2Vhewj3/rkjn93Yh98Pe4gPOqIvHkgndvnq1fsl3N9otzjXqvmEaOeZwBIpZuAz/Ju3vNYVt/03BLdU5fo0dZUZkgUBEEQBEEQBEEQBEEQ+pKh8VOBIAiCIAiCIAiCIAiC8JWkR4clhkIh9rMgCIIgCIIgCIIgCMKgxTQBrQ+GJZoilO8KPfpy64knnmA/Czw79vAhGPZllysY703K5enhXA0+nfqjQoxfK5GgTqGWxAYSK4k6fUGlzPjzpm3/JDHO6VU1/T9JrHnlHx3LrTvfIWmKJ3+bxKwvGd9YnPomOHeBzxzmXI5TZ4OvfAKJbduTetA4otudTq/oLpp/w8EHklhrhY/EDGYI/MhFb5HYylnOhJEWetx7PrYs+zmRoX6hwUYyuQ1QHD6cy8l0uZw4r1V9wwckVhKhHgauvkUZX0MqtcKZf+NHJA3nvwqFqTuLc3O53SCcX0tjHA9+xruSSteTWCRM3XVux4vF+AWSyZ0kFg5Xk1iMcZ64HSUJg3ob3D4ggPencEPiq8oPodv6nT6PdLqOljVi+4z8VgrgFSuDCtNKw4SFgOK2aU46nWQB3fZemJrtxlE9Q9Gg83ptiK/Kfg75yrKf1WvRcnl2TMUHqbqnNM2nfHZeGyFfCbtOrSvuemMprgq1HluK26st47x+Vd+LT8nP57Pvse5rsjRs3zfaUnZ7pB6bG9U7pnqFUoqHJ2U4vT8Bzb7u1WNVXVhlYee9W82Pa1cAeq5Vj5p6L1VdXKGA06untk+65oeGwe8J0X1h4ovz8k+ZHh6mXG4tL0wPz59aP1QijH+xfd9eHhz+jyX3fbMDHfT5EvD2Xnnv19uhxXlj2+H37fPxdSuVovc2ANC0Bjbu5QALh+g9rAN/oISNe/m7WlpWsvGYy8vp8/h+BxvRBguhEF//81umcrebgHf96CAcHJZzPcA/K6nEW1bnXA8Ajc25RU8jRp2ec324iP694SbVsi53HuOOybk+Xb8s53oAiFZMz7neqF+TN4+dW57KuX7YiJNyrveXnJB3H4EtG9m4NQT+rhF6nh59uaXrOvtZEARBEARBEARBEARh8GLC64eCnt+PUCg98gbqvvvu64lsBEEQBEEQBEEQBEEQBKEgeuTl1iWXXIKNG/kug4IgCIIgCIIgCIIgCILQW/TIsETLshx+C6FzhNqAoNLjsKFlBUlTEpvkWOYcDroeoHmHhpNYKllLYmNGfovEksltjmWLcTHoPupCiE2kY8wTa5fQdMMOdizvXP8YSRPc8BqJhcv3IjEEqH8nVbMPifkanZ4UPUV9EVakiMT8zPD+8j8/RGKbL7zAsRyro11JY4/fQ2LF+3yT5nUw9T34I/T7nPQv5/dSuwf1gaTGjrc/p5uA90mSQYWmBaAp3pOioskkjdun1cS4EWLRsSTG+bs4nx0Y91RF5WGO5dbmz0kaznWVTGwjMcuk9S3j8ptw/i7ORZXJUMtFVHFKddDWto5u62prYoxrrKhoEolxbh+/n9atXXVvu8o1mm6nOKKyMcZ5EmDcYpwHJ5nY4lxO7aJ5KV4Yw+I9RYMVp1fH+duWs523Hw2CPts76PbpFIfGKOtsb04iY1/rpRGnW6QpYbu+4hn7/Bf77e9ag9Ohpjqe1DJouuKpcbkWY4pHTj02dfuIz1mPkkZD9rPqxbIy9vONT3c6YQzDrpuqly6oXKeW4hkDgFTG9mn5LbveBnx2PdE1531d9aU1JdbZ2+u2q9PtEFJ9aQHd3l716bndd+qy6hcL+u3rwHS3Ucq514aIc6u9nXe29YaHG4rzEQJAyMPdFI9v9txtOFTFxhOM37C9TLz7KhDg/Vbc8yIAmB4OLdPkfWKhAHWsAnxb30GauR8BgM/i3VpeeLnPgh5l4hyVAO/jzEc63cDGva4Nv4dnbKjiS5vw6d0ZStW9YVitSeoWdhN0OQPdJFPU5eumvGz/nOszKerzVGluzO/DKi2fmXO9sWN5zvWWh2fRkUeC/l2o4gvxdUpl2MhTcq73D5uaO4Od9Nl7wGOZ7N8CvbIfoWB6TIzFCX0FQRAEQRAEQRAEQRAEoTfpMaH8tddeCwCYPHky9tlnH+y7774YO5b2jhAEQRAEQRAEQRAEQRhUSM+tAU2P9dy6+eabce+992LffffFkiVLcNRRR6G8vBznnntuT+1CEARBEARBEARBEARBULj//vtRU1ODcDiMqVOn4rHHqPrHC8MwcOKJJ0LTNCxdurQXS9m79EjPrQkTJmDXrl0YO3YsTjnlFJxySvv421WrVuHzz6l7RmhHN9r/dxAODiNpMhmnK0rTfCSN2+cBAK2t1DEQDNJx5onEJlout2eIeXMcCo8isbpPqVOqbMQxJJZpde6zrPJQkiZQNJ7EjFQDifmGTSAx6HSIbLLKeeyaQY8p/DkdAz/sU+r8SR1+NomN/NDpUzLC1AkRLKI9GXfsQ50cY/6xhsSaDz+SxJqqndV33D/WkTRag+10Mhlf22DDguHw5+ys+xdJM6r6ZMdyKkn9CSbjkeP8WppG3/8nktST1RZf71jmvFacF6otTifiCDOeFjPl9K20JaizJRIeSWJGhnpAOBdVmKnPcVfbwJ0zjXE6cOe7roHeJEtiE53bMU6ySGQMiXHE47Qd447J9HC+OMth+5BSFiPdG4T49TD8WsDhZIoFRzjS1CW+yH4O6bYnRnVMGW4vj2m3o6rjylTuSUnme+0gErD9QqrfyXSd90Ta9pfosO+BhmWXJ2l4f7d+n+2lct5DnfeBgG77r0J++56huqvcZdN1ux2OBm03onpfThvO+7ih5NGQ/DL7Oea3677bdZnMNChlKwOHez/q96B6ipKKE810PT+ox6p+3+rdxqecT0pfTZHeu1gwHW4ygPchAt4OqKSHJ8vLhwU43XUqXi4uzhsIAIbLj9cB8aX9H36P71T38Y4u1Runounef1ZoGr8uHC5j415+K83jd3mv9NEovR8DvB8S4F2V+QgEeTdRpGgiG0/Fnf5HTaPP8YMRzQS8DsXtUuTI1Y4DQCxAn3Mc68P5RwxFIrvlXO91HTnS5HFqcc9ZKiVlM/LuI1jC/H2j0Ljt5Zzry8dRp6+b+PZ3cq73j/9a3jx8Zu72PjWcb7s6sHz5+9mENm/hV+h8e/ZV5dFHH8X8+fNx2mmn4ZJLLsGSJUswd+5cVFZW4vjjj8+7/ZVXXokXXnihD0rau/RIz60//OEPuPnmm9HY6LzZ1dTU4NRTT+2JXQiCIAiCIAiCIAiCIPQPHcMS++J/Adxyyy04/PDDsXjxYvzkJz/B3/72N+yzzz64+eab82774IMP4p577sH3v//9rp6VAUOPvNw69NBDcc899+Ctt97qiewEQRAEQRAEQRAEQRCEHGzevBkrVqzAWWedlY3puo45c+bgrbfeQlOTd6/I119/HZdccgnuu+8+HHLIIX1R3F6lx5xbw4cPx4knnthT2QmCIAiCIAiCIAiCIAwILMvss/+dZeXKlQDaR82p1NTUwDRNrFq1it1u7dq1OOOMM3DZZZdh3rx5XT8pA4gemy1RKJxEEWAqmp8A40jwuVwOqv+kgwyzXShUSWJhZpw558dxexFqd71O0kSZvIZNOI/EWrfSbSMV0x3Legl148BPPQ/pjW/QZM3UaRHYuZrE9HCpM1BE/WacT8OI0PMdXvYeidXPPsKZppG6HIypR5DY8Kf/RmKthxxLYqaPugrW7+UUG+z2Ki1/evye9ud0E/AhSTKoMIw2GJp9nMXR3Uma1lbn9+921wCA319CYpzrpLhoEolxvo9kqpaU000oPILEAozbg/M9RMKjHctNLStJmnCY1sm04irqwO8rIjHOPeJuBxqbPiVpykunk1iGcbu5/VoAdWxxPkHOZcOd23Sa8b8wDwVFxXs6ltva1pE0mYxdft3K7wgZDJiWAROaoy7ocLaxZUG7LsUz9vWcUhwoqu8KAEIB20vVprjo2gy7XQ7rzrbXr9ltqur5SSrXasbl9oqFbJ9NS9L2zRWHbCdb0O/cj67Zx6feI1WPkpoGAHxK2dQ64fZsqbSm7OMO++1yqscW8Q13bKOeq7Bml1t10liudkbNW/0e1ePJ9SAcT9vfaZBpA+xy296xjGmfN5/PflhpTDqdnkV+u23TNJ1tcwcbGnTS1vsZbyIApJh2FuA9iADQ2raejQPe7isvdJ13Ynl5wAAPF5fHNe7lV9M9/FkJ5pnShm9PQ4xvFgBM5VrszL59HukzRgsbD4R5T1Yy5X0M0SjvQXI/d+Qj7vJtJoeI3zGyswXhAN9vImPxjjOVmI+/Fjpwe/DccO5ON0YT77XroKxsv7x5RMr2ybk+0bg85/rOtJFtu3ILvXXNq47/3z6G5XaLAUDEPyt3HjvyX9dGojbn+qCR+3w2r/pz3n2AeX4GgKTJt2dDDXevq1AohFDI+ffpzp3tz10lJc6/byoq2tu5HTtou9bc3Iyvf/3rOPDAA3H77bf3ZJH7lR7ruSUIgiAIgiAIgiAIgiB0nzFjxqC0tDT7/9ZbbyVpksn2HwV9PuePkIFAwLFe5T//8z/R0NCAX/7yl9iyZQs2bdqE+vr2F8Q7duzIfh5sSM8tQRAEQRAEQRAEQRCEXHRB9t7l/QDYuHGjo0eWu9eWGjMM56iedLq9V2g4TGeE37ZtGzZv3oy99tqLrDv55JMxb948LFq0qMvF7y/k5ZYgCIIgCIIgCIIgCMIAoqSkhAw3dFNVVQWADmGsq2sfNj9sGB3ye9111+G73/2uI/aPf/wDv/71r3HnnXfiyCOP7E6x+w15udWPVH+RQShoj7vewYwdVp0mAD9OW9Po6FLOodPS8gWTLkFifpfTZtiw2SSNL0ArWbL2IxJLMe4Ct8HBaqXjtc1kA4kFS2tILFW3gsT8k48nMWuzM126eipJ0zKduhTKPt9KYqiinqfSNc5j8DVSB8ear+9JYntspE6Oog//TWLxqfuS2Iynnctfnki9RqM/bM5+Ni3qNBpsBPylCCjeuZbWNSSNYTi73pYU0/Pe0LSMxIqi40nMNGj98Pmprybmcko1NNDvsKVtLYmFgtSNx7lS2lx+jmhkNEnT3EzrQjQ6jubFeKZ8fuoqUR07AFBaTOuMwbQfqk+og3SGOk9KiiY7lrk2K5mgeXHODXdZASAUGk5i7u/F74uRNNGI7XHymUmAKsQGHQF/EYIuv1TC5Qny63bLHFA+B/1lnvkaihtL9UWVBMbaaSxnfVS9UE6nkf1ZLQsAmKbto1G3SWeU9g3OXyvDAftBLpGxj1X1Tbk9Q5Ggfc00xr+096n44Ny+H/VcqeuSijsvGnL6QtRrWD0e9XMoUOzYpi21PfvZp3yXhnIMqpcLcHq2dOUYVK9WKuP01anuQfV7MJT6GfM765baZvn0MPQhcK/RtAA0V1vMtXcA33YB1MXYQS6vlqdTiHnOAwDLsjz2vYuNe/mqgsy9KFd6PcT7ftrim9k4wD+rAkA8wTxnAQi46kAHXm6tINPmA0DDTuqLBLydRel0MxsHqIuyg5IS3sGUYRyaAFBa6vQQJcwE0PqE534HC/7mVvj9/Pfs03g/XCEYeRxLvhz3qw645y6VTNp7VrkOWmrfybk+WkKfl5zk7/Xjbn/c+EcfmHsPGz/Ku490PJcjDwhW7583D6ttS+59bH4/bx758O33LT6ebgY2XN7t/Aumj3tudYbJk9ufqZctW4bjjjsuG1+9ejV0XcekSdQhfMABB5BYbW37fevwww/HvvvSvz0HA73q3PrFL36B73znO3jnndyNgCAIgiAIgiAIgiAIgtB5Ro8ejSlTpuCZZ57JxkzTxOLFizFz5kyUlZWhtrYWn3/+efYF1lClV19upVIpPProozjssMMwY8YMPPjgg4jHvxozGwiCIAiCIAiCIAiCIPQm1157Ld544w2cfvrp+PWvf41TTjkFH3zwAa699loAwN13340pU6bg7rvv7ueS9i69+nLr2muvxZtvvokFCxagrKwMP/rRjzBq1Kje3KUgCIIgCIIgCIIgCELPYgGwrD74X1ixzj33XNx777349NNPcdVVV2Ht2rV4+OGHccopp/TKaRio9Kpzy+fz4dBDD8Whhx6Kn/3sZ0gmk/jXv/7Vm7scVLRW+JEJ5f4KUmmnD4NzFvh0OmsC520IBkpJTPdVk1gg4PR2+IMVJE0qTsdYB8MjSCwQKCMxM+l0vfiidDvNx4w1N6lvjPNrGateIjF96omO5VQxdfSU//MVEms5+Aia13N3kli41Ol1ykw+nKQpohoutG2m+wyEqPQvE6Xjot2MeY9O2do60najJVP0/A02TDMJU3GMuP1aAFAcc7rTOE9dwE9dHoZBe5X6dHqd7Kh7g8TKi/d2bsc4oCIufx7Au0ZKSqaRGHjVi4Oi2B4kVtewlMQ4zxSHabkcRmHaVnA+EdVb1EEwSI+9udXpAAwHq0iaVJpe0wGmHdvR8iGJjY9SN17MFWtlPGjq95tirp3BSCK1E6bmd/iZgj6nN1H1Sjl8VYq3SY0DgD9gu29U11ooYF9jZtrpI1KvP1M5v7Gw/cPXrlanI0e976keqIziX4mGnD+cqeUOOPaZVuLOdkD1SvmZug9QB5FPKU/asAVtajlVNxgAWMoTq1o21a8Rd/kqddjfj1puS3FmpQ3nfkzH9227xnTFfRP0O+uTV/uglsfdpvo1e5vWxKYhUW9MKwnTdP5l4eVo4jyJAH//AODpzwKAhId/ygsvfxf3vAd4+8E4vyQAgLmXAUDKw+kVU5yFbrw8YCUle7Nx0+V/7cDwiDcxLk0AKPXwH7mfde14GRv/v1Kx0URiExv3+6ijE6A+Ja0TDqbBwM59RyEU4sXX6Rf4700lpvPetA68nGcd+D18bI489Nx5eDngVIqLp+QuB/N3jUrLjjfz7iNcRD26KulN7+YuQ8n4vPswWzbkXt/s7dDrIDB8v9wJ8nijfBH6N48bvZ75AwqAn/G5ftWZP38+5s+fz65bsGABFixYkHP7888/H+eff37PF6wPKejl1oYNuSuBF2PHtstlQ6EQjjrqqC7lIQiCIAiCIAiCIAiC0B9YlumYHKc39yMUTkEvt8aPHw9N0/IndGEYRv5EgiAIgiAIgiAIgiAIglAgBb3cuv322x0vt1566SV8+umn+I//+A+Sdvny5Vi0aBGuvvrq7pdSEARBEARBEARBEARBEBgKerl15ZVXOpb/+Mc/4txzz8UVV1zBpv8qTDfZHVrLgLSiM8iYrSRNWbHTv9PcspqkUV0pueD8NdEA9dIkE26fFu0WyXWVDJTS8eHc2HZ/+SR3IpIms4s6vZKzv0ViRZ8up/scS31X9Xs4x3THttFzndz7YBILNVIPReok+jLXt8zleti8hqQZvpb6IDIHX0RirSOoD6rsE5rf2hNrHMvJvajXaM8n7OslMQTGpmtawOGq0JnrK+M6TsNkvFxFk5ntmkjM56e+jNHV3yCx2l2vO5ZLivckaZpbVpEYR7yNDv/2+Z0eiWRyJ0nDuT04v0rY5SQDgFSKtg2hkNOBlUrStjzA+PhCIeqa4Jw0lsuhx+XFtVktbetIbPfqb5JYgrRj1IETCY8macIh2y2WtFJAw3skzWAj6C9FUAsgozihgi7vXHNiY/ZzcXhc9rPqd3J/j6oTMqR4aurj9rWuux4zisNjs59bkvY+raTtNyoNO6/RttT27Oew375O4opXK5nmfT4A790DnM4uwFlfVLdWSHHzZFxuvta07WeJ+ZVrx2jIfi4KOT1EHiYmhyszbTr9NOpxeznIfC7/UlPGrgMRVGY/J9K2vyTs8g6p14jqEAv5y9hyAk7PjWHE211qg3w0ha4FiWMrzdwjcmF6XHcB5VyS/Rbo73L73Oz01MWaK38/c68DgIyH3yrGOB4BIB7fyMYB3pcIAE1NH7PxEONhBIAYc38FgFjZdDaeYu6pAJBK8X+fBBlvZAeWxTvL3M8d2X0w900AKHadb8vDhTbYSEcAzauBQ/6RP6onkMNinudUuOc9N273ppvOOLe450WVjV/clXN9STHvgXOQw80HAHqAr7P25vn/NgyPOCh3giDv9FMxi+nfHirpUvo3jUpoXd5dwNy5ko97tE+9jmXmdYn12H6EgunWbIkrVqxAdTWVDHdwxhln4PHHH+/OLgRBEARBEARBEARBEATBk2693Bo1ahReeonOTNfBF198gXQ691t4QRAEQRAEQRAEQRCEAU1Hz62++C8UTLdebl1xxRVYsmQJTjvtNLz88stYt24dtmzZgvfffx9XXXUV7r//fnzjG3QIjyAIgiAIgiAIgiAIgiD0BAU5t9z84Ac/gGVZuOGGG/Dss8861lmWhdNOOw2//e1vu1XA3ub+++/HwoULsWHDBkyYMAHXXXcdzjnnHM/0CxYswI033siu+/DDDzF9+vRO73vMv5sQDtjLm3xlJI3bmePz0cHsqhukA8uySCzJeHU4/C4Xi9uNAwA6U45MM/UaZFINJGZse9uxHCwaT9KYaTqePfiPh0ksxYxJ9+39dRIr3uTMb8fUMpJm9MufkFjzXtTNFNtAfUct++zjWC768N8kDYaNJ6FERZTENJN+d1aQnu8RnznHmreMpGPjPz3b9mKk4k3Am7RYhdKfdSaVroOm2ZWmvHQGSdPS+oVjWWPqR0DxA2VhfiHhXD1pxVfTQVF0vGOZ81/FImNJLBzZjcR21r5OYiUBp1+N851wDoiK8pkkpjF1xjSoW87tzursdinGgcD5XBIpZz3ivpPS0v1IrKXlcxLTGR9NMEAdXm6HWl099WlFwvZxGx5+la7Qn/UGsABY0JTfsxKu6zjq4ZlRv3f3d6YST+7Ifo4FRmY/ux0qqscoFrSdZwHlu4kntzu2SZm2z6ZE8USq90cTzlmZdaWd8Pli2c+qLzJtOH1F4aDtZlTvq63JLWwcAMojdt1UHWSRgO0LUt1iAJBQfFzFgVHZz6oDrCQ83rFNPGWf35Rh78e07OOOak5NxLCw6nWx7yvptO3ScnuhDOWcBpTzlso0wouE4i4KBSrgs9IAr5sqiP6sM5rmI85Q9r6RA8PDB5NU6oobzgMIePu7kineNae6AztTJq/8VZ+aY7+JbWy8K7+ZV1QdycZbm6hTFQAS8U18+lrqJgV4xyYA+P0lbJx7vrXh1/k8zlPU9WzQgfs+lhwi95pws4VQij7DdhafntvxxP29oxINj8q5HuB9nCpe14uKl6+tg8oK6v5ViVbRZzM36eZ1OddbzPOXY/t63lOlEqiYknN9ahR9RnXjW/bPnOtDI/bOnUGIrzsqmXFH8PF0E0AfCYWvON16uQUAF198MebOnYsXXngBa9euhWEYGDFiBA477DDU1NTkz6AfefTRRzF//nycdtppuOSSS7BkyRLMnTsXlZWVOP7443Nuu3DhQsRiMUdszJgxHqkFYWggdUYQCkfqjSAUhtQZQSgcqTeC0BeY6JtZU2RYYlfo9sstACguLsa3vkVnsisUy7Jwxx134JVXXsG4cePw/e9/H/vuuy8AIJVKYevWrRg+fDgikfyzN3SGW265BYcffjgWL14MALjsssswY8YM3HzzzXlvAvPmzcOwYcNyphGEoYbUGUEoHKk3glAYUmcEoXCk3giC8FWnoJdbp556asE70DQNTz/9dKfSLly4EE1NTTjxxBOxfPlynHzyybjyyiuxYcMG3HPPPUilUvD7/Tj22GNx4403Yv/99y+4PB1s3rwZK1aswG9+85tsTNd1zJkzBzfeeCOamppQUsJ3WRaEryJSZwShcKTeCEJhSJ0RhMKReiMIfYNlmQ7FQW/uRyicgl5uLVu2DJqmFbSDQtKn02ncdNNN2eU77rgDp556KtLpNN566y1omoY1a9Zg8eLFOPbYY/HLX/4SF110UUHl6WDlyvaxyO6hkzU1NTBNE6tWrcIBBxzguf2OHTtgGAYqKyvh93etA9zaQ0oQjCg3mr82kDSlZBw/PZ+cK0Ez6fj9WJRx/jDj03U96FjmKhfnbXD7KQAgGKP7NDPObZPNX5I0oeIJJAYmfz1cTtM1UCeSL+nc58iWKpKG82sVf/wpiVltjONit1nO5aJKksTcsozEjCn0/ER3tpIYdPq9Wz6n26LqtQ9JmspPbH9QIt1M1hfCQKgzbjTXtQoAfp+zWz3nSeGcHYEgdTRlGPdbUysd4F9c5DwnTc0rSBqTcWrEE1tJLMZ4uNIun5aPyYvzh5gmdTK0tW0kMb+P9oZNJp1OlXS6gdmOuhJSjAMmk8l/7SUZh8XO+rdJrLKU/qiRYhw2GaOFxDTXMXBtmxrriQeLgVBvWlPbkNZ8CPsVp5RLi2IqbsWMYX+HadNuO4M+5zWm+rT8mn0NJTL2d+n2PxrKNWko2wcydr31Kb6s9rztep5WriXVXRV2OSt9StvQmrIdK9GA3Sbqrv20Ju36qDrI/IoHRj0fgNOFpfqGmhJ2GxPSneetSHGSGWYy+1n1Z/lcHrlYyG4XUmnbn6l6unykPbTPfSJtf6eq98yynK4ytS1Q/TZtynH6XV6ciHKuvNxNhTAQ6oxlGaxvlMPdPncQZO4pgPP8dxafh2uopGQaG/dyYgVDvFuPa0MB/r4F8PdLgL9PZPNinksBING6jo1HGE8lAGQ89lE14kQ+PeN+BXhnJACkPH1i3ueD80oC3n41txPSUtqBrjIQ6s2WyRYCEd65pXXCxxZ0OX/dGHnOk+o99ILzh6oEGF+nm8Ym+reBSlHx1Jzrk/W5tweAQDS374r7m0vF7MTzi9FEnwcdebzzft48AjUn507QlNtP1rbltbz7iDTxjjLDYP5eEr7yFNR6rVu3rpeK0U44HEYikUA43P5QFwqFcMABB0DXdey3X7tYePr06TjjjDOwfft2nH/++Zg+fXqXenDt3NkuxnX/ilFR0d6o7djhLfwEgGnTpmXLeM455+Cuu+5CUZHXzS2JZNJukJua+AchQRjISJ0RhMKReiMIhSF1RhAKR+qNIAhCDzm3li1bhhdeeAHr16+HZVkYP348TjjhBOzjmkEuH+eddx4WLlyI6667LhsrLi5Gayt9M1tdXY3HH38cN910U5debnU0yj6fzxEPBAKO9W4OPfRQ3HXXXRgxYgTi8TiWLFmChx56CHV1dXjqqafYbW699VbPmUgEYbAgdUYQCkfqjSAUhtQZQSgcqTeC0EdYJjvDeq/sRyiYbr3cMgwD3//+97Fo0SJYlgVdb+/qaZomrrnmGpx33nn4f//v/2Xj+Rg2bBjmzJmDn//857j00ktRWVmJq6++2jN9LBZDMFh4926g/ZeJjmNQSafbh0l09B5zc9xxx+G4447LLp933nkIBoNYtGgRtmzZglGj6DC/a665Bpdffnl2uampCWPGjEFRHRBSdpPQY2Rby9XFnw47AHSdllXXfCTGDc9y5w8A8bizS3bZsK/R7Zju+okWOrwwVnUwiWUSzl+PwmW0+268ng7hCxXRoYpWir741CzaJTo+dV/nPj+hXW2LG5hp7n0BEmo5dDaJGUHnNb7zoEkkTTpEZw9tGEFCqA7SX8oqt2wmsfqxzllsAs27kzTNY0qzn5PJKPAy3V9nGQh1xjTTMJURmvH4BrKte+iD1cnZRlpb6TTioSAdvsoN4XNPAx6L0e+Cq2utrWtJjJuGnLSgzA2vuYVO+2wY9GG2vGwGiXFtQ1OTsw6aZpqkCTBDIX3M+YkzQzNKi/Z0LPsDNK8IM0SzrW0diXFwU7O78+POdSplD/nqiSFWA6HeFIfHIaQFHEM63EPy1KEaibSdrig0OvuZDAkx7OvQUOqZTwtlPwf9pY5NEhl72HhpZI/s56Qy1K4tvd25G9jXnqHU71hwJLyIp3cq6exjyDUkxa8Mk2xJ2m1ukTIk0H0O0sqwQPVc+fSQ8tl531aHSQaU+776OeMabrE98XH287CAPYQ+Y9n7D8E5TD+VsYfoxEL29RLPMY29OhRRUz6H/fZQHffQrLaU/cxQFB7rGG7aFQZCnTGtFLlzhELMDRtAKMzH0ymqSAAAn5+2TR3E2+g9DQCCQV70zSkiAO9hg15D+rzwysfI0GHfAH9P6CBWuhcbtzyGB7a1rGbjXuebewYFAHjUea+2INf3Ew7yQyWTiS1s3Gtopfv+mvQY7lgIA6HejFitIxTiz+vmHpj5LZVHcaBrfH1QqSzjh7h1ULvr9bx5DK86Juf6fPXMzDOkEAB8mdzDI02POthBqPrAvPswK+l3q6J9tjhvHtj+Rc7V6Ta+bnRgeQxXFoSu0rm3Th7ccssteOihh3DllVdizZo1SKVSSCaTWL16NX7yk5/g97//PW6++eaC8pw6dSquvvpqPPLII7jtttvw3HPPoa6Of0BYvnw5qquru1T2qqr2P1rdXWk79lXIjCGzZ88GAKxfv55dHwqFUFJS4vgvCIMNqTOCUDhSbwShMKTOCELhSL0RhD7CMvruv1Aw3eq59dBDD+Hcc8/Fbbfd5ohPmDABv/rVr7B161b87ne/w/XXX19QvsFgED/+8Y8BAB999BH++Mc/Yvv27bAsC8OHD8eIESPw5ZdfIh6PF5x3B5Mnt//yuWzZMscvFqtXr4au65g0ifa88aKxsf3X0eLi3CJEQRjMSJ0RhMKReiMIhSF1RhAKR+qNIAhCN3tubd26FdOnT/dcP2PGDGzb5j3rSGeYPn06Lr30Uvz85z/HTTfdhDPOOAO6rqOxsRFtbW245ZZb8OKLL6KlJXf3TDejR4/GlClT8Mwzz2Rjpmli8eLFmDlzJsrKylBbW4vPP/8ctbV2F/4333zTkU8mk8Fjjz2GsWPHYurU3LNjCMJgRuqMIBSO1BtBKAypM4JQOFJvBEEQutlza8KECXj11VdxxRVXsOv/+c9/Yvz48d3ZBWHUqFE444wzcMYZZwBoFyQuXboUDzzwAEaNGoWzzjqr03lde+21mDt3Lk4//XTMmjULL774Ij744AM8++yzAIC7774bN954I2644QYsWLAAAHDEEUdg5syZOOmkkxCJRPDEE0/gvffew1//+tdOu8U6CLVZCBm2H6qJmbq+rGq2Y7lu+4skTYLx2QSY6XRbWui4aM4N5HYExJs+J2l0xmdTNOooEjOTdAYV9zTL3LTLxeO+TmKJrf8isXD18SRmBaiXzHj5TseyttuxJM2OWfuSWNlaWv5gM/UYhTZtcixbQeo20FqZvA7dm8QCceolqJ9BfV3VnziH67bsVkrSlK20z20indtV0Bn6u874fGH4lGnUMxnqXCuK7eFYbmFcWhmmrnF1pi1Op0nmpqJ2u7/c03wDgM748sJhOqxadT51EAo53V+NLctpXsFKEouGR5NYivHtcP4Un8vlx51rzlnlM2nbUF5CJxdxn9tkC21nomHqg4iEqYeLO6aG5s9IzO1jCzI+Gce5NpNAD8w03d/1JpNpg675Ha4kv6sNTyntQ0w570nlenTXEVNxL4YD9pAX9dpJuxwpLabt04oaw+10hp2uOOS8B1lK13zV2eUzbW+Y6vkCgEjA/h6TaXubgM8+hozp/HLVPDLYlf2sunlUlxYABDQ7P9Vxl2vKer9me+nUfYaUOuye0r7cP57NK+y3z7vqCQOA4rB9HlWnmU/xrRmm03cUT9t1Keiz/Y/q9WIZThed6gqLp3Yg1QOuuv6uMwF/OQKu79pL7pv28Ot4+aoSHn4mACitoJ5SAEh6uLgyKX6WukiMOkoBwGAcrQBtGzvgXIgAoHXht3HL4PehMfcRAAgzzkXA6YJzxJl7LODtPiuqOICNG0k+PQDEPTxg3L0QANJpPq/iEqd/LGAmgO4/ovV7vUmHAI9LrFPkc2oFmec0lYCfPge74Z7/VKqrT8ibh9e11oE/h9sRAFLM321kH77c+wiOyeP92vJB3n2ggT4fq/jDw3OuB4D0lNwOM//yt3KuD+73jbz70Dat4+MZjY33NpZlwuoD2Xtf7GMo0q2XWz/60Y9w6aWX4pxzzsH8+fOx++67w7IsfPnll7jnnnuwZMkS3Hnnnfkz6gahUAiHHXYYDjvssIK3Pffcc9HS0oKFCxfi+eefx4QJE/Dwww/jlFNO8dzmpptuwjPPPIO77roLra2t2HvvvfHkk0/i9NNP785hCMKgQOqMIBSO1BtBKAypM4JQOFJvBEH4qqNZFjO1XAHcdNNNuOWWW7KzcQCAZVkIBAK46qqr8POf/7zbhRxqNDU1obS0FJf9uB6hkP2r2M5f7k/S1ky6yrHcnZ5bBjMjDddzyz0rj8lsx/Xcio2ksypyPbdaa98hMTed7rm1e+d6brV+9qhjuYjruXUUnVmE67ll+elMlF3tuVXL9NwKtlGBoBGkv04Ub3D+ss/13CpZbfeSSKSbseDlKWhsbBx08s+OOvPD4m8jpPTc4mbw68meW1xvJa5HRsj1C31ne25x5UgzPexIz63mzvXcCgbKSYybAdDdSwugs3AlU7tImqIiZlZQphcDN4MW6bmVpj3WuJ5bYWbGMrbnVssKEiuJOcvL9dxSfylLmkncWX/voKwzgF1vvhs4GsF8PbcyhffcUntl6brSiypHz63alP29DA/b7V8ibV9fai8wIEfPLc2755Y6a2dXem41Z+zeNeVh+7pxH4+u8b+uZ5RZFN29vdSZEP26Xc5cPbfUsjqOVekhoM4QCTh7bqnlVnvduGeTTSltklfPLe5ZogMTBlJWBg9l3hyU9aajzlw57HKEXN+b7tFjyN37rQNuFlogd8+t4tLpbNyr5xbX9gE5em6l+Z5ehfbcynjkk4uQV08sjx4qRqqBT+/xPXjNjNyfPbe4WZIBwO+6NhJmAr/Y8rNBWWcAu97Mv6YBoTBf/h03TMybT3lwj5zruRnjVTrTcysYpM9FKrEiOlLCTb6eW9zfTSqd6bkVK5+ec71vFJ35WsXoTM+tPHSmh6axb+4eZPl6bhl7HpJ3HwGPnluJTAuuX/q1Pqs3Hdf59RPuR5iZGbynSRhx/PzL7w/adqG/6FbPLQD42c9+hosvvhgvv/xydlaNsWPH4phjjsnO3CEIgiAIgiAIgiAIgiAIvUG3X24BQDqdxoQJEzBqlP1r74oVK7BiRfsvtF/7Gu3RIwDNwzQkw3aPnAxojxAz4+w94Wd6QPiZ3iUcgQD9RYN7K59x+Xd8TC8ty6K/8tV++QcSKxtOPVyhqNOn4gvR3hPJ7e+TWHgE83Y/QXu+xHenAsxw0Q8cy9a6T0ma4S/THmVWCR1vbm6j2zYfcaJj2ZeivyAGmun5L1+1k8TAdKb8/GRajmq/89enT2fTXwhnNtvnNpHqkerer1iWAQv2cfqZX06aXK4lbsx6eRntJcn9Eh23NpNYcfEUEmtpWelY9kWKSBp3TyiA/7Vc12jPQLfrpbRoT5IknencL+lcfeZ6bsUTWx3LXM82rmdChikH13vO3RuN6wUWZ3orNDbT+hdzeQIBoKqCDlV3/4re3LKKpClRzq2uDY1pmHXdB13zO1xJqlsJAEK+suznRJJpl0B7qKguKrV31c62ZdnPpYExjm1iutI7SelNpHqb1J5NABBUfo1XezoFfPY2qv/LTVjpjaz2tNJNZ5voV/ODfTzxlP0re8p03nNUf5Zp2T1JNU1T4s56nlHOo3oO1eN217cA7GX1Ok4ovdIifmfvTbVnq3rcQeVZoDHurJux4MjsZ7UnWDho11dd6TEHOHvMmGbacR4GKz5fiPEO8q4erlcu4N0bKhfJ+CY27tVTxKuHllfvJu4+lDMfjx5JkQq+10imlS8/ADQ1LGXjXp6xQPlebDzdvI6Ne/WGCUfp/QEA4o20BzQABHJ4hry+62CI36a+ju+1EnKlT+Vw9A0mGodbCEb4AUEW8t9PuWcblZa2L3Oub014X38dBAK5vV3Njctyrge8ezR2EM3T+6tkBP3byI2Vp/eXuTV/OfPB/f3lTJC7hxoA6HW0171KvuFhge1b86QAzCbqvwUA06M9E77adOuv3Q0bNuA73/kOmWmjA8uyoGkaDGNo/IEgCIIgCIIgCIIgCMJXDwt9JJT3GGot5KZbL7cuuugiLF26FNdeey0mTpyIWCyWfyNBEARBEARBEARBEARB6CG69XLrnXfewTXXXIPrrruup8ojCIIgCIIgCIIgCIIwsLBMogvptf0IBdOtl1tjx45FJuPtuRByYwTa/2eXGU+F6uMA+JlxuFnGuApRxDgVuFl+NJeXxsc4F3yM+6t8xD4kFm+gY8IjZc50Zoo6ekJjqKfNaqBj6eP1NH/f7tTd0zrK6bsq3RQiaWpnHURilR/Q8f1tXzuJxBKlzqpUtI2eV38TnQUvMZJOuhBe9h6JFdVVkxg050j2r/2WenKSVbaXSzO7NTHqgMCnh+BT3DGJFD3mWNQ5A6jfT/1XKWb2JJOpC1y3Y27GrEh4tGPZXW8BoLGJuqLKSmmd4Vwp7pl3uFkWuTqfYtqGsjI6K2h9/bskFgo5/T1p1+xtABCPUycWN3sc5+tyfy+1jJskEqLXvXvmOYDOPAXw7i+3s7Cy4lCSplmZiTI5BNxBQLuXydT8CCmevoivypXGvreo32Frxp5xtdznbFvTBm3TAKDIb/tkwi63WsCwr4Xa+HJ2G/eMnkbK9tGo98m0Y9ZB14yEGXsb1dMX9tv+rWSmwbFNRJmlUfVaqbM3ppLOuhfy2deUOkOjY0ZEn7NXu2HYMymqx6M6yHyat29F3Ub1jqVdrrKU4oiKBu261Ja0Z+uLKOejHfs+oc7K2BRfm/2szqIIOGeQDQXKOzXD1kAnk2mFT3deh5zzFODvHYC3A6qohHdJAYDh4fUKFfFOrEySny0xVE3beQDw76KzyALes/15zViYbuVnb/RyUgHAsJrvsXErHWfjyPDn1WumxkgJ72tKx7excS8vWVvz53x5AOiMnxIAGj18YtzMyQB9BkkxHtvBSLhVQ9Cgs3sDQAqMT9RFiJkhWYWbKVolaTTk3YfX955dr+dvvxKJ3J4or7aiA7dPmSNcOT3neiPB1/1CMGtm5U7wBZ2lnrApdzn03fbLub7ugzvz7qJ8xn+wcS3TDKxkVwlfYbr1BHLNNdfg3nvvxY4d+ac0FQRBEARBEARBEARBEISepqCeW6eeeiqJNTY2YtasWZg0ifaWAdpnDHr66ae7VjpBEARBEARBEARBEIT+RoYlDmgKerm1bNkyx/TWADBixAgkEgl88skn7Dbu9IIgCIIgCIIgCIIgCILQUxT0cmvdunW9VIyvJhUbTYRC9lvZhBYgaUzTOQ4/HBpB0rTEN5JYiHHQGAYd4x2J7EZibp+Bxjh0OK9CqmUdiRXtfhotx65Vrgh9M22F6cybnF8rsucZJIZd1DMU2rbdsbzzKOrXqnqDvqA1y9w+EkB/diGJBeb8l3O5mTok1h81lsTKthgklj7kMBILMkqKik+3OJb1+u0kja/YPo++9BBwOmh6+///w++LkiRuF0JJyTSSxrKoKzASod+PZdJ0rO+KcWy5qR5+HIlxfhWNq1uudiCdpq4jn4+6qEKMs4rzZIXDI5n8nOfW76PuMnf71F62BprOote52zkSCpSTNKrDqINYbA8S474nzqvhbrdqd71J84/a14ExVDwogQoEtQAyyj0gYzobFdWTlDLse0BQt793y/U9qm4s1eelOqbakk7fjepxqgjzPb5bU862LRa0nXYBxdUWT9ptnttrpX7TPuV7b1V8U4aVhEoqY3vlipT2IJG03X4xv7NOqddoMk1dfoDTSQUAIcXD49eUNtrD59Oeh+0fUq9sw7DzdvvoQr6y7Of/z96bx9lRlfn/n6q6desuvSedzp4QkkASlrBFDWgAAUURISjOQAAFBkZUnAEcYIgDCIg6DP5AvoK4gALiIBohDhJQWURAQMCASQgJ2fdO7333qvr90XbXqXqeurdv7908737163XrqVN1Ti3nVN2657zLcTxPV0QPf7O1rtyHxKOKn0zx90Ujfoel6i6LGEnWHzraiFXMQkz3tz8drfQeBACqao9m41aIV6fYK+TD3FdB72I3kTi9JwQAu2UTGzcnUM/jPzLgy5PlvXrpvS+z8ej8z/HrB+A2bmHjuRbecRXmE0uMX8RnYPC+Lz3K+49adj7Jxot5n7JZ3t8V5lhKpfhtjsUC7Yg7+j11AJBsBix6KwIAaAV/jqkkGqgHU8Vk/KC+5UvmAESj9L5eJZXaXHIddfUnFJ1vmMWdW7kQZ51K5156f6JSMfszRedntxdfHgAimXC3IwBotfR+K4hbRe/dfOvYv6Po/JpJ9N44iF1Bva0AYA/TpcaFA5f57joY+QjlMyitaWdnJ9LpEEGkIAiCIAiCIAiCIAiCIAwQ/Xq49eCDD2Lx4sV44403AACO4+D8889HVVUVqqurcc455yCVKv1GCEEQBEEQBEEQBEEQBEHoC/16uHXPPffANE0ccUTXaz4feeQRPPjggzj11FPxta99DStXrsSNN944IAUVBEEQBEEQBEEQBEEYFrqF8kPxL5RNWc6tIGvXrsU111zTM71y5UrU1tZixYoVME0TuVwOP/vZz/Dtb3+73wUdi1Ts6kDMLP58MbLA/4ZK58Vv0vXEp5FYjvHeqG6Obrix5VXVR/qmOT9RNrOTxCKM56tz829JLDH/n33TzqbnSBqtma4/PuGDNF2Bli21gb6d0/zAhb7p+mdeJWncGuquyNfScfP5s/6DxGpWb/RNbz15Lkkz/aFVJJZuep3Eoou/SNPV1JAYtr/tn/zsx0gSTVEcZLOj/+UOjp2Bo3mNfSRCx+EHXVHZDHVkBNMAQEvLX0ksGh1HYpxTqj3l95tUVxxE0mSze0ksl6N+OIfxPNVUHe6bLphtJA23TR2dG0msgnFWcT4+PeCsMhlPRSazncQqq6nTpbHxWRKrqV7omw66/gCwLrP29rUkFmV9XXR/aIH1ce4bKzrBm3BomzkacRwbjqb5vFRBJ5mtOLjiEe+8z9hNShq/nyMR9drMTIhvKq7uT/jdTSqqL6rC8l/TcgX13HB7PqneMMv011XVn1WwO5VlvG0wdf85klCclp3KNS7veMtbhv+akMl7XiBTcVmZStvkBK6hqv9KdeWlc14bkSn496daVnWfduQ9n0ll1L/fCgWv3Oo2RBSXVPA8SOW89lI9vqpnK6/sT8C/3wp2Cs4YcG7ZuVbYur/+c45BAChk+XM/1LsTsh4A0Jh2Cwh3ZbnpFr5Mbe/xZSqEtGkRXpSkGdQFCwDaR7/Mr+fNF/k4gPZjl7DxiueZth9AtGo2n3esmo3brbzfiruH7SvBa0g37PULQJzxWQJAZ8CVmxsDdQYA0lWAHaIOLKC0w/L1f6fOWZVxF9PvQCoxq75kHh0d7xSdr2lGyXU4IT69biLRuqLz8zm+zVBJ1h1ZdH7nxseLzk/Uh7jpFLQW3iGnFKL0Opp2FU8QCXdJdq2gdD8bfT3frujMvasg9OvhlqZpsG3v2/Nzzz2HY489FqbZdTGcOnUqmppKV2BBEARBEARBEARBEISRius6RV8MMpD5COXTr4dbixcvxr333otjjjkGL730Enbt2oVPfvKTPfNXr16NKVOmFFmDIAiCIAiCIAiCIAiCIPSdfj3cuu2223DiiSfilFNOgeu6WLhwIc4//3wAwO7du/HLX/4S55133oAUVBAEQRAEQRAEQRAEQRCC9Ovh1ty5c7FmzRq88MIL0HUdJ510EiKRrlVu2rQJN910E84888wBKehYpGVmFSzLczLk3E6SpuOVO33T1Q0nkjQ7Nv2YxOIW9Udlc/tJjHP+aLr/tHBt6ivQdTqGWtejJGZY1NPT+fcHfNPR2GRa1n1vkJhjZ0gsVnsGiSVmfZLE7JzfZ5A9cB5Js38O9TdNenkricGhfh+7qsY3XbuVugWyR36ExOJ7DyExraWFxKwOWjZ35kJ/GZjaPOnvnncmE+KEGE0U7AwMRSSWtCaQNEEnVrLyYJKms30diak+Im9drSSm69RBMq7mGP9yjE8hyjirCoV2EjMNeqyDWEz9zqSp/6oicQCJtXesp+mSs0isLeClqK3mHFb0pMukaJ2prTmaxAoF//nIeb/yzP7hPGtBpxEAuHYHiRl2hW/aYpxqLhz282jGdQv/MFWFX/JtxfkSUd1Rure/g3VEdUQ58Oqlpdf0fA46tlR3k+qr6sx5jivLqFEXga55da6gnCcx06tTHVm/wyaquLFU/5WhXLs6cjt8y3RkvemowfuSXMX51VUG9RzyvIZq3dif9vsRa6JevSzYnjcsZ3vne3XMXydbM55DSVf8ZjUxz0sU9J5Fle1W/WR5x9uHhuZ3Lanb15nzXCqJaEPPZzNwHnQq7r1kbKrvXBqtuE4OTuCdS5FIBZs2Pv0kNu60UXdo14xw95A+fg5fnji9PgEAQpxb2mGfYuN2nj82ndNoWwgAVW+8zcatRnptBABMoE7HbiIZ3n2lj+OXSb/3Oz7vGnpNBwCjivpnAWDvO3ez8XhsKhvP5xrZeDEiIX61QoFehwDADJxLjpsHxoDiMRcHEOfnqdeIMN75CP0epPKhEtdkzpMaJMd8F1Kpq6ffs4JkmfsclfQ+3nnXTUXNwpJ5dDa/WXR+9azPFp3vdOwpmYebLu5B03vhw8o1vlV8HSbfbnZjWL3wek3g20W90AEUV6gNEs4//ociH6Fc+vW2RACoqqrCwoULkc/n8Ytf/AI7d3ZdzA8++GCceuqpmDiRfgkTBEEQBEEQBEEQBEEQhIGgXw+3stkszj//fEyfPh2f/vSnccEFF+DNN98EALS2tuLwww/HXXfdNRDlFARBEARBEARBEARBGB5cZ+j+hbLp18Otq6++Go888ghuv/12PPnkk3Bdrzv7zJkz8elPfxoPP/xwvwspCIIgCIIgCIIgCIIgCBz9cm794he/wCWXXILLL78cO3bsIPMXLVqExx9/vD9ZjGlS1UBBUVcZoM6qyvrFvmknz43fd0lE9Xh0k0xS/06B8TC1NL3smx438eM0x0463twafySJ5Zqor6Fist9PsXfDj0ia6tpFJOY41Lnl7qH+IEw8iIT0Dr+7J5qmfp+JbcxY/32baGzDKhIyph7nm06s/xNN07CAxHITJ5HYOx+l7oYDXqWejLYD/Q6nya9Tf1rbDM9vk83S82S0UZE8EJbuOWK4cyLotkp1biBpDIP6o3pLjHHE5QKum3SWug5icer3sKL1vUrX2vo33zRXlxOJmSSWyVDnS3UV9by5jLPKMv1uOZurf8xynanNJFbF+PhyWb/XxIrRIexcrLNzI4llsvtIrLaGtkfptL/dMgyLpFF9aXm3uI9itGCaNYhqJjqzihvJ8p/HuuKIyivup3jU89qlAy4a9RyxFSeibXvyGNvxX4tsxzsXNMVRpbq9gqieLnUbVAeY6oQCAF3z8kllFZ+X6fk9EhFa/7zllf3hKtePQDMajXjtdaHgXUNyilOu2vS7gAylDcsVWno+xyNe26X6yLrm8S4Z1Xumrjc4HebyC9YBdRug+FZUb5kvDYBkbLoyNTZ+aTZjDYjqfnmQlZjOpi3s471URgXvdNKYdr9nXXX8PD1D218AcKfS+x0AiOymDkYA2PuRQ9n41kP4+4OFf3yXjWvj6b0LAOjt1DfZTezVtWzcbeAdWvpxF/PpO+j9GwAU3n2ejXOOSgDoYK4lAJDL03upbji/IwAYzDUO8NcbleA1Kxey3tFG9R7AopdVAEAbqK80yOG/K+5nCvr+goQ5zlQyJZxbqbY1JdcRZzylKhWB725B9m75eck8Kir4etFNoZmvm+VQSO8tOt8yS98rl3Jm6VHeR9cN/73Wjxbny+HkS3vchPcf/Xq41draipkzZ4bOb2trg2EY/clCEARBEARBEARBEARhWHFdF+4QDBlUR8QJvadfwxLnzZuHP/2J9lABgEKhgBUrVuCwww7rTxaCIAiCIAiCIAiCIAiCEEq/Hm5dc801eOyxx3DFFVdg/fqu4WH79u3DM888g1NPPRVvv/02vvrVrw5IQQVBEARBEARBEARBEIYHZwj/hXLp17DEs88+G83Nzfja176GO+64AwBw4YUXAgBM08Q3v/lNnH322f0v5Rilcp8Ly/K6HKY1Oqa4ba/fIVAz/yKSZkKGjplOdVDPUD7fQmJRk46VTlb7nTyZdrquiEnHUNsd1PFgJhnnhOUfU19/5H+SJJ3r6Hj0oKsLANyqCSSm5aknx23e5g/o9NTPNa0mMfOIfyaxiDOPxJxNb/imC0ecQtLo77xJYlGmrFPWUidScht1OO0/1L9vzUbGO5TyfDeZfDuZP9oo2O0wHM/nozHP513dH4tE6LmazdI6E43SuqDrMRLr6HiHxDTNfz4l4lNImlzAVwQABrP+HFO2ykq/V4XrDs35r/IFesw5H1hVBfW2pIPl0Oi+jjDusooEdVE4Dj3Pg46wlra/kTScr0TXqLcjwXjQOjupL49zbAVRnW2ucq6NZly3ABcaElHPPZMLnBuO63n9VD+Teq7FAz67vOJeUo+V6rSL637fTTqzu+ez6tJSsQP7vS3jHctKy/NXqV4q1Q0G+L05qntKdWnB8Nc/x/HqUK7Q2vO5QnFKBeuZWlbD8BxNru3tt2D7oNYb1/WcIWo9CW6P2haprkHVuRWsL+oytuu5kHSough/nVDXkbe942srHs/g9ui6qczTYbijX0cRnXYcohH/vUp++1/YtMas49h4ehLvz8rU8H4mAKjYxftn9h7KO9dqtvMurvSc8Wy8o05j4zNp8wsA2HTJZ9n4rGd5V096brgnKLabL5PW0cLGU7/n37YePP9KxTNp3j9WsPl9rZ73QQzm+lNsmUye9zu5AXnfWHFuTXh9G2IhnrGNKO2wnP8b/lj1rCPgNw2SiE8rOh8A6mro/YIK53INwt1vqeTa6Pcmleqao0vmYURris8v4brKtTJO4gCxhmOKzndreF+dir6nxHGN0Ptc3/LM97EguXX/x8bzDvVLC0K/Hm4BwKWXXopzzjkHTz/9NDZs2ADHcTBjxgycdNJJqK8Pl2YKgiAIgiAIgiAIgiAIQn/p18OthoYG3HrrrbjwwguxdOnSgSqTIAiCIAiCIAiCIAjCiMF1nSESysuwxL7QL+dWfX09tm8v3oVUEARBEARBEARBEARBEAaLfvXc+vrXv46rr74aV155JZLJ5ECV6X1DPq5Btzz/QZu7m6QZn/HH0tOpw8p5l3oD8oU2EotZdOy0EXBKAEBn69v+9TNjy5P1H6R5tm8msVRgXQAQz7b4y2DVkDQVUz9GYty47cLWF0nMrD+UxLRa/zh8t536qaJVs+n6Y9SNEWmj+9vO+H1KRjZP0mgxxi/j9M6z0DGjgZYt6ndnNB4zh6SpfcfbTtft9yjkYcdxcnCUzU5ndpI08cB5XlFFHWacm6Oj410Sq0geSGJJJhZ0Z3V00nXFYpNILMf4I6wo9chlA+2AzTghVCdON6ZJz7nWNC1bNEvTxWP+/cg5ybhflThfRTZLvSO2nfKXlfF0cE6yArOdnNOrooLWh31Nf/ZNVzHHUnWj5dzSjpDRQFXlPFi6FeqkAQBTOb6pzvd6PqsOsniNvy41bv91z+dKpZ7ZBa+NDB5nKOdMssJrcwt575oVXCYJz3llKfV78jjPW9LZ+IpvGfXals169aeglM2y/HXNUtxteeU8iCrx9pbXfcvEk55jTnWNZVJbez6bVsBVlvPqfVQpg+pxsfP+a7iu+MEc26tjtZEPeImCXjxlX+ttngdLPdZBF6fqA7OU8qhlixj++wbffYTrAGPAVZfb/iJ0Pe6LGfM/wSdm3JnFqN4U7g1qPYD36Fid/C/464/jPYJNk/h7i2MfTLHxlhn0XhAAUtX8q+j1HH+M8xXhHqDYPupBBIDWnU+xcYu5ZwV4LyUAtLS9yca5awsAZEP8TapzMEh7bhsb10O+Tjngj0NdYr6/LG4eSP01NN/RwpbjpyEao55TAMDTpZdv/MvNReePqzmq6HzOpxpEY/zDKjV19PtNELUN5zCZ+yWVUs4uADBixdeRbVlTch2lyO3/e/EEjW+VXIc5++TiCRy76Gx3d+ntiM48kV91oR3YUnLxgcd1fNfXQc1HKJt+fdt98MEHsXfvXixatAgHHki/JACApml47LHH+pONIAiCIAiCIAiCIAiCILD06+HWW2+9hYaGBqRSKbz1Vumnu4IgCIIgCIIgCIIgCIIwkPTr4dbmzZsHqBiCIAiCIAiCIAiCIAgjExcOXAyBUH4I8hiLDIiEZ9euXdi2bRsyGepa0TQNH/7whwcimzFHWz0QVZQONui45M6MX9g/YXcjSaMdeAaJZdfcS2M5OhY9ptNTIOhliVnUAdS8/XG6rjj1gWnMOwtUdwgAODnqB2ve9SSJ1U05ncTMCYeTGDdGOb/9L77pjtPOIWkSe6iLwn3xZySmzf0kiXV88p9807V/YXoyRqk/KDv5ABLLVNJ9lqmk7q/9U/0ujAW/2UXSNC3wPE/ZrAXQ3TqqsO00bM1zFXAujYLd6ZtuCzhyAKCq5kgSizGeOq7OcH6noO8qataSNFxdUH1G3XAerlzO76ziPHi6xvjhGKeeoVFHC5cuCLfdmQw95+KxKSRWWXkQianuIwDQXVo/uH3WltpIYhWxaSTW2raaxAzdv+2RCHWDqNuUdak7bzSy7T+vQzRehW0He9sTb/c7+476rff5uYu9a9Fxv/T22Z56/zL7pp/W89n2lE446GXvuG082t8ev3e45+qZtMHs+ewol53dcwM+H6Wpm/Oy54SqbvTy2TPT72m0Or15M972Pm9d4JWnZo///Krf7G13Yo93fu451HPSrf3geb5lkq3ehuctb90VLV68td5/bc9b3gZV7vfSqduz4Qj/PlCPw+qPevV/0kZvH47f6r8muMrhirV