{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c3a22877",
   "metadata": {},
   "source": [
    "# 04: Modelgrid and intersection\n",
    "\n",
    "The first part of this notebook is focused on the `flopy.discretization.Grid` (modelgrid) object(s). The modelgrid object(s) are a relatively new addition to FloPy's capabilities and are the backbone of plotting, exporting, and GIS data processing within FloPy. These objects are automatically created when a model is loaded. Alternatively they can also be created as a stand alone object. \n",
    "\n",
    "There are three types of modelgrids:\n",
    "\n",
    "* `StructuredGrid`: the StructuredGrid object is created for rectilinear grids. i.e. models that use a DIS file for discretization\n",
    "* `VertexGrid`: the VertexGrid object is for discretizations that are defined by vertices (e.g., DISV packages)\n",
    "* `UnstructuredGrid`: the UnstructuredGrid object is for unstructured discretizations (e.g., DISU and MODFLOW-USG)\n",
    "\n",
    "These objects all have a common interface defined by the base `Grid` class. What this means for the user is if they want to get the cell center coordinates from a modelgrid, the function call is identical on all three grids.\n",
    "\n",
    "The best way to learn about these classes is by checking them out. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "72833c87",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib as pl\n",
    "import flopy\n",
    "from flopy.utils.gridgen import Gridgen\n",
    "from flopy.utils import GridIntersect, Raster\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "\n",
    "# pd.options.mode.chained_assignment = None\n",
    "data_path = pl.Path(\"../data/modelgrid_intersection\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9ea69ac",
   "metadata": {},
   "source": [
    "## Grids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d78299e2",
   "metadata": {},
   "source": [
    "## StructuredGrid\n",
    "\n",
    "Let's start with the most common type of MODFLOW modelgrid, the `StructuredGrid`\n",
    "\n",
    "#### First we'll build one from scratch "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7154ce13",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xll:0.0; yll:0.0; rotation:0.0; units:undefined; lenuni:0\n",
      "<class 'flopy.discretization.structuredgrid.StructuredGrid'>\n"
     ]
    }
   ],
   "source": [
    "nrow = 20\n",
    "ncol = 15\n",
    "nlay = 1\n",
    "\n",
    "grad = np.expand_dims(np.linspace(50, 100, nrow), axis=1)[::-1]\n",
    "top = np.ones((nrow, ncol)) * grad\n",
    "botm = np.zeros((nlay, nrow, ncol))\n",
    "botm[0, :, :] = top - 50 \n",
    "delr = np.full((ncol,), 250)\n",
    "delc = np.full((nrow,), 150)\n",
    "ibound = np.ones((nlay, nrow, ncol))\n",
    "ibound[0, 4:10, 4:8] = 0\n",
    "\n",
    "modelgrid = flopy.discretization.StructuredGrid(\n",
    "    delc,\n",
    "    delr,\n",
    "    top,\n",
    "    botm,\n",
    "    ibound,\n",
    ")\n",
    "print(modelgrid)\n",
    "print(type(modelgrid))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f568611b",
   "metadata": {},
   "source": [
    "Let's take a look at our modelgrid visually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8eabc8cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "modelgrid.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59337e12",
   "metadata": {},
   "source": [
    "This is great, but what if we want to orient it in space and add a coordinate reference system so we can do further processing? \n",
    "\n",
    "The `set_coord_info()` method allows us to update the coordinate offsets, rotation of the grid, and even add projection information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bd579167",
   "metadata": {},
   "outputs": [],
   "source": [
    "xoff = 2345678\n",
    "yoff = 1234567\n",
    "angrot = -15\n",
    "epsg = 32610  # utm zone 10N\n",
    "\n",
    "modelgrid.set_coord_info(xoff=xoff, yoff=yoff, angrot=angrot, crs=epsg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "075e0165",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "ax = modelgrid.plot(ax=ax)\n",
    "plt.title(str(modelgrid));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67c85c8e",
   "metadata": {},
   "source": [
    "### Getting cell centers and cell vertices\n",
    "\n",
    "* Cell centers can be returned to the user through the `.xcellcenters`, `.ycellcenter`, and `.zcellcenter` properties.\n",
    "* Cell vertices can be returned to the user through the `.xvertices` and `.yvertices` properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "046226a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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o9XoaGxvP+b7j/SwLFiwIqexdffXVqhpn48aNbNy4kZtvvpmUlJTzf9gIIwIwgSCYgCTOUlUFQFlpqSazsQIO8Tido8sWdDr/82vWTO59tHZtHA86nY7CwkIKCwtZuXIlHo+HmpoaNSBzuVw0NzfT3NzMBx98gE6no7SuDumqq5AsFkqcTmIVs5Bw6zcEAoFAIJgEkUqoDud8xlder5elS5fyxz/+ccRz+fn5mr+n1+slNjaW/fv3EzvsXp2Wlqb+/+FrKJ1Oh2+0hdCwbY/nswzvz09PT+fAgQNs376dt99+m+9973s8+uijfPjhh9POyVkEYAKBQpAkTr79dpg9G+lPf4KMjElXYwIO8dxyiz++CP7tUQpVzzwzuXiju7ubhoYGAEyBOWBTQWxsLEajEaPRyPr163G73SH9Y62trdQUFVFTVMSOtWtJ6O/HaLMhWSxIskxeczO6cOg3BAKBQCCYJJFKqA5n5syZJCcns2XLFu69994Rzy9ZsoRXXnmFgoKC0WX/E2DhwoVs2bKFu+++e8RzixcvxuPx0NjYyJpJfNiEhAQ8wxzIJvNZ4uLi+MhHPsJHPvIRvv/975OVlcXWrVtDzEOmA8IFUSCAEEsjb0wMNqMRAPPBg5pZGm3a5FfWlZSEPl5aqo3iTulZKyoqmrRro5YkJyczZ84crr/+er7+9a9zv8nEjX/5C/OOHSO5t5eBxEROVVTwvx/9KP/xta/x9IMP8sZNN3Gkupru7u6p3n2BQCAQCFSUhCqcTaAqaJVQHY2kpCQ2b97MI488wgsvvIDFYmHv3r385je/AeCOO+4gLy+Pj3/847z77rtYrVZ27NjB/fffT+25mtbOwfe//31eeuklvv/971NVVcXRo0f58Y9/DMCsWbO44447uPPOO3nttdewWq18+OGHPPHEE7z11lvjfg+j0ciRI0eorq6mubmZwcHBCX+WN998k3/7t3/j0KFD2O12XnjhBbxer9q/Pp0QAZhAMMzSyFlcTH9SEkluN0WKiFsjj/hNm8Bm8zvDj9MhftxMhfxwImSVl7PkwAFu+dOfuP+ZZ9AFjmuZw0Hs0BBdGRkcrqzk9fp6nnzySX7xi1/w97//ndOnTzMwMDDFey8QCASCS51wJ1TH4rvf/S7f+ta3+N73vsecOXO47bbb1H6qlJQUdu7cSXl5OZs2bWLOnDncc889uN3uCVfE1q5dy6uvvspf/vIXKisrWb9+Pe+//776/HPPPcedd97Jt771LSoqKvjYxz7G+++/T1lZ2bjf4wtf+AIVFRUsW7aM/Px8du/ePeHPkpWVxWuvvcb69euZM2cO//mf/8lLL73EvHnzJvT5w4nOdz4h5iVEZ2cnmZmZdHR0aFa+FUQB27fDunXqf+648kq2r19PalcXV7z3HpLFQmFjI7qtW6etJM7n8/H000/T1dXFZz7zmZCG18kQFpd4jweMRnA6OT1jBi/ecQdZbW1849lnGYqLo6a8HEtlJdZrrqEuMAhbQbHHN5lMmM1m9Ho9MTEijyQQCASC8dHX14fVasVkMpGUlDSpbYlJKhcPY30vwhUbiB4wgWCYVZEcCF560tN5R7E67e7GdOAAUmYmZrN52gXoLS0tdHV1ERsbS3l5uSbbDJtLfFBDnByo1kmyjA6I93iQrFakn/wENm2it7cXq9WKxWJBlmU6Ojqw2WzYbDa2bdtGUlISJpNJDciys7PD6v4oEAgEAoFCbOy0zcsKpjkiABMIgqyK+hMSqC0tBWDNjh3U6/XYjEZ60tI41tXFsb/8BYDc3NwQW/XJZtEmi2LLWl5erolro9ISFzaX+IB+Q96xA/AHYIA/wnvmGXXjKSkpzJs3j3nz5uHz+Whra8NisWC1WrFarfT19VFVVUVVwLUyKytLDcZMJtO0tJ4VCAQCgUBwaSMCMIEgyNLIbjDgjY0lu7WV9du2AeCJjaV2yRIsP/oRstWKy+WipaWFlpYWPvzwQ3Q6HSUlJUiShNlspqSkZIQla7jRcmj0sJa4ELR0ie++5hoaA3PCTN/+9lnbqDE2qtPpyMnJIScnh+XLl+P1eqmrq1OrYzU1NbS3t3Pw4EEOHjwI+OeNKIFyeXk5cXHiJ08gEAgEAsHUIlYjAkGwJC4gPzQpFRmdjlivF8O3v41hwwbWc1YnHGyrXltbS21tLTt37iQhIQGj0agu/PPy8sIqi/N4PNhsNgBNer/efTdUdjgcnw+0cIlXgka9Xk/KZz5zwX8fExNDSUkJJSUlXHnllQwMDGC329Xz0tjYSF1dHXV1dezevZu4uDjKy8vV81JUVCTkigKBQCAQCCKOCMAEAhghiTOPIYkDvxXsnDlzmDNnDgDt7e3qot9qtdLb28upU6c4deoU4B8MqCz6TSbTiMnuk8XpdDIwMEBycjJFRUWT3t6wlrhJv24stKzagX+WyMyZM5k5cybgn4umnBdZlunq6lL/P/jljSaTST035x3SKLqtBQKBQCAQaIAIwASCAF1XX01TQBJn/M53ziuJU8jKymLJkiUsWbIEn89HfX29utB3OBx0dXVx+PBhDh8+DEBBQYG66DcYDCQkJExqv4MDGS0qOkEtcZq8bjR8Pp/mAdhw0tLSWLhwIQsXLsTn89Hc3KyeF5vNRm9vL8ePH+f48eMA5OTkhATKIX19YXMkEQgEAoFAcKkhAjCBIIASEBQXF09IEgf+PiW9Xo9er2fVqlUMDQ3hcDjUhX9dXR2NjY00Njayd+9eYmJiKCsrUxf+xcXF47dVD1Rk5MBMDpPBMKF9Hk5QS9yofWA63dnYdKI0NzfT1dWlygLDjU6nIz8/n/z8fC6//HI8Hg9Op1M9L7W1tbS2ttLa2sq+ffvQ6XQUFxf7z0ttLWX33EPs8DlwmjmSCAQCgUAguJQQAZhAECAcFZm4uDg1uAJUW3Vl4d/e3o7dbsdut7Nt2zYSExNDZHE5OTmjV7UCFZn+piZqN2+GmBjMd94JP/zhpIOBoJY4dLrQIEzZlWeemZz6TjnWU2WModj1l5eXs3btWvr7+7HZbOp5aW5uxul04nQ6eReI37wZg92OZLEgyTIFjY3otHQkEQgEAoFAcMkgAjCBgMhI4mB0W/Xg/rG+vj5OnjzJyZMnAcjMzAyRxaWmpoZ4xNtmzcIXE0NOSwtZ1dWaVWQCLXGjqu6GtcRNiEgc6wshMTGRiooKKioqAOjo6PAHyu+9hyzL9KSlcWbmTM4E+svSurqQZBmTLCPJMhmTdSQRCAQCgUBwySACMIEAaGpqoru7m7i4OMrKyiLynsG26suWLVNt1YP7xzo6OkJs1YuKipD+/nckk4lyhyPUtVHjisymTf7NaO07EezaOF0CsOFkZmZSWVlJZVUVviefpLGggHdXr+b4ggXovF6609M5smgRRxYtAiDvvfeQ3G7MZjMGg4HExMQp/gQCgUAgEITyuc99jvb2dt544w0A1q5dS2VlJc8888yU7pfCo48+yhtvvMGhQ4emelfCjgjABALOVmQMBsOUzYoKtlVfs2YNAwMDOBwOdfBwQ0MD9fX11C9axJ5Fi4gdGiLG6wUgp60Nn07nl8Vp4REfIDZW+8KO4tqYkpKiiWtjWNHr0fl8FDY0EBs41iv37GHmmTNYJAnZbMZVXEzzwADNH3zABx98QExMDKWlpepA6JKSkvH39QkEAoEgehDuuBNGp9Px+uuvc9NNN6mPPfTQQ3z961+fup2KICIAEwiYfpI48Nuqz5gxgxkzZgABW/U//hHr3/6GxWymKyMDxRbinWuuYdfq1aoszuxwkDVle35uLBYLACaTSbM5XGG7BwYcSXxOJ3LguzHDYsFos2G02diwbRtuScL6xhvIgR6ytrY2HA4HDoeDHTt2kJiYGDIXLjc3V8wfEwgEgmhHuONOiIGBgTHdn9PS0khLS4vwHk0NIi0ruOSJBkkcBGzVKyr4+J//zDefeor1//gHAEluNwn9/bhTUjg+fz5vfuxjPGu18m//9m+8+eabVFVV4Xa7p3jvz2K1WgHtjvVrr4HRCOvWwac/7f9fo9H/+KQJOJI05efTnZ5O3OAgZQ6H/7lAEJX84x8zd/58brjhBr7xjW/wjW98gxtuuIG5c+eSnJxMf38/1dXV/O1vf+Pf//3feeaZZ/jzn//M0aNH6enp0WAnBQKBQBBRlF7s4OALzrrjanIDGonX6+WJJ55gxowZJCYmUl5ezg9/+MOgt3dy2223kZ2dTW5uLh//+MfV9c2FUl1djU6nU3vSFZ566imMRiO+gEPXiRMn+OhHP0paWhqFhYV89rOfpbm5WX392rVr+drXvsaDDz5IXl4eV199NUajEYCbb74ZnU6n/vejjz5KZWVlyPv99re/Zd68eSQmJqLX6/na176mPtfR0cEXv/hFCgoKyMjIYP369erIH4DDhw+zbt060tPTycjIYOnSpezbt29Cx0NrRAVMcMlTW1vL4OAgKSkpFBYWTvXunJtARUbndNJUUADA8g8/5Krt23GWlCCbzcizZ1Or19PW1sb+/fvZv39/qK26JFFaWjolUsu+vj5qAzcsLQKwID+SEDR1iN+0Cbm5GerqMNjtxCl29GM4kmRnZ7N06VKWLl2Kz+cb0dfX2dnJoUOHVI17YWFhyFy4+Pj4Se6wQCAQCMKGx+OvfI02pyXM7rjf+c53+NWvfsXTTz/N6tWrqaurUwOk3t5e1q1bx5o1a9i5cydxcXH84Ac/YOPGjRw5cuSCZ45WVFSwdOlS/vjHP/Kv//qv6uMvvvgin/70p9HpdNTV1XHVVVfxhS98gaeeegq3283mzZv55Cc/ydatW9W/+d3vfsdXvvIVdu/ejc/nIzc3l4KCAp577jk2btxI7BjH6Re/+AUPPvgg//f//l+uu+46Ojo62L17N+A3T7v++uvJycnhrbfeIjMzk1/+8pds2LCBU6dOkZOTwx133MHixYv5xS9+QWxsLIcOHZo291gRgAkuebQeZAxhlMQFKjK+W25RJXGSLBPr9VJeW0t5bS1rv/51+q+/fmxb9XffJT4+HoPBoC78CwoKIiKLs9ls+Hw+cnJyyMrKmtS2InkPlAOSCOmaa+CjHx33SVUC3+LiYlavXs3g4GDIXLj6+noaGhpoaGjgvffeIzY2NmQunF6vF/1jAoFAMJ14992Rla9gNO7FVujq6uLZZ5/l5z//OXfddRcAZrOZ1atXA/Dyyy8TExPDr3/9a/V+/txzz5GVlcX27du55pprLvg977jjDn7+85+rAdipU6fYv38/L7zwAuAPkJYsWcLjjz+u/s1vf/tbysrKOHXqFLNmzQJgxowZ/PjHPx6x/aysrHP2gv/gBz/gW9/6Fvfff7/62PLlywHYtm0bR48epbGxUTW++ulPf8obb7zBn/70J774xS/icDh4+OGHmT17NgAzA07G0wERgAkuebTu/wq7LHzTJhr/8Ad6Tp8mfmCA0pqas28SqMgkQoitemdnp7rol2WZnp4ezpw5w5kzZwBITU1VF/2SJJGRkaHBjo5Ey2MdqXtgiET16qthEsYh8fHxmM1mzAH3yp6enpC5cB0dHdhsNmw2G1u3biUpKWnEXLhx7LBoChcIBIJwUVen7evGSVVVFf39/WzYsGHU5/fv38+ZM2dIT08Pebyvr0/tvb5Qbr/9dh5++GH27t3LihUr+OMf/0hlZSVz585V33Pbtm2j9m1ZLBY1AFu2bNkFv3djYyMul+ucn7e7u5vc3NyQx91ut/p5H3zwQe69915+//vf85GPfIRbb71Vvf9ONSIAE1zS9PX14XQ6gSiSxAGyyQSnT2MoLCTu978/70I7IyPDb6teWYnP56OxsVFd9Nvtdnp6ejh69ChHjx4FIC8vT130G41GzWzVtQzAInUPDKdENTU1lfnz5zN//nx8Ph+tra0j5sJVVVVRVVUF+LOFwXPhUlJSQjcomsIFAoEgvOj12r5unCQnJ5/zea/Xq0oGh5Ofnz+h99Tr9axbt44XX3yRFStW8NJLL/GlL30p5D1vvPFGnnjiiVH/ViE1NfWC33s8n1ev17N9+/YRzykKm0cffZRPf/rT/PWvf+Vvf/sb3//+93n55Ze5+eabL3h/tEYEYIJLGkUSl5ubS2Zm5qS2FVFJnBLILF8OK1de0N/qdDoKCwspLCxk5cqVDA0NUVtbqy78XS4Xzc3NNDc388EHH6DT6SgtLVUX/iUlJWPqtc9FR0cHLS0t6HQ6TCbTBf/9cCJ1DwyHRHU0dDodubm55Obmsnz5crxeLy6XSz0vNTU1tLe3c+DAAQ4cOAD4b3CSJGE2mynbv5+4T34y/NG/QCAQXMoEerFxOke/4et0/ufXrNH0bWfOnElycjJbtmzh3nvvHfH8kiVLeOWVV1RDCq2444472Lx5M5/61KewWCzcfvvtIe/53//93xiNxgvuK4+Pj8ej9FSPQnp6OkajkS1btrBu3boRzy9ZsoT6+nri4uJUE4/RmDVrFrNmzeKb3/wmn/rUp3juuedEACYQTDVKmTqaJHFDQ0PY7XZAm/1WfryMRiPr16/H7XZjs9nU+WOtra3U1NRQU1PDjh07SEhICLFVz8vLO39g4vEg/+1vABSnpZGkQRNspO6BUzWiQJknVlpaypVXXsnAwAB2ux2LxYIsyzQ1NVFXV0ddXR27d+8mbmgIwx13+McQyDKFDQ3+uXBhbgoXCASCS4pALza33OL/bQ2+ASn3wmee0fy3Nikpic2bN/PII4+QkJDAqlWraGpq4vjx43z+85/njjvu4Cc/+Qkf//jH+Zd/+RdKS0txOBy89tprPPzww5SWlk7ofTdt2sRXvvIVvvKVr7Bu3TpKSkrU5+677z5+9atf8alPfYqHH36YvLw8zpw5w8svv8yvfvWrcyZrleBq1apVJCYmkp2dPeI1jz76KF/+8pcpKCjguuuuo6uri927d/P1r3+dj3zkI6xcuZKbbrqJJ554goqKClwuF2+99RY33XQT8+bN4+GHH+aWW27BZDJRW1vLhx9+yCc+8YkJHQetEQGY4JJGS0v0SEviUlNTKQg4IWpJcnIyc+bMYc6cOQC0t7eH9I+53W5OnTrFqVOnAH+WKrh/bIQWPCCLky+/HBYsQHrzTXj66UnL4iJxD9RaojoZEhISmDlzptpE3NXVpUoVLVVVdAOWGTOwzJjBP4CUnh4kWVb/ZYahKVwgEAguSTZt8qsKRpN8j+KOqxXf/e53iYuL43vf+x4ulwu9Xs+Xv/xlAFJSUti5cyebN29m06ZNdHV1UVJSwoYNGyZVEcvIyODGG2/k1Vdf5be//W3Ic8XFxezevZvNmzdz7bXX0t/fj8FgYOPGjec1kHryySd58MEH+dWvfkVJScmodvl33XUXfX19PP300zz00EPk5eVxyy23AH7VyFtvvcU///M/c88999DU1ERRURFXXnklhYWFxMbG0tLSwp133klDQwN5eXls2rSJxx57bMLHQkt0Pt9oueNLk87OTjIzM+no6AibCYFg+tDR0cEzzzyDTqfjkUceISkpaVLb277dP4PqfGzbNrk18NatW3n33XdZsGABmyIsKfP5fNTX16vVMbvdPkJCUFBQoMriyg8dIuGTn8QH/PShh+hNTeVzzz2HQZmlpYEsbrS2p7Iybe6BJ0+e5JVXXiE3Nzdk9sh0w/fiizQ/8AAWSUI2mzkzYwa+YTe/3OZmTGYz5o0bMRqNk/6+CwQCQTTS19eH1WrFZDJN/ndQmB5dNIz1vQhXbCAqYIJLE48Hy1tvAVCSni4kceNEp9Oh1+vR6/Vj2qo3NjbS2NjI3r17ifV4KLvzTvIbG+lNTSVuYIDS2lpNZXGbNvk3EY57oJYS1XCiKy4mv6mJ/KYmlu3bxxObNzOUkMDSfftoKCzEWVJCS14eLR0d7HvlFXQ6HSUlJSFz4SbS1ycQCASXNLGxQlUgmBAiABNcegRKJlZFEveXv8BTT0WFJM7tduNyuYDpERSc01b9xAk6+vuxmUzYAqYb3thY/vsTn1Blcdk1Neg0kMWF6x6opURVISwJ06Dov7a0lKGEBFK7u7n+zTfRAX1JSdiWLkX+zneQrVZaWlqora2ltraWnTt3Eh8fH9LXl5+fH5G5cAKBQCAQXIqIAExwaRHwifdByCBjrZziwi0LV1wb8/LypqVMNsRWvbub1q9/HVmS2LF2LT1paXhjY6maO5eqwAyRrLY2pEOHkPLzR7dVn0KCXRvP5bB0IYTNJT4o+pcDwbAky+gAdDqS+vuZ/eCDzL7+esD/2YL7+np7ezl9+jSnT58GIC0tLaSvb/hcGYFAIBAIBBNHBGCCS4cgn/iGoiJVEqd3uYQkLgzoiovJbW0ls7OTt6+9FoBNf/oTbTk5yJJETVkZ7dnZHOjo4MCf/gSctVWXJIny8vILtrXVEuVYl5SUaNIvFfYZcYHoX96yBQgkFmDU6D8zM5PFixezePFifD4fDQ0NIXPhuru7OXLkCEeOHAH8M2SC58IlJCRMYkcFAoFAILi0EQGY4NIhyCfeEghghhISePLhhzHabKosLm/nTnTjcdM4B5e8JA5UWVxNfDxD8fGkdXUx/9gxdMCVO3cykJCAfelS5O99D9lqpbGxMdRWPS6O8vJydeFfVFQUUVmclsc6UjPi3Nddh+vYMfD5kL75TSgvP+8J1el0FBUVUVRUxBVXXMHQ0BA1NTUhc+Gamppoamri/fffV+3xg+fCnc/tSiAQCKYbwoNOEEykvw8iABNcOgT5v1sDi+r4gQEGEhM5VVHBqYoKANL37EHq6BjbVn2KaG9vp7W1NTokcaDK4uT/+A8gSBIHoNORMDjIzIceYubGjYDfVl3tH5Nl1WZdMR1JSUnBZDKp50WZdB8OfD6fpmYnkZoRFyJRvfPOCW0jLi4Ok8mEyWRiw4YN9Pb2hsyFa2trw+Fw4HA42L59O4mJiWr/mNlsJicnR/SPCQSCaUt8wHSrt7eX5OTkKd4bwXSht7cXOPv9CDciABNcOuj1AAzFxWE3GAC491e/whMXh0WSsEoSdoOBLuDw4cMcPnwYOGurLkkSBoNhyuRXSkBQWlpKYmLipLcXdkkcwKZNyGfOgNt9VhIHo8ri0tPTWbhwIQsXLsTn89Hc3KwGYDabjd7eXo4fP87x48cByMnJUc+LJnbCQTQ0NNDb20tCQsKEh1cGE6kZceFwyExJSWHu3LnMDfTttbW1hfSP9fX1UV1dTXV1NeCfGaMEYyaTidTU1LE3LiycBQJBhImNjSUrK4vGxkbA/xsnkkaXLj6fj97eXhobG8nKyoqYI7AIwASXDgFJnCMhgaH4eNI7O8lvakIH6OvqWL1nD4MGA46330a22Ua1VY+JiaGsrExd+BcXF0dMfqXl4jpikji3G5fbDYDpiSegtXVcC22dTkd+fj75+flcfvnleDwenE6nWoWpra2ltbWV1tZW9u3bh06no7i4WD0vZWVlk/oRVfq/DAaDJj/Ggdhfs9eNRSRGFGRnZ7N06VKWLl2K1+sNmQvncDjo7Ozk0KFDHDp0CICioiJMJpN/Llx5+dnsYljLrwKBQDA2RUVFAGoQJhBkZWWp34tIIAIwwaWDIon7xS+AkZI4gPgnn8Q8cybmmTOBYbbqskxHRwd2ux273c62bdtITEwMkcWFS34VrZI4pY8qPz+fjIARx0SIjY2lvLyc8vJy1q1bR19fH3a7HYvFgizLtLS04HQ6cTqdvPvuu6qturLwH7eteqAiI3/4IQBSwD5/skRiRlw4JKrnIyYmhuLiYoqLi1mzZg2Dg4PY7Xb1emloaKC+vp76+nree+899TxKvb1I//qvFNXVEZK+0LT8KhAIBKOjzLQsKChgcHBwqndHMMXEx8dHfBamCMAElxZBkjjTeSRxMMxW3eejtbVVXVxarVb6+/s5efIkJ0+eBPzucsH23VrZqtfX1+N2u0lISKCkpGTS24tmSRxAUlISFRUVVAT69hRbdSVY7unpuXBb9UBFZqi+HsfmzRAfj/mLX4THHpt0MBCJGXFaS1QnQnx8PDNmzGDGjBmAP4ERLFfs7OzEarViBbZ88Ysk9/Zislr9BjgWC9nt7dqVXwUCgeA8xMbGiiH0gilBBGCCS4re3l7qApI46cc/HrckDvwZs9zcXHJzc1m+fDlerxeXy6UuLmtqaujo6ODgwYMcPHgQ8Mscgm3VJ9rcqUjijEajkMSNwkRs1ZXqmMFgIPGvf1Ub4hwmkypRzTt+XLOKTLhnxEXqWF8IqampLFiwgAULFuDz+WhpaUH++9+R33wTm9GIOyWFE/PmcWLePACyW1tVN1LT1q0kX331FH8CgUAgEAi0RwRggksKRRJXUFBA+iQkcYBqx11aWsqVV17JwMBAiPyqsbFRlV/t2bOH2NhYDAaDuvAfl616QBJnjUJJXFtbG21tbcTExGAImJ5EgguxVf/ggw/859HlQrrySiRZVkcUSLKMTsuGOMI3I05riWo40Ol05OXlkRcTw2Uvv4w3Jobdq1axdcMG4gcG8MTG0paTw/6cHPYvWwZ79lBss4X09U3lXDiBQCAQCLRC3M0ElxTKItWkUSATTEJCAjNnzmRmoH/sXLbqW7ZsITk5OUQWN8JWPSCJG6yvx/7tb0NcHNIXviAkcRfIcFt1t9sdcl7a2tpwFBXhKCpi+7p16LxeAHxAc24uuS0t6LRoiAsQjhlxWktUw0qgrBrj9dKemQnA4gMHWL91K3ajEVmSkCWJpoICXC4XLpeLXbt2ERcXh8FgUK+XwsJC4VwmEAgEgqhEBGCCSwolKDCbzWF/r/PZqrvd7hG26kp1zHjsGMm33eaXxEkSnrg4IYnTiOTk5FBb9RdeQP63f1MX/n2BuTBHKis5UllJRkeHXxZXXY20fPm5bdWnCOVYayVRhfAP6MbpRA5ch2ZZJnFggFmnTjHr9GkoLaXryBHkoIpyd3c3FotFleOmpqaqBjhms5mMjAwNdk4gEAgEgvAjAjDBJUNrayvt7e0Rl8TBhdmq79+/H53XS/HnP48ky7RmZwNgtliiRhLn9XpVued0C8CGk11eztL9+1m6fz/H5s3jv2+9ldSuLgqamnCUl9OZmcmhxYs5VF8PP/0phYWFIXPhIjW08VxoHexGYkB327330p6dTYzHg8Fm8z8XVH5Nz8piUVYWixYtwufz0dTUFJLA6Onp4dixYxw7dgyA3Nxc9bwYjUZN58IJBAKBQKAlIgATXDIoi9SysrIpG6ascE5b9WPHaHG7cZaW4gwaAlyn1/PeypVIFgsFNTXookASl5iYqJkkLhIVGWsggJl/7Bgb//53BuPjcZSXIy9ahHz11dQ3NNAQ+KfYqgfPhdPr9RGbC6egWL+DNgFYpAZ0W1pawOWitLaWxIEB/+NjlF91Oh0FBQUUFBSwYsUKPB4PtbW1agLD6XTS0tJCS0sLH374ITqdjpKSErU6VlJSIpzOBAKBQDBtEAGY4JIhnP1fkyXEVr2jg44vfxlZkjg9axZVAalcQ1ERbweGBKZ2dyMdOICUlYUkSdNOfhUsidMiIIlERYZbbkEOBDDmwP7HDw1hlmXMP/4xbNqkzoVT5o91dnZis9mw2Wxs3bqVpKSkEFlcdqB6GU5qamrweDykp6eTl5c3qW1FakA3gDUrCwLmJ1x99QVF1YqhjVLJ7uvrw2azqeeltbWV2tpaamtr2blzJwkJCSFz4fLy8kT/mEAgEAimDBGACS4JgiVxkej/mhR6PZmdnSw+dIj4wUGq5s4lu6WFZfv2IZvN2A0GetLSONrVxdE//xmAvLy8EPnVVJpegLaSuEhVZFr/+EfaT53yS+ICFaXhFZnR5sIpVRir1UpfXx9VVVVUVVUBkBUIkCVJwmQyaTYXLhilJ0qSpEkHFZEa0O31es9+RzZsgLKyiW8MfwJj9uzZzJ49G/APpQ6eC9fb28upU6c4deoU4O/PDD4vo86FG07YSrACgUAguNQQAZjgkqCuro6+vj4SExMpLi7WZJuRNCmoqK7mivfe44r33mMoLo6aJUuQf/ADZJsNl8tFc3Mzzc3Nqq26Ir+SJCni8qvBwUEcDgcw+QAskhUZeeZMOHWKspwcEp5//rwnNXgu3GWXXabOhVOqMLW1tbS3t3PgwAEOHDgAQHFxsVqF0cpWXcteu0gN6A6+HsPh2piVlcWSJUtYsmQJPp+P+vp6tX/M4XDQ1dXF4cOHOXz4MOAfSxHc1zdCohzWEqxAIBAILjVEACa4JAiWH0aLJM43iiQOnY44jwfT5s2Yrr6aDTCqrXpNTQ01NTXs2LGDhIQE1YbdbDaTm5sbVvmVw+HA4/GQkZFBbm7upLYVqYoMBFXtliyBK6+84L8Pngt31VVXMTAwgM1mU89LU1OTaqu+e/duTWzVe3t7qQtEQ1oEYJEe0K2VRPVc6HQ69Ho9er2eVatWMTQ0hMPhUM9LXV0djY2NNDY2snfvXmJiYkL6+orff5+YW28NcwlWIBAIBJcSIgATXBJEqySu49QpYoeGKB9DEgej2Kq3tamLS6vVitvtprq6murqagAyMjJC5FdpaWmT3NlQtJTERaoiEw7XxoSEBGbNmsWsWbMAQubAjWarnpKSEjIXLjMwI2tMPB7kN98EoCA1lbSAff5kiMSAbpjaEQVxcXHqMQZ/EBucwGhvb8dut2O329m2bRuJ/f2YPvlJ/ygCi4Wc1lZ0oH0JViAQCASXDCIAE1z0DA4OUlNTA0SZJG7GDL8kLjeXhN/9btw6x+zsbJYuXcrSpUvxer0j5FednZ0cOnSIQ4cOAVBYWKhWx7SwVdcykIlURSYcEtXhpKens2jRojFt1Xt7e8dvqx4owcqLF8PSpUjvvOMvv06yBBuJAd1aXo9akJKSwrx585g3bx4+ny80gXH6NH3AyTlzODlnDgCZ7e1qMGayWknVcEi3QCAQCC4NRAAmuOix2+14PB4yMzPJycmZ1LamQhJnmqAkDvyyuOLiYoqLi1m9erXan6UsMOvr61Vb9b17907OVt3joWfLFurr6wGQNJi1FumKjFYS1fMxlq26cl7OZasu1dZSevfdxHg8yLfcAoAky5qVYMM9oFu5HrWQqGqNTqcjJyeHnJwcli1bhvfFF6l75BFkSWLvihX0pqTQkZXFwSVLOLhkCQBFdXVIR44glZVRXl4+LebCCQQCgWB6IwIwwUVPsNwpGiVxWro2xsfHYzab1W1eiK26JElkZ2ePfgwDFRlrVhbccguF9fWkzpsXFRUZmFpJHITaqitz4YL7x1paWs7aqgPxmzdT4nTSkZWFzuPxS1Q1LMGGa0A3aHs9hpuY4mJKnE70Lhd7rrgCdDqu/dvf6MjMxCpJNBQVUa/XU9/Wxp4//EGd76eMISgqKpr2n1EgEAgEkUcEYIKLHi0X15GSxLlcLvr7+0lKSkI/2Y2dA01s1YOa4iyBqoBksURNRWZgYGBaSeJgpK16R0eHPxh77z1km43e1FRsgXl2vthYfv6Nb6iyOMlqJV2DEmw4BnRDeILdcDuS1vl89CUnk9jXx2UffkiM1wtAd1oa1qVLke+/H4vVSldXl3rtbNmyheTkZPVaMZvNZGVlabBTAoFAIIh2RAAmuHjxeOjesoWGhgYATOXlk97kxSqJg4nZquuLipD+/ncko5GymhrVNl+S5aipyCiujVpIVMNFZmYmixcvZvHJk/i+9jUaCgt57eabaSosJMbjoTs9nSOLFnFk0SIA8t97D6mvT+0fG2GrPkV0d3er16NWAVgkHEktzz4LgMlqVYMvdDrSenpY8I1vsODmm/H5fLS0tIQkMNxuN8ePH+f48eOAvz9TqY4ZjUaSNTBOEQgEAkH0IQIwwcWJIonLzoZPfIKiujohibtAxmOrXldfT92iRexetIjYoSE8cXHoPB4S+/vx6XToNGyKi0RFZtrLxfR6dD4fBQ0NdAZcEu/83e/wxsZikSRks5k6vZ6mgQGa3n+f999/Xz2PysK/uLg4YkH9cBRZbWFhIampqZPeXqQcSa2yDD09/squwrASrE6nIy8vj7y8PC6//HI8Hg9Op1O9Xmpra2lra2P//v3s378fnU4XMheutLRUk7lwAoFAIJj+iF97wcVH0KpMXroUiC6TgukoiYMxbNVffBH5739HliS609MBvyTut/feS0pPDyarFcliwexwcB5T9SkjGiVxLqA/KYkkt5uymhpifD5MVits3Uqv2Yz1tdeQA8Fye3s7DocDh8PB9u3bSUxMDJkLl5OTE7HAU8tjHSlH0oGBARxuNwDSY49BR8e4TqrSD1ZeXs7atWvp7+8PSWA0NzfjdDpxOp3s2rWL+Pj4kLlwBQUF0z8hIBAIBIIJIQIwwcVF0KrMB+ogY8liiRpJnN1ux+v1kpWVRXZ29uQ3GCbS09NZVFHBoi9/GR/w+89+FqvZTG5TE52ZmfSmpnJ8/nyOz58PVis5P/tZSP9YiK36FBEsiTMFeqomSyQkcXKwJE6JQAKL9ZQnnmDeggXMW7AA8M+FU2SkSl/fyZMnOXnyJOCXNyrBmMlk0qQyNRo+n0/TACxSjqQOhwOv1+uXqF533dlS9wWSmJhIRUUFFRUVAHR2dobMhevp6eHMmTOcOXMG8PdnBs+Fy8jIGN8bhS36FwgEAoFWiABMcHERtCprycvzy7S8XmrKykjq70fvchFzCUriwl2R8blcuEpKALj59dcpamigtqQE2WxGnj0bZ1ERra2ttLa2sm/fPtVWPVh+FTsFi0RFEldUVBRVkjg5IIkzBb4rwJgl2OzsbJYtW+a3Vfd6qaurUxf9NTU1dHR0hMyFKyoqUhf9Wtqqt7S00NnZqTo+TpZIOZJqOVg8mIyMDCorK6msrMTn89HY2KieF7vdTk9PD0ePHuXo0aMA5OXlhcyFS0xMHLnRsEb/AoFAINAKEYAJLi6CVltK9YuYGHasW8eOdetIcrv9sriqKqSFC8e2VZ9CtJbERaIi43zgAVUSp6+rI8bnw1BTg6GmhnVf+xp9H/3omLbq7777LvHx8RiNRjUgy8/Pj8h5iVZJXE1AEmf+l3+B9vZxR9UxMTGUlJRQUlLCmjVrGBwcxG63q+eloaGB+vp66uvr2bNnT4ituiRJFBUVTbh/TDnWZWVlmgR1kXIkjUQ/pk6no7CwkMLCQlauXMnQ0FDIXDiXy0VzczPNzc188MEH6HQ6ta9PkiRKSkqI/fOfIxD9CwQCgUALRAAmuLgIWm0pAVhFVRU6wGoy0ZecTNXcuVQ1NsLPfja6rfoU0t3dTWNjI6CNJC5iFZmGBmhsRJLls5K4oIpMEoxuqx7419vby+nTpzl9+jQAaWlpIfKr9EB/mZZEqyQuRKK6ceOEJXHgnws3Y8YMZsyYAfi/f1arVT0vnZ2dI2zVh8+FOy+B8qu8bx8AkkZSz0g4kgZfj5Hsx4yLi8NoNGI0Glm/fj1utzskgdHa2kpNTQ01NTXs2LGDhIQEjKdPIy1fjiTL5DU3o34rtIz+BQKBQKAJFxyA7dy5k5/85Cfs37+furo6Xn/9dW666aYxX//aa6/xi1/8gkOHDtHf38+8efN49NFHufbaa0Ne8/jjj3PmzBkGBweZOXMm3/rWt/jsZz+rvsZoNGK320ds/6tf/Sr//u//DvgXVI899hj/7//9P9ra2rj88sv593//d+bNm3ehH1MQrQRWZZ66OqyBhd6VO3dSXFeHNyYGV3Ex8uLFyDffTM1otup6fYj8KtKuZEpAoNfrJx0MRqoiAyAH+rlMN90EN9983oqMaqu+eDE+n4+GhoYQ+VV3dzdHjhzhyJEjAOTn56vnxWAwjC6/ukCCJXHlGowoiJQkLnhEgdZVwrS0NBYsWMCCBQtUW3XlvCi26idOnODEiRPAWVt1JYExwlY9UH71ulzYHnkEkpKQ7r8fvvvdSUf+kXAkVY51UVHRlCZnkpOTmTNnDnPmzAGgvb09JIHhdrs5ZTBwKiDtTO/sPDsXTpZJ6+nRzI1UIBAIBJPngleXPT09LFq0iLvvvptPfOIT5339zp07ufrqq3n88cfJysriueee48Ybb+T9999n8eLFAOTk5PDP//zPzJ49m4SEBN58803uvvtuCgoK1EDtww8/xOPxqNs9duwYV199Nbfeeqv62I9//GOeeuopnn/+eWbNmsUPfvADrr76aqqrq8OSQRdMQwKrMtcDDzCQmEhyby/6+noAYnw+Sp1OSp99lis3bWJgYCBEftXY2EhdXR11dXXs3r2buLi4EfKrcMviorEiMzAwQG3gjczXXQcXaByi0+koKiqiqKiIK664gqGhIWpqalTjiLq6Opqammhqahphq67IryYii1N6e7Tqc4q0JM4cmLkWLoJt1ZW5cOeyVQcoLi5Wz0vZ/v3EffKT4PPhLC09K1E9ckSz8mu4HUmVHsHp5EYK/oHoS5YsYcmSJfh8Puqffx7Lb36DVZKwGwx0ZWRwuLKSw5WVABQ0NPiDsTNnMFxxxbSZCycQCASXKjqfb7T8+Dj/WKc7bwVsNObNm8dtt93G9773vTFfs2TJEq6//nr+9V//ddTnH3jgAd58801Onz6NTqfD5/NRXFzMAw88wObNmwHo7++nsLCQJ554gi996UsjttHf309/f7/6352dnZSVldHR0TF+xynBtGT7L37BjsZG5h4/zq2vvup/sKzsnKuyrq6uEPlVV1dXyPMpKSmq/MpsNpOZqa2xus/n4+mnn6arq4vPfvazk170vfQSfPrT53/diy/Cpz418fc5deoUL730EllZWdx///0T39AY9Pb2hpyX9vb2kOcTExMxGo3qwj83N/fcgXJAEvfyvn1U9/SwYf16Vk92cnZgs0bj+SVxVuvEqzLd3d08+eSTADz88MNTWpXp7+/Hbrerg4ebmppCno8bGsJgsyFZLLRlZ7PvssvOXo9aHIwgwmEyE3w9fuYznwl7wDsptm+HdesAqJo9m/+6/XYS+/rIbmujfljEHxsbS1lZmdpvqdfrp2wunEAgEEx3Ojs7yczM1Dw2iHgPmNfrpauri5ycnFGf9/l8bN26lerqap544olRXzMwMMAf/vAHHnzwQXWhZbVaqa+v55prrlFfl5iYyFVXXcWePXtGDcB+9KMf8dhjj2nwqQTTDWtAEifdfPO4JHHgt1VfuHAhCxcuxOfz0dzcrC4ubTYbvb29HD9+nOPHjwP+yq2WturNzc10dXWplbfJcrGYFKSkpDBv3jxVSjyarXp1dTXV1dWA310uuH8sxN0wIInzuFxYN2+GxESkr38dvve9qJLEaSFRnSyJiYkhc+GUfjFZlpFPnqQbsMyYgSXQXwbQnpnJwcpKzLJMhoaSuHA4kirXo1YSVQi/GylOJ/aADHHe8ePc+D//Q09KClZJQl6wAPmyy+jo6MBms2Gz2di2bRtJSUkj+vqmmzGRQCAQXGxEPAB78skn6enp4ZOf/GTI4x0dHZSUlNDf309sbCz/8R//wdVXXz3qNt544w3a29v53Oc+pz5WH5CZFRYWhry2sLBw1N4xgO985zs8+OCD6n8rFTBBdNPf369K4qSNGy9YEgf+6m5+fj75+fmsWLECj8eD0+lUA7La2lrNbdWVxbVWvWeRMCmAyEniFM5nq97Z2Rliq15YWOhfXNbVYfjCF4gfHMRVVnZWohpFkrhIOPJNlIyMDBYtWsSiRYvwvfgiTd/8JhZJ8gdhZjPodLhKS/lLaSkAuc3NSIcPY9brx7ZVn0KUY20wGDSRqEbCjZRbbsEaPPsQSHW7mX/8OPMfewzfzTfT2toa0tfX19dHVVUVVVVVANPOmEggEAguRiIagL300ks8+uij/PnPf6agoCDkufT0dA4dOkR3dzdbtmzhwQcfRJIk1o6S1vzNb37DddddR3Fx8YjnhmfufD7fmNm8xMTEaXfTF0wem82G1+slOztbs0HGSha8vLycdevW0dfXp52t+nCXOKNRo30Of0Wmq6tLlZ4ZNdrvC2E8turKv/eA2M2bKaupQef1+vfZakWnsSNJuIZ0a+3aGE50xcUUNDZS0NhIbmsrlhkzSOvqYvGBA8hmM67iYlry8mhpb+fDl19WbdWV66WkpGRK5sIFE2x2Mlki5Uba9dJLNJ48CT4fpkD/WnD0rwNyc3PJzc1l+fLleL1eXC5XSAJjuhkTCQQCwcVIxH5JX3nlFT7/+c/z6quv8pGPfGTE8zExMaoVcmVlJVVVVfzoRz8aEYDZ7Xb+8Y9/8Nprr4U8XlRUBPgrYfogTVVjY+OIqpjg4iYSi9SkpCRtbNWDJHE2jSVxELmKTHFx8bTIlI9pq75nD3J1NZ2ZmdiCFtRnZs7k1VtvxSTLmGWZ7CiQxGklUYXISOKUcRCzqqtZv20b67dtoy8pCeuyZcibNyNbrSG26jt37vTbqgf19eXl5UVUFufxeLDZbMDkK7uRdCO1zpkDJ0+iT08n5Te/Oe9JVQxtSktLufLKK6elMZFAIBBcjEQkAHvppZe45557eOmll7j++uvH9Tc+ny/EIEPhueeeo6CgYMR2TCYTRUVFvPPOO6q74sDAADt27Bizl0xwcTIVVYIJ2ap7vUg/+xmGxkYaSksZSEwkpaeHIg0lcRC+igxoWyUIB6qt+rFj+J5+mpbcXE5VVPDO1VeDTsdgQgIn5s3jRKC/LHvPHkxdXZjN5tFt1acQrSWqkZLEKQGYFNh/dDqS+vuZ881vMueGG4BQW3Wr1Upvby+nTp3i1KlTgF8hEZzASEtLm+QOnhun08nAwADJyclqcm+iRMqNFIJ++xYtglESnecjISGBmTNnMnPmTMCfwAhOLHV1dan/H0KNiSRJIisra3IfQCAQCC4RLvgu3t3dzZkzZ9T/tlqtHDp0iJycHMrLy/nOd76D0+nkhRdeAPzB15133smzzz7LihUr1F6t5ORk1UXuRz/6EcuWLcNsNjMwMMBbb73FCy+8wC9+8YuQ9/Z6vTz33HPcddddIxYgOp2OBx54gMcff1y9gTz++OOkpKTw6fFYwQkuCjo7O2lubgamLigYy1ZdWbi4XC6/rTrw/qc/TYzHQ1rAcbGwvh6fTueXxWk4ODUcFZlgSdy0dogD0OvRAXktLbQ0N4NOR1ZrK5tefx1ZkpAlidrSUtqAtiD5VXFxsSqLKysrm1L5lZaJhUhJ4jpfeommc0jiFEbYqtfXq9eLw+Ggq6uLw4cPc/jwYQAKCgpC5sJpbasefKwnW+GJ1Hw4n8+njlbQKvmUlpY2wphIOS+aGBOFrQQrEAgE05sLXk3s27ePdQG7W0A1sbjrrrt4/vnnqaurw+FwqM//8pe/ZGhoiPvuu4/77rtPfVx5Pfhni331q1+ltraW5ORkZs+ezR/+8Aduu+22kPf+xz/+gcPh4J577hl13x555BHcbjdf/epX1UHMb7/9tpgBdgkRLImbLtWLuLg4TCYTJpOJDRs24Ha7sb75JvILLyBLEm05OXQGMsdWs5kfP/IIRpvNP0j1738n97rrpqXMp6mpie7ubuLi4jQ1rwnLmmwUSZzZYqGspoaymhqu2rmTfpMJ+1//isVqVW3VXS4XLpdLlV8ZDAZ1gVlYWBix8xIsiZvs4jqikrjZs+HkSYozMsYliQN/AkOv16PX61m1ahWDg4MhCYy6ujoaGxtpbGxk7969xMTEUFZWpp6X4uLiSduqaxnsRsqNtLm5Wb0etZKoBhNsTHT55ZerxkTBc+GGGxOFzIUrKwvt6wtrCVYgEAimN5OaA3axES6vf0HkeO211zh69CirV69mw4YNU707YxM0pKu+sJBffulLEBNDYl8f/cOyxue0VZ9C9u7dy9///nfMZjOf+cxnNNlmWNdkgbLPv3/1qzTn53PrK68wt6rqrCPJsLJPiK26LNPd3R2yuZSUlJDzovVcuGAcDgfPPfccKSkpPPTQQ5MK/IJGRp2TbdsmXzV9/fXXOXLkCKtWrRq193cijGcuXLAsLicnZ/zHy+Ohf9s2nti9Gx9w/9e+RlZu7qT2NxLz4eDs9ShJEp/97GcnvqEJ0tfXFzIXTlEiKIQYE1mt5H/mM/5KfzBjXIsCgUAwVVw0c8AEgnARbZI4hfasLIiJIaelhft+/nPq9XpVFucwm8e2VQ/Ir7SwyJ4IWvfahV0WF5DENZ88ic7rPackDobZqvt8NDU1jZgLd+zYMY4dOwb43eWU82I0Gic9Fy6Y4F67aJLEheN6DJ4L5/P5aGtrG2GrfvLkSU6ePAn4+zODA+UxzWIC0b8tJQXfpz9NTksLWZWVk47+I+FGCv52AJg6h8ykpCQqKiqoqKgAzhoTKcFyT09PqDHRgw/6q/yyjEmWyejq0r4EKxAIBNMUEYAJLhoaGxvp6ekhPj6e0sCsIS2IlCROsliI8fkodrkorqtjtd3O4C9/iSNo/lh9ff1ZW/X33iM2NjZEfqXX6yctvxoPWkri/NuLjCxOrqjwS+IyM0n+7W/HfUJ1Oh0FBQUUFBSwcuVKPB7PiL6+lpYWWlpa+PDDD9W5cMp5mchcuJD9jkJJXLgkqsHodDpycnLIyckJmQunXC8Oh4OOjg4OHjzIwYMHAb9jbrCtenx8fEj0L193HQAmWdYs+g+3G6nW16MWDDcmamxs9J+XffuwNTbSnZ7OkUWLOLJoEQD5jY2qG6nBZiNRI0dSgUAgmI6IAExw0RA8OFUrs4SwSeKCXeIC1YFglzgAnnmG+KQkzGazWkHo6ekJcSXr7OzEZrNhs9nYunUrycnJar+Z2WzWbA7acGpraxkcHCQlJUWTMQ+RcopTK0mLFsEkJKqxsbEYjUaMRiPr16+nr68vRBbX2tqqzoVTbNWD+8fOORcuGI+Hvm3bqK2pAUAyGCa8zwqRGtCtGEJoeT2ej+C5cIqtusPhwGKxqLbq9fX11NfXs2fPHmJjYzGUl2N65RXMRUUU1def7RGUZU2j/3C6kdbW1jIwMEBKSsqkXRvDgU6no7CwkMLCQq6w2xl68EFqysr43+uuo7GwEHw+mgoKaCoo4IMVK4jxeCj94AMknQ5JkigpKYlIYkkgEAgihQjABBcNWluiR0IS1/Hii7RUV/slcYEM9rnS4qmpqX5b9QUL8Pl8tLa2qtl+q9WK2+3mxIkTnDhxAoDs7Gw1GNPSVl1LlziIjCwunBLVpKQk5syZw5w5c4DRbdWD5VeKrbrSqzSqUVAg+renpuL71KeEJG4CJCQkjJgLp5wTi8Xit1W3WpEvu4wtl11GkttNX3IyeL1kt7b6N6KhT3w43EhB++sxrOj1xHk8GG02egNy0NteeglvbCyy2awaEzncbhzbt7N9+3YSExND5sLl5uZO/88pEAgE50AEYIKLgqGhIex2O6DN4jqikrjqaoozM0m6AEkc+LPKubm55Obmctlll+H1eke4krW1tdHW1qa5rbrW/V+RkMWFS6I6Ghdqq56fnx/SP5bw5ptq9G8JSOIkIYmbNKPaqr/6KvKuXdiMRn/wBRATwy+/8hVyWlpUWZyxtpbp4as6knDM4wv3kO6mgQG609OJGxxkhsVCnMejmuK0zZ6N/LvfIdtsamKpurqa6upqYPoaEwkEAsF4EQGY4KJAkcSlpqZSUFAw6e1FShKnVgkqK2H9+olvCFQ77rKyMq666ioGBgaw2Wzqwl8TW/WAJM4ZODhaSOIgMrK4cEhUx8N4bNWbmppoamri/fff959HpxPTmjWYZTmkRzCaJHFaSlTDgWqrPncul993H56YGF789KeRZ8wgo6ODrvR0WnNzac3NZf/y5egsFop//euQvr6pnAun0NfXh9PpBLSr7EZiSLflpz8FwGC3E+fx+J8L/P5k/+AHLF2+nKXLl+P1ekckMKarMZFAIBCMl6m/ewgEGiAkcSNJSEhg1qxZzJo1C8AvtwrqH+vu7sZisai9Oue1VVdc4tLS8N1+O7nNzWQuWqTJqiwSsrhwVAkmQnx8vHqMYXRbdbtej12vZ7sSlPt8tGVn05KbS05LC7ppLokLHgg87aVigeg/xumkIdA/dfPrr6Ovq8NmMPhlcRUVNGdl4XQ6cTqdvPvuu8THx4ckMAoKCqbks9psNnw+Hzk5OZqMQojUkG6rzQZdXf7EgsIoJdiYmBiKi4spLi5m9erVDA4O4nA41OtluhgTCQQCwYUgAjDBRUE0SuIaGhoiJokDf9/RcFt1ZRFzXlv1o0dJuu02vyTuox8FtJXEQXhlcVpLVLVkhK36Cy8g//znyJLEmRkzGExIAJ2Od669lneuvZbM9na/LK66GtPy5dNSfqX19QhhlMQFov/Gr36VnrQ04gcGKK2pIc7joeL0aSpOn4Z776XzIx8JSWD09PRw5swZzpw5A/j7M4MTGJGaJanlsY6U9Nrj8WDr6wNA+qd/gq6ucZ/U+Pj4EcZESk/faMZESUlJI+bCCQQCwVQjAjBBdOPx4N66FVdAghONkjij0Tgpi/KJEGyrvmLFCjweD7W1teri0ul0htqqe72U3HMPkixzKlBR01oSB+GTxWktUQ0XOp2OHIOBnH37WLZvH/+9aRPHFi7EYLWiAxzl5XRkZXFoyRIO1dfDT386uq36FNLX14fL5QK0nREXNkkcwKZNyE1NUF8fKokLiv4zgMrKSiorK1VbdeV6sdvt9PT0cPToUY4ePQpAXl5eSF9fYmKiBjs6Ei2r6JGSXgdfj4XXX3+2zD0BUlNTmT9/PvPnzx/VmKivr4+qqiqqqqoAf3+mcl5MJtPYc+GCCVv0LxAILlVEACaIXoZJ4vKamshYuFBI4iZAbGwsBoMBg8HAunXr6Ovrw2az+Rcyx4/T4nZTW1ZGrTLPyedj3/LltGdlIcky+TU16DSa2xMOWVw4XOLCbVLgczqxBgKYtdu3Y7TbGYiPx2EwYFm0CHnDhlFt1cvLy0PkV5GWxVmtVnw+H7m5udEjiQPktDQApGuvheuvP+dJDbZVX7lyJUNDQ9TW1qoLf5fLRXNzM83NzXzwwQeqPb5yXkpKSjRJunR0dNDS0oJOp8NoNE56e5Ea0q1IVLUYLB7MaMZELpdLPS81NTW0t7dz4MCB8RsThT36FwgElyIiABNEJ8GDU6+/HhCSOC1JSkpi9uzZzJ49Gzo76fjKV5Alif1Ll+IsLQWdDsuMGVgC9t7pnZ1IBw9iys4e21Z9CtFaEhcJk4JgSVxZ4I0ShoaYYbEw44knYNOmUW3Vlcz/li1b1LlwysI/XHPhgolGSVzw9Shdcw1coHFIXFycOhcOwO12n01gWK20trZSU1NDTU0NO3bsICEhQbVVN5vNE7ZVV451SUkJSUlJF/z3w4nUkO5IjSiIiYmhtLSU0tLSiRkT7d6N7tZbwx/9CwSCSw4RgAmij2GrMsUlzmCzRY0krqamhqGhIdLS0sjPz5/cxsKNXk9mRweLDx5EliScpaUs2bePnNZWrJKE3WCgKyODw52dHH7jDWAUW/WEhCnbfbfbrakkLlImBZYgSVzsKJI4GMNWPaivb7S5cMHyK63mwgWjZQA2FZI4LSSqycnJI+bCKcGYLMu43W5OnTrFqVOngLO26kqwnBaoxo1JoPwqB6o4Jg2qXxAZ6XWwa2OkRxRcsDGR2420aROSLCNZLGR2dvo3pPF9RiAQXHqIAEwQfQStytqzsmjNzQWfj9c3bWK/w4FksSDJMkU7d6Jbt27SbyckcWclcUqwu/DIEQwOB6v27GEoLg7HkiXIP/gBstU6uq16WZkq8ykuLo6oK5niEpeXlzdpY4RIVWQA5IC5hrRx43klcRBkq56fz+WXX47H4xl1Ltz+/fvZv3+/ao+vBGSTmQun0N7eTmtra9RJ4sI9yDgrK4ulS5eydOlSdS6cYhoxlq26cr2MsFUPlF99TifyQw9Bairmb38bvvOdqJBeay1RnQznNCayWOhNTubYggUcW7AAgNzmZn8wJssYrVaSNHIjFQgElx4iABNEH0GrLSUgiPF4GIqP91tGByR9Kbt3I7W2qguZqb7ZBxONkriG++6jNzWVhP5+SpU30umI83iQNm9GuvpqYAxbdbsdu93O9u3bSUxMHOFKFs4+pWisyIRIVK+5BiZQlVH6wcrLy1m7di39/f0h8qvm5mZVfrVr1y7VVl25XiZiqx6tkrhwuDaORfBcuPPZqu/duzfUVt1uR3/XXcR4vTQUFtKbmup3bTx4MCqk1xDZY30hjDAmevFFar/zHWSzGUug8t+Sl0dLXh4fXnaZ35jI6UQ6ehTJZKK0tDTiZkoCgSB6EQGYIPoIWm0pAdjqXbuYf/w4FknCKknYjEZ6ExNDbNVzcnLUnguj0ajJAnEiBEvitDDgmBJJnNfrf3yUVVmwrTpAa2ururhUXMlOnjzJyZMnAcjMzFQX/SaTSXNbdS0XfJGqyIRDopqYmEhFRQUVFRUAdHZ2jmmr/s4776i26sq5OWf1cJgkTooiSZzWEtULZSxbdeW8dHR0nLVVB5IefhiT1YpyOAw2m1+iGgXSa5i+AdhwYouLMTgcGBwOTFYrv/vc50h0u1l49CiyJNGSl+c3JmptZefzzxMfH6/29UmSRH5+/vSfgScQCKYMEYAJoo9gl7hAAGO2WMhvaiK/qYkVH3yAp7yc2m3bkAMZf6fTSWtrK62trezbtw+dTkdJSYm6uIxk9lJpQM/Pz48qSZxVkcRddx3ccMO4V2U5OTnk5OSwbNkyvF4vdXV16uKypqaGjo6OEPmVlrbqWkvipqIiE65FXEZGxgXbqivXS4itepAkzhqQxEmbN8M//VNUSOK0lKhqwWi26rIsI3/wAdbaWvqSk6maO1d9vbO0lP+58UYkWcYky6RMYzdSra9HhbDIr4OifyXRN+v0aT761lsAdGRmIi9divzlLyMH5iiePn2a06dPA/7+zOC5cNPNmEggEEwtIgATRB+BVVn9176mSuJKAk3dyqos9qmnMJhMGEymEFt1ZYHZ0tJCbW0ttbW1vPvuuxHNXmppPz8VkjhpgpI4QLXjLikpYc2aNQwMDITIrxoaGrSxVVcqMoEqW2lJiSZzmCJRkYHIjyi4EFv1Dz/8EJ1OR2lpKVJ/P9L//b+UuFw0BkviDh2KGkmcYrgwHSsywbbqy8+cwfuNb+DS6zkzcyY7rrwSYmJwp6RwYOlSDixdCj4f+r17kYaG1ATGZPv6tERriSqEUX4dFP0rAZgU2H90OjI7O1l8330s3rQJn89HQ0NDSAKju7ubI0eOcOTIEWB6GRMJBIKpZ/r8MgsEF0LQ4FSjzXZOSRwMs1XHPz8nWH4VyeylloNTIyWJczgcDA0NkZ6erqlrY0JCAjNmzGBGwM6+u7tblV9N2FY9aEUm33ILzJ+P9Je/QHZ2VFRkploSBxdgqw7suOceEvr7yQg4xBW7XMREkSQuUpbok0avJ8brpdTpZDA+HtauJbWri4/95S9YJQlZkmgsLKSuv5+63btVW/XgBEZRUdGUyuLC0fsaVvn1pk24X3kFV0DGLgWC9eH3GZ1OR1FREUVFRVxxxRUMDQ1RU1MTksAYbkxUWlqqSuIjbUwkEAimHhGACaIWOSUFAOmjH4Ubb7ygVVlmZiaLFy9m8eLFF5y9NBgME66mtLW10dbWRkxMDAaDYULbCOZiksSBP/BdsGABCxYswOfz0dLSEtI/dl5b9b/9TV2R+XS6s5nrQ4fgf/4nKioyWkpUtWJUW/W//Q3ra68hSxLulBSaA4G53Wjk6QcfVN3ipC1bSLvmmknvg5DEBUniAskbsywz6/RpZp0+DTodXTNnYn3lFVV6HWyzDv7+TCWBEWljIp/Pp363tUg+RUp+bZs/H9+JE+SlpJDxy1+O64TGxcVhMpnUCvZoxkQOhwOHwxFiTKRIfMNtTCQQCKYeEYAJopLBwcGzkrhrr4VJVGXGyl4qN8tzZS8lSaKkpOT82UtFEldVBQhJ3HjQ6XTk5eWRl5fHZZddhtfrxel0qlnlUW3VGxqQ1q1DkmXiBwdxp6T4JapKpBQFFZmpONYXSlZWFkuBpX/6Ez6djtqSEp6/+268sbHEDg3558JVVnK4shLee48CiyUkgTFd5FeK/LC0tFST6xGmThIHkP6jH7GwspKFgb6+5uZm9XqxBfqUjh8/zvHjx4GzxkRKAiOcxkT19fX09vaSkJBASUnJpLcXKfm1KlGdPx+uu25C2xhuTNTW1hYyFy7SxkQCgWDqEQGYICqpqanB4/GQnp5OXl6eptsOzl5u2LABt9sdkr1sa2sbkb0M7h/Lzc0NzV4GS+JuvRXmzUN64w3IyooKSVxvby91AQ3jVMq0lHliZWVlqq263W5XFzJNTU24CgpwFRSw68or/TI4IKOjg+b8fAoaGtBpOLcnHBUZ0FaiGlYCZVWdz8dgfDze2FjSurr4+rPPUlNejixJyGYz9Xo9jY2NNDY2snfvXvU8KtfLVMqvtJYfRkQS9/LLuAIVYDUAG6X8GjwXbsWKFepcuOAERiSNiZTvtdFo1GS7kZJfh0Oimp2dzbJlyy7ImEg5L+c1JgrbQEiBQKAlIgATRCXBjfPhlmokJyczd+5c5gacx9ra2kL6x/r6+qiurqa6uhrwu8up/WNVVaTefjv4fHh1OtW1UYoik4JgSdx0cvJKTExk1qxZzJo1C4DOF15AfuoptR+mO7CvzQUF/OdXvkJqd7ffKe7kScxLlkwbeV8wWktUFSIliZNkmYShIcyyjNlqhepqeo4dwxpktNLR0aHOhdu2bRtJSUlqAsNsNpOdnR0R+ZXP59O0JylSkjjr/PlQVUV+Sgrp45TEQehcuAsxJlIW/pM1JtK6shsJ+XW4JKrBDDcmUtQdoxkTvffeeyOMiYqKis4mMMI6EFIgEGiJCMAEUclUNs5nZ2ezdOlSli5ditfrpb6+Xs0qOxwOOjs7Q7KXhV/6EpLFQmZHB+6UFBL7+s66NkaRJG66mxRklJdTefgwlYcPMxAXxxPf/jbeuDjKbTbqiovpSUvj6MKFHG1ogKefHttWfQpRjnXUSuIUk4Kg8mtqRsboturnmAsXbICTEuj11Jr6+nrcbnfUSeLU63HBAti4ccLbiZgxkcfD0I4dOJT+ryiaEReO6/F8xMfHj2lMJMsynZ2doxsTdXQgPfII2W1toRvUdCCkQCDQChGACaKO6SKJA3/2sri4mOLiYjV76XA4sFgsyEeO0NDTQ0NREQ1FRerfxHo87L7iCsyyTFFtLTGXoCQu3BWZ2vJyvHFxpHd28rnnn8cbG0tNWRnyokXIN9wwtq16UF9fpObCBaN1lSASkrjel1+mbhySOBhmq758OV6vF5fLNUJ+dfDgQQ4ePAiAXq9XA+WysrJJzYULRqmiR5skLlwJkbAYEwWif0d8PEN33UV6Zyd5y5drUpGJhPx6OiSfzmVMZLPZzhoTAdx/P9mtrX7zG4sFk81Gstut7UBIgUCgCSIAE0QdSvWroKCAtLS0Kd6bUOLj4zGbzf5gpaWFni98AdlkQpYkji5ciCcujt7UVLZ+5CNsBZJ7ezHt34+Unj62rfoU0traSnt7u6aSuEhUZCxBkjgdEOv1YrTbMT75JOs3bVJt1ZWFjGqrXlPDjh07SEhICOnry8vLC7sszuv1RqVLnHXevLOSuP/3/y4oolYMbUpLS7nyyisZGBgIkV81NjZSV1dHXV0de/bs0dRWXevFdSQkceGSqA5HE2OiN95Qo3/5Ix8BAtejhhWZcMqvtZaoasFYxkTyli3IO3dSW1pKW04O+3Ny2L9sGfh8FLtcakBWtmMHcevXT/XHEAgEiABMEIVM58GpIej1pPb0sODYMWZXV3Nk4UIArty+nYaiImxGI+6UFE50d3PizTcBv7wx2P0qOTl5Kj+BugApKyvTxLkuEhUZ/vQnrNu2AWPP7RnNVj1YfuV2uzl16hSnTp0CID0QICv/whH4X+qSOPDPhZs5cyYzZ84EUOfAKedluK16cnJyyHnJyso6/5t4PAxu347DZgOEJG48TMiYqLoaaflyJIsFS7Bro5bRP+GTX2t9PYYD1ZgoMZGrnnuO/oQEXr31ViwzZ5Lc24s7JQVXSQmukhJ2rVlD3K5dGFwu9XopLCwUdvcCwRQhAjBBVBGurGS4JXGOgCQuo6ODtdu3owO8MTE4Fy9G/slPkG021Va9ra2NAwcOAFBcXKzeLMvKyoiLi+wlq6UkLlIVmd6NG6k7ehQA6eGHoazsvCc0KyuLJUuWsGTJEnw+H/X19SHyq66uLg4fPszhw4cBf/VVa1v14GOthStgJCRx4a4SpKens3DhQhYuXDiqrbrb7b4wW3VFEpeQgOfOO0nv7CR32TIhibtAxmVMZDRSrQS3gYPRn5BAT2oqqT092kT/AcIhv9ZaohpWAmXVxIEBWnNzAbjpjTcoqqtTTYkUYyKLxaJ+ttTUVPVaMZvN09KYSCC4WBEBmCCqaGtro6OjI+olceh0xPh8lP3TP1G2bh1XgWqrriximpqacLlcuFwudu3aRVxcHAaDIWLZS60lcZGuyBQUFJD22c9e8N/rdDr0ej16vZ5Vq1YxODgYIr+qq6sLi616tEriFIlquFziFCZiqx6SwNi3j9hPfjJEEme2WKJGEhd8PU51ADacEcZEv/sd8m9/iyxJ2A0GvIEA5q0bbuCtG26gsL4eyWJBOnMGw6pVmvX1aUk4jnXYHOIDyb62nh7acnKI8Xgw2GwkDgyw6PBhFh05gq+0lKb338dis6kJjJ6eHo4ePcrRQMIqNzdXdSOdLsZEAsHFigjABFGFkrm72CRxMNJWPVhuJcsy3d3dI7KXJpNJXWBmZmZOYkdHUldXR19fH4mJiRQXF2uwPW1fNxZaBzLx8fHqMQa/CYzVavUbrWhhqz5MEidplFiIpCROq+vxQhiPrbrT6cTpdPpt1QcHMXz600iyTHVFBQCmKJTEJSYmTltJHASMiUwminftYvWuXfz5Yx/j0JIl6F0ufDod9Xq9akz0ntNJ7BNPhCQw9Hr9lM2FU1Cs4EHbGXFhc4gPJPvkxx/3b7e2lsSBAf9zgd8e3TPPUKDXU6DXs3LlSjweD7W1tervmMvloqWlhZaWlhBjIqU6NlXGRALBxYoIwARRhZZZyUhJ4nquvZZ6RRL3yCPjksSBX361aNEiFi1ahM/no6mpKcT9qqenh2PHjnHs2DHgbPZSkiSMRuNI+dUForUkLhIVmUg0zqekpDBv3jzmzZuHz+ejra1NrcJcsK26IolLTMTz2c+S0dERlZI4rVwbJ8M5bdWrq+kFzsycyZlAfxnAyTlz8MbEIMkyGVEkidMqQAl3RcbndGILfDfWbdvGzNOn6UlN9Uvi5s9HXr6czs5ObDYbNpuNrVu3qrbqysJ/KoyJHA4HHo+H9PR08vLyJr29sCf6ADZtQrbbobPzrBspjFl+jY2NxWAwYDAYWL9+PX19fSF9fcHGRDt37pwSYyKB4GJGBGCCqEFrCU6kJHHKPhcWFpI6AUkc+OVXBQUFFBQUqPKr2tpa9WbpdDpHZC9LSkrUm2Vpaen4s5eBVZn8wQcASFFkUhAOieq50Ol05OTkkJOTo9qq19XVqVnlc9qq19VRdu+9xA8OIl99NRBdLnFaS1S1JsRW/cUXaXjwQWRJ4siiRepYiKq5c6kK9DHlNTUhHT6MpNdPS/mV1pK4SFRk2r7wBdqzs/2SuEBFKbW3lwXHjrHg0Ufx3Xwzra2tIQkM1VY9MNpgKoyJgkdvTDbIiFSiz+v1Yh0cBED65jfhS1+6oKg6KSlpTGMiq9VKb29vxI2JBIKLGRGACaIGl8tFX18fSUlJUSWJC4drY3D2Mlh+pSxkWlpaqK2tpba2Vs1eKv1jZrN57OxlYFU22NBAzebNEBeHdM898K//GhUVGa0lqhdKTEwMJSUllJSUnN9WHYh75BHKHQ4a8/OB6JLEaS1RDSe64mKKGhooamigOT+fhqIi5hw7Rm5bG7Ik4Soupjk/n+b2dj54+WX1PCrXS3Fx8ZTKr5T5gqDN70jEKjItLeByUVZTQ4IiiQuK/nWgzoULsVUPXC9jGRMFz4ULhzGRlpXdSCX6QiSqN94Ik6ySnsuYyOFwTN6YKGzlV4EgOhABmCBqEJK4sRkuv1Kyl4qkpLe3l9OnT3P69GngbPZS6SFLT08PWZXZzWY8cXFktreTU1UVFRUZmD4ucQrDbdW7u7v9i5g9e5BPn6YrIwM5qHr0t+uu41RFhX9ujyyTNY0lcVpfjxAZSZwc+G4sOXSIGWfOsGHLFtzJyViXLUN++GFkq5W2trYRc+GCZXG5ubkRlV8pkriMjAxyAy53EyVSFRkAOTMTXC6ktWvhmmvOe1JVW/WyMq666ioGBgZC+vqCjYl2794dFmOi3t5e6uvrAW1+RyKd6NNSoqow3JhoaGgIh8MxcWOisJZfBYLoQARggunPMEmcKYokca2trXR2dqoVq0gxPHvZ0NCgyuJGy17m5+cjbd2KecYMDHa7GhSYZBldlFRkprskDiAtLc1vq378OL6nnqI5L4/dq1ZxePFidF4vfSkpHJ8/n+Pz5wOQs2cPUk/P2LbqU4jWwW4kJHGtX/wiHVlZxA4NUR6QxKHTkdzXx9wHHmDujTcCY9iqV1dTXV0NQEZGRojdfbjlV8FV9MkGGJGqyIRIxjds8J/MCyQhIeGCjIlSUlJCZHETMSYKcVHV4LxGItEH4XFtHIu4uLhRjYmU89Le3h5iTJSYmHjWMOrMGXLuuMN/XwlG0/KrQDD9EQGYYHoTWJUNNDRQ8+1vQ2ws5rvvjkpJ3FRZLet0OoqKiigqKhoze9nU1ETTggW8v2ABMR4PsR4PAFnt7XhjYojxeqf93B6Xy0V/fz9JSUnoJ7uaCTd6PTogv7lZXYhc9v77zD1xAtlsRpYkaktLaR0cpHXfvtFt1cvKpkwWNzAwEP2SuEC/zGjl1xG26sPkV52dnRw6dIhDhw4B/v7OYPmV1te6lsFupCoy4ZCons+YqLe3d+LGREqiL9CrKWlkLBOJRJ/WEtULZTRjouD+sRHGRPff76/yWyxIVispvb3al18FgmmOCMAE05dgSdyMGXhjY8lsbyc7iiRx03Fuz6jZyz/8AfnNN5ElifbsbHVuz/b163nviiswWa3+G6bdTo7PNy3dr6JWEheo1s04c4bymhrKa2pYu2MH/SYTtjffRA5IsJqbm0Nt1ePjQ+RXBQUFETsvDocDr9dLZmYmOTk5k9pWRCVxGRngcmFatw6uvXZcJzUmJobi4mKKi4tZvXq1uthV+i3r6+tpaGigoaGB9957j9jYWE1t1Xt6emhoaAC0+R2JVEUmHNdjMJoaEwUSfb7aWuQHHoCsLMyPPQa9vVGR6NNSojpZgo2Jli1bFmJMZD1wAEdrKx1ZWRxcsoSDS5YAUFRX5w/GZJlyh4N4jRJ9AsF0RgRggunJsFWZskiVLJaolMRNpwBsOCkpKcybNYt5//M/ALy3YgVvb9xIotuNDuhLTubknDmcnDMHbDYyn302RH6Vmpo6tR8ggNaW6JGSxHVmZhI7NIQhkMFWVmWJP/kJFXPmUBFwJevs7AyRX/X09HDmzBnOnDkD+OfCBcuvMjIyJrmTY6NUdk0mU1RK4swf+QhMcJZWfHw8ZrNZlbn29PSEnJfhtupJSUkh8/rGHbAqFZmA7LGwsFCTay0SFRmIfD/mhI2JuruRvvtd8hsbac3JOStRPXAgahJ9WkpUtSbEmMjpZOCRR3AYDFjMZt6//HJ8MTHU6/XU6/XsWb3a/1v44YeY4uIwm80UFRVNu88kEGiBCMAE05NhqzKlcb4vORm7wUBpbS2x01wS53Q6o0cSF7QqaywsBGDpgQNs+Mc/qNPr/bK4OXOoKSsbYateVFSkLi7Ly8unRGo5MDBATU0NoE3/11RI4uLPIYkDf99RZWUllZWV+Hw+GhsbR8yFO3r0KEcDM+fy8vJC5Fda2qpr2WsXKUlcuCSqqampLFiwgAULFuDz+UbYqvf19VFVVUVVVRXg788MTmCEzIVTCIr+5Y99DJYsQXrnHSgoiIqKjNYS1YlwzrlwwcZEAF/9KumdnWR0dACgd7n8ro1RkOiD6Wc+NCZ6PQmDg8w4c4bk3l72rlxJQl8fH33rLWwmExaz2W9M1NuLvGULW7ZsITk5Wb1WzGYzWVlZU/0pBAJNEAGYYHoStNrqTkvzBwU+nzq3J35gAKPNhnTiBNLcueTn50+7LFnwTXHaS+ICqzLfLbeowa4ky8T4fJTU1VFSV8eaBx5g4IYbQvrHGhoaqK+vp76+nj179hAbG0t5eXmI/CoS58Vut+P1esnKypr04NapkMRJFyCJA7/Mp7CwkMLCQlauXMnQ0BC1tbXqwt/lctHc3ExzczMffPCBprbq3d3dqiROi2rjxSKJA/95OZ+tent7OwcOHFBt1fV6fUgCI+4vf1Gjfx9B1f8jR+D116OiIqOlRFUrQubCKcZE77yD9e23sRsMdGVk0BWoGteWl/MfX/2qKoszbt9OwoYNk96HcCT6tJaoKoTlXhOU6FO/11Yri44cYdGRI/h0OlrmzcPyq18hW63YbDbcbjfHjx/n+PHjAOTk5KjBmNFojMhcOIEgHIgATDA9CVptyYFFXmZ7O2W1tciSRG9qKqdnzeJ0UxP84hekpaWFyK/S09Onas9VokoSB7BpEy1/+AOdp0+HusQFrcoSgBkzZjBjxgzAvxhX3K8sFgtdXV1q5l/JXiryq3BmL4OPdTRK4qRJSOLA39dnNBoxBhxC3W53iCuZJrbqwyRxRUISd17GY6uuzIVTbNXLbTaklSuRZJm4wcGzElXleoyCisx0lsRBkDFRXByr/vAHhuLisBsMvPSpT+GJiwOfj6aCApoKCnh/5Upidu2irKZGvV5G2KpPIcr3WiuJKoTxXhNUfg1O9AGg06ED8h57jLwVK7g80Nc3PIHR2tpKa2sr+/fvH2FMVFpaGpa5cAJBOBDfVMH0ZJRM2bzjx7n6H//Ap9PRUFiIvHgx8qc+hd3hoLu7myNHjnDkyBEgYKse5EqmpfxqPAwMDFAbuHtFjSQOkGfMgNOnKc/LI/6FF867KktLSwuRX7W0tIS4X7ndbk6cOMGJEycAv7tcsPxKq+ylsggRkjg/ycnJzJ07l7lz5wJnbdWVoMztdl+YrXrQisz68Y/D4sVRJ4lTJKpTKdMaj626XFqKHLBsT+jvByC7rY3elBQyOzqmvRspTE/zoVEJXHdxQ0Mk9vXhiYsjye3mvp/9DLvRiCxJyGYz7dnZqq369u3bQ23VA319UxVohmMcRFjvNZs2MfBf/0VN4F4tBYL10cqviqKivLyctWvX0t/fH5LAmE7GRALBhSICMMH0ZBRJnDlwo9EBRQ0NFN17L1ds2sTQ0BA1NTXqj7LL5fLbqjc18f777xMTE0Npaan6o1xSUhL27KXNZotOSZxyM1+6FFavvqC/1el05OXlkZeXx2WXXYbH48HlcqmyuNraWtra2ti/f7+avVTkV2azecLZy+7ubhobG4HoksQFG1mE+/sYbKvu8/moq6sbv636oUPEf/KTqiTOokiHDh+OGkmclhJVLRlhq/673yH/8pfIkoTNaGQgkDhqzs/nmW9+k5yWFiSLBfPp0xhXrJhWc+EUtJaoKkRKEmeyWknr7WXeiRPMq6qC0lJa9+9HttvHtlXPzFSrY5E0JvL5fJoGYJG61zgqK/EcP05mYiI5P/sZFBeP64QmJiZSUVFBRUUFML2MiQSCC0UEYILpy6ZNNP/hD3SdPk3c4CDlikvcsFVZXFycKqfasGEDvb29Ie5XbW1tOBwOHA6Hmr00Go3qj/K45FcXiJY3xSmRxGmw34odd1lZ2ZjZS5fLhcvlYteuXWr2UlnIjCt76fEg//WvAOjT0kjRoNIZKUncVFUJFNnOcFt15byMsFX3eCi7804kWSanpYWujIxQiWoUSOKCr8fpmhHX6XQUGI0U7N3Lir17GYyL4ycPP8xgYiIFDQ005efTmptLa24u+1wudD/+MSUlJer1EmKrPoUox7qoqCjqJXEAPPMMOfn55OTnh9iqK9dLTU0NHR0dIQmMSBkTtbS00NnZqTpATpZI3WvU63HuXHQf+9iEt3MuYyK73a6dMVHYmq8FlzIiABNMa2Sz2S+Jy88nbhySOPDbqo8mv1L+9fX1jSm/kiRJk0VDNErinE4nAwMDJCcnU1RUNLmNjcKFZC/feeed82cvA6syedkyqKxE+t//9Qfmk1yVXUqSOBjdVl3tHztxgo7+fmwmE7agakZiXx+HKyuRLBZyokASF47+r3BXZOqLihhMTCTJ7eZL//mfDCQmYjMasSxciHX1alpaW1VbdUV+FZxYmipjIq0TCxGRxL3yCjWBRboagI1Rfg22VV+zZo3q+DgVxkTK91qrIC9S95pwXI9jGRMFK2PGMiZSlDGjJjDC3nwtuFQRAZhgWqP+UC9bBqtWTWgbwfIrr9dLfX09FotFzV4Ol18VFRWpWeWJ3Ni6urpoamoCUE0RJsPFKImDSWYvjxwh8bbb/BKcT34SCCycNFqVhVsSFyxRnS4ucQqpqanMnz+f+fPn4+vupvXrX/ePIZAkTs2ahTc2lt60NP56ww0AZLW1IR06hJSfP7at+hSitUQVIlSRUaSeATfSpP5+ZldXM/uHP4RNm8a2VT99GmBKjIl8Pl+IAcdkiZQkzl5ZiffECbKSksi+AEkc+Pv6xjImUubCjWVMJEnSpCSxWhs9ReJeEy6J6nCCjYnWr1+P2+0OUca0traOMCZSEhiqMdHrr0em+VpwSSICMMG0xePxYLPZAO0yZTExMar8as2aNQwODmIPaPuHZy/fe++9EdnLoqKicwcnHg/yW28BUJyeLiRx4+RCs5c6r5fSu++msL7eL4lTJKoarsrE3B7QFReT29pKbmsrS/bv54nNm/HGxrL0gw9oLiigpqyM9uxsDnR0cOBPfwJGsVWfYlcy5Vjr9XpNgsNIVGT405+Q334bGLsiM6qtemBxabfbp8SYqKWlha6uLvV3c7JMiSTuxhsnviEiZEzk8eDduRNbINg2a5Dog8jca5T7jJYS1fGQnJzMnDlzmBMYbN/e3q5eL4ox0alTpzh16hQAGenpSPv3Y5o/H0mWSevpObsxrZuvBZckIgATTFsUSVxKSkpYJHHgl18FZy97enpCssoXlL1UJHHLl8OiRZjeeguefjoqJHH9/f2qa+N0CArGyl7Ksox8/Ditbjc15eXUBBZ53thYXr31ViRZRrJYyKupQaeBLE5I4s6uyJwlJQwmJpLc28tH//Y3Ynw+BhISsC9diuW738Vqs9HY2DjSVn1YAiPSsrhoNCnov/56ao8fB68X6etfB4PhnCdUtVUvKmLVqlUMDQ2FyOLq6uoiYkykVL+EJM7PcGMiZS7ceIyJJEmirKxsZAIjcJ9xAv333kuS203RqlWalOYjca+ZLsmnrKysEGMiRRmjJDA6u7o4NGsWhwKOpYX19ZhkGbMsU263kzA4qKkjqeDSQwRggmmLlrOdxktqauqY2UtlKOSo2cumJkz33UeS2418221AwLUxSiRxiktcdnb2tHKJUwjJXnZ20v7VryJLEtvXrqUrIwNfTAynKio4FegvS+/sRDp4ECknB0mSRtqqTyHBEtVolMSZrFZiAtFGwuAgMx96iJnXXQegzoFT5sJ1d3er1w/4+zOVTL/ZbCYzM3MSO3d+tHaJi1RFJuR6vOuuC/77uLg4dREP0NvbGyKLa29vD4sxkdaL60hJ4rSWqI5F8Fw4xZjIbrerC/+mpqZzGxPt2oXu1lvB50O+8kogIFGtrdVMEhfOe43W16NWKIGvXq8/a0z0u98hv/IKstlMvV5PQ1ERDUVF7L3iCmKHhvxz4QIBmf7KK6fNXDhB9CACMMG0Zap/qMfKXgYPhVSzlwCPPEJ+YyPd6enEDA2hd7miRhKnZd9G2NHryWpvZ9GhQ/z92msB2PTf/01nRgayJGE3GOjKyOBwZyeHX38dgIKCghD5VUJCwpTtftRK4t55Bzi3SUF6ejoLFy5k4cKF+Hw+mpub1cWlzWajt7eXY8eOcezYMQByAgGy2WzGaDRqbqve3NxMV1eXWombLJGuyGgVEKSkpDBv3jzmzZsHQGtra4gsbtLGRB4Pnh07sAXsv6UoksRpfT1eCImJiSFz4RRjIiVY7u7uDjUmcruRbr4ZkyxzKvA3kixrLokL170m2LVRi+sxXMTHx2OeMQPzP/4B//gHb15/PfuXLye3uZmhuDg6srJUY6JtNTUk/eQnI5Qx09VtVTB9EAGYYFoy3SRxEJq9vOqqq9TspbxzJ/LBgzQVFNBUWAiANy6OJx96CIPdrsriCnfuRLdu3aT24ZKXxIG6KnPGxDCQmEhKTw/zjx1D5/OxavduBuPjqVmyBMu//AtWm426ujoaGxtpbGxk79696nlUbpbFxcURzV5GrSTu2DHw+ZC+8Q0oLz/vCdXpdOTn55Ofn8+KFSvweDwhfX1Op5PW1lZaW1vZt28fOp1Oc1v1YJc4LXrRImWIo6WL6mjk5OSQk5Mzpq36OefCGQyh8kJFEqfTMfD5z5Pc24t+5UpNXOIuJUkcjDQmampqUg2j7LJMT3IyRxcu5OjCherfOMrKSOvuxmizkTjNHUm1lqhC+O8zOJ2q1H3dtm3MPX6c1pwcvzHRvHlYKyro6+ujqqqKqqoqwC9vDO7rm27GRILpgQjABNMSm82Gz+cjJyeHrKysqd6dUVGzl/v3w3/8B13p6fzx05+mQa8nob+fgcRELDNmYAn0l6Xu3o2ptVX9YQ63/Gq8dHZ20tzcDESBJA7UVZn8s58BfkmcTlmZ6XTEDw0hPfII0jXXAGflV8pCpqOjA7vdjt1uZ9u2bSQlJalz5Mxmc1izl8ESHC0W15GSxCnXY3Z2Ntl33jmhbSizigwGA+vWraOvry9kLlxLS4vmtupaL64jUZEJh0T1XIzHVj1kLlygemEymTDb7RTddRcxXi/yVVcB/oqMTkOXuEtREgeBuXAFBRQUFLBy5Uo8L75IzT/9E7IkcWLePFry8gA4UlnJkcpKvzFRbS3S0aPntlWfQsIxoiDc95nuu+6isbAQfD7/vQbIbWsjd98+ln/723hvugmXyxWSwGhvb+fAgQMcOHAAmH7GRILpgfgWCKYl0SaJA0jp7aU1NxeAzz33HLFeL7IkIUsSNqORnoSEEPlVbm5uyFBIreVX40VZgBQXF4/Pges8hF0SB7BpE7LFAr29ZyVxMOqqLFh+5fP5aGtrU4MxRX4VnL3MzMxUZXFaZy+bmpro7u4mLi6OsrKySW8vmk0KkpKSmD17NrNnzwbQ1lZdkcQF/lYrSVwkKzJaXY8XyoXYqm8Fkh96CJPVSl3AKMkURZI4rSWq4SS2uBij3Y7RbmcgMZGWvDykM2fIaWtDliRac3P9xkStrex47rkQW3VJksjLy5tSWZzH49E0AIvYfaatDWpr0dfVkdLb63886D4TA5SWllJaWsqVV17JwMBAiLPydDQmEkwPRAAmmJaEwxI93FKF2thYBhMSSOnpoaihAZ3PR0FjIyvefx9PeTm1W7disdmwWq04nU5aWlpoaWnhww8/VOVXysI/ktlLLY91xCRx/f3Uut0ASD/8IbS1jeuk6nQ6VX61fPlyvF7viOxlR0cHBw8e5ODBg4A/exk8F24y2UtlcW0wGKJSEhfOhMhoturBc+HGbauuSOJiYhi45x7/9bhihWaDU8NtiDPdKjJj2qp/8AFWlwt3SgonAr1lAO9eeSWu4mLMsozJaiV5GkvitJaoQmQkcXLgu7H0wAHmBgyh2rOykJcuRf7Sl5ADdvfBturp6ekhCYxIGxO5XC4GBgZITk5GP8kfpEjdZwDk3FyorUW6/HL/F/A8JzUhIYGZM2cyc+ZMINSYSJZlurq6RhgTBfePTVfFj0B7RAAmmHYokjidThddkrif/xwISHCCJHEAsU89hUGSMARunIr8SqnEtLa2qvKrnTt3qtlLZeEfruxltLrEhUhUN26c8HYUO+7xZC/37Nkz8exlYFUm79sHgCmKTArCIVE9H8G26ldccQVDQ0PU1NSEzIUb1Va9rw/pRz+ixOXCEnCJM1mtmkriIHwVmeksiYNhxkQWC97778dZUsIHy5dzbOFC8PnoyMriwLJlHFi2DHw+ivfuRfJ4xrZVn0K0PtaRuM90fe5zNBUUgM+HMZA8Q6cjq6ODJV/9Kks2bVJt1YMTGF1dXRw+fJjDhw8DkTcmUlQtWrgaR+o+E3I9rl0LE/iejGZMFOys3Nvby/Hjxzl+/Dhw1phI6R+bKmWMIPxMn19CgSBAsARHix+fiEkVzpwBt/u8kjgYKb9qb28PcSXr7e0dM3tpMpnOLb+6ABobG+nu7iY+Pj6qJHHhkqgOz14G26hPOHsZWJV56uqwbd4MCQmY77sPvv/9qDIpmCpJHPht1ZU+vQ0bNuB2u0Oyym1tbX5bdWD75z9PYl8fMV4vAAUNDfh8Pv+iT8PBqeGoyGgtUQ0rej0xXi9lNTUcmz8fgMoDB5hTXY1FkrBKEk0FBbj6+3Ht2sWuXbuIi4vDYDCo10thYeGUya88Hg82mw2ITklcsctFSkAFMPw+E2yrvmrVKgYHB0MSGFNhTKRlsBup+4zWEtVgY6LLL78cj8czYi7ccGOi4uJiVRlzXmOisJVfBeFABGCCaUc0usT19fXh7OsDQHr88XFL4hSysrJYsmQJS5YsGZG9dDgcYcteRqskLhwS1dFIS0ubXPbyrbfUVVltebkqUS08ejQqTApg+kniwD8Xbu7cucydOxeAtrY25L/9DfmNN5Alib6gQHHbhg3sX7ZMdSOVtmwhNWDQMt3Q+nqEyEriZp05w6xTp5h16hTodHTOmoX84otYA1Xl7u5uLBaLmkBR5sJNhTGR0+lkYGCAlJQUigL9axMlopK4nBy/JG7FCli3blwnNT4+ftS5cOcyJlL6x7QwJgp2NdbCfCjS0utwGWcohjbl5eVjGhM5nU6cTmeIMZGijAkxJgpr+VUQDkQAJphWRLskLjc3l8xJSOJgZPZyaGgoxJVMk+ylIon78EMgOiVxWkpUx8NY2cvguXAjspcNDUjr1iFZLFgCCw9VohoFJgXTXRKnkJ2dzVKdjqWvvopXp2PvihW8c+21xA0O4tPp6MzM5NDixRxavBjee49CWR7bVn0KiUZJXOfdd9Ocn4/O6w2RxAFkPP44lUuWUBlILIXYqtvtI+bCRdKYKOolcevWwQR//8YyJlLMVfr6+jh58iQnT54EzhoTKf/GbUwUuM/YTp9WXVS16HGKxH0GIp98mrAxUWsr0je/SXpXV+gGNZZeC7RFBGCCaUVjYyM9PT1RJ4kL5w91XFzcqNlL5Ue5vb09JHuZmJgYIovLyckJXWAESeLsiiTuq1+NSkncVOrjg7OXa9eupb+/X+3rs1qtNDc34ywowFlQwLtXXokuIInzAQ0FBRQ0NqKb5nN7lOsxWiRxADE+H+2BRV7lwYNc8847OMrLsUgSstlMQ1HRCFt1JYFhNpspKiqK6Fw4hYtBEpccUAGMVn4dYavu8Yzo6xvLmEiSJE3mwgWjZRU9UveZcEhURzMmqqurUwPl8xkTlZWVjZ7ACIr+5Y0bYcUKpD17/N+NKLjPaH09ToRxGxMBfOtb5Dc2+iv9sozBZiNxYEDb8qtAU0QAJphWKFlJg8Ggyc32YnKJUxgtexncP3au7KXpxAlSb78dfD5qDAYGExJI7e6mQEjiJk1iYiIVFRVUVFQA0PHCC1iffhpZkrCYzfSmpgJwfMECji9YQGp3t/9mefIk0pIlZGRkTOXuj0rUSuKCqo3xg4OYLRbMsgwnT9Jz7BhykNFKZ2cnNpsNm83G1q1bSU5ODklgZGdna7Bz56e2tpbBwUFSUlIoDAx0nygRlcRlZ0NtLaYrroD168d9UmNjYzEajRiNRtavX4/b7Q6RX41mTKT0j03WmKivr0+VxGnxOxLp+4yW1+NwgufCTdiY6PXXQ6J/9Xo8ehT+67+i4j6jpURVC8Y0Jtq2DXnvXlzFxTQVFNBUUMD7K1YQ4/H458IFArKSnTuJWbduqj+GIAgRgAmmB4FVmTUgiZM0kpZFQqrQ0dFBS0sLOp0Oo0ZSvvESnL1ctmyZmr0M7h8bnr0s+uIXkWSZzoCRh5DEhYfM8nIqDx2i8tAhqmbP5r9uv52Unh6KXS7/XLi0NI4uXMjRhgZ4+mny8vJC5FeqrfoUEo2SuI577qElLw+d14spkMEOTounZmSMbqse6Otzu92cOHGCEwF77+zsbDXbbzKZwmZEEnyso1ESZ163Dibx+5ecnMycOXOYM2cOEGpMJMsybrc7RH6lGBMpwfK4jYk8Hmxvvul3UU1OJksDQ6OLVRIHF25MlJycjHT8ONLixUiyTIzHo0pUTYpB1TS/z4C2EtVwoBoT7d3Lhl/9CndyMlajkddvvpmhhAS8sbE4DAYcBgPb160jcdcujA0N6j0mNzd3Wn6uSwkRgAmmnsCqbKiuDtu3vw3x8Uhf/jI8+mhUSBWUG09JScmUW8YGZy/XrFnDwMAADofDL4s7epSGnh7q9Xrqg1KxdUVF7Fq1CkmW0dfWoosCSZxWElWITEXGGlgwzTt+nI++9RZDsbHUlpVhqaxE/uhHcblcNDc309zczAcffKDaqisL/+Li4ojNhVMYGhrCbrcD2jTOR0wS19oKTifFLhdJ55DEwTBb9csuw+v1jujra2tro62tjQMHDgCormRa26pHo0tc8PVYWlo6uY0N41zGRKPZqitz4cxm89jGRIF7jbxgAVx+OdKOHfCzn006A3CpSOLg/MZEbreb45LE8cA+pnZ3A5Dd2ooOtIv+A4TjPgORM3qaNIF7ebLbTV5zM0MJCcQNDvLFX/4Sh8GALElYTSbcKSlUV1dTXV0NQEZGRkhfX2pAoSGIHCIAE0wtQauyWqORofh40rq6KDh2TEjiNCAhIYEZM2YwY8YMaG2l+wtfwCpJnJo5k2MLFoBOR3NBAVuuvpotQHJvL9L+/ZjS0zGbzdNuKKTWEtVIVGS45RbVJU4ZURDn9WK02zE++SQbNm0a21bd4WDHjh0kJCSEyOIikb1UJHGpqakUFBRMalsRl8Q5nUgXKIkDVEObsrIyrrrqKvr7+0PkV01NTbhcLlwul6a26n19fTidTkBI4kZjPLbqw+fCjTAmeuMN9V4j33QTELgeNcoAhPs+o6VEVStGNSb63e+Qf/97ZEmitrSUnsDA59a8PH78yCMUu1yqI2np6tXTai6cgtYSVYWwJPtGkV4b7Hbym5vJb25m6YEDeMvKqN+1S5VeOxwOOjs7OXToEIcOHQKgsLBwWhoTXcxMv2++4NJh2KrMEvihM9hsQhIXDvR60np6WHD0KHGDgxxbuJCs1lZW7N2LNShLdry7m+Nvvgn45VdKVtloNE7ZHCgFLbOSkarIdLz4Ii3V1aEuccNWZaPaqgf19bnd7jGzlyaTibTAIkdLol4St349GAwT3xj+vr5Zs2Yxa9YsgBC5lWa26kGSuNzkZDI1OJcXsyQOLtxWPTExEVN1NdKyZeQ3NIRKVDW814RTEqfl9RguYmNjKZckyrdvZ+327fQlJvLMAw/Qn5xMZns7HVlZOEtLcZaW8m5tLfE//nFIAqOgoGBafDa73e6XqObkaJaEDFuy7xyJPqX8GvP00xSXlVFcVsbq1asZHBw8q4yxWqmvrx/TmEiSJPR6/ZQYE13siABMMHUMW5Up2ZsT8+bxXEaGf2aPhs2j4ZAqNDQ00Nvbq6kEJ5ImBTNPn+byDz7g8g8+wBMbi7OyEvknP0EODIVsa2tj//797N+/Xx0KqcjiSktLI5q9HBoa0kyCE9GKTEUFVFdTkplJ0nPPjeukZmdns3TpUpYuXYrP5xvR1xeJ7KWy4NPC6j9SkrhwXI/BpKens2jRIhYtWqTaqg+fC3dBtuqBVZll4UK47LKoksQFS1SnOvk0Llt1o5GTQT1qyW43Z2bMwCTLpPb2aiaLC5ckLmoSfUH3mY7MTPqTk4kfGOBrP/sZvampyJKEPH8+8qJF9PT0cObMGc6cOQNAampqSAJjqoyJlISKlr2vYU32bdqE57/+C1vgfqAGYGOUX+Pj4zGbzaq0vKenJySBMZYxkXLvj5Qx0cWOCMAEU0fQasudlISruBgAX0zM2ebR9etJ3LULU2OjevGPsFWfQpQfaqPRGJWSOHNQpizW66X8n/6J8nXrWLtunWqrriwwm5ub1aGQu3btIj4+PqLZy5qaGoaGhkhLS5u0JC5SFRkIWjgtXuwfnHqBKIFvcXFxSPZSOS/hyF663W5cLhcQnYNTtboez0WwrfqKFSvweDzU1taq58XpdJ7bVn3fPmJvvRV8PqyKJM5iiTpJnBYSVS0Z1Vb9+eexPP88stmMo7wcX0wMvamp/PcttwBQVFfnl8WdOUP5qlXTTn6ltURVISzJvuD7TJAkLs7jIaOri8rDh6n87nfx3XwzjY2NIQmMnp4ejh49ytGjRwGmzJhIy2A3Usm+2uXLGTx+nJT4eAqffBKKi8d9QlNTU5k/fz7z58/H5/PR2toaksAYbkyUlZWlKmPCaUx0sSMCMMHUEbTasppMoNOR19TEp198EYskYZUkZEmiLzl5hK16sCvZVDaPRqMkrv3FF2lVJHGKS9woq7LhtuqdnZ0h8qtIZy+1lOBEqiITDonqWNlL5bx0dHSEZC+TkpJGzIU7J0GSuLyUFDI0uL4iLYmL5IBuhdjYWAwGAwaDgXXr1tHX1xcyF66lpSXUVn1gAMOnPkWxy0VLXh4o16OQxGlKTEwMJZJEybvvsmbXLn7y0EO4U1OZd+wYTfn5NBYWqsZEe5xOYp94IsRWXa/XT/nns9lsfolqbu74ZK3jIKzJvkD0L7/1FsBZ98Og+4wOf+W+sLCQlStXMjQ0RG1trXq9jGZMpCQwwmlMFOxqrMXvSKSSfer1WFGB7hOfmPB2dDodubm55ObmjmlM1N7ezoEDB0KMiYLnwo1LGRM2qU/0IAIwwdQRLIlTtMsWC9ltbSzbv59lgebRul27kAOVGGUoZLD8qqioSL34y8vLI5a91FKCE1FJ3KxZUF1NaVYWieOUxIG/76iyspLKykp8Pl9I9tJut4c9e6nl4jpSFZlwS+Jg9Ozl8LlwVVVVVFVVAWezl0r/WEpKytmNKZK4RYtg+XJM27bBv/1b1EnitKjaTZakpCRmz57N7NmzgbO26larFbm6ml7g9KxZnA70l8V4vfzvdddhCsztSb8EJXHhll83DA3hTk0lfmCAm19/nViPh+60tLOyuKVL6erqUjP/W7ZsCZkLN1XGRFEniQOGPvYx7CdPwuAg5i9+ER5//JwnNC4uTp0LB4xqTFRTU0NNTU2IMZFy79fKmEj5XhcXF2viahypZF+4JKrDjYkGBgZClDHBxkS7d+8enzFRWKP/6EEEYIKpYxSpQrAkDvzNoyVlZZSUlbFmzRoGBwdDXMkaGhqor6+nvr5elV8NHwoZrubRYElcfn7+pLY1ZZK4CW5Mp9ONmr1Uzsvw7KVOp6O0tFQ9LyUlJePPXno8uLduVSVx0iSNFSDyFZlISOIgNHupyK9cLpd6XmpqakZkL/V6vf+8uFyUf/7zxA0NYb35ZiBwPUaJJE7L6zEchNiqv/giDd/6FhZJ4r2VK+lJT8cbF8fhykoOV1YCkN/YiHT4MOaSkrFt1aeIYIlqNM2Ik598EgCjzUasxwNAWk8PC48eZeH3v4/v5ptHtVUfPhcuOIERCfmVlkqLiEnigiWqd911NtMyTsYyJlKCsnAZE2ltPx+JZF+4JKqjkZCQMDljoi1bIiD1iQ5EACaYWjZtou3FF2mrribG48FwDkkc+OVXqq06/qGQwVmyzs7OMbOXkiRp2jwanJWMJklcOOabBGcv169fj9vtDsmStba2jsheGo1G9bzk5eWNfgwDqzJrejrcdht5TU1kLFwYFRUZmPrGeWWeWGlpKVdeeSUDAwPY7Xa12bqpqYm6ujrq6urYDcRt3kyxy0Vrbi54vZQLSVxY0BUXU1RfT2FDA3tWrQLgmr/9jZ60NGSzmTq9nqaCApra23n/xRdHt1WfQlcyRRKXl5enidQ4YjPirFbo7j4riYMRsrgRtuqjzIULNiZSEhjhMiYKlsQZJzHoWiHikjiNrsewGxN5PPh27kQOBNqSBscaIpPsC4dEdbxcsDFRezvSddchyTJGq5Wk/n7/hrSW+kQBIgATTDnyzJl+SVx2NonPP39Bq7K0tDQWLFjAggUL8Pl8tLS0RCx7qeXiOlKSuPr6enp7e0lISKCkpGRyGzsHycnJzJkzhzlz5gBn5VfKP7fbzalTpzh16hTg/xEPzpKlpaWFrMrkG24AosukYDq5xCkkJCQwc+ZMZs6cCZzNXlrfew/LmTN0p6fjUCqMMTH8/BvfQJJlTLKMWZbJFJI4zSVxvampJPT3c9mHHxLr9cKWLfSmpGBduhT5oYeQrVba29tH2qoP6+uLZNCppSQuUhWZoaEh7IHB3Ob/83+gs/O8J1VRVJSXl7N27dpRjYmC58IpxkSKLE4LYyLlWJeUlAhJXADNjYkCib6GwUF6vvIV4gcGKFu3Dp5+etI3gkgk+6Y60adwXmOi2lpasrJouewyPrzsMnReLyVO59m5cE4nsRoO6Z7uiABMMOWovT2TkMSB/+LPy8sjLy9vzObR4Owl+HXeyo/yhTSP9m7dSl3gDiUkcecnRH7l81FfX682W9vtdrq6ujh8+DCHDx8GoKCgAGnLFiSzGYPdHuraGCUVmekuiYOg7OWJE/iefJLm/Hxe27SJer2eGI+H3tRUji1Y4B/aDeTu2YOpp0edC6fFglALgiVxWhlwREISZ3nqKcDvEhfr9fqf0+lIcbuZ98ADzPvYx4D/z957h0lSlvv7d0/OOeeu3pwTu2xmWaKAB1ZBjyJGDGBA8ICo5xwjiBH9fZUDJkAFMyIIKrCJZVl22cDm1NVpevL05J7U4fdHV9VWTdoJVTXT2J/r4rp02R16p6f6fd/nvZ/7YcS+vqFiInVhyWgxkZ636GbdyGiex3e8Y8JIHExMTPTSSy/pIiaKRiTOCER1rExJTHTuHHnvf3+k0Ld2LSAhqh6PbtevRhf7ZsoBbGiGiYl+8xuc3/oWoiBwZu5cOrOzqa2spLaykt2bN5PU30+1y4Vw8iTCggUUFhbOeJphKokdwGKZ1qiROL0b54c2j/b39yv4lcPh0DSP7tmzZ0LNo46sLLjlFgqbmshcvDiGxE0gMrZTWlqqVC89Ho+CxTU0NNDU1ETT4sXsW7yYuECAUEICllCIxP5+QhYLcTo2xRl1I6Mnomp4SkuxAAUtLXRICMutv/41caFQRFBgs+EtL6d1cJDWN9/kzTffHK5Vr6gw9VCvjvwZUlhYGJVInCD9rAAj7spkrfqqVasiWnUVfiWLiQ4fPszhw4eBiJhIfl/0FhO1t7fj8/l0Q+Km40ZGr+dxLDHRlLXqMhInyXOiEYnTC1GdaCYsJpJu+r3SKByrzoU+MK7YpzeiamRSKiqYd/o0806fJrmvjz2bNlHu8ZDb3o4oCPjT0yNiouZmeOQRMjIyNAWMzMzM6f4r6JrYASyWaU19fT29vb2GI3EQqV6qm0flfrHRmkfl6qWMk2S9/HJUI3GywARmVqUsMTFR+YAFqXr5298iPv88os1Gh2QdC8fF8eSHP0xKby9WhyOCLbhc5IbDM/KAY0SvndFIXEMwSG9aGkn9/VS53cSHQlS73WzZtYs+qxXnc88pRtKhWvXExERNX5+Z1Us9DZlmInFuGYn77/8eFxIHKDru8vJyNm7cyMDAgAa/UouJ9u7dO0xMNFWtuvy9rqio0GUuk9kz4oz67BtNTDSaVn1MMZGMxAUC+D/5SZL6+6nYvFmXheDfCYmDi4iJDh3C4/PRnpvLoZUrlT9zeMUKejIyEOx2qjweEnRC4owo9snfa70QVTB+ncHrxSH9bKw6eJBlR44QtlhoLC7GvmIFjve+F5fbTXd3N0ePHuXo0aNApMCmLmDMJDHRZBI7gMUyrVFvnMxuKs/KyhrWPCovliNVL/Pb2xGuuQZBFLFLt3VClCFxwWCQzMxMCgoKpv4FDUp6ejqL5sxh0XPPEQZ++/73Y589m4LmZroyM+lLTeXUggWcWrAAnE5yfvxjzVw4jVZ9muL3+6PSEmf/4Q8BCcFRIXEAKd/9LvMWLGCeZCXr6OjQ4Fd+v59z585x7tw5AFOrl/LniB636GYhcW63m0AgEHkeJ4nEQaSvbzQxkd1uH1OrPiExkbQrEyV8O5puZIxAVC+WyWjVa2pqELq6EL7yFQqam7GvWwdIiGptbQyJ0yEaMZHXy8B99+GqrubwsmWcWrgQICLAKSritQ0bSBgcpOrAAQSpUFhSUjKjCn56f6/NWGd6b72VOum2UZBevwUoaWyk5KMfZf22bQQCAQ0ZU19fT3NzM83NzbzxxhsK4SSv/dMtJppMYgewWKY1M+WDWt08unbtWqV5VH7467zeSPPomjUcWLMm8ofCYdxVVaT091NeW6tb82g0IXFGV8rCdXXUSTej7/zb3yj3eqkrLUW02RDnz8dTXk57e7sGv1K06hJ+pbeVbDxxSjbPwsJCXQ4eZiFxDhmJG8USp052djbLly9n+fLlhMNhGhsbNXPhxqpeVldX63J7AhE9dVtbG3FxcVTr0I8ZzUgcjC0mcjgckxMTSbuysNeL+F//BWlpCPfeC1/6UlTcyOiNqE4m49Gqnz17lrMAd95JZmcn8rei3OOJGiROb0TV0JSWkjQwwOxz53BXVQEw/8QJ5p05gygI2G02ujMzEf1+xJdfBi5o1eWNv9nWQXXC4bCueyjT1pmf/ISw2x2xGnd2Rn59yDqTkJCgzHmDSFFTXcBQi4l27tw57WKiySR2AItl2iKbi2D6D2BDo24evfzyy+n7zW9wSM2jpxYsoCcjAywWXtu4kdc2biSpv58apzPSPLpw4eha9WmM3kicGZWyhs98RkHiyr1e4kIhKurqqKirY9PnPsfA9ddr5sI1NTVd0KpLQyGHzoUz432JRkvc4OAgrt5eAIQJIHEQKWCUlJRQUlLCunXrlOqlei7c0OrlUPxqstXLaEfijLyRGSomCgaD1NXVKTf949Kq/+1vyq6sobT0wvN45EjU3ciYdfs1noyoVX/5ZcRXXsFdVUWX6qC4c+tWTi5apNjiqnfuJGnr1im/BiOROL2eRzAHiZNFT3PPnmXJ0aMsOXqUsMVCy6JF2B99FIck8RiqVc/Ly1OeF7PFRI2Njfj9fhITE6moqJjS1zJrnQEQCwvB7UZYtgyeempcb2paWhoLFy5koXRLOR4xkZqMMVpMNJnEDmCxTFvcbjfBYJCsrCzy8/On++WMmZSKCuafPs3806fpycjg1IIFzD11ioRgEIfVij89nbNz53K2uRl++tORterTGL/ff8HaGEWVMrGpCRobsTocxMlInGpXlgQarXp3d7cGi1MPiYTIh7i6SpYj9ZfpHT2rkmZa4hREdQpIHGirl1u3bsXv9+N0OpWNf1tbG263G7fbrVQv1f1j+fn5Fz8oRzESp/fzON7IOu7Kysrxa9VFEeull2ITRc5Lr1UZZBwFNzKgL6JqRBStemIiG558ksGEBN5YvZpXrrqKuGCQUHw8TcXFNBUXs2/tWuL27KHS45kxc+HUiXYkTpkRZ7FE5sJ99asUrl3LpSoyRtGqe734fD58Pp9GTCRv/I0WE8mFPj2sxmatM6D6Gdm4ESSj6EQzHjGRei6ckWKiyWbCB7Ddu3fz3e9+l4MHD1JfX88zzzzDjTfeOOrv/8tf/sIjjzzCkSNH6O/vZ+HChXz1q1/l6quv1vyeBx54gPPnzzM4OMjs2bO55557+MAHPqD5Wl6vl/vuu48XX3yR3t5e5syZwy9+8QtWSs2TH/rQh3jiiSc0f2bNmjXs27dvon/NWEyIEQiO0ZWyUF0dDqmKuuG116iorSVssdBQUoK4fDnie96D2+MZWauuwq/Mbh6Vb7+KioqmfBg0tVIm9XMJ118P73znRd/UjIwMlixZwpIlSwiHw7S0tAwbCnnixAlOnDgBXKheykiJHtXLtrY22tvbiYuLiypLnJHWxrS0tBHxK/mfvr4+zpw5w5kzZ4BIf6a6gDGseintykJeLw4ZifvCF+DLX44qJK6oqGhazV7j0qpXVnK+spKXgPhAAICkvj46s7Ii+JCOc3uMuJHRG1E1NNK1amIgQJ+Egi4+dowr//UvHFZrBL0WBDpycjRz4WSturzxz83NnRYCI5qRONxuCpuayOrqivz6CNevw7TqfX2aAoZaTPTqq68aLibSk2oxa52Rn0c9EdWpiolKSkpGL2DIm0oDMuEDWE9PD0uXLuXDH/4w73rXuy76+3fv3s2VV17JAw88QE5ODr/61a+44YYbeOONN1i+fDkQ2QR9+ctfZt68eSQlJfH888/z4Q9/mKKiIuWg1tbWxvr169myZQsvvvgiRUVF2O32YRXsa665hl/96lfK/492S8rbOdFYKav/7GfpS00lua+PMqmp2wKUNjRQqmoeVT/89fX1Ea16UxP79u1TmkfNrF7qicSZVSnTIKpXXw0TFIdYLBYKCwspLCxkzZo1BIPBYXPhhlYvh86Fm0xVUf5eV1RU6PL583axxKmjxq9CoZAyF06uXnZ2dg6rXsqby6rDh0m85ZYIEldWRm9aGsl9fTEkTocM06o/8QTio48i2my4qqsZlH6ejy9dyvGlSylobo5gcefOUbN2rW7ImZ6JWiROuq2ziiLpfj+LTpxg0cmThCsq8B08qNhIR9Kqy3PhzBYTNTQ06GY1ng4kzrp8+biROICUlBTmzZvHvHnzAHPFRIFAQFersdnrjJ7P49CMJSYSRVExYF9UTDTSplLHTPgAdu2113LttdeO+/c//PDDmv//wAMP8Oyzz/Lcc88pB7DLhuzSPve5z/HEE0+wZ88e5QD20EMPUVlZqTlcjXR6Tk5OpqSkZNyvL5bpSU9PDw0NDYA+m5CZgsRBBL9Sa9XHah7dsWOH4c2jelclzaqU6Y2oylWvqqoqLrvsMvr6+jRz4VpaWvB6vXi9XqV6Kc+Fs9lsF69eSrsyh4zE6bS5NguJk59Hs/sx4+LiIvhVWRkbN25UxiWMVL18/fXXiQ8EqPrABxBEkU5pA1PjdEaexxgSp1ssFgvFNTUU79vH2n37ODtrFk/feitJ/f0UNjdTV1ZGS2EhLYWF7K+rw/LQQ6Nr1acx0Vjo83/gA9RLO11FiCN99lgefpj8wkLyCwuHa9VHmQtXWlp6oYBhoJhI/l5HKxJn27QJpDE1k4lpYqJgEM9zz0UGiyclUZiXN+nXLMeMdQaMGc9ysUxKTGSxIPzf/2FtaTHsdZneAxYKhejq6iJvlB+YcDjM9u3bOXPmDA899JDy63/729+4+uqrufnmm9m1axfl5eXccccd3H777Zo/v3PnToqKisjJyWHz5s1861vfoqioaMT/Vn9/P/39/cr/75RtLLEYHvkhLC4uji4kTsJChBtuiHzBCTaPhsNhDX41WvOoGoubavNoW1sbHR0duiE403EjYwROk5KSosGv5OqlfFju6enh/PnznD9/HrhQvZQPyxqbmgqJE++9F1JTEe65J2qQOPl7rQeiOtUkJiZqqpc9PT0XqsqnTtEJOARBmSMD0JGdzcGVKxFEkdwZjsT5fD4FUdULiTPjRsYlFTznnzrFjX/9K70pKTitVsQlSxDXrcM3mlZd+iybDjFRKBTSdcNnGhLX0QFuN0WNjWR2d0d+fZTrV41WfdMmBgYGNIUltZho7969hoqJorHQZxSiapiYSFpr7HPnwsaNCAcOYLFap1wBMGOd0bsYPJkMFROFQqFhZExbWxsHgYO33IIlFCLH5YIh7U16xPQD2Pe//316enq45ZZbNL/e0dFBeXk5/f39xMfH89Of/pQrr7xS+feiKPLII49w991386UvfYn9+/fz2c9+luTkZG677TYgcjt38803U11djcPh4L//+7+5/PLLOXjw4IiVhQcffJCvfe1rxv6FYxkx0SgpGBwcxOPxACBccw1M4lbGYrGM2DwqL5Zut3tY9XKqzaMyEldZWakLEmdWpczsD+qh1cumpiYFixutemm1WrE1NlL9yU+S3N9PfVmZgqhGIxI302ykEJkLp1Qve3po/exnI4roWbM4O2cOWCw0lJby/A03AJDr8yEcOYJQVDS6Vn0aI3+v9XoezbiR4d3vVpA4Qfo8Se3vj4iJvvlN2LaN9vZ2DX6laNXPngWYFjGRjMQlJydHFxJXUBBB4lasmBASBxH8Si0mkufAyXPh1KIi0E9MJN9cQwyJGylDxUQjzYW7qJjomWeUCoD4jncA0vOoUwXA6HWmvr5eN0RVr8gtIZWVlWzevJn+/n5czz+P/ec/xyEINBcVKbfResfUA9jTTz/NV7/6VZ599tlht1KZmZkcOXKE7u5uXnnlFe6++24EQVDwxFAoxKpVq3jggQcAWL58OSdOnOCRRx5RDmDvec97lK+3aNEiVq1aRXV1NX//+9/ZNsJPzv3338/dd9+t/P/Ozk4qKyv1/mvHMiTRisS5XC6CwSDZ2dmj3uBONOrmUbl66Xa7lQPZSM2j1dXVCk4yZvXSICTOjEqZ3ojqRGOxWCguLqa4uPii1cv9QNy991JRW6tICmpkRDUKkLiZUJUcbyxlZRS0tlLQ2kq+z8fZuXNJ6+7mkgMHcAgCtRUVtOXlcbCjg4N//CPAsL6+6ZgLp46e/V9m3cj4f/c7GqT+IgWJG7Iry8nJYcWKFaxYsYJwOExDQ4MGv5oOMZEaiZtqn+20IHGbN4N0kJpsMjMzh4mJ5PVFNzFRMIjn+ecjFtWkJArGO9x7jLxdC31yRpsLN6aY6MABhIULKamv1yKqOlYAzECv9UBUjUpycjJzBgaY849/ANCZmcmPPvQhQ/5bpq1Ev//97/noRz/KH//4R6644oph/z4uLk5BTpYtW8apU6d48MEHlQNYaWmp8oMqZ/78+fz5z38e9b9ZWlpKdXW10gA5NMnJyTOyafjtHp/PR0dHh3KYmGqmY26PUSjNSM2jMhZnt9s1WnW5eVQ9FFKpXqotcTIS9/nPw1e+osOOzPhKmZ6Iqh4ZtXq5Zw/iiRO05eXhVv0s22fN4nfvfa8ytyd/924sW7ZM+XUYhcTpiajKMQSLU+3K7NKGac65c1y2axeX7dpFf3IyrpUrEb/yFUSHg+bmZo1WPSEhQenrEwSB4uJiU7E4NRI31f4vU29kFiyAU6coSk8n42c/u+gbKs8TKy0tZf369Qo9IG/8zRITRWOhzwhEVY5aTHTppZeOS6t+UTGRjMTNmwcbNiDs3x81SJzeiOpUMpqYSCZjOjs7OTJ3LkdU2vbUnh4ai4tJ6e8ncXBQtwqAEesMzGzSQhPVZjGYkIDfoBliphzAnn76aT7ykY/w9NNPc911143rz4TDYU1/1vr165VKgJyzZ8+O+QHV2tqKx+Oh1KDrw1gmGHluj1RJrayo0GUWg9mVMjMb54dq1VtbWxUszul00tvbO6x6aQVsjzxCTUsLPhUSV/bWWzqWxY2tlOlpbTQiSvXyrbfgxz+mLSeHc3Pm8I9rriEcF0cgMZEz8+ZxRrJjZe3di9DZObpWfRqjNxIHBmJxql2Z3AMmI3FYLCQPDDDnnnuYI4mi1AULURTp7u7GbrcrP1/p6eka/Co7O3sKL+7iqa+vp6+vj+TkZMqkuUOTzbTM7Vm8GFQjZMabxMTEEcVE8mdZR0eH7lp1jUU1CpE4PZ/H0TIerfpoYiJBECjaswfLzTdDOIwjCpE4PRFVPTOSmMj9xBPY//AHRJuNRkk015uezm8/8AHiA4HIXDi7HZvDQcmmTTNmLpwcvZ9HOUYX+kQD9yATPoB1d3crTekQqVQfOXKEvLw8qqqquP/++/F6vTz55JNA5PB122238aMf/YhLL71UwYpSU1OVxe7BBx9k1apV2Gw2BgYGeOGFF3jyySd55JFHlP/O5z//edatW8cDDzzALbfcwv79+3nsscd47LHHlNf11a9+lXe9612UlpbidDr50pe+REFBATfddNPkv0Ox6BPVjkx8z3tg/nyEP/0JsrKiQlLQ3d1NY2MjMH3qaHXz6JhadeDge96DJRQiQ5ppUtTYSMhiIS4c1q8sjjGVsmhC4uTdVm57O3mtrYTj4sjs6OA9v/sdDmlmj7uqik7QaNWLi4s1+NV0DoU0whJnKBa3bRs9aiROqmCPtCvLzMxk6dKlLF26lHA4THNzs2YuXE9PD8ePH+f48eMA5OfnK+9LTU2NLnPh1FHfok91g2TWjYwRz+NIYiL5MKaLVj0YxP3ccxGLanIy+ToMXH+7I3EwPq26WkyU7vcj3HQTFR7PBSTO4YhKJG6mHVjUSUxMxDZrFraXXoKXXuKHd91FZ04OwvnztBQW0pmdjdNqxWm1st3tJvV73xtZqz6Nka3GmZmZFExwpMxoMaPQN6MOYG+++SZbVCiN3EP1wQ9+kMcff5z6+nrllAvw6KOPEggEuPPOO7nzzjuVX5d/P0T6Pe644w5qa2tJTU1l3rx5/OY3v9H0dF1yySU888wz3H///Xz961/HarXy8MMP8/73vx+IVHKOHTvGk08+SXt7O6WlpWzZsoXf//730zroMhY0O7JQXJwyyFiIIkmBjCmUlJTMmNuLoVr1/v5+nM89h/jLXyIKAi2FhXRJRQ5PdTXfue8+ql2uCBb34osUXXfdtAzrvFh8Ph+dnZ26IapyDK+USTejNrud8vp6yuvr2fDaawxWV+P+5z8RJbV6Q0MDjY2NNDY2RrTq8fEa/Kq0tNS0zYDeCI5ZWJxDQuKK09NJHwcSB5ECRlFREUVFRRr8SsZ8vF4vra2ttLa2cuDAASwWC+Xl5crGXw+tup6ba7NuZPRGxodGLSbSRasuI3Hz58P69Qj79sWQuElmTK26w0FPWhrHlizh2JIlQGRQ96sbNiCIIjVOJ8n/hkic0UZSn99PZ04OccEg7/nDH0gcGKA1Pz8ypHvhQpxz5oyoVZefl+kSE+ltNTaj0Bf64x8R33xzSq9zrEz4AHbZZZcRHml1lSIfquTs3Lnzol/zm9/8Jt/85jcv+vuuv/56rr/++hH/XWpqKv/85z8v+jViMTlDdmR1ZWX0p6SQ0ttLqTTIeKZLCiA62OXk5GTmDg4y98UXAWjJy+Onn/404bg40np68Kenc372bM7Png0HD5J++rTGSqbRqk9j1AiOXjdDZlbKbEPm9iR+//vY5szBJs2X6enp0eBXnZ2dOJ1OnE4n27dvV/Ar9Vw4o1JXV0d/f78uSByYh8UpiOqSJXDVVZP6Gmr8ClDwK/l98fl81NbWUltby+7duxWturyRmZBWPRhkcOdOPLIlToeDjNk3MmYgcTC6Vl3e+I+pVXc6KfnAB7CEwzikdodoQuL0RFT1zjCt+m9/i+crX0G02Ti0YgX+9HSCCQnsv/RS9l96KXHBIBW1tViPH8dms1FWVjajxAtGIHFmGEnFBx8EoNLjIWlgAIACn48Cn4/V991H6MYbR9Sqt7W1cejQIWB6xER67qHMKvQ1rF1L3/HjJA8OTv6LjJHp1UHF8vbPkB2Z3Dif1tODQxCocrlInOFze6IRiQNoy8sjHBdHdns7n334YZqLiiJVMkHANXcuPT09HDt2jGPHjgFQUFCgwa+mS1ATjUhc99NP0yjNcbOOgcRBpO9o0aJFLFq0iHA4jM/nU25hRsKvcnJyNFayi+JXE4ieSByYg8UZ9TwOxa9krbqsivb7/aNq1a1W6+ikhbQrc6WkELz1VrLb28lbuTIqbmRAX2vjZDJUq67WqIuiqOnzA0j7wheodLtpiGIkTq/n0cgklJdjdTqpcTo5tngxABt276Y3LQ1REBQxkbu1lV2//CVJSUmawlJ+fv60EhgyEpeVlUX+JEbKDI1ZRlLR5YLOTqxyoQ80a00cDNeqqwoY0yEmUluNo2n0kFzoqzJo3xc7gMVibIbstOTGeV9BAb+Rmker3G6EEycQ5syhpKRkxi08ra2tChJXVVWl29c1q3lUsNuJA4qbmihubmZtbS2BX/yC2vp6jVa9paWFlpYW9u/fr+jx1UMhzaheRjUSd/o0JRkZ40biIFJVzs/PJz8/XxkKWVdXpxzIPB4P7e3tHDp0SFO9lG9hplq91PsgYwYWZxSiOjRjadXdbveIWnX5fVG06qpdmSjd1AmiiCVKbmT0tDbqlaFiopaWlsj7cuAAzro6/OnpnJk/X/n9v/zIRxQbqdXpJCWGxOmKxLX5/XRISNzGV18lSbotaMvNRVy5EvH22xGlwtIwrbqqgGG27VZPJM6sdSYUCuGQbr1s99wDn/zkRd/U5ORk5syZwxyJwLiYmCgtLU1DxughJpI/Q4qKinR5n83qf5Vfd400hF7vxA5gsRgb1U5rICkJjzRnbf6JE3grKujMzsYhCDhaWnjlZz8jNTV1xjWPyh/UkxmCPFpMQeLkwalDkDgefpgEachjTU0Nl19+Ob29vQp+5XA48Pl8eDwePB4Pu3btUvAruR/GqOqljMSlpKToYi81q1KmVK4XL540Egda/Grz5s0MDAxorGTq6uVrr72mVC/ljf+4q5fBIANqJE6nBcYMLE49WNwseclQrXogEMDtdivvi1qr/sYbb0S06hUVCH/5C0JZGWX19RcKIlE0t0fv51HvqLXqa0SR4Oc+h7eigheuvZbG0lIIh/Hl5+PLz+fNSy7BEgpR9sYbCKHQ6Fr1acrAwAAejweILiTO/u1vAxISJ6NaFgu57e2s/NSnWLlt2+ha9WkUE+l52DVrndEgqtdfD5MoVl9MTOT3+3UXE0VjoU+NqBp1+x87gMVibFQ7Mld1NaH4eHLa2rjlj38kDLQWFCCuWIH4oQ/hkLTqQ5tH1VWy6W4e1SNmIXFNp09DODymJU5Oamoq8+fPZ75UOW5vb1cWS1EU6e3t1eBXcvVSPizrVb2UN9fRisTpfUuQlJQ07urlyy+/PL7qpQqJC8lI3IoVuuzKzMDiZoKkICEhYUStuvy+tLe343K7ca1axY5Vq0ju66Nf2rjktLURBiw6euKNvpGJBiSO0lLiQyEq3W56JUz3lt//nrhwGLsg4JDERN6+PryvvjqyVr2oaNqwOBmJy87O1qXv02wkThkHAcPWmhG16m630m8pS4nMEhPpjcSZdSOj9/M4mphIPRduNDGRIAhUVFSMXcAIBgnv3o0otTlEU6FPjaga1YcdO4DFYmxUOzL7kBsZi8VCQWsrBZ/4BKulKtlIzaMHDx7k4MGDShXazObRaEXixPnz4fRpSjMzSfv5zydcFs/JyVGGQsr4lXwgc7lcI1Yv1VayyTbr6725NqNSZhSiOlKmXL184YULSJw0z0mw23VD4sBYLG6mWeLkjKRVF3//e8SdO3FYrfSpCke/uP12stvbL2BxHg8zw6s6PNGIxPl6e+nMziY+EGCW3U7i4CBzz5wBi4WOuXNx/Pa3iNKtck9Pj1arnp4+bWKiqEXipHmtti98AT71qXG9qYmJidhsNqVg1dPToyksGS0mkj9DiouLdbEamz0jzqjPvtHmwslrf2tr6zAxkVzAGCYmkgp9Pr+fjs9+lrhgkOprroHvfz8qCn3qWaRGFWViB7BYjI+0IxN37QJUg1NHqJKN1DwqP/xjNY/abDZDqpder5eBgQFSU1MpkYYfTiWmI3FLlsCVV07+C6HFrzZs2KBUL+XFUq1V37dvn1K9lA9k46peDkXidOrtMaNSZgSiOp5MqnrZ0IBw2WUIdrsixNEbiQPjsDiv1zujkThQadXnz2fVHXcQslj43Xvfy7m5c8nq6KA7I4OOnBwOr1jB4RUrQBQpefRRZXNp9s/RaIlaJO6hh4AIEpeoQuIAsr/1LZatWMEyqa+vqalJWV/kuXDTJSaKRiROg6hOEomDyMF38eLFLF68mHA4TGtrq6awpJuYSDr926VxBoJOaJkZ68zg4KDuz+PFMh4x0blz5zh37hxwQUxkbW1F+PznyezqQrzkEkBCVF2uqCj0gTnm69gBLBZT0nXllTRLi5r1/vsvfBqNsSMb2jza2dmpefjV+NVLL72kVC/ljb8e1ctot8QZ0Tg/UvVSjV91dHQo1csdO3YMq17m5uZqD8oyEpeaSuj97yenrS2qkLiZYsgcrXopvy+tra3UFhdTW1zM7s2blT/ny8ujqbCQwuZmLDPcSKr+Xs94JE7alVm8Xhql4s07n32WSo8Hd3U1dpsNx5w5NObn09DQQENDA3v37lVuUtX41XRgcS6Xi1AoRE5Oji69uGYhcY5xIHEQOSgXFxdTXFwc0aoHAspcuNHERBUVFcr6oqdWvbu7m8bGRkCffpNoReJAImMKCigoKFDEREPJmKFiIjUZM2wunBxpnQnX1iJ+/vOQnY3wv/8LPT1Rsc64XC5dEdXJZKiYqLGxUXleNGIigHvuobCpiYD0l65yOqOm0NfT06M8j4IgEAwGp/YFR0nsABaLKZE/qEtLS0m79dZJfY2srCyWLVvGsmXLFPxKfvhdLtew6qWMX9lstklXL6OxebSlpYWuri7lJsrojKRVlxfLi2rVT5wg7b3vhXAYu4zEiaKuuzKjkTin0xl53TMIiYPh1cuOJ59EfPhhREHg7OzZDEg9STu2bmXH1q1kdHVFsLgzZxBWrpyRA+yNUKIbhsRJu7LWT3xCQeKq3G4SJTRult0OH/843VddpRQw7HY7XV1dykiCV155hdTUVE1hKScnR4cXd/Gov9fRiMQJ//VfcMcd435TExISFDHR1q1b6e3t1RSW2tracLvduN1uRUykl1ZdRuJKSkqiEokzckTBaGSMWkwkz4WTxURyAUMREz3zjHL69+XnK89j9aFDUbHOgL7Pox5Rz4XTiIl27kR84w3qS0tpLipSfv9rGzfirqmJrDGiSNnu3cRt2TLl12FkoU9GVDs7O/X9D0iJHcBiMSV6922o8au1a9cSDAbxeDwarfpQ/KqiomL8WvVgkP4dO6iVBzVGIRJnhklqaNRa9UsuuUTRqsvvyzCtejhM6e23I4gip6WDgmC3R02lTEbi9EJUjUx2VRXLDx9m+eHDPHPjjRxdtoxqh4OEYBBXdTXdmZkcXbqUow0N8IMfUFhYqMGvzBjCO1YGBgaolXY2et3sGorEQURS0NIC9fXK4Uv5j0i7sgwYhl+p58L19vZy4sQJTpw4AVwQE8mFJaPERHreopuFxGkQ1SkgcRAREy1YsIAFCxYARPr6VIWl3t7eqWvVpdO/GIVInBpRNXNEwXi06vL/VsREx45hXbYMmygq6LWCqEbBOgP6Po9GRBETvfEGPPYY/rQ0Dq5cyfatW7GEQoTi43HV1OCqqWHH5ZeTvGcP1qYmTV/fTDhYgnlUS+wAFovhCYfDmoZGIxIfHz+iVl3+IB5Lqy4IwojNo660NELvex+5Ph+5y5fHkLhJRK1V37RpEwMDAxeql8eO0dTTQ31ZGfVlZZE/EA5z4JJLaM/NRbDbKamtxRIFSJyeCI7RkoKw16vM49v06qsIokggIQFPZSX2ZctwXHMNdfX1NDc309zcrGjV5QKGjF+ZjQA6nc7oQ+IAMSsL6usRtm6Fa64Z801V41dr1qwhGAxeVEykngtXUVGhi5iou7ubpqYmIDqROCMQ1dzcXI2YqF41R3FSWvWRkLj/+R/o7o6KdUZvRHWyGZeYyGbjuHRwSZJuSDM7O+lLSSGlr083GykYs87ojagaGulaNc3vJyz9sM07fZorXnoJ0WZDFARFTHT69GlOnz4NQHZ2tqaAocdN8GSibuGIHcBiifo0NzfT3d2toAFmZCSturpKNlSrLjePCq2tCHfdRUZ3N/ZrrgGiC4kLBoMzFomDiFZ99uzZzJ49G3w+uj7+cRyCwJsrV+KprgaLBZfVistqhSuvJK2nB+uhQwhSddks/Gq8MWJEgdGSgpZPfpKurCziAwEqpRvehGAQq9OJ9Xvfg23bRtSqy/jVzp07SU5Oxmq1Kht/M6qXen6vzULigsHghdv/K64AudAwzsj9YFVVVVx22WX09/drCkstLS14vV68Xi979uzRTauuQcbHKzgYI28nJA5QDr5lZWUXFRONqFXft4+4m2+GcJjWgoILiGoMiZtSRhQTPf444m9/iygIeMvLGZBaEY4tXcrxxYsp93oVI2nFxo0zZi6cOnojqmB8oQ+vV5l9aBVF8trayHvzTVYdPEiospL6PXsUG6nH46Gjo4PDhw9zWLoNLikpmRYxkdpqXK0T+TRaYgewWAyPGokzWhs/WoY2jzY0NGiql5rm0S98gaLGRrqkHphoah7V29poaEpLyezuZsnRo4iCgKe6muUHD1Lc1IQoCDhravCnp3Oiq4sTzz0HQF5enqZKNpmhkHqlv79fQeL0OBSYNrdHQuKqXa4RkTjQatUhgl+p58L19fUNq17KhzGjqpfRiMTV1dUpz6Me1sbk5GTmzp3L3LlzgQtiIvmfKWvVoxyJ0xtRHW8mIibavn07KX19WG++GcFuv7DOuN0xJE7nxMfHU22zUb1jB1t27MAuCPzmttuIDwTIbm/HV1BAbWUltZWV7K6tJfGhhzRkTGFh4Yw4XEZjoW/gP/8Tj9SDbpNev3z9GvfDH1JeWUl5ZSUbN25kYGBAU8BobGycNjGR/L2urKw0/NAXO4DFYnjMqkqON2qt+vr16xW9q7p5tKm4WPn9z950E4dWrVKqZNHQPKrn7AozkDh5Rtyi48cRHA7WvPEGwfh4vMuXY3/oIRxOJ7W1tfh8Pnw+H2+++aZShZaxuIsOhdQ5MoKTm5s7ZQTHrBsZADEzE+rrsV5xBVx77bje1NzcXFatWsWqVasIhUIa/EquXqrxq5KSEs1cuKkuZF1dXTQ3NwNQo8MwT7OQOPVgcSM2DEPFRE1NTcr7MpKYaEytuhqJu/tuyMpC+MpXoKsrKpA4vRHVqWRMMdG5c/SlpHBqwQJOSf1lAP1JSZxYsACrw0FaFCBxeiKqYM6NTG1FBQBzzp7llj/8gfbsbESbDcfChYiLFw/TqmdkZGgKGNMhJtIbiTOr0Od69FFCLhfZ7e3k+nyRXx/l+jUpKYlZs2Yxa9YsIPLzdTEx0VCzsl4xs4UjdgCLxdCokbiZWilLTEwc1jy647LLeHP1auIDAYIJCZrm0ZQ9e6j5N2keNaNS1vypT9GdmUnC4CBVUlM3FgvxoRBV999P1eWXswVG1KrL+NWrr75KYmIiNTU1ysbf6Oqlnn2NZt3IaJ7HK6+cFPMVFxdHeXk55eXlbNy4kcHBQY2VTF29lPErdfWypKRkwv058s91WVlZVCFxZg6NVmvV165dq2jV1WIitVZdIybyeCj/8IeJDwZpKSykKysr8jxGIRI309DrYWKip56i7r77EAUBu82Gu6oKLBbqKir40y23RMRE9fUIR48iSPjpdJEjo0VvRNWMdYZ3vxtR2oPIIwpyOjtZcfgwK778ZcI33TRMq97d3c3Ro0c5evQogEZMVF1dbehcODlqJG6qLRxmFvrsJSXgciHMm4flqacmdKrOyMgYdS6cLMA5efIkJ0+eBC6IiWQyZrJiIrXV2Iz96sx6qmN526W2tpbBwUHS0tIoVt0qzciomkdlTvzSvXtZceQIoiCMq3lUEARdFqTJ5O2AxCWMgsTBCFr1jg4NfmV29VLPzbVZNzJGIKqJiYmjVi9FUaSzs3Py1UsZiZPm/Vh1uP0Cc5A4vZ/HiUatVb+omAhIuvdeapxO4qWZN5Vud+R5jCFxuiaurIyK2loqamuxOhz88qMfJamvj+XSOtNcVBQRE7W18dqvfz2yVn2aC37ReCMz8PvfU3v8OKBC4lTrjAVG1qpLz0v9GGIi2axshJhI/l7rQRKYVeiDC+ujbcMGkFD2yWToXLhgMEhdXZ2CxI8kJpLnwk1ITBQM4n3++YhFNSGBksLCSb/m8SZ2AIvF0EQrEic3j9pEkTyfjzyf70Lz6KuvYnc6cTgcuN3uUZtHbTabKRyxHKfTSTgcJi8vb8qyClOROEnXbL3qKnjHO8b9pmZnZ7N8+XKWL1+uDIVU41dGVi87OzsVJE4PBMesGxn1rZ1Rm7ixqpdOp3P81Us1EnfPPZCZie3LX446JE4PRFWPjCom2rcP0eWiNy2Ns1JvGUBdeTl/vfFGBLsdQRTJmMFInN6IqhxD1hrV6V9Wos+y27nmH/8AoCszE3HVKhyf/jR2h2NkrbpqLlx2dvYUX9DEoicSZ+Y641y6lNDJk+SkpJD7k59c9A1VtOrS33E8YiJ1/9hU5sKpo+dh16xCX1dXl+6IqhxZaFNZWTmqmKiuro66ujqNmEh+XkYUE0lrjWizwZYtCG+9RZwg6DiPZOTEDmCxGJpoR+IqVUgcSM2jVVWUV1UN16qLIk1NTZrmUbl6KT/8JSUlhjePRjUSN8lbGfVQyHXr1hEIBIbNhdOleintyBzS7J+ysjJd5jCZcSMD5iJxMLx6GQqFxtSqQ+R7KgwOInzve1TW1+MrLLzwPB4+HEPidIoiJjpzhvCnP01DSQnnbTZ2XH454bg4+lNSeGvZMt5atgyAotdfR+jvVwoY0z0XTh29EVUwcK1Rnf7lcRAyEofFQmZ3N0s//WmWbttGOBympaVFweIUrfrx4xyXbnPy8/OV9aWmpsZwMVFLSwtdXV26WI3NvJFRnscFC+CGGyb854eKiTR9fQ4HfX19o86FEwRhUmKiUCik62e22ei1XojqWJmImOill14aLiZ6+WXlCla88kogYm3UXMFecYUhrz12AIvFsPT19eH1eoHoQhXsaiROwnHGah5VtOqgqVaKoqgZEinjV+qHX0+tejRWyoxCVBMSEhRN+tatW+nt7dVUL9va2iZevVTtyMSbboKlSxFeeAHy86PiRqavr29akTiI9I/J1cvNmzfT39+Py+VScJLm5uZI9RLY88EPkjA4SHZ7OwAl9fUKHhdNSNxMPYApKS3FIvUdDSYmEo6LI7Wnh3f9+c8R7FoQqC8ro2lggKZ9+9i3b59ShZY3/qWlpabPhVNHb9GT4WvNtm30q5A4YQQkDiIFjMLCQgoLCy9o1VV9fV6vl9bWVlpbWxUxUXl5ufI5ZoSYSI3ETbU3zax1BvR/HvPy8sjLyxtVTDR0LtyExUQSEjcwMECqTkicWYW+6RSvTVhM1N6OcM01VLrdeCRJi00UtVewb71lyGuNHcBiMSwyEpefnz9lTMJUJE6qVAkTROIggl8tWbKEJUuWKNXLofjViRMnOHHiBKDVqtfU1Ez6NqWzs5OWlhYsFktUIXFGIKojJTU1lQULFrBAso61tbVpDsoXrV7+85/KjiwMCqIqvPUWPPtsVNzIuFwu3RBVvZKcnMycOXOYM2cOEPk5drzwAuIf/oAoCHRnZtIqbTxqq6r4/j33IIgiVlHE9vLLZF199ZRfgxFInPw8gr6bELOQOMHhwCaKkY2IxYLfZkP885+VuT1qrfqOHTtISUnRzIXLzc01rU9JjcTp0f9l1lrjXLKE0MmT5KakkPvTn47rDZVnE1VXV7Nly5YRxUS1tbXU1taye/duRUykp1Zdz4OMWeuMGlE14lAwVEw0llZ9XGKiIUicVSckzoxCn97P41QyVEwUDAa1ZIzXS0tODi1r1rB/zRoActrayG1ri3wB+Qp2715DXl/sABaLYdGzCmImEudyuQCwXXUVTOFWRl29XLNmDcFgcBh+NZpWXa5eXrTCKEsKJCFIWVmZLgiK2ZUys28JcnNzWblyJStXriQUCg2bCze0elnc2opwxRUIokhqb+8FJE4aZBwNNzJ6WhuNSlZWFkvDYZY+8wxhoKGkhJ9/7GOEEhJIGBykJyODY0uWcGzJEti3j/xz55R+y2Fa9WmMGonTA1EFk5G4IXN70h56iEVLlrBIKiyNhF+dOnWKU6dOARG8UT0XzkgMqbm5me7ubhISEqiU5g5NJWatNcpn38KFcP31k/oaZouJ1Mi4Hp8jZq8zeiKqY2VKWvVz58h93/s0SJwwFImbwgNvdKFPT0RV78THx2vFRL/5Dc4HHkAUBI4tWkR/auoFHFidhgZDXk/sABaLYdGzCmIWquDxeBgcHCQ9PZ2ioqKpfbEhkateVVVVozaPDtWqV1dXK4vlsOZRNRK3bRssWYLw/POQlxc1SJyeiOpkExcXR1lZGWVlZWzYsIHBwUHcbreCxTU0NNCYn0/j+vW8vn49llAIgKzOThqLiymtryduhs/tAfP7vyYdqdxtAQaSkgglJJDW08Pnf/ADaisqIkZSm426igoFvzpw4ICiVZc3/uXl5abOhVNH7++1GUhcnxqJkzchI+zKhmnVQyHq6uo0+FV7e7tGTCRbyQRB0F2rLq8z1dXVunxds9YaI4pPhoqJVEhcWmKiLkicGesMTP8s0glr1T/zGaqdTgWJE+x2Xa9fzSj0zcTxCUOTWlHB/FOnmH/qFK7qappTUy8YMtXRyRg8NDP7uxNL1Kajo4PW1lYsFosuVqq3GxIHE2seBbTNo2fOkPWf/zkyEhclkgI9EVU9k5iYiM1mUwoHPb/+NY7vfAe7tPHvlF6rLz+fn3/846T6/VgdDqynTmFbunRGGO+GRo2oRpMlTpnbI4okBIPUuFzUuN1cfv48fadO4VBhPmqt+u7du0lKStLgVwUFBaZgcdGKxLmWLCF88iR5qankPPLIuN9QWWhTUVExqpiovr6e+vp6XnvtNY1WXcavpvK+6H2QMWOtMQpRVUdXMZGMxM2aBZddhvXwYSxWqy72K6PXmZmExMFFtOqHD1Pb1kZbXh5teXmRPxAO86ebb0YQRQS7nUqPhwQdin3RVOgz2nzd1dFBc1ERhMPUSK8fuHAFu26dDv+x4YkdwGLRP8Eg4gsvAFCekUGKDhr2f/fmUafTObx59I47EESRvNZWejIySBwYoEK2NkYBEjfdVcnxJr2ykkXHj7Po+HEC8fE8dN99BJKSqBFF6svK6E1L4+TChZxsaoIf/5icnBwFi5vKUEg9I1clow2JE0dB4nj4YVLS00fWqktVZb/fz9mzZzl79iwAmZmZGvwqQxp/oHeampro7u4mMTGRCqmCPZWYhcQpiOrChXDddZP+OhMRE0HELqeeCzfu/sRgkOCuXTilApVQXT3p16yOGWuNEYjqxTJUTOT3+3E6ncpN/6hioq4uhC99ifyWFsSrrgL0ReLA2HVGb0RV72i06vX19N9/P87qanZs2UJjaWlkSHd5OXXl5ezZuJGEwUGqDxxASEpCEIQZMRdOjt6IKphjvha//nUAyurqSOvtjfw7Pa9gR0nsABaLvpErZWvWwOLFESTuhz+MiubR3t5e6urqgOmvlA1tHg0EAtTW1kYWy7feoq6jg5bCQlpUGEh8MMieDRsQRJFyr5f4GY7EGVGVNPpGpraigkBSEund3dz2618TtljwlpcjLluGeOON1Hq9tLe3c+jQIQ5Jw4PLysoULK6ysnJasIxoReK8F7HEqaNo1VesIBwOD+vr6+rq4q233uItyWhVVFSkwa/00qrHkDhtLiYm8vv9o4qJrFbryD2t0jpTGxfH4Ec+QlpPD8WXXqrLrsyMtWYmGDLT0tLGJyYC+PSnyerooDMrC4CSujrd7VdGrzN6PY+GprSU5P5+5p49yyuS+vz6v/2N+GAQ0WZDFAR6MjKw+/3YX3oJiJAx6gLGdNIkXq83gqimpVGiA7Znlvla9HigvT2in5ejXms6O6f4Hxk5M/ynMZaoivS0aJC4KGoelZG4goICsqSFZqYkISFBaR6lqYneL38Zp9WKXRA4unQpg0lJ9KWmsmvLFnZt2UJSfz/WN9/EmpqKzWbTbSikXtEbUQWTbmRUSJwlHMYCVNbWUvnww2zeto2BgQFNX5+iVa+rU/ArdV+fGdVLPQengomWuMWLCZ88SX5qKtkTQOIgUsAoLS2ltLSU9evXMzg4qMGv6uvraWpqoqmpiX379il6fPl9KSsrm7RWXe+bXTOQOPXzaOSN9FTFRJWVlcQ/++yFuT1btgDS86jzjYxRa81MQ+LkjCQmsr/8Mo5XXsFdVaWg1wA/++QnKW5oQLDbsYkiVTt3krh16zS++tFjxGHXaCSus7NTQeIWnDpFam8vy956i7DFQtPixYiPPILocCha9aFz4dRmZaPnwqkj36JbrdYpr2tmrTPhcBgxEADAdued8NGP6vymjp7YASwWfaJ6WhqLi/Gnp5MwMEBFbW3UNI9GCxJHaSmpfX3MP3WK2WfPKoNSN+3YQWthIaIg0JuWxpmeHs784x+AVqtutVoNw6/GG/l7XV5erssCYcaNDH/6E+IrrwBcqJQN2ZElJSVptOpq3EoURbq7u7Hb7cpClZaWpsHijKheNjU10dPTE3VInLJxWrQoMg5iCklMTFS+xwB+v18zF669vR2Xy4XL5WLHjh0kJydrqsp5eXkX31BISJxLem9tOhUWzEbizNywDRUT9fX1aebCjSgmEkWENWuwieIFbf7QuT0zGL/W+3k0IoqYKDGRjU8+yWBiIn9617s4O28eqX4/vWlpNJaU0FhSwuvr1xP/2mtUeb3KTf8wrfo0JWqRuG98A4ggcakqJM4CFP/v/1K8bh1r160brlWvqxsmJpLnwpkhJtLzsGvWOqNBVG+4AUy8JY0dwGLRJ6qnRb4lCCQm8suPfATBbkcQxRnfPBqVSFxlJYHERNK7u7ls1y4sQNhioX7pUsQf/xjR4RhZq15crCyW1dXVFx8KqXOi8Uam7x3voO74cQiHET7/eaiquugbmpmZydKlS1m6dCnhcJjm5uZh+JXR1Uv5sBdD4i4kLS2NhQsXsnDhQsLhsAa/krXqp0+f5rQ03iE7O1tzUB6mspZ2ZZ74eAY//GHSu7spWrMmapC4mWLITElJ0YiJZK26fFju6enhfGUl5+VeHumb0ZeSQmdmJlldXfrsyqQYsdZEGxIHkDg4iC8/H4Ab/vY3qjweRKtVweI6s7MVrfr27du1WnVBmDYxUW1tLYODg6SlpVE8hZEycsxC4hwSEqdRoo9w/TpMq97bqyEwfD6fZi6cLCaS1349xUR6W43NXmem43mc4U9/LFET1VMg44ea5tFNm0gcGKD6wAGsSUnYbLbhWvVpTHt7Oz6fD4vFQrVOzdxmIHF2NRIHSpWs7L//m7KNG9mwcaOiVZc/lBsaGmhsbKSxsZF9+/YpTcDyYllaWmpo9VJvJM6sSpnD4bhgbbzttgn/eYvFQlFREUVFRVx66aUEg0Fqa2uV98Xr9Y5avZTnwk2mehmNljgjENXRYrFYyMvLIy8vj1WrVhEKhaivr1duYdxuNx0dHRqteklJyQWt+uHDJN5ySwSJu/xyIHqRuOk+gA3NUK160xNPYH/sMRyCgMNqJShtmP519dX86+qrKWxqigzpPneO6rVrZ8xcOHWMIC3MQOJaCguxhEJYnU5S+vpYfPw4i0+cIFxRQeubbypDup1O53Ctem6uhsAwSzyip9V4OpA44dOfho99bNxvampq6qhiIlEU6e3tHVVMZLVaJzwXTh25hSMvL2/8Ip0xMh3ma7MTO4DFok+kpyCQkIBLOsB84PHHI5UxQUAUBLozMznv93P+pZd46aWXtFp1QZjWviv5IayoqIhKJG6suT3DtOo9PRr8qqOjA6fTidPpZPv27aSkpAyrXup5UG5sbMTv9+uG4ETrjUx8fDzV1dVUV1ezZcsW+vr6NNXL1tbWYdVLdf9YYWHh2O9LMEhg1y5c8uuOQiROL0R1IomLi6O8vJzy8nJFqy7PhZO16g0NDTQ0NLB3717iAwGqb70VqyhyWrq5iSYkrrGxUUHiZqIlTo7FYqG4pobi119n3euv8/x113HwkksoravDEg5TV1ZGc1ERzUVF7K+rI+473xk2F266sbhAIIDL5QL0Iy3MRuJS+voi/0767LE8/DAFRUUUFBWxevVqQqHQsL6+trY2Dh48yMGDByNfZ0hfn1E3D9FY6NMTiRtLTORyuUYUE6nJmHGJiaTTvyh9DUGnwoIZ64wRiOpEEjuAxaJPpKfFk5hIIDGRjK4urE4nFhizeVSjVS8oUB7+mpoaU6uX0YjE9V57LXXS9064++5xIXEQsSYtWrSIRYsWEQ6H8fl8w/CrU6dOcerUKQBFqy5XyYbhVxOM/L2uqanRhUc3u1JmVON8SkoK8+bNY968ecAF/Er+x+/3c+7cOc6dOwdE7HLqAoameikjcQkJBD70oQgSt3p11CBxM+lGJikpiVmzZjFr1izgglbd4XBgP3mSLiLYtaj6uTg1fz6huDgEUSQnipA4vfpDjL6RwevFKW30Nu3ezbzTp+lNTcVhtSIuXoy4bp1Gq75r164LWnXpeZkOMZGMxKWnp1NUVDTlr2eaJc7tho6OCzZSGPX6VRbaVFZWsnnzZvr7+zVz4dRioj179hgmJopWJE5vZFzOaGIi+aZfLSaS58JdVEykOv2Ln/40FBQgfPvbMDAQFeuM3ojqRBM7gMWiT+RK2U9/CqiQOBh382hLSwstLS0KfjV0KKRRzaPhcFjXHggzkTiIHFyzJoHEQeRDOT8/n/z8fC655BJCoRB1dXXK++LxeIZp1UtLSy/gVxOZdi9Xyg4cAKLrRsYIRPViGYpfNTY2Kouly+Wiu7ubo0ePcvToUQAKCwsj70tDAzWf+ARJAwMxJM6AaLTqPT20fO5ziJKNtK68HICzc+dyVroNy2ttxXrkCLbiYmpqambEXDh19P5em3Ej0/GRj9BaUIAlFFIGp6b29bHg1CkWfOMbsG3bsL6+3t7eiFb9zBlAKyYSBIH09PQpvriLJ+qRuM98ZkJIHEBycvKExER6adVlJC4/P18XudHbDYkbTUwk3/R3dHSMLSbauRPLzTdDOExHVpbyPFoPHoyKdQZUsw91eB4nk9gBLBb9sm0b4vnz0NurS/Oox+PB4/Gwa9cupXlUfvj1bB5taGjA7/eTlJREubSBmkqiFYmDSPWyoqKCiooKBb9SW8mampqor6+nvr5e0apXVVUp70tJScnI74u0Kws0NOC67z5ITET4xCfga1+LikqZ3ojqRGOxWCgpKaGkpIT169cTCASU6qWsVW9ubqa5uZk3gLj77qPS48GXlwdATZQhcXoiqkbGUlZGYUsLhS0ttBQWUldezrwTJyhubkYUBGorKvDl5+Pr6ODgH/4wTKteUVExrSIGvZE4025kfD7wein3eknp74/8+pB1ZiStunou3EhiIvVcOCPERNGIxKmtjZU33DDlB/xiYqIpa9XlQp/0vkYbEqc3ojrejCQmktcXh8NBf3+/VkzU1YVwww0IdjvdUvFCQVSjYJ2B6ZcPxQ5gsegWv99PnaRMFb7zHfD5TGkeFQRhSlr1aEfijPzwSEpKYvbs2cyePRuIVC/l/jG73a7gWPJrSUtLU6pkNpstUnlU7co8VquCqBaeOBE1lbKZNqIgISEBq9WqvB5Fq/7aa4gnT9Kem4tLdcP4r2uu4dzcuQiiiCCK5O3ejUWaoTSVGIHEyVVJvZ5HMAeJk+VDy44eZe6ZM1y2cyf9yck4V65E/PKXEUfTqqvwK7PFRB6Ph0AgQEZGBoWqoe6TiVk3MgBibi54vQjr18PWrRd9UxWtelkZGzZsGFNM9PrrrxsiJurt7aWurg6IXiRObwplNDGRXPAbS0w0olZ9JCTuwQehvz8qCn0ej0dXRHWyUYuJRiRj3G46MjM5vGIFh1esuPDnwmHsgkCV203iDEev9UZUJ5PYASwW3SI3MxYWFpJ59dVT+lqTaR5VVy8n1DwahUhcW1sbbW1txMXFGW6JUyczM/MCfhUO09LSoiyWslb9xIkTnDhxAoC8vDyEPXsQ5s7F6nRq5vZYouRGRo2ozqTBqeoo1cujR+FHP8KXm8tr69dzaNUqLKEQ/SkpnJ4/n9NSgSN7716snZ3YbDasVqsp+NV4o3dV0gwkrv2jH8WXnx9B4qTPQSwWkgcGmHvPPcyV5ph1dnZqCks9PT2cP3+e8+fPA5guJtITiTPrRkaDqF5+OUwCCR5NTCRX/Ds7O8cUE+VJN8sTiYzEFRQU6PK+mlXoM/OWQC0mAhQxkfy+jKlVF0UKbr0VSzhMR3b2BUQ1ipA4PZ9HPTOMjPntb3F99avKGIImqX+qtrKS39x2G/GBAFVuN8KJEwhz5lBaWjqj/j6gP6I6mcQOYLHoFjVPq2cm0jy6b9++CTWPDjY04PriFyEhAeHjH49KJG66VMsWi4XCwkIKCwuV6qXX61UWS6/Xi8/nw7dgAW8uWIAlFCJB6iXIam8nGB9PfDA44+f26I2oGhppt5XX1qb0YK7av5+lR48qi6WnspIO0OBXGq16VZXpc+HkqJE4PT5HzEbiKmprSR4FiYNI39GyZctYtmxZRKve1KQpLI0kJlLjV3o/63re7Jp1I2MEomqomCiKkbhAIDCtlrihYiKZjJEpDL/fryVjPv95BFEkLhgEiCCqUYTEzTTSYrQklZcz+/x5Zp8/T0NxMY9+6lPEBwIsPHECh9VKV1ZWZFRESwuv/OxnpKamKs+KzWbTRVM/1Ri1X51IYgewWHSLWZWyiTaPytVL+eHP3bFDaR71CALBhAQyOzspiCFxU0p8fDxVVVVUVVVd0Kr/+teIf/0roiDQWlDAoHQzuWfzZt5Yu5YapzOCxTmdFIbDM65KBvojqmAuEmcTRcrr6iivq2Pjnj0M1NTg/sc/lLk9jY2NWq269D6q8Suz3peoReJyciJI3MaNcMUV43pTLRYLxcXFFBcXs3btWgKBgAa/UouJ9u/fr+jx9RIT6Y3EmXUjYwSiqs5oYiL5fRlLTGSz2bRadTUS95nPQH4+wre+BX19UVHoUz+P04nEyRmVjDl4EHdTE11ZWby1bJny+325ufzj6quxiSLVLhdJM7jQp34e9SQtDFlr1OuM9FqtDgc3PfMMYaClsBBxxQrE227D6XLR29urIWPkuXCy8Xo6xETT3f8FsQNYLDplupA4GL151OFwjFi9zO7qQrj+emyiiFuaexND4vRPSkoK82bPZt4LLwDw5qpV/P3660nu6yM+GMSfns65OXM4N2cOuFxk/OAHo2vVpzHRaIlr+9jHaMvLG4bEASR973vMmjOHWZKVrLu7WzMXrrOzU3l2XnnlFVJTU4fNhTMqelqpzETilMX88ssj4yAmkYSEBEVMBChiIvmzbCwxkc1mG79WXdqROaRbg0KdkDgzbmTA/I2TGr/avHkzAwMDGmFUc3PzMDFRdXU11p4ebF/9KsWNjXTk5FxAVGNInC7RkDFuN4F77sFdWYndZmPf2rWE4uPxZ2Twxtq1vLF2LXHBIJX79yPExY1Oxkxj9EZUwcC1RnX6lwt9snjNYrFExEQf/zhrtm1TyJjR5sLJYiK5QG6GmKijo4PW1lYsFovp+1V1YgewWHSJvHGqqKgYX/+VQRmpebS+vl65HVOaR1eu5PDKlcpOwZ+aiig1jybMcCSuvr6e3t5ekpKSKCsr0/eL6x3Vrqy+pASAZUeOcPU//0ljUVEEi1uwAFdNzehadamvbzpQy0AggNvtBqIYiRsYiPz6KLuyjIwMFi9ezOLFiwmHw7S2tg7Td588eZKTJ08CF6qXMlKiZ/VSz8OuWUicUYjqSGIi+TA2kphI1qrLh+URxUTqG5nrr4dVq7Du3BmpDkXBjYzeiOpkkpSUND6tOvDyJz9JWk8POW1tAJTU10cQ1Sgo9MHMJC1GTGkpCYEAgsNBWm8vezdsIGFggHf+7W84rVZEQYiIiXp7ce3YMbJWPS9vWg+Zen+vDV9rtm0j8Ic/4JIHMMsz4oasM2oy5rLLLqO/v19TwFCLifbs2WOKmEjer5aXl0+L1VhO7AAWiy6ZCde5I0XGdsrLy7XNo4LA+VmzaJGwinNz53Ju7lwSBgcvNI/OnTu6Vn0ao/6gnvFInLpSJt3WCXY7lnCYkqYmSpqaWHfPPQTe+c5hc+EUrbo0FHLoXDgzqpdut5tAIEBmZiYFBQVT+lqmInHZ2RNG4iBSwCgoKKCgoIDVq1cTCoUuWr1Uz4XT4FcTjN/vp146DUUTEmcEojpScnJyFK26jF+p58KNpFWXq8pVVVUkPf+8ZkemIKpHj8Kf/xwVNzJ6Iqp6ZUSt+r/+hfjiizhravCnp+OXJDf15eX8v09/GqsoYhNFanbsIOWKK6b8GoxG4vRc141G4mTRk9XpZPHx4yw+fpywxULb/PmIv/oVotOpkDEarXp2tqawZLaYSP4c0YNqMWut8axcSeDECTKSkij64Q+hrOyib2hycjJz585lrjQnsaOjQ0NgmCEmmin71dgBLJYpJxQKzejBqeqom0crvF7+dPPNZHV0YHU4EAWBrqysyK1MSws89pjSPCr/MxOaR6MKiYPIUNSnnqL9zBnigkFqpAq2eleWAEqf3tatW+nt7dV8KLe1teF2u3G73ezcuZPk5GTNXLhx41cTTDRa4kKh0AVEdetWkDDbyUQW2lRWVrJ582b6+/s1c+Gam5upq6ujrq6OPXv2KPiVjMWNu3oZDOL4+98BKExLI3MsqcE4YxYSNx2ffWr86mJa9X379kW06h4P1g0bsIkiKb29tOXlERcMUi0jqlFwIzPdg1MvFkWrHh/PpU89RTA+Hk9FBb+99VYCiYlYQiFaCwpoLSjgzdWrsbz2GuUul2YunJGH+IlE/gyJNiTOMQSJw2LBAuR94xvkrV7NKqmwVF9fr5kL19HRweHDhzl8+DBgrpiovb0dn8+HxWJRDJBTiVlrjfLZN28elptumtTXyM7OHiYmUpuV9RYTaSyqsQNYLNGehoYG+vr6SE5O1g3BMUNSIFfKFpw8ydX//Oe4mkfz8vI0VTKzr6/ljRZEERIH2GfNgjNnqMjLI+nxxy/6pqamprJgwQIWLFgARHoM1ZhPX18fZ86c4cyZM8AF/Er+R6/qZbQicUYhqsnJyRr8Staqy4dlBb+y23nppZeU6qV8EzPiRk7alYnLlsGqVQivvAI//vGUd2VmIHGDg4PTjsTB6Fp1+Xnp6OjAWVaGs6yMHVu3kihhqdnt7fSkp5PU1oZlhqPXMD2H3UlFulaNDwZJHhggkJhIUn8/n334YTxVVYqRtLWgQKNVT0xM1BSWCgsLp+2gaUShbyYgcaAlYzZu3MjAwABut1vZ+JstJlJbjfXYU5i11uiNTarFROvWrdOIiWQyRi0mslgsw8iYMQsYwSCNL74YQcbj46mYKv4wxcQOYLFMOXJV0mq16oKFmSEpCA9B4mB8zaM+nw+fz8ebb76pNI+q8Sujq5dut5tgMEhWVhb5+flT+lpmInHKlf/y5bB584T/fG5uroJfhUIhDX7ldrtHxK/U/WOTqV5GOxKnJ6I6WoZq1Zubm5XFcjStunwYq6mpIfnvf1d2ZeK73gVIGyeddmVmIHHBYFAXRFXPDNOqP/kk4k9+gigIOKxW+qVNXlt+Pv/f5z5HTltbxEZ69izW1avH1qpPU/R+HuUYbomTXmuN00l6by/zzpxh3tmzUFFBx5EjiC6Xssb4/X7OnTvHuXPngEh/5nSJiaIdiSt8+OFxIXEQ6eubNWsWs2bNArRiIrvdTldX1zAxkZ5adb0Pu2asNUYhquqoxUSjkTGjiYkEQaCgoODCQVnaWNqrquCqq6g+dYp4m01H1GcSf79p+a/G8raKnlUQsyQFbb/9LR1nz0YQnBGQOJhY8+irr75qSvNotCJxei4wcXFxlJWVUVZWxsaNG5VbQXnjL6NXjY2NvP766xH8SpoLZ7PZKCkpuXihIBjE8fzzABSlp5Ohg2jCbCTO7MZ5Bb8qKmLt2rUEg8FhfX1y9fLAgQOR6mVDA8LmzRQ2N9Oem3sBUdVxV/bvjMSBpFWvrib/wAEuOXCAQFwc37v3XvpTUiipr6epqIj23FwOrVzJofp6+O53NX19VVVVhlvJxhO5iFNYWKjbQcRUS5x8I6O6fs3Oy2N5Xh7Lly8nHA7T2NiomQs3lpiopqbGMOGV2mocTUic8jxOAYmDkcVEarPyaFr1CYuJgkHCu3fjkPrQBB2+12DOWmMEonqxjEXGyO+LZi5cZmbkfWltRbjrLjK6uxG3bAGkwrveqM8EM/2fqrFEdeShyDD1SpmZNzL2WbPg7Fkq8/JIeuKJce3KZkLzaLQicXojquqMhF+pccXOzk6cTidOp5Pt27crWnVlLtxQrbqMxC1fDitXIrz8cmQzFSVInIyoTveIgvj4eKV6efnllytadfl98fl8eIqL8RQXK38mub+fw8uXI9jtFLS06IbFGYXEGdHMbfSNTFNJCf0pKST193P7z35GICEBV3U14tKliFu20DSCVl2NX02XmCgakbhBNRIn9ySNcv1qsVgoKSmhpKREwa88Ho9mLpxZYiI1EqeHfdastcaI51EtJlqzZo1+WnVpnWkIBPB/8pMk9fdTvnmzLlfzZqw1MwEHVpMx4XB4WF9fV1cXb731Fm8BfOELFDU20iyRCoIo6r+xnGBiB7BYphSXy6UgcXl5eVP6WmZVyUD1Qb1iBWzaNKmvYXbzaE9PDw0NDYA+txtmD07VC1G9WNLT0zXVS5/Pp9yOOZ3OEbXq8mJpPX6c1Pe+N9KoG4VInIyoZmZmThlR1TvDtOpPPon4ox8hCgKn580jmJBAb1oa/7j2WgAyOzsjWNyZMwirVo2sVZ/GGIHEmXkjY3U4iAuFSBocjIiJvv1t2LZNwa3kjYxasw6RuYtqfbdZYiI9N3ymIXErVhA8cYLMpCQKfvSjcSNxEMGv5EIRRH7e5LlwoijS3t4+TEykLixNRauu9y26GWuN3+83HIkDnbTqzzxzAb1evx6IIKrxtbVROSNuJkQ++JaVlWnFRDt3Ih44QENpKU1SsS+zs5PC5ubIH9RzYznBxA5gsUwpeiJxZlXJ1JY4vT48xmoelauX6uZRuXopL5ZlZWUXbR6VLXHFMSRu3LFYLOTn55Ofnz+mVr2trY1Dhw5BOEzZxz5GaV0d7bm5WGRLXJQgceq+jZmKxMnJqapixaFDLDt8mO/cey/BhAQu2b+f1vx8XNXVdGVl8dayZbzV0ADf/z5FRUWavr7pnDcIF4o4RUVFuhwOzbiR4U9/QvzHP4DRJQWZmZksWbKEJUuWEA6HaWlp0RSW/H6/6WIin89He3s7cXFxugxONR2Jmz8fy403Tv4LETn4DsWv1HPhhmrVZTGRzWYbv1Y9GCSkQuJsOg2pNROJ0xNRHU+GkjGymGhMMuattxCWLkUQRS2iqvONjFFrjRpRnc5BxmNFIWP274dHH6UnLY2/vfOdnJ03D0EUGbY6TnVjOYnEDmCxTCl6NuqadSNTX1+vIHFGDTJWN48CY2rV5eZRdfVSo1WXkbgVK2DFCoSXXooqJE4vRFWPjKZVF0UR8dgxmv1+6srLqZNRSYuFP7znPZGbGLud4tpaLDMYiTOiKmm0kbQ+HKY/NZXkvj6u+cc/iAuFGExIiNjili5FvPpq6hsaaGpqoqmpiX379invo7zxLysrM+V2VR11/9dUY9aNzOANN+A+eRKCQYQ77oCHHhrzDbVYLBQWFlJYWMill16q4Ffyxn8kMVF5ebkGv9JDBCP/XFdWVupy8I5mJE5Obm4uq1atYtWqVcO06h6PZ5iYqKSkRDMXbpiYSEbigkF6P/GJCBK3aVMMiZtghoqJmpqaNH19PT09HJs1i2OS8EP+ZliCQfqTkyODume4kVRvRNXQSBvGdL+fLqkNxCoXn0b4fWYmdgCLZXIJBul+5RUaGxsBsFZVTflLmnUjYzYSB+NrHh1Rq97aivVznyO9uxvx3e8GoguJ0xNRNSIarXpbG12f+ASiILBjyxY6cnIIx8VhnzUr0jMIpPX0IBw6hCAN7czOzp7mv8GF6I2ogjlGUvHhh4ELSBxAYjCI4HAgfPe7sG0bfr8fh8Oh4FcdHR24XC5cLhc7duwgJSVFsV/JfX1G3gDqPUvGrBsZjUX1ttsu7H7HGTV+tWXLFvr6+jT4VWtrq6JVl8VENTU1ysZ/slr1aEXijLA2jpShWnV5PIL8vqi16rKYSNPX9/rrxN18cwSJ27ABkJ7HGBI3pajJmLVr10bImCeeQHzqKURBoK6sjLC0B3nx+uv5xzveQUVtbaTgJ4qUb9w4Y+bCqWME1WJ0oc/v81EvPdCC+gCm18ZyEokdwGKZeKRdmSMnB979bkrq60lfuDAqbmRgZkxBv1jzqFK9BPjCF8hvbqYjJ4e4YJBS+YQaRUjcTLbEKSktJbOri8VHj/KPa64BYNuf/kRPRgaiIOCsqcGfns7xri6O/+1vAOTn52v6+syeC6eO/HNdXFwcHUgcwLZtkZ+Rnh5tVXLIriwtLY2FCxeycOFCwuHwsALGUPwqWzogy//orVVva2ujo6NDN0ucWTcyelsbU1JSmDdvHvPmzQMiYiI1fjVlrbqMxEmFqWhE4vRCVCeSxMTEUbXqsphIo1Xv68P67ncjiCJnpBl/0YbE6YmoGpWEhARqbDZqtm/n8u3b+cfVV/PG2rXkt7QQtljw5efjqarCU1XFLo+HpO98Z3St+jRF3cKhF9ViRqHP8T//AxYLhU1NZHZ3R/6dnhvLSSR2AItlYlHtysSVKwHpOjdKbmTkgYswM5A4GF/zaGthIQCh+Hh+eM89VHo8ChZXuns3cZJadbKJIXFokLg+CYlbePIkcaEQl+7bRzA+ntoVKxAffBDR6cTr9dLa2kpra6uiVS8vL1cWS73wq/FGfbM71ZiGxA0O4unrA8D21a9CR8dF31SLxUJeXh55eXka/Eo9F66jo4PDhw9z+PBhIIJfybdjlZWVk5oLp478vdYLiTMLvza6+JSdnc3y5csnpVWvrq7W4kzSrqw+FKLv4x8nua+Pso0bowaJ0xNRnWpG0qrL74vz/Hl6U1I4uXAhJxcuVP6Mu6qKjO5urA4HqTMciZO/1xUVFbr1hhq9zuD14paKN5t272bJ0aO05+QgCgLiokWICxeOrlWX/pkOMVFDQwO9vb0kJSXp0sJhWqGvthba2i7YSEG/jeUkEzuAxTL+qHZlYVCaR206V8qMvJFxuVyEQiGys7OH68dnSEZqHn3q/e+nrryc5N5e+lNTcVqtOK1Wtm/dSsqePVibm5UP5ZmC+nV3dyuI6oy3xIGyK7P/6EeAFonDYiE+FKL6i1+keutWtoCCX8kbfzV+tXv3bpKSkjT2q8niV+OJGonTo7BgFhInI6rZ2dnkXXvthJE40OJXmzZtYmBgQINfNTU1KfjV3r17ddGq632QMeNGxghEdayMplVXz4UbVavudlP+oQ8RFwohSn/paELi9EZU9Yxaq7569WpCTz2F9777EG02TixYQLNkijuxaBEnFi2KiInq6hCOHUOorqaysnJGzIVTx4gRBUavM/4PfGAYEpfT0cGKw4dZ8eUvE77pJhoaGpT1xeVyXdCqS6MNpkNMpMYPp1pgNHP0kCj9R2y33w4f/KDOp+rJZWY9RbHM7Kh2Za35+XRmZ2MJhehLStK9edSMG5npvsq/aKQP59S+Plolpfitv/41qX19iDYboiDgsFrpS0nh1KlTnDp1CoCcnByNlUxv/Gq8kTepJSUl4zNwXSRmVcocEhJ3sUrZUPyqvb1dQeJGwq/k6qWs8NbT1OXz+ejs7FR6O6Yas5A49WKu1/OYlJTE7NmzmT17NhApBKixuKFa9dTUVE1VeUyt+hAkTtAJdzLjRkZvRHWiUWvVt27dOqaYaCeQfO+91Didytwea5QhcXoiqkYmrqyMytpaKmtrGUhKorm4GKvdTlFzM6Ig0FxUFBET+XzsefJJEhISNIWl4uLiaV1L9UbiTFtn2tvB46GosZEMGYlTrTMWoLS0lNLSUoWMUc+Fq6+v14iJ4uPjqaysVPotS0tLDelxj8beV7VFtfqGG2CaDbpyYgewWMYf1W5LlD7ownFx/Ok978ESCkVV82g0IXF1QH9KCim9vZTV1xMXDpPv83HJm28SqqykbvduRKni7/F4aG9v59ChQxGtOpEPcXmxrKqqMq16qWejrlmVsoGBAdy9vQAIX/vauJA4OTk5OaxYsYIVK1Yo+JUsjdAMhZSqlzJ+ZbPZply91NsSZxYSp+et3WjJyMgYplVX8CtpLty4tOoyEhcO03f77ZHnccMG3RAWo/HrmYTEwRhion37ED0e+lJTOSMVNwBe3bSJ+rIyBLsdweEgPQqQOL2eRzAHiZOpluVHjrBYml/ZmZWFY+VKxDvvRHQ66e7uxm63K3/H9PR0pahks9nIkkxzZkVPq7GZNzL2ggLweCKzSJ966qJvamJiovK5BBHJi7qw1NHRgdPpxOl0KmIitVlZDzGR3B4B+nyOmF3o0/N51COxA1gs449qtyV/UJd7PPSmpUVF82h3dzdNTU1AdKEKohqJk1cG6XsZ98MfUlFdTUV1tQa/kqtkTU1N1NfXU19fz2uvvabBr2w2m2HVy2hF4txut4KoThaJAy1+tX79egKBQKSvT1os6+vrh+FXk9KqS7sy8c03Af1uZMxA4tSIqlkz4tRa9TVr1ihadfVcuKFa9bKyMoSBAYTvfpeK+nrs69ZFXrPOSBwYdyMzk5E4OYqY6OxZQp/5DA2lpRxYtYojK1ZAOEx3ZiZHli/nyPLlABTv2xd5XyT8aqp9fXpGb0TVjHWm57bbaJDWeEWIY7GQ1dXF0k9/mqXbthEOh2lubtbMhevp6eH48eMcP34c0IqJrFar4ZpydaFvqjc+Zq0zmudx82aQbusnkrS0NBYtWsSiRYsIh8P4fL5hYqKhZIx8GJssGaOxqEpUzlRidqFvOmaRjpXYASyW8UfalYXq6nBKG713vPgiZXV1UdE8Kj+EJSUlumB5ZlviNOrUUcriQ/ErGbeSFd5qHOvll18mLS1NWShtNptuWvXW1taoROL0tsTJSUhIGFa9VONX7e3tGq16cnKyUlWW+/qGvR5pVxaqq8Nx772QkoLw+c/DV74SFZICvRHVyUStVb/sssvo7+/XaNVbWlrwer14gVc/9CESBwaIDwQAyG9uJhwOR94XvcriGHMjo0ZUZzoSR2kpcVLfUaokaFly5AhLjh/HLgg4BIGG0lIa+/tpfP11RauuLmAYhV+NJ2okTo8DmNlIXHFDAxk9PZFfH7LOWCwWioqKKCoqYu3atQSDQWpra5Wb/rq6umFiooqKCmV9KS8v152M0XNzbdY6ozeiarFYyM/PJz8/n0suuYRQKERdXZ1mLlx7e7tGTDQhMkYq9NkleY5QU6PL+mhGoc8Ia6NeiR3AYhl/pF2Z96676E9JIdXvp0T6JBqpeVRtv5pJzaPRNDh1YGAAj4zEff3r0N4+obJ4ZmYmS5cuZenSpQp+pa5e+v3+YdVLebGcilZd/l6POPBzEjG7Umb0LYFaqw6MWL0cTatutVpJ/+c/lV1ZXUWFgqiWvvVWVEgKYGbO7UlOTmbu3LnMnTsXgM7OTsQXXkD84x8RBYGejAwGpc+qPZs3c3jlSsVGKrz8MllXXz2dL3/UqJE4vW6KzETiZtvt2KR/sFjomTUr8p5Ih+XOzk4Fv9q+fTupqanD8CuzUldXR19fHykpKdGFxOXnR5C4VavGhcQByoG+urqayy+/nL6+Pk1hyefz4fF48Hg8iphITzJG7osCfTbXZq0zRiCq6shCm4qKilHFRKORMcPERKrrV8cnPgGlpQg/+lHkBzAKCn16Iqp6J3YAi2Vi2bYNsbERmpq0SNwozaPr16+/aPOoGr8yqnk0WpE42dqYk5MTQeKmEDV+demllyrVS/lDWa1Vl/Gr8vJyZRMzLq16lCNxeiOq481IWnV19XKYVr2lBeGKKxDsdlzSDaNibYwCSUE0IHEQGYi+LBxm2V/+Qhg4sGoVL15/PQmDgwD0ZGRwbMkSji1ZAvv2UXD+vGYunNH41XgTjUhc9wc/SGNJCaBF4gDSv/1tFi9dymKpsOTz+ZT1RR5sf/LkSU6ePAlE8EY1fpWamjrFFzl63hZInDQ/bKJJSUlh/vz5zJ8/H7ggJpILS36/f1Qyxmq1jl9MJK0zrvPnIxbVrCxd7L9mrDNg/izSiYqJ0tLSIgRGezvCf/0XOe3t9KSnX0BUDx6MukKfHs+j3okdwGKZcETpVkS48Ua46SZdmkfV+JURzaMtLS10dXUpqMpUMx1InN5RVy+3bNmiaNXl90WtVX/11VdJTEzUVC+HadVVSJxTRuI+9zn47/+OikqZ3ojqZKPWqm/cuFGZXSe/L42NjTQUFNBQUMDe9euVb0bIYqGutJTShgYsM3xuj96IqqGRNh0WoE3a5C0+epR3vPACtZWVChZXV1FBS0sLLS0t7N+/X3kf5cJSWVnZtIiJoh2JK6mvJ93vj/z6CLsyNX61evVqQqHQsL6+trY22traFDFRWVmZsr7orVWPRiTOKER1qJhITcaMJCYaFxmjOv2LV10F69ZhPXAAyzPPRMU6o/fzOJlcTEzk9/sjYiKAu+4ir7WV7PZ2AApla2MUFPpgZpIWcmIHsFgmlP7+fmqlMoVw7bUwCbRjaPNoW1ubwpAb1TwqP4R6NWu/XQanqjNUq97R0aE5KA/VqmdkZFzo6zt9msz//E8Ih/FKSFyq30/J0aNRUymb7kVxtCQlJTFr1ixmSVXp7l//Gsd3v4soCNhtNrok69iZ+fM5M38+qX4/VocD4dQphKVLZ+S8O70RVTAJiZNuzwVRJCEYpMbppMblgnPn6D15EofqoNzW1qbgV7t27SIpKUlTWMrPzzdFTFRXV0d/fz8pKSmUTvEDydS5PTISd8klsHnzuN9UmaiorKxk8+bNDAwMaApLzc3N1NXVUVdXp+BXemnVBwYGohKJU1vijJKZWCwWDRkzkphoNDJGERP99a+a078yi/TYMfjd76JinZlpSNyoYqLt2xFffZXaigp8+fn4JOlGc1ERP//YxyLYtShSuWsX8ZdfPuXXYUShT/08zrR1HWIHsFgmGBmJy83N1WVjZ7FYFPzKyOZRGYmzRhES19XVpSBx02Hvyc7OZvny5SxfvlzRqqv7+rq7uzl69ChHpcbcwk99CkEU8UsH5GhD4maapnu0ZFRWsvjYMRYfO8aZ2bP53fvfT6rfT6XbjdNqpTctjZMLF3KyqQl+/GNyc3M1mI+R+NV4E42DU7s/+EGaioshHEaQDuvqsnhqRsaIWnW5J6a3t5czZ85wRpohlpWVpXlfjBITyT/XUYvEXXYZTOEwk5SUxJw5c5gzZw6ABrcSRXGYVl0WE8n/jFtMFAzieu65iEU1OZlcHXTsZiFx03FLMCkx0ZkzCFLfZVJ//wVEVX4eZ/g6A/o+j0ZEERMlJ3PZL39JX3Iyzpoa/rJtG4PJyWCx4K2owFtRwaubN5O4Zw/V9fXKe1lUVDTtxms5srUxOztbF0RV78QOYLFMKEZ/UBvRPBqsq8N5332QnIztM5+B//mfqEAV5O91aWnptCJxoNWqr1u3jkAggMfjibwvb71FXWcnzUVFNBcVKX+moaSEXZs3I9jtlHu9xM1gJE6NqOqFxJlxI+OQnsP5p05xw3PPEYyLo668HPvy5Tj+4z+o9Xppa2vj4MGDHDx4UKlCy8+L3vjVeBKtSJzY1ga1tZTW15M2BhInR9Gqr1xJOBzW9PW53W46Ozs5cuQIR44cASIDkuXbMT216np+ZpuFxBmJqA4VEzU3Nw/Dr0bTqo8qJpLWGnHhQli7FmHvXixW65QrAP8uSBxoxUQyGTNMTFRTw2mpiJommRqz29oi3xi9Tv9SjFhnYGYjcZpI16op/f0UtrQwmJxMfCDAp376U9xVVTgEQRETnT9/nvPnzwMXyBjZ4mv2XDh11DjwTDkUqhM7gMUyoZj94aFH86i3spKB5OQYEqdjEhISFJxqa1MTvV/5Cg6rlXOzZ3Nk2TKwWPDl57NzyxZ2btlCcl8fNW++iSBVl83Cr8YbvRFVM25kePe7LyBxUlU1PhymsraWyocf5rJt2+jv71fmwsladRm/2rNnD4mJiVRXVysbfzOql16vl4GBAVJTUymRKtiTjelIXG0t1jVrIjuzCZyq5XliZWVlbNiwQRloKn92NTQ00NjYSGNjI/v27dNNqz4wMHABGdfhc8RsJE5PRHWkqLXqFxMTyVp1ua9PEISImOjZZ5UKgHjDDQDYRFG3CoDR64yeiKpeUZMxipjo8ccRH38cURBwV1Xhl0ZXdOTm8r1776Wkvj6CxZ0/T9X69TNqLpwco5A4Q4p9qkKfXXqtlR4P+T4f+T4fy996i3BFBU379mF3OhWz8jAyprBQU1gyU0ykp3jNiMQOYLGMO52dnTQ3NwPTN9BuMs2jKdIsmWqnE4vOu7IYEgeUlpLa28uCkydJCAQ4snw5We3tbHr11chsOEGgLzWVMz09nHnxRUCLXwmCMG1zoOTo2Thv1o1M19NP03z6NITDFxCcIbuy5ORkDX7V2dmpKWD09PQo1cuXXnqJ9PR0zftiRPUy2i1xtssugyk+k4mJidhsNmVj0NPTo8GvOjo6NFp1WUykngt30QSDOCUkLiclhTwdZvy9nZE4GF1MJBsW1WIiWateff48wurVlDQ0KIiq1eHQtQLw74zEgSQmEgTKX32Vja++Sn9iIj++6y786enk+Hy05+XRUFpKQ2kpe71e4h96SCFjbDabloyZxsgtHHoicYYV+0Yq9A2xkVoefpjisjKKy8qGkzHSXLjm5maam5sVMdHQuXBG/cx1d3fT2NgIzLwBzHJiB7BYxh35RqasrGxG9JGMt3lUzun586OmebSlpYXu7m4FsdQrRlfKlLk958+z8uBBVh48SCgujoalS7E//DAOp3NU/EpeLI2ueg9NMBjE6XQCU6+UmXojM28enD5NaWYmab/4xbje0KysLJYtW8ayZcsIh8M0NTVp+vp6eno4duwYx44dA6CgoEB3rXo0InF6W1SHJj09XSMmGmku3FAxkbp/bBiiPBSJ27MH/t//iyFxE8y4xERVVZxTfUan9vZybtYsBFEks7tbNyzOKCRupnyvLxrVOtOVlYU/PZ34QIA7fvpT+lNSEAUBx6JF2FeupKurSxlJ8Morr5Camqo8KzabjZycnGn5K6g/+/Q4EBpe7Nu2jdAf/4hTsofKpMVo168aMmbrVnp7ezWFpba2NtxuN263m127dpGcnKwxK+tJxsg/1yUlJdNe4B0tsQNYLOPOTGeXhzaP9icnc27WLP4s7xaiqHlUrkpeVDIygZhSKZN+NtSVsrhwmLKvfIWyTZvYuGkTg4ODmr4+Gb1qbGzk9ddfV95HebEsKSkxtDKrJxJn1o0MqJ7HpUvhiism/OctFgvFxcUUFxezdu1agsHgsOqlWqtusVioqKhQnpfy8vIJa9U1FtUoROL07M0aLWqt+lhiokOHDiladY2Y6NAhEm65JYLEvfOdgPQ8RgkSp+fzqHeGiYkefxz7z3+u9MOE4+LoTUvjr9I3obCpKVLwO3eOmnXrDBm6O5VEFRI3wo1MldtNYiBAYk8PS44dY8n//i/hm26itbVVwa6dTie9vb0RMubECSAyd1FeX2pqakwrKOu5hzKr2OddvZr+48dJSUig9LvfhbKycb+hqampI4qJ5MLSWGKiqZIxM32/CrEDWCzjTLQMTgWU3VZyfz+JgQBYLOS1tnLbE09EqmRR1DyqpyXO6EpZ5ziQOIjgV2qtek9Pj6aq3NnZqVQvt2/fTmpqqga/0lurrmdV0qwbGSOex/j4eGpqaqipqeHyyy+nt7dXo+/2+XzDtOrq6mVBQcHY379gENfzz0csqikpMUvcODOamEjG4oaJiQIBqm69lfLa2ogUJ8qQuJk8OFUdi8VCidVKyd69rNu7lx/cfTfdWVksPHYMX34+9aWlipjojbo64h56iMrKSmXjX1ZWNu1/PxmJy8nJmflIHCinf/H55wFVoU+1zliI3NwXFBRoyRjVXDifz4fP51PERGVlZZq+PiPERN3d3YrVWI/PEbOKfcrzOHs2cbfcMvkvhFZMFAqFhs2FG42MkefCjav4FQwS3r0bUZLoCDrOtdM7sQNYLONKc3OzgsTpieCYhcQJokh2ZyfLjxwZd/OojF+Z3TyqJxIX+XrmVMocEhJXlpVF6jiROIjgV4sXL2bx4sWEw2FaW1s1fX29vb2cPHmSkydPApEPcfVcuKlWL/XcXJt1I6N+Ho0aZJyamsr8+fOZP38+AO3t7ZqDcm9vL2fPnuXs2bNAxC6nrl5qtOrSrsy+aBFcemlUIXHq53EmFJ+Giolk3EoUReynTtENiDabcksQFwrxwnXXIdjt2ESR7BmOxBlx2DXaSNrS3093VhYJg4Pc+OyzJAQC+FNTI8W+xYsRL71Uo1XfuXNnRKs+pK/PbAJD7z5jM/pfQzfeiOPMGRgYQPjIR+AbDMxQXgABAABJREFU3xjzDVXImKoqLrvsMvr7+zWFpZaWFrxeL16vl1dffVURE+lNxsg/1yUlJbpYjc0q9hlVfIqLixu3mEgmYy4qJpLWmda+Pjo//WniAwGqrroKfvADHU7/+id2AItlXFEjONGOxMH4mkfV+JWZzaO1tbUMDg6SlpZGcXHxlL+e2ZUyYelS2Lp1Ul/DYrEo1cvVq1cTCoWGVS/b2tpoa2tT8Ct19XJCWvVgkP4dO6iVERwdKmVm38joiaheLDk5OaxYsYIVK1YQDoc11UuXy0VXVxdvvfUWb731FgBFRUWR96WhgeqPf5ykgQEcMhJnt8eQOJ2SmZl5QUzk99Ny113YBYG969bRlZ1NKD6eE4sWcWLRIgDyWlsRjhzBVlIyulZ9mqI3ogrmGEnF73wHiCBxCYEAAGl9fSw8eZKFX/86bNs2Yl/f6dOnOX36NBDBG9WFJTP6VqISiVM/jx/8IExwHU5OTmbu3LnMnTsXGFtMBOgmJtL7IGNGsc+I53G0jCYmklHSzs7OscVEO3desJGuXg1IiKrbraP9St/EDmCxjCvRisS1nD6NJRSiZgwkDmZW86jejbpmVMqMQlTj4uKorKyksrKSzZs3K1p1+X1pbm7WaNUTEhI01cvi4uKRv4fSrsyZlkb4fe8jr7WVnGXLouJGBqafb5fniZWWlrJ+/XoGBwfxeDwKFldfX09TUxNNTU3sA+Luu4+yujoFiat2uaIOidPreTQylrIyCpubKWhu5rUNGwC4+sUX6U1NRbTZ8JaX48vPx9fRwZu//72iVZc3/hUVFRPu69MzMhKXm5urC2ps2ow4pxO6ui4U+mDYWjNMq66aC+fxeOjo6NDgVyUlJRf6+gwQE3V1delqNTYdidMJUTVcTCQjcVL/mU2aYzbVmFHsMwJRHW8mLCbq7ES47joEUeSc1N4giKL+9isdEzuAxXLR6I3gmFUpE+fOjSBx2dmk/vKXE9qVzYTmUb3UqWZUyoxCVIdmqFZdPQdOFEW6u7ux2+0KWpOenq6pkmVnZ2t2ZeK11wJgjSJJwUxD4iBSvZS/xwB+vz9SvdyzB/H0aTpycqiVfy4sFv7fZz6D1eHAKorYRJHc3buxbNkypdcQQ+JQdmXNAwN0Z2aSMDjIqoMHSQgE2LJzJ30pKThXrkS8/37EIVp1Gb9SF5YKCwtNPXTqicSZtc4Eg0Gc/f0ACPfdB93dF31T4+LiKC8vp7y8nI0bNzIwMKDBrxobG2loaKChoYG9e/cqGJ0av5rq+yL/XJeWlsaQOClDxUSBQEAzF27CYiKp0NfS10eXhMRVXnmlLkicGcW+6S70yRlNTCQX/DxuN+1ZWRxatYpDq1Yp3wzF2qjzkG69EjuAxXLRyEhcenp6dCJxy5bBFHXzZjWP9u3YgVf65kRTpUzeOOmJqI4nmZmZLF26lKVLlxIOh2lubtb0j/X09HD8+HGOSw25+fn5CLt3I8yZQ43TqSCqNp0rZUbeyKgR1ZmIxEFkIPrChQtZePQo4Ycfpi0vj79s24a3ooL4wUH6UlM5tWABp6QCR/bevQhdXQp+pceGUI9ELRL33e8CUO1yKUgcFgsp/f3Mu/tu5l13HTCKVv3cOc6dOwdcEBPJ/2RmZk7xBY4dPZXoZq0zMhKXlpZGyfXXX9j9TiBJSUkaMVF3d7eGwFCLiWSt+lTFRHrr599uSBxEyJiRxETyxn8sMZHNbif/1luxqJC4apdLVyTO6GLfTDmADY1aTLR582YGfvtbnF/7GqIgcGbePNpzc0n1+ylpaND+wame/nVO7AAWy0WjHtT4747EgbHNo870dML/+Z/kt7SQvXSpLrsyMyplM2GWjMVioaioiKKiIi699FKCwSC1tbXKYun1emltbaV14UIOLFyIJRQiHBcH4TDxg4ME4+KID4Vm/NyeaELiKC3FAuT6fHRIg4D/86mnSBkYwC4IiDYbnspKOoDDhw9z+PBh6Y+VKlicmX1uQ+N0OgmHw+Tl5ekyO8hsJM46BhIHI2jVGxs1+NVQMVFhYaGmsKSnmKizs1NXJM7sGxm91keIHHxHExPJBMZQMZF6LtyYYiIJibPLlrgoKvTpjahONBMVE2XddReCKNIgFa6tBiBxRhX79EZUjUxSeTlzzp1jzrlzpPT1sWvLFqwOB3FDfxCnar/SObEDWCwXTTRWypqamujp6SExMZGKiorJf6FxRNfm0Xe8A9AXiQNjK2UzEYmDiP2qurqaakmu0dfXh/PXv8b+178i2mwXhnRbLDx9660k9fdT43RGsDink4JweEYecPRGVMFcJK7a7SYhGKTc62XTnj0M1NTgevFFRMlMptaq7927VzE9ys9LSUmJae9LNEoKgsEgzr4+AGz33w9dXeN6Uy0WCyUlJZSUlIwqJmpubqa5uZk33nhDqUKr8aup9OTI3+uysjJd5jKZPSPOqM++0cREcmFJFhMdPHhQ0aqr58JpxERSoa+5v5/uO+8kYXCQqiuuiBokTm9r41QzkpjIbrfjOHgQV0sLndnZHFm+XPn9h1esoCc9HZsoUuVykaQTEmdEsU9vRBWMX2fwenHI4jUZPwT97Fc6J3YAi2X0DEHi9JqnYEalzAhr43gzUvOovFiO2jx6/fUIdjvnpUOc3kgcGFcp0xtRNSopKSnMmz2beS+8AMDv3vMezsyfT2FTEz3p6fjT0zk7dy5n584Fl4vMH/5QU1U2Gr8aT/r6+vB6vYA+IwrAHCTO/r3vARISFwxG/p20K0v63veYPXcusyUrWXd3t6aqrO7zgwjeqC5g6HEzNVr03FybhcRpLKrXXTcpJA4mJiaSteqTEhNJuzKHZDUVdCosmLHOmI3EgVZMJGvV1XPhhoqJZK26tbsb2//+L0WNjYhr1gDS8xhFSNxMIC1Gi1pMtMHjYfALX8BdVcWRZcs4vmQJAL78fPatW8e+desi/WD792ONi8Nms41MxkxjjBCvGb3O9L/vfdRKBfeh5mtd7Fc6J3YAi2XkSE+LIyOD8HvfG3VI3Exhl9XNo3L1csTm0ZUrObRyZeQPhcO4qqtJ7u+n0uMhQcfmUSMqZXojqmB8pSzs9SpSiHe88ALVLhcNxcWR+UkLFuCurh5Rqy5jcdXV1SQlJenwgiYWNRKXLSF9U4lpSJzDAd3d2qrkKLuyjIyMC1r1cJiWlhZNX5/f7+fEiROckKxieXl5moOyXlr1zs5OWlpasFgsUYnE6Y2ojiUmEkWRvr6+iYuJpHUmXFuLeM89kJmJ8KUvQWdnVKwzeiOqk8lQMZGsVZcPy93d3RGtOvDSpz5Fenc3caEQAKXy6TQKCn16I6qGprSUxEAAmyjikeY0zj11ikXHj0fWGEGgIycHZ28vzh072LFjxzAyJjc3d9oIDL1bOMxaZ5z/93+EXC5yfT5y29sjv67X6d+AxA5gsQyP2hInIXF6zu0BYytlgUBgRiJxMHbz6MmFC+nKygKLhX1r17Jv7doIsuVyYT1xAtu8eaNr1acx0Vgpa7rjDnoyMkgcGKDC48ESDlPa2EhpYyPr776bwDvfqenrU2vVZfxK3ddXVlZmSvUyWpE4l2SJs33pS+NG4iBSwCgsLKSwsJA1a9YQDAaHzYXz+Xz4fD7efPNNLBbLsLlwk9Wqq5E4PQ51bxckTs5IYiK5sDQuMdFzzynrTHNRkYKoVh4+HBXrDMw8JA6Ga9Wbm5ux/+tfiP/4B67qanpUA9L3bN7M6QULFBtpzY4dJF9xxZRfg5FInF6IKpiDxMmipznnzrHoxAkWnThB2GLBt2AB4i9/iTgaGZOToyksmSkmUluNq6QD5GRj1joDIBYXg8uFsHAhPPWUzm+q/okdwGLRZsjTIkqYkxHzFIxE4gKBAOnp6RQVFU3tixkcdfNoT0YGxxcvZu6pUyQPDCAKAt2ZmdhnzcLe0sLLjz5KWlqapqqsxy3IVNLX10ddXR0QXZUysbkZGhq0SJxqV5YAI2rV5Y1/e3s7LpcLl8vFjh07SE5O1vb15eUZclCWNyF64IdmIXEej0dBVIumgMQBio67qqpKwa+cUu+YKIq0tLTg9Xrxer2KVl09F66oqOji74u0KxNlJC6KJAVqRNXMQ4FaTLRx40ZFTCT3wcpSIo2YyONBWL8emyjilDZ5irUxCtYZmNlIHKjERPHxrP3tbwnGx/PmypX84x3vIC4YJGyx0FJYSEthIQfWrMHy2mtUuN2ja9WnMXp/r6cTibMA+V//OvmrV3OJioxRz4Vrb2/n0KFDHJI+h9R9fUaLifRs4TBrnQFV8WnDBpBu6mdyJvyd3b17N9/97nc5ePAg9fX1PPPMM9x4442j/v6//OUvPPLIIxw5coT+/n4WLlzIV7/6Va6++mrN73nggQc4f/48g4ODzJ49m3vuuYcPfOADmq/l9Xq57777ePHFF+nt7WXOnDn84he/YKWEboXDYb72ta/x2GOP0dbWxpo1a/jJT37CwoULJ/rX/PeN6mlpz86OiArCYbZv3YqruhpBFKme4c2j6qpkNCFxcqVs7b59VLtchIHmoiLEFSsQb70Vp8uF3+8fplWXsbiamhrd8KvxxuFwEA6Hyc/Pn/Jh0NRKmVQFFq6+Gq677qJvqqJVX7iQcDg8bC5cX18fp0+f5vTp00DELqeuXk5lLpycjo4OWltbsVgs1OhwKIh2JA4i+NXcuXOZK/WPdXR0aA7KPT09Efzq/Hkg0p+pLmBkZWVpv6AaifvCFyAjA+H++6MOidPjeZxKRhITqXHFzs5OnGVlOMvK2A7ESUWQpP5+2nJzyW1r03VujxHrjN6IqqGRrlXjg0H80mfRgpMnecff/46zpkbB4nz5+aNq1QVBoKCgYFoIjGhG4sIuF3mtreSMgcSpyZhNmzYxMDCAy+VSnhe1mOi1114zXEykp+jJrHVGfh4hChBVKRM+gPX09LB06VI+/OEP8653veuiv3/37t1ceeWVPPDAA+Tk5PCrX/2KG264gTfeeIPlkh0mLy+PL3/5y8ybN4+kpCSef/55PvzhD1NUVKQc1Nra2li/fj1btmzhxRdfpKioCLvdruGuv/Od7/CDH/yAxx9/nDlz5vDNb36TK6+8kjNnzsyIBvqoiOopkA8EWCw0FxXRXFQUFc2j0Vgpa7zzTvzp6REkTvoPWSwWipqbKbr9di7dtk3RqssfyopWvbVVwa/Ky8uVD+WKigrDq5fRKCkIBAK4XC4AhKuuggmKQywWC3l5eeTl5bFq1SpCoRD19fWauXAdHR0arXpJSYmmejmuuXBDIn+vy8vLoxKJM2NRzM7O1uBXTU1NChYnz4U7duwYx44dA6CgoEB5X2qOHiX5Pe+BcJim4uILiOqRI1GDxJn5vZ5I0tPTtVr1J59E/MlPEG02nDU19Es/z6cWLuTUwoXk+nwRLO7sWaxr1uiGnOkZvRFVMBeJE0SR1L4+5p8+zfwzZ6CigvbDhxFVG/+hWvXMzExNASNDhTMaGTUSVykPdJ9kpgWJW7x4QkhcUlISs2fPZvbs2UBECa8uLBkpJlJbjfUgLcxeZ/REVI3OhA9g1157Lddee+24f//DDz+s+f8PPPAAzz77LM8995xyALtsyG7qc5/7HE888QR79uxRDmAPPfQQlZWV/OpXv1J+n7oKHA6Hefjhh/nyl7/MNmkVe+KJJyguLuapp57iE5/4xAT+lv/GUT0FMn546WuvUV5fjygIM755tLe3N6qRuBqnk/gRkDjQatW3bNkS0aqr8KvW1lZqa2upra1l9+7dJCYmaqqXhYWFur8veh7AzKqUqa2NeiCqcXFxlJeXU15ezsaNGxkYGFDwK4fDQWNjIw0NDTQ0NLB3714Fo1PPhRvzfRmCxFmjDInT83mcSCwWC8XFxRQXFytadXkunKxVb2lpoaWlhf379xMXClHxoQ9hFUX8Ur9FtCFxeiKqRsVisVBQXU3BgQOsPnAAsaaGX3/oQyT291Pa0EBtRQVteXm05eVxqL4evvOdYX190zUXTp1o7H3te//78ZaXAyNb4nLy81mRn6/Rqqvnwo0kJlL39RklJpKplqhG4qTZYZNJZmamOWKiYJDa556LWFQTEykuKJj0a5ZjxjoDM0e8NpGY/ikWCoXo6uoiLy9vxH8fDofZvn07Z86c4aGHHlJ+/W9/+xtXX301N998M7t27aK8vJw77riD22+/HYjcejQ0NHDVVVcpfyY5OZnNmzezd+/eEQ9g/f399EvN4RC5wvy3jwqJc0hV1PlnzlDldrPo+PELzaO/+AWi0znjmkdlJK6goGA4XjTBmFopk7AQ4dpr4frrx7UrS0lJYd68ecybNw+I4FdqzMfv93Pu3DnOnTsHROxy6urlVG+F29vb8fl8uiFx0yEpMKJQkJSUxKxZs5g1axYQ0arL1Uu73a5UMx0OB6+88gqpqanKs2Kz2bTVSxmJ83ojSFx6OrYvfhHuvz8qkDg9EdWpJiEhgZqaGmpqaoZr1U+coK2vD3d1NW7VuI2OrCz2r16NIIrkezxYZjASpzeiCubcyDildWbemTNs+8tf6E9KwlVTg7hkCeKWLcO06gkJCZq+vukQE0UtEvfII4RdrojVuKMj8uujXL+qterr169ncHBQMxdOLSbat2+foWKiaCz0qRFVvZ5HGF1MpJ4LN5qYyGazjU7GSGuNOHs2bN6McOgQFqt1yhUAM9YZvZ9Hs2L6Aez73/8+PT093HLLLZpf7+jooLy8nP7+fuLj4/npT3/KlVdeqfx7URR55JFHuPvuu/nSl77E/v37+exnP0tycjK33XYbDQ0NAMPmEBUXFyu40dA8+OCDfO1rX9P5bxjlkZ6Whk9/Gn96Okn9/ZTL5SJ18+iaNVyyZs1wrfoMaR6NaiRukrcy2dnZLF++nOXLlxMOh2lsbNRUL7u7uzl69ChHjx4FoLCw8AJ+VVMz4eql/L2uqKjQBcF5u1bKMjIytPhVa6tmLlxvb6+mepmbmxt5X5qbsd55J6m9vTSWlFxAVKPIEjeTF0WNVr2ri7Y77kAUBOyzZnFq/vwIel1czIuSCTarowPh8GEEqe/SLPxqvNEbUTXjRoZ3v1shLazS608eHIyIiR58ELZt0+BWslbdbrcrtyLTISZqamqip6eHxMTE6ELiiorA5cK6ZMmELXGJiYkjionkG+WOjg6NmCglJUUhMGw226TJmGAwqKyPMSRueNRiotHImKFiopqaGqXgV1hYiOWZZy6YryXqTBBF3SoARq8zej6PZsbUA9jTTz/NV7/6VZ599tlh6E9mZiZHjhyhu7ubV155hbvvvhtBEBQ8MRQKsWrVKh544AEAli9fzokTJ3jkkUe47bbblK8z9AEPh8OjPvT3338/d999t/L/Ozs7o+rNMyxDkThpZsjFmkc3b96sNI/KH8rNzc3T0jwaTZUyj8dDIBAgIyODwsLCqX0xKRaLhZKSEkpKShT8yuPxKBv/uro6mpubaW5uVrTqFRUVGvvVqNVLg5A4MypleiOqE43FYqGgoICCggKleikXMGSteltbGwcPHuQgYPmv/6Ksro6kgQEAqlyuCKIaQ+L0TWkpue3trDx0iHyfj1MLFpDi97Nu714cgoC7qorO7GyOdHZy5C9/AUbQqk+ir0/PROONTO/vf0+dJBSyyUjckHUmMzOTpUuXsnTpUkWrPhS/GiomUheWjBATqZG4qfbZTgcSZ9u4ESRyYrIZSUykLiyNJSYSBGF8ZEwwiEdC4tITEynKz5/Sa4a3b6FPzmhkjHzb39PTM5yMOXwYYckSymprtYiqjhUAM9YZPRBVM2PaK/3973/PRz/6Uf74xz9yxQhzJuLi4hRkZ9myZZw6dYoHH3xQOYCVlpYqAyDlzJ8/nz//+c9ApMkdoKGhgVJV6aKpqWnYrZic5ORkkpOTp/x3eztGlD4chXe8A264YUrNo/LDb7fb6e7uNqx5tK2tjba2thgSN0ISEhKwWq1Kc/5IWnW3243b7Wbnzp0kJydrqpeKVl2FxDlkJO7ee+FLX9Jl0KHRlTLZEqcHoqpH4uPjqayspLKyUqtVf/VVxCNHaCksxCtpjAGcViu/ff/7EUQRQRQp2r0by5YtOrwO/ZE4NaJarcL6phpDsDjVrswubZhmnz/Pxj172LhnD4OJibhXrED8+tcRJdx9mFZdhV+ZLSbSE8Ex80bGuWgR4ZMnKUhLI+v//u+ib6iiVS8q4tJLLx1TTHTgwAHDxER6ip7MKvQZgajKUYuJLrnkEkVMJBeWPB7PMDFRaWmpcgtTWVk5vIAxFIk7eDCGxE0i4yJjZs/mqLRnA0jp7aWxuJiU3l6SBwZ0qwAYsc7AzJUPXSymHMCefvppPvKRj/D0009z3XXXjevPhMNhTX/W+vXrOXPmjOb3nD17VlnYrVYrJSUlvPTSS4rcY2BggF27dml6yWK5eAKBAG63G5A03VO4lRlP9XLKzaPyjYzUg1ZRXq7LwfrtXClTVy8BTfVSFEX6+vo4c+aM8sxlZWUhxMdj+9nPsPp8dBYXX0BUdbTEgbGVspk4OFUdRat+6BD85Cd0ZmVxftYsnr/+esJxcQQTEjg/ezbnpcUy/bXXENraRteqT2P0RlTBQCxOtStzyJY46WcFi4XEQADbvfdik3qMe3p6NAWMjo4OnE4nTqeT7du3DxMTjdbzrFcaGxvx+/0kJiZSoTqwTybTcSNjXbgQJNRzIhlNTCR/lg0VEyUlJSn9YzabbVJa9UAgoFji9PgcMbvQpxeiOlbUYqKLadX37t07nIzZuxfLzTdHkLhrrgEkRDUKkbipPo96ZkQy5oknEJ9+GlEQqCsrA4uFvtRUnn7f+4gLBqmorVUKfuWbNs0o4zVoWzhmPGkxJBM+gHV3dyszVSBSCTpy5Ah5eXlUVVVx//334/V6efLJJ4HI4eu2227jRz/6EZdeeqnSq5Wamqqw2g8++CCrVq3CZrMxMDDACy+8wJNPPskjjzyi/Hc+//nPs27dOh544AFuueUW9u/fz2OPPcZjjz0GRH6w7rrrLh544AHlBuaBBx4gLS2N973vfZP/Dv0bxu12EwgEyMzMpEAHC46c8VQvR2sele1Xw6qXqh2ZePPNsHAhwrPPQm5uVEgK/H7/tCJxcnJzc1m1atWIWnWPx0NnZydHgCPvfjcAGZKwprCpiVBcXART1assjnGVspk+OFWJtNvK6uwkt62NcFwc6V1d3PrrX+OQZva4qqvpSUoaXateUzOtN/x6VyUNx+KGIHGKJW6EXVl6ejqLFi1i0aJFhMNhfD7fsLlwZoqJ5MJCTU3NlG94zLqRAf0R1aH4VXt7uwa/GiomkrXq8mH5omIiCYkLBAJkJCXFkLhxZigZoyZhRtKqp/b1IbzrXVS63XjLygAJUY0hcbomISEBq82G9ZVX2PrKK/z4M5+hLT8f2/nz+CQTqSwm2unxkPyd72jMyvn5+dNmvJajt9XYzEz4J+PNN99kiwp5kXuoPvjBD/L4449TX1+v3J4APProowQCAe68807uvPNO5dfl3w+RauIdd9xBbW0tqampzJs3j9/85je85z3vUX7/JZdcwjPPPMP999/P17/+daxWKw8//DDvf//7ld9z77330tvbyx133KEMYv7Xv/4VmwE2wZiBxMH4tOpjNo+++qpSJQtbLIq10RZFc3vkSmphYeGM+TkdqlUfHBzE9dxziI8+iigINJaU0C3dtHgrK3novvuocrsjVbIXXqDkuutmXJUM9Lc2yjELibOJIiVNTZQ0NbF23z4CVVXUbt+OKD0zQ7XqFotlWF+f0XPh5ITDYeWwq8fm2iwszrFw4QUk7tFHx/WGWiwW8vPzyc/PV/Cruro6TQHDaDGRnoUFs25kjEJU1cnJyWHFihWKVr2xsVHB4txu9zCtuiwmstlsw7XqMhI3Zw5s2oRw4EAMiZtkMjIyRteq2+30pqRwYtEiTixaBEBcIMCrGzciiCJWh4OUKEHi9PxeG20k7ejqoi0/H0soxLv/9CdS+vpoy82NjB9auBDHwoX09vYOJ2NUfX3pks3ZzJi1XzUilnB4pCXt3zOdnZ1kZ2fT0dExo1Aes/PYY49RX1/PTTfdxJIlS6btdYykVVcnw+9HOHcOQRRJ6+7mqQ98gKT+fu596CHiw+HIBtbh0OVTyqgPv+eee45Dhw6xZs0arpFQixmZp58G6Sa5PTub/+8znyGUkEB6Vxc9Qw6Oqampw+bCzYQcPHiQ559/nsrKSj7ykY/o8jUNNcVJVz4/+9jHqCsv58ZnnmHpW29d2JUNKTD09vZqChg+n0/z5ZKSkjTVy8ngV+NNfX09jz32GElJSdx7771TPvjt3AnjaXXbsWNqG6rnn3+egwcPsnr16gnNuxwrI4mJ1FHjVzabbWJa9WCQwK5dPLRnD4FwmE994hMUSf3Qk00wCDU1F7+RmepH66FDh3juued0fR4nEhm1V2vV1dFo1d1uyj74QeJCIX52++3UlZfzH888wzLJKKtHsW+kz5LKSn0KfQ0NDTz66KMkJiZy3333mVaImUyCTz2F94tfRLTZeHPlymHriyUUoqyuDmHJEoQbbhiZjJnGBAIBHnroIQKBAJ/85CdHdRBMJIauM9J/4PA3v8nf/uM/qPB4+OgvfhH5ddVaE7rxRs1cOLfbTVCeWSplOsREP//5z/F6vfzHf/wHy5YtM+S/YdTZYObejcYyLfH7/cpCNN2VsjGbRx0OutPSOLp0KUeXLlX+TFpPD/ZZs6h2OknWq1GBGBKnLnf78vIIJSSQ2dnJXT/4Ab78fEQJi3NKVbKTJ09y8uRJQKVVl1Cf6ZpSr/f32gwkzv+731EnfR/HQuIgcvCdP38+86WBnzJ+Jf/T29vL2bNnOXv2LHABv5L/0VOrLlcl9UDiwDwszojK9UTERC+//LKiVZdv+kfVqku7Mk9iIoEPfpCMri4KL7kkKm5kYPpHFCQkJIyoVVeLiRStOpB8771Uud2RPhmknqQoQ+L0eh6NTHxZGVUeD1UeD8cWL6YH2Lh7N/3JyYiCoIiJvD4frz7xBImJiZq5cEVFRdN6E1JbW0sgENANiTPLSCq63dDRcWGdAc1aE0dEqV9WVsaGDRsYHBzUFDCmQ0w03VbjqSZ2AItFE3mTWlRUNKPm3AxrHv3tb/H8939HrsdVzaPteXna5tHjxxFstrG16tMU2doYFxcXVZY4eW6PIIrEAQWtrRT4fKyuryf05JN4VVUyjVb94EGAYX19ZjDyeiM4ZiFxzkWL4NQpCtPSyBwnEidnKH7V0NCgyAlcLtcw/KqoqEhTvZzoXDh19N5cm4HF6W1RHS1DxUQtLS3K7dhoWnX5MKZo1VW7MvvWrUDkebREiaRAjajOlI3TUDGR0tf3xhs4PB76UlM5N2eO8vt/9dGPKnICqyiSHkPidEXi2ru78UlI3LrXXiNFkrJ1ZmUhrlqF+KlPITqd9PT0cP78ecVNkJ6eriksmU0zqUVPUz0ImrXOhMNhxMFBAITPfhZuv/2ib2piYiI2m01BzGUxkfxZ1tnZOaqYSJ4LN9XMNKvxRBM7gMWiyXRXJcebhPJyrA4HVoeDTbt28e0vfpFQQgILjh+nrryc9tzcSPNoays7f/lLjVZ9pjSPqi1xeskSzLDEibIlTq6UqcricdIgxMrKSjZv3kx/f7+CXzkcDpqbm6mrq6Ouro49e/aQkJCgqV5OCL+aQBoaGujt7SUpKYlyac7JVGKWKU5ZzBcvhikgqhaLhdLSUkpLS5XqpXouXH19PU1NTTQ1NbFv3z6leilv/MddvZSQOLe8udapsGCGqMCI5/FisVgsFBYWUlhYeFGtuiwmKi8rQ3juOYSqKipqay8UROz2qLmRaWhowO/36/Y8GhFZq77q3DlCn/kM9aWlvPCOd1BXUYElFKIjJ4fDK1ZweMUKAEr27UMYHFT6+qZ7LpwctSVOz9t/o4d0i9/6VuTr1tYqhy8sFrK6ulh2550s27aNcDhMU1OTxqzc09MzrWIiPQsLZq0zGovqDTdM6iEfSUw0dC6c3mKiaNXPy4kdwGJRYlSjrtE3Mu6qKkIJCWR1dPDuP/0JC9CWm4t95Uoct9+OKD38M7l5VI+YhcTVS0ic9SJIHES06nPmzGGOVDnu7OzUYD7d3d3Y7XbloJGenq6pkulV1dLTEgfRjcRBpHo5FL9S44pqrfqOHTuU6qV8IMvNzR1+UJZ2Ze6kJAK33UZmZycFOiBxYA4WNxOKT+MRE9V6vdSuWMHuFStIHBhgUNroZ3V2EgYsOnrijb6RiQYkjtJS4sJhyuvq6JU2ie/+4x9JGhxUCIzGkhIa+vtp2LuXvXv3Eh8fr9Gql5aWTlvBz+PxRKyNGRkUTmGkjByzkThlnYFha43FYqG4uJji4mLWrl1LIBCgtrZW2fgPFRPJgil5fSkrK9P1509vJM6sdUbv9VEtJlq9erUiJpJvx2pra4eJicrKyjRz4cYkY+TRQxK9YYsdwGKJ9rS1tdHe3q4rEmfKjYwKibMAWCzktrez6lOfYtW2bYRCIQW/0mjVjxzhyJEjgPnNo6FQKCqROMfChXDqFEXp6WQ+9tiET9RZWVnD5sLJi6VcvRyKX6mrl5OdXxOtSJzez+NoSUtL01Qv5blwY2nV5cXSarWS9o9/KLsy8YorAH2RODAWi9Pb2qhXhmrVOzo6IjN7Xn4ZURDwqwpHT37oQ2R0dSlYnODxMDO8qsMTNYU+UIp9bT09tOXlERcMYrPbSR4YYNb582Cx0D1rFo4//hFRmkHW1dWlVP5feeUVjZjIZrORk5OjwwsbX6IViXNISJztrrvg4x8f15uakJBATU2NghD39vZqCn5tbW14PB48Hg+7du0iKSlJU1iaKhnjcDh0ReLMMpIajQPHxcVRUVFBRUUFmzdvZmBgQFNYUpMxr7322thkjLSpbO/uxnfXXVhCIaqvuw6+9z2djCTmJXYAi0WJvChWVlZOqf9Djhk3MvzpT4g7dgCjSwri4uKU5lFFq64aCik3jprZPNrQ0EBfXx/JyclRhcQpG6fFi+Hqqyf/hdDOhVu7di3BYBCPx6O8L3V1dQp+deDAgQh+papejkurHgwyuHMnbkn3b9Opt8cMJE7eOJmJxEHkfZHxq7G06ocPH+bw4cMAlLa0IGzdiiCKijZf0FlSAMZhcfX19QqiWiZJFmZisrOzWT5vHss/9SnCFgt/ePe7Ob1wIdnt7fSkp9OdmXlBTCSKFP70p5rC0nTOhZMjf/5ClCFxDzwQ+bq1tSQPDET+nbQpzPj2t1m8dCmLpcJSa2urZi7cdIqJohGJ0yCq118/6Qc8NTWVBQsWsGDBAiBS1Br6voxGxlit1vH3wcs3MlJBV9DpRsaMdcYIRPViSUpK0pAx6jlwI5ExsphIaGtD+MIXyO7oQJTQ34raWlKcTh2vX81L7AAWi5JovJHpufpqGiTW2/pf/xXx9l5kR5aYmMisWbOYNWsWEBkKqa6SmdE8qr7y1+NwZwaqYPQsmfj4eKV6efnll9PX16d5X3w+H7W1tdTW1rJ79+6La9VVSFxQQuLyV62KGiRupkgK1NXLTZs2KVp1+X1pamqivqCA+g0beG3DBuWb0ZKfT31JCSWNjVhmuJFU3Usw45E4aVdm8XppkA6L7/j73xEcDjyVlREsbt486goLaW5uprm5mTfeeEN5H9Vz4aZDTOTxeAgGg2RmZlJQUDDlrzeTkDiIFDAKCgooKChg9erVBINBBb9yOBzDxERyf6a8vlRUVOgmJvL7/VGJxBmFqObm5rJy5UpWrlxJOBymvr5eo1WfFBmjOv2Ln/0s5OUhfOtb0NcXFeuM2+3WFVGdTIaKiZqbmzV9fYqYCODznye/pYWw9A0wotBnVmIHsFiACBIXjZUy+TUXFxeT8YEPTOprZGRksHjxYhYvXjyseul0OkdtHpXxq8lUL/XeXL/dkDiI4FejadUdDgd+v39Urbr11Cky//M/NUiczW6PGiROb0RVzwzVqnf/+teI3/seoiBwZu5c+qTn4dXNm3l182bSenqwOhwIp08jLFtmKn413hjRzG0YEiftyny33057bi5xwSA1LhcJgQBWpxOr08nWO+7Af801OCUkzuFw0NbWhtvtxu12s3PnzmkTE+k5ONVUJE669bJ9/vPwiU+M+02ViYrKykouu+wy+vv7NfhVS0uLRkwka9VlLG4qWnWndPNfWFhIZubUgVSzkDgzPvssFsvUtep//aty+m/LyaEtLw9LKETNwYNRsc7AzBtkrCZjNGKi7dsRX3sNb3k5rarCjUI+6dj7alZiB7BYgAiCIyNxeiA40SopGFq9DIVCeL1ejVZ9qs2jaiROiCIkTm9EdaIZSauurl4O06p/8pMIosiZuXMB/ef2gLFInJ6IqpHJqKxkydGjLDl6lGdvuIEjK1dS7XCQPDCAs6YGf3o6JxYt4kRjI/zoR+Tl5Wkwn8n29ekVeeMF+vV/GT44dds2xNZWqKujoraWJBmJU+3K0mBU/EoUxWkTE+n5mW1WoU+NqJbfcANM4eYwOTmZuXPnMlf6XOrs7NS8L2qt+ksvvTQ5rbp0+rdHKRInP49mFp9G06qPJCZSyJhTpxBWrkSw23FI3+OK2lqS+/ujYp2BmSEfGiuKmCglhS2/+AV9yckcXrGCf119NYn9/ZQP/QCY6qbSxMQOYLEA2gqwHliKGZUyo5E4iOBXI2nVp9I86kpOJviBD5DV0UH+ypVRg8TNpA9qtVZ9/fr1ilZdFEXEt96ivquLpuJimoqLlT9zYPVq2nNzEex2yrxe4qIAidMLUQXjJQVhrxeHtHlZ/9przD5/nmBcHN6KCsRlyxDf+U5qvV58Ph8+n0/Rqg+dC2c2Auh2uwkGg2RlZZGfnz/lr2cKEgeI2dlQV4eweTNceeVF31Q1fqUWEzkcjjHxK5vNpptW3e/3Uy9tkKIRidNrfVQnKyuLZcuWsWzZsmFadZfLNXGtuhqJ+9znIDcX4RvfgN7eqFhnZCROL0R1shlJq64mMPr6+jhltXJKOnglSkWQzM5O/KmppPX26nojY8Q6o/fzaGikzWJKfz8h6Rm0Op3Eh0Ij/r5oSOwA9u8euXl0/34guiplPp+Pjo4ORflrRiaqVR+xefTKK4HI3J5oQuJmSk/SSNFo1Zub8X/sYzisVt5cuRKn9HprKyupraxkx+WXk9zXh/XgQQSpupyXlzcj8As5RowoMFpS0Hb77XTk5BAXDFItNXXHh8NUeTxU/fCHXLZtm4JfyRv/lpYWvF4vXq+XV199VcGv5PdyKvjVeBONSJzmebz88kjv6wQyGTFRVVWVctNfUlIyqYOI/JqLiorGLzgYI28nJA5G16qrxURqrbrFYtH29R04QPzNN0eQuNzcC4hqDImbUtRadUVM9PjjiE88gSgIeCorGZSokJOLFnFy4UJK6+sR7HYEu52qDRt06+vTM/LzqBeiCsYX+vB6h88iBX02lSZn5v1ExGJepF3ZQGMj7i9+EeLjET78YfjGN6KiUjbdSBxcXKs+UvOoX+qRqXS7oxKJm8mWOABKS0nz+1l44gR2mw0nsOzQIcrr6hAFAYfVSl9qKqe7uzn9wgtAxC6nxuKmYy6cHPk2D/TZ8JkmKZCQuEqPhyRJIT10VzYUv+ro6FAqykPxK4j0Z8rvybjxqwkmWpE4PRHVoWKinp4eDRYnF5ocDgfbt2/XaNUFQbi4mEhG4iRrZjQV+tSIqtnFJ7VW/fLLL6e3t1fTP+bz+bRa9YEBat77XgRRxC+hvQqiGgXrDMws0mK0xMXFUSEIVOzezabdu3FVVvL4Rz9KXCBAfmsrzcXF1JeVUV9Wxmu1tSQ89JBmLlxJScmMOFxGY6Fv8L3vxSX1oAtSoVu3TaXJiR3A/l2j2pW5Z80iFB9Pdns7eadORWWlbCZkJK16bW0t9u3bEffupa6sTNM8+vw738nhlSsjM3vsdip27SL+8sun/DqMtsRFExInV8oWnjzJrPPnWfXmm4Ti4qhfuhT7D3+Iw+nE7XbT0dGh0aqXlJQoi6Ve+NV443K5dEPizLqRARUSd9llcNVV43pTs7OzWb58OcuXL1fwK3UBo7u7m6NHj3L06FEgUqmVb2H00Kr39PTQ0NAA6CPgeDsgcRDBr8YSE01Iqy7tysK1tYh33QU5OQhf+xr4/VFR6NMbUZ1KUlNTRxUTiWfO0AucnTuXs1KBA6A/KYmjixcjOBxk/BsicWbcyHgkAmf2+fO893e/oysjA4cgIC5ejH35crq7u5X3CS6QMfJnWXZ2tg4vaOLRcw9lVqHP8/OfE3Q4yOzspKClJfLrem0qTU7sAPbvmCG7MvXcHkuU3MjMdCQOtM2jl//85/SlpLBz0ybeWLeO+ECAYEKCgsXt3ryZpD17qG5oUDYyhYWFM6JKBtFZKfN9/ON05OQQHwhQJSFxWCzEhcOUf+UrlG/ezCZpKKTb7VYGDzc1NdHQ0EBDQwN79+5V8Cu5H8bo6qWeCI5ZNzKa53Hr1sibOcGo8at169YRCASGzYWTter79+9XtOryJmYyWnWNRTUKkTg9rY2jZTxiIrVWHbjQ1+f1UvnRj5IQCNCWl3cBUT10KCoLfTPl81iORkz01FM0fOELiIKAXRBwCAJYLDSWlvLMu94FQFFjI8JbbyGUl1NdXT1t5Mho0RtRNWOd4d3vRpR6X+URBZk9PSw5dowl//u/hG+6iZaWlpHJmOPHARQxkc1mo6amxhQxkc/n081qbGahz15aCg4HwuzZWJ56SudTtbmJHcD+HTNkV+aQNtVJ/f1R0zxaV1dHf38/KSkplM70pku5ebSvj36pMrz6jTdYvX9/ZGaPzYbDasWfns65c+c4d+4ccAG/kv/Ri9GeaOQDCkRXpWw8SBxEtOpD58LJWJzdbqerq0vBr1555RVSU1M11Uu9tep6HnbNupExAlFNSEjAarVitVrZunUrvb29mn5LtVZ9165dE9Oqy72vUYrEyYiqXtbGiWQiYqI9QMJ991HtcimSggqPJ4bEGRBLWRml9fWU1tdjdTj4mc1G4sAAqw4cwGm1Ul9aGhETtbez76mnlPdRfl7KysqmZS6cOnLvdDStM4N/+ANuybxrk3uSVOuMhcjNfWFhoVarLj0v3hHEROXl5cr6UlFRYYiYSP65rqiomDJJYFahD1QjfNatgyVLpvbFpjmxA9i/Y1S7re70dBpLSgB4Y+1a3rj0Usrq6rCKIja7ncoZ2jwa7UicTRTJ6ehgxeHD/z977x0mx1Wmb989OefUk7taOY2kUbSSJTlgY2MsY3I2LMFEE7wsi9e76zWLWYOBBXa/H7tgr7FhSWvABAfJkhVsWTmnro6Tc+wJHb4/uqqmeqZHmlBd3SXPc11zXSBNt1tddeqc85z7fV5WnzhBsLKS5kOHECW+3+VyRcSv1OlXermXLpeLQCBAbm4uBQUFs3ovXZG4nJwQErd9O9x665QvalZWFitWrGDFihUEg0Ha29sn4Fdnz57l7NmzwBh+JbuXM+kLJ6u/v5+WlhZAm0WIXicy8sIpWkgchPCryWLV7XY7Xq93arHqkZC4hx+GgQFDIHFqRHW241ELjQ8m6uvrC12XgwcRbTb6s7OxSeYGQFN5Ob+5555QQIEokhvHRp/WiKqsqMw1qt2/TLVYbTZuefFFAAYzMrCvWYPtgQcQ7XZ6enpwOp04nU727NkTilWXDA+r1Up+fr6uJ35aphrrOc+4Vq3Cf/Ys2SkpFH7ve1BeftULqpAxNTVs376doaGhsLq+jo4OPB4PHo9HCSZSG0takTFGNPoMldo4BcXfynpO0ZdqtSVvCDL6+8kcHKStpITGigoaKyqU4tFJY9VjKCMicR2f+AS9ubkhJE46UZJXZaYnnsBcUYG5ooJNmzYpvVDkh3JTU5OCX73++usKfiUv/KPpXqpdSUMicTfdBDMMKjCZTIp7uX79evx+/1Xxq/Gx6pWVlVMzMKQVmV3aPJSWlmoSBKLHiQxo31h8KooUq67uCxcxVt3vR3jiCWpaWuiVkLhEn4/qOSROM2VnZ4eCic6dI/j447SVlGATBF66+WYCiYmMpqRwZvlyzixfDkDhwYMIg4OKsRTrvnBqaY2oQhTnmqsgcZhMZHi9LP3851l6110Eg0G6uroU7FqJVT9/nvPnzwNjwURWqxWLxUJGRsYsPty11dXVRU9PjyZInJ4nMvJ4tC5Zgumuu6b9+rS0NBYtWsSiRYuAsWAi+WdwcFBzMkbrEg69jD6tEdVYa24D9maUalUm44crT5zg5pdeoi8rC9FqRVy2DFEqHo0Yqy79xKJ4dGRkxNApcdUuF8lXQeIghF8pseqEnB81ftXd3a3gV6+88gqpqalhqWRaxqpr+aDWyymLFqIq14NVV1dz4403KrHq8nWZUay6um/PXXfBqlUIL74IJSWGOJHRGlGdidSx6ps3b1aS6+Tr0tzcHIpVBw69//0k+nzkdXcDobqYJHk8GgiJiwV+OC2ZzZiAktZWRpOTCSQmkjI0xLuffRa7VKPUUFFBx+goHW+8wRtvvKHgV/LCv6KiQve+cGpFw+iL6lwjIXFuiZqIhMRByFgqKCigoKBgLFa9sVEZL263e0IwkdlsVk7HqqurNSdjtEw11mueAe3vkfHBRC0tLWF94a5GxkwpmMjvp+n550PIeGIiFRIBNRvpZfRpiajGg+Y2YG9GSauy4DvegU2axOV+CtkDA9SdOkXdQw8RvPtu2trawvCr8cWjhYWFYVicHu6l0+kkEAiQl5d37fjja0hXJE5yqiw7d8Jb3jKtVVlGRgZLly5l6dKlins5vinkhQsXuHDhAhB6iMuT5Wxi1dVInBYITixCCqJZ1zA+Vr23tzfMvRwfq54p9R2Tf3JeeklZkQUZO5EWTp2C3/3OECcy8njUAlHVSsnJyVitVmWTMjAwgP3557H9/OeIViu9ublKImlTRQXf/upXsdjtISzuhRcouO22WX+GaCBxWo9HWXohcYLdjsXpxOJ0wiuvMCQIOH7/e2ySudTZ2angV/v27SMlJYXa2lrlWVZUVKTbqZ+WSBzoN9c4V67Ef/YsOampFHz/+9dE4gCFqKisrGTr1q2MjIyE1fW1trbS1NREU1MTBw8eJCkpSfNYdS2/a73mmWghqrJMJhNlZWWUlZVdM5hoPBkjCMLEYCLJ7BMtFti5k9qzZ0kQhFkfv+ph9Gk9HuNBcxuwN6t27aLj6afpu3w5HIkbVzwqx6pPVjza0dFBR0fHBPdSxq+i4V4aFYlzOBwAWG+6KTQpzlBq93LNmjUEAgGamprC8Kuenp4w/GpGsep+P+Lzz4den5VFpgaba72cslg9qHNycli5ciUrV65UYtXVBsbAwACnT5/m9OnTABR1dSG85S0INhvZvb0Koio3MjbSiUy8InEQ2vgu8/tZ9vvfEwTai4r4/z7xCXzJySSPjDCUns75JUs4v2QJHD5M3qVLYbHq0cavpir5NLqsrEyzXnV6InHj+/akPfYYi5YsYZFU1yfHqsun/YODg1y6dIlLly4BIbxRfV2iGUzU2dlJT0+PUrMzW+k11yjjcfHiGSFxEAommj9/PvPnzwcIi1EXRXGszk8Vq64mMKYbTKQ1Eqc3eq0lono1TRZMJCcsqoOJZDJGqR+z2Sh83/swBYOIO3cC0njU6Pg12kaflohqvGhuA/Ymls1qhcuXqSkqIvmpp665KptO8ei+ffuiVjxqRCSuoaGB4eFh0tPTKdPgyF+thIQEKioqqKioYMuWLWGx6na7nZaWlklj1QVBwGw2T4rF2evrQ0jcX/4SeooawCnTGlGdqdSx6hs3bsTn84X6wknXpbGhgfb8fNrXr+fw+vWYAgEAsvv6aCoro6KhgcQ4TyMF46TEyXa3CRhOS8OXnEya18uXvv1tmsvLlehut8VCd3c3x44d49ixY9JLzQoWV1VVFbNgIq3j5/VA4kamgMTJCotVDwYn1PX19fVx8uRJTkqpcyUlJWF94bQMJlIjcVr0AdS7R5yW4/FawUSDg4NhwURyrLq8Ub4qGTMOiSsvLZ3159VjngF920FE0tWCiURRZGhoKDyY6AtfoNbhwCn1LbOKoqbHr9E0+mTjXQtENV40twF7E0t5eNTXw+bN0359LIpH+/r6aG1tDX3uOSQuomYSq652L/P37IF3vINgMIjtne8EJETVIE6ZloiqlkpKSqK2tpba2loAvE8/jePRR7FJrQi6JHyvOz+fn953HynDw9Q6HAjnzmFdtuzqseoxUn9/vzIetVzwRRuJk1FPi91OUiBApcdDZUMD2+x2Ri5exKHCfNra2hT86sCBAyQlJVFTU6Ms/PUKJlIjOFrUf+mGxNXVETh7ltzUVPJ/8IMpIXEQMjDMZjNms3nSYKLW1lZaW1sV/ErLWHWtNzJ6zDVap6hG0lSCicbHqquDiaqqqsbIGMnos0lInOXMGU2QOIj+PKP1eNRCkYKJbDYb9mPHcLW305uby6m6OuX3f3XvvUoaaY3LRbIGZl+0jL547/s6E81twN6k8vv9Y0icRg+P2RSPTilW3e/H/qc/AWDOyiJjlr0r4PpH4mCie9nR0aGkX8mx6ufOnePcuXMA5Pf0ILz1rRS3tdGXkzOGqBrEKTMCEgeQXlnJ4vPnWXz+PIGEBL714IOMpKYi2Gw0mc14MzK4tHAhl9ra4Ic/VGLV5c1yPKRAyd91WVmZZpieLkicXJOkSokD4IknSElPjxyrLv2og4leeukl3YKJOjo66O3tVU6wZyvdkbglSzC97W0zfp+pBBOpY9VnHEzk9xPYtw+7hD0KkmEyW+kx10QDUb2WJgsmkk/6Jw0mGhhAeOghSlpasEcBiYPozjNqRFWL8ai11MFEWzweRr/yFVzV1by8YwdNUipwS1kZLWVlHNq0KTTPHz6MJTERq9VKWVlZzPvCydIaUY0XzW3A3qRqaGhgZGQkKkgcTF48quBXVykejRirLhePrlkDK1caCokbHh7GI610Yv3wMJlMFBUVUVRUFNm9dLvpys3l6Jo1ymsSfT72bd2KIIpUud0kaYTFGQmJi/aJTEN5OSOpqaR5vbzv6acxAc1lZdhWr0a8915cbveEWPWSkhJlvFRXV8cEy9B6UtQFifvlL3FLNXhKTdJVbHElVr2ujmAwOKVgIvl0TMtgIvm+nnIN5zVkZCQOZhZMpMbiIm5QpHmmERj+2MdI83oxb9qkyZGJHnNNrJE4mBhM1NPTE7ZRVoKJAD71KTL7+xmQzJuSlhbN06+iPc8YAokzm0keHcVqs/HizTcDcPsf/kDa8DCiRGD05uZi93qx797N7t27J5IxMaRJGhsbQ4hqairls6ifjzfNbcDepNL7lEBdPApTj1W3WCxYbTYK3vc+CAaxvetdoc9toOJRGYnLz8+PKyQOIriXTz+N45//GdFq5cTKlYykpjKSlsb+rVvZv3UrSaOj1DidCGfPYl28OHKsegylNaIKOocUiCIJ0gLE3NyM+aMfZfOuXRFj1WX86rXXXiMxMZGqqipl4W82m6PuXgaDQYXLNxQSt3IlgXPnyEtLo+CHP5zWjtpkMk05mEjGr7QKJjIqEhcNRHW8phpMpI5VnxBM9Ic/KLt/29atQAhRTfB4DNEjLh6ROAhtfMcHE9leeAH7X/+Ko7aWAdVJ/s/uu4+itjYFi6vds4fUm26K4aefXIYx+kAx+/q7u2mRDPclFy6QOTDA8jNnCJpMdCxdiviTnyDa7ZHJmPz8sGTl9PR0DT7Y1KRnCYeemtuAvUkV68J5tXsJRGwKGeZefv7zmBsb6c/OJnF0lGq325BIXLwrtbKShZcuMe/KFU6sXAnAtj176CwsRBQEBrKysM2bh629nRf/4z+UWHX5wZyTkxPTzy+fyJjNZk2QOD1OZPj1rxFffBFQIXHjVmQRY9VVBkZPTw8OhwOHw8GePXtIS0ub4F5qvVFub2+nr69P2fzNVnohcUqK6pIlcOedM38jdAomkpE4qZZW0CgBTA8kTn72aTUep6oZBRO5XAg33IAgimOIqs2m+YlMtOYarRHVaEgJJkpK4oaf/xxfYiK/vftuzi9bRsbAAIMZGbQXF9NeXMzhDRtIOHCASrdbmV/Ky8tj2hdOVjSQuKgZfaCYffaHHwagrKmJzIGB0N+ZTJiAon/8R4rWr2fd+vUEAoEJdX1dXV10dXUpwUTj6/qiGUxkpDXUdDS3AXsTKp6QOFn5+fmsWbNmont57Bju9nZ68vLokaJt/cnJ/Nd99yGIIoIoUu10xnXxqBGdsoaEBEZSU0kfHGTbvn2YpD5VraWliKtXI773vThdromx6kVFYfjVNZtCaiwj9u0Zfutb8Zw9C4EAwmc/CzU117ygmZmZLFu2jGXLlhEMBuns7JyAX50/f57z588DoXQ5rWPV5e+6pqbGUEhcNGsJNA8mklZlDSYTI/fdR/rgIGVzSNy0FSmYSDYwlGCiigrsFRW8DMqXMZieTndeXqhpd5wnkmqNqEZV0rFqkt9PR3ExALf96U9YRRF7bS2i1YooCHQVFChkzN69e0lJSQkzlmIVTNTY2Mjw8DBpaWmYZ5vQhQ5GH8CuXYgeD3R1YZGNPoh4/CoH2lRVVbFt2zaGh4fD+sK1tbXR2NhIY2Mj+/fvV4KJ5OuiZTCROtU4nk52tdDcBuxNKIfDQTAYpKCgYNr9OvRQmHspFY86q6v501vfqiTFNZvNNJvNHFQVjwpSkXY8FY/29fXR1tYGGACJA2VVJv7gB0DoRMYkzQomk4nS1lZKP/YxNu7apcSqq5tCtre3097ervSFG98UMprupdaNGvU6kQlDVD/0oWm/3mQyUVhYSGFhIWvXriUQCNDY2KhcF7fbPWmsuoxfzcS91HpxrQcSFw1E9WqaVTDRyZOkvOtdEAwibtsW+sxzSJwmysrKYvny5SxfvjwUTPTUU9h+9CPsgoDNasUnbWD23HQTe266ifzOTgSbDeulS9SuX68rfjVVGdHo6+/uplWKnRfsdtK9XpacP8+SCxegspKuY8cQpYW/3W7H6/WGx6pLwUSysaRXMJGWSJxeRl8wGET0+wGwfvKT8JGPTPmipqamTjmYCEIGoXqjPJtgInl+zM3NjbsSjtlqbgP2JlS8uJJTklQ8arHbGZCKpt//5JMMZmYqLplSPPryy5Fj1WM4aOXvury8XJNJWzenzGaDwcGrOmXqWPUdO3bg9XrD0q86Oztxu9243W7FvVTjV0VFRZq6lzISl5SUpAmCo3dIgVbjUQ60qaysZOvWrYyMjIS5l62trRNi1dV94crKyq5+Xfx+/Hv34rhyBQCrAVPi9EbiYAbBRIEAlR/+MILNxnnpRE3QuG8PRA+J0xpRjZZMJhNFNTUUHT7M+sOH+dNb3sIbGzZgbmwkyefDU1lJV0EBRwsKONrUhOnb36a8vFw56a+srIxZXzhZgUBASTU2EhIn/uM/AiEkLmNwMPR3quPX/KIi6ouKqK+vJxgMTqjrGx9MVFpaqjzHtDqZjyQjGn1hiOqdd8IsvptrBRMNDAxMCCZSJ15PKZhI2v2LUs8/wWKJq3pzLTS3AXsTKhquZLSdMk9iIiOpqWQMDCA4HJiCwfDi0f/3/xClGphIxaNqlywWxaOGQuKGh/F4vQBY/+VfoKtrShc1PT2dxYsXs3jxYgC6u7vDXDKv18ulS5e4JMU7Z2dnh+FXs3UvZfdtpic646V3j7honRKkpKQwf/585s+fD6D0gZPxK7lPnPw5MjIywgyMsFPySEjcxo2arMr0ROLiAb2OFEwkGxjiuXN0Dw3hqqnBpar5Ord4Mf6EBKyiSIHbjckASJyWC+FozzM0NOCQ7o1N+/ez9Nw5hlNTcdTWIq5YgbhtW1is+v79+8di1aXxEotgooaGBoaHhzVLNdbN6HO7obt7LI0UJj1+lfuJlZeXs3nz5ojBRC0tLbS0tHDo0CFl4y9fF62CidRInBbPEb2NPq0R1ekEE8lkzDWDiVS7f/FTn4LSUoTvfCf0AJj1jRc/mtuAvcnU29tLe3s7JpNJaQg7W+nilP37vwPhSFxY8eiGDazbsGHS4tGjR49y9OhRQL/iUaMicWGI6lveMuP3ycvLY/Xq1axevZpgMDjWFNJux+l00tfXx8mTJzkpOVxyrLrsXk452ldaldmPHAFCTpkW0uNEpre3V3NE9VrKzs4O6wvX3t6uXBc5Vv3s2bOcPXsWgIKCgtB1aW3F8ulPkzY0hCjdYIIoYtK4b080kTglgCMONmDjlZGRwZIlS1iyZAn099N1//3YBIFTdXW4pRNdcd48RKmOKaenB+H4caxS3aVefZ+mKq1PdvWYZ/o+/GHaSkogGMQinZamjoyw8NIlFj76KOzaRW9vb5ixpMSqSyfCcjCR/KNHMJHhkbhPfxo++tFp7aqnE0y0e/fuCcFEBVI5w3QlI3F5eXma0DV6G33RfvZNFkwkzzHjg4lSUlIUA8NqtVK0bx+me++FYJD+rKwQohoMIhw5ouHuPz40twF7k+l6RuJg8uJRefDrWTza1tZGf38/SUlJmiA4RkXiIOSSmc1mzGbzpO6lOlZdvo7ydZnQF06WtCrzNzbiePBBSE1F+Mxn4KGHDHEiIyNxWo3H6cpkMlFcXExxcbHiXjY0NCiJpA0NDXR2dtLZ2ckRwPTVr1Le2EifFBZRa7cbComTx2O8psQpMpvJ7+pizdGjtBUX466uZtG5c5Q3NiJarbirqujNzeVEby8nfvMbIBSrLmNxsQ5i8Pv9ChKnxcmubvNMVxd4PJibmsiQKIDx80xOTs6EWHV1XV+kYCI1fhWNYCIjGn1hiOodd8wKiQMdgokko8+mMRKnh9EXy0bG44OJZDJG3iyPDybKHhhAuOsuBFFkSBorZhlR1XCeiQfNbcDeZDIiEjc0NESDjMQ9+uiUkTiYWDza29sb5pJFKh7VKlZdjeDMIXHhmop76XQ6cTqdSqy6XD9mtVpDseq/+52yKmuorlYQ1bJTpwxxIgPxhcRBeF+4sFj1V19FPHWKjqIiGiorld9/4dZbubRwIRZRxCqKFO/bh2n7dg0+h/ZInNaIKuiDxNmle2P5mTMsOXeOLfv3M5qcjLO+HvHhhxHHxarL+NX4uj49g4kaGhoYGRnRBInTa54BsBcWgseDsH596Aa8xkVVYtVLS9m4ceNVg4kOHz4clWAirVON9Tb6olGrNVkwkWzETjuYSHX8apeRuH/7N/D5DGH0aTkeZ6tIZIxS1+dw0JeZycmVKzkptcEBxox3rXb/caK5DdibSNcDEpc7CyQOQu7l+OJRNX413r2Ui0enFasuF4/KSJyBQgqigahORVNxL8P6wuXmIrz+OsKSJQh2OzbpfrbY7SFE1QAnMlqPx2hIcS+PH4d//3d6cnM5uHEjhzdswBQIMJqSwuUFC7gsGRxZBw4gdHdPHqseQxmxb0/vRz4yAYnDZCLZ52PeV77CvFtvBcJj1UVRVIwmu90ek2Ai9X0921MCveaZMET1xhthBvfJZMFE8nWJRjBRWIqqAZE4PdBrdTDRtm3blGAi+aS/ra1t0mAiq8NB6Qc+gCkYpE+FxFmOHjWM0Sff1/HWyFhNxmzatAnfz3+O6xvfQBQERKuVJrMZTCasavIJZr/7jxPNbcDeRGptbWVgYIDk5GQqVS72TKW3U6b1IlVdPLpx40b8fj9utzvMvRxfPFpZWamcjkV0L2UkrqkphMSlpCDcfz/8wz8YwinTGlGdiaYSq97T08PxRYs4vmgRBIMkj44CkN3by2hSEsk+X9z37dEaUY2qpNVWbk+PcrOtOnqUtUeOKGmkzpoa+mFCrLo8XmpqanTvCydLjcRp8RzRG4krb2wkfRIkDiLEqnd0hKWS6R1MpOUzW695Rj0etUJUoxpMFCElTgvpYfRpjahOV5GCiWSzb3ww0UtAxpe/jCCKJI+MANFB4qJl9EF0ex9qqaSKCgS7HcFup+3kSX70mc+Q4PNR5XKF/6IGvdfiQXMbsDeR5pC4qysxMTHMvRwaGgpzldXupVw8GuZeqopHPTU1jKakkNnfT+np04ZxyuLxRCZirPqTTyL+5jeIgkBraSmjUmDHazfcwJG1a6l2uUKNuu12yrZti8v4WtmV1Go8gj5InCjdG/NEkbKWFspaWrjh0CF8NTW4X3oJUXL81bHqhw8fVq6jGr/Sy431eDyMjIyQkZFhLCSuoCCExG3YANu3T+mimkwmioqKKCoqYt26dboHE2mNxOk9z2g5HsdLs2AidUrcpz8NJSUIjz0Go6OGMPriCYmDibHqcjCR+MYbOJqbGczM5Mzy5crvd+Xl8fztt2MVRWodDtLi2OjTejzKispco55npPVerdMZMlRBm91/HGluA/ZmkOyUvfEGYCwkrqenh46ODt2ROAjhV5O5l3a7ncHBwXD3UlU82ihNKnNInPZS3Mu//hWA43V1/P7uu0kZGiJ1ZIS+nJzQqYzVCi4X6d/+dpirHC/Nx42KxLUXF2MKBEIBHKCsypIefxyL1YrFamXnzp14vd4wA6OrqwuXy4XL5eKVV14hNTU1zMAoLCyM2kbZqEic8rm3b4cZnnBMFkwkXxfNgomkecZx+XIIGc/P12Ss6THPgP79MSMFE8l94SIFE8mx6havF+sjj2BubKQ/O3sMUTUQEqfleNRaYcFEdjv+L34RT0UFNquVA5s3E0hMZCgjgyPr1nFk3TpMgQAVr7+OEAxOHqseQ2mNqEIU5xrV7l82+gQZP9Rq9x9HmtuAXe+SRoqvqQmnjMR96lPw8MOGcMrkB3VFRcXUmvdFUTMpHh1MT+fyvHnUOJ2kxDkSpzWiCvqcyDSVlwOw4tQpbv/Tn2gvLg4x5EuX4pg3D6/XGzlWXcKvYnFfXRdI3NBQ6M8nWZWlp6ePxaoDXV1dYfjV0NAQFy9e5OLFi0CoPlO9UdYyVl3LxXUskDgtEdWZBBPJ9WOTBhOpT2Ruuw3Wr0c4cCB0bxhgnok1EgehYCL53oerxKoDez7+cdK8XvI7OwEoaWkhzes1hNEH8UlaRJTZTKLfT43LRYbXy6vbtpE4Osrdv/sdztpaREGgo6gIz9AQnn372LdvH8nJyWHGUnFxcUw3mVq33oj6XLNrF/5f/QqHFI6ibMC02v3HkeY2YNezVCPFU1urIHElZ84YzinTy5WcqsYXj47+/Oe4H3oIURC4Mm8eLaWlYDIpfXsS/H6q3G6EM2cQ5s2bPFY9htIawdHjRIZ3vENBFQRRxAQUt7dT3N7O+q9+Ff9ddymx6na7HY/HMxarfuSI0txTjV/p4V56PB5GR0fJyMigtLR0Vu+lJxIn5ueHkLgbboAdO6a1KsvPz6e+vp76+noCgUAYfuVyuejt7eXEiROcOHECgNLS0jD8aqZJaUNDQzQ0NADaLK71QuKigahG0lSCic6cOcOZM2eAsWAi2cBIff75sBWZ4lyfPg2/+pUh5hktx6NWihhM9Ne/Iv7+99gtFobS02mqqACgtayM73/+80oaqWX3bjJuvnnWn2EOiRsz+uSgpxqXi6XnzrH03DkwmehZuBDx6acV9Hp8rHpWVlaYsaR3MJERk68b1q5l5MwZ0pOSKPu3f4Pycg3d2/jR3AbsetW4kaI+zjUiEhcrV3KqSq6oCNUciSIVHg//++53k9Xby4LLlxEFge78fJy1tTg7OtjzX/9FamrqhKaQsUYxtHxQ63Ui0/PMM3RcvIgpEMAiOdjqVVkiTIhVV6dfdXR00NDQQENDA6+++irJyclh+FVJSUlUrovalTQsEjcLJDghIYHy8nLKy8vZsmWL0hdOvi4tLS3Kjxyrru4LZzabp2Zg+P04/vjHEBKXnk7u1UINpii9kTg9TwkiBRN5PB7lukQMJmpuxrJtG1ZRJLu3dyKiGufzDMQ3EgeqYCKTibW//CWBhAQazGae/uAHGUlNJcHvpzs/n+P19Ryvr4eDBzHb7ZPHqsdQ6lRjrXBwPZA4uR2EID275ePX3H/5F1bV17Oqvp5gMEhLS0tYX7j+/v4JwURqYymawURyqjFoY2LrNdco43HhQkzveMfM3yjOFR8jck7aa9xIkTdgosXCn26/HUEUqbXb47p4tKWlhcHBQcMhcfJ3vfj8eW7/858JAl0FBYj19Yj33Yfd4Ygcq65yya7ZFFJj+Xw+nE4nMPsFn64nMgsXwsWLVOTmkvbf/33Ni5qWlsbChQtZuHAhEKoxVDeFHBgY4MqVK1y5cgUY6wsn/8ymL1zY5zZgSlw0EFVZkfrCqXHF3t7eEH7lcLB7927S0tLCsLiItQ3SqkxcsQLWrUPYuxd+8INZr8r0QuK0Go+zUWJiIjU1NdTU1EweTFRairu0lH033kiilEaa09tLf3Y2aUNDmOIcvQZjIXEACYEAqaOjjKSmkjQ6yhcff5yGykolkbS1tHTSWHW5L1ysNppaf9fxhMSZTCbKysooKyvjhhtuwOfzTUhWloOJXn/99agHE2mdamz05Ot409wG7HqVagR409JokOpkBrKzeWPdOt4wQPGoPAhra2s1+VyxQOIg9FAu6Oqi4JOfZM2uXQQCAZqamsLwq56eHo4fP87x48cBKCsrC3MvtW5UOV4ygpOZmUlJScms3ksvlwxUiOrKlSEkbprKzc1l1apVrFq1KqJ7Ob4vXFFRkXJdptwXbpyGhoZobGwE5lLiJlNmZmZYrHpnZ6dyCuOQDIzz589z/vx5IFSfqcbiMv7yF2VVJr797QChXjIarcqijcS53W5lPMYLEgcRgomeegrxiScQrVbsFguDUt1eT14eP7r/frJ7e0NkwMWLWOrr46ovnCw1ompIJM7pJGNoiPlXrjDfZoPKSvpPn0ZUBa3IMevyGM7IyAgjMPQMJjIiEudZs4aRM2fISE6m7PHHp4zEJSUlYbFYsFgs7Ny5k8HBQRwOh/Is6+7unjSYyGq1zpqM0TroSY+5JlqIajxqbgN2vUo1AhwWCyQkUNDezs0vvYRNELBHKB5NSUkJw69iXTxqRCSu+5ln6JSQuNoISByE8KuKigoqKiqUWHU1ftXa2kpzczPNzc0cPHhQcaHlfkrRcC+1RHD0csm0RlSn4l62t7fT3t4eFqsuX5fy8vJrGwV+P3YJiSucQ+KmJHVfuMli1bu7uzl27BjHJJe6vK0Ny44dlDU301FUNDYeNVyV6YHEWSyWuETiZOVVV7P6+HFWHz9OwGTi21/5CkMZGZgbGmgrKaEvJycUTNTcDN/5zuSx6jGUjMQVFhaSm5uryXvGEonjiSfIys1lxYoVrFixQolVV/eFGxwcjEkwkYzEaZVqHBMk7p57Zvw+GRkZE4KJZCNW02Aiv5/gvn2I0vU1UvJ1NBDVeNXcBux6VQSnbJ7NxqILF1h04cKUikflppCyU6ane2lYJG7BghASl5dH2k9/OqVVWUpKCvPmzWPevHkAShNIuSmk2r18+eWXSU9P1zxWXcvFtV4nMtFAVNUa715eLVZ97969pKSkKL9vtVonxqobGInTcjzOVlOKVS8uprG4WHlNyvAwx1avRhBFSltaNMPijITERftEpq2khKGMDJJHRvjof/83mEy4qqsR6+oQb72VpnGx6vJ1lJ9jsQom0jroSRck7n//F4cUVnOtlDh1rPr69evx+/0TDAy9gomMjsRpHQaWn5/PmjVrWLNmTVgwkSiKuN3uCcFEZWVlyvwyKRkjzTOtIyP0f/rTJI2OUrVjB3z3u4ZIJNU6tTGeNbcBu141w+LRqzWFVBeP1tbWRtW9dLvd+Hw+srKyKFYtpGaiWCBxwsqVocapM1BWVtZV3ctIseryQ7m2tnbaE5vX69UUidP7REYrRPVaulqsut1ux+v1TupeWs6dI+s97wkhcXffDUjj0SBInJaIqtYaH6ve9z//g/j444iCwLklS/AlJzOcns6Lt9wCQMbAQAiLu3ABYdUqzU49tJLW4xH07dtT43SS5PeDyYRgtyN8+9uwaxeDg4NhBkZ3dzdOpxOn08mePXtiFkyk5Sm6bkjc2rWMnj1LZnIypd/5zrRS4hITE5VgohtvvDEsmMhut9Pe3j5pMJHVap0VGaO1saCH2ad1iupkihRMpDaWWlpaFDJGDiYaX9eX8H//N4Zeb9gASOPR7TZM8rXW2GQ8a24Ddj1rPBInOdjXKh7dtGmTgl/JbkxTU9OE4tGqqqow/CoaxaNGQ+Lkh4dWD+rpuJdHjx6d4F5WVlZevV5HlRJXlJFBjga9l/RwySD2LQoixaorfeEixap/4hNUeDx0FhaCwZA4LVMbo63sqirqTp5kxalTXJ43D19yMmtff53u/HwctbUMZmZyZvlyzrS0wBNPhMWq19bWxrzfoNZInB4nMvz614h/+hMw+YlMRkYGS5cuZenSpQSDwQkGxtWCiSwWi6Z94WT19PTQ0dFhOCROHo+WWSJxMP1gIjlWXd4sTymYSEbizp0DjIvE6WnWJCcnh5ExkYKJ7HY7drtdIWMsZ88iSCf9YbXoBkm+1hpRjXfNbcCuc8lIXGVeHqlTROIgHL8CrupeysWjWrqXRkTimpubGRwcJCUlhQqpP4vWGu9eDg8P45AQUlEUr+peTohVl2xxW10drF2LsGcPfP/7mqSSRNslUyNx8dCiQO1ebt68WYlVF0UR8dQpmvv7aSkro6WsLPQCk4lfvvvdoZMYmw2zx0NCHCNx0XAlo51I2uLz4c3MJHlkhFtfeIFEvx9/YiKeykrElSsR77iDhgix6hUVFWEGht7BREYMKfC97W04zp8Hnw/hb/4GHn30qhfUZDJRUFBAQUGBgl81NTWFGRh6BBPJ33VFRYUmG+/rISVufDBRa2trWF+4SLHqshEbMVZdRuJGRxn41KdIHhmhcvt2wyBx8ZLINz6YqKOjYwIZc04QOCd/TvnLCAbxpqeT7vVqh/oQnblGa0Q13jW3AbvOpTw8Vq2a1WhRu5dAqCnkNdxL+aE8LffS78e7e/cYglNTM+PPLOt6ReIghF+p3cve3t4wl2zSWPWuLoQHHiCntxd7FJA4iO6JjJaIajQUFqve3s7Axz+O3WLh5Z076c7PB5MJh8WCw2Jh986dpHm9WI4eRZDc5YKCglj/ExQZCokDZVUmPv44ALUOB4l+f+ivAgFqXC5qvvMdtu/axdDQkJJKZrfb6ejowOPx4PF42LdvH8nJyUoqmV7BRFou+PQ6kfF4PPh8vhCi+qEPja1+pyh1MNGWLVvCgonsdnsYfiUHE8n41WyCiYyKxGk9HieTyWSitLSU0tLSa8aqRwomqjh8mIR77w0hcRs3AsZD4uKxF6nJZKKoqIiioqKxYKKf/QzxqacQBQF3VRVBiUh68dZbefGWWyhvbFQMv6rNm+OmL5xa8bLZ1UvxdwXmpJnCGqdqfENfzb10u9309PRMKB69pnsprcrsOTnwzndS3NpK9vLlhggpgNgjcRCqO1q5ciUrV65U3MuIseoADzxAQUeHgsSZm5o0RxX0CCmIdyQOs5nMgQGWnj3Ln2+7DYC7f/1rhtLTsQsCdouFofR0zvf3c/7554EIseo694VTS0ZwioqKNOmDplciqWi3Q3//GBIHE1ZlaWlpLFq0iEWLFgHQ3d0dhl+NDyaS8Sv5R+tgou7ubjo7OzVDcPQ6kdEaUZ1KMNF4/EoeK1ar9drBRDISJ7Ux0MLoA33MPrvdrnlq41Q13WCi1JERat/1LgRR5IJkEhoJidMaUY2WEhISqBIEqvbuZdvevbxw880c2rSJwvZ2EgIB2kpKaKyooLGigv0eD0nf+lYYGVNaWhrzeTSa69V41dwG7DpWc3MzXq83qkgcTO5eRioeHe9eCoKA2WzG9LvfjRWP3nEHID2oDRJS4PP5cLlcQPw4ZWr3cuPGjfh8PjweD7Y9e7AfPEhjeXlo8wWQkMD3vvAFKhoaEGw2BFGkYu9eEmfQW0sPGSYlDpRVWbPfz2BmJinDwyw9d47EQIB1b7xBICGBxpUrsT3+OKLdHjFW3Ww2hxkYerqXWqZS6YbE+Xw4h4YAEP7+76G3d0oXNS8vj9WrV7N69eqwYCIZi4uEX2kZTCTf15WVlZogcXrh19EunB8fTNTR0RHWF25awUSS0dcyOsrgHBI3K101mOjSJbzAxUWLuCgZHADO6mqyJGMk0yBInFaIKkR/nqGhAZdkKGzav59VJ07Ql52NKAiIy5cjrlxJf38/NptNebZnZmaGlZDEIpiotbWVgYGBqKUax6PmNmDXseTBpScSB5HdS7VLNmnx6KpVoeJRdWqjQUIKXC4XPp+P7OxsioqKZv+GUVBSUhK1tbXUpqXBT36CNy2NZ9/7XtzV1aQPDuLNyMBdXY27upq927eTcuAAtS0tCuYzIVY9RlIjcVpGR0cdifvOd4AQgpMYCIT+zmQiIRik8utfp/LGG9l2442MjIyE1fW1tbXR1NREU1MTBw4cICkpaUL6VTSvixGRuDBE9fbbp43EQeRgIrWxFCmYqLKyUhkvMwkm0voUXY8TmWggqleTGr+adjCRx0PlffeR5PMh3nADICGqBkTi4mEDNl5hwUTPPEPzl7+MaLVydskSmsvLAbi4eDEXpUbepc3NCKdOIVRWUlNTo0ldn5aKRouCaM8z3ve/n0bpu5ZP/7P7+6k7dYq6hx4iePfdtLW1hdWPDQwMcObMGc6cOQMQk2Aieb1aU1MTl3hkNPTm+Fe+SRUvcZ5ZWVmTFo/K8d1hxaMAgQDetDS8aWmkDw1pVjw6h8Sh2N1pw8O0S5vFdz/7LDl9fUqTblEQ8GZkcOnSJS5dugSMxarLTlmWBk2EZyL5vi4uLjYmEie3g4CIq7KUlJTwWHVVHzhRFBUcS77nMjIywvArLd3Lrq4uurq6DIfERWM8JiUlKYsSiBxMJONX6mAi+bpcNZhIQuLsUg2tVSPcSY8TGRmJ0wpRna6mFUwEJH/1q9Q4nXTl5wNgMRASpzWiGk0llJdT3tREeVMTwykpNJeXUyuKlDc1IQoCzWZzKJioq4tDP/85iYmJYX3hzGZzTPrCyVIjcVpQLXrNM44f/pCgy0Vhezu5vb2hP1fNMyagpKSEkpISNmzYgN/vD5ExUr1lQ0PDpMFEVquVioqKqBj68bJe1VNzG7DrVHIPCYgfJA4mLx61PfUUdnXxaEIC/3fPPZik2iTBZnvTFY/qgcR5MzJIGR6moqGBxECA+mPHqD9+nGBlJc0HD2KTFjIRY9VLS8PSr/RyLw2ZEufz4ZKQOOs3vjFlJA5CDdHr6uqoq6sjGAxOcC8HBwcnuJdq/Go27qUaiZuQbjYD6YXE6XFKoFkwkWSLN/t8DH7yk6HxuG2bNsclvPlOZCYNJjp0KBRMlJXFlfnzld9/detWmsrLlYCCHAMgcVohqqAPEif3Iq07eZKVUl/RgcxM7GvWYPvCFxDtdnp7e3E4HDgcDnbv3k1aWtqEZGU91dLSwuDgoCZInF7zDIBYUgIuF8KKFfDMM9e8qImJidTU1FAjYYvqYCJRFOns7AwLJkpJSaG2tlZ5lhUVFc3a5PL5fDgcDiB+niN6KP5WsnPSRC6XC7/fT3Z2NoVynU8cSl08euPevfziXe/i4uLFVLjdjKSmTigeTX7sMWpqapTBHxarHiMNDg7SJFn2RkIVbN/9LiAhOCokDsD0xBOYKysxV1ZOjFUXRZqbm2lpaaGlpYXXXntNV/fSiEhcGKI6QyQOQgZGJPdSvi5q9/LIkSOKeymPlynHqkurMvvRowAIc0jcNTWjYCKfD+G736W6uRlx/XpAGo8ej4a2eHTx63jbgI2XEkx0/jzBf/s3WktKOLJ2LUfWrg1FdGdkcHrFCk6vWAFA0aFDCF6vgl9pYTxopesFicNkInNwkGWf+xzL3v52gsEgnZ2dyimMbGCcP3+e81JQit7BRFqmGus1z4BqPG7ZAqrau6lqsmAi2VgaHBwMI2Oys7PDrstMgonCUlRLSqb9eqNqbgN2nUp9dK7VBiXaTlmgsVEpHr31r3+lyuOhNzsb0WrFvmyZUjwqx6q/+OKLSqy6vMCMBQIjH52XlJRokoqmF6pgnyISB+Ni1Qk1hVTjVz09PVd1L/Pz8zW5D2UkLiEhQXHsZiMjI3EQ7l5u375dcS/l66KOVZf7wl0zVl1alQUbGhC/8hXIyED4ylfg7/7OECEFakRV65TCqWrKwUTAwQ98gESfj5SREQAK2tsJAAmgnS1OdE5ktEZUoyqzGRNQ2tpKmnQavez0aeqPHQsFFAgCjeXltI+M0H74sBKrru4LFy38aioKBoPKvW1EJK6orY2cvr7Qn4+bZ0wmE4WFhRQWFipkTGNjo7Ihc7vdE4KJysvLlXm/qqpKczJGS2NBr3kmGojq+GCi5ubmsH59fX19nDx5kpPSyWZJSYkyXmpqaq4eTCQtKm2nTwMhoy/WhrqemtuAXacyolPW/NnP4s3IIHVoiArJwc7p72flyZOs/MY3lOJR+Wg8LFZdGsBFRUVh+JUe7qWW37VeqMLo6ChOrxcA4aGHpoXEQSg1admyZSxbtkxxL8fjV9FwL42OxEW7RcF497KnpyesfuyaseovvqisyprN5jFE9cSJuZCCWShiMNHzzyM++yw2q5W+nBy80gLytU2bOLlqFRa7PYTFvfAC+VL7gniT1uMR9EHi5KCneTYbtQ4HtQ4HO/bswSsIOJ57Dpt0CtPZ2Ynb7cbtdrN3714Fv4pFMFFzczODg4OapBrricTZiotDSNzKlVNC4gAl0KayspJt27ZFDCZqbGyksbFRCSZSkzGzjVX3+XxKCYcWzxG95xktUxvVMplMmM1mzGbzpMFEra2ttLa28tprr4UIJxUZExZMpFpUih//OFRUIPzwh6GbT4NTfyNobgN2HWpwcJDm5mZAm4eHXk6ZrbUVWlqodThIkJG4SYpHN27ciN/vn9AUsr29nfb2dqV4VE4li5Z7qXWhrp5InIyozgaJg3D3cu3atYp7qcavZh2rLq3KRBmJ08jd0wOJUyOqem8KcnNzWbVqFatWrVJi1dV94SbEqnd1Idx6K4LNRqO0GrDY7aFGxgYIKYD43ICNV1ZWFssDAZY/9xxB4MTKlfz+7W8naXSUhEAAb0YG55Yu5dzSpXD4MPmXL4cZGGGx6jGU1t+1Hkbf4Ac+EBGJA0h/7DEWL13KYqmuT41fiaKI1+uNWTDRdYHESXV509VUgonkWPWXXnpJCSaadqy6NM+4bbaxFNXi4hl9ZrX0mGdA/2ffVIKJnE4nTqeTPXv2KMFEQm8vwte+RkFHB0NpaWPj8ehRTdHreNfcBuw6lDwIS0tLZz0h6OmU2aVTEeGOO+Btb5tS8WhtbS21tbXs2LEDr9cb5pJdzb0UBEGT4tGuri66u7sNi8RpiajKUruXW7duZWRkBKfTqVyX1tbW6cWqS6uyQEMDdhmJ+/KX4etfNxQSpxWiOlOpY9VvuOEGfD4fbrdbOVFuamqiLT+ftg0beH3DBuXL8Cck4K6spKKxkYQ479ujNaIaVUkbXBPQIaWRLj17ljt//3saKyqURFJPbS1dXV0cPXqUo5IBocSqC0JU8KupyLBIXE8PuFwUt7aSPQkSJysSfiVjcU6nc0IwkYxfWa1WqqurZ90XTi0jInHRQlSjEkykPpHZuRO2bEE4fjzUo9QA84zW43EmUgcTBYPB8L5w6mAigM9+ltzubgo6O8FkCiGqvb3aLirjXHMbsOtQWuJOejllcsgDgHDrrTCDXlrp6eksXryYxVKPkWu5l+ri0Zm6l/J3XVVVpclke70hcRByL+fPn898KXmsr68vzCVTu5kQeojLjrL10iVy3/veEBJXXj6GqBoQidPju56OkpKSlJh0gMGnn8b+zW+G6mGsVrqlmO4rCxZwZcECUoeGqHU4EM6fR1i2LG76wqlldCROEEUSAwGq3G6qPB5uFEWGL1zAoTrpb29vV/Cr/fv3K/iVvPDXK5ioqakJr9dLSkoK5ZKDPVPpisQVFYWQuFWrpozEQTh+NVkwkRq/koOJ5IX/bIKJZNQLjInEaTkex2umwUTyvF9ZWUnic8+F7f6V8XjmTOgeMcA8oyWiqoVMJlPkYKKXXkLcswdXdTU9eXn05OUBjNWia3n8Guea24BdZ9IaidPLKZORuJycHM1SG69WPOp0OjUpHjUqEqclojpdZWdns2LFClasWEEwGKS9vV1xlWX38uzZs5w9exaAgs98BsFmY1iawBVE1QBInNbjMZrKqKxk6blzLD13Dpsg8PQHP0iq14tgt2O3WBhKT+fiokVcbG2FH/5Qwa/kHyVWPYYyKhLXJOOe45A4nniC1IyMyLHq0s/AwICCX+kZTKQ2FoyExCn9hrZuBQlpm4mmE0y0Z8+emQcT+f24/vCHUIpqSgpFkjEyG+mFxMWit9N0gon27dsXCiay2RDWr0ew2cjq75+IqMb5PAPaIqrRkBJMlJLCliefZCQ5GVdNDb++5x6G09PHvmtZs11UGkBzG7DrTJ2dnfT09CjNKWcrvZwyuQt6tBoZjy8eHR0dDasfm0nxaKChAftXvwrp6QgPPAB///eGQBXkB3VJSUnMminLMplMFBcXU1xcrLiXDQ0NoQ3ZiRN4urvpLCykU7UpbyktZff27VhFkUqPh8Q4R+K0RFRB3xOZxRcucNdzzxEwmWgqL0dcuRLxHe/A7fFE7Aunxq/06gsnKxAIaLrg0y2NtLsb3G5KWlrI7u8P/flVbHElVn3lSoLBIK2trWHG0vhgosLCQuW6aBlMpOXJrt5IXDQQ1agEE0lzjbhoEWzejHD4MCaLZdYOgF5IXDzUY04pmKi6msvSeinN6wWTiWy5ibHGJzLRmGcgfkmLCZIWiymjoxS2tzOcno4pEKBW6gM2/veuZ81twK4XyScy0sO9qrJSEyTuei0eTU5Ojlg8KtfD9PT0hBWPpqWlherHenux/u3fkt/ZSVNFBUPp6aQODVF+8qThkLh4DCmQjYPq6mq2Nzcz9LWv4ait5cq8eRxdswZMJrrz83l12zZe3baN5JERao8cwZKaitVqjRyrHkNpjajqcSLDO96BKLn68olMAlDR2EjF97/Pll27lEbv6lh1+efQoUPKdZRPYcrKyqLWF05Wc3MzXq+X1NRUY6XEFRWB242wevW0kDgIGRilpaWUlpayceNGfD5fGH7V2Nio4FfqYCL5usw0mEiNjGtxsqu30RdNJA40Cib6/e8VB0C8/XZAOpHRyAGI9jyjRlTjAYmTNSGY6Gc/Q/zJTxAFAWdNDUNSwE1fTg7f+dKXKG5tDaWRXr5M7Q03aFrXp5Xk5zFoS1pExeyLYPRVejykSm04NFtUGkBzG7DrQeri0Xe9CxYvRvj1ryEnxxAnMgMDA7S0tACx2xRMq3j0c58jt7ubjIEBAKpcrjkkLhoym0kbHmbRxYsk+3wcXbuWrN5eduzejWi1IgoCg5mZXB4Y4PILLwARYtVjGHoB2m529TqRGfjFL2iWjBwFCxm3KktOTp4Yq67Cr3p7e5WGqrt37yY9PX0CfqW15MV1bW3trDd7eiFxYacE27aBVCc5UyUlJU05mGjfvn0zCyaSkDi/309OaiqFUg3HbHQ9I3Eww2AihwPhhhso93gURFUQRU0dAD2QOC0Q1WjJZDJRZrFQdvAgNxw8iC8pie997nP05+RQ0NFBZ0EBbSUltJWU8HpjIwnf+taEZOVoG0tTkdvtHks1nkH9fCRFzeyLYPQp9V9aLSoNorkNmNGlWpUFEhKwS8fPggFDCkpLS+OijmSy4lHbSy9hj1A8emXBAv7zE59AsNmwiiJVr7xC8s6ds/4c0UAVtEZUZUXbKbOp+vasOnGCVSdOEDSZaFmxAvGHP0SUUskmxKoXF4fV9enRF06WlkicrmmkS5bA+fOUZmaS9f/+35QuaFZWFsuXL2f58uUEg0E6OjrCDAyv18u5c+c4d+4cAPn5+copjFax6lourvVE4np6eqKW2qh5MJGMxC1eDJs2Ibz2mmGQuEAgEDen/1MKJqqsRKysVF6TOjTEpfnzEUSRvJ4ezbC4Nz0Sp5pn+rKz6c/JIcHv52/+8z/xJyZiFwTE5csRN2ygu7sbl8uFy+XilVdeUWLV5WdZQUFBTAgM9X2txX8/6mbfrl0Ef/Ur7EeOAGCdxOi73jW3ATOyxq3KGs1mhtPSSPN6MUuNjOP9RAbiG4mD8OLRrVLxqM1q5VfvfCdByf1qNptpNps5uHkzSQcOUN3YOHmsegylNRIH+jhldjmVSuWUmYCyhx6ibNMmbpCaQo7vC9fW1kZbWxuvv/664kLr5V42NTUxNDREamrqrFPiYtG3x7J8Odx667RfbzKZKCoqoqioiHXr1hEIBGhoaFCui8fjUWpxZPxqtrHqYSmqBkyJ03I8Xk2zCiY6eZKUd74zhMS99a2AsZC45uZmZTzGExIHEYKJnnwS8T/+A1EQuDJvHoHERIbT0vjDXXcBUNDRgWCzIVy6hGXDhqg03Z2NtEZUZUXF6FOfyIxH4kymUDDRP/0T7NpFV1eXEhgliuIYGXPhAhDCG9XGkl6GspZrKL3MvqaNG/GeOUNKYiLl//qvUF6uYUGzMTS3ATOyxq3K5OPcgs5OBjIzQwXdcV48Gi+FulOSqng02ecjmJBAbnc39/3kJ9gtFgWL68vJCYtVT09PD3OV8zRAdmYqrV1JPZyyMCROOuWItCpTx6rv3LkTr9cb5ip3dXVNcC/V+JXWserq73q2Gz29TmSigajKgTZVVVVs27aN4eFhnE6nspBpa2ubNFZdEARKS0uvfl0MjMTF8tk3WTCRfF0mBBP5/VR96ENUut00q1MbDYLEaYmoRlMmk4ni2lqKX3+dda+/zvc+/3l68vNZduoUPXl5eCorlWCiI01NmB57TDEwrFZrKFY9xotYOdU4Oztbs1TjqNa/Srt/8bnngMnR6/z8fNasWRMeq66q6+vp6QkLJiorK1M2ZNEKJhocHKRJevAbqfWQMj/Om0fiu9898zcysOY2YEbWuNWW7N40VlTwnS9/mZKWFiyiiPXyZWritHi0o6OD3t5eJTpWK+mFxAmiSHZ/PytOn2bFmTMEKytpf+MNRKnuwuFw4PV6w2PVCwrC0q/0ci/VSJwWi2u9nDJx8WIFicucIhIHoY3vkiVLWLJkCUBYXZ/sXl68eJGLFy8CaB6rruXiWq8TmWghqmqlpqayYMECFkgR4HK9mHxd+vv7lVh1CKXLqevHcnNzx95MWpXZDIrExaomKZIiBRMp4+XcOXqGh3HW1uKUWm6YAgGev+OO0EmMKFLgdmMyABKn5Xcd7UTSrsFBevLzSfD7ufOPfyRlZISh1FQcFksIi9u6lY6ODhoaGmhoaODVV18NxarX1ioL/1gEE6lNHEMgcUDg7W9HvHwZhoYQPvhBePjhq15QhYypqGDLli0Rg4mam5tpbm4OCyZSkzFaGAHyM6SkpESTmme9zD7DIKpR1NwGzMhSrbZGUlJwV1UBUNLSQmtJCa2lpbSWlirFo5PGqsdQ8iDU0h2KFRIHYHriCYpLSykuLWX9+vVKrLoav+rs7KSzs1NpCqnGryorK6eNX01VjY2NDA8Pk5aWhlmDiFe9nTJhxQq45ZYZv09+fj719fXU19cTCATC8CuXyzVprLpcPzbl+9PvZ+SVV3BJsbpa9IjT+0RGLyQOQhvfuro66urqCAaDtLW1KWmkcqz6mTNnOHPmDDAWqy60tlL7qU+RNjSEeMcdgDQeDYLEaYmoRkMZGRljser9/XR99rPYBIEDmzfTk5dHMCGBC4sXc0GqL8vt7kY4fhyhqAhBECLHqsdI8ukeaHeyq0ciqfjNbwJQ5XaTIqXEpY2MsOjiRRb9y7/Arl1KrLpsYgwMDHD58mUuX74MxCaYyIhIXBii+uEPwzTXR9MJJnr55Zc1CyZSt/DRQnqYfdFCVI2muQ2YkaValTlraggkJpLX1cUnf/xjvBkZISxu+XLE9evpHherLhePyoM/1sWjRkLi+p99lhaJ+bZcBYmD8Fj1G2+8keHh4bBUsvb29gnupRq/Kikp0ey6aInEgT5OWbQQ1YSEBMrLyykvL2fz5s3KhCDjV83NzRNi1WUD46qx6tKqzJWWRuD97ye3u5uC1asNcSIDsa/HNJlMlJSUUFJSwsaNG/H7/RPq+pRYdcD01a9ibmqipawMgBqn03BInFbjMZoylZdT0NlJfmcnBzZvBuDWP/+ZkZQURKsVd1UVPXl5HO/t5fhvfgOE8Ct1rLrefeHUcjqdIUQ1J4eCgoJZv59eiaSi0wm9veFNasfNNRNi1Vtawur69A4mGhgYoLm5GTAWEqc1onq1YCKZjBkfTKQmY64ZTOT3E9y3D1Hq96eF0Qf6mH0yopqTk6MZompEzW3AjKwIxaOCKGICMrxepXg0ePfdk8eqq4pH1YNfj+LRQCCAQzolMBISZ1+yBC5coCwri8yf/GRaq7LU1FQWLlzIwoULgRB+pcbiBgYGuHLlCleuXAFC+JXavczJyZnx59Z6ca2HU9bZ2RkVRHW8kpOTsVqtyn04MDAQdl16e3txOBw4HI6wWHUZ88nPzw9bldmkkzpBFDEZ5EQm3pA4CBkY6lj1oaGhkKu8fz/i6dN0FhbSqApU+OFnPkOtwxFCr0WRon37MG3fPsvPEB0kLhrfdbSRuE6vl568PBJ9PlYfO0bK6ChbX32VkZQUnPX1iA89hGi309raquBXBw8eVMavui+cnoaflilxes0zgUAAu3TqJXzpS/DJT17zoppMJsrKyigrK+OGG26ISTCRfF+XlpZOTNGcgfRC4qL57JtqMNHRo0c5evQocI1gIsno6xocpOdznyPB76fmLW+Bxx83ROshrVMbjaq5DZjRJReP7t0LRC4eNUHEWHU1ftXT08Px48c5fvw4oI972dDQoCBxZZKDPRvFBIm7+eaZvxEh/GrlypWsXLmSYDBIa2trmEs2MDDA6dOnOS25XEUS3iMIArW1tVNzLyUkzi01ahQ02sjo4ZTJrmRVVZWuDnpmZmaYe9nZ2amcjkWMVc/Lw3LoENbFi7HY7WOIqoFCCrRGVKOhtLS0UKz6iRPwgx/QnZvLb3ftwl1TQ9LoKCOpqVxauJBLksGRfeAAQk+PYizFui+crJGREU1TG0EnJO5f/xWQkLjR0dDfmUykjI4y/8tfZv5b3gKE8Cu1gdHX16f8bxm/0jOYSEvzSa95JgxRveOOaSNxEJtgIq2pFr2ROD3Mp1kFE9ntlH7gA5iCQWxr1gDSeHQ6Ddd6KF6MvlhpbgN2Haj/lltolRbolr/927FV7xSLR+XFgDz41cWjsnupLh41m82auBbqQWgkJE5r5lqWyWSitLSU0tJSNm7ciM/nw+PxKNelsbGR9vZ22tvbOXz4sHIdZSyuvLx8YvqVtCpzpqcTeN/7yOvqIl8DJA70d8piJZPJRGFhIYWFhZO7l93ddC1ezLHFi8c2XECiz4cvMZEkv99QfXviHYmTV1u5PT1KP753/uIXZA0MKGmkrupq+mBCrLp8ClNTUxOzYCKn00kgECA3N/e6Q+IghF+Fxaq3t0/AryYLJqqtrdWkL5ys/v5+WlpaAGP1iIvGeLxaMJFsLM04mGgcEmfVaAOmh9GnRlRjgcRNO5joS19CEEXapc+qtdEH0TP7tEZUjay5Ddh1IPlBbTabyXj/+6f9+pSUlEmLR202m9IkUl08KjvKVqt1xu6lEZG4jo4O+vr6opoSJyspKUnBr4CI7qXb7cbtdrN3715SUlLCsLjCvXsx3XtvqG+P1M9JSyQOouuUaY2oaqXx7uXIyAiOJ59E/O1vEQWBtpIS5Xf/993vJml0lBqnE0EUQ+7ltm1xiV0YMSWuY2iI3txcEn0+al0ukkdHMTc3s+ngQUZranC/8AKilEymjlWX8atYBRMZFokbHgZA+PKX4VOfmtJFNZlMFBcXU1xcHJNgIhktKysr0wSt17tHXDTNJ82CiSSjr1NC4hJ9PqpvvXUOiZuhJgsmsh85gqO5mYGsLE6vWKH8/rHVq+nPzEQQRSwOB6lx3HpIa0TVyJrbgF0H0vpBHal4dDx+pXYvZ1I8OrxnDx75yN+ASFwsisoncy/lTdkE97K/H+Ftb0MQRa5Im2sjOWVaI6rRUkpKCgvmz2fBX/4CwK/vuYezy5dT3NqKNz2d/uxsbPPmYZs3D1wuMv7t38Jc5bBY9RhpZGRESYkzFBL3rW8BUC1tvgBlVZb8+OMI8+cjzJ8PhGLV7Xa7krDYE8NgIiMicWGI6gyROJg8mEieYzQLJpJ2/6KE1VsMFFIQDUT1WposmEjekE0aTOT1IjzyCObGRsQ5JE5zhQUTORz4v/hF3JWVnKyr48Tq1RAM0pOXxxvr1/PG+vWYAgEqX38dSzCI1WqloqIi5n3h1Irn71pvzW3ADK5oNzJWF49O5l6qi0dl91I+hZngXo5D4vI7O8lftcowSFw8hRSo3ctgMBhe1+dw0JuVxYlVqzixalXoBcEgjpoaUoeHqXE6SY7zJt1aI6oQ/ROZYEMDLslQuPUvf0EQRdqKi0NY3JIlOKxWBgcHI8eqS/iVXn3h1JKRuLy8vBnHIaulNxJnuQYSB6FY9aVLl7J06VKCwWDMgon6+/tpbW0FtEFwjIzEwcRgop6enrCT/hkFE0nzTNDjQfziFyE3F+s//AMMDBhinnG5XJoiqjNRpGAitYGhBBMBuz/+cdK8XsUEMTc2GsboGxgY0BRRjarMZhL9fmqdTlwSgTP/0iVWHT+OKAiIViudhYW4h4Zw79vHvn37SElJCavrKyoqitkpX7TXq0bT3AbM4Gpvb6evr4+kpKSoI3EwvVj1/fv3h7uXokiJVDwqSsXaFlHUdFUWTafM7/fH1QZMLXnjq7iXP/85roceQrRaObt0aahOxmTiyLp1HFm3jkSfjyq3G+HMGYT58zGbzXFX9xONFgXRPpHp+MQn6MvJCSE4LhcmoKS9nZL2djZ85Sv477oLj8ejjJeGhoaxWPU33sBkMil1fTJ+pYd7aVQkziEhcdavfhU+/ekpr8pMJlPEYCL5FCaawUTydz2HxEVWbm7uhGAi+bpMKZjo+eeV3X9HYaGCqFYfO2aIeQbCezvFAxIHoY2v0hdODib6y1+w/+EP2C0WhtLTGZLol0ObNnF+yRIEmw2rKGLZvZv0WQZWQXSNvtLSUs1MlmgbfTQ0IEob4/lXrrD4wgUWX7gAJhPdixYhPvUUosOB3W5ncHCQS5cucenSJQCys7PDDAw9McDOzk56enp0KeEwguY2YAaXupFxtBr4Xk3TjlWXikcdEg5iNRgSNzIyQnp6etymxMlKrqjAKkVxD2RmcnLlShZcuEDm4CCiINCTl4fDYsHR0cHun/yEtLS0CfhVLDU8PIxHWtloUf+l14mMrb0dmppCSJzPF/pz1aosEaipqaGmpobt27czNDQUhl91dHTg8XjweDyKe6nGr4qLi6OyIDMiEheGqL71rTNG4iA8mGjr1q1hwUSiKEaMVZ92MNE4JE4wUEhBNBDVqUgdTDRZrPqEYKLGRoStWxFEkUapwbWCqBpgnoH4Ii0iSQkmSkhg3S9/SSAhgeMrV/LHt70Nk9+PCejOz+fYmjUcW7MGDh6k3OFQyJgJseoxlNbGgh5G38h73oO7qgqQms+Dcvya98gjrF6zhtVr1hAMBifU9fX19U0IJlLX9UUzmEj+rquqqmIWgBRPmvYI2LdvH9/+9rc5evQoTU1N/O53v+Ptb3/7pL//29/+lh//+MecOHGC4eFhli5dysMPP8ytUiiA/DuPPvooV65cYXR0lPnz5/OlL32JD3zgA8rvPPzww/zjP/5j2HuXlpYqaSoAH/7wh3nyySfDfmf9+vW89tpr0/1nGkbxdpw7aaz6kSM4IxSPvrxzJ86aGgRRpDbOi0ejUairBxIn94hb//rrCHY7QaCzsBCxvh7xIx/B7nAwNDTE+fPnOX/+PAB5eXlh+FVGRoYGH2rqkpG4/Pz8WSNxep3IAIjZ2dDUhLBzJ7zlLde8qGlpaSxatIhFixYBIfxKbWAMDg5y+fJlLl++DIy5l/JmWYtY9b6+PkMjcVoiqrIiBRONj1WfVjCRGol74AHIyUF46CHo7zcEEqc1ojpTTSVW3V1WhrusjL3bt5Pg9wOQPDpKe1ERhe3tmOIcvVanNsZ9SpxkRCYEAgxIJymLLl7k7f/3fzhqahQsrq2kRIlVP3DgQHisuiBQWloak5M+rZE4vYw+5//3/xFwOMjt7qagszP05xGOX00mE2azGbPZzKZNm/D5fGF1fepgotdeey3qwUTxtl6Ntaa9ARsYGKCuro6PfOQj3HPPPdf8/X379nHzzTfz6KOPkpeXx09/+lPuvPNOXn/9dVZJtSkFBQV8/etfZ9GiRaSkpPDHP/6Rj3zkI5SUlIRt1JYuXcpLL72k/P9IaM5b3vIWfvrTnyr//3reZfv9fiUlLh5v6LBYdYcD3xe/iKeykkMbN3Jp0SIIBuksLORwYSGHVcWjAihNIeOxeNRISFz7Jz9JX04OSaOjVEsOtslkorCzk8JPfIK1u3YRCARobGxUHsput5vu7m6OHTvGsWPHgFDCphq/irZ7qeV3rdeJTNh4vOkmkNz36Sg3N5dVq1axatUqgsEgLS0tyumY0+mc4F4WFxeH4Vczed7JbrvZbNZko329IXEw/Vh1OZjIarVSe+YM6e96FwSDtBcVjSGqc0jcrDUhmOippxC/9z1EqxW7xYJXup/l3nA5PT2hNNKLF7GsWROXKWxaI6qgExKn6n2YMjLCgsuXWXDlClRW0nfqlJJGGilWPSMjIybBRB0dHfT29iqNwmcjXY2+sjJwOBAWLcL0zDNTvqhJSUnKdwxjwUTydenu7o5aMFEgEIj7k129Ne1V1G233cZtt9025d9/4oknwv7/o48+ynPPPccf/vAHZQN247hVz+c//3mefPJJ9u/fH7YBS0pKumYaWmpqalwnpmkpGYnLyMiI/3+z2UySVDx6fPVqADa89hrVLlfIJROEseLRvXuVWPV4KR41KhInqpC4pAhIHITwq8rKSiorKxX8St0UsrW1laamJpqamhT3Uo1flZWVaX5d5EWIFt+1XicyWiOqJpOJsrIyysrKJnUv29raaGtrC4tVl09hruleGhiJU49HvSfzqcSqhwUTBQKU33cfFlFkWNogzyFx0VF+dTX1x45Rf+wYzqoqfnbffSSNjFDp8eCurqY3NzcUTNTcDI8/TmlpaVhfOL2TbSNJ6+861kgcTzxBdl4edXl5YbHqagMjVsFE6hKO2V57vYw+UJlPmzbBsmUzfp/ZBBMJgjB1w87vp/H550PIeFISZlWrljezdIdwA4EAfX19k9aYBINBdu/ezcWLF/mWFDEs6/Lly5SXl5Oamsr69et59NFHJzykXnnlFUpKSsjLy2Pbtm38y7/8CyWTXOzh4WGGpSJuCNUvGUmye2SxWAyJxC24dAmL3c7i8+cnFI/KserxUjzqcDgIBoPk5+fPuO+ZrJggcTfdBLfdNqWLmpKSwvz585kvxXfLuJXcF06NY8GYeykvZGbrXvb19dHW1gag9ECbjfQ+kdFyPKo1HffylVdeubp7GQmJ+/u/h74+QyFxWiCqs9VVg4nOnKF9cJCGykoaKiuV1/Tm5HBo48ZQMJHbjSmOkTitEVXQ50TGIc8zly9z769+xWhyMq7qasS6OsSbb6ZZilRvaWnhtddeG4tVV9X16R1MFAwGw04bZyvdkLj//E8CTid5XV3kd3WF/nyS41d1rPqGDRvw+/0xCybSkrTQy+jTOkVVVtSCiaS5RhQE2LEDy6lTJAiCRg6AsaX7Buzxxx9nYGCAd77znWF/3tPTQ0VFBcPDwyQmJvKjH/2Im1WpOevXr+epp55iwYIFtLS08Mgjj3DDDTdw9uxZpXP5bbfdxr333ktNTQ12u51vfOMb7Nixg6NHj5Kamjrhs3zzm9+cUFdmJBnRKWv71Kfoz84maXSUKqnPydWKR6+GX8WieNRIIQVhSNzNN894h5GdnT0Bv1Knko13LwsKCsbwq+m4l/KJjNTHrFwjJE6PExnQn29Xu5cQSpi6lntpsViwdnRg+dznyBwYoL24eAxRNRASpzUOrKXCgom6u+n95CcRBQGbIHBm+XIwmegoKuIFie7I7O9HOHYMQaq7jBirHkNpjajqMc/wjneEIXEAyT5fKJjoscdg167JY9UdDnbv3j0hmCg/Pz/qBEZHRwd9fX2apMTpafTZysrA6URYsmRaSByg4H/jg4nkZ1m0gokCgYAyP2pBWuht9GmJqEbS1YKJ7HY7LS0tE4KJampqFCO2rKwM0+9+pzgA4k03AdJ41NQBMK503YA9++yzPPzwwzz33HMTTqWys7M5ceIE/f39vPzyyzzwwAMIgqDgiWrscfny5WzcuBGr1cqTTz7JAw88AMC73vUu5XeWLVvGmjVrqKmp4fnnn2dXhIv8ta99TXkthE7AqqRj9HjX0NCQoZG4GqeTJKlA+lrFo3JTSLfbrQz+8cWjsnspD36t3UsjI3FaIqpq/Goy97Kzs5POzk6OHDmiuJfqvnAR3UvVqky8+26oq0P485+hqMgQJzJaI6ozUST3Ul3X19PTw4kTJzgB8JWvUNbURJrXC0Cl2x1CVA2CxGk5HqMqs5mc3l5WnjhBQUcHZ1asINXrZeu+fdgFAWdNTSiYqK+P0889B0SIVY9gHuopI4YUDP/yl3gkQ0hB4sbNM5Fi1ccbGHoHE8mnX0ZD4hQzeNMmkAyhmWq6wURZWVlhZMyUgon8fhr++EcFiSsrLp7VZ4br1+iTNVkwkWxi9PX1KddICSY6exbLqlVUud3hiKrWDoBBpdsG7Je//CX33Xcfv/rVr7hJ2gmrlZCQoFzYlStXcv78eb75zW9OqA+TlZmZyfLly5VBGElms5mamppJfyc1NTXmk9tM5XQ6CQaDFBQUzBr50hWJk7BB4ZZb4Pbbp7wqS05OnoBfqR/KPT09inu5Z88exb2UF/6zcS97e3tpb2/HZDIZComLBqI6XtNxL1999VWSk5PD6vqKi4vDXLIgjDnXJ0/Cc88Z4kRGS0RVC6ndyy1btijupbh3L+KRI7SUldGsusFcNTU89cEPhgIKbDbM+/Zh2r591p8jWkicjKhqeQIWFSwuQt+eeTYbNxw6xA2HDuFLSsKzahW2Rx/F7nBMiFU3mUxUVlYq40XvYCItkTg95xlnXR2Bc+fIT0sj/0c/uuYFVWLVCwtZu3atEkwkG356BRNpubjWy+iLBqKq1rWCifr7+zl16hSnTp0CphBMJCNxVits345w8qQmSJweRl88NTIeH0zU0dGhnCYrwUSCwFnV5wxDVLV0AAwqXTZgzz77LB/96Ed59tlneetb3zql1wSDwbD6rPEaHh7m/PnzbLmKndDR0YHb7Y77nk0zkZaceMyQuFmcymRkZIS5l11dXcrgn8y9lDdjU3YvZSROQrjKzWbSpUaTs5FeTlksCudn5F4eP46wYgWCKOJNSxtDVKXURiOdyMR6UpxMinv5xhvwH/9Bf2YmNquV3991F4HERAKJidgFAbsg8PJNN5G+fz+W9vYw/CpeJH/X5eXlmoxHiCIWFwGJs0ifH5MpFEz0t39LrWRKer1epS+cEqvuduN2u2MSTNTe3k5/f78SvDMbxSSkYOlSuOOOab9eHUy0bds2RkZGwoyltrY2zYOJ1POjkZA4rRHVqylSMJFMxkwWTCQbGFarlfLXXyfh3ntDSJxU4qIlEhdto6+9vV0zRFVLmUwmioqKKCoqGgsmevLJUE2/1Ro6/TKZEESRCaNitg6AgTXtDVh/f7/SVBdCg+/EiRMUFBRQXV3N1772NRoaGnjqqaeA0Obrgx/8IN/73vfYsGGD0rcrPT1dObn55je/yZo1a7BarYyMjPCnP/2Jp556ih//+MfKf+fLX/4yd955J9XV1bS2tvLII4/Q29vLhz70IeVzPfzww9xzzz2YzWYcDgd/93d/R1FREXfffffMv6E4lRGdMo/Hw+joKBkZGZSWls7uzVRSF4+q3cvxserq4tFrupdqJG7XLlixAsuf/gSFhYZA4tSIaiw3BZHcS/m6KO7l/PmckgI/Mvv6AChqa8OfkBDC4uK8bw/E/wZMkbTayhoYIL+7m0BiIukDA3zkpz/FLqWR2i0WvKmpnDt3jnPnzgFjseoyfqXVxmcmikbj1KhiceOQOKu8AYuwKktPT2fx4sUsXrwYQEklk8NW9A4mUiNxsz3h0WueAe3vkZSUFBYsWMCCBQsAwnArOVZ9fDCRXD82pWAiCYkbGRkhfQ6Jm7LUfeEgcjCRy+XC5XKFgomGh7G8851UO524pVAcQRQ1PYLVw+jTAlGNphITE6kWBKr37uXGvXv54ac/TXtJyRgOrNZ1eEAyVU37iXrkyBG2q9AUuYbqQx/6ED/72c9oamrCJYcrAP/5n/+Jz+fj/vvv5/7771f+XP59CPUW+/SnP43H4yE9PZ1Fixbx9NNPh9V0eTwe3vOe99De3q7Un7z22mtK74bExEROnz7NU089RXd3N2azme3bt/PLX/5Sk2al8aSenh46OjowmUyaHPnrjcRFu5fMZLHq8kP5mrHqBw9iklwyNRJnPXHCMEicGlGNByQOwt3LG264IeRePvkk4rPPIgoCjeXlDEhjtbm8nMcefJBKjyeExYkiFVu36p5KNhXJiCoYC4mzyain3U5xezvF7e2se+MNAlVVNOzdi83hwG63T4xVl+oz5fFSVVUV9b5wsrRGcPTC4hwrVhCUkLi8KSBxsvLz86mvr6e+vj4smEgURVwuV9SDibQ8Rddrnunt7Y0KoqpWdnY2dXV1V41VV/eFk4OJZAMjLJhoPBJ34gQmi2UOiZuBrhpMdPkyQ8CFxYu5IBkcCX4/+7ZswSqKWESRTI3MPiMZfdFOJO3r6aG9pASCQSzS8wTQzgEwsKY9a954440EI81WkuRNlaxXXnnlmu/5yCOP8Mgjj1z1d37xi19c9e/T09P561//es3/luHl9yP++c8AVGRlkaaBC3I9I3EwMVZd7VaKohjmZgJkeL1Y7rkHQRTJ6e5mICuL5JERKg2ExGmJqEZLSUlJWKxWLC+/zM6XX6Y/M5MnvvAF/MnJ5PT00Jubi6umBldNDa+43aQ+9lgYflVYWBgXTWENi8RJmNP4vj0J3/0uVbW1VNXWKrHq6r5wbW1tNDY20tjYyP79+0lOTg5LvyopKYnadWlra1OQOC0Ck/TC4maLxEHkYCJ1X7jm5mbtgon8fvx79+KQUGFBg9pXvecZLcfj1TSVWPVJg4kaGqj8yEdI9PsRb7kFkBBVgyFxWiCq0VBYMNEzz9D0la8gWq0cWbOG3txcAomJnFi9mhNSb9KypiaEU6cQqqri7pQprITDQMnX4j/9EwDmpiYypNAnzRwAg0v3GPo5zULSaLGvWxdC4v74R/judw3hlA0NDdHQ0ADEflMwvni0vb19zL202RhMT+fssmWcVTU4TB8c5PL8+VgcDtLmkDjtpFqVdRQV4U9OJmNggC888QTdeXmhJt3LliEuXszQ0BAXL17kohRTn5OTE4ZfRTOS92oyIhI39Mtf0jAFJA5CYUVq/Kq3tzcMi5Ox9CtXrvDiiy+SmZkZ1hdOy1h1+buuqanR5NRNLywuGqmNycnJWK1W5T3lWPVrBRNdM1Zdmmc8CQmMfPSjZAwMULZhgyHmGYj9s29awURA8oMPUu1yGRKJ0xJRjbYSysupaGykorGR08uXA7Bl7158ycmIgqAEEzV3dXHw6aeVOit1XV8sCQw51Tg9PV2TXAO9Ekntbjd0dyvtIADtHACDK75HzJzGJI2WMCTOQE6ZnBJXWFg469RGLaWOVV+/fj3+Z56h4WtfCy38BUEpHu3Ny+N/3/1uTIEA5Y2NCKdPI9TWUlVVpWsq2VSkNaIqKyqowiR9e0zBIPnd3dQfO0b93/0dgbe/PawvnMvlore3NxSrfuIEAKWlpWH4lR7upRrB0WJxrRsSt3w5wXPnKEhPJ/fHP57WBc3JyWHlypWsXLmSYDBIa2trWF3fwMAAp0+f5vTp00AoVl3ejM02Vl3rxbUeWJzWKaqTSZNYddWqTJScIUEUMRlknok3JA6uEkx06BCiw8FgZiY2KQEa4L/vu0/BrgVRJDuOkbhoUC16IHFtEhK38bXXSJdOZfqzsrDX1yN+4QuIdju9vb3Y7XbsdrsSqz7ewNBT6vt6toSBXvNMMBjE5vMBIHz60/DRj2p8UY2tuQ2YEaQaLS2lpQxkZZE0MkKlx2M4pyxeJsXJlFheTrXLRbXLxeZXX+VbDz6ILyWFZadP01xWRntxMQ2VlTR0dvLqk08q+JX8UI4mfjVVqZG4KTdBvoaiiipIqzLxpZeAscap6lVZAqF/T3l5OVu2bFHwK7kepqWlRfk5dOiQ4l6qm0JGw71sbW1lYGCA5ORkKiUHezaKCRI3xWTaSDKZTJSWllJaWsrGjRvx+/243W5l4a+OVX/jjTdmHqsuI3FSAJQWSBzog8VFA1G9liaLVR8fTBQWq15WhvDXvyJYLFS7XAqiajHQiYzWiGo0pAQTXbhA8DOfoaW0lD/ddhvumhpMgQD92dmcqqvjVF0dAMWHDiEMDSnGUry0zjE6Elfe2KhsvjCZyBoYYPnnPsfyt79diVVXGxherzemwURaNp/Xa54JS1G9806I81NSvTX3bRhBqtEinxJgMvH8W9+KYLNhsdvnikejEFLgqarCl5JCZn8/u37zG0xAT24uYn099k99CtHhYGBgQMGvYKwppOyUaYlfTVVau5J6oApDt98eQuKCQYQvfAGqq696QSPhV+q6PrV7uXv37qi5l0ZH4rQ2RBITE6mtraW2tpYdO3Yoserydens7Jx+rLqMxCUmMvqRj5AxMEDp+vWarMr0wOK0XDjNVFMKJmpupqmujgN1dSSNjuKT7ufsvj6CJhMmDXPioz3PaDUeoyqzGVMwSFlzM14pvn3Xb35D5uAgNqklRGN5OW0jI7S9/vqEWHXZwIgVFicjcRkZGZTNoqWMLL2QOHEKSJw6Vn3dunUEAgEaGhqU8aJ3MNHw8LCSaqwFaaHXPGMkRDUWmvtGjCDVKJBdSV9yMsdXr+a4AYpHu7u76ezs1BTB0bNvj9K7wmQit7eXVfffz6pduxT8SsbiHA5HxKaQ8imMHu6lYVPi1IjqBz847dfLjdmXL18+wb2Um0KOdy/VfeFm6l5qvbjWA4mLFqIaSeNj1bu7u8M2yteMVX/hhTEkTkrf1RKJg+hicVojqlppfDBRX18f9meeQfzLXxAFgT6VcfTM+99PxsAAFrsdwWZDcLnIi9HnvpYMY/SBYvb19vbSXlyMKRDAarORPjQUSovbvZtBqxX7b3+LKJkYE2LVU1NjFkwkL64tFouhkDhRRuLuvx/uu29KFzUhIYGqqiqqqqrYtm3bNYOJkpKSFDJGi2AieX7Mz8/XJNVYr0TSeMOB401zGzAjSBoFvsREnFLs/lv/8Ac6CguxX6N4VMavYonFyYOwoqJCEyROj5ACfv1rxJdfBiIjcRCOXymx6uPwK7kp5OHDhxX3Ul74R8O9bGlpUZA4I6XEaYmoTtW97OrqUvCr8vLy6bmXfj++vXtxSp/balAkTitEdarKy8tj9erVrF69WolVV9ePTYhV7+xEuOUWBJuNK3Jqo8ZIHEQPi9MaUY2WsrOzWbFwISs++UmCwG937eLMihXkdnXhzchgMDNzLJjIbqfgBz+YPFY9RjIsEvfP/wxISNzQUOjvpPk641vfYuny5SyVQiO6urqURb8oijENJtJyca3XPBOGqM4CiZtKMJHNZsNms80umEja/YvS81DQyDDTY56Jxni83jS3ATOCpNHiTk7Gl5xMVl8f9UePKh3F+7OyENeswf65z2Gz20Nu5rjiUfXg17svlJZInF5Omfe222iUkbgvfvGaSByEN4XcuXMnXq83LJWsq6tLcS/37t0bFfdSnhRra2s1CQfRC1WIZouCydxL+bpczb0UBIHS0tLw6yIjcUlJjH74w2T291NiQCQu1pOiOlZ906ZNjI6O4na7lQVmU1MTrQUFtG7cyGsbNypfRnthIZ6KCsobG0mI80TSaCBx0T6RMTU00FReDsBb/vpX5l+6RENlJTarFXHRIhrKyibEqo83MGIRTOTxeBgdHSUzM5PS0tJZv188IXGy8vPzWbNmTShWPRCgqakprK5Pr2AidaqxkZC4aCGq44OJ2tralPrkSMFEhYWFikE+aTCRavcv3n8/FBdjfewxGB01xDwjj0etENXrUXMbMCNIdsp+9CNAhcSBUjy64rOfZcXddyv4lTz4ZfxK3RRSLh6VB380i0e1RuL0csrkI/+ioiJyZoDEQQi/WrJkCUuWLAFC7uX4ol6t3UujI3HRTImTNd69VPeBG+9eQghvVOrHLl4k973vDSFxO3YAc0icVkpOTlbufYDBp5/G/q//ik0QuLhoEYPSeDi4eTMHN28mzevFYrdjOX8e64oVk8eqx1DRaFEQ7ROZno9+lI6iIkyBALUOB4mBANVuN9VuN9s/8xmGbr99Qqx6Q0MDDQ0NvPrqqyQnJ1NbW6sYfsXFxbpcF8MicaOjAAif/Sx87GNT3lUnJCRQUVFBRUWFEkykNpYiBRNVVVWFkTEzJTDk+bGgoECTVOPrCYlT94WbLJioo6ODjo6OyYOJnntO2f335uQoiGrt0aOGmGdA29TG61VzGzCjaNcuxCtXwOudcvHo+vXr8fv91yweVbuXlZWVmjpDLS0tDA4OkpKSogmCo3fxqJYP6vz8fOrr66mvrycQCIThV7OOVZeROHlxbUAkTitEdbrKzs6mrq6Ouro6xb1U148NDAxw5swZzkh9swrvvx9BFLGpagSNgsTJ4zHekTiAjMpKlp49y9KzZ/mj38/RdeuocTjIGBzEbrEwlJ7O+SVLON/aCj/4Abm5uWEGRoYUbBAr+Xw+TREc3U5kOjuhoYGKhgbSZCRONc+kQeRYdelncHCQy5cvc1lq4iwHE8kURrSCibQ8RdfL6AtDVO+4Y1YpccnJycybN495UqR9f39/GIHR29ur9IVTBxPJG+UpBRPNIXHT1oyCia5cQVi3DsFmwyM9p5XURgPMMxAf4UPxrrkNmEHk9XpplCJTLd/6FnR2Tmm0yPVg1dXV3HjjjQwPD4cN/vb29gnupZax6vJGRiskTi+nLJpIHITcSzlWffPmzUqsunxdmpubJ3UvBUHAbDaPuZeSLe5OSsL34Q+T1ddH8bp1c0jcDKR2Lzds2IDf78fj8YSuy/HjNPT00FFUREdRkfKaw+vW0ZWXhyCKVHo8JBoAidNqPEL0kTgaGnBI98aGQ4dYdPEiAZOJpvJybKtWIe7ahdvjoaenh+PHj3P8+HEAzGazsrisqqrSPZjI4/Hg8/nIzMykpKRkVu+l14kMgJifDw0NWDZtgp07r3lRlVj1VasIBoO0tLSE1fXpEUykRuK0eI4YHYmD0MZX02AiNRL3mc9AURHCv/4rjIwYYp5RI3FaIKoz1ZSCiaqruVRdDUDSyAgAmf399GdlkdXfr1kaKURnntEaUb1eNbcBM4jkDUFxcTE5t9464/dJTU1l4cKFLFy4EBgrHpV/xseqy8Wj8s+0i0ffeAMAi4FOZKKR2ngtRYpVt9vtCko63r1MS0sLYXE9PQh/+7cUdHYi7twJGBeJi4cN2HglJiZSU1NDTU0N25ubGfr613HU1nKkvh6blCDXVF5OU3k5+268kZThYWqOHEFIS8NqtUaOVY+htHYlY4HEASQAFY2NVHz/+2zdtStyrHpTE01NTRw8eDDUh0YKJhIEQZdgIvUp+mz/W3qdyIQhqjt2gBT6NFWZTCbKysooKyubVjDRbGPV7Xb7WIrqHBI3QbMOJjp6lKR3vhOCQXpycpTxaDEQEqfleNRSE4KJfvYzxP/6L0RBwFVdjS8lBYBLixbx+KJFlLS0hJp0X7lCzQ03kCL9fTxJa0T1etXcBswgitaDenzxaGtra5h7Ob54tKioSHkoX6t41NfcjOvBByE5Gevf/A384z8awimTv+vKysqYNb3MzMxk2bJlLFu2jGAwSGdnZ1j92NDQEOfPn+c8wOc+R15XFyPSg1jrBt0QfSROK0Q1qjKbSRsaYtGFC0oiX93x41S7XNgFAVEQGMzM5PLAAJf/+lcgPFbdYrGQnZ0ds4/v8/lwOp2ANq6kXkicTY3EDQ+H/nzcqmx8rHp/f3+YsaSu8wOUYCL5JxrBRFqeout1IqM1ojqdYKIZxarLRp+EbRsJiVOPR73Np2nHqvt81LzvfQiiyIh0UqcgqgaYZyD6VIsWMplMmC0WzAcOsOnAARrKy/nJ3/wNCX4/Ja2tNJeV0VpaSmtpKa81NJDwrW+FkTHl5eUx6wunVjybqvGkuQ2YQaRX8agcq75x40Z8Pt8YfiW5l+3t7bS3t3P48OFrFo+6LBZ8yclk9/ZSdPasYZyyeHt4mEwmCgsLKSwsZO3atQQCARobG7G9/DL2V17BXVVFt4rf/9Ptt3N81SoEmw2rKFK1dy9JUmDEbBQNVEF2JWtqagyFxNmle2PxhQssvHiR1cePEzSZaK6rQ/zBDxDtdlwu18RY9ZKSMPxKT/fS7Xbj8/nIysqiuLh4Vu+lJxJnl5A4YfPmKSFxEMKvVqxYwYoVKwgGg7S3t0/Ar9TBRAUFBZrGqnu9XhobGwFtniN6n8hoiaiqdbVgomnHqquRuM9+FgoLER59FIaHDWH0qVMbZ4uozlaRYtWVjfKFC/QDtnnzsEn1ZQDDKSnKPJNrICQu7nvEqeYZl3QCLYgi7/v5zxnMyMBusWBbsQJx3Tp6enpwOp04nU727NlDWlqaYmDIdX2xOO2L16CneNPcBswAktGAhIQEaqaJhMxGSUlJEYtHZZcsYvHo5csIa9diHRdSYDLIiUy8I3GAgu1UpqSw7Wc/YyQlhVc3b2b/1q0k+nz4k5IULO7Ali0k7d9PTWOjsvCfEKseQ2ntSuqBxHXfdx+dhYVhSBwmEybA/I1vYN68mU2bN+Pz+cLq+pqammhtbaW1tZXXX39dcaH1ci+1TKWKBRInbN8+bSQOQgZGcXExxcXFkwYTaR2rHpaiqkHohB4nMqC/+TTjYKKmJmo+/nGSR0fpzs0dG4/HjhnS6IuX57GsnJycsWCiZ56h7YtfxCad8l+ZPx9MJtpKS/n9XXcBUNjejnDiBEJZGbW1tXHRF04teTxqhahCFOca1e5fVAc9ARleL0vPnWPpP/0TwbvvnpCsPDQ0xIULF7hw4QJATIKJ9E41NrLmNmAGUDwgcTDF4tGaGi5Ji6QEvx+ApNFR+jMzyRoYiPvi0ebmZrxeLykpKVRUVGj75lpLsrtTRkbwSg/W+iNH2Lx/P6IgYBcEbFYr/dnZSqz6Sy+9REZGRthDOVaMttYIjt4pcZUeD6mTIHEQMjDCYtUHB8Pwq+7u7jD3MjU1dSzuXhAoKCjQdGGm5eJabyROS0Q1qsFEkiVu0xiJ0+NEJpZIHEweTCQbfmHBREDigw9S5XaTJoVTlRsMiYt3o0+WqbycktZWSlpbsdjtXFmwgMTRUTa+9hp2i4XG8vJQMFFPD2/88peYTCYqKirCkpVj0RdOLa1TjaM+1+zahe9//xeHnDYpJ1+r5hkToZP7goKCsL5w8nhxuVwTgonKysqU07FoBRPFOtXYSJrbgBlA8fqgjlQ8avuv/8IuCDhravBLrPjRtWs5unZtqHjUZsN65QrVcVo8qnVqI+iDxMlOmVUUye7vp+7UKepOnyZYWUnb4cOI0gLT4XAwODgYHqteWKicjunpXrpcLnw+H9nZ2YZC4sS8vBASt2UL3HTTlC9qRkYGS5cuZenSpQAR6/omcy8tFsuM+sLJUiNxWgRw6IXERQNRHS/NgonUSNznPgcFBQj/8i8wNKTBzj/6JzJaIqpaKFIwkSiKiAcPIl68SG9uLg7VvdxSVsb/vvOdCnqdH8dGn9aIqqxoI3GidC0Eu52dL78MwFBaGvY1axAffBBRImM8Hg8ej4d9+/aRkpISZmDo1RdOLS3XUHrNNZ41a/CdPUtmcjIl3/kOlJdf9YKq+8Jt3bo1YjBRc3Mzzc3NYcFE8tyvVTDRXPz81DW3AYtzBQIBwxWPbj5wgFPLl/O7e+4hY2CAnN5ems3msOLRxMceo6qqShn8YbHqMZQRkbiuj32MroICEvx+alRIHIDpiScoKSujpKxsYqy6KNLQ0KA0hZTxK73cS8MjcTt2gBQVPBNFci/l6+J2uyd1LwVBoLq6emrupbQis1+6BEDxHBJ3TUUKJpJdZbkv3IRgomAQ4d//ndrWVgbz8ugqKNC8cSrodyITb0gchDa+y5cvZ/mZMwS/+106CwuxWa28cMst+JOS8CUnh/rCSfVleQcPIvT1KQZGrPvCqaU1ogqxQeIwmUgbHmbxF7/I4jvuAMLJGLvdPqEvnBxMJJ/2RzuYSOtUY73mGuXUbtEiTDO4gNMJJnr55Zc1CSYKS1Gdq/+6puY2YHEuGYlLTU3VDInT40TGKT3olp86xVv++lcGMjJCSXHLlyOuXUuPKlZdLh5V41exKB4dHR01PhIn9QyZzBYPi1Xfvp2hoaEw/KqjoyPMvUxOTg5LJdPSvdTSKdMLiYsWoqp2L7ds2cLIyEhY/VhLS0uYeyljdOq+cBOui/pE5o47YM0ahFdeCQ16A4QUyDV0ELvJXB1MJMeqezweZUOmBBMBh9/zHhL8fvK6uwEobm0laXQ09EZaHb8SnRMZiF/SYoLMZkxAYUcHI8nJ+JOSSB4e5n0//zmO2lpEqxVPZSXdwLFjx8Ji1dV94bTuuzUdGRWJc14FiZM1gYwZV9c3PpiouLhYweKiEUykNRKn11yjtRkc9WAiv5+WP/85lKKakEDlbPGHN4HmNmBxLnUqlRYnRHqcyKidMqv0+TO9XpadPcuyf/xHgnffPXms+vnzQOghrh78eriXbrcbv99PdnY2RapGuzORrkhcbm4Iidu6FW6+eVq76rS0NBYtWsSiRYuAUAGt2iUb715mZWWFuWQzdS8HBwdpkmYoI6XERQNRjaSUlBTmzZvHPCl1rL+/X6kfs9ls9PX1YbfbsdvtinspGxhWq5W83bvDVmSKc33qFPzmN4YIKVAjqrMdj1pJHUwEIZTM/sc/Ij75JKLVSldBAZ2FhQC0lpXx2IMPYrHbsYgi1r/+lcLbbovL0yXDInHSZ7U4HNS4XNS4XGx79VWGLRaczz+voNfqWPUDBw6QlJQUhsXpHUyk5eJar7nGXV+P7+xZslJSKP7ud6+JxIFExpjNmM1mNm3axOjoaFhfuKamJqUvnDqYSN4oaxFMpPVGRo+5JlrjUdZsg4kqKyvDDQxpYSlWV8Mtt1B74QKJVqtGC8vrV3MbsDiXlq6kXicynT//Od2XLoWQOOlEaXzxaKRYdTV+1d3dHeZems3mMPwqGu6lERunhiGqO3dCVdXM34xQ3dGqVatYtWoVwWCQlpaWsL5w/f39nDp1ilOnTgFj7qXcF25K7qXfj/3550Ovz8ggW4PNtV5IXKxw4KysrBB+tXw5wWCQjo6OMAPD6/Vy7tw5zp07B0B+Tw/C7bcjiCL5XV0TEVWDhRTE46YFpFh1n48l0v3cmZ/Pf3zyk4ymppI6NMRwWhoXFy3i4qJF8MYb5Fy8GGYsZWVlxfhfEJJ8XxcXF2uGhOmCxEknoxYVEgeQ+u1vs2DRIhZIxpIatxJFkf7+fiWYCNA1mMioSJwyHhctwnT33TN6j+Tk5CkHE8l94WYTTBSNVGM95hq5sbiWiOrVNKtgIrudkve/H1MwiCjdYIIoarywvD41twGLY8kpUDD7h4euJzLz58OlS1QVFJDys59dc1WmxKpXVk5aPNrU1ERTU5PiXqrxK62LR42UEhcNRFWWyWSirKyMsrIyBb9yu91h+NV493J8X7gJ7qXslK1aBfX1CC+/DN///qxXZXogcVojqjOVyWSiqKiIoqIi1q1bh9/vD/WFk66Lx+2mKzdXCb+Rv4ys/n6aysupdLtJivM0UjBQMbfK6h5KS2M0NZWU4WG+/NhjtJaWIgoCotWKy2qdPFZdEKipqYlKKtlUZFQkziVhbDJpMdnxa3Z29lisejBIW1tbGH4VKZhIbSxpGUykdaqxXnNNNBBVdTBRMBicVqz6NYOJ/H6a//SnUIpqYqJmSJwec02sceBpBxN96UtY7HbskqEgiKL2C8vrUHMbsDiWy+XC7/eTk5NDoYS1zFR6uWSgenisXg1bt0779eOLR2XcKlLxKIQe4mqXbCbFo4ODgzQ3N4c+t4GQOK0R1aspKSkJi8WiLIgHBweVvnCye+lyuXC5XGHupYyTFLzyCqZ774VgEPGeewBp4aTRqkwPJE4rRFVLJSYmUlVVRVVVVci9fPppHP/8z8rCv11KtOvNzeXJD3+Y5JERapxOLGfPYl28+Oqx6jGS1oiqLL2QuFqHg6RAgPKmJsqbm9nscjH6n/+JS4X5hMWqHzqkXEd1XZ9ewURGROJcq1fjO3uW7JQUip54YkpIHIQMjJKSEkpKSq4ZTPTGG29oHkyk9eL6ekDiIHRdZhqrPiGYaBwSV3P+vKZInJ494uJBkYKJRFFEfOMNHK2tDGRlcWb5cgCy+voobm0NvVDLheV1qLkNWBxLSyROL5csGqmN2dnZVy0eHRwcnHXxqPjHPwJQkplJVnr6rD/z9ZwSJysjI4MlS5awREod6+rqUiZLURQnuJc5/f0Id95JaUsL3fn5Y4iqhquyNzsSB5BaWcnCS5dYeOkSAZOJb3/1qwylp2O9coXmsjIGsrK4Mn8+V9rbefE//mPyWPUYSn6GlJSUGBKJE6Rnt9oST05LmxCrrjaWenp6lGCi3bt3TwgmKigomMWHnFxdXV10dXWRkJBAzQwaXY+X7kjc4sWY3v72Gb/PZMFE8rNMs2Aiv5/gvn2IUp2zoFGTWr2QONAWUb2WIsWqy33hIsWqK8FEg4MI//zPmJuaELdvB6TxqDESF625Rh6P8drIWB1MtNHhwPfAA3iqqnh5xw481dUIosiE0TDbheV1qrkNWBxLy42MXicyTU1NDA0NkZqaSnl5+ezeLIImKx5V8KtrFI9WVVWFu5fjkbgXXwwtpgyCxGmFqGqh/Px81qxZEzlW3emkNyuLE6tXK7+f6PPxyrZtWEWRapeLZI2cMiOlxEX7RKbZbGYoPZ3UoSHe+8wzmAKBEBa3ahXi+96H0+WKHKuuwq9i0fxda/xQDyRuVIXEXS0lTlZmZibLli1j2bJlBIPBmAUTzSFx4YpKMJE0zzT7/Xg/8QlShoep2LpVk+OSNwMSB5GDieSxEhZMBLz8N39D+uAgQ5L5WtzWFhUkLhpzjdbjMaoym0ny+6l1OAhI36fy7Bv3e3OaqLkNWDzK72fg5ZfHkDgNXEm9T2QsFosu+Iy6eFR2L51Op+KSdXR0TCgera2tDWFxdjvF739/CIl7xzsAbYtH9ULitEBUtdb4WPXRn/8c5z/8A6IgcKy+nmGpVubQpk0c2rSJRJ+PapcL4exZhAULKCsri4u+cLK0RlRB3749tQ4HCYEAmEyUtrZS+vGPs3HXLiVWXV5cKrHq7e0cPnwYk8k0oa4vmumPsrTsJaMbErdqFX4Zifve96aMxEHIWIpVMJERkTg1ohrtGsFIwUSy4TelYKI//lHZ/ds2bQJC4zHR49HsRObNhsTBJLHqL7yA+PzzOGpr8aoMiqc/+EHyOzsRbDYEUcSyezfpN98cw08/uQxj9IGysPR2dNAoGe5hGzCtFpbXqeY2YPEmaVVmz8uDd7yD0uZmMpcuNcSJDMT+QZ2WlhZWPCq7lzLqMzAwEO5ePvAAFQ0N9OTlkeDzGQqJ0xJRjbaSKyqYJ01+x6VTsBt376Y7Px9REOjNzcUuCNjb23n5//2/sFh1uS9cLCXf1yUlJZok1+lxIsOvf434l78Ak5/IqGPVd+zYgdfrDUu/6uzsxO1243a72bt3LykpKWH4VVFRkeb3XmdnJ93d3W9aJA4mDyaSF/6aBBP5/QT27cMuIcJGROK0RFSnInUw0aZNm5RedVeLVa9saEDYsgWrKI61g7DZND+RiTYSp9V4jIYUMiYhgfXPPos/IYHn7rqL03V1ZPT3483IoKuggKMFBRxduxbTwYOYHY4wMiaWfeFkBYNBzUs49Gg9ZP/GN8Bkori1ley+vtDfabmwvE4V+ztuTmNSrcps0iJVS3Y52i7ZyMgIbrc79LnjxCmbNFb9yBGcra30Z2eHIqKBQFISP/n4x0M9e0SRGoeD1DhG4qIRiR5tp6wpGFSQuC3795MQCBAEOoqKEFevRvzwh3E4nRNj1fPzw/CrdA3q9KYjLY0FvU5kRu+8E9e5c+D3I3z60/Ctb13zgqanp7N48WIWL14MhCKz1fiV1+vl0qVLXLp0CQjVZ6rxKy02p/J3XVVVpUlTVqMjcXD1YCKbzabgWOpgInmsWK3WibHqMhIXCOD9m78hdWiIii1b5pC4aSopKemaseousxmX2cwrO3YoX8ZgRgYdhYUUdHRgivNEUqMhcQCJgYASPnTLCy+w6OJFHDU1iFYroiDQXlys9IXbv3+/Eqsuj5dYBRM1NTXh9XpJSUnRJNVYr9ZDtoYG6OwMP/3SamF5HWtuAxYvUq3KgjBWzK1xnGc0T2RkJC43NzdqBeOzUVisutOJ74EHcFdV8fwdd9BRVATBIG0lJbSVlHB4wwYS/H4qDx9GMJkmj1WPkQYGBoyDxIGyKhOfeAIAi90eQuKQYtU7Oij6xCdYt2sXgUBgQlPIrq4ujh49ytGjRwEm1PVF073UupeMXicyYYjqBz84tvqdhvLy8li9ejWrV68mGAzS3Nwc1heur6+PkydPclKqfSopKQmLVZ/JBsqISFw0xuPVFCmYSD4dixSrLgcTWa1Wak+fJu1d7woZfZs3AxKiahAkLhq9nbSSOlYdoPPJJxF/8ANEqxWb1cqItIHZd+ON7LvxRnK7u0OG38WLWNauvXqseoxkRCRusLOTJmlAC6JI6vBwKJjo8mWorKT35ElEVasbdaz6iy++GLNgInWq8WxRbz1bD9ml/4jwsY/BBz+o8UW9fjW3AYsXqVZlnYWF9ObmYvL7ye3pCf29hnGeeoQUxDsSJxeP1jid9Euu/fv/538YTk1VXLKuggJcXi+uV15RYtXV+FVhYWHM/p3y6Vdpaakmk7ZeTpkoijAwcFWnLCEhQYlV37ZtG8PDw2F94dra2sLcy6SkpLGmkIJAaWmpptels7OTnp4ezRAcvU5ktEZUTSYTZrMZs9nMpk2bGB0dDesL19TURGtrK62trbz22mvKdZQX/teMVZeRuIsXQ59bI9xJbyRO7+bK6mCiyWLVw4KJAgEqPvpRLKLIZelEzWhInJaIajRVUFNDwdGjrDl6lBduuolDmzdjbmwkdXgYd1UVPXl5nFi9mhPNzfBv/zZ5rHqMFI1UY12QuIceApOJkpYWsvv7Q3+nOn7Nyc9nZX7+xFh1yViKFEwkn45FM5jIiEZfGKJ6xx0Q76ekcaS5DVi8SLXaskmDL5iYyI8+8xkKOjoULK7W40Ff+GrqMqJT1ggMp6WR5vWGTmWCQZacPw8mE12LFiE++SSiw4Hdbsfr9XLx4kUuSgvEnJycMJdMT/dSy8apuiFxo6O4h4YAEB5+GHp6pnRRU1NTWbBgAQsWLABCTSHVmE9/fz82m035TjIzM5X6MavVOmv3UmskTq9E0mggqmolJydPwK/UuGJPTw9OpxOn08mePXuUWHV5IZOfnz+2MZRWZU2BAEMSElc+h8TNSJPFqouiiHjmDB1eL56qKjxVVcprzi1dSiAxEUEUKXa7MRkAidNqPEL05xkaGrBLVMuGQ4dYcfo0I8nJuGpqEOvqEHfupGWyWHVVXZ/eBEZzczNer5fU1FRDIXGixwNdXVimgMSFxapv3KgEE8nGkjqYSO4LF41gIq1TjfVGrw2BqMaZ5jZg8SLVassuDb7c7m56c3LoLCyks7AwVDxqs1H+k5+ENYWMh+LR/v5+WlpaAG2jo6OOxH3vewDK5gtQVmX5jzxC/dq11EupZGr8yuVy0dvby4kTJzhx4gQQOo1S41fRci+NisQ5nc4xRPW222aExEFo41tXV0ddXR3BYJC2trYw/GpgYCAMvyosLAxLJbtmXzhZ0qpMlLBHQaP7Wo8TGb2ROAjhV+pYdbkv3GSx6rm5uaFNcns7ls9+lozBQUTpH22x2+eQOI0UFqve00PPpz6FaLFwqq4Oh3RPO2trcUohHFl9fQjHjiFIdZd6hlxMRVp/13rMM4Mf+ADNKiQOIMXnY57NxrxvfQt27aK/vz+srk+JVbfbefnll2MSTCSbWrW1tbPe/Oll9AWDQUTpP2L9+MfhQx+a1q5aHUwEKMFE8rOsq6srKsFEMjKenZ1NUVHRtF8/XnoZffH87It3xX7lPqeQpFVZoLERuzQpvvN//5fCjo6x4tGFC2nPy5sQq67Gr2JVPCq77WVlZdcdEgchLK68vJzy8nI2b96suFXyhqy5uZmWlhZaWlo4dOgQiYmJCn4lCMK18atpqLOzk97eXsXpnq1iEVKg1T1qMpkoKSmhpKSEjRs3KviVPFk2NjbS0dFBR0eH4l5WVFQop2OTupfSqizQ0ID9wQchLQ3rF78If//3hjqR0QpRna5MJhMFBQUUFBRMGqve09PD8ePHOQ7wla9gbmpiQIqOrnE4DIPEyYiqVuMxqjKbye3pYdWJE7QVF+OwWFh44QLVLheiIOCsqaE/O5tTfX2c+r//A8Jj1WtqamLqcmuNxOk2z3R3g9tNSUsLWQMDoT8fN89kZWWxfPlyli9fTjAYpKOjI6wvXCyCibT8rvVE4hRE9c47YZanpOODibq6usKSlWcdTCQbfVIbA6vFosn8qIfRFwgE5jZgs9DcBixeJK3KGr7wBQWJK2tqIiEYZOHly6Hi0Y99jN6bbgrDfNTFo0DMi0eNhMSNjIzg9noBEP7pn6C7e8qrsuTkZKxWq9KnaGBgQGkIKYoivb29OBwOHA4Hu3fvVvAreeE/G/dSdiWrqqo0OWW7npwyNX61Y8cOhoaGwnDFzs5OPB4PHo+Hffv2RXYvf/c7ZVXWWFGhjEfzyZOGOJGB+HMlJ4tVF/fuRTx2jNbSUppUjdtfuvlmLi9YgCCKCKJI2b59mLZvn/XnmEPixlZlctDT0jNnWH7mDDccPIgvKQn36tWIjzyC6HDQ2Ng4MVZ9HH6lJxbX1NTE0NAQqamplKvul5lIz5ACsagI3G6E+np45plrXlSTyURRURFFRUWsW7dOCSaST/rHBxPJ9ZlaBhMZHYnTcjyqlZ+fT319PfX19UowkTzvu1yu6QUTqY5fxU98AsxmLN/7XugGNIDR19zcrIxHLRDVN5vmNmDxpF27EFtaoLUVQRTHkDjVqiwHWLly5bSKR9X4VTTcSyMjcYFAgLy8PPLf8pYZI3EQ2viq8avOzk5lsoyEX+Xl5YW5lxmqppGTSlqV2Y8cAYyFxEUDUZ2K0tLSJo1Vt9vtDA4OTnQvjx5FWL4ciygqi1QltdEAJzLxjsSBKlb9yBH48Y/pz8ri0IYNHNy8GVMggD8pKXTqL33/GQcOYOnoUMZMXl5ebP8BKqmbz2shPZC4gQ9+kJayMgAE6ZQDk4kkvx/Lgw9iuflmdhLCr2RjyW6309XVhcvlwuVyxSSYSP1dz3bjp9c8ox6P1m3bYN68ab+HOpjoxhtvVIKJ5IV/e3v7pMFEM41VD0tRLSyc9mcer+vJ6JOlDiaajIyZLJhIcLko/9CHSAgEGMjIGENUjx41jNGnJaL6ZtTcBizOJEr1KZa3vx3uvvuqq7LpFI8ePnyYhIQEBb/Ssni0o6NDQeKqq6tn/X56O2UWjY78ZZlMJgoLCyksLFTcy8bGRmWy9Hg8dHd3c+zYMY4dOwaEYtXlcIKI7qWMxDU2Yv/qVyEtDeHzn4dvfMMQTpnWiOpMdbVYdcW9XLCAk1LgR/LICACZ/f2MJCeTMjqqWRopROdERmtENaqSFh1Z/f0EpQm87sQJbjh4UEkjddTWMpiaytmzZzl79iwwFqsuGxhTruvTWGokTj4Nn430RuJKm5vJnASJgxB+tWTJEpYsWQKM4Vfyz9DQkK7BRFourvWaZ9SIqhbzI0QOJlJjcepgInWsujzHXJWMkYw+m4TECQZD4qIdPnQ1TUbGRAwmAtK+8hUsdjupEolT3NJCVn+/IYw+iH7Q0/WuuQ1YHGlkZASPZFNYb7sNpompzaR4VJ1KNlP3UnZBtIrN1dsp02LhdDWp8att27YxMjIylko2Llb9wIEDE2PVDxzAdO+9EAzSUFk5hsSdOmUYpyweT2TGx6r7fD5cTz6J+ItfIAoCTWYzoxIucmTdOo7V11PlditYXPnWrXHp+mmNqIJOSJx0b1hFkeL2dorb21l/+DD+qioaXnlF6dvj8XjCY9VNpgl94bQwlqaixsZGhoeHSUtLwzzLB5KuSFxhYQiJW7NmSkicLDV+JQcTyYZftIOJRkZGNEXi9J5nooXEQWjjOx0yRg4mmhCrrkbiPvlJKCtD+O53IRAwhNGnJaKqhSKRMaIoIh4+jN3jYSg9nfOSuQHQk5vL7++8E6soYrHbyYhjo09rRPXNqLkNWBzJ4XAQCATIz8/XJOFoKsWjk7mXFotlysWjRkXiWltbAX2ROAjhV2r3sq+vL8xVHh+rnuH1IuzahSCKtErpSIIoziFxGispKQnBakV46SUATi9dym/vvZeU4WEyBgfpzs9X0uL2uN2kPvZYWCpZQUFBXPS/M2Lfnv4PfUhB4pToaOm7TPzud6m2WKi2WBT8SjaW7HY77e3tMQsmMjoSJ8wQiYPwYKItW7YoCzLZ8JNDidTBRNXV1YrhN+VYdWmecV25QiAQCKWoFhTM6DOrpcc8A9ojqtfSeDLG7/fjdruV+SVSMFFlZSXC8DDCv/4rFY2NDGVmjiGqBkLitByPWktNxqy9coXA5z5Ho9mMzWrl1a1b8SclMZKWxvH6eo7X10MwiPm117CMjmK1Wqmuro6LxGtZcqqxVojqm1HxczXnFPUH9bWKRyO5l/JkOcG9lFZl/sbGUEpcairCZz8LDz1kCKdM/q7NZvPU6q+iqOzs7Amx6vJk6bDZGExP58zy5ZxZvlx5zUBGBhcWLaLWbictzpE4rRFV0OdEprGyEgiFFNz5hz/QlZ8fwuKWLsW+eDFDQ0NcuHCBCxcuAGOx6rKBEQvU0qhInF1C4sqamsgcHAz9+SSrstTUVBYuXMjChQsB6OnpCcN89AwmMiISpx6PWiKqkfArtbEk9++z2+3s3r17arHqqt2/7ZZb4IYbEA4fDgXlGGCe0Xo8zkSJiYkKGbNjxw6FjFEHE7ndbtzA3o9+lJThYQo6OgAobGsjY2DAEEYfxCdpEVFmMwmBAJUNDaR7vbyyYwcJPh/3/PrXuGtqEAUhFEw0PEzTwYMcPHiQpKSkCX3hYmn4RSPV+M2muQ1YHEkvJA6mVjwqu5evvfZaeKy604lZKh5trKpiJDWV9MHBOSROA6lj1Tds2ID/mWfwfO1riFYrNquVhooKMJlwWiw4LRZMgQAVDQ0Ip08jWCxUVlbqhl9NVfJ3rRWiqseJDO94RxgSZwIKurspOHqUNV/7GoG3v52mpqaw+jElVv34cSBU7yZPllr926+lhoYGBYkrkxzsmSomSNzatbBt27RWZbm5uRPwq/F94SIFE8nG0kyDiUZGRnC73YAxkbho35OZmZmTxqo7HI6Iseqy4WexWEj/85/Ddv9yf0zh9Gn4xS8MMc9oiahqpfFkTHd3N+Kf/4z4298iCgLejAyaJXyvo7iY7z7wgIJdCy+/TNYtt8z6M0TD6NN6PMqKitkXIY202u1myYULLLlwAUwm+ubPx/7LXyJKp/39/f3K+IHQdVQbS3oHE8XrGspImtuAxYn6+vpoa2sDUGq49NRUikeVWHXGikd90pOo1m7HZJC+PUZB4gASy8upcbmocbmo8Hh49n3vI6O/n6XnziEKAh1FRXiqqvB0drLvZz8jOTk5LJWsuLg45u6Ult+1Xicy/c8+S+uFCxAMYpFT4lSrsgSgoqKCiooKtmzZotSnyAv/lpYWmpubaW5u5uDBg8rpn7zwj5Z7qf6uDYnE3XgjzMKAUuNXN9xwAz6fbwJ+NT6YqLKyUln4l5eXT83A8Ptx/uEPoRTVtDTyNThVu16ROJg8Vl2+LnKseldX11gwUVsbwo4dCKJIfkfHREQ1zucZiG8kTlZeXh6rgdW//jVBk4mmsjKe+uAHGU5PJ8Hvpy8nh5MrV3Jy5Uo4dIgSm23yWPUYSk5t1ApRhSiafRGMvvHodfY3v8mKlStZIRlL7e3tYcaS1+uNWTDRwMCAkmoc72uoeNbcBixOJD+oy8vLY47EwfSLRx21tfzhzjsRRBGLKMZ18Wh7ezt9fX3Kkb4W0rNvz6ILF7j9T38CQkW7Yn094ic/iehwMDg4yOXLl7l8+TIQau6pdsmys7M1+FBTl9/v16wmSdcTmcWL4cIFzNnZZPzkJ9e8qCkpKcybN495Uj2N7FbKEd59fX0KfvXyyy8r7qW88NfKvdRycR0LJE6r8SgrKSlJCRrauXOnEqsuL/zVserqYKKrxqpLqzLb0qWwcSOWAwcw/fu/z3pVphcS53A4gNghcRAeq75t2zYlVj0smKi4mMbiYvZv2UKizwdAdm8vfdnZZHi9mOIcvQYDnRJIp3OmYJCUkRGG09NJ9Pl44PHHaTabsQkCdkGgqbx88lh1QaC8vDxmG02tkbiom327dhH41a+wHz0KhEgLIOLxq8lkori4mOLi4hAZ4/crfeFEUaShoUHXYCL5uy4tLY1pqrHRNbcBixPF84N6suLRSwsW8OrWrWAy4c3M5Fh9PcdUxaOCz6fgV/FUPKpGcLT4XLFA4gAwmcjt7WXV/fezatcugsEgLS0tYelX/f39nDp1ilNSpHBxcXFYX7hou5eNjY2MjIyQnp4+awRHrxMZUG1kVqyAm2+e9uuzsrJYsWIFK1asUPArebKM5F7m5+eHpZKlp6dP+78ZlqKqweL6ekPi4Oqx6na7/drBRC+8oKzK7HfeCUjjUaNVWbSROC0RVS01Pla973/+B/HxxxEFAVEQ6JeMo76cHP7zU58is78fi92OcOECwqpV5ObmxvLjR5RhkTjps1a7XKEAKFEM9Yq7eJHBs2exq4JWwmLV9+whLS1NITCsViv5+fm6ERharqH0Mvsa169n+MwZ0pKSMD/2GJSXT+mCymZVdXU127dvZ2hoKKyur6OjI6rBRPG8XjWS4mdV/CaWkZA4dfHoQGYmmEzkdXZy+5//rEyWSvHogQNKrHq8Fo/OVnohcX3PPkubhMTVRkDiILRRLisro6ysLAy/kifLpqYm2traaGtr4/XXX1fwK3myjIZ7KSc5atFrTa8TmbDGqRpsZNT41fr16xX3cjx+dfToUY4ePTrBvaysrLy2UeD34zA4EheLZ9/4YKLxdX0Tgok6OhBuvpmyxkZaS0vHEFUNV2V6hRTEKxIHkF1VRd3Jk9SdPEkAePzLX2YwK4tyj4e2khIGsrJCwUQtLfDEE0qsumwsxaovnFpOpzM0HvPyNEk1Bp2QOLn5/DgkjieeICM7m6VLl7J06VKCwSBdXV0KFme3268aTCQIQtTonv7+fgWJ0+L0Xy+zTzH65s8n4Z3vnPH7pKWlsWjRIhYtWgSEgonUATiDg4PaBBP5/QT37UM8cwYAIQblMteT5jZgcaC2tjb6+/tJSkqiqqpKs/fVyymz2mzMv3yZ+ZcvTygeFUUxLGYdICMjQ8F8rFarru6l3+9XEBxDIXGLFsGFC5Tn5JDxX/81pQuqxq8ABgcHw/Cr7u5uBb965ZVXSE1NDesLp0WsupaR6HqdyEQDUVVL7V6qY9Xl6zLtWHVpVSYuWwYbNiDs3w8GQeK0RFRnK3njW15ePnkwUWEhLTfcoLwmZWSEo/X1CDYb5qYmEjQ6gjUSEhfteaazsJDBrCwSfT4+/LOfkRAM4qmsxLZyJfY77qAhQqx6RUVFmIERi2AioyJxDqkG72pIHITGS0FBAQUFBaxdu5ZAIEBTU5Ni+Lnd7kmDiaxWq6Z9CuVnSFlZmSZInF5mX7TMp9zcXFatWsWqVasikjGTBRPJBkbEYCJpnunweun97GdJ9PmoueUW+M53NHCZ35ya24DFgeRBWFNToxmqp6dTJkyzeHRwcDBmxaMNDQ2MjIyQkZExawQnZkjcTTfN6D0yMjIU9xJQ3EsZv4rkXqpTyaY7sQ0PDytInBYTjN4nMnqhs+Nj1Xt7e8Pcy6vGql+8SM573gPBIOLb3gYYC4nTElHVWhOCif7nf7A/9hiiIHBm2TJGU1IYSU1l986d7N65kzSvN4TFnT+PsGKFZkEAWknr8Qj6zDM2OSXO5SLZ5wOTKRRMJC38ZPxKnmM6OjrweDx4PB727dtHSkoKtbW1yrOsqKhIFwLDiEhcw7p1ChJX9u1vTxmJg1BdnxxMtHXrVkZGRsLq+lpbW8OCibQkY7TeyOhh9kULUR2vyciYaQUTPfecsvsX164FpPHocmmI+rz5NLcBiwNp/fDQwynrffZZ2i9cwBQIREyJkzWT4tGKigpl8GvtXs4hcWPKz89nzZo1rFmzRnEv5Yey7F6q8atpxaqrkLh8jZA4PU5kIPZ8e05OzoRY9au6l5/+NJVuN20lJWOIqkGQOC3HY7SVWVXFsjNnWHrmDJfmz2c0JYV1r79Ob04OdotFCSY639oKP/gBeXl5YcZSrMOVZCQuPz9fEyROj3mGX/8a8Y9/BECQ7pXx88x4/Kq7u1sxlWT86tKlS1y6dAkI9V1UX5doBBP19/fT2toKGBOJExYsIOHee2f+RoSCiebPn8/8+fMBwmLUI5ExM4pVjxISp4fZFw1EdSqaUTDR5csIa9ciiKJiiFhEUXvU502muQ1YjKUlEhd6P32cMnHhwhASl5tL+n//95RXZVMpHpXdSxm/UruXs41VNyISFy1EVS21e7llyxZGR0fD3MurxarL7qVSUzIeiXv1VU2QOIj+iYzW43G2Useqb9y4EZ/Ph8fjCV2XEydo7OmhvbiY9uJi5TW/eM97QoXzNhsVDQ0kxjESFw38MNqJpO3DwwxkZ5M0OsrNL75Iks9HICGBxvJybKtWYb/7btweD93d3Rw7dkyJVTebzWEGht7BRFomZOo1z/jvugvHxYswMoL1vvvgkUeueUHz8vJYvXo1q1evJhgM0tzcHFbX19fXx8mTJzl58iQAJSUlyvyiVay6/F2bzWZNNt5GR+JgYjBRe3v7hL5w0yJjZCRuaIjez3yGRJ+P6ptv1gSJ08Psixfz6WrBRKIoMjQ0xMWaGi7KTdulL0NBVLVEfd5kmtuAxVgej4fR0VEyMjIoLS2d9fvpXjxaVwc7d874faZSPKpJrLrfz9CePXjkI3/5YTIL6Y3EaYmoXkvJyckTYtXVLllvb++EWHWLxYLQ04Pw1a+S39WFeNddgISoaphKEs0TGS0R1WgoKSmJ2tpaamtr2dHSgvfrX8dhsfDSzp10FhWByYS7uhp3dTV7b7yRlOFhao8cQZDcZb3wq6nIUEgcKKsy27e/DYQQnCQpHj0hGKSyoYHK732Pbbt2KfiVfNLf1tZGU1MTTU1NE4KJrFYrpaWlUb8uWp6i6zXPyOMxPT2dsg9/eGz1O0WZTCbMZjNms5lNmzbh8/nC6vqampqUWHU5mEiLWHUjInHRGI+TSU3GTBZMdLVY9cojR0h65zshGMS2bh2gPRIXbbNPNp9i2Q4iktTBRIFAgOYnn0T87/9GFAScNTUEEhNJ83opG7/bn+3u/02ouQ1YjKV1oa4eTlm0kDi4dvHo1WLVa2pqrlo86szMJPie91DQ0UHeypWGCCmA2CNxENr4Ll++nOXLlyux6uPju8+dO8c5gM9/ntyuLnry8yEYDD2oNUYVonUiEy+u5JRkNpM+NMSi8+f50+23A7Dr179mNCVFSST1ZmRwaWCAS3/5CxCOXwmCQFZWVsw+vsPhMBYSB7BrF3aHA/r6xmpfYcKqbDx+JeNWcl84NY710ksvkZGREXZdtA4m6uvro62tDTBWjzit58ekpCTlO4bIwUTqWHU5mEh+zTWDia4DJE6r8TgdTTuYaHSUmve+F0EUuSS1LhBsNs3nmWiZfX19fZoiqtFSQkIC5RYL5fv3s3n/fnZv386r27YhiCIJ42/EOKvhNYLmNmAxlhGdstbWVgYGBkhOTqaysnLmb3QNTaV4dLJYdUEQqKioIOH//k9Zldluuw3Q9kTmzYbEQXis+rp16wgEAiH38uWXEfftw1NZGdp8hX6ZH3z+85Q3NipYXNXevSTt2BHbf8QkMiIS1zYyQr+ExC2+cIEkn4/Vx44RNJlorqvD9v3vY3c4cDqdEfEr+RSmuro66n3h1DJiSIHf78cxPAyA8OCD0N8/pYuanZ1NXV0ddXV1BINB2trawvCrwcFBzpw5wxlp4V5YWKhgcVrEqsvfdXl5+Yx6zI2X3j3iorVIVQcTybHqamPparHqE4KJJKOvfXiYvvvvJ2l0lOqbbjIMEhft73o6Gh9M1NPTM7ZRvnCBAeDK/PlckQwOAGdtLVn9/QiiSE6cN+mW5xmtEFWI/jxDQwNOyVAIM5+0Qn3ehJrbgMVKEhLXIB/5a4DEgT5OWSyQOJhe8agcq1578WKoeNRmU4pHtXbKoonEaY2oRkMytlOVmsq2n/6U4ZQUfvHud+MQBDIGBhjMzKSxooLGigr2b9lC0v791DQ2KgsZPfCrqWhoaMiQSJwoIXE1TqeCxGEyYQLM3/gG5i1b2CzV9Y2PVZfxq9dee43ExESqqqqUhb/ZbI5qrygtN2B6IXEej2cMUb3jjmkjcRAyMEpKSigpKVGCiZS6PimYSI5VVwcTzShWXVqViVIdmpFOZNRInB6YljpWPVIwkcvlmjRWXWhspPrjHyd5dBRx/XpAQlQNhMRFi2rRQrm5uWPBRM88Q+sDD2ATBM4tWUKDVBet3pAVtbUhnDyJYDZPHqseQ0UjeC3a88zwe9+LRzLcxydfa4L6vAk1twGLhaTR4sjKIvjud1PY3k5uXZ0mo0VPpyzWJzJTKh6treWietERDOJNT2cgM5PMgQHNikf16NsTD5uUq0qyu1NGRpRQiHt/9SsKOjqwS0icKAj0Z2djs9kU3E+OVZcX/lNuCqmxnE4nwWCQgoKCqSVwXUN6IXHiFJA4iBCrPjAQZmD09PTgcDhwOBzs2bOHtLS0MPwqPz9fs3uwt7eX9vZ2wJhInJaIamJiIjU1NdTU1FwzmGjfvn1KMJF8XSYNJpLmmaDHg/ilL0F2NsLXvw59fYaYZxwOh6bjcboaH0w0MjISZmCEBRMBiQ8+SLXLRZ9UlxyNlLhoInEyolob5811TeXllLa0UNrSwkhKCg1VVdTY7VS53dgFgcby8lAwUXc3h3/xC+U6yif95eXlMekLJysYDCpznxZrKL3mGed//AcBp5P8zk7yu7pCf67V7v9NqrkNmN5SjRZRqtuIRkhBtJwyn8+H0+kMfe44QeJkTaV4FJOJP9x1F38ASpubEWw2hCtXqNm0SbOmkFrKMI1TQbHFW0dH6c/OJnlkhEq3myS/n7qTJ6k7dYpgZSVtr7+OTVpgRopVLywsVCZLPd1LLSdFXZG4oSEAhK99LbS4nuJFzczMZNmyZSxbtoxgMEhnZ+cE/Or8+fOcP38eQNNYdaMjcdF89mkSTKSaZ9pKShREter4cUPMMxBfSByE6voiBhMdOIDt8mX6cnKwq+6L/Zs301RejmCzYRVF8uIYiVOPRyMhcXIv0uWnT1N/7Bjs3o03PR37mjWIX/kKot1OV1cXbrcbt9s9FqsukTRWq5XCwkJdzc329nYl1bi6unpW76XXPAMglpWB04ll6VJ45hmNL+qbU3MbMD01brSI0sPaSMWjMhKXmZlJSUnJ7N4sihpfPPrre+7h7PLlVLjd+JOSaP7/2TvzMMfKMu3/Uvu+V2qvSk5631e6G7rpDUUEHGlXxlFExAVQVBQ+t2vwGwUVQdRRRp1vFAZBxIFxQBwFeqNpuul9X3Oy116pNbUn+f7IOadPqpLuWk5OKpj7uvq6oLoqnco573nf935/z/1UVdFSWUlLZSVveTyk/uAHSvqVxWIJj1WPkwYHB/F4PEBioQrij34ESEic3x/6O2mCMzz+OMaqKoxVVaxbtw6/3z+urk/Grw4cOIDBYAhrCllTUxMz9zJRkTgFUb3xxikhcRDCr0pLSyktLWX16tUEAgEaGxvD+sJpEqs+FonTaHGtBxIXi/E4EU0pmGjHDoRZs2hwOJR5RkFUE2CegZmNxIEqmOjkSYKPPUZHWRkHV65k/7p1EAwylJ3N6YULOS01vi/euxehr08xMLQwHrRSoiNxSiS6wUD24CALvvQlFtx8M8C4ur6BgQHOnTvHuXPngFDfRbWxFOtgItno06IVhV7zDKjG4/r1IFFHSU1PyQ2YnlKNlu7CQjrKyiAY5MTixQxmZSVE8WgskLhYO2VBjwe7tNC77rXXMDkc+HJzQ0jcokWIq1fT09Oj4Ffbt29XYtXlhb/eqVBwCcEpLS3VJBVNNyTOZoO+vhCCIyuKLZ6amnopVn3LFgYHB8OwOK/Xq7iXu3fvJiMjIwy/0ipWvbu7m46ODgwGQ0IicVojqnKgTW1tLddee60Sqy5fl9bW1qix6nJfuHHvR43EffWrkJeH5RvfgJ6eJBI3QU04mGjRIvYvWkSK30+GFBpS0tFBICWFlEBA0749sZhnZETVYDDMeCSOqioMQFl7O5nSZ73g1CnW7t+PVRAQLRbctbV0joxw6NAhDh06pMSqy/NLbW2t7n3hZKlTjRMJibP/278RlJC4oq6u0NcjzDNqMiYYDI6r6+vp6eHo0aMcPXoUgIqKirBkZa3JGC2DnvSaZ7ROUU0qpOQGTE+pRoHsSmIwcHrRIk4vWgQki0dBe6es5e678eXlkT48TJ30D+X297P45EkWP/ggwVtuwev1YrVald5WSqz66dNA6CEuT5Z6uZeJmhLnkBYhlm98Y1JIHITwq/nz5zN//nwAurq6wtzL/v5+zp8/z/nz5wHtYtXVCM50E+fgnYXEQeRYdfVGWY5Zl99PTk5OWP1Y0fbtyqqs1WhUxmNtAiJxMwm9HhtM1N/fj/3pp7G+9BKixUJXcTGDElJ2YM0aji9disluD2FxDgclweCMrC3VGlEFfZA4GUG0WK3UuVzUuVxs2r2bIbMZ+8svI0rotTpWfc+ePaSnp9PQ0KCMF6PRqNt1aWtrU5C4OinQYqrSFYmrqACHA2ESSJy88a2urmb9+vURg4laWlpoaWnhrbfeUoKJ5Osy3WAirVON9Z5ntByPSSU3YPpKNQrkDdiSo0cp6OlJiOLRgYEBGhsbgcRyysS2NmhuxmS3kyojcapVmQEU/CosVl3VFLKzs5POzk4Fv1K7l3V1dTFxLxMRiXO5XJcQ1WkgcbKKiopYsWIFK1asIBgM0tzcHOZeRotVl93LK8aqS6syWwKmxMULiYPQxnfJkiUsWbKEYDBIe3v7uFj1U6dOcerUKQBKursR3vteBKuVtrIyIHGRuJm0ARurnJwcFsyZw4KXXwbg5MKF/NeHPkTq6CjpIyMMZmdzbt48zs2bB3Y7BY8/HmZghMWqx1Fa13/pYfQNfuxjUVPiMh95hLnz5zNXMpZ6enrC6vp8Ph8XL17k4sWLwKVgIvlPLIOJtEw1jgcSJ0wDiZtMMNH27dvHBROVlJRM/B/z+3G/9FIoRTU9nUopqGo60mOegcR49iWikhswPaVC4uQN2IrDh2lwOhOieFRGcMrKyqY9IejqlEmLCvMNN8BNN11xVabEqtfVsXHjRoaGhsLwq7a2NhobG2lsbFTwK7V7qUWsuhqJ0wLBSXQkDkLuZVVVFVVVVVxzzTWMjIyE4VdNTU1hserydZSvS3V1dbh7KSNxHk8oJS4vLxRkkWBInFaI6lRlMBgoLy+nvLycNWvW4Pf78Xg8yomy2+XCW1iId/VqDq5erXwY/pQU7A0N1LndpM5wJE5rRDWmUq3KWqU63flnznDLCy/QXFWF1WJBnD8fV13dOPyqsrJSmV/q6+vjEkykRuK0qP/SDYl74gmCDgclHR0UdXeHvh7l+LWgoOBSrHowSGtra1hd39hgorKyMuU5pjUZo+XiWq95RusUVVkxCyaS5hpx1izYtAnzkSMYzOZpOwB6zDNaI6pJXVJyA6anVEhcf24uGUND1Mp2UQIUjybiiYw6tdHy7nfDFIJDMjMzmTNnDnPmzAEIw61EUaSvry8sVj0nJyfMvZzK4lj+rGtqapJIXBSlp6crnzFAf39/mHvZ1dWFw+HA4XCwY8cOMjMzL7mXFy9S8rGPYQgGaa2ouISoJhASp2Vqo5ZKTU2lvr6e+vr6UKz600/j+O53lXqYDukEzGaxYLNYSB8exmS3Yz59GsuCBdFj1eMorRFViCESp1qVyUicYLWSEgxS3dREdVMTG770JUZuvjnMWFLHqsv41di6Pj2CiVpbW/H5fKSnp1MrnShNVboafUZjCIlbvHhSKXEGg4GKigoqKipYt24do6OjYX3hGhsbaW9vp729nbffflsJJpKvy3SCiZJIXHRpFkykTr6+/npACl7TyAGI9TyjJaKaVLiSGzC9tW0bVgmJa3A4SA0EQl9PgOLRRHTKXC4Xo6Oj5OXlUa7BkT+E8KulS5eydOlSgsEgbW1t4/CrkydPcvLkSeBSrLrsXl52AZfAjVO1RlQnq5ycHBYuXMjChQsJBoPjDIzBwUHOnj3L2bNnASi8914Eq5VRCbtpcDhCiGqCIHFaFnPHUlm1tcw9d465585hb2jgydtvJ2NwkDnnz2MTBHx5eVyYM4cLbW3wxBORY9XjrISqfQXYto3B557DIz2DFCRONc+kQ1isus/nCzOWenp6lJrY119/XQkmUveFi4XeEUichBpORWlpaWHBRAMDA2F94dTBRDIZM6VgIgmJGxkZISc9nQrJGJmO3slIXLRgIvmkP2IwUV0dwu9/j1BRQVFnJ56amtD71rhHnB7otRbjMalwJT/NOMgmIXHCBJE4iH/xaFdXF16vVzMkLh4nMrFw1Q0GA0ajEaPRyNq1a/H7/WHupcfjGRerLtf1CYJAbW3tJfdSjcR99auQm4vwwAPwjW8kFBKnBaI6XRkMBkpKSigpKWHVqlUEAgGamppCk+Xhwzi9XrqLijiycqXyMy1GI69edx2CKFLvdJKeIEicVilxevbtmXv+PNteeIGgwUBLRQXi8uWIt96Kw+mMGKsuY3ENDQ26BxMlZEocYF+8mODp05RmZ1P4b/92xYuam5sbilVfvJhgMEhHR0eYsRQpmEhNYGh1EpGIRl8sEdXs7OyowUSiKDIwMDD5YCIZiZs9GzZuRDh8OCGRuHi2KIgUTCSbfVarlb6+PkSbDXHNGlizhszBQYIpKeT29aGsRDR0AGIxz0Cy/iuWSm7AdFYYEnf99TDFUxndikflExnp1KC2pkaTBdA71SlLTU2loaGBhoaGEH41OIjdbldcso6ODtxuN263W4lVb2hoCPWH+fa3KW9tpaWykv7c3FBK3NGjCYPEzbTGqWrJgTY1NTVc6/EwfP/9OBsauGixsH/tWjAY6C0sZO/69exdv57U0VEaDhzAnJam9IWbSVic1oiqHiEFfPCDl3ofSu/fAFS2tFD56U9z9bZt0WPV29p4++23FRdajV/FGotraWmhv7+f9PT0hEqJUxDVRYvgve+d1M8aDAbKysooKyu7bDCRHKsOIRxMvi5TDSZSz4+JisRphahG0+WCiRwOx5WDiV5+eTwSJ4oJg8RpiahqqbFkTHt7O9bnn8e2Zw92k4kh6b7w5eXx+Je/TGl7O2ZRxCKKmNxuYnvXTE1aI6pJhSu5AdNZMhKXn59PmQZH/rJiUjyqWpWJH/wgLFqE8D//A8XFCXEio0bi4rUpyMrKYt68ecybNw8IOaVq97K/v58LFy5wAeCuu8jv6SGvrw+AWpcroZC4meBKTkhVVWSMjDDr4kVSR0fZv24dOX19XP/Xv2ITBKwWC70FBYj9/Yivv67gV2pXOV59oGQl3InMtm0MPPccjZdB4mB8rPrAwECYsdTZ2YnT6cTpdLJz504yMzPD8KtYBBOpEZzpptDGBYnT4B6ZTDDRnj17phZM5PfjfvnlUIpqejrG0tJpv2+9jL544cDRgolkwy9iMJHHg7B+PbVuN24ZibNak0ichlKCiRYsYO3dd+NPTeWnX/gCPUVFlLa34y0poaOsLNS8+6qrMFit1Py//xfWFy6eidey3G53CFHNyaGioiLeb+cdp5l5976DpS6cj5Wjrknx6P/8j7IqCxoMl5zro0fhpZcS4kRGnhTLy8vjjsTJKiwsZPny5SxfvpxgMEhLSwvWV1/F9re/4WhooLeggF7pvdosFn5x112hnj2iSMPOnWRs3Trt9xALVEFrRFVWTLA4NRIn3dezrFaWnDjBkhMnCBoMtC9ciPjrXyPabAp+FRarXlKiTJYmk0nX3ihaInF6nsjYFy0iePo0ZTk5FEwAiYMQfrVgwQIWSDHTkwkm0ipWPRGRuFiNR1mTDSbKzc0NIzDGBRPJSNycOXDttQiHDiWRuCkoUjCR+rp0d3fjqKrCoTryyxga4vycOVhEkWKvF0OCIHFamqqxxq/7envpKSrCEAjw6X//dwgGsZtMiBYL4pw5dBQVKWTMG2+8QXp6epixFK9gIj3Wq3/PSm7AdFY8MK0pFY/a7Qjr1iGIIkGDgYGcHDKGhqiRd0oJdCIzE5E4CG2UKysrqUxL45qnn2Y0LQ2bycSzt95KMDUVgkHajEbajEb2r1tHyp491LlcysJ/XKx6HCV/1rW1tZrV6MQMi1MjcdKCyazq22MAyr/zHcrXrmWNVNc3Fr/yer14vV4OHTqk1Geq6/pi6czKSFxGRsa0EZx4nMiYFy6cNBInSx1MFAgExvWF0zqYKAwZ12BxrTcSpxWieiVdKZjI5/NFDyY6cYKsj3wkhMS95z1AYiFxLS0tMxKJg1AwkZqM6XzqKaz/+q+IFgsXZs/Gn5bGcGYmr9x0EwCFXV0hw+/8ecxXXRU9Vj1O0no8gj74tfjd7wJQ3dhI1uAgAPPOn2fe+fNwxx10b90amYy5cAEgbsFEiRL0lKhKbsB0VH9/P02StRnPGzpS8aiM+SjFo7W1iNJkkj48DEBxZyd9+fkUdndrtyoj9k5ZvF3JK0pabaWNjpLm9xNMTSWvt5fP/eIX2M1mRCm+u6u4WIlVl/GrsXV98XKpYpESF1Msbts2Bn7/exqlQIFoSByEx6pv2rSJoaGhsFSy9vZ2PB4PHo9HcS/V+JXRaNT0usiupBZInF4nMqD9eExJSYltMJHfj+ull0IpqhkZlE+m6WoUvdOROIgeTGS1WpW6vrBgokCAmk99inqHA091deh9J2BKnMlkmhHYWDQZDAZKGhooOXiQ1QcP8rN77sFbVsbiY8foKSzEVVenBBMdaWqCRx6JHKseR8lIXG5uLsYptJQZK73wa9HphO7uEOopSzXXFMI4MkZd1xcpmEhtLMUimGhwcBCPxwMkN2CxUnIDpqPUSNxMiFaWlZ+fz5IlS1iyZEmoePTJJ7H+279hEwTsJhPD0uBuqazk8S9/mZKOjpBLduECprVrdXFYJ6vOzk46OztJSUmhoaFBs9eNNRJnVYUU5A4MsPD0aRaeOQO1tXgPHUKU6i4ixqoXFiqnY2azWRP8aiIKBoOaLvj0wuJsixbBmTMhJO6Xv5zwBc3MzGTu3LnMnTsXCDUFVbuXPp+PixcvcvHiRSCEX6ndy+nisFp+1nqdyMQaiYPowUTywr+npydqMJHFYgmPVZeRuLlzYcMGhAMHEhKJmwkLJ3Uw0ZYtWxgcHLxU13fqFN6BAdx1dbilgBNDIMCfb7xRCSgoc7kwJJE4TZG47t5evGVlGAIB3vvKK2QNDTGckYGjoQFx6VLELVsikzFj+sLpbfhpmWqs1zwTDAYRR0YAEL74RbjzzsteVIWMqazk6quvvmww0f79+2MWTCSnGpeWlk6pl2lSV1ZyA6ajZtKkGE0Gg4Fyk4ny/ftZu38/gxkZPHL//QTS0qhoaqK1ogJvaSne0lIONjZi+OEPqampmXHFo4mOxClOmWpVVlJeTkl5eVisurqur7u7Owy/qqysDHMvte4LJ6u5uVlB4mqkou7pSC8sThmPixbBDTdM+XUKCgpYtmwZy5YtIxgM0traGuZe+nw+Tpw4wYkTJwAoKysL6ws34fvT72d01y4c8vvWYCOjdxqpluPxSooUTCRj15cNJmpvx3zPPeT09yNK94U5wZA4rRDVWCgrK+tSrHpPD12f/zyiILBn/Xo6S0sJpqRwfu5czksGR35PD8KRIwhS3eVMMi8TFYmzfu97ANR4PGQNDQGQMTLC7IsXmf3978O2bSESRmUsqev8IIQ3qgkMPYKJtFxD6TXPhKWo3nzzpHdz0YKJ5GdZrIKJ1PVfScVGyQ2YjooFEhfrE5nG2loCaWnk9/Tw2V/+kqHMzBAWt2QJ4oYNYbHqM6l4NBGRuP7f/56mCSBxEB6rvmHDBoaHh8Pwq5aWFpqbm2lubmbv3r0KRqfGr7S6LlojOHphcbEYjwaDgYqKCioqKli3bh2jo6MKfmWz2WhsbKS9vZ329nYlVl3dF66mpibyZyitylzp6Yzedhv5PT2Ur16dECcyEH/zSR1MJMeqNzY2Kqdjbrf7UjARwNe+RmVzM82VlQDUOxwJg8TJC6eZjsQBUFVFUXc3K44c4c316wG4/i9/wZ+aimix4Kyvp7eggGM9PRx78UUgQqx6Rkbc3r6capyXl0f5FFvKqKUXEme7AhIHobqjMDKmvT2srq+/v39cMJE6WVlrMkadapxIgThaz4+XCyYSRZHBwcHpBRPJrYekNgZaGH1JRVZyA6aTvF4vXV1dmiJxepzIWOUTGVHEAGQNDzPv3Dnmfe97sG1b9Fj1OBaPBgKBxETiFi6EM2coz8kh/1e/mtSqLCMjg1mzZjFr1iwA+vr6wur65Do/m82mxKqr3csw/GqS0npxrQcWFytEdazS0tIwmUwKdjcwMKD0hZNj1V0uFy6Xi127dpGRkaG4nRaLJeRevviisiqzSimYgihiSJATGa0RVS2kDibauHEjw8PDobq+3bsRjxyhzWikWXWDPXH33TQ4HAiiiCCKVOzejWHz5mm9hyQSh2L2dfX14S0txRAIsPzoUTKHhrhm715G09JwrliB+N3vIkaLVVfV9ekdTJTwSNy998JnPnPFi6rEqpeXs2bNmssGEx08eHBcMFFdXd20Nx8yEldWVqZJqrHegTixCgOLFEwkG36TDiaSFpVdvb14v/xlDIEApptugh/9SJvu8EmFKbkB00nyIKyrq9PEsdPjRIY//hHbjh2ACokbsyqLFKse7+LR5uZmBgYGEheJW7wYpDSwqSovL4/FixezePFigsEgHR0d4+K7T58+zWnpxK24uDjMvZxQrLrfz8jOnTjkxbVGTpkeWFw8kDgIuZcKfsUl91LeLI+LVc/PRzh0CGHRIsyiGJ7amCAnMlojqrFQRkZGKFb90CH4xS/ozcvjhW3bsAsC6cPDjGRkYJ01C6tkcOS8+SaC1xs9Vj1OGh0dxel0AomFxIkSElfrdpMpIXEYDKT5/QgPPIDwrncBoSArdV+4rq4uJZhox44dugcTJTISl5GRQe0UkDiIHkwkL/xjEUyktdGnxzwTC0T1clIHE23YsIGRkZGwfn1yKJE6mKi+vj5k+DkcVN52GymBAOLy5YCEqNrtGh6/JqVWcgOmk7R0QfRyyvrf8x6apLoV4Wtfg7q6K7pkM6F4VP1Za/F6eqMKWp8SGAwGysrKKCsrU/Arj8ejTJZut5vOzk4OHTqkxKqr06/q6urGp1/JSFxGBv5PfIL8nh7KVq3SZFWmBxY3U1oUqN3LYDCouJdKrHpvL0fnzOGo1G9J/jAMgQAj6emkj4xolkga6xOZREHiAPL7+uiWalo+8Mc/UtzZGerZIwUT9WdkRI9VN5niFkzkdDoZHR0lPz+fsrKyab+e7ilxMnoNEY9gc3JyWLhwIQsXLgzFqo/pCxcpmEhtLGkZTKRG4rR4jug1z2iZoiprbDBRd3d32EZ5bDCRTMbIm+XLnmjFCInTY57RGlGdrNLT08PIGJ/PF0Ys9fT0KGTMdiD7q1/FbLPRJRlKWjfoTipcyQ2YDlIjcVq4IHqfyBiNRvI+/vFJ/3y8ikcTEYlTI6qxSomTJWM7dXV1inup7gvX1tZGY2MjjY2N7NmzR3EvZSzOuGcPhg99KITEXXcdoC0SB7HF4rQej1pJ3vhWVVVdilV/8knE555DtFhCSJw0Hl784Af5n9FR6lwuBYuruvbaGdMXTq1YGAuxRuI6fT46S0pI8fsx2e1kDg9jbGtj7f79+Ovrce/YgSi1IvB4POGx6gZDWF2fnsFECYvESa1OhC99aUJIHEix6iUllJSURAwmcjqddHd3c+TIEY4cOQJoG0ykTjVORCQuljhwYWHhuGAieX6x2+3jyBg5mMhisYSTMTIS19eH90tfCiFxN96oGRIXa/xay/GohXJzcyOTMW+/jd3jYSAnh9MLFyrfrxgiWjaETEpRcgOmg5qamhgcHCQzM5Nqqc/J9F5P2++LJq0f1HoUj47s3InTbg+97wRE4rRCVCejzMzMEH4lnbLIseqyg9nX16e4l6+++iq5AwMIt9yCWRS5KDlrsXDKYoXFaY2oxkrp6elYZs3C8tpr8NprvPD+93Ni2TLKW1oYzsyku6gIu9mM3Wxmu8tF1iOPjKvri/ekLyMwoG0gTsyRuIceCr2u202mtDmQN7+pjz1Gg9lMg9nM5s2bGRwcDOsLpw4m2r17t67BRFqe7Opl9IWNx5tumvIAjxZMJC/8NQsmkk9kpJoacwLNM7FAVK8kdTBRNDJmbDBRbW0t5sFBLA8/THVjI+KyZYA0HjVG4vToETdTal/VCiNjrFYC996Lp7qaY0uXcmj1atKHhqgd+wDQoiFkUoqSGzAdpDUSp4dTpkcvmVgUjzozM/F//OMUdHdTunJlEombgi4bqy6K+LKzObFkCSeWLFF+xmY2kzk8HDotmOFNurUejxD7Exk8HlxSWMh1r73G7AsX8JaUhLC4hQuxzZ0bPVZdQn1ycnI0eEOTk8vlwu/3Jx4S53BAT88VkTgIxarPmzePefPmAcQtmKi/v58maYGUSClxsUptnEowkTxWLBZL5Fh11e5f/OIXoaQEy3e/C4ODCTHPaI2oTkXRyBh5vChkDLDrjjvIGBpS6gIrm5sJBoOhjbKGSFws5hmtEdWYqqqKlECAOrcbZ309ACaHg9RAYNz3JaWdkhswHZSIxaOdnZ10d3fHPCVOVqTiUdm9nFTxqFSsnUTitNHYWHX/M8/g+sY3EC0WTi1ciLe0FICjK1ZwdMUKDIEAtW43wokTl49Vj6Ni0aIg1icy3jvvpKu4OITEORwYgNLOTkoPHmT1//k/BN7/fhobG8P6wimx6ocPA4TV9dXX14+v64uB1L1kEgWJCwQC2OSUuC9/GT772UntqqcTTGQymaZ8Ai4/Q4xGoyabOr2QOL0SMiMFE8nzi91uZ2BgICxWXQ4mslgsmEwmsv/yF2X331lcrCCqDYcPJ8Q8AzMPiYMoZMz//i/iiy9iM5sZyMlhWEISD1x1FefmzlWwa+H118l997vj+fajSmtEFfQx+sb1IgXtGkImFabkBiyWkpA4l4zgaLSR0cMpkxdO8UDiQMKvLBZlQzLR4lG3hJQJGqfEQexQBa0R1Vgqtboak8OByeGgLzcXb2kpc86do6CnB1EQ8JaW4qqvx+X1sus3vyEjIyMMvyorK4vrxC9v7EGbBZ9uJzIdHdDYSJ3LRYaMxKlWZSmgxKpfe+21DA8Ph6Vftba20tTURFNTE2+++SZpaWlh+FVlZWVMrouWi+u4IHE33wzTOCWNFkwkL/ybmpqiBhNZLJaJxaonMBIXC0R1IlLjV9Fi1ccGE1W3tGDevBmLKNIqBSooqY0JMM/AzCItoqm4uJiVwMrnnydgMHBy0SJe/MAHMAQCpAQC9BQWcnT5co4uXw5vvUWFKEYnY+IorT9rPYy+0Y98RDkBs8in/1o2hEwqTJPegO3evZtHHnmEQ4cO0dTUxIsvvsj73//+qN//wgsv8MQTT3D06FGGhoZYuHAhDz74INdff33Y9zz00ENcvHiRkZERZs+ezX333cfHVcEPDz74IN/5znfCXruiooLm5mbl/4PBIN/5znf41a9+RWdnJ2vWrOHnP/85C1VFhbpJGi0OCYkr7OqiRCMkDvR1ymaCJls8+vrWrdgbGrCIImabjewkEqepUxZUOWWrDhxgtpRu1VVUhLhyJeJnP4soxd2fP3+e8+fPA5Cfnx+GX+Xl5WnwpiYup9OJ3++noKCAUun0bqrS60QGQCwshMZGzJs2wbvffcWLmpGRwezZs5k9ezaAglvJC8ze3l7lvyGULifXj1ksFk1i1RMdidNyPMpS41cQOVZ9bDCRui/cuFh1NRJ3771QXIzl//5fGBhIGCROS0R1qooWqy5fl/b2djxGIx6jkT3XXotBQrPSR0ZoqajA2NKCYYaj11qPx5hKOlZNCQbpkU6PZl+4wAf/+Eec9fWIgoAoCDRXVY0jY9R94aqqquIWTCQ/W7WgWvQy+pz/7/8xarOFUo3b2kJf12pRmdQ4TXoD5vP5WLp0Kbfffjsf+MAHrvj9u3fv5l3vehcPPfQQRUVF/OY3v+Hmm29m//79LJd6DZSUlPDNb36TefPmkZGRwcsvv8ztt9+O0WgM26gtXLiQ1157Tfn/sWjTD3/4Qx577DF++9vfMmfOHL773e/yrne9i3PnzunSAFiRarSI0vG41kgcxM4pm8lIHEQvHt23bl1oExYM0l1UxOFVqzi8ahUEg1Tv24fg90ePVY+jEhGJ67zzTrqLikIIjuRgYzBQ1N3NirvuYsW2bUqsuhq/6u3t5dixYxyTIoWNRmOYexnr01YtERy9TmTCxuPWraGLOUnl5+ezZMkSlixZQjAYpL29PSyVrL+/Pwy/KikpCasfm0qsuhqJ02Kj/U5D4iA8Vh1C+JV8OhYtVl3ejJlPnyb3ox+FYBBvcbGCqCYiEmexWGYMEgfjY9V7nnoK8bHHlFYEPul+lnvD5fb1hZC4s2cRVqzQDDnTUlojqqAPEmeTxqEgiqSPjGCxWkOnM7W1+E6exOZ0KnNMd3c3drsdu93O9u3bycrKGtcXTg91dnbS2dmpSQmHrkZfdTXYbAizZ2N45hmNL2pSYzXpVegNN9zADTfcMOHvf/zxx8P+/6GHHuJPf/oTL730krIB2zRmdXLvvffy5JNPsmfPnrANWFpaGpWVlRH/nWAwyOOPP843v/lNtkmzwpNPPklFRQXPPPMMn/3sZyf8nqelMaNFlB4eZW1tCVM82tjYyNDQEFlZWVTN9KJLVfHoYalQ96r9+7FYrcpk2WY00jg0ROOePezZs4e0tLSwppAVFRVxm/xHRkZwuVxAYiFxVjUSJ9XLjF2VqWPVr7nmGuV3lRf+TU1NtLa20trayr59+5R4fPm6TAi/mqS03OzqdSKjNaJqMBgoLy+nvLyctWvXKviVui+c1+vF6/Vy8OBBJVZdXvhfMVZdWpVZpehvQSMERy8kTktEdbIqLi5m1apVEWPVXS4X3d3dYcFElZ/5DIIoMipdDwVRTSJxmqqgvp5lx46x7NgxPNXV/PtnPkPqyAhmux1HQwO+vLxQMFFLC/z4x0qsulzXp2ez92hKRCRu5KMfxSFtYJSaJNXxa25BAYsWLWLRokUEg0G8Xu+4vnDxCCaSP+va2tppX3u9jD5Q3SPr1sHSpdN7saSuKN2PAQKBAL29vVGdiGAwyPbt2zl37hw/+MEPwv7uwoULVFdXk5mZyZo1a3jooYeUSdJms9Hc3My7VQWZmZmZbNy4kb1790bcgA0NDTEkLdohFL89balGS19uLi3ShvHV669n/9q1SvGo+fXXyZuhxaOJjsTNvnCBWVYrcy5cAIOB3jlzEJ99Vunb09fXh9VqVVCj3NzcMJdMC/xqonI4HPj9fgoLC6ftzunplNkkJE6YIBIHobo++TOGS/iV7Ph3d3fjcDhwOBzs2LFDcS/lhf90Y9V9Pp+CLGuxCNG7b08skDgIx6+uFKv+xhtvKLHq8nUJi1WXVmVBtxvxS1+CoiKE73wH+vsTConTAlGdrsbGqsv1UqIoIh4/TovPR3NVVag/nKTuggL2rF+PYLVS6XaTMsOROHk8zvgecRFOZGZZrXz0979nNDUVd10d4rJliO99L41NTWGx6gaDQanri2cwUSIica5//3f8MhLX3h76epTjV4PBQGlpKaWlpaxevZpAIEBjY6NiLF0umMhisWhKxiSi0ZdQiOo7RLpvwB599FF8Ph8f/vCHw77e3d1NTU0NQ0NDpKam8otf/IJ3SYl2AGvWrOGpp55izpw5tLS08N3vfperr76aU6dOUVpaqjzIKyoqwl63oqJCKfIdq4cffnhcXdm0pRoF8oM6Y2gIf2pqsng0lilxn/kMPYWFpI6O0iA52PKqLP+hh1i6fDlLpVSytrY2ZXFpt9vx+XycPHmSkydPAlBaWhrmXk4Fv5qo1J91IiJxwhSROAjHr4LBoIJfyeEqY93LwsLCsPqxCbuX0orMJvWXq9AIidPjRAb0r8eccqy614vw5S+T39tLZ0nJJUQ1gZA4LVMbtVZ6evqlWPWODvruvBObIGAVBI4tXQopKXSVlPD6ddfx+nXXkd3fj/nQIQSp7rK4uDjev0KY5PtaK0QVYjjXqHb/MtUityhICwRCwUSPPsqWbdsYGBjAbrcrzzKv14vL5cLlcrFr1664BBN5vV66uroSDomzVlVNGYmTA21qa2vZuHGjEkwkG35tbW3jgokaGhoUY2mqZEzY/KjBM1tv9FpLRDWpy0vXDdizzz7Lgw8+yJ/+9CeMRmPY3+Xn53P06FH6+vp4/fXX+cpXvoIgCAqeqMYeFy9ezLp167BYLDz55JN85StfUf5u7IBRsL8I+vrXvx72sz09PdTV1U3vl1SNAvlBvergQTbt3Imzvh6rICBaLLRUVs7I4tHh4WEFiUskp0yNxKVHQeIgdH8YjUaMRqOCX7ndbmVx6fF46OjooKOjgwMHDij4lXxdrohfTVJaupJ6OWWNjY0MDg6SlZWlWWqjwWCgpKSEkpISxb1sampSJksZvzpy5AhHJLStqqpKmSzr6uoiGxiqFZn1fe+DFSsQXnsNKioS4kRGa0R1KppwrDrAffdR3tpKbl8fADVud0IicTPeAa6qIs/nY/GJE5R0dHBs+XLSh4bYun07NrNZie8+3dfH6ZdfBi7Fqsv4VXZ2dlx/hVjUvsZ0rtm2jZE//AGn1D5AQeLGzDPZ2dnMnz+f+fPnA9DV1RVmYMQjmEj+rLVINY4HEidcfTWo+k5ORZGCiWRU0Wq1hpExr732Gjk5OWHXZUJkjN9P8yuvMDAwQGZqKjVRSmYmI72NvpmOA7+TpNsG7LnnnuOOO+7g+eef57rrrhv39ykpKUrDxGXLlnHmzBkefvjhcfVhsuRUPNmFlWvDmpubw+qWWltbx52KycrMzNSezVYjcbJTZrWGF4+ePYvv5ElEVUx0T0/PjCgedTgcBAIBioqKpu2Y6orEFRSEkLgtW+D66ye8KktNTaWhoYGGhoYw/Ep2L9X41e7du8nIyFDqxywWy7Tcy76+PlpaWoAkEjdWavzqSrHqe/fujRyr/uKLyoosCJf6mxw/Di++mBAnMloiqlooWqy6uGMH4r59NFZX02Y00iYZbO66On5z++0h9NpqpWb3blI2b572+4gFEufz+ZTxmEhInHxfW0SRNfv3s2b/fgIpKXiWL0d85BFEu31crDpAdXW1Ml70DiYKBoOamk96zTXO5cvxnzpFQWYmpT/9KVRXX/GCFhUVsWLFClasWKEEE8nzi17BRImKxMUCUZWVn5/P0qVLWbp0aUQypr+/fxwZIxt+EckYyeyzmkxw3XWYTp0iRRCmffyqh9Gn9XhMamLS5Yn77LPP8qlPfYpnn32WG2+8cUI/EwwGw+qzxmpoaIgzZ86wQdr2m81mKisrefXVV5Vwj+HhYXbt2jWuliymkkZLx2c/qyBx9WOQOLl4NGKsujT44108mtBInNQLbCoai1/J7qUcFT0Wv1K7l2azeWJH92OQuMqKCnJzc6f8nmW9k52yse5lX19fmKs8NlY9Ozsb4dQphOXLEURRQYBTR0cvpTYm0ImMFuMxFlJi1fftY+uvf81AdjZWs5n/3rYNf1oawZQUnA0NOBsa2Ll5M5l79mBqaVHGTGlp6Yz5veTPukKj8QjxQeIwGEgJBqn7xjeo27yZjYTmSxm/stlstLW10djYSGNjY1yCibxeL93d3Ur94XSl11yjIKrz52P4h3+Y9M+rg4nWr18fFkwkiiLNzc1hwUQyGSMv/KdCxiQqEhcLRDWaJkPGqIOJFDLmwAFSP/xhCAaxbdkCSONRo+PXWBt9nZ2dmiGqSU1ck96A9fX1cVHq+QMhbvTo0aOUlJRQX1/P17/+dTweD0899RQQ2nx94hOf4Cc/+Qlr165VHI3s7GzlSPfhhx9m1apVWCwWhoeHeeWVV3jqqad44oknlH/nq1/9KjfffDP19fW0trby3e9+l56eHm677TYgNIC+9KUv8dBDDykLtYceeoicnBz+8R//ceqf0FS0bRtiezs0NVHvdJI+Ohr6+mWKR5VY9auuIhAIjGsKGa14VBAE6uvrNS8eTTQkLlapjZHcS/m6OJ3OiO6lPFlGdC/VfXv+4R9g+XKEV18FozEhkDitEdWpKi8vb1ysutrAGBgY4JQgcEpacOT4fACUdHTgT00NYaozvG8PaDseYypp3GUPDFDU3Y0/LY2sgQE+/atfYZd69oiCwGB2NufOneOcZD4UFBSEYT5abXymokRE4ob/8AdcV0DiIER7zJkzhzlz5gAojezlMRMpmEg2lSwWi+ax6loicaDfXKN1i4KxwUQ+ny/suqhj1dXBRPLPXDGYyE1cs6gAAPyXSURBVO+n6c9/DqWopqZSHYUGmozeqbWvakUjYyIFE+3evZv0kRFMt95Kg92OQzIUBKtV0+NXPYw+rcZjUhPTpFftBw8eZLMKIZFrqG677TZ++9vf0tTUpMT4Avzyl79kdHSUu+++m7vvvlv5uvz9EHro3HXXXbjdbrKzs5k3bx5PP/00H/nIR5Tvd7vd3HrrrbS3tyvxyfv27Qvbrd9///0MDAxw1113KY2Y//a3v8WloFAsKICmptCJzHveM+ni0bq6Ourq6ti4caPiXsqDP1LxqIxfTad4tK+vj9bWViCxkLhYNk5Va2ys+ujoKE5VDxJ1rPr+/fvHx6rv30/Khz50CYmTnetjxxIKiQsEAhQWFs6Yon51rPqaNWtCsepPPon4n/+JKAi4a2vplxb2bRUV/PD++6lubFSwuLoNG+KSSnYlaY2oyoo5Eifd12abjdLOTkoPHWLl4cME6upo3rNHQa+dTic9PT1hseoVFRVxCSZSIzhaLPh0Q+KWLcN/6hSFmZmU/OxnE0LiILTxHYtfqfvC+Xw+Tpw4wYkTJ4BLwUQyfjVddF/rU3Q95hp1imqsNgW5ubnaxapLZp9oNsPWrZhPnkxIJG4m1GNeNpjo3Dn6gQtz5nBBMjgMgQBvXHstgtWKYLORr5HZF2ujbyZ81n9PMgSDkaaIv0/19PRQWFhId3f3tBy/QCDAD37wA4aHh7nzzjs1CyqQpcatZPdSLbl4VHYvJ1o8evyPf+TFs2epysvjM1/60rRXZX4/mExXdspstun9U7/5zW9wOp3ceOONrFq1auovNE3Jserydenq6gr7+8yhIcxSG4Lijg5+94lPkDo6ygPf/z7pfr82H4akWMX+//Wvf2Xfvn0sX76c973vfdN/wVhp506QjKKBrCwe+8pXGM3IoLCzk+4xG8f09PQw/MpoNM4ILO7EiRO88MILVFZWatbHMKaJpNKRz29vuw2HycR7X36Z1QcPXlqVjTEY5J5b8sJfXtzKUgcTWSwWKisrY2awtLe38/Of/5zU1FQeeOCBaW/8VLffZbVjx/QWVH/729946623NB2Pfr8/VNcnPccaGxtRLxPkWHV5fplUrLrfT2D3bn64Zw9DgQCfvv12ajRAEPWYa06ePMl//dd/UVFRwec+97lpvd+pSI5VV/eFCwQCYd+jkDGNjdTfcQdpo6M8edtt2M1m3vvnP4fGI2hi9kV6ltTVaWP0eb1efvazn5GSksIDDzwwo09lgs88Q8t99yEKAm+vXj1ufgEob21FmDMH4YYbMJlMM+r3CQQCPPLIIwwODnLHHXdQO8VU43eytNobjJXuMfR/D/J4PAwPD5OdnR2TRsaxKh4VV62CZcsQ/vd/Q0/RBHDKhoeHcUszQLwxLXWsOhDuXl64wCBwdv58zkrpWADZ/f2cmzcPsyiSm0TitJPqRKajrIzRjAyyBgb44k9/Sl9+fgiJW7QIcelSfD4fFy9eVNBqGb+S/2iNX01UiY7EWeSapCjHr+np6VgsFuVe8vl8YcbS2GCi7OzscX3htJIawdHi1E0vJC4WznVqaiomkwmTycSWLVsYHBwMM5bUsepyMNGEYtWleaYxGGTozjvJGhigav16TVbsesw16hYF8ZA6Vv1KwURvAmkPPECdy6UgceYEQuLkzzoRkDhDdTWVzc1UNjdzYvFiuoH1u3eDwYAoCJeCibq62P/ss8p1VPeFi0fitaympqYQopqZqflhQVKXV3IDFgPpWTivVfFoMBhElHqzJVLxqN1u1yy1UWvJseqrVq0i8MwzNH3ta4gWC6IgYDeZwGCgr6CA//rgBwGobGpCOH4coa6O+vr6GdMXTpbWiKqsmJzWqVZkVmmBb7bZSAkGKejtZdmxYyz79rcJ3nILra2t4/rCqfGrsrKysL5wmienRlCiInGOpUsJSEhc8SSQOLiUbCsHE3m93rC+cAMDA5w+fZrTp08DoVh1eTM23Vh1rTcyeiBxsUJUxyorKytqrLrNZqO/v//Kseqq3b947bWh92yzkeJ2J0SPuJmGxMFlgon27kW8cIHeggKlFynAb+64A7PNFsLiRJGivzMkLlZUiGz2+To7laboa/fvJ9fnY+vrr9Ofk4N95UqsX/0qos1GV1cXTqcTp9PJzp07yczMVAwMi8VCSUmJrgSGHqnGSUVWcgMWA83E4tFosepy8aixpYXeggJSR0ZCqY0J4pTNtEkxmlKqq6lpbKSmsZFr3nyT7z/wACOZmSw+dozWigpaKitprqqiubOTvU8/raSDqfvCxRuLkz/rqqoqzVI4Y4rESSsy29/+BkQOKTAQqjuqqKhg3bp1jI6O4na7lfHS2NhIe3s77e3tvP3220o8vjxZVldXx6R+rKOjg56enoRLiVPG44IFGKaBxBkMBkpLSyktLY0aTNTZ2UlnZ6cSTFRdXR3WF25CwUQSEmeXUk0Fk2nK71ktPYIK5ECIyspKXcNLJh1MVF6OsH07gsVCg8MRntqocT+SWM01Xq9XGY8zNSVOCSY6dYrgY4/RXl7OKzfcgF0QSPH76c/N5dSiRZxatAiAkr17EXw+pVxhHBkTJ6lTG7UiLWI6z0hmn/jggwBUNDeTK4U+YTCQMzDAgi99iQXS87Czs1OZX0RRZHBwMGIwkWwsxXpsJ8oa6p2o5AZMYw0NDSlI3Ey4oS8bqx6heBSDgZduvjkUUCCKf5fFo7EOKfDU1DCSmUl2fz/v/+//JiUYpC8vD9vKlYj33ovVZqO3t1dx/l9//XUFv5IfzEVFRVr8qpOS1oXzejTpHr7pJlynTkEggPCFL0BDw2UvaFpamoJfAQwMDIThV52dnQp+tWvXLjIyMsKwOK1i1eXPWquTUL2ROK0R1YkEE8mx6nIw0RVj1aVVmQcY+vSnQ0jcNdckDBI3ExZOY4OJ5Fj1sGCitjZaFy9m3+LFpPj9BCSXPcfnI5CSQkogMOMTSdVI3EwjE8apqgoDUN7WxoBklP3Df/83Rd3dWAUBmxRM5B0ZwXvwoELGjO0LF69gIq1TjfWYZ9i2DdHths7OS+0gIOLxa3FxMatWrQqRMYEATU1NYXV9Y4OJKisrlflFazJGnWo8E9arf29KbsA0lpwSV1xcPOOQOBjjXj7zDM1S8ejea66hPzcXf1oax5cu5fjSpYBUPHrsGEJ1NQ0NDbrgVxNVb28vbW1tgLabAr369shIHAYDeT4fi7/4RRbfcsu4vnDR8Ct1+tV08KuJKFEbp6oR1RKpZcVklJ2dzYIFC1iwYAEQci/HXpdosepms3nK/WsSFYmLBaIaSWNj1SMFE6lj1eVgIvlP4euvX0LiNm4MveckEjdtjY1V7+/vx/b004gvv4woCHSp5sTnP/IRMgcHL2FxDgclwWDcT/ojSev4eYg9EtfX1UVLZSUAFquV3P5+6p1ONu/axaDZjOPll7FK5lJHRwcejwePx8Mbb7xBeno6JpNJWfiXl5frdl20ROL0mmeCwSCi3w+A8NnPwic/OaGLKhMVNTU1bNiwgZGRkTBjqaWlhebmZpqbm3nrrbfGkTHTDSZyOp34/X4KCwspKSmZ8uskNTUlN2AaK96FupORobqaquZmjK2t7JYWITe+9BJdRUWIFgtNVVUzunhUflBXV1drgsTpEVLAH/+I+OqrgKpx6pgV2di+cH6/n8bGRgVbkPGrQ4cOcejQIcWFlk/HamtrNesLJ6u9vZ3e3l6l5cF0pTsSp9F4LC4uZuXKlaxcuZJgMBjmXmoSqy4hcbYEROJigahOVJMOJurqQrjhBgSrlYuSoaB13x6IHRKnNaIaK+Xk5LBwzhwWvvQSQeB//uEfOLp8OUWdnQxmZTGYnX0pmMhup/AnPwnbKOt9H0WS1o2MQR8kziYhcZVNTeT294f+TtpEZT3yCHPnz2euVNcnx6rLp/0+n48LFy5wQXoO5eXlhRlLsQwm0pK00GueCUNUb74ZpnhKlZ6ezqxZs5g1axYQMrXUBIbcvy8SGSP3hZuQpN2/KPcQ1CGvIKnxSm7ANFYiOmWelBSGMzPJ8flYefgwhmAQpOJR28qViAlQPDpd6eWUDd14I24ZifviF6G+/ooXVI7jrqurY9OmTQwNDYU1hWxvb1fwqz179iix6rJ7qUWsuhqJ02Jzl8gpcbJkbKe6upr169crserydWlubqalpYWWlhbFvVT3hauqqgo3MGQkzmBg+I47yO7vp/LqqxMOiYv16deVdMVgIrebjqIiOq66igNXXaV8GK1GI476emrdblITBInTEkmK9Txj8HholFLWrnvtNeafPk1TdTVWiwXbvHk4a2vp7u7myJEjHDlyBAjhV/J4iVcwkcfjeUcjcQCFhYUsX76c5cuXEwwGaW1txWq1IooiDoeDvr4+jh8/znFpwV5eXq7ML1qSMWokTgvSQq95JlaIal5eXlgwkZqMsdvtUyNjVLt/8XOfg8pKhMceCz0Apn3jJTUZJTdgGqqnpydxkDi4VDz6s58BIQTHIM8KUvHowi99iYVS8WikppDR8CtBEGJaPKo1EqeXUxaGqH7iE1N6jczMTObOncvcuXOB0H2nxq/UseqvvvqqJrHqiYjExQJRvZwixaqr3cvu7u6wWPWsrKxL7uWFC5R87GMQDGJNcCRuprUoGBdM9PTT2L/3PayCwLl58+iVxsOBNWs4sGYNGUNDNDgcCKdPIyxYoCt+NVEl4olM32230VpRAcGggl/LwUTX3nsvwzfdpPSFk2PVZfxq7969ynWUF/6VlZW6XBf1sy8hkbjPfQ5uv33Cu2qDwaAEE1199dWMjo6O6wvX1tZGW1ubEkykFRkjz49apRrrMc+APvWYY8mYaMFEMhkDjKvrS/uf/1F2/325uQqiaj50SMPdf1ITVXIDpqHUSJwWNTm6OWVWK/T3X9EpC4tVH1M8Ggm/imXxaFtbG319faSlpVFXVzft19PbKdPyQV1QUMCyZctYtmyZ4l7K18XhcEwvVt3vx79rF3apR5agUQLYOx2Jg1Cs+qJFi1i0aJESqz7WwDhz5gxnzpwBoOiLX0QQRZwSUpZISJyMqMqnfDNZWbW1zDt7lnlnz5IaCLB/7VrqbTYK+voQBYH+3NxQMFFbGzzxhBKrLm+W8/Pz4/r+/X6/phsw3eaZzk5wu6lqaiJHRuJU80wGjMOv5LFitVrD6vxk/EptLMUqmCgRkbgwRHUaSByEgonkoKGtW7dGDCaKRsYIgjCxYCIZiZOSM80mkyabaz3mmUAggN1uB/QtPZlMMNGePXtCwUQ2G8LatQiiSKvRCEiIqs+n6TyT1MSU3IBpKC0nRd2QuKEh3AMDAAjf+x50dk6peHR4eDgMv4p18ag8KTY0NGiCxOnllMUCUVVL7V6qY9XV7qU6Vt1gMIxzL5X0KxmJS0lh+FOfIsfno3LdOk1s8b+XlDhZ6lj11atXEwgEaGxsDF2Xw4dxeb10FRdzeOVK5WfeXrOGzuJiBFGk3uUibQYjcerxmChIHB6PEohz1YEDLDx9mqDBQEtFBdYVK7B99KM4IsSql5eXhxkYejeKbWxsZHh4mOzs7GkjcXrNMwBiaSm43Qhr1oRuwCtcVCVWfckSgsEg7e3t4/CrU6dOcerUKSBkEMqGn8lk0sQEHR4eVlKNEwmJ0zpFVa3pBBNFJGPUSNznPw8VFVgefVQTJE6PeUZrRHWqGhtMJNeLhQUT1dVhlQyytJERQFWLrtXuP6kJK7kB00iJisTZ7XaCwSAlJSUUvec9U36djIyMqMWjsnupafHowYNAYoUUxAJRvZLUsepbtmxhYGAgrH7M6/WOi1U3mUwIvb0I3/oWZW1tiNINZrbZMGhoi/89psTJkrGd2tparvV4GH7gARwNDRxauZJzUsuI1ooKWisqeHPDBtJGRqg/cABBSpnTC7+aqLT+rPVA4no/+UnajEYFiQMwAJUtLVTecQfXbNvG6OhomLHU1NSk4Ff79+9XXGh54V9dXR3zYCL5FN2sQeG8XvNM2HjctAkmeZ8YDAbKy8spLy9nzZo1+P3+cfiV1+vF6/UqwURq/GqqwUTqFNUkEhdZ6mCiQCAwri/cZYOJjh4l/cMfDiFxeXmXEFUNkbhYzjMwcxsZFxQUhAcTPfkk1l/+EpsgYDeZGJGMI6U/pqzp7v6TmrCSGzCNJCNx6enp1NbWTvv1EhmJg8sXj045Vl1alfmbmrA/8ABkZCDcfTf88z8nhFOmNaI6FWVnZzN//nzmS+lXcl84+c/AwADnz5/nPMDdd5Pf04NfmlSq5d1pAiBxakR1JqfEAVBVRcbwMLMvXFAS+ZYcO4bFakUUBKwWC335+Yj9/YivvQZcilWXF/6FhYVxe/t+v19TBCcuSJxEAYxdlaWlpY2PVVe5yl1dXTgcDhwOh4JfqY2lWAQTabm41mue0TpFVSYq6uvrowYTjY1VV/eFu2Iw0RgkTtDIMNPD6NMaUZ2MUlJSJhdM5PdT94lPIFitBKSHvoKoJsA8AzOLtIgmg8GA0WTCuG8f6/bto8Vo5N/uuouU0VHqnc7wb47jKd7fm5IbMI0kb2SSSNx4TTZWHS5fPOqur2ckI4Mcn4+KEycSximL16R4OYX1hQsGQ+7lq68ivvYajoYGJaAA4NXrr+fYsmWhJt1WKw07d5Kxdeu030OskTitIvn1QOJs0r0x9+xZFpw5w5LjxwkaDLQvWhRyL6UQj7Gx6iUlJUoaqclkIisrS4M3NjF5PB4FiauUirqnKl2RuJKSSSFxIMWqL1zIwoULgcjBRGfPnuXs2bNAKF1O3iSbzeZpBxMNDQ1pisTpfSKjVYrqWE0mmAi4fDCRGom76y4wGrE88giMjiaE0aclojpdRQsmslqtiGfO0DM0hN1sxq7a4A5nZHBw5UoEUaRkhqeRaj0eZcVkrlHNM3aJHGpwOkkfHQ39vRa7/6QmpeQGbLqSnbIDB4BQ8agW0guJa29vx2Aw6BodPdlYdaV4dN06BKsVq9y3RxRDqY0J4JTNdCQOUPqJVaWnc81//icjaWnsvfpqdm7ZQuroKP60NAWL27duHSl79lDncikL/3Gx6nGU1pHoeiBxPbffPg6Jw2DAAJQ/+CDl69axdt268bHqHo+CXx08eBCDwUBNTY2y8K+trb1U1xcDqe/rRETiLJs3wxTvk8sFE7lcLrq7u8cFE00nVl1GxouLizUJndBjngH9TwmmHEzU0oLpc58jc2iI3vx8ZTyaDh9OGKNPS0RVa4UFE/l8eL/4RayCgCglkmIw0FFWxp9vvhmAos5OhKNHEaTY+5nQF04trVMbIYZzjWr3Lxt9Cn6o1e4/qUkpuQGbjlRInENC4ix33ZWQSJyejvlYTcS9VBePpkjxummjo3QXFFDY06Np8WgsnDKtUxtjKsk1TR8dpV9y7JcfOcLmHTsQzWZEQUC0WOguKlLwqx07diix6vLCv7i4OC4LADUSp4UrqTcSV93YSPbgYOjrEVZl42LVBwfDDIyOjg7cbjdut1vBr9SpZFrHqiciEheL8TiZYCI5Vl0dTFRVVRX9usQIidNjntEaUZ2sogUTyQRGWDARkHL//dR4POT29QFQ1diYUEjcTCQtIslQXU1pRwelHR2YbTbOzZ9P6ugo1+zZg91sxl1bGwom6u7m8B//CITWKvL8UldXF5PT1MkoFrWvMZ1rtm3D//zz2A4fBlQBHFrt/pOalJIbsKlKNVJcDQ2MZGSQ29eHMYGQuJl6IjPOvXzyScRf/hLRYsEhfdYAR5cv5+jy5ZS2tyNYrQgXLmBauzaum8lo0hpRBX1T4gSrlZz+fhadOsWi06cJ1tbSeegQVmnhHylWvbCwUDkd09O9dLvdjIyMkJOTQ0VFxbReS08kziYjcevWwebNE76oWVlZzJs3j3lSeEd3d3eYgdHf38+FCxe4cOECEKrPVONX04lVVyM4WjxH9EbitByPY6VZMJEaibv7bigvR/jhD2FkRJMFU6znGRlRzcnJmTaiqoXUwUSAEkxkfeMNbCdP4i0txaWqU2utqODZW29FsFqxiCKlu3dj2Lx52u8j1kiclvN6rJE4UTLKGhwONu/cCTt3MpyRgX3VKsRvfQvRZguLVX/zzTdDZIyqrq+iokJ3w0/LNZRec03jVVcxfPIk2WlpVP3oR1BdreHiIanJKLkBm4rGjBRlkZpE4jSXwWCgwmSiQioePbVgAX/88IfJ7u+nxOulsbqajrIyOsrKONDYiOGHP6SmpkZZ+IfFqsdRiZgS13P77bSXl2MIBDBLDrZsixsef5yS8nJKysvHx6qr8KsjR45w5MgRINSPS90XLlYL30RH4oRNm6aMxEFo47t8+XKWL19OMBikpaUlDL/q6+vj+PHjHD9+HAiPVW9oaLh8XzhZ0orMfuFCKEU1QZE4PdHrKQUTGQwI//ZvmNvbGSkouDQeNW6cGssTmZmMxIEqmOjoUfjZz+gqKsIqCPzvDTcwmp6OPy2N83Pncl4iNAr27kXo6VE2y3l5efH9BVSSUxuLi4sTColTr6EAMBjIGBlhzn33MeeGGwDC+sApsepWq3J/ycFE8p9YBxP19vZqmmqs11yjjMc5czB86ENTf6Gkpq3kBmwqGjNSZPemo7SUQ1LxaPEMR+JaW1vx+Xykp6drhuDocSLjkFzLRSdP8t5XXmEgKwu72Yy4ZAni1Vfj7exU8Kvdu3crserywr+srEz3RYDf78fhcACJi8RlXQaJgzGx6tdey/DwcFhTyNbWVpqammhqamLv3r1KGpq6L5xW1yWJxF2SwWCgsrKSyspKrr76akZHR3G5XGF94cbGqo/tCzeurk99InPDDbBmDcKbb4bujQRAr7VGVKeiscFEgUAAj8czPpgIOPThD2MIBCjs6gKgtKOD9OHh0Atp2Dg1FvMMJA4SJx+rFnV1UedyMZqeTurICLc9+SSOhgZEiwVnfT09MC5WXZ5ftOyDNxUlKhJnnwASl5+fHx6r3tYW1hdubDBRaWlpWL8+rckYdQmHFnSH3j3iZvx4/DtQcgM2FalGwEBWFp7qagAaa2porKkBoNjrDRWPGo3RY9XjKDUSp8UJkR4nMpGcsuyhIeafPcv8734Xtm2LHqt+/jwQeoir4+6ng19NVC6Xi5GREXJzczFK3eenKl1T4oqLQ0jc1VfDli2T2lVnZGQwe/ZsZs+eDYTwK/V1UbuZEHIv1fjVVE9TBgcH8Xg8QGIhcbFAVCMpLS1NqdPbunUrAwMDYbHqnZ2dOJ1OnE6nEquurh8r3bUr5JqOPf0/cQKefz4h0GstEVWtJPcTUwcTOV5+Geu//zs2QaDNaKSrpASA9vJyfvjAAzQ4HJhFEctf/oLxxhtn5OnS4OBgQiNxJoeDOrebOreb9Xv3MtLQgPNvf0OU0Gt1rPq+ffuUgCl1XZ+ewUSJiMR5Vq9m+ORJctLTqZwgEmcwGDAajRiNRtauXRsxmKijo4OOjg4OHDigBBOp+8JNd92j9Sm6HnNNrBDVpKam5AZsKlKNALvJBCkpFHZ2svzoUURBwF1bS2dJCYe6uzn0/PNAhFj1OBePaulK6nUi0/3MM3ScO4chEMAkp8SNWZVFjFVX4Ve9vb0cO3aMY1Ixu9FoDMOvMqT6Mi2V8Ejc5s0wzXTPvLw8lixZwpIlSwgGg7S3t49zL0+dOsWpU6eAS7Hq8kZ5Qu6l34/95ZcJBoOUZmdTqAEa9E5NiZOVnZ3NggULWLBgAQCdnZ1hG+XBwUHOnTvHuXPnACjo60N43/sQrFbK29ouIXHyeJzh6DVoOx5jpczMTOYMDzPnf/8XgO78fH5x990MZ2WR3d/PQE4OF2fP5uLs2bx66BC5Z8+G9YULi1WPoxwORwhRLSnRBFGF+CFxAOmPPopl9mwskrEkx6rL46W7uxu71Cpi+/btSjCRuq4vVvecnGoMiYXEKRuZOXMwfPCDU3qNyQQT7d69e3rBRH4/wd27EaW5ypJAydfqFFWtENWkpq7kBmwqiuCUzT1/no27drFx1y6GMjNxrFwZsXhUiVWPY/Ho6OioZqlUup7IzJ0L585RU1RE1m9+c8VVmRKrXlXFNddcw8jICC6XS8F8mpqaaG1tpbW1lX379ikutHxdqqurNXEvtXTK9MIU1IiqFo3F1TIYDJSXl1NeXs6aNWvw+/14PB5lsnS73eNi1ccaGOPcS2lVJi5ZAlddhXnXLvjZz6a9KtMLidMSUZ2OiouLWblyJStXriQQCNDc3KyMF6fdTk9enhJ+IyvX58NdUxPqKTPD0WtIIARHZfQNZmcznJVF+vAwX370UbylpUoaqWPu3Iix6vJmzGQyTayuLwaST3YTCon7wx+wS3jhlVLiwmLVg8GIfeHUwURFRUVhxpKWwURqJE4L4iaRkbiYBRNJ80zb0BB9d99N2sgIddddB489lhD4dcI8+/5OlNyATUVXcMoyh4cnVTyam5sb5pLFunjU5XIxOjpKXl7etJE4vVwyUD08li0LpcRNUunp6cpnDNDf3x92Xbq7u8Ni1TMzM8OuS0lJyaQ3ygMDAzQ2NgKJ1ThVLyQOUOK46+vrw/rCyQv/9vZ2PB4PHo9HiVVXGxjGPXsULE58//sBsIiiZquyWCNxWiKqWiolJYXq6mqqq6vZsGEDI7/7Hc5//udQ3x6LhRYp0a4vP5/fffzjpI6OUu90Yj51CsucOVRWVs6YvnCytEZUZcUciZPea4PDQbrfT0VrKxVtbazzePD/x3/gUgXgqGPVZfxqbF2fXsFEiYjEuVevZuTUKXLS06l49NEJp8QZDAZKS0spLS2NGkzU1dXF4cOHOSzVPFVVVYX1hZvOs1brxbUec02sENWxmk4wkclkCpExqt2/uHYtEBqPaU5nMvk6qSkpuQGbqrZto+uZZ/DKSJycEjeF4lGfzxeX4lEtEBy9XLJYpDbm5OSEuZednZ1YrVbFvRwaGuLs2bOcPXsWuBSrLruXuVKPrKjy+7H/+c8Eg0HKcnIouNL3T0B6IXHxLJwf2xeuu7s7DPPx+XxcvHiRixcvApDb349wyy1UNTXRUVZ2CVHVcFX2947EAaTX1GCxWrFYrQRffZUffe1r9OfmMuv8eVorKugpLMQmCNja29n+619Hj1WPo2QEp7S0VDOjSxckTtV8HgizxFOloCGTycSWLVuUWHV5vHi9XlwuFy6Xi127dinBRPJ1iVUwUXd3Nx0dHRgMhoRE4oS5czF84ANTfp3JBBPJsepTCiaSkTgpPTORkLhYIKpXUrRgInVfuHHBRDU1CC++iKWmhurGxnDjPUGSr7VGVJOavpIbsGlInDMHzp2jtqiIzAkgcRC9eFQe/JcrHtUqVl1LJE6vE5mWlhb6+/tjgsRB6LqUlJRQUlIy4Vj1ysrKMPcyLP1KRuKWLoXVqzHv2AE//WlCIHFaIqpaqLCwMLwvXGurMl7soogvJ4cTS5ZwYskSAFL9fnZs3owgipjsdjI1OoKNNRKn5aQY6xOZVqOR/txc0oeH+chzz5Hq99NRVoa4YgXiJz+J3eGIGKsuY3HxCiZKRCRu9A9/wDFBJA5Userz5wNMKphIy1h1NRKnhYmYyEgcjA8mkvvATSSYyGKxRDYMpHmmdXgY3113kT48TO2WLfDjHycEEqf1eJyK1MFEECJj1Nelq6sLp8uFc9Uqdq5aRebgIMNSrXhJRwdBCLUfmuH4tdaIalLTV3IDNg0pD+rly6c8WtTFo4BSPCqfxHi9Xu1i1f1+BrZvV5A4Qfo3pyO9QwpMJpMu+MxE3Mvm5maam5vZu3evgtEJgoDgcFD18Y9jCAYRb7kFSCwkzu12Mzo6OuOQOJD6wlVUUFFREXIvf/c73N/6FlZB4NCqVQzk5DCans7ba9fy9tq1pPj91LrdmE+exGKxUF1dPSP6wsnSGlEFfU5krKrGqWl+PxgMlHV0UPbZz3LVtm1KrLq6rq+zs5POzk4Fv4pHMJGWJ7u6IXGrVjFy6hS56ekYH3ts0o1T4xVMpPUpul5IXCwQ1UjKz88fF0ykGEsTCSZ65ZXISJzLlTBI3ExsUZCTk8PChQtZuHAhEAomsv7+94g7d2IzmxlUbV6eu/VWCru6QmmkoojZ5WL6nEtslMQPZ56SG7ApKhgMxuThMbZ4VO1e2mw2+vv7pxarLq3KbPn58JGPUNbWRsGSJQlxIgPxf3hMJFbdZrNhs9l4Hcj+2teodbnwlpZCIECD3Z4wSJzalZzJSBxAWk0NJrudBoeDwytXArBp+3Z6CwoQBYHOkhKcDQ04OzrY9R//QUZGRhgWV1paGtffUUbiysrKNEmu0+NEhj/+EdsrrwAgSPfK2BWZOlZ948aNoVh1lYERj2AiNRJn0gDT0h2JmzcPwzRXvNGCieTrokkw0RgkTkggJC4WiOpEpA4mksmYsX3hxgYT1TQ3Y960CYsoKoaIOQGROK0Q1VipuLiYVfPns+quuwgYDLx8880cWbGC3L4+BrOy6C4q4uiKFRxdsQJEkcpf/jI6GRMnqUs44h30lNQlJTdgU1RzczP9/f1kZGRQI/X+ioUu5146nc6JuZfq4tGbbgKkhVOCnMiMjo4qKXEzxb2JGqt+4AD2xkYGcnK4INUwkZLCrz77WQSrFYsoYrLZyE4AJG7GhxSAsiprGR1VkLj1b75Jqt8PQGdxMeLKlYh33onNbmdgYCA8Vr2gIMzA0Aq/mqi0xA/1OpEZfd/7sJ85A6OjCJ/9LDz88BUvaGZmJnPmzGHOnDlAfIKJ5NeuqalJInGSIgUT2Ww2hcAYG0yUlZWl1I9ZLJbxseqS0dcyMoLv858nfXiYus2bEwaJi7fRJ0sdTBQ1Vr2iAndFBW9s3Kh8GH15ebQajZS3tmKY4UicPB61QlRjKmmeSfF4aCsvB2Dr66+z6ORJHPX1iBYL4ty5tJSWRidjpLq+eAQTxTLVOKmpK7kBm6L0RuJgvHs5OjqK0+m8vHtZW4vwwgsI1dVUNzUpxaMWjZ2yWJ7IqFMby6WH30xSWKy6KOK/9148tbW8fNNNtBmNEAyG+sKVlHBo9WoMgQDV+/dj9vuxWCzU1tbGvS+cLDUSp2WdTKybdIuPPgqAyW5XNl8YDBR3dbHy859n5bZtBINBmpqawgyMnp4ejh49ylGpxqaioiLMwIi1e6mlK6nXiUwYonrbbZdWv5NQPIKJEhGJi8V4vJzU+JU6mEg+3R8cHIwaTCScPk3ORz8aMvrWrQOk8ZhASNxM2YCN1bhY9aeeQvzxjxEtFi7OmqVgcW9dcw1vXXMNeb29CKKIcO4cwsqV0cmYOCoWBFHMjD5pnhn82MfwSIa7IIqkj4wwSxSZJYrw2c/S9+53h9WP9fT0XCJjXn89bsFE8n2tR6pxUhNX8kpMUTPhQZ2WlhbRvVQXjzqcThyrVrFj1SoyhoYYzszEEAiQ392tefForE5kEgmJo6qK1ECAOpcLn5R6+LGnn8afloZVELAJAu3l5XgGB/Hs2cOePXvGx6objXH7PeVJMWGQOIBt2xBtNujruxRSAONWZXI/serqatavX8/IyEiYgdHc3ExLSwstLS289dZbpKamhuFXVVVVmrqXXV1deL1eDAaDUgM6Hel1IqP1eIwWTCRfl8sFEwmCQG1t7eVNMBmJk3oxJSISp9V4nIwiBRM1NTUpp2PjgomCQaruvBOzKGKTTnQTCYnTGlGNpQrr61l+9CjLjx7l9S1b2HPttVQ2NpLb34+joYG+/HyOL13K8eZmeOyxsFj1hoaGuPWFkxWLVOOYGn0A27Zh/8UvCDqdlLa3U9jdfekfkeaZPGDx4sUsXryYYDBIR0dHmLEUKZhITWDEKhwjFkFPSU1fyQ3YFDQyMjLjkDiI7F6Kzz03rng0mJLCrz7/eQq7ukIumdU6o4tHE8opk1ZlzX4//bm5ZAwNYbbZSA0EmHvuHBgMdM+di+13v0OUkJJxseq5uWGpZHouvBKxb8/o6CiOwUEAhG99C3p6JnRR09PTsVgsyumTz+cLMzC6u7ux2+3Y7Xa2b99OVlbWuL5w05H8WdfW1mqC4OiVSBpr80kdTKTGr+STmI6OjnHBRLKBMS6YSEbiRkfp/9znQilxmzYlkbgpKCUlhZqaGmpqasYHE504QavPR1N1NU3V1crPnF64kEBqKoIoUul2Y5jBSJz8WWuFqELs5xk8HmzSvbHm7bdZdvQoo2lpuOrqEJcuRXzveyPHqo/pC6c3FqdG4urq6qb9eroYfYDVaASnE2HJEnjmmcteVIPBQFlZGWVlZVx11VVRg4kOHTrEoUOHgNgEE6lLOJL1XzNLyQ3YFORyufD7/eTn51NWVhbvtxNRinupKh59+uMfxyYIFHZ20ltQQHdREUdWrODIDC4e7e/vT0wk7rHHAAnBCQRCfyetygq/9z2WrVjBMqmuLyxWXcKvTpw4wYkTJ4DQaZQav4qle6nlgk8vJC4MUX3ve6eExEFo46vuC+f1esMCcAYHBzlz5gxnpJOUoqKiMPcyJydnYv+QtCoTpTTARDqR0RuJg+jBRPJmub+/nwsXLnDhwgXgUjCRuaMD4ctfJr+3F+vVVwNJJE5LhQUTeb30feYziGYzx5cuxTprFgDuujrc0gI7u78f4dAhBKnuUq++TxNVQp3ISPPMwD/9E43Shlc+/U/z+zHb7Zh/9CO2btvGwMBAmLHU2dmJ0+nE6XSyc+dOMjMzw/rC6RFMJJ+iNzQ0TLuEQy+jD1Rm8IYNID2PJqpowUTy3B+rYCK3283IyMiMTDX+e1dyAzYFJUrjVODSqqyxkebKSgA+8MILVDQ342xowGqxYJsz54rFo1VVVXH5XeUHXnl5uSYc+0xC4iBCrLrUFFKeLBsbG2lvb6e9vZ23334bg8Ewzr3UqgZRjglPSUnRBMFJVCQOQteltLSU0tLSsL5w8mTpcrno6uri8OHDSqx6VVVVmIER0b2UVmVBjwfbV78KubkI998P3/hGQpzIaI2oTkUTDiYCuO8+yltbGZKi1OsdjoRB4tSI6kxH4qiqIq+vjyUnTtBmNGKdNYs5Z88iiCKixYLdZGIgJ4dTfX2ceuklIEKsehyDGLRG4vSaZ+w//zlBpzOUatzTE/r6mHkmOzubBQsWsGDBAiD0nFcH4AwODkYNJhIEgdxc7dmYRDT6tEZUxwYTyfVilwsmkseKxWK58vNXNvokI1cwmWb+evXvTMkN2BSUUClx0qqs+QtfYCAnh4yhIWo8HlICAWZZrcyyWuEznwkrHrVareGx6lLxqHrw6+VeJiISNzIygmNgAADh29+eMBIH4U0ht27dGtG9dLlcuFwudu3apfSFkyfLSfWFGyM1EqfFKZteSJwevWTUfeE2btyo4FdyPUxbWxtNTU00NTXx5ptvkpaWphgYFosl5F6++KKyKmuurFQQ1ZqjR5MnMlNU1GCinTsR9++nqaoqFIQjaceWLVycPTuEXosi1bt3k7J587TfRyyROK3GI+iDxMlBTwvOnGHpsWOseftt/KmpeJYtQ/zhDxHt9oix6mPxKz379bW0tNDf369JSpyeJzKijMQtW3ZFJE5WcXExK1euZOXKlQQCgXEGRqyDibRONdY7jVRLRFWtgoKCccFElyNj5GAii8UynoxRHb+Kn/401NYi/OIXkJKiUUFcUloouQGbpPr7+2mSRnJCoAoQOpFpbYWWFsw2GykyEneF4lF1+tXAwEBYU0i5eFQe/LEuHk0kpywMUZ0GEgeXdy/l6xKtL5wgCBOLVZedMolDNycQEhcLRHUiGtsXTo5VlyO81X3iXnvtNXJychBOnMC8bBkW6VQAVKmNCXAiAzNvAzZWSjDR/v3wq1/Rn5PD/quuYvemTRgCAQKpqThMJhwmEzu2bCFzzx7Mra1hdX0zxSVOdCTOLJ/+GwykBgLUf+Mb1G/ZwiZgaGgoLFa9vb0dj8eDx+PhjTfe0D2YSD5l0CLVWK95BlT3yIYNILc9mYRSUlIiBhPJc38sgonUyLgWSNw7pfZVLXUw0bp16/D7/ePImLHBRLW1tSGD3O2m5vbbSfX7GcjKuoSoHjqkbUFcUtNWcgM2Scluu9Fo1KRnkF7Fo6JUnyLcdBO8730TLh5ds2aN0hQyWvGo7F7Kp2Naxap3dnbS1dWVcEhcLBFVtXsZKVZ9Qn3h1FIjcV/7GuTkYPnqV+Gb30wIJM5utwPaIapT1dhY9fb2duV0zG6309/fz0mLhZPSxit9eBhAaeaZNTio3aqM2JzIaI2oxlTSaiunvx+/dIMtPnGCjTt3hnr2CIISTBQtVt1sNscEv5qIEhWJs/385+B0Ut7aSkFvb+jrEY5fMzMzmTt3LnOlTUNPT08YFqd3MJGWp+h6zTOxQFQjBROpr0tPT09YMJEcqy7P/ZeNVY8REqeH0ReL1MbJKDU1FZPJhMlkYsuWLQwODoaRMV6vVyFjdgMZ99+PyW4nx+cjmJJyCVHV8vg1qWkruQGbpNT1JtOVnkic0+kEQLj+ephkcIi6KeSmTZsu615qGasuf9a1tbXjNw5T0DvNKZtIrLq6L5zsXsqTZdW+faR86EMQDNJUVaUgqtXHjiUMEqfleNRK6r5wSqz6b3+L+LvfIQoCnpoaRqT7+cjKlRxdvpwaj0dJJK3dsEFX/GqiSlgkTlpMClYrJZ2dlBw8yKpDhwjU1dG0Z4+SRjouVh2orKyMSzBRc3MzAwMDZGRkUCP1HZqqdEXiysvB6cS8fPmEkTgI4VfLli1j2bJlSjDR2L5wsQom0hqJ03ue0XI8jlVubm4YGeP1eseRMWNj1eX5JSxWXY3E3Xkn1NRg/vnPQzdfAhh9WiKqWigrK4v58+czf/584FIwkbhvHza7nf7cXM6rTkSVWnQtj1+TmraSG7BJSGsXRC9Uwel04vf7KSgooLS0dOovJCnm7uUYJE7QqHeFXkic1ojqRDWZWPUdO3aQNTSE+UMfQhBFvJJzabbZkkicxkpNTaXBYqFhxw4279jB2blzee7WW0kfHqagp4eOsjIlLW632036D34QVtdXXl4+I7A4rXvJ6IHE9X/84zRJK11BOuWQV2UpP/4xNXV11NTVsWHDBoaHh8MMjJaWlrgFE8mfdaIicZZrrwUpXGCyUgcTrVu3jtHRUdxut7LwHxtMJMfjy0h8dXX1xD8zvx/XSy+FkLiMDMqn2VoC9JlnQP9nnzqY6HKx6p2dnUowUXV1NeaRESw/+hF1TU2MZGfHBInTy+jTYjzGQkow0blzBO+5h+aKCkSLhZ0bNzKakREeBgbTP35NShMlN2CTUGdnJ93d3aSkpCRU49RYpzZezr10OByTcy+lVVnA48F2//2QnY3lK1+Bb30rIZwyrRHV6eiyseoXLjCYmcmZBQs4I9WXAfhycji1cCFmUSQnAZA4LRFV0OdERo7lXnD6NO//7/+mu7AQURAQFy1CXLx4XKx6Xl5emIERD9QyGAwq97YWvWR0Q+K6uxUkLv8ySByE6vpmzZrFLClCva+v74rBRHJfOK2DibRcXOs1z6gRVS3mR1lpaWkKfgVMKJhIjcVFjVWX5hrr3LmwYQPCgQMYzOZpOwB6zDPxRuJgfKz68PBwGBmjxKoDb952G2kjI5S2t4PBQJHXe2k8JoDRp0fQkyaqqsIQDFLV3Ez24CCvvetdGAIBTBKqr/6+pOKv5AZsEpJdkLq6uiQSF0XR3MsJxaq7XErxaFN1NYPZ2WQODiaROA00Llb9mWdofOABrIKA1WLBVV8PBgPu+nr+WF8PwSBVTU0Ix48jSPipFnV9WkprRFWPExk++EElJU52JQt7elh+9CjLv/UtgrfcQktLS5iB0dfXx/Hjxzl+/DgQqndT1/XFsi+crKamJgWJq1Y12p2KdEXiyspCKXGTROIgtPEdG0w0NgBnLH6lrh+bajDRyMhIEom7jCYSTBQtVt1sNoeMMZUDIL73vUAIUdXKAYj1PKMloqqVMjIywmLVe3t7EV95BfG55xAFgb78fFqkm6yrpIQfffWrShqp8OqrFL7nPdN+D7Ew+rRGVGXFxOyLkEZa63aTOTQU+nutjl+T0kQza0U1UyWNFFsCInE+n4/m5mZAO3RoMlK7l1u2bGFgYCDMJVMXj+7iUvGo/HGY5NTGBEDiZoIrOVGlVFdT63Yrf57+xCfI9vlYcvw4osVCm9FIU3U1TZ2dvPmf/xkWqy4IApWVlXHH4rR0JfU6ken//e9pkhbsChaiWpUZCNUdVVZWRu0L19bWRltbG/v371fi8dV94SabSjYRqfHDRETihGkgcRAeTHTVVVfh9/vD+sJFCiaS+8JNKpjI78f18suhFNWMDMouF2owQb1TkThZVwomGherbjQivPYagsVCeUvLJURVFDV1APRAr2cqEgdSMFEgwNIXXyQItJWX89tPfpKB3FzSRkboz83l5OLFnFy8GPbvp/TixTAyJp594dRyOp1KamN5ebkmrxkzs+8yRp9mx69JaabkBuxKioDECV/+csIhcRUVFXFH4iDkXkYrHhUdDgZycsKKR+0mE//9/vcjWK0IokjeDEfitERUQd+Qgrnnz/Oev/4VgN78fMRVq7Ddcw9Wmy0sVh0gJydHwa8EQdCtL5ysQCCg2YJPzxMZ28KFcOYMxtxc8n71qyte1LF94fr7+7Hb7UrCYldXF06nE6fTyc6dO8nMzAyrH4uKX01SWtZ/6YXEeb1ezRFVWXKgTV1dXdRgosbGRhobG8OCiWQsLmIwkYzEzZsH69cjvP12wiBxgUBgRmBaEwkmamltpWXJEt5asoQUqd41p6+PnsJCcn0+UjR0AGIxz0Bi1L4CyrGqAUgfGWEgN5cUv58vP/oobRUVIfRaEPDU1Y2LVZfr+gRBoLa2Nm4bTa1LOGJu9m3bRvD55xEPHgSkk13Q7vg1Kc2U3IBdTqqR0lRTw2B2NlkDA0kkTkONKx6trOTC7Nns2LQJUlIYys7m2LJlHFu2DADjW28hDA1Fj1WPo+QHtVaIaryQOAwG8vv6WHrPPSzdtk1pCqlOJevv7w/rC1dSUhKG+cTavWxqamJwcJDMzMxpIzh6nsgo43HxYrj++kn/fE5Ozjj8Sj6FEUWRwcHBqPiVIAhTilVXp6hqUf8VDyQu1s+JyQQTvfrqq+ODiV57TZlrbAmMxGkxHrVUxGCi3/0O8c9/RhQEuiXjqD8vj3+/806yBgYw22whLM7hYPqRHNpLa0RVVsyROOka1Lrd5AwO0uBw0OB0svniRQbPnMHucinPso6ODtxuN263m927d5ORkRGWrKxnMJGWm129zL7mq69m4ORJMlJTqfn+96G6WkP3NimtlNyARdOYkWKVBl9VYyMGefQkkTjtJBePNjXhy8mBlBQKurp43//8T8gls1horqqidXiY1n37IseqT6EppJZKxL49vt//nuYzZwBV49QxqzJ1U0glVl1V1+fxePB6vXi9Xg4ePKi40PJkWVdXp7l7qUZwpnvN9TqRicV4LC4uZtWqVaxatYpAIEBzc7NyOuZyucbhV5WVlcp4mVCsut+P86WXQimqmZmUanDS+U5H4mAKwURdXQjveQ81Hk94amMCInHxfAZfSbm5uSyaM4dFn/0sQeDHX/4yvYWF1DqdtBmNDGZnXwomstsp+slPwoylHKmfZjzlcrlCiGp+PmWTbCkTTXoiceoG3QA8/jhZubnMmzePefPmAdDd3R1mYIwNJsrPz1euSSyDibRONdbL7FPGo8VC6q23Tv2FkoqpkhuwaBozUmT3xmax8Oh99yGIImZRxPLaaxRMwckeq1igCl6vl56enlAMtoapVHo5ZYIoYpH+8Prr+GbNwvbHPyp9e8bFqmdlhWFxxcXFurlkWiI4uiJxCxbAmTNU5OaS9+tfT+iCyvdTQ0MDmzdvZnBwMAy/6ujoUPrCvfHGG6Snp2MymZSFvxbupZaLa71OZGKBqKqVkpKi4FcbNmxQnPJIsepvvfXWuFj1ysrK8MWztCoT58+Ha65B2LcvicRNQVcMJvJ4aC8qon3NGuVn0oeHObhqFYLVSo3HQ+rfIRIXa/y6s7+f3sJCUvx+Pv7006SNjtJYXR0y/ObPx1VTQ1dXF4cPH1Zi1eW6PrkvXDyCidRUS6IgcYHnn8cmIXGWKEafWoWFhSxfvpzly5cTDAZpaWlRTsccDge9vb0cO3aMY8eOAeHBRCaTSbMTb/kZUl5erskmLx7J10nNXCU3YNGkGgHD6em4pOjo9OFhfHl5nFiyhBNLlsC+fZReuBDmkumRSjYRqZE4rRqI6umUWcY4Zbnf/z6Llixh0ZIl42PVbTYGBwc5c+YMZ6QTnaKiorCmkLF0L9VI3HRT4uISUrBkCbz73VN6jaysrEm5l+pYdbPZfOW+cGM0MjKCy+UCtEHi9DqR0TpF9UpKT08Pi1X3+Xxh16WnpydqrLpw4QLF//iPoZS4G28EJEQ1QZA4LRFVrTUumOjpp7E/9BCiIHBi8WKGsrIYychg16ZN7Nq0iYyhIUx2O8Lp0wgLF1JWVhb3ABy11IiqVgs+PfBr8eGHAahzucgYHg79Gx4PtR4P1957L8M33YTD4VAW/q2trTQ1NdHU1MSbb74Zt2AiLY0F3ZC4deumjMQZDAYlmOiaa65hdHQ0rK6vqalpXDCRmoyprq6e8qms1hsZPcy+WCGqSWmv5AYsmlQjwNHQQCA1lcKuLu752c/w1NZilbC4xtraccWjtbW1yuCvqamZEcWjWkgPp6zv2WdpOXsWCDUFBiKuysbFqgcCNDY2Kg9ll8tFV1cXR44c4ciRI0Bs3Ut5cW02m/+ukTiI7F5eKVZdHi9XjFX3+3GokLiSwsJpv189TmQg/r1kcnNzo8aq2+328bHqX/gC9U4nzdKz0JyAKXFajMdYK7u2lvlnzjDvzBkuzJ7NUFYWV+3bhy8vD1EQlGCi821t8ItfKPiV/Cfe4UpOpzM0HgsKKC0tnfbr6YVfiw4H9PRcQuIgbK7JAGbPns3s2bMBlD5wcl+4SMFEsqlksVgo1ODZNFaJjsSZZ80i5aMfnfoLETIw5HsfQp+Jui9cV1cXDocDh8OhBBOpyZiSkpIrb5Sl41dRQoQFjUJ89DD7YoGoJhUbJTdg0RShn4JgtZLm9yvFo1uk4lGbyo1Rx6rLxaPqVDK93EutERy9nDLbggVw9iyVeXnkThCJA5Q47traWq699lqGh4fD8KtYu5daftZ6IXFer5fu7m7NEVW11O7llWLV33777cvHqstI3IIFcPXVCG+9pQkSB7E/kZlJSByMj1UPBAJ4PJ7QdTlyBLfXS2dJCZ0lUgxBMMiz//iPoXACq5U6l4u0BEDitGy9oQcS111URIrfz9bXXydjZISgwUBzZSXi8uWIH/kIDqdzHH5lNBrD+sLpHUykJRKn1zwTCASwSadelvvug8997ooXNT8/nyVLlrBEIjDa29uV0zE5mOjkyZOcPHkSuBRMZLFYNItVl58hRqNRk433OwGJy8nJYeHChSxcuBAgIhlz9uxZzkrGbmFhYRgZMy6YSJpnvD4fXffeS4rfj+mGG+DRRxMi+VprRDWp2Cm5AYsmNRInYU5jkTi5eDRirLo0+Pv7+zl//jznz58H0M29bGxsZGhoiKysLKo06Hqut1MmLFkC73rXlF8nIyMjzL1Uu5WiKIaaRGoRq+73M7xzJ06p07wWTpneIQVaIqpX0pRj1Xt6EL75TUrb2xFvugnQFomD2J7IaImoxkIytlNXV8fGxkaGHngAh8nEa9ddR5vRCAYDjTU1NNbUsGfDBtJGRmg4cAAhIwNBEKioqJgxk/3w8LCmiCrog8RZv/99QELiRkaAUHx3VXMzVXfcwTXbtin4rbzwb2pqorW1ldbWVvbt26dcR3nhr0cwkZbGgl7zTNh4vOkmmORnZDAYKC8vp7y8fMLBRDU1NcrCf6qx6lqnGuuFxGmNqF5OJSUllJSUKMFE6r5wLpeL7u7uccFEChlz5AjpH/5wCL1euRIIpTZmOBwJk3w9k4y+pC6v5AbscpKQuNazZyEYvCwSJ0uJVV+xgmAwSHNzc1hTSL3cSy2RONDHKYtlamNeXt4493LaserSqsyRlUXgn/6Jwq4uSlasSIiQApgZhboTjlUHuOce8nt66JVqxipaWjRPJYnViYzW4zGmqqoic3iY2efP84oUiX7Lf/0XwZQUpW9PX34+1v5+rK++CoTwRrWBEQv8aqJSI3El8gneNKQ3Eqf07YFxc016evo4/EptLHV3dyv4lTqYSF74ax1M5PP5aG5uBrR5juh9IqPVeJxIMJEcq64OJppwrLrfT3D37oRE4rRGVCejlJQUampqqKmpYcOGDQwPD4fVj6mDifbu3Uvq6Cj1H/84gigqydeC1ar5PBMrs09rRDWp2Cq5AbuCxPnz4exZqvLzyfn3f5/USDEYDFRVVVFVVRW1eDSaeykIwrSKR7V2QfRwyjo6OpTUxvr6+qm/0BWkdi/XrFmD3++/hF+JIm63+8qx6n/6k7IqE6XwCsFqxZAgIQUzDYmTFTFW/bXXELdvx1VXp2y+AJ64+24qmpsVLK5h507St26N47uPrlh81rFG4rwDA3QXFZE6Osq8s2fJGBlh6bFjBA0G2hYvRnziCUQphdTn84XhV6WlpWGpZLHuC6eWlo1TdUXihoYAsHz1q/D5z0/ooubk5LBo0SIWLVpEMBhUDIxowUSFhYXK6ZgWwUTyfV1RUTGlHnNjpXePuFg9+6YTTDQuVl0y+jr7++n+4hdJ8ftpeM97EgaJ07qR8XSUkZERFkzU19d3qX7szBl6AJsgYFPdFw6TiUN9fQiiSLFW6VfExuyTP2utENWkYqvkBuwKUpyyaSJxMLni0R07dky5eHR4505ccgqORrU9ejhl8mc9of5EGkre8NXX17Np0yYGBweV9KuosepWK+Y1a7CIIlZVbH6ihBRojajGQkqseno6G558kpH0dH7/kY8gzppFTl8f/Xl5tFRW0lJZyVtXX03qm29S53Yr4yXefeFkya4rJFhKXAQkDoMBA2D853/GePXVrL36agW/kk8uPR7PuGCimpoaZeEf62Ai+TmiBX6oFxIXNh6ngMRByFiS8atowUTd3d3jgonUfeEmHEwk7f6t0usIGtXa6THPqFNU9TKfphJMJAgCQnMzDZ/7HJlDQ1hXrQKk8ZhASNxMIC2iKS8v71Iwkc9Hxxe/iGixcGrBApzSKaN6Q1bs9SIcPYpgNGI2m8nOzo7jux+vmfxZJzVeyQ3YZaRG4rSqJVBLXTwqu5dXKh5VY3HRikcd2dkEPvYxijo7NUHiQH+nLJ7Kyspi7ty5zJ07F7jkXsqbZZ/Px4X6ei6MOaXrz8mhJz+fgt5ezXLik0gcit2dNjJCe3k5ANtefJGK5mZsZjOixYIoCPQUFip94bZv3z6uL5wWONpU5HA4CAQCFBYWJiYSFyUlTpYavwIU/Eo2MLxer4JfqYOJ5IW/lsFEfX19tLS0ANoEcCQqEgeTCybau3fvxIOJpHkm6HYjfvnLUFiI8M//DD5fQswzDocDv9+v2XicrCYTTLQfSLn/fmrdbvqlxb5JY6MPYmf2qRFVLQNxYiFDdTVlHR2UdXQwlJmJ02Si3m7HbLNhEwTctbV0lpRwqLubQ88/rxBOajImHn3hZMWyhCOp2Ci5AbuM2tvb6e3tVSamWErtXqqLR2VX2el0jnMvoxWPWqXG0ILVqnlIQaycspmKxMF497L1ySex/upXiBYLdpMJv/TQ/cuNN/KXG2+kvLU11KT7wgUa1q2bMX3h1EpEJK5jcJCewsIQp+90kj4ywuKTJ1l86hTB2lo6Dh5UmnTb7faIfeHUBkYs+8KplehInDAJJA7G41eTCSYym83Tangq39eVlZUJicTFcpGqSTCRavfvLS1VxmPD4cMJMc9A+GcdbyQOxgcTDQwMhMy+PXsQT52is6QEp4pk2bt+Pc3V1QhWK4IoUrp7N4bNm6f9PmJh9qkRVa2QuFjPM+rk64WnTnHVgQNs2rWLocxMHCtXYv3mN7HZ7bS1tdHY2EhjYyN79uwhPT2dhoYGxVgyGo263l+dnZ10d3eTkpISs1TjpLRVcgN2GamROL2dDXXxqOxeOp1OZUMWqXi04Z/+CbMock46udEaiYPYOWUej4fh4WGys7OprKyc3ovFUAaDgQqTiYq33uLqt97ihVtu4cTSpdS4XARTUmisrqbNaKTNaOTtxkZSfvjD6LHqcZI6JS6hkLgf/ABA2XwBii1uePxxyoxGyozG8bHqUl1fV1cXhw8f5vDhwwBUV1crk2Us3UstXclEQuJk6RJMJPftkcwpcwKFFMQitXEimnQwUXExwptvIsydi9luV0IK6lyu0HhMgHkGtEVUY6Hs7OxQMNGxY/DTn9JZXMyhFSt4c8MGCAYZycjg3Lx5nJMMjoK9e0MpsdKY0cJ40EpapzbqMc+MfPSjuOrqgPDk68zhYebcdx9zpGCinp6eMDKmr6+PixcvcvHiRV599VVyc3PD+sIVqOqXYyH5s66rq9O9FUVSU1NyA3YZzaTj3EjFo/Lgt54+TS+EUCx5UgkGObF4MYNZWVhEkaIEKR7VEsGJtVMW9HiwS471lh07EESRgezsEBa3eDHi1VfT2dkZOVZdmixLS0t1d2FlJK6oqOgdicTBmFj1jRsZGhoKw6/U7qXcF66hoUG5LlrFqvf19dHa2gr8fafEyYpJMFEEJM6SYEicPB6Li4un9X6nqgkFE3V24l2wgIMLFmAIBMiUTkiLOzrwp6aS6vdrhl5DbOYZrRHVmEo6Vi3u7CRD6lk278wZNuzZg1WqS3LW19MDYbHqFRUVYQaGnvXUammNxOk1zzh+/Wv8dnso1bijI/T1CPNMQUEBy5YtY9myZQSDQdra2hTs2uFw4PP5OHHiBCek5MqysjJlM2YymTQnY2bSejWpiSm5AYsiv9+PXe7tNANv6DD30uej4957sQoCR5cvp7mqCgwGzs2fzzmpP1lJRwfmo0exVFRgMpne8cWjejhl7Z/7HL0FBaSOjlInhSxkDw6y4MwZFvzLv8C2bePq+gYGBkKx6ufOAaGHuDr9Sg/3UktXUk8kzi4jcfffD3fdNalddWZmJnPmzGHOnDlAyL1UB+D09fVhtVqVzyYnJyfsukw1Vl2+rysrKzVBHt8pKXGyph1MtHMnhg99CIJBOsrKLiGqSSRuWhobTDQ0NIT9qaewvvgiNkGgvbycQWkOObJqFSeXLKHB4QhhcXY7xmBwxvwuammNqIJOSJwq6Km6sZHqxkY2vPkmIw0NOP/6V6wSet3S0qL8eeutt5TrKC/8KysrdSMwvF6vkmo8XSROr3kGQKyqArsd87x5GJ55ZkIX1WAwYDQaMRqNrFu3Dr/fP66ur729nfb2diWYaCwZM51goplcwpFUdCU3YFEkI3E5OTkzGokDqXi0vZ2y9naaqqtprqpi8bFjlHi9iBYL7tpavKWleLu7OfSHP4yLVa+trY1r8ejQ0BBuaWWTSE6Z2N4OTU00OBykj46Gvj5mVVZcXMzKlStZuXKlEquuxq96enp0dy8TEYnzeDwMDQ2FENUbb5wWEgehje/SpUtZunRpmHtps9kU/GpasepjkLhESomLBaI6UU06mKi3F+HmmxGsVjql0yMFUU0icZopMzOTubNnM/cvfwHg7Ny5PHfrraSMjpI9OIgvL4+Ls2dzcfZscDjIffTRMAMj1vjVRJWIRt/wrbdGROIA0h99FMucOVgkY8nn84XV9clGk81mY/v27WRnZ4cZGLE8cZU/67q6umnPY3rNM6Aaj9dcA4sWTek1UlNTMZlMmEwmtmzZwsDAQFhfOK/Xi8vlwuVysWvXLiWYSL4ukwom8vtp/POfQ8h4WhrVFRVTes9J6a/kBiyKYuFK6oHEyZHoy44eRbDZlOJR+8qViN/8JqLNRnt7+7hYdTV+pXfxqIzgFBcXT3tC0NUpy8+HpibM110HN9xwxYuqxKpXV7N+/XpGRkbC8Kvm5uZx7qUav9IiVr23t5e2tjYgmRInK5J7Kceqy+5ltFh12cAIcy/VSNxXvgIFBVi+/W3o60s4JC5eyZEQPZhIMTAcDrrz8zmyYgVHVqxQfs6fkoJVEEIbsQRA4mREdcYjcardf4u0yJt7/jwfev55Wo1GrBYLtvnzsZvNEfErtYERj2CihEXifvUrAhISV+z1hr4e5fg1Nzf3Uqx6MEhHR0dYXd/AwACnT5/m9OnTQMgglE/HtI5V1/Kz1mueiRWimp2dzfz585kvEUnqYCJRFBkYGIgaTCQIQvQAE2muEc1m2LoV8/HjpAiCRg5AUrFWcgMWRYnolLV9/vP05eeTNjJCveRgy8Wjc++7j7ljikflPz6fTykeBZTiUb3cSy2ROL2cMjWiannXu6bEfKWnp2OxWBTn2+fzhWr6pIV/T0+P5rHq8n1dVVWVROKiSB2rvmXLFgYHB8OwuLGx6unp6ZfcS1Gk/J/+CUMwSHtZ2SVE9ciRhEHitC6c10rqYKINGzYw/Lvf4XzwQayCgCgItEqkgtNk4mmTSUnLFE6dQpgzh6qqqhmHxWk9HiGGRp9q968gcVYrhmCQitZWKlpbufq++xh93/vGGRgyfvX2228r8fjywr+6ujqmfeFkdXR0KEjcdFONdTX6KivBbkeYBBIHIQOjrKyMsrKyqMFEnZ2ddHZ2hgUTaRGrrjUSp9c8EwtENZIuF0zkcDgmFkykcgDE664DwCyKGjsAScVSyQ1YBL0TkLi0KEgcjC8ebW1tDRv8eruXWj6o9XLKYpHamJuby6JFi1i0aBHBYBCv16tgcTJ+NeVYdWlVZktAJE7r8ThZZWVlRXUv5Vj1CxcucOHCBQDyvvIVBFEkKH0gDQ5HQiFxiVJLkFFTw6yLF5l18SKuujr+4447SB8aYsHp04gWC70FBaEmqu3tvP7rX5OdnR2WSlZUVBTvXyGxjD6AbdsYfu453BKaqyBxqnkmDRT8KixWXRoz6mAiGb9SG0uxCiZSpxonJBK3fj0sXDjl15lMMNGePXumHkw0BomrMhqn/J5l6THPQHyCLMYGE8mNwi8bTFRbi/DCCwhS+UkYoqq1A5BUzJTcgEWQ0+kkGAxSUlIy7UlaV6dMOqY2v/vd8N73Trh4tKKigoqKCtatW8fo6Chutzti8ajsXqrxq+kWj/b09GiKxMXjRCYWiwWDwUBpaSmlpaWKe9nY2KhsyFwu18Rj1VVInPW++yA/H+Fb34Le3oRC4rRAVLVQVPfy0CGcra305edzfOlS5ftbKir43+uvRxBFTA4HGTMYievt7Y0JEheTUxnVqkyORJ998SLv/9OfCAIdZWVYV67Edttt2CT8Sh2rXlxcjCAISiqZ3sFECYnEAfalSwmcPk1RVhbFP//5FS+oEqu+YAHApIKJzGazZv2jEhWJixWiOjaYSN0HbsrBRNJcYxUE2LJFMyROj3lmpjQyTk9PjxhMJJ8od3d343A6caxaxY5Vq0gfGiKQmhqOqGrpACQVMyU3YBGkZfph3JC4KZ7KpKWlRSwelRf+lysetVgsE3cv5ZACqZi+urpakwXQO9Upk7Gd2tpaNm7cyPDwcFhRb7RYdbPPh+XBB6loaaG9vPwSoppAKXEzFYmDMe6l08nofffhrKvDOmsWb61bRzAlBV9eHvvXrWP/unWk+P3Uvv02gsGg4Ffx7gunViyQuJidyqhWZTbp3pBbFBgMBso6Oij7zGdYs21bxFj1zs5ODh06xKFDh5RgItnA0COYqL29nd7eXtLS0hILiZOffQsWwM03T/rn1cFEwWAwvK4vRsFEiYrExWI8RlN+fv64YKKxfeEuG0z0yiuKA2CTkDjBatXMAYj1PKMloqqlIgUTWZ97DtvOndjMZiWNVLBaGbfymq4DkFRMldyARVAiInFut5uRkRFycnKo0DAFJ1LxqLwZi1Q8KruXMlIS0b1Urchst9wCS5civPIKlJYmxIlMvJE4CPWFm5B7Cbz2uc+R4/NR0N0NQI3HE0JUk0ictqqqIm10FMFmI210lL3XXENWfz83/vnP2KQ6pa7iYpwDAzh37lT6wpnNZmXhX1JSEtc6Ja0/65ifymzbxpAKiROkzfrYVVnEWHWVgaEOJtqzZ48uwURqJG66m714IHFa3CPyxjemwUR+P56XXw4h42lpVJaXT/t962306R3Qog4mWrt2rRJMJF8Xj8czPpiouRlh40bqXS6cEhInaIzE6ZFGqgWiGispwUTz57P6rrsIGAz86z330FlaegkHVmu6DkBSMVVyAxZBHR0dSlzrdPVOQeJkFRUVhbmXzc3NyobM4XBEdC/lxWV9fT0ZL7+srMiCgCg718eOwZ/+lBAnMna7XTNEVStFdC//9jfEv/wFu8lEf24u/VJRscNk4l/vuQdBFENY3I4dZEmO5XQUCyROa0RVVqyRODmkwCKKLDp1ikWnThE0GOicPx/xN79BtNsjx6oXFoalkunRF05WMBhMyB5x9iVLCJw+TXFWFsW/+MWELmhmZiZz585l7ty5QHyCiRIRidM6RXWsogUTydelu7t7csFEckqcxQKbN2M+diwhkbh4tyhQBxNt3ryZwcHBMDKmo6MDd0UFbpX5mzY8zPk5c7CIImVtbRg0cgBiMc9AbKiWWCdf93d10VlaCsEgZsk8A7RzAJKKqZIbsCiqrq6+cq+fCeidisRBOH51Jfdy3759IffS5cK8fj0WUSR1dFRB4uRGxolwIjMTOPHLSXEvU1NZ+8wz+FNTcdbV8fTHP04gNRVDIEBHWRkdZWUcuOoqDG++SY3DET1WPY6ST2S0QlRBHyROMRZUfXsMQMm//AslV13FKqmubyx+1d3dHWZgVFZWKtcl1s5se3s7fX19miBxoN+pjDIeFy6Em26a0mvoHUykRsYTEYmrrq6OORIHkYOJxvaFixpMdOoUOR/9aCgl7l3vAhILidMSUdVaWVlZzJs3j3nz5gHQ9dRTiI8/jk0QODtvHqPp6YxmZPDXG24AIL+nB0EUMZ87h7ByJfn5+fF8++MUi0bGeiRfi9/5DgBVTU3k9PeH/k4rByCpmCu5AYsi4eWXoaQkIZC4wcFBPB4PEP/i0Su6l9XV2Kur2bF1K2kjIwAUdXbSU1hIsdermUsGieWUxUTSaivV7yclECCQmkqOz8c9P/sZDpMJUcLiOsrKoseqCwLl5eVxw+JikRKnKxIXISVO1rhY9eFhnE6n4iq3tLTQ3NxMc3Mze/fuVTA6+bpUVlZqWj8mn35pgcSB/j3itLpHJhtMZDAYqK2tnXgwkQqJy0lPTyJxE5Q6mGj16tVXDiYKBqm6804a7HZctbVA4iJxsa5HnK6K6utZceQIK44c4ed33UW70cjiY8fw5eXhrK+nt6CAY8uWcay5GR57jPLycqVuXIlVj6O0TjXWLfna5YKurlD8vCytHICkYq6ZParjKOHYsYQJKZCRuNLS0sjJRHHSOPfyqacQ//VfES0WbGYzQ9IJY7vRyM+++EWKOjtDWNz585ivukoXh3Wy6unpob29HYPBgMlk0ux1Y47EqU5ksgcHmXf2LPPOnYPaWrqPHkVUxRGPi1XPywvDr/RyL7VOpdITiQuePk1JdjZFE0TiIFTXN2vWLGbNmgWEEtBkA8NqtdLb26u0JHj99dcVTFq+LtNNiNTaAdbjVEYejxC7TUG0YCJ1X7howUSCIFBWVnbJwJCRuFmzYNMmzEeOYDCbk0jcFBQpmMjhcITS4k6coK2/n6bqapqqq0M/EAzy8s03I1itWESRCrcbQxKJ0xSJ6+3upt1ohGCQ9/zv/5IzMMBoWhrO+nrEpUsR3/MempqaaGtro62tjf379yvx+PJ4iUcwkWw+mc3maf/bes0zwWAQ0e8HwHLXXfCpT2l8UZOKtZIbsAhKHxmhTm5knEBIXDxcyYnKYDBQ2tBA6cGDrD54kJG0NH7wwAP409OpamykpaKCruJiDq9cyeGmJnjkEaqqqsLwq5ngAqoRnIRC4uTGqSokDoDHH6ewpITlJSUsX76cYDBIS0tLGH7V19fH8ePHOX78OIDiXsr4Vazcy7a2NgWJq5OKuqejuCBxN9445dfJy8tj8eLFLF68mGAwSEdHhxJFbJdi1U+fPs3p06eBS7HqcgjOhO9Pvx//rl3YpQ23RSNjQY9TmViMxyspUjCRun5sbDBRfn5+6Lp0dCB86Uvk9fUhvvvdgDQeEwSJ03o8aq2MjAxmz57N7NmzobOT3s98BlEQeGPDBjrKy8FgQLRYEC0WXgNyfD6Ew4cxFxRgsVhmlHmpNaIKOiFx//f/AhISNzAAQJrfj2CzITzyCGzbpsSqy+Olq6sLh8OBw+Fgx44dSjCRuq4v1gSGluaTXvNMGKJ6880wA9ZHSU1OySsWQenDwxxctQpBFClzuTRxySD2TpmWrmSsT2Q8NTX409PJ7evjzl//mpH0dBwNDSGXbPNmWtvaaGpqoqmpSYlVH4tfxQOLS0QkbvC55/BMAImD0Ea5srKSyspKrr76akZHR3G5XArm09jYOM69lPErrWPVZVeyoaHh7xqJAylWvayMsrIy1qxZc8VYdQhtSuTxEtYXTi1pVeZOSWH4U58ix+ejYu1aTVZlepzKzAQcOFJfOHUwUW9vL8eOHeMYwFe/SnlrK20SdljncCQcEqfVeIypqqrI7+tj6fHjvLl+PQDX/+UvAIgWixJMdLK3l5MvvQSEYtXlAByTyaRJDfhUJSNxOTk5CYnEKWmkMG6uUceqAxHr+sYGE6mNJa2DibRONdZ7npkp5nRSk1fyqkVQf24u/6suHj1yBKGkJHqsehzV3d1NR0eHpkic3icyhmCQjJERZl+8yOzvfx+2bVNwK/nBrI5Zh9BDXO2S6ZFGmLBI3OLFBE+fpjQ7m8InnpjUqiwtLU2JSQciupdOpxOn06l5rHoiI3FaI6pjNZFYdbkv3J49e5S+cPJ4qaiowPDii8qqTJScIUEUMWi4KovlqcxMaZyqVqRgIpfLhXXnTsS336a5qoo2o1H5/l9+/vOhYCJRxCKKVO3eTcrmzdN6D0kkDsXs6+npCX3ewSBLjx8ne2CAtfv3409Nxb18OeIPfoBos4XFqh88eDAUq15TE7dgIjXVMl2jUVckbnQUAOHuu+GOOyZ0UUtKSigpKWHVqlXjgolcLhfd3d0cOXKEI0eOANoHEzkcDgKBAMXFxdPGuCE+yddJJaaSG7AI2rxjBy1z5lwqHu3p4diLLwJgNBrDmkLGu3hUHoQ1NTWaOHZ6nMjwxz8ivv46wKXi0TErsvz8fJYsWcKSJUsIBoO0t7ePawp56tQpTp06BYQe4mqXLBbuZWtrKz6fj/T0dGqlou7pSG8kzjxNJA7Gu5ednZ1hfeE0iVWXkTgpAlxIInFX1ERi1a1Wq3KqmJubi3DsGOalS7GIomKImDUOKYDYncrI43GmInEQCiYSBAFh/3745S/x5eTwwi23IM6eTcbQEMOZmdjNZuxmMzu2biVrzx7MbW1hdX3x7AsnK2GRuH/5FwCqGxvJlpA4DAZSAwEavv51GrZsYTMoseryeOno6IhrMJGWi2u95hk1ojpVJC5aMJF8Xa4UTFRVVTXp66Jl6w3QZ56JxXhMSn8lN2ARtHb/fgr272ckPR3XihWI//IviDYbTU1NtLa20trayr59+2ZE8WginsgMvve9NJ48CcEgli9/GerrL7siMxgMlJeXU15eHoZfyQt/t9uN1+vF6/Uq7qWMX1ksFs3cS60RHL1RhVgUzhcXF7Nq1arLupdjY9XVfeHGuZcyEpeaysjtt5Pb10fFmjVJJG6SmlCs+qxZnJACP9QfxlBmJplDQ9p17iU2pzKJhsQB5Pb30yOd1v/Diy9S0doaSiOVgokGs7LGxaqrDYx4BRO53W5GRkbIycmhQtXraarSC4mzTQCJg/Gx6t3d3WEGhp7BRImOxGk5HqcTTGSxWC5PxkjHr6I0N2ll9Okxz2iNqCYVH83wWSuOMhhIHx1FuP9+BKmHiIxfyYXw3d3dYcWjWVlZiktmsVhi7l5qjeDo5ZTZbDaCwSBlZWUUfOITk/55NX6lbgqpdi89Hg8ej4c33nhDcS/lhcxU3UutF9d6oAqxQFSjaax7OTIygkOVrqh2L996663xsepvvUXKhz4EwSBWCcMy22xJJG6aihir/uSTiM88gygINFZXE5SMo5f+4R94+eabqXW7FSyuZsOGGdMXTq1EReLay8sxBAIIdjtZg4OUer2sPnSIQF0djW+8gSg9y+RYdTV+Fa9gIvVnnZBI3D33wKc/PeGLWlhYyPLly6cUTNTQ0DDpvnBqyanGJSUlmqD1eiNxsQwDixRMpK4fm3AwkWT09XR3037ffaFGxu9/P/zwh5rEt8c6EEdLRDWp+Cm5AYumCCNFjV8Fg0E6OzsnXDwqCILm7mVLSwv9/f2aIXF6O2VaPahj7l76/Yzu2oVdRhUSEInTClGdjNLT06O6l6Io0tPTE+5eDg5i/uAHEUSR83PmAFLj1ARD4rQaj7FSWloaJosF0/btbNm+nf+5+WaOrFxJeUsL/rQ0vKWluOrrcdXXs9vlIuOHP4weqx4njY6O4nA4gMRF4rIGB0N/J32WKT/+MbX19dTW13PttdcqseryeGltbY1bMFEiGn1hqY3TSImLFkyk7gsXLZhI7gs3ITJG2v1bjx0DQNBoftQbidOrRYE6mOiqq67C7/eH9YUbG0wk12cKIyNYHnmE2qYmxEWLAAlRFUUNj1/1CcSZSUZfUpNXcgMWSS+/DO95z2VHisFgiFg8Kg9+p9MZtXjUYrFQV1c37eJReRCaTCZNHGq9nbJYPag1dS9lJC4tjdFPfpLcvj6MV12VROKmoMu5l/aLFxnIyuL0woWclurLAGxmM5lDQ5jtdrL/DpG4WJ/I4PHgbGgAYMuOHcw7e5auoqIQFrdoEeLChdFj1aU/8QgmkpG43NzchELiRKcTursvpZFCVFs8LFadkIGhNpb0CiYaHBzE4/EAiYXEaZ2iKksdTLR161b6+/ux2+3K3N/Z2TkumEhtYJSWlo7fKKt2/7a774bycoTvfx+GhxNintEaUZ2KUlNTqauro66u7vLBRMCeT36S9OFhxQSpaG4mGAyGrotGRl/oPWk/z2iNqCYVPyU3YJE0hVWOGr+K5l6qi0dl91LG4qbiXmq9uNbDKevq6sLr9WIwGGiQFn6x1LTcS6eTmk9+kpRAAOuWLUAyJU4rjXUvA888g+f//B9EQeDkokW0SzHdJ5Yu5cTSpRAMUt3YiHDiBEJDQ/RY9TgqFi0KYn0i0/2pT9FRVoYhEMAkOdhF3d2sOHKEFd/8JsFbbokeqy459fEIJkr4lLgvfGFSSByEDIx4BBPJSFxpaakmvbLeaSlxOTk5LFiwgAULFgCEkTFyMNG5c+c4d+4cEKrPVBsYuX/9q7L77ykoUBBV86FDCTHPgLaIqlaKGEz0yiuIzz+PKAj48vIYkZ5VR1au5PzcuQiiGPrz2msUXH99PN9+VGmNqCYVP82sFcw7SJNxL+XiUfVD+UrFo6O7duGQH3oJVDwqP6hra2vj0mdlrHs5MDAQhsWFuZdA5v33Y7LbaZZcPXMCIXFaI6qxVEp1NXUuF3UuF325ubSXlzP73DmKOzuxCQJtRiONNTU0er3seeqpyLHqcZz4R0dHNU2l0u1ExusFj4caj+cSEqdalRkgcqy6VAfb3Nwcl2CiRETi1Ihq3c03T2uARwsmUveFixZMJPeFuyI1MTakIMGQOBlR1QuJk1VcXMzKlStZuXIlgUBAMTDkur6enp7wYKL2dszXXYdFFOmU5n0FUU2AeQZmFmkRTQUFBSwLBln2wgsEgTPz5vH8Rz+KIRAgbXQUX14eJ5Ys4cSSJbBvH2UXLyrjxWQyTauuT0tpndqYVPw06Q3Y7t27eeSRRzh06BBNTU28+OKLvP/974/6/S+88AJPPPEER48eZWhoiIULF/Lggw9yvcpdeOGFF3jooYe4ePEiIyMjzJ49m/vuu4+Pf/zjEV/z4Ycf5hvf+Ab33nsvjz/+uPL1T37ykzz55JNh37tmzRr27ds32V9Tc13JvRwYGIjqXppMpnHFo670dEZvu4283l7KV6/WyBbX1ymbCcrOzo7sXu7bh+hyMZidzTmptgxgx9atOE0mBKsVwWYjNwGQOK0QVdAHiZMj0VccPsw8yTXuKSjAtnIl4t13I9rt9PX1jY9Vl5x+i8VCQUGBBm9q4nK73YyOjpKbm4tR1edpKtLrRAZALC4GjwfzNdfA1q1XvKhKrLo0fn0+X5iBMTaYSO4LJ//MdPrCyRoYGKCxsRFIXCRO61CTsX3hBgcHcTgcyslle3v7uGAi2cCIGEykOn4V77kHysoQHn4YhoYSAolzuVwKojrd8TgdpaSkUF1dTXV1dfRgorIymsvKeOuaazAEAgCkj4zQWF1NZVMTKTMcvdYaUY2ppGNVA9AtbXYFUeSjzz6Lu7YW0WIJBRPV1tLe3k57eztvv/02BoNhXF1fvIKJtO6PmVT8NOkNmM/nY+nSpdx+++184AMfuOL37969m3e961089NBDFBUV8Zvf/Iabb76Z/fv3s3z5ciC02fjmN7/JvHnzyMjI4OWXX+b222/HaDSGbdQADhw4wK9+9SuWLFkS8d97z3vew29+8xvl/+PdpyuSpuxeDg8jSMWj1hg1ToXYOWXBYHDGPzwU9/L8eQJf+ALNVVXsW7NGweB6Cwo4unw5R6V7t2LfvtB1kfCr6db1aalEROK67rgDb2lpGBKHwUBBby9L77mHpdu2EQwGaWtrUxaXdrs9FKt+4gQnTpwAoLS0VFlc6uFeql3J6W4w9DqRUSOqli1bYApIcG5uLosWLWLRokUEg0G8Xm9YMNHQ0JDmwUSJisTp+ezLysoKw6/kYCJ5s+zz+bh48SIXpV57cjCR2WxGOHeOgltvhWCQ7sLCS4hqEombtsYGE/n+8z8Rf/hDZeHfI93PdrOZX3/mM2T392O22RDOnEFYulSTRsFaS+vxCPoafYLVSprfj8nhwOR0suXCBQZOn8auKlXwer24XC5cLhe7du0iIyMjLsFEPT09tLe3YzAYYpo2mZQ+mvQG7IYbbuCGG26Y8PerT6gAHnroIf70pz/x0ksvKRuwTWNWEffeey9PPvkke/bsCduA9fX18bGPfYxf//rXfPe7343472VmZiZcX4Sx7mWk4lGPx4MHeEMqHk2RnLLStraEKR5tbm6mv7+fjIwMampqtH1xrVVVRYpUd5QxPAzAygMHmH/uHFZBwCYINFdV0TI0RMtbbymx6mr8qqqqSve+cLK0TonTG4mrdbvJGhoKfX3MqsxgMGA0GjEajaxbtw6/3z+urq+jo4OOjg4OHDiguJfy6Vgs3EstF9d6nchojagaDAZKS0spLS1l9erVBAIBGhsbx/WFixRMJMeqX9bASGAkTmtEdbIaG0zU2toaZmCMCyb6/OdDTbklKYhqgiFxM32RmltXx+KTJ1l88iTNFRX88vOfJ2V0lFlWK46GBgZyckLBRK2t8NOfRo9Vj6O0/qz1MPr8H/4wDslwssj3uer4NTsvj/nz5zN//nwgVLuuLiGJVzCR/FlXV1fHpYQjKW2lew1YIBCgt7eXkpKSiH8fDAbZvn07586d4wc/+EHY3919993ceOONXHfddVE3YDt37sRoNFJUVMTGjRv53ve+FxVBGBoaYkhe5BFyF2aCJlI8KmvHddfx9tq1ocJRq3VGF48mOhI3++JFLFYrFqsVDAZ8s2Zh++MfsUquck9PD3a7Hbvdzvbt25WmkPLCX0/30uVyMTo6Sl5eHuVSoMVUpSsSV1QUQuI2bIDrrpvQRU1NTcVkMmEymdiyZQuDg4NhWJzavdy9e7fm7qXWSJzeIQVajke15ECb2traCQUTpaam0tDQEDmYSI3EfeELUFqK8NBDCYXEyeMxnkgchPeFGxdMdOwYjT09tBmNtKneZ09BATs3bgz1hfN4SJnBSJx6PGpZ/xWTuUY9z0jPDsFm49ZnnyWQkoKnpgZx2TLE978ft8cTFqsOjKvri0cwkZapxnoZfa7/+A9GbLZQqnFra+jrlzl+LSoqYsWKFaxYsYJgMEhzc3NYsrJewUQzrYQjqelJ99H66KOP4vP5+PCHPxz29e7ubmpqahgaGiI1NZVf/OIXvEtqgAzw+9//nsOHD3PgwIGor33DDTfwoQ99iIaGBmw2G9/+9rfZsmULhw4dioggPfzww3znO9/R7peLkcYWj7ZWVIRiogUBu8mUMMWjiYjEdX7603SWlIxD4gByv/99Fi1ZwiKprs/r9SqucqSmkEVFRQoWF2v3UksER08kTj5JsmzZAvX1U3qdrKysqO6lzWajv79fG/dSWpHZz5+/1Fhcg9ozPU5kQP/JfMrBRF1dCF/7GkVdXXQVFV1CVA8fTiJxGigsmKi1lYFvfQubyYRosXB4xQqCKSn0FBaya/Nmdm3eTObgIKaDBxFycqLHqsdRMhKn1XiEGM41qt2/Td6ASThzSjBIndtN3eOPs3HbNoaGhsIMjLa2tlCsemMje/bsiUswUXd3Nx0dHRgMBkzTDAPT1eirrQWbLTQef/e7Se2o5X5iVVVVXHPNNWHBRDabjaamppgEE83kVOOkpiZdN2DPPvssDz74IH/605/GuYD5+fkcPXqUvr4+Xn/9db7yla8gCAKbNm3C5XJx77338re//e2yx64f+chHlP9etGgRq1atoqGhgT//+c9si/CU/PrXv85XvvIV5f97enqoq6vT4DeNgVTFoxUtLVS0tLDurbcYTU3FXVenYHFji0flePx4F4+Ojo7idDqBxEXiMiUUMdKqTI1fXXXVVQQCgXF1fV1dXRw+fJjDhw8DIfdSdvu1di+1fFDrhcTFClG9nHvpdDqn5l6qVmTWG2+E1asRdu4MjdMEOJGJRSPjyWrCwUQAX/oSJR0d5Pf2AlCdROJio6oqsgcGWHDmDCWdnRxatYq04WHe/be/YTebsZnNDOTkcM7n49xf/gJEiFXPzY3rrxALJC6mc822bYz+4Q/Y5QbMMhI3Zp7JzMxkzpw5zJGa1KsNC1EUIwYTqQNwtKrPUkv+rGtqaqaNxOll9IHqHlm7FqRSmKlqbDBRf38/NptNSb4cG0yUlZU1joy54kbZ76f1L38JpaimpFBXXT2t95zUzJBuG7DnnnuOO+64g+eff57rrrtu3N+npKQohanLli3jzJkzPPzww2zatIlDhw7R2trKypUrle/3+/3s3r2bf/3Xf1VOzcaqqqqKhoYGLly4EPE9ZWZmzpjToSsqii2e5vdjstsxORygKh6VB39nZ+e44lH14NfLvXQ6nYyOjpKfn09ZWdm0XktXp6ywEDwehEkgcYDietXV1bFx40aGh4fD6vrU7uWbb76pqXvZ39+fROKiKJp7KV+XCbmX//3fYSsypZj7xAn4r/9KiBMZLRFVLRQtmMi6fTu2N97AXVuLt7QUb2kpAJ7aWv79059W+vbU7tpFmtSrbzqKNRKn5WY31kicVXqvZrud1QcPsvrgQQIpKTQvWYL4k58g2u04nc5xseoVFRVhBobewURaInF6zTWulSsZPXWKvIwMjD/+MVRXX/GC5ufns3TpUpYuXaoEE6kNDJ/Px8mTJzl58iRwKZhIJmO0qCFKRKMvVuNRVk5ODgsXLmThwoUEg0E6OzuV9ZjNZmNwcJAzZ85w5swZ4FIwkUzGjAsmksw+a10dXH89DefOkWqxaJZ8nVT8pMsG7Nlnn+VTn/oUzz77LDfeeOOEfiYYDCr1WVu3blXSzWTdfvvtzJs3jwceeCDqYq2jowOXy0XVdFeGM0ETtMXHFo/KsepyTczAwEDUppBmsznmxaMJi8Rt3QrTOB3NyMiYlHuZI+E9k3IvVUgcQHl5Ofn5+VN+z7L0RuL0PCWI5l7K16Wrq2t8rPq5cwgrV4YSSAOBS4iqdK8k0onMTETiQBVMlJnJ5v/4DwYzM7GbTPzxgx/En54OBgOe2lo8tbW8ce21pO/ZQ0NTk3ItjUbjjPm95GdIoiNxGAyhYKJvf5vqa69l/bXXMjIygtPpVMZLc3MzLS0ttLS0xCWYqKurC6/Xi8FgoGEKqZ5jpddco4zHefMw3HLLpH9eHUy0du1a/H4/brdbweI8Hs+4YCKZjJlqMJHWSJxeRl8sUhujyWAwUFJSQklJyYSDiaqqqhSDvP7wYdI+/GEIBrFt3AhI41Hj5Ouk4qNJb8D6+vqU6FoITS5Hjx6lpKSE+vp6vv71r+PxeHjqqaeA0ObrE5/4BD/5yU9Yu3Ytzc3NQKj/knzzP/zww6xatQqLxcLw8DCvvPIKTz31FE888QQQcnoWLVoU9j5yc3MpLS1Vvt7X18eDDz7IBz7wAaqqqrDb7XzjG9+grKyMW6bwQJuRmoItrm4KGQwGaWpqCsOvIrmX8uDX0r1MRKesqamJgYEBMjIyqNb4yP9K7mV/f//k3Es1EnfTTbBqFcKOHVBZmTBInIyo6t04Va1I7qW6fmxwcJCzJhNnpXqH7P5+AEq8XvxpaTA8rB0nQ2xOZCCBirml1VbW0BCFPT3409PJGBris088gcNkwibVwvry8sJi1eW+cPIfvfvCqRWL2lc9kDjHFZA4CBkYFotFGbNyXzjZ8R8bTCTjV+q+cFpK/qxra2s1OeHRa67R2nySA23kTejg4CB2u125Ll6vF7fbjdvtDgsmkuf+KwYT+f20/OUvoRTVlBRqNTC536m1r2pNJJioqamJpqYm9u7dS9roKPX/9E+YbDZs0pwjiKL2qE9ScdGkN2AHDx5k8+bNyv/LNVS33XYbv/3tb2lqalIWUgC//OUvGR0d5e677+buu+9Wvi5/P4Qe2nfddRdut5vs7GzmzZvH008/HVbTdSWlpqZy4sQJnnrqKbq6uqiqqmLz5s0899xzmpwCzBhNwxaX+4lVV1ezfv36y7qX+/bt08y97O/vp0maoRLJKVNPirGsm4vmXsrX5XLupSAI1B44QKrkkgGXnOvjxxMGidMSUdVKavdy1apVBAIBmn77W6y//S02QcBZX8+AhIt0lJXxyP33U9nUFEojvXiR+muumVF94WQlKhInp8SZ7HZKurooOXqU5ceOEaytpXXfPqwS4utwOMb1hSsrK4tbMFGiI3Hljz8+ISQOIveFUwcTjcWv5GAimcCYSl84tbReXOsx18QaiYNQMNG8efOYN28ecCmYSD7tv1wwkdlsDl9DSWafWP//23vvMEnqav//1ZNzzrGnenNObGAzKAZAcBH9qiiimOAqmFCv92e6GFAQ9HIxXxAF9PI1fBUVCbvssruwLJtzmOow05NzTt31+6O7arsn7E6o7pnePa/n2eeBmeqemk9VTX/OOe/zPmVw3XVYT582RRIXjkQfmPs8TpWLGhOdOkUnPom7LnNP6ey84NpoZlOcMC1YNG20P+VXJh0dHaSnp9Pe3j6tGdPpQs9e6n8A2tvbg74/PHs53ubRE3/8I//31CnykpP59Oc+N+W/oB4PWK2XzpTZ7VP7UU8++SR2u523v/3trFmzZvJvNEX07KV+XZqbm4O+HzcwQLnDgVJZSU5TE0996ENEeTzc98ADxA8OmrMYfkJl+//SSy+xZ88eli5dys033zz1NwwVr7wC/gRUf1wcP/r85xlISCCzpYXWYdn8i9qqTyMnT57k2WefJTc3l7vuusuU9wypI6m/5PPb225Dtdl4+z//yZp9+y7syoYlGIJs1f1z4QIJpzFRa2srP/nJT4iKiuK+++6bcuAXcPtdlB07prYn05/HJUuWmKYg0eVXekBWVVWF1z/PUmfSxkQeD9quXTy4Zw89Hg93fPjDlJlQTQrHZ43+PObk5AQlqcPFaMZEQ0NDQcfk5eX5rktdHeWf/CRxAwP87rbbqJw1i7c9/zxr9+3zHWhCsm+0vyWlpeYk+tra2vjxj3+MxWLhvvvum9GztLSnn6bpnntQbTbeWL2aluxslhw5wrv//OfgA59+Gt7//uk5ySuEUMUG4R8aIcxYRsteDpdfTSh7qTePLl8OK1eivPSSb0cWAZkyvToI058pG569bG9vv5AlO3OGHuDcnDmc8/eXAST09nJ63jwUVSVVJHHmEVCRac7OZiAhgbj+fu5+9FF6k5JQFQX7okVUrlw5tq26/19GRsa0/Ap6n2EkSeIGxymJg2G26tdeS29vb1BiaTRjIn0unNnGRIGSODOqbuGWxJn5PAbKryZiTKQHZGMaE/k/Z+qGhuj51KeI6++nePNmU3bs4fisme6/fcONiXQ5+GjGRPuAqC9/mZLqaqr9w9utJkviwtH7apZENZRYiorIbWoit6mJo0uWAAQNRze4HDwOrlAkABNGJdBWfazm0eG26oWFhcbmUm8e1TQN9T3vAcxtHg2HJM7j8ZCWlka233ltppCens7y5ctZvnw52tNPU/+FLxhjCFRFQYuKoiclhb/4FyG3oQHlyBGUoiKsVqtpQyHNIlCiaqYBR0iqdQE7Ml0WUmG3E+31ktLdzZJjx1jyjW+gvfvdY9uqnzgBQFZWlrG5tFqtIZ0LF4huCmHGhi9skrgVK/CcOEFqXBw5E5DEga/feMGCBSxYsABgRF9fb29vkPxKNybSq/1TMSYyu7cnHJI4syXjYzERY6KXXnppdGOigOhfXb8e8ElUo6urI25G3HQn+nRiYmJGNybaswf15EnaMjNxBRicPPHRj1Jht/scSSsrydq1C8t4yrQXIdSJvhn/OQNGsq+3uZkafw+6EhiAmdUUJ0wbEoAJ42Ks5lFdThLYPLpnzx6jebSwtpb2jAwsHg/lTmfEZcpmqkucjqWoiIK6Ogrq6lj32mv84L776E9MZMnhwzTm5VFbWEhjXh6NbW3se+YZw1Zd3/hPdiikmegBQV5enmn9miGVxPl3ZOrzzwMBWcmAHZkFRrVVD5wL19LSQktLCwcOHDD6M42+vpISU+fC6bS2ttLa2kpUVFREucQZVbv587FMUaIaaEzk9XpHyK9MMSbyePDu2oX99GkAbFMcUqsTDqMC/Xk0y0V1vEzYmCgri4rdu7HNnYvVbjd6BENhUhCqzxqzn8dQYBgTHT2K9uMf05qZyd/f+U7U2bOJHhqiPyGB0/Pnc9rvvJy+dy9KZ6eRxJjuuXA6Qa7GJgW7If2c8Sf77P/f/wcWCzmNjaT55yCa2hQnTBsSgAmTYnjzaGdnpyHzqTx1ii6Cm0ctwF9vugmlshKbqpJukiwukiRxoTYpqCsspD8xkfi+Pm7661+J8nrpSUrCvnIl6he/iGq3B9mqv/LKKz5b9WGuZOEOOCPOJQ4YvPFGXCdPgseD7a674IEHLnpBDVv1sjK2bNlCf39/kPyqqakJt9uN2+3m1VdfJTY2NmgunFm26pEqiTOzahdIVFSU+cZEuiTO46H3k5/0SeI2bRJJ3AQYlzFRSwvNCxbw5oIFWLxeNP8CJPT04ImOJtrjmfGOpGY/jyGlsBALkNXaSp+/3eCGv/6V3OZmVL/6wlVWRjsE2aoXFBRcUMaUlU2bMVFdXR09PT3ExcVRXFw85fcLx+cM27ahut3Q0nJhHASYV34VphUJwARTSE1NZcmSJSxZsgStp4eme+81ZHEOq5WB+HhOLFrECf/YgKzmZpTDh1H82eWZpMfu7u42xiWYJVUIx9yeSn+wa3U4iPJ6wWIhqbeXhffey8J3vQtg1L6+06dPc9qfqU9PTzey/eHIXpo9SyZckjhdopqamkr2hz98Yfc7TuLj45k7dy5z584FfE2+gfKr7u7ukNiqR6JLXKgkqqMxVVv1zB07sNx6q08St2GD75ztdqIiUBI3k/oxA23Vt27d6jMm+u1vUf/yF1RFoTnAOfUvt9zC32+8EavD4ZPFORzkatqMVDJEoiSup6XFkMTZ7HZSOzspdrvZuHs3A1Yrruefp9LvellfX09dXR11dXXs3bvXSEQFJjDCdV30tbZarVM23QnX5wyA6v8hysc+Bh/+sMkXVZhOJAATTMdSVERuYyO5jY2s3bcPT1QU7pISKhUF1WbDXVxMS3Y2Le3tvPm//2vYqusb/5KSkpDavl8KPduen59vymDqcJgU8H//L+q//gUEDE4dZUc2wlY9YC6cPhQyUH4V6uxla2srbW1tESeJC+zbMGMDkZaWxrJly1i2bBmaptHQ0GBcF1Ns1f2SONUfaCsRJInT19pMiep4mbCtemcnyg03oKgq52bNAiJPEqc/j1aT7pFQkJCQwLzZs5n3j38A8Pfrr+fNq64io7WVgbg4epKTLxgTOZ2k/OhHQQmMmTCaJmIlcV//Olgs5DY0kDpMEhf34IPMmjOHWf6+vq6urgvKmMpKQyljt9uDjIn0z/5QGhOZmVgI1+dMoETVeuONMNOrpMKEkABMMJ9hu7Jor5cyl4syl4utr7xCX0ICjpUrUb/6VVS7nebmZmMopC6/0l3JFEUhNzc3rNlLM7OS4cqUDd54I1W6JO7uu6G8/JI7Mt2Ou7i4mI0bNzIwMBAkvwpH9lJf69LSUlPMQSLZJU7HYrGQn59Pfn4+69atY2hoiOrqamPjX1NTQ1NTE01NTbzxxhuXtlXXJXFeL32f+ATxfX0Ub9wokrgJEmhMtHr16iBbdVVVqa6qoi01lYMrV3Jw5UpjMerz81ErKiirqiJmhkvi9F47s55HCH1FBrcbt19StnXHDhYfO+Zbc0VBXbAAp9VKV1cXR48e5ejRo4Cvvy0wgTEdxkS1tbX09vYSFxdHkb+iNBXCLokLNIQYo/yakpLC4sWLWbx4MZqm0dzcHJTAGG5MlJmZabiRmmlMNDg4iNPpBMz5OxLuz5mIkKgKE0YCMMF8LrErS+jvZ97nP8+8668Hhtmq+4dCnjt3jnPnzgG+P+Lhyl4GSuLMyEqGK1PmdDoN18asSUjiwNfXN2vWLGb5M/eB2UtdfjU8ezl8LtxEiURJXCgkqhcjJiYGq9VqVCR6e3txOBzGRqalpWVsW/XKSrJvuw2LplHpl8RZHY6IkcSZLVE1kxG26k89heNb30JVFE7Pn0+7P5uvB2Qxg4OUuVwoJ06gzJ07Y+bCBWK2JC4cFZmeD32IWv8DragqFk2joL6egvp6rv7CFxh617uoqqoKSmA0NjbS2NjIvn37jOsYmMAIhzFR4FpHlCTOP7tNufPOCUniLBYLOTk55OTkjGlM1NrayoEDB4KMiQKVMZM1JqqqqjIk4zkBctXJEo7PGQiNRFWYOUgAJoSGCezKgmzVNY36+vog+dXFspfl5eWmZoZaWlpob283qj1TZToqMmZt6kbLXg637z558iQnT54ELmQvdUnJRbOXukvcmTO+844gSZzZEtWJkpiYyPz585nvdx1ra2szNpeqqo60Vb/3XhRVNaoESmVlREni2tvbZ7RLnE5ccTFzzp1jzrlzRHu97F2/njKHg4z2dlRFoSs11WdM1NQEv/gFSUlJRgLDZrP5bNWnEa/Xa6okLlwVGXtbG1RVkVdfT0pXl+/rAZ8zMWDMhQNfT6GewFBVlba2NlwuFy6XK8iYSN/4h8qYKFIlcYZE9cYbYQqVw4kYE+3evXtyxkT+8qvq3zsoFRWmXMtwfM6Y/TwKMw8JwITQMYldmcVioaCggIKCAq6++mqGhoaoqqoy/iiHOntptiQu3JmyUFUJArOXuvzqUtnLwLlwpaWlF7KX/rR4rabR9/GPE9/XR9GGDREniZspWcmMjAzDVl3TNOrq6nwB2YEDOJua6EhP5/Dy5cbxb6xZQ2tmJjZVpczpJE4kcaZL4nRL9FUHDrD42DE0oDEvD3XFCtTbbsPhdNLT0zNiLlxgAiPcxkS1tbX09fURHx8/ZUlcOCsylTk5UFWFsmIFPP30JS9qUlLSiLlwgQmM4cZE+lw4M42JdLdNiCxJnP48lpSUmC7bNN2YKKD8qn7iE1BUhPKTn/huwAj4nKmrqzNVoirMPCQAE0LLFHdlMTExRjby2muvpbe3N0gW19raOiJ7Gdg/lp2dPb6Ml54pO3AAiKyKTFdXF/X19UD4ZFr6PLHS0lI2b95Mf39/0Fy4xsZGampqqKmpYffu3cTExPiyl93d2L7xDfLq61H9v3QkucSZLVE1Gz3wLSwsZENVFYNf/CKusjIOrljBSb8DaXNODs05Obx+9dVEDw1R+sYbVERFYbPZRrdVn0bMtp8PhySu+8Mfps6fUdFnxFksFvIaG8n7+MdZu23bqLbq+ly4N998c1qMiQITC1O9B8JVkQmSqG7eDP6xKBMhMzOTVatWjWlMNHwuXEFBgXFdJmtMpLuopqWlkZ2dPeHXDydcib5QjYMYjSkZEx09Svz73geaRk9S0gWJ6ptvRsTnDJgrURVmJhKACRFFYmLiiOxlYJasr6+PM2fOcMYvbdOzl/q/UbOX/l2Zt6YG+333QUICyuc+B//xHxGRKdM/FAsKCqZt6GV8fDxz5sxhjt/9Ss9e6sFyV1cXlZWVVAIvfvrTJOtSIaCwpiZiJHFmS1RDSmEhsUND2FTVGFGw6Ngx5p4+7ZPCKQrtGRk4entx7NjBjh07RtqqZ2ZOW59SoATHjA1fuCVx+XV1pHR3+74+bFc2qq16gPxqLGMifeMfCmMiMyu74arImC1RHW5MpJs3jGZM9Nprr40wJiooKLh48DpcEme1RpQkbrr6MccyJgpUxgQaE1m8XkruuMPXE+gfyWJIVCPgcwZmjvmQEDokABMimszMTEN+5fV6L8iv7HZcLteI7GV+fn5Q/1js3/5m7MpqSkroT0ggobeXwiNHIjJTNlMYnr1sbGyk8oUXUJ9/Hmd5Od0BvVM7rr2WY0uWUKGq2FQV644dxL/lLVM+h1AOTo04SZw/AJtz5gyLTpxg0YkTaBYLLQsWoP7616gOx+i26hkZQbK4JP8A1nBQU1MTmZK47GyfJG7VqnFJ4sBvqz5vHvPmzQPCb0w0ODhIVVUVYE5lN1wVmVBIVAOJjY01z5goUBL3yU9CYSHKj38cMZK4QImqGYOMp0KgMdE111xjGBOpqop64gQtvb1UlZVRFZAkG4yNZd/q1SiqSk5VFZYZLL02W6IqzEwkABMuG6KioigqKqKoqMjIXrpcLqPZur6+3vinZy9Lq6pQ1q/3VQn8f+gq7HZjkPFMz5TNdEkc+OVXeXnkRUez7qmn8ERH8/qaNbx03XVEDw3hjYqiKTeXptxc9q9Zg2XPHkpcrrFt1acRs7OS4ZLE1RcUAKD4K0pYLFiA7G9/m+w1a7hqzRrDVj1QftXW1sbBgwc5ePAgQFBfX1lZ2aRdycbDZSGJ82/cJ0q4jYl0F9X09HSysrImdc6BhKMiA+GVxMHFjYkcDsfYxkSNjVTcfTeJvb10JyVdkKgeOBCRib6ZJFOGYcZEHR203XUXqqJQqSicWrAALSqK1qwsnn/nOwFI7ehAOXQIxd93OR1mShfDbImqMDORAEy4bImNjcVmsxmBSXd3d1BWuaOjA0dREY6iIrYDUR4PANFDQ7RmZpLZ2mrOrsxPKDJlzc3NdHR0RIwkDiDa46HL/4G35OhR3vrCCzisVkMW15KdPaatuqIo5OTkTIssLlIlcWqAJC55DEkcBNuqb9q0iYGBgSD5VUNDA7W1tdTW1rJnzx5iYmJGyK/MvC5mBrvhksS1tLQYz6NZro1jGRPpiaXa2trJGxMNk8RVmCSJC0dFxuzncaJMyJgI4L77KKqpMYYX59XVRaQkbiYpLUalsJCMtjZWHDyI1eHg5KJFWDweNu/ciau8HGd5OZ1paRzp6ODIn/8M+Ia8ByYwpmMuXCChcDUWZh4SgAlXDMnJyUHZy5Ynn6Tyv/8b1WbDYbXS73cdO75kCceXLCGzpcUnizt7loo1a0wbCmkm+h/qyTaDj0Y4JHF2/4ZJqawksa+P+adPM//MGSgpoe3QIdSAjf9wW/XU1NQg+VW4spc1NTX09/eTkJBA4RS1U2Gd2zMJSRz45sLNnj2b2X5jg87OziD5VWdnp/HfQJCtuqIoZPjnYE2GgYEBQxJnxuY63G6kpaWlpj2Pwwk0JgKfrXrgdRnNVn1UY6JASdynPgUFBdgefhi8XhMi/9BXZMx0bTSDMY2Jdu3CfugQjXl51ARI95pyc/ndbbehVFaiqCr5u3Zh2bp1yucRKkmcmRJVnZB81gR8zuiqlrKqKjbv2gX4pIhVK1ZQ+e1vo9rt1NXV0dDQQENDA6+//rpPGVNaavRbTocxkfR/XRlIACZckVgsFrLLy8nev5/V+/fjjYrCXVSEqiioNhvVJSW0ZmXRmpXFwdpa+MEPKCoqGt1WfRqJRElc1+23G5K4igBJHACPPEJGdjYrsrNZsWKFYaseKL/q7OzkyJEjHDlyBAhf9vJKlsSBL/BdsmQJS5YsQdM0mpqajH5Lh8Nhnq26x4Pzb3/D6/WSHh9PlgnzscIliZuOjVNSUhILFy5k4cKFwAVbdd0EZ1RjouholF/9CqW1FS05+cLzaKIkDkJbkdH7v2aiJA4CjIkOHIDHHqMjNRVVUfjH9dczGBeHNzqaylmzqPQ/k8l79qC0thob/xG26tOILlFNS0szRaIKIfysCSi/Gok+/3OJxULs0BDKffehXHcd4FPGBCYw2tvbcTgcOByOIGMi/bqE2piou7uburo6IAKqjcKUmP4dpCBMFwG7siivl9Lqakqrq9m8axf9cXE4rVbUJUtQt24d21bdv8HMz88Pu1TA6/XicDiACJPEtbZCdTUFtbUk9/T4vj5GWjzQVn39+vVGJlb/sKytrQ3KXupZaP26FBUVmbY5i0RJXKBE1cxBxhaLhdzcXHJzc1m7di0ejwe3220EZNXV1ZOzVffvytSFC2HdOpTXXsNSUTHlXdmVIInTGZetOnD4llsASG9r872uuZm4gQHfm5hVfiU0FRkIf//XpPGXVdM6OymtrmYwLo6ooSE++j//g6usDLui4LBa6Y6LC7JVz87ODkpgTLSvz0zMlsSF/LNm2za8zz6LXR8r4w/WR/ucSU5OZtGiRSxatMinjGlpMZ6XsYyJ9L9joTAm0u/r/Pz8GdebJpiLBGDClctFdmXxg4PMOXeOOd/7HmzbFiS3CrJV9/9hT0pKCpLFpZuQtb8Ubreb/v5+EhMTKfBnsCdLOCVx9pwcqK5GWb0aNm+eUFo8NjbWWGO4IL/SM/7t7e04nU6cTqeRvdTlV1PJXka6JM5Miepo6D2IZWVlk7dV//OfjV2ZeuONgH/jZNKuLNSSODMlqmYxqq363/6G+vOfoyoK9QUFtPuloq3Z2Tzw5S/7jIkqK7H94x8UXH/9jKwuDQwMGC5xkSSJ0wd0l1VVUVxTQ3FNDev27cNTVkb19u1U+p+ZmpoampubaW5uZv/+/VgsFkpKSoznJdzGRGYmn8L1WVO7di19x48THx1N0Q9+AEVFl7ygFouF7OxssrOzueqqq8Y0Jjp06BCHDh0CzDcmEvnhlYMEYMKVzTh3ZampqSxdupSlS5catuqB7lc9PT0cP36c48ePA8HZS6vVOn751QSIVEmcHrQqmzfDFDdPgfIrTdOC5sLp2cvTp09z+vRpwOcuFxgojyt7GSCJy0hIINMEaVC4JXHhlrJMylb90CGUJUvIr6ujIT/fd952u6m7sitZEgd+W/X+fma98AIAncnJ/PTuu+lNSiKpu5ue5GQcFRU4KirYfvAgiadOjZBfzQScTqdPopqebto5hUMSp44iiQOI/tGPKFcUyhWFa665hr6+viBZXEtLi2FMtGvXrrAaE3V1dVFfX+87bxOCgnB91hjP4+zZRL3vfZN6j7AaE3k8aLt2oforoIrVOqlzFiIHCcAEYYK7MsNWPS/PkF8FDoV0u90jspfFxcXGH+Ux5VcTJFIlcZ2dnSFxbbRYLGRlZZGVlRUkvwqcC9fe3h6UvSwoKDCqY6MaJ/h3ZZW6JG7PHiyPPhoxkjhdojrdIwrGZas+ezZH/YYfAEnd3bhLSih3OIgfGDDNkVQkcReqc/0JCfQmJRE9NMQ9Dz9MR3q64UbqWLhwVFv1QPnVdBkTXc6SOPAlMAxbdaCtrS0osdTT0xM2YyL9vi4oKCA5OXnK7xeuz5pQVJKGGxN1dXUFJZYmbUzk/5xp6e2l/TOfIXpoiPLrroMf/ciUXkxhZiIBmCDAlHZlen9NeXl5kPxK3/gHyq/07KXeP2az2SaVvezv76fan0aMJEmcnpUMtSQOguVXY2Uv6+rqqKurY+/evSOzl3v3Yrn1VtA07BEoidMlqgkJCVOWqJrJqLbqv/kN6jPPoCoKNUVFYLHQk5zMMx/4AFEeDyXV1SiqiqKqFG/aNOMqTGZLVHVCLonzB+ZlLhdxQ0PkNDeT09LC6tpavE8+iTvAAEe3VW9tbTXmwhUVFRkBWTiNiSJRElezZg39x4+TEBND4Q9/OC5JnE5GRgYrVqwY1ZjI5XKF1JjI7Cp6OD5rQvU8DiclJWWEMdFwZcwljYkCon/1qqsAKK2qItblMtUQR5h5SAAmCCYzUfmVnr3UM2WpqakX/wEeD87nnsPr9ZIZoZK46agSTDR7mdjXh3LLLRS53T5JnKZFlCQucK1nWsASSExMDBU2GxUvv8w1L7/Mjz7/ebrS0ph95gxNubm0ZmXhKi/HVV7OK1VVxP/gB6Pbqk8juiQuIyMjolzixpLE8cgjRMXGjm6r7k8sBRoT6fKrcBgTdXV10dDQ4DvvSJXEvfe9k36f4cZEQ0NDuFwu842JdEmcX1ZvM0kSF47PmkCJqlnP46UINCZas2aNYUwUmMAYbkxUVFSE8txzKGVllFZXBz+PZjdfCzMOCcAEIcSMJr/STSNGy17m5uYa1bER2UvdJW7RIli7FmX3bogQSZzH45kxkji4RPayspLehAROLFrEiUWLAN8A6R3XXIOiqlTY7STMcElcKILdUM+Ia+rvpystjeihIW599lli/UPRVUVBXbQIdf780W3VA+RXZsikJorR12jiOIiwSOL8laxLSeIgwFZ9zhwAOjo6gvqUwmVMpN/XBQUFpjjQhUsSFyqJakxMzKjGRIFz4QKNieLj44NkcVlZWSMDZf/nTHNvLx1+SVyZSZK4cHzWzIRBxoHGRFu2bKGvry8ogdHU1ITb7ca9fDmvLl9O7MAAHv8vbTyPZkX/woxEAjBBCCOB8quxspeNjY00Njayb9++4Oyly0XR7bcT5fWivutdgD9TFkGSuIGBAVNcG81mRPby6adxf+UrqDYb+1etoiclBU9MDG9edRVvXnUVFq+XopoalGPHUKxWSkpKZsRcOB2zJaoQnhlx6g9+APgkcbFDQwBktrWx8uBBVv77v+O9+eYR8quOjg4OHz7M4cOHAZ99c6D8KtRSV4hMSZx79WoGjh8nMSaGggcfnJAkDnyB73BjouFz4UJhTGR2YuFyksTB1IyJKioqSP7Xvy5I4lavBvzPo4mSuFB/1sxEJ8GEhATmzp3L3LlzAb8y5plnsL/4Iqqi0O3v20vo7aVweLQ/1ehfmJHMnB2DIFyBTCh7CcTfdx8lVVU05uWBpmGNUEncdEvGLkV0URFlVVWUVlVxcMUKALZs305PcjKqotCUm4u7pAR3Swuv/uY3xMbGBsmv8vLypvV31CU4mZmZprjEhW1GnMMBnZ0XMsAQtCuLwtd3VFRUxIYNGxgcHMTlchkb/7q6Ourr66mvr+e1114jOjo6SH5VWFhouhyzs7OTxsZGwJw+mXBJ4ozenjlziLr11sm/EcHGROvWrcPj8QTN6xvNVn3CxkS6JM7fTxOJkjgzJarjYVLGRE1NKNdei6KqnPcrFUIhiQvVZ43ZEtVQkZ6ezvJ581j+6U+jWSz84+1v5801a6iw24kafiPOkLEWgrlIACYIM4jA7CVwYSjkvn3Yq6roS0ykUneKs1j4xSc/aZgTVKgqyREgiTPTEj0ckrjOtDRiBgdZv3cvMf6qTEdaGuqqVaif/jSqw0F3dzfnz5/n/PnzgG+4Z6D8Ks2EPr2JYOZah6si4/F4cPT3A2D78pehq+uSFzU2NhabzWZIWru7u4P6+jo6OnA4HDgcDrZv305iYqLptur6WhcWFkaUJC6UVYLo6GisVitWq3VMW/WxjIkURfHNhQtMYPjLr019fXT+278RPTRE6VvfGjGSOLMlqpNlNGOiwARGfX09dTk51G3YwN4NG4zF6EhNpbawkIK6OiwmSuJC8VljtkQ1pPg/ZyxuN43+0RtBySezmq+FGYkEYIIwgzGyl+fO4f3MZ6gtLDRsoqtKS2nPyODQihUc8ldpCl5/HWVw0BgKGQ751XgIlMSZ1f8VDklc5Q9/CPgkOHrwhcVCWmcny+6+m2XbtqFpGg0NDUHuV93d3Rw7doxj/pkuOTk5QfKr+Pj4KZ7gxdE3IWasdbgqMkES1RtuuLD7nQDJycksXryYxYsXo2kaLS0txubSbreHxFbd7N6ecEjiQiFRvRjjsVUf05jo9GlS3//+IElcudMpkjgTiIuLY9asWcyaNQuArt/+FvWHP8SuKJydM4cefz/l/jVr2L9mDYk9Pb5k36lT2JYtG9tWfRqJqN5X/+fMwPvfT1VpKTC6IY4YcFyeSAAmCJFAYSFRmkZxTQ3FNTVsfPVVBmJjcZWX+wwKFIX6ggLq+vup27uXvXv3Gk3AgfKr6ZLFORwONE0jKyvLlA/tcEni7JeQxIFP5pOfn09+fj7r1q1jaGiI6upqY+NfU1NDU1MTTU1NvPHGG0YWWjdaKSoqMmUunI7ZkrjpqMiYcZ9aLBays7PJzs5m9erVeL3eEa5kU7JV90viKv09TmYNTg2nJM4siepEmaiteu6nP41SWWlsUisiSBJn9vMYSlJKS1ly7BhLjh3jlc2b2bl1KwW1taR1dOCwWulNSvIZEzU0wI9/TFZWlvG8WK3WaZsLp6NpmqnJJwhxog9g2zacP/85XqeTjNZWslpbL/wQM6J/YcYiAZggRAKj7MriBgeZdf48s86fB4uFrlmzsD/7LKp/BllnZ6eR+X/55ZcN+ZUekIVz4xXpkjjlK18ZlyQOfH19uvwKoLe3N0h+1draSlVVFVVVVezcuZO4uLggWdxUbdX1tS4qKjJlQxSuGXGhkKgGohva6LbqAwMDOBwO47pMyFbdvytr7O+n6+67iRkcpOwtbxFJ3CQYbqs+ODh4oX/syBFqOztpzMvz9b36OblwIZ7oaGyqSpHbTVQESOLMkqhC6KXXuN3Y/ffGqjffZOWBA3iionCXlKAuW4b6rndR7XYbtuoHDhy4YKse0NcXbmOipqYmOjs7jd7PqRKWRB9QWVAATifKggXw9NMmX1RhpiIBmCBEAuPYlaV8//ssXrqUxX5Xsubm5iCZz2jyq0D3q1BmLyNZEpeUlDRpSRxAYmIiCxYsYMGCBQCGK5kelPX29o5pq15RUUGK3x3rkvh3ZapuLR5BFZlQSFQvRVxcXJCteuAcuIvaqre2onzxi6S3t6OuWQP4JHExESSJC5UluhnExsZeMCZqbKTnzjuxV1RwdPFizvpnK9YWFVFbVMQr11xDfF8fFW++ieLvuxzVVn0aMXutwyG97v/AB6guKQEu9CRFaxplVVWUPfwwW7Zto7+/PyiBYdiqu928+uqr02JMpH/OmOF+Gq5EHwRU/9evB3//t3D5IwGYIEQKE9iVWSwWcnJyyMnJYfXq1Xg8HmpqagxZnC6/OnDggJG9LCwsND4sLym/mgAdHR00NTVhsViMqtBUCJckzhicWlFh6sYhMzOTlStXsnLlSjRNo7a2duq26v5dmVZdjfqFL0BqKsrXvgadnRFRkTFbojoZUlNTR9iqB/b1GbbqAJ/7HNlNTQz5n5FSlytiJHEdHR0RI4mjsJCknh4WnjhBY24uZ+fNY9bZs8w9exZVUbBXVNCXmMjp7m5O/+MfgM9dLrCvbzrmwulommZqtTFc0mvnz36G1+kks6WFzLY239eHfc7Ex8cH2ap3dHQEJTCmw5jIzCp6uBJ9kSRRFcxFAjBBiCQmuSvTJRmlpaVs2bKF/v5+Yyiknr3U5Ve7d+82spf6RmYq2ctIl8SFskqgy3aG26rrm5hx2ar/5S/GrqwxL4+u1FRiBgcpPXQoYioygcHuTCDQVn3t2rV4PB6qq6tRt29H3bMHd3ExzTk5xvE7t2zh/OzZPkfSykpKdu4k+pprpnweoZTEmfU8Qngkcar/OZx/+jQrDh5k1Ztv4o2KonbpUioffhi7w2HYqgcmMAoKCoznJdzGRI2NjXR1dRETE0NZWdmU3iucFZnK/HyfJG7hwnFL4tLS0li2bBnLli0bYUzkdDpDbkzk8XhwOByAOVX0cPe+milRFSIDCcAEIdIwYVcWHx8fJL+6WPbyxRdfnFz2MoIlcX19fbjdbiB8kjgY3VY9sH+svb09yFY9ISGBilOnUFauRKmsNDap5U6nz7UxAioycEGmFc61ngjR0dGUl5dTnpDA1l//mr6EBN5YtYodb3kLFq8XLSqK6tJSqktL2bV5M3G7d1NeVze2rfo0EvGSuACXuChNo/g//oPizZvZ5O/r023VVVWloaGBuro66urqpsWYKFASN1VFQbgqMhBwj2zYAH7p9EQYy5gocC7cWMZEiqJQXFw8YWOiIBfVgoIJn/NwwpXom8lyYCG0SAAmCIL52ctASdwXvwgpKSj//u/Q0RFxkrj09PQpne9USE5OZtGiRSxatMiwVQ/s6+vr6+NURQWn/JWjmIEB3+u6u+lJTCSpt9e8XRmhqciYLVENKf7dVkJfHx5/JWXhiRO85aWXDDdSVVHoSU4e21ZdUUhNTZ2W0w90iYskSZzjZz9DczrJam4mYwxJHIxiq97VZTwr02FMZKYkLlwVmVBIVAONia655hp6e3tx+M2i7HY7LS0tI4yJrFar4RR7UWMiPdHn/2xSTJKMhyPRZ7ZEVYgsJAATBCGI4dlLj8dzwZVslOylxWKhpKTkQvZy/36ib70VNI2GvDy6U1KIHRigJIIkcTNxbk+grfpVV12F1+ul5oknUH/zG2Mu3FBcHABHly7l6JIlFNbWGrK4sg0bwu5KNh4iXRKnqCrp7e0sP3SI5YcPo5WUUP/aa1Q6HNjtdpxO50hb9dzcoARGnP+6hZpASdxUXeLCalKgS+IWL56QS1xKSgpLlixhyZIlaJpGU1NTUF9fKI2JzJbEhbsiY+bzOJzExMQx58LpxkRnz57l7NmzwAVjIj1YNoyJAsqv6kc/CmVlKD//ue++iIBEn5kSVSHymHmfxoIgzCiio6NHzV7qH5YjspcDA1j/z/9BUVU6/Jn+SJPEzcQAbDhRUVGUKAolu3axadcuzttsPPWhDxEzOEhWSwsN+fmGW9ye6mpiHnggSH5VUFAwI2RxZtvPh0MS1/fBD+IuLgZGDk61PPIIBcXFFBQXs379eoaGhoL6+mpra2lsbKSxsZF9+/YZ9vh6v2VRURFRUVFTPNHR0bPtkSaJM57HDRvAv2mfKBaLhdzcXHJzc1mzZg0ej2fUuXCmGBN5PFT/7W8MDg6SFBtLfkC/4GQJR0UGpudv32hz4fTqmNPpHGFMlJeXh+L1YnvkEcrq69Hi4y9IVA8ciLhEnxnPoxB5yBUXBGFCXDR7eeYMvcDZuXM563fHAuhJSuLo4sUodjspM1wS197eTnNzMxaLxbSgIBwVGZc/gzrv9Glu+eMf6UxJwa4oqIsXU7l8uSHH0j/0k5KSjIyyzWabFqml2YNTwyaJ++lP0ZxOspuaSG9v9319jF1ZTEzMBVt1oKenJ6ivr62tDafTidPp5JVXXiE+Pj5IFmemrbqZm+twSuJCIVHV+8HKysoMY6LhtuqTMibyZwDU2bNh82aUgwexVFRMOQMQjoqM2RLVyRA4F24sY6KGhgYagNdvu43ooSGym5vRoqJIa28nTX8eIyjRN1PMh4TwIgGYIAhTIih7+fTT1H3xi0YvjLO8HE9MDDXFxfz5llsAyKuvRzlyBKW4mPLy8rDJr8aL/qFYXFxMQkLClN8vHBUZ3vMeY3CqPrcntbubJceOseQb30B797tpamoyssq6rfqJEyc4ceIEAFlZWUYwZrVaTfndL0VDQwPd3d3ExsZS4s9gT5awSuLy8sDppGLJkgkPTk1KSmLhwoUs9M/7Ga2v7/Tp05w+fRowz1bd4/HgdDqByJLEhUKiOhoTsVUPNCbSr01aWlpQBkB929sAf4XUpAxAqCsyZkpUzWJUY6K//x31qadQFYX2jAwa8vMB6EhP54f33UeF3e6TXr/wAplvf/uUExihSPSZLVEVIg8JwARBMA1LURGFtbUU1tayfs8eBmNiqCoro1JRsCsKtYWFNOTn09DWxutPP23Ir/RsfyjlV+PFzKxkuCoyfX/4A+7jx4EASVzArswChvwqyFbdv7l0u920tLTQ0tLCm2++icViobi42NhclpSUTNiVbDxEuiTOtnEj+IcDT5asrCyysrJYtWoVXq83aC5cVVWVObbqHg9VfklccmwsednZUzpnuLwlcTAJY6LsbCp27cI2Zw4FNTXBElUTMwChrMiY+TyGiuTkZBZ5PCz661/RgJasLB6/4w66U1OJHRigLzGRUwsWcGrBAnjjDTLOng3q65spVu/V1dU+iWpSEvn+AFK4spiZT5ggCJHJsF1Z7NCQLxPp30T1JCVhX7WKys9/HtVup7293ZBf7dixw2erXlFhbPwzMzPD2qdkpiQunBUZx+LFaCdPkp2YSPrPfnbJXZlhq15eztatW+nr6wuSXzU3N1NdXU11dTWvvvoqsbGxhiuZmbbqZlowh0sSFyhRNdu1UbfjLi4uZuPGjYatun5d6uvrJ26rPlwSd+CASOImyFi26npFuaamhqbmZpoWLmT/woXGaILEnh7a09NJ6ewk2us1LQMQiooMRJAlur+sagFih4boTk3F4vVyz8MP05qVhWqz+YyJKipoa2vj4MGDHPSPQwns6ysrK5u2QDPwvp4JvbhC+JEATBAE87jEriypt5eF99zDwptuQtM0WltbjU2MYat+6hSnTp0CfPIrXRYXjuxlfX09PT09pkjiwlmRMayMFy2Cd75zwq9PSEhg3rx5zPNXc9rb24PkVz09PUG26ikpKUFz4SZjqz40NGRIcMzY8IVbEmeWRPVijGarrvePjctWfceOC5K4t78dgIoIksSZKVE1k0BbdcBnTPTb31L517+i2my0ZmX5vp6UxOMf/Shx/f1YHQ5fMsrhIEfTZtymO1ASZ2YAFpL+11HcSItqakju7SXZ7aakpoZNdjsDZ87gDKj0NzQ0UFtbS21tLXv27DHcB6fDmEj6vwQJwARBMJdx7sosFoshv9Jt1Wtra40hqrr86tChQxw6dAjwZS/16lgospf6h6LVap2y5C5cFRkwP3Odnp7O8uXLWb58OZqmUV9fHyS/6urq4ujRoxw9ehQItlUvLy8fORduOH5J3NDQkEjiJkBKSgqLFy9m8eLFaJpGc3NzUP/YCFv19naU66+npKoKd1ERALYIksRFiktcYmIi8+fMYf7f/w7Ajz/7Wdqysih1uWjKyaE3KemCMZHTSerDDwclMAxb9WmkqqrKJ1FNTjZNEhey/teARF/gOAggqPwal5jI7NmzmT17NoCRsNCfmc7OzjGNiRRFISMjYwonOTZ9fX243W5A+r+uZGbuXzRBECKXSezKAuVXmzZtYmBgAKfTOWr2cu/evSHJXpq5uQ5XRSaUkjjwBcoFBQUUFBRw9dVXMzQ0NGIu3HBb9aC5cMXFwX19uiRuzhzYtEkkcZPEYrGQk5NDTk4Oq1evxuv14na7jYpydVUVrenpHFi1igOrVgEQMzjI/lWrUFSV0qoqYma4JC4Uax1qR9L2zk7asrKweL184KmniB8YoK6ggEqbDXX+fFxlZSPmwuXl5QUlMKbDmCiwImNGFSjk/a/btqE9+yzq/v3A6L2vw0lNTb3oXLixjIn0/jGzKt4OhwNN08jOzp4W91lhZiABmCAIoWGKu7K4uLig7GWgjXoospdDQ0OGS5wZG75wVWR0+WE4JHHgk1/pfXrXXnstvb29QVnl1tZWXC4XLpfLsFU3+scqK8n+4AexaBrqO94BRJZLnJkSVbPRDW1KS0t9tupPPYXz29+mUlE4unQpfYmJDMXGsnvTJnZv2kTswADlTicVJ05gmz9/bFv1acJsiSqEx5FUvf9+AIrdbhL6+wEorKujsK6ODZ/7HIM33ji6rXpDA6+//vq0GROZGeyGq/+1YcMGuo8fJzYqipL774fi4nFH1GPNhTMSGNXVI4yJioqKDEn8VIyJRH4ogARggiBECCkpKaHLXgZI4lLi4sj193BMhXBUZGD6G+cTExNZsGABCxYsAKC1tTUoUO7r6+PMmTOcOXMGgLR776Xc6aTGL4mLJJc4MyWqoSa+uJg5Z88y5+xZzs+eTV9iImtef53exERURaErNZXzs2dzvqmJF3/2s9Ft1aeR6upqn0Q1OZm8vLwpv1+4HElVlwva2y9UZCAoAxALI23VAxIY02FM1NfXR01NDWDO35Fw9b8aElVFIeaDH5z8GxE8F24sYyK3243b7Q4yJtKvy7iMifzlV9XvaGqTAOyKRgIwQRAijrGyl/qH5cWyl4qiUFpaemEDrUvi5s6FjRtR9u83RRIHoa/IzCRJnE5mZiYrV65k5cqVeL1e6urqfFnlgwdxNTXRkZ7OsSVLjOOf/sAHUCorUVSVcpeLWJHEmSqJa+vqoiU7G4vXy5YdO0jo70cDGvPyqFyxAvWDH8Tpco20Vc/JMTaXVqv10n19JmMYy5jgEheuioymaaiDgwAon/0sfPzjl7yoycnJLFq0iEWLFqFp2qhz4UYzJtL/mWFMZLfbTZXEhav/NZR/+8YyJtKD5e7u7okZE/k/Z9o7O2n+3OeweL1Yb7wRfvhDEyJ/IRKRAEwQhIgnMHu5ZcsW+vv7g7KXTU1NI7KX5eXlKN3dKF//Onn19SGRxEFoKzK6JC4uLm7GSeLAJ4srKiqiqKiIjdXVDH7pS7jKynjxrW+lvqAAgPqCAuoLCnht/Xqih4YofeMNlOhobDYbBQUF0z4XTsdsiSqESRL3ne/43re62pDEWSwW8hobyfv4x1m3bRsej2dEX19TUxNNTU3s378fi8Uyoq8v1BVAMyu74arIBElUb7xxwg+5xWIhOzub7Oxsw5iopqZmxFy4sYyJSktLxzcXbhhmBzLh6H8NhUT1YkzGmEi/LuVHjhD/vvf53EiXLwf8ElW73cTyqxBpSAAmCMJlR3x8PHPnzmXu3LmAL3sZKPPp7u7m/PnznAf49KdJ7uqiOzkZgNyGBtMHdYWqIhM4OHWmS+IoLCR2cBBbZSV/v/56AG7+4x+J0jRURUG12ehIT8fR24tj+3a2b98+0lY9M3PaTr+qqsonUU1JITc3d8rvN1MkceBLYOi26tdcc43PVj0ggdHS0kJVVRVVVVXs3LmTuLi4oLlwOTk5psrient7TZXEhbsiY5ZEVTe0KSkpCY0xkS6J85uBKCaZ+ISj/9VsiepEmIgx0RtvvEGU10vJRz6Coqq4ysoA86XXQuQhAZggCJc96enpLFu2jGXLlqFpGg0NDVS+8AL2f/0Lh9VKd4AN9C8/+UlyGhsNWZx1xw7i3/KWaTz7sYlESVxrdzetfpe4eWfPEt/fz+Ljx9EsFpoXLkT91a9Q7XYcDsdIW/XMTCOrXFFRQWJiogknNj4iVRJn1yVx994Ln/jEuC5qYmIi8+fPZ/78+QC0tbUF9fX19vZy9uxZzp49C/jc5cy0VdclcTk5Oab0ooV7RlyoKjLDjYkuZauemJgYdF2CjIn85de2zk5adEncDTfAgw9OOfIPR/+rmc/jVLmoMdGJE7T29eEqL8dVXm68xkiImDkQUogoJAATBOGKwmKxkJ+fT35MDFc/9RRD0dFUl5ZS6a/C1BQV0ZSbS1NuLm+sXUvUnj2UVFUZG/+ioqIZUW0aGhrC5XIB5s2SCYsk7rvf9b1vdTXxfkkcFgsWIOdb3yJnzRpWr1lj2KoH9vW1trbS2trKwYMHAUb09YVyVlQkSuLq6uoMiWrxDTdMesebkZHBihUrWLFiBZqmUVdXFyS/Ms1WfZhJgWKSSUE4KjKhkKheitFs1XUXPz2BMaoxUUMDFXfdRUJfnyGJK6muJsHhMFV6Hcr+1+k2H7oYQcZEnZ203n03qqJwcv581FmziBkYoGT4HwAzBkIKEYUEYIIgXJn4090xHg9WhwOrw8G127fTm5iI3Wo1ZHGtWVmGrbouvwqUxWVnZ09LBtblcjE0NERqaio5OTlTfr+ZJImDYFv1zZs309/fHyS/amxspKamhpqaGnbv3k1MTIyvr89/XfLz8027Lj09PSKJ82OxWCgsLKSwsJD169czODgYJL+qra2dnK16QPSvfvazkJWF8p3vQF9fRFRkzJaoTpRAY6K1a9cG2aqrqorb7b5gTARY7ruPopoa+v3BcbndbrokLlT9r2ZLVENKYSGZra2sPHCA/vh41FmzqHA4iPZ4RhwnXFlIACYIwpXJGGnxxN5eFpw6xYLTp32SuYMHUf0bf7vdTm9vb7CtelpakN39VOVX4yVQ7hQpkjiv14t9YACYmCQOfH19c+bMYc6cOQBBcitVVenq6qKystKQJiUlJQXJr6bi7qY3++fm5o50N5sEl4skDiA2NtZYY/AFq3a73dj4j2arrvePGbbqf/6zEf23ZmQYElXrgQMRU5Ex83k0gzFt1V99FfXoUZpzcnAHGPe8fvXV1BUVoagqSmUlebt2Ydm61YTzMF9ZZ7ZEFUIvvcbtRvU/I0HJJ7MGQgoRhwRggiBcmYwzLZ6Zk8PKnBxWrlyJpmnU1tYam36Xy0VHRweHDx/msF82lZ+fHyS/mowr2Xgwc5hnOCVxvb29U5bEgU9+tXTpUpYuXYqmaTQ2No6YC3f8+HGOHz8OQHZ2tnFdrFbr+IZW+3dllREqidMlquGsEiQlJbFw4UIWLlyIpmm0trYasjjdVv306dOcPn0a8Nuq79uHsmABit1ubFINiWoEVGQgPMHuVDBs1Q8dgkcfpT0tjUPLl7Nz61bQNIZiY31z4fz9Zcl79qC0thrPzHTPhQvE7LUOh/R66H3vw+nvAVP8SSJTB0IKEYcEYIIgXLlMMC2uzxMrKipiw4YNDA4O4nK5jI1/XV0d9fX11NfX89prrxEdHR0kvyosLDTFVr2np4davz7tSpfEgd9WPS+PvLw8Q35VXV1tXBe3201zczPNzc2GrXpxcbFxXUpKSkaeT6Ak7p57IDMT5T//E3p7I0ISZ7ZEdTJYLBaysrLIysoybNVra2uN6phhqz5vHofmzQNNI6GvD4DMlhYGY2KIHRoy1aQgFBUZsyWqIcVfVk3v6PCtLTD77Fmu2b7dkF07y8vphhFz4QITGOGeCxeImQFYuKTXVb/+NUN2OymdneQ2Nvq+blb5VYhIJAATBOHKZgpp8djYWGw2m2GC0d3dHeRK1t7ejsPhwOFwsH37dhISEoL6x7KysiZ1ynoDel5enkjiRiE6Opry8nLKy8uD5Fd6Jaa5uZnq6mqqq6vZtWsXcXFxRv+YzWYjZ9cuLLfe6pPEZWbSlplJlMcjkrgpEhUVRXFxMcXFxRds1Z98EvXZZ1FtNhry8+nzO1seXbaMkwsXUuZy+WRxdjsFmzfPmN8lELMlqhBeSZxNVSmor6egvp6rX3+dofJyql56CdU/iiBwLtwbb7xh2ONPhzGRbsRjsViwTtE2P1zSawC1uBjsdpRZs7A8/bTJF1WIRCQAEwRBMCktnpyczKJFi1i0aBGaptHS0mIEY7r86tSpU5w6dQrwucsF9o8lJSVd/AcMc4mriKC5PXq1EMJfJTDkV/PmARds1fVguaenh3PnznHu3DkAUru7UW66iQpVpdPf01dSXU3cwIBI4kwkLi6O2bNmMfuFFwA4ryg89eEPE+XxkNzdTWdaGqrNhmqzgctF4g9/OLat+jQSaIluBuGSxAXNpAKj/Brz0ENU2GxU2GwjbdVVldbW1lGNifSALJTGRPp9XVJSMuUqXLik1xDwPK5bB0uXTu3NhMsCCcAEQRBCgMViITs7m+zsbEN+VVNTY2xiqqqqaGtr4+DBg4atemFhobG5LCsrC7ZVH0USZ/v2tyNKEufxeKZVEqcz3Fa9vr7ekMW5HA46k5M5smwZR5YtM17jtVg4N3s25U4ncREgiTNTohpSAqL/On+Jdfa5c7zv97+nKSfHF4AtWIBj9uyxbdX9CYxx9fWFADMt0cMliXP5JXGpHR3kXEISF2Srjq8KFWiA09fXFzZjIjMTC+GSXkeURFUIGxKACYIghAFdtlNSUnJBfuV0GrK4hoYGamtrqa2tZc+ePcTExFBWVuaTxTkc5H/oQ1g0jZYASVz5wYMRJ4mz2WwzSkZmsVgoKCigoKCA9evXM/TUU7j+v//P6IepLSwEi4XqsjKe/uAHifJ4KK2qQjl+HGXWrLFt1aeRQImqWZvfkEniAqJ/1S/lrVBVLEBuczO5zc2sue8+PDfdNGIunGGr/uabRn9m4Fy4cMjidElcVFQU5QGDdidDWCVxRUU+Sdzs2ROWxGVmZrJy5UpWrlyJ1+sNmgsXSmMiTdNMDXbDJb0OhURViHwkABMEQZgG4uLimD17NrP9rmO6rbpu4d3V1WVsal4Ckr74RRRVxeL1AlBaVRWRkjgzXBtDSUxxMYrdjmK34z51il994hPEDAyw+Ngx7IpCW2YmTqsVZ3MzO379a+Lj40f09U13gBlRkjiAbdsY/N//xeUf5GzTJXEB0X80GLbqW7Zsob+/32er7n9GmpqacLvduN1uXn31VWJjY4PmwuXl5YXkuuhrHbGSuKuvhiVLJv0+UVFRoxoT6Ykl04yJPB5q//EPn4tqdDTFBQWTPmedcEivwfznUbg8kABMEARhBjDcVr2pqckni9u/H0ddHT3JyRxfvNg4viE3l7+/853YVBWrw0HCDJbEdXd3U1dXB5i7CQlJVWYUk4JZlZW8629/A6AlKwt15UrUj30Mu8Mxuq16gPwqOTl5iic0MTRNizyXOMC1fDmeEydIi48n+8c/hqKii17Q+Ph45s6dy9y5cwHo6OgIksV1d3dz/vx5zp8/D/j6MwP7x8yyVTezIhNOSZwuUTU7ITKaMVHgdeno6Ji4MZE/A6CWl8Nb30rFiRNE22xTzgCEQ3oN5t4jwuWDBGCCIAgzDIvFQm5uLrm5uay12/F87nNUFxcbsjh3cTG9ycm8uXo1b65ejcXrpXjfPhRNG9tWfRoJhSQuZFWZMSRxAFgsZLW2kvWpT7Fq2zbDVj2wr6+9vZ1Dhw5x6NAhAAoKCoL6+kI1F06ntbWV9vb2yJPE6UHj/PlYbrppwq9PS0tj2bJlLFu2DE3TaGhoCJoL193dbbqtutfrNTXYDZckzmwX1YuRnJzM4sWLWbx4sWFMNHwu3EWNiZ5/3sgAqNdcA/ifR5MyAKGWXpspURUuLyQAEwRBmMkUFhLt8VDuclHucrH1lVfoi4/HYbX6DAoUheacHKr7+qjetYtdu3YRGxuL1Wo1NjK5ubnTKosLxeDUkFZl/JK4qqNHgdElcRBsq75x40YGBgaC5sLV19dTV1dHXV0de/fuJTo62ujr0+VXZl8Xfa1LS0uJi4ub0ntNiyTOhHvEYrGQn59Pfn4+69atY2hoiOrqamPjP5qtuj4Xbty26h4Pdf/4B319fcRHmCRuuhwyA42JVq9ejdfrHdHXN8KYqLER5ZprKHM6cfpdG22qamoGIJTSazMlqsLlhQRggiAIM5lRdmUJ/f3MO3OGeWfOgMVC+9y5qL/7nTG3Z7itekpKSpD8KpyN4IGSOF2WNBXCVZVxLltmSOKyfvKTS0riwNfXN2vWLGbNmgVAV1eXYd9dWVlJZ2enkfl/+eWXSUxMNORXNpvNFFv1SHSJC5SohqJHMCYmBqvVasyNGs1WvaqqiqqqqvHZqvvLr5VWK7zlLVhPnCBKUSJCEme2RHUqREVFUVpaSmlpKZs3b6a/vx+n02lcl8bGRmpzc6nNzWWPP+qMHhrizJw5DMbEUFBfj8WkDEAopNcg8kNhbCQAEwRBmMmMY1eW/p3vsHzlSpavXGnYquubGKfTSVdXF0ePHuWov6KTm5sb5EoWysxsS0sL7e3tRvVnqoSrKjNVSRz4At9A+VVzc3PQXLje3l5OnjzJyZMnAZ+7XKD8KtE/lHi8eL3eiHSJ0885Pz/fVMvysbiYrbp+Xca0VT95kpT3v98nibv2WgCUysqIksS1tbXNSElcfHw8c+bMYc6cOQB0/va3qA89hKoonJo/n8G4ODwxMbx03XUAJHV3o6gqFadPY1u+nPT09Ok8/RGYLVEVLi8kABMEQZjpTGBXFmirfvXVVzM0NERVVZWxwaypqaGxsZHGxkb27dtn2OPrG8zi4mJTbdXNlMRB+KoyZlbtwHddcnJyyMnJYfXq1Xg8HmpqagxZXHV1Na2trRw4cIADBw5gsViMuXA2m42SkpLguXDD8Xio/fvfDUlcUX7+lM853JK46XLIDLRV1zQtqK9vVFv1T34Sq8NhDDKOJEmc2c9jKEktLWXpkSMsPXKE+rw86gsLWXLkCL2JiTisVsOY6Hh9PTzyCNnZ2UbV0mq1TttcOJ26ujrf8xgfT3Fx8bSeizDzkABMEAQhEpjkriwmJsaQU1177bX09PTgcDiMjX9raysulwuXy8Urr7xCfHx8UP/YCPnVBDF7cx2OqkxXVxf19fVA6IIC3Y67tLR0TFv1mpoaampq2L17t2Grrm8wg2zVdUlcRQVcey0Vx49HpCTOrGB3KujzxIbbqquqinr0KHVdXdQXFFCv93xpGn+74QZsqoqiqhRWVxM1gyVxoajIhGxGnD8D0N3aSr3/gX7rCy+Q0t2NJzqa6pIS1GXLUG+4AXdNDc3NzTQ3Nxtz4YqLi43nZTqMifT+L6vVOuNmBQrTjwRggiAIkYIJu7KkpKQx5VeqqtLX1zem/EpRlPHbqns8eHftwn72LAA2f//NVAlHVUaXxBUUFITNRn4ituovvvjiBVv11laUz3+etI4O7BEoiTNbomo2QbbqTU1033kn9ooKXt20iYb8fLBYcFZU4KyoYPu115LQ20vFgQMo/r7LUW3VpwmzJaoQ4hlx/gyA/RvfACC/ro6U7m7ft7xenzHRj37E1m3b6OvrC0osNTc3U11dTXV1tTEXLtzGRCI/FC6GBGCCIAhXMIHyK6/XS11dnbGJGVV+lZ9vyOLGtFX378pqgP477ySht5fCDRtM2bGHoyoz3ZI4uLitutPpvGCrDvD5z5Pd1ESzf7NfUl0tkrhQUFhIck8Pi06cYLc/wr/u+eeJ8XhQFQV7RQV9iYmc6uri1N//Doxiq56UNG2nX1tba0jiioqKpvx+YZkRt20banU1tLZeGAcBIzIACQkJzJs3j3nz5gHQ3t4elMAItzHR4OAgVVVVwMyo7AozDwnABEEQBMDnSqbLrzZu3Mjg4GCQK1l9fb3x77XXXjOqFrrMp6CggKi//MXYlVVu2gRAhd1OVHW1abuyUFZlZpokDsa2VVd37EDdu5eaoiKac3KM43/5iU9QUl2NoqoolZUU79xJtH+G0mQRSRxG+bWrrc2QIC45dozk7m6u2r8fb1QUNcuW+YwjHA6qqqpG2qr7+/r0uXAX7eszGV0SV1FRMWVJXLjcSDVNQ/V6AbB98pPwkY+M66Kmp6ezfPlyli9fbhgT6YmlcBgTOZ1OPB4PaWlpM6oKKswcJAATBEEQRiU2NjbIVr27uzsoq9zR0WHYqm/fvt1nq37iBMqKFSiqit2/qVZMNimA0FVlmpub6ejomLGSOAiwVU9I4Jpf/YrehAT+cvPNnJ03j/i+PvoTEqgqK6OqrIydW7YQt2cP1vp6Y4OZk5MzrXPhdCJWEvfNbwJQUFtLsl8Sh8VClKZR8rWvUbJlC5uAgYEBnE6nsfFvaGigtraW2tpa9uzZQ0xMTNBcuIKCgpBeFzPXOlxupEES1RtugElUSQONidavX8/Q0FDQvL7a2lrTjYkCEwsz4VkTZh4SgAmCIAjjIjk5eUxbdYfD4bNVVxRO6hs8f3rcGxVFb2Iiib295k3uJTRVGX3jNKa8cibhNyZI7OujLTMTgBv+9jdK3G5URTH+9SYlcfbsWc76+/FSU1OD5FfhsH4fjZqaGvr7+0lISKBwql72zCxJHPjmws2ePZvZs2cDGHPg9LlwXV1dxvMDvv5MXapos9lMtVXXh4RDZM2IC4VENSYmxrj3AXp6eoLmwrW1tU3emMhfflX9FU/FpN5X4fJDAjBBEARhwgy3Vfd6vbifeAL1ySdRFYXqkhK8/nLUP9/5Tv75jndQVFNjyOJKN2wIq/xqvESqJK7Bbzuv2O0k9fSw4uBBVhw6hFZSQt3evah+KanT6aSzs5MjR45w5MgRAPLy8oLkV+HqxQrstYsoSZzHA4DtU5+CO+4Y90VNTU1lyZIlLFmyBE3TaGpqMqpjDoeDnp4ejh8/zvHjxwHIysoy+i2naqvucrnwer2kp6ebIokL14y4cBhZJCUlsXDhQhYuXAj4qm6Bc+HGbUzkL792tbZS/6Uv+c77Pe+BBx4wIfIXLjdm3qefIAiCEHFERUVRqiiU7tzJ5p076Y+Lw2m1GlWYxrw8aoqLqSkuZnd1NTEPPEB5ebmxicnPz592qY7X68XhcACRJYlTv/UtwCeJS+rp8X3Pv5aWRx6hsKSEwpIS1q9fb5gD6Bv/2tpaGhoaaGho4PXXX/ddx9JSY+NfWFgYMgttMzfX4ZLEBUlUb7wRJlkltVgs5Obmkpuby9q1a/F4PL6+Pv/G3+1209LSQktLy9Rs1f3Rf6W/10mpqDDlOQuHG2koJKrjISsri6ysLFatWoXX6w2aC1dVVTW6MZHHg/LII5TX12P3O5kW1NaSXFlpYvlVuJyQAEwQBEEwh4BdWfzAAHPOnmWOX/bWmZrqC8YWL0Zdtoyuri4qKysNY4Dk5GQqKiqMgMxM+dV4cbvd9Pf3k5iYSIE+52kKhE0SV1UFbW0++3mdMRxJYmNjR8ivAvv62tvbcTqdOJ1OduzYQUJCgjFHzmazkZmZacoGfmBgwHCJi0RJnNkS1ejoaMrLyykvL2fr1q2Grbp+XSZlqx4Q/auf/jTk56P86Ee+oCwC3EjNlqhOhqioKIqLiykuLmbjxo2GlHOEMRHw2m23ET005JNag0+ianLvq3D5IAGYIAiCYA4X2ZWldnWx9OhRln7962jvfjeNjY1B/WPd3d1B8qvs7GxjczlV+dV4iXhJ3F13wUc/OiGdY1JSEosWLWLRokVomkZrayuVlZVB8qtTp05x6tQpwOcup1fHpmKr7nQ68Xq9ZGRkkOnvX5sKl5MkDkywVX/xRSP670pJMSSqFQcORIQbKZj7PJpFXFxckDFRV1cX9r//HfWZZ6i02ehMS6PLb2lv03sEzSq/CpcVEoAJgiAI5jGOXZkFX99RXl5ekPxKl8W53W6am5tpbm5m//79hvxK3/gXFxePT341QSJREtfU1ERnZyfR0dGU3nDDpCVx4JPF6fKrq666Cq/XS01NTZD8qr29nUOHDnHo0CHAZ6uuV8fGZauuS+L8/WeRJokzW6I6XkazVQ+cCzfCVr21FeVtb0OprKTTb7JiuDZGgBspRMYg45SUFBZ7vSz+f/8PDTg/axZP33YbUUNDlPlNTwymWn4VLismHIDt2rWLH/7whxw4cIDa2lr+/Oc/c/PNN495/J/+9Cd++tOfcvjwYfr7+1m4cCHf/OY3edvb3hZ0zHe/+13Onz/P4OAgs2fP5gtf+AIf+tCHRn3P733ve/z7v/8799xzD4888ojxdU3T+Na3vsUvfvELWltbWbNmDf/93/9tNFYKgiAIYWCCu7JA+RVgyK/0SkxLS4shv9q1axdxcXFYrVZj42+GrXp/fz/V/ogpEiVx5eXlprs26nbcJSUlbNq0ybBV1zf+gbbqe/fuvbSteoAkzq5L4h58EIaGIkISZ7ZEdbIE2qpfffXVDA0NUVVVZVyXmpoaGjMzaVy7ln1r1xqLETswQFVJCcU1NUTNcDdSsyWqIcVfVrUArX6Dk3KXi9jBwVGPEwSYRADW3d3N0qVLueOOO7jlllsuefyuXbt461vfyne/+10yMjJ4/PHHufHGG9m3bx/Lly8HfA2PX/va15g3bx5xcXE899xz3HHHHeTl5QUFagD79+/nF7/4BUuWLBnxs37wgx/wox/9iCeeeII5c+Zw//3389a3vpUzZ86YPuVcEARBuAhT2JUNl1+1tbUZkjhdfjWWrXpFRcWk/t7rkrjMzMyIlMRVVFRM7Y3GwXBb9UAbdVVV6ezsHGGrbvT1nT1Lxgc+AJpGpy6J0zSRxJlATEyM0ad37bXX0vu732H/3veoVBTsimIEBVXl5fzPnXcS39eH1eFAOXUKZdGii9uqTxNmS1Qh9G6k+Mc/AMEjCswovwqXHRZNG61YP84XWyyXrICNxsKFC3nf+97H17/+9TGPWbFiBddffz3/+Z//aXytq6uLFStW8Nhjj3H//fezbNkyowKmaRpFRUXce++9fPnLXwZ8Gc38/HweeOABPvnJT17yvDo6OkhPT6e9vZ20tLQJ/U6CIAhC6NE0jbq6OmOj73K5GBoaCjomLy/PqI5d0lbdvyt7/sgR9rW1sXLFCm648cYpn6fHA1brpSVxdvvkN4Eej4cf/OAHDAwM8IlPfGLajAoAw1Y9sK9vYGAg6Jis5mYUVSXa42Hf2rUU1tTwiV/8wpzFCCBUG+3HH38cl8vFDTfcwMqVK6f+hqHilVdg61YAGnNyeOzf/g2Lx8PcM2dwVFTQl5gYdPiYturTyPPPP8++fftYsWIFN5rwPIbUjdT/A7y33soP7ruP/oQEPv6LX1BUU3Oh/CouiBFLqGKDsPeAeb1eOjs7x5xDoWka27dv58yZMzzwwANB37v77ru5/vrrectb3sL9998f9D273U5dXR3XXXed8bX4+Hg2b97M3r17Rw3A+vv76e/vN/6/o6NjKr+aIAiCEGIsFguFhYUUFhayfv16hoaGglzJAm3V9+3bF2SrrigKRUVFF6oXgS5xd90FeXkoP/gBDA5GjCRuYGBg2iVxEGyrvmbNGjweD26323ddDh2iuq2NluxsWrKzjdd0pqSw/ZprfHPhqquJnsGSOLMlqjohCRZHqchYnU7e97//i9dioa6wkMrly7HfeiuusWzVA+bCTcdAcjPt58PlRup+4gn6VZXEnh4KdG2xWeVX4bIj7AHYQw89RHd3N+9973uDvt7e3k5xcTH9/f1ER0fz2GOP8da3vtX4/u9//3sOHjzI/v37R33furo6wPeHI5D8/HycTueor/ne977Ht/zzUwRBEITIIyYmZoStui5VVFWVtra2IFv1+Ph4nyyuowPlq18lq7mZztRUGvPyIlYSpyjKjJOQRUdHU1ZWRllZGVtqa+n/6ldxWK1UKgpvrlqFFh1NV1oar27axKubNhE7MED5/v0o8fEoikJeXt6M+p3MlqhCCKsyAdG/arMBGCMKooCi2lqK/uu/2LhtG4ODg7hcLqPf0rBVr6/ntddeM66jXlEuKCgIufyys7OThoYGYOrS2nC5kQKoZWWgqlSUlRH11FMm6xyFy42wBmDPPPMM3/zmN/l//+//kZeXF/S91NRUDh8+TFdXFy+//DKf//znURSFLVu2UFVVxT333MMLL7xwSSvi4X+wNU0b84/4V7/6VT7/+c8b/9/R0UFpaekkfztBEARhuklKSmLhwoUsXLjQsFXXgzHdVv306dOcBvjMZ0hvayOjrQ2A/Lo63wwfcYkzl8JC4vv7mXvmDFktLexfs4bowUHe8c9/GsO6u1NSON/Tw/kXXgB8c+ECZXHT3RZg9lqHvCqzbRueZ5/FcfAgEGCJPiz6j42NxWazYfMHat3d3UF9fR0dHdjtdux2O9u3bycxMTFoXp9ZwWggevWrsLBw0mMOdMLlRgoB98jatTCTJarCjCBsAdgf/vAHPvaxj/Hss8/ylre8ZcT3o6KijLkKy5Yt49SpU3zve99jy5YtHDhwgIaGhiDNtcfjYdeuXTz66KP09/cb8ou6urogHXxDQ8OIqphOfHw88fHxZv6agiAIwgwh0FZ91apVeL1eamtrUV96CXXHDlxlZbRnZNCekQFAfWEhP//kJ1FUFaWykrJXXiH22munfB4iibsgiav0n2u5y8XKgwdZefAgmsVCw+LFVD72GHaHw5gLd+zYMY4dOwZATk5O0Fy4cH92mxmAhasq477qKgaOHycxJoaCBx+EoqJLXtDk5GQWL17M4sWL0TSN5ubmoL6+3t5eTp48ycmTJwHIzMw0qmMVFRUkDusvmwxmrnW43EhD9TwKly9hCcCeeeYZPvrRj/LMM89w/fXXj+s1mqYZ/VnXXnut8UdY54477mDevHl8+ctfJjo6moqKCgoKCnjxxRcNd8WBgQF27tw5opdMEARBuPKIioqiuLiY4rg4Nv7mNwzExuIqLzfc4uoLCqgrLKSusJC969cTvWcPZW63sfEvLCycMbI4h8OBpmlkZWWR4Q8gp0o4JHF2/+ZUl8RhsWAB8r/xDfLXr+dqf1+fPhdOt1VvamqiqamJN954w7DH1zf+RUVFIZkLp9PR0UFjYyNgjttkuKoyRiAzdy6W97xnwq+3WCzk5OSQk5PD6tWr8Xq9F/r6VJXq6mpaW1tpbW3loL/SVlRUZDwvpaWll54LNwxN06j03xtmBDLhciMNhURVuLyZcADW1dXF+fPnjf+32+0cPnyYrKwsysrK+OpXv4rb7ebJJ58EfMHXhz/8YX784x+zdu1ao1crMTGR9PR0wNeLtWrVKmw2GwMDA/zjH//gySef5Kc//SngkycuWrQo6DySk5PJzs42vm6xWLj33nv57ne/a9jkfve73yUpKYkPfOADk1gaQRAE4bLEv9uKGxxk1vnzzPJ/pnUlJ2NXFFRFodJmozMtzZBfvfzyyyQmJhpW9zabzbTAZzJEuiROGUMSB76+PqvVitVq9dmq9/YG9fW1trbicrlwuVzs3LmTuLi4IFmc2bbquiSuqKjIlApPuGfEmTWiQDe0KS0tZfPmzfT39wfNhWtsbKSmpoaamhp2795NTEwM5eXlxnXJz8+/+HXxeGh6/nm6urqIiYqirLh4yuccjgHdEEFyYGHGMOEA7M0332Sr394UMHqobr/9dp544glqa2txBUz//vnPf87Q0BB33303d999t/F1/XjwaY7vuusuqqurSUxMZN68efzud7/jfe9734TO7b777qO3t5e77rrLGMT8wgsvyAwwQRAE4QJj7MpSurtZfOwYi48fRyspoXn/fiodDiMI6+3t5cSJE5w4cQLwya8URcFms2G1Wk3ZnI+XSJTEVa9axcDx4yTFxlLw0EPjksSBL2G7YMECFixYADCir6+3t5czZ85w5swZINhWvaKigpSUlMmfNOZvrsNRlQmUxOn9XWYTHx/PnDlzmDNnDkDQHDhVVenq6qKystKoaCUnJwcFynoSHjDKr5XFxfCOd1B27hwxs2ZNufwaDjdSkABMmDhTmgN2uSFzwARBEK4Q9JIPjL4rG1byCbJV98uvAj8+LRYLRUVFRnWspKRkwvKr8dLR0cHDDz+MxWLhS1/60pQDv4CxURdlx46pSeJ27NjBrl27WLRoEbfccsvk3ygATdN8fX0Bc+E8Hk/QMZO2Vfd40Hbt4kd79tDl8fDh226jwoRgJhwz4s6cOcPvf/97srKy+MxnPjOl850MmqbR2NgY1D82ODgYdEx2drbvujQ0YP30p0no6+OZ97+fs3Pn8pYXXmD9a6/5DjTBkXQ0eW1pqTlupJ2dnfzoRz8CfIWAcCZihNBz2cwBEwRBEIRpZ4Ie8UG26lu20N/fj8PhMDaYTU1NuN1u3G43u3fvJjY2Nkh+Zaatup5tv9IlcXAh8C0qKmLDhg2Grbp+Xerq6kbYqgfOhSssLBzdVt2/Y28cGKDrrruIGRyk9Jpr4OGHI2JGXCjWeiJYLBby8vLIy8tj7dq1eDweqqurjevidrtpbm6mubmZ/YDlvvsodrup8Zf9rA6HqeXXcLiRmvU8ClcGEoAJgiAIVyZT2JXFx8czd+5c5s6dC/iypIHyq+7ubs6fP2/0TJtpqx6Jkri+vj7cbjcQOkkcjG6rHtg/1t7ejsPvtLh9+3YSEhKCZHFZWVlBDXHq2rUAlDudxFRVRdyMuFCu9USIjo6mvLyc8vJytm7dSl9fHw6Hg8pXX8V+9CjNOTlUB4wBevL22yl3OlEqK7GpKjm7dmEZT5n2oudgvhspiPxQmBwSgAmCIAhXLibtytLS0li2bBnLli1D0zQaGhqMTb/T6TTHVt0viVP9FuCK1Trl84bwGBUEujYG9f6EmOTkZBYtWsSiRYvQNI2WlpYRc+FOnTrFqVOnAMjIyEB5/XWU+fOpsNtRA10bTZ7cG6qqTEdHB01NTVgsFqwm3SNmk5CQwLx585h36BA8+iht6en84x3v4Ny8eUQPDTEQH8+5OXM45+8vS92zB6W93ejrmym9/ZqmSQAmTAoJwARBEATBRCwWC/n5+eTn57Nu3TrDVl3f+A+3VbdYLJSUlBgBWXFx8Uhbdb8krmFwkO5Pf5rYgQFKtm6NOEncdG5SLRYL2dnZZGdnc9VVV+H1eqmpqaGyshK73U5VVRVtbW0cnDePg/PmgaZh8S9GXH8/QzExxAwNmTe5l9BUZSJKEucvq2a0t9ObnAzAO/7+d4pqa1EVBdVmw1VWRidw5MgRjhw5AkBeXp7Rb1leXk5cXNy0nH5jY6PPtTEmhtKACp4gXAoJwARBEAQhhATaql9zzTX09vYG9Y+1tLRQVVVFVVWVYatutVqNgCxn1y4st97qk8StWweIJM4M9HliJSUlbN68mYGBAZy/+Q2Vf/wjqs1GY14emj8C/fu73sW/3vEOylwunyzObid/8+YZMxcukFAEuyEZ0A1G+bWvqQm333Z+lqqS3t5OYV0d6197jaHyclwvvojqf2Zqa2tpaGigoaGBffv2Gfb4+vNSVFQ0el9fCNDXury8PGSmO8LlidwtgiAIghBGEhMTmT9/PvPnzwegra0tqH+st7eXs2fPcvbsWQBSu7tRbroJpbKSs7NnA/45WhEiiWtvb6e5uXlGS+IA4uLifHNE//UvAJ5/29vYt24dGa2tDMXE0JWaimqzodpsvORykfTgg0Fz4cIprRyLUEjiQjagG4zyq+NrX0OLiiKruZn09nbf9/zBbcxDD6HMmoUyaxYAPT09QX19bW1tOJ1OnE4nO3bsID4+fkRfX6gC5ZlQ2RUiEwnABEEQBGEaycjIYMWKFaxYsQJN06irqzNkcU67nc7kZI4sW8aRZcuM19Tl53Nu1izKnU7iIkQSV1xcTEJCginvGeqKDG437pISADbt3Mmyw4dpys2l0mZDXbAAh81GT08Px48f5/jx44DPVl0PxqxWq2m/60RoaGigu7ub2NhYSvznPxVCPqAbYNs2VLcbWlp8vXY6Y5Rfk5KSWLhwIQsXLgQYta/v9OnTnD59GoD09PSguXDJfqnjVPF4PDgcDkACMGHiSAAmCIIgCDMEi8VCYWEhhYWFPlv1p56i6utfp1JRsCsKtUVFABxdtoyjy5YRPTREaVUVFcePY5s9e2xb9WnEbEv0cFRk+j74QUMSp6gqFiC3qYncpibWfulLeG66aUxb9TfffBOLxUJxcbGx8S8pKRnZ1xcCzJTEhWtAN4Dqr1Apd9wBt902oag6KyuLrKwsVq1ahdfrHTEXrr29nUOHDnHo0CEACgoKjOtSVlY2/rlww6iurmZwcJDk5GTy8/Mn9R7ClYsEYIIgCIIwQ4ktLkZRVZ/kEOhJSkKtqDAMCtozMnBUVOBobmbHr341wlY9MzNzWvuUAiVxZvR/hasiY3/sMTSXi+ymJtI7OnxfD6jIRMOotur6xr+5uZnq6mqqq6vZtWsXsbGxQX19ubm5IbkuZkriXn01OMgdjqaZ40cSKFGtuOEGmELlMCoqiuLiYoqLi9m4cSMDAwNBc+Hq6+upq6ujrq6OvXv3GvP9AufCXfK6+MuvlX5H0wqrdUb2AgozGwnABEEQBGGmMswjPqmnh0UnTrDoxAk0oDUri8qVK1E/+lHsDseotuq6LK6iooKkpKSwnn59fT09PT2mSOLCWpHJywOXC2XJEnj66UtWZAxb9XnzAF9QEdjX19PTw7lz5zh37hwAKSkpQXPhzLBVHxoawul0AuYEYOEe0G2mRFUnLi6OWbNmMcvfP9bV1WX0j1VWVtLZ2Yndbsdut/Pyyy+TmJhoJDBsNhsZGRnBbxhQfrV/7GNQWory2GMQFWVC5C9cSUgAJgiCIAgzlYt4xFssFrJaW8n61Ke4ats2w1Zd3/TrtuqB8qvCwsIg+VWondv0zbXVap2yBC9cFRkIqCRt3Aj+oGoipKens3z5cpYvX46madTX1wfNhevq6uLo0aMcPXoUgNzcXOO6lJeXj28u3DACJXF5eXkTfv1wwjGgG8yXqF6MlJQUFi9ezOLFi9E0jebm5qD+sd7eXk6ePMlJ/6y9zMzMC/1jJ06Q+L73gabRl5BwQaJ68KCJ5VfhSkECMEEQBEGYyYzTIz7QVn3Tpk0+W3Wn09hgNjQ0UFtbS21tLXv27CEmJiZIflVQUGC6lMpMSVy4KjJtbW20tLSY5tposVgoKCigoKCAq6++mqGhIaqqqoLmwjU2NtLY2GjYqg+fC3fRvr5hkjilosKU6xiOAd1mS1QngsViIScnh5ycHFavXo3H4wmaC1ddXU1raysHDhzgwIEDWLxeCu+8E6WykpihIbSoKJ9Etb3d3PKrcEUgAZggCIIgzHQm4RFv2Kr7reu7urqCZHGdnZ3Gf4PPXS6wf2yE/GqCmC2JC3dFJhSSOPDNhauoqKCiooJrr72Wnp4eHA4HlZWVhq26y+XC5XLxyiuvEB8fb/SP2Wy2YFv1QEncnXdCSQnKf/+3LyCIgAHdZkpUp0p0dDSlpaWUlpayZcsW+vv7L/T1HT9OU08PNcXF1PgrX8AF10Yzy6/CFYEEYIIgCIIQCUzRIz4lJYUlS5awZMkSNE2jqanJCMAcDgc9PT2cOHGCEydOAD53uUD77okGI1VVVQwNDZGSkkJubu6kz1snHBUZCP9sp6SkJBYsWMCCBQsAaG1tNaowqqrS19fHmTNnOHPmDABpaWm+69LcjPLZz5Lc3U1vQgI1fodM5cCBiBvQbYZE1Wzi4+OZO3cuc+fOhbY2Oj71KZ8Bjs3G8UWL0KKiDHMcg6mWX4UrBgnABEEQBOEKw2KxkJubS25uLmvWrMHj8eB2u42ArLq6mpaWFlpaWgxb9aKiIiMgKy0tHXvD7JfEqSZL4sJRkdE0DbvdDoRfEqeTmZnJqlWrDFt1fS6c3tfX0dHB4cOHOQzwpS9RUFtLenu7TxLX2EhaR0dEDOiGCBpkXFhIWkcHy44cwepwcGzJEvB6sfrngAUeJwjjQQIwQRAEQbjC0e24y8rKguRXeiWmqakJt9uN2+3m1VdfJTY2lvLyckMWZ9iqB0ji1I9/HIqLUf7rv3w/xASDglBXZOrq6ujp6SEuLo7iAKnZdBEVFUVRURFFRUVs3LiRwcFBX1/fzp2ob75JfUEBdYWF1Pk3/i3Z2Tz54Q8bowsKdu0iauvWKZ9HKAZ0my1R1QnJkO6A8qvqP9cSt5uE/n7f980qvwpXDBKACYIgCIIQRJD8igu26rosrru7m/Pnz3P+/HnAb6seE0PFE0+gtLcTm5gYEkkchKciMxMlcQCxsbE+W/X9++FnP6M7ORm1ooLnbryRgfh4tKgo7P6h3S8Dibt3U9HUFDQXbqZgtkQVQjikO6D8qvoro0b/l1nlV+GKQgIwQRAEQRAuynBb9YaGBqM65nA4fLbqwNGbbwYgze8Ml9bWRpxeJTDRJS4UFRkIryX6lPBXvJK7uymprmYgPh68Xj7+y19SXVqKqig4rFZ6ExLGtlWvqCAxMXHafoVA+aEZEtWQD+netg3t2Wex798PgE3v/zKr/CpcUUgAJgiCIAjCuLFYLOTn55Ofn3/BVv1vf0N99FFUm42aoiI60tMB6MjI4Adf/jIl1dVUqCq2556j+MYbL26rPk0MDQ3hcrkAc/u/wiWJK62upqi2lqLaWlbv34+3tBT3rl2ofie/4bbqwIi+vlDPhQvEzP6vcA3prrv6anqOHycuOpri730PiorMK78KVxQSgAmCIAiCMGliYmKo6OujYvt2rt2+nd7EROxWK6rNhqootGZl4Sovx1Vezs7Dh4k/dcqwVVcUhezsbNPnj00Gl8vF0NAQqamp5OTkmPKe4ZDE2f0BjOHI51/LqIcfprS8nNLycjZv3kx/f3/QXLjGxkZqamqoqalh9+7dxMTEGH19iqKQn58fsuvS29tLTU2N77xNCMDCNaTbkKjabES///2TfyPhikcCMEEQBEEQpkaA+1tiby8LTp1iwalTALRmZKAqCqrNhn3pUnr7+0e3Vff/S05OnpZfIVIlceqbbwIBPUljSOLi4+OZM2cOc+bMAQiaA6eqKl1dXVRWVlLpf5/k5OSguXDp/qqmGehOk7m5uaSmpk75/cI1pDtiJKrCjEcCMEEQBEEQpsZFhnRltrWx8tAhVjY24n3qKeoaG41Nv8vlumCrfvgwAPn5+camv7y8nNjY2LD8CpEqievVJXHf//6EJHGpqaksXbqUpUuXomkajQHXxeFw0N3dzfHjxzl+/DgA2dnZxnWxWq1TGlJttv18OIZ0h0qiKlyZSAAmCIIgCMLUGOeQrqjYWMNWfcOGDQwODuJyuYyNf11dHfX19dTX1/Paa68RHR1NaWmpsfEvLCwMSf9YT08Ptf7yiBnVjXBJ4vRq1VQlcRaLhby8PPLy8li7di0ej4fq6mpj/lhNTQ3Nzc00Nzezf/9+LBYLxcXFxhiC4uLi8blG6jPijh4FQLFaJ33OgYRjSHcoJKrClYsEYIIgCIIgTJ1JDOmKjY3FZrMZFYXu7m7sdrux8e/o6MDhcOBwONi+fTsJCQlBsrisrCxTTl2XxOXl5UWkJM7sQcbR0dGUl5dTXl7ONddcQ19fnzGCQFVVWlpaqK6uprq6ml27dhEXF4fVaqWiogKbzUZOTs5IGae/Ia61u5vWe+4hyuOh/J3vhAcfnLKDYDiGdJstURWubCQAEwRBEATBHKY4pCs5OZlFixaxaNEiNE2jpaXF2PTb7Xb6+vo4deoUp/z9ZRkZGUG26klJSZM67UiUxOnVQzA/ABtOQkIC8+fPZ/78+QC0tbUFXZeenh7Onj3L2bNnAZ+8MfC6pL74otEQp65cCUBJdTXxDodpM+JCPaQ7VMGucGUiAZggCIIgCOZh0pAui8VCdnY22dnZXHXVVXi9Xmpqaoz5Y1VVVbS1tXHw4EEOHjwI+GzV9SrMuGzVPR60XbsiVhLn8XimRRKXkZHBihUrWLFiBZqmUVdXF9TX19nZyZEjRzhy5AgAeS0tKNddh6KqnJ81C/C7NprZEEfohnSbLVEVBAnABEEQBEGY8URFRVFSUkJJSQmbN29mYGAAh3/G1XBb9T179hi26npANsJWPUAS16ZL4t7+dnjooYiSxNlstmmVxFksFgoLCyksLGT9+vWGWYV+XWpra2nIyqJh3TpeX7fOWIyO1FSqi4spqq0lyoyGOD+hGNJttkRVECQAEwRBEAQh4oiLixu3rfpLL71EUlLSBbv7M2dI/8AHfJK4VasAKK2qIs7pjDhJ3EyryMTExBjrDNDzu99h/973UG02zs6eTVdaGgAHV63i4KpVxPf1UWG3o5w6hbJ4MVlZWTOux2qmrrUQuVg0bbTi+JVJR0cH6enptLe3k+b/AyEIgiAIQmQxmq364OBg0DHZTU1UqCp1hYVUl5aydft2Nu3adUEfaLdPXbuGYfxnqiSuu7ubBx98EIAvfOELpKSkTPk8Q8Yrr8DWrQDs2rCBHW95C/l1dWS1tGCvqKAvMTHo8PT09KD+semaC6ejaRo/+clPaGtr4wMf+ACzZ8+e1vMRwkuoYgOpgAmCIAiCcFkxlq26qqqohw/jbmujOSeHZr13StM4vnAhnuholMpKStxuoiNEEmdW8BWKQBEIaohz+KtiKw4cYPX+/XgtFmqLilCXL0e95RZcVVW0t7dz6NAhDh06BEBBQYERkJWVlYVtLpxOa2srbW1tREVFUV5eHtafLVy+SAAmCIIgCMJlTaCt+ta6Ovq++lUcViuqzYaqKDTn5NCYn09jfj67Nm8mdmAA65tvoiQkoCgKubm5M0oWZ7Yjn78dboRU8sc/nrpUUm+IG/w//wdXWRngN+AAooDimhqKf/ITNm7bxsDAAC6XyzBaqa+vp66ujrq6Ovbu3Ut0dDRlZWVBc+FCfV30tS4tLSUuLi6kP0u4cpAATBAEQRCEK4fCQhL6+5l35gzzzpwBoD09HVVRjH89ycmc6+7m3L/+BUBKSsqF/jFFmVYjBk3Tggw4psqf/mQ4xAfhdpvWDgfbtuH65S/xOByktbeT3dzs+/qwhri4uDhmzZrFLL9TYldXlzF/rLKyks7OTux2O3a7nZdffpnExERDqmiz2cjIyJjiiY5E7OeFUCA9YAFID5ggCIIgXOZ4PGC1jukRr1ks1C9Zgvroo6gOB06nk6GhoaBjcnNzjWDMarWGtTLS3NzMo48+SnR0NPfdd9+Ufra+FIGVr0DMbId74YUXeO2111hWUMBNaWkT1jlqmkZzc7NRHbPb7QwMDAQdk5mZiaIo2Gw2rFYricP6yyaK1+vlhz/8IX19fXzsYx+jpKRkSu8nRB7SAyYIgiAIgjBVLuERbwEKvv51CjZs4OoNGxgaGqKqqsrY+NfU1NDY2EhjYyP79u0z7PH1gKy4uJioqKiQnb6ZkrhXXx07+ALf0pjlEG9Ukq6+GhYvnvDrLRYLOTk55OTksGbNGjweD2632zBaqa6uprW1lQMHDnDgwAEsFkvQXLiSkpJLz4UbRm1tLX19fcTHx1NUVDThcxaEsZAATBAEQRCEK4sJeMTHxMRQUVFhWJD39PTgcDiorKxEVVXa2tpwuVy4XC5eeeUV4uPjjeNtNpvptupmWqL7ZwubdtxYdHd3U19fD5gn5dP7wcrKytiyZQv9/f1Bc+Gamppwu9243W52795NbGws5eXlRqCcl5d38evi8aC+9BIAFampRIlgTDARCcAEQRAEQbjy2LYNbrppwtZ/SUlJLFiwgAULFgA+lzy9OqaqKn19fZw+fZrTp08DPlt1PRibqq261+s1HBDN6P8qLDT3uLHQg8b8/PyQ2crHx8czd+5c5s6dC/ikY4Fz4bq7uzl//jznz58HIDk5OaivL0he5nclUa+9FioqUH7zG/j+901yJREECcAEQRAEQbhSMcEjPjMzk1WrVrFq1Sq8Xi+1tbXGpr/Kb6t++PBhDh8+DPhs1fWAbEK26h4PNX//O/39/STExFCYlzel84Ygh/jR2uGMHrCNG6f2c6bDyCItLY1ly5axbNkyNE2joaHBuC5Op5Pu7m6OHTvGsWPHAMjJyfEFY/X1WD/1KSxeL1Wlpb7zrqyE1lYTXUmEKx0x4QhATDgEQRAEQTCLwcFBnE6nsfHXZXg6w23VCwoKRu8f81dkdikKO665hvknT/LevXtNqcjoLogwoh0OmHq8oWkajzzyCB0dHXzwgx80HA6nk6GhoQtz4VSVmpoaArfDFq+XnKYmGvPySG9r455HHsECpg/pFmY+YsIhCIIgCIIQQcTGxo5pq66qKh0dHSNs1SsqKoyALDMzM8gnXn3LWwD/HC2TfOIn0A43KZqbm+no6DBmsc0EYmJisFqtWK1WrrnmGnp7e339Y7t3ox47Rkt2No3+CqOiqhidYma6kghXNBKACYIgCIIghIGUlBQWL17M4sWLDVt1PRhzOBz09vZy8uRJTp48CUBmRgbKa6+hzJtHsdt9QRKnqr5gwGKBe+/19bJNoSIzyXa4caHLDycktwwziYmJzJ8/n/mHD8N//RdtGRn8zx130Jme7pMfDmeqriTCFY8EYIIgCIIgCGEm0FZ99erVeL3ekbbqbW0cmD+fA/PnGwFXfG8vbWlppLW3E+PxmFaRMaEdblTMdG0MOX63kZjBQTrT0wGo8JuejHacIEwWCcAEQRAEQRCmmaioKEpLSyktLWXz5s309/fjfPJJ1D/9CVVRDElcf2Iiv/3IR4gZHKTc6USprERxOMjXNFPt7s3A6/XicDgAc1wbdTye0FTrdFcSe2YmAAW1tST39Fz4vlmuJMIVjwRggiAIgiAIM4z4+HjmzJ7NnOefB6AjNRW7oqD6/3WlplI5axaVs2aB00nyQw+hKIrhsDgTzMTcbrfPtTEhgYKCAlPe0+9HMqJfzRSHeP+QbvXJJwG/1FNHD24feUQMOIQpIwGYIAiCIAjCTCTAJz6ts5OlR46w9MgRNKAxL49Kmw37ggU4FGWErXp2drZh5lFRUUF8fHzYTz/Qfn5Ud8cJEuBHEoRJfiQAaO9+N5WnTsHQUHD/l1muJIKABGCCIAiCIAgzE39Fhve8x1eB8UceFiCvsZG8xkbWffGLeG66ierqaiorKw1b9ebmZpqbm9m/fz8Wi4WSkhKjOlZcXEx0GKo4ZvZ/eTy+ytdow5NM9COhubmZzqEh34iAX/wCGhpM1jkKggRggiAIgiAIM5dx+MRHA+Xl5ZSXl3PNNdfQ19cXZHff0tJCVVUVVVVV7Nq1i7i4OKxWq1Ehy8nJMb1/rL+/n2r/+ZrR//Xqq8G//nDMcoiv9Fe9ysrKiL322sm/kSBcBAnABEEQBEEQZjIT9IlPSEjw2arPnw9AW1ubEYzZ7XZ6eno4e/YsZ8+eBSA1NdUIxhRFISUlZcqn7HQ68Xq9ZGZm+uaZTZHxOr9P1SHe7nc9VBRlam8kCBdBAjBBEARBEISZzhR84jMyMlixYgUrVqxA0zTq6uqMgMzlctHZ2cmRI0c4cuQIAHl5eUYwVl5eTlxc3IR/ptn28+N1fp+KQ7zH45EATAgLEoAJgiAIgiBcIVgsFgoLCyksLGT9+vUMDQ3hcrmMgKy2tpaGhgYaGhp4/fXXDXt8PSArKiq6uKGG3yNePXQIAJtJAViAH8mofWBmOMS73W4GBgZITEykUGZ9CSFEAjBBEARBEIQrlJiYGCO4Aujp6QnqH2tra8PpdOJ0OtmxYwfx8fFUVFQYr8nKyrrQP+b3iO9sb6fxC18ATcN6883wgx9M2T1wDD8SwDyH+EDXxpk2U024vJAATBAEQRAEQQAgKSmJhQsXsnDhQjRNo7W1Nah/rK+vj9OnT3P69GkA0tPTfcFYUxPKZz5DUk8P6tKlABTV1JCkqqZ5xI/Dj2RKmC2bFISxsGjaaIXcK5OOjg7S09Npb2+fEQMMBUEQBEEQZgper5fa2tqg/jGv1xt0TEFtLZ7oaBrz8li3Zw/XvfjiBX2g3W6Klbtf5TgeP5Jx09/fzwMPPICmadxzzz1kZGRM+TyFyCdUsYFUwARBEARBEIRLEhUVRXFxMcXFxWzcuJGBgQFcLheVO3dif/NN6gsKqAvondq3di31BQVUqCo2VaVg1y4sW7dO+Tym4EcyJg6HA03TyMzMlOBLCDkSgAmCIAiCIAgTJi4ujlmzZjFr/3742c/oSklBrajArihU2mx0pqWh2myoNhsvA4m7d6M0NxsDoWdSoBPY/yUIoUYCMEEQBEEQBGHy+KteKV1dLDl2jCXHjqEBzTk5VCoKqs2Gw2qlNz6eEydOcOLECQCysrKMYMxqtZKYmDhtv4IegJkxNFoQLoUEYIIgCIIgCMLkGcUj3gLkNDWR09TEmv378ZSW4t65E9XhQFVVqquraWlpoaWlhQMHDmCxWCgqKjLcFUtKSoiJCc82taOjg6amJiwWC1arNSw/U7iykQBMEARBEARBmDzj8IiPfvhhyqxWyqxWtmzZQn9/Pw5/MKaqKk1NTbjdbtxuN6+++iqxsbGUl5cbAVleXl7IrOH16ldRUdG0VuGEKwcJwARBEARBEISpMUGP+Pj4eObOncvcuXMBXxVKD8ZUVaW7u5vz589z/vx5AJKTk41gTFEUUx3pxH5eCDdiQx+A2NALgiAIgiBMARM84jVNo6GhwQjGnE4ng4ODQcfk5OQYwZjVaiU+Pn5Sp6tpGg899BDd3d3cfvvtIkEUghAbekEQBEEQBGFmY4JHvMViIT8/n/z8fNatW8fQ0BDV1dVGQFZTU0NTUxNNTU288cYbhj2+HpAVFxcTPZ6gz+Oh4Z//pLu7m9ioKEoCLPQFIZRIBSwAqYAJgiAIgiDMbHp7e3E4HFRWVmK322lpaQn6flxcHFarFUVRsNlsZGdnj+wf+9Of4J57eK20lBfe9jZmnTvHB3fu9PWyDZNLClcuUgETBEEQBEEQrngSExOZP38+8+fPB6CtrS2of6y3t5ezZ89y9uxZANLS0lAUhYqKChRFIeWFF3yGIZqGunkzAIqq+lwc3/MeXy+bBGFCCJEKWABSARMEQRAEQYhcNE2jrq7OqI45nU48Hk/QMfnNzVScOYPV4eD/vuc9DMXF8amf/pT8+nqfa2NJCdjtE+5dEy4/QhUbSAAWQHt7OxkZGVRVVUkAJgiCIAiCEOEMDg5SVVWFw+HA4XBQX18/4pjk7m4+81//RZBI8bnnfAYiwhVNR0cHpaWltLW1kZ6ebtr7SgAWQHV1NaWlpdN9GoIgCIIgCIIgzBCqqqooKSkx7f0kAAvA6/VSU1NDampqyIb9TTd6JC9VvtAg6xtaZH1Di6xv6JE1Di2yvqFF1je0yPqGlsmsr6ZpdHZ2UlRURFRUlGnnIiYcAURFRZka3c5k0tLS5OEOIbK+oUXWN7TI+oYeWePQIusbWmR9Q4usb2iZ6PqaKT3UMS+UEwRBEARBEARBEC6KBGCCIAiCIAiCIAhhQgKwK4z4+Hi+8Y1vEB8fP92nclki6xtaZH1Di6xv6JE1Di2yvqFF1je0yPqGlpm0vmLCIQiCIAiCIAiCECakAiYIgiAIgiAIghAmJAATBEEQBEEQBEEIExKACYIgCIIgCIIghAkJwARBEARBEARBEMKEBGAzlO9973tcddVVpKamkpeXx80338yZM2cu+prdu3ezfv16srOzSUxMZN68eTz88MNjHv/73/8ei8XCzTffPOJ7breb2267jezsbJKSkli2bBkHDhwwvq9pGt/85jcpKioiMTGRLVu2cOLEiUn/vuFmpq/vRz7yESwWS9C/tWvXTvr3DTfTub5Wq3XE2lksFu6++27jGLl/Q7u+cv9Ofn2Hhob4j//4DyoqKkhMTERRFL797W/j9XqNY+T+De36yv07+fXt7Ozk3nvvpby8nMTERK6++mr2798fdIzcv6Fd30i/fyF0a/zEE0+M+vnV19cXdNxjjz1GRUUFCQkJrFy5kldffTXo+6bcw5owI3nb296mPf7449rx48e1w4cPa9dff71WVlamdXV1jfmagwcPak8//bR2/PhxzW63a7/97W+1pKQk7ec///mIYx0Oh1ZcXKxt3LhRu+mmm4K+19LSopWXl2sf+chHtH379ml2u1176aWXtPPnzxvHfP/739dSU1O1P/7xj9qxY8e0973vfVphYaHW0dFh2hqEkpm+vrfffrv29re/XautrTX+NTc3m/b7h5rpXN+GhoagdXvxxRc1QNuxY4dxjNy/oV1fuX8nv77333+/lp2drT333HOa3W7Xnn32WS0lJUV75JFHjGPk/g3t+sr9O/n1fe9736stWLBA27lzp3bu3DntG9/4hpaWlqZVV1cbx8j9G9r1jfT7V9NCt8aPP/64lpaWFrQ2tbW1Qe/z+9//XouNjdV++ctfaidPntTuueceLTk5WXM6ncYxZtzDEoBFCA0NDRqg7dy5c0Kve/e7363ddtttQV8bGhrS1q9fr/3qV7/Sbr/99hEP+Je//GVtw4YNY76n1+vVCgoKtO9///vG1/r6+rT09HTtZz/72YTOb6Ywk9ZX07RRXxfJhHN9h3PPPfdoNptN83q9mqbJ/RtIKNZX0+T+1ZnM+l5//fXaRz/60aCvbdu2zXgfuX8vEIr11TS5f3Umur49PT1adHS09txzzwW9ZunSpdrXvvY1TdPk/g0kFOuraZff/atp5q3x448/rqWnp1/0NatXr9Y+9alPBX1t3rx52le+8hVN08y7h0WCGCG0t7cDkJWVNe7XHDp0iL1797J58+agr3/7298mNzeXj33sY6O+7q9//SurVq3i1ltvJS8vj+XLl/PLX/7S+L7dbqeuro7rrrvO+Fp8fDybN29m7969E/m1ZgwzaX11XnnlFfLy8pgzZw4f//jHaWhomMBvNLMI5/oGMjAwwO9+9zs++tGPYrFYALl/dUK1vjpy/05ufTds2MDLL7/M2bNnAThy5Ai7d+/mne98JyD3r06o1ldH7t+Jr+/Q0BAej4eEhISgrycmJrJ7925A7l+dUK2vzuV0/4K5a9zV1UV5eTklJSXccMMNHDp0yPjewMAABw4cCLo/Aa677jrj/jTtHh53qCZMG16vV7vxxhsvWTXRKS4u1uLi4rSoqCjt29/+dtD3du/erRUXF2uNjY2apo2eKYmPj9fi4+O1r371q9rBgwe1n/3sZ1pCQoL2m9/8RtM0TduzZ48GaG63O+h1H//4x7Xrrrtukr/l9DHT1lfTfCXw5557Tjt27Jj217/+VVu6dKm2cOFCra+vb2q/7DQQ7vUN5A9/+IMWHR0ddK/K/Rva9dU0uX+nsr5er1f7yle+olksFi0mJkazWCzad7/7XeP7cv+Gdn01Te7fqazvunXrtM2bN2tut1sbGhrSfvvb32oWi0WbM2eOpmly/4Z6fTXt8rp/Nc3cNX7ttde03/72t9rhw4e1Xbt2abfccouWmJionT17VtM0TXO73Rqg7dmzJ+h13/nOd0y/hyUAiwDuuusurby8XKuqqhrX8aqqakePHtV+8YtfaFlZWdrTTz+taZqmdXR0aFarVfvHP/5hHDvaAx4bG6utW7cu6Guf+cxntLVr12qaduHmq6mpCTrmzjvv1N72trdN9Nebdmba+o5GTU2NFhsbq/3xj38c5281cwj3+gZy3XXXaTfccEPQ1+T+De36jobcv+Nf32eeeUYrKSnRnnnmGe3o0aPak08+qWVlZWlPPPGEpmly/4Z6fUdD7t/xr+/58+e1TZs2aYAWHR2tXXXVVdoHP/hBbf78+Zqmyf0b6vUdjUi+fzXNvDUeDY/Hoy1dulT7zGc+o2nahQBs7969Qcfdf//92ty5czVNM+8elgBshvNv//ZvWklJiaaq6qRe/5//+Z9G1H7o0CHjodX/WSwWzWKxaNHR0YYJRFlZmfaxj30s6H0ee+wxraioSNM0TausrNQA7eDBg0HHvOtd79I+/OEPT+o8p4uZuL5jMWvWrCDNcSQwHeur43A4tKioKO0vf/lL0Nfl/r1AKNZ3LOT+Hd/6lpSUaI8++uiI99E//OX+vUAo1ncs5P6d2N+Hrq4uY4P63ve+V3vnO9+paZrcv4GEYn3HIhLvX00zd43H4s4779Te/va3a5qmaf39/Vp0dLT2pz/9KeiYz372s9qmTZs0TTPvHpYesBmKpmn827/9G3/605/Yvn07FRUVk36f/v5+AObNm8exY8c4fPiw8e9d73oXW7du5fDhw5SWlgKwfv36EXafZ8+epby8HICKigoKCgp48cUXje8PDAywc+dOrr766kmdZ7iZyes7Gs3NzVRVVVFYWDip8ww307m+Oo8//jh5eXlcf/31QV+X+zf4fcxe39GQ+3f869vT00NUVPBHc3R0tGGTLvdv8PuYvb6jIffvxP8+JCcnU1hYSGtrK//617+46aabALl/h7+P2es7GpF2/0Jo1nis7x8+fNhYm7i4OFauXBl0fwK8+OKLxv1p2j087lBNCCuf/vSntfT0dO2VV14Jssrs6ekxjvnKV76ifehDHzL+/9FHH9X++te/amfPntXOnj2r/c///I+WlpYW5I4znNFK3G+88YYWExOjfec739HOnTunPfXUU1pSUpL2u9/9zjjm+9//vpaenq796U9/0o4dO6a9//3vjygb2Zm8vp2dndoXvvAFbe/evZrdbtd27NihrVu3TisuLpb1HcZYEjmPx6OVlZVpX/7yl0d9ndy/oVtfuX+ntr633367VlxcbNik/+lPf9JycnK0++67zzhG7t/Qra/cv1Nb3+eff1775z//qamqqr3wwgva0qVLtdWrV2sDAwPGMXL/hm59L4f7V9NCt8bf/OY3teeff16rrKzUDh06pN1xxx1aTEyMtm/fPuMY3Yb+17/+tXby5Ent3nvv1ZKTkzWHw2EcY8Y9LAHYDAUY9d/jjz9uHHP77bdrmzdvNv7/Jz/5ibZw4UItKSlJS0tL05YvX6499thjmsfjGfPnjLXB+tvf/qYtWrRIi4+P1+bNm6f94he/CPq+1+vVvvGNb2gFBQVafHy8tmnTJu3YsWNT/bXDxkxe356eHu26667TcnNztdjYWK2srEy7/fbbNZfLZcavHhame33/9a9/aYB25syZUV8n92/o1lfu36mtb0dHh3bPPfdoZWVlWkJCgqYoiva1r31N6+/vN46R+zd06yv379TW9w9/+IOmKIoWFxenFRQUaHfffbfW1tYWdIzcv6Fb38vh/tW00K3xvffeq5WVlWlxcXFabm6udt11143o99I0Tfvv//5vrby8XIuLi9NWrFgxwv7ejHvY4v9FBUEQBEEQBEEQhBAjPWCCIAiCIAiCIAhhQgIwQRAEQRAEQRCEMCEBmCAIgiAIgiAIQpiQAEwQBEEQBEEQBCFMSAAmCIIgCIIgCIIQJiQAEwRBEARBEARBCBMSgAmCIAiCIAiCIIQJCcAEQRAEQRAEQRDChARggiAIgiAIgiBEJLt27eLGG2+kqKgIi8XCX/7ylwm/h6ZpPPjgg8yZM4f4+HhKS0v57ne/a/7J+okJ2TsLgiAIgiAIgiCEkO7ubpYuXcodd9zBLbfcMqn3uOeee3jhhRd48MEHWbx4Me3t7TQ1NZl8phewaJqmhezdBUEQBEEQBEEQwoDFYuHPf/4zN998s/G1gYEB/uM//oOnnnqKtrY2Fi1axAMPPMCWLVsAOHXqFEuWLOH48ePMnTs3LOcpEkRBEARBEARBEC5L7rjjDvbs2cPvf/97jh49yq233srb3/52zp07B8Df/vY3FEXhueeeo6KiAqvVyp133klLS0vIzkkCMEEQBEEQBEEQLjsqKyt55plnePbZZ9m4cSM2m40vfvGLbNiwgccffxwAVVVxOp08++yzPPnkkzzxxBMcOHCA97znPSE7L+kBEwRBEARBEAThsuPgwYNomsacOXOCvt7f3092djYAXq+X/v5+nnzySeO4X//616xcuZIzZ86ERJYoAZggCIIgCIIgCJcdXq+X6OhoDhw4QHR0dND3UlJSACgsLCQmJiYoSJs/fz4ALpdLAjBBEARBEARBEITxsHz5cjweDw0NDWzcuHHUY9avX8/Q0BCVlZXYbDYAzp49C0B5eXlIzktcEAVBEARBEARBiEi6uro4f/484Au4fvSjH7F161aysrIoKyvjtttuY8+ePTz00EMsX76cpqYmtm/fzuLFi3nnO9+J1+vlqquuIiUlhUceeQSv18vdd99NWloaL7zwQkjOWQIwQRAEQRAEQRAikldeeYWtW7eO+Prtt9/OE088weDgIPfffz9PPvkkbreb7Oxs1q1bx7e+9S0WL14MQE1NDZ/5zGd44YUXSE5O5h3veAcPPfQQWVlZITlnCcAEQRAEQRAEQRDChNjQC4IgCIIgCIIghAkJwARBEARBEARBEMKEBGCCIAiCIAiCIAhhQgIwQRAEQRAEQRCEMCEBmCAIgiAIgiAIQpiQAEwQBEEQBEEQBCFMSAAmCIIgCIIgCIIQJiQAEwRBEARBEARBCBMSgAmCIAiCIAiCIIQJCcAEQRAEQRAEQRDChARggiAIgiAIgiAIYeL/B/zF7AxfjApiAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xc, yc = modelgrid.xcellcenters, modelgrid.ycellcenters\n",
    "xv, yv = modelgrid.xvertices, modelgrid.yvertices\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "modelgrid.plot()\n",
    "ax.scatter(xc.ravel(), yc.ravel(), c=\"b\", label=\"cell centers\")\n",
    "ax.scatter(xv.ravel(), yv.ravel(), c=\"r\", label=\"cell vertices\")\n",
    "plt.legend(loc=0);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82be3a1c",
   "metadata": {},
   "source": [
    "### Getting the ibound/idomain array\n",
    "\n",
    "The `.idomain` method returns the ibound/idomain array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6392c804",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ibound = modelgrid.idomain\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid, ax=ax)\n",
    "pmv.plot_grid()\n",
    "pmv.plot_array(ibound, masked_values=[0,]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9497c9a2",
   "metadata": {},
   "source": [
    "### Getting the model top, bottom, delc, and delr\n",
    "\n",
    "The model top, bottom, delc, and delr can be accessed from the modelgrid using `.top`, `.bottom`, `.delc`, and `.delr`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "773296c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[100.        , 100.        , 100.        , 100.        ,\n",
       "         100.        , 100.        , 100.        , 100.        ,\n",
       "         100.        , 100.        , 100.        , 100.        ,\n",
       "         100.        , 100.        , 100.        ],\n",
       "        [ 97.36842105,  97.36842105,  97.36842105,  97.36842105,\n",
       "          97.36842105,  97.36842105,  97.36842105,  97.36842105,\n",
       "          97.36842105,  97.36842105,  97.36842105,  97.36842105,\n",
       "          97.36842105,  97.36842105,  97.36842105],\n",
       "        [ 94.73684211,  94.73684211,  94.73684211,  94.73684211,\n",
       "          94.73684211,  94.73684211,  94.73684211,  94.73684211,\n",
       "          94.73684211,  94.73684211,  94.73684211,  94.73684211,\n",
       "          94.73684211,  94.73684211,  94.73684211],\n",
       "        [ 92.10526316,  92.10526316,  92.10526316,  92.10526316,\n",
       "          92.10526316,  92.10526316,  92.10526316,  92.10526316,\n",
       "          92.10526316,  92.10526316,  92.10526316,  92.10526316,\n",
       "          92.10526316,  92.10526316,  92.10526316],\n",
       "        [ 89.47368421,  89.47368421,  89.47368421,  89.47368421,\n",
       "          89.47368421,  89.47368421,  89.47368421,  89.47368421,\n",
       "          89.47368421,  89.47368421,  89.47368421,  89.47368421,\n",
       "          89.47368421,  89.47368421,  89.47368421],\n",
       "        [ 86.84210526,  86.84210526,  86.84210526,  86.84210526,\n",
       "          86.84210526,  86.84210526,  86.84210526,  86.84210526,\n",
       "          86.84210526,  86.84210526,  86.84210526,  86.84210526,\n",
       "          86.84210526,  86.84210526,  86.84210526],\n",
       "        [ 84.21052632,  84.21052632,  84.21052632,  84.21052632,\n",
       "          84.21052632,  84.21052632,  84.21052632,  84.21052632,\n",
       "          84.21052632,  84.21052632,  84.21052632,  84.21052632,\n",
       "          84.21052632,  84.21052632,  84.21052632],\n",
       "        [ 81.57894737,  81.57894737,  81.57894737,  81.57894737,\n",
       "          81.57894737,  81.57894737,  81.57894737,  81.57894737,\n",
       "          81.57894737,  81.57894737,  81.57894737,  81.57894737,\n",
       "          81.57894737,  81.57894737,  81.57894737],\n",
       "        [ 78.94736842,  78.94736842,  78.94736842,  78.94736842,\n",
       "          78.94736842,  78.94736842,  78.94736842,  78.94736842,\n",
       "          78.94736842,  78.94736842,  78.94736842,  78.94736842,\n",
       "          78.94736842,  78.94736842,  78.94736842],\n",
       "        [ 76.31578947,  76.31578947,  76.31578947,  76.31578947,\n",
       "          76.31578947,  76.31578947,  76.31578947,  76.31578947,\n",
       "          76.31578947,  76.31578947,  76.31578947,  76.31578947,\n",
       "          76.31578947,  76.31578947,  76.31578947],\n",
       "        [ 73.68421053,  73.68421053,  73.68421053,  73.68421053,\n",
       "          73.68421053,  73.68421053,  73.68421053,  73.68421053,\n",
       "          73.68421053,  73.68421053,  73.68421053,  73.68421053,\n",
       "          73.68421053,  73.68421053,  73.68421053],\n",
       "        [ 71.05263158,  71.05263158,  71.05263158,  71.05263158,\n",
       "          71.05263158,  71.05263158,  71.05263158,  71.05263158,\n",
       "          71.05263158,  71.05263158,  71.05263158,  71.05263158,\n",
       "          71.05263158,  71.05263158,  71.05263158],\n",
       "        [ 68.42105263,  68.42105263,  68.42105263,  68.42105263,\n",
       "          68.42105263,  68.42105263,  68.42105263,  68.42105263,\n",
       "          68.42105263,  68.42105263,  68.42105263,  68.42105263,\n",
       "          68.42105263,  68.42105263,  68.42105263],\n",
       "        [ 65.78947368,  65.78947368,  65.78947368,  65.78947368,\n",
       "          65.78947368,  65.78947368,  65.78947368,  65.78947368,\n",
       "          65.78947368,  65.78947368,  65.78947368,  65.78947368,\n",
       "          65.78947368,  65.78947368,  65.78947368],\n",
       "        [ 63.15789474,  63.15789474,  63.15789474,  63.15789474,\n",
       "          63.15789474,  63.15789474,  63.15789474,  63.15789474,\n",
       "          63.15789474,  63.15789474,  63.15789474,  63.15789474,\n",
       "          63.15789474,  63.15789474,  63.15789474],\n",
       "        [ 60.52631579,  60.52631579,  60.52631579,  60.52631579,\n",
       "          60.52631579,  60.52631579,  60.52631579,  60.52631579,\n",
       "          60.52631579,  60.52631579,  60.52631579,  60.52631579,\n",
       "          60.52631579,  60.52631579,  60.52631579],\n",
       "        [ 57.89473684,  57.89473684,  57.89473684,  57.89473684,\n",
       "          57.89473684,  57.89473684,  57.89473684,  57.89473684,\n",
       "          57.89473684,  57.89473684,  57.89473684,  57.89473684,\n",
       "          57.89473684,  57.89473684,  57.89473684],\n",
       "        [ 55.26315789,  55.26315789,  55.26315789,  55.26315789,\n",
       "          55.26315789,  55.26315789,  55.26315789,  55.26315789,\n",
       "          55.26315789,  55.26315789,  55.26315789,  55.26315789,\n",
       "          55.26315789,  55.26315789,  55.26315789],\n",
       "        [ 52.63157895,  52.63157895,  52.63157895,  52.63157895,\n",
       "          52.63157895,  52.63157895,  52.63157895,  52.63157895,\n",
       "          52.63157895,  52.63157895,  52.63157895,  52.63157895,\n",
       "          52.63157895,  52.63157895,  52.63157895],\n",
       "        [ 50.        ,  50.        ,  50.        ,  50.        ,\n",
       "          50.        ,  50.        ,  50.        ,  50.        ,\n",
       "          50.        ,  50.        ,  50.        ,  50.        ,\n",
       "          50.        ,  50.        ,  50.        ]]),\n",
       " array([[[50.        , 50.        , 50.        , 50.        ,\n",
       "          50.        , 50.        , 50.        , 50.        ,\n",
       "          50.        , 50.        , 50.        , 50.        ,\n",
       "          50.        , 50.        , 50.        ],\n",
       "         [47.36842105, 47.36842105, 47.36842105, 47.36842105,\n",
       "          47.36842105, 47.36842105, 47.36842105, 47.36842105,\n",
       "          47.36842105, 47.36842105, 47.36842105, 47.36842105,\n",
       "          47.36842105, 47.36842105, 47.36842105],\n",
       "         [44.73684211, 44.73684211, 44.73684211, 44.73684211,\n",
       "          44.73684211, 44.73684211, 44.73684211, 44.73684211,\n",
       "          44.73684211, 44.73684211, 44.73684211, 44.73684211,\n",
       "          44.73684211, 44.73684211, 44.73684211],\n",
       "         [42.10526316, 42.10526316, 42.10526316, 42.10526316,\n",
       "          42.10526316, 42.10526316, 42.10526316, 42.10526316,\n",
       "          42.10526316, 42.10526316, 42.10526316, 42.10526316,\n",
       "          42.10526316, 42.10526316, 42.10526316],\n",
       "         [39.47368421, 39.47368421, 39.47368421, 39.47368421,\n",
       "          39.47368421, 39.47368421, 39.47368421, 39.47368421,\n",
       "          39.47368421, 39.47368421, 39.47368421, 39.47368421,\n",
       "          39.47368421, 39.47368421, 39.47368421],\n",
       "         [36.84210526, 36.84210526, 36.84210526, 36.84210526,\n",
       "          36.84210526, 36.84210526, 36.84210526, 36.84210526,\n",
       "          36.84210526, 36.84210526, 36.84210526, 36.84210526,\n",
       "          36.84210526, 36.84210526, 36.84210526],\n",
       "         [34.21052632, 34.21052632, 34.21052632, 34.21052632,\n",
       "          34.21052632, 34.21052632, 34.21052632, 34.21052632,\n",
       "          34.21052632, 34.21052632, 34.21052632, 34.21052632,\n",
       "          34.21052632, 34.21052632, 34.21052632],\n",
       "         [31.57894737, 31.57894737, 31.57894737, 31.57894737,\n",
       "          31.57894737, 31.57894737, 31.57894737, 31.57894737,\n",
       "          31.57894737, 31.57894737, 31.57894737, 31.57894737,\n",
       "          31.57894737, 31.57894737, 31.57894737],\n",
       "         [28.94736842, 28.94736842, 28.94736842, 28.94736842,\n",
       "          28.94736842, 28.94736842, 28.94736842, 28.94736842,\n",
       "          28.94736842, 28.94736842, 28.94736842, 28.94736842,\n",
       "          28.94736842, 28.94736842, 28.94736842],\n",
       "         [26.31578947, 26.31578947, 26.31578947, 26.31578947,\n",
       "          26.31578947, 26.31578947, 26.31578947, 26.31578947,\n",
       "          26.31578947, 26.31578947, 26.31578947, 26.31578947,\n",
       "          26.31578947, 26.31578947, 26.31578947],\n",
       "         [23.68421053, 23.68421053, 23.68421053, 23.68421053,\n",
       "          23.68421053, 23.68421053, 23.68421053, 23.68421053,\n",
       "          23.68421053, 23.68421053, 23.68421053, 23.68421053,\n",
       "          23.68421053, 23.68421053, 23.68421053],\n",
       "         [21.05263158, 21.05263158, 21.05263158, 21.05263158,\n",
       "          21.05263158, 21.05263158, 21.05263158, 21.05263158,\n",
       "          21.05263158, 21.05263158, 21.05263158, 21.05263158,\n",
       "          21.05263158, 21.05263158, 21.05263158],\n",
       "         [18.42105263, 18.42105263, 18.42105263, 18.42105263,\n",
       "          18.42105263, 18.42105263, 18.42105263, 18.42105263,\n",
       "          18.42105263, 18.42105263, 18.42105263, 18.42105263,\n",
       "          18.42105263, 18.42105263, 18.42105263],\n",
       "         [15.78947368, 15.78947368, 15.78947368, 15.78947368,\n",
       "          15.78947368, 15.78947368, 15.78947368, 15.78947368,\n",
       "          15.78947368, 15.78947368, 15.78947368, 15.78947368,\n",
       "          15.78947368, 15.78947368, 15.78947368],\n",
       "         [13.15789474, 13.15789474, 13.15789474, 13.15789474,\n",
       "          13.15789474, 13.15789474, 13.15789474, 13.15789474,\n",
       "          13.15789474, 13.15789474, 13.15789474, 13.15789474,\n",
       "          13.15789474, 13.15789474, 13.15789474],\n",
       "         [10.52631579, 10.52631579, 10.52631579, 10.52631579,\n",
       "          10.52631579, 10.52631579, 10.52631579, 10.52631579,\n",
       "          10.52631579, 10.52631579, 10.52631579, 10.52631579,\n",
       "          10.52631579, 10.52631579, 10.52631579],\n",
       "         [ 7.89473684,  7.89473684,  7.89473684,  7.89473684,\n",
       "           7.89473684,  7.89473684,  7.89473684,  7.89473684,\n",
       "           7.89473684,  7.89473684,  7.89473684,  7.89473684,\n",
       "           7.89473684,  7.89473684,  7.89473684],\n",
       "         [ 5.26315789,  5.26315789,  5.26315789,  5.26315789,\n",
       "           5.26315789,  5.26315789,  5.26315789,  5.26315789,\n",
       "           5.26315789,  5.26315789,  5.26315789,  5.26315789,\n",
       "           5.26315789,  5.26315789,  5.26315789],\n",
       "         [ 2.63157895,  2.63157895,  2.63157895,  2.63157895,\n",
       "           2.63157895,  2.63157895,  2.63157895,  2.63157895,\n",
       "           2.63157895,  2.63157895,  2.63157895,  2.63157895,\n",
       "           2.63157895,  2.63157895,  2.63157895],\n",
       "         [ 0.        ,  0.        ,  0.        ,  0.        ,\n",
       "           0.        ,  0.        ,  0.        ,  0.        ,\n",
       "           0.        ,  0.        ,  0.        ,  0.        ,\n",
       "           0.        ,  0.        ,  0.        ]]]),\n",
       " array([150., 150., 150., 150., 150., 150., 150., 150., 150., 150., 150.,\n",
       "        150., 150., 150., 150., 150., 150., 150., 150., 150.]),\n",
       " array([250., 250., 250., 250., 250., 250., 250., 250., 250., 250., 250.,\n",
       "        250., 250., 250., 250.]))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top = modelgrid.top\n",
    "botm = modelgrid.botm\n",
    "delc = modelgrid.delc\n",
    "delr = modelgrid.delr\n",
    "top, botm, delc, delr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cde8114",
   "metadata": {},
   "source": [
    "## Class exercise 1:\n",
    "\n",
    "Assume that the modelgrid is currently in meters and we want our grid to be in feet. Create a new modelgrid object from the existing one where the discretization is in feet.\n",
    "\n",
    "make a plot of the new modelgrid after it has been created"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6313fa4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xll:7695794.20952; yll:4050416.79628; rotation:-15; units:undefined; lenuni:0\n"
     ]
    },
    {
     "data": {
      "image/png": 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8onQJIyMj8Hq9SE1NRUNDg+L3ZGVlYcGCBViwYAEAwOPxsEUMRdp+/PHHLPI2Ly9PspARdf9t2LAxu2GT+xUGnni/9KUvAfiEMOiP3+9PiDBEe8+1iJeS3WpqaphSvbOzE62trUypTpG2+/fvZ8RKlS8p1UdHR+HxeFglLQI0BrUFhhIKCwuxYsUKrFixArFYDAMDA5JIW5/Phw8++AAffPABAKC8vJx9bg0NDXakrQ0bVwhscr/CoLTVrEQYVPnGI4zGxkZJT3URne/kMEK8GRkZmDNnDubMmQMATJnucrnQ2tqK8fFxRo4Uadvc3MwEeXV1dcJ6xie67e9wOFBVVYWqqipcffXVCIfDMxoFDQ0NYWhoCO+//z6z6PGRtnaLXBs2Lk/Y5H4FQc9WM08YGzduZIRBlW9fX58qYbS0tCArKwtjY2NISUlR3WpOFDQGM8Sbl5fHlOqxWAzDw8MzIm1JpQ4AAwMDeOONN1iLXHmkrVlEo1G0t7cDsG7bPy0tDU1NTWhqasKNN96ICxcu4Be/+AVSU1NRUFAAt9uNzs5OdHZ2YteuXcjMzJQ0CrIjbW3YuHxgk/sVBLfbbZh4ecIAps/s+c5yY2NjEsKgTmtFRUUYHx83rVTXglU7Aw6HA+Xl5SgvL8e6deskSvX33nsPsVgMgUCARdrySnUSHprtLNfT04NgMIisrCxUVVUlNA41dHd3AwDmz5+PL3/5y3C73RLhYSAQwLlz53Du3DkAn0Ta0p/c3Fwhv5cNGzbEwyb3KwiJVLyEnJwcLFq0CIsWLQIAxZ7q9PUnnngChYWF7Dy7qakpYcKIRqMJp9mpgbb5U1JSsGfPHmRmZuJLX/oSW8wMDw/PUKrzwsOKigrdCxl+gSJqa1x+n4qLi7Fq1SqsWrUK0Wh0RqMgpUhb/rxery7Ahg0bFx82uV9BEHEWzivVw+EwfvrTn2JqagrV1dUYHByEx+OREIYepboWent7WcVLcaxWg79PvFLd6/VKhIcTExO4cOECLly4AGA6TIavfLUibUXrEoLBIKvcla6RkpICp9MJp9OJa665hvXpJ60FH2l74MABFmlLY7MjbW3YmN2wyf0KgciKlzAwMICpqSlkZmbiO9/5DmtzS2Q4MDAwQ6ku76kejzB4EZooclEj3oKCAixfvhzLly9HLBbD4OCgRKkuj7QtKyuTCA9JqR6PeK1Ae3s7otEoiouLUVxcHPf709PT0dLSws7/KdKWtBZer5dF2u7YsQPZ2dnsuKalpUXXNWzYsJE82OR+haCvrw+Tk5PIzMyE0+kUcg3KVifiVVKq8+f1Xq8XLpcLLpeLKdXlGehyiK54p6am0NXVFfcaDocDlZWVqKysxIYNGxAOh9Hd3c0q397eXgwPD2N4eBiHDh1iFr3m5makp6cbIl4zSPQ+KUXa0tjovP7MmTM4c+YMgE8iben4xSrhoQ0bNszBJvcrBMmoeOPtDOTl5WHJkiVYsmQJYrEYRkZGZgi8eMIoLi6W9FRPTU3VRbyJoKOjA9FoFEVFRYaINy0tjUXaAkAgEEB7ezurfN1uN4u0JUSjUbz//vtoaWmxXKlu5SKIj7Rdu3YtotEozp8/j1/96lcAprf45ZG2TqeTVfV1dXV2pK0NG0mG/cZdIUhGxUtJc3qu4XA4UFZWhrKyMkYYPT09jOy7u7vhdrslSvXi4mJEo1Hk5uYmpfNdImSbnZ0tibQlpbrL5cKZM2cQi8Xg8Xjw9ttvA5Aq1ZuamhLqZe/1ejE8PAxATOvclJQUJpysqanBt771LUmL3KGhIfT29qK3t5dF2vLCw8rKSttyZ8OGYNjkfgVA71ZzIujs7EQ0GkVhYSFKSkoM//uUlBTU1dWhrq4OmzdvRjAYREdHB9sKHhoawujoKIDp8+Cf/OQnjDBaWloMKdW1IGoRREr1efPmMR/95s2bmY1QSalOla9RpTqNwel0Ctse53eCMjIyMG/ePMybNw8AJI2B2tra4PP50Nrayo5tcnJyJMLDwsJCIb+jDRtXMmxyvwLQ2dmJSCSClJQUHDlyxBRhxANN3IlWvITMzEwJYXi9Xjz33HMYHx9HVlYWJicnGWG88847TKlOhKilVFfD+Pg4i5IVFRbDE+91110HAEypTmTIK9UPHjxoWKl+Mdv/AtORtsuWLcOyZcsQi8UwNDQkaRTk9/tx6tQpnDp1CgBQWloqER7akbY2bCQOm9yvANBEHI1GcfDgQVOEofcaogglJSUF4+PjAIC///u/x8TEBDvPVlKqE2FQZzk9PdVJM1BdXa07Oc4olO6TmlKdCNHj8UiU6llZWTOEh7SgSkb738HBQUxMTCA9PR21tbWa3+twOFBRUYGKigqsX78ekUgE3d3dbGw9PT0YGRnByMgIDh8+bHlCoQ0bVypscr8CQJP92rVrMTU1pWht4gnDqLXJ5/MlreKtrq5Gbm4ucnNzUVFRgQ0bNiASiczoqS4nDHlPdSXCSGbFq3UNJaW6vFHQ2bNncfbsWQCfKNWbm5uRl5eHiYkJpKWloa6uTsg4aAwNDQ2GhXIU1NPQ0CCJtKXjF6sTCm3YuFJhk/tlDp/Ph4GBAQDAtddei9zcXEVrkxph6LE20WRfVVUlrGWpFimmpqYypfoNN9zAlOpEiKOjo0ypvnv3bmRkZEh6qpeVlcW9hhUYGhqCz+czRLy8Un3NmjWIRqPo7e1lY+vq6pqhVAemnQmdnZ2or6+3XKlu5X1SirT9+OOP8eabbyIWi2FqasqOtLVhwwRscr/MQVvNPPEqWZvkSnUj1ibRzXGMbjXLlepjY2MSgVcgEMD58+dx/vx5ANNnxE6nE+Pj40mJeDVT8RIoqKe2tpZF2nZ0dLCx0Q7K2NgY/uM//gNpaWkzGgUlUvmGw2F0dHQAEPN5FxYWorS0FLFYDDk5OfjGN77BdiyMJhTasHElwyb3yxx6SFGuVJ+amtJtbWpqamLtV0WR+/DwMMbHxxlRGUVRURFWrlyJlStXIhaLzeipPj4+zsJTIpEInn32WUlPdasIQ8TOQEZGBubOnYu5c+ciHA7jwQcfRDgcxrx589Db28sibunaOTk5kuMXo0r17u5uhEIhdiwiArxYr7q6GtXV1aYSCp1Op90i18YVC5vcL2OYFVcZtTYB07sBbrcbHo/HcmsTjcGKLWaHwyEhjFAohK6uLrzxxhtwu90ApgVjg4ODOHjwIFv4ENmbJYxIJMIiXkUtgrq7uxEOh5Gbm4uvfvWrAKYXRnT8Qkr106dPMzteSUmJxF8fT6luVR8AvdfgYTShMDMzUyI8FJFQaMPGbIVN7pcxRkZG4PV6E95q1rI2tbW1IRKJIBaL4U9/+hMA661NIs/CKdltYmICAPCtb30Lfr+fVYcejwcdHR3o6OjAzp07kZWVxc7rSXiohzCo4s3JyUFlZaXl4wCk3nP6nSjSlpTqFGlLSvXR0VGMjo7iyJEjTKlOxy9KSnXRuoRAIIDe3l5d19CTUPjRRx/ho48+AgDLEwpt2JjNsMn9MgZV1mbS19Qgtzb98pe/xMcff4zGxkaEw2HLrU3JqHh7enowNTWFnJwcNDY2wuFwYNGiRYjFYjMy0JUIgxd4qVnorO4DoIR4xEuLvPr6eolSncbHK9Up0pYXHubl5ekmXrMg/UZZWZnhXgV8QmE0GkVfX59EeGh1QqENG7MZNrlfxhAtdItEIkxcddNNN6G6ulqTMMxYm3jiraqqEjIOPvCG/10cDociYdA2d2dnJzweD44fP47jx48D+IQwSHhIhCH6szBS8RKUlOr8jozf75co1bOyshCLxZCXl3fRFih6QUE9NTU12LRpE2uP3NbWhkOHDiESiSScUGjDxmyGTe6XKSKRiHBCIeLNzs5mxGuUMOJZm9SI10roJRSeMNSU6jxhkACwrq4uKRGvsVgMpaWlpjUPhYWFWLFiBVasWIFYLIaBgQFJpC31k/f5fPjZz34mUao3NDToahQUD6K2/SmhsLS0FAcOHIDD4cDnP/95JtAbHx83nFBow8Zshk3ulyl6e3sZ8VZXVwu5hh5xlRJhUOWrx9okeoEyOTmJnp4eAMqtVLXAK9UBSJTpbW1tEiEiML0T8M4777DxFRUVWTYOq0nR4XCgqqoKVVVVuPrqqxEOh7FlyxaMj4+jpKQEo6Ojqkp1ahRktPJ1u91wu91wOBwsXc9q0H2qq6uTOCiMJhTakbY2ZjsSIvcHHngAP/zhD3HPPffg0UcfVf2+3bt3495778Xp06fhdDrxj//4j7jrrrvY/9+6dStuv/32Gf8uEAgwMVY4HMb/9//9f/jFL36B/v5+VFdX49vf/jb+1//6X/b2mQKSWfHq7UrHE4Zea1M0GgUw7V2PRqOWf9ZU8ZaUlCSs8s/Ly8PSpUuxdOlSxGIxDA8Po62tDQcOHIDH40EsFktIqa4F0UI3n8+H8fFxOBwO3HnnnYhGoxKlutvtnqFU58/r9UTa0hhqa2st2QXQugZ/n9QSCmkRKk8oBKb7PtDY7EhbG7MRpp/Iw4cP45lnnsHSpUs1v8/lcuHmm2/GHXfcgZdeegn79u3Dd7/7XZSXl+PWW29l31dQUMC8xgR+snvwwQfx9NNP49///d+xaNEiHDlyBLfffjsKCwtxzz33mB3GZQvRk30wGGRbzUYrXoIeaxPh17/+tRBrk6j75HA4mFL90KFDAIAbbrgBkUiENQqSK9V5wqitrdVNGGNjYxgdHU1KxcsT71VXXYWrrroKACTCw7a2NkxOTuLcuXPsneYjbZubmxWV6qKfWVqQxLsG3/fhuuuuU0wopL4Pe/fulfR9sDKh0IaNRGCK3H0+H2677TY8++yz+PGPf6z5vU8//TTq6+tZZb9w4UIcOXIEDz30kITcqapTw4EDB/DFL34Rt9xyCwCgsbERL7/8Mo4cOWJmCJc1gsEgi3g9cuQIPB6PqrXJLPiK16rtZbm16dVXX8WHH36I4uJiBAIBIdYm0YTCE++aNWuQlZXFCIMXHg4PD6Onpwc9PT1Mqc4LD7UIg8ZQU1MjLFEt3n2iSNtVq1YhGo3OaBSkFGnLn9enpqYKP4Lp7+9HIBBAZmYmampqdP87pYRC2r6X932wKqHQho1EYYrc7777btxyyy341Kc+FZfcDxw4gJtuuknytc985jN4/vnnEQqFmJrY5/OhoaEBkUgEy5cvx49+9COsWLGC/ZtrrrkGTz/9NM6fP4958+bh5MmT2Lt3r+ZxQDAYRDAYZH/3er0mRnvpgaxjAJjAi7c20aSTSAiH0S15MyD196c//WnMnz/fcmuTx+PByMgIHA6H8MAbOfFmZmZi/vz5mD9/PoBPCIP+TExM4MKFC6z7HxEG/eEJY7YE3hBSUlLgdDrhdDpxzTXXsEhbOn6hONuBgQEcOHAAqampqKioQCAQQFpamnCNSGNjY0LHOwUFBVi+fDmWL1+OWCyGwcFB9rm1trZaklBow0aiMEzur7zyCo4dO4bDhw/r+v7+/v4ZTTsqKysRDocxPDyM6upqLFiwAFu3bsWSJUvg9Xrx2GOPYePGjTh58iQTK/3gBz+Ax+PBggULkJqaikgkgn/6p3/C1772NdVrP/DAA7j//vuNDvGSB01iS5YsQVNTk2mlup5rmN2Sjwc58WpZm4gwtKxN1dXVMxYyyah49VajWoTR3t4+gzDKyspYdSj6s6CKNyMjw1DFS1CKtOUXMl6vF319fQCmtTWPPPIIO64xmlCoBRGLIIfDgcrKSlRWVmL16tX4l3/5F8RiMaxatQr9/f2qCYU0NrWEQhs2EoUhcu/q6sI999yDbdu2GZoM5ZNqLBaTfH39+vVYv349+/8bN27EypUr8fjjj2PLli0AgF/96ld46aWX8Mtf/hKLFi3CiRMn8A//8A9wOp3467/+a8Xr3nfffbj33nvZ371er7AYzNkEmsQWLFiAq666StXapKVU17I2eb1eDA8PJ+WM1+l0Kj5rZG2aM2cOgOmdH/683uv1xrU2id59MNv+lyeMDRs2IBwOo7u7m5359vb2Ynh4GMPDw+w83+FwoLW1lZ3dW0kYJM5sbGy05Ofm5uZiyZIlWLJkCUsofPnllzEyMoK0tDRFpTp//GJGqU67B4C4HY6Ojg5Eo1EUFBTglltugcPh0EwopL4P8oRC+7zehhUwRO5Hjx7F4OAgVq1axb4WiUSwZ88ePPHEEwgGgzNe/qqqKvT390u+Njg4iLS0NJSWlipeJyUlBWvWrGEVJgD89//+3/E//sf/YD2zlyxZgo6ODjzwwAOq5J6ZmXnFbYHxxMuTlpK1SZ6BrtfaxBOvKEuQUVLMy8uTEIYea9P4+DiAaZGYCPT398Pv9yMjIyOha6SlpbFIW2DaRUILmTNnziAQCCAWi2HPnj2MMPjKV49SXQsiz8IdDgcKCgqYePKOO+5AMBhknx0p1d1utySh0KhSvbOzE5FIBAUFBarzTqJQsoaaSSjkd9Py8vKE/K42Ln8YIvcbb7yRbQsSbr/9dixYsAA/+MEPFFf1GzZswOuvvy752rZt27B69WrVM9FYLIYTJ05gyZIl7Gt+v3/GOVlqaiqzStmYhl7i5ZXqN954o4Qw4lmb+FaqIsBXvGa2mtWsTXLCILzyyiuorq623NrEn/FaWUlnZ2czpTqp1K+66io4HA5GGGpK9aamJkOEEQqFhEa8Ap8Qb35+PtOBUEIhKdXps9NSqjc3N6OyslJxITMb2v8C2gmFHR0dGB8fx8mTJ3Hy5EkAQEVFhWQ3zY60taEXhmaw/Px8LF68WPK13NxclJaWsq/fd9996OnpwYsvvggAuOuuu/DEE0/g3nvvxR133IEDBw7g+eefx8svv8x+xv3334/169dj7ty58Hq92LJlC06cOIEnn3ySfc8XvvAF/NM//RPq6+uxaNEiHD9+HD/72c/wN3/zN6YHfznC7FYzTxhAfGsTAPT19eHDDz9UtTaZxcDAAPx+P9LT0y2pquWRtsFgEG+//TZOnDiBjIwMTE1NCbE2id7254n3uuuuQ3l5OWKxmER4qEepriU87OrqYsRbVlYmZBz8Qk5+n+VK9XgJhTk5OZLKl3oXiFbi+3w+DAwMGLqGWkIhHb/09fUJSSi0cWXA8s4LfX197GwLmJ7Y3nzzTXz/+9/Hk08+CafTiS1btkhscGNjY7jzzjvR39/POprt2bMHa9euZd/z+OOP43//7/+N7373uxgcHITT6cTf/d3f4f/8n/9j9RAuWSRa8fJQszZ99NFHrKMbr+Y2QhjxIKriJWRmZrIt+euvvx5XXXWV5damcDjM3gNRQjcl4qUzd7lSnciwv79/hlKdJ4zq6moJYSSz4tWzCNJKKKRI21OnTuHUqVMAppXqdXV17GhQdOBNZWWl6YVueno6+xyAT/o+6EkotKrvg43LBwmT+65duyR/37p164zv2bx5MzsvU8IjjzyCRx55RPM6+fn5ePTRRzWtb1c6BgcHMTExYVnFS+CtTampqejp6YHT6URDQwNcLpdhwogH0RVvOByWbDXLlepDQ0NsQu3o6FBUqhPRq1mbOjs7EQ6HhVa8eohXSanOH794PB60t7ejvb0dO3bsQFZWlkR4KNpmNzExYZp45QmFkUgE3d3dbGx8QiHhlVdekTQKsmrxKOI+8X0fotEoHnnkEfh8PtTV1WFoaMh0QqGNKwN2z8TLCDTBNDQ0CGuHSddYvHgxNmzYAEDZ2sQTBinV9VibeOIVWfGGw2Hk5eWhvLxc8v94wtiwYQMikcgM4SEp1XlrEy88TE1NVRRXWQ0zW825ublYvHgxFi9ezJTqvPBwcnISZ8+exdmzZyX/LhQKwe/3W04YfMWbqHgsNTUVDQ0NaGhokETabt++HcPDwwCgmlDY0tJiWqlu1hVhBKOjo/D5fEhNTcU3v/lNpKamsoRCvu+DUkKh3r4PNi4v2OR+GUH0BCOveAlK1iY6N1RSqhcVFbEJVW5t0iJeq2CEeFNTU5lS/YYbbtC0Nu3evZtZm6gaFbX74Pf7mTfc7DUcDgdKS0tRWlqKNWvWIBqNore3V3JeT7bVN954A2+88YZEeFhfX5/wIpLPQLAaWVlZmD9/Pt566y0AwBe/+EVJT3x53wdSqtPOhd6+DyMjI/B6vWxxIQJ0n3iSNpJQSL8bLbCrqqrsLfzLHDa5XyZQI14r0d3djVAohNzcXFRUVCh+D08Yakr1sbExHDt2TGJtokmHzvAvtqpZDXqtTYR3330XLpfLcmsTVbwVFRWGmg9pgeyPtbW1uPbaa/Haa6/hgw8+QFVVFaLRKAYHB9HX14e+vj7s27ePRdrS2IwShpUaETWMjo4y4l20aBHS09OZUp0SCmkhI1eqU9+HlpYWTaU6jUFkdRxvl8ZIQiH1feC38K1MKLQxO2CT+2UCPcSbKMyIq5SU6mrWpn379rGfG4lEWHdDK0k+EAiwtrZWLIKUrE0HDhxg5/M+n0+ItSkZdkRaLN5www2YO3cuyzynNqs8gQCfKNVpoRYvZY8n3vr6eiHjoPtUV1cnIV6lhEJeeKiUUKimVBetEYlEIoaPYNQSCkl4GAgEZiQU8joSO9L20odN7pcJeIX5bDrjlUPL2kR9uQGwiUfN2pToGMrLyy2reAlkbSISWbNmDRYsWCAhDCusTck64/V4PJKt5vz8/BmEQccvSkp1irQlwpB3GuSJV5R/W+8zm5aWpqhUp89ubGxMolSnhMJktP/t7e3F1NQUsrOzTfXd5xMK161bh0gkMmM3jRIKjx49mlBCoY3ZA/sTu0xAE8zZs2fx7//+76aV6mqwuuIl8Nam06dP47e//S1yc3PhdDpVrU00NiXCiAfRpMhfY+7cuaatTSQ8VFqoud1ueDwepKSkCDvjpTGoES9PGGpKdXmkbU1NDasOa2trhXvP9Ua8KkGeUKgkPOSV6sB0DHYiCYVq4HUJVizcaaekvr6eJRQ+99xzGB4eRl5eHnw+n+mEQhuzBza5XwYIBALMex6NRjWtTWqEEQ8U8VpWViYswpIm4sWLF+Ozn/2sprWJlOo1NTWGrE3JqHjHxsYUiZcnjFgsBrfbLREe6rU2JaPiNbrVrKZUp89uZGSEKdWJMCKRCIDpo41YLGY5YfT09CAYDCIrKyvhpLmSkhKUlJRg9erViEajrFHQsWPHWOvcRBIKtZCMBSnZBf/2b/8WDodDsmthJKHQxuyBTe6XASjitbS0FF/72tc0rU2kVKezUb3WJtFnvMDMSUyNMIgQecKQW5uam5tnRNpSj/KLWfESHA4HIwxSqsezNlVXV6OpqQnd3d2S+2Q1+IrX7FZzVlYWFixYgAULFgCYTvnjBV5+v59976uvvopt27ZJCMOKIxP+ebKykxufUHjhwgWMjY1h7dq1zAJpJqFQDcFgkH3eorb9aeFeXFzMhHXyhEL++EUtoZB20660PI/ZCpvcLwPwZ35a1qaurq4ZSnW91ibRW6h6iFcPYWhF2tJ9qq2tFTYBma2yeMJQszaRUp1w7tw5pKammlKqa6G3t9eyipdAnScpofDNN9/EkSNHkJubi2AwaDqhUAuihW488a5fv571b+ATCltbW5kQUSmhsKWlRVOprkS8VkNr4c4nFFLglFZCIT3H8r4PNpIPm9wvA6gRitzapEUYWtamsbExjI6OJiXi1QjxygmDrE0ul0sx0pZ+bmFhIaampizf0k7kjFcONWvTqVOn2OKFXAYALLU28aQoone5w+HA0NAQgOme+MuXLzedUKiGqakp4RUvRbwWFxdLGjOZSSjkd9N4pXoytuSN7NJoJRS2tU0HTin1faCFTKIJhTb0wyb3SxxGiFdOGLy1Se6FBabPiJuamtjKezZWvAQ91qZgMAgA+PDDD3H69GnU1dUxgZcVIRx9fX2YnJxEZmYmnE5nQj9LDrI2jY2N4eOPP0ZTUxPmz5+vaW3iCcOI8FA0oUxNTaGrq4tdI5GEwubmZkXCaG9vRzQaRVFRkWZHxESgpwGPPKEwEomgt7eXLUIpofDo0aNMqU67aS0tLcKPw/iIaDMLd63AKVrI8JG2lFBIOxd2pK042OR+iSORrWY91iYiCwAYHh7Gn/70J1OEoQUrK16C3NrU1taG//iP/0BKSgrLDyelOhEGLzw0E8IhuuLlr7Fw4UKsWbMmrrWJlOryDHS1rVI58YpAPOI1mlDIR9o2N08nFM62ipdAuQt1dXVMqc4LD4eHhyUJhYShoSEMDAxYrlSn+xQvIlov+MApSih8/fXX0d/fD4fDoZhQSAvsRAOnbEhhk/slDqsmMSVrU09PD1pbW7F3715Eo1EEAgEcOXJE1dpk9mytv78fgUAAmZmZqKmpSWgcaiA3wdy5c/HVr341rrWpsLCQjU2vtSnZFS9BydokJwy91ibaahZZ8fL3SQ9RKSUU0iJULdLW6/UCgDDhpNfrZUcLiRxVZWZmYv78+Zg/fz77ufS5nT9/nu027dq1C7t27bJcqS5Sl0C7EJTA+PWvfx0Oh4ONjw+cOnjwYMKBUzaksMn9EobIZiZEGOnp6dizZw/S09PxpS99iZGGkrWpsbGREaJcqa4FvgGPqJdZvjOgZm3ilepGrE3JqHiJeAsLC1FSUqL6fVqEEc/aRGOwylOthESeWT6hcNOmTSzSllwGRBaEP/7xjzhx4oSkp7oVzxhf8VoZpsMnFP7ud7/DqVOn2NGYWkKhWaV6Mtr/8kmVNA6zCYVmbbxXKmxyv4RBFW9GRoawipc/V+S3So0q1bWsTaIrXiIAtWvwSvVNmzZhampKcl4fz9pUVVWFzs5ORCKRuMSbCIxWvAR5pO3g4KCkFamcMIBpPca5c+cstzaNj4+ziteKalEp0nbXrl04cuQIUlNTWetWl8slSSjkCcMMRLtHYrEYu8a1116LxsZGplTnhYe8Ul0toVANoiKiedD80dDQMON3MZpQaNbGe6XCJvdLGHzFK8puoka8Skp1ejGVlOpq1qZ4xGsFiHgLCgpQWloa9/szMjIwZ84czJkzB4A+axNNNDU1NbOy4iXw1qYNGzZIrE0XLlxgaXZU2fPWJhIeJvKs0Riqq6uFTM65ubmYmpoCAKxbtw4rVqyQLGSUlOr88Yuec+dktP9VIl5eqW4koZDeO3mkLU+8oiOi492neAmFidh4r1TYd+MSxsWueAm8Up28sHqtTZmZmYaI1wzMBN7w0GNtCgQCAIAzZ85gy5YtqtYms/D5fBgcHARg7fkoTxjl5eV47bXXUFRUhJaWFlVrEynbzVibRD+zPPHOmTNHolRXSiik/gp8QiEvPFQijKGhIfh8PqSlpaGurk7IOGgMWsSrN6GQlOoUaUt/RO8+8EmVRrf91Wy8pLWwOqHwcoRN7pcoQqGQ8IhXqnjz8/NRVlam+98ZsTbxOHz4sKq1KRFYSShK1qYLFy7glVdeATA9KfHWJkAfYegdQ1VVlaV9y5WusWjRInzqU58CoGxtUlOqNzU1aVqbklHxahGvkYTCvXv3Ii0tTSI8pITC2VTx8lBKKOR30+SRtoS0tDQhfR+6uroQDoeRl5eH8vLyhH6Wko23ra0N+/btw9DQEMLhsKKNl3acEg2cuhRhk/sliq6uLkQiEWRnZwvrXMWLbRIhWy1r09mzZxGLxeD1evHWW28BULY2mcXExAQTWIkglNTUVLYNXFVVhW9/+9uswlCyNvGE0dLSotvalMyKl7+GkrWJPjs1pTp//MILD3niFRXxqqfiJWglFLa1tcHn86G1tZWReW5uLpqamtgOSjIq3kT6PlRXV6O6uhobN25EKBRCV1cXq3z5Todvvvkm3n77baZUb2lpsUSpblYjogcUOHXo0CEA07HE6enp7PiFbLxW9H24VGGT+yUKmnACgQB++tOfCkltEmWTIcJYsGABO/vctGkTuru7DROG3jFUVlYKr3jpmIEnDFKq084FTxjvvPMOU6rTNreStSkZFe/w8DDGx8c1iZf88k6nE9dccw07tlGyNh04cGCGtYl2akSejyZyn/iEwlgshqGhoRnCQ0onBKZ3msbGxphS3SrC6O7uRigUQm5uLioqKiz5menp6ZK+D2+//Tbef/99FBcXIxqNKiYU8scvZpTqIm12wHTKInVoXL58OfLz800nFF6OLXJtcr9EQedlmZmZCAaDlqc2TUxMMHGVKEKhMVRWVuKGG24AAIm1yeVyxSWMeBXGxap4CVpKdSVrE0XaUgZ6ZmYmI15S6YsAjcEI8Sop1bWsTfQ5ZWRkYHR01HJXQSQSYSFKVvR9qKioQEVFhYQwjh07xkSiY2NjOHz4sOmEQjWIrHgJZHm89tprsWzZMpZQqKZUp4RCEh7GE0OKiojmQfNHeXm5xI1jJqHQrI13NsMm90sQfr+fbavdfffd8Pv9mtYmM15YenEqKiqEtYhUaq2pRBj8VqnX65UQBlmb+AqDkIyKd2RkBF6vVxfxypXqkUhkhvBQHmlbW1vLzkLr6uqEdfCy4j7FszZRQxZqFmS1tYkq3pycHFRWVib0s+QgwqBnduHChVi6dKmuhMKWlpYZSnUtiH5m5cSrlFAoV6orJRRqKdV54hUVCav3PiUaOGVFQuHFgE3ulyDooa6oqEB+fj7y8/MVrU2JpDZd7IqXkJubK1Gqj46OsgpDydpEhEFb3ES8ojqV0WRvJrM7NTVVl7WJ0NXVhZdfflnV2mQWVla8BLm1yeVy4cUXX0R6ejqqq6vR3d1tubUpGRUvXWPu3LkSwiClOu1cyAmDV6o3NTWpEkYyK96ysjJF4rUicEr0ljxgfo6yysY722GT+yUIrYfaTGqT3NrEX0NU56rR0VHDxMsThpq1SU4YwPRKvLu727RSXQtW2omUrE0XLlzAW2+9hWg0ikgkomltMrvD0tPTg6mpKeTk5KCqqirhcSiBFg/z5s3DX/7lXwqxNolekE5OTqoSr5ZSvbOzc4ZSvaKiQtJTnXZnKOJVjXitgNH7pJZQSH+UAqdCoRAACHue3G43xsbGNCOi9UDLxvvhhx/C4/EknFB4sWCT+yUGo1vNakp1Inwla5PT6YTH40FKSoqwM16qeBPZatZjbQKmt+FefPFFVWuTWVD3M0AMoRQVFaGiogLRaBRZWVn45je/yT43JWtTRUWFpMLQa23iq6xkNeBRsza5XC60trZKCASYJgxeeCi3Nk1OTrL8AJEVbywWQ2lpqaa1Sq5UV0ooHBwcxODgICMM0pHQcZuoMQCJL4IooZAPnOKPBf1+P/veP/7xj9i7d6/lSnWaP6xOquRtvCMjI/B4PLjqqquQlZUFl8tlKqHwYsEm90sMbrcbHo/H9FazHmsThW5Eo1H827/9m5DUJhGkyCvVo9EoHnzwQUxNTWHOnDno7++fYW0iwqA/Rr2wvb29mJqaQnZ2Nqqrqy0bBw9+B4WU6mrWJiKMgwcPSgijublZM9I2GRUvEa/aTpBcqa6UUHjq1CmmVi8tLWXPZWNjI6t44xFvIjB7n+QJhX6/X7KbxicUEnp6eljfBzMJhWqgpj1mI17l4AOnKKFwx44d2L9/PzIyMhAKhUwnFGpB9DPLJ1Vu2LCBdQk0k1B4sWCT+yUGvuJNtOmEmrXpzTffxOjoKAAISW0SEfEqB201Z2Vl4Wtf+xocDscMa5MSYfDCw3gVBt93X3TFKz+7lFubiDBIj6BkbeIrDCKMyclJdHd3AxAb8RqLxVBSUqKLeJUSCuXWJhIeEmGQGK+8vByRSESItckqQsnJycGiRYuwaNEiAGDCw3PnzjHHC6X4AZ8o1anyTYQwaAxWV7yE1NRUjI2NAQCuvvpqrF+/Hu3t7WyhZiShUA3JmD/6+vowOTmJzMxMOJ1O9nW1hEISHlpp400UNrlfYhApVKHkpomJCQDAbbfdhsnJSVVrk9nUpp6eHgSDQWRlZQmveJubm9kCRMnapEQYeq1NoquHYDDIiDee9oEnjFgsxqxN1ANfKdK2ubkZ2dnZjHhFN0Mye5/0WJvomf3oo4/w4IMPShYyVlibxsbGMDo6alnFy4OU6ikpKbhw4QIqKiqwePFitpsmV6rHSyjUQjIr3ubm5hkJhR6PR7JrIU8oJKU6zStKugOeeEUFZvHzrFoBo5RQyB8LUmGkZuMVXdXb5H4JgX9xRAndent7GfESMVqd2qREvFYj3iSmRhh6rE006eglXrOgire4uNgQ8SpZm/r6+iQVBhEGYXJyEu+8844pwogHqwlFbm3q6urCv/3bvwGYXuSIsDbRGGpqaoR1N6NrLFy4EJs2bTKVUFhdXa26kOGT5kSRe7ykysLCwhl9H/jjF7lSnWy8dCyYmZnJ7pPIiGgzz2x6erokcCqejVe0EM8m90sIPPGKrnjlK1YrU5tE22T4ilfvy2nUC5uVlYVYLIacnJykJ/IZBR9pK7c2HT58GJFIBH6/H/v372eE0dDQIMlAN1v5ejwejIyMwOFwCPu8h4eHAUxvNf/N3/yNEGvTxbKGmkko5Huq84vCvr4+4RHReipeAt/3QS1wSm7jra2tZZogq3dQCKRnARLv+6AWOEVzikjY5H4JwciLk+g14j3UZlObGhoa2IsjquLt6OhANBpFcXGx6bxuJS8sja2jowOTk5MAps+6f/azn0kIo7Gx0ZIQDlF2RFKqV1ZW4uDBgwCAz3/+82xi5a1NRBh85WtkFyGZFS/5280mFKpZm2ZDxUvQk1Aoj7SlsVHGwsWIiNYDvYFThB07dqC9vd1ypXpHRwcikQgKCwst66IoD5x6++23sXv3bkt+thpscr+EILp6mJqaMr1iVbI28RWG3NrkcDiwfft2VmFYqXC2emeAJwyyNj3++OPwer0oLi6G2+1WJQxSuRtdjHm9XgwPDws54yWQILCmpkbioJBbmwKBwIwQDl6prhVpK3qXJp41VI0waKGmx9rU398Pv9+PjIwMppq2GvxWs17iVUoo7O3tZWOjSFs+oRCYDqZpb29HbW2tpX0f9EZE64WSjff999/H+++/D4fDgVAoJESpngxrKC0WRcIm90sEdPYGTJ8rRqNRy6t3qniLiopMV7yE/Pz8GV7Y1tZWvP/++xgbG0MsFhOW2iS6AY/f74fX64XD4cAdd9zBKjve2iQnDF54qMfaRGNwOp2W5MErQakaVbI2yRsFkbXp6NGjM6xNPGHwxCvqsxgYGDBEvFoJhWrWJmoOpNbN0QpYsXAnwVZdXR2uu+46BINBJjxsbW3FyMgIu1ZbW5sppboWKCK6oKCANcOyEsXFxWzOW7p0KdauXTvDxmuFUl30M+vz+ViyoEjY5H6JoKOjA7FYDADwm9/8RmJtMpvaJId8e9Mq8IRB5/HXX389IpEIU6pbldo0Pj7OmteIqniViFfJ2sQLD+VKdRqbmrXpYle8BBJs1dfXzyCMtrY2TWtTQUEB/H4/0tPThVW8fLa6GeJVsza5XK4ZfR9cLheefvpp9s5ZJTwklTVgfd8HUqq3trbipZdeQlZWFubOnauoVE80cErU/KF0Db7vg5mEQjUbr8/nY8cXot49GoPV+Qdy2OR+iYAeiMLCQgSDQVVrE/0xE8IhetufJ97Vq1cjJyfHUGqTHmsTT7yJBpGoIR7xklJ99erVTKnOCw89Ho+kwpBbm9LS0oRXD4ODg5iYmEB6ejrq6up0/zuj1iZgWnz44YcfmiKMeLDyLFzJ2tTW1oZf/epXbGEtJ4z6+nqJ8NDMblpXVxcikQjy8/NRVlaW8DiUQM/TggUL8MUvflFXQqHRwCnR8wdPvPJrqCUUkkNErlSX23jpbJ2ep6qqKuER0aKKD4JN7pcI6IH49Kc/jYULF6pam+Re2JaWFl0tXsfHx9lWkegVq5x4rUxtSqaqWQ/x8kp1vdamqqoqTExMIC0tTdJAw0okWvEStKxNra2tiMViGB8fxx/+8AcA5hIK1RAOh4VUvIT09HSkp6cjFoshPz8fd955p2Qh4/V6mVKdTyjk+z7oAZ+OmKxmSPKEQgqcUlOqU0IhLzzkn5tkR0THI954CYVqNl5q3pWM+cMmdxuSMxpSyqtZm9raplObeMIgpbqWtYlenOrq6otW8RLMpjY1NTUpxshaCb7iNbPVrMfaRJ3JwuEwHn30UVOEEQ8iFkE8Yaxduxb/8i//gkgkgpUrV6K/v990QqEaOjs7EQ6HkZ+fj/LycsvGwYO/T1pKdaWEwuLiYsnxi5p2QrQSXw/x8oFTWgmFfOAUv5tGP18P8ZqF2WdWzcZLi1Dexkv46KOP4HA4WHFklfBweHgY4+Pj7JhAJGxyvwRAD7Ua8RpJbVKzNs22ipdg1NpEaG9vR1pamuWpTTSGhoYGS154JcL41a9+heHhYaSmpmpam7QIQwt8xStq25+2mvPy8vD5z38eDodDV0IhryOJZ21K5hmvfEEqV6orJRRSH3ciDXlP9bS0NPj9fuFhMbR4qKio0J0cqJRQyM8pgUBAklBIO4P5+fnw+XymEwrVYDQwSwu8jXfz5s2sODp9+jQLYRodHcW+ffuYjZfv+5BI4BSNwepGUUqwyf0SgNGHOl5qk5K1aXx8HACENbcYGhqCz+dDWlpaQitWLS/smTNnEAgEAAB79uzBnj17LE9tErkIcjgcKCoqYr25/+Zv/gaRSETT2qREGPHQ1dWFcDiMvLw8YRWv0lazllKdPNo8YZC1iXYu5IQhWnRohHj1JBT29vait7cXe/fuZYTB98S3mhAJVjyzWpG2HR0dLOL1woULePjhh00nFKphZGTEcES0XlBx5Ha7cfLkSdTV1WHVqlWShEIKnHr33XcTCpwSXUTxsMl9liPRFateaxPhN7/5jaq1KRFYXfESeMLwer34+OOPsXDhQjgcDlVrk1kvrOgzXgDo7u5GOBxGbm4uayXKW5uoURAp1ZUIgypfNWtTMipePVvNehIK5dYmqp7KysqSWvEabVnLJxQCkOyetbW1McIgjI2N4Xe/+50pwtCCCDuiPNJ2YGAATz/9NDuW6e/vV00obGlpMRU4RWNIJCJa7zXmzZsnSSjUEzjF931Qs/FGIhG0t7cDELdjxsMm91kOOqOhc/NEoWRt+vOf/4zjx48jPT0doVAo4dQmJYhesfIvzrXXXouqqipmbbLKC9vd3Y1QKITc3FxUVFQIGYeWuEpOGF6vV0IYExMTrMJ45513mLWJJh5Sqiej4u3t7WXj0AO1hEIlaxMRBjDd88Hr9SI3N9fyvg986l+ikEfaDg0NobW1FTt27EA4HEYoFEoooVANo6OjLCLaivlDCbTgbWhowF//9V/D7/dLnkulhELafdNr4xU9f6glzTkcDt2BU7yNly+OSEdCSZXZ2dmoqqpiu6WiYJP7LAd/RmNlxUvIzMxkiVqbN2/G4sWLNa1NZrywPPGKrHhDoRBycnKYf5S3NvGEQdvcWl5YJWvTbKl4CQUFBTOU6lrWptLSUjQ0NBgmXqOgz7q8vNxUSAugbm3iCQOYXkg899xzphMK1SCyAQ8RRlpaGrZt2waHw4Gvf/3r6OzshMvlMpVQqAa+4rWiJbIS5M9sTk6ORKlOCYVaSnVeeCjXFSUjMEtOvGrQk1DIB07xNl5qIiRy/uBhk/ssRzIrXtoO1EptMuOFVSJeq6GHeJUIg68w5F5YsjbRxCP6swgEAqaJV25tikQiM4SHRBiE3/72t2xsVnZfE+FYkFubHnnkEYyPj6O2thZDQ0OmEwrV4Ha74fF4kJKSYvkZL4HuU319vcRBwScUklJdnlDY2NgoOaKI1/dB1C5NvGx1pYRCpcAp3sYrD5zq6+vD1NQUsrKyNIk3EfC7NEZ2gIzaeOkayYBN7rMYyah4acWak5Mz48VRSm3q7u5mZK/X2pRMVbOR+yRPbRodHZVkoMuV6oRwOIxAIGB5W1iXy4VYLIaysrKEm72kpqYqWpt27tzJGgmRUp0nDPrstAgjHkQvgtxuN8bHx5GSkoJvfvObSEtLM51QGG8MIitetfskJwxSqtPOhd/vlwgP8/PzJQsZ2i1JdkS0nqRKtcAp3sYrD5yi8WjF2SYKq+yIajbeCxcuCP8s5LDJfRZDi3itAr9ijffi8F5YALqsTU1NTcLbOU5OTjJvuNmXk/fCKlmburq6WJeyP/3pT/jTn/4Ep9PJqicrvLAiSZGsTe+88w4A4Atf+AK7ppK1iScMJaW6GtxuN8bGxoRWvErEayahkMam1PchmWe88SZ7LaV6Z2cnxsfHcfLkSWbjqqioQFNTE+tmKTIi2mzFS9Bj43W73QCmCfihhx6SHL8YSShUg5mIaD3gbbylpaVwuVwoKSmx5HfWA5vcZzH4LbXZVPES9FibSKUOADt37kRXVxerMKyy/rS3tyMWi6G0tNQylbHc2vTHP/4Rx48fR2VlJaLRqMTaxHthadIx44VNRsXrdruRkpKCRYsWITMzU9XapEQYeqxNNNnX1tYm1H1OC/G2mpUSCumZVEoozMnJkRBGQUGB8MYyRiteglypHg6HJcLDvr4+plQnpKSkYO/evWhubjaVUKgFq++T3Mbb29uL559/HrFYDOnp6fD7/ZYHTlkRER0Poo9HlGCT+ywGPRA0+SbSPEEJVlS8PJSsTe+//z7rJOfz+VStTUZSm+QQ3ZUO+EQRfP3112P+/Pmq1ib6XYx6YYl4RUa80vMkJ145YYRCIXR1dbHKlycMubVJThiiSdHMVrNcqU4Jhby1iSeMgoICTE5OIi0tzbI8bzn4yT4Rsk1LS2OfAzAtMKTdtJMnTyISicDv92Pnzp3YuXOnqYRCNfAR0SK2mh0OByYmJhCLxVBcXIy7775bNaGQlOryvg96dCTJmD9EiTO1kBC5P/DAA/jhD3+Ie+65B48++qjq9+3evRv33nsvTp8+DafTiX/8x3/EXXfdxf7/1q1bcfvtt8/4d4FAQLIS6+npwQ9+8AO89dZbCAQCmDdvHp5//nmsWrUqkWHMSkxOTrIXh859c3NzJS9molUqVbwitoroRaMKb9WqVVi4cKGqtUlvapMSRBPK2NgYRkdHJcSrZG2K54XVsjapEa+V0LszkJ6erkgYRIhK1iYSeJGrQtRn0dfXh8nJSWRmZprqu8/3fVCzNlEKXDgcxkMPPcQIw2hCoRZEVXI5OTlYtGgR5s6dywRq1113HQYGBlQTCvnK10jfh/b2dssiotXAb/urJRTSIlQroVDLxit6x8zr9WJ4eFjowl0Jpsn98OHDeOaZZ7B06VLN73O5XLj55ptxxx134KWXXsK+ffvw3e9+F+Xl5bj11lvZ9xUUFEi2cAFIJkC3242NGzfi+uuvx1tvvYWKigq0trYm7fwi2aBKMScnB06nk1mbrPTCJqNbEhHvnDlz4lqbtFKb1KxNHo8HIyMjF6XiJRjxwqpZmy6Wj1cPiDAWLVqkam3iCQMAjh8/Do/Hg+ZmcwmFarCq4iUoWZteeOEFDA4OIjc3FxMTEzMIg1eqayUUqkF0xQt8EhFdVFSEa6+9Fg6HY0ZCYWdnp2rgFAkPtXbTkjl/KN0nowmFFDhF80pBQQEjXiA5gVlWi3C1YIrcfT4fbrvtNjz77LP48Y9/rPm9Tz/9NOrr61llv3DhQhw5cgQPPfSQhNxJfKCGBx98EHV1dXjhhRfY15K5Cko2aMV61VVX4ZZbbtG0Npn1wop+ObWI12xqk9zaRPeppqbGdKOPeDB6n9S8sFRhyL2wGRkZCIfDAKaPNmKxmOUai/7+fgQCAWRkZCTUYljL2nT8+HHWOtcsYcSD6Gc2JSWFTfa33347i99VszZpJRSqgc54k1Xx0rOkllBIz6VSQiEvPJSr1ZNR8ZKzQ89cH8/GKw+c4l0pVVVVwog3GYsgJZgi97vvvhu33HILPvWpT8Ul9wMHDuCmm26SfO0zn/kMnn/+eYRCIfai+3w+NDQ0IBKJYPny5fjRj36EFStWsH/zxz/+EZ/5zGfw5S9/Gbt370ZNTQ2++93v4o477lC9djAYRDAYZH+n7bZLAfIqS83aRJOOUS8sT7yiV6zxiFcttUmPtclKzYASrAis0OOFJfz+97/H9u3bJRWG2UYwPKyueAm8tcnlcmFsbAyrV69mpChPKKSFj1ZCoRpICwCI+7w7OzsRjUZRWFjIzqPNJBSS8FBppycZQlk9ugQ9CYVkC+UDp5qamlBZWcmIV9T8QWOQR0TrgZKNV14ckY0XAAYGBvDCCy9I+j5Y8Z5YGXhjFIbJ/ZVXXsGxY8dw+PBhXd9PQjAelZWVCIfDGB4eRnV1NRYsWICtW7diyZIl8Hq9eOyxx7Bx40acPHmSKV7b2trw1FNP4d5778UPf/hDHDp0CP/1v/5XZGZm4lvf+pbitR944AHcf//9Rod40cGf0ai9OEZTm+ReWH6raLZUvAQ1L6yStYlw4cIFZGRkqFqbzMKqipeH3Av79ttv49ChQ8jJycHU1NQMpTpPGI2NjaZ816InGJ54161bh7KyMgDmEgrV0NHRgUgkwohXBLTa/xpNKKTnmO/7kJKSIlxcNT4+LomI1gulhEJ53wdeeAhMH9l0dHSgsbHR8srXymdWLXDqtddeQzgcRiwWQ2dnJzo7O7F7927LAqcSjYhOBIbIvaurC/fccw+2bdtmiBDkN4X8wvT19evXY/369ez/b9y4EStXrsTjjz+OLVu2AJg+M1y9ejX++Z//GQCwYsUKnD59Gk899ZQqud93332499572d+9Xq/wDF0rYIZ446U2yQmDKoqioiJMTU1Z3qjDyhWrkrXJ5XLh9OnTbPFCtjRAam1qaWlJSHhIY2hsbLSsgxsPh8PBKqBrr70Wq1atYkp1sjbJCaOuro5VGHqsTdR2FxBH7kS8BQUFKC0tZV83k1DIL2R4wpht1lA5Yfj9fsnxi9vtZoSxa9cuZGZmora2lhGvaI2IWkS0HvCRtkqBU7SQ8/v9+PWvf80EtPRcJho4Jbrizc7ORmlpKcLhMNLT03HnnXeyZjq8jTfRwClaLFodmKUHhq529OhRDA4OStTpkUgEe/bswRNPPIFgMDhjAqyqqkJ/f7/ka4ODg0hLS5NMAjxSUlKwZs0aScu+6upq5qcmLFy4EL/73e9Uf9/MzExhymORSPSh1mNtouOK06dP4+zZs6rWJrMYGBiA3+9HRkaG5SvW/Px8LF26FOPj4zh//jzq6+uxcOFCdrZmpRc2GRUvT7w8YQBSa1NbWxvGxsaYUp0II561qbOzU5F4rQR/n9SIV29CoZq1iSZKURWvz+czVfEScnJyVPs+tLVNJxTySXDPPPOMKcKIBxHuEV6pvnnzZjz88MOYmJjAggUL2PY2CQ/37t2bcOCUVRHRWqBntqGhgS1kVq1aZWnglGgnjxYMkfuNN97IeooTbr/9dixYsAA/+MEPFCubDRs24PXXX5d8bdu2bVi9erXqDYnFYjhx4gSWLFnCvrZx48YZavrz588L64J1sSBixSq3NrlcLrz44otwOBwoKCiYYW2ywgvLr1hFVLzAJy/nwoUL2e6PklJdThg1NTWSCkPt9wuFQsIjXol48/Pz2VY2D16pDkBReCi3NvEhHLm5ubqIN1GYeWaNWpsIIyMjGBgYMJ1QGG8MVVVVlhAt3/eBCOP1119Hf38/HA5HQgmFaojFYsJ920NDQ5iYmEBaWhpuvfVWpKWlKSYUJhI4lYyKV82OqBY4pWTjlQdO8TbecDgsvH24Fgzdtfz8fCxevFjytdzcXJSWlrKv33fffejp6cGLL74IALjrrrvwxBNP4N5778Udd9yBAwcO4Pnnn8fLL7/Mfsb999+P9evXY+7cufB6vdiyZQtOnDiBJ598kn3P97//fVx99dX453/+Z3zlK1/BoUOH8Mwzz+CZZ54xPfjZCP6MRtSKlc6q58yZg6997WvM2kRna1Z4YUWvWKkzFyCt5IykNvHWJhofb23q6urSJF4rwJ+/6iEqUqqvXr16hrWpq6sLHo9HQhh8tKSohbDP52MthhP5vLWsTefPn2e7Tbt27cKuXbtMJRRqQeQzm5KSgurqapbA+NWvfpWdv7e1tTGyiEcY8TA8PMwqXlERr3zFS8RrNKEwXuCU6PkjEomwhXu8nSC1hEI6OpMHTpGNt7CwEOFwWGhEtBYsXxL19fWxSReYXhW9+eab+P73v48nn3wSTqcTW7ZskdjgxsbGcOedd6K/v5+Jjfbs2YO1a9ey71mzZg1ee+013Hffffi///f/oqmpCY8++ihuu+02q4dwUZHMipfOLuXWpr6+PvbgEmEYsTaFw+GkVLzhcDgu8RpNbeKtTXy/adEVr5ltYDVrE08Y/JHYG2+8gQ8++EDV2mQWNBFXVlZatrUMSK1Nv//973Hy5ElW0ZpNKFRDMire4eFhjI+Ps65yaWlpTKkeL6GQ7/tAGehK4JPmkl3xEuQJhRQ4paRUP3ToEBwOh0R4WFVVJbzi7erqQigUMkW8em28BJHzhxYS/vR37dol+fvWrVtnfM/mzZuZhUkJjzzyCB555JG41/r85z+Pz3/+80Z/xUsKyah4tVasPGGopTbF88LyxFteXi5kHGa3mtVSm9SsTcB0ZUpHQFZqOCYmJhj5WvF5K1mb9uzZg8OHDyMlJQWRSGSGtUneKMgMROsSYrEYey82bdqElpYWSUKhEmGoJRSqgYiXnmcRoPukRLzyhMKRkRGJ8FCt7wMdv5DwUPRnwSdV6tU+8IFTajZePnAqPT2d2aRTUlKE9H2w6qhKzcbb2tqK/fv3Y2pq6qJsyQN2b/lZBf6MRpRoqKurC+FwGHl5ebqIV09qk5wwSKFbW1s7Kytegpa16cKFC4x4qWe8mrXJLIiwKioqLAvR4ZGXl4dQKAQAWLt2LVatWiWpMOSRtsXFxZLjFz3WpmT4eEdGRuD1eiXEyxMGb22i8aklFJIeQW5t4ok3kSY7WtB7n3ilulJCYXd394y+D06nE42NjcI/i+7uboRCIeTk5MywOOuFHhsvMK15eeqpp0wnFGpB1H2iOaK0tJQVvja52zBMvGaQ6IpVj7WJXs6zZ89iy5YthgkjHvx+P9MNWPni8Er1yspK/O53v0NBQQHmzp3LCENubUrEC5uMipc/049HGG63G0ePHsXRo0eZ44LGphZpyxOv6IhXLeLVm1CoZG3i+z4ko+I1eg15QmEwGJTspvEJhYR3330XLS0taG42l1CoBhHiTLmN96mnnsLQ0BDKysrgdrtNJxSqIRAIsHsl6vOmhTvfBS/ZsMl9FoFenJSUFBw+fBgtLS0JpTZpXcOKh1rJ2tTa2srEkg6HYwZhWOGF5SteK7q3KYHu01VXXYXPfOYzAJStTWa9sHLiFYHR0VFV4lUjDBJW8oSxd+9eSaRtS0sLU6rTGOrq6i56xctDKaFQy9pE7xi/JWwlenp6MDU1hZycHM0223qQmZmJefPmYd68eQA+ibTdv38/s/LRWAHjCYVaEL0ICgaDrGvcN77xDeTk5Ej6PvT390sSCkl4SHOKHuEhBWaJJF7R90kPbHKfRaAHwuv14q233gJgvnmCEvgVq4iWkampqWwbuLy8HH/7t38rOVuzygtrxZa8FtS2mpWsTUSGRr2wo6Oj8Hg8Qs94SVylh3jlhEHWJtrq5iNt33nnHaZUpwY8oiaxRAJvCLSo1LI2UWOtt99+G++8847phEI1yEWsVoISCo8cOQJgWuOUlZXFdtOMJhSqweqIaCW4XC7EYjGUlpayRQhv49UKnKKEwniBU6LnD/4aNrnbkBDvxo0b0dPTo0gYVVVVbJVq9HyQJsny8vKkrFjl1iarvLCiK1632w2Px4OUlBTVrWbeC7tp0yZGGFRhaFmbWlpamBK/rq7O8u6AhERIUW5tGhoaYmPjrU2Eo0ePYnx8HC0tLYaV6lqgijc7OzvhipcgtzZt27YNBw4cQFFREWKxmOmEQi2Inux54l2+fDmKiookfR9oEaonoVBNeEgVL0+8ViPefTITOMX3fcjJyUnK/OF2u5Me8SqHTe6zBDzxfupTnwIAVWtTf38/IwxeqV5VVaVZYSRjNan14mh5YfVam0ZHRzE2NqZJvImCr3j1Eq+SF1bL2kSfU0ZGBtxut+XpYFZUvAQ+0nbDhg0sofDEiRPsHNTj8eDw4cOMMOTCQ7O2Tj7dzMrAGx600LrmmmuwcuVK0wmFapicnJTYKkWAiLekpETSn5/v+0C/CzUKIqU6Hzil1fchmfOHnmvoDZzibbwVFRUYHR0FAGG93mkMahHRyYJN7rMESltFZlKbtKxNol9OI8Sr5oWlCkPNC0tbiLW1tcIqXivuUzxrEzVkoXCf4uJiSYWRqPCwt7cXwWAQWVlZqK6uTuhnyUEJhWSpnD9/PpYtW6ZqbaKEQnou5QmFWhBtDQ0GgzP6GahZm1wul2ZCIfV9kOtIKFtdTrxWQu8zK+/7wCvVXS6XZt8H2mET9VmMjY1hdHTUdMWrFjjF23hJkwAAjz766IziyIojk9mwJQ/Y5D5roGerSCm1Sa+1qbi4GG63W2jFy4urjBIvb20CoGptIvT09ODll182RRha4Cteq7bt5Namzs5OvPDCC0hLS4PT6WRKdbfbLbE2EdmrKdW1kIyKlz7vOXPmmE4o1LI2yYlXBKjiLS4uVtw94Qlj8+bNkoRCUqpTQuG+fftYZzieMEQ3xwHME4pW4FRnZ6di3weyhZpNKIw3hngR0XqhZON95ZVX0NPTg4yMDExNTc0QHvLFkZmFGN+TwSZ3G2xiN0K8csKIRCKSCkNubSLk5eWht7fXFGHEg5VCFSVrU2trK9566y1Eo1FEIhFThBEPIiteAlmi5s6di6985Sua1iYiDF54qMfalMyKV74IikcYeq1NHR0diEajqsRrBYySolJCIS2uW1tbJX0ggGnCCIfDAGDaFx4PHo8HIyMjmhHReiAPnKIWz21tbTh16hQ8Hg8A4MiRIzhy5Iik74PehEItiK54c3Nz4Xa7AQBf//rX2fk7LzxMNHCqr6/P8ohos7DJfRbAijMaEmzV1dVJQjh4pTowLWp78cUXTRGGFkRUvDyKi4tRXV2NaDSKjIwMfOtb32KVvRHCiAd+gSK64qVJTM3aRH94pToQ39o0NTXFdjlEiYb0Eq9aQiGNra+vT2JtIotec3OzJf3q4yFRQiGl+rJly5jwUE4YhD/96U84cOCAYcLQOwYjEdF6QG1ym5ub4fF44PF4sHDhQmRnZ6OtbTqhUN73gW8UZMTGm4yKt7+/X5JUmZqaajqhsK6uTlFHQp+FqIhoI7DJfRZAxIqVV6pHo1H89Kc/xeTkJFpaWtDf34+JiQkJYeTm5kp6VxtV0/f19WFychKZmZlwOp2WjYMHf5+oRa6atcmsF1a0TYYnXrXPWw9haFmbOjs7EY1GUVRUJLziNXqf5AmFFGlL29x8QiGhv78fhw8fRnOzuYRCNXi9XrboteLz5oWHpFTfuXMn9u3bh4yMDIRCIdMJhVoQXfHy1tB169ahoaEBsVhsRqMgPQmFapATrwhoEa88oXByclJy/DIyMiJJKCThIY2PhIez5bwdsMn9osNKVbMa+vv7GfF+/etfh8PhUExtSsQLezEqXoJaalM8Lyy9mGRtSmbFq5d4lQhDHmkrtzbRJFpRUYFIJCKkgrDKTsRH2vKEce7cOSbgokkVkCYUNjc3x1Wq6xmD0+m0pHOiHKmpqfB6vQCmSfHqq6/WlVAoJwwtJKP978DAAPx+P9LT0xnx8oFTSgmFnZ2digmFvPCQt/HSGJIRmKXnPmVlZc1IKKRFDNl45cLDxsbGixrxKodN7hcZ/f39ws9o+BUrEW+81CY1L2xLS4uitUn0BKOn4iWY9cLm5OQIr3h5oZuZClQt0pa0FiMjI/D5fACmlfg/+clPJMcveggjHrxeL2teY6WPlyeMtLQ0XLhwAWVlZViyZAlrFKSWUEjCQyN9H5JZ8TY3NyeUUNjc3KzYjZEnXlER0Xq2mtUSCum55G28SoFTokWHoVAooaRKeeDU4OCgpO+Dz+djhZHIiGgjsMn9IuNiVrwEPalNvBeWrE1UYRQWFuomXrPo7OxEJBJBYWEhSkpKdP87I15YQjAYxPbt21WtTYnAal2CnDB6enrw3HPPAZgWJQYCAQlhkPCQjmDMtO+lMTidzoQqZz3XWLBgAa699lpdCYWkVKfnUsvalIz2v4ODg5iYmFAlXqMJheXl5RIdSWZmZlLOeM0sgozaeAmTk5NC+j50dXUhEolYQry8jZcPnNq+fTt6enrQ0tJyUSJe5bDJ/SJDdPVA59FGrqEntYlXqmdnZyMSiSA7Ozsp/cUTeXHUvLCtra04cuQIIpEIAoEA9u3bp2ptMnv98fFx5rMVdaZPZ8jV1dW44447MDAwwCoMJeEhTxh6rU3JrngJehIK6b+p7wNf+fLWJp54RZ3xUjWqZ6tZK6GQdtOGhoYwNDSE999/nz3H4+Pj7BoiwEdEJ/J5K9l4qapva2tjbat3796N3bt3m0oo1AK/M2A18VLgVCQSASC2ra0R2OR+EZHoVpEeUMVbUFCA0tJSUz9Dy9rU0dHBUuACgQAeeeSRhFOblCCKUIgwqqur8f777wMAbr75ZvT09Kham8x6Yakara6uFlbxyhdBRBhyaxMp1eWEwQsPlaxNyTjjHRwchM/ni7vVrCehUM3aRMcKDQ0NlltCCYncJz6h8MYbb4Tf75d0liOlOmHPnj3o6upi4zOaUKgGEUmVvI133bp1rP1vZWUlMjIyFG28cqW60c9MtK5pYmKCRUTPhvN2wCb3iwpSNTscDuzatYudHVrZt9nqFauStennP/85xsbGUFRUhLGxMVVrU3NzsykvrM/nY7YoUatimoirq6uxZs0arFmzhhEGVRiJemGTWfEqbTXz1ibgE6U6EeLY2BhTqvPWJvo3JSUlGBoags/nQ1pamvAzXiPEq5RQqGVtIlAUq9mEQjXwFa8V2/45OTkz+j4cOnQIBw8eBDCtSTGbUKgFkRUvgURoGzZswLJlyxRtvGoJhXpsvKIionnwSZVW5M1bAZvcLyJoEovFYhLCKC0tZdWTkdQmJSSjmcnY2BgA4Dvf+Q4cDoeqtWnnzp2KhKG3IUtVVVVCqXhaUCJenjDUlOp6vbCxWEy4aMgo8fJKdQCKwkO5tYkmLqvJkIcVdkS5tYknjNbWVoyMjAAAO/c1m1CoBhEVL4/i4mJ2/5csWYJ169ZJdCRGEgq1IHr+UCJePYFTchsvLa6VbLzJIN7ZZIEj2OR+EUEPxLXXXsv+zlubeC8svZhGvLDJ2CpSIl65tYkqXzXC4CtfJfK+WGe8cqgp1Xlrk9wLS4RRXFzMiFdUxKuZipeHlrWpq6uLNTIBpqutf/3Xf1W1NplFJBKxtOIl8ITR3t6Of//3f0dGRgbmz5/PCMNMQqEarNKI6LkGOVhIqU7HffTZaSUUNjerR9r6/X6WVCl6/igvL1cVd2oFTvEJhRQ4RTZeKo5EL6qTIc40A5vcLxJ44l27di1yc3NVCUNvapMc9MBVVlYmteIl8NYmUqr39fWxqp4IQ8naxCvVRZP78PAwxsfHDROvHmsTTxj0b06dOmWKMOLBioqXoGRtam9vx69+9StEo1EA0LQ2VVdXmyK1rq4uhEIh5ObmoqKiIuFxKIHu0/z58/Gf//N/Np1QqOcaoo6R+Iho+TXS09NVleptbTMTCilwiu/7AOgj3kRh9N1WC5zSsvHSwiUvL09I34fR0VF4PB72DswW2OR+kUAvjpx4rfTCzpaKl8AThh5rU2pqKqqrq+H1etnZvQjQGBK1vWlZm9ra2hCLxeDz+fCHP/wBwPSkSRMqWZvMgs6OATHVQ0ZGBjIzMxGNRpGTk4O77rpLss1tNKFQDcmseOmZNZpQSM8xjU3e94En3mRUvPEWiVqBUyQ8lAdONTU1sT7ss7ni1WPjJRX7u+++iz179phOKFQDjcFMYJZI2OR+kaB3q8isF7apqUn4dtTIyAi8Xq/pFaseaxOFk0SjUTz66KOSszWr4jNFLIJ4pfq6devw4IMPIhQKYfny5RgcHJRYm4gw5BnoRoSH3d3dCIVCyMnJERZQwj9P+fn5phMKtaxNohekeohXKaGQV6pTQiEfactXviT+1EO8ZsE3QzICeeBUNBqdITykICvCxx9/jLS0NNMJhWpwu926I6L1Qm7j3b17N3bt2oWcnBzEYjHTCYVaEL1LYxY2uV8EmLUTGfXCErq6upCZmWmYMOKBr3itOG9Vsjb99re/xeDgIFJTU2dYm4gw6GzNjBeWr3hFEQpPvH/xF38Bh8OhGGkrD+HgK4x41qaLUfESjCYUkuNCbm1KRsVLEa9lZWW6iVdOGNQilz6/QCAgUarTu5Cfnw+fzydExGVVMyTaEaurq8PmzZtZQuHZs2eZGG90dFTS98GqwKlkVLy00Fq3bh02bdqE/v5+9lx2dHQkHDglOjArEdjkfhEwOjrKKt5EVqxaXtizZ88y//mePXuwZ88eCWEYTW1Sgsgqi87rSYn/7W9/G9FodEaFwRMGn4GuV83d09ODqakp5OTkoKqqyvJxANKVPd1vpUhbftdicnLSkLVJdMU7OTmpm3iVEgr5EA65tYmEh7m5uYjFYigtLRVe8SZyn4qLi7Fq1SqsWrWK9X3gGwVRQ5a2tjY8/PDDqKyslBy/JLoQNhMRrReUUEhqe6fTibVr17Ln0mhCoRZEV7zy3A7exkuBU11dXeyzkwdO6bHxJiMi2ixscr8I4FesVnZ0472wExMTOHfuHObPn4/U1FRThKGFZATe9Pb2YmpqCtnZ2aipqYHD4VC0NhFhkFKdJ4x41iYl4rUaeoiXJ4xoNCqpMDo7OzWtTZWVlSxYReQZLxGv0T4M8khbsjZR5evz+SSiQ4/Hg1dffVXV2pToOADr7pOcMIaGhvDzn/8cwPRnxCvV+YTCeEp1LdDzlEhEtN5rzJs3b0ZCobzvg5nAqWRUvPGSKuUJhUqBU/FsvPz8Iap9uFnY5H4RILrKikajbKt506ZNqKmpkRCGmhe2qqqKTajxttqp4s3OzhZW8WqFrMi9sB6PR/Ji6rU2JaPiNUq8KSkpcDqdcDqdzNpEIRxK1qaUlBTEYjHk5OTA5/MhPz/f8onGyvukZm3auXMnQqEQwuHwDKU63/fBLKGNjY1hdHQUDofD0sAbHtQ1rr6+HrfffrtmQuGOHTtYQiEvPIy3yEzG/KFEvHxC4YYNG1jfB3outQKn5DbeZERE8/OHnvchXuBUMBicYeMlsd5s8rcTbHJPMpJR8fb09MzYKlIiDLkXlpTq5IWV91TnXxCjL44ZGLlPhYWFMwiDrzCUrE0NDQ3CA2/ojLekpMS0AFAp0pbfwqdYUb/fj+eee24GYRgJ2lGDKEIhpXpmZia2bdsGAPj617/OtCS8Up0IQy481Gttomc2GRUvbTWbSSjkhYfyNsV0NAWIe2b1Ei/f9+GGG27A5OSkZCGjFDhFu2kk2LuYgVla0BM4RT0fzF5DNGxyTzKScUbDP9RqL44eL6yWtSkZne9IKW/0GkqpTfIKgwiD8Oqrr5oijHgQMRHn5uZKlOpbtmzB2NgYampqMDw8bJgw4iEZFS9/VEUOCjVrk1yprtfaJPqZjbfVrDeh8NixYzh27BgASISH9fX1GBwcZMQrOiLaKPFmZWWpBk65XK4ZNl4ATNAmt/EmCj4i2optf6XAqQMHDmDXrl1CI6ITgU3uSUYyKl4zQhWjXlgCpaglmtokR3t7O6LRKIqLixN+cXhr04033siU6rt27WIBImYJIx5EV1lerxdjY2NwOBz4xje+gYyMjBnWJjlh8MJDPdYmGkNNTU1CrZD1XEN+n4wmFKpZm5IReNPf349AIICMjAxdxKuWUMj3fejr60NfXx9TqhMBJpJOGA9WCd3UAqcuXLjAjg1JJwOYSyhUQ0dHB6LRKAoLC4UQb0ZGBhMsi3SoJAKb3JMMWtmLUojyFa/ZFWs8L2xXVxdisRgA4K233sJbb72VcGqTHCInYlKq79y5E8B0ClxKSorEo22FF9bj8WBkZAQOh0N44A1PvErWJvrshoaGmFJdr7VJNCnGYjHdVXW8hEI1a1NRUZEh4jWDRMVV8r4P1BiI7/tA29kdHR146KGH2G6aVYFTpCAHrBW68cLDyspKtLe3Izc3F8uWLYPL5TKVUKiFZFhDRe8EJQqb3JOIqakpJrjZs2cPent7TSnVtUArViu3iuRe2DfeeANHjx5FRUUFU9AmktqkhGRUvMPDw3A4HFiyZAmysrKYtYnvqa6UgU6EQcJDtQqDxuB0OpNe8RLkSnU+81yPtamgoED4JNbf3w+/32+YeJUSCsnaRIRB1iZCamoq9u3bp2ptSgRWP7P5+fmSvg99fX147rnnEIvFkJ6enlBCoRo6OjoQiURQWFhoiVZDCfSszZs3D5/+9KcBmEso1Nv3QQTGx8fZczXbmtcQbHJPIjo6OljF6/P5LEltkkP0Qw2ABXts3rwZV111FTufVyOM3NxcSYURz9pExAuIe3Hod5MTL/nlnU4n88LyGehyLyxZm6jC4K1Nyah4jV4jPz9/hrWJP36RW5sKCwvh9/uRlpaGsrIyIeOgMTQ2NiakdZBbm4gwWltb8eGHHyIcDiMQCGDnzp3YuXMnsrKyJH0f9CjV1UDPCSCu74Pf70csFkNBQQG+973vzWgUJE8orKmpkfR90HNvL5Y1lE8opMApufBQrlSnsckDp3w+HyNeUe8ejaG6utqwhiVZsMk9iSBCWb58ORYvXiwhDDOpTUqgh06Ud1SJeAsKCjS9sBMTE4a8sHzFa/VZPkFvNaqkVFezNhFhUGMhsuGJmmAGBgbg9/uRnp6O2tpaw/+etzapRdqSIjgcDuPhhx82nVCoBVGLICKMefPmsV2Xa6+9FkNDQ3ETCpubmw1N2p2dnYhEIigoKEBpaaml4yDw94lCjurr6+MGTlFCYWNjIyNEtcAp0fMHT7xqC3c+cEopobCzsxMej2eGjZc+N3KPiCTe2b4lD9jknlTQizNnzhxFwiA1tzy1Sa+1aXx8nAnERKua1Yg3ES8sRVfOxoqXYNTaBAAffPABJiYmTCnVtWBVxUtQirTdunUrBgYGkJOTA7/fbzqhUA1kyQTEfd6dnZ2IRqPIz8/HddddB4fDYSihkISHWrtpyTjj1XpmrQic8vl8rF2raI0IHxEdD0oJhdT3weVySWy8+/fvZ/c/PT0dvb29phMK1RCLxYTndlgBm9yTBJ545S+OEmHIM9D1WJt44p0tK1YzXlhqDFFaWopYLGb5ZDk4OIiJiQmkp6cnlDSnZW06fvw4a53LE4bc2pSI8FD0IigtLQ0jIyMAptv/pqens0WMXsKIh66uLkQiEeTn5wvf9ueJ12hCIVXKVPnK1eqiP4uJiQlGvHr7PhgNnKLjsoqKCmER0VZUvBkZGTNsvPRcUkIhML2oe/bZZ00nFKpheHgYPp/PcER0smGTe5Kg94yGJwxSqvNna0peWLI29fX1ARC36rbCTqTHC0v4wx/+gB07dkgWMlZ4YWnV3dDQYGm2M29t6uzsxNjYGFasWIGMjAy4XC5Fa5O8UZDehUw4HE5KxRsOhxnxOhwOiVJ9YGBA0lNdLaFQy9rEV0AXs/2vnoRC+m/q+8B/bv39/QDEV7zyiGg9MBI4BQBDQ0N44YUXJH0frBAeiqp4+cCpwcFBPPXUU3A4HJgzZw46OjpMJxSqgcaQ6OJcNGbvb3aZweyKlSeMzZs3Y2pqSnK2xivVCW1tbdi3bx9aWloSSm2SY3BwED6fL+GKl4fc2rRt2zYcPHgQ2dnZCIVCCac2KUF0lcUT7/r161FRUQHgE6U6VRg8gQDTZ8R8haHV0a6rqwvhcBh5eXkoLy8XMg6trWaeMDZu3IhwOCwRHipZm6izHG9tEn12OTExwYjXyDWUEgrlfR94pTowbbHs6uoyrVTXgpXPrDxwKhAIoK2tDX/4wx8QCoUQi8USSihUw/DwMMbHx01HROsBbzX++te/jkgkohhpGy+hUM81ZvOWPGCTe1LAr1gTFapkZGQoWpvOnDnDfNlUHb777rsJpTbJQRNMQ0ODkBWrw+FgYr1rrrkGa9eunUEYRlOb5OCJV5RoSI145Ur14eHhGSEceq1Nyax49VSjaWlpikp13tokJ4y6ujrhu000EVdUVJiOXnU4HCgvL0d5eTnWrVs3gzDIFx4IBPDrX/+aOS544WEi74voBjzZ2dmorKxEKBRCamoq7rzzTkllb1XgFI3BqohorWvQfaKFhFbglJqNt6WlZUbgVDIioq2CTe5JwNDQEDujsariJRBhUOOVuro6XHXVVarWptLSUkkIh5EKw8hkbwZy4tVDGPFSm+TEd7ErXgJPGGpKdbm1iScM0bsPfr+fEa+Za/DWJgCKwkM+Ce75559XtTYlAhH3iSeMzZs345FHHsH4+Djmz5+PkZERSUIhKdX1JBSqYWRkxJKIaC3wxEuCWD6hkFeqayUUatl4RT+zeohXHjhFCYX0Z2Jigtl433nnHRY4Rc+m2+0WHhFtFWxyTwJEV7z8NRYsWID169erEgYp1XkvrB5rUyQSEV7xdnd3IxQKITc3l21l8zDjheUr39zc3IuualaDklJdbm3iCYPgdrsxODhoSqmuBap4y8vLLdE5KFmb/vSnP6Gvrw8Oh0PT2mS20ktGy9nR0VG21XzrrbciPT1dkTD0JBSqgcZgdUS00jXk94kPnOL7PtCOk14bbzIqXjNJlWoJhSQ8lAdO0fm8yD4AVsEm9yRAdMWr9uLoIQy91qauri5N4rUCRohXrxdWbm3y+XwAIOzMLxAIMP1DIp+3lrXp448/RjAYBADs3r0bu3fvNqVU14JIUiTCIPHkl7/8ZabEb2trm2FtipdQqIbR0VF4PB6kpKQIr3h54tUiDLWEQl54KE+sE71A4SOi411Dre+Dmo2XlOqFhYWMeJMRmGWGePnAqQ0bNrDAKV54yPeTn+2wyV0weOIVXfHm5OSgsrJS9fsS8cISYc22ipeg1wtLeOutt3D69Gl2tmZVEAdf8caryIyAtzb98Y9/xPHjx1lFq2Ztoq3EhoYGQxGnfMUr6pl1u92MeFtaWpi9CZAmFJK1SSuhUM3axBNvIiEkWoj3zKoRBj2XfELhoUOH2HPMV77JqHiDwaChipcQz8ZLSnVCOBzGG2+8wY5frGxSZfUiiA+cuuGGGzA2NobHHnvM0muIhE3ugqGXeBOB2RWrUS8sML1SP3/+fMKpTXLwFa8VL46SF/a9995jE2gkEplBGPzZmtnsddG7NMAnC4iNGzdi3rx5mtYmGq88A12r8nW73RgbGxNa8ZIgUIl4tRIKecKIZ21KRsVrVDnNEwYAllBI43O73ZKEwvT0dIRCIaSlpSE9PV1I3wf+mU3E8qZk4yXh4YEDBxAMBhEKhRJKKFRDIhHRekHFQUlJien5IZmwyV0w6MWpra2dlRUvQc0LS+ISerBpEjJKGPHQ3t6OWCyGsrIySyteQl5eHmuOs2rVKqxdu5ZtJSpZm4gwSHiot8JIRsVLxEsEoWRtoq1Sl8sFt9ttyNqUjIpXLynKEwojkciMnuq8tQn4hDCscqioobe3F8FgEFlZWaa3mimh8KqrrgIApiMhwqdt4HA4jKeeekqiVG9qajLtAOAhahFEbpaKigrs3r0bAPCFL3yBHVOYSShUA80fIolX9GLRatjkLhj0QJw/fx6PP/64qrXJLCYnJ1kespUPHU8YNTU1+PWvf438/HzMnTtX1dpE39/S0hI3tUmOZLw4dI05c+YwwlCyNil5YfVYm9xuN9xud1Iq3traWlXiVSMMvdYm0bsPZipeAgm26urqmLWpo6ODLdR4axNh586dpggjHuizSLTi5VFcXIxVq1axhMJnnnkG/f39KC0txdjYmKJSnT9+MSq4S0bFS8RbXFyMlStXsq8bTSjUsvEmc/6wyd2GhHgdDoemtamurs5UtzR6cUpLSy3Jc1YCr8S/+eabAUwTBlVPRBh6U5u0riHqxdEiXj1eWD3WJn6XxsgZtxGYuU88YZC1iT47JWsTkV9mZiZCoZDlCu2+vj5MTk4iMzMTTqczoZ8lj7QlpfrBgwdZu1Z5QiF//JLILpHoZiZTU1MsZOW2225DXl7ejIRCUqrzCYVypboWKCK6uLjYsohoOdSeWaMJhVqBU6LnD4/Hg5GRETgcjlkb8SqHTe4CwRPvHXfcgfb2djapWuWFTUaAgdJWc3FxMVavXq2oVKcQDrm1iSZUubVpbGwMo6OjcDgcwgNv9BCvHi+skrWJ+rAn44zX7FYzb23atGmTxNpESnWKJf7zn/+Md99913RCoRpEVLwEUqrTc3fNNdcgJydH1dpEhEHHL3oXZVNTU6x5jajPm4i3qKiIEa/ehEKlwCmlSNtkzh9a19CTUKgWOFVZWYnh4WGhxEtjkEdEz2YkRO4PPPAAfvjDH+Kee+7Bo48+qvp9u3fvxr333ovTp0/D6XTiH//xH3HXXXex/79161bcfvvtM/5dIBBQvJF6r3uxwT/UcsIgpTq9nHLCIKU6vZxqFYbo6kEP8cqV6pT0pWRtIi8sb22iZinJqHjNvPx6vbCEEydOwO/3q1qbzMLKipcgtzZt374de/fuRWFhIWKxmGZCIWWgG4XoKosn3hUrVqCkpIQlFMqFh3LCqK2tZYvQmpoa1d209vZ2RrxqKY2JIt59MppQqBQ4JXr+UIqI1gMjNl5CRkYGTpw4McPGawUutS15IAFyP3z4MJ555hksXbpU8/tcLhduvvlm3HHHHXjppZewb98+fPe730V5eTluvfVW9n0FBQXsDJCgROx6rzsboPVAyJXqg4ODklakeqxN/FbRbKh4Cenp6TOU6nyF4fV6JUp1mkCzsrLgdrst3x60ouIlqFmbTp48yarFsbExHDp0CIcOHWKEwQsPzYbVWKVq1gJNlhs3bsTq1aslSvX29nbdCYVq4IlXlNBNqeIFpgmDtzYFAgEJYYyOjjKlOiUU8sJDCs8BZt8Zr1ZCIe2myQOnKioqWFiM1Z0z5WNQi4jWCy0b79mzZxGJRBAMBvHnP/8ZgLmEQjUkoxmSCJgid5/Ph9tuuw3PPvssfvzjH2t+79NPP436+npWYS9cuBBHjhzBQw89JCF3Umtbdd2LDSPEyxNGvNQm3tpEix+RW0VWPNRa1qb29nbWkIU89ommNsnR39+PQCCAjIwM1NTUJPSz5CBrExHWnDlzsHLlSrZQ4wlj9+7dEsJoaWkxFMIhWuhGvQGAT2yVvFKdtzaR8FAtoVDN2kTEW1hYKPyMN14XsezsbNWEQlKqnz9/nmU25Ofns+eSdthETfZaEdF6wAdO8ZG29FxSRgNhy5YtphMKtSCKFKk4Wr58OR566CH4/X6sWrWKtaQ2k1CohoGBAfj9fksDs5IBU+R+991345ZbbsGnPvWpuCR74MAB3HTTTZKvfeYzn8Hzzz8vEev4fD40NDQgEolg+fLl+NGPfoQVK1aYvi4wrQQl4gCmt4iSBXqoa2pqDBOvmrWJ98LSJAxMk9crr7yiam0yi1gsZvm2nZwwenp68NxzzyE1NRVOpxM9PT2K1iZeeGjUC5uMipfu09y5cw0RBinVaatbzdoUCoWEV7ydnZ2MeJW2msnaVFdXh82bNzOlOo1Nj7XJbE8GIzBrR5QnFPI91Ts6OmYkFALTn3tGRobphMJ4Y3A6nXF3Q/RAHmk7Pj6O3/zmN+jq6kJGRgampqbYWAFpQmFLS4spsW4ymiENDg4y4v3sZz+LtLQ0iY23rU1/QqEaaAyNjY2WRkSLhmFyf+WVV3Ds2DEcPnxY1/f39/fPaN5SWVmJcDiM4eFhVFdXY8GCBdi6dSuWLFkCr9eLxx57DBs3bsTJkyfZw2j0usD02fz999+vf3AWwsoVq5K1qbW1FW+//TYikQgikYglqU1y9Pf3w+/3C6l4CXz3vq997WsSa5PL5ZIQhjy1Sa+1SfSWGonSlK6hRBg0to6OjhlKdYq0JeEhEUZHRwcikYgq8VoBo0lzcqW6HmsT9RoQFbrh8/lYRZrIDgdFgVZXV2Pjxo1scdXa2orTp0/D4/EAAFuEmkko1ILoXZq8vDy43W4AwF/91V8hPz/fdEKhGgYHBzExMYH09HTU1tYKGQc9W3xuB18cAfoSCrUCp0R/FqJgiNy7urpwzz33YNu2bYaqUflEQWpc+joFnRA2btyIlStX4vHHH8eWLVtMX/e+++7Dvffey/7u9XqTsq0i+oymuLgYtbW1iEQiSE9Px7e+9S12dphIapMcyVixyu+TkrWJfzHlhBHP2qRFvFahs7MTkUgEBQUFKC0tVf0+njD4EA7e2sRH2pK1qampSbJFK6riTXSXRo+1ifDWW2/h0KFDqtYms6Dnqbq62pKKl5Cens5+V9rynT9/PlPiezweSUJhVlaW5LzeSN+HZFS8fFJlfX090tLSJAmFPT09rPJVSiisqalh75xa4BSNQWRglp5nVk9CoZqNt66uTnhgligYuuNHjx7F4OAgVq1axb4WiUSwZ88ePPHEEwgGgzM+5KqqKklPb2B6RZeWlqY6EaakpGDNmjWsx7mZ6wLTRCFKfa0F/oxG9Iq1sbGRna2pEYae1CYlJKPipRdH7RoFBQUzCIOvMNSsTUT43d3duog3EZjNVlcL4VCyNhEGBwdx5MgRVWuTWfh8PuYLt6JCUbI27d69m9k+w+GwqrWpuVk7oVALoqssnnjXrVuHpqYmllDI91TXSihsbm7WXHiIjIgmKFW8BL7vQzylOn2eSoFToj+LcDhsqu++VuCUko0XgNCIaFEwRO433nijxPIDALfffjsWLFiAH/zgB4ov44YNG/D6669LvrZt2zasXr1atYKMxWI4ceIElixZYvq6FxPJqHjVVqxGU5vkXlja8tVDvImiq6sLkUgE+fn5KCsri/v9PGHotTbRGXZFRQWi0aiQz8OqRZCaten8+fNMwMV3XzOqVNczhqqqKsuy1HmkpqYyzcuaNWuwadMmSd8HeUIhnWPLCUMLya54iXj5hEJSqvf19bF3jghDnlBIxy/yKNfZUvESzARONTY2WuZQUUN3dzfC4XBCSZVqgVO8jRcQqxERBUNPTn5+PhYvXiz5Wm5uLkpLS9nX77vvPvT09ODFF18EANx111144okncO+99+KOO+7AgQMH8Pzzz+Pll19mP+P+++/H+vXrMXfuXHi9XmzZsgUnTpzAk08+qfu6swmiK95wOKybeOOlNqlZm6gXu17iNQOzFS9Bbm2anJyUVL6UtQ0AFy5cwE9+8hNVa5NZTExMSCYAq8Bbm7KysnDhwgWUlJRg2bJlqtam6upqNjbaatUL0X5nOfHKCYOEh/T5aSUUqlmbhoeHMT4+zraaRUAP8fKEwSvV6bkcHByURNrS70tbwaIbyySara4ncIq6ygHA7373O8mxoFW7qYnOH0qQB049/fTTGBgYuKQscATLl4V9fX0SJXdTUxPefPNNfP/738eTTz4Jp9OJLVu2SGxwY2NjuPPOO9Hf388enD179mDt2rVW/3rCYYR4zaKzsxPhcBj5+fmGtoqUUpv4EA6eMAjhcBjbt29POLVJCVYTSlZWlkSp3tvbi2effRbAtChRy9qkpVTXAk32lZWVQipe/hoLFizAtddeq0oYfX196OvrY0p1vdamWCwmnFCIeOlYSA658HBgYIBVvp2dnbqsTXSfjC5sjMDMVrNcqe7z+SSVLy9E3L59O/t3wWAQY2NjlgehdHV1IRQKITc3N+GkSrXAqZ07dzJ3h5pSnfo+mBUeii6iAoGApUdVyUbCb8CuXbskf9+6deuM79m8ebOEMOR45JFH8MgjjyR03dmCrq4uhMNhZGZmWppVzMMqOxHvhd28eTOmpqbY2drRo0cRDocRCASwb98+ibWJKoxEQjj8fj/rTCfq5RwdHQUwTbx/93d/J7E2dXZ2zrA2kVKdKgw91ibRE4yaOFPJ2sTvWvCEAUitTc3NzRLCGBkZYcSbjIo3nqCTJ4yNGzciHA5LtkrVrE0TExMAIKyhE1/xJrLVnJeXh6VLl2Lp0qWIxWIYHh6WkH04HAYA7NmzB3v27JEo1Y0kFKpBpB2RlOq0SPnc5z6HvLy8GTZevQmFarA6IloJVHyUl5cLSaoUDbu3vMWgCigYDOJnP/uZqrUpEYgSqmRkZGDevHmora3F+++/D2D65aTGJbxS/d133zWU2qQ2hoqKCktiK5Ug37bjrU1KhMEr1fVYm5LRuWpkZARerzcu8ebn56sSRjxrE/XEl/f8txKJ3Ke0tDT2uwLq1ibC3r170dvba0qproXu7m6EQiHk5OQkXPESHA4HysvLUV5ejnXr1uHdd9/Fvn37UF5ejqysLHR3d2sGTqklFGpBtNCNJ94FCxagoKDAdEKh2m4YEa+oiGhAmoFwKcImd4tBD11hYSE8Ho+qtamlpcVUCEcyKl4aQ0VFBTsa0ZvaRGOLZ226WBUvQQ9h8NYmJS8sT7yiIl75rWa9xCsnDN7aRBnoPGEQYrEYOjo6TCvV1ZDoGa8cStamI0eO4MCBAwCmO+0lklCoBpEVL4GO9DZs2IAVK1aYTihUw+TkpPCKlwKzlIhXKaGQ303Ta+MVPX8AEC4IFA2b3C2E3+9nL87f/u3fIiUlRdXaRF7YeKlNcvBbRYn0S9aC0vmrkdQm3gurZG1KRsU7OjpqiHh5wiBrUzwvLN1/p9M5Kytegh5rEzA9KW/dupVZm4gQEw3h6OnpwdTUFLKzs4U0rykpKWH3/6qrrsLVV1+taW0ipToJD432fRD1zPIR0XQNpcApfk5RSyikP3JydblcwiOi9eo3+IRC3sbLJxSq2XhJNyPqs9CKiL5UYJO7haDqhCfeRFOb5LjYFS/BSGrTnj17JF7Y0tJSeDweoS8OjUFuM9ID3trEe2H5DHSPx8O6lHV1deFf//VfTRGGFqLRqKUVL4FXqnd2duKFF15Aeno65s+fD5fLhYmJCcNKdS0ko+Llq6x41iZeqS5PKKyqqlLcTVMiXqvBR0SrEW9hYeGMhEKtvg9lZWWS8/pkVrxGr6Fk4+W38HkbL+H48eMYHx83nVCoBrpPIpMqRcMmdwuhtWI1k9qkZG0S7eN1u92miNeoFxaYVrCfPXvWFGHEg5WTmJK1qb29Hb/+9a9ZO1U5YfDCQ7MhHD09PQgGg8IqXuCT+zR37lzceuutqtYmNaW6HmtTMipeSrOTX0NubeITCltbW5kQkRIKs7OzZ+ymAfqIN1EYdSwoBU51d3czsu/t7cXw8DCGh4dZ4BQtXAoKChCJRCzv+6AnIlovcnNzJYFTZOM9duwYU7Hz5/XFxcWS45dEhIfJWASJhk3uFsLIA6GW2qRlbaqursbY2BgcDocwVTNNMHV1dQmJ/7S8sG1tbYjFYpiYmMDvf/97AImlNsnBR7yKeDkzMjKQnZ2NSCSCrKws/Jf/8l/Q3t7OmgXJrU3Z2dlsN6alpUW3tYkXPokKvJE/s2rWJhoPn1Cox9oUDAZVidcqEPGWlJTEvbdaCYUulwuBQABnzpzBmTNnAIAlFI6NjQkdA5A4oVBCIZGqUuBUNBoFAGzfvh3vvfce68FuNKFQDTR/WF3x8sVRR0cHBgYGsHz5chQVFaGtbTqhkLbS+YRCei6N2HhFzx/Jgk3uFsHtdmNsbAwpKSmmVqx6rE3kG43FYtiyZYuqtSkRiHioecJYv349HnzwQUxNTWHZsmUsGCaR1CY5ent7EQwGkZWVherqasvGwYMn3oKCAk2leiAQmKFU54WHahWG6OpBD/HqTShUszYNDw/rJl6zMHuf5AmFkUhE0veBCIPSCYFp8tq+fbthwogHKytegjxwau/evWyxCUyTv5pSvampyZSLJRnNkOgaK1eu1JVQaDRwiiKiMzMzhQVmJQM2uVsEfsVqhd1Nydr0u9/9DgMDA0hNTbUktUmOZKxYe3t7MTU1haysLPzFX/wFUlJSdKc2ESHGszbxFpZkVbwENaU6jY1Xqh89elTV2pTMire4uFj3eaVSQqGWtYnehcLCQkxMTAhp9GPVIogEW3V1dbjuuusYYZw9e5aJ8UZHR7F3794ZhNHS0hJXqa5nDGYiovWCMj7WrFmD6667TtJTXU2pTu+cnv4EyRDK9vX1IRAIICMjA06nk33dTEKhmo2Xz+0QNX8kAza5WwSRpEhbUiTg+ta3vgUAqtYmOWHU1dXpOlvr6+vD5OQkMjMzJS+OlVDaapZbm/gQDiIMI9Ym0QsUnnjjaR94pToRhh5rU35+PqLRKIqKiiwVCvGwYiKOZ22ampoCMP2ZPPTQQ6YTCtXg8XgwMjICh8NhuR+ZCGNiYgInTpxAdXU11q5dK1GqE2G88847cRMKtZDMirelpYXNEXKlOo2ND5zibbz02SnZeKniFRkRzc8fWnOanoRCuY2Xxia6W2OyYJO7BYhGo8KFbjzx1tbWIiUlRWJtogx0UqrLCUOPtSmZFa/WRFxcXIzVq1frTm2qqqqSiNfo+ELUy9nR0WGaeOXWJq/XK6kwyNpE8Pl8ePXVV1WtTYnA6ipLbm0aGRnBE088AWC6Z8Lg4KDphMJ4Y3A6ncIqXl50KFeq88JDtYRCOn5RO4NORsXb398Pv9+vSrxGEgrVAqf4ijdZEdF6YMTGe/jwYfbvbHK3cdEqXkJWVtYMLywJhIgw9FibRE8wU1NTjHj1LoLkqU2UVqdkbTpw4ABSUlIQjUaRlZWFyclJRKNRyxcqVt6ngoICRcLYuXMnQqEQwuGwprXJrGjJ6/VieHgYgLgOXPRZ19TU4Dvf+U7chEJSqtNCTc/C6WJZQ3mlut6EQrnwkAgwGRHRNAa9xKuWUKhl4yXniKgx0O4CkHjfByUbb2trK86dO4fx8XGhEdHJgk3uFuBiqJq1oCe1SW5tamhoYC+OqN2HRCpeQnp6uqq1iQgDmLZHPfvss6rWpkQgilCIMLKzs7Ft2zYAwFe/+lV0d3erWpv4RkE8Yegdg9PpTEoGAhA/oVCuVKe+D2rWpmRUvHqJV55QGAgEJMcvo6Oj6OrqQldXF3bv3o2MjAwmPKTjttlW8RL02ngJO3bsYBZX3sabKDo7OxGJRCwnXt7Gm56ejgMHDgjtyZAs2ORuAfRsNSeCUChkeqvZiLWJ8Pvf/x4tLS2K1qZEwN8nq14cubXp8ccfh9vthtPpxMjIiKq1ic5GjRLb+Pg4u1eiPm86G3U6nZIdGSIMIkQtwohnbbpYFS9BKaFQLjyU931wOp2sqq+rq8Pw8DAjXqWkOStgtOIlZGdnSxIKKdKW/sgTCoHprfAPPvgAzc3mEgrVQDkKgHV9H+Q23oMHD2Lnzp1s58xsQqEW+OdJFPFeDv52gk3uCYLfKgKmJ2CrK6GOjg5EIhEUFhaipKQkoZ+lZm3avXs3BgcHAYARRiKpTUoQrUvw+Xxwu90AgNtuuw1ZWVkzCIOsTWRvMuqF5StepQ6CVkBtglEiDF54KCcMsjbRzgURhjxbXQQGBwcxMTGhe6uZgnrI2sQnFMqtTUQYpHBW6ypnBaya7OWRtiQ8pM8PmHaSvPbaawDMJRSqgY+ILisrS2gcSsjIyEAwGAQALFmyBDfeeKOkURAfcQtIEwpbWlp0NwUSTbwTExOsOY5N7jbYVjMAvPXWW3j77bcTTm2SQ+SKlaxNu3fvBgB85jOfQXp6uqSph5nUJjl8Ph9bPIiqeOk+VVdXM+LlCYOsTTShmvHCit6lMbLVXFRUxJTqRBg0to6ODlVrU0lJiSHiNQMSVzU0NJh6/imhUMvaRD3xu7q68NBDD6lam8wiHA6zIBer+z5QQmF1dTVcLheysrKwcuVKuFwuUwmFWkh2xatk4+Vb5KrZeLUCpyYmJpiVT/T8UVlZKcSymWzY5J4g6IGgFXGiqU1a1xC1muSJd+nSpcjJyUk4tUltDDzxWo1490nuhfV6vZLzerkXVm5tys/PF17xDg0NwefzIS0tzdBWM08Y8axNhLS0NHa+aEaprgWrrV1ya1N/fz+ee+45RKNRpKWlaVqb4iUUqqGrqwvhcBh5eXkoLy+3ZBxy0PM0b948fPrTnwbwSUIhCQ89Ho8koTArK0ty/BIvcEr0/OH3+xnxavV9UFOqy228NTU17J2jwCl6niorK4VFRF9OW/KATe4Jgx6IzZs3Y/HixarWJr2pTXL4fD42ISez4gXUU5uUCCOetSmZFa9e4i0oKJjhhdUK4SgqKoLP50NKSgoqKiqEjCPRipegZW368MMPEQ6HEQgEsGPHDkVrk56EQjWEw2EhgTcEh8PBnBB5eXm45557JMcvcmuTVkKhFni/czLPeJUSCnnhoVLfB35O4d/hZERE0xgqKiriEq+RwCnexuv3+wHMjh2zSwU2uScAJeJVszapeWHjWZtoxVpVVSVsq0gv8aoRhpq1iScMWtzMtoqXwHth1axNpAiORqN4+OGHUVtbyyoMI0p1LYhqZkJK9QULFrBn75prrsHw8LDphEI1dHd3IxwOIzc3V9giiJ+I6ThFydrkcrlmJBRmZGRIdtPU+j6Ibiyjh3j5hEJSqlNCId/34fjx4zh+/DiATyJtW1pa4PP5AOgjXrNIhBT1Bk4RTpw4Ab/fP8PGmyhGRkYMRURfCrDJPQHEI165F1ZPapPc2pRMVbNR4o1nbZITBgCcOnUKk5OTCac2yUFjSLTiJcitTZOTk3jxxRfR19eHnJwc+P1+JjwkwuCFh2VlZYarvUgkIrTiBaTEe8MNN8DhcJhOKFRDMitepQWp0YTC/Px8ifAwPz8ffr8fvb29bBwiQPMHHxEdD0oJhfLAKT6hkO5/ZmYm+vr6TCvV1WB1xatk4/3www+xf/9+ANMW10QSCtVAYzATET1bYZN7AjD6UCulNsWzNpFYr7S0FLFYzPLJcnh4GOPj42xL3Sy0rE0nT55kKna+wpBbmxIhZdHb/unp6azpyze/+U1kZWVJmnr4/X6JUp0Ig/7oqZq6uroQCoWQm5uLyspKIeNQEleZSSjUsjaJXpAGAgFDxKtEGLzwcHx8HCdPnsTJkycBTBMGhdyUlZVZHkdMsOI+yQOneGV6W9t04BQw/Ww988wzLKGQ/iQa5jM6OmoqIloPyMZLNmBq4axk49WTUKiFy21LHrDJ3TSsWLHqsTYRXn/9dezevVvR2pQI+IrXyhUrb23q7e2F2+3G8uXLkZmZqWpt0pvaJAdf8Yra9u/u7kYoFEJOTg773ZSsTSQ8lBOGHmvTbPHx6kkoVLM21dTUJK3iLSsrM9yOl+/7sHHjRuYBp/H09fVJ+j6MjIxg69atbBFqVKmuBRGEkpeXx5Tq1P7X4XCgpaUFnZ2digmF/PGLUeEhX/FaEZildY05c+YklFCoZuONRqPCd8wuBmxyNwn+jMaqbHW5tendd9/F/v37kZWVhVAopJnaVF9fb+rlEr1i5Yl37dq1LII1kdQmOeTEKwJaxMsr1Tdu3MiaDvGEocfaJHr3wWjFSzBqbQLAegxkZGRY3vPdymc2LS2NfQ7AJ0r1P/7xj5iamkIsFmNKdT6hkP5NvIRCNYyOjiYUEa0HtAiqr6/HbbfdpplQqBQ4pcfGK3r+0EqqNJpQqGbj7enpER4RfTFgk7tJ0ENdX18v5IzG4XAwH+/GjRuxbt06XalNRPZ6rE3JOOPt6enB1NQUcnJyUFVVxb6eSGqT3No0WypeQnp6uiJh0PjGxsYk1qbMzEw0NDSgp6cHgDhyp4hXMxUvQcna1NPTw8ietlAnJyfx61//WtXalAhE2hFzcnLgdDoxNTWFlJQU3HnnnWyhpqZU10oojDeGZFS89ByaTShUs/EmKyJaL/EqJRTSc6ll452YmGBjuJQjXuWwyd0kklHx8i+OkdQm8sLGszYR8WZnZ0uI10rw1aga8RpNbZJbm0RHNE5OTjLiNXMNJWsTf14/OTkpaUO6detWVWtTIhBxn3jCuP766/HYY49hbGwMc+fOxejoqKq1KV5CoRrcbjfcbreQM14C3afa2lomiDWSUMgLD+P1fRC1kNNDvHoTCtVsvF6vlxHvxQjM0gJv46XAqc7OTuYyoMKI7/sg6rO4WLDJ3QSScUbT29vLiFdpxWomtUlubZptFS/BiBd2z5497N95PB4MDg4aJox4oIq3tLQ04c5nvLWJJ4w333wTvb29cDgcqtameIQRD6KrLLfbzbaab731VmRmZsZVqqslFKqBnqfa2lrTyuh4ULtP8oTCqakpyW4an1C4f/9+tvChsVVXVzN3Ap+tLgJmkiqVbLxafR9o0VlWVoZQKCTk87CqiFIqjtra2nDhwgWmvBf1WVws2ORuAnRGI7Li5bPV4xGV3tQmubWJPLCiKqBgMIju7m4Aib2cWtamjz/+mPW13r17N3bv3m2YMOJB5M4AEcbk5CQAMFKkCkNubaKFD59fr2chMzY2htHRUTgcDmFnvErEayahUMvalIyKVy+hZGRkqCYUtra2MiGiy+XC9u3bWUJhSUmJ8Ihofv4ws9XM23gpcEpu46XGMt3d3fjJT37CdtNIeJjo8QsfEW31u5ebm4slS5YgMzMTH3zwQUJJlbMVNrmbgNmtIiNIpMrSa20i/PnPf8ZHH32kam0yC6p4S0pKErbc8OAJ409/+hOOHDnCCCUeYTQ2Nho+4xRd8fLE29LSgqysLAlh0G4MEQZ9jkQYeqxNyah44xGvkYRCJWsT9WEHklPx1tTUGPq38oTCkZERyW4aJRQSotEo3nzzTbabZmXfB6ufWbmN1+Px4LHHHkMsFkNhYSE8Hs8MGy8p2+MlFKqBj4hONDBLDZejBY5gk7sJ0AMRCATw8ccfJ5zaJIdVFS9Bydq0f/9+HDx4EA6HA5FIRNXalIgXVvRZOPDJJLZx40YsWLCAEQZVvry1iQiDFx7GszZ5PB6MjIwkreKVK8t5axMp1XnhoZK1icbW2NjICEP0JBaLxQwTr1pCoZq1KT09HaFQCKmpqcjMzBTS98GqhbvD4UBZWRnKysokfR9aW1tx8OBBBINBhEIhllBIjgt65xLp+0DHBYC4z3twcJAR+z333COJtI0XONXU1KTLxpuM+UOkOPNiwyZ3gwgGg2yriLbcEk1tkqO9vR3RaBTFxcVCtory8/NZc5yVK1di3bp1ulKbjHphRVe8SsTLEwagrVTXY22iCaampsZySxdB71Yzr1Rft26dprWJCIMaBdEZt6jPoq+vD4FAABkZGaa3mvVYm4BpselTTz1lOqFQC6K2/WmOqKysxN69ewEAt9xyC4aGhhQTCkmpTgs1I4FTnZ2diEajlkREq0Gu1+GV6rFYTCI8VFOq09jUemyInj/Gx8dZPwNRC/eLCZvcDaKjowOxWAy5ubmYP3++qrUpES9sMraK+BWrlrVJywurZW3yer0YHh6Gw+EQHnijRby8Uh2AovBQy9okeoIxU/ESjFibCHv27EFLS4uitSkR8KRoRY99YKa16fnnn0dvby9KS0sxNjZmOqFQDdSfABBXyXV2diISiaCwsBCrVq1i95+U6rQQ9fl8TKn+zjvvzEgo1LIyJrP9r9J9ojlCT+AUb+Plj18mJiaSFhHtdDqFJVVeTNjkbhD0QCxYsACf//znVa1NelObtK4hilC0iFdubVJSqsu9sErWJv7FEV3xGrlPSkp1LWsT35s7FApZ3tOgv78ffr8fGRkZhs945VCzNr3//vssklMp0pb+mPW+A8mxhpJt6atf/SoKCwuZtcnlcmkmFJLwMN5uWkdHByKRCAoKCoRXvHKhrJnAKf74hddRiP4s+IhoPcRrxMZLgVN0/8vLy4VHRF9uFjiCTe4GIX9x1KxNfPMEI9YmIl4gOSvWeMRrNISDlOqjo6MAkhN4Y/YaeqxNsVgMAPDOO+9gx44ditamREBjaGxstKziJRBhECFs3LgRubm57LzeaEKhGqgyA8R93lTxFhQUMHGWkrWJ/sgTCkmpToSodNyVTGuo1s6APHBKKaGQAqeo7wMJD6uqqhjxivosaAzyiGi90GPjpU6KQ0NDeOyxx2bYeBNFIoFZlwpscjcAr9fLzmjUiFcptYmvMJS8sPzZGlVYTqfTUvUsj0RIUa+1ifDBBx8gGAyyszWrlNoDAwPw+/1IT09HbW2tJT9Tbm3asWMH3nvvPVbRer1eRWsT3yjIKERXWaFQCB0dHQCAZcuWoby83HRCodriQ068IhBvq5msTaRUlycUklKd1OrFxcWS45fs7Gzhk71SRLQeyBMKKXCK3js+cIqQmZmJDz/8EM3N5hIKtWBlxatk4+3p6cFLL73EugQmklCohkQjoi8F2ORuAHQ2aoR4lbywWtYmmkBzcnIwNjZmqYUMsDaiUc3a9OGHH7JdCo/Hg0OHDjHCMJvaJIfIipdA1cOGDRuwbt06VWsTTxh8hRHvGaHQEkAcuXd1dSESiSA/Px9lZWXs61oJhaRU12ttSkbFa0T7oJVQSMJD6nRHhFFZWcmIV9RkHy8iWi+UAqdobB999BEikQiCwSDefvttAOYSCtUguuJNSUlBVlYWpqamkJaWhu9///sSDZDRhEI10Bisioiejbg8RyUIVpBiPGvT1NQUAODChQt47LHHVK1NZjE4OIiJiQlLK14CKdXJQ9/U1ITVq1erWpv0pjYpQXTFGw6HWcVLpKVkbZIThhFrU2dnJ8Lh8AzitRJ6xVVywiAdCZ9QqGZtEq3En5iYYDtaZqpFPqFw8+bNCAaDkr4PQ0NDkjakTzzxhOmEQi2IemaLioqwcuVKrFixAj/72c/g8/mwYsUKeDwexUhbPQmFaqCIaCJVEaBntr6+Hjk5OaoJha2trZKIW0Bq421paVHtKHk5+9sJNrnrhJUVL0Fubert7cWzzz7L+iL39PQoWpvoxdST2iQHvTgiV6xUocydO9eS1CY55MQrAkS8eXl5KC8vn/H/1QiDKgy5tYmPtCVrUzLPeI3eJ7m1iUI41KxNwLQgLTs72/L4YHqeKisrLYk5zszMxLx58zBv3jwA04Tx29/+Fp2dncxLbzahUA0i5g85hoeH4fP5kJqais997nNsLNT3weVy6U4oVAONwex2uB5o3SejCYVk46XiKCsrKymBWbMBNrnrRDLOaHjCuu222xJObVKCaGtXOBxWfXGUUpvieWGVrE1dXV2axGsFjBKvnDCUrE1EGGRtikQiACAsZtLv97OKN5HPm4+0lVubzpw5g7GxMQBguxZK1qZE+j6IbmaSl5fHxvCVr3wFBQUFkt00IwmFahARES0Hv9VM74paQiEt1Ki6JxsvBU7xwkP++U+GK4Lmj3jb/koJhfLAKbmNt6amBiUlJcIjomcDbHLXiWRUvHKhSqKpTXJrkxbxWgWeeCsqKlS/j09t4glDj7WJ3ASzseIlyK1NQ0NDbEIlaxPh7bffxpEjR1StTYmOoaKiwpKKl8BbmwKBAI4fP465c+ciLy9P1doUL6FQDcmoeHniJWI0m1Co1veBr3hFRETz19A6ulBKKOSFh/LAKd7G29DQIHz+6O7uNk28RgKnALHzx2yATe46kYyKlyp3tRWrGS8sX2H09fUhHA4jNzdXk3gTgdmtZrXUJiVrE2F4eBhHjhxRtTaZhd/vZ7oBKz5vPtKWrE3vvfcedu/ejbS0NEQiEVVrUzyluhZEkyJPvGvXrsWcOXNMJxSqYXR0VEK8IqBFvGqEQYQoTyjMyMiQ7KbJ+z7MhoqXwNt4SalONl6+7wNv4wWmtTV+vx/hcNjyQsfKoyo1G+8777yDQCBwWW/JAza560IyzmhoxaqXeOVeWD3WJqreKisrEY1GhajMrbLJqFmbPv74Y7ZTQWfagDHCiAdayJWXlyecKKeE1NRUeL1eAMDq1atx7bXXqlqbSKnOCw/1WJuSUfGOjo7C4/FItprNJhSqWZtox6yurk54xavnPhnt+5Cfn4/Gxkb2zIr6LHp6elhEtNmkSiUbrzxwCpguRF566SXTSnUtWGmzk6OwsBALFy7E66+/DuDyPm8HbHLXBZ54RZ3RJLpi1bI2uVwuVgHRtX7yk58wwjCb2iRHIBBgZGvli8MTRl5eHi5cuICioiIsX76cKdXlhEE91VtaWgyHcCSz4m1ubta0NpFS/fz58zh//jwAfdYmIt6UlBThFW9dXZ2q4lpvQqGatUn0ZxGNRhNauCv1faB3jpTqtJMGAL///e/ZO2dl4JQIcaY8cOrZZ59Fb28vamtr4fF4JDZeALoTCtUwOTnJWiWL6jVASZWlpaWmhJGXEmxy1wGqHqLRKHbs2KFqbUoEVk9icsLo7+/Hv/7rvwKYrj4mJyclhEFKdTobNXNGSxVvWVlZQq1MtUCfxfz587F582ZVaxNV9UQYRqxNognF7XZrEi9Zm1auXMmU6vzxix5rkx7iTRRm7pNSQqGWtYkQCoXg8Xgsn5B7enoQDAYTqngJfN+HjRs3sj4Gu3btYg1mEkko1ILoZ3ZycpIdVd16660oLCzUlVDI76bFEx4mg3iTkTQ3W2CTuw7QixMIBLB3715Va5PZFbOoipcHtYMtKyvDd7/73bjWJiKMlpYW1NfX6yKIZHhHla6hZG3iK19eqQ5oW5tGR0cxNjaGlJQU4RGveoiXV6pv3LiRWZtobGrWJhLsiWphHI1GLdGhaFmbXC4XQqEQAOC9997De++9ZzqhUA38NnAiin4lpKWlobm5Gbt37wYA3HTTTRIlvtGEQjVYHRGtBArMKikpYRW53oRCeeAUFUfyY0GRW/IE0dqp2QSb3OOA73N80003sSpKydpEE0681CY5aMUqsuKVb9upWZva2qZTm3jCIKU6jU3N2kTXELWl5na7dRFvfn4+li1bhmXLljGlul5rk9vtBjD7Kl6CXmsTYf/+/ejv72cLNSNKdS309vYiGAwiKyvLMiuf3Nq0c+dO7NmzB2VlZcjKylK1NtFzqaZU14LoBSlPvAsWLEBxcbHphEK1vg80f/DEazXiVbxGEgrVbLyi5w+liOjLGTa5x4HL5WJbRRs2bAAAVWsTr1QnwtBjbUrGilVrEjOS2sR7YXlr09jYGNxut9AzXppgamtrdRMvr1TXY23i0dHRYYowtGBVxUtQsjYdPXoU+/fvBwBMTU0llFCoBpEVL4HOwtetW4fVq1drWpv4hEK5Ul0Nyah429vbEY1GUVxcPMPRYTShUC1w6mLPH0qQ23g9Ho9kTpHbeHNycuD3+wFAeD6BVkT05QSb3ONA6aFWsjbJU5vkXtja2lq2Cpdbm5JR8RLx6lmx6kltklubaMehurrasnAYOawgRS1rEynVgWli37p1q2HCiIe+vj5MTk4iMzMTTqfT9M9RAlmb6P4vWLAA11xzjaa1qbq6WiI81KtIF13xTk1NzSBeswmF9EfufOjo6FAlXqug9z7pSSiUB06R8JB0M8moeM0uIAoLC2fYeOWd5Qg///nPTScUauFK2pIHbHKPCz3EK09tmpyclKxSeWsTeWGJMMrKyjA6Oip0q4jGUFtba/gl0Wttog5fPT09eOaZZ1StTWYRjUaFEApPGD09PXjuueeQlpaG+fPnw+VyGSaMeKDqQWTFy9+neNYmUqrv379ft7VpamqKCcREV7xFRUWq2ep6EwoppbC8vFwiPEyGuMrsM6sUOMULD0mISIQFACdPnoTf72e7aVaPQU9EtB7wNl4KnPrFL36B9vZ25OfnY3x8fIaNly+OnE6n4d20ZFhDZxsSmnUfeOAB/PCHP8Q999yDRx99VPX7du/ejXvvvRenT5+G0+nEP/7jP+Kuu+5i/3/r1q24/fbbZ/y7QCDAHqYHHngAr776Kj766CNkZ2fj6quvxoMPPsi2fURgbGyMEa+RreasrCxD1iZgWt1+7tw500p1LVi5badkbXK5XPjNb37D2qlakdokB1/x1tTUJDwOJdB9mjNnDv7yL/9S0dqkRRiNjY1xjwtEVw888coXpHKlOq9Mb2tr021toopXi3gThdGJWC2hkN9NkyvViSAKCwsRjUYtX2x5vV7WTTHRdy8vL0/S94ESCo8fP85aDPM5DUYTCrUg+plNTU1lHvpbb70VFRUVkuKID5ziEwppfHpsvCIiomc7TJP74cOH8cwzz2Dp0qWa3+dyuXDzzTfjjjvuwEsvvYR9+/bhu9/9LsrLy3Hrrbey7ysoKGAPJoFfJe7evRt333031qxZg3A4jP/5P/8nbrrpJpw5cyah+EQt8BVvIitWLWsTnen7/X689tprABJLbZIjFouxl1PEtl1GRgby8/MRiUSQkZGB7373u5LqUE4YfGqTES9sMs545YsgNWsTr1SXEwZ1llOyNtFWKyBW1RyNRlFYWBi3eouXUKhmbfJ4PELHACS+7U8JhU1NTbjxxhsRCARmEEY0GgUA7NixA/v27TOdUBhvDEYiovWATyjs7u5Gf38/li1bhqKiIrhcLlMJhWpIRsUrJ97U1FTVwCmKWlYLnGpqalIsjmiXRmRE9GyDKXL3+Xy47bbb8Oyzz+LHP/6x5vc+/fTTqK+vZ5X9woULceTIETz00EMScqeJVA2UTUx44YUXUFFRgaNHj+Laa681M4y4ECFU4ZXqV199NX76058iEAhgyZIlGB4eTji1SY6+vj4EAgFkZGRYfsZL4O9TYWGhqdSmeNYm0aIhspgB6osgsjbJleq8tUkeacuHcIyOjjLiTUbFa4Sc5AmFWtYmgsvlkvR9sGrSHB8fx9DQEADrPu/s7GwJYezfvx/vvPMOe97MJhRqQTQp8sS7fPlyNDY2MqU6JRSSUp1PKCSlOj2XWjbegYEBFhEtKjCLxqBGvPKEQl54qDdw6krbkgdMkvvdd9+NW265BZ/61KfikvuBAwdw0003Sb72mc98Bs8//zxCoRAT8Ph8PjQ0NCASiWD58uX40Y9+hBUrVqj+XKoetCbJYDCIYDDI/k4d2vRAdMULTDeWIeL94he/iNTUVF2pTXyFEc8Ly5OiqBWr2oujlNrU09PDxqZkbSIvLG9t0kO8iaKjowORSMQQ8fJKdSC+tYl2YIqLi+H3+4XsOFklzlSzNn300UdsEnW73cx/biahMN4YqqurE2ojrAXKb1+9ejWuv/561vfB5XIZSihUQzIq3sHBQUa8/FaznoRCUqrzNl76w9txaQwNDQ1Jnz+UQHOEPHCKt/HKA6dqa2uFa0RmIwyT+yuvvIJjx47NsA2pob+/f0bL1srKSoTDYQwPD6O6uhoLFizA1q1bsWTJEni9Xjz22GPYuHEjTp48yc4HecRiMdx777245pprsHjxYtVrP/DAA7j//vuNDZD7vf1+PzIyMoSf8fIrViVrUzwvrJa1SfQEQy+XnmvwhKGW2iT3wjY2NrJt//z8fOEVb1NTk2lSimdtmpqaAjAtFnvooYdUrU1m4fP52Nml1TscZG2anJzEiRMnmFNEzdoUL6FQC8mseJubmyUJhZs2bZIkFJJSXS2hsKWlBVVVVTN204h4RUZE88Srtc1uJnCKqnrRPfH5wCyzfR/i2Xjp54uMiJ6NMETuXV1duOeee7Bt2zZDZ9DyyTIWi0m+vn79eqxfv579/40bN2LlypV4/PHHsWXLlhk/7+///u/xwQcfYO/evZrXve+++3Dvvfeyv3u9Xt0vWrytIisQbxLjU5t4wuArDLm1iSeM6upq4We8nZ2diEQiKCgoMOxP1WttIgQCAdab24xSXQtW2xHl1ia3282e5fLycgwNDalam0h4aFRbkIyKl3az5s6dq2ltipdQqObaSEbFOzQ0BJ/Pp0q8RhIKd+zYgezs7BkZ6HqJNxGYuU/ywCklGy+fUEgYGRlBZ2en6YRCNfAR0VYQr5KN980330RbW5vho6pLHYaeuqNHj2JwcBCrVq1iX4tEItizZw+eeOIJBIPBGR98VVUVU3MSBgcHkZaWpkoGKSkpWLNmjWRiJ3zve9/DH//4R+zZsyeu6jEzM9O0PzIZFa/RFatSahNfYQwODkoIIyUlBdFoFJmZmZiamkIsFrP84TZ7xqsENWvT7t27MTU1hXA4PEOpThNqQ0OD6c/a5/OxbVpRZ/q0LVhVVYW/+7u/07Q2bd++nREGEaIea5NoXUIsFlO0jylZm+IlFKpZm3jipaQ5q0Fj0Eu8agmFvPDwzJkzOHPmDIDpYxdyjoiq2hOteAlyGy8FTrW1teHcuXMYHx8HACbOM5NQqAUr5w85yMYbCATYNa4kGCL3G2+8UZJwBAC33347FixYgB/84AeKK7oNGzawiD3Ctm3bsHr1atVtyFgshhMnTmDJkiWSr33ve9/Da6+9hl27dgntxmTVi6OFrq4uttVcVlZm6mcoeWFp+54IA5jWHjz77LMJpzYpQdQiiASWeXl5eOeddwAAX/nKV5jHnrc28YRBY6upqdFd+VI1WlVVJcx5IbcTqVmbeEWwnDC0rE18xStKlzA8PKyLeJUSCvVYm5qamtgzK7LiTcTaxfd9WLt2LaLR6AzhIbUwBoBdu3bh/PnzppTqWjAaEa0XfOBUVlYW9u7di5qaGhQVFSnaePUkFGpBdBHl9/tZ4I1N7hrIz8+fccadm5uL0tJS9vX77rsPPT09ePHFFwEAd911F5544gnce++9uOOOO3DgwAE8//zzePnll9nPuP/++7F+/XrMnTsXXq8XW7ZswYkTJ/Dkk0+y77n77rvxy1/+En/4wx+Qn5/PdgMKCwsttZkAn2w1A8Abb7yham1KBHwFZNWKVW5t+vnPf47h4WFUVVVhdHRU0dpE1VNjY6Ph+zgxMcE+B1GLLZ54adJRszbJlep6rU3JOOPVapjCW5t4wqDKV25tAjAjhMPtdmN8fDwpFa/RxkRypXo8axMwPSl/+OGHqtYms4hEIglFvMpBbpa6ujqWUHj48GFs374dDocDsVhMolQ3mlCoBhHzhxz0XqxevZodv5hJKFSD3+8XHphF80d5ebmlx3iXAixfGvf19bFzXmB60n/zzTfx/e9/H08++SScTie2bNkiscGNjY3hzjvvRH9/P9ua3bNnD9auXcu+56mnngIAXHfddZLrvfDCC/j2t79t6RjooQagaW3Sm9qkBNGNIfx+P2ugcdtttyE7O1vV2kReWJ4wamtr407gNIbKykrLG+8Q1LaatQijra1Nt7UpGWe8w8PDGB8fZ+fq8cAThh5rU1paGtuFqaysnBWqZi2oWZtaW1sZ8fb19eHVV18FYFyproWuri5W8cqFvlaAjsAAYPHixfj0pz8teS6NJBRqQfT8oZRUqZZQSItQozZe+qxFEu+VaIEjJEzuu3btkvx969atM75n8+bNOHbsmOrPeOSRR/DII49oXodEeMkAPRA33XQT80gmktokRzK2ipSIN9HUJvlCRnT7TiNbzTxhRKNRSYWhZW0qKyuD1+vVTbxmwIurzBCTHmsTLeR6enrw8MMPs+17owmFauArXiu3/XlrU11dHbZu3YrMzEysXLkSLpdL0drEE4ZaQqEaRJ7xyq/R1NSUUEJhY2OjonA5GRHRNH9oJVXqTSjkbbx8cSRaiQ/Y5G6DA0+8S5YsQV5eXsKpTXLQi1NRUSG84lV7qOWpTUQYeq1N+fn5wl+ckZERU8TLW5t4LyxVGDxhENLT03Hw4EFThBEPVgvd5Nam/v5+PP/884hEIkhLS1NNKCTCNyM8pDPenJwcIRUv8Ml9mjt3LuuNoZVQuGPHjhkJhfGskqJFhzzxyhdBRhMKKdKW301LTU1NekS0XijZeOmdUwqconeM+ntY7fAYHR3VFRF9ucImdxnUiDeR1Ca5tSmZFa/eaxj1whYXF8Pr9SIlJUWzs2AioDEk6gHXsjadOnUK4XAYk5OT2LFjxwzCIGuTWYiqeAkOhwOhUAiRSAQ5OTn4/ve/LyEMowmFakhmxcs/s2YSCvmFDE8Yk5OTwiteI8SrlVDocrkkkbYUONXQ0MDU37Mp4lUO3sZLgVNk46XiiNr/7t+/H/v375ckFFoROEVjqKurS6iF96UKm9xl0PtQa6U2kRdWydrU1NQkfDtqdHQUHo/H9Faz3AurZG0iRXA0GsUjjzwiqTCs8sKK2hkga9OiRYuYuPDqq6/GyMgI2tvbDRFGPPT09GBqagrZ2dnCF0FNTU0Spbrc2tTWpp1QqGVtEl3xTk5OoqenB4B23wc9CYXHjh1jx4B8T3W/349YLIbS0lLdZ9tGkch9kvd9oMApmlfkfR9OnTqFqakpthC16tzaaES0HshtvO+//z7efvtt5OfnIzs723RCoRZEP7OzHTa5c0hEXGXU2gQAZ8+eRSgUSji1SQ6rV6xK1qZf/OIX6OnpQXZ2NgKBACMMsjYRYbS0tJgK4YhGo5aqmpXQ09ODUCiE7Oxs3HjjjawvgFx4KCcMp9MpyUDXqjAuVsVL4K1NQPyEQiVrE0+8omx2VPEaIV6lhEISHrpcLglh7Nu3j93/7Oxs9PX1mU4o1IKVdkR54NTAwABOnTqFffv2AZh+D3mlOiUUUt8Hs+8+jcFMRLRekOh61apV2Lx5s+mEQjVEo1Hh7cNnO2xy5+B2u9kZjZGIVznUrE1tbW04efIkq3r5znJya1MiW1Kiz8IzMzMlSvzc3Fw2oSoRBinVqcLQozPo6elBMBgUWvEqZasrWZv4lLuhoSGmVKdIWy1rk+jPYnJyEt3d3bqvoZVQqGZtKioqQiwWQ0lJyayseAnySFsiCBJ5+Xw+ANP6gWeeeYYp1WmhlujYzEZE6wH1faBFVm1tLa6//nr22SklFJoNnBJd8Uaj0RnvhdmEQvr85MJDPiJaVGDWbIdN7hxEndHwhDEwMAC3240lS5YgOzsbLpdLQhiJemH5FasoQunt7UUwGERWVhYTn/HWJgrh0FKq82drSvean2BERbzquU9ypTpfUcSzNtXW1hoiXjPo6OhgxGu0KZERaxMwvfjdunWrKcKIBysrXgKvVOfb/7a0tKCrq0tRqc73fTAa88xXvIlERGuBr0aVlOr0XI6NjUmU6mTj5YWHSnNKMire/v5+RrxKuR1GEgrlgVNUHCVj/pjtsMmdg+gqi39x1q5dy9rn0vm8GmGQUl2PtUlOvCKgVPESeMKIl9p08OBBZm2isdFiQfRnEQwGTRGvUWsTML1A6O/vR1ZWluWTvpXiTDVr0+uvv45gMIhYLGaKMOLB4/FgZGQEDodDmKqZ3ru6ujp84xvf0FSqE2HU1NSw55KU6loQ/cxqHRsaTSjkA6d4Gy+fVCmq4uWz1fUQr1pCoZaNl3Y+r0QLHMEm9/+HZFW8k5OTyMrKkrw4BQUFMwiDKl8lpTpZm6jC4M/FZkvFS9CT2kTWJvLC1tfXs17sorYGOzo6EI1GUVxcbFoNH8/aRIuHYDCIX/3qV6rWpkQg8pnNyclBbW0ti02+88470d3dLbE26SGMeKBntqamRljFK99qVlOq02fHK9X5hEIaX3l5uWQhw0dEi5o/+vr6GPHGS6qMl1CoFjjl9/sBiI2ITvQ+yW28Ho9HMqdMTEwgFAoldI3LATa5/z8k44xGD/HyhKGW2qRlbRJts5uamkooG1mPtYnO6gHgP/7jP0wr1bUg4j7JCePxxx/H6OgoWlpaMDY2NsPaFI8w4sHr9WJ4eBgOh0PYIojfaqYdGTVrk1ZCoZadMRkVb7ytZr0JhaRWz8vLkwi8fD5f0iKijRKvERsvYXh4GHv37mV9H6wSHhqJiNaLwsJCiY33yJEjePPNN1FYWCgsIvpSgE3u/w/JqHjNCFXkqU2Tk5OSVarc2kQYHx/H0NBQwqlNclDFW1RUlPCLo2Ztevvtt9HT0wOHw6FpbUrECyuaULxeLxNX3XrrrcjOzjZMGPGsTbRAcTqdwite+X1SSijkhYfyhEJa+NAilJTqyWj/29/fb5h41RIKaTfN5/NJEgppl6KsrAzhcFhI1WuV0E3NxnvhwgU2npGREWzfvn1GQmFLS0tCgVMdHR2mI6L1wOFwMMFyU1PTFRXxKodN7v8P9OJYrXIl8BVvIkKVrKwsVWvThQsX2Bbqnj17sGfPnoRTm+QQuTNA1ibqzf2lL30J2dnZEsLgrU1mvbBU8QLitv3peXI6nczmqEQYvPBQThhkbWpunm5FKhceit4GNkK8cqW6lrWJCKO5eTrQx+/3Iz09PW6Es1nQGBobG02RLinVq6qqWKStfDdtYmICwPTR209+8hPTCYVq4Cteq4VuZOPNycnBBx98gNzcXGzatIkdvxhNKNRCMq2hV6oFjmCTO8CqDgB499138fHHHyfUPEEJVPEWFhYm1PFMDt7a9NZbb+HQoUOskuvs7EwotUkJyah4h4aGAEy3Ic3OzpZYm/hdC7kXNicnRyLwUqswlIjXasS7TzxhbNy4EeFwWLJVqmRtIsIg4aHoz2JgYMA08eq1NvF46623TCcUasHq+5SWlsYaUt14443wer147LHHEI1GUVBQAK/XazqhUA2UVJmfny+k4gWk7X/XrVvHlOq9vb2qCYUkoKXnMl7glOhn1ufzsbbSV2rzGoJN7ph+cWKxGBwOByKRyAzCsMILm4wVKzV9ufrqq7Fo0SJmbeIJw0hqkxy01Q+Ij3hVIt78/HxNwvD7/bq8sLOp4iWkpaXFtTbxhJGRkYGpqSmkpKQgJyeHPb9WItGKl6BlbXr//fcxOTmJUCgkIQyjCYVqoEUTIDb1LxqNIj8/H//wD/8wo1GQ3oRCLfDVaDKbIZGbhU8olCvVeRuvVuDUxMQEI15RnwUfEa1X0Hm5wiZ3fLLVvGzZMmzYsEHT2kSEYdQLK3qraHx8nPmRiXjVrE1mvbA0hurqastDHuTXiPfyqxEGX2GoeWHpjFvUBDM4OIiJiYmEtpr1WJuAaZfHU089ZTqhUAuiqiyyNjmdTtZt7bOf/Swbo5mEQjV0dnYiHA4jPz8fZWVllo6DIM9WV0oopOdSK6GQ+j4oCQ9FV7wTExNMUKe1cE8kcIqODCsrK4URr+j7dCnBJndIG0PES22SE4YeL6zP55tBvFZDD/EqpTbp9cI2NzfPyoqXwHth1axNRBiEffv2ob+/Hy0tLYaV6lrg9RuJhl8Q5Namf/u3f0NPTw8L8DGbUKiGcDjMjqpEfd5dXV0Ih8PIy8vD2rVr2f1XsjZpJRRq9X1Ixo6Z1nvBJxRu2rQJoVBIIjykng98pG19fb1EeBgIBHQRrxVj4COi9cBo4BQwvTA/d+7cDBtvokiGOPNSwhVP7vwZjfyBMJLapOWFTUbFa5R4+dQm3gvLVxhyaxNt2WdlZSEUCiWU1KaEoaEh+Hw+pKWloa6uLqGfpWZtOnToEJso+UZBRpXqWhA9wUSjUfbM/tVf/RWKi4tNJxSqgSfe8vJyIeOQV7wEubVpcHCQPZft7e0zCKOsrEwiPFTq+yDqs+AjovVcIz09XaJU5xMK29qkgVM7duxAdnY2c6WUlpYKi4i2QiirFjjFF0fAtHvhlVdeYTZeXniYyPGP2YjoyxVXPLnTy19VVRWXeM16YXlrhgjEYrGEX04laxNloJNSnSIat2/fjl27dilamxIBjcHKipdASnVS/K5fv55l0itZm3ilekNDg+4KI9kVL21RqyUUtra2MiGiPKGQxqck8LzYFS+BJwxSqlNCISnVh4eHMTw8jEOHDkkIw+l0GiLeRMYgj4jWC0ooVAqcIuEhkeLIyAi2bNkiOX6xQngoquLlA6eWLl2KJ598EikpKVi+fDna29slNl554FRzs3pCoRpoDIlGRF8uuOLJPZGtZjVrk8vlkhAG4fTp04hEIoYJIx6Gh4dZxWvVilXuhd29ezd27drFKlo1a1M8pboWRG/7RyIRRrzLly+XEIbc2qSmVI9nberu7kYoFEJubi4qKiqEjCMe8RpNKFSyNiWj4jWTrc4Txo033ohAICDZwne73YwwCBkZGTh9+rTphEItWGkNVQqc6u7uxi9/+UsEg0Hm4Xa73ZKEQvrszAZOjY6OsopXlBWYP6r6whe+AMBcQqGea9hb8tO4osmdr3gTFbqpWZtOnTrFtrU9Hg/ef/99w4QRDzSGRJq6xANVD+vWrcPVV1+tK7WJD+GIV2FEIhHhEa9dXV2KxCu3NikRhl5rk9pWs5WgSUzPTpCcMOJZm4DpXSw6uhC1vUkLufLy8oSOQLKzs3HVVVfhqquuAgCJjuTcuXOIRCKYmprC22+/DcBcQqEaRJ/xpqSkIDc3F8FgEKmpqbjnnnskbWStCpyiZ7aurk5Yxav0zJpJKFSz8UYiEeHFwaWGK5rcR0ZGMD4+zuweVoKsTWQda2howJo1a1StTYl4YUWvWHniJSuO3tQmvdYmnngrKyuFjEPvVrMWYVDlq2ZtItGXqM8iEAiYqngJeqxNfBvSn//856YTCrUg6pklpfrKlSvx2GOPwePxYPny5fB4PIpKdSIMrYRCNbjdbng8noQjorVA96murg75+fnIz8/XnVCYm5srOX5Rs/GKJsVoNCqZP5RgJKFQbuNtaWlBOBzG1NSU0IjoSw1XNLnzZ7yiV6xz586Na20y44WVE68I0FZzTk6OIvGaSW2SW5uSccZrpOLloWRtorEpEQYwfc/y8vIsf7ZoIi4rK9NUieuFkrXp1VdfRUdHB9LT0xEKhUwnFGpB9IKUJ97Pfe5zyMjIUEwo5AlDLaFQDXzFa2VENA+t+xQvoXBi4v9v78zDo6rv/f+e7Pu+7wtb2EFccKMWKi3Uote21z7qY2nxXou3D8pjXVrv7dWrUq1tkaoX5aKUQoFaW+tCK1iBsApEUFlKIGRPJiHbJGGSSWbm+/sjv++X7zk558yZM+dMYvJ9PU+eRyfDzHxnJud9Pt/zeX/el4dF2vKNh1FRUUEJzGpsbITL5fJLeJVsvPyJjMPhkNh4abEwniNe5YxrcTd6sNeL1lazr9QmNS8s3ZKiguFLeM3AX+E14oWlzXpWnXXzFW8gJ0G8tYmPtK2qqsLZs2fR1dUFAGybmwoG/ex8CYYvrBZFOmENAO68804kJSVpWpu0EgrV6OzsRFdXF0JCQiyLeOUrXiq8RhIK5Y2H/Pc/GBWv3udQSyiklS8faUsDp3Jzc5Geng6Xy4XIyEjLIqL546zR735MTIwkcKqzs5M1VVZXVzMPvdiSv8K4FfdgVLyNjY0YGBhATEyMpmjpSW1S88LSTvxgVLxG/3D0eGEpu3fvxokTJ1StTUapqakBIcS0ipfCC8bAwAAqKipQWlrKOvG7u7uZYFBrE72+X1pa6vco4mBUvJ2dnUx4IyMjmbXJ34RCNWsTrXjz8vJGpOKl6EkoPHv2LM6ePQtg6Boxf4IdjIhol8uFqKgov4WXt/ECkNh4L14cCpyiNl5gaHb9jh072GdnZuCU2d9Z3sZ79dVXo6+vD7/85S9BCBHizjFuxZ0Kr5XXaPgzVn/+UNRSm5S8sJT29nZUVFSoWpuM0t/fz5rpzOoIlnthDx48iL179yIsLAwej0dibaInPoF6Ya3epeGf4+qrr8bkyZOZYNDqSalTnQqGHmuTXHitXENeXt6wkyp5QmFfX5/k8os8oVDN2hSMOQBG5j4oJRTyu2nyhEJg6D3p7++H2+02vZnVjIqXIrfx0k71f/zjH3A6nfB6vaqd6sXFxYabHl0uFzuBsOrzpuPDk5OTTT32fdkZt+LO+9u9Xq+lEY2BfqnVrE3nz59nW9vNzc14//33AQxdIzbLC0sr3tTUVMNz9bUICwtDb28vAGDOnDm45ZZbJIOCtLyw/lib6Gdh1S4NFV6bzcaElxcMam2SNx7KBSMnJ4d9dnJrk5bwmoU/39no6GjVhEI1a1NxcbHlTYfNzc3o7+9HZGQkcnJyDD0GdbPk5eVJIm3p95JOnPR4PNi6davhhEItrDwJSkpKwvTp0/HBBx8AAO666y7mgFELnKLfS38Cp2hglpXCKyxwyox7ca+ursYLL7wgubZmhhfWqjNW3tqUkJCACxcuICEhAXPnzmWCYaYXNpgVb2lpqaJg0AOqkmDosTZ1dXWxbHWru5q1hJd2+Obn52PBggUYGBiQVL68tYlG2vKNh3Q726rPwuv1BnSg1GNt4uc+vPfeeygtLVW0NgUC/z6Z1Vwlj7T9v//7PzQ2NiI3NxcOh0MScQvoTyhUg4+Itkq0ampq4PV6kZSUxHpk1BIKaeMhtfHqDZwKhvAKcVdmXIo7L7yRkZFwuVyqnerFxcWGvLC04k1JSTE00EUP9Es9adIkLFiwAAsWLIDL5ZJUGIF6Ya2ueH0Jb1JSEutUp4LBZ6ArNR7SCoNam3jh1Rv04y9Grr9GRERg0qRJuq1NFI/HA4fDYfpOit1uZxVvbm5uQI+lZm3at28fS2mjg4KMJBRqYfW18IGBATb57o477kBKSgra2trY99KfhEI1aMWblJQU9IpXT0Kh3sApq4W3u7sbbW1tAETEq5xxKe70Gk1KSgoefPBB3alN8k51LcycXKWGkvBGRkZKBIN2qtM/Tn+8sA6HA+3t7ZKtZqvWoEd4ecHgO9V5axNtPOStTU6nE4C143/NOIhpWZuqq6vhdrsBAAcOHMCBAwcUrU2BQL8TRUVFptuJqLVp//79AICFCxciOTmZCaLc2uQroVAN2owKWPe3R4U3MTGRvS4690Fv4JR8N01+WTCY1lBf75PRwKmcnBzLI6LpGpQiosc741LcaZc83baTpzbxM9WVOtX1WJusrh70Cq+8U/3SpUtsbbRTXc0LSy1Rubm5llW8gWz767U2UY4cOYJLly6pWpuM0tzcjL6+PkRERARc8VLk1qby8nLs2bMHqampiI6OVrU20bWpJRRqYfV3llbvAFBWVobU1FSJYMitTVoJhWo5EHV1dRLhtQJfwqsWOEW/l3xCIR84RXec0tPTLa94e3p6DAmvWuAUP/dBHjgVHh6OAwcOoKTEWEKhFmIqnTrjUtz5iFc5SoLBb5XKrU1yL2xKSgrbKrLZbJafsfojvLxg6LE2UUJCQlBbW2tIMLQghGh+Fv6iZG06ceIEywwfGBhQtTYVFxcbTuzjT1CsaMwErpyQXnPNNbjmmmsUBYNam8rLy1UTCtWgJ7WAdZdgamtr4fF4kJCQIBFeubVJqVNdLhhqkbbBHP+rV1D8DZyKjY1l9lCrMujpGgJNqlSz8VZVVeHkyZPo7+/H4OAgDh06pJhQmJ2dbfhzEhGv2oxLcW9vb0d0dLSurWZfqU1KXli6tZ2ZmWl5xRvIl1qPtQkYqoY2bdrEOtXN8sLa7XY4nU5TK14K7VSnW3UTJ07EzTffrGltys7OlgiG3sZDq5sOeeGln7fRhEL6I7c2qQmvmejdalbrVKdra21tHRZpSxMKad+MVQf73t5e1ilv9DmUAqfU5j6sX78e6enpkk51M5wSVokitfGWlpay3cAbb7yRXQ5USiikJ9elpaV+9Se1traaFhE9FhmX4g4Yu0ajlNqkZG2iU8rsdjtef/11Q4KhhVVnrHynut1ux2uvvYbQ0FBMnjyZebTN9MLSNRQVFVlW8fJ9Cb4Eo7m5Gc3NzaxTXY+1KRgVb11dHRPe1NRUxfvoTShUirQtKioK6jVef98neac635l+8eJFSSMi5dSpU3C5XH4Lht416ImI1gMfOEUTCrdt24aLFy8iLi4Ovb29rPGQzn0INHAqGBXvpUuXmPAuWLAAYWFhrDiSz33gGw9pQqGewCm6BisioscC4/YdMeNLLbc20Znqf/rTn1jzk5pglJaWGg7haGlpgdPpRHh4OPLy8gJehxL8H/93vvOdYdYmM7ywVh9gBgcHVbPV5YJBKwo1wVCzNlHhjY+PVxXeQPFXeJUSCmkIB7U2ySNt6clVUlISvF6v6Q11vb29aGlpARD4DkdcXBxmzpyJmTNnghDC/NknT55koTe8+8XfhEItrP7OhoaGsmvhd9xxB7KysiRzH/xJKFSDF16rUv+UhJcvjtQCp/iEQtp4SD87eeCU2JLXRoi7iURGRiIpKQlutxvh4eFYuXKlpDrkK46PPvoIMTExki0pvdamYFa89H1SszYZ9cJSLy3/HGZTX1/PhNfXtcv4+PhhgkEPqFrWpp6eHgBX0vKsINCDGB9pCyhbm+hs/7179+Lw4cOSEbl6O9W1oL0VWVlZqiFIRuA71elW/fTp05GamsoEw9+EQjX4iteqXZq2tjb09PQw4Q0LC1NNKLx48aKhwKlgVLx6vrP+BE4dOHBAEjhVWFho+fjwLzvjUtytrHj5pLmkpCQkJSWppjY5nc5hnep8haF2vd7qM1a3261a8VKUUpuqq6t1W5u6urrgdrt1Ca9RjG41K1mbGhsbJRnoVDAotbW1+Pjjj1mFYdZJ1+XLl1k1atY1fd7aBAy5CD788ENERkbCZrMpWpv4iYdGxNnqvgRCCPvbmz17NkpLSyWCQT87PQmFat8VKrxWRERT6BrULuEpJRT6a+O1+rPQCszSwt/AKWCoJyojI8PU1z9WGJfi7u+UNn9Qs2aopTbxXljaqU69sErWJj3CGyj19fVwu92Ii4tDenq6rn/jrxeWNgUlJyfD6XSaWs1RzDoJ4isM3tpUWVnJurc7Ozuxf/9+VWuT0cqXfp8yMzMNDVPSA90unzt3LhYtWjQsodDhcEgEQ61TXY1gVrz0s6LIBcPhcEh2LZQSCvnKlw8Z4iteqyKi/bF2Kdl4+Z1CJRtvXl4esyNaJe40qTI2NjagpEqtwKmLFy/C6/Va2iPyZWdcirtVX2q32637jFXNC0vPwtWsTYmJiXC73YiNjdUtvP4SqJ1IzQvLVxg0orGurg4vvvii34LhC6fTyaaImX0SRDvV3W43Tpw4gbS0NFx//fWGO9W1sHoYklx45dYmJcGQd6rLGw/l1+vb29vR3d09THjNRK/wJiYmDhMM/vKLPNI2LS2NrY1+nqOt4qWEh4dLAqeUbLy0MACA3//+98NsvGbAj/81S3jlgVMbNmxAU1OTmEqnwbgUd6umrTU0NLCK19+tIr3WJorL5cI777xjSDB8YfZgCF4wbr75ZnR1deGll14CMHTwbGtr0xQMI15YuoaMjAzLKl4qKBMmTNC0Nml1qmtZm4LR1exLeOWCoZVQSK1N8gx0ugazB5jwGNlq5gWDdqrL5z7wCYWUrq4u1NXVGU4oVENvRLRelGy8H374IS5cuICQkBDNSNtA5j5YPVimr6+PnbiL6+3qjEtx93g8IISYvp1j5gANNWvT/v374XK54Ha7DQmGL5xOJ5qamtg6rIBGyGZkZOBHP/qRorUpUC9ssCteipK1SS4Y8k51NWtTR0cHE16rA2/0Cq9aQiG9/CKPtE1OTmbNelZdp+Yr3kAO9nzj4cKFC9HX18dOZCorK1nzJO3mNppQqIYVFS+Fdqr39/cDAJYsWYKMjIxhNl69CYVqmB0RrQTN7aDhWQJlxqW4b9q0ifkp5damQLCqUYUKRkJCAj766CMAwLe//W12bVTJ2mTUC0sPkunp6abuBvDIq1E1axNtPFTzwlLBl1ubglHxdnR0wOFw+Nxq1hKMixcvalqb6DCT/Pz8UVXxUvTMfejs7GT3Ly8vx4ULF9hnZ1bvC614o6OjTal4KdHR0axTfe/evdi3bx+ys7ORnJysOPdBT0KhFlZ/Z3nhnTBhAhITEyU2Xv7yi1pCIRV7NRtvdXW1pRHRQHCSKscC41LcIyIihgmGv6lNcvr6+iyveHnh5budlaxNaoLhy9oUzIpX6Tn4TnWjXtju7m44HA6EhIRYXvHm5+f7FVXKCwbg29oEDF2C+eKLL1StTUbxer2m2omU5j4cP34cH330EWw2GwghASUUqmHUFWHkOebNm8cibeUz1fUkFKrBC69VW8204lUSXnnglFZCIW/jpT/08YLhPbe6OXOsMC7F/aGHHkJPTw+zbRlJbZJDrzNZuVWkJrxya1NHR8ewTnW9Xlir/zg7OzvR1dWlW3iNeGHpLkxmZqblFW+g75OStenixYuoqqpiwtvc3Iw///nPAIwlFKrR2NgIl8tlesVLiYyMZMOcysrKsHjxYslJqFJCIX/5Re/fkdXfWT4imp/7QDvV/UkopGuTB07xEdGjoeLVSihUs/GWlJQwN4xVn4WviGjBFcaluKtZm+iXVym1yZcXNhhnrHobVbRSm+rr64dVGFlZWSguLkZGRgYTXqsjXv2teCl6vLB0wldzczN+9atfqVqbjOL1ei1pGuKtTUVFRdi4cSPCw8Mxb948VFdXSwTDn4RCNfiDvdkT6eTPQd97uWBodapTwaBzH5T6SJSE12x44VW7fKc3obCmpgZ79uwZFjg1UhHRelCz8dLPjrfxUvbv34/m5maJjdfMNeiJiB7vjEtxl6OnU92XFzYYFW9nZ6ffW81qqU1K1iZKeHg4jh49qmptCgSz3ye5F9Zut+ONN96A2+1GaGioprVJTTB80dTUBJfLhaioKGRnZ5uyDjn0YD9hwgTceuutAK4IBt1xkicU0k51Wh0mJydrPsdIVLwUfxMKbTYb8vLy2Npop7oe4Q0UI++TUkKhfDeN71Snf2Ph4eFwOp2mzK3n0RsRrQfexguAFUeffPIJ222il1+MJBRqEYwiaqwgxF0BPalNvGAkJyejs7OTjWi1Anqwz8vLCygViqY2KVmbTp06BbfbDZfLhX/84x+q1iajWFXxUmw2G7xeL9xuNyIjI7F69Wo0NTWxCkNubaKCwTce6qkwglHxKr1PSoIhD+HgO9WptYlOluMbD4NR8dbW1sLr9SI5Odnn90aeUNjf3y+pfDs6OlBfX4/6+nqUl5ezTnXa/W3VThMQuKDQhMLU1FRJpC397Orr65mj4PDhwzh8+LDhhEJfa/AnIlovtDiiW/TXXHMNMjMz2edn1twHPiJaiLtvhLj7QI+1iXYEE0Lw0ksvSSqMnJwcU7akrPpSU2vTtGnTcPbsWbjdblx33XXo7OxUtTZpdapr0dzcjP7+fkRGRiInJ8fUdVB4OxEVAHrgp5G2tPLt7OxkgrFv3z6JtamkpEQ10tbq6mFgYIBNEVN7Dl4wtBIK1axN/f39uoXXKIFsNUdFRbGEQmDoWitf+TqdTtalDgBnz56Fx+Nhn51Zsw26u7vR1tZmSsVL4SNtFyxYgGPHjmHnzp2Ii4tDdHQ0Ll26ZCihUAurv7O88E6bNg0FBQWs8VAeOOUroVDtcp2VEdFjESHufuKPtYkKBl/5GvHCer1ey/84m5ub4XK5EBkZia997WsICQmBx+ORVBjyTnUAwxoPtSoMXniDcY1XDh9pC1zpVKefn1akLRUMPcIbKDU1NfB6vUhKStI9NUzeqT4wMCDpI5Fbm+j7HxMTA7vdbrhTXQszT0iTkpIwd+5ciWCcOXMGBw4cADB04iZPKOQbD430dwBXvk9GIqL1QgOU5syZg69+9ausU51eguHnQADqCYVqBMMaqia88sApGhhF1+OPjZeuwcrArLGEEPcA8dfaxHeqFxcX66ow7HY7q3itOmNV2mqmDVv5+fmsU722tpZVvm1tbX5Zm6zeUvNXePlOdSoYdG1qkbYpKSnwer1ITEy0rOI140AcERHh09oEDHXMv/baa6rWJqN0d3ezxkYr5j5kZ2ezmfg5OTlYuHChRDBoQuGRI0d8JhRqEYyKV97opqdT3R8bbzAjon0Jb1hYGHutgD4bLy2mrO7EH2sEJO5r1qzBT3/6U6xatQpr165Vvd++ffuwevVqnD59Gjk5OXj00UfxwAMPsN9v2rQJy5cvH/bv+vr6JF/UV199Fb/85S/R3NyMadOmYe3atbjpppsCWYLpqFmbtLywvqxNtOItKiqyvOLVOhDLvbC0U53+cSpZm2iFkZ+fb3nEK73Gm5iY6PecbL7CULM2UcEAhta+efNmVWtTIFghKLxgdHd34ze/+Q17jvr6elVrE90q9fc6LT2Rs7Li5UXRl2BoJRSqzX0IRsXrS3j1BE6p2Xjp3IdgVLz+2Ox4/A2cAoS468WwuB87dgyvv/46Zs6cqXm/6upqLFmyBPfffz+2bNmCgwcPYuXKlUhPT8edd97J7peQkCAZ3AFAckDZsWMHHnroIbz66qu44YYb8Nprr+Eb3/gGzpw5Y1kYRaDw1iZeMOg2t15rk9UVL81mB/yzyWilNtHGQ14wgKGK8tKlS4iNjTW9sYc/EAe6xaxmbfrggw/Q398PQoiitYnvVDfyGnp6eiyreCm88N57772aCYW0U10poVCLYFa88ufwVzASExMluxa0U721tRWXL18eFRUvRS1wSsvGSwuG9PR0S8Zu0612ILDBMmqBUxcvXsTp06fR0tJiaUT0WMOQuPf29uLuu+/Ghg0b8Mwzz2jed/369SgoKGCVfVlZGY4fP44XX3xRIu60cU2NX//61/jhD3+IFStWAADWrl2LDz/8EP/7v/+LNWvWGFlG0FESDH6rVG5tioqKQmFhoalTxJSora2Fx+NBQkKC4WQoeWqT3NpEp28NDAxgx44dEsHgrU2BYKWgxMbGorCwkHVnr1ixAk1NTarWpqSkJEkGul5rE11Ddna26XYo+XPQ90mPYPAJhREREZLLL3JrUzAqXr3Cqyeh0OFw4MSJEyy+lyYU0s+6sLDQsojoQN8nPTbewcFBAMChQ4fw+eefG+pU16Kurg5ut9t04eVtvC6XCy0tLaacuI8XDH1jH3zwQSxduhSLFi3yKe6HDx9mPl3K4sWLsXHjRgwODrKzyt7eXhQWFsLj8WD27Nn4n//5H8yZMwfAkCBUVFTg8ccflzzOrbfeikOHDqk+t8vlYtGiwNBW6mhCntpErU302hq9Xk/ZsmWL5NqaWQd/Myteitza9Morr6CtrQ0lJSVsypRcMPgMdLVOdTV6e3vZlrlVgkIr3uzsbHbQ4a1N9IBaX1+Prq4uiWDotTZZvUujR3j1JhSqWZv6+vrQ29uLsLAwy8Ji6Br8FV55QiGd+0D/7lpbW4fNfejo6MCBAwdQWlpqqFNdDbfbzSJYzfq85TbeTz/9FO+//z5CQ0Nhs9kMJxRqYcXxQ+s5BPrwW9y3b9+OTz/9FMeOHdN1f9qJy5OZmQm32422tjZkZ2djypQp2LRpE2bMmIHu7m689NJLuOGGG/DZZ59h4sSJaGtrg8fjUXwc/o9Qzpo1a/DUU0/5u8QRwYi1ySwvrLyhx2x6e3vR1tYGALjzzjsRExMjsTb56lQvLi72WWHQNWRlZQWt4qXw1iYqGHwIR2trqy5rEyHE8kllly5d8lt41RIKq6urFSNt6TjjtLQ05t82G7MO9kpzHy5eHBr/S9fT0dEhmftAv5N6EwrVqK+vZxHR6enpAa1DCZvNxmy606ZNw2233WY4oVALq4XX6XSyiFch7vrxSw3q6+uxatUq7Nq1y6/rpfKzOUKI5PbrrrsO1113Hfv9DTfcgLlz5+K3v/0t1q1bp/k4WmeKTzzxBFavXs3+v7u727JKwmyUQjjkqU1qgqGV2iSnt7eXdR1bdY1XSXiVrE389XqlTnUta9NIXuOVExERgYkTJ2LixIkAwCJs6fr4znXgirUpLS2NCa9VfSRGK14KP/eBWpvq6+tZ5dvc3MzS7Ox2O55//nkmGHTuQ6CNh1ZUvBSaUJiQkIDPP/8c0dHRWLBgAdtNUwqcokJfVFTkV/NgMCpefidIbuN1Op2SuQ9agVNqNl5eeK3uEcnIyDBtfsF4wK+/7oqKCrS2tuKqq65it3k8HpSXl+Pll1+Gy+Uadt00KytrWHXd2tqKsLAwpKamKj5PSEgIrr76arbtl5aWhtDQUMXHkVfzPJGRkQFNcxtN6Eltov/NpzbRA4+atYn+4WRlZZmaOKb0HFoDWXgvLG3wo9WhL2tTdna25bsPbW1t6OnpMSS88fHxwyJt+Znq1NpEsdls+PDDD1WtTYFg9kkQLxjA0PfypZdegsfjQXx8PHp6ehStTb461bVoaGjA4OAgYmNjkZGRYco65PDjf6+99lrVhELaqc4nFPKNh1onUMGoeLWSKmNiYobZeOn30peNt6RkKHCKF16rIqKDMXd/LOKXuC9cuJCNXKUsX74cU6ZMwWOPPabYEDV//ny89957ktt27dqFefPmqSZaEUJw8uRJzJgxA8BQJXTVVVdh9+7duOOOO9j9du/ejWXLlvmzhDGDkdQmvsKggmHUwqIXI1vN4eHhitYmWmE4HA6JtSkiIgIDAwOw2WyIjY21pCOYriHQUaB8pC21NjU2NqKqqgpHjx5Ff38/BgcHcfz4ccMJhWp4PB7WnGnVgbK9vR0ejwexsbF4+OGHdXWq842Hek4w+e9TMK/x+pNQ6CtwKtgR0XqENzk5GfPmzdMdOJWZmcl2Ya1KaAtGc+ZYxa+jVHx8PKZPny65LTY2Fqmpqez2J554Ao2Njdi8eTMA4IEHHsDLL7+M1atX4/7778fhw4exceNGbNu2jT3GU089heuuuw4TJ05Ed3c31q1bh5MnT+KVV15h91m9ejXuvfdezJs3D/Pnz8frr7+Ouro6iV9+vKLHC0utTVQwcnNzUVxczK5xW13x0gOjEZSsTfxMddrVTAjB+vXrJdYmvYLhC6sa3ej7kpubi8OHDwMYajilQSNGEgrV4CterR2vQOBPFrWsTVQwHA7HsIRCvo9EqQCwuulQr/DqSShUC5zyeDwA9AuvEQKpeOWBU4ODg5LLgtTCS6moqMClS5eG2XgDpbOzEw6Hw+/ALIEFE+qam5uZ5xEY+iPfuXMnHn74YbzyyivIycnBunXrJDa4rq4u/Nu//Rvsdjtr3ikvL8c111zD7vOv//qvaG9vx9NPP43m5mZMnz4dO3fuFB+4AmrWJiqIvLWJcvjwYfbHGUhqkxz+Gq8Z2eq8YNBO9U2bNqG+vh5JSUno7u5WtTZpCYYWwah4qfDGxMTg2muvZe+/r4RC2qlOt7q1Im358b8j0dXsT0LhoUOH2IkP33jocrksr3jpyUNaWppfEcF65j7wgVPA0Hty7tw5wwmFWphZ8YaHhw9rPDx16hQ+/PBDAEMjsuU2Xvqd1JNQqAb9zhqNiB7PBCzue/fulfz/pk2bht1nwYIFrMNbid/85jdsYpYWK1euxMqVK/19ieMePdYmfrKc0dQmJYKx7U8riO9+97tITU0d1qmuJRjZ2dk+ha6xsREDAwOIiYnRnMUQCGrNVb4SCpWsTXSbW25tsrri7e/v90t4tRIK6dwHujtDO9VTU1NBCEFycrJfwusPZoiifO6D2+0etpsGDE2o2759Ozvx4TvVA5n70NnZia6uLssq3ri4OHZ5qqCgALfddpvksqDS3Acq9P4ETokUOOOI2fLjEH+tTUa9sHzFa9W2PxXe6OhoZinjO9X5RkPaqS4XDF/WppGueCl6Egqpteno0aPM2lRcXIy8vDzLI16rq6tBCEFqaqqh2fQ0oZDOfWhvb5dcr+/r62Nr6OzsxLp16ySXX8wac2vFNd6wsDA292HOnDlYt24dbDYbZs+ejdraWkmkrTyhsLS01O/AKbMiorXgm1jT0tKQlpZmKKFQLXDK6ojosY4Q93GOkrXJaGqTHLnwWoEvOxG1NvGd6nyFIbc20Uhb3tpkdUNPf38/q+T8eQ5/Egop4eHhOHfunKq1KRDMfJ9sNpuiYGzbtg19fX3Mw200oVCNzs5OdHZ2mhrxKoe+T/n5+fjWt74FYOjSJN+pLp/7QDvV6Va3L0uY1aKoJbx6bLx8QqFa4FQwIqLHMkLcBRKMpDapeWFH2+QqvlNdzdrECwY98aE+Xqv6O2pqagKqeClaCYXnzp2Dx+PB4OAg/va3vwFQtjYFgpUnQSEhIYiPj2fC/tBDD7EUv+rqaolgyBMKS0tLdTce0jUEo+Ll36ekpCTFhEK6m6bUqU4r34KCAsn16GBFROsVXqXAKf6YIg+cojZet9sNwNqI6LGMEHeBJnynOgDWxc1bm9S8sHROgVUHGJfLFdBWsx5rExV2AHjttdcMd6prYVVfAp9QuG7dOnR2dmLmzJnMe24koVANOlLYyoqX32pOSEhAQkKCroTC3bt3s051Kohq1+utFkU9W816Egppt/qRI0dY4BRdm9frHZGIaL0kJCQMs/HK5z7wYVNiS94YQtwFfuHL2iQXDGBoez4xMdFQp7oWtOJNSUkJaAwoRcna9M4776C6uhphYWEYHBxUtTb56lTXwuoBPF1dXWyr+Rvf+AaioqIMJxT6WkNeXp7paX8ULVGUd6pTwVDrVKeRtvTyS2RkJAgh7Dms+izsdjv6+vr8El61hEL6d+dwOCQJhfRyRFJSErq6ugwnFGph1kkQb+OlgVMNDQ2orKxkuSFC3I0hxF1gGD3WJgCskUbJ2hTIdpvVVVZCQgILG7rjjjuQmpoquV4vF4y0tDS2Nr3WJofDgfb29qBc483NzWXCqyYYVBCVEgrlk+WUnsNKV4Tez1tJMOSNh/JI27y8PKSnp6Ovrw/h4eGWXeOluw9FRUWGv/uxsbGYPn06pk+fzgKn+N00GpbV0tKC3/72t6xTne5cBJq9MDAwwCKirZj7UFhYiIGBARw6dAiJiYmGkyrHO0LcBaahZW2qqqpS7FTnBcNfL6zV4s4Lb0lJCaKiooZZm2jl29TUhLa2NrS1teHo0aNMMHxZm5SE12z0vE9KgiEfFKRkbaInMsGqeCMiIvzeapYnFPb390sqX75THRiaXf/HP/6Rrc/fhEItzG504wOnrr76arhcLrzwwgvwer3IycmB3W43PXCqrq4OHo/HUuENRr/OWEeIu8Ay9Fibzpw5gzNnzgC40qmux9rU3d2Ntra2oFe8FN7aBECxU13N2sQLhtUnKEa2mo0kFAJDOzkDAwNwu92m55/zFW8g/m9gaO5DWVkZysrKAIAlFH788ce4fPkyCCGqCYV6OtXVoJdCAOs+7/r6eni9XiQkJGDFihXDJsvpTSjUYqTG/wr8Q4i7ICioWZtodSjvVAe0rU30jz8nJ8c0f7Mcf7aa1TrV1axNVDDo/1t1ELPb7XA6nYYqXorc2jQwMCBpPLx06RKAoWaxrVu3sk512uClN6FQCysP9klJSZgxYwZ27twJYGgYEt3qrqur8zuhUA1a8SYkJKiGZgWKvOI1mlBI16fUy2K1za63txetra2WPsd4QIi7YETgBYN2qtfW1uqyNpWUlFieFMVf4zWy1cx3qhNCJI2HvGBQdu7cyRq85NamQKBrMKPipUREREisTW+++Sbq6uqQk5OD7u5uSac6n1BIf/y1+/EVr1Xb/rzwTpkyBTabTZJQyM990Eoo1Iq0HQ0Vr1JCId9HQhMK+UhbfjfN7XaPSES0wH+EuAtGBUpeWDVrE4/H44HD4QjIH65ES0sLnE4nwsPDkZeXF9Bj0WS3nJwcibVp//79LJecFwy5tSmQEA6rG93cbjcbOXv77bcjLS3NcEKhGlR44+Pjg1bxUvxNKIyKipJcfuEjba3eau7t7WXCG8jcB343jUba0sApWsmnpKSMaI+IwDdC3AWjEl/WpsHBQQDAoUOHcOjQIWZtog1egR54rKh4KbRTnabA3XLLLUhJSVG1Nsk71fVam+i0QcDaitftdiM+Pp71ERhJKKRry8vLG/Z+8zsoI32NVymhUD73QR5pSxsq/RFeI9Dt8qysLEMDifi5D3zgFF1fe3s7Ojs7AQzNu3j++edRVFTETtTMCJwKdMdMcAUh7oJRjxFrExWM0tJSQyEcVlcPbrebVe1TpkxBRkaGqrVJq1Ndy9okF14r8NXVrJZQyAsGTSgsLy9HeHi4pPJNT0+3fPfh8uXLsNvtfj+HWqQtrXzr6uqGJRSGhYXh0KFDrFPdzLkPZr9P8sCprq4uvPbaa+jv70dUVBT6+/tx/vx5NqzKjMApPiI6Pz/flHWMV4S4C750yK1NfX19EsHo6OiQCAbtVKcVhi9rEy+8VnY1u91uxMXFIT09nd0utzZ5vV40NTVJBgXptTaNtvG/gL6EQl4wYmNjcfnyZQBDjWxWQCvezMxMw53wgHTuw80338zmPlRVVeHkyZPo7++H2+1mu030xId+L/V0qqsRjIrX7Xajv78foaGhePjhhyUnof4mFKpB12BWRPR4Roi74EtPdHS0orWJ/qh1qtPKV15hqAmvmehtrqJBPXl5eUww+MZDLWsTHQls1QmK0+lk43mNPoevhEIq7MDQ+F8+obCoqMiUxkOrdgbo3IfS0lKcOXMG/f39uP7663H58uVhnep8QqFWp7oa7e3t6O7uZlvrVkC/s7Th00hCIT/3QamPxOpdmvGEEHfBmCMpKQlz587F3LlzWQgHX2H4sjYFo+I1aifSsjZVVVVJIm4pZ86cgdvt9lsw9K4hIyMjoIqXopRQuGPHDly4cIFV8EYTCtUIRsXb0dHBhPcrX/kKwsPDdSUUpqSkSBoPtSyfdA1mb/XzaH1n/UkoVAuc8nq9lkdEjyeEuAvGNHwIh15rEz+b2+v1mp5I5XQ6WYd5oFW1krWpqqoKn3/+Oauq+WAfubUpkMZDq/sSQkNDmYf+9ttvR05Ojs+EQiowpaWlkk51NTo6OuBwOIJW8VLh1ZNQSDvVaUIhP/chLy9Pce6DVZ+Fx+Px64RUK6GQDrCSB05lZmZaHhE9nhDiLhhX6LE2DQwMAADKy8vxySefDJupHmg1T6uT9PR0Q01HavCCcenSJTQ3N2Pq1KlIS0tjnepya5N8UJDexkN/Zr0bRS68ERERPhMK5Z3qVOiLi4sVO8jpGvLz802bLaD2HFpbzXoSChsbG9HY2Ij9+/cjPDyczX3gx/9a9Vk0NjYy4c3Ozvb73/NzH7xer2Q3jSYU0hwHMXLWHIS4C8Y1Rq1NtPI1YjkK5gCe2bNnY+LEiaqd6nLB0Gtt6uzsRFdXF0JCQizLufclvL4SCh0OhyShMCsrS5KBHh4ebvkJitGtZqWEQr6P5PLly5KEQmDoBKGlpQVxcXGGEwrVMPNSVUhIiOLch7/+9a/o6ekR/naTEOIuEPx/jFibsrKyJJ3qeq53Wl1lqQmvv53qWtamYFa8et4nPQmFdrsddrtdEmlLw2KsyidobGyEy+VCVFRUQFvN8rkPra2tks/O6/XC4/Hg3XffBWAsoVALKxvd6KCo3t5eAGJ4jVkIcRcIVFCyNslDOKhgUGsT7VRXszZ1dnais7NzRCteilKnul5rEz0BsLLiDeQkSCuh8OLFK5G2lG3btgWUUKgGf4JiVu+GzWZDZmYmSyh84403UF9fjwkTJqCvr29YQiH9HvONh/7MfXC5XGhoaABgXaNbTU0NCCFISUkxtelzPCPEXSDQibxTne9Mp9YmeaQt3b4vLS1FUlIS25LPy8sLuJpSw8hWM9+prsfaRHE4HKivrzfUqa5FU1MTq3iNXOOVo5RQuGvXLpw/fx4hISEBJRRqYbW1y+VyobGxEQCwZMkSJCcns7kPtI9EKaGQbzxMTU3V3GqnwpucnGyZ8IqRs+YjxF0gMEhcXJxmCIfc2sRXg1ZN3wq04qVoWZsqKyvR09MDAGyYjpK1KZBrs7womu1WoAmFtHFy8eLFyM7OlnSq+5NQqEYwKt7a2lp4vV4kJyez75d87oNSQqG8U50/kZHbGoMhvELczUeIu0BgAnqsTXQuNzA0E7+mpkbV2mSU5uZm9Pf3IzIyEjk5OQE/HoW3NpWXl2PPnj3IyspiM/H7+/tVBaOkpMTvxkOrD/YDAwPsevuECROQkpLCIm39TShUi7RVEl6z0fM+yRMK7XY7q+pppzrfeJiZmSmZLGf1HIDu7m60tbXBZrNZ1vswHhHiLhBYQCDWppKSEmRkZBiqfK2seCl0Z2Du3LlsRK6StUkuGPygIK3GQ154rRJ3KrxJSUnDhNffhMLY2FjJ5RfaqR6MaWv+ngTxcx/4TnX62dntdrS0tKClpYUlFHo8HgBD74sVcx/oGnJycgxf/hAMR4i7QBAE/LU2UcGgP3qtTcGoeGnSHH0ONWsTrQ6pWLS0tEg61ena5JG2WsJrFv5kq/tKKLx8+TK++OILfPHFFwDAEgrpLoaVFS8d8mP0BIImFNLXePnyZUnjocPhYPf9/e9/bzihUAuxJW8NQtwFghFAy9pUU1MzTDD0WJuCUfHW1dXB6/UiMTERKSkpivdREgz+RIZ2qtfU1ODjjz+WCEZpaemoHv/rT0Ih5eDBg2hpaTGcUOhrDWZWvLGxsZg+fTpLKNy+fTsqKyuRmpqK3t5ewwmFagRjGNJ4RYi7QDDCyK1NbrcbDQ0N7Jqv3Npks9mGzVQPDQ1FXV0dPB6PpvAGij8VLyU2NlbSqd7R0cEq35qammGCQav4iIgIOJ1OvwXDFz09PWhtbQUQ+Ja5PKGwv78f1dXVOHbsGBNfer2eTyikn52vhEItgiGKtBP/m9/8JgoKCgwnFKrR2tqKy5cvM6+7wDyEuAsEo4ywsDAmGAAUQzjk1qaioiLW/V1cXDxqIl7l8JG211xzDbxe77DGQ6/XCwA4cuQIjhw5gpycHHY9W2+nuhZUdLOzs00/cYiKikJZWRmbaDhv3jzWiV9dXQ2n06maUFhSUqI7gCcYFa9ceNUSCvm5D2oJhSUlJYpzH+gaCgsLTWkoFVxBvJsCwShHLYSDtzZRsQCGgmL++te/sq1uMxLbgCFfv1kVLyUkJAT5+fmsU72iogLvv/8+YmJiEBsbK+lUp4Khp1NdC6tFkRfeqVOnori4WDGhsK6uzmdCodoQokuXLqG3txdhYWGW2Sp9Ca9WQiGd+0D/Gxga9cxffklMTBRb8hYixF0g+JIhtzbxM9Xr6urQ19cn6VSngkFnqhsdF0sPxFlZWYZm6uuB9gzMmTMHixYtkgiEUqd6TEyMpPJNTEzUfHxCiOWz/dWE10hCId94mJOTwy5Z0DVYWfH6K7xqCYXV1dWoqamB0+kcFmlL7aFC3M1HiLtA8CWGJrvJO9V5axMvGLRTnW5zyzvVtbB6Jr7SVnN8fDxmzZqFWbNmsU51vvHQ6XTi1KlTOHXqFIArneq08VAeadvW1saE16qIV71bzXoSCmtra1FbW4s9e/awSFu+E9+qz8LtdqO2ttbwc/BzH6677jo294GKPY20BYZ6MjIyMkx9/QIh7gLBmEKPtYl2qu/Zs0e3tSkYFW9bWxt6enpUhZfvVKeC0dDQwNbW2NjIOtWPHTsGm80mmamel5cnyVYfLRUvxd+EQmBop+PUqVMoKSkxtX+goaEBg4ODpgkvP/eBJhS+++67OHv2rIh4tQgh7gLBGEZubVLKQNdjbWpvb0dPTw87SFuBv8IbGhqKwsJCFBYWSiJtaXXY3t6OhoYGNDQ0oLy8HOHh4eySREZGBgghpouKx+NhgTSBnARpJRSePXsWdrsdACRibyShUA2r7YhRUVGS/HaB+QhxFwjGCXynOp0sp9faRDvxAxUNLQLd9tcTaTs4OAhgqBOfVrxKkbZGoRVvTEwMMjMzA348Cp9Q6Ha7YbfbUVhYyDrxlRIKCwsL2eUXpU51LaxudKPpdVY+x3hHiLtAME5RszbRype3NlEcDgcOHjyoam0yilkVL4880vbEiRN47733EBISgpCQEMVIW/56vZHGw2AM4KHPMWvWLMyZMwfAlYRCes2eb0RUSyhUIxjCW11dDUII0tLSdE9fFPiHEHeBQABA29pUVVWF3t5edHR04KOPPgIgtTaVlJQEFAfa2NiIgYEBxMTEICsry4zlSLDZbGyU6tSpU7Fs2TJJ42FzczOLtP3kk0/YiQ91GfCd6lpYXfH29/crCq+/CYUpKSlM6IuKiiQT7mjEq5XCKyxw1iPEXSAQKGLE2sRfr5d3qmtBr7cHYwBPcXExwsLCFDvVqSB2dXWhrq4OdXV12Lt3L+tUp4KYkpIy7HX29/eziW5WV7ypqamqtj89CYUdHR3o6OhARUUFc1zQ9+P8+fOWrgEQ4h4MhLgLBAKfaFmbaKc6FYzjx49LBKO0tBR5eXmaM9WDUfFS4VUKcuE71QEoNh7yzWuJiYlM6IuLixEbG8sqXi3hDRQj75O/CYWUgYEBtLS0GE4oVKOzsxOdnZ0i4tVihLgLBAK/UbI28YLR3t4+LNK2qKiICWJ6ejoTDF/CawZUeFNSUnQJr1KnOt946HA4JIOCsrKyQAgBAEsFy4yTIK2EwqqqKjidTgBg6zOaUOhrDXl5eYoBSAJzEOIuEAgCRk+n+vnz59mWb1xcHBMLr9frl/AaIRBR5DvVb7rpJhZ7S9fW0tLCrGkAcOLECXR0dEhmqpuRgd7V1YWOjg7TK14+oZCO/01KSkJaWppipK2ehEItxJZ8cBDiLhAITEfeqd7S0sLEsLa2dlinOjAUmFNZWYnCwkLTKzoqKGbsDERERGDChAmYMGECgKFO9dOnT+Pvf/87AMDr9aK6uhrV1dWsU10+KCiQNeTl5fnVz+AP1I44a9YsfOUrX/GZUEhPfOQJhWoQQiyfdCgYQoi7QCCwFJvNhqysLGRlZeH666+H2+0eloEODKWQbdu2TdKpTgUjkMrX4XCgvb3dsmu8cXFxzPufm5uL22+/XXK9vq+vD2fOnMGZM2cADGUD8I2HerPY+YZAK1Aa/6uUUMgPCuro6FBMKKS9FqmpqZLr9c3Nzejr60NERARyc3MtWYdgCCHuAoEgqISFhbHO84ULFypG2so71fkMdLlg+IIKVm5uruUVb2lpKdLS0pCWliaJtOVnqnd2dqKiogIVFRUAIOlUV4u05Steq/oS7Ha7T+GNjo5GWVkZysrKAAxdKqBr4xMKaUphQkICO4kpKSmRnKBoVfiCwBHiLhAIRhS1SFv609/fj3PnzrGwFCoY9MdXQt1IVLwUPtKWdqrzg4L4SNsDBw5IIm1LS0tZp7rdbofT6bS04qV2xKKiIt3Cm5SUJEkotNvtbG21tbXo7u6WNB7SwUBWfRaCKwhxFwgEowo+0tbr9Q7LQJcLRmZmpiQDnR+PywuvVRVvS0sLE968vDzN+0ZGRmLSpEmYNGkSgCud6rTy5SNtd+/ezTrVPR4PAP+E118CvRbOR9qqJRTSMcZWfRaCKwhxFwgEo5aQkBDFSFvqr29paWE/hw8fZpG2VOxtNhucTifCw8N9Cq9R+Gx1f4WX71SnkbZ0bXynOqWxsRE7d+5kk+XMajwcHBwMKOJVCXlC4enTp/GnP/0J8fHxSE1NNeU5BOoEJO5r1qzBT3/6U6xatQpr165Vvd++ffuwevVqnD59Gjk5OXj00UfxwAMPKN53+/bt+N73vodly5bhnXfeYbe73W7893//N7Zu3Qq73Y7s7Gx8//vfx5NPPmmKzUQgEIx+lCJt+S387u5uFmn78ccfsyo+OTkZ3d3dhjvVtTDL2sVH2s6fPx8ejwf19fW4cOECDh48CGBovceOHWORtnl5eWx2gK9OdS3q6+vh8XgQHx+PtLS0gNahBm2cLC0tFRGvQcCwuB87dgyvv/46Zs6cqXm/6upqLFmyBPfffz+2bNmCgwcPYuXKlUhPT8edd94puW9tbS0eeeQR3HTTTcMe5/nnn8f69evxu9/9DtOmTcPx48exfPlyJCYmYtWqVUaXIRAIvsTExsZixowZmDFjBou0pZVvTU0NXC4XgKFO/HXr1rFIWzpZTm+nuhputxt1dXUAzN9qDg0NRVFREbxeLw4ePIi4uDgsWbKEncjwnerl5eWSTvWSkhKkpaXpFlG6+2Cl8Ap/e3AxJO69vb24++67sWHDBjzzzDOa912/fj0KCgpYZV9WVobjx4/jxRdflIi7x+PB3Xffjaeeegr79+9HV1eX5HEOHz6MZcuWYenSpQCGrj1t27YNx48fN7IEgUAwxuAjbflOdX6mujzSNicnh1W+ap3qWtTV1cHtdlta8fI9A/JOdX7XQt6pHh8fL2k8jIuL8/kcVjW6Xb58mQ36Ec10wcGQuD/44INYunQpFi1a5FPcDx8+jFtvvVVy2+LFi7Fx40YMDg6ybbOnn34a6enp+OEPfyiZb0y58cYbsX79elRWVmLSpEn47LPPcODAAc3LAS6Xi525A0PNKwKBYHzAd6ovWLCAdapTMeQ71Q8ePCjpVC8pKUFmZqbPKjaYEa/yijcpKQlz587F3LlzWac6Pyiop6cHn332GT777DMAQEZGhqTxkHauO51OJrxWBt4AQ82PWicZAvPwW9y3b9+OTz/9FMeOHdN1f7vdjszMTMltmZmZcLvdaGtrQ3Z2Ng4ePIiNGzey7lclHnvsMTgcDkyZMgWhoaHweDx49tln8b3vfU/136xZswZPPfWUrtcpEAjGNvJOdT7zXN6pDgyFyfCVr9JoXKsrXqfTiebmZp/PwXeq33DDDRgcHJQMCmpubkZraytaW1tx5MgRduLDi3lGRoZlwmv1+yQYjl/iXl9fj1WrVmHXrl1+DYOQn9HSgAWbzYaenh7cc8892LBhg+a21o4dO7Blyxb84Q9/wLRp03Dy5Ek89NBDyMnJwX333af4b5544gmsXr2a/X93dzfy8/N1v26BQDB2iY+Px6xZszBr1izWqc5noDudTpw6dQqnTp0CAKSmpkpmqtNAGcD6ijcjIwPx8fG6/114eLhipC3tR3A4HKitrWUd8sBQx/yxY8dQWlqK5ORk03YigmFHFAzHL3GvqKhAa2srrrrqKnabx+NBeXk5Xn75ZbhcrmHdmllZWZJQBWCouSUsLAypqak4ffo0ampqcNttt7Hfe73eoRcXFoZz586htLQUP/nJT/D444/jrrvuAgDMmDEDtbW1WLNmjaq4R0ZGitQhgUDgE75TnUbaNjQ0MLFvbGxEe3s72tvbWac67bxPSkpCTEyMJa/LrCY0PtKWEMIGBVVVVbEY287OTuzcuRPAUDYAv2sRyPo6OjrgcDhYkqAgOPgl7gsXLpR4LgFg+fLlmDJlCh577DFFG8b8+fPx3nvvSW7btWsX5s2bh/DwcEyZMmXYYz755JPo6enBSy+9xCptp9M5zPIWGhrKTgQEAoHALEJDQ1FYWIjCwkJJpC2dvtbe3o6Ojg4AQ41tL7zwguR6PR9paxStyXeBYLPZWKRtcXEx/vnPfyIkJAQ33ngjG/vrcDhw4sQJnDhxAsBQkUZdBvn5+ZJBQb6ga8jPz2fX+QXW45e4x8fHY/r06ZLbYmNjkZqaym5/4okn0NjYiM2bNwMAHnjgAbz88stYvXo17r//fhw+fBgbN27Etm3bAAxFRcofMykpCQAkt99222149tlnUVBQgGnTpuHEiRP49a9/jR/84Af+rVggEAj8xN9IW9qpTmeq+7OlTuns7ERXVxdCQkJQWFho6nooVHgLCgpwyy23AAAGBgYkjYetra2w2+2w2+04dOgQwsLCUFBQwFwGWVlZmicywgI3Mpg+oa65uZn5PoGhBoqdO3fi4YcfxiuvvIKcnBysW7dumMfdF7/97W/xn//5n1i5ciVaW1uRk5ODf//3f8d//dd/mb0EgUAg0EQp0pafqS7vVE9PT5dcr9dTwQaj4lVqdIuIiMDEiRMxceJEAEPWZ/5Ehm9EpJG2/BY+Lc6AK/G3gBD3YGMjtLttHNDd3Y3ExEQ4HA4kJCSM9MsRCARjEDrYhu9U56Gd6rTyzcnJUZyy+cc//hFnz57FLbfcgptvvtn01+n1evHCCy/A5XJhxYoVugJpCCFoa2uTNB7SefGUlJQUJvQRERHYsmULoqKi8JOf/ERME+WwWo/EbHmBQCAwkbCwMMVOdSqIXV1drFOdRtrS7fuSkhKkpKRIIl6tqnibmprgcrkQFRWF7OxsXf/GZrMhPT0d6enpuPbaa+HxeIYNCuro6EBHR4dkwFhxcbEQ9iAjxF0gEAgshO9UB4a6x6kYVldXo7+/H//85z9Z13piYiIyMzPR39+PiIgI5OTkWPK6+C15o8JLO+ALCgpYpG1NTQ1bX1tbGwCxJT8SCHEXCASCIEI71efNm8e88lQM6+vr4XA44HA4AAw1t23YsIFV9QUFBX51qmthRaNbZGQkJk+ejMmTJ2NgYAC/+MUvQAgR4j4CCHEXCASCESIkJAS5ubnIzc3FTTfdhIGBAcn1+paWFkmnOq2UqdhnZ2cbstwNDAygvr4egHVVdW1tLQghSEpKsiSNT6CNEHeBQCAYJURERGDChAmYMGECgKFOdXq9vqqqCj09PaiurkZ1dTXrVOev1+sV0draWni9XkuFl47xtXLuvkAdIe4CgUAwSomLi5NE2ra3t0uu1/f19eHMmTM4c+YMgKHceir0WpG2/PV2q4RXWOBGFiHuAoFA8CXAZrMhLS0NaWlpkkhb6q9vaGhAZ2cnKioqUFFRwcJkqNjzkbZWz3rv6elBa2srABEWM1IIcRcIBIIvIXykLe1Ur62tZWLPR9oeOHAA4eHhKCwsRG5uruXCS6v27Oxsy+buC7QR4i4QCARjAHmkbXd3N9u+p5G2Fy5cwIULFwAMnRz8/e9/Z5W9mYNUxMjZkUeIu0AgEIxBEhISMHv2bMyePRuEELS2trLr9bW1tRgcHMQXX3zBgrvS0tLY1LyioiLDiZqEEEkznWBkEOIuEAgEYxybzYbMzExkZmZi/vz58Hg8qK+vZ2Lf1NSEtrY2tLW1sUjbvLw8VtXn5uYqpn4q0dbWht7eXhYwIxgZhLgLBALBOCM0NBRFRUUoKirCV7/6VfT19Ukmy3V0dKC+vh719fXYt28fIiIiUFRUxMQ+LS1NtcueVu0FBQWsgU8QfMQ7LxAIBOOc6OholJWVoaysDMBQRj2fBNfX14fKykpUVlYCuBJpS3/i4uLYYwkL3OhAiLtAIBAIJCQlJWHu3LmYO3cuCCGw2+2S6/XySNuMjAwWZyvEfXQwrsSdptt2d3eP8CsRCASCLw+xsbFsmM7g4CAaGhpQU1ODmpoa2O121NXVoa6ujt0/JiYGMTEx4lirAX1vrEpdH1d57g0NDcjPzx/plyEQCAQCAQCgvr4eeXl5pj/uuBJ3r9eLpqYmxMfHS5pBuru7kZ+fj/r6elO9nqMNsc6xxXhZJzB+1irWObbQWichBD09PcjJybEk635cbcuHhIRoniElJCSM6S8aRaxzbDFe1gmMn7WKdY4t1NaZmJho2XOaf7ogEAgEAoFgRBHiLhAIBALBGEOIO4ZmMv/85z83PG7xy4JY59hivKwTGD9rFescW4zkOsdVQ51AIBAIBOMBUbkLBAKBQDDGEOIuEAgEAsEYQ4i7QCAQCARjDCHuAoFAIBCMMb7U4l5UVASbzTbs58EHH1T9Ny6XCz/72c9QWFiIyMhIlJaW4o033mC/HxwcxNNPP43S0lJERUVh1qxZ+Pvf/z7scRobG3HPPfcgNTUVMTExmD17NioqKsbUOt1uN5588kkUFxcjOjoaJSUlePrpp+H1ekfFOr///e8r3n/atGmS+7399tuYOnUqIiMjMXXqVPzlL38Z9livvvoqiouLERUVhauuugr79++3ZI2UkVrrmjVrcPXVVyM+Ph4ZGRm4/fbbce7cuTG3Tp41a9bAZrPhoYceMnNpEkZynaP5WGTWOsfCsej06dO488472WOvXbtW8bFMOxaRLzGtra2kubmZ/ezevZsAIHv27FH9N9/61rfItddeS3bv3k2qq6vJJ598Qg4ePMh+/+ijj5KcnBzywQcfkKqqKvLqq6+SqKgo8umnn7L7dHR0kMLCQvL973+ffPLJJ6S6upp89NFH5MKFC2Nqnc888wxJTU0l77//PqmuriZvvfUWiYuLI2vXrh0V6+zq6pLcv76+nqSkpJCf//zn7D6HDh0ioaGh5LnnniNnz54lzz33HAkLCyNHjhxh99m+fTsJDw8nGzZsIGfOnCGrVq0isbGxpLa21pJ1juRaFy9eTN58801y6tQpcvLkSbJ06VJSUFBAent7x9Q6KUePHiVFRUVk5syZZNWqVZaskZCRW+doPxaZtc6xcCw6evQoeeSRR8i2bdtIVlYW+c1vfjPsccw8Fn2pxV3OqlWrSGlpKfF6vYq//9vf/kYSExNJe3u76mNkZ2eTl19+WXLbsmXLyN13383+/7HHHiM33nijOS/aAMFa59KlS8kPfvADyX3+5V/+hdxzzz0BvHr9+FqnnL/85S/EZrORmpoadtt3v/td8vWvf11yv8WLF5O77rqL/f8111xDHnjgAcl9pkyZQh5//PEAXr1/BGutclpbWwkAsm/fPmMv3E+Cuc6enh4yceJEsnv3brJgwQJLxV1OsNY52o9Fcoyucywci3gKCwsVxd3MY9GXelueZ2BgAFu2bMEPfvADSSgMz7vvvot58+bhhRdeQG5uLiZNmoRHHnkEfX197D4ulwtRUVGSfxcdHY0DBw4Me5zvfOc7yMjIwJw5c7BhwwZrFiYjmOu88cYb8Y9//AOVlZUAgM8++wwHDhzAkiVLLFiZFD3rlLNx40YsWrQIhYWF7LbDhw/j1ltvldxv8eLFOHToEHueioqKYfe59dZb2X2sJlhrVcLhcAAAUlJSDLxy/wj2Oh988EEsXboUixYtCvzF+0Ew1znaj0VyjK5zLByL9DyPqcciv08HRik7duwgoaGhpLGxUfU+ixcvJpGRkWTp0qXkk08+IR988AEpLCwky5cvZ/f53ve+R6ZOnUoqKyuJx+Mhu3btItHR0SQi/kv4eAAACJVJREFUIoLdJzIykkRGRpInnniCfPrpp2T9+vUkKiqK/O53v7N0jYQEd51er5c8/vjjxGazkbCwMGKz2chzzz1n6fooetbJ09TUREJDQ8mOHTskt4eHh5OtW7dKbtu6dStbZ2NjIwEguWRBCCHPPvssmTRpUgAr0E+w1irH6/WS2267LWiVXzDXuW3bNjJ9+nTS19dHCCFBrdyDuc7RfiziCWSdY+FYxKNUuZt9LBoz4n7rrbeSb37zm5r3+drXvkaioqJIV1cXu+3tt98mNpuNOJ1OQsjQNuWyZctISEgICQ0NJZMmTSIrV64k0dHR7N+Eh4eT+fPnSx77xz/+MbnuuutMXJEywVzntm3bSF5eHtm2bRv5/PPPyebNm0lKSgrZtGmTNYvj0LNOnueee46kpqYSl8sluT08PJz84Q9/kNy2ZcsWEhkZSQi58gd16NAhyX2eeeYZMnnyZIOv3j+CtVY5K1euJIWFhaS+vt7/F22AYK2zrq6OZGRkkJMnT7LfB1Pcg/l5jvZjEU8g6xwLxyIeLXE361g0Jrbla2tr8dFHH2HFihWa98vOzkZubq4kZq+srAyEEDQ0NAAA0tPT8c477+Dy5cuora3FP//5T8TFxaG4uFjyOFOnTpU8dllZGerq6kxc1XCCvc6f/OQnePzxx3HXXXdhxowZuPfee/Hwww9jzZo11izw/6N3nRRCCN544w3ce++9iIiIkPwuKysLdrtdcltraysyMzMBAGlpaQgNDdW8j5UEc608P/7xj/Huu+9iz549mjHIZhHMdVZUVKC1tRVXXXUVwsLCEBYWhn379mHdunUICwuDx+MxZ1EKBPvzHO3HIkqg6xwLxyJfmH0sGhPi/uabbyIjIwNLly7VvN8NN9yApqYm9Pb2stsqKysVc96joqKQm5sLt9uNt99+G8uWLZM8jtw+VFlZ6df1FSMEe51OpxMhIdKvSGhoqGX2E4redVL27duHCxcu4Ic//OGw382fPx+7d++W3LZr1y5cf/31AICIiAhcddVVw+6ze/dudh8rCeZagaGDz3/8x3/gz3/+Mz7++GPJyZyVBHOdCxcuxBdffIGTJ0+yn3nz5uHuu+/GyZMnERoaGviCVAj25znaj0WUQNc5Fo5FvjD9WOR3rT/K8Hg8pKCggDz22GPDfvf444+Te++9l/1/T08PycvLI9/+9rfJ6dOnyb59+8jEiRPJihUr2H2OHDlC3n77bVJVVUXKy8vJV7/6VVJcXEw6OzvZfY4ePUrCwsLIs88+S86fP0+2bt1KYmJiyJYtW8bUOu+77z6Sm5vL7Cd//vOfSVpaGnn00UdHxTop99xzD7n22msVH+/gwYMkNDSU/OIXvyBnz54lv/jFL1StcBs3biRnzpwhDz30EImNjVXtdDWLkVjrj370I5KYmEj27t0rse7QyzVWMBLrlBOMbfmRWOdoPxZRAl3nWDgWuVwucuLECXLixAmSnZ1NHnnkEXLixAly/vx5dh8zj0VfenH/8MMPCQBy7ty5Yb+77777yIIFCyS3nT17lixatIhER0eTvLw8snr1asmBbe/evaSsrIxERkaS1NRUcu+99yo2Urz33ntk+vTpJDIykkyZMoW8/vrrpq+NZyTW2d3dTVatWkUKCgpIVFQUKSkpIT/72c80ryUFir/r7OrqItHR0Zrv/1tvvUUmT55MwsPDyZQpU8jbb7897D6vvPIKKSwsJBEREWTu3LlBsYaNxFoBKP68+eabZixJkZH6THmCIe4jtc7RfiwyY51j4VhUXV2t+LcnfxyzjkUi8lUgEAgEgjHGmLjmLhAIBAKB4ApC3AUCgUAgGGMIcRcIBAKBYIwhxF0gEAgEgjGGEHeBQCAQCMYYQtwFAoFAIBhjCHEXCAQCgWCMIcRdIBAIBIIxhhB3gUAgEAhklJeX47bbbkNOTg5sNhveeecdvx+DEIIXX3wRkyZNQmRkJPLz8/Hcc8+Z/2IVCAvKswgEAoFA8CXi8uXLmDVrFpYvX44777zT0GOsWrUKu3btwosvvogZM2bA4XCgra3N5FeqjBg/KxAIBAKBBjabDX/5y19w++23s9sGBgbw5JNPYuvWrejq6sL06dPx/PPP4ytf+QoA4OzZs5g5cyZOnTqFyZMnB/01i215gUAgEAj8ZPny5Th48CC2b9+Ozz//HN/5znfw9a9/HefPnwcAvPfeeygpKcH777+P4uJiFBUVYcWKFejo6AjK6xPiLhAIBAKBH1RVVWHbtm146623cNNNN6G0tBSPPPIIbrzxRrz55psAgIsXL6K2thZvvfUWNm/ejE2bNqGiogLf/va3g/IaxTV3gUAgEAj84NNPPwUhBJMmTZLc7nK5kJqaCgDwer1wuVzYvHkzu9/GjRtx1VVX4dy5c5Zv1QtxFwgEAoHAD7xeL0JDQ1FRUYHQ0FDJ7+Li4gAA2dnZCAsLk5wAlJWVAQDq6uqEuAsEAoFAMJqYM2cOPB4PWltbcdNNNyne54YbboDb7UZVVRVKS0sBAJWVlQCAwsJCy1+j6JYXCAQCgUBGb28vLly4AGBIzH/961/jlltuQUpKCgoKCnDPPffg4MGD+NWvfoU5c+agra0NH3/8MWbMmIElS5bA6/Xi6quvRlxcHNauXQuv14sHH3wQCQkJ2LVrl+WvX4i7QCAQCAQy9u7di1tuuWXY7ffddx82bdqEwcFBPPPMM9i8eTMaGxuRmpqK+fPn46mnnsKMGTMAAE1NTfjxj3+MXbt2ITY2Ft/4xjfwq1/9CikpKZa/fiHuAoFAIBCMMYQVTiAQCASCMYYQd4FAIBAIxhhC3AUCgUAgGGMIcRcIBAKBYIwhxF0gEAgEgjGGEHeBQCAQCMYYQtwFAoFAIBhjCHEXCAQCgWCMIcRdIBAIBIIxhhB3gUAgEAjGGELcBQKBQCAYY/w/6wO7MtzKIdUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conv = 3.28084\n",
    "mg2 = flopy.discretization.StructuredGrid(\n",
    "    modelgrid.delc * conv,\n",
    "    modelgrid.delr * conv,\n",
    "    modelgrid.top * conv,\n",
    "    modelgrid.botm * conv,\n",
    "    modelgrid.idomain,\n",
    "    xoff=xoff * conv,\n",
    "    yoff=yoff * conv,\n",
    "    angrot=angrot\n",
    ")\n",
    "print(mg2)\n",
    "mg2.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "474d307a",
   "metadata": {},
   "source": [
    "### Finding a cell's nearest neighbors\n",
    "\n",
    "Imagine that we want to find the nearest neighbors of a cell for some reason. The modelgrid has a built in method to 1) internally construct a table of nearest neighbors and 2) return the nearest neighbors for a given cell to the user."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9b7fd96b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 0, 4), (0, 0, 6), (0, 1, 5)]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cell = (0, 0, 5)\n",
    "\n",
    "neighbors = modelgrid.neighbors(*cell)\n",
    "neighbors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5047684b",
   "metadata": {},
   "source": [
    "### Finding grid cells by point location\n",
    "\n",
    "If we want to find a cell number based on x, y coordinate location the model grid has a built in `.intersect()` method that takes `x`, `y`, and an optional `z` coordinate and returns the cell number "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6426d2bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'rowcol=(13, 8), layrowcol=(0, 13, 8)'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x, y, z = 2348000, 1235000, 25\n",
    "\n",
    "rowcol = modelgrid.intersect(x, y) # without z\n",
    "layrowcol = modelgrid.intersect(x, y, z) # with z location\n",
    "\n",
    "f\"{rowcol=}, {layrowcol=}\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8389b845",
   "metadata": {},
   "source": [
    "## Vertex model grid\n",
    "\n",
    "The vertex model grid is produced for MODFLOW model discretizations that are defined by vertices (`DISV`). We can build a quadtree vertex grid from an exiting structured modelgrid using the gridgen utility and the `Gridgen` class."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1791cc4a",
   "metadata": {},
   "source": [
    "First let's unrotate the grid coordinates of our structured grid to make this easy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "50642957",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "modelgrid.set_coord_info(angrot=0)\n",
    "modelgrid.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d4cd2c4",
   "metadata": {},
   "source": [
    "Lets load a couple of shapefiles to help with creating the quadtree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "70fc1ed9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "active_shp = data_path / \"active_area.shp\"\n",
    "refine_shp = data_path / \"refined_area.shp\"\n",
    "\n",
    "active = gpd.read_file(active_shp)\n",
    "refined = gpd.read_file(refine_shp)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c85d598",
   "metadata": {},
   "source": [
    "Now let's plot these areas on the grid to visualize them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5ed44ddb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid)\n",
    "pmv.plot_grid()\n",
    "# active.geometry.to_list()\n",
    "pmv.plot_shapes(active.geometry.to_list(),  alpha=0.5, cmap='plasma')\n",
    "pmv.plot_shapes(refined.geometry.to_list(), alpha=0.5, cmap='magma');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c747c5bc",
   "metadata": {},
   "source": [
    "### Generate the quadtree grid using `Gridgen`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d5d43d7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "g = Gridgen(modelgrid, model_ws=data_path)\n",
    "g.add_refinement_features(refined.geometry.to_list(), \"polygon\", 1, [0,])\n",
    "g.build(verbose=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0998989",
   "metadata": {},
   "source": [
    "#### Create a vertex model grid from the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a3ed5439",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gridprops = g.get_gridprops_vertexgrid()\n",
    "vertexgrid = flopy.discretization.VertexGrid(**gridprops)\n",
    "vertexgrid.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a7cce38",
   "metadata": {},
   "source": [
    "### Getting the modelgrid's shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7a02615f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 510)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shape = vertexgrid.shape\n",
    "shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49458e73",
   "metadata": {},
   "source": [
    "## Class Exercise 2: \n",
    "\n",
    "Find and plot all of the nearest neighbors at node 79 on the vertex modelgrid.\n",
    "\n",
    "**Hint**: Use `flopy.plot.PlotMapView` for your plotting, and plot a boolean (1, 0) array with the cells that are not neighbors masked out.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fad34d11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "neighbors = vertexgrid.neighbors(80)\n",
    "arr = np.zeros((vertexgrid.shape[-1]), dtype=int)\n",
    "arr[neighbors] = 1\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "pmv = flopy.plot.PlotMapView(ax=ax, modelgrid=vertexgrid)\n",
    "pmv.plot_grid(zorder=3)\n",
    "pmv.plot_array(arr, masked_values=[0,]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0426f4ab",
   "metadata": {},
   "source": [
    "## UnstructuredGrid\n",
    "\n",
    "The `UnstructuredGrid` class is used with MODFLOW-USG and MODFLOW-6 DISU type discretizations. We can also create an `UnstructuredGrid` object from the `Gridgen` results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b6571b07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(xll:0.0; yll:0.0; rotation:0.0; units:undefined; lenuni:0,\n",
       " flopy.discretization.unstructuredgrid.UnstructuredGrid)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gridprops = g.get_gridprops_unstructuredgrid()\n",
    "\n",
    "ugrid = flopy.discretization.UnstructuredGrid(**gridprops)\n",
    "ugrid, type(ugrid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "afe46f93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ugrid.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5575ecf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "neighbors = ugrid.neighbors(79)\n",
    "arr = np.zeros(ugrid.shape, dtype=int)\n",
    "arr[neighbors] = 1\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "pmv = flopy.plot.PlotMapView(ax=ax, modelgrid=ugrid)\n",
    "pmv.plot_grid()\n",
    "pmv.plot_array(arr, masked_values=[0,]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32fb78b6",
   "metadata": {},
   "source": [
    "## Intersecting geospatial data\n",
    "\n",
    "In this part of the lesson we will intersect geospatial data with a modelgrid and begin building a simple adaptation of the Sagehen Creek model, near Truckee, CA. While building this model, we'll work with shapefile and raster data. As we build the model FloPy's intersection capabilities will be presented.\n",
    "\n",
    "Let's start by getting the basin boundary. For the Sagehen Creek model, we're interested in the contributing area for [USGS gage 10343500](https://waterdata.usgs.gov/ca/nwis/uv/?site_no=10343500&PARAmeter_cd=00065,00060) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "014f4da6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/pandas/core/frame.py:706: DeprecationWarning: Passing a BlockManager to GeoDataFrame is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  warnings.warn(\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>identifier</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10343500</th>\n",
       "      <td>POLYGON ((-120.25104 39.40471, -120.25613 39.4...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     geometry\n",
       "identifier                                                   \n",
       "10343500    POLYGON ((-120.25104 39.40471, -120.25613 39.4..."
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "station_id = \"10343500\"\n",
    "basin = gpd.read_file(data_path / \"sagehen_basin.shp\")\n",
    "basin = basin.set_index(\"identifier\")\n",
    "basin"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "428b1d96",
   "metadata": {},
   "source": [
    "First thing that we notice is that the basin polygon is projected in decimal degrees, which is not good for modeling. An equal area projection would be better suited for this application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f0c0b47b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/pandas/core/frame.py:706: DeprecationWarning: Passing a BlockManager to GeoDataFrame is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  warnings.warn(\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>identifier</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10343500</th>\n",
       "      <td>POLYGON ((220068.760 4366733.474, 219647.520 4...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     geometry\n",
       "identifier                                                   \n",
       "10343500    POLYGON ((220068.760 4366733.474, 219647.520 4..."
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "epsg = 26911  # NAD83 utm zone 11 N, epsg: 26911\n",
    "basin = basin.to_crs(epsg=epsg)\n",
    "basin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1a4b2134",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/pandas/core/frame.py:706: DeprecationWarning: Passing a BlockManager to GeoDataFrame is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  warnings.warn(\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basin.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30620402",
   "metadata": {},
   "source": [
    "We can now get our basin's bounding box using `.bounds`, buffer it, and then begin creating a modelgrid based on the basin boundary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "26693e3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     minx          miny           maxx          maxy\n",
      "identifier                                                          \n",
      "10343500    214358.622076  4.366733e+06  221497.557955  4.373287e+06\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "cellsize = 90  # 90 m grid\n",
    "bounds = basin.bounds\n",
    "print(bounds)\n",
    "xmin = bounds.loc[station_id, \"minx\"] - (cellsize * 1)\n",
    "ymin = bounds.loc[station_id, \"miny\"] - (cellsize * 1)\n",
    "xmax = bounds.loc[station_id, \"maxx\"] + (cellsize * 1)\n",
    "ymax = bounds.loc[station_id, \"maxy\"] + (cellsize * 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88e9ff72",
   "metadata": {},
   "source": [
    "Calculate the number of rows and columns the model will have and then create a delc and delr array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e7de4cad",
   "metadata": {},
   "outputs": [],
   "source": [
    "dx = xmax - xmin\n",
    "dy = ymax - ymin\n",
    "\n",
    "nlay = 1\n",
    "nrow = np.ceil(dy / cellsize).astype(int)\n",
    "ncol = np.ceil(dx / cellsize).astype(int)\n",
    "delr = np.full((ncol,), cellsize)\n",
    "delc = np.full((nrow,), cellsize)\n",
    "\n",
    "# let's create a fake top and bottom for now\n",
    "top = np.full((nrow, ncol), 100)\n",
    "botm = np.full((nlay, nrow, ncol), 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dd72559",
   "metadata": {},
   "source": [
    "Now we can create a minimal modelgrid from the information we have"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c796e3f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xll:214268.62207605224; yll:4366643.474127463; rotation:0.0; crs:EPSG:26911; units:undefined; lenuni:0\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "modelgrid = flopy.discretization.StructuredGrid(\n",
    "    delc,\n",
    "    delr,\n",
    "    top=top,\n",
    "    botm=botm,\n",
    "    nlay=nlay,\n",
    "    xoff=xmin,\n",
    "    yoff=ymin,\n",
    "    crs=epsg\n",
    ")\n",
    "print(modelgrid)\n",
    "print(modelgrid.is_complete)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f98ef0fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/pandas/core/frame.py:706: DeprecationWarning: Passing a BlockManager to GeoDataFrame is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  warnings.warn(\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "ax = basin.plot(ax=ax)\n",
    "modelgrid.plot(ax=ax, lw=0.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a96c0b8",
   "metadata": {},
   "source": [
    "Fantastic! The modelgrid has been created and it completely overlays the contributing area."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12e0691f",
   "metadata": {},
   "source": [
    "### Intersecting a polygon with the modelgrid\n",
    "\n",
    "FloPy has a utility named `GridIntersect` that allows the user to intersect points, polygons, and polylines with modelgrid objects. \n",
    "\n",
    "In this example, the basin boundary will be intersected with the modelgrid to create the active and inactive extents of the model. The `.intersect()` method returns a numpy recarry with cellids, vertices, cell areas, and shapely polygon objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a8c64285",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([(1, 52), (1, 53), (1, 54), ..., (73, 64), (73, 65), (73, 66)],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gx = GridIntersect(modelgrid)\n",
    "\n",
    "result = gx.intersect(basin.loc[station_id, \"geometry\"])\n",
    "result.cellids"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "178b1022",
   "metadata": {},
   "source": [
    "create the ibound/idomain array (active and inactive model cells)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "b9a4efb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x1727f20d0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ibound = np.zeros((nlay, nrow, ncol))\n",
    "i, j = zip(*result.cellids)\n",
    "ibound[:, i, j] = 1\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid, ax=ax)\n",
    "pmv.plot_grid(lw=0.5)\n",
    "pmv.plot_array(ibound, masked_values=[0], cmap=\"viridis\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71cde52d",
   "metadata": {},
   "source": [
    "### Intersecting raster data with a modelgrid\n",
    "\n",
    "FloPy's `Raster` class allows us to intersect and resample raster data to the model grid. This class is useful for resampling a number of gridded products such as: Digital Elevation Model data, land cover data, and gridded climate data.\n",
    "\n",
    "The first example of using the `Raster` class will be to resample Digital Elevation Model (DEM) data to define the land surface of the Sagehen model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9be5182b",
   "metadata": {},
   "outputs": [],
   "source": [
    "dem_file = data_path / \"dem_30m.img\"\n",
    "\n",
    "raster = Raster.load(dem_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b09c2786",
   "metadata": {},
   "source": [
    "#### Now that the raster is loaded we can resample it\n",
    "\n",
    "The `resample_to_grid()` method performs geostatistics and returns an array in the shape of the modelgrid. Options for resampling include `\"nearest\"`, `\"linear\"` (bilinear), `\"cubic\"` (bicubic), `\"max\"`, `\"min\"`, `\"mean\"`, `\"median\"`, and `\"mode\"` (most common value)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3e6057f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2288.88427734, 2273.79296875, 2263.59692383, ..., 2035.27868652,\n",
       "        2020.77258301, 2011.82592773],\n",
       "       [2308.66918945, 2301.82080078, 2284.20483398, ..., 2037.7668457 ,\n",
       "        2022.42944336, 2011.48937988],\n",
       "       [2326.71118164, 2321.3112793 , 2301.70703125, ..., 2042.32263184,\n",
       "        2025.94592285, 2015.38793945],\n",
       "       ...,\n",
       "       [2207.31152344, 2229.87426758, 2239.453125  , ..., 2112.20751953,\n",
       "        2095.49414062, 2073.16308594],\n",
       "       [2176.74121094, 2186.13769531, 2201.04858398, ..., 2095.2331543 ,\n",
       "        2074.06396484, 2051.18530273],\n",
       "       [2156.98022461, 2157.87744141, 2164.14770508, ..., 2077.35131836,\n",
       "        2053.95043945, 2035.44116211]])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's get the nearest neighbor elevations\n",
    "dem_data = raster.resample_to_grid(\n",
    "    modelgrid,\n",
    "    band=raster.bands[0],\n",
    "    method=\"nearest\"\n",
    ")\n",
    "dem_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ec16505d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now let's plot it up and see what we have\n",
    "fig, ax = plt.subplots(figsize=(10, 8)) \n",
    "pmv = flopy.plot.PlotMapView(ax=ax, modelgrid=modelgrid)\n",
    "\n",
    "pmv.plot_grid(lw=0.5, zorder=3)\n",
    "pc = pmv.plot_array(dem_data, alpha=0.75, zorder=1, cmap=\"viridis\")\n",
    "pmv.plot_array(ibound, masked_values=[1], cmap=\"magma\", zorder=2)\n",
    "plt.colorbar(pc, shrink=0.7);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "370b8b15",
   "metadata": {},
   "source": [
    "### Start creating model files from the data we've gathered so far.\n",
    "\n",
    "At this point we have almost everything we need to begin creating a model discretization package. The only thing left to calculate is the model bottom. Let's assume bedrock 150 m below land surface throughout the basin and begin creating our model. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc084602",
   "metadata": {},
   "source": [
    "We'll first start by creating our simulation object and adding a solver and the time discretization. This model will be a year long with 12 stress periods and a daily time step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a68ba62a",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = flopy.mf6.MFSimulation(\"sagehen\", sim_ws=data_path)\n",
    "ims = flopy.mf6.ModflowIms(sim, complexity=\"COMPLEX\")\n",
    "nper = 12\n",
    "perlen = (31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)\n",
    "period_data = [(i, i, 1.0) for i in perlen]\n",
    "tdis = flopy.mf6.ModflowTdis(\n",
    "    sim,\n",
    "    nper=12,\n",
    "    perioddata=period_data,\n",
    "    time_units=\"days\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5c0ba6b",
   "metadata": {},
   "source": [
    "Now to create the Groundwater flow model object and add the dis file to it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0953b65d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name = sagehen\n",
       "model_type = gwf6\n",
       "version = mf6\n",
       "model_relative_path = .\n",
       "\n",
       "###################\n",
       "Package dis\n",
       "###################\n",
       "\n",
       "package_name = dis\n",
       "filename = sagehen.dis\n",
       "package_type = dis\n",
       "model_or_simulation_package = model\n",
       "model_name = sagehen\n",
       "\n"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwf = flopy.mf6.ModflowGwf(\n",
    "    sim,\n",
    "    modelname='sagehen',\n",
    "    save_flows=True,\n",
    ")\n",
    "\n",
    "# add the dis package\n",
    "botm = np.expand_dims(dem_data, axis=0) - 200\n",
    "dis = flopy.mf6.ModflowGwfdis(\n",
    "    gwf,\n",
    "    nrow=modelgrid.nrow,\n",
    "    ncol=modelgrid.ncol,\n",
    "    delr=modelgrid.delr,\n",
    "    delc=modelgrid.delc,\n",
    "    top=dem_data,\n",
    "    botm=botm,\n",
    "    idomain=ibound\n",
    ")\n",
    "\n",
    "gwf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34d64a8f",
   "metadata": {},
   "source": [
    "We can also add an initial conditions file to the model. Let's assume water level begins at 5 meters below land surface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "29159be8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name = sagehen\n",
       "model_type = gwf6\n",
       "version = mf6\n",
       "model_relative_path = .\n",
       "\n",
       "###################\n",
       "Package dis\n",
       "###################\n",
       "\n",
       "package_name = dis\n",
       "filename = sagehen.dis\n",
       "package_type = dis\n",
       "model_or_simulation_package = model\n",
       "model_name = sagehen\n",
       "\n",
       "\n",
       "###################\n",
       "Package ic\n",
       "###################\n",
       "\n",
       "package_name = ic\n",
       "filename = sagehen.ic\n",
       "package_type = ic\n",
       "model_or_simulation_package = model\n",
       "model_name = sagehen\n",
       "\n"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ic = flopy.mf6.ModflowGwfic(gwf, strt=dem_data - 5)\n",
    "gwf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35bfb1ca",
   "metadata": {},
   "source": [
    "And we can create our NPF and STO packages using values from literature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "d44c69ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "npf = flopy.mf6.ModflowGwfnpf(\n",
    "    gwf,\n",
    "    save_flows=True,\n",
    "    save_specific_discharge=True,\n",
    "    k=0.022  # value from Larsen et al, 2022\n",
    ")\n",
    "\n",
    "sto = flopy.mf6.ModflowGwfsto(\n",
    "    gwf,\n",
    "    save_flows=True,\n",
    "    iconvert=1,\n",
    "    ss=1e-07,  # values from Larsen et al, 2022\n",
    "    sy=0.2\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eae7944a",
   "metadata": {},
   "source": [
    "We can also add a OC package now"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4385aa9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# build output control package\n",
    "budget_file = \"sagehen.cbc\"\n",
    "head_file = \"sagehen.hds\"\n",
    "saverecord = {i: [(\"HEAD\", \"ALL\"), (\"BUDGET\", \"ALL\")] for i in range(gwf.nper)}\n",
    "oc = flopy.mf6.ModflowGwfoc(\n",
    "    gwf,\n",
    "    budget_filerecord=budget_file,\n",
    "    head_filerecord=head_file,\n",
    "    saverecord=saverecord,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c06684d",
   "metadata": {},
   "source": [
    "## Class Exercise: Loading and resampling rasters\n",
    "\n",
    "For this exercise we are loading and resampling monthly Daymet climate data for Sagehen basin.\n",
    "\n",
    "Load the potential evapotranspiration raster `pet_raster` using flopy's `Raster` class and create a dictionary of resampled PET that stores all 12 months of values.\n",
    "\n",
    "**Hints:**\n",
    "\n",
    "   - Rasters contain multiple datasets called bands, the `Raster` class has a `.bands` attribute that returns a list of all of the bands within the raster. Lists can be looped over!\n",
    "   - Because the data is coarse compared to our model discretization, the nearest neighbor method should be appropriate for resampling `method=\"nearest\"`\n",
    "   - Finally no data values should be converted to 0 value. The `Raster` class has a `.nodatavals` attribute that returns a list of no data values. There is only one in this list; use numpy's boolean indexing or `np.where()` to replace all of the no data entries with 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e97525f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "pet_raster = data_path / \"pet.tif\"\n",
    "prcp_raster = data_path / \"prcp.tif\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7ab932b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "rstr = flopy.utils.Raster.load(pet_raster)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f1a37fe4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: array([[0.89827865, 0.89827865, 0.89827865, ..., 1.00581992, 1.00581992,\n",
       "         1.00581992],\n",
       "        [0.89827865, 0.89827865, 0.89827865, ..., 1.00581992, 1.00581992,\n",
       "         1.00581992],\n",
       "        [0.89827865, 0.89827865, 0.89827865, ..., 1.00581992, 1.00581992,\n",
       "         1.00581992],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.01081669, 1.01081669,\n",
       "         1.01081669],\n",
       "        [0.        , 0.        , 0.        , ..., 1.01081669, 1.01081669,\n",
       "         1.01081669],\n",
       "        [0.        , 0.        , 0.        , ..., 1.01081669, 1.01081669,\n",
       "         1.01081669]]),\n",
       " 1: array([[1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
       "         1.42294502],\n",
       "        [1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
       "         1.42294502],\n",
       "        [1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
       "         1.42294502],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.4494915 , 1.4494915 ,\n",
       "         1.4494915 ],\n",
       "        [0.        , 0.        , 0.        , ..., 1.4494915 , 1.4494915 ,\n",
       "         1.4494915 ],\n",
       "        [0.        , 0.        , 0.        , ..., 1.4494915 , 1.4494915 ,\n",
       "         1.4494915 ]]),\n",
       " 2: array([[1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
       "         2.01319814],\n",
       "        [1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
       "         2.01319814],\n",
       "        [1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
       "         2.01319814],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 2.06212258, 2.06212258,\n",
       "         2.06212258],\n",
       "        [0.        , 0.        , 0.        , ..., 2.06212258, 2.06212258,\n",
       "         2.06212258],\n",
       "        [0.        , 0.        , 0.        , ..., 2.06212258, 2.06212258,\n",
       "         2.06212258]]),\n",
       " 3: array([[3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        [3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        [3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 3.41348195, 3.41348195,\n",
       "         3.41348195],\n",
       "        [0.        , 0.        , 0.        , ..., 3.41348195, 3.41348195,\n",
       "         3.41348195],\n",
       "        [0.        , 0.        , 0.        , ..., 3.41348195, 3.41348195,\n",
       "         3.41348195]]),\n",
       " 4: array([[3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        [3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        [3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ]]),\n",
       " 5: array([[4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        [4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        [4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992],\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992],\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992]]),\n",
       " 6: array([[5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138],\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138],\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138]]),\n",
       " 7: array([[4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499]]),\n",
       " 8: array([[3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        [3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        [3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512]]),\n",
       " 9: array([[1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676]]),\n",
       " 10: array([[1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856],\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856],\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856]]),\n",
       " 11: array([[0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ]])}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pet_monthly = {}\n",
    "for band in rstr.bands:\n",
    "    t = rstr.resample_to_grid(\n",
    "        modelgrid,\n",
    "        band,\n",
    "        method=\"nearest\"\n",
    "    )\n",
    "    t[t == rstr.nodatavals[0]] = 0\n",
    "    pet_monthly[band - 1] = t\n",
    "\n",
    "pet_monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6638822",
   "metadata": {},
   "source": [
    "Let's load the saved version of this data, it should be identical to the data that was produced in the exercise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7469763b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: array([[0.89827865, 0.89827865, 0.89827865, ..., 1.00581992, 1.00581992,\n",
       "         1.00581992],\n",
       "        [0.89827865, 0.89827865, 0.89827865, ..., 1.00581992, 1.00581992,\n",
       "         1.00581992],\n",
       "        [0.89827865, 0.89827865, 0.89827865, ..., 1.00581992, 1.00581992,\n",
       "         1.00581992],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.01081669, 1.01081669,\n",
       "         1.01081669],\n",
       "        [0.        , 0.        , 0.        , ..., 1.01081669, 1.01081669,\n",
       "         1.01081669],\n",
       "        [0.        , 0.        , 0.        , ..., 1.01081669, 1.01081669,\n",
       "         1.01081669]]),\n",
       " 1: array([[1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
       "         1.42294502],\n",
       "        [1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
       "         1.42294502],\n",
       "        [1.31099296, 1.31099296, 1.31099296, ..., 1.42294502, 1.42294502,\n",
       "         1.42294502],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.4494915 , 1.4494915 ,\n",
       "         1.4494915 ],\n",
       "        [0.        , 0.        , 0.        , ..., 1.4494915 , 1.4494915 ,\n",
       "         1.4494915 ],\n",
       "        [0.        , 0.        , 0.        , ..., 1.4494915 , 1.4494915 ,\n",
       "         1.4494915 ]]),\n",
       " 2: array([[1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
       "         2.01319814],\n",
       "        [1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
       "         2.01319814],\n",
       "        [1.88199592, 1.88199592, 1.88199592, ..., 2.01319814, 2.01319814,\n",
       "         2.01319814],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 2.06212258, 2.06212258,\n",
       "         2.06212258],\n",
       "        [0.        , 0.        , 0.        , ..., 2.06212258, 2.06212258,\n",
       "         2.06212258],\n",
       "        [0.        , 0.        , 0.        , ..., 2.06212258, 2.06212258,\n",
       "         2.06212258]]),\n",
       " 3: array([[3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        [3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        [3.14511275, 3.14511275, 3.14511275, ..., 3.33968782, 3.33968782,\n",
       "         3.33968782],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 3.41348195, 3.41348195,\n",
       "         3.41348195],\n",
       "        [0.        , 0.        , 0.        , ..., 3.41348195, 3.41348195,\n",
       "         3.41348195],\n",
       "        [0.        , 0.        , 0.        , ..., 3.41348195, 3.41348195,\n",
       "         3.41348195]]),\n",
       " 4: array([[3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        [3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        [3.94825053, 3.94825053, 3.94825053, ..., 4.04690742, 4.04690742,\n",
       "         4.04690742],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.1060009 , 4.1060009 ,\n",
       "         4.1060009 ]]),\n",
       " 5: array([[4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        [4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        [4.99552679, 4.99552679, 4.99552679, ..., 5.388381  , 5.388381  ,\n",
       "         5.388381  ],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992],\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992],\n",
       "        [0.        , 0.        , 0.        , ..., 5.34579992, 5.34579992,\n",
       "         5.34579992]]),\n",
       " 6: array([[5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        [5.21027994, 5.21027994, 5.21027994, ..., 5.60202217, 5.60202217,\n",
       "         5.60202217],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138],\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138],\n",
       "        [0.        , 0.        , 0.        , ..., 5.58002138, 5.58002138,\n",
       "         5.58002138]]),\n",
       " 7: array([[4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        [4.54519796, 4.54519796, 4.54519796, ..., 4.94014788, 4.94014788,\n",
       "         4.94014788],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499],\n",
       "        [0.        , 0.        , 0.        , ..., 4.97207499, 4.97207499,\n",
       "         4.97207499]]),\n",
       " 8: array([[3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        [3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        [3.38186955, 3.38186955, 3.38186955, ..., 3.73335552, 3.73335552,\n",
       "         3.73335552],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512],\n",
       "        [0.        , 0.        , 0.        , ..., 3.75254512, 3.75254512,\n",
       "         3.75254512]]),\n",
       " 9: array([[1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        [1.60437179, 1.60437179, 1.60437179, ..., 1.80872381, 1.80872381,\n",
       "         1.80872381],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676],\n",
       "        [0.        , 0.        , 0.        , ..., 1.84118676, 1.84118676,\n",
       "         1.84118676]]),\n",
       " 10: array([[1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        [1.23011148, 1.23011148, 1.23011148, ..., 1.41456532, 1.41456532,\n",
       "         1.41456532],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856],\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856],\n",
       "        [0.        , 0.        , 0.        , ..., 1.42739856, 1.42739856,\n",
       "         1.42739856]]),\n",
       " 11: array([[0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        [0.76984066, 0.76984066, 0.76984066, ..., 0.85954601, 0.85954601,\n",
       "         0.85954601],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.8547039 , 0.8547039 ,\n",
       "         0.8547039 ]])}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr = np.genfromtxt(data_path / \"pet.txt\")\n",
    "arr.shape = (12, modelgrid.nrow, modelgrid.ncol)\n",
    "pet_monthly = {i: a for i, a in enumerate(arr)}\n",
    "pet_monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "330ebe43",
   "metadata": {},
   "source": [
    "And resample the precipitation raster we saved earlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4cb67791",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: array([[4.47806406, 4.47806406, 4.47806406, ..., 3.39419365, 3.39419365,\n",
       "         3.39419365],\n",
       "        [4.47806406, 4.47806406, 4.47806406, ..., 3.39419365, 3.39419365,\n",
       "         3.39419365],\n",
       "        [4.47806406, 4.47806406, 4.47806406, ..., 3.39419365, 3.39419365,\n",
       "         3.39419365],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 4.0393548 , 4.0393548 ,\n",
       "         4.0393548 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.0393548 , 4.0393548 ,\n",
       "         4.0393548 ],\n",
       "        [0.        , 0.        , 0.        , ..., 4.0393548 , 4.0393548 ,\n",
       "         4.0393548 ]]),\n",
       " 1: array([[2.36392856, 2.36392856, 2.36392856, ..., 1.75142848, 1.75142848,\n",
       "         1.75142848],\n",
       "        [2.36392856, 2.36392856, 2.36392856, ..., 1.75142848, 1.75142848,\n",
       "         1.75142848],\n",
       "        [2.36392856, 2.36392856, 2.36392856, ..., 1.75142848, 1.75142848,\n",
       "         1.75142848],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 2.35964322, 2.35964322,\n",
       "         2.35964322],\n",
       "        [0.        , 0.        , 0.        , ..., 2.35964322, 2.35964322,\n",
       "         2.35964322],\n",
       "        [0.        , 0.        , 0.        , ..., 2.35964322, 2.35964322,\n",
       "         2.35964322]]),\n",
       " 2: array([[2.12096763, 2.12096763, 2.12096763, ..., 1.53064525, 1.53064525,\n",
       "         1.53064525],\n",
       "        [2.12096763, 2.12096763, 2.12096763, ..., 1.53064525, 1.53064525,\n",
       "         1.53064525],\n",
       "        [2.12096763, 2.12096763, 2.12096763, ..., 1.53064525, 1.53064525,\n",
       "         1.53064525],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.75612891, 1.75612891,\n",
       "         1.75612891],\n",
       "        [0.        , 0.        , 0.        , ..., 1.75612891, 1.75612891,\n",
       "         1.75612891],\n",
       "        [0.        , 0.        , 0.        , ..., 1.75612891, 1.75612891,\n",
       "         1.75612891]]),\n",
       " 3: array([[0.597     , 0.597     , 0.597     , ..., 0.46433336, 0.46433336,\n",
       "         0.46433336],\n",
       "        [0.597     , 0.597     , 0.597     , ..., 0.46433336, 0.46433336,\n",
       "         0.46433336],\n",
       "        [0.597     , 0.597     , 0.597     , ..., 0.46433336, 0.46433336,\n",
       "         0.46433336],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.53933334, 0.53933334,\n",
       "         0.53933334],\n",
       "        [0.        , 0.        , 0.        , ..., 0.53933334, 0.53933334,\n",
       "         0.53933334],\n",
       "        [0.        , 0.        , 0.        , ..., 0.53933334, 0.53933334,\n",
       "         0.53933334]]),\n",
       " 4: array([[0.78161287, 0.78161287, 0.78161287, ..., 0.80645162, 0.80645162,\n",
       "         0.80645162],\n",
       "        [0.78161287, 0.78161287, 0.78161287, ..., 0.80645162, 0.80645162,\n",
       "         0.80645162],\n",
       "        [0.78161287, 0.78161287, 0.78161287, ..., 0.80645162, 0.80645162,\n",
       "         0.80645162],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.79193544, 0.79193544,\n",
       "         0.79193544],\n",
       "        [0.        , 0.        , 0.        , ..., 0.79193544, 0.79193544,\n",
       "         0.79193544],\n",
       "        [0.        , 0.        , 0.        , ..., 0.79193544, 0.79193544,\n",
       "         0.79193544]]),\n",
       " 5: array([[0.24333334, 0.24333334, 0.24333334, ..., 0.14833333, 0.14833333,\n",
       "         0.14833333],\n",
       "        [0.24333334, 0.24333334, 0.24333334, ..., 0.14833333, 0.14833333,\n",
       "         0.14833333],\n",
       "        [0.24333334, 0.24333334, 0.24333334, ..., 0.14833333, 0.14833333,\n",
       "         0.14833333],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.14933333, 0.14933333,\n",
       "         0.14933333],\n",
       "        [0.        , 0.        , 0.        , ..., 0.14933333, 0.14933333,\n",
       "         0.14933333],\n",
       "        [0.        , 0.        , 0.        , ..., 0.14933333, 0.14933333,\n",
       "         0.14933333]]),\n",
       " 6: array([[0.20354839, 0.20354839, 0.20354839, ..., 0.20645161, 0.20645161,\n",
       "         0.20645161],\n",
       "        [0.20354839, 0.20354839, 0.20354839, ..., 0.20645161, 0.20645161,\n",
       "         0.20645161],\n",
       "        [0.20354839, 0.20354839, 0.20354839, ..., 0.20645161, 0.20645161,\n",
       "         0.20645161],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.20451613, 0.20451613,\n",
       "         0.20451613],\n",
       "        [0.        , 0.        , 0.        , ..., 0.20451613, 0.20451613,\n",
       "         0.20451613],\n",
       "        [0.        , 0.        , 0.        , ..., 0.20451613, 0.20451613,\n",
       "         0.20451613]]),\n",
       " 7: array([[0.08483871, 0.08483871, 0.08483871, ..., 0.11064516, 0.11064516,\n",
       "         0.11064516],\n",
       "        [0.08483871, 0.08483871, 0.08483871, ..., 0.11064516, 0.11064516,\n",
       "         0.11064516],\n",
       "        [0.08483871, 0.08483871, 0.08483871, ..., 0.11064516, 0.11064516,\n",
       "         0.11064516],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "         0.        ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "         0.        ],\n",
       "        [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
       "         0.        ]]),\n",
       " 8: array([[0.30833334, 0.30833334, 0.30833334, ..., 0.22766666, 0.22766666,\n",
       "         0.22766666],\n",
       "        [0.30833334, 0.30833334, 0.30833334, ..., 0.22766666, 0.22766666,\n",
       "         0.22766666],\n",
       "        [0.30833334, 0.30833334, 0.30833334, ..., 0.22766666, 0.22766666,\n",
       "         0.22766666],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 0.48166665, 0.48166665,\n",
       "         0.48166665],\n",
       "        [0.        , 0.        , 0.        , ..., 0.48166665, 0.48166665,\n",
       "         0.48166665],\n",
       "        [0.        , 0.        , 0.        , ..., 0.48166665, 0.48166665,\n",
       "         0.48166665]]),\n",
       " 9: array([[9.75677395, 9.75677395, 9.75677395, ..., 8.6554842 , 8.6554842 ,\n",
       "         8.6554842 ],\n",
       "        [9.75677395, 9.75677395, 9.75677395, ..., 8.6554842 , 8.6554842 ,\n",
       "         8.6554842 ],\n",
       "        [9.75677395, 9.75677395, 9.75677395, ..., 8.6554842 , 8.6554842 ,\n",
       "         8.6554842 ],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 8.43290234, 8.43290234,\n",
       "         8.43290234],\n",
       "        [0.        , 0.        , 0.        , ..., 8.43290234, 8.43290234,\n",
       "         8.43290234],\n",
       "        [0.        , 0.        , 0.        , ..., 8.43290234, 8.43290234,\n",
       "         8.43290234]]),\n",
       " 10: array([[1.15666664, 1.15666664, 1.15666664, ..., 0.90833336, 0.90833336,\n",
       "         0.90833336],\n",
       "        [1.15666664, 1.15666664, 1.15666664, ..., 0.90833336, 0.90833336,\n",
       "         0.90833336],\n",
       "        [1.15666664, 1.15666664, 1.15666664, ..., 0.90833336, 0.90833336,\n",
       "         0.90833336],\n",
       "        ...,\n",
       "        [0.        , 0.        , 0.        , ..., 1.10366654, 1.10366654,\n",
       "         1.10366654],\n",
       "        [0.        , 0.        , 0.        , ..., 1.10366654, 1.10366654,\n",
       "         1.10366654],\n",
       "        [0.        , 0.        , 0.        , ..., 1.10366654, 1.10366654,\n",
       "         1.10366654]]),\n",
       " 11: array([[11.07774162, 11.07774162, 11.07774162, ...,  9.146451  ,\n",
       "          9.146451  ,  9.146451  ],\n",
       "        [11.07774162, 11.07774162, 11.07774162, ...,  9.146451  ,\n",
       "          9.146451  ,  9.146451  ],\n",
       "        [11.07774162, 11.07774162, 11.07774162, ...,  9.146451  ,\n",
       "          9.146451  ,  9.146451  ],\n",
       "        ...,\n",
       "        [ 0.        ,  0.        ,  0.        , ..., 10.41838837,\n",
       "         10.41838837, 10.41838837],\n",
       "        [ 0.        ,  0.        ,  0.        , ..., 10.41838837,\n",
       "         10.41838837, 10.41838837],\n",
       "        [ 0.        ,  0.        ,  0.        , ..., 10.41838837,\n",
       "         10.41838837, 10.41838837]])}"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rstr = flopy.utils.Raster.load(prcp_raster)\n",
    "prcp_monthly = {}\n",
    "for band in rstr.bands:\n",
    "    t = rstr.resample_to_grid(\n",
    "        modelgrid,\n",
    "        band,\n",
    "        method=\"nearest\"\n",
    "    )\n",
    "    t[t == rstr.nodatavals[0]] = 0\n",
    "    prcp_monthly[band - 1] = t\n",
    "    \n",
    "prcp_monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9864665e",
   "metadata": {},
   "source": [
    "Potetial evapotranspiration and Precipitation data from daymet are in mm/day, however our discretization is meters/day. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "5556e58f",
   "metadata": {},
   "outputs": [],
   "source": [
    "prcp_monthly = {k: v * 0.001 for k, v in prcp_monthly.items()}\n",
    "pet_monthly = {k: v * 0.001 for k, v in pet_monthly.items()}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc8ab240",
   "metadata": {},
   "source": [
    "Finally we can load a saved soil hydraulic conductivity array, and we have the information we need to create a Unsaturated Zone Flow (UZF) package for this model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "c6310044",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ksat_raster = data_path / \"ksat.img\"\n",
    "rstr = flopy.utils.Raster.load(ksat_raster)\n",
    "vks = rstr.resample_to_grid(\n",
    "    modelgrid,\n",
    "    rstr.bands[0],\n",
    "    method=\"nearest\"\n",
    ")\n",
    "\n",
    "vks[vks == rstr.nodatavals[0]] = np.nan\n",
    "vks[np.isnan(vks)] = np.nanmean(vks)\n",
    "vks *= 0.0864 \n",
    "ims = plt.imshow(vks)\n",
    "plt.colorbar(shrink=0.6); # um per sec to m per day"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af094113",
   "metadata": {},
   "source": [
    "#### Creating a UZF package \n",
    "\n",
    "Now that we have some climate and soils data we can create a UZF package from it and add it to the model!\n",
    "\n",
    "Create the package data and the stress period data info for flopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6283510f",
   "metadata": {},
   "outputs": [],
   "source": [
    "modelgrid = gwf.modelgrid\n",
    "modelgrid.set_coord_info(xoff=xmin, yoff=ymin)\n",
    "package_data = []\n",
    "cnt = 0\n",
    "for i in range(modelgrid.nrow):\n",
    "    for j in range(modelgrid.ncol):\n",
    "        if modelgrid.idomain[0, i, j] == 0:\n",
    "            continue\n",
    "        \n",
    "        rec = (cnt, (0, i, j), 1, 0, 1.0, vks[i, j], 0.1, 0.38, 0.1, 3.5)\n",
    "        package_data.append(rec)\n",
    "        cnt += 1\n",
    "\n",
    "period_data = {}\n",
    "for per in range(gwf.nper):\n",
    "    spd = []\n",
    "    cnt = 0\n",
    "    for i in range(modelgrid.nrow * modelgrid.ncol):\n",
    "        if modelgrid.idomain.ravel()[i] == 0:\n",
    "            continue\n",
    "        rec = (cnt, prcp_monthly[per].ravel()[i], pet_monthly[per].ravel()[i], 0.5, 0.2, -1.1, -75, 1.0)\n",
    "        spd.append(rec)\n",
    "        cnt += 1\n",
    "        \n",
    "    period_data[per] = spd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "d14f6df9",
   "metadata": {},
   "outputs": [],
   "source": [
    "uzf = flopy.mf6.ModflowGwfuzf(\n",
    "    gwf,\n",
    "    simulate_et=True,\n",
    "    ntrailwaves=15,\n",
    "    nwavesets=100,\n",
    "    packagedata=package_data,\n",
    "    perioddata=period_data,\n",
    "    unsat_etwc=True,\n",
    "    linear_gwet=True,\n",
    "    simulate_gwseep=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bc25d48",
   "metadata": {},
   "source": [
    "### Now to create a simple river package from NHD flowlines \n",
    "\n",
    "We can use the intersection routines that have been presented thus far to create a river package for the sagehen model. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44e4060c",
   "metadata": {},
   "source": [
    "The first step is load the NHD flowlines for the basin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "513512bb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/pandas/core/frame.py:706: DeprecationWarning: Passing a BlockManager to GeoDataFrame is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  warnings.warn(\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flow_lines = data_path / \"sagehen_nhd.shp\"\n",
    "flw_all = gpd.read_file(flow_lines)\n",
    "flw_all.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30e6d2f5",
   "metadata": {},
   "source": [
    "Excellent! Now we have all of the flow lines for the Sagehen watershed. But what if we want to identify the main stem? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "87b4a83b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/pandas/core/frame.py:706: DeprecationWarning: Passing a BlockManager to GeoDataFrame is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  warnings.warn(\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geoseries.py:221: DeprecationWarning: Passing a SingleBlockManager to GeoSeries is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  super().__init__(data, index=index, name=name, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n",
      "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n",
      "  srs = pd.Series(*args, **kwargs)\n"
     ]
    },
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flow_lines = data_path / \"sagehen_main_nhd.shp\"\n",
    "flw_main = gpd.read_file(flow_lines)\n",
    "flw_main.plot()\n",
    "flw_main"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdf6a82e",
   "metadata": {},
   "source": [
    "Great! Now we can start processing data to create a river package. We can first identify our main stem cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "bc236aeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(42, 75), (42, 76), (41, 76), (41, 77), (41, 78)]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main_stem = []\n",
    "gx = GridIntersect(modelgrid)\n",
    "for iloc, row in flw_main.iterrows():\n",
    "    results = gx.intersect(row.geometry)\n",
    "    main_stem += list(results.cellids)\n",
    "main_stem[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "747a7c97",
   "metadata": {},
   "source": [
    "## Class Exercise:\n",
    "\n",
    "Use GridIntersect to create a list of tributary cells from the `flw_all` geodataframe. \n",
    "\n",
    "**Hint**\n",
    "Use the `main_stem` list to filter out cells that are associated with the main stem of the river and only store the cells that are associated with tributaries to the main stem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "4972e581",
   "metadata": {},
   "outputs": [],
   "source": [
    "tributaries = []\n",
    "gx = GridIntersect(modelgrid)\n",
    "for iloc, row in flw_all.iterrows():\n",
    "    results = gx.intersect(row.geometry)\n",
    "    for res in results.cellids:\n",
    "        if res in main_stem:\n",
    "            continue\n",
    "        else:\n",
    "            tributaries.append(res)\n",
    "            \n",
    "tributaries[0:5]\n",
    "with open(data_path / \"trib_cells.txt\", 'w') as foo:\n",
    "    for line in tributaries:\n",
    "        foo.write(f\"{line[0]},{line[1]}\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5709f808",
   "metadata": {},
   "source": [
    "The cellids for tributaries have been stored previously, so we'll load those up and continue on.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d85d59db",
   "metadata": {},
   "outputs": [],
   "source": [
    "tributaries = []\n",
    "with open(data_path / \"trib_cells.txt\") as foo:\n",
    "    for line in foo:\n",
    "        t = line.strip().split(\",\")\n",
    "        tributaries.append((int(t[0]), int(t[1])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "346df19a",
   "metadata": {},
   "source": [
    "#### We can also get daily discharge data to help calculate average monthly stages for the RIV package\n",
    "\n",
    "We'll use the `dataretrieval` package to get stage information for our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "da9ce21b-dc4a-40be-b5c0-406ab4db8a42",
   "metadata": {},
   "outputs": [],
   "source": [
    "import dataretrieval.nwis as nwis\n",
    "\n",
    "\n",
    "gage = nwis.get_record(sites=station_id, service='iv', start=\"2023-01-01\", end=\"2023-12-31\", parameterCd=\"00065\")\n",
    "gage.to_csv(data_path / \"sagehen_gage_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c9f6646d-71ba-40b7-ab37-b3cf4ecf3647",
   "metadata": {},
   "outputs": [
    {
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       "                              stage 00065_cd   site_no\n",
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     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gage = pd.read_csv(data_path / \"sagehen_gage_data.csv\")\n",
    "gage[\"datetime\"] = pd.to_datetime(gage[\"datetime\"])\n",
    "gage = gage.set_index(\"datetime\")\n",
    "\n",
    "gage.rename(columns={\"00065\": \"stage\"}, inplace=True)\n",
    "gage.stage *= 0.3284\n",
    "ax = gage.stage.plot()\n",
    "ax.set_ylabel(\"stage, in feet\")\n",
    "gage.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11a7824d",
   "metadata": {},
   "source": [
    "Now we can aggregate to a mean monthly stage from 15 minute instantaneous values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4ed1d203",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gage[\"month\"] = gage.index.month\n",
    "gage_mmo = gage.groupby(by=[\"month\"], as_index=False)[\"stage\"].mean()\n",
    "ax = gage_mmo.stage.plot()\n",
    "ax.set_ylabel(\"mean stage, in feet\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "994b0757",
   "metadata": {},
   "source": [
    "### Now to create the RIV package\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "d0d82e1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[((0, 42, 75), 1936.8217418655074, 10, 1936.2347412109375),\n",
       " ((0, 42, 76), 1935.65633659207, 10, 1935.0693359375),\n",
       " ((0, 41, 76), 1932.400721357695, 10, 1931.813720703125),\n",
       " ((0, 41, 77), 1930.8251598342574, 10, 1930.2381591796875),\n",
       " ((0, 41, 78), 1928.34823112332, 10, 1927.76123046875)]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cond = 10\n",
    "rbadj = 1\n",
    "stage_adj = 0.33\n",
    "\n",
    "perioddata = {}\n",
    "for kper, row in gage_mmo.iterrows():\n",
    "    spd = []\n",
    "    for (i, j) in main_stem:\n",
    "        ctop = modelgrid.top[i, j]\n",
    "        rbed = ctop - rbadj\n",
    "        rec = ((0, i, j), row.stage + rbed, cond, rbed)\n",
    "        spd.append(rec)\n",
    "        \n",
    "    for (i, j) in tributaries:\n",
    "        ctop = modelgrid.top[i, j]\n",
    "        rbed = ctop - (rbadj / 2)\n",
    "        rec = ((0, i, j), row.stage + rbed, cond, rbed)\n",
    "    \n",
    "    perioddata[kper] = spd\n",
    "\n",
    "perioddata[0][0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "cadccc45",
   "metadata": {},
   "outputs": [],
   "source": [
    "riv = flopy.mf6.ModflowGwfriv(\n",
    "    gwf,\n",
    "    save_flows=True,\n",
    "    maxbound=len(perioddata[0]),\n",
    "    stress_period_data=perioddata\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca7a957f",
   "metadata": {},
   "source": [
    "## Testing the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "fb26d180",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "writing simulation...\n",
      "  writing simulation name file...\n",
      "  writing simulation tdis package...\n",
      "  writing solution package ims_-1...\n",
      "  writing model sagehen...\n",
      "    writing model name file...\n",
      "    writing package dis...\n",
      "    writing package ic...\n",
      "    writing package npf...\n",
      "    writing package sto...\n",
      "    writing package oc...\n",
      "    writing package uzf_0...\n",
      "INFORMATION: nuzfcells in ('gwf6', 'uzf', 'dimensions') changed to 3587 based on size of packagedata\n",
      "    writing package riv_0...\n",
      "FloPy is using the following executable to run the model: ../../../../../../software/modflow_exes/mf6\n",
      "                                   MODFLOW 6\n",
      "                U.S. GEOLOGICAL SURVEY MODULAR HYDROLOGIC MODEL\n",
      "                            VERSION 6.4.2 06/28/2023\n",
      "\n",
      "   MODFLOW 6 compiled Jun 28 2023 18:34:54 with Intel(R) Fortran Intel(R) 64\n",
      "   Compiler Classic for applications running on Intel(R) 64, Version 2021.7.0\n",
      "                             Build 20220726_000000\n",
      "\n",
      "This software has been approved for release by the U.S. Geological \n",
      "Survey (USGS). Although the software has been subjected to rigorous \n",
      "review, the USGS reserves the right to update the software as needed \n",
      "pursuant to further analysis and review. No warranty, expressed or \n",
      "implied, is made by the USGS or the U.S. Government as to the \n",
      "functionality of the software and related material nor shall the \n",
      "fact of release constitute any such warranty. Furthermore, the \n",
      "software is released on condition that neither the USGS nor the U.S. \n",
      "Government shall be held liable for any damages resulting from its \n",
      "authorized or unauthorized use. Also refer to the USGS Water \n",
      "Resources Software User Rights Notice for complete use, copyright, \n",
      "and distribution information.\n",
      "\n",
      " \n",
      " Run start date and time (yyyy/mm/dd hh:mm:ss): 2024/02/03 10:32:11\n",
      " \n",
      " Writing simulation list file: mfsim.lst\n",
      " Using Simulation name file: mfsim.nam\n",
      " \n",
      "    Solving:  Stress period:     1    Time step:     1\n",
      "    Solving:  Stress period:     1    Time step:     2\n",
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      "    Solving:  Stress period:     3    Time step:     1\n",
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      "    Solving:  Stress period:     8    Time step:    21\n",
      "    Solving:  Stress period:     8    Time step:    22\n",
      "    Solving:  Stress period:     8    Time step:    23\n",
      "    Solving:  Stress period:     8    Time step:    24\n",
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      "    Solving:  Stress period:     9    Time step:     1\n",
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      "    Solving:  Stress period:     9    Time step:     4\n",
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      "    Solving:  Stress period:     9    Time step:    10\n",
      "    Solving:  Stress period:     9    Time step:    11\n",
      "    Solving:  Stress period:     9    Time step:    12\n",
      "    Solving:  Stress period:     9    Time step:    13\n",
      "    Solving:  Stress period:     9    Time step:    14\n",
      "    Solving:  Stress period:     9    Time step:    15\n",
      "    Solving:  Stress period:     9    Time step:    16\n",
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      "    Solving:  Stress period:     9    Time step:    18\n",
      "    Solving:  Stress period:     9    Time step:    19\n",
      "    Solving:  Stress period:     9    Time step:    20\n",
      "    Solving:  Stress period:     9    Time step:    21\n",
      "    Solving:  Stress period:     9    Time step:    22\n",
      "    Solving:  Stress period:     9    Time step:    23\n",
      "    Solving:  Stress period:     9    Time step:    24\n",
      "    Solving:  Stress period:     9    Time step:    25\n",
      "    Solving:  Stress period:     9    Time step:    26\n",
      "    Solving:  Stress period:     9    Time step:    27\n",
      "    Solving:  Stress period:     9    Time step:    28\n",
      "    Solving:  Stress period:     9    Time step:    29\n",
      "    Solving:  Stress period:     9    Time step:    30\n",
      "    Solving:  Stress period:    10    Time step:     1\n",
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      "    Solving:  Stress period:    10    Time step:     3\n",
      "    Solving:  Stress period:    10    Time step:     4\n",
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      "    Solving:  Stress period:    10    Time step:     6\n",
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      "    Solving:  Stress period:    10    Time step:     8\n",
      "    Solving:  Stress period:    10    Time step:     9\n",
      "    Solving:  Stress period:    10    Time step:    10\n",
      "    Solving:  Stress period:    10    Time step:    11\n",
      "    Solving:  Stress period:    10    Time step:    12\n",
      "    Solving:  Stress period:    10    Time step:    13\n",
      "    Solving:  Stress period:    10    Time step:    14\n",
      "    Solving:  Stress period:    10    Time step:    15\n",
      "    Solving:  Stress period:    10    Time step:    16\n",
      "    Solving:  Stress period:    10    Time step:    17\n",
      "    Solving:  Stress period:    10    Time step:    18\n",
      "    Solving:  Stress period:    10    Time step:    19\n",
      "    Solving:  Stress period:    10    Time step:    20\n",
      "    Solving:  Stress period:    10    Time step:    21\n",
      "    Solving:  Stress period:    10    Time step:    22\n",
      "    Solving:  Stress period:    10    Time step:    23\n",
      "    Solving:  Stress period:    10    Time step:    24\n",
      "    Solving:  Stress period:    10    Time step:    25\n",
      "    Solving:  Stress period:    10    Time step:    26\n",
      "    Solving:  Stress period:    10    Time step:    27\n",
      "    Solving:  Stress period:    10    Time step:    28\n",
      "    Solving:  Stress period:    10    Time step:    29\n",
      "    Solving:  Stress period:    10    Time step:    30\n",
      "    Solving:  Stress period:    10    Time step:    31\n",
      "    Solving:  Stress period:    11    Time step:     1\n",
      "    Solving:  Stress period:    11    Time step:     2\n",
      "    Solving:  Stress period:    11    Time step:     3\n",
      "    Solving:  Stress period:    11    Time step:     4\n",
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      "    Solving:  Stress period:    11    Time step:     6\n",
      "    Solving:  Stress period:    11    Time step:     7\n",
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      "    Solving:  Stress period:    11    Time step:     9\n",
      "    Solving:  Stress period:    11    Time step:    10\n",
      "    Solving:  Stress period:    11    Time step:    11\n",
      "    Solving:  Stress period:    11    Time step:    12\n",
      "    Solving:  Stress period:    11    Time step:    13\n",
      "    Solving:  Stress period:    11    Time step:    14\n",
      "    Solving:  Stress period:    11    Time step:    15\n",
      "    Solving:  Stress period:    11    Time step:    16\n",
      "    Solving:  Stress period:    11    Time step:    17\n",
      "    Solving:  Stress period:    11    Time step:    18\n",
      "    Solving:  Stress period:    11    Time step:    19\n",
      "    Solving:  Stress period:    11    Time step:    20\n",
      "    Solving:  Stress period:    11    Time step:    21\n",
      "    Solving:  Stress period:    11    Time step:    22\n",
      "    Solving:  Stress period:    11    Time step:    23\n",
      "    Solving:  Stress period:    11    Time step:    24\n",
      "    Solving:  Stress period:    11    Time step:    25\n",
      "    Solving:  Stress period:    11    Time step:    26\n",
      "    Solving:  Stress period:    11    Time step:    27\n",
      "    Solving:  Stress period:    11    Time step:    28\n",
      "    Solving:  Stress period:    11    Time step:    29\n",
      "    Solving:  Stress period:    11    Time step:    30\n",
      "    Solving:  Stress period:    12    Time step:     1\n",
      "    Solving:  Stress period:    12    Time step:     2\n",
      "    Solving:  Stress period:    12    Time step:     3\n",
      "    Solving:  Stress period:    12    Time step:     4\n",
      "    Solving:  Stress period:    12    Time step:     5\n",
      "    Solving:  Stress period:    12    Time step:     6\n",
      "    Solving:  Stress period:    12    Time step:     7\n",
      "    Solving:  Stress period:    12    Time step:     8\n",
      "    Solving:  Stress period:    12    Time step:     9\n",
      "    Solving:  Stress period:    12    Time step:    10\n",
      "    Solving:  Stress period:    12    Time step:    11\n",
      "    Solving:  Stress period:    12    Time step:    12\n",
      "    Solving:  Stress period:    12    Time step:    13\n",
      "    Solving:  Stress period:    12    Time step:    14\n",
      "    Solving:  Stress period:    12    Time step:    15\n",
      "    Solving:  Stress period:    12    Time step:    16\n",
      "    Solving:  Stress period:    12    Time step:    17\n",
      "    Solving:  Stress period:    12    Time step:    18\n",
      "    Solving:  Stress period:    12    Time step:    19\n",
      "    Solving:  Stress period:    12    Time step:    20\n",
      "    Solving:  Stress period:    12    Time step:    21\n",
      "    Solving:  Stress period:    12    Time step:    22\n",
      "    Solving:  Stress period:    12    Time step:    23\n",
      "    Solving:  Stress period:    12    Time step:    24\n",
      "    Solving:  Stress period:    12    Time step:    25\n",
      "    Solving:  Stress period:    12    Time step:    26\n",
      "    Solving:  Stress period:    12    Time step:    27\n",
      "    Solving:  Stress period:    12    Time step:    28\n",
      "    Solving:  Stress period:    12    Time step:    29\n",
      "    Solving:  Stress period:    12    Time step:    30\n",
      "    Solving:  Stress period:    12    Time step:    31\n",
      " \n",
      " Run end date and time (yyyy/mm/dd hh:mm:ss): 2024/02/03 10:33:33\n",
      " Elapsed run time:  1 Minutes, 22.215 Seconds\n",
      " \n",
      " Normal termination of simulation.\n"
     ]
    }
   ],
   "source": [
    "sim.write_simulation()\n",
    "sim.run_simulation();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "81fd5949",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IiAKCJxtERERERBQQQ/LSt+xsDN61wbpfPB7+Wxus+8Xj4b+1gdz2qPFZOp2Nbt86G8I8IdKNbgQ7G57NA3U8FGtjDIFpdOjNh9padjYGlyF5siEZqNeiDsb94vEIjrXBul98TP5bG6z7FayP6QcPPY7qs3IrY5K5TexwTLJYsfe0urNRc0J7XjLcqu5GjGBnw6N5gLat1zsZHRqYRofefKit7cWTjcGBL6MiIiIiIqKA4MkGEREREREFBE82iIiIiIgoIHiyQUREREREAcGTDSIiIiIiCgiebBARERERUUAMyUvfsrMxeNcG637xePhvbbDuF4+H/9YGctu+dDYSIuzKtaoOh25nIzKAnY0YH5sUAWhl+NIV0ZsHfK3wmGIgNziAgfn/Ijsb5A9D8mRDMlCvRR2M+8XjERxrg3W/+Jj8tzZY9ytYH5MvnY3SJHVno3SYD52N1AB2NtLVa5X7pehw+NSzUHQy3N12QLojeverOB5jIDc4gIH5/yI7G+QPfBkVEREREREFBE82iIiIiIgoIHiyQUREREREAcGTDSIiIiIiCgiebBARERERUUDwZIOIiIiIiAJiSF76lp2Nwbs2WPeLx8N/a4N1v3g8/Lc2kNsekp0N1VpFgyOg96u31ocOR391R9jZ8N9adjYGlyF5siEZqNeiDsb94vEIjrXBul98TP5bG6z7FayPKeCdjZNCZyPF985G7RHt+YR0edY7F5sUilnv/Qaks6HoZABA0ciB1x1hZ8N/a3vxZGNw4MuoiIiIiIgoIHiyQUREREREAcGTDSIiIiIiCgiebBARERERUUDwZIOIiIiIiAKCJxtERERERBQQPNkgIiIiIqKAGJKdDUb9Bu/aYN0vHg//rQ3W/eLx8N9aX7etCvclRMjRPgBICJfDfYMy6hfoAJ601odoX++82ao9j/clVOjOWuHraIqy44LiaxzrQ/RvIP5/zKgf9RqSJxuSgRq+Ccb94vEIjrXBul98TP5bG6z71Z+PSRXum2SRo30AUGqxBm/U7/MozdmEUR26UT9VENCXAJ7X4T03on2qx1SU1o7az7SPR+EY/eOhihx6G/UruqId+07I3x9jHXsH3P+LjPpdrqOjA52dnX7fbkREBKKitL+nB7qw/t4BIiIiIqJg19HRgTGjjDh52u73bQ8fPhyHDx8elCccPNkgIiIiItLR2dmJk6ftOFwzCvFx/nvbc3OLA2OKP0dnZydPNoiIiIiIhrL4uBC/nmwMdjzZICIiIiJyk93pgN2P73i2Ox3+21gQ4mkZEREREREFBJ/ZICIiIiJykwNOOOC/pzb8ua1gNCQvfcvOxuBdG6z7xePhv7XBul8B7UZcmYVzdvn6/eZQuzhXzXrn57u153GdF4Lya6zqaADqloaqo9GzVp6rOhpAT0tj0HU2+nFts2Ier9PZ0FvbH52NBB86HMH6s2modTZ6f488Xj/S728QH5H5RdA9Xn8Zks9s/PnPf9b8/EC9FnUw7hePR3CsDdb94mPybO09P3scu6zy9fvLYqzY1aY9L4uVZwAwVbE29/QHQfk1VnU0AHVLQ9XRAC62NM5419koSbaiRugslAwPcGdDmOnNA9roULQyVNsFenoXUkcD6Nnvvx8WOhtjO5RrC0fLj3nCKP3uiLKzcVzxNR6h1+H4cMD9bAp0Z4MGhyF5skFERERE5A270wm7H18Y5M9tBSO+QZyIiIiIiAKCJxtERERERG7qfYO4Pz88sWLFCpSWliIuLg7Jycm48cYbUV9ff9nt6urqMH/+fJhMJsTFxWHKlCk4cuSIa26z2bB48WIkJSUhNjYW8+fPxxdffNFnG+fPn8eCBQtgMplgMpmwYMECXLhwwaP95ckGEREREZGbHHDC7scPT082tm7dioULF6KqqgobNmxAd3c35s2bh7a2NtdtPvnkE0yfPh1ZWVnYsmUL/v73v+MXv/hFn0L50qVL8frrr2Pt2rWorKxEa2srrr/+etjtdtdtbrvtNtTW1mL9+vVYv349amtrsWDBAo/2l+/ZICIiIiLqZ83NzX3+HBkZicjIyMtut379+j5/Xr16NZKTk1FTU4OZM2cCAH72s5/h2muvxb//+7+7bjd27FjXfzc1NWHVqlV45ZVXMHfuXADAmjVrkJaWhvfeew9XXXUV6urqsH79elRVVWHy5MkAgBdffBFlZWWor69HZmamW4+Lz2wQEREREbkpUC+jSktLc71cyWQyYcWKFW7tT1NTEwDAbDb37J/DgXfeeQcZGRm46qqrkJycjMmTJ+ONN95wrampqUFXVxfmzZvn+tyIESOQl5eHnTt3AgB27doFk8nkOtEAgClTpsBkMrlu4w52Ni4xEK9FHaz7xeMRHGuDdb/4mPrypaOhN1d1NAAgMUyeJ/qyNsyO812KteHezxN1Wxn92NkQOgoJUf3b2ZC6E/Hu9CwUa33ZZ287GsDFloaqs6Gz1utjqbdW9TVmZ8PtebB3Nj45NBxxfuxstLQ4MC7rJI4ePdrn8UrPbFzK6XTihhtuwPnz57F9+3YAwMmTJ5GamoqYmBg8/vjjmD17NtavX4+HH34YmzdvxqxZs/Daa6/hjjvugM1m67O9efPmYcyYMXj++efxq1/9Ci+99BIaGhr63CYjIwN33HEHli1b5tbjG5Ivo2JnY/CuDdb94vHw39pg3S9f1rrV0fCys6HqaAAXOxwtQqPDaEVVs7x2SrwVu5u055Pjrai+oGhhJFhRfV4xT7Si+pyw7USrT50NqaMBACXD5JZG6TAr9p5SdzakjkJxqh86G6pmhaKzUTRK7k5MGK1uUqjmhaO973uo9sm1Vme//v6p9i9hhWNtYoMDAArGqrsj3nY2Jo6UZ4B+h2Osk52NgSJQl76Nj4/3+ORq0aJF2L9/PyorK12fczgcAIAbbrgBP/7xjwEAEyZMwM6dO/H73/8es2bNErfndDphMBhcf770v6Xb6OHLqIiIiIiIBpjFixfjrbfewubNmzFy5EjX55OSkhAWFoacnJw+t8/OznZdjWr48OHo7OzE+fPn+9zm9OnTSElJcd3m1KlTl93vmTNnXLdxB082iIiIiIjc5AjAhyecTicWLVqEdevWYdOmTRgzZkyfeUREBEpLSy+7HG5DQwNGjRoFACguLkZ4eDg2bNjgmp84cQIHDx7E1KlTAQBlZWVoampCdXW16za7d+9GU1OT6zbuGJIvoyIiIiIi8kbvJWv9uT1PLFy4EK+99hrefPNNxMXF4eTJkwAAk8mE6Oiel+r95Cc/wbe//W3MnDnT9Z6Nt99+G1u2bHHd9s4778QDDzwAi8UCs9mMBx98EPn5+a6rU2VnZ+Pqq6/G3Xffjeeffx4AcM899+D66693+0pUAJ/ZICIiIiIaMJ577jk0NTWhvLwcqampro8//vGPrtt84xvfwO9//3v8+7//O/Lz8/H//X//H/7v//4P06dPd93mqaeewo033oibb74Z06ZNQ0xMDN5++22Ehn55IYNXX30V+fn5mDdvHubNm4eCggK88sorHu0vn9kgIiIiInKT3dnz4c/tecLdC8l+//vfx/e//31xHhUVhZUrV2LlypXibcxmM9asWePZDv4DPrNBREREREQBwc7GJQbitaiDdb94PIJjbbDuFx9TX/7obCh7F6pWhi9rFS0NXzoavXOxlaFoYQBAQriis6GzVtXSSIgMYGcjSqfvoJj70qxwp0kRbGtd8zZh27HyzDVX7JfX7RB31nr5PRBjkBscQHD+XBvMnY3aD5P93tmYkHM66B6vvwzJl1GxszF41wbrfvF4+G9tsO5XwDsbilaGqqWh6mgA6paGqqMBqFsavnQ0gIstDWE+yazT2TArOhtJckcDuNjSEOYlyVbUnJTXFqf40NkYodPZGCl3NorS271uVkwY3aFsUhSOkeeFY7xvdLh1v0JHo2duw/5PtOcF4+QZABSMlzscqgYHoO5wqBocgH6HY+IIeT7GIDc4gOD8uTaYOxsOGGCH+50Jd7Y3mPFlVEREREREFBBD8pkNIiIiIiJvOJw9H/7c3mDGZzaIiIiIiCgg+MwGEREREZGb7H5+z4Y/txWMeLJBREREROQmnmx4hi+jIiIiIiKigGBn4xID8VrUwbpfPB7BsTZY92soPiZVS8OXjgag7mGoOhqutQFoZfjS0QDUPYyECLmjAQAJim2rOhqAuqXhc2fDy44GoNN3GKidDb0WhmoeY0dzm/a/l8bHOsQZAMQbHepGh95jEo51vOJrBLjZ4VB8jVVrVR2OYP2ZOJA7G5UHR8Dox85Ga4sD0/OOB93j9RefXka1YsUKPPzww1iyZAmefvppzdtUVlbioYcewqFDh2C1WjFq1Cjce++9+PGPf+y6TXl5ObZu3XrZ2muvvRbvvPOO677WrVuHQ4cOITo6GlOnTsVvfvMbZGZmerzf7GwM3rXBul88Hv5bG6z7pbf2np89jp1CS2NqjFXZ2Zgare5sqFoaZcb+aWVMMnvf0XCtF1oakyxyRwMASi1W7D3jXWejJNmKvaeEzkaKFTVCRwMAiodbse+4diehOFW/saDsbKT51tlQtTKUPYuxNnGumumuHWPDfsXagrE6rYyxHTjQoD3Pz7CJMwDIz+yUGx2KBgcAFI6V2yGFo+UGB9DzddL7GosND8UMAEaHyh2OYP2ZOJA7G+QZr0829uzZgxdeeAEFBQXK28XGxmLRokUoKChAbGwsKisrce+99yI2Nhb33HMPAGDdunXo7Ox0rTl79iwKCwtx0003uT63detWLFy4EKWlpeju7sbPfvYzzJs3Dx9++CFiY2O9fRhERERERG7jezY849XJRmtrK77zne/gxRdfxOOPP668bVFREYqKilx/Hj16NNatW4ft27e7TjbMZnOfNWvXrkVMTEyfk43169f3uc3q1auRnJyMmpoazJw5U/O+bTYbbDab68/Nzc3uPUAiIiIiIg12hMDux7c92/22peDk1ZFauHAhrrvuOsydO9fjte+//z527tyJWbNmibdZtWoVbrnlFuUzFk1NTQAuP1G51IoVK2AymVwfaWlpHu8vERERERF5x+NnNtauXYt9+/Zhz549Hq0bOXIkzpw5g+7ubixfvhx33XWX5u2qq6tx8OBBrFq1StyW0+nE/fffj+nTpyMvL0+83bJly3D//fe7/tzc3MwTDiIiIiLymtNpgMPpv5c+Of24rWDk0cnG0aNHsWTJErz77ruIipLfQKVl+/btaG1tRVVVFX76059i/PjxuPXWWy+73apVq5CXl4dJkyaJ21q0aBH279+PyspK5X1GRkYiMlJ+kxgREREREQWORycbNTU1OH36NIqLi12fs9vt2LZtG5555hnYbDaEhmpfmm3MmDEAgPz8fJw6dQrLly+/7GTDarVi7dq1ePTRR8V9WLx4Md566y1s27YNI0eO9GT3iYiIiIh8wjeIe8ajk42KigocOHCgz+fuuOMOZGVl4aGHHhJPNP6R0+ns88btXv/7v/8Lm82G7373u5prFi9ejNdffx1btmxxnbwQEREREX1V7M4Q2J1+fIP4IC/e+Rz1Ky8vx4QJE1ydjWXLluHYsWN4+eWXAQC/+93vkJ6ejqysLAA93Y2lS5di8eLFl13JasaMGbjiiiuwdu3ay+7nRz/6EV577TW8+eabfdoaJpMJ0dHytacvxajf4F8brPvF4+G/tcG6X/0a9VPMVdE+AEgMlwN5qjgecDFiJ4b3dNb6FPVTr1WF+9wK86nWCtE+4GK4T5jrRvv6M+rnZVxPN7zny1pFtK9nvQMtrdrzOKM805vHxcnBv5771TmWOl+HgEX9Qhj1+yr0/h75//aPQawfo35tLQ5cU3A46B6vv/gU9dNy4sQJHDlyxPVnh8OBZcuW4fDhwwgLC8O4cePw61//Gvfee2+fdQ0NDaisrMS7776rud3nnnsOQM/JzaVWr16N22+/3aN9ZNRv8K4N1v3i8fDf2mDdr4BH/VrVUb+qZu35lDi9uJ4cyCu1WNXxvGHyvDRJZ63ethXrS5PkaJ9rLoT7VNE+QB3uKx5uxT5V1C/VKob7dKN9I92I+n2u/V7JolFyaA7QifqN7vA6rlcwTie8p5jrrh3bgQMfKebj5XBffoYNB+ojxLX5mZ3i2rysThz4WBEEvFIRKhxnU34dCkd3iF9DoOfrJIUbJ+gEAUeHMer3VXLAAIcfL33rwOB+asPnk40tW7b0+fNLL73U58+LFy/G4sWLdbeTkZEB1ZMsPj4BQ0REREREXzG/P7NBRERERDRY8Q3inuHJBhERERGRm/z/BvHB/eod/x0pIiIiIiKiS/CZDSIiIiIiN/W8Qdx/L33y57aCEZ/ZICIiIiKigPC5szGQsLMx+NcG637xePhvbbDu16grs3DOoWhlhMgtjf7tbCh6FooGB6DuWZgUDQ69tYAbvYtArhVaGaqOBqBuZfjS0dCbmxQdDeBi/8HbzoaidxFvdKNJIXU2fOhoADqtDF86G26s9el46H2dhK+xXqODnY2vRu/vkX/6exZi4twLWbvD2mLHTYWHgu7x+suQfBkVOxuDd22w7hePh//WBut+3fPzx7GjQ24wTIu0Yme70NmItmJXm6KzEWPFrhZFZ8Noxe4m7fnkeCuqzys6GwlWVJ/Vnk8yt+n3LIRmRfFwuXUB9DQ6VPOSZB9bGSfl/ZI6Gr1zqaWh6mgAPS0Nrzsbae1iYwHo6SyInY10nc7GaB86G2Pk3kV+hk6TYrxNnOeP876j0XPfcksjP7MTB+vkzkZedicOHtKe52V1KhsdeVmdyuOhPJbjbOLXAQAKx8pfR71Gx6gIdjYoeA3Jkw0iIiIiIm/walSe4ckGEREREZGbHAhhQdwDfIM4EREREREFBJ/ZICIiIiJyk91pgN3px4K4H7cVjPjMBhERERERBQSf2SAiIiIicpMdIbD78d/r7YP8PRvsbFxiIF6LOlj3i8cjONYG634N1MeUrmhpWELsPnU2vO1oAOqWRmJ4/3Q2fOlZAD1NC1XvIpBrVT0LZQvDl7VuzFUNhn7pbMTKzQm9uS8dDb15nNGBlhbF2jh5rpq55or7VR4PHzocqq+h3jw6VG5wAMH5cz7YOxv/va/I752N7098P+ger78MyWc22NkYvGuDdb94PPy3tj/36+6fP44dndoNhukRVv3OhlV7Pk2ns1EWY0WVorMxxWhF9QWhlZFgRfU5RWcjUd3Z2NMor51kkXsXJSne9ywAYGKqPFfNXPPjcu9CmgFAcaqilXGFTitjpDz3paMBAEWj5AbDBMUMuNjZEPoPhWNs2P+Jog0xVtHZuNKmbGXkXym3MgoUM6CnoyG1MICe3oXU0sjL6sQHH1z+D4q9cnO7xHlubhc+qFOszekS9ys3u1P9mDI71cd6vE3+Oo216X6NpXl6lNzgAIL35zwNHkPyZIOIiIiIyBt8GZVn+AZxIiIiIiIKCD6zQURERETkJgf8e7lah9+2FJx4skFERERE5Cb/F8QH9wuNBvejIyIiIiKifsNnNoiIiIiI3GR3hsDu9OMbxP24rWDEzsYlgvXa/gNxv3g8gmNtsO5XsD6m9Ay5owFcbGVInQ0DOxt91rrR0QhYsyIm+FoZqk4G4IdWRj91NnxqYeitVfQu4o0OtLRov2Y+Ls4pzvTmvqw1xjt1H5O3HQ5VgwNgZ+Or0vt75DM1kxFt9N+/17e3dmNR8e6ge7z+MiSf2WBnY/CuDdb94vHw39pAbvvuXzyOHV2KVka4Ve5shOt3NqSWxtQYK3a1KjobsVZUNSs6G3GB62zsPSOvLU1SdDaS1S2M4uFW3WaF1KWYkK7Tu1DMi9L6p5Wh6mQA7rUyxM7G6A78/bC8tnBMYDobBeNtOFAvtzDyMzvFJkVeljwDgLzMTmXvQtXSyM3twgcHFa2MvC58cED715/c/G79tcI8p6BbbH8AQG6O9x2OgvE2/a+xME+LZmfD3xwwwAF/vkHcf9sKRkPyZIOIiIiIyBt8GZVnBvejIyIiIiKifsNnNoiIiIiI3OT/gvjg/rf/wf3oiIiIiIio3/CZDSIiIiIiNzmcBjj8WRD347aCEU82iIiIiIjc5PDzy6hYECciIiIiIvICo36XYOBs4K8N1v3i8fDfWl+3nZ6RhXNOIa7nTpiPUb8v1/oS9YvUD+T5FLETth3vTlxPtbYfwnt+2bYqFqcT9QtEmC8uzvtoX8/6wIT5ArnWl+hfvNHBqF8Q6P098lfVsxHlx6hfR2s3Hp602e3Hu2LFCqxbtw6HDh1CdHQ0pk6dit/85jfIzMx03eb222/H//zP//RZN3nyZFRVVbn+bLPZ8OCDD+IPf/gD2tvbUVFRgWeffRYjR4503eb8+fO477778NZbbwEA5s+fj5UrVyIhIcHtxzckX0bFqN/gXRus+8Xj4b+1vm777n99HJV2IcwXYkVltxyimx5mFaN/08Os2Nkur50a5WPUr0UR9TMGadTvuBzAKx6ujutNHNkuh+jG2tQBvDHqAJ7X8bxAh/e8nKuifT1zG/YL84KxNhz4WCfqJ4To8jNsyohdXpYc5svN7hKjfACQlyNH+4CL4T5VmE+Y6c19XqsIAuYUdCtDhrnZnWJAMT+zU/01HitH/xj1G3y2bt2KhQsXorS0FN3d3fjZz36GefPm4cMPP0RsbKzrdldffTVWr17t+nNERN/vv6VLl+Ltt9/G2rVrYbFY8MADD+D6669HTU0NQkN7Tl5vu+02fPHFF1i/fj0A4J577sGCBQvw9ttvu72/Q/Jkg4iIiIjIG3YYYPdj9bt3W83NzX0+HxkZicjIy08ye3/x77V69WokJyejpqYGM2fO7LN++PDhmvfZ1NSEVatW4ZVXXsHcuXMBAGvWrEFaWhree+89XHXVVairq8P69etRVVWFyZMnAwBefPFFlJWVob6+vs8zKSp8zwYRERERkZsczhC/fwBAWloaTCaT62PFihVu7U9TUxMAwGw29/n8li1bkJycjIyMDNx99904ffq0a1ZTU4Ouri7MmzfP9bkRI0YgLy8PO3fuBADs2rULJpPJdaIBAFOmTIHJZHLdxh18ZoOIiIiIqJ8dPXq0z3s2tJ7V+EdOpxP3338/pk+fjry8PNfnr7nmGtx0000YNWoUDh8+jF/84heYM2cOampqEBkZiZMnTyIiIgKJiYl9tpeSkoKTJ08CAE6ePInk5OTL7jM5Odl1G3fwZIOIiIiIyE12wM8vo+oRHx/v8RviFy1ahP3796OysrLP57/97W+7/jsvLw8lJSUYNWoU3nnnHfzTP/2TuD2n0wmD4cvHdul/S7fRw5dRERERERENMIsXL8Zbb72FzZs397mClJbU1FSMGjUKH330EQBg+PDh6OzsxPnz5/vc7vTp00hJSXHd5tSpU5dt68yZM67buIMnG0REREREbgrUezbc5XQ6sWjRIqxbtw6bNm3CmDFjdNecPXsWR48eRWpqKgCguLgY4eHh2LBhg+s2J06cwMGDBzF16lQAQFlZGZqamlBdXe26ze7du9HU1OS6jTvY2bjEUGwODLa1wbpfPB7+W6s3T8/IwlnI16O3wI5zwtwMu9jgANQdDr1Gh6UfOxuqVoaqpaHqaAAXWxqKzoayoxHlRu/C2zaEYh4f2489C187G4E4HjF2se3Qs1Zuaag6GoC6leFLz8I1bxa2HR/EnQ3F8YqL0+ls6H2N2dkIuN7fI39eNQ9RRvkyx57qaO3C41Pedfvx/uhHP8Jrr72GN998s88VoUwmE6Kjo9Ha2orly5fjm9/8JlJTU/HZZ5/h4YcfxpEjR1BXV4e4uDgAwA9/+EP85S9/wUsvvQSz2YwHH3wQZ8+e7XPp22uuuQbHjx/H888/D6Dn0rejRo3ipW/1sLMxeNcG637xePhvrd78rn97HNshtyFmwortDu35DIM8651LHY7poVbs6FQ0OsLlDsc0RYMDAMpivO9sTDapOxuTEtuwp1HobFis2HtaXluSbEXNCaGzkWLFvmOKzsaIdnWzIr0D+z8R2hDj5G4E0NOOELsS42z6vQJF38PrnoUP96u7bcXjdc2lYzm2Q2w7AEDBeBsO1Gu3IfIz5I4GcLGzIXQncvPkTgbgRu8irxsfCvOcAjdaGar9UrQyVHO9tTn53crjlZPbJXc2MjrVX+Nx7Gx8lezOENg9fDZCb3ueeO655wAA5eXlfT6/evVq3H777QgNDcWBAwfw8ssv48KFC0hNTcXs2bPxxz/+0XWiAQBPPfUUwsLCcPPNN7uifi+99JLrRAMAXn31Vdx3332uq1bNnz8fzzzzjEf7OyRPNoiIiIiIvOGEAQ4/vkHc6eG29F6UFB0djb/97W+624mKisLKlSuxcuVK8TZmsxlr1qzxaP/+Ed+zQUREREREAcFnNoiIiIiI3NTfL6MaaAb3oyMiIiIion7DZzaIiIiIiNzkcBrgcPrvPRv+3FYw4skGEREREZGb7AiB3Y8vDvLntoIROxuXGIzNgaG2Nlj3i8fDf2v15umZOp0Np12cqxocgLrDYUawdjbkjgYAJCg6HO50NqSWhilKp7MRrdOViJb7D6r2A9DTf1CtVXYlFD0Dn/seXq71eduKloY7xzJgnQ2hkwFcbGV4OQ9kZ0PVyoiLUx+PuDgfvm/Z2QgKvb9HLt0xH5F+7GzYWrvw9LS3gu7x+suQfGaDnY3BuzZY94vHw39r9eZ3LVd3NmbAKs5VDQ5Ap7MR4mNno1XR2Yi1oqpZ0dmIs6L6vNDZSJA7GgBQqmhplA6TOxqAuqUxcUQ7aj+XOxpF6R3qrsToDhxoENoQV9rEGQDkZcrz/AybsiuRn9GJAx8La8fbxJnePH+83LoALrZDvJzrrlW0NArGq49lfoYNBw9pdzbyMn3obOR2iZ0MoKdJ8eF++ZfrnAJ74DobHyhaGHnd4jw3t0t5PHJzunCwTvtY9sw7fepsSN2a9Ch2NvyNL6PyzOB+3oaIiIiIiPrNkHxmg4iIiIjIGw6EwOHHf6/357aCEU82iIiIiIjcZHcaYPfjS5/8ua1gNLhPpYiIiIiIqN/wmQ0iIiIiIjfxDeKe4TMbREREREQUEOxsXGIwNgeG2tpg3S8eD/+tBdQtDQvkjgbgRmdD6GgAgNkgtzQsihkAmFWdjRDvOxoAkKhoZSTodDZULY2ESDuaOhStDFVnI9r79gNwsf8QgJ6BqhuhN3dnbSD6Hj3rFZ0NN44lOxv/cN/CXNXR6Fmr833p5bHUm0dFNA+4n9WDubNxz9abEOHHzkZnaxdemPWnoHu8/jIkX0bFzsbgXRus+8Xj4b+1QE9LY1uI0MpwWLHNILchZjoVnQ2n952NGaFW7OiQ106LtGJXm/Z8arQVVS2KjobRiuoL8nyyyYrqs9rzSeY2saMBXGxpnNSeqzoaADAxVW5pFKV1qLsAY+SOBtDTf5CaBbnZ6hZCbp7cM8jL7hS7EUBPG+JAvfY8P7OzX/oegE7DY5zc0QCAfEWXpOBKm/h4gZ7HLB7LrE7l1yEvR6ezodPRqKuV59kT7OL6nEK7152NnHy5owGoWxq5OV1ef28B6u+vEYnHBtzP6sHc2bDDADv8+AZxP24rGPFlVEREREREFBBD8pkNIiIiIiJvOJz+fVO3Y5C/oYHPbBARERERUUDwmQ0iIiIiIjc5nCFwOP1YEPfjtoIRTzaIiIiIiNzkgAEOP76p25/bCkaD+1SKiIiIiIj6DTsblxiI16IO1v3i8QiOtcG6X750NAB1S8OdzsY5YW7W6WxYILc0VB2N3rnU0vClowGoWxqqjgagbmmoOhqAuqURH2PXbwoEstGgWqtoMKg6C750FHxpdAD6rQzdZokv3RHheKi+RoD6WLv1NWwSx4gzQd3Z8PL7w63ORgAaLoC6pRGsP6uHamfjtk23IcIoX8bYU52tnXhtzmtB93j9ZUi+jIqdjcG7Nlj3i8fDs7V3LX8cW0PlNsQsu1XZ2ZA6GgAwE3JLQ9XRAIAZIVbssGnPp0VYscsqr50aJbc0fOloAOqWhqqjAahbGhNT21F7RO5sFI1sF1sahaM71E2BDDcaDUIrITevW91oKLTLfYc8daMjJ69b3VEQmhOAuuGRl+V9owNQdzpUHQ3gYktD0f9QtiEyO8XjodfZyM3t8v5rmN+t7mwUOcR59gQ7PlR0NnIKfOhsBKjhAgAjzHJLI1h/Vg/VzgZ5ZkiebBAREREReYNvEPcMTzaIiIiIiNzkgMG/nQ2+QZyIiIiIiMhzfGaDiIiIiMhNTj9f+tbJZzaIiIiIiIg8x2c2iIiIiIjc5HD6+T0bftxWMOIzG0REREREFBCM+l1iIIZvgnW/eDyCY21/7ld6ZhbOGoTwnlMnvKcX5lNF/RTRPuBiuE8I81kM8gxQh/tU0T5AHe5LVET5eub6YT5pror2AepwnynajmarvDY+xvuoX3ysG0E4VbStH4Jv/RUE1JsHfG2wRv2Euerr79p2P3yNVdE+IDj/DmHUr6/e3yO/seEOhMf6L+rX1daJ17+2Ouger78MyZdRMeo3eNcG634NxeNx1yNymG9WtxzlA3rCfHpzKdynivYBwAzI4b4ZoXK0D1CH+1TRPuBiuO+89nxyQhv2NKqifVYx2gcAJclW1JzQnpcMl6N9gDrcV5TWjr8fjhLXFo7uwIGPtWNxBWM7lIGz/AybGFYDeoJwYrStsBt17yuCbxN9DL5JIbp8OQYHXAzCqYKAesE3vaifIsynu1aIyeVndqpDhYpwX16Ob1E/ZbSvUGc+wS5/jRXBv565Xf01DlD0MTVJjvYBwfl3CKN+2vgyKs/wZVRERERERBQQQ/KZDSIiIiIibzj8fOlbRv2IiIiIiIi8wGc2iIiIiIjcxPdseIYnG0REREREbuLJhmf4MioiIiIiIgoIdjYuMRCvRR2s+8XjERxrfd12emYWzoYITQqHXexoAOqWhm5Hw40Oxzmn0LvQaWWoWhqqjkbvXGppqDoaPXO5pZEY4UZHQ9HKSIhStDIUM0Dd0lB1NL6cCw2GWHVzwK3OhqKj0HpBXApjAtAqrDUq+gy92w5Ev0HVZwB863D43NlQ7JeqpaHXpPC5s+Hl3OcOi5ePya2vsWIeFSl3OAbi3z+DubNx1f+7x++djb9d80LQPV5/8ellVCtWrMDDDz+MJUuW4Omnn9a8TWVlJR566CEcOnQIVqsVo0aNwr333osf//jHrtuUl5dj69atl6299tpr8c477wAAtm3bhv/4j/9ATU0NTpw4gddffx033nijV/vNzsbgXRus+zVQj8ddjz6OLeHa/YbyTiu2hsnth1ldcitD1ckAeloY252KzgasqLRrz6eHWLGjS147PcyKHR3a82mRVuxqk9dOjbaiqll7PiXOiupz8trJCW3Ye0Z7XppkRc1JeW1xihX7jsutjOLUdrx/VGhljGxH7edyK6MovUNsaRSO7sD+T+R+Q8HYDrHvUHClTdkcyM+0ia0DQN3ZyCm0o26v/AthdqkTdfu0f6nLmuhQNzqK1P2GD/fLa3MK7WKHQ9XgAPQbDXnZnWKnIy9LnrnmwrZVHQ1A3dLIze1St1Ly1J0NZe8k34fOhl6jQ9HhUDU4AHWHIydP3ejIze1SzoenyB2Ogfj3z2DubJBnvD7Z2LNnD1544QUUFBQobxcbG4tFixahoKAAsbGxqKysxL333ovY2Fjcc889AIB169ahs7PTtebs2bMoLCzETTfd5PpcW1sbCgsLcccdd+Cb3/ymt7tNREREROQ1vmfDM16dbLS2tuI73/kOXnzxRTz++OPK2xYVFaGoqMj159GjR2PdunXYvn2762TDbDb3WbN27VrExMT0Odm45pprcM0113izu0REREREfuGEf9sYg/39DF69QXzhwoW47rrrMHfuXI/Xvv/++9i5cydmzZol3mbVqlW45ZZbEBsb683uudhsNjQ3N/f5ICIiIiKir4bHz2ysXbsW+/btw549ezxaN3LkSJw5cwbd3d1Yvnw57rrrLs3bVVdX4+DBg1i1apWnu3aZFStW4JFHHvF5O0REREREAF9G5SmPntk4evQolixZgjVr1iAqSn7DoZbt27dj7969+P3vf4+nn35afFPQqlWrkJeXh0mTJnm0fS3Lli1DU1OT6+Po0aM+b5OIiIiIiNzj0TMbNTU1OH36NIqLi12fs9vt2LZtG5555hnYbDaEhmpf4WHMmDEAgPz8fJw6dQrLly/Hrbfe2uc2VqsVa9euxaOPPurp49AUGRmJyEj5SipERERERJ7gMxue8aiz0dLSgs8//7zP5+644w5kZWXhoYceQl5enlvbeeyxx7Bq1Sp89tlnfT7/0ksv4Qc/+AGOHTsGi8Ui77TB4NWlb9nZGPxrg3W/gvV4pGdmoVHoaABAkqKlodvCcHrfwjCHBLCVEapoZShmQE9LQ2xlhHd73cpIiNRvYfRXK0Oa9c596jfodRSk3kW8XmfDKc6NCXprDfLaRLnfAVxseHjZb/Cl0aDXb1DNVR2NnrU6rQy9tarjEcjOhrffWz60VHzpjgBAZFRL0P0dws5GX72/R858+0cIi/XfP2Z3t9mw7evPBt3j9RePntmIi4u77IQiNjYWFovF9flly5bh2LFjePnllwEAv/vd75Ceno6srCwAPd2NJ554AosXL75s+6tWrcKNN96oeaLR2tqKjz/+2PXnw4cPo7a2FmazGenp6Z48DHY2BvHaYN2vYD0edz76OLZEyH2H2Ta5paHqaADArG4rtju05zMM6hbGtHArdnQqWhnhVuywCa2MCCt2WhXbjrZiV6v2vCzWit1N8topcVZUn9WeT05sw97T8tqSYXIro3i43MkAgKI0H1sZnypaGWM6cOAj7Xn+lTaxowFcbGlI7YdMnX5Ddqe6s5DXJfYwcgrtOLRXXIqsEuBQtfa/o2VNMuCQ4i2HWaUQt501CWK/AwCyip1ih0PV4AAudjj0Gg1CpyM3W5655sK2VR0N1/0K+63qaPTM5ZZGTr5+Z0PZNClQdDYUDQ7gYodD+N7KnuhGS0Vqh+R363dHFMc6ZTg7GzQ4+RT103LixAkcOXLE9WeHw4Fly5bh8OHDCAsLw7hx4/DrX/8a9957b591DQ0NqKysxLvvvqu53b1792L27NmuP99///0AgO9973t46aWX/P0wiIiIiIguw5dRecbnk40tW7b0+fM//uK/ePFizWcx/lFGRgZUr+gqLy9XzomIiIiIKLj4/ZkNIiIiIqLByuk0wOnHZyP8ua1g5FXUj4iIiIhoKHLA4PcPT6xYsQKlpaWIi4tDcnIybrzxRtTX14u3v/fee2EwGPD000/3+bzNZsPixYuRlJSE2NhYzJ8/H1988UWf25w/fx4LFiyAyWSCyWTCggULcOHCBY/2lycbREREREQDxNatW7Fw4UJUVVVhw4YN6O7uxrx589DW1nbZbd944w3s3r0bI0aMuGy2dOlSvP7661i7di0qKyvR2tqK66+/Hna73XWb2267DbW1tVi/fj3Wr1+P2tpaLFiwwKP95cuoiIiIiIjcFKg3iDc3N/f5vNSLW79+fZ8/r169GsnJyaipqcHMmTNdnz927BgWLVqEv/3tb7juuuv6rGlqasKqVavwyiuvYO7cuQCANWvWIC0tDe+99x6uuuoq1NXVYf369aiqqsLkyZMBAC+++CLKyspQX1+PzMxMtx6fR52NgY6djcG/Nlj3K5Br0zMz0SjENAEgye4QWxqqjgagbmmoOhoAYIG6haHXswhkK+N8l6KVIXQ0euZ2saWh28qIsqNZmMcrOhmA760MqYUBXOxhqFoZemt96Tf40EJQtjJMOp2N84q1ifLcmCg3OHrXBqLfAPihdxFkrYyAdzYUPZQ4k87XSW9tgB5TZDQ7G72CvbMx+Y37/N7Z2H3jf132+X/7t3/D8uXLddd//PHHuPLKK3HgwAFXisLhcGDu3Lm44YYbsGTJEowePRpLly7F0qVLAQCbNm1CRUUFzp07h8TERNe2CgsLceONN+KRRx7Bf//3f+P++++/7GVTCQkJeOqpp3DHHXe49fiG5DMb7GwM3rXBul+BXHvnY49hc7SilWFtx5ZI7fnsDrmjAahbGqqOBgDMhBU7OrTn0yOs2NWm6FkY1fOpMfK8LMaKqhb1tqsvCK0MUxv2NMprJ5mt2HtKe146zIp9x+RWRvGIdtR+pt3CmDBK7mQAF1sZnyh6F2PlVkbBeBsO1Gu3MAAgP7MTB+uEVka2PAOAvCy50ZCX06luDuR2qXsG+XILIWeCHXV75V/asoudcmej1ID6Koe4NnNKCA7tFtZOMSj7HpmTEJB+A6BuOOTmyS0MvXl/tTJyCuy6HQ1v5zn53erOxgS7/HUq0ml0FDmUfQ/dfVYcr+Qr2NkYKAL1BvGjR4/2ObnSelbj8rVO3H///Zg+fXqfFt5vfvMbhIWF4b777tNcd/LkSURERPQ50QCAlJQUnDx50nWb5OTky9YmJye7buOOIXmyQURERETkjUC9jCo+Pt7jZ3IWLVqE/fv3o7Ky0vW5mpoa/Od//if27dsHg8Gz/XQ6nX3WaK3/x9vo4RvEiYiIiIgGmMWLF+Ott97C5s2bMXLkSNfnt2/fjtOnTyM9PR1hYWEICwvD559/jgceeACjR48GAAwfPhydnZ04f77v60ZPnz6NlJQU121OnTp12f2eOXPGdRt38GSDiIiIiMhNvS+j8ueHZ/fvxKJFi7Bu3Tps2rQJY8aM6TNfsGAB9u/fj9raWtfHiBEj8JOf/AR/+9vfAADFxcUIDw/Hhg0bXOtOnDiBgwcPYurUqQCAsrIyNDU1obq62nWb3bt3o6mpyXUbd/BlVEREREREA8TChQvx2muv4c0330RcXJzr/RMmkwnR0dGwWCywWCx91oSHh2P48OGuK0iZTCbceeedeOCBB2CxWGA2m/Hggw8iPz/fdXWq7OxsXH311bj77rvx/PPPAwDuueceXH/99W5fiQrgyQYRERERkducfn7PhqfPbDz33HMAgPLy8j6fX716NW6//Xa3t/PUU08hLCwMN998M9rb21FRUYGXXnoJoZdc4fLVV1/Ffffdh3nz5gEA5s+fj2eeecaj/eXJBhERERHRAOFNteKzzz677HNRUVFYuXIlVq5cKa4zm81Ys2aNx/d3KXY2LjEQr0UdrPvF4+HZ2vQsuZWR1G33uqMBqFsaqo5G71xqaZgVHQ0AsITIrQx3OhvezlUdjZ653NJIjJA7GoC6pWGK8r6VoepkAG62MnzpXQSq3+BjR6FV6B0Yfe1snJP/2jOaDWg9rz3X72zIc2OC9/0GIHDNCrfW+tIOCdLOhvL7Q5j1zn1qdCjmkTGtA+7vrqHa2Sj68/0IjfFfZ8NuteH9b/026B6vvwzJZzbY2Ri8a4N1v3RbGY8/hk2x2v2GOa1WrzsagLqlMavLim0GRWfDIbc0ZsCKHZ3y2unhcgtjarQVVc2KFka8/ny32MqwovqcvHZygtzSmGSxouakvLYk2Yr3j2q3NCZeIXc0gJ6WhtTKUHUyADdaGRmd+KBO6F0oWhhAT+/Cp36D0A1Q9RkA/RZCTmE36vZpn0BlFzm872yUAPW77OLazKmhqN+l3eHInBoqbhcAsiYbxP3KKnWKbQegp8Oh14ZQNisC1btQfJ1UzYneffapSaEzF7ddqPe9ZUfdPu2vU/ZEpzgDgKxi+euo2+hQHA8AGDaKnY2BwgEDDPDjpW/9uK1gxKtRERERERFRQAzJZzaIiIiIiLwRqIL4YMVnNoiIiIiIKCD4zAYRERERkZscTgMMfnw2wp+X0Q1GPNkgIiIiInKT09nz4c/tDWZ8GRUREREREQUEn9kgIiIiInIT3yDuGUb9LjEQwzfBul88Hn2lZ2WiMUwR3lOE+5K6vY/2Aepwn8WpE+YzyHOzItoHAOZQRXgvVCe8F64/l8J8CeFytA9Qh/tU0T5AHe5TRft651KYL86ojvbFx7oR5uuv4JsPYTWvw2t6Ub8EJ1rPC7NEN6J+wlwV/OvZtiLqpxcETIAYMQR6HnMgYnJufR1UccVA7nN/RP30vrcSfQsCquYRsYz69Qr2qF/O2n/xe9Tvw1v+Peger78MyWc2GPUbvGuDdb/u/OVj2GTUjsEBwJyWdmyKkaJ+3kf7gJ5w33Zoz2c6rKjsltfOCLVih017Pi3Cil1Wee3UaCt2tWjPy2KtqBaifAAwKUEnzJdoRfVZIcxnbsPeM/La0iQ53FeSbMW+Y/LXqThVDvepon0AUDimAwcatOf5GTYcrFNE+zJt6jBfTpcYddOL5+mF17xeqxNWy55gV0buciYowmtFThzaKy5FVjFwaLcQ9ZukE/UrC0X9zm7t2bQwMfgHXIz+7RH2aRLUIcJSpxgxBICsiQ7fYnKqtaqvQ5FdjitOdARun30JBhZ2B+57q1T+OmaXqIOAesHApLGM+g0UfGbDM0PyZIOIiIiIyBu8GpVn+AZxIiIiIiIKCD6zQURERETkJl761jN8ZoOIiIiIiAKCz2wQEREREbmp55kNf75B3G+bCko82SAiIiIichOvRuUZdjYuMRCvRR2s+zUYj0dadiYawxW9i067OB/WJXc0AJ3Oht2h7mg45I4GAFggtzIsBv1WhjQ3h8gdDQBIDJNbGapOBuB7K0Oa9c6bOrTnJr3ORrTc0lB1NICLLY0W7Xm80fuOBqDuCqg6CYC6K+BO+8GXBoO3TQKjyam/1tvORqIBree0L29rtIToNzpU93tBXKrfaFA1PPTWKub9utbLRgeg3w7x+nveJDdaAF87G+rWSoSRnY1ewd7ZGP/KMoTGaF8G3Rt2awc+XrAi6B6vvwzJZzbY2Ri8awO57e+veAwbzXJHoeKsDRtN2j985p7vwCaj3H6Y02LF5iihs2FtV3c0OuWOBtDT0tjRpT2fHmrFznadVkab9nxqtBVVQkcDAKYY5ZbGZJO6ozEpsQ17GhVzixV7T8utjJoT8tqS4XJLY2JqO2o/l/8CKUrrwP5Ptb8HCkfLHQ0AyL/Shg/qtFsZeVmd+OCgoqOR24UP9yu6AYqWRk9TQD4Jyi5yyM2BYnX7QdVZ0GswqO63Z71T7hkUO8WeBQBklQD1VdonDJmTDerOxpQQNGzv0pxlzIwQGxwAkDktXL7fshAcqpZPVLImGdSPSdHpyC6Rj5VrLn2NFcdZb9s+3a/O95aq0QGo+yCqNkjPWof8mCY6xUYLAGRNMYhfR92vYSmUDQ/LlexsDBTOix/+3N5gxjeIExERERFRQAzJZzaIiIiIiLzB92x4hicbRERERETu4uuoPMKXURERERERUUDwmQ0iIiIiInf5+WVUGOQvo+IzG0REREREFBDsbFxiIF6LOlj3a6Aej7TsTDRGaJ+DJ3U69DsbYUJnQ9HRAICkbrml4UtHA1C3NMyhOq0MxVzV0QDULQ1fOhqAuqWRoNfKiJLnpmg7mq3y2vhoO5rbhFZGrNzRANQtDV86GsDFrsAF7ZlPPQvFLJBre+ZyS0PV0QAuthDOa//VZkww6LQygNazUmcjVGxw9MzlDofRrHe/cqMD6H1MitkFxdqEAH6NvW1SKLohftkv1VpFp8Wtx6T6Gnt5PFz3LcwjjG0D7u/jwdzZGLP6ZwjxY2fDYe3A4Tt+GXSP11+G5Muo2NkYvGt93fb3f/0o3kvSbiXMPdOJjYnyD5eKsx3YFK/db6hoasemGLn9UNEitzTc6mh0yvPpYXJLY1qU3NEAgLIYK6qatedT4qyoPi+vnZxgRfVZ7fkks/cdDUDd0ihJkTsaADBxRDtqj2jPi9La8ffD8te4cFQ7Dnyk/f1RME7uaADqloZbHQ1Fc6CnpSF0A4qcymv7Z5XI1/5XzQK51jUXmgVZJVC3ECYD9bukzkYI6ncoWhlTQ9CwtVNzllEeiYZKeW3GjHCxw5E5NUzd95gaJjY6gJ7+h/SYVe0H4GL/QdWG8HZtqUG/SSF9DRXdEEDd6AAu9kG8bYcoOi2qRgug7rRkTg3zutEBqI+1JVNucADB+ffxoO5s8GpUHuHLqIiIiIiIKCCG5DMbRERERERecRr8+6ZuPrNBRERERETkOT6zQURERETkJqez58Of2xvM+MwGEREREREFBJ/ZICIiIiJyl/Pihz+3N4ixs3GJgXgt6mDdr2A9HmnZmWiMlJ/QS7I55M6GTaez0aXobHTpdDbsDrGlYXF639EA1C0NVUcDULc0VB0NQN3S8KWj0Ttv6hBaGXqdjWg7moV5T0dD0dmIsaOlVfv7I87oRmdDaGn40tEA1C0NVa+iZ67Tbwhk+8GXbQsdjZ653LTomSlaGWaDorMRIs565qHqtcr7lRsdPesVj8mdhoeyDaFzLKVmieI4f7ltabu+dljkTofP3/Oqx6T4/lF1VgDfWioRcexsBIPe3yPTX/hXv3c2jtzzaNA9Xn8Zks9ssLMxeNfqzb//m0exMSVCXFtxslPubJzW6Wyc68CmOLmzsSVS7kbMtrZjm0HobNit2NGl6GiEWrHLKs+nRluxq0V7Xma0YneTopURL7c0VB0NoKelsfeM9rw0yYq9pxQdjRS5owEAJcPllsbE1Ha8f1TR2UhrR+1n2l/HCekd2P+J9tcfAArHdOBAg/Y8/0obPvhA0dnI7hRbGjn53airVXQ0CuWOBqBuaWSVQH1tf0UrIWuyTkdBMddtCug1GlTbVnQ0gJ4mhdi7KAtVtzKmhaJhi017Vh4pNjgAIGNWJBq2CY2OWRHq+50eru5/TA/zvuFRFqpoQ4Sqj2VZiNwsmRKi2w7xqQ0itDAAIKtUp/GiWqtoaag6GkDPY5a+jhkzwn1uqUhzcw47GzRwDcmTDSIiIiIirw2Z1wX5jm8QJyIiIiKigOAzG0REREREbnI6DXD6McTnz20FI55sEBERERG5i1ej8ghfRkVERERERAHBZzaIiIiIiNxmuPjhz+0NXnxmg4iIiIiIAoJRv0sMxPBNsO5Xfx6P9JxMNEZp/yuBpcOpjvp1yOG+pE67MuqnCvcldTtw1qAI8znsYtQvSSfqZza4EeaTon6KaB8AJCrCfAk6UT9VuC8h0o4LQpQPABKi5GgfoA73qaJ9wMVwn1UV9VOE+WIdYtQvPtaBlhb5X6fi4pzKqF+rIuqnivYB6gCa0eRr1M+H4JuXa11zbyN2qvCaWS/MpxP1a1SsTZLnxiS9+w10MFBxPAK1VhG5cy8mKI77Mfqodzy8CzP2rPf+ez4i3hp0fx8P5qhf2nPLERLtx6hfeweO/nB50D1efxmSL6Ni1G/wrgWAO//jEWwaof2tPfuYXR31O96FjRbtaFtFow0b4+VY3NwL7dgUox2iq2hpx5ZwOVJXbrNiu1OI+jms2Nkur50WYUWVEO0DgClxVuy+IIT5TFZUn1NE/RLbsKdRCPNZrNh7Wl5bOkwO95UkW7FPEe0rTpWjfYA63KeK9gHAhFEd+Pun2l/jwtEdOPCRHPUrGG/DwUPa3z/5GTZ8cFCO+uXmdonhvpzCbtTtk09ysosc6qjfRCfq9mrPs4uduoEzr+N5quCbYubWXBGMyywLFQN3vXMxvDYtTAzvAUDGzHA56jcrEg2b2uW1c6LRsKVDezY7Stwu4Idg4PYuee2McHGeMSNcJzYYJh9Lxax322KIcFqYzvdHqNcBvMwphsBFH6eHKY5lhNdhRkAdZ1SFGQHAnCdH/wbq3+VBjW8Q9whfRkVERERERAExJJ/ZICIiIiLyitPQ8+HP7Q1ifGaDiIiIiIgCgs9sEBERERG5yens+fDn9gYznmwQEREREbmLbxD3CF9GRUREREREAcHOxiUG4rWog3W/Ark2PScTZ+WrpsJihdzZaPehs9FlR2OYl50Nu35n45xTe26B750NuZUhdzQAICFCXqvqaADqloZuRyNK7mjozU2KjgYAxMfY0dwmdDZi7GJHAwDijA60tAidDaMbnQ2hpRFngtjgAHo6HNJa13rFtpUNj3i5w6FqcAAXewbKXoFeUyCAbQixSSF3NHrmOq0MVWfDEoLWRu3LkxqTQsWZr3PjsFDf+h8Ba4eE+tj38KVJodq2jy0Vca3cQnFt28vHrNvoUPz/FmGSGxxAcP4eEOydjZH/9ajfOxtf3PevQfd4/WVIvoyKnY2BvfauJ5dj6yj5F8KZh53YdIXQ2Thqx8ZkRWfjRBc2Jmr/AKk414FNcXL7oaKpHZujtM+C5ljbsTVU0dmwW7HdoT2fCf3Oxu4mdWdDamlMUnQ0AKA0SW5plA6zouakopWRIrc0dDsaI+SOBgAUjWxH7efaX6ei9A78/bD8l0Dh6A7s/0TobIzpwIEGubORf6UNH9RptzTysjrxwQH5R6qqs5Fd5BBnAJBd2K2eT7DLDY8JdnXDY4Jd7HBklUDdOphskLsAU0LVzYFpvvQM5G5Ez9pwuUkxM1zds5gZIbcyyqPUnY3ZUWjY2KY9q4gVZ27PN1kVMy/7H+VR4sw1F7adURGtPpblkT70PcJ1vn/CxLnu99a0UHG/M2ZGqI9lRbTcYSmPUjdcZkV4/Zh1Gx1l8vEwF8oNDiA4fw8gtRUrVmDdunU4dOgQoqOjMXXqVPzmN79BZmam6zbLly/H2rVrcfToUURERKC4uBi//OUvMXnyZNdtbDYbHnzwQfzhD39Ae3s7Kioq8Oyzz2LkyJGu25w/fx733Xcf3nrrLQDA/PnzsXLlSiQkJLi9v3wZFRERERGRmwxO/394YuvWrVi4cCGqqqqwYcMGdHd3Y968eWhr+/IfLDIyMvDMM8/gwIEDqKysxOjRozFv3jycOXPGdZulS5fi9ddfx9q1a1FZWYnW1lZcf/31sNu//Eek2267DbW1tVi/fj3Wr1+P2tpaLFiwwKP9HZLPbBAREREReSVAbxBvbm7u8+nIyEhERl7+bPv69ev7/Hn16tVITk5GTU0NZs6cCaDnJOFSv/3tb7Fq1Srs378fFRUVaGpqwqpVq/DKK69g7ty5AIA1a9YgLS0N7733Hq666irU1dVh/fr1qKqqcj0j8uKLL6KsrAz19fV9nklR4TMbRERERET9LC0tDSaTyfWxYsUKt9Y1NfW8Mc9sNmvOOzs78cILL8BkMqGwsBAAUFNTg66uLsybN891uxEjRiAvLw87d+4EAOzatQsmk6nPS6+mTJkCk8nkuo07+MwGEREREZG7AlQQP3r0aJ83iGs9q3HZUqcT999/P6ZPn468vLw+s7/85S+45ZZbYLVakZqaig0bNiApKQkAcPLkSURERCAxMbHPmpSUFJw8edJ1m+Tk5MvuMzk52XUbd/Bkg4iIiIion8XHx3t8NapFixZh//79qKysvGw2e/Zs1NbWorGxES+++CJuvvlm7N69W/MEopfT6YTB8OWJ1KX/Ld1GD19GRURERETkLmcAPrywePFivPXWW9i8eXOfK0j1io2Nxfjx4zFlyhSsWrUKYWFhWLVqFQBg+PDh6OzsxPnzfa9vfvr0aaSkpLhuc+rUqcu2e+bMGddt3MHOxiWCtSsxEPfLl7XudDQC2tkQWhrDuuWOBgAkdTvQGCJ0Nhx2nIWis+EMzs6GqqWh6mgAF1saUgtDr6MRrT+XWhqqjsaXc6GVEetQdjbiY+WWRlycU7+VIczj4p36jQ69uWrbOvsldjZM8gzo7XB42dnwocNhNBsC15UIUCvDmBSK1jPypUuNw8K8nvfb2uSwADY6vJ/rtjKUX+MQneMR7tvx0OuSqB5TgNoyEQkdQfd7QLB3NtKefMzvnY2jD/zC7cfrdDqxePFivP7669iyZQuuvPJKt+5n/Pjx+O53v4vly5ejqakJw4YNw5o1a3DzzTcDAE6cOIGRI0fir3/9q+sN4jk5Odi9ezcmTZoEANi9ezemTJmCQ4cOuf0G8SH5Mip2NoJ77V1PLsf20fIvRzM+c2JruqKz8ZkTm0YInY0v7Ng4TH4NZMWJTmyK1+47VDS1Y1OsfJYzp6UdWyK057M7rNgWIq+d1W1FZbf2fEaIfmejqkWel8WqOxt7z+h0Nk5pz0uS5Y4GABQPl1sauh2NNLmjAfS0NGo/055PGNWB/Z/KX+MCRUuj4EobDtbJHZb8TBs++EC7s5Gb04UPFZ2NnPxucZ5T0K1udOTrzPMU285XNzpyCrpRt0/7/7fsIicOVcsnBFmlQP0u7V9iMqeEeN0FAC62EqRGw7Qw/TaEL60MqWcxJ8brVkbGnBg0vKdYOzcWDRta5fnXjOJcNXPNhfvOmBurv1/S2nlx3vc9ZkeJvQrgYqPDy3nGrEj198esSMXXKRoNf2uR114V7/3xUDQ6AHWnI2NWRMDaMoklcoeDnY3gtHDhQrz22mt48803ERcX53r/hMlkQnR0NNra2vDLX/4S8+fPR2pqKs6ePYtnn30WX3zxBW666SbXbe+880488MADsFgsMJvNePDBB5Gfn++6OlV2djauvvpq3H333Xj++ecBAPfccw+uv/56t080gCF6skFERERE5JUAXfrWXc899xwAoLy8vM/nV69ejdtvvx2hoaE4dOgQ/ud//geNjY2wWCwoLS3F9u3bkZub67r9U089hbCwMNx8882uqN9LL72E0EtexfHqq6/ivvvuc121av78+XjmmWc82l+ebBARERERDRB674CIiorCunXrdLcTFRWFlStXYuXKleJtzGYz1qxZ4/E+XoonG0RERERE7grQpW8HK16NioiIiIiIAoLPbBARERERucng7Pnw5/YGM55sEBERERG5q5/fID7QsLNxiYHYpAjW/dJbm56TCeFqrDC709GQr5oKSzvQGKn9+sekDicaIxSdDZuis9Gl09mwO3DWILQynG50NoSWhsVgxzm7orMRqtPZCLXjfJf2PFGvsxHef50NqaMBqFsaqo4GoG5pxBnVnY04owMtLUKjwyg3OAB1K8MY7xS327NWvl+9+3ar/9EkzaDT2XCi9bwwS5QbHD1zdzocis6GXoNB6jsoGguAuocR2J6F9x2OwO6Xoivh6/162SxxzQNwrI1JYWg9LV9i1pgSjtbTUmdDPlau/VI9pmGh3vdhVE0TH77nIyyd7Gxcovf3yPTfPO73zsaRh34edI/XX4bkMxvsbPT/2rufXI7tY7Rn0w8D21SdjcNObEmTfxGd9bkDm1K1WwhzjnXjvSS5wTD3VCc2xcmdjc3Ris5GWzu2hGvPyzut2A557UyHD52NKCt26XU2LmjPJ5vasKdRXjvJHLjORu0Rnc6G0NEA1C2NgjEdOPCRorMx3iZ2NvIzbDh4SO5s5GV2ip2NvJxO/VaGsDYnT54BQG5ul3KelyPvl27/I69L7HDkFNhxaK+4FFnFQH2V1NkwiA2OnrlehyMUDZXa84xpoepewaxIsXeg6mj0zKPVTQpfehbvKvoN84w6fYc4ca6a+b42XtzvjHlx3h+Prxm9bpYA6m6J/tcpVj4eXzOi4f9dkNdemyjOM65NVH+Nr4pXP6a5Rvn7dk60ftPEl+954XglzjjDzgb5zKc3iK9YsQIGgwFLly4Vb1NZWYlp06bBYrEgOjoaWVlZeOqpp/rcpry8HAaD4bKP6667rs/tnn32WYwZMwZRUVEoLi7G9u3bfdl9IiIiIiIKIK+f2dizZw9eeOEFFBQUKG8XGxuLRYsWoaCgALGxsaisrMS9996L2NhY3HPPPQCAdevWobPzy7rl2bNnUVhY6KocAsAf//hHLF26FM8++yymTZuG559/Htdccw0+/PBDpKene/swiIiIiIjcZoCf3yDuv00FJa+e2WhtbcV3vvMdvPjii0hMTFTetqioCLfeeityc3MxevRofPe738VVV13V51kJs9mM4cOHuz42bNiAmJiYPicbv/3tb3HnnXfirrvuQnZ2Np5++mmkpaW5KopERERERAHX29nw58cg5tXJxsKFC3Hddddh7ty5Hq99//33sXPnTsyaNUu8zapVq3DLLbcgNjYWANDZ2YmamhpXKr3XvHnzsHPnTnE7NpsNzc3NfT6IiIiIiOir4fHLqNauXYt9+/Zhz549Hq0bOXIkzpw5g+7ubixfvhx33XWX5u2qq6tx8OBBrFq1yvW5xsZG2O12pKSk9LltSkoKTp48Kd7nihUr8Mgjj3i0n0REREREIl761iMePbNx9OhRLFmyBGvWrEFUlGeX/Nq+fTv27t2L3//+93j66afFKxCsWrUKeXl5mDRp0mUzg6Hv00xOp/Oyz11q2bJlaGpqcn0cPXrUo30mIiIiIiLvedTZeOONN/CNb3wDoZe0Bux2OwwGA0JCQmCz2frMJI8//jheeeUV1NfX9/m81WpFamoqHn30USxZssT1+c7OTsTExOBPf/oTvvGNb7g+v2TJEtTW1mLr1q1u7T87G1/d2vTcDLGjAQDmNoPY0rC409mIkk8yLR1ONEZqn0cndTjQGC5/jw7rtIudjSR3OhtCS8PitOOcorNhhg+djRCdzkZYADsbwqx33iR0OEyRbnQ2FPP4aEVnI1aeAeoOh6rBAag7HPGx6s6GqqURF+f9/brmvvQ/hA5HXLxT3dkwyXNjAsQGB+BGhyMhQJ0NvV6Bokmg6hEA/dzZENoPAGBMlueqmV/WBqDR4ZpL+zVMp5WRHI7WU53as5QIcaY3N6ZEeN3o6Nkv1fFyo+Ehrg1V36/ieBmTw9B6Uj4eESmOIdnZGPWrXyLEw390V3F0dODzh38WdI/XXzx6GVVFRQUOHDjQ53N33HEHsrKy8NBDD7l1ogH0PCNhs11+jfT//d//hc1mw3e/+90+n4+IiEBxcTE2bNjQ52Rjw4YNuOGGGzx5CADY2fgq1t7923/DjrHiUkz9BNgutDRmfObE1nT5F6uZnzmxeaT8rVt+1I6NKdrNgYrj3dhoUXQ2ztiwyajdf5jT3I7NUerOxtZQobPRbcV2h7x2BqzY0ak9nx5mxS6rvHZqlBVVis7GFKOPnY3TcmejRtHZKFF1NlLb8f5RubMxUa+zka7obIy1Yf8nis7GWLnDoWpwABc7HHXaHY78TJuyhaFqaeTmdYnbBYC87E71PKsTH9QJ/Y+sTnxwUN3wkDsb3ajbJ5+oZBc5caha+4Qhq9SAQ7vlk4msyVB3OCYb1J2NrfIvQBkzI9CwpUN7Vh6l7hXMjhJbCKq2A6DuO2R8zRi4zsa8ODSsF8qMADKuNonzjKtN6q7ENQnqtar7vcYUkDYIcPExS70Lvcd0tQn175zTnGVeZ0b922fFtZlft8hrr7eg4R35DDvjerMPx0vunQAXj4fUQ/maUX2/V8XLx/KqeNS/eUZca76uY0h2NgxOP1+NapC/jMqjk424uDjk5eX1+VxsbCwsFovr88uWLcOxY8fw8ssvAwB+97vfIT09HVlZWQB6uhtPPPEEFi9efNn2V61ahRtvvBEWi+Wy2f33348FCxagpKQEZWVleOGFF3DkyBH84Ac/8OQhEBERERHRV8TvBfETJ07gyJEjrj87HA4sW7YMhw8fRlhYGMaNG4df//rXuPfee/usa2hoQGVlJd59913N7X7729/G2bNn8eijj+LEiRPIy8vDX//6V4waNcrfD4GIiIiISBvfIO4Rn082tmzZ0ufPL730Up8/L168WPNZjH+UkZEBvbeP/OhHP8KPfvQjT3eRiIiIiIj6gd+f2SAiIiIiGrT4zIZHeLJBREREROQmvkHcM14VxImIiIiIiPTwmQ0iIiIiInc5DT0f/tzeIOZR1G+gG4pRv3H549Fukq9HH9UUgbZ47WvZxzSFoyVOO24FAMaWMFwwal8n39QSgnOx4lIktqqjfo1yggFJ7YGL+iUpon7D3In6GYQwn8MuBv8AwOJL1C9UJ+qnmKuCfz1zOfqXGKEf9bsgRP0SonSifnpzRfQvPtqOZqte1E9Yqwj+AeronyqsB1wM9wUy6udlbFA36idfnh9GE+Son2IGAMYEnWBgAtB6TvuvJ2OiHPwD1NE/VfDvy7ki6ifMXPOARex0th2oMJ8y+BauH8/zZa0vcT29tUKozjg8XBmxMw5XrZVn7s0jAxcbVN6v/JiNKRFoPaHdrAGAiFQMyajfmEd+5feo3+F/ezjoHq+/DMlnNoZS1O+B6Q/h2ETtABEADK9JwqeFzZqzUe8n4IM8q7g284AR+zK1/7IorIvErnHyX+iTPwoVo37TDzuxJU3+ZbH8iAObRsjfurOP2bExRTuAVnG8Sxn1qzhjw6Y47TOdiqZ2bI72Luo3y2HFdshrZzqsqOzWns8IsWJnu7x2WpQVuxRRvzKjFbubhKhfvBXVitT75IQ27D2jPS9NsqLmpLy2OMWKfUL0r1gR/AOAiSPaUXtEnhely9G/CaM68PfD8l8ChaMVQcAxcvAPuBj9qxeifhlyWA8AcrO7xHluThcOHlJH+3TnqtigTtTvw/3a/7/l5nejbp98kpNd5EDdXu3/j7OLnTi0V1yKrBKIQcDeef0u7V/sM6eEoGG7/ItqxvQwMfqnCv4BQMasSDRs0v65lzEnRgz+ueZC9E8V/AN8i/4FNOqnmGdck6CO2F2XKM5VMwDIuDZBjOcBF+N73ob5rreg/u1G7dnXLcqIXeYNw8R55g3DUP/GaXntjcnqbd+YLO63KiYI6ByPa83i43VtW9jvzPlJOPTn4+Jayz85h2TUj28Q98yQPNkgIiIiIvIG3yDuGb5BnIiIiIiIAoLPbBARERERuYsvo/IIn9kgIiIiIqKA4DMbRERERETu8vN7Ngb7Mxs82SAiIiIichdfRuURdjYuMVA7G+Pzx6E7UftSjqHno2BLkK+vHXEhElahsxGl09mIa1Z0NlpDoLiiKhLbdDobuh0NeZ5k87GzIcx1OxvdDjSGaM+T9DobTjvOOYXOhqLBAQDmEO87HKoGB6DT2Qh3o7MhzFUNDsC3DoeqwQGoOxyqBseXc0XPwssWhi8dDb25r52NFkVnI84Eca6a9c6VnQ2T3OFQNTgAdYdD1eAA1B0OVYMDUHc43Gp0BKzh4WP/Q9XoUK4ND1x3JClU3fBQNikUXYnhEWg9YZPXpkaKc+Nweaa3VnfbI3xY685+Hdf+HcI4Igotx9rFtZFXGIZkZ2Psz3+FUD92NuwdHfj0cXY2BpXB1tlYNvNBtEzSvg529O6ROFUsX1/bsicFhydo/0Ywcl8iDubKP2SyD8Rib6b2XwZFdRHYOU7+ZWDKxwZsHaX9y9HMw05sHil/a5Yf7camEXI3YM7xbu87G402bIzX7jvMvdCOTbGKzkZLO7ZEaM9nd1ixzSCvneWwotIudDYMVuzoUHQ2Iq3Y1SbPp8bIHY4yoxW7L8hrp8S3YU+j9nyS2Yq9p+W1Jclyh6M4xYp9x+WORnFqO94/quhsjJQ7HKoGB6DucBSO7sD+TxSdjbEdONAgNDqutHndysjL6hT7HQCQn9kp3i8A5GfI952fYcMHHyg6Gzld+PCA9v9vOXldqKuVT76yJ9jFefYEO+rel9fmTLCjbp98EpRd5BQ7HFklQP1O+RfRzLJQscOhanAA6g6HqsEBXOxseNvoqIjVb3gInQ6fGh1XxYmznrVywyPjGpN67VXx4n5lzIvT2Wed+dxYuf9xtUndpLg2UW5lzE/CoddPiWuzvpGCQ+tOCrPhOPR/J+S130z1ep71rVTxfgEg65+Ge79f/zQcdX/S/qU/61sjUPfHo+LaYd8OZWfDX9sbxPgGcSIiIiIiCogh+cwGEREREZE3GPXzDJ/ZICIiIiKigODJBhERERERBQRfRkVERERE5C6+QdwjfGaDiIiIiIgCgp2NSwRrZyOzYAwMZvmSiPZzRjgStS9RazgXg84E+fraYReivO5sGH3obJj1OhvRis5Gu4+djQj5HDvJJnc4hnXZ0Rim6GwoOhxJdofXnQ2zQd3ZsOjMVR0OVYMDuNjh6FJ0NoQGBwAkhCsaHRFuNDq87HCoGhyAusOhanAA6g5HfIzdp86G1O8AgHijI2D9D1WHQ9XgAC52OFSNDi/X9s7FzobJidbz4lIYE+UOh6rBAag7HEZLiH6jIwBrXXOp/5Ekz75cq+h/eNm7MA4L8747MixUvc/uPCZxv3QeU1KY2OFQNTgAdYdDt6PhY+9Cmn051/49wDgiWtnKiLtCnsddoe5sqNZGXhEyaDsb43/q/87Gx79mZ2NQGWidjUfKlyB02sfivKsyE7YpRzRnITvH4FypfM1w4+4rvO5sZB2Ixd4MobNxKAI7xopLMfUTyJ2Nz5zYPFL+xar8iN37zsaJTrw3TO4VzD3ViY2J2j9A5p7rwCaj3H6Y09yOLZFCZ8Pajm0his5GtxXbHYrORqe8dnq4Gx0Oq/Z8arTc4ACAslgrqoUOx2STFdXSGSOASeY2scNROsyKmhPy2uLh3nc4VA0OQN3hmDCqA3//VP7+KBxjw4GPhc7G2A79VoYwz8vqxIGPVB2NTvF+ASB/nPf9D1WHIzenCx/uV7QyCuxyoyO/W3etquGRU9AtdjiyJzhRXyX/Ipo52SB2OFQNDkDd4ciYFaFudMyKQMMW7V8mM8ojxZlb81mRcv+jPAoNm+Sf1Rmzo8SGh6rfAVxseEh9j3lx+u0QqTtSEave5znR6nl5JBreEx7T3Bh1/2NurNjhUDU4AHWHQ9Xg6Jl737vIvukKcdYzH4G6//1Ce7s3jVS2MrK/nSbOs789EnVrtX+/AIDsW9LF+bBbwgdvZ4M8MiRPNoiIiIiIvDZkXhfkO55sEBERERG5i28Q9wjfIE5ERERERAHBZzaIiIiIiNzEgrhn+MwGEREREREFBJ/ZICIiIiJyF9+z4RF2Ni4RrJ2NrIIxCLXIlybsPhsHCB0O+1kjuhPla3OHno9Gu0n7MpCRFyLQEu9lZ6NF3dlI1O1syGuT2oHGKEWHo0PucCR1yA0O4GJnI0JoZdjUnY1hep0Ng7qzIXU4VA0OwLcOh6rB0TuXOhyJYXKDo2fuY2dDZ94kdDh0OxuqRoePnQ1vWxnxsfJ2XfNA7Zeiw6FqcAAXOxyqRoeXa11zRcNDanAA6g6HqsEBXOxsKBsdirUWxVrFdt3atlnugxjNeo0ORTvELDc4AD+0MsTuSKiP3RFfHlMIWk8r2iFCgwNQdzhUDY6euRudjRNCZyPVnc5GYBod0gwAIkYYAvJ7UbB3NjIe/BVCI/3Y2bB1oOEJdjYGlYHW2Xh89n2ImV4nzpu358Iw9RPNWXdlJlomHRfXRlal42iR9t/KKTVJqMuTr6F+5f447MvUPlEp/DASO8fJf3FO+diAbaO1f5GYcdiJLWmqzoYDm66Qv3Vnf9GNTana3QBVgwMAKk524T2Ldq9g7mkbNsXLZ0EVF9qxOVr7DGpOWzu2hMtnX+WdVmyH9nym04pKu6KzEaLf4djZLnQ2oqzY1SavnRptRVWz9nxKnBXV5+W1k01t2NOoPZ9ksYoNDgAoSVZ3OEqGW7HvmPbXYuIIucEBXOxwfK79l0RReofY4AB6Ohz7hQ5HwRi5dQH0dDb2fyKsHWcTt9s71+t/KPdL0fAoGC93OFQNDgDIze2SGx2KmWt+UD2XOh25eXKDA1B3ODInG1C/S/5FNLMsVNHoCEP9DjkWlzk9TF47VZ65te1poWio1J5nTAtDwzZF/2NmuNz/mBkhtjCAix0OqdEx1yi2P4CLfQ+xWRKps88Rvj0mVf9jdjQa1mv3pTLmxaH+7bPi2szrzWKHQ9XgAICsG1PUnY1vDsehP2v/fZ31zRE6nQ25w+FLoyP75pHiDACSbgoJyO9FNLgMyZMNIiIiIiKv8GVUHuEbxImIiIiIKCD4zAYRERERkbv4zIZHeLJBREREROQmdjY8w5dRERERERENECtWrEBpaSni4uKQnJyMG2+8EfX19a55V1cXHnroIeTn5yM2NhYjRozAP//zP+P48b4XILDZbFi8eDGSkpIQGxuL+fPn44sv+l4Q4Pz581iwYAFMJhNMJhMWLFiACxcueLS/PNkgIiIiInKXMwAfHti6dSsWLlyIqqoqbNiwAd3d3Zg3bx7a2nquwma1WrFv3z784he/wL59+7Bu3To0NDRg/vz5fbazdOlSvP7661i7di0qKyvR2tqK66+/Hnb7l1fsu+2221BbW4v169dj/fr1qK2txYIFCzzaX3Y2LtFfnY2cwlGItlwQ11rPJiLC0izOOxpNYoej+2wcHInyNbKd52LQmaB9ecHwC5Foi5cvxRjdFIEmobMR3xKC87Hyt1ZCm0HscJgVDQ6gp8OhN2+M1r4spqVdbnAA6g5HUocDjeFedja6HWgMkdcmOdSdDWkGABaoOxuqDoclkJ2NcLvY2UgIlxscgJsdDqGzkRAlNzgAwBSp09lQNDriFR0OVesCULcy4mPcuF9f9kvV6IiWOxyqBgcAxBkdaGnRnsfFubHWy23HGx1igwNQdziMJp1GRwLktQkGH9a6cb9CGwS42Ac5LzQ8EtxodIi9C4N+K0OYG5PcaGWo2iBe9k6+nEvb1nlMlhC0nhE6G0mhaD2tfUl3ADAmh4sdDlWDA/Ctw9HT4NBrdKjWKjobqVFe9z0iRmBIdjYyl/q/s1H/tPedjTNnziA5ORlbt27FzJkzNW+zZ88eTJo0CZ9//jnS09PR1NSEYcOG4ZVXXsG3v/1tAMDx48eRlpaGv/71r7jqqqtQV1eHnJwcVFVVYfLkyQCAqqoqlJWV4dChQ8jMzHRr/4bkezaCrbPxxJwfIH12tbj2081lGDazVpwf31qMqOmHNGfN2/LQWfa5uNa5YxxOl5zWnCVUp+LjghZxbfr7idiXpf2DtfDDSOwaL/+wn/xRKCrHaM+mfQpsHSX/EjLrcwe2psvzmZ87sXmk9i9X5UfsYoMDuNjhSNZuDlSc6MLGRPmHy9yzHdgUK3Q2WtqxJVI+Q5rdbsXWUO35rG4rtjvltTOdVlR2KzoboXKHY3q4FTut8tppUVZUtQidDaMV1RdUnQ0rqoUzykmJcoMDuNjhOKXucOw7rt3SKB7RLjY4AGBiqtzhmJjWrtvZkHoXhWNsYkcD6OlZ/P2w9rYLx+r0PUbr9z+k+YTR8j4DQOFoucOhanAAQF5mJz6oEzobOV3qtVmdOFinnkudjrzsTnx4QP7rKze3C3V7tU9GsoudOLRHXIqsUuBQtfYvuVmTDDi0V7G2BOI8qwTq+y0BDu2Wf7nOmgzU75LaISHqRsfUULFZkTEjXN3KKI8S5xmzo9UtjFkRchtkerhOV8SN7sh27ZOCjGlh6sc0MwING7T/gS6jIgYN/++CvPZqk9jhyLzejPo3tP8+BYDMG4Z53eHI+maqTqNDnqv6HQCQ9a0RXvc9kr6FodnZCNAbxJub+/7DcmRkJCIj5Z/fvZqaeroxZrNZeRuDwYCEhAQAQE1NDbq6ujBv3jzXbUaMGIG8vDzs3LkTV111FXbt2gWTyeQ60QCAKVOmwGQyYefOnW6fbPBlVEREREREbup9g7g/PwAgLS3N9d4Ik8mEFStW6O6L0+nE/fffj+nTpyMvL0/zNh0dHfjpT3+K2267zfXMycmTJxEREYHExMQ+t01JScHJkyddt0lOTr5se8nJya7buGNIPrNBRERERBRMjh492udlVO48q7Fo0SLs378flZWVmvOuri7ccsstcDgcePbZZ3W353Q6YTB8+czwpf8t3UYPn9kgIiIiInJXgN4gHh8f3+dD72Rj8eLFeOutt7B582aMHDnysnlXVxduvvlmHD58GBs2bOhzIjN8+HB0dnbi/Pm+bxY7ffo0UlJSXLc5deryl/6dOXPGdRt38GSDiIiIiGiAcDqdWLRoEdatW4dNmzZhzJjL3wTbe6Lx0Ucf4b333oPFYukzLy4uRnh4ODZs2OD63IkTJ3Dw4EFMnToVAFBWVoampiZUV3/5vuLdu3ejqanJdRt38GVURERERERu6u+o38KFC/Haa6/hzTffRFxcnOv9EyaTCdHR0eju7sa3vvUt7Nu3D3/5y19gt9tdtzGbzYiIiIDJZMKdd96JBx54ABaLBWazGQ8++CDy8/Mxd+5cAEB2djauvvpq3H333Xj++ecBAPfccw+uv/56t98cDvBkg4iIiIjIfQG6GpW7nnvuOQBAeXl5n8+vXr0at99+O7744gu89dZbAIAJEyb0uc3mzZtd65566imEhYXh5ptvRnt7OyoqKvDSSy8h9JLL+L/66qu47777XFetmj9/Pp555hmP9pcnG0REREREA4ReIm/06NG6twGAqKgorFy5EitXrhRvYzabsWbNGo/38VKM+l0ikFG/3MJRiEnSLjZZGxPFGQC0NZoRpYr+NSYg3KLdw7CdNQHmNnGt46wRXYnaIaDQ81FoV0T9IpvC0RInRJWaQ3FBCP4BQEKrHP1TBf8AN6N/QmbB0g40RslXULDoRf0iFGE+mx2NYdpzVfAPAJLsDpw1eBn1c9pxTjE3K6J/FoNO1C9UnquCf4A6+peoE/VLUAQBAXX0TxX8Ay5G/6Son2IGXIz+eRvPi1Hcr2LWe7/Kueox+RIEVAT/AHX0L87o0F3ry7ZVQcD4WAdaWrT/P4+Lc+oGAaW5aubW2iZxKeJMchAQUMcIdYOACRADeUYz9MN8YhAwVAzrudaK9+tOtE8xT5Tnuo/JHILWRrv2LCkEraflv/eMw8J8i/p5Gf0zpkZ6vW3dmKAiCBgx3NkvseNgj/pl/8j/Ub+6Z72P+gW7IfnMRn9E/X5bcS/Gzq7SnH26eYo4A4CPNk3FiPIacf755kkwzTyoOTu9dQIw9VNxbVdlJs6XaoeAYqvS8FnRBXHtiBoLDuRo18mzD8Zgb4b8A7u4PlyM/qmCf0BP9G/baPkv/JmHndiSrv3L06zPHdg8Uv62Lz9qx8YU7ZBYxYluvGeRrwwx97QNm+K0z3IqmtqxOVo+Q5rT1o4t4drz8k4rtkMR9YMV2x3yfAas2NElRP1CrdjZLq+dGm3FLiH6N1UR/APU0b/JJnXUr9Rixd7TivkwK2pOas+LU+TgHwAUK6J+RSPbUfu5/BdIUboi6jfWpgzvFY7pQO0R7fudMEreJwAoStOZjwxQqFAR/AN6on8HGrTneZnyDADyM9TzgivleX6GTRkEzM+04YODQmwwt0sZBMzJ70ZdrfbPj+wJdny4Xz5xyymQ56rtAkBOoR11++Sfa9lFcowwqwSor5J/uc6cZBADeZlTQ9CwVSfMJ8wzyiPFaB/QEwys3yndbxjqd2n/wg8AmWWh6vmUUO8f04xwNGzU/ke4jNnR6qjfVfGof+ec9v1em4j6N8/I+3zDMK+jf1n/NFy99sZkca4bE/xGCg6t024mWG7o7pfYMQ0uQ/Jkg4iIiIjIG4aLH/7c3mDGS98SEREREVFA8JkNIiIiIiJ39fPVqAYanmwQEREREbmpvzsbAw1fRkVERERERAHBZzaIiIiIiNzFl1F5hJ2NSwSys5FXmA5jkvbl8loaLYgVZgDQ2mhGtLKzkYhwS7PmzHY2QdnZsPvc2dC+NGFcS5iys2FqCXBnQ5hbrEBjtKKz0e5EY6T2PKnDicYI+cnAJJsDjeFedja6HTgbIrQwHHaxwQG41+GQ5hZFgwO42OEQ5uYQnUaHosORGKbuaCTodDh0OxvCrHfeJHQ4TJG+dTaUa1WdjWj9NohuO0R6THrtEL1Gh047pLlNOB6x8szXue7aGLkPEsi+h2quan8A7vU/WoVOhzHeqe5sJCo6G4kGdSvDHCLOe2aKFoZF1cIwoPW8TkdDb656TMp2iAGtjVI7xIDWM4rORlIYWk93ac+Sw8UGBwAYU/Q6G3Knwzg8Un/bYv9DngFARLI9IK2MwdzZyL3X/52ND55nZ2NQ6Y/Oxn9W3I3MOZWas7pNMzBu9i5xbcOmaRhZvlecH948GYkzD2jOTm6dCMPUT8S1XZVZPnQ2zDiYK3U2YrEvU/sHMgBMqItA1ZXaP+wnNYRix1hxKaZ+AmxXdDZmfObE1nTtv/Bnfu7E5pHyLynlR+zYlKp9ff45x7rx3jBFZ+NUJzYmaP/wmXuuA5ti5TOkihZ1Z2NrmLx2VpcV20IUHQ67Fdud2vOZTrnBAQDTw6zY0aE9nxZpxa42daOjqll7Xma0olpxRjkpUd3hmKTocJQkW1FzQl5bMtyKfceEJoWiwQEAE0fKzQpVRwPoaWlI91s0sl3ZBpk4Qj0vHiFve+II/UaH1BYpSu/A3w8r2iGjO3DgY6GFMd6G/UK/AwAKxno/Lxhrw/5PVGvlPki+ot8B6Pc9DtSr+h6dYv8jP9OGDz7Q/tkCALk5XcqGR25+N+r2af9cyy6049Bu+RfzrEkQmxWZU0LQsF3+WZ0xI1ycZ8yIEFsXAJA5XW5pZE4NRf0uRRukLEQ9nxIiNzymhKJhm05nY5P2310Z5RFo+Jt2JBcAMr5mFDscGVebUP/2WXmfr7eg/u1Gef51i9jpyLwxWb3tr1vEuWoGAOar2wLSyhj0nY0h80/1vhuSJxtERERERN7gG8Q9wzeIExERERFRQPCZDSIiIiIid/EN4h7hMxtERERERBQQfGaDiIiIiMhNfM+GZ3iyQURERETkLr6MyiPsbFzCl2tC5xemIz5JvqRdU2MS4pK0Lz3X3JgkNjgAoEWns9HWmIhwi/al+mxnTXAmWsW1znOx6EzQ7myEXYiCVdHZiGoKR0uc9qUJ45pD1Z2N1gB3NoQrfVragcYoRWejQ6ezEellZ6NTp7Nhl+dJ3XprHV53OCxOO845Fa0MRWfDYtDpbIQqOhuhdpzvUnQ0wr3vcKgaHMDFDofQpEhwo0nRLMx1OxuKlkZClBv77OVc9Xh771vsbOgdD53uiG6jQ7Ht+Gh1/0Nvv5TtEJ37Fb/GvnRHYuz6jY4WRf/D6BA7HHFxDrReEJfCmACxw6FqcPTMFT0LRUcD6G1pKO5Xrw0SsHaIqrMRou5sDAtF62ntuXFYmNctDNdc1fAQZj1rw+X9Sg4TZwAQkdTFzoaben+PzL/zVwiN8GNno7MDB1axszGoBKKzMa3iThRUbBHX1m6cjdyKbZqzAxvLceWcHeLauo0zlJ2NTzdPgWnmQc3ZqS1FcEw9LK7tqrwSjaWnNWfxu0fg8AShIgVg5D4zDuRoX6s852AM9mbKP9wmHgrHrvHaP+wnfxSKyjHiUkz7FNim6GzMPOzElnTtv/Bnfe7A5pHyt3350W65s3G8GxsVnY2KU53YmCh0Nho7sMkonyHNabViU4z2fE6bFZujFGutcqMD6Ol0SB2OWd1WbHfIa2cYrNjRqT2fHmbFznZ57bQoK3a1CJ2NWCuqz8trJydYUa04o5xkbsPeM9rz0iQr9p5SdDaSrWKzotjHzoZq7YR0uZUx8Yp2ZRukONWKmpOK+XC5LVI8XH68PduWH7OqwQH0dDik4zFhtDwDgAlj1PPC0R3ifU8YJc/05kWjdPZLsd8TRul3R6T+R+GYDmXfI/9KdYcjL7sTdbXaP9dy8h04tEdciqwSoL5K++dt5mSD2MIAepoVUksjc3qY2LoAgMxp4fL9TgkRZ27NJxvkzkZZqLodMi0MDVs6tGczI9DwnhzCzaiIQcN67b8XM+bFof4d+R8OM68zq1sZ85PQ8I72GVbGdYli3wMAMq6V5xnXJIj7DACJs8+zs+EhvozKM3yDOBERERERBcSQfGaDiIiIiMgrfM+GR3iyQURERETkLp5seIQvoyIiIiIiooDgMxtERERERG7iG8Q9w2c2iIiIiIgoINjZuER/djZiFZ2N1kYLohSdDWtjIkKFzkbX2Xg4ErUvTwv0dDZsJu3rfodfiESrorMR2xyGJqGlEd8SivNG+VsroVVuabjT0VC1MpI6nOJc1dEAgCSb3NJI6nCgMULR2eiUOxtJnXZxBgBJXXY0hgmNDr3Ohg8dDotDbnAAgAU6nQ1hBgDmELnDYQ6RGxwAkBim0+EI67/OhthvCObOhs7aJmG/dDsbquPhQwsDUB9PU7S8z737pTzWOt0R5feH6n4jdfoeqkZHtLrDER/rQEuL1NlwqjsbJnmuanAAOj0LRUfDtTZYOxtnhc6GOQStjfKlgI1JcofDOEzds+iZ+9DKUPY/wtX7pVgbYelkZ8NNvb9HFv6z/zsbf3+ZnY1BJdg6G/s3lmPc7F3i2vpN0zGivEacH948GcYZH2rOzm4tRGfZ5+JaR+V4nCjWPkky70lBQ0GruHZsbTxqs7VPVPI/jEL1lfIP7JL6MLGlMe1TYGu6/JfuzM+cylbG7C+6sWmE9nz2MbmjAQBzTnRjY4r2vOJEF95TdDbmnu7ERov2vKLRJjY4AKDiXAc2xWu3Diqa2tWNjhb9DsfWMKGz0WnFdshrZzqsqOzWns8IVXc2pkZZsatNez412oqqZnntlDgrqhVlx8kJbdjTqD2fZLFi72lFZ2OYFfsUTQpVK0PVnZgwugP7jqnXSvc7cYROGyTF+3lJitzgAICS4VZxvyeOUHdHlMfDjRaGctvpiv5Herv6WF+haJqMkL8OADAxVdFhGaG+34mp7ag9IuxzWjv+/qn882PCKHWHo2B8Bz44oP1zLS+nC3X75H9EyS5yih2OrBLg0G75H4ayJkHscGRODdNtZUjbzppsUN/vZIN+Z0Parykh6s7G9DA0bNGO2WbMjEDDRkVnY040Gv6m/Y97GfPi1C2Mq03etzKuTRDvFwAyropHw7uK/dog/12eOOMMOxseMjidMPjx3+r9ua1gxJdRERERERFRQAzJZzaIiIiIiLzCS996hM9sEBERERFRQPCZDSIiIiIiN/HSt57hyQYRERERkbv4MiqP8GVUREREREQUEHxmg4iIiIjITXwZlWcY9buEz1G/YYqo35kkxAtRv6bGJMQkyfWi1kYzIi1N4ry9MQEhZu1raHefi4ddEfUznItBu0n7euSRFyLQEie3MmKbw3BBiPqZWkPEaB+gDvdZrMBZ+VL2sLQHOuqnPVcF/3ru1yEHAW0+BgGF4B8ADOtyI+oX4mXUz2nHOacQ5lME/wDAoor6hepE/UJ1on7hdjHqlxAuB/8AdfRPFfzrnQ/GqF9AIoc+RPt613t7vEyRiu+PCHmmN9dbq/zeitB/vM1t6rkq6tci/xWBOBPkqJ8i+Aeoo3/GRHm7rrXS/Spmevfruu9+ifqFKuJ58qxnrhP9S5bnxmQ52ufatrDfxmGhaG1UHI+kEHEekdjBqN8len+PnHjrL/0e9dv3h58F3eP1lyH5zEZAon5z70RRxSZx7b73KpBfsVV7tnEOxs6uEtfWb5qGlFnvi/Mjm0sROb1Bc2bbnou2yV+Ia0N3jsHRIu2f6Cl7k/BBnlVcm7HfiL0Z2j/8ig5FiNE+oCfct2209l+cMw87sSVd/kt31ucO36J+IxRRv+Nd4nzO8W5sHC6vrTjRhY0pEdqzk514L0kRBDzTKUb/Ks52YFOcfPZV0dSOzTGKqF9bO7aEa8/LbVZsM8hrZzmsqLRrz6cbrNjRKa+dHm7FTqv2fFq0Fbta5LVlsVZUX1BE/UxWVAtnq5PMbcqoX+kwK2pOClG/FDnoBgDFw30Izfka9VOFCpPleUmyzraTAxQ51Iv6jVZH/SakK8J8V7SLX0OgJ8ynPB5n1NFHKRhZmqT+OpQOkwOKJcnqYznxinbs/0QV/WvHBx9o//zJze5EXa38MzOn0I66vdo/b7OLnThUrYjrlcrxvawpBjEW2LMWckywFF7fL6ATG5wSgoZK+RfzjGmhaNiqHaTNmBGOhk2Kv/dmRyvieUZ1eG9eHBrWy2eFGVebxHnGNQloeE8RG/yaUdzvjIpYNGyS/9ExY040GrZ0aM4SJx1j1E8L37PhEb5ng4iIiIiIAsKnk40VK1bAYDBg6dKl4m0qKysxbdo0WCwWREdHIysrC0899dRlt7tw4QIWLlyI1NRUREVFITs7G3/9619d85aWFixduhSjRo1CdHQ0pk6dij17FP+kQkRERETkZ73v2fDnx2Dm9cuo9uzZgxdeeAEFBQXK28XGxmLRokUoKChAbGwsKisrce+99yI2Nhb33HMPAKCzsxNf+9rXkJycjD//+c8YOXIkjh49iri4ONd27rrrLhw8eBCvvPIKRowYgTVr1mDu3Ln48MMPccUVV3j7MIiIiIiI3MeXUXnEq5ON1tZWfOc738GLL76Ixx9/XHnboqIiFBUVuf48evRorFu3Dtu3b3edbPz3f/83zp07h507d7reuD1q1CjXmvb2dvzf//0f3nzzTcycORMAsHz5crzxxht47rnnxH2w2Wyw2WyuPzc3N3vzcImIiIiIyAtevYxq4cKFuO666zB37lyP177//vvYuXMnZs2a5frcW2+9hbKyMixcuBApKSnIy8vDr371K9jtPW/+6u7uht1uR1RU3zcbRkdHo7KyUryvFStWwGQyuT7S0tI83l8iIiIiokvxJVTu8/hkY+3atdi3bx9WrFjh0bqRI0ciMjISJSUlWLhwIe666y7X7NNPP8Wf//xn2O12/PWvf8XPf/5zPPnkk/jlL38JAIiLi0NZWRkee+wxHD9+HHa7HWvWrMHu3btx4sQJ8T6XLVuGpqYm18fRo0c9fbhEREREROQljzobR48eRUlJCd59910UFhYCAMrLyzFhwgQ8/fTTyrWHDx9Ga2srqqqq8NOf/hTPPPMMbr31VgBARkYGOjo6cPjwYYRe7AX89re/xX/8x3+4TiY++eQTfP/738e2bdsQGhqKiRMnIiMjA/v27cOHH37o1v4HtrORBpOis3HhzDCfOhsRFvklYB2NJhjM2pfE6z4bh65Em+YMAELPR6EtXvsSgdFN4WiOk6/NHdccivOx2t8+CXqdDSt862wo5kntQGO00Mpod7qxVjFT9D1UDY+kDp1Gh82Bxgihs2Gziw0OwI3ORrcDjUJnI8mXzoZBp7OhmJsVDY7eubLDESZ3OBLD1J0NVStB1UkAfGxSBLCz4UtXQrc7orNfYmdD73gEsrMRpToeDt2Gi/i9pZj1zOXvvcRwnWOp1+GIsqOlVftnSHysQ2xwAD0djlbhiqvGeJ3ehaKl4VYrQ1qraH/0rHWn/yF0NhIMYoMD0OlsWAzqJoVF7nCoGhzAxRaGl3NVR6NnLrc0jEkh4uMFAKMlVJxHJLSzs3GJ3t8ji296HGHh/utsdHd1oOZPPw+6x+svHr1no6amBqdPn0ZxcbHrc3a7Hdu2bcMzzzwDm83mOln4R2PG9EQX8vPzcerUKSxfvtx1spGamorw8PA+a7Ozs3Hy5El0dnYiIiIC48aNw9atW9HW1obm5makpqbi29/+tmu7nghEZ2P63O+jWNHZ2PPeXK87G4c2TYdl5t/F+fEtxQid9rHmrH17Ds6Xys/+RFel4dNC7ROZtPcTsT9H+9rbAJBzIAZVV2r/gJpUH4Ltii/N9MPA1lHaf3HO+syh7mwcsWNLmjwvP+rA5pHa89lfdOuslbddfsSBTVfo9D1SFY0OocEBABUnu/CeRfsa+3PP2LDRJP9Qm3u+A5uMis5Gczu2RGrPZ7dbsS1E0dnotmK7Q3s+w2DFji5FZyPMih0dQmcj0opdbfLaqdFWVDXL8ylxVlQLZ7OTE9rETgJwsZUgdBZKk3xrUuh2NrzsRhQPV/cdihUdDlWDA+hpQ0iPuSRF7kb0zqXHPHGE3OAA3OxsqLokquMxXG5llAxrR/V5ee2kRLnxMinBqlyr+t6bZNY5lslW5fGaeEU7DjRo/4woGN+BDw7IP5vycrtQt0/75232BAcO7RWXIqsUcqOjxCnO9ObZxU71/ZbodTiA+l3af/9kTg5B/Q75l/rMqaFo2KbobAjNCQDImBWJho3a/7iXMScGDRu0A7vAxRaGl/OMeXHq/kdFrLjfGbOjxK4IcPExCccjsZidDS0siHvGo5dRVVRU4MCBA6itrXV9lJSU4Dvf+Q5qa2vFE41/5HQ6+7xxe9q0afj444/hcHz5g6OhoQGpqamIiOj7C1psbCxSU1Nx/vx5/O1vf8MNN9zgyUMgIiIiIqKviEfPbMTFxSEvL6/P52JjY2GxWFyfX7ZsGY4dO4aXX34ZAPC73/0O6enpyMrKAtDT3XjiiSewePFi1zZ++MMfYuXKlViyZAkWL16Mjz76CL/61a9w3333uW7zt7/9DU6nE5mZmfj444/xk5/8BJmZmbjjjju8e+RERERERJ7ipW894nVnQ3LixAkcOXLE9WeHw4Fly5bh8OHDCAsLw7hx4/DrX/8a9957r+s2aWlpePfdd/HjH/8YBQUFuOKKK7BkyRI89NBDrts0NTVh2bJl+OKLL2A2m/HNb34Tv/zlLzXfe0FERERERP3P55ONLVu29PnzSy+91OfPixcv7vMshqSsrAxVVfL7Fm6++WbcfPPN3uwiEREREZFfGBw9H/7c3mDm92c2iIiIiIgGLb6MyiNeRf2IiIiIiIj0eNTZGOgC3dlI0O1saM8vNA5TdzbOmBGu6mycTQCEzob9rBGdCfIl78IvRAams9FmUHc2FHNVgwO42OHwcu7rWt1Gh9DhsOh1NjocaIzQnifZHPqdjTBFZ0PR4UiyO3DWoO5sSB0OVYMDAMyQOxsWvc5GqE5nQzFPDFN3JRIi5BZCQnhgmxTB2NlQzX1tdOh1I/Q6HNLxUnU0eu7boXxMyu+tcPX3ltffl6Hq/ktihB1NwuMFer7GzVbteXy0HS0t8s+XeKMDLc3aP5vi4uUGB3CxhyE1OkxAi2JtnGIep9guABjj3elsCLNEqDsbiQa0nhOaFIoGB9Db2ZAaHXKDA7jY4eiHVobREiI+XgAwmkPE4xVhsrKzcYne3yMn3eD/zkb1m+xsDCqB6GzMmPt9lMzdKK6t3jAXBRVbNGd7N85VdjbqNk5H4swD4vzE1onA1E81Z53bs3C65LS4NqE6FR8XtGjORtUmeN/ZaAhFpaqz8SnEDsf0w8D20fK122d85sQ2xXzmZ05x/QzFrHcu9T9mfuZQNzqOOLBphPb/UrOP2dWdjROdeC9J6Gyc7sTGBL3OhnwWpO5stGNrqE5nA9rzmU4rKu2KzobBih2d2vPp4VbsbJfXTouyYlerPC+LtWK30EKYEi83OABgklluIZRa5AYHoO5w6DUpiodb1Z0N1dpUdf+jeLi83yXD5OYEoO6OlAzTb3RIfZCSZHV3ZOKIdnVnY5Tc2Si6Qr1fJSnt4vdAaZIVu5tUrQwrdrVoz8vi5BkAlBkV35dx6v7LZLP6eBUPb8ffP9X+GTEhvQMf1MkXS8nL7MSH+7V/duXmd4sNDgDInugQ51kTHah7X/6ZmF1kF+c5RXb1/U6w49AecYysEqC+SupsGFC/U9HZKAtFw/YuzVnG9DB1k2JmBBo2tWvPZkepWxhzYsRGBwBkzDXK266IRsMWOdCbUR4lt0NmRaChUj4eGdPDxS6JuZCdDfIdX0ZFREREROQup9P/Hx5YsWIFSktLERcXh+TkZNx4442or6/vc5t169bhqquuQlJSEgwGA2pray/bjs1mw+LFi5GUlITY2FjMnz8fX3zxRZ/bnD9/HgsWLIDJZILJZMKCBQtw4cIFj/aXJxtERERERG7qLYj788MTW7duxcKFC1FVVYUNGzagu7sb8+bNQ1vbl8+ctbW1Ydq0afj1r38tbmfp0qV4/fXXsXbtWlRWVqK1tRXXX3897PYvX+532223oba2FuvXr8f69etRW1uLBQsWeLS/Q/JlVEREREREA9H69ev7/Hn16tVITk5GTU0NZs6cCQCuE4LPPvtMcxtNTU1YtWoVXnnlFcydOxcAsGbNGqSlpeG9997DVVddhbq6Oqxfvx5VVVWYPHkyAODFF19EWVkZ6uvrkZmZ6db+8pkNIiIiIiJ3OQPwgZ43oF/6YbPJ79O5VFNTz9UWzGaz2w+hpqYGXV1dmDdvnutzI0aMQF5eHnbu3AkA2LVrF0wmk+tEAwCmTJkCk8nkuo07eLJBRERERNTP0tLSXO+NMJlMWLFihe4ap9OJ+++/H9OnT0deXp7b93Xy5ElEREQgMTGxz+dTUlJw8uRJ122Sk5MvW5ucnOy6jTv4MioiIiIiIjd58z4Lve0BwNGjR/tc+jYyUvsKdJdatGgR9u/fj8rKSr/si9PphMHw5VU7L/1v6TZ62Nm4RCA7G+fPDEN80lnN2YXGJMRYFJ2NRjPCLdqXpwUA21kTnInal9tznDPCZlJ3Nlrita/7bWwORbNR0dloCcUFYZ7QGiI2OAAgsc0gzhPbDDgXKy6FuQ2+bVvR2UhsM6gbHYrOhsXnzobQwrDZ9TsbQkcDAJK6A9jZEGaATmfDIM8AwKzX4QjRaSF06XQUhHliuLqFoOpwqJoTgLqV4Vajw9vOhmIGAAkRqiZFYI+HsrMRLXcnTDpdElOUQ/E11u9sSN975lDv+zCJoervS3NYt/p4RcjHyxRlR3OborMR6xA7HKoGB9DT4VA1OgK51tsOR0+DQ6+zoT1XNTgAdYfDaNFrYciNDkDd0jBaQr1uZRgt8uPtWWsQj1dEHDsbl+r9PXLKtY/6vbNR9dd/9fjxLl68GG+88Qa2bduGMWO0ewKfffYZxowZg/fffx8TJkxwfX7Tpk2oqKjAuXPn+jy7UVhYiBtvvBGPPPII/vu//xv333//ZVefSkhIwFNPPYU77rjDrf0cks9s9EdnY/eGryG/YqvmrOa9ORg9e7e4tn7TdJhmHhTnp7YUobvsM81ZV2UGThTLJ0GJe4ajLk/7ut+Z+42ozZFfL5j/QRT2Zmhfm7u4Phy7xss/GMs+DhEbHZM/CsWucfLaqZ8YdLctzad8FIqd4+QfulM+NsiNjsNObEmXfxmY9bkvnY0uvGcROhtnbOrOxrkObDLKZ1BzWqzYHKU9n2Ntx5ZweW15pxXbQrTns+xWbHfIa2fAispu7fmMUCt2dCg6G5FW7GqT51OjragSegdTjFZUC60DAJiUIHc4JieqWwiqDoeqwQGoOxzFqTqNjlR1V6I4RdHKSNbrbLSjWjjDnmTx7XhIDY7e/VJ2OEa2i/Oike3K4zExVe5sTLLI3zsAMNkkf++VxVqxy6r+vpT6MGUxVlSfl9dOiW9TN00sVrFLMnGEFQc+kv8FtGCcTexw5GV24sMD8q8COfndqKvV/rmXPcEu9jsAIKdAnucU2MXtAkBOoU7/Y4Idh6q1f5ZnlQL1u+S/IzKnhIgdDlWDA1B3ODJmRahbGLMi0bBFbldlzI6St10eqd6vGRFiKyNzehjqd8kxwcypoeLxMueysxGMnE4nFi9ejNdffx1btmwRTzRUiouLER4ejg0bNuDmm28GAJw4cQIHDx7Ev//7vwMAysrK0NTUhOrqakyaNAkAsHv3bjQ1NWHq1Klu39eQPNkgIiIiIvJGoF5G5a6FCxfitddew5tvvom4uDjX+ydMJhOio3v+UeLcuXM4cuQIjh8/DgCuDsfw4cMxfPhwmEwm3HnnnXjggQdgsVhgNpvx4IMPIj8/33V1quzsbFx99dW4++678fzzzwMA7rnnHlx//fVuX4kK4BvEiYiIiIgGjOeeew5NTU0oLy9Hamqq6+OPf/yj6zZvvfUWioqKcN111wEAbrnlFhQVFeH3v/+96zZPPfUUbrzxRtx8882YNm0aYmJi8PbbbyP0kpdev/rqq8jPz8e8efMwb948FBQU4JVXXvFof/nMBhERERGRuy65XK3ftufJzd14u/Xtt9+O22+/XXmbqKgorFy5EitXrhRvYzabsWbNGs928B/wZIOIiIiIyE39/TKqgYYvoyIiIiIiooDgMxtERERERO5yOHs+/Lm9QYydjUv0Z2cj2nJBXNvWaEaoorPReTYejsR27eG5WLQrOhsRFyLREqd9ybu4llA0KTob8S0hYmcjsVWeAUBCW4i4bVOrQXm/plZ5bc9c7n+YWkJwwSh/y5taQsQOh9kKNEbL14W3tDvRGKk9T9LrbNi872wkddnRGKbocKg6G90ONIYotu2wix0OVYOjd37OKfQKFA0OALDodTb0egaqjoKiw5Go6EYAQIKiwxG8nQ25owH09BuUTQqdZol4vzrNksQIOy4IHQ0ASIhSdCWi1WtN0ap2iI+dDS/7MKo2DNDzfak8XuHd4mNOiLSj2SqvjY+WOxzxsQ60tOo1OoRWRpxTnOnN3Vqr1+G4oD0zmpxoldNVMCbKHQ5Vg0NvbjR73+gA1C0No0XuaLi2rXpMesfjgvYswtjGzsYlen+PnPq1R/ze2di54d+C7vH6y5B8ZiPYOht736tA+uxqcW3DpmkwzvhQnDduLYRtyhHNmWPHOBybeE5cm7QnBQdytE9Ucj+Iwb4s+URlQl2E2NkobQjD3kztWe9c2vbEQ+GozVbfr2peWBeJfZna1yMvOhSBamGfAaC4LgLbhctVT/vUgM0j5b/Qy4/YsSlV+1r2c453Y2OyorNxyvvORsX5DmyKk3sFFc3t2BQjdDZa27ElUr62/+wOK7aGCp2Nbiu2Q1470yl3NqaHWLGjU147PdyKnYqewTRVzyDWit1Nio5CvNw7mKxocADAJEWHY5JF3cIoSZa7E8XDfe9sSPtVOkxuTgA9/QbpeExKVLchVMdLdawAYJLZin2qxzxc7nAUjWxXri0aKbdDSofpdzak772psVbsbFd0NqLktdOi1PdbFmsV9xkAJie0iY+5JNmK2s/knxET0ttxoEH750vBlTYcrJN/NuVn2vCB0OHIze/GBx9o/8wDgNzcLnGem9slbhcAcvPkvgcA5BR0o26f9slI9gQnDu2WfzHPmix3OFQNDgDILAuTexbTvG90AOqWRsbMCPV+TQuTH1NZqPp4TDGIzRJLJjsbmvr5DeIDDd+zQUREREREATEkn9kgIiIiIvKGAX6+GpX/NhWUeLJBREREROQup7Pnw5/bG8T4MioiIiIiIgoIPrNBREREROQmRv08w2c2iIiIiIgoIPjMBhERERGRu3jpW48w6neJQEf94oSoX1PjMEQpo36JCDG3ivOus/HoTuzQnIWcj0Z7vHzd78imCLTE2TVnelE/U2sImoUgYHxLiLjdnnkoWuKF+20ORWu8fD1xY3OY7ly6b2NLKJoVjymuJRTnY7X/l0hoDYHiMviwWIHGKO1rSlj0on4dDjRGaM+TOh3qqF+nOvo3TBH9S+qSg38AkGR3BCbqZ9CJ+hmCNOoXIYfqEnTWqqJ/gY766YX5xGMZ5saxVK1V3W+Y99G/hCidqF+UzvEIZNRPmKuCf71z1fEyh3Urv3+kACLQczya27Tn8TFy8A9QR//ijOogoGoeZ3SgpUVxv0Y5Jgioo3+q4B9wMfonzI0JcCMIqJjpBgFV0T853Ge0eB/mMyYa1McjQRH1i21l1O8Svb9Hzij/N4SF+THq192B7VseCbrH6y9D8pmN/oj6VW34GnIrtmnO9r1XgRHlNeLaTzZNQeT0BnHevi0PLZOOa84idqXjSNEFce3wGgsO5mpH/XIOxijjeUWHIrA/R/skp/DDSHG7AJD/YTTq8trE+z2Urz0DgKwDscp55n4jPsizas6yD8SiNscmrs07GI2qK7X/MiitD8H20fJfftM/BTaP1P5fqvyoHRtT5PhVxYkuvDdMiPqd7sRGs/YMACrO2rDRJP/Qm3uhA5uM2nG0Oc3t2Bwtn0HNaWvHlnDteXmnFdsM8tpZDiu2O7TnMww6Ub8wdTxtWpQVu9qEqF+MFVXN8topcVZUXxCifiadqJ9ZDtWV6kT9SofpRP2EWe/c26hfSbI66jfJIkcQJ5t0jmW8Yq0intiz7TbsPaOODUoRu4mpVuw7Locsi0a2i9suHt6ufEyTE9RRvx02xfdlpBU7OoSoX6T8PQv0BAGl70sAmBLXJn4PlCZZ8f5R+XhMHNGO/Z8KUb8xHWLwD1BH//KyO3HwkBwEzMvqlNdmdeKDOvlnYl5WJz44qA4GStG/nIJu1O2Vf1ZnFzvFiF1WqUEnCGhAfZUQz5tsQP0u+R/ZMqeEoKFS/oeyjOnhcjBwRrh4vwCQWRYiP6bJBvXxKHGKgcSksYz6ke+G5MkGEREREZFXHBc//Lm9QYxvECciIiIiooDgMxtERERERG4yOJ0w+PEtz/7cVjDiyQYRERERkbt4NSqP8GVUREREREQUEHxmg4iIiIjIXU5nz4c/tzeIsbNxCb1rQhdOSINl2GnN2ZnTyUgcdkZce+5MMoxJ5zRnTY1JiLQ0iWvbGxMBs3ypV/tZI7oStS/nGno+ClZFkyK6KVzsXRibQ3VbGVLvIq4lFG2K+41tDhP3K6Y5DO2qfW4OU7ZDopvDxW1HN4UrGx2xzWFiOySuORTnjfL/LgktcodD1eAA1B0OVYMD8K3DMUyvs9HtQGOI0OhwuNHZEOZmuNHZ0OsZSC2EkAC2IcL7p7Oh6mj0rHfI+xWh95gUx0PRnAAudicUTQrl1yHU+w6H6lgCbnRHvOxsJPrQ2bC409lQft8qjke4ujuSEGlHs9DhiI+WGxyAusMRH+vQbXSo1uo2OrzscMTFOdEi/5WKOJOiSZEgz/Tmqn6Ha61eK0PqbJh1WhmKloYxAbrHQ9UsUfVOIqNahmRnY+a0X/i9s7Ftx2NB93j9ZUg+s+FtZ2PO127HrK/9TXO28d2rMWnue+Layg1XI3vOds3Z+xvnIGXW++LazzZPhmHqJ+K8qzIL50tPaM5iqtJweIL8Uybt/USxd5F1IFbZyij4MErsXeQcjMHHBS3i2iv3x4n7NbbWhM8UbZDR75uU7ZC09xPFbae/n4CGAjmQOO7v8WI7JOdgDKqvlE++ig/JHQ5VgwPo7XBoX4++4kSn2OAA3OxwxGtfg3/uhXZsilV0NlrasSVSez673YqtofLa8m5FZwNW7OjyvrMxVdHZmBptRVWLurOx28vOxuRE3zobe08JLYwUeQbodzZKUtpRLZzpliap+w2TEuXjNdmkbkOUxSq+DjFW7FJ8Hcpi1fs1OV7ucJQmeX+8ilPbxTYI0HM8pM5GWay6DzMtQp5PD9dpx0Sqv2/LYuXvvUmJ6u5IyfB21H6m/YvRhPQO7P9E0dkY24EDH2nP86+0iTPXXGh4FFxpw4F6udGRn+FGh+OA9s/U3Nwu1L0vn0DlTLCLXYnsiXJzwjUXmhXZxU4c2iMuRVYJ1K0MRacjc1qYetuTIO53VrFTbJIAQHaRAx/uF5olhXZl7yQlVe5wDObOhsHZ8+HP7Q1mQ/Jkg4iIiIjIK3wZlUf4BnEiIiIiIgoIPrNBREREROQmg6Pnw5/bG8z4zAYREREREQUEn9kgIiIiInIX37PhEZ5sEBERERG5iwVxj7CzcQlfOhuNOp2Ns4rOxoUzSQi3yJeJtZ01KTsbzrNGdCdqX6I25HwMbKZOcW1EU4TYw4htDvO6lRHb/P+3d+fRUdf3/sdfk22yT/aNhFUqSwhL2MKWQFjcapffr16VY1uxliog1ttepD+tuEZbW/3dau+t3orX3lr8aWnrOVqEEJbEhB0EXAooAkIgZCeZyUxm5vP7IzB1yrw/38lkpgzJ63FOzpF85jP5fj+ZiXyYyfcZBZtF08JoixaPy9wWDXuKfMzm1hg4NOMxrTHifHOrGTbNesRq1iOuLVpscAD6DoeuwQHoOxy6BgfQtw5HhsOFxij5koi6DkeGy40mk6aVoelwpLOz4cW4o2EwHuMWj1vX0bg0rmtlBNqV0I1dGg+0w5FqsNYpMZrvk2atgJ7vU8CdDc14Xx7Tl8al406Lcmq7IylmF9qEzoYl1oV2q0FnQxjXjXnGhYZHcoJx3yPQDkdyolvsRgAX2xHCFeF1zQnPXF2TIsC+B6DvdOg6GsDFlobuuIzOSdcsYWfD49LfI8um/J+gdza27n4y7M43WAbkKxuh6GxUbbwO0+dvEudu23Q9rp1X43NsX2U5LHMOi3Mbtk0AZnwmjjtrRqJjmu8nrLluCOqLG8W5GXuy8Nn4dp9jwz9IDriVMeKDZJyaKNeLhuxPEY8rd186zmmOOWdvBhom+970AUDmnixxfuaeTJye5HvTd+m+pXMeciBFbHAA+g6HrsEB6DscPQ0O+Trn5fXdxh2OVN8/FMubulCVJF+fv7zNhi1xvndJ8zpt2BYl76BKHVZUK9/jc1Q/7WwIXQjgYhtCaj9kG3U0rOLXBYDJmTaxWaHraAA95yx1JWYkWPF+l6YNEWvF+3bf4zPNxl0JbcMjzopdLcL3KcUqdkUAYGq6/H3SrRXQ830MuLNhlh/Xs6LktQJ6Gh269ZgRK6/H9OROfeMlw4r9p3w/zycNkhscADBhaBc++Mz3z5fxw+3iGACMH2bHQWG8aLgdh44Z9D0C7HAUXusQuxEAMGacU+xOjJ7o1jcpJrjkueOdAfc9er623OnQdTSAnoaHeFwTXPhIaJIAwJgip9jSGFvYjQ8/1HQ2cgZqZ0PBFMR/qw/mfYUj/oI4ERERERGFxIB8ZYOIiIiIKCD8BfFe4SsbREREREQUEnxlg4iIiIjIXwpAMEN8/fuFDW42iIiIiIj8xV8Q7x2+jYqIiIiIiEKCnY0v8aezkSF0Ns73obPR3pgBc3qrONfWmIrI9A5xvLspCSrV6nNMNSegO9Uuzo1qiRV7GHFt0domRVxbjDge1xatbWGYW2PE44puMcOZKl9iNrolVuyKAEBkS5w4P6olFo4UeT2iW2PRJfY/5AYHoO9wJLVHoiVBfqqldMgdDl2DA+hbhyPDLjc4AIPOhtONxgh5boaus6EGXmcjJUYe140BQIrZoA2haWnoOhqAvg1h2JWIcKFZCd8HkzwGGLdWdN/H1Eg/vsch6I6kRoWuO5Ju8qOzoXncahsv0XKHIyVGbnAAgCVO0+jQjF0aD0Wj49K41OHQNTiAix2OALsSunG/5hr0LjqETkeiP/2PAI8rMVmJ65WUpF/LWHP7gOxszJvwIKIi5Us395bTZUfVgafD7nyDZUC+jSrQzkb5gu+ifMEGn2PvbbzesLMxel61z7EDm+cip3SfOPfk1mmIn/WxON66vRDOks99jrlrr0HLlHpxbuLOfLGHUbA/RdukGLQvTRwfvD9V28LI2ZspHlfa7hxcmHpGnJu8K1fsigBAws58cX7CzkFonnJOnGvZlYszxU0+x7L2ZGq7I7oOx5hD8dgxUn6D55S/RWDbEN8/0OccV6jKk5+qc0/70eHI8P1DcX6DA5st8jX257d0oSpR6Gy027A1Rr62/9wuK7abfI+XuqyoccpzZ0ca9B00jYYr2dnQtTB0nY3JWQYdjSyb2FgAgKlp8jlPs1hRJ3QjgIvtCKH/MCNW/32aFW1FjUvoSkQafI8j9N2JWdHy97gk3oqdbZrvU7LcpJiapp87NVXT2Ug06GzEyOc8K0o/16gtM9NsxY52+bh03ZFpqZ3Ye1bqjsgNDgCYWGDDgRO+f0ZMGNIljgHAxMFdYsND1+8AehodgXY4xn3FoW1DFI5x4EOhOzF2nNycAC52J3RNCk3PYmyhU9v/GDvOiY/3+f7/wKhipe9/THTpz0mzHmMKnWKzZOzobnEMAHIyB2Zng3pnQG42iIiIiIgCwkvf9go3G0RERERE/nIDkN+ZFtj99WP8BXEiIiIiIgoJvrJBREREROQnXvq2d/jKBhERERERhQRf2SAiIiIi8hd/QbxX2Nn4kokTCpCb2SjOP30+A5lCZ+OcYWcjW+xsXGhMR6yms2FtTEF0unzJVUdTMkxpnT7HXM1JcGuaFKZmuUkR2RKrbWXEtMaI4+bWGH0rozVWPK7IFnkMACJa4sSuCACYWuLl8ZaEPqxHnNjgAICYVrPY4Yhvj0JbovwbYMkXItGc4HsstcMkNjgAIM0KNJrl31TL0HQ4jDobGQ4XGqN8j+saHACQ4XLrOxt9bDD0qbOhazAY9CzkVobc4AD0HY4Us9uw0WHUhtA1GHRrqWtppEXIrRSgpw2h+x5r5yLwx4Du+w/0tEMCbnT0tbMRwu5IwI/5SPmxmRrjEhscAJBidqGtS+hsxPah0eHHXG2HI86F9k7fP9eSE9xigwO42OHQNTr6MjfAvgeg73DoOhpA31oZSUmBr0dszMDsbJSP+VHQOxubP3o27M43WAbkKxtSZ+OGBUvwjesqxXlvbJiHBQt9dzbeee96TJ0vz63edD1Gznvf59hHm+cgr2yvOPfElqmwzDksjjduG4/oWUd8jnVXj4Ft+ilxbkzdYLRO9d27SNo5SNvKyNqTJY7n7s3QtjJSdueKxxW/Ix+OkhPiXHPdYLErAgBRdUPF8Yi64QGvR8KOfLHBAQCZu7NwVOhwDD1gwYHR8kal8MM41I3wvRmZdjQS2wbLP+xnH1eoypOvgz7vtBObs31fj768vhub0+QfmOWNdlQl+b4Gf3mbDVti5V3QvE4btkX6Hi/r7luDYWaM3I6YEWvQ2Ui0YpfQ2ZiaYtTZkHsGU9PlBgeg73BMybRpOwlTMuU2yKXjquvwPT49Wd9vKImXvxczY6yoVprvk8mKavgenw15DADmKLnRcem+pdaKrrMCADPiragTHgMlifrHxzSLQWej26CzEaLuyMwYfVtG9/iYniQ/NqemW7G3XtN4ybFi32nfPwMm5dnEMQCYNMgmNjwm5sv9DqCn0aHtcAztwqGjvseLrrGLDQ4AGHetA4c/9j1eOFoeMxovHOXQNikKR+n7H2PHdIsdjjHj5Y4GAIwpcon3PXasvpUxdkw3Dn8in5NuLfPS2NkgYwNys0FEREREFBC+japX+AviREREREQUEnxlg4iIiIjIX4z69Qo3G0REREREfmJno3f4NioiIiIiIgoJbjaIiIiIiPx16RfEg/nRCxUVFZgyZQqSkpKQlZWFr3/96/jb3/72D4eosGbNGuTl5SEuLg5lZWX48MMPvW5jt9uxYsUKZGRkICEhATfffDO++OILr9u0tLTgjjvugMVigcViwR133IHW1tZeHS83G0REREREV4lt27Zh2bJl2LFjBzZt2gSn04mFCxeis/PvzbWf/exn+OUvf4kXXngBu3fvRk5ODhYsWIALF/5+if77778ff/rTn7Bu3TrU1NSgo6MDN910E1wul+c2t99+Ow4cOIANGzZgw4YNOHDgAO64445eHS+jfl/St6hfNpIz5LktjZmIE8J9tqZUbdTP1pSCmPR2cdzemIwoIfrXrQn+AYC7OVGO3DXHG4T5zJownz68F9ESD0jH1Zwgj108Lt05qeYEcVw1J2rvWzVron/N8ehOtYtzo1piYbN0+xwzt8bgQrLL5xgAJLZHoVWI/iVfiIAm/YC0ThOa5EvdI80GOerX5UZjjPxvDrron2HUz+lGk0kIvrn9CL5pAmfpJk3gzCjapgu+aYJ/QB+jfjFyuC8lxvjrBhqiS9NE+4CLUT8pRGcU9YMm6qcZ82tcE37sUwAv0jgI2Keon3BOaZDHPON9iBwaPualkGWU/nGri/6lmI2DgLq5UiwQACzmwKN/yfEutHdqgoDxLm3ETooFAj3BwFDEBD3zhXCfLtoH9C3MZxQq1K1HXPTAjPrNH3F/0KN+lZ8+H/D5nj9/HllZWdi2bRvmzJkDpRTy8vJw//33Y9WqVQB6XsXIzs7GM888g6VLl6KtrQ2ZmZn43e9+h3/5l38BAJw5cwYFBQV49913sWjRInz88ccYM2YMduzYgWnTpgEAduzYgZKSEnzyySe49tpr/Tq+AfkL4qGI+r294UYUlW8V5+6qXIDBc3f5HDuxZZo26ndq6xSkz/lAHG/YNgHJsz/0Oda8vQiRM4+Jc50114oBvYjaYWLgDgDSd2fDPv2kz7G4HQVwzzguzo2oGwrTjE99jqnaEeIYAKB2uBgxBIDumq+I446aa7X37Xp/pLgeptrhaJkir0fiznycmtjicyx7bwY+LpQ3OSMPJmHftb43KkUfmfH+cHEqZhwDtg6W/8c653OFzTm+g07lZ7pRmSH/wJzf4MBmi+/w1vyWLlTFy7ug8gs2bIvyPV7q0Mfi5igr3nfI47Oi5PDazDg56Ab0hNmkANo0ixW7WjTBN030b2qaQdQvQw73TcnQxwSnpluxo11/XFLwrSRRH4ubESeH6GZG6MN8s2EVw42lLnns0vh2k2bcLUfw/AngSY+PGfH6IGBJghxBLEnQh/lmxVhR7ZaPWRoDeiKGRtE/6bhmmuWoI9ATbpQe19Ms+sft1HQr9pzzPT45Wx67NC4FA3WxQACYlBt49G/8MDsOHZN/rhUN78KhI77HC6+1i2MAMO4r8njRSOO5Ujzv0rgU5htT6AxZmG/ctY6A12NQygCN+oWos9He7v0Py2azGWaz8aamra0NAJCWlgYAOH78OM6ePYuFCxd63VdpaSlqa2uxdOlS7N27F93d3V63ycvLQ2FhIWpra7Fo0SLU1dXBYrF4NhoAMH36dFgsFtTW1vq92eDbqIiIiIiIrrCCggLP70ZYLBZUVFQYzlFK4YEHHsCsWbNQWFgIADh79iwAIDs72+u22dnZnrGzZ88iJiYGqamp2ttkZWVd9jWzsrI8t/HHgHxlg4iIiIgoMEF+ZQM993Xq1Cmvt1H586rG8uXLcfDgQdTU1Fw2ZjJ5vy1PKXXZ5y47kn+4ja/b+3M/X8ZXNoiIiIiIrrDk5GSvD6PNxooVK/D2229jy5YtyM/P93w+JycHAC579aGhocHzakdOTg4cDgdaWlq0tzl37txlX/f8+fOXvWqiw80GEREREZG/rvClb5VSWL58OdavX4+qqioMGzbMa3zYsGHIycnBpk2bPJ9zOBzYtm0bZsyYAQAoLi5GdHS0123q6+tx+PBhz21KSkrQ1taGXbv+/jvHO3fuRFtbm+c2/uDbqIiIiIiI/OVWuPTWp+Ddn/+WLVuG119/HX/5y1+QlJTkeQXDYrEgLi4OJpMJ999/P5566imMHDkSI0eOxFNPPYX4+Hjcfvvtntvedddd+Nd//Vekp6cjLS0NP/rRjzBu3DjMnz8fADB69Ghcd911uPvuu/Gb3/wGAPD9738fN910k9+/HA5ws0FEREREdNX4j//4DwBAWVmZ1+fXrl2L7373uwCAf/u3f4PNZsO9996LlpYWTJs2DRs3bkRSUpLn9s899xyioqJwyy23wGazoby8HK+++ioiv3RZ+9///ve47777PFetuvnmm/HCCy/06njZ2fgSo87GGU1no74hG0kZTeLctsaMkHU2HE3J4riuwdEz1yJ2J0x+9C4i0zt8DrmbEsUxAHA1JSJSOC5XU5LB3ATtOTmbksRxZ1Oy9r6dTYlio8PVnCQ3OACgOQ6OFIfPoehWM6zJTnFqbFs0LiT57mwktkeiJVF+mqZciIBwRVUAQLoVaIz1/Ytc6TYlNjgAg86Gw4XGKE1no9uNxgjf4xlGnQ3lR2ejL82BPnQ2xF6BpsEB9LQ0QtnZ0J1TSDsbUktFudAkfP+Bi60VYa5nvtTw0DQ4ACBN8/jQPXaAi60MYVy3Vpe+rnjMmjFAf76AvrOh684A+vaMrsEBGLVlDB7z0XLDQ9fvAPrW4dA1OAB9hyM5waDRoRk3nBvvMmx49KWVoet/aL9uortv6yGsdVxkW//tbAy+F1ERQexsuO2oPPnrsDvfYBmQr2zoOhv/67oqcd66DWVYtPA9n2N/3HAjxpZvF+fur5wXss5G0/bxyJxzwOfY2W0TxQYHADRuHw/M+Mz3YO1wbZMiom4YYmd94nPMXjMK8bM+Fudaa0YhcfZHPsc6qsdq59pqrtWeU3v1WHG8rXqc9r4vVI8RuyTdNaNgm35KnBtZOxQNk31vRlN35eL4hDZxbv6+NBwa43sjM+pwAnaNlIOAxZ9EoHqofFWIWZ8BW/J9P9XLTrqwOVu+/np5fTc2pwqdjaYuVCXK18mf19aFrTG+d0Fzu/T9hjmaxgIAzI7sQ3MgwYqdbUJzIFnf2ZiaKvcwpqVaxY4G0NMrkOZOSTf4umnyMQP6zsb0JOPOhtR/mBVhxfYIfQ9FbKm4rNgaLc8tc8hzAaC0W/7apU7jZoXUaZkVbdDoMMvjuiYJAMyMkh/Xs2HcLDFqz+i6I9LzAQBmxsrPiZJ4K3YJ3RngYntGeFxPTTd4zKd1Ys95uS2ja3RMyQq8wzFxcBcOfC43OiYM6cJBodFRNNwujhmNFw3X9z3GjZD7HkBPp0PbytDM1fUwxn3FjkNHdf0Ph3jc466x4+CnmmO+xi72Tgri5QYHcJV3NqhXBuRmg4iIiIgoICGK+vVXvBoVERERERGFRJ82GxUVFZ7feJfU1NRg5syZSE9PR1xcHEaNGoXnnnvustu1trZi2bJlyM3NRWxsLEaPHo13333XM+50OvHQQw9h2LBhiIuLw/Dhw/HYY4/B7fb9PnciIiIioqBzq+B/9GMBv41q9+7deOmll1BUVKS9XUJCApYvX46ioiIkJCSgpqYGS5cuRUJCAr7//e8D6Ln274IFC5CVlYW33noL+fn5OHXqlNdvzD/zzDP4z//8T/z3f/83xo4diz179uDOO++ExWLBypUrAz0NIiIiIiL/8W1UvRLQZqOjowOLFy/Gyy+/jCeeeEJ724kTJ2LixImePw8dOhTr169HdXW1Z7PxyiuvoLm5GbW1tZ6rRA0ZMsTrfurq6vC1r30NN954o+d+/vCHP2DPnj3i17bb7bDb7Z4/t7fLV3QiIiIiIqLgCuhtVMuWLcONN97oiX70xv79+1FbW4vS0lLP595++22UlJRg2bJlyM7ORmFhIZ566im4XH+/As+sWbOwefNmHDlyBADwwQcfoKamBjfccIP4tSoqKmCxWDwfBQUFvT5eIiIiIiIPhSAXxK/0CYVWrzsb69atw5NPPondu3cjNjYWZWVlmDBhAp5//nntvPz8fJw/fx5OpxNr1qzBww8/7BkbNWoUPv/8cyxevBj33nsvjh49imXLlmHlypX46U9/CqAnzf6Tn/wEzzzzDCIjI+FyufDkk09i9erV4tf09cpGQUGB2NmYNGEw8rLkzsYXDenIzjzvc+xMQyZShTEAaDqfjYSMZp9jHY1pYoMDAKxNqTCny5dNdTQlIz69RZyru29bUyrMwniXQd+juylZO1d3zPYmi3jfum5IX8cdjcmI1s61iB2O7qYkbXfE3ZQIZ2qXz7HIljjYLL4bHABgbjWjQ+hwJLRHozVR/t0ky4UICFdUBQCkdprEDkeaFWg0y5fNzehSaIwRWhl2fWcjs9uFxkhhrstt3NnQ9Ax0zYG0CIPmgKbDwc6Gt751Npzi9x8AMlzy46Nn3C12OtL96LSIvQv40eiQ1sPkQrPm62o7G/BjLftyTleqS6Obq3k+GT1fUqOdAXc4LLFyg8No3BLnQrtmbrKm4ZEcH3jfA+hjw6Ovc/tyTsJ6xUX0485G7lJERciXje8tp9uByvrfhN35Bkuv3kZ16tQprFy5Ehs3bkRsrHwNa1+qq6vR0dGBHTt24MEHH8Q111yD2267DQDgdruRlZWFl156CZGRkSguLsaZM2fw85//3LPZeOONN/A///M/eP311zF27FgcOHAA999/P/Ly8vCd73zH59c0m80wmy+//rPU2bhp4V245bqt4jn8/q9zcMMiqbOxCFPnV4pzt2+6HiPm1vkcO1I1E/ll8tvBTmydiuzS/eJ407YiDJ270+fY8S3Txb4HAHy+ZRpySvf5HDuzbbLY7wCApu1F4tz6bcXaYz67bZJ43+e3T9B+XX/GpS5J47bxSJ1zSJzbuH2C2OFoqx4rN0kAOGu+ggtTz/gcM+8owOlJvjebAJC1JxOfjPO9kRnxQTL2Xdstzh3/kRm1I+R/M5h+zIRtg32/iDn7uEJV7uUb70vmnXahMt33NdTnN9hRlSxfB7+81YatZqGzYbVp+w2lTn3PYLbJive7NJ0NoTkB9LQSdlwQmhSJ+ubA1BSDzoZm1zc1zaCzofu6qX3sbAhrBQAz4uW1nulHZ0NqaZS6OsXvPwCU2a3a8bldNvG+y+wGx+WSmxZzlP6xNStS7lnMitb3PWZFysc1x21wzEbjLrnDoWtwACHs0lgMHpfJ8uNa1+8AgGmpndjToOlwZModjkl5Nuw/Jf9smpivaXQMMW50fHDc9/j4YV1ic6Jn3KDDcY08rhu7NC71MIpGBN7KGD/crl+PYfJ6DTZ/1H87G/ydjV7p1WZj7969aGhoQHFxsedzLpcL27dvxwsvvAC73e6VOP+yYcOGAQDGjRuHc+fOYc2aNZ7NRm5uLqKjo73mjh49GmfPnoXD4UBMTAx+/OMf48EHH8Stt97quZ8TJ06goqJC3GwQEREREQWV2w0giFdD7edXVu3VZqO8vByHDnn/q/Cdd96JUaNGYdWqVeJG4x8ppbze3jRz5ky8/vrrcLvdiIjo+RfYI0eOIDc3FzExPS9TWa1Wz9glkZGRvPQtEREREVGY6tVmIykpCYWFhV6fS0hIQHp6uufzq1evxunTp/Haa68BAF588UUMHjwYo0aNAtDT3Xj22WexYsUKz33cc889+NWvfoWVK1dixYoVOHr0KJ566incd999ntt89atfxZNPPonBgwdj7Nix2L9/P375y19iyZIlgZ05EREREVFv8W1UvRJwZ0NSX1+PkydPev7sdruxevVqHD9+HFFRURgxYgSefvppLF261HObgoICbNy4ET/84Q9RVFSEQYMGYeXKlVi1apXnNr/61a/w8MMP495770VDQwPy8vKwdOlSz+90EBERERFReOnzZmPr1q1ef3711Ve9/rxixQqvVzEkJSUl2LFjhzielJSE559/3vCqV0REREREIcNXNnol6K9sEBERERH1W26FoMYx3P17s9HrzsbV7NL1kfWdjSZx/umGNORm+u5wnD6fgczMBnFuQ0OW2OFoPp+FZOF+AaDtfAYShUYHAHQ2piE5w/f89sYMcQwA2hozkJzh+5zbG9O1X7ejMU0cb29MF9sfgL7/YWtKRaymDdLT8JDH7Zpxo3aIvTEZUekXfI51NyXDpOlsuJqT4Eq1+RwzNcfBniJ3NmJazegUOhtxbdFoT5IvhJDUHomWRPlpnHIhQuxspFuBxli5s5FuU2g0+75sbkaXG43Rms6Gw6CzIfQZgJ6OgrZnoOkKpJsMOhu6boBmDDDuBvSl0XG1djYahRZGhtugs+E26Gw49Y8f6eteuu+AexcGPQvtXKPOhu4xr/wYl+5bM3bpa0vfY6NGh65bkxYZ2udaoB2OFLMr8EaH2aDREWfQ6AhlZ8PovkPQykjWnC+gX4/4/tzZSLsz+J2N5rVhd77BMiBf2ZA7G9/DrddtE+e9/tfZ+MZ1vlsab2yYhwULN4hz333vekyfv8nnWE3lIkwsrxLn7qmcj9HzqsXxI1UzUVS+1efYwc1l4hgAfLB5LsaV+z7nDzaXab/ux1Wzce28Gp9jH26eI7Y/gJ7+h9QWObV1CvLK9opzT28tFvseQE/DI9B2yNltE5E8+0OfY83bixA585g411EzCp3TvvA5Fl03BOeK5U1f2u5sHCvyvckZciAFB8f4jgUCwJjD8dg10iWOF38SgeqhvjcUsz4DqvLkHwNzv3Bhc6bv66+Xn3Vgs0W+/vr85i5sife9y5nXYcO2SE2Dwa3vGcyGFe87hBZClBW1VnnuzDgr6oTORkmiH92AFt/jU/vQ2ZiaZtzZ2NEuj0+3XJnOxmxYsTVGaGF0d2JLnK6jYUWV8PgAgHmdVvHxM7dTbrgAwFybVXx8lbqs2G7St0OkRsdsyGOXxsWv67ZiW5S+LaMd79Y0PDRdEUDf4ZgdYcX7ds3zJUZ+Ps2It6JO81ybESc3PHT9DqDncRtoh2NylhV76+W5k3M0jY5cg0ZHgabRMVhucADA+KFdOKjpcBQNt4vjRSPkFgbQ08PQtTK0xzVcbmWMH9qFAyfl9Zgw2CaOD4nuv50NpdxQKnhXQw3mfYUj3/9kSURERERE1EcD8pUNIiIiIqKAKBXc37Po57/RwM0GEREREZG/VJB/Qbyfbzb4NioiIiIiIgoJvrJBREREROQvtxswBfGXuvkL4kRERERERL3HVzaIiIiIiPzF39noFUb9vkQXmAGAiRMGI0+I7505n44cIdoHAPXnM8XoX8P5LGRogoDnG7KQrhlvOi8HA1vOZ4pjRuPNfsxNEdbjs4/TAo75GH0fjMbHjB8qRgFtTSkwp7eJc7saLYgWon6OpmREpHWIc53NSXALUT80x8OhifpFG0T9LmiifontkWhNlMctHRGQ8g9pnSY0xmmiftY+RP26NVE2p3HUzzBSxqifX+NXLOqn9FG/dJcLjVEGUT9hPFMT/PPMDTQo2Zeonybcl67ktQIuRg6NQoXCeLq7b0FA6fsPAGkm+fGTFqF/bKUbzdU9TyMCj/6lRDv1QcAYOfqXYnahVQj+XRrXRv00Abxkf6J/ujCf0X2HIMxnifdjrrBe8ei/Ub958bciyhTEqJ9yoMq6LuzON1gG5CsbUtTPKDBz44K78L+v8x3f+38byvC1Rb6DfwDwx/fKsWjhez7H/rpxEeYukIOAmzdehzkLfM8FgK2brsOMBRt9jtVuWiiOXRqXYoN1lQswdb58TjsrF2Dy/M0+x6orZwQc8zH6PhiN/3zePWIU8Iutk5Fdul+ce2ZrMSxzDvsca9pWBPOsI+JcR/UY2Kef9Dlmqh2OhsnyhjFlVy4+G++7bD54fyoOjRE2MQBGH47Hnq/43qgAwMRPYlAzzPfYjE9N2JIv/4+k7IQbm7N9/0AtP9ONzamaqF9TF6oSfO9yyttt2BqtifrZDSJlbn2krNamiZTF6kNj2nhekhzfm5oiB/8AffSvX0b9nJ3aaN9cmxVVSXIsbN4Fmzhe3m4TH1sAMK/DKkb/5tr0QclSpyae59avxxwlh/nmuOS1AoAyh358rsMqPmfKHHJMEOg5J+n5NEfJ338AmBUhBzRnxshjADArWn7szTQbBAFj9Y/5kkTN8ym1E3vOy3OnZFix96zv8eJsK/adkR+XxTly9G9SgU2M4wHAhCEG0b9hclxvgmYMACYM7VuYTzqniYNtYgARACbly+PD0H+jftQ7A3KzQUREREQUEL6Nqlf4C+JERERERBQSfGWDiIiIiMhfbgWY+MqGv7jZICIiIiLyl1IAgtnZ6N+bDb6NioiIiIiIQoKvbBARERER+Um5FVQQ30bV3ysU7Gx8SV/6DhMnFCBXaE4AQP35DLHDUX8+E9mansW585nI0nQ2PvwoIyTNiqtxbl/ve1TR0CvW2bAKnY3YkHc2xKlItyHwzoZD7iRkdLuNmwK6noGmDaBrcAD66/v7c21/Xc+CnY2/C0pnQ3h8ZXTr5+o6HLoGB6DvcKQrP3oWYgtDvx4ZLqPj0rVD+nhOBs+1vnRHxMeWpsEB+NHL0TxXDZ+LUXKHQ9fgAAw6G7GB9yyMxvs0tw+tDEusQXdEM57Qjzsbc6P+N6JMl/89MlBO1Y0tzvA732AZkK9sBNrZ0I3fsGAJ/pfQ4ACAtzbMFTscf3pvPm5YJHc03nlvIa4TGh0AsHFTWUiaFVfj3L7e91Nzl1+Rzkbqrlwcn+A7Npi/L63PnY33h/seKzkGbC2Q/0dSekJhc7bvH6jlZ5zYnGYW585vtKMq0fdOZl5bl74p0GXFdpOmG9CHzsaMWLlJMSPOih0X9J2NnUIPY5rFoJWh6XBMTQ1tZ0O3HiUJIexsaFoYc61WVCXrOxubLb67AeWtXdq55W1yh0PX4AB6Ohxiz6Jbbl0AQJlTHi91dmq/bpndii1x+i7JllihHdLVh3NyGLRDXFZUK+G5ZpLHAGAO5MeWrt8BALOirKjVdDhmxsrP1emaBgcATEuROxxTMqzYWy/PnZxtFbsSk/Jshj2LAyf0HQ5p/oTBxvcdilbGxEE27NOsx6Rcqzg+3N2POxvKjeD+zkYQ7ysM8Xc2iIiIiIgoJAbkKxtERERERIHg72z0DjcbRERERET+4tuoeoWbDSIiIiIiPznRDQTxxQgnuoN3Z2GImw0iIiIiIgMxMTHIyclBzdl3g37fOTk5iImJCfr9hgNuNoiIiIiIDMTGxuL48eNwOORL2QcqJiYGsbHy1cquZuxsfMlA7Er0t7nhelwjxl0Dm0X+4RTbFoNOobMRF+LORpOms5Fm1NmI0Vzb3y63EDJD2NlIM+hspOs6G5EGPQvNuK7B4RnXdTYC7HsYzQ/rzoam06LtbDgM5nbL45ndBk0KXaPDZfy4FdfDqLPhDmVno4/dEbEd4kd3RGp0KBeaNY8tw+expsPhTy9H7GxEO407G5omRVh2NuL8aGUI55xiNu6OSOMWs7zOAJDoljsc4drZoMAMyM2GZCB2Jfrb3HA9rn99cRVOT2oW5+bszcBn49t9jg3enxqyzsaMYyZsHSz/z2DO5wqbc+TORmW6prPRYEdVku+dTHlrl0EXQH/t/1KnFdVu4dr/MLh+f7QVdcL1+2fEWVGn6WyUJFqxs03ubEgNjkvjUktjaqrB3JQQdzaEZsnMGH3vZLapD50NmxWbda2MCzZsThU6G81d4hgAlLd0ifc9v1VucAA9HQ6xZ2GzGbYypPEyRye2xOvXQ3tcnVZUJcrtEGnMMy587Xmd8vkCwDyDRse2KM3ztFt+Hpe65Ocw4MfzOErzPI6Vn6dAz3NiV5PwPE7txJ5z8twpWfrOhtS6AICJBYGP+zNXbGXk27DvjKazMcgmtkWKc63Ye1Zej+IcK/Y0CHOz5TEAGGnfY9jZ4Gajf2Bng4iIiIiIQoKbDSIiIiIiCgluNoiIiIiIKCS42SAiIiIiopDgZoOIiIiIiEKCmw0iIiIiIgqJAXnpW3Y2+u/ccD2uvswdWvgVtGk6GskXItCaKD+NLR2mPnY2TD7HMroUGmPkf6/IsLs1nQ0/ru1v1NkQxvt0ff5QdzZCMBfwo7MhnK9nXFivtEjjzobUWUhHCDsb3S5940XT4fCr0SE9bg2bFIG3MNJd8tcFLq6HMK5bK0B/Trr7BfTn7E+jQ+6OBN7SAXoee+Lj1qizEalp3kQ5tW2I1Bi5WZESKzc4gIsdjgDH/ZmrO65AWxlGnQ1dSyMlhp0N6jEgNxuSq7HfEK7HxfUI3tx7/+/D2DdKDgJO+NiMXZrORvEn0X3obLhRleu7szHvtBOVGZrOxjkHqoTWQXmrTX9t/04btkVqegZ96WxEyd2JmbFW1HXomxRS72J6sv7a/roOx7SUIHQ2hOPuU2fDbEU1DDobQoOh1N0pth0AYG6XH52NNN+Pr/IWu77x0miX5zbZsTlF3+gQ+zDttsB7FlZ9R2Ou1Sp+XQCYd8EmPp/mXbDp17JNM7fdpv265e1yl2RehxVb4nTnZBM7LHO7Am/pAMAcWPF+l+/xWTEGvZwEK3YJ/wIzLaVT24aYkmHFPk2TQmpdAD09i0DHjeZOHCS3NHQdDaDnuKW2yGSDVkZxthV7zgtzM63Y3SjP/YqNnY2Bgm+jIiIiIiKikOBmg4iIiIiIQoKbDSIiIiIiCgluNoiIiIiIKCS42SAiIiIiopDgZoOIiIiIiEJiQF76lp2N/js3XI/rSq7H4DHXyp0NK0Lb2RCu/Z/p8KOzIfQbACDdLV+DP83kR2dDc31+XZNCd/3+ftnZiDBoIZg0nQ1l0Nlw97WzoXnsOdzieM9YCBsd0mNe07oAgHSD3oV2PfzpbITgnHT9DkDf08lwudEkNDiAnseHYYdDeNymm0Lc2QiwSeHXuK6Voels6FoafTkuXUcD0Lc0UgzmJrrY2RgoBuRmQ3I1NhjC9bi4HuExFwDu/sUaVA/zPTbrMxh3NvKEzsYXTlRm6jsb0rX/57fYtNfnN+xsODSdDZMV73cH1tmYEWtFXac8d0acFTuE6/dPTzJoYWg6HNMsxo2OPnU2rJrmQKLcJZkRa0W10nQ2Iq3YFuV7fI67U/s9LnP40dkQWhrlzV36x955uzg+/7zDuNGR6rvDUd7cpW90tHbJj/k2G6oS5fOd2yG3MICLLQ3ha5e3dYnHDPS0Q7TdEaO5FuHrtspNkp7jsmGL1B3ptImNFgAos+sbL3Nc8uN2dqT+eVwSZ8WuFum52KltQ0xNt2LvWaGzkWM17Flox3PkhsekXHkMACblyfet62gA+paGrqMB6FsaU4w6G1Z2NgYKvo2KiIiIiIhCgpsNIiIiIiIKCW42iIiIiIgoJLjZICIiIiKikOBmg4iIiIiIQoKbDSIiIiIiCgluNoiIiIiIKCQGZGeDUb/+Ozdcj4vrEby5fb3vISNHiZG7tEiDqF+kJp6nGQPCN+qXFinH0VIj5XgioI/+pcOljbaltLeG7HtcMPpaNJqFqJ/dLY55xsMsCAj4Ezk0OC7tORkEEgM8J13IMEMT/AMuRv+Mon7CYzMdfYtzaiN20XL0Txf8A/oW1wvlXF24Txft89y3ONdtEPWTfwYw6te/DMjNhuRqjbaF43FxPcJjbrge15U8p+//nyfEyN2MeIOoX7wczytJkIN/gD76pwv+AaGN+s1IsOJ9u7AecXI8EegJJG6PEKJ+sGqjbVMO7g7Z93jJM49hc3aMz7Hycw5s1gQByxvsqMwQgoCNfgQBdfE8IY4HXAzzGUUOpdhga5f+uJq6NOckny/QE0EU44qNdm3kcH5LlxgynNduw1az/PiYa7WJjy0AKHVaUeOUw566x/zMWCt2tsrPxV1NmqhfWqcYuZuSIcfxAGBylnFcTxsMFMaMxotz9MdVrIn6Tc7Sh/l04b4pGTbtWl7bqf8ZADDq11/wbVRERERERBQS3GwQEREREVFIcLNBREREREQhwc0GERERERGFBDcbREREREQUEtxsEBERERFRSAzIS9+ys9F/54brcXE9gjc3XI9ryDWjrlxnQ3ffmgYHACQ55Gvd83vsTdfvAPxodOg6GkYdDsPOhkEroy/dEd3cAM8p0+FHZ8Ok6Wy4DTobQjsGANJMBs/Fbn3TRuxKaBocgHGzQtfpSFBtAT9uh464NoSdDbmloetoGB0zOxv9y4DcbEgGYnOgv80N1+PiegRvbrge19LVT+hbGMl962wYdjiExsf0ZH07ZGyDfK17fo+9LXnmscAbHZpeBXCxWSF0NICelobY8GiROxoAML/Jjs1ZQnekwSE2SQB9l6T8nB/nJLRD5rfYsCVeflzO67BhW5Q8XmaXGzBzYEWtTdPZiNE8F5Os2NWiea6lyB2OqWmd+iaFQYdjSqY8fo1jT8CP23t+/LhxZ0Noh0zWdDR6jlluaRh1NIyeiwA7G/0F30ZFREREREQhwc0GERERERGFBDcbREREREQUEtxsEBERERFRSHCzQUREREREIcHNBhERERERhcSAvPQtOxv9d264HhfXI3hzw/W4uB7Bmxuux1UwxqCz0WXQpDBqYeiaFd2BdzbSGtsDPyddZ6PL4Jw0HY7MboPOhtONpghNZ8PlQhOEzobSdzbSIzSdjUg/mjZChyPVqLOhaXQAQKJbbmmE6/NlyDWj2NkgQwNysyG5Gq/7Hq7HxfUIj7nhelw8p+DNDdfj6o/ntORnj+mbFGcdcs/inAOVmkbH/AaDZkWTPeDOxszNB/TnlHP5P7557vtst3jO5fUG53TOIbZD5jd1oSpR7jeUt9uwNVrT2eiyohpCZ8NlxfsOee7sKLk9UxJv0LRJljsc01IMOhvpcs8CAEZ2yS2NcH2+/GDVE9jVLHQ2OtjZoB58GxUREREREYUENxtERERERBQS3GwQEREREVFIcLNBREREREQhwc0GERERERGFBDcbREREREQUEgPy0rfsbPTfueF6XFyP4M0N1+PiegRvbrgel9FcXbNC1+AALnU4NN0Jh9zZSGuS+wyAP+0Qk+a4VN/OSWqDOFxojJLP17DD4XLrOxtK09mAC80uYS2NOhuRcmcjyRl4V8JofKDNZWejfxmQmw1JuF7H+mo8Lq5HeMwN1+PiOQVvbrge10A8J12HQ9fgAIDyc92o1HQ25jfKnY0ZW/f3oR3yKKry5M7GvDNOscNRXi83ODzjwjmVn7ejKilOnttmw5ZYuUkxr9OG7RG+x0udVtQ4NZ0NkxW1Nt/jM2OtqLsgzy1JsGJXq+/xUW1960pcjY/5UP4MANjZ6C/4NioiIiIiIgoJbjaIiIiIiCgkuNkgIiIiIqKQ6NNmo6KiAiaTCffff794m5qaGsycORPp6emIi4vDqFGj8Nxzz112u9bWVixbtgy5ubmIjY3F6NGj8e6773rGhw4dCpPJdNnHsmXL+nIKREREREQUIlGBTty9ezdeeuklFBUVaW+XkJCA5cuXo6ioCAkJCaipqcHSpUuRkJCA73//+wAAh8OBBQsWICsrC2+99Rby8/Nx6tQpJCUleX09l8vl+fPhw4exYMECfOtb3wr0FIiIiIiIKIQC2mx0dHRg8eLFePnll/HEE09obztx4kRMnDjR8+ehQ4di/fr1qK6u9mw2XnnlFTQ3N6O2ttZzSdohQ4Z43U9mZqbXn59++mmMGDECpaWlgZwCERERERGFWECXvv3Od76DtLQ0PPfccygrK8OECRPw/PPP+zV3//79uP766/HEE0/ge9/7HgDghhtuQFpaGuLj4/GXv/wFmZmZuP3227Fq1SpE+rjOtsPhQF5eHh544AH85Cc/Eb+W3W6H3W73/Lm9vR0FBQXsbPTjueF6XFyP4M0N1+PiegRvbrgeV586G3Z9kyKtoT2Mz8l3h0PX4AAudjhiNOshNDgAPzobTjeaTEJnw+0SGxwAkKFcaHYLnY0IucEBAMl2uaUxEB/z7GyQP3r9ysa6deuwb98+7N69u1fz8vPzcf78eTidTqxZs8az0QCAzz77DFVVVVi8eDHeffddHD16FMuWLYPT6cRPf/rTy+7rz3/+M1pbW/Hd735X+zUrKirw6KOPXvb5t956y+ftr9ZrUYfjcXE9wmNuuB4Xzyl4c8P1uAbiOfV0NoQmxTl9k2LG/tNhek6PoirX9znNq3eK5wv0dDYqM313Nuafc2BzSqw4d35zF6oS5N5FebsNW6N9j5fZrahW8txStxXv24XORowVdVZ5buHZD/mY/yfMpf6lV5uNU6dOYeXKldi4cSNiY+UfEr5UV1ejo6MDO3bswIMPPohrrrkGt912GwDA7XYjKysLL730EiIjI1FcXIwzZ87g5z//uc/Nxm9/+1tcf/31yMvL037N1atX44EHHvD8+dIrG0REREREFHq92mzs3bsXDQ0NKC4u9nzO5XJh+/bteOGFF2C3232+7QkAhg0bBgAYN24czp07hzVr1ng2G7m5uYiOjvaaO3r0aJw9exYOhwMxMX//16ATJ06gsrIS69evNzxes9kMs1kushIRERERUej0arNRXl6OQ4cOeX3uzjvvxKhRo8Tfr/BFKeX1uxQzZ87E66+/DrfbjYiInvd3HjlyBLm5uV4bDQBYu3YtsrKycOONN/bm0ImIiIiI6J+sV5uNpKQkFBYWen0uISEB6enpns+vXr0ap0+fxmuvvQYAePHFFzF48GCMGjUKQE9349lnn8WKFSs893HPPffgV7/6FVauXIkVK1bg6NGjeOqpp3Dfffd5fS232421a9fiO9/5DqKiAr5qLxERERER/RME/W/s9fX1OHnypOfPbrcbq1evxvHjxxEVFYURI0bg6aefxtKlSz23KSgowMaNG/HDH/4QRUVFGDRoEFauXIlVq1Z53XdlZSVOnjyJJUuWBPuwiYiIiIgoyPq82di6davXn1999VWvP69YscLrVQxJSUkJduzYob3NwoULEcCVeomIiIiI6AqQL5BNRERERETUBwFF/a5W7e3tsFgsjPr147nhelxcj+DNDdfj4noEb264HhfXw5suYghcjPrpIoeaqF+Gw4XGqMCifxkutzbql9IRmjBff/weM+pHQaEGkLa2NgVA/LjtttsCHr9Sc8P1uLge4TE3XI+L58T1uBqPi+vh/bHkZ4+pIf9dIX4seeYxNWTt0z4/llQ8rob85mfix5InH1dD//1Z8eOuxx9XI372C58f31vzhBr5+C/Fj3Bcy3D9Hl/J9QCg2trarvRfHSkI+DYqIiIiIiIKCW42iIiIiIgoJLjZICIiIiKikOBmg4iIiIiIQoKbDSIiIiIiCgluNoiIiIiIKCTY2fiSq/Fa1OF6XFyP8JgbrsfFcwre3HA9Lp5T8OaG63EZzS0YLXc4MuxuNMZoOht2l7bDoetspLa2heV6hOv3KRznsrPRz1zpa+/+M7Gz0f/nhutxcT14TlyP8Ljvq3FuuB6X0dwlzzymhrz6tM+PJU8/rga//DPxY8lTj6shL/5c/LjricfVsOd/4fMjXNfjajwudjYoGPg2KiIiIiIiCgluNoiIiIiIKCS42SAiIiIiopDgZoOIiIiIiEKCmw0iIiIiIgoJbjaIiIiIiCgk2Nn4kqvxWtThelxcj/CYG67HxXMK3txwPS6eU/DmhutxcT2CNzdcj4udDQqKK33t3X8mdjb6/9xwPS6uB8+J6xEe9301zg3X4+J68JzY2SB/8G1UREREREQUEtxsEBERERFRSHCzQUREREREIcHNBhERERERhQQ3G0REREREFBIDarOhDK7y293dHfD4lZobrsfF9QiPueF6XDyn4M0N1+PiOQVvbrgeF9cjeHPD9biu5HoAxn9vo6vDgOpsfPHFFygoKLjSh0FEREREBk6dOoX8/PwrfRjURwNqs+F2u3HmzBkkJSXBZDJd6cP5p2hvb0dBQQFOnTrFME4QcD2Di+sZXFzP4OJ6BhfXM7j683oqpXDhwgXk5eUhImJAvQmnX4q60gfwzxQRETFgd8jJycn97ofRlcT1DC6uZ3BxPYOL6xlcXM/g6q/rabFYrvQhUJBwu0hERERERCHBzQYREREREYUENxv9nNlsxiOPPAKz2XylD6Vf4HoGF9czuLiewcX1DC6uZ3BxPelqMaB+QZyIiIiIiP55+MoGERERERGFBDcbREREREQUEtxsEBERERFRSHCzQUREREREIcHNBhERERERhQQ3G1dQRUUFpkyZgqSkJGRlZeHrX/86/va3v3ndZv369Vi0aBEyMjJgMplw4MCBy+6nrKwMJpPJ6+PWW2/1uk1LSwvuuOMOWCwWWCwW3HHHHWhtbfW6zcmTJ/HVr34VCQkJyMjIwH333QeHw+F1m0OHDqG0tBRxcXEYNGgQHnvsMYTLBc2CtZ4AUFdXh3nz5iEhIQEpKSkoKyuDzWbzjHM9exit5+eff37ZY/PSx5tvvum5Hdezhz+Pz7Nnz+KOO+5ATk4OEhISMGnSJLz11ltet+F69vBnPT/99FN84xvfQGZmJpKTk3HLLbfg3LlzXrfhegLd3d1YtWoVxo0bh4SEBOTl5eHb3/42zpw543U/drsdK1asQEZGBhISEnDzzTfjiy++8LoN19P/9XzppZdQVlaG5ORkmEymy9YJGBjrSVc5RVfMokWL1Nq1a9Xhw4fVgQMH1I033qgGDx6sOjo6PLd57bXX1KOPPqpefvllBUDt37//svspLS1Vd999t6qvr/d8tLa2et3muuuuU4WFhaq2tlbV1taqwsJCddNNN3nGnU6nKiwsVHPnzlX79u1TmzZtUnl5eWr58uWe27S1tans7Gx16623qkOHDqk//vGPKikpST377LPBX5wABGs9a2trVXJysqqoqFCHDx9WR44cUW+++abq6ury3Ibr2cNoPZ1Op9fjsr6+Xj366KMqISFBXbhwwXM7rmcPfx6f8+fPV1OmTFE7d+5Un376qXr88cdVRESE2rdvn+c2XM8eRuvZ0dGhhg8frr7xjW+ogwcPqoMHD6qvfe1rasqUKcrlcnlux/VUqrW1Vc2fP1+98cYb6pNPPlF1dXVq2rRpqri42Ot+fvCDH6hBgwapTZs2qX379qm5c+eq8ePHK6fT6bkN19P/9XzuuedURUWFqqioUABUS0vLZV9rIKwnXd242QgjDQ0NCoDatm3bZWPHjx/XbjZWrlwp3u9HH32kAKgdO3Z4PldXV6cAqE8++UQppdS7776rIiIi1OnTpz23+cMf/qDMZrNqa2tTSin161//WlksFq+/dFdUVKi8vDzldrt7e7ohF+h6Tps2TT300EPi/XI9e7ee/2jChAlqyZIlnj9zPXu3ngkJCeq1117z+lxaWpr6r//6L6UU17M36/nee++piIgIzzkrpVRzc7MCoDZt2qSU4nr6Ws9Ldu3apQCoEydOKKV6/gIdHR2t1q1b57nN6dOnVUREhNqwYYNSiuvZm/X8si1btvjcbAzU9aSrC99GFUba2toAAGlpab2e+/vf/x4ZGRkYO3YsfvSjH+HChQuesbq6OlgsFkybNs3zuenTp8NisaC2ttZzm8LCQuTl5Xlus2jRItjtduzdu9dzm9LSUq9a6aJFi3DmzBl8/vnnvT7mUAtkPRsaGrBz505kZWVhxowZyM7ORmlpKWpqajy34Xr2/vF5yd69e3HgwAHcddddns9xPXu3nrNmzcIbb7yB5uZmuN1urFu3Dna7HWVlZQC4nr1ZT7vdDpPJ5HWOsbGxiIiI8DznuZ7yera1tcFkMiElJQVAz/O7u7sbCxcu9NwmLy8PhYWFXmvF9ZRv8+X19MdAXU+6unCzESaUUnjggQcwa9YsFBYW9mru4sWL8Yc//AFbt27Fww8/jD/+8Y/45je/6Rk/e/YssrKyLpuXlZWFs2fPem6TnZ3tNZ6amoqYmBjtbS79+dJtwkWg6/nZZ58BANasWYO7774bGzZswKRJk1BeXo6jR48C4Hr29vH5Zb/97W8xevRozJgxw/M5rmfv1vONN96A0+lEeno6zGYzli5dij/96U8YMWIEAK5nb9Zz+vTpSEhIwKpVq2C1WtHZ2Ykf//jHcLvdqK+vB8D1lNazq6sLDz74IG6//XYkJycD6DmPmJgYpKamet02Ozvbax24npfztZ7+GIjrSVefqCt9ANRj+fLlOHjwoNe/oPvr7rvv9vx3YWEhRo4cicmTJ2Pfvn2YNGkSAMBkMl02Tynl9flAbqMu/vKYr7lXUqDr6Xa7AQBLly7FnXfeCQCYOHEiNm/ejFdeeQUVFRUAuJ6BsNlseP311/Hwww9fNsb19N9DDz2ElpYWVFZWIiMjA3/+85/xrW99C9XV1Rg3bhwArqe/MjMz8eabb+Kee+7Bv//7vyMiIgK33XYbJk2ahMjISM/tuJ7euru7ceutt8LtduPXv/614f0FY638uc1AWc9/NNDWk64+fGUjDKxYsQJvv/02tmzZgvz8/D7f36RJkxAdHe35l/icnJzLrq4CAOfPn/f8y0VOTs5l/3rR0tKC7u5u7W0aGhoA4LJ/EbmS+rKeubm5AIAxY8Z4fX706NE4efIkAK5noN566y1YrVZ8+9vf9vo819N/n376KV544QW88sorKC8vx/jx4/HII49g8uTJePHFFwFwPXtr4cKF+PTTT9HQ0IDGxkb87ne/w+nTpzFs2DAAXM9/1N3djVtuuQXHjx/Hpk2bvP4VPicnBw6HAy0tLV5zGhoavNaB6/l3uvX0x0BbT7o6cbNxBSmlsHz5cqxfvx5VVVWe/7n11Ycffoju7m7PX5xLSkrQ1taGXbt2eW6zc+dOtLW1ed7OUlJSgsOHD3veOgAAGzduhNlsRnFxsec227dv97pc3saNG5GXl4ehQ4cG5dj7IhjrOXToUOTl5V12Cc0jR45gyJAhALiegfrtb3+Lm2++GZmZmV6f53r6z2q1AgAiIrx/dEdGRnpeleN6BiYjIwMpKSmoqqpCQ0MDbr75ZgBczy+79Bfjo0ePorKyEunp6V7jxcXFiI6OxqZNmzyfq6+vx+HDh73WiuvZw2g9/TFQ1pOucqH9/XPSueeee5TFYlFbt271ujSo1Wr13KapqUnt379fvfPOOwqAWrdundq/f7+qr69XSil17Ngx9eijj6rdu3er48ePq3feeUeNGjVKTZw48bJLDRYVFam6ujpVV1enxo0b5/PSeOXl5Wrfvn2qsrJS5efne10ar7W1VWVnZ6vbbrtNHTp0SK1fv14lJyeHzaXxgrGeSvVcajA5OVm9+eab6ujRo+qhhx5SsbGx6tixY57bcD17+LOeSil19OhRZTKZ1F//+lefX4vr2cNoPR0Oh7rmmmvU7Nmz1c6dO9WxY8fUs88+q0wmk3rnnXc898P17OHP4/OVV15RdXV16tixY+p3v/udSktLUw888IDX1+J6KtXd3a1uvvlmlZ+frw4cOOB1G7vd7rmfH/zgByo/P19VVlaqffv2qXnz5vm89C3X07/1rK+vV/v37/dcvnn79u1q//79qqmpyXObgbCedHXjZuMKAuDzY+3atZ7brF271udtHnnkEaWUUidPnlRz5sxRaWlpKiYmRo0YMULdd999Xj+IlOr5n+7ixYtVUlKSSkpKUosXL77sEnonTpxQN954o4qLi1NpaWlq+fLlXpfBU0qpgwcPqtmzZyuz2axycnLUmjVrwuayeMFYz0sqKipUfn6+io+PVyUlJaq6utprnOvZw9/1XL16tcrPz/dqF3wZ17OHP+t55MgR9c1vflNlZWWp+Ph4VVRUdNmlcLmePfxZz1WrVqns7GwVHR2tRo4cqX7xi19cdo5cz79fPtjXx5YtWzz3Y7PZ1PLly1VaWpqKi4tTN910kzp58qTX1+J6+r+ejzzyiOHjfCCsJ13dTEoxD0lERERERMHH39kgIiIiIqKQ4GaDiIiIiIhCgpsNIiIiIiIKCW42iIiIiIgoJLjZICIiIiKikOBmg4iIiIiIQoKbDSIiIiIiCgluNoiIiIiIKCS42SAiIiIiopDgZoOIiIiIiEKCmw0iIiIiIgqJ/w/H2rrUZgm33gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hds = gwf.output.head()\n",
    "heads = hds.get_alldata()[-1]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "pmv = flopy.plot.PlotMapView(modelgrid=modelgrid, ax=ax)\n",
    "pc = pmv.plot_array(heads, cmap='viridis', masked_values=[1e30, -1e30])\n",
    "pmv.plot_grid(lw=0.5)\n",
    "pmv.plot_inactive()\n",
    "plt.colorbar(pc, shrink=0.7)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "20c39c28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vqKgoJSYm6r777tOhQ4e8xklPT5fD4fC6JkyY4BVTXV2t7OxsOZ1OOZ1OZWdn68SJE37Nl6QHAAAAAADB6NLpLYG4bCopKdGUKVNUWlqq4uJinT9/XhkZGTp9+rQk6cyZMyovL9djjz2m8vJyFRQU6IMPPlBmZmajsXJycnT48GHrWrRokdf9rKwsVVRUqKioSEVFRaqoqFB2drZf3yK2twAAAAAAEIRMg0MmAP04Lo1RU1Pj9XhERIQiIiK8HisqKvL6eunSpXK5XCorK9OIESPkdDpVXFzsFTN//nzdfPPN+uSTT/TVr37Verxr165yu91Nzmn37t0qKipSaWmpBg8eLElavHix0tLSVFlZqT59+th6b1R6AAAAAAAAJSUlWVtJnE6n8vLyfD7H4/FIkmJjY68Y43A41K1bN6/H8/PzFRcXp379+mnWrFk6efKkdW/z5s1yOp1WwkOShgwZIqfTqU2bNtl+T1R6AAAAAAAQjIz82ppyxXEkHThwQDExMdbDX6zyaPQ0YzRjxgwNHz5cKSkpTcacO3dOjzzyiLKysrzGnjhxopKTk+V2u7Vjxw7Nnj1b7733nlUlUlVVJZfL1Wg8l8ulqqoq22+NpAcAAAAAAEEo0Ke3xMTEeCUmfMnNzdX27du1cePGJu/X19drwoQJamho0MKFC73u5eTkWL9OSUlR7969NXDgQJWXlys1NVWS5HA0fm/GmCYfvxy2twAAAAAAAL9MnTpVhYWF2rBhg3r16tXofn19vcaPH6/9+/eruLjYZzIlNTVVYWFh2rt3ryTJ7XbryJEjjeKOHTum+Ph42/Mk6QEAAAAAQDBqcATusskYo9zcXBUUFGj9+vVKTk5uFHMp4bF3716tW7dOPXr08Dnuzp07VV9fr4SEBElSWlqaPB6Ptm7dasVs2bJFHo9HQ4cOtT1ftrcAAAAAABCEjLl4BWIcu6ZMmaIVK1Zo7dq1io6OtvprOJ1ORUZG6vz58/r+97+v8vJyvfrqq7pw4YIVExsbq/DwcO3bt0/5+fm68847FRcXp127dmnmzJkaMGCAhg0bJknq27evRo8erZycHOso28mTJ2vs2LG2T26RJIcxgfgWAQAAAACAL0NNTY2cTqcO/jRDMV3CWj7euXr1+vkb8ng8PrehXK6fxtKlSzVp0iR99NFHTVZ/SNKGDRuUnp6uAwcO6N///d+1Y8cOnTp1SklJSRozZozmzJnjdQrMP//5T02bNk2FhYWSpMzMTC1YsKDRKTBXnC9JDwAAAAAAgselpMeBR0cFLOmR9Iu/2kp6BBu2twAAAAAAEIz87MdxxXFCFI1MAQAAAABASKLSAwAAAACAIGSMQ8a0vEojEGO0VyQ9AAAAAAAISg4pIAmL0E16sL0FAAAAAACEJCo9AAAAAAAIQmxv8Y2kBwAAAAAAwYjTW3xiewsAAAAAAAhJVHoAAAAAABCEjLl4BWKcUEXSAwAAAACAIERPD9/Y3gIAAAAAAEISlR4AAAAAAAQj47h4BWKcEEXSAwAAAACAYNTgkOH0litiewsAAAAAAAhJVHoAAAAAABCEaGTqG0kPAAAAAACCET09fGJ7CwAAAAAACEkhW+nR0NCgQ4cOKTo6Wg5H6GatAAAAAADejDE6efKkEhMT1alT6P5bP9tbfAvZpMehQ4eUlJTU1tMAAAAAALSRAwcOqFevXm09jVZjGi5egRgnVIVs0iM6OlrSxd/kMTExbTwbAAAAAMCXpaamRklJSdbnQnRcIZv0uLSlJSYmhqQHAAAAAHRAId/qgEamPoVs0gMAAAAAgFBGTw/fQrejCwAAAAAA6NCo9AAAAAAAIAhR6eEbSQ8AAAAAAIIRPT18YnsLAAAAAAAISVR6AAAAAAAQhIyRTEMgtrcEYDLtFEkPAAAAAACCED09fGN7CwAAAAAACElUegAAAAAAEIzMZ1cgxglRJD0AAAAAAAhCbG/xje0tAAAAAAAgJFHpAQAAAABAEKLSwzeSHgAAAAAABCHT4AjMkbUBGKO9YnsLAAAAAAAISX4lPfLy8jRo0CBFR0fL5XJp3Lhxqqys9IqZNGmSHA6H1zVkyBCvmNraWk2dOlVxcXGKiopSZmamDh486BVTXV2t7OxsOZ1OOZ1OZWdn68SJE817lwAAAAAAhBrjCNwVovxKepSUlGjKlCkqLS1VcXGxzp8/r4yMDJ0+fdorbvTo0Tp8+LB1vf766173p0+frjVr1mjlypXauHGjTp06pbFjx+rChQtWTFZWlioqKlRUVKSioiJVVFQoOzu7BW8VAAAAAIDQcamnRyCuUOVXT4+ioiKvr5cuXSqXy6WysjKNGDHCejwiIkJut7vJMTwej5YsWaJly5bp9ttvlyQtX75cSUlJWrdunUaNGqXdu3erqKhIpaWlGjx4sCRp8eLFSktLU2Vlpfr06dNo3NraWtXW1lpf19TU+PPWAAAAAABAiGlRTw+PxyNJio2N9Xr8b3/7m1wul6699lrl5OTo6NGj1r2ysjLV19crIyPDeiwxMVEpKSnatGmTJGnz5s1yOp1WwkOShgwZIqfTacV8UV5enrUVxul0KikpqSVvDQAAAACAdo1KD9+anfQwxmjGjBkaPny4UlJSrMfvuOMO5efna/369Xr66af1zjvv6LbbbrOqMKqqqhQeHq7u3bt7jRcfH6+qqiorxuVyNXpNl8tlxXzR7Nmz5fF4rOvAgQPNfWsAAAAAALR7xgTusstXr8/6+no9/PDD6t+/v6KiopSYmKj77rtPhw4d8hrny+r12eykR25urrZv366XXnrJ6/F77rlHY8aMUUpKir7zne/oL3/5iz744AO99tprVxzPGCOH41/Zpc//+nIxnxcREaGYmBivCwAAAAAABI6vXp9nzpxReXm5HnvsMZWXl6ugoEAffPCBMjMzvcb5snp9+tXT45KpU6eqsLBQb731lnr16nXF2ISEBH3ta1/T3r17JUlut1t1dXWqrq72qvY4evSohg4dasUcOXKk0VjHjh1TfHx8c6YMAAAAAEBICdTWlEtjfLE3ZkREhCIiIrwe89Xr0+l0qri42Ctm/vz5uvnmm/XJJ5/oq1/9aqv1+myKX5Uexhjl5uaqoKBA69evV3Jyss/nHD9+XAcOHFBCQoIk6aabblJYWJjXN+Hw4cPasWOHlfRIS0uTx+PR1q1brZgtW7bI4/FYMQAAAAAAdGgNjsBdkpKSkrx6Zebl5fmcwuV6fX4xxuFwqFu3bpJar9dnU/yq9JgyZYpWrFihtWvXKjo62uqv4XQ6FRkZqVOnTmnu3Ln63ve+p4SEBH300Uf6yU9+ori4OH33u9+1Yu+//37NnDlTPXr0UGxsrGbNmqX+/ftbGZ6+fftq9OjRysnJ0aJFiyRJkydP1tixY21ncwAAAAAAgH0HDhzwahXxxSqPL7pcr8/PO3funB555BFlZWVZY7dWr8+m+JX0eO655yRJ6enpXo8vXbpUkyZNUufOnfX+++/rj3/8o06cOKGEhATdeuutevnllxUdHW3FP/vss7rqqqs0fvx4nT17ViNHjtQLL7ygzp07WzH5+fmaNm2alfnJzMzUggUL/JkuAAAAAAAhK9DbW/ztj3mp1+fGjRubvF9fX68JEyaooaFBCxcutDGPlvX6bIpfSQ/jo6VrZGSk/vrXv/ocp0uXLpo/f77mz59/2ZjY2FgtX77cn+kBAAAAANBhBDrp4Q9fvT7r6+s1fvx47d+/X+vXr/dKpnyZvT6bfXoLAAAAAADoWOz0+ryU8Ni7d6/WrVunHj16eN3/Mnt9Nuv0FgAAAAAA0LbaotLDV6/P8+fP6/vf/77Ky8v16quv6sKFC1ZMbGyswsPDv9RenyQ9AAAAAAAISoFJekj2x/DV6/PgwYMqLCyUJN14441eMRs2bLCe92X1+nQYX406glRNTY2cTqc8Ho9fjVgAAAAAAMEt1D8PXnp/5ePv11fCwls83qn6OqX+z5KQ/H5R6QEAAAAAQDAyjotXIMYJUSQ9AAAAAAAIQqbh4hWIcUIVp7cAAAAAAICQRKUH0EKrV69WfX29rdiwsDB9//vfb+UZAQAAAOgI2uL0lmBD0gNogsNh/4f+6aef1owZM2zHvvTSS7ZiSZAAAAAAuBKSHr6R9ABa6MKFo/LUfd1WrDE/0r333msr1m5yBAAAAADQNJIe8OJPhcOqVauoRPCTMZ/qlOebNqPntOpcAAAAAAQ3Kj18I+mBZrPbx6K98Ceh0x4cOnSIrTAAAAAALsuYwCQsjAnAZNopkh5otqysLGVlZQV8XCpILmo4f0x3pS2yFVuw+fFWng0AAAAABB+SHh1AsFU43H333W09BQAAAABo/4zj4hWIcUIUSQ8gBLAVBgAAAOh46OnhG0kPIASYumO65+rFtmJf/ogGqQAAAAA6BpIeQSrYtqwAAAAAAAKLSg/fSHoAAAAAABCETMPFKxDjhCqSHkAHc+h/t2vF02/big3/2m30/wAAAAAQtDr5E5yXl6dBgwYpOjpaLpdL48aNU2VlpXW/vr5eDz/8sPr376+oqCglJibqvvvu06FDh7zGSU9Pl8Ph8LomTJjgFVNdXa3s7Gw5nU45nU5lZ2frxIkTzX+nACRdLF27p9e7tq76+vq2ni4AAACAy7i0vSUQV6jyq9KjpKREU6ZM0aBBg3T+/Hk9+uijysjI0K5duxQVFaUzZ86ovLxcjz32mG644QZVV1dr+vTpyszM1Lvvvus1Vk5Ojn72s59ZX0dGRnrdz8rK0sGDB1VUVCRJmjx5srKzs/XKK680970C8NOhD7drxRN/txUb/o10qkIAAACALxE9PXzzK+lxKQFxydKlS+VyuVRWVqYRI0bI6XSquLjYK2b+/Pm6+eab9cknn+irX/2q9XjXrl3ldrubfJ3du3erqKhIpaWlGjx4sCRp8eLFSktLU2Vlpfr06dPoObW1taqtrbW+rqmp8eetAWiCkUN399huK3Z1/bBWng0AAAAA+KdFPT08Ho8kKTY29ooxDodD3bp183o8Pz9fy5cvV3x8vO644w7NmTNH0dHRkqTNmzfL6XRaCQ9JGjJkiJxOpzZt2tRk0iMvL0+PP/54S95Om+NEFgSzf+x9X8t/Xmortss3v0VVCAAAANBCVHr41uykhzFGM2bM0PDhw5WSktJkzLlz5/TII48oKytLMTEx1uMTJ05UcnKy3G63duzYodmzZ+u9996zqkSqqqrkcrkajedyuVRVVdXka82ePVszZsywvq6pqVFSUlJz3x4APxnj0F1dKn0HSlpbP6SVZwMAAACEPpIevjU76ZGbm6vt27dr48aNTd6vr6/XhAkT1NDQoIULF3rdy8nJsX6dkpKi3r17a+DAgSovL1dqaqqkpqsejDGXrYaIiIhQREREc98OgC/RoUOH9NJLL9mKDQsLoyoEAAAAQLM0K+kxdepUFRYW6q233lKvXr0a3a+vr9f48eO1f/9+rV+/3qvKoympqakKCwvT3r17lZqaKrfbrSNHjjSKO3bsmOLj45szZQDtSMPJao3eaa9BalG/u1t5NgAAAEBwotLDN7+OrDXGKDc3VwUFBVq/fr2Sk5MbxVxKeOzdu1fr1q1Tjx49fI67c+dO1dfXKyEhQZKUlpYmj8ejrVu3WjFbtmyRx+PR0KFD/ZkyAAAAAAAhiSNrffOr0mPKlClasWKF1q5dq+joaKu/htPpVGRkpM6fP6/vf//7Ki8v16uvvqoLFy5YMbGxsQoPD9e+ffuUn5+vO++8U3Fxcdq1a5dmzpypAQMGaNiwi6c/9O3bV6NHj1ZOTo4WLVok6eKRtWPHjm2yiWl7RnNSoGUO7t6lpT95yFZsdOrNbIUBAAAAYPEr6fHcc89JktLT070eX7p0qSZNmqSDBw+qsLBQknTjjTd6xWzYsEHp6ekKDw/Xm2++qV//+tc6deqUkpKSNGbMGM2ZM0edO3e24vPz8zVt2jRlZGRIkjIzM7VgwQJ/3x+AIGckZZxovN2tKW/V17fuZAAAAID2xDikhgD8QzuVHhcZY654/+qrr/YZk5SUpJKSEp+vFRsbq+XLl/szPQAAAAAAAEuzT2/pyNiyArRPB3bu1u9//BNbsd0Gp7IVBgAAAEGNRqa+kfQAWqhTp556/U+/sBXrcFS07mQ6OOOQbjnksRX7LlthAAAAEORIevhG0gNoocTERN177722YpctW9/Ks4FdH+/Yo99Nf8xWbNzwG6gKAQAAAIIQSQ+gCU899ZQSExNtxYaFhdkeNzJylF55/TZbsZ2oCmlVRtLNe+tsxVYOpioEAAAA7Y8xF69AjBOqSHp8hj4dF/nzYT8rK6uVZ9N2/Kne8Ic/1QL5S6gKaS8+2v6BFvz9cVux7vR+VIUAAADgyxGg7S2c3oIOw58P+6Gc9GgPIpyjVLDZXlWIQxWtO5kOzjik6ys62Yr9xzCqQgAAAID2gqQHmm3VqlWqt9kMsj0kSFpry0pr8adaYMVCqkLai/3vfaDfvPV/bcUmjuxLVQgAAACajUamvoV80sPpdLb1FEKWPx/WwsLCbCdIqqqq5Ha7Ax4bFhbGB0y0PofU951wW6HvOHfpV8W+T/7p9e0+/N4FAABAIyQ9fAv5pAfaR4UDH9iAxoxDumZTV59x73XbpWf+Os/WmF8ddS0/bwAAAMBnSHp0AK3VlBPtR7hrlF7+yG7/j+2tPBsEmnFIV78dYyt2V+xuPVWUZyv2XPfzijhuL9GZfOc1JFMAAADaGSo9fCPpAYQAv/p/PP12K84Ebc5h1Gt9d1uhH959TO51PWzF7onbrSdfe8JW7NfHfIMECQAAwJfANDhkGgKQ9AjAGO0VSY8g1R62rADoOIxD6vnXnrZid8ft0X+/+qSt2GvGfp0ECQAAAFoNSY8gxZYVAO2Ww6j7a/G2Qnf13KN5hb+0FXttZjIJEgAAgM8xJjBbU4wJwGTaKZIeQAcT/rXb9D/137IV69D7rTwbdHgO6StrE2yF7nTt0e4/P2Urtu+4q0mQAACAkNcWPT3y8vJUUFCgPXv2KDIyUkOHDtUTTzyhPn36WDEFBQVatGiRysrKdPz4cW3btk033nij1zjp6ekqKSnxeuyee+7RypUrra+rq6s1bdo0FRYWSpIyMzM1f/58devWzfZ8SXoAHYw/HwRXrw7T6vr+tmJJkKDVOaTwP/2brdD6MfaOyA51q1evtn1cOMd6AwAAO0pKSjRlyhQNGjRI58+f16OPPqqMjAzt2rVLUVFRkqTTp09r2LBhuvvuu5WTk3PZsXJycvSzn/3M+joyMtLrflZWlg4ePKiioiJJ0uTJk5Wdna1XXnnF9nxJegC4LH8+AC3/eWkrzgTwT+W7/6s5rzxtK7b/XV9r8w/7/iQnqqqq5Ha7bcUePnxYM2bMsBX79NNP66WXXrIVS4IEAID2IdCVHjU1NV6PR0REKCIiwuuxSwmIS5YuXSqXy6WysjKNGDFCkpSdnS1J+uijj674ul27dr3s32t2796toqIilZaWavDgwZKkxYsXKy0tTZWVlV6VJVdC0qMdoTkpglmXb35La+uH2Ip1VO5s5dmgw+tkdOHlXrZC30+o1HsF9hIksYM62U447H7nf3W+qout2LCEs/I809tWrHPWaX08o5Ot2JhZZzTV8bKt2K/90tjuFWU3OQIAAFpXoJMeSUlJXo/PmTNHc+fOveJzPR6PJCk2Ntbv183Pz9fy5csVHx+vO+64Q3PmzFF0dLQkafPmzXI6nVbCQ5KGDBkip9OpTZs2kfQIRjQnRTDz5199/zjH3r88A1+KTkbnVtpLkFT/2159aDPh0GOW0cmX7I0bO2uvrbjWVHPknB5wrPQdKCl9RStPBgAAtIkDBw4oJibG+vqLVR5fZIzRjBkzNHz4cKWkpPj1WhMnTlRycrLcbrd27Nih2bNn67333lNxcbGki9WtLper0fNcLpeqqqpsvw5JDwAA4Jdd7+7TQ6/Yayp78100lQUAoLUEutIjJibGK+nhS25urrZv366NGzf6/Zqf7/WRkpKi3r17a+DAgSovL1dqaqokyeFo/N6MMU0+fjl+JT3sdGk1xujxxx/X888/r+rqag0ePFi//e1v1a9fPyumtrZWs2bN0ksvvaSzZ89q5MiRWrhwoXr1+te/iAWiSyuA9qlr/6Eqqh9kK9axe1crzwaA3zpJh1fabCr7HZrKAgDQWtri9JZLpk6dqsLCQr311lten+WbKzU1VWFhYdq7d69SU1Pldrt15MiRRnHHjh1TfHy87XH9SnrY6dL65JNP6plnntELL7yga6+9Vj//+c/17W9/W5WVldbenOnTp+uVV17RypUr1aNHD82cOVNjx45VWVmZOnfuLCkwXVoBtE/+/Kvv0p881IozAdDadry7T//vK7+0FTvsrmSqQgAAaOeMMZo6darWrFmjv/3tb0pOTg7IuDt37lR9fb0SEhIkSWlpafJ4PNq6datuvvlmSdKWLVvk8Xg0dOhQ2+P6lfTw1aXVGKNf/epXevTRR3XXXXdJkl588UXFx8drxYoVeuCBB+TxeLRkyRItW7ZMt99+uyRp+fLlSkpK0rp16zRq1KiAdWltD2hOCrRMdOrNesvmqRaOXbtbeTYA/OXoJP3vy/aav0Ym7tHba560Fds1vk6njtj77+bXB4bbbkDLyTQAWqq1TuTyJ5Y/yzqOtqj0mDJlilasWKG1a9cqOjra6q/hdDqtI2f/+c9/6pNPPtGhQ4ckSZWVlZIkt9stt9utffv2KT8/X3feeafi4uK0a9cuzZw5UwMGDNCwYcMkSX379tXo0aOVk5OjRYsWSbpYDDF27Fi/cgIt6unxxS6t+/fvV1VVlTIyMqyYiIgI3XLLLdq0aZMeeOABlZWVqb6+3ismMTFRKSkp2rRpk0aNGtWsLq21tbWqra21vv7iUTttheakQMv48x/s3//4J604EwCtzeEw2vNy44ZlTbnp/z2gnf/T01ZsdOI/9OeHztiKHfrgIa1f89+2Ym/77jV8qAA6CH8SGf4cF/7UU0/Z/qzgTyzHkHccxjhkGr7cpMdzzz0nSUpPT/d6fOnSpZo0aZIkqbCwUD/4wQ+sexMmTJD0r9NgwsPD9eabb+rXv/61Tp06paSkJI0ZM0Zz5syxdn9IF093mTZtmpU/yMzM1IIFC/x6b81OejTVpfVShueL+2vi4+P18ccfWzHh4eHq3r17o5hLz29Ol9a8vDw9/vjjzX07AAAAcjik8v+xd+Tet8bSrwStz58P2xXvfCjPEd9/vXfGn7cV52/s7d/tHbIfntet2avNq5y2Yu988JQGhv/OVmzGg2c1JOx5W7G3TT+rm8MW2YodOf208md7bMVuq/+hrbjWtGrVqpD9vROKjDE+YyZNmmQlQJqSlJSkkpISn+PExsZq+fLl/kyvkWYnPa7UpfWLnVTtdFf9Yoy/XVpnz57tlVGtqalpdMYwgNDWbXCq3rW7FWbHnlaeDYBQV1G2VxtenWcrtnv8BZ3w40PmiSOdfQdK6hZ/XtU2x71uYCRl9O3ED+6Zp6ts/i08NuG8Xv2NvURc5oPG1gfzOx/8VKWrutka844Hj9n+sO9M2KU31tj7mejrx+/H1vo99p/3zFNnm+vQI+FCwF8f/2I3sYfG2rKRabBoVtLjcl1aL/3BVVVVZTUfkaSjR49a1R9ut1t1dXWqrq72qvY4evSo1YykOV1aIyIifJ4hHCj06QDaJ3/+QvS76Y+14kwAdAQOh/T3VfaO9ct88J/aZDN2zIPH9faqaFux/8+D1frb6q/Yio1NPKHfPGLvL7Xjp53Us4/YCtWEqSf12pqf24rtEd+gT492shUb52qd2J6uBh0/Yi+2R3yDPrUZGxdvf1xXUoMK5nezFfu9aSdsxbUHDods/97tnlht+/fjvBfsn9Jw3z2/UOerfP8rtHRxHf78m262Yu968ITtOQBfJmMuXoEYJ1T5lfTw1aU1OTlZbrdbxcXFGjBggCSprq5OJSUleuKJJyRJN910k8LCwlRcXKzx48dLurjvbceOHXryyYvNywLVpbW10KcDCH5xw29Q5WCbVSHbP2jl2QBA8HI4jP66OtJW7L9PO6W/rLb3j1T/MfVMq8ROmnpGb6zuait24rSTtt9b9rRTtsf992mnbMXhovKyD/SX1/6vrVh3ktHy+VG2Yu+bdrol0wIQJPxKevjq0upwODR9+nTNmzdPvXv3Vu/evTVv3jx17dpVWVlZVuz999+vmTNnqkePHoqNjdWsWbPUv39/6zSXQHVpBYDL8acqZMHf6RcEAEBbcTikP//JXvX0D3NrfQeh3cnKyrI+L/pC/w9vDcahhgBsTQnEGO2VX0kPO11aH3roIZ09e1Y/+tGPVF1drcGDB+uNN95QdPS/St2effZZXXXVVRo/frzOnj2rkSNH6oUXXgh4l1Z/sGUFAAAAANo3+n94o6eHb35vb/HF4XBo7ty5mjt37mVjunTpovnz52v+/PmXjQlEl1Z/sGUFwOW40/vpH8Ns/gf2PbbCAAAAAO1Fs09vAYCOwp8SytVhq/XpDTZ7hby3t7lTAgAA6JD82QrTIQSo0kNUegSv3//+9+ra1XdTKbasAAgEfxMkJ20kSBwVJ1syJQAAAIQotrf4FvJJj7vvvlsxMfaOiAOAL5PdBMnqsNWqvdHm9ppt1S2YEQAAABBaQj7pAQDBzt/qkfoBdhMkx5o5IwAAALQHVHr4RtIDAEJIayVIvlL1FXV5OtLewOWh+x9NAACA9sQ0OGQcAUh6NITu399IegBAB9VaZ9yvDlut+lR7yZQj5a0yBQAAAEASSQ8AQID5XW1iM0FSXdbcGQEAAIQmtrf4RtIDANBm/E6Q3GQvQVL5bnNnBAAAEDxIevhG0gMAEBT8SZDMeeXpVpwJAAAAggVJDwBAyOl/19dU/x17VSF72kFVSIw7Ut9c0WArtqoqyq/YvjZjd7eD7wMAAPAPlR6+kfQAAIQcv7fNDLSXIGmtxEBiYqLuvffe1hncptVhq1W/wt73YRcJEgAA2oUGIzUEIGHRYAIwmXaKpAcAoEPzO0FiMzHgT5VFWFiY7Tm0Fn++Dw+98lQrzgQAACBwSHoAAGBTax3zCwAA0Bxsb/GNpAcAAPDLzXddbbtnyg62wgAA0GpIevhG0gMAAPjF3y1BKTZ7prz/buj+hQsAALQNkh4AAKDV+JMgCQtbrf62EyTNnREAtB893F314B+jbcVuf/dIK88GwcgYydhrIeZznFBF0gMAALQLrZUgqar6iv7rj11txW4nmQKgCXHuKD3yYndbsVVVtZr5otNWbFhYnO0/+8LCVut623/undGPbc4hK8tWGNoptrf4RtIDAAAEndZqKuvPh4qKsqpWmQPQXHY/mFdV1erhF7vZGrOq6pztD/sVZZ/aigtG7eFo8db7cy9M9fV2kylVcrvdAY/NIvOCVkTSAwAA4DP+VpvceJPdDwr1+smLsTZj6/T/vRhnK7airNpWHNqXnu4o/eyFnrZiq6ou6Kcv9rAVGxYW1qanTPnzM7GtHfze7emO0twX7a1DezhavLW0h5PJSHo0X4NxqCEAVRqBGKO9IukBAADQDO3hg4J/iZcLmvdCvM1YoydesPcvtNvKTtqKay9c7q/oly8k2IrdVnaqVcZt6+REa/E3aTjA5u/d8jJPc6d0Re2hegNoKba3+OZ30uOtt97SL3/5S5WVlenw4cNas2aNxo0bZ913OJr+Zj355JP68Y9/LElKT09XSUmJ1/177rlHK1eutL6urq7WtGnTVFhYKEnKzMzU/Pnz1a1bN3+nDAAAEJLawwdnfz68VlVV6VdL7ZfGt0asPwkHf95bqCYyWou/CZJUP36PPW0zYRfK1RsA/sXvpMfp06d1ww036Ac/+IG+973vNbp/+PBhr6//8pe/6P77728Um5OTo5/97GfW15GRkV73s7KydPDgQRUVFUmSJk+erOzsbL3yyiv+ThkAAACtJJQ/6IfyewsmrEPoW7Vqle2+ImyF8Ualh29+Jz3uuOMO3XHHHZe9/8VmNWvXrtWtt96qr3/9616Pd+3a9bKNbXbv3q2ioiKVlpZq8ODBkqTFixcrLS1NlZWV6tOnT6Pn1NbWqra21vq6pqbG9nsCAAAAALQNfxJbJD28kfTwrVNrDn7kyBG99tpruv/++xvdy8/PV1xcnPr166dZs2bp5Ml/7QfdvHmznE6nlfCQpCFDhsjpdGrTpk1NvlZeXp6cTqd1JSUlBf4NAQAAAACAoNGqjUxffPFFRUdH66677vJ6fOLEiUpOTpbb7daOHTs0e/ZsvffeeyouLpZ0cS+ey+VqNJ7L5VJVVdPHw82ePVszZsywvq6pqSHxAQAAAAAhxO5WmDNnzuj//J//8yXMqG2ZAJ3eEsqVHq2a9PjDH/6giRMnqkuXLl6P5+TkWL9OSUlR7969NXDgQJWXlys1NVVS0w1RjTGXbZQaERGhiIiIAM4eAAAAANCe2N0KU1NT00GSHhevQIwTqlot6fH222+rsrJSL7/8ss/Y1NRUhYWFae/evUpNTZXb7daRI0caxR07dkzx8faOWjOfrRq9PQAAAACgY7n0OdCE8qd52NJqSY8lS5bopptu0g033OAzdufOnaqvr1dCwsWzzdPS0uTxeLR161bdfPPNkqQtW7bI4/Fo6NChtl7/Uo8QtrgAAAAAQMd08uRJOZ3Otp5GqzENDhkFYHtLA9tbLKdOndKHH35ofb1//35VVFQoNjZWX/3qVyVdzKqtWrVKTz/9dKPn79u3T/n5+brzzjsVFxenXbt2aebMmRowYICGDRsmSerbt69Gjx6tnJwcLVq0SNLFI2vHjh3b5MktTUlMTNSBAwcUHR192S0xaJlLfVMOHDigmJiYtp4OWgnr3DGwzh0D69wxsM4dA+vcMbDOzWeM0cmTJ5WYmNjWU2lVnN7im99Jj3fffVe33nqr9fWl5qH/8R//oRdeeEGStHLlShljdO+99zZ6fnh4uN588039+te/1qlTp5SUlKQxY8Zozpw56ty5sxWXn5+vadOmKSMjQ5KUmZmpBQsW2J5np06d1KtXL3/fHpohJiaGP4Q7ANa5Y2CdOwbWuWNgnTsG1rljYJ2bJ5QrPGCf30mP9PR0n/uiJk+erMmTJzd5LykpSSUlJT5fJzY2VsuXL/d3egAAAAAAdAgNATq9JRBjtFetenoLAAAAAABoHZze4luntp4AgldERITmzJnDUcEhjnXuGFjnjoF17hhY546Bde4YWGeg5RyGM3wAAAAAAAgaNTU1cjqdmt/zt4rsFNni8c42nNXUY1Pk8Xh89o/Jy8tTQUGB9uzZo8jISA0dOlRPPPGE16EjBQUFWrRokcrKynT8+HFt27ZNN954o9c4tbW1mjVrll566SWdPXtWI0eO1MKFC716c1ZXV2vatGkqLCyUdLHX5/z589WtWzfb741KDwAAAAAAgtClnh6BuOwqKSnRlClTVFpaquLiYp0/f14ZGRk6ffq0FXP69GkNGzZM//3f/33ZcaZPn641a9Zo5cqV2rhxo06dOqWxY8fqwoULVkxWVpYqKipUVFSkoqIiVVRUKDs726/vEZUeAAAAAAAEkUuVHr+OWxiwSo8HP/2RrUqPLzp27JhcLpdKSko0YsQIr3sfffSRkpOTG1V6eDwe9ezZU8uWLdM999wjSTp06JCSkpL0+uuva9SoUdq9e7euu+46lZaWavDgwZKk0tJSpaWlac+ePV6VJVdCpQcAAAAAAEHoUiPTQFzSxWTK56/a2lqfc/B4PJIunsBqV1lZmerr65WRkWE9lpiYqJSUFG3atEmStHnzZjmdTivhIUlDhgyR0+m0Yuwg6QEAAAAAQBAyxhGwS5KSkpLkdDqtKy8vz8frG82YMUPDhw9XSkqK7XlXVVUpPDxc3bt393o8Pj5eVVVVVozL5Wr0XJfLZcXYwZG1AAAAAABABw4c8Nre4uvkoNzcXG3fvl0bN24MyOsbY+Rw/Ku/yOd/fbkYX6j0CGF5eXkaNGiQoqOj5XK5NG7cOFVWVnrFFBQUaNSoUYqLi5PD4VBFRUWjcdLT0+VwOLyuCRMmeMVUV1crOzvbyghmZ2frxIkTXjGffPKJvvOd7ygqKkpxcXGaNm2a6urqvGLef/993XLLLYqMjNS//du/6Wc/+5loO3NlgVpn6WIJ2W233aaoqCh169ZN6enpOnv2rHWfdW47gVjnjz76qNHP8qVr1apVVhzr3HYC9fNcVVWl7Oxsud1uRUVFKTU1VatXr/aKYZ3bRqDWeN++ffrud7+rnj17KiYmRuPHj9eRI0e8YljjtuNrnevr6/Xwww+rf//+ioqKUmJiou677z4dOnTIa5za2lpNnTpVcXFxioqKUmZmpg4ePOgVwzq3nUCt8/PPP6/09HTFxMTI4XA0Wj+JdcblBbqRaUxMjNd1paTH1KlTVVhYqA0bNniduGKH2+1WXV2dqqurvR4/evSo4uPjrZgv/rdNuthD5FKMHSQ9QliguupKUk5Ojg4fPmxdixYt8rrvq6vuhQsXNGbMGJ0+fVobN27UypUr9ac//UkzZ860YmpqavTtb39biYmJeueddzR//nw99dRTeuaZZwL0HQlNgVrnzZs3a/To0crIyNDWrVv1zjvvKDc3V506/euPCda57QRinZOSkrx+jg8fPqzHH39cUVFRuuOOO6w41rntBOrnOTs7W5WVlSosLNT777+vu+66S/fcc4+2bdtmxbDObSMQa3z69GllZGTI4XBo/fr1+vvf/666ujp95zvfUUNDgxXHGrcdX+t85swZlZeX67HHHlN5ebkKCgr0wQcfKDMz02ucQJxswDq3nkCt85kzZzR69Gj95Cc/uexrsc64HGMk0xCAy4/clzFGubm5Kigo0Pr165WcnOz3vG+66SaFhYWpuLjYeuzw4cPasWOHhg4dKklKS0uTx+PR1q1brZgtW7bI4/FYMXYnjA7i6NGjRpIpKSlpdG///v1Gktm2bVuje7fccot58MEHLzvurl27jCRTWlpqPbZ582YjyezZs8cYY8zrr79uOnXqZP7xj39YMS+99JKJiIgwHo/HGGPMwoULjdPpNOfOnbNi8vLyTGJiomloaPD37XZYzV3nwYMHm5/+9KeXHZd1bl+au85fdOONN5r//M//tL5mnduX5q5zVFSU+eMf/+j1WGxsrPn9739vjGGd25PmrPFf//pX06lTJ2sdjDHmn//8p5FkiouLjTGscXtzpXW+ZOvWrUaS+fjjj40xxpw4ccKEhYWZlStXWjH/+Mc/TKdOnUxRUZExhnVub5qzzp+3YcMGI8lUV1d7Pc46oykej8dIMk91+535bfcXW3w91e13RpLXf1su54c//KFxOp3mb3/7mzl8+LB1nTlzxoo5fvy42bZtm3nttdeMJLNy5Uqzbds2c/jwYSvmv/7rv0yvXr3MunXrTHl5ubntttvMDTfcYM6fP2/FjB492lx//fVm8+bNZvPmzaZ///5m7Nixfn2vqPToQJrTVfeS/Px8xcXFqV+/fpo1a5ZOnjxp3bPTVXfz5s1KSUlRYmKiFTNq1CjV1taqrKzMirnlllu8SqhGjRqlQ4cO6aOPPvJ7zh1Vc9b56NGj2rJli1wul4YOHar4+HjdcsstXnvzWOf2pSU/z5eUlZWpoqJC999/v/UY69y+NHedhw8frpdffln//Oc/1dDQoJUrV6q2tlbp6emSWOf2pDlrXFtbK4fD4fV979Klizp16mT9uc0aty921tnj8cjhcKhbt26SAneyAev85WnOOtvBOuNKAt3I1I7nnntOHo9H6enpSkhIsK6XX37ZiiksLNSAAQM0ZswYSdKECRM0YMAA/e53v7Ninn32WY0bN07jx4/XsGHD1LVrV73yyivq3LmzFZOfn6/+/fsrIyNDGRkZuv7667Vs2TK/vkckPToI08yuupI0ceJEvfTSS/rb3/6mxx57TH/605901113WfftdNWtqqpqtO+qe/fuCg8Pv2LMpa/96c7bkTV3nf/3f/9XkjR37lzl5OSoqKhIqampGjlypPbu3SuJdW5PWvLz/HlLlixR3759vcoDWef2oyXr/PLLL+v8+fPq0aOHIiIi9MADD2jNmjX6xje+IYl1bi+au8ZDhgxRVFSUHn74YZ05c0anT5/Wj3/8YzU0NOjw4cOSWOP2xM46nzt3To888oiysrKsBoKBOtmAdf5yNHed7WCdcSWB7ulhhzGmyWvSpElWzKRJk5qMmTt3rhXTpUsXzZ8/X8ePH9eZM2f0yiuvKCkpyeu1YmNjtXz5cusI3eXLl/uVNJQ4vaXDaElX3ZycHOvXKSkp6t27twYOHKjy8nKlpqZKstdVtzkx5rPNZf505+3ImrvOl/aAP/DAA/rBD34gSRowYIDefPNN/eEPf7COqmKd24dAdMk+e/asVqxYoccee6zRPda5fWjJOv/0pz9VdXW11q1bp7i4OP35z3/W3Xffrbffflv9+/eXxDq3B81d4549e2rVqlX64Q9/qN/85jfq1KmT7r33XqWmpnr96xhr3D74Wuf6+npNmDBBDQ0NWrhwoc/xArGGdmJYZ/8Eep2/iHUGmo9Kjw6gJV11m5KamqqwsDCrAsBOV123290og1xdXa36+vorxhw9elSS/OrO21G1ZJ0TEhIkSdddd53X43379tUnn3wiiXVuLwL187x69WqdOXNG9913n9fjrHP70JJ13rdvnxYsWKA//OEPGjlypG644QbNmTNHAwcO1G9/+1tJrHN70NKf5YyMDO3bt09Hjx7Vp59+qmXLlukf//iH1UyONW4ffK1zfX29xo8fr/3796u4uNjrX/8DdbIB69z6WrLOdrDOuCLzWTPTFl4K4UN8SHqEMBOArrpN2blzp+rr660Pyna66qalpWnHjh1W2a0kvfHGG4qIiNBNN91kxbz11lteR2u98cYbSkxM1NVXXx2QuYeiQKzz1VdfrcTExEbHJn7wwQf62te+Jol1bmuB/nlesmSJMjMz1bNnT6/HWee2FYh1PnPmjCR5nbwkSZ07d7aquljnthPon+W4uDh169ZN69ev19GjR61TIVjjtmVnnS99EN67d6/WrVunHj16eN0P1MkGrHPrCcQ628E640oaTKC2uLT1O2lFfrU9RVAJRFfdDz/80Dz++OPmnXfeMfv37zevvfaa+eY3v2kGDBjgV1fd8+fPm5SUFDNy5EhTXl5u1q1bZ3r16mVyc3OtmBMnTpj4+Hhz7733mvfff98UFBSYmJgY89RTT30J363gFajuyc8++6yJiYkxq1atMnv37jU//elPTZcuXcyHH35oxbDObSdQ62yMMXv37jUOh8P85S9/afK1WOe2E4h1rqurM9dcc4351re+ZbZs2WI+/PBD89RTTxmHw2Fee+01axzWuW0E6mf5D3/4g9m8ebP58MMPzbJly0xsbKyZMWOG12uxxm3H1zrX19ebzMxM06tXL1NRUeEVU1tba40TiJMNWOfWE6h1Pnz4sNm2bZtZvHixkWTeeusts23bNnP8+HErhnXGF106vSXvK8+bZ6OXt/jK+8rztk9vCTYkPUKYLhYpNbqWLl1qxSxdurTJmDlz5hhjjPnkk0/MiBEjTGxsrAkPDzff+MY3zLRp07z+EDbm4l/QJk6caKKjo010dLSZOHFio+O2Pv74YzNmzBgTGRlpYmNjTW5urteRWcYYs337dvOtb33LREREGLfbbebOncsRWj4EYp0vycvLM7169TJdu3Y1aWlp5u233/a6zzq3nUCu8+zZs02vXr3MhQsXmnwt1rntBGqdP/jgA3PXXXcZl8tlunbtaq6//vpGR9iyzm0jUGv88MMPm/j4eBMWFmZ69+5tnn766Ubfd9a47fha50vHETd1bdiwwRrn7NmzJjc318TGxprIyEgzduxY88knn3i9FuvcdgK1znPmzPH55wLrjC+6lPSYF/W8eeYry1t8zYsK3aSHwxgTyoUsAAAAAACElJqaGjmdTv2i62J1cXRt8XjnzBk9eiZHHo/H774z7R09PQAAAAAAQEjiyFoAAAAAAIJQg5EaAjROqCLpAQAAAABAEDImMKfNhnLTC7a3AAAAAACAkESlBwAAAAAAQajBONQgR0DGCVUkPQAAAAAACEJsb/GN7S0AAAAAACAkUekBAAAAAEAQotLDN5IeAAAAAAAEIXp6+Mb2FgAAAAAAEJKo9AAAAAAAIAgZBWh7SwDGaK9IegAAAAAAEIQajNQQoHFCFdtbAAAAAABASKLSAwAAAACAIGTkkAlAI9NAjNFekfQAAAAAACAImQBtbwnlI2vZ3gIAAAAAAEISlR4AAAAAAAQhTm/xjaQHAAAAAABBiNNbfGN7CwAAAAAACElUegAAAAAAEITY3uIbSQ8AAAAAAIIQ21t8Y3sLAAAAAAAISVR6AAAAAAAQhNje4htJDwAAAAAAglCDArS9JQBjtFdsbwEAAAAAACGJSg8AAAAAAIIQ21t8I+kBAAAAAEAQYnuLb2xvAQAAAAAAIYlKDwAAAAAAgpCRZAKwN4XtLQAAAAAAoF1he4tvbG8BAAAAAAAhiUoPAAAAAACCEKe3+EbSAwAAAACAIGQUmK0poZz0YHsLAAAAAACwJS8vT4MGDVJ0dLRcLpfGjRunyspKrxhjjObOnavExERFRkYqPT1dO3fu9IpJT0+Xw+HwuiZMmOAVU11drezsbDmdTjmdTmVnZ+vEiRN+zZekBwAAAAAAQaghgJddJSUlmjJlikpLS1VcXKzz588rIyNDp0+ftmKefPJJPfPMM1qwYIHeeecdud1uffvb39bJkye9xsrJydHhw4eta9GiRV73s7KyVFFRoaKiIhUVFamiokLZ2dl+zJbtLQAAAAAABKW26OlRVFTk9fXSpUvlcrlUVlamESNGyBijX/3qV3r00Ud11113SZJefPFFxcfHa8WKFXrggQes53bt2lVut7vJ19m9e7eKiopUWlqqwYMHS5IWL16stLQ0VVZWqk+fPrbmS6UHAAAAAABQTU2N11VbW+vzOR6PR5IUGxsrSdq/f7+qqqqUkZFhxUREROiWW27Rpk2bvJ6bn5+vuLg49evXT7NmzfKqBNm8ebOcTqeV8JCkIUOGyOl0NhrnSqj0AAAAAAAgCPm7NeVK40hSUlKS1+Nz5szR3LlzL/s8Y4xmzJih4cOHKyUlRZJUVVUlSYqPj/eKjY+P18cff2x9PXHiRCUnJ8vtdmvHjh2aPXu23nvvPRUXF1vjuFyuRq/pcrms17CDpAcAAAAAAEHIfPa/QIwjSQcOHFBMTIz1eERExBWfl5ubq+3bt2vjxo2N7jkcDu/XMMbrsZycHOvXKSkp6t27twYOHKjy8nKlpqY2OUZT4/jC9hYAAAAAAKCYmBiv60pJj6lTp6qwsFAbNmxQr169rMcv9ej4YjXG0aNHG1V/fF5qaqrCwsK0d+9ea5wjR440ijt27NgVx/kikh4AAAAAAAShtji9xRij3NxcFRQUaP369UpOTva6f2nLyqVtKpJUV1enkpISDR069LLj7ty5U/X19UpISJAkpaWlyePxaOvWrVbMli1b5PF4rjjOF7G9BQAAAACAINQWp7dMmTJFK1as0Nq1axUdHW1VdDidTkVGRsrhcGj69OmaN2+eevfurd69e2vevHnq2rWrsrKyJEn79u1Tfn6+7rzzTsXFxWnXrl2aOXOmBgwYoGHDhkmS+vbtq9GjRysnJ8c6ynby5MkaO3as7ZNbJJIeAAAAAADApueee06SlJ6e7vX40qVLNWnSJEnSQw89pLNnz+pHP/qRqqurNXjwYL3xxhuKjo6WJIWHh+vNN9/Ur3/9a506dUpJSUkaM2aM5syZo86dO1tj5ufna9q0adZJMJmZmVqwYIFf83UYYwKRGAIAAAAAAF+CmpoaOZ1OTdQShatri8er0xnl6355PB6vRqahgEoPAAAAAACCkJGRcQTg9JYQroWgkSkAAAAAAAhJVHoAAAAAABCE/D155UrjhCqSHgAAAAAABCGSHr6xvQUAAAAAAIQkKj0AAAAAAAhKRkaBaEIauo1MSXoAAAAAABCE2N7iG9tbAAAAAABASKLSAwAAAACAIGQCtL0lMFtk2ieSHgAAAAAABCG2t/jG9hYAAAAAABCSqPQAAAAAACAIGcfFq8XjWP8Xekh6AAAAAAAQhC5ub2l5toLtLQAAAAAAAEGGSg8AAAAAAIIQjUx9I+kBAAAAAEAQ4sha39jeAgAAAAAAQhKVHgAAAAAABCG2t/hG0gMAAAAAgCDUIBOg01vY3gIAAAAAABBUqPQAAAAAACAIGcfFq8XjWP8Xekh6AAAAAAAQhNje4hvbWwAAAAAAQEii0gMAAAAAgKBkZAJSpRG6lR4kPQAAAAAACEIcWesb21sAAAAAAEBIotIDAAAAAIAgRCNT30h6AAAAAAAQhIwC040jdFMebG8BAAAAAAAhikoPAAAAAACCUIPDqMHB9pYrIekBAAAAAEAQoqeHb2xvAQAAAAAAIYlKDwAAAAAAghCNTH0j6QEAAAAAQBBie4tvbG8BAAAAAAAhiUoPAAAAAACCEJUevpH0AAAAAAAgCDV8dgVinFDF9hYAAAAAABCSqPQAAAAAACAImc/+F4hxQhWVHgAAAAAABCHzWU+Pll7+JD3y8vI0aNAgRUdHy+Vyady4caqsrPSelzGaO3euEhMTFRkZqfT0dO3cudMrpra2VlOnTlVcXJyioqKUmZmpgwcPesVUV1crOztbTqdTTqdT2dnZOnHihF/fI5IeAAAAAADAlpKSEk2ZMkWlpaUqLi7W+fPnlZGRodOnT1sxTz75pJ555hktWLBA77zzjtxut7797W/r5MmTVsz06dO1Zs0arVy5Uhs3btSpU6c0duxYXbhwwYrJyspSRUWFioqKVFRUpIqKCmVnZ/s1X4cxJnTrWAAAAAAACDE1NTVyOp268apn1NkR2eLxLpizqjg/Qx6PRzExMX4999ixY3K5XCopKdGIESNkjFFiYqKmT5+uhx9+WNLFqo74+Hg98cQTeuCBB+TxeNSzZ08tW7ZM99xzjyTp0KFDSkpK0uuvv65Ro0Zp9+7duu6661RaWqrBgwdLkkpLS5WWlqY9e/aoT58+tuZHpQcAAAAAAEGoIYCXdDGZ8vmrtrbW5xw8Ho8kKTY2VpK0f/9+VVVVKSMjw4qJiIjQLbfcok2bNkmSysrKVF9f7xWTmJiolJQUK2bz5s1yOp1WwkOShgwZIqfTacXYQdIDAAAAAAAoKSnJ6p/hdDqVl5d3xXhjjGbMmKHhw4crJSVFklRVVSVJio+P94qNj4+37lVVVSk8PFzdu3e/YozL5Wr0mi6Xy4qxg9NbAAAAAAAIQg0ycgTg5JWGz8Y4cOCA1/aWiIiIKz4vNzdX27dv18aNGxvdczgcXl8bYxo99kVfjGkq3s44n0elBwAAAAAAQcgE8H+SFBMT43VdKekxdepUFRYWasOGDerVq5f1uNvtlqRG1RhHjx61qj/cbrfq6upUXV19xZgjR440et1jx441qiK5EpIeAAAAAADAFmOMcnNzVVBQoPXr1ys5OdnrfnJystxut4qLi63H6urqVFJSoqFDh0qSbrrpJoWFhXnFHD58WDt27LBi0tLS5PF4tHXrVitmy5Yt8ng8VowdbG8BAAAAACAIBXp7ix1TpkzRihUrtHbtWkVHR1sVHU6nU5GRkXI4HJo+fbrmzZun3r17q3fv3po3b566du2qrKwsK/b+++/XzJkz1aNHD8XGxmrWrFnq37+/br/9dklS3759NXr0aOXk5GjRokWSpMmTJ2vs2LG2T26RSHoAAAAAABCU2iLp8dxzz0mS0tPTvR5funSpJk2aJEl66KGHdPbsWf3oRz9SdXW1Bg8erDfeeEPR0dFW/LPPPqurrrpK48eP19mzZzVy5Ei98MIL6ty5sxWTn5+vadOmWae8ZGZmasGCBX69N4cxpuXfIQAAAAAA8KWoqamR0+lUn6ueVGdHZIvHu2DOqvL8Q/J4PF6NTEMBlR4AAAAAAAShtqj0CDYkPQAAAAAACEINUoCSHqGL01sAAAAAAEBIotIDAAAAAIAgZBxSgyMA47R8iHaLpAcAAAAAAEHoYi8OenpcCdtbAAAAAABASKLSAwAAAACAIESlh28kPQAAAAAACEIXZGRIelwR21sAAAAAAEBIotIDAAAAAIAgxPYW30h6AAAAAAAQhEh6+Mb2FgAAAAAAEJKo9AAAAAAAIAhdcDTIOBpaPE6DWj5Ge0XSAwAAAACAIMTpLb6xvQUAAAAAAIQkKj0AAAAAAAhCDQGq9AjEGO0VSQ8AAAAAAILQBYeRw0HS40pIegAAAAAAEISMagNxYu3FcUIUSQ8AAAAAAIJIeHi43G63qqr+O2Bjut1uhYeHB2y89sJhjAndOhYAAAAAAELQuXPnVFdXF7DxwsPD1aVLl4CN116Q9AAAAAAAACGJI2sBAAAAAEBIIukBAAAAAABCEkkPAAAAAAAQkkh6AAAAAACAkETSAwAAAAAAhCSSHgAAAