diff --git a/corrigendum-james-2019/corrigendumpaper_figure10.ipynb b/corrigendum-james-2019/corrigendumpaper_figure10.ipynb
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index 0000000000000000000000000000000000000000..de6d8804a9bde82622e242802445f13437b0d5dc
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@@ -0,0 +1,171 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 10 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load surface temperature"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct = np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.timmean.npz')['ts'])\n",
+    "ts_ldct = np.array(np.load('./postdata_npz/ts_landControlTRACMIP.timmean.npz')['ts'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_niceplot(ax, modelname):\n",
+    "    ax.xaxis.set_ticks([-120, -60, 0, 60, 120])\n",
+    "    ax.xaxis.set_ticklabels([''], fontsize=11)\n",
+    "    ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "    ax.yaxis.set_ticklabels([''], fontsize=11) \n",
+    "    plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \\\n",
+    "             transform=ax.transAxes, backgroundcolor='white')\n",
+    "    plt.xlim(-175, 175), plt.ylim(-0.98, 0.98)  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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/Dxs2DE8++STef/99nHDCCQl/56b9iCooKED//v0BHJ6J+Y1vfAMDBw7EQw89hJ/85Ccu1pLoSGBva0ea7KRijZ82bRpat26NW265pfkzoidn9+/fjy+//BLt2rVLOk6yCWckuSMidJMdHoXZ/sR+tsyTKtFtqEp4U719r/KXsjm+s+fo0aNx77334rzzzkN+fj7uuOMODBs2DEOHDkVeXh5mzZqFcePGYeHChfjoo49w2WWXJX2fsWPHYs6cOfj444+TFnTRRowYgenTp+PBBx/Er3/965Sv69ixI95++200NTW1aAC2b9+OhoYGlJSUNL+uoaEBO3bsaBF8fPbZZy3er7i4GK1atcIPfvAD3HzzzUk/0830XBFKSkoQiUTw+uuvJ70pYfTfousVv07RfysvL0/7Ob///e/xwx/+ELfddluLf6+pqWk+O0T64iUWwYtub85KOHyJ69lnn42XXnoJ27ZtQ9euXVO+trGxsfkG/7H3sos1f/58zJw5M+nvnLYfqfTv3x9ZWVkpH7JA5ASDJLKJijW+uroaW7ZsSXoS9dprrwUA7Nq1i33crzFI0p9q7U0Q/eDY0EaVMElVji/inTp1KgYNGoTevXujR48eKCkpwZw5c9C6dWu88MILeP7559G+fXv8+te/xuLFixNmw0Tl5ORgxowZzbNcZCstLcXEiRNx8cUXNxf5ZM4++2zU1tZi8eLFLf798ccfb/49AJx11lkAgCeffLLF65566qkW/52fn4+zzjoLa9euxUknnYT+/fsn/MTPvJHtoosuQlNTE/79738nXZ4+ffoAAAYOHIi8vLyEdXzzzTcdXVYWiUQSAqolS5bg3//+t7iVIbKQag16WKZMmYKmpiZcf/31OHjwYMLv6+vr8ec//xmvvPIKtm3bhptvvhmvvfZawk9lZSUef/xxNDQ0JP0cp+1HKsuXL0djYyMqKipc/y1RPAbIZAvVavzcuXMT3jv6tLcZM2bgtddeQ2FhoZiVNwgvbUtN5dlHKvc1g7q8LXpDctVnAoXF8Qyk7Oxs3HPPPc03ZI7Vp08fvP3220n/bujQoQkzWUaMGNF8b6Eg3HHHHRlf88Mf/hD33Xcfrr32WmzZsgV9+vTBG2+8gdtuuw0XXHABzjnnHADAt771LZxxxhmYNGkS9u3bh/79+2PFihV44oknEt7z7rvvxpAhQ3D66adj7NixKC8vx969e7Fp0yb8+c9/xtKlS4WvazqDBw/GDTfcgJEjR2LNmjU444wzUFBQgP/85z9444030KdPH4wdOxbFxcX46U9/iv/93//F6NGjccUVV+CTTz7BjBkzHF3CdtFFF2HBggU44YQTcNJJJ+Hvf/877rrrrrRnkUgvnIUUnsqSXOsHkoMGDcIDDzyAm266CaeeeirGjh2LyspK1NfXY+3atZg3bx6qqqrQqlUrZGdnY+rUqTjmmGMS3mfMmDEYN24clixZgksuuSTpZzlpP1588UU8/PDDGDZsGMrKylBfX481a9Zg7ty5qKiowOjRo32vMxHA2UhkB9VqfN++fVP+rrKyEkOHDnW8bjbijKSWVA3VdGpXgpyZH/QlbjqEVo4DJNW8t6MOp3RtI+z98vLy8Nprr2HatGm466678MUXX6C0tBQ//elP8d///d/Nr8vKysILL7yA8ePHY+bMmTh48CAGDx6Mv/zlLwmX5J144on4xz/+gV/96lf4+c9/ju3bt6N9+/bo2bMnLrjgAmHL7sZDDz3UfE+O+++/H42NjTjmmGMwePBgnHbaac2v+5//+R8UFBTg/vvvxxNPPIETTjgBDz74IH7zm99k/Iy7774brVu3xu23347a2lr069cPixYtws9//nOZq0ZkDYZIwPXXX4/TTjsNc+bMwZ133onPPvsMrVu3Rq9evXD11VfjlltuQdeuXXHRRRclHVgAwA9+8ANMnjwZjz76aMrBhRMVFRXIycnBr371K3z++ecAgPLycowaNQo/+9nPEp5USuQXQ3wynUo1nsRgkMTwSDTTgiQdwiMAiDQ1NTWFvRCZHHV0Kf6yakOLf8uKAKd05bXGNlu77Us0Kr/3mk3XBscEqgVIlwyqwrZt21z/XWlpKTZv2pT0d3ltxJ0kUBlrGXnFGkxBqejZ01ONT9aHB+zqx/up8Sbfi8XGIElkgCQqbDClHQmqX2xqgOSmH6/tDCQiIptxFhIRcSYSkdm8DCh1CZ1sm5Gk6uwjUwTVL1btqW1hYIBERJ5x8BIuhkhExDpMRLGchE4qDX5tCJIYHgUj6EvaVDqOgsQAiYhIYwyRiIhIJww8w5cqZApzQBwbspgSJukQHJl4EiLI2Ug2hkhZYS8AEemN4UX4TGv4iUSJPvLX9GOEdZh0YfqxqDtVHl8+oLy4+UdHui072xDvwj5WwsAZSEREBuBMJLKN24FostebdMyYeBaZiMITPzAOa6ZFfBCj2uwknYIiIhEYIBGRLxywEFE8XepCpuU0KWAiIvIj3UyLIMOlZIFNEKGS6UERT0KEr3r7Xi1mNGkbIDU1AQ2HGpHdilfh2ajhUCOa+NhromYmDnSbmpoQiUTCXgypdKxlNnUwna6rKscfBwCkE9Z4c4Q9W8n0cCcobEPCp0OIpG+ABODdT/fA8HaHUmhqOrwPENlOlYGrDHUHDgh5n/d2yNlGvTt672RFl0mlWsZOo3dutp3sY5YDANJFtMZH66GXmiqrvouiUo0PUtiBEhHJo22ABBwuyDak+kQq42AlHCYHRyL52U4y92u3AyWZ3zeP32DFb28Z3y3rMqkqur8nu2+fl/22keMALcQGSgyT/JM5Q4XtR/hUn4WkdYBERGQbBkfOedlWqnaaZNwAWtV1tY3pN/cmSibVPh7776xRZmKY5I/KwYIqgmxDbdyHGSCRL0E17uxMq41nK+TjMeCMTduJx5y5vH63sbM7iHTnpG/BJ5DqjZe6uRNUeMR+vTOy9lfVQ0IGSORI2EVE1uez0yEOGxs5uI+mJ3L7cP8l3XEfJtOwb2GXZANnhkrqBwo2krlf8hI2Ei5VQ5pqIMWGNzVeOkAq4D7nDLcTEZHd2A7Yx8lA2tSQSeUQgezFAElRXkIfBkVixG5HdlTc4ZlCZ7hfucPtRURkL7YBlInfoEWVAEqlwEjXPr0p9ULlWUgMkBSj44FqMoZJJAr3H2+C3G66dpaIiIgyib1flKi2zpS+TZiznFQNCQD2i8KmaojEAEkhPEDVFsSjl03AxuYI7iNEREQkk5s+l+j+mU19Y6cD+UxBk4qBQDo69euD2P+Cnq2mYojEAEkRuhyYdIRNjaZbtj8JiPuCGNyOREREyanYx+LMff0CIid0CJFM3t9UC5EYIClA9QOSnGGjmciWIInfNxEREQVFh34V+8VmUTVECnLfCvNeWSqFSAyQiCRgo9mSSUESv0+zqdpBIiIiAvTsS7FfbAaV+khB70eq3GhdBQyQiCRjo3mE2/WX1UjZ/j3ogN8RERFRS6oM3v1gv1hvKoRItoZHqsxCYoBEFKBowWWD6UzsdvLbWHGbExFRUFQYZJFZTNyf3NxPVMb6s2/oTVj1LYzvS5XwKEqFEIkBElEIGCS55zVM4jbWD78zItJFunol8iQIOWNi/8qmfSfodU33eSbtQzIEfXsKhkeHhR0eAQyQiELFabzeOOmUc3sSEZFoXtsWhknyxW7XypJcbfsB3D/UkOx70HWfkklmkBTm9lYxPFIFAyQiRbiZxktHcDsREelFxTCFbYneVNmP/DJlPUzFvnpqqbaFk31ape2ocnCkwuwjgAESkbLYSJGNuJ8TmcPJ8ZzpNaIH1CrUmKDv80L64L2z9MK+emY6bRNVwyNVgqMoBkgKYGNBTnAqLZF8rMVE/olsm5yc1TapLVRxdpaudL2MLX6ZuR/ow9S6ZAPVwiPVQqNYDJBcknGzNTYM5BVv/kdERKoIst2xoY0L+ia1JjJhhgj3Az3pGmDaSKXwSOXgKIoBUgy/hdnLDBE2BiQLwyXSUVgdLtZiotTYZoSLAYI4Og/qecWCfnTe32ygQnCkQ2AUT4sAKTtL7vvLLMapHifKBoDCZOJjbskcQXe4WI+JUmM7QabReVDPMJFIjLDDIx2DoygtAiRAzoA3yOLLQk8q0rkTReQX6zJRemwfSAdearnul7ZxNpIedNuvbBFWeKRzaBRLmwApSsSAlwWX6AjdO1FkJtnhJtsBIiL9iarlOp5QY4ikNt32JxLPlMAonnYBEpB8NhILKJEYvLyN3JJVf2V06NlWEDnDNkAtrF2JRG8THUMkUhP3I3XJnn1kamgUy/HdhcaMGYPS0lK0bdsW5eXluO2225p/V11djYEDByI/Px9VVVV4/fXXm3+3bNkyRCIRjBw5ssX7ff/738eMGTN8LXxlSW7zDxGJFXt88RijZILYN0S+P/djIpItvu1M9uPlPaklmScuuL3JL+5HahIdHlV1Lkr4sYHjGUg//vGPMXfuXLRp0wbbtm3Deeedh549e+LSSy/FsGHDMGbMGCxfvhzPPfccLrnkEmzevBnFxcUAgPz8fDz33HOYNGkSevfuLW1liFTX2NiI2n37wl4MT7p93Q5u/SobWVmS72xPSgu6U+R3Vhw7cRSUxsZG/OOTnejVQd99rrCgwIgan+lJpH4u3xb11F4nn8n6lSiIbeLkMzjLxC5e+vDdUuxGH+4Mb9/JbWNGjXdLZHhkS1CUiuMA6cQTT2z+/01NTYhEIti4cSOWLVuG/fv3Y+LEicjKysLw4cMxZ84cLFq0CKNGjQIAFBUV4ZprrsG0adOwaNEi8WtBpInaffvwwAMPhL0YvowdOxaf1OWEvRgkkaoDFg66SHX/+GQnXv3DfLwa9oL4oHuNd3LsJ3tN7L+lqjFBXjLFGpZItW0S9iVvqm0P05nQhweAs6+8Dm0K7ApARIRHtodGsVzdA2nKlCm45557sH//fpSVlWH48OFYuHAh+vTp0yLJ7Nu3L6qrq1v87dSpU9G9e3esWrUKp512WtrPmT17NmbPnt3837W1tW4Wk4iIXAqqIyqivnPQRSribIRw6Xq5q2k1K77G79/nvw9v2jYSgdskOLxZud78hkcMjhK5CpBuv/123HbbbVizZg3+9Kc/obi4GLW1tWjXrl2L17Vv3x67d+9u8W8dO3bEhAkTMGXKFLz6avpzc+PHj8f48eOb/7u0tNTNYhJp4Yc/+AEKCgvDXgxH9tXW4vEnngh7MUiQMDtCMus7O3ikkh/+4Ado/+XmsBcD9V1PzvganWs8j3u1xNf4o472V+NV/36DfvCI6tvDJLHf6YaauhaXo8nuw/u5xC3ZJdSpanx8uGJiWBJdJ6dBkonbQDTXT2GLRCIYMGAAXn75ZcyYMQNdu3bFnj17Wrxm9+7dKCpK3Pjjx4/Hb3/7W/ztb3/zvsREGkn3pMCCwkK0TXKcEInEziaRPPGDxg9qjtwfo6CwEG0P5gW9SIl2fpD21/Vl/Vv894c769CmQP1L2FjbzKbb9yvzcjbdtoXunHyPovvw8Z/ppwa3LfK+vyQLWUwJVExZDxW4DpCiGhoasGnTJpx//vmYOXMmGhsbmy9jW7duHcaOHZvwN4WFhZg2bRqmTJmCHj16eF9qIoXxMgYKk40dTRvXmcLFOh8eHu/6seU7Ex0i2bLdVODkexN142vd2g8bZimZLlktSTfJIRNHAdLu3bvxwgsv4JJLLkFhYSFWrlyJBx54AL/4xS8wdOhQ5OXlYdasWRg3bhwWLlyIjz76CJdddlnS9xo7dizmzJmDjz/+GCeccIKrhSVSWaYGIX76K5GXp7zEdlBt7Vzq1vkic3DfC4+t9U532ZY97MlviMT9PFiZvqvY8KRHgZj3lM3pPZu83huIgZJeUu0LfmqNowApEolgwYIFGDduHBoaGlBaWooJEybglltuQSQSwQsvvIDRo0dj+vTp6N69OxYvXowOHTokfa+cnBzMmDEDI0eO9LzQRCpx01CE+dhOCp+XYp3paUG2SRaoEcnktMaLfEQwtcTjnHTi5L5I3KfD5SY48voetqjevjdtiBTdlgyagierzjgKkNq2bZv2xtd9+vTB22+/nfR3Q4cOxWeffdbi30aMGIERI0YjUVK2AAAgAElEQVQ4X0oiBbHhIDfYWfSPx5w3fGKdN272t1SDjfj7C3nReusa3++R8f07HC/1M7wI+xHpRH7F1lg+ySt8fkOj2Hvc6XKvuCBkCoYYHPmTqW4k269l1xrP90AishU7tOQWO43+pTru2ClPFH9de7Kz4dxmqak24yg+hJIdKIUtdt/kfkqm4L4cHj/B0eotu5r//ylHZQ6MRLQLDFzs5rZWhFFbGCAROeQ2OErWiDi9fprMwU6jPwxsxeG+mJqI2UYA8M623egoYoHSiAZKJgZJ3EeJSBSvwVFsaJTKBzX7kL0v48s8iV0ulcMklZdNV7q0gQyQiFLwOnBNN7iInf5Kesv0RAPyh9vSG24350ScFIi1essuBHm/4Pqy/kaFSLp0nIlIbbKCoyBOEMTLdH+hZGTXUgZHxACJKI6M4IiInGEA4h63mTuiZhvFcnLGWgbTQiQiIq/S1Xanl6nFW7dpBwCgb0XQ0dERXkIkWVRZDgoXAySirwUdHH24sw79i1iIdZXs3jvJbvrKe/Q45/UYtHEbO9lWtm2TTEQHR5lCo6BqPEMkIrKZjBlH0eAo9r/7leU7/vtUBpQXu/4bwHmIJKvdZ3BEsRggkfW8DFo524iAxOAijCchmMLPLBpu45a4PVoKOjgKgwkhUqog2MaAmIjSc1LXRQRHLT5zyy6c8fX/f2fbbqB1m4zLkO6zvYZJQWFoRKkwQCIrBTXbKL6RcvIEB9JLun2Jgx5neAmWe9y3MpPxNLVM4VHsAIPcS/e0RYD7PZHtwgiOZFm9ZZfQEMltfazqXJRyWzE8CocuJ0wYIJFVwgqOosK4AR+Ryhoaw14CMo3o4EjFGUe20qVzTURi+QmOgNR13Elw9NnWXehSJme2kKgQSVRdZHBETjBAIiuEHRylwvuYEBGJEXZwtG7TDrBay8fZSET2CCs4+myrWicO0gU7DI/MosOJEgZIZDRVgyM3eIkUEVFqYd3jyMmZax06grritiUyk4iTAV4vV0sVHH22dRfKjs1P+PfY95L1pDbZ4RGDI3KLARIZyc89VUTeDyOdD2r2oW+Bv6LNM7FEHEjaym2dz1TbRQZHwJEaz/1TnlT7ALc3kX7CDI4Ad7OONmzZhbrI/oT3lxUiidSrQy4++XpTMzwiLxggkTH83og3qOBIBg5Q1MSnsgWHx4AdZD01U3R4FI/7Z7Ay7Sf8LojUIHIGqehZR164DZEy3f8oiEvXSD1O+gxhXqHCAIm0JuLpTTKDoyDPRnCAogfe94rIHZkzSt3UdL9P6WGNVkf8PsXvRR4+KIHiBTl7VLd7HcVieETJODl+ZF+hokWA1NDYcmOl2xg8428+kY/8lh0exf6vDtNaSQ28NNEbDtDNEcSMUtmzjpLhPqomBkqpiehzOe3Dk7lkzB7NVMPDCI9Ezj5KhceQHUTX3lS87E9aBEjx3G5QDsb0JjIwigoiOEr27/3KEm/AR5QKB5vucZvpR3SNVzU8ilJtH60v6w/sdffgCNPxZKScvlfs+9q2PW0k80E2fsIjFWYdeb10jccNiealT6JlgOSVap02Sk5Wp8Xtk9UAceERkVesW+5wW6kv7BofZnhE+rJllpKs4zPZ55i6DW0m+yE2Yc46+mLbbqBT6t/zSgPSldvj1qoAidQls8PiJTgC5IRHG7bswhmeliYzdsTMpVpHW7XlIXUFMRiVMaNUdngk4xiqL+uP1lvXCH1PSs3E+9kFFR6RWVR58rEu9zvi7CPSnXUBEgc+apDdSfEaGgHenrDmdbBRvX2vso/QjA5E6sv6h7wkBPivXV7vQZHqWFVxoMHaHj7VAqNYqoRHUeyPmE+Xy7XCquc8BvSk4gNswg6PnM4+8vPUNSJVWBcgUThUHlTE8hIe+RVdbjYalImbSyjSHXMqhj9+cRASvKD3oyBODAR92ZroATRnIalJtaDExDaA5Ao6NALE1W1R4VGnru2AJJtBVHiUjkr1g4gBEkkTVAcl7OBI1IBD5dlIpCYOAg5jxyo4OoVGQDgnBdzSZZYK+RP298z2gtwI64nHUSJmHckm+p5HHAOQLqwMkFQ7E2QKnQKjKL+DC9GNF0MkIndYy+ULcuApqr4HeSmyKKL6JpyFpLYggyQdQiP2ydURdmgEiJ8tKuvStcryYjS6eL2f2UdEqrEyQALYYImky+Vp8VQLj4jIOdZv+WwJjlTCvok9RH/XOoRFpBYVAqMoN7U77PCIyHbWBkhA+NOJdWdrcORHZXkx8EFoH0+kPdZr+XQMjgD9wyOA+zd5o3t4xOA0OKL2lbBCfx1P3nL2EZnG6gApig2XczpephZL1ABDVgPm9fI17r9kOu7jwdA1PKKW/FzG9kHNPvQt4KXUQUjX/0x1LMa/XvfwKIp9cXnCuAF2OkFcYszZR0TyMED6GmcjZaZzeKTDmWne+4goEWuyeVSt8X0rOmp5dlsG3o8vXJmeosm6SJn47bOrUqe91GSGR0RyMUCKwQY5fKo0WOmIHmCwk07UEmtxOHhZcrhU2+8ZIgWDgRCJYkpoBDA4IlIZAyRyRPbAQvVL1mRh55zoCA6izGVrjdcdQyQidal2aVqUn7rM4Cg5Bs2kEgZIX+NBmZqu19dzYEGkF3aQwqNrnafkvN7/KB7Do3BUluTyMjZKSrWbYANi+tsMjoj0wQAJDI/S0fWSBllUvD+GjP1X1OCDyC3ejy54DI8OU7G+e8HwiHTEmp+ayBrN4IiI/LI2QGJDRUSkLp5hDwbDI0qG4VGwktW7TLOQUr0u9n14fOtL9HcnKjgyJTSq+fAfaX9f0quf0M8jMomVARIHJc7o3PGQcfmaKWeniXSRalBEYuhc4yk5EbOPji8pELAkJIKbEMnP34eN9f0wGd8Vg6PMYZGTv5EdKDG0J51YFyCxkXImqA6HTpevEVF4GCaJpcOgMhPe544oM11CJJsxOErOT3jkJTSSYUB5sZD3UaHfw9mNFGVdgESZ6V4UbBpUBHH/o9Zb1wAdjhf+OURe8fI2f4Ku8TqcKAh7hqmI/Zn3rtNXuu/f9ADI1lou8zsVUXNF9aXDmHWkW3ik2uwjJ8dk/GtMrlGUyOoAiWe0EwVZAHQYVKiM+yzZLNPNtp3WMpuOozA6eLLqvMgTBWGHRyIwPNKDl3oj4rhVNYSyqf4C8mswZx2pERyJFuRx4vWzon+nYp0h8awKkNI1oHzyjxmXrcmafSRigNG3oiNQ/5WApZG3n3IQQrrxW7dsqP1hdehk1HrRNZ7hEQXBa30xeTBmcs2NpdPTjMMMjgCzwiNRs490CI+SvYfJtYssC5Cc7Mw2XhphwqwjHS9b83qjUtH7JwcfRGYGSSYFR4C5s45M2ucoOLr2V3VcZi90Co4AhkeiiLxsTeaxouqsRNKDVQEStWRCcATID4+EzT4SIKzwqPW2d4R+LpGqdB2UqdAR1CE4AtQKj/wScQKA97kTJ9l9QfzOPko10NOlTmVn6bOsItgYHAFm1dV4Tp/Apkt4FMTncSaS2RggWcikG6jqEB6JwFlHRGqKHSC6qa2ijmkVOme61HhV6nksP/sB63h4nH5vfr7f2L8VdWmJCvXCZAyPvPF702xZnAZHgLPwSMXgSLZk68M6lP571mH7MECKY9qBG4s3UHUn7MFGEE9Y84odUTXxEatiOJ01EN3GXra1Cd+PLsEREH49TybI8Ojgh2ub/39Or1M8f66NTO4XkhgMjrzT/Ylrus86CqMvosMYwu13kW593L6XDk+4Y4D0NZM7CAyO3AtzsKFycET60KGBVlmmEMn2bcvwyJ+wwiNyxtQ+od+nVlIihkfeqTrzCMg8++jkru2Q3SbzvUxVDI5UoGIfVdSMUdFkz+LysuzWB0imH7SmhEdB3iQ7yMGG7P2PwZHdbJg6nOryMZFncOJvsG3aNnRDp+AIsDc8ShcaHfxwLWchxTG9L5iJ7evvley2wNTgCNA7PHLCSXAEyD32YtuL1vsPSPscr1ToU+la+9wst4x76GkbIPmdWqbrDpNJmAeh7sERIH+wcXLXdtj2gdSPaMbwyC5e78mRqmaoeDlcunWM7Ygke52Xs13xr1dlOwRNZmgE6PkUTa9khkecaeSOqf1ACgbDI+9MDo/CDI507feHMRvJpvovY121CJBEPMEh0+BCR6oMZnS/XC1KxTPVXunaiJjKyVkWJ5cWyKhdTt5TZs2Mre8ign5T6rsKdA6OVKjnx5e0vLxBVnjE4MgZ1gYSheGRd7aHR3woTnJBhEhsA8TRIkASyYSdh8GRGXp1UOPsQ6rBBy9xcCZ+po6TWTJe3990Nq2rynQOjgA1wqNYfvdrhkf+sK6QLlQMjgD1aqoMfsKjoIMjU0KjeDJCJNZ/OawLkEgM08IjExpHEffGSPY6BkmJUjVIbKhIdwyPxJIZHlF6rMckg6yTuCqGR6Lrqaqzj5yER13KioGmlt+9STOOVLlCx2+IpMI62IABErliWnBkCicNitcz1Qc/XAt07e3pb03DholMJDs0ijIxPIoOiLqUOXuUsxsy73nEG2kTqYPhkXclvfqh5sN/+Pp7pyrLi4Gv72Maf4ly0tdrNutIpRApKlOYpMLy2ogBkmZMu0m2ClQ7Y+0Wb6wqFxsn/aly2a+KTKnrutfxeKzr/rBukwwy2hKGR/55DZFEPG0tFR3Co2T7syohUpSb20RQcBggUUa6X9KgigHlxWj4ap/Q9wxqkFH/0QYh76MDNk5mYGiUXtDBkYl1PqzLMUTVdc5CInKO4ZE3QdXJaBjkNEiSFR7pcslaOqoGNSouk60YIGkkjAGR6eGRzmeteW8MsdgwmYPhUWphzDgy8dI1mXjTbCK1qN6m2B4exYoNhuLDJJkzjgA9Zh05Fd3n2TemZIQFSEOHDsVbb72F7Owjb3n88cfj73//u6iPsBrDI/F0HnTIvOcRke6iHR7VO/1BM+VytVhh1fH4gdFnW3cJuQ9S2IMGImpJh5tmi6BznzgV2YGRDRgkUTJCZyDNnTsXN954o8i3JEOFHR6ZjuERUfIOj9vBQKpOk47hVFXnIl66RlZQ9RIM0ouOdV4Vqj5xTRaTZh8lI+JYYE02RyCXsD3zzDOYOnUqdu3ahVGjRuGNN97AjTfeiBEjRjj6+3379qHfqacm/PvZZ5+Nu2bOBABMnDQJr776asJrbrj++uZQ6/LLL8dHH3+c8Jo777gD5557LgAk/RwAeO7ZZ9GjRw9s3rwZV3zve0lf84+vZ1v99a9/xeSf/Szh992POw7PP/88AODBBx/EvIcfdrxOdQ1Nza+5/IfX4XvXXg8A+Ml1V+HfW7ckvM9Ppv8vBp15NgDge2cPSrq8sx59Et3Ku+OTLR9hwqhrEn5/4NAh3Pbs4c9fv3I5np7zPwmv6VxahlvnzAcA/O3Z32Hp848nvKbqG2fg6gn/DQB4atYvUf32/+Grg4davKbPeVeiz7e/DwBYcsc47P7sk4T3GTLipzi27+DD73PrZUnX6YLJd6P90cfiy//8C3+588dJX3P13D8CAHZ9uBofv3h/wu/zOh6DE6/9NQDgPysX4z8r/5TwmvY9+6P7xTcDAD768334cmNisT960CU4etClzev0x52fAo2NqN+3BwDw9NNP466ZM13ve5GDXyW85t0XD2/3V95YhYl3/BZNBw+0+P1xXUrw/M8P7zMPLnkdD7/0RsJ7nN33eMwc/R0AwKRHFuHVdR80/66xqQk76xoxYMAAjB07FoDcfQ8Ann11JQBg5fJXMed/fp7w+9KycsyZ//Th1/7uYTz/+PyE13zjjLMw4b9vO/yZv5yKt//vtYTXxB5POteIWGHUPa/Cqu+xNTV2f5w6ZnjS5XT73d37wLyE17jdH2UcYwcOHam9sup7rK8OHpJa3w/EtSX9xj8GQH59Lzj+XLSr+vbh9/nL7ajf8xk+bd0KWWjC+qbDNbqwtAf6l3338HIJqO9LnnkKP5u/OOH3fup7JCcPAHAoOxc9evTAaaedBsCc+v6jsTcY0QeMFVa/1itd+/CxbQQgp88x9yfXYfu/tya85qqfTEefQWcCAKZ+7+yky/vjWY/iqG7l+PyTLXjq1hFJXxPt7/5r3Qq8seA3Cb9v16UbLvzZPQCAVhv/itV/firhNW77u//83TQc2PEpAKCh/kh9LvnmCOQfe/iea/96Jnn//Ohv/wyt2x2N+t3/wX9euiPpa479/t0AgP3/WouaNxck/L512y44+oIpAIDd1S9hd/XLCa/J79YXJYNHAgBqVjyG/Z+sS3hNu6rzW9T4T7/6Au+1zkKrg7UAgAVPPIkJM25vroci9734dqD7scdg8f2Ht8f9Ty7Cg08ntgPnDB6A2VN+BAAYf/u9+NuK1S1+f6ipCT1OqGyu8Zdffjne2/hRwvvIrvG52ZHD66R5PbS9xme5erUHH3zwAa677jrMmzcP27dvR/v27bFmTfpkdfbs2ejatWvzT10dzwAELXaQYaoexxQF/pk5raQfcuQRzzQGQ5X6npsdaf7pWZyDypJc9CzOEf7+REE7dMD5MRV/soHIL1VqvB/x4ZEt8nJaCX2/7NZi34/0Z+uxZZpIU1OTkG9y6NChWLVqFXJyjnTAv/vd76KsrAzvvPMOFi5cCAA4dOgQunTpgrvuusvxDKTS0lJs3rRJxGJqLegBrqxLHVS6pCGoa777VnTEgPJi9CgAXv3D4bNWY8eORdsi9yFWGPc/2nuwEQ9s2A3g8HJ/UiduoK0aTrH1pqJnT2zbts3139lQ31ULJ4O8jM3UG2gnuzyjS1kxcpvqcEbd2wCAs6+8Dv3LSly/d6oa76Su71x75ImZHU6pdPR5Ob1OwY4Ox+OBBx4AcHi52xQEf4JFFtZ0MWyp8UHWaxWfwgaYcTNt0bqUFaNfWT46fnB4RlN8nVT9ErY9+w/gnj+/CeDI+COsvglrsprc1Hih0yFmz56NL7/8svnn0Ucfxaeffopjjz22+TWtWrVCaWmpyI8l0sYHNft8v0d9WX8BS0KpqDbYJ/1VluSywyRJ34qOYS+CMmLDIzqCNZ1UVdVZXFA7oNz/TfyjRNdVEQ8YUJ1udSbM5d1QU6fd9qKWpF9Pc8wxx+Bf//pX838fOnQI//73v2V/rJFMGYSIbOT8MnXwkdPrlLAXQWvRxo0NHImkSg0XOWjJJIh6b2odJ3FYy0lVokMkUTW3b0VHobWVIZJz9WX9rThZzLqsL+kB0hVXXIGXXnoJS5cuRX19Pe68807s2qX/VMYwRQchsgciVZ2LpA00GCL546RhERkite7u7FIIIspMhSApWt+DCJNEDmpSET3Y8SLsyzQ6nFLZfNmam8vXiChcomux6CCJnBMZitgQJLk9WRt7gjf+h4IjNEC69dZbUVhY2PzTpUsX9O7dGw8//DBGjRqFzp07Y8eOHejf3+yDIUhBBUkyBDGocCqIBlL0vUCCDpFIPWww9aZCkATIPVkQy5Ygya9Utd1pPXcaHhFRojBrsqpBkqi62qWs2JqZSAyS3MkUBDnZpgySgpMt6o2WLVuW8nfXXHMNrrnmyGP+Bg4cKOpj6WuxDZ6MgyfaoMm4+eqA8mIlbqzdt6JjaDdk9aq+rH/Gm+3FDjq83Fw7p9cpOLDf3if1bKipaz6+Yv9/mGKP8dj/r8KykXux+1eYYgcuMm+0HR3QyKz7sYMdGXW9S1mx1BlHqWp7Tq9ThD8kgYhaCrsmi67FsSGSn7obrat+a6rs+hmED2r2IXtf+pPs0f1HVN8sNkSScaNtVcRuNy/HoOjtTomEBUikDplhUlXnImkhEhD+E9pMDZGiMp3B5sAkuWSBTVgNU7pjWpWAi7wJe9ASK4gwKai6L6uuOxkEqXxMcoYqUXrxx24YtVn0CVwRdVdEkBSdiaR7kBT9XjIFSaLbASczklpvXdP8uvq9ewG8KXQZZPN7vIXdXzcZAyTDyRiQyBxYqBAkyT5zLYObECmd6ICCQVJmohqm+I6F6A4qG1D9yJ5R6pbMGaiAuLPj6YR5csDr4IGzkMRSOcwjPYQZKKk4K0lEf1mnIGnDll04I8XvqrfvDTxEysT0y96cSnWcsj3wLpQA6a233grjY60m68y2rIFFEAMKJ2SGSR/urEP/InHXukcbCpFBEmXmtlMQf0lc7P/KFP1cXvKml2TfkSmXVSQjs/bLCJHSzUL6oGYf+hYc3mYML9TA74FECqs+qxwm2RAkpZJpNhJP6KmF/WHvOAPJMrKDJEBumASEFyjpMjNJ1Gwkcs7JoCTVfYtkLIvT33EwpScTL6tIRkaYJKOOOx34eDneZM5COvjhWitPFrDukUxBh0rxYYXfmuy37vqtsbE32dY1TFJxNhKlx+/EHQZIlpJ9n6QomfdLAvQPk2SdjbDlRnsqYeNDYQnzkrcggiRAfpgEiLkxLJoyPyVGVJ3gpWxEeggyVBIZKKkSJukYJGUKkUg9nCHmHAMkYpjkk5tpu+9s241kD0KVWbQ4Iyk4qabDqnAfm1QYfJklrP1O9FnwdGTVfVFPGMrE7THHGi4e6x6FLahQSVRt9ns1gJ/6qmuQlC5EYg1SV/xxmG7Wt63fIQMkakHmU4BsCJP8klWURN4fiZxROTSKx46MmWyamSQ6SFItRCIi8wURKskIlNzUXxFBEhB+mPTOtt04tWdBxtcxRNKfm1tDxDP1+2WAREnJHngEFSapEiSt27Qj4XKJTGTMShIVJMXfjJn0x46M2VSYmSR7VpJuIZIbfCKbeKx5pAPZoZKIGu0lTOK9ksgG6Y5Vr+1PsvcMui1jgEQZyZyVBMg9U61akOSFjE4uL4mgZDigskPYYZKOT3CTQYXjzdYbaUep8B0QuSUrVBIxO8lLv1vUE9yAYMOk1Vt2JVza5xZrkL3cThRwOhMqiP2JARI5pvOsJNFnp4PGBoaCwn3NLmGESVWdiwK5tM1vzfcyC+mLbbuBTr4+1jXOQvKHNY9MIOPpnH765WHMSgLUnJnEG2pTOsnuueTn+A2iTWOARJ7oOCtJtdlIH9TsQ98C5w2K6ILAWUiUCp9EYacgw6QgQiTTsGbLk+mmqUS6ET1Lyc/sJD9hkp9LiWPDJEBOoMRZSCSaiP6X7H0qS9o7kxUqS3Kl7qC6JPYq3SuDSBTe58pesms7cLi+y6zxfjv1Ogn7MjTTBj+sfWSiaF0XUd+j9dttDR9QXuyqNvet6Oj6HqKpdCkrbv4RxaZ2hvQisx3jDCQSIoint4k6W63z5Ww8S0FB4z5ntyBmJcmcjaR6vVfl+Gq97Z2Uv3O6fKY9XEGV74ZIFlGXvXnpp7u9KkDE5W2xupQVK3OJG5Essq4oYIBEQskcbIgcZKg+qAgCL4Ugp3hJGwF6nSgQxe19kDp1bQeYk6G4PuYzvV63gIm1j2zitw/v5Z5JXm+6LSpEArxf2uZ09lGmWVqsLySb6Jts8xI2kkbGJRC6XNJGZKINNXXaDQBJPJmXt7HGeyf6MjYZ33EQl0YSkX9+L3Vze3lb2Je22YZ12F7Rvryf/jwDJJJOdIdR1H0zbL5umbOPgpWqI6brYIpBEgHyOqA2hUhut2F9WX9JS3JErw7y65JutY/1jmwWdJAUhmQhUrr7JZ3ctZ2j97WpPSP9eO3P8xI2Cozoyx9UeoqPqOm0mejU4baBl+8j2d+IflpKUHh5B6l+3xsRlyoHVd9tJOPR47LwnkhkOz+XuLnps7u5zYTI+hy9L1J8aGTjDCWyi9vjmTOQKHCingAB+E/2bZ6FRN7pdvZcNpUHfSQfL1cmUUT2D2Tg7Euiw7wcp25mI6k0EymqUsIyqVrriNJhgEShEvUoUXJO1OVrtjZ6Qa23rduX9GXyPivqXhuxTN5eIvjtH8Q/slzkI8zd3EMi0+sYSJHOvAZJNrBlPck+vISNlOD38jaVLmcjc3HAR5SeyEuVWdcJSL5P6XLpW+xyuQmR4i8VYttDqnN7ObOT+u70UjZeZkwULM5AIqX4vVGfF7yMjVIRecaayCaijhdVzuCqNDgJ4kbaKkpXi1PdRy7Z7J+gLkPz8xnxyy7iqTlEsrntKzmp70H10T/bugufbfV/zzydsF9LXnEGEinJ641ZwzpjrdLggsQIu2HlQIF0p/oNtsMkq77k9DoFBz9cK+W9dSZzP0w2Q0j258UKu63KpKGRD1xwI9NtBnQIkN3UfhVmmsYGR8luok1ELXEGEinL66wPL2esOQvJG3YG5eG2JROYsB/zBIEeVNjXwpglpNPsJF2WM2itt65p/nHzWqd/EwY3ffhM/XYnfXSv96lLNuvItplIRG5pESDFnr0g+wQVIhERkXh8UAKZTpVgRJXlyESX5dSF6kGSEyJCJJGShUgbHNyPicgGWgRIUWxs7BXEUx68Nk62n53m/YHk4XYlU+i4L6/btEPZ+p7uMpacXqcEuCSkIl0CGl2WUzZRl6WpGiSJqv+Z+uluZyFlmmkUvS9Sste9s213xvcP+9I8Ilm0CpAANja2UzFEkvF4Zx3pOEDUAbcrmcLPvhz0QxJUDY6I3NDl8jbVl083KgZJTuq/brNNnTwhTnXsY5IX2gVIUTo0iCSH7BBJZarv82yI5OAsLzJFGCGSikTUcs5CIpPY3q+vL+sv/AbZqgVJTvoyfi9lC/qkbqYQKdMsJBX2eT5tmNzSNkCKUuHAo+DJeFRoVJCzkEyc3soGSB428GSCoEMkWx+SwBCJYunSX9Zl1pQsMp6ypmKQlE5V56K0tV63EClofm6yzj4mOaF9gATwrIXNVAqRguJ3Xw/iEbCxZzPif8g/bkfSneohUhADENmzkACGSKQ3W8MkGbORAGgVIgHpa71qIVI6QZ4sTvYdewmR2M+kdLLDXgCRNtTUcYe3UPQ7d9LBiDZGTop5tHFyemahb0VH3jfDATffF6XG7Ui6qyzJ9bz/VnUuct0pH1BerNyZYqIg6dxP9uOruG8AACAASURBVNPW6brOsSGSqPAn+j5BnEzMxEk/Jl2t91vTu5QVZ7yRtlOrt+zyfPJZ1ePSTxtNZjNiBhLAtJTUmI3k9oyH13t66DALKRMes2JwO5LOVJ6JxFlIRGaIncmk64A4OitJ5BPbVOHnvkjparpKl7KFfcuK1tve8fR37GNSMtoHSNyxKZab/SHIEEmlqbSqUen41flSOx2XmQjwHyJ5edqm05ret6Kj9PrNEEkcXes3BUv3QElUmKTSvZEyHbuyQqQuZcHdsiJdiKT6fsjaSrG0DpC4I1MqbkIkp4MPr4MOWYMPE2YhRalwLKuwDH6xgSdd+d13TZiN5JeTECk2SIr/byJb6RokAS3DJK/9uvibLocZKmUKkVLVelVmIvm5pE6HfZB9TAI0C5DCuhmvzmcpbOZ2NpKbIMkp1c9cqxQikTgMkkhXqs9GkkVU/8JJTbchOGL9Iy9M6O+LCJTC5nU2Urp6nq5+O5mF5OZeSX4uZdOhX8/6SloESNlZ4e6ssZ+tc6NiKxn3RnIz6CA9mHhsM0giHYmYjeQlSHLClBCJ7GViWyeD7kFSVHyg5PRHBaIvafMbIokS9v2QRGDf0m5aBEgqiJ35ZMIZCtu4DZFkzEZSlSodBZKHQRLpSFSQJPrEgAmXsyW8vuvJkpYkPKx5JAL7+uFK1w54uaQtqBApzEvZgurXs8baiwGSB/Ezkti46MHtYMTpwMPrbKTjSwpc/008UcVbpTNOYTL9WBYRJMVfSsxwimQTsY+JPjEQf3NtEaGS6OPIa03/cKc5/RrWJhKBJ47D5/WStmS8hEiiZyiZcCkbwBorgo796uywF0BX0S82eoBvqKlT/sumw6KzyJyKNkyZin20ofJz1sEp7mvkh9tjIPo3RGGKb3e9EF3PVQyORIluZ1WXzykv9Y4oFVOOCx2lawNS1fZUtbxvRUes27Qj6ed0KSt2dc8jVUVDpNZb13w9y/TNcBeImjmpH+leE3abxhlIPsWmhLo/FtQmXtJd2TOS0gkqlU51xkLnyxvcbjNbjl2n20SHMyFkF5EzkjLVdJn3uwvi2BJxFtqWmkjkBo+L8GS6rC2ZZHU800wk2fdFkj0LKYpXGKhFRLsfdr+cM5AESXaGK9mBH/YXTi15uUG6nzPYJ3dth20fJP98VdSX9Q/1Ea6yiJi9YJpUZ+ZV3C+J4sXvp16PbSc13cmMpL4VHfHexk+b/zv2MuUwjykRNV33WdachXSEzt+jajgbKVypjut0s5GSzUQCIHw2kqgTDzrUXtZX50R+l2GOaxggCeTki9ShENjK7YHoNkgCgIav9nlcumDFDjjqy/oDe1Ovo8odqGTLxKcqtqTi90bkhd9ASVSQlG6ZdKZ7/4WDHLP2R5Wo3A8yXabL2kRd0uaUCQ/XITlk1Ycw2jZewiZBuqmVbFzU5/ZSMS+PjNaB2ymvqnXMnV5fzGOSyExej28/l7ZVKjp4EHUJg2p13i1ba76t6x003sIiPG6f1JbqkrZ0l7Ulq+/RtsDL5c4mjR1YX8IVdI3nDCSJeDDpz82sJKczkqJ6dVB///ASInnd70VOxXS7DDxWiczlddahmxlJQDAPUPAj1aVsmWaZxtN9JhJgz2wk3b8nXXFGUjiCmI0UdXLXdshu4/1pym7CIxNqLgUjqLaNARKRA24GIG6DJNP4bej8XobCRpaIUvFSX2I7+pnCpL9v/Kr5v3U4SWAzU++LxzZQHQySwpHq2HbzpLZM90byyqRZR6SmINo2BkhELjk9MJMNOo4vKcA2eYumDJFnS1K9j4kdMxPXiUhlbmcn6X6CQNRDEkw6I27SbCRTvhPTmHS86MTLTbaB5EESAKD+K7ghKizivkNeyGzbGCAReeTl8rav9uk56PDCS4fJzd+Y0qAm23/Y2SQKnoiZpvFP2iQ96B4isb1QH9v1cGS6rA1wFiQBLev78SUFaFMgfzYR9xlSEQMkIp9MnQYvgpsOU3T7xW5H0xtOPrGRSE1OwySnl7ephLOQktM1RDLpO4jycvKJKB2RQVIQTDyubWdSm8kAiUgQBkktebmRdfy2M6nYJpNunzF5vYl04iZMWrd1XxCL5Fu6EKlXh1x8YmkzpmKIlGqZTGsjRN47MUq175LC5ydIavhKbH037Rgm9Xh9iEgmDJCIBJN1sOrE75PYALu2HTsRRHpwW6PczvRx++RLP/x+lql1K6gQKd2+FL9tdd7W2VnhLb/bGdBkDy9BUux9THt1yEXbIn2PSwpHmCfGRU50cB0gjRkzBi+++CL27t2LDh064IYbbsDUqVMBANXV1Rg9ejTeffdddO/eHQ888ABOP/10AEB9fT2mTZuGZ555Bjt37kT79u0xePBg/OEPf/C9EkSqii8Se3IP4tWQlkWW+M627JtnqyRTEdZhHYjIm2RPdPP7oIRUgVOQwRKQOUQxvbbJCpFSbbfYzzN926oo0zYXsS/we1WT0yCpqnORVfcx9ULFGZwqCrvWizhZ7zpA+vGPf4y5c+eiTZs22LZtG8477zz07NkTl156KYYNG4YxY8Zg+fLleO6553DJJZdg8+bNKC4uxu23344VK1ZgxYoV6NatGz755BMsWbLE00ITkVps6xg5Lbg23c+JiORpvXWNciESOeek/rONUJffS+T43arPSZBEJFLYQVLsZ7tt610HSCeeeGLz/29qakIkEsHGjRuxbNky7N+/HxMnTkRWVhaGDx+OOXPmYNGiRRg1ahRWrVqFSy+9FN26dQMAdOvWDTfeeKPbjycyxr7a2rAXwTHVljXMKaBeB1QqNBREJE9lSS7WxJyh3ldbi9b7D4j7gPfeQH3Xk8W9X4xUNT5ZiGRLDfMboNmynWzG79g86WZn9OqQ23wVgWr94kyCWl6eeHBPhfGB28/2dA+kKVOm4J577sH+/ftRVlaG4cOHY+HChejTpw+ysrKaX9e3b19UV1cDAAYOHIi5c+ciLy8PQ4YMwcknn9zitUS2efyJJ8JeBK0FXXBFNYgqNBREJJ+cGv+mhPd0zra65XYwZNv2ITJZ7OyMypJc7Nl7sPl37MOTaDo9LMFTgnP77bejtrYWq1atwvDhw1FcXIza2lq0a9euxevat2+PvXsPn42bMmUKpk2bhueeew6DBw9G586dMWvWrKTvP3v2bHTt2rX5p1azlJeI5KosyW3+SSbZ09yiP255/Tun7+tn2XTE+k4m69VBzc6eH9E6q2pHVrZM652pPbINazyZhse2O6yH4iQbK6gwXog0NTU1+XmDX/3qV/jyyy/RtWtXvPTSS/h//+//Nf9u9OjRKCoqwpw5c1r8zcGDB7Fw4UJce+21ePHFF/Gtb30r7WeUlpZi86ZNfhaTSAmNjY2o3afHY55TKSwoUHb2oNuiqvqjf3VqgCt69sS2be5vH8z6TiZhjSdTscaT7bzW9w93htOnTHVCI+war0of2yQixgtuarynS9hiNTQ0YNOmTTj//PMxc+ZMNDY2Nu+U69atw9ixYxP+JicnB1dddRVmzZqF9evXZwyQiEyRlZWFtkXh3ozPd+Guq1c22HB7uYHqjRhvwk2kFxVqPBERiZesvjvpR7YpyJG1SGl9kmrR6uoBqPEUsCjV++OqC/r2GK7ix927d+OJJ57Anj170NjYiBUrVuCBBx7AOeecg6FDhyIvLw+zZs1CXV0dnnrqKXz00Ue47LLLAABz587F0qVLsW/fPjQ2NmLJkiXYsGEDBg4cKGXFiCg5EVNLVZlCmYypU2dVmrpKREREZDtT+5xBi70UmNvUu6DGCK5mIEUiESxYsADjxo1DQ0MDSktLMWHCBNxyyy2IRCJ44YUXMHr0aEyfPh3du3fH4sWL0aFDBwBAfn4+Jk2ahI0bNyISiaC8vBzz5s3D4MGDpawYEaUn4kkJKs+Q8fpoSh3wRtxEREREatDx6WOq9yXjl0u37RuWIG7G7fseSEHg9dNE8ogqyKo2QPFMbYDC3v68PwaReVQfYFBwWOOJ0tO5f6lbjdd5W4cl03cc6D2QiIiAI485VV3sMprUAMWviw7fBREFy2vN06W+ExGRe7rVeFP78jKJ/I4ZIBFZTHTR1bkBSkbnRimIKaxEpAcRtUy3+k5ERM7pOuOUN+V2RuT3ygCJiIQyaZCRaj2c3PtJxcbLpO+GiJwRWYtYQ4iIzGZCnecMJbkYIBGRcCY0Puk4Wbd0r2FjRkRBkFFrTK/vRERumdavM6nOM0wSLyvsBSCicMguoizSqZnSKBORumTWYNZ3IiKzbaipM67WV5bksg8uAAMkIqIQhNGIsdEksoNpnX4iIlWZXm9NXD8GSf7wEjYikoKF2ZnodjKxgSai4AVVS0y6xIGIyC0ZtbZ6+17f71HVuUjAkrSk6w22M7Hl8jbR3xsDJCILmVwkdSU7SDKt0SeilsKo6wyRiMg2omutiNAo2fsxSHInfp04VkqNARKRZVgQ1VZZksvviIgcC7teMEQiIhuIqrWiA6NMn8MgyRtTZifJ+I4YIBFZIsjiZ3KDEgTRs5H4fRCZSZVOrQ2DCSKyk27BUarPlRUk2VD3dQ2TZH03DJCIDKdToaOWRMxGsqFhJ7KNqnXdlsEEEZlPRJ0NKzRKpnr7XoZIAvBSNwZIRMYKq6DZ1IgEwc9sJH4XRGbRoaNq22CCiMxiWnAUS9ZsJJvrvooPw5H9XTBAIjKISsWLxOK9kYjsxWOfiEge3S9Tc0vWbCSbqRAkBRXiMUAiMgAHF3ZwM23W1jNBRKbQua7bfDaaiNQnsr7qEhrFY4gkR1gnfINscxkgEWlK58EFicEBGpE5TKvpDJGISBWi66uuoVE8kZe0seYfEdRspLC2NwMkIk3oMrhgA0JE5IwudZ2ISCcyamsQodHqLbsS/m1AebH0zxWBff9EXp7elm4GkyrbmAESkQJMG0TEPtI5ft1UKX5EREExrcY7xRMKRBQEmTVWRnCULChy+lpdAiVqKV2YFN9Oqt5uMkAiCoDNg4dU/6Z6cSQi8sPWuh+PIRIRiSa7vooOjdwERk7fS2SQxPshBUv3NpEBEpELHBCIw0EFEZmCbUN6rPdE5JdOoZHIwCjdZ6gyG4n13S4MkMhK7OyrgYMKIpKFdV4trPdE5IUuwVEQoVGyz1QlRCJ7MEAiK3AgoSYOJojIL9Z3fTBEIiInGBq5W4YwQyTWdPswQCIjcUChPjY4RJQM67c36QZEKt3bgiESESUTRO03KTiKFVaIxFpuJwZIBrL5JsUceOjBxn2TyCasxfK5GQhFX6tSkEREFKXDU9RUC43ihT0TiezBAEljmYqtTY9P52BFHybvh0Q6y1RH449d1l05ZDwyOva9VQiROAuJiKJktSW2BEexggyRWMPtxQBJQ14Lbbq/07kIcBBDRDYQfVLAbe1krRVPZliU6TNVCJKIyG4y2hUbg6Og6TxuJP8YIGlCdsc99v11Kgoc0OhFp32LSBWp6pybus1aqY4wQqNkVJmNREQkCsMjIvkYICkujE6/LlPLOSDSiw77FJFqnNY51kO1qRIaERGpQHSbxeCIKDgMkBSkwkBA5RBJhe1D7qi6LxGpjLVOf6oHR2HNQmKbQGQvFcMj2cHRuk07kv5734qOUj+XSAYGSIpQcaCgWoik4jai9FTaf4h0wnqnN9WDo1hBh0hsF4jspOr9jmSFR6lCo2SvCTtIctMGsIYTA6SQqT5IUCVEUn07USIV9hsiHbHe6U2n8ChobBeI7GRDeOQkMIoXdnDkhSpjQwoPA6SQ6DRACLNQ6LSdqCU2METusebpS+fgSPYsJLYFRHayITgC7AmPiAAGSKHgAMEZm7dTbOOo81NydH26H1HQbK53JtA5PJKJdZ/IXgyPiMzEAClAOg8QgpxNovN28iNVoxj996rORUlfE/vvKodN0e+VAwqyma31zVQMjpJjnScikVR9yprX8Ej32Ue8ysBuDJACYsKgIYhiYcJ28sJJw+gkYCIi9dha10xlYmgkqv3ggIKIAHHtnsh6q0p4RKS7LLd/sHDhQlRVVaGgoABlZWVYtGgRAKC6uhoDBw5Efn4+qqqq8Prrrzf/TX19PSZNmoRjjz0WhYWF6Nq1K6688kpxa6GwDTV1Rg0eZK6LSdtJtKrORRl/VFdZksvBBVnFtPpvs+rte5t/TMPwiIhEUi08Wr1ll/CbZasaHg0oLw57EcgCrmYgLV26FLfeeiuefvppfPOb30RNTQ1qa2tRX1+PYcOGYcyYMVi+fDmee+45XHLJJdi8eTOKi4tx++23Y8WKFVixYgW6deuGTz75BEuWLJG1TkowedAgYyaSydvLiXSXp5mAAwuyhe21zDQmBkaxGB4RkSgi2z8V73UE+J91JPPSNa/hkSljDQqOqwBp+vTpmD59OoYMGQIA6Ny5Mzp37oy//vWv2L9/PyZOnIisrCwMHz4cc+bMwaJFizBq1CisWrUKl156Kbp16wYA6NatG2688Ubxa6MADh5S47Zxx5SCzoEF2YD1zSymB0dERCIxPEpN9v2Owpp1xPsg2ctxgHTo0CGsWrUKF154ISoqKrB//36ce+65mDt3Lqqrq9GnTx9kZR25Iq5v376orq4GAAwcOBBz585FXl4ehgwZgpNPPrnFa+PNnj0bs2fPbv7v2tpaL+sWOJsGEE6Lhk3bxC9TAqNYbFgonq71PRXWOPdSDQ5UqYE2hEcitzXrPMUyrcZTZqqFR7L0rejoKEQK8gbZfsMjVdpd0kukqampyckLP/30U5SWluLUU0/Fn/70JxQUFODqq69Gp06dUFFRgXfeeQfPP/988+snTJiA3bt345FHHsGhQ4fw0EMP4ZlnnsGaNWuQn5+PKVOmYMKECY4WsrS0FJs3bfK2hgGydSAR33m0dTvQERxQ2KeiZ09s27bN9d/pUt9TYb3LzM2AIMzOrMoDFydSXQod/xqRWOvtYWuNp/REt4GqPm1NNaJmHYloE9gOmMFNjXc8Ayk/Px8A8KMf/QilpaUAgGnTpuHSSy/F1KlTsWfPnhav3717N4qKDu+UrVq1wk033YSbbroJBw8exMKFC3HttdeiT58++Na3vuV0EUhRHEBRLDYkZAvWvvTcDgTCCI90DI3SbacgtyFrPZHdVA2PTKdSeER2cvwUtvbt26Nbt26IRCIJv6uqqsL69evR2NjY/G/r1q1DVVVVwmtzcnJw1VVX4aSTTsL69es9LjYRqYgDCrJJ9MmC3O+P8Pq0siA7sjo9UU3VJ25ynycikXSox2EbUF7M8IiU4Oom2qNHj8a9996L8847D/n5+bjjjjswbNgwDB06FHl5eZg1axbGjRuHhQsX4qOPPsJll10GAJg7dy5OOukkfOMb30CbNm3w0ksvYcOGDRg4cKCUlQpLZUkuz0iTtTigIJul2/9taBf8dP6D6MjqODhhB5+IVCWqXZNVmweUFxtzGZvom2SzbSG/XAVIU6dORU1NDXr37o3s7GxceOGFmDNnDlq3bo0XXngBo0ePxvTp09G9e3csXrwYHTp0AHD48rdJkyZh48aNiEQiKC8vx7x58zB48GApKxUmhkhERBQrGi6Z2DaoGMyouExuqdzB58kCInvpdMNsnUMkGU9WU7ldIb04vol2mHS8AZ+JAwWidDiosBtvsOqcKe2DiM6/1w5tGCERO9+HsdbbiTXebjoFR6moHibJCI2AYNoutgv6k3ITbXIn9kAyZbBARET+6TxTVVTH32+HlmEOEZFcpt0kOzagUSFMkhUYhWFDTR1DJIswQAoAH3NPpmOjQeSOziGSUwx5zMNaT2Qu2W1SVeei0EOkqDDCpDACoyDb4fj9h+2FuRgghYCzk4iISMd7IzEUIiIyQxhtj0ohUpSMeyWpMLso7PY62f7FUMkMDJBCluxA0mkwQcTGgMgfG2YjERFR+NjWJPIaHqkQEqUSdniUSrr9j+MJfTBAUpCOZ6XJPiz0ROIwRCLVseYT6YltS3oqB0E28bqfsm0KHgMkInKFhZqIyHys9UT6UjU0Uu3yNVNFt7OqM5FEcruvs23zjwGSwjLt4Ko2DmQWFlqiYPCSZgoa6zuR/lRvJxgakUqixwvbP+8iTU1NTWEvRCa5ubno1KlT2IshTW1tLQoLC8NejFDYuu5cb7vYsN5ffPEF6urcd2JNr++AHd9/MrauN2DvunO9zcUan5oN338yXG+72LregB3r7qbGaxEgma5r167Ytm1b2IsRClvXnettF1vXmw6z9fu3db0Be9ed6002svX753rbxdb1Buxe92Sywl4AIiIiIiIiIiJSGwMkIiIiIiIiIiJKq9WMGTNmhL0QBAwaNCjsRQiNrevO9baLretNh9n6/du63oC96871JhvZ+v1zve1i63oDdq97PN4DiYiIiIiIiIiI0uIlbERERERERERElBYDJCIiIiIiIiIiSosBEhERERERERERpcUAiYiIiIiIiIiI0mKAREREREREREREaWWHvQBO5OTkoFOnTmEvhmsNjWEvgVrqG7lBgtQ6y4x8ONuM1TBeTU0N6urqXP+drPrO+kvUEmsp+eG1xrfOyUGHjvr14YlME1QbwP6Xnr7c6bzGaxEgderUCZs3bQp7MTzZUOO+sTVZ9fa9YS+Clao6F4W9CBlVluSGvQjkQ0XPnp7+Lll9Z90kEov1lfzyWuM7dOyEv6zaIHhpiMiNsNsA9uvUd8mgKsev1SJA0ln0gOWBw/CIwm/ASD0NjayPRDKx7hIR2UmV+p9qObz2/0SvF/uh7jBACkiyHd2WnZXBUfiqt+8NbRaSKo0XEZGNNtTUsQ4TERnElJqebKJFGOuW6TNtGbM7xQApRNGd9b0dau2UTU1Ak8/3YGikljDCI1MaNwpPBEAkEvZSUCwR7QMREcAaHybWclKJ6mOGypJchkgxtA6QcvPyEDGg5Tmla5uwF6GFhkONePfTPZ4aFgZH6mF4RDqKADjpmLbIbsU7/6rET/tA4Yl2fFmbyQ2ZAybW+HCxluuNM0uDxfCoJa2rtgnhkYqyW2V5OiPE8Eg9Otw8myiZSAQcWCjIa/tAamAnmJzYUFMnfV9hjQ8Xa7n+gjhOiZLRegYSESUXZnDEMyJEROrimWsiSsXJyWCenFRL2PcPsgEvYWuJARKRQcJu1NlwqY2XsRAREREAvPdFLeob3V/EFhsyhd3vpJbYz5MndpvaHiYxQCIhePla+PiUNUomWSMX/2/8DomIiMitaP+fQZJaONNULtvDJKMvPn733XcxcuRIHHfcccjLy0NhYSH69euHmTNnYufOnQmv79evHyKRCH7zm98kfb8FCxYgEokgEolg2bJlCb9vampCRUUFIpEIhg4d2uJ35eXlzX8b+3PjjTe2eN2MGTMQiUTQuXNn7N2bGMqUl5fjoosucr4RiCRi46Q2p42artfRO6nxQ4cORSQSwfnnn5/w91u2bEmo+cuWLWtRo1u1aoVOnTrh4osvxpo1axLeY8SIEYhEIigqKkJtbW3C77du3YqsrCxEIhHMmDHD1fqtX78ekUgErVu3xn/+85+kr4muX/fu3dHUlHgm+f/+7/+a12XBggUp1zP256233nK1nERkDhXagtj+drKf2D54XV0dfvvb32LIkCEoLi5GTk4OSktL8b3vfQ/Lly9vfl205j3//PNJP/OWW25Je29VmWMEAKipqcGPf/xjlJeXIzc3F0cddRS+/e1vJx2vxPv5z3+Oiy66CKWlpYhEIhgxYkTGvwGA3p0KHb3OCZ5IVo8Kx7INKktyrRsPuQqQFi5ciKqqKhQUFKCsrAyLFi0CAFRXV2PgwIHIz89HVVUVXn/99ea/iRbskSNHtniv73//+6470248/PDDOPXUU7F69WpMnDgRL7/8Mv74xz/iiiuuwIMPPohRo0a1eP26deuwdu1aAMCjjz6a9r2LioqSvmb58uXYvHkzioqSp/CDBw/GypUrW/xMnjw56Wu/+OILzJw508mqEoXCtmKpi2gY5KXjoFOQ5LbGv/LKK1i6dKnj97/tttuwcuVKLFu2DL/4xS/w5ptv4swzz8TGjRsTXtu6dWs0NDTgD3/4Q8LvHnvssZRtQiaPPPIIAKChoQGPP/54ytcVFRXh448/Trp+8+fPR9u2bVP+bXQ9Y3+qqqo8LS/pQ5fjnIKl2n7x2GOPJdSnlStX/n/27jy8iurwH/87gSwEIgQCCgkG2RQJiggVdyxatVYWf7hTkYhF1KofUCzQIvbrWj8Q1FpcPiBFRS1CKYpbC0LdKqCCBKsIChqtSNgkAUJC8vsjveHm3rn3znLOzDln3q/nyfMoubl3Zu7MWd5zzhn069cPQEPocvrpp2P8+PEoLi7G3LlzsWzZMkyfPh3NmjXD4MGDsW7dOs/bIbuP8N133+GUU07B66+/jt/97nf4+9//jlmzZqF79+44ePBgyu0rLS3Fjh07MGTIEGRmZtrcqwYiRw6lCpHKftjLoMlnOrXrdBcJksLQP7I9hW358uW47bbb8Pzzz+O0005DRUUFKisrUVNTgyFDhmDs2LFYuXIlFixYgKFDh2Lz5s3Iy8sDAOTk5GDBggWYOHEievXqJW1nIt5//32MGzcO5513HhYvXoysrMNf5HnnnYcJEybg9ddfb/I3kYb6RRddhKVLl+K9997DaaedZvn+l19+OZ577jk89thjTRrms2fPxqmnnooff/zR8u/atGmDgQMH2tqHCy64AKWlpbjppptw1FFH2fobp+rr63HgwAG0aNFCyvuTv8p+2OvbEOIwFI46Ed04UH3os9MyvmfPnqitrcXEiROxevVqW0/w7NGjR2N5feaZZ6JNmzYYNWoUnn32Wdx9991NXpuZmYmLL74Yc+bMaRJc1dfXY+7cubj88svx1FNPOdrH6upqPPfcczjxxBNRUVGBOXPmJLzhcPTRRyM3Nxdz5szB4MGDG/997969WLBgraVmdwAAIABJREFUAa6++uqEnx+9nxQuql/nRMXFxejfv3/C319zzTVYt24d3njjDfz0pz9t8rsrrrgC48ePb+yLeCG7j3DjjTeiuroaa9asabK9l1xyia3t27t3L9LTG8YEPPPMM7b3CxA/cijZlDZOcwsGy3n/RY65qeGd7RFIU6dOxdSpU3HGGWcgPT0dHTp0QNeuXbFixQrs27cPd9xxB7KysjBy5Egcc8wxjaOTgIY0fuzYsZgyZYqUnYh13333IS0tDU8++WSTjkVEZmYmhgwZ0vj/Bw4cwPz583HyySejtLQUQMNd20SuvPJKAMDzzz/f+G979uzBwoULUVJSImQf7rnnHtTW1toapbVz507ceOONKCgoQGZmJrp27YopU6agurrpSZuWloabb74Zjz/+OHr16oWsrCz8+c9/dr2NkTsJXiqf4g65rn+IwiZ6dJGXkUZOPktFTsv4jIwM3Hvvvfjwww8tRwnZEenEbNu2zfL3JSUleO+99/D55583/ts//vEPbN26NW4Erh2LFy/Gjh07MGbMGIwaNQobN27EO++8k/D1JSUlWLRoEXbv3t34by+88AKAho4UkRVVr3GiVD788EO89tpruO666+LCo4gBAwbg6KOP9vQ5svsIW7ZswZIlS3D99de7Drsi4ZFT/94eP+06lts2OUcaqYHhUbBMPf62SpxDhw5h1apVqKioQPfu3dGpUyeMGjUKu3btQllZGfr06dOk8Orbty/KysqavMfkyZOxbNkyrFq1KuXnzZgxA4WFhY0/VutKJNvW5cuX4+STT0bnzp1t/c2iRYuwa9culJSUoEePHjjjjDPw4osvJvzcI444AiNGjGhSgTz//PNIT0/H5ZdfnvBz/vnPfyI3NxcZGRk4/vjjMX36dBw6dMjytUVFRbjxxhsxe/ZsbNy4MeF7HjhwAOeccw7mzZuH8ePHY+nSpRg5ciT+8Ic/WN65WLx4MWbNmoWpU6fijTfewJlnnmn5vv/eXtkkILL68UJECMTAKR4rbHMF1dETHSTFlu/7quyX74C7Mh5ouCt88skn47e//S1qamqcbja++uorAA2jmayce+65KCoqalIvzJ49G2eddRZ69Ojh+PNmz56NrKwsXH311SgpKUFaWlrSqRNXXHEFmjVr1qTTMnv2bIwYMSLpFLabbroJzZs3xxFHHIHzzz8/aUhFRJSK1zI+2qFDh1BbW9vkJ9JufvPNNwEAw4YNc/SedXV1ce9ZW1truYYcIL+P8Pbbb6O+vh6dOnXClVdeiVatWiE7OxuDBg3C+++/72jfgmTV3mab1H/R06hMDS8oeLYCpG3btqGmpgYLFy7EypUr8emnn2L79u247bbbUFlZidatWzd5fZs2beIWgG7Xrh0mTJiASZMmpfy88ePHo7y8vPGnVSv7i7xVVFRg3759OOaYY2z/zezZs5GdnY2rrroKAHDdddehsrISf/nLXxL+TUlJCVatWoUNGzYAaLgbcemllyZc6+Kiiy7Cww8/jKVLl+Kll15Cv379cPvttydd6G7KlClo2bIlJk+enPA1f/7zn/HJJ5/g6aefxoQJE3Deeefh97//Pe699168+uqr+Pvf/97k9ZWVlVixYgWuvPJKnHPOOejdu3fC9xYt6DAnLEGS7AqbFZL/VBglIGobYsv3nJbOFvF0U8YDDSMwH3zwQWzevBlPPPFEytdHOhn79+/He++9hwkTJuD4449POMo0snDpvHnzUFtbi507d2Lx4sWuRqVu3boVy5Ytw/Dhw5GXl4du3brhrLPOwoIFCywfrgA0jPSN7rR8+umn+OCDDxJ+fuvWrXHrrbfiiSeewFtvvYWHH34Y33zzDQYNGoQ33njD8TaTvlQoX8gcXsv4aAMHDkRGRkaTn8io06+//hoAHNcFl19+edx7ZmRk4E9/+pPl62X3Eb799lsAwO233479+/dj4cKFmD9/Pnbt2oWf/vSn+OSTTxztnwoibe0wtLlVwva5mkz8XmwFSDk5OQCAX//61ygoKECbNm0wZcoUvPrqq2jVqlXcfN49e/ZYFpLjx4/H+vXr8Y9//EPApovx1Vdf4a233sIll1yCNm3aAEBjIZ9siOrZZ5+Nbt26Yc6cOVi/fj1Wr16dtKPw2GOPYfTo0TjrrLMwdOhQPPvss7j55pvx7LPPNi7MF6tdu3a48847sXDhQnzwwQeWr1m+fDlatmyJESNGNPn3SDC1bNmyJv/+05/+VMh8cJ2FIUgSNVKMgqdS507laW12DB48GD/72c/w+9//PmEQExHpZOTk5OD000/Hjz/+iKVLlzbWE1ZGjx6Nbdu24bXXXsNzzz2HzMxMXHrppZavTXb3++mnn0ZdXV2TOqWkpARVVVVJp+CVlJRgzZo1WL9+PWbPnt0YPFk56aSTMHPmTAwbNgxnnnkmRo8ejffeew8dO3bExIkTkx4bMo/u1zaZad68eVi9enWTn0TtYbsefPDBuPdcvXo1LrvssrjX+tFHqKurAwAUFhZi4cKFOP/883HJJZfg9ddfR3p6urYP1DG9na0SjjZSn2nfj60AqU2bNujcubPlwqPFxcVYv359YwEINDytwOopLq1atcKUKVNsjUJyKz8/Hzk5OY3TDVKZM2cO6uvrMWLECOzevRu7d+9uXBj83XffxWeffWb5d5Enyz377LN4/PHH0bNnz4TTwRIZOXIkACR9ZPJtt92GTp06JWzQ79ixA0cddVTcd9OhQwc0b94cO3bsaPLvHTt2dLSNJgtL5cYgSU8qd+iC3DanZXysBx98EBUVFQkfxRz9utWrV2PlypWYMmUKtm3bhmHDhsWtLRetqKgIgwcPxpw5czBnzhxcccUVjTdgYsXe/Y6sR1dXV4e5c+eiU6dOOPnkkxvrpXPPPRctW7ZMOo0tMl3uiSeewDPPPNM49c2uNm3a4Be/+AU++eQT7N+/3/bfkTlULncofHr16oX+/fs3+Tn55JMBoHFtI6d1QdeuXePes3///mjfvn3ca/3oI7Rr1w5AwzToZs2aNf57x44dceKJJ+Kjjz5ytH8iyWgn8wanWKYFEyYz6buyveramDFj8Oijj2Lbtm3Yu3cvHnjgAQwZMgSDBg1CdnY2pk+fjurqasyfPx9ffvklhg8fbvk+48aNw/bt26WNQoo8tvPDDz9EeXl50tdGGupAw5MO8vLyGn+ee+45AMkXyrv22mtRUVGBxx9/3NUiqZE7zskWv2vRogWmTZuGf/7zn1i6dGnc79u1a4dt27bFzd3+4YcfUFtbi/z8/Cb/7qQzIZqKlUVYQiRAzeNP8XTqwAWxrU7KeCt9+/bFlVdeiRkzZiRcEBs43Mk466yzcM899+D3v/891q1bh0cffTTp+5eUlGDJkiVYu3Zt0lGpsXe/L774YgCHF97+7rvv0K5du8Y6qaCgAFVVVfjXv/6FTz/9NOH7jh49GrNmzcLOnTsxatSoFEcjXqQuCbKuoODpUgZReJ1//vkAGtb2lMGvPsIJJ5yQ8Hf19fWuF8i2o1d76+mFMkfqc40kMTjqSE+mfGe2S6XJkyfj1FNPRa9evdCtWzfk5+ejtLQUGRkZWLJkCV566SW0adMG9957LxYvXoy2bdtavk9mZiamTZsWNzJGpEmTJqG+vh7XX389Dh48GPf7mpoavPzyy3jjjTdQXl6Om266CW+99VbcT+/evRvXs7BSUFCAO+64AxdffLGrhvq8efMAIOUjlEtKStCrVy/85je/aTLSC2iYklFZWRlXgUbeO/qRzipQsbIIw5S2CBWPPzXQKTiK5fd22y3jE7nnnntw8OBB3H333bY/c+LEiejevTseeOCBpNPfhg8fjuHDh6OkpCRp2R579ztyF3r27NlIT0/H4sWL4+qkyOOZk3VaRo0ahYsvvhh33HEHCgoKbO8fAOzatQuvvPIK+vbti+zsbEd/S+bRtTwi93Tq3PTr1w8XXnghZs+ejeXLl1u+Zs2aNY1rJTnlVx/hlFNOQWFhId58880mD9b57rvvsG7dupR9BK+CbP+Gpe1NFM2E8K+57Rc2b45HHnkEjzzySNzv+vTpk3BO8qBBg/D99983+bdrr7026eLRXp166qmYNWsWbrzxRpx88skYN24cevfujZqaGnz88cd48sknUVxcjGbNmqF58+aYPHkyOnXqFPc+Y8eOxS233IKlS5di6NChlp/1wAMPpNye+fPnY9GiRbjoootQVFSE3bt3Y8GCBXjhhRdw7bXX4sQTT0z6982aNcN9993XOKor+m7FNddcg8ceewyjRo3Cli1b0KdPH7zzzju477778POf/xznnntuyu3zW9kPe5WsNIo75IYiYPF6/DdUVGtf8KmCHTR37JbxkVE9sY455hiMGzcODz/8sO3PzMjIwH333YfLLrsMDz/8MH77299avi47OxsvvfSSq/3asWMH/va3v+H8889PWOeUlpZi3rx5uP/++5GRkRH3+06dOtm6I3/VVVfh6KOPRv/+/ZGfn48vvvgC06dPx7Zt2xrvuhOxvA+f3vlZytRNZWVllgFNt27d0L59e8ybNw8XXHABLrzwQpSUlODCCy9EXl4e/vOf/+Dll1/G888/jw8//LBxupsTs2fP9qWPkJ6ejtLSUlx22WUYOnQoxo0bh6qqKvy///f/kJmZ2WTZj3nz5qGkpARz5szBNddc0/jvK1euxPbt2wE0PLlu69atjfXQ2WefbTk9L5rfo4JU7AMQ+U2lstYp2wFSkGrrUr8m1vXXX4+f/OQnKC0txYMPPojvv/8eGRkZ6NmzJ6666ircfPPNKCwsxC9+8QvLigEAfvnLX+LOO+/E7NmzE1YOdnTt2hW7d+/G5MmTsWPHDmRkZKB3797405/+hLFjx9p6j2HDhuG0007De++91+Tfs7Oz8dZbb2HKlCl46KGHsH37dhQUFOD222/HXXfd5XqbZVK54ghLiETB0rXCUImdMj6Z3/72t3j66afjHgKRzKWXXopTTjkFM2bMwK9//eu4J5B69eyzz6K6ujppvfCrX/0KN9xwA15++WVccsklrj/rhBNOwIsvvojHH38clZWVaNu2Lc444ww888wzGDBggOv3JfNEyisGSeER+a6DrqsSTf166qmnMGbMGOTn5+Odd97BU089heeffx7z58/Hvn370KFDBwwcOBBLlixJeZPWSkVFBV5++WVf+ggAMGLECPz1r3/FvffeixEjRiArKwtnn302XnzxRXTr1q3xdXV1dTh06FDcbIS77roLK1eubPz/FStWYMWKFQCAt956C4MGDbK9LSq30ekwhvsUpLT62MVzFHRkxwK8umpDk3/rnZ+F7BYtAtoi883/uBw1dXJODV0qpzAESV6+C1ZczgXdGJdp6KnFrtYksirfASA9DTipMPETzyg4H5fvhqTqgTTAsj9cIvUWy3jzsCzXG8tiM6jSN3BSxstbmU2yf+9Q42CTM7qER8DhtZFMXiPJS0imSoGnA53XNyIiisbyjIgoWAyPKEhaTGEj/ZkQwMTuQxhGKJE37GQRkak4hcJ8rMOI1MIy1zw6roXEAImkMyE8ssJHkbIDkYxulQERkVNcH8lcrMOIxEtVVsZedyxbw0G3EIkBElnq1b4V50U7EObFtxkixdOpEiByy+51z+tBPNWeZsp6wBy8XomCEx0ksEwNF51CJAZIRIJEGvNhDJJY2R3mZ+Gf7FxTqXNJZunVztl1bqdc0KXRpAoVr2+GSHrhNUfkv1TlJK9L0gEDJCLBdBuNJPJOdtg7EH5U/HbPrdjXqdjhJIpwOqyf1BT2OkC0ZOe90+PMa4hIDVY3XXl9kk60DZDq64HaQ3Vo3kzbB8kpq/ZQHeo5fc0TjkbiaCTRvJ5LugVKLOPVVB9Q5WBVnrDBrSaGSImJPGej30vHEQ0s44PFtn7wVL02iVLRN0AC8Ml3PyItTd5nOB2mb8e/d6hfWNTXNxxf8k6X0Ugy1tMIWydCVkNA1vmT6n2DDpj8KON1J6OO0glDJXWFrfxPxK/zUcfznmV8sNjWVx/L0XDRqRzXNkACGgo+3dLzSINfp5OEvGGIZH7lp1t45PSzgwqTdCzj/RCGa8qt2GPDujY4YSn/Y/Gcs49lPFFyHNUfDrrVG1oHSDrjndNw0SlEAsQGBqZ3IkwMj2LJOC/IOZOvI1m4xkSwwtL54blFRDKZ3pYOMx3rDwZISfh9sfKRyGbTJUQCxI9GMrXiC0N4FI1BUnBMvH78FjmGrEP9Z2IdwPOIiIi80LUeYYCkId5RPUxGg1TmMY3ueKsaEkTICJEAdoRTUf28AORMdyRrvF7E4zS3YJgQIvFcIaKgpCpDk/0+tuzSvSymYDFASkKHiytsYZIf30nv/CxfjqUOYRLXRUosDNdbMhyNJJ8J14kOwlaPBknH8p/nBBGpIlV5ZLe84k3d4OlctzBAMoipjeAgCje/j2VsJ1zVQEkU3SuusE1dS0bHbdaBrteG7kytR8k+fu9ERCST7vUMA6QkdLxTFmF3CKNKVD3WQaybodLoJJnTlXQLkmSeA0F/z6QOXa4H03HNJDlUbVvxeyaisFG1PDaZCXUNA6SQUaFBrGtBFdS6GZHwxuSAIfpYqnh+yP6uTf5uyRkVz/+w0/GGDCXH746IqAFDJP+YUvcwQEpBtxESdvm1zk/ks0wU1DQ308MGlcIkUwp6Ul/Q5zo5Z+c7YxliLYgOC78LMgWn2pJoMstku+eoye0g065TBkg2MZ21L4zHyc/KvLhDrvEhUkQQT43wu5APy3dJiYWxzAwLjl5KzK92FY81mYJ1Bckkqkx2W+Za/Z0J57yJdRADJAcYIiXHY9PAjzApTCFStETH0+u5F1ThHsbvkIiCmxIdBjyWZJJU7Rs/ZxSQ+VQ7l2S1+/2g2rEUiQGSQypNryH1yQyTwhoiWdGxkOZ3R0QRYZ2SEvQdbyKVsZ9BZE3lJWbCUB8xQPIg2Qmi4gkdTeTJrfq+qkLGAuZ+hUgyn8QWRgyPiCiRsK2t5KUjYNJxIIrm5HoIW5lBFBHEUhfJhOU6Y4AkiWondDQ7J7fd4fUq7ZcuRA839mtxbYZIzjEoomRYfpJbJo5YcjoayZT9Joolo27gVDcKg0Q3JGSurxTG64oBkk9MnPpmyn4EQUZF7sdopMj7M0iKx7CI7GLZSSLJGN0aFLshkgn7SqmFLVBk3UAkhp3yQMQ0OBPKHTcYIAUgyMW4w3qiq0jXEAngaCSGReQGOwckkykjDFK1kUzYR0rMbTmp0/nPuoBIHbqUGyphgBQQPxb/8nJBpPpbVn7q8jNEiv5M0zE0Ii9YZpIfdOpEJxMbIpmwT5SciDJSxdF4LPv9peu0pETbrdK5TBTBAClgMoIkFjbhFkTQYfWZJoRKDI3IK3YeyG8mhUhkHj/KRLufIeMcY5nvL1nH22kY6TQAin7/ZPvA0ZikIgZIiuA8zPAx/ftSJVSK3Q6rbWBQRF4boTIXaCRyypQQicygallo94ExTt9HVSqUC8m2QcXjaOeYpQqAkvXxvOyzCt8nhRMDJMXYXWybBQZZUT0ISRTm+Lndqh8jEsuvBqmKDV8KN3YuSAXN04PeAvvcBEq6lf1BlguRY6XjMQPMDxiJ7NIiQKqpqwt6EwLBhp+5RH+3uoYium43BY8NMiIikkm30TJ2+RUi6XyMrCQ6bkE+HIkoCFoESKQeFpbu2a20k00BY/BCpnByd5plDpEzHIVEsbhYrzORa4j1j30mHyur0UhB7q+oaZhETmgbICXqQJuwcK8uWKE6l6hgtxsIMTgiE6Xq5LKcISJyx275yXI2MROPjYxw2cTjlIiq+2pnuxgykVe27/2OHTsWBQUFOOKII9ClSxfcd999jb8rKyvDwIEDkZOTg+LiYrz99tuNv1uxYgXS0tIwevToJu93xRVXYNq0abY3tOyHvU1+7L4u1evJGxZC9lkdK56fRA1652fFNXys/o2IiOxh+Ul+YF2tF1W+L/aB9GV7BNKtt96KmTNnokWLFigvL8f555+PHj16YNiwYRgyZAjGjh2LlStXYsGCBRg6dCg2b96MvLw8AEBOTg4WLFiAiRMnolevXtJ2JpnICcoRSuJxJFJqkfCorq4O1furAACfV1QFuUm2rCvfE/dv/bodhbR0jVbFJKlEl6ksS0hndXV1qKxSq2zfX+XsRk9Wi5ZIZxmvNZajZIfXUUhhO89ULN/daNXS3zI+VUhU9sNe9s8D5OY6th0gHX/88Y3/XV9fj7S0NHzxxRdYsWIF9u3bhzvuuAPp6ekYOXIkSktLsWjRIlx33XUAgNzcXFx99dWYMmUKFi1a5HgjReJJSn6KrZir91dh2YtzAtoa59pZ/NtHuAB1GS0AAAO65Pm7QaQMlqNE8SqrqjBr1qygN8OTwZeXoEVLXt86CluHnuTh2jrxTCjfAWDcuHE4IjdX+hp5HF2kPrd1hqP4cdKkSWjZsiWOPvpoVFZWYuTIkSgrK0OfPn2aJJl9+/ZFWVlZk7+dPHkyli1bhlWrVqX8nBkzZqCwsLDx58A+sWkvT2jxWLHEszomOow6cmL1ll1YvWVX0JtBPvMSHsWW75WVlQK3jIi86tmWIYRuVJmSArCM103k3In9sfM3RLHcLB/DG5LB8HINO1pE+/7778d9992HNWvW4G9/+xvy8vJQWVmJ1q1bN3ldmzZtsGdP06kv7dq1w4QJEzBp0iQsW7Ys6eeMHz8e48ePb/z/tkd2dLKZtnAkEskUGx5ZFaQdz7gYzbJyXL2/1dQymdJrDiDvyxUJfx8JkTgiyXxey83Y8r2goMDrJhEp6Zpf/hItW7UKejNsqaqsxLxnngl6M8gmlTvvLOPNpPI5J1OkPR+7/zqV74D8Mt7t4Az2xYPh9Xp2/BS2tLQ0DBgwAK+//jqmTZuGwsJC/Pjjj01es2fPHuTmxp8Q48ePxx//+Ef84x//cL/FpKSwViyxEi2UbaVZVg4+3nbQ3Qf9dwqZalZv2cUQyVCs5ImcadmqFY6waAtRuLG9RKS+VDMrWL438DKrh+1K/4mqf1yvoFVbW4tNmzahuLgY69evR11dXePv1q5di+Li4ri/adWqFaZMmYJJkya5/VihOJWNRLIadRR9jq3esqvJyCG/RxH5hVPazMNKnojIvkTTghgeEaltQ0U1l+WwwesT1Niu9Jfo+sfWCKQ9e/ZgyZIlGDp0KFq1aoX3338fs2bNwu9+9zsMGjQI2dnZmD59Om655RYsXLgQX375JYYPH275XuPGjUNpaSm++uorHHfcccJ2RBecOmceO6OOgghV1m7aAQDo271dk/9PJfJ6IoCVPBFRKgyGiPQWxtDI7T57HYDBdqW/ZNRPtgKktLQ0zJ07F7fccgtqa2tRUFCACRMm4Oabb0ZaWhqWLFmCMWPGYOrUqejatSsWL16Mtm3bWr5XZmYmpk2bhtGjRwvdEbf8CnSiL7bYC0/3CynMDadUax3JDo7shEJ2g6PY13sJkjiVjYiIdGbVttlQUR3qNg+RiewEKRsqqtE55Je+iJk7uvd5dSOrvrIVIB1xxBFJF77u06cPPvjgA8vfDRo0CN9//32Tf7v22mtx7bXX2t9KyWSFSHYvtOjX8cJSX6KKJll4FAllsuqrcVbkfbbsQnXaPinbKMLaTTs4Gok4apIoiej6gMGC3ux8f/yOicwSxpFHbnDZF334UU85XkTbVJELw05HKVXg4+Uic7IdKghTY8pLcKQrLyESRyERkYkS1QW8Q62HMLVbiCgeQyNnRIVHuvRt3YjUK0GeW37WbQyQYji9SGQlsjpMcwtDIyxZQZBqulp0ePT91obf5aTXAO0FbmDUe7txVJHcgIchUjjwzhSFATsd+gtDu4WIrLEMP8zusWD7zpkggqQg6jUGSJrgNBL/pLrorQrTRKOOkoU728v3YF9dhostFCeyfcmCpLWbdqBfUY7rz2CIpD+rkZFsVFBYOGkIbtzJDgoRkUpEdebDVr6LbOexDytekDdEGCBR6NmpWFKFRkD8dLVIOFOx8aPGf2uVCaB9sKGRFTtBUjSnC21HjpWdIEnmwuMMsrxhaERhwrvVZuHoI6LwEFV+67a0iCgMj9QWdH3GAIlCx+uwTauAI9Goo+jwKNbOL9ej8iCQ37Nf0u1I9h5OpPocoGHbnUxrc7pGkuyn0jn5fIZJRGTFSceDD8EgIlKHiOCIN8vEYb1oJgZI5ErQyacTbjsDsdwGR/t2fNf43606dop7D1EBUSqxn5MoULIKkTZs2dX49LhYuj6tzcmoKCIKBz/XhfDS0dGpDiYikkX0SCPiotlubKio9q1eVqH+Z4CkCdUuQj8vFCdEhUURqUIjIH6do0ThEQDs37UNQKHtbUwl9v1z2sUHVIlEttPOyKRUdA2RgPjvmIESUfiICI7KftiLbi0P///GndXon5srZSpc9HuqWBcTEckgozy10x+ILd8pOdX6rX7wY9q7KvU9AyTSluiwCEg+xcpLcGRl/65t2HfgkK3tsivR5yYLlio2fhQXIiWbyrZhyy4gLb4A0zlEipboHAgqWLIz7Y+hF5E7skcc+dGgjHyGKg1LVal644uIUhNdlnLEkTxhDI/8oFL9xQCJXPOj0eq2whARGAHxoRHgPTgKQmS7EgVJTkOkMPJz/SSna0VxOh6Rc24foJDM5xVVbjeHfMCwjUgvDI785fX4MDySQ7U6iwESeSZiKL2XCkJUWARYB0ZAfGgE6BEcxUoWJFmFSE6ZMgopFRmBjYgFxldv2cUQiSgFkcGRSuEtR9jYxymAROpjeKQPBkfhwgCJhPJjuL7btYusJAqMgNShEaBPcBQr1YgkLyLHlEGSvb8VTaUOLZFqRIVHsdcvw1t9MUwiUkdQaxwlEl22c4RpUwyN/KPaDSItAqSDtXV8/HZI+TG6KMIqMAKsn5Kma3AUa9+O75oB1D/1AAAgAElEQVSESLGjkLxMYwtjkKQSBklEh8kYdeRGos9gQ1wNqjXSKf7a5fdjJhVHG0XKet4gaIr1FWkRIMUK41OTyn7Ya/QF67Sgd7N2UaxEgRFgdmgUK1WI5FXsdxGGQEklDJIozEQukp2q3lm9ZRdOOjKz8f8/r6hC35a5tt4/+vdu63p2rMVgiBS8ZNctR4yZRaXgSMWbgX4r7pDLGx2KUqlu0jJAihWWZNi0EMlJIS87MAKsQyPA3ODIru+37kLR0TmW/w7A8QglO99VBMMmcUSP4mRDi1Qna7qaE246M5G/Mam+141KDfUwcRom2H09v0v16B4cbdxZjf65apfRGVvXAABqivo7+rvoEIn1kFpUeRCEEQESEJ677LqFSG4KdBHT0QAGRk44HYUUfWxlPq3NSdiUCsOowxJdYwO65PkeDNXWJW9IBl1Jkp5UCI+8clLf8zoRjyGSf2Svn8nvMniyvmO3wVGYboJlbF0DtD3W0d/o1Nck/xkTIEWEIUhSOUQKKjByGxZFhDE0ihUbIkXbXr4HaJ/4b2WGSKLYDaPCHDSp2KBK1OhkZ4CsiJqy5vZaWFe+ByJLEJXreyKv/HjwigpUGTXgJ5nfrdf1jVRs64gWGX1EJINxAVJEssLBhHApWeEpqrEp83GXDI3Ul2gU0vbyPQAy4v7d7ZQ21aQ670QHTNGfF+bwyqkwNsgpORNGHZFaOHJFjiCCoyC+y9j9NH39JpVDIyA8ZbtVeJRRvi6ALSFZgq6bjA2QkrFbgOgaNMkMftzyY1oaAyPvRCyoHf0d6R4mWRE5rc7uezNYSsyqwWpiw5wS83Oh7FgqPG2S57tcQTfUdZdqmrJp7O6rKeeV7O9WVJ8mLOERhUeQZUgoAyS7wjAdTha7BTVDI/Ukm8rmVKpRYiYGTDL4PSpKd6bf5aXDVAiPZOL0NZIp1fXTOz/LqPBHZofLzXHSLUTy61wQfSNcRnjUs62a3xunroWLVXvXj+uUAZINDJJSc1I4ywyNGBiJV7HxIxx9XB/LfwfgeIRSNAZMYnAaXGKc6mYeJ40jux0RFcMjv2RsXYOMfQeC3gyl6dbRT8bJ9WNSeBQh4waDl+OkwyhaP84DGbMnwjbqiOFRuPlZXjNAcmD1ll0Mkf7LTaHM4EgfqUYhRX8XIoKkRFIFTKKYFFRxGpw1Bkn6c9o4YnhEIqkcIpkY9PhBRJgk49gHea75eS7JWnIjbMERwPCI/MUAyaEwjkbyUhB7DY2AxMERQyO1yAySZLM6B00KlQAGSxEMkvTipjMjKzgC/A2POH1NPSqFSAyNxIp8t6pMgfa7rtJ1elpEGEMjgMERBYMBkksmj0byWgjbbWAzOFJb9CiknV+uB9pnHP7vJHQOkqLZHf2ke9AU1tEUDJLU5aUjE1R4tHbTjtCFsWHlNURyM2WJYZF8ke/AybpPfnwvsusqXaenRWN4ROQvBkgemBAiiSp0nXRC3QZHAMMjnUR/j7qHSck4nWane+BkGgZJavDaiXHSQVF95BFgf/QRz9tg2A2BVAoiyJrV96bidSVj9JvM886PJ0KHNTgiChoDJA90DY9EFrgMjsiOsIRJdoRhupyOGCQFg8ERmYIhkPpin1IUxvJe9xFHQYZGx+a3RHlgn94URx9RkBgguaRjeKRqcARwupqqki2mHfluki22bSVZUAiEM2CKvUYYKAUnzB0Lv4jowDjtoOgUHnHtIyKxYsvzMJbvOq9xFPRIIx37fEQyMUByQbeCRHTBK2qNI4CjjnQV/d2kemKbU6kCJrt0DqKirx2GSWQKUR0Y2aOO3OD6R0RqCmNYFIvhERGJxADJIZ3CI12DI4DhkW5Eh0gixJ5jugZK32/dxRApACo9bUlnIjsufow6AjhtjcgEfpTf0QtuR3+ejMDG7f7oPGWN4RGRmhggOaBDeCSjsBUZHAEcdUTBqNj4kbYhEpFuRHda/AqPgsbpa0Te+Rn+J1qEW2QZqHJ4JIsqZbiqfb+aov5cB4kCwwDJBlULj4ggQyOAwRHpgyGSHH27t8OWoDeCAiejs+LmzraXOlGn0UccIUfUlErXROy2JCofVdpmNzhtjSh8GCAlEbbgyGnDWURwBDA8MoWK09hIPq79QrLucvvxGGiVBDH6iHewSXe6BDBWo5J02XY/MTyyr6aoPwCW4+Q/BkgWVA+OAHEFrJu7rQyOiAgwOzxiw94e1cIjlUYfHZvfEi1aHg6FEu1TUNPW2OkgnelYRuu4zcmYHvLr0B8kCkJoAyTdCoUgA6MIEYtjAwyOdGLaiCJOXxOH4VG4yVxbI6hOSd/u7VzVkXavBa5vRCQGy+jUZK9/ZHp4pAveCKAgGB0g6RYSxdIlNAI42ohIFhWfwMbwKNxMDI/cir0WTixsjfLP5X+u1/OUnQ7SEctne3QNj1SavhbbhyzukIv9VerUTyzDKUhGBki6BkcqBEaAuNAIYHBE6uDoIzFMDY/YMUlN9eBIRB0aOb+T1aOmXgNEQUm14DTLZ/t0DY/IPoZHFDTjAiQdwyMRjV4/RhkB9kIjgMGRCZJNX8tp10mr75jhkXcmd5rZOUkujB2S2OlsKp3/PF9Jd6nOYZ7j7uhcVqs8+kgFDI1IJUYFSCpe8NGCfmpahJPACGBoREDbrn0AfBb0Zjimc3Ck0tQ1lTrPorGjYk12RwQQ2xmR0flQ7bwXda6yI0JBYXkrj87hkUpU6kvKLKutngpIZJcxAZIqF7zMBN2vwAhgaBR20aOPGkKYGkd/EySdQ6MIhkf+YGemKT8bkyZ2RgZ0yUPt/irh7yvyPGV4REFgWSuX7uGRSqOPVMBymlRnRICkQngko/BzExi5CYsA+4ERwNAo7Np27YPKz9YHvRlNmBAaRTA88gc7NE35FR7J6IiY1vmQdW6yU0JkHt3DI5Wk6k/2bJuFZRI/n2U06UL7ACno8Ehkw9XPwAhgaETW4kcfOfsbPzAwko/hUTjoPupI5fCoZ9ssHJEb/LnGTgkFqXl60FtgLhPCI1XK8CD6kzLL5oMbP27878yeJ1m+htPYghPdDrV6aIDq34u2AVJQwVHQgRHgzygjgKFRGLkJj/yg0ra4pWpQZIXhUTjoPOoIUKfjEe3Y/JYoD3ojojA8IjITwyNx/O5TiiqXo0OilK8r7CXkM8m72HZodGAU+Z3qIZKWAZLfF7qoAs6vJ6UBzsOiCIZG4eV0FFHkSWyyRh/pHhrpFBhFMDgyn+4jjiJU6XhEBD0aOhaDIyIiNfgdGFmp+XKDkG0gOYIOjJy2kbUJkPxsnIUpMAIYGlF8eBQb3rQvbA34UK7pGhrpGBbFMjk8IgZHYeGkoxLpjCSa3kBEauLoI3WJDO+9BEakpmRBTRA3Ot1+phYBUqZPE6hFFGYqPiktFgMjipYqPDqqKA+ot26siBp9pENwZEJIlIjp4VGYRx8xODKfmw5LdMfk4MaPUXOwTuQmEZEkJoRHKrEzQKG4Q27cv2WUr0NGTrbw7WFoZC6/26KRz7MqM7xuixYBkmxBBEd+rWMUwdCIrNgKjyQLOjwyORhKxfTgCAhveOT3UGiGR/7zGhwREZEaWDabTURbNPY97LbzYqfHidgWBkgeOQmO/BplxLCI7HAbHrUvbI2vP/P++UEFR2EOjKKFITwKK446MhuDIyKSIWyjj4LGcpmiRS+kbfVktlhOgiDRayyFPkBy20C1GxwxNCIVeR15lN+zn+vRcH4GRwyL4jE4Mpsp4ZGOijvkYn+V3GPiNDxiB4WISC2qlMsqP+UrbKK/C1nfi8gR+aEPkJySFRwxNCK/pAqPrPTukgd8LmuLxGBYlBrDI3OZNGUN4OgjK24WyCYiIjWwXCZTQrtQB0hOG6gywiMGR+QnO4texwYxfbu3A2r2C/l8kaOPGBgRNWB4FCw/nhLL8IiITKFKGe+k7O6dn4Uf9x50/Vksl8PNlOAoQliANGjQIPzrX/9C8+aH3/LYY4/Fhx9+KOojAmUnPGJwRCqzCo+CWDTbKx22UUUcfUQicNqa/+yGR+ygEJEXxR1yWcYLxnKZRNhQUa3UQ2GEjkCaOXMmbrjhBpFvKY2T9Dvo8IjBEclgZzQQQwcz8Hs0l2lrHqlyZ1oVMsOjnR9vAAC0Pam3478lItKZHyNHGR6RSFbtvaBCpXQ/PuSFF15A165dkZeXh9tvvx0DBw7E3Llz/fho5TA8oiC4mbqmIh22kYjCq2dbcY05N09bcyMSJBERUVPFHXJd/R3DIzKZ9DWQPv/8c5SUlGDJkiU4++yz8eCDD2LNGmeNoup9+zD5ssFx/158ylm4asJdAID50+9G2Qf/jHvNT0dcg3MvGwUAmPk/Jfjh260AgP0HDzW+5oxrb8fRfU9veJ/bhse9x4GDh9DrmnvQIr8A+yu+xb/n/TbuNbU1h3D0FQ8DAPZ9/TEq3psb95r6Zi3Q8sTLGvbpmzU4+G389L7mbbuiRc/zAAB7P/kr6vbGB0jp7Y5Ds/a9Gj73y3+g/mD8XeFmnX6C9CMKAAA1n/017vcA0PyYwUjLOgL11T+i9qtllq/JOK7heNT9+C0Ofbcq7vdpmblo3vVcAMCh7f9G3Y7457un53ZCs4JTGl7z7Qeh3qc9acBjmzMAAHsqa4CO/uxTVav2cefevo+ym7xm3/GnoOvFNwEAvnz5Mez+Yg0+zWzWcEzq69HsYCUGDBgAnNmw31Xr/oK6/fGjBbJ7nIuMdt0AAHv/9UTTz/jvZ3a88DfIaN0RNXv+g/+89oDlPlldT99lNDv8Oe064fhR9wIA/vP+Yvzn/b/FvUebHv3j9ilWx1OHouOpwwAAn/55Cg5YhLbH/OJG5PUcAAD4aMZoy+1NVUYAQL/xTwMAdm1cja9e+VPc72Xs07cv3Y1Pv/8m7jWpyj0A+PmdD6NNx6Ox+z9f49UHb7V8zVUzrc9bu/btq8Jlg0+N+/dTzjoHE+66DwAw/e7J+OCfb8W9ZsQ1Jbhs1PUAgP8puRLfbt0S95r/mXoPxvx/PwcA9Dv5ZMttWPCXv6Bbt27YvHkzLr3sMsvXfPTf6dh///vfcedvfhP3+67HHIOXXnoJAPD444/jyaeeinvN4MGD8dAf/gAAuGPiRCxbFn89/+r66xtH8o4YMQJffvVV3GsefOABnHdeQz1hdewAYPrs59C5S1d8s+VLTLjuasvX/GXZ+wCA91cuQ+nv48/ZgqIuKJ3zPABg5h//iOUvzYt7jZd6ONqV/zMVfU49u+F9BJyPX699F+/M/d+437c+qjMu+s0jAID1r72A9W+8GPeao088DWeMvgMA8M7TD+Hrde/FvabP+Zejz4VXNNmn7GbNkJFej507dwIAjjvuOAwdMgSAu3Mv7WDD2nOfvNJw3N94ZxXueOCPce/RpW0rvPTbhuvg8aVv46nX3ol7zeC+x+IPYy4BAEz8v0VYtvZzHDpw+G5mHYCeA07FT37yEwDJr6dTz25oj/l17v3lz0/hpXlz4l4jsozgPqXeJ7eqqqosz38Z5aGJZbzVPlXX1ks9Jw8cOtxHklHG/3XiiCb9sAg/y/gBd99ne5/+p+RKVHy7FXV1dY3l+/PznsaMSb/G+Wc0lJkn/OKaxr+tP3ig8b//MmUMunVsj83/2Y7L7v0/y3368I+TAAB//+jf+M2cxXG/P+aofFdlfLS6+np0O+HkxjL+Z0MuYXlowD5tqKjGL88/zXJ7nZZ7TggdgTR+/Hi0adOm8ee6667Diy++iAsvvBDnnnsuMjIyMGnSJOTlJR9FMGPGDBQWFjb+1NSIH6LfIrNZ6hf9V7aD1yaT2bK1kPch8qpZZnbK14g670WqrYlvcJBe4sr3arMWFiQSIRIeyRIdHhGJFFvGV7OMJ8UceYQ6a8kQiVZdWy/9M9Lq6+uFfMqgQYNwxRVXxK2BdMMNN6BFixYoLS1t/Le+ffvitttuw7XXXmvrvdse2RGlr8aPqvBKxlPY7KyFxGls4ZWb3Qy3XFAIAHjk9XLsPeBPIOJ2Ae3I2jnpNfvR7vPXAQD/zDoFW7/e52oheKvPdYNT2VLze92jxbf+HOXl5Y7/7siOBXh1lfwpNCotPigS10AKXmQtjeIOueicdRCzZs0CAIwbNw5H5Lqb/uB0+pqXNZAAoArpeB5HAWjY7m+qMx2/H5lt6KnFrsr4goICbN60ScIWhZvsst/k8t7J+keRKWwNT2Hb21i+33LxaTgix/pmrIrT1/YerMOsDXsAsIyPFmkbJltfSPUnqFltp5s2b/cePWyX8dLXQOrUqRO+/vrrxv8/dOgQvv32W9kfa4vTBdTsdMjsdGyddqBz2nWytYYNkRdOFoIntXHR7HiqNwDIDBt3ijnPaor6o6aov+3XZ/Y8yfFntD2pd+NPm97HOv57IgqOCTdFBnTJ82Uxa7+5KY/Jf9HXUOz1lOx3qtlQUe17G1d6gHTppZfitddew/Lly1FTU4MHH3wQu3ap01F1Wnj17d4uZefsqKK8lEFSfs9+jT92RYIkhknklNUoNjsjiOyMunPK7cilaAy7EmN4lFikkg2ispXFz4aN28VEyT2nIRI7LkThIbP897O8NzVEYnmsl8j1pHpgpAKhAdJtt92GVq1aNf4cddRR6NWrF5566ilcd9116NChA3bs2IH+/e03iPwSVJAEMEwif9gJkXQKZnTaVr8wPHLGlBCJzOZmNBI7LkThwBBJbZHymGWyepJNW9Od7PatsABpxYoVOHDgACorKxt/vv/+ewDA1Vdfja+++gq7du3C9OnTRX2kFDKDJKdhkt1AiWES2eUmRJIxConEY3jkjgkhUu/8LN8aPbI7FDp2Ivxax8NtkMSOC5HZZNYBpo08dVvHiGgrsExWjwltwCBIn8KmK7dBksgwCXAeKEWHSQyUyIqbEGmD4A6SiGlsAEchEUXzM0SS2anQMUQC/Fl0FnAeJAEclUQUBjJDJD+CJF3Lfjf8LpMzuvb27bNMo2PIJLs92FzquxsgujCze5cxOkRKNnrDKkRK1SGODZFSdcRjQyQ+0Y2AhvMg9tyo2PhRk/Pr+627EgadogIgESLXDJ/MRuTvU0MiHQoZwcmALnlaPpHNT5EQyckT2zJ7nqTkE4KISIze+VnSyn+ZZX5EpN8luvxXNZyKDZFYPpNXftxMDCRA+te//hXEx3rmNUwCUk8Hiu0EywyUGCaFm1WIpLPoa4VhEjmxoaLamHnvEdH7IztMktWpYIhkj9MgKdJhYUeFyEyybyToEiTJDI1qCk9ETW78qCwngb6V6EBJVBmd2fMkHNh3QMh7mcBp+0hmKCuaX21ZjkByyU2YBNgfnRThdJSSk0CJo5MoNkSyMwppe/ke37bPrVTBKwMmChO/RiUVd8iVEiIB/q0zpLPoaW12OjHRHZWMfQeADe9J2S4iCobsjq+fQVJEqrog6JFGsdOLvQRKTsIkjmQiPzFAEsBp4RZhtV6S01BJ5AglBkrhlCpEMlGy6Xm6WrtpBxfSpqT8uIvG0UhqcDO9jYjM48cNBD+CpIigAyKnRJXFTtdLikxX5tp3iUWuCRNHocvGAEkCL3dMnYZKXkYocbob2fH91l0oOjon6M0QjlPeKIw4GilcGCQREeDPtObohbb9eqiALoIoixkeNYgNh6zOf4ZIzjBAkihRSu608es1VEoUKLkdncQwyTxhHIUUjWEShY3Od6VVHI20essuDOiSh88rqoLeFEs1Rf0ZIhERAL3Lf90x1PcPAyF5GCAFQESw5GQtJdGBEsMk8krlcIpPdQunsN590rUjoWKIFGvjzmq0qM50/HeyzkOGSEQUzc9RSboGSWU/7G0yskoUBknB0WlRbFUxQFKIVbBkp4HsZYSS1+lukTCJQZL+THsqW9hw/SPywq+ORNhCJDdij38Yg00i8pdVOSOyLuD0NmsM9oPhtF7VJXTy62YoAyTFuR2tFNuZTBQoiRqdxFFJZttevgdoL+a9VB59pCuGR2KEdRRSLJmjkkTfjVZpXaTVW3bhpCOdjzhKReR5yc4KEdkl68YCw6SmWC6LJ6Mtp0uI5AcGSJpyOlpJZqCUKExikEQkH8MjsRgiHaZTkGQ6npdEFCQ7CxG7wTCJRJNZV+oQIvkxipkBkkFiQyXRgVKqMImjkigZHUYe6bbuEcMjOdhZb0p2kCSi02DqdLZoPC+JSBUyRieFOUziKCR9+DHlXyQZbQcGSAYTHSilGp1kZ1QSwDBJZdHrIIl6ElvQwZFuoZBdDI/kYmc9nqw7bwyRiIj0JTNMCluQ5BcdRtK44Xe7zY8HkaiIAVKMVCvt61yQuQ2U3IxO4hQ3s+X37JdwYfXY1wXB1NAoguGRPyINAgZJh8lqLDFEIiLSn+g6QvTDF4jIu9AHSE4fzej09W4KPS+Pi3TyeXYDJaejkxKFSRyVpBev4U8Q4ZHpwREFg0FSPBlBEu84ExGZQWQdwbrBnYMbP0Zmz5OC3oxQUH1El+hR9aENkLyENCp+TqrPs1PougmUkoVJHJWkn+hQL1r7wtaAzXKRwZE8qo08ii4zFge4HX7htLZ4MhpNXu84qzIK6fOKKvRt6W8bgIhIJWGd4qOKMIVIbJ8lJ7ING8oAye9QRwWx++w0UHITJrmZ4sZRSfpicCSXrPDI6omOlBhDpHgqjkZSJUSK3f4wtj90leg6tzrPY4PUZGUEO9IURiLqCU5ns+/gxo9Tvkb1UTNOBd0+0+F4ihpRH7oAiY23BlbHIVmhbGd0ktcwiaOS9BK9DpLf4VGYgiNAfHjE0MiboBspqpIVJOkUIq0r34NkV2tkX9gWUZOd6zrRa+yWCbIeh06kA6/1RBAhUtkPe1HcIRcbd/JapeR0GXHnNUgKVYDEBltyTkYppRqd5CZMSjUqiUGSGtoXtsbWr/cB8Dc4CltoBDA4UhlDpMRkLKIKuBuNpMpIpFiRDgmpIei71lZU74AQeeFltAZHIlEiqrTNTA+SQhMgsaHmnN1AyW6Y5Ga9JAZJ/omePhgdDB1VlAfU+18AhjEwipAxXY3hkXiqNFRUJfrRzm6DJBkhUqQ+83KtugmReM6JpfKxlPFodCKVMEQiUoPT6zAUARLDIzGij6ObMMnLqCQGSWZjWES64hPa7BHZGXbTcRAVIsXWXWs37fA9RPKDDms5eKXTNRuG74PCyctIDdNCpJqi/sjYusbz+9hZ/yjCtLJFtXLdtOMbEYoAKQxEXTB2T3I/wiQGSf5J9PQ1WXQMjHQOejj6SD6ODLFP1GKqgLPRSF5CJKsRtKJwXST/6XitckQSmcxtR9u0ECkIpoQcqpbrphzfaAyQNCf6YrF6v1QnvZ2pbnbCJCdBEnA4TOKT28SKm77mko4hEaB3UGSF4ZF/GCI5Y8pTebyOQvKTiLvbujPhGtVlfQ0iJ0zsaOuCx14u046v8QGS7Dt6bhoiIk4gPxtATkOlVKOTEoVJiUYlcXqbeo4qyotbtyry77rRpePnBsMj/zFEcs7Pp/Kouqg2oN50NqdPC7N73gfZiDbt2mSQRKZx09H28qAFMoMOZbtJIZLxAZLoBpmIE9TrI1xVuEjs7oPdMMnuFDdObxMv6eLZSURCJF1CI5ODIisMj4LDdZHc8boWBmCvA+EmROrbvZ3UaWx+8bLGhqjzOYipWKZfiwySyCRuz2eZI1LLftiLbi2lvHUTItZByux5kqN1kCJ0DTh0Kt91PcaxjA+QRJJ1gqZ6hKsOF4adBmGyMMnpFDcGSf7q3SUP+Dz+31UPj8IWGkWICo8She+8y2cPRyO548eiqqqORLJz08uk88qP4MOUY2WHiusk1dYFvQWkK7ejkdhGIZWZECKFIkASMQopiAaIro0eO6OT3IRJDJLESzT6KJneXfLw0dZ9sjbJs7CGRiKlKi/tLKJPDUzq7PtN9l1opyGSKaOQVCSrQR3ma8/raHeRWA6SW27qAd1DJFFPYyN16T5qNBQBEgUr1R0xO2GS3SAJOBwmccHt5JI9eS36ePbt3g6o2e/HJrnG0Ogwr6OPnIbtKq3Zoip2nryR2YFQMUQK2yikCN0b1KoLOlAy8Zwl/5gwakMHPM7+0rXeC02ApNrilGGVqgGTKEyyGpXEdZLEsTv6SAaGP+Jw3SN1sfPkndOGls4hUpjp2qDWTRCBEstB8sJJuMFRSO7pFCKZUp7odMyBEAVIgLcQiZWeHMlGJ6UKk1I9wY2jkhKzO/rICwZD/hIRHjFkl0unde1U5rQTAaSeauklRNKtrNNleoTXIInXmTN+BXdsT5MXTs7TMIdIbhfSpuDoFCKFKkACOBJJZXbCpFSjkgAxU9xMDpJiw6Nko48SdYwS3YHXrSNll8iRPTIW7mV4pBd2oLyTMRop0VNBEzG1vFNN0FOvwsaPIIllIHllt7Pt5AmdREHTJUQKXYAEuA+RWOH5J1GY5NcUN1ODpFThkdvRR6Z2pGRMCUv2xEG370P6YX0ihowpDV6e0HZiYWuUWzyx0gm77ZOwnkN2njQWxuMimuwnuoX1/CVxwjAayesoJNKPDtO4QxkgAQyRdJLoQvJjiptJQVKyaWtWUoVCkVFIJoZHfoUzVp8T23E1PShqni6us6dyZWuF9YkYsqa0AXJGDCbi5yhAXaaxpWJ1/ehWDuhAVjnFMpBEsNvhDmOI5JYuI2FMLkNU/g5CGyAB3kIkgHe4/OZ0vaRUU9wAe2GSCUGSVXgkYvQRwyMzPt+U6Wuy75jLYHLjx09OG1p+BUmmXFs64fWkD35XJJKdekDXEInCSdUQKT3oDQial0JExS80LHrnZzX+xCrukBvXaB/QJa/xJ1rf7u0afyKOKsprEqbk9+zXGLbktOvkeCRP0OyERwTL84P0lah8UBHrEjHcfN92Ax47ZUPsa47Nb+l4e/xUU9Q/6E0gIhLKTj2gY7DP8jq8VGzPhnoEUoTXp7MBvIsSJBHrJQHxI5NiRyXpOOUUK3wAACAASURBVCLJbngUO/oodmRR9LoeJxa2xsfbDorbyAAxMDKfLgvwciSSGG7u1qk8rY3IRCzrSCY7U9oS9RFU5vdUNlVHv8QKS/tJpe+DAdJ/eX06W/QXmqjDYlWgmXzCuynkvCbsdsIkwP40t9gpbroESYlGSdkJj0zH0KgpHe/EeaHD4oTkjdvvWLcgSUT7wZS1kEgfJrd7SS1O1kYC9AmS/KRSaEHqtGEZIEXxGiJFJPpSrf7d1CeIuG2Qxv6dl0BJxJpJToIkFUKkZNPr7IZHJq5rBDA4oqZUXC8pLHfR/OK24evkaW1BEXme1BT1R83evQDeE/aeRLFYtlFQ7NYFyYKk4g652F8VfMDE0J+A4IM9BkgxRIVIXuk+NS4S/Hgt5EQFSnbCpGRPcksVJAU1GsnOekyJ1jvyY+SRmw6WjLv6DI+sqVDWqUCVOzoknuzRSH7TtU1A4cbzloLmpC5QtfyP4FS2eGG8ARfk98IAyYIqIRKQvKDT4UIRXchFv5eIMAk4fIztjEqyCpLcTmtrkXckDklcSijZQtmJwiOr0UcDuuShdn+Vo8/2Etik+lunAZMf4VGiKZIqU6WMUwmDJHP5FSQdm98S5R4/V4e6nciu5qF/XA+pxEmnm09sO0yHECmMgvpeGCAloFKIlEgY09ZoIsIkwHp0UrIwKTZIcrI+Uou8I11vZyp2nqyWbNSRk6lrA7rkWQY5foQ1Ko0mSlRGJCs72BhRH4Mkc/k5Iqln28N1S5jraiIilbgZjaSaIKayqR4ihbVfnGifY9dcFvndMUBKQpcQCVC7cepHISc6TLJagNtrkBSrbdc+yK7LcL2tTqSarpYoPLIb1qgU6vjBS7kQ9Ggl1cs0lTBIMpeMIEmVNTKIiCg1p/VAz7ZZWCZzg8izsIZIVmKPg8gQiQGSIVS/YEStiWSHiHWTko1Kchsk5ffsh5z0GgCfOd4eN+yscZRs1FGqUChsoREgJ3zx41GyDI288WvBbZXLcFOJCpJ4jRER6UnFh2rYocIopFTtFp2OZxiIujHKAMkgHI1kzWugFHuxxXb4nQRJ0doXtkZ1mv/flZ2pamEMh1Lxo4MoauFGdmblkTUqSeVyOwy8BklERKS/RGFS7/ws/LhX4sKlGnHSXrEzvUo01QdVqCC2zeP0eGkRIGWkB7cCnw7T2GKpHiT5ORrJitvpbqlGJaUKkgAgq74aCCCMd7q+ETXldxngNkjSrazSmcggSdWyOox0vRNNRERi6TCNPeg+lVuqr6cUFm7bn1oESID6j1RUUeyFqVonRYVCz2uY5CRIinuPLnmoy2jhbsMlsBscHZvfEpudPZRNa0GGMqmeAMLAKHh2766pVv5Sam4auCavkeGlsc/zn4h0pUP5FcQMD690COjImjYBUoTfQZJJHTRVh/SpUui5CZOcBknpNfuBz4VtsmdOQqPy1C9rwuu1E3RYrMq1r8p2kDMqlrXkHEckidlv1UdGExHpToUb8254qWdZRwdDuwApgiOSzCIiRDq48eOUr8nseZKt93IaJtkNkqKdWNgazVu0TPnesX/nldMpak6eLCQy7LB6Lz+udwY2RGQl1d1SE9fIEN0gd7L4KhEROadrkAQkrxdS1R+sU/yjbYAUITNIMrEjqeooJMB9iGQnOEr0WjuBkpMwySpIin5qW+3+TJQ7HIEU5JpEia6B2KlVfl0rIkMlE69vIpKPw+7FYJhERLrKKF+HjJzsxv9388Rn2VSZ4SEK6wl1aB8gRejQsXQ6zM7toxF1vsD8LuycBkqRbbMTJFmNRtJJqutAlQAm2XbwEdtEJIvOda0dfgZkXDOMiHRmt39AZALHAdLYsWPxyiuvYO/evWjbti1+9atfYfLkyQCAsrIyjBkzBp988gm6du2KWbNm4cwzzwQA1NTUYMqUKXjhhRewc+dOtGnTBqeffjpefPFFsXsUJbbTGMRitIkaQSIaR2xgiRcdKCULk+xUFFajkfZXoXEtoWPzW6JFy+SLJAfBpLDFpH1RGcsiIhLJxBtkREREJnAcIN16662YOXMmWrRogfLycpx//vno0aMHhg0bhiFDhmDs2LFYuXIlFixYgKFDh2Lz5s3Iy8vD/fffj3fffRfvvvsuOnfujG+++QZLly6VsU8J+dmZZCPHPVWGXNoJk9wESRHV+xoeZdYt9TJIAIDPK+Q++uzY/IYNsVrvKLKtRLFY1hFZq6qsDHoTbNNlW0Uuxu1lsVYiCrfdbbqhplWr+F/sVeumMNoeCwCo3rE64A0hkzgOkI4//vjG/66vr0daWhq++OILrFixAvv27cMdd9yB9PR0jBw5EqWlpVi0aBGuu+46rFq1CsOGDUPnzp0BAJ07d8YNN9wgbk8UwQaGmSJhUrIgyc60th+zDjY+4vmdl+WNvnPD6VPWKLxYzhGlNu+ZZ4LeBNdUX98p0XqOydZ59LpPyf6eZSJRuOhcvhN55WoNpEmTJuGRRx7Bvn37UFRUhJEjR2LhwoXo06cP0tPTG1/Xt29flJWVAQAGDhyImTNnIjs7G2eccQZOPPHEJq+NNmPGDMyYMaPx//dVqX9njI0HsVQZhRQrWZDE+c9kOhHlXGz5XqnJyAeisNi4sxotWmYGvRkpJQp0ggi/GC4dxjKeiMhsafX19fVu/rC+vh5r1qzB3/72N9x5552YOXMm1q1bh5deeqnxNRMmTMCePXvwf//3fzh06BCeeOIJvPDCC1izZg1ycnIwadIkTJgwIeVnFRQUYPOmTQDUvCsWtsaBn+yGSE6exCZKsjWSEoVIdXV1qKxqOh1s4071zulkslq0TBj+krlSlXPde/RAebnzcWzR5TuR7qzKeNlE1yEs4+XStc3IMp7CLojyXYZWLVnGUzwnZbzrp7ClpaVhwIABeP311zFt2jQUFhbixx9/bPKaPXv2IDe3Yd2hZs2a4cYbb8SNN96IgwcPYuHChRg1ahT69OmDn/3sZ7Y/V7XH5+raECDvUo1GsgqR0tPTcURu07W4+ufmKnM+E8ViGUdkn1UZL9OGCj1GC9FhfOKcHiLTIa3aZ/zOwsnv8p1IVZ7jx9raWmzatAnFxcVYv3496urqGn+3du1aFBcXx/1NZmYmrrzySpxwwglYv369q8/tnZ/V+BOEID87TOxOB0s2GigoTqbgBX0+E8Xi+UikPl6j+ttQUR33Q2pINk2S3xORfLzW1OQoQNqzZw+eeeYZ/Pjjj6irq8O7776LWbNm4dxzz8WgQYOQnZ2N6dOno7q6GvPnz8eXX36J4cOHAwBmzpyJ5cuXo6qqCnV1dVi6dCk2bNiAgQMHet4Jvzo67OQHQ/UQKdn0OTfrOIXtPIve39h9D9NxUAWPOZFeeL2ah2FSsOwedwZ/RHLEXlO8vtTiaApbWloa5s6di1tuuQW1tbUoKCjAhAkTcPPNNyMtLQ1LlizBmDFjMHXqVHTt2hWLFy9G27ZtAQA5OTmYOHEivvjiC6SlpaFLly548skncfrppwvbGVnT29g400dmz5MCWQ8pGTtPaEsk0fBp3dm5pqJfE/3fJh4PFbCcI9KXqXUFNa3zdC6nTdmPZCL7aOr+Efkh2cg/XltqcL2Itp+8LsBnt1HFk1JtTkfz+BkkpRr95OXJbCZ1CkRdYyYdExWI+F64wCpR8Fg2kqy2rNsy/siOBXh11YaEv1ep7c0b0ETBcnIN8voSy0kZH4ol2K2mxiT7d1KT0xDGryltdj7HzVS2CJ6b8XhMxOGxJDIHr2fSbUqVKtspYztU2TciHTi9XnQq51Tn9Di6fgqbztjA0ldNUX9HYUwk3JE1GknFxbvDglM2vGNZSGQelo0Ukeg8UK3stzs1RdYT7Hi9EAXLyzXIqaPeuDn2oQyQSG+RkUhugiRAXJjkJDzyMoWNEmNHyT1WtETmUrFsdFLmqLbtplHx+KbqBMraZpnHgvUsUWqirkGukeSMl+POAIm05SZIAhIHP6mCJbejjRgeyaViR4nsq60LeguIzCTrwSJOP9/Pv2VdoD+R3yFHJhCpi+V1cLweewZIpD2n09oSkTEdTUR4JKKALfthb9LfF3fI9fwZQWKI5IxqjekwPJ2HKCh+PMVSletW5HawTlFfsiltiR4BHnSwShR2Mq89jkJqSlbZxwCJjBAd1IgIk7wSNerIy0WeKjSKfa0fIZLMu4FsFJqBd4yJ5PEStoftmmSdoh8735Vf32fYrhciFfC6S0xk2ccAiYwTRJgkY5qa2wvdSXBk9XcMksymS+XKIIlIjthRGrzGkvN7TR4iIlOx3PSPzGPNAImMJiNM8mNNI6cXvdvQKNl7mRAk2TmOfkzvUIWOHUUGSUTy8LpyjzcriIjUwfrsMNn1EgMkCg0dFrMOMjhK9N46B0lWDfxknxGmMEk3DJKISEUMkoiIkpNdPrJteJgfdREDJCIFOLnYZYZGiT7PhEW2Rf6N18I5iKDKlMqVC24TkYp4A4KicXooUQOWh/7x61gzQCIKkEojjlJ9ru4hkkgiG4V238tLpWBqI5YNdCJSEZ8MSkTkT6DBdmADP+scBkhEPtMlNIrl55Q2iuc2aDK9YmWIREQq4tQ2Yv1EJA+vreAwQCLygZsGpCrBUSxZo5FYEYgRxuPI9ZGISFUcjUREJBbbe8FigEQkgdvGoqqhUSxOaSMVcX0kIlIRRyOFF0chEYnB6yg5P29WMEAi8kDUhapLcBRNZIjESoFEY5hERKphkBRODJEojESUc7xu1MQAicgG0Y09kYHR6i27Ur5mQJc8YZ8XjSORSAfJrl82TojIb5zWFj5W3zfrHzKVyKcVk31+1S0MkMiRVCel7he8zIvO79DI6vWygiQvdD9nSG9s1BNREDgaibh+H5mGo46C50eIxACJAIhrwPgZMDkdEux3Iy3IwCjZ+4gOkTgKiUxj9SS7ROUHGzpE5AVHIxGRCViOhUdoAyTORw7mQhf9maoVVqJCI1GBUaL3VmUkUtivQdJDsnLGyx1kjn4iIqLoPgn7J+Gm4/qNqvXFSP6NCaMDpFQHTseL1Ate4GKJXvhaZmgkk9vRR2G45ig87DT67ZTBYauXiIioadnPeiB8rNoHqp4H7E+ScQGS25Pa1HnIvMjFkPWUNF1DowiGR0SHRUIk2VOCef0QEYWDqiECeeekrWA1td7NZ7n9O9KPzFFIxgRIMhrsOhbUvNC9kxUWRegeGkUwPCKK50cZzGCJiCh8+ERRdSQKZPzqh3kdMKEqnsd60D5AknkhqDwqSfUCQDcMjZxheESkHq6pRKQftudIBK6dJF+qaWbkHM9ZuWSNQtIyQPL7YlVhVBILKLFkB0aAuqGR1wW0GR4R6UPlGyFEYce2HYnE8l48XqPi8fzUn3YBUtAXsh+Fc9D76DcnYY6d8MKPcCgZVYMjwFt45DY4AlhZEAWNHQsitYStrUf+4Wgk93hdysXz0gzaBEiqXdAiG+Oq7ZtIosOcoMOhZBgcxWNFQaQWdiyIiMzGMt45k/tiquB56S+Z57QWAVJtXdBbkJjd6W1hKphUDnlEUzk0imB4RHaFqZwKM4ZIREREDdj2kY9tDn/JPqe1CJB0EdYCKEyBEaBHaBQRRHjESkJfMh/5SWpRYW0/orBiOUuysDx3hteifDwn/eXHOc0AiRIKWzCUSliCI8BdeMQKwgxBPZKWgsP1kYiIKGzYvpGH7QmzaREgNU9PfCLy4heLoVE8nYIjgOERicXvNjwYJBER6Ytlt33sP8rBczActAiQkomcqCwIvGFwFC9swRHA8AgAMrauSfmamqL+PmwJUTAYJBERkWnYV5SLbQY1+LEchfYBUgSnXTjH0CiebqERICY4ArwtmK0TOwGRm/dgqESmYZBERES6Y59QPrYT1CI7RDImQIoVfSKz4DiMoVFiDI+c063CEBEe2XlvhklkEi64TSQO26QkC5+wGY/Xm1w839Qlc5ZWutM/WLhwIYqLi9GyZUsUFRVh0aJFAICysjIMHDgQOTk5KC4uxttvv934NzU1NZg4cSKOPvpotGrVCoWFhbj88svF7UUKvfOzQnWCl/2wN+EPkShhuqackhlUEQVpQ0U1G+RERKQ81lVysR+gBxk5iKMRSMuXL8dtt92G559/HqeddhoqKipQWVmJmpoaDBkyBGPHjsXKlSuxYMECDB06FJs3b0ZeXh7uv/9+vPvuu3j33XfRuXNnfPPNN1i6dKnQHbHD5EdUMxzyJsyjj0gOjkgik3FUEpFzprZBiVTDa00s1vP6EzkiydEIpKlTp2Lq1Kk444wzkJ6ejg4dOqBr165YsWIF9u3bhzvuuANZWVkYOXIkjjnmmMbRSatWrcKwYcPQuXNnAEDnzp1xww03eN54N0y8ABgeeadbGKPb9qogyFFBGVvXcFQSGYujkohS4zVCspnYx6HgREau8LyiWLYDpEOHDmHVqlWoqKhA9+7d0alTJ4waNQq7du1CWVkZ+vTpg/T0w2/Xt29flJWVAQAGDhyImTNn4tFHH8XHH3+Muro68XvigEkXA8Mj8ioMi2erEt4wSCKTsYNMRBQMU/o1IrAu8sakfjLJYTtA2rZtG2pqarBw4UKsXLkSn376KbZv347bbrsNlZWVaN26dZPXt2nTBnv3NoQbkyZNwpQpU7BgwQKcfvrp6NChA6ZPn57ws2bMmIHCwsLGn8rKSpe7l1x0sproR2UMjygoql8bqgtziBRbvu+rklO+UzA4GonImg7tShFYxvsrLOeVXax/vOG5ZD4R33FafX19vZ0X7t69G3l5eZg7dy5GjRoFAHj33XcxbNgwTJ48Ga+99hrefPPNxtePGTMGubm5KC0tbfI+Bw8exMKFCzFq1Ci88sor+NnPfpbyswsKCrB50yYn+yWFSoUSwyPvdFz3CBA7fY1PXwuOaeside/RA+Xl5Y7/7siOBXh11QYJW0Qq0q3sIJJBpfakXUNPLWYZryCWqYfpeF2pgudRuG2oqHZUxtsegdSmTRt07twZaWlpcb8rLi7G+vXrm0xNW7t2LYqLi+Nem5mZiSuvvBInnHAC1q9fb/fjlaBSyh+GaUcyhT08Ku6Qy3OIiHzHBj4REYkSGfXKusUdlfq2FByn54CjRbTHjBmDRx99FNu2bcPevXvxwAMPYMiQIRg0aBCys7Mxffp0VFdXY/78+fjyyy8xfPhwAMDMmTOxfPlyVFVVoa6uDkuXLsWGDRswcOBARxtLFFYDuuRx4WwiMgIb+xR2uiyVQKQq1iPesPwhL5o7efHkyZNRUVGBXr16oXnz5rjoootQWlqKjIwMLFmyBGPGjMHUqVPRtWtXLF68GG3btgUA5OTkYOLEifjiiy+QlpaGLl264Mknn8Tpp58uZafCgFPY3NFx5JHo4CiMI49qivorN40tY+sa46axETmxoaKaDVgKvUTXADvHZIfVeWJSucrrgEg9ttdACpIqayBFBF2YMTxKTKeAKMgRRV5DJF0bJ6qFSIA5ayFxDSRyS9fyhEi2oNub0bgGkn50KltVOtdNp9N5Qf5x0o53NAKJWMCpLjqUUSFMUnXaWdkPez2FSLqOHIiENSoFSRyJRGGmYzlC5JfI9cG2J7mR7LyxW/aKGuHEc5jIHAyQHLIqNFkoqslJeBMJm1QNfGQIa4gEqBkkERERWWHbk0TqnZ8V14Zzcj7x3NOXru12UgsDJAEiBTHpK0zBUUQY10KKFTvyh4ESkT/YiCXyxsTRSbHlgkn75ic75auJ5w8R+YMBkoaKO+RyHSRyjIFRanamkokKmThtjcKIwRGRWKrfxGye7v66V33fVOT0WPMYE5FTDJAE8bMAZnhEyfgVFIW1I5go+EkWLMkKi6I/M9FoKgZVRERmYwhARKmEtd1O4jFAEojDQUk01UYNsfJJzI+gJllIleh3DJIoaCw3iOTToQ2q8raZwu7C2fwuiMgtBkgSyK7EOYVNfaoFP3aEqZOn6lpHyUIer9ssYp/DGEKJui78aqyH6TomoniqhQS1dWpsh99UrDvC+D0Q2wVhJ+O6T6uvr68X/q6CZWVloX379kFvhjSVlZVo1apV0JsRiLDuO/c7XMKw39u3b0d1tfNKyvTyHQjH928lrPsNhHffud/mYhmfWBi+fyvc73AJ634D4dh3J2W8FgGS6QoLC1FeXh70ZgQirPvO/Q6XsO43NQjr9x/W/QbCu+/cbwqjsH7/3O9wCet+A+HedyvpQW8AERERERERERGpjQESEREREREREREl1WzatGnTgt4IAk499dSgNyEwYd137ne4hHW/qUFYv/+w7jcQ3n3nflMYhfX7536HS1j3Gwj3vsfiGkhERERERERERJQUp7AREREREREREVFSDJCIiIiIiIiIiCgpBkhERERERERERJQUAyQiIiIiIiIiIkqKARIRERERERERESXFAImIiIiIiIiIiJJqHvQG2JGZmYn27dsHvRlERJRARUUFqqurHf9ds4wMtDiirYQtSq6mti7h7zKaO7u3kuy93LyfU6k+nygR2ecmmaOmcrerMp5teDIRq93UWL3oxUk7XosAqX379ti8aVPQm0FERAl079HD1d81z2mDvhNfAAD07d5O5CbZtnbTDt8/U9a+BrEvZL6grk1Sx+Jbf+7q79iGJ1NsqHAeoFJivfOzgt4EiuKkHa9FgEREROZbu2lHaDqqdoOeVMeDgRH5Ifo8C8s1SkQUwfBIvGTHlOGS2hggERGRMiId1b7d26F5ehqap6dJ+6xPvtwJAMjJbCbtMxKpPVSPg4dSj4FnQESqYZhERGHC8Mh/iY45gyU1aB0gZWVnIy1NXufCJPX19ag+cCDozSAisuXTr3bhrzedhtYtMoLeFCn27K/B8MfesxUiEamKYRJ5wXa8HCLa/Blb1zh6fU1Rf0+fpyqGR2qJ/T4YKAVD6wCJlY59PFZEpJPmzdKMDY8AoHWLDDRvloaDh4LeEiIxokcPEtnBtqkcbo+r09Ao0d+aFCb1zs9iiKSwyHfDIMlfWgdIRERhZ9Ww0b0i7du9HbL5+A4iLTFIIgq3jK1rGCKRrzZUVGvf9tUJAyQiIs2kasik+r3qlezaTTsw8Dg+9plIRwyOiMjEECmCYRKFHQMkIiIF+NkgUWlxwgyONCIyBsMjIn3VFPX3NI0tLBgmqUP1G6KmMrLlPnfuXKSlpSEtLQ0rVqyI+319fT26d++OtLQ0DBo0qPHf09LScPPNNzf+/5YtWxrfJy0tDenp6cjLy8PgwYPx5ptvJvz8119/HRdddBHat2+PrKwsdO7cGaNGjcKnn36a8G/efvttXHbZZSgoKEBmZiZat26N0047DbNmzUJVVVXj6wYNGtRkmyI/F1xwgbODpLANFdW+/hAFTZXzMKjro2/3dk06nqk6oV7K+Oif1q1bY9CgQVi6dKnl5xw8eBDt27dHWloaFi9enHB7XnvtNZx33nno2LEjsrKy0KlTJ5xzzjl46KGHku84kWH41ED31m7a4frHVJ988glGjx6NY445BtnZ2WjVqhX69euHP/zhD9i5c2fc6/v164e0tDT87//+r+X7ReqONWusQ5KBAwdatrFjfx544AEAwFFHHZXwNVbt8o8++gjXXHMNioqKkJWVhdzcXPTv3x/Tp0/H7t27m2xH//7Wo3fKy8ubbINoNUX9hY0cCkMY1Ts/iyGGBJHjmuqHguFoBNLChQtx11134auvvkJ+fj5KS0txySWXoKysDGPGjMEnn3yCrl27YtasWTjzzDMBACtWrMA555yDa6+9Fk8//XTje11xxRU47rjjMG3aNKE7FC03NxezZ89u0oEAgJUrV2Lz5s3Izc219T6//vWvcdVVV+HQoUP47LPPcPfdd+PnP/85li9fjrPOOqvJaydOnIiHHnoIF1xwAf70pz/hyCOPxMaNGzFjxgz069cP8/9/9u48Por6/h/4K4EkJCSQhBCQhMNwiQkSBCpXgXog1cphRYrCl1MRq2C5FKhIocXry/HDA4tC1X7x4vBora3K5YVAFNCkyg0alSMQAiGQbJL9/RF32Xvnns/MvJ6Pxz4eye7s7Eyy+5n5vPb9+cwrr+DWW2/1e84jjzyCBQsWoHfv3li4cCHatm2LiooKfPbZZ5g/fz727duHpUuXepfPycnBmjVr/NaRmpoq4y9jLlE6yx52nEOGrEG0z0IoRlYrya1eUNLG33bbbZg+fTpqa2tx6NAh/PnPf8Ytt9yCf/zjH7j55pv9ln377bdRUlICAFi1ahWGDh0atL6nn34a999/P4YPH45nnnkG6enp+P777/Hpp59i3bp1mDlzpqx9IrIyViDJo1X4Y8d5p55//nnce++96NixI2bOnIkrr7wSLpcLBQUFeO6557Bt2za8+eab3uV3796NXbt2Aahrr2fMmCH7NVetWoVz5855f3/zzTfxxBNPYM2aNcjJyfHe36pVK+/Pv/rVr7Bo0aKgdQWelz/zzDOYOnUq8vLyMHv2bFxxxRWoqqrCzp07sXz5chQUFODVV1+Vvc168YRITgiBtOA5J7LCeZ3I2P+yBskB0qZNm/DAAw/g1VdfRe/evVFSUoLy8nK4XC4MHjwYkyZNwtatW7F27VoMGTIEBw8eRFpaGgAgKSkJa9euxaxZs9CpUyfddibQiBEjsGbNGjzzzDNo1KiR9/5Vq1ahV69eOHv2rKT1tGrVCj179gQA9OnTB+3bt0f//v2xatUqvwDp1VdfxZNPPonJkyfj2Wef9d7fr18/jBw5Ev3798fo0aORn5/vPRCtXbsWCxYswIQJE/D888/7XTnh17/+NWbNmoVt27b5bU9iYqJ3e6zGKg0rLxNJerLK5yASEfZBSRvfrFkzb/vZu3dv9OrVC+3atcOyZcuCAqRVq1YhISEBffv2xXvvvYeffvoJl112md8yjz76KK699lq88cYbfvePHj0atbW1Wu0qkfDsFF7oKxdb/QAAIABJREFURe9qIbsESdu2bcPkyZNxww034K233kJCwqVzsBtuuAHTp0/Hv//9b7/nvPDCCwCAm2++Ge+++y4+++wz9O7dW9br5ubm+v2+e/duAMBVV12FvLy8kM9JT0+Pek6+detWTJkyBb/5zW+wbt06xMVdusLowIEDMWPGDHzwwQeyttUoDJLk4YTb5ASSh7DNmzcP8+bNQ9++fREbG4vMzEzk5ORgy5YtqKiowMyZM5GQkIBRo0bh8ssvx4YNG7zPTUlJwaRJkzB37lxddiKckSNHAoBfol9WVob169dj/PjxitfrKSs9fvy43/1/+ctfkJaWFrJ0tmHDhnjqqadQUVHhV020YMECpKWlYfny5SEvu5mSkoKBAwcq3lbSBoe7kZYYSGpDiza+bdu2aNq0KY4ePep3//fff48PPvgAQ4cOxfTp01FTU4OXXnop6PmnTp0KCpU8YmOVjRL3DOkLdyMSDd+XkRk91MzqQ9sWLVqEmJgYrFy50i888oiPj8fgwYO9v1+8eBGvvPIKunXr5j3HXr16tWHbG82f//xn1K9fHytXrvQLjzwSEhLwm9/8xoQtk07usDYth8JZDc/xlGNfyxoknd3W1NRgx44dKCkpQbt27dCiRQuMGTMGpaWlKCwsROfOnf1OlPPz81FYWOi3jjlz5mDjxo3YsWNH1NdbsmQJsrOzvbfy8nKZu1WnUaNGuO222/wOIq+++ipiY2MxYsQIResEgMOHDwMAOnTo4L3vp59+QlFREQYOHIikpKSQz+vVqxcyMzO93zL89NNPKCwsjPicUA4ePIj09HTUr18fbdu2xdy5c3HhwgXF+2MkqzeqbNhIK04dvx3YvrsuVihelxZtfGlpKU6dOoWmTf2v+va3v/0NtbW1GD9+PG688UZkZ2eH7JD06tULb7zxBhYsWICvvvoKNTU1krf/qpx0RQFRtICJgRMRAaHnVdKb2nP4mpoabNq0Cd26dUPLli0lPWfDhg0oLS3F+PHj0b59e/Tt2xevv/664v6DHG63G9XV1UE3t9sNAKisrMRHH32EXr16oVmzZrLWHWq9co4xWvOEQtGCIacGR744T49y7GuJT1KAdPz4cbhcLqxfvx5bt27Ff//7X5w8eRIPPPAAysvL0bhxY7/lU1NT/cYQA0CTJk0wffp0zJ49O+rrTZs2DcXFxd5bcnKyjF3yN378eOzYsQNFRUUA6r6RGD58uOT5jwCgtrYW1dXVqKysxJ49e3DXXXfhsssuw7Rp07zLfPfddwCAyy+/POK6Lr/8cu+yUp/jq2/fvliyZAnWr1+Pd955BzfddBOeeOIJDBo0yDLDJazemLJhIy1Z/fMgV2D7HtdAengeitw23nOy73K58O233+LOO+9EbW0t7rzzTr9l/va3v6FVq1a4/vrrERsbizFjxmD//v346KOP/Na3cuVKtG/fHo888gi6dOmClJQU3HDDDXj22WdRXV2tat+0wjCJyDyiVQLpHSSpPYcvKSlBRUWFrHPjVatWoUGDBrjjjjsAABMmTEB5eXnQ0GI9bNiwAXFxcUG3xYsXAwCOHTuGqqoqWfsDAF988UXI9bZp00aHvZDPN0wKvJE/Tv4sD/8+4pM0B5KnOub+++9HVlYWAGDu3LkYOnQo5syZEzTPRFlZWciT92nTpuHpp5/Ghx9+qHa7Jevfvz/atm2L1atXY+zYsdi5c6e3UZfqwQcfxIMPPuj9PSUlBZs3b1bUiLvd7pBD1aT685//7Pf7TTfdhDZt2mDGjBl4++23MWzYMMXrJumKSirZwJFmeElY5eS28c8++6zfHHWNGzfGggULcO+993rv27hxI44cOYJ58+Z5q2vHjRuHRYsWYfXq1X5z37Vv3x5ff/01Pv74Y2zZsgUFBQXYunUrPvzwQ7z00kv4+OOPER8fr8OeK+MJkUTr1BLZhVU+W+G202pB8+HDh7F582aMHDnSO3H18OHDMWXKFKxevVrVlBVSXHvttXj88ceD7pdaPRVOp06d8PLLLwfdf+LEiaD5+sh65PQheF5IopEUIKWmpqJly5Yhg4+8vDw88cQTqK2t9Z5o7969G5MnTw5aNjk5GXPnzsXs2bPRtm1blZsuTUxMDMaNG4fly5fj4sWL6NChg/cKcVJNnToVo0aNQmVlJT7//HP88Y9/xJAhQ7Bnzx40aVJ3oPVckcEzvC2co0ePeg8qUp8TzahRozBjxgx8/vnnlgmQ7DDJHCfaJj0wTJJHbht/++23Y+bMmYiJiUFKSgratm2LevXq+S2zatUqAMCwYcO8l1Zu0qQJevbsibVr12L58uV+k3bHxsaif//+6N+/PwCgvLwc48aNw7p16/Diiy/i7rvv1nq3VWOQRKQdO32OzJ6IOyMjA0lJSZLPjVevXg23243bbrvN214DwODBg7FmzRp8++23uOKKK/TaXKSlpXnnRg2lefPmiI+Pl32un5SUFHK9xcXFsreRrM0pV3hjP8o6JM/wOXHiRDz11FM4fvw4zp07h8ceewyDBw/GgAED0KBBAyxevBiVlZV45ZVXcOjQobBBxuTJk3Hy5ElDq5DGjh2LkpISPPfccxg3bpzs52dnZ6N79+7o06cPpk+fjhdeeAE//PADHnnkEe8yl112GXJzc/H++++joiL0nB7btm3D8ePHccMNN3if07lz54jPkUPphK2kDU60TVrjwVQaOW1806ZN0b17d3Tr1g0dOnQICo9KS0u9l4bu2rUr0tLSvLdt27ahoqICr732WsTXSE5OxkMPPQQAQfMBioZD20gNp79/rD5ZdSRm7Ve9evVw3XXX4YsvvogaltTW1uLFF18EANx6661+7fWaNWsAmD+ZdkJCAvr37+/tAxApZddzQg7rsx7JicOcOXPQq1cvdOrUCW3btkVGRgaWLl2KuLg4vPPOO1i3bh1SU1Pxl7/8BW+99RbS09NDric+Ph7z58/HqVPGHZiysrIwc+ZM3HLLLRgzZozq9d15550YMGAAnn/+eb8r98ydOxelpaWYMWNG0HPOnz+PKVOmICkpCX/4wx+89z/88MMoLS3FlClTvBPu+SovL8f7778fcXs8VwaKdhlR0di1sWCQRFqy6+dES1q28f/3f/+HyspKLFq0CJs3b/a7bdq0CWlpaX4dkp9++inker755hsAQIsWLVRtj1GcHgSQfE5+v9g5OPJl1j7Onj0bbrcbd911F6qqqoIed7lc+Mc//oH//Oc/KC4uxu9///ug9nrz5s3Izc3Fyy+/bPp8dHPnzoXL5cKkSZPgcrmCHq+qqsK7775rwpaR1djlnJDzQVmbpCFsAFC/fn0sX74cy5cvD3qsc+fO2L59e8jnDRgwAMeOHfO7b+zYsRg7dqy8LVXpscce03R9jz/+OK655hosXLgQL7zwAoC6S0p/+eWX+N///V8cOXIE48ePR7NmzbB3714sXboUBw8exCuvvIKcnBzveoYPH46HH34YCxcuxLfffosJEyagbdu2qKiowPbt2/HXv/4VI0aMwMCBA/Hxxx/jL3/5C4YNG4acnBxcvHgR7733HlauXIlrr70Wt9xyi6b7aAQ7DGULx7NfbBxJLTt/TlzVtSE7KUnx9UIsHZ5Wbfzq1auRkZGBadOmhbx89OjRo7F8+XIUFRUhNzcXV1xxBQYNGoRBgwZ52+XPP/8cixcvxmWXXab7/Bta49A2isapwZFTPxO7D5wy/H/eq1cvrFixAvfeey+6deuGyZMnIzc3Fy6XC7t27cLKlSuRl5eHevXqoX79+pgzZ07IsH7SpEmYMmUK3n33XQwZMsR7/6ZNm3DkyJGg5W+66SZZV0UGgNOnT+Pzzz8Pur9BgwbIz88HUDdX3/LlyzF16lT06NED99xzDzp16oSqqip88cUXWLlyJa655hrObUS2xv6QfUgOkMjfL37xCwwfPhwvvfSS35xOTz75JK699lo8/fTTuOeee3D27FlkZmbi2muvxdq1a3HllVcGrWvBggW4/vrr8dRTT2Hu3LkoKSlBYmIicnNzMW3aNEyaNAlA3ZC3evXqYeHChSgpKUFMTAzat2+PBQsWYPr06ZYdwmbnzjHgP2aZjScpZffPiQi++OIL7N69GzNmzAgZHgHA3XffjeXLl2PVqlVYsmQJHnvsMXzwwQdYuHAhjh07hpqaGrRq1QqjR4/GnDlzkJmZafBeaINBknGOHS31+7156zSTtiQ6p4ZHTmdGO3DXXXfhF7/4BZYuXYrHH38cx44dQ1xcHDp06IA77rgD9913H7Kzs/Gb3/wmbKXn6NGj8eCDD2LVqlV+AZLvhXF8HT58WPYFcjZv3oxevXoF3d+2bVscOHDA+/t9992HXr16YdmyZVi0aBGOHTuG+Ph4XHHFFRg7dix+//vfy3pdci6rnA+yz2NfMe5Q46YEk5WVhYM+jbBHg8REE7bGui5euGD2JkRkhcZQS2xYSQlRPydDeuUpmtwzoXFT9JgTfKnlpPh6eP8P/UI8wz5mvF2Ii9W1Zm+GZAyT9BMYInmIFiYxQHLu5+DIU6MVtfHhzuEBnsfrSfRzflJPxPNB9m2sq1379pLbeFYgkTCskqhrhUPcSAmnXI2DxOMbHji1E60X0YIiCi+/XRO+/4nIdCKdD7Iv4ywMkIhMxiFupITTAlcSC4e4kZMxRCIiUfj2HYw8L2SfxbkYIJFQnN4pDtx3Ns4UiUjfPpEzsSNNREQkBin9BjXnjOyXEMAAiQTk9BDJF6uTSAp+ZshMrEZyDjOuyCUqhqdEZEXsT5BaDJBISOwQB+OcSRSJWSXMRB6cI4mIiIjI3qx53XdyBAYloRWVVHpvRKHkZiQY+vnhZ1WZrw6dtm3Qkt+uCStViIiIiGzG0hVIbrcbMTExZm+GJbjdbrM3QRFWIkXGqiSKRM85kvR+z1XXuFF2wYXGiXG6vo5Zyi64UF1T1y57QiQ7Bi6B+2TXwIyI5ON5vD6ses5PRNZg6QCp8uJFszeBDMAQKToGSRSJlsPbjHqPVdXUYtgzn6F+PXt2Lqpr3KiqqfW7zwnzy8jdPwZOJCq+N9XjeTwRkfVYOkAi52CIJE1RSSVDJIpISVWSWe+pqppaVNWY8tKmcUKIJAfnVSIiIiISBwMksgxeslwaViORFNGqkvj+MQ9DpNCk/E0YMhERERHphwGSDcUdLQi6z9W6uwlboo9wHVsGS/4YJJFUfI+IhyGSMqH+ZgyVSGt8TxERkVMxQLKRUMFR4GN2CpICye0EOyVw4rA2ImtiiKQNhkra4fuRiIjI2Rgg2USk8EjucnYOmXyFClXsGioxRCKyJoZI+uDV4eTj+7AO3ytERORkDJAoiBOqlcIJDFnsFCgxRCIiCi1aOOL00IDhEREREQEMkIgisluVEkMkIutgp10cav8XVg2g+B4kIiIiXwyQKKy4owWOrEKKxupVSgyRiMTHjru9SP1/ihI08f1HREREoTBAorAYHkkT7XLoRERSsePubOH+/77Bkp6TgvP9F5koAR8REZFZGCARacgq1UmsQiISCzvuFEm094fSScH5vpMnv10ThkhERORoDJBswtW6u+QrsUldH6kncnUSQyQi87EDT3rg+4qIiIj0wADJRrQIkRgc6UfEMIkhEpHx2Lknsi5WIRERkZMxQCKGRibwhDYiBElmhUhK952BF1kZwyMiIiIisioGSDbjGwYFViMxKBKPKFVJRoRIWu1fqPUwVCLRMTgiIiIiIqtjgGRjDIysxewwScsQyejt97wegyQSDYMjbfRok6br+nceKdV1/URERER2wACJSEBmhUlqQiQnD8cjCsTgSD29QyOtX4shFBEREdkdAyQiwZldmRSNiNtEZAaGRvIYGRAZIdT+MFQiIiIiO2GARGQhgdU1eoQ3Uqt4RAyOWH1EgLogR+7VlRgaSWe3wEgKzz4zSLIPXoGNiIicjAESkYVpHShZOYCx8raTfHoFN6HW69thZGAUmRNDIil8/y4Mk6yL4RERETkdAySytcAr0clltYnI5QRKDFxIBHH1Y5HfromkjplZ4Y2dQqNwAY+aUIOhkTysSrImhkdEREQMkMiG1IZG4dZltTAJ0Dckys1IEGIYG4Mwe7BTSCOiaCGP3FCDoZF6DJKswcrBUbh21cr7RERE5mKARLagZWgU7TWsGCTZEYMjovCUBjwMhozXo00aQyQD2SU8URO6y32uXf5mRESkHgMksiwjQqNIr8sgyZwqJAZHRJcw8LEHViMp47Rgw8xhvEdMeWUiIhINAySyHLOCo0BxRwsYIhmIwRFRHYZG5GROC40ADvElsiIp/RU79CMCv0jm+br9SQ6QJk2ahH/+8584d+4c0tPTcffdd2POnDkAgMLCQkycOBFfffUVcnJysGLFCvzyl78EAGzZsgW/+tWvMHbsWPztb3/zru93v/sdrrjiCsyfP1/bPSLbEiU48sUQSf8qJB6IiBgaWVVeZorf74UnzkVcXuok59HeD6Eqmax6JTinBUYMi4jEpXVfRO++jZ59lHDn/kUllTx3tznJAdLUqVOxbNkyJCYmori4GDfeeCPat2+PoUOHYvDgwZg0aRK2bt2KtWvXYsiQITh48CDS0upOVpKSkrB27VrMmjULnTp10m1nyL5EDI+UqK2tRfn582ZvhirJDRsiNjZW99fhwYeoDsMj63DX1qKm8gIAoGNGQ1w47x8YtW0Y/rl7S8IfG7o2i/f7vfpC5ONI4PKBzwl8fE9xmffn2voJQIz+bXw4DIyISET1Du/A2YtVfve5DhUZug1xObnynvDNJ0F3JXTsrfo8PtoXxwyR7E1ygHTllVd6f3a73YiJicH+/fuxZcsWVFRUYObMmYiNjcWoUaOwdOlSbNiwARMmTAAApKSk4M4778TcuXOxYcMG7feCyCLKz5/HihUrzN4MVSZPnoxGKf7fqmtdhcSDDlEdhkfWUlN5AcUbXwcAFJu8LXL4RhinOg5CbVyi4dvgpOCIoRGR9ZRfrMLyf3xm7kYUqX/9ydldgs7jZW2CAFdgJnPJih9nz56Nhg0bolWrVigvL8eoUaNQWFiIzp07+yWZ+fn5KCws9HvunDlzsHHjRuzYsSPq6yxZsgTZ2dneW3l5uZzNJCITaBX6MDyyt8D23XWxwuxNElKPNmkMj8gRdh845ZjwKL9dE9uHRzyHJxJbXPEeRc8rKqmUFR4xaLIvWZNoP/roo1i0aBEKCgrw9ttvIy0tDeXl5WjcuLHfcqmpqSgrK/O7r0mTJpg+fTpmz56NjRs3RnydadOmYdq0ad7fs7Ky5GwmkWHkji32bbSH4CSSUOP9PTW3o2bbpRVPqWz5hSqs/lDfYYQMjpwhsH1PbtLMxK0RD0Mj+/if0aPRMDlZ0XP3nTb2xLuy4jw++Udd5VSX7MbYdbwqyjPUc0po5GH34MiD5/DkBIHn8GaS0n8od9Xi7/siz8EXCcMg8iX7KmwxMTHo0aMH/v3vf2P+/PnIzs7G2bNn/ZYpKytDSojSuGnTpuHpp5/Ghx9+qHyLiQQhOzw6WoALPr8noQYNUXtpfUXfRF1HeleZY5/VKq7bJlfVpe2MK94DdOobcnGlQ9kYHpHTMTiyrp1HSkP+/xomJyseJpBYGTyHkV0wOCIiqws8hzeTq+gbXfoHWoRGodbBc37rkx0geVRXV+PAgQMYNGgQnnjiCdTW1nqHse3evRuTJ08Oek5ycjLmzp2L2bNno23btsq3mhzH1bq7LSbSVjvZ3ulddc83PEiSwffAEOngwwMIEYMjK/O9klm4EIkucUpwxMCIiIykRZ+AFUYkh6Q5kMrKyvD3v/8dZ8+eRW1tLT799FOsWLEC119/PQYMGIAGDRpg8eLFqKysxCuvvIJDhw5h2LBhIdc1efJknDx5klVIZFmu1t11vSymFJ4gSXShQqLcjASGR+R4nOPIunYeKfULj7Qmwom8Vu9Nz/xGTgiPnDC/ERHZj9HHHBGOcaSOpAqkmJgYvPjii5gyZQqqq6uRlZWF6dOn47777kNMTAzeeecdTJw4EfPmzUNOTg7eeustpKenh1xXfHw85s+fj3Hjxmm6I2R/ZlchmR0a+VL7bUOkAMqzbq2qnRgWEV3C0Mi6ooVGO4+Uomsz+UPPzD6Zzs1IQMF5/7kxtAjInBAaAaw4IiLzqD1HN/v4Q9YkKUBq1KhRxImvO3fujO3bt4d8bMCAATh27JjffWPHjsXYsWOlbyXRz8wIkbQMjuJycjW5BKcSUquWApc7vasI5xELoLkOW0XkHAyPrElpmLLvdCW6/zwHkogn6b7hfof0BES+vIl0TgmOAIZHRETkPIrnQCIyixEhkh7VRq7W3YFvPlG1DpHnPiKi8BgeWYvU0Mg3LMlv1wR7isvgGymIGBwFKiqpxIXz2mwnwyMiIn1ZuS/AUQn2wACJ6GciDVHzZeUDBRExPLISJcGR731Xt07SepMswynhEYMjIjKD1fsDDI/sgwESOZqZoVFqbkekxEuax14T6V1zLTP5NpFdMDyyBjXBka+iI6Xo9/PPe0vOI79hiqLtKTzhPydRXqay9RjFCeERgyMiMoPVgyOA4ZHdMEAixxG10sgIDJGIjMPwSGxy5jaKFJAcO1q3nuatQ/+/A8MgJcKtQ2mwpOXJvJ3DI4ZGRGQWvYIjV3YXJOqyZnIKBkhke2YGRkUllcKl7gyRiPTH8EhsWlQceYKjSLQIj6SsX02FUqirsEllx/CIoRERmcUO1UZkfwyQyJI8oZDvZNpmVxaFmyzVN0RyZXcBYM5V2IiInM6o4MhohSfOSQ6RtPpSg+ERETlVam5HuIq+CfkYQyB/on2RTuoxQCJLEzU0Uiq+Q9ewj1Xt26XpaxGRPlh9JB6t5jiKFB4dO1qK1q0uTaK9p7gM3do3lLaBFsPwiIiczrein6FRMAZH9sUAiUgBucFRqKFscTm5iE9qIHkd4cIlJcESh7ERkRMYERyV7PsSAJDR4WqcLC4DmobfBrPDRS1O6O0WHjE4IqJwPOf7uRkJIUcRMDgKxuDI/hggEcmgdcWRFuI7dGV1EpEgzA4IqI6RwZGc7ZAzcbeR76UO6QnYKGE5O4RHDIyISAoRz/nD8f2S2ag+AYMi52KARCSB1INIqAlTjbj8sufAIeegwSokIrIbM4Ojkn1fotUVnSW9vhSefdEqSLLbyT6DICLSi8jhUaTpLjyP6xki2e1YQvIxQCKKQMoBJNpVduRMbqqW3IMGQyQi7bD6yDxyKnvUTJAtperIDNGOMXY44WdgRERGEC08ihYYGcUOxxHSBgMkohC0CI5CrbOlT9vryu4CV0qK35XktMAQiYicQE5oBOg/XM0sRoZHUkIcLYe5MTQiIqcyOzhiYEThMEAi8qFHcBSNlCvJyQ2ZGCIRkV0ZGRwBkcOjilM/AgCSmrQIeqzoSCk6tU+UsIXhWbGqLVToIzVUYmBERGYSpfpIz/AorngP0Klv2McZHFE0DJCIfhbtoKEmOFI7jM0TMskJkji5NpFxrNjRtxqtgyNAXdWRJzzy/BwqRNKbVYauMRgiItHZJTxSc+4vyjGDxMYAiRzPjKojpeQGSXJCJFYhEVmbmkmXI4UzZodjcoMjwNjwSC/R/u5WCY+IiCgys4erATxmkHQMkMjRtK462nmk1JDOlpwgiZVIRPbnG7L4/hyqPfINmqSEM0a1a+FeWw61wRGgLjw6fehroGlc1G2IhuEREZFxjKw+EiEsIlKDARI5ktZVR3I6b1pyte6u+STcRCSP2RU6kUQKYOSEM0aGSHpVHAH6hkdaEPm9REREyhkRHPELYzICAyRyHC3DI7kdnX2ntf+GQ0qIJLUKicPYiKxHSeCi9HX0CjjU7IMWVUeA+Vdak/q3ZfUREZF29K4+YsUR2U2s2RtAZCQpQ9a0DI+M6thJuZKb1ANYetdctZtD5BgiVIyIsA1K7DxS6r0psfvAKUPDIz2rjxgeEREZT2p4pDRkMjI8YvURGYUVSOQIZlYdGUXLSiQiik6k4CZwW8K1U57llLZjaquQtGo/tRqyBpgfHkml5kqeRETkT07fQG77a8Wqo6KSyohfQkT7e/ELDOdggES254TwyINzIhHpT6TgKJxo2yh1Am256/WlV3tpt/BIyt9USueFJ+9ERNJofREdX2aER3p+OSy3SovHIvtjgES2JbXBs0t45BEtRGIVEpEyVgiO5JAbIoW7opvU6ie1jA6OjKBVeERERNLoOeeRWZVHWp3ba/G3YZBkfwyQyHa0Do4AbTpEhSfOoW1D1auRhJVIRNqxW3Dky3ffog17C8eIcN2s8EiEeY+k4Ik6EVF0Wl+F2ZcVh63pKfBvzeOUfTBAItuQk5obWXVk5OWvpYr2TQWvxkZk7+AoFBGGpwWSGhwBYoRH6TmdAXwbdTmtJs0mIiJp9L7amlW4srsg0YTX9f37ywmTlD6P9MMAiSxPj+AIsM6QtXBYhUSkjNOCI7lEqjjyMDs8SmrSIui+3DZpqA2xLN9fRETG0mN0gmjkDmMzM1BT+trhnmeVYMnq2+/BAIksSW7D46TgiIiUYcdeDGaHR3rie4yIyFisPLI/Ua8QJ2cCciuFSAyQyDL0DI0AewZHrEIiCo+debHIDY4AfcIjva+6JhWHrxERqaPXKAWyFqUhotxQR01YaaXJxxkgkdCUfBCVHADsGB6pwfmPyK4YGqlj9hXWPKQER4B1wyMiIlJHbh8iLzNFVYjkGT5mxmTavLqyPsyoXrNCkMQAiYSj9MPK4IiIwmFwpJ4e7aVeVUeAeOER34NERMYwc9ia0UGSmvCo8MQ5VrsKSuRhbQyQSBhGBUcMjfhNBTkDO+xic1J4RERExhBlziM9gyQtz+MZIolL1GokBkhkKlYb6YvzH5ETMTjSntbtp57hkVwMj4iI7EFteKR2GFsoWgRJen/x69lnBkliEq0aiQGU4TJ6AAAgAElEQVQSGU5N487gSD1WH5EdMTTSh9WGrQHiXHFNDTkn8SKdVBIFqq4Vr/NDJFduRgLOnqtStY5Q59+hQiUzz9N9+1kMk8SiVzuqpF/OAIkMY3RwBDg7PFJSfcTJs0lkDImMIcpE2R56hkciVh8xPCKj+baten3+fc8B+b4lPWg1dE2PKqRwRP5Sl0Pb7E3N54UBEulKbWPO4EiZcOFRpAMVwyMyQ3z9WAZDgtCz3RQxPNJaRoerAbhCPsb3OBkt1Hsu8DMeaplw79W3tNksAKxIIvFFC5HOFO2FC7UAgPSuuUZtliSe83m528WwSGxatplq++cMkEgXDI7Mw8ojIhKJEeGRElauPtK7892jTRqPpxYVKay0U5Ap6uSyZB9S22OlgY3WAs/lfX+Py+0U8bkMj8QlYhvHAIk0ZVZwBDA8ihYchao+khIcndh1GBfi4oG85oq3jYjEJdqQNUB+eGRm9VFSkxYRH5fSaRclOCLrslo4pLQKKfA8k9VMJIpo59RaB0xyvvw9U7QXQOjzeIZH4hJlzqNADJBINS3eiAyO1IkUHoUbtsaqIyLnEnG4mgfDo2BGd5B5XLUOqwVHvqSGP9HOMxkikRXICZiMOkdneCQeK7RlDJBIEbNDI8A6J7h6n9zpGR6d2HU46D7XoSIkduorbeOISAhGtZdGh0dKaTF8LVp4FA2rjkgJKwdGoYQKf7SaDJnISvjFrnX4tllatldWOd4zQCLJtPqAOCU4AvQ90VMSHAE8QBE5iVWCI0BZeGRW9VGo8Khk35dodUVnSc8XserIF+dAEo/dgiOP3IwEBkZEBoor3gPwi2BFQh2XtWrDjDrma7G9DJAoIlFCI8BawREQfLKXl5mCC+fV/R2UhkYeDI+I7M/ottKs8MgMkaqOAq/C1iW7cdAyogdHJBY7h0bhfldy3snPDBkhrniP2ZtABpPatniWs0oYrjZEYoBEfrR+4zsxOALCn/R1SE/Axp9/jiveg7ikBgAAV+vuIZeXckU1tcFR4DC1zK6Xh7yfiMRmRltpZnhkZPWR1OFqTbMbA2EOo9HCI3aCycOOwZFeHTF+bgiwTsfdCCd2Hfaey9udFnOoyV2flOdb4f2oZlsZIBEAMYMjwF7hUSRSgqJAWlQchQqJGBwRWYOZ7aMWwRFgjcojvec6YgeY7BgYedSPVfYe59A2ksrp75Nw5/KihkjR2gMp/085bYoZx1irBUlyt5MBksNp+cbWKjTycEp4JFe04EjNBNnhHP/qJJAneXEi0pHZbaMI4ZHa6qOkJi2iTqStNjgCIodHep/U+n4xEa7KNZSOGQ1x8LweW0SB7BwcaSFax4bhKzmVlHN4kUIk0QMfvUgdnmv2Pst9fQZIDsXgSHuRTgTVXCZTSqURoE9wBAA/fnEMSEqU9Rwi0pYo7aII4ZFWPAGRb5CkRWgkhV4ni+GqWeOOFsgKkUg/DI3kMbtjRWIzq8KjpPB7NMzLMvx15Z7DixAi8TNcx05/BwZIDsPgSHtKTwZdh4qAvG5+90kNi3zpFRwRkRhEaRtFCY+0nvtIi9CobgLt6PQ4gZQ6BFpqiLS35DzqJzZUu1n0MwZGRPowe3iQ57xa74DGyufvdgpN6BIGSA4i0hXVAonSQZJL7YmhksDIw4jg6Mcvjil+LhHZhyjhkZV0zPAPYbQ+kVYydx4rkfTHwIhIX2YHR0ZieEQiYoDkEAyPzJebkYCz56pUr0fL4Mg3IGrRrbnibSIifYjQPmoVHjmZlifSSoKjwOczRNIegyMi/YkYHukxTMzKwRHA8MjuGCA5gKjhkQgdIzWMPFmUGhoB0g86gdVFP35xzC9EYvUREWlJi+ojrYevGUGrE2m1wZEcVj8+G43hEZG+RAyO9GL18IjsjwGSzTE8siY5gZEvpeGR7/2sRCISgwjtJKuPpGveOg25rZOAvZfuEzU88qyPlUjqMTwi0o+TgiNAn/DoxK7DaNi1rebrJeeK1WpFAwYMQIMGDZCcnOy9devWLfoTSXgMj4yld3gUDSuPiAhgeCQKIyuPiIhEwfDImjh8zf40C5AAYNmyZSgvL/fevvjiCy1XTzJp0fDqMecR1TlTdOlr6tO7irw3JeQcdKQERIHLfFV6QfY2EZFyZgftWodHWk2eLfVqZyQNwyl1WH1EpA+GR0TiMmQI22uvvYY5c+agtLQUEyZMwCeffIJ77rkHY8eOlfT88+fP4+oQ1UzXXXcdnnziCQDAzFmzsHHjxqBl7r7rLtxzzz0AgNtuuw2HDgd/QB9/7DHccMMNABDydQBg7RtvoG3btjh48CCG3357yGW+/Dkw++CDD/DgQw8FPZ5z+eVYt24dAOC5557Dyuef13WfWnTtBwC4/bpeIbd38ao1aNkmB98fOYTpE+4Mucy8V98HAHy9bSteXbog6PHMrNZ4YOlqAMCHb7yETeteDlom75p+uGP6IwCApY/MwXd7PgtapvONI9D5178DALz72BSUHfs+aJm+Y2egVX4fAMArDwwLub03Pfj/kHpZK5z56Tv86/GpIZe5Y9mbAIDvdn+KT17836DHGzdviZsfWg4A+Pq91/D1f14PWqZVl97o8adFdduy+E8o3P5R0DLX3vY/uP72MQCAP4wfiZIfjqK2thanT58GAPwfqjH/xp4Y0K5l3fLPrA25vat+NxCXN2mMw6fKMOG194Mer75YhXXX9gYAfHaiBEsK9wUtk90wEcuu6QoA+Gf5KfyrPLhz2LVBMu5Krbuc9fNnfsSui+UAgAs1tUBsLPDMM+jRowcm59Z9Vpz2eeI+Rd4npSorKjDn9uuC7vdtN6R8xpb9YTxO/HA0aJmRf5iHzr36A0DI1wGAqYtXoVnLNjj+/RH8v+kTQi6z6I26v7NWbaGUfTKzLbxYVYMGTVrgyjF/AQD8tO0t/LTt7aB1pLbvjpxbfg8AOPSPZ3Bmf3AgcVmvIbis11AcO1qKn/71KFxng0PsjN5jkdSqro367rXQ23vZrx9CXOPLUFNxGhVfhW4vU3pOAgC4Th3Exf0fBj0em5iGhl3q3suV3xeg6ofg92/99Bwkdqj7bFzY9wGqTx8KWiY+qxsSWtYN/zq/5w1UfPkSfoyrh2/iYlGvqq7tTM5qi+6tfwtA3Wfs6w1/BQD855MdmPnY00GP57RqgbeefQwA8OyaDXju1beClrm+Tw8smX0/AGDao0/hw093eh9zxyeitrYWbdu2xS9+8QsA1jkO9x03EwDwyd+eNOXc4s34et6fzWgjjGz3lOI5PPdJyT7dfuvwkMu8sXEbAGDb1o1YuuCPQY9ntW6DpatfrVv2peex7uXVQctc0+9XmP5I3Tn84j/NwfaPNgctc9v/jMftY+4C4HMOX1mB0+cqAAAvVl7AjNz26J2ZAQDot3gN6jeID1pPtHN4AHitd92xRMo5/OuHvsfaI/7tWPWFar9z+Ffiy/D5Sf/z/NjPCtChRy9vG3/bbbfhm/3Bx7Y/zPszevWvazOU9h8T6sdY+r1nx8+TlH2SQ9MKpFD27t2L8ePHY+XKlThx4gRSU1NRUBD5G68lS5YgOzvbe6usdFYKbVdmf6OuNSvuD4enkdkC23eXi+17KKxsICIr4jk8kXTVF9Vdnbn6QnXQfedPnFe1TqJoYtxut1uLFQ0YMAA7duxAfPyl9PW3v/0tWrdujT179mD9+vUAgJqaGjRv3hxPPvmk5AqkrKwsHDxwQIvNdBTRhrBZMXCJRmonLy8zBbkZCTh77hxWrFgBABiJY2iIWtXboPXwtUBflFTAnZIE/L7um/SROIZWs5bIXg/ZW7v27VFcXCz7eenNLsPSf+3QYYusz8w2U4/5j7Qaxibildg8Q+tat0pCv8rtAIDrRoxH99YZqtet9zAzV+vufsem7OtGYNdxdZ0ap3BS0Dt3SC9FbTzP4UkJ0Yaw5WYk4MI3n2D5P+oqHW8o3IlEl387mdn1cu/Pgefmvo+FW0aJcOf1gRfEuRAXjw/yegAAptzSG4md+ur2N+YcSNYk5zxe0wqkJUuW4MyZM97bqlWr8OOPP6JVq1beZerVq4esrCwtX5bC4AdYf2o6eKm5HZHeNdfvpkSog1I4WlxhLTW3o+p1EFF0Pdqk2aqD2ry1NvvitHmQXK2763a1NF6FTR07fjFGJAIr9mE8gVCoYMj3vhO7DusaHpnJiv83kk/3IWwtWrTAd9995/29pqYGP/zwg94vS4LhSZY0SoMkPUOkbhlJcjeHiDRkRoiU366J4a9JkWkd9jA8IiKR2S2M4ETZZBe6B0jDhw/He++9h02bNsHlcuHxxx9HaSnDBKOobXzzMlM02hL70iMcC6xMkhIqZXa9XHKQFClEatGtedDjV6UlSlovEenDLiGS06qQtB4ioEU1kp4VTU7EL8iI9JObkWCZIEnOl7laCHW+7rnfLKINPSR9aBogPfDAA0hOTvbemjdvjk6dOuH555/HhAkTkJmZiVOnTqF7d564kPOobVSlhklygqRAvgcdMw9ARBTMjCFt+e2aaB4kaRUiWUVRSaVuQZKcIIjBERFZFYOk8DxBUrhAiUhrmgVIW7ZswcWLF1FeXu69HTtWNzbzzjvvxOHDh1FaWorFixdr9ZIkkQhVSHaaxyMUo7+BlBMkhTuQBR5oeNAhsgazgiQtaREiiV6FtLfE/0o4egRJgH+YFCogYnBERHYhapAkJTQyOliKRsS/I1lDfbM3gIyRm5Gg6sQ1LzNF9RXZPB0eu5Z77zxSGrZTV3jiXMggLr5D16D7qvbtkvyanhDp9K6iiMt5Dlqhxl8zOCKyJt/2xoh21RMiaXWFtuat01RfmS2jw9VCXpUtkqKSSl1P3BkWEZHdedpQDpkSj97HODKf7nMgkTg8qb3SD3VeZopm1Uh2u7qQEnE5oSuI4jt09btJIWeeJDkYLhFZg5FtqpbD2pq3TlNdjZTR4WrTq5HChVjhvnjRqxqJiMhJRAgq5J5bm1GJlJHX0vDXJPsypQLp888/N+NlyYea5N43RGJVkr9IVUhKyalSSu+aK6kaiVeCILKnHm3SDGtPtaxIsks10sniMqCp/32e42SoL2A8x2AROkFERCRNRl5LNERt2Md9K/9DBUZSQiQrn6v79i95fLMfDmFzOLUloFqFSYGhi5UDJT1CpECeUClUkORbiRQuTJITIrXo1hwX4uIVbCURmcGqQ9s8lUhqgiRPJZLZQVIo4YYyAwySiIiUUjtNh57UVBtFmn7CSnh8sx8GSATA/0NtdpgEWD9QkhsiBc5ZEXe0QNLzIgVJQOQ5ksIdmFihRGQfRlZ5+g5rUxMmaRUkWS1EAjh3hFUZ8cURETmTbwil5Pw8s+vlOB99Md0xSLIPBkgURLQwCQh/FTeRg6VQJ5T7Tl/6e7qyu8CVEroj4RsoSQmT4jt0jTj5tpQgKfA+hkhE9mHFqiS1w9rMCJGaZjcGfm7m9xSXoVv7hkHLSAmRAJ5kExFJJXIVkpbkhkmiXfkN4PA2O2CARBEFfrDNnjMpkOiVSlp8Kym1OilaNRIgbY4kIrI3I8MktUGS2mokkSuRgNDzInkwSLIWViERkZGihUkihkeBlIZ+PC6aiwESyaK2OknPMAkw/lt2OQpPnEPb4C+jZfMESpGCpEghEhGRh1FtptrhbWqCJDNDpGihQrRqJIDD2oiIpNC7CsmV3QXAZ7qtXw0rhEVaYhWTuRgg6UjqPDZAcJWJFWgZJgHOq05SK1KQFClEklqFFG4YW1xOboilicjqjA6TlAZJIodIoa7CxhDJOViFRERkLFbrGo8Bkk7khEfRlrdCuCT6UDfA2MlkfZl1QqlFiEREzmREAK+0KklpNZLeIVLJvi/R6orOIR9jiOQcDJGIiIzHY6RxYs3eADuSGx5JWV/gTXS5GQnemxJ5mSl+Ny3Z7cQuUsDomReJiEiNHm3S/G5ay2/XxC9QksITJMmR0eFq2c8xipQvTpwwSawd2K3imcgqtA4QCk+c0+VLbRHweEJKsQLJosKFSCJWK2l9VTdAfYVSjzZptjrBc7XubolgkYjsIVSIpEWbmt+uiexqJNEqkcKRUpnCSiT7YCUSkbVF6muk5naEq+gbv/s8VzwG/K967Hu/Whw9EB6Pi8ZhgGQzoUIEkUIlLcIk4FKgpCZIsluIJBeHsRGRlrSaQ0nuHElK50XSWl11k0v1eqSESHpz+vGRiJxNSv8iUjCkZWgUbb08lyejcQibA4g69E3tMDcAqoe4GfHtoNnfQCodxhZqAm0ikidwOK4ew3JFpMVQNzlD2pq3TpM1pM2soWxahTIcemANDOGIjOe0SpT0rrneW7jHU3M7en+vu5ockXKsQHIYUYe+aXVFNyUVSXb5ptWoYWyuQ0VI7NRX99chsiopAZHeFw0QhdqqJCOGtIlIhCok0obnfW/2l0lETpKbkaB6pIMVj816VT4R+WIFEgEQq0pJbUUSEZGVhGu3QlUsWbmKSWlVktzJtaUSvQopWueFVUjWsvNIqS2+rCKyCrWjHIgoNFYg6cDqExp7tt3MqiRPg6+0GknutwZGVCHlZabgwnlxvs3gmGkicUQLhEI9Hu45on9r6gmR5LS5cuZFskIVkugTLDPo0A8rkoiMpbQayapVSE7EoNBYrECisESoSFL67YEVv50nItKCVeZbEqkaichorEgiMg4DBiLtMEDSidlzCmnJ7BAJUBYkidxxEh0n0CZSTrRvLEUOk5QMa5MSIkmdUFvLYWwl+76UtbyU8EC09xJpzxMkMVAi0peaEEntkOH4Dl2j3oisgkPYdGT1oWy+RBjWBqifFC8Su0ymTUTmE3USZFFL8uW2v3In1zZD0ZFSdGqfaPZmkMX4fg44zI1IW3KnyPAcx3MzEnD2XJWk5ygNg6Q8r2rfLkXrtiNWlZmHFUg6Mztw0ZrVhrWJ2IHTi9n/FyLyV3jinPcmEpGrkeSIVokktQrJTKJ+acHgQgysSiLSh57hg54hj90rlTx9PCk3Mg8DJAO4WndnkKQDPUIknjQTkR5EDJJEpHUbLCVEMutqbB7RAoJI7xteic0ZGCIRaU/PIIKVQvIxFLIOBkgGsmuQZCaGSMqld801exOIHEekIEnEKiRAXhts1qTaFad+RMWpHzVbHwMCiobVSET6cGqIJEpgw4oi62GAZAK7BUlmVyNJbXjkDNtwSohEROYQKUgSkZYhktZVSL7BUbQQSc48TZHCAb5XyIMTbhNpz0kBRlzxHrM3wctJf3c7YYBkIgZJ2uK8SERkNb7zJEW6icSoOZTkXKHNzPmQtKxEUoLD2JyLQRKRdvQIM/SoQrLLPEgMj6yLAZIA7BgkmUXLEIlVSKSUJ0w1e4gn2YceQZKS9fm2nZ4gSe8wyagQSa+5kFiFRHpjkEQkLtGHspmB4ZG1MUASiJ2CJLNDJKlD2qKxe4gUbh6kzK6XG7wl9hH43meIRFrSqipJbXgk5zEtMESKTI8qJLsf/4iIAlkl2DCiCkmvK6JZ5W9M4TFAEpBdgiSzO84MkcgMoT67rEYSl5XnE4kWJBk9JM6IEElKe6z3cLakJi0UPW/3gVOygqRQWIVEkVixHSMSjVWGsolEapDE8MgeGCAJzBMkWTlMMrvTLKVBkzIEw+ohkl3GS1ud2Z8H8hfY2bJqmGRUSCRKeKF3iCSlCklpiCSVKFVIZD1Wa7+IRGSFoEPPc3ul+x+pOskKf1OShgGSRVg5SBKh06xFNZIWIVKHdPEaz3DD2Eg5q35WnSRaJ8s3TGKH7BKrhUiRgiSzQiSpVUjh3nei/A+IiOwssO+g9uplTp1QW8kwNxIbAySLsXKQZDYtqpHkXBXIs7wR9AjpOA+SOqE+q/zsWhfDpEvCVTgZHWxoMaRNixBJ72qkUML9rbWsQuJ73br4vyPShtbhhwghkiu7i+bbQM7CAMmirBYkiVCF5CE1SIpESsfFSsPeWIWkHzsMRbUjNZ9Phkl1jJhXSQotQqRwQZJek2pL5fT3GCnH9w6Rvk7vKsLpXUWyn1e1b5ft50Qie2OAZHHsnCqnNkQCLgVJoW5GESmcI3IadtLEIKXdVTqkzewQKRwjqpCIiCjYmaK93p+VhEgAgySyLgZINiJ6kCRi0BGtGknKBNtm0vJvGqoKicPYyM60CnpZjSQOvYa0ZXS4WpMgKVqIJRdDJIqE7RKRMZSGSICYQRKPIRRJfbM3gLTnGyKJGNqIKDcjIWJj6QmRlA7T0CKE4v+SSGw7j5RaauiqXXn+B5E6z54QJ9SE1p4Q6djR4OdndLgaJfu+DLnOuoDJFfJ1zFBUUsmJS4ntEpFF+IZIcuc1iu/QVfMQSqtjCI9F9sMAyeYYJknnadz0DJJ8xRXvQVxSA9XrkULqQSW9a27QtyiZXS/HeRYrkk31aJOm6bf0nnWxw2Y+Kf/baEGS3BDJDIUnzmleKcvKFSIieU7vKtJsTtGqfbtkhUiiVTAFYohkL+wVOojZ8yWJPLzOlxZXawu3XiISjx5hD4e1iUHtldrUzIuUK0CIyGEIBDAQJDKKmqFsgTxD20KFQ76P6RkeqT2G+D6fxyP7YAWSQxlZmWSV4CiQnIokIHxVkplzKIn+jQSRKLSuRPJgRZIY1AxrCzekzRMilez7UpeJtrV6z4j0zW+ofWK4YQwOZSMyhpaVSB5mns8rPYaE6j+JdDwi5RggkTfg0TpIsmpwFEhKkASYGxQFUnOgCTWMjcgJ9AqRAHbeRCE1SJI7pM2jaXZjQOWXrHZ8n0TaJyn/EyIiK/GcR2sdJJlFbvATqc/EEMn6GCCRl1ZBkl2Co0BSgyQ5ogU9dhr/TGQFeoZIJI5ooYXcaqRor2M2K5yw87NHRHYjYpAUV7wH6NRX9vOkHkek9JOscEyi8BggUZBIAVCocMmIwChcqGVGWOXb4EkNk0I1kq5DRWgQH3kaMoZCRMbTczibKIEC1ZESJEmtRmreOg1wXzomdMlurOGWOgNDJCKyIz2GtZkhUvAj9wt2hkjWxQCJZDEjsIlUERWtWkrv7VUSJhGR+BgiOUukIEmraiS9SB0+bZWTdYZIRGRHdgqRPHIzElT1f6xyXCJ/DJBIaGqH0wU+X89ASUoDGFe8R7fX1xLnQSJiiOREkf7n0YKkUMKFO+EuuiCFEfPtaf3e53teDPw/EJlLxCFtavDLc2digETC0uPqcL7rtOtcTUQkPnbkxKV0fiQAyG2TBuyt+7ljRsOwryHSRReMwvc8EVEduwVJSrH6yJoYIJFjmR0mnSnaCxdqJS8vykEmLkeM7SAyAofTiMs3hFFT0ROO0vmRRGb2cAGpIRI/d0TkBIHV/qKc6xNFwgCJCJfCJJGrkow+yHAYG5G+WJGhTKjqnbzMFF1CJED6/Ej57ZoArgt+j+tx9U6ri/a+Z3BERE4V7rzbjsESq4+siwESkQ8rBEkeRpS/etZ9ftc3ur0GkZMxRNKOniESIC1I6pLdGMV7g58b6UTZieESQyLzsM0hsh69vkSWOgm22iuvMSyyFwZIRCHoESTFHS3AheiLyWbEVR1SczsCRWW6vgYRkR6izTckN3SKNrTNo0O6tBNmqSfWRgZNDHiIiMSl95fIUo9LDIacKdbsDSASWdzRAu+NiIjMJyfwkTJZtdIJrXu0SfOr5NC7qkPPE/V9p51XBeVkDAiJ7EGLqSZyMxKCbkSRyA6QJk2ahKysLDRq1Aht2rTBokWLvI8VFhaiZ8+eSEpKQl5eHj7++GPvYy6XC7NmzUKrVq2QnJyM7OxsjBgxQpu9IDKAiEFSetdcW46LJhKFER0tdubkCxUiBd4nJxhSc1W0wCBJL1pVIAWux4lD6IjtDpFdnN5VxDlLyVCyA6SpU6fiwIEDOHv2LD755BOsWbMGa9euhcvlwuDBgzFs2DCUlpbioYcewpAhQ1BaWneAevTRR/Hpp5/i008/RXl5ObZt24Zf/epXmu8Qkd7MDJI8gRGDIyL9GdnBYmdOPq3nO8rLTPHelOqY0VD2c4pKKr03o0R7Tc6R4wxsd4jsgX0CMpLsOZCuvPJK789utxsxMTHYv38/tmzZgoqKCsycOROxsbEYNWoUli5dig0bNmDChAnYsWMHhg4dipYtWwIAWrZsiXvuuUe7PSEyWNzRAllzJLladwe++cT7e/0O7REXJy/DPVdVi7gc4w8SlReqgKKf54XK7oJEw7eAyDjsVFlH4Ylzukye7RsiKV33+fJy78/7TleGnRPpwvlLIU7B+XOSltNaZcV53dZNYuOk2kTyVaCeqa+fmtvR7/dzVbURly93RX6cSA5Fk2jPnj0by5cvR0VFBVq3bo1Ro0Zh/fr16Ny5M2JjL3WI8/PzUVhYCADo2bMnli1bhgYNGqBv377o0qWL37IkFt8KGytckcwsskOk7C4APgMA/H2fwg5P0WfKnkdEUZkZHrEjp0y4gMcTLpnl5b//3e/3jRKfJ3U5PTFEdRa2PUTyvI2m5m4AL2wjNE91r13nk1IUID366KNYtGgRCgoK8PbbbyMtLQ3l5eVo3Lix33KpqakoK6t7g8+ePRvp6el47bXX8OCDDyIpKQmzZ8/G9OnTg9a/ZMkSLFmyxPt7uc+3eKSfcMOy5A7XclrgJDdEInKywPb9oiCVD6J0mNmR05ZvuKQ0TNKjwolINJ42UG37w3N4IrFxJIG+fIeGF5VU2jJEinG73W41K1i4cCHOnDmD7OxsvPfee3j//fe9j02cOBEpKSlYunSp33Oqqqqwfv16jBkzBv/85z8xcODAiK+RlZWFgwcOqNlMikLPOX2UhiuiTVgdjZT9rK2tRfl5MTrMSiU3bMjqQQrSrn17FBcXy35eerPLsPRfO3TYouhECY1CYYikD6UhktQAyV1bi5rKCwAuzYe0t+RSmx84R5LvY6GEWofe6iUkouA7frvtdIFt0NwhvRS18TyHJ7uod9M3dQ8AACAASURBVHgHyi9Wmb0ZqiV07M3zeB0Fzi1olQBJznm8ogokX9XV1Thw4AAGDRqEJ554ArW1td435e7duzF58uSg58THx2PkyJFYvHgxvv7666gBEulL76DGs35W6QCxsbFolGLekAoiqiNyeET60aIiKZKY2FjUT6wLfQ7+nPl4fve9z8P3sVBCrUPJe1dOIMnPBgHaVSQR2UXN5b9AIxO/3GY/SnyhLkxhxyokWQFSWVkZ3nnnHQwZMgTJycnYtm0bVqxYgYcffhgDBgxAgwYNsHjxYkyZMgXr16/HoUOHMGzYMADAsmXLcNVVV+Gaa65BYmIi3nvvPRQVFaFnz5667BhJY2SVD4d6EZEWfDu4du0Ys/Omv8CqonCBkkjD15S+h6303iex8L1DdAn7MaSE3UIkWQFSTEwMXnzxRUyZMgXV1dXIysrC9OnTcd999yEmJgbvvPMOJk6ciHnz5iEnJwdvvfUW0tPTAQBJSUmYNWsW9u/fj5iYGLRp0wYrV65Enz59dNkxEhNDJOuKdolpOzWMZJyq6lpVHRS7d244J5JxRAqKAtn9fU5ERGRndppYW1aA1KhRI2zcGP76IJ07d8b27dtDPnb33Xfj7rvvlrd1ZEsMkawnWnjkWcYOjSIRkQgYGhEREdmLb5/Kqv0mzqBFwrJSyGSlbY2mqKQy6AoCRGQeBgnOw/85ERGRtcgNhDx9Lqv1tRggEalkt/DI92erNWhEdsVAwTn4vyYiInIWK/W7VF+FjUguOYGLq3V3Qyf6lspOoZEWrFqCSUQkCgZHRERE1pabkaAqCLLClCAMkEh4nrBGhCDJ7sGRb4MlpfETvYEjshNOqG1PDI6IiIjIQ/QQiQGSwxld4aMmgAn1XD233e5hUTQiN1xETsUQyT7MCo52HzgV9rH8dk0M3BIiIiL7UVuFJDoGSGRYiKRHICNlndH2zelBERFZC0Mk6zIqNIoUEsl5HgMlIiIi44lchcQAiQDoGyKZHdCY/fpERFpjiGQtogdHUtbHMImIiIgYIJGXlnMNMbQhItIXQyRxGT08TevgKNJrMEgiIiKKzM7D2BggURCGP0RE1uD0EElqUKPX38jsCbCNCI7CvSaDJCIiIudhgERERGRhnhDDjkGSVgGNlPX4/v3MDoaiMSM4irQNDJOIiIj8qalCEnX+I4ABEhERkS34hh5WDJPMDm3Mfv1oRAiNwmFVEhERkTMwQCIiIrKZUGFIpFApcHm9AyjRwxqRiBwcBdp94BRDJCIiop/ZcS4kBkhEREQOICe0YcBjHisFRkRERBSZ3UKkWLM3gIiIiMjpdh84ZYvwyA77QEREpCWR5zSSixVIRERERAZj0EJEROQcciqRikoqhQ2dGCARERER6cxJgRHnQiIiIgpmh+FsDJCIdCankRA1aSYiInmcFBgRERGRNJFCJCv0BRkgEcmkZ2rsu24rNCBERE7EcIiIiIiUsnI/jwESkQ+RSgoZJhERmYMBkT31aJMmeVleiZCIiCgYAyRyJJGCIiIiUoeBD4UjJzSK9DwGSkRERAyQyEEYGhERWQ/DofCOHQ0dajRvrSw0sRul4VGkdTFIIiIiJ2OARLZmh9CIw9eIyE4YCEkXLiCS8zyzwiSzr8SmZXgUbr0Mk4iIyGkYIJEt2SE4AhgeEZH1MTCSRmlYJHW9ZgRJZoVIeoVHkV6HYRIRETkBAySyFbsERwDDIyKyJgZG0ekVFkl9TSPDJKNDJKPCo3CvyyCJiIjsjAES2YKdgiOA4RERWQtDo8jMCIwiOXa01NYhEhEREemDARJZnp3CIwZHRGQVDI3CEy0wCsXooW0MkYiIiKyPARJZFoMjIiJjOT00skIwJJeRQRJDJCIiImtjgESWxPCIiMgYTguN7BgSSWHmZNt2wfmPiIjI7hggkWXYKTTyYHhERKKxW2Dk1EBIKb0n29a7CskT4hg5mTaDIyIicgoGSBbiCVCcFjowOHKWuKMFER93te5u0JYQOYtVgyMGRPrRa7JtI4ayBYY6kQIlOctGeh4REZHdMUASXKjwRGqgYvWQgsGR80QLj4hIH1YLjxgaGUevoW1Gz4ckJ+zZeaQ0aojE8IiIiJyIAZKAtApOfNdjleDCjqGRh1X+B2ZgcERkPIZGJIce1UgiT6otJUQiIiJyGgZIAtEzPCkqqRQ2wLBzaAQwOAqHoRGROawUHDE0Eose1Uie96OIQVKo+ZRYeUREZgrVbzK7rxGpL2f2tpH2GCAJwu4hSjh23W82lpEpDY84/xGROiKHR1YPi0r2fRnx8YwOVxu0JfpzYjUSEZEaehcK+DKiHyJ1f0QuYiBlZAdI69evxyOPPILDhw8jIyMDS5cuxa233orCwkJMnDgRX331FXJycrBixQr88pe/BAC4XC7MnTsXr732Gk6fPo3U1FT06dMHr7/+uuY7ZCV2DU+ksuP+27mBVBL6hAp8tFoPEUknanBk9dAIiB4cyV3Ol8ihk17VSKKGSEREgDX6L1pPY6J2nxki2YusAGnTpk144IEH8Oqrr6J3794oKSlBeXk5XC4XBg8ejEmTJmHr1q1Yu3YthgwZgoMHDyItLQ2PPvooPv30U3z66ado2bIlvv/+e7z77rt67ZMlmNH4iPThtULjK4Uof0+taTW8zLMeTwAkZb0Mi4i0JWJ4ZLXgSEn4o+Xrih4kOWVIGxE5ix36K3LDJD322a79JaeSFSDNmzcP8+bNQ9++fQEAmZmZyMzMxAcffICKigrMnDkTsbGxGDVqFJYuXYoNGzZgwoQJ2LFjB4YOHYqWLVsCAFq2bIl77rlH+72xCDs0RkrZYd/t2gjqOSeR1HUzPCKyP5HDI7OComh8t0vEMInVSERkdXboo0TjhH0k/UkOkGpqarBjxw7cfPPNaNeuHSoqKnDDDTdg2bJlKCwsROfOnREbG+tdPj8/H4WFhQCAnj17YtmyZWjQoAH69u2LLl26+C0baMmSJViyZIn39/LyciX7JqzcjARHfoCtss92DYgCcRJrMkNg++66WGHi1tibSJVHDI20E7i9IgVKelQjMUSyFrufw5N9WKVfYmVO6VM5TYzb7XZLWfDHH39EVlYWunXrhrfffhsNGzbEHXfcgaZNm6Jdu3bYs2cP1q1b511++vTpKCsrwwsvvICamhr89a9/xWuvvYaCggIkJSVh9uzZmD59uqSNzMrKwsEDB5TtoeCMbrzM+iCL2kg7rWETOTRi9ZG1tWvfHsXFxbKfl9ykGcau/ECHLXI2UcIjBkfGEiVM0nqCbYZI5ntr6k2K2ng7n8OT9YjaH7Ebp/Wv7EDOebzkCqSkpCQAwP3334+srCwAwNy5czF06FDMmTMHZ8+e9Vu+rKwMKSkpAIB69erh3nvvxb333ouqqiqsX78eY8aMQefOnTFw4ECpm2BLng+YUQ2aGbP0e15HlEbbiY2ayMERwPCISCsMjpytZN+XpodIWodHACuRiEgdUfogdufEPpYTSQ6QUlNT0bJlS8TExAQ9lpeXhyeeeAK1tbXeoWm7d+/G5MmTg5aNj4/HyJEjsXjxYnz99deOD5A8fD9wRjZyntcy4gNvdFgW+LokHgZHRPbB0Mh4ZodFREQiY3BkDPa1nEXWJNoTJ07EU089hRtvvBFJSUl47LHHMHjwYAwYMAANGjTA4sWLMWXKFKxfvx6HDh3CsGHDAADLli3DVVddhWuuuQaJiYl47733UFRUhJ49e+qyU1ZnRrWO1pd7jETvsIyNmPgYHBHZh1WDI0/4ItpQNoZCofHqbAREr6jm+QUxNDIO+1zOJCtAmjNnDkpKStCpUyfUr18fN998M5YuXYq4uDi88847mDhxIubNm4ecnBy89dZbSE9PB1A3/G3WrFnYv38/YmJi0KZNG6xcuRJ9+vTRZafswKyKpMDXMzJMCnxtNeshf67W3U0bxsaTOSJ9mTlszarhka9QgY2RoZKdAiM9hq8FCny/M1CyPznnL77L8vzDvhgSmYv9LmeTPIm2mTgBX2hGNJ5sIOzHqCCJJ27Owkm0jSXKXEcedgiSpFIbLtkpMApkRIAUDQMlfZgxibbW5ys8L7EOBkRiY//QfnSZRJvEY9acQmRtgSdQWpyg8aSMSH+ihUa+PMGBE4IkOwdASokQHHlI/ZwwaBKbHl92sTpJTOzHWAvDI2KAZAN6zJnExsE5eBJFJC6RQ6NQQgUJTgiVyHrCfbYYLDlD3NECnv+YhIGRtRWVVLKf6HAMkGwi0gc5VEPNDz4RkVisFhZJ5aTqJKcQqeJIa76fQ4ZJ5jFi7kaGSMZgYGQ/DJGcjQGSA/ADTkQkPimdVSuHTM1bpzFEsjg7B0eBGB6Zzzfc0SNMYnikDwZGzsAQybkYIBEREVlEfrsmDJHIFE4IjxgaiYthj/hECY4KT5wLui8vM8WELbE/hkjOxACJiIhIZ1oMi7FycOSLIRKJiOERkTKiBEceDIuI9MUAiYiISEPRgh67BEFqBFazMFASX6j/kZ2qkjyfSwZJRPLocTEf0g8rhkitGLfb7TZ7I6JJSEhA06ZNzd4M3ZSXlyM5OdnszTCFU/ed++0sTtjvkydPorJS/gmk3dt3wBn//1Ccut+Ac/ed+21fbOPDc8L/PxTut7M4db8BZ+y7nDbeEgGS3WVnZ6O4uNjszTCFU/ed++0sTt1vquPU/79T9xtw7r5zv8mJnPr/5347i1P3G3D2vocSa/YGEBERERERERGR2BggERERERERERFRRPXmz58/3+yNIKBXr15mb4JpnLrv3G9ncep+Ux2n/v+dut+Ac/ed+01O5NT/P/fbWZy634Cz9z0Q50AiIiIiIiIiIqKIOISNiIiIiIiIiIgiYoBEREREREREREQRMUAiIiIiIiIiIqKIGCBp4Omnn0b37t2RkJCA3/3ud9779+3bh6FDh6JZs2ZITU1F//79UVBQ4PfcdevWIScnBw0bNsTAgQPxww8/AAC2bduGxMREVFZWepf94x//iJiYGBw/ftx733PPPYeuXbvqvIfyrF+/Hnl5eWjYsCFat26NDRs2AAAKCwvRs2dPJCUlIS8vDx9//DEAoLq6GikpKdi6dat3HR9++CFiYmLw+uuve+/79ttvERsbi9LSUmN3SENnzpzB7bffjpSUFGRlZeHZZ581e5M0I/f/DgBbtmxBbGwskpOT/W7r1683azci0uOzDgDz589HXFxc0N/hxIkThu0bhcc2/hK27+HZuX0H2MazjbcvtvGXsI0Pj228tdt4tu/aYYCkgRYtWuCPf/wj7rrrLr/7z5w5g5tuuglFRUU4deoUbrvtNvz617/G+fPnAdQ1puPGjcPKlStRUlKC9u3b44477gAA9OjRA/Xq1cP27du96/voo4/QqVMnv0Z669at6N+/vwF7Kc2mTZvwwAMP4LnnnsO5c+ewc+dO5Ofnw+VyYfDgwRg2bBhKS0vx0EMPYciQISgtLUX9+vXRu3dvv/0Kt69XXXUV0tLSzNg1Tdx3332orq7Gjz/+iH/+8594+OGHsXnzZrM3SzUl/3ePzMxMlJeX+91++9vfmrg34enxWff47W9/G/R3yMzMNGzfKDy28XXYvkdm1/YdYBvPNt7e2MbXYRsfGdt4a7fxbN815CbNPPLII+4RI0ZEXCYxMdFdUFDgdrvd7jlz5riHDx/ufezUqVPu+vXruw8cOOB2u93ugQMHuhcsWOB2u93uCxcuuNPT090rVqxw33vvvd7ntGjRwv3mm29qvSuK9enTx71y5cqg+99//313s2bN3DU1Nd77rr76avcLL7zgdrvd7kWLFrmvvfZa72P9+vVzv/zyy+4rr7zSe9/IkSPdU6dO1XHr9VVeXu6Oj493FxUVee+bNm2ae9SoUSZulTaU/t83b97sbtasmWHbqRWtP+tS1kfmc3obz/Y9PDu372432/hQ2MbbD9t4tvHhsI23TxvP9l09ViAZaOfOnaitrUW7du0A1JUEdunSxft4eno6WrVqhcLCQgBA//79ven99u3b0bVrV1x33XXe+/bv34+ffvoJv/zlLw3ek9BqamqwY8cOlJSUoF27dmjRogXGjBmD0tJSFBYWonPnzoiNvfSWy8/P99vXbdu2oaqqCpWVlfj6668xYsQInD17FidPngRQ942GKN/SKLFv3z643W5ceeWV3vt8/wZWpeb/bldyP+tkD3Zu49m+R2bX9h1gGx8K23hnYhvPNp5tvH32Oxy279ExQDLI6dOnMXr0aCxcuBCNGzcGAJSXl3t/9khNTcW5c+cAAAMGDMC2bdvgcrmwdetW9OvXD+3bt0dpaSlKSkqwdetWdO7cGU2aNDF8f0I5fvw4XC4X1q9fj61bt+K///0vTp48iQceeCDqvvbo0QMxMTHYuXMntm/fjvz8fMTHx6Nv37746KOPcODAAfz444/o16+fGbumifLycjRq1MjvPt+/gVWp+b8DwIkTJ5Camup3279/v9G7oRkln3UA2LBhg9/foGPHjoZuN6lj9zae7Xtkdm3fAbbxgdjGOxPbeLbxbOPr2LmNZ/suDQMkA5SVlWHQoEEYNGgQZs6c6b0/OTkZZ8+eDVo2JSUFQF2DDNQloR999JG34fU0yCKNmwaApKQkAMD999+PrKwspKamYu7cufjXv/4VdV/j4uK8Y6h997Vfv37YunUrtm7diry8PCEOskpF+xtYlZr/O1A3dvrMmTN+t/bt2xu6D1pR+lkHgFtvvdXvb7B3717DtpvUcUIbz/Y9Mru27wDbeF9s452JbTzbeLbxl9i1jWf7Lh0DJJ2dPXsWN954I66++mosW7bM77G8vDzs2bPH+3tpaSm+++475OXlAbjUIH/44Yf48ssvcc011wDwb5AHDBhg2L5Ek5qaipYtWyImJibosby8PHz99deora313rd7927vvgJ139R49ivUwUekfVWiQ4cOiImJwTfffOO9L/BvYEVq/+92oeazTtbllDae7Xtkdm3fAbbxHmzjnYltPNt4gG283dt4tu8ymTwHky24XC73hQsX3HPnznUPHz7cfeHCBXdVVZW7rKzM3bNnT/e4cePctbW1Qc/773//605JSXFv3LjRXVFR4b7vvvvc/fr181tm4cKF7mbNmrn79Onjve+rr75yN2vWzB0TE+M+efKk7vsnx5/+9P/bu//YKu96geOfU8COnpVSWOdcFVqYqAyT7YaRy527sjudmWzJnMzfZgxdvLiZJcZomCwDs2Cii4lGN9kfjus2Fp0/sghpdFsAAXW5WGf0ZglyNxCysauyttDZ0h/P/YOI4uZHKJw+bXm9kv7BgfL9fCn9HnjnOc9ZWyxcuLA4ePBg0dPTU1x77bXFihUriqNHjxZtbW3Fl770paKvr694+OGHi+bm5uJPf/rT8c/dvn17Ua1Wi+bm5qK3t7coiqIYHh4uWlpaipaWluJ73/teWds6Yz70oQ8V733ve4uenp7i6aefLmbOnFk8+eSTZY912kb6dR9vN9+r1ff62XgDvvHEGX+M8z03Uc/3onDGO+MnNmf8Mc74nDN+fJ/xzvczR0A6A+66664iIk74uOmmm4oNGzYUEVE0NDQU1Wr1+MdPf/rT45/73e9+t2hvby+mTp1avPOd7ywOHDhwwu+9ffv2IiKKVatWHX9seHi4mDFjRrFgwYJR2+PJGhgYKD71qU8Vzc3NRUtLS7F8+fKiu7u7KIpjT5iLFi0qzjnnnGL+/PnFtm3bTvjc/v7+oqGhoVi8ePEJj19//fVj7kl2pF566aVi2bJlRbVaLV73utcV3/jGN8oe6YwY6dd9y5YtRaVSOeH7o1qtFl/96lfL2kqqVt/rd911VzF58uRX/Dl0dnaWsU3+jjP+GOd7bqKe70XhjHfGT2zO+GOc8Tln/Pg+453vZ06lKIqi5pc5AQAAADBuuQcSAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAgJSABAAAAkBKQAAAAAEgJSAAAAACkBCQAAAAAUgISAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAgJSABAAAAkBKQAAAAAEgJSAAAAACkBCQAAAAAUgISAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAgJSABAAAAkBKQAAAAAEgJSAAAAACkBCQAAAAAUgISAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAgJSABAAAAkBKQAAAAAEgJSAAAAACkBCQAAAAAUgISAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAgJSABAAAAkBKQAAAAAEgJSAAAAACkBCQAAAAAUgISAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAgJSABAAAAkBKQAAAAAEgJSAAAAACkBCQAAAAAUgISAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAgJSABAAAAkBKQAAAAAEgJSAAAAACkBCQAAAAAUgISAAAAACkBCQAAAICUgAQAAABASkACAAAAICUgAQAAAJASkAAAAABICUgAAAAApAQkAAA4yy1ZsiS++c1vHv9xZ2dnnH/++fG1r32txKkAGEsmlz0AAAAwduzcuTOuu+66uOeee2LFihVljwPAGCEgAQAAERHx+OOPx4033hjr16+P97///WWPA8AYIiABAADR0dER27ZtiwcffDCuu+66sscBYIxxDyQAACC2bNkSbW1tsWTJkrJHAWAMEpAAAIBYu3ZtzJw5M6655po4cuRI2eMAMMYISAAAQEydOjV+9KMfxZQpU+Ld73539Pb2lj0SAGOIgAQAAERERENDQ2zatCkqlUosXbo0Xn755bJHAmCMEJAAAIDjqtVqbN68OYaGhuLaa68VkQCIiIhKURRF2UMAAAAAMHa5AgkAAACAlIAEAAAAQEpAAgAAACAlIAEAAACQmlz2AAAwUvv3748XX3yx7DEAxqyWlpaYPXt22WMAMAEISACMK3v37o25l98YRdfeqNTVRd0502u+5mvObar5Guc0vKbmazRVa79GRMT0hik1X2Nafe3/CdP4mtG5ULvuz101X2P4SHfN1xjo6qn5GhER/d21f0v5vq7+mq/RdXSw5mtERPxx+Ng6c6IhNu7ZFXPnzh2VdQGYeCpFURRlDwEAmb+NRsXwUNRNb4u66W1RbZ0/KuufN+9far7GBbOba77GJRfNrPkaERGXtdV+LwvOb6z5GhefV1/zNSIipuzbVfM1ju7+Vc3XOPSr/6n5GhER//er52q+xvO/PFjzNX75x9qHsIiI5/sGozsG4tl4OZ6NY2uKSQCMhCuQABiT9u3bF3P+bdkJ0WjSrCuiMgpXHAFMJE0xJS6Nprg0mo7HpH+96FiAF5MAOFkCEgBjxqtHo3+Pyjm1fwkZwNlATAJgpAQkAEolGgGUQ0wC4FQISACUpm7G3Cheei7qzr9YNAIo0d/HpN3RG/MuuijeEFNjbzE692sCYGwbnbcXAYBXsXPzQ1F33pti+KW9MfT8f8fwof+NYuho2WMBnJUGYjj2RG88FV2xO47Em+Lc+K+tHWWPBcAY4QokAEqzePHiGPrDMzE0NBQ7duyI/1j2nzH0QmdUpjZH3fT2qDS9ISqTRuet5wHORgMxHPviz/FsvBx/iP54Q0yN+x9/LJYsWRKTJ/uvAgB/5VkBgNJNmjQp3v72t4tJAKNANAJgJDxDADCm/H1M2r59e1x140oxCeA0iEYAnC7PFgCMWZMmTYolS5b8w5h09OilUdfQXPM5+g5Wa75GTzTWfI2DQ6Nzk/I9PbXfy3BzQ83XODx9dCLl5Beeqfkag/ufq/kaPftfrPkaERGHDnXVfI0/9vfWfI39w/01XyMi4rnoF40AOCMqRVEUZQ8BAKfiLzHp+9//fhw8eLDm6+3evTvmzZtX83VGg73Unrlqa6LsI2J09tLS0hI33HCDaATAaROQKqSflwAABgZJREFUAOCfeP3rXx8HDhwoe4wzwl5qz1y1NVH2ETGx9gLAxFdX9gAAAAAAjG0CEgAAAACpSWvWrFlT9hAAMNYtXry47BHOGHupPXPV1kTZR8TE2gsAE5t7IAEAAACQ8hI2AAAAAFICEgAAAAApAQkAAACAlIAEAAAAQEpAAoCTsH79+njjG98YTU1N8drXvjaWL18ePT09ZY81Il/+8pfjrW99azQ2NsasWbPi85//fAwNDZU91ohs2bIlrrzyymhqaooLLrigtDm6urrife97XzQ2NkZra2vce++9pc3yt77+9a/HwoULo76+Pj7wgQ+UPc6I9ff3x8c//vFob2+PxsbGuPjii2Pjxo1ljzVin/jEJ6K1tTWmTZsWbW1tsW7durJHAoB/SkACgJNw9dVXx1NPPRXd3d2xZ8+eGBgYiFWrVpU91ogMDw/HAw88EIcOHYrt27fHpk2b4p577il7rBGpVquxYsWK+MpXvlLqHLfddlsMDg7G888/H5s2bYo777wztmzZUupMEREXXnhhrF69Om655ZayRzktg4ODceGFF8aTTz4Z3d3dsX79+li5cmX8/Oc/L3u0Ebn99ttjz5490dPTEzt27IiHH344Hn300bLHAoCUgAQAJ6G9vT1mzJgRERFFUUSlUonf/e53JU81Mp/73Odi4cKFMWXKlJg9e3Z8+MMfjh07dpQ91ogsWrQoPvrRj8bcuXNLm6G3tzceffTRuPvuu6OxsTEuvfTSWL58eXzrW98qbaa/uOGGG+L666+P8847r+xRTku1Wo0vfOELMWfOnKirq4u3ve1tcfnll8fPfvazskcbkfnz58fUqVMjYvyfJwCcPQQkADhJmzdvjqampmhqaoof/vCH8elPf7rskc6Ibdu2xYIFC8oeY9zavXt3FEUR8+fPP/7YJZdcEr/97W9LnGpi6+3tjV27do3rv7erVq2KarUas2bNiiNHjsRHPvKRskcCgNTksgcAgLINDQ1FURSv+nOVSiUmTZoUERFLly6N7u7u+P3vfx/3339/zJkzZzTHPCknu5e/uPfee+M3v/lNfPvb3x6N8U7Jqe6lLEeOHIlp06ad8Nj06dPj8OHDJU00sRVFER/72Mdi0aJFcfXVV5c9zoh98YtfjHXr1sWuXbvisccei+bm5rJHAoCUK5AAOOtdddVVMWXKlFf9aG1tfcWvnzVrVrzrXe+KD37wgyVMmzuVvTz00ENx9913x09+8pOYOXNmSRP/Y6f6dSnLueee+4obqnd3d0djY2NJE01cRVHEypUrY//+/fGd73wnKpVK2SOdlkqlEpdddlnU19fHmjVryh4HAFKuQALgrLd169ZT/pzBwcHYs2fPmR/mNJ3sXjZu3Bif+cxn4oknnog3v/nNtR1qhEbydSnDvHnzolKpxDPPPBNvectbIiLi6aefHtcvrxqLiqKIW2+9NTo7O+OJJ56IarVa9khnzFg9TwDgb7kCCQBOwgMPPBAvvPBCREQ8++yzsXr16njHO95R8lQj88gjj8Ttt98eHR0d4z5yDA8PR19fXxw9ejQiIvr6+qK/v39UZ6hWq7Fs2bK488474/Dhw/HrX/86NmzYEDfffPOozvFqBgcHo6+vLwYHB4//WQ0MDJQ91ojcdttt8Ytf/CJ+/OMfv+Ilg+NJd3d3PPjgg9HT0xPDw8Oxc+fOuO+++8bteQLA2aNS/KObCwAAx916663xgx/8IHp6emLGjBmxdOnSWLdu3fF3ZhtP2tvb48CBA1FfX3/8sSuuuCI6OjpKnGpktm7dGldeeeUJj82ePTv27t07qnN0dXXFLbfcEh0dHTFt2rRYvXp1fPKTnxzVGV7NmjVrYu3atSc8dtNNN8WGDRvKGWiE9u3bF21tbVFfXx+TJ//1Avo77rgj7rjjjhInO3U9PT3xnve8Jzo7O2NwcDBaW1vj5ptvjs9+9rPj/iV5AExsAhIAAAAAKS9hAwAAACAlIAEAAACQEpAAAAAASAlIAAAAAKQEJAAAAABSAhIAAAAAKQEJAAAAgJSABAAAAEBKQAIAAAAg9f++7Se1fVEA8AAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 1440x1280 with 11 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(18, 16), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "clev = np.array([-3.5, -3.0, -2.5, -2.0, -1.5, -1.0, -0.5, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5])\n",
+    "\n",
+    "ax = plt.subplot(4, 3, 1)\n",
+    "c = plt.contourf(tm.lonint, sinlat, np.nanmedian((ts_ldct-ts_aqct)[tm.modlist_ldct], axis=0), clev, extend='both', cmap=cm.RdBu_r)\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "make_niceplot(ax, 'Model median')\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11) \n",
+    "\n",
+    "ax = plt.subplot(4, 3, 11)\n",
+    "ax.axis('off')\n",
+    "cbar = plt.colorbar(c, ticks=[-3, -2, -1, 0, 1, 2, 3], orientation='horizontal', aspect=30)\n",
+    "cbar.ax.tick_params(labelsize=11)\n",
+    "plt.text(1, -0.17, 'K', fontsize=11, ha='right')  \n",
+    "\n",
+    "for m in tm.modlist_ldct:\n",
+    "    if tm.modnames[m] == 'CAM3'     : msubplot = 2 \n",
+    "    if tm.modnames[m] == 'CAM4'     : msubplot = 3 \n",
+    "    if tm.modnames[m] == 'CAM5Nor'  : msubplot = 4\n",
+    "    if tm.modnames[m] == 'CNRM-AM5' : msubplot = 5 \n",
+    "    if tm.modnames[m] == 'ECHAM61' : msubplot = 6\n",
+    "    if tm.modnames[m] == 'MIROC5'   : msubplot = 7  \n",
+    "    if tm.modnames[m] == 'MPAS'     : msubplot = 8\n",
+    "    if tm.modnames[m] == 'CALTECH'  : msubplot = 9\n",
+    "    ax = plt.subplot(4, 3, msubplot)\n",
+    "    c = plt.contourf(tm.lonint, sinlat, (ts_ldct-ts_aqct)[m, :, :], clev, extend='both', cmap=cm.RdBu_r)\n",
+    "    ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "    plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "    make_niceplot(ax, tm.modnames_4plots[m])\n",
+    "    if (msubplot == 7) or (msubplot == 8) or (msubplot == 9):\n",
+    "        ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11) \n",
+    "    if msubplot in [1, 4, 7]:\n",
+    "        ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)\n",
+    "\n",
+    "plt.subplots_adjust(wspace=0.04, hspace=0.05) \n",
+    "\n",
+    "plt.tight_layout\n",
+    "plt.savefig('figs/corrigendumpaper_figure10.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure11.ipynb b/corrigendum-james-2019/corrigendumpaper_figure11.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..0352e9c569574bd3febd17d17210ca138dc44219
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure11.ipynb
@@ -0,0 +1,215 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 11 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct = 86400*np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.timmean.npz')['pr'])\n",
+    "pr_ldct = 86400*np.array(np.load('./postdata_npz/pr_landControlTRACMIP.timmean.npz')['pr'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate ITCZ position"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# model median\n",
+    "itcz_aqct_mm = np.zeros(tm.nlonint) + np.nan\n",
+    "itcz_ldct_mm = np.zeros(tm.nlonint) + np.nan\n",
+    "for i in range(0, tm.nlonint):\n",
+    "    itcz_aqct_mm[i] = atm.get_itczposition(np.nanmedian(pr_aqct[tm.modlist_ldct, :, i], axis=0), tm.latint, 30.0, 0.1)\n",
+    "    itcz_ldct_mm[i] = atm.get_itczposition(np.nanmedian(pr_ldct[tm.modlist_ldct, :, i], axis=0), tm.latint, 30.0, 0.1)\n",
+    "\n",
+    "# individual models    \n",
+    "itcz_aqct = np.zeros((tm.nmod, tm.nlonint)) + np.nan\n",
+    "itcz_ldct = np.zeros((tm.nmod, tm.nlonint)) + np.nan\n",
+    "for m in range(0, tm.nmod):\n",
+    "    for i in range(0, tm.nlonint):\n",
+    "        itcz_aqct[m,i] = atm.get_itczposition(pr_aqct[m, :, i], tm.latint, 30.0, 0.1)\n",
+    "        itcz_ldct[m,i] = atm.get_itczposition(pr_ldct[m, :, i], tm.latint, 30.0, 0.1)    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_niceplot(ax, modelname):\n",
+    "    ax.xaxis.set_ticks([-120, -60, 0, 60, 120])\n",
+    "    ax.xaxis.set_ticklabels([''], fontsize=11)\n",
+    "    ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "    ax.yaxis.set_ticklabels([''], fontsize=11) \n",
+    "    plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \\\n",
+    "             transform=ax.transAxes, backgroundcolor='white')\n",
+    "    plt.xlim(-175, 175), plt.ylim(-0.6, 0.6)  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1280 with 11 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(18, 16), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "clev = np.array([-6.5, -5.5, -4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5])\n",
+    "\n",
+    "ax = plt.subplot(4, 3, 1)\n",
+    "c = plt.contourf(tm.lonint, sinlat, np.nanmedian((pr_ldct-pr_aqct)[tm.modlist_ldct], axis=0), clev, extend='both', cmap=cm.BrBG)\n",
+    "plt.plot(tm.lonint, np.sin(np.nanmedian(itcz_aqct[tm.modlist_ldct], axis=0)*np.pi/180), 'royalblue', linewidth=2)\n",
+    "plt.plot(tm.lonint, np.sin(np.nanmedian(itcz_ldct[tm.modlist_ldct], axis=0)*np.pi/180), 'firebrick', linewidth=2)\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "make_niceplot(ax, 'Model median')\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11) \n",
+    "\n",
+    "ax = plt.subplot(4, 3, 11)\n",
+    "ax.axis('off')\n",
+    "cbar = plt.colorbar(c, ticks=[-6, -4, -2, 0, 2, 4, 6], orientation='horizontal', aspect=30)\n",
+    "cbar.ax.tick_params(labelsize=11)\n",
+    "plt.text(1, -0.17, 'mm/day', fontsize=11, ha='right')  \n",
+    "\n",
+    "for m in tm.modlist_ldct:\n",
+    "    if tm.modnames[m] == 'CAM3'     : msubplot = 2 \n",
+    "    if tm.modnames[m] == 'CAM4'     : msubplot = 3 \n",
+    "    if tm.modnames[m] == 'CAM5Nor'  : msubplot = 4\n",
+    "    if tm.modnames[m] == 'CNRM-AM5' : msubplot = 5 \n",
+    "    if tm.modnames[m] == 'ECHAM61' : msubplot = 6\n",
+    "    if tm.modnames[m] == 'MIROC5'   : msubplot = 7  \n",
+    "    if tm.modnames[m] == 'MPAS'     : msubplot = 8\n",
+    "    if tm.modnames[m] == 'CALTECH'  : msubplot = 9\n",
+    "    ax = plt.subplot(4, 3, msubplot)\n",
+    "    c = plt.contourf(tm.lonint, sinlat, (pr_ldct-pr_aqct)[m, :, :], clev, extend='both', cmap=cm.BrBG)\n",
+    "    ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "    plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "    plt.plot(tm.lonint, np.sin(itcz_aqct[m, :]*np.pi/180), 'royalblue', linewidth=2)\n",
+    "    plt.plot(tm.lonint, np.sin(itcz_ldct[m, :]*np.pi/180), 'firebrick', linewidth=2)    \n",
+    "    make_niceplot(ax, tm.modnames_4plots[m])\n",
+    "    if (msubplot == 7) or (msubplot == 8) or (msubplot == 9):\n",
+    "        ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=11) \n",
+    "    if msubplot in [1, 4, 7]:\n",
+    "        ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=11)\n",
+    "\n",
+    "plt.subplots_adjust(wspace=0.04, hspace=0.05) \n",
+    "\n",
+    "plt.tight_layout\n",
+    "plt.savefig('figs/corrigendumpaper_figure11.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure12.ipynb b/corrigendum-james-2019/corrigendumpaper_figure12.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..24388331c4447f03e4174ed4e8cafe84bbeec20f
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure12.ipynb
@@ -0,0 +1,247 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 12 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load global-mean time-mean surface temperature and precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct = np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_aq4x = np.array(np.load('./postdata_npz/ts_aqua4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])\n",
+    "ts_ldct = np.array(np.load('./postdata_npz/ts_landControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_ld4x = np.array(np.load('./postdata_npz/ts_land4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct = 86400*np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.fldmean.timmean.npz')['pr'])\n",
+    "pr_aq4x = 86400*np.array(np.load('./postdata_npz/pr_aqua4xCO2TRACMIP.fldmean.timmean.npz'  )['pr'])\n",
+    "pr_ldct = 86400*np.array(np.load('./postdata_npz/pr_landControlTRACMIP.fldmean.timmean.npz')['pr'])\n",
+    "pr_ld4x = 86400*np.array(np.load('./postdata_npz/pr_land4xCO2TRACMIP.fldmean.timmean.npz'  )['pr'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.stats as spstats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.318681318681 0.266784960811\n",
+      "0.47619047619 0.23293553465\n",
+      "0.543956043956 0.0546465345409\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x640 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 1)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "for i in tm.modlist_aq4x:\n",
+    "    plt.text(ts_aqct[i], 0.5*(ts_aq4x - ts_aqct)[i], tm.modnumbers[i], fontweight='normal', color=tm.modcolors[i], ha='center', va='center', fontsize=14)\n",
+    "for i in tm.modlist_ld4x:\n",
+    "    plt.text(ts_ldct[i], 0.5*(ts_ld4x - ts_ldct)[i], tm.modnumbers[i], fontweight='normal', color=tm.modcolors[i], ha='center', va='center', fontsize=14)\n",
+    "    plt.text(ts_ldct[i], 0.5*(ts_ld4x - ts_ldct)[i] - 0.17, '_', fontweight='normal', color=tm.modcolors[i], ha='center', va='bottom', fontsize=14)\n",
+    "plt.xlim(288, 302), plt.ylim(0.5, 5.7)\n",
+    "\n",
+    "corr, r = spstats.spearmanr(ts_aqct[tm.modlist_aq4x], 0.5*((ts_aq4x - ts_aqct)[tm.modlist_aq4x]))\n",
+    "print(corr, r)\n",
+    "corr, r = spstats.spearmanr(ts_ldct[tm.modlist_ld4x], 0.5*((ts_ld4x - ts_ldct)[tm.modlist_ld4x]))\n",
+    "print(corr, r)\n",
+    "# do aquaplanet fit without mpas model\n",
+    "modlist_aq4x_nompas = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13]\n",
+    "corr, r = spstats.spearmanr(ts_aqct[modlist_aq4x_nompas], 0.5*((ts_aq4x - ts_aqct)[modlist_aq4x_nompas]))\n",
+    "print(corr, r)\n",
+    "plt.text(302, 1.0, 'Aqua: corr=0.31, p=0.27', ha='right', fontsize=12, fontstyle='italic')\n",
+    "plt.text(302, 0.7, 'Land: corr=0.48, p=0.23', ha='right', fontsize=12, fontstyle='italic')\n",
+    "plt.xlabel('Global surface temperature (K)', fontsize=12)\n",
+    "plt.ylabel('Climate sensitivity (K)', fontsize=12)\n",
+    "ax.xaxis.set_ticks([289, 291, 293, 295, 297, 299, 301])\n",
+    "ax.xaxis.set_ticklabels([289, 291, 293, 295, 297, 299, 301], fontsize=10)\n",
+    "ax.yaxis.set_ticks([1, 2, 3, 4, 5])\n",
+    "ax.yaxis.set_ticklabels([1, 2, 3, 4, 5], fontsize=10)\n",
+    "plt.text(0.02, 0.98, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 2)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "xfit = np.linspace(0, 15, 100)\n",
+    "yfit = 2.1*xfit; plt.plot(xfit, yfit, 'k')\n",
+    "for i in tm.modlist_aq4x:\n",
+    "    plt.text((ts_aq4x-ts_aqct)[i], 100*(pr_aq4x[i] - pr_aqct[i])/pr_aqct[i], tm.modnumbers[i], fontweight='normal', color=tm.modcolors[i], ha='center', va='center', fontsize=14)\n",
+    "for i in tm.modlist_ld4x:\n",
+    "    plt.text((ts_ld4x-ts_ldct)[i], 100*((pr_ld4x - pr_ldct)/pr_ldct)[i], tm.modnumbers[i], fontweight='normal', color=tm.modcolors[i], ha='center', va='center', fontsize=14)\n",
+    "    plt.text((ts_ld4x-ts_ldct)[i], 100*((pr_ld4x - pr_ldct)/pr_ldct)[i] - 0.7, '_', fontweight='normal', color=tm.modcolors[i], ha='center', va='bottom', fontsize=14)\n",
+    "\n",
+    "plt.xlim(0, 10); plt.ylim(0, 22)\n",
+    "\n",
+    "plt.xlabel('Global surface temperature increase (K)', fontsize=12)\n",
+    "plt.ylabel('Precipitation increase (%)', fontsize=12)\n",
+    "ax.xaxis.set_ticks([0, 2, 4, 6, 8, 10])\n",
+    "ax.xaxis.set_ticklabels([0, 2, 4, 6, 8, 10], fontsize=10)\n",
+    "ax.yaxis.set_ticks([0, 5, 10, 15, 20])\n",
+    "ax.yaxis.set_ticklabels([0, 5, 10, 15, 20], fontsize=10)\n",
+    "plt.text(0.02, 0.98, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "plt.text(8.1, 21, '2.1%/K', fontsize=12, fontstyle='italic', rotation=90/2.5)\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 3)\n",
+    "plt.xlim(0, 1), plt.ylim(0, 1)\n",
+    "plt.axis('off')\n",
+    "ystart=1.0\n",
+    "delta=0.0666\n",
+    "for m in tm.modlist_aqct:\n",
+    "    if np.int(tm.modnumbers[m])<4:\n",
+    "        plt.text(0.1, ystart-delta*np.float(tm.modnumbers[m]), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(0.15, ystart-delta*np.float(tm.modnumbers[m]), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<7:\n",
+    "        plt.text(0.5, ystart-delta*(np.float(tm.modnumbers[m])-3), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(0.55, ystart-delta*(np.float(tm.modnumbers[m])-3), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<10:\n",
+    "        plt.text(0.9, ystart-delta*(np.float(tm.modnumbers[m])-6), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(0.95, ystart-delta*(np.float(tm.modnumbers[m])-6), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<13:\n",
+    "        plt.text(1.3, ystart-delta*(np.float(tm.modnumbers[m])-9), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(1.4, ystart-delta*(np.float(tm.modnumbers[m])-9), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<15:\n",
+    "        plt.text(1.7, ystart-delta*(np.float(tm.modnumbers[m])-12), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(1.8, ystart-delta*(np.float(tm.modnumbers[m])-12), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('figs/corrigendumpaper_figure12.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.0222412114421 0.826572583657 0.000267350217723\n",
+      "0.0206392447232 0.797472617398 0.0177410711526\n"
+     ]
+    }
+   ],
+   "source": [
+    "# fit of dpr vs dts under 4xco2\n",
+    "r, _, corr, p, _ = spstats.linregress((ts_aq4x - ts_aqct)[tm.modlist_aq4x], \n",
+    "                                      ((pr_aq4x - pr_aqct)/pr_aqct)[tm.modlist_aq4x])\n",
+    "print(r, corr, p)\n",
+    "\n",
+    "r, _, corr, p, _ = spstats.linregress((ts_ld4x - ts_ldct)[tm.modlist_ld4x], \n",
+    "                                      ((pr_ld4x - pr_ldct)/pr_ldct)[tm.modlist_ld4x])\n",
+    "print(r, corr, p)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure13.ipynb b/corrigendum-james-2019/corrigendumpaper_figure13.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..679c573bca3533f053588e2aae9ca8a51be56186
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure13.ipynb
@@ -0,0 +1,288 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 13 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load zonal-mean time-mean surface temperature and zonal wind, and monthly-mean precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct = np.nanmean(np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.timmean.npz')['ts']), axis=2)\n",
+    "ts_aq4x = np.nanmean(np.array(np.load('./postdata_npz/ts_aqua4xCO2TRACMIP.timmean.npz'  )['ts']), axis=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ua850_aqct = np.array(np.load('./postdata_npz/ua_aquaControlTRACMIP.zonmean.timmean.npz')['ua'])[:,2]\n",
+    "ua850_aq4x = np.array(np.load('./postdata_npz/ua_aqua4xCO2TRACMIP.zonmean.timmean.npz'  )['ua'])[:,2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct_mm = 86400*np.nanmean(np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.ymonmean.npz')['pr']), axis=3)\n",
+    "pr_aq4x_mm = 86400*np.nanmean(np.array(np.load('./postdata_npz/pr_aqua4xCO2TRACMIP.ymonmean.npz'  )['pr']), axis=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Time-mean precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct = np.nanmean(pr_aqct_mm, axis=1)\n",
+    "pr_aq4x = np.nanmean(pr_aq4x_mm, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate monthly-mean ITCZ position"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# my atmospheric python package for ITCZ calculation\n",
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules/')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_aqct_mm = np.zeros((tm.nmod, 12)) + np.nan\n",
+    "itcz_aq4x_mm = np.zeros((tm.nmod, 12)) + np.nan\n",
+    "for i in range(tm.nmod):\n",
+    "    for t in range(0, 12):\n",
+    "        itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], tm.latint, 30, 0.1)\n",
+    "        itcz_aq4x_mm[i, t] = atm.get_itczposition(pr_aq4x_mm[i, t, :], tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# caltech seasonal cycle shifted by 3 months\n",
+    "tmp = np.copy(itcz_aqct_mm[13,:])\n",
+    "itcz_aqct_mm[13,3:12] = tmp[0:9]\n",
+    "itcz_aqct_mm[13,0:3 ] = tmp[9:12]\n",
+    "tmp = np.copy(itcz_aq4x_mm[13,:])\n",
+    "itcz_aq4x_mm[13,3:12] = tmp[0:9]\n",
+    "itcz_aq4x_mm[13,0:3 ] = tmp[9:12]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "month  = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])\n",
+    "nmonth = month.size\n",
+    "\n",
+    "sinlat = np.sin(tm.latint*np.pi/180)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 960x640 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x640 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "\n",
+    "fig = plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 1)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "for m in tm.modlist_aq4x:\n",
+    "    plt.plot(sinlat, (ts_aq4x-ts_aqct)[m, :], color=tm.modcolors[m])\n",
+    "plt.plot(sinlat, np.nanmedian((ts_aq4x-ts_aqct)[tm.modlist_aq4x], axis=0), 'k', linewidth=3)\n",
+    "plt.xlim(-0.98, 0.98), plt.ylim(0, 16)\n",
+    "ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "ax.yaxis.set_ticks([0, 4, 8, 12, 16])\n",
+    "ax.yaxis.set_ticklabels([0, 4, 8, 12, 16], fontsize=10) \n",
+    "plt.title('Surface temperature', fontsize=14)\n",
+    "plt.ylabel('K', fontsize=12)\n",
+    "plt.text(0.02, 0.95, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "   \n",
+    "ax = plt.subplot(2, 2, 2)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "for m in tm.modlist_aq4x:\n",
+    "    plt.plot(sinlat, (pr_aq4x-pr_aqct)[m, :], color=tm.modcolors[m])\n",
+    "plt.plot(sinlat, np.nanmedian((pr_aq4x-pr_aqct)[tm.modlist_aq4x], axis=0), 'k', linewidth=3)   \n",
+    "plt.xlim(-0.98, 0.98), plt.ylim(-8, 8)\n",
+    "ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-8, -4, 0, 4, 8])\n",
+    "ax.yaxis.set_ticklabels([-8, -4, 0, 4, 8], fontsize=10) \n",
+    "plt.title('Precipitation', fontsize=14)\n",
+    "plt.ylabel('mm/day', fontsize=12)\n",
+    "plt.text(0.02, 0.95, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 3)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "plt.plot([-20, 20], [0, 0], 'k--')\n",
+    "for m in tm.modlist_aq4x:\n",
+    "    plt.plot(month, (itcz_aq4x_mm-itcz_aqct_mm)[m, :], color=tm.modcolors[m])\n",
+    "plt.plot(month, np.nanmedian((itcz_aq4x_mm-itcz_aqct_mm)[tm.modlist_aq4x], axis=0), 'k', linewidth=3)\n",
+    "plt.xlim(1, 12), plt.ylim(-2, 16)\n",
+    "ax.xaxis.set_ticks(month)\n",
+    "ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-2, 0, 5, 10, 15])\n",
+    "ax.yaxis.set_ticklabels([-2, 0, 5, 10, 15], fontsize=10) \n",
+    "plt.title('ITCZ position', fontsize=14)\n",
+    "plt.xlabel('month', fontsize=12)\n",
+    "plt.ylabel('deg lat', fontsize=12)\n",
+    "plt.text(0.02, 0.92, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "   \n",
+    "ax = plt.subplot(2, 2, 4)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "plt.plot([-10, 10], [0, 0], 'k--')\n",
+    "for m in tm.modlist_aq4x:\n",
+    "    plt.plot(sinlat, (ua850_aq4x-ua850_aqct)[m, :], color=tm.modcolors[m])\n",
+    "plt.plot(sinlat, np.nanmedian((ua850_aq4x-ua850_aqct)[tm.modlist_aq4x, :], axis=0), 'k', linewidth=3)\n",
+    "\n",
+    "plt.xlim(-0.98, 0.98), plt.ylim(-8, 9)\n",
+    "ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-8, -4, 0, 4, 8])\n",
+    "ax.yaxis.set_ticklabels([-8, -4, 0, 4, 8], fontsize=10)\n",
+    "plt.title('Zonal wind at 850 hPa', fontsize=14)\n",
+    "plt.ylabel('m/s', fontsize=12)\n",
+    "plt.text(0.02, 0.95, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('figs/corrigendumpaper_figure13.pdf')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure14.ipynb b/corrigendum-james-2019/corrigendumpaper_figure14.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..47c7fff6ce2958bb02f0005aecb42d6bf848c13a
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure14.ipynb
@@ -0,0 +1,348 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 14 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load global-mean time-mean surface temperature"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct = np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_aq4x = np.array(np.load('./postdata_npz/ts_aqua4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])\n",
+    "ts_ldct = np.array(np.load('./postdata_npz/ts_landControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_ld4x = np.array(np.load('./postdata_npz/ts_land4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])\n",
+    "ts_ldor = np.array(np.load('./postdata_npz/ts_landOrbitTRACMIP.fldmean.timmean.npz'  )['ts'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load zonal-mean monthly-mean precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct_mm = 86400*np.nanmean(np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.ymonmean.npz')['pr']), axis=3)\n",
+    "pr_aq4x_mm = 86400*np.nanmean(np.array(np.load('./postdata_npz/pr_aqua4xCO2TRACMIP.ymonmean.npz'  )['pr']), axis=3)\n",
+    "pr_ldct_mm = 86400*np.nanmean(np.array(np.load('./postdata_npz/pr_landControlTRACMIP.ymonmean.npz')['pr']), axis=3)\n",
+    "pr_ld4x_mm = 86400*np.nanmean(np.array(np.load('./postdata_npz/pr_land4xCO2TRACMIP.ymonmean.npz'  )['pr']), axis=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Time-mean precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct_tm = np.nanmean(pr_aqct_mm, axis=1)\n",
+    "pr_aq4x_tm = np.nanmean(pr_aq4x_mm, axis=1)\n",
+    "pr_ldct_tm = np.nanmean(pr_ldct_mm, axis=1)\n",
+    "pr_ld4x_tm = np.nanmean(pr_ld4x_mm, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate time-mean and monthly-mean ITCZ position"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# my atmospheric python package for ITCZ calculation\n",
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules/')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_aqct_tm = np.zeros(tm.nmod) + np.nan\n",
+    "itcz_aq4x_tm = np.zeros(tm.nmod) + np.nan\n",
+    "itcz_ldct_tm = np.zeros(tm.nmod) + np.nan\n",
+    "itcz_ld4x_tm = np.zeros(tm.nmod) + np.nan\n",
+    "for i in range(tm.nmod):\n",
+    "    itcz_aqct_tm[i] = atm.get_itczposition(pr_aqct_tm[i, :], tm.latint, 30, 0.1)\n",
+    "    itcz_aq4x_tm[i] = atm.get_itczposition(pr_aq4x_tm[i, :], tm.latint, 30, 0.1)\n",
+    "    itcz_ldct_tm[i] = atm.get_itczposition(pr_ldct_tm[i, :], tm.latint, 30, 0.1)\n",
+    "    itcz_ld4x_tm[i] = atm.get_itczposition(pr_ld4x_tm[i, :], tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_aqct_mm = np.zeros((tm.nmod, 12)) + np.nan\n",
+    "itcz_aq4x_mm = np.zeros((tm.nmod, 12)) + np.nan\n",
+    "itcz_ldct_mm = np.zeros((tm.nmod, 12)) + np.nan\n",
+    "itcz_ld4x_mm = np.zeros((tm.nmod, 12)) + np.nan\n",
+    "for i in range(tm.nmod):\n",
+    "    for t in range(0, 12):\n",
+    "        itcz_aqct_mm[i, t] = atm.get_itczposition(pr_aqct_mm[i, t, :], tm.latint, 30, 0.1)\n",
+    "        itcz_aq4x_mm[i, t] = atm.get_itczposition(pr_aq4x_mm[i, t, :], tm.latint, 30, 0.1)\n",
+    "        itcz_ldct_mm[i, t] = atm.get_itczposition(pr_ldct_mm[i, t, :], tm.latint, 30, 0.1)\n",
+    "        itcz_ld4x_mm[i, t] = atm.get_itczposition(pr_ld4x_mm[i, t, :], tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.stats as spstats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Aqua, annual-mean: 0.543590663688 7.5577420329e-06\n",
+      "Aqua, southern edge: 0.816887368733 2.59889683939e-05\n",
+      "Aqua, northern edge: 0.304908738199 0.00199924017696\n",
+      "Land, annual-mean: 0.267991213807 0.0431048350358\n",
+      "Land, southern edge: 0.33702736224 0.0422542890906\n",
+      "Land, northern edge: 0.235284493673 0.0966756210714\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x640 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure( figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 1)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "#ax.spines['bottom'].set_position('zero')\n",
+    "\n",
+    "plt.plot([200, 400], [0, 0], 'k:')\n",
+    "# crosses for seasonal excursions\n",
+    "for i in tm.modlist_aqct:\n",
+    "    plt.plot(ts_aqct[i], np.min(itcz_aqct_mm[i, :]), 'o', mec='k', mfc='none', mew=1)\n",
+    "    plt.plot(ts_aqct[i], np.max(itcz_aqct_mm[i, :]), 'x', mec='k', mfc='none', mew=1)\n",
+    "for i in tm.modlist_aq4x:\n",
+    "    plt.plot(ts_aq4x[i], np.min(itcz_aq4x_mm[i, :]), 'o', mec='k', mfc='none', mew=1)\n",
+    "    plt.plot(ts_aq4x[i], np.max(itcz_aq4x_mm[i, :]), 'x', mec='k', mfc='none', mew=1)\n",
+    "# model numbers\n",
+    "for i in tm.modlist_aqct:\n",
+    "    plt.text(ts_aqct[i], itcz_aqct_tm[i], tm.modnumbers[i], color=tm.modcolors[i], fontsize=14, \\\n",
+    "    fontweight='normal', ha='center', va='center', backgroundcolor='none')\n",
+    "for i in tm.modlist_aq4x:\n",
+    "    plt.text(ts_aq4x[i], itcz_aq4x_tm[i], tm.modnumbers[i], color=tm.modcolors[i], fontsize=14, \\\n",
+    "    fontweight='normal', ha='center', va='center', backgroundcolor='none')\n",
+    "\n",
+    "plt.xlim(288, 308), plt.ylim(-11, 21)\n",
+    "plt.xlabel('Surface temperature (K)', fontsize=12)\n",
+    "plt.ylabel('ITCZ (deg lat)', fontsize=12)\n",
+    "plt.title('Aquaplanet simulations', fontsize=14)\n",
+    "ax.xaxis.set_ticks([288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308])\n",
+    "ax.xaxis.set_ticklabels([288, '', 292, '', 296, '', 300, '', 304, '', 308], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15, 20])\n",
+    "ax.yaxis.set_ticklabels([-10, '', 'Eq', '', 10, '', 20], fontsize=10)\n",
+    "plt.text(0.02, 0.98, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "# fit through annual-mean itcz and northern and southern seasonal excursions\n",
+    "# with respect to surface temperature\n",
+    "xfit = np.linspace(280, 320, 100)\n",
+    "xdata = np.concatenate((ts_aqct[tm.modlist_aqct], ts_aq4x[tm.modlist_aq4x]))\n",
+    "ydata = np.concatenate((itcz_aqct_tm[tm.modlist_aqct], itcz_aq4x_tm[tm.modlist_aq4x]))\n",
+    "r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k', linewidth=2)\n",
+    "print('Aqua, annual-mean:', r, p)\n",
+    "xdata = np.concatenate((ts_aqct[tm.modlist_aqct], ts_aq4x[tm.modlist_aq4x])) \n",
+    "ydata =np.nanmin(np.concatenate((itcz_aqct_mm[tm.modlist_aqct], itcz_aq4x_mm[tm.modlist_aq4x])), axis=1)\n",
+    "r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)\n",
+    "print('Aqua, southern edge:', r, p)\n",
+    "xdata = np.concatenate((ts_aqct[tm.modlist_aqct], ts_aq4x[tm.modlist_aq4x]))\n",
+    "ydata =np.nanmax(np.concatenate((itcz_aqct_mm[tm.modlist_aqct], itcz_aq4x_mm[tm.modlist_aq4x])), axis=1)\n",
+    "r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)\n",
+    "print('Aqua, northern edge:', r, p)\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 2)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "#ax.spines['bottom'].set_position('zero')\n",
+    "\n",
+    "plt.plot([200, 400], [0, 0], 'k:')\n",
+    "# crosses for seasonal excursions\n",
+    "for i in tm.modlist_ldct: \n",
+    "    plt.plot(ts_ldct[i], np.min(itcz_ldct_mm[i, :]), 'o', mec='k', mfc='none', mew=1)\n",
+    "    plt.plot(ts_ldct[i], np.max(itcz_ldct_mm[i, :]), 'x', mec='k', mfc='none', mew=1)\n",
+    "for i in tm.modlist_ld4x:    \n",
+    "    plt.plot(ts_ld4x[i], np.min(itcz_ld4x_mm[i, :]), 'o', mec='k', mfc='none', mew=1)\n",
+    "    plt.plot(ts_ld4x[i], np.max(itcz_ld4x_mm[i, :]), 'x', mec='k', mfc='none', mew=1)\n",
+    "# model numbers\n",
+    "for i in tm.modlist_ldct:   \n",
+    "    plt.text(ts_ldct[i], itcz_ldct_tm[i], tm.modnumbers[i], color=tm.modcolors[i], fontsize=14, \\\n",
+    "    fontweight='normal', ha='center', va='center', backgroundcolor='none')\n",
+    "for i in tm.modlist_ld4x:\n",
+    "    plt.text(ts_ld4x[i], itcz_ld4x_tm[i], tm.modnumbers[i], color=tm.modcolors[i], fontsize=14, \\\n",
+    "    fontweight='normal', ha='center', va='center', backgroundcolor='none')\n",
+    "    \n",
+    "plt.xlim(288, 308), plt.ylim(-11, 21)\n",
+    "plt.xlabel('Surface temperature (K)', fontsize=12)\n",
+    "#plt.ylabel('ITCZ (deg lat)', fontsize=12)\n",
+    "plt.title('Land simulations', fontsize=14)\n",
+    "ax.xaxis.set_ticks([288, 290, 292, 294, 296, 298, 300, 302, 304, 306, 308])\n",
+    "ax.xaxis.set_ticklabels([288, '', 292, '', 296, '', 300, '', 304, '', 308], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15, 20])\n",
+    "ax.yaxis.set_ticklabels([-10, '', 'Eq', '', 10, '', 20], fontsize=10)\n",
+    "plt.text(0.02, 0.98, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "# fit through annual-mean itcz and northern and southern seasonal excursions\n",
+    "# with respect to surface temperature\n",
+    "xfit = np.linspace(280, 320, 100)\n",
+    "xdata = np.concatenate((ts_ldct[tm.modlist_ldct], ts_ld4x[tm.modlist_ld4x]))\n",
+    "ydata = np.concatenate((itcz_ldct_tm[tm.modlist_ldct], itcz_ld4x_tm[tm.modlist_ld4x]))\n",
+    "r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k', linewidth=2)\n",
+    "print('Land, annual-mean:', r, p)\n",
+    "xdata = np.concatenate((ts_ldct[tm.modlist_ldct], ts_ld4x[tm.modlist_ld4x]))\n",
+    "ydata =np.nanmin(np.concatenate((itcz_ldct_mm[tm.modlist_ldct], itcz_ld4x_mm[tm.modlist_ld4x])), axis=1)\n",
+    "r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)\n",
+    "print('Land, southern edge:', r, p)\n",
+    "xdata = np.concatenate((ts_ldct[tm.modlist_ldct], ts_ld4x[tm.modlist_ld4x]))\n",
+    "ydata =np.nanmax(np.concatenate((itcz_ldct_mm[tm.modlist_ldct], itcz_ld4x_mm[tm.modlist_ld4x])), axis=1)\n",
+    "r, b, corr, p, _ = spstats.linregress(xdata, ydata); plt.plot(xfit, r*xfit + b, 'k--', linewidth=2)\n",
+    "print('Land, northern edge:', r, p)\n",
+    "\n",
+    "ax = plt.subplot(2, 2, 3)\n",
+    "plt.xlim(0, 1), plt.ylim(0, 1)\n",
+    "plt.axis('off')\n",
+    "ystart=1.0\n",
+    "delta=0.0666\n",
+    "for m in tm.modlist_aqct:\n",
+    "    if np.int(tm.modnumbers[m])<4:\n",
+    "        plt.text(0.1, ystart-delta*np.float(tm.modnumbers[m]), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(0.15, ystart-delta*np.float(tm.modnumbers[m]), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<7:\n",
+    "        plt.text(0.5, ystart-delta*(np.float(tm.modnumbers[m])-3), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(0.55, ystart-delta*(np.float(tm.modnumbers[m])-3), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<10:\n",
+    "        plt.text(0.9, ystart-delta*(np.float(tm.modnumbers[m])-6), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(0.95, ystart-delta*(np.float(tm.modnumbers[m])-6), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<13:\n",
+    "        plt.text(1.3, ystart-delta*(np.float(tm.modnumbers[m])-9), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(1.4, ystart-delta*(np.float(tm.modnumbers[m])-9), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<15:\n",
+    "        plt.text(1.7, ystart-delta*(np.float(tm.modnumbers[m])-12), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "        plt.text(1.8, ystart-delta*(np.float(tm.modnumbers[m])-12), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('figs/corrigendumpaper_figure14.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure15.ipynb b/corrigendum-james-2019/corrigendumpaper_figure15.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..cff37092dcaff7ae8725b77b6128f0aa43a6f4b7
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure15.ipynb
@@ -0,0 +1,252 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 15 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load time-mean precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct = 86400*np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.timmean.npz')['pr'])\n",
+    "pr_aq4x = 86400*np.array(np.load('./postdata_npz/pr_aqua4xCO2TRACMIP.timmean.npz'  )['pr'])\n",
+    "pr_ldct = 86400*np.array(np.load('./postdata_npz/pr_landControlTRACMIP.timmean.npz')['pr'])\n",
+    "pr_ld4x = 86400*np.array(np.load('./postdata_npz/pr_land4xCO2TRACMIP.timmean.npz'  )['pr'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Zonal-mean time-mean precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct_zm = np.nanmean(pr_aqct, axis=2)\n",
+    "pr_aq4x_zm = np.nanmean(pr_aq4x, axis=2)\n",
+    "pr_ldct_zm = np.nanmean(pr_ldct, axis=2)\n",
+    "pr_ld4x_zm = np.nanmean(pr_ld4x, axis=2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate time-mean ITCZ position for land simulations at each longitude"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# my atmospheric python package for ITCZ calculation\n",
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules/')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_ldct = np.zeros((tm.nmod, tm.nlonint)) + np.nan\n",
+    "itcz_ld4x = np.zeros((tm.nmod, tm.nlonint)) + np.nan\n",
+    "for m in range(tm.nmod):\n",
+    "    for i in range(tm.nlonint):\n",
+    "        itcz_ldct[m,i] = atm.get_itczposition(pr_ldct[m,:,i], tm.latint, 30, 0.1)\n",
+    "        itcz_ld4x[m,i] = atm.get_itczposition(pr_ld4x[m,:,i], tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_niceplot1(ax):\n",
+    "    ax.spines['right'].set_color('none')\n",
+    "    ax.spines['top'].set_color('none')\n",
+    "    ax.xaxis.set_ticks_position('bottom')\n",
+    "    ax.yaxis.set_ticks_position('left')\n",
+    "    ax.xaxis.set_ticks([-8, -6, -4, -2, 0, 2, 4, 6, 8])\n",
+    "    ax.xaxis.set_ticklabels(['-8', '', '-4', '', '0', '', '4', '', '8'], fontsize=10)\n",
+    "    ax.yaxis.set_ticks([-0.5, 0, 0.5])\n",
+    "    ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10) \n",
+    "    plt.xlim(-8, 8), plt.ylim(-0.6, 0.6)  \n",
+    "\n",
+    "def make_niceplot2(ax):\n",
+    "    ax.xaxis.set_ticks([-120, -60, 0, 60, 120])\n",
+    "    ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'], fontsize=10)\n",
+    "    ax.yaxis.set_ticks([-0.5, 0, 0.5])\n",
+    "    ax.yaxis.set_ticklabels([''], fontsize=10) \n",
+    "    plt.xlim(-175, 175), plt.ylim(-0.6, 0.6)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x640 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k')\n",
+    "clev = np.array([-3.25, -2.75, -2.25, -1.75, -1.25, -0.75, -0.25, 0.25, 0.75, 1.25, 1.75, 2.25, 2.75, 3.25])\n",
+    "\n",
+    "ax = plt.subplot2grid((2, 6), (0, 0))\n",
+    "for m in tm.modlist_aq4x:\n",
+    "    plt.plot((pr_aq4x_zm-pr_aqct_zm)[m], sinlat, color=tm.modcolors[m])\n",
+    "plt.plot(np.nanmedian((pr_aq4x_zm-pr_aqct_zm)[tm.modlist_aq4x], axis=0), sinlat, color='k', linewidth=3)\n",
+    "make_niceplot1(ax)\n",
+    "plt.text(0.05, 0.94, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "plt.xlabel('mm/day', fontsize=12)\n",
+    "plt.title('Aqua', fontsize=14)\n",
+    "\n",
+    "ax = plt.subplot2grid((2, 6), (0, 1), colspan=3)\n",
+    "c = plt.contourf(tm.lonint, sinlat, np.nanmedian((pr_ld4x-pr_ldct)[tm.modlist_ldct],axis=0), clev, extend='both', cmap=cm.BrBG)\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(tm.lonint, np.sin(np.nanmedian(itcz_ldct[tm.modlist_ldct], axis=0)*np.pi/180.0), 'k', linewidth=2)\n",
+    "make_niceplot2(ax)\n",
+    "plt.text(0.02, 0.94, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "plt.title('Land', fontsize=14)\n",
+    "\n",
+    "\n",
+    "ax = plt.subplot2grid((2, 6), (1, 1), colspan=3)\n",
+    "ax.axis('off')\n",
+    "cbar = plt.colorbar(c, ticks=[-3, -2, -1, 0, 1, 2, 3], orientation='horizontal', aspect=40)\n",
+    "cbar.ax.tick_params(labelsize=10)\n",
+    "plt.text(1, -0.17, 'mm/day', fontsize=10, ha='right')\n",
+    "\n",
+    "ax = plt.subplot2grid((2, 6), (0, 4))\n",
+    "for m in tm.modlist_ld4x:\n",
+    "    plt.plot((pr_ld4x_zm-pr_ldct_zm)[m], sinlat, color=tm.modcolors[m])\n",
+    "plt.plot(np.nanmedian((pr_ld4x_zm-pr_ldct_zm)[tm.modlist_ld4x], axis=0), sinlat, color='k', linewidth=3)\n",
+    "make_niceplot1(ax)\n",
+    "ax.spines['left'].set_color('none')\n",
+    "ax.yaxis.set_ticks_position('none')\n",
+    "ax.yaxis.set_ticklabels([''], fontsize=10) \n",
+    "plt.text(0.05, 0.94, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "plt.xlabel('mm/day', fontsize=12)\n",
+    "plt.title('Land', fontsize=14)\n",
+    "\n",
+    "ax = plt.subplot2grid((2, 6), (0, 5))\n",
+    "for m in tm.modlist_ld4x:\n",
+    "    plt.plot((pr_ld4x_zm-pr_ldct_zm)[m] - (pr_aq4x_zm-pr_aqct_zm)[m], sinlat, color=tm.modcolors[m])\n",
+    "plt.plot(np.nanmedian(((pr_ld4x_zm-pr_ldct_zm)-(pr_aq4x_zm-pr_aqct_zm))[tm.modlist_ld4x], axis=0), sinlat, color='k', linewidth=3)\n",
+    "make_niceplot1(ax)\n",
+    "ax.yaxis.set_ticks_position('right')\n",
+    "ax.spines['right'].set_color('k')\n",
+    "ax.spines['left'].set_color('none')\n",
+    "plt.text(0.05, 0.94, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='none')\n",
+    "plt.xlabel('mm/day', fontsize=12)\n",
+    "plt.title('Land-Aqua', fontsize=14)\n",
+    "ax.xaxis.set_ticks([-4, -3, -2, -1, 0, 1, 2, 3, 4])\n",
+    "ax.xaxis.set_ticklabels(['-4', '', '-2', '', '0', '', '2', '', '4'], fontsize=10)\n",
+    "plt.xlim(-4, 4)\n",
+    "\n",
+    "plt.tight_layout\n",
+    "plt.savefig('figs/corrigendumpaper_figure15.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure16.ipynb b/corrigendum-james-2019/corrigendumpaper_figure16.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..08a533e963686af3dc5c4414a61cd115e14b67e3
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure16.ipynb
@@ -0,0 +1,304 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 16 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load monthly-mean precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_ldct = 86400*np.array(np.load('./postdata_npz/pr_landControlTRACMIP.ymonmean.npz')['pr'])\n",
+    "pr_ldor = 86400*np.array(np.load('./postdata_npz/pr_landOrbitTRACMIP.ymonmean.npz'  )['pr'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Note: Caltech is 3 months out of phase"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tmp = np.copy(pr_ldct[13,:])\n",
+    "pr_ldct[13,3:12] = tmp[0:9]\n",
+    "pr_ldct[13,0:3 ] = tmp[9:12]\n",
+    "\n",
+    "tmp = np.copy(pr_ldor[13,:])\n",
+    "pr_ldor[13,3:12] = tmp[0:9]\n",
+    "pr_ldor[13,0:3 ] = tmp[9:12]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Precipitation longitudinally averaged over land and ocean regions individually"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[  1.   3.   5.   7.   9.  11.  13.  15.  17.  19.  21.  23.  25.  27.  29.\n",
+      "  31.  33.  35.  37.  39.  41.  43.]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(tm.lonint[90:112])\n",
+    "pr_land_ldct = np.nanmedian(pr_ldct[:, :, :, 90:112], axis=3)\n",
+    "pr_land_ldor = np.nanmedian(pr_ldor[:, :, :, 90:112], axis=3)\n",
+    "pr_ocea_ldct = np.nanmedian(np.concatenate((pr_ldct[:, :, :, 0:90], pr_ldct[:, :, :, 112:]), axis=3), axis=3)\n",
+    "pr_ocea_ldor = np.nanmedian(np.concatenate((pr_ldor[:, :, :, 0:90], pr_ldor[:, :, :, 112:]), axis=3), axis=3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate monthly-mean ITCZ position for land and ocean regions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# my atmospheric python package for ITCZ calculation\n",
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules/')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "month  = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])\n",
+    "nmonth = month.size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_land_ldct = np.zeros((tm.nmod,nmonth)) + np.nan\n",
+    "itcz_ocea_ldct = np.zeros((tm.nmod,nmonth)) + np.nan\n",
+    "itcz_land_ldor = np.zeros((tm.nmod,nmonth)) + np.nan\n",
+    "itcz_ocea_ldor = np.zeros((tm.nmod,nmonth)) + np.nan\n",
+    "for m in range(tm.nmod):\n",
+    "    for t in range(nmonth):\n",
+    "        itcz_land_ldct[m,t] = atm.get_itczposition(pr_land_ldct[m,t], tm.latint, 30, 0.1)\n",
+    "        itcz_ocea_ldct[m,t] = atm.get_itczposition(pr_ocea_ldct[m,t], tm.latint, 30, 0.1)\n",
+    "        itcz_land_ldor[m,t] = atm.get_itczposition(pr_land_ldor[m,t], tm.latint, 30, 0.1)\n",
+    "        itcz_ocea_ldor[m,t] = atm.get_itczposition(pr_ocea_ldor[m,t], tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_niceplot(ax, modelname):\n",
+    "    ax.xaxis.set_ticks([-120, -60, 0, 60, 120])\n",
+    "    ax.xaxis.set_ticklabels([''], fontsize=11)\n",
+    "    ax.yaxis.set_ticks([-0.5, 0, 0.5])\n",
+    "    ax.yaxis.set_ticklabels([''], fontsize=11) \n",
+    "    plt.text(0.03, 0.93, modelname, fontsize=15, ha='left', va='center', \\\n",
+    "             transform=ax.transAxes, backgroundcolor='white')\n",
+    "    plt.xlim(-175, 175), plt.ylim(-0.6, 0.6) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Oi2+Mxed28Yu16UOIC6kF00LgaAF68oM7Rj/OhlU1HN9//z18fX0BAD///DNGjRqF1NRUJCYmYty4cUhISMDOnTsxevRoHD9+XL1faWkpPv/8cyQmJnKTeg2uX7+Ojh07YvTo0fD29kZqairmzZuHwsJCLFiwQL1d165d9QoMgiAIQljEWK7k5eVh1KhRmDNnDurXr4/Vq1djwIABOHv2LFq2bAmgqkwpKChASkoKunTpYvJ4JAHODVdzS9gTewqAFL4PLjF1vY4mXoCVwqEqFADg/v37kMlkyMvLQ2pqKvbv3w8AePHFF/HWW2/h2rVraNy4MQBg/vz5mDlzJkaMGAEvLy/bU6/BkCFD1H8zDIPu3bujtLQUq1at0hKOdu3aYfXq1SgsLNS6DoIgCEI4xFiuFBQUYOvWrXj22WcBVNXChIWF4aOPPsLWrVsBAK1bt4ZMJsPJkyfNCgdBaGIoqBRL0G2vgFcs1ys2HFFGrGpSBQCvvfYaQkND8cEHH2DLli24ceMGGjRoALm8ymFcXFzQsGFDZGVlqfeJiopCXFwcPv30U9tTrkNBQQEmTZqExo0bw83NDQqFArNmzUJeXh4KCwvV29WrV/VD3bp1i/M0EARBENYjtnLF29tbLRsA4ObmhgEDBuDEiRPqZXK5HL6+vlSmEDYjpuCb72Y/ztqsiAuk2izLauH4+uuvcePGDSxcuBDTpk0DUFUYaMIwjN5+CxcuxMqVK3H37l2jx16xYgVCQkLUn0ePHplNT0JCArZs2YKJEyfi999/R3JyMmbNmgUAKCkpUW/n4eEBACguLjZ/kQRBEITdEFu54u/vr7esfv36uHnzptYyDw8PKlMIi5FCm36u0yjma5UiUriHVFgtHCpGjhyJP//8EyEhIcjOzlZ33mMYBjdu3EDDhg21tg8LC8Mrr7yChQsXGj3mlClTkJ2drf7UqlXLZBpKSkqwZ88ezJw5E5MnT0avXr0QHR2tfiumSUFBAQCgbt26ll4qQRAEYQfEUK4AQH5+vt6y27dvIygoSGtZQUEBlSkEa6QQHBrDlrRL9ZqlhJjlw2LhePDggdbbnZ9++gl169ZFQEAA2rdvj2+//RYA8OOPP6Jx48bqdraazJ49G99++63eWyJrKS0thVKpVNdeAIBSqcT27dv1tr169Spq1aqF4OBgTs5NEARB2IYYyxUAePz4Mfbt26f+f1lZGX755Rd07txZvez27dsoLi4W5TwcBMEHUu1D4EyI8TeyuNP4/fv38eKLL6K4uBgymQz+/v747bff4OLigg0bNiAhIQGLFi1C7dq1sWXLFoPH8Pf3xzvvvIM5c+bYfAEAUKdOHcTExGDp0qXw9/eHt7c31qxZozVUoork5GR06dIFrq6unJybIAiCsA0xlisA4Ofnh/Hjx2Pu3LnqUapu376tbq4LVJUpANCtWzfOzks4NlKdRdzWIJbv696dcVH998CIVrydR8yIUTRUuDCGGsSKjODgYGRkZgIAvI2MQnLlyhWMHz8eSUlJ8PHxweuvv46wsDCMHTsWubm5CAwMRGlpKerXr4/ly5djzJgxRs/3uKiIl+sgCIIQksiICGRnZwudDFGgKleMlSkJCQk4ceIE1qxZg6lTpyI9PR1NmzbFxx9/jL59+6q3Gz9+PC5cuICjR4+aPB+VK4QhpCAeXAax9hIOFc4oHvaUDkvKFIcRDjbs2rULCQkJyMnJgY+Pj9HtqGAgCMIRIeGowZxwsKGsrAzBwcFYvnw5Ro4caXJbKlcIY5B0EHzCp4BYUqbY3GlcSnzyySeYOnWqSdkgCIIgCDZs2bIFfn5+GD58uNBJISSMmJvBqOBSEqRwvY6EWEaysmriPylSWFiIPn36YMqUKUInhSAIgnAAFAoFvvjiC4MjIhKEOaT2pl83vZaKg9Su11FJfnBHEOlzmlzS19cXc+fOFToZBEEQhIOQkJAgdBIII9ga3PIRkDlawG1OQBztegnbcBrhIAiCIAjCceEywOXiWFIdjcpanOlapY4QtRwkHARBEARBSB6hA3xDAZzQaSIIXYTqQyM54WAYBi4uLrwenyCcBaYgCS5+sUIngyAEg+8yRXUOwj5oBlPWBvpcB2TGjudoIsLFd09wi5g66EtOOIqKi4VOAkFIDqYgidU6kg/C2aAyxXERU7BlCEcQEWPXoFoupWuRMmK/1wEJCgdBEOYxJRhc7keCQhAEwS1iExFbglkSD26RglgYg4SDIBwIa0VDyPORtBAEQZjHVLBpTUBvz+CVxIMbhBrSlgtIOAjCAbC3aHAJ27STmBAEQRhGKkEo9fOwHalKBwkHQTgALn6xkpYONpi7PhISgiAI6UAjeFmP6nuTkniQcBCEg+AM0mEKU9dOMkJvEwmCEB/U1Mo2NL83scsHCQdBOBDOLh3GcPbaESrMCYIQMyQetmPouxOThJBwEISDQdJhOY4+NLCYCh2CIAhjkHhwi7HvUYgygYSDIBwQkg7rockQCYIghIU6l/OLECJCwkEQDooqaCbxsBzVd0biQRAEISwkH/aDz87oJBwE4eBoBs0kH5ah+32RgBAEwQZHb6YpBCQb9oOPoXdJOAjCiRCDfOSc3W10XXC7gXZMieWQgBAEoYu5vNTQeso7CLHDdW0HCQdBOCn2kg9TgmHptmISErEHDPQ2kCD4gYv8kmpA2EN5mbBwVdtBwkEQBG+dzC2RDSkgxsCACmOCsB/ULNW+UP4mDrio7SDhIAgCAPfSwYds5JzdbfdaDrFJBhXABCEMJBv2hfI68WGLeMi4TgxBEASfNRv2rjWhIIMgCD7zAcpjakh+cEf9IcSLNb8P1XAQBMEZ9pIB1XnsVdshpk6fNDEWQdgXEgL+ofxMelj6m5FwEAQBwLZCVai+GvYWD02ElpCOtetRIU0QPGJP0XDGCUcp/3IuSDgIgrAaa0Xj4v/2qP9u1bsfZ+kQehQre488Q9JBENwiZG2GI0oH5U+EChIOgnByrC1guZAN1f+5kA5APOIB2C94IOkgCMsRazMpKQ6XS/kPwQYSDoJwMrgoaLluQsWldADiEg+CIIRDrGLBBrHKBwmGMOzOuGh2m4ERreyQEuuQhHCUMZWcz3hIEI4OXwWtLbKhW7uhu45L6bAnQgcDmvkiBQOEsyJluTCHqWuzd/6jG4dRnmM9bCTCmuOJUTwkIRya6N7YJCAEYb+Cli/Z0NyGC+ngs2ZDaLkwh6E8kQICwtFwZLmwFEu/C67zMDZxmDPlQVxLhK1pEIt8SE44dCEBIZwJIQtZvmVDc1tbpINr2RC7YLCB8kVCypBccIsQgmIuD5KqkIhBLswhFvmQvHDoonnTUiFLOBrGMn4xF8iWyAZBEAQgjjyNr+G+pda3zNhvweXLGGPxmthFZGBEK0lIhwohm1y5MAzD2P2sFuLfIAg/pJ60en8SD8KZ4bLgtrQAtkU2rKnl4Ksgd4RaDgCIjIhAdna20MkQBcHBwcjIzBQ6GYQR7C0cQs0lpEJqEgLYP18Uu3wA0qjxUMGFdLwaHcu6THG4Gg5DJD+4Q9JBOC2ahYKthbiqUGRbOKukwRLxsLY5lRQLbIIg7I/QcmEI3TSJPT8T4iWMFAbHUAXxUhAP3TTyXevhFDUcANVyEM6JmDuTc9FB3N6FstRrOqiGowaq4RAvXOdbYhQMSxC7fOhiz3xSrOKhQgriYQ5TImJJDYfDCweJBuFoiKFtsyn4LtzFVPhKTUBIOGog4RAfXOVtQgqGodpcrob7FlPeZyl85pUkHcIwMKIVCQdAokFYDleFnZiDUKm2i5ZCQSvm310FCUcNJBziwta8yZ6SYetAGGIf+ttecJlnknQIww/DxjpnHw6SDMIWpBAw2oq9R7mytM+Hsf3FjjPcOwTBF1zkP8HtBvIqHVyOtqc6lrP3V1P97s6Qf/I1mtWvx04YXde/a2fOz2cLkhYOEgyC4AYXv1heaz8sEQ8pFabOUFASBJ9wme/Y+oKDEAamIMkp8lIuO5SbEg1z2wglIpITDpIMgpAu5t5Cilk2nKFAJAhHQCriYc3AGWLOI23BWaQDsL22g41sWLs/nzIiOeFg206PxIQg2GHPfh3mAoCcs7sFK1CdpbAjCGdBKuJBVGGLdHSsXU/0/Tg0EeuEgWxkxlopcdhO42whMSGcCal0GqcJ/PiBOo3XQJ3GxYM98iVbpYPLPhy6OEoth+Z3bEsa7ZVPi0FQrJUOW2s5uKJk3efO2WncGkzdcCQjhFQRcuhcLt4mclnT4eySQRAE/53KbcHSplVC1gQbwtD3aksa7dW8io8Yz1KJEWtNBx84vXCYQnXjkHgQYkbqcqELlwUpyQZhjDKmkvJ4J0KssmENYpENPpvISnUEK2uadlkjHf27dhZNLQdbSDhYkPzgDhVIhKgQU78LLuCjAJVaQUUIh2aAQHm9feErL+Mq3+KzKZUKS2o3pCIbutvZKh6AY+fp1oxgpdmXQgry4fR9OKyBCiTC3vAtGEK+/SPZsB/Uh6MGNuUK5fX8wmW+xnUexrdoOEK/DUu/c66vQcz5vC39Q2xtYmUv+biSkowGJ9KoDwef0Nswwl7wIRqO1LSAIPiE8nr+4CJv4zIvE1OncIDbTtd8T+yqi736mBi6LrFIiC2jZtnar0NV88G1eFxJSbZpfxIOG9G9oahQIriCq0JC7IIhtg6QBGEI6u/BHbbkbbbkZ1xKhbWzhBuC735rmsvs0RxXyPzc3PXZU0iElA4usFUwdCHh4BgqlAihEbtg8I2qQCkvL8fVq1eRnp6O9H//RUZGBtLT05GRkYGysjLUr18fgYGBCAwKQmBgIIKCghBYvSwoKAj1AwNRt25dyGQyga+IEBPUp08YLM3XbJELLmXCGEI1JVVtI+RgI0Ji6rr5kBGpSQfXkqGJJITDzUWml8GLYfxkY1BhRNiKpYUBX4WxPQpewLZajkePi5FxKQuZuR74Nz0dGRlrkZ6ejiuXL6O8vNzofllZWcjKyjJ5bIVCoScmunISGBQEf39/EhMngqTDesSSt5k7Bp95H181AGyGk3VW0WCDM812LgSSEA5DmMvs7S0kVPgQQmFJgWxpYWxoe74KYlPSwTAM8u8UIj0zCxmXs5CemYX0S1nIuJLHayfo8vJyZGdnmz2HzNUVTwT4o25AAOrWD0Dd+vXRumHjGjkJDERQYCD8AwLg6urKW3oNQQEGIVX4zNvYHI+PvI7v5kb2eN51g/KKigr8+++/OJOaitQzZ3D1yhXIZDK4urrCVS6HXC6H3NUVcrkcrpX3IHd1haurrHqZK1zlrjV/y2R6y1Tbu6r+r7O9q3qZDL51fPBkizB4eLhZfT1iQgxNq7hCssJhDr6FhASD4Au2BQbbwpiPgtgQXBTOSqUS17JuIePyjSq5uHQD6ZeykHnpBgruP7T6uH7+/mjULBwNmzVFw6ZN4VXLG3dv5+FeXh7u3s7D3du3q/7Ny0d5aanFx69UKnEn9xbu5N5SL/vVwHYymQyhTcPRoXs3vPJsP3Tv3h21atWy+rqMQZLBP1TLwS9C5W+Gjs2VeIi5rxrboLuyshIZ6ek4k5qKlJQUnDlzBufOnUNxcTHPKWSPm5sCbZ9sipjoloiJaolOHVqiQZD+sypm0RCKsA4deWtWJYlhcYODg5GRmSl0MgjCbohdOthirKAur1DiUtY9XLlRgMvZBbhyowBXsgtwLacQZeVKq84lk8nQuHFjREZGIjIyEhEREagMDUTDpk3h41uH1TEYhsHDwvu4m5eHu7duq6Xkzq3buJuXh3saclJaUmJVOjWRy+XoFBOD+Ph4xMfHIyoqCnK59e+BzN03zWMSaFjcargcbp3Egx1C5WtJabmIbRPEaltj2CodYpYNo/h2wdWrV5GamorUlBSknjmDc2fP4uFD61/+CEVocAA6dWiJTlEtEBPdCq1bhsHNTaG1DZ8CIsQwudaOUmWJcFgyLC4JB0GIEEveUItdOlS06t0Pefce47t9F7Bj3wXcLbTujZiHuxuahYcgsmUUIps3R0REBCIjI9G0aVN4eHhobctX00qGYfD44cMqKVHJibq2JE9LVEqKilgft06dOojr0UMtIGFhYXBxcTGfHpb3CwlHDXzM70Qn31l0AAAgAElEQVTiYRwhZUMTa8XD0YWDYRhk38xH6rl0nEnLQOq5DJxNy7SoZtnVVYYWLVqiVatWUCgUqCjKRYVSiYoKJSoqKqGsVEJZoaxeVokKpRJKpRLK6r8r1OuUqFQaWFZZWX2smmXW4uHuhvZtIxDToaoGJKZDSwT4+7Ha1xYxsaZMsrdwqGAjHiQcBOEA8CEdgDDikZFbgr1nHyAp8zGUlez28fP1QWSzhohs2hCRzRoiIjwUkc0aomFIfchkMlaZvpCDS6iCz4cPHyI3Nxe3bt3CjawsHDlyBAcPHsTNmzfNHqNhw4aIj49Hz/h4PPXUU6hbt67eNpbcJyQcNfA9oayzy4c1zfq4lA1d0dBECOkQm3Dcun0XqWkZSD1bLRhpmbhzt5D1/i4uLohoGoqoNhFo3yYC7dtGoE2rcHh5epjfmSMYhkFlZSWU1XJSXq7EtaxcnDx9EadS/sGp1L9x9brx+0CXJo2C0CmqJTp1qKoFadW8CeRyy/rcsZURS8smS6WDyzk4TIkHCQdBOAh8SQfAjXiYKoDLypX44+glfPNrGtIybhvdrkGAD8JC/NA2KhoRTRsiommVWPjX9TW6D1+Zui1YEmAyDIP09HQcPHgQfx48iCNHjuDRo0cm93FxcUG7du3UAtK5OeDuzr5jJEDCoQnfwmEKR5URW/sOscnDbJUNTawRDylKR/7dQpxNy0TquXSkpmXgzLkM5N6+a9Exwhs3QPu2VXIR1SYCbVs3g08tL55SzB238+7hVOo/OHn6b5xK/RtnzmWgpLSM1b7eXh6IahuJmOiqWpCOUS1Q7wnTzXOtqf1gW05ZU9PBt3iQcBCEA2GPYSS5HI0lv+Axduy7iB37LiC/QL85kYsL8FTHxhj+XBs89/IYeHt5sj42n5m5JXAdMJaXlyM5OVktIKdPn4ZSabq5gKeHO7rGtEbPuCjEd++AVi2amG1+RcJRg5DCYQipSog9Jyg1JxtsRUMXS8VDzJ3Iy8srkHIuHUknzyP1XAbOpGUgK9v4Cx9DNAypX1Vr0SYCUW0j0K51M/j5+nCeViEoKytH2sXLOJXyd7WIXET2zXzW+zcNC6mqAeneHzExMWjRogWnIw/yXfOhgisRKVn3OQkHQTgSfEsHF5zPuI1vfk3DviOZKK/QbzdV28cLI15+FuNGDkBY4wYWHdvebWZ1sXcweP/+fRzauxF/HknBwcOpuHw1x+w+/vV80bNblFpADI3KQsJRg9iEQxexCwiXI6GZy6+4rNUwhyXywfWwudYIiFKpxLkLl3Do2FkcSTqHpFPn8biI/YAWgfWfQFTbyJqmUW2awb8eu74MYoCLjt43b97EyZMncfLECZw6dQpnzpwxOYeTJj4+PoiOjkZM587o3bs3YmJiWPW7Y4u15ZctQ+laIiMkHAThYIhVOMrKldifdBnf/HIO59INv0VrFh6KN0Y9j1cGP41a3qZrM7gaJUSKw16b+o2zsm/jzyOp6s+9ggdmjxfZrCHiu0ehZ1wHdOvcBj61vEg4NBC7cKgQk3jwMdyyrbLBRjSu31Oi0RPs3kKzFQ42ssFHDUZlZSUu/nsVh5PO4dCxM0g6eR73HzxmtW/dJ+qgQ9uaPhdRbSIQFCie+0ssw9SWlJTg7NmzOHXyJE6cPIlTJ0/i1q1b5ncE0CU2FjPefx894+NFIR4q+BIQEg6CcDDEJhx3Corw/e8X8f3/MnHr9j2D2zzTKwZvjHoePbtH6c3CzUfBwmXTKb6CPC4CtsrKSqRdvIyDh1Pw55FUHE++gNJS02/j5HJXdOrQEtez75FwVOMTUA9jdn6jt3xgRCsBUmMeIcWDr3ldpFazIYRkMAyD9MwsHE46i8NJ53Dk+DlWLxxqeXsiun3zmtqLthEIDQ7gNAg2hVjkgQsYhsGNGzdw4sQJnDq8GydTLiLt4mUoTYyA0rFjR7z//vvo88wznHznQgyrq4KEgyCcCLEIR56sBT774mf8+MtfKCvTD3J9anlhxNBnMHbkADQNCwHAbcEj1k7gpuB7Er7i4lIknTqPg4dT8eeRFJz/+4rRbYODg0k4qjEmHGwRSkzsKR583rv27iBuCnOyYU/RYBgGV67drGoidbxKMvLyC8zu5+nhji6dWqF7bDvEdWmL9m0ioFDwP7ezI4mFCjb3fVFxCVLPZag7ox87kWawpql9m2aYPulV9Bsy1WrxEFI2VBiTDscTjiB/pJ/ebnS9I97wBKGLUNIR0Kofftl3FJ998RNOnv7b4DZNw0Iw/vWBGD52Nnx8THcuFHKoWrbYGtQJOdN3/p0C/HX0DA4eScWfh1ORk1vTIZKEowZbhcMU9pARPsWD7/uX77k2LEEMNRtZ2berajCOVQmG5jNrDDc3BTpFtUCPru3QPbYdottFWjxqHVdIMQbj+h5/+KgIm7/+Fas37DQ4vHDrlmGYPvFV9H+2K1zrdrP4+GLty+F0wmEIKT4ABGEOe0qHW2gPfLV1DzZ//Rtu3jKc2fXp0wdvvPEGevXurddsylQGqZsJiq0Zi5SFA6jJ/xiGQUZGhnr0q3PnzpFwVMOncJiC63udD/EQumZDhSVDd1sjHVzJBmCZcOTeuoPDSeeqm0mdxbUs8/0D5HJXdGgXibjYdujRtR06RbWEp6c763MKhdhiMb7z5sdFxfji2z1Ytf4H3M7Tb27cIrIxps+cj0GDBlk0upU9hcO5O41bIRyGENuNTxDWwOeEWsHtBuLchUv47IufsHP3nwb7BtSqVQuvjhiBxMRENGvWDIBlcsE1Ygvg7CEb1uZlkRERJBzVCCUcunB1/3IpHlIUDsAy6eCyczhgWjjy7xTgyPE0HE46i0PHzuLSFfPPoEwmQ/vWzdA9ti3iYtuhS6cnzQ66oUnO2d2im2zQHHzHaPZ8EVRcXIot2/dhxbrvDM55EhEZienvvYcXBw+GXM6u6Rvfs5RbIhqqOTksmYeD/wZ+IoFkg3AUNO9lthmobsGjW+jXf/I5/Pb7Mby+YDKOn7pg8Bjh4eFIHD8er776KmrXrq1eLoUmUmwR04hAhqB8zPFQBQRiq+XjA74Hs1BJhDnxsEczquybeVi3eRcOHkrB3+nXzB4LqGp2ExfbDnFd2yG2U2v41qnFaj9j36ux5WIVEWuEwFieKHQts6enO8aPeh4Jw/ri2+//wCdrt2vN95GRno7Ro0dj8eLFmDZtGoYMHQqFQiFgivnH4Wo4qEAmnBFrM9c79+5jy7Z92LTlF6Pthnv16oU333wTT/fpY1GzKRV81XBwGaBJoYM4F3kb1XDUIJYaDk1svafFeh9bKxqW1nBoYkg67CEajx4XY+WXSVi9ahWKi4tNHqd5RCPEdamqwejapY3ZWawNwafEiVVMpEhZWTm27b2C5R9/jOvXr+utb9y4Md6dNg3Dhg2Dm5t2XxyhOo1THw4NSC4IQh82wUJJSRk++mQL1n/xM0pKy/TWe3t7Y9jw4UhMTETz5s0NHoNtJsi1cIhRNADxywZAwqGJGIVDhS33uNiaBNoSENsiHCpU4mHrSFTmgu/Kykp8t+8a5s2bh9xcwzUs4eHhiOvRA3FxcYjr3h31AwMB2PadCzHJqyZ8SwkX1ycGcVLl4eXl5djx3Xf4+OOPcfnyZb3tQkNDMfXddzFixAi4u7sLOv+GJs4zShUNi0sQFmOsEEs9l45xk5YhPTNLb12TJk2QmJiIV0eMgK+vr8H9uajV0My8+nftbPZ4mnAhHFLraEvCwT0kHIbh6j7mIlDkQjjMYatouPjFIikpCe9Pn47U1FS99YNeeAF9n30WcT16IDg4mFWa+OynR7CDS0kxlH9XVFRg5w8/YOmyZcjMyNBb36BBA0yZOhWtX3gObh4eVp+byxd+hqTD4YSjQYMGyLx0SehkEIQkURVeZWXl+Hj1Nny8ZpvehEU9u0fhjXdm4JlnnjE6coYtHcMt6YwGsJcQawIzsTY7sQTqNG47bGYa53vAA03E0JyKi3uay8CXb+GwRTZc/GJx7do1zJ49Gz/t2qW3vk1MJ7w5fw4i27bWWm7p70TyYV+4rg0xl1crlUrs2rULS5cuxb///KO3vm79AAx9IxH9RwyHhxf7QQNUcJGHOdXEf66urli6bBlGjx6t17aNIAjzXLhwAYmjh+PcBW1xj2obgXXrt6B1mzYG97NWMoxlUKqRLQwR1qGj0XXmBIRtsGZLUCZ0J0RzsJEQEo4a2AiHJVhbsIulxk5ssgHwJxy2isbDhw/xyfLlWLNmDUpLS7XWB4aGYPycmYjr15fVRG/2EBCAJIQN9pYNTSorK7F7924sXbIEFy7oD9ziV68ehrwxFgNHjoCntzfr41qbL7F9SWiJcEhilKrKykpMe/ddrFu7FnPmzsXgwYP1Oq8SBKGPUqnEqpUrsXDhQpSV1fTVkMtdMWPyCEyZ8DIU/oZlw1osrc1ge0xT0rE746LJwE3so0/ZCvVn4wc+azjENByuGGVDjCiVSmzdsgXz581DXl6e1jofHx+88s4EvDjmdZuawPBFcLuBTvEbWQpf/TsszZNlMhkGDRqEgQMHYu/evViyeDHOnj2rXl9w5w42fLgY29eux5DxY/H866/B28wku2JDEjUcum8J2rZtiw8//BDxvXoJlCJCilja+UrqQWpmZiYSRw/DqRTt2cFbNW+CjaveQ5tWTdXLTGWO1tRymJIOQ7Ucpmo3ANtrOKTWZ8MYtooF1XDUIJY+HEI3pbL1PuYqiLVHfw1NTNVyGApCDx87ixkL1iPtonZHXxcXF4xMSMDs2bOR5cl+IjeA/9oNEgzD2KMTua15NcMw+OOPP7Bk8WKcPn1ab72Pbx28OHY0XhydgFp1LB/dTIWtNSAO16RKoVCgoqJCb3nPnj2x4MMP0b59ewFSRdgbsc33IFYhUd49io1f/YI5izajuKSmul8mk2Hym0MwY/IIuLvrN03kWjoA802rbBUNQBjZMASXAsJXjQUJRw1iEQ4V1oqHUM0EbQ1m7S0YhmAjHZev5uCDhZvw2x/H9LaJi4vDkiVL0KZtW/UytuWUJb8biYbt2HOkKi7zb4ZhcOB//8OSJUtw4oR+eert44MXxryOwWNHo7af4YFebMVUGf/DsLGOJRzBwcFYsGABFixYgKws/ZF1Bg8ejDlz5yIsLEyA1BF8IjbJMIfQEpKVlYXxiYk4fPiw1vJmzZph/fK30KlDS719zGWO5n4DrjuMq5CSbBiCbZBgz+ZQJBw1OIpwqLD2XrdXMCsGwdDFlHDUCuuNZau24rMvfkJ5ufYLz7BGDbBo2afo16+fwX4a5vJMoZrBOYuI2Esu7Jl3MwyDQ4cOYfHixTh29Kje+rr16mHVqlV4/vnn7Ro3vRod62DCUT0PR2lpGTZ/8xuWrdqKewUPtLaRy10xesxYTJ8+HQEBAQKllOADqUmHLvYIehmGwddff433p0/Hw4cPtda9+eabmDd/Pry8vCw6JpfzbFgiHVyIBiC8/BlCFSQI1eeChKMGsQgH1zOM20M8LA1chZSNpLRci+bgqFBWYucff2PVtydQ8KBEa7s6tb3x3sThSEwYqK4lZlMzLEReJJamclwh5FwaYusjd+TIESxdsgR//fWX3rqXX34Zyz/5RGtYez5jKIcVDhX3HzzGqvXfY+3GH7WajABALW9PvJP4Et4a9yJ8alkWYAHiu7HsgbmMSejvhK+HxVygzHUgoAmXBVBubi7emjABf/zxh9byhg0b4rP169GjRw+Ljmfp9822DSgb6XBk2RADJBw1cDlKlTXtoPnMXwDrngG+pEMI4dCdaZyNdBw7k4Ulm44iM+ue1jqZzAWjXn0OM6e+Bv+6xputCF1WWosQciKGyfh0kdrvd/z4cSxetAgHDx7UWh4cHIzPPvvMZD9nruIqhxcOFbm37mDJym+xZfs+vXkF/Ov54v1JryJhWF+4uSk4TY/UbkoVUmhjbgyupcOSAEGs4sEwDHbu3IkpkyejoKBAa13C669j0aJFqF27tsF9rfk++ZyxlCvRAEg2TEHCUQPXw+KyQfMZEqNwAOzLCbZBphibUumSc68Mu/5R4K/ka3rrYtuH4v3R3RDRuC4AdoGyVGMEFVwJiBilQhfJ/1YMg+937MDUqVNRWFiotW5cYiI+/PBDeLMYRtfaGMtphENFxuUbWLD0S+zee0RvXVijBpgz/XUMei6O9VC6Ur8BdZHCDMjm4FI4LA2c+QgMbA2K79y5g8mTJ+tNOBUYGIh169bhidhoi49pz0nO2GDp906iYR4SjhrYCoc9ngsxNKtyRtEIjumF/25PxrY951Gh89KySYgvpo/uhh7RjfT6aVgSSEs1nhD7vEO2INXfxBQ5OTl4Y/x4vdqO8PBwbNy0CTExMRYfk03c5XTCoeJUyt+Ys2gzjp08r7eufZtmWLDoU/Ts2ZOPJIoae2Qc9niAuZIOIZs/cBEUr/xhOz55930U3NH+PnoNGoh3PlpgdKQKsQmFLkKM0uNskHDUIJY+HLrYktfwNcyqI0lGq979UF6hxHf7LmDttlO4/1C7WXadWu6YMKwTXun7JBRy48Pc2vL2XioBr6NJB5/fu5D9dVQwDIPNmzdj1syZKCoqUi+XyWSYMmUKZs6aZfPk2bpxmNMKB1D1he8/eApzFm3G3+nX9Nb36tULCxYsQNt27ThOpfihmg7hZgO2JRNSXfOj+/exds4C/PH9Tq31dZ54ApOXLkSP57RHXBGTYIjhDS5BwqGJWIVDhSXPDB9DrIq9j4YpTI0+dfj0dSzZfBRXsrWbobrKXDCsX2tMGNYJvj7sJu7jssmQWCVE6tIh1MtQIcuoy5cvY9zYsTh5UrsGt3Xr1ti0aROebN2as3NZUqbwIhyNGzeGh4cHPDRm29y2bRtattQfkpMNlggHUHWDKZVK7PjuO3z44Ye4ceOG3jZDhgzB7Dlz0KRJE6vSJHW4yESEyiC5qOlgG4zb822jKT779ScsmzIN+Te1O0J2faYPpny8CE/4++vtI5Rw8NU2nSTDdqQsHFyXK2IXDoA/6QCkX7thSioMkXn9LpZ+fgxHU/WH1u/RsRGmj+qGsFA/q9PDlXxwVa4mP7jDWZ4pNekQQx9TocsrpVKJlZ9+ioULF6K8vFy9XKFQYPbs2Zg4aRJcXS2bqNIQohCO3377DU8++SQnx2MrHIZuspKSEmzauBEff/wx7t3THnlCoVBgzJgxeG/6dPgbCNicBUsyE7G8heG7eZU1QbOt7aYNfbePHj3CBx98gM2bNmkt965dG+8snI+nBw8yOA48YPn8GGw6bpuDajLEjdSFg8tyRQrCAfDbl0ns0mGpVAD6gf+de/ex6JMt+OLbPXqDy7SIbIzFcxLRq4fhPm+2DA1rq4DYUtZqlo/OIB1CxyW68YiYyq0L589jzJgxuHDhgtbyzp07Y8PGjQgPD7fp+KIVjl27dmHmzJnw8/ND3759MWfOHDx8+BC1atUyeTxTwsH2RissLMTKTz/FunXrUFxcrLXOx8cHkyZPxltvvcWqN78jIvahcQ0hhvk5+Hqr6OIXi2PHjmF8YiKuXr2qta5Xr15IXPYR/BsYH+bR2sn4bJEOMfVzIQzjiMJhbbkiFeEAnEc6uBAMFUXFJfjv5z9h5X934P6Dx1rrnvCrjdnTEpAwrC/kJvppsIHN92KtfFhb7vIdAAshH2KMQVSIWTgAoLS0FIsXLcKKFStQWVkj3V5eXvho0SKMGTPG6ItLc4hCOHSrvvfv348WLVogKSkJkZGRWLZsGaZXT1LGVjiGjvsUV3SCLwBYsngxej/9NAAgOtrwm4odO3YgPDwcSUlJeOmll3BfZ/gwAAgICMCMmTMRGhKCD2bP1lsf1qQJvv/hBwDAhg0bsEnnrTMA9IqPx9JlywAA0997Dwd0RgwAgLFjxyIxMREAMOSll2y+psuXL2Po0KEGtzl9+jQA4H//9394f8aMmhXKqg5FTRoF4fsvPwQAbPxqNzZ9/av+NcV1wJJ5bwAA3l/8s+iuqVipPQtscONG+GjL5wCAn77cgt1f6QcVHXvEYcKCOQCAdXMWIPnQYb1tBiaMwKDXRwIAZo0cjZxr1wEAnq5yi67pu43TEd4kGJev5uDl0XMNbpN8cHPVNf2VjOnz1uPO3UK9yS29vb2xaPFilJeXY/PmzXrXrXtNB//v//TO0/b5fmg7qD8AYGPiJJTfq2nH7OPlCQCImzAWjTt1AAB8PXK8wfQO+GgOfEMaoDD7Jn6ZtaBqfzd3rW2+OvQ/AMCpPw/hv/M+1DuGsd9J8/uVzPNUjdjziIcPHkhaOLgsV1TCce6nX3HuZ/0guVHHKPR4axwA4NDajbienKq3jebz9MuM+SjUafIIVD1P56ubNGSt/Kzm/NXPG2D4edLlx+NVozCyeZ5St//I/t5TFmltM/a1/hiXUBUgD3l9Nq5er7mmipKqSUWnj+6K7h0aAQCee3ObwfROivdCkK8CuYXlWPLLbYPbrHotBK1698ORlOtY+vkxvfWhgbXx2ZznAABbf0vD9r01b2nlHj5V16RZPs37DP87dBqF9x/h7t37qFAqtY6nUMgR0sAfcrkcrq7ao1YunpOI3k91BAB0jB9jML3ffT5fLy9XfScqfvvvMAAweE1yDx+7lLmqsuHNebPRqWfVPExvxP/H4DXZnO8piyy/pnmf4cDhlJqVrl5mr0kF5eXWX5Ofry/y8vJw+fJlreXe3t4IDAqCQqGw+JosEQ5248Rawc6dO3H27Fn158SJE4iKikJkZCQAYNy4cUb3XbFiBUJCQtSfR0VlnNlt/fr1ERQUhCZhYXoFUl5eHiZPmoR33nkHDx48gAT605tGWQSmIKnq8+jvqoJF9bGW0lxujsMhnq5y9YcvfOVulp/Diu/o0pVsXMvK1ZMNPz8/nDh5EqNHj1a/iTCXFl0B0CXwiar2yj5enlrBjzWYO5clFCsr9GSKIABuy5WyomKj29rCw6Jirc/Ji/+Y3I4tlvTJul7yiPW2qmCPDaognw3NYp8yud6jlo9VNRpyDx+D6aisrETmlWxcuXYTt/Pu6cnGc890xakDm9A8opGebFhDRclDPdlgs4/FlOpLrCmM5Z285amuXnBRPAEXv1jjcZqrF+AeVLONe1DVMtWHsAt+fn5IOn4c46plQcXjx49x9coV3L9/n9e4125Nqnbv3o21a9fi/6rfuhYWFsLPz49dDUdwMDIyM7lOJgDgxIkTmD17No4n6VcRdujQAQs+/NDimZrtiZjaVYqtypOLJld8T56loqysHMtWbcXytdu12hm7uyswb94CvDlhgtEOXuauk+/O49RJXDo4WpMqW8oVLptUGWuiaAlsmzPyMQGmpfmVpX0bNJtZWSMZgOlmSQcPp2Deks9xJk0/ToiJicH8BQvQtRX371et7eNhaRMrS8pWU+UB5amEioMHDmD8+PG4efOm1vLnBw3CypUrUa8eu3vFkjKFv1fCOnTp0gWjR49GRkYGIiIisHnzZnud2iSdO3fG/v37sW/fPsyZMwf//lPzNiolJQX9+vZFfHw85syda7SqS0hUGZEYxIMpSBKVdBjKXNlKiE0zgFv4W1z85yoSJy/DuQuXtJZHtY3AhpXvoUWnV6xOi1RxxIJRdV+I6RmROmItV6xBJS3mxGN3xkVW0mHJKEUufrEW5VuqgJltwG2tZGieyxApZ9Mxb8nn+OvoGb11zVu0wLx589CvXz+T7dNtKTtNpU3zu7HnjNuq31yoeSEon5MG8b164VRyMqa9+y62b6/pI/3zTz8h6dgxrF23Dn379uX0nHbrw7FmzRrk5+djxowZqFu3LgYPHoypU6cKXsOhiVKpxLatW7Fw4ULk5OTore/Xrx9mz57N6RjGfEGduoTBku/94j9XseGr3dj6w36UldUMWyeXu2LG5BGYMuFlKPy7mz2OkDUc1FGcPeZGJLMHUq/h4LJc0ZxpnItnhItaDhVc1nbwNbCFCltGcjKFqSA94/INfLjsS/y854jeupCQEHzwwQd4Zdgwm4b9FMNLPEDc5aql35GYr8WZ2b17N9555x3c1ZlM+LXXXsOSpUtRu3Zto/sK3mmcLS4uLqISDhXFxcXYuGEDli9fjoKCAr31Lw4ejFmzZiEiIsJuabIFR5lpXAqY+67Lyyuw548kbPhqN46eSNNb36p5E2xc9R7atGrK6jtlU2PDl3AIORmiVNG9P+z93EhZONjCtlzRFA5DWPrcsBWOKynJAICwDh3NbiuUeFhTZnAlHqZE42buHSz+9Bt8s+N3vSFun6hbF+9Nm4YxY8dqSSlXCCUgYilb+bp+sVyfFDH0m1j7fd6+fRvvvP029uzRHkCjYcOGWL9hA+Li4gzuR8LBEYWFhVizZg3WrV2LR4+0O+HJZDIMHz4c78+YgUaNGnF2Tr4nkOEy06CMgj23M/bgq2178fk3v+HmLf3fWCaTYfKbQzBj8gh4BD5l9nhsm4aJUTacUTSMweZ55PI5I+GoITg4GFtTjrM6JpvniI1wqGRDEzbiAbCTDyn271BhSjQKCh/i0//uwGef/4SS0jKtdV6eHnhr3It4J/El+DZ62qpzm0IMNR1SKWu5DIAJ+0sewzDY+u23mDZtGh4+1B7gYMKECZg3fz48PbUHmJGMcLBFKOFQkZ+fj09XrMDGjRtRUlKitU6hUCDh9dfx3nvvISjI+LwIhrCmU7MY5IMyEHYwDIPTp09j/WefYdeuXVqzfarw8vTA0Bd64Y1J81jPmCy0bAAkHHxgj8CmeUyCwwsHW1TlChe1hOZkw5Bo6MKleADSkQ9TolFUXIL1X/yMT/+7A4X3tV/6yeWuGDW8H96bOBz1A55QL7elfBKDXJiCyl7Hx573oLH7KSsrC+MTE3H4sPZ0ARGRkdi8eTOioqLU+ear0bEkHHyQm5uLZcuW4asvv9QLHj08PDBu3O0g3eIAACAASURBVDhMmTrVaO9+rieqs6d8UEbHnpKSEvy4cyc2bNiA1FT9sfsBICwsDOPGjcPwV1+Fn58fq+Nacv+IeWQqEg72cF34kHDUoFmu2NIPigvZUMG1dACWPat8yYeueJjrRF1RocTX3/2OJZ9+g9zbd/XWvzSwJz6YloCwxg2MHoNNmSV2wTAGlceOgy33oCGh52oEtMrKSnz22WeYO2eO1ot2masrRkx6G69OfAtyhYKEg2+uX7+OJYsXY+vWrVqzNgJArVq1MOGtt/D222/D19dXax0fM2PzEbwJNdqUUKNqcMWNGzfw+ebN+PKrr/Q6X6no06cPEhMT8XSfPpDJTA/TaO39wrdsANR/Q2ywLbRIOGqwRDgA22o5hKjhAPidoVwFl0E7wzDYvecI5i/7Epeu6N+nTz/VEfNmjEKbVk1ZH1OzLJOqYBiDxEOa2Hofmqs5tEQ6zN1D6enpGDd2LFJSUrSWR7RpjRmrV+CD4ezLFBIOG8jIyMBHH32EH3fu1Fvn5+eHiRMnYvwbb6jbEvMhHIBjBG98913hC4ZhcOjQIWzYsAF7fvtNT0ABoE6dOnj11Vcxdtw4NG1quqC09R6xh2wA3IxOJYXf19Fwhj4cbDFUrnDZXNHWUassEQtdhKiBtDWI+utoKuYu/hyp5zL01kW3b44FM8age2xbm87hqJB4SAcupdfSmkNNLLlnTty7ha2r1+HrT1dDWVEzgaTC3R0B9eqRcNiTC+fP48MPP9Tr3Q8A/v7+ePfddzF6zBh4eHjwJh2ANAM4c9+HWK/p4cOH2L59OzZs2ID0f/81uE3Lli2ROH48hg4dqteBlY/7wF6yAdBwuFKFhKMGY+WKpc8m2+fOmIDYIha6CP1cWhNMnUnLwLwln+PgYf3mpxFNQzF3+ij0/09Xk3NpEFWQeIgfoWvZLL1HNPPDjLTzWPT2ZFzPqMk3g4ODSTiEIDk5GR8uWICDBw/qrWvQoAGGTnwLfV8ZArlCIUDqtOEy0ONTojQRQ3CakZGBTRs3YuvWrXjw4IHeeldXVzzXvz/Gjx+Pbt26aRWSfH1P9hQNFUIHNoR1kHDUoFuuSKV20RBcPY+62Pp8mgquMq9kY+HHX2HXr4f01gUH+WPm1NcwbPDTkMutn0vDGSHpcAy4EBMu7gXdfLGspASfL12OHzZsBsMwDigcQf5IP71db7lYH6wjR45gwfz5OH5cf8jFBo0a4rUpk9D7xedtmpTI2bFnoKpUKvHHH39gw/r1OHDggMFt6tWrh9dHjcLo0aMREhKiXs63jElVNkg0hIGEowZz83BYilSfRTZw+bzm5uZi8byJ2LJ9n95cGn6+Pnj37Vcw9rUB8PR05+yczohY4yOCe+zV71Yznjl3/CSWTpoKmbLSOYSDDUI9dAzD4L+7f8TnS5cjI+283vpGzZri9femoHvfZ812HiZMw1fweu/ePXzz9dfYtGkTrl27ZnCb6OhoJCYm4oUXX4S7e1UBaY8aHym/TSXZEA4SjhqkLhz2kg0Vtj63hYWF+HTFCvz3v/9FcXGx1jovLy+8OWECJk2apDfYii5CN0mREiQdBF8kP7iDokePMO6pPiQcbOHzgUx+cAcMw+DI3t/xxbJPtNq9qWj2ZCu8Pn0qOveKpzaqVsBH8Jp27hw2bNiAHTt26M27AgBubm4YPHgwxiUmIjo6GoBjNZcyBw2JK11IOGrgWjgAcQ9HzRWWPMP5+fk4ceIEjh09iq1bt6KgoEBrvVwuR8Lrr+P96dMRaOE8VipIQAxDskHYA8eb+I9H4dCEzwf0RMFtHPz5F3y1/FPcvHZdb32r6CiMmv4uorp15S0NjgTXgWtZWRl2796NjRs2GGwKB1S1+R4zdixGjhyJgIAAziRDjFJhCBIN6UPCUQMfwqGLtc+2GMTCFIaeZ4ZhcPXqVRxPSsLx48eRdPw4MtLTjR5j8ODBmD1nDsLDwzlLF8lHDSQchD0g4eAAvh7W43dz8cf3O/H1itXIu3lTb337brEY8/40tOwQxcv5pQzXQWt2djYOHjiAgwcP4s+//jI6d0ZcXBwSx49Hv379IJfLJd251BqoCZW0MBV00TwcNdgyLK4tqJ5/sUuFOZRKJTyv5+JYtWAcT0rCrVu3zO7Xq1cvzJ8/H+3at+c9jc4sICQchD1wPOGQyChVlnAsLxu/frsdW1etRYGBQLdz73gMe/tNtIxqD1e5nPf0sAmChS4gbQ1cHz58iCNHjuDgwYM4cOAAMjP0x3tX4eXlhVeGDcO4cePQqpX2dTuLcFDncGHgM0gi4ajBknLFXiPxiZmSomL8e/Ys0k6cwvlTp/F3SiqKHj1itW9oaChiY2Mx4rXX8NRTT/GbUBM4i4CQbBD2goRDQjx+/BjrP/sMyz9dgYeF9/XWe3p7o1WHKLTp3AmtYzqhRft2cPf0sPm8XAa9Yu28WFFRgZSUFBw8eBAHDx5E8qlTqNCYtMYQTZs2xdhx4zB8+HCTnRcdUTq4/B1JNGyHj+CIhKMGPz8/bN22DaGhoQgODlYP+mAOZ5GP+3fv4XzyaVw4lYy0k8nISDuvNemXMVxcXNCyZUvEdu2KLl26oEuXLggNDbVDitnjyOJBskHYExIOCXL//n2sWbMGa9eswSMTb40Ubm6IbNsGbWI6oU3nTmjVsQNq1a5t9viOOGSjblDLMAyuXLmiFozDhw7h/n19idOlXbt2iI+PR++nn0a3bt1YjxrGReDBx+8iZE0UiQb3cBkckXDUoDtIR0BAAEJCQhASGoqQ4OAqEQkJQWhoKEJCQlC/fn2DeYMjCAjDMLh14wbSTiTj/KlkXDiVjOuZl1jt6+bmhg7R0Yjt0gWxsbHoFBMDPz8/nlPMDY4oHiQczoVu/mPvMpiEQ8LcuXMHKz/9FJs3bzYpHipkMhnCW7ZA62oBadO5E/zqad9wQr9N5zMAflBQiAep53HgwAH8efAgrl/X75CvS0hICOLj4xHfqxeeeuop1Ktn3QPKp3AI3XzNGkg2+IWL4IiEowZLRwVUKBRo0KCBWkjUchISgtCQEASHhCBTViGJ0QaVSiWu/vMv0k5WNY+6cCoZd27dZrWvr68vOnfuXFV7ERuLqKgoeHjYXusuBI4kHCQazonQLzxejY4l4ZA6ZWVlSE1NRdKxY0hKSsKRpCQ8NjCztSFCw8PRJqYjWsd0QtsunVA/JAS/ZP7Nc4pNw1UAXV5WhounU3D60BGkHD6K9HNpMHcL16pVC3FxcYjv1Qvx8fFo1qyZzUGBLQ+5o41cQ6JhP2wNkEg4auBDDGrVqlVVKxISolVbEhIaigJfb/gHBZltEltZWYmKsjJUVFSgorwCFRXlUFb/W/X/Co315VBqbFdRXgFlRTnKy8pRUVEBZXm5+jjKinI8fvgI/6SexcXTKaz7X4SEhCA2NhZdYmPRpUsXtGzZUjJzRzmSUBiDRMO5IeHgGGcUDl2USiW+P3UMaSdOIu1kMtJOnEJBfj6rff0bBKFNTCcwTUIQ3LY1nmgUave3cNYGywzD4FpGJlIOHcHpw0dw7vhJlBQVmdxHJpOhY8eO6Bkfj/j4eHTs2BEKhcKq8xvCmgecz1omakLlfFgbSJFw1BAcHIy/Dh1CdnY2bty4gZzqf7NzcpB94ways7ORzzKPtYR69erB29sb5eXlKK8WAtXf5eXlqKysNH8QHmnZsiW6xMaia7VkcNH/whkCfyEg2SAAYaWDhMNB0bypGIZBztVrSDt5qmrUkJOncPN6FqvjeNSpjeDWrRDcphUatHkSAc3CIZO78pVsLdgEx/fy85Fy+ChOHzqC1CNHWVX1BzdpjA5x3RAd1x2j/vOc2dlqrcWSB9uRZx4m0RAWEg7b8W8QhGuXLpvcpqSkBDk5OTVCkp2N7Ozsmr9v3GDV9FWsqPoEto7piBee6oWYmBg88cQTNh+XBINfSDQIXYSSDkuEg//xVglecHFxQUhYE4SENUHfV4YCAPJzb+H8yVNqCbn6r+FJl0ruP8Dlo8dx+WjVBHcKT08EtWqO4LZPIrjNkwhsEQF59YgtlUollOVVVfqV1VX0ynLVv+VVy8qqqvXVy1TrNdZVVq9L0ljW0NsH5WVlqCgrR1n1v7k3buDK3/+YvX4f3zqI6l4lGNE9uiFQ4y1cJirQ0dYvWAe+ROPXYye0/t+/a2fW+xo6L1/SQYJBOCKq59rY/e3h4YHw8HCjk9MxDIP79+8ju1pEsqslJLtaSHKys5GTk4Py8nLersEQMpkMCoUCbm5uUCgUkMvl6v83a9ZM3USqQ4cOnPW/IMngHxINQixY80KVajgkhKUG+6CgEOdPJVdLCPthDWWurpDJ5VCWl4MRuHpfhVyhwJMdO6BDXHdE9+iOZq2fhKur+VoZWwNlPkRDVzJMYY2A0PwZjg/VcNiOoZnGub7vmYIkVFZWIi+/ANk385Gdk4fs3HyUlpZDoXCFQi6HQiGHXO4KNzcFFPKqZXKFvOpvhRwKuRxuddtDoVBUr1NU/W3iY68+FiQZ9oFEgzAHXzUc5uKaH4aNpRoOR8Oam6m2ny+6PvM0uj7zNACguKgIf6ek4oc9e5CTdgG3/k5HRWmp3n6VSiUqlUqb02wrjSMjEB3XHR16dEPbzjHw9Pa2+Bjm3mCy2ZcNfMiGantbaj3YQoJBENrPvKXPhLHgWyaTIbB+XQTWr4vo9s2tTFklgNLqjxHKqz8AGPAXpJJk2BeSDYINHWvX40w6+GoOTsIhEbi4mTy9vJBd3w9dRr0KAFCWl+N2+iXcTLuAnLQLyDn/N8oePeYiuXBVyCGTK+DqpoCrXA6ZourNnEwur16mgEwhh6uiar1r9d8KLy80eLIFGnZoh1r+VQV+Zw7e2FsaSIilr4alsmFp7QaJBuGslFSYbuZk6fj2moGhPYNyewWkJBoEQdgCCYcToRsYuyoUaPBkCzR4sgWih72ESqUSd69eR/6lKwAAmVwOuVu1JCgUcK0Whppl2sur/pZDJpdzOgqWbrptbTJkTj7EIhsEYQgK/LjDkrzFEgHhQz6EfNNN9xxBOAd8xjQkHE4Cm5tI5uoK/6Zh8G8aZocUWQ+XnaM1m1wJPZ61LlS7QRD2RZVPsnmW2DbXZCsfYm06w5Vs5Jzdrf47uN1ATo7pqIj1XiAIWyDhcAIc6S08X6Mw2Us2+nftzKofB8kGYQyhmu44C5Y+S5b0E5NiIOniF8vpfUayoY8U7wtCfIjxxakmJBwOjiPIhlhn2LYWc9JBskGwRRWokHhwgy15TfKDO/RsmYBEowYSDEKsDIxoRZ3GnR0xWysfOJpk6GJMOkg2CGvg+i00YR22jHIlZkhsrYfkgrAnXNRy8CUdJBwSwFlkQ4qSoZlmSx9QW4a7leJ3RRBih4/+YYDjyAeJB3tINAihEKt0kHA4OHxWj9mKWIJmzWDAlofU0PVw9d2L5bsixAkFgNzBpXSocDT5IPEwDokGIQZU+YyYXliTcIgcMd0stiLWoJnPtte612yJgHD9fTlCoEPoQ0Ef9/AhHSqM5elSfD51g2tnvhdJNAgxYkttB9cvrEk4RIwjyQagHWyLTT7s9V2bExC+vhcpBjOEeZw5wHM0TOVBUnl+nVFASDQIsSMW6SDhECmOJhu6iFk+7Anf1y6VQIUgCONItVbEUDDuKBJCokE4A1TD4SDYQyrE2n9DE5IP7hF7IEIQYseSSQCFwpLZz8WC1OeRIdEgpIgY5ugg4bAjQv/YUkC37bQQwiTmAMMcUgg4CO6g4XD5x1geJMZ8wpJJCIVEqvcsyQYhVahJlYMjBsEQ8yhVxhA6vVJ4s6mL2AMMgnA0xCwiYhMPqQqGJiQbBGEbJBw8IAbRIGyHz5FquEIsAQUhHDREqXUUl5bxclx7DQTBBqFmP6d7kSDEg1hiUhIOHhBDWzlNVAWe0DUHUkOsskGSQRjCGUcIsgVPdze7nEdoAbG3dNB9RxDigYtYlKuWMiQcPCE26QBsmxXbmRCLaJBYELYg9c65jooQAiJUTQdBEIQKEg4eEeNMjyqcQT7EIg5soGCA4BNqfy5e7NVnzB7SQWJLEOKBy9iTi1oOEg47YEsmbw9ZkVJg7miQaBAEAfDbZ4yPfIbkgiDEiRhfcgMkHKLHWEEh1huKIAiCEA5b5YJEwjBMQRLVFBKih8/Y0NZaDhIOiUIiQhAEYT0ecoXQSeAESwSDZIIgHBMpTCRNwmECzR9QKk1fNNNJ8iFepHI/EYQjo9uESUr92Ug07AfVbBBihs9Yj8s8kYRDA1M/mql1FDwS5qB7hCDEj1CDaVjad4PyE/tAokGIFb5fKPOR/5FwVGPLjye2WV1ViHFoXmdCbPcDQRDssVftB8mGuCDJIMSMFEVDBQlHNbYE52IuAAyljSTEdsT8mxMEwT2WiAGbQtueowO6+MVSsyoDkFwQUkPKL5JJODRgO2+G1INNc+mX6s1sC1L/TQmCEA9iHN6WpIMEgyCEhITDALodr50tGGV7vVIRE2f7/QiCcDy4yMdUAbcziQdJBkGIAxIOM1Cwahyx1JTQb0QQhCPDdR7nLOJBskE4Inw2lVfVzlKncUJScCkkJBUEQXBJScX/s3ffcVXVjx/HXxcuiICIMlygqKlpmjhyYtpSK8vMrbkaavPbUr+/9v6mpaVZ2XBWmuYsM0eO3FvcuZWhDJEhMi/3/P64aRFDFC5c8P18PHgA955zz+fq5XzO+3xWZrZKtTjHVFwLe577/nlBXtbCh8KG3EiKekkEewQPBQ4pMQoRIuIoLlesjhQ8ivMcWZbGeChsyI2sKMNHUQYPBQ4REbnhuJldHCpc/JtuyIhIYRVV+CiK4KHAISIiImWmlcOI36xWDpF/KYrwUZjFURU4REREHEhJtm4U5EK9JEOJgoRI4RV0GYj8dK9/Cz9dw/YKHCIiIiWsNHWhup6LfrU6iDieoggeBaXAISIiNxxXk1Opusgv7RQ2RBxXcaxgrsAhIiIiIlJK/LtbY1EEenuHDie7vbKIiIiIiBSZ3MZQFdW4Knu2+ipwiIiIiIiI3UKHAoeIiNx4rBklXQIRkWtWWsdDaQyHiIjckP7ZDaG0VuIicuO5fL66fA4r6vOXPWavUguHiIjc8Iz4zWVi0TsRuXGYKrWz682SouxepRYOERGRv6jVQ0Tkb0XV2qHAISIikguFDxERm8IGDwUOERGRq1D4EBG5/uChwCEiInINFD5E5EZ3reM7NGhcRETkOmmwuYjI1amFQ0REpJDU6iEikje1cIiIiBQhtXiIiGSnwCEiIlKE1MIhIpKdAoeIiIiIiBTYtc5SpcAhIiIiIiIFdq2zVGnQuIiISBEy4jerW5WI2EVeY8Qc/ZyjwCEiInKdHL2SF5HSraCTUFzezlHPSQocIiIi/+Kolfb1yK2v9bV2hxCR0sFRg4cCh4iI3HicXB2uQi6saxnEmde2CiIijsVUqd11TbXtaF07NWhcRESklLvWGWNERIqTAoeIiEgpp5YJEfknR2rdAAUOERGRMqGwoUOhRcTxXE93KkcLG1CIwNG5c2duvfVWgoOD6dChA6GhoQAcO3aMdu3aUb9+fVq1asWhQ4eu7LNw4UJatGhBcHAwDRs25K677sJqtRb+XYiISKmneqXwrjc0KGyIOCZHDA/X47oHjc+bNw9vb28AFi9ezKOPPsru3bsZMWIEw4cPZ+jQocyfP5/HHnuMLVu2EBUVxciRI9mxYwe1atUCYPfu3ZhMpqJ5JyIiUqqpXikal8NDQcZ1KGiIOL5rHTjuaAPGoRCB43KlAJCYmIiTkxMxMTHs3r2blStXAtCzZ0+eeeYZTp8+TXx8PGazGR8fnyv7NW/evBBFFxGRskT1StG6WvBQ2BApPf4dIHILII4WMv6pUNPiDh48mLVr1wKwfPlywsPDqV69Omaz7WVNJhM1a9YkLCyMkJAQ2rZtS82aNenYsSPt2rVjwIAB1KhRo/DvQkREygTVK0VPwUKk7HHkcJGbQg0anzVrFuHh4bz33nuMGjUKIEdTtmEYtgM5ObFgwQI2b95M165d2bRpE7fccgvHjx/P8boTJkwgICDgyldycnJhiikiIqWE6hURkbLHZFw+cxdS+fLlOX36NPXr1ycuLg6z2YxhGFSrVo2tW7cSFBSUY5+uXbvSuXNnXnzxxXxfu0aNGhw9dqwoiikicsNqUL8+ERERJV2MAlO9IiLiuK6lTrmuFo6kpCTOnj175fdFixbh4+ODv78/zZo14/vvvwdgwYIFBAUFERQURGRkJJs2bbqyT3x8PKdOnaJu3brXUwQRESlDVK+IiJRd1zWGIzExkZ49e5KamoqTkxN+fn4sXboUk8nEV199xdChQ/nggw/w8vJi5syZAFgsFt555x1OnTqFu7s7FouFIUOG0L179yJ9QyIiUvqoXhGR61GQ2dhAY5lKWpF1qbInNX2LiBReaetSZU+qV0TKjquFDoUN+7iWOqVQs1SJiIhI3vKbO7+0zTIj4qj+OQW0woVjUuAQERG5TteyGNfV9lUAESkchQ3HpcAhIiJSQIUJGNfy2gofIlKWFGodDhERESl6Rvxmu4YbEZHipMAhIiLioBQ6RKQsUOAQERFxYAodIlLaaQyHiIiIgzPiN2tchxSYZmsqHv+ejlf/5nlTC4eIiEgBlHRLQ0kfX0TkeilwiIiI5OHy4G1Hudh3pLJci4KuBi1Smvy7RUOf87wpcIiIiPyDo4WM3Dhy2f7t8kWYLsaKj7r2iKPRGA4REZFSqLSM69DFr5Rl+nwXjFo4RERESqHSEDZEREAtHCIiIlc4clclBQwRKa1MhmEYJV2IqzGbzVStWrVEjp2cnIynp6eOXcaPq2Pr//pGOHZUVBQWi6VEju1oVK/cGMfVsfV/rWPbz7XUKaWihaNq1apERESUyLEDAgJ07BvguDq2/q9vlGOLjeqVG+O4Orb+r3Vs+x63oDSGQ0RERERE7EaBQ0RERERE7Mb5rbfeequkC1EQbdu21bFvkGPfiO/5Rj32jfieb+RjO5ob9f9Bf+86dlk9ro7tuMctFYPGRURERESkdFKXKhERERERsRsFDhERERERsRuHCRxBQUEcOHCgpItxw7h48SKenp48/vjjJV2UG05BPutDhw5l8uTJxVSisicjI4MxY8Zw00030bBhQxo3bsz06dPz3SchIYFx48YVUwmlOKheKV6qV0qG6pTioXqlcBwmcEjx+vHHH2nevDkLFiwgOTn5mvfPysqyQ6lEisbQoUM5fvw4e/fu5fDhwyxdupRx48bx9ddf57mPKgaRwlG9ImWZ6pXCcbjAMWHCBG677TaaNWtGq1at2LZt25XnTCYTY8eOpXXr1tSuXfuqyVLyNnXqVMaMGUOHDh2YN28eADNmzOCee+6hZ8+eBAcH07FjR8LCwq4817VrVwYPHkzLli3Zvn17SRa/TOjUqRNLly698nuvXr2YMWNGyRWojDh+/DiLFy/m66+/xsPDA7DdARw/fjzvvvsuANOnTyc4OJimTZvSsmVLTp8+zciRI0lISCA4OJiWLVuW5FuQIqZ6pXioXilZqlPsR/VK4TncSuODBg3ixRdfBGDr1q089thj2ZoK3dzc2LZtG4cPH6ZVq1YMGjQIs9nh3oZDO3jwIOHh4XTt2hWLxcK4ceN49NFHAdi4cSOhoaE0aNCAcePGMXLkSJYtW3bluT179lCvXr2SLL5Ivnbv3k29evXw8fHJ9njbtm2JiIjgp59+4v3332fDhg1Uq1aNlJQUAKZMmULLli0JDQ0tiWKLHalesT/VK1KWqV4pPIdr4dizZw8dO3akcePGjBw5kkOHDpGRkXHl+YEDBwLQsGFDzGYzUVFRJVXUUmvq1KkMHjwYZ2dn7r//fk6ePMnhw4cBCAkJoUGDBgAMHz6ctWvXcnnm5JCQEFUKUiqYTKY8n1u2bBmDBw+mWrVqALi7u+Pu7l5cRZMSoHrF/lSvSFmneqVwHOoWjtVqpWfPnqxbt44WLVqQlJRExYoVycjIwNXVFbDdibrM2dkZi8VSUsUtlTIzM/n+++9xcXFhzpw5AKSkpDBt2jRuueWWfPf19PQsjiLeMMxmc7Y+y2lpaSVYmrKjWbNmHD16lLi4uGx3o7Zs2UJAQAC+vr4lWDopbqpX7E/1imNQnWI/qlcKz+FaODIzMwkMDATgs88+K+HSlD1LliyhTp06REZGcvr0aU6fPs2mTZuYNWsWmZmZbNq0iaNHjwLw7bffcuedd+ab6uX61a1b90pf8lOnTrFx48YSLlHZUK9ePR544AGGDx9+pVn79OnTvPTSS7z66qs88MADzJo168pd7JSUFFJSUvDy8iIlJUUXm2WQ6hX7Ur3iGFSn2I/qlcJzmBYOi8WCu7s777zzDq1ataJmzZo8+OCDJV2sMmfq1KlXug9c1rhxY6pXr87Fixfp2LEjb731FocOHaJixYrMmjWrhEpadlksFtzc3BgzZgx9+/ZlxYoVNGjQgNatW5d00cqMWbNm8dprr9GkSRNcXV1xdnbmpZdeujJd52uvvUbnzp0xmUy4uroyf/58atWqxcCBA2nSpAkeHh7s3LmzhN+FFJbqleKheqVkqU4pHqpXCsdkXO5IWYLOnTvHzTffTFRUFOXLly/p4tywZsyYwdKlS5k/f35JF6XM0mddpHjob80xqF6xL33OpbQo8S5VEyZMoFOnTnz88cf6Y5EyTZ91keKhvzW5EehzLqWJQ7RwiIiIiIhI2VTiLRwiIiIiIlJ2KXCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdKHCI3snYIQAAIABJREFUiIiIiIjdKHCIiIiIiIjdKHCIiIiIiIjdmIv7gJ07dyYqKgonJycqVKjAZ599RnBwcHEXQ0REygjVKyIijs1kGIZRnAdMSEjA29sbgMWLF/POO++we/fu4iyCiIiUIapXREQcW7F3qbpcKQAkJibi5KReXSIicv1Ur4iIOLZi71IFMHjwYNauXQvA8uXLS6IIIiJShqheERFxXMXepeqfZs6cydy5c1m2bFm2xydMmMCECROu/J6RkUFMTExxF09EREoZ1SsiIo6nRAMHQPny5YmIiMDHxyfPbQICAoiIiCjGUomISGmlekVExLEUa0fXpKQkzp49e+X3RYsW4ePjQ+XKlYuzGCIiUkaoXhERcXzFOoYjMTGRnj17kpqaipOTE35+fixduhSTyVScxRARkTJC9YqIiOMr8S5VBVHYpm+LxUL9+vV59913GThwYBGWTERESqPC1Ctubm7897//5a233mLQoEG4ubnxzTffFHEJRUTKjhti7kCz2cyYMWN44403yMzMLOniiIhIGfHKK68wc+ZMjhw5UtJFERFxWDdE4AAYOHAg586d4+effy7pooiISBnRsGFDWrduzeTJk0u6KCIiDqtMBY4dO3Zw//334+3tjYeHB8HBwcyZMwcAT09P7rvvPqZPn17CpRQRkdJixowZ1K1bl/Lly9O+fXtCQ0NzbNO3b19++OEHMjIySqCEIiKOr8wEji1bttChQwcuXLjAlClTWLJkCYMHD+bMmTNXtmnfvj3r1q3DYrGUYElFRKQ0+O233xg2bBitW7dm0aJF9O7dm549e5KVlZVtu/bt2xMfH8+uXbtKqKQiIo6tRFYat4dRo0YRFBTE+vXrcXFxAeDuu+/Otk1wcDCXLl3iwIEDBAcHl0QxRUSklHjnnXdo1aoVs2fPBqBr1664urry9NNPZ9uuSZMmODk5sW3bNtq2bVsSRRURcWhlooUjJSWFLVu2MGjQoCthIze+vr4AREVFFVfRRESkFMrKymLnzp306tUr2+P//h1sE5N4e3urbhERyUOZCBzx8fFYrVZq1KiR73Zubm4ApKamFkexRESklIqNjcViseDv75/tcT8/P5yccladbm5uqltERPJQJgJHpUqVcHJyIjIyMt/t4uPjAfDx8SmOYomISCnl5+eH2WwmJiYm2+OxsbFYrdYc28fHx6tuERHJQ5kIHO7u7rRr145Zs2blu87GqVOnAGjQoEFxFU1EREohZ2dnWrRowfz587M9/u/fAaKjo0lNTVXdIiKShzIzaHzs2LHccccddOzYkeeeew5/f38OHDhAamoqY8aMAWzT5tarV48qVaqUcGlFRMTRvf7663Tr1o0BAwYwePBgjhw5wsSJEzGbs1edO3bsACAkJKQkiiki4vDKRAsHQLt27Vi/fj2enp488cQTPPjgg0yfPp2goKAr2/z666/06dOn5AopIiKlxv3338/UqVPZsmULDz30EHPmzGHBggU4Oztn227p0qW0b9/+quMIRURuVCbDMIySLsTVBAQEEBERUajX2L17N61ateLo0aPUqVOniEomIiKlUVHUKwAZGRnUqFGDjz/+mCFDhhRByUREyp4y08JxNePHj2fQoEEKGyIiUmRmzpxJpUqVGDhwYEkXRUTEYZWZMRz5sVgsNGzYkKFDh5Z0UUREpAxxcXFh2rRpOcZ1iIjI326YLlUiIiKXqV4RESk+N0yXKhERERERKX4KHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjcKHCIiIiIiYjfFGjjS0tJ46KGHqF+/PsHBwXTt2pXTp08XZxFERKQMUb0iIuL4ir2FY/jw4Rw5coTQ0FC6devG8OHDi7sIIiJShqheERFxbMUaONzc3LjvvvswmUwAtGnThpMnTxZnEUREpAxRvSIi4vhKdAzHpEmTeOCBB0qyCCIiUoaoXhERcTwlFjg++OADjh07xvvvv5/juQkTJhAQEHDlKzk5uQRKKCIipYnqFRERx2QyDMMo7oN+/PHH/Pjjj/z+++94e3tfdfuAgAAiIiKKoWQiIlIaqV4REXFc5uI+4IQJE5gzZ06BKwUREZH8qF4REXFsxdrCERERQWBgIHXq1KFChQoAlCtXjm3btuW7n+5EiYhIblSviIg4vmJt4QgICKAEenCJiEgZpXpFRMTxaaVxERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERERERGxGwUOERGRYnI0NoOYZEtJF0NEpFgpcIiIiNhZZpbB6ysu0PDjcFp9FkncpaySLpKISLFR4BAREbGjQ9EZtJkcwXur46npbeZMvIX+s6PJsholXTQRkWKhwCEiImIHVqvBxI0JNJ8YQejZDF6905sjo2ryeKsKrDqWyhsrL5R0EUVEioW5oBumpqZy7tw5ypcvT7Vq1exZJhERkVItPMHCsHkxrD6eSl0fM7P6VqFdkBsAn3X3Ze+5DD5Yk8BtAW481NijhEsrImJf+bZwWK1WZs6cSUhICL6+vnTo0IHGjRtTtWpVnnzySY4ePVpc5RQREXF4hmEwe89FmkwIZ/XxVIa39iL0+cArYQPAzcWJBYOq4uvhxOC50RyJySjBEouI2F++gaNdu3bs2bOH8ePHk5iYSGRkJHFxcezbt4+2bdvy+OOP8+OPPxZXWUVERBzWhZQs+v0QzcA5MbiZTSwdVpWvevrhWS5nVRvobWbuwCpcyjB4+LsoktOtJVBiEZHiYTIMI89Ra9HR0VSpUiXfF4iJicHf37/IC/ZPAQEBRERE2PUYIiJy4yjqemXFkRQe/SmGs0lZ9GjswVcP++Hn6XzV/T5aF8/oZRfofasHcwdWwWQyFVmZRG4kKRlWUjMNfDyu/ncnxS/fFo7LYWPatGk5nrv8mL3DhoiIiKNKybDyzOJYuk49x8V0KzP6+LFgUJUChQ2Alzt606uJBz/tu8T49Yl2Lq1I2bTqaAr1PwrjpnFhHIpWF0VHVKBZqiZPnlygx0RERG4U28PSaPZpBJ9vTqJjHTf2vRDIkJZe19RKYTKZmNbbn4b+LoxZFsea4yl2LLFI2ZKSYeW5Jefp/O05ElOtJKdbuW/aOaIuanFNR5PvLFU7d+5k27ZtnD9/ni+++OLK44mJiWRkKEGKiMiNJzPL4P3V8by3Jh5nE3x8vw8vdKiIk9P1dYeq4ObEosFVue2zCPr+EM3u/wQS6F3gSSRFbkg7w9N45McYjsRmEhLkxqx+/vxxMpVh82J5YHoU60ZWx8NVqz84inzPaJGRkezcuZNLly6xY8eOK497eXkxY8YMe5dNRETEoRyJyWDQ3Bh2hKfTtJor3/Xzp0m1coV+3Qb+rszs68/Ds6Lp9V0U65+sQTmzxnOI/Jsly+CDNfG8uzoekwnG3leZl273xtnJRO3KLpyMs/Du6ngGzolmwaCqOF/njQApWvkOGr/st99+49577y2O8uRKg8ZFRKQoXWu9YhgGn29OYvSyONIsBqM7evN258pFHgpe+S2O/61NYHhrL77q6Vekry1S2h2NzWDw3Bi2haXTpKot8Detnj3wG4bBoB9j+GFPMv8JqcinD/qWUGnlnwrUZnvvvfeye/duQkNDSUtLu/L4U089ZbeCiYiIOILIRAuP/hTDyqOpBFUyM6ufPx1ql7fLsd7tUpmdEel8vS2JVoHleKyVl12OI1KaGIbBlK1JvLw0jlSLwaiO3rzbJffAbzKZmNrbn/AECxM3JlKnspnnQrxLoNTyTwVq4Rg7dixz584lLCyMjh07smrVKu666y4WLVpUHGVUC4eIiBSpgtYrc0OTeXJRLPGpVh67rQKfPOBLBTf79gs/fymLFhMjiE7OYuOT1WkZ6Hb1nUTKqLOJFh6bH8PyI6nUqmRmZh9/OtbNGfgNw8CSZcXFbJsh7kJKFu0+j+To+UwWD67Kg7d4FHfR5R8KdNb87rvv2Lx5MwEBASxYsIAdO3bg6upq77KJiIiUiPiULAbOjqbf7GjMTrBkSFW+7e1v97AB4OvhzMLBVQF4+LtoYpOz7H5MEUf0075kmnwSzvIjqQxtWYF9LwTmGjbCohJpPeRbGvSczPkE20xvld2dWfZoNXzdneg/O5qd4Wk59pPiU6Azp5ubG25ublitVgzDoEGDBpw+ffq6Dvjcc88RFBSEyWTiwIED1/UaIiIilxV1vfL7sRSafBLO7NBkHmzkzoGXAov97miLgHJ82cOX8AQL/WdHY8m6amcEkTIjITWLQT9G0+f7aJxMsHBwFab38ccrl8C/fvcZWg76mh2HznIqMoHH3vmZy5136vi48PPQalgN6DY9ijPxmcX9VuQvBQoc7u7uZGZmEhwczJgxY5g0aRIpKdc3V3ivXr3YuHEjtWrVuq79RURE/qmo6pXUTCv/WXKee76xzek/tbcfi4dUxd+zZKaoHXabFyPbeLH6eCqvrbhQImUQKW5rjqdw6ycRfL87mW4N3dn/YiA9Gnvm2M4wDL6cv4O7npxFarqFhR/1YUDXJvy8/ghTFuy8sl2bWm5839+fmEtZ3D/tHAmpajEsCQUKHF988QUZGRmMHz+e+Ph41q9fz3fffXddB7z99tsJCAi4rn1FRET+rSjqlV0R6TSfGMGkTYmEBLmx94VAHr3t2hbxs4dPH/Sldc1yjF2XwIL9ySVaFhF7Ssu08uIv57nr63NcSMni655+/Dy0KlUr5Az86RkWRnywlKc+XEatahXZOv0xetzRkC/+ex+1a3jz4icrOXA85sr2PZt48tF9PhyMzqTXd9FkWNRiWNwKFDgaN26Mh4cHfn5+fPPNN8yfP5/g4GC7FWrChAkEBARc+UpO1klWRESuX171iiXL4L3V8bSZHMGJuEw+vLcy60ZWp46PSwmX2Kac2cT8R6ri7+nM0LkxHI7WortS9uyJTKfFpAg+2ZBI21rl2PtCIE+0zj3wR51P5s6Rs/hm0W46t6nL9plPcEtdfwAqerox+72eZFqy6P/qAlLT/u5C9eLtFXmyra3FcOTCWAowZ5IUoXxnqRo9enS+O48bN+66DxwUFMTSpUtp3LjxVbfVLFUiInI111qvrN1zksFzY9galk7jqq58n8uc/o5i3YlU7v7mLPV8Xdj2TECufdlFShtLlsG4PxJ4c6Wty+DbnSszuqM3ZufcWxZ3HIykx6i5RMZc5OVBbfnf03djNuf8W3h/6npe+3Itz/S5jc9G35fteN1nRrHszxTe7VKZ1+6qZJ83Jjnke8by8PDI90tERKQ0upRhEPxpBNvC03n59orseLaGw4YNgE51yzPuPh/+jMlk2LwY3Z2VUu9EXCa3T4nk1eUXqO/nwvZnA3jlzkp5ho1ZS/fS4YnpxCWm8v27PfjoP51zDRsA/x0aQsfmtZg8bwe/rD9y5XGzs4m5A6sQXN2V11dc4IfdF+3y3iSnfEfCvfnmm8VVjpJhtUDqWbgUDinhf32PgEthf30Ph3KVocEzUHcImBWyRETKgoTULGp6ODOrb+5z+juiFzpUZHt4OnP3JjNuXQJj7tDdWSl9DMPg2+0XeeGX81zKMHihQ0U+6FoZN5fcw4PFYmXUxJV8OmcbAVW8WPxxX1o0rJ7vMZydnfjunR40HTCFYW8vYd+PT1LdrwIAnuWcWDqsGm0mR/DoTzEEepu5vU7pOAf827nQ2Xjte4YU17p43fo45W7qC66OuchhgRb+K0pPP/00S5YsISoqCl9fXzw9PTl+/Hi++1xXlyrDgPS4XIJEOFyKsH1PPQuGNee+Ti7gHmD7SjwM6eehnA/UfxLqPwVuvtdWFhERsZvrqVc8fKpzNiKciuWdi6mURSM53UqbyREcjslkxePVuLuee0kXSaTAoi5aeGJ+LEsPpxDobWZGHz/uvCnvz3BcQgp9X5nP6u2nCAmuyfyxvanik3PGqrwsXHOYnqPncVer2qycPAgnp79bT/adSyfki0jMTia2PF2DBv6la325qP2LqBz6CADOpiycTVasuGCq0QVTUD8I6AZmxzk/FHvguB65Bg5LSt6tEpd/zkrN/QXdqoBHoC1QeNT863sguNcEjwDb8yanv49zchYc/gSST4Fzeag7DBo+D55Bdn3fIiJiH6V5bOCx2AxafhaJixPs+k8AtSo5xgB3kfwsOpDM8AWxnL9k5ZHmnnzW3RfvfAL//uPRdH/pR05FJvBkr5Z8+lJXXF2u/QbBiPd/4etFuxn77N2MHtI+23MrjqRw//Rz1PI2s/WZAPw8S8cNiNg/l1NhR29MGCQ0n018lj/hmydR13knQeXP4GQybL1yanSDoL5QrTM4l2ygKh2Bo6o3Eb8MhZSwv1sn0uNy39jsmT08uAf+9Xvg3yHD+Tr66VotELYQDo+HC3vA5Aw1e0GjF6Fys0K9PxGRoma1GsRcyiIs3sKJ2FTWhx7ny8duK+liOYzSHDgAfj54ie4zo2hRoxwbn6qeZ3cURxCXkML6PWfo3vHmbHeY5caQlGblPz+fZ8bOi1R2d+Krh/3odWv+rRQLVh9iyFuLycjMYvLo+xj+cIurHudY6mm2XgzN8XimJYuPv99MbHwKL/RvQ2DVitme33Imjbl7kwmqZObpdhVxyWMMSd4M4kjG2dmMj2slfF0rU9nFGxcn+9wIyIrYTaP1j+FsZHKg1ae41OtCParhlAlbtmxhz+bfqO+2n5Z+J/Hjr5Ze10oQ2AOC+oB/R3AqfLBKTorE06tGgbcvUODIbZE/d/fia6YJqGwi4jMXMJn/0RoR8K8g8dd3l4pgz3nTDQOi18LBjyHqd9tj1e6BRi9BlTvse2wRkb8kpVkJT7AQlpBJeEIWYQmZhCVY/nrMQkSihYx/rW9ljKtbMoV1QKU9cAC8vuIC762O59HbKvBtL78SXzMkN6FHonjo5R85cy6Rz8fcx1O9FXpvJH+cSGXIvBjOxFvo2qA803r7U80r7+HDVqvBm1+t5b2pG6ji48H8sX0ICa551eMsjlvF2+GTyDQsRVn8QilvdsfT1RNPlwpUcK1w5WdPV088XSvgbna/5r9Z78QIeqx6lXKZl/i146uEV7fd8K5GJR6kFWacSUpKYvXq1ezbt49Krkl0vTmJm1x245S43/YiblWhVi9by4dPq+u6bj2yfy5rfnmSJ18p+IKkBQocTk5OOf5RXFxcaNWqFd988w0NGjS45sJei4Dq/kQcD7V1dSqCVFZkLuyBQxMg7CfbWJDKzW3BI7AHOJXMyrQiUvplWAwik/4OD/8MEpe/J6blMv4M8C7vRE1vM76umVjiw3BJPY9/eQt33taIx7vcWszvxHGVhcCRZTW4f9o5VhxN5auH/Rjexquki5TN3JUHGPb2EixZVrw8ymEAxxY+S+WKpXOArhRcusXgteVxjN+QSHmzifHdfBjRJv+FNJOS03nk9YX8suEoLRtVZ9FHfQmokv9n2mJk8XHkN3wfu4SqLn68FvgUXs4Vct32p98PMnHOdu5tfxOvPtoh23OGYfDWqgRWH09hQLMKPNU2/+OmkcEBwggjFhMm6lCFChZXYjPjiM2IIyYjjpi/fo7LjMdKzktts8kZX5fK+Lv64vfXd39XH/xcfPB3tX15OP99cz/13AH81/SkvHGR47eMw6uZbfzGMc6xnzPcRDU6E4wJ279xeHg4y5cv5+zZs7i7u3Nf+zo08tiP6cw8uPhXy4dHENTqbQsf3k2uGj7SUuNZu/QZjuybTXkPP0b8Nybf7f+pQIHj/fffx9PTk2HDhmEYBjNnziQlJYWqVasyY8YM1q1bV+ADXg+HrxiST8HhiXBium3ciGcd2xiPOkPArBOriPzNMAxi/+rqFJZgITzRQlj8X98TbD9HJWeR25nZ1RkCvc3U9DZT09vlys9Xvlc0k5WWxO+//87BgwdxdnamTZs2dOjQAYvVhEf50jUo0p4cvl4poAspWbScFEFkooX1T9agdU23ki4SWVlWXvtyDR/O2ERVH08WftSHk5HxPPL6Ip7t24pJo+4t6SKKHe07l84jc2LYH5VBq8ByfNfPn/p++Z97jp6Jo/tLP/Ln6fMMuu9WvnqlG+Xd8u+SFG9J5OVT/2Nb8l5aeDRmQu1X8XHJe4YmwzC4/z+z+W3zcWa/9zD9uzbJ9nxappW7vj7H5jNpfNnDl5FtK+Z4DQtZ7OUUOzmBhSwC8SWEhlQm95ADtlAUmxnHuYwYojLOcy4zhnMZsURlxHIu0/Y9MSv36Xk9ndyp5upPvUwnXj4wG18jhd8Dn6BSs+FUcfFl05I/WLJoCe7N/Wn4RHtCKgXTlr8bAQzDYO/evaxevZrk5GSqVKlC1y5dCPKKhzNz4cxPtjHPABUbQq2+tm5XFW7KUZawE7+zcuFQkpMiqXPzg9zd/RvcPf3zfN//VqDA0aJFC3bt2pXtsZCQEDZu3EiTJk3Yv39/gQ94PUpNxZB2Ho5+AUe/tI0xKecHDZ6C+iNts1yJyA3r7KV0unx3iqNhZjIsOe8imUxQ1dOZmpVswaGmtznbz4HeZvw8nPPsA5+RkcGmTZvYvHkzFouFBg0a0LlzZ7y8vJmyYCdvfr2OuNX5L+Z6Iyk19UoB7IlMp93nkfh4OLH7PwH4e5ZcC3vCxTQGvLqA3zYfp9UtNVj4UR9q+HthGAbtH5vG9oOR7JvzJI3q+JVYGcu6nYcOYNo2gq8ShrA8tUuxH/9ckgUDePPuSvzfHXmvq3HZso3HGPDaAi6mZPDxf+7h+QFtrtrV6EjqKZ47+TaRGdH08+3GmBrDCzRmIubCJW7t/yWpaRZCZ4+gdo3sU0ufv5RF28mRnLyQyS9Dq3JfQ9tyCAYGp4hmE4dJIpWKuBNCQ2rhf6VFoTBSslKvhI9zGbFEXfk5htTk0/zv2G/UykzlleqN+Nm7GqmHE4n66E9SQuOvvIabZ3naDe/KKy+M4a6A1tlePz09nQ0bNrB161aysrJo1KgR99xzD94VvSB2M5yeC2ELbLOyAlRuYWv1qNUbi0tlNq78L6FbJ+Hi6kmn+ybSqPmwa+4OVqDA0bBhQ3799Vfq1KkDwMmTJ7n//vs5fPgwzZo1Y8+ePdd00GtV6ioGyyU4MRMOfwqXToOzO9z0GNz8HHjWKunSiUgxS8u0cts3xzlw2pkG9S5R38eV1t7+1PJ2sQWKSmZqeJlxNV97xWUYBgcOHOD3338nKSkJPz8/unTpQt26dfl920meH7+cgydjqeFfgYhlL9rh3ZVOpa5euYrvdl1k8NwYOtVxY9UT1a96kWcPh0/F8tBLczkaFseQbk2Z8n/dcCv3d/jZcTCSVkO+5Z7WdVgx+RGHHHNS2k3dfJbWh++hsdsxMgxXnrn4HXstxTtuxru8E+93qUzLwPxb2wzDYOzMTbzy+Wq8K7gx73+9ubt1nau+/or4DbwWNp5MI4vXAp6il++1tZit2HKcrs/+QNtbA1j/9bAciwcei82g7eeRpFsMNjxVg8Dq6WzgMJHE4YKZ27iJW6mFM/bv4n/pwhnSl3agsnMUf1b5D9F1H+ad1z5gzZxfybUZHHAyO/PwwF68Nep1brnllmzPXbhwgVWrVvHnn39iNptp164d7du3x9XVFayZELXW1vIRvgQykzAwEZ1ZjoNxl7hY8TbueHg2FStf/f8oNwUKHAsWLGDEiBG0aNECk8nErl27mDJlCl26dGHSpEm88sor13Xwgiq1FYPVAmHz4dB4iN9rm9mqVh/bOI9K6kstciOwWg0emhPOL3szefD2FB7rlko456lLVe6haaEqrbNnz7J8+XLCw8Nxc3PjjjvuoGXLlpw6m8BLn6xkyR9HcCtn5uVHWtOujsG9Xe4pwndWupXaeiUfzyyO5fPNSbx0e0U+7la860X9sv4IA19fSEpaJuOf78xz/VrnGiiGvrWYmUv38vOEfjxwu33Hf95IMiwGzy2OpWPUcPpXWsaF6kOpHDMfnFyhy3rwql/SRczmUmoGj73zM3NXHaRxXX8Wj+9L3YDK+e5jNax8dm4W30TPxcdciU9qv0pzz1vy3ScvL32yggk/bOX1x2/nnZF35Hh+46lU7vr6LF4eBs8/cxJvbwsNCaANDXDnOmY6vQ6piWe5tKQ9vs6RHPV6km93VePTcR+QmZq9+1V5T3dSk3NO7gTQrVs3Ro8eTUhISLa/x5MnT7J8+XJiY2OpUKEC99xzD40bN76yjTUjmeOrR2A6M4/aHibMTmCYzJiq3W0b8xHYHVyubcxYgafFjY2NZevWrRiGQZs2bfD3L3i/rcIq9RWDYdhmtDo0HqLW2B6r1gVueRn8b9fMViJl2JjfYhm3NolmTZJZPfAmvJzcWMVeThBFIL50pTmuXFsXmOTkZFavXk1oaCgmk4mWLVvSqVMnsgxn3p+2gU9mbyUjw8JdjctRq1w4vy1dzLlz5ygFs6AXmxKpVwwrJ0JX4FqxJoF1ru9CKT8ZFoM7vjrL5jNpzB1YhT5NC75A2vUyDIP3p27gja/WUsmrPD992Js7b6ud5/bnzl+k/sOTqerjycF5T13XugqSXfRFC72+i6Zl8hQ+qTGWjGoP4nrHT3B2BfzRwzYwuMt6cHOMbmynzybw0Ms/svdoNA/f0ZCZbz+Ep3v+YzwuZl3iv6fH8UfSdhq71+fT2q9R1fX63096hoW2w6ay91g0a6cM4fbmf/c+ycLKQcKYHHqWb2ZXoVa1TFY/WYW6bpXyecWilZ4cS+Ki9viZTjHhQGfenPEnl6JPZtumXLlyjBo1itGjRzPs9xdY9eWvJP0ek+uC1m3btmX06NE8+ODrJ24HAAAgAElEQVSDODnZWnSsViu7du1i7dq1pKamEhgYSNeuXSlf7hIrFgwmKnwrPv6N6frQFPwsp+H0PDi3CgwLOLtB9Xvh9rkFfk8FDhyhoaEcOnSIAQMGkJCQQGpqKtWqVSvwgQqj1AeOf4rbDYc+hvCFtg+FT0tbi0fAQ441A5eIFNo325IYviCWoJqpzB3hQSsX24WYFYM/OMAhwqmCN91oiRtXH9BtsVjYtm0b69evJyMjg9q1a9O1a1d8ff2Y9ete/m/yaqIiTlCFUzgnHuJsZFi2/RU4/lZs9YphwIU9GGfmknz4ByoQQ3SKB7PSxzNi6EC8PIv2bunZRAvNJ0aQnGFl2zMB3FLVfhMFJKdkMPStxSxYc5hb61Vh8cd9c/SJz82HMzbyf5NX89F/7uHlQe3sVr4bwc7wNHrMiqKOZQtrbnoUpwp1Md27+e+7z0e/hh3PgG9buHuF7UKxBK3beZre//2J8wkpvDOyE68+evtV12Y5lRbBcyff5lR6BA9Wvos3A5+jnFPhP9dHTp+n+SNfU7liefbNGUklr/KEE8sGDhNPMp64sX9tXcb/ZqFL/fL8MqzadazRce0yUuK5sKA98eeO0WtGNQ4dDs+xTa9evfjoo48ICgoCICYzjocOjyQzLI24Tytwat0CyMrIsV+DBg0YNWoUjzzyCOXK2c49qamprFu3jh3bt+Ni3Yk7qzCsGbRo/xJt73oXs8s/PjPpcRC2yNbtKno9DEwv8PsqUOCYMmUKX375JcnJyZw4cYITJ07wxBNPsGbNmgIfqDDKVOC47OIJ28xWJ2dAVpptRoCGL0DtRzSzlUgZsPJoCvdNO4e3dwYfPZPEUM9W2QYXGhhs5Si7OUElPHmQVniS+8WAYRgcPXqUFStWEB8fT6VKlejcuTMNGjRg6/4IRrz5Hfu3r8Y58RBZl6LyLJMCx9/sXq8k/mmrlE/PvTIF5anEimy/0JCetbYTneJOj5UjGDm4D0MfCC7SBfE2nErlzq/OUruyCzuerUHFfFZzvl6nIuPp/tKP7D8eQ++7GzH9ze4FngUtLd1Coz6fcz4hhWMLn6WKj/1bYsqi73df5In5sVQzR3OwUS/Km1Kg6yao2Cj7hrv/C4cn2BYrDvkeTMW/SKRhGHw+bwfPT1iOu5sL37/zMA92vHqXuvWJ2xl9eiyp1jRervE4j/g9VKRjf6Yu3s3j7/3Cg3fW44mx9ThjisUZJ5pTh2bUxWw4MXxBLN9uv8jw1l5MedjXrmOPUi5dZO/025m7dB+frTKwWrOfs5s2bcrEiRPp2LFjjn2XxK3i1bAJPFDpTgKOPcwL74wnc8cPkJ6UY9tq1arx/PPPM2LECCpWrMili+f4de5gzp75HSsVySzXm5A7htK6dWvM5jxa4FMiwb2IF/5r1qwZmzdvpl27dlcGiDdu3JgDBw4U+ECFUSYDx2VpMXDkr5mtMuLBzR8aPA31RkK54mu+E5Gis+9cOiFfRGJ1sjDq6Qie929NRTxy3XYPJ9nMn1SgPA/SCu9/bRcTE8OKFSs4efIkrq6udOjQgTZt2hB68AQjR41l16aVthN/Hpw8zdS952YmPPE/ut3brUjfZ2lml3ol+QycmWcLGvH7AMhy9Wf+sUZ8sjkIn7od+eG9nnidXwKbhxCR7EX7OYOoEtiAiS91pX0BFjgrqIkbE3j+5zi63+LOwkFVizTQrN5+kj7/N5/4pFTee/JO/m9YyDVfhC1ae5iHR83jse7N+Pb1B4usbDcCS5bBmGVxTNiQSJ2KWextMgzPizugwxyo2TPnDoYVNg6AsIXQ6GVo9kGxljc9w8JTH/7KtJ9DqVezMkvG96Nh7fy7QxmGwbfR85h0biZezp6Mr/1/tKnQLM/tz58/z7Rp04iPj+eBBx6gbdu2BfpMphsZ3Pd/37Pm93D6vxrEkB630o6bqcDfN34zswy6TT/HyqOpjL2vMqM7Ff21WVKala82niN82l3M/uUIccnZn/f19eX999/nsccew9k59xsIhmHw9Mm3WJ+0ncl13qS2tQUPzNrH/iWLcN49jazEczn2qVChAn173Uld/z9wc0mgYfAQatR/hjVrN+e4uVXYoFWgwNG6dWu2bduWbUaq4OBgQkNzLiFvD2U6cFyWmWxbx+PwREgJA7MH1OgG/u3Bry1UbKwuVyKlwNlEC60nRxCVbOHpx8N5tG5tbiUo330OE85a9uOGKw9wG35U/LuZe8cODMMgODiYpk2bsvTX35jw2decOrIXcllMCsDNzY2G9zThfEcLHTrfzjeNPsS9hLtSOJoiq1dSo22Tg5yeB+e32B5zrQSBPTho7UTnd8I5ez6F/xsWwrsj78DZ+a+7yydmwdbHOZ9VneYz+hCe5EH/Lo0Z++zdBFbNOf//tTIMg0fmxDA7NJn3ulTm1bsKf5FkGAYT52zj5Ykr8XBzZfb7D3N/yPUNRjYMg7uf+o61O0+x87vhNL+5eLpol3YXUrLo90M0q46l0j7IjZVNP8D99DfQ8EVo/mHeO1pSYXVnOL8NWn0B9R4vlvKejb1Iz9Hz2Lo/gq7tbmLO+z3xrpD/uSglK43Xwz5hRcJ66rkFManOGwSWy/3zcerUKSZMmMDUqVNJTU298nitWrXo27cv/fv3p2nTpjkulg0MDhPBVo4Ql5TCuAGHSY63sOeHEdwclHPChaQ0KyFfRLI/KqNIx0dFXbQwcWMin89ZRuU1T3MmMvuAcLPZzLPPPssbb7yBt3fONUa2HYjgf9M3UtXHk/ZNA7m5sSfPJYzBzakcixtOwd3JnREbDzDrVxesB5fhe3AasacP53gdZ2fo8eCdvPP+ZBo2bJij+26dOnXo0qVLocZvFyhwdOvWjQkTJtCvXz92797Nd999x7x58/jll1+u+8DX4oYIHJdZM20Lsfw5CS7s/vtxFy/wbW0LH37tbMvRu6gZWsSRJKdbuf3LSPaczWBwv3M81NzMQ7Qu0DztJ4liJaE4G07UOezBrqWbSE1NxdfXl6ysLFasWMGKFSvJyrLkur/ZbKZLly7069eP+DYWvro4l8bu9fn2pg/wdM69deVGVqh6JT0eIpbYuktFr7XdQTZ7QMADtpkIq3Vm6i8HeGrsMszOTkx/szt97sllkPjRr2DHs6S71+exzc/yw9ooypczM2ZIe0YNbo/7VRY+u5pLGVbaTo7kQHQGvz1ajS4N3K++Ux7S0i2M/N9SZi7dS4NaPiwe3y/XC7Nrsf94NMEDvqLdrYGs/2aopsm9igNR6XSfEcXJCxaGt/bi81uXYd7+BFS5A+78FZyuMvlEWiys6ACXzkCnxVDdvmt0bDsQQY+X53LufDJjhrTn/afu/Dtw5yEyPZrnTr3DkdST3OPdnvdrvoS7c85u5nv27OGjjz5i3rx5ZGVl5fuaN998M/369aN///7Ur1+fc1xgA4eIJYnyuNKGBpwPtXLH8JncelMVts54jHKuOf8twxMstP4sggupVtYMr067oOu/iXM0NoOP/0hgxupDZK75EI6uyLFN165d+eSTT7j55ptzPJdpyeK9qet5f9oGsrKyX8bX6pyEZ+9D1Etoyiv+z9KwgQ9fnN/NZz9WJCKyHDclbcZz53hCd+/LtWzdu3dn9OjRtGvXLtcJSu644w7Kl7/2rv8FChzHjx9nwIABHDx4ED8/P9zd3fnll1+oW7fuNR/welStWpWoqLz7JZdZ6XEQu8W2KEvsFojbCda/BuiYnKFSU1v4uBxCrqEvnYgULUuWwUMzo/j1zxQe7pxA57tj6UeHPLtS5WbH2f1s9z1DRnoG+99bSWToKTZs2JDtzt0/mUwmOnbsSP/+/enZsyc+Pj58F7OYsZFfUd+tNtPrjaWiOe8VcG9k1xw4LJcgYqmtu9TZlWDNsE05Wr2LbXXegPvB7EGmJYsXxq/g8592UKtaRZaM70fT+lWvvExWVhYmk+nKTDEc/hR2j4ZKTVntNYVnJ27l8KnzBFbx4qP/3EOfe24p1IX4ibhMWk6KwMkEO58LoHblaw8xkTFJ9Hh5LjsOneX+kHr88N7DVPQsmhazpz78lS/n7+THD3rSt3PjInnNsmjh/mQGz40h3WLwWXdfRjY4CStut3XDvndrwWegSjpi289qgc5rbNcRdjD95z2M/N+vODuZmPZGd/p1ufr/7faLe3nx1AckZl3kmWqDGF6lX7bPvmEYrFmzhnHjxrFy5cpcX8PTozzJl3I/XwLc1PxmGvdvR8u+HekUeBstuYly2P4m3vpqHW9/8wcvDGjDhBdzD2N7ItPp8GUkbmYTW58J4Cbfa/t72haWxrh1CSzcEwNbv8K0cyqGJfvA6/r16/PJJ59w33335foaf54+z6A3FrHz0Fma1q/C9+88TAUPVzbtDWfT3jA2hIaReO96KjRJ4MxnDbAe9afFLVWp0BRiXWpS/dQcbneaTnhUOfafaMiaP0JzHd/Xvn17xowZw/33309UVNSVKdjLly9Pp06daNmy5d/nsQIo8CxVVquVI0eOYBgGDRo0yLMPmT2YTCa6devGmDFjCAkJKbbjOpysdLiw568AsskWQi6vCgm2qe8uhw+/tlDxFnXDkrwZBiSfAM86JTKIsCwxDINnFp/niy1JdG1p4f7eJ+hgakTTq3SluuzChQssX76c3377jUMn/+TQgUOkJeU+rzpAq1at6N+/P3369KF69epXHv/p/DLeDv+M2uUCmVFvHD4uOZvgxaZAgSMrHc6ttLVkRCyFrBTb30qVO22r8AZ2B9e//41j4y/Re8xP/LH7DHe0DGLeh72xZiSzadOmK1+7du3Ez8+fyZMn06NHD9uOB/4He98En1ZkdlzKl0uO8OZX60i4mEZIcE0mvty1UF2Ofj18iW7Towiu7srq4dWp7F7wemHz3nB6jp5HVFwyrwwL4Z1/dgsrAucTUqjX4zO8PMpxeP7ThW7VcSSXkqNJvHDy6hvmwzAMpu64yLQdSVQq78QH9/oQ7JuG357hOGfEcb7pZ2RWaJhjPycnZ3yr3Jp9hqHLojfAmnuhnB903VikNyszLVm89MlKPpu7nZpVK7L44740u8pn1zAMZp//mXERX+PmVI6xQaPpVLHNlectFgsLFixg3Lhx7N69O8f+zk7Q/66ajBq7gJtvuZUVvy1jzrf/Y8mqHaSk532JGxISQv/+/enduzd+fn5YLFY6jZjBpr3h/DZpIF3b3ZTrfr8evsSDM6Ko6+PClqdr4OOR/9+TYRj89mcK4/5I4I8TKXDoZ9w2f0xaQvYb6V5eXrz55ps888wztoX4/sVqNfjipx2MmrSK9AwLY4a0563hnXJtjTmeEEm/k89CphMVZndl+64YvF3CeKTpQqpViOV0VlN+sIynSqVAXguOZ/XCb5k1axYZGTlntmrYsCGjRo1iwIABHD16NNsis0899VS+7/2f8g0chw4dynfnRo0a5ft8Uflnwr2tZVNeefWtbHMJ37AMAy4e+0cryGbb3YvLXLzAt81fIaQ9+N5ma/YXSTsP25+C8MUQ0A3azbjmRXzkbxPWJ/DS0jja32Sm96MHCTRXogdtrtqVKjU1lSlTpvDjjz9y4MABUlLyDhk31buZYUMH0bdv31xbl3++sJpXz4wnwLUqM+t/hL+LT6HfV1mWZ+CwZkH0Otvg7/BFkJFge9yvna0lo+bDUL5Kjt32/HmO7i/9SPjpE9zZyJkA90S2bN7EsePH8yzD0KFDmThxIl5eXhD6OhwcC34hcOdSzifDG1PW8tXCXRiGwWPdm/H+U3fhX/n6zuFvrbzA27/HYzJB4yqutA9yu/IVVMmcayvKt4t389SHv+JidmbGW93pfXfRrx0CMHHOVp4fv4K3R3TijSdyzr5TGp05voqlc3qQmXGpSF/XBDwU6EwtDydWnbNwMDHvC2rXcl7UbdSDBk36U7POXTg5/+PC9NQc2DzE1sJxzxpwKXxL6MqtJ3h+/HIOnzpPx+a1+Glsb/wq5f95Tbdm8G74ZBZfWEWtcjWYVOcN6rrZJk9ISUlhxowZjB8/npMncwY393JOPNEJXhjRl1rdv8txgzU5PoK5U4bx84I1LN9rJSP33qg4Oztz11130b9/f1q0vYMOI+ZQztXMvjkj85xB7YvNiTy9+DwhQW6seqIabi45r0czswzmhCbz0R8JHIjKwDl6L5W3fEDssV3ZtjOZ4NGhQ/jgw3F5jpGIjEli2NtLWLXtJLVreDPr7R6EXGWSiUVxK3k97BO6e9/JA6cz2bbuLaxWK3uyurJ0bwjx3sFQox5kpuN9bj8dfJNIDd/I1rWLSb6Yc2arGjVq8PzzzzN06FD279/P5s2befXVV/MtQ7b3mV/gqF27NiaTCcMwCAsLs50UgcTERGrVqsWpU6cKfKDCyO1EWCvQl5dffpEnRrx4ZS5hwXYhef7f3bD+SqwmZ6gU/K9uWNXzfz0peyKXwdYRkBYNXg1sIdXrZug43+FWoy0NFuxPpvf30dzs78JzT53EVD6NvnTIMdvUZYZhsGvXLiZNmsTPP/9MYmJinq/t5F6ZJt1DGPV/jzOgSbc8A8yK+A2MOv0hVVx8mVl/HNVdc14QS3bZAodh2AbTnpkLZ+bb/jbAdjFWq69tZV3PWjleIy0tjZ07d/LF9AXMXfQbxsUzGJa0aypHzZo1mTVrFh1vvx12j7KN36t6N3RaCM5u7DsWzX8+Xs66Xafx8ijHG0/czrN9W1/zgnlWq8H0nRdZeTSFjafTOJv0d7/3ahWcCan9VwCp5cYt/mZe/nQFX/y0k6Dq3iz+uG+2bmFFLdOSxa39pnDmXAJHFjxTJIPmS9LRAz+xfP5AXFw9aRkyGmfna18zIjbZwrSdF4lOzqJFjXL0udUTF2cT1eNXUDVxLec9byPMN5cZqf6SkZHMyT9/Juas7eK2vLsv9Rr3pkGT/lSv2R6TkxPs/wD2vQXVu0LHhVcfA5KHY2FxvPTJSn7ZcPTKGKRXHu2Aizn/z2hMZhzPn3yXfSlH6PD/7J11dBTX+8Y/q9noxo0IIZAEC8EpLsVdC4UipUpLjVL3UsNKW6jRFi9OsBb3JGiwQEIgxN1ls747vz+GhoYECBRo+/31OSdnc3Zn7tyZ3Zl73/s+z/M6teGLwNdxkjtQVFTEt99+y9dff01hYWGN/Tzc3Xihn4JnOxXi1v5ViPi0RgHlAso4Qjw5lOBRnkuHQ8vZuy2K1Ucl7I+31LCb/QNKpZIWbTpzMseV3n37s3PRlJs6vL26vZB5h8sY28KBVeM8q7ar0Fv56UQ5X0aVkVFqxs6QT/0LC4jfv65GGx1CbVnw83bad+p50+u0ZtcFpn3xGyXleqYObcmXr/TF0f72815BEHjx3HTsDq7Cu6gUV4/G9Bu1khxfF44I8Shy7Ejc5873F5ToBDnkpULiCTBUoCg9i7TgGIbKkhrtqtVqnn32WSZNmlSrvuRmqBOlavr06XTt2pXRo0cDsGHDBk6dOsXnn9/CEeEewtHJCYNFgklbM+JydlIwcXwfZr4xG7+AB5Nx+VfBYhDF539kQG6kYTkEiQWB/ghCnJv+R6/5X4VJI3LFk34ChRrafgX1x8GlBXDmTZA7ih7t91lI+L+E4+l6un+fjVol5avntRS6ptKZxrSgZqXlrKwsFi9ezPLly2+9WKNwQO4eztQpE/nknUfZb3uefMpoTiBdaFIj6DhYdoyXkmfhIlezLGQOATb/LSLUBX5+fmTG/SbSpdLWi0JaAMdGIl0qcAyoqw+mBQUFNehRRqOpTsdTq51o0SKCzp07883XC6jQXM9mSSQSZsyYwayPP8bm3AxIWgz1BkCXdSBTIggCkQcuMWPBblKzS2kU4MqXr/RlQKdGd6XvEASBtBIz0al6otP0RKfqics18sdsQCpYsJYWEGhnZPakCPo2drovtTz+jF1Hk+g3fRWP9mvOqlkj7uux7ifiTv7Ivm3PYO/gzfBJu3H3unNdys5ELeN+zaNcb2X2ADde6aoWv+eMLXB4NLi2hj4H6lTEr6TwMpfj1pIYt5riAtGdyFHtT0izRwhp9gieGT8gSV4GjZ6Ctt/UmLjfCuUaA7N+PsyC1ccwma2M7dOML154mIA6BIznKhN4KXkWBeZipnqN4QWfiWSmZzJ//nx++umnWrO9DRo04NXnJzK53kpsTWlioNH01WrbaDFwnMvEk4EEaEIA7WmELTaQtQNOzyQvI5H1Z51ZfdqNmNjEGsepglRBqw49+PDN6fTp06cGzclqFRi9Mo9NFyp5q6czL3RS8010GYuOllOqs+JpYyYiZxXRa+ZTWVk90xXgBu8+4sn4T89iq66dclZSrmPa57+zZvcFPF3tWfz24DrVLgHxHr8Y+zMHf38Rs0nL1ZAwPhh1CDdbMYNyhHjOk0oIvrTQNOPpjYVsvliJm0qgjzqf3CtXOHY+DV3OGciNFg0HboBSqcRguMeF/zp06MCxY8du+979gp+fH/Hx8Ux+ZyGRS7+BipoCcpUN9OnhxwvTn6djt6nY2v8194y/C1YEsigihTycsKUJ/ii5h5xWQYCKyzfQsC5f/1yhFgMPv8EidcDmP1rG/wQKjkLM46Jmw6sHPPQT2Ptf/zxnD0SNB2MZRHwCTWbc0cDz/xHJRSY6LMxEYxRY/4w9qf6x+FCTShUfH8+cObNZtWoVJlPtOX2VnSMG+1AEl6aMGzWQ2S/0xc9LzCgbMfM7sWRRRCN86EULZIiLAjHlp3ku+X0cZfYsaTS7iorwH24PP3cFmV9d+57s/MUsRv1HxCzwtcx+YmLinwKMKC5fvlKntqVSKc2bN8fX1xd7e3tCQ0OZOHEiISFiBjEjI4Oxjwwl5uiZavs1b96clSuWE175FaSsEmsqdFpRtfKsN5iZv+oony45QqXORL+ODZn/cp/b1jSoC8p0FlZE5/D2qvOUy9XIXTwxX/udSSTQ3FtZlQHpHKQiwLl2GtZfwaCXfuW3qCtE/TTlntYkeRAQBIGThz8nZu9bqF2DGT5pNws3ZaKQS3l6ZJvbWsH+0cacQ6W8uaMYJ5WUteO96BNyzVmsPBF2dASZjSgSt7+z6yMIAoW550mMW01i3BoqSsUA28WtIUPrSXA2pkLLz6HJK7dty2oVWLrtLG8u2kd+cSUtQ7356tV+dGlZMwtYGzYV7eLjjIXIkPFx4MvUy3Bh9uzZrFmzplbHqdatW/Paa68xsmcjZIeGgKEA2n0HDacAYpCRQwk5FJNAJkbM1MOVzjTBnRuowhajWPcsbhaYykgT2rImqS1rthy6ZakHV1dXRo4cydixY+nWrVuVjllrtNLzx2yOpxtQysBogYZucnoTxY4f3iX1hsUllY2cNwdZmdLXF7dRR7Fz8av1eHuOXWXKR1vIyq9gaLdQfnx7cJ3plJWaPPZtfpLkxG04OPlh9/BzfMohhrn2Zlag+P1aEdhBLKnk04aGtBMasSy2ghe2FFJhEHi+oxOz+jhzJbWAw6dT2Ri5lVMH1mEsqX4+d1JMtk4BR3h4OIsWLaJLly4AREVFMW3aNM6fr91S617jz6nvPQnljHjrJzRRP0Dh5RrbymTQNlzC+DGd6dn3CYIbD8NG9c/mpgsI5FHKFXJIIgct1yNGJXKaEUg49bHnPlHH/qBh5V8TohfHijQsiRx8HhZX+vyH3hOO5394wLAYIe5jiJ8DEoVY8Cn0udqzWBVJcGgUlMWLNJIOP4D87m00/5dRrLXQcVEWlwtNrJ/ogbbpabRUp1JFHTnCRx++wZ59MbW2obKR0jwilDRzOPnWRrRpFsBXM/rRsYV/jW3NWNjNWVLIIwAP+tGKc5p4nkl6F6VUwS8NvyDMrsF9Pef/Nfi5ycjc+bz4fPN4CL3BSGxsLFFRUURHRxMTE01RUXGd2rK3t6djx4506tSJTp064e7uzv79+6moqCAsLIxBgwZhb199smC1Wvnk45l8NGs+5j/FoQqFglkff8SM9meQZUVC0Hh46Odq92xWfjlvLtzHit/PI5NJeH5MO95/shsuTnduVfkHVu+MY+rHW7FYBX54axDjB7TgXLaB6DQ9USliFiSn4vpksJ5aRqfAP3QgtrTwUSKX/bUA5HJaEU3HfEuLEC9OLHvynhYrvJ8QBIEju2ZyOnoe7t4tGD5xJ5+vjGfWz0cAcLBT8vSI1rw0rkPVQsKN0BqtPLGhgNVnNTT1UrB5ks91BySTBnZ1EoOOnjvAu8df7m9OxjEux63m8oV1WLR5jA6U424jIcntETw7zMLJufbgIfpsOi/O20lsQg6ervZ8Oq0nkwdH1MlIwCSYmZP5I78WbsNH4cGEjD6s+XoVO3furHX7Pn368Prrr9OjRw8kBUfh4FAEiw5Npx9JD+h8LcgooZzr2RAnbOlIGA3wvrWGTp8P5z6ApJ/FiDp4Kgk2j7ImcjerV6/mypWbLy74+PgwZswYxo4dS/v27SmotPDwjznYKyWM8cli27dvcWD//hr7De3VnG+GJODg7IlywGHs3Wtq8bR6E298s5dv1p7AwU7JVzP6MWVIRJ2D+6T4zezb+hS6ygLCwsfTfdBCbFRqnr36HlEVp1jU4EO6qdsBYMJMJMcooJxehBOGH6nFJiauzedIip5QDwUrxnrS1l8MlgVBYNO23Xz2+RfEHj1Q9V5dUaeA48iRI4wbN67qganT6Vi9ejWdOnWq84H+Cm4U96UWmxiyNIe4mD24X/iJwsSamRYJ0CwUHu6spGevwYSGjyMoZAByxd0/kO8lBASKqOAK2VwhhwpEGzc1djTCl2C8yaeMMyRTSiVSpIRRj5YE4cx9rr9hKoeMraJoMmcPCBYxdVtvgDg4+/YH+T/jOv6HW6AsHqInQ8lZcG0JHZeA+ja0Q1MFxEyBzK3iSm/X9bVy1/8/w2AW6PtTNoeS9SwY4kbLzlnEkUZnGtPMEsDKZQuYO28+F+Kza+wrkRjjTI0AACAASURBVEjo2b0toY0EfNXnsLcxIggSFOo2dO32BCHNRqGyc631uFasHOQCCWRirqxkVdJqJMBPDT+juX3d0uz/4Tp8fX357rvvqjIYp06drDM9SmrjhGAfwMgh/XjrhUcJDw9HJpNhMpnYs2cPJ0+eRKlU0r9//1qLjv0ZMVG/Me6R4aRnVz92l86dWDbNjiDrQWj4BLRbVCPreCwukxfn7uTExSzc1LbMerYnTw5vdUcuUhaLlTcX7mPOihh8PRzZNGcM7ZvVXHUVBIHUP2hY1/4u5F2nYdkrJXQIuC5E7xCgwkl15/TcVxfsZt7Koyx5fyiTB0fc8f4PGlaLmb1bniT+zFJ8AzszZPw2ft2dwtSPt9KmiS/PjW7LvJVHuXA1H7lMyvj+zZn5WEeaBl8XB6eVmBi+LJcz2UaGNbVn+SOeOP5x7QThWpXwjdDyMzH7fI/7n5l6iLRzi2lVEYmN1MqGdAsSjw6Eho+jUbMx2Dt4kZFbxuvf7GX1rgso5FJeHNeed6Z2rbM9crGplBmpn3Gi7ByeR1WULc/gzKlaHKdkMsaMGcNrr71GREQEZiyUZW3E5cgTWCUSdnd7hxTv6+YFauzwwQVvXPDBBRcc6lT36HrHzkLsDMg/IjI8wt9FaPQMZ85dYPXq1Sz+ZTllxfk33T0oKIixY8cyePBgVq5cyffff4/Vaq22TevWrXlzSntGqBdTbnVF2vcgjl41tQ+n4rN57L1ILqUW0jkigOUfDiOoXt0Kdhr05Rza8RLxp5dgY+tCr8HfE9J8TNXnucYChiU8g53Mls1h3+MkF+eRlRjYQDRaDAymLX64Y7EKzD9cyju7irEI8F4vF97q6VJtQeHSpUvMnTuXn376qU79gzuwxTUajVW2uGFhYbVadt0v+Pr5EptcPdWlNVp59bcifkvQ4q9JIODSWg79vqPWaCvIH3p1hOaN7fFvPIDAZsPxCuqKVHZ7qpKz3Alb6b2r0FtKZVWQUYJYu94eFY3woRE+eKCudrMICKSQx2mSyUN0S2mAFy0JxpsHYHmpL4T0TWLwkX8EEESuv/9QkX7g3ROk/34bQ5NgxipYsZE+uN/1fYNghcSFcOZtEEzQ5DVo/g7UVbgoWCHuEzEzYuMOXdaAV9f72+d/CQRBYOLafFae1vBCJzWvDZWwmeOoMwuJX7CBpSt2kZNf01ZQLpfTpk0b3v14Nsv25bFuz0XsbSy8OlyghVccmVd3YLEYkUrlBDbsS2j4OBqEDUVpU31xQUBgjXYvc5IWIQhWFgZ/QCeHVg/q9P+nUNcVQ6lUSosWLejYsSP5RlfWH9Pg7unD+s9H071N/artsrKyiIyMpKioiMDAQIYNG1ZrZWAzFiRIqmhxAEUFV5kyvj3b9xbx5yHMwd6er54JYkrEJSRhL0DruTWCDqtVYOXv53lj4V5yCjWEN/JiwYy+9GhTU0d0I0rKdTz6ziZ2xiTRobkfm+aMwce97pnsUp2Fo2nXA5DjGQZ0JvEEpBII97lOw+oSZIuf8+1FyWUaPY2Gf4NUKuHyxuk4OfxzTWHMJj2/rxtL8qUtBIUMZMAj6zh0Jpf+L6yinqcjx5Y8gbe7g2iLGp3EF8ujOXxapDIN6hLCaxM7YnHyYPTKPAorrXzQ24V3e7lUz+zEz4czb4gU586r7yvV1Zx/FOm+PpissDbNQrFOh0QixaSMYMvZAGIzQ+n1UAvmvdSHkMCb062NRmO1OeIl7VWeS3iPhE1nMawqoDitph7A1taWJ554gmdenoYqyLkqe+GcspUeR7/CqLTjtx7vg1sbfK4FF964YHcvmB+CABmb4PQbopbLKVS813z7YjZbeGj0+5yK3o2T6SrlpXXLegJ4enrw/nuv0TtMQ3DOZ1Ra7alo/ysOXtUX/iwWK4vWn+Cr1ceRSODVCR15anhrpHVcOCgpTGTflqcoL00lsGFfeg//BQenmlq+TUW7eC99QTVqFUARFWziKAAjeQhXxGfA+RwDj63J53yOkXb+NqwY60mIx93PkW4ZcFRWVtZIA9/NNn8VCi8VoTtvn0I0pGooWpFK6fYsBFPN03L3ktK7nZVWzcBsqyClnjdX/XzIdXe56U3sJHNgmvcEHvEYiEJydw4OGnQkkcMVcshHdKRRoSAYH0LwxQeX20bkAgI5lHCaq6Qh3qy+uNKSBgTicWcR/d1Cmyk6uKStE92vQJyQBowQKTienf51gvMycwVrCrezqmArMqR82eAdIuxrepr/a1CZDkefFKsfOwSLWQ2PDrffrzZkbBGzHRY9tJ4HIc/8v9d1vL+7mI/2ljCkiR0/Dank12OfsH/xVg7tK6asoub2jk5qAkLbIHVvSaXcl+Rs0fhiWPcw5r7Um2A/MZth0JeRFB9JYtxqMpL3IVgtyBW2BIUOJrT5WOo36o9coSJJl8aUpNfQWLT0Cx5EE8dQhtAONf9R3+4UNws4VPYqmrUN56FOHenduRfdO3VDIrNh0vub2XQggYgQbyLnPkJ9XzGYsFgsHDlyhMOHDyOVSunZsycdOnSo1bb9Kjkc5AJSpLSgPk0JqCo6pqssZPYHXVj48yUKbzCGGfqQOz9OKMWz4xsQ8XGt/a6oNPDZ0ijmrTyK0WRhZM/GzHmx901XSOOTCxg6Yw1JGcVMHdqSRa8PqNXP/05gsgicyTJUE6PnXqNhSSQwta0js/q64uV46+MsjozlqU+28/qkTnw+/eG/1Kf7BYO+nG2/DiUz5SBh4ePpPWIJCSkldJr6CxIJxPwylSYNamprjsVlMmd5DJsOJoBvCJKQNtjIJax61JsRzW9gL+QeEOtlOIZAv+gHQ2vO3AaHRiE4NmR1+Rhijq+nvlMCcqkVJAoahPYntPk4GoQNRqGsPvfTaDRs376dxMRE1Go1/v7+JKmz+CryOwrWJGMurrkY4+rmyrjpk+j53BC07lD2J3pUROIuOp76HpOdF6U91+Gqbouc+2heYNZBwpdwcbZYc8d3ALSeTY7Rh/Cx32MymfjmmTD27dpKZGQk5eU1jYxArAvSrT307gxhrhIG+8nQW2B9mpnSuiVR7xhyhS1d+s4lvN2zN322CYLAM1ffJboilm8bfEjXa9QqgAwK2c5J7FExko5VFH6DWeC93cXMOVSKSi5h3iA3nungdFf6rVsGHK1atWLEiBGMHz+eoKDrqyVGo5F9+/bx3XffMWzYMB5//PE7PvCdwNnHhbdPzr7p58nFJn6/pMVoEejWQEVDuZ6YJfuJWX4IQ0XNipNObiq6d1LyUGg5KhsQ7J2xBrdFCG6L4BFYNamyYmVPaTS5pgIaqPx5vd7TdHJqXac+6zBy9VqQkY0YESuQ0wAvGuGLH27VVrjuBEVUcJZkLpONFQFXHGhJAxrhe9dt3jEqkiB1nWgjWSY6X2DnJwovA8eAa6t/9OQ0x5jP8vxINhTtRGfV463woMxSjlmw8I7/84x0+5c5NQkCpP4KJ18CUxk0fBJafQGKv0i/K70ouqJUJEHwFGj7tSha/H+IpafKmb4ugcGue+gs3cLGzaeIOQ36Wkw6VA6uyHw6UmnfvOp6BdVzplN4AJMHt6BXu5vrLbSafK5c3EBi3Gqy06IA0U/fO7Qfq53zSXKz46vg93FTe3OQC9hhwxDa4najOPI/3BJ/DJi2XvbYRbigaOGIXYQLqoYOSOTXn6MOEns0eTIqcqQE2vsw7qG2BNh54630wEYjJ2r7IfKycvHy8mL48OF4edW0JDZg4gjxJJKFCgVyZGjQo0BOU/xpQRAOqDAaKlj3yyC+XXyYG/TkeDorWDzFypDHP4Zmb970vJIzS5j51R42HUjARinj1QkdeWNyZxzsrq9Mbjl4iQnvRaI3mFkwoy/TRre95wJwECc4KcUiDWvJqXIOXNXjpJLybi8XXuikRimv/ZgWi5U2jy0mPqWA+PXTqgLzfwq0lQVsXt6f/OxYIjpMp1v/BeQWV9Jh8s9kF1Swa+EEera9eYbJYBaYsCKDDQkm0FXA+YOEusuZ+VhHJgwIFwO/ygzY0V50muwXXcMx7X4i4/Cn+Gd8wKHMAMbsnsJbj7eje0gaVy+uJSN5P4JgRa6wo0HYEEKbjyOwUV+SklLYtm0bWq2W+vXrk5aRzopja0nefwmrrqYQ3LO+Dw+/OpI2U3qgtBNZJE7X6FE+gjNBF37G7vznomtcrx13LJL/S9BmigyB1NWiljX0eXZqxtB/xm90aRnAge8nYTIZ2bx5HYsWvM3x2Ez+8APp1CGYaVO74lfPBXnpJdqa92IWZMTaDsbqcJ2qKCBw/koeh2LTMFustGnsS6cIf2R3UV9OKlPSpOVkXD1uT63NMRYwPOEZ7GW2RP6JWgWQQAb7icMTNcNoj4LrCwOHk3VMWptPaomZfqG2/DzKE1/1nS1Q3DLg0Ol0LFy4kB9//JGKigp8fHzQ6XTk5eXx8MMPM3PmTNq1a3ez3e8Z6lIRNjHfyNBluSQWmJjY2oHvR3hg0mlYvHgx8+d/SXZ2Vo19HB0dGDYwnFahmWBJB8DZtSEhzccSGj4ON88m6Kx6luZt5Oe89egFA92c2jGz3pPUV9XkuBoxkUweV8ghg0IEBGRIqY8njfAlEI97Gp1XoOMcqcSTjgkLDqhoQdA1Z6u/tlJVZwgClMaJWY/UdVCZKr7v2FAMPOo/Aup/Tsbgsi6FJXkb2VFyEDMWGqnq87jXaPq5dOWqLp0XUj4k25jPOPfBvOb31F1ntR4oDEVw4nmR46vyEsXe9Qbcw/ZLIHqCqOdx7wBd14Lt3Vc9/rdBrytl24HVHIhehWNxDIeOCZyKg1rMVEDlCd6dkLo3J8RPjbO8gs4RAbz81Eh8Pe48ICgvTefKhXXEnVtBaa5o0iGzdaZp80cJDR+H1j+IvdLzKJAxkLb4UDe+738ANzc3zpw5Q0CAOJGpsFSSaywg11hAjkl8PZ2dTHRKIhK1HpWbCavUWrMhAdRWBwId/fBReuKj9MBb4YGP0gMfpSdWhYxT8mQqJQYC8aAH4ahQcIVszpBMMRqkSAi5ptFzMinYsf5Rtm6NZMMOJaXl1VeFp3aT8OXcT3Fs88Ytz2//yRRenLuTC1fz8fVw5IvpDzOubzM++eUI7/9wEHdnOzZ8MZpurevfq0t6SwiCwOaLlczYXkRKsZlG7grmD3JjYGO7WoOdw6fT6PbUUoZ1DyNy7iMPpI91QXlpOpFLe1NSdJkOPT6gfY/30OpNdHtqKbEJOSz9YCiTBt1ce5JTbmbkilyOphnoE2LLgn72LN98ku82nKJMY8DH3YEZ41rxovtbyEtjoes68B9Wp75VVFSQkZFBeno62dnZmM03qXR3s3OrNLDl4CWizqUzJiSBXv6pmJxbowh5vGoB0aAvIz/7NLlZJ6qqqEulSkyCF8gDaNaiJ1eSk1i7Zi1Wc837xS+iAQ+/PoqI4R1RlAk4VSrxk3nQ2CUIL0d3kdIbOwMSF4nawx7bxOfq34GCo3DqFdFIx8aD1XljmLDUiQ+e7slj3XTsiXycyoocfIOGIHEYTWD9kKo5cW5cJK5nJ2BFRkX7DXiE9KlqNqewgqkfbWVHTBKBPmqWfTDsgd2HABuLdvF+LdQqgONc5hRJBOFFP1oh/RN7plxv5aWthSw5VYGrnZTvR3gwOrzui5p11nBkZmaSmZmJnZ0doaGhD7TYXl0CDhBt/SasyWd7gpY2fjZETvTGz1mO0Wjk119/5YsvZnPpUkKN/RRKJWNG9adfd2d0JbuprMgBwN0rnOAmw6kX2AW8GrCwcB2/lxxELpEzwWMoT3uPw1amIpV8ksghlXwsWJEiwR93GuFLEJ53bGtbWGlhRWwFalspw5va42J36yBFj4kLpHGeVHQYsfmTs9U94TfWFYIARSeu+dpvAP01+2Ln5td97R3qP7j+VHVL4JQmjl/yN3Ck/CQA7Rxa8LjXKDo5tq422JWYy5iR8hknNOdo49Cc+fXfwlXxALQyd4vsXXDsKdDliINSu29BdR8soa0WOPs2JMwHW19RTO7e9t4f5x8Ck7GS5EvbSIxbQ8rlHaSkG9kbIyH+ikBtT0yZOoiIriMZOngQnVsG4G5rZNOGNXh6ejJ16tS/pHnLMxYy6cpMNEVXeaqiAULSMUoKRe94R7U/3s0Gkx7eGIlPMP0lbQjEQ/y+9DlQmSnS7LSZoM2ANl/edT/+13CrcUUQBBb8eoxXv9qDo52SX2eNpF+nYIrNpSSVprE9Zgcp5elYnEEd5EqZQgxWCs01i2QByCQyPJVuBCh88VF60MahOQNduiOXykmjgDMkV2XC6+NJhCWA+G1vcfzwz2w94MrJs9V540EesHzBDDo/OveW52g2W1m8OZZ3vjtAcZkObzcHcos0RIR4s3neIwT6PPhnm95k5csjZXyyv4RKo0DfEFu+HOxOY6+a98iYN9azfm88e7997JZZwQeF4vwENi3rg6Y8k+4Dvyaiw3QsFivDX13LtiOXee/Jrnz49HX6dyJZVTRqgPh0Ce8sV1BYLmFcNzNP9bfwB02/UmNia2Qy63+9zKzwTTwdfoYt2sFYhr6Fh6ctZpOJgqx88tJzyM/IJT89h/yMHPLSc6ve05TWTvH5J6Dxwy0Z++oUOrZ7CEuWlpJLOWSkpFert+GidmCY928EWKIwOndA/vBWpDZ/8/grWCF5pTj+6fO4VObL6st2uDgmoLRxoseghYS1mFBtHpGf8DvqU48AAmWtV+PZZHDVZxv2xvP0Z9spLtMxeXAEX83o98B1Sn+mVn3X4CO6qK+P5QICezjHFbJpQX06U9NoZvOFSp7cmE9hpRVhdk2nrZuhzgHHvcKVK1eYNGkShYWFODs7s3TpUpo0ubVzTl0DDhAFdO/tLuaT/aV4OcjYONGLTvVtr31m5bfffmP27NlERUXV2FcikTBs2DCmTOyNreQsSRc3oNeJD3qJVIaHdwvkPmHsty3ktKMRqaM77X0foqFrCFKJlHq40vCaw5Qtdz7BSCk2Mf9wKT+frKgS3ilk0D/UjrEtHBjS1B575c3TbWYsJJLFGZIpQ4sMKWH4EUHQTase3zdYLZB/WAw+MiLBeG0gdu8gBh6Bo8D2/lWuBbAIFvaXHWNJ3nrOaxORIKG3cyemeI66pauPSTAzN+snVhVswUfhydcN3qWxXcP72tc7hrlSFLhd+UEU8bddAEET7j+NLWU1HH9aDC7bL4IGE+/v8R4gLGYjqVd2cjluDVcvbcFo1BKfJOH3GAdyMmoRaCAhon13Zrw6k3HD+1Y5A5WWlvLjjz9itVp56qmncHW9ezpIoamEKVdeI8WQyYcBLzHSrS+C1UphZhQZcUspTP4NubEQRwU42tvj5OiAm0yGjaEIhFpWN8fX5FD/L+Bejis6vYmnP93Oit/PE1bfnS3zxlYJZC9evMj27dvR6/VERETQr1+/aotvRquRXFMhicZU9hvPkGcqxGI0IjdaKTKVkGPMp9Iq0nw9FW485jGM0e79cZDZk0sJZ0gmGbHKuZfgjM3uVSQd+ZZLaX78urkEjeZ68TCJBF5/aiAffr3ptgFtcZmODxcfZNH6k4zu1ZSf3xuCnervNfvILjPz5s4ilsdqkEnh+Y5q3n/YpdoCW2p2KY1HL6KhnytnVj2NXP73aQRzM0+yeUV/jPoy+oxYSliL8QC8MGcH36w9wWMDwln24bCqiWciWezlXNX+x045sWaTFxLg0VG5tG11/ZkiCAKagjJKMgqwPboH1xM7iM5wZt05bzCVo5BUYNKUU+tqxz8YEqmEPqP6M/O11+nZuksNrakgCBQXF5ORkUFW2hWalnxCfUU8lzSN2JA3ArnSHj8/P/z9/QkICKBevXoP1LCoGkzlaI6+iG36KmQSOFtsh/eASLyDq+uLi5IOYnd0KHJMFIYvxaeF6BRVptEzffYOVvx+HndnO358exDDe/x97I8cYwHDEp7GQWbH5sY/4Ci7Pke0YGErJ8mmmC40IZz6NfbPqzDz5IYCtk6pO9vhgQccPXv2ZOLEiUyePJkNGzYwb948jh49est97iTg+AMbzmuYtDYfk1Vg0TAPnmxfnc4QExPD7Nmz2bJlS637d+vWjRkzXqF1Cw9yMmLITosiMz0KQ+X1Kt0aOzty3dSYvRswotnzPFx/NFLpnVOmzmQZmHOolHXnNVis0NJXycxuzujMAqvPatifpMMqgJ1CwpAm9oyLcKBvqB02N+G/WhFIIZfTJFetrgTjTUsa4PUgnK1uhMUo0nHS1oqCNHOlKC736i6Kzf2Hgc29o4IYrEa2Fe9jaf5GUg1ZKCUKhrr2ZrLnCAJV9ercTmTRbj7K+AYZMj4KfIkBLt3vWR//EgpPQMxkUVfh2VX06H+Q1rXFZ8R6HdoMCJ0uakWk/wLqWS2wWi1kphzkfOwKkhMisZrLMVtg9wlXok8a0ZZrauwjU8rpMWkA37w6m7CQ6oGryWTil19+ITc3l3HjxlUVersjWPRQmYGmIpFfUr5Eos2ivzKIhlapyOvWZoj3UC3QmgU0ZtDKHLB1aY7arxsqt2Yi/9nOr3qxx/8h3KtxJTOvnOEz13IqPpvBXUJY8fFw1A4qdDodO3bsIC4uDjs7OwYPHkxYWE1OvRWBM1zlBKKHf1sa0YoGSP+krSsxlxFZtJsV+ZspMBfjILXjEfeBTPAchofClRI0nCWFS2RhxYry8BYq9/yIUfBn6wEfomNOVDtmi8aBrFy3nWbNbl/RWqs3/e2Bxo04nq7nxa2FHE834GYnZVZfV55s74TsmlPTu9/tZ9bPR1j0+gCmjf57sqrpV/ex7ddhWK1mBo3dQFDoQAC+Wn2Ml+btolurQHYtnFAlui+gnE3EYIOSgZa2vL0hn8W7k3C35vJ4k3IkFTlkZWSSkZ5BVkYmmRmZ6PX6e9pnGxsbVKqbO2xarAJ6gxmzxQJIsFHKsFHKa7GfsYKpUnyV22NFhtlswiJYEaQCVomAgDiNlEmkyCVy7FVKmjey0jGinODgYLr2m0eDsCE31wkZS+HgcCiIxhwwjqser5GRmSMGIllZVcUAJRIJ3t7eVQFIQEAAjo73X0hvsZg4cXAWJw5/gotSSud6QTRQpGC0KlCEv4ak6asgt6ck9SjKwwOwkerJD/sO3zaTAZHeOPmDzWTklTOoSwiL3x6Mt/t9Lm9QB2wo3MkHGV8x3LUPHwe+XO0zPUY2cpQyKulPa4KoqU0TBOGOtF8PNODIz88nJCSEwsJC5HI5giDg4+PDsWPHqF+//k33q1evHhlZdxZwgGjpNXxpHqklZp55yIkvB7vVEKklJCQwb+5cVqxYidlU0z7Au54PCgcVJsxYsYLFjNRkQmI2IZj0WC3X9xEkEuRyFQqFPXK5LXKFCsktXJsqjVaKtVa017IZdgoJrnbSqiyGs7MzAQEBuHrVo1DqxQWdO4l6d3D0Re3mzsjmDoyLcKBHsG3Vw/nPEBDIppjTJJN+zdmqHm60pAEBuN/U2epOf0R3BHMlZP4maj6yd4oFBqUK8OkD9R/B5NUPZHfnuFNh1bC+aAdrirZRZC7FUWrPGLeBPOI2EDe5C1arlby8PDIyMsjIzCQjPb3q/8zMTDw9PXnhhRfo2/e6YPxcZQIvJc+iwFzM456jeNF3MjLJfXTJuBWsJrjwKVz4HCQy0a0m7MW/xxlMnw+Hx0JBlFi5vPOq+0Plug+wWizEnt5F7PHlaPJ2orgWlCcXerAjRk1yYi4WQ81AQ61W0/XZAXSePoCnvAfXqIcjCAJbtm7l/PlzdO3ale7dutd2dNAXiEHDH8FDtddM8drWBpkd2PuBXcC1V38xgLDzB3s/rDY+JGYe5uD5bzHEHwa9GJT4BHQktPk4GjUbjb1DzUHj3467HVduDDiiz6Yz8vV15BVV8s7ULnz4dA+kUgnJycls3ryZiooKQkJCGDx4MA4ONScLZWjZxzlyKMEFB3rTAg/UNz2+0WpkW8kBluZtIMWQiUIiZ4jrw0z2HEmQyo9K9JwnlQukoz+1HcvWRchtXck3TOCLz77FaLyerVIq5Hz62ee8/PLLtbpj/dNhtQqsOqPh9d+LyKmwEO6jZMFgd3o0tKVSZyR05EJ0BjNXNk3HVf1ga0AlXdzEjvXjkClsGTphO/UCOwOw+eAlRsxcS2igOzG/PF5VdFGPkfVEE3vgBNHvbePs6YuYtaX3tlMSCe7uXoQ0alA1+f7zJNzf3x83N7dax/GSch0fLj7EwnUnsFgEHhsQzmfP96Ke5y00ZmXxCLu6YTIbeU3emxg/E1pb8fcXZOPPAJdu9HfpVk3bajYbOHv0K44f/BiTUUNA8MN07f8l7l43BMa6PDgwEErOi+NZqy+qjWlms5mcnJwqbUpGRkY1GpazszP+/v5V5+/u7n5P5y/FBZfYvWkS+dmncPduQd8Ry3H1bMpHH7/PGNdfaOpWiGBbD23Qcwhxn2Mr1ZDTaAF+7Z9BbzDz1qJ9fPnrMextFXz5Sl+eGNbq/s2v7hCCIPD01XeIqTjN98Ef09mpTbXPy6hkA0cxY2E4HfC8xfOsLnigAUdsbCyPPfYY8fHxVe+1a9eOuXPn0rXrzX3+XfzcmZW5/K6OqamU8ssqXy4n2RMcpOWJx7JxdKip9izNLuLgV1s48t0ODBXaWlr6h0GmAEdfcPLBxsUHibESe2MBdqYilAoFcrkcmUzGxYsXAdgavZO9RSdp2L8FUoOGkvMJpG09jLKgmLGj+1JRlkFS4gk05ZnY2pjRG2VU6hRotArcPIIZOGQCjuoAfl6ykf0HT6PVy+FPAcu0adN47rnnABgyZAhXr16t0eX58+dXTeabNm2Kg42F7uEKBjStpLNPFjLJX/splmkF0osgo0ggvUggvRAyiq+/l1kMptqEvjegTagLXdo3x69pH7o/3B+zo8Bzie+hq2dFOKeDRYWgFWo9p9qwZcsWGjZsSFJSx+5RnAAAIABJREFUEkOHDq11mz++p127dvHKK6/U+LxrhBffTdBBcSyFFl+e+EXOlYLqvM8+ffrw5ZciR//ll19m9+7dNdq5m+/ppucUFEDp/idxzl9NZqmc6et9ufynPt3unIKDg9m6dSsAixYt4ttvv62xzT07p3nz6NHKk4t7PiVAvx031XUxY26pwNe7rHy7z0pZLbd+PRd4ub+UJ7tLcbK7PwOFxQr5FXJyyuXkVioob+PDVQeI8OjLnrmxnIjPpUwn5c/33M2+J1s3BwZ9Owk3WQ62scfQJ8dgNmmxCvDKrH8XJaMuuNtx5Y+AY9GiRXzyw05yFC2RYKWe8SRO1kz69OlD3759OX78uKgDO3WKlJSUam1MmzaNac9NI54M9urOILdVcG75YY4t2IHFIFLabns/SeCt9R/zuyyKc5UJCFYBYnWwvRyuGlHY29B0dAe69fdAu+FTUNhwvLIrW78+hLay+g+2W7duLFu2jO3bt9/f+6kOz4iVK1cilUq5cOECsbGxqFQq4uPjq1VwvvEZYZWpKAweSVGD4QgyJd4V54j5ZDAxxxOY8G4krubLeJuq1+S6n+cUGlhC51Y56A0ydkQHsmT5Lho2bMimXccZ9dZ2pJgJMuxDKYjBvUQq4b1j3/H59K84s2RjrdelLlCpVISFheHv7096ejo5OTkoFAoEhRqNbRjlqsYgVdA4yJ2Zj3Vk4+IPSElOuuU5NWnajBJZAwoUzbBIbFBZi/A2nmHP5iW3Hp985Dy+eDoZKauYkxNDgcKGR9WtKDhuhKNaSDfd8llua2OmbdN8QuuXIpHKCG/7LNv3mdm5+zC+ahM/jcsi0NXEgoNuKCLe5rnnnr/l9zRv3jzatm1Leno6CxYswN3dHSen++DQJ1hRCidRWfcAFgySThik3UXXKkBrhB8PW5kYFsunnQ9jL9djFSR8fqQJq6KM6CTOZCvbY5CqeSjcjxUfDeflaZP/2pj7F+cRtX5PbjL43Ae0Vngjhz5dele7n87lJTL0l6cxVOjYOO4bNDml1e6nO0GdeBDt2rXjxIkTt32vLrgxsqst3pk/fz7z58+/vo3JiuFCERarleLiYnTa6la3LVu2xNtH1APs+H1Hjfb6+p6hkdsAfjvuwLwF9endaD+ejjXFfa9+8TbPvvUCa+csZfu3G9CW1Mbb/ofAYoLSNChNwyAabKEHiv60iUIuoVGwF64uSmyVOuSSUgp/tuLmLODiBI0dQeYLp6MviDtInajUySkoUaFSWnCwM+Gm1iOVnuXITvEh72MH4weA1UpVQKLRKbBUbOXcCSlO6gDsVeUoFRaMpuoTJKMVYlL1RKfqSG/9NjqXME7YqJldAB4lRUxy3kIPx1iUcgmCVUBvuO43ajJbKSw1UFiip6zSSn6xnrySCvLLKigsMZBfYEGnuzeTqVOJJZxLOsz0vtGobH+gVBLIK4Z6bDdZOdcC7OY0IGSHG5JsM1lZWcTFxaFWq7Gzs0On09X6m75bSBAY16aMV3tehWIBmsxkfYwnVwp+vGfHuGvIlBQGvcuXS/fxTt98Vk3K4O3tXuy+9AC84uuIABcj/ZpoaZ79FMqiXFoCFTKBYzkOXEyTsj6qkn1xBsy1BKJ+XnaMaiuhe1MFTu6O5IYFUyaxwQ83cnNyOXP2um+pjdIGT09PBMFKk6ZNkctkXLmSxJWkKzXadXQLokvfcWDvz9c/R7Jlz2kKNHIsggQUEpjpgSRAxeOeoxjg+zg/lA6lTFezUNbNoCvSsGXqzwxYNAXfCS/TyPARNoeOsWXde3dzCf8VuJtxRaPRYDRZWBOjIUfZBoVVg78xGpVQhouLC46Ojhw/fhx/f38uXrxYI9gAwFbK78SSSj4mjYHfnvuFrOM1J363hADtFeGMbziCrZd28Wb0p0ja2kFbO4QEPabfyjm77BDLZ8Zx1DaUU6um0l61nzZRM1j1wUHObImpaurQoUOEh4czdOjQ+5upvgESiQQXFxfc3d1xc3PD3d29amIDoFAosFgstGzZEh8fH06ePIlOV9OyXmrR43l5Fc4Ze8lrPJlcn040npvBK13qEeClIj23IS7mZGyE+y+ODm9USPvm+VRUKvg9KpDySlE7kJpdylOzDwLgb4hCKVQiAHqnYCStOjOuwRSs+TUnlVXnKJUSHBxMQEAAlZWVJCUlMaCZgfHttcTlOfLTMW/69et30yDKmUuYDKkEtn2EEykVPP7RVlTSZjjJZbiYryKjpnbrwKkUkm16Y5A6Ixd0+BqPo7ak3bx6l5sMOtjBQ/ZI6itZUroRG1tHfrLvwrOVh1kYF8vkTX7oTLfPpukMcg6f9sXJsx+tQtM4d3whvvYq+rZ04PXOGjwcLHyww5P1Z9RMi7j971UikeDm5oabmxunTon1wJRKJe7u7ri7u2NnZ0eXLl1wcHBAo9Fw5MiRWtvp378/ALm5uZw5U92DWi6tpL57DLbyDGRKL7SSYVxJMQHZ1bYb0NSHb061JaqoNXO6HODwhQrWHTNRJA8jX94UkDC4lR2bvp3yt+qPbokiC6wqQfKEG8J4F0iv/nHeuTT2vrmafl9OZOB3U4mcsOiuD1WnDEerVq04ffp6CXqr1UqzZs2qrSjVBfn5+TRq1IiioqI7Tn2vW7eOQ4cOYTQaqV+/Pv369avV7/xWWHaqnKc3FSIBfh7twaMtbz4xMhgMREZGVluNqQssgpUL2kROVJxDLxjxknmgLgkkO6sIe0s2rtJs7Lke7MjkNjio/XFSB+CoDsRBXQ+ZTInVamVfzAWOnIhDaq7AQaalvOzepmUlEglqT0ec/d1xq+9LaGAILQOa0sCvfpUQ0mqxoNcXo6ssRFeZj05bcO3/ArTaAnSVBRgNtQdmcrktKN3QSdwoMjmTY3Cm3OqKRnBFK3HFy8WTEE9bZMVXkZSk0Mjfg1atWpGTk0N6enpV+jQ9PZ28vLx7eu4AHh4eVelnDw8Plq9ej0FT/Rp7Okn4dIyUyV0lyKQS8qXOHHW05ZyNC9aU5khygvlzUCWRSHB0dMTJyQm1Wl31+uc/W1vbuk0EtFliEb/cveAQBA/9IhZX/CciPwaOPAL6PGj6OrT48O8rAqnNhLT1GJNWoywXA+UKk5RkjYlErRuy+h/w69p9REZG1h4c+rWh3sPTOPvNBNwdFJiwsJYjaNDzCJ1xuYFKpdFo+PHHH9HpdDzxxBN3/Fz6A0arkReSPyaq4hSPug/mTb+bF3CqC8xY2MUZUsmnPp70peX9LZr1N+FuxxVf33oED5hF1Nl0erULYu2no3BxUhEVFcWhQ4cA6NGjBx07dqyVppRMLge4gB4jIfjSlaZVRfz+KpJ0aSzN38j2kgOYBTMNVYFM8RzFAJduFGafZtPy/pgM5chGvkJymTtrJswhN72wWhsjRozghx9+wN393lMd9Xp9NYpLVlZWlQWrRCLBy8sLf39//Pz8sLOzo7S0FJ1OR0FBAXFxcahUKgYMGEDz5s1veZwDSTpe3FpIXK4Rd1sojI3m4UAJuxdOuG/BlCAIRO95k1NHvsDNsxnDJ+2qqtpcWqGn4+M/cym1kA1fjKFJs2BWn9WwOraUKzsWQfTXYL0+4VepVLz++utERERUjTU1KD/pm+DIWHBrB7333VGdozKNnh82xrJg9TFyCjWoHWx4dlQbXhjbHh93R1KyxJosG/cnoFTImDHhId6c3BlH+5rHKDSVsLv0CDtKDnGmUpzbqSxKfDLVhJT483SXSYQ0DIHzH0LcJ+A3CLqshzvQrQqCQOL51SQeeJm+rsUopBJKQt7Avd1HdW7jfiPx/Br2b3sWg76UZq2foGv/+Shtbj5XfGvRPj5bEsVrEzvy1IjWTHxvMzHnM2jSwIMVHw2nVdg/30JeEASeuvo2RyvO8EPwrFrrzZ0hmRgu4Ycbg2h7VzXfbhlwzJkzh9mzZ1NWVoaz83WxsVarZfz48fzwww93fMDu3bszefLkKnHf3LlzOXbs2C33+SP1rdFo2L9/P2fOnEEikdC6dWt69OiBnV3dOf8n0vUMX55LdrmFV7uq+XyAW636h7+K84VFvBa/hAyH/QCYsx7icdeJPN/WH6mpmOz0GLLTo8lJjyYv6yQWi8iHlErlePhE4BPQCZlUQVJKPBcuXcBRWYJKqqG8QqCkDErLoaQMSsqhtEJCWYWckjILRmMtPvH/D2Frq8Tb0xkvT2e8vJzx8lTj7eWC97X/PT2dUdncMDmQBTDqnV2kHVgOQvUl71ZNA/jquWZ09k0GzfXVK53MDpN9a0rkjck1B5Gh9aKkXEdZWRmVlbULe+VyeY1gpGnTpnh4/KkqbepaODldFNMFT4HWcx9Mldm/Am0mHB4jVqGvNwA6LgPlX+N81hn6AnHgTluHkB+FBIEygw2Hsz3QSbLJ1Rtw8R/H1j0GNmzYVGsT3fsO5qjXYzg2aMOx5/0IdhN/H1HEc45UOhJGS6pbc1osFlasWEFaWhrDhw8nPDz8rrpvEszMSPmU/WVHGeHWlw/8X0B6DwI2C1b2c57LZOOLK8O5y6rz/3Dczbgit3XG0vRlXn60A7Nf6E1ZWQmbN28mMzMTDw8PRowYgbd3TSc9IyaOkMAlMrFBQTea0Yj7M6nINRawomAz6wt3oLXq8FK4M9FzOL0sgexcORRNRTYeA2eS26QtO56dw75V1VkHnp6eLFmyhAED7r4ujyAIlJaWVgUXGRkZ5OeLOiODwYBWq0WhUGC1WjEajZSWlpKVlVW1reFPmeoAH2fee7obwR4WTCYTXl5eNG7cGIXi5oGaxSpwIsPArkQtlSYB9JUMCrOlW9OaVbxvCpUn1Bt0W3MSq9XC/q3PcCH2J3z8H2LohO2o7ESXOaPJQr/pKzlwoYCBI3qTKXHlXI4RStKQ75qJOeN0tbbatGnDihUrajUXqEJZAuzsBHI76H9MNHa4CxiMZlb+fp45K2JITCtCqZDRt0Mwu49fxWC0MKKHWHW+gV/18y83a9hXFsPvJQc5XnEOK1ZspTa0ljRFedqMc4aK8MbNGThwILa217QzggAxU8RCs6HPQ5v5tfToFsjZg3BoNFarie1ZFlLKDTQIG0rX/vNwdq27xeq9hl5bzP7tz3E5bg129p70GrqY4MZDbrufyWyh89QlnLiYhZ1KgVZv4uVHO/DJtJ7Y/sMMGm6FHGM+wxKewUFmz+bG31dzrQJRE3yIi1wknTD86Enzm+qAb4ZbBhwlJSWUlZXx7LPP8v3331e97+TkhIvL3bkKJSYmMnnyZIqKinBycmLZsmU35az9gRvFfTk5OezcuZP09HRUKhXdu3enTZs2yGR1i7RvLLyz5lGv29a6qCvO5xiYfbCUNedEx6nwhvn4td1IGhexl9rytPejTPAYglJ63drNbNKTnx1Ldnp01Z9ee50cZWPrSWaJLdmldnh4BDGib3fc3IJwdA7AUR2Anb0nEqkUQRAoKiqqGhhSUtOIjkvhVHwKGRkZWMqyQZMv+kr/iyGVgNoJnJ3AxQmc1ddencDl2v+2qrtziG3QdCxvx47mwrp5kB5T4/OxY8fyxYczsJdfIPrqNwRWpNFMr0H2xzWVKsQq6x4dsbi2p9ymKaV6JeXl5ZSVlVFWVlbt/z+EnwqFgqFDh9K0oa8YaKStAxsP6PA9+A2u0Y9/LCx6OD4NUlaCUwh02whOt69+elcwlUPGFrHgZO5eECwYrAq2JDUkMimYAN90fFSxyJSeXMntxeJfIms4wUgUUhoPj2DQUxNYFd+Corx67H8ykIcCRXeXbIqJ5BjeODOch6oVQQKRK3vs2DHatWtXlaK/U1gEC2+kzmFH6SEGunTn08BX76kxgYBAFAmcJ5XnuIcFIf9BuJtxRWKjZtnGwzw2MJzY2Fh2796NyWSiQ4cO9OrVC7m8JuM4m2L28n/snXdYFFfbh+8t1F06UkSaiAVQEAsgolixdyyJJdWYakyMaeZN/ZKY6Jv+pmkSS2KvsfcGInYFVBAFpfe2LFvn+2MVXRcRCZrGfV1crjtzZmdnd+ec55zf83vOUIkSL5zpSydk3NkJqKmo0FaxqmgrSws3UKwtxVYiZ7xFGDZbv6OyJJ3gvm+ij45l75L/8uMLSyi8TXH01FNPMX/+/DqT3W9Hp9ORl5fHlStXOHv2LMnJyeTl5dXes6qrq1EoFJSWllJR0ThpU1Q7EV9MkdDZ5wEmz95iTkKr4SA1HlBptSq2r36YSylr8W4Tw7BJazEzN+yTV6Fh5LwEEgulYG8oQmdnKSIofz0nlr1NTfXNySWJRMKbb77J3Llz6w2k0FQYgo3KS9BvO7j2/sNvUa8X2HTwIvMWx5FwLosgPxe+mD3IqOq5Ul/D/vKjbCs9wKGKY2gELVKRlCjbrgyQR6I+Wk7yyaT6V6F0Ktg71GB932UBtH++YSeYudrgsCiVQ/RGKszcObRjDmlJq5BIzOncYxbde79Z74rC/SDz0i52rnsERWUOfh1G0W/kD1jLGh7QpmeV0GXyD9jKLPjlnVH1Vpn/K7O6aCvvXvuKsU6DeNdrpsl2PXq2cIKrFBJGW7pyb+UC6g04bkipxo8fz6pVq+797JuIuuwLBUEgOTmZXbt2UVFRgbOzMzExMbRp07ALoNIKPLehkIWJlfg5Sdk4zZ1At8b5OwuCwP70Gj45UMr2iwZdat82Vrwabc8Af8OswJ7yeOZnLyRLnYeXRUvmeDxJb9uwOpeFBUGgrOQSIpEYuW0rpFILqqrVPPruRtbsSaGTvysb5k/A16PhQZ9SrWPpxUusTD/B+fxjiNXnoTIXTX4NmtwaKNAgLtCjzK2iuqzumfkHhaOjPe4tXTBrIaXCoQqcRdi6yujlF8botgPwb+nb4OCyoej1Wo4f+pjLFzZhJffgl5qPOH5WgcvxT8i5aqzdtrKy4tVXX+W5l5/no8Lv2V+yj0E6a2abB2JfmgRFRwwrEzewaQMtelz/iwDb9iASIQgCKpWKrKwsNmzYgKv+HLGeO7HUFxs6xLBv/7wKq38EQYCLX8HJVw2deuRS8GjcYNwErRJythpWgLK3gV6FHikJRe3537HWbExvS2wUdLFbhFpZQHZZN1ZsyCY721h7ayWzotvUKGwnenDVJh8dhoBRghnBsrZ0lgfSSdaey7IydFJRnVKqc+fOsW7dOry8vJg6dWqjvpN6Qc9/rn7OhpJd9LeLZL7v60jvgwuagEAGBXVaG/5bcXF1J/1SKr///jtpaWnY2toyatQofH1NBws6dBwljVNcRoqYHnQgCK97nuH7o9yw/P65YC2ZqmxsVXrGJqQgKc4iJPwFugz+iNNJ3/HpY6/w+wnjiaXWrVuzbNkyIiIiEASBoqIirl69Snp6OufOnePixYtkZmaSm5tLWVkZlZX3N4dRJBIxbng0PTv7YGVpRkBAAGFhYXUGereyYO1ZVqTowK4FVmYiHutqw6TOcizq08iXJRvuGfl7DRNuEmuDJMh7PLSMQa3VsHn5aK6m76Zt0ARixi6hUiNhXZKC5aer2JNWjYAIiaAjNtiWQZ7VrPp0Jlu3bDZ6GX9/f5YtW1ZbbfqOCIJBgnptA4R+Ah1ebOhlaxCCIJBTWImroxypVIxGryGu8gRbSw+wrzwBpb4GMWK62wQzxKE3/ex6UJ5jWOErLS2ldevWjBw5sv5kbFUp7IyCijRDIVjPu6wGpP0Iic8Z6m/13QL2N92qsjIOcmDLTArzTmMtdyNywEcEhExFdJ8d1zTqauJ2vcbphK8wt7Ch95AvCOj8SKPkekVl1cgszf5Wqxq3IwgCT6a/SUI90io1WtaTQBEVDCCYtjS81EC9AUeHDh1YtmwZU6ZMYe3atSZ657sVVmoq6qvDodFoiIuLIy4uDq1WS9u2bRk4cCBOTk53Pa4gCHx7pIKZm4qwlIpYOtGVUUENL5Cn0wusT1LwyYEyjl1TIRbBuI4yXultT1dP01kvlV7NkoL1/JC/AqW+hh42obzqMR0/q4bVUBAEgQ9/OsRb3+3D0daKVR/H3jGSVunVJFencVqRwilFCqeqUijT3ZyNshdc0ZS2Jv2yN1UFrUHhztD2Bpvdvj5iMkpqWHstm32ZlaRfNaeg4LrmU6zF3r6Sjl5V+LhX4exYgZmsjGJdEfnqIvI1RVTp6w5YbMRynMT2aPJqMK8S08kzkC4+wbiZt8DN3BlnMycqUbCqfBurirag0CtxNXNiSovRjHMehFzS8M+mMQiCQMrJn9m/dSYadRVHhGns1c9immQL33/+EVVVxlapnp6ezJs3D0UfMV/kLsZGImOBzxtE2AQblsoLj0BhvOGv6vLNhuaOhsDjRhBiF4DqxFwsrvyISm/OKfFkQsZ8hqXVg7V/bHLy9sKhhwxFH4Pfg8A5jVt20msgd7dhwJC1CbRVCIjIk4Ty/Qk/vjriQaVWzrQh7RncZjtXz/9EbpE1O4+05PQZ4wRekUjEo48+yocffoirqytqrcCgX66QWH6BUT1ysW5xmTOK87XF2QBaWroRIQshVBZAZ3kgnubuFBQUsGjRIiwsLJg+fXqjvOAFQeCDrG9YWbSFKNtufOn7Fmbiv29n9XfDzc2Nl156CaVSSXBwMIMGDaqzbkERFezmDMVU4oId/Qk2CT4fNDeKmv6Uv5oL5UkMPHIS96JS3AJHEhu7Gl32JpZ+MJEXl+qoqrnZb4vFYnx8fMjOzjaSOjUFlmbg5WKBl0cLPL1a4+Ufgmfrjnh5e+Pp6cmxY8d47bXXyMkxDv5tbGwYMmQI/v7+uLq6Mnr0aDw87jyIqVFp6TD+G/Kxwy08miulOnwdpSwY5sSoQFn9g0VlPlxda7iXFBnqtAhmdlyulnA6twB5+yco8fmElWeVbLtQjVoHEpGAriALH0kZCfMHEbd3K9OnT6e4uNjo0E8/8zSffvIpMlkD+qnkTw2Vq71jIXLZfSnYqhN0HKs6y7bSg+wqO0yFztB/Bcs6MMShNzH2UTibOaLT6di/fz9xcXFIJBL69+9P9+7dGzborrwMO6JAW2XIP3HqarqPIEDyPDjzH5D7Qb+thpzE29DrdSSf/In43W+iVBTi6tGV3kO+oKVXjz96KeokP/s429dMprToIh7eUQwcuxg7h7/nykRTkqPOZ/T5p+8orQKoooY1xKNEzdMMavCx6w04vv/+e7744gvS09Np2bKlcUORwZ/8QdCQwn/l5eXs3r2bpKQkxGIxYWFh9OrVq97CNzc4kK4kdlkehQo97wxw4K1+DojryetQavQsOVHJ/APlXCrWYCkV8Wg3G16KsqeN890HDAWaYj7P+ZlNJXuQIGZii+E84/YwdtKGDVo2H0rloblrqa7RsODFgbwwMYwyXQWnqq4HF4oUkqtT0VyvNCxFQntrPzrLAgx/8kBamBl0qcUK3fVZnEr2X65BEAySJf0t3wpXBz2e3lX4+Sjp72PHRDc/5OI7X9cqnYI8dRG56gJyNYXkqQvJVReSWZXF5fJMqi1V6MWmXzsRIsSI0KHHz9KLR13GMdQh+oEPwspLLrNj3TRyMg+TL/ixz+pzFk4IYcH/vcUvv/xisn9kZCTT/u9JfnL4HYVOyWyPJ5jSYpTxDVuZdz34uB6ElJwyqQQtOPdgl+IhjpzLxcnJiYkTJ96XhM8HSuVlODgOypLAaxxE/GgiZagTQQ8FhwxyqWvrQGXo3HX2XTlQEsacDbacyBRjK7NgxtguTO4j5eSeGWRmprLvmBsH4vNNJki69OjKD199T2hoqOElBIHHVxfy8/FKZoTb8r/RhmROnaDjiPIsvyp2UKooorjK8D2+gaPEDtt8S+wKLJkWMYk+Pj3u+TsqCALzsxeyuHAdYfJgvvF7F0txw5NFm/nj2NraMnfuXIYNG1bn5JkegdNc4SipCAh0ow1d8DMq4vdnIwgCJxRJ/JT9GxZ7fsI7t4DyVn5Ej/2ZXpU5XN4whWk/iok7/8eCC7FYREtHKZ4OWrycwMtJhKezOV6t2+Lp3x2voP44tR2I6C45ElVVVXz88cfMnz/fJODx9PQkOjqaNm3a0Lt3b6Kiou5YU2Td3vOMnbOKR0eGEtArivd2l1CpEujbxorPhzvR0b0Bv6WqTFQXF1KV9BlOUoO0NV/rzKqyGFaWDcWqZQSd7VR89uUq3Ows2PVlLB+/P5fFixcbHcbe3YklP/3C8EHD7v6aALl7DHUnbNtDzGEwa/rg9UJ1Os9dfpe86/etdlatGeLQm0H2vfGwuLnKWVBQwPr168nLy8Pd3Z3Ro0cb5xI2hKJE2N0fzOwg5hDIfW5uE/Rw8jW48Dk4dII+mw0rHPVQoywjcf/7nE74Er1eS7tOD9Fz4Dxs7BqX33I7ep2WxIMfkrj/fRCJ6NHvA0IjX25U0eZ/KjekVeOcBvFOHdIqMEzErOMI04mpc3tdNMilKjY2ltWrVzf8bJuYe6k0fvXqVbZv305ubi4ymYy+ffsSEhJy12JIV0s1jFqcx6kcNaMCZSyZ4IKNpXGb0mod/ztSwZdx5RRU6XCwEvNsDzuej7TFRX7vlZbPKi7wcdZ3nK2+iL3ElufcpzDOefBdJRWCILD3chLPLltGpWMu7sEaamxuSnhsJDKCrTvQWW4IMIKs22EtuXvglVOuZfW5KnalKvFzMiPSx5JIH0s87KQUUs4hUsilFAukdMOfILwb7FRw+fJlVqxYgSAIjIsdh5NvC3LVheRpDMFIrrqAPE0hWkHHWKcYetl2b5Kk2cai1+s4GbeAw7vmotMLpMhn8uWsD0k5e4YXXnjBJCFVJBIRO20CpY9KyLEpZrhDP972ev7Og0httSG5ujAOSk5Ci0ho9zyCSMzRo0fZuXMn5ubmjBkzpnHVqv9KaKrgyONwbb2h0+m1xrhTuoEgQMkJw+xj5mpQXp8JtQugssUovjvhx/+tyqa8SoW7s5xZD4XzxMhOXDixgPg973MwUcSeeCmKauOsiCyqAAAgAElEQVSBjH1LR76e/yUPTXzIKAj8YE8pb+0oYXA7azY94oZUYthWlytVnrqwdqVwT9Zh8i1Kas3JLETmdJS1JUQWSGdZACGyDnedPPg6dwnf5S0nVBbId34fNOj32UzT4ujoSGZmZp2rUxVUs/t6ET97ZPQnGFfs6zjKX4cLijTWr52EVdoJcp0cSO8zirkiFzqeWcD8PY7M/a0ErcbUMhUM18LTsxVe7vZ4OoKXbQVeVtl4ykvwchLhbg9mcnfjlVnHEENeRCO4cuUKr7zyCmvXmtaqCAwMJDo6mpCQEEaPHl2nWkEQBPo9vYT9JzI4vnQ6Hh4teHN7CT8dr0QEPBVuy3sDHXGW1d2X6vQCO06dJWnLMMw1WZwQz8DP1pLHWmzFS2KQ0KotWvFtog+rLgXxxNho3n3zJTIzM42O0yU2ihXfLqWNU8NUClRlwvZww6rtoCNg69+wdvdAujKTRy7NQaFTGpzNHKPxs/Qy2kcQBBISEtizZw96vZ6oqCh69erVeKny1XVwaBLYtYeBB8Dc3uDWdfQpuLzU0L9Frzc830BKCi9yaPvLXEndgtTMmm5Rr9Gl52ykZo1f+S8tSmX72inkZyXi7NqRmLFLaeEe3Ojj/VNpiLQKIJNCvGl4gPpAC/81lnsJOMBg23vmzBn27NmDQqHA3d2dQYMG4eXlVW+7arWeJ9YUsvx0FYGuZmyY5k4bZzOulWn57FAZPxytQKEW8LSX8nIvOx7vZovc4o8NivWCns2l+/gs+ycKtSX4W/rwWqunCLMJqd1HrVeTXH2JU4oUTl//K9GW39xeZIFVoQvPRsQQ7RZKG0vv+zJYFxC4RB7xnKeKGhyQEUnAXb9w58+fZ+3atZiZmTFp0qS7fg5/JQpzz/DLz5MwU56nwjKU56Yvx8HZn99++405c+bUKQ/o+Gw4paNFdLRrxxe+b+Fmfo8zRhgCtDVr1qBUKunTpw9RUVF/meqkjUIQIPljOPMOWDhCz+XgFm3YdkNfnbn6pgOYvDV4x5JhPogP15ewePMZ1Bod7X0Mha4eHtwRRXk629c8zJ59J9i8z5yCIrXRS4otJTzx0nQ+e3O+iZPdrycrmbyigJCW5hyc4WE0uXCY85zhSp2uVAcOHGD//v20C26PV19/TivOc0qRzBnFBapvkWH5WXoRKgskRBZAZ3kAnubutZ/fj3kr+SL3F4Ks27KwzYf3XSrYTN3UmRuIwAWyOMR5NGjpiDcRtMfsb2InLOj1bNv6NKlHf6DE3o5tPUKZolLyQvYJksp9WZ03kkuiMvC0onVLN0bLHWhrfg254iQUHTVIY25gF3Az76xFpEEG08T3oH379vHiiy9y9uxZo+clEgndunWjX79+jBw5kq5du5rc/86m5dP54e/p0cmTgz8adPcns1TM3FTE4Ywa7K3EvDvAgacj7DCTGHLmEq6qWH66igOnExinmYY15cTLP6F72KNMCJbj4yCF0tMoLiyjPGkpTualzF2tZ8E2PbeOlKzt5MR+M4M3H5qFv8hY/XFHdDWwM9owwdR77X0xA8msyWZa2iuU6Sr5wvctetuZ5pKUl5ezYcMGMjIycHR0ZPTo0bRq1QSrB+c/M+TtufaB3qsNTlZZv0PLIRD1m8GJqxFcSd3GwW2zKC26iI29N1Exn+IfOO6e+kNBEDh77DsObX8ZrbaGLpGziej3PlJp86rynchR5zPq/NPYSuRs6PBtk/RT9QYcU6ZMYenSpXTr1q3OD7cxhf8aw70GHDdQqVQcPHiQhISE2toh/fv3x87uzladgiAw/0AZr24rwc5STExba9aeq0Krh45u5syJtmdCsBwzSdPeeKt1Shbmr+KXgrWoBQ397HrgY+HBSUUyydVpqAUNABLEt8ijAulk1Z6vFp3lo58P4+YkZ92n44no5Nmk53Y7GnSc5jInSUeLHm9a0JMO2Nehaz558iSbN29GJpMxefLkRtco+DNRq5TM/eZl3Eq+A4kV/YcuoGO3p1AoFMybN49PP/3URB7QwtcVq5keePdpy+et5xIqr9sxR4eeHEpwxAYZxje/0tJSVqxYQUFBAQEBAYwcORJz88YZG/xlyNoMcdNAV22w+y1KMMitAKzcDZpm7wkczXXjkyVHWL//PIIAEZ1a8erUSIb3aodIBGeOfsPqZbNZs1VFah312AKGh7Dmi+V08DW1pNx7qZrBi3JpIZdw9LlWeNjdXJ3MpYR1JOCKPWNuc6VKS0vjt99+w9XVlccff9zIgUYr6EhTXqldBTmlSKmVMwA4SR3oLAvAQWrH6uKttLX05Wf/eQ2WUTbT9Nzer1SjYj9JXCEfGRb0pRNe9zB791dBEAQSD/wfR/a8hcjOlW09u9GvKp1X8i9RKPdE6tIL89KTWJVdRHzDXU9iCU7dbq5eOIff1UK2qdBqtSxcuJC5c+ea5EXIZDL69OlDbGwso0ePNlmNevqjzXy39gQrPxrH+AGBte9/1RkFr2wt5lqZlg4uZgxuZ826JAUZpVr8REeZbv4UZiINoUN+pXf4WKNjVtdo6DtjMUcTj+Ot2ELmVeOxR+9gGS8sGIFX+HS6yqIb9iYFwTDbn/4LBL1uqFPUxGSr8pmW9goFmmIW+L7OAPuet52CwNmzZ9m2bRsqlYquXbsyYMCAputTBAGOzYS078DCySCD9ZkEEQsbvRJ2A51Ow5mj35Cw7x3UNeV4+PSi95AvcHEPuWvbqoocdm14nMy07djYexMzdgmtfHr9ofP5t7CqaCvv3UVadS/UG3CcOHGCLl261BZBup3evf+4jVtDaGzAcYPi4mJ27txJamoqUqmUyMhIIiMj67Ws236xmkm/5VOm1BPd2pI50fYMamd932eZs1R5LMhZyK6yOADkYmuCZTflUR2t22EtMV1SXLUrmUff3YhWp+d/rw7h8VGh9/U8ASpRcoQLpJGLGBGd8KErbWqLX8XFxbF7924cHByYPHkyjo6O9/2c7hdKjZ6JX68juHgmjqIcfPwHM2D0ImQ27mRkZPDKK6+wZs0ak3a2PVxwf7kD7/eaQ6yzwZJUj0AOxaSRSzp5qNBggxWjCccG489WrVazceNGUlJScHFxYeLEiY22pP7LUH4eDow12EGaO4DXGPCegNCiJ1uPXOaTJfEcPGmQLgyPasur0yKJDDGsilVVZLN26RQW/rKP+JOGive3ImtvzwcL/o8Xhzxj8rKFVTrm7ihhYWIF1mYiDj/jQXDLm0GeFh0r7lDgr7S0lB9+MFR3nz59eoM+g1x1IacUydcDkGRSlRno0eNr4ckv/p/gZPbXluj807m1X7lCPvs4hxI1bXCnN4FY8vcO7s8kfsu+zc9iLXdHNnIu+uyfmJJ7BoASiTnptp5cdvalxC2Ebm4P08U84IG7bt1KaWkp7733Hl9//XVtEcEbuLq6MnLkSF544QUju+PCUgVtx3yNrcyC82uexfoWh6BqtZ5PD5Qxb38ZSo1AKzsJj3gdxjn9Ccyk5ox4+Hda+RqPYfR6gXGvrGT9ykWI8/aj1908DwsLM96ZEcTM8HSsdNdXM1v0BJ/x4DUWLOsJTtMWQuIzBlve6I33VCyvIeSri5iW9grZ6nw+9J7NcMe+Rturq6vZsmULKSkpyOVyRowYgb9/08u50GsN9/acbdDuWYNlbhOqLaoVhRzZ8xbnjhvuxUFdnqRH/w/uaGGbmrSavZtmUKMsIaDzI/Qe8gUWlvU4bzVjhCAIPHnpDRKqTtcrrWoo/0hJ1Z24dOkSO3bsoKioCFtbWwYMGEBgYOAdg4isMi3F1TqjQcmD4qLyCoIg4G/l3WBP/jOpeYx8eQWZueU8G9uNz16OwUx6/6UAOZRwmBQKqcAKc8KEtmTvvsCR+CO4uLgwefLkRrn4/NUoUujo9VUKnSveoZtkHZbWTvQb8T3+gYYZsgMHDjBz5kzOnDlj1E4kEeEw3osprz/GyMBRZIgLqcawIuKEDW7Yk8w17LBmNOEmvv6CIHDo0CH27duHlZUV48aNo3VrY6nP3w5NlSHwcAhGrZewYkcSny6NJym9ADOpmIcHd+KVKT0IaH2zI0k+9Rvvv/0Ev+9WUq00PpzE0Zyo2TGsmPUTrpbGifZqrcA38eW8u7uU8ho9vXwt+WqUM51uSyyN4zynuUIE7Qm9RUql0WhYtGgR+fn5PPzwww223r6dKp2CVGUG7a1a1zlp0MyDpVWrVlzOyiCO86RwDQuk9CKItjRQIvM34OLZFexYOwVzC1uGP7yJfFEGp1XX2K8vJEl5c+VchIhWVi2JkofSRdaRzvIAXMzu7vR4Pzh//jyzZs1ix44dJtsCAgJ4/vnneeSRR2oNYb5YnsCLC3bw7lPR/OdJ00nQ3Aot2eVarApXsnvj41haOTJ66nZcWppOyj351hIWfv4WVF01ej40NJQvlv6PpIBSZDoYn1OFRcY6yN4COiWIJODWzxB8tBppXPC0KBF29TEU9Rt0xCApbUKKNKU8mjaHK6os3vGcyThnY9egtLQ0Nm3aRFVVFQEBAQwdOvSeiiXfMzoVlJ0Dxy73xX0LoCD3NAe2vkh2xgHMLe0I7/M2wd2fRSI1TBLUKMvYv/k5Lpz9FStrZ/qN/IE2AaPvy7n808lW5TP6wtPYSWxY3+F/f0ha1aCAIyMjg3nz5pGenm4087B3795Gv/C90FQBBxiKGh0/fpz9+/dTU1ODl5cXgwYNwt39r19+viEUlVUz/rXV7DueQe9Qb1bPi6WFw/3XiAsInCeLBOEiSpEaba4C6xNKJveLvVmh9B9AaqGaiG+y8dNuZ6rVW2hriukQPIXoYV9hYWmHTqdj0aJFvPnmmxQVFRm1ldib0WZmV1549TW6WLXHH3ccMQRiSWRygGQckDOaMKwwDXJTU1NZu3YtGo2GgQMHEhZWdx2XvwuVChULN5zkv78lkJVfgY3MnKfGdGHmxHBaud6chapRlvLZR+P48ru95BUaH0MkFeHykB/z3v6Yqb5jTK7HtgsKZv1ezMVCDV72UuYPc2JcR1PrzFxKWccREymVIAhs2LCBs2fPEh0d/cBWdZu5/7Rs1ZJ5Wb9RQTWtcKIfnZDzz7lX3SAjbTubl49FJBIxbNJ6vNsMAG7mBh5TnGOXIoErigxqtDcLY3qYuxpykK47G7ax9GrSgpT1IQgCW7duZdasWaSlpRltk0gk9O3bl88++4zAwEA0Wh2dJn5HZm4ZF9c+h6ebqWT6ZPxnHNz2EjZ2Xox5ZBcOzsZGHIIgMOWZ//DrD5+A/mYumFgs5vXXX2fOf15jg/kxFKgYQ/hNAwFNpSFPIWMV5O40OA+KLcBjEHhPMMjUdkaDutiQTO3YuUmvU7m2kkfS5pBWk8HrrWbwcIuRtdvUajU7d+7kxIkTWFhY1Bbx+zv3GbciCAKXktdycMdsKssycXBuR6/BnyGVWrBj7TSqKrLwbTeM/qMWIpP//aTcfyVWFm3h/WtfE+s0mLe9Xmj0cRoUcHTv3p1+/foRERFh5GIwdOjQRr/wvdCUAccNqqur2bdvHydOnEAQBDp37kzfvn0bVIm1qRAEAaVSaVJ9uqKigoqKClxdXYmIiLhnCY1Gq2P25zv5ckUiXm52bJg/gc7t739ApdVqWbNpHddcK7EOdwOJiDa404P2JlKhWxEEgaNJ2SzfcY4T53Nxc5Lj5WaHp6stXm521x/b4eIoq9eu+EFx+IqSfj/k4G1dwnut3iHv8lZs7DwZOGYxnq37UIaCU2UX+fS9j9nx1Tr0Wp1Re5m/PV9+/gWPDZlq9PxpLhPHBZyxZSRhWGIq+SsqKmLFihUUFxcTHBzMsGHD7loo66+EXi+QcC6L5TvOsWzbOcoqa3B1kvHipHBmjO2KvY3x6s6hvUt44YWnOJ1cY3IseVQL+rw5jK+jP8DLwnhW+mKBmpc2F7P1QjVWZiJe72PP7N72WJmZLu9r0bGSw1SiZDw9cbxFSpWYmMi2bdto27YtEydO/Md01s2AQytnPspaRg/a0xHvP1VOdL/JuRrPxqVD0WgUDBr3K22DYo226xE4Ilxgn+okpYpCRFUqLioucUV1s9+Vi61rTRDuxf3wj6BWq/nqq6947733TKqa29jYMGPGDD744AP2Hr/K4Bd+5aFBHfn1gzG1+wiCwJE9/yHxwAc4tujA6Gk7TexVCwoKGDn2IRIO7zF63s/Pj6VLlxIWEc5mjnGNIvrQkQDukCOpKjE48WWshPwDwC1Dq4ifoPXkP3QtbqdSp+CJtNdJVqbxuGwsAzURteOIiooKsrOzqaiowMfHh1GjRtWbu/p3RqtRciJuAccOfoRWUw2AmbmM3oM/J7DL48337CZAL+h58tIbHK06w49+HxJh27jAuUEBR6dOnUxcJB4k9yPguEF+fj7bt28nIyMDc3NzevfuTVhYWJNUstZoNCbBxO3/v12regMLCwtUKhUikYjAwEB69Ohxz6swP286xYyPtiARi/jpPyOZGBN090aNRKVSsXLlSq5cuUJQUBDRowaQIEklgwIkiAmlNZ3xq3V7EQSBc5cKWL7jHCt2JpORY7D1tbexpLyqhrq+leZmElq52NYRjNjWBiW28gcjf1t+qpKHlhfQyc2MH8O3krhnNlq1AlmPCaj6T0RkZo4l5phdqOaXWV+yb/sek2NEDIti2Re/GMmjjnOJo6Tiij0j6I45psFETU0N69atIy0tDQ8PD8aPH19/Rdg/GUEQOJOaX/tZX80zOKx18HVm1kPhTBkSjKWF8fssLSnguaeGsHL9CXTG8RoWPjJazg7kjbEv86jrWKNZ13Kljvd2l/JlXDlaPTwUIufjIU542t85KLsppWpHKH61z1+9epXFixdjb2/Pk08+2aCaPs38fXBq5UJa1mWjAPOfTFHeOdYviUFRlUe/Ed/TseuTJvukks1ezgEQTRAuGvl1J7a66zu1s25N6HU76FvrOzU1BQUFzJ07l4ULF5rU1/H19eWbb77hmx2lbDmcRtyix+gR7Iler2Pf5uc4d+w7XD26MWrKVqxkxnLLTZs28ehjj1NSbLwa/dRTTzF//nzkcjkJXOQE6QTgSR86NuyElbmQuQaurgfXXhD8TqPed01Njcm4oaKigsLKIlZ67SXfroyAix4EXjQOgkQiEba2toSFhREeHv6vGHRXlmcRv2cu1VX59Bn2NfaOfndv1EyDyVblM+rCDOwlto2WVjUo4HjooYf45JNPmsY6rRHcz4ADDAOiCxcusHPnTsrKynB0dCQmJgZ/f/87/lD1ej2VlZX1BhNKpbLOtmZmZtjZ2WFnZ4etrW3t4xv/t7W1RSqVcuXKFeLj40lPN1iFtm7dmsjISHx9fRt8A0k4l8WYV1aSW1TFnKk9+PDZfkgkTWuZW11dza+//kpOTg5du3Zl8ODBtXVPrlLIYc5TShVyLPG45k78jgJW7Eji/BXDTb6Vqy0TBgQyKSaI0PbuaHV6cgoruZpXztW8cq7lVxj9ezWvnLJK0xlvADu5BZ6udteDEdvaxzeCEg8XW8zNmkYW8N7eIt7eXk5IWzWPjIiDDQsQrl3AwsWPHmN/IKhldG2dkhvygNTUVKNjSC2kzH5pNm++8SZyuRwBgQRSOUk6LXFkGN3qtOTU6/Xs27ePw4cPI5fLGT9+PJ6e99ed7F5JzSyuDTIuZBg+a09XWyYODGJSTBAh7dxMvsd6vZ6vv3yf/7z9PuUVxpGGma0FTk/50nVyTz5p8yodrG/mUuj0Aj8dq+TN7cUUKvR08bDgi5FORPrUL5G5k5SqsrKSH374AZVKxRNPPIGLi0tTXJJm/kLc737lr0h5yWXWLR5IeUk6kQM+omvUqya/wULK2coJqqghGB960L622KFKrya5Oq3WDOG04jxlupsrD63M3YxWQZraov3UqVPMnDmTQ4cOmWyLih5AfFkInTv6E79wKrvWTyM1aSWerfsx/KH1mFvczCOsrKxk1qxZLFq0yOgYrq6uLFq0qFa9cZk8tnESF+wYQziSJrRH1mq1tWqGO40h1Gq1STudWE98j1TyHMsILw5klCoaezt7o3GEXC5vkknTZpq5lRWFm/kg6xtinYbwttfz99y+3oAjNjYWkUhERUUFiYmJ9OzZ02iWb9WqVY0763vkQXUMWq2WI0eOcOjQITQaDX5+foSGhlJVVWUyw1BRUWEy0wI3ZxbqCihuPLa0tLynGYe8vDzi4uJITk5GEATc3NyIjIwkICDgrgUNAXIKKxk7ZxUJ57IY1KMNv30wBgfbptEql5eXs2zZMoqKiujVqxfR0dEm7y0zv4yvdsWxZud5MlMUADjZWzG+vyHIiAz2umepVKVCxbX8Cq7ll5sEIzeeV6l1Ju1EIm6RbBkHJaHt3fFpWb9zkBoNVygglRyuCUUsW+PCkWP2DOqu5otRckriFpO4910QiQjv8y5do+bUVjBVq9V88803vPPOOybyAAdHB2LHxTJp0iSiekURL77IWTLwxJkhdEF6h44uOTmZjRs3otPpGDp0aG0V7T+La3nlrNyVzPIdSZy8kAuAi6OM2H4BTIoJIqKT5x0/67jDh5j+5CRSLmQbPS8Si3Ee643jDF8ebzuRF1pOw0J800Ho4GUlMzcVcTpHjatcwkeDHZnWxeau36k7Sal0Oh1Llizh6tWrjB07lqCg+7cy2Myfx78x4ABQVOaxfnEMRfln6RI5m54xn5jcs6tRsZ2T5FKKB04MonOdrl2CIHBFlXXdDjqZU4oUMlU3f7+2EjnBsvaEyALoKu9IiKzDH84DEQSB1atXM3v2bK5du2a0TSK1ALcIPn2mBlF1Am0CxjIo9lejeguHDx9m6tSpXLli7Kc9ZswYvv/+e5ydDasgpVSxmngkiBlPZL2y4LrOsaqqqt5gQqFQ1NlWIpGYTELeeGxla807ZV8TX3WSSc7DeaPV0/+K1Ytm/hr8UWlVvQHH4sWL6208bdq0e3qxxvKgO4bKykr27Nlj4jYEYG1tXW8wIZfLGxQENIbS0lKOHDnCqVOn0Gq12NvbExERQefOneu1+AVQqbU88/EWftp0Gn8vRzbMn2jkANQYioqKWLp0KRUVFcTExBAeHn5zW1k1a3ansHxnEodOZSIIYCuzIKKPG21iLGjbzYYgqRdhtDOpP9EUCIJAYWn1LUGI6WpJblGlkXRLJIKxfQOYM7UH3QI9ap/XoiOTAtLIJYMCdOgRI8ITZ3x07rz4k4g9aTV8PNiRV/s4UJBzku1rJlNSeB53rx7EjF1itLxbUFDAW2+9xY8//lhn0NqyZUvGTxhPu0nd0Xa1xVfkyiBC71jVPS8vjxUrVlBeXk7Xrl0ZNGjQA53dKixVsHp3Cst3JHH4tMHdxU5uwZg+HZgUE0Sfrr5IpXf+TWRlZfHSrGdZvWaTybaWYd5YzWqFT2BrPvR+me42N6vCZpZqmLOlmFVnFZhLYFaUPW/0dcDWsmG/vztJqbZt20ZiYiLh4eHExMQ09DI08zfj3xpwgMHFZ9OyYeRcjSMg9FH6j/gBscRYdqhDz2FSSOIqtlgxmC44c3fpZrGmjNPXJVgGGVYa2usyLGepAzEOvRji0JtO1u3/0GC5urqa+fPn8/HHH5uoCZzs4ekn+vLOxzuQXH9farWat99+m3nz5hnddy0srfnh+2+ZMmVK7fmo0bKGeMqoYgTdaYWxFEulUhkFErdPSJaXl6O/3bP7OjY2NvWOIayt67bf1whaZl/5iD3l8Yx2HMi7XjPvS4HfZpqpjyxVHqMvPI2D1Jb17b9FJmm449k92+LeiNwfpM3pn9Ux5Obmkp+fX3sjsLW1vevA/kFQXV1NYmIiiYmJKJVKrK2t6d69O926davX7k4QBL5ZdYwX/7sda0szlr03hhG92zXqHHJycvj1119RKpWMHDmS4OBgKqpUbNh/geU7k9h1NB2dTsDSQsqwnm2ZFBPEkEh/LC2kFFPBIc6TTTFmSOlKG4LxbtLl6oag1ujILqjgWn4FGTllrNqdzJbDBkeU6K4+PDI1kJYRUq6ICtBg6DBb4og/LfHDDavrM37lSh09v80hKU/NyoddGR8sR6tRErfrDU4d+Rwzcxm9Bn9GUJcnjDqSU6dO8eKLL3Lw4ME7nmNLP086TuzB6EljeTJwbK204XYUCgVr1qwhIyMDb29vYmNjkcnunztZeVUN6/ddYPmOJPYcu4xOJ2BlIWVEr3ZMjAlicI82WJjXn8yuVCqZP38+H374ATU1xtIBVy93HGb6Io62YYRjf15vNQNbqWEFQqHW88n+Mj7ZX0aNVmBkoDXzhzrTxrnhv82861KqFtgxloja63r27FnWr1+Pt7c3U6ZMaZYl/IP5NwccABp1NVtWxpKRuhW/DqMYHLscqZlpnlIyVzlIMmLE9KMTbbi3XMIavYrk6jTiK06yrewAV1U5gMEFa5BDb4Y4RNPW0qfRwce1a9d49dVXWb58ucm26OhovvrqKwAmT55sMono7hNE/L7f8fHxqX1Oq9OyVXeca+Yl+OTYYpsumKxO3F7o9QaWlpYm8mh7e/vaMYSNjU2j7ik6QcfrmfPZWrqfoQ7RfOg9+4E5hjXTzO3ckFaNdx7CfzwbLq1qUMDx+OOPs2DBAqytrenWrRtpaWnMnz+fZ54xLa51P/i3dwx3QqPRcOrUKY4cOUJZWRlmZmZ07tyZiIgI7O3vLA3afzyD2NdWU1RWzXszonnzsV73JGnKyMhg+fLl6HQ6ho8cTVq+iBU7k9gSl0aNSotUImZguB+TYoIY2bsdNjLTFQwBgSvkE8d5KlBihzWRdMAHlz/NLUZAYM+lVD5dGs+e7dfQ6QQ8/K0YM7U1UwZ0poPUAzl1Jw5fLdUQ/nU2JUo9e6a71+YOXE3fw851j9zRok8QBA4fPsyHP3/KrvU70JWZanZv4NvRn8cnTmPSxEl11uHQ6XTs3LmTxMRE7OzsmDBhQk1lLzUAACAASURBVJPaPVfXaNh8KJUVO5PYGpeGSq3DTComJqINk2KCGNGrHXLr+oul3ciX2r9/Px9//CFXb6viK5PJ6PpMLwrGaHGwtudtz+cZ6BBV23bF6SrmbC0mq1xHgKsZnw93ZkDbe/OUvyGlqkDJBCJrrYnz8vJYtGgRVlZWTJ8+/YE61jXz4GnuVwwVnHeue4SLZ3+jlW8fhj+0oc7CaLmUsI2TKFHTBT/CaNuo+7QgCKQoL7G1dD/bSw+QrzFUFm9t6ckQh2iGOESbOM41hLLiS8x7uxfL1uaSlWe8TSwWI5VKjfMhRBJ8uoxi8X9fRFmtMAomdB3lyAZ6okouoXJNem2TW6VOt05C3ip/arKq3begF/T85+rnbCjZRX+7SOb7vo60Odho5k9EL+h54tIbJFadIanztga3a1DAERISwunTp/n9999Zu3YtX375JVFRUXVKju4HzR1D/ej1elJSUoiLiyMvLw+RSERQUBA9evTAzc2tzjaZuWWMenklp1PzGNOnA4vfHXXXwSLAhQsXWLlqNRnFYsolXuw+kUWlQo1IBL1DfZgUE8SYvh1wtm/YIFCLjjNc4TjpaNHhgh3W90Fi1RAKqUCBIRldnycl4bdSNq5PR6HU4OVmx0sPh/PEqFBkVnVfp5NZKnp9l42lVETCc61qZ9xrlGXs3/I8F84su16E6EfaBIwyab+r6DBPr5xN2fYcag6UoKisW+MLEBYWxqRJkxg/frxJUHHq1Cm2bNmCSCRixIgRdOzYQGeVOlBrdOw6ms7yHUlsPHCRqmrDZ92nq6/hs+7TAUe7O2uba2pqOH78OIcPHyYuLo74+HhKSkrq3LfbxF4IT9ihdNTQztafcV6jsTUzBAOXsiT8sMmalAwpcis9Dw+sYUi4isYsQFSjooByIymVUqnkxx9/pLy8nEcfffRPM8ho5sHR3K8YEPR69m99gTNHv8GlZRdGTd1WZ+XmKpRs4yQFlOODC/0JxqIO6+6Gohf0nFQks630ADvLDlGqNeS1BVr7M9i+N4MceuFmfnfZb2HuGdYviUGpKKTP8O84fk7C7DmvUnqb81QtVq44BY3hyYGu3FKYHBsbG+TtnNEMccJMISIwxQFHm5vJ2HeSOt1PBEHgw6xvWV70O1G23fjS9y3MxH++yqKZZm5Iq44Fr29wmwYFHMHBwZw5c4ZXXnmFsLAwxo0bR+fOnTl16tQfOuGG0twxNAxBELh8+TLx8fFcvnwZMHiJR0ZG4uNjumRdXaPhsXc3snJXMkF+LmxcMJHWrequ+aHXC/y0eg/fr4ojJReqr08WdQ/0YOLAQMYPCMTDpfHWrApqOMJF0smlbuXr/UeOJW1wpy3uOF3XKpdWKPnf6mN8uTKRghIFjnZWPBvbjefGd8fF0VSytDlFwcjFebR2NOPIcx44y26OiFPPrWLP7zNQKUsJ6PwIvYd8YTKbeKzyLM9ffpcaZQ2j06JI2nSCzZs3U1NTtyuXSCQiOjqaSZMmMXbsWBwdDbaUWVlZrFy5kqqqKnr06EG/fv0anFuk0+k5eCqT5TuSWLv3PCXlBn10eMdWtZ+1u3PdksrCwkLi4uJq/06cOFGn08qteHdvS/s3I8jyzEcqlhLpEUWgk6FAVXmlhE3bnUg4brhOvSLKGTqgGLnsj31LvHBmMKGIESMIAsuXLyctLY2hQ4fStWvXP3TsZv4eNPcrNxEEgYR973J037s4OLdj9LSd2Np7meynRcd+krhINvbIGEIXHJrAVlgjaDlaeZptpQfYUxZPlb4aESK6yAMZ7BDNALtIHM1MV+1zMuPYsGwoOo2SwbHLaRNoqMFRUVFBtwFTSD22GYQb9woRIvdI7P0H8OPsCPy9XY2kT9USNauIQ4eeWHo0yfv6IwiCwIKcRfxSsJYweTDf+L2LpfjPmYxrppm6WF74O5NaDG/w/g0KOGJiYvD19WX79u2cPn0amUxGly5dHlhtjuaO4d7JyckhPj6elJQUBEHA3d2dyMhIOnToYDTwFASBTxbH8fo3e7C3sWTVR7H0D2tdu+14Sg4rdiaxdMspCssMutX23o5MHhLMxJgg/FrdH9/1vxrKGg1Ltpxh/rIjXLpWgqWFlMdGhPDSwxEm1+Cb+HKe21BEpI8lu590x/KWYnNVFTnsWv8YmZd2YGPvTczYJbTy6WXUPqX6EjPS51KureQ9r1n0MevOxo0b+W35b+zatQud1tR9Cwx2yzExMUyaNIkRI0YgCAKrVq0iKyuLNm3aMGbMmDtWfRcEgcTkbJbvSGLVrmRyi6oA6NjGhUkxQUwcGISvh4NJm4sXLxoFGLfb/t4JkVhEcEgnJsyYTEKPS1xSZ9LJuh0feb+Ct6UHKq3Al4fLeH9PKZUqgb5trPh8uBMd3Zu+w92/fz8HDhwgJCSEESNGNLu+/Eto7ldMOXXkSw5snYncthVjHtmFY4v2JvsICJwlgzguYIaEAYTgQ9PZRqv0ag5WHGNb6X4OlCeiEtRIEBNhE8pgh970s49ALpFxJXUrW1aMQySSMPyhDXj59TM6TkZOGW2Hvous/CidW9tyvNQXQebFoR8fJaSd8cq/Fh3rSaCAcgYTSmvqVgY8SL7OXcp3eb/RWRbA934fYC1pGmfJZpppKvSC/p6MCxoUcBQVFbFs2TLCw8MJDw8nIyOD/fv388gjj/yRc20wzR1D4yktLSU+Pp7Tp0+j1WpxcHAgIiKCkJAQowT4rYfTeGjuWiqr1bw7PRqVRsuKnclcumaQv9hbQ1gba95+YSwRIab5A/8WdDo96/ddYN6SOI6n5CAWixjXz+Bs1aXDTe3xy78X8d9D5UwMlvPrJBejHBlBEDib+C2HdsxGq62hS+RsIvq+Z5SwmVGTxZOX3iRXU8Acj+lMdRkNQE5RHu+u/S97l28n/WBSnS5XAFZWVgwfPpzx48cjCALJyck4OjoyceJEWrRoUXse5y4VsHJnEit2JnM5uxQAv1YOtUFGoN/NgYRKpeL48eO1wUV8fDxFRXeQLdyGhTl4+1rSpm8XRo18inERw1in3MVXuUtBEJjh/hBPuE5AgpjN56t56fdiLhVraO0oZcEwZ0YG3h85Q2pqKsuXL8fd3Z1HH330L2EK0cyDoblfqZsLZ35lx7ppWFjaM3rqdlw96l7xu0YROziFCg3htCUUvybPv1PoqtlbnsDW0v0cqTiJFh3mIjMGF1rQ4vB6LC3tGTVlG26tutXZ/q1v9/LBokPIrMxQqrT8/t9JDOnpb7LfPs6RwjVC8SOCxhmpNCUL81bxee7PBFr7s7DNR9g0oshaM8381bhnl6o/g+aO4Y+jUChITEzk2LFjtc5WYWFhdOvWrXbWOzWzmJEvr6gt0ubuLKebnzUuZgV0D2zJww8/XK8L1r8JQRA4cCKTeUvi2B5/CYB+3X2ZMzWSAWGtEQQYtyyf9UkKXu9jz4eDnUyOUVJ4kR3rppKflYiFpT1tAsfSruMkWvlGIxZLyFMXMj39TS7XXGO660Sed5+KSCSiBg0bOcql7MuUrErl0PKdHDt27I7namdnR1RUFLZ29sha+GPr0ZG0HBXxZ69RVFYNgIeLDRMGBDJxYBBdA1oiEokoKioiPj6euLg4Dh8+zPHjx+8qj7qBk6MlXm41+HpC2/AOuE6cQKt2/ekvCqFKVckbmfM5qUjG18KTj3xmE2TdlpR8NbN+L2JnqhKZuYi5/Rx4saed0QpRU1JSUsIPP/yAWCxm+vTp9RotNPPPo7lfuTNXLm5h84pxiMVSRjy8Cc/Wfercr5xqtnGCYippgzt96YgZ9bvTNZYybQW7yg5z9MhneCTuRmFlyf6oSLp6xjDEoTcRtqGYiYxfu6paTbuxX5NTWMm3rw1lxjjT4CmFa+zjHJ44M4xutcU//yyWFWzk4+zvaGvpy8/+87CTPjhH0GaauZ80Bxz/MtRqda2zVXl5OWZmZoSGhhIREYGdnR0VVSqWbTtLWy9HijNPcuF8Cq1bt2bChAn3xYHjn8DZtHw+WRLHip1J6HQCIW3dmDO1B0N7dWDAojwSr6n4cWwLnggzzXHR67ScPvo1KSd/pijfIFG0lrvRNmg87TpNwsKtPc9cfpuk6lTGOw/hzVbPIBFJUKJmPQmUUkUvArG6pGHFihUsX76clJSUO5+sVAYOAYidOhHatRs9Q7wZFd2eniFepKdfqg0u4uLiuHjxYoPev1gsplOnTgS2d8XBOg1H2WUc7cU4BQ6ivGcMYg9/uuFPZ8GXDSW7mZf1PdV6JQ+3GMmslo9SXSPlnV2l/O9IOTo9TOtiw4eDHGlpd38GLmD4HSxatIiCggImT56Mn5/f3Rs184+iuV+pn+yMQ2xcNgydtobB41fWaXQBhpoVezlLOnk4YcMQumBL009MCYLA0f3vk7D3bWyc/JAMn8MObQrnqg33KXuJLQPsezLYoTdd5UG1Uo9zl/K5mFHMuP4BJsfMp4x1JCDDglgia63O/yzWFG3jnWtf4mvhyS/+n+BUR95KM838XWkOOP6l6HQ6kpOTiY+PJz8/H5FIRMeOHenRowcODg6sWrWK9PR0AgICGD16NFLp/Rv8/VPIzC3js98S+HH9SaprNPi0tOeJ2Ah+vOZCVoWOrY+5M7AeC9fighRSz63g4tnllJUYVk1s7X3wDRrLGodSDkizGeTQm4+8Z2MmNkNBDetJoJxq+ggdkV615tCpTDbvOsTB3VsoyTgG6rI7vp6zszOxsbG1+T6FhYUNep8ymYzw8HAiIyMJD+uKnVU6qae/oazkEhKpJf6hUyiPHECRowwH5AwgGLFG4J1rX7CvPAFXMyc+8HqZbrIQfjhawVs7Syip1hPuZcEXI5zp7lW39XBTIQgC69atIykpib59+xIVFXVfX6+ZvybN/crdKcg9zYYlg1AqCuk/aiGBoY/WuZ+AwAnSOUoqlpgRQyitMF3VbSyCXs+BbS9yOuErXFqGMmrq9lonrauqHLaXHmRb6QHSajIAcDFzYpB9LwY79CbIum2dckwlKlYRhxI1Y4mgBXZNdr6N4feSvbyROR8Pc1cW+3+Kq7nz3Rs108zfiOaA41+OIAikp6cTFxdHRkYGAHK5nKqqKkJDQxk6dOh9q5z+T6W4rJr/rTnGlysSKSqrxs7VBVXH/kilEuKf9bhr4rMgCBTknODiuRWknltBVUU2AGr7Fpx1t8O+/QA+CPiElIul7D2TzvozSaSeLaeqVFt7DJ+W9vTo1AoP6wpyUo+wZ8fv5OXl3ekl60Xm6I5b++64dwjDrX13nHwCkApV2Bf+jH3hj0i1Regk9pS2eIyMFhO5ZiZBQI8TtrhiT6nVKVKdF6GRVNKiKpw2JdMw08s4dKWGpDw1LW0lfDLEiUkh8nuqB9MYbtQ92bt3L+3bt2f8+PHNSeL/Upr7lYZRVnyJdb8MoKIsg6hB8+kS+fId971CPrs4gxYdPf+/vfsOj6rM+z/+mfRKQgglMEACoSeShC71QUAI0kRFzQJWRFH3WXZdy6rLYltR8/wUdMGVqi6CSpHQXAQEIlIkSEmoIYTQkfRezu8PlrgRCBByZlLer+uaa5mZc879HTfhy2fu+5yjdgpV81s+r6O4uFD/XvKwDuz5XNagfhr24PKr3itEkg7nJmlV6katTv1eKQWX/r5r6hKgIf+5wWCwe3NJUolKtEI7lKJf1F+haqemt1Tjrfo2dbP+lPR3NXCupwWt31Fjl4bX3wmoZsoNHJGRkXrnnXfUoUOHK9676667FBMTY2pxl9EYbOPkyZP64YcflJCQoJ49e6p///78Y+wW5OQVan7Mbr376VYlZrtIYf3l5VSifz9cX93b3Ni3f0ZJiU4mb9GenZ/qSPxXKim8NGNx1r2utu3rpF3Jocoq9FXTNp4K6uipuzuG6u6Ot6lx/V/X/RYUGdp5IkefLv9Oa5Yt0vHtK2Xkpl9jRItUv63UJEJq0unSo05j6T8/B746pb6Oc9XDcZFcLTm6aDTW98WP6Mfie1Wgsic2OjjlqVHE16rbcquK8j10eucYZSR3Kn3f1cmi5/r66vl+vvJyNT/UZmVlacWKFTp06JD8/f312GOPydWVy0zWVvSVG5eVcVJL59+pX87tV+feL6jnwDev2RsuKkurtFPpylFbWdVXHeSkit2orqgwVyu/uFfHDq1Ui7bDFXnfoqveDf23DMPQvpxD/7nB4CadL7p08ZNWboEaUrevGta1KsU1Qx3UTP0UUqHaKsvG9G3638TXVNfJR/Nbv1OhGx8C1UG5gcPX11fOzs768MMPdd9995V5j/tw1FzFxcVyrMgd1XBVRUUlWrIhQX9efFTH63aQMi9qtG+K/jK+u8LbXnkncMMwdOTERcX+fEKxPydry+4TOpB0QQ6WYrWul6het29XKyNRLkXFkixq1LSXAsNGa18Hqwo9PdUzJ0Ipxz0VezxPW47lafuJfOUVXfo1d7BIofUla+qPSotbruT4nXJ2dlbDxlZ16txVjz0xUU2aXHnTu7Tz+xS/7T0di18oo6RIvvVD1b7bnxTY7j4lO6ZqixKUr0K1VCP1UBsdzD2kt85E63ThWXXxCNefG/5e9Z3LLhHwdLHI3aQTwn8rISFBMTExysnJ0W233aYhQ4bIzc3cpVuo2ugrNycv56KWfRqpMynbFNL5cfUf9g85OFy9T+SrUN9qt5J1Xg3lqyGKkKdu7vctLzdNKz4frpPHN6td+HgNHPGJHBxvfmlvsVGsn7L2a3XqRn2btkXpxZmSpCYeTfRg3UhF1u2n+s72ubz7Dxm7NCnxr/Jy9NC84Glq+Z8ZGKAmKjdwhIeH65NPPtHo0aN133336e233y79ViMiIkK7du2ySZE0BtQEhmHoofmJWhAv6UKKtPd7DewapOfG3i5vT9fScPHDnhM6d/HXu4w3D/BRz47N1LNjU/UKa6YOLepr3pmFWhr3rjqcSlXjU2dkFOfLkKOOOfXQ1twR2lsyQPnylpeLRd2bu6lnczf1DHRT92Zu8nYr+4/8/Px8rV27VnFxcXJzc9PQoUMVEhIiwzB0MmmTdm6ZpqRDqyRJ1qB+6tz7eTUPvlOFliJtVoIOKEWuclY/hahZST19ePozzTn3lVwtLvpjk0d1v/9ddpspy8/PL71/kLu7u+666y61b3/lyaOofegrN68gP0sxC+9W8tF/q1WHe3TnPZ/Jyenqs4QlMrRNB7VLifKQq4YoQo109RvL/lZ21lktnX+nLpz5WeG3/0F97nxXlkpY2nu2JFXvZy7S4dRDOp5+TDklebLIoi5etymybl8N9O1ls6tC7czaq4lHXpGLg7PmBP9dbT24cAVqtnIDx+VQcf78ed1///2yWCxavHix/Pz8CBxABRiGoYcWn9OCn7LUyuG8jqz/VkbJr7+Cjo4WdWzVSL3CmpaGjP++g3thsaG4k/mKTcrTyvRvdbrJPFkyXeX9fXuF5sWqjWOsHFWkEgcX+QQOUs/O4xXcdqicnK9/06iDBw/qm2++UU52llo0zZFjwfc6d2qHZLEouN3d6tz7z2pk7SpJOqWLWqeflalcNZO/+us2nco9oxeOv6ODuYkK8Witt5o/pyC3K2dLbCUpKUnLli1Tenq6goODNXz4cHl7c4lJXEJfqZiionyt/WqsDu//Us1aDtRdDyyRi+u178p9WKe0XntUpBK5y0VecpOX3OUt9//686X/9ZCrMlOPa+m8gUq7eES3D3hDXfq8WClfWBSoUF/qB6UrRyPUVX4lntqUvkOrUjdqc8YOFRiFcpKjbq/TSZF1+6q/Tw/Tbra3J/uAHjvykiySPgl+S6Ge9r/3B2C2Gwoc0qVlNs8995yWLl2qr7/+Wo899thNB45nn31W33zzjY4fP669e/cqJOTG1k7SGFCTFBQZGjz7lDYczdNLvd1lJCfIzcVJPTs2VbcQq7w8fr00Y1pusbYez1Ns0qXHthP5yi38dXlUSMh+lXT4p1wsLnq90avqV6eJdsZ/qrg9c1VyfJ9kGHJx9VbLtiPV+rYH1KzlADk6Xv3mdkWFefp5+yf6Yf2bKi44LUNOCmxzr/oN+Zvq1rt0s6xiFWubDitOiXKSg3qqndoZVn16bpnePz1PJUaJJjR6QBMa3X/FNfFtpaioSOvXr9fWrVvl7OysQYMGqVOnTpyPVEPRV2yvpKRYG2Imae+OWWpo7aqRY1fJ3ePa56VdUIbilKhM5SpTucpWvgxd5Z8eZ4+raP4rMrIuKmDYS2rW5XdlAomX3OUqp5s+Ed2QoTXapUSdVU+1VZjK3rw2szhb69N+0KrU7/VjZpyKVSI3i6v6+nTTkLp91LtOF7k6VM4lcw/kHNUjR15QQUmhZgW/rk5e9j2HBLCV6y6p+u15GgsXLtQzzzyj4uJipaam3tRgmzZtUosWLdSrVy/FxMTQGFBrpeYUq+dHJ3XgfKG+/F1DjQ71kmEYSkotUmzSpXMvYo/naf/ZAl3+DfV0sah7s0tLoy4vj6rj5qBtmbv1TOJUlRglig56SX18uipFv2hFxmoZ+7bIe88O/XLy0pcDbh711KrDPWoT+oCaNO8ti4OD8nLTtGf7P7T7x/eVk3VWrm6+atj8bh1MbqiCQld17dpVAwYMULpzrtbpZ/2iTDWQjwaqo3IKsvXS8fe0M2uvAl2b6K3mz9n127qzZ89qyZIlOnfunJo0aaJRo0apXr3Kuzwnqh76in0YhqEf1r2sHZvelF/99rr7oW/lVafJDe1bIkM5ylOm8pSlXGUqT2dP/KjDnz6pkoIcuY1+QcWhPa66r7McfxNC3K54/tuT1H/SUf2ogwpWgAYprNzAcrEwTd+mbdHq1O/1U/Y+SZKXg4cG+PbUkLp91c07TE6Wip3jeDT3uB468mdlF+fqwxZ/U4864RU6DlAdlRs4/vrXv+pvf/vbFa/v2bNHzz//vFavXl2hQQMDA2kMqPWSLhaq24yTysgrUWRbD209nqfTmcWl7zfxcSw996JnoLs6BrjIyfHqjXJv9kE9efRVZRVn6/Xmk3WXX38d13mt0k65yll3/FJfZ/au0ME9C3Xx/KUbA3rVaaLGzXvr2MEYFRZkyauOVRG3/0EhnR+Xi6u3UlNTtWzZMiWfSJb/gJZy6FFPhkXqomBFGC0Uc3G93kz5h7JLcvWA/zBNbvKI3B3scyJ2SUmJtm7dqvXr10uS+vTpo969e3NJ51qEvmIfu2KjtWnNH+Xt21x3P/Tv0tnQm3H8yLda8a9RkqS7HliiwFZ3qlDFyv5PGMlUrrL+E06ySp/nqkglVz3e5aVb3nKXm1yUoBOqKy+N1u1yuYk7oZ8uOK81qd9rdeomxeceliT5OflokG9vRdbtqzDP9qU3GLzuZ8w7qfGHn1NacabeD3pFfX263nAdQE1QbuBIT09XamqqAgMDy7x+7Ngx1atXT3XqXP1a2NdzvcYQHR2t6Ojo0udZWVlKS7v2DcyA6mp7cp7+Z9Yp5RYZCm3kop6Bbur1nxmMZr5ON7UM6GhesiYc+YvOFl7QS9Yn9WD94UrUGa1RnDzkqlHqrjqGu345u08H9y7Uwb1fKCP1mOo16KBOvf6sNqH3y9Gp7LKBtJIsLcuMVbZPsYov5Kl1cl11CQnTaykfal16rOo7+en15pPVs06na1RlvtJglJwsf39/jRo1So0bc2nJ2oa+Yj/7d83TuuWPyd29nkaOW6MGjW/8m/tD+77Umq+i5OzipZFjVymgafcb2s+QoXwVloaR/w4ll2dOspUnQ5KrnHWPbpfvby7dfTOS8lK0OvV7rUr9XsfyT0iSGjnX1+C6fRRZt5/aube85t/XJ/PPavzh53Su8Be9F/SiBvr2qnAdQHVVbuCYOHGiBg4cqNGjR5d5/dNPP9XWrVv10UcfVWhQvokCfnUuq0iujhb5uN/6pYhPF5zT40deUlL+ST3V6Hd6stGDOmI5rW+1W95y1yh1l7cunQhpGIayMlLk5d3kiivAGDJ0QCe1WfEqVJFaZtdX4r9+0p6iA9rVKUk5zvm607ePXmk6Sb5OFfvi4VYZhqHdu3drzZo1KigoKF365ex89XNUULPRV+zraMJyrVo8Ro6Orhr+uxWyBva57j57d3ys71ZMlKdXI40a/638G1bu+QwlKlG28uUq55ua2SiPYRg6mHtMq1M3anXa9zpVcE6SFOjaREPq9lNk3X5lLpZxtuCCxh9+TicLzurN5n/SML/+lVIHUN2UOxe4adOmK8KGJI0dO1abNm267sEXLFigsLAwhYWFae7cuRWvEqjBGng5VUrYkKQAlwZa0OpdtXcP1kdnPtNbJ2eqpdFI/RWqTOVqubYpW3mSJIvFIm+fpleEjVzla7V2ab32yEWOGq4u6uMWorOD8rSl+0EVqki3726j+38ZIB9H+1z1KTs7W4sWLdI333wjV1dXjR07VkOGDCFs1AL0laqpZbsRGjlujSRDS+ffqcQDK665rWEY2v79W/rumyfkW7el7ns8ttLDhiQ5yEHecq+0sCFd+nuzrUcL/aHJI1rbfp4+bfWeHqw/XJnFOfrHmc81LOFx3XNgkuac/VL7cw7rsSMvKaXgjP7a9BnCBmq1cmc4QkNDtXfv3pt+73r4JgowV1Zxtp5JnKodWXs0tO7/6PXmk3XAclKbtF915aVR6iZ3XXn9/CSd1XrtVa4K1EoB6qMOOpB9VC8mvaMTBafV3StMTzjeq9hvNtntcrMHDx7UihUrlJ2drZCQEEVGRsrd3ZzLV6L6oK9UDWdP/qRlCwYrLy9Vg0bNVbuwsWXeNwxDm9c+p12x78m/UUeNGr9Wnl4N7VRt5SkyirUjc49WpW7UuvRYZRb/ei+lF5pM1O8ajLBjdYD9lRs42rVrp23btl1xrkZ6erq6deumAwcO3NRgkyZN0vLly3XmzBn5+/vLy8tLR44cue5+NAbg5uWXFOi5pL9rffpWUJovjAAAIABJREFU9anTVe8FvagDDqf0gw7IX3U0Qt3kpkszAgUqUqwSFK8TcpWT+ipEgSX19dGZzzX77Jdytjjpfxs/rKj6w+VgcVBeXp7WrFmjn3/+2WY31LvWDQpRu9FXqp6L5w9q6fyBykw/ob6R/0/hPX4vSSopLtK65Y8rPm6eGjfvpeFRK+Tm7mvnaitfQUmBYjN36d9pW3SbR1vdX/8ue5cE2F25gWPq1Kn66aefNG/ePNWte+kOoampqXr00Ud12223acqUKTYpksYAVEyRUawpye9r2cV/K8Kzg2a0mKKDTqe1XYfVUL4arq76RRlapz3KUI6ayl/9Faqzuef0wvF3lJB7VO3dg/VW8z+ppXvzK46fkJCgFStWKDc3V7fddpuGDBkiN7fKv1JVcnKyli5dqrS0NLVo0UIjRoyo8EUrAIm+YrbM9BNaMm+QUi8cULd+r6hLnxe1avEDSjywXEGthypyzGI5u3jYu0wANlJu4CguLtYjjzyir7/+Wq1aXbrU3eHDhzV69GjNmTNHjo6Vs+78emgMQMWVGCV67+RszT+/RG3cW2hmy6k64nxBu3RUPvJQhnLkIAfdrrbqYDTVv85/o/87NVdFRrEebzhGExs9IGeHa58bkZWVpW+++UaHDx+Wj4+PRo4cecWV7SqquLhYGzZsUGxsrJycnDRw4EB16dKFm/jhltFXzJebfUHLPh2isyd3yquOVVkZKWp7W5QG3j33mjcgBVAzlRs4srOz5enpqaNHj5beVTwiIkItW7a0WYESjQG4VYZh6JOzi/X+6Xlq6hKgj4PfUJJrqvYoSfVVRwMVpryCXL18/D1ty/pZzVwb683mf1KYZ7sbPv6uXbu0du1aFRYWqnv37rrjjjvk5FTxkzXPnTunJUuW6OzZs2rcuLFGjRolf3//Ch8P+G/0FdsoyM/Uin+N1InE9Qrr/oz6Dvl/V1yoAkDNV27giIiIKA0a9kRjACrHlxdWaeqJGfJ3qqtZwa+rrruf6hpeWpP6vd5I+UiZxdm6t16knmvymDwcb/5E7IsXL2rp0qVKSUlR/fr1NWrUKAUEBNzUMQzD0I8//qjvvvtOJSUl6t27t/r06WOzGVXUDvQV2ykuKtAv5+NVv1FHZieBWqrcwBEeHq64uDhb1nNVNAag8qxN3aznj0+Th4Ob/t78OS2/+J3Wpm2Sv1NdTW32v+pzi3fALSkpUWxsrDZu3ChJ6tevn3r27HlDd/1OS0vT8uXLlZSUJD8/P40aNUpWq/W6+wE3i74CALZTbuBo3769vv76a11rE7OvSnMZjQGoXLEZP+l/j72m3JJ8SdJA3556tekzquvkU2ljnD59WkuWLNGFCxfUtGlTjRo1qvTiE79lGIb27Nmj1atXKz8/X507d9bAgQPl4uJy1e2BW0VfAQDbKTdwuLq6qkmTJlcNHBaLRYmJiaYWdxmNAah8P2cn6P9OzdEovzs13O8OU5Y6FBYW6rvvvtO2bdvk7OyswYMHKzw8vMxYOTk5iomJUUJCgry8vDRixAgFBwdXei3Af6OvAIDtsKQKgOkSExO1fPlyZWRkqHXr1ho2bJi8vLx0+PBhLV++XNnZ2Wrfvr2GDh0qDw8ulQnz0VcAwHYIHABsIi8vT6tXr9aePXvk4eGhoKAg7d+/X66uroqMjFRoaCgnlMJm6CsAYDvlXrOyc+fOtqoDQA3n5uamUaNGqXXr1oqJidH+/fsVFBSkESNGyMen8s4dAQAAVUu5Mxzx8fHl7sxJ4wAqIjMzU6dOnVLr1q2Z1YBd0FcAwHbKneEYOnToNd+z5UnjAGoWb29vtWnTxt5lAAAAGyg3cBw7dsxWdQAAAACoga5/Jy4AAAAAqCACBwAAAADTEDgAAAAAmIbAAQAAAMA0BA4AAAAApiFwAAAAADANgQMAAACAaQgcAAAAAExD4AAAAABgGgIHAAAAANMQOAAAAACYhsABAAAAwDQEDgAAAACmIXAAAAAAMI3NAkdeXp5Gjhyp1q1bKywsTIMHD1ZSUpKthgcA1DD0FQCoHmw6wzFhwgQdPHhQu3fv1l133aUJEybYcngAQA1DXwGAqs9mgcPNzU2RkZGyWCySpO7duysxMdFWwwMAahj6CgBUD3Y7h+ODDz7QsGHD7DU8AKCGoa8AQNVkl8Dx5ptv6vDhw3rjjTeu+n50dLSsVmvpIysry8YVAgCqE/oKAFRdFsMwDLMOvmDBAkVHR0uSfv/73+vhhx/Wu+++qy+++ELr1q2Tr6/vDR3HarUqJSXFrDIBANUEfQUAqh9TA8dvRUdH6/PPP9e6detUt27dG96PxgAAuBr6CgBUfTYLHCkpKWratKlatGghb29vSZKrq6u2bdt23X1pDACA36KvAED14GSrgaxWq2w4mQIAqOHoKwBQPXCncQAAAACmIXAAAAAAMA2BAwAAAIBpCBwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQAAAMA0BA4AAAAApiFwAAAAADANgQMAAACAaQgcAAAAAExD4AAAAABgGgIHAAAAANMQOAAAAACYhsABAAAAwDQEDgAAAACmIXAAAAAAMA2BAwAAAIBpnGw52KBBg3TmzBk5ODjI29tb06dPV1hYmC1LAADUIPQVAKj6bBo4Fi9eLF9fX0nSsmXL9Mgjj2jXrl22LAEAUIPQVwCg6rPpkqrLTUGS0tPT5eDAii4AQMXRVwCg6rPpDIckjRs3Ths2bJAkrVmz5qrbREdHKzo6uvT5qVOnZLVabVLfb2VlZcnLy4uxa/i4jM3/17Vh7IKCAp07d84uY5uJvlL1x66Nn7m2jl0bP3NtHftmeorFMAzD5Hquav78+Vq0aJFWrVp13W2tVqtSUlJsUBVj23vs2viZa+vYtfEz1+axbYG+UnXHro2fubaOXRs/c20d+2bGNXXuecGCBQoLC1NYWJjmzp1b5r3x48drw4YN+uWXX8wsAQBQg9BXAKD6MXVJ1bhx4zRu3DhJUkZGhk6dOqXGjRtLkpYuXap69erJz8/PzBIAADUIfQUAqh/HKVOmTLHFQOfOndPdd9+tDz74QLNmzdL+/fs1b948BQQE3ND+PXr0MLlCxq4qY9fGz1xbx66Nn7k2j13Z6CvVa+za+Jlr69i18TPX1rFvdFy7ncMBAAAAoObj+oEAAAAATEPgAAAAAGCaKhM4AgMDtW/fPnuXUWtkZmbKy8tLjz32mL1LqXVu5Gf9oYce0owZM2xUUc1TUFCg559/XsHBwWrXrp1CQkKuuKLRb6WlpWnatGk2qhC2QF+xLfqKfdBTbIO+cmuqTOCAbX3xxReKiIjQ119/raysrJvev7i42ISqgMrx0EMP6ciRI/r555+VkJCgmJgYTZs2TR9//PE196ExALeGvoKajL5ya6pc4IiOjlaXLl0UHh6url27atu2baXvWSwWvf322+rWrZuCgoKumyxxbbNnz9bzzz+v3r17a/HixZKkefPmaeDAgRo9erTCwsLUt29fJScnl743ePBgjRs3Tp07d9b27dvtWX6N0K9fP8XExJQ+v+eeezRv3jz7FVRDHDlyRMuWLdPHH38sT09PSZe+AXzvvff02muvSZLmzp2rsLAwdezYUZ07d1ZSUpImTpyotLQ0hYWFqXPnzvb8CKhk9BXboK/YFz3FPPSVW2fqfTgqYuzYsZo8ebIk6ccff9Sjjz5aZqrQzc1N27ZtU0JCgrp27aqxY8fKyanKfYwqbf/+/Tpx4oQGDx6soqIiTZs2TY888ogkacuWLdq9e7fatGmjadOmaeLEiaV37d2yZYvi4uLUqlUre5YPlGvXrl1q1aqV6tWrV+b1Hj16KCUlRV9++aXeeOMNbd68WQEBAcrJyZEkzZw5U507d9bu3bvtUTZMRF8xH30FNRl95dZVuRmOuLg49e3bVyEhIZo4caLi4+NVUFBQ+n5UVJQkqV27dnJyctKZM2fsVWq1NXv2bI0bN06Ojo4aOnSoEhMTlZCQIEnq1auX2rRpI0maMGGCNmzYoMtXTu7VqxdNAdWCxWK55nurVq3SuHHjSu/V4OHhIQ8PD1uVBjugr5iPvoKajr5ya6rUVzglJSUaPXq0Nm7cqE6dOikjI0M+Pj4qKCiQi4uLpEvfRF3m6OiooqIie5VbLRUWFuqzzz6Ts7OzFi5cKEnKycnRnDlz1KFDh3L39fLyskWJtYaTk1OZNct5eXl2rKbmCA8P16FDh/TLL7+U+TZq69atslqt8vf3t2N1sDX6ivnoK1UDPcU89JVbV+VmOAoLC9W0aVNJ0vTp0+1cTc2zfPlytWjRQidPnlRSUpKSkpIUGxurBQsWqLCwULGxsTp06JAk6ZNPPlH//v3LTfWouJYtW5auJT927Ji2bNli54pqhlatWmnYsGGaMGFC6bR2UlKS/vjHP+ovf/mLhg0bpgULFpR+i52Tk6OcnBzVqVNHOTk5/GOzBqKvmIu+UjXQU8xDX7l1VWaGo6ioSB4eHpo6daq6du2qZs2aafjw4fYuq8aZPXt26fKBy0JCQtS4cWNlZmaqb9++mjJliuLj4+Xj46MFCxbYqdKaq6ioSG5ubnr++ec1ZswYrV27Vm3atFG3bt3sXVqNsWDBAr388ssKDQ2Vi4uLHB0d9cc//rH0cp0vv/yyBg0aJIvFIhcXF3311Vdq3ry5oqKiFBoaKk9PT+3cudPOnwK3ir5iG/QV+6Kn2AZ95dZYjMsLKe3o9OnTatu2rc6cOSN3d3d7l1NrzZs3TzExMfrqq6/sXUqNxc86YBv8rlUN9BVz8XOO6sLuS6qio6PVr18/vfvuu/yyoEbjZx2wDX7XUBvwc47qpErMcAAAAAComew+wwEAAACg5iJwAAAAADANgQMAAACAaQgcAAAAAExD4ABMtnv3bi1evLjMaxaLRVlZWXaqCABQndFXUN0QOACTXa0xAABQUfQVVDcEDtR6FotFb731lrp27aoWLVpo3bp1evHFFxUeHq4OHTpo//79pdtOmzZNHTp0UGhoqKKiopSeni5JmjJlih588EENGzZM7du3V//+/XXx4kWdO3dOr776qtatW6ewsDBNnDix9FgffvihunXrpqCgIM2dO9fmnxsAYA76ClAWgQOQVKdOHW3fvl1vv/22RowYoV69eikuLk7jx4/XG2+8IUlavXq15s6dq9jYWO3du1eenp566aWXSo+xbds2zZ8/X/Hx8WrQoIFmzZqlBg0aaOrUqRowYIB2796tmTNnlm7v5uambdu2adWqVXr22WdVVFRk888NADAHfQX4FYEDkDRmzBhJUkREhBwcHDR06FBJUqdOnZSYmChJWrdunaKiouTr6ytJevLJJ7Vu3brSYwwZMkR+fn6SpB49eujo0aPljhkVFSVJateunZycnHTmzJnK/VAAALuhrwC/InAAuvStkCQ5OjrK1dW19HVHR8fSb4gMw5DFYimz338/v3yM3+53vTFvdHsAQPVBXwF+ReAAbtDAgQP1xRdfKDMzU5L08ccfa8CAAdfdr06dOqVrcgEAuIy+gtqCwAHcoCFDhmjs2LHq0aOHQkNDlZGRUboOtzx33HGHsrOz1bFjxzIn9wEAajf6CmoLi2EYhr2LAAAAAFAzMcMBAAAAwDQEDgAAAACmIXAAAAAAMA2BAwAqKDQ0VKdPn77i9X79+ikmJsYOFQEAUPUQOACgAo4cOSJvb28FBATYuxQAAKo0AgeAGs1iseitt95S165d1aJFC61bt04vvviiwsPD1aFDB+3fv1+StHHjRoWFhWnixIkKDQ1VRESE9u3bpzFjxqh9+/YaOHCgsrKySo+7dOlSjRw5UpIUHx+vbt26KSIiQlFRUcrLyyvdLjo6Wl26dFF4eLi6du2qbdu2SZLeeecdPfHEE6XbpaWlyd/fXxcvXrTFfxYAAGyGwAGgxqtTp462b9+ut99+WyNGjFCvXr0UFxen8ePHl7nm/f79+zVx4kTt3btXPXr00ODBg/Xee+8pPj5ezs7O+te//lW67bJly0oDx9ixY/XUU09p165deuaZZ7Rjx47S7caOHasdO3YoLi5OH3zwgR599FFJ0uOPP65ly5aV3rxr9uzZGjFihPz8/GzxnwQAAJshcACo8caMGSNJioiIkIODg4YOHSpJ6tSpkxITE0u3a9OmjcLCwkq3DQsLk9VqvWLbM2fOKCMjQ61bt1ZGRob27dunsWPHSpK6d++u0NDQ0mPGxcWpb9++CgkJ0cSJExUfH6+CggL5+vpq9OjRmjdvngzD0D/+8Q89/fTT5v/HAADAxpzsXQAAmM3NzU2S5OjoKFdX19LXHR0dVVRUdMV2l9/77fPc3FxJ0vLlyzV8+PDS9ywWy1XHLSgo0OjRo7Vx40Z16tRJGRkZ8vHxUUFBgVxcXPTss89q5MiRatmypRo2bKjw8PDK+cAAAFQhzHAAwE1atmyZRo0aJenScq2QkBB9/vnnkqTt27dr7969kqS8vDwVFhaqadOmkqTp06eXOU7btm0VGBioJ598ktkNAECNReAAgBtQWFiogoICZWRk6NChQ+rcuXPpewsWLNCMGTMUERGhjz/+WN26dZN0KYxMnTpVXbt2VZ8+fcrMrlz2+OOPq6ioSPfcc4/NPgsAALZkMQzDsHcRAFDVWQL8paJiLZz+D23ZskUzZsyolOM+9dRTCggI0CuvvFIpxwMAoKohcADAdRQVFcnZy0MypJy0dLm7u9/yMU+dOqX+/fvLz89Pa9eulbe3dyVUCgBA1UPgAIDrWL9+ve64927JyVHyqyMj4Zi9SwIAoNogcADAdVgC/CUfL8nRUTp3Ucb5VHuXBABAtcFJ4wBQjqKiIik1Q6pbR/L1kjKzSy+PCwAAro/AAQDl2LRpk+TpcWk5lYOD5OMtj4j29i4LAIBqg8ABAOW4I+o+qb7vry/4+0oX0m5o32effVaBgYGyWCzat2/fVbfJy8vTQw89pNDQUIWEhGj48OG6cOFCZZQOAECVQOAAgGsos5zqsptYVnXPPfdoy5Ytat68+TW3mTVrlrKysrRnzx7t27dPDRs21LRp0yqjfAAAqgQCBwBcQ5nlVJf9Z1nVmjVrrrt/nz59ZLVar7tdTk6OCgsLVVRUpKysrBvaBwCA6oLAAQDXsHTpUsnf58o3/H0uvVcJnnjiCdWpU0cNGjRQw4YNlZ6erqeffrpSjg0AQFVA4ACAa7h48aLUqJEsDQPKPBTQWDt37pTVai19REdHV2iMdevWyWKx6MyZMzp9+rR8fX01derUSv4kAADYD4EDACogKChIKSkppY/JkydX6DgzZ87UqFGj5ObmJhcXF0VFRWnDhg2VXC0AAPZD4AAAO2rRooXWrl0rwzBkGIZiYmIUEhJi77IAAKg0BA4AMMmkSZNktVqVkpKiAQMGKDg4WJIUGRmpnTt3SpKmTJmi9PR0dejQQSEhIbpw4YJee+01e5YNAEClshiGYdi7CACoiqKiovSvlCOy1K9X5nUjLUORrj5auXKlnSoDAKD6YIYDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQAAAMA0BA4AAAAApiFwAAAAADANgQMAAACAaQgcAAAAAExD4AAAAABgGgIHAAAAANMQOAAAAACYhsABAAAAwDQEDgAAAACmIXAAAAAAMA2BAwAAAIBpnOxdAABUZY1bt5V7i8Ayr+WfPiMdTbFPQQAAVDPMcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQAAAMA0BA4AAAAApiFwAAAAADANgQMAAACAaQgcAAAAAExD4AAAAABgGgIHAAAAANMQOAAAAACYhsABAAAAwDQEDgAAAACmIXAAgEmeffZZBQYGymKxaN++fdfc7vXXX1fLli3VsmVLvfLKKzasEAAA8xE4AMAk99xzj7Zs2aLmzZtfc5tNmzZp4cKF2rNnj+Lj47V69WqtXbvWhlUCAGAuAgcAmKRPnz6yWq3lbrNo0SI99NBD8vT0lKurqx555BEtXLjQRhUCAGA+AgcA2FFycnKZGZDAwEAlJyfbsSIAACqXk70LAICq7PbQDrKGhZZ57fyRRO1at7nM7MXkyZM1efLkCo1hsVhK/2wYRsUKBQCgiiJwAEAFBAUFaeXKlbd8nGbNmikpKan0+fHjx9WsWbNbPi4AAFUFS6oAwI7uvfdezZ8/X9nZ2crPz9ecOXN0//3327ssAAAqDYEDAEwyadIkWa1WpaSkaMCAAQoODpYkRUZGaufOnZKkfv366b777lNoaKjatWunQYMGafDgwfYsGwCASmUxWDAMAFcVFRWlgm4dr3oOR+rXqyplSRUAADUdMxwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQAAAMA0BA4AAAAApiFwAAAAADANgQMAAACAaQgcAAAAAEzjZO8CAKAq62kNVFjrDmVeO1Jo0VI71QMAQHXDDAcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQAAAMA0BA4AAAAApiFwAAAAADANgQMAAACAaQgcAAAAAExD4AAAAABgGgIHAJjo8OHDuv3229W6dWt17dpV8fHxV2yzaNEihYeHKyQkRKGhoZo+fbodKgUAwBwEDgAw0RNPPKEJEybo0KFD+vOf/6xHH330im2sVqtWr16tffv2acuWLXr//fcVGxtrh2oBAKh8BA4AMMm5c+e0a9cu/e53v5MkjR49WseOHVNSUlKZ7Xr27KlGjRpJknx8fNS2bVsdO3bM1uUCAGAKAgcAmOTEiRNq3LixnJycJEkWi0XNmjVTcnLyNfeJj4/X1q1b1b9/f1uVCQCAqZzsXQAAVGVtPX3UpY5/mdfcPH0VfeyYrFZr6WuTJ0/W5MmTr9jfYrGUeW4YxjXHSklJ0YgRIzRz5kw1btz4FisHAKBqIHAAQAUEBQVp5cqV5W7TtGlTpaSkqKioSE5OTjIMQydOnFCzZs2u2PbUqVMaMGCAXn75Zd17771mlQ0AgM2xpAoATNKgQQOFh4frs88+kyR9/fXXCgwMVGBgYJntTp8+rTvuuEPPP/+8xo8fb4dKAQAwD4EDAEw0a9YszZo1S61bt9bf//53zZ49W5IUGRmpnTt3SpJeffVVJScn6/3331dYWJjCwsI0d+5ce5YNAEClYUkVAJioTZs22rp16xWvr1q1qvTP//znP/XPf/7TlmUBAGAzzHAAAAAAMA2BAwAAAIBpCBwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAwE5ycnL0wAMPKDg4WK1bt9aSJUuuut3evXvVp08ftW3bVqGhoZowYYLy8/NtXC0AABVD4AAAO3n33Xfl6uqqI0eOaO3atXrqqaeUmpp6xXZubm6aMWOGDhw4oN27dys9PV3vvfeeHSoGAODmETgAwE4WLVqkSZMmSZKCgoLUp08fLV++/IrtWrVqpdtuu02S5OjoqC5duigxMdGmtQIAUFEEDgCogGPHjslqtZY+oqOjb/oYycnJat68eenzwMBAJScnl7tPdna2PvnkEw0bNuymxwMAwB6c7F0AAFRpmftkpDqWecnIPKqgoCCtXLmy3F179+6thISEq74XFxcnSbJYLL8e1zDKPV5hYaHGjBmjQYMGacSIETdSPQAAdkfgAACTbN68udz3mzVrpqSkJNWvX1+SdPz4cUVGRl5128LCQt13330KCAjQ+++/X+m1AgBgFpZUAYCd3Hvvvfrwww8lXVqi9f3332v48OFXbFdUVKT7779ffn5++vjjj8vMigAAUNUROADATp577jnl5uYqODhYd955pz788EP5+flJkl599VXNnDlT0qWTy5csWaKdO3cqPDxcYWFhpSebAwBQ1bGkCgDsxNPTU4sWLbrqe1OnTi39c1RUlKKiomxVFgAAlYoZDgAAAACmIXAAAAAAMA2BAwAAAIBpCBwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQAAAMA0TvYuAACqsvNHYnXSPanMa+cSL9inGAAAqiFmOAAAAACYhsABAAAAwDQEDgAAAACmIXAAAAAAMA2BAwAAAIBpCBwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQB2MmfOHIWGhsrJyUkzZswod9uYmBi1bdtWwcHBGj16tLKysmxUJQAAt4bAAQB20qlTJy1evFgPPvhgudtlZWXp0Ucf1bJly3TkyBEFBATojTfesFGVAADcGgIHANhJx44d1a5dOzk4lP9X8erVq9W5c2e1bdtWkvTUU09p4cKFtigRAIBbRuAAgAo4duyYrFZr6SM6Otq0sZKTk9W8efPS54GBgTp58qRKSkpMGxMAgMriZO8CAKAqS/ppqzzPupd97Xy+goLCtHLlynL37d27txISEq76XlxcnJo2bXrDdVgslhveFgCAqoTAAQAm2bx5c6Ucp1nk5kwFAAAE2UlEQVSzZlq/fn3p86SkJDVp0uS6S7EAAKgK6FYAUMUNHjxYO3bs0IEDByRJH330ke6//347VwUAwI0hcACAnXz22WeyWq368ssv9corr8hqtSouLk6S9Oqrr2rmzJmSJG9vb33yyScaOXKkgoODdfLkSb300kv2LB0AgBtmMQzDsHcRAFAVRUVFqW3BenWwXnkOx3ep1z+HAwAAMMMBAAAAwEQEDgAAAACmIXAAAAAAMA2BAwAAAIBpCBwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmMbJ3gUAQFW27+hFpV8s+93MucwSqb6dCgIAoJphhgMAAACAaQgcAAAAAExD4AAAAABgGgIHAAAAANMQOAAAAACYhsABAAAAwDQEDgAAAACmIXAAAAAAMA2BAwAAAIBpCBwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHABgJ3PmzFFoaKicnJw0Y8aMcrd99913FRISorCwMHXv3l07duywUZUAANwaAgcA2EmnTp20ePFiPfjgg+Vu9/PPP2v69On68ccftXv3bj399NOaNGmSjaoEAODWONm7AACorTp27ChJcnC4/nc/hYWFys7OlpeXl9LS0mS1Ws0uDwCASkHgAIBrcHFxUU6xccXrBcWX3rOVjh07avLkyQoKCpKfn59cXV21adMmm40PAMCtYEkVAFzDoEGDtOdksY5fLPvYnVIkR0dHWa3W0kd0dPQV+/fu3Vv+/v5XfZw4ceKG6zh+/Li++eYbHT16VCkpKfrDH/6gqKioyvyoAACYhhkOALiGu+66S4+NL1GJ4SAHi0WSZBiGTqaXaNNHH6lBgwbl7r958+ZKqePLL79USEiIAgICJEkPP/ywnn32WRUXF8vR0bFSxgAAwCzMcADANXh7e8vXw6ILWb8uq0rLldydLdcNG5WpRYsW2rJli7KysiRJK1asULt27QgbAIBqwWIYxpULlAEAkqRugU66kGUooumlf9zvPVUsDxdp14niWz72Z599phdeeEGpqalycXGRp6enVqxYofDwcL366qtq3LixJk6cKMMw9NJLL2np0qVydXWVt7e3pk+frvDw8FuuAQAAsxE4AKAcmZmZalSvjga3d5JF0toDRTqafNamMxwAAFRnnMMBAOX472VVzo4Wmy+nAgCguiNwAMB1WH0dlJJmyNnRkNXXYu9yAACoVlhSBQDXcXlZlYNFOnqC5VQAANwMAgcA3IAmvg4qLJbOZZbYuxQAAKoVllQBwA349w/7VFBQYO8yAACodpjhAAAAAGAabvwHAAAAwDQEDgAAAACmIXAAAAAAMA2BAwAAAIBpCBwAAAAATEPgAAAAAGAaAgcAAAAA0xA4AAAAAJiGwAEAAADANAQOAAAAAKYhcAAAAAAwDYEDAAAAgGkIHAAAAABMQ+AAAAAAYBoCBwAAAADTEDgAAAAAmIbAAQAAAMA0BA4AAAAApiFwAAAAADANgQMAAACAaQgcAAAAAExD4AAAAABgGgIHAAAAANMQOAAAAACY5v8DSPWPpslsIjAAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 960x960 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')\n",
+    "clev = np.array([-1.8, -1.4, -1.0, -0.6, -0.2, 0.2, 0.6, 1.0, 1.4, 1.8])\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 1)\n",
+    "c = plt.contourf(month, sinlat, np.transpose(np.nanmedian((pr_ocea_ldor-pr_ocea_ldct)[tm.modlist_ldor], axis=0)), clev, extend='both', cmap=cm.BrBG)\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(month, np.sin(np.nanmedian(itcz_ocea_ldor, axis=0)*np.pi/180), 'k', linewidth=3)\n",
+    "plt.title('Over ocean', fontsize=14)\n",
+    "plt.xlim(1, 12), plt.ylim(-0.6, 0.6)\n",
+    "ax.xaxis.set_ticks(month)\n",
+    "ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-0.5, 0, 0.5])\n",
+    "ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10) \n",
+    "plt.text(0.02, 0.92, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 5)\n",
+    "ax.axis('off')\n",
+    "cbar = plt.colorbar(c, ticks=[-1.8, -1.0, -0.2, 0.2, 1.0, 1.8], orientation='vertical', aspect=30)\n",
+    "cbar.ax.tick_params(labelsize=10)\n",
+    "ax.text(1, 1, 'mm/day', fontsize=10)\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 2)\n",
+    "plt.contourf(month, sinlat, np.transpose(np.nanmedian((pr_land_ldor-pr_land_ldct)[tm.modlist_ldor], axis=0)), clev, extend='both', cmap=cm.BrBG)\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(month, np.sin(np.nanmedian(itcz_land_ldct, axis=0)*np.pi/180), 'k', linewidth=3)\n",
+    "plt.title('Over land', fontsize=14)\n",
+    "plt.xlim(1, 12), plt.ylim(-0.6, 0.6)\n",
+    "ax.xaxis.set_ticks(month)\n",
+    "ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-0.5, 0, 0.5])\n",
+    "ax.yaxis.set_ticklabels(['30S', 'Eq', '30N'], fontsize=10) \n",
+    "plt.text(0.02, 0.92, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 3)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "plt.plot([-100, 100], [0, 0], 'k--')\n",
+    "for m in tm.modlist_ldor:\n",
+    "    plt.plot(month, (itcz_ocea_ldor-itcz_ocea_ldct)[m,:], color=tm.modcolors[m])\n",
+    "plt.plot(month, np.nanmedian((itcz_ocea_ldor-itcz_ocea_ldct)[tm.modlist_ldor], axis=0), 'k', linewidth=3)\n",
+    "plt.xlabel('month')\n",
+    "plt.ylabel('ITCZ shift (deg lat)')\n",
+    "plt.xlim(1, 12), plt.ylim(-3, 3)\n",
+    "ax.xaxis.set_ticks(month)\n",
+    "ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-3, -2, -1, 0, 1, 2, 3])\n",
+    "ax.yaxis.set_ticklabels([-3, -2, -1, 0, 1, 2, 3], fontsize=10) \n",
+    "plt.text(0.02, 0.95, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 4)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "plt.plot([-100, 100], [0, 0], 'k--')\n",
+    "for m in tm.modlist_ldor:\n",
+    "    plt.plot(month, (itcz_land_ldor-itcz_land_ldct)[m,:], color=tm.modcolors[m])\n",
+    "plt.plot(month, np.nanmedian((itcz_land_ldor-itcz_land_ldct)[tm.modlist_ldor], axis=0), 'k', linewidth=3)\n",
+    "plt.xlabel('month')\n",
+    "plt.xlim(1, 12), plt.ylim(-3, 3)\n",
+    "ax.xaxis.set_ticks(month)\n",
+    "ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-3, -2, -1, 0, 1, 2, 3])\n",
+    "ax.yaxis.set_ticklabels([-3, -2, -1, 0, 1, 2, 3], fontsize=10) \n",
+    "plt.text(0.02, 0.95, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "plt.tight_layout\n",
+    "plt.savefig('figs/corrigendumpaper_figure16.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure2.ipynb b/corrigendum-james-2019/corrigendumpaper_figure2.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..625d2ba812199f3ecfe45572b9a98b63669d7767
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure2.ipynb
@@ -0,0 +1,208 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 2 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note: Figure 2 of TRACMIP used clear-sky radiative fluxes. Here, we produce the figure for both clear-sky and all-sky fluxes. This leads to small differences, and should be noted in the corrigendum paper.\n",
+    "\n",
+    "\n",
+    "Data is from postprocessed npz files based on ESGF copy of TRACMIP at KIT SCC LSDFONLINE."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Obtain global-mean time-mean albedo and surface temperature data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_sfcalbedo(exp):\n",
+    "    var='rsds'; _rsds = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.fldmean.timmean.npz')[var])\n",
+    "    var='rsus'; _rsus = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.fldmean.timmean.npz')[var])\n",
+    "    return _rsus/_rsds\n",
+    "alpha = get_sfcalbedo('aquaControlTRACMIP')\n",
+    "\n",
+    "def get_sfcalbedo_clearsky(exp):\n",
+    "    var='rsdscs'; _rsdscs = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.fldmean.timmean.npz')[var])\n",
+    "    var='rsuscs'; _rsuscs = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.fldmean.timmean.npz')[var])\n",
+    "    return _rsuscs/_rsdscs\n",
+    "alphacs = get_sfcalbedo_clearsky('aquaControlTRACMIP')\n",
+    "\n",
+    "ts = np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.fldmean.timmean.npz')['ts'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set CALTECH surface albedo to 0.06"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "alpha[13]   = 0.06\n",
+    "alphacs[13] = 0.06"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting of figure 2 of JAMES 2016 paper"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x320 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# all-sky albedo\n",
+    "\n",
+    "plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )  \n",
+    "\n",
+    "ax = plt.subplot(1, 2, 1) \n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left') \n",
+    "for m in range(tm.nmod):\n",
+    "    plt.text(alpha[m], ts[m], tm.modnumbers[m], color=tm.modcolors[m], fontsize=14,\n",
+    "    fontweight='normal', ha='center', va='center', backgroundcolor='none')\n",
+    "plt.xlim(0.05, 0.105), plt.ylim(290, 302)\n",
+    "plt.title('AquaControl', fontsize=14)\n",
+    "plt.xlabel('Global surface albedo', fontsize=12)\n",
+    "plt.ylabel('Global surface temperature (K)', fontsize=12)\n",
+    "ax.xaxis.set_ticks([0.06, 0.08, 0.1])\n",
+    "ax.xaxis.set_ticklabels([0.06, 0.08, 0.10], fontsize=10)\n",
+    "ax.yaxis.set_ticks([290, 294, 298, 302])\n",
+    "ax.yaxis.set_ticklabels([290, 294, 298, 302], fontsize=10)\n",
+    "\n",
+    "ax = plt.subplot(1, 2, 2)\n",
+    "plt.xlim(0, 1), plt.ylim(0, 1)\n",
+    "plt.axis('off')\n",
+    "for m in range(tm.nmod):\n",
+    "    plt.text(0.0, 1.06-0.08*np.float(tm.modnumbers[m]), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    plt.text(0.1, 1.06-0.08*np.float(tm.modnumbers[m]), tm.modnames_4plots[m]  , color=tm.modcolors[m], fontsize=14)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('figs/corrigendumpaper_figure2_allskyalbedo.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x320 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# clear-sky albedo\n",
+    "\n",
+    "plt.figure( figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k' )  \n",
+    "\n",
+    "ax = plt.subplot(1, 2, 1) \n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left') \n",
+    "for m in range(tm.nmod):\n",
+    "    plt.text(alphacs[m], ts[m], tm.modnumbers[m], color=tm.modcolors[m], fontsize=14,\n",
+    "    fontweight='normal', ha='center', va='center', backgroundcolor='none')\n",
+    "plt.xlim(0.05, 0.105), plt.ylim(290, 302)\n",
+    "plt.title('AquaControl', fontsize=14)\n",
+    "plt.xlabel('Global surface albedo', fontsize=12)\n",
+    "plt.ylabel('Global surface temperature (K)', fontsize=12)\n",
+    "ax.xaxis.set_ticks([0.06, 0.08, 0.1])\n",
+    "ax.xaxis.set_ticklabels([0.06, 0.08, 0.10], fontsize=10)\n",
+    "ax.yaxis.set_ticks([290, 294, 298, 302])\n",
+    "ax.yaxis.set_ticklabels([290, 294, 298, 302], fontsize=10)\n",
+    "\n",
+    "ax = plt.subplot(1, 2, 2)\n",
+    "plt.xlim(0, 1), plt.ylim(0, 1)\n",
+    "plt.axis('off')\n",
+    "for m in range(tm.nmod):\n",
+    "    plt.text(0.0, 1.06-0.08*np.float(tm.modnumbers[m]), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    plt.text(0.1, 1.06-0.08*np.float(tm.modnumbers[m]), tm.modnames_4plots[m]  , color=tm.modcolors[m], fontsize=14)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('figs/corrigendumpaper_figure2_clearskyalbedo.pdf')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure5.ipynb b/corrigendum-james-2019/corrigendumpaper_figure5.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..c4a01cbdf92f9caf5debe4ef1495510f299b57bd
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure5.ipynb
@@ -0,0 +1,194 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 5 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is from postprocessed npz files based on ESGF copy of TRACMIP at KIT SCC LSDFONLINE."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Obtain surface temperature data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct = np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.timmean.npz')['ts'])\n",
+    "ts_aq4x = np.array(np.load('./postdata_npz/ts_aqua4xCO2TRACMIP.timmean.npz'  )['ts'])\n",
+    "ts_ldct = np.array(np.load('./postdata_npz/ts_landControlTRACMIP.timmean.npz')['ts'])\n",
+    "ts_ld4x = np.array(np.load('./postdata_npz/ts_land4xCO2TRACMIP.timmean.npz'  )['ts'])\n",
+    "ts_ldor = np.array(np.load('./postdata_npz/ts_landOrbitTRACMIP.timmean.npz'  )['ts'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting of figure 5 of JAMES 2016 paper"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint * np.pi/180.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_nice_plot(ax, title):\n",
+    "    plt.xlim(-178, 178), plt.ylim(-0.98, 0.98)\n",
+    "    ax.xaxis.set_ticks([-120, -60, 0, 60, 120])\n",
+    "    ax.xaxis.set_ticklabels([''],fontsize=10)\n",
+    "    ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "    ax.yaxis.set_ticklabels([''], fontsize=10)\n",
+    "    plt.title(title, fontsize=14)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x960 with 7 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')\n",
+    "\n",
+    "clev   = np.array([275, 280, 285, 290, 295, 300, 305, 310])\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 1)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(ts_aqct[tm.modlist_aqct], axis=0), clev, cmap=cm.YlOrRd, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "make_nice_plot(ax, 'AquaControl')#, plt.ylabel('hPa', fontsize=12)\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 3)\n",
+    "c=plt.contourf(tm.lonint, sinlat, np.nanmedian(ts_aq4x[tm.modlist_aq4x], axis=0), clev, cmap=cm.YlOrRd, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "make_nice_plot(ax, 'Aqua4xCO2')\n",
+    "ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 5)\n",
+    "ax.axis('off')\n",
+    "cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)\n",
+    "cbar.ax.tick_params(labelsize=10) \n",
+    "plt.text(0, -0.1, 'K', fontsize=10, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 2)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(ts_ldct[tm.modlist_ldct], axis=0), clev, cmap=cm.YlOrRd, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "make_nice_plot(ax, 'LandControl')\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "plt.text(0.02, 0.93, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 4)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(ts_ld4x[tm.modlist_ld4x], axis=0), clev, cmap=cm.YlOrRd, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "make_nice_plot(ax, 'Land4xCO2')\n",
+    "from matplotlib.patches import Rectangle\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "plt.text(0.02, 0.93, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 6)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(ts_ldor[tm.modlist_ldor], axis=0), clev, cmap=cm.YlOrRd, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "make_nice_plot(ax, 'LandOrbit')\n",
+    "from matplotlib.patches import Rectangle\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'e)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "plt.tight_layout\n",
+    "plt.savefig('figs/corrigendumpaper_figure5.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure6.ipynb b/corrigendum-james-2019/corrigendumpaper_figure6.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..82074e6167f7a4538160004d2e61c0c5533ebf8e
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure6.ipynb
@@ -0,0 +1,236 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 6 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is from postprocessed npz files based on ESGF copy of TRACMIP at KIT SCC LSDFONLINE."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Obtain precipitation data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct = 86400*np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.timmean.npz')['pr'])\n",
+    "pr_aq4x = 86400*np.array(np.load('./postdata_npz/pr_aqua4xCO2TRACMIP.timmean.npz'  )['pr'])\n",
+    "pr_ldct = 86400*np.array(np.load('./postdata_npz/pr_landControlTRACMIP.timmean.npz')['pr'])\n",
+    "pr_ld4x = 86400*np.array(np.load('./postdata_npz/pr_land4xCO2TRACMIP.timmean.npz'  )['pr'])\n",
+    "pr_ldor = 86400*np.array(np.load('./postdata_npz/pr_landOrbitTRACMIP.timmean.npz'  )['pr'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Model median ITCZ"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_aqct_mm = np.zeros(tm.nlonint) + np.nan\n",
+    "itcz_aq4x_mm = np.zeros(tm.nlonint) + np.nan\n",
+    "itcz_ldct_mm = np.zeros(tm.nlonint) + np.nan\n",
+    "itcz_ld4x_mm = np.zeros(tm.nlonint) + np.nan\n",
+    "itcz_ldor_mm = np.zeros(tm.nlonint) + np.nan\n",
+    "for i in range(0, tm.nlonint):\n",
+    "    itcz_aqct_mm[i] = atm.get_itczposition(np.nanmedian(pr_aqct[tm.modlist_aqct, :, i], axis=0), tm.latint, 30.0, 0.1)\n",
+    "    itcz_aq4x_mm[i] = atm.get_itczposition(np.nanmedian(pr_aq4x[tm.modlist_aq4x, :, i], axis=0), tm.latint, 30.0, 0.1)\n",
+    "    itcz_ldct_mm[i] = atm.get_itczposition(np.nanmedian(pr_ldct[tm.modlist_ldct, :, i], axis=0), tm.latint, 30.0, 0.1)\n",
+    "    itcz_ld4x_mm[i] = atm.get_itczposition(np.nanmedian(pr_ld4x[tm.modlist_ld4x, :, i], axis=0), tm.latint, 30.0, 0.1)\n",
+    "    itcz_ldor_mm[i] = atm.get_itczposition(np.nanmedian(pr_ldor[tm.modlist_ldor, :, i], axis=0), tm.latint, 30.0, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting of figure 6 of JAMES 2016 paper"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint * np.pi/180.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_nice_plot(ax, title):\n",
+    "    plt.xlim(-178, 178), plt.ylim(-0.98, 0.98)\n",
+    "    ax.xaxis.set_ticks([-120, -60, 0, 60, 120])\n",
+    "    ax.xaxis.set_ticklabels([''],fontsize=10)\n",
+    "    ax.yaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "    ax.yaxis.set_ticklabels([''], fontsize=10)\n",
+    "    plt.title(title, fontsize=14)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "from matplotlib.patches import Rectangle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x960 with 7 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')\n",
+    "\n",
+    "clev = np.array([1, 3, 5, 7, 9, 11])\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 1)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(pr_aqct[tm.modlist_aqct], axis=0), clev, cmap=cm.Blues, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(tm.lonint, np.sin(itcz_aqct_mm*np.pi/180.0), 'firebrick', linewidth=2)\n",
+    "make_nice_plot(ax, 'AquaControl')#, plt.ylabel('hPa', fontsize=12)\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 3)\n",
+    "c=plt.contourf(tm.lonint, sinlat, np.nanmedian(pr_aq4x[tm.modlist_aq4x], axis=0), clev, cmap=cm.Blues, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(tm.lonint, np.sin(itcz_aq4x_mm*np.pi/180.0), 'firebrick', linewidth=2)\n",
+    "make_nice_plot(ax, 'Aqua4xCO2')\n",
+    "ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 5)\n",
+    "ax.axis('off')\n",
+    "cbar = plt.colorbar(c, ticks=clev, orientation='horizontal', aspect=30)\n",
+    "cbar.ax.tick_params(labelsize=10) \n",
+    "plt.text(0, -0.1, 'mm/day', fontsize=10, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 2)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(pr_ldct[tm.modlist_ldct], axis=0), clev, cmap=cm.Blues, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(tm.lonint, np.sin(itcz_ldct_mm*np.pi/180.0), 'firebrick', linewidth=2)\n",
+    "make_nice_plot(ax, 'LandControl')\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "plt.text(0.02, 0.93, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 4)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(pr_ld4x[tm.modlist_ld4x], axis=0), clev, cmap=cm.Blues, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(tm.lonint, np.sin(itcz_ld4x_mm*np.pi/180.0), 'firebrick', linewidth=2)\n",
+    "make_nice_plot(ax, 'Land4xCO2')\n",
+    "from matplotlib.patches import Rectangle\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "plt.text(0.02, 0.93, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 6)\n",
+    "plt.contourf(tm.lonint, sinlat, np.nanmedian(pr_ldor[tm.modlist_ldor], axis=0), clev, cmap=cm.Blues, extend='both')\n",
+    "plt.plot([-200, 200], [0, 0], 'k--')\n",
+    "plt.plot(tm.lonint, np.sin(itcz_ldor_mm*np.pi/180.0), 'firebrick', linewidth=2)\n",
+    "make_nice_plot(ax, 'LandOrbit')\n",
+    "from matplotlib.patches import Rectangle\n",
+    "ax.add_patch(Rectangle((0, -0.5), 45, 1, alpha=1, facecolor='none', edgecolor='gray', linewidth=2))\n",
+    "ax.xaxis.set_ticklabels(['120W', '60W', '0', '60E', '120E'],fontsize=10)\n",
+    "ax.yaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'e)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "plt.tight_layout\n",
+    "plt.savefig('figs/corrigendumpaper_figure6.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure7.ipynb b/corrigendum-james-2019/corrigendumpaper_figure7.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..89c78af621c93156a6a024e92aa4e122e327c036
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure7.ipynb
@@ -0,0 +1,298 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 7 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is from postprocessed npz files based on ESGF copy of TRACMIP at KIT SCC LSDFONLINE."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Obtain (u,v) wind data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ua_aqct = np.array(np.load('./postdata_npz/ua_aquaControlTRACMIP.zonmean.timmean.npz')['ua'])\n",
+    "ua_aq4x = np.array(np.load('./postdata_npz/ua_aqua4xCO2TRACMIP.zonmean.timmean.npz'  )['ua'])\n",
+    "ua_ldct = np.array(np.load('./postdata_npz/ua_landControlTRACMIP.zonmean.timmean.npz')['ua'])\n",
+    "ua_ld4x = np.array(np.load('./postdata_npz/ua_land4xCO2TRACMIP.zonmean.timmean.npz'  )['ua'])\n",
+    "ua_ldor = np.array(np.load('./postdata_npz/ua_landOrbitTRACMIP.zonmean.timmean.npz'  )['ua'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "va_aqct = np.array(np.load('./postdata_npz/va_aquaControlTRACMIP.zonmean.timmean.npz')['va'])\n",
+    "va_aq4x = np.array(np.load('./postdata_npz/va_aqua4xCO2TRACMIP.zonmean.timmean.npz'  )['va'])\n",
+    "va_ldct = np.array(np.load('./postdata_npz/va_landControlTRACMIP.zonmean.timmean.npz')['va'])\n",
+    "va_ld4x = np.array(np.load('./postdata_npz/va_land4xCO2TRACMIP.zonmean.timmean.npz'  )['va'])\n",
+    "va_ldor = np.array(np.load('./postdata_npz/va_landOrbitTRACMIP.zonmean.timmean.npz'  )['va'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Mass stream function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "msf_aqct = np.zeros((tm.nmod, tm.nlev, tm.nlatint)) + np.nan\n",
+    "msf_aq4x = np.zeros((tm.nmod, tm.nlev, tm.nlatint)) + np.nan\n",
+    "msf_ldct = np.zeros((tm.nmod, tm.nlev, tm.nlatint)) + np.nan\n",
+    "msf_ld4x = np.zeros((tm.nmod, tm.nlev, tm.nlatint)) + np.nan\n",
+    "msf_ldor = np.zeros((tm.nmod, tm.nlev, tm.nlatint)) + np.nan\n",
+    "for m in range(0, tm.nmod):\n",
+    "    msf_aqct[m] = atm.get_massstreamfunction(va_aqct[m, :, :], tm.lev, tm.latint)\n",
+    "    msf_aq4x[m] = atm.get_massstreamfunction(va_aq4x[m, :, :], tm.lev, tm.latint)\n",
+    "    msf_ldct[m] = atm.get_massstreamfunction(va_ldct[m, :, :], tm.lev, tm.latint)\n",
+    "    msf_ld4x[m] = atm.get_massstreamfunction(va_ld4x[m, :, :], tm.lev, tm.latint)\n",
+    "    msf_ldor[m] = atm.get_massstreamfunction(va_ldor[m, :, :], tm.lev, tm.latint)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting of figure 7 of JAMES 2016 paper"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint * np.pi/180.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_nice_plot(ax, title):\n",
+    "    plt.xlim(-0.98, 0.98), plt.ylim(1000, 10)\n",
+    "    ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "    ax.xaxis.set_ticklabels([''], fontsize=10)\n",
+    "    ax.yaxis.set_ticks([10, 200, 600, 1000])\n",
+    "    ax.yaxis.set_ticklabels([''],fontsize=10)\n",
+    "    plt.title(title, fontsize=14)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x960 with 7 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k')\n",
+    "\n",
+    "cu   = np.array([-55, -45, -35, -25, -15, -5, 5,  15, 25, 35, 45, 55])\n",
+    "cmsf = np.array([-170, -150, -130, -110, -90, -70, -50, -30, -10, 10, 30, 50, 70, 90, 110, 130, 150, 170])\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 1)\n",
+    "plt.contourf(sinlat, tm.lev/1e2, np.nanmedian(ua_aqct[tm.modlist_aqct], axis=0), cu, cmap=cm.RdBu_r, extend='both')\n",
+    "plt.contour(sinlat, tm.lev/1e2, np.nanmedian(msf_aqct[tm.modlist_aqct], axis=0), cmsf, colors='k')\n",
+    "make_nice_plot(ax, 'AquaControl'), plt.ylabel('hPa', fontsize=12)\n",
+    "ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 3)\n",
+    "c=plt.contourf(sinlat, tm.lev/1e2, np.nanmedian(ua_aq4x[tm.modlist_aq4x], axis=0), cu, cmap=cm.RdBu_r, extend='both')\n",
+    "plt.contour(sinlat, tm.lev/1e2, np.nanmedian(msf_aq4x[tm.modlist_aq4x], axis=0), cmsf, colors='k')\n",
+    "make_nice_plot(ax, 'Aqua4xCO2'), plt.ylabel('hPa', fontsize=12)\n",
+    "ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 5)\n",
+    "ax.axis('off')\n",
+    "cbar = plt.colorbar(c, ticks=[-50, -40, -30, -20, -10, 0, 10, 20, 30, 40, 50], \n",
+    "             orientation='horizontal', aspect=30)\n",
+    "cbar.ax.tick_params(labelsize=10) \n",
+    "plt.text(0, -0.2, 'm/s', fontsize=10, ha='right', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 2)\n",
+    "plt.contourf(sinlat, tm.lev/1e2, np.nanmedian(ua_ldct[tm.modlist_ldct], axis=0), cu, cmap=cm.RdBu_r, extend='both')\n",
+    "plt.contour(sinlat, tm.lev/1e2, np.nanmedian(msf_ldct[tm.modlist_ldct], axis=0), cmsf, colors='k')\n",
+    "make_nice_plot(ax, 'LandControl')\n",
+    "plt.text(0.02, 0.93, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 4)\n",
+    "plt.contourf(sinlat, tm.lev/1e2, np.nanmedian(ua_ld4x[tm.modlist_ld4x], axis=0), cu, cmap=cm.RdBu_r, extend='both')\n",
+    "plt.contour(sinlat, tm.lev/1e2, np.nanmedian(msf_ld4x[tm.modlist_ld4x], axis=0), cmsf, colors='k')\n",
+    "make_nice_plot(ax, 'Land4xCO2')\n",
+    "plt.text(0.02, 0.93, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 6)\n",
+    "plt.contourf(sinlat, tm.lev/1e2, np.nanmedian(ua_ldor[tm.modlist_ldor], axis=0), cu, cmap=cm.RdBu_r, extend='both')\n",
+    "plt.contour(sinlat, tm.lev/1e2, np.nanmedian(msf_ldor[tm.modlist_ldor], axis=0), cmsf, colors='k')\n",
+    "make_nice_plot(ax, 'LandOrbit'), plt.ylabel('hPa', fontsize=12)\n",
+    "ax.yaxis.set_ticklabels([10, 200, 600, 1000], fontsize=10)\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "plt.text(0.02, 0.93, 'e)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('figs/corrigendumpaper_figure7.pdf')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Annual-mean Hadley cell strength im AquaControl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[ 58.17368125  63.66144362  71.40428907  73.86193414  75.15883481\n",
+      "  70.71171279  82.84577069  83.74881452  98.6159635   61.24020112\n",
+      "  64.69015226  80.72737617  56.79915012  42.25942313] 42.2594231286 98.6159635041 71.0580009298\n",
+      "[-265.35017675 -122.42389789 -130.15745405 -126.19004164 -110.28357594\n",
+      " -156.00430144 -142.48571947 -123.99662453 -158.3431624  -146.23121173\n",
+      " -151.57538709 -129.19225441 -102.17597846  -53.23107191] -265.35017675 -53.2310719118 -129.67485423\n"
+     ]
+    }
+   ],
+   "source": [
+    "hc_nh_aqct = np.max(np.max(msf_aqct[tm.modlist_aqct, 2:15, :], axis=2), axis=1)\n",
+    "hc_sh_aqct = np.min(np.min(msf_aqct[tm.modlist_aqct, 2:15, :], axis=2), axis=1)\n",
+    "print(hc_nh_aqct, np.nanmin(hc_nh_aqct), np.nanmax(hc_nh_aqct), np.nanmedian(hc_nh_aqct))\n",
+    "print(hc_sh_aqct, np.nanmin(hc_sh_aqct), np.nanmax(hc_sh_aqct), np.nanmedian(hc_sh_aqct))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Annual-mean jet position\n",
+    "850 hPa is tm.lev = 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[ 51.34  45.18  49.85  46.54  45.41  45.81  45.58  42.96  42.12  46.5\n",
+      "  45.34  42.94  51.57  51.25] 45.695\n",
+      "[-41.55 -41.49 -45.97 -41.86 -41.86 -41.63 -40.97 -40.82 -37.83 -40.8\n",
+      " -40.03 -41.22 -46.25 -49.  ] -41.52\n"
+     ]
+    }
+   ],
+   "source": [
+    "jetlat_nh_aqct = np.zeros(tm.nmod) + np.nan\n",
+    "jetlat_sh_aqct = np.zeros(tm.nmod) + np.nan\n",
+    "for m in tm.modlist_aqct:\n",
+    "    jetlat_nh_aqct[m], jetlat_sh_aqct[m] = atm.get_eddyjetlat(ua_aqct[m, 2, :], tm.latint)\n",
+    "print(jetlat_nh_aqct, np.nanmedian(jetlat_nh_aqct))\n",
+    "print(jetlat_sh_aqct, np.nanmedian(jetlat_sh_aqct))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure8.ipynb b/corrigendum-james-2019/corrigendumpaper_figure8.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..2291868cd323900b68289ae03ff4444f0890b28c
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure8.ipynb
@@ -0,0 +1,169 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 8 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load global-mean time-mean surface temperature and precipitation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct = np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_aq4x = np.array(np.load('./postdata_npz/ts_aqua4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])\n",
+    "ts_ldct = np.array(np.load('./postdata_npz/ts_landControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_ld4x = np.array(np.load('./postdata_npz/ts_land4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])\n",
+    "ts_ldor = np.array(np.load('./postdata_npz/ts_landOrbitTRACMIP.fldmean.timmean.npz'  )['ts'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct = 86400*np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.fldmean.timmean.npz')['pr'])\n",
+    "pr_aq4x = 86400*np.array(np.load('./postdata_npz/pr_aqua4xCO2TRACMIP.fldmean.timmean.npz'  )['pr'])\n",
+    "pr_ldct = 86400*np.array(np.load('./postdata_npz/pr_landControlTRACMIP.fldmean.timmean.npz')['pr'])\n",
+    "pr_ld4x = 86400*np.array(np.load('./postdata_npz/pr_land4xCO2TRACMIP.fldmean.timmean.npz'  )['pr'])\n",
+    "pr_ldor = 86400*np.array(np.load('./postdata_npz/pr_landOrbitTRACMIP.fldmean.timmean.npz'  )['pr'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Figure 8 of JAMES 2016 paper"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x360 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plotting\n",
+    "from matplotlib.patches import Polygon\n",
+    "\n",
+    "fig = plt.figure(figsize=(12, 4.5), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "\n",
+    "ax = plt.subplot(1, 2, 1)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "ax.add_patch(Polygon([[273.15+14.3, 2.67], [273.15+14.3+20, 2.67*(1+0.02*20)], [273.15+14.3+20, 2.67*(1+0.03*20)]], True, alpha=0.4, facecolor='gray', edgecolor='none', linewidth=2))\n",
+    "ax.add_patch(Polygon([[273.15+14.3, 2.67], [273.15+14.3-20, 2.67*(1+0.02*-20)], [273.15+14.3-20, 2.67*(1+0.03*-20)]], True, alpha=0.4, facecolor='gray', edgecolor='none', linewidth=2))\n",
+    "plt.plot(273.15+14.3, 2.67, 'kx', ms=12, mew=3)  \n",
+    "for i in range(tm.nmod):\n",
+    "    if (np.isnan(ts_aqct[i])==False):\n",
+    "        plt.text(ts_aqct[i], pr_aqct[i], tm.modnumbers[i], ha='center', va='center', \n",
+    "                 color=tm.modcolors[i], fontsize=14, fontweight='normal')\n",
+    "    if np.isnan(ts_ldct[i]).sum() == 0:        \n",
+    "        plt.text(ts_ldct[i], pr_ldct[i], tm.modnumbers[i], ha='center', va='center', \n",
+    "                 color=tm.modcolors[i], fontsize=14, fontweight='normal')\n",
+    "        plt.text(ts_ldct[i], pr_ldct[i]-0.06, '_', ha='center', va='bottom', \n",
+    "                 color=tm.modcolors[i], fontsize=14, fontweight='normal')\n",
+    "plt.xlim(287, 302); plt.xticks([288, 290, 292, 294, 296, 298, 300, 302])\n",
+    "plt.ylim(2.6, 4.5); plt.yticks([3.0, 3.5, 4.0 ,4.5])\n",
+    "plt.xlabel('Global surface temperature (K)')\n",
+    "plt.ylabel('Global precipitation (mm/day)')\n",
+    "plt.text(302, 3.75, '2-3%/K', fontsize=12, rotation=-90, fontstyle='italic'  )\n",
+    "plt.text(288.2, 2.65, 'present-day', fontsize=12, fontstyle='italic')\n",
+    "\n",
+    "ax = plt.subplot(1, 2, 2)\n",
+    "plt.xlim(0, 1), plt.ylim(0, 1)\n",
+    "plt.axis('off')\n",
+    "for m in range(tm.nmod):\n",
+    "    plt.text(0.0, 1.06-0.08*np.float(tm.modnumbers[m]), tm.modnumbers[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    plt.text(0.1, 1.06-0.08*np.float(tm.modnumbers[m]), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "\n",
+    "plt.tight_layout\n",
+    "\n",
+    "plt.savefig('figs/corrigendumpaper_figure8.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_figure9.ipynb b/corrigendum-james-2019/corrigendumpaper_figure9.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..20cedfb15fa1a985245f85209bf0794ed074e2bf
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_figure9.ipynb
@@ -0,0 +1,276 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Figure 9 for corrigendum to 2016 JAMES Tracmip introduction paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "# my atmospheric python package for ITCZ calculation\n",
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules/')\n",
+    "import atmosphere as atm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts    = np.nanmean(np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.timmean.npz')['ts']), axis=2)\n",
+    "ua850 = np.array(np.load('./postdata_npz/ua_aquaControlTRACMIP.zonmean.timmean.npz')['ua'])[:,2]\n",
+    "\n",
+    "pr_mm = np.nanmean(86400*np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.ymonmean.npz')['pr']), axis=3)\n",
+    "\n",
+    "# time-mean precipitation\n",
+    "pr = np.nanmean(pr_mm, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate time-mean ITCZ position"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_tm = np.zeros(tm.nmod)\n",
+    "for i in range(tm.nmod):\n",
+    "    itcz_tm[i] = atm.get_itczposition(pr[i], tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate monthly-mean ITCZ position"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_mm = np.zeros((tm.nmod, 12)) + np.nan\n",
+    "for i in range(tm.nmod):\n",
+    "    for t in range(0, 12):\n",
+    "        itcz_mm[i, t] = atm.get_itczposition(pr_mm[i, t, :], tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Note: Caltech seasonal cycle shifted by 3 months"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tmp = np.copy(itcz_mm[13,:])\n",
+    "itcz_mm[13,3:12] = tmp[0:9]\n",
+    "itcz_mm[13,0:3 ] = tmp[9:12]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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ddBOHDh1izpw5TJ069aRDnxu6Pze1DU1JSQHgP//5D5MnT8bHx8crU1qdHj16MGXKFP7+979jtVrp27cvq1atYsGCBcybN++cWOxZ+Itq61n/wl/fm2++KU+YMEGOjY2VdTqd7OfnJw8dOlT+5JNP6pV99dVX5cTERNnHx0e+9NJL5W3btjWYJayhTCaNZQlbtWqV3KNHD9lgMMjJycnyRx99JE+fPl1OTk72KpebmytPnz5dDgsLk/V6vdyxY0d57ty5XmXWrVsnjxkzRvbz85ONRqOcnJws33XXXXJOTs5Jr8HixYvllJQUWa/Xy4B87NgxWZaVbFrPP/+83LVrV1mn08khISHykCFD5Ndee82zb10mmhMB8vPPP++17cSydZlWNm3aJI8dO1Y2Go1yVFSU/M9//rPe8TIyMuRp06bJ4eHhsk6nk+Pj4+UpU6Z4srvIcuPXvra2Vp45c6YcEhIi+/v7y1OmTJG3bt1aLwvN3r175eHDh8t+fn5evyun0yk/+uijcnR0tOzr6yvfcMMN8ooVKxrMEnbiZ25O/QVBEFpLY/fmOidmyGro56dqT2w2m/zYY4/JSUlJslarlaOiouRrr71WrqyslGW58Sxh7777rnz77bfLgYGBsp+fn3zzzTfL1dXVnuM2lCWssftzU9vQefPmybGxsbJKpZITEhIavQZWq1V++OGH5ZiYGFmr1cqdOnWqlzWssaxj48ePl0eMGNHoNRfOX5Isy/LZD5MEQWgNdQt65efnN7p4pyAIgtA+1C1W/Nlnn9XLxCUI7ZlIaywIgiAIgiAIwjlLBCyCIAiCIAiCIJyzxJAwQRAEoV279957WbJkCVlZWezZs4fU1FRAyVQ3Z84c3G43DoeDhx56iOnTp7dxbQVBEIQTiYBFEARBaNfWr19Phw4dGDZsGEuXLiU1NRVZlgkNDWXdunX07NmTzMxMunbtSnFxschkJAiCcI4RaY0FQRCEdu3CCy9s9GcVFRUAVFVVERISIhYiFQRBOAedF3NYTpaXXBAEQTj/SJLEl19+ydVXX01CQgLDhg3jgw8+8CyQ92evvPKKZyHW2NhYwsPD26DGgiAI56/zImCpqalp6yoIgiAI5xCn08nzzz/Pd999R1ZWFmvXrmX69OmUlZXVK/vAAw+Qk5PjeTUU1AiCIAhnznkRsAiCIAjCn+3cuZO8vDyGDh0KwIABA4iOjmbXrl1tXDNBEAThRCJgEQRBEM47cXFx5OTkcOjQIQCOHDnC0aNH6dKlSxvXTBAEQTiRCFiaoKKigoCAADZu3NjWVREEQRCa6e677yY2NpacnBzGjBlDp06diIiIYMGCBVxzzTX06tWLq6++mjfffJOYmJhWOeeMGTNOOX/yxhtv5LbbbmuV8wmCILRn50Va47qGqiUeffRRNm7cyPr161upVoIgCMJfUVPalBkzZrBlyxYOHjzYaJkDBw7Qq1cv9uzZQ3JycmtXUxAEod0QPSxNNHPmTH755Re2b9/e1lURBEEQ2oGUlBQuuOAC/vOf/7R1VQThzGj/z8SFs6TNApZx48bRs2dPevfuzfDhw9m5cyegrEicmJiIJEns3bvXa5/09HSGDBlCly5dGDhwIPv372+VumzdupWrrrqKmJgYfHx86N69O6+88gput9tTpmPHjvTr14+FCxe2yjkFQRCE9m/t2rX07t0bg8FAamoqK1as8Pr5tddeyyeffILdbm+jGgrCGeKyw4HFkPlzW9dEaAfabOHIL7/8ksDAQAC+/fZbbrnlFtLS0rjmmmt4+OGHGTZsWL197rjjDm6//XZmzJjBokWLuPXWW9m8eXOL65KVlcWAAQO49dZbMZlMpKWlMW/ePCoqKvjHP/7hKTd06NB6jY0gtAtOG9iqwFELTis4LOCygdupvJBArQWVFjQG0JlA5wuGQFCLFK+C0JCioiJuueUWnnjiCSIiInj99de5/PLL2blzJ926dQOUdqW8vJzt27czePDgNq6xILSi4xvBUgqWMojup7QZgnCa2ixgqQtWACorK1GplM6exlYkLioqIi0tjVWrVgEwadIkZs+eTWZmJomJiS2qy5QpUzxfy7LM8OHDsdlsvPbaa14BS+/evXn99depqKjwqr8g/CXIbrBWgLlEebdVga1aeXfZTvOgEhiDwTcC/KLBLwY0YqVwQQAoLy/nk08+4ZJLLgGUkQUdOnTg2Wef5ZNPPgGgR48eqFQqtm7dKgIWof0oTYeydND7K21M8QGIGdDWtRL+wtosYAG46aabWLduHcApey6ys7OJjo5Go1GqLEkS8fHxHD9+vMUBS3l5OU899RTffvstubm5OJ1Oz8/+HJyEhoYCUFBQIAIW4dwmy8qTrZoCMJf+8ZRLdnuX05qUgEPvpzQsOl/QGEFrVHpOVBrlJcvgdoDLAU4L2GuV3pjaYuUcxfuVF5ISvAR3guDOSq+MIJynTCaTJ1gB0Ol0XH755axcudKzTaPREBgYSEFBQVtUURBan60Kjm9Q2pLky+Hgd1ByEKL6gkrd1rUT/qLaNGD58MMPAfjggw946KGH+OGHH05aXpIkr+8bS3D2yiuv8Morr3i+P9VK9zNmzGD9+vU88cQT9OzZk4CAAL799lueffZZrFarp5zBYADAYrGc9HiC0CZcDqjKhopMqMpVAos6Wh+l98MnBHxCwRCkBCmq5twC6npOgrw3y7LSQFXnQmW28l5TADlbIaQzhHVTgiJBOM+EhYXV2xYREUFeXp7XNoPBINoVof3I/Fl5wNVxrNL2hKVA7q9QcUx5mCUIp6FNA5Y606dPZ9asWZSWlhISEtJgmbpFvpxOJxqNBlmWyc7OJj4+vl7ZBx54gAceeMDzfWxsbKPntlqtLFu2jOeff57777/fs33p0qX1ypaXlwM0WkdBOOtktxIklKVD5fHf55ugBAghnX8PUkKVHpMzRZLAEKC8wropEy3LjvzR61K8H3wjIaw7BCWBJJITCueH4uLietsKCwuJiory2lZeXi7aFaF9cJihJh+COoD/7397hSRD3jalLRABi3Ca2iRgqaqqoqamhujoaAC++eYbQkJCCA5u/ClseHg4ffr04eOPP2bGjBl8/fXXJCYmtng4mM1mw+VyeXpPAFwuF5999lm9sseOHcPX17fVFhYThNPmtCpd7MX7wf57D6JvpNJIBCYpk+LbilqnBC6hKVBbqNSxPEPpdSkIhpiB4B+nBDqC0I7V1tayfPlyz7Awu93OkiVLvOZqFhYWYrFYxDosQvtQlau8+8f9sU1rhKCOyoM1S5nocRdOS5sELJWVlUyaNAmLxYJKpSIsLIylS5ciSRJ333033333HQUFBYwZMwZfX1+OHDkCwIIFC5gxYwbPPfcc/v7+fPDBBy2uS0BAABdccAEvvPACYWFhmEwm/v3vf3vNY6nz22+/MXjwYNRqMQZTaCP2GijcrQQrbqcyRjiqL4R2PfcysEiSEkT5RkLsYKXeRXvhyAplW8xA5V0Q2qmgoCBmzZrFk08+6ckSVlhYyNy5cz1lfvvtN4AGM2MKwl9O1e8LqvqfMLIlrJsSsBTvh3jxb11oPrHSPZCRkcGsWbPYtGkTfn5+3HzzzXTo0IHbbruN/Px8IiMjsdlsRERE8NJLLzFz5syzWHtBQAlU8ndA6SFlGJgxBCJ7KT0qf6UhVvZayN8OJYcAGQISlMDFGHTKXQXhXNGcle7//e9/8+CDD3Lo0CE6derEiy++yIQJEzzlZs2axd69e9mwYcOZrrYgnFmyDHs+AbUeuk+u/7N9XyjtV+p1ooddaDYRsDTR4sWLmTFjBrm5ufj5+bVSzQThFOy1ULBD6VGR3WCKgKg+f/0hVdYKyP1NmYQpqSCil/K5mpUEQBDaRmu0KaAMEYuJieGll15i+vTprVAzQWhDljLYvwjCUyFuSP2fH9+g9LB0v1aZ8ygIzSD+Omiil19+mQcffFAEK8LZ4TBDwU4ld73sAp8wJYe9X8xfO1CpYwhUMsjUFCqNWMEOKD+qDBU4cSiBILRTH3zwAUFBQUybNq2tqyIILdfYcLA6fjFKwFKdKwIWodlEwNIEFRUVjBs3zivzmCCcEfYaKNyj3NRll5LhK7r/X79HpTG+EZBylTK3JW8bpP+gZJGJHaSkwxSEdkyr1fLee+951hcThL+0qlylx9w3quGf+0UDklIurNtZrZrw1yeGhAnCucBaqfSolKX/MUclup8yx6M9BioNsVVD9kYlPbNapwwpCO58/nx+4S9DtCmCcAK3C3a+D6ZwSL6s8XIHvlHW7ep1419r/qXQ5sRjHUFoS+YSJVApPwbI7WeOyunQ+0HH8crCl8c3QOZPytfxw8/sOjKCIAhCy9QUKKMCTjWk1z8GCoqVts8UfnbqJrQLImARhLPNZVcClNLDygJboAQokb3Br5Gu9POFJCmLS/pFKUFLeYYyzyVhOAQmtnXtBEEQhIZU162/cqqAJVZ5SFeVKwIWoVlEwCIIZ4O9FqqylVXpq7KVNVQktbKYVmQvZa6K8AeNAZJGK0HK8Q1wdJWyWnLcYGW4mCAIgnDuqMpV0hn7hJy8nClCafuqc5XRBILQRCJgEYQzQXYrXeR1AYql7I+fmSIgpLMSrGj0bVfHc50kKRPwfaMg62dlDZrqXEgc+fvkTUEQBKHNyW6ljfOLPvW8FJVa6UGvzlMe3IlU9kITiX8pgtBa7DV/BChVueB2KNs1BmXyeECc0h2uMbRtPf9qdCbodAmUHICcLXB4KYT3UNI8i8ZOEAShbdmqlPkrTV0A2C9GSYFcUyDS2AtNJlp7QThdbqdyw63KUQIVa/nvP5CUsbkBccrcFJ/QFk+gl2UZq6WM2up8LLVFmGuLsVnKcTotOB2/v37/2u12oFbrUKl1yrtKi1qtQ6M1ojcGYTAEKe/GYPTGIHxMYWjO9UntkqSkwfSLUSbjF+1RrnvSRacegiAIgiCcOdYK5d0Q2LTy/jGQi3IPFwGL0EQiYBGEpnK7wFysdGVX5SLXFOB02rA6arG6nFh1Jpw6X1S+kai0JlS2WlRlR1FVZKHRGDH4hGDwCUGt1noOKcsyNmsl5ppCzLWFyntNIeaaAqors6mqOE5FaSbm2nxkt+2MfTS1NgCjTyQm/1j8AxMIDu1AeFQqkbEXYPKLPGPnbTZDgJIys2CXsm7LwW8gegBE9Dz/sqoJgiCcCyy/P6wzBjetvDFEmcfy56HSgnAKImARhMbIbtw1RVTlbaMsbxtlRfspq8qlrDqfaksZVrsZV92wr2ZQawyoVGokSYXLacPlsjda1maXqKpVU12rpqbWSHWtGrNVhaTyQ2cIRKc3oTf4otEYcTolHE5wumRcLgfIThx2CxZLDRZLDTZrNXqtC4NeRq9zY9C7MehlTAYXfr4W/E1H8DMdojDbuw5Wuw8OotEZOxEY2ovO3S6iV69+hIS0Uc+GpPo99XMsHPsRcrcqw/ASR4LOt23qJAiCcL6qG13Q1B4WSVLK1gU6gtAEYuFIQagjy7gt5RQdXUVW+gqOZ2+moOxYvaDE6BNCQHAnjD6hyrAqn2AMxmAMxiAcDoma2mpqqisx11ZTa67GYq7BbqvB7apBdtcguy3IsozsdmN3uCgps1JYZKbWosJsUVFrUeHGl5CwDsTFdyYxMZGEhASSkpKIj48nLCwMvb75k/VlWcZsNlNVVUV1dXXD71WV1FTnYzXn47AcR3Jn42csJcjP7unAsNkljhzXU1wZTWzSGC4aPZ4RI0a0TQDjcijzWkoOKNnD4odDcMezXw/hvCLaFEH4k/1fg9MKPac1fZ+MtVB+FHrfDH8adSAIjREBi3B+c5gxF+4hY98isrJ+IbtgL1ZHLQBajYHoqN6ERPQkOLovQeHdCQ5LQacPJDMzk3379rFv3z4OHz5MVlYWWVlZWCyWZp1ekiSSkpLo1q0b3bp1IyUlhW7duhEbG4t0Dg1xqijL59D+NWQdXU9B9lrctmMAWG0SBzKM7E33oWPySCZNuoZLL70UX9+z3NNRkaVkEnNalQQH8UNF+mPhjBFtiiD8TnbDjoVK5q/OE5q+X952yN8OXa8CU9iZq5/QboiARTi/yDLUFuEqPULmoSXsP7KKYwUXilbAAAAgAElEQVS7cctuQCIiNJn4DheRkHIlUYkjUGt05OTksGnTJtLS0ti3bx/79+/3CkzUajWxsbEkJCQQHR1NcHAwwcHBBAUFERQURHBwMH5+fmg0GrRaLRqNxvMymUwYjef4hPcGVFVkkb5vEbt/e5fK0gMAFJTo+HW3D1kFgVx99TXceuutdO3a9exVymGGrPVQeRx0fpA0CnzPofk3Qrsh2hRB+J21EvZ9oWRujBvc9P3KMyBjDSSOUtL8C8IpiIBFaP/cLmVF+fJjlB7fyL6MHzmYvQWzrRqQiI8fSkqf6SSmXInRFEpeXh6bNm1i48aNbN68mePHj3sOFRQURGpqKt26dSM1NZXu3bvTsWNHtNrzs0tblmWK83ewZ9vb7N/xAS6nBYvNyC/btOw57MOQoRdyzz33MHTo0LPTYyTLyvCw7M3Kk7/I3hDd79RrAwhCM4g2RRB+V5GpLOybcCGENuMBlaUM9i+CyD5KinpBOAURsAjtkyxDbSGUHsZddoSMnN/YcXQtuaXpAAQEJtK9362k9JmOr38su3fvZsWKFaxYsYJDhw55DpOUlMSQIUMYMmQIAwcOJDo6+pwaqnUusdSWsPvX/7Jzy+tYzCU4XL6s26ph90ED/QdcwIMPPsjw4cPPTmWsFcqEfHMJ+IQpvS1NnRAqCKcg2hRB+F3+Dsj7DZKvAN+Ipu/ndsGO9yAwATqOO3P1E9oNEbAI7Yu9BkrTofQwTnMJ+7I2kpbxI5U1hahUWpJ7TCW1/21EJwwjNzeXr776iq+++orMzEwAQkJCGD16NMOHD2fw4MFER58bK6o7XNVU245R68jG4ijE4ijE5irD6a7F6arFJf+R8liS1GhUJrQqE1p1AD7aaOWli8akjcGgCUM6gz0OdlsNu399k20b/oXVXIrDHcJ3a1RkZGsYOXIkjz/+OCkpKWfs/B5ulzJGumCnssBk7GDlCaAIOIUWEm2KIPzu2I9QdgR6z2j+vMG9nyvpjbtPPiNVE9oXEbAIf32yrMxbKN4HVTnYHVZ2H99E2pHVmC1lGHxC6DXwLnoOvAtUfixbtoyvvvqKjRs3AhAWFsaVV17JhAkT6N+/P2q1ulmnd7ntWJ3FWJ0lOFyVuGUnbtmBJEloVCY0Kh906kCM2kg0qvrzVdyyC6ujkFpHLmZHLrX2XGrtx6m2H6OyOpP8o4VUFdixFPtgKzXgqNZhr9Jht6pxad24dC5kjRu1Rkajc6EzOvGNrMU3ppqAuBqMAXavv9ElNJh0sQQYuhJo6EqQsQdhpkEEGrq2aiBjt9WwfcOLbNvwL1xOK7WOJD75poaqWh3XXXcdc+bMISioiSsjt0R1PmSuU4LZgARl6MK5vlCmcE4TbYog/O50MoTVObJCWTyyzy1i2K5wSiJgEf66XA4oPQRFe8FWhdVuZkfudnYe+h6btRJf/xj6Dv0bPfrfRnZOIW+//TZfffUVZrMZnU7H+PHjmTx5MiNHjkSjOfWSRHZXJaXmHZSYt1Nh2UulNZ1q2xEszsImV1mnDkSvDgZJQkLC6bZgcRQg48JlVVNxMJiyvaGUHAgiP9uPkio9tUYnZl87Zh8bZnUtNrcFu8uCrCy6Ak6398stg4TSk6CSAAkVKjQaFXqTFmOAGlMw+EY6CYyWMJncGHQuTHodUYEd6BJ+Ad2jxtAprB+hfoGoVC1rSKoqstiw8u8c3vsFkqTheHEHvv6hEj//MJ588kkmTZp05ofZuexwfIPyJFBjhMQREBB/Zs8ptFuiTREETj9DWJ2cLVC4G7pPEUN2hVMSAYvw12OvUYKUkoPgsmN3u0nLS2P77s9w2GsICOpA/wsfoWuvG0lL28X//vc/Vq1ahSzLpKamMm3aNC6//PJTPt23OSvIr15HQfU68qvXUW7d6/VzvToEf0NnfHWJGDVhGLRhaNUBqCQtKjTIyLjcZpxuMzZXGWZHPhZHPjZnOU4rVGXpKTlk4ug+fw5nuMiqLKdCW02tuga72wJmB5jtf7xbnK1/LSXA3wBRfhDtDxG+oP4jQFGrJML8A0gMiSM5KpHkqAR6xXdhUKceBPsGNOtUuZm/8NMP91GcvwO1JoiVG/1I2+tg2LBhPP/883TseBbWTyk7ogQuLjuEdYPYQcpwMUFoBtGmCAJgq1KGdTU3Q1idkoNKZseO4yAwsdWrJ7QvImAR/jpsVcp8hJJDgIxLY2JP8X5+3fYO5toigkK6cMGoJ+mYMokflq9gwYIF7Ny5E4CxY8cya9YsBg0adNKn+dW2TLIqFpNduZSC6l+QUYIEozaKSN8LCfXpT4hPX4J9emHQhOByu8grLyazMJfla39iW1oa2ccyKMrJxVxRhdNqx+VQFp6UdBrQa0CjQpYBWUZ2u85cMHI6NDr08VEEJxuI7GZDNklU1moprvKhxuJ93bpEJnBRtwFM7DOci7oNwKgznPLwbreLfWnvsWHlw9isFZhdXXjv8wqcbiP33HMPs2fPPq1FMZvFXgPH1imZ4wyBkHQR+ISe2XMK7YpoUwSB088QVqemEA59BzEDlYyOgnASImARzn22KiUTSelhQEb2CeNwVS6bNr5KZXkGJr8oBl30FCm9prN8xUpefPFFjhw5gsFgYPLkydx222106tSp0cNbHEVklH9ORtlnFNduAUAtGYj2H0NswASi/S7CX9+Foqoy0jLTWbbnAFszDnP0yC4qDu1Hzi2HwhplONZZIkkS/iGBmPxM+Jh88DEp70aTD3q9HrfLjdvlwuV04XK5cDmdWCxWKsrLqSyvpKywhKb81w/s2o2eF4dw1dU7UavMHC/257eMgRSVxVBakU9RZQEARp2By/oM56ZhExmXOgit5uRpnmurC1i3dDZH9n+NWuvPr3ujWLuhkq5dU3j99ddJTU1tlevUKNmtDEXI26Z8H90fInqKcdRCk4g2RRBQHiDm/tr8DGF1nDbY9QGEdIHEka1ePaF9EQGLcO6yVUF+mpL1Cxl8I8mX4ad1T1OYtw2d3p/+wx+hz+D72LxlG8888wx79+7FZDIxc+ZMZs6cSUhISIOHlmU3edVrOVTyNscrvsUtO9CoTCQEXklS0BQifS/icH4B6w+lsXTXdjan76KiPB8KqiG/CvKqodZ+Rj62JEmERoQRExdLXGwsiXEJxMXGERsbS1yc8h4dHY1Od/oruZvNZg4ePMiePXv46aef+GHZDxQVFzVa3i8imL6X9uTCiYUkxisLRR4t6cXyvVfhtoTgqN3G/pzdAIT7B3PLhVdw5+hriA+NOmk90vd9zbqld2OuKUTWdOGdz6uprtXwwAMPMHv27CbNLWoRc4mS5cZaAb5RSm+LznRmzyn85Yk2RRBoWYawOrs+Ap0vpFzVqlUT2h8RsAjnHodFCVSK96MEKlGYAxPZuGk++9LeQ6XS0GvQPQwcMZec3DKefvpp1qxZg16vZ8aMGcyePbvRQMXsyCe9ZCGHSt6hxn4MgCi/0SSHzsRp78eKXdtYvXcLPx/aSXVtFZSZleCkwArFFUpGspMwGU107ZpCas/uJCYm4ufnh4+PD7IsU1paSmlpKTU1NahUKiRJwmAwEBsb26rByOlwu93s2rWLH374gUWffs2uA7uQ5fo9RpJKRZ+JPblyRgjRcZuQJAsF1Yn8sP9O0guHkuK3nczcNWSV5KCSVFzVfxR/nziDAR26N3puq7mM9Sv/xv60hag1vvy6L461G8rp06cvr7322kl7x1qF2wk5W5UscxqjErT4x5zZcwp/aaJNEQTgwGJwmKHnDad/jEPfKw+Oes8QKeeFkxIBi3DucDmUYTqFu8HtAFM47qh+7Dn4PZvWzMVmrSCuw2hGXfpvDL4JvPzyy7z11lu4XC6uuuoqHn30UWJjYxs8dKl5B3sKXuRY+ZfIuDBqIugcejNq16V8+9seFv22lv25GUqvSX4tFLggvwRslpNWWZJUdE1KYdTFF9N78IVExnXB4ZKx2p04nW60GhVajRqjQYO/SU+ArwF/k97zkpEpLK0lv6Sa/JIa8kuqySupprjcTEW1lcoaG5U1VuXrWhtmqwOjbCZcKiVYKscHMyYsmCQz/morJsmCXuVE0hqRdD5oDCZ0Pn4Yff0xBQbjHx5NSFQc4bEJRCUkYgoKbXBOT0lJCS89/TJvvf0W5ZayBj97rysHcP3dsYSHrMXtrqLcEsv3++5g47ErGRqVibtmOb8c3AzA2NRBPH7lTIYn9230Wh47vJzV39yCuaYAhyqV/35YApKROXPmcOutt575TGLlGZD5sxLAxAz8fYiYaECF+kSbIpz3ZBl2vq/M/0u+7PSPk/ULlByAHtNE77ZwUiJgEdqe7FayheRtB6cF9AEQM4D86iJ+XHoXxfk78PWP4cJLXqVz92tYs2YNc+fOJScnh169evHss8/St2/9P4RlWSa/+kd2F7xAXvVqAKL9xhBunMGmgxIfb1zB1iN7oLAGVb4Vd54FyktPWV2j5IdfUCfs4SlUGOJBferJ5s2lwUG4qoxYXQXx+kqiNGWEUUyAswiDq7rR/RxosMtadNjRSq5TnseJmhpVIGZdOHZTFKrgRHwTehCd0o9OnRJJTgjm6/c+5+XnX+ZwyUGg/u2i99UXcM3saGKD1uFyVWC2R/LlrnvYmHkN4xLLUZu/YfnONbhlNxN7D+dfU+8jJaZDg/Wx1Jaw5rvbOHrgW3SGcFZuDOG3nRWMHTuW+fPnn/l1W6wVcHQ1WMuVLGJxQ8S8FqEe0aYI5z2nFXZ9CCHJSpr401W0F7I3QedLRc+2cFIiYBHaVnUeHN+o/IGoMUJ0P5wBCWz68Ul2bHoVSVLRd+iDDBzxGCWlVTz++OMsX74cX19f/v73vzNjxox6Cz26ZReZ5YvYU/gvSs1pSKhICJhCUenFfLZpJz/s2oizpBpVVhXuY5VQW3vSKqrREEoEPrp4qiO6YYlPIiE6iLBAH0IDfQj10xChrSLEXYyPuxqtRkKrBhXgdDlxOd043CosGn9qJH+qXAZqLHaqa+2onGaidZWEUIqfoxhdbT7uimzs5Xn1hp8ZAkLxi+mMX3RHfKM6YopIwD8sGlNwBIaAEAz+IWgMPgC4XG6qq82UlpZSUlRCSXEp5cVFVBblUluaj628AGd1CZK5BJ21BH9nMTq85+TkuUPZ6+xMrqkngcmDiLdVs/nbj9lXsh033sGQJEn0uWYwV90dS3zgWpzOUiotXXnv14fYVziCSzpWIVd/zvKdq1Gr1Nw28irmXX0HEQH1h+7Jssz+tIX89MN9OOw1lFt78e5nhURGxvC///2P/v37N/Vf1+lx2iBjtfJvMyABOowWqY8FL6JNEc57tcVw8BslYUlU4z3np1SVA+k/QNxQCG986LAgiIBFaBv2GmXRqPIMkNQQ2QsiepGX8yurv7mF8tLDRMQOZNyV7xEUlsJ7773HCy+8QG1tLRMnTuSpp54iKsp7Qrcsyxyv/I7tuY9RYd2HWjIS5z+DXUd6sODH1Rw6mo6UWY76uBlnSflJq2dShRLpjiCMKJJ6DWDADcO5YGwq8UES1iMbKT6wlcrsw1TmHKYqL0NJT9wKJL0P6oBIJL9w3KYwnD4h2HSBWDR+WGV1g/totVp8fHw8L19fX4KCgggODiYkJITw8PBTTl6XZRlzWSHH9+/g2K6tFB/ahuXIFlQWpcepRvbhN0d3tjh6IpfoUOesJ9N5sMHApe+1Q7hqViDRfmuQZRuF1SN4c+ND5FV15fJOeeTnLmTr0Z34Gnx4ZOIM7r94Gj76+ivPV5ZlsOLrG8k/vgmNoQPvfGGnrELikUceYdasWS1e0PKk3C7I+lmZUOoTBp0uBm39OgrnJ9GmCOe98gzIWKPM+QtuwTxDew3s+RTCukP80Narn9DuiIBFOLvcTmWOSv4OkF3KE+y4wTgkDZvWzGXHltdQq3UMHv00fQffT0FhEf/3f//Hhg0biIuL47nnnmP06NH1DptfvY5tuY9SXLsVjcqHUP0drNsVwTs//UBFRh7qoxW4MksbnTSv1vuSkNCTWFsY+iwtBpWRUTcMZcrcy/HRV3B88zKOb15KwZ4NnuBEpdHiH9MJQ1g8sm8EZo0fNS41NrsDi82G0+kCJGRJQnI7UNtrUNlqUDmtnvPKai1OYxAuQzBOYxCy1gckyTMhv+5lNBoxGo3o9XrUajVqtRpZlrFYLJjNZq+X3e7dU6JSqQgNDSUyMtLrZTSe/A9wWZYpTd9B1ualHFn7OZXHlexgFboYlpX3pSQjEHPZbxznMG68J+hLKhX9p17AlbdIRAYq81gOF13LGxsfQJJCuLrTPjbsfoejRdkkhEbx5vRHmdB7WP1/Li4nW9bN49f1z6HRmNiwM5b1WyoZPXo0r732GsHBwSf9DC0iy5D3m5K6U+enrORsaN5imUL7JNoU4bxXl9K465VgCj/948gy7FwIpgjocmnr1U9od0TAIpw91XnKqra2KmWeStwQCIgj7/hmVn59I5VlR4mKG8zYq94jOKwr3333HY888giVlZVMmzaNefPmYTJ5T8orqd3Gttw55FWvRiVpCdbOYMmvYbz/8ypcGcVoDpbhLG14zodao2PQ8DFMu2ISFRur2fSVsibHhVMHMfG23lSlLyHjp6+ozleyian1RqL7jMKn8yDMfvEU1rrIyy/A8fvCkAC+vr6YTCZMJpMnuFCpVF4vjUbjFYw09NLpdKc9ydxms1FWVkZZWRnFxcUUFBRQUFBAZWWlV7mAgIB6QUxAQECD55VlmZLDaaSv+pBDK97HUVsFej/S7Bexa4uOAutuskhHbiBwGTi1H1fOqCE8+AAQzHd757Bk3xV0CpYYEbmeLza+S43VzJQLxjL/hr8RFRhW7/xZR1azYtE0LLXFVNl78vanRURHx7Nw4UK6det2WtepyYr3K8MWtUbocpkIWgTRpghC1npl7mnPG1ve+3xgsZIdtOe01qmb0C6JgEU481x2JW1syQFl+Fd0PwjvgRv4bf3zbFk3D5VKy9Cxz9F70L3U1NQyd+5cvv76a0JCQnjppZcYP3681yEtjiK25T5CeulCQCJUfx2r0zrx1prl2A/mozlcjrOygbkpkkT/C4Zx9x23MnLwSJa+spbV7/6M2+Wm38U9uPBSA9UHPqdwn9Ir4BsRT0TfcbgiUsh3+5OdV4DLpfSwaLVaYmJiPGmJY2Nj6wVU5xKLxeIJXgoLC8nPz6e4uNhrAUmDwUBERASRkZGe97CwMK8hZQ5zDYdXfcjer1+nMvsQKp0P+2svZ+dmO0flvWRzpF7golKruODa7lxxfRZhkVXYnMP5149PklmeyMiEWvTm91m5+ycCfHz555R7uX3U1fWGfNVW57P8q+vJOfYTGn0Cb31up9ZiZP78+Vx2WQuy1DRF2VFlzQGtD3SZKIKW85xoU4Tz3uFlUFsIvW9ueTbF1ljPRWj3RMAinFmVx5W0hY5a8IuGhAtB7091ZTYrFt1IbubPhEb04JLJnxES0Z2tW7cye/ZscnNzGTNmDC+//DJhYX88cXfLTg4W/5e0vMexuyoJ0I5m64ELefOHH6jdfRzVoTLcFlu9avgHBHHHHbdx1513Eh4cwVfPL2HJ/JXYrQ66DIhlwKByLEc/w1FbhVpvJOqCiZA0hONWHYVFxQBoNBri4+Pp2LEjSUlJREREnNl5FGeB0+n09MLk5+dTWFhIQUGB17CyPw8p+3MwYzQYyPxlMWkfPUPZ0d1Y7CHsyLqY7LxaDqj2k+8+AicGLho1Q66J5LLrcwmL0ZNR/H88v246erWeqV0PsGrbf8gpK2Rwp54svH0eyVGJXvu73S62/vQ0W3/6B2q1iRUbQtmxz8a9997Lww8/fGZ/H2VH4Ng6JWhJvgz0/mfuXMI5TbQpwnlv7+dKMpJu17T8WPlpkLet5cPLhHZNBCzCmeG0KqkKy46ASguxgyC0K0gSR/Z/w+pvb8VmKafXBbMZPv5fqDUG3n77bZ5++ml0Oh3z5s3jhhtu8BqeVFD9C5uzZ1Nu2Y1RE8+x7Bt4+dtfKEs7irS/GNnmqFeNpA4dmfPoI9xwww1oNVpWvfsznzy+iMriaqI7+NIjJR1t9VokCQISuqFNGU22JpqKWiXoMRqNJCcnk5ycTMeOHdFqtWftErYVWZapqKjw6o1paEiZn58fHTt2pE/v3riO72DHR89QfCiNjLzuHDzWm2pXDWnGw1RaDnBiOmS1Vs2oqUYuv7kGv8Du/Hfjy/x6vBN9o110M37DJxu/xKDV8+LU+7hrzJR6w9Syjqxi+ZfXYbWUcySvI4uX1zBmzFj+85//4O9/BgMJEbQIiDZFOM/Jbkh7FwLiodP4U5c/lboJ/IkjIaRLy48ntEsiYBFaX00BZKxVelUC4iF+GOh8cTqs/Lz8fvb89j8MPiGMu2ohHbpeRk1NDQ8++CDff/89HTp04N133yU5OdlzOJuznK0593Ok9ANUkg5sM3nt+2J2rtmMtLcI2WKvV4U+ffowZ84crrrqKtRqNWkrd/Pug59yfF8uvgFquibtJNJ/Nxq9nuDe46gM70VWjQokCX9/f7p27UpKSgrx8fF/+V6U1mKxWCgsLPQEMHl5eRQVFQEQFhZG7969CXcWsefT58jYfphd6cMprwykOtjNBvdeXBV7ObHHxRSo44rbHIyYpKHI/BjzVlyHJKm4vlsO63e+RGZxLuN7DOa92+YRHeQ9t6Wy/BhLP72a4oKd1DqSePszM/EJXfjkk0+Ii4s7cxfCK2i5HPR+Z+5cwjlJtCnCec1WDXs/g/AeEDe45cezlMP+ryCyt7JoryA0QAQsQuuRZSjcBbm/KYvtxQ9VFpWSJKoqslj2+TUU5m4jrsNFjJ/0Eb7+0aSnpzNz5kzS09OZMGECr776Kn5+f/wBmFO5gg1Zt2J25GFSj2PJpm58+vFi2FMANfUDlZEjRzJnzhzGjBmDJEnkHMrnnfs/Zvvy3Wg00CFuHx1j9uAfFY0udTyZqigsLmUyfEpKCn369KFDhw5nflX1dqKwsJC0tDR2796N1WpFpVLRtWsyce5Cjix6he2/BnDkeCo6o4a8nqFsSV8DZbs5scclMknD1P9z0mvUEN5Z/yobs0JIDXeSrP+Ur3/9niCTPwtunsvkC8Z67eewm/lxySwO7PoISR3Ou1/JSJooPvroI3r27HnmPnhpOmSuA0OgErRoWn/xUOHcJdoU4bxWlQvpy5TEOeGpLT+e2wU73oPABOg4ruXHE9olEbAIrcNhgcyfoCobDEHKYntGJeVs1pHVLP/qOqzmUgaOmMugi55CpVKzdOlS7r//fqxWK3PmzGHWrFmeQMHhqubXnL9xqOQt1JIfx7Jn8tI7a6ndcBgqrPVOP2jwIJ579jlGjRoFgM1i58tnv2Pxv5bidLiJCc8gJWknEd27YkkYynF3EEgqwsLC6NOnD7169cLHx+esXa72xul0cuDAAXbs2MGxY0pWtciwEBJsGez6bAm/7eyNzWGky6gEFuMmc/tXUHWk3nFSh8B1D/tgC3iRZ5aPR6eWuKn7Ab7Z+ArF1eXcNGwib05/FJPhj6w0siyza+t/WL/8AWS0fLfWn6x8EwsWLGDMmDFn7kMX7oGczX+k4xSLS543RJsinNdKDipZwjpdrIyiaA17v1DeU69tneMJ7Y4IWISWq86HY2vBYVZ6VOKGgFqL7Hbz2y//ZNPax9Dp/Bg/6SM6plyO2+3mpZdeYv78+YSGhrJgwQIGD/6jWzm/+md+yZxBjT0TnCN48/NAtn/9E2RX1jt1z149ee7Z55gwYYIn2Nm2fBdv3PY/SnJr8DOV0yt5GwlDUikK7kG5KhCVSkW3bt0YMGAAcXFxojellZWWlrJ161Z27tyJw+Eg2KQnvGAfK94roKQ8ktBIia73Xs5zX66g6uASsBZ77a/Rwvgb4KJZV/DGuhfIKNUwuoMNqfK/rNm7kdTYTnx974t0iUrw2i8ncz1LP7saq7mczbvD2LhdzfPP/5Mbb7zxzH3YnC3KukKBidBhjNKzKLR7ok0Rzmu5vyrrsHSbDMag1jnmkZVKkp6+t4r7qNAgEbAILVN6GDJ/BpUa4odDSGcAbNZKVn59ExkHlxAa0YNLr/uaoJDOmM1m7r//fr7//nt69uzJwoULPSvWu2Un23MfY0/hC0gY2bv/el7/1w849xeA2/ufaYdOHXnumWeZPHmyZ45JSU4pr9/0MjvWZaNWOUjusI9uY6LIDe6BQ+ePr68v/fr1o1+/fl7DzoQzw2q1snXrVjZt2oTdbidC5yR38W/s2haCSu1m0v+lsju6D6/8+7+4s9eCy+K1f3gs3PJiPAe1H/Lt1ljCTBKXxq3mw5/exqQ3svD2eUwa4L2IaEXZUb77aCLlJQc5mhvONytV3HX3PTz66KNnJjCVZWVoWNkRCE1R5muJALjdE22KcF7LWAvlR6HPLa3Xs5yzVRlS3ppBkNCuiIBFOD2yDPnblXSEOl+la/j3IWCV5Zl899GllBXvJ7nn9Yy54i20OhOFhYXcfPPN7Ny5k4kTJzJ//nzPMCyLo5B1GVMpqPkJu6U/L76kIWPFNrA5vU7rHxjAU0/O46677kKnU/K1u91uvnz8v3z54kYcDjVRYdmkjtFQldADlyGQuLg4Bg4cSEpKCmq1uvWvhdsBjipwVCtfqw2/v4zK+8lu6LIMLquyv7NaOYaj5o+vnTW/bzvx62pl3K/OH7SBoAsAXaDytdakrHeDkkRAeVql8v5D2uu//Qm3AEkFSGAIh6DeoGnZomBms5kNGzbw66+/4nI6MR7L5rcvqrDaDKT2quSqVx/gbx8d4JdlH0DRr171Uavhirv1JN34Am8tmUi19f/ZO++wKK63Dd/LLr1XqYogTUWx9xJ77z2KJRpNjMbYY4w10cRu7LHXqLH3gr1h74KigiC9d9g23x9jFvlpYvIFNOrc18W1sGMpU98AACAASURBVHPmzJkB9swz532fFwLLP+PI5RkkZKQwsmVvfuo2DH1FgXtbXm4ah7Z1I/LJcVIybdm4R0HXboHMnDmzmH7/Gnh8BDKjwbkqOFUu+mNI/KeQ5hSJj5qQ3aKpToXeRddn8iMxrNyjKViXLrp+JT4YJMEi8c/RasT41ZQwMLETxYq+KDxioy6zf3M7cnISqdvsZ6rUGY1MJuPevXv07duX2NhYvv76a8aMGaNbGYnPusDJp13JUcZy/nRj1s++gpBQuDq9np4eg4cMZtrUadjZ2enef3jqBAv7LyfqmRFGhjn41c1Ev1p5ZKY2+Pv7U716dd0KDqoMSLkNyhRQpoMyFVRpoPzjK1V8X50FCC9u6l96ffl7reqFeMgA7at1Xwohk4PcBPTNQWEqCpiXRYmg+ee/Az1DsR/1a4pjFiUyOVj5g201sKsGtlXBwk9cUfuHZGRkcObMGW7evIkyOZPn2yNJjjPA1iqBflOqEefdmeE/bCLx9nbILvz/6lsVui7oweark3kao0+j0jlkx8/j8pPb1PUOYMfw2ZSwtNW112hUnDn0NXeuLCNXac6G3UY0atqVBQsWFI81tUYJD/dDbjKUagB2Pm/eR+K9RZpTJD5qbm8oMBwpKrITIHQPOFcDp0pF16/EB4MkWCT+Gep8eHIMsmLFZLvSjUEu3gCG3dvBkZ19kMlktOi8iTLlOgFw/PhxvvjiC9RqNXPmzKFLF7HQlCAIPEj4hSvPR5Oeasjsyc7EXAp75YF/46aNWTBvAeXLF7iRpEaEsGnEZE4dBJXaEKfSqTi198S6VGmqVq1K5cqVxdWb9FB4fgBij0LCBRAKr9gUQs8ADKxBYfbSaoTsxfeyl75HrC2jsAB9C9A3e/FqDjIFaJXiqokm98VrHqhzClZIBPUL8WIu7qswF3/+o5+Xf/7je4XZi/de7PdHNWCtShRZqrQXIixNFEKCAGjFV0Fb8P0r4Ur/+7NQsG92FCRfhaSrkBdX0ETfEuzrQIl64NoOLLz+/Jq+huTkZE6fPs2d23eJORBB3E0NRgY5NGoWS6sf5/PLiRTmz52DEH2al22QTS2h9wxf7tuv4fxVB9ytoY7NTjaf30pJW0cOjFqIv1vBWARB4FbwIs4cGoFKY8TmfaZUqtaG5cuXY2ho+I/G/LdQ5YgTrjJbrE1QVMmoEv85pDlF4qNFo4Rb68DGC0p/Ugz9loHSjYquX4kPhncmWJo1a0ZcXBx6enqYm5uzaNEiAgICCAsLo2/fviQlJWFlZcW6desoW7YswF9u+yukyaWIUGaLVoZ5aWBfTvRfl+khCALXzv3MhePfYmLmSLtP9+HoWg2AHTt28M0332BpacmaNWuoXl30WFdrczgXMYCnKdsI2uXEtgXJr9RTcSvlxi8LfqF9+/a6/IOclHhOz/+W3cufEJdUEgNDFe6tLKjYoS7Vq1fH26sMeilX4fk+iNoHmWFiZ3JjKNEQSjQA4xKiMNG3AsMXYVQG1mL4lpR/8CqCALnRonBJviIKv+RrBeLPoR549oeSnUDx953W4uLiOHHiBJd3XuPZvgQErYC/9w06ju2GrPpn9By5lLAzv4oi7CWaBtrgMHA1Ww+VR18mo4/vddadnIOhvgFbh86kdUC9Qu3D7u3g8I5PUakFfj9sjrtXU9asWVM8rnB5aRC6V1w1824LpvZv3kfivUOaUyQ+WnKSIWQnOFUB5ypF2/edTWJIs1/Hou1X4oPgnQmWtLQ0rKysANizZw/Tpk3jxo0bNGrUiMDAQPr168eOHTuYO3culy5dAvjLbX+FNLkUAcpseHQA8tPFqvUO/iCTodVqOLlvCPeur8KuhD/teh/Awkp8srx69Wq+//57XFxc2Lp1K56engDkqhIJetKWh08vM/9bW2LuJBc6lEJfnzFjRjPxu4m6m0qtWsXN7fM5Nn8p125XRakyxs5HTutJ7WjQtB72ihh4tAKe74e8eLEjY2dwbQOubUWhIpdqZRQZ6mxRuIRvgsjdYlicviW494Qy/cHm7y/pP336lJ1r93B50S3y0wVKOT+kXpNcGk5Yz+Lj8cyYOh5t0p1C+/hUMaTFktmsD2pKWro+Pcs941jwdFKzM5nTcwQjWnxaKMk+Kvw0+ze3Jz8vm32nzLG0b8DGjRuLx3whKw4eHQSFIfh2EHO8JD4opDlF4qMlLUKMsiiOqvSPDkB2IgT0kx4eSrzCfyIkbP369SxatIhDhw7h7e1NUlISCoUCQRBwcnIiODgYExOTP93m7u7+l/1Lk8u/RJn1QqxkgFsdcCgHgFqdz9EdvQm7v4NSZZrTqvt2DI0sEASBefPmMXfuXDw9Pdm6dSsuLi4ApOeFcTSsBXs3h7N1vh5aZeH8jUZNGrF08dJCle4fndnD+YXDCbllQWh4AHIDGW0mNKX32K4YpV2EkHkQe1xsbOknhim5tgPbKh+sPaIgCGRpc8jUZJGhziZXm4cGDVpBC8gwk5tgJjfBQm6Gpdy8eK2b81Mg4jd4vBrS7onv2dUCv+Hg2v5vucgIgkDw2cssHbietMdZ2FjGU6PiJRqM+AkqdKV9vwk8ubhBDIF7gbW9jC/WjWbL00AiIo1p6pVMZNhPPIyNYFDDjizpO75QMn5i7G32bGxJVmYsJy5ZIDdtyJYtWzA1NS3qKwIpT0Srb2MbMc77jxA+iQ8CaU6R+GiJvyPaufu0AzPHou078jwkPgD/XtKDHolXeKeVzgIDAzl16hQAR44cISoqCmdnZxQKcVgymYySJUsSGRmJqanpn277X8Eyb9485s2bp/s5Kyvr7ZzQh8jLYqVkXbAXQ/BUyhwO/NaJZ4+P4lW+Gy06b0SuMECr1TJ58mRWr16Nv78/W7ZswdZWTIZOyLrE5tOtWDIpnSc3BaBArNg52LP4l0V069ZNd3MdFXKTk3O+IDP0Jrce1iE+2QUHT1sm7xtBSeNLcKo+pN4WRUmpruA3UhQp7whBENCgRY7evxYIgiCQrE4jVplAtDKeGGX8i9cEYl78nPumZP8XGGgU2CotsFdZYo81JRS2OBmVoJS5C6VsSuFm44qB3r9IRDe0AZ+h4P0lpFwXV7oitsK5nmDqDv4ToHTvvxQuMpmMWg1qUulOAD/1Wcj1nXD2ehOUP4/Dq8Fh7uxbx+RfP2HOlK8hT1yRS00U+Ln9bL6cGcGZshM4/sCWCiUn84n1clae3k1USjw7hs3WFZm0d6pIt0EX2bOhBU1qPeTc9ZMEBgaycePGog8Ps/EEZaZYr+BpkGhM8YGKZwkJiY+I/Azx1aAYVqeNxKgb8tIkwSLxCv+ZFZZt27Yxffp0AgMDuX//vm5btWrVmDt3Lqampn+6rX79+n/Zv/Q07P/Jn4iV/Lx09m5qQ8yz85SvMpBG7ZajpydHo9EwcuRIfv/9d2rWrMn69et1ITcRqbuZvrAbG39So/qf++xP+/Rm4fwFOmETGxPDiWXfk3VhI5npZlx71JScLAMa9anBV+MM0A+bA9kRovNWmf7gOxzMit8GUSWoeZIbyf3cMJ7mRhKrSiBWmUiyOpUsTQ7Zmhw0LyWJG8oMsFSYYyk3x0phgYO+DXb6Njjo22Kvb4O9wgZ9PX1RgOQnEKMSX6OV8cQqE8gTXhUk+mo5tkkm2EQZYBmjj0mGAuMsBYY5cuRqGXoaGYJcIM9EQ56phmwrFWn2+aSWyCfNIZ9sq1dNB+QqGU6RZpSMtsYjwR6/LDd85KUwL2mLib89phUcMLD/hzf0eQmicHm0FPKTwcIHKk4Dtw5/a6l/+6y9bBy/AwNDFTXLHcXWxYDmU7cTrnGiVbuuZMYUDhFr/2l1cjou4fhla1zs86lusoXdwYeoVaYCB0YtxMbMUtc2NzuJXeubkRh7k4u3zMC4BevXb8DY+N/ZN7+CIIhueskPpRotHxjSnCLx0RJ2GDJjxBosRf15lhEt5sm61QaH8m9uL/FR8Z8QLADGxsZERETg7e1NcnLya0PCvLy8XrtNCgkrBpRZok2rMlMsCGnvB0BOVgK7N7QgMfYmlWuPpF6LOchkMrRaLd988w2///47TZo0YcWKFbobwFtRCxjx9Tec2V34EM6uLqxc8SutWrUCIDExkeO7NpN8aD6G6ZFEpVXg7oMAZDIZkxe7UNFhJ7Ksp2BgA77DwHsIGNpSXKgFDXezH3I56xbBmbe4m/2QfKHAGEAmyLDVWGCjNMNEaYhxvj76GjmCQgYKGUoDDVmGeWTq55IqyyRTeLMFsYGgj2OeFXbJplg/M8AyBKwey7GNNcI2xgjzFAMMS5hh7GWNUWkr9O2M0bczRmFrjL6tMQo7YxTmBi+MvgQEraB71eaqyU7LIC5LXKV5LiQQo0gi0iyJZ/ZJJFvn6MahyJfhft8CnyvW+F6xwjvFGeuqrljUdMayUSnMKpf4e6tIynQImQ+hC8W8F9uqEPADOL7ZBebc9svM7b0MmUxNlbKnsbeMoUynkdQYMJ2mXQYTfHRjofY163tSYfxWVp62wsxETROXnew+s5PyrmU4OnYJztYFCfB5uansXt+C+OgrXLlrimDchrVr12FkVMR5ToL2xQQfDS41wLFi0fYv8U6Q5hSJj5Z720ShUq5b0fetzIa7m8WHoyXrFn3/Eu8170SwZGRkkJWVhbOzMwC7d+9m2LBhREVF8cknn9CvXz9dYv2cOXMIDg4GoGHDhn+67a+QJpd/iDoPHu4Tl2VfEivZmbHsWNOI1KRQajWaRvWGE5HJZAiCwNixY9m8eTNNmjRh1apVuqKOR66O54t+PxPxoPAhBg8ZzKyfZ2FhYUFmZiYngo7z+NBKzJ8EgUZNrKwP188IVKomMH7cE0zyrotJ3X4jRLGib1Esp56nzedS5k2C0i5wOjWYdEEMJzRUKSgTZkvJayaUvG2CS5gZ1nGGKNR/P8xHcDNCWdOEHF85aVa5pFrkolQrsQyVYXZDg+U9AfNUfWQvrIbl5gaYVhBXOEwrOmBawR6T8nYozIvBkhdIV2dyPyeMWxkPuJl2j1vKUHJl4iqPaZY+FU7aUinIHt/L1pg5WWHb0Qv7br6Y13J5s3jJS4B7P0HYr6Lts1NTqDofLP46afPOqQf82GEBeTl5VPC/jZvFHQw8a9Bu5m6WbDzM5PFfIahzde09fewZuPAAk85YI1cItPTey+6jv+Fu58zx8UspU6LAajg/L4M9G1sRG3mBGw9MEEw6smrV6qK3PNYoReewvFTwaALWHkXbv8RbR5pTJD5KBC3cXAMWrmKYa5H3L4jWxqb24N2m6PuXeK95J4IlKiqKzp07k5ubi56eHvb29syZM4eAgAAePnxIv379SE5OxsLCgvXr11OunJjk/Vfb/gppcvkHaJSiw1FOougGVqICIK6s7FjTkJTEEOq3nE/l2iMAMddi4sSJrF27lgYNGrB27VqMjIwQBIH5m3ozadgWstMLuje3sGDzpk20bdsWtVrNpUuXuHB0L2Z3t2OQHoWBbWkiMnsTeuEhQ7+Mom7ADWQI4DUYKk4R8yWKmGxNDqfTLxOUfJ7zGdfI1RNXUVwfmlLhjB2+l60pfdcCEwcLTMraYuJnh1FpS+QWBsjNxC89M33kZgbI5DK0OSo0OWrUaXmoEnNRJWSTH5FO9v1kcu4noc1RFTq+3NwAEz9bTMraYuxnJx6jrB1G7pbI9N5dCJFKUHM3+yHBmbc4lX6JkNwnAJgqDalw0Z6Ke6woe8kG85I2OPQuh+NnFTB0e4OQzIqAO9NEdzE9Ayg7GsqNA8Wfh2OF337GlJZzSI1Lx79GAqUMj6I2K0HA8BVgWZImzVqQm5Gga29rb8L3Kw4w/rorWqBlxUPs378RO3Mrjo5dQkCpAkMHZX4W+za343n4KW4/NMbQpg9LlixFLv/nhTH/kvxMsUaLRgk+bcHUoWj7l3irSHOKxEdJfibc+00M13KrXTzHCNktRnhU7FM8/Uu8t/xnQsKKE2ly+ZtoNfD4iBi+4lgJXMRaKrk5yexc8wlJ8Xep33IelWt/A4hiZdq0aaxYsYI6deqwfv16TExMEASBT0fUZ+vi82LNwhf4+/uza9cuPD09CQ0N5dixY+Q9uoDVw/3INPmUbjqUI3utcDE4xeB+DzA1ygK7GlDtl39kk/t3EASB69n32BV7hGPp58iTq5BpweO2JQEn7ah6ryTe/mWxbOiGSTk7TPzsUFj++yfvglZAnZqHNl+NkK9BZiDHwNmseF28iojI/BiOp53nWNp57ueI9W3M8o2oEuRA9e22eIRYYd/ND9dR1TCr/Ab3mISLcPUr0VXMvAzUWgP2Nf+0eXxEIpObzyL6URwNOptjnrQcQWGIectR1Ok8iHqNW/P8aUF+m5GxgkkLNzEjqgr5aoEW1YM4uncdpobGBI1fRmV3P11btSqXfZs7EPnkGDdDTHDxHs6PP84o+t9JdoIYZik3AN/2YFg8q4QSxY80p0h8lLyNHJPwU5ASBhX7itbwEhIvkASLhIggQMQpSHlcKEE4LzeVnWsbkxh7kzpNf6Ja/XG6XWbNmsWCBQuoVq2azh5WqVRSp11lrh29X6j7Tz/9lF9//ZWsrCyOHDlC+JMwrMKDMI4MxsjKHr+ei9k24zi9Wx0hoHw8gqEdskozwaNPkborxSkT2Zdygl3Rh3muJz6Vd79rTu0jLtTLr0DpWmWxblYaE3/790JEvCui8+M5mnaO/SknCMuLAMApwYJqv9tS/VAJPHy8cRlVDZtWnn++SqRVQchCuDMVBBX4jYIKk0D++kkqJTaNbxv8SExYHN3GVCbv1kS0ylyU5drSdNjPDPpyFOdPHdK119OTMXHWUn7JbEpmvkCzWqc4uWc1xvqGBI1fRpXSBUVn1ao89mxsw/PwE1y9a0qVelMZOWpUkV0vHanh8PS46Ibj016akN9TpDlF4qMkMQQiz4nhYJYl39z+/0PsTYi5Kn4+mpUonmNIvJdIgkVC5Hmw6K9u5S7G2cv0yM9LZ9e6psRHX6Vmo6nU/GSSrvnSpUv54YcfqFSpElu3bsXc3JzU1FT861Uk+n6Urp1cIWfhgoUMGTKE4OBgTp48iSw7CeenB1EnPMGpYgOcGv/AxYVTGdD9ImamKvAcAJVmgqF1kZyaWtBwNv0K22MPcDH3JlqZgHmyPjUOOtI0ogJV2tTDrptvseWGfMgIgkBo7hP2pZzgYOopUtTpyATwu2xDnR1O1Ij3wmNCPey7+yKT/4nwTLsPlz6DlBtgVV5cbbEJeG3TpOcpfNvgR+LDExk0py2pl8eRFx9OjlNlyvWfwc69h1mxdGGhfcZOm806OpOUraFxzVOc2bcKE30jjo9bRlWPAtGiUmazY21T4p9f4sINM9p0W0zfvn2L7Frp+KOOgbkzlGkJekUcfibxCsOHD2ffvn08e/aMu3fvUr58efLy8ujRowcPHjzAxMQER0dHli9f/kYTF5DmFImPlOeXIf62mHD/hwVxUfNHYcpSDcDO543NJT4eJMEiAfF34fklMC0B3q1BT4EyP4vdG5oTG3mR6g2+o1bj6boVh127dvHVV1/h6+vLrl27sLKy4nlcLOWrBZD+vCCXwNTSnCMHDuHv78+ePXuIiIjAPi8Ko1vbUedlUan3d8gdW5F6YACN6z5BpWeDfr3V4Nq6SE4rRhnPzqSj7Eo8QqI2FT21jPLnbah3shSNvRvgMqASpuXs39yRxN9CJai5kHGN3cnHOZ0ejAYtFikG1NrjSNN75ag6rDm2Hb1fv3KlVcH9n+HuDPFn/4lQbuxra7ckPEtifP0fSIpK4evVfcm89QMJt0+TZ1MGk2YjSM7MZfzYsUDBR9uwMRPZaTGA2EwNzeuc4uSeVRjrG3J83DKqeRTkweXnZbBtZQNSEm5x5qo5A4Zupm3btkV7oQQBoi6IBdJsfaBUfcnuuJg5e/YsHh4e1K1blwMHDugEy8mTJ2nZsiUymYzFixezb98+jh079sb+pDlF4qPkyXFRUFQaUHwPWvLS4P52KFERXGsUzzEk3kskwfKx80dFbiMrsXKtwgiNRsW+TW159vgoVeqMpm7zWbqbzAsXLtCrVy/s7OzYv38/zs7OXHv6mEYN65MZFavr1sHViYunz5Gbm8vBgwfJy83FRxNOxrkNGFnZ02jiZhKjsrEKHUzpkqlkm9TDtOVvYPTvkpFVgpqz6VfYkXyY8xnXERCwiTWkzm4nGj8qT4XPG2LXxQc9w3daM/WDJ1GVwp7k4+xIPEy0Oh4Av0vWNLnpR8cO3bFv5fV64ZJ8Ay4NgPQHovVxnY1g9KqojHuawPj6P5Aal87oTYNRR6wk7Mg6VGaOZFYbgJ6xJd9OmIBWU1CctO/nwzjqPILEXC0t6p/i+M5VGCsMOTZ2KdU9C+Kx83JS2LKiDhkpoZy8bM34KQeoXbuIE0wFLTw+ChlR4FwVnCoXbf8Sr8Xd3V0nWP6Xa9eu0aNHDx4/fvzGfqQ5ReKj5MFO0OSLleiLC0ELN1aDpVvxOJFJvLdIguVjJjMGwg6BwkiMFzU0RxAEju3sS8jtjZSr8hlN2q/U3ViGhITQoUMHAPbs2YOfnx8H7t6hZ9t2ZD17puvW3bcMF0+eJTg4mDt37mBqbIRPxnViz/+OjWcFWsw8SOSJ3yiVNQVjIxXpjiOwbvLTv8pViVUm8HvSYXYnHyNRnYKeVob/GVvq7nSipn4FSo2rhXULDykv5S2jFbRcyrzJtuj9nMm5ikZPi0WSPp9c9WZAo/541nyNy58mD66PFi2QTUpC/W1gW+WVZjFhcXzb4EfSEzOZfGgU2uhdXF83BY2ZA0kVeqMxMGfGzJ9QKQsKcHbs0Zez3hPJUEKrhqc4vH0VJgojzk5chb+bl65ddlY8m5fWJCczgqBgZ+YvPY2Xl9crY/hXaJRiEn5usrjKYudbtP1LvMJfCZbAwEBsbW2ZP3/+K9vmzZvHvHnzdD9nZWWRlpZWrGOVkPhP8TYth+9vF49XvnvxHkfivUISLB8ruSlirRVBEFdWTMQCjOePjefauZ/x8GlLm5670JOLKxExMTG0bduWpKQkNm/eTN26dVkTfIlhvT8n58k9XbeuZUpzaNdeTp48SVpaGmVKuWB+eytxN0/gWq05TSZtIWb3cNzl28nMNiI3YCUO1f9/H0qCIBCceYvfkvZzOv0yWrTYp5tTa5MdtfY64lG7HG7jamBR2/XfXy+Jf02iKoUd4QfYEXuQeIsM5CoZdR558Xmt/gR4viZn5cl6uPKV+H31ReDZ75UmkQ+iGVt7GgCzL00i9d52gpeMRGZuT3y5XuTrmzNv/nxysguKdrbu1JPzZaeRr5XRosFx9m9ZjZ2ZJRe+X4tnCTddu8z0KDYsqkxuThKnb/iyduNZ7O2LOIRQlSPWaFFmvajRUrpo+5coxJ8JlhkzZrB//35OnDiBiYnJG/uR5hSJjw5VLtzZKD5YKVW/eI/15BikPSve0DOJ9w5JsHyMKLPEmyR1rpj0a+ECwN1rKzmx93Oc3GrRqV8Q+gbixJ2RkUHHjh0JCQlh8eLFdOzUkZ9OnmTq8B/Jv39K161jKVeWLVjEnTt3kMvlNKxekdjfviPl6R18Ww+k7pc/kLqjNbaKOzyJLIF5h/04+L0+ufqvyNRkszc5iG1JBwjPf44MGZUjS1FzngVlz1tj29wT9x/rY1ZJchj5L6IVtBx7EMSa0K088BDDCP0TSvJZxd40KlEHvZdX2pJvwNlukBMJZQZB1XmvuIjdCrrH5BazcShlx5zLU4gJ3sq5uYPRM7UhrlxPsvXMWLFiBampqbp9Wnb6lHO+k9HK9Ghc+wAHtm6gpJ0jF79fh7N1gShJjLvDlmU1yM3N58aTuqzbeORv3dD+I/IzxP9HjRK8WorJ+BLFwusEy5w5c9i6dStBQUFYWf29RGJpTpH46MiKh4d7waU6OP7zefsfEX0F4m5B2S5gXPS11yTeT4rOL1bi/UCdD2GHQZUN7g11YiXySRAn93+BpbUHbT/dqxMrarWazz//nJCQECZMmEC7Tu2ZcPQgk8auKSRWrOxtmfbdJG7fvk2JEiXo0aIeESuGkPL0DtUGzaDekG/J3V0HW8UdTl2pgEWvK/9YrDzKDWdq5CIa3evNT9HLSVal0TG0OtO71WJgB3dqq/0JOPUp5Q91lcTKfxg9mR4tyjVje+c1rEodT+0LJblvHcWI2Bm0v/QZR1PPof2jgI9tZWgZDI6N4fFKCGoCubGF+gtoUp4vlvYl7mkCMzouoEzTfjSauBkhJw2ne5sxU6cxcOBAbGwLXOcO79pMndCpCFqBs5fb0LpLF54lxtLo58EkZxaE+tg7VqBj4AEMDWWUL3mBb77+DM1LeTFFgqGFKFRkemJeS05S0fYv8afMmzeP3377jePHj/9tsSIh8VGSnyG+vo36UX84kOVJYZcSBUgrLB8TWrWYs5IVBy41wLEiAMkJD9i2Ukwq7vF5MDb2BbH0kydPZuXKlfTu3ZupP09n7MH9LPnhDMLlxbo2hibGTJs8hdzcXHx9fWkYUIYjY5qjysmg4fh1lKnkg/JoaxSaFLYdqkPT2Tuxc/17T020gpazGVdYn7Cbq1l3APAz8qTV/QA8vs5EL0aJib897jPqY9PaU8pReQ8RNFrubTzHukfbOdUmAqWxljIyN4a596ORZS3xd6rVwO3v4cEcMHaG+tvBrnqhflaN3Mze+Uf4pE8dvlk/mGcX9hE0tRt6+kYk+PcmNk/Bxk3rSU1J1+3TuGMfTnt9j72FnADftRzZc5DKHn6c+XYlZkYFKyn3b6zj+O7+xCcrMHIYzeQpM4v+QmTGiA8T5AZimKaRZdEf4yNl6NCh7N27l7i4OOzs7DAzM+P06dO4ubnh4eGBubk5AIaGhly+fPmN/UlzisRHR8x1iL0Ofp3AxK54j5WdCKG7JUMSiUJIguVjQdCKloTpz8DBuLn4uwAAIABJREFUH1xrgkxGTlYCW1fUICvjOR37HsXNo5Ful61btzJy5Ehq1KjBum0bGH3gIKtm30bv6s9oNeKfjZ5CzphRozE2NiYgIIBaPi4cHtscVW4WTafupFRJGdqzvVDlK1m2qSFdlq7B1cfpjcPN0+azL+UEGxN2E57/HIVMQQur+rR+Uhnj4U/JfZCCgZMZpX6sR4nA8n9e40PivUGVmsft6UfYJBziTLdoVEZafA09+MolkAYW1UXhErEVggeDoIGaK6F0T93+Go2WGR0XcGX/Tfr82JVuE9oRdeUoR79rh8LInKRK/YhIyWPz5g2kpWXq9qvdpg8Xfb/Hy1FBSafFnDh8igblq3J81BL0Ffq6dheCpnL1zBTCnxtQvckqPv20T9FfhNRweBoEBmbg2x70izj8TKJIkOYUiY+OPyrQB/QTH6oUJxqlmOBvUwZKN3pjc4mPA0mwfAwIglidNilU/ABw/wRkMtSqXHasbURcVDBNOqyifJXPdLtcvXqVrl274uDgwI7De/j++Gk2LApDcXMG6lylrt1nAwfi5upKzZo1qeLhwIFvGqHJz6XZD3tws4lCuDKMzCx9Zi1tRN/V8/Gq6vGXQ01Vp7MlcT9bk/aTqs7AQm5GV7tWdEypQ9boW6QeDUfPWIHrmOq4jqmB3KyYPzgl3jqZV2K4Nm4veyrf4GzXGFSGWupZVOVb1y8oaegMKTfhdCfIjYaAH6HsaF0dk9ysPMbVnU747Ugm7PqaWh2rEnFhH8cndcbQ0o6Uyp/xMDqZLb9tICM9R3fMqm0GcM33W6q4yzE0/JmLZ67waf1WbBxYUH9IEAQObg/k8b1N3Awx48sxQdSoUQx1ApJC4dlZMLYV3XgUUkHT/xof/Zwi8fERuhfy06Fi4Ns53p3NooNp2c5v53gS/3mkx9IfA7HXxZsgC1exeqxMJtoX7x5AXFQwVeuNKyRWoqOjGThwIHK5nCVrlzPhyEk2LIlCP+SXQmKlfccOuLm6Ur9+far5uHFodDM0+bk0n7EPN6NguDKUhCQzxv/QjK7zZvylWElVpzM/Zi3N7vdjWdxmTPVMGO8yhCNuK2k3uyRRAXtIPRqOQ59yVH00iFJT60li5QPFvLozDYMGM9Z9CD/2qkuNAyU4l3GNDg+GsCR2E/lW5aDFObAsB7e+g6tfiyFjgLGZEd/vH4mlvTkL+68kPiIR9zrtaPTdJvJS47G/s5Gy7k707NEHcwsj3TGvHVhDwJPFXH+mxUhvLGUreLP57CG+37tM10Ymk9Gy82qs7atSyS+LWdM7ERUVVfQXwM4XnKuJdsdPjomhnBISEhLviEPLgtiz6u7byV/5AyMrUSB9+M/UJf4mkmD50El8ALE3xJhTjyY6i8AbF+by6O5WPP06UqfJDF3znJwcBgwYQGJiIj/9MpvlYaFsXh6PQdQmVKkpunZ16tcjoEJFGjduTBXvkhwa1YT8rDSaTNmGq7Af7s0gItqB0ZMb8en8cVRs/Jp6G0CaOoMFMetofr8/q+O342zgwCz3cez3XUnTwx488N1IzIJrmFd1JOBKID4b2mDo+hY/NCXeCTK5Hi7DqtDkwjBG3WrPyIEB2IUbsixuM+1DBnNWFQPNTkOJhhC2HM51F13vAHs3W0asH0x2eg5zei1FrVLj2ag79cesIjshErs7G/H3KkXPHoGYmBaEfN3avRC/8LWcDBXwdZuCa0knfty5ilUX9ujayBUGdP3sEPqGJahdIYaRwzuS/ZJlcpHhGAAO5SErVgzllESLhITEO+DQsiCWfbme1XMfcj044+0d2MhK/NxTZr29Y0r8p5EEy4dMajhEnhefipRpqYs7jXp6kvPHxmFjX5bmndcj0xP/DARBYNSoUdy9e5ehI4dxxlDFmtmRKLIuonxWUGvFy9eHxg0/oWXLllQu68XBMc3ITY2n0YR1lBK2Q9gKnkSXZuzkuvT6aTB1ulR/ZWhZmmx+iVlPs/v9WBW/DScDe+a4f8tu32XUD/flfr3feNTvEAjgtaYlFS/2wbzam3NfJD4sDJzMKLuzI+0m9GPSsHp0mu9BUlYSXz6dzOjopaTV2wzuPeD5PjjRHPJEh62qLSvSYVRLQi89ZsuU3QD4thpA7eG/kBn9GLu7mynnVZru3XpjYFjwMRiy40c8In9n1w19WteejpWNBUNW/sjRkEu6Niam9nQbeAy53IAAz5uMHNEfrVZbtCcuk4FrLbD1howoSbRISEi8dS7vu8GKrzbg5GGHsYmcJRODyc3KezsHN37h6ig5hUm8QBIsHyqZMRB+EhTG4NUK9I0ByEiL5NC27ugbmNGm5y4MDM11u6xcuZK9e/fSrGVz0mt7sez7MOT6aahv7dK1sbKzoXOHjrRr147K/uU4Mr41mTFPqffNQjxlW+HZ70RmVmPMxCp8MqAFLYc0LjQsjaBhZ/JRWj0YyK/xW3E0sGO2+3h2+S6lsVCNp0ODuFl1PZmXY3EeVoUqDwfh2L8CMj3J/etjxq6zDzVuD6RHZmMmtatKpWBHjqSdpf2jrzlVboiYx5IUDMcaQOZTAAJndKNM1dLsmLmfW0Gi4C7faRjVB80kPeI+JSMOUqFcWbp3745cUfD39XTbBEpEHWLFGUsGtJuMvr6CzgtGczv6ka6NvWMF2vTciqmxFhv93cye9UPRn7RMJoZwFhItRWypLCEhIfEaHl15wqweSzCzMWPK9k8JHOpOYnQmmybueDsDkKyNJf4HSbB8iOS8iH2X6Yn1HV7EnapVeRzc2pncnCSad96Ajb2Pbpfg4GCmT5+OZxlP3Aa2ZuHYEGTWJmjPz9a10TcyoHePXnTv3p1KFSsQNLUbSY+uU63vGHwNfofYoyQZtmfYUHdKVSjDwHmfFhrW9ax79Hj4NZMjFwAwteQIdvsuo4VFPRJW3uWa90pil93Eoq4rlW/2w/OXJuhbGyEhAaBvZ4Lfro5U/7EDg0eXp99EX/JychgWPp1pdk6oqsyFzMdwrD4kX0ffQMHYrUMxMjNkXp/lpMaLdsYVe42jXKdhJNw7j2/6ZQIqVKZLt7YU1KsUiN82AvPosyw9UYove4wmNz+fFvOGkZCZrBtPmbIdqVZ/EiVs1YTfncnu3buL/qRfES3HJNEiISFRrORm5TGzyyIAJh0YibOLPq26OuFXoxT7fzlGaPDj4h+EJFgk/gdJsHxo5GfC48Ni+IhnM51fuiAInDzwJfHR16jeYCKefu11u8TFxTF48GCMjIxo+P1A5k4IRWNujez8VARNQahL105d6Ny5MwEBAVxcPIKoy4cp17onAQ4nIOkSOa5fMnyILcbmZoz7/Sv0DcX8gFhlAqPCZ9I3bAxhec8Y4NCFQ2VX0dm2OXkPUrhdbzOPBx9Fz0COz+a2VDjTC9MKDm/3ukm8F8hkMhwHVqTyzf40TghgYtvKlA1xYHvSIboJD4iruQRUGWKByZijOHmWYOiKAaTGpbOg7wq0Wi0ymYxaQ+fjXrcDkWd3UEU/mmqV69Op20v2mYKWzG1foI25w8bzlRnQuS9xCYk0WzQMpbrAeKJ2kym4erbG1yOPjSsHcvv27eI4aShV/6MVLQMGDODMmTPvehgSEh8NWybvIikqmf6zeuBTowzkZ6CnJ2PYr/2R68tZ8vkaNJoiDoP9XxTGYhi7JFgkXiAJlg8JdZ5YGFKVI1oXv6hiD3D32q88uLEWd6+W1Gw0Rfe+Uqlk0KBBJCYm0mHSYH6ZG41SzxS9u4tRZxYk2DVq3JiOHTvSoEEDQg+s4sGepZSuXofavveQpd1F4z+VKRNsyEzOZsT6z3Es7YAgCGxPOkT7kCEcTTtLI8ta7PNbwUiXzzBRG/Js8jluVlpHZnAMzl9XoUroQBx6lZWKP0q8ERNvGype7I3/5w0ZGuhH+7VePMl9RrusQ1yrMRf0DOFMJ4jYToOetWg6oD43jt5lz7zDAOjJ5TSauBkHvxo83LWAuo4C1QKa0a7rS/lWmnxUWwNJfP6U8w/b07xhI26HhNJj43f84QYvk8lo22MLxmbu1K2UwriRXYmLiyv6E5bpFRYtTz+e8DCVSkWbNm1wd3dn4sSJPHr06M07SUhI/L94cjOCfQuO4F3dg5ZfvAjpzs8APQVu/h60H9GciLtRnN/+5gKr/wqZTFxlkQSLxAskwfKhoFGKVbLz08GtNth46jYlxN7izMHhWFiXpkWXTei9cAoDmDp1KtevX6fZZ53YfEBLRpoMg4zLqKIf6tr4lStL927daN++PfH3L3F+wZeUcHelca1EZBmhUGUO6ze6E3IxjA6jWlKzfRXilIl8/uQ7pkUtwkJuxnLP6fziMYmShs5kXHzOjUrriJx2EWMfGype6oPngiYoLKR6ExJ/Hz19Oe4/1Md/X1dab/Dg68EVUeTJ6Je2i+2VRiEY2sOFPhC2ks9/6YOLjxMbv9tB+J1IABRGJjSfuR8LZ0/urB5HYz8HqlVoS+M23rpjCPmZyLb2JjQ8lnz1cMqX82H3yRNMDFqua2NoZEGX/geRK4yoG/CEIZ/3Ijc3t+hP+GXRkh750YiWjRs3Eh8fz7Rp07hy5Qply5alVq1aLF++nNTU1Hc9PAmJDwaNRsviz9eATMbQFQOQ/1GQOT9DDC2Xyeg0tjXG5kb8NmUXGnUxf/4YWYnuj+q3lOgv8Z9GEiwfAn+IlZxEcKwk2qG+QJmfxeFt3REQaN19O0YmNrptO3fuZO3atZSvFUBwUmlin+Ti5KpH7rVtujZ2JRzo82lvevbsiTItgeOTOmNhpaBNGzl6OeFQbRHBD+uwe84hfGuVoe/MbpxIu0jn0KFcyrxJJ9vm7PZbRl2LqmhyVDwedpzbdTeT9ySNUj/Uo9L1fljUcH6rl0viw8KmlSeVrgYSkOPJ2I7+lEqwZVrmSX7064bWrDRcGYpR+EJGbhiMVqNlXp/lqPJVABhb2dNy1mEMzKy5s/QrmlXzo07lHtT4pISufyErDr1tfTgdkkZVj+k4Otrz06bVbLx3RNfG1qEsLbqsw8xEi2eJ84we/Q3FUpP3f0XLR1KnxcTEhMDAQI4dO0ZkZCQtWrRgxIgRODs706VLF06cOPGuhygh8d5zaGkQj6+F0/6bFngElBLf1GpEa+EXubAWtua0/6YF0Y/iOLXpQvEOSMpjkXgJSbC872hU8PgIZMdDiQrgXLXQ5lP7vyQ1+RF1m/1MCZeCbffv32fMmDHYOzqQ4dOQh1ezKFu1DPH7J+na6Bsa0LtnL3r37o2xgT7HJnVCXx1Hxy6WyPNjoeavpFn14JfPVmFua8aIrYP5KW4FX4dPB2CRx2SmlRyBudyUzGux3Ky0jtjFN7Co40rl2/0p+V1t9AzkSEj8W4y9bAi4HIhPnQC+6VCWqldc2Jp3l0EetVBZloXb3+Ot+JXuE9sRcSeKLVMKnO8sXb1oPmMfWo2ax2tG0rR+TZrVHUi5agUOetrkMGS7PmfdZRWBn8zA0MiAIYumcSmuwO7bx787ATW/xs1RRXrMJhYvXlw8J6sTLT5ieNijg6DOL55j/cc4ffo0EydOZO7cuXh6ejJlyhRcXFzo3Lkzw4YNe9fDk5B4bxEEgd1zDmHjbE2vKR0LNiizAKFQ0cj237TAzNqUrdP2oFIW4wMTI8naWKIASbC8z2iUYoJ9Vpy4quJSQ4z7fMGDm+sJub2R0j5tqFRrhO79tLQ0Bg4ciFqjwb59By4fy6VidR8e7pyAVlmQUNyxfQcCAwNxdXXl/PwvUMVeoVNXK/S1qVB7LXj249fhG8lMzqLHyo6Myp3J1qQDVDOrwC7fpXxiWRNBrSXyx4vcrrWJvPA0Ss9uSIUzvTDxtX2bV0riI0BuZoDv9vb4TGlE/y/L0H6DF5fVcbR39STbphKEzKdHs8N4VyvFrlkHeXChIBfCsXxt6o1cQVZ8JCl7Z1K3dm3aN/8cdx8DXRsh6jKyQ2OYc9qCUR2/Jzc3n07zRvE8O1HXpl6L2ZRwrUXV8tns2DKZo0ePFs/J/iFaHPzFhxWPDoi5ax8goaGhfPfdd7i7u9OpUycMDQ0JCgri/v37jBs3joULF3Lw4EHWrFnzrocqIfHeEnEnksTIZOp2q46R6UvunPkvcllfEixmVqZ0GtOK+PBEgtaeLb5BSSssEi8hCZb3lT/CwLLixJsW11qFxEpKYign93+JmYULzTqu1SWya7Vahg0bxrNnz/Dr0Y4T+2WU8XHm4bmNaJIidfvXrFmTfv36UalSJe7vXkLSlXW072iCvjwf6myC0r0I3nudc9su4z7Cndmeq7mX84iBJbqzqswMShjYkfs0jTsNtvBs4jmMfWwIuNoX19E1pJoqEsWGTCbDbVxNyu/qTKvlpRg8oQJxWhXNHR1Itq+JXvgGpk+6jbGJjAV9VxQqgubTsh/lu4wg7s45jB/so3JALbp36YeDa8HHpBB6EOH0LBZf9GFI+8+Ii02kzZKvydWIKxxyuT5te/6OgaE1LetnMH7sYEJCQorrZMG1JjhXg9xkeLhPdAn8wPD39+fmzZv8/PPPxMbGsmzZMqpXL1yMNiAggG7dur2jEUpIvP9c3ncTgBrtKhfe8BrBAtBmWDMs7MzZ+8LIpFgwNBcfzkiCRQJJsLyfqPNFN7A/wsBcaxYSK2pVLoe2dUejzqNl198wNrXTbZs/fz4nTpzAp3FtTp6xw97BlPz8ePLuHdK1cXZ1YeDAgTRr1oyksJuEbRtJ27aGGOiDrN5WKNWFrLRsln25HmUPLWcDb6IS1Cws/T0jnPshl8lJ3BbCzYprybgYjfOIqlS61hezipJVscTbwba9F/4ne1D1qgtff+aPVm1AMztTohzrY5J+lEW/3Cf1eTRrRv9WaL+aQ2bjUqUJIftW4KMXh7dHDXoHdsPcuqCNcHUVaefXcOJxK1rWbcTtu6H0+u17BMScFTMLF1p0WY+RgYYmNeLo378vycnJFAsyGThVgpJ1xRuLh3sh98NKRH/27BmHDh2ie/fuGBq+3pjD1NSUtWvXvuWRSUh8OFzZfxNTSxPK1vUuvOFPBIuxmRE12lcm+lEcCZFJxTMomR4YWn5wn2kS/z8kwfK+oRMrCeAY8EoYGMDZI6NIir9DzU+m4OJeT/f+8ePHmTt3Ls5epbnyvDz6BgoqV/Pm+Z4pujZGJsYM+mwgPXv2RJufy40FHWnZHAwMFcga7AS3dgCsGfMbT9o/J3psCiUMbNnsPY/GVrXRqjQ8HXmC0B770DPTp/zx7njOb4yekeKtXB4JiT+wqOVCxYu9KZvuxsgu5bHKsaS1tYIw1+bYG9xhzoyrnN1whGuHbun20VMoaDx5GxbOnlxaPIKGZZ0p6VCTfkOaYWj8UuenZvDowj7UsmGU8/Ziz9EgJp1Zqdvs4duWgJrDcSmRj5ttCIMGDUL5UrhlkWNfFko3AlWuuNKSnVB8x3rLODuLphyCIBAbG0tkZGShLwkJiX9HckwqYVefUqVVRRT6/zNX56cDMjAwK/S2IAikmMURYfmAoV8M5csvv2T16tVotUVcn8XICpSZH4W5iMRfIwmW9wl1nhirnpMITpXFUJD/ESth93dy58oy3DwaUa3BBN374eHhDBs2DDNLC54Z1ycvR49B/Zpx/JdBCJoCa8LuXbsxaNAgTExMuLOiD/UrR4ti5ZPd4NICgJsn7rLF+QBpg3IpZ+zFFu/5eBqXQhmfzb2m24iefw2LOi5UvtEP6ybub+XSSEi8jj/qtXjae/B1Zz8c023oaK7iXsnWlCoRxY/fnWP18GVkpWXr9jGysKHZj3tRGBhxfmYf2jepi5N5Q/oPr4Zc5xEhwMHRHD95jlq+07Gzs2Hm2pVse1TgVlW3+SzsnSpRu3I20RFnmDhxYvE4h/2BTRko01yc2B8dgIzo4jvWWyQ5OZnu3btjZGSEq6srpUuXLvQlISHx77h2UHxoU71tpVc35me+sDQuuF3Mz8/nm2++4dftS0k2ieXCzXPs2bOH77//np49e5KQUIQPTHR5LOlF16fEe4kkWN4X1HmiG1BuMjhVEd3A/kespKeGc3zPZxib2heqt5KTk8PAgQPJzMxE5dWUpCQjxg9twbKfxqBNK/hgadiwIQMHDsTFxYWoo7MoZ3EAfQM5soa7wakpAJlZmXwdOp2sDvlUV1Rgrdcs7PRtyLgcw80q60g/E4XzsCr4n+yJgVPhJzISEu8CA0czKpzuSemKvgzv6otbii09THO57t6WMu5JjO6/m60TVhXax6Z0OT6ZuJm89CSuz/uMTu1a42TSmsARZQoaaVWwawirDj1mYJMZKBRyBi2cws0kMZlfoTCkVbetGOib0Ll5Ljt/31D8YUuWJcG7tXhz8fgwpIYX7/HeAsOGDSM2NpYzZ85gbGzMwYMHWbduHT4+PuzYseNdD09C4r3n8r4byBVyqrSoUHiDIBTUYHlBQkICXbp0Yfv27VSvW5pGpo1pLOtIaGgovXv35ty5czRp0oTz588XzeCMJacwCRFJsLwPKLPh4X5RrDhXA+cqrzTRaFQc3t4TZV46zTtvwNTcCRCXbUePHk1ISAiWlRsSEWPHoE+rsmrrTlRhZ3T7e3h60K9fP+rUqUN22BHsn09EX1+Gqvo6ZC7NAcjXKul5egQptTMpn+jFinI/YCI3Im71be7U34I6OQ/vDa3x/KWJZFcs8Z9CbmZAuX2dca/hx/CuvpROsKevSQ4X3dvh6Z5Gk5I/cP94Ybcb9zrtqDpgOslPbhP1+w80a9acUhY96Tr4pVwsVTb83p9Z+/P5uuN4MjOy6bBgJAl5Ysy1tZ03n7RdgoEil84tlEyePImzZ4vRVQfAzBG824LcEJ4GQdLDN+/zHyYoKIgFCxZQs2ZN9PT08PDwoE+fPsybN4+ffvrpXQ9PQuK9Ji8nn9tB9ylXzxsza9PCG1U5IGjE5HdAqVTSo0cPrl+/Tqc+ZWkz+iK2VUJJi8kgPSaTWbNmsWLFCvLz8wkMDOTWrVuvOeI/RHIKk3iBJFj+6+SliYm0ealivorTa5ZsgYtB3xH3/DJV6o7F3auF7v1Vq1axZ88ebH3LExLjReOGpXiclEfCkdm6NuaWFvTp3YdOnTohJN9GcaET+voCKa6TMPLpAYBKq+Lz298R4RKD60V7NjSai0Km4Nnkc4QNPIKBsxkVL/amRJ/yr4xNQuK/gJ6RgrK7OlKyflm+6uqDV4wDn5tkc8y5Ne5u6djc70peUuEViUp9vsOjYVeenv4dg7AgqlapQTm3fjTp+tLqYXYC2h0DWHLCjX6tehH5LIb2v45CqRWLU/oFBOJbsTfOdqnUqKhi8ODBPH36tHhP1sQWfNqBgSk8OwPxd4r3eMWISqXC2lp8ympvb090tBjqVqZMGe7evfsuhyYh8d5zO+g+yjwV1f/XHQxeSbhfunQpoaGh9BgYQOVuJ3C0qIVPfUcAdv0+Hq2gpm3btvz2m2hm0rdvX54/f/7vBmhoKb7mSYn3HzuSYPkvk50gJtAqs6FUA3Cs+Npm4Y8Oc/38bBzdalK7yQ+69y9dusS0adOwdHTkflo1vP2sqVOzKmcWfiYu9QJ6cj26delKr169MNc8Q3OkAQo9FY/y2mLfaCIAKkHNqIiZXOce5vuMWFJ3GvrIefz5ESKnXcSsiiMBwX0wq1TiteOTkPivoGeowO/3Drg1K8eX3bzxi3RkpFUe2w2a4GSfSv7eepBdkMgtk8loMG4ttp4VubZmEmWtNHiULE+9Kv2o8slLyanJj8neMZQTIS2pX6UGwVdv8fnenxAQkMlkNGq7FCubMtSrnIqxfjJ9+/YlPb2YY7KNLMGnvVh87XkwRF/V/d+/T1SqVInr168DULt2baZOncq+ffv49ttv8fHxecejk5B4v7m87wbwZ/krBYLlyZMnLFy4ELfS1vi2OoydSXWaeR3m0x7rkekJPDj9jEuRXwFQuXJlFi1aRGJiIoGBgWRkZPz/ByjXFxP+pRyWjx5JsPxXyXguJs5qVODZDOxePzFnZcRwbGcghkZWtOz6G3K5PgAxMTEMHjwYhYEB4XoNsHY0Z8aIbvwwqh/a7IJ//GZNm9GlSxe8HVRojjRCT5vD5Qel8O4nPiFRCxrGR8zmZPolTA8Z8mlCW9y9XHjQcRdxq+5g1cydCqd7YlDC9LXjk5D4P/bOOjqq423Az+4m2bgnxEMUSIAEdwsSEjQNFtwdihSnSIFSintxKMVdgwS34sGTEA8E4u4r3x/7awIftA0UKeU+58zZw87MO+8dzt7c984r/zbEGhLK72yLTeuKDOzqjGtcGX5wVrIquTZ6GokUHW0IWSUnIOpaOjSffQCpnhHnf+xBi9oemOiWp12rrjh7vBJHFneduD0TKZAPx9Heli37D7Dk5i4ANKR6+HTaiUgMvfzViIkOZ8iQIchkHznzjYYOlGsD2mbw8i7EXfnijJY5c+ZgYKB6y/rTTz+hpqZGt27dePr0KevXr/+b2QICAn+GQqHg5tFgbN2ssXR6ywvHAtWzglJDj4kTJ1JQUIDv4BhM9dzwdjmJhsQAA2NjnKo6kHLbhrCkjRTIVCchrVq1YsqUKYSEhDBq1Kg3Zb8LmoYqbxPlB85AJvBFIRgs/0ZSwyH8hCpw1rUVGNq/dZhCIefE3u7k5SbTvP0GDIzKAqoMHgMHDiQ5OZl0k0agZcyvP3am96jvUcTeLp7v5uZGu3btaFbTFuXp5oiK0jl3UR23YceRaEiRK+V8H7OYk+kXMbqiS9lF5gSMbM2DpjtJPRqBeQ933I90QKKr8Vb9BAT+rYjVJZTf1gbbtpUY3M0Fp5fmrGqow7ynVZAUxaMMag7Z0cXj9S0daDZ9N7K8bC7M6kyHdq2Qyt3p1b8tFq/+PEOOcn3XUqo7TUNfX5eJvywmKOYmAGWsq1G7yUyUshcM6GbF+fPnmT17Nh8dNU3VfUTPCpIeQ9RZUMgr2dfEAAAgAElEQVT/ft6/hDp16tC8uSrph7W1NUFBQWRlZREcHEy1am/G8wkICJSOpzcjSU/IoFbbt7ua/3HCsufIKa5cuYK3Xzls3XKoYjUDqZph8TAPL3cKMiSkhekSk36w+PuhQ4fSpk0bTpw4wYkTJ95fUU1DVSxNYfb7yxD44hEMln8biQ9VDxRqWiofdF2LPx1648IcnkWdo3LNoTi7fwOoguynTp3KnTt3wLo6Gdizck5LJq0+SfaVDcVzTUxN8ff3p5NvDSTnW6EsSCHojAxb/5UY2rqiUCr4IW4FR9LO4PLSHoPRUjqPbEVUu0Nk/R6PzYRauG5pJQTXC3yxiNTEuP7aCuvG5RjS2QWHFDO2+Rnz40NPyHkGZ7whJ654vHW1ptQaPJ/02BCCV4+ig78/yrRqDJvYGAOTVwTfXMfubYfp1mgqcrmCLosnEJURD0D1BuOxtKuLnvodWjRxYO3atcX+3h8ViQY4twTDspAWARGnhLoGAgJfOTeOqKrbv9UdDKAgi0KkzPt5ASYmxtTtch89DUfsDb95bVjlpu4AJN+0JiptV/H3IpGIWbNmoaenx9SpU8nJyeG90DJWfealvt98gf8EgsHyb0GpVPmYx11VBZmVb1fyI30Lz6Ivcv3cTEwtPGjYcmHx95s2bWLbtm1omDnyQlGFUaOrciukiIebS45kNaQadO7UiY6t6mJ8JwDyXnDubBESx864tuwNwNIXW9iXcoKa6pWhSyE2ZS2w2vqCvNBUHBd74fBTY0T/L62ygMCXhlhdQvnd7bCq7sTQji7YZ5iys7MJPz/whOwoldGSG188vlLH0Tg360bMlUOkXfoNHx8f5AmNGPVDNaTarwg+M4vV28Lo4zuYlJR0fJd9S54sH7FYgvc3W1BT16aeRyz2dhZMnDiRGzdufIKLVQPHZmDiCplxqgK0soKPv+57IBaLkUgkpWoCAgLvx43DdzEw08O1lvPbBxRkcuhKKC9evMCvuwcS7VTcy4xBLHr9d+dWzwU1dQlZd92JzwwiX5Zc3Gdubs6ECROIj49n0aJF76eotqnqMzf5r8cJ/KcRDJZ/A0qlyrf85V2Vr3n5dm9UlX2V/Lw0TuzphkRNE99Ou1BT1wTg0qVLTJ8+HU0DM2IlDfHtVJaaTtVYM6krysKSB5O2bdrSsnFVKiaMhZxoLl2BxFx7Goz5BZFIxN7kQDYk7MZDuzxOc62QZRbROMeUoogMnFe3wHpUjY++JQICnwqJljpuh77B0tWeof6uWKQbsrWLMetj6kNWOJxpAXkJgOqNYcPv1mLiUoXbm2dgWhBPjRo1ESX7MnKWK+L/V1hy80FNWjdqSUhYBB23TEKpVGJo4kzDlgvJyXrG6IH2qKur069fv3+eTac0iMSqBB7mlSD7pSpOrij346/7jpw+fZpTp05x6tQp1q5dS5kyZRg/fjx79+5l7969jB8/HgsLC9asWfO5VRUQ+CJJiE4i+kEc1Vt5IpG85VFQlo9Sls8ve86go6ODY8OraIhNeBTtyMRdy5ix/xfmHt7IiftXkGpLKVfHmRe3NJHLFESn7X9NVK9evahcuTLr1q3jyZMn766sppHq3pWT9J5XK/BfQDBYPjdKhcoFLOmxysfctZXK5/zPhiuVnDk0kOzMZzRutQxjM1UwflRUFIMGDUKiLiVW6kXF+hb82Nufnr36okyNKZ5ft25dvOpXoZXWSkRZT7kbak5oiByv77ejoWvAlczbzIpbgY2GBUNeBvD79luU0zHG+oUI5zXeWA7+k6NjAYEvGDU9Ke6BHbGwsmJkl/LopmqypIWUILE/ZIapTlryVX8s1TS1aTHrAJoGppyb053abmVxdHBBN6cDA6ZYlQiVFyA7MIxL12rgUdGNY+cvMPX0LwBUqjEIe5eWxEcd5MeZXUlJSaF3797v7zLxLohEYFNbVdMpL0WVibAg6+Ov+w40bdq0uG3ZsoXly5czd+5c/Pz88PPzY+7cuSxdupTNmzd/blUFBL5I/nAHq/W2dMYABZlcuBvBk4g4WvvXIEP2jE2natJp+RTmHd3MzANrmbxnBT7zR9B4zgB06hpQkCMn47Hla25hABKJhHnz5iGXy/nhhx/eXVmxROVxkpv8xSUNEfhwCAbL50Qhg/CTKp9yw7IqH3PJXwewP7qzkaeP9uLi3gH3qn0ByMzMpHfv3mRkZPJSpxFlylny64yOePefR1HIyeK5Tk5O+DZvQF+HA4gzHhKdXZObF59Trc9MyrjXISwvijFRc9CRaLPCfjo7huxHIhLRKMcU51+8sRzo+TF3Q0Dgs6JurEWlU52x1LPg276VUMuUMNoxndCygyDjMZxpCQUpAOhZ2NNsxh5k+bmc/t6Ptj7NMTayxEazOx2GlASjkp9Bxt4RZL3sgoWFGT9t28CuB0GIRCKat9+AVMuItLhfGD9uKI8fP2bkyJEoFJ8gE45IpKrpZFdfFVgbehjy/p11Dm7evImbm9sb37u7uxenOxYQEHg3bhy5i5qGGp7N/6R2WkEmq/ZfQSKRoFYpnGm/VeDsw5d0qtWch3P38HDuHq7P+JWBTb7hclgw055t4l6t5+Ter8vLrPPkFr18TZyHhwft2rXjwoUL3L//HnWhtE1BlvevPBEW+DQIBsvnQlag8iHPjFP5lDs2U/mY/wWpSaGcPzYSPQNbmrZbi0gkQi6XM3z4cJ4+fUq2UW00rBxZt9iHkfOvkHBsbvFcQyMDOvi1ZljFIKRZ90g38OfUjitYejbGs+tEEotSGBoxnQJlEUsdvufx6ifEPnlOTaUpVRe1xHKQYKwI/PfRsNSl4olOlM01JWBEeUQFIjqrRfHCbSSkP4CzvlCoqrhsVaUxdYYtIiMujGsLB9Clc2fUxcZUd+1PE79XTkkznxO5fQJl9QYi1dSgz4pp3Hoegq6+FV5tVpOXk4Sj+S3atWtLYGAgCxYs+HQXbOYGDl6qh4DQw6raT/8y3N3dmTZt2mu1HDIzM5k2bRoVKwqFagUE3pXczDwenn+CR1M3tHTf7tHx4N5dLt+Lor53HZafKUCh0GDH0LnsGj4Pdxsn3G2cqOlUkTV9p/Jg7m6autUkziWdLTHpFMqURKftJTi+gD67E+m1K4Gtt7Po3HsIACtWrHh3pbXN/qe84Bb2tVJqgyU0NPRvxyxbtuwfKfPVUJSn8h3PfgllKqt8ykV//V8hlxVyYm9XZLI8vDv8hqaWEUqlkunTpxMUFESRfnkKjCozZ0kdzl6Ey8sGvFYcskP7doyofAHDgvsU2fXl0NqTSPWNaTJ5K/kUMjxiBi+LkphlNxqnFGt+m7QbXdTo+H07rEcLMSsCXw9azka4H+1A/ShLqo+1Qi6X014RSUqFEZB6F862hiJVek33b0bg4t2T2GtHiT6ynA4dOlCQqUd7n6F41H8lMDXxMb9vWkpjt/4UFBTSauEIXmQkU65SZ1wrdSEy5BCDelfFw8ODJUuWsH///j/R7iNg7AzO3qoT37BjkPn8061dCjZv3sy9e/ewsrLC09OTKlWqYGVlxd27d9m4cePnVk9A4Ivjzsn7yIrkf54dDFizZTdKEQQbpFJQJGFVv/Z0qeP91rFu1o4EjltOxXx7InRSWHbQhX0PtlFlyTM238ri19vZ9NyVSOO92lhVasixY8cIDw9/N6WFwPuvnlIbLM2aNSMqKupP++fNm8e4ceM+iFL/aYpyIeyIynfcqgZY11K5Z/wNV89MJTH+DjUbTsGmbEMA1q1bp/qDrWNDmkEDvp1fEfOCiiwc2x1lbnrx3FY+Poyrex9r8SOUjn04uT+Ugsw0Go3fiJaZJeOj5/E4L5yhFt3x1WzAynqLyJPL8G/bAOeZDT/aVggI/FvRr2VF+V3t6HDbAetxhuTK8/CXxJNZbiik3ICLHUFegEgkosGYXzArV507v85C/PweLVu2JC1enyGDh1H2VU+m6EsErj2Kd+3OJCal0HzJUPILC/BqvRIdPSuuBo1n1Yq5WFpaMmbMmE+TOewPDOxU8XMiEYQHQtqf3+s/NRUrViQkJIQ9e/bQp08fevXqxZ49ewgLC6NSpUqfWz0BgS+O64f/SGf89viVtLQ0jp67jnFNG0ISU2lRNZEO1Qb+pUx1NXWm1eiL3VMjHj/TYefZZDpVVnDnWxvip9rza2dzqttIuW/ZGaVSyapVq95NaS1j1YtdwWD5aim1weLl5YWXl9dbM9nMnDmTGTNmsGvXrrfMFCimKFd1spKfrgp6taxSKmMlNiKI25fnY2FTi1pNpgFw7NgxZs6ciVjLhJd6zej1gyttyzaiR+/hEF/iH1qjRg2mt0zAVesR2HciOMKW+LvncWs3hLL12zHv+VrOZ16nrXFTBpl05kyLLdyMj8XRypxvDvQWUhcLfLWYtHGmyupW+Fy1xWyKHimyDDppppPn2ANenoGrvUAhR02qRfNZ+9EyMufcjz1xNtOhZs2avAw3ZvL0AZhZvyL08QECN4XTqE4THoWH4792PBqahjRt+wuF+Rk8uDaNzZs3o6amRr9+/YiNjf10F6xrAa5tQCKFyCBVIpDPyJAhQzh27Bh5eXmIxWJ8fHz49ttvGTVqFD4+PojFgkezgMC7IpcruB14D0dPe0xt3l464eDBg+RoQqieHGuTAgY2t0FL3fxvZXs0cafSdUtsCsx4HKtHWY1NVLGWYqmvRo9qeuzrUQapjQdYebJv3z7i4+P/VmYxfwTeC5nCvlpKfcfftGkTtWrVwsvLi4SEhOLvJ0+ezLx589i3bx/t27f/Wzn5+fm0b98eV1dXPD09admyJdHR0YAquLJevXpUrlwZT09Pzp49WzwvNzeXgIAAnJ2dcXV1/bQuEx+CwhwIPaIyVmzrqlzBSkFuThIn9/VEQ6qHT8ftSCTq3Lx5k+HDhyNS1+Glnjf+413oX78h7Qcso+jenuK5tna2zO4kpZrhPbBsQYLBIG5tnIFRWXdqD13I1sSDbE86TA3dysywGcnTfoEcuHITRCJGHhkhPBAIfPVYDvKkzSRfnIMMMZ2jw7OiBLoZSCi0bQex++HGMFAq0TW3pdmMPciLCjg1tT2N69bExcWF+CfW/LA4AF2DV4TeWMuVPepUquTO8euXmHBgGY7l21CuUgCRoUdQVz5kxYoVpKam0rNnz9diNz462iaqgrVSPYi9rKoN9Zmy8pibmzN9+nTMzMxo1aoVq1at+rQGnIDAf5DwW5FkpWRTzdfjT8fs2LGdrAqGiEUi+nlH4WTSplSyT+QZUSTVosaDctiY5rHg6Akuhd4p7rczUmdBaxNSy3WjqKiIdevWvZvyfwTeF36CbIoC/zpK/UQqFovZtm0b7u7uNGnShKSkJEaPHs3SpUs5fPgwvr6+pV504MCBhIaGEhwcTOvWrRk4cCBKpRI/Pz9mz57N/fv32blzJ7169SIvLw+ABQsWIJVKCQ8P5+TJkwwdOpS0tH9nVps3KMxWuYEVZIBtPTAvXaCoUqkk6EA/crJe0KT1KgyMHYmMjKR3794UyRQk6LfAq78L/TtUY+DESyQfm1U8V09fjxk9HGlheR2lSU0Kq67l7I+9EKup03TaTi7mBfPz87U4SG1Y4jCV55OvcvG3azwjF+8BjXGqWvYjbYaAwJeFw5xGdPFpgN4BTRzXmxFWEEdfMwtkFl4QsRGCpwBg6dGQuiOWkvk8nPNzuuPXvj3m5uYkPHZl5jIfNKQlMmUXFhB1wQVbeysWHPyVjZcP0bjVMrR0zLhwbCQNG1Rj6tSphIWFMXjwYGSyT1iVXtMAyrVTBbm+vAvR50Eh/3Tr/4+ZM2dy69YtwsPD+eabbzh9+jQVK1akUqVKTJo0icuXL6MUUpwK/MdQKpWEJW96o5bJh+LOCZUHRrWWb39p+vjxY+7EhlGgp0ZrTwPszfOwNWj9t3KfJhUy8WQa+c6OyMLSGdg4FXU16LpqCilZJS7qA2vpU7dhY2T6dmzfuZvCwsLSKy/EsXzVvNMrdIlEwu7du3F0dKRcuXJs3LiRwMBAmjVrVmoZmpqa+Pr6Frsa1a5dm8jISFJSUkhNTaVJkyYAlC9fHkNDQwIDAwHYtWsXw4YNA8DBwYGGDRty6NChd1H/81CYrTpZKchUpRA1dy/11Ps3fyEy9AjlK3ejgmd3UlJS6N69O2np6SQbNKW6fwV6D63A6uVZPFw/8LUg+/E9q9O3wlXkuq7Q+CCXlo0l60UUtYcu5IWFlAkx8zBS02eV0w9krwgh8udrXNBIRNdIh+5zOn6s3RAQ+OIQiUQ03h9APauyKFcpqXutAsH54YywdkdhUhMeL4AnSwBwazeEcr79iLtxguDN39O1a1d0dHTJi6vDhAU1S3JrKOVkn/4JWXhdDI0NGLR+NjfiYmjcajl5ucmcPzaSwYMHExAQwPnz55k+ffqnvWh1LXBtrYptSX0K4Sc+7fqvYGFhQb9+/Thw4ADJycksXLiQ3NxcevfujZmZGd26dePmzZufTT8BgQ9FgSyVoIh2XI7py9lIf0KT13/wNW4H3kfHQJvydd5e3X7Xrl3k2GoDUN8jGh11W4y13m7cKORy8jNSUCgU9NubRF6Rkvb+lVEqlJi/rEu3xnE8S01g0KY5xXNEIhEbOppT6OJLVkYaQUFBpVdeyBT2VVNqg2XatGlMmzaNWbNmUaFCBXJzc6lTpw5BQUHFfdOmTXtnBZYtW0abNm0wNTWlTJky7Nu3D4Dr168TFhZW7C4WGxuLvb198byyZcv++90D/nADK8wCuwaqFKKlJCXhERcDx6BvWJYmbVaSl5dH7969iY6OJkO/PuWbe9JrijPBRy04NLsb5JcckQ4JaMSkWlcp0rBA0iyQx4G7iDi7k7IN/DD0+YZhEdNRKJUsd5yO9EAakaPPctskm8zCArrP8sfAVO9j7IaAwBeLWFONIZdGYyiRkjwsGd+MOlzKe8xkhwYoDSrAnQkQdwiRSET9USuxqFSfB7sX8eLyXgICAgAx+gV+DJ7iUiK0KI8XhxdiLvNCoi6h3dLRiExr41i+HWEPdhIZcpi5c+dSr149Nm3a9OkzYknUwakFmFaArH9H5jANDQ1atGjB0qVLCQ8P59KlS1SpUoWYmJi/nywg8C8mMec6Bx97EpdxBAejLuhpOHIlZiBhyZs+2BoZyVmE3YjEs7k7EjXJG/2FhYXsPLSPgjJaNLQxxdAgElvD1m+NZc1PT2ZfPw9+bWfK+pb6eB1uzOycmXg3NgIg7Y4Ddd2S8fF0Z9/NM5x5dL14roOxOr5t/VGKJKzZtL30FyAE3n/VlNpguXTpUnG7desWderUoaCg4LXvL1++/E6L//jjjzx9+pQ5c1TW96FDh1i/fj1Vq1Zl1apV1K9fH3V19eLxr/5o/soVYNGiRdjY2BS37Ozsd9Lrg1CUB0+PqYwV+4ZgVqHUU2VF+QTuCUChKKJlx+1I1HQYMWIEt2/fJlvXA9s6deg114G8ey7MH9kXXqlk/41vPRa3+B25WBf1FqdIjInn2srR6Fs5UXXsCoZFziBZlsZc+++w+12LsJ7HyDFX4/fseMpWsqXlIK+PsRsCAl88+o7GDF7ekyKUFHkn4q1Wl6O5wSxwaYVSagpXekLKHSQaUprP2o+eRVkuLx6CKCkcPz8/crILqGQ9BP/+ZUqE5qUStm09FSyakpmTg8+i4VTx+gkNTQPOHR0GygLWrl2Lo6Mj06ZN49y5c5/2okVi1cmw1edPbZ6Tk0N0dDSRkZHFTSqV8t1339GhQ4fPrZ6AwHsjU+QTFN6WfFky9e030NhhOz7lzqGrYc/lmH5EpL7DQ/1fEHz6IUqlkqp/4g4WFBREvE4hShF8U0X17PU2d7CivBxOTGpNWvQj7Or7EaVXFQ1lIWaPtnL5hwZo6yqJuliISASDW5ggVddg1G8LkclLXFvH+jhTYFWLm1fP8/LlyzfWeCtiCWgaCQbLV0qpDZZz5879bXs1SP7vWLBgAfv37ycwMBBtbdXxY+XKlQkMDOTOnTts2bKF+Pj44grHdnZ2xactADExMdjZ2b1V9pgxY3j27Flx09XVLbVeHwR5oaooZH462NQB0/LvNP1q0BSSEx5Qq/E0LGxqMW7cOI4fP06elhPGlZvTd7Ejmi8d+a7XGIi5UjyvVvVKbPK/ByIJkmZHyceM0zM6IhJLaDxjFxOTVxCeH8MYq37Ue1aeJ34HEGmpcdk5j6ICGQOX9XjrWxcBAQEV9YY0pFbDioQXZlCptZiGWtXZknuXX926o1Qq4IIf5MShZWiG949HkGhocnqaPzYGUpo2bUriy0zaeX1Pw9av3JMyYglee5iq7g2IfPmcrht+prbXbLIzn3Pt7HSMjIzYsmUL+vr6DBo0iJCQkE970SKRKqPhZ+L+/fvUqFEDfX19nJyccHZ2xsXFpfhTQOBLJyp1J/myRKpZz8bVtC8ikQhdDTt8XM+hpW7B9bhRKJT/PI7tduA94M/jV7bt2E6utRbWOro4OsUgEWlhqdfktTEKmYwzP3Qh8cl1PLtN4kmLjfzktAnxhGDaLL2ATfVmGGjFEh+SDjmmiNSvM863Jw+fhbPm7L5iOdVspNjWbgdKBVt37Pn/qvw5OmaqjKtC4P1Xx2dJA7Vo0SJ27NjB6dOnMTQ0LP7+VSt73bp16Ojo4OWleuPfsWNHVq5cCUBUVBQXLlygbdu2n1bx0iAvgqeB/6uzUh3KvFudgLjIs9y5ughL2zrUaDCpOF10oaYdmq6t6b/CAc2CMowJWITiUUkMj729NTt7P0NHQ0ZBra2ITWtybk53chLjqDtqBas0L/F71l06mvjSVdaCh757UOTLyBjhzL2roTTt3YBKjUt/CiQg8LUybPdgtLWknIwNp9tIJ6rrVGJ+wX1OVegDeS/gfHsoysLYsSJNp+2kMDuNE5PbUMOjIp6enkSGJTNi4M9UrFVyekziQ26vvEnlSlW4HBrMknsvsbCpRfC1pSTG38XJyYl169aRn59Pr169SE7+et4w9uzZEzs7O65evUpERARRUVFERkYWfwoIfMkolUoeJS5FTayDi0nf1/r0pGUpbzqYfFkS8ZnvEOvxFhQKBXdO3KdsZVtMrN9MZ/z8+XMCH11DIZUw2NOFZJ5grd8CNbHWa+OuLB1O7LWjuHj3xKnrD8w6k4adoRqj6htg6dEQ3/knqd62ISAi45I9yTk3GevbAWsjc77ft/q1APzR3X2RSw3Z/NuO0ifQEOJYvlo+ucHy7Nkzxo4dS3p6Ok2aNMHT05NatWoBsGbNGlxdXXFxceHIkSMcOHCg2A1s3Lhx5OXl4ezsjLe3NytXrsTY+O05xD8bCjlEnIKcBFXaYot3eyuZn5fOyX29UNfQwbvDVpYsXcb69euRaVoht2vN4BXl0NYxZHqvg+T/XuLPbmpmzL7hIsoaZpPgOBtdl/bc2TqbuBsnKOfbl8tVddmfcpL6etWZaNSfx232U/gsC6ulTdi+NhB9Uz36Lgj40LshIPCfxKiMAX2WdCUbGSdP32XMqga4abkwVvmUu85dIP0BXO4OChl2tX2pNXg+6TFPOPNDF3x9WuLg4MCjO4n8OGcJti6v3ILjrvJgYwLOrs5svXKcCL0WAJw5MhiFQk69evX46aefiIuLo2/fvuTn53+mHfi0RERE8PPPP1OrVi3Kli2Lvb39a01A4EsmIfsyqXnBuJj0Rqpm+Ea/k0k3ACJSt/2jdSLuRJORlPWnpys7d+4k21oLDbEazSvmo0SBvZHfa2NCjm3gyZE1WFdrRqNx65lzNp20PAVzfYzRVC+5lzUd2g+AuOMKlMjJKrrNz12+JS0nkxkH1hSPC6hmjMjVm7QX0dy4UcrEGTr/qweTk1j6ixf4T/DJDRYbGxuUSiUREREEBwcTHBzM9euqYKzp06cTFhbG06dPOXz4MLa2tsXzdHR02LVrF+Hh4YSFhf37fJaVCog6owpONS1f6gr2r3Lu6DCyM5/RyGcJe/adZeHChSg0zcku04rRSz3RsdZk0aDbpJ/4qXiOto4Wu7+zppplAmHaPbCqO5ZnN09xe/MMTJw9yerdhaUvNuOq6cB82wmEBxwj524CdjPrc/jGHTKSshiwpBv6JkKgvYBAaWnRvzFu9VwJJpUnS28x80JHHKS29FBPJNq6KcQHwp1xAFTqOJpyvv14dvMkN9dMoFOnTpiamnLnchIr1/yM8SshLcrQY8QdlmJpbcHUwKNo2LUh4dkNHt5S1Svo2rUrQ4YM4datW4wdO/arSOvr4+PDjRs3PrcaAgIfhceJSwGoYD78rf36UifMdGoTk36AIvn7u0EVpzP2ebP+ilwuZ8O+bRQZatCpSm0ytR4iQoKdQUn9leSwO1xZMgzdMnY0/X4HL3JErLyaQTVrKV08Xne7L+thj5auBilPVachLzLPElCnJTUdK7L23H7iUlTeNFI1EX4dOgGwZMPO0l2IlhGI1QSD5StEqAz4IVAqIeYSpEeDkZMqSPUdjZXQ+zsJvb8dx/JtuR+mzfTp0xFpmpBi7MOUefUwcBezblwcz3dOKJ6jpq7Gju9r08Q6hBBZXZzarCE9LoygmZ3R0NbHbMpPTItfjrm6CSsdZ5Iw5iqpxyIw71WRtHqGnNl8iarelWjUte4H3hABgf82YrGY4ev6IlGXcErjJQlDr7IoaRg2Ukv89JWkGHtA6EoIXanKHDZ6FZYeDXm4bymRJzfTtWtXtLW1eXCtgFWbpqClUyK74PYOcm/bYWRkwLgrsahrmXP59ERyslUFeydPnoy3tzcHDhxgyZIln2kHPh3r1q1j27ZtjBw5kjVr1rBx48bXmoDAl0p2YSwx6Qew1vfGUPPPY12djLshU+QQm/H+pRxuHb+Hlq4m5eu+Gfd19uxZYtVVxlC/qh7E8xgLnXpI1VReLPmZqZye5o8SJc1m7kXT0JSfz6dTKIeZLYwQi2tHNXIAACAASURBVEUkJCSQmKgyIiQSMW4NypORZo4sTUx03D5EIhEz/QdRKCvix8Mlv9uJHapTZFCWq+dPIZeXot6TSKyqx5KT9NmK2gp8HgSD5UPw4jakhIK+DTg0oaTYQunIynjG2SND0NIxQ67VgfHjxyPWNOSlgQ8zpjVHv76MzXPSCftlhOokB5U9tGF6W9raXCYq34UyrXcjy8vi5OQ2FOVm4TpjNROz1qMmUmOl4wzkK6N4seouBl722C31YtWgjWhoaTBkde+3piwUEBD4a2wrWOM/sQ2JhbncVksl2f8CKzUnY6xhSnszI3J0bOH2WHhxGom6Bs1n7kPfyokrS4eTHXadgIAAlEolzx4b8dPKnq/VaMm4uA3NpMoo1bX49YUxhfkZXAocC6jqYa1YsQJ3d3fmz5//ZdSj+gccPHiQ06dPs2nTJubOncusWbOK2+zZsz+3egIC782TxFUoUeBmNpIRB5P47mjyW09NHYw6IUJCRMr7uYUlP0sl5Fo41Xw9UNdQe6N/y9ZfybXUwtnMBjvTCOTIsDcq8WK5OL8/WS+jqTtiGebla/AiU8ba65lUs5ZS3TibAQMGYGlpSZkyZWjZsiUHDx6kfF1n5DLIuGpJtjiKwrxMvCvVpY5zZTZcOEhMcjwA9kbqGFdsSlF2KleuXX9Dt7eiYw6KIlViI4GvBsFg+ackPYEXd1QWv2PzdzZWlAoFp/b3piA/nTJO3zJq9FRE6jq81G/JpJEtMG1byO5fcgn+aQjICornLf6+Jz3LHiGhwBxJ410YGBgRNKMTGXFhlP92LjO0T5Arz2OxwxTMAuVEfXcObTcT3Pa1Z8+8I7yISKTbD99g4WD+oXdEQOCrodPkNli7WnCVRJJTMsj45hJrrX9AJDUhwNIemUQbLveA7Gg0DU1pOe84GroGBM3oiFZ+Cu3btyc7Oxv13NqMmfFKNp7CbF4c24uNVi3uZOkQUWRGyP1txEacAVQuslu2bKFMmTKMHj2aO3fufKYd+PhMmDCBGTNmkJGRQXR0NFFRUcVNCLoX+FJRKpWEp/6KntSJY0/qsOJqJgsvZjDjdNobY7XUzbHWb8HzzJPkFb17sPmVvSqXygada73RFx8fz/GHV1GqixncrCOxBRcAsDNqD0DcjZNEXzqAY+OOVGgzEID5F9LJL5Th8fw3XF1dWb9+fbGhdfLkSfz8/Phu5QiyyKAgpjqow92TsxGJRPzgP4QiuYw5hzYU6+Dr4wvAhp2HS3dBQhzLV4lgsPwT0qMh9jJI9cG5parQ2jsSfH0FcZFnMLdrx5gJG1CK1Hmp35LB3ZtSrreEw3vzuTxhOORnFs+ZOqYvw1z2kiXTJanieuycKnJ1xWie3w7Cof0AlpaLJr4wkRl231LpsQWh3Y+ibq6D+7GOxMUksH/+cRyr2NNuVMsPtxcCAl8hGpoaDP2lD4WFMi4555F9P5HCgfdZ6zSHZC0TvrMqB4WpcKkzyPIwtHWlxeyDyGWFnJjYCnszA1W648REPB374NfDtUR4VjxhO07h7tiQbQlmyJQSgg4PQlakCra3srJi8+bNAPTp04dnz559hh34+BQVFdGxY0fEYuHPlcB/h4yCUPKKXqCr7s3Yo6pMW9WspfwQlMZvd7LeGO9k0h0lcqLSdr/zWpd3X0dTR/rW+JUdO3aQY6mJmlhCt9pePFPcxVTiiq6GLQpZEddWjEIi1aL20IWIRCISsmSsvpqK4dlxbJw/iczMzLesCM9fPidMdI+MaAcAQoLXICvIo6l7Teq7erLp0hGiElUFafv5VEWma82lsydQKBR/f0FCprCvEuEvwPuSnQCRZ0BNCs4+oK79ziJSE59w+dQEtHRsmbPkEUVyJS/1vfH3bYDvGAuOn8/l+ODvVGv9j/59ujC56hGUSiUPTWZSsWZLHh9azeODKylTtQl7WpkSkhfJCMueeGfU4HHb/SAW4X7UH7GFFgu6rQZgxLp+Qs0VAYEPQOUmbjTt3YAn4XE8q6VN8t5QtBe/ZI3TbK7pW7LezAVS78LNkaBUYlm5AY0nbiYn+TknJ7WmRpXKVKlShYjwSHr6z6F6A5MS4UmPuLfuFs5uzTiRbk5magS3riws7vbw8GD58uUkJSXRq1evz1Mk9yMzaNAgNm36cNW+BQT+DbzIUhWB3XSrCnkyJVu7mHOkjwU2BhL67UnkUlTea+PtDNqhJtYhIvW3d1onMTaZkGvh1GxbFamWxmt9MpmMTXu2UWgspWG1apwSb6WQPMSGDcgkl0cHV5EeG4Jn14nomquSIM07k0T+gVGk3339NKRDhw7Mnj37tcx9L5VxPLnxAqVcRJFRJiHHNhSfssjkMuYeUcWyuFtooFmuCfnpiaU7LdbQBTUt4YTlK0MwWN6H/HQIP6EKJHFuCZoG7yxCIZdxcn8v5PJCdh1XIzOrkET9FjSqX5txM6uwPziZnT2+h5SI4jlt27ZkgfcDtEjnhrg/tXyHEXf9BFeWjkDPyolrQ5pxNfsuHUxa0ke9HY9891CUnEv5HW3Qq27Jlkm7iX30nIAZfjhXc/iQOyIg8FXTd0EA+qZ6HI8MReJuRMzUS1idEbPSaSZrzJy5qmsOkVsgXOUG4dw0gBr955AScY+zMzvj09IbBwcH7gU/Yvb3G7Bz1iwR/uwSN9fFkGPbiqQiKVfOziQr43lxd6tWrZg0aRJPnjxh6NChpQtc/YKIjY1l5cqVVKpUiYCAAHr27PlaExD4EnmReRalUsSxx1UZ18iQho5aWOqrcbSPJRoSER23JpCUXfJbVpfoYG/YnqSc38ksiPgLya9zda8qXXD9TjWLv1Mo5GRnxrPz8Doy9NLQEMmp0MQNWfolAGLLVGdr+iF+3zQV7TK2eHT+DoC7IVEsm9AbQgOLZVlaWnL27Fn27NnDlClTuHjxYvFpqBIlYdmPyI20R2Kvxr0d85AXFtDErQZ1XTzYcvkoL9OTEYlEeLVQuYVt2lUKtzCRSFVAMjcFFP+8oKbAl4FgsLwrRbmqwpDyQnBsVuJL+Y7cvrKQhOc3eRRuSlhkEUn6TankWY2181vyW0w0Gzv9BM/vFo+vW78G6/pKMJCFcSu/BdU7zCc57Danp3dAQ0ef598P42j2JRrq12Sy+WCefHOQvNBUHJc0xaStC3dPP+DwkpNUqOdKh4lt/kIzAQGBd0XfRI9eP3UiIymTh3XUUTPRIrT7USrEWrLEaRqTrN2J19BGeWsUJKseIDy7TaKcbz/ibpzg9+Xf0rFjR0xNTfn9ajCrV25G3+iV2/PTQ9zaWchDzXpIlEWs3uD/2vrDhw+nY8eOBAUFMWvWrE956R8ddXV1/Pz8qF69OpqamkgkkteagMCXhlKp4FnmeeLSK+BsasYPLUpqynlYSVnjb0ZCtpwB+xJfC8J3NFbVZIlM3V7qtS7vvo6WrmZx/ZXc7ES2r67G+vnWJN8dytja0cy0e0Srl1FoJFxBX1mGMtdNONpuGmtvZrM2z5T+00bRsGFDqlZwRB52qli2lZUV58+fp0mTkvg7Ozu714p6xxJO5r2KYC0iJ+UZoYGq09LvfHtQKCtixeldAPTxrYlMpwynTwaWLl27jjmghNyvp4ju145I+RUk8rexsfkw/t3yQgg9oqpib98ITMu9l5iUxMdsW1mF9CwxG/YakazfFEvnGpzf2ItNuQ+Y0Xoxinv7i8dXcHfi1OL22CQuIyzPDbNvziDOTePQ8LoU5WahXDCfJfJjuGu7sNFpHnG9gkja/hirb6vhtKQZWanZDK80mbysPJbdmyME2gsIfAQUCgVja80gKjiWHzeMIKXvGTQdDPG80ZOLojuseTKRrVE3kWhZodbqDmgYoJAVETjBl+e3g6g1+GfsvPuzfv16CgsLcaygTa+AMRQV/m8BiRS9Bv0ZUHcvtuIEdGrMY0Db8cXrFxQU0LlzZ27cuMG8efPo0aPH59mIj4hSqXzjYeZzxLZ8sL8pAl8lqXkPOPi4MidD+zKizgrqO2i9Mabr9gR2BGezzt+M/rX0AVAoZey8b4VUYsw37k/+NsNnYkwy/cqOpnG3uoz9bQi5OUns2diEtMRHFJStxZ0zT8g31aSRuQhFTgJnr8Odh+okJBX97TXY2Nhw7tw5nJ2d3+g7ffo0LVq0KP53mypetF93FvEqfXSV9nTYeB+5Qk6FCf4kZ6UTtyQQqbom1r6jkTzYzYkTJ6hc+e0FLovJfAZPj4NNHShT6W/1FfjyEU5YSotSAZFBKmPFqvp7GysKuYzAPT2Qyws5dEaHdING6Fl7cGJFN4Lk0cwK2PKasWJta8aRtZOxTlhOQoE50ibb0BTJCRzfkoLMFLRmzmWZPBAbDQtWOs4k6YdbJG1/jEk7FxwXeqFUKlk5aCOp8WkMWt5TMFYEBD4SYrGYQct6IJfJ2bX9DI6LvcgPTyO0+xG89OvQq9xM5pVxQS03jvzf+4FSiVhNneYz92LkUJHrv4wn7V4QAQEBAMRHKZiz6JVicvICsm7u4WR0O+RKEU8u/8DJ+1eKu6VSKRs2bMDe3p7Jkydz8eLFT70FH4W4uDg6duyImZkZampqqKurv9YEBL40zoafBMBcp8lbjRWAVX6m2Bqq8e3hZJ4mqd5aiEVqOBh1JqMglJTcv4/1+CM7WP1OtcjNSWLv/4wVsXdfnoZX5VCaDcfSbek0JJjfY+wIPMffGysiEQ7Vq7Hl3B60L2QTOfYsSXtCKHhekiigadOmuLqWJBD5/eEjlEow86pKauQDUsLvIRFLGNOyO2k5mWy8eAg1iYg6TXwA2L7vyN9eW3HgvRDH8tUgGCylQamEmIsqi960PFhUeW9Rv5+fS/LLO9x4oEOMsglK48oELu1GnG4OQ3vvoOjy+uKxhsY6nNj3G9aRY8lXSEl2/wUrS3sCJ/iSGR+B7oQZzNc6g5GaAWucZiP7LY64WVfRrW5BuW2tEUnEnNt6hSt7b1KvQw28etb/ELshICDwJ5Sv40KTHvW4c/IBEWZFmPesSNrxSGJnX6WVcRPcKs8jSM8MzbjDZD/9BQANXQN8fjqGlrEF5+b0QC09Fj8/P7Kzs9EVu9F/pFfJAjmJPDp9lZD8OthJc5izrg/3YsKKu01MTPj111/R0dFh4MCBPH369FNvwQcnICCA+Ph4VqxYwZkzZzh79uxrTUDgS6JIruT289PIFRLGNPD903GGWhK2djYnT6Zk8IEStycnk+4ARKT+dU0WpVLJhe3X0NbXwr2RPfu3eJP6P2PFo/IITh86TYGJlDZVG6IuV3DkQOxr87U0wdHFFgdXT2wcyiGyq416kwmIq4wjStmGof3OcmpEIM8X3SSk0yFu2KziVvl1RE+9SO6DZAYPHlwsK6kogadXtNB0UyUUeXpqKwC9GrTGVM+QxSe2IZPL6OlTB7mmMccDT/z9RqpJQWogGCxfEYLBUhpe3IaUMNC3fa8q9n+QEH+P38/NICVdwpXYxmTpeHBwQRf0bLXxG7aTvOPzisdqaasTeOQ4VmHD0RTlEGY6ifJVmnNq2jckh91GZ8goFpa5jZZYk3XOc9C/XET4wJNI7fVxP+KPREeDl5GJ/DJ8C8ZWRgz9pY9QIFJA4BPQb2FX9E31WDNiK2azaqPjaU7sjMukBkbQwcyHlGrzeKkmRe32WLJSVW9JdcvY4fPTMUQSNU5NaYe1vkZxuuP61XpS18uuZIGkh2zaL6UQXZrpRdNu4RDiUl4Wd7u4uLBmzRpycnLo1asXKSkpn3oLPijBwcFs2rSJzp0707hxYxo1avRaExD4klhxJRUrg9+RKzxwMDb+y7GNnLTo4qHL2fA8HifnEcIzIrUNUZfaEZK6lRBlLEre7tUfcu0pEXeiadi1JicPdyf5xV3EXt2oWv87nu6+RaqxCETQtnILWnbtQGF+ydze1TVYPMOBEZ3jWDTFkj5LD6Hs/BubF04h6cRUuukZ8zS7iH5uhfz0vS4xG6xJ62dMTkY2cXOucddzE7VPmaClVXJ6dHy9Brlaz9GzciT8zHYUcjlaGpoMb9aZqKTn7L91lhbldSmyrUfyswgiIkqRWEDXAgqzoPC/lx1R4E0Eg+XvSA55pTBks3cuDPkHsqJCNi1vAUoFpx7U4JmkOr/N8qNKJRsajNtNxs5JxWMlaiL27zuE1fOfMSaaELVvqNh8LEEzO/P81mm0AnqxrHwMYpGYNU6zsY7Q5Yn/AcQ66rgf74iGhS6yIhkLuq4iLyufUZsHoG+i96F2REBA4C8wMNNn0PIeZCZnsWHiLirs80PNUJPQrkfIi0yns3V3blb+DnWFjOTzrcgqTAXA1LUqTaftpCArlRMTfalWsTxVqlQhOiqaEQN/xLpsSep0edQ51pyqiL6kiEo8xHfBSDJyS1wyGjVqxJw5c4iOjqZ///4UFBS8oeeXQp06dQgPD//caggI/GOUSiXb711DRyMTD8tmpZrTvrrqmWPc7Yec4T63RRHkGtdDLkvmXNZWDnKdl/kpJCQkkJOTUxzjdXjpKUCJUZ3TxIWdQFSlGZ6NJ1FH4cqmzZvIt9bBXM+UUdOv8OhySYX5SsYwevxP9B39ALeqfYh+Goja9Qa0MThEQ51HRHXexaDzuewpW56q5S05fjyZX4JzyVzgyKOQMoQFapPQOY28i09p59K0WO6DhxncuX0X5+ZdyU15Qfxd1enosOad0FBTZ1XQHnSlYpyqq+YcPV6SiexP0bdWfWY+/+txAv8J1D63Av9qMmIh5hJo6L13YUhQ3aR+/sEHbbVEbofbciOrBSsm+NK2sRuVv9/Hy3XD4JViSZs2bcRZfA27wlPEKyrg1H4TF+b1IebKIXTad2J1nTxkCjm/OM2iXKY1wa22osiVUfFkJ3TcTAHYNm0fodcj8B/fiirNhYA0AYFPSYPOtbm483cu7rhGg861KLetNY9a7eXJNwfwuNqdNhWmcz31PrWijxB4sSWNmlxAW6KFfd3W1B2xjCtLh3P6ez+8fz5BRkYGoSHhzJu7lAH9B5KXo3ogibx9h5sOpjRxSWHus0f4LxvH8e+Wo6Gmuk/17NmT8PBw1q9fz4QJE1i8ePEXecq6efNmBgwYQGhoKG5ubm/ErXh5ef3JTAGBfxcPXhZirK2KO7MzbPo3oyGZTFIcbmKkX5Ybtw2Y29wcG7ExucbWnHqxA9OUG8TrV2Gv2jXyY5Iois5C9iwHqVKTK/vu4tY1nsSn55A4eOLTZgPOIjvOXzjPk8x4ZA5GpMaYI467RFFByfNH55p2uLcfhkRdg+btN7ArrhouiRPwyh/L3q1APRDXlaKupUV/iZTODrmgyCF5oUpGIZDlAs9Gi6j6xJYDT9QoKFKlHt65tIDeO2vCFpVbmE315pjqGeFfoyk7rp0g7EUM7bwbsWKPFvsOB/LtiOFv2ZVX0LNSfWY9f++4YoEvB+GE5c/ISVIF2Us0wOX9CkP+wbLFU9GQnSUtS4td4V2Z2r8RgzvUoNmis4Qt6QWykiC3+QvmULeCEfYJC8hSGGLU5ijXln9LeNB2dFq0ZV1TCdmKXJY4TKWqqDyPWu+lIDYTl/UtMfRSFWwKDnrIvnnHcKnhSLdZHf7xVggICLwbIpGIIat6o2Oozeohm9GoY4HdjPrk3EskfMgplEolNWvv5Lm+Iz4JwSwP7k++QnUK4u43jEqdxvDywWUuLxhAB39/TExMiAiLZ97CaSWLyAvZdUxGdracQQ4Kzjy6Qf/1P7yWRWv69Ok0a9aM3bt3s2LFik+9DR+E+/fvc+PGDcaOHYuPjw/NmjUrbs2bN//c6gkIlJrAkFwqmP8OqGOuU+9PxxVkpfH41GYOzWyHuF0HZl1rQr2HS3lxMw9j9LDR9MBIWoWspFOkb7qPMqMIrZpl0O/kjPEYD54l56FnkYiF4wWU+lakp7TmwJJdbN26lZ9//plcK21Qgk6uDeqpN4rXdTeGAYv3IlFXFZjc9yCHjc9aEuJwgQoPB2N5oRk28ubYunphblUVI1MX7O2rINGrw+34StxJqIuTx7fUbTobU6emaLjG07BmSZ2UkJsQdPM85m61ibq4n6K8HAAGNPYDYP35A7RyN6TAug7hj+6SkJDAX6KuDZpGqhOW/37C268ewWB5GwVZqsKQSiU4e4Om4XuL+u2334h5vACJBLY+6ECvdnWZOagx3Tfc5fLsDpCfWzx29HeD6OLfEb37Q5GIFCjrbSN4+xJCjq5Dp2FztrQ1IFWWwc/246mvW42QgMNk30nAbno9yvRSnaJkJGWyqMcvaOpKGbdjKOoawiGagMDnwMTKiP6Lu5H6Ip2NY7djN7Uuxq2cSPz1IS9W30UkUceq0REKxRp0jTjCxPBpFCpU2YBqD55P2QZ+RJzZwcPtP9K5c2fU1dXJz9Rh2Fi/4jXk2ems3K2PYX4IHVzLsvXKMabtW13cL5FIWLVqFRUqVGDu3LkcP378k+/DP2Xo0KEEBATw4sULFArFa+2/ViRT4L/NidBMXMxuYaZdE3WJzhv96TEhXFo4mN86WHP5xz7Izl9Az74cetpa+MavInqCG0Ezu3D9/Cli71mDJB8X6xT667SkKw1pQiWcc8uQuCUEj05XkUg0qFptEVUq1MLIyIiHDx9y+8l9CkylSFIN0Y3YRU5WXvH6Y7t5Y16+BgAZeXJGHkrGSEtM7z1RaB8sS826U/CfcxK/nsfx73OGTv0v0bH/BUZPvEy7gJ1sv+fNsE32lCk3jO59TtO87TV6Zfmjo1nyqDlz/CocvLoiy88h+tIBABpXqI5zGVs2XzpCBTMRUueGAJw6dYq/Rd8aZHmQn/ZP/msEvgAEg+X/I8tX5faW5YFDE1VQ13ty/Phxfls/AjvLQq7GeFLZ05fVE1sz6WA0Oye1gqz04rGdu7Vi8oTZJJ7si7lGElmOY3hy+gwPdi9Cp0YDtne2Jb4oiVl2o2huWJ+IUWdIPRqBeQ937Kar3tQolUqW9F5L2ssMhq7ujaVTmX+8HQICAu9P014NqOpdidMbL3Ln1ANct7ZG09GQyFFnyLz2HJG+C2pV5mFblE+d8N18F/0TRUoZIrGY/2PvrMOizNoG/pughu5USQUEuxXFjrW7du21Y1071o411i7s7gADW+xWREFEpJWSrgFm5vn+YL9h/XZX38/3fY11ftc1F1zMfZ77nAPM89znribT92DpUYvHexaQdi+Ajh07kp+fj7dbSxq1LC0ZmvImm6NnRbhkPaZquQrM99/ClqDj6vcNDAzYuXMnFhYWjBo1ipCQkM+xFR9NWloa48aNw9pa83mm4eslq0BJQvYD9LRysTd+N4xREASuLfuRQ/08eH5yE9qOLigmjMZh12E8+g3AsnsDkhs4k1tPwrOCg9zxb4UQ+oCiGBEmjuHo6ephigGelEHYk4Vzvato6+fQuO1qGjXpQdu2bRk8eDAv4rPJt9ODN1loX7vH6/gY9RzKW+hgVKMDiYmJAMw4l05ijpIZZoVIzr3CeqA3qlnODHk1nVahA5gSs5RDb8+QVJQKQNdmnuyY1ZGElGyaDt9F4tscPOvWoNbYifSWt1TriY+Tc+DGCZBIiLxU0gBTJBIx2LcTqTkZnAq+RuMmTRDEUk6c/BcOWAx/z2PJefNv/HY0fA1oDJY/olLAq/NQmAVl6oGp80df6ubNm/z801B8a+WQLZeRpjuY/Qu6sOFWOktGN4c/VPVp0rImm9bt5faRGVQzuEu+YU1ehAk82f8rhlXqcqS/B7FFb5juMIIO5s15s+oBiWsfYexbFrctrdVx6SdXn+fBmSc06dcA3z5/727WoEHDp0EkEjHSbyAyIz1WDfAjX1GE5/FOiKRinnc9QVFyHuIKwxGsG9Ej4zXy16eYFrMMpaBEqiuj5YIADG0cub58KIZ5CTRo0ICkpCSG9v+Fsq4Gaj13HgvEvoihfLYBjhZ2DNu+kLN/6NHi4ODA9u3bEQSBfv368ebN13Nz79mzJ4GB/0ICrgYNXzAXIwtws7gDgK1h43fee3lhD+GnNmNbuSF1V50ia0x7RJkPidzSg6unx/IiZC8G2rlEi6qSJziAtgjESciDBV6cPsWbNyX/669CHnP11BSsPOJwrtAFr+qD1ToWbbvC7atnyVMWw5UoCvLy1O9ZGcPgAd/zLDqFLVu2sO9KKOtuZ1PPQZs6iy6CtQ6XZ6TR9cVI7uYEI0LEqYzLzI1fQ9uwIexN9UclqOjbphIbpnzHq4QM2ozZh7xQgeuAWvzYux8GlBb+2bn/Mrq1ypHw4ALy7JKiI/192iGVSNkcdIzvKltTaF2Ne3dukZ2d/f6NNbQFRCVtJzT8o9EYLP+LoILoy5CbBFbeYOX10ZcKCQlhwIABNKyZia6OkvtpvTi6fCAnXxQyZlQXeBOllq1cvRzHDl7gzJEtNJXtRyE2JCK1BsF7FmNUqRb+Q6vzsiiOcbYD6GXZjrfHI4gafxk9dzM8jnVCrC0B4NXjGLZPOoCdmw1D1/zwb2+HBg0a/jNYlbVg+Ib+ZCRlsWbwVmTelrj5taLoTS7hPfwRlCCqsxlBasivSVHcSLvIrLhVqAQVMjNrWv16Bi2ZIRdmdaVyOQtcXV2JeBHJssXrkBmWfoQfOQsGGYepJmuHsZ4B3dZM5nFMuPr96tWrs2LFCpKTk+nXrx95f3hg+ZIxMTFh5syZtG3blqlTp/LLL7+889Kg4WsgMDwfD+vbiEU6WOrXVf88Py2RW6vHoGNphXnbhly5MBDFgYUURtxFYliHeMnPXMpYx7aQsaxLnMt6+Xb6TUrBU7sr0mJQpsPhTY3YssSFk4erYV35Ptpa9rTsulV9mLlw23XmLfOj0LAY4fG7D/a1GsG5NdOY2KMmQ37oia7MgJ/P5SNGYEbkKwoys9lw6CVrM/dRRseW3eWXE1hxG9e89rPMcSoWWqYsStjIwMgpJBQmMbRLDX4Z0pDgiCQmrDyPSCSi6oeKPAAAIABJREFUql8n6uvWVutMTIFbsVEU2SjUYWHWxua0r9qQC8/uUsEsncIyDVEqij/ca0miDfpWkJNY8hyn4R+LxmCBklyV+FuQGQOmLuBQ56MvFRUVRZ8+fbAyy8LDKZeoLA82LFrOw2SBnhPHwNPS7tNlnY25EHifC+fPUUvlh0xSQExhc+7tXo2JZw0CRzTgmTySwdY9GGzTnZwHibzocxItSxleZ7qhZaoLQEGunKU914EgMHH/CGSGf905V4MGDZ8H39718O1Tj7sBjzjrdwWrvhWxHVWNrKvxRE8JAgNHRNWXYlqUzfL0DE6kX2BBwnoEQcC0nAct5h1HWVjAuWntaNWoDqampoSHxbJk+Wy1DoUCTpzKIvHpUTq5/UCxUkGbZWOIfVvqTenYsSMTJkwgNDSUYcOGUVz8ga7WXwD379+nSpUq5OXlcefOHa5fv65+3bhx43NPT4OGDyIIAhdeZuJm+Qgr/bpIxbrqn19bPpR87UzyvOXcuzafwoJC7rxtzS8XxzF6ny+/bQvj1J5VPDsxD7a35s3a1pStN4x9lyoTfqwTyUluKIp1SXuTQtJTF5zLzmXgxGfo6BojCAKzNwUxfd0lzIvDyc3IhqLSvK/eE2Hu2O+oUrseiKXYObpR7N2LJJUZjeSh6G24w571MYQYRtHdog1HKqylir4HAGZaJrQybcgx9/X0tGjLg9yn9I4Yx8uCGH4Z3Ajf6o6sO3yfo5fCkOhr88PIQeigq9Z945GMYicIubZO/bMhjTshCAL+90/hWqPEC/UveVeN7EFVXFIsScM/FpEg/PNLKzg4OJCQ8B53YVIwvL5XUiLPtTWIJR+lJykpiQ4dOpCclMD3XXIw1JXTrNcdVCae1Ju+jOJ9s0BZcgKgJ5Nw795D3qZmIA9eSivLC6SqqnJ86z1M3Ktx+aeW3Mh/TG+Ldkx1GE5RQg6Pa+1CmVmI95WeGNWxV+tdPWgzF7ZdY9Dy3nQc3/qj5q5Bg4b/LnlZ+YypPJ3MlGxWPpqHvbM1Ib77yLn9Bk//zpi3c4UrbSHxAkvdu7FTnE4/y85MsB+MSCTi5fk9XFn4PRblq1F7+mF27j2Arq4uL2Kv4Lf6lFqPu5uUaNPxDBngxtqb6/G0d+bGzG2Y6hsBJQ9JP/30E4cOHaJr166sXLkSsVhzdvX/4YP3FA0a/kBIYiFddp9gatOeVLObSxXbmQCEB27j4pFBKOxAJDXidHxLrjx2wqjwJQ6GBcRFPCQz/a8fwr2oiSOlpXyl2iKmn/iZGq0rA6BSCUxde5Elu27hZZ1P3N3NZKeVJqbXbgrDZuvSt3Ya0rAjoGNEnPV3eC6Px0pfzMqdJzjX8SlXe7yhpZEPS52nIH5PH7rLmbcZH7MQI4k+W10Xo59rTpXeGykqVvJ471CUSZm0rdGJFzxRj5k0WIqthYIeg29i61IPpUqJ8/h2KFRK+rbczdapfTDOjyEs9Bk6Ojp/v8E5iRBxEuxqgG21f+l3ouHrQ3OXSosoMVb0zMClxUcbK5mZmfTu3Zv4+Hhq1jPHXD8Ht2qTMbDxovGyfRSfXKA2VgC2bPNDUIl5eusYzSyCkAumnNx5D9PyVbk9vh038h/T0aw5UxyGocwtIrTtEYqT8ii/67t3jJWbR+9zYds1qrWqRPtxLf9qaho0aPgC0DeWMX7PMBSFxSzrvR6loML9QAekZrpE9D+DPC4baq4BiR4/v35Ebb0K7Ew9xprEXQC4tehL9QFzeBvxiKcbxtCmVUtycnJoUKM7Neo7qPWEv1RQXjuQTTsSGe7Tj7DXUXReNYHC4pIKZCKRiGXLltGsWTOOHDnCvHnz+AbOrTRo+GwEhufjblWSv2Lze/5KcvQ9Llz6EYUd5OPBnHPfc+9WPpbJ+yiMOU/InbN/a6wAPOM+tz1zye6UQ53lQTQcfgJR8glUSiX58mJ6TjvCkl23qO1lTznxc3KystRjDWXQeypUKTcNqaAChRxB15zhx9+SVySwQD+Pe3VecrXHGyxTjXC9YkZ+Xv7fzgWgiUldVjpNJ1uZx6DIKeQZpLF7bieycgvpOe0o9p72uBtUQioqfcZ68qICSODk/k7ICzKQiCUMatSRNxmpGBKMvIwPBfl5H/ak6luBWKppIPkP59s2WLLiIeYqaOmXeFYk2h91mfz8fH744QfCw8OxLF+FOs6h6Bh6UKvZdBqsOEFu4GTIlKvlh47sS8P6LQjwP05n20AkFHP+VCqG5SrzaGI3LuTdpYVJA2aXHYtICeE9A8gLScVxYUMsu7mrr5ORnMW6odswNDdg3PYhmlNSDRq+cCo2qEC36R2IehzLjskH0S1rRPmd36HIkBPewx+VTjnwnoE45xUb5Pp4yyrgl3yATUn7Aaj2w0zKt+xH3J3T5F7bTqVKlYiKiuKXKasxty5tqPj89lOMDbLYt7+A3rXbE/T8AQM3z0H1e4NaqVTKxo0bqVWrFps2bWL9+vWfZT80aPgWCHyRT0XrO0hEMixltYh6cYpD23xQ6iqJSarKzOO+FIXtIzfiLImvE/6UX6alpYWhgSGO+q6I/3ComhZ2AoqNMKyWiuy7PB7unc2mfvVpPWg1hy+G0bWpJ2tGV+fixfMIitID0/7TdDA1M8LTbgzkpwGwJtyKM+H59KmoR+KtXZwYG4WbVjkmag0g5XUy27ZtIzMzk/fha1xHbbQMezWD6jXMmdK/PvdCX/OLXxC1WlTHQXBRy1+8/YK8UDH5hSlcCxwPwMBGHRCLxNx+fhrBsaS88dmzZ9+/wWJJSYRMbhIoiz78C9HwVfLtPuHmpULUhd8bQ7YB7T/XRP9XKC4uZujQoTx48ABd+zo0rBiKRCzQsut2Gq06R+qNafDyrVreu4orc2Yu48CBA9Qyvoe9dizPnikp1PfmxbR+nMy9ho9RDX4tNwmpSELU+MtknInCur8XDlNKc2sEQWDdj9vISctlxIb+mNp8fK8YDRo0fDp6zuyAZ4PyBKw6x5kNFzFv64rDxFrk3E0kZtpV8BgHJt5oP1+Jn0Uf3PWcWZO4i10pxxGJRPhM8MOuamPCTqzDUR6JhYUFwY+fsXr1av63kb1CCYqnW8hRSLh53phWXg3YdzuQGUdK48VlMhk7duzAw8ODBQsWcODAgc+0I5+XwsJCRo0ahZubGxUrVqRv376fe0oa/kFky1XcjcvCxeIx1gb1eXxzJQF72qEsLuLtMzvW3q2HNHI7eVkZf+orJJFI+K5GR+qrWmFn4kChUR6Vq1R5JxLk2qndnFrhDgYqkprbIEm4S6+ECayx38Voq0sM69WeQnmhWr5+EzOqtCqkhsNitCXGUJDG4wwDJl6V4mquRYv40+wY/xSrIhM2lp9Pm8ataNu2LRkZGWzfvp309PT3rtfXuA7zyv5EcnEaE2IWMnOoD/UqlWHZ7ttouVjjhIf6c0qpUHAt2h5xJoQ93klKYjAOZta0qVyfsyE3qepuhtLYkbPnzn2455JRGUDQeFn+wXybBktR7ruNIfVMP+oyKpWK8ePHc+nSJQwdqmJqI8LFLA6vGkPpcTSdV49/gTsxanl9Ax0O7PXn2LFj6BbF0cT0EllZAi9T3YmfPowD2eepYeDNCqcZaIm1eL3mIW/WPMS4URlcN7VSV/wAuLTzOncDHtGwV10adKv9F7PToEHDl4hUS8q04+OwdbVm06hdPDgTTLkFDTGsa8fr5fdJOx0LtTeASoHhw0n4Oc/DRbcsS177cSD1FBItbZrPPYapoyf3/SZTr6wMsVhMyhs5Q0d3UevJTMnCVHmX2OR8Up65U9OpIotObmfT5SNqGRMTE/bu3UuZMmWYOHEi586d+xxb8lmZMmUKYrGYiIgIQkNDWbp06eeekoZ/EFdeFVDO7BEScSE6WWW5cX4ykkIdtB6L2RbfHGnkNooK5e+MkUgkuLi4sGjiEkQPDKjXqC63g28xdOhQkhLfYGVXFiSlHtULAU9YPdoAs5opSHv+hMyrFSZack7v28zjyNIHeFNzA7pNS6ecSSfcLYYBkJuVTo9b3gjA7JqvWeXrj26xFpu8F2GtbQGUVBjs1KkTOTk5bN++ndTU9ye3tzNrQh/LDjzIfcaq5O3sX9gFUyNdVtyMRB9DXO3MS+cekkBycMn318/+jCAIDGncGZWgQq84iIIyPqS9fcvDhw/fv9HGZUq+Zse/X07DV8u3Z7D8b68VRQE4+n50Y0hBEJg7dy5Hjx7FxM6TWLzpXTUIXZk5a1634kHwbEQ3oqC49FRgs992njx5QmpKEr1tjiNGwcOIMqTMnMC2rAC8ZRVY5zwbXbEO6WdeETXuEnrl3y1fDJAS95bNY/dgZmvCsLWaEsYaNHxtGFsYMvvMBPRN9FnSYx2xYQkl+SymukT0O4083x3KD4PUm5jFnWCL6yLK6tgxP2EdJ9IuoGNoQqtFp9EzseLR2pH4eDiQlZVFg1qdqOBV+pmWdvsoDh62PHqeinlOY1ysHBixYzGng6+rZWxsbNi/fz8mJiYMHz6coKCgz7Ajn4e8vDy2b9/OwoUL1QdCtra2n3lWGv5JnIvIx93qLkIRRFwOQCTSRiukkFMZtcmMPExhQWmneT0vY8r8VpUKFxtTaVNjnl2IQVdfh3E7fsTU3IRZs2axevVqdMQqzMzM0ZYZqceGPcxl/WQVpvVv0HftKXoeiGVfss07+Wn9fynCxrIMDcptQSQSIQgCI4MMeJkrY3KbfNZJf0UpFfjNcCJuMkdQ5EPyNQhdQqWiHYys/YoGescJPzKA7BfHoejvQ8Qm2A+mhoEXe1P9eaL9kB2zOpJYqERpIsM1vxZaWiX/b4IgcDRUhGGxDfFRl4mOOE2byvWxM7XkWfRZCuxLesp9sFqYjhHompSE+mty8v6RfFsGiyBATBDkvy2pJGHm8sEhf8fatWvx8/PDzNaV50JdxrUMRyKkE2U0iIA7SxA9jkdIy1XLDx4yACsrKyIiImhjfAkznWRexpqQ8NN81mYcwk3XkY0u89CXyMh9kkJ4jwCkJjpUPN0VLbPSMsUqlYrVA7eQn13A6K2DMTQz+KvpadCg4QvHzs2G6SfGUVykYM53y8mTKN7NZ6k4G3StIXgmloKEra6LsdO24pe4lZzJCMLQ1pGWi04CELNrIh5lLImMjGTW9OVo65R+tCcFzMSrsQ9nr8dTz7QbpvqGdF8zmftRoWoZZ2dn9u3bh66uLgMGDODSpUufejs+C69evcLc3Jz58+dTo0YNfHx8vpm1a/jvIwgCZ1/kU8X2DoVPpBTkpiKEC0RnGnMz+jkF2aWJ7B51KnL01DGaODXAqsiMCLMEHi1/ielKawSj0uiKrl27cuzoEfSMzTEy0MPWrrQIz/P7sHbefe68+oUuXTqR8Lq0pHmN1vp411fQyHkfOlIzALbcSmVXlCXNK8QRpDsPiVYua+/b0aDoGATWhUMWcLEZBM+AF2sxf7uf2sb38DE6j9GDHnDYCk56wa0B8GI9ZDxRGwtaIinLHKdhrWXO3Pg1VKljyNhetYnR1kaSYU6j1qUljl9kCDw4n4xUS8b1sxMRAwN82pOUmYS2uQKJoRXnzp37cHEQozJQnAcF7w9b0/B18m0ZLEmPISMKTJzAtvpHX2bv3r0sWrQIU6syhAkN6FTfEDvxaRT67iy7exNev0V4nqiW96joxsgRY7hx4wYuhU+oZHyXvAIpz3qtYEn6bsrp2LPZdSHGUkOKEnMJbXsEVaECzxOd0XN9N1zt9LqLPLkUSsshvuryhRo0aPg6qehTgbHbh5D2OoP5HVdi1NIR+wm1yLnzhphZwVB5LhSmQuhibLUt2eq6GEstU6bGLOVi5k2s3GvSdOZ+5FlvEa6sxsxAl8iXr5g0+We1DkXGG57d9qdirarsPhFFJ9f+qASBVktH8Sw+Ui3n7e3NoUOHkMlkDBw48JsIDysuLiYqKgpPT08ePHjA2rVr6dmz559CXn777TccHBzUr9zc3L+5ogYNpUS+LeZ1VjbWOY8peq0gNaMM+XHFbHqlIudtqXfCt3Fj7l+8S/aTTCIuJXJ7XwxxAZkUS5Tcqv6IWme6Mc9/MwVFJaFjNWrUYNbag4gNrRFUqne8gpcPw3f1FhIQUFrqXGqixfAZMho67cbGoAEAjxIKGX0qG0fLOIqqbaBZVjgXwu/SwGwnvFgLeXFg3xqqLIDml6FTzO+vKCKdt3I2tTkvCqugUhRB9F54MA7O1ITjTnDnR4g7hoUgZlG5ichVhUyOWcL8Ub6YeJdUNPSyKYu5camH6Fi4CnvLZmS8Defpw80MatQRAGPVFXLtGhATE8Pz58/fv+GasLB/NN+OwZLzBt48LClf7NQY/pAP8v8hMDCQyZMnY2JuTbioETW8HOlZ+RwqlYK1r3QRCvIwfJyslteT6bDFbweBgYEYv31KXb0AtLVFPKs+gdlZ+7HVsmKL60IstExR5hcT2v4oRQk5uG1tjbFPmXd0R9x7xbYJ+7F2smTg8t7/1nZo0KDhy8C3dz26TW1H5INodk45iOPChhjWseP1snukhdUD08oQvgZyoiijY8sW18WYSI2ZELOY61n3cWzQgbojV5AV/wK7VwGIBCXmpnZ4Vy7t0SC6s54olQx3Lze27I/hh8qDySnIo9mvw3mZFKeW8/Ly4siRIxgZGTFkyBBOnz79GXbk01GuXDnEYjF9+vQBoHLlyjg5OREaGvqO3Pjx40lISFC/DAw0nm0NH+ZcRAHVTAPRC1fiaKRDufQMVkaIyXqbo5ZpXMuOkys6s/HwFAYenc/tzFcYF+pje9SIJiENsS+ww8Bdm/Xpe/CY3JmAR1cBGNzCE+ve6xH0LVEqlchkMvU1M/9ob+tIGTK7Ld/XjsLFrOS5ISNfSdc9SYi1s2lQbzG/RQcxKzkcqdgAaq2H9mHQJQEaHYWKE8GqAcjsfn854Fr3eyx95nIg/js2Jo4jv80r8PUH97GgZQivdsD1nnDEllp3xrNebkhexiO2vz3Ito39UUkh82EZBk9qop5mSgFcOhmNvqEtdy7Pws7IkOZedUhOu0OeQw0AAgIC3r/hBrYl5Y2zNAbLP5FvxGARIPpySWUN52Ylf9Afwa1btxgxYgT6Bka8lDbGxakMG0YZ8CbmMvfybIgtkFAxXpucjNJ65ytXrCY4OBhp7D0qZB7HxVlMinkdhooeYyY1ZqvbImy1rRAEgYiBZ8h9kESZGXWx/t7rHd1Zb3NY1HUNYrGIqUfHaLrZa9DwD6LP3C541C+P/4qzPDj7BPeDv+ez9D9LkcNsUBVB8DQAnHQd2OK6EAOxjHHR83mU+wzvrmPx6jKGtLBbVMi8R1ZmJn16DUAs/j1OXKlAHjidLOc6uLk54Lc7gcE1h/A2J5Omi4cR+7Y0dMTDw4OjR49iamrKsGHDOHbs2OfYkk+ChYUFTZs2VXuTYmNjiY6OpkKFCh8YqUHDB5Cnov1yNUcsZtG/nBYdbJXsD84jNaO0vHDryiLODEvB4Nl4ftbaRKzvC640Kkvjk+YM9urA+hEzOFlnAzX0vTGvIkNRvpAOK35i6Lb55BfKmd+jCm+brcLA3BYdHZ13CvMAaFkbYda9JitGHEBLUmJkK5QCfQ+kEJOVzwSfSWyKvUbV/EySrteHdiHgNhgMXT94qFu9enVatGhBamoquw+dQW7eGKovhXZPoUNESU8pu5aQ9hCfqOMEvLpD+1tjkOWtpmz1cqQFWyG1T8DTubRVw/4rz6hWbxoFeancv7aIIb6dUKmUFBu8Rc/ECn9///eHhf2xvLGi8O/lNHyVfBsGi6IQivOhrE9JUtZH8PTpU/r3749YIiVevzmW1vacWdGFu5cnUaCScjLNinZGtQm9e089pkuXzpiYmJD79CJmkf408NFGKdZloLkeMrEufq4LKKtjB0DCkru8PRiOeafylJvj845upULJsl7reBufxvAN/XGp6vjRW6FBg4YvD4lUwsT9IzA0M2Bl/83kiIrV+SzPR2Yi2LeHuGOQXJIs76bnyAaXuUhEEkZGzSY8P4o6I36jXP32ZDwKxCkvFLlcTvfuPdQ6hLh7JN45im6NZpRzMGfjjjcMqzuYhPRkmi0eTuIfjmXLly/P0aNHsbKyYtSoUaxevfqT78mnYuPGjSxZsgRvb286dOiAn5+fJvFew8eTGwP3xyGccOFHrXlYShWEKQRGHLIg6Hnpw7Z3y8rMCbxHt4T2tHtYlo1xLujrmuCrd4btq04zfNBTyItDW6zNGpdZlNd1wqSONvWae+J35Rg1ZvWhjH48lT1cSGy2nkpVqmFoaKi+vq27E8VNnJjU/Ud0tEp6zAmCwGj/twSGZ7O53gjmJl9DUGnzdMFAlBWXITWz/H8ttW7duvj6+pKUlMS+ffsoKvq9B4qBI5QfCr7HoVsSND5JtnNfZCoVZZ8tZfbwc5gaFkJ8BpVb9lJfL10ucOFkGBbWlXh8ewWNnR2xMDRBUngFXJsQGxtLcHDw+ydlXBYQIEdT3vifxrdhsAhKMHMDc7ePGh4VFUWfPn0oLCwi3bQFWga2nF3Tl7DgZRTlveZshg0dKw3iwo5t6jG2djYMGjSY6KBDmISfoHY9Ewz1layzciFZW8YGl7mU13MCIP1sFDFTryKraEH5nW0Qid892dgyfi/BF0NpNbQJzfo3/Ph90KBBwxeLZRlzxm4fQk56Lst6r8ektRN2Y6qTfSOBxDvdQawFjyaCUHJC661fgTXOvyBXFTL01QwSFMk0mbEPi/LVkd8/gnn2S1xdXbGxsVLr0Lk5h6fRKbi1ao+NhSGbtqcwosEgIpPjabZ4OMlZaWpZV1dXTp48iaenJ4sXL/7k+/GpcHZ2JigoiKdPnxIcHEynTp0+95Q0fI1khpYknwd4QMR6siRlOP1axeZkBRvljmy5WtqPTd/ciHE7F/HDyoWciogmS1EDbeuJPNE9yrJ1dchT2GCQtBX8K8DN/hjmxrLRdR62WlYUVs5lZp9BRCYnUG/uAHys71Kga02FIVvp0qULlpaWWNlYIzRxwdLEnJHNuqv1/hqUye57iVyq0ZtB2TdJ0DEj7JfRFBZWwXZolY9adsOGDalXrx7x8fH4+flx48YNsrJKo0yQ6IJdS4zqbiOo4VYOm9hhLX3CmkVncUyScP1NIuXKlBZAWrV5N3WaLkapKOR+0Gz6NWiHsjiRWDNHAE6cOPH+CRn9HkqfGfNR69Hw5fJtGCyIoEzdjxqZmJhIr169SE9Pp9C2FQVatgT81hMtSQIv7q/iTZEulhVnE7pvB/KC0lrqS35dytNT2zEJO4Z1OSsqusuJ1DVml5kdq51+obK+BwAFL9MJ7xmA1EQXT//OSA113tEfuOkyp9ZcwNvXg6Frvv/4LdCgQcMXT+321Wg/riVhNyLYP+c4Tr/6IvOy4NWMGAoN+0H6I4jeVypvWIVljlPJUGQxJHIa6ZICWi06hYF1WXSCD2KQ95q2bdur5Quz8ygbOoeLUcW07NsNYwMdtu7MYLhPf8JeR9FwfonH5X+xs7Pj+PHjNGrU6JPugwYNXw2ZoXC1M5yuWpJ8buWDyvcUG18oeJ4jQqs6nPDPR5GtUA/p6TeKvbv8CX8TQxubKnxnX5VOHTux5xd/bge7IW73EBqfAquGELMPTlfH6skCFtoNQq4qJNk1kRsztmJhaMKq0wuxVm7H71EB9Yf+xoIFC2gz5nuSstOY3LY/BroluS07HmTjd+kJj7060bj4KbeNHckPHIs82pBy83zeaZ3w/0EkEtGsWTMaNWpEXl4ely5dYuXKlaxZs4YdO3Zw5MgRzp49W1J0KMkV/3KdGONQCbRFDK4bzZZmZym0rKG+XlJGLtduvcHRrTUvQvbRzbPkYFepFYm5bVkCAgLe30RSx7CkXUVGtCYs7B/Gt2GwSLRBqvthuf9DRkYGvXv3Jj4+Hmm5VqQobdk3vwuV3M1ZvakdWiIVr0yH45YQyeNHj9XjRo4cydvH5zEOO4qemTVNe1REJCiYZ+PGIqep1DWqCoAiu5DQDsdQ5hThfrA9ei7vVgQLuRLGplG7sHG2YsqR0Ui1Pi73RoMGDV8P/Rf3wLW6E4cWBBByIxz3/e0RScWETnZD0DKFJ7NBWXo40tSkHnPKjuV1UTI/vppOkbGMVovPINWVYR52GEdTbWrWqKaWjws6jUfRHXY8KeLHUT3RlkrYtTuXsY2HEJEUi8+8QUSlJKjlDQ0N2bVr16fcAg0avg4SL8I5H0g4BQ7toeUNaHaeBzEx6BZGkGTqwelIG+IDS3PEXH28yCxQcjnkHo30K9Ai2ZHWdvW5veomsc8SaD+2BWZ2pmDXApqdK7mmeQ14sZaal3sxp9iUm9kPSDFL5eHcvTT2qEFyyhm0M6fz4/4rmNXqwvnEEKyNzRnetCvp+Uq+35/EkcBDPKzQFRdRPH42XpQxnE7qXjH6lS2x7OX5b22DSCTC19eXn3/+mR49elCxYkWkUikpKSmEhoZy9+5dLl26xMmAk9id0eOazIZu5eryINSalqavCep/GRPT0maSc+f8Qp2mC0Ek4vWTDdR2qQLyu2h7+pKcnMzdu3ffPyHzCiWRNRmv/q11afiyEAkfLGz99ePg4EBCQsKHBf9AXl4ePXr04NGjRxi5NudFvjMbpnzH9209aTGjHd30LvNKVIUuTVbSpEljdSJYRe+KjO7QCG5sRNvQjDZzF2IdOpKzRlbk1dtKF/OWAAgqgbBOx0gPiMRpWWMcfq71jv43kclMqD0bRbGCZXdmU9bT/k9z1KBBwz+TxFfJjK06Ax2ZDqufLCD/UCRRYy5S4ZdIrMrvhGq/gsdP74zZkXyUZW+2UElWgS2ui8gIvsWZSa0QyUwJL9eRdVt3IJcXA2DtbIRswH3iciUs85Xyy6J9KBQqRg6x5rfLG7ExMefSlI242zl9juV/8XzMPUXDP4yoPSXle7UMoOFkSW2jAAAgAElEQVQRsC4J187JzWH1AieQKMnwdWD9T/EUPCsJkZJIJQxo2p8tlo/wSjFn5cXGaKskqBDYwkvkIiWrz8/Atpnru7oEVYm+4GkgT+G+gRVLHaqwqfJeDEX6zD62iSWnd1GsLEYktUFQJNHTZyTV3NoT9fgggw23UF0WRr5Yi8n2FfmhyiaMf7hKsn8hFQO7YdbK+b+2TUqlkry8PHJycsjJySExMZHTuUGcdbiH4UltJimDaeOSwr6bSgb6FavH7dixA2vZBcJD9mJcazEDDx1EV7ctpqe30LdvX5YsWfIepcUQsqckZ9lDE+L5T+Hb8LD8PyksLGTgwIE8evQICzdfXuQ7M/vHRgzoUInqs8fgI7lFsSDl54F76N+/r9pY0dbRZlinpnBjIxI9I1qtOk9B1CyKRCJyvKepjRWAuDk3SA+IxLKPJ/bja76jPy8rn/ntfyMvM49JB0ZqjBUNGr4xbF2sGb15EJnJWaweuBnbkVUxbeNMxKJyKLGFZ4uhOPudMf2tuzDYugch+S8YEz0Py6o+NJywGVVOKq4JZ2ncqDT/LTkqmyrp4zHUETPrlopNC/qgrSVh7eZkJjUbQ0p2Bj7zB3E38umnXroGDV8+Ycvh9kDQs4XmV9TGikKhYuq8EehL07gm7sOZcNTGCkAzm7rsMX2CVbE+I3LrkNvdFOd1zckb4kwmRVSVWBDVzp/UI+Hv6hOJweUHaPsUXAZQMzeFHS8ucvVePyTA/G4jebnsOG2qtkZQJKMnNcI8I5au0bXYYD2eyvrRXLOpRQfnmlSvMJmKEXoknyzEuJ4ppi3/u4cSEokEIyMj7O3tcXd3p3HjxixtO5sGBjXIaVfEtpcVOa8zBN9KRrjZlI6bNWsW1RpMQySWIEs6iUzHCHnxfeyd3Dh9+nRpgv9fKtUCU2fIT4X8tL+X0/BVoTFY/g9KpZJRo0Zx/fp1bMvX52lueYZ2rs60gfVpsHAiltnnsNGWU8NnGosXryY2tvSUbeT33dG6vg60ZbRdeZHzyfNxLHhLiEMzujmOUMulBbwkbu4tDKpZ47a51TulCJUKJUt6riP++RsGLO1FjTYflwinQYOGrxufHnVo8kMDHpx5woVt1yi/rQ1SU2Oi99SHogx4seFPY8ba9qObeRvu5DxmSuxSXFt9T7UfZiLOjKeFfgIO9qVhpyfXnmZm3XvkF6mYel3g8IofkOlq8duGOH5qOJq8QjmNFw1V933QoOGbRxDg8XR4PBWMK0LLa2BSEQCVSmDkooPYcpRswZrkOjnE+JX2A9EWa5HiqodcqqR1uSooe1nTYlt/7EdU42ZkJBKphL7+g5GY6BDezZ+EpX8R9qRjCnU2ITQ5Q4G2IR2jz5AaWAWywihnbsvp/l2J7lebtBZhrHVYjIO+nHyPmexpsIQRZoZUsmpBP6vOxMy4DSpwnFfnT6WQPwUikYi5juPQLpAQNwC03WwobHyFbr6l1fliY2M5euIqFasNJDHuJoOruIMyGcGrKhkZGQQGBr5ficXvpcnTXvwXV6LhU6IxWP6AIAhMmjSJ06dPU6Z8TR7leNK5iSdrJrai9W+/EBZ1hdamb9EzsKdQVZNNm/zUY2tWq4Tbq4MIYi2azvdni/ZVmsddoECiS/Xau9Vy8uhMIvqdRmquh8fxzkj0tN6Zw7aJ+3l0NoTmAxvS4adWn2ztGjRo+PIYsqovFg5mbP1pL+n5eZTf3oakC14U5ZgjPF8Jxe92XBeJRMwoM4KWJg05n3mDefFrqdZ/Nq7N+yJLe0FXb3t1ewVFMWye1Z+1nXWIzVAw86aKwHU/YGEiY+n6KH6sOhoDHT06rfyZjZeOfIbVa9DwBSGo4P5oCFsK5rWg+SWQlUQ/CILAqCVniA/bgL52Abcs25MZE0bB01LvShWzijx2eEtNU2c8zBzo1asXenp6RD+JJeTKc3x61KZsG3eq3P0BmZcF0ZOCiJ4c9Jd9R0S2zdBpF4q/lScWWRGoztQE//IQWBvH5C3oyUyh5mq0urzilnMTlqWdwF3PmXllx5N5MYa0cylYNNPGyPffy135d7DSMqdXVmuUFgJr39zG3dObZj9dpaxVaeGhefPm4V1rAhKJNlWFO4CI52Shra394bw6fWvQMYa0l6B6T5L+t46iELITSvYpOQRe3y/5vjj/c8/sT2gMlj+wYMEC9u/fT1m3ytzLqUzD6k7smdeJ3n6LuPT0HK0sBGRiOdUbzGLw0MHqcXoyXTrovUQEVBrtx+UyKWhFbsWuWI629wxEOmYAqAoVPO/ujyKzkAp72qJb1ugd/YGbLhOw8hyeDcozfH3/z3LyoUGDhi8HAxN9xm4fQkGunHU/bsO0tTM2w2sSe6g+oqI0iNj4pzESkYTF5SZQz7AaR9LOsjZpN40mbsGmUkM8Cp5R39tCLRt+T86T6+2Z0tiEu3GFzLyhImjzQDycLFi1I4K2ZQbibGXP8B0LP+WyNWj4slAVw63+8NIPbJpA07Pw+31dEATGLjvL3pNXaOJyF6mxK3F1Eknb9FI9XFusRUgLKca6+jQz9aBbt26Ym5ckmQesOg9A+3ElIeO6ZY2odK0PhnXtSFhyl8hh5xCUKv4vBjpWVPE5zVAXHyK0ZSgEBbiPgeZB0P45lB9GRHEyU2OXYSY1Zo3zLHRVWrwaexGxDjhNLfvRTbT/U4yoPwD9K1pE2ys4nX6ZxrXcaN57hvr9xMRE9u4/hXfNYWSmPKGZvSX5+SFUbdKY27dvExER8fcXF4lKvCzKQsiK/QSr+YoQBMh+XdJQPWQPvDwDMVcg4Q4kPS75PmQPhB6CxEdfjMGnMVh+Z+3ataxfv56yzu7cy6lOpfJ2nFjWg58OrOHIneNYy8riox+OjUNtNmy/yev40tKfnZ3FWGgVYdF5JqkNbNmWsJURb+NQyeyRuI9Ry0VNuFLSyX563T8luT08G8LGkTuxcbZi2rGxaOm863nRoEHDt0mVZl60GOxL8MVQLu24jtOvvmQnNkWeZozwbDko8v40RkusxUqnGXjLKuCXfID9mWdpMf84Rg7l6WL4FmPD0sOQ3fMeU9N5NUNqGXI+ooApl+UE+Q3Ap2pZth+NpLzQkeqOn+8kVsN/kH9+jZ3/PIoCuNYNYg6UVALzPVGSaE+JsfLzivOsOXiP/nUeIxUVcbWCM3kPk8kNKfWumNZ0QS5W8p2pF53atsfZueT+n5mSRdDeW3jUL49bjdJnAi1TXbwv9MCkuSNJfk+IGHDmLz0t5XTtGeC5lO7OtWjmWpcrrl3Bqh6IxARmXGXgyykUCwpWOs3AVtuKxPWPKXiejkM/XXQrflxfuv8k+kYyql82Q5ImYk7camLkCfgtn4adeWmD74XzZuHiNRxtHUNaGzxFgpI4q5L3P+hlMa9Qkv+TEvrfXMbXgyBA+isIPQgvT0N6JOhbQpl64NwcKrQHz67g6FvSu1BZBG8ewAt/KMj43LPXGCwAe/fuZeHChdiVceKhvA7lHCwJXN2Hped2senSHtCqwEzvfBAUCPo92bZ1p3qsp6U29c0LEOoPxrpPS2bFrWRMRiqGykLEleaUNE0CUg89J3HtI4x9y1JudoN39Ec/ieXXbmuQGekx68wEjC3f9bxo0KDh22bA0p6Y2ZqwZfxesrLycNvenoSTDREp0lCFb/rLMTKJHutd5uCk48Di1xu5pHhCmyWBmJiZ08Oz1GDJzYIFI+YxpkUoPSsbcOxZHhPP53B2dV96tvDizNU4CiJqf6qlavhPIqggJ7EkzOP5cXi0hYL7O4i84EfsjYOkhV1G+AIeRL5YirPhSjt4fQac+oLPAfU9XRAEpqy5yIp9d2hVXQdng2sorZ15bi8ie1tpl3WplhbJTtp4W5ald6O21KxZWmQncONlFEUKOoxr+SfVEn1tKp7sgllbF1J2hxK/8PZfTrGeUTV+dZxEoVDE6Kg5TIr5lZ+jFzIxZjEiEax0mk41Ay+KUvKInXUDHXsdHH7QBeNy/+HN+jjqNa6C5VRDClSF/BS9gEKK+O23Zer30zJz+XnMCKo3mIK48A0NTIoJSX6Eq3t5Dh8+TH7+e0KXtPRKku9zE6Eg/ROs5gtGnlniSYm+BAo5WFeGit1LjBQrLzB1Kulfo2cG5uXBqTF49QKbqiWFC54fg9Swz7qEb95gOXnyJJMmTcLaxp7nNMLExJRza/qy954/iwI2gdSJxa2+ozj5AvYuXRk/aZ56rK5URF/nIvK9u1J15I9MiFtMWRX0TIsCY09w6gNAfkQ6LwefRctaH/d97RBJS7f9bUI6c75bTnGRguknxuFQwfZPc9SgQcO3jYGJPsM39CcvM58NI3ZgWNsOaa1hFKYbITz8teQU+C8wlRrj57oAay1zpscu56lBBq0XnaK6oRSvPzh5H10WmDG1A2u6QVsPGbse5jLhbCZ75nVi8aimPI/6xm/2XxvKopLwjuCdFIed4NKpg/z863ZqDl6FS4dpNOw3m7rdf8K7WV+q1qjN0B+6cvTwQQoLNY321CjlcLULpFyDCqOg7hZ1CJUgCMxYf5klu25Rt5IDwxo+RFApOFPBkszHVmQ+LO27Iq1uj45Ml8EeLWnVqjQvtbiwmMANl7Asa06djtX/cgpiHSnu+9ujX9mK2BnXeXv8r0OgWps2wt9jE75GtTmTEcS5zOs0M67PCfdN+BrXASBmylWUWYU4j9dHYmIKusb/qZ36t2jSpRN6D7RxvqjNS3kMC+LX0/37gVQtU3pwezjgCi/CRRgal6G1SQxaqgysfCqRk5PD8ePH36/Ayqvk6zfoZREEgeSkRK6f2ErglrmcDDzP7TglCSY+CPa1Sso+vw+xBOxrQoV2oCWDuBuQFPxpJv8XfNN9WIKCgujXrx+GRsYkGrelUGTA5Q39CE65y9Dt80Fqz/A2S6mb1JWsjChuhjfjwP6T6vF93KCybxtqj5rGHPFG0hWZnMszwCrmKDQ6Dg7foSwoJrj2bvJD3+J9sQcmjUtPNfJzCpjiM5/oJ3H8vHc4vr3rfZL90KBBw9fJrz3WcuPQXaYcHk3ddtV4PXQAZZofRG41B93mU/923KuCWL5/OYFiQcFW10UYPAjl4IKuLL4N2X/I2x+91pOFQ4LpsCOVy5EF9K1mwLZuVly4HUmbBp8/hORL4YvtwyIIJWEer++Sk5XOrgthbDt5i8TktwA4Obtg6+CEloEFgrIYZX4miTFhRCckIghgYWbKgIGDGDpsGDKZ7DMv5jOiUsCNXhDvD+VHQI0V8Iec0jl+Qcz2u0ptL3v2zahIwM56JNhYc7NeEx6OLKb49u9FKsQi6FSRTjV82f/TMnR0ShPKL+++wYofNjFgaU86T/juvdORx2YRXGsXytxiKt/sg0EV67+UEwSBy1m3ESGisXFpBbCUfWG86HMSkyZ2eP2aj8imCjh8OV7TYXV68OaxGMvgMtyVP2VWmdFYHLtP+1Gzyf29NYuxTEzAwVk8ujuLK9kOXCt0x+xSNC5Ozpw7d+7vc34FAcJPgDwDvPuAVOev5f4hvH79mgsXLnDz5k3u3r3D27d/XdbZ0dGRli1b0rdvX1xcXD58YYUcIk5DQRrY1wabyv/hmX+YT26wyOVyevbsSVhYGDKZDBsbGzZu3IijoyMPHjxg9OjRyOVy5HI5AwYMYNKkSQDk5+czaNAg7t+/j1gsZvHixXTu3Plf0vlXN5eHDx/SvXt3pFIt8uw7k5ynx6mVvUgnkt7rp4PEkvY+y5nrdY0rp0ag0O3OxBmH1OM9TGFAhyY4dxnJQdcgwgpestKqP82uDQKzqtDiGohERAwOJHlrCOXm+VB2RqlBolQomdvuNx6dDaHv/K70mN7hP7C7GjRo+CeTkZzFSM8pSKRiVocsRDsxE+07lVEqZGgNjEIi0/3bscF5zxn8ciq6Yh12lV9Gjv9Bdh2ayGp/UPyeU6mtC0tP9mFIo1302JPMyef5tK4g4/D31uhrf/MOeTVfpMEiz4TYaxRlxHHwymOW7btFaloWRqbmaLk2J8a4Brn6clBFQVFkSYhMThaIdBCji35RMXpvkxC9zcbKyILJEybTu1+vb6/4iyDA3eHwahuU6wH1d5bkQfzOst23mLjqAtU9bLmw7nvOHW5JYsx1/Jv6YJ48k4AB7VEUyAEQOZth2b4qz2cdxszE9A8qBMZVn8mbiCS2x6/CwFT/g9PKvpVASOMDaJnrUelqL/TczP6l5eSHp/G4xk4khtpUO1MFbVVYSRiQgc2HB38idq+Zw6ExkbRd4c7x5pEkFaWyymIcB1o3Z+MfHCNNK+kzZLAT8cnPWfK6PDUMqxN85BL79u3D19f37xWkRUBMEDjUBWvv//Zy/usIgsCb1CxeJT1FrkgiPiGCp3cjeHznBRFhsRShBJkWZVysKWdnio2DI3ZlPLHWN0NcoOBVZCSXLl3izZsST2CzZs2YMGEClSpVer/i4gKIOFVi/H2GvfwsBsvly5dp3bo1IpGItWvXEhAQwPnz56latSpz5syhffv2pKen4+7uTlBQEJ6ensydO5eoqCh27NhBdHQ0devW5fnz55iamn5Q5/+9ubx8+ZKOHTsil8uRunUn4q0ue+Z1wtgmkw4rfkYlMqJ21SWcH+zC/rXlyc0T8etmOanJJY3adCUwoWMt7Jr153nzVC5n32aYTW9GvX4EL9aBbwDYtyLlQBgvep3EpIUjXoHdEYlLPvgFQWD98B2c3XSZ5gMbMnrL4G/vpqBBg4aP4vrBOyzpuY6qLbyZHTiBnI3DMDbeQXLUDKxn/vLesdey7jE6ag6WWubsdlvOszVj2Xl9P3sDSmVMrWHHpd9o4z6OIUdT2fEgh7rldLg10uG/vLKvhy/FYBEEgaSEu0QF7yY55iopmfEUFGarnQEFCl3Si00IiSgiOKyAtKRilAoBlAIo/k/lKbEIzGVgZYC2iSGyXCWVxG74XzyIidkHQkf+SQTPhNBfwbZ5SaSERFv91vrD9xn56xm8XKwI2tSPlDh/zh3uTbijAz7t1jG87xNyLvzhf7ClG1tnL2VgnXcPJEOvv2BKw/l8N7IZw9b2+5enlnoknPCeAWjb6FMpqDd6ru9//lHmFZVEeDxPw/tyT0ws75WUq63U9x0j7HOTlh7FIIdpWJaXMvn2AvpE/IRUJGXwgSQ277jJ7cTSv9XlA8wxKJvGo1wTzhTVAf8wqlSujL+//98/R6kUELK3xLtSscc73rKvgbyCIm6HJHAl/AqvJCdRWsYjMi0mNU9GepY2BUWQ9zST3Pvp5N5KQZXzu1tKSwy2RlDRuuR/G9DXNaGmS3VGNmmNTbEOO7ZvJzAwEEEQ6NSpE/Pnz3//c3Vx/u9GSya4fQdGn66x+Sf/i9XV1aVNmzbqP6z/Ye+sw6ss/z/+On3W3d0MNrYxGKNhpIQgDdKpIqAIGKSIKCElAoJISXc3jGY0o7axZt0dJ39/HL4MBBUVUH/sdV3nWpznzp09z/2+70+EhoYSHx//+P2CggIASktLkUqlmJvrdhG2bNnCqFGjAHBzc6Np06bs2bPnT7efkZFB3759KSoqwty/FzE5cuaObY2Dq4KuiyaiEejj5fMVh0cGEnnhW0pLstl53PSxWAHoGuqBfp3O5LfWcLLoIm+ZNmOUSSuIXQXmwWDflorEQmJHHkFiY4DP+o6PxQrArnkHOfzjSQJb1eKD5YOrxUo11VTzwjTpFUrrIU25cfQ2u787hPGAGWhUYvQ0ayg8nfy7ZZuahPCVyzgylNm8Fz+ZemOW0TaoBmENqq7Jz4T33/6Em5nH+bmHFRObm3Ixqdq34d+EorKY6xcWsGahF1tWNODK5aU8zIoiOaOS6EQ5V1JrcCG/AdvDJXy/JIOj+/LIiitHXaqCSvWzYgVAo4XsUribieJ8LAVpWZyTRlGjaUOWLfvzz9r/JFGLdWLFIgSabHlKrKzdf5NRsw/i5WzOsR/6Y6Sn4fDBUVRIJVg0HoblAS+Kb22sqstMj5A2DZ8RKwB7Fh4GoNOYNn+qe1bda+DzS0cU6aVEtthEeXzBb16rqVQRM+ggZXdzcJ3ZBNNQM92pmonzv0qsAFiYu+PRtoyMWwLE8VrmuH5GkbqEzZ1t6OIrwEKv6gRq0i+5+MtNCDUuwLwyCv9OTbh69Srnz5//7QaEYrDyhcoiyIl6DSP6+yRnFLJgw0UafvYdDdf3YqpmKLv9thFRkc6ZAyUcn53Plc9juT/6Gg/ePUfazNsUHUmtEisASg0kF8ChaAzOZuFZbkhtWQHah5v4fu0ApmwZilMjE7ZuXUbLlmHs2rWLsLAwLly48Nsdk+iDR1sQSnRhkZXP9598FfyzQbiBxYsX06lTJwBWr15N586dmTx5MtnZ2axYsQJbW92xZXJyMi4uVf4frq6uJCf//sP51xQVFdGvXz9SU1Op0aQfp+JkfNizHk0bGtN81kiUGhHWLlM5+UEIgopkblxYQMRtOy5cqnJ0C3A1x6tlXww62rKiaBsBBr7MdBmH4NY0nZOe3+do1Vqi+u5FXaTAd2tnpNZV/2zntkWweuJmnGs58Nn2MYgl//ifoJpqqvmPMWJxf+5fiGXdF9vwa1YDd7veGIt/4f60JRjs+wqx0W/bab9t3pJ8VSFzU1cyKvFLFo07Sq7CnZwcFZGPUkekxWvp07EjJ0/fY3Z7D9zMqu9T/wY0ahW3Li/l0slpVFYUoC83pbZbGCeuCli75y4qiTF5oeNRxu2Ga4d1C5a/SnYpmuxSMl1M+HjjBNbsPMuCeWNpGOD08gb0byJhA1wbD8Y1oMWex6GLAbYdv8uQGXtxsTPhxNIB2FoasnpPbwSl+WTUD2OGwYf0WboGsqoWw2I/O1YNfvbEMyMhi4jd16jbIRAH7z8fZMe6d01Qa4nuv5+b9dbivrAl1v1qPbXxqcgs5X7XXRRdSMWimzeOn4ZCziPbqn9JdLBf07hfbWJ2J7H/p818uOAzxjsMY27qSo6/X5ehVhXM3RKJFi0VShi9oojwyWIMpKlMy8pDKBaxcOFCGjdu/NsN2AbqTMNSI8DURbfwfpmoSqEsFRSFoHz0UhRVfa8s1uXz0WqBR69ffV9SXkl8Sh6JmbkUy/Kxta9gSHMheeUQvqKA6IOF5GUpf78fv0FpUiqxSangAq0bg5fro4Om+GiuxM8n2NOIRrVrsvdwEv3e7ck3335Hr169nl+Z3ARcmugES2I4eLZ7LadW/6jT/axZs9i3bx8nTpxAX1+fd999l86dO9OzZ0/i4+Np3rw5x44dw8fHByMjI+Lj47GysgJgwoQJGBkZMXXqszeE+fPnM3/+/Mc/l5SUkJmZSb9+/Th//jx1mvfgQIw5XZrX4MsxdWj69XAKyyswtJ3CpXGtqWUr5eCW3hw+uIWlGwSo1bopMjeSMey90di38mC11X5spJZs9F6IhRbY5QEGTtDhOknTz5M84wIO4+rh/l3Y437cvxDDpLBvMTTTZ17EdKydLX/d9WqqqaaaFyLhVhKf1P8SCwczFp3pj354CDlXfMmvmIPX8mfDpP6aBak/syprG02M6zI0w4xT+z/hx58hLqvqmlqNTTl7JAEz/TfIJOgF+CdMwrLSb3J0x0ByMiMxMnGivnd7bA086P3VPu7FxFJpHUieUyjCC/PQ5BU/U97ZXEK7mlK8XCQY6SlwMavE3Vq3yMgp1nItUUv4fS0Hbmqp/NWayEgPpg7Sp4alBYZ2tQmtWwe5iSPoWYPcBuSPvj6xyP9PkbgZLgwBPVtoc1r3LH/EgXMxdPlkC1Zm+pxZORhPJ3POJe0nYtXblJiY8d4HUWS9fYLQqGWUpZzRFZKK+GDnLH7oMPGZplZ9spHd8w/x1bFPCWzl95e7nLvnAQ9GHEaZVYZpG1ccx+nCJauKFCSMP0VlchEO40Nw+7YZApFQZ8ZTkgkBA0D078vzlld6j/e9JyFUG/FL6hqEQgFzU1eyLnsXbvdz0Cw15uD5k4+vn9BZxpweGvZnSFkS+xaRe86za9cu6tf/nWAC+QkQfwzMPMC95V/rqFYDRVGQew3yb0F+JBTFQHnaH5f9k5QrtCw6rGHOAQ35z6bbegYrI2jpL6BTiACFBo7f1rDjPFQonr3Wws4R/Rqh2NeoxE5yFVdZIc6yMgRApULErSg5teuPYeJnMxEKf+NELjFcJwIdQ8HmD/xfXgL/mGCZN28emzdv5vjx45iampKTk4Ozs/NTMbV79OhB+/btGTx4MLVq1WLNmjWPY5j37NmT9u3bM2jQoD9sy9HRkV69erFp0ybqNe3A3gcOhNZ24qcZLQn7dgRZRfmILT7l+OgONPPQIy35IqsXNWTBGhm5eTpTCKEQBg8djGejmuwJvIQWLb94z8dTzwXuzIZbU6DBKgpTmxPZfBMGAdYEXuyHUKbbmUyPy2R86JdUllXy7ZnJeAa7vfxJraaaat4oDvxwjOUfrqNp71DGjzgGqYe4On4snhs+wKyl6++W1Wq1TE1eyK68o3Q0aYbvvrWkPYxmyY9a0p6IHObXxJYLh2Mw0jd6tYP5D/E6BYtWo+Ha+XlcODEZtFrqho6lnk1N0jNyaTNxE0V5GRS5tacyOxLVgyvPlO8YJOCzTkIaeQtRCMwQGdkj0rcBmQVlKi3pqdcoyIsFBBjpO5Edlcme6xWsjBBSUFqV4VoggK97Cvmso/C3zZhF+rpFv4ELGHmCsRcYeYGxJxh66sKk/tuIXgZXPwI9e2h5CExqPH4r/Goi7cb8gpG+jNMrBlHT3Yr48oes/KkuNllZ1O+/FecDrqydspVJpVW5Q0wbeZF45gYmwqed6UsKShni/BFWzhYsuf3N3zYHV+aVkzD+FJmrbz/1e4FUhNePbbEZ9MgpuqJAl7Xc1A08Wv+tNl8VWq2WKaNacmuZA9MOjKNu+yA0Wg2jz7/PaYNk/PPNudj+JEmVGboCAiHbPpXT3Xov6dcAACAASURBVE/JnRI9Bi81wNmzAdu3b//9iGFxR6AwGTzfApMXOC2syIKcy7pX7hXdS1nlIoDYEIx9dJ93A2eQmupeEmOQmIDURPe91AQEkkcnEQJyCsvZcOg2qw9cp8A2GbMWmcidy9AiwF6bj96VRPZOLaUkt+KZLhkbSnG3E2FlVI6DJThZCAh2FRBgB8ZSEQZyETKx7n83t1jL4qMaFh3RUPiclDX23g1Js2sDbvEYaa8TbCKki20R2rJEVCooUgbw2Zfh6Bs8Z9NKrdTlZ1GU6BJOvuJQ2f+IYJk/fz4bNmzg+PHjj5171Go1VlZW7Nq1i2bNmpGTk0NQUBA7d+6kXr16TJ8+ncTExMdO96Ghody/f/+xj8vvYW5ujlwuJ6BOKMezAnCxN2PXws50WjSKpJx0MPuILUPfoWeAIVqNhk0/NuDrBVe496Bqajr26UidOvW41DaODFUOSz1m0Mg4WJf/YI8XCGUom97kRtB6lLkVBF0fiL6PBQDFeSVMaPAl6bGZTNr9ESGd6ryaia2mmmreKLRaLbO6LuLS7mtM+7kedaXjST/VgIcn+hB8ewgiQ+nvlldp1XycMJNThZcYVO6N+NBiFHlWzPs5m+wnnpO1Gjpz53zSKx7Nf4fXJVgqKwo5smMg8VF7MLfypW2H77EpSSUyNpP2n65HXZpNnnkQmthjqBSqp8r62gsZ3tADbboNeXIH5A09UD/yybCwsMDFxQUXFxd8fHwoyLlD+MExpCdfQCY3w6TYjrQz9ziQZ0V4dPZT9dq8bUft1p4ILzrTr6EDvZtaI1Zm6xZ2FZlQngElCaAqeaocYiOwagDWjcG+LZgF/LO+FBo13JkJt7/WLTbDDoFhlbnUrZgMmg5fA0D4jwMJqmFHtjKPiUc6ExBxDgv/znT1XcmNumvpZ7iJpLzruoJiIUuvbeH92t2faXLrrL2sn7SNj9eNJKz/75gv/UmKLqRQcisboUSIQCzEsJ4tBrWsqi5IPqdL+vcviw72a45e+ITvG2cS2N6dr/bPAKCkIIu++94i3s8a29tGnB64ExW6xbjIzJ7jn2fR3F5AoVLClB0yWg5eRueuv2HKBLrF9d2tINaDmt2e8lNCXak7NcmJeCRQLus+y/9DpAfmdcCyPlgE6yLCGrr/qc/xjah0Fmy8xPbzt9APycCqdSYiswqkiKktzMUu6SabvpaTdPnZhK5+NUyp51dITS8tYiEI80BcKMDJzh+vpiOxCWiBqZMPAqFQ56JQ+hDybkDOJQpjj7B0VxTzD2nI+dUBrJmxEeIavch2NQDpWRCa8HnT9hjGfIu+NJdKlTG9h+7GxbPFswMqToeYfWBkr3PCf4WmYa9dsKSkpODk5IS7uztGRrodO5lMRkREBMePH+fTTz9FpVKhVCoZOXIkY8eOBXRO+EOGDOHatWsIhUJmzZpF9+7P3hCeh1gsJjAomESDDii0Eg7/0JNh6z/lflo8mLzHdz17Mq6pTj1GRW5i4ri+7DtRVd6/SW06t+zM/c45RGkTmOw4it5WHXVvxvwIV0ajDf6OqClO5GyPxmtlO2yH6WJUq1VqvuzwHTeO3mbE4v50Gv3nnOyqqaaaan6P4rwSxgRMoii3mA3rriGtSOLS8HFYD22A55I/3k2t0FQyInYS10vv8t61TFRJNzAoasjklRfIesKf8g1I2fXCvA7BUlqczq617cjJjMSndl9atfwKSfIZDlzLYuisjUgqMjAw0SP6fuJT5fRl0C7IG1lOU4pjK3BpbEffb7ugb6CPSqUiJSWFxMRECgsLATAyMqJt27b4+voSHbmBs0cmUlaSgYHEBtWVTG7lOfBTRAZqddVpi3FbW+wnBZB90AXHh4FsntmDGq5PmDhrtTrxUvQAih/oTGZyInS705pH9ilyG51wsW8Hdq10u9Kvi5wrcGU05F0Hs0AI268za3tEYloBDYesIrewnCPf96N5XVdK1KUMuz2agH2/YCA2YNh70dxvuo8rd6/zvnbp47IebwdyZ89l5DxtdlVRVskw14+R6cv48cHc1+e/qqqE2xtAZgK+Xf/VEbKySi4xqf3nZJxz5Kf4+di46kTXvs/fYpVPJrEBNmjmZXB/Y1XyQtugEJb3vEIrOzEGYigoF6FfaxhSh+ag7wj6DiC3e/p0L+MGxO8DKSATQsE9KLwPxTE6P5P/Yez9SJyEgGUImPrpnM3/AlfupvLlT6c5mXods2aZmIXkg1iNhdiUVnrWyJJ/Ytf3Si7tVekCYDyBsz10CgNvdzGSYinah2Xolxvg17AFNTsOQ9+v4+PxqdVqUlNTSUpK4uHDh2g0GmQyGRYWFjhZgCz7InNnz2f12TxKfxVLxce/IdFW/mB/DYT6NAuaRv3EyVjqXUQsgsAGH9G03RxEvzYpTDqjC2bg2hwsvP/S/LwIb0TiSLFYjM9bk7mfIWDr7K7MOzOXiLg7YDSA0W37sehtCwQCASplOVM/dmP2skw0j3wVzexMGT78fdLblHFdP5r+Vl341HGk7k2NCvbVAmURmYW7iBl2GsvuPtTY2vnxkeTPEzaxa95B2g5vzqgfh1RHBKummmpeOlGXYpnUYhbt2yQxtOdZUs71J2G5N/6n+mDa3PkPyxepShj4YALZWXfofuICtg4hiB96MHrBBjIemRG8AY+KF+ZVC5aC3Fh2rm1DUX4CDVvNol5gP4g7ypz9Wcxbt40Q8yRyC0uJiHl6xdHAXUKzsO5kX7Uk82Y+TfrUZ/wvHzzXBr2goIDo6GjCw8OpqKjAy8uLzp07IxapuRz+FTcuLkSjUSHKhJyH9iw4V0hxSZUhvUFDK5wXBKHM0yd/uyffduzD0M5Bv/+MU1dA9iVIO6x7Fd7T/V4gAquGOvFi3063MHwVz8rKPF3Y4tifdG3WGAP+k5/yvckpKKPx0J+JSc5lyzfd6dGqFhWaSj6Im4bs9C/4JKXSrvsGJGtsSFt4lZEWq7ifq4tWIZAIOZR0jrZ2DZ5pev+SY/w4eh0jvx9Axw9fo1lWZiSkXAKXZmDp8/ra/QtotVqWrGzE0ZEedBnfhqFz+wPw4NgGTszqx72pQzhhmEJav2sUxFQlROzYw5MONWMxMXKhriATLxv10xULRKBnpzPNqsiEyuckUzR0AxNfsKirEynmdUH2x2kz/ojUrCLGLzvIkeLTmDfNQu6ku6EGGtTkHbOmiDJWsW75PvauEqKufDpIhkwKnVqK6dUtDG1CLnkXryER61GnVXtqNQ5D4tUSLH1QKBTcu3eP27dvk5ycjEqlO20VCoWIRCKUyqed0mQiOUUnr3Pi4V4uxz5tcmZtYUGOR2s03nEgkOLoOomOeRsxVG7BwVqJo1sYHfvsQK73xAaDqlJ3aqXVQK2eINH72/P2PN4IwSLXN6Sy5gRmvNeM2+WH2Hb5GBh0pnODEezob4voUcjhY/um0KvfTPIfmScKRQKGfzkWTaCIC/Z3aWYcwmL3qYgEj5R64mY4PwCF3XiudLJEYiEn6NYQJGa65G3hG87zXb/l+Db04utTXyCRVkfaqaaaal4NF3ZeYcG7C1i3ZC8SY1ciBg5CamdEncjBiAx+3zQMIFuZx5AHn2Fz+Sh+cUmEvb2c9ItxDJ80l4cl1YLlSV6lYMlKu8Hude0oL8uh5ds/4ufZCtWDY4xcn82JkzsZXSeK1adKuftE8/pGMKKeDWb1+1F4VZ+YYwmEdK/DuE3vIRNLESFEwPMFQGlpKUePHiUyMhIDAwO6dOmCp6cnedlRhB8cS3LsUVBBaaIF8w6rKCgofFxWGmiB97J6aGVQdM2cZvnt+WlsL2Qv+qwrSYK0I5B2CDJOgfqROtZ3fCRe2oBNC539/99Bq4H49XDjc6jMAesmUG8xmNZ6ei7KFbR8fx0Rd1JZPL4do3vXR6lVMTb+Kx7EHaLD2Ss4e7Shuf0y7rbdxmW7JManL3tcvkGfWpzZeAsxT/vqqJQqRniOR1Gu4KfEBcj1X1O2da0G7mzRnRr499WF9/2Xcy9zGTNCDqMtNmdd6o/I9KSoFZVs7OWCUCojbv4E1l/dSnzvC2gqHgkTPTPGD6/Exqic8PhANPFprJg3HkczoDwVylIeRfAq0AkXPTudz1JxMcjsIOA90Lf+3X79WSoVKqbs2smWnEPo18lCJNeghx5dLFvRw/ItjBRpTF/YmY2L8yjJe/reKhBAozrWfDVrEnZCEy4t/oTKolzcgxvRoEMnDKycwL01hSopFy9e5Pr16yiVSkQiEc7Ozri4uODq6oqDgwNisRi1Wk1mdiZJ2alkZWWREBdPfmouiZuySaw4x7Wc25SWV/VBIhIi8mlORWAxiCRYOH1Fx7xdCHJWEVCjHDNLHzr324+phWdVp/PjIf74I9Ow9q/E3PONECwCqTFhQ5cQ2qKYWftWgTyUev6fEf6eI/qPsjeXFGfQoJ4jd6KrlHmH8b1x9nfgjP9dfPTcWec1FwPRo1B4Wi0cboi28D6Ri2dSFFFG7fA+mDTROXE9uBrPZ01mYmRhyIKrMzCzrY6yU0011bxadi84hPDGeN5u+4D03MXEji3EfmwwHgtbvVD5HGUew++Po+6+zRhqRAwd+4DEC6cYNHAAVzPVf1zBG8KrEix52VFsXdkIpbKUt3pswtPWn5L7J+iyPAeTnE2MqhPDgGVKUp8wb7eygg9a+WH40Rge/pxJ/I/RWLW3J2hXY4RS3cJZhBBrTLDDDDvMsMUMOU+L2Dt37rB//34qKyupX78+rVq1QiQSEXdvF0e3DUahLqIwU8binfrk5VZ1QOBjQZsVXUgxSkVTKUTvui87e3yBi9WLZWJ/jLoCss5C6mGdgCmOfdSASGeSY1pT5y9g5P7oq4dux/x5aJSgyIfCKEg9ACn7dPXJbaDOt+Da95kTHJVKQ5fxmzlw7gGfDWrENx+2Qq1V82niHE5mneDdU9eQKRT0fvcycU3DKc8rob/xYlKydNGhRDIBZ1Iu09Cy7jPdObn+HAsG/Ei/md3pNenZvCyvjIIknZO5bRA41Ht97f4NlOoSZnzemJtz/RmzahithzQD4NraGVxbPY2W07eyMaCQFbMXkTL7zuNyMht3pg9JQCMQs363BQ52tdi/fz9yufy3GytIhLijOnM5jzag9/dPVErUpcy5so3tuYcQ2ut2vx3Vzgx368pbps3QE0pZsXkQX362nvTnZOZwMjRjzNAv+HjuGC4t/YS7u5YgNzKlcdfeuNeuA9a1yJa6ceHSZSIjI9FoNNjY2FC3bl1q1aqFSE9CHsXkPnrlUUweJZTzbKiwyvQyroSdJOtBBnE1TpF09+m8PgZOvpQ2koPUDAPbrwhLWoE2dxdhocXo6ZvTdeAxrO2Dqgr8z1fKprYucthL5o0QLEK5CfN3rOTjzd+CxBMXz5lcHuOOtWHVbsOIAcGsXH/98c81W9emVc+3OBN8F1OxMZt8FmIrfcKJLScCjjShOK8DN8eE4jS5Aa5fNQUgP7OQcXWnUphdzOxzk/Gq6/7axlpNNdW8uWi1WrZMnEvvwMlEpQVRsetDii+lUfvMu5g0frFM9TnKfCaG96b2maOI3UMYNegS2dHXsK7x7ELsTeVVCJbS4gy2rGhAcdFD3n53L25mbqRFhtP+h2xGu6wkyCKDtnNUTznMujvCeyPaoD9pNA+m3SFu5l0cmjvS92BfhHoiVKhRoaGUCjIpRInOVERQocExywi3bFNssvTRZutMyypESi7ciiCtMAtTJ0u6vt8bMwtzKiuK2Dm/GZllN8nJh+9/kVNU9IQpSW1bpv4wmcOC85Tq56PO0eMTmxEMq93ur09IcSykHYP0ozoh82Rkpv8hMdb5nsisQFMBlfk6cx/Vr7yK9ezBtRf4ff5cXxmtVsuwr/by896bDOgQwJrpndGgYWryQvbkHqPPjRQMEu/SsvMKRN9YkrszhlV1Ilh7fdfjOjoMtmffzynPnGRpNBo+9P+CnIe5/Jy8EENTg183/2rQaiF6L5Rm6U5XpK+p3ZdA+J3RLAzJxsHbliU3FiAQCCjPz2JDTyesfOrRbMkRlqRsYUHPSeRdzHhczjbAmwkdYyjSGLNmgx593x3CrFmzfr+xzNs6kzmhWOeDYfbnI7hqtVqultxmfcp+ThVfRCtRoakU4l0SwPR6Awg0qUFpcQanji/iy5nfcfX6s7lUnCyccMytwcDR/Xh3chgnpvcg894l7Lxq0vLdwehbu5Jj5E94xG3u3r0LGnBxdcEzuAZCczkFqmIK1CUUGSlRm4tArPscShBjjiFG6KGHFCECNGipQEG+opiU1EwutThB+cMSMrtf49q2KJ5UBQZWtpQ2twJ9ZySWU2lweyaagnN0a1OMTG5IlwGHsXN6FEpao9aFzy7NBLeWYO7xp+fy93gjBIuJuSVlb7ujxhRjh2+JGOuHj3XV7tL+HT/Sued7j/1WTGwNGbzwEy563UYtUrPGay619L2ervT8QEjcxLUvPkRoWZuAS/0RSkQoFSomhX3D/fMxLz0SSDXVVFPNH6FWa0he5IeTRRw7b36Hw/JKZE5GBN0cjEj/xRxGc5UFfLcmGOvkeCpbj2B8k6VVprDVvHTBoqgsZvvPzclKu07rLquo5ViX2xFn6bc6nZWhy6gsKeSt7zRPmW0EesHgz95F0PEdWF/C0fHH8azrxtcnP0ff6GkbckV6CQXnHpJ1NoGisw9RRRYgeIGckhox6PmYYxxgi9zXlIjED8k0iCRdAd+vE1BaVtUfQStPtn7zA6fLojghPYJQpsGzrCY/1J2Ig8zm702QVguV2VAcDyVxushNxfG63BcVWVCRo4v6JDUDqbnO90BqrnO4tmuji+b0Oz4xU5adZOaqs7Rr6Mne+b0RimBy0gL25Z+gY6YE2/P78KzZjeDyKcQOPUyqn4JhCbMpLdX59BhZCjh+eyshts8GArq05xpfd1lIt4kdGDS799+bhz/D/3xXrGqC839rHVJQEcXU/gNI2O7Dt2cmU6uJzvcmfPYQYg6tpsvyyzysYc7JHYeYNnQi5YW66CACsZg6Hezo5/+Q3HITtuyWsXDxatq3b//7DRan6cyZVBW6BJP2dV/IpOlhZToH88PZlXOMFGU6AGVxhnjlB/J9p6E4GEDsvR3cubGFjVvOcvw8KH6lVdzd3Wkf2IWEnZmEvh3MoM+9OTVrAOVFedQMbkVNr64U5tsQHZlHaUo+8gIhenkgzlYjUP728l1gKkViqYeBtwWGgTYYBFljGGiD3MP0KT8ztUbNzj0H2DhoFxqlFvGUbI7MPkJpYdWJup6pKeVhDmDih8RkHLUjJiJR3KZ3h1LEYgld+h/EwbWJ7mJFqS7UsUYJNbqA3p88af0d3gjBIjbSQ/NObYRWszj2fkNaeFbdzHMy0/HxdiCvSDcNAiEM3/g5US7x5MmKWOQ2hTDTXznQlWeg3eVBcbwrkTMHE3R9EAY1LdFqtfww8meOrAyny7i3GPpd39c5zGqqqaYaABQPtiK93I8N2/2wtPgM/VUJzySy/SPSC2LZ8L0/StRkv/MR8/3mvMIe/7d4mYJFrVay95dOJMUeIbTFNEJrdOToiYtM35vA9rAVXH1QQY8fNCgUVY/qBr7Q8+MhaMzqUrPEm6VD1mLrYc2c81Mwtdb5e2gUanJ3x5D2ww2Kzjx8XFZirY9xI0fELoYUWqvItion10qBVggmhRIcC02wKNIn634KaRfjMMwRIntkKaISl5IQ/D0VrkUk6IlYsE6J+n/CRy5G1KkGh6etAIExo67NReKXiVAt4gOHvgy26Y5M+Me+VK+bpduuMGr2QerVtOfk8oHo6Ykei5XWWg889q9GT9+Cbu1Pc6/+bpQyDVM9d3Mm4tzjOj6YacSSLwqfCTig1WqZ0OBL4m8m81PCfMztXpNpeFkuRO0CqZEuMti/MFHkH7HpSFs2dbCkRkMPZp/+EoFAQG7sLXYMC8Sz1bs0m7yObdrz3Bm9n69/qLo3iQykNOhsTDf3HErKxRw578j6TadwdXX9/QYVJRB3DMqywchBl1hS/Kw5WY4yj8P5ZzmUH86tsigAtCVScs9ZYJbozcJ+YdhKrxBzZyupSWdJStGycR9k5Txdj76+PtOnTcdb6cNPk7fh4mDO20EZJBZtQ6iVYhfdHeMs/2faV1mKUDpLEdjLkVkbIJfroS+WoyeRIRSJUBVVosotR5lTjjK7jPKYfLSKKvEhdzPBoqs3NgP8MKhd5bdzes955vf4EaFUSI01xqwYv4K8pKqgHlIjAxQtnMGyERJ5f1xPvo+tWSE92uYjEonoPuR0lXlYSQZE7wOZsS509EvynXojBIvAQAqDFrG8f19GhlY572nUajqGOnLoatWRYoepb6NsbUKqQTYTHUYwwPqdZyu8/TVEfsm9Rb0x6Tsah490tqH7vj/KijHrCWrjz7QDnyASV+9IVlNNNf8AGhXq7W7kZZbw0YxejHCsg/BWPgHn+2HcwOGFq7l/ezNHtvYh2caK+R9mvcIO/7d4WYJFq9VybNcQ7t1YQ606Q2gVPJSfdl7m4K27rG+yjmXHVXy6WfOUiUaYn4C3ug1CredDI99mzO+5AgMTPeZenIatuzWKzFLSl14nfcUtlBmlCKQiLLt6Y9raFZMmjsg9zZ5ZWBdQyh2SuE8KClTIkFATJ4zitezdtBOJQsjbga0xSoaUo6eILP4CgUDOySJDNt2sen5iLEPS1JXw+RvwtKhBp0WLyat/GZldBY4SW75wep+mJiF/e95eFjtP3qf7p1vxcDTnws9DMDeVMylpPvvzT9JCHkjdY7spyInhnb5HyemTTOnNLI50SefbfUseh3n2DIQdB5ZS2/79Z+qPPHWPSWHf0G5kGKOWD349g9Ko4P4uXbLIGl3AwOqPy/wLSSrYw7wh35C4y4tpBz6hbvtAAPZ91IKM2+fosykBhbUp29RnOV7ne7ZHHnpcVmgops4HjvSUJIEarke5MmfxaZyc/iBRpEYFDy/oQvRK9HWnLZY1SFHmcLboCicKL3K5+BYaNMgFMiTxDtzZJ8EgRcb4jkqc9a+S9vAcaLWUlss4c92co+Hp8KtVdmePMD6QtyczppDtygSMkNDK/R4Kpwik5VbYlw9H6e5IpYcUhasEhYMEY0cz3H09sTOywhwjRLyYU7tGqab8fi4lN7MovpxO3t4HVD7UmUwahdjhNKUh5h08EAgEHFp3nGWD1yIxEtN9Rx0mfPIZqbeqsk2K9WSoWriCfRdkyrpYnhhHsL8RLUPikMtN6Dn8fJUjfsZNSL0MdsFgH/xCff0j3hDBYsh76+NZ1rVKTWq1Wn4e15Xhi3Y/fhj4NLbD95tOPDBIppdlByY7jno2RKNGiWazG8qcCqL3LMT/2LsIhAKuH73Nl2/Nxc7ThnkR01+fnWo11VRTzfO4ORnuzmHyN80oE9en831jDNzMCLoxCJHei++4HtkxkPs31/HRV//vHxUvzMsSLBdPTCMifAauXu3o0Gg8U36+QWXpZWYH7eK9nzWsPvO03Vb7IDFhrQZTYeJC69C2zO++Eo1Kw6zwL3D1sCNl7mVSF15FU6ZE5mKM3XtB2AytjdRK/4X6o0BFNKlEkkgBpYgQ4lRsyp1151Hml9O9e3dq1KhB9IG1nJ47CGOhOwuvaYgoSqyqRACS2jac37Eff8dABs/cxTHNcWzfTgWpmhYmoUxwGI6zzP5vz9/f4eSVBNqP3YCpkZwLq4bi7GDMpKR5HMgPp4VxCK0u3SQhai9N2s7FYLkP2Rvu8bANfB61lORknbe0QADTfjZgysAChIJnd5Gntp3DreN3WB4zFzuPv2kW9yJotZB8Vrfgtq8HdkF/XOZfilarZfPpRmxu54KDlwPf35yDSCQk+eIBDn/eEf+e42jwwXfEkcEhxVU2ei3kYnJVAj2hngi3QY70t0nHRKUgWWlJv+F7CXIP/d3Q2wqNgoeZF7iXeYbrmnSuCvJIQOc/JRaIaWBQB9UtG479fA93gxiaeadgIowCtIgleqhEDdh/Ip+T4TefiazoIXDgE+3b+OFCvmkF64rjEQihZdNbCFW3EPjXQfH1p2BsiDKlBEmakmCrmtRzDUD0kqJuabVaii+lkbEqkuwN99BUqDBu5IDrrGaYNHVi+8K9rP14G3o2Msbs6sDQCf2JOV8VzlwoEaNp5gruYzDMrMDo8gK6tPfAx/4Cxqau9Bx+HgMjW12Euns7oLJQJ5z1LX+7Uy/IGyFYJCa2FOekIZdU/cGv/DyV3p9+RfyjYzqRGDrtHsED+2QaGQXzg8eXiJ9js626swHxrcEk7WmLzbwNyJ2NSYlOZ3z96SCA7yKm4+Bt95pGVk011VTzGxQ9gH21iMtvwEejnWnZJJDgsyocJ9bHbXbzF66msqKITcuCGfTxg1fX1/8YL0Ow3L66khN7RmBtH0ynxlMZtuQ+HsZX+cx7Nx2+03Au+gmxIoT+jQyo02IkxWJT3mrRgR/6riM/vYDJO8Zic6+SlNmXUBVUol/TApcZTbDo4oVA9NcWOVq0JJLFVWLJohChVoDiVi7F4Sl0aNaWoKAgLiz5mDvbF+IU0JSPtyQRnZn0VB0ye32OHdxP49rNmbHyNDO3HcWtfxpS/0zEAjH9rbowwrY3RqLXv7l3MfIhrUetRywScmr5QPy8LZmUPJ+D+eGEmTSgd6Kay6dm4FO7L/6pH5Hw8UkUIYbMMdnL0WNHH9cT1hPmz55FgOvnz7QRey2Bj+tOpWmfBkzY+MGrH5RWo0vglxvzSkPLvk7Si8OZO/pjHqz1e+wTrNVq2T6kNsXpCfTdmozc2JyTZTeIUj9kauh6cu9tf6oOuYchnbpLaSjJo1wmJdnJGbVXPQxsfREKRICAMk0ZBapi8lQFpCuy0VD1v2eHAfW1FoSUmxF7VcH125dwM7mPhb7OTlIs0cfJvS2JmS6sXnmMW9F3nxmHj8SuLgAAIABJREFUUCBmlHsbxnVohYmPlDxzMVPGXKO0oIKQxlew0kSh7t4Z1dt9KLuXjzxNTfPgxvj7+z83h9LLojKtmOSvLpD5UyRalQbzTp54LGnNxh/3sWvWYUx9DBm/oxfDx3fmyuEngl4IBdDIDfy+wfTOCfRi9zF6RD301HuxtA2gx9DTyOQmUJYDUbtfmmniGyFYbOwdyUyrerhEH1rDt+MHs+Ze1TUhH4ZSOsQUL7kr673nYfgbN9GyxYHIjaPJERzBemBTinKLmdhwBulxWUw/NJ6g1s/aHFZTTTXV/CMcDUObe4XpKz/k+qkU+nsFYRenIvBiP4xCXnyHOz8nBjPLV5fB+L/G3xUsCdEH2LuxM0YmzrSuP51ei1No6naXD+y20nq2mpj0J5zZpULGtjTHvfH75ClFtG/dgXXv7STx9kOGj+mM7Z5sKpOKkLma4PJlY6zfrfmXhcqv0aIlmWyuEEsmBWjVWipvZhMs8KRp7foc+KQ16bdO06T3EKYfLGXbvq1on7B/0TMUsmbTCnp2HMqGQ5EMmbEXwxpFBI/KJ02UgrnYhA/tBtDNou1rC+pwMzqDFu+tRaFUc+yH/nj46vFJ4jfcLL1HmEkDRha7cWz7AKxsA2nrs4n77fYicjJgc6v7LF2zHLVKZwpmYQNfrpcxsmUeYuGzJ1gzuywgYs91Ft+ciVuAy6sdlEalcxovTAYTZ3Bv9Z/IufIi7L3agTVhBhibWbIyZhESmYQHxzZw6ut+1B0ygzoDpqBBy9rsw9xKk7Bo+Ba48tPTlQjAuZk5AxuXYP4ovG+Jnpw0K3PSrcxR6hujJ9bHQGqMtdQaez177DUGWBUUUZRyl7gHFxCq06qqE5rj51wbE/0a7Nuey7JDR8kuL+RZBATVrsPqLzpSKyiYJCsLbpSUsbXZDsqTSggOuIi9WSLK9v3JE3ihp5HStGlTgoODEYlen0tBeWw+iZPPkLMlCpGhFOevm7DmzBkidtzAvqkF49cM5KNJbTi46WlHHEGIO9rgZVicn4c0+w5fT2pOYcYmnNzD6NL/ECKxtCr4g4W3Lnnp30gI+0YIlicfLmk3wtn+UWsmX1FT/CjiiomdHKdtzTA3NmeTzwLspc8/us3feQSz8k4UJjXC+POTVJYrmNzyW6Ivxb7+7LXVVFNNNX9E3Dq4NIwi91kMbxeDVCpmYIETZt5WBF0fhFD2/2NR87r5O4IlI+UK239ujlisR0jAJHr+UErH2on00VtDh+/U5D4RkVdsLGFqeyesQkaQWVRB29Zt2TvpJLfD79POy5faD0SIjKW4TG+M3ag6j/OuvGy0aEkhh4uqaLLFRWg1WszSxbSRe3N4eEOUpQW8M+ZTPlmqYOvBJZRSNQiZFGZ90YOPJm/k4u00uozfQl5xGSOnWXPP6Sw5qny85K58ZD+Ypsb1ftdc5+9yKyaDVh+sp6i0kgML+2Jcs4Txid+QpypgoHVXOuYZcXR7PwwMbenYdA/xbc+CVsvVYQrmbF1C6hN/809XQrvQj2jut+CZdiL2Xmdm5wU06l6Pz7aNeWXjQVECebE6E7DKokeLwqb/+ZOVJ8kri2TO5324u7gOvad24d0vu6FRqdjSzwtFWTF9tyQh0TOgXFXJqswDLNrpSfzZm9jumECa5ld+d5YGONcwoZFVId6uYGpQ+tw2f01WiQW5Chd8vENpGdyEG4eiWLd+N6cfRqL5tYMKIJKJMQzqyfqp/Qhs4UOMrJh4QSal+WVENDtOye1CAnwu4eSSTp5vd4R2vjRq1IiQkBCk0n8uMEX+kXgejDxCZVIR8hAb1pbcJ+leGq7tbZjw4whmfNuCVT+kPVVGEuiOsu5SrE9ORKYq4LsvQ0mN24pvQH/adFurC/IdexiKHv5tM8U3SrAUJEezZ1QD1t0r5mS86vH7HvNCMG1py2qvOfgb+Dy3DmV+BdkTOmPf4hTKoL0IvVszq+siLu+7QbdPOzLo216vazjVVFNNNS+GsgR2OoOxD8czZ7No8Eoa1a1Jo6tCnD4PxXVWs3+6h/9J/qpgKciNZcvKhigqi3F0HMegtXr0aZhJi9JlDFiuRlH1WEJmK2d+p1rI6gwiJTOXFs1bcGHJLc5vv0yw0JIwjQ02A/1x+7YZUlvDlzi630aLlviKNI4UXEZrK0Og1uJ1J4/EjwdjYmVDh/cmMmBwLOeSdpFFatVYpPBhb1OGj/oRsV0rOn68iajEHIZ096Pmu4VsyN2NQqskwMCXD237E2oU+NKFy9V7abT5cD2l5Up+mdORKNdzbM05iJ5Qzkznj3FPz+Xglh7oGVjxdsf9JL0VgSKthILJ9sw58SNnz559XFfrbtDzEwn962UiEz+dbLCsqJwPan5KRUklP9z7Fgv7v5+M8Cm0WihKgaw7ukUggEgGNv66BJGvUPD9U5yKGchPHXIpSTRn0fWvcfV34u7upZxfOIqGoxfh100nClOy0pgVf5tlOz0J1eZQc/5U1mqOo+ZXMbwtDdEz1MdapMXJXh+xoRlCmSFiuSFqtRKhQINSLSGtxB57uxrUshFSkXiPk8dPkJD78Dk91GFqI0JSvzd+rb5g0lAJKfoPKUGXr8isTI9zLY/y8FIKvm7XcfHNpjhoACFh7WnYsOHvJ7h8jahLFCROOUvaoqtU6gvZZJRMVkYBnu/YM3HZhyz/vhkzZyWgeUI56NfypDJoJlbhn2JqYsKMcbakJhwlpNlkGrb6CtQKXU6g8jxdrhuLv3Za/8YIltg7N9n9QSh3HiQw61pV1BXTBlY4LAlmgftkWps2+s06YobtxbXOQITGZoj6xvLDe6s5sjKcFv0b8fHaka90V6iaaqqp5i9zaSTErUb71lUmd99P5Kn7DPEKxjJeQeCl/hjVrfa5+7P8FcFSWpLJ1hUNKSpIRCUfxoR9rvRrVoTHgzlM3/n0gsrQy5AfuzRCU6sXcYnJNAhtwJ0fozm16zI+GNPLNxDvlW9h0ujFkoG+bCoVlWw4u5NiPwliG30km3fB8p9wCwrBq2E/Rve9xg3hdVIVtx+XkUpgRG8I8Q4gsMN0PvmpiGMRCdSpYcfyr1tySHiQnTlHUKHGV8+DgdZdaWvWFMlznNn/LBcjH9Ju9AYUGiVffOfGMb0D5KkKqGvoxzSnsVREhXNs9xDkeua80/MoD7tdp/RGJvpfB7AoaiPr169/XJeVtZAZOzX4mEynhd+0Z9pa/uFaDvxwnA+WD+atkS8eRvwP0Wp0/imZkboIYAh05l+WPmDsBML/v1FJy5VZ/Ly9KYf71cUt0I4FEd+iVSvY2MsFoVhCj9V3kRnpQkaHR5xjwl0pV6Ms6OxRSNfZO5mSsIJksp9bt8BIhlAiRqgBkRpEAjFikQS0GspLS1Aon80Q/2u86oBve39OqFfQoakhTdokIxCCAXJ8ccSt0op5reZz/1wiHo538ahfhkf/r2nasi2Ghq9ns+HPkn8sgeh++8nPKmST4UPyS8qo0ceZTxePZftPTfl4ajQVT+SUMfR2RekzCvOr87F39eSjd0vJybhOq84r8as7TJefJXqP7qtnW91n908imj59+vSXN8R/J/Pnz8e/8AKZ9y+zJtOG7PwSAIQSAQ4L6zCx5vt0t/ztjLz5xxMp2rAU2+bXEQROYPPybHbPP0xQG38mbhn1Wm0Nq6mmmmr+FDJLiFuDQKxHjW4fcGRlOBmGSmoV6VNyLhXbobURiP//mJC8DubPn8+4ceNe+HpFZTG717UlN+suSaXdmHE6kNYNhMjOfcmSY0+LFau6Zmzo2xm1X09iYuMI9A8gatZdwo/fwA1DPpjYg1pbOqPn9ppyejwHsUiMv7MvD4/cIzM6BWm7EEhJojAiAo2PFf6+vqSdFpBvbkhZuU7YqTVw/T7Y2mZSmL6F+rax1AmowebwYjbvj2GATxs+q9cbDRouldzgcMEZtuccJk9VgK3UCjOxyR/06vms3X+THpM3Y9gwg9qfpHJVFIFcKGWK4ygm2o/gwbnFhB8cg4GRPW+/s5+0vpGUXMvAZJw/m5XhrF2/DuWjbH8isZBxSzUYSqzp1mAPgl+ZXt2/EMOy99dSq4kPI7/v/3I2MrVayI/T+ajkxuiEi3UtcAsD65ogN/1/ZQL2PCQiA1zcgrj/8BfijughNRTg36w2MkMzYo9vpDgjAbdm3REIBLg4OCF/cJ5IlQGXUkwwmODMgprtKD6dSpw6DRXqpytXqNGWK9FUKFEplCgrK6msKKOyohy1Rv38DgG2TsaE9apkwBQpeTW/4HzpV7zbp5D6DXJwEVjRCF+aUQttfBlTm0wn8UY2TraxhPR2ptuc3dQOCv5Hzb/+CD0PM6z710JxIwfHaBUPJMWkRuYRnxXLiC9WUt96FwfP5lH5SLQocgvQV9yn3Ksnytiz3E23o1GggOjbG7F1DMHUuiYYO+pMGPMe6D63en/u9PGNECyzv55BsPIOMRYN2Hcx6vHvLYd6MLjXQD62H/ybNxZ1iYI7b23DudNe5DYFnE4cyopPduNRx5VpB8cj05O9rmFUU0011fx59B0hYRPk3cC40RcgEHB+5xVMGjtifrUYtGAa9oqdgv+f8WcEi0pZzp5fOpKefIFbWWEsj+6Efw016oPjORL5hIGDSIB7C0s29x9OgVMYd+/dw8/Sk7gpdzl9LxoXfROmnfwUp6GB/wqBKRQKqenrS96DDOL23sK4WXOIvUp+xCXUY8MgVoL0nphMR2sqixIA0Gjg2j0BPs7GyEUZSBWn6OifRHGFgIU7MkhKVDCtZU8GO3bBWGRIbEUip4susylnH8cLLpCjysdQpI+52AThHyzSMyvyGLZhJWvzt2HbLx6DgFzkEgnDbXrxjcsEaslcOb53BDcuLsTKLojObx8guVsEJdczsfg4gH2WN/hl40ayMjMf19lnuIDA1lpq2+7BydLjqfYqyxV82eE7yorKmXZwPKZWxn9/kkuzIe4oZN/VCRXbIJ1DvakLiN+stYeh1BmboBIu74zhxv54gtsF4N2sJXkJt0k4vR1DG2csvYIQCATU9PFBHH2Kq2VmRNw3Qd21goFT2zPWohvGmWKSc1Ip0pb9caNPYO/sSLdu3Rj8fhs6jk6k7eAcZB7BLLu6Gq1ZXSYMy6aTgz0tCcAfFzS5lezZvpdlfZaRl6TC2T6WIQv78da4eejpv1iY8X8akaEU6341kWmEWIYXEC0o0omWggd0H72YjvbbOXCxkBKd1RuKgiKkijgULm1QJFzlXq4b9bwLibm9GVevtzAwd9OdrOTH68S3QAhGL37C/0aYhJnJBczp5MGEoxkUFumcrCQOevQ4NII1teYiEf52qLW4scfJ+eUkIYvmUyBuyKB3HbF2tWLOhamY2fy1HZ9qqqmmmtdK5Ay4PRPCDqC0aKHLvn0jiX7uAdglqgmMGIBRsO0/3cv/DC9qEqZWKzmwqRvx0fu4+LA+W/NH4yiOgtNfk5L7xKNXLiaolTlrhkwlRm3D3bt3Cch1IHpFDOcq03G2sWT27RkYWhm9wlH9NbRaLceOHePixYtYyCqQnVqIRl9O2VffcLVzJIUJJZz0yKM89sDjMgIRvDfKksYPvMn1u4FaVo5Sa8DFpFpEFzbig369GdE1GJFIwNWSO+zNO054YQQFal1oVSORAYEGvrjJnNAXyZEL5JRoyshXFZKlzCWyMIZCQVXUployH7pYtaSzeWv0RXKyMyI5tLUPedn3cPVuT1i95cR0OUx5dB5200PZZ3yd1atXc/t2lUlbSKg1I77PIjcmlIl9Lz4zD6s+2cju+YcY8E1PenzW6e9NqloBqVd0QgUBWPvpnJWfk3n9TUKr1bJxV2+29hGhby7i+6sLMTQSsGNoAJXFeXRdcR1TZ50fcnl5OXNXbmFuWl3KkTNiYCp1fBX44IC3xp78c0mc3HGEi5cuUagoRiFSoxCpkRnJkRnoYWxijK+vL35+fgQFBWFoK+RCyidk5G5GqdFj682JXPg/9u47PIriDeD49y7t0kklDZJASIBQQu9VmjQFEUEUUKmiNEVEilR/goBIURGkSbHQizSlQ+ggvYWEkJDee+5y8/vj4ORIgARJgcznee6JmZvdfWeJO/fezsze6c2gLtmMqO+El8IZJUqSk5M5ePAgx/ceIWhVCGlJpvhWDGbM5m9wqdaomM/gs4vdeJ3D76xnbcZN1Eot/oO8+OizHqTseoVOU2K59W9ej6mNBaoKLbCMOo9blQq82/Q0Fpb2vDXoODZlyusWiAjao5vTUmdQvmMoHQmLmYLXu73Oit8268tqLmrJ/kGbn3ibOflYGP80XYPPR2dwbbCZ/y1syeUgH2YdnYRbJdm5S5L0grj/TBa8+0Dj5UQERTGy9kSMjYx4J7kczlXKUutM/0JbZeplk5+ERWi1bFz9FndvrudUeE225EzDNOh3ss+sJi3zoYplVLzWtgzzx6wi8HY8N89fo95RB44evsk54vH0ceV/JyZhbV8yx7o/cPLkSXbt2oV1YhCW537BxM2N6BFfcrxtIOocJXu9ksm+/IfBNr2GW/HexT4kp4WR0PQ8aRa6ifp3Et0ITm/Oa10+pGf7Bliam6IROZxNvcTR5DOcSbvMpfQbaIQmdyA5SjLCVKjDrWjuWpOZr/bB3Vy38qc6O51/Tiwk8O+JCKGl0SvT8U7txs0+f6JJysJzbit2mp9j8eLFnDt3Tr/Lsq72jF8Vj5nWmJoVg2lQ0XDu0OXD1xnXYga+DSoy88hEjJ51WekHw7/uBoImAyzLgmczMLd/tv29hDTaDL7/9i32fmqLSw0FC44tJuHWKbaPaoW9d3VeW3QMY5XuDkZKSgrTf/ydhTEN0RiZ8ekHsbj5xANQBksqUJYKuGCDOWD4QPp0sogkkQhtBPeil6GOWI1Sm87V6CYsPzGDck7lWPOWC1UddcdKS0vjyJEjnDp1irQLN7mxJZPsbBPqNYxl1OafsC5b8DkbJU3apRj2dljJqvCLCCX49S3HsE+aYnK0B51mpnM2+KHl2E2MsPaug2XKXbxrefFm7UDsnarSc+BRVOZlIEcNIfuhYrt8H79UJCz21uYkZ2STk6MbK2zbsixn/jxBRfPHD4PQZmo4W2s5mbcTqb/iB9IS4hg8tjvT903Et16FogpdkiTp+djVFJIuwxthYGzJ0Q2n+LrHfCp6utLtjj2eExrjNa15cUf5QnhawpKTo2XBnK6QsoML0f5sN5tP5t7xpF0/brC6jpGHNaPalOXzL7eyJ/A8kX/fpMY2c3ZF3+EaSVRr4sfEPz/Bwsa8CFr13924cYP169djGnwEm5s7sa9UhfC2Q/mr9ykULtbsKpuO+twKg20av2bEpBZ9UI2uTIZnOClv3ybMeD8KkUmOVklIkhcqh9bUrN2D5g0aUq6sDQqFgixtNvHqRK6GR3Lo0m227LnFxQtJ5GQY0aO1P9+MaIuXm26eT1ZmEhdO/sjZY3PISIuhjL0P7buvRr1Kw50vj2BcRoXv6s7sjA9kwYIFnDx5Uh+frZ0tn81Pp6yPmpuX5vH1gBEG8WekZjK85njiIxKZf376sz84OjMJQo9ASrhu1S+PBuDg91Ku+vVfabQZzPioD6d/sMS3A0zftIirv3/H6WWTqNS+Ly0/X6Ef5h8XF8fUxRtZnNgUjEzp10hF2+aJpJSJJJ2sxx8kJx3j2N0oIzZjlBNLbJoH6/8ZQ3x6F/73qhM9qluiUChISEjg2LFjnD9/HnVaCim7L3PznDVKhaDX6Er0/PpLlC/RPGd1Qia7O6xgxclA1AgqveHKiE+8sLsygreX5LDtxCMLiJT3wSo7lVqNnWhX9SJlPZrS473dmJha6BL0Avx9l4qExVylIjPr/h+mkYKfji1jYP3+T9wmZMIh7s4IxHWKOT4VP2XzzsqUe2c1dTrUKPyAJUmSnrfri+D0KGiyCrx6AbB4+Cq2L9hLM2dPGsXZUOtkX6xqy7vHT/OkhOV2aAyzZ/fG1/Zv7qRVZnX2bLL+HkHq9SAe7m0tq9uxsFsz3hy9nM1b/0SzPISyBxRsJ4w7IpVG3evy6ZqhmKpK7sTcvMTExPDHH3+QeewXrMKO41m7MVF2Hflj0jVMKjuww8OS7L/+x8PfZ3tUVfLV7LpUmtUD9QEtSg8j0ocnckV7AE3KCYwUujsp95KdCUmpQqrWm2ylN5fCVETFZwBgZWHKO69WZ3D3utSs5ExqSjj3Qo9x4+JvhNz8kxxNFta25ajT9DO8jDoRPOQgqWejsKzhRJWN3dh2Zi+TJk3i+vXr+rgsLC2YssgJ+2p3uLGzMZ+NPoS9xb8fPrVaLfP6/8T+X44y8Lt36Dq8fcFPmDYHIs/rXiJHt+SrR8NSP/zrabI16Yzt2p9bO81wbZTIuN9Hcn3ht4Qe30HTUT9Q9bUh+rrh4eFM/3kbWzLqEpFjh4kR9KxhRfua4OmbiDD+d7mr1JRgosI3kpO6ESNFMokZTuy6NpDI5P6MbFaWd2tbY6yEoKAgTp06xY0buoUQzILDuLg5juRka+wd1Hyy9iNqtGtaHKem0AmNloO9fuPHDXtIR0PFds58+qnANXIBn2wzZd4fhvODzN1csMnR0qq1igYVQzF3aM6Aj/bqHixZAKUiYXl4Qn3AO9U498vFJ9SG1PNRnKu7EqOqduS0+4lmtf7hhGYxDfq9V9ihSpIkFY7MaNjoCa7toNUWANRZaj5rOo1bp4PpoixHHX8fap3uJ4eGPUVeCYsQgp9+P8z+XWNo6HGSOK0fC25/hFHwTOJPGNb1amXPrx9OwK/Ne2xYtBbnn5LICM1kq0k4SeosXh36CoMX9H32oUXFLDs7m+3bt3F33UTMY65SsXkXouNqsPb7O1g1cuHP8h4krx+jGxZyn8pGwaBJZvTxGkPOMAc0UZmovG1xHOjHnZpBXL21jbSYAxiTrN8mRxihNSqLla03jmUs0GpSycyIJzkxhBzN/S8pFQo8vFpSJaAv3vadiZh7nnuLzoICPMY0oNzERqz+fS2fj/ucqMh/B+KbmJry3eqmmFXYR/pxC+xq36BPI3f9+0IIlo5ew9Z5u6nbKYCJW0ehVBbw3ys5DEKPQlYSqOygfNMCTUIu7dTqbL7+YCwnf4nF1jeet5c5krBuHxnXonh11i7ca/+7rHRwcDCbN2/hdLwlgTnVCdY4AWCjUuLrGEtFh934OW/D0153dy0y2Zv9twbgaPE279Z2ooOfBVlZmZw/f57Tp08THx8PQotzWhKX/rhJ6B17FAotbXp5M2T5l5iaPX5u9MtACMHZMbv5ds7vJKGmQkMHxn8ehHPqbr6/4sWI2TfRPLQitLGtObbG5nTuYESAdwzxoiFDR+zE1Sn/qx2WqoTF2NKI4Fu38XB5/FhCodFyvsEqEs9HsrdeKuPem4fW1AXb/jflrVlJkl5s+1+DiD3Q/Q6onAGIuRvHmEZTSIhIooPWlVcndsJrarNiDrRkezRhCY9KYuCXa3BQ/0Adt0tEKerw86kAhOleYreG/ruhAlp1tmPdzF3k2Hqw+7M1eP6h4Xx2PIeU0SiMlQxZ1I/2A1oWfaOeMyEEp08c4+T/emOSdJeyzd8i6qYn2369h1V5W063DiBow0RESqTBdnXaKhg5KYAap4eQ/nU26qg0FCZKHN/ww3lwdXIqpxAbeYGYyPMkxF4nKT6IpIRglEojTM1sMFOVwcbOmzL2FbF39qeCX1e0VwURC88S8+tVhEaLdX1XKi3pgMrfgVGjRrHk5yVkpv87scjcwoJvVtXH3OsA2itwOGQZKyb0N/jyc93UTaz9ciP+zf2YvHMMKosCrNqVlQxhxyExRLcCgVsdcK7+Uj9LpbAIIVg19WfWTz6ImX0GAV+cwM3tHjkXtfj49aFxz4WYmes+FOfk5HD2/EkCT20nljAyy8Rj7RCMu/1lADRaM6JTOiJy+uJhWZ86dulkpSYQHR1NVFQUERERaDQaTJXGmN6K4ubfwdy7Z4MQSipVN2PY0lFUrO9fnKejyF1feJyvP15KLFn41LBh4hdHsddcYa/2Td4ctY6khxcXUYKVow2920JV72T+iarF8p/O5vtYpSphGfBFR5bM2PHEuuHfnSZo5F/85ZeOmdVhxo86igiYgcJ/TFGEKkmSVHiC18GxflBvPvj+O2Qi9Eo4k1/9hpjQOBornPno1KdY15Hf9D7Og4RFCMHaHWcYOWcr3XzXUdX5FrfUjdhyM4fkpFCS/37ow7gCBrxVkfk/HOfKhdvcHv43tv9o2WkSwS11Em6VXBj7+0dUCHi5lpgOuX6JXZ+2QZkShdavDTaqhmxYHIpGA/QIYPvJTWiDDxtsY2qpoMcwwfsf9KLi5f4kL0wgad8dAFTetlg3cse6nguWNZ2xqOKASVndfAIhBNo0NZnBSWQEJZASeI+Y36+RFaJbMcy2tScen9bDrkMFgoKC6NWnN2dOnjY4tr2DPfM21EBtdQDtOdh3eADT535PBYd/vzHfOHsHy8f8ik8db2bsG5f/OUY5aoj6ByL/0Q3/KuOtG/5lVvJWf3vRHP7tOAuHLiU9IYvynYKpNuI0ZvZZoAVjpSUmxrpznKExTJC1anMyY7xJj6iKubo+2ZlKUlNTDeoIIVBkKOFOIjHnowm7pSUnxwgQVKhqRp8Z/an/eun9kidsy1WmvfEd93LSqFzFlElf7MRKmUi4/w90HTqcc4HJBvXN3C3p3TiHmn6ZjJyW/xSk1CQs1mWNuRcUg5Xl428/ZYWncKbyUvYpIjiREsHsWVfwdbuEoluQ7lkGkiRJLzJ1CmxwB4f60PYvg7fiIxKZ0mYmt6+E0dzZk09CJ6M0++9PGX8ZeXh4cOafa3w47Q92Hr/Ohw3W4mFzl3OJ1dhvClHrb5Md+u84bqUSvvqsJyMnr2LvtxsxnRnC3cRU9ppEkqbOpmWfxgz9oT8W1i/G5PqCSom5x8aB3SwWAAAgAElEQVQRrcm6d500t7pYV+rE2dUR3L2djk15e/Z7GRFx7AfQZBps5+ChoG1PeLvP29Q3H0HakmTitgWReSvBoJ6RjSkKpYKcVDVCYzjp19TDGqeelXF+xx+rWmVJTExkxCcjWbdmHeosw6eYlyvvxtR15mjNgtCegMt7mtBl1i5a++pWaBNCsG7KJtZN2UR5f3e+OjAeW8d8JBsPVv8KOwHqNN3wr3KNwcb96dtK+RZ3L4EFA5ZyZucFlMYKytfNwKnOKZwC7mHjaYuVS3lsLH2wMvXEVuWHs2VjrEx8CAm5w5UrVwgJCcHS0hJrS2vU8YKEG7HcPRXEnUsxpOk/c2txckqjTlsf3pj8ES6VvIqxxSVH3Kkwpjb/mtuZSdSqms34z3diYmqGaHeQT2YNZ+Hsv8l5aFE/pbUxnZsr2LI9+/E7fUSpSVimLXiTCR/9/sR6V9/czP71x9lJOHVfKc+kD75D4dQE2uwuokglSZIK2aGecHeLbliYueEE+4zUTD6rMp6QsGhea1GPAQeGF1OQJZu9Y1moNpwcdQKfNl+HtfE9AhNc+TvJjPjf7iDU/3arlpYKlv2wiJatu3P4/bVY7Unjb0UkV0USVnaWDJr/Li37NH4+T0UvwbLTU9gxtjMxFw+R6VCJxMrdMb6l5ey2GLIyNGirubInfj+ae6dzbas0Bv8G0LZTAO/1moyvbTvSzkaRfimG9GvxZNyIR6FUYGRlipGNKWZetphXLINFVUes6rigUCqIjolm0qyprPl5FakJKQb7VxgpadikMv3/dxMTU4F6m5aYE26UG3+Evs10d7wenrPiU8ebybvGPD1ZEUK36te9M5AWpVv9y60OOFV96Z9OX1yEEBzbcIo9Sw9wfu8ltFqBQiGwtkzAziYeW+cy2Ht4YOvmgZmNPSobexKjU4i8HUVMaDyx4cmkJDy8XLbA2jIRF9csqjTxpfWgt6jQqNlL///rs0gNSWBmna84Hx9J41oxjB29nxxzT0w6H2d34Gb69hlA9D3DlKMgKUipSFiMjBUkp0ViaVb2sXXi/wzir06rWKcMwc7DjoWbfbC4MhoaLoGK/YowWkmSpEIU8jscfQfqfgd+Q3O9nRydzCivsURnpDJ8cm/aftmxGIIs2RSmNvi+8gFD669G5MTyW4gDp3emkBNv+G1hraq2bNpxnoQz4dwbdojwqBT+NookLUdN/S61GLb4fexd8z/p9EWXo87m8JzB3Ni1Asq4EV35TdQ51qQHpnDtaBwoFNz2NuVq9HZEatRj9+PkbkwV/4o0qN2WerWbU6NGDXx8fDB6aPnYHLREpMWw5e/tbN24lf2/7UKdmfvbXDNLczq/bUeHgfewUJYn4bsYNGFK0j/Yybg+umE+ceHxLBqynFPbz+PfzI9J25+y1LQQkHwXIs7pEhWFEhwrg1tdufpXEYq7l8CxDae4fOgaF/6+SEpC5hPrm5pkYqFKxUKViq1dDj513Alo1wCfFq9i51VVJin5oEnNYlXThWz55x86tb3BoH5nSTCtiW23I8THx9K1iw+BJ//9d5AJyyNs7cxISnj8ets56WoOVfmBJXfPk2UKM49Nwid+MMQcgx7hYGJThNFKkiQVInXq/WFhdaHt33lWuXs4iE9bTEeNllmHJuDTtFIRB1myWVpZMX20goTEVH46YkXUOcMx70oFfDqgCSMm/cbZMduJ/+0uh0QUUWRiWcaCQfPfpdU7TUrlByAhBP+sm8XJnz7HyNya7Kqdibb2JT0ym5iDCcRcS0UYKzhXThCZfBxt3K187ddEZUK5at64+JYnNSmFhIhYIi6HoslS51nf2MIMR1srug9Pp1EHMxzpw9UJv2KalkJKnz8Y+4HuafV7lh5g2afrSE/OoGWfxgz76f3HT7DPUUP8TYi+BJmJukTFwU/3lHrTkv3gz5edEILEqCTSktKJDbpFXEgQ6fGRZCREYWljStkKztiWdcHGvSK2Hr6obB2KO+QXltAKDvT7gyWrd/J23xN0bneLf+LrYt5uOa5lLPjs/fos+zuS7CyZsOTi6u5ERHjMY9+/9cV+5vzvV8JIZ/QvQ2jVoxJsLA/unaDFhiKMVJIkqQgc7gWhm6BbMFi45VnlyBc7+eZ/67C1MGf2lek4ezoVcZAll621gtZNYftBJZoMwzkTraoqmDH2XeIzuxI16R/ORkVzhzSMTYzoOKwNPb/oiq2T/BIs9PifHJz1ARnxkTjUaIm2SltuxWmIuZFG+N440iOzEMZGBJV34q7yEtqoE2SkJDx9x09hYqPCytiCqvUFfUbb0NB/ABcvtSBi7tvYZt5D8e4qBn/Qh4sHrrL8s1+5eeo2Du52fPjje9TvXCv3DnOyIfEOJAZD0l3dZHojU3CsAs7+MlGRSq2ghSdZM3oNnUdtonaNSNbua0CsX0/adn6F28e3MO6bqVy4mpHv/ZWKhOVJD/nKCElkWsUvuaiNp+vwdgz87l248ROc+ggarwTv3kUcrSRJUiG7sx6OvA11vwW/YXlWEUKwst48Npw5i4Wlit9SlxRxkCWXkZECrWGegmMZBT/0VdKoWVuWz6pJ9OkkgkUqCgW06tOEPtN74OzpWDwBl1CZSXEcWzCcW3+txcTCmlq9PsXCowJBoREc/TuWoMPxpN7RDR9JcXDktrcdOTmBZN+7QHJyPBqNGq0656nHUZgYoVKpsDQzx6+GDa/3qk//tz/jYoQf85dtoPmJjzDPScXm7YVUrdCMLd/u4vSf/2BsYsSrQ1+hz9Q3sLS1+HeH2am6Z6gkBOvmqAgtoAArF7CvCPaVwKiEPIcjJwsuzwT/sSRkZNNz8xRWdxzF1k1vMGjACQC2zx5Fq36T+PmNFUR/0osxbe2YtW0pViGpjBoxEjOzAizZDPcfhnkOXGrJpZpLuZQzkRzruZSag7/D2TWJGfObEV6mOtW7+tKydQv8/fO/DHSpT1hmV57Gwes3qFGvElOPjcfI2Aj+an9/ONg9MJHLDUqS9JLRpMF6d7CvBe32P7aaOj6D3yrNYWv8LX4XK4ouvhLu0aFcb77qzo+vRREZ58nUKY1JyxYogDpNq9L/x3fx9JerTD7JnWPbOTb/Y1IiQ7Dzrka9t0fj6WFHclwEx88lsn9rDNeOJZKTrkarVBLn4UlaBUecPFKwFaEkhN0gJiaahIQEUlNTUSqVGBkZYaYypaKPN9WqVaFG9QC6dO6Gm5s7266mM2t/AlYnFvB66GyS1B6ofD/kwv4IYkLjAGjeqyHvzngTF29HSI/TzUVJjYTUKN1KXwAodCt9lfGGMl5gUgJXeVMnw++O0DOWkKR0Ot99j9+dvuL3b2ozZb6uytcN4YNVobzn+wW7hn9O8ORylBvekrIHorh55RrW1gX8HJSTDedXQEB/3d0mqVRTx2UQPGQp5V+ZgDBR89mUV4hMd8KttQPf/f5NvvdTqtesXDN0DQev38DTzp6JB8bqkpXMaIg+qBsOJpMVSZJeRsaW4N4RQtdDejhY5L28qom9OV029cO+5aoiDvDF4OJixBe92vBx3X3cCrZn8oy6mGWb8GotP3qs7Ydz5ccv9CL9y7NxZ9xrt+bcmv9x4fc57JnxPk5V6lOn96e0616P9q2DyUqM5ejfsWz/M4lbZ0MRocEAJNo5kFm1J74tvPCo5IJP1bJ4utvgamOMmbGCoDg1N2PVnI5Vs3armhv3bmJ0+wbtr/yIeVQc+5N6kJFhCoGXcHCz4c2RjWnT3Rs3NyVkHobzSaB9aNUolR3YlgMrV7AtD8YFvPsgSaWMiYM5lX4dRtQ3SpxdP2XGp8cYNaMdt/+IfPrGDym1CcvuJQf49cddOKHiyz0PPaU2dLPu9m75HsUboCRJUmHy7KFLWEI3QuWPH1vNtnk5qk1vXYSBvQAU0LVFSxqi4sNa+4iKtmTF7Fd5zbQibVf3xPkNv+KO8IVjrLKg3gfT8H/9Q87+MoNr239i16SelClfmWo9RlKpaSdae0XRumc4mfGxnDsey7a/UrkSGIPV0WNojh4jBAgBcoyMyLK0Qq3S3fFQCIGROhurjHTqZ+kW4InFDrDD3VNF/eYO1GtiT9VathgZKYBQSFSAqSVYlgVLZ7Aqq/tvmaBIUoEpjJS4fD6M1E0Z2Bh/wZyhJ9hw+MMC7aNUJixn91zk+yHLsMWEjwe/hlPdh27Xh24ApRl4dC6+ACVJkgqbWwfdnZY7fzwxYQEo93nDIgrqxaBSWFAx1JxR4/eTmWHGpW/60qtJU3yXdcS0rGVxh/dCs3BwpenIhQS8PZbLmxZydetijswdwvHvLanY+i0qtX2XsnU60KhONo3ej0ekxxH6TzC3r8Vy7WYKIcFpJMRkkhKfiTo1FRMjMFHkYGKUjtI0HiOSsbbKoEmX+jTv0Rp7V1vdUsNGZroJ8mY2upeplZx/IUnPmVW3T9Hsv0cZFtIlZh3wab63LXUJy53LYcx8cwGmQslbZfyo/nWbf9+Uw8EkSSotjC3A7VXdXZaMCDB3fWxVhbL0Lb/7JEYKLdPGHsNEoeDG/P5UmdAP16G1SuUyxYXFyrkcDQbPpPa7E7n51xqu//kz1/9cxvU/l2FkZo6Lf2PKVmuMg08ADjVr07CRNQ20WkSOBnVGKur0FOKDLxG0bx3hZ/5CaLWobB3x7dAf/24fYe3iWdxNlKRSybjlbMTBOzg33law7QopnhIpPSWDr7p9R2ZqFm+K8tSe1BrjMg89xEkOB5MkqTQp11WXsIRth0oDizuaF4atdTYW5lqCNg3GZ/0kLKrI1b8Ki4mFFVW7DqZq18HE375IyJHNRJw/SOSlo4Sfzfs5Qg9TGptQrmEnKrV9B68mr2FkKod0SVKxUihRNF0Fe1oVaLNSlbAs/mgV925G0taqPJVsXHAZEmBYQQ4HkySpNHF7FZQmELZNJiwFoFBoib45EO81czAyLyHL15YC9hWqY1+hOvSdSI46m4SQy8TdOk/87YvkZGfqPggplZhYWGNqbo2FoxvlG3VGZWNf3KFLkvQwY0tovaNgmxRSKCXOoV8D2bfqCNUqexJwzYpysxobdjRyOJgkSaWNqS04t4DIfaBOkde+fBJYUHbqwuIOo1QzMjHFsVItHCvl8TBHSZJKPlXBHkasLKQwShShFfw0/BesHaxoE+eAmYcNLh/UMKx0d+v94WBvFE+QkiRJxaFcV9Bmw73dxR3JC0NhYVfcIUiSJJUqpSJhSUvKICkmhTe7t8A0Jhv34XVQmj6y+kfYNlAY655NIEmSVFo8GAIbtrV445AkSZKkxygVCUtWehbVW1Wh/Ml0lJYmlB1Q07CCOlU3JKJsCzAtUzxBSpIkFQcLD7CvA+E7Qasu7mgkSZIkKZdSkbAA9HirJen/xFC2f3VM7FSGb0b+BdosOdlekqTSyaMLqJMg6lBxRyJJkiRJuZSKhMVUZYLl0XgA3D6qnbtC2P21oN1lwiJJUilUrqvuZ1jB1sWXJEmSpKJQKhIWc2sVsRtvYN3QDYvKDoZvanMg/E+wqwFW8kFSkiSVQrb+YFVBl7AIUdzRSJIkSZKBUpGwKDUCbZoa577Vcr8Zexyy4uTdFUmSSi+FAjy6QvpdSDhf3NFIkiRJkoEiT1gyMzN5/fXX8fX1JSAggA4dOhASEgJA48aNCQgIICAggGrVqqFQKLhw4QIA6enp9O7dGx8fH3x9fdm4cWO+j5mTrkFhosTprcq533wwBMKjy39tmiRJ0ovrwTXw7pbijaOI3bx5k8aNG+Pr60v9+vW5cuVKcYckSc+P0gyqTwClGbYqS1wv++Ng4UyN1s05mnWGrKw0Xhn0JRZ21rRrXofPX3HARmXG+C4fMPLj4Ziamhb8mAojcK2t+ylJz4lCiKK9/5+Zmcm+fft49dVXUSgULFy4kK1bt7Jnzx6DeuvXr2fKlClcvHgRgKlTp3L79m1WrFhBcHAwjRo14urVq9jZPX09fGeFLfu7LMN/ax7PWNnqD5o06Bas+5ZRkiSpNNJqYGN5MHeFTmeKO5oi07p1a/r27Uv//v1Zv349c+bMITAw8InbeHh4EBYWVkQRSpIkSUV+h0WlUtGxY0cU95ODhg0bcvv27Vz1li1bxgcffKD//bfffmPYsGEAeHt707x5c7Zsyf83gfYdK+QuTL4OKTd1q4PJZEWSpNJMef85VIkXITW4uKMpEtHR0Zw9e5Z33nkHgDfeeIPg4GD9XX9JkiSpZCj2OSzz58+nSxfD4Vjh4eEcOHBA34kAhIaG4un576R4Ly8vQkND830cu/beuQvDtut+yvkrkiRJ4N5J9zN8V/HGUUTu3r2Lm5sbxsbGACgUCsqXL1+gvkWSJEkqfMbFefCvvvqKmzdv8uOPPxqUr1ixgs6dO+Po6GhQrnjoLsiTRrLNnTuXuXPn6n+PN0rDp1keE+4BcAYG5Dvm1NRUrKys8l3/ZVKa217Y5LktHKX5vD57252BGfdf/7KysuLatWvPI7QSRfHI3fW8+pZH+5TIyEg8PDyeWwzy77R0tr2wyXNbOErzeX3ebS9Iv1Lkc1gemD17Nr/++it//fUXZcr8+3R5IQSVKlVi0aJFtG/fXl/u7+/PihUrqFevHgA9e/akY8eO9O/fv0jjLs1jl0tz2wubPLeFozSf19Lc9vyKjo6mUqVKxMXFYWxsjBACV1dXjh8/jpeXV5HFUZr/rUpz2wubPLeFozSf1+Jse7EMCZs7dy7r1q1j7969BskKwMGDB8nOzqZt27YG5W+++SaLFi0CIDg4mIMHD9K1a9cii1mSJEl6uTg7O1OrVi1Wr14NwIYNG/Dy8irSZEWSJEl6uiIfEhYWFsYnn3xChQoVaNWqFQBmZmacOHECgJ9//pn33nsPpdIwlxozZgzvv/8+Pj4+KJVKFi1ahL29fVGHL0mSJL1EFi9eTP/+/fnqq6+wsbFh5cqVxR2SJEmS9IgiT1g8PDyeOP/kl19+ybPc0tKS3377rbDCyrfRo0cXdwjFpjS3vbDJc1s4SvN5Lc1tLwg/P7+nLmNc2Erzv1Vpbnthk+e2cJTm81qcbS+2OSySJEmSJEmSJElPU+zLGkuSJEmSJEmSJD2OTFgkSZIkSZIkSSqxZMLykKysLD766CMqVaqEv7+//sGVN2/epHHjxvj6+lK/fn2uXLmi32bjxo3UqVOHgIAAqlSpwiuvvIJWqy2uJvwn7dq1o0aNGgQEBNCsWTPOnz8PlJ72FwUvLy8qV65MQECA/vXw+ZTy71n+Xh+cf41Goy+rW7cuBw4cKOrw/5NnuVa9LG1/0ch+RfYrhU32K8+H7FNKeJ8iJL2RI0eKjz/+WGi1WiGEEPfu3RNCCNGqVSuxfPlyIYQQf/zxh2jYsKEQQoiIiAjh5OQkQkJC9Ps4c+aMfvsXTUJCgv6/N23aJGrVqiWEKD3tLwqenp7i4sWLxR3GS6Ggf69C6M6/l5eX+PHHH/VlderUEfv37y+SmJ+Xgl6rhHh52v6ikf2K7FcKm+xXng/Zp5TsPkUmLPelpqYKW1tbkZKSYlAeFRUlbG1thVqtFkIIodVqRdmyZUVwcLA4e/ascHV1zbXNy2DFihWiTp06pbb9heVxHcuGDRuEn5+faNiwoZg6daoA5HktgPz8vQqhO/8rV64U7u7uIi0tTQjx4nUuz3KtEuLlaPuLRvYrhmS/Ujhkv/L8yT6l5PUpckjYfUFBQTg4ODB9+nTq1q1Ls2bN+Pvvv7l79y5ubm4YG+tWgFYoFJQvX57Q0FBq1qxJo0aNKF++PN26deObb74hPDy8mFvy3/Tt25dy5coxYcIEVq5cWeraXxR69OhhcOs+OjqagQMHsmXLFgIDAzEzMyvuEF8YBfl7faB27do0b96cb7/9trjC/k+e5Vr1wIve9heN7Fd0ZL9S+GS/8nzIPqXk9ikyYblPrVZz+/ZtqlatyunTp1m4cCG9evVCo9GgUCgM6or7K0ErlUo2bNjAsWPH6NChA0ePHsXf359bt24VRxOei1WrVnH37l2mT5/OmDFjAEpV+4vC+vXrOX/+vP51/PhxateujZ+fHwCDBg0q5ghfHAX5e33Y9OnTmTdvHnFxcUUS5/P0LNeqh73IbX/RyH5FR/YrhU/2K8+H7FNKbp8iE5b7PD09USqV9OnTB4CaNWvi7e3NnTt3CAsL008qEkJw9+5dypcvr9+2cuXKDB48mM2bN9OwYUO2bt1aLG14nvr168f+/fvx8PAole0vSnldAKSCKcjfK0CFChXo3bs306dPL45w/5P/cq2CF7vtLxrZrxiS/UrRkf3KfyP7lJLXp8iE5T5HR0deeeUVdu/eDcCdO3cIDg6mWbNm1KpVi9WrVwOwYcMGvLy88PLyIjw8nKNHj+r3kZCQQHBwMBUrViyWNvwXycnJ3Lt3T//7pk2bcHBwwNnZuVS0vzg1atSIc+fOcePGDQCWLl1azBGVfM/y9/qoiRMnsnr1aoP9vAie5Vr1qBe17S8a2a/IfqW4yH6lYGSf8gL0KYUyM+YFFRQUJFq0aCGqVasmatasKTZu3CiEEOLatWuiYcOGolKlSqJOnTri0qVLQgghQkJCRLt27USlSpVEzZo1hb+/v5gxY0ZxNuGZhYaGinr16olq1aqJGjVqiFdeeUWcO3dOCFE62l9UPD09hZ+fn6hZs6b+dejQIbFhwwbh6+srGjVqJObMmSMnRz7Fs/y9CpF7cuqDiagv0gRJIQp+rRLi5Wn7i0b2K7JfKWyyX/nvZJ9S8vsUhRDyvqEklTQKhYKUlBSsrKyKOxRJkiTpJSD7FelFJoeESZIkSZIkSZJUYsk7LJIkSZIkSZIklVjyDoskSZIkSZIkSSWWTFgkSZIkSZIkSSqxZMIiSZIkSZIkSVKJJRMWSZIkSZIkSZJKLJmwSJIkSZIkSZJUYsmERXphTZ48GZVKpf9vhULx1FdISIh++5MnT9KzZ09cXV0xNTXF2dmZ7t27c/jwYX2dp+0vrye+FpeQkBAUCgW//vqrvmzevHls3749V92WLVvSoUOHogxPkiQpl5J+jS2sa2X//v2pXLnyc9tf5cqV6d+//3/eT2JiIpMnT+bSpUv5qh8TE8PQoUPx9PTEwsICPz8/ZsyYgVqtNqjn5eWV57/vo8fRaDRMmjQJDw8PzM3NqV+/Pn///fdT41ixYgUKhYLIyMh81XvwsrW1pW7duqxatSpf7ZWKj3FxByBJz8OAAQMMOpWlS5fyyy+/cPDgQYN6rq6uACxbtoxBgwbRqFEjZs2ahaenJzExMWzdupVWrVoRFBSEp6cngYGBeR7vwIEDjBs3js6dOxdeowrI1dWVwMBAKlWqpC+bN28eHTp0yBXn999/j1Ipv6+QJKl4vUjX2Odp4sSJpKamFncYuSQmJjJlyhQqV65MtWrVnlq/W7du3Lp1i+nTp1OxYkWOHTvG5MmTiYuLY+7cubnqfvbZZwZlFStWNPj9008/ZcmSJcycOZOqVauyZMkSOnbsSGBgILVr1/7vDbxvx44d2Nvbk5CQwJIlS+jXrx9ZWVkMHDjwuR1Der5kwiK9FDw8PPDw8ND/vmvXLhQKBQ0bNsxV99KlSwwZMoQ333yTNWvWGHxwf+ONNxg6dCiWlpYAeW4fHR1N9+7dqVmzJrNnzy6E1jwbMzOzPOPNS9WqVQs5GkmSpKd7ka6xz9OjH9RfRHfu3OHo0aP8/PPPvP/++wC0atWKkJAQ1q5dmythcXZ2fmIfFRERwaJFi5g1axYfffQRoLvDFRAQwJQpU9iyZctzi7127dq4uLgA0LZtW6pWrcr8+fNlwlKCya9YpVLnu+++A2D+/Pl53mVo2LAhjo6OeW4rhODdd98lOTmZ3377TT8k7XG8vLwYMmQI8+fPx9PTE3Nzc9q0acOtW7cM6mVlZfH5559Trlw5zMzM8PPzY/78+QZ1kpKSGDJkCB4eHpiZmeHq6kqXLl1ISEgAcg8J8/Ly4s6dOyxevFh/+3vFihVA3sMcjh07RsuWLbGwsMDW1lb/zVle7Vm6dCkVKlTA2tqadu3aGQy1kyRJelZPusYKIZg1axY+Pj6YmZnh5eXFpEmT0Gg0+joHDhxAoVCwe/du+vfvj42NDe7u7owbN46cnBx9vaioKAYMGICPjw/m5uZ4e3szdOhQkpKSChRvREQECoWCHTt26Mu+/vprFAqFvq8BWL9+PUqlUn+9fnRI2IOhSmfPnuW1117D0tISb29vvv3221zH/PPPP/H390elUhEQEJCvIVMAJ06coFu3bri7u2NhYYG/vz9z585Fq9UCuj7E29sbgN69e+c5lPphD4Z9lSlTxqC8TJkyPMszyXfv3o1Go+Htt9/WlymVSnr37s3u3bvJzs5+6j7u3bv31PP3KGNjYwICArh9+7a+bPz48QQEBGBtbY2LiwudO3fm+vXrBW6T9PzIhEUqdfbv30+9evVwcnIq8LZfffUVe/bs4fvvv8fPzy9f22zfvp1Vq1Yxb948li1bxu3bt2nXrp3Bxffdd99l3rx5DBs2jG3bttGpUydGjBjB1KlT9XVGjx7N5s2bmTZtGnv37mXBggW4ubmRmZmZ53E3bdqEi4sL3bp1IzAwkMDAQDp16pRn3XPnztG6dWu0Wi1r165l8eLFXLlyhWbNmhEdHW1Qd+fOnaxZs4Z58+axZMkSLl26RJ8+ffJ1LiRJkp7kSdfYsWPHMm7cOHr06MG2bdv44IMP+Prrrxk0aFCu/QwdOhQ3Nzc2btzIe++9x9dff82yZcv078fFxWFtbc2sWbPYtWsXkydPZt++fXTp0qVA8bq6uuLr68uBAwf0ZQcPHkSlUuUqq1GjBnZ2dk/cX58+fWjSpAlbtmyhbdu2jB49mr179+rfv3jxIq+99hoeHh6sX7+ejz/+mPfffz/XdTovd+7coV69eixevJgdO3bw/vvvM3nyZCZPnqxvy8aNG7L3b0UAACAASURBVAGYNm2avt94MJT6UT4+PrRu3Zrp06dz4cIFUlNT2bt3Lz///DMjRozIVf9BAmpubk6rVq04cuSIwftXr17FwcGBsmXLGpT7+/uTlZVFcHDwU9v4tPP3OMHBwbi7u+t/j4yMZMyYMWzbto0ff/wRjUZD48aNiY2Nfeq+pEIiJOkF9eWXXwozM7MCv6dSqUSvXr0KfLxDhw4JIyMj0bdv33xv4+npKSwsLERMTIy+7NKlS0KhUIiffvpJCCHEhQsXBCDmzZtnsO2gQYOEhYWFSE5OFkII4e/vL0aNGvXYYwUHBwtArFu3zuD4gwcPzlW3RYsWon379vrfu3fvLlxcXERGRoa+LCQkRJiYmIgJEyYY7M/FxUWkp6fry3744QcBiLCwsKeeD0mSpMd50jU2NjZWmJqaipEjRxqUf/XVV0KhUIibN28KIYTYv3+/AMSIESMM6jVo0EC0adPmscdWq9XiyJEjAhCXL1/Wlz96rczLwIEDRd26dYUQQmg0GmFtbS2GDx8u7O3thVarFUIIUb16dTF8+HD9Nv369RN+fn7635cvXy4A8e233+rLNBqNcHNzEwMGDNCX9erVS3h4eIisrCx92Y4dOwQg+vXr98Q4H6bVaoVarRYzZswQzs7O+vK8+pEnSU1NFR07dhSA/jVmzJhc9T7++GPxyy+/iEOHDom1a9eKWrVqCRMTE3H06FF9nYEDB4qKFSvm2vbw4cMCEMeOHXtsHPk9fw/qhYWFCbVaLaKjo8W0adMEIMaPH5/nvjUajUhPTxdWVlZi0aJF+Tov0vMn77BIpZJCoShQ/djYWHr37o2Pjw+LFi0q0LYtW7Y0GGLm7+9P5cqVOX78OIB+VbJevXoZbNe7d2/S09M5ffo0AHXr1mXFihXMmjWLCxcuPNMt98c5fPgwr7/+usHwC09PTxo3bsyhQ4cM6jZv3hxzc3P97w/mw9y9e/e5xSNJUunytGvsiRMnyM7OzvM6KYQwWN0RoH379ga/V61a1eAaJYRg3rx5+Pv7Y2FhgYmJCU2bNgXgxo0bBYq9RYsWnDt3juTkZM6cOUNmZiZjx44lMTGRCxcuEBcXx6VLl2jRosVT9/Vw3EZGRvj5+RnEffz4cbp27Yqpqam+7NVXX8XCwuKp+05ISGDkyJF4eXlhamqKiYkJ48ePJzo6msTExAK1GXTn8L333uPq1ausXLmSgwcPMnPmTL7//numTZtmUHf+/Pm88847NGvWjN69e3Po0CFcXV2ZMmWKwf7y6psL0tc97fw94OHhgYmJCc7OzkydOpWPPvqIiRMn6t/fuXMnTZs2xc7ODmNjYywsLEhNTS3w34b0/MhJ91Kp4+7uTmhoaL7rCyHo27cvsbGx7NixAysrqwIdz9nZOVdZ2bJluXfvHgDx8fEolcpc9R5MCIyPjwdgwYIFODo6smDBAsaOHYuLiwvDhg3jiy+++M8rfsXHx+uP92gMly9fNih7dEjDg47zcUPTJEmSniQ/19gH18FHr1OPXicfyOs69fA1at68eXzyySeMGjWKtm3bYm9vT3h4ON27dy/wtaxFixbk5ORw+PBhrly5Qr169XBzcyMgIIADBw5Qvnx5QPdlz9M8Le6IiIhcfYVCocizn3lU//79OXToEJMmTaJGjRrY2tqyefNmZsyY8UzX7x07dvDHH39w6tQp6tatC+jaqFQqGTduHEOGDHns0GsrKys6derEb7/9pi97sGrXox6U2dvbPzWmp52/B3bt2oWDgwO2trZ4enoaJICnTp2ia9eudOjQgWXLluHi4oKJiQkdO3aU/VwxkgmLVOq0bt2alStXEhMTk695LLNmzWLnzp0sWrSImjVrFvh4eY0tjoqK0q+WYm9vj1arJTo62mDs7oP15B9cpK2trZk9ezazZ8/mxo0b/Pzzz0ycOBEPD4//vP6+vb19nuvXR0ZG5quTkCRJelb5ucY+uA5FRkbi6empL3/0Oplf69ev59VXX2XOnDn6sofnnBSEh4cHFSpU4MCBA1y9epWWLVsCurvrBw4cwNPTk6pVqz52MZeCcHV1zdWnCCGeOoclMzOTHTt28L///Y9Ro0bpy/N6Tld+XblyBYVCQa1atQzKa9WqhUajISQk5Kl97MN3VKpUqUJcXBxRUVEGfeGVK1cwMzPTLwjwPNSsWTPPL+kANm/ejIWFBZs2bcLYWPcxWaPR5JlMSUVHDgmTSp0RI0YghGDkyJF53mo+ceKEfmLdsWPHmDBhAt27d+fDDz98puMdOHDAYKLe5cuXuXbtmj5hadasGYDBAx9BN0HRwsJC/83Vw3x9fZk5cyZ2dnZcuXLlscd+3LdLj2rWrBmbN282qHv37l2OHTuWr28FJUmSnkV+r7ENGjTA1NQ0z+ukQqHQX0fzKz09Pdcqj7/88kuB9vGwFi1asG/fPo4cOaIf+tWyZUsOHTrE/v378zUcLD8aNGjA1q1bDRZt2blzJ+np6U/cLisri5ycHIM25+TksG7dOoN6Bblj7uXlhRCCM2fOGJSfPHkS4IkJRkpKCtu3b6devXr6svbt22NsbGzwb6zValm3bh3t27c3uAtSmNLT0zE1NTUYubBu3TqD1eikoifvsEiljr+/Pz/88AODBw8mLCyMgQMH4unpSWxsrH5Fr1u3bmFkZESvXr1QqVQMHDhQP+fkUU979omdnR0dOnRgwoQJZGZmMn78eMqXL6+/K1K9enV69uzJ2LFjyczMpHbt2uzZs4fFixczefJkrK2tAWjcuDGvv/461apVQ6VSsXXrVhISEmjTps1jj12lShX27dvHnj17sLe3x9vbGwcHh1z1JkyYQKNGjWjfvj2jR48mMzOTL7/8Ent7ez7++ON8nllJkqT8S0hIyPc11sHBgZEjRzJ79mxUKhWtW7fm5MmTTJkyhf79++Pj41OgY7dv3545c+bw7bffUq1aNbZt2/bMd1hAl7AsX74cY2NjmjRpAuiGRyUmJhIfH8/48eOfed8PGzduHHXr1qVLly4MHz6cqKgopkyZ8tTVx2xtbWnQoAEzZ87EyckJS0tLFixYkOtDuIuLC2XKlGHt2rVUqlQJMzMzatSokWey0LFjR7y9venZsydffvklnp6eHD9+nOnTp9O7d2/9HaV169axbds2OnbsiLu7O2FhYcyZM4eoqCj++OMP/f5cXV0ZNmwY48ePx8TEhCpVqrB06VKuXbvG8uXLn8PZy5/27dszb948hgwZwltvvcWFCxeYO3duruWbpSJWPHP9Jem/e9ZVwh44ceKE6NGjhyhbtqwwNjYWTk5OomvXrmLnzp1CiH9Xm3na60kerNI1d+5c4eHhIczMzETr1q3F9evXDeplZmaKzz77TLi7uwsTExPh4+OTa9WwMWPGiBo1aghra2thZWUl6tSpY7CSS16ru1y6dEk0a9ZMWFtbC0AsX75cCJH3yjdHjhwRzZs3F+bm5sLa2lq89tpr+pV3Hm3PwwIDAwUg9u/f/8RzIUmS9LCCXmO1Wq34+uuvRYUKFYSJiYkoV66cmDhxolCr1bn2GRgYaHCswYMHC09PT/3vaWlpYsCAAcLBwUHY2NiInj17ihMnTuS6huZnlTAh/r3+NmzY0KC8Tp06AhAREREG5Y9bJezReu3btxctWrQwKNu2bZuoUqWKMDU1FdWrVxd79uwRfn5+T10lLCgoSLRt21ZYWloKFxcXMW7cOLFkyZJcx924caOoUqWKMDMzE4AIDg5+Yrv79OkjypUrJ1QqlfD19RUTJkwQqamp+jqBgYGiZcuWwsnJSRgbGws7OzvRpUsXcfLkyVz7U6vVYuLEicLNzU2YmZmJunXrir/++uuJ7RIi/+fvcfUeNXfuXH2bmjRpIk6dOvXYVTeloqEQ4jkuNSRJkgEvLy86dOjAjz/+WNyhSJIkSZIkvZDkHBZJkiRJkiRJkkqsIk9Yhg8fjpeXFwqFgkuXLunLvby8qFy5MgEBAQQEBBgsdffgvYfHWtatW/c/jTeVJEmSSodn6XckSZKkkqPIJ9336NGDzz77TP+ApoetX7+eatWq5bldVlYWP//8M4MHDy7sECXpuQkJCSnuECSp1HvWfkeSJEkqGYr8Dkvz5s3x8PAo8HZTpkxh2rRpT126T5IkSZIe9qz9jiRJklQylKg5LH369KF69eoMGDCAmJgYg/dq165N8+bN+fbbb4spOkmSJOll86R+R5IkSSoZSkzCcujQIf755x/Onj2Lg4MD/fr1y1Vn+vTpzJs3j7i4uCfua+7cuXh4eOhfzs7OhRW2JEmS9ILKT78Dsk+RJEkqbiUmYSlfvjwAJiYmjBw5ksOHD+eqU6FCBXr37s306dOfuK/Ro0cTFhamfxXV01ElSZKkF0d++h2QfYokSVJxKxFPuk9LS0OtVuufIrpu3Tpq1aqVZ92JEydStWpVTExMijJESZIk6SVSkH5HkiRJKl5Ffodl2LBheHh4EBYWRps2bfDx8SEqKopWrVpRo0YNqlevzsGDB1m1alWe2zs5OTF8+HAiIiKKOHJJkiTpRfRf+x1JkiSpeJWKJ90/6KiehUajwdfXl2nTptGnT5/nHJkkSZL0ovkvfYpKpeLzzz9n8uTJvPvuu6hUKpYsWfKcI5QkSXq5lJg5LCWVsbExY8eOZdKkSajV6uIOR5IkSXpJfPHFF6xcuZLr168XdyiSJEklmkxY8qFPnz5ERESwdevW4g5FkiRJeklUqVKFBg0asHDhwuIORZIkqUSTCct9p06dolOnTpQpUwZLS0sCAgJYt24dAFZWVnTs2JHly5cXc5SSJBWXCxFZfLo9lnZL7vH5n3Fsv5JGfHpOcYcllWArVqygYsWKmJub06RJE86fP5+rzltvvcWaNWvIzs4uhgglSZJeDCVilbDiFhgYSKtWrahVqxY//vgjjo6OXLhwgTt37ujrNGnShIkTJ6LRaDA2lqdNkkqDqBQN686nsvJMCufv6T5QmhjB3psZzLxfp4qzCU28VLqXpwofRxMUCkXxBS2VCDt37uS9996jd+/e9O3bl2vXrvHGG2+Qk2OY5DZp0oSEhATOnDlDo0aNiilaSZKkkk1+8gbGjBmDl5cXhw4d0i+X3KZNG4M6AQEBpKWlcenSJQICAoojTEmSikCmWsv2q+msPJPCzuvp5GjBRqVkYH1r+tW1pkE5FZejsjkaksGRkEyOhmSy9GQKS0+mAOBsqaBJeROalFPSpJyS2i5gqhQgtKDN0f0UD35qH1+eV5mxCizLgpULmFoW85mSnmTq1KnUr1+ftWvXAtChQwdMTU0ZNmyYQb3q1aujVCo5ceKETFgkSZIeo9QnLOnp6QQGBjJ16tQnPtvF0dERgMjIyKIKTZKkIiKE4HhoFqvOpPDrP6kkZmhRKqC9rwX96ljR1SsD84wwSA6DC3HUFDnUNNPyoR/gB2HpZhyNteVobBmOxtqy5Zo1m67q7rKojHKob59ME8ckmjgm0tgxCTtTzX+I9pLuh6mVLnF5kMCY24FCjvItCXJycjh9+jRfffWVQXmPHj1yJSzGxsaUKVNG9i2SJElPUOoTloSEBLRaLe7u7k+sp1KpAMjIyCiKsCRJKgJ3EtSsPpvKqjMp3IjVrQJY3cWUCS3NeLtCIq45VyAlHIIydRsojcHSWfdTYaRLEJRGeDgqectTyVsKJSiySVEncCLKlKMRJhy9Z0zgvTIcirHTH7eqIzTxUNC0nJIm5Yyo4GCMQnl/fwqlwb7/LVNCdiqkRkFqJKRFQfwt3QtAaQJWZf9NYiydwUg+YLc4xMTEoNFocHZ2Nih3cnJCqcydVKpUKtm3SJIkPUGpT1js7OxQKpWEh4c/sV5CQgIADg4ORRGWJEmFJDVLy4aLunkp++8nIk6WSkbWN6JfxRhqmt5BkRkPsfc3MHcABz+wLadLBJRGTz2GNdDGGx4MLNXkCC5GZnP0/hCyo3cyWXJew5LzOUAOZa1y7s+DMaWJl4pabmaYGucxD0ZVRvdy9Lu/48x/E5jUSEi5p7sLBIACLBwNkxg5jKxIODk5YWxsTHR0tEF5TEwMWq02V/2EhIRi61uysrI4e/Ys0dHRZGVl6V8A3bp1k32eJEklQqlPWCwsLGjcuDGrVq3is88+e+ywsODgYAD8/PyKMjxJkp6DHK3gQFAGK8+ksOFiGulqganR/9k776gorjYOP9uoS28iSBMQsYDYUCzYa9TE3k00xZpYU0350osaTdTYEk2MEqMx9t5REBRFAekgXaR3lt2d7481IAFTbUnmOWcOMPfOnTvjujO/+zYY5alhqksOAyySUFADWkBtAJbuYOqo2xRGf/v8cpmEdg76tHPQZ06AGQDpRep6cTA/R5fzU1Q5AIYKCZ2a6dcG8ndxNsDCqBGhJDcAc2fdBrq4l4rb9a0wubch9xc3MpM6AaNsAgYWICYIuO/IZDLat2/Pzp07Wbx4ce3+nTt3Nuh769YtKisrH/qzRRAELly4QHBwMFVVVbX79fX10dfXp6SkhAMHDjB58mQkEglarZaCrCJUlSqkMil2rjZicgkREZGHxn9esAB8/PHH9OrVi549ezJv3jxsbW2JioqisrKSl19+GdClPfbw8MDOzu4Rz1ZEROSPEperYsvlUr6LKCWjWJedyd9OxRTnTMY2TcNSXw1IdC/vpo46K4qh1UN5iW9mLmecrwnjfE0AKKnScjFNJ16CU6sITaviTHLdi2QrOwXDWxnzcqAFpgb3iFWRyurECD4gCFBdfMcCc0fE3O1GJtO7EwPzixXmjrubyN9m6dKlDB06lAkTJjBlyhTi4uJYuXJlgyyT4eHhAHTr1u2hzi8uLo7jx49jYWFBv3798Pb2Rl9fv1aE7Nu3j4iICK5fv46DlSPvDf+cxMsptcd7d/NkwttP0ba3tyhcREREHjjikwno2rUrZ8+eZenSpTz77LMIgoCHhwevvPJKbZ8DBw4wZsyYRzhLERERAK1WS2RkJDKZDAsLC8zNzVEqlbUvTQUVGoLupCIOS9e5tjQzVvFayyymuGTTwrQC9E3B1FMnUkya6l7cHzGmBlL6eRrRz1Nn0VFrBK5lqzh/UydizqVU8sHJIjaGlfLhIEumtTdBKv2dF0WJ5C43Mi/dPnVVnQtZ2S1djE5J+i8H1HcjUza5Lxam/yJDhgxh06ZNvPvuu/z000/4+vqya9euBpnA9u/fT0BAwO/GUd5PtFotJ06cQKFQ8Mwzz6BUKhv06du3L7Gxsez65mdSd9ymIKuIXpMDsHKwoCCriDPbQnij70cETuzK/G+fbzQ2R0REROR+IREEQXjUk3jQODo6kpGR8fsd70FERASdOnUiPj4eNze3+zgzERGRP4parWbPnj2sWrWKhISEem0ymQxDpSlqhQmlmKDRM0FqoKS5lZwOTcDXXoaFTVPM7Zwxd2iOuY0D5ubmmJmZ/WZ2wMcJjVZg86VSXjtcQG6ZhvYO+qwcbkWAi+HfG1irhoq8+iJGU13XrmeiEy6uvf7eef5F/N1nyi+oVCocHBz47LPPmDp16n2Y2R/j8uXL7N+/n549exIYGHjPfsd/PskXYzeDVsL8Lc8TOKFrbVtOSi7r5nzLpYORjFgwiOnLJjz4iYuIiPxnES0sf4Bly5YxefJkUayIiDwCVCoVO3fu5MsvvyQ1NRVjY2MmTZ+GrYUVKVlFXEnKITmnmIrKUqSqEgxrsqEoDrVaTXoypAO7f2N8pVKJubl5o5uZmRnm5uaYGAsIqhtUFF9BIpTRsfsi3LyeeKiuMDKphOmdTBnVxpj3ThSy8nwx3dZkMd5XyceDrWhm/he/zqXyu9zI+JUb2R0BU5AgCpYHwJYtW7CwsGDixIkP7ZwqlYrTp09jbGz8m3Vfqsqr+On1owhq8JjYBLdujvXam7ja8uqueSzt9zE/Lz+EjZMVw14c8KCnLyIi8h9FtLD8Dmq1mo8++ohp06bh6Oj4+weIiIjcF6qqqti+fTurV68mKysLUzMzeo4dQpyskDPxV3SdpGYgs0apb05bKyN6u1ri4+KGk6M31qa2GAgySkpKKCoqorCwkOLiYoqKiu65FRcXU1xcjEwq4NhEhatDNS6O1dha1tVNUWtALgOJwpXuAz7Gr/PoR3J/4m+rWLg/n/03KjBUSHg50JzFPc0x0nsArjk1laD4m5acfxH3y8KyefNm3N3dH2r8ytmzZzl16hSDBg2iU6dOjfYRBIHlU9Zxeut5Rr85lDRFAlZWVjz33HPIZPWTP5QWlLG46//Iis/h05A3adHZ/WFchoiIyH8MUbCIiIg8VlRUVPDdd9+xdu1acnNzsbC0pNOoflytzuRqRiISpAgGHVFIJVgpbqPVFJJXXoRWaJguViGT42hph5NVE5pZ6X46WTWhmWWT2n1mRiYIgkBhXhw3E4+QGn+YjNQzaNS6uhhyhQUyQ28yc5XEJgsUFxXhYBlDG88yZFLILbLC1vlphgx/Dg8Pj4d9uzgcV8H8fXnE5tbQzFzOp4OtGONjLAZCP0D+qc+U8vJyVq1ahVKpZNasWQ3Exy+c3xnGR6O/oPMwP17b/SJnz57lzJkz9OnTp1FxlRaTyTyf13H1dWLZxbfFeBYREZH7jihYREREHgtKS0v55ptvWL9+PQUFBdg0saP18B6EFCaQkp+DoVxOW/tOXKyayGBPG3ZNc8LAQBcsX6OuIbsoj7T8HNLyc0gvuEVaXrbu552/C8qK653PQKrG06CMNspKWhiWYCKpAECQyFCYe2Pj1AMHp17kZkmIvh6NVqvF2dkZd3d3wsPDiY0OxkQWjKOtrtZGTJIBGfltCOwzisGDB9OqVauHJhpqNAJrQ4p561ghRZVaurkYsHKYNX6O+g/l/P81/qnPlEOHDhEWFsaoUaNo1apVo30EQWB+hzfJiM1i083PMbM2Qa1Ws3btWkpLS5k7dy4mJiYNjtu0cBs/Lz/EnA3TGTAj8AFfiYiIyH8NUbCIiIg8UgoLC9m4cSNff/01xcXF2DVriuuAjpzLvUFeeQlWBgbM9W2Nrf0IZoW2oF1TPc7OdECp/+dWcUsqSomOPUZy/CHyM86hKU5Ags4qU6Q1JqZCSUy5MYlVSqqF+ivPJhoFyqwqSq+nUV1aQRvXlowIHIytpyM5RVeRVh3CxCADrRYi44y4cEWJta0bgwYNYsiQIbRr1+6hrDrnlWt482gB60JLEIDpHU14f6AltkoxXPF+8k95pqhrKrkRuZWstPOYWrTi5Ll0bO3bMGPGjHuK6WunYni994cMndOP57+YUrs/Li6OoKAg/Pz8eOKJJxocV1FSyfOei9FqtKyL/xSlhVikVERE5P4hChYREZFHQl5eHl999RVbtmyhvLwcew9nbHu04mxWNBWqalxMTVjU3oenuwwgTNuO/lsrsVPKuDjHkaZmf+wFvKwkk5sJR0hNPEJ60nGqKgsAUOgpaebWB2ePAbi4D8DM0g1BEEjNyWT/ySOEXr9MflUp+bfzyLySQE5cCkIjFcqlEgm+xvb0sW6Nm7sRqtbhaJWZaLVyopKtOBUC1Sop9vb2DBo0iMGDB9O5c+d7uuLcL65lV/PinjxOJ1dhaiDlzT4WzA0wQ08uuondDx73Z4paXc3V0FVcPvcJlRV59dqUZm60ajcRv4CF6BuYNTj2nSGfEXH4Gl/Ff4p987q6Y4IgsHnzZtLT05k5cyY2NjYNjj35bTArpq5j+PyBzFj+8BIJiIj8W0m8nMKVo9eJCY7HxErJ1I/GYtXU4lFP65EgChYREZGHSnZ2NmvXrmXr1q1UVVXRtFVzjDq4cCHrBhqtFl8bK17u2J5RnQcib9qOG8WGdF2TiUYrcH6WA23s7+3mpK6pIvPmWW4mHOFm4hHyc6Nr22ybtsfZfQDOHgOwb9YFmawunXF5eTnnz58nPDyckpIS0qKSCQ0JJbXwj39vyGXgYwWdXeQ07yQgNdcgqGTkJDlwMlqfzOIyAKysrBg4cCBDhgyha9eu6Ok9mBowgiCwO6qchfvzSS1U42GtYMUTVgz2MhLjW/4mj/MzJTv9Ikd2TqKoIBETc2f8ui7AtcUwNqx9C31JMgayBCrKbtGkmT9PTT2Knn6de9fN6AzmtH6VriM78urOeQ3GzsjIYNOmTbRo0YJx48Y1aNdqtcxv/yaZ8dm17mQiIiJ/nogj19jxwV6iz8YBIJPL0Kg1GJsb8cKXUwicGPCIZ/jwEQWLiIjIQyE9PZ3Vq1cTFBREtUqFQztPBG8bInKSAOjr5MCSjh3p22EgErvWoDAit0yN/5eZpBWpOfiMPf096xcxFASBwtuxpCbqBEpGymk0al11eCOlnU6guA/Ayb0fRsYNV4QrKioICQkhNDSUm3EpxJ2/TmjKFVRCTaPX4N21JZ369yJ470kSI2Lvea36cgl+jgLtOkJzD5DWQGWSlMh4Q26UGnFbpbMQGcmltHdsSs/O7egztC9WTh4o7ZzQN7G4b6KiqkbL8nPFfHCykHKVwMAWhiwfak1Lu0dfLPOfyuP6TCnKTyRovT/qmgo6B75Juy4vIVcYcO3aNXbv3s2AAQPo1Kkj54+9xuXgT3B0DWTE5IPI72SAWzV9A8e+PsvrQWNx93PEyt2nwefwxx9/JCYmhhkzZjRa7PLcD6F8Mm41Y5eOYNL/Rj6U6xYR+Tex74ujrJ/3HTK5jMBJXekzrTuenZpz5eh1Vj//DUW3ihk6px8zVkxEo9WQm5uLra3tA1v8elz4bwgWBwfdw0VcVRQReegkJSXxxRdfsGvXLtQaDU07t6TMyZD4giykEgmjPdxY3LkL7X366qqx36k6X6HS0nt9FhfTqtkw0oYZnU0BnUhJjt1LStx+biYeobRYV6VdJtOjqXO3WpFi3aTtPV/6q6qqCAkJ4fTJ08QcjeDS9cukVmY32tfY1JDB00cyb+Y8Ajw6IEE35i8+/du3xLb+qwAAIABJREFUbycuLu6e16801aOdlwY/bw2u1oYYp9hQkFJDVGUV0ZUysqt1lh6FRIuncTUtTapoYQLm5vaYNHHC1NkNk6YuKG2dsPHqiKVr48HSv0dmsZpXD+XzXUQZcinM6WrGm30tsDB6sO5p/0YeR8FSVVnID+u7UJSfwLCJe3FtMaS2bfPmzWRkZLBgwQKMjIwQBIHTB+YSeXE1bl7DGDpuF4lnDrGk/3ZMjArp7ncYAHvfQAJe/LLeZy4nJ4d169bRoUMHhgwZ0mAeGo2WmV5LKMkr5eu0zzEyEdNhi4j8USKOXuedQZ9i727H/469jK2Tdb324tslvDtiOXEXkrD1tsRppBXIBPT09PD29iYwMBAzs4aunv8G/huCxc6CjCOfg5E1GNuCsQ0Y2YCeGBQoIvKgiI2NZdWqVezduxcNWpoEtOK2lUBmaQEGMhnPtPJiYdfuuHkFgqU7SOqC0jVagdFbb7E7qpxXe5nzwSCr2raw0+9z4cQbAFhYeeLsoRMojq6BKH7n/3R1dTWhoaHsW7+TyydCCL11nSpUjfb17tSS6S/O5rmnpqE0uPe4giAQGRnJ9u3bCQoKIi0t7Z59Lc2hnTe069QU72EzsZC0IefMVa6eC+NaajKpFbpMZnLAw0CLl2k5niblGMrqvqYdO/THd+Ir2PsG/iUrTOjNKl7cm0dYejXWxlLeG2DJjE6myKTigs4f5XETLIIgsO/74STH7aPn4JW061LnzpWXl8fq1atp06YNTz31VN0xWi1Hdk0h9tr3WMk9ufG9lusJ/gwar6TrUBeK0uOIP7wZiURK55mf0nb0/NpzrVmzhoqKChYuXNhoMokjG07x5XNf88xn43ly4eAHfwNERP4FZMZns7Dz2wAsu/g2Dp729doFQeDAgQOEh10i7eBt8i6X0PIJVwa+FEhSUhJZWVlYW1szffp0DAwMGoyvqi6lpDCVivJcDAwtMTV3xsDI8mFc2n3hvyFY7G3JOLUBKvJA0NQ1KIx0AsbIpk7EyMU0oCIif4dr166xcuVKDh06hFYuwbZ7KzKMKimsKsfSQJ85Pq2Z07UPNs27gmmzRi2fC/flsfxcMWN9lGwbb4v0zst0evIpftrcFyvbVjwxcQ9mFq5/aE4qlYpTe47xwwdfcy76Iok1mY32M1IaMGzaaBbOnE8H73Z/+tq1Wi0hISEEBQWxY8cOcnNz79nXzhp8Wlkw5IlnGT3xJcyaWJKUncqhfQc5ufsI169dRxAEZBIpXnI7/KrNcTfPRbCLBomATYsO+Ixfgkv3p5D+ySB+rVZg65UyXjmYT3aphrb2eqwcZk1gc3E1/I/wuAmWq6FfcvrAXLzaTmTAqO/qCdkTJ04QHBzM1KlTcXFxqXecuqaaLR+6U1qTQfZFH5IvtOfbnNUYKnUvO7mx4Zz+cCpFN2/Q+YVP8Rm3CIAzZ85w+vRpJk6ciLt7w0KRNdU1zHBdAMDGlOUo9BUN+oiIiNShUWtY5P8OyVdSeevQYvz6t2nQ5+LFixw+fBhnZ2cCugawcuTXZCXc4qu4T7B1tiYkJISjR4/i5ubGhAkTapO7lBanE3bmA6IjNqHV3OXuLJHQ3GsE7bstpqlTl4d1qX+Z/4Zg+eXhImihsgDKb0PFbd3PygLgrlugb1YnXoxtdFYZqZgSVETk97h06RIrV67kxIkTaPSlWHX3JlVWQqVahZOJkoV+PjzTtT9Kp06gtLvnOKsvFDPn5zwCXAw4/qw9BgrdCm55aTbfr2lHjaqc8S9cwtKmxe/OqaqskqDXN7Bj63bOFFyhgupG+7X082Lm3Lk8M2Yqxkb3x/KqVqs5deoUQUFB7Ny1i5Li4nv2dbQ3oGtAL2bNeZkePXogkUjIz8/n8OHDHDx4kODgYGpqalBI5XSpcsbfvBKl03W0WhWmTZvTduwiPAdORa7/5wRHaZWWD08VsuxsESoNjGxjzKdDrHC1FF8wf4vHSbDk3Ypi+1cdUJo4MGHWFfQNTOu1r127lrKyMhYtWtTAInfl+w8J+/o1qjsYo5ZWoih+j7lrXq3Xp7Iwl/3ze1OYGo3/7OW0HT2fgoICvvjiC3x8fBgxYkSj8/rxo318++oOXvlxLgGjOt3fixYR+Zex44O9fPf6j4x6ZShTPxzboD05OZmtW7diaWnJjBkzMDAw4OrxKJb2+5ge4/xZvH12rQXm8uXLtG/fnkGDBnI1dCUXjr+BRl2FfbMuODXvh5HSlqrKQrLTQ0iNPwiAX9cFdO33AfLHeNH+vyVYGkOr1lle7hYx1Xe/WEjA0LK+iDG0rOe+IiLyX0UQBC5cuMDKlSsJDg5GrVRg3tWTFKEQtVZLW2srlnRox5gug1A0bQcG5r853v6YcoZvycHNUkHIHAesjXUrRFqNml2b+5KZeoZBY4Jo0abhF/rdc8o+m8jqRZ/yc8QRYrSNu2gZGunz1JSxLHjhJfx8/rw15c9QXV3N4cOH2b59O3v27KGqqqrRfhLArbkzI0eOZd68ebVBzcXFxRw7dowtW7Zw+fJlAFqpmtKjiT4OjtGoq4oxtLCl1VPz8B4+EwPTP2fmT86vYfGBfH6KKkdfLmFRDzNe6WXxp2vd/Fd4nATLT5v7k5Z8nLHPXsC+mX+9tqKiIlauXImvry/Dhw+v13YrOpQ9s7tg1dyHDEUfBJvlWFh1x8xlAWlpaRQWFjJo0CA6duxIVdFt9r0USHF6HE9tuIJV87Zs2LCBvLw8Fi1ahELRUOAWZBfxdLMX8RvQhrcOLHqg90BE5J/Mzah0XvJbir1HE1ZGvNvAIllRUcGaNWtQq9XMmDEDa+u6uJZ3hi7j0oGrfHrhTby6eKDRaNi2bRvJSdE4mBygrCgKcysPeg5eiYvHwAaLFgW5Nzj68zPkpIfS1CmAEVMO1csc+DghCpbGUFfXiZfyXN3vNRV17RLZnXiYu0SMvpkY1C/ynyI4OJhPP/2UsPBwNJYGGHV04aa6CIBejk1Z0qkDAzoOQmLXRud++TtEZFTT46tMDOQSQmY74GFTl/HkwvE3CDvzPj6dZ9Nr6JeNHl+dVUrwZ/tZt2k9h0suUkplo/282noxd848poyfjFKp/AtX/vcoKytj3759bNu2jcOHD6NWqxvtJ5VK8PNrz/Tp05kwYQKmprqV84iICL5Yv5pj+46gFbQ0UZsxwMsJD+sY1AUZyA2M8Rr6LG1Hz0dp5/Sn5nYysYIX9+YTlaOiqamMjwdbMcFXWeuSJ6LjcREsaUkn+GlzX1r6TGbAqG8btIeFhXHo0CHGjBlDy5Yta/cLWi17ZnfldtwlnlwfycwOK3AeehhH10x+PGJBTI05lfaGCBJQGimZ3GcYS3r0Zf/sLti37cHQz08RGhrK0aNHGT16NN7e3o3O791hy7l04Cpfp32OlcM/x1deRORhIQgCi7u8Q0J4Mp+GvIVnp+YN+uzatYuoqCiefPJJ2rZtW68tPTaLOa1fpWWABx+efh2JREJZaSGbVnREqEnCxWsKQ0avRaF372ewRlND8JElXAn5nKbO3Rgx+RB6+g//2fh7iMtnjSHXB1NHsG8H7gOg7SRoMxGa94cmvqBsAlWFkBsFqacgegdEboH4A5AZBoUpoCp/1FchIvLACA4OZuy4cVzIiIEBHtxuZ06auohRHm6ETZrIyZc+YOCw15A4dv5DYiW9SM3Qb7JRa2HPtCb1xEpK/CHCzryPnUMHug9cVu84TUUN6Vuu8nGbefg7+NB3xQR+LDndQKwYGOgx6ZkphIeHcyPyBrOenflIxAqAUqlk/Pjx7Nu3j1u3brFhwwYCe/VC8qvgZa1W4NKlS8ycORNra2sGDx7Mrl27aNu2Ld98tYlz4RcYPGEYpXrVbEm8zoehcq6bDkNt4UzUzs/ZPqE5pz6YQkHy9T88t97uRlx50ZE1T1pTpRaYHJRLwJpMwtIatwiJPDoEQeD8sVeQyfTw7/O/RvvEx8cjk8lwc3Ortz/xxHZyb1zEa/gsPtyVx1X5efaG1qBSS+nZq5rS1qZUWxkjWBpTqKdi5flddP5yKaU9RpMdeYbk0z/SunVrAKKiou45x75P90CrFTj53fn7d+EiIv8iLh+KJO5iEoNn9W1UrMTExBAVFYWXlxdt2jSMa2nm1ZTeU7sRfTaOiCPX0WrUnNr3DEJNEjXybmQWdUImbxiAfzcymYIeg5bjF7CQrJvBHNk1mcfRlvHQLSzz5s1j79693Lx5k+vXr9d+6SUkJDB16lTy8vIwNzdn8+bNtas2Li4uGBgYEBUVhVyuiyfp0KEDn332GYGBgb97zgeyGiYIUF1yxxKTe8el7FdB/XJD0FPetRnX/1tuKFplRP5x3Lp1i14D+5HkKkFlLENfJmOadwsWde2O+y8Zv6R/PAi8uFJDt7VZROWoCJpgx1jfOiFRWpzO96t9EQQtE2ZF1AbZFwdnELbyMJv3bONAzUWKqWh0bE9vT+bOmsvkSZMf+1SPOTk57Nixg83fbeHKpYh79nNycmLx4sU8/fTTGBkbcaEsmh9eXMv5/afJlhUilUgJ7NiOTiZ5GKSHAtDMfzA+45Zg79PjD2cWK6jQ8M6xQlaHFKPRgvBJw4fpf5XHwcKSGLOb/dufwrfLiwQO/rxBu0ql4pNPPsHFxYVJkybV7ldXVfDD5BaoqipY3fkotzbNRVOdipN/D2pUJ3DT5mHUcSDn9D4lpdiQ4XY3CTm8gNs2EpBJeaHsFgFyCWO+jWXbjp2kp6ezaNGiRrMS1ajUPO04D2NzY76K+0QsWCoicheCILC46/9IikhlY/KyBlbI8vJy1qxZgyAIzJo1q94iW1VxPrEHNnLz/B5uXrnOiYvDsHFQMOLdUhITf6JF2wkoLKZx/vwFRo4cqXvXFgTd+2pJBpi7gJFVg/kc+nEC8deDGmQbfBx46NHko0aNYsmSJXTr1q3e/ueff57nnnuOadOmsXPnTqZPn05ISEhte3V1NZs2beL5559/2FNuHIkEDMx0m+WdLCmCFioL60RMZQGoynR/NzqGFBS/EjG/Fjayf3chIJF/Fmq1mudmPkdiMy01xnos8GvLkh79sWseAGZOf1qA12h06YujclR8NMiynljRqFUc+GEMVZUFPDFBlxFM0GjZOe5LPt75BZdJbHRMPT0Fo8aOYfYLs+jSpct9e0nSCmqyS0+RV34JudQQuUyJQqpELlWikBnrfkqVd+03Rib94/9/mzRpwrx585g3bx4pKSls376NDRtWkZpaP9NYWloac+fO5e2332bOnDnMmTOHVza9y7HUC2RPOsHpGyGcDLvMSaCNV0+6NQVN6CHSQw9i27IzPuOX4Bww/Hczi1kayVg53Jrn/U15aW/eX7llIg8IQRAIP/sBMrkBHXu82mifpKQkNBoNHh4e9fbH7FtH+e0Mzrd5m+S9H2NQnYoUU8JP7UNbVEEE4Hj1GMeDDZl/yog9cc4E9l1H/t45RDuoWKe0Q5uXhPdPq2jduj+pqanExsbi6+vbYA4KPTmBkwLYs+IwNy4k4B3g+SBuh4jIP5JrJ2OIC01k0Au9G3WZPHToEBUVFYwcObJWrGhU1UT9tIor372PqrwYhaES94Cu3MxNp8ahiMTE6xiqLWjfdj7KZt6EhYVz9uxZWjVRILkdU/c+mh0B1i3AoRPcscBIJBL6DFtHbuYlzh1ZhKNrIDZN2jaY16PikcWwuLi4sH//flq3bk1ubi6enp7k5eUhl8sRBAF7e3tCQ0NxcXHBxcWF//3vf7z22mvEx8djZGT06C0sfwatRhcDoyqr22rK6/+tabwWBDK93xY1CuM/tZotIvKXEQTee3MR74UfotrGgNe6duP9ya/pXCT/0nACz+26zcawUp7tZMK6kTb1xMWZQwu4cmEF7QMW0X3gp6hLq1nTaykLLy9DjbbBeO6e7sx6YRZTp07F0vL++MsLgpbc8hCSC4JIKdxBpToXFXIkCMjQIkXgt+SQVKKoFTIKmU7cyKXGtb8r7hI3vwidX0SPXGqMQqokLjqNTV9+wcEDYeQXNfy6NjA0YMb0GcxcMJsElyLKtiUhvBTFkZrLnDOOQyXU0MTWht4trHHOvYC+UIVZM0/ajl2ER7/JyPV/211Adx8EcXX8Lh71MyUt6Tg/be73mzFde/bs4erVq8ybNw8LCwtA97KzfbwbBRUa3pDPRXl5NdUlWgrKbzU4vmULe86H3mDRsWq+Di9lpMMtQtdPIbetKVqZwJKybJasj+CLdZtwdXWtZ8W5m5tR6cxp8xr9pvdk3sYZ9+8miIj8w3mt1wdEn4tjfeJn2LnY1GuLjo5m586dtGzZktGjRyORSFBXV3Hk1aFkRpzApIkLHWe8j2uPkcj09LketpMT+0ZTVWCJZXwxhkorhq8O4eL1WC6EhjO6vTneDiZg6aFbXLx1DcqydZ4+zj3A3Ln23LcyLxG0rjO2Dh0Y++wFpI/JO+Zjka83PT2dpk2b1rp7SSQSnJycSEtLq80b7+fnR48ePVixYgWvv/76I5ztX0AqA30T3XYvNCpd3MvdIuZuYVOaqbPgNIbCqE68/CJoDC3ApKmYzUzk/lBZwPEf1vJh8AGqHY2Y4NeV957/HBopGvdH+ehUERvDShngacjqJ+uLlcSY3Vy5sIKmTgF07fcB1RklLAtYzNK0DWjvSkMul8sZNWoUzz//PD179rwvL9WCIFBQGUlywXaSC4MoV6WhQkaqwpdret1IU9d3P5MjRSaRIEeCXAIyftm0SNHqfmo1SLQapKiRCpVIhBKkaOr1kSHU/S788ruAVKHFcr6WKS/YkfdjEad3VpOeVXcPqiqr+PLLL1mzdg2jRo1iyMvjqYjpwtgXXRkXlMVJyxiOVcSw7dwNDA3tCWztglf2VYo/e45Lm5bSetSLeA+bib7JvTO4iWLl8SL87EdIpDL8AhrPviUIAgkJCdjY2NSKFYD4I1uoyM9il/VsTC9tQhCkFJRnNzrGjbhshgzqx/6Dx8gp1bAr1o7Rwxdz6sf3KexszXpDKwb8/CXu7m1ISEigvLwcY+OGKcGdWzfDzdeZCzvDmbl6qliTRUQEiA1J4PrpG/SZ1r2BWKmoqODgwYMYGhoyePBgJBIJWnUNx98eTWbECbyGPkvAvC+Q6elSEKuqSwk7uwBBo0/E94G8/s0oLq6ayKGXB9Fv5qtclEJYlgzvgRPrag2aOUFBAqRfgKSj4DVcV5cQsHPoQLuu84k4v4zIi6sfG9ewx0KwQMMHYmOGn/fee4/OnTvzwgsv/OZYy5cvZ/ny5bV/l5WV3Z9JPkhkemCopxMajSEIoK68I2TKGxc15b8qUifT16lmc1cwdRDryYj8eTQqyLpMRlQwEzd/T0UzIwLc2vDN3BUNgsT/DNuvlPLa4QLaNNFjx6QmKGR1//+LCpI4uvtpDI2sGTQmiMrIfD7qvYgPirch3CVWXn31VV566SVsbW3/1iX+QnFVfK1IKa6KBaBS3pwE44mEVJdRrqnGWCow2CIQhUROjaCmRqhBLWio0ep+1+371e/au/oJNdSgRkXNb0+mMX1gDEwD//FpDDsQy4kgLbF3ecVpNVp2/LCDHT/soENPf3oufZI241owYpYFQxN8ifQr4KBpJIfCozmEAR29A/AtS6Vi/Wtc3foBLZ94ntajXkJp63hf7qfIgyE3K4L05BN4+UzCzMKl0T5ZWVmUl5fXc9PSqtVc/PYjyqRm3ExPoaKkiMLCwrqDpHrYePUj/+ZltOU5AISEhjNwQD927jnIk6V67Mzsw+gulzgce4r8Fqa8eewHViwYSHx8PNHR0XTq1Hi9lZ4TuvDNkiAuH76G//D29+1eiIj8U9m36igAI5cMadB26dIlKioqGDFiBEqlEkEQOPPpDNJC9uPRfzLdF3xV7/l74fgblBan4+K8hJPFWSQlmdJ17kourJrHha8/omX3eUSl3iavqBRr6zuCRSIBK09dxtuYXXDzHLR8snaRu0vvd0iM3kXIiaW09JmEgdGjz/L3WLzBNmvWjIyMDNRqda1LWHp6Ok5O9VNyurm5MX78eN57773fHG/BggUsWLCg9m9Hx3/BA1gi0VlSFEa6F5fG0GrqxEtZji5bWX68bpMqdIrawlVXXVwmrnKJ/AaCAIVJkB6CqrKUoat3ktvMAFeLJhx4+Uv05H/98xOcUsm0Hbk0NZVx4Bl7TA3qvnjVNVUcCBqNqrqEJ6ccRnW6kvdHv8yKmt31xnhpyZsMHTuDxOxqErPT//JcaoQsSoS9lGj3Uo0u25EEK7IkY4mQGBOvzYLKfJrSlOGSQPwFf5pigZez9e+M/NsIgoAGrU7AaNX1xU8DwaP7vVpQ8WPeIc6WQNJIVwaNLOPJo2c4ug2uXAPtXWs8l86EculMKDaejgx6azTjLrWh/XoZHQwGUPT8BH4uDebwkSOEa7W4OPjiryilImgZUT+twr3vRHzGLcbCpfFUtSKPlmvh6wBo1+XFe/aJi4sDwNPTExVqblNM5on9qG6n8LPeU5Qnn6WouKS2v1QqZe+KmQwZOZHk3Eq6DR5Hdo7O8hIeHs4TA3rzZdBRAreoyPCdT9NL59GWaDhrasaJk18jl3sQFRV1T8HSfZw/3ywJ4sy2EFGwiPznyc8q5PzOcHz7tqJZS4d6bVqtlsuXL2NiYlKbFSzhyLckHPkWJ/8h9FzydT2xkp0eytWLX2Dv1JXBk97hh5df5PTWCzx1bg5Fl38i5vxpnJtHAM24fPkyAwYMqD8ZQ0to4gM5V3WZb+10MSsKPWO69n2fwzsncin4U7r1//CB3pM/wmMhWGxtbWnXrh1bt25l2rRp7Nq1qzZ25dcsXboUb2/vRgtV/eeRykDfVLeZNAV7P10ms8IUKErRvYAWJunqyJg101lezJ3FwH6R+lQWQNp5nX+rTJ/p20OINFNhKjfi3NubMTP660Wl4m+rGL4lB4VMwv6n7WlmXv8r6Myh+dzOvkKnwKXI91nwxoIX+YpDte0SwNZnNJ+fkPL5ia//0hxMTMro4BdDp45ReHroikpWVOgTGuXHVY0LNS1rUFgWI6hLKLliScGpJkQnmHCMZCAZgIFd3XnnuUA6tXb4jTPdG4lEghwZcokMwz9hqOpl5s+54nA+yVzP0eoM7AdPZObIZhQd+56936UTGg6qu4w3t+Mz+Pa5FeywMaX/jEG8dKoLZitzmd2+Bws3zeGHkD1s27aNoMwKzE096OqgR/H+b4k/vBmnLkPxHf8ydm0CRJewxwRVdSlx17Zh29QPO4cO9+yXkJCAobERhY4ajnOaSlTkb1+LNXIybyVRWFiIoK3LaLn2w5cZMustkOvj5gDXIq8Q0NWX+CSdpeXa9et88vJzPDt1A+vCYM74eez4+j2qu1jzSUwEq4b2JT4+ieLi4kaz8dk0s6JV9xaE7btCRWklRiaG9//miIj8Qziy/hQatYYhc/o1aIuPj6ekpITAwECkUilF6fEEfz4bY2sHAl/dglRe98zUqFUc/3kGMqmCvsM3oG9oQLcxnTiy4TSpR/fQZcR4CoqquHlkE9b+zxAZaUifPn1qwy9qsfeDgiTIuqxLInWnFEGLNuMIP/shV0NX0q7Lixib/LV41fvFQxcss2fPZs+ePeTk5NC3b1+USiWJiYmsW7eOadOm8cEHH2BqasqWLVsaPd7GxoZ58+bx5ptvPuSZ/0PRN9Wp5yY+OstLUeodAXNT97tECiYOOsuLuUtttgiR/yB33L/IjQIEsG7J6rMxfJ97HblMxuk3N+Fg+dfdr26XaRj8dTZFlVr2TWtCOwf9eu2xkdu4Hv4Vjq69sd7pzxtfvcpmTtS2SyWgcBlGqdKXucPb4eZwD/fJxpCWoVCeQWF6DJnRJSQSDYJWH1VJH9KrO3LdsJrUznEgqcCsxgSv2wF4FflhpDSBJ+qGEbRaLoansOd0LD3OxNKvsxuLJ3WltYfdX74vfwZjcyO6m3XE37QdQbf3sSbne1aUXKVDn7F8+tRwwna9zsFdwZwN0VJ+V6hN1e0S9m78gf1Gu+nS2Z95V7rRdGgu017uzfzzL/Ljnl1s2rSJgzduclTuQCcXc1qfPkJayH7sWnXBZ9wSXLqPeCjX+CD4K+n0H0firm2nRlVGmw73zpZZXFzMbUqwebYlwdIbGKGPU4oJstQwjknakxF7DY2mTqw8PW4Kzy35oN4Y1rZ2XAiNpGN7R1LSdAp4//59vN5hI+aGE/hZ0g8v5x+4djOTPDclISnBWGHPjRs38Pf3b3RePSd0IfpcHBf3RNBrUsB9uBsiIv88alRqDq87ia2zNR2HtmvQHh4ejlQqxc/PD61azcl3J6CurmDgh/sxMKufhvjSuY/Jz43Gv/c7WNl6IwgCgRO7cmTDaU7tucnTy6fS93/D+HGaN4q4Q+S1bcqNGzca1nORyqFZF10sS2YYuAQCIJFK6dLnXfZvf5JLwZ/Qc9ByHiVipfv/KjWVOsFSlAIlmYAASMDE/o7lxUWXiUzk388v7l8ZobpsdkY24NSN8wmpBH74LBq5hB9nfsTIbgN+f6x7UFWjpc/6bC7crGLNk9bM7FJ/FbYg9wbb13VEoTDFL/gtlh3YRhBna9tlErDwHMywMZP4aP4wbCx+/7Op1laQVrSflMIgMooPohGqkUoUOJgOwN58FNe0JvyYf4yEqlQAOit9GGczlEAzfxQSORWlldy8nk7y1TRSItNIjUwj9Xo61RX3yOj3EJArZDT3c6FlgCctAzxo4t+E79Q/syv/MAICo6wGMrQygOM/fkh46AFOn68iv6ixgaS4OrrzdHFPBtp1wHPjYJT+9hw7dowNGzbUppRv6WCJj/QmngZlvHDmn/uoOHv2LG5ubnTr1q02OyVA7969mTJlSm06/WXLltVLp38vHtUzZdvaDhTmxfHskiz07pHE5WDqOZKdSpBKJLSXuONHcz58/S1sg9+53w06AAAgAElEQVTn9WgbCvLr0uxbGDUhtigGa8EUbUUN5XrpZJefokqdi1pbSXpIBs888y1Fpbr+EomUWSt2szqzFTMdY9n9ybMUBlijb6DHvOZDae7kwrRp0xqdV3FeKVPt59Kuf2veOtB4sgARkX87p7ddYNnEtUz7eCwjlwyt15aXl8fq1atp1aoVo0aNImbPVwSvmInP+CV0fv7jen0Lbsfy7aq2pGRbcfKqLSV5xZQUF2NtZYm8RA8XiTv7MnYjV8i5uu1jwta/QmmLIVh3Hc3UqVMbTkwQIOGgLsGT14jaAHxBEPh+tS9FBYlMX5SG4a9qtzxMRMEiAupqKL6ps7yUZNQVvzS2u2N5cf3tDGci/1x+5f6FQyew9iKnMA/3WYMpV2hY2msy/3tm/l8+hVYrMH7bLXZcK2dRDzM+HVo//qNGVU7Qus4U3L5Bq7MLWXXmHPsIrW1XSCGgax9GjBvDvFnP/qZ7kkarIqv0GMkF27lZtAe1tgyQYG/SCzfL8QgGnfmp8Bx7Co5Trq1EKTVimGVf+tV0RRulISVSJ05Srt4kO6l+EgszGxNcfZyw92iCTK7z48ovquRiVAZJGbrgZXcnSzq3csDS7AG4vAhwK/U2sRcSKS2oSyRi726H7XBbrg9LJMkkHROpMTOsx2AWLiXm8g8k3jjGqfPFZOQ0MqYEjB1tGCrvwoJBT+P30SDkJvpcv36dTZs2sXv3bmpqarAzV3IlJv7+X9ND5s+k0/8tHsUz5XbONb5f7UPr9jPoO2JDo33SyWOv9iKaompGGnfHQd+GmwUqvp3gxaWb+eyNvStuxdCAKX1nMaKdD+ZBSdwec5CSoREgr8tGKaggahN8sRl+Mco0dWiGfMZhSgRD+tx4hRPJlyhqacaTLn74KpxYuHBho9nCAN4Z8hlXjkaxJfsLzKzFZ4rIf49Xer5H/MVkNmeuxNSq/v+Bw4cPc/HiRaZOnYq9lTk/TPJAKlcw9rt4FEZ1NcryS4sY/aQnIcG3qapu/DwKhYJOvp34euvXuDk5sn1Cc6qqqsjuMIvZLy7AyqoR4VFZADE7wcIN3PrW7o67/gOHdoyjc+CbdOnzzn25D3+FxyKGReQRI9fXZYuw8tS5BRWn6ywvxWlQfku38m5krRMuFq5gcO/0pyL/EDQqXeGoW9f5xf0Lh44gN6C6RkWnxeMoV2gYYu/7t8QKwGuHC9hxrZyRbYz5eHDDyron980iPzca24tDmXvxBLHUVXnXl8GcUX0xadmNkcMHNypWtIKGW2VnSSrYzs3CXVRrCgCwMfbHzWIczSye4mLFTT6+vZ+wsl0A2Ffa0PlqG/R/lnEt/CohRRdqx5NKJTT1tKfHOH9cfJxwvbNZ2pvfUyxFxGbz9rrT7DkXz96YHMb1b81bz/akhcvfC85vDK1WS0ZsNjfOxxNzPp4b5xOIXHYdYZmAbW8TChdVsEL7DVZW5jzZoT9tjDvh6X2FWxlnOHYmi7jkuwYToDz9Nj+wlx0/n8LnekuWPv0KI6YO5/PPP+e1115jy5YtfPvtt/f9Oh41fySd/uNEbORWAFq2a2R1FCimnCPCFYQaLQYninEYrUuVumrbcZzLUjiYcFctBamE1vpd6XLUEKOkMFLWf4NWWYFJujc2h/qiuSBDq66hYvgNWvgHMyy9mt26pEZkZaYzIGEtRxxewizgaQzOn0PpYsjBtKu4O9sSFxeHn59fo3PsNqYzlw5GcunAVfpM7X7/bo6IyD+AnJRcos/G0WOcfwOxUlNTQ2RkJNbW1jg7OxO6ZiFVxXkEvrK5nljZcnYf855/mpLY/N88V01NDWFXwhjcZyDfB32P35SlnP98NkYZYVy+fJn+/fs3PMjQUhf/XJQK6qraEAGPVqMIsXTnaugqOnR/GYWe0d++F38FUbCI1EemB5bNdZtWrbO4FKboLDBZ4brNwKLO8mJo+aerm4s8Qhp1/wqoNf9qtVr6vjmddFUh7hozfv5g/d863frQEj4+XYS/kz7fjbNFKq3/WYmJ+IYbV7+lOM2TJeEp1FRF17YZyeGdyX0odwqgbdu29bL9CYLA7Yowkgu26wo61ugyGlkYtqW1xSLcLMdxq0DCtwk/cUw2n1KDciRqCcoT+pj8YID+VS0pJGNoYoBLWyfcfO8IE19nnFo5YGBUP77m9/DzsmfvivGERWXy1vrTbD8SxQ/Hopk0qC1LZ/TAvdn9SwkplUpx8nbAyduBAc/2AqDwVjGxFxKICY4n6oNYIlrGUDCtiI1OP2GUrof7kaYYVT/JyN4FyIZHcOBoHFdidB+H2nuaVcrVrDBGxkzC/Ht7np0ympeemM/ixYuZO3fufZv/48QfSacPjz5VvlarITbye0wtXGnq1DD+Q4OGI1yhmhpKdibR0bYVAJnFanLPfU9MuhT1XXErJl6uNIuxp1n/KjLf+waNTIPC9V1G+L2CYoQcQa3l9g83SJp3HD1zd7qNX8e1ZEi6k0b7aNAaXOYO5IdcL7r7ticsKYqy1npcLrmJz40b9xQsHQb7IJFICNt3RRQsIv85Tm/VLYz1mtKtQVt0dDRVVVUEBgZSkplE1E9fYOPVEY/+kwHdd9MrP6zmkzffgYT6YsXA0ASliZKy0iKqKitr99eoa8i6ncPY0WPZsGINSjsnhIwQIi+H07t374bB96BbuC7N0gXh3/kekUpl+HaZx+kD80iI3ol3uyn365b8KUSXMJE/hlaj+xAXpdSpb9AF9f9ieTGyEcXL40xlIaSf1/071rp/tahXXPTZNW+xMWQfZiUCsesP0cTur2cFORxXwdBvsnEylxM6xwFbZf0vx4T4UPZt6UFBmSEffWeLprCuqIhSAe+O8kPuP5mSsgrmzJmDqakpAPkVVzmVPIaS6gQAjOXNMSsciZDWkZwYNeEl17jWIp6iLuWgAFmOFJNdBrhebkoLZ7dai4mbrzO2LtZI/0Y9mXtxITKdt9ad5nhYMjKZhKlDfHhjeg9c/0yigL9BdaWKi5ci+Kp4O9cc4kENpkEGmK83QlYmxd6nBJsOMZyNTOTiVahRNzKIiT4Sbxv8Bzbn+X6jmBow56HM/UHya5cwDw8P8vPzH3uXsF8q23cOXEqXPv9r0H6eG1wlhSYZBkRtOseECRPw8PBg/u5s7L/wZum5ElTqO65eNsa0UwbSBTc679Jl2nN2X0eUiQUdcKcznrXjqnLKiJt6gDCbN0g0SeSzTaC+k4XOxcuH1KE/MtYyijNfzqY4wAo9YyUvugzg1ZdfwcCg8QQuSwL+R+q1dL7PWyMWkRT5zyAIAs97LqaytIrNGSuRyetXj9+4cSO3bt1i4cKFhK6cRfyhb3hi5RnsfXogCAIT1r5F0Mq1EJ9Xd5DMENxGgYmr7jkuCPRvKSUieAN5N+u+n4z0DGlqYceaeRNJOfo+Jc37M3jhisYTjGhq4NpWnSdNyydrd1dVFrLhk6bYOXRgzIxz9/3+/BFEC4vIH0N6JxWyWTNw6lZX56UoBW5F6jaFsU64WLWARxiYJfIrGrh/eenEyq8ywi0/8B0bQ/ahV1zDz0tW/y2xEplVzZitOZjqSzn4jH09sXIrv4zlW46hyHgWI7maL7aa1hMrZnrwel9H2j/zPifPX6RXr161YqW4KoED1waRtM8CbfIMihPMyIwuoEqaQdmQJEpGV1HjrltJdkizJbCsE4ObBdL8MxeU5g8viURXn2YcWzOZsxE3efOrU3y99yrfHrjGM8N8eX16D5yaNEz9ej/RN9SjR3d/euDP1fIbfJT+FVGT4tGMleC024b8DXKyI/1pZu9Bh8FXuVGUTXA4lFfeNUhpNcLFDEIicwj5OZ6pV//5guVu/kw6/UfNjTvuYF6+kxu0ZZDHVVKwwxzV+bRa17bbZRrOHj2IZ3oRqrsEqYGnA01CzbB8PgaNtoqBniewNelONueJIAkP7LFE566i10RJq/2jKF4QS6n52wzqacy+4+UApMZG4tT5JIcN+tGuuRtX0nIo9lBwvSSDhISEhpmI7tDxiXbcuJDA9TOx+PVvvI+IyL+NuNBEshNvMWLBoAZiJTs7m8zMTHx9fakpukXC0e+w9+mBvU8PAF7Z8RVBq+qLFalcnzGzP2HsiL64OVhwJeQ8u8/EsyeyGszHolewHlWpLltGhaqSmwWZvLl8L8/522Gcfp7Y6GuNCxaZQhfDkh+ni2kx1HkHGBha4NFqFLGRWym4HYuljdcDulP35v4vLYr8+5FIdX6OTgHQZiK0GK4rNiSR6lLi3tgFycd1H3aRR4cg6My60T/CrWu6OCSvEeDco4FY+Sn8BAuDViCrUPNOr6kEduvxl0+bWaxmyDfZVKsFfp7aBC9bXZ2fzNwSXlp2GNdhn3Mr5g2U8nw2braipKBuJcjKUMorXZRM/Gw35y9dxdzcnC5dugBQocpiy/ejOTi6MxEftOdqUBVZ0mJqlknJOlVC/qvl6LnrMdFqGPtabuDI8C28OnE2Pj1aPVSxcjc9/Jw5tW4qJ9ZOoXNrB9bvjsDjyS+Y8/FBMnNLfn+A+4CvcUu2tVjB+04LMDQ04MaYNKqPS3Fb6YBt91bIaqbTRvosM/s58WR/sPy1lqpSQ2T2Q5nrg2L27Nm1VpG+ffvi7u4OwLp161i3bh2enp589NFHbNq06RHPtCEatYqkmN3YOXTAwsqjXpsWLeeIQYaUvoIPaak3cXBwQF9fny8vFNP21h4Opt1l9TY3oKedPzKNFBPf6/g5vIe9SU9kSAmkDVoEThOFQJ3jhVQho+vnb2CMA728tVjb1r1sqYO/pLhKi+/wWRhkVSLXagkpSiQ2Nvae19PpCV0q1/B9V+7THRIRefw5+W0wAL2nNHTpvHz5MgAdOnQgMugTBI2adpPfAGDTmf188uG7EFcnVgwM5Bw7foLtn89hRKAXbd0smNqmmJ8XuBH6zTO0b+OJymkqsrusnDU1NVwsiCIozASZqpy0MzvQarU0itUdK2t+/UQrrdvPACDq8sa/dhP+JqJgEfl7SCSgtANHf2g9TidezJygMFmXbSL5BFQ1lldV5IFSWQgJByDlhC4WyakbeA2vjVW5m5CESMZ9+SpSlYYnjLxZ8uKCv3za0iotQ77OJrNYw9ejbenhZkhKZiEvfLAft+GrWLn9IoNsL9LCIoaNW41JuV33JWxnomCRr8CEj3dwOTGb6upq+vXrh0KhoCAvk6UTp3NsRhuq803pvKUj5lG2xK7LILlLJm6mTrzdbB6n2m7jVaeZuBo4/sYsHy4SiYTeHV05t/Fpjnw5iXYtmrD6x3Caj1jFS8sOk5P34OMhpBIpw636ccB7I9PtxpBJLie6R5I9pxxpoBrrgc0Z+9pPzJ/3M4vmdmLyCHB4OKVlHgqrV68mIyMDtVpNTk4OiYk6i16LFi0ICQkhPj6eS5cu0apVq0c804akp5xEVV2Cu/eoBm03yKCAMnxxpTKnhKqqKpydndFoBbaG3kISf4QS1V1e363scK0wQSLT0sq/HW3t/s/eeYdHUXVx+J3dTe+9914IJKEXAUV6FQQ7IGBXEFT4rCDFioIFQQQVVFCRLh2kd5KQ3nvvPdn+/TGQJRIsCIi67/PsQ7hz586dSWZnzj2/c85LbZucsaYTXpRQQxpF7Y4jkUrpPOhpBMsWxpvqvCLFWYkY5B7irGFvbI1NsChpplRRz8HEM9d8GfIMdcPJx4GzO2KvGTOkR8+/CaVcydGNp/GO8MCns1e7bXK5nISEBFxcXLAxlpD28xocgrvhFj2I+PwMZix8od2CkbER7Nr5I3f2v8LwqUwFjRKcIujRyYPvV4+l97hQ3K3vQ3JFkVatVsu+ikwuVhpiXBdLallWxxM2dxbl/lUZoNXdx27ed2BjF0hK7NeoVNdIT3YT0Rssem4cl40X/6HiSr6lhxjgnfQj5PwCrXV/9wz//aiVUHhGNBYbikX5V/gkcAhtF6tymfSSPIa/9ywqpZKgYgPWfvTZdcd0qNRaJn1bxsUSBQuH2NLNTsGU+VsJuOdjVm2+QGd3O5Zqqony2sVn38jIKmlq29fD1ozZYUqGP78UQ69IYmJi8PLyIiQkhBNbTvBk2Aukb7LHt685Pc/3YWOn3SQo0xlhM4D1AUvZFPQJE+yHYSq9fQufCoLA4J5+nPpyGj8ve4BwP0eWbziD75jlvLBsH+XVTb8/yF/ETGrK865T2RayijutepFknsP+uxO5GJDLtv3bKGpo4Zm5B3hszUFe/GwIjz8oIdDnpk9Lz2+QmbwZAP/Qce3aFag4QzomGBKFH7m5uQD4+PhwKLMFm9y97M29omaQuSG977qD8lOV2ITUMjBoLcKvvhO6E4gxhpwkFQXKdttCIycjCBK6DVRjZ6K7zywurOBkvorBYyYiyxM1hcfKUykp6dgrJwgC3UdFUp5XSV6iPrZUz7+fC3viaapt7rBganx8PAqFgq5du5KwaRlqpZzIh19FqVYxeMHzaI/rjAqpBN6aP4z+d47QDaDViHJvmQlqW19Oksoe4/M89KY30eO701MyGHzaJ31Zl6ZFnZfLL3W7SKf46gkLguhlUbWIWWPbmgXCuk6npbmS7JRtf/3C/En0Bouem4OZIwQMg6DRonysOgOSfoDcIyC/NVKY/xRarejVSvpBjCcytbum/OsyZXVVDHnnKWqbG7FPaeCb5Z9jY3N9QeFarZZnt1WyO62ZMYEyEg8cIuTeT/l650X6dfFi030DeHd/BfLIr/nkWw0FpTpRvb+bPTODmugxbhrh42eyZ88eBEGgd3Qf3rnvY96+ZyXKZg2j3rNi0NZ7WS/fSqiJPwfC1vGO91wizUN/szbL7YYgCAzvG8C5dTPY+v4kAr3sWPrNKXxGL2fexweoqm3+/UH+Ip5Grnzk+zqr/ZbgZexGvE8uB4cksa/xBCtWrMCqyIHxY7+h66frefrjUcx5TB8c/Xeg0ajJStmKnWM4NvaB7bbFk0sLCroTgCEy8vPF+BUPDw++PN+AU9q3FF9pA4c60t1VhqLOgODeAZgaul51PGMM6EUQLSg4S2a7beaWrngFDKXRPZn7pf3b2qtzLkLOUZpDJmHQosa6roW0xhIuJF285nn1GC1mETuzPeaaffTo+bdw/IczgJjW+0q0Wi3nz5/HyMiIID9vUravwtozGK9eI5m28gPKthwCue5ZOXYImPfZzfpYK47kPEJJwxG0NTmgbKLVKYTNknPEko0jVtwv3MF3H0zHRmGHu3036OzSNk6jSskP2RKMPt3OfuJIJO/qSbfJwtLaNYd2mYxEIiPxQse1oG4meoNFz83F3BkCR0DgSPHnqjRI/B7yjoHi1qYG/dfSWitWqM0+cIX8a2yH8q/LNLW2MHLpTHKrSrBKrWPJ0/OumYr0j7D0aB0rT9fjoK1n26p1fL8/kcE9/Ti6egrrfIJwePEkMXd9ywdb6ii9IslJp0BvnvKqJLDbHfR9fgWpqank5uZiVmPDG/2XcuKHc7gMyGf6ATO6Pv4Erxd8iJOBHZ/4zcfe4NZk3LpZCILAmAHBxHzzOJveuRcfV2ve+foE3qOX89pnh6ipb/n9Qf4ivSwj2RT8Ka+6P41gJOVsdCZ7usXwxaF1nPzxEGMMhuIx4mW831970+ei52qK80/Q0lSBf+g97doVKIkjB0tMCMEDrVZLQUEBzs7ONKulbI+vJj1ZZwwYmBhiEOiEUf5ZAPoOuveqY1Upa/m2YhtbCnaQWZbM9rpDlGtq2vUJi5yKVqtm+Dx/bKS6Wgwm5z9lU54FPSLDoaAVNVo2nt53zfMK7ReEqaWJPo5Fz78eeYuCs9tjCerhh6NX+7pchYWFlJeXExERQe6hDSia6gifMItDSRf5ZuEiqNE9A6LCYMz9gQR5PIqdaReyqtezO30AxwqfoBU5exwVlFNHJL7cQy+sMcPI0IB+Y6MJi7OFIE8EW109l2NFGipPH8MyX8kRksj4tafF0BzMXUQPi0ZnNJmaO+IbPJr87IM0Ndza2Ea9waLn1mDhKhotASPEF+nKFEjcCPnHQXHzpTD/ShSNUHDykvyrSMzOFjbxmvKvy6jUKiZ9OpfzOcmY5zQyMeoupk2bdt3TWLwjjxd/roLGWiqO7WbMHQGc/Xo6P79/H06fJJH7vyMk3X2URQfSqbzi/adHZATTnQtw9vDm7gU/oUFg28YdZH1XxuFlZ9HKmun+9lHuXW1LeOc3mZm7EJkg4xPf+Tga/Huy0EkkAuPvCiV+45NsXDIed0dLFq05hveo5Sz4/DB1ja039fgyQcp9DiPZFbqGBxxGU23dyME7EllntJMVq1fgn2ROV4tuN3UOejrmshzM71dysHjykKMkGn+kSKipqaGpqQkPDw82xjXikLaRzFqd9lwZZE+fMFsaEsRse2F9dbE6jeom5ua+w52JD/JW4Uo2VO5gf/FBdmXvZHzyU2ys2IlCI0rLfIJHYWxiS7n5QaZ6j20boyUvhprUE4SOfBLjCjkGag2H8uJobe34b9fAUEbU0AjSz2ZTU6aXCuv593Jh90VaGlvpO6nH1dsuBdtHR0WR+NNyjCxt8R/0IKPGj4Zy3YKur7cZE0fA8CFb6Oe9hpHBJ7knLAUPi2FkKg/wo8F7FCtTCMeT3gQjveLVvvfYaAyUUmxzvdH2cGsrPaEFfshTY/X0dsww4iDxlNJ+gQJrL9BeKmlxBQHhE0GrJTN5yw26Sn8MvcGi59YhCGDpJsrEAoaDiR1UJIuGS8FJsZChnt+npVqMCUrYIGZlM7EVkx149wcDk9/cVavV8tRXb/Fz3HHMylrppLXn/fffvy5J1Ym4fKKf3syrh1tB3sIIy0Iurp/G1qX30cXVjsRhP1K2NoGswXnMO7WHmiuUgAPv6MOjzgVYmJowZMkODC1t+fSF1Zx+O4najEYiJ1owYOP3RI/1JdrrC57JeZNaVQPvec8lxNT/T8/1n4BEIjBpcDiJ3z/J+jfH4WhrxvzPj+AzejlL1h6joenmBjlaySx42f1JfgpeQU+LSHI9K9jS+zRL4j4i50f9SvitRqvVkpW8GUsbHxycO7e1K1C1eVeCcAOgoEDUmXt4eLD2XAPEfdvW39BQBoF2dPKNpS7BHScfB2xdrAHIaS3k/rTn+bnmMN3MI3jXey77w75mXcD7DHK5k1atnEWFn/JwxgtUKKuRyYwI7vwQNZWpTF9zH5YSnZdFOPURx7XR2JkaYVbWTJminp9P/XLN8+s+KlKUxPwcd0Ovmx49txOX5WB9JnRv197S0kJiYiKenp60Zp+nrjCDkFGPM23x/2jJ0MV22dhYMm18M0Fhw7Bz1KUhtjYOZpD1e7iZ3Y9CWYRp+qtEKiyvOn7k3eFIpBL61bqDhQMSX52XJ65CQ0b2Lu684IWAwG5iaOWKuDdLD/HfK+JYAHwChyOVGZORtOm6r8v18J8wWFTXyNym529CEMDSXZQt+Q8FExvxxTthw6UK7DdfCvOPQ6uFhhLI2C16VKozwMIF/IdB8Dgx2cEfYMn2Naw+vAXLJgH7zBY+X/V5W42TP8P55GLumLmJGIMgZFIJPz5oz863xxAR4ERLdi0Xe6+n7lAe+ROVPHtiJfVXqP9GDBvKox6V0FLLna9toEluwwu9F3Dwo1MYWRjy6MYgvF/6DBeXcPr7/cTcvKVktxbwgtt0Blj1/NNzvWGoWyF3I8TMg9wfoPnmBAxLpRIeGh5Byo9P8+UbY7C2MOaVFYfwGb2cT384e9MzK/mbeLHabzEf+76Bs4k9CaEFLHPZeFOPqedqyosv0FBXgH/oPe0WFFIoQI6SKPzaVlLz8/MBaDJ24VxGGYX5ukBd63B3zCyM8LdqpC7XiJA+ojY9rSWHB9JnkScv4iW3x1jtv4ThNgNwMXQkyjyM552n8GDoZAY7DiSpOYP70p4jpTmT0KipABTV7uTJu3R1YbQF5zly7AT9+/VDWih6Vr46tv2a5xc9LAKJRKx6r0fPv5HWplbO7oglpHcADh7tVQFJSUmo1WqioqJI3LQMQSrDrE8/vlu+sq2PRCLhg0VDMTXREtVnzlXj58uzyQp6EAOvF9AoStmfMYRWVWW7PuY2ZoT0DkBWVItpQzCaMPt2XpbvKsrIf+o77tCE0oy8fVpzY2tRGlaXL76DXMLQyALvgKEU5R6hubH8Bl2t3+c/YbBUNKlJr1D8fkc9txZBEFMgB48Dv8FgbCXWC0ncAEVnQXVzpTD/CLQasUBn2jZI3wH1BWDtIxp7gSPFQp5/0Dvy9bEdvLppBTYYY3KulMULFxEeHv6npyRXqJi8YDua8AEIhsb8NNmVCd3FIpP1JwuJ67GOlrRq8maaMmPnfBqbdF909957L4+HamkuTKPrtHc4fUjFc11eJeNsNo49rHhyTzA1/q9jaRTA3X67eL/4W041xHKv3TAecRh3rSndXGqT4Pwc2OwNJx6BlA/gxEOwxRe2+MPxhyHtM6iOA436hh1WJpMwZVQX0n56htWvjsLMxJBn3t3NjEU7UKpu3HE6QhAEBlr1ZHvo5zzvMhX131PG5j+NLjuYLn5Fg5Z48jDGoM27AqKHxdLSkp/SwDJudbtFunJXYyJ8qtFmdAUgtE8ApYoKnsp6jRaNnBV+C3jEcdxVXlZP7HGR2hHkFsECr1lUq+qYlvk/1HauODh3IT1hI3PWvoq5ROfVFU5/hLrrNAwaVJi3qjiUHUuromPPoKWdBSF9Aondl4CiVf981vPv4/yui8ibFR3KwZKTk5FKpbhaGFAUcxCvAaMZP+sRNE26eJH777uHpqqfsXfujIfvne32r1WUs89VwFAjMNr+dXq4L6OuNZUjOQ+i1bZfpY8e3hl5k5xnOw0EE2ukvrr41tgKLYnlW7H7vh4/nMmiVBfPIgiil0XRAPL20s2AsAlotRqyUrb+1cv0h/lPGCwajZYBK4tJK9d/Kd6WCAJYe0PIeN6kEFYAACAASURBVPAdBIYWUBonelyKzsHfkO/7b0ejgooUMSV09n5orgL7EAibBH53/2ZAfUfsTzjN9DULsTE0w+BYPhPHjeeBBx64rqktWnOU5FYrMLNi/t02jA4T32bLNyYTf+dGNM0q0hdbMH31bFqadS/WkydP5rl+rpSc34tlp8l8+V4N37z2Ew7etgQ/6saAeWbkSV/G1MCFIQH72FR7kh+rdtHTIpKXPZ66tZnAlI2Q9RXs7Qc/R0Lax2DsCFHvwvBz0PML8HsUZKaQ9z2cnwm7u8OPjnBoBCQsgtJD4jh/EQOZlOljo4jf+ARDevmxZlssw577ltqGm2/QG0oMmeY8kT3h+qD7W4lWqyUz6SdMzZ1xcdd5FfMpp55mwvBEhljAsaWlhYqKCtw8PPnybC3q+B/a+rt7O4K1CVH+VWjTBwHg1duTp7LeoExZxWLP2fS17NrhHAQEovBDhQZ3Wx8+9HmVenUj83LfIyRqMgp5PVVVR3hy9GTdvHNP80NCM772psgKmmhWK/j+xJ5rnmf3UZHImxXE/5Lyl66XHj23I8d/FJNc9BnfPgawqamJ3Nxc/P39yT30HQDJ3iWkHdB5R0xNTXliSjhKRRPRfea0e/5p0XJYG49CIjCkxRNrzAhzmkmg3TSK6veRVL683fG6DhclpT6tamzV4ajDbIErYlnkCWS/cpB+8mCMMeQ4Kbq05lae4r+/loUFjUQqNbylsrD/hMFiY6ikvEnNgFXFpOqNltsXQQAbXwidAD53gaEZlMaKHpfiC6D+D/zuVHKdsZZ/TMyD7hwJne4Hr36iF+pPEpeXxviPXsREZoDh8QJCvP15++23r8sAuJBSzJKvT2LgH4GjmYQ5/a3RarXkLzpJ2v07MLAz4cL7hjz55izkzbqVoieffJKXxvch/odPyKsfxYYVGgqSi7nvtbFEzwrCrnM1Gs9PkEnMGRKwjwutpbxXtBofIw8+8H4ZA0H2p+f6p9FqoeoCnHkKNnvB6cegJh58H4G7D8PIixAyC2w6g98j0HMljIqHCSXQfwuEvgA2EVB2FOLfhIND4UcH2N0Tzs+GvB+hueh3p3EtrMyN2fnhAzwxPpqDZ3Po/egacopqfn/HG4C9ge3vd9Jzw6iuSKGmKh3/0HEIV9RFukguAgLh6IrPFRaK0sRCmS+VGedpqtf9TRh3csfIQEOvQHuKYwRMLU340Xo36a05POcymRG2A39zHn44Y4kpieTR16orDzqM4UJTIqedjZFKDUmKWcvc1YswEHRpr2tOfEXnbv0wLJODFtYd2XHN8btdqnqvl4Xp+behaFUQszue4F7+2Lm1//5MS0tDq9USEhxE+p6vML7TlnfePg9XqH1nz55JSuznmFm4Ehg+qd3+6RRTZKQgtKoVD9OQtvYeHsuwNArkfNFcqpp195R3Jw/s3GyI3ZvAB1MfAzMzDLyd27YfL1NRUHeCmk8Tr05rbuEqJvGpb2+wGBlb4ek/mIKcQ7Q0V/3Vy/WH+E8YLNrGar60XEl1o5yBq4pJKfsPvPj+kxEEsPUTDRfvgWIdkZIL4kt8Sey/03BRNIrxOwnfiXI4QQLuPaHTA+DWDQxMf3+MDsivLGH4+88iVypwSmnGTCVl9erVmJr++fEUSjVT5m8D1wCUUmP+d6cNJloN6VN2kffaMcw6O3JosZw5z89G2aorOjd79mxefWwS295YwLG4scTHWuEX7cOymIWEj/ensvkiTj03IAgw2H8XZVpjXsx9B2uZBSv8FmApM/+NWd0AFLWipGt3N9jTCzK/AEt/6PYx3JMPvb4Ax97Xlt4Z2YH7CIhcAoN/gYmVMPgoRL4NbsOhKR/SPoHjD8IWH9gaACcmQ/oq0SD6EzIymUzCinkjWDprMKm5lfSY8gWn4gt+f0c9/yhyM3YD4irmZWpppJAq/HDGHF1tpcvxK0crrZGl6WJGjI0MyTRXE+FdR5jdk2Sez8XmYVt+rNpND/POTHea+LvzkCDQGW9aUZJGEbNdHyXQ2IeVtTuw8x9IQfYhZNIG7h80SrdPyhayPe/FQK7GskHBsZyL1DU3dDi+e5ALLv5OnNsZp696r+dfRdyBJFoaW+l1z9UezOTkZCQSCeaNhTSpi7hgUU9psu6ZaW9vz/iRvjQ1FNOl53NIZYZt2+QoOaFNxlippleLPUikbdsMpOYM8N2AVqvleN50NFrx2SIIAtHDOlOUVsKgAHdsCUQZZNG2n1ID20yOU/DWaQKbHHHEigRyqaERpAZieuOGErEw9RUEhE1Aq1GTnXrtWLUbyX/CYEFiSMu+91lZ/RiKmlIGriomWW+03P4IErALEFP1evUHqSEUnxOzipVevOrm+UfSUgO5h8VzKosXA9y8B4geFacI8Zyvk5qmeoa+9wwltZVEye1oyinj3XffJSAg4LrGW/jFERJzqjAJisTFQsqjgYYkDP6B8nWJWI/wZdPsEl6d8RIque738tprrzFn2lTeHvM6J2MHolBZMG3pA7x36g1cg5w4dPwHnHp9gyCRc6fvZgSjQJ7Ono9Kq2K5z+t4GLn8xoz+AlotlB2Dk1Nhs6co6WrMhYDHYdgZ8RP4OBj+eY8WUiNw6Amhs6H/TzC+CEYlQs/V4DcVpMaQuwHOPQu7usImJzg0EhKWQOlhUP12mm9BEJj9UC82vzeJphYlA5/4mh/2J13XZdBze5KXsQepzAh37wFtbUmIhmk4nu36FhYWIsiM2JehQpaxt63dL8wDpBK6B7Ug5A5ELpMT/0AWphIT3vR8HslvpD6/kmDcMUTGRXIwlBjwjvdLSBA46moEQErs18x57/W2/hqlkv1HjtDJxQyhsBmlRs2mswc6HPty1fvKgipyLub/ofno0fNP4NTm8wD0GtfeYGlubiY7Oxs/Pz+yD66HcfD1Up2xLggC8+bNI/H8JxgYmtGp22Pt9j9DOi2Ckt5FdRhbty8mC2BvGkW40xyqmmNIrVjR1n5ZFha7N4GXxz0MDmYYOuuS9eysLEFeVUPpyov0IxQNWs6QLm608ugwvbFv8GgkEtktk4X9JwyWZrlAq/10FOlHeSdzLDalJ/VGyz8JQQL2QRA+SazcLpFB0RndS/4VRY3+MTSWQuYeSP4RqtLBzEnMmBY6Qaww+wdfJq5Fq0LO2A9nk1Kcw0iXSPKOxPHQQw8xfvz46xovJrWEt746jmuXaJrUUub1sSB94HfUHy3A6dkurB4fz9tTX0NzRTD4W2+9xZDwwczqupCcfE8Cox35JPFtxs4ehlQq4fDx7ZiGr0Ri2MAdPuuwNe/P01nzKVNWstDzeaLMw35jRtdJazkkfwA7O8GBuyDnW7CNEr0o9+RB94/BNvLGHlMQwDIQ/CZDz1UwKgHGF4vGTOgcsA6HssMQPx8ODoYf7GF3LzHQP28TNBd3OOzYAcEcXT0FW0sTJv1vE0vWHtOvUv8LUCqaKMo9ipt3fwwMRU+oGjWpFGGFKa7o5CVqtZrCwkJqLUNpqS6gtUEnzdD6WCKTahgbNYasMyXUTmuh3qSROW7TcDP6Y1kFAQyREYYnNTSRTwUBJt484DCaE1atSM1sSYlbR6eICLoFdGrbRxK3lqDIPhhXyJFo4ctftl1z/O6XZGHn9OmN9fxLUKvUnNkeg3cnD1z82t9rl+VggV5u5NVv5nga1BXpnptOTk6MGR5KZelFwqKmYWRsTUpzJsuLv2Jm7iI+yf+S1PxTCHW1aM06vo+7uLyGmaEnF4pepVkpFneMuDMUiUQg/pdknh8/BFONMwp/XTaVOrmWGPezFL53FocWc3xwIotSyqjVxbH8ShZmbGKDm3d/CrIPoVTc/LIU/wmDRSUoWb8njTzNHFRNcp5PeZiumZ8y8LMCEkv/gwHd/1QECdgHi4Hnnn3F/xeeFg2X8sTb33DRaqE2F1K3Qdp2MVWgtbdYQyVolPilcAMCyzUaDZM/f52jaTGMD+vHhW/3EBYWxptvvnld44lSsK0gMaDFORB3Kyl3bYmhJaUKl4W9eDdsPx8/ugitRpeZZPGbiyHGjLcnrUKpgLEz3Hj/3PttX97lVXlk8xwG5tX09PgYb5uJvJz3PsktGTzhfD8jbe+81nT+PFoNFO+DY/eJkqzYeSCvguBZMDIOBh8W41RktzAVlrE9uI+CyLfE40+sgsFHoMsScBsGTblioP/xB2CLN2wLghNTIO1TKDkoGjFaLdEhrpz5ajoRAU68suIQj765HYXy5mYQ03NzKcw5jFqtwDtgWFtbNuW0oiAUTwR03xGlpaWoVCoSipwRsnReDEEQSDdQEeDaRLT7TC7EJVB/Xwt+hp7cazeMP0snxDoNceQA8KTLg9ga2pHqZk9dTTalhWeY9+ZLbf1VNZWcUfphrFZjUSPnZHYCJbUVHY4d0icQYzMjYvcl/Ol56dFzO5J8PJ2GqkZ6jou+altKSgoSiQRt8THUw9RsWaV7DZdKpcyaNYu0i2KSE8suY5iQ9gz3pj3L6rLvOVhzguSqJH6pOs8Ezc+MTXuS4/XnrzqGgdSMnh4fodTUc6HoZQDMrEzxjfIm8XAqoGVKn7HgYYHUWCcv3Sm9gLKsidIv4umB6L05QzoYWYnJkH6V3hjEmixqVSuFOdeuuXSj+E8YLDKZjCLLTHZfPMHp1AdQmUYxJv99Jl6cwYhPkvVGyz8NiVSs5h4+CTx6izdQwUnRcMk+IMaAVKaKmktF01U32C1Hoxbnk/QDZO2D5opLhtdEMZ3zH6yh8kd5aeNyfjizn+HhvUn99hAW5uZ8/vnnGF/xxfRnWLTmKAmZ5QwYO5iaVpjjCdWfxGDa14XXTTew5omlbX0FAWY+8gSJywo48eNZnO3yefRFIx5d9VZbkL9K08rulOEYWpXgbTKLUKenWV78FQfqTjDMuj9POz98ran8OZoLxWxd24Lgl5GQvxkc74C+38K4XIh+F6xCf3eYW4LUCBx6QdgL0H+z6IEZlQA9PwffySDIIPc7OP88HBomGjE/OsDefnjkvMCZufW8PryJI0d/Ydiz66ip19cy+qeSmyFm1fIOGNrWlkIBEgSCr0hlDGI6Y7Va4ESrBaapuqrT3t4OqGQyegXaYW0cwgm/WLTG8Jzb5D8sBbsSC0zww5lCqqilCQupGc+7TiXRTawtkXrxG0ZPuA87C533J+bYVsKdjBCKmtGiZeOpvR2ObWAoo9PAEFJPZtKs/7vV8y/g5OZzAPT+VfxKa2srWVlZ+Pj4kNbwEedPQWOVbqHP1taWB+4fSVbKVgw9ujC9YhlZLXncbz+K+QEvMKPzkyz1foqvNP24z3oQJYoKnsh6jZfz3qdR3V5K7GU9BheLu8isWkdNSzIAEQNDaKhuJC+hgCWTH0QQjNBekRDgREE5Kic1he+ewUZuQgAuFFBJhVAv1s5TNIopjq/AO3AEADnpP9+4C3gN/hMGi52dLVFRUZSZ5xHXeo69+0KoNX6I8OpfeOLcKB56bzcJJXqj5R+HRAaO4WK8h3tPEKRQky1m2co7KtYtSfgWYteK6YEz90LBKahIhvpCkNeLq+83C7VCnEviBnE+qhZw7iIG0nvdIRZlusEs3/sdS3evp5d/BJJT+VRXVfHhhx/i4+NzXePFpJaw5MtjhAe5Ettsi7e1lO4L9yMYS3mr6342zLmiyJUA93TvR9a6RtAqiA49yohJKoYvWN1mrGi0KnYljkFtkoxB7VAGhnzAlqp9rCn/kc6mwSzymv3X0hdrlFCwDX4ZA1v9xWxdGiWEzYMxaXDXbvC6VzQQbmcEASyDwG8K9FoNo5PEWJg7d0PXDyHgMbDpAo05kP01xkmvsiBoGdmPrmBHz6cpWR9Kw/77xLiY/M1QlyJeBz23PbkZu7Gw9sLGPgiAJlopoBJvHDGl/d9tQUEBNbkutKCipTS9rd0yVIy9mtB1EhfTk6kcUY9jhS13WvW67nmFIla9TrkUSzPa9i6cXaOptTAnNWEjgqBl9jOPtPVX5MTi4B2CcaUcmYZrGiwAUUMiUKvUxP+SfN3z06PndkCr1XJ6awxOPg54R7SPN0tLS0Oj0eBmW0VraAVbP9dlv5RKpUydOpXirM1oNCp2uYKjgR3rA5fyksdj1JtrsRLMGFhUT1cjX171ns22kJX0tejK9uqDPJO9ALmmfZhDV7claNEQU/wqAJ0GiBnFEg6nYmVmRheXrmj8dMoChVrLmeiLKAobKPs6kUj8AIglW8wWBlfFsdjYB2Jl60dO+q6bLkm+BblC/37k6irWf/c5Tz0+hyNHjiBzlXBkrx8hUc/ipf2aGTET+d/rr7B4wVw6u17fKrSevxGJTAxQd4oQZWHyBtEYkdeLxY7kl4oe1eXTLm8gAAIYWYCR5RUfq0v/Wohj/1kUTaJErSJZfEk0MBMNKvvgvxRE/3v8dO4gz3+7lEBnLwbgwVdn9zFjxgyGDx9+XeMplGqmLtiGgMAdo4awIkbJS81VqDOq+WJoHD8t01U/l0pgRCcv5Ge86D06EKvad7B2tmPIoi1IDcWXLK1Wy4ncx6hU7qO5OIIH+nzDucYEFuR/hKuhI8t9X8dIcp3XpyELMtdC9npoLRXlgq7DwH8auA69vt/j7YaxA7jcJX6uRF4FdamiUVKfSkXqacwlqViUb4byzbp+ggws/MEqGCyDwSrk0s9BYj0ZPX87tVWZ1FVn0anb422G++UiboG4tuur1WopKCggrTkCGk+iuWLxpchKwNZcxaCQx3j20BKwh4nyYX9pMcAdOywxJYVCuhOIVJDwjMsjrPLYi3VyBvlZ+3li1ou8/s6nqC8Zx8eLVJigwbxGztmcJAqry3C3vdqjHDlYLGAbszeBnmOultHo0fNPISs2j8qCKsY8P/Sq+y05ORlBEKjgUxLPQGWhTsZubm7OYzOms/2nnjQbG2Hl35/P/BdhKTMnhmxaUNBf6YWhPAscO4Eg4GLoyGd+b/J20Sq+rdjGi7lv84HPK8gEMXOYg1l3vKzvIa92M+VNZwjtF4FEKiH+l2RGzxzC/IkPM6b0JFILC9QNoufkx+Rf6G/bm4K3TtN1aic8DOzJpJSeFp5YgqhcsQ9um7cgCPgEDifu9MdUlydj53QTYk8v8S94iv8+ddVKdiYOYeUXe3lp9gJ27NiBYbiM5FgNZQ73ExZ0htEZ8/l81nmmvfUlUX72f/eU9VwvEhmY2IifX6PViC7Ny8ZMa53u54YS0evyawzMdIaMsVV7w+bXxkdrrZi9rDpDPJaxjWhE2fq3Sz14MziRHseDn72Cg4UNr/ScxLxnZxMVFcUrr7xy3WMuXnuU+Iwy5j46gFUpanzMBLovOsKFoFLW7/2+rZ9MCvf2t8IkZwxTvxtJ9sYHUJnAkCU7MLHRFbg8XzSPjOovaSn3J9j0HepNW5iVvhAjiSGf+i7A3qCD39lvoW6Fgq2ioVJ2WGwz94HOC8SYFFO339z9X4ORHTj2ET+AVzTsOJpG9/nf4WtRztJHPenl2QD1qaJhU7gdtFdWJxbA3BssLxkwVpeMGcvg68uSpue6uSwH8/LXycHSKcYQGV60LxZbV1eHNrmJEy4uGB74gMtrqzbWplQKpowOdqZeo+SU9UUMk2SM6zfkL81NQCAEd86QTh7l+OJMX8uurAnsA8kZxMZ8wT33bWbogH78fOgQANmxRxnkb8PZomawM2LzuUM8N+T+q8Z2DXDG0due2L36OBY9/2zO7YgBoMfoqHbtcrmcrKwsvAJVNDplsO15KSDGG0okEsaOHcveilUIjdXUdurBqoDFmEvNUKAilmzMMSak8pJk0lpXh0kQBOa6PUaNqo5dNYf5sGgtL7rPaNse7bqI/NqtxBbPZ0jAbgK6+pB0VPT0jOrWA3OZPY0eZZAsGizx+RVYzfOhakkKlT+mEfmALwVUEmdQyh1GVtBYctU5eweOIO70x+Sk/6w3WP4qahX875FEmlb24b1lR7C2tmb9+vX4dZNglGzIyeOdCOnmT0TZT+x6pget83+kd4+o3x9Yzz8LQaIzNn6NVgvK5iu8MvW6T0tVhzcpMmPdeGrFJQ8OYO4MTp1vWBD975FanMPoD59HJpGy5qGXeWnaM9jY2LBy5UoMDa/PYxGbWsKStcfpHOiEzCeM2tw6Zl1MoYFG5ld/3eb6lUph6hgDoj0Xct+G+9g3905a66sYvHALdn4RbeMllL5HQtm7KGs9aU2dSsTjXZmSPZdGdTMr/BYQYOL9xyfXUgLJSyH7G1BUg8QAPCeI3hTngX85w9q/gVF3BLF7xROMfH4DvRc2sODxIbw2fbG44qduhfqMNo9Mm3em9AAU72o/kImrzoDp+uHfczL/IfIy9iCRyPDwFZNO1NBIBfUE495W2f4yBQUFNKY709zDCMPcY23tbp2tqBEE7omewIbK7ahlajy2OuH44F9fiAvBnbNkkEQBvjgjCAIzAp5hh91WtKk7UcgbWDx/TpvBolEqUZjYYVxWi1QLm84d6NBgEQSBqCER7Fl1iOLMMlz9b2xcnx49t4qzO+IwszYlpE/78gHp6emo1WoMnDaSmQi56brkKGZmZvR56i5Sz87GXRCYc/d6zKWiVCuRPFpR0J8wpHUxopzZ3Lnd2BJBwmLP2RQryvm6YjNdLTox0KonANYmIXjb3EtOzfdUNscQPiCEtDNZ5FzMxy/Sm3u7DeHLsnxIFt9xVBo4qtlPJxNvij48R+f7H8ZesBQ9q1bOGJeniaoVI10dF3fv/sgMTMlJ30XXfi9xs/jPPNmLsuD1Kbms3tuVea9PY+bMmWQVZFLeKQvncDuSzxpzrngGZnUVxPyvD/s3rvm7p6znViIIYGgGFi6iu9OtO/gOgpB7oPNk6PwIBI8FnzvBJRpsA0TpmLwBqjNFY8XKC4JGix9rr1tirJTWVjLsvWepa27kuycWs2Lh+9TW1rJ8+XLc3d2va0yFUs2UBWIa0uXzxvDRyXp8BBV99yXyhvcW6ip0lbRH3QWTp6xmxvtPcerDR6nJSaT79CV49x3T1ie9ci3nil5CpvKm/Mx9DBg4hJeK3iVfXszL7k/S1/LqwlodopZD0nuwPQxSPwJjR4h6F8blQb/vRKmU3lhpIzLYhbNfT6dLoDNvrDrM5De2IleoxDowNp3AeyJEvC5eu5GxMKlWrBdzxybovBB8HgQTF6g8I2Yn03NTUSlbKcj5BRfPPhgZi4sq6deQgwEUxWRzxtgDKlJRtDa2tTe5CEglWgZ3Gc135TswKJDSVRH+12LDLmGGMd44kk8FDYirvb0topD7RyOolVxIWEfnPoNxd/Nr2+dCbgmmqDCrUXA8PY7S2soOx44aIqZF1mcL0/NPpaq4hswLOUQP64zMoL0/IDk5GSObQlotM9j3me5eFASBzndF84PqO9zLKnELHIqzjWjsiN6VHNG7orAVE/ZYeXT4nDOQGPCe9zyspBa8kreUYkVZ27bOzmKmsPiSJUQMvBTH8ksKAK/d+wDYmYKxLj7umy2bcXwknMbzpTScLCYSX1SoSbC71OdXC7gyA2M8fe+iOP84rS2113v5fpf/1NO9oggWPVbBJ9uiGf9gb+bPn09ObjaxRsfpNbkLZZnNnEyaSGGNHzkrp7N5wTRU8ta/e9p6/m4EQfSmmDmK8i7XaPAZCMFjoPPD0GUKRDwM/kOuWvm4mWi1WiZ9Mo/cymJWTX2Fs1sPEBcXx7PPPsugQYOue9wla48Rn1HGy4/2ZV+xIQ1yLY/8HMP3LqeIy9S9TIQHwqyZ/6PPqMmcXf0/8k/tJGDww3R+YG5bn7zarZzIm4Gp1JOCIxNwdvRns81hzjcm8KDDGO5zGNnRFH59olCwHXZ2gbhXwNhJfKkeeRFCZokpgvV0iJujJce+mMqofoGs3xXP4Ge+oar2GvnyJTKxXozHaAifC72/hGGnxJTLYzNv7cT/gxTnH0elbG7LDqZFSzrFmGKEG3ZX9W/ekMvRADdI3dPWJpNJKJTZ0sXbkQPNJ6jXNGK5zpigrn5X7X+9hCIuhKRRBIgvXCO7zkUjCJyOWQkSGTNnTGzr31Bdi6OsFUlxM1qtli3nO05/GnFnKBKpRC8L0/OP5dzOWEBXW+gyCoWCzMxMHMNPUlcJ58/ptpmYmmD8khseWWkIQI+es9q2XfauROOPtO6SZN2qfSD/lbgYOrDYaw716kZez1/epoSwNY3Aw2okubWbcY3SIpVJSTgsGiw+jq542/iBu055ciGrBIfHxaQfxcvO448zFpiQYNKAWkCU0P8K78DhaDVq8rP2/+Hr9We5rQwWb29vgoOD6dKlC126dOH7779v165S6QKUunbtyuHDh//QuBKZzpVeWwHvPtXIl3vvxjtUwocffkhpaSkbLnzFpGUjkUqkJMVFcqxwFOUHv2LDYz2pL8q6oeep51+G1BAMTG75Yb89uYujaTE8cecEHBukrF27lp49e/Liiy9e95hxaaUsXnuMiAAnHpvUh+XH6/BtbMIh9Thry3VpC20s4ampofQdsoC03V8Rv/E9HEN70m/O520ruSUNhzmcfR9GMntU6c+hajGn/g7YVn2AfpbdeMltxrWmoaM2EQ4Nh6MToLVMrFMyMk58qb4FHqx/A+amhmx5fxIz7+/B0Zg8ej26hoz8qt/f8TKCBMyu/ZDUc2Noi1+5ZLCUUUs9zQTgioT2f+uttc0UpZnQZGaKUebutnaPIHOUGDCiy2A2VO7ATGmC+U5jArr53rB5euKACYakUIj2UhKTgU53UenqDgWJVNfl8dwzjyE1NG/bp1ZjhFGlHIlW4KfzBzsc18zKlOBe/sQfSkapuM1raunR0wFnd8QikUqIHhrRrj0zMxOJeS5YJXPkM9BodMl/XMf7U2ZQQaf8Cqxs/fD0FRcb28Wu4A51eYAAlh6/OYcBVj0YZzuY0w2x7KzRLQ6IXhYtmU0fE9BNjGNRq8VEHU8MGgOeOoOlIvKsCAAAIABJREFUVaXl0NkfsBnqQ+XmdBR5DXTCixZBSZa9bYcSea8AMUYu/4p6UDea28pgAdi0aRNxcXHExcUxadKktna5XM6aNdcn03J2dMKxk+4Lu7EOPpgpZ3/8U9SrY1i6dCmNjY0sXPE6j6wdR1BPf2qzrPg5+REqUrP4YXoUOUc3/8YR9Oi5tdS3NPLihuXYmVszvetw5syZg729PZ999hky2fWFpolSsK1o0fLVG2NYfqKBJoWWiftOscD8e9TqSwGCAjwyXsqEyd9RkXyWYx88jpmjB4MXbUVmJGbZq2yO4UDmaCSCESFGn5OV0oikpzlfNm0mwNib973nIRV+IxGBvBrOzYJd3aD0oFiLZHSyWKfkdk9JfBsilUpYNmcon7w0jKzCGnpOXcPRmLy/e1p6riAvYw+m5s44OHcGdHKwoA7kYFmfnuKAjyu01KCozmlrNw4S7ynfcF/y5cX4x3ogkQs31GCRICEIN+pppgRRHioRJPh1moQAbD/3Noa2XvTs3qNtn/TiakzVCkxrFBxOuUBlQ02HY0cN6URLYyuppzJu2Hz16LkVtDbLuXggibB+QZjbtC9CnJaWhmXAUVQqOLhPt/hgZGqExdOedClrQmhtJKLbEwgS8bU8gTxaUdIVf6RqNdQXiZJ12e8//15wm46tzIp3i1ZRo6oDwNG8Fw5mPcmq/paQ/t401TWTHZsLwJQBw8HJQsygc4kVK1fjNqsraLQUf3yBYNyRICHJ0VyM7VW0r/tiZeODlY0vBf8lg+VaLFiwgIULF9LcfA05w28gCALJxy9gHeHd1tbaBMueVxJfspTcqt3MmzcPrVbLM3Oe4q7XuzP+pRFQpeJg3AQyi9zZ//p4Tq2Yg0alr2Wg5+/nzS2rKa2rZMG4x5n7/As0NTWxYsUKnJyuP1j1rS+PcTG9jJen9sPVzYFPjtfiW17D0bJPqajTrcgPGwD3Pfw6xlix77VxSKQyhizejumldKV1rensyxiKRqvkTt+tnDhQQL19K1ucjmAns2GF3wLMpNdIo6tRQdpnsD0U0leAXTcYelKsRWJy6+R2/1aentidHR/cj0KpZtBT61j/88W/e0p6gIa6AqrKk/AOEFOhqtGQSQnWmGFP+yQhWo2W6s+TOBrgChkH29U+qLK0wd7ClFNCDBIkGH0jwdHbHit7i18f8i9xuYBlKrrMiuOj56KUychP2IwWeOVZXQFYjVqDqboBaUkTao2abReOdDhu5OBLcSx6WZiefxjxB5NQtCqvkoOp1Wqyig9j4pRO7DpobNHdr7YTPFEYqOhT0IBUZkRo1FRA9K7EkY0FJgTjDg1FoFWLcbJ/ACuZBXPdHqdGVc9HxV+3tYc5zkKtbcWqcxpAmyzMycqOSK8IcNV915xJycHyLk9MQuwo/SIegwYt/jhTbKyh2ljWoZfFw28QdTXZ1NXkXLXtRnDbGSwPPvggnTp1Yvr06VRUVLS1R0VFcccdd/Dhh7+fqeaDDz7A3d297VPbXIedpTWxB45j2kX3C1cp4LO5ajKr1lGrPcxDDz2EiYkJjz32GGZdpczf/SJm5iYkJURxIncEcRuXsWPWABrLO0h/q0fPLSKlKJvl+zbQ1SeUvIMxJCcn88ILL9C3b9/rHjMurZRFa47Ryd+RV6fdwVuHamhRQ+iujznZqHt5CPKFSeM6E9njefa+OobW2goGvvIN9gFdAGhSFLEn427kqmoG+n5PfrIxBc3FnOqZgYDAJ75v4GLo2PEkSg7Crq5wfiZITaD31zD4CNj9waB8PX+I4X0DOP7FVJzszHnkja28seqXm17wS89vk5chFlW8LAcroooWFATiivArOVjNnmwK6qXUWlkhTdPJweycDClXWTGwe3eON5znDrNuVJ6ouqHelbZjYYkDlmRSihJRvmVtbI/g2w3L6nKO5u9g6PChmNrqCtaWNGswqmhFgsCmcx2vwvpF+2Bha06M3mDR8w/j7I6O41fy8/Mxcj8MwMGfdO1SYxk2z/hyh9KVlqJ4AsMmYmIqxqqlUEArSqLxQ4oEai95w63/mMECMNxmAFFmYWyu2ktOq/jO6m1zD6YGbrR4r0dmIG0LvAd4dOBw8NAZLI1yNSd+/h63WV1R18kpX5dEGKI0OMne7KoCkgCefqKcrSCrY9nnX+W2MliOHj3KxYsXiYmJwc7OjsmTJ7fbvmjRIpYtW0ZV1W/rr2fPnk1hYWHbR26g5O3ClbjZO3F4088YROk0gGo1fPG6hqS87zFxTWDo0KHY2Ngwc+ZMYgrO8FnCYtx7BFKdZ8OexAfJOpvI5hmRFJ7bd1OugR49v4VWq+W59e+hUqt4tuc4vlm/nt69ezNz5szrHlOpukIKNn8slc1aVp6owzP5NLsrv23rZ2Up46GxUoZM+Iq49Yupzoonesp8fPqNA0CuqmZvxmCaFPn09V6DncFdHDh+kFO9MqiXNPGW1wt0Mgu6egINWXBkPBwaBo3ZEP4yjE4En/v1cSo3ic6Bzpz5ajpRwS68ufooD722hVa5Pm7g7yI3YzeCIGl74GdTCoA/Llf1LVp2nr3BzqBRIy3RRe86RohyDsswMZ6uT1kUWq2WwJtgsAAE444SFdnoshH17/ocAIfPL0Mwc2TwAN0iSnWjEiNFCya1Sg4mnaWmqf6qMaVSCV3uDiMrJpfa8rqbMm89em40Go2GczvjcAtywTWgvRIgKf04pq6JVJ6zIEN3q2Az0h2JVGBQkVhBqVP3J8Wx0BJPLiYYEoSbmHSmLl+s69ZRSYZrIAgCz7s+ihoNn5SsA0AiGBDi8DQKg0I8oixJOpaGWiVKvcd1HQhulu2eue++9z6OD4UhtTKiZGUszlprbDAnzd4MVUceFp+BwM2LY7mtDBZPT9F6MzAwYNasWRw7dqzddl9fX+6//34WLVr0p8Y1FAz4pmIb0zP+h4+nC5tWr4duupSvWi2sf1vLmYub8O9RzJAhQ7C3t+eNN95gzTer+fj4y/SeORp1LRyKHUtmjiO7XhrK+S/no1Grf+PIevTcWDafP8SBpDNM6TeKH1Z8iVQqZfHixUgk138rL1krSsH+N6UvUcEuLNxailzRRN3emai14t+3IMADo1QMGvEa1CqI//497AOjiXxILEypVDeyL3M4ta3JdHdfSoDdZA4cOsDR8CSqzRt5zmUyg236tT+wsgFiX4adnaFwh1hLZWQCdJ4PMjP03FxcHSw4unoKY/oH8d2eBAY9tY6Kmqbf31HPDUWtVpKfdQAn9+6YmNqhQUs2Zdhgjg3m7fo2JVVQuz+XvWEuUHgBhVwnkVa5WiGRCqQYZeBt5IbhafE74WZ4WIC2ZABXysKig+5FaWKOJOMMNap6/vf4BNFbegmpoglZcRNKtYodsUc7HDdqiBiwHHcg6abMW4+eG01WTC7VJbVXeVe0Wi0FLV8hSDQcWNnQ1i5IBOye9GWkeW9Kk7Zh7xSBi4dYNyWXMuppIQxPsfZScwWoWv6Ud+UykeahDLTqyd7aYyQ0iTKwQPvpSAQDbKPyaWloJSsmFwA3W0c6+4WDo04+ejIuBampAU6PhNOcWEnDyWLC8UQulZBpqgRlS7vjmZjZ4+ASSUH2QbQazZ+e7+9x2xgsTU1N1Nbq8jdv2LCByMjIq/q99tprfPPNNxQXX+2OuhbWMksedhjLhaZE7k19Fo9AB5YvfBd6e4kRxJf46RPYsWsjPUbWMXz4cBwdHVm2bBmvvvoKcz8Yz33fzEZhbEZsQhTx+cM5u3Yxu18aSktN+V87eT16/gDN8hZmf7sUK1Nzepv4EBMTw5QpUwgK6sBr8Qe5mK6Tgr02vT951Uq+iG/Gbv0T1Kl0nsy7+wr07tWZyJ7Pc/jtKQhSGQPmfYVEJkOtUXAoezwVTWeIcJ5HuNNsSktL+Uq+lRLnWkbbDGKGky6BBloNZK0T66kkvy8WJRx0UKwHYv7nv5T1XD9mJob89O5E5jzUixMXC+g5ZQ1puR3XydBzcygtOI1CXo/3per2pdTQggI/ro7ZKl52njpjQ8psHCBlZ1u7oZFAvuBIZG9/6tQNjLMbTMa5HARBwC/a+6bM2wRDPHGgiCqakQMgkUixDxmKRVMz21JW0a1nNJaunXTn2qzEqKIFAfjpXMeykcjB4YA+jkXPP4drycEKizMxcD6Busqa48m6dvOe9hhYGTG0yhiFvIGI7k+2ZdeMIwcJEsK59Cy8LAf7jXTGv8VMlykICKwoFdUSJgYOeFmPwzjsDABJx9La+j7Qe3A7WVhNk5z0mFM4Py4mAildFUcQbsi0AokOZtBYetXxPP0G0dJcSUVZ/HXN97e4bQyWsrIyBg4cSEREBJ06deLIkSOsW7fuqn4ODg4899xzlJR0UHn8GrQ2VfCk+TDe9ZpLo6aJqZlzcYgy57knn4J+3u3SHu/+Gj75aDWDHmrhoYcexM3NjXXr1jFjxgwmTghl9qH5VPkFkJdtw4mU+0k5cp6fZkRSmnDihlwHPXquxds7vyK/qpSXR0zl06XLsLW1/T975xkeVdW14ftMSya9d0I6IY2E3kMNoYnSFQURbNhABaW9gqIiKLZXUVGqiAgKSEd6EwiQRk/vCenJpE45348JMyAoSBG+17mva34wZ+89+0yYmb32ftazeO211257PLVGy5NzNiEisuytISjkUqZ/cRGbnR9TWnbM0K6FvyWx0RJihi4n8fv3qcg6T5txb+HgF4ZO1HIwcyx5VbsIcppIG4/3EEWR+XH/JcW/kHBFEHO8XzIWrSs+Bju6wLGJIGqgw2KIPQau3f5klibuNVKphA8nx7D4zYFkFVbQ6anv2H8y835P61/DH+2M05rkYH5/CFgai2spWnWW3V28QZBgkWf8zfEMldGgkWIXqsRMhCF20aTEpePV0gML63tnuR6IByKQivH3uHe7VwE4n/g9grU7g3sZ3cLqG0FeV4tFlZadyb9TXXf9iZ6jpwPNw7yI35Vsyq0y8f+CE5vjsbK3pGXna6vbn878FIm8gZPfyKi7yq/JcbwvgyyiyT39A3KFFcGtxgBwmUoKKCcIdyxpcgOrzDLWgbsNApTNibHrxqGqOM7V6utpBTk9jUNECYL02oDlkba9oJntNf3nvPUfLEOdsenqRfFPF5CUagjQOlFkZUZZfd51r2fMY7n7srAHJmDx8/MjPj6epKQkkpOT2bRpEz4+PgBkZmYSFhZmaDt79mxEUaRHjx63NLZWq+aHL6NoWVLH6qCPcZc7827ulyi7wuBHHkIX7Yv8qiqfB36Bma99RoeHc5j9n9n4+vqyfft2HnnkEbqFWDJ/52uk9o6holzgcNJgLp6359eXo0la+5HpC9bEPSGtKIcFW1cQ5hVAbUI2ly9fZvr06djZ2d32mO8vO0zCpULeHNeVNi09OHummAM7dlF5domhja2NktEDa+jYcxZUqkn8cQFOQW1oNXoaoihyLOdlMsrX0txuKJ29v0IQBNac3cAej1M4qm1Z3OIdFBIF1ObCkXGwqzuUJ0LwZL1NccAEkPyFvbGJf4znhrdl6yePodHqiHlxFcs3J9zvKf0ryErdgbnSAVfPtoiIpFOIDUqcuNbZq/CbBMQGLZuDnKE8i9pSoy31sFYSkrulsD1zDafO78HxZz8mj/mJMSMvQckJ0N0b6bIvLsiQknJVwNLMsyNaO1fsMi9wTpXCy4/1BsVViyB1DdJ8FQ3qRrYmHL7huFEx4ZQXVpKZlH1P5m3CxN2iJLeM9Pgs2g5ohfSqzW+dqKWEtegaLNizx3hqrfC0wDLcnrHmkRQXJtAy8gkUZvrPeiJ6d60ImswqGqqhrkx/unKD6va3ytOuoxBEkY2Z/4WMH/DIOEyw1BmnluWcO3wJXZN8K9DNm5DAYLA3unjuPazfvHR/LhKxQUvRimSCpfr5XZSXXfdaHt5dkUoVZKff/cT7ByZguZfIddaIoo5NqwZQcuQ71gR+TLRNe7aU70Pat4HWfdqi7tEcS2ujXvjELnhx/OdYBm1k5crlREREEB8fT+/evWkmucySJcOJHzsBlYUtCeeiSEzvx6HPp/Pb7KE0VFf8xWxMmPj7TFn9EQ3qRqb3eZxl3y0lLCyM0aNH3/Z4iZcKeefbg4T5uzB7Ynd0oo7XnltP9dF30GJc3Iwc0EBAUCtad3yVA/OfRJBIDVKw+IK5XCj+EnfrXkT7rkYiSLlQncbCumXItTIWB76NHXJIfg9+DYPMNeDRHwbFQ5sFoLj9YMvEvaFfpwCOfjcBdydrxs/dxMwv9lxT5MzE3aVGVcTl/NN4B8QgkUi5TCUq6vHD7Rp3MF2jloIv4sHbhkylC7ZxCw3XpBJ4va0WW6XAUSsHijz6UCVtS6BvGV0CtsDOrvCLFyTNhfq7K/eTI8MXFwoppwq9nl0QBAIiRqFsVLMl+XPatY/ExrOVoU+RSoOiSN/2z9zCovrpZWQmtzATDzp/Vt3+Yv5PCOYllO1tTtpVS0KHR73prm1D9ukfAAhv9xwANdSTSgGeOOB8xcq88ooc7Dal0o0VkLqU4N9f4MSlw8yI/xKOPolw5j26Z5Tw39f2MKLfIQoSTxi6DGvf+xpZ2OVKFSX5OTgNa4HMUUnh14m444C1Gi7aCOi0jde8pFxhgbt3F/IyD6LRNNzevP+Ef0XAItQIhP0+Gxe3Npw48C67v3+E+c7P8qL7E6Q2ZKHor8avlz/1PZvj4ORo6Jd0GCY9towLNTPZsHE9sbGxZGdnM3jwYKov7Oen/7Tj1MTnuBwcQna2A0fPjiR+2yF+ebYNJZdO38c7NvG/xLaEw2yOP8jojv3YvnwdarWaefPmIZXe3smEWqNl/NxNTa5gQzBTyFg0YTnnj3xMNcZv1tieToQFNUnBVs+nPPMcrZukYAXV+0gomIujRRv6+G9EJjGnVF3Bs5dmopFoeUk3mpDqZNgSAUlzwNILemyCnpvA5vZzbkzce8ICXDi+fCLtQjx4b9lhHpv5M3X1pvpT94LsVL3bpE+THOyKO9gf81dK1l2gsUDFqVEtGW+5HPX5HYZrraKkhJ5sycP+vZjl1x2HHr+y7cIrPPrcI+R4roDQN0FuC8nvwsYAOLsQdHfv7xnQVNgyFWNeaXQbvWth4ZnNaKxcebhXe8M1jRakNTVY1sD2xCPUNdZfN2ZotxYozOWmgMXEA8+JzfFIZVJa/6G6fVL+J4g6gT2rjJsEgkzANsad11uM4dKZtbh7d8bZTd8vmSx0iLTCaAVORZb+ZMXGi7+FqINL38AGPzj+HFw+jNYuguUO3qxt8Sj0O0Jj+JvUIPDIgEt4nO0BB0dAWTxD/yALE0WYPWsGEnMZrk+GUXepjKr9ObRosKZGISW3Pv26l/f2641GXUthzrHrrt0J/4qARWcpga1qPL8dS0joBHIz9rFmcRsG1Xvxpd9cBEHAog+4D3ClsY8vXt5G2+NLp+GF0evYljSCb779kkmTJlFWVsbkyZM5/suXrBnnzPlhI7kYO5CaWjlHkwaQeNKCjZM6c37zN/fxrk38L9CgbuSV7xdiaabkIa827Nmzh6FDh9K+ffubd/4T5i8/TPxFoxRs4+Jt/LBsOdkYq0sHt/Cgd8cS2nWfoZeCrfkAp6DWRD46DY2ujiNZzyAVlPT0+wm51JoGXSMvpLxFqaSSx1JdeLJqKRx6VL/D03ohDDgNnv3vxlti4h/AzcmK/d88ybBeLVn721l6PX99PqGJO8eQvxLQDxGRNAqxxAxXjKePoiiS9/FJFM4NtPafg8/5hdRetanp2t+KGjtzGpQNxNpFIxdkXIrLAEGBW6fhEPk2DD4DXb4HCw9ImAnbO+jzye4CzXHCDNk1sjA7Bz+k7i3wyM/lQPkRnhveGZTGoraipgZJXhW1jfXsPnP8ujHNlArCooM5d/gS9TXXBzQmTDwI1NfUk7jnHKHdW2Bpa5RRVdSdp0Zygob0YI5nGesJWvdwIUTtR8WFHWg1DUS001sZa9BylmxssMCHplwVbaO+OKO1J0jltz4pVRbsHQBxL4LCATp8DcNysYo9ym7/IcyXlVFqG4gi4m1+D45h9vxo0ooDIWcT7OpBK7MCmgf4g4UxTWLbNv33lNsz+nprBV8n0EKiP/W5IFyfx9KsKY/lbtsb/ysCFjM7C1Tv+yBJqEMxNZROHT9D3VjNz8t6YZ64lx+DPiFI6YttewWOw23Q9fcnKNi4C5x1Hl4avYM1h/vyxvQpzJ8/H5VKxeLFi9m1bD6fdK2kqG17fn/iaWy9XTibEkncud7snv+yKWgxcUcs2v49qUU5TB80ni8WfoKFhQUzZ8687fGSUop459uDhPo5M3tid/auO8Lnk5aQhHHRYG1txYiYItw8ImjT+fU/SMHkJBS8Q1VDKq095mJj5ocoiszO/pi8mjMsupDFm5o1CMWHIWAiPHQWWr4CUsXdeDtM/INYmMv5af4Ipo3tzLFkU7Hcu41OpyUrdSfO7lFYWrtRSjWV1F4nB6s6koek+jht5n9JJ/MjfLjTuHixtVdQpnDGtqU5oC8WJ4oiqXHp+ER4IzdraiuRgc9IGHgawmdC1UXYFQ0nXoTGO6t3IkWKH26UUEU5KsPzkZFPIdPqOJDwFR3aRWDjYdyBLq7WoijUWzJvOLXvhuNG9QtH06jhzIELdzQ/EybuFYl7zqFuuL66fVLBJwCkrrKm8ipVlO1AT94Mm0RS3FeYWzgSGDocgIvkUY+aVvgYP/tVufqTklu1MxZFSPkWtkZB4V797++g0xAw3pBDNtb5YdSihrUlWwGIavk0qSolcz5qCzEHQSJH2P8wU9v5grdRFpZXXEp9XR0WQQ7Y9mpO6S+XsKiyw13VSIZ5PY1ce2Lr6tEGhbkt2emmgOVvIyDQ780RSL9vi1Ckpu6xeiJbLcXBKZgjv71J/Prn+NZrJoPte2Plp8BipAzz0S1p3bq1YYyCDJgy+jDLdndj1GMP8c0336BWq9mwYQNxm5Yw2TOBOnc3Ng6bQMgjncgvcOBQ/ENsfWcm+fE3/kI2YeKvyCktZN6mbwl088Yyp5b09HReeeUV3N2vLyZ3K+hdwTaiE/UFIk9ujefj0V9ySjiMFuOW7bgRjjjaQ8zQ5SR8/75eCjb2Pzj4hVNWm0Ry4UIclVGEuk4B4Kv8FTimrmR7yjFidKng0hX6H4cOX4L57TmbmHgwkEgEPni5L8veGnK/p/I/x+X8U9TXlt5cDrZ0PWHTVoJ5PbH7xlFZbVwBRfWScC7bFucQazwVrkRatqQ4p5SKy1UEtvPlOqTmEPEWDDil/5ymfAM7OusDmDsgsEkWlnKVLKxt5AREQUL9xQPUWjsxtHc7wzVRBGl1DRYNAr+ePoBGe33R0iv1WEyyMBMPKjeyM27UVpJevorGcnf2xBlVCzInM5q7eOGmLqOiNIXQ1k8hk5sjNhWKVCAjmKukX3/HzlhTC0fHwYlJoLCHXlv1v7/yawtN9rLrjIfChR9LttCoa8TTJha3NjVU5mkoqvWDXttAkPKcZCURoeaGflqdyJy35gDg/mwrRLWOohXnaKGSoZEIpIrXuvZKpDK8fHpQlBdHY0M1d4t/RcACIEFC5zG98do5AAQBzfBMXGzmENRqDBkXt/DL1515RRbNTK9JmNvJUfevw/K5ELpHdzeMUVoAU8fE89XmTvSKac+qVauQSqVs27aN3LitPK74DVEh4/OWscR88CQarQVHTvdh1fPPUZmbeh/v3sT/R6au+YTaxnrmDnqaLz77HB8fH55++unbHu+D5UeIv1jIG2O7oEsrZMGo/3JBTKRSNGpshwxsg79HFu27z4AqjVEK9tgb6EQth7MmAjq6NF+CRJBx4uIC+h2dzBtFKajVFlRGfI3QZzc4RN6Fd8DEg8KTg/93/54+Pj4EBwcTGRlJZGQka9eu/Ude90Z2xuYocMfe0KY+JQ3PiPcQ5FrmVn/O3hNGeYlEIsG/hxytkxTRQkd/+x4IgkBKnN5p6C8LRtoGQ5/d0OYjUKXrrcbzdvx5+5vgiQNKFKRQgIjepEFp4YjSpx3uRcXsKNzB+EGReknaFXS1SPKqKVVVcuRS4nVjNmvpgZOXgylgMfFAoq9uH0+zlh64+xvljmllP6CjjvpdYZwrKTc8bzvAgwmeo0g6sRiA8HbPAvq6S2WoCMYLBTJ9Y1Gnr26vdATFtcVjr6M2F3b1gMwfwWuQ/hTVve8Nm8oEKY85PUSZpoLt5QeQCFIiuus3Bo7s+gWc2kOvrUgkcg4NKkJuYTzNXbtGX8fF8eEg5C4WFH6dgL/WGalO5IIu87rXaubXE1GnJS/r0HXXbpd/TcByBf+eYbQ6PAbczLB4Mo2GC/1o/dBH1KoKWfdtV0LSc1gRuACFqKCsbQlmU/0ZMGigoX9VKcwYd4FP17WnTUd/1q1bh5WVFbt27UKTc4pHpTsRtGqmVfjw8PJXUVhYcOREW/47cjyNqjs7ejfx72HfuTjWHt/FkNY9OPbLLmpqanjrrbcwNze/eecbkJRSxNvfHiDUz5lBXna8P/wzSsR8UkVjNeng4AC6RiTg5BpOm85TOTB//DVSsPPFX1BSG0eo6xScBDcqd/eh/clZuKsb2FXZlTiXb7ENHw+C8BczMWHiwWP9+vUkJCSQkJDAqFGjbt7hLpCVsgOFmTXuzTpRgYoyVPjhiuTKz7K2EXHvcMydK6iznctn5wIg9TdDfxtbc4pFO2yD9d8Jg+x7ApASp0+CvWmFe0GA4Jf0u7GCFPYPgXOL9McffxMJEgJwp4IaSqgyPN+xzfNIgLiEb+nSIRwrt1DDtZJqjUEWtvEGsjBBEIiKCSPvYgGXs0zFTE08WKSeyqS8sPKa0xVRFLlw+St0GjOObFShuarYu0OkC49EdCXtwia8A2Kwc/AH4Bw5AIRgzJ1GVQTahpvLwSrPw85oKE+A8NnQff21FuI3YKhjP5QSc1aYN+H5AAAgAElEQVQWb0QURbr3exyAU/sO6hs4d0TouRlzmZQnOhpvICc/n8bGRiQKKa7jw6nPqKT+tBTfijoKpCqDS+AVvHz130e56XdPYXTLAcvBgwfRaK4/ttVoNBw8ePCuTeifwD7MnQ7HxiNtZY/T7HzKllgR/NRqrGybsW/LCxRuf5eNQR8jK1WQ71FA/ZsODBs93NC/thrmTMzk/RVtCQixY+PGjbi4uLB161asazIYo9gF2kaeSbLgqV9nYedkzrHffXg/5im0apPbjom/Rq1R89LKBZjJFYyPiGHdunX06NGDmJiY2xxP7wqmE0Vm9WnJwlH/pUFeT4L2qKGNhYUFTw6XIpc3ScFWz6c886xBCqZqzOZU3gysFD60VrdCtzUK26KD7LB151PVcySoYunW4/bmZ8LEv4362jIKc4/TzK8PUqmcNIqAq4pFiiK6o8+jtDpL4fFeFHR6iar0E6A2LgpC2ku4mOeOXZCSIHMfApT6xU1KXDrmlmY0C/G8tcm49YLYo/pTl/g34fenQPv3E92NsjCjPCQsZCQ6uRmy1DhKrW14KNq4uNPpQFKhwkwjsOHUvhvWMIsyyMLuftVsEybuhCtysHZXBSwltScpr09Ccz6C36+q9K4MsyXWpQfn45ch6rSGZPsG1KRSgBt2OF5dd+lW7IyLj8GunlBXAJ2WQsTsW6rVYiOz4hGHvlysSydOlYxfUGss3TRkHlfRoGk6EXLpTILnGzzZ2dhPqxOZ/9F/AXB9Sv+5LFyTR4sy/XdSCtcm3zu5hGFu4UhOxn0IWHr27ElZ2fVFYiorK+nZs+ddm9A/hbmHDe0PjsMqphmOS8ppfLYQiyc+wbvlIC4l/8iBlQP5yX8auotSiiyKyX1NZMRE485bQx188EIhc75sg7OXhk2bNuHr68uaNWtw0RXxjP3vaLQ6Jh5o5J3jC3D1FDj5uwWzuz6PuvH6wM+EiSt8uWcdZ/PSmDZgHF99+CkymYy5c+caq8X/TT5YfoTTFwqY1N6Xda+sAqVAesMxasVaQ5spL/TFjIu06zYdoUpH4g8f4BgYReRjbyCKIr9nT0KirmFQSQCyoxOo0TXyUrMIzthOo6HAjl69eqFU3ruK2iZM3EvGjBlDeHg4EydOpLi4+OYd7pDstN2Iou6a/BUFMrxostVPW4okexVliYGIYfP4eGcuXNhs6C+VSgmO1pFnJiAxFxjooP8N1ul0pJ7MwL+1D1Lp3xBQWPtDv0PgORAyVsPuvlBX+LfuyQ07rFGSQr5BFiaTK7EP7IlzeSVbsn9h3IBWoDTm6EjEGmT5KrJKCkjMvnTdmJF9QpFIBJMszMQDR9zmeKwdrQjuZKxuf7FEb7JUusKXvKoaw/O2Pdx4vcdznDm1BCsbL/xaDAL0OV8adNeeroA+f0VuARZON37xvG2wp59+Y6HHBvB7/G/NfYzzEAQEvi/eiCAIBHX2pCrdluRUoxtkaKdpHJG70cxY6YNvvvgYAIsgB2y6elHySwruJeaYa3RcFPMMn3sAQSLBy6cHxQXx1NcZpXF3wi1/o4mieMMFU2ZmJjY2Njfo8eAjszGj1ZZRuIwPw2a7Crt+aZT2fIag2NlUlqWxa1UMiz36UrlXQ5VOxYXnq3noFeNJi0YNH79ezpsftkfpUMzGjRsJDw9n6dKlWFSm8LDdeXJrZEzaUcrHSZ/TzKeW5BMNvNFhCrVVdX8xMxP/VooqS/nPz1/R3Mkdv3pLEhMTmTBhAoGBgTfvfAOSU/VSsNZWCvK+249gLkHtnMNFjbFK9vBhA3E234KTazhtu0xj//wnESQSgxQso/wntPnbGJFlg0X+AfJdOjDQrw0yt4epP1COi4vLNQYVJkz8f+LgwYMkJiZy+vRpHB0dGTdu3HVtFi1ahJeXl+GhUqluMNKtk5l6JX+lH9XUcZlKfHBBigQqziKenEJDhT2pPzyOy+Ot2JRcAVm/G/pbWCjROlliF6zfJOhvHw1AfkoRtVV1N5eD3Qi5DUT/DCFToeS4Phm/4uzN+zUhIBCAOyrqKcC4QOne9mUAziWuokfnCMycQwzXSqv+WhZm7WBFYDs/kvacQ6vRXnfdhIn7QXFOKekJTdXtmzYGGrVVpJetQVvejB0XjMn2gkJCqHcwjZUJqKryCGv7NBKpPlflLDnIkRHAVUY69RXQUNlU3f4Gm5Tp38OBYSCzgD67wKPf355/c3NPom3as6/yGNkN+bTr1QuAo7s3GtpYmis5aj6YhzoZHT7z8nLJzs4GwG1CBGKDltLdAgFltZQL18pBoSmPRdSRl3l3VFg3DVh8fX3x8/NDEATatm2Ln5+f4dG8eXO6dOnCkCH/fx1kJHIpQd8NwHtOFyxO1+PfKZV8h0i8nvoaM6U98b9N5gNnW4rWVaKu1pI2TkWPNwYY+os6+Po/KibP6YzW/BLr16+nU6dOrFixAsesbYTKc9mWIeXLExUsiPuCAP8CUhIqeK3tm5TmXX9iZeLfzZtrP6OqTsW8R57now8W4uTkxJQpU25rLL0r2CZsKmtpfiIFiVzA+TFrtqbsMbTx9vWnX6dsEKDvI8tIXP1BkxRsNo7+ETTU56E+MZHYHBkKnYTyNgt52NkJudKdyKTmaLVaYmNjkUj+delwJv5H8PbWu/DI5XImT57MoUPXJ4m++uqr5ObmGh5WVjdJhP0LRFEkK2UHDs4tsbFrTvrVcjCdRu/2o1Vz/tPhuIztTJUIefnZoDaeiHr6Scku98Xa34wwsyA8FPqk30sn0gBu7BB2KwgSiHoXOi+D+iLY3QfK4m+5e6ChiKRRFubrH4PWwgab9GQKrZX06mg0cNBqQVZag1wnsOHkn9sb11TWGu7NhIn7zZXq9u0GGeVg6WVr0OhqkPwWxenyM4bnrbu7MLn9syTFLUaQSAlrMxGAy1RSQhVBuCO/kmwP+mR7uLEcLGWJXrKp9ISY/fok+dtkjPMQRER+KtlGRHQ4ABknqiivM8794Q79OOrkheSquGnews8BcBrRAqm1gqL1pbQo0383XbzKJRCMeSx3SxZ201XGrFmzmDFjBqIoMnnyZGbOnGl4vPPOO+zcuZNly5bdlcncLwRBoPlbXQlc2h9FnoagLhlUZVkjm/QZrv49uJzyM2+7FFO2Jg8xT0rxKB1Rc6OvOXH6fmE9z0/tQaXuGKtXryYmJobNmzczRHYQO0HFrL0NJJRKmbXzY0IDz5KbUsar7WaTmZxzH+/cxIPE7ymJLD+0mZjwjqTsiaO0tJQZM2bc9gnmghVHyDiZTpf0QqQyKS2+i2DtV98Zjm0lMgXvTO+LqiKZdt2mI1FBwg/zm6Rgb0LpabTbWtGitIE6uwDEAXFMkeZRK9YzrvEhMs+m07JlS3x9b3NxZMLEfaampoaKigrDv9esWUNUVNRf9LhzSoqSqakuwCdQX0g1g0KkSPDGCS4thvIkLscPQJXhg/sLrflsVzbknbpmjPBuGi5KzZHIBR52NjoC3XLC/c3wHaNP4FWrYHeM/sTlFnDCGjssSaUA3ZXvGYkUt5aDsKmpY0f6Gh6PCQVzZ0MfCSpkhTUk5aSQfvn6ej+t++kXUyZZmIkHBUN1+6b/m6CXgwk6JUk/2lDbYMxVdmzhQucQP7JTd+EfPAQrG31Qb0y2/4NtcUWW3gTD5g85aOc/hRMvgHUAxOwFmxbcCR2tI/Ex82RD6S6cg52wsDejNN6ZSyXG9fygyO4kaGwJCTIWxVyzYgk6nQ6ppQLn0S1RJVZgeboWG7VACvmGzz2Ag3NLLKxc71ri/U0DlgkTJjBx4kT27dvHiy++yIQJEwyPsWPHEh0dfdva+gcNt/ERhG4djkwt4N83E/MtjZSOfRWvni+irk7nTbd0pJvPYZlii3qwBQHvt0cqkxr6b/hKzYQXYimq28nixYsJDg5m5dJveDMoHR0Cw1fko3P04/nlbxPV8ggVRRW80fVtEvfc+rG7if9NtDotL61agEwqY0q3kSxbtozIyEhGjhx5W+OdSb3MJ4t20CmtEIVCSqdtvdgy5WvKdUZP9FffeIWK3G9xdAmjbeep7J//JAgCPd74Fsn5hYg7u2BWV8lFL1/MY5P4vi6Zk6pkBpv3JHvbJezs7Bg0aNBdegdMmPjnKSoqomfPnkRERBAeHs6BAwdYuXLlzTveAVkpRjlYHY3kU4Y3zsjrSiBpLjp5M1I/j8R5dEvMPK1Zc6oCck8a+isUCmyD5Mh8pQiiQD/7boZrKXEZWDtY4eZ3F+ofefaHnptAp4Y9/aHo5rKOK7KwOhopwKgg6Nn2FQDSkn6if/cQBIerZGGVasyK9BLpjaf2XzdmUHt/LG0tiDcFLCYeAOpr6knae56w6GBDdfuSmlOU1p5GvBTJjjpjcC9zNmNE6yEkxemtjFt1eAEANRoukY8TNjhz1Yakph5UhWDjpS/2eoUz78PpqWDbEvruActbqM1yEwRBYJTTQCq11fxWeYTQLi2puODIxbwf0In6gMvF1oFWnoGkeRjzzlTVlQajLden9AFb0RYIKq+nlgbyKL3mNbx8e1JSlERdzZ07/d2yjiM6Ohq5XI4oihQUFJCdnX3N438F+xhfIg6NQeFogdfoLHwX1VLUMxbHsYswN1PylEsGbof3EnjRD8f+zfBaFInc3OhVvWu1jsfHPUJ29c98+eWXyOVyNiz5gGcDiynSWDHkiyQ828cy7D+T6BC2B01DLXP6L2TvqsP38a5N3G++27+RUxnnmdzvMVZ89jUajYZ58+bdltRKrdHy9EuraHMxDzO5hNhtD3F05a8k5p4ztGnWNpZW7r8hIhIzdDmJaxZSnnGGTmNfwDHtFUiaQ5WZhK2+Mtw7bie9MY9P8pfhJXfDdkfTl92oUVhYWPzFTEyYeLDx8/MjPj6epKQkkpOT2bRpEz4+Pvf0NTNTdiCTK/Fs3p1MihABP1whYTaoqyg4MQZdowLPKW1Ra3RcrDGH3DhDfwtLOSqzAKyaKwiVBmEv09uYatQaMhKyCGjre/c2Ed16NRWTk8C+wZC/66ZdApqczq6Whbl7tkNj54pd5gUqHJW0i2xluKbRgKxYhVQUbpjHIpVJiegdQkpcOtVld5Y7ZMLEnRL/25nrqttfSbbXrgwhtdRYc8+muysv9X2Sc6eX4egSapBIpVKAGg0hNDNWtgeozAFEo52xKELCLEh8C+xb6WsnKW+vcPSNeMihD+aCGT+VbCW0WwtEjYSCBJGcyq2GNkPb9abO3QaFmTGX5ZPFSwGw7uCBRYgjxdtqCczRb1Bc+oNbWLMr9saZB+54vre8GiorK2P06NGYm5vj5eWFr6/vNY//JawiXWl17AksQp2wmZpJq5drqPINRJj0CbbN2tDTtphmp5bTMyWUNn074Pl5FHJL4x/z8GaRMY8+gdp6H//5z3/Izs5GSFhNe0cVv1e6MPm7I4SPfJXOjw2gU/hWLKxEPh77NWvf3XRDa0cT/9uUqSqZse4L3O2c6GTly4EDBxg5cuRtJ7K/9c6v2PyWhEIi8Pi2MZxrvMCGJT8ZG9h4svD1CEoKE2jX7U29FGz1+7Tt7k2o2XIoOUGhV1s2etfi6/c2SoU307M+RCNq6XKmJQ1VdQwZMgQ3N7c/nYMJEyaup7Ghmvzsw3j59EAmNyedIgQEfMsKIH0lOvtoMj6zwqZ7M6xau/HtvmyoytUn4jbhGwrnpPYIEoHHPI0nnFlncmmsV99+/sqf4dIZeu8EqRIODIWcX/+yuUOTLCyNQoM8RBAEmocNRdmoZvul1TzWKwjMjfZDMmqQF9dx+FIClyuvz+1s3S8cnU4kYbdJjWDi/hL3h+r2am01aWU/YNYYxPb4anQ64xouLDiU0vwdNDZU0arjS4aNhHPkIkNCEB7XDm6wM/bWJ0ifnAxnF4Bje+i96xop5d3AVmZNf/toEmsvoOyu33wsjXcl5SpZ2KjO/UAigLeX4bkdm9ZSU1ODIAi4TohAU6lFs7MOF405aRSixmiQ4eXXFLDchTyWWw5YXnzxRfLz8zlw4ABKpZKtW7eyfPlyWrRowfr16+94Ig8a5t42tDo8Btse3oj/zaDDsCqUchdqJvwHmw6P4mteg8Wpd4m96MLoPiNo9nUb5PbGon6n9sKjwyfRppdITEwMGzZs4HmvCzjKG/g6zY0VW4/SbcpigjqG077FOtx9Lfl+1nq+eHapyQ3lX8bs9V9SqqrgveEvsvC9+VhZWTF9+vTbGmvXr/GcfncjMlHk+U0TSYsoZdUjH6CjqQCURMYjL0+n6PzHeilYlzc4tuhx+sUItG5RgGDmRFXXxWy3isPOMopQ1yl8XbiGc3WpdK+KRHexjk6dOhEWFnYX3wETJv4d5KTvQ6dV0zwwlkY05FCCh2iP2ekZABScHoOoFvGc0haA746WQE7cNWOEdheodtUhaAX62HcxPH/X8lduhGMbvSORwg4OjYLMn/606Z/Jwnq105uH5JzZwJAewWDX0nCttKIBRVEtoiiyOf566Vnrpnos8aZ6LCbuIzqdjritiTQL8TTILtPLfkSjUyHZG8XBRuMpgjLMlql9XyTx+H8xM7ejZSu99XAp1RRSjj/umCG/anCt/oTFwhmkCjj6lD6nzbUn9N4OZvb35J5GOesLox9zS0KhVFCdHExO5Vbq1HozkCD35nhZOyEGWBr6NDQ0smXLFgBcnghDkEso2tRAi2oBNVoym4xEAOwcArCy8STnLuSx3HLAsnv3bj755BM6duyIRCLBz8+PJ554gkWLFjF//vw7nsiDiMzOnLAdI3AeE0LdpmzCexXgX+ZM3aDHYfAbyCVQHTeHiOOXeLvPVPyWtEfuYgxazh6DUcMm8PrsEbi5ufHunFl8GSOiQ8K0w0riki/Q9+2fcfZ2Icp7JS07erJzyX7mDfmYOtXfL9xl4v8f8ZkX+Grvz3RrEUVlQgZZWVlMnjwZV1fXvz1WWnwWn478DIlOZMSXj5MfW8eahz+kuNq4aJB0f4XBzt8iijpihi4je+0E+rZPxbuZAL6Poxtwgv21XwM6ujRfwtnaNJYU/oi36IbjARl+fn706dPnLr4DJkz8e8hqsjP2CYwlm2K06IjMPQNFB9D5jCP7kyrM/e1wHByAVqsjsUwO2UY7Y7lcjllgABaecgK1flhIjbWPUuIygHsUsADYR+glKeaucHQspP15rs+NZGGODoFoXH1xzE2n0UNOQIsIwzV1IyiKahBE2HBq73XjuTR3wrOFO/G7zphUCCbuGylx6VQUVV4nB5MKlhR85UpppXGh7hjpRpiHjLLi84S2fgq5Qr/gP3+jyvagz13RqcHarWlT4AfwGqTPI5Nbc68IswgizCKI7ZX78YtuzuVEJVqNjtSy7w1tYkI6oHaQIijtDM/9sEovg1M4W+DwUAAVJzQ0O60/Mb54lSzsSh5LWfE5alTG9+d2uOWARa1WY2+vj/CcnZ3Jy9NPKCAggOTkBzwZTl118zZ/gsRMRouVg2g2vSM1xwtx6pRE15TmKNv3QDX6HQo1lhSdWYJu40cs7zaP1itiUDQz6vrPnxSZMn048z+cTm1tLSsWTGN2tDkloh2Tfi6iqLKW2Pc3Y66UEuK0lO4jozi5LZHp0e9SXljxFzMz8f8dURR5ceUHAMyOHc9nn32Gn58fEydO/NtjZZ/L4/XoedCoweeZntg8a82Oj9cRf+iq3VmfbkwdKqWyOIEOnSdjm/wOAfKNCBIZus6rofNSzld+T0ntCUJdp2ClDGNG1ocISGh50BUHWweGDRtmsjA2YeI2EEWRzJQd2Nj7YucYSDpFSLRqvOM/BJkVxedGoimtw+OVtghSCT8dzUWjsESae8wwhp2jjFRLvYb9UY+B14yfEpeOo6c9jh73ZicWANtg6LsXLLzh2ES49NUNmzlgjf0fZGEA/uGjkGl17L60ltHRAWDmYLgmF2qQlzWw+8xxqutqrhuzdb9wSnLLyDmff901Eyb+CU78QQ5WUnuaktqTWF/uzppGY+FTwUzCsM5DSDrxBQiCIdleg5YL5GGPFe784XNamQW6Bjg3E3I3g8+j0G0tSM2514xyGkidrgH1KJHGWi01Kc1JKVlm2BwY030QCAKWfkbnsr17D9DY2AiA21P6zYeqtUV4iw5kU0IdDYa2hjyWOzxlueWVR1RUFKdO6a0VO3fuzNy5c/n111+ZPn06LVrcmb3aPUddrXdZuE0EiYDPe9EEfNWP+oxKajvvYeDvAYSGdaFu9Bx+r3aiNPcIictGsTTwOYasGYeiuTFo2b2unl8OvMKzz08gPj4eReIqevtKidf4M23l72it3eg1+wcaVSU0N1/KyOkDSDudyesd55JzPu8vZmbi/zPfH9nK0ZREJvUZwcZla6irq+Ptt99GoVDcvPNV5FzI543od2lU1VPYsQXDP23H8VMn2DTNqEOV27jgMfhZ3Es+JsTDlw41v2Beup3sHBFV+81IfEegaszmVN4MrBQ+RLnP5ZP8ZWQ05BKZ6oNDjbUpyd6EiTugoiyVqvIMfAJj0QkiWVymY8oBJNXpiC2nkr0gHZm9OW7j9c47/91XAGXpaGuMJ6SBUVDooEVsgIc9jSed9bUNZJ3JvXenK1dj7ad3KrIOhLiX4dyi65oICPg3ycLyr5KF9WnzCjpB4PLZrQzp5g92wYZrpWV1mF2up0GjZkfS0evGNNobm2RhJu4PJzbHY+NkTYuOAQBcKl6iv7A0mKRKo5TRuqMTL/UZRvrFzfgGDcTWQf+5zKCIBtSE4HVtsr0oQslZyP0Cig9D4HP6WkiSqyRj95BY++7YSK04F5qOiIh4oQ8V9WcpqdW7E/YIa4eNXAnexvmo6rQc2KivyWLfzxeFuzlFvzYQqFIiIpJy1enqlTyWO63HcssBy7vvvoutrd6NZP78+chkMsaMGUNKSgrffvvtHU3iXqNDpndZOP/JHY3j/mwkIZuGoqvVkNVrE702ODMqcgDSIS+yurg5VarL/LZiMK+Lvkxa9hoSK6Mt3bfvFmDWfDutIlvxxRdfMCUwGzdL2KhqzaIVv+IY0ZP2z8ynIusszrrVvLTkKUpyy5jW5R3OHrp4p2+BiQeMqjoV0378DCdrOx5q3o4NGzbQp08fejVVnL1V8lMKmdnrfapLVcT7uzPjm8GcbrjAyoc/QK3VAPojWU3/BUx2m083J5G+Nnnoaos4eEjDZdcZOIb2QRRFfs+ehEZXQ2fvrzhdm8L3xZvwUDnic87RlGRvwsQdYrAzDoglj1K0mhrCzv4ISndKLvanPrUc9xeikFop0OlE4i5LIfNa90j/2ObIHCR413ohv2oxk5GQhU6r+2cCFgDLZvqgxTYU4t+E5Hn6RddVXKnenXbVwsXayo3GZsHYFGTh6G+GU7NQw7XGBlAU6F3AbmRvHBYdjEwhM9kbm7gvXM4qITMpx1DdXq1VkVa2GjtZBAd/q6exwVjYtUVECPlp60AUiez4kuH5s+QgQaAFf6ixUnER0t6F2nQInQbtPtU78/1DKCXmPOzQl3zZZRrbaylL1JsBpJTqNz0lEgmdvENROYAgN25a/rzqYxBFBKkE18db0FAk4rAlHxlSLl1VRNLW3hdru+Z3nHh/y+9Ip06d6NtXX6DK09OT3bt3U11dTUJCAm3atLmjSdxrimrMyW/0gtPT4NLXdzSW46AAIg48itRGwcVhm/D9vI75PSfh0nMYi/ICqZRYcXTnNHoVnOHhj0ZwJYjWamHeyycZMsECCwsLZk+bzHdDlOgEKUuLW7Hih58IGTaZwH5jyT62FRv1Nt7a+hpatZZZfeZzaO2xv56Yif9XvL1hCYWVJbw7/AUWzHsfuVzOnDlz/tYYKSfTeaPbPMqLKjnt68qIl3pQElrI+me+pDDXuEhwi3mF50N2M97tAq0dBDSWoaxf10CxOoKox2cCkFH+EzmVW/F3GIOtVVdmZX2MQiej1bFmdOncxZRkb8LEHZKZsgOJVE4zv56kU0ho6i7k9SWIIa+TuyARibkMj5f0v6Wbj+egtrDHItcYsCjM5JT66wOSh52uzSMz5q/8g46dSjfouxscoiDpbUiYcU3Q4oAV9lg1ycJ0huf9w0chAfam/MSwboFgZtTFmws1yKvUbIk/SKNGffWrYW5pTkjXIM4cuEBDXeM9vz0TJq7mj3KwjPK1qHXVWBzvzEZ5vKGdzMWcGQ+/wJnT32Hv1AJvP/1ntZIa8ijFDzeUmBkHrk6FfQOgIR9aToPIeXAfahuOdBoAgHaiQOrvl7EzCye9bA0anT6fekjraBAE7Px9DH22Hs1DLNwPgOsz7QAoWZWBP24UUUEFRmlnM79eVJSmoKq6fdXQXwYsOp3ulh8PMnK5nDbLh5JX5wJxL/1lsuCtYN3WnchjT6AMciD95d1oXkvmx2HvENi6G++mN6fApgVp5zcwUHWciJeNwZyqAt6b8QsTp3ShsLCQdZ/OZG6MA5dFe5ZmerBhwwa6TvkK17DOJK39EEvdaeYfmoWNoxULRn/BLx9uNSUc/g9wPi+dT3etoZ1fKOZ5tZw9e5ZnnnkGP79b3x2N25rA9Oh3UVXUkBDgjk1Uc1o/q+TQ0m0cX2vcxQhr25VJvcr5zG8tDgoBTcgMft2ioUolEP3mcqRyBQ2aMo7lvIyZ1JH2Xh/zQe7XFKgvE57cjFbuofTu3ftevA0mTPwpv/76K/v37zf8e9GiRYSFhTF8+HAuX758/yZ2m2jU9eRm7MPDuytyMyuyNTm0PbsBlO5U5sWgOlmI61PhKFz0ibmf7s4DUYfmqoKRrs2k5NiJaKp1jA0ecs34l06kARDY9h86YbmCmaPe8tipI5z7CE5O0duxckUW5nadLKxf5Es0ymQUndvOw528wNYoKS8pq8GssI6q+hr2nz953cu1HdCKxno1yfvOXXfNhIl7ybGNp5CbyWkdq8/XuFD8DTKJBXUfutosXI0AACAASURBVJJdZvy/at/aFT+rUhrqymnV4UWEppzPc+QCf0i2LzkBO7tDXR64j4HIuf/cDf0BH3MvOlpHUdy6gnKhCtuy0TRqK8iu2AjAqOgByAUpMl/jCUtuGZz+9S0AlAGO2La3pHR3Ff7F+k2Iq2uyXMljuRO3sL8MWGQyGXK5/JYeDzJOdhYMjomm4/ejyKu1Rzz2DGSuvaMxzX3taHXkcWy6eJK3KI7cx3axfdwiQgNDWZCkJNO/H1Xl6UyLsMJpoLEqac4lWL9hBTED27Fz5048c34lJlDJaU0g687Us/fAQWLe2YCVqzeHPnoGC0kOC4+9hXeoJ8um/sg3L69Cq32wA0QTf44oiry8aiEarYb3H5nEB/Pn4+rqyiuvvHLLY+z4Zi/zHlqE3FxOZucW5NtaMumtEFJSL7D+ReMJopOjPR8+WsMszx+oaBQpa/MdCQkipanJRD0+E6fASADicqdRr7lM+2aLOFqTwsay33C/bEfrqhamJHsT94U333yThgZ90ubp06eZNWsW48aNo7Ky8m99Vh4UcjP3o1HX4RMYSyEV+KZuRllfBiFTyVmQABIBz9faA6DTiRzNF6H4Ao211YYxAno7obMQcShzRKm4NhE3JS4D9wBXrOwt+cdR2OmLS7r2gEtfwvHn9RatGGVhqRQamtuYO1DfPBSL0gICg+UoXYyysIY6oyxsw8nrFzbtBul3t09sSbhXd2PCxHVUl6lI3n+eyL6hKK3MKa1NoKT2BJ6Ng/mxogCxSX4NMKh7P5JOfIHCzJqQqHEAaNFxgVxsUOJFU/2h3C2wuy9oasDzGWj+GEik9+P2DIx2GohOIlL9cD01Z0IRkBlkYQ629oQ6NKPYTo0gNa75N+04ApX6DQS3x30Q1SBfloYFZlwkH7HJdONK0cw7kYX95Upk37597N2795YeDzpfzxjEy08NpfuPj1JYa4V45EnI2XRHY8odlYTvHo3TiBaUrLtI6oBNbB33Eb6uXny2t5hKn/YUZxzg0xeGoAyxNfQ7uRvK2YGnlytvv/02b7Utx91ayhZ1R7YcPUtySib93tuMRKZg1+xHUMpVfHB4NuE9WrLlv7/x/rBPqa9t+IuZmXhQ+eXkXnafPc5T3Yewb/1WysvLmTlzJlZWVjftK4oiK2f8xBfPLsPR25HkNgEkVDXw+uS2aP0rWDVyIQ31xv8XS59qpJ/rGeLLtFz0fAVkYcR//x4O/hFEPd5U96F6P5dKv8PDui/21oOZk/0pZmo5Hc+0YPSo0SiVyj+bjgkT94zMzEyCg/UJ2T///DNDhw5l6tSpLFq0iN27d9/n2f19Mi7qK0f7Bg0kQ5NB67O/oFW6oqoZRMWuTJxGtEDpp9+V/O1kNg2WTtjlXVsZ2ixW/34MsIu+5nlVRQ35KYX/XP7KjZBbQY9N4BELacvg9/GgU+OINfZYkf5HWVirUQAcyviFAR0DQGFjuKakBlmNhg0n916n3vAMcsM9wJW4LQkmtYGJf4y4LQnotDo6PaKvj3SxRJ9sL1sVym8Y5fpmvlZM7teXkqJkQqLGozDT2xFncZlaGmh5pbJ9yhI4OBxkltD2O7AON1a3v4/0sO2Is9SB6mH1XPw9l2Z2g8ir+g1Vo96KuXdQW5BKcPIPMPTZdFoH5z8FwHFkOFIrgaJl5wkQ3aiiliIqAbC29cLOIeCOEu//MmCJjo6+5ceDjiAITB3bhYUzn6X/xie4XGuO9uBjkL/zjsaVmMsI/nEInq+2o+pwLnkxW/h19Ps4WNrw0TEdGltXio9/xdzPXkTmZNQt/vptIy2756BWq5n9+sssH2aHWpSxQdOTzdt3Uao1p9es1dRXlbJjxmAUCh1zd0wl+rFOHN90mlm93qey+Pbtmk3889Q21DFl9UfYWljxVOtYVqxYQZs2bRg6dOhN+6obNSx64ivWvb8Zn9Y+HG7hxdmyGt6d2gOfxyRseuU7ss9lGNq/PkBChzAbfsqCBG0wbbu/xf75TwLQo0kKptHVcSTrGaSCkk7ei5mb8xnl2iqiEpszOnbEbdWCMWHibmBtbU15eTkAu3bton///gAolUrq6uru59T+NqIoknFpK9Z2zbF3aYk0bQWW9eVIQqaR84H+pKDZtA6G9p/sygGJFKtC40LIwkpOvruc+hINY8Meumb81JP3IX/lRsiU0H0dNBsCmT/C4cdA20DAjWRhIc9Qa25G8fntDGnvco0srKxMheJyHUVVZZxIP3PNSwiCQLuBkZTklJKZnPOP3ZqJfzfHNp5CIhFoPzgKtbaGtNLvsVdEkLlSR3mJ0QSieWt/UpOXIAgSojpPNjx/jhwEoKXoAQmz4MQLYOkL/Q6CYAMI+ur29xmZIGWk8wC0rjqONpwmyHE8IJJaqk+jGN4pBgkC5v7GDfikbMg4vgrqCpE6eeDSX0HtBRXNT+hPYa6WhXn59aSqPIOqiqzbmt+/TusxtFdLlix4nUd3T6CiToZ67zBD0tDtIkgE/D7qhd+nvam7VIZq4D5Wx86gTg2rL/uhE0Vszqxh9JdjEeTGZKqfFpfSKVbG+fPnOfjDh7zVx548tQ17tB1Yv349Cr92tJ/4HuUZZ9g7bwxSmYRXVz3HiOmDuXg8jamd5pKfUvgXMzPxIPH+5mXklBby9tDn+fSDj9DpdMybN++mkitVRQ1zYhewf/VRwmLC2exiT2qpik9mxOAxSsPJNfs58O02Q/v2/gJPTxzGpyl25NVp6T98GUk/fkRZWhJRj8/AKVAvq0gomEdVQwqtPeayvyaDfVXHaJbryGjfIYSGhv7ZdEyYuOc89NBDTJw4kaeffpqUlBQGDtTXHElISMDf3/8+z+7vUV58garyDHyDBnJZV0zIuXU0mjtQq3mYkvUXcRjoj1VrvQOfTidyIFsLWjXFqacMY3i0tUGrELEotMTbyf2a8e9phfu/i9QMuq4Bn9F6BcOB4fhr9CdHVxeRdDJzpNq/FXJVBeFBNUgcQgzX6mrALE8vhbuRW1i7QXop68mtJlmYiXtPfW0Dp3Yk0bJrELbONmSU/4RaV4Xbxf58Z5t5jdHE5EeGkp26i8DQEdja6zcQVNSRTTF+GmssD42HswvAsR30OwCWPlCVC1auILv39VZuhWFOsQg6gZwexZhVtsdc5kJKqb4mS2TLMPwsnMmzrrvGGGDTyQa4tBikctxG6zc665ekYY8VKRSgbTpd9brDPJYHLmDx8fEhODiYyMhIw+PcububYNcu1JPln85m0olJ1DYKNPz2EJrCI3c8rufLbWn58yNoqxqxeiyZOeGPk1BQT4IykrqSdAbKKmk9t6ehfUMt7N+eiX+IJUuXLqWDeJJeAUp+r/cjscGTNWvW4DPwOQJjniD76Gbivp2BRCJh7HsjmbT4SYoyipna+W0u/J5yx3M3cW9JK8ph4baVhDcLwKfRksOHDzN69Oj/Y+88o6K6ujD8zAzD0HsvAoJYEUVFsfdeYy+xRGMSjYktxhh7iYk9Bo2xxBpjb8SKil0UCxZEutKk987M3O/HRCZ8YCIplmSete5yOXeffc65TLnnnnfvjaen5++2S41L5/OWi7gfEErzd1uyUywhLj2PH+b1wOKdEp5ExrB3/Hdl9sZ6InZv/Y75Ic5YEkq9ZtPRKtTm7q4lv0rBVFnBMgru8yBpGea6DTEzHc7ip77oFEl5J69dlVMra9Dwd+Pr68ugQYPQ1dXF398fExPVTW98fDwff/zxax5d1YgJ/1UOVrMHOU9+xLAgjeJaE4hbGgwCOM5pXmYbcDeWQgMrzNNuUVxUVPa6aQ/VzU8Hg+b8P2GBUUi0JLg1es07LM8Ra4HPVnAdA89OY35hBJalEqJILicLc2/4LgD34vxo2cANtNXVvPWFfMTFCg7cPFtB+lW3dS10DXQI0sSxaHgF3D3zgJLCkt/IwTYiEemiWGbLjUK1bFO/jikuMtW9WKOWn5W9Hko8egXptPOfDHGHwWkgdDwLOlaQmwhKORi/fjnYc6yk5njm1qTIp5SLN4NwM3+X3OIokvMuo6OjQ6tqHii1xVg4qb9vDt6RqTLwygswaOKMQR0JqXseUSPXkiJKiCMNAEeXtgDER/+5MJI3bsECcODAAYKDg8uOOnXq/HGjKlLNxphNq+YzP2IacrmCotPdyY27/pf9WvRzx+P8EMS6WrSaUURvG292hsjJNnEl6c4+5nXrju2IGmX2qQmQnB6JvqGUaVOnsqaDgLWBhOPyFsTmwM8//4z3x2uxqtOMez8vI/zUdgC6fdiBL49OobigmC/bL+X64YoZVTS8OUz5aSXFpSWsGDSZxYsWY2hoyBdffPG7baKDnzK92QJiQxLoPrMn3yblkJSRz/ZFfTDtWUJqcRYH+i8lP0+d/33zxu+5omiMV9Ea5LrutG7/JRe/Hg2CUCYFUwoKrjx9H1DiU+0HZoQvo1BUTLtIT0b0HaYJstfw2vjmm28ICQlBJpMxY8YM1q5dS5MmTcrOT548mffff/81jrDqxIQfR0uqi4NTK6xDNlIi1UcsepfUPaGYdnHBqKldme3qk09BS5vq+UFlr4nEIopamlOQWMJgj67lfAuCwOPrEbg0qIZMt2oFZ/9RxBJo+j3UnAjJF+h2fg7KkgwSfiML6+Q8gGQzEzIiL9KvsS4YqWVhmZl5yFKKiEqJ53FiTDnXUm0tGnbx4PH1SLLTctGg4Z8k8Ihqp7NZ30ZkFNwnNT8QR6EPF6OyKUlXvzdbtPYi7MHPOFZvj7W9KjusEoGk9PMMPDUDWcYD8JgNLXap5JMAz6VRb0D8ym8ZYd8XgKP5Z6lhPgZQ12Tp790BMSL0apiV2V97XERGRroqmZWhLTZ9ZCjz5VjsVSXQeC4L0ze0xdSiFnExAX8qBu2tuTM5dOgQtWrVwsfHh0WLFiESicjLy/tLPo0MZCxfNJfNWbORUIribDfiwipW2K2yXx97PK+NQGZnyIS1jrjq2/FtiAFKmSFRx+ezetE8DJpZlNlHBIOhbQIZGRksnjWVnYMtKJCLOKXdg8TkNA4d9aPjgoPoWzlyaeV4kh6qxujdsyFfXfgSPSNdlvZfi993Z/7y2DX8/RwPvozf3UsM9enKw/OBxMfHM23aNCwsLF7Y5s6ZB8xsvZictFwGrx7O3KBYMnKK2LO0PyZdSkgSMrn4/veE3I8ua/PB2PH0HvgeYQHjEYsU9B60jYd7V5Meda+cFCw0dR1pBTepYzWZYxnR3JOH4RZrw/TOH2uC7DW8Vh49ekS7du1wdnZm4sSJnDx5sixb2NtIcVE2iU+v4OjSnrykwxjnJpDsPoz4bx6BUii3u6JUCpx7qtqBKIxS7/ibuOihlIlQxIhpUr28VDM5JpXs1FxqNXPjjUMkhkaroM50DNOC6XNuLk+L1GoJB5kN2TUaIFKU4uGcACbuZefyc0CW+OIikk16NkAQBG6fvPePT0PDfxeFXEGQXzDVGzhh7WxZFmxvfMSb7SahZXYiqYixLR0RlIpyuysZT3+kq/80dItzocVOqD9XLaUSBMiOBZmx6niD6OzaCp14KSGuUejK3LDQa0JM5n5KFXk0rFsfVz0r4vTVO8BKpcCxe9oQvg70rLDsoo1YV0z2plBsMSWaZEpQ1VVyrN6evJx4sjOiqjwurT82efUMGDAAHR21nu/MmTO8//77XLt2jZo1a7Js2bIq+UtOTiYyMhI3NzciIyPp06d8DnsBuOHWkO39b1NyuSfbLs9n+eqKBSZdXV05duwYAOvWrWP9+vUVbDp37szq1avRczfDr2M0TXbp8eUeD97vnsS2J1a8ZxtFkv9SvtgynwVdZlASr3o6fveigvrNM7l8+TK3unsydNoedj8xI9iuC1rRJ5k4/SxPHksZZFrKngmt2ZPpwq7DJ3Fv4sbEn0czr9syNn6yk2XzV5BhnVBWsDIkJASA06dPM3Xq1L80J4ApU6Zw5kzFhdGECROYOHEioNKfR0VVfDOuWrWKLl26ALwwRuLo0aMv/Ds9522ak1IEhR2c0JfpMsi1BRPGvI9YLGbNmjV8++23lc5p7nuLsUx0QilWEFstlVE7L4FIypHVw9BrVcxjUtk/ZjWXdp4ra28sNUCqq82PBxZjpbxPaGkvjr4zgiGm0WQqZIxZeQDlyoNMnDwEg8bfYKDtzKLFocSOC0W/WEb+5kTaz2r/UnOCf9/fSTOnl5vTP8327dsRBIEbN25w/PhxZs2aRUREBO3ataNnz5706NEDBweHVzKWv4OnkWdQKuU4u3dHGrKcUok2Ip2xpPx0FuP2Thi3UM8l4M5TigytsSaTxw/VN+Jm7W0RlAItdZsg+b+0p8/lwDWbvaFxPSIRNFgCWvpY3V+A9OxYlB0uItZV7SrV9RhOwa3LxCSdpo77QB7FaINCVRTSRJRPtlzJgRv+fNH7vXJuG3XzRCQSEfRLMO3fbfnKp6Xhv8HDS4/Jzcij16edkSsLiMrYial2PTLWCkQK/mV2Vg1tSY0+gIW1B05uXVQyr+AvsQhdTYGOCSVtDqBv0bq888J0KM0HK4/XUijy9xCLxdQPc+dmhxAOx52hgcUYrsdOICZzPzVsR+Nl7kJEQTJmdnZkJKoq2u+4Y8XoFvch6w5a5iZYdikl+cgzXO978qx+JtEkUwsHHF3acf/meuJiAjAxr9qDlpfeYRGLxUgkkkoPPT09PDw8WLZs2d+SavD/JWGBgYF4eXlRs6Zqy3j8+PG/237VqlU4ODiUHX9U2FIE3I/M4q7lKsxk+XRULMDY7MVPv1+WfBMFq5xPY5qvzczr3jwoNiIw2xohNgSjpBsM/HEsYn31D1DIzSJ0jQopLCykheg2rV10+CXRnKupBlSvXh1L94aczrFHT6ygl3Ec8iJVFVGLaqYkOodRpJuHSYY1VgkuiJRv1gfgv0qGlYSnGUnM7fs++3fsBkBPTw9RJV9QgiBwc9d9rBKdkUtLiK6eTKhZUwQkNDGLxLIVPCaeB5svcnm7erGiI9LGopo12to55Id+TSpuaBVVp7NRAiLgTK4dSkSAgNRlL3JlPk0d15HeXxulRMDqsBaJ0fGv6Ipo0PD7iEQimjVrxqJFi7h79y5hYWH06tWLEydOULt2bRo0aMCXX35JRMSbH7sX89gPADdTAwwyw4hw607eV4mgEKg2t3w8yorjT0BLm2bSR8jl6roOoo7W5MWW0M+jYmxZWKBqIVvLp0aFc28MIhF4fEms12eYZj9F4d8e8n9Nk2rZnhh7a/KSH9G/UREYqnXxhYU5yNKKuRMbRnxGcjmXptbGuHtX586p+8hL5WjQ8E8QeFgtB4vJ2EeJIhvbmB7sMc1DyE0vs+vX0pXSkjwatfwMUXEqnO8GoatJsqjJ5W7bKi5WALKeqP59w+Rgz+lh1BZRIex+dozqpkOQiGREpG9FJBLRw7MlEsQY1lRnEr10K47cQgHC1qlkYb1VywudLcmIERP2qyzMoSyO5U8E3gsvyaZNmwR7e3th1qxZwqFDh4RDhw4Js2bNEhwcHARfX19h0aJFgqmpqbBkyZKXdVkpTk5OwoMHD8q9duTIEaFjx45l/8/MzBQAITc396V82tvbv3T/UVe+FxQ7tYXodRbCt5v3C0ql8qXbvoiCqEzhRrX1wjtNBgpa73oKXy+2FVbPEQvrYpYLTdd3FRAhoNroEQyMEWzsrASf5s2E8IQswWJ+tGA8J0pYtHarMH/+fOH+/fvCnZ1LhB/aIJya1UdQKhRl/RQXFgtLB3wr9GSEMN1nvpAWn/6Xx67hzxOb9kzQe89HcJ/eV7hw6aJga2srjB49ulLb0pJSYc2YjUJPRgifes0Wjp96IBi0+krQa7FEOB8ULdwTYgRf4biw/N42wUBPVvZ+0RJJhHNnzwkKeanw7fKGwsovxcLSQ2eEW1vnCz+0Qbi5eXZZH1Hpe4UttxAuRA8XZgctE+re6SqMPTNNUPzmPaRBw5uGUqkUFAqFoFAohLy8PMHPz0+YOHGisGnTptc2ppf5TZHLS4T1S0yFXesaCsWnWwny3bpC4N1jwiXR18L9jj+Xsy0ukQvaY84JfBYpjPlgkvrzra8l1LndRTBb2kLILqj4eze58RxhuOVHf8vv1D9NupArXAibKAi7pIJw2E0QcqIEpVIpDDnfTVg9G2HP970EqvUom7tIhGBSr5rAiIaC75k9FfztWXRY6MkI4d75kNcwGw3/dpRKpTDa4RNhXPWpglKpFI6FNhO23dYVgtquF0xrdC17n4r1tQTfRdbCpmUOgjzpiiAcdBaEXVIh+eYoYb38iBAuJFbewcN9ghC8XRCUb+bv75MHsULT2X2Eune6Cg/zw4WAqKHCllsImQWPhHv37gk1P+gmiHrVLrsOgLDjC09B+ElHEOIvCsqgDcKtWuuFayarheN5NwRf4biQJxQKgiAIO7/zEH742qbK31svvcOyY8cOvvvuO5YsWUK/fv3o168fS5Ys4dtvv2Xv3r3Mnj2b9evXs23btqqvmv4AHx8f7t69S3h4OACbN2/+2/t4TvUWH5JVZw0uxtl0LfyYyYu3U1Kq+Es+daubUP/CUKamtsY91YLVUcYg1qLk4HKGDBtGtY/rldnmZYNcSCMm+gm+y+awc4g12UUChxXt0DUw4ujRo5i2HIZbx+E8vXqUoM1flrXV1tFmxt6Peeez7jy+HsmnDWcTfPZhZUPS8AqY/vNqCkqKWD1sKgvnL0AmkzF//vwKdgU5hSzsuYqzWy/RqFt9Oq8YxoCFRxGJ4LTvCBwa63CZR4iSi1nbfQZ5vykaum7dOtp3aM+NS8tQZt8lUDyOYTUtuLNzMWbVPfAaOQeAYnkmN+I+QSYxp1A+mCOiAMzyDVnZfK4myF7DG0dcXBwDBw7E0tISLS0tpFIpUqkUIyMj+vTpg6+vL+PGjXvdw/xdEp5corgwk4bVG6GdGkiYSxu0FxeCAM5Lyj9xPXopghITW+x1Sgi8pC6MadzEDEEOnpI6GOmWLy5bXFhCTHAstXxqVLpj+6ZhhgGJ7oO41GwyQkEc+LdHlBNGQ7c+ZBgZkJoWgG01dWpmQQBLcS4oBQ7erFgs9HnVe022MA3/BJG3Y0iLz6BZv0ZkFj5QBduL+hBxu5jMOHV2sHpNbCgtTqZTPR8k5ztDSTqCz4/4NxmDtkSf6lhVdF6UDUWZquxgojfz99exjj02Z0wB2Jt2nFqWHwEQmroeV1dX6hrYIRjJMLVRz2/9RSkICkg6gUgkwnaYBfKsYhx2qWpnhaOSjzm4tKMgL4nMtLAqjemlr1RQUBC1a9eu8HqdOnUIClJlNGnWrBnx8X9dWjJgwIByaY3DwsLYuHEjvXr1onnz5v/4DZaZ10cU1V+Fu2kG7xt9ycBP15OR/deKlem4mNAo4F2+jupCUa4JfmkOkJWC6NRmxi2ainFndW79tGdKlOJ09u3dT1HoGWa2M+FOopwo+3eQSCTs27ePemO/wap2U4J3f034mZ1lbcViMWOWDWXmgU8oLZYzt/Myfl54+A9lcRr+XgIeBbHvhj99G7Uj5V4UoaGhfPjhhzg5ld/+TU/MZGbrxdw984DO49rSeEZv3vnyINpSCf7r3sW5gT5nuYe0SMS23guJS0gpazt54qeM/+gD0pNDuHFhAclKVxq3/JKgVe+BINDm861IpKrMQUHxn1EoT6aW+UIWJW9DBHzjMgNjfSM0aHjTGDp0KImJifj6+nLu3DnOnz9f7ngbiAo9DIArEQiIiBb6kncwBrPebhh625WzXX1KlR1sQE0loaHqYF5Zayuyw4vo7VGxOHPk7RgUcsWbG79SCW7Y8sC1LenNfaEoBfw70FNsyWMXR+TFeYxolgx6NmX2CmUOsoxiLoXdJTO/fKFkF89qmNubEvTL3Vc9DQ3/Aa7/Rg72OE0V02zq58Nmx3QoUt8Pdq5dShd7HZwyjoCeA3S+RGL1bmSRTy3skSCp6LxMDub8D8/izyMWi2lsWx/ZAy2OZwSgo+OJqW59ItO3o62jpI1rQ7QlUnRrqBcsN28Ek4kTxOwEiRTrrgISYxklayPQFiTlFixAlavev/Sdf506dVi4cCH5+fllr+Xl5bFw4cKytMNPnz7FxsbmRS5eiidPnvD48eNyMSytWrXinXfeISwsjGvXrlUaGPp3o+PxMQrPr6lnkco8t2V0Hu9LZFzGHzf8PZ/OxnQ6M55FkR0IyDIiptgW4eElTKLuM/yHj9Gppb55TEkspVSZy/QZkxlfO58WzjpsvCPHtMkAioqK2LP/IC1n7Ubf0oFLy8eRHFI+JXOL/k1YfXsRzvUd2T3vEAu6r9CkgHxFlMpLmbRjGTpSGXN7vMeyZcuwtbVl0qRJ5eyehsQzvdkCYu7FMmLxAByHNeedmfvQ19Xm/IZRVK9nxAluIxFEnB6zmaCb6ieJ3Tt2ZcW3K1Eq5Jw6NAalUs4p6XJax28lPTKYBsNmYllTlVrxWe4FwtO3YGvQkTUPQ8nWL2CwtBs+9o1f6XXRoOFlCQ4OZuvWrQwePJi2bdvSpk2bcsebjiAIRIUewcXKEVn6NSKrNcd4kTaIwHlRq3K2mTmF3EhR/RS7Ft8vd06/qTlZDwvp2bB8G4Cw65EA1HwTM4S9ADdUD+YeODeF1nuhNJva1z7CzMYGhUQLF9NbYKSez7MYBbKUIhSCEr+7l8r5EolENOnZkITwJBLCn6FBw99J4JHbmFgZ4eptp6psL/Mgf7WCSwW/lNnom0qZ0jCN2oYKsOsKXa+DWQMeoYrRqo1j5c6znqjqFRnZv4KZ/Hk8O9TFcL8OxUIJfpnnqG05kVJlLpHpO6nrXos6+nYkmqgVSEqFnA3BHlCcCsXhSMRZ2IypQ+GjdGqclZJGDunk4uDSBkSiKsexvPSCZfPmzQQGBmJjY0PDhg3x8vLC1taWwMBAtmzZAkBaWhqzZs2q0gDeZCT1pkL9eXhZBs0CpwAAIABJREFUJ/Ndk/V0HLeOK8Gxf8mnjrMx7x/5jPGxTdicbEGxoI9wfCO19C3otHkIEjN1Lv2M1Hwy0nL4cMIwdg4yx0xPzKzLWjRs05PMzEyOngmgw8KDiCVanJndl7zk8mOzc7Nm+fV5dBrbhjunHzC54WxNkclXwLqz+whJiOLznqPY9+MusrKymD17Nnp6emU29wMe8XmLRWQ+y2LKjg8QN3Vj4MwDmBjqcOGHUbjVMuYXglCgJGLxBQ7tOVTWtq57HfYc2odEIuHWlWWkJgZxQT6W0XUsePDTYkxd6pVJweTKQq4+HY9EpMujp225ax2Jc6kdn3tMeOXXRYOGl8XHx4fIyMjXPYw/TXLCLfJyEmhuo5JxhRZ2h5MpWA6ujX798hKR3WceoTSzp5q+guCraumTtr0uYl1tami54GZdrUIfjwMjEYtFb0aF+5fEFAPMMSSaJBQOPaDtYUSKItbEByGvZkZxYTQO1dT1HQrzwU6cDYLA3uunK/hr0kNVeDdIU/Vew99IQvgz4h4l0LSPF7E5qsr2dk96c1pfjvyp+r32UQsFdnpiSmtOgbZHQGZGEaVEkYQtpphhUNF5aQHkJ4ORo2rR8gbj2aEu+v4ydIq02Zt2nOqmw9CWGBOaug5XV1caGDmCsQ5WLuqF2XeHHoNED1JOgSBgN9IaxCIM1yYBKlmYjq4pljYNiP+ndlgaNmxIREQEe/bsYfTo0YwcOZK9e/cSERFBgwYNAOjfv/8r0xULgoCBQSVvhr+berOgzmf42Caws+MOek7awu5TD/6SSx0nY1btWEbD9OpsSrZFUVKIzoG1tG/SiYZrOyDSUumRBQHy8rO4eyucHRtnsWOwFZmFSr56YIV3s+bEx8dz+eFT2n6xg8LMFE7P6k1pQfnaNDJdbT7ZPI7J28aTk57HzNZLOLL65N+SzU1DRZKz05l36AecLezoVb0pO3fuxNvbm759+5bZXNh9jXldVBn1Fpz6jERzI4bMOoilqR4XN47Gzc2EY9ykgGJK9z1lxdyvy9pamlpw/MwJDA0NiQo9xrWzs0nDjXuyT7A/86m6QKS2DIDgZ4vJKY7AQDGGvXpBSAUJ33nMR0tUyTa1Bg1vCNu2bcPX15fVq1dz+vTpt04SFhV6BFNtsCiJItauMfpf6CLSluC0pGK2oHXnE0AqY4y3CX5+fmWv6/tYkP6wgMHenSu0EQSBsOuROHk4omugU+H8m4wrNhRRSgLpYNsJ2vkhRcwEnRwsZTC0eQJoqR/uaGnloJ1RwpmHgWQXlFcJ1O9QF20dKbeOa+qxaPj7KJOD9WvM49Qf0BLrIV1djS26l1Th5YBEDB+0F/HIuB/Sxt+UxaKEk4ACJXV+b3cFwNSl8vNvEI617bAwM8XivDFPihO4UxhBDfMxZBU9QmoSRQ1jOyx1jChyNixr8yw6lLulnSEnBIqeoGOahXlvNwqOx2ESqbo+AgKO1dtTWJBWpfFUKRhEIpHQo0cPPv30UyZPnkz37t2RSP7lNz4iETRYDDUn0cruKUd6H2DMvH0s2HjhL9306zmbsH+lLwVZdpzPtCY/MQSrgBP0HzgSp1kNyuxKSwRy8jLY4Lsb/fTzTG9tTGBsMeflDalTpw6PHj0iutSYxu8tIj3qHgFfvYtQSbxKh1GtWHljPjbVLdkydTdLB6wlP7uggp2Gv8bMvWvJKcxj1fCpLFm4CIDFixcjEokQBIH9S4+xcvj3GFsZ8c2VOdzOK2HkvMPYWRpyceNoXF1M+YVbZFOAWVApn4/8pMy3TKrN0ePHcHJyIjnhFif3D0WQmrGh+Ac+l/xMRuTdclKwjIL7PEhahoGkDtsScynQL2aa3ThcdF/wRapBwxvC/fv3uXnzJtOmTaNbt2507Nix7OjUqdPrHt7vIggCkY8O0dRaHxECj+M6oX0nH7tJXuhWNyln+yQxi9ACQ0CgkTSC1NTUsnOGbazIelTEwKYdK/SRGpdOxrOst0oO9pznsrAoVE9csW6NovU+tBHo66RNXfP7SEzUu0YJ0XJ0UguRKxX8cvdyOV86ejLqt6/Dw4uPKcj5a3GmGjQ85+r+m+gZ6eLQrIS0giAchb7EXE0nKVZde6VHIzGBxTq4tFfX2hIQeEQc2mjhim1lrlULFpEYjCvumr5piEQi6neoCz+oUoergu9V6oyw9A24ubpST8+OHCsttKTSsnZfn/p1XZB9DXLisfukEQjg9F0+eRTxjEwcf41jqQovvWBRKpUsX76cGjVqIJPJiI5WVdhesmQJu3btqnLHbxUiETRaAW7jaGsXwenBJ1i8+Twj5x6huOTP54C3renAwekr8M+0I7HAkJQrW6kVm8XQ6R9iNkgdnF1cqCArK5MJEz5katMimlWTseJiNtq1uuDg4MDVq1dR1umKa4ehPLlyhKAf51Tan7OHI6tuLaTloKZcP3SLKY3nEh389E+PX0N5rkfcY9tlP7p4+CCKzyEwMJDhw4dTr149FHIF30/Yxo5Z+3H2cGRF4HxOhSUzdtExnGxNuLRxNNWrmXKau6SQjWO8PtN6fUBRcUmZ/y1bf8THx4ecrKcc3dUThVLBhuINOEtK0L64vJwUTCkouBo7HgEl1x43I6ZaKk1kHgy3qbx4oAYNbxITJkxg6NChPHv2DKVSWe5QKP5a1sZ/mtSke8izHuOuX0qaeX20ZhkjMdPB8cvmFWw3+t0HC3vqW8D188fLXhfrS5BYG1Hfwr1SOZi6/srbt2B5LguLIgkFqodr2nZd2FVzMDKxwDsOAj711A8DM1PAUTsLBIHdV09W8NekZwMUcgV3z/w15YMGDQDxYc+IvB1D8/5NiMpRhTuYHGnGVufbCCXqDJ2udZW4NpmGrp552WspZJNOLu7YIa0s2F5RArmJYGgHEu2K599APDvUQRonoXaeK+ezrpMnMsLeqAtPsw7j4KqDp6EjSCXYNVDXgjp69ATFpq0hOwgKn2Hc1AB9TyvYEoskVU4o8dg5tUIkrtqGx0svWBYuXMjmzZtZuHBhuV0Vd3d3fH19q9TpW4lIBN6+4DKcttYPOP/ueXafCqbTxJ2kZ/35nQqfpk1Y1X8aP2Y4UirXImnnbHzE1em3aiz6jdVa3qLCEmKjs/nw0y7sHmqOqa6YsQfTadV9IKamppw4cQKH/rOwrNWE4F1fEeH/U6X96RnqMmPPRD74biSpT9OY3mwBpzf/td0iDaBQKvh4xzdIJVp8PWASixcvxtjYmBkzZlCUX8SSfms4ueE8nh3q8vXl2ey6FM5HXx/HzdGMSxtH42xvQgAPiCUV53wz5vX8lGfJ6mJps2fPZvjw4RQVZnF0Zw8K8pI5LFpFvMKDTxO/QFAqafv51jIp2OPU9aTm3yA/pQOXnVLRR5ev3Wa8FelPNWhIT09n8uTJWFtb/7HxG0bY/Z/xMhMjRuBRSFukCaU4zW+J1LS8dEuhULLhciqIJUxqY8GhQ+o4NYMWlqSFFjK4aUU5GPy2wv3bt2AB1S5L8XNZ2K/YuozhS9vaGGiJ2DckHJGWrOyctjQX7cwS/EMCySksL3t+nt74+uFbr2bwGv7VXNx9DYAWgxsQlfETZrIGiI6GE55zuMzGzl6Em6sxDZtPKdf2ebB9HV6we5IdC4Lyjc4O9v94dqgLgMs5GxQo2Z56CA/rGQgoKDE6holUDw9LFxIt1PeQxfk57An3AEEOWVcQZT/F8UsfhHw5zityiSARpY4OVnaNqjSWKtVh2bRpE0OHDi23YPH09OTx48dV6vStRSSGZpug2ju0MrtJ4AeBXLn7lGZjthD+NP2P27+Aj/oNpbtnH/Zk2lOkTCd/9QJ62naizQ8DkNrpltnl5+dz8UQCu/cMY+sgK9ILlIw9nMugIUORyWQcOupHw083oW9hz8VvxvDkytHKpyES0fPjTnxzZQ4m1kb4vr+FNWM2UvSb+h4aqsaWC0e48+QxU7oO58yBYyQmJvLZZ58hlmvxRduvCPolmPYjWzLvxHR8D99hyqrT1HK24NKm0TjaGHOdMMJIoJrSgk3Dvyb4nlqTPWDAABYsWIBCXsLxPQNITwkhSHcWF/O78L3RFgqfBuM57HMsa6myfuWVxHErYRYiuRXHBXOKdUqZ6zQJa22L13V5NGioEkOGDOHkyYpP0990BKWS2JCf8DCVkG9QE+U8K7TcjbD9sEEF21PXI8nUtUVLpKSBTiJhYeqaBCYtrcmLKmagd+Xyt7DAKAxM9bF3/2tZOV8XrqjGHYk6u1cr4yacNqvGEbETtgbQ01N9AxQXIUcvrYjSSmRhlo7m1Gzqyk2/u5QUlaDhNVJaABmR8PQyJNyEoqzXPaIqIQgCF3dfx9TGGD3PO8iVedQNdSWly0Yinqml9u0aCzRqOR0dXbXEswQ54SRihTGWvKBcwFuQzvj/sXQ0x66GDalbU6mt68qhtNPo6Hphqd+Up7m7sLTTxlPPDrmZDEML07J2CzddQtB1gKwrkBmNRf+a6HlYou/7DFJKeERclWVhL71gSUpKwtGxova9qKjov1XjQ6wFzXeAfXea6AbwYFoI0QkZ+Ly3hUt3/py8SiQSseGjOciNvAnKNSWp+ArGKw4yssFw6n/fAbGueoGYk5PNd0suoZu/hsktjbnypIi1t8UMGTIEhULBoZPnaD3/EDJDU/znDSDm8uEX9uvu7cqaO4to3N2T89uvML3pfOLDNOkhq0p6bhZf7PfFztSSUY268v3331OrVi3aN+vEZz4LiLwVw+A5ffl06/ss3X6Vmb7n8HCz4uLG0dhaGHKPGO4SjQ0mXPriAEePqheajRt5sX37dkQiEef8PiQu+hzxhiP5OXMUa0QrKTqzHHNXTxqNnAuovnCvx05Arswj8Glr4m2z6GzSku6mbV/T1dGgoeqYmJgwZ84cevbsyRdffMHcuXPLHW8qz+KuU0PyDC0RPL7eCkm+gNuy9oilFaUPqw8+AFNrutbQ4fxpdapUkZYIhYkhjZ3r4mJVMe1paXEpUXeeULOZ61u7Y6rOFpZcJgszlOjT1MCTVY4OXEhWMLqlWvqXlgjOBmkgCOy6fLyCvxYDvSnMLeLOaY0s7LUgKCHKH+7vgpjzkBYKScEQsg/CjqlkUG8BEUHRPItMptWQZkRk/ED9TB1qlBzD9zd5PvT1oYmXCQ19Pi3XNpJnyFG8OJWxUg7ZcaBvDVK9ym3eUDw71iUtNoO+QieKhGL2pB2nvs0XKIRirOoE46Jlhp2JJdRWZ0CMfnSHwMLuIM+B5DOIFIU4zWsBBQrsv0rnIU+xd6laivqXXrA0bdq03Jb18y9KX19fWrZsWaVO33ok2tBqD9h0oK7yKJFzYikpldNxwg52/PLnspXoyXQ5OG0FZ/JrklEi417mamqviWV81w9x/kpdL0MQIDU5i+kfr2JC05s0cZSxNCCLx0WW9OnTh9zcXI5fuUPnb06jY2TO2fmDiLl06IX9GpkbMsdvKiO/GkjcowSmNp7L5b2Bf2oO/0XyiwoZvG4mGXnZrBg6hVXfLKe4uJj3Br3PrFZfkRqbzsebxjJ8wTvM+T6AeT9cwKuWLQEbRmFlpk8EiVwhFFMMyNj2iBXLlpf5trez4egxP/T09Lh5cQmP7myl0LgD36VMY3H6dHRvfI+NR0t6rD5fJgWLydxPXPYvJCc1IMilCHOJKXMcP35rb2w0/DcJCgqiQYMG5OfnExgYyOXLl8uOK1euvO7hvZDI+9vxNBVTILKhYJkj4g5WWPR2r2AXl5TNeZV6hA+am3HkiPrBkn4Tc1IeFzLoBbsrUXeeIC+Rv7VysOdUJgtrb+JDpoEO4foeGNsK6KlVYci08tHOKuHsoxvkFuaX89VigDcAV/bdeCVj1/B/JAVDVgwY2oNTG6g3BNx7gpkb5KdC5GkoyftjP6+Zi7tV9ew8+xri9uQejZMVRIRZ4He3tMymmSc0bzsTbZlhubYhxKKFBPcXBdvnJICy9K3aXXnOc1mY8SV9HLRt2J16DAuDTpjo1CVf9zha2sV0d/Um106GlrY6+P6rfXEglkHmRciOxbyfO4betpisS6X0URYlThW/G3+Pl16wrFy5kqVLlzJo0CBKSkpYsGAB3t7eHDx4kOXLl/+xg38bEh1ocwAsW+KSs5PIBenYmBswav4R5m4I+FMxIW7W1dj84VK2pzmhlCi5Gj6Nduv0GDt2AlYfqH+clEolj4Nz+WLuSH4cmIGxjph39yRjXq027dq1Izk5Gf+bD+m2wl+1aFkwmOiLB1/Yr1gsZuAXvVl87gtk+jKWDVnHD5N2UFpc+sI2GiArP5fOyyZwLuQmH3UYiH2pHidOnKBZAx8OTfantLiUOX5T6Ty2DdPXnOGrrVfwrmvPue9HYm6iRxxpnOUe+sgwv1zCxHEflfnW05VxzO84dnZ2PL73E9fPzUFkWI/lCXOY82QcFtF+VG83iO4r/NExUsU6FcszuR47CUWJHudlNSjRkrPQaTKmWsav6xJp0PCnCAgIeOHxpqY1VihKkcXuQSYR8fRgS5R6Wnhs6lXpw4LNR+4iWDtjKBXwNM4hMFB9o23hZUNpjrLS7GAAIZdV0rG6rWr+MxN5RbhVIgtrb+yDCBGx7nV5kKfEw1X9JDr2kRLDTJUs7OidC+V8WTlZqGRhx+5SXKiRhb1S8pIh8TbomIJbF7CoCTIjVWC5S3tw7aS6UX9yUfXE9Q1FIVdwaU8gTrXNqF4wlbqZEnLzqjN8V1NQqsft42NIg2Yfl2ubRg4pZFMDW7SR/r9rFW+hHOw59dvVRiQS8fBcKKOt+pOlyOFIpj/1bWaiEPIxd79LDZEp+gYGGHs6l7U7/stxYmXdoTAGEs4iEotw/a4jyAXsP3lGiDT5xZ1WwksvWLy8vAgPD8fDw4M+ffqQkpJChw4duHfvHnXr1q1Sp/8atPSh3VEw98Y68TtC5mbTqLYtizZfYvjsQxQVVz2DWJ9GbRnaeSInsmwotkzh5plZDN7sxqD54zDqoA5ALS0t5cTOAg4e78XmASJS85UM+zkZn+Yt8fLyIioqipPXgum6wh8dYwvOLRhM9IX9v9u3R9vafHt3MfXa1OIXX38+b7WYlKdVy5P9XyE1J5N2S8dzLeIeM3qMYs2wacybNw+plpT8M2IMTPVYemk2Xl3qM2nZSVb9FEgLT0f8172LiaEOqWRzkttoIcEj2oJhPQZSqlC/X3b99DNeXl7EP7mE/+H30NKzY+2zOcwIfw+rtCDqD5pGhzk/oyVTB/LeiJ1GsSKFwJT2PDPPZYB5V9oYe7+Oy6NBw3+OmJB9eBgUUlCiR/rRuki+rouRS8W4MblcyfdnokDfhBGNjDh14pdyD7iytHVo5uqBk4Vdpf08vBSGllSCe1PXf2wurwKTSmRhllIz6uvXwt8kH5mOBdWqq78Tn8ULuJulglJg89mKqoGWg5pSmFfEndP3X9kc/vPIiyHmnCq+t3qHygshGlcDi1qQmwCpj179GF+S+wGPUBYkM2/qGSwy4og3MeHO9FHcSr1YZlOrOnTu8zlSbf1ybdXB9i+QgwlKyH6qWtTpvH0PEA3NDKje0In75x/R27QDZlrGbEs+hKNJfwy1q6PndIXiwmQGN+lEuoM2/PqMRlAqWBvw6z1K3D5QlGDobYf12PoYnMuj5PuoKo2jSnVYzMzMmDNnDvv27ePEiRMsXboUBweHKnX4r0NqCO38wNQTw8ivuPpZHn3b1uLn0w/pOGEHOXlVD2RfPGACCtsehBcakNo4kEcbNjBpd3M6rB2IrIZ6G7KwsBDfWRmU5g9lUnMZF6OLWHQui549e+Ll5UV0dDQnrtyh6/Iz6JpacW7hUKIC9v1u32a2Jiw+O5OBX/QiIiiaTxvO1lQR/j8SMlJovWQswU/DWDxgAl8P/oTt27cTFhaGRaYDru7VWRE4n+oNnPjgKz/W7Q+iXWNnTn03AiMDGdnk40cQSgRaZbszvP1AMnLVwYlLv/qKfv36kZEaht/uviDWZm/adCY8nIBZQQzNP1lLswkrEInVH9/EnAAiM7eSlFGTO47goG3DZ/bvv47Lo0HDf5Ki4EXoaYmIO9CCvObGeE5oW6ndL1fCSdVWab1HNjJi/8E9Zef0axuTlapgVKtelbZVKJSEXgnHrbELOr/VS72lPJeFxf9GFtbBuDn5FGPeqB9etUsQ/+Z7rqY0H1lGCZcjg0nPLR/Q3XxAE0BVQ0PDKyLumkrq5egDumYvtnNoBtqGkHADirJf3fiqwN1Dfiyfdw5L3SjumSl4lvUxPxqmIeRlltk0aa6HT7Np5drJURBOAmYYYI3J/7tVkfsM5EVvRbHIF+HVxYPc9DxibyUw0vIdnpWmcDjjHI0dvkYQF2DsHkBHh/qIDGQY11DH3vn+eJg8WX3IuQWJqoQZ1Ve2R9vFCNupVYuZ/t0Fy6VLl176+E8jM4X2J8C4NrIHMzn4fhZThjXj6r04+s/YR0lp1eoGaEm02PPx15wtaUi+QovovgeJm3+S+af60nB9JyQm6i3HtJQ8lk55SO96M/Gyl7L4fCbnIgvp2bMn3t7ePHnyBL+LQXT+5jS6ZtacXzSMqPN7f7d/iZaEkV8NYu4vqg/mwp4r2TFrHwr5m13/4FUQnRJPq8VjeZz4hDUjpvNln3HExyawZOFXaMt1aNegI8uuzsXM3ozR84+w+chdOjdz5Zc1wzDQ06aAYvwIoogS2svrManHe4Q9jSjzP3LEUD6fOZOC/FSO7uxOSVEO13PGMejulxiRT6eFB6n3zqRyY5IrizgfPgq5QsoFgwbIRQoWO01FX/J2BfZp0PC2kp0cjBtR5BZIeXa7FdKfGmMorvzzt2zHNbBxwdlEgqNWOuf8A8rOmdSyRqYlZXCzytMZxz6MIz+7gLqta/0j83jVPC8i+VtZWEcTVb2aB24uaMt0cXVWJyy4c1vJePs0lAjsv+lfzpdVNQtqNnPTyMJeFUVZkBEBRg5gUfv3bSXa4NxGFXgee/mNk4YVp0fSs/ZybKzzuGVvxCM7K4SvLDkoVr/HjAyg58ez0ZKWT08eRRLFyKmDIyJeECuaEan61/Tt3RVt0lOV6TDol7sMs+yNmZYJG5P3YGPUC0u95ug73aYg6yHDfLqS7aLegSouyOXHUG9ViuOQbwDQMpZRZ29fRFXM1/W7C5a2bduWO9q1a0e7du0q/L9du6pXrPzXoWMJHU6BoRviW5NY2SeZ8f28OHszmvcX+1U5psXa2JwfJ37LvgwnBO0CYoYdJGv6TZY9GoXryqYgUX8wHt7M54fVB1nWYysG2iJG/JxCcp6Crl274uPjQ1xcHEcDAun09SnVomXxMCLP/fyHY2jSowFr7iyiRpPq7F/qx+yOX5Px7O1KU/h3EpoQTavFY3mSlsim9+bQVsuTRYNX0KFJJ0oUxXSq352lZ2cjM9RhxJxD7Dxxn56t3Dm6cgh6OlJKkPMLQWRTQGvq8u37izl7VX2z0tKnERs3b0UhL+LYT73JzowmtqgXrW+tRaarR+81Abi06ldhXBdDp1MiiuNmbmcSdbIZZfUOjQ08XuWl0aDhrSUiIoLmzZvj7u6Ot7c3jx5VXbaSFTARHYmIqDPexO5xo4mjZ6V2V4NjuR4vB21dRjU2YufOnSif6+NFkCjVpo9XG0z1K0+L+vDSvyN+5Tkm6GOBETG/kYVVk9lRQ8eZC4XBODr1pEk9dSzl/Vj4wD2DVsZ5/HC6osS55UBvjSzsVZH0q/LCtpGqTt0fYWj3qzQsUSWPelPIj0U41QEL03yupL3DfcN0nPKHcDk2gfwEdda5Oi306ddkeoXmj4hDjJiaVMzoB4BSoUpIoGsOuqaV27wFuDd1w8jCkJt+d9GT6PC+9WBSStPZm3acZtXWIBIJFJnt5LMu7yKxNkLbSv0dtmCdH3KDBpB+EVJU8XqGTWxxXPM3ZgkrLS0tO44fP06jRo04ceIE6enppKenc+LECRo3bsyxY8f+xPT/hejaqhYt+k6Iboxn/dACerSswY7j95i7IeCP2/8fLWs2ZHSf+VzJsSDPMpz0vkHwaSiL5OOwm65+oiEIAkc2yrlwdRHfv3OZ5DwFg3clU1gq0KlTJ1q1akViYiJHzl2j49KT6JnZErBkBJFnd//hGKydLfnm8mx6ftyJhxcf82nD2Ty4EFrlubzt3HkSSusl40jJzuAjs95cHXmBaV1nsyVgPXla2fRs3ZsNp79FEIsZ/MUB9vqH8E672hxcNggdmRYKlJziDqnk0Bg3Lqw4wvptP5T5d3G05tDRk2hLpZw68C5JcYEUFHtR8+YR5CZODP4hEOu6zSqM62nyVZ4UfE9ivgu3zMBNx4lJtiNf5aXRoOGt5oMPPmD8+PGEh4czY8YMxo4dW6X2eQ8fYlsSRGaBmIfvjKF627oYoVup7dJtV8DeHRHwrpcBm7esLztnUs8CQVvKqFa9X9hXyOUwRCIRtVvUeKHN24YbNr/KwtTxkh1MfMiU52DXbiC13CT8RhXG4dtKDnvFkpsdQkJGSjlfz2VhV/ZpZGH/KCV5kB4BBrZgUIXirnaNQSyF+EDVjfzrpiABznZBh2f4bvEm2SsVsUiK/kYPVhqp79kkEmj72Xik4vIB9VnkkUgGrlijwwsq1+fEqSrcm73dWf0kEjGNu3vy5H4cKbFpDLLojrXUgi0p+9DTqYuZqAe6VpGkph1nTOvelNRUSwQzkuP5KaoVIMDdL8ped5nQtEpj+N0Fi0QiKTumTJnCd999R5cuXTA1NcXU1JQuXbrw7bffMnny5KrN/N+MfjXVokXHBsn1dzna2Ze13UPYfeAYGw/drrK7yV2HI6k+gmclOjypexR561xsP0jik3ojMe2njh+Sy+WsnaxFXt54vmgXwaWYIrpsfkZOkZL27dvTrl07kpKSOHz2Ku2/Oo6euR0BX71LhP9PfzgGqUzKB9+NZMbhVV4gAAAgAElEQVSeiRTnFzO7w1L2Lz32n6m/cyboGq3mjyUzO4eG5+yJ/TaSdJKJsruHQlbKypUr2bhnA6VygXc+28vhgMcM6VyPvUsHoC2VICBwnvvEkUYdHMn0i2TyZ1PL/BsZyPA7eQ5LS0uu+M8k8tFBKHbA/OYdsiy9GPNjIMYOFb/sIhLO4B/ZF7kIrhipFjNLnaYjE7/gi1ODBg3lSElJ4c6dO4wYMQKA/v37ExMTw5MnT/6wbUlqAXHfBJK0fSDaEggubkbpUHu8qfzGJPBBPMdvJYKlAz1q65HwKJCoyLiy86Jq5jiamNOlvk+l7QVBIORSGC6e1TAw0a/U5m3EtUwWllT2WgdjlSzsiiwdkU4Tav5G+r/ruhYmUiXHGz1l/6Xy8ubnsrAgP40s7B8l+T4ggE3Fgqi/i1QPbBtCcQ6kPPxHhvbSFCbB2c6QF8X67d4kiNqQq38eR2kfHv/0hGdJ6vIO1VsZMsrn4wouHhILQN0XVbYHtRzM7O2Vgz3Hu1dDAG4dD0Ym1uYjm2FkynPYkXKYdrV8UZbq8ESxkM96DEDqYonEUC2fm77iCIJRY0i7Asl/LjW9SHhJrZKenh4XLlzA27t81qGbN2/Stm1bCgoK/tQAXgUODg7Ex8e/2k5zI+H+Qog/DvJcAIJTrdF1G0jNVuPAuM5Lu8opzKPr/D70kwagr29L4wOzKLqTy66DSfy0aAcFweqgsBr1dZi/w4j7CSf55oIxjexlnBpni4W+hKtXr3L27FksLCzo16klAbN7UZCWQNuZ26nRecRLjSU+7BlfD1jL04fxNO7uyZQdH2BkbvjHDd8y5KVybp+8zw8797JD6ywIIloEutK3bXtKHHPw3bYWAwMDNm3aRMuWLSkoKqXvtD3434hmVE9PtszpjUSieh5wlVCCicEFa5weyvBp2JRcuerzIhbDcb9f6Nq9B/dvbuC830eIS4yQBeXwxLozM384iLGRQbmxKQUFAQ9n8KRoDQhigiXDCRAnM8l2JB/YDH3l10qDhreV27dv8+6775aTgXl7e7NixQpat279wnaWImMOMQv96nE0WLCR1GIR+4fvwn/OESJPlE9SsmrVKrp06ULHCTs4l24CTnWpdmMuuSFHyUxX1ROR6Guh6F2XKe0HcHp15XLdUwf9mVD7c+r3qcmRiIo2rq6uZWqHdevWsX79+go2nTt3ZvXq1QBMmTKFM2fOVLCZMGECEydOBKB3795ERVXM5PN8TsALs4QePXoUNzc3IiMj6dOnT6U2ISEhAGzOOUG2UMC2NgtRPo/5XG2HVEuLlTm92Lh5Ivt+Uy9y9WxtJtcSuJiih1/cSFasWls2pxs/B2Oe7ECSQxQFRtmvbU6nT59m6tSpFc6/zX+n06dPs2jel/ivGkPMs0wGzv256nNSykm/tAFtiUD3z7aTkVv4yudkpifn8jwdyA7l/NP+rP5SC8uB92j5+QOSP+nOvsgSglPOAiq1m/eWNuSuSC3nQyLTYtzlhVjomzKUVkydMrXC30lPR8r1DR+hZWQHNXu99e89kUKMc1h9LOuYsTXkO0oFOd5ne1FioITPn9Glsx71ut0g5o41oamDOXjsMNxQP5QZ1sOHn4beIaXQkM5rLThwyA83t5ffeXrpLGHdunVj9OjR+Pv7k5WVRXZ2Nv7+/owZM4Zu3bq9dIf/GQzdoMUOGJAIbY+QbT2EaoY51Mz2hV8agJ8HBM+BjLt/GIBmpGvApkkbOZXtRElBIvGTAjDwtGbIUCtazOmI1Ea9io24X8RPqzNpXG0oizqncjuhmDYbEniWI6dFixZ07dqVtLQ0Dpy6SNtFfuhbOhCwdCThp3e81LQcatqy4sZ82o9qya0T95jsNYfwm1VLTfemIggCkXeesPHTnYyy+4SPJy5gu/QsUrEWa1p8yskHW8lzTeHbLauxt7fn2LFjtGzZktz8Ynp8uhv/G9G838+LH+f2KVus3CWaYGKwxRSvNAe6t+hctlgBWL1sCV279yAm/AQBv0xEXCpFdjuHILuRTFx3rMJiJbc4lr1BjXlasgpFgSWGRhu4IE7BQ68mY60HvdLrpUHDv4H/r5NS2TO8VatW4eDgUHaUIifIPAyXmXsQEPC370DG48wKi5XnnLgSwblbsYjsqqOdF49Wwk0yM9TFDy08HZFoSejfqPJge4D751Q3I44NbP7MNN9o9JNE6Bjr4dDsN1K3WwXITcHWxwN9qxqIf/NnuhQL3z8yoo1VAb0dz5b7Dc0zUj3AM8h5e+MF3mTe7dwAXZmUTX5Bf86BWItjd1Iw1JPxYd9Xn3bfWFfB5mEJkB0KXsvZt88eQaTEa2wYyVF61L7WkOCMC2X21k2NaWDUqIIft66eSPSl1KXaC4PtO3i5oiUW/St2VwAEiZJC/TwywrMpyi9CKtLC/IQEkY4Yhpty5ZiCgiR3XLyS6d9YF9tGNUFXLaP7OSCaTFkbrHSzmdr+T8RDCy9Jdna2MHr0aEEqlQpisVgQi8WCVCoVRo0aJWT+j73zDovi6uLwu42l994FRKUoFgQVscZgxd67SfRTE409iYmaYo8tsSaWWGPvvfeGiFgACyCC9N6X3Z3vjzUgsSeaqOF9nnkWZm7ZOyyz99x7zu9kZr5sM/8KdnZ2//ZbEARBEC5cixZadh0orJjYQCjZZCcIa2WaY4e7IFwZJwgp5wVBrXpm/TWn9wiDRhkKcyciXDv1i3DFZ4Ww03Ky4L2qiSDSFguAAAgikUgY9ZNUWB1qIMw/vUZg7F3BdXqsEJOuEARBEEJCQoTJkycL8+bNEx5EXBXWdXUUljYWCVH7V730WNRqtXDw1+NCB/kAob2sn7D7p0OCWq3+2/fo3yAtIUPYOnOPMNRzvNCG3kIbegvN6vURxL1rCeaDmwhhsVFCfn6+MHDgQMHGxkZo27atkJaWJqjVamHLkZuCQ6s5ArUnC8Nn7C13DyKFeOFnYa+wTjgpZBfnCn5OPqV/I0AY0r+zoFarheSHV4WfJusK8yaIhMVBCK36fSGExBU+8T5vp2wQll/UE5aHICzd20hYGrNaqBPWXqh9NViILnzwT96yCip4L0hOThYMDQ2FkpISQRA0zzUrKyshJibmufXs7OwEVchYQVgrE87M1xJ+yd0k5AlP/s8KgiAUK5RC5Q4LBK2OGwTG3hV+OpMlDPqoX9nzWiIS6OgldJg28Ll9/tBxntBO3EfIzcz7S2N9m8kU8oSfhb3CESGs9Nzl3HDBMzRI+ClhlfDll58JlZ3Lnp2VrQwEv+5Wwt65Jprv0BszyrU3pt5kobPeIKGooPifHsr7jVolCGG/CcL1Dc+dq7y4HbUg3NoqCFd+FYSSp//fvBGKMgRhr++jz8wsISkmRWgr6iOMazlUWB6CcGHl10KgcfNy39OuK/yFzJLsJ5raLJwVlgj7hUJB8ez+bu8ThJBl/+wY3zA75x0Q2tBbuLDzSum5UdE/CJ6hQcLJrIvCuo2LhGXndITVoYbCxou/C9SyLXc/2/f6TBC2uGn+BmGTX6nvl95hMTQ0ZOXKlaSnpxMaGsqVK1dIT09n1apVGBs/Q3u6gnL4Va/E4P+N5aODLfDaMJasevuh6mea4LOIuXAoELa7wOURkHRCIwH4GL0DWqPr+RnZSilHjgzHcasf9nZOjJzvh/031UvLCYLAwrFiHt6Toa/Th186LyQms5iGixOISlFQu3ZtgoODycrKYvP+4wRM2o6+pSMnZgwgav/KlxqLSCSixaDGzL4wCQtHM5Z+upqZ3RdS8Nj27ttMcaGCkxvOMyloJgMdRrBy3O9kPMyi1dBm1F3egGNuN7E1teTMpBXY6BjTuXNn9u/fT3BwMJs2bSI9D4I+XUfn8ZvJyS/m53EtWTC2ZelqbRypHCMcfbRpI9RhSJM+XLxftvrarL4HC5atJy8ngW0rmqNUFCC5JWG53Xw+GfsVtR3Kds1KVPkcvd2H03E9UCkF8tNGcNKlJgsy12MqNWKR6xQqaf/H8yFVUMFfwNLSkpo1a7J27VoAtm7dirOzM87Ozs+vWJKLKHI+SYVqQj07EqTfBD20n1p0/oYL3InLwMTDBwO5iIYmKaxatab0uom7NejK+LxVv2d2p1KpuX48Arc6ld6r+JU/MEYPiz+phdXU88BEasjR7At0bNIMO8eyHZM7ybnU8smg1wVbbuTqQNhEiNtaer1Bl7oU5RcTeqBCLey1khOvySdi5q5JFvlXEYnA0hsEFaT+QyI+imw43hoyw6D6JPAcw/4lxxAEAeu259CWWBIzoYRTOcdKqxhWNySobiOMpeVV+1LJIZks3LBF+1mZ7UsKNffLyAGkT382vIv8IW98affV0nNj7T5GR6zN1PjF1KjZiPTQTpSo8hDrfsPQYYNAt+we7diylmXxg0HuADd+eKW+X/kTZ2BgQI0aNfDx8cHA4P2LXXjTBDeuyoIxQUTFZdHyu1gKPKdB+zsQdA48xoBUF24vhqMtYJsjXBgCDw9qVCaAWX2+JlSrMaiK2byjMx4HO1JTVIWPwxpiPtCltJ/iIgUTe+RwdpMzYslclncZQm5xKoFLHnLtYTE+Pj507NiR3NxcNu8/Tv1vtmJg5cTJmYOI3Lfipcfj4uPE3CvfUa9jHc5susioOt9wbPUZrp+MICkmhRKF8sWN/EMIgsDN01H89PFy+loPZ3bPRVw7egvfNjWZsOUzVif+RGEbKd8cX4aLhR2nJy5HnVVI69atCQsLY+TIkcycPZfvlp/Fq9siDl24R/+2Ptze9inDutYtNVZSyGI/ociQ0hZf5vWfwoZzO0rfh7ujMZv3nEGtKmTTonoUFaUjjtZlvu0auvfpS7Bn2YQkLf8KW8K9uZ+7lrwUV+6KR7HC6h7hhVH0sWjP9qqLqWvwdAnVCiqo4MUsXbqUpUuX4u7uzvTp01m+fPmLK5XkkKaAvdmGfNDwe+x5MqM9QFJaHt8tP4W1exWSi2UM9DVkxg8TUSkfCZaIILeKGb42NgR4N3xmdzHX4sjLzKd605ePfXzXcMWGYpQ8eKQWJhFJaGzoz52iWMyrW6MyaVbOLSwjRB9ZZhGtrjhQLDGBcwMgTeOm1KCzxtXozKaL//g43mvSb2teTV+DSp2JC8j0IPXmm1cMK8mF4+0gPQS8vgDvr1AUKTj06wnMK+lhWCcMu4T2fJ25CR6JCYlEYD7Bi672HZ9o7iYaWWav5wXbZ0YDwjuvDvZnbFytcKhmy+U9V0uFl6y1LBhm3Zt4RRL7dM6ip65LXlQ7copv07D2JpybPSbOUJzB4NmHWRQ/EsEo4JX6lr7OgVTwcgzrWpcHyTnM+O0svSZuY8uMLkjM6oBZHfD5AbJuwIPtELcd7q3QHDIjsGuN3LEDPw9dxuiZjamfGcGRs1/y4eFZCC3gfuscNgXmkntKExymVCpZMTOW0BN2fDT7OPOCO/HDkZ9ovFRg/0Ab/L29kUgkbN26lc37jtF54mYufN+FUzMHgSBQtfXLyXvqGenyxZbP2DX/ICvH/s7cfmVyvSKRCBNrIywczTB3MMXC0fzRq9mjc2YYWxo+4Uf+OkmKTuH4mjMcW32WpGiNDKZLTSea9WtIYA9/jC2NEASBKduXMmX7MjztXDk8YRGRV28wePBgiouLmTdvHlJzbzy7LuZBcg413K1YOK4VDXzKP7CyyGcPIQgItKY2B6dtZvLqWaXXTQ2k7Dl4BgMDPdbO9CC3MB7xQyOmmW+kbaOajAo0AkAQ1FxPmkVIwkQEtUDMg5ZcdbXhvhCCq9yRKY4j8dF7QbKuCiqo4IVUqVKF8+fPv1IdJSI2xSjw7bqUqlpP908XBIERPx4gN1+BlWdttPLgQ6N7tN6wqbSMkbM52foyRjdp99xn4B/xKzWaPT0g933ADWsuEMU9EnHGEoBmxvXZnnGIo+pYGnr7Ex+2k5j7mrwslw6pafBxOjuSKzHibl2WuJ2Ckx3hwzNYODhRtZ4bl3ZfpaigGG1d+b85tPcDlQKy7mukjOWvYbFaLAFLT0i4pJncm70hqW5lPpxoD2nnwWM0VJ8MwJnNl8hNz8P7o2zEYiknR+VzVxFdWs062BYbNwvq/yl+RUEJUTzEAkMsMXp2vxl3QSwFI6c3Map/Ff8Oddg8dRc3T0fh3UgzD+lt2Z7DWWdYnbqdUXX7EHfAh6rV3IlXzmTcOFc+O6OLMlMTvytKOMKwn81Y5dOUS21evt+XVgl7l/lXVMJegFot0Oeb7aw/cJ1hXXz5aVzLp39h5dzWGC4PdkDGI1lkqR5JurU5dP0sOUVFBPU6gJNlI0JbrWfSgD2c23iO3GPJ5ZrRN9Bl+I9KKtcSse7KFC7GdWF3fxuauOkQFRXF5s2b0dLSolNQEy5N60ZuYgwNxyyjWpuPX2lcSTEpxITFkRqXrjkepJMWl07qgwwyE7OeGtAqk8swtzcpNWAeN2b+MHR0DZ6e1+BZ5GcXcGbzJY6vPsPN05pkaybWRjTu3YCmfQNw9nYoLSsIAmM2zGXO/rXUrlSNA2N/Zu+2XUycOBEDAwOmTJ3D8qNpHDx/DyN9Od//rylDOtVBKi2/QZlPMds4Ry6FtKQ2yVtu0bRLEIVodsekEji8ZxMNmwWzfqo36crbSHJMmSjag6+HE/sH2SCTiMhXJHAypi9JeccoyLXkQtGHhFulIUbMR9bd+MSqG1oV0sUVVPCvYWwo4sCOyfg3nfTMMuv2h9P76+3Ua+LHeVFlhvrrc2lGS0IuPXKlkIiQd/DGycaUm9O3ItU1fWZbk1rOIvzYLX7PWopc5/3939/EGbIpYCDNkCChWK2g4fXuVNZxZvzDJrT7fAr3w8rSA3y1SJdZ+yqhMpKTM3k0uhf7g5EnfHiS3UsusOyzNYxe9z8a96z/7w3qfSEtEu6fAqdATQLI14GyCK6vB7kRVOv4cgkoX6n9QjjZAZKOadzva80q7WOM/2Sir92nxd71WKua0jfoFLlqzYRaV0eC48EmDLRrz1iXYeWavM59TnGTJnjjgcMTXQJQnAs3Nmgy27s0e71jegu4f+MBw72/JGhwU4YtGVB6Pq74IZ0jhyNFQsMTVXDWsqNRR7iUMJLzJ2DZGIUmkuUxXsUEqdhh+ZcQi0Ws+KYdiWm5LNx8GScbI8b2bfBkQUN38BqvOfLuawyXB9uxTj1NXycBpVpK7Ilg1IFzqL2rA2N7KfhqQgkJAfdJ/jGKknzNZDkvt4Dpg6FlDyN6jJhAJbNrtF31NRt7OdK6WhW6d+/Oxo0b2bzvKJ0m/E7IjB6cnv0JCALV2n7y0uOyrmSJdSXLp14rUShJT8gg7UEGqXHppD1ILzVs0h5kcC/0PuHHn+7PqmesW96gKd2l0ezYmNmZIBKLCTt8g2Orz3BhewiKohK0tGUEdvenab+G+DT3RCKVlGtXpVbxv5VT+eXEdgLcfdg5ci4LfpzLsmXLcHJypk6rYfSeEYKiREW/NjWY8WlzrMz0n3h/CkrYw2VyKKQJ3oguZ9O+e6dSYwVgyaxx1G/4Ieu/9iJddgdpiRnjZQdxsLJgc28rZBIR97N2cDpmIAp1JreT/TljZk+WUSpeuu586zgSd51KT/RdQQUV/LNo65ji1+SbZ16/FZ3K4Kl7sDTTo9jWA62UEhzjtrHoUpnft7GLBVnaEqYENn2usVJcqODGyUg8Atzfa2MFwA1bzhPJfVJxwRq5WIuGhnU4mHUaa48+aFt9iERyBdUjD6Lba02pZJdDlMicRdeLGOPzA4R9Bad7EdhtNStGr+foylMVBsvrIP0OiCQaV67XhVRbEw+TegvyEsHA9vW1rSqCU100xkrlIeWMlbtXYoi6eA+vLqBlpODAxyWlxgqAV29b8vWldLYtLx8sIHCTOLSQUvlR/qCnkvlIOfU9cwf7AycvB5y87Dm7+RKfLOiDTEtjSjjKbZlb6SuG3ZvEmYAolCeUeN1uTbs6IRhr9+XB7evsX/rX3f8qDJZ/EbmWlG2zutHwo5WMW3AEe0tDegR5P7uCvhNUG6E5ChNRx+3gzulJVNHLRBw6EkE0hiajA1l6wJRv6ztyfb0J6ROjyLj+aLdFgP3rs7l+Xp9P529gTONbDNj0Ez+3r0nXGm707NmTDRs2sGXfUTqMWUvY7D6c/nEwglqNR/CQvz1emZb0uQYNQEFOIakP0ssZNH8YOKlx6YQdvoHyKXExIpEIbT05hXlFAHgEuNO0X0MCutRFz0j3qX2VKEvov2wy68/vp4W3P2s//o5Rn47g0KFDuFbx4r68MRd23qV6ZSsWjm9FgM/T/VVVqNhPKGnkUJfK2D/QpUFgI5JVZflxRvdvTPfen7FxXHXSTe8jw4TJkoPoaJuyd6ANBtrFnL0/iqi0pRSWGHAkqx13bBRoi0oYa/sxvS2CkYgkT+2/ggoq+GeRynSe6cKVnVdE+zG/U6xQ8c34Tow/VUJvl0y+Gzu6tIxEW0pubTs8zUzpWv/5PhE3T0ehKFRQO6j6c8u9D7hjw3kiuc1DXNDINzczqs/BrNMcI46e9c2ZHWZHbnICAOdC8unYo5Coc2b8dGADY9ofgtw7cG8VRvqT8G3rw4XtoaTEpWHp+PQ4owpeguJcjUFh4gKS12w0W3prDJbk66/PYFEp4HR3SDwErgPBd1653Zu9CzU5ViyCD6KTW5ffrp8ovWZqZEDhoCp4Yf+EmE0SmaSTizdOyJ43fc64CxI5GL6/YjiBPeqx5qvNhB2+gW/rshiVBoa1me48jvGxMzjZ8BYlISqqVBlLu2oh+EzbwSTdqaxZcBVB9erOXRUGy7+MsYE2++b3pN7A5fSbvANrc32a1HmJVXQdG8RV/oelbQ/GTa9KC5MUaji6YpVxmhq1SthcION0rhPTF7lza5Up8auiUKs0AVLxMXlM7CSh14RrTAzqwOTD88hTtGOgbyV69+7NunXr2HbgOB1Gr+banH6cmfs/QMAj+H9v9mYAuoY6OHna4+T59H90tVpNdkoOqaVGTFqpQZOdmoN342o07RuAjavVc/spUhTTbeEEdoWepEOdJsztNJLe3Xty/fp1jB1rcianNob6YuaPCWJoZ98n3L/+IIF0TnOLdHLxxBGfPAfa1WzCjaKY0jJt6tsy/ou5bB5diyyHFKQSfRZKdpFdYMzRftYY69xkZ0QPsosiiczx5riOE4VWCvz0azDJ8TMc5a9x1amCCir42+QXPF0NsUSpotfEbdyJy2DO6CB+jZKgJSrm1oph5OeV1TGobk+WFOYE1kNs/nzf/Sv7rwFQu+X7b7Doo4MdZsSQQjElyJHRyKgucpEWB7PPMbF5AJNW+QMaRbAERSbW2XYY5RQQJ0nnakwkNX1/hrxYuLOEXj0+5/w2geNrztLtq6cn26vgJci4o3l9HcH2f0bbSBPnkX0firJA+2+qzqoUcLYXJOwDlz7gt6icolluRh6nNpzHrpYU46qp7BlhT5GybNXfL9iQOC0pPR27P9H0S2W2L0iDwgyN25z4/V1kDOzuz5qvNnNqw/lyBgtAkEkg2mI5Y2Omcdz/Bumh3zKr8Tc4m3TitzmdmDwmjk83LyC86MQr9fk3dOkqeF04WBuxf0EvdOQyOozZyI27KS9d18zAmM59dnImXcbq8NvE+O6C+isRW9aikdFd9sVeYEXrHJou9MTYocztoKRExarvYOWEbIbU7sum8GksOJOJo6Mjffr0QSwWs+3AcbxHrsTIvjJn5g7l5vaFb2L4r4RYLMbE2hh3XxcadPKl/ect+WhOL77Y8hnTT06k15ROLzRW8ooKaDNnBLtCT9K7QSsmNe1Hh+D2XL9+nQIjXyJKfOnbphZRW4fzWXe/pxorORRwgFB2cJEs8qmNKwElVfm8dj8OpF8oLVfdWZs50+aza0JDsmxTkEjl7DLYRESuDb90NsdEdzG7I/1ILIxle04L9hnbIdaWMcVxJL+6TaswViqo4C0kOzfnied0fqGCrhO2sPfMHfq2rkGJjTu3khRUvzWD0MuXSstpm+iT5W5CE1tHWnjUAa0nXUwfJ/TAdczsTHB8xiLO+4Y7tqhRc48kAPQkujQ09CUk7zqG7o7U9fFCLCmbCF5arkt993QAvl49X7MD0HAjGLrjqJhP48ZZHF11+pV85Sv4Exn3NO5bRs+I2fi7WD3yLEm58ffaURbCqc7wYCc4dQO/ZU/ILx9ZeQpFUQl2HS5AuitbH3PTNDKyILdHJfRVUj40Ka/aV4iCuyRhgwlmPEd0IPWW5tX8/RbFsXaxxL2uCxd2XKGooPiJ642N/Pi96gIclTZcs7rHh7f60T1qBB/d+YKeaaOIDbxJtTZer9RnhcHyluDtZsX22d0oKCqh5Yh1JKTkvHRd/6p+2NT9BjFq1q7phsK2A7Q4BR8cA5sgmhWkcFg/ku3TRdRuUf5LL+y0kokdJVRXTicitRdTj8ZhZ2dH3759kclkbD94gmrDf8XIvjJn5w/nxrafX/fQ/1Gy8nP5cOYwjt68xJCmnent0pD2wR1ISkoh07gpjjWCOPXrAH6b0h5r86fFqii5QBTrOcU9knDBih4E4ie483OLr1l4u0wByNJIxMJJozgxtQf5rgUgExNu/QuHk92Z1LwYa8OuXIwfzY0SV1aomxJjLKaRXl12e/5CJ7MP36hyWgUVVPDXEZRKGg6dytajtygqVnL0UjR1+/3KjhOR9PjQi8mftmLK4UxMry0hZM+q0npSLSk0qYRMJGFx8wZgXuW5/STHphIf+ZBaQdX/M88DV6wRI+Y2D0vPfWjSEAGBw+oY+jU0Q21UJu98+H4czRsUI80v4dDdyxQqikBuAo13INIy4bMBJ5ArIrl19va/MZx3n6IsKMoEY+e/l3vleejbgK45pEVpAvH/CiU5cLwtPDwALv2g/qondjjUajX7Fx9F11SCVeMoNkxKpLik7HpAA10yrfQJNvkA+Z+EbW7xAOJYhUQAACAASURBVDXq50sZK4s17mC6FqBn8dfG8Q4R2KMeRfnFXN4T9tTrrtqObK+5hJYRvtglmRJX8JDwgiic5fZMtB/GjmpLXqm/t9JgcXZ2pmrVqvj4+ODj48PGjRsB2LZtG7Vr18bHx4dq1arRrFmzUh3o94GmvpVYOSmY+OQcWo1YT3bey//jDmn/JSlGjTFQpzNvWbtHiZkCEDXbBa1DKdLvQEN1LiF9k1k4Wh9Do7JERrlZSmYNgeit+1GUNOHrQxexsbGhX79+yOVydh4+ifvQZRg5uHNuwafc2LrgTQz/jZOak0nTaYM5d+caY1v1xSldnwH9B1KoECi0a8/0r4cTunYwDWs+KUMoIBBFAus5yRXuYYwewdSlJbUxQpedA5Yy/sTs0vJyGSz8PIibv02l2FOMWltNTqVp/BpTn2H1z1HZqhEROafYqmjGAS0ntMTazHacwM+VJ2MpM/snb0sFFVTwF1DEraD7dyvQafADzYeu4e6DDKYNb8aabzswYmciBQenkHH4x9LyYokIrVoOFOlK+Z+XH1XMzTUqQs/hj8SH/4X4lT+QI6MSliSQTh4aN7pGhnXRFsk5mHWWrs09kFjVLS1foC4maoktlXWzKREJzNv+m+aCgRsEbkYqFfhm9GkurNv1bwzn3SdLk3MEY+c318ffTSRZkABHWkDKKagyHPyXPtUdK/TgdRLvpeDc/g6JR2ScuFwWaK9vVgmtjhp3tO525XOvqFBznVj0kOP6vGD7jDuahN+W76/8+OMEdPVDJBJxct25Z5bRkmkx7oNPaXbTh5Z7qrNGexobqsyju0UbkuOSXqm/t9JgAdiyZQthYWGEhYXRrVs3kpKSGDJkCNu2bSMsLIyIiAhmzZr13q069WpZnWnDmxF+J5lO4zahKHk5RQWRSMTXw3eTJJijlXKUbQfLvigx9kI7eCO0jORWYWP61VIS8b2Spt7lM7QeWge/DI2GjKZ8dfA3LCws6d+/P7q6uuw+cgq3wYsxcqjCuZ9GcH3L/Nc57DdOQkYKjX74iKv3I/m63ceEbrzKgjnTUUoMCeg0noh90xjRw/+p7l/JZLGV8xzhGirUNMKTrjTAHnMK72VysutvDPptHArKxABm9qlE+vH9UMsIpa4CLZdhfH+nNaMafUdNh75cUpqySmhMnLaMhtTioM8qgswavXef5woqeF8piMpFV7GKD/vCmD71uLV5KKN7+dH/uxXs/ToQrqwuLSuWiNBxsabAzRhXXUu+a+ChyTsheUaW7Edc2BmKRCqhRvP/xgToD9zRuMLeJhEAXYkOgUa+hObfROVgS0s/VyR6Za6/e08n0bZZCqgEFh3cWNaQZQCiekuxMCukieOPFGQk/qPjeC/IigWx7PUqeD2Nv5pIMu0S7K8HGaHg/TXU/vGZO0F7Fx5BJBawrXmJLRsUlIauiET4V9blbnUrauD4RLD9XRLJpxhvnJE8a9osCBp3MIn89SqpvcWY2ZpQK8iby3uukhKX9sxyFhYW9O3bF7lczu+//87GjRs5fPgw69evf6X+3lqD5c8kJiYilUoxMytbfa5Vq9Z7OcEb368B/+tch6OXYhj07a6X9r3V19GnV/9dFKql3D41jtELehKdUpZ/RmJWCY+PDpHgcJCjZl78PkHK/D5i5I99Zz6Mgen9Crl/bACTj4zAyMSE/v37Y2BgwJ6jp6n08c8YO1bl/M8jCd8893UP/Y0Qk5JAw+8HEfEwhn61u7Pim/XcunQYqZETq9ZuZMv8wU91/8qniKNcYwvnSCGb6jjTi0Z44URRRAZXemxicuWP6bN5DBnkltYb1UoPnegYtP2dKdTNxsixHbOTWvDthx2xtt7CJppyVOyCtkKbH4xGsrjmDxhJX0MirgoqqOAfJed8OqdXzWePajJdZwVjaG/K2ikfo06MKy2jrS1D196CAl8rjKQ6TPIPwlBb+kIf97ysfMKP3qRGMw/0jfXe9FDeKpywQI6MSOIRHiVuCDIOREDgkCKSPgFmqCzL0gAkFOcgvWGHaVEB8SVZXIy8VtZYpV7cUfTBxTGD4j1BUJL3Tw/n3aWkAPKTNbEr4jes0fRHIsmSgkdZ4l+C6LVwuBmUZEODtVD962fmckmKSeHKvmtU732eW2eV3HjMQ9DYoQ72rRSopWJ6O/UoV09AIIwYpEjwfFbeFdCoqBVladw83/S9eotoM/wD1GqB/YuPPreclZUVH3/8MW5ubkRGRnLu3Dl0dZ+u4Pos3lqDpVevXnh7e/PRRx+RmppKjRo1qFevHo6OjnTo0IFZs2aRkJDw1Lpz5szB3t6+9MjLe7ceUCKRiJ/GtiS4URXW7g9n4qJjL13X260etVsuQySW4ZC6gRHf+9JvyUQiH5apVrk3DKRLu3MsVo0ko78ne6bqU/0xt0xVCayfBdsm/cS3uxoi1VPTv39/jI2N2X/8LI4D5mHsVI0LC0cRvmnO6xz6ayciIZqA7wcSm/YQD1lD9s5Zgzr7Hp61GxNx5RitGj3paqFExRXusY6TRJKAA+Z0J4CGeFASlsmaJj/QyeNDAn7vzUxhKw8oW1noUFuCV0k+pk3rkSmLxcjKl51ST8Y060qMgZq1ooYkiLSomeLGTs9lBLt8+E/ejgoqqOB18NicqOBqJpGjzxO64AxFKeW/a1zdHNBzNCe/vi3aMi162PjxYSVt0LMC3ee7fobsDUNZoqJ+J983MYK3GgkSqmBHJnkkkwVAQyNfdMRyDmadoW2T6uhbe6ItL3Nt3rc6h8bVNc/i8ctnlWvPrtNP7DzkiYkkAk521ARnV/BiXoM72CuJHZhX1Uz2k8M1OxbPQq2C0AlwfiBoW8AHx8G563Ob3r3gEA5+NzC2jWbz/rLz2vpGeFoZENHAFhOVNs2Ny+fDe0gGaeRQDXu0eY6kc8rNR2N4v4Pt/0ytoOrYuFlx8JcTFBcqnlvWxMSEXr16MXLkSPr27cvw4cNfqa+30mA5deoU165dIzQ0FDMzM/r164dYLGbr1q2cO3eOoKAgzp49i6enJ3fv3n2i/qhRo4iPjy899PWfr8LyNiKRiFn/Qyf8vOyYuvIMS7aEvHTdFgED+N/o2+iYetDMKAnduwvw/bI93X4eT3icZllBW0+Hb/pMxV8+nW9qN6Hhrz58ElT+Pt28APMGXmDM/Krki+/Sv39/TE1NOXjqArZ9ZmPi7MGFRaO59vvsp72Nf52rsZEEfv8RSVnpyB5UIe3QXmTKdIYOH8mhXevQ09UpV15AIJokNnCaC0Shi5zW1KYtvqTsjuKzaj2pVtOTvicmcoBQiigpV9/PVURnOxX2wb2IV15Cz8iBe04y6lZfyGZpPc6K3dDL1WFwcntWNpuLldH7H5RXQQXvI1KxGPSePXlxrGTBF1+MIctGm3RfK3S1tOhtW58Gbu5YGojB4sWTmnPbQhCJRPgF13qdb/2doRoat5ybPABAR6xNI0M/wvJvkWVhQU8/fURmNUvLh6WlUctajLyghNMPb5GWXZYHS9dQlwfaw9lzyA2ST8DpbqB6Utmogj+RFQuIwPDl1MEKCwvZsmULXbp0oVatWlSpUgUHBwd8fHzo27cvc+bMITw8/NkN/JFIsjBds2PxNIozNUZnxBww94egc2D2/P+R9IeZ3Lgyn8rNr7L3pJjM7LJrFu7N8ax7nzwTHbpZByMTl3fTDEOz2Fsd52d3oMjX3CtDe41M838IsVhM62HNyU3P4/TGCy+uABgZGVGpUiWk0lfbiRIJb7nWX2JiIu7u7uTm5j5xLSgoiBYtWjBq1KjntmFvb098fPxzy7ytpGbmU3/gCqITMtkxuxttA5+vKvM4ypIiTuz7jBshv1AoMmBRgi3xCl2CazXmq+BB+Lpo/KITsxP5/OwkbljH4bktidOLbpGYWX4y3jBYzMwfF+Bp2ZfVq1eTlpZGE//aJG+YQGbsTfyGzKRG97Gvdex/h3O3r9FixjAKiouQRDthEReCTCJi/vx5tG/f/ony6eRyhlvEk44MKb64UaXYmk0zfuOXBUs5nx5e6prwZ2o5w4BAMe4SMGn5DZejfkRATYmfnDAzc67gAoKIanfsGOEygPq+9d5LV8YKKvivoC/TprKzAeEFJaiTc0AlINHSopafL117d+N6Wizrrx5BqS3BRqzF1LYjuH/zNr0D7HE1k0L1Xs91GykqKKaX+VAq+1Zi+smJ/+DI3i42c5YM8hhAU7SQcSTrLCNjvmec3Sd4Xymk1oQwJDdmo1Jrns0B7iaoWmhzPsuaAd4fsGLcjNK27obGMqrORKbPfICHzXlwCIaADf8p951XQqWAa6s1Cl7urZ9btLi4mLlz57Jq1SpycnKQy+V4eXmhp6eHjo4ODx8+JCIiAqVSE+dZo0YNevfuTYcOHZ50CyrKhpsbNblZ3B7zQFBkQ9TPEDkfFFng0hfqLtTEjDwHZUkRS77+AKXsDHfuS1i0Tg2PPi+Obh7om9TAfsxdklzNOVp9LeaysvQPWeSxjlNUwopW1H52Jw+vQOIVcG3xZsUJ3lLysvIZYD8Cuyo2zA359qXnN4IgvNJc6K3bYcnPzycrK6v09w0bNlCzZk0SEhI4e/Zs6fnMzExiYmJwdX2+ysq7joWJHgd+6oWZkQ7dvtjCpRtPd4N7GlKZNs2Dl9G8/a/oSxSMcYhhiJcFO0NPUHdSH4JmDuPs7TBsjGxY13IxA4vbcqu9DRbrGuFfza1cW6d3qunSaDhrDvWmd5/uWFpacvzCFcy6/oBJJS8uLhlH2PoZz3gn/yxrThwh8LtPyC8qRj/aBov7FzA1NmDLls1PGCtFKDjFTTZymnjSqYY9XqGGLG4/BVsDCwZMGsq59GtPGCtm+jC8uYT9n4lZ1kGMi1gHp36/ce3+r5SU5JNZR8wmU29CRC4YZ+nR9qIvM/2/okHd+hXGSgUVvOOoVRI+dsihq70Rhj4uiNp7ouriwWWnAsaeXsnqiOOoxdBaZkjETwdJvBOLhakhLkZKTc6JF0ySQ/aGoShUUL/jf88d7HE8cUSJijuPgu8DDOugK9bhYOYpatbyxsfFCFvrMn/mc3cyaeaThbhEze9hR1GqyoRQ3Go541rbhSlTXFHadtLk6jg/8NUCvP9L5MSDoH7+BFwQiL4dzqAeLTi2ZQ6Bnnos+O5/hJ3Zwe4tv/H7hvWsXLmSgwcPcvv2bXbs2EHv3r25c+cOY8eOJSAggPXr16NSPfY3eDyRZEEKJB6Gi8NgZ2UInwJaplBvBfj/8kJjJTc7nt+XBKCUnSEmTodfdkhLjRVEIgxcg6jrdI2EymY0061TzlgBuEYsAD48J5m3oIa0CI1ggNFzJI/fY/SN9WjSpwH3QmO5debl5cMfRDx8caHHeOt2WKKjo+nUqRMqlQpBEHBxcWH+/PmIRCI++eQTYmJi0NXVRalU0rNnT7788ssXtvku77D8waUbCTQevAp9XS3OrRiEm4Ppiys9RnJCCHs2dCI3Ow67at3ZkenA7xePoRbUNK5Wh4nBg2jqUZeLqaGMvT2NDN08LKYWcnnPJQqKy+SVJWIY3M+YidMOs2vHFZKSkqhfy5vs7ZPJiL5O3Y+n4dNrwuse/ktRVKxk4NylbLixEtQSqqZbkX09BDc3N9asWYOTU5lcsQo1N4njEncopgSThFweLD/IupV7uB6b+tT2xSJo4CqhsYMKN20QyS1xrNcWp/ptsfD2Z+uaJmQkR3Cvth3HnbxBJcU7wo7AAh96dOuOsfHfzOBbQQUVvBXoiPTYOm0i8Qe+JF1qRri2F+dTk8kSK5GLVbiqC5nQpRttP5/Lvn37CAkJoV0tK2o66IB3D01yw+fwQ4d5XNwZyqqEBZja/HefGwqUrOQopujTBU1swfjYGezNPMEh98Xs/3UHY5aHk3NjZek8tFFNPRKrW3BbZcLMloMZ23NwaXsHfznOz5+sYNiSPgRVXQbxuzQ7Lf6/gtZ/y5XnCVQKUKRDcYbmeHACsu+BhTuocjWuWI9fV2SgKkxF8pg65p9RCyIKRXqoZMboGNgi07UCuTnFIn3CIuLZc/g8D5LzMTB3pvegkfg1bAkSbYjZDFHLoeAWKB/FhRlVg2qjoVIPjWrZC4iJ2svBbf0oKkgnJNSYHVdE5CeXuQm269afy/d0Cex/ghv1HVnnPocaemWumkUo+I1jmDz67Il4xkJjZgxEHwbbOmDz33TfBEi4nchQjwm413Vh5tlvXmphdt2krfSa0uml+3jrDJY3wftgsADsPhVF+zEbcbEz4dyKgViYvJpyTGF+Gvs2dedB9FGs7f2o1nQe847vZ83ZfajUKuq5VWdi8Ef4eXox/ur3XJDdxOiiQObXd4hIK6/a4e8uYvHUYG5kBnIvIQe/Gh7k7fqejOhwHP1bY+XdAMuqdbGoUgct/Tf7RVCsULJ2XzhfrllNis5pJGjhl2tKzOWrBAQEsGzZsnLGQnxJDJEZe5CnhHHvwBV2b7/DnssFKJ7x3LXRB38L8LMCN48aONZ/ZKRUqYNILEalLOH332qRGnuD61WduehRFWWKCy2umRLoUoPg4GBkshc/YCuooIJ3Ax2RHlN6z6DzRzacnTeUwkxN1nuRRIpTvTbU6vs15u61iIyMZOPGjTjZWtC3pgSxvR9Y+zy37bysfPpYDcezYRW+P/LvLP68TRwjnAji6UoAFhhyLOs8n8V8y2jbQXRN0cZy8BVcY+dwPVGTbFkihk9nyZl3pRo2YgMerjlV2lZhXhH9bD/FytmCBaHfILowCO5vBn0XCFgHZs9x+3lXEQTIvQup5yHvXqmxoTE80kGRqXlVvoQ4kUis2eHQMiE5S0l4VDxFgh7Wnj6cS0riYXYmOhI1ehIBI6kKc5kKMy0l5jIV5loqzLRUSEWvMOXUdoTK/cGpk8ZgeQkUxbmcPzaJq+fmIpEasH2vLteSRWQkpkCJJm+fmY0jLo0+o2raGsK/s8BV25EtNX4tN8kO4S4Xuc0H1MAdu2d3eHsv5D7UuHnKXk316n1jyfDf2LvwCOM3DSegi99zywqCwJAq41h6e9Zzyz1OhcHyjrF0awhDpu3Fz8uOY0v6oav9ahNhtUrJuaMTCTk9Ax09C1p13YhS350Ze1ex8tQuFMoSajpV5cvggWRapvJz6looVmM9LJcj18+XS9RpoA3z+2tR178hR+K9cK3qD2d/JTHsOMJj5Ywc3LGo4otltbpYVPXFzM0HqVznaW/vlbj78CGT1m5lx6UzFIgTQZ6HoZYhVR8IPLhxh+7duzP9hyloFURBegiK9PMUp18gMSqGVSdVrD6jJiHz6W3LxVDHEgLsZQQ2aYZzg3Y4+rdG38oRlbqYtIIQkvPOEhuzh+iLFyFdwW1HW05Wr01GWHu6PUyn8wf1aNCgQYULWAUVvGfoSvQI0u7KhrSliIRiMqKvIxKJMXasitxAsziSk5PDkiWaTM5DGllhqC0Crx4vzL1yeMVJFgz6lU9/HUSLQY3f9FDeepLIYivn8MaJQDwpVitodL0Hztr2/G4+nH6TtnLtzFHCrx0pddxt7CfjViVnUqT67PpkJm0bNi9t75eRa9k1/yDfH5lAjaYecGcZXBkNCOA5ATxGg/QdnniqijU5SVLPPTouQPFTvAZkhiA3Ay2TR6+mIH90CFJIjwELH7Dx05zTMgUtIwREzJ07l9mzZ2Pl6YLM35nLsbeQSbURtANRSqthb+FBM3cr8opyyC3IIfzBLZLSQqE4HCNJLtY6EvrU9qVf3XrY60nISonm3LHdpD28jYmeCG37QHybfYJxYeJL71yoVUpuhq7g/LFvKMhLRqzlwpK1BaQVSUjPz0CdXqYMN/vnVUxfFUpwu71caFOZaU5jaWvatOwWomI1JxAhog+Nn517pTADbm3R5F1xaf70Mv8hslNz+MRtDAZm+iyOmIFM/uxnXeT5O4yt/y27hTUv3X6FwfIO8tXCo0xdeYZ2gVXYNqsrEsmrhyLdvbmNg9v6oVQWEtBiBrXqjyIhM4XZ+1az9Ng2ikqK8bRzpX/7VhyQHiFJkoHjchFhKy+TWFA+QVDnuiIWD5CSiAeZ1gPwbzGIjLthpERdJjXyMqkRl8h5eK+0vEgixdTFG4uqvlhW8cWiqi8mzp6IX6AYkZ6bxcnIK+y+co49V86RVpRces1Y24SGzlXg1DFc5CkMDK6Ot20xoqzroFaQVySw+aLAr2clnLv1bOk9NyNo7GJAxw7tqda4I3a1m6PSKiIl7xzJeWdJzjtDWkEIWXmQEyHDMD4fNRBZyYFTlh2IvdybgbKrfN6tCZUrV37lv0sFFVTw9mOoa0Cjwvb0m9eFziPaPXFdrVazZs0aYmNj6daiDlW1EsDOD6xrvLDtic2nc/N0FGuSfkb/FXfR30cEBH7nNPkU0Z9mSJHwRexsdmce5UDVZWQc3ovvtw/wejCD0BRNLIRMCh9/KWdRtAdVZBZErjhY2l5SdAqfuI2hdqsaTNozWnMy4yqc7Qc5kaDrCLWmg2OnZ+b0eKsoStXsnqSeg7QLkH4F1I8U0EQSMKkBFvXBoh4Ye4KWmcYAeZ5b1YPzkHIdqnUEXfNyl6ZOncpPP/+MYV1X7hkVAiJ0jD4gT9YRbzsrvmhiTJfq+kgl5e9dSp6S3TezGbd1Dxlp+6DkDhKxhIGB7ZjUYTB2ppacOnWKSZMmERUVhb6+Ph8H16NvyzpYNRryTENfWVJExLU1hJ6ZTWb6bWRyUyLvO7Nt30MkIn2SdHIouZtSWj64Wz8eSurg+mAV0d8aoGNkzmGfDchEZfOPSOI5Sjj1qEItnhMnfe+QRh2sanvQs3x2uf8Q22btZeW43+k/oxudxrV5ZrmvW8zg2pGb7FKvfmaZP1NhsLyDCIJAv0k7WLMvnP91rsPC8a3+0ip+Rmoku9d3IDMtkspeXfmg/XK05PokZ6czZ/9aFh3dTF5RAZUdHPBoa8td7ViM70qRDkvgZOrVcm1Zm4pY84mY5l5iSgQtxGIxIrEYkUjj+SkIAoJajaBWIQia1/I66yJNebEYkViCSCQGkRiVWoVKrUYlqFCr//RRFUD8WPsSkRr5YzaPWsucI4n2LDyWyaHDcRQVPN1QMdaCJlUt6dW1EwHt+yKvZExKgcZASck7S3ZxFAAFyIhROqK+rcb+biwStUCCtTUi3x5svdSQ6DhvBphfY9agxuUSnFZQQQXvFzbmJvhmt8XAVoeF12aUczkVBIHjx49z+vRp6vh409ohA+RGUK3DC4PtH0Q+ZGi18TToUpcJmz5908N4Z7hGDGeIoDk1qIIdJ7IvMjx6Mp/bDmBQgTk1R53DPm4je0JvlNb5MBBu2FcmAT1Oj1lKQM26pdemdprP+W0hLIqYgUPVRxnc1SVwezGEf6dJRGgZCHXmgMmTubr+NQQBcqLKDJTUc5B7p+y6zEgj9WtRT2OkmNUB2V9I63BjI6iV4N2znNG2ePFipkz9HnF9ZxK1CjHUsydH53MMDZyZGmTKEH9DJOLnz0XyitV8dzSTHw9fRJWzDhQRaMvkjPiwB+Pb9MdQW49du3bx448/Eh0djVgsonG9OnTs0Q8/Pz9sbW1BEEiMv0h05C5uXV2p2VGR6PEg1YnNe9JRlIhxsPMgTHQfxeWy1Be2Lh5Mm7uSEd9tpG/jTRzt6cUo24EMtOpSWkaNmg2PDOS+NEWbZxh2+akQuV0jSuDa4tXv8XuKokjBcK8vSI1LZ+qJL6lW3/2JMteO3WRis+k06dOAUauHvHTbFQbLO4qiREWrEes4eimG6cObMb5/wF9rpziXQ9sGcPfWVkwtPGjTYxumFhrp5PTcLBYc2sD8QxvILsjDtYE1er4iUAlUGwc7z56g6E8JuAa2s2R0kCkyieZ3qVSKnp6eRt5QVwexqGw3SKkoQpGXjSI/i+K8LPJyc8gRIF8spVAioUQsLk3QJlKDqESN+NEhUpV9bCUSCdra2mhp62BbrRkqU38W7bvJyvXbSLzz9L+7RAT13Kzo0S2YFgOaU6gbqzFQ8s9RpCzbPpfKXEiU1+SGQpuSyKv4RN5BW1FCkbEVGbZ9OB3ThitZ1pQgpYtNPGuG+iOXP1+5pIIKKni3sbe15pPqPbh8MI26I6rRf3Qf7O3tycjIYM+ePcTGxmJpaclHAWbIFNmPVmBfnHdp8bBV7Ft0lOmnJ+IZ8PIS9u87RShYxTGsMKYD/ijUChrd6ImtlhVbbSbw+4YtfLXiJrr3lnMjQ1NHTxeGj5IyI9YbHx07ri7bXdrezTNRTGj4PS2HNGXo4gF/6iwVrn0Dd1doJusufcEiAPQrgZ69xpVKavCkcIJaBUVJUJBQdhQlayR4FRmgVoBYDmItjbqVWOvR77Ky30ViEFSPDnXZz4WJkB2pOZSPpXjQrwTm9crvoIj+pvhrURbc3KRJgOjUsPT0li1bGDZ6JPn+1uRrqbG3akA8n9Daw5xlnSywNZIiCALxMSe4GbqC7MzoRwuUKtSPLVRq65hgYORIgcSWdRGGRKbnU1R0ibSCFOTaxoxtM4hhH3RDSyLjwL69bFk1h9DISPT1lFiZleBoJ8LOshgtqWYXqaBYzoUwOeFROihVUoKDg7Fyr8K3+5eiOhoJSo17ulRblwtnz9Nq3D6aFO0k8QsJBTamHK2+HkNpmVEXQTzHCKcObvjx5GS7lDv7NEpqHp1B59VEkN53Yq7dZ2z9b5Hrypl+6iscqpXFAKU/zGSM/xSyU3JYdGs61i4vvzNVYbC8w2TnFRH48SrC7ySz9rsO9Gr511aCBEHgyplZnD38BTItPVp0XI2bR5n8b3ZBLguPbGLO/nXk6+Th3NYUibEIl73a3Jx1g+ic8sk75bpi5DoSJDIJEqkEiVSKSCwBJIiRIhHJABEqpYqCkmIKhRJKJKCWizURk49WaCTFaqTFanQVSvTVKnQlAvraMiwszLGxc8TBtQouXrWwsLFHLpeT7poHkAAAIABJREFUmprKyjWrOHLgcLlYm8epZGpA+551+XBAZZR6N0jLv4xK0Dz4REgw062JsV497ovtuViUzbnccGwT4ql74zaG+QUoZUZcU/dld+FAsgUDACrr5dHDS8qkDtUQi986pfAKKqjgNWNvb8/FZT8wpM0RjCrrUbmnDXK5nOJizbOkdu3aNK9qiHZ2pMb/3rbOC9v8q7kM/isc4ip3SKQXgRijz5S4BWxO388W9wW437mI3ef3CMqcz6prZYGJXVpCrI0DIYVmhH6zBp+qXoDmO2+032Tu34hn5YN5GJoZPNlhxlUIGQWpZ5+8BhpDQ6qvOQS1xlgRniORLBJryv1VtK00gecmNR7toNQDHZu/3t6zSA6H+AvgFlQq03vixAl6fdSPjFpmFMmhhntfruW0oVN1fTb0tEJRmELE1d+4EfILWRma+YCuvjVisRSRSOM1IRZJQCSiqDCDooL0Z3avFEQIiJCKJUjEItSq8p4RggAZ2XJiH+oRHa9DkdKSOnV88fX1xce/DovO72TloS2w7zY85lXx2+q1hKeZ8cv6IwyttYbdQ2rRx6I94+3LVORUqFnHSRQo6UNj5M/aXclNhNu7wdQNKjV9epn/OJf2XGVqh/noGunQd2oX6rTy4U5INMtHrSc5JpXPfxtM076vttBeYbC84ySk5OA/YDnJ6XnsX9CLZnVd/nJbcfeOsn9TdwoL0vAN/JJ6zb5FLJaUXs8vKmTp8a3MOrgaia8CYw8dZBliTIcrORZ15O89jN8genIJTZpZEdhPhpnr/dLzMrEhlvr1sNJvgKmuP3fVWhzMvsjx7AsUqAuxzMgm8Fo0xpnJKNHmvKofu5XDKUEHS20lXTy1GNrIBg9r7X9xdBVUUME/jb29PfERl5kaPJPzx9Po/tOHFOsq0NfXx9/PD0dJEiRf0/i1V2n3Uqvef/h+/5Uv8v8C8aSxk0vUxIX6VCUsP4Let0dpJp3iOkxccoRLh44QdfMIcY8EryxMRIweKjA13gsvvSqcXbiltL2TG84zu+cien/fmW5fBT+9U0GA7FuQew/yYzW7JiV5ml0OZd6jnx91pmsHuvagY1v2s7blo4B2Y42Bo1Zp4kvUCk1wvFpR/ncARJrYE5G47FVurok7+SeI2g35KeDTD8RSoqKiCOrUjoRqOpRoi/H1HMzljOa089Dlh1o3OHVwFgmxxxAEFdoSA2yVgVgm+FHJqgYOvX0wauiA6E9uYiWKfHKzHzw64rh85x4Hb8YjVWXhohdHdl4ihYoixGIxJkZ2uBgYUd3WFQffj7GwrYVMq3xs193kODZfPMLMvb+RlZuNdF8Myuyc0usf/+9TPh/7Nd7dFtNXbx+Jg1UkuFtwwGsltlpWpeWuc59T3MSfKtR+VuyKIGiMlbz/s3ff4VEV6wPHv1uzSTa99x5SKKH3Ll2KIHpFFBQFvWC9ivcqetV7BSvWn+VakCIoHURAeu89IaSSkN77Zvue3x+LQaQICgRhPj55wu6eMzPnJI9z3szMO6WQeM9tt7P91Tjw4xE+fuRrasrO/SzUjmomf/QAgx7pc9XliYDlFpCSVUaPR75BkmDnVw/ROsbv90+6hLqaPH76/m5KCw8SGj2QIWMX4uh0/noMvcnAN9tXMTvtWxw6S8gU4DgHjs07hrW+9BIl31gyGbTsoKD7aCtJvUDlAFp1GL7a7vg5d8dP2wMXTRxHdadYV72dDTW7qLXah9ojKxxIOnoSz/osbJKcfbZ7WGd5GqvSi7sSnZjU2Z0+kY7If2euriAIt6Zf+pQz27fyZL9vSGzvyRtrJiNTaqAyA+ry7cFK9BBQ/v4UUZPBxCMRzyJXyPky+73LZte5XUlILGA7ZixMoB9yScaIU5OpsdaxJeYLGg99T+z0LIZVz2ZO2rnHmofHgibYmc+Lozj22ve0irWnx7WYLUyJeR6DzshXObNx1Io/PGEx2ne3dwuF6EFUVVUxcPhQjvvrsTgp6N56GrvLe9PTJR/tzuf5edMhfru09BcqFHShBYM8ujDq/tGEPtgObQf/S44cnio1MWpuCRkVZoa1cGBoeDLf713KroxjSJKEUi4nytuP+JA4gj19MZhN6Ix6judlkFpo33YhQOuJaUE6lQ3nnvd69R/E+jWr6PnIt5xOT2da63ksn9aR4R79mBX+fNNxZqwsYBsSEg/QBxWXWG9Wmw9Z68A7DsJ6/bH7fBvR1TayY9Fe8lIL8QnxouffuuAT8sfW+IqA5Rax7VAug55YgI+HE3u/mUSI/x+P+i1mA9t+eoKUw1/h4h7G8PuW4xt4YVpBk8XMB3sW8K1lMXIPaMw2Uvq1M/oaM5JUCeYy+0JGm4TcKsO7wRHfBgc8Gx3QGpRYsdEgs5CnMVHmaESmMKGWmXG1WVBLFqwyC2asWLBisdnsXxawmMFqButFRt99g6H7cOg+VE50ZBJ+Lj3wde6On7Y7zuogJEkipTGDtdXbWFe9nQqLffqAR4OWkBwnwnJy8DbvRSGzcNLalzXW6SREtmJCB1dGt3RG6yCmfAnC7e7XfcrHD7zHhgXHePn9BDr1PNsRe0RCeJ/fXWT/i3Wfb+bTx79l0uxxjHpmyHVq9V/fEU6zlzT605o4gvmqZDEfFM/ho4hX6FdRxz3vHMIzZT6LD6dTfXbAItpPw98fMbCyOgidqT2HvlzVVN4v9/2hd/7G6OeGNdNV3USqsiBnC4T2xOwezdj77mWtKQOzm5qebaaxMzsW/72vUnJ881UV64ia7iQwxK8bI5+8j/CnOqFwvnDz1Fq9lb+vqGDhsQZcNXLeGuLJ8BZGVh3axIa9KzhVWUV2bR1W27nO38/Ni+FtezG0VTdevPNp0srPJV6IiInn6MG9vLfoCP/5agfP+Kwh5WE5JVFerEn8ilCHwKZjf/nd6kkCrQm/+IVIkn2hvb4KWv4N1H8goYHwh4mA5RayaH0y42YsJzHSh11fP4y7y5/7i1HKoa/YumYqyGT0G/4Zie0euuhxDWYdjx99laOqFCyNNqpPNGJtALXBl0ZLDI3WVlgsLVFYnWlpaKRTYwOh9dUcLM9hbX0VZiQilA484OhOL4sck06HXq/nl6T6GkcNWq0WrVaL0hks2lrMzrUYnavQa6rQa6rRa6qxOOqIiO5IRKdR+Gq7oFKc+59Jpj6Xn6q2sqZiCyU2e1pmZ50DoYXeeOb5o9KXEWz+AQ11FNgSOOI8gzu6DGZ8Wy2hHuKvnYIgnPPrPqWquIbJ0f/A01/Lx9sn4+ATAg6uV1yWodHI1MR/oq8z8PWZ98Vf+i/DiJm5bMEVJ+6lB2WmSgacnEAft8585PUQR7es4JG39xBZ9gNLf7XX8WMT5EQFS3xcGMOCqXPp2aELAGajmUej/oHVYuOrnNk4OF74EH1bOb0ZqrOh9XheePl1Pjy2GqOPhs4xo6jbkc2ZXQtpNF56Z/sr4YkL01xG8uhrTxD4eDvkmguD+p9O6XhseTkFtVbaBal5f7g3vVxyIW8nJu9WVLhG46TW4OygQaVUYTab6diyH8czdjWV4eHty+ED+yiuU9LzkW+I1VYzJnYhKx9rz2jPgbwe9kzTsSbMzGMbKhSMpzcKFBe0CTi3q71vSwjp9qfug3D1RMByi3ln3m6mf7SJiCB3OiYEERXsQXSwp/17iCcB3i5XNZWppOAgP30/hvrafFp1fIzeQz9AeYkpDuurtjPjzPsYMF70c5nVAVOjKyaDCxa9Kxa9C8pGNQkePgyLD6d7oB+BGk+8lO5YDBaysrLIyMggKyuraTGrm5sbsbGxxMbGEh4ejvIye7fkG4tZUfwza6u2USCzT1XT6FWEFHkRVhqETdaTkro0Yhtm4y3Lo5YAGsNeYtQdD9ElzFEsehUE4aJ+26f8sv5k1D+GMOndcVdV1qd//5Z1n23m4Xfv465/DL3WTb3l7CSVE+Qygo6E4MOUrBnsrz/G5sT5eKat4443M+iX9y6zDujRnd3ZPMrdlcen1lFrVbGquCvHv93eVN6PH2/gf0/O59EPxzPiyUHNdVnNT7LZp4M5uPHt/lqmfjuLxhBn2nvHo12+nO15hvMOVymVtGvXjtatW+FobcBP3oD5zFGMVUVYbHDC6M2hUiuVVRffnbk14Uz3vY++r47Ff1Jr5Orzg4Q6g43XNlbx8Z5azFa4M96RvtpMEp0qiWnfD3dXF1wc5GzO1DFhzP2Upa5uOtfP349tW7cRGBxBwtiPKK1s5J2o1fx4j5rKME/WtvzmvLUrB8jkIJn0pRUJhFz6/qQuA1O9fXTlNt/VvjmIgOUWI0kSr3+5na9XHaWgrI7f/nQ1DkqigjyICvYkOuSX7/aAJszfHaXywilPjbpy1i2+j/zTm/EP7sywvy3FxS34ovU3WvUUmkqpMFdTYamm0lxNubmaE8VnSC7Op0FWj9LNgkJruuyeXE4yZ3zVnvioPPBUuKHWK7FWGtEV12OtMqExqNHaHEkMjiMuNo7Y2FicnZ0pbCzhh5zVbNTtIV9lD1LURiXBxV60NbTAQ92T/fVBnMg+zB22mUTIj2KRafFM/Af3jpiOs6P4n5AgCJf32z7FarHyQs//kr4vi+nfT6XnvV2uqJwDa47yn+Gzad03nv9s+qfIMngF6mhkAdsIwZvhdGJt9Tam577F9KDJPGgNZ/W6zSz4ejmU7mXJuf2KmTpVS7RHA6mNLgwetJDRA+2b2hn1v14/9C5qzW06ylJfBBlr2F2oYtibs6iN0hIrd0K2ejfpNecf2q6bL3c9FIB/uAwv91BahT5AuPcwFDINJcm7ObjgLUoOrMHBN5zTYcPZtOcwKSkp1NXVnVeOAjlj6MaUkLto8WxPfB9sicrT8bxjsirMvLC2kuUpuos2W3ZoLtLW/zS99vP3Zvu2XURFxTBw6hy2Hi7g0RY5eLmt5cdH2/M37zuZETK16XgDJuaxDSfUjKMX8kvtal+eCnm7wD8Jgjpd/BjhuhIByy3MYLSQU1RNdkE1WflVZBdUkVVQTXZBFTmFNVis52f1UirkhAW4NQUw9pEZe0AT5q/lyM5XObzrbZycfRly7w+ERPS5bP0ms5Xvf07h7Xm7OXm6HJVSzvghrXnugW7ERnhSbamlxFjFvuIy9peWcbK6ggJ9FajrUGjqUTvW4eBUh6RsvHQlEjiYlDgYVTjI1ZQ714IMlBY5YRV+dJcnkejWl71Vfiw6oae2Kps7le+SpFgHMgUxSY/Sd+BrOGnFLrWCIFyZi/UplUXVPNP+ZXS1et7Z8wqRSWGXLaO6tJYnWv0Li9nKxydm/uGFqLej9RwhmxL+Rk+0Ngf6pYzHU+nO6uj30R2az93vnODOis+YfkiD3mAfGQhzcmfCSw146C3sqQzmh//LaxpFX/HeWr55bhGPffIgw6YOaM5Laz75ezlzYjvdZy6gMFKNd50R+aZUyn7V/apUMu6eoqbHCAkHdxNyuRwJ+3OEzerA6ayO/LC0J6fz1AxQ7WGMwybMSi0MmUVEy3hWLFnIkiVLLghcvGWuPCYNYYC6Hb53x+M9Oha3vqHnBS8VOispJSZOnjhKWlojpfkuZJ/Yx9Hdzza1wcVNw4F9R4mLi+Pxmav5fPlROoWYeFw1j28mRaLzc2dtwtf4qb2byt1DGkc5zUCSiCGQizLWQepS+345iWMv3INHuCFEwHKbslhs5JfWng1kqskqqDovsNFfZJ5qsJ8rPSOzae/+NXLMuEU+Q5suzxAd4onbr+Zd1+uMfLniCO8v2kdBaR0uzmqmjG7P0/d1Icj38nO7jRaJA/kGtmTp2ZqtZ+8ZA2bJjELTgJtrPa1DDcQE6vH30qFyrKfMWEFhQzHlpioa0RNq8KefpjN9Awayt9iVeUca2JljwIkaRjl+RgdpHjLJTGTcCHoMfAtPn7hrfm8FQbi1XapPSdubyb/6zMTRRcOMVc+Q0P3iG8811OiYNeYjTmxJZfoP0+h5T+fr3eRbSgk1LGMPcQTTn9a8U/Alc8uXMyf6LTqWlfLpykMUrPyErLJylmSYm86bNsUXrVstfmojjR5/48VnFwFg0BmYEvM8NquNL7LexcnF8VJV37Lq98+l1z8/4FggaIpqke3KQf+rxwBnuTPtbX1xxR0AuUKOo4cTeg8Fxk65tB1+gpjofCxmNSW5Y8hOG0HZ4W0MrpuDEitzLWMJ7DKStsFWNi3/nD179lywX1qscygP6frQjXhkMhnObXxRB2pRujmAXIY+rYrC1BwO6NNJJpeN8uPobPbNq+VyWLt2HYMGDebj7/fx5Ls/E+YFH3bNZoN1O9tHJ/C4//1MDRjfVF8djSxiB244cy89kHGRaR+S7Wyq51KIGQauQRceI9wQImARLiBJEsUVDfYRmfyq84KarPwqHKQCHm73A37aCo4WJ/J98ghcXexrZIJ9Xdl04DQ19Qb8vbQ8fV9npozp8IcTAOjNNvaeMbA128DWbD378wy/bFyLu6Oc3pEa+kY50jfKkXhfNVuy9Mw9XM+KFB0Gi4ST0sSjAYuJrPkQm6ka38D29Bz87u+ODgmCIFzK5fqUQ2uP8dY9n2A2Whj74nCG/v0OPPzOZW08siGZjx7+ksrCagZP6cfUzy+ezES4vOXspZQaHqQvZYYKhp96lCHuvXnH6wHSdy7jP59tplvdav5xxA2DrhaAAJUrD8/VozgBrgozg+5eRsuk0QCs/98W/m/KHO77912Me3V0c17aDWdrrOKu+0eyWl2HPK0M6UQJv34w9NO6M35UXxJChiOzaCgprmHP3myqi2twbzQiAwLahHLXjAga42ZTazyFm0ML7oheTVVaFRtfvBOpsYrvjHey09yeuDAPWmgLOb5jCbm5ORe0J8ovnF5ubehQGUZQvRuuJg1FVPGD4x7WGw5ili78g+qbb73BC9Nf5OPv9/P0e+txd4JP7/egdPV05r/UG1cXX9YkfImj3P4sIiGxmgMUUMlIOhGM9wVlAlB8FIoOioX2NwERsAhXRZIkqmr1ZOTkc2z7VIyVm9ETwvbSxzh2Rk1ppY7YUC+ef7Ab44e0RuNwZWk9r5TOZGN3rj142Zqt51CBkV9mtqkUYD6b7bB7mAP3B25Cdfp1GmpycHELpfuAmbRodR8yMU9cEIQ/4ff6lNzkfN6+9xPyTxWhUCpoc0ciSpWC2rI60vdn4+ii4dEPxnPHQ71Eco8/6DQlrOMI7YmiCy2YlPlPDutOsjlhHu5p6/nPslM4bfuAIxUSP6Q2NJ334PAACmMk+mvKUcnkPDj1AL4BSVgtVqa1epGK/Er+l/UuHv7uzXh1N9YLz0/m3Yw92A7nQ+H507U6dHXmo88/oWvriVitNmbO2ckb3+zEaLJy74BEnh3air1zdrB1/m6sFitR7cLo9LiEoc2bqFWu9I1cgkt9BGufH0RdUTbliZN4MzmKhkYT/h4OhFgPk3l0EzU1NZdoHchkMi73qHrf+DHMm/MDz77/Mx//cBAvZ3j5nmACD77PyvZwvEcIb4VNZ5hn36ZzTlHAFk4QTzD9aH3xgnVlkL7anvUvfvQVpykXrg8RsAh/mCRJHNr5Nns2vYhKrWXQmHkERgxF46C8YZ1wncHGrhw9W7L1HC0y0T1Mw50BKZze9wIl+ftQO7jSsdeLtO36JErV7TfMLwjCtXclfYrZZOHA6iNs+GobRzekoFDKcfHSEt0hgikfP4hfuM8Nau2tyYbEQrZjwMwE+rKlei//yJ3J0wEP8Qgt2LhxI6uWbaRl9QaeSwlAV1UMgItMw79XSXy1PIhJQTk4qF2495Gt+Aa2Y9+qw7wx6gOGPNaPv392e4x8fTvnfzyy/EOsB/Og9Fxgp1DA2MkBvPvKdoL8YyitbGDcjOVsOZhDYqQPn0wfSp8O4U3Hl+VVsOLdtWz4ajsmvYmAODciJm3Gr08mnUPeI1xxD+teGExV9gmSJr/HhsYOvPfdXmrqDfhobfgbD3EmddcF61suxUWhpU0/K4/eOZ7Ow//LE++sY+OBXEI94bUH4ojTH2Prlk9YNL0HrbTxLIh5r+m5pBEjC9mBAjn30QsNF9m6wGKEU8vB3Ahxo8BJrDFrbiJgEf60vOzNrFv8N/SNFXTs9SKder+ETHbjRzHqa/PYs+klMk8uRS5X0qrjY3Tu+wpOzuLBQBCEa+dq+xSzyYJSpRCjKddYMmfYwUl6kUCcLYg7Tk5AI1ezLub/qDswnw/W5+Gx6wOO1Tvx7ZHKpvNGJIahfaSeI6nuTPLJwdnJjVEPrsc/uBP/7PVf0vZm8UnyTELib+31CquXLmDsNzMxpRRBfm3T++4e8PjLbXlx8na0zi5sO5TLfS8to6Sygcfv7sDsZwZdcvZETVktq95fz5qPN2LQGfGMb6DFYwfoOKQjHT3e4udnRlKbn06v6V/j33Mc7y/cy/vf7aO+0YRGbiJMmYGLrYSs9JQLRl0UciVBtnASfMMYPSeHXn4v8tbcCubuNWCToE0wvPn37rQLcWXFtG6seL4PRX4OLGzxPi2dzq0n+yVpw2DaEkXAhRchSXB6E9TkQGgP8Em4Njdc+FNEwCJcE3U1efz0/RhKCw81d1OIih9F9wFv4unTormbIgjCLUj0KTcHM1bmsgUHVNxPbz4umsuXpT/waeRr9KqsZ/HGQ5zYtJbQ8h08n51AXUEqAEoUzPrMlQ/3+eCosvGYfy4aB0eGj1tJY3koz3d9nYSesczc+uItm2r658XfMPKbdzFml0HWuWDOzx9e+WgEj45aikKh5M1vd/Hy51txdFDy5UvD6d8/kFpLPR5KV9yUrqhklw5clsz6kXWfbcZstOCVVEa7J4oYPuBV9k1/nvqSXPr8ay6xAx+grsHIt2uO8cF3e8gpto+weDhZiXCpITpAg7vZSuaGUyhKHAnvVUnSi6dZsmIi2w/Z924J9oB7Ojvy0N+GEhsewqpp3dgaYWDHiFgm+I7m+aBHm9qVSREbOEYkfgyh/cVvTukJKNgHHpEQ0Z/L7sEg3DAiYBGuGYvZwKGdb1Fblf37B18HcoWK+LYTCA7v1Sz1C4JwexB9ys1jH+kcJpvBtMXJpGTwyYl0cmnDlwFPk7dnMXO35eG15wOOG/35375Ce9YnINHVjweWlDNjTivCNDqeDC9CshnpNXg2exe4sO7TLUz7chKDHunTvBd4Hfz0wUzGrluAPr8CTpU3ve/uCe/8bxKTRn9JZa2eB15Zwfr9GSQOsdJzrAOnyabQVHpeWSHqAPq5d6W/WzeSnOOR/2Z2RUVBFd+/vpKNc7Zhs0h4JFTQaognLpn7kNeepuvU92k19mkAbDaJbYdzWbj2KKu2p2MtqiW2qAqfej3IbbR84ih1iRLfzh+J2ehIrJ+MEd1CmNIFQrUmjL6dWPvfR8muTGXRi33x0/ixPP7TpoX2OgwsYidyZNxHTxz5zSbYkgTFR6D4MDi4QfxdIoXxTUQELIIgCMJtKTw8HI1Gg0Zjf6D517/+xb333vu754k+5eahw8h8tuJ+NjXt8zlvsr5mB8vjPiXmTDJfrk+h7sCPuBbt44WyPtSc2tZ07ug+vqjvNPP9sXBayGy80FZHbVUWsS3Hs/QFLY21Nj479dY1XYBvs1po1JVhMtRiNNZhseiRbFYkyYrWJQhP34TrNnWw9sAZvnn+IV5yKEVfUH5esOLsAp/NfYUH7nqNPcfzuff1RRjiswgZWoXJ0b5pY4RDMG21ifiqvKi11FNmqeSY7hSVZvtu9t4OXgwIuoMI1wh8ZG50pgWu2NeOFmeX8t1/FrBn6RHMOntQo/VuxN2hhJY92xI7YCzGRhO6Gh2Zh3JI25NJbXk9yCVCBuUQ89BJMgv6UJLRnQAPNXcPak/nju1wcnICYx36g/P56f/epLKkgE2v3cMplzq+iX6TTi5tAHtWsJ84xBnKGUI7IvE//+ZINsjfY98g0skbooeAWPd6UxEBiyAIgnBbCg8PZ82aNbRs2fKqzhN9ys1lN6c4Rg4DaYteV8u4jGe4y3Mg/3Efw4lty1m97ww++z4iWZ7I/x2th+pcAGTIeH6mI4vTA8m1ujAmtDXjW5SRm7kOtcqXI4tjiE64h38ufvJPtc+gryY3Yx2n038kN3MdJkPtJY/VugYRGj2QsKiBhEYPwPFPLvY2FtZTsSyd/MVb+b7iGz6LUmDNLcWaWtF0jIMjfPvdh9w76gleXfITXxUuw61rGXIHGz5KT+7zGc5or0F4qzyazimggrUcwSSZKW8sI7smi5MVyZhtZkK1oXQJ7o6voy9JRNCOKNTYp44Z9QbWrviQrYvXUnbEHV3+hXuzyRQS7rF1eLYpJmJMNu07jiHJfwZah4tvxlpfnMu66QOpyc+kcNqdLIuyMNZrCP8OPfdzO0EuO0mlBUHcQZvzC7AYIWcL1OWDSyBEDRQjKzchEbAIgiAItyURsNwa9BiZzzac0XAfPXkw43lSGzPZkPAtHumb+OCndDQpq1AVHOZVn7cpXvESWO0bSnpqnHhiroE3lyZiVCv4eOST9AxtZM/mlzHqq6nJ96ZDzxcY+tAzyOWKK2qPJElUV2SQm7mO02mrKTyzA8lmz7nvH9wZ/+BOqB3cUGtcUSo1yORK5DIFleWpnMn8meqKtLMlyfBybkmQSx+iAu/C3SsauZMSuZMKhZMKmVqOTC4DhRxboxlzhR5zeSP6zGp0R0tpOFpKfXIhpYHbWKYqZ1mUEae0POrz9U1tVTvKWLLoSxw7tuKlQ1+iCypAJodweRiTQ8YyxL0XKvn5WbQyKWITx1GioCcJeOOKC47Umuv4uGgeK6s2opQpuSO4P2Fe0TjLNHQmljiCkZ/dnNFsrSevZjXJGQs5dfAYkiRDobGgdDbjGq7Dz6sN/i49ifN+DFdN9CXvdUXmUda9MBR9dSkOz/6Dd4JTiJPcmO/3FI5+bUGpIYdS1nEYF5y4h+44/DormL4asjeAsRbCzSfvAAAgAElEQVS8YiG0J1zhz1m4sUTAIgiCINyWwsPDcXNzw2az0blzZ2bNmoWPz+9nFRR9ys1nPxkcIov+tCavOodnc2fadzZXd2LvljVsOZCFz8HPSHHpycf6vrD59aZzA7003PmKjC/3xiJHxqHXv6NFkB/b1vyTU8e+Qa6woXUJp02XKfgEJOHhFYuLWyhyhX3UwGIxUlmaTGnhIYrO7CI/Zyu6+iIAFEoNYVEDiIwbQUSLYTi7nJ+VylJrpGpNFhXLMmhMKcdUqkNPGXWRGdRFZlIXkYXV0R5gOBeE4pncFo9TrVA1ai97PySZlcaYLJKd9rKo1oMs9yz0yeVYfrXnotpRzsufTmR7SxnFikIkG7iVhDGr0yP08m5/0alpx8lhF6dwxoHhdMSLC0dITujSeD73TQpNpXT36EjbkC5YFeCNK71JxB+P8443W3UcX/EWR5e8gcJRTcs+z9Jy+DScvC6SweuXc/Q6Tm9bwp6PnsBmMRP78ic877YOhUzOYtkggkw2kCspCYxmlW8jKpSMlnXFHWd7quLaPKg+DXWF9gJDutmzgYkF9jctEbAIgiAIt6W8vDxCQ0Mxm83MmDGD5ORk1q5de8Fxs2fPZvbs2U2vGxoaLrvRnXDjGTEzn604oOIeqQfDUx/BYDOyIWEOyhNL+WRjHqpD36EqT+PVmOUUb/sMMjc0nR8UrCR+rBubykPxsDmQ99UmtI7O7FqxgSUf/YOwTqeRqxvPq1OuUKFUOmKx6LGdHbEB8PJNJCSyHyGRdxAadQcqtdN555mrDVStzqRiaTrVG3KRTFaQy3CK80QdoEXl54zazwmVnzNKXwdKLQfJqVxNQeMWrJIeGQp8rR0IMPXEy9QWR4s3co0ClY8TJk0VxRU/k3LoRw6e8GWHVy4leeU01J//qOfg4UDcO52wtHPGZpSjP+jP8wnj+Xv/vlyMhMQ+0jnCaTxw5k46Na1PuZhaSz0v573Pltq9hDkEMSFiHJWOJiQkOhFDO6KaRlt+UXx8B9tmTaC+JBeZQklk77sJ6TIU/1Y9cPELoyY/nbLU/RQc/Jkze1ZjMTSi1rrT/o3v+JdqOXnGYr6I+i9dXdpA9Wmqqk6wIkyFRS5jVHY9fjJ30FeB2b4mB5kcXIPBPwm0/he5CuFmIgIWQRAE4bYwb968psDjqaee4qGHzm0OWFxcTGxsLPX19b9bjuhTbk6HyWIfGfQigeNlx3mz8HNeCJrCA1Ikx/ZuYe2OZLyPfIPU+m4eU7yKbPEEpKLDTeeHRMlQtg4hx9mLGEdfUv5vNWqVmi+emMfaz9Yz5pV4kgb7UF2ZQUNtAVaLAYtFj0KpwTewPX5BHfAP6oST1veCtkmSRO3WPIo+OkzV2mwksw0UMtz7heF9dwu8RsWg9nW+7PWZTTqyT60i7cR3nMn6uWmamdYpELXFCUNFOfrKBkrq3ThY2sihVAO1F/l19rgrBL+nYpGszlRu8aOdoQvfTL+bIN8LR0sArNjYSjLpFOKHO3fSAQ2/v8ZDkiTml69kduHXKGQKngp5GJWnB1WyBoLwYgBtcEZz3jk2q5W8PT+Ssvwjio5ubXpfrlJjM5uaXvu17EZUv/vQ9OjLtPJ3KTCV8FLw37nPZzgAVdSzUtqPERNDKl0ILy0GQy04eoCTD7gEgFsYKH+TKUy4aYmARRAEQbjt6HQ6zGYz7u72DFCzZ89m5cqV7Nix43fPFX3KzcmMhQVsR0LibltXRp6cjA2J9XFf4JCylC+2lWLd+SXqqtNs67eYRVVxKBbei7X8VFMZrp4gTwyhJsyb9u4R7P9wMRajlX90+jf5p4qYseoZOg5LuqL22GwSyaeKWf/1AY5vzaa8tpFqJeDpgHugK54RHoSFetAhPpCOCUFEBLkDEuWNB6nRp6I3l6C3lGCTLChxxFzTgKm0AVN6LZXHTlFbdxqzq0S5HErqoKIKisvgaCqYzBe2RxPrgv/0eJSuEZRv9SGkxJ93n7uHQd1iLnkNEhLrOcJpSgnHl4G0RcXVrfE4rjvFP3JmUWIuZ7BHb/oF9yNHWYEDKnqTSAyBFz2voSyfkuRdlJzYSW1BJp5RrfFL6IJfYjecfYLINuQxOetFysxVvBr6FGO8BgFQST2r2I8RM4Noey4jmGSzj6oIf0nNErA8+eSTrF69mjNnzpCcnNy04DEzM5MJEyZQUVGBu7s73377LQkJ9h1Gly9fzhtvvIHVasVoNBIYGMjGjRuvaFMn0bkIgiAIv3b69GnGjBmD1WpFkiQiIyP58MMPCQ8P/91zRZ9y80oln60k04FossvTmFnwGc8FPsJESwgZx/exZFs6Poe+wCOyDdMCFlJW3YB8wd3YanObylAoQRXvh6F1AL2cWrDl0+8oyirlhR7/wagz8trP02nZK+6i9VutNjYfzOHrHw7y875sas2W8z53dVSjdlDSoDdhMJ77LDoqj769TpLUJh2FvIb8TMhNhdNpMnRGBUpXJQpXNXIHOdgkJBtUZVopPGJEX3uR6ORXHGJc8HqwDVZNEtVbnIlwCOCFvhIPjuyCIqzLZc/9ZW1QDAHcQRvk/LEH/hpLHS/nvc/W2n14Kz14PPRBdG5K9JiIJoBeJFy4L8olSJLE6qrNvFHwKSabiZnhzzHUow8A2ZSwjWRMWBhMOyLw+0PtFW4+zRKw7Nixg8jISHr06HFehpZ+/frx4IMPMnHiRJYuXcp7773H3r17KSkpoXXr1hw8eJCwMHtauyNHjtC2bdsrylcuOhdBEAThWhF9ys3Lho3v2UU9esbaujI2dSpmycz62E9xTFnOt/tqqN6/Em3ebgIeeJ9R6cORaoqRrfg7tork88qSezlh6xFOS2MASwe8itTOh1dGvItMJuONrS8S3S686di07DK++noPC3ekUWwwAhCnk9FB4Ui/QfH0mtKJoDBPNA7ndoa3WGwcy9nO8dIZFBXtIXk3HN6hIjfFgs3y5x/NnFr7oe47jEZbb0z78+jVJpjnxndlWHgV8vJkiBsFzhdOX/vFaUpYxxF8cGU0XVFe5cjKb/0SaLxZ+Dn1Vh193LqQ5N8eo5McNUraEUUbwi9bT62lnjcKPmVt9TZ8VV7MCnuOzi5JGDCxg1QyKcIBFQNoQxiXvjbhr6dZp4T9OqVkWVkZsbGxVFRUoFQqkSSJgIAA9u3bR3V1NcOGDSMjIwOt9vKZMS5GdC6CIAjCtSL6lJtbLqX8xGESCKG0/Az/Lfg/ng18mIcNfuRnnGDOjiICjv4PFVbOTNrHq3uVOJdnotv4LhRuAX71WCSXQYIvHv6BfHpgGHJHLYvKU3FQqRjbpwfJaonVZeUctdgzefkZYWijA/d1jKHduNZ4DotCprhwVEJnKmB/3gts3LaQH7+Gk/v+/HXL1GrwDEXyT4JW40HpQai5kEd7BzFucCsigz3su7mnfG+fHtVq3CWzYlVRz1L2oETBWLrjcpkF9ler1FTBzILP2Fy7B4BObkkEeUbgofXGS+lOGyKIIxjNr9IPV1tqmVe2gkXlP9Jga6SfW1deC30KZ6UTJzjDcXIwYCYcX/rQCucrHK0R/jqUv3/IjZGfn09gYCBKpb1JMpmM0NBQ8vLy6NGjB127diU0NJTevXvTrVs3xo0bR1BQUDO3WhAEQRCEm0kYvgTiySnyGenVlYDSJXxduoTRke8R4plGbLgfZ6r64XFyCT1O/peuYbPYSwwT/vkmy776nIbUJWCusxdmkyCllOqTpYwLyaWbfz8CZdE0lBbx5catHIgJQOfkyFC1C/d3iGbI2CTcuwcjU1586pTF1siJ4ndYvGYmK780kX74oofZyWXg6YhMrULWaEYyWZBZbWADmSQhUzki92mBLbI/lvhRyJy9cJMZiNGamdjemVGdgwjw7nV+mboyMNWDX+tLBitGzKzlMFZs3EnHaxqsAPipvfkw8mXSGrP5onQRG2t2Q+0xZMjwcfRF66DFUeGIj9wds9lIlamaHH0+BslIuEMwz/lPprVHS5JlBWRQhBEzLjjSgwRiCUSGSE18K7ppAhbgguldvwz+yOVyli1bRlpaGtu3b2fdunW88cYbHDp0iOjoCzcUulgKSkEQBEEQbn0yZPQggSXsZo88jacCJ/LPM2/zQdVyXvVIpH9UOp8VJCKvTSd70wI+ePFuhlW0ZmGhB/O+fofco/fxyQezKDy5+VyhEkh51ezOWwZh3ri270uPZA29ckp5ZsHj9B7b6bJtkiSJ09WL+HrxU3z/aQU5yRc5SClD6euCs6c7NosNtQVUeisyGzg4OBIZE0XfIb1p260LbiEJKJw9zpYN3s5yorxUKOS/87BelWX/7hF10Y9tSGzgGLU00osEAvG8fHl/QpxTFO9HzCDfWMye+iPsrz/G4YYUcvRlSL8a5XJSOuHp7E2id0si3aMplVnZyHEAXHGiG3G0IAjFH1xfI/w13FRTwmJiYqisrLxgStjFFkEOHjyYgQMH8uyzz/5uPWL4XhAEQbhWRJ/y17CLUxwnh55SAh9kfc7BhhN8F/46rU8fZdVJIydOnSbw2JdonN1IfPsIA+frqDHYWDLen5GJzmzcvJ1XX3+DvTs3ccGjklyGMtwLX6cwQsqDGTqgD4/PfACfEK/zDrPZbBwv/JE5m/7N97PTKU8xXNBOubMSTYAbTgY1Kis4KDRodFqcza6EB0Rwz2NjGDFlMBpnzQXnXhXJBie+A4UaEu+56AjLPtI5TDZxBNOPVs0yWmGVrNRbdZRaq7CoZNTLDdSgQ3b2PweU+OGOPx644SRGVG4TN80Ii6+vL23btmXBggVMnDiRZcuWER4eTnh4OIWFheTm5tK9e3cAqqurycnJISrq4n8hEARBEATh9taJGLIpZr8sg2eCJ/FA2jP8t3QuizxH0ycyjZR8Txpjh2A9voS65TPYOuUT+v2viLvnl/DFGB8e7t+bAf17k5OTw/sfvMsXX3yByWjf+wSbhOV0BUVUUKQ5zv7NW3i97yzcvb3xDPZG4+FArbGaouJKLJVGSCkBs+289incVLi180GTaSPKLQalWQslKrQ2V7qM7MCdTwygVZ/4K0oudEXqi8CiB5/4iwYrWRRzmGx8caM3ic0WCChkCtyVrrgrL74vjHB7apYRlqlTp7Jq1SpKSkrw9vZGq9WSlZVFeno6EydOpLKyEldXV+bOnUtiYiJnzpxh8uTJ5OTk4OTkhMViYdy4cbz44otXVJ/4a5ggCIJwrYg+5a8jh1LWcpgo/EktPMo3ZUuZ4T+JvxXXcLRExuoD+QRlLMVWdJLBs9bQEDmAIV8Xk1djYVo3V2YP90alsD+45+fn89LLz7Fg3mL+zJOTwlWF98QIgnTO+Cz3RVHtiRwFLp5aBj7ah6GP98c3zPsa3YFfyd0GlRn20RWN+3kflVDNSvajRsk99EDLnxzNEYRrTGwcKQiCIAhXQfQpfy3rOMxpSulljeeZU/+mztrAUreHCa0sYlW2E8lHDuF//BvkkpVh721GHtaRexaUsO20gZ4RGj4c4U3boHNZp9LT0/nfl58yf8E8yktrrqot7gMC8XsujoAPPdGu1eAb7k3HYUl0GJZE677xqDW/v4P8H2Kzwon5oHaBhDHnfVRDA8vYiwUbo+iMH+6XKEQQmo8IWARBEAThKog+5a+lESOL2AFAdL0707L+TSvHaObqW4Ncy1d7qqjJOopP8neoNI6M+Ggn2pB4nltTyUe7awEYGOvIc73c6RPl2DTiYrFY2LRpE/v37ycjI4P09HRycnKoqqo6r365TIm7myduM8Jw7uFF1L+t9HNLYOQrzxGaEHTtpnxdTk0uZG+AoM7g36bpbR1GlrOHegwMpT3hYu8S4SYlAhZBEARBuAqiT/nryaKYnzlKBH6cKjzKnLJlPObch2n1HlS4tOHrFduQlaTicWIhTh5+3PnBNtyCozlaaOTtbTUsPtGATQIXBxn9oh3pEe6In1aBl5Mcsw1OlppIKTGxLVtPcXUjNJTiQS2DvIq4Z3w4Mw2fY7YYGPHtCe4fMYsWQx66sTfg9CaoPm3fe0Vt389Oj5FVHKCSevrSigRCbmybBOEqiIBFEARBEK6C6FP+mjZwlEyK6WWL57WMd8nQ5/KtrD/tZD4UefVm3oKFKAuP4pqyFI2rJ4NnrcE3oTMA2ZVmvjtSz88ZevbnG7DaLl5HCx8VbbUVaIv3EOdupsXIBF6p/hDJbOaexblMenRBU5k3jFkPyd+Bsx+0GA7YR1ZWsZ9qGuhCC9ojkhgJNzcRsAiCIAjCVRB9yl+TAROL2IkJCx0NoUxO+xfOMjWLLN0IDOhJoeTP/PnzUZacxD11GTIZ9J+xkPCeo84rp0ZvJbnERKXORmWjFZkMEv3UxHjK2LL+R06ePElgYCDenZ14zTgfudnCQxtNTJq2GCcv/xt/4SXHoPAARPQHzygaMLCK/dSgoztxJBF549skCFdJBCyCIAiCcBVEn/LXVUQVK9mPG0541sD0nLeIwo359MGl5QMUlFYxf/58FDX5+J5agqm+ksg+99B+4r/xCIu/ZLkNDQ388MMPFBQU0CIsgGqXZD4PzUBltPCvwvbcNWYmcmUz7CQh2SDlB7BZoNU4cuQVbCOFRoz0IoFWhN/4NgnCHyACFkEQBEG4CqJP+Ws7Rg67OUUkfpSU5vBe0dd0kXz4zGMCqoj+5Ofns2DBAmS6SlrUH6H8+FaQyYjsM5bwHncR3P4ONO7n0g6XlZWxcM4XGPNSCJSK2RxZxqH+ETjrLHzgNo2urUY238XW5kHWegwBbdgVqCGdQtQo6U1LYglsvnYJwlUSAYsgCIIgXAXRp/y1SUhs4BhZFNNJimFt/jqWVK6jo+TN2xH/wscjgby8PBYsWIAkSfgr9ShS12I6c9RegEyG2isEmUoDChWN1aUodBXoXNSsf6ANhTFexFp9+DjhTYKcmjcoMJxeR7KmluMBnhhlFsLwoQ+txD4rwl+OCFgEQRAE4SqIPuWvz4SF5eylknp6SQmsOrOC76s34ImGNyNfoptbB/Lz89m8eTNlZWXo9XrkhlocqrJxqM5G1VAKNgsymxmrWkPB6G5saQONcjPjfEbwfOAjqOSqZrk2PSaKqKLAWkw6hZgVclxxohMxxBLYbDvYC8KfIQIWQRAEQbgKok+5NegwsJy91KNnMO3IzPmZf1cvRSezMsC9O4/63Uu8UzSSJNHY2EhtbS2SJPHLY5NMKeOQ5STf1C0j25hHgMqXF4Inc4d792vWRgkJIxbMZ79MWJv+bT77bxMWdBipQUctOmppbDrfQ2+mvRRBjFNL5MivWbsE4UYTAYsgCIIgXAXRp9w6atCxnL2YsDDM1g4pdTVvmnazQ1YCQFeXtnR3aU9r5zgiNMFUmWsoMVdwqCGZFZUbqLBU4yBT87DfWB72uxtH+R+baiUhocNIFfVUUt/0vZoGLFwih/JvyJHjhhNeuBBkcyM4fQ9uViWyxHvhRmxOKQjXkQhYBEEQBOEqiD7l1lJOLSvZjwUbA/ShRKfuIs1JxVeaEjbU7MJ2iYAhUO3LGK/B3OU1EF+V1x+qu5ZG0iggnULq0Z/3mRMOeOGCFg1qlKjOfqlRnP234uxrJY6o0eKI/JfpXsVHoOgQhPUC77g/1DZBuJk0Q449QRAEQRCEm4MPbtxFF37kID875mKIiKZlThbveo1AF/oUyY3pHNelUWgqxVvpgZ/amwiHYNprW6KQKa66PhsSZyjjOLkUUgmAMxoSCcELV7xwwfNsmPKHWE1QegLULuAV+8fKEISbjAhYBEEQBEG4rXnjymi6spoDbPdspBwfuucfwNktlC4ubeni0vZP12HCzCkKOMEZ6mhEjoxoAogjmBC8z42O/FmlyfagJbgryMS6FeHWIAIWQRAEQRBue244MYaubOQYqZ6V5Dl70a9sByHBQ//UGpBaGkkml1QKMGNBg4r2RNGSsGufXthihLJkcHAFr5hrW7YgNCMRsAiCIAiCIGBfNzKCTpwkj92qk6wOgQjDVjprOuCF6xWXIyFRRBXHySWHUgA80dKGCGIJRMnVTyW7ImVidEW4NYmARRAEQRAE4SwZMloSRojkxp66HZx2NZAj7SJS5kcoPvjjgSfa8/YzkZCoo5ESaiikkkIqqTu7iD4cX1oTTjBe13cPFGO9fe2KGF0RbkEiYBEEQRAEQfgNN4U7Q9S9KEv7kf2BLpx2LeX02dESBXKc0eCMAwAV1GPGcu5cnGhNOK0Iwx3n699YSYK8XWCzQGgPMboi3HJEwCIIgiAIgnAxGnd8/bozPHMTja5+lER1pEReRyX16DBQRQMg4YPr2S83gvBEi+ONbWd1NtTlg2cMuAbf2LoF4QYQAYsgCIIgCMKleESCX2ucSk8QeSaNyPC+N9dGjBYD5O8BpQZCujZ3awThuhBjhoIgCIIgCJcT1AncQqEqy74p481CkuzBisVgX2ivvMZZxwThJiECFkEQBEEQhMuRySGiPzh5Q/FhqMxs7hbZlRy1B1FuoeAZ3dytEYTrRgQsgiAIgiAIv0ehgqhBoHKG3G32QKE5VWZA0SFw9IKIfjfXNDVBuMZEwCIIgiAIgnAl1M4QMxRUTpCzxb6rfHOoK4Dc7aDWQvRgUKibpx2CcIOIgEUQBEEQBOFKOXpA3EjQuEPBXijYD5LtxtVflQ1ZP9tHfKKH2IMoQbjFiYBFEARBEAThaqi10GIEOPtC6XF7AGExXN86JQlKjkHOZlA6QOyd9uBJEG4DImARBEEQBEG4WkqNPWjwamHfA+XUctCVXZ+6zI2QuxUKD4CjJ8SNsicAEITbhNiHRRAEQRAE4Y+QKyG8N2j9IG83pK20Z+sK7AAOrn++fKsZypLtIys2iz0bWEQ/sWZFuO00ywjLk08+SXh4ODKZjJSUlKb3w8PDiYuLIykpiaSkJH744Yemz5YvX0779u1JSkoiPj6e/v37Y7PdwDmjgiAIwl/OpfobgMzMTLp160ZsbCydOnUiNTW1mVop/OV5x0H8XfZd5quy4ORiOLMDdOX2qVxXy1ALBfsgeaE9E5jKGaIG2rOUiWBFuA01ywjL3XffzfTp0+nRo8cFny1dupSWLVue915JSQmPPfYYBw8eJCwsDIAjR44gEyn8BEEQhMu4XH8zZcoUJk+ezMSJE1m6dCmTJk1i7969zdBK4Zbg6GnPIFZfZJ+6VZFm/3L0BI9Ie/phJy978PHr5xebFcw6aKwEXSk0lNq/Azi42UdrfOLte8EIwm2qWQKWXr16XdXxxcXFKJVKvLy8mt5r167dtW6WIAiCcIu5VH9TVlbGkSNH2LBhAwBjxoxh2rRp5ObmEh4efgNbKNxyXAKhxUhorIDKdPuIS9GhXx0gs2f4kqtAsl64WF+uAvcIe5DiEiT2VxEEbsI1LPfffz82m43OnTsza9YsfHx8aNOmDV27diU0NJTevXvTrVs3xo0bR1BQ0EXLmD17NrNnz256XVRURHBw8I26hCYNDQ1otdobXq+o+8bXfTte8+1a9+14zQAmk4mysuu0oLgZ5OfnExgYiFJp7wZlMhmhoaHk5eVdELD8tk8pKSm5pn1Kc/5cm9vtfO3Xm7i318ftfF+v9bVrtVrS0tKu6NibKmDZsWMHoaGhmM1mZsyYwYQJE1i7di1yuZxly5aRlpbG9u3bWbduHW+88QaHDh0iOjr6gnKeffZZnn322abXwcHBFBQU3MhLadZ6Rd3iZy3qvvXqvRnqvtX8dlqxdIm1Br/tU6615vy5Nrfb+dqvN3Fvr4/b+b4257XfVBMiQ0NDAVCpVDz99NPs3LnzvM/j4uKYMmUKK1eupEuXLqxevbo5mikIgiDcpObNm9eUuGXOnDmXPC4kJISCggIsFgtgD1by8/Ob+iFBEATh5nHTBCw6nY6ampqm14sWLaJt27YAFBYWsnv37qbPqqurycnJISoq6oa3UxAEQbh5Pfjggxw7doxjx47x0EMPXfI4X19f2rZty4IFCwBYtmwZ4eHhYv2KIAjCTahZpoRNnTqVVatWUVJSwh133IFWq2XDhg2MGTMGq9WKJElERkYyb948ACwWC6+//jo5OTk4OTlhsViYMGECI0eOvKL6rudQ/s1Yr6j79qlX1H371Hs71/1nXKy/ycrKAuCLL75g4sSJzJw5E1dXV+bOndssbfyr3ttr4Xa+9utN3Nvr43a+r8157TLpUpN2BUEQBEEQBEEQmtlNMyVMEARBEARBEATht0TAIgiCIAiCIAjCTeuWCFjCw8NJSUlp7mbcNurr69FqtTzyyCPN3ZTbzpX8rk+cOJFPPvnkBrXo1mMymXjhhReIjo4mPj6eli1bXjbbFEBNTQ1vv/32DWqh8FdiNBqZNm0aMTExJCYmMn78eAAyMzPp1q0bsbGxdOrUidTU1KZzli9fTvv27UlKSiI+Pp7+/ftjs9ma6xL+lIEDB9K6dWuSkpLo2bMnx44dA26f678RwsPDiYuLa8qOl5SUdN79FK7MH/ld/eXe/5JtEKDD/7N31+FRXXkDx78jcXcXEiJECE7QBLdCC9QoUurdttuyW3t3oSXtUu9SgXaBChpaWqxIkOAaKJpAcBKIh7jLZO77x5QJw0xCgiZwPs+Th8w55545d7i5c3/3yO3ShR07dtzt5t+SmzlP3fV9l+4DPj4+UlJS0r1uxgNj3rx5Up8+fSRbW1uptLS02durVKo70KoHQ1OO9aefflqaNWvWXWrR/WfcuHHSmDFjpLKyMkmSJCklJUUKDg6W5s6d2+A2KSkpkoODw91qotCKTJkyRfr73/8uqdVqSZIkKTMzU5IkSerXr580f/58SZIk6ffff5ciIyMlSZKkrKwsycnJSUpNTdXWcfjwYe32rU1hYaH291WrVkkdO3aUJOnB2f+7QVwD3R7NPVYlSfPZ+/r6SnPmzNGmde7cWdq+fftdafPt0tzzlG2dN4wAACAASURBVCTd/X2/rwKW//73v1KXLl2kDh06SF27dpUSEhK0ZQDp008/lbp16yb5+vpKP//88z1scevWvXt3ad26ddLIkSOln376SZIkSZo/f740cOBAacyYMVJERITUt29f6dKlS9q8IUOGSBMnTpQ6d+4s7du37142v1W7eqxHRUVJa9eu1aaPHTtWe1IRAcvNO3funGRmZibl5eXppK9fv17y9PSUJEmSfv75ZykiIkJq37691LlzZyklJUUaMmSIpFAopIiICKlz5873oulCC1RWVibZ2Njo3djJycmRbGxspNraWkmSJEmtVksuLi5SSkqKdOTIEcnNze2mbga1dAsWLJA6d+78wO7/ndJQwLJixQopKChIioyMlD788EMJEJ9rEzXlWJUkzWe/cOFCycPDQyovL5ckqfUFLDdznpKku7/vLepJ97dq4sSJ2iXXEhISeO6553SGz5iamnLgwAFOnTpFt27dmDhxIkrlffUR3HEnT54kLS2NoUOHolKp+Pzzz3n22WcB2LNnD8eOHSMoKIjPP/+cl19+mbi4OG3e0aNHCQgIuJfNF4RGHTlyhICAABwcHHTSe/ToQXp6Or///jsfffQRu3fvxs3NjYqKCgDmzJlDly5dtEMIBAHgwoULODg4MGPGDLZs2YKZmRkxMTHY2tri7u6u/f6RyWR4e3tz+fJlevfuTY8ePfD29iYqKoqePXvy1FNP4eHhcY/35uZNmjSJ7du3A7Bx40bS0tIeqP2/Gx599FFMTU21rzdv3swLL7zAvn37tN/Jwo0151i9+symTp060bdvX7766iumTp16r5p+027mPHUv9v2+mMNy1dGjR4mKiiIsLIyXX36Z5ORkampqtPnjx48HoF27diiVSrKzs+9VU1utn376iUmTJqFQKBgxYgQXL17k1KlTAPTu3ZugoCAAXnzxRbZv347016rZvXv3FsGK0CrIZLIG8+Li4pg0aRJubm4AmJubY25ufreaJrQytbW1XLx4kZCQEA4dOsTs2bN58sknUalUesfZ1XOlXC5nxYoV7Nu3j6FDh7J3715CQ0O1z45pjRYtWkRaWhozZszg7bffBvT/zu7n/b8bli9frn1g6rFjx0hISKBTp04638nCjTXnWL3WjBkz+Prrr8nPz78r7bydbuY8da27te/3TcCiVqsZO3YsM2fO5MSJE+zatQtJknQClmvvPigUCp2JQsKN1dbWsmTJEhYtWoSvry9t27aloqKCn3/++YbbWlpa3oUWPjiUSiV1dXXa11VVVfewNfePjh07cvbsWb0T7/79+/H09MTR0fEetUxojXx8fJDL5dqbZREREbRp04ZLly6Rnp6u/Q6SJIm0tDS8vb212wYHB/PSSy+xevVqIiMjWbNmzT3Zh9vp6aefZvv27Xh6ej6Q+383GbqwFJquOccqgJ+fH+PGjWPGjBn3orm35FbOU3D39v2+CVhAc0Ht5eUFwKxZs+5xa+4/f/zxB35+fmRkZJCamkpqaip79+5l0aJF1NbWsnfvXs6ePQvAjz/+SP/+/Ru9Wy3cPH9/fw4cOABASkoKe/bsucctuj8EBAQwcuRIXnzxRe1wr9TUVN58802mTp3KyJEjWbRokbZ3tqKigoqKCqytramoqBA3QQQdjo6ODBgwgE2bNgFw6dIlUlJS6NOnDx07dmTJkiUArFixAl9fX3x9fcnIyGDv3r3aOgoLC0lJScHf3/+e7MOtKCkpITMzU/t61apVODg44Ozs/EDs/73Uo0cPjh49qvOdLDTsZo7V67333nssWbJEp57W4GbOU9e7G/t+X0zgUKlUmJub8+GHH9KtWze8vb0ZNWrUvW7Wfeenn37SRuBXhYWF4e7uTmlpKVFRUcTExJCcnIyNjQ2LFi26Ry29f6lUKkxNTXn33Xd54okn2LRpE0FBQXTv3v1eN+2+sWjRIqZNm0Z4eDjGxsYoFArefPNN7TLe06ZNY/DgwchkMoyNjVm+fDk+Pj6MHz+e8PBwLCwsOHTo0D3eC6GlmDNnDs8++yzvvvsuCoWCefPm4ebmxty5c5k8eTIff/wx1tbWLFy4END8jX/44YekpKRgbm6OSqXi6aef5uGHH77He9J8xcXFjB07lsrKSuRyOU5OTqxbtw6ZTPZA7P/ddP0cllmzZjFv3jxGjhyJg4MDjz766D1sXct3M8fq9ZycnHj99dd5//3373Lrb11zz1PXuxv7LpNaeb9hVlYWwcHBZGdnY2Zmdq+b88BasGAB69atY/ny5fe6KfctcawLgiAIN0smk2mfoyYIrU2rHhI2c+ZMoqOj+fLLL8UFnHBfE8e6IAiCIAgPqlbfwyIIgiAIgiAIwv2rVfewCIIgCIIgCIJwfxMBiyAIgiAIgiAILZYIWARBEARBEARBaLFEwCIIgiAIgiAIQoslAhZBaKWio6OZNm3avW6GIAiCIAjCHSUCFkFo4VQqFTKZjB07dtzrpgiCIAiCINx1ImARBEEQBEEQBKHFEgGLIDRTdHQ0b7/9Ni+88AJWVlb4+voSFxdHeno6AwcOxMLCgl69enHp0iVA00Pyzjvv4OzsjJmZGYMGDeLcuXPa+mJiYujduzezZ8/Gzc0NR0dH3nnnHa4+Iqlt27YA9OvXD5lMxuTJk7Xb1tTU8NJLL2nb8euvv969D0IQBEEQBOEuEAGLINyEefPmERYWxpEjRxgxYgQTJ07k+eefZ8qUKRw+fBhJkvjnP/8JwOeff87ChQuZP38+f/75J2ZmZowaNYq6ujptfYmJifz5559s27aNH3/8ka+//pp169YBkJCQAMCKFSvIysrim2++0W43d+5cgoODOXr0KJMnT+aZZ54hNzf3Ln4SgiAIgiAId5Z40r0gNFN0dDTm5ubExcUBkJ2djZubG1988QVvvfUWAL/++iuvvvoq+fn5uLq68v777/PKK68AUFBQgKenJ7///jsjRowgJiaGb7/9lszMTExNTQEYMmQI4eHhfPnll6hUKoyMjNi+fTvR0dENtkOlUmFjY8OyZct46KGH7uInIgiCIAiCcOeIHhZBuAnh4eHa311cXAAIDQ3VSSsoKKC4uJicnBwiIyO1efb29gQFBXHmzBltWkBAgDZYAXB1dW1ST8m17VAqlTg6OooeFkEQBEEQ7isiYBGEm2BkZKT9XSaTNZh2M/Vd3V6tVt+x7QRBEARBEFoLEbAIwh1kYWGBi4uLdh4KaIaEnTlzhuDg4CbVoVAokMvlOnNeBEEQBEEQHhQiYBGEO+yNN97ggw8+IC4ujpMnTzJ58mR8fHwYMmRIk7aXyWR4eXmxbds2cnNzKSsru8MtFgRBEARBaDlEwCIId9jbb7/N008/zeTJk+nSpQsVFRWsWbMGhULR5Do+//xzYmNjcXNz47XXXruDrRUEQRAEQWhZxCphgiAIgiAIgiC0WKKHRRAEQRAEQRCEFksELIIgCIIgCIIgtFgiYBEEQRAEQRAEocUSAYsgCIIgCIIgCC2WCFgEQRAEQRAEQWixRMAiCIIgCIIgCEKLJQIWQRAEQRAEQRBaLBGwCIIgCIIgCILQYomARRAEQRAEQRCEFksELIIgCIIgCIIgtFgiYBEEQRAEQRAEocUSAYsgCIIgCIIgCC2WCFgEQRAEQRAEQWixRMAiCIIgCIIgCEKLJQIWQRAEQRAEQRBaLBGwCIIgCIIgCILQYomARRAEQRAEQRCEFksELIIgCIIgCIIgtFjKe90A4RacXQ+lGeAbDQ6BunlJS6GmDJxCwLu3bp6khuOLoa4a3DqBexdNeuFFKDgP5VdAVQUmVpp6ncNBrmi8LWXZcOUUVFyBqiKwdIOgkbdtV4XmKdycQua3hyk5kEldcTVGTubYDvDB481uWEY465Q9FDiPynOFtN/1FDZ9vPTq2i37DIA2n0fj+XZ3nbya3HIOenyPpFITOH84LpPDAchZkMTZZ+L06nIYG0jI8tHa12cmryd34QkcHg4gZPUYnbKXYvaQ9mkCvaveurkPQdBxaH4MRxZ+YDAvaPhzRL3zIwBqlYrT63/k3OZFFKSepK6mCisXH9r0HUvY2Dcwd3AFYOkTvnh1G0qfN+fo1Rf39lDqaqoY+c0Ovbwjiz/i0E/TCBr+LFHv/KSXv+OTyZzdtBA731AeW3BCL3/jv0dxed9a3CKi9Oq/cvoQf/40jZyT+5DUamy9g+nx2le4te/T4OeSdnATx2I/ofBSMjXlxZjbu+LZZTCdJ8dg4eTR4Hb3my+//JKZM2dia2vLsWPHMDY21smfNm0aP//8M56enhw8eLDJ9W7YsIGsrCyeffZZnfQpU6Zw+PBhdu/erbfNrFmz+OSTT8jMzAQgLS2N7t015565c+cycqTud0tiYiJDhw4FYPny5fTs2fOG7crKymL27Nls376drKwsjIyMCAkJYdKkSYwaNYonnniC/fv3N1rH1c+isX25H+zfFsOB7R9gYmbHi+9ko1DqHhs71r/OsYRZWNn68NybqRQXpjJ/ZhttvkJpgrVtGwLDHqNLn//DyNhcZ/vamgrmfeaCqraCZ9+8hJWNp14bCq6cJmFbDFlp+6goy8HU3AEH5zBCOj1DcPtxd2bHhRZFBCytVW0FlGpO5uSf0w9YAORGmiDEqyfIrulMK74MahUg0y2fkwjGluDZHYzMoSwHMg9DZQG06d94e0oyoDwHzJ00AZFwz1z6YA+XY/ZiP7ItbWcPwtjNkuqMUvJ+O83RjvPpo35XW7bkQCaV5woByF180mDAAqCwNCY3NlkvYLny6ynkZkrqSmsMbhe6/lGU9qba10YOZgbL5f9xjrIj2Vh2cm3WvgrNIzcyZuTXO/XSzew0QWxdbQ2b/j2SzKPbCX7oRTpOmIrSzJKiS6c4vf4HcpITGPn19ltqw/ktsQBc3LmcXm98h9LEVK+MkZklhaknyTt3DMeADtr0quJ80g9uxMjcSm+bzGM72fD2EHx6P8KA939FrjQi79xRVFUVjbanurQA55DuhI19HRNrB0rSz3F40YdkHN3GY/NPoDQxfMzejxQKBVVVVWzdupVhw4Zp01UqFWvWrMHS0rLZdW7atInDhw/rBSw3w8LCgpUrV+oFLCtXrsTS0pKysrIm1ZOYmMi4ceOwtLTkhRdeoF27dtTU1LB//36mTp2KSqXik08+obS0VLvNv/71L0xMTIiJidGmXR/U3c9kcgWq2kpSzsbRNuQRbbq6TsXZpGUYm+j/TfYY8B+8/Qeiqq3k0vnNHNz5EUUFFxj2WKxOuQunVlFbo/m/O5O4lC593tHJL8o/z69zu2HvHEqvwZ9hYeVGadFl0i5u5dK5jSJgeUCIgKW1KjgPSGDtBSXpmgDGSPeuBTZeUJSqybfx1t3W1geKLumW9x8CRtd8OVu5a94j8xB4RurXfy23TuDeWfP7uThQ193Czgk3q3BzCpdj9uL5djfafN5PJ895XAj5a8/rpOUuOYnMWIF1b0/yfj+N/6yByE30TwsOowPIXXyS8pNXsAh10qZfiU3GYXQguYv074QDWHZywdi18YscUz9bkCQuxewldM3Ypu5qs9RV1qIwM7ojdbcmMmS4hEY2mH94QQzph+IZ+vFavHuM0Ka7d4ii3aiXuLx//S29/5Uzhym6dAqvbkNJO7iRS/vW4N/vcb1y5o4eGFtYc35LrE7AcnHHb5jaOGLXJgx1bX2QrK6rY+fnz+LT+2EGTv9Vm+7ZZdAN29R2wDjaDqi/4HHvEIWlizdxbw8h6/guvLoNudndbXWUSiWDBg1i1apVOgHLrl27KC0tZciQIRw5cuSetW/YsGGsWbOGoqIibG1tAVCr1fzxxx8MGzaM33///YZ1VFdX88ILL2Bvb8/atWu19QD069eP559/nqysLAIDdW8CWllZYWJiQufOnW/vTrUScrkSv6CRnEmM1QlYLl2Ip7q6GP/gR8hKT9DZxta+LW5emvONl18/KspzSD4yn+gR32Jm7qAtd+r4Eiys3DEzd+D08SV6AcuJwz8hSRJjJ2/ByNhCmx7ScRKSWtwgfVCIOSytVf45MHMAj66A9FcAcx2FiSZQyT9Xn1ZXowlU7NvqlzcycCfR3FHzb23jdymRyRrPF+6K9C8OYORsjs+MvgbzHUbW/79LKjV5y05jP8wP99c6oSqqpmD9BYPbmYc4YtHBmSuxydq0ynMFlB7Mwnl8yC21WWYkx2taTwrWnqf0UFajZVVFVZx7eRMJLrPYY/olRyJ+JvfXZJ0yl2L2sMf0S8qO5nC8Tyx7zf5L+mcHbqmNDwJVdRUnV83Gt9fDOsHKVTKZDJ+eD93Se5zbvBiZQknfd37C1MaRc/FLGizbduB4Lmz9ReeC5Fz8Evz7P4lMpvvVlXF4C6WZFwkb8/otte8qE2vNxZRc8eDd0xs9ejRbtmzR6V1YsWIF/fv3x8bGRqdsaWkp06ZNo3Pnzvj6+tKvXz/WrFmjzZ8yZQq//fYbFy5cwN3dHXd3d6ZMmXLTbYuKisLKyop169Zp03bv3k1BQYFer0tD1q9fT1paGlOnTtUJVq5ydnYmIiLiptt4PwuOGM/FM+uorirRpp0+vgTfgOGYmOl/ltdz+Wv4eXHBRW1aeVkOly/EE9R+HMEdJpKXk8SV7ESd7aoqCzA2sdYJVq6SycVl7INC/E+3RpUFUJmvCTrMHcHUTjcouZZ9Wyi+BHW1mteFKSBX6va4NKYsWzOczMT69rRduGMklZqSPRnYDvRFbnyDOUdAwcaL1F6pwGl8CPYj/FHamZK7+GSD5Z0nhJK7NBlJkgDIjU3GPMwRi/ZODW5zpMMCdis+56D396T83w7UVSqD5VwmhWHqb8vlmL0N71+dmhPDfydv2Sm8p/ciZPUYLDq4cGbcWnKu6+GRVGpOPf4Hjo8HE7rhMRxGGQjQH1BqlUrvR5Ik8s4coraiFK/I4U2uS0IyWB9I+u9bV8eFbb/i2XUwFo7u+PV7nPSDG6kqyjNYt3//J6koyCbruGYIW0lWCjkn9hEwaIJe2ZyTmrkGtRWlrHi+Iz/0V7L0CR8Sf5vZ5H1R19VRV1NNYWoyB+a8jWNgJ9wiopq8/f1iwIABmJmZsX69pjetoqKCTZs2MXasbu9nbW0t48aNIy4ujilTprBw4UIiIyP529/+xo4dOwBNwDJgwAA8PT1Zu3Yta9euvaWARaFQMGrUKFauXKlNW7VqFdHR0djZ2TWpjr1796JQKIiKevD+b2+Vb+BwjIzMOZ+8AoDamnIunv6DdhH6f5OGlBSmAGBpXT837EziL0jqOoLbjye4/VPIZHJOH1uss52rR1fKSzPZvOpZcjIOoxYjOB5ID97to/tB/jlABvb+mtf2bSHzT00gY2avW9bGRxNwFKWCQ4CmJ8bOT3dOS0MqCyH3BDi2A8WDM1a3tarNr0RdpcLEu2nBZe6SkyisjXEY2Ra5sQLHx4LIWXCC2sIqjOz05xU4jWtHyjs7KNmbgU1vT3Jjk3F9vr3Buo3dLPCO6YVVNzdkRgqKtl4iY+aflCddIWz9Y3rlZUo53u/15OzkOEoPZmLVzV2vTEHcRUr3ZxKyegwODwcAYD/Uj5rsMi5N24XLpLD6wnUSPtN74TwhtEmfxYOirraaHwfqD42Lene+dq6GpXMTb2YAp9fO4/TaeQbzrr/YzzgUT2VhDgEDxwMQMGgCyau/58L2ZYSOflVve3N7Fzw6D+RcfCzuHftxPj4WW+9gHAM76ZWtLMgGYNtH42n/xFv0eHUmqXvXkPD9mxhb2hI8/MbzJ36fHEpx2hkAHAM7M/ST9ciVD95XpJGREQ899BArV67kySefZMOGDSiVSgYMGMDOnfXzn1auXMmxY8fYuHEjYWGav72oqCiys7P58ssviY6OxtfXFwcHh9s6lGrMmDGMGjWK9PR0HBwciIuL44svvmjy9tnZ2Tg4OGBm9uDMTbpdFAojAsIe4/TxWEI7PcP55FXI5Ep8g0Zw6cJmvfKSpEZdp0KlquTyhS0k/jkHd+9eWFrXn99PH1+CvVM7nN07AuDZJpozSb/Qe/Bn2t6TkE7PkJ66k+Qj80k+Mh8jYws8fKNoFzGRoPZP3p2dF+65B+9s3NpJfw3/snLTTJAHTSCS+acm3aObbnm5AmzbaPKsPTQT9d2b8MWhqoILmzU9K9fXKbRMf/V8NGV0nqq0moI153F6sh1yU81pwHlCKNnzjpP322ncXuqgt42JuxU20d7kxp5EZiSn6kIhTuMMDwezG+KH3RC/+tcDfTF2t+Ti61so2Z+BdQ/91ZecJ4SS9nECl6bvIWyD/ryGkt1pyM2NsL+ut8R5XAhnn4mjKqUI0zb1wxLsH/K/8QfxgJEbGfPwLP1eLCu3NqQfigc0Q7+ayrfvGDo+9S+99H2z9IdmnYtfjNLUAt/emvHvLqE9sHb351z8EoMBC0DbQePZ9+3r9J7yHee3xNL2r2DnetJfd1yDhj9Hx/Ga9rh37EdJ5gWOxX7SpIBl0IcrqK0opTjtDEdjP2H9mwN4ePY+jC1tbrjt/WbMmDGMHTuW7OxsVq5cyYgRIzAxMdEps3PnTgIDAwkODkalqu857du3LzExMdTV1aFQ3Lint7k6d+6Mj48Pq1evxstLs0jI4MGDSU7WHRqqVqtRXzOcUC6XI5fLkSSpWce4oCu4/XiW/xxNWUkmpxNjCQh9FKXSxGDZjcvHs3F5/d+sb8Aw+o+qX1Ww4MppcjMP03PgR/X1R0wgftWzpKVsx9t/AAByuYKhjy6mW9RULp5ZS+alvaSnbCP1bBxpF7cy8JEf7tDeCi2JCFham7IsqC0Hl/agqtakyY3AwlnT8+LeVf+K1SFAswRyTpImyLFwafw96mrh3AaQ6qDtQ6AQk5VbAyNHc+SmSqoul9ywbN7yM6grVdg/5I+qqAoA8zAnjD2tyF18wmDAAuA8IYSUt3eABDZ9vTD1tqYmu2kr8zg9EczF17dQeijbYMAiU8jxfr8nZyasoyQhQy+/tqAKI2dzvYsNI1cLbb7pXytpyowVKG31e4kedDJkOAV3MZhn6aRZSrQs53KT6zOzcTJYn5G5NXU1VdrXtZXlpO75A69uQ6mrraHurwnzvn1Gk7jsS4rTz2PjqT9sr03v0eyZ+TKHF31I0eXTtB1kOGAxsdb0LHt01F3N0KNjf9IS1qOqrjK4Gtm17NtoeuNcQiNx7zSAX5705dS6eUQ8+Xaj292PunXrhru7Oz/++CO7d+/m119/1SuTn5/P6dOn8fY23COXk5ODu7t+T+lVCoVCJ6C4llqtbjTYGT16NKtWrcLDw4Phw4cb7C2ZOXMmM2fWDwl8/PHH+frrr3Fzc2PPnj1UVVVhairOEc3l7tMbSxsvju7/hrQLWxg9Ob7Bsj0HfoRP28EolKZY2/pibKK7AMupv4Z++QYOp6qyCABv/4EolCacOr5YG7BcZe8UjL1TMPR+m+qqYtb9MpYTh3+kY89/4OB8a3MphZZPBCytzdW5Kun7NT/XK8v6a3Wva1i6aVb4ykkE14jGb8Gr6zQ9KzWlEDQKDExyE1ommVKOdR9PirZcQl1bh9yo4S/83CWau5Gnxq7Wy6vJKNXrrbjKcWwQF16JJ/uH47SdM7iZDZRd+49BTuNCuDxjH5em79ELaozsTanNKde7Q1qbXa7Nr3+v5jVNAMegLhiZW3H5QBzBDz1/W+tO2b0SVVU5KbtWkLJrhV7+ufgldHkmRi/dyNwSn14Pc3zpp7iE9cTarY1eGQA7X8ND/yQkJLUadV0t0PSLU0tnT8ztXSnJMLwIxf1OJpMxevRovvvuO1xcXIiM1F9Zzs7OjqCgIL7++muDdTg6Ojb6Hg4ODly5csVgj0d2dnaj248ZM4avvvqKM2fOEBsba7DMhAkTGDSofpU4e3tNUNurVy9++eUXdu7cyZAhD84KcLeLTCYjuP1THNr9GRZW7nj6GF7gBcDGzg8XD8M3SCRJ4kziUgCWft9RL/9C8kpUI/+H0tBiQICJqQ0R3V4h7eJWCq6cEgHLA0AELK2JWqV5roq1lybwuJakhvObNAHN9QGLTAauHaAkzfDzWq6tI2UrlOdC4AgwvfGqH0LL4vlWN04M+Y1L7++hzSf6k0rz153HsqMLxTsu4zI5DOenw3XyVQWVnBq7mtzYZLyn6T98TWltguc73Sg7koPjo8HNatuVpZogybKrW4NlZHIZ3tN7cWbcWr1529Z9vEj/4iAFa85r57AAXFl2ChMvK4MBltB0ShNTQke/xrGln5J2YCNe3Yfq5EuSRFpCnMEVxG7k3ObFmNm7MuC9X/TyDsx9h/NbYg0GLAAho16mtryEwKGTG6zfs+sQ5EojMg5v0Wl35uGt2HgGYGzguS2NKcm4QHl+JtYeD+6wwscee4xTp07Rv39/5AZWYoqKiiI+Ph5HR0c8PBp+wKaRkRHV1dV66T169GD27Nns2rVLZwJ8TU0N27ZtMxgkXeXv78/EiRMpLCykd+/eBsu4urri6qr/XKcRI0bw2Wef8fHHHxMZGam38tmVK1fIzMwUK4U1ol2Hp8nLTsQ3cPhNr9KVcWk3JUWpdIuaipf/QJ28/Jwkdqx/nQun/iCo/ZOUl2ZjYaX/f1mYfxYAC0vx/K4HgQhYWpOiS6CuBedQ/aAEwK4NFKWAupd+nnOo5qcxl/dqJue7d9HMhyjLqc8zsa5f9jjzEGQdgbBxcPVhUbWVmt6dq79Lak1wBX/18IgJjneD3eA2eE/vxeUP9lJ5Kh+n8SEYu1pQk1lG3vIz5K04g++n0aCW8Hirm84zVa6y7ulB7pKTBgMWAJ8PGn5q+FVJg5dh298H8zBH5EZyCrdcIvObQzg8HIB194aHiQA4Pd6OtBn7KYpPRWZS30tkP9wPqx7unJ28Hp+PozDzs+HKr6co3JhC4MLmX0Q/iCQkck4m6KUbW1hj5xtC58kxpEg/EwAAIABJREFU5J09zKZpD9Nu5Et4dRuK0tSC4rQznF7/I0pTi2YHLBX52WQe2Ub4Y//AvWO0Xn7wQy+w+8sXyTm5H5fQHnr5bhF9cYto+C4uaCboh415nRMrv8XY0hbnkO5c2reWywnrif73Im25zKM7WPePfkS9O5+gYZMB2DxtNI6BnbH3b//XAyuTSVz2JRZOngQNf65Z+3o/adu2LYsWLWowf+zYsSxdupRHH32Ul156iYCAAMrKyjhz5gxpaWnaifABAQEsXbqU5cuXExAQgL29PV5eXkRFRdGjRw9efvll3njjDUJDQ8nPz+enn34iLy+PN954o9H2ffbZZze1XyYmJvzwww+MGzeOIUOG8PzzzxMSEkJNTQ0HDx5kwYIFxMTENDtgKS8v11lu+aoOHTrg6an/5PbWzN4piIcn6u9rc5w+vgSF0pROvd7C9LolkT18+vDnrk85dXwxQe2fJGF7DHnZiQS1H4eDcxhqdS0Zqbs5vPcLXL0icfPSP28I9x8RsLQmBedAaQbWDZz8HAI1k+uLmz4GXUdJmubfzEPAId08nyhwDGp426pCuLhFN+3q68CHRMByF/nE9Ma6hzsZ3x7m/N82U1dcjZGzOTZRXkTsm8C5Fzdh2cXVYLAC4PJMOOde2Ejpn1lYNdIb0hjzEAdy5idRnVGKVKvG1M8G7/d74flO9xtue7WX5fTjf+imK+SExT1Gyrs7uDx9D6riasyC7AlaOhLnBib/C7rUtTX88aqhoCCKkd/sQGFkzNBP1nN6/Q+c3bSIsxvmU6eqwcrFB6/uw2n/xJvNfs/zW5ciqesa7CHx7/cE+2dP4Vz8EoMBS1N1e+kzjCysObVuHkcWfYiNZwDR/15E4OCJjW7nHBLJhe3LOL7sC6Q6FZbO3rSJGkuHce9iam3f6LYPMmNjY5YtW8ZXX33FnDlzyMrKwsbGhuDgYJ58sn7lpnHjxnH06FGmT59OYWGhdi6JXC5n8eLFfPnll8yfP5+srCwsLCzo1q0bq1evJji4eT24zdG+fXvi4+P57rvv+PHHH8nOzsbY2JiQkBD+9a9/MXr06GbXmZ2dzYsvvqiX/tVXX/HEE0/cjmbfN+pUNZw7uRz/do/oBSugmWTfrsNEjuz9LxVlubTrMImTR37m+IHvKCvJQF1Xg5WtDx0iX6db1DTxLJYHhEy6+lAFQRAEQRAEQRCEFkaEpYIgCIIgCIIgtFgiYBEEQRAEQRAEocUSAYsgCIIgCIIgCC2WCFgEQRAEQRAEQWixRMAiCIIgCIIgCEKLJQIWQRAEQRAEQRBaLBGwCIIgCIIgCILQYomARRAEQRAEQRCEFks86b4Vu3DhAgcOHCAjI4OqqiosLCxo06YNPXr0wNXVVafsrFmzKCgoYPLkyfj4+OjV9cEHHwAwcOBAevXqpZNXXl7OzJkzUavVPPzww3To0AGAxMRE/vzzT/Lz86mpqcHa2prg4GD69u2LqanpHdproSk2J1zg218PcOBEBsVlVTjZWTCgaxvenNCDiEBXJsesZuG64zwcFcTq/z6ps23M3B18unAPVfumadNkXT7Q/i6Xy3C0NWdA1zZ89veBeLnaaPNSM4toM+obAH779FEeGxiqU/eR01l0njAPgO1znia6i2+T9id2QyIT3ltF/65t2Pq/SXr5MXN38MEPO7GzNiV701sYGyl08l//YgOzlh3Ex82G1LVTtOm+I7/mUlaxXn1Jv/6NsLbOTWpba5RZso3k3G+5Up5AlSofY4U19uYRBDg8Sxu7x1HIjTmSGUNS9qc83alKu11FTSZHsz4goySeytpMjBQ22JgG4Ws7llCXN7TliqvOciRzOrlle6lS5WKstMfONJQAh8n4O4xvtG27UidzPn8htqahjAk9oZcff34UacVrcbWMYnjQjlv+LCpqs/k10Y0+PvMJcJzc5O1Kq1P5/UQbotv8gp+95m8o7kw02WU7DZbv67uYtg4TqKjN4mTON2SWbKak+jxKuTmOFl3p5D4DB/OIW96fmxWzcg4frJqHnYU12bPjMVYa6eS/vuhzZsX/io+jG6lfrW9yvasPbSe9MIfXBumeZybPnU7ChSROf75Sb5tP187nX7/NQlp8BIDUK5m0+edDAPz22mc81n2QTvkjqafo/J7muNr+73lEt+vSYHuuret6CrkC1cI/AViwaw3P/BCDm60jF/67BjPj+u+0HacO0e/jF9k/fQFVtTX0+1j/CffXm/9CDJP7jrphuRYtKx5Ofwf5B6G2GEycwLUftJsCdtcdu2tCoPQ8DNoGzr3164o1hg4zIPQd/bwVXlCV03hb3AZD/3WwsbemPYb0+QW8x9a/rsqDU/+F9HVQfglkCrAJAf9nwG8iKEyg+DSsaw99fwevh5vXbuGOEgFLK7Vjxw527txJYGAgw4YNw8rKipKSEpKTk5k7dy7Tp0/Xlk1PT6egoADQBBmGAhYAY2NjkpKS9AKWEydOoFQqqamp0UmvrKzE39+fXr16YWpqSk5ODjt27CAtLY3nnnvuNu+x0FQfzNtBzLydjOwTyOx3huHmaEVGbgm/bUmm4/i5qP+sPzb+2HmGI6ez6BTsdsN6X3msCxOHR1BTW8efyRnEzNvJ6dQ8Dix8HiOlboBgaW5M7IYkvYBlSVwiVhbGlJbrHks3smRDEgA7DqeSnlOCp4u1XhmFQkZltYq4ved4JDpYm65SqVkWfxIrC2ODdY/uF8w7k3SPeX9Pu2a1rzU5mvkhR7Om42XzEN28ZmJh5El1XQEZJZvZe+lFKmozaO/6rt521aoi1p7ujlJhSQe3aViZ+FFZm01O2R4uF/+hDVhKqi+y5lRXbEyD6eL5KeZG7pTXpJFVuo30kg03DFgAlHJLiqpOkl9xDAfzDtr0KlU+GSUbMZJb3b4P5DZzsoiku+dXeunWpm0ByCs/TGrh7wQ6PoeTRXdq1WUkZX/ButM9GNnuAPZm4Xe7yVoKuYLKmmriju3hkS79tOmqOhXLDmzGytSi2XWuPryDhAtJegHLzbA0NSd23wa9gGXJ3jisTC0orSpvcl3/GfsKA8O66aTJkOmVyyrKY87W5fxj2ASD9XTyDWb/9AXa10dST/Pqwk/58bn3CfX006b7O3s1uW0tUuJ/IOk/4DECunwNZm5QmQGXlkNcNxhfXV8276AmWAFIiTUcsDSm3xpQX/Mdsf1hcBsAwa/XpxnV3yjDuQ90/Fi/HquA+t9LzsHWoZp6g18Hhy4g1UFeAiR+ADWFEPp289op3FUiYGmFLly4wM6dO+nZsyeDBumeuMPDwzlz5oxOWmJiIgqFAm9vb5KTkxk2bBhKpf5/fXBwMImJieTm5uLsXH93OSkpiXbt2nH8+HGd8t27d9d57evri1KpZN26deTl5eHo6Hiruyo00+aEC8TM28nbE3vy+Ru6x8a4oeGs3VV/bPh52CEhETN3B2u+GnfDur1cbIgM9wSgbycfamrr+Pd32zh8KkubftXo6GCWxZ+ksKQSO2szANRqiV83n2B0dDsWrT+uV39DcvLL2HLgIkN7tmXjvvMs3ZjEO0/30iunVMgZ2SeQ2A1JOgFL/IELFJdV8UhUMAkn0vW2c7az0Gv//SqjZDNHs6YT4TqVzh4zdPJ8bB+hvcu7FFYlG9z2UtEKymvTeTToPNYm/tp0P/snkSS19vW5vPmopVqGBW7FSGGpTW/rMFGnXGMsjDwwUlhzoSBWJ2BJKfwNE6UjdqZhqKXmBb13i7HCBmfLyAbzXSx7MzbsDHJZ/TnY3ao/y5J8OJ37PT19/nc3mmmQUqFgZMe+xO7boBOwxJ84QHFlGY90iibhQtI9a9/ozv1YdmAzheUl2Floblqo1Wp+TdjE6C79WLRnXZPrauviRWTb9jcsNzC0O5+tX8hL/cdibmKml29tZqlTT1Wt5rgM9fRrUv2tQla8Jlhp90/o9Klunu+Tmh6La6UsBbkxOPWCyys0AY7CpOnvZ99R97XcCExdwbG74fLGtg3nAUgS7J0AkgqGJYC5R32e20AIeg2K9HtzhZZFzGFphfbt24eFhQX9+/c3mB8UFKT9Xa1Wc/LkSdq2bUvXrl2pqqri3LlzBrdzcnLC1dWVpKT6L6T8/HwyMjIID2/aXT8zM80JXS4Xh9a98MWifTjbWzDjFcPHxsi+9ceGkVLOtGf7snb3WQ4lZzb7vToEaoYdXsoq0ssbHOmPjaUJv2+pv/jdevAieUUVPD4opFnv88umE6jq1Hzy6gDaB7iwZENig2XHDw1n3Z6zlJTV3+1bsiGJ4b0CsLUSwxSTsr/ATOlKR/cYg/mWJj542QwzmFetKgBkmCld9PJksvq/9+q6AowUVijl+nfjry13I/7247lY8ItOkHMhfwl+dk8arKewMpn48w+x+Kg1i45asOHsQPLKD+uVS8z+jF8TPVh4xJxN54ZSVp1q8P0v5MeyOrkjC4+YsvS4C/sv/x2VurLJ7W+IidJWJ1gBMFJYYW0SQEVt8/8Ob7fxPYex7thuSirLtGlL9sYxPKIXtha6PVsllWW8vuhzPF8fiskz3Qn7v8f47cBmbf7kudNZuGctZ7JSkU3shGxiJybPnc7NGhweiY2ZJb8fiNembT15kLzSIh6/rtfldnl/9AvklRbxv63L70j9rULyTDB1hogPDed7XjPETq2CS7+D+xAI+hvUFEFG3N1pZ0NytkPBUQifphusXGVs2/xeIOGuE1eVrYxareby5cv4+fmhUChuWP78+fNUVFQQHh5OYGAgpqamJCY2fMEXHh5OUlISkiQBmt4VZ2dnXFz0L1KubVNtbS2ZmZns2rWLwMBA7O3tm79zwi1RqdTsOX6Zgd389OZwNGTSiAj8Pe2Imbej2e93de6Hn4f+8CmlQs4Tg0KJ3Vgf/MZuTGJoj7Y42Jg3632WbEgkxM+JDkGuTBgWTtL5XI6fzTZYdnjvAMxNjVixTRMolVfW8MfO00wY1vCdzmXxJzHtOQOzXh/R76WF7Dl2uVntay3Ukoqcsj24Ww/Qu2BuCkeLroDE9otPkF26mzq14R4OJ/OuVKly2Z06mbzyQ6iluptqr5/9k1TWZmvnhJRWp5Bbvg9/B/2hOeU16cSd6UNpdSq9fH6kr+8SVOoy4s5GUVR5Slvu9JU5HMr4P3xtxzKw7WqcLCLZkaI/VOlk7rfsSp2Eq1UUA9uuoZP7f7hY8At7Lj3fhJZLqCWV3k9jqlVFFFWdwMa0XRPqv7OGR/TC3MSUFX9uBaC8qpI/juxgQs/hOuVqVbUM/uwVVhzaynuPPM+6f35DVHAnnvzuX2xO2g/Ae488z/CI3vg4urF/+gL2T1/Ae4805TM0TClX8kTkYGL3bdCmxe7bwND2PXGwtGlkS31qSY2qTqXzU6fWP1YDXLyZ0HM4n69fSEX1rQesrY5aBVf2gmt/UBgeVqsjcxNUXwHfceA+HIztNMPC7ihJ087rf67K3qH5131oM6pUN16ncNeJIWGtTEVFBSqVCmtr/TH8hiQmJmJiYkJQUBAKhYKQkBCOHz9OZWWltjfkWuHh4WzZsoW0tDS8vb1JSkqiY8eOBmqu9/HHH1NXpznR+/v7M3bs2EbLC3dGfnEFVdUqvF2bdmwAKJVy3nu+L5Nj/uDgiQy6hRm4+/QXtVpCpVJTq6rj4MkMPp6/m1F9g+gaanib8cPa892zP3E5uxgnW3NWbj/FD1NHNmufTqfmcfhUFh/91WP01NBw/m/2VpZsSCQi0FWvvJFSwWMDQojdmMQzozqyavtplAo5I3oHsDnhgl75UX2D6BbqgY+bDek5JXyxeB/9X17IjrmT6RnRysecX6dalU+dVIWFsf5+6V5Qy5DL9ANeN6to2rv+i6Tsz0kviUMhM8HJIpI2do8T5PSSdpu2DpPIKtvB+fyFnC9YhFJujqtlFP7245s0f+UqMyMX3K0HciE/FjerflwoiMXGNBhH8056ZU/kfIVKXcHQwC2YG2mOCw/rQfyW5MPx7I+JarMYSVJzLGsGbeweJ9L727/KDKZOXUFSzhfaumrrSjmSMY0Q5yl09/rvNe1xZuuFMUS4TsXOrOFewoySzSw4YqSX/lhYClYmvga3OZj+T0BGO+dXmvLR3FFGSiMe6zaQ2H0beKbvw6w6vA2lQsGIDn3YfCJBWy523wb+vJjM4f/E0sFH03M7KDySjMIrvL/ifwwO74G/ixdOVnaYGpnctuFR43sO47stv3E5LwsnaztWHtrGD89Nu/GG19fzv6mM/99UnbSo4M7smPqDXtn3Hnme2P0bmB2/jHcemnyzTW+dqvOhrgrMm3g+TF0KRtaaXheFsWbS+8VFUF0IJndobmD6OvjFwI2wMZfBzBUqM0EmB/NmDP3d/cTta59wW4iApZWSyfQnB16vurqaM2fOEBYWpp2z0r59e44cOcLJkyfp0kV/JRUrKyt8fX1JTExELpdTUFBww+Fgzz33HLW1teTk5LB7926WLl3KpEmTxLCwu+yvTrEmHRvXmjCsPR//vIfp83aw4duGLyinfr+Nqd9v074O9XNi6UdjGiwfGe6Jn4cdv2xMwtfdFtAECMfP6a7+olZLqNWS9rVcLkMu1+zD4vXHkck0gQqAh7M10Z19+WXTCT77+yBtuWuNHxZO9EsLybxSSuzGJB4dEIKJseFT3bdv6w5/Gtk3iNDHv+eDH3ayabbhSbatlcTVz1j3M8su20PcmT7a142tvtXF42OCnV7mctFacsr2kFW6hf1pr5JatIKhAfHIZHJkMjl9fRcQ4fovTbnyvWSVaCbcZ5ZuoY/vfOD6IAmDvT7+9uNJSHudHurvuFAQi7+94eMzp2w3rlbR2mAFwEhhiZftSLJKtwNQXpNGRW0GvnaP6mzra/eoTsCSW76fWnUpfvZP6LTRzao/IJFXcajRgMXZogeRXt/qpZsbuRssn5w7i3P58+njuxBLY+8G672bxvccRvRHL5JZeIXYfRt4tOtATIx0765vPpFAiIcfYZ7+qOrqP6dBYd35R+x/qVPXoZA3rae3OSLbtsfPyYNfEjbh66hZLGRUpyiOXz6rU06tVqO+ZjihXCbX+U766LFXGRzWQ2cbKzPDvb/+Ll5M6jWCL+IW8crAx2/XrrQS2i+WGxetLdUEDz6Pg+KvIbhtnoLzP8Ll5RDwwp1ponNf6PSZfrrJ1Xm0kn7ejXT6TFPv9Tb20E8T7goRsLQy5ubmKJVKiov1l2K9XnJyMiqVisDAQKqqNEuTOjs7Y21tTWJiosGABTS9LPHxmjHCPj4+2NjYUFZWZrAsgJub5kvD29sbNzc3fvrpJ06dOkVoaGiD2wi3n6OtOaYmSi5n3/jYuJZCIef9F/oy4b1VJCTpT0q/6rXHu/L0Qx2orK5l9Y7TzIxN4JVP41j4wSMNbjN+WDixG5PwcbNlTL92mJnq33n+8IedfPBD/VKwTz8UwYKYR5AkiaWbTtClnTu2VqYUlWqO4Ueignj9yxS2/ZnCwO5+evX17uCNl4s13/ySwJYDF4n/bmKTPwtLc2NG9A5gWfzJJm/TWpgqHVHITCivSdNJdzDrwKhgzVKuCWmvG9pUh6WxNyHOrxLi/Cp16hr2Xn6R8/kLSSteh7dt/bKtNqZBhLsGEc5b1NSVsP3iY5zLX0Co8z+wN2+v1wthqAfCx3Y0+y6/zNGsDymuOt1gwFJdV4Cdmf75xkzp+tfcG6iozfrrc3C+rozucNeq2isArD1teBJveU3jQwaNFNY4WjS8rO61LhYs40DaFDq5zyDAQX+57nuld2BHvBxc+GbTUracPEj8u9/rlblSUsiJ9PMYTe5moAbN6lqe9g0PJVYqFAaHYAE3DHbG9xxG7L44fBzcGNOlv86Sw1d9uHoeH6yap339dO+RLHipfnl2PydPuvg1fT7de4+8wOK965kdv4zItvduJbe7zsRRE3yUp9247OWVUFcJHsM1c1cAbEI1PRspsXcuYDG2AYfODeebeWiGeFVmNL2XxdKv8TqFu04ELK2MXC7H29ubixcvUldX1+g8lquT53/77Te9vJKSEgoLC7Gz0++iDQkJIS4ujiNHjjBixIhmte9q8FJYWNis7YRbp1TK6dPBmy0HL1KrqtNbargx44aEM+On3Uyfu4MeDayY5eFsTZcQzV3iPh19qKiqZc6Kw7z6WNcGh5KNH9qeD3/YxcmLV9jYQO/Ni2M681CfQO1rR1vNXc49xy6TmllEamYRdv30754t2ZBoMGCRyWQ8NTSczxbuxd3Jir6dDC/j3Zjm9VG1DnKZEmfL3mSWbEEtqbQ9GkYKS+0FtpHCmjp1VWPV6FDIjQlz/ifn8xdSVHUKbww/Z8JYYU07p1fJKNlMUdUp7M3ba4Okqwz1QBgpLPG2eZik7E9xtuiJlUkbg/WbKOypqNWf11SpysZEaf9X/ZpzU5Uq97oyuj1+JkoHAPr5/YaVsf77NdRT0lzpxRvZlTqRdk6v0sFt6o03uItkMhlP9RjKZ+sW4m7nRN8g/WF4DpY2hHr4s+DFDwzUAM7Wjc9jdLKyI6e4AEmS9HqFMwuv4Gzd8PCh8T2H8+HqHziZfpGNb882WObFfmN5qEP9HXJHK9tG23Mjvk7uTO4zki/jFjP/hZtfOKDVkSvBqTdkbwN1rWbFroakLNX8a2g4VUUGlKWApeG/4TvKtR+c/BQyNkLAzc+hEu4tEbC0Qj179mTJkiVs376dgQMH6uWfPXsWV1dXUlNT6dChAxERug90qqys5LfffiMpKYm+ffW7PE1MTOjZsyfZ2dmEhDRvRafLlzV3Hw0FQsKd99bEngx5bQnvz9nOJ6/pHxvrdp/VCQ6ukstlTH8hinFTV2gXXLiR//ytP0s2JPGfn3axtoFlkQN9HHhpTGfyiyvp39XwF5W7kxXuTvrP1Vgcl4ixkYK1X43D+Lrga2bsflZuP8X3/zcCcwO9Nk+PiCDxXA7DewUYHDbWkNLyatbtPtvgvJzWLszlTeLPD+doZozessY3Ulmbi6nSSe/isrhaMxTH7K/hWJW1OZgZ6d9ZL67SLdfUXohgp5epVZfQ1mFyg2VcLPtw+sr3VNRma4eF1daVk1a0Ds+/Vj2zMPbC3Mid1MLltLF7TLttaqHu6k/Olj1Ryi0pq7msU+52yi7bw9YLY/CxHUt3r6/vyHvcqqf7jCQx7RzDI3obHN47ODyStUd34WJjj5eD/nyyq4yVSqpqq/XSo9p14tN189ly4gCDwuuXga5R1RJ3fC9RwQ3f3Q508+Gl/mPJLy2mf2hXg2Xc7Zxwt3NqbBebbdrDz7NwzzpmxS+7rfW2eCH/gG0j4HgMdPxIPz99Pdh3gNyd4DdJ8xDGa1UXaIKYlF8g/N93pck6XKI1SyUnfaTp/TG/7qZDTbFmWWNn/eXyhZZDBCytkL+/P1FRUezcuZO8vDzCw8OxtLSktLSUU6dOkZyczMCBA5EkiR49eug8U+UqLy8vEhMTDQYsAP369TOYfq358+cTHByMo6MjCoWCrKws9u3bh6urK8HBwTfcXrj9Bkf6M/2FKD74YSenUvIYPywcVwdLMq+UsnzrKVZsS9Z5cOS1Hh8UyoyfdhF/4CImxjfunXG0NefvT3Tj0wV7SDqfQ3hbw8M/5vzb8FOlG1NTW8fyrcmM6hvE4Eh/vfxaVR1rd5/ljx2nGTdUf3hGkK8j675+qtH3+GVjEmt3n2V4rwA8nK1Izynhv7H7ySko5/fPoprd5tbAy2YYHdze41jWfyioPI6f/TgsjLyoVZeSX3GEvPJDOFsaHqN9Pn8R5/IX0NZhIg7mnZChIL/iMInZn2Jp7IOvrWY+07Gs/5BXcRg/+3HYmYYhUUdO2R6Ssj/H0bwrLpbNWz7U1aovrlaGz1NXhbn8g/P5C9h0dhAd3N9HLjMiKftz6qRKIlw1F0gymZwI16nsT3sVszRXvGxGkFu2n5RC3R5oY4U1XTw+4WD6m1TUZOBuPQCFzJSymlTSitfT1fMLnefQXK+mrpjcsgS9dAtjTyyMPSmqOs2W8yOxMPagndMrXCmvf0q3Qm6Cg3nji5zcLUFuvqx7U38uzlUTeo3gxx2rif74Rd4cNoF27m0orargRPp5Uq9kMu+59wBo596GH3euZvGedbRz98PRyhZfJ3cGh/UgKrgzj89+l2kPP08Hn0CulBTx7eZfyC0pYOqoxh8+POeZW+uVOp+TRsJ5/RUzO/oE683Xucrb0Y1n+z7MnG0P2BLHboM0SwInzYCS05oVwMxcoSIT0lbC5VXQ4SPNsKt2/wBbA8PBHXtoJuRfG7AUndQ8p+V63s1cuKemCPIO6Kebe2mCE5kMei2BrUM0c1CC/l7/4Mj8g3DmfxD8dxGwtHAiYGmloqOj8fT05ODBg6xfv57q6mosLCzw8fHhueeeY+3atbi7uxsMVgA6dOjA2rVrycjIwMPj5u4mu7u7c/ToUYqKipDJZNja2tKtWzciIyObtOSycGfEvBRNj/aefPvrQf72yXqKy6pxtrcgqpMP+35u+CJALpcx/cUoHv+/pn8ZvzWhJ7N/O8jHP+/hl49v3+pw63afpbCkiskjIwzmD+jmh5eLNUs2JBkMWJqijYcdWXll/POrTRSWVGFlYUzvCG9+mDryvu1hAejk/iEuln1Izp3FgbQpVKsKMVZYY2fWno7uHxDoaPgY8bIZQXltGhcKYknM/oTaunLMjd3xtXuUjm7TMVJoesn87SdQJ9Vw+sr/KK9JRy3VYGnsQzvn14hwnWpwBbJbZWHsyfCg3fyZ/ja7U58F1DhZRDI8cCe2ZvVLBbdzfoWaumKSr8zizJUfcLHsRXSbX1h3pqdOfSHOr2Fu5M6JnC85kzcXGQosTXzxtB6KqbLxu/ZXyhNYd0Y/6OvgNp1O7jFcKUugpq6Imroi4s7qBmKWxj48Hp5605/D3WSsNCL+3f/xnz9+4Mv56VfkAAAgAElEQVS4xaQX5GBnYU24V1ue6VM/NPC56Ec4ePEk/4idSX5ZkXYuiVwuZ/2b3xKzag6z45eRXpiLpYkZff6/vTsPb6pM3D5+J026L7SUtpQChUJBQHYEZBGqKIsjoCOoRUVAQXDcuObVUVFHHRx0FH8OMi64U0AERQRFYaBUQQRZlH2nLN0XaLqmbfL+kSEYk7KJetDv57pySc55zpPzpDXNfZ7ltOqkr6e8pXaNW/yi5z9l4UxNWeg9N+fgi0uU2KDuYX+PDh2rt79arKpqY9649BfT/nEpuoe0+xVpw19cvRKBMa67zF+TIX17txTVxXdYkaSk26VvJ0iF37nCgiQdmut6/FTqOb63eV9JX/Tx3t7xGant/3P9O7ylNGi9tPMFaf/brrvbmy1SRBupzYNSy/Hn9pr41ZmcZzv+AwAAAAB+Zaw7CwAAAMCwCCwAAAAADIvAAgAAAMCwCCwAAAAADIvAAgAAAMCwCCwAAAAADIvAAgAAAMCwCCwAAAAADIs73V/EDitfP+iQcnVCdlUrSP5KULQ6qpmiFe5RdrbSdULlGq4eileUV12v6DNJUk+1Vmc199hXriq9q5VyyKkUtdclSvA6vkrVmqMMlatKN6in4hR5AVuKs/Xkl0X6+4pin/vGdgvTrBtjJEk1tU7NWl+i9zbZtD23WpXVDjWNtOqGS0N0X+8IxYW5PhoSn83UwORgvXqD9929B87KUmWNU+kTvO8K/4//FuuxL4o0pluY3vzfa/7Y6A/y9O5Gm9rGWrVtchOv/de9na1Pd5briuaBXvV/d6RSj31RpLWZlXI4pdYN/DX9uvrq0yyozvfl6PEaTUsv1vojVfo+266qGqeczyXVWf73aM6TH2nBP5foo8q3fO4fm/iA8jILNHjilbr7ldEe+2qqa3Rbw7/IVliqm58YrluevN5d59y/fyxJMplMCgwNUHTj+mrTq6UG3X2lkjoluuvIPZSvcc0ePO05truitZ5Nf1SSNH30a1r57tdeZcb/+zZde88Ar+0FR4s0tun9CggO0Hu5MxQYHHDa14KnV7Jn6z85aQr3C9XqdnNkNVs99k89+h/NyV+seP8Yfdn2XR2rytU1O0brucSHNDiynyTp0cwX9EnRCvcxQeZAJQcmamzsCKXU6+n1mnaHXWn5i7WkeJUyK4/JYvJT6+AkpTYYqgH1evk8zzUlG5WWv1hby3fJVluuKEuEuod21O0x16t1sOtv16LC5Xrs8Itexw6o10vTmz12vm/RH9Lo0aP17rvvup9/8MEHGjFihPt5ZWWl4uPjVVx86u/OhbwfeWJiojIzM9W0aVMdOnTonI49dOiQmjVrJkm6/fbb9c4771yw8/ol+Grrj9//gwcPKjEx8bc7wd8YgeUitV57tUF7lagY9VUbhShQparUPmXrA32tSRrsLpuj4zqhcknSbh3zGVgkySo/7dExr8CyV9nyk58cqqnzfL7VngvQKlwI/n7Sah8hIibUT5Jkr3HqT+9ka9X+Ct3VPVyPpkQq1N+snXl2vbG+ROsyK7XKx/HnIm2zTZK0YGuZXhnmUKDVuzM31N+k7bnV2pJVpY7xp75cFpbVatmecoUFmLyOWb2/Qte8ma1hbUM075ZYWf1M2pxVpXL76f9A7ius1oc/lKlb4wB1bxygjIOVP6t9v1dBoYH6ev563fV/t8rP4ufevvHzH1RVbpfZz/vnaPG36NnVrpBRVValwzuOacXbGVre9XHd8a+bNeyBQZKkqIb19Pw3T/h83Yy53+jTl79Ut2s7emyPaRqtv86b5LEttpl3eJak9LS1cjicqiit1LpFG9XvlsvPvuGQJPnJrCqHXRklG3RlvVPvX42zVsuKMxRirvuiwEnx/jF6PvFhSVKuvUCzcufrgYPP6P3kF9Q+pLW7XJXDrvH7H9UPZbt1a8xw/b9Gd6rSYddnxav0wMFnNC52pO6PH+1R98zsNM3Mma1+4d31SMJENbBGKc9eqGXHM3Tj7nu0tdNnnuWb/10RljD383p+nhfycO5ef/11j8Dy4YcfeoQV4JdCYLkIHVa+NmivOqm5Lldrj33JitdB5Xps26NjMsushorUfmWrr9rIT376qeaK024dU6Fsqq8wj+ObK1a7dczn+eTrhHbqqHrrEqVr2wVoIX4Ok8mkHk0D69z/5PIiLd9boU9Hx2nIJSHu7VckBWl8j3At3Vn+s15/49Eq7cyr1sBWQVq2u0KLd5RrRIdQr3KNIiwKDzQrbZPNI7DM/6FU0cF+ahfnL3vtqSBS63BqzId5GtomWPNSY93bByQHn/Gc+jYLVM7jiZKkf64qJrDUocvgDlq3aKM2fbFV3YacCg/paWt12Z866dtPNnkdYzKZ1LpHC/fzDle21eCJV+nFW1/VW5PnqnWPFmrds6WsAVaPcicd2ZWl5W+uVueB7TV88mCPfdZA38f4sjptrZp3aqqirONKn72GwHIe/Ex+6hfRXUuLV3kElm9KNqm0tkwpET31Q/mu09YRYPJXh5BLXE9CpA4hl+iq7bfp48LlHoFlRvb7+q50m2Y0f0L9Inq4t18RcZmiLVGalfuBuoVeql7hXSS5elZm5szWHTF/1uRGYz1ec3BUP6WfWOd1Lm2CWyja6vsCHc7PypUrdeDAATVv7rqw+cYbb/zGZ/T79tZbb2nWrFmSJIvlj/2VnTksF6HNOqAg+au7kn3ub6ZTX+YccmifstVUDdReTVWlGh1Svs/jIhWqaIVrj7Lc246rTHk6oWTF+zzGKafStU0dlKh6CvFZBsZRWe3QjLUnNLRNiEdYOclkMunaNj/v5/j+JpssZunNP8coOsSs2ZtsdZZN7RSqud+XyuE4FUxmbyrVTR1DZf5JB8uKvRU6UFSje3tHnPM5mX9aGXwKjQxR18EdlJ621r2t3Fah9Z9uVr/Usw8Afn5mjf/3rbL4W7RkxvI6y1VV2PXciBkKDg/Sg++Nl8l0fj+nA1sydWjrEaXc1lt9RnbXluXbdTzvxHnV9Uc3JLK/Vp9Yr9LaMve2JcUr1Se8m8L8vC88nEmsf7QiLRHKtue5t1U6qvRBwVJ1Db3UI6ycND7uZoX5heidvIXubW/nLVSUpZ7ubXibz9fxVQ8urCZNmsjpdLpDyq5du/TVV1/J399fcXFxPo/JycnRpEmTlJiYKH9/f0VFRWnw4MHKyMjwKvvaa6+pefPmCgoKUp8+fbRx48Y6z2XLli268cYbFRsbK39/fzVu3FiTJk1SQUHBebXtySeflMlkkslk0sKFC3XLLbcoNDRUjRo10vTp0yVJr776qpo1a6aIiAhde+21Onr0qEcdpaWlevTRR9W6dWsFBgYqIiJCV1999c9q65gxY2S1WmW1Wt3DxA4cOKAbb7xRLVu2VHh4uKxWq+Lj4zVy5Ejt3LnT4/jExESZTCYlJiZq7dq16tWrl4KDg9W6dWvNmzfvvN6r3wqB5SLjkEPZKlaCouV3Fj++w8pXhexKVryaKkYBstbZUyK5emj2KktOub5A7tExRSlU9eW7K327DqtcVeqis7sKil9HTa3T6+F0OvXd0SrZqpwa3PrMvRInOeuqz0fZWodT87aU6urkYMVHWDSifaiW7SlXQVmtz7pv6hCqHFutVh9w9XgcLKrW2sxKjeoU5lX2m0xXGVuVU51eOiLLw/vVdGqmXsw4ftZtwZn1G9VL336yURWlrvd77cINCgjyV5dB7c+pnvD6YWrZrZl2rt1bZ5nX731fh7cf1eS0uxXRwPszJu9QgW6KHK9h1tGa1O5hLX9rtc96Vs1eI7OfWX1v6qF+o3qptqZWGXO9r7jjzPpEdFOgOUDLj6+RJJXXVmrliXW6NirlvOorr61QSY1NCQGnvtDuKN+rckeFrozwHYLDLaHqFtpem0t3qMZZqxpnrTaXblfPsI5ec2tO54Zd96j95iG6atttmn7sLVU57OfVBriMHevq2XrnnXdUU1PjDi7Dhg1T/fr1vcofO3ZMXbt21cyZM5WZmanq6moVFxfr888/V//+/TV//nx32bS0NE2YMEEHDx5UZWWlvv76a6WkpKioqMir3pUrV6p79+5asGCB8vLyVF1draNHj2rmzJnq0aOHz2POxfjx4zV37lyVlZUpKytLDz74oIYPH667775bhw4dUklJiZYuXarU1FT3MWVlZerTp4+mTp2q3bt3q6qqSiUlJVq+fLlSUlL08ccfn1dbfTl8+LAWLFigffv2yWazqaamRtnZ2Zo/f7769OmjvLw8r2Py8vKUkpKitWvXqqKiQrt371Zqaqp27Tp9j6mREFguMpWqVq0cClPdQ35+bLey5C+LEhUjP5mVpDhlKl+VqvZZPlnxKlWFsuUak7pHWWol3/MZylWlddqj3rpEVh9DzPDbqKpxyvq3A16PdzfadOyEKzg0qXf2Xcuvf1vis74v91R4lV2+t0K5pbVK7eS6Ejuqc5iqa6UPvi/1WXdsmEVXtQhyz3lJ21yq1jFWdU7wnjCdY3Ode+rcXI1oH6rl4+J1fbsQTV5SqLc2lJx1e3B6l13bURarResWua74pc9eq94jLpPFeu7DEaITonQ8x3dPR/qctfpyVrpGPDZU7fu38drfvGNTjfnXzXrko/v0t4X3qknbBL08dpY+en6pRzmHw6GMuevUPqWNIuPqKblbczVq1VCrZq855/OFZDVZdHW9PlpatEqS9N8Ta2Ux+emK8G5nXcfJkJFlz9Xjh19SqF+IbosZ7t6fU+26Ct7IP7auKhTvH6NKZ5WO15ToeE2Jqpx2xfl7L+DhSwNrlCbGjdIzTR7Qa0nPaEhUf72X/7HuP/jMWbcB3gYOHKgmTZooJydHCxYs0HvvvSdJuuuuu3yWf/zxx3XsmOsC6UMPPaTCwkItW7ZMQUFBcjgc+stf/iK73S6n06nHHnMthmCxWLRo0SIVFhZq3Lhxstm8e+gnTJggu92uSy+9VDt27FBZWZmWLFkik8mk/fv367nnnvtZ7WzYsKEOHjyohQtP9fAtWrRIM2bMUEFBgS677DJJUkZGhrKyXCNSXnrpJW3ZskVms1nz5s2TzWbTgQMH1KlTJ9XW1uqee+6Rw+E457b6kpSUpMWLF+vw4cMqKytTcXGxZs6cKUkqLCzUnDlzvI6pqKjQHXfcofz8fD3yyCOSXJ+dP26j0f2xB8RdhE5d1T7z0Am7anRIuWqheFn+FyhaqZF26Ij2KVvt5L06U4gCFa/62qMsmWXWCZWrZR3DwdZqlxooXElqeJ6twS/B309aM9E7ZDaLsmr5Xtf8lHMZeXN9uxD9rX89r+33Lvbuen9/o00h/iYNa+saVtazaaCS6ls0e5NNky73PZQrtVOY7l1coFeGO5W22aZUH70rklT7v5VnxnYL199SXKvQ9W8RpP2F1Xp25XGN6caE2gvBGmDV5Td0VXraWnW4sq22rtqhm58cfuYDfXA6nT5/2Y7tydbM8W+rbd9Wuulx33UPvX+gx/Pu13VWbU2t5j29SH+67xpZ/V1/vr7/73YVZRXr9mdPTQTul3q50h5fqCO7stS4te/PL9Tt2qj+umPvQ8qrLtTSolUaUK+3/M3+Z3Xswaqj6rjlWvdzi/z0n6Sn1STg/H4OJpnklMP977PRK7yLe+6LJPUM76QYa5SePfqqtpTtVMeTc2xwTsxms8aOHasnnnhCEydOVHFxsZKSkpSS4rv37fPPP5ckhYWF6emnn5bVatU111yj66+/XmlpacrLy9PGjRuVkJDgHu40YMAADR06VJL0zDPPaMaMGbLbT/WM7d27V3v3unptt27dqjZtvC92rFixwmvbubjvvvuUmJio2NhTgTohIUGTJrkWALnyyiu1fv16SVJmZqbi4+P12WeuBR8cDoduuukmrzqzsrK0Y8cORUREnHVb6xITE6PvvvtOjzzyiA4cOKDycs95p7t37/Y6xmKx6LnnnlNYWJhSU1M1depUSa7emosFPSwXmSBZ5SezSuV9dfun9itbNXIoUTGqUrWqVK0ohSlUgdpzmmFhrRSv/crWLh1RvKIUJu+VYXJUrL3KUnclu+uu/t8qYtWqlf00K4rhl2UymdS1caDXo36InxIiXF/yDhef/c+nQYifz/rCAzw/PsrsDn2yo0wDWwXLXuvU8YpaHa+o1fC2IVp3uEr7Cnz36g1vFyJ7jVNPrSjSrrxqd+/MT0UFu0J3SgvP38eUFkE6UORamhkXRr9RvfT9iu1a/NIyRTeprza9fM+XO5OCI0WKjPMMqvZKu6aNmCFLgEV/nTNRfj5WHqtLn5E9VGGr1LHd2e5t6bPXyhpg1aX9L1Hp8TKVHi9zrzaWTi/Leekc0lZx/tGanbdI62ybdW3k2Q8Hi/eP0bxW/6c5ydP1jyYPqp4lXA9lTlNh9amhm3HWaEnSMXtuXdUoy56nQFOAIixhqmeJUIDJ32MezLkaWO8KSdL2cla0/DnGjBkjPz8/98pg48aNq3PuWX6+a75sbGysrNZTQ/kaN27sUeZkL4XkCgYnBQUFKSrKc9EEX8OdfqqwsPAsWlK3k0sHBwWd+lvTtGlT97/9/U+F96qqqnM6r3Npa10mTZqkp556Stu2bfMKK5KrN+WnYmNjFRYW5n6tn57/xYAelouMWWbFK0pHVKBaOU47j2X3/ybPL5P3yj6lqlSJyhUu77kMSYrTam3XDh3RFWrns+5ilckhpxbqG699i7Ve9RSiVF1xts3Cr6RrQoDCAkz6bHe5xnW/sD0SH20tU5ndqYVby7Rwa5nX/tmbbHryau8P5NAAs4a2DdE/Vx3X5U0D1SzK9xj1trG+r/A6nZLDKVXXSoFnP7wdp9HuitaqFxuuj//1mW54+E/nNRn+RIFN+zYeUq8/ew4lmvVAmg79cERTPn1Q9Rud3wpOJ0+nsrxK33z8naqrqjWmyf1e5dLT1mrU038+78n8f1Qmk0mDI/vrrdwP1cAapa6hvv8O+BJg8le7YFfAbR/SWk0DE3Trnsn6T06aHmvsukLdJrilgs1BWnVinW6NGeZVh622TBtKf1Dn0LaymFwXKjqHttU62xZVO2tkNZ37VxeT+7/8LvwcCQkJGjRokJYsWSKr1ao77rijzrLR0dHKyclRbm6uqqur3aHlyJEj7jINGjRQfPyp3rcfT2SvrKz0mtfRoMGpZc1TU1N93lvl594HxtdqXGdaoatBgwbat2+fAgIClJ+f7xEKTp6TxWLxaN+Z2lqXDz/8UJIrhKxYsULJycnasWOHOnXqdFZtulg/D+lhuQh1VDNVyK71ddz75JByVapKZalQrdVIw9Td4zFQnSXJYzWwH/OXVZ3UXE0VU+dwryZq4FVvb7m62fuqra5ShwvQUlxogVaz7rk8Qou2l2nZbu8rM06nU0t3eoeNs/H+Jpviwvy0any816Nb4wClbfY9j0WSJvQI16BWwXqgT90rgF2THCSrn7Rir+d5/3dfhVpGWxUWyMfZhWI2m3Xj3/6kzoM6KOW23ud8fG2tQ6/f+75q7DUa8qObPH41/1t9/upKDX1goMeyyWcrY+43Cg4PUnyy63Np3aKNqrBV6s6XRmnqqkc8HiOnDFPeoQLtWMMV9fMxNOoq9Q7vqjtjR8psOv//tzqGXKKB9frqo8IvlFftuvIdaA7QyOghWl/6vTJOrPc65vWcebLVlun2mOvd20bH3KDCmmLNyH7f5+ukn/j2tOextDhdktxhCudv8uTJGjJkiB566CGPYVM/NWiQ6x5MNptNU6ZMUVFRkb744gt99NFHklxf8rt06aKEhAT3DR6XL1+uTz/9VEVFRZoyZYrXEKnk5GS1bNlSkjR//nzNnTtXpaWlstlsysjI0MSJE/XCCy/8Es0+rSFDhkhy9VhMmDBBR48eld1u1549e/TSSy/p6quvlslkOqe21uVk8PPz81NoaKgKCgo0ZcqUX6ZhBkIPy0WoiRqom1pog/apWGVKVryCFaAyVWq/crRfOeqpVnJK6qjmHvdUOSlOkdqtY+pax+pedS2ZfFKIAhQi33eSbqBwxcp7zgN+HU6nU+syve8zEh5oVptYfz05IEobj1Vp6DvZGt8jQgOTgxTib9bu/GrN2lCiEKvJ55LHp5Njq9HK/RV6oHeE+iV5DyG887Jw3bUwX99kVqqnj3vE9G0epL7NT39Tutgwi+7tFaGX15xQvSA/dW8coE93lmvprnK9N/LUZNz0/RXq/1qW3h7RQKO7nupFWvCDKzBty7F7PG8T6682dfTe/N44HQ6tWeD9BbFxG+85T0MmDdCQSd53lPeq0+nUrnX7JElV5VU6siNLK97O0MEtmRrzws3u+6jkHMjTjDvfVFR8pHoM6+I+5sesARYldUpUXmaBpt/+mvre1EMNW8SqwlapVbPXaN2ijRo3PdU9fyV99hpFxkVoyD0DvIaWJXVO1Mf/+kyr3l+jtr1bnfnNgYdmgQmamfT3C1LXhIa36IvjX+nd3I/014Q7JUn3NLxVW8t36YGD/9CtMcPVM6yjqhx2LS1O19LiVRoXO9JjHkqv8C66Oy5V/8lJ08HKIxoS2V/R1kjlVRdq+fGvtfz4GveNI+/c94i6h3ZUi6Cmspos+sa2WbPzP1FKRE+Pe8Hg/PTr10/9+vU7Y7mnnnpKy5YtU3Z2tqZNm6Zp06a595nNZr388svu4VVPP/20Ro0apZqaGl133XWSXEOXgoODvYY9vfbaaxo0aJCqqqp0223ey1w/8YTvG9T+ku6//34tXLhQmzdv1pw5c7wmvp8cUmYymc6prb4MGzZMb775prKystzhp0WL3/9KrQSWi9RlSlacIvWDDmm1tsmuGgXJX/GK0g3qqXRtU4wifIYVSbpECVqlrcrVccLF74y9Vur5ivccpSuaByp9QiP5W0xaekdDvbG+RO9ttOntDSWy1zrVNNKqwa2DNbnvuf8+zNlcqlqHPALCj43sEKr7Fxdo9iabz8BytqYNrq/wALNe/7ZET62oUctoq94bGaNbu/j+Pf+xG2fn+nz+xFWRPoeq/R7VVNfqnzf+22v7zU+c36R6Saqx1+ivPV1fbINCAxXdOEpteifrnjfGqkXnRHe5bRm7VF5SofKSCj3c1/dqTTFNo/XmoekKCgtUSL1gzZ/6qU7klcjsZ1KzDk3017kT1femnpKk43kntGX5dl13/zU+58EEhwfp8uu7as2H6zX+37e5Qw5+fUmBTTQosq8+LPxcd8XdpAhLmALM/no96R+anb9YS4pWanbeIvmZzLokOEnTmz2mAfV6edUzqeEodQy5RLPzP9HTR2aotLZMUdZ66hp6qWYnv+DxeouKvlRudaFqnDVK8G+ou+Nu0ZiYP/+azf7DS0hI0MaNG/XUU0/ps88+U1ZWlkJDQ9W9e3c9/PDDHqEnNTVVNptN06ZNU3Z2ttq3b68XX3xRo0aNUmZmpke9/fv314YNGzR16lStXr1aBQUFioyMVLNmzTRo0CDdfvvtv3JLpZCQEH311Vd6/vnntWDBAu3fv18Wi0WNGjXS5Zdf7jER/1za6sv06dNlMpm0aNEi2e12DRkyRJMnT1bXrl1/ySb+5kzOnzvYDwAAAAB+IQz6BgAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAACosLvUAAAEtSURBVGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhkVgAQAAAGBYBBYAAAAAhvX/AfP98HNj/k7ZAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 960x960 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180)\n",
+    "month  = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])\n",
+    "nmonth = month.size\n",
+    "\n",
+    "fig = plt.figure( figsize=(12, 12), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 1)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "for m in range(tm.nmod):\n",
+    "    plt.plot(sinlat, ts[m, :], color=tm.modcolors[m])\n",
+    "plt.plot(sinlat, np.nanmedian(ts, axis=0), 'k', linewidth=3)\n",
+    "plt.xlim(-0.98, 0.98), plt.ylim(270, 312)\n",
+    "ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "ax.yaxis.set_ticks([270, 280, 290, 300, 310])\n",
+    "ax.yaxis.set_ticklabels([270, 280, 290, 300, 310], fontsize=10) \n",
+    "plt.title('Surface temperature', fontsize=14)\n",
+    "plt.ylabel('K', fontsize=12)\n",
+    "plt.text(0.02, 0.95, 'a)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "   \n",
+    "\n",
+    "ax = plt.subplot(3, 2, 2)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "for m in range(tm.nmod):\n",
+    "    plt.plot(sinlat, pr[m, :], color=tm.modcolors[m])\n",
+    "    plt.plot(np.sin(itcz_tm[m]*np.pi/180.0), 1, '|', mew=1, ms=15, color=tm.modcolors[m])\n",
+    "plt.plot(sinlat, np.nanmedian(pr, axis=0), 'k', linewidth=3) \n",
+    "plt.plot(np.sin(np.nanmedian(itcz_tm)*np.pi/180.0), 1, '|', mew=2, ms=15, color='k')\n",
+    "plt.xlim(-0.98, 0.98), plt.ylim(0, 18)\n",
+    "ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "ax.yaxis.set_ticks([0, 6, 12, 18])\n",
+    "ax.yaxis.set_ticklabels([0, 6, 12, 18], fontsize=10) \n",
+    "plt.title('Precipitation', fontsize=14)\n",
+    "plt.ylabel('mm/day', fontsize=12)\n",
+    "plt.text(0.02, 0.95, 'b)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 3)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "plt.plot([-20, 20], [0, 0], 'k--')\n",
+    "for m in range(tm.nmod):\n",
+    "    plt.plot(month, itcz_mm[m, :], color=tm.modcolors[m])\n",
+    "plt.plot(month, np.nanmedian(itcz_mm, axis=0), 'k', linewidth=3)\n",
+    "plt.xlim(1, 12), plt.ylim(-15, 15)\n",
+    "ax.xaxis.set_ticks(month)\n",
+    "ax.xaxis.set_ticklabels(['Jan', '', '', 'Apr', '', '', 'Jul', '', '' ,'Oct', '', ''], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-15, -10, -5, 0, 5, 10, 15])\n",
+    "ax.yaxis.set_ticklabels(['15S', '10S', '5S', 'Eq', '5N', '10N', '15N'], fontsize=10) \n",
+    "plt.title('ITCZ position', fontsize=14)\n",
+    "plt.xlabel('month', fontsize=12)\n",
+    "plt.ylabel('deg lat', fontsize=12)\n",
+    "plt.text(0.02, 0.95, 'c)', fontsize=14, ha='left', va='center', transform=ax.transAxes)\n",
+    "   \n",
+    "ax = plt.subplot(3, 2, 4)\n",
+    "ax.spines['right'].set_color('none')\n",
+    "ax.spines['top'].set_color('none')\n",
+    "ax.xaxis.set_ticks_position('bottom')\n",
+    "ax.yaxis.set_ticks_position('left')\n",
+    "\n",
+    "plt.plot([-10, 10], [0, 0], 'k--')\n",
+    "for m in range(tm.nmod):\n",
+    "    plt.plot(sinlat, ua850[m, :], color=tm.modcolors[m])\n",
+    "plt.plot(sinlat, np.nanmedian(ua850, axis=0), 'k', linewidth=3)\n",
+    "\n",
+    "plt.xlim(-0.98, 0.98), plt.ylim(-10, 15)\n",
+    "ax.xaxis.set_ticks([-0.866, -0.5, 0, 0.5, 0.866])\n",
+    "ax.xaxis.set_ticklabels(['60S', '30S', 'Eq', '30N', '60N'], fontsize=10)\n",
+    "ax.yaxis.set_ticks([-10, -5, 0, 5, 10, 15])\n",
+    "ax.yaxis.set_ticklabels([-10, -5, 0, 5, 10, 15], fontsize=10)\n",
+    "plt.title('Zonal wind at 850 hPa', fontsize=14)\n",
+    "plt.ylabel('m/s', fontsize=12)\n",
+    "plt.text(0.02, 0.95, 'd)', fontsize=14, ha='left', va='center', transform=ax.transAxes, backgroundcolor='white')\n",
+    "\n",
+    "ax = plt.subplot(3, 2, 5)\n",
+    "plt.xlim(0, 1), plt.ylim(0, 1)\n",
+    "plt.axis('off')\n",
+    "ystart=1.0\n",
+    "delta=0.1\n",
+    "for m in range(tm.nmod):\n",
+    "    if np.int(tm.modnumbers[m])<4:\n",
+    "        plt.text(0.15, ystart-delta*np.float(tm.modnumbers[m]), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<7:\n",
+    "        plt.text(0.55, ystart-delta*(np.float(tm.modnumbers[m])-3), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<10:\n",
+    "        plt.text(0.95, ystart-delta*(np.float(tm.modnumbers[m])-6), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<13:\n",
+    "        plt.text(1.35, ystart-delta*(np.float(tm.modnumbers[m])-9), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "    elif np.int(tm.modnumbers[m])<15:\n",
+    "        plt.text(1.75, ystart-delta*(np.float(tm.modnumbers[m])-12), tm.modnames_4plots[m], color=tm.modcolors[m], fontsize=14)\n",
+    "plt.text(1.75, ystart-delta*3, 'Model median', color='k', fontweight='bold', fontsize=14)\n",
+    "    \n",
+    "plt.tight_layout\n",
+    "plt.savefig('figs/corrigendumpaper_figure9.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_makepostdata.ipynb b/corrigendum-james-2019/corrigendumpaper_makepostdata.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..330c64597e259eebb359c8c5f09f6a1d10f58e85
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_makepostdata.ipynb
@@ -0,0 +1,328 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Prepare netcdf files with postdata for easier analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load data and save to npz files"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "single-level global-mean time-mean data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_store_data_gmtm(var, exp):\n",
+    "    data = tm.get_gmtm(exp=exp, var=var)\n",
+    "    np.savez_compressed('./postdata_npz/'+var+'_'+exp+'.fldmean.timmean', **{var: data})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Working on: pr aquaControlTRACMIP\n",
+      "Working on: ts aquaControlTRACMIP\n",
+      "Working on: pr aqua4xCO2TRACMIP\n",
+      "Working on: ts aqua4xCO2TRACMIP\n",
+      "Working on: pr landControlTRACMIP\n",
+      "Working on: ts landControlTRACMIP\n",
+      "Working on: pr land4xCO2TRACMIP\n",
+      "Working on: ts land4xCO2TRACMIP\n",
+      "Working on: pr landOrbitTRACMIP\n",
+      "Working on: ts landOrbitTRACMIP\n"
+     ]
+    }
+   ],
+   "source": [
+    "for exp in ['aquaControlTRACMIP', 'aqua4xCO2TRACMIP', 'landControlTRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "    for var in ['pr', 'ts']:\n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_gmtm(var, exp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Working on: rsds aqua4xC02TRACMIP\n",
+      "Working on: rsdscs aqua4xC02TRACMIP\n",
+      "Working on: rsus aqua4xC02TRACMIP\n",
+      "Working on: rsuscs aqua4xC02TRACMIP\n"
+     ]
+    }
+   ],
+   "source": [
+    "#for exp in ['aquaControlTRACMIP']:\n",
+    "for exp in ['aqua4xC02TRACMIP']:    \n",
+    "    for var in ['rsds', 'rsdscs', 'rsus', 'rsuscs']:    \n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_gmtm(var, exp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "single-level lat-lon monthly-mean data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_store_data_mm(var, exp):\n",
+    "    data = tm.get_mm(exp=exp, var=var)\n",
+    "    np.savez_compressed('./postdata_npz/'+var+'_'+exp+'.ymonmean', **{var: data})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for exp in ['aquaControlTRACMIP', 'aqua4xCO2TRACMIP', 'landControlTRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "    for var in ['pr', 'ts']:       \n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_mm(var, exp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "single-level zonal-mean monthly-mean data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_store_data_zmmm(var, exp):\n",
+    "    data = tm.get_zmmm(exp=exp, var=var)\n",
+    "    np.savez_compressed('./postdata_npz/'+var+'_'+exp+'.zonmean.ymonmean', **{var: data})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for exp in ['aquaControlTRACMIP', 'aqua4xCO2TRACMIP', 'landControlTRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "    for var in ['rsdt']:\n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_zmmm(var, exp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "single-level time-mean data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_store_data_tm(var, exp):\n",
+    "    data = tm.get_tm(exp=exp, var=var)\n",
+    "    np.savez_compressed('./postdata_npz/'+var+'_'+exp+'.timmean', **{var: data})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Working on: rsdscs aqua4xCO2TRACMIP\n",
+      "Working on: rsuscs aqua4xCO2TRACMIP\n"
+     ]
+    }
+   ],
+   "source": [
+    "#for exp in ['aquaControlTRACMIP', 'aqua4xCO2TRACMIP', 'landControlTRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "for exp in ['aqua4xCO2TRACMIP']:\n",
+    "    #for var in ['pr', 'hfls', 'hfss', 'rlus', 'rlds', 'rsdt', 'rsds', 'rsus', 'ts', 'evspsbl']:\n",
+    "    for var in ['rsdscs', 'rsuscs']:\n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_tm(var, exp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "pressure-level zonal-mean time-mean data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_store_data_zmtm3d(var, exp):\n",
+    "    data = tm.get_zmtm3d(exp=exp, var=var)\n",
+    "    np.savez_compressed('./postdata_npz/'+var+'_'+exp+'.zonmean.timmean', **{var: data})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for exp in ['aquaControlTRACMIP', 'aqua4xCO2TRACMIP', 'landControlTRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "    for var in ['ua', 'va', 'ta']:\n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_zmtm3d(var, exp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "single-level daily data for last 10 days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_store_data_day_last10days(var, exp):\n",
+    "    data = tm.get_day_last10days(exp=exp, var=var)\n",
+    "    np.savez_compressed('./postdata_npz/'+var+'_'+exp+'.day.last10days', **{var: data})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for exp in ['aquaControlTRACMIP', 'aqua4xCO2TRACMIP', 'landControlTRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "    #for var in ['tasmax', 'tasmin', 'tas']:    \n",
+    "    for var in ['tasmax', 'tasmin']:   \n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_day_last10days(var, exp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "single-level 3hr data for last 10 days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_and_store_data_3hr_last10days(var, exp):\n",
+    "    data = tm.get_3hr_last10days(exp=exp, var=var)\n",
+    "    np.savez_compressed('./postdata_npz/'+var+'_'+exp+'.3hr.last10days', **{var: data})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#for exp in ['aquaControlTRACMIP', 'aqua4xCO2TRACMIP', 'landControlTRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "for exp in ['aqua4xCO2TRACMIP', 'land4xCO2TRACMIP', 'landOrbitTRACMIP']:\n",
+    "    for var in ['ts', 'tas']:\n",
+    "        print('Working on:', var, exp)\n",
+    "        load_and_store_data_3hr_last10days(var, exp)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_sanitychecks_landevaporation.ipynb b/corrigendum-james-2019/corrigendumpaper_sanitychecks_landevaporation.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..f7b25fa1b028afb95321530c648fa6e279de251c
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_sanitychecks_landevaporation.ipynb
@@ -0,0 +1,153 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sanity checks for TRACMIP ESGF data: evaporative resistance over land"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We verify that evaporation over land is reduced.\n",
+    "\n",
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE. The postprocessed data from the directory postdata_npz is used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "\n",
+    "# my module functions for tracmip data: plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load turbulent surface fluxes hfls and hfss"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_turbulent_sfcfluxes(exp):\n",
+    "    var='hfss'; _hfss = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    var='hfls'; _hfls = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    # note: hfls is missing in AM2 (modelindex=0), so need to use evspsbl*L instead\n",
+    "    var='evspsbl'; _evspsbl = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    _hfls[0] =  2.5008e6*np.copy(_evspsbl[0])\n",
+    "    # note: for LMDZ5A (modelindex=8), hfss and hfls need to be multiplied by -1\n",
+    "    _hfss[8] = -1*np.copy(_hfss[8])\n",
+    "    _hfls[8] = -1*np.copy(_hfls[8])    \n",
+    "    return [_hfls, _hfss]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "aqct = get_turbulent_sfcfluxes(exp='aquaControlTRACMIP')\n",
+    "aq4x = get_turbulent_sfcfluxes(exp='aqua4xCO2TRACMIP')\n",
+    "ldct = get_turbulent_sfcfluxes(exp='landControlTRACMIP')\n",
+    "ld4x = get_turbulent_sfcfluxes(exp='land4xCO2TRACMIP')\n",
+    "ldor = get_turbulent_sfcfluxes(exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot lat-lon time-mean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_bowenratio_timemean(data, exp):\n",
+    "    _clev=0.6*np.linspace(-1,1,21)\n",
+    "    plt.figure(figsize=(20, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c=plt.contourf(tm.lonint, sinlat, data[1][m]/data[0][m], _clev, cmap=cm.RdBu_r)\n",
+    "        plt.xlabel('lon'); plt.ylabel('sin(lat)')\n",
+    "        plt.title('Bowen ratio '+tm.modnames[m]+' '+exp)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    plt.colorbar(c, extend='both')\n",
+    "    plt.savefig('./figs/bowenratio_'+exp+'_timemean.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_bowenratio_timemean(aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_bowenratio_timemean(aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_bowenratio_timemean(ldct, exp='landControlTRACMIP')\n",
+    "makeplot_bowenratio_timemean(ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_bowenratio_timemean(ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_sanitychecks_oceanqflux.ipynb b/corrigendum-james-2019/corrigendumpaper_sanitychecks_oceanqflux.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..75bfa73ddfd3c34d4521e55640abe3cdf20fdbb3
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_sanitychecks_oceanqflux.ipynb
@@ -0,0 +1,292 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sanity checks for TRACMIP ESGF data: ocean q-flux"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We verify that ocean q-flux was specified properly, including the changes needed over land and the associated adjustment over the oceans.\n",
+    "\n",
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE. The postprocessed data from the directory postdata_npz is used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "\n",
+    "# my module functions for tracmip data: plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compute ocean q-flux from surface fields"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_oceanqflux(exp):\n",
+    "    var='rsds'; _rsds = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    var='rsus'; _rsus = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    var='rlds'; _rlds = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    var='rlus'; _rlus = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    var='hfss'; _hfss = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    var='hfls'; _hfls = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    # note: hfls is missing in AM2 (modelindex=0), so need to use evspsbl*L instead\n",
+    "    var='evspsbl'; _evspsbl = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    _hfls[0] =  2.5008e6*np.copy(_evspsbl[0])\n",
+    "    # note: for LMDZ5A (modelindex=8), hfss and hfls need to be multiplied by -1\n",
+    "    _hfss[8] = -1*np.copy(_hfss[8])\n",
+    "    _hfls[8] = -1*np.copy(_hfls[8])    \n",
+    "    _qflux = -1*(_rsds-_rsus+_rlds-_rlus-_hfss-_hfls)\n",
+    "    return _qflux"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "aqct = get_oceanqflux(exp='aquaControlTRACMIP')\n",
+    "aq4x = get_oceanqflux(exp='aqua4xCO2TRACMIP')\n",
+    "ldct = get_oceanqflux(exp='landControlTRACMIP')\n",
+    "ld4x = get_oceanqflux(exp='land4xCO2TRACMIP')\n",
+    "ldor = get_oceanqflux(exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot zonal-mean time-mean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_qflux_zonalmeantimemean(data, exp):\n",
+    "    plt.figure(figsize=(20, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        plt.plot(sinlat, np.nanmean(data[m], axis=1), color=tm.modcolors[m])\n",
+    "        plt.xlabel('sin(lat)')\n",
+    "        plt.title(tm.modnames[m]+' '+exp)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    modmedian = np.nanmedian(np.nanmean(data, axis=2), axis=0)\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.plot(sinlat, np.nanmean(data[m], axis=1) - modmedian, color=tm.modcolors[m])\n",
+    "        plt.xlabel('sin(lat)')\n",
+    "    plt.title('Difference from model median')\n",
+    "    plt.savefig('./figs/qflux_fromsfcbalance_'+exp+'_zonalmeantimemean.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_qflux_zonalmeantimemean(aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_qflux_zonalmeantimemean(aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_qflux_zonalmeantimemean(ldct, exp='landControlTRACMIP')\n",
+    "makeplot_qflux_zonalmeantimemean(ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_qflux_zonalmeantimemean(ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot lat-lon time-mean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_qflux_timemean(data, exp):\n",
+    "    _clev=55*np.linspace(-1,1,21)\n",
+    "    plt.figure(figsize=(20, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        plt.contourf(tm.lonint, sinlat, data[m], _clev, cmap=cm.RdBu_r)\n",
+    "        plt.xlabel('lon'); plt.ylabel('sin(lat)')\n",
+    "        plt.title(tm.modnames[m]+' '+exp)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    modmedian = np.nanmedian(data, axis=0)\n",
+    "    c=plt.contourf(tm.lonint, sinlat, modmedian, _clev, cmap=cm.RdBu_r)\n",
+    "    plt.colorbar(c)\n",
+    "    plt.title('model median')\n",
+    "    plt.savefig('./figs/qflux_fromsfcbalance_'+exp+'_timemean.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_qflux_timemean(aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_qflux_timemean(aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_qflux_timemean(ldct, exp='landControlTRACMIP')\n",
+    "makeplot_qflux_timemean(ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_qflux_timemean(ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot lat-lon time-mean difference between aquaControlTRACMIP and landControlTRACMIP\n",
+    "The loss of q-flux over land should be compensated by a uniform reduction over the ocean."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_qflux_timemean_diffbetween_2experiments(data1, data2, exp1, exp2):\n",
+    "    _clev=2*np.linspace(-1,1,21)\n",
+    "    plt.figure(figsize=(20, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c=plt.contourf(tm.lonint, sinlat, data1[m]-data2[m], _clev, cmap=cm.RdBu_r)\n",
+    "        plt.xlabel('lon'); plt.ylabel('sin(lat)')\n",
+    "        plt.title(tm.modnames[m]+'\\n'+exp1+'-'+exp2)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    plt.colorbar(c)\n",
+    "    plt.savefig('./figs/qflux_fromsfcbalance_timemean_differencebetween_'+exp1+'_and_'+exp2+'.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_qflux_timemean_diffbetween_2experiments(ldct, aqct, exp1='landControlTRACMIP', exp2='aquaControlTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compute global-mean ocean q-flux"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "area1d = np.cos(tm.latint*np.pi/180.0)/np.nansum(np.cos(tm.latint*np.pi/180.0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[-0.104542   -0.01833922 -0.06425127  0.02948966 -0.01464295  0.01449688\n",
+      " -0.01418261 -0.0956366  -0.34217053 -0.0480867  -0.02260238 -0.27858554\n",
+      " -0.1375982   0.28873738]\n",
+      "[-0.18287356 -0.44149335  0.00083339  0.04859696 -0.14079044 -0.25510074\n",
+      " -0.05838398 -0.01165422 -0.30457108 -0.04545856 -0.04437701 -0.01714939\n",
+      " -0.01018671  0.2301976 ]\n",
+      "[ 0.09271438 -0.01140662 -0.082736    0.06271519  0.02206754  0.03730252\n",
+      " -0.57423683  0.         -0.40571721 -0.02177817 -0.01825308 -0.27750632\n",
+      " -0.21813612  0.32004046]\n",
+      "[-0.04081999 -0.03405253  0.0350311   0.04290316 -0.00105017 -0.2061685\n",
+      " -0.59961464  0.         -0.25588921 -0.06293858 -0.06864916 -0.03796863\n",
+      " -0.00610484  0.25285989]\n",
+      "[ 0.         -0.14874691 -0.07082646  0.          0.01544996  0.07710118\n",
+      " -0.62715595  0.         -0.40387768 -0.04685463 -0.0061285  -0.26534664\n",
+      " -0.23239195  0.3102811 ]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(np.nansum(np.nanmean(aqct, axis=2)*area1d, axis=1))\n",
+    "print(np.nansum(np.nanmean(aq4x, axis=2)*area1d, axis=1))\n",
+    "print(np.nansum(np.nanmean(ldct, axis=2)*area1d, axis=1))\n",
+    "print(np.nansum(np.nanmean(ld4x, axis=2)*area1d, axis=1))\n",
+    "print(np.nansum(np.nanmean(ldor, axis=2)*area1d, axis=1))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_sanitychecks_rsdt.ipynb b/corrigendum-james-2019/corrigendumpaper_sanitychecks_rsdt.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..7e18f21574917cca026aa95dde689031bb6eb65a
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_sanitychecks_rsdt.ipynb
@@ -0,0 +1,262 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sanity checks for TRACMIP ESGF data: insolation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We verify that insolation rsdt was setup properly.\n",
+    "\n",
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE. The postprocessed data from the directory postdata_npz is used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "\n",
+    "# my module functions for tracmip data: plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "var  = 'rsdt'\n",
+    "aqct = np.array(np.load('./postdata_npz/'+var+'_aquaControlTRACMIP.zonmean.ymonmean.npz')[var])\n",
+    "aq4x = np.array(np.load('./postdata_npz/'+var+'_aqua4xCO2TRACMIP.zonmean.ymonmean.npz')[var])\n",
+    "ldct = np.array(np.load('./postdata_npz/'+var+'_landControlTRACMIP.zonmean.ymonmean.npz')[var])\n",
+    "ld4x = np.array(np.load('./postdata_npz/'+var+'_land4xCO2TRACMIP.zonmean.ymonmean.npz')[var])\n",
+    "ldor = np.array(np.load('./postdata_npz/'+var+'_landOrbitTRACMIP.zonmean.ymonmean.npz')[var])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "month  = np.arange(1, 13)\n",
+    "sinlat = np.sin(tm.latint*np.pi/180)\n",
+    "\n",
+    "clev   = [0, 50, 100, 150, 200, 350, 400, 450, 500, 550]\n",
+    "dclev  = 10*np.linspace(-1,1,11)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Seasonal cycle of zonal-mean insolation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_seasonal_rsdt(data, exp):\n",
+    "    plt.figure(figsize=(20, 20), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c = plt.contourf(month, sinlat, np.transpose(data[m]), clev, cmap=cm.OrRd) \n",
+    "        plt.title(tm.modnames[m]+' '+exp)\n",
+    "        plt.xlabel('month'); plt.ylabel('sin(lat)')\n",
+    "    # model median    \n",
+    "    plt.subplot(3,5,15)\n",
+    "    c = plt.contourf(month, sinlat, np.transpose(np.nanmedian(data, axis=0)), clev, cmap=cm.OrRd) \n",
+    "    plt.colorbar(c); plt.title('Model Median'+' '+exp)\n",
+    "    plt.xlabel('month'); plt.ylabel('sin(lat)')    \n",
+    "    plt.savefig('./figs/rsdt'+'_'+exp+'.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_seasonal_rsdt(aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_seasonal_rsdt(aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_seasonal_rsdt(ldct, exp='landControlTRACMIP')\n",
+    "makeplot_seasonal_rsdt(ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_seasonal_rsdt(ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_seasonal_rsdt_diff2modelmedian(data, exp):\n",
+    "    plt.figure(figsize=(20, 20), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "    modmedian = np.transpose(np.nanmedian(data, axis=0))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c = plt.contourf(month, sinlat, \n",
+    "                         np.transpose(data[m])-modmedian, dclev, cmap=cm.OrRd) \n",
+    "        plt.title(tm.modnames[m])\n",
+    "        plt.title(tm.modnames[m]+' '+exp)\n",
+    "        plt.xlabel('month'); plt.ylabel('sin(lat)')\n",
+    "    # plot colorbar\n",
+    "    plt.subplot(3,5,15), plt.colorbar(c)\n",
+    "    plt.savefig('./figs/rsdt'+'_'+exp+'_diff2modelmedian.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_seasonal_rsdt_diff2modelmedian(aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_seasonal_rsdt_diff2modelmedian(aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_seasonal_rsdt_diff2modelmedian(ldct, exp='landControlTRACMIP')\n",
+    "makeplot_seasonal_rsdt_diff2modelmedian(ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_seasonal_rsdt_diff2modelmedian(ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Change of insolation in landOrbitTRACMIP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_seasonal_rsdt_diffbetween2exp(data1, data2, exp1, exp2):\n",
+    "    _dclev  = 24*np.linspace(-1,1,11)\n",
+    "    plt.figure(figsize=(20, 20), dpi=80, facecolor='w', edgecolor='k' )\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c = plt.contourf(month, sinlat, \n",
+    "                         np.transpose(data1[m]-data2[m]), _dclev, cmap=cm.RdBu_r) \n",
+    "        plt.title(tm.modnames[m]+'\\n'+exp1+'-'+exp2)\n",
+    "        plt.xlabel('month'); plt.ylabel('sin(lat)')\n",
+    "    # plot colorbar\n",
+    "    plt.subplot(3,5,15)\n",
+    "    c = plt.contourf(month, sinlat, \n",
+    "                     np.transpose(np.nanmedian(data1, axis=0)-np.nanmedian(data2, axis=0)),\n",
+    "                     _dclev, cmap=cm.RdBu_r) \n",
+    "    plt.title('Model Median:'+exp1+'-'+exp2)\n",
+    "    plt.xlabel('month'); plt.ylabel('sin(lat)')    \n",
+    "    plt.colorbar(c)\n",
+    "    plt.savefig('./figs/rsdt'+'_diffbetween_'+exp1+'_and_'+exp2+'.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_seasonal_rsdt_diffbetween2exp(ldor, ldct, exp1='landOrbitTRACMIP', exp2='landControlTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Time-mean zonal-mean insolation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_zonalmeantimemean_rsdt(data, exp=None):\n",
+    "    plt.figure(figsize=(12,4))\n",
+    "    plt.subplot(1,2,1)\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.plot(sinlat, np.mean(data[m], axis=0), color=tm.modcolors[m])\n",
+    "    plt.xlabel('sin(lat)'); plt.ylabel('rsdt, zonal-mean time-mean (W/m2)')\n",
+    "    plt.title(exp)\n",
+    "    plt.subplot(1,2,2)\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.plot(sinlat, np.mean(data[m], axis=0)-np.nanmedian(np.mean(data, axis=1),axis=0), color=tm.modcolors[m])\n",
+    "    plt.xlabel('sin(lat)')\n",
+    "    plt.title('Diff to model median')\n",
+    "    plt.savefig('./figs/rsdt'+'_'+exp+'_zonalmeantimemean.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_zonalmeantimemean_rsdt(aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_zonalmeantimemean_rsdt(aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_zonalmeantimemean_rsdt(ldct, exp='landControlTRACMIP')\n",
+    "makeplot_zonalmeantimemean_rsdt(ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_zonalmeantimemean_rsdt(ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_sanitychecks_sfcalbedo.ipynb b/corrigendum-james-2019/corrigendumpaper_sanitychecks_sfcalbedo.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..290d77cc04759367eb13c060268a949391a7efa0
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_sanitychecks_sfcalbedo.ipynb
@@ -0,0 +1,213 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sanity checks for TRACMIP ESGF data: surface albedo over land"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We verify that surface albedo over land was increased by 0.07 compared to aquaplanet setup.\n",
+    "\n",
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE. The postprocessed data from the directory postdata_npz is used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "\n",
+    "# my module functions for tracmip data: plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load surface albedo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_sfcalbedo(exp):\n",
+    "    var='rsds'; _rsds = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    var='rsus'; _rsus = np.array(np.load('./postdata_npz/'+var+'_'+exp+'.timmean.npz')[var])\n",
+    "    return _rsus/_rsds"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "aqct = get_sfcalbedo(exp='aquaControlTRACMIP')\n",
+    "aq4x = get_sfcalbedo(exp='aqua4xCO2TRACMIP')\n",
+    "ldct = get_sfcalbedo(exp='landControlTRACMIP')\n",
+    "ld4x = get_sfcalbedo(exp='land4xCO2TRACMIP')\n",
+    "ldor = get_sfcalbedo(exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot lat-lon time-mean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_timemean(data, exp):\n",
+    "    _clev=0.1+0.1*np.linspace(-1,1,21)\n",
+    "    plt.figure(figsize=(20, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c=plt.contourf(tm.lonint, sinlat, data[m], _clev, cmap=cm.viridis)\n",
+    "        plt.xlabel('lon'); plt.ylabel('sin(lat)')\n",
+    "        plt.title('Sfc albedo '+tm.modnames[m]+' '+exp)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    plt.colorbar(c, extend='both')\n",
+    "    plt.savefig('./figs/sfcalbedo_'+exp+'_timemean.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_timemean(aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_timemean(aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_timemean(ldct, exp='landControlTRACMIP')\n",
+    "makeplot_timemean(ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_timemean(ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot lat-lon time-mean difference between aquaControlTRACMIP and landControlTRACMIP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_difference_between_2experiments_timemean(data1, data2, exp1, exp2):\n",
+    "    _clev=0.2*np.linspace(-1,1,21)\n",
+    "    plt.figure(figsize=(20, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c=plt.contourf(tm.lonint, sinlat, data1[m]-data2[m], _clev, cmap=cm.RdBu_r)\n",
+    "        plt.xlabel('lon'); plt.ylabel('sin(lat)')\n",
+    "        plt.title('Sfc albedo '+tm.modnames[m]+'\\n'+exp1+'-'+exp2)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    plt.colorbar(c, extend='both')\n",
+    "    plt.savefig('./figs/sfcalbedo_timemean_differencebetween_'+exp1+'_and_'+exp2+'.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_difference_between_2experiments_timemean(ldct, aqct, exp1='landControlTRACMIP', exp2='aquaControlTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot surface albedo in CALTECH specifically"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure(figsize=(20,10))\n",
+    "counter=0\n",
+    "for data in [aqct, aq4x, ldct, ld4x, ldor]:\n",
+    "    plt.subplot(2, 3, counter+1)\n",
+    "    clev=0.4+0.05*np.linspace(-1,1,21)\n",
+    "    c=plt.contourf(tm.lonint, sinlat, data[13], clev, cmap=cm.viridis)\n",
+    "    plt.colorbar(c)\n",
+    "    counter=counter+1\n",
+    "plt.subplot(2,3,6)\n",
+    "dclev=0.08*np.linspace(-1,1,21)\n",
+    "c=plt.contourf(tm.lonint, sinlat, (ldct-aqct)[13], dclev, cmap=cm.RdBu_r)\n",
+    "plt.title('CALTECH sfc albedo: landControlTRACMIP-aquaControlTRACMIP')\n",
+    "plt.colorbar()\n",
+    "plt.savefig('./figs/sfcalbedo_timemean_CALTECH_landControlTRACMIP-aquaControlTRACMIP.pdf')\n",
+    "plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_sanitychecks_ts_diurnalcycle.ipynb b/corrigendum-james-2019/corrigendumpaper_sanitychecks_ts_diurnalcycle.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..10e0addafe70bad32a7ff3f65e2d24328f748316
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_sanitychecks_ts_diurnalcycle.ipynb
@@ -0,0 +1,416 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sanity checks for TRACMIP ESGF data: diurnal surface temperature or near-surface air temperature over land"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We verify that the diurnal cycle over land is much stronger than over ocean. This is an expected consequence of decreasing the surface heat capacity over land.\n",
+    "\n",
+    "Data is taken from ESGF copy of TRACMIP at KIT SCC LSDFONLINE. The postprocessed data from the directory postdata_npz is used.\n",
+    "\n",
+    "Note on data availability:\n",
+    "\n",
+    "* no 3hr data for CALTECH (all exp), LMDZ5A (all exp), MetUM-CTL landOrbitTRACMIP, MetUM-ENT landOrbitTRACMIP, MPAS all land, CAM3 aqua4xCO2TRACMIP\n",
+    "* 3hr ts data available for CNRM-AM5 (all exp), MIROC (all exp), ECHAM61 (all exp), ECHAM63 (all exp), MPAS aqua, CAM4 (all exp), CAM3 (all but aqua4xCO2TRACMIP)\n",
+    "* 3hr tas data available for CNRM-AM5 (all exp), MIROC (all exp), ECHAM61 (all exp), ECHAM63 (all exp), MPAS aqua, CAM4 (all exp), CAM3 (all exp but aqua4xCO2TRACMIP), MetUM-CTL (all exp but landOrbitTRACMIP), MetUM-ENT (all exp but landOrbitTRACMIP)\n",
+    "\n",
+    "* we also look at tasmax and tasmin from daily data\n",
+    "\n",
+    "Because of data availability issues, for AM21, CAM5Nor and LMDZ5A custom analysis is made to check the increased diurnal cycle over land."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "\n",
+    "# my module functions for tracmip data: plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sinlat = np.sin(tm.latint*np.pi/180)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load surface temperature and near-surface temperature"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_ts(exp):\n",
+    "    var='ts'\n",
+    "    return np.array(np.load('./postdata_npz/'+var+'_'+exp+'.3hr.last10days.npz')[var])    \n",
+    "def get_tas(exp):\n",
+    "    var='tas'\n",
+    "    return np.array(np.load('./postdata_npz/'+var+'_'+exp+'.3hr.last10days.npz')[var])   \n",
+    "def get_tasmax(exp):\n",
+    "    var='tasmax'\n",
+    "    return np.array(np.load('./postdata_npz/'+var+'_'+exp+'.day.last10days.npz')[var])   \n",
+    "def get_tasmin(exp):\n",
+    "    var='tasmin'\n",
+    "    return np.array(np.load('./postdata_npz/'+var+'_'+exp+'.day.last10days.npz')[var])   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct = get_ts(exp='aquaControlTRACMIP')\n",
+    "ts_aq4x = get_ts(exp='aqua4xCO2TRACMIP')\n",
+    "ts_ldct = get_ts(exp='landControlTRACMIP')\n",
+    "ts_ld4x = get_ts(exp='land4xCO2TRACMIP')\n",
+    "ts_ldor = get_ts(exp='landOrbitTRACMIP')\n",
+    "\n",
+    "tas_aqct = get_tas(exp='aquaControlTRACMIP')\n",
+    "tas_aq4x = get_tas(exp='aqua4xCO2TRACMIP')\n",
+    "tas_ldct = get_tas(exp='landControlTRACMIP')\n",
+    "tas_ld4x = get_tas(exp='land4xCO2TRACMIP')\n",
+    "tas_ldor = get_tas(exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tasmax_aqct = get_tasmax(exp='aquaControlTRACMIP')\n",
+    "tasmax_aq4x = get_tasmax(exp='aqua4xCO2TRACMIP')\n",
+    "tasmax_ldct = get_tasmax(exp='landControlTRACMIP')\n",
+    "tasmax_ld4x = get_tasmax(exp='land4xCO2TRACMIP')\n",
+    "tasmax_ldor = get_tasmax(exp='landOrbitTRACMIP')\n",
+    "\n",
+    "tasmin_aqct = get_tasmin(exp='aquaControlTRACMIP')\n",
+    "tasmin_aq4x = get_tasmin(exp='aqua4xCO2TRACMIP')\n",
+    "tasmin_ldct = get_tasmin(exp='landControlTRACMIP')\n",
+    "tasmin_ld4x = get_tasmin(exp='land4xCO2TRACMIP')\n",
+    "tasmin_ldor = get_tasmin(exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_latlon_amplitude(data, exp, varname):\n",
+    "    #_clev=0.1+0.1*np.linspace(-1,1,21)\n",
+    "    plt.figure(figsize=(30, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c=plt.contourf(tm.lonint, sinlat, np.max(data[m], axis=0)-np.min(data[m], axis=0), cmap=cm.viridis)\n",
+    "        plt.colorbar(c, extend='both')\n",
+    "        plt.xlabel('lon'); plt.ylabel('sin(lat)')\n",
+    "        #plt.ylim(-0.7,0.7)\n",
+    "        plt.title(varname+' max-min from 3hr data over last 10 days:\\n'+tm.modnames[m]+' '+exp)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    plt.colorbar(c, extend='both')\n",
+    "    plt.savefig('./figs/'+varname+'_dailyamplitude_from3hrdata_'+exp+'.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_latlon_amplitude(ts_aqct, exp='aquaControlTRACMIP', varname='ts')\n",
+    "makeplot_latlon_amplitude(ts_aq4x, exp='aqua4xCO2TRACMIP', varname='ts')\n",
+    "makeplot_latlon_amplitude(ts_ldct, exp='landControlTRACMIP', varname='ts')\n",
+    "makeplot_latlon_amplitude(ts_ld4x, exp='land4xCO2TRACMIP', varname='ts')\n",
+    "makeplot_latlon_amplitude(ts_ldor, exp='landOrbitTRACMIP', varname='ts')\n",
+    "\n",
+    "makeplot_latlon_amplitude(tas_aqct, exp='aquaControlTRACMIP', varname='tas')\n",
+    "makeplot_latlon_amplitude(tas_aq4x, exp='aqua4xCO2TRACMIP', varname='tas')\n",
+    "makeplot_latlon_amplitude(tas_ldct, exp='landControlTRACMIP', varname='tas')\n",
+    "makeplot_latlon_amplitude(tas_ld4x, exp='land4xCO2TRACMIP', varname='tas')\n",
+    "makeplot_latlon_amplitude(tas_ldor, exp='landOrbitTRACMIP', varname='tas')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def makeplot_latlon_tasmax_minus_tasmin(datamax, datamin, exp):\n",
+    "    #_clev=0.1+0.1*np.linspace(-1,1,21)\n",
+    "    plt.figure(figsize=(30, 20))\n",
+    "    for m in range(tm.nmod):\n",
+    "        plt.subplot(3,5,m+1)\n",
+    "        c=plt.contourf(tm.lonint, sinlat, np.nanmean(datamax[m]-datamin[m], axis=0), cmap=cm.viridis)\n",
+    "        plt.colorbar(c, extend='both')\n",
+    "        plt.xlabel('lon'); plt.ylabel('sin(lat)')\n",
+    "        #plt.ylim(-0.7,0.7)\n",
+    "        plt.title('tasmax-tasmin from day data over last 10 days:\\n'+tm.modnames[m]+' '+exp)\n",
+    "    plt.subplot(3,5,15)\n",
+    "    plt.colorbar(c, extend='both')\n",
+    "    plt.savefig('./figs/ts_dailyamplitude_fromdaily_tasmax_tasmin_'+exp+'.pdf')\n",
+    "    plt.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "makeplot_latlon_tasmax_minus_tasmin(tasmax_aqct, tasmin_aqct, exp='aquaControlTRACMIP')\n",
+    "makeplot_latlon_tasmax_minus_tasmin(tasmax_aq4x, tasmin_aq4x, exp='aqua4xCO2TRACMIP')\n",
+    "makeplot_latlon_tasmax_minus_tasmin(tasmax_ldct, tasmin_ldct, exp='landControlTRACMIP')\n",
+    "makeplot_latlon_tasmax_minus_tasmin(tasmax_ld4x, tasmin_ld4x, exp='land4xCO2TRACMIP')\n",
+    "makeplot_latlon_tasmax_minus_tasmin(tasmax_ldor, tasmin_ldor, exp='landOrbitTRACMIP')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Custom analysis for AM21"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There is no tasmax/tasmin data for AM21 landControlTRACMIP on ESGF, and no 3hr ts or tas data. There is no 3hr data because that data was found to only contain less than a year of timesteps, and so it was not cmorized. Yet, we have copied the last timesteps of the AM21 landControlTRACMIP 3hr ts data fromt the UMiami server\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def check_am21_land():\n",
+    "    import xarray as xr\n",
+    "    # load single day (8 timesteps) to check diurnal cycle\n",
+    "    path='/home/fd8940/Dropbox/Projects/current/Tracmip/analysis/python3/corrigendum_paper/postdata_umiami/'\n",
+    "    ts_ldct = xr.open_dataset(path+'TRACMIP_AM21_LandControl_8xdaily.ts.last100timesteps.nc')['ts'][0:8].values\n",
+    "    ts_ld4x = xr.open_dataset(path+'TRACMIP_AM21_Land4xCO2_8xdaily.ts.last100timesteps.nc')['ts'][0:8].values\n",
+    "    # plotting\n",
+    "    plt.figure(figsize=(18,6))\n",
+    "    plt.subplot(1,2,1)\n",
+    "    c=plt.contourf(np.max(ts_ldct, axis=0)-np.min(ts_ldct, axis=0)); plt.colorbar(c)\n",
+    "    plt.title('AM21 landControlTRACMIP diurnal ts amplitude\\n based on 3hr ts of single day')\n",
+    "    plt.subplot(1,2,2)\n",
+    "    c=plt.contourf(np.max(ts_ld4x, axis=0)-np.min(ts_ld4x, axis=0)); plt.colorbar(c)\n",
+    "    plt.title('AM21 land4xCO2TRACMIP diurnal ts amplitude\\n based on 3hr ts of single day')\n",
+    "    plt.savefig('./figs/ts_diurnalcycle_am21_landControlTRACMIP_land4xCO2TRACMIP.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1296x432 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "check_am21_land()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Custom analysis for LMDZ5A"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The UMiami server has daily tasmin and tasmax for LMDZ5A, but they were inadvertendly not included in the cmorizing and hence are not on ESGF."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def check_lmdz5a_land():\n",
+    "    import xarray as xr\n",
+    "\n",
+    "    path='/home/fd8940/Dropbox/Projects/current/Tracmip/analysis/python3/corrigendum_paper/postdata_umiami/'\n",
+    "    tasmax_ldct = xr.open_dataset(path+'tasmax_Aday_IPSL-CM5A_LandControl_r1i1p1_202912.nc')['tasmax'].values\n",
+    "    tasmin_ldct = xr.open_dataset(path+'tasmin_Aday_IPSL-CM5A_LandControl_r1i1p1_202912.nc')['tasmin'].values\n",
+    "    tasmax_ld4x = xr.open_dataset(path+'tasmax_Aday_IPSL-CM5A_Land4xCO2_r1i1p1_202912.nc')['tasmax'].values\n",
+    "    tasmin_ld4x = xr.open_dataset(path+'tasmin_Aday_IPSL-CM5A_Land4xCO2_r1i1p1_202912.nc')['tasmin'].values\n",
+    "    tasmax_ldor = xr.open_dataset(path+'tasmax_Aday_IPSL-CM5A_LandOrbit_r1i1p1_202912.nc')['tasmax'].values\n",
+    "    tasmin_ldor = xr.open_dataset(path+'tasmin_Aday_IPSL-CM5A_LandOrbit_r1i1p1_202912.nc')['tasmin'].values    \n",
+    "    \n",
+    "    # plotting\n",
+    "    plt.figure(figsize=(18,6))\n",
+    "    plt.subplot(1,3,1)\n",
+    "    c=plt.contourf(np.nanmean(tasmax_ldct-tasmin_ldct, axis=0)); plt.colorbar(c)\n",
+    "    plt.title('LMDZ5A landControlTRACMIP diurnal ts amplitude\\n based on day tasmax-tasmin of single month')\n",
+    "    plt.subplot(1,3,2)\n",
+    "    c=plt.contourf(np.nanmean(tasmax_ld4x-tasmin_ld4x, axis=0)); plt.colorbar(c)\n",
+    "    plt.title('LMDZ5A land4xCO2TRACMIP diurnal ts amplitude\\n based on day tasmax-tasmin of single month')\n",
+    "    plt.subplot(1,3,3)\n",
+    "    c=plt.contourf(np.nanmean(tasmax_ldor-tasmin_ldor, axis=0)); plt.colorbar(c)\n",
+    "    plt.title('LMDZ5A landOrbitTRACMIP diurnal ts amplitude\\n based on day tasmax-tasmin of single month')    \n",
+    "    plt.savefig('./figs/tas_diurnalcycle_lmdz5a_landControlTRACMIP_land4xCO2TRACMIP_landOrbitTRACMIP.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1296x432 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "check_lmdz5a_land()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Custom analysis for CAM5Nor"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The UMiami server has daily tasmin and tasmax for CAM5Nor LandControlTRACMIP and Land4xCO2TRACMIP, \n",
+    "but tasmin was inadvertendly not included in the cmorizing and hence is not on ESGF."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def check_cam5nor_land():\n",
+    "    import xarray as xr\n",
+    "\n",
+    "    path='/home/fd8940/Dropbox/Projects/current/Tracmip/analysis/python3/corrigendum_paper/postdata_umiami/'\n",
+    "    tasmax_ldct = xr.open_dataset(path+'CAM5Nor_tasmax_day_LandControl_amip_r1i1p1_008512.nc')['tasmax'].values\n",
+    "    tasmin_ldct = xr.open_dataset(path+'CAM5Nor_tasmin_day_LandControl_amip_r1i1p1_008512.nc')['tasmin'].values\n",
+    "    tasmax_ld4x = xr.open_dataset(path+'CAM5Nor_tasmax_day_Land4xCO2_amip_r1i1p1_012512.nc')['tasmax'].values\n",
+    "    tasmin_ld4x = xr.open_dataset(path+'CAM5Nor_tasmin_day_Land4xCO2_amip_r1i1p1_012512.nc')['tasmin'].values\n",
+    "    \n",
+    "    # plotting\n",
+    "    plt.figure(figsize=(18,6))\n",
+    "    plt.subplot(1,2,1)\n",
+    "    c=plt.contourf(np.nanmean(tasmax_ldct-tasmin_ldct, axis=0)); plt.colorbar(c)\n",
+    "    plt.title('CAM5Nor landControlTRACMIP diurnal ts amplitude\\n based on day tasmax-tasmin of single month')\n",
+    "    plt.subplot(1,2,2)\n",
+    "    c=plt.contourf(np.nanmean(tasmax_ld4x-tasmin_ld4x, axis=0)); plt.colorbar(c)\n",
+    "    plt.title('CAM5Nor land4xCO2TRACMIP diurnal ts amplitude\\n based on day tasmax-tasmin of single month')   \n",
+    "    plt.savefig('./figs/tas_diurnalcycle_cam5nor_landControlTRACMIP_land4xCO2TRACMIP.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1296x432 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "check_cam5nor_land()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/corrigendum-james-2019/corrigendumpaper_table4.ipynb b/corrigendum-james-2019/corrigendumpaper_table4.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..f9530290b3be37118996f7bf30fad419e3e05fd5
--- /dev/null
+++ b/corrigendum-james-2019/corrigendumpaper_table4.ipynb
@@ -0,0 +1,218 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Reproduce table 4 of 2016 JAMES Tracmip introduction paper for corrigendum paper"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data is from postprocessed npz files based on ESGF copy of TRACMIP at KIT SCC LSDFONLINE."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# my module functions to load tracmip data, plot colors, model names etc.\n",
+    "import tracmip as tm\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Global-mean surface temperature data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts_aqct_gm = np.array(np.load('./postdata_npz/ts_aquaControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_aq4x_gm = np.array(np.load('./postdata_npz/ts_aqua4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])\n",
+    "ts_ldct_gm = np.array(np.load('./postdata_npz/ts_landControlTRACMIP.fldmean.timmean.npz')['ts'])\n",
+    "ts_ld4x_gm = np.array(np.load('./postdata_npz/ts_land4xCO2TRACMIP.fldmean.timmean.npz'  )['ts'])\n",
+    "ts_ldor_gm = np.array(np.load('./postdata_npz/ts_landOrbitTRACMIP.fldmean.timmean.npz'  )['ts'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Precipitation data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_aqct = np.array(np.load('./postdata_npz/pr_aquaControlTRACMIP.timmean.npz')['pr'])\n",
+    "pr_aq4x = np.array(np.load('./postdata_npz/pr_aqua4xCO2TRACMIP.timmean.npz'  )['pr'])\n",
+    "pr_ldct = np.array(np.load('./postdata_npz/pr_landControlTRACMIP.timmean.npz')['pr'])\n",
+    "pr_ld4x = np.array(np.load('./postdata_npz/pr_land4xCO2TRACMIP.timmean.npz'  )['pr'])\n",
+    "pr_ldor = np.array(np.load('./postdata_npz/pr_landOrbitTRACMIP.timmean.npz'  )['pr'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Calculate time-mean ITCZ from time-mean zonal-mean precip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.append('/home/fd8940/Dropbox/Python3/mymodules')\n",
+    "import atmosphere as atm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "itcz_aqct = np.zeros(tm.nmod)+np.nan\n",
+    "itcz_aq4x = np.zeros(tm.nmod)+np.nan\n",
+    "itcz_ldct = np.zeros(tm.nmod)+np.nan\n",
+    "itcz_ld4x = np.zeros(tm.nmod)+np.nan\n",
+    "itcz_ldor = np.zeros(tm.nmod)+np.nan\n",
+    "for m in range(tm.nmod):\n",
+    "    itcz_aqct[m] = atm.get_itczposition(np.nanmean(pr_aqct[m],axis=1), tm.latint, 30, 0.1)\n",
+    "    itcz_aq4x[m] = atm.get_itczposition(np.nanmean(pr_aq4x[m],axis=1), tm.latint, 30, 0.1)\n",
+    "    itcz_ldct[m] = atm.get_itczposition(np.nanmean(pr_ldct[m],axis=1), tm.latint, 30, 0.1)\n",
+    "    itcz_ld4x[m] = atm.get_itczposition(np.nanmean(pr_ld4x[m],axis=1), tm.latint, 30, 0.1)\n",
+    "    itcz_ldor[m] = atm.get_itczposition(np.nanmean(pr_ldor[m],axis=1), tm.latint, 30, 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Filter values so as to set all values from faulty simulations/models to nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for m in range(tm.nmod):\n",
+    "    if not m in tm.modlist_aqct:\n",
+    "        ts_aqct_gm[m]=np.nan\n",
+    "        itcz_aqct[m]=np.nan\n",
+    "    if not m in tm.modlist_aq4x:\n",
+    "        ts_aq4x_gm[m]=np.nan\n",
+    "        itcz_aq4x[m]=np.nan\n",
+    "    if not m in tm.modlist_ldct:\n",
+    "        ts_ldct_gm[m]=np.nan\n",
+    "        itcz_ldct[m]=np.nan\n",
+    "    if not m in tm.modlist_ld4x:\n",
+    "        ts_ld4x_gm[m]=np.nan\n",
+    "        itcz_ld4x[m]=np.nan\n",
+    "    if not m in tm.modlist_ldor:\n",
+    "        ts_ldor_gm[m]=np.nan\n",
+    "        itcz_ldor[m]=np.nan"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Print to screen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1 & AM21 & 300.7 / 10.6 \\degree{} & nan / nan \\degree{} & 6.7 / -0.4 \\degree{} & nan / nan \\degree{} & nan / nan \\degree{} \\\n",
+      "2 & CAM3 & 293.8 / 1.9 \\degree{} & 293.4 / 1.6 \\degree{} & 3.7 / -0.3 \\degree{} & 4.0 / 0.2 \\degree{} & -0.2 / -0.4 \\degree{} \\\n",
+      "3 & CAM4 & 295.1 / 2.8 \\degree{} & 294.4 / 2.3 \\degree{} & 4.7 / 1.1 \\degree{} & 4.7 / 0.7 \\degree{} & 0.1 / -0.3 \\degree{} \\\n",
+      "4 & CAM5Nor & 290.4 / 4.0 \\degree{} & 288.9 / 3.1 \\degree{} & 3.1 / 0.4 \\degree{} & 3.2 / 0.4 \\degree{} & nan / nan \\degree{} \\\n",
+      "5 & CNRM-AM5 & 295.2 / 1.7 \\degree{} & 294.7 / 1.7 \\degree{} & 6.7 / 2.4 \\degree{} & 5.4 / 1.1 \\degree{} & 0.1 / -0.4 \\degree{} \\\n",
+      "6 & ECHAM61 & 295.3 / 4.4 \\degree{} & 294.8 / 3.4 \\degree{} & 9.6 / 7.7 \\degree{} & 8.2 / 5.9 \\degree{} & 0.1 / -0.6 \\degree{} \\\n",
+      "7 & ECHAM63 & 293.7 / 3.5 \\degree{} & nan / nan \\degree{} & 7.8 / 1.5 \\degree{} & nan / nan \\degree{} & nan / nan \\degree{} \\\n",
+      "8 & GISS-ModelE2 & 295.0 / 2.5 \\degree{} & nan / nan \\degree{} & 4.9 / 2.3 \\degree{} & nan / nan \\degree{} & nan / nan \\degree{} \\\n",
+      "9 & LMDZ5A & 292.1 / 4.2 \\degree{} & nan / nan \\degree{} & 7.0 / 4.0 \\degree{} & nan / nan \\degree{} & nan / nan \\degree{} \\\n",
+      "10 & MetUM-CTL & 297.2 / 5.6 \\degree{} & nan / nan \\degree{} & 7.6 / 5.5 \\degree{} & nan / nan \\degree{} & nan / nan \\degree{} \\\n",
+      "11 & MetUM-ENT & 295.6 / 5.2 \\degree{} & nan / nan \\degree{} & 7.2 / 4.1 \\degree{} & nan / nan \\degree{} & nan / nan \\degree{} \\\n",
+      "12 & MIROC5 & 291.4 / 1.9 \\degree{} & 291.4 / 1.8 \\degree{} & 3.8 / 0.1 \\degree{} & 3.8 / 0.0 \\degree{} & 0.0 / -0.4 \\degree{} \\\n",
+      "13 & MPAS & 296.8 / 2.4 \\degree{} & 295.1 / 1.8 \\degree{} & 2.9 / 1.0 \\degree{} & 4.4 / 1.1 \\degree{} & 0.0 / -0.3 \\degree{} \\\n",
+      "14 & CALTECH & 291.3 / 0.7 \\degree{} & 291.1 / 0.6 \\degree{} & 6.5 / 0.0 \\degree{} & 6.5 / 0.1 \\degree{} & 0.0 / -0.1 \\degree{} \\\n",
+      "  & Model median & 295.1 / 3.2 \\degree{} & 293.9 / 1.8 \\degree{} & 6.6 / 1.3 \\degree{} & 4.6 / 0.6 \\degree{} & 0.0 / -0.4 \\degree{} \\\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(0, tm.nmod):\n",
+    "    print(i+1, '&', tm.modnames[i], '&', np.round(ts_aqct_gm[i], decimals=1), '/', np.round(itcz_aqct[i], decimals=1), '\\degree{} &', \\\n",
+    "              np.round(ts_ldct_gm[i], decimals=1), '/', np.round(itcz_ldct[i], decimals=1), '\\degree{} &', \\\n",
+    "              np.round(ts_aq4x_gm[i]-ts_aqct_gm[i], decimals=1), '/', np.round(itcz_aq4x[i]-itcz_aqct[i], decimals=1), '\\degree{} &', \\\n",
+    "              np.round(ts_ld4x_gm[i]-ts_ldct_gm[i], decimals=1), '/', np.round(itcz_ld4x[i]-itcz_ldct[i], decimals=1), '\\degree{} &', \\\n",
+    "              np.round(ts_ldor_gm[i]-ts_ldct_gm[i], decimals=1), '/', np.round(itcz_ldor[i]-itcz_ldct[i], decimals=1), '\\degree{} \\\\')\n",
+    "\n",
+    "print(' ', '&', 'Model median', '&', np.round(np.nanmedian(ts_aqct_gm), decimals=1), '/', np.round(np.nanmedian(itcz_aqct), decimals=1), '\\degree{} &', \\\n",
+    "       np.round(np.nanmedian(ts_ldct_gm), decimals=1), '/', np.round(np.nanmedian(itcz_ldct), decimals=1), '\\degree{} &', \\\n",
+    "       np.round(np.nanmedian((ts_aq4x_gm-ts_aqct_gm)), decimals=1), '/', np.round(np.nanmedian((itcz_aq4x-itcz_aqct)), decimals=1), '\\degree{} &', \\\n",
+    "       np.round(np.nanmedian((ts_ld4x_gm-ts_ldct_gm)), decimals=1), '/', np.round(np.nanmedian((itcz_ld4x-itcz_ldct)), decimals=1), '\\degree{} &', \\\n",
+    "       np.round(np.nanmedian((ts_ldor_gm-ts_ldct_gm)), decimals=1), '/', np.round(np.nanmedian((itcz_ldor-itcz_ldct)), decimals=1), '\\degree{} \\\\')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
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@@ -0,0 +1,537 @@
+\documentclass[letterpaper,10pt]{article}
+
+\usepackage[utf8]{inputenc}
+\usepackage{fullpage}
+\usepackage{natbib}
+\usepackage{graphicx}
+\usepackage{color}
+\usepackage{gensymb}
+\usepackage{amsmath}
+
+% adapt section titles
+\usepackage{titlesec}
+
+
+\usepackage[font=small,labelfont=bf]{caption}
+
+% adapt page setup (margins etc.)
+\textwidth 6.8in   %6.5in
+\oddsidemargin -0.15in 
+\evensidemargin -0.15in
+\textheight = 9.2 in
+\topmargin = -0.1 in
+\headheight = 0.0 in
+\headsep = 0.0 in
+
+%opening
+\title{Sanity checks for TRACMIP ESGF data}
+\author{Aiko Voigt}
+
+\begin{document}
+
+\maketitle
+
+\begin{abstract}
+This document describes the sanity checks done for the TRACMIP ESGF data. This is in preparation for the corrigendum paper.
+\end{abstract}
+
+\section{The big take-home of the sanity checks}
+
+Everything is correctly implemented except for:
+\begin{itemize}
+ \item insolation: CALTECH is 3 months out of phase
+ \item q-flux: not zeroed out over land in ECHAM6.3, some smaller deviation in high-latitudes for some models, CAM3 has suspicous kink in aqua4xCO2TRACMIP near 30 deg N	
+ \item surface albedo: too strong increase over land in LMDZ5A
+ \item evaporative resistence over land: AM21 does not show expected change in Bowen ratio
+ \item land heat capacity: diurnal cycle of temperature shows that MetUM-CTL and MetUM-ENT did not decrease heat capacity over land; can't check for CALTECH because
+       there is no tasmax/tasmin or 3hr data, might look at Rick's metric of summer warming/winter cooling over land as some kind of indication
+\end{itemize}
+
+
+\section{Insolation rsdt}
+
+Take-home points:
+\begin{itemize}
+ \item CALTECH is three months out of phase, but otherwise rsdt seems correct
+ \item there are some smaller differences between models that might have to do with different calendar choices,
+       yet overall rsdt and its changes in landOrbitTRACMIP were implemented properly 
+\end{itemize}
+
+\subsection{Zonal-mean time-mean insolation, and difference from model median}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=0.7\textwidth]{./figs/rsdt_aquaControlTRACMIP_zonalmeantimemean.pdf}\\
+    \includegraphics[width=0.7\textwidth]{./figs/rsdt_aqua4xCO2TRACMIP_zonalmeantimemean.pdf}
+ \end{center}
+ \caption{Zonal-mean time-mean rsdt in aquaControlTRACMIP (top) and aqua4xCO2TRACMIP (bottom). Model colors as in 2016 JAMES paper.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=0.7\textwidth]{./figs/rsdt_landControlTRACMIP_zonalmeantimemean.pdf}\\
+    \includegraphics[width=0.7\textwidth]{./figs/rsdt_land4xCO2TRACMIP_zonalmeantimemean.pdf}\\
+    \includegraphics[width=0.7\textwidth]{./figs/rsdt_landOrbitTRACMIP_zonalmeantimemean.pdf}\\
+ \end{center}
+ \caption{Zonal-mean time-mean rsdt in landControlTRACMIP (top), land4xCO2TRACMIP (middle) and landOrbitTRACMIP (bottom). Model colors as in 2016 JAMES paper.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\subsection{Seasonal cycle of zonal-mean insolation, and difference to model median}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_aquaControlTRACMIP.pdf}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_aquaControlTRACMIP_diff2modelmedian.pdf}
+ \end{center}
+ \caption{rsdt in aquaControlTRACMIP. Upper plot: full values. Lower plot: difference to model median.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_aqua4xCO2TRACMIP.pdf}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_aqua4xCO2TRACMIP_diff2modelmedian.pdf}
+ \end{center}
+ \caption{rsdt in aqua4xCO2TRACMIP. Upper plot: full values. Lower plot: difference to model median.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_landControlTRACMIP.pdf}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_landControlTRACMIP_diff2modelmedian.pdf}
+ \end{center}
+ \caption{rsdt in landControlTRACMIP. Upper plot: full values. Lower plot: difference to model median.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_land4xCO2TRACMIP.pdf}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_land4xCO2TRACMIP_diff2modelmedian.pdf}
+ \end{center}
+ \caption{rsdt in land4xCO2TRACMIP. Upper plot: full values. Lower plot: difference to model median.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_landOrbitTRACMIP.pdf}
+    \includegraphics[width=0.6\textwidth]{./figs/rsdt_landOrbitTRACMIP_diff2modelmedian.pdf}
+ \end{center}
+ \caption{rsdt in landOrbitTRACMIP. Upper plot: full values. Lower plot: difference to model median.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\subsection{Seasonal cycle of zonal-mean insolation: difference between landOrbitTRACMIP and landControlTRACMIP}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/rsdt_diffbetween_landOrbitTRACMIP_and_landControlTRACMIP.pdf}
+ \end{center}
+ \caption{rsdt of landOrbitTRACMIP - landControlTRACMIP.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\section{Ocean heat transport}
+
+Ocean heat transport is inferred from the surface energy balance as:
+\begin{equation}
+ qflux = -1*(rsds-rsus+rlds-rlus-hfss-hfls).
+\end{equation}
+Note that for AM2, hfls is not available, but we use 2.5008e6*evspsbl (constant taken from ICON model hared/mo\_physical\_constants.f90). 
+For LMDZ5A, hfls and hfss must be multiplied by -1, as they are directed
+downward in this model.
+
+Take-home points:
+\begin{itemize}
+ \item ECHAM6.3 did not zero out q-flux over land; this can also be seen in the zonal-mean q-flux
+ \item Otherwise, all models seem to be okay
+ \item Apart from the ECHAM6.3 land simulations, the global-mean time-mean inferred q-flux is 0 within typically 0.3 Wm-2. In ECHAM6.3 land simulations,
+ the global-mean is around -0.6 Wm-2.
+\end{itemize}
+
+\subsection{Zonal-mean time-mean ocean heat transport}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_aquaControlTRACMIP_zonalmeantimemean.pdf}
+ \end{center}
+ \caption{Zonal-mean time-mean ocean heat transport in aquaControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_aqua4xCO2TRACMIP_zonalmeantimemean.pdf}
+ \end{center}
+ \caption{Zonal-mean time-mean ocean heat transport in aqua4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_landControlTRACMIP_zonalmeantimemean.pdf}
+ \end{center}
+ \caption{Zonal-mean time-mean ocean heat transport in landControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_land4xCO2TRACMIP_zonalmeantimemean.pdf}
+ \end{center}
+ \caption{Zonal-mean time-mean ocean heat transport in land4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_landOrbitTRACMIP_zonalmeantimemean.pdf}
+ \end{center}
+ \caption{Zonal-mean time-mean ocean heat transport in landOrbitTRACMIP.}
+\end{figure} 
+
+\clearpage
+
+\subsection{Lat-lon time-mean ocean heat transport}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_aquaControlTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean ocean heat transport in aquaControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_aqua4xCO2TRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean ocean heat transport in aqua4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_landControlTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean ocean heat transport in landControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_land4xCO2TRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean ocean heat transport in land4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/qflux_fromsfcbalance_landOrbitTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean ocean heat transport in landOrbitTRACMIP.}
+\end{figure} 
+
+
+\clearpage
+\newpage
+
+\section{Surface albedo over land}
+
+Surface albedo over land should be increased by 0.07 compared to the ocean albedo. Surface
+albedo is diagnosed by rsus/rsds.
+
+Take-home points:
+\begin{itemize}
+ \item LMDZ5A has too high land albedo increase (by 0.14)
+ \item other models have correct albedo increase over land
+ \item note: CALTECH surface albedo much higher over ocean compared to other models, as this model does not have clouds
+\end{itemize}
+
+
+\subsection{Lat-lon time-mean surface albedo}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/sfcalbedo_aquaControlTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean surface albedo in aquaControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/sfcalbedo_aqua4xCO2TRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean surface albedo in aqua4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/sfcalbedo_landControlTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean surface albedo in landControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/sfcalbedo_land4xCO2TRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean surface albedo in land4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/sfcalbedo_landOrbitTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean surface albedo in landOrbitTRACMIP.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\subsection{Lat-lon time-mean difference between landControlTRACMIP and aquaControlTRACMIP}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/sfcalbedo_timemean_differencebetween_landControlTRACMIP_and_aquaControlTRACMIP.pdf}
+ \end{center}
+ \caption{Time-mean surface albedo in landControlTRACMIP-aquaControlTRACMIP.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\subsection{Special look at CALTECH}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/sfcalbedo_timemean_CALTECH_landControlTRACMIP-aquaControlTRACMIP.pdf}
+ \end{center}
+ \caption{Time-mean surface albedo in all CALTECH simulations.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\section{Evaporative resistance over land: Bowen ratio}
+
+Bowen ratio calculated from hfss and hfls. Note that for LMDZ5A, hfss and hfls need to be multiplied by -1. For AM21 we
+need to use evspsbl for hfls (see section on q-flux).
+
+Take-home points:
+\begin{itemize}
+ \item AM21 does not show expected increase in Bowen ratio over land
+ \item other models have correctly implemented evaporative resistance
+\end{itemize}
+
+\subsection{Lat-lon time-mean Bowen ratio}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/bowenratio_aquaControlTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean Bowen ratio in aquaControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/bowenratio_aqua4xCO2TRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean Bowen ratio in aqua4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/bowenratio_landControlTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean Bowen ratio in landControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/bowenratio_land4xCO2TRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean Bowen ratio in land4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/bowenratio_landOrbitTRACMIP_timemean.pdf}
+ \end{center}
+ \caption{Time-mean Bowen ratio in landOrbitTRACMIP.}
+\end{figure} 
+
+
+\clearpage
+\newpage
+
+\section{Diurnal cycle over land: land heat capacity}
+
+The shallow slab ocean over land should lead to a much stronger diurnal cycle of ts or tas. This
+has been checked. For most models, this has been done by looking at 3hr data for ts or tas. For some models,
+3hr data was not available, and so daily data for tasmax and tasmin, and the difference thereof, was used.
+
+Take-home points:
+\begin{itemize}
+ \item MetUM-CTL and MetUM-ENT did not properly implement the reduced heat capacity
+ \item for CALTECH we can't check because there is no tasmax/tasmin or 3hr data
+ \item all other models have the increased diurnal cycle (at least for one of the analyis options taken here)
+\end{itemize}
+
+\subsection{Lat-lon diurnal cycle diagnosed based on 3hr ts}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_from3hrdata_aquaControlTRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr ts data in aquaControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_from3hrdata_aqua4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr ts data in aqua4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_from3hrdata_landControlTRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr ts data in landControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_from3hrdata_land4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr ts data in land4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_from3hrdata_landOrbitTRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr ts data in landOrbitTRACMIP.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\subsection{Lat-lon diurnal cycle diagnosed based on 3hr tas}
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/tas_dailyamplitude_from3hrdata_aquaControlTRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr tas data in aquaControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/tas_dailyamplitude_from3hrdata_aqua4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr tas data in aqua4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/tas_dailyamplitude_from3hrdata_landControlTRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr tas data in landControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/tas_dailyamplitude_from3hrdata_land4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr tas data in land4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/tas_dailyamplitude_from3hrdata_landOrbitTRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal cycle from 3hr tas data in landOrbitTRACMIP.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\subsection{Lat-lon daily tasmax - tasmin}
+
+The last 10 days are used. Plotted is the 10-day mean of (tasmax-tasmin).
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_fromdaily_tasmax_tasmin_aquaControlTRACMIP.pdf}
+ \end{center}
+ \caption{tasmax-tasmin from day data in aquaControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_fromdaily_tasmax_tasmin_aqua4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{tasmax-tasmin from day data in aqua4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_fromdaily_tasmax_tasmin_landControlTRACMIP.pdf}
+ \end{center}
+ \caption{tasmax-tasmin from day data in landControlTRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_fromdaily_tasmax_tasmin_land4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{tasmax-tasmin from day data in land4xCO2TRACMIP.}
+\end{figure} 
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_dailyamplitude_fromdaily_tasmax_tasmin_landOrbitTRACMIP.pdf}
+ \end{center}
+ \caption{tasmax-tasmin from day data in landOrbitTRACMIP.}
+\end{figure} 
+
+\clearpage
+\newpage
+
+\subsection{Custom analysis for AM21}
+
+There is no tasmax/tasmin data for AM21 landControlTRACMIP on ESGF, and no 3hr ts or tas data. 
+There is no 3hr data because that data was found to only contain less than a year of timesteps, and so it was not cmorized. 
+Yet, we have copied the last timesteps of the AM21 landControlTRACMIP 3hr ts data from the UMiami server
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/ts_diurnalcycle_am21_landControlTRACMIP_land4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{Diurnal ts cycle for AM21 based on some 3hr data.}
+\end{figure}
+
+\subsection{Custom analysis for LMDZ5A}
+
+The UMiami server has daily tasmin and tasmax for LMDZ5A, but they were inadvertendly not included in the cmorizing and hence are not on ESGF.
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/tas_diurnalcycle_lmdz5a_landControlTRACMIP_land4xCO2TRACMIP_landOrbitTRACMIP.pdf}
+ \end{center}
+ \caption{Mean of day tasmax-tasmin for LMDZ5A from some day data.}
+\end{figure}
+
+\subsection{Custom analysis for CAM5Nor}
+
+The UMiami server has daily tasmin and tasmax for CAM5Nor LandControlTRACMIP and Land4xCO2TRACMIP, 
+but tasmin was inadvertendly not included in the cmorizing and hence is not on ESGF.
+
+\begin{figure}[h!]
+ \begin{center}
+    \includegraphics[width=\textwidth]{./figs/tas_diurnalcycle_cam5nor_landControlTRACMIP_land4xCO2TRACMIP.pdf}
+ \end{center}
+ \caption{Mean of day tasmax-tasmin for CAM5Nor from some day data.}
+\end{figure}
+
+\end{document}
diff --git a/corrigendum-james-2019/tracmip.py b/corrigendum-james-2019/tracmip.py
new file mode 100644
index 0000000000000000000000000000000000000000..6c2bf37fe94c42cae24a42f79fa1665d6dcf8dc3
--- /dev/null
+++ b/corrigendum-james-2019/tracmip.py
@@ -0,0 +1,373 @@
+import netCDF4 as nc
+import numpy as np
+from scipy.interpolate import griddata
+import sys 
+
+# note:
+# the xarray roll command used to shift longitude grid to -180 .. +180 deg lon appears to need xr.__version__ '0.11.3'
+
+# general setup
+
+# number of months to be read in and averaged over --> last 20 years
+nmth = 240
+# latint is the latiudes on which data will be interpolated, likewise for lonint
+latint  = np.linspace(-89.5, 89.5, 180)     
+nlatint = latint.size
+lonint  = np.linspace(-179.0, 179.0, 180)     
+nlonint = lonint.size
+
+# 17 standard CMIP pressure levels in hPa, from surface to top of atmosphere
+lev = np.array([100000,  92500,  85000,  70000,  60000,  50000,  40000,  30000,
+              25000,  20000,  15000,  10000,   7000,   5000,   3000,   2000, 1000])
+
+nlev = lev.size
+
+# list of models
+modnames = ['AM21', 'CAM3', 'CAM4', 'CAM5Nor', 'CNRM-AM5', 'ECHAM61', 'ECHAM63', 'GISS-ModelE2',
+           'LMDZ5A', 'MetUM-CTL', 'MetUM-ENT', 'MIROC5', 'MPAS', 'CALTECH']
+modnames_4plots = ['AM2.1', 'CAM3', 'CAM4', 'CAM5Nor', 'CNRM-AM5', 'ECHAM6.1', 'ECHAM6.3', 'GISS-ModelE2',
+           'LMDZ5A', 'MetUM-CTL', 'MetUM-ENT', 'MIROC5', 'MPAS', 'CALTECH']
+nmod    = len(modnames)
+modnumbers = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14']
+
+# models available for specific simulations that we implemented correctly
+modlist_aqct = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
+modlist_aq4x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
+modlist_ldct = [   1, 2, 3, 4, 5,                 11, 12, 13]
+modlist_ld4x = [   1, 2, 3, 4, 5,                 11, 12, 13]
+modlist_ldor = [   1, 2,    4, 5,                 11, 12, 13]
+
+# colors as in Voigt 2016 JAMES TRACMIP paper
+modcolors = [ np.array([255,204,153])/255,
+              np.array([128,128,128])/255,
+              np.array([148,255,181])/255,
+              np.array([194,  0,136])/255,
+              np.array([  0, 51,128])/255,
+              np.array([  0,117,220])/255,
+              np.array([153, 63,  0])/255,
+              np.array([157,204,  0])/255,
+              np.array([ 76,  0, 92])/255,
+              np.array([ 25, 25, 25])/255,
+              np.array([  0, 92, 49])/255,
+              np.array([ 43,206, 72])/255,
+              np.array([143,124,  0])/255,
+              np.array([255,164,  5])/255 ]
+
+##############################
+# global-mean time-mean values
+def get_gmtm(exp, var):
+    data = np.zeros(nmod) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_gmtm(model=modnames[m], exp=exp, var=var)
+    return data
+    
+def get_data_gmtm(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='Amon')
+    # calculate global-mean time-mean    
+    if (ds != None):
+        # latitude and last n months
+        lat = ds['lat'].values
+        dat = ds[var][-nmth:].values
+        # average over longitude and time
+        dat_zmtm = np.nanmean(np.nanmean(dat, axis=2), axis=0)
+        # average over lattitude    
+        area = np.cos(lat*np.pi/180.0)
+        data_gmtm = np.nansum(dat_zmtm*area)/np.nansum(area)
+    else:
+        data_gmtm=np.nan
+    
+    return data_gmtm
+
+##############################
+# zonal-mean time-mean values
+
+# 2d-fields
+def get_zmtm(exp, var):
+    data = np.zeros((nmod, nlatint)) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_zmtm(model=modnames[m], exp=exp, var=var)
+    return data
+
+def get_data_zmtm(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='Amon')
+    # calculate zonal-mean time-mean and remap to common latint grid    
+    if (ds != None):
+        # latitude and last n months
+        lat = ds['lat'].values
+        dat = ds[var][-nmth:].values
+        # average over longitude and time
+        dat_zmtm = np.nanmean(np.nanmean(dat, axis=2), axis=0)
+        # interpolate to common latitude grid latint
+        out = np.zeros(nlatint) + np.nan
+        # if lat is from NP to SP we need to flip lat, otherwise np.interp gives meaningless result
+        if lat[0] > lat[1]: 
+            dat_zmtm = dat_zmtm[::-1]
+            lat   = lat[::-1]
+        out = np.interp(latint, lat, dat_zmtm) 
+    else:
+        out = np.zeros(nlatint) + np.nan
+    return out
+
+# 3d fields
+def get_zmtm3d(exp, var):
+    data = np.zeros((nmod, nlev, nlatint)) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_zmtm3d(model=modnames[m], exp=exp, var=var)
+    return data
+
+def get_data_zmtm3d(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='Amon')
+    # calculate zonal-mean time-mean and remap to common latint grid    
+    if (ds != None):
+        # latitude and last n months
+        lat = ds['lat'].values
+        dat = ds[var][-nmth:].values
+        # average over longitude and time
+        dat_zmtm = np.nanmean(np.nanmean(dat, axis=3), axis=0)
+        # interpolate to common latitude grid latint
+        out = np.zeros((nlev, nlatint)) + np.nan
+        # if lat is from NP to SP we need to flip lat, otherwise np.interp gives meaningless result
+        if lat[0] > lat[1]: 
+            dat_zmtm = dat_zmtm[::-1]
+            lat   = lat[::-1]
+        for k in range(nlev):    
+            out[k] = np.interp(latint, lat, dat_zmtm[k]) 
+    else:
+        out = np.zeros(nlatint) + np.nan
+    return out
+
+##############################
+# zonal-mean monthly-mean values
+def get_zmmm(exp, var):
+    data = np.zeros((nmod, 12, nlatint)) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_zmmm(model=modnames[m], exp=exp, var=var)
+    return data
+
+def get_data_zmmm(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='Amon')
+    # calculate zonal-mean monthly-mean and remap to common latint grid    
+    if (ds != None):
+        # latitude and last n months
+        lat = ds['lat'].values
+        dat = ds[var][-nmth:].groupby('time.month').mean('time').values
+        # average over longitude
+        dat_zmmm = np.nanmean(dat, axis=2)
+        # interpolate to common latitude grid latint
+        out = np.zeros((12,nlatint)) + np.nan
+        # if lat is from NP to SP we need to flip lat, otherwise np.interp gives meaningless result
+        if lat[0] > lat[1]: 
+            dat_zmmm[:,:] = dat_zmmm[:,::-1]
+            lat   = lat[::-1]
+        for mon in range(12):
+            out[mon,:] = np.interp(latint, lat, dat_zmmm[mon,:].ravel()) 
+    else:
+        out = np.zeros(nlatint) + np.nan
+    return out
+
+##############################
+# time-mean values
+def get_tm(exp, var):
+    data = np.zeros((nmod, nlatint, nlonint)) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_tm(model=modnames[m], exp=exp, var=var)
+    return data
+    
+def get_data_tm(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='Amon')
+    # calculate time-mean and remap to common latintxlonint grid    
+    # output is on common latitude-longitude grid latint
+    out = np.zeros((nlatint, nlonint)) + np.nan
+    if (ds != None):
+        # ESGF data is on 0-360 deg longitude grid, but we want to data on from -180E to 180E longitude grid
+        # so that continent is in the middle of lat-lon plots 
+        ds = ds.roll(lon=(ds['lon'].size//2))
+        auxlon = ds['lon'].values
+        auxlon[0:ds['lon'].size//2] -= 360
+        ds['lon'] = auxlon
+        # latitude, longitude and time.mean over last nmth months
+        lat = ds['lat'].values
+        lon = ds['lon'].values
+        dat = np.nanmean(ds[var][-nmth:].values, axis=0)
+        # grid of original model data      
+        x, y   = np.meshgrid(lon, lat)
+        # grid on which we interpolate
+        xint, yint = np.meshgrid(lonint, latint)
+        # interpolated data
+        out = griddata((x.ravel(), y.ravel()), dat.ravel(), (xint, yint))
+    return out 
+ 
+##############################
+# monthly-mean values
+def get_mm(exp, var):
+    data = np.zeros((nmod, 12, nlatint, nlonint)) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_mm(model=modnames[m], exp=exp, var=var)
+    return data
+
+def get_data_mm(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='Amon')
+    # calculate monthly-mean and remap to common latintxlonint grid    
+    # output is on common latitude-longitude grid latint
+    out = np.zeros((12,nlatint, nlonint)) + np.nan
+    if (ds != None):
+        # ESGF data is on 0-360 deg longitude grid, but we want to data on from -180E to 180E longitude grid
+        # so that continent is in the middle of lat-lon plots 
+        ds = ds.roll(lon=(ds['lon'].size//2))
+        auxlon = ds['lon'].values
+        auxlon[0:ds['lon'].size//2] -= 360
+        ds['lon'] = auxlon
+        # latitude, longitude and time.mean over last nmth months
+        lat = ds['lat'].values
+        lon = ds['lon'].values
+        dat = ds[var][-nmth:].groupby('time.month').mean('time').values
+        # grid of original model data      
+        x, y   = np.meshgrid(lon, lat)
+        # grid on which we interpolate
+        xint, yint = np.meshgrid(lonint, latint)
+        # interpolate data
+        for mon in range(12):
+            out[mon] = griddata((x.ravel(), y.ravel()), dat[mon].ravel(), (xint, yint))
+    return out        
+
+##############################
+# daily values of last 10 days
+def get_day_last10days(exp, var):
+    data = np.zeros((nmod, 10, nlatint, nlonint)) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_day_last10days(model=modnames[m], exp=exp, var=var)
+    return data
+
+def get_data_day_last10days(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='Aday')
+    # remap to common latintxlonint grid    
+    # output is on common latitude-longitude grid latint
+    out = np.zeros((10,nlatint, nlonint)) + np.nan
+    if (ds != None):
+        # ESGF data is on 0-360 deg longitude grid, but we want to data on from -180E to 180E longitude grid
+        # so that continent is in the middle of lat-lon plots 
+        ds = ds.roll(lon=(ds['lon'].size//2))
+        auxlon = ds['lon'].values
+        auxlon[0:ds['lon'].size//2] -= 360
+        ds['lon'] = auxlon
+        # latitude, longitude and select last 10 days
+        lat = ds['lat'].values
+        lon = ds['lon'].values
+        dat = ds[var][-10:].values
+        # grid of original model data      
+        x, y   = np.meshgrid(lon, lat)
+        # grid on which we interpolate
+        xint, yint = np.meshgrid(lonint, latint)
+        # interpolate data
+        for tim in range(8):
+            out[tim] = griddata((x.ravel(), y.ravel()), dat[tim].ravel(), (xint, yint))
+    return out        
+
+##############################
+# 3-hourly values of last 10 days
+def get_3hr_last10days(exp, var):
+    data = np.zeros((nmod, 10*8, nlatint, nlonint)) + np.nan
+    for m in range(nmod):
+        data[m] = get_data_3hr_last10days(model=modnames[m], exp=exp, var=var)
+    return data
+
+def get_data_3hr_last10days(model, exp, var):
+    # load dataset
+    ds = get_dataset(model=model, exp=exp, var=var, stream='A3hr')
+    # remap to common latintxlonint grid    
+    # output is on common latitude-longitude grid latint
+    out = np.zeros((10*8,nlatint, nlonint)) + np.nan
+    if (ds != None):
+        # ESGF data is on 0-360 deg longitude grid, but we want to data on from -180E to 180E longitude grid
+        # so that continent is in the middle of lat-lon plots 
+        ds = ds.roll(lon=(ds['lon'].size//2))
+        auxlon = ds['lon'].values
+        auxlon[0:ds['lon'].size//2] -= 360
+        ds['lon'] = auxlon
+        # latitude, longitude and select last 10 days
+        lat = ds['lat'].values
+        lon = ds['lon'].values
+        dat = ds[var][-8*10:].values
+        # grid of original model data      
+        x, y   = np.meshgrid(lon, lat)
+        # grid on which we interpolate
+        xint, yint = np.meshgrid(lonint, latint)
+        # interpolate data
+        for tim in range(10*8):
+            out[tim] = griddata((x.ravel(), y.ravel()), dat[tim].ravel(), (xint, yint))
+    return out        
+
+##############################
+# infrastructure functions
+def get_center(model):
+    # for a given model, provide the center
+    # e.g., LDEO for ECHAM61
+    center=None
+    if model=='AM21':
+        center='ULSAN'
+    elif model=='CAM3':
+        center='UW-MADISON'
+    elif model=='CAM4':
+        center='UAlbany'
+    elif model=='CAM5Nor':
+        center='NCC'
+    elif model=='CNRM-AM5':
+        center='CNRM'
+    elif model=='ECHAM61':
+        center='LDEO'
+    elif model=='ECHAM63':
+        center='MPI-M'
+    elif model=='GISS-ModelE2':
+        center='NASA-GISS'
+    elif model=='LMDZ5A':
+        center='LOCEAN'
+    elif model=='MetUM-CTL':
+        center='NCAS'
+    elif model=='MetUM-ENT':
+        center='NCAS'
+    elif model=='MIROC5':
+        center='HU'
+    elif model=='MPAS':
+        center='PNNL'
+    elif model=='CALTECH':
+        center='CALTECH'
+    else:
+        sys.exit('loaddata.py, get_center: No center found for desired model!')
+    return center
+
+def get_dataset(model, exp, var, stream):
+    # provides dataset for given model, experiment and variable from lsdfonline TRACMIP_ESGFCOPY
+    # stream determines whether Amon, Aday or A3hr dataset is loaded
+    import xarray as xr
+    center = get_center(model)
+    # CALTECH simulations with perturbed optical thickness are named Abs15 instead of 4xCO2
+    if model=='CALTECH':
+        if exp=='aqua4xCO2TRACMIP': exp='aquaAbs15TRACMIP'
+        elif exp=='land4xCO2TRACMIP': exp='landAbs15TRACMIP'
+    path = '/home/fd8940/lsdfonline/Gruppe_Voigt/TRACMIP_ESGFCOPY/'+center+'/'+model+'/'+exp+'/'+stream[1:]+'/atmos/'+stream+'/r1i1p1/'+var
+    # check if variable file exists, if so open dataset, if not set dataset to None
+    import glob
+    import os
+    flist = glob.glob(path+'/v*/'+var+'_'+stream+'_'+model+'_'+exp+'_r1i1p1_*.nc')
+    #print(model, exp, flist) # for debugging purposes
+    # for CALTECH land there are two versions, make sure to use newer version v20190408
+    if model=='CALTECH':
+        if (exp=='landControlTRACMIP') or (exp=='landAbs15TRACMIP') or (exp=='landOrbitTRACMIP'):
+            flist = glob.glob(path+'/v20190408/'+var+'_'+stream+'_'+model+'_'+exp+'_r1i1p1_*.nc')
+    if (len(flist)==1):        
+        #print(flist)
+        ds = xr.open_mfdataset(flist[0]).squeeze()
+    elif (len(flist)>1):
+        print(flist)
+        import sys
+        sys.exit('There are several file versions, not sure which one I should used. STOP!')
+    else:
+        ds=None
+    return ds