7Zajc5LVrespfDwu73vDKmfZcZdGEd313AnW3kGvp+WzGJ8KwUwDV7I0qzJkfJteX9mnj2LTxve1sPFdpsvG/nxTu0mkbz/tpPvJD6voEgOwi3m+Uj/GurLc/nmDjU9bx5Rm/VeNn7NvKhnf//nN8egCVh97KxgshDiSXueYAQFMrvaYDQKbQzMarDd4JnLAms3HOS9lTJvD7NcytFZZ+b+ebvuk8c/8/GqlsdGFZ/DbTuwVKJrun6PypR19bdH7jq7eUzEPX6b2SSqpzQ+l1MPdbKmaMfm9SiSb4c09FM4vfl0Usev+o0tlC74GCJGsXFp1vTFtUch3urrVF52v11GfsW94u7SzMbeS/vGQd6mAVhH493Nq6dSvOO+88vPDCC+x813WhaRpse2w02oIgCIIgCIIgCIIgvA8RofyIpl8Pty666CK89tpruO666zB79mx5Y6IgCIIgCIIgCIIgCIIwpPTr4dbLL7+Ma6+9FsuXLx+o8giCIAiCIAiCIAiCIAhCr+nXw63p06ejUODHmQul0R1AV0Zscn6ZVGGfb7rz7QdIGuPkK0iscudCEutsW0Nijk09aUGBXZ7xIVTW0XHYHYzbqPaQL5JY01v/zzedrJhLl5v8CRJDwxwSym/+M4lFqmaSmDlunn/9f9tE0qQ3/h+JxcZTN5MTp86K5OP3+6ZTx59L0sR37iOx6H7qiIhOoePsa9fTZXXbP6a/dW4DSTPWMIw4DMV1wHmgsjm/ly5XaKVpGK9VRWIWiQX9cwAQiVDXQtT0O1Q6UvT84ojFqHchy2xTNOp3vXDbnUjM7FWetRULSMwuUN9cxPS7XIKOLAAwzWoSsx3apthZzsfob+/yeXqcwLSJFfEZJJZM0mOXYLpz5wLnRoHxrMXjnjNMd7IA3TWjliNXeefutvn+/bPyCs9dMfs1Twa5Q9Gl7Zzt90BV7/PqR+0ezx218Sjvwnbga4Fj6HruqNrd3jKaUpy6Xf56ZyjqM03RudRt9yYap/jdQKpna4NSnmnrvDxfXOo/uJWN3rxkq9fOp6q87U5X+Pebq7jGDljt7d8dc7xCRzP+sqnboDt8PJby77e3TuDvtXKKW2nNcX4FROMUrwwn/djzP2060Wt3Vh/vr5tT1nt+lITiZcsmvHxqd/nLppY70Qpks23A7Rex5R0tpKZPgh31t4G75/K3zOYM6lgEgGl/odcZAJg0Lty55Ri8ryhXw7uyzCzvxPrYf/BeqqbjeIdO9UbqlwSA3X/4MhvH7EvZMHd96ebdt3hfUoG5ZgBAdZx39bTld7DxMPnyvhTvHrJ0frRJyuGPGwAYoM7KYnm7IS6tYHp7jIijUzUaCjH+nCygtFspzXhOVd46m17/VWa+NbFkHq5T/HuryzhNy02TS+8sOj/dUdrrVQpDp55SlYrxHyy5Do3xLqsUtrxYch2RCupbVrG3v1J0vjG1tNcruo/fVscephs014ErwxJHLPSbQxlce+21uOeee7B3b/HGSBAEQRAEQRAEQRAEQRAGg7J6bp1+On1bXWtrK5YsWYI5c2ivGqDrbYmPPfZY30onCIIgCIIgCIIgCIIw7Dj/+B+KfIRyKevh1urVq6Fp/u6mEydORCaTwVtvvcUuE0wvCIIgCIIgCIIgCIIgCANFWQ+3Nm/ejBNOOAFXXnklTjvttMEq0/uG6t0uLMvzK+wGHcOdc/3jifc30fHPkzsvIzFzMh3DbKZ3k9i+xmdJrLZ6oW86k6Fjx02zhsQSSepHCPq1AKD6uOt80+lX7qbrd+gYbnvLSyRmzD6exNJv/ZzEguPjY8f8C0ljHfo5EkO6k4Q6/nIHiVUtuNA3rf+Z9lbU6g4isfRcGhv3ty0k1jmTupkmPvWyf13zDiNp4ps891OGcSaNNsxINUzdc15w52GlNt83zXmVbGacfiw+ncTa26irI2pOIDEE/FExq54k4dxyqdR7JFZZOZ/E0umtvmluu4MOK4D3ZCUrDyaxTHo7k6ffa1Jb9wGappOWn/OUcR6uiOF3y8XjM0kazmuRTm0mMc4LyPkQqmqP9k1nOum6rLjX9hhOGgjXr4wapt/6bVi6hXzO25hDqw/xpZnT4R3LfKGl57MV9c73AwPrVY+retxVt1nwunDoL7zzNJfxrklGxDsfopa/jnHnJwCkFLfdoQ/621K1jh9+v+dOcpQyf/KuSOgyqutCNzzfR2fnRt8yESPJppukePhyAcefuq9U757aHkwInL9q++Eqzr22Nu+HxUlG3LeMeuwiSptRq1zTl3zL324Yhud2Uuufr8wJf1uZz3rH23VyMBy/m200kqky4VqmL9Y0mfcnTdhssPFXzqFOQgCY/Rrv1QKAY255io1rUw5h47X/cjEbL8z4PBt3f/YQG9/BtKsAkCu0s/HNa7/FxjN2CxsHgJzD34NYehUb35PivWEAv/9s5Nm4Cd5X1unsZ+Mawn+Ud0LyyCHNxu0Q55aJaCDd2OihUbXXhhXlt7k3dNjFNTeTrqA+W5X9y+n9f5Ca264sOp+7vwqiadS96p/fL+sPACA57uii87UoX2+6KbRvLTofANqaXi46n7uHDJLs5N143Zgx5p5ZQdv9dsk8EOJJc4fLuSWMaMqufc899xx27iwuyhMEQRAEQRAEQRAEQRgruP8Qyg/Fv1A+/X+0LAiCIAiCIAiCIAiCIAjDRFnDEgVBEARBEARBEARBEN53uK5PXTCo+Qhl06eHWz/96U/x8svFx+l2o2kafvzjH/clmzFP9ZY2xBSlg8OMzc8HxvHvz64jaVp/fRyJzRhP32xZPf8LJGZVzKTr2/e8b7ozTcdtx6yJJMa5cOLJWSS2/ckLfNOTpnyGpGnZ/XsSq5t9Honl1lM/RWLaySSW2fkn33Tbn28laTo7N5FYw5SzSCxewYwvbw44YeafRJLk/vYbEku980MSa2f8RMbr1BmRWHSNb9psp86H3R9Z0PM5m20DeldtRyxmdByiuue1iVVTf5Rm1fgD3Fh95qKkJakny97MOKsmLCYxJ9viT8O4oow49Q7ECtSTpum0WTY7/cvqJnUtFBTvTTdRxn9lVlC3WCJ6LF1f+zbfdIRxxiWY/Wi30Hrk5Ol+NKcGHF5Zxp0QjZFQRZo61NwcdeNh/EwSSq39hW86xrRPqpPJHSMelM17H4UJA1Hd81q5zf420VBcdo6bU+boStzvm9E1zzXkKjdh6rpa2v/uWybvpNh0ap6mXhlYxju+unJOq8s0da7xLRPRPf+U6tCxlW0wNL9TSSXjtHp5wtvOmFETKJvX7kY0b3sKrhr3u7DUa7067EAtT9BPZLS9qWyD57TSlONj6v7rRNZ5FRzqNqTtZn8+8MqgOozU/RbT/S4p1S/juAXk3L47d0YKNU8+jpjh358ffJF/K/i+Nd9j4xpz7wQAiFOnaDdbQvxyubW03QN4tyAArN/w32w87Taz8QhoWwsAbojfKg/edcPdx3ajhQwWyTlM+11kXQXGTwsABnj3mY2QfdeH9t0J2R96iKcrbBuCXq9inq/RxL6ZBqIx/jj0hgKK+/qC7XyQqhvPKJlHbPwJRedblfS+IEg+VVzPY5dwVan+yzC2vntX0fk1VbyHr5t4JfW8BklW0HtolXy2uAMNACpmLy06340li87PvkMdxaQcIfsrOwb8jsLA06eHW6+//jpWr6aiZQ55uCUIgiAIgiAIgiAIgiAMFn16uHXHHXfgkksuGeiyCIIgCIIgCIIgCIIgjDhcOEPSs3+sjB4YakQoLwiCIAiCIAiCIAiCIIxaRCg/jBQqYsgrTpm8lidpNJf3GqhkXeoreHffwyRmPPcrErO0ChILPimOReponjk6DtuKUqeQy/iOKpN+Z1WqjY6hb+tYT5fb/3cS27H9FyS2773/IrE548/2TXd0bqRlZTwhr2/4DxKrMw6gsarDfdMtf7+RpKkNpAEAjXEiNbW/TWKcGyb65o980zlmbPzO36zq+ZwfA78AbNr1MKKK58fYSfdLxvX7NaIa9ZVx5F3qOuMcIbE9j5dcV6dDj0VMqyaxpDmJxNry1NOienAAoOBSz4CNHIlFNOpR4ZZNGtQ3FnTxcPsxatD2o7Owj8RUJ083lVsn+6a5X6hSzLoKLt1OjogWJbF4ZHzJ9auMBXcQANgoQIeDTsfb3jz853vUjgcXAwDoyrkXrA8Fpc6o64vY3r4POmdMxe2Tt71l1HPcCdQfQ7lVCfX2BPyUahkKSt1Q3TYR+M8RdR1qPha88zxT8NdP1VXUih1smYP1V1PcQKpXU13GDniFTNc7PhnFIaTuT932t31qm6Dug3ShpedzLuC4MZV9Etw/3aSc/f5peH4yE9Exca3ZsPF/fNcaAMg5/P1YmLstx9ybAUBjbm1ovsWcVeWkD6sndkh6I8R1lAV1eQJ+D11vicJi42FlyoPeE3el551b5Xqrwrah2DEwQr42Fco8Dp0BD1g+xOU12rAjgB2iMsxqpf1IbgmBdsTl26Ru9qXfKpnHvm3F01QYDSXXETPHFZ2fzfNuu25qKhcUnQ8A9eM/UnS+4xS/F+pspd8lgpTqGbSv5ZWS65jOOGBV9u//U9H5HdkdRecDQEMNdd0CQL6X94MDjes6ob7Dgc5HKB/puSUIgiAIgiAIgiAIgiCMWsruueU48hRREARBEARBEARBEARBGBlIz60+cu+992Lu3LmIxWKYP38+fv7znw93kQRhRCN1RhDKR+qNIJSH1BlBKB+pN4LQW5wh/BfKRZxbfeChhx7CpZdeijPOOAOXXXYZVq1ahWXLlmHcuHH42Mc+1uv1NE+xYMU8B0Feox6BYKwTpR1c5ZB0qEenU/fnUZmvpAu2riYhzl/QqreQ2ALzJN/03/O/J2nGOeNJbM2mP9JyMMwxjiGxl5ru6tWyBObx7363kQZbXy29ruY/k9Ch1qkk9h7epMsyGoLO3f5y7NQ30URK+Quuy65nKBioOrND24CIVsKrEZidcKhLiHNzJEDP86AXAwBSoPs5mEdKp56ScYwfYV9uM10/syyB2QXcdqY0uq6ES9PtdreRWBKBtoE7BxkHTQK9LEfe71lIgnobXCbTFNppQTiY8qbsd3zTU9xZJM0O/b2ezwUMX50BBq7e7NG2I6JpiLqeDCVHHI+eIySmeE0yWrjTQl1fGMF8wpah5SmNui7L9fvlOjSv7upKhXGUA1rnTvQto7qxGnXV++V3TPWXsONQ6XhtULveHrqMn46eT3oR51CFW9PzeZ++J3S9rVpLL/L0Ezx2Y+FaswVrEAnuz3J/Dg45HLEi3qCw+lbt1LDxfIgri3O4dsV5X9VQEAlxyMaYaxIAdOgdbDzi8q4sy+WdXrmQfWqEeLKKtXnlElbWIIUSrqnBZqDqTUULEKX6UgD89TxI2HnbTafbWnR+vhder6Rb3BG1wf1ryXVUZpjvRWWQail9Telo+U3R+TUadbaqhPneVNrdPUXn79eZ7zsB3tv5Zsk0/WVTC/3OCQx/vRFGJvJwqw/ccsstOO6447BixQoAwOWXX44jjzwSN998c1kXAUF4vyB1RhDKR+qNIJSH1BlBKB+pN4LQe0QoP7KRYYllsmPHDqxduxaf+9znemK6rmPp0qV48cUX0dZGe3oIwvsZqTOCUD5SbwShPKTOCEL5SL0RBGEsIT23yuSdd7qGtcydO9cXnzt3LhzHwfr163H00Uf75mWzWWSzXlfZ1taubrW5rP+CMRzdK7nXDwfL0dtXFOvM2GBum3IuM4SBlKt36+LIMa+JHqldV4P7Auh9WfOBLvWlluueX+pVywPNQNaZvhxH7vzlRotw51xv6geXrrfndG/X3xv6WtZy0g3m+rn9ww1j6M8r02nbRoelqGmGq84Ag1NvdHXbiuzHQi/T6b3YL8Hlw5Yplk9v8teL1EH1Vzx1WGLwnCso04N5zQg7Duq5Hcy/N/u62K+V+ZBtC65XLU9v8gwuo67//Xat6S3F1h1WD7j2sSseUp8GsJ4NGCFlKncbwtYTbANKrSdsmNyA7qMy69Bov9YEv9eo9KZOhR3Dbkpd/3uTR1hdKm8d/TtO3L0HTVO8nDm3+Dq03gwDHYB9MZwM5z2aMHKRh1tlsm/fPgBAVZV/zHZdXR0AYO/evWSZW2+9FTfeeCOJ3/fd6YNQwnJhLkSkjWimaXoL0968kKOOLQozDryXbdcL7iu9SzgCeCHzu34svdE/2cv9s3//flRXV/cj3/IYyDrzMuw+uFx66Wji6gIHm397L9IUdxsUX7Y3MNvZm7KGpuvF/ujX+oPpenuc+gEpx4ZepBn6OgMMVr1RHvwXPc/6kC4MsnzIMn0679V19cJVR9gcPmtQ75XD9m9zSDywTJ9QfEe+dQfWW2xeGCH76v13rektRfZraJ4D5H0b1u+AYdsd4kkKLWuZ6ymXAd1H5dXb0X6tue+2wf5eEyL0KosS7uJeHf9+fC8akOWBgXZBsoySZ0ZDXm9cp+t/KPIRykYebpVJ9y8VhuGXRJqm6Zuvcu211+KKK67omW5pacGMGTOwdevWIb+IjXba2towbdo0bNu2jVyIheK0trZi+vTpPTcsQ4XUmeFF6kzfGa46A0i9CWOsnc9jbXsAudb0h+E+H4Yz//fztsu1ZmQx3OfiYDAWt2k4640wcpGHW2ViWV1vY7Ftf3fQfL5reFksFmOX6V5Opbq6esw0MENNVVWV7Ls+outDq9qTOjMykDrTd4a6zgBSb0ox1s7nsbY9gFxr+sNwnw/Dmf/7edvlWjOyGO5zcTAYi9s01PXGhQO3xJDOgcpHKB8RypdJfX09ABDBYlNTEwBg/PjxQ14mQRjJSJ0RhPKReiMI5SF1RhDKR+qNIAhjCXm4VSYHHXQQAGD16tW++IYNG6DrOubMmTMcxRKEEYvUGUEoH6k3glAeUmcEoXyk3giCMJaQh1tlMmXKFMybNw+PP/54T8xxHKxYsQKLFi1CTU1NyXVYloXrr7+e7dIrFEf2Xd8Zrn0ndWZ4kX3Xd4Zz30m94Rlr2zTWtgeQa01/eD/nL9su15qRwljbHkC2aUDpFsoPxb9QNpor788sm4ceegjLli3DGWecgSVLluCpp57C7373O6xcuRKnnXbacBdPEEYcUmcEoXyk3ghCeUidEYTykXojCKVpa2tDdXU1rqy7DJY++A/Usk4W/9P0fbS2to45T9pgIkL5PnDuueeio6MDt912G5544gnMmjULDzzwgFwABCEEqTOCUD5SbwShPKTOCEL5SL0RhN7jug7cIehVNRR5jEWk55YgCIIgCIIgCIIgCAJDd8+tK2r/dch6bt3efI/03CoTcW4JgiAIgiAIgiAIgiAIoxYZligIgiAIAnbt2oV7770XBx10EHbs2IErr7xyuIs0YDz44INwXRfnnXfecBelX9x///1wXRdPP/00PvOZz2Dp0qXDXaSyuO++++C6Ljo6OjBlyhScddZZw10kQRAEQeg1Lly4GIJhiZDBdX1Bem4NMffeey/mzp2LWCyG+fPn4+c///lwF2lEUe7+ueGGG6BpGvv/5ptvDk2hRxHHH388Pv/5zw93McpC6kxxpM4MPqOx3pSL67q44IIL8OUvfxlnn302vv/97yOfzw93sQaEbdu24d5774Vt28NdlH7x8ssvY/LkyfjCF76A7373u1i2bBn27ds33MXqNTt37sQPfvADXHjhhbj88stxyy23IJvNDlt5eluv77///tA28ze/+c2AlOWhhx7Cxz/+cYwbNw4VFRVYtGgRVq5cOSDr7k8eQ7HtP/3pT3HyySdjypQpSCaTOPTQQ3H77bfDcQbuy2Nf8hjqa6Vt2zj11FOhaRpee+21AV//YDMWrpPPPvts6DHXNA3333//cBexLLhjsnLlSnzqU5/CzJkzEY/HMXfuXPzXf/0XMpnM8BSyTMLOs0cffRQLFiyAZVmYN28efvWrXw194YQRgfTcGkIeeughXHrppTjjjDNw2WWXYdWqVVi2bBnGjRuHj33sY8NdvGGnP/vntttuQzKZ9MWmTZs2mMUdNdi2jXfeeQcrV67E888/j5kzZw53kXqN1JniSJ0ZPEZavXFdF3/84x/xjW98A8899xyZd+utt6KxsRGVlZXYtGkTvve976G6urrX6//Tn/4Ey7Iwbtw4AMDbb78N0zQHdBuCDPY2da/nqaeewoknnjiQRQ/NazC3Z/369XjkkUdwyimnoKGhAYlEAtu3b0d9ff1Ab0oo/dnG559/HkceeWRP+mnTpuGll17C8ccfP2Tl70+9vvbaazF9+nRfbOHChQNSrltvvRXJZBJf+cpXEIvF8NOf/hSnn346fv/73+OjH/3osOcxmNt+yy23YNasWfjiF7+IRCKBxx57DFdeeSVSqRSWL18+7HkM1bXyqquuwpNPPjng6x1MRtp1sr/MnTsXd999N4nv3LkTN910E3R95PcJKXVM7rzzTqTTaVxwwQWora3FM888g5tuugk7d+7Ej370o+EpdAlKbdPdd9+Nyy67DGeddRa+8IUv9PRs/uEPf4iLL754EErkAEMiexehfF+Qh1tDyC233ILjjjsOK1asAABcfvnlOPLII3HzzTfLF3X0b/9ccMEFGD9+/FAUc9Sxbds2LFiwYLiL0SekzhRH6szgMZLqzSOPPIInnngCHR0d2LJlC5n//e9/H8899xxWrVoFoOtL7Pnnn4/HHnus13m8+uqrcF0XK1euRGNjIwqFAv7lX/5lwLYhyFBsEwD8+te/xtKlS3HHHXcMSLnDGIrtWbZsGU499VQAwJo1a5BMJnHIIYcMzAb0gv5u444dO3xS3MrKSuzcuXNoCv8P+lOvly5diqOPPnqAS9TFj3/8Y3zgAx/omb744otxwAEH4Lvf/e6APdzqTx6Due1PPvkkZs2a1TN9+eWX48ADD8Tjjz8+YA+3+pPHUFwrf/SjH+Huu+/GJZdcgnvvvXdQ8xpIRtJ1ciCYPHky/vVf/5XEr7zySsRisVFx31nqmPzgBz/w1YV/+7d/w3HHHYfHH398KIrXJ4ptU2trK6699losW7YMDzzwAICu43XiiSdi+fLluOCCCwb9hzphZCEPt4aIHTt2YO3atfje977XE9N1HUuXLsWNN96Itra29/WbEGT/DB4NDQ09Qw8++9nPDnNpeo+cE8WR/TO4jKR6c/bZZ+Pss8/G/fffzw5X+fa3v41bb721Z/r888/Hf/7nf2L9+vWYO3cuAOCb3/wmcrkcWVbXdVx77bUoFApobm7Gpz71KQDAIYccghNOOAGzZ88etdu0ceNGNDQ0oLa2dlC2QWUotsc0TdTX18NxHHz961/HL37xiyG9ae/vNjqOg0jEu+0sFAowDGNIyt7NSKrXKupDJwAYP3485s2bh/fee29U5dEX1C/aAGAYBiKRCKZMmTKq8ugrzz//PC677DL88Ic/hOu6o+rh1kitTwNJU1MT7r33XlxwwQVoaGgY7uKUpNQxCdYFAIhGoyOiLoRRbJv+/Oc/o7W1FZ/73Od6Ypqm4V//9V/xT//0T3jttdfwoQ99aEjLKwwv8nBriHjnnXcAoOcmtpvuG77169cP2q9io4H+7p+9e/fCtm2MGzfOd/MsAPF4HKeddhoADPkXif4gdaY4UmcGl9FSb9avX09+1ZwyZQqqq6vxzDPP9Jwf//mf/1l0PdOnT8cBBxzQM11bW4s33nhj0B5uFWOgtumll16CpmnYsGEDXnzxRWzfvh2HH344jjjiiEEtf5CB2p5uvv3tb+Oaa67BMcccMyjl7Qu92cYpU6Zg+/btPfPb2towadKkIS1nf+p1U1MTdu/ejbq6OkSj0cEono+dO3cOev3rbR5Dse179+7F1q1bcdddd6G5uRk33HDDiMhjMK+VmzZtwllnnYXLL78cF1xwwahzOo2W62R/6B7Gd9VVVw13UXpFb49JU1MTtm3bhoceeggvvfTSiO65VWybWlpaAKBHqdDN/PnzAQDr1q0b8IdbLpwhEsrLsMS+MPIHD48RuqWvwZ4UdXV1ALounu9n+rt/FixYgIkTJ6KiogIXXnghOjo6BqegwpAhdaY4UmcEANi4cSMAeh5UVlZi69atvV7PKaec4jtnmpubB8ypUy4DtU1f+MIX8PnPfx6f//znMXnyZBx33HFD/mALGLjtAbqGBp522mk45phj8Prrr2PNmjUDVs7+0Jtt/OhHP4q//e1vAADHcbBhwwYcddRRQ1vQfvCxj30MkyZNQiKRwJlnnok9e/YMWl6///3vsWPHDnz84x8fEXkMxbYvXboUxxxzDH73u9/ht7/9LQ4//PARkcdgXSvb29vxqU99Cscccwy+853vDMg6hYGlo6MD3/ve93DWWWcNyw89g8nll1+OhQsX4vvf/z4efvhhnHzyycNdpD4xdepUAOi5tnRTUVEBoOtHFOH9hfxcP0R0vxEo+MS5e0jBcL4xaCTQ1/2zePFi3HnnnZg4cSLS6TRWrVqF++67D01NTQP2Jh9heJA6UxypMwLQ9RAKABEeV1RU9MzrDePGjcNFF12Eu+66Cx0dHbjiiiswZ86cAS1rbxmoberm17/+Nf7yl7+gsbER8+fPx6JFiwaknL1loLbn2WefxUUXXQTLsgB0SXZHykP+3mxjQ0MDPv3pT+Pee+/Fvn378K1vfYukH4nMnz8ft99+OyZNmgTHcfCnP/0JP/rRj/CJT3wCr7766oBLptPpNL7yla9g0qRJuPTSSwd03eXmMZTb/p3vfAebNm3Cr371K3z0ox/Fr3/96x7H3HDkMdjXyq997WtoaWnB//7v//a457rryt69e9Hc3DwkQ6qFcH7wgx+gqakJV1999XAXZcC56qqrcNppp+EPf/gDPvOZz+AHP/gBLrroouEuVtl86EMfwsyZM7F8+XKMGzcORx55JLZt24Yf/vCHANBzvRxIXHeIem4NibR+7CEPt4YI9WZUpftV67FYbMjLNJLo6/455ZRTcMopp/RMn3/++YhGo7j//vuxc+dOTJ48eZBKLAw2UmeKI3VGALyHm8GHnPl8HoVCoax1qc6K4WQgtwno6q2xdOnSASlbXxio7Tn++OPR3t4+oGUbKHq7jf/+7/8+pOUaCBYtWuR7IHrOOedg4sSJuOGGG/CXv/xlwIe8XHTRRXj33Xfxu9/9btAebvQ2j6Hc9sWLF2Px4sU455xzcOyxx+KrX/3qgD/cKiePwb5W7t69Gzt27GBfCvHJT35yVA5THEvkcjncfvvtOOmkk3xveR0rLFy4EAsXLsQ//dM/9fygde655466e2vTNLFixQqcccYZOPvsswF0OcS638I7GjxpwsAiwxKHiO5XdQe7RzY1NQHA+/6tZQO5f7obNO5tTsLoQepMcaTOCIB3HjiO/xe+zs5OVFdXD0eR+s1Y26axtj0c74dtVOluMzdv3jyg673hhhvw8MMP48477xy0YUL9zWOwtr0bTdNw/PHH49133x20h7l9zWMgr5XLly/HypUrff//9m//BgD47ne/OyofBI8luh9ijsVeW0FOOOEEtLW14d133x3uovSJhQsXYv369XjllVfw7LPPYteuXVi2bBkA4LDDDhvm0glDjfTcGiIOOuggAMDq1at9vwRt2LABuq4P2/CPkcJA7p/W1lYAXa4PYfQidaY4UmcEAD0S+D179mDChAkAuh4wtLS0sG9FGg2MtW0aa9vD8X7YRpXBaDPvvvtu3Hjjjbjllltw2WWXDdh6BzqPobhetLW1Qdf1QRlS1J88BnLbuRe+NDY2AgCOO+64QXGOCb3Dtm185zvfwVFHHYWTTjppuIsz6HT/SJpIJIa5JH0nGo36XrLyxz/+EXPnzsWBBx448Jm5LgB34NfL5iOUi/TcGiKmTJmCefPm+d5G4TgOVqxYgUWLFqGmpmb4CjcC6M3+aWxsxLp163ou/gDwwgsv+NZTKBTw85//HNOnT+95U4YwOpE6UxypMwLQ9VBh9uzZPW/PBLrepJnJZHDiiScOY8n6zljbprG2PRxjZRtbW1uxbt067Nq1qyf25z//maT72c9+hsrKShx77LEDku99992HL33pS1i+fHmv35o50HkMx7Zv2LABb775pi/W1NSE//3f/8Xxxx8/IG9m7E0ecq0UVB555BFs3LhxzPXaampqwjPPPOOL5XI5/OQnP8GBBx44Zn6IePHFF/HAAw/gyiuvHO6iCMOA9NwaQq677josW7YMZ555JpYsWYKnnnoKr7/+OlauXDncRRsRlNo/d911F2688UZcf/31Pa9v/vCHP4xFixbhE5/4BOLxOH71q1/hlVdewS9/+csBl7yOVlKpFJ544gkAXb9GbdmyBY8++ijq6+uxZMmSYS5dcaTOFEfqzOAxEuuN4zhk2BcAXHDBBfjZz36Gz3zmMwC6vsSefvrpPb37RjJjbZvG2vZwjOZtLFWvV6xYgS984Qs+39G5556LZDKJM844A3V1dVi1ahWefvpp3HbbbQPixNq1axcuvvhizJs3D1OmTME999zjm3/CCSf0ex/2Jo+XXnppyLd9+/bt+OhHP4pTTz0VS5YsQTqdxk9+8hO0tbXh9ttv7/f6e5uHXCv7xki8Tg4E3/rWtzB79mycddZZw12Usil2TGbMmIETTzwRS5YswSmnnAJN0/Dwww9j3bp1+O1vfwtN04a59DylzrM//vGPeP7551FXV4c333wTDz30EM4++2xcfPHFg1IeF0MklB+CPMYkrjCk3HPPPe7s2bPdaDTqHnzwwe4DDzww3EUaURTbP9dff70LwL3++ut7YjfddJN7zDHHuHV1da5lWe7RRx/t/vrXvx6Gko9cNm3a1N1/1ve/ZMmS4S5ar5A6UxypM4PDSKo3TzzxhLt06VK3vr7eBeAuXrzYvfDCC3vm53I594orrnC//OUvu8uXL3eXLVvmNjU1DXk5y2GsbdNY2x6OsbCNper1fffd5wJwL7jggp5l7rnnHve4445z6+vr3Wg06i5YsMD9wQ9+MOhl6v6/7777hiSP4dj2xsZG98orr3SPOOIIt6amxk0kEu7xxx/vvvDCC0Oax0i5VnYfg1dffXVQ8xkoRtJ1cqD47W9/6wJw77nnnuEuSp8odkzS6bR7/fXXu4sWLXLHjx/vWpblHnPMMe7jjz8+3MUuSqnz7NFHH3Uty3KTyaR71FFHuffcc4/rOM6Al6O1tdUF4F5efb77tZqLB/3/8urzXQBua2vrgG/LWEZzXRnQKQiCIAiCIAiCIAiCEKStrQ3V1dW4vPp8WFr/h0yXIuvmcGfrz9Da2oqqqqpBz2+sIMMSBUEQBEEQBEEQBEEQiuE6wFAMGXRlWGJfkEHjgiAIgiAIgiAIgiAIwqhFem4JgiAIgiAIgiAIgiAUQYTyIxvpuSUIgiAIgiAIgiAIgiCMWuThliAIgiAIgiAIgiAIgjBqkWGJgiAIgiAIgiAIgiAIRXDdIRqWKEL5PiE9twRBEARBEARBEARBEIRRi/TcEgRBEARBEARBEARBKIbrAEMhe5eeW31Cem4JgiAIgiAIgiAIgiAIoxZ5uNVPjj/+eHz+858f7mIIwqhB6owglI/UG0EoD6kzglA+Um8EQRjNyLDEPmDbNt555x2sXLkSzz//PGbOnDncRRKEEY3UGUEoH6k3glAeUmcEoXyk3ghC73HhDo1QHu6g5zEWkYdbfWDbtm1YsGDBcBdDEEYNUmcEoXyk3ghCeUidEYTykXojCGODe++9F7fddhu2bt2KWbNmYfny5TjnnHNC0z/00EN44IEH8OqrryKbzWL+/Pn4+te/jk996lNDWOqBRYYl9oGGhgasXLkSK1euRCwWG+7iCMKIR+qMIJSP1BtBKA+pM4JQPlJvBKH3uK4zZP/l8NBDD+HSSy/FggUL8K1vfQszZszAsmXLsGrVqtBlbr31VjQ3N+MrX/kKli9fjvb2dpx++un4wx/+0N/dNGxIz60+EI/HcdpppwEADMMomT6bzSKbzfZMO46DpqYmjBs3DpqmDVo5BUHFdV20t7dj8uTJ0PWhfa4tdUYYjQxnnQGk3gijE7nWCEJ5yLVGEMpnuOvNSOOWW27BcccdhxUrVgAALr/8chx55JG4+eab8bGPfYxd5sc//jE+8IEP9ExffPHFOOCAA/Dd734XH/3oR4ek3AONPNwaAm699VbceOONw10MQQDQ1f186tSpw12MokidEUYSo6HOAFJvhJHFaKg3UmeEkcRoqDOA1BthZDFa6s1gsmPHDqxduxbf+973emK6rmPp0qW48cYb0dbWhqqqKrKc+mALAMaPH4958+bhvffeG/QyDxbycGsIuPbaa3HFFVf0TLe2tmL69On4p+u3IhrzTrTGaw8ky06MzPdNV1XMJWlsJ0NiGjPitK3zXRIrODkSixpJ/3KFHSQNR4UxkcTq6xaTWEvrm77pVL6RpKmMzSAxTaPbNHHOpSSW2v0cjaW3+qbHTTmTpFm99t9J7PBD76blMKIklm/d4Jtes+k7JM2kK94ksd23H0lis899kcRcg257/JVnfNOZlrdJmtihy7z5hQ5865mjUFlZSdKNNMLqzCcxEaZybldo9JyL6MHjQ/ddRI+TWCq/l8Ti5ngSc90CiemaP890YT9Jw53T7ZktJGZotFnOOG3+9aOFpJkQmUdiqQKtWx3YR2KTY8eQWHPG317kkSJpGuJHkVg2T7d9Z4Gem0n4z8MKvYGkMXQ6PGJ/gbZjSdDjZBnVJNZu+9uyhE6Xa3a8Y5KHg1VoGhV1BgivN8cjjgg0mLB65hXgP48N5XagQZ/T81ndHzr8v+jHQPcxAEQ0r36l3SbfvE609nxOKsur8SDjtQN6Pu93N/V8ziPf87ka43zLmEgo6dLs5yyyvmVUQWy9Nqvnc8Zt6fmcCpQzr6xD3Z44apRl/PsgCu8a267Mq8HEIst426MeB1U4GyzbeN3bb2pdskxvX8Usfx3QNBMcZkS5KQ5cizVNKY+TR9bJ4o79d4yKehNWZ75cewmsQLueL/DnaMGmbSMARKN1bJy7hnSTTu8MWcZm45EIv4/jsUlsvKNzIxs3Tb4u23aWjSNEppzPt7FxADAMi43nCvwyBnOdBvj7W4C/hgMI7UlUcOn9LwC4CD8+dsg8JyQeAb/NwfR5OHgc20ZFnQHC682/fHkrohb9Ag0Ab//PhJLrPaLmvKLzC4WOovPzIeeSP03xdVQkZxWdDwA7W/9UdP6kqg8Vnb+h7YmSebRr7UXnL66/quj8tXt/UjKPBZO+VHR+NsO3Ryqvtvy46PxD48XdTbrOX3NUKpL0+zEAZJ0s/r99tw9DvXEQ1gYOfD6945133gEAzJ3rf04wd+5cOI6D9evX4+ijj+7Vunbu3InZs2f3vpgjDHm4NQRYlgXLohe4aKzK93DLZC7Y0cAX3eDNFgDYGj35uYt/cF0AoGv0himYjisXB7d+S2e2O3DzXNBoF2iLucHmHm7FAg/iAMBmvhDbgf3GLcdtJ5eOe7gVvAnj1mUxF3w2zyhN5zAPt2JGwjftMtsdM2mDPxq6jIfVGRO6b59FmXMnQs5D5uEWc65y5yF3TnPvLtED6exentNZJh33cMsJpCu4vavf3DaZzLJc2ci+7eVyLlMOE/ScC577XPm5fcG3k707dr3Jk1v/aKgzQHi9iUBDRNN8x14LHBNDmVb3i7o/dLL/+OErESUePFfVc0FdN3eOcPn4z19+XaRsvmW8z04gT9e3D7zlbVctpz8fVzk31LKpy+fJPuC3u7fL+B9uOWyarvV5x1GtS2q9Dd5TaOTHgX+sW72Wk4db3rpdpQyjod6E1RlLi5L7l+CPGN0YWp6NR0PSu0XuqeyQh4thy5gh6bl7LwDIhaQP3pd55Qn7csXHNaZN7cYIyQMhy3DtPxD+cIu73nWViT8Pgw/ru3Hc8DeU6SHb7YSUKRKWR+j+G/l1BijyvcaqYu91ASDSi23jvuOoGCXmhz2c96cp/tW3VBmA0t+LSq2jN9+rSu2vsDpeTh4x5nuDj17si5LlLHFM9F4cM6tEOUdLvekrbW3+h7Zc/du3r+uH62DvrLq6rh9Z9u7lH/4H+f3vf48dO3bgy1/+cl+LO+zIAFVBEARBEARBEARBEIQiDLVQftq0aaiuru75v/XWW0mZuh14QWeeaZq++cVIp9P4yle+gkmTJuHSS+nIqNGC9NwaRuo32bCiXs+pHaDDC51AV3TdoE+vHWZooabTQ1uVnENiEaOCxOxAF/sa4xCSxorR4WA682Q9ndpMYhWJmb7pqQ0XkzTBX4YBYO26r5NYwxS6TfHJtCtlfOPLvuls6zqSZvYE+qrU/EFHkJj57lsk5hyz1Dd95AS6nPt/9M0TVVO/SNe16g4SS048jsT2f/wTvunxr9F9kR7nPcHP8j3wRxUH1J5e8tcqO9DlPBabTNIEh6kCgBWtJTGubnHneTbnH4pXFTuApCnYnSTWUEOH7XLd6sdH/L/E6EzvimyODkG0U7RHwbj4oSTGDf9rMBf5pve2v0bSxKx6EovHp9B1RU8gsdZWWo+CRJljMs6kQyh373+WxGoq6TDNStt/XILHDQDmVC305rs5oOW+kuUc6Uw1FiKqRVBwvCF5Kce/7XGdH5Y03jyo53M+cA4nLW/oU0Y5/3KOVwdjmv/cjWtePqbu9YytgufL6Czs8S2Td71r0sSI97p6dXvUNAAQ1ZVrm9JJYrzlDfVvyqz3L6N5vWHTjjos0PtVOAn/OTle86bjUW+IX0vW81VU6f7rZcL0pitt77OheW1b3PUPs4wqbUB71mu/1F+9g8NE1f2bsb3t8Q+L8/cgiSi9ldVeYTnl+EYi/vsGtU3UNB0Fp/RN9EjHcfNwnEDvxgi9XypGNkuHgAOAGTKUEODbYoDvud4V52/jmwP6h24qk/xQE+5aBwCmyffcyIRsWzIxnY0DQGd6OxuP6LSHPOA//3qDEXJvkHfotRcADPA9Ror1ArFDhjKGEewh68WNXqUbbVTsy8GK9v1ms1SvKrtE2xKN8NcxXxqT3leocPdXQWpMqplQMQIjK4LUadNK5nHU5OJDNFtaXi06/8hZt5TMIxcyDLqbytrSw9g+cVDxcmQPKD7MU//Lr0rmEdY+2co9wFhm27Ztvh5ZbG/jf8Rs2//cIJ/v+h7Qm7egXnTRRXj33Xfxu9/9DrW1xevJSEYebgmCIAiCIAiCIAiCIIwgqqqqWBm8Sn1914/NwSGMTU1dP2yNH08dsyo33HADHn74Yfy///f/cPLJJ/ejtMOPPNzqA6lUCk880SUDtG0bW7ZswaOPPor6+nosWbJkmEsnCCMPqTOCUD5SbwShPKTOCEL5SL0RhN7juk7ZPUv7mk9vOeigrl72q1evximnnNIT37BhA3Rdx5w5dHRPN3fffTduvPFG3HLLLbjsssv6XuARgjzc6gN79+7FZz/72Z7pZ599Fs8++yyWLFmCZ599dvgKJggjFKkzglA+Um8EoTykzghC+Ui9EYTRzZQpUzBv3jw8/vjjuOqqrjdpOo6DFStWYNGiRaipqUFjYyMaGxsxfvz4np5c9913H770pS9h+fLl+M///M/h3IQBQx5u9YGZM2fCLfI2ld6S3NmGmOmthxtzbwbe1seNR+fGIpvMeO90bheJ5dBMYpFIIE/G38W5J/K5JhJLVFC/gx5YNtX8JkljMd6GGQ1nkVjh7cdILGLRrpeFrN9HFJ9Cf4mKO/RVznYnHc/d+N7PSKw+8i/+/CZT51JkLz2+8YqTSAwmHUu97ZX/ILH8537jm04cQPdZ00xvjHU2E/5668FmoOqMC9vni+lMbSFpEgHnU3vHOyQN53KKMHXGdqgHj3MpRAz/2zI5J93+5ldIjHslvGXR12UHPWKNLW/Qcmn0vKmtXEBinLcvn28hsSATKql7IZ2hbQr3a9ae5hdIzAy8YbQiTh0WmeweEquoOJjGLOr54trKoEvDjNBu3lHFm+QOsztowOqNW4ALIO147f34mN9Jpvq0cnart2zBc1kF32pUsL32MaIcT9v1XG8513/umvDOP9XNpL5JLar761g84tUJ39sBVT9U3v8mICvi1XEn7zkosnnvOhUJvkVXWQYFPp4u+F1lqgtJvRZXmZ5DzHbDz6OE5TkB93a+2fO51vK/+jyd9xxHlZbna8nmvWNqGn6Xk65cu6OKj0ttK3L5Vt8yqtMmatZ4yyguqEKgPYooVU3TInBc/u2BQ8FA1RlAI+5P7h6nGGGvuOfuqboxDN4bFbZNwWtPN8l4iPsqpCcA52wE/OeAiuPwxzifb+fzBX+9AwCHfQdxuGcnzIkU6tZiro0AQs9TvchXIz3M0xXyVkQbIa4g+PMuDEEvkGIMVL3pHB9FwSrtrAoj7BzpJuyc6O3yAJBIFPdlBb3DbDlA3zSvEmwjg0ysK90brrn5L0XnV1SE98QBgB3bfl4yjwn1Jxadn2W8ySTNgs8VnZ/ctKP4CqqKO7kAABNmsmGn0A7QrwGDjvuPv6HIpxyuu+46LFu2DGeeeSaWLFmCp556Cq+//jpWrlwJALjrrrtw44034vrrr8cNN9yAXbt24eKLL8a8efMwZcoU3HPPPb71nXDCCT09wkYTfX641d7ejnXr1uHggw9GZaV3Q/XAAw/g5ZdfxqxZs/CFL3yh5xWUgiAIgiAIgiAIgiAIwsBx7rnnoqOjA7fddhueeOIJzJo1Cw888ABOO+00Nn02m4XjOFizZg2++EX6grP77rvv/fNw6+2338aJJ56I/fv3I5lM4qc//SnOPPNMfOYzn8Gvf/3rnnR33HEHXnjhBUyfHv72FEEQBEEQBEEQBEEQBKFvXHrppbj00kvZeTfccANuuOGGnumB6+k8sujTw63ly5dj2bJlmDt3LjZu3IivfOUr2Lx5MwDg6aefxvTp09HY2IhHH30U//Ef/4Ff/OIXA1lmQRAEQRAEQRAEQRCEocN1gKEYSlyGUF7w6NPDrTlz5uC///u/e6aXL1+Oz372s3jqqad8aT70oQ/hX/7lX7hVCAA6p1ShEPWcLzozZt8JjB9Pp7eRNLpOfQLcuHMzUkliql/Gy8M/Prqycj5Jw7knMpmdJMa5s7SAxyISpUNX9Qj1GlVOOYXE0nupx8jWWmg5ZpzgT7P7LZLGqJpGYx3UH1HXwJTjYL/bKFdBvQxtR42j69pMXSzZSrrsuFnMA+K1fh9UtpouN2GN51PJ5NvI/NFGLtcETXHzVCSo26y9c4NvOhGbTNJYFnVitbb+jcQ4b1OhQL0eVtR/bF3G32YwnpBMdh+JJRmnV9DzVcO4tDjXicbkubvpeRKrr6Y+rSBmpIbE2lObaDkY70lD7XEkFvRaRBiPX5zxxuxrfIbEKhn3RDa7l8RUbxDAu9dUV0ZhmJ1bA4Wm6dA0HRHFPdOZ2+1LoyvnuqbcGhi6d11KRP31plPxOKpeG9WBpnq5AL9TqDPrLV9QvFQRze8Rastv9dYd8cqQKnjXoVjEfx3JFby2L6JcI1VvWK0117dMc3o9WwbVexHMJ6LzzqNswXNhBc871cWUzXkOL0v3HGLB63XB8faj6tlSHWSFQN2L6jU9n1VXTUzxUrYo2wwAddYh3rpdzyuj5hPcHnXdGgpw3OJenNFAJFLhO28Aeu/STSm/TpAs0+53Y4Q4tMJcQ06I18sMcWWF5R3m1lLPAZWwfcF5KruJBByyPcvY1G0KAKZJ22cAyOT3s/GoTq8hQLi3JsyFl3PDnUthb0gzQlxcdoibSYMemB4bGDkXhhayv7XSX9RLObXUdp2jMlHa39Te8W7R+SZzLxIkHqVuVJVEmPPuH0Tj9L40SGXNkUXnd7a9XXT+jIOuKJmH1kAdpr481jxYch2x535VPI+aA4vO702/IW0/7+3SbN6zJ7y/6dPDrVjMf2NTXV2N446jX14AIB7nL9SCIAiCIAiCIAiCIAijAyf0QfdA5yOUD//TSwkqKytx+umn4+ijvV/7r7766p7PN910E6688kps2bIFut6nLARBEARBEARBEARBEAShJH3qufWlL30J27dvx4wZ3utULcvrvn3PPfdg165dePvtt/HQQw/1v5SCIAiCIAiCIAiCIAiCwNCnh1vJZBJ33nln6PzXX38du3fvxmGHHQZNGysjyQeeTIUB1/J8Jhoz6r4QGE8cNWeTNDnFv9GNw7iCwtwJQZJJv8eoqfkvJM2UAy6ieTbSsfJOgboLrFq/wyu9ewNJExu3kMTcGupJ0hupU8icdQKJ2bHSw2NbFh1BYvEm6oLIzaVj6aMd/m3Xbbr/p/2BbmfHO/9LYnVzzqKFy9N9u/bcw3zTB6+kPjbs3dzz0R4DY9NtOwNbUzwwjFsuHvOfJ1GLuhEa979AYlWV1D1gMcumUptJrJQnomv91F2XSm0hsbaOdSRWW+N3YrUwroVaxs/ArZ/1XzHOmHzB7/Bq73yPpJk04WMkxrmuOjrpuR8PeM/y+RaSxmVkmmF+liCJxExajoBrwzJiJE1UcQC6Rfwxo4mCk4Ou2YgbnhtO1/yOx9a8135YmuccqYx5P2J1Zrf7llGPjw3PX5NSfF665m+jVd+UofivUrbn0alKzPAto+W89lT19jhuHmGoTpRsocUrs2L4SOcafcvEDO/YG4pvSf0cvCar+yCjOMAsw/NpBj10mZzXXtjKNqier1TW77BU/W8516uvlZFwd0sqt6fncyLa0PM5qziLqmIzA0spx9T2zv9c3nPdBNtYdR/kC+3IFTkuo4VCoR2G5ncycW0UAGg6fyvN+RkBvl3rWVfIgAqd8ScC4e6roDvVWw9f1jxzrwbQ+lsqX5259+wm6JDtJswzFtbWh+UR5khU25nexJ0QTxbgdwOqZMF716LgPWPBIU3c/f9oRHNdaP14+1qpoV4RxklazvIAELcais5PJEt7u0rR1ka9viqVIfVZhXO+ljPftUvfl2qNm4vOj1UVd3IBgJ1rKTo/YhTfVi1GfdBBcttf5ONO7+4HBxrXHZphicWuFUI4fXq4VYqGhgY0NBRvPARBEARBEARBEARBEAShvwzKwy1BEARBEARBEARBEISxgvTcGtmI7V0QBEEQBEEQBEEQBEEYtUjPrWEkWwG4ivIlr/Fj+UsRidDxypwDiEtn6NQ5k1f8JABQmZxDM2V8C9UHUFdUvvHvJJZtXuNfFfOM1Z18EM2S8U5l0ttJzKhg9kfUf6qb0SqSpmJHK4l1TK0msernnqXp9jzvm266/EaSpnI14x879ku0rB3U07H+k1NIbN4Dr/um3co6kgY1io8l4FAajVjWeFiKAyQWp/6zjnb/+cW5SoLOGACwbXp82tro+WtFx5FYsL5lsrtJmvbUJhKrq6aeN86T1dHxjj9Nfg9Jk2DyrKyk9YhzYnH1OegWMpj9yLnLuF+aKiuoK7CtY71vui7gFQOAfL6JxDg3WiHfRmI607aZpr8+RyK0HVD3T9Yt7awYDUSNJKJaBJbpnbtBV2O1Oa3nc97x6kJH1nNxxc163zKdOc/rYxnjveVtr61JBNxqKeU8zTmepyZm1PR8tgP1SfX7tGU3K8t4bZ7quwL856/qzDKV62DQiaQ6TNQ6ZkW8sukBT4/q/Yub3j6wFV+bHXBQqa6wRMTbpxnb24a44ff9GZq3DZbmlQdKfQv+kqx6v9T9oeYfdCqpbq2I4kJS9xu5Ziu6oEgkCXuM1JsgRoT3/RghHqCwX93V8zGIHeKNikR4d1OYlyoS4rEK24ZsjrpbAcDVw3oO8I6ofBG3Z5hPzDD4/RGsN92EubVc8E6vbIiXJ8ytlXd5/xgAxDR6TwgAEfDbEHYOBPfF2DBuAbVrdiAWodfj3uI6/DHsxikxvzdOzuB9QJCtu39dch1T6j9edH4F971Jgbu3CVJV/5Gi8/WQutxNx156fxakchbj+FXzyPMuOV8+HdSpqmJNX1J0vtu+r2QeRrSGj9ul3WXC+48B7bn1z//8z+xnQRAEQRAEQRAEQRCE0YuLrpevDPZ/31/O8H5mQB9utbS0sJ8FQRAEQRAEQRAEQRAEYTAY0GGJmqaxnwVBEARBEARBEARBEEYrruvCHYJeVa4rPbf6gji3hpFEiwvLKn7iagEXjsZ4b1CgfovgcgBgmjUk1tz6JoklE36PEeeTKKSo3yff/DaJOYzHKDl+kW86y3iz9v7payQWi00msZo5y0jM3fg6iUVqp/mmncnU2+O8uYKuf9sCWrZTTySxePOHfdMzfruapMlNm0Fjf7qLxJovu47EJmxkvA3xgC9oH3U6dXzwuJ7P2Vwb8Ce6mtGEbadha55zwWXcLhWV833ThXwLScO55qLWBBKrrBxPYk1NfyaxoN8pHptE0gT9PgDgMm68mhrq4cpm/PUtYTaQNBGjgpa1+VUSS8Spv82xMyRmRf3bzrUpccZ5xrmuWlvfILEgmcxOWi7GrVJg2pSgNwgA6xGLmn4vHefssxQfm+EYbFlHG7oWha75L/e269+3qhvGUvxX6nHP5BuL5OGtX3VppQIuuKjiOcs7ipsr6p3T2YCPRPVNRXXvPNc17/hEDb9rMab4r/KKbzCV81xaajkBIKZ7LhZT96576rqC9SCT28fOy9nhrhJ1e1SvUETzPElOoG3L2p7HxtQ9/1JUcWEF/T6pvOePi0e8bVDrS2fWXwfUdWcVb1jcom1aT76qB4epd6ORfKGNtCvRKOO1BJBnrjEASJ3rxnZpe9tNmKPJtkNcXAbv4go6E7tx8tQtCgDREA9RzKLXGgBIZ3aw8WLOI9OkPlQA6Mjy61LrSW9Q649KPmR/GzDZuBPizwKAjMvvPyNkmTRa2LgJ/3XSGYI3rw0F+ZoqGCZ1WQKA4faibSjRfpgh7rlu9CI+u27SmV1F50+oXlR0PgBELept9ZXDoPdBvvmc+zSAy9yX+eaX2FdGhN4TBsnve6vofO6+L0iy+rCi890Wvn73MOHAknmkdz3LxtVrlCB0M6B3IfKEURAEQRAEQRAEQRAEQRhKpOeWIAiCIAiCIAiCIAhCEVw45O3Eg5WPUD5jo/+4IAiCIAiCIAiCIAiC8L5Eem4NI5lKDU7ME+/bzBNaXeOdACqcE8vmxiEzLoeqSuqeSlbM9U3nc9Szwrm/Isw4e82iziI9Ue+brp55JklT0UD9VPoW6rFKbX2KxGKH/jOJZcbX+Kajrz1N0tj5NhKDTqvIhGepP6jxOL8nyZxFx5C7z/+IxCoO+hxdF1Mr616m2978gUN90zVvUz9Q4tnHez7rjKtotJFMzILlcyrQ5/Pp9GbfNOdj0pjj2tHxDolVVdJ0ySQ9tkGHVzPjmIpw7roC9fI4qa0kFvRQ1NUeTZK0t68lsarKeSRm9/I8CPplCkz9aG39G4lVVx9OYoZBXSj1VX6fHbd+rqzZXDOJRaLULcF5xDTLfzxZL4baTob4b0Yr6ZznvzJ0/zExlHrVoXiYrEhNz2ctUN9UP1Na8XGprhwj4EBJ5z1HVTLq+d/UdUeVPAHAVtxrqsdIrduuW/At05bZ2PM5HvF8eqqzKxn1e6T8TjGvPO2ZLd7yAbdd3vHOUce1wWEEruOqiFZ1mqhmB9WxBQAJ09uGXMHz/qiOpuB131SOsepYU4+PFan1LRM1velc3qtrqt+Mvb/4B8FzZLRiResD1xq+TQHCPVlGiHdHdcAFiTBtJYBQF5ETOO+7sUJcWTZzzQEAh/E/AuE+sUiE92cV+81cPZ9U1DqpEqwD3YT1Zgg69HrShxyfHAb/nigK/ng68LcVY6WHxu7DqhGN8c4t/LL08pybVCXsWHaT6YXLSm3jOGKMSzSIYRb3WWVT1Ofpy6NiVsk8sh3vFZ0fTRQvZ2fnhpJ5jKs9pOj8/GEfLjofAPRXHis6v5Q7TG/txTGL8Y4zxwl3/A0m0nNrZDOgdyHyhkRBEARBEARBEARBEARhKBkbP7EJgiAIgiAIgiAIgiAI70sGdFiiZVnsZ0EQBEEQBEEQBEEQhFGL6wBDMWRwjKkxhooBfbj1q1/9iv0s8FTus2FFvXH3pkv9WqprBABMs4akSaU2kxjn9+GcDRGDjhvP55r8ZWDGS0cSdPxzav/rTJb0FGvf+IBvuorxBzl7/0piZiUdo875xtwIzTO+JuAGqjmApInF6kjMzVI3hjPzUBKrec/vkohsW0/StH7qSyS2Zxotq8UoB1LzqBut6r39vulCLfUIvPjVT/d8zqfagH+i6x5N5PL7oSmeHc7vYln+c5OrHxUBrxwARKPUD1ewqcOjrX0diY0fd5xvmqt/yQQ954KeIIB3nORy/mPNuag0jZ5LXLqgHwwA3Agthx5IpxvUyaIz7j0uT2479+1/wTddW72QpMnlW0mspvowEmM9P0x7FyxvgXHfqPs66+bpekchhhFDRDPhuN4xzNv+bY9Gqns+V8Y8l0drxvN+qI4tAHAdb/+obi7Vs6WFuIK6yuDVr3jUc0q1p7f40sUitG4CgGF4+biB66cFrzztec9/Eje8dtJw/T4cy/SuAbbtXXujEc8hE7wmxyLeMqovKaecW8Fl8o7XyKsOGdPwPEaRQNmas55DrKHiSC8fpY5kCv7rUFVsppen7eWpngdqnkE0xbOl1ie74PecRKPePnXdwpjwbrluAa7r91iG+aeijFu0aPpouPMnn+d9XHpIPeLaMABwAuecF+fdWtHoODaeYxyHxVB9cEHC/DGqg04loof4qlx+G8K+bOohX3UKLu8CimnVbBwAci7v6cqH+LsM8N7c4NHUMTa0LprT9d9XIpFk0flh53s3UTP82HVjmuFtHgAUQuqtCuciVrHiU4vO37+H+oKD1NR9sOj8TEdxp1bQn8xTvK22duwsvYoJ9J5MxampLzq/YNH7yCCR1D4+PgZcwsLAM6APt3RdZz8LgiAIgiAIgiAIgiCMVkQoP7IZkCdQP/jBDwZiNYIgCIIgCIIgCIIgCIJQFgPycOuyyy7Dtm3bBmJVgiAIgiAIgiAIgiAIgtBrBmRYouu6cF1+zLwQjh3RYJveOHsdRpHUXWTS20mM9d44jEvAps8yOYdXNrvXNx1PzCRpmrb/hsRqJpxIyzb9GFqMt+7zTRsWdV1xz13znVtJLFp3CIm5G/9CYs70I33TuXE1NMc89QLtPoyO35/4VhtdNhdYNkHXH2tKk9j0Z58lMXfOh+j6M3RZrWmXb7r9g0eRNIcrw/qzOQ2lR/mPbAr5NhiKc8uyJpA0zS1+X1syPo2k4TxcXF2IRun6K5LU95HqfM83bRjUFaIb1HVVKNBzqWBT6VoiMSOwHHWBuS5drjf7BwB0jbYhyaTf15BjHBOc5yudpj90RAzq0YgHysb60xgPDOfv6ujcRGIcwbaSK7/qGtPd0m3yaCCb3w9Xi/hcTzWJg3xpHIfuVwCwdM83FTyOOds7f3VlX2by3rlSzOmkuqzyikslGZ3iS6euT6VQ8LYneCzVslZok3s+G8o5EPSBqWVQl9+f8Tx7lub3VFZYnlslnfOunapDrCPrr+eu67k2s3ZLz2d1f6reMgCoT3hek1R2d89n9b5B9Z4B/u1Rz31XqWtBB186611XzAh/7ILOKLVOaloE2hgYSpHNNQKa35fEeRkBIJflz0/OOQqEOAL/AecsBABdL+0SUrGsBjbe0raaLxPTFhYjX8J9xMFdBwAgned9OobG+6psl/eJhf1e7zDXDAAwNcZNC6AQun7Ahc3Gw48p79KyUQhMj/46AwAVjQ4si98WuxcyLrVN7xul+2xElOsORzpDv2eRXJjvXSoVddQl7Jtvl/Zh6RHqRFYxo9x3J49Cnt5fBkk3vVl0fqJ+dsl1ZLc/W3R+tGpp0fn2m6Ud3ZHpS9i4ztwLDwWu64a6Agc6H6F8BkyMpWljQ4YoCIIgCIIgCIIgCIIgjB4GTCh/3XXXAQAOOuggHHbYYTj88MMxffr0EksJgiAIgiAIgiAIgiCMbEQoP7IZsJ5bN998M+655x4cfvjhWLVqFU488UTU1tbi3HPPHagsBEEQBEEQBEEQBEEQBMHHgPTcmjVrFvbv34/p06fjtNNOw2mnnQYAWL9+PdatW1di6fcvu2driMaLD+cMjuuunXgKSdPR9BqJcX4cDsembq5IYJx3O+NoqB1/PInZzPjuwru/I7FYhX8M956tD5M0NbUfIDEzMZnEtOpJJOY28s4KXxk2vUdibqqJxCbnDyWx9ATqIal48Vn/ugw6Ht9yqKvBZvxaHVNqSCz2f78ksejcT/qmsxXUD6Tb3njtvDFgz7KHjYKdgqHle6bjjMfKDJy/nG+jo5Mef845UlVBvQjcspWBdIZLf21paX2DxGprqCctl6PnoRvwIXFeiqqqBXQ5ZttdpmxGxCKxjg5/2x2P0564nB/G7qUDIZdv9U23d7xD0lQkDyQxzjMR9AQCQJqJVQQcXgbjtFA9TJqTBfqrABkB6JoJXYsgZnj7Lh84TrlCC7tswvLa3aAPrsLyfHbpnOeBipnefs7k9/uWSSqOKtXbEzU9p1DQGZlUytCS3tDz2dQ9h0/wXM/bnjcnzO3luHn/Mo7nNlTbgzprjrJe/z5Q/VlRxXlVsL11GZq/fsWUc1j1Wql1oj3v9760ZTyvnOoi0pV9oAX8PqpjTQvZtlzGXw/VfRoxPCdRSvF9JuJTfcuodaZQ6EQhsF9HI5FIEpGAizCsbeN8ioDfQ6eSyzeH5hv0K3aTze5h42GurGyW91jVVB3Gxjn/IwA4DnVMAvy1BaB1yr8M76tyXD4P9fz1rSfEdRM8/7uJ6ry7KO/y94pOiFcLAAzwriUH1IsKhDu6xiqd43TkY/y9puGWvgcNehCD5PLFXW9WlK+LKtz3HpVksrRnykoUH5nk5IvfB4XVH3+i4mmiVcXLGWXu9YKkm3kHXw+tu4vPB6At/nzR+e6bvy86P7Lg9JJ55BL8cc3lqd9WEAbk2+7PfvYz3HzzzWht9d8kzZ07F6efXvqkFQRBEARBEARBEARBGKl0D0scin+hfAbk4dbixYtx991348UXXxyI1QmCIAiCIAiCIAiCIAhCrxgwofyECRNw6qmnDtTqBEEQBEEQBEEQBEEQRgauAwxFr6peDC0VKAP2cEsoHzOnwdQ9R4ANOr466DtIt7xdMg0ARAzGJaP37nAH/T55Zox7W9PLJFY3bSmJ5Tu20nIEfFSTjrqBpMlufY7E9EiCxHa+upzEJs6gLzHIr/utb9opUNdCbMFnSCyyi5Y/sXYTieUPO9E3bb7zOkkDm7oXtDw95rEm6m4wF5xJ15f1p2t4cT1JUqgb3/M5U8JVMBqIRCp8HpQC40BxAudvLEZdbVGTepvyjHMo6LwDgCTjWgj6UNrTm0ma6uRBzHLUC5VIzCSxoFeF8zVkMjtJzDRr6PrjU0hM16nPIJ9v8U1zTpYdjatIrKGGeuQ4kgG3TMSsImlspp5yPkHueMZjU0kseIzT6R10OWX/cH6y0UjEiCOimUjnvX0XN/yuinh0Qs9n9bxXPVBBf53qDooorqasEk/bfr+QmffSGUoZVJ+Xpvn9gU1pz8cWN/zetDDUY6e6flIFz0WkOsgAwNS98lhmbc/nTM5bJqL795vqB8vaLT2fo0Y1wlC3L5vznGRRJc8qzd/OZAqei091OdmK4yjoKIpHvPZf9RrFrQZv+SL+GfXeIh6bGJpOPV8MIwHXzY16V53r0iEhhkHvQYDweyvu+gQAlrL/6TK8+ypsmTAXVxh5xukIhHvDbJu/bwh3g/Gur2I0Zd9l4xXGBDaec0LcZ4qLTsV2syFx3g9WzJMVdkWIgN9/BfD1K3hujZXhR4lmB5bFb4utld7GAuPxVCnlqtI16p4NEry3IXn04liUcovGmPs43/yK0l4v7nuKil5BncMqub3U8xokMf+fi85PrfnfkuvA7heKztZifD3uxty2pmQWWsi+iJQ4X4T3J6PfMC0IgiAIgiAIgiAIgiC8b5GeW4IgCIIgCIIgCIIgCEVw4Q5Jb8uwN8MKxZGeW4IgCIIgCIIgCIIgCMKoRXpuDSMT3rNhRb2x/buZZ40Zp5XEgriMc4vD0KgvIuhQAQAr7ncUcY6bWJx6h3Lt75FY9MCTSaz5jTt807UJ6vKw6g4hsZatvyGxSXO/RMsx7wi6vvc2+KbddDNJ40QtEtOz1Ddh1BxAYlpHwJPlMF4Axt9TqIiTWOPcShIzs9Shpge0EIn91CuRS3oOimxOI/NHGxEj4XNulXImAbxfgfMlGBG6jztTW0hMddd0o7pyAKAyPpOmiVIvVEfnRloOxn8VDfhuOPdL1CruNegm6NQDgEx2Ny1HwMGiMe3TjIlnkRjnEbMZL4IZ9++Plpa/kjQVFdRTZlnUoZZJUTce5+aIRsf7pq0o3We5vOekKeZeGU10+4NM3TtvNM1/PNsy3rmuuqdytldXogGXo89xo+xv0/DasLrAPteV+tuZ3c4u4wRcOFHdy7fgeG1tJOKV04wkfcvYjtce5hWfV9L0PCVGwKmn+l6aU+t6PltGjVeWiL/NzhcKbDq1Hgf3teoAU316qsMs6ANKRD3nUk7xMlkRL88Y/HVKvb4bmnp909k0AGDb3v5NxD1vXaHgXQuDLkJ1+zTNYdvI0YZpVMLU/fcE3P0SAKRS29h48FrUTZj3CvC751S49heg155uwnoVdDJtZbH1GAa9LwKA1jbqfy2FWndVKiO8z62zwPu7qkzqUwSAjgK9jgHl+6w0hHub8uC3wQS9lwMAZ4xcQ3qLUXBh6HxvE8Mt3Z/CjFD3pkq8iK8OANLMvUyQ6kr6/UKFuy8LUldX3C0asej9nkqmg35fKhczV1xsaFaX9nppbfT7nUpyLr3HC5La8FjR+YWPFPd6ZX53S8k8rDhf5/Mhbcpg4/7jbyjyEcpnUHtufetb38J5552Hl1+m8nFBEARBEARBEARBEARB6C+D+nArl8vhoYcewrHHHosjjzwSP/rRj5BOD89TVkEQBEEQBEEQBEEQBGHsMagPt6677jq88MILuOGGG1BTU4OvfOUrmDyZDikRBEEQBEEQBEEQBEEYqbiuM2T/QvkMqnPLMAwsXrwYixcvxte//nVks1n8+c9/HswsRxXpKgOO5Y3tdxgvgBn0ZGn0eWRe8W9047rMOF1mWc7d4wQcXtncfpImWXkwiUWs8STmbH+DxOpm+cdf223UV6HH6Hj1mgX/QmL5bfR8MlLzSSw33e/JMlvH0Txz1FmVn3s4iZn7qS8j6M4yJ1JXUKGCOp3MJur+eu/IJImN306rqh3xH+MD99JjXv2iNyQ4E+LyGE1EzXGIKh4U1VfTTSFQH7hzPBajD9kLNvVwVVXOI7FUanPJcnKuKK6syTh1uHCOsNb2Nb7p6kp6jmfS20nM7KXnK5GYRmKW5fegcOVifx9hLsbcBTrV6XdOxOO0DCnGeaZndpKYFaVtD9fetbe/E8iTOnHU9m8suIMAwHFtONDYc7Ab1emj+pmSUeoA7MZ2MsoKvOXztudnsqJ+l496LiSi3jmWK3h+yWjAu+LklGOiqAOjZrUXD1y3zIg3T9O862xWOY+Dzi3VB5YwPbeL6m8L+ntU/1Qq7/leLNT0fA56YlKKF8bnwlL2oQFTXcTn2VKXUcujB45vRHGsqftddeAFfWA+95KyTDTqXTOD+aiuMsdJEV/YaMR20rDdgC+JaVMAIBrlfVXZLO+M0rVwpxPXDgL0utaTPjmLjac6N7DxiEHvLwB/XVLpTPM+sTCXVMws4hoqhPyeHvIFztJ5/1KYu6tcCsiw8Qio99KbxzvIcijPlRbcf9z9/2jE1YBeqLXClw/x2nWTyfF1qptYL9yjYXWpG+5+KIimF//6vH/3k0Xn19R9sGQekUTxziBujt6zqrTvebZkHhXjFhVP0ErvwYIkZn2y6PzMH39YdH7V1E+UzAOV9WzYLXQAvEZQeB9T1sOtrVv7dgZNn94lH7csCyeeeGKf1iEIgiAIgiAIgiAIgjAcuHDgYvBf0lXuyzCELsp6uDVz5kxoWvkH07bfX28LEQRBEARBEARBEARBEIaGsh5ufec73/E93Hr66afx9ttv49///d9J2jVr1uD+++/HNddc0/9SCoIgCIIgCIIgCIIgCAJDWQ+3rrrqKt/0ww8/jHPPPRdXXnklm37dunVobGzse+nGOGbGham4sVyNdj+0Xb8HKl5FXVfc+HHHpi6BSIT6C1yHOmXSARdOVdUCkiYap2PBjYpJtBwZ6pSyO3b5prVZH6JpYtR5YGxZS9Pl6bZbndR9EGnxb6fTSL1D6Q8cT2KJN14jMXfCTBKL7vZvk2tSL8M7p1Avx8F3PEdii++jbq71J1On0IEv+o9xIcZ4PMYp7oBCO50/ytjf8iqiiu+lKjmbpMlk9/qmOR9TJ+PNqqulDoT9TS+SWCI+lcQKgX3L+akiEXpcVfdNN1w35KqA485hvBScq4JzLHF+GK69yAX2I1dWzmeWy7eSGJenHvAdZQP5AYBpUt9TNksdgLZNHSzctlckD/RNc/4x1cNlOOFunNFExIghopnoyHr+HNPxu3cqY15boR6bDONc7FlHxDs+qtNJdVkFXVjqurnzuGtd/t7epuHlozqi2jNblGX89SaiuPnyiqMnGfWuU63ZTb5lKk2vbquunJjizOoMON8iuudbTEa966Kh5B9cRnUGGREvXUHxIkYjfgeSqrHxO8Q8B2TC8l+XU1kv34juHW81/6pAnfDtR+Wz2kYYZo1vmWDbNhZcdYaR9B3Drhht74Bwh0/QTdYN5zHtJs5cJ4qtq6X5VTaeTBzAxvN5/j4gl6f3agCQZ1yUAKCDbxtth7pLu8kWWth4ROc9VmFuspTN7z8b5bnegl67bpwi6wnzcRUQvt3vJxpnGohy96K9hLt/UIkxbl8V2y59HBIJ3lPXTTE3ZU8+BXo/pDJuUnGPlGEVcdN155Glfl8VzQh3wwFALDmzZB5Oie0w6w8tuQ63bU/xcsw8ufgKUi0l80A6xJNWKO4dGyzcf/wNRT5C+fTrbYlr165FQ0ND6PyzzjoLjz76aH+yEARBEARBEARBEARBEIRQ+vVwa/LkyXj66adD57/77rvI50f/W3MEQRAEQRAEQRAEQXj/4rrOkP0L5dOvh1tXXnklVq1ahTPOOAO///3vsXnzZuzcuROvvvoqrr76atx777349Kc/PVBlFQRBEARBEARBEARBEAQfZTm3gvzrv/4rXNfF9ddfj5UrV/rmua6LM844A9///vf7VcDB5t5778Vtt92GrVu3YtasWVi+fDnOOeec0PQ33HADbrzxRnbeG2+8gYULF/Y672jKRrRQ/E2ShYBzq7NlNUljmnTsds6h/ppsdjeJWdZEWq6AVyISpevnxno3b/4liVXUHEliTsCTZTXTsuo6HbOfb32PxGINHyAxpKlTwk36fWP5js10XXvpWH97xjwSazmQ+oMqdvnHrRsZ6hyZ+hY91vq0o0hMa6Hj7OcyHST1Dv92ah3UmdGy6PCez9lcG/AMXU+5DGedqas5CpbqsuncRNJYgfoQZxxZEc4VlaN+wPHjPkJi2YA/BwDMeI1vWmN+NygwfjjO4cI5t3TdX99SqS0kDefcisWn0zx1WnczWepMSCT87hfboV6uTGY7iUXNahLjHGRBtwZXLtelvoFYjA6FjzJtYIrxqkHzH5eYVU+SqMfECHG+9IXhrDcFOwNdK8AyanpiiZjfz9SR9s4pQ/PqWNb2zlvH9ffErtC9umUqriDVMRUN3GWo57Lqi1LPe1o2xRVmeO4o9VfNpEWdj92oRh/VXVQX97fvqvPKUq57nZkdyvLFzgnvhTtppT0JLlOd8DxXqpNM1z0HUI54nJRtjXn7XfWbpXP+a2k8OkFZt7ff40p5XMffbqjHQXWf6Uq7G/Tlqe40TdOhOwPjCRnOOmOa1TADbRLXxhaDazMBIBnwnKlw1yGAXgO6qa2jzlIAyGXo/R7At89AuHMrxrStXel5N5LNeFy7MTTecaU68VQKLr//wvxjYQ6tjBviRAvxhmkhcQDIgnf8OODv5TXwb5gPltVhrvt9ZTjrzcR1OVhR/hzYwHiFg3D3PyrcvZVKxOS9eCpp7t7Al0npfh+xGPUOq2Ta1xedHzcOK5kH5xRWaW18oej8uqlnlMwDeonHAGa0+HwAnZufL55FY/FjEqs5pGQeTq6FjRcYF6wg9OvhFgB88YtfxLJly/Dkk09i06ZNsG0bEydOxLHHHou5c+cORBkHjYceegiXXnopzjjjDFx22WVYtWoVli1bhnHjxuFjH/tY0WVvu+02JJN+Ie+0adNCUgvC2EDqjCCUj9QbQSgPqTOCUD5SbwRhKHCAkAfXA5+PUC79frgFAJWVlfjsZz/b7/W4rovbb78dzzzzDGbMmIFLLrkEhx/e1fMkl8th165dmDBhAuLxeIk19Y5bbrkFxx13HFasWAEAuPzyy3HkkUfi5ptvLnkRuOCCCzB+fPG3dgjCWEPqjCCUj9QbQSgPqTOCUD5SbwRBeL9T1sOt008/vewMNE3DY4891qu0t912G9ra2nDqqadizZo1+OQnP4mrrroKW7duxd13341cLodIJIKTTz4ZN954I446ig7p6i07duzA2rVr8b3vfa8npus6li5dihtvvBFtbW2oqqoqsgZBeH8hdUYQykfqjSCUh9QZQSgfqTeCMDS4//gbinyE8inr4dbq1auhaeV1wysnfT6fx0033dQzffvtt+P0009HPp/Hiy++CE3TsHHjRqxYsQInn3wy/vu//xsXXXRRWeXp5p133gEAMnRy7ty5cBwH69evx9FHHx26/N69e2HbNsaNG4dIpG8d4JyIBifi7R/NpeO8gye2yfivclnqrHJcOuade+uCxowtD/pxdjf+gaSZ3PApEovFqNtoz45fkdjUQ67xTWd3vUTLwHgnkuM/SGLZA6kTy3rvHRILbmd0Nv0Fy930BollPnA8iVVto04vMG6gIIUY3dfvnE6dSAf9kO5vI58lscwBs3zTa06ZQdLMf0pxWeR5f0VvGQl1plDogKF73p+IQXtxOgHnR5Zxj8QTM0mM86lwfi2NcRQEl83mqDeN83xxbgeubOlOv28uEkmSNMkKOgy8uekvJBaNUmcc1w5EIlWBNHS7M8z+STCeL4fZt5XWBN90lmnHkolZJMb5uwo29aDojBcw6CqzWOeWt5wxAL3OR0K9iRgxRAK+m1Tg2EUjnosnpbibYhHeuQMAccvzn6l+IdUJ1Rnwshm6V2crlHPFtr3lVddTVzpvaEyh4HmxVM+WrpV2g3St2zsXrUBd4OoB4HeQWdFxvnl+Z5ZXBtWZpe4nADB87ZaXp+rpSgR8mOoyjuNdD1QXU0Xcfw3IK14ktZyusp2q5wvwu+9U/5za7gW9OKZZ481zC/121Y2EOuM4eTgBvw/nLQWAaJTv7cK5EYul78o33FnF0dmxjo2H1QeuHQeAVMi2VSYOYONhzq1soYWNA0BEt9h43uG9OWFOrDC/Vdg7ssK8V2F+p2JfKMOWCcsjjDxygen+Dz8aCfVm7+woojH+3DOY7zhBbIfe6/rWESnub8rnmfvzANz9k0qx+tkN911MJayeddOx/5WSeXBOVpW66Z8pOj/fRj3FQZr3PVt0fsMR15ZcR7ymhD9sNu8F7MYxSl8vtLXP8vES+1l4f1LWWbF58+ZBKkYXsVgMmUwGsVjXzZVlWTj66KOh6zqOOOIIAMDChQtx1llnYc+ePfj85z+PhQsX9qkH1759+wCA/IpRV9fVYO3dS79oqSxYsKCnjOeccw7uvPNOVFRUsGmz2SyyWa/BbmsrLgkUhJGI1BlBKB+pN4JQHlJnBKF8pN4IgiAMkHNr9erVePLJJ7Flyxa4rouZM2fi4x//OA47rPTbIFTOP/983HbbbVi+fHlPrLKyEp2dnSRtQ0MDHn30Udx00019erjV3SgbgSfGpmn65gdZvHgx7rzzTkycOBHpdBqrVq3Cfffdh6amJvzmN79hl7n11ltD30QiCKMFqTOCUD5SbwShPKTOCEL5SL0RhKHBhQN3CITypd4eKvD06+GWbdu45JJLcP/998N1Xeh6V5dTx3Fw7bXX4vzzz8ePf/zjnngpxo8fj6VLl+Ib3/gGvvSlL2HcuHG45pprQtMnk0lEo70bihDEsqyebVDJ57uGPHX3Hgtyyimn4JRTTumZPv/88xGNRnH//fdj586dmDyZvh722muvxRVXXNEz3dbWhmnTpqFpqoFozLsI6UyX6uCrk12uyzoz3JAjynSj5Yb4WIHhQjOmf4FmyQwzCr5SHAAmTKLDF+22bb7paB19DazFDP1KHXoEiel//DEtx/iFJIasv6ty8wlLSJKaXX+nyzE0zqXOgsnPBJa1abf5JNNVO7GPNo75g2m38ejWTSRmve3v1jyjgW5TtNnbbifPv8K6t4yEOqNrEd9rwA2m+3hwSC43zIMbbsils2ITSYyrM8EhuY5Nh4CmM7tIrLKSDqvlXv9sBV473d6+lpYrS4fycsOT+WEvtO0Jvi67YNMfGawoHdbX0bmRxGzmdc3qEC6g64UiQbhhjxymXkNiuRx9tX0i4X/zE3csTWU4puuEDX/pPSOh3hhGBSKaCV0ZLkaHyXrnwDjlfFPPl0LB346qwybSyrAmdehhZWConDqsRB02p54PWmBYm217X8oc1xuWbJneNS04XFgdVtva9nbP52TCGwqZye3zLWNGKpU8vSHdcaUd0APDIGxFvaC+pj6q5K8Hr+PKNTtqVoPDMPxDuNThmOpQDN+wwsC9gDr8JqrsK3UIaXAopnq81XSmUaOUxd9GFZQ2K2JWlRxaVIqRUGdS6S2wA0P7gsfeK1cLG6+oOIiNp9Nb2Tjgb39UuKHdAJBMzubLxAyNL0ZwSGs3wXa6m7AvXXmXH2II8OoNAIiAH64YrDfdZBx+SKQRMqxYCxneiJDhhw7ybBwATPAvtMojzca1kKGSeuCLcXC6L4yEeuNqgNuPTTFChq52U2oYWnDYOAenLFDpzbDEsCGwPXNLDJ9MVB5cMgfDqik6P7X3xeJ5LDi3ZB5WOz+suRu3fV/R+QCQO/rkovPNV/6v6PzIJPrdLohj8vszpMoL73P6dVrccsstuO+++3DVVVdh48aNyOVyyGaz2LBhA/7t3/4NP/3pT3HzzTeXtc758+fjmmuuwYMPPohvf/vb+O1vf4umJv4ivWbNGjQ0NLDzSlFf3/WlLNiVtjuvct4YcvzxxwMAtmzh/QqWZaGqqsr3LwijDakzglA+Um8EoTykzghC+Ui9EYShwvlH763B/Yf03OoT/eq5dd999+Hcc8/Ft7/9bV981qxZ+J//+R/s2rULP/nJT/Bf//VfZa03Go3iq1/9KgDgzTffxMMPP4w9e/bAdV1MmDABEydOxHvvvYd0Ol32urs56KCuX9RWr17t+8Viw4YN0HUdc+bM6fW6Wlu7fkWqrKwskVIQRi9SZwShfKTeCEJ5SJ0RhPKReiMIgtDPnlu7du3CwoULQ+cfeeSR2L2bfwNLb1m4cCG+9KUv4Rvf+AZuuukmnHXWWdB1Ha2trUilUrjlllvw1FNPoaOjvCFXU6ZMwbx58/D444/3xBzHwYoVK7Bo0SLU1NSgsbER69atQ2OjN9znhRde8K2nUCjg5z//OaZPn4758+f3a1sFYSQjdUYQykfqjSCUh9QZQSgfqTeCIAj97Lk1a9YsPPvss7jyyivZ+X/84x8xc+bM/mRBmDx5Ms466yycddZZALoEia+99hp++MMfYvLkyfjc5z7X63Vdd911WLZsGc4880wsWbIETz31FF5//XWsXLkSAHDXXXfhxhtvxPXXX48bbrgBAPDhD38YixYtwic+8QnE43H86le/wiuvvIJf/vKXvXaLdTPljTbEFKXAFo06FYKehUKBPsTrj3AuwvgdtIBnor3ldbogM9C5opJeBDXG1xB0CukO4wJjXmEbe426iLRa5sLLOMi0Sr9HLJeg5S8sOI7E4i//nsSSdbNIzK7xd/fedDwdLjv9FeqJiG5+l8Q6mBcxtB17OInptt8XEWulnoh3P+a5YnKZBPA0SVIWw11ndCMGXXEycP6oYCyd3kHScK4rzoOSzdCH81yeKcd/vnLOBotxphQYV0tvfA/cq6y5dqCqcgGzLH37UaqT1rdg28P5tbjXYauenm64/d3Zsd43HXQMAfy+4Hx/nI8mHptEYtms/21RFRVzSZqU4hrLMs6yvjDc9SZm1cPSLehK254vtPjSmJGans+qFyudUutFIF/lOpCMey4r1cUVdKSk0p5zMar4UVRPXTwx07eMr266iqNKyT94XqvbWlu90FtcqSdBH04i6bXtqkeqYHvX3eD2ODnvHIkrPi8j5+0D0/TXE7Xe5xV/VTFfDHet7op72x0sW04539V6Y+iecyZi+terOpZyirdJXXewLOo8KzYRmpMBylM+EYa7znTdR/jbVNulbRvA3/sA1APXTdBZppIIcWi1t60Oib/Nxh2X9wU6TPsMALmAT68brr0FgGiEd8W5IR4rAMjZfB55l/dVRTXelVUAvw2qj6938HIoA+Eu3wJ4n1zYdrsIOQ6B9MHpvjLc9UZ3uv77Cuf2LAfOMxpEc4t/9e3sXF90PgAkK4o7s7Zt/VnR+VOnnlMyj84m5ruXgqVcbzhSf3+4ZB41s0p8Zw5pw1Ti24q7UR2Tf+NmN7mGCUXnA4DZvI2NayH1a7Bx//E3FPkI5dOvh1tf+cpX8KUvfQnnnHMOLr30UhxwwAFwXRfvvfce7r77bqxatQrf/e53B6qsLJZl4dhjj8Wxxx5b9rLnnnsuOjo6cNttt+GJJ57ArFmz8MADD+C0004LXeamm27C448/jjvvvBOdnZ049NBD8etf/xpnnnlmfzZDEEYFUmcEoXyk3ghCeUidEYTykXojCML7Hc3lXlFVBjfddBNuueWWnrdxAF1vvTJNE1dffTW+8Y1v9LuQY422tjZUV1dj+dKtiCm/mr7wyBSSdpzrfwvbzAlLSRrulzju7WQGeTsWoOv0rSHBX2Uz3Jt9etlzSzfpr83BNz6alTNJmkIHzdOI0zfXaQbzCxvzS4OW9P9yvvsjtEdL3Qbasyry9xdITOd6blX71z/QPbcy1fStQcGeW1Y7/dVy+2Feb5hcpg0PXF2D1tbWUSf/7K4zX6u/ClaJnlvBc78/PbcMpn5weQbfvsP1OMrl6NsMubdvccsGe0ByZTXNGrocs/6+9tzi3uLF9dzi3nAYj9NfGIM9t7heDlaU/qLX255bXA/OXN7fnaQ3Pbe+1/bQqKwzgFdvrqi7bEB6buXy/jYsHveuWWq73vueW7U9n3vfc0s5rr3suaWeM2rPrUKgF3Ffem6pb6VTe26p9b23PbeiJq1PXsYhb5rrZc8t36rUXli97LmlHtNgHQz23Mo4GXxz+9Wjst5015kvV3wOVqAXe1gv+erqI9l4WM+tYNunUm7PLe4t1cDw9dzKBtoVXx4hPbdyDq8Viep8j49Oh3+Dmx76VsQwyn+tX1jPLafMHiR2IH0eDp7A/lFZZwCv3nzhphZEY3z5N/wH/6ZJlVn6UUXn11UXf7Ne2Pmqwn0XUuG+PwUp1XNr1+7Hi87vTc+tbHp70fmlem7lM3z7r5KcVvxNh73puQWr+P50Gun3HJXCgtKdU8x1f2XjGbsT1799+pDVm+7z/DM4AGb/zE69Ig8Hj2LTqG0Xhot+9dwCgK9//ev44he/iN///vc9b9WYPn06TjrppJ43dwiCIAiCIAiCIAiCIAjCYNDvh1sAkM/nMWvWLEyePLkntnbtWqxduxYA8JGPfGQgshlztMysgmV5T2K5MffBnh1cr4uIOZXE0krvg246OujT84oK+vaUSLTGN12dpL8OuEyvCL3EuOpu7Iy/B4sWob1jzPGHkphTR3tuwaG/lmmt+2k63f+L3sQ/019OnTj1GLWd8HES23cA/XVw9lP+8eCz/kB7rzgWdQpl5tAeRImdnKyE/qLfeKD/V+Xmw2nvrlmver9iZXOlf9Ea6WSzewC1RwbzS3rQo1Nb+wFmTXQ5y2J6CTG/inO9lYK9w7h1aUzPi3RmF4lxPbeCvyTqnMuO8fFxv1CqPWR6ypHdQ2JVgd5tXNvD9WJLJGjPxlSK9gwL9kRJpWmdiRg0z2CvHgDoaF/DrJ7pCRY4Lk3Nr5A0MebYjXbilXMR0+OIxLxtc3ItvjRqL1s96n1O6t71O9vk9/uYCe+abyvrK2S9Nj5W6++Jaux/zfusnJ9m0ruO5Tr9PRNrxi32lol59UOPe44quzNwDit1t6PJy9OKedeRSMCVaKu9sGoO6fmcavZ6zQTrYrLO6/2n9uJS64FVGeiNo1w/9aTiRdzv5RP08fl6WSt1R+2pEGwXkuOO7vnctudZL16tbFvbOn/RlHuOiqpDwJEJ3F9ELW8bNE2HFuJKGk3k8s2A5r+mVjI9PYGQ9q0IwR6DKlz7DPBtPgDEmPYWANrb/86nt2ivcsDvv1PhrlFAeA+t4r2n+J5v3LURAAohjrOoRu/VAHrt7ybrhvRKCytPkR4ZMY3vPZF2W9h42P6g8X6IqkYQVXtcWBY/IMjWSm+jXcKbVrR3K4C29rUl80gmi/eA0bVw51o33P2WypSp/1R0PudbDZKoXVh0vpMvXoaSvbIAtoe7L4/WLSVXoVk1xeeX+G4Y3VXc2QVAzFNCWfTr4dbWrVtx3nnnkTdtdOO6LjRNg20Pj/BNEARBEARBEARBEAShv7gD9gqI0vkI5dOvh1sXXXQRXnvtNVx33XWYPXs2kkn+1xRBEARBEARBEARBEARBGAz69XDr5ZdfxrXXXovly5cPVHkEQRAEQRAEQRAEQRBGFO4//oYiH6F8+vVwa/r06SgURr/HZ7hwjK7/briTuOD638yiMw6daA19a0dn+zoS47wGwTcjAkAh4GLhHBBWFX2jj2tT/44xnjoqnF3+9bs11KVlb3+NxNypB5BYpIMZc85sp1NR45vW2xgv13b6NqKaFvpWnprXqUMhs/1Zf+DDF9L1M3RMosezppPub8ek26QHRvsecffrJM3z1y3s+ZxPAfhRr4o1YkkkZyOmuGfyjLegUPD7TDj3Eve2KvY8Z/xLnGcqavrfHNXZuYmkicWo68RiPCfc2waDb6lLJmldyGZ207Iybw4KvnkRAGpr6BuKgo4Xbl83Nv+FxLi3GXFvMDICb5hMxCeTNFGL+sca9z9HYhGmXTR1+javbODtcRXMm8nUt07qThYI1+OMGiLzPomIWYnseK+9N7L+Y+LaXvd3rc1rV92IV39iFf7j4bR4bizd9bwa8Rmep8uuqfUtk1TqY2Gud95pea88iSZ/u9s+78Cez5XrPL9Reobng4xv89eb9DTvfKre5F0j8xO9NzwaKX+d102vbNoWz1mkf+xKL59Gf13cdYxXryv3eNsQ36a8abA14FHM8K4U44izez5HOzv9Mwuei6Zt3oyezxVblWuZ4b826a0tPZ+rFLdKtt3bh5HAW1ZjVYpDLOXtU7UdDb6lS3W/mBUzEenF28ZGOjGrgbwtMRniIGtufJ6N19Ufz8bTHRtC8w2+ebebsDe8hbl/rBC3Vjq9jY2bJv/2Q8fhHUhR5t4RADqy9O3EHrzLinO4AuUPycmhk41HwO9TB/y25cG7vgCg3aVvPQYAE7ynyQb/HakQyDs/RoYf6bZL3uTdjemW/srpasW/U5byUKUzxd8wCPD3SiqxOPUYByn1VkbVb8kR5tBTCfqJCSGuum7y+0v7x8wJ9O3svjLkSt8AZT5M3cQqlW++VXR+fserJfOIzD6en1FoB97mZwnvX/r1Hstrr70W99xzD/buLf26UUEQBEEQBEEQBEEQBEEYaMrquXX66aeTWGtrK5YsWYI5c+hb9wBA0zQ89thjfSudIAiCIAiCIAiCIAjCMCNC+ZFNWQ+3Vq9eDU3TfLGJEycik8ngrbf4bofB9IIgCIIgCIIgCIIgCIIwUJT1cGvz5s2DVIz3J6lqoMCrAHoIPrXlvFlahK6E8zZwToUC49GpqD3SN805HfZtfYSuP1pHYpUF6t4wawIertY9JE26hQ6ijuEkEtOa6bJgHEv5Kv+bPK29m+lyU+nY8/y7f6SxD3+WxPZ98lDfdO12Oh7f7KR+h/F/pg+F3UwriTUf82ESm7TaPxZ++yeOJmkOe9oTc2VzGlaRFKMLp9AJW1f2LefqCMTyWeotSDKupdbWN3pVBpdxbqUzu3zTtbUf6NX6OecW90tNVdUC33RHx7slywkAccYZZjM+HM7/kEn73RWZLPXPxaN0/bEYdWdls7TdCjq8bDtN0jTuf5HEqiqox892qCPFdWgddF3/b23tjHtN9adlXd7JMtrYemw9orEq5JXLQjbu3xexTu+HqESb59PZssDbj47hb+MrWub1fJ7+lrf86o96y5hZ/w9c8fYTej7bplcGK+WdIx01Nb5lFjznreOVS73j7xre8nunTfMtU7/duw4Yea+c7eO8NnHOa/58Ni70jve4nZ43THVj7j7A7xBzDK89sFJeOWv2eX6ybNxfz6v3eSu0I942tEzwyla7x7+vO2u8dmHyu97yneM8t9K+Gf5jWq2UwUx7bZ6V8tJVb/Zfb/SWlp7PsbzX7rjtXv130v42VUt4dd7ONMJxaF0ebeh6FHrAueWE+K3qJtB7EwAwq2excc7bqObLYYUsY5i8+6qpkboJi62fa9+B8J4DqRxz7wXADnhie4Md4r6ywW+zA5uN66A+VAAohDi0wtZTjEjI16awdWngf+DXAlaYsdINYN8BOqJx3niTL+HT6g1Gw4Ki8/NbHyq5Dtspfo5GIhVF5wNd/tdiFNLFvV7ROt7fp5LeQ+9/VCKMk1TFHF98XwGA21FcK5Qp4gfspmJDcc+ZU8v7/7oxGV9zkHwFf0wK+eHp2SRC+ZFNv5xbYXR2diKdHv03N4IgCIIgCIIgCIIgCMLIpl8Ptx588EEsXrwYb7zR1SPBcRycf/75qKqqQnV1Nc455xykUqP/rTmCIAiCIAiCIAiCIAjCyKRfD7fuuecemKaJI47oevX7I488ggcffBCnnnoqvva1r2HlypW48cYbB6SggiAIgiAIgiAIgiAIw0GXUH5o/oXyKcu5FWTt2rW45ppreqZXrlyJ2tparFixAqZpIpfL4Wc/+xm+/e1v97ugY5HKRheW5Y2njbj0cEQ0yzfd0b6GpDEY1xXndIhG6fhsLtbR8qZv2mIcOrH4VBKLJ6lfIp+h484jMxYHAnS7KyvOIzG3rZ3EOg6jnqzoHx4gMWOi38eS2fsqSWPZ1PvQ/qlzSaz2b5tIbHK7/xjsObSWpEk2U6uC2TCFxAAaSzbRcdeNc/2ujVgHTVOwvOfXhcEZhTykFOwOGIoHifNHBZ1PuVwTSRNxqfshEZ9BYpnMThKzGI9VRYX/bbGZ9FZm/dNIrDfl54gy/jyD8UR0dtJzlStHLke9ZEEHS8SIkzRV1QtJbP/+P5FYZcVBJGaaNb5pw0iQNJZFXQ0O49fSNdqGaIx7L9guxpj2T3XS2G5pF8Ro4LVPdcCo1GEoXis7EbhpUpons81z1+SVdJoVWCblpdsy31t3NumlSzb7PTg7D/T2qZH3Ms1VKOsONGV7ZnjrVv1XdtRLaOT87eu2g7x88jVefY+0eefF7rkB94pShNZ6z6GTrvJmuLq/cKayT5sneemaG7x4LuFfJt6mzFPcZ/F2L56u8O/rpsneNnTUmD2f67d627Pt4OD56p3Lrtr8K8XZeqj/OrJglbe+6D6v7czP8byShYTf26TnvH2VqY0hm2sD7r0Mo5mK6sMR0/1tnhHjHTdGxSR+JQbvtzIT4W18PkWvOQCQZq4pAGDkaLsJAHXjl7DxvXt+x8YLdicbD3O+uJzvEtQlpaJrvBMrAouNay6/rrAvfAZMNt4Beg/QlW/5X4FC90dImcKMOcG8x8qX2KlvZWFFeafVTpevDz5KyMcKtdRTqhJn7m+CBO89SBEYt3EQ7ruYbx3M/YdKdS+8XunU5qLzDea+TcW1edecSjH/HwBE46XvR7WO5uLzDb5edpM6ZGHJPGKvPcPGDeYeWhD69XBL0zTYtndT89xzz+HYY4+FaXadyFOnTkVTE39REQRBEARBEARBEARBGA2IUH5k06+HW4sXL8a9996LY445Bi+99BJ27dqFT37ykz3zV69ejSlTuJ4pgiAIgiAIgiAIgiAIgtB/+vVw67bbbsOJJ56IU045Ba7rYuHChTj//PMBALt378Yvf/lLnHceHV4mCIIgCIIgCIIgCIIgCANBvx5uzZ07F2vWrMELL7wAXddx0kknIfIPf9KmTZtw00034cwzzxyQgo5F2sdryMaKDzDPuX4PQj7fStJEZh5LYmb7ehLjxoBzrp3geHRu/HksMZ3EdJOOITcYt1Hmnd/4pqOV1NWlHfABGmOcWIkdtPza7JNJzN3wmm/aPOKf6XJN+0is5qn/o+mqqZspX+XvoVi/voOksTZT/1HqoDkktuOQGInNefhlEnPq/cfAjVKfwd+Wei6wfHr0d28tFNphaJ7PIcr4r3JZ/zlhM46mlpa/9iq/6uojSIzzIAR9UVyeXExjXFHpFHWrcNsZpFBoI7GqqkNJbPue35BYZYye06ZZ6ZvmXGD5PB12bkYqSaxg0/pQKPhj3Po5z0zMmkhiEbOKxAp5uj8QaMu4tk03vPqnhzhfRhsHv5CEGU+iqtG73mw8wu/aqNnrnYtV+73t3jHXa3eTrYH9Z3vra57ktfXVjZ5bx8z6r3Hjd3j56J7VAJmk1z6N2+l386QqFbeWskw07a27ZYKtLgI74i3jKnlOW+v5P9rq/Z4bM+Otz1LWrSmrbp7oXyarOMnmveCVe/90b/m90/3XwYTi1ooorrBki/c5EbjUVzR6y1S98XbPZ7fSa+ODtT091Ws32id65/W4dV691Qr+smXHe3VpzVLPXzPxXW9/Nk/2nwe2olSJtwO5DO9WGk3YhU7Yuv+cik74MJs2t+3PbNywqA8VADSDXuN7lonWsPGq2qP59HH+2pBpfpuNu67Nxh2X3l91xek9HBDuiMq7RTw/IbcgDvi89RCHlg3eE5RHmo1HQ5xeYY6uNOj1yluGP7fLXZcR+PqVHyPOLS1nQwd/juXBn0u+NMXOHwD6u/ReuFwy6e1F51dUzu93HjX1xxed37jrt6XXUbuo6PxsmvfzdWNWziyZRyn0RH3JNG6er3fdlNCoIZIu7TbVdN7XpoW0W4NNl+x9aPIRyqffd+5VVVVYuHAh8vk8fvGLX2Dnzq7KdvDBB+PUU0/FxIn0i4ggCIIgCIIgCIIgCIIgDAT9eriVzWZx/vnnY/r06fj0pz+NCy64AG+++SYAoLW1FYcffjjuuuuugSinIAiCIAiCIAiCIAjCsOAO4Z9QPv16uHX11VfjkUcewe23344nn3wSrusdhJkzZ+LTn/40Hn744X4XUhAEQRAEQRAEQRAEQRA4+uXc+sUvfoFLLrkEl19+OXbs2EHmL1q0CI8//nh/shjTVO1zYVneA8H3NDp2uOD6xyK3pjaSNNVT6dDP6MapJJbp3ExidoH6ACIRv7+G80PkmLHeWpb6r6Jx6tFxnBbftB6jXgqthfqv7Ob3SMyoOYCuv3ocieUOP843HVv/d5KmMOVAmucUuh+j+5tJLLanxTetM+WHzjxLZh7Kj9tGx1i3fOgYEtt1kN/9MPUtev4cdO23ez5nGefTaCMenwpLD/eVAIAROF87OzaQNFWVC0gsx/ijdObc15mx//l8i2+ac0DFEzNJjKt/nA8i6IbKZOn5VV19OIlxHq76mg+SWD5Htz2IYVCnXjq9mcRicVpnUinqm6uoOMg3bdspkibB7DOuHKlOeoyTlQeTWNBxxu0f1QUWbH9HK4f8cgtikUpgn9eGznrE74mD5pkx3ILntTsomvTiGb8Iypl+iLe47XlWsvW1PZ+jze2+ZQqVXr7Wu2u8dVd77iC70l9/9KxyHBze56LvD9yDWF65kfaOc8cRR/V8PnDVbt8iWpt3DXMrvG3QOpQ2P1AX7XrlGveu516qVpxvs+ef6i9rh7dPXEtpY7a+7qWpmIQwnJRX/+19b3nxQHtibvL2Y40yz6ia7eVf8Ne7yN+9fTB/+0d7Puc2rPLWdcinfcvs+IB37N47PI98ang8KAOJU+iArfsdQXZVDZs2OjnEjZPtZMO5/fT+o5tIiEMLjNMUAFL7X2fjnBsS4J2IAFBg2l+A90ICQKZA/a8AoBUx7IS5suwQ51Ye/D1LmN8qLB62fjvEARXm1QLCty8XUtYIeFdQMH1+jPTQiG/bjliEP1d7gxPihOvGzrYUnZ9IUodvkOaml4rO743nyIoVV+7kOqkvVCWZnF10PhBe97qpnn560fluofQ9v1ZVfDuc/fTeiuRzIHUkqxjtjP9UwXznjZJ52Fn+HpW7bxSEfj3cam1txcyZM0Pnt7W1wTBGv1hUEARBEARBEARBEIT3LyKUH9n0a1jivHnz8Kc//YmdVygUsGLFChx22GH9yUIQBEEQBEEQBEEQBEEQQunXw61rrrkGjz32GK644gqsX78eALBv3z4888wzOPXUU/H222/jq1/96oAUVBAEQRAEQRAEQRAEYTgQofzIpl/DEs8++2w0Nzfja1/7Gu644w4AwIUXXggAME0T3/zmN3H22Wf3v5RjFFfr+u/Gci2SJji+X9foME+rkXEfRBmPVYqOATeZdJ0Bf00VM34+UUN75HFjog3GPRSJjfdN55repssF0gCAwbgoMrOoJ6v5sUtJbOIHb/ZNO+Om0PV3Uj+GnqFj1u0Kxifw96d9ky37XyZJag/7MolFW+l4cSdCnzlXbKDHrmO8f8y+bdLlOj9/bc/nbLYN+J+bSJrRTI5xRSUCLoNYjHrfOJdW3JxJYq5DHSGcB8E0a3zTUYuev9kM9dQFlwMAx6UekKBXoLLyIJKms2M9iXH+K5dZP0c06t+GTJqeg8nkXBLLZfeSmGU1kFhbm987k0zMIGlcl3bJzjNuNI4M194F9neBcZ45bp79PJrJbnwKmh6HoXh77Lzfg+HYXlvnKOe9obT/+Zzfq+jsesqbUI6VpdS5QtAV5HjnX1b1VykauWDZ1PM/Xumdc6k2z9kVr/DXe9UxqXryYh2e0y7VTj2O3Wi6V891xfMXvKblt/+h53NBce+Zpndtdf76Y/+6lTZEU8qmuuOC9S+mbF+6fZ2Xv5KnYfg9amo+ql8urpz3Qd+ems54cx04En//P990/RteGcY5GWSdDJ7G6CaamAZLj/tiqitNxW2nbR4AYCLv1dGa3w3Nt3P/a2yc8wMCfBsJALk8dYMCQFtmCxuPRei9IACk8rv48rhZNm5qcTYOADmXd5A54D1LJni/ZpiLK4eQMoV4rwohLi6tyO/+YcOEnNA4n0ck4AcbK19iWw89EJkove8HAPuF0kOsuPsflfZmvn50U1lzZMk84jF6/18uhXxxj5TF3HupGL3wklkN1LWrktr5XNH58TlnlMwjv41+V1Exx1M/bRB3y1tF57csOb7o/Jo3+HqrYjev4eNOuuSywvuPfj3cAoBLL70U55xzDp5++mls2LABjuNgxowZOOmkk1BfXz8QZRQEQRAEQRAEQRAEQRAEln493GpoaMCtt96KCy+8EEuXLh2oMgmCIAiCIAiCIAiCIIwYugYMDr7sfaz06Bxq+uXcqq+vx/bt9LX1giAIgiAIgiAIgiAIgjAU9Kvn1te//nVcffXVuPLKK5FMJgeqTO8bMpUanJjn1Mpp1O8TDXi48g51NHX85f8jsaqFXySxwr7nSSxRQZ05qnsFAMz4RJIm1bKaxFpa3yCx+vqTSSzoLImOY96oOW4aLdd2un6zlTpzGj78HRLTWvf7pyMmSeO27yOx1o8sJrHkyp+RWOTgU33TFUecStI4f/sDieVm0HQtU6kfomJ1C4lNeX6Tf10NdBhwzWuewyXD+IVGG7adha38kBF0zABAKuCeUt053ejMcpwrStPo83/Ok2U7QQcIXS5iUMdChFlXMkk9LZFAnclmdpM0FZUHk5jDOMPiiZkkls82kljU8jvutDg9L23GA8M5vcwIdXDkIy3+9et0/Y3NL5FYwqLtUTQ6jsTAHLugzyOemE7SuIoTynCyAK+JGVW0t/0NOS3qOx+C53Eu5zl6DMO77vj8UIF9aivXCktxRLW3ex5Fdb0AEIl49wq++qu4g/IFv9tIPac6Ot7p+eyo/q5A/VXLqh7TTFr5QS6wPen0jp7Pplmt5ON5c9TyAwFXmeu5gwzDc+zl834vZiw2qeez6m6xlDqX6vT7wILTXJ62vcM3z1DcgpFIZc/npv1/7vkcdAg6rneOhPmcOjs3+qbVdIYRQ3YMuOoiM4/17TMAyEziVRvxjv1sPDuull/3Zt4lBfD3UQDQMOnTbHzbtgf4PHTefZVxGEcrgFyOvz8ohPitwsi79B61m7BeCDqoS7Yrb3r9KraeKKi3Fgh3cYW5vsLKU4ygH7cbo//2l1GFkbVhuPx+jbm8+8xP8Z4qmQzvgOumbvLRJXNo3/mrovMrmXuHIB2pTUXnV1Qz32sUCr1wh7r54j4pM0bvhXx5bH2hZB4a459Vcdp3FJ0PAIUUvR9ViTz6reIrmPmpknk4H7mAj+fagP+9quTyA81Qqd6l51bf6Fer++CDD2Lv3r1YtGgRDjyQir0BQNM0PPbYY/3JRhAEQRAEQRAEQRAEQRBY+vVw66233kJDQwNSqRTeeqv42xIEQRAEQRAEQRAEQRAEYaDp18OtzZs3D1AxBEEQBEEQBEEQBEEQRiYuXLj8SOSBzceVYYl9YUAGg+/atQvbtm1DJkPH5muahg9/+MMDkc2YY8ovVyGmOEfWM2mcwHjbrNtO0hRs6krI1deRWM3kT5BY+17q4Qo6ODqaXydpqiedQmKc/4jDsGp8026Oenu0Pe/S5RITSMzdtobE2o6l51tyl39ceb6S+iji6+n5W7WRuogKiz5DY47fTWI2Mg6OGYwLgGkc6zbTcqQPmk9isdV/8U0bVdUkTfMHDu35nM22Aa/R/EYT8cq5iCkuETtPz51CvsU3ncvRY6gzfiebcZIlqw8hMdemHhAr4C0Ier8AIBKhzi0zPpnEguUHeB9VEF2n7oSgPw8AcoyvK8H4uoKuMs7Lxfm1uHVlUptJbPzk0/1p2taRNFMnf5bE8rnSrgoAiFVRn6ARG++bzrdRj5F6TjnEpTY6yeVaoGkmCrbn8GhL+b1JqqPH8TmTPP9INOBOcxW3SlapZ6qLK/hGoVyBd/74yhK4lqhOp7ySj6F7jh3VFUXKlve8XxFDcX4F6pWaj5Pz2vBcoaXnc/D6qLp21Hlq2Wzb705Ry6NrXhlS2XB3iVrWvO2J4Hz5B1x/mby3r1TfXNTwrhV5239P4Su347mK1G0L7mtdnZcrIMe0C6MN1zDgGn73kvX6s2xam7kmAIC1rZKNu4F7IJVsiItn5/ZHQpfhaMttZeNJYzwbb7I3s/EoeHdXDrwPqJhjKh/i0DLBX9/C0oe5tdIhgsSwMoV5spwib0Er9w1pffF3jWb2zo4iGgs7nqXbhbDzqptibSQAuK07i84Hwv113XD3lUGqteJfn7Oq25Ehytz7EQrF7z9yqeJ5JKdR5zHJomVj8QQh3kUV7t5QJVYxq3gW6eai8wHA+it1FgOAa4c7/oT3L/16uLV161acd955eOEFXlrnui40TYNt83JBQRAEQRAEQRAEQRCEkY4DB07Iw/GBzUd6bvWFfj3cuuiii/Daa6/huuuuw+zZs+WNiYIgCIIgCIIgCIIgCMKQ0q+HWy+//DKuvfZaLF++fKDKIwiCIAiCIAiCIAiCIAi9pl8Pt6ZPn45CYfS7FYaL1IdOhB31HCaFtXT4phsY7+yAptnb8iKJVbz4EInpkz5EYok09eMEPTONe54maaJNb9JYxUwSs7PUH6HF/D6wXDP1ZgW9JgAQmUs9X3onHRsf+c1/kxgCY74jh9J12a1baDlq6knMMalDIb5lh39d+96hyy1YQmLN06gnqWpPnsQq12wiMTfgRNKYulj7V89jlGGcUqMNIzYehuLMiSSptyAW9fcgtTv3kDSaQfc71+/UGncoibl56oRwC/5x/xUm9Wvp0SoS0xpo/Uvsoe46PeBoidZRF5hWyZyrjdRd5zIeB82gjgy9zl9njBbqd9Brp5NYvmESiVU2U6eC1uJ3ZySTE0kaJGtJyNJp2+CatPzurrU0z2p/2UyH1hlTnbA7gdIKjxFPR3YHcpoBKL6YoKjUdmm7AwBRw/MGpXL+uqRpnuPJ0Lw9Zyj+rnR+n28Zy/DqQd7x6pLqi3ICZXFCHE4ZxU9k2f76lXd4F4fqlMrk/b4pVxkCoPqmdGXbdM1fFnW/qdug7puC428zTN2r47rG+82Cy9iuVx5D87bBVTw2YccwiOOGqyIyihNN9QvFdM/TlXP81xJ1v0W0KOwi6x8tFCqTKATa8WiIK6tt+xNsPL3jN2xcPTeCZOwWNm44vE8q7/JeHs7P2rV+3nkXCfFe6f4WsQcb/P1EuU4qINytFbauFPhtC/Nb5ZFl42HOrWLesJzGlzUMuxeeKQAojBFxdGWjC8vq+7aUOn/SNuOzVdj93o9L5jFp4XVF57eu/3nJdSRrDis632V8pyr5zN6SecAs7jE2IsXnp7bzniqVWDW9B1XJtlMvaRCduZ9W4Xy2KpFK6lMO4jaHuLXcAVGHl43ru+oNbj5C+YRfYXvBtddei3vuuQd79/aikgqCIAiCIAiCIAiCIAjCAFPWI8/TTz+dxFpbW7FkyRLMmTOHXUbTNDz22GN9K50gCIIgCIIgCIIgCMKwM1R9qqTnVl8o6+HW6tWroWn+brwTJ05EJpPBW2+9xS4TTC8IgiAIgiAIgiAIgiAIA0VZD7c2b96ME044AVdeeSVOO+20wSrT+wbb1GGbirPEpaNEC/A7NGxQp0ZEi5PYpq0/IbHxrW+SWCI5m64v6ndiRc1qkoZzYrXs/SOJFZix1vUx//hqbmy6EaNjsPWmXSSW2vkciUXjU0ksn/KLc7RX6Zh6o3ImibmWRWLZahozJvndT0Z1HUmTep66wOoS9GUM1j7qJ9r3IToufvd/+8f8T99O62Tk9Bt6PmdzbcDLJMnowrUBxb9jp6nTLdu4teRqIhY9PkG/HQDk9v+dLsz4UgyzKpCE+kucbAtd17ZXSCjdSh10uuF3K2iMdyq/ne6LSIS6v7jtjFfPJ7HM1md902aC+s2a1txLYpW7jiYxm3F6te573r9czZEkTcfm1STmMv4l26Y+hmRyLonld//evy7G75Gs9PZF3qF+tdFIxm2B7eowFH9O0N9owvNmqNeU9rzXdqpeLYA/lwDAdLzzNZhPSnGmmJqXZ1bxOOUDHg3X5wrzPqvlSQVcLAV415WIsm1uwVu+4PpdPEF3VDcZx/MUaSFen655Xtugblvwup21PZVDRPVnKdtW7Hdh1adkKK4kXevdfiu44d4gnztNOV/StnddCjqjVNdR1ulEnnGDjjY6nr0Zec3fbnWmNrNpO3O8mM8yatj43jz1AXaT1Max8YzDe6bCHEVh508OxV1AQazQ9fNxPcTdBQD5kLzDvFRmyLq0Mo0qjlbe+agx9+I96xqgnhTB42OPkR4atqnBNvlODXovjptdou3Iu8Wvyc2d64rOBwD7r18vOr9h8pml15FrKTo/eE8YxIwxjtFgHh3Uc6oSiZdYB+MUDdISuCcKUjOJ+olJNnM+WHS+/m7xLx5uR2PpPLj7ZwAOc+8nCGU7t5577jns3DkGDLuCIAiCIAiCIAiCIAi9wB3CP6F8+iWUFwRBEARBEARBEARBEIThZHjeoSkIgiAIgiAIgiAIgjBKGKo+VdJzq2/06eHWT3/6U7z8cu/kPZqm4cc//nFfshnzNE0zEI15rgruJA66AgqMb6bFpo6hhEadQvvb3iSx1o53SKwycYBv2opS/1VvicWop6djv98zFLXo+iNVM0hs/7v3kVjdtKUkVkjtJrF83u8jqpr6CbpcO92P+sa/klh1G/WUtf3d7zirnv1PJI1hxEgs2kw9GnqajiGvf+FtEmv8nv8lDpFv3krSJNd4x9dg/GejjXfWfQNRzaszhkb9Z0Ecl3rqTD3BpKTYzLK6Rp07BcfvEolHqDfFDvh9upajsZxLj5Op+csbdB8BQNSgbjyHcevYTJ7avlUklrXbfNPcdnOdf/c2v0hiEZ1x1wXWv7P5WbqcRusMdzw5drb+mcRqrQN907lCK0mzr/klbz7T3o5GNOjQoCMPz1dCXFiuty8iivPKQmXP57Tb4ltG9QOlXK+N7XQ9/5XqbQL8/inVbaNBY+NdZfDccR3w8lHLqTrDAP/1VPVvpVzqNOzG544KuacsBPxAEeU2St2nBdcrjxFwB+nqMq6yjFLOoJ/I5/OCV5/U/WkH6nsWnT2fo/A8an5vmH9D1WOsHrs8vHVbrt/zWVDmuXCQD/ExjSY2N/8fzED7ltTGs2nVc1+l1aGeUMB/Pgfh2n8ASIF3bsVD1pUGv56wL0tq/fOvp5ONl5se8Nev3qwr6JwttZ6sxju9Ii7/VScs3zCfWNc8fv+F5eFq/LqCXrqBcnkNNw2vbUMsUsnOe0MrfT21QjyO3WRDzutuXLe0X83IFb9vfG/z90uuY+K4E4vOD3oJg1ROLL48AHTseb7o/FhyVtH5uXRphVDttDOKzuecyCTN208Wna9VzSw6v3MX9TUHMSK8wyzvlOcQFN4f9Onh1uuvv47Vq6nol0MebgmCIAiCIAiCIAiCIAiDRZ8ebt1xxx245JJLBrosgiAIgiAIgiAIgiAIIw5Hc+BofM/PAc0HbrBztdALRCgvCIIgCIIgCIIgCIIgjFpEKD+MZOOAqq5wNObxbCBkg45ZT4F6dRxm3HmVS/1XLjO+PRUYp92Z3v7/t3f/UVHV+f/AnzPIDCKIgojKiqaGgpaUwW5qX8kflJmuQpkbbGi41VrZplZr2aJ5zDR/dNSTiB0xXbAfqKWeWvshpvmj9LhuZ0tFWFQEFREQUJAf8/7+wYdxZu7McGeYmTszPh8dz2nu3Lnv1/vOfc175s29rytZp/JqoWRZkG+EZFl9k7QWhUZtXCNCrdZI1lFf+UqyzLRGDADg4hfS9cxcI97YZFyvosMVaV2gpsYqyTI//76SZXVX9pvZvvFrL5x4U7KOj5m6Q51uSutT1JzaKll2s05aD6z728Z1mIRfD8k6Bcdm6//fG+oHXcdl+BrW4zGTMj4m9TiazRw3HZulNSGEmfVUZuf/pX+taTbJwWuN0verE6Q1sczVRemsktagq9IVm4nDJKpmaazm+q6B9Dg0V8OkHsa134JVv5Osc013TrLMdP8DgK9OWjvLtC5gtZDWp/EX0n3WBGl+m9Y0AoA6MzVqbtw6bvS4E7pK1mnG7Zpk3lA7CABuoBK+/1d3q1UjjGuv+RvU1jKsr3QTlwzWMf7sNqw1pFXdfn2tuD1mqEzeL8M6kj7CsF6VzuA1xjnWYLANwz7cNMgfjcnYaNg/wzY1BrWwNCZ1ugzzoFp1u26Yv7jdN9NxyNdgnxjWuKpFlf7/A9DF6DU3cLu+mc7CMWYamzCoP3TLoHZaB4Njv4PJVzrD2k7XcVX//2qDfWhaQ8j48e12DOOpN6mrZPicGhrAC/KmHnVoNjkOb4j/mV3XD+ZrODZAWt/Q2nLAcr0nWwsLW6pL1agy37aPpZpRFuJptrC8IzpZjMlSPa56tfmYfC3GZL4Wl6UaWpY0qsxvx0eY33eA5XxtslBPqkllvgaUn854HFZBAGa+y3uakhG9ofEzXx/J57u2z6ewVDetlVZIv0sYslSbzpCvznrNVXO/n0ydKdti9fngDv2tPl945dM22/A1U3PUkOlvKUkMnYe22cb1gn9bfb6hUVqX1FSXzkOsPl95wfq+CjDzO8uUud91AHDLTF1ZVxBwzQlVPGnLPjxzi4iIiIiIiIiIPJbNk1s6nY71tgBkZmYiMjISfn5+iI6ORk5OjtIhEbk15gyR7Zg3RLZhzhDZjnlD5PnsyWNvy32euWWH7OxsPP/88xg8eDDee+899OnTBykpKdi7d6/SoRG5JeYMke2YN0S2Yc4Q2Y55QySfcOF/trAnj70x91VCCF7SaaPo6GiEhITg4MGDAFrOZrv//vsRGBioX2ZNdXU1goKCkLqkyuja9LOvSWvhmNIIX8myBgt1A+ToppPW9zGttRNgpi7NZbW0BlBnnfQ6+2p1dZsxDNE8Iln23wZ5SRWqC5Msu6q+0ubruut6SpaVqaU1f3ropHWG5LisltYpa4+hfhMly/5Tv7vN14Xr+un/vxHN+AwFuH79Ojp3Nl8TwVkclTPjEAhfg7oaN9V1knX9dR2NHptbR67eIlKyrFiVL1nWyaSGww31Tck6UR3iJcsuNPwsWWbutfYyV4PEXM6by5kQXTejx9fU5ZJ1DI+vVlW4LFnWVSWt93dRVSBZZsp0v1oid5/JOTYM12mEwLeoUSRnAMflzWh0RAeTO/uYjhuButt1pWrUt+uWGI45pvVODNczZPgaa+OTYZvWWGrHUpsAoDY49nUGXxAN4zF9TVv1XMzFYqmv1vaBn5DWiAOAepXl+iHmxn7TbZtu19L25MbmK25/J9Hidl6Uq8usxtkkBPahzqPHmrEIMBprAKADzL8HcvJArvZ8n5PDUh2rDhaWW2KpXpU1lupPWdLBQu0rS9uxtL5WmP9u3WyhTpa1PLSVpc+4myrj+mNNQuAHNHj8WPO3Fyug1ZqP/8Tqtj/vGy28J65k7neFKUv141qpHXDuiLn6pYYq1ZXtbiNYF2L1+Qr1NavPy2HuO6chObXyzNe/bamLuhMXXZY3rcf5/1NpJN+pnKFJCBwQ8j8X7Mnj9ua+O+KZWzYqKSnBqVOn8NRTT+mXqdVqJCYm4vDhw6iubnsyh+hOwpwhsh3zhsg2zBki2zFviGzjjmdu2ZPH3pr7nNyy0ZkzZwAAkZHGZ3RERkZCp9MhP196VgfRnYw5Q2Q75g2RbZgzRLZj3hB5Pnvy2Ftz37bzkAlXr7bcTtv09MDg4Jbb2peVSU/Xv3XrFm7dun2r4+vXW26t2lBvPCPaJOMKUbWZdZracbNQc7e6bzTZnrl1zMUqdz1TDUJ6eruc17Wnzfb0SQ658ct1y8591Ghw2/rWvrj6SmRH5ozpsW7+PWt7HbkazNwS2ly+yWmzQUhPtzd9naXX2svcSdP2Hvvm15HuH3N9krsf5WzLHPmfF7YdP60xKnH1vsPzxqQLpvvfqN8G/TUcc9Qyc8vwNdbeZ0e+v6Zjo+Ff7nRm3lPzr2m7HdNYLPXV2j6w1B9r+8rc2G/6GtPtWtqe/NgM33udhXWk21Yqb5w51gCw+Fd0OXkgV3u+z8mhshCTrbVd7BmnbO6brXli6X2wsL7Ojjy0laXPOEu56uljza0Gy2d6yDlmnH38yyHne39bY5fazt8OhnRtXK7niO+KbfXVFW3IuyzR+rZdnTdNLY26ph1AcgaVVquFVmt8ubU9eWzPazwBJ7ds1Pph7uNjfC20r6+v0fOGli5dikWLFkmWb1scYUcEZq5Hb1d+SetMSVXJbNPM9d8yYvvxVnuK1pXa1SZgpiaW2dedty0cm2KQ78e6tutrmSeta3Tt2jUEBQW1LyAbODJn8lBrvMDsfq6RsY5cp6WLzG6vus11fmzMk9ek08dLuTlzRcY6bdfNamHmC6+sfso8JVr2PpNzbEjr57g6ZwDH5s0B1EsbkPS90sJzhmOOSY0yi/u9ScY6Jm1aI+v9lVmrxWLfAEn/ZMViqa/W9oGFWK32U85rmqw8Z2E9q7FZqGUnM05PHmv2t1FTx4ic/dzubTmKgjWNbO6brXliqW/S990qh74HMj/j/o+njzXrN/ZtXzDKz23B7Hckd+SQfdXG5IVD2pDzO7N9XJU3Go0GPXr0wJHL0tqyzhIQEIDevXsbLUtPT8fChQuNltmTx/a8xhNwcstGrTOlzc3GZyI0NracWePnJy1IO3/+fMyZM0f/uKqqCn369MGFCxdcPoh5uurqavTu3RvFxcWKFN30ZNevX0dERIR+Rt5VmDPKYs7YT6mcAZg3lnjb8ext/QE41rSH0seDku3fyX3nWONelD4WncEb++TqvPHz80NRUREaGhx304m2CCGgMileb3rWluEyW/LYntd4Ak5u2Sg0NBSA9BTBiooKAEC3bt0krzF3+iAABAUFec0HjKt17tyZ+85OarVrS+0xZ9wDc8Z+rs4ZgHnTFm87nr2tPwDHmvZQ+nhQsv07ue8ca9yL0seiM3hjn1yZN35+fm456WNPHtvzGk/AgvI2GjhwIADgl19+MVpeUFAAtVqNu+++W4mwiNwWc4bIdswbItswZ4hsx7wh8nz25LG35j4nt2wUHh6OqKgo7Nq1S79Mp9Nh586diIuLQ5cuXZQLjsgNMWeIbMe8IbINc4bIdswbIs8nJ4/Ly8tx+vRplJeXy36NJ+JliXZ46623kJKSgilTpmDUqFH45ptvcOLECezeLa/ot1arRXp6utlTesk67jv7KbnvmDPK4b6zn9L7jnkj5W198rb+ABxr2uNObp9951jjLrytPwD7dCdoK4/XrVuHRYsWGRWkb2/uuyVBdsnIyBADBgwQGo1GDBo0SGzdulXpkIjcGnOGyHbMGyLbMGeIbMe8IfJ81vI4PT1dABDp6emyX+OJVEIIt7jxKhERERERERERka1Yc4uIiIiIiIiIiDwWJ7eIiIiIiIiIiMhjsaA8ERER4dKlS8jMzMTAgQNRUlKCuXPnKh2Sw/zzn/+EEAJ//vOflQ6lXTZv3gwhBL799ls88cQTSExMVDokm2RlZUEIgdraWoSHhyMpKUnpkIiIiMhL8MwtF8vMzERkZCT8/PwQHR2NnJwcpUNyK7bun4ULF0KlUpn9d/LkSdcE7UHi4+Mxffp0pcOwCXPGOuaM83li3thKCIHU1FS89NJLmDp1Kj788EM0NjYqHZZDFBcXIzMzE83NzUqH0i5Hjx5Fr169MGPGDKxevRopKSm4evWq0mHJVlpaig0bNuDZZ5/F7NmzsWTJEty6dUuxeOTm9ebNmy1+Zn7xxRcOiSU7OxuPPvooQkJCEBAQgLi4OIffrcqeNlzR948//hjjxo1DeHg4OnXqhHvuuQerVq2CTqdzyPbtbcPVY2VzczPGjx8PlUqF48ePO3z7zuYN4+T+/fstvucqlQqbN29WOkSbmHtPdu/ejYkTJ6Jv377o2LEjIiMj8Y9//AP19fXKBGkjS8dZbm4uBg8eDK1Wi6ioKGzfvt31wZFb4JlbLpSdnY3nn38ekydPxqxZs7B3716kpKQgJCQEjzzyiNLhKa49+2fFihXo1KmT0bLevXs7M1yP0dzcjDNnzmD37t04cOAA+vbtq3RIsjFnrGPOOI+75Y0QAvv27cM777yDH374QfLc0qVLUV5ejsDAQBQVFWHt2rUICgqSvf2DBw9Cq9UiJCQEAPDf//4Xvr6+Du2DKWf3qXU733zzDUaPHu3I0C225cz+5Ofn47PPPkNCQgLCwsLg7++PixcvIjQ01NFdsag9fTxw4ADuv/9+/fq9e/fGkSNHEB8f77L425PX8+fPR0REhNGymJgYh8S1dOlSdOrUCS+//DL8/Pzw8ccfY9KkSfjuu+8wZswYxdtwZt+XLFmCfv364a9//Sv8/f3x5ZdfYu7cubh58yYWLFigeBuuGivnzZuHf/3rXw7frjO52zjZXpGRkVi/fr1keWlpKRYvXgy12v3PCWnrPVmzZg3q6uqQmpqKrl27Ii8vD4sXL0ZpaSk++ugjZYJuQ1t9Wr9+PWbNmoWkpCTMmDFDf2bzxo0bMXPmTGWCJuUocIfGO1ZUVJQYOXKk/nFzc7MYOnSo0bI7mT37p/W2plevXnVFiB6pqKhIAND/S01NVTok2Zgz1jFnnMed8ubTTz8VqampIikpSfTp00fy/Lp160RCQoL+8bvvvismTZpkUxsrVqwQEyZMELt27RKbNm0SmZmZ7Q3bKlf0SQghcnNzRUVFhUhPTxdZWVntiNg6V/SnublZlJWVCSGE+PXXX0VERIRoaGhoV9y2aG8fV6xYId544w394+TkZJGdne3UmE3Zk9dZWVkCgDh27JjT4jp69KjR46tXr4qAgAAxYcIERdtwRd8LCwuNHjc2NoqIiAgRGxuraBuuHCs3btwotFqteO6555y+vx3JncZJZ5ozZ47w8/MTly9fVjqUNrX1npjmghBCjBgxQoSGhrooQttZ61NVVZUICgoSKSkp+mU6nU7Ex8eLsLAwl46R5B545paLlJSU4NSpU1i7dq1+mVqtRmJiIhYtWoTq6mp07txZwQiVxf3jPGFhYfpLD5588kmFo5GPx4R13D/O5U55M3XqVEydOhWbN282e7nKsmXLsHTpUv3jZ555Bm+++Sby8/MRGRkJAHj33XfR0NAgea1arcb8+fPR1NSEyspKTJw4EQAwZMgQPPzwwxgwYIDH9qmwsBBhYWHo2rWrU/pgyBX98fX1RWhoKHQ6Hd5++2188sknTj+7zlB7+6jT6dChw+2vnU1NTfDx8XFJ7K3cKa8N/f73vzd63K1bN0RFReF///ufR7Vhj379+hk99vHxQYcOHRAeHu5RbdjrwIEDmDVrFjZu3AghBDIzM5UOSTZ3zSdHqqioQGZmJlJTUxEWFqZ0OG1q6z0xzQUA0Gg0bpELlljr06FDh3D9+nU89dRT+mUqlQovvPACpk2bhuPHj+PBBx90abykLE5uuciZM2cAQP8ltlXrF778/Hw88MADSoTmFtq7f8rKytDc3IyQkBCjL88EdOzYEY8//jgAuPyHRHswZ6xjzjiXp+RNfn4+iouLMXjwYP2y8PBwBAUFIS8vT398vPnmm1a3ExERgbvuukv/uGvXrvj3v//ttMktaxzVpyNHjkClUqGgoACHDx/GxYsXMXToUNx3331Ojd+Uo/rTatmyZfj73/+O2NhYp8RrDzl9DA8Px8WLF/XPV1dXo2fPni6Nsz15XVFRgcuXLyM4OBgajcYZ4RkpLS11ev7JbcMVfS8rK8OFCxewbt06VFZWYuHChW7RhjPHyqKiIiQlJWH27NlITU31uJpOnjJOtkfrZXzz5s1TOhRZ5L4nFRUVKC4uRnZ2No4cOYJdu3a5KkSbWetTVVUVAOhLKrSKjo4GAJw+fZqTW3cY97942Eu0Fn01PZMiODgYQMvgeSdr7/4ZPHgwevTogYCAADz77LOora11TqDkMswZ65gzBACFhYUApMdBYGAgLly4IHs7CQkJRsdMZWWlw2rq2MpRfZoxYwamT5+O6dOno1evXhg5cqTLJ7YAx/UHAD777DM8/vjjiI2NxYkTJ/Dbb785LM72kNPHMWPG4D//+Q8AQKfToaCgAMOGDXNtoO3wyCOPoGfPnvD398eUKVNw5coVp7X13XffoaSkBI8++qhbtOGKvicmJiI2NhZff/019uzZg6FDh7pFG84aK2tqajBx4kTExsZi+fLlDtkmOVZtbS3Wrl2LpKQkRf7Q40yzZ89GTEwMPvzwQ2zbtg3jxo1TOiS7/O53vwMA/djSKiAgAEDLH1HozsI/17tI6x2BTGecWy8pUPKOQe7A3v0zfPhwrFmzBj169EBdXR327t2LrKwsVFRUOOxOPqQM5ox1zBkCWiahAEgKHgcEBOifkyMkJARpaWlYt24damtrMWfOHNx9990OjVUuR/Wp1Y4dO/DTTz+hvLwc0dHRiIuLc0iccjmqP/v370daWhq0Wi2AliK77jLJL6ePYWFh+OMf/4jMzExcvXoV7733nmR9dxQdHY1Vq1ahZ8+e0Ol0OHjwID766CM89thjOHbsmMOLTNfV1eHll19Gz5498fzzzzt027a24cq+L1++HEVFRdi+fTvGjBmDHTt2YPz48Q7bvq1tOHusfO2111BVVYVPP/0UpaWlAG7nUVlZGSorK11ySTVZtmHDBlRUVOCNN95QOhSHmzdvHh5//HF8//33eOKJJ7BhwwakpaUpHZbNHnzwQfTt2xcLFixASEgI7r//fhQXF2Pjxo0AoB8v6c7ByS0XMfwyaqj1Vut+fn4uj8md2Lt/EhISkJCQoH/8zDPPQKPRYPPmzSgtLUWvXr2cFDE5G3PGOuYMAbcnN00nORsbG9HU1GTTtgxrVijJkX0CWs7WSExMdEhs9nBUf+Lj41FTU+PQ2BxFbh9fffVVl8blCHFxcUYTok8//TR69OiBhQsX4qeffnL4JS9paWk4e/Ysvv76a6dNbshtw5V9Hz58OIYPH46nn34aI0aMwCuvvOLwyS1b2nD2WHn58mWUlJRgyJAhkucmTJjgkZcpepOGhgasWrUKY8eONbrLq7eIiYlBTEwMpk2bpv+DVnJyssd9t/b19cXOnTsxefJkTJ06FUBLDbHWu/B6Qp00cixelugirbfqNj09sqKiAkBLYc87mSP3T+sH2vnz5x0THCmCOWMdc4aA28eBTqczWn7jxg0EBQUpEVK7eVufvK0/5twJfTTU+pl57tw5h2534cKF2LZtG9asWeO0y4Ta24az+t5KpVIhPj4eZ8+eddpkrr1tOHKsXLBgAXbv3m30729/+xsAYPXq1R45EexNWicxvfGsLVMPP/wwqqurcfbsWaVDsUtMTAzy8/Px888/Y//+/bh06RJSUlIAAPfee6/C0ZGr8cwtFxk4cCAA4JdffjH6S1BBQQHUarVil3+4C0fun+vXrwNoqfVBnos5Yx1zhgDoi8BfuXIF3bt3B9AywVBVVWX2rkiewNv65G39MedO6KMhZ3xmrl+/HosWLcKSJUswa9Ysh23X0W24Yryorq6GWq126iVF9rThyL6bu+FLeXk5AGDkyJFOqTlG8jQ3N2P58uUYNmwYxo4dq3Q4Ttf6R1J/f3+FI7GfRqMxusnKvn37EBkZif79+ysYFSmBZ265SHh4OKKioozuRqHT6bBz507ExcWhS5cuygXnBuTsn/Lycpw+fVo/+APAjz/+aLSdpqYm5OTkICIiQn+nDPJMzBnrmDMEtEwqDBgwQH/3TKDlTpr19fUYPXq0gpHZz9v65G39Mcdb+nj9+nWcPn0aly5d0i87dOiQZL0tW7YgMDAQI0aMcEi7WVlZePHFF7FgwQLZd810dBtK9L2goAAnT540WlZRUYFPP/0U8fHxDrkzo5w2OFaSoc8++wyFhYVed9ZWRUUF8vLyjJY1NDRg06ZN6N+/v9f8IeLw4cPYunUr5s6dq3QopACeueVCb731FlJSUjBlyhSMGjUK33zzDU6cOIHdu3crHZpbaGv/rFu3DosWLUJ6err+9s0PPfQQ4uLi8Nhjj6Fjx47Yvn07fv75Z3z++ecOL/LqqW7evImvvvoKQMtfo86fP4/c3FyEhoZi1KhRCkdnHXPGOuaM87hj3uh0OsllXwCQmpqKLVu24IknngDQ8iN20qRJ+rP73Jm39cnb+mOOJ/exrbzeuXMnZsyYYVTvKDk5GZ06dcLkyZMRHByMvXv34ttvv8WKFSscUhPr0qVLmDlzJqKiohAeHo6MjAyj5x9++OF270M5bRw5csTlfb948SLGjBmD8ePHY9SoUairq8OmTZtQXV2NVatWtXv7ctvgWGkfdxwnHeG9997DgAEDkJSUpHQoNrP2nvTp0wejR4/GqFGjkJCQAJVKhW3btuH06dPYs2cPVCqVwtGb19Zxtm/fPhw4cADBwcE4efIksrOzMXXqVMycOVPhyEkRglwqIyNDDBgwQGg0GjFo0CCxdetWpUNyK9b2T3p6ugAg0tPT9csWL14sYmNjRXBwsNBqteKBBx4QO3bsUCBy91VUVCQASP6NGjVK6dBkYc5Yx5xxDnfKm6+++kokJiaK0NBQAUAMHz5cPPvss/rnGxoaxJw5c8RLL70kFixYIFJSUkRFRYXL47SFt/XJ2/pjjjf0sa28zsrKEgBEamqq/jUZGRli5MiRIjQ0VGg0GjF48GCxYcMGp8fNp5shAAAHo0lEQVTU+i8rK8slbSjR9/LycjF37lxx3333iS5dugh/f38RHx8vfvzxR5e24S5jZet7cOzYMae24yjuNE46yp49ewQAkZGRoXQodrH2ntTV1Yn09HQRFxcnunXrJrRarYiNjRW7du1SOmyr2jrOcnNzhVarFZ06dRLDhg0TGRkZQqfTKRs0KUYlhBAOnCsjIiIiIiIiIiJyGZ5XS0REREREREREHouTW0RERERERERE5LE4uUVERERERERERB6Lk1tEREREREREROSxOLlFREREREREREQei5NbRERERERERETksTi5RUREREREREREHouTW0RERERERERE5LE4uUVERERERERERB6Lk1tEREREREREROSxOLlFREREREREREQei5NbRERERERERETksTi5RUREREREREREHquD0gEQWXPs2DGsWbMGBQUFmDt3LsaNG4clS5bgxo0bOH/+PP7whz/grbfegkqlUjpUIiLyUBxriOxXXFyMjIwMNDQ0oKqqCmPHjsVTTz2ldFhERHSH4eQWubX3338fOTk5WL58OWbOnIlHH30UK1euRHh4OGpqahAREYGgoCC8/PLLSodK5JYaGxuxZcsW5ObmoqKiAmq1Gu+//z5GjhypdGhEboNjDZF91q9fjw8++AC5ubm45557UFdXhzFjxuCXX37BkiVLAAA///wzfHx8MGzYMIWjJSIib8bJLXJbZ86cQVRUFDp06IBLly7h5s2bWLZsGcLDwwEAgYGBGDRoEDZu3MgfHERmFBUVYfLkydBqtdi0aROGDBmidEhEbodjDZF91q1bh1dffRVHjx7FPffcAwDo2LEjXn/9dSQlJeGZZ57BwIED8fnnn+O1115TOFoi9/PRRx9h7969CA4OhkqlwpAhQ/DSSy8pHRaRx+LkFrmtmpoa/OlPfwIA5OXlITY2Fn369DFa59q1aygrK1MiPCK3VlNTg4SEBNy4cQO//fYbunTponRIRG6JYw2R7U6fPo158+YhLS1NckZWXFwcdDodduzYgddffx0lJSXo3r27QpESuaeFCxciPz8fOTk58PX1RWFhIcaPH4/Ro0cjOjpa6fCIPBILypPbeuCBBzBo0CCUlZXh119/RXx8vNHzVVVVKCwsRK9evZQJkMiNrVy5EgUFBZg9ezYntois4FhDZLuVK1fi1q1beOGFFyTPhYaGAgDOnTuHTZs2sf4WkYmGhgYsW7YMycnJ8PX1BQAcPXoU9fX1CAsLUzg6Is/FyS1ye3l5eQAg+cFx8OBB6HQ6jB49WoGoiNzbJ598ApVKhV27diE+Pl7/rzWfiMgYxxoi+XJzc9GjRw/ExMRInmv9sX7t2jXs2LEDkyZNcnF0RO6ttrYW9fX1mD9/PnJzc1FSUoLk5GRcuHABISEhSodH5LF4WSK5vby8PPj6+mLEiBFGy7/88kuo1Wo899xzCkVG5L7OnTuH/v374/Dhw0qHQuQRONYQyXPt2jVUVVXhscces7reV199hUOHDvEuo0QmgoODkZycjOzsbDz55JNQqVRITEzEli1b4O/vr3R4RB6LZ26R28vLy8Pdd99t9GFfXFyMnJwcvPjii7j33nsVjI7IPXXr1o2XURHZgGMNkTytZ2ZZq6OlUqkwceJE3Hfffa4Ki8ijbN26FXv27MG8efPQu3dvbN++HfPnz1c6LCKPxsktcmulpaXIz89HWVkZTp06BaCl+O+0adMwbtw4rFy5UuEIidzTlClTcO7cOaXDIPIIHGuI5OvcuTNiYmJQXl5u9vnMzExoNBrodDoAQGNjoyvDI3JrK1euRPfu3VFYWIgJEybg/fffx9mzZzF06FAUFBQoHR6RR+PkFrm1ffv2AQA2b96MVatW4S9/+QumTZuGlJQU7NixQ//XQyIy9s4778Df3x9LliyBEAJAy92t3n77bYUjI3I/HGuIbLN69Wr88MMPOHnypH7Z8ePHkZaWhsDAQDz33HPIz8+HEAJPP/006urqlAuWyI1kZWXB19cXwcHB+mUajQbh4eF46KGHFIyMyPOpROuvHiI3lJaWhpycHFRWVsLPz0/pcIg8Sk1NDdauXYv8/HxotVqEhYVh9uzZ6Natm9KhEbkVjjVEtjt+/Dg+/PBD+Pj4wMfHBzExMUhOTkZgYCBqamowd+5c6HQ6TJ8+HSNHjlQ6XCK3MGPGDMycOdOovuMXX3yBd955B4cOHULHjh0VjI7Is3Fyi9xav379cNddd+H7779XOhQiIvJSHGuIiMgVamtrkZ6ejps3b0KtVqO6uhr9+vXDnDlzEBQUpHR4RB6Nd0skt3XmzBkUFRVh+vTpSodCREReimMNERG5SkBAAOs4EjkJa26RW3rllVf0p+t+8MEHGDFiBG7duqVwVERE5E041hARERF5B16WSEREREREREREHotnbhERERERERERkcfi5BYREREREREREXksTm4REREREREREZHH4uQWERERERERERF5LE5uERERERERERGRx+LkFhEREREREREReSxObhERERERERERkcfi5BYREREREREREXksTm4REREREREREZHH4uQWERERERERERF5LE5uERERERERERGRx/r/BP+DmU5T43MAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1400x800 with 21 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(len(cfs) + 1, len(models), figsize=(14, 8))\n",
+    "for i, m in enumerate(models):\n",
+    "    with open(f\"Data/{m.lower()}.json\") as file:\n",
+    "        data = json.load(file)\n",
+    "    var = np.array(data[keys[i]], dtype=float)\n",
+    "    b = np.array(data[\"beta\"], dtype=float)\n",
+    "    sps = np.array(data[\"sps\"], dtype=float)\n",
+    "\n",
+    "    if convert_to_log[i]:\n",
+    "        var = np.log10(var)\n",
+    "\n",
+    "    for j, cf in enumerate(cfs):\n",
+    "        sps_summary = sps[j].mean(axis=2).T\n",
+    "        im = axes[j + 1, i].imshow(\n",
+    "            to_imshow_orientation(sps_summary),\n",
+    "            extent=(min(var), max(var), min(b), max(b)),\n",
+    "            vmin=0,\n",
+    "            vmax=1,\n",
+    "            aspect=\"auto\",\n",
+    "            cmap=cmap,\n",
+    "        )\n",
+    "        axes[j + 1, i].set_xlim([min(var), max(var)])\n",
+    "        axes[j + 1, i].set_ylim([min(b), max(b)])\n",
+    "        axes[j + 1, i].set_xticks(xticks[i], xticklabels[i])\n",
+    "        axes[j + 1, i].set_yticks([0, 0.5, 1], [0, 0.5, 1])\n",
+    "\n",
+    "        if i == 0:\n",
+    "            axes[j + 1, i].set_ylabel(f\"{cfs[j]}\\n\" + r\"$\\beta$\")\n",
+    "\n",
+    "        if j + 1 == len(cfs):\n",
+    "            axes[j + 1, i].set_xlabel(labels[i], fontsize=16)\n",
+    "\n",
     "fig.subplots_adjust(bottom=0.15, top=0.95, left=0.1, right=0.8, wspace=0.3, hspace=0.3)\n",
     "cbar_ax = fig.add_axes([0.82, 0.15, 0.02, 0.8])\n",
     "cbar = fig.colorbar(im, cax=cbar_ax)\n",
-    "cbar.set_label(r\"F-Score\", fontsize=12, rotation=270, labelpad=25)\n",
+    "cbar.set_label(r\"F-Score\", fontsize=16, rotation=270, labelpad=25)\n",
+    "\n",
+    "for i, m in enumerate(models):\n",
+    "    visualize_networks(i, axes[0, i])\n",
+    "    axes[0, i].set_title(titles[i])\n",
     "\n",
-    "plt.savefig(\"Figures/Fig2/generative_models.png\", dpi=1000)\n",
-    "plt.savefig(\"Figures/Fig2/generative_models.pdf\", dpi=1000)"
+    "plt.savefig(\"Figures/Fig2/generative_models_sps.png\", dpi=1000)\n",
+    "plt.savefig(\"Figures/Fig2/generative_models_sps.pdf\", dpi=1000)"
    ]
   },
   {
@@ -93,7 +241,59 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "fig, axes = plt.subplots(len(cfs), len(models), figsize=(8, 8))\n",
+    "fig, axes = plt.subplots(len(cfs) + 1, len(models), figsize=(14, 8))\n",
+    "for i, m in enumerate(models):\n",
+    "    with open(f\"Data/{m.lower()}.json\") as file:\n",
+    "        data = json.load(file)\n",
+    "    var = np.array(data[keys[i]], dtype=float)\n",
+    "    b = np.array(data[\"beta\"], dtype=float)\n",
+    "    sps = np.array(data[\"sps\"], dtype=float)\n",
+    "\n",
+    "    if convert_to_log[i]:\n",
+    "        var = np.log10(var)\n",
+    "\n",
+    "    for j, cf in enumerate(cfs):\n",
+    "        sps_summary = sps[j].mean(axis=2).T\n",
+    "        im = axes[j + 1, i].imshow(\n",
+    "            to_imshow_orientation(sps_summary),\n",
+    "            extent=(min(var), max(var), min(b), max(b)),\n",
+    "            vmin=0,\n",
+    "            vmax=1,\n",
+    "            aspect=\"auto\",\n",
+    "            cmap=cmap,\n",
+    "        )\n",
+    "        axes[j + 1, i].set_xlim([min(var), max(var)])\n",
+    "        axes[j + 1, i].set_ylim([min(b), max(b)])\n",
+    "        axes[j + 1, i].set_xticks(xticks[i], xticklabels[i])\n",
+    "        axes[j + 1, i].set_yticks([0, 0.5, 1], [0, 0.5, 1])\n",
+    "\n",
+    "        if i == 0:\n",
+    "            axes[j + 1, i].set_ylabel(f\"{cfs[j]}\\n\" + r\"$\\beta$\")\n",
+    "\n",
+    "        if j + 1 == len(cfs):\n",
+    "            axes[j + 1, i].set_xlabel(labels[i], fontsize=16)\n",
+    "\n",
+    "fig.subplots_adjust(bottom=0.15, top=0.95, left=0.1, right=0.8, wspace=0.3, hspace=0.3)\n",
+    "cbar_ax = fig.add_axes([0.82, 0.15, 0.02, 0.8])\n",
+    "cbar = fig.colorbar(im, cax=cbar_ax)\n",
+    "cbar.set_label(r\"F-Score\", fontsize=16, rotation=270, labelpad=25)\n",
+    "\n",
+    "for i, m in enumerate(models):\n",
+    "    visualize_networks(i, axes[0, i])\n",
+    "    axes[0, i].set_title(titles[i])\n",
+    "\n",
+    "\n",
+    "plt.savefig(\"Figures/Fig2/generative_models_sps.png\", dpi=1000)\n",
+    "plt.savefig(\"Figures/Fig2/generative_models_sps.pdf\", dpi=1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, axes = plt.subplots(len(cfs), len(models), figsize=(14, 8))\n",
     "for i, m in enumerate(models):\n",
     "    with open(f\"Data/{m.lower()}.json\") as file:\n",
     "        data = json.load(file)\n",
@@ -101,29 +301,37 @@
     "    b = np.array(data[\"beta\"], dtype=float)\n",
     "    fce = np.array(data[\"fce\"], dtype=float)\n",
     "\n",
+    "    if convert_to_log[i]:\n",
+    "        var = np.log10(var)\n",
+    "\n",
     "    for j, cf in enumerate(cfs):\n",
     "        fce_summary = fce[j].mean(axis=2).T\n",
     "        im = axes[j, i].imshow(\n",
     "            to_imshow_orientation(fce_summary),\n",
-    "            extent=(0, 1, 0, 1),\n",
+    "            extent=(min(var), max(var), min(b), max(b)),\n",
     "            vmin=0,\n",
     "            vmax=1,\n",
+    "            aspect=\"auto\",\n",
+    "            cmap=cmap,\n",
     "        )\n",
-    "        axes[j, i].set_xlim([0, 1])\n",
-    "        axes[j, i].set_ylim([0, 1])\n",
-    "        axes[j, i].set_xticks([0, 0.5, 1], [0, 0.5, 1])\n",
-    "        axes[j, i].set_yticks([0, 0.25, 0.5, 0.75, 1], [0, 0.25, 0.5, 0.75, 1])\n",
+    "        axes[j, i].set_xlim([min(var), max(var)])\n",
+    "        axes[j, i].set_ylim([min(b), max(b)])\n",
+    "        axes[j, i].set_xticks(xticks[i], xticklabels[i])\n",
+    "        axes[j, i].set_yticks([0, 0.5, 1], [0, 0.5, 1])\n",
     "\n",
     "        if j == 0:\n",
-    "            axes[j, i].set_title(models[i])\n",
+    "            axes[j, i].set_title(titles[i])\n",
     "        if i == 0:\n",
-    "            axes[j, i].set_ylabel(cfs[j])\n",
+    "            axes[j, i].set_ylabel(f\"{cfs[j]}\\n\" + r\"$\\beta$\")\n",
     "        if j == len(cfs) - 1:\n",
-    "            axes[j, i].set_xlabel(labels[i])\n",
+    "            axes[j, i].set_xlabel(labels[i], fontsize=16)\n",
     "fig.subplots_adjust(bottom=0.15, top=0.95, left=0.1, right=0.8, wspace=0.3, hspace=0.3)\n",
-    "cbar_ax = fig.add_axes([0.82, 0.15, 0.03, 0.8])\n",
+    "cbar_ax = fig.add_axes([0.82, 0.15, 0.02, 0.8])\n",
     "cbar = fig.colorbar(im, cax=cbar_ax)\n",
-    "cbar.set_label(r\"Fraction of correct entries\", fontsize=12, rotation=270, labelpad=25)"
+    "cbar.set_label(r\"FCE\", fontsize=16, rotation=270, labelpad=25)\n",
+    "\n",
+    "plt.savefig(\"Figures/Fig2/generative_models_fce.png\", dpi=1000)\n",
+    "plt.savefig(\"Figures/Fig2/generative_models_fce.pdf\", dpi=1000)"
    ]
   },
   {
@@ -131,7 +339,61 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "n = 50\n",
+    "\n",
+    "A = erdos_renyi(n, 0.1, seed=0)\n",
+    "e1 = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "\n",
+    "A = sbm(n, 10, 0.9, seed=0)\n",
+    "e2 = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "\n",
+    "A = watts_strogatz(n, 6, 0.03, seed=0)\n",
+    "e3 = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "\n",
+    "A = truncated_power_law_configuration(n, 2, 20, 3, seed=0)\n",
+    "e4 = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "\n",
+    "k = 2  # each node belongs to two cliques\n",
+    "clique_size = 4\n",
+    "k1 = k * np.ones(n)\n",
+    "num_cliques = round(sum(k1) / clique_size)\n",
+    "k2 = clique_size * np.ones(num_cliques)\n",
+    "A = clustered_network(k1, k2, seed=0)\n",
+    "e5 = [(i, j) for i, j in nx.Graph(A).edges]\n",
+    "\n",
+    "H1 = xgi.Hypergraph(e1)\n",
+    "H2 = xgi.Hypergraph(e2)\n",
+    "H3 = xgi.Hypergraph(e3)\n",
+    "H4 = xgi.Hypergraph(e4)\n",
+    "H5 = xgi.Hypergraph(e5)\n",
+    "\n",
+    "node_size = 2\n",
+    "dyad_lw = 0.5\n",
+    "node_lw = 0.5\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.subplot(151)\n",
+    "pos1 = xgi.pairwise_spring_layout(H1, seed=2)\n",
+    "xgi.draw(H1, pos=pos1, node_size=node_size, node_lw=node_lw, dyad_lw=dyad_lw)\n",
+    "\n",
+    "plt.subplot(152)\n",
+    "pos2 = xgi.pca_transform(xgi.pairwise_spring_layout(H2, seed=2))\n",
+    "xgi.draw(H2, pos=pos2, node_size=node_size, node_lw=node_lw, dyad_lw=dyad_lw)\n",
+    "\n",
+    "plt.subplot(153)\n",
+    "pos3 = xgi.circular_layout(H3)\n",
+    "xgi.draw(H3, pos=pos3, node_size=node_size, node_lw=node_lw, dyad_lw=dyad_lw)\n",
+    "\n",
+    "plt.subplot(154)\n",
+    "pos4 = xgi.pairwise_spring_layout(H4, seed=2)\n",
+    "xgi.draw(H4, pos=pos4, node_size=node_size, node_lw=node_lw, dyad_lw=dyad_lw)\n",
+    "\n",
+    "plt.subplot(155)\n",
+    "pos5 = xgi.pairwise_spring_layout(H5, seed=2)\n",
+    "xgi.draw(H5, pos=pos5, node_size=node_size, node_lw=node_lw, dyad_lw=dyad_lw)\n",
+    "plt.savefig(\"test2.png\", dpi=1000)"
+   ]
   }
  ],
  "metadata": {
diff --git a/run_dynamical_inference.ipynb b/run_dynamical_inference.ipynb
index 4438c35..7faf1f5 100644
--- a/run_dynamical_inference.ipynb
+++ b/run_dynamical_inference.ipynb
@@ -16,12 +16,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
+    "import time\n",
+    "\n",
     "import matplotlib.pyplot as plt\n",
-    "from lcs import *\n",
     "import networkx as nx\n",
+    "import numpy as np\n",
     "from scipy.stats import beta\n",
-    "import time"
+    "\n",
+    "from lcs import *"
    ]
   },
   {
diff --git a/sbm.py b/sbm.py
index e40eefa..e0f19cc 100644
--- a/sbm.py
+++ b/sbm.py
@@ -25,19 +25,19 @@
 n_eps = 33
 n_b = 33
 
-n = 100
-k = 6
+n = 50
+k = 10
 epsilon_list = np.linspace(0.0, 1.0, n_eps)
 beta_list = np.linspace(0.0, 1.0, n_b)
 rho0 = 1.0
 gamma = 0.1
 
-tmax = 1000
+tmax = 2000
 
 # MCMC parameters
 burn_in = 100000
 nsamples = 100
-skip = 1500
+skip = 10000
 p_c = np.ones((2, n))
 p_rho = np.array([1, 1])
 
diff --git a/test2.png b/test2.png
new file mode 100644
index 0000000..3d30dbd
Binary files /dev/null and b/test2.png differ
diff --git a/watts-strogatz.py b/watts-strogatz.py
index 3436128..11cfc8f 100644
--- a/watts-strogatz.py
+++ b/watts-strogatz.py
@@ -31,12 +31,12 @@
 rho0 = 1.0
 gamma = 0.1
 
-tmax = 1000
+tmax = 2000
 
 # MCMC parameters
-burn_in = 250000
+burn_in = 100000
 nsamples = 100
-skip = 1500
+skip = 10000
 p_c = np.ones((2, n))
 p_rho = np.array([1, 1])
 
diff --git a/zkc_frac_vs_beta.py b/zkc_frac_vs_beta.py
index 65b32cc..7672182 100644
--- a/zkc_frac_vs_beta.py
+++ b/zkc_frac_vs_beta.py
@@ -22,7 +22,7 @@
 # MCMC parameters
 burn_in = 100000
 nsamples = 1000
-skip = 2000
+skip = 10000
 p_c = np.ones((2, n))
 p_rho = np.array([1, 1])
 
@@ -39,15 +39,16 @@
 tmax = 1000
 
 arglist = []
-for i, b in enumerate(beta):
-    for j, f in enumerate(frac):
-        for k in range(realizations):
+for f in frac:
+    for b in beta:
+        for r in range(realizations):
             c = f * sc(np.arange(n), b) + (1 - f) * cc(np.arange(n), tau, b)
             arglist.append(
                 (
-                    f"{data_dir}/{b}_{f}_{k}",
+                    f"{data_dir}/{f}_{b}_{r}",
                     gamma,
                     c,
+                    b,
                     rho0,
                     A.copy(),
                     tmax,
diff --git a/zkc_infer_vs_tmax.py b/zkc_infer_vs_tmax.py
index fdf6746..c5a0836 100644
--- a/zkc_infer_vs_tmax.py
+++ b/zkc_infer_vs_tmax.py
@@ -15,7 +15,7 @@
 
 n_t = 33
 tmax = np.logspace(1, 5, n_t).astype(int)
-realizations = 10
+realizations = 100
 
 A = zkc()
 n = A.shape[0]
@@ -26,9 +26,9 @@
 rho0 = 1
 
 # MCMC parameters
-burn_in = 250000
+burn_in = 100000
 nsamples = 100
-skip = 2000
+skip = 10000
 p_c = np.ones((2, n))
 p_rho = np.array([1, 1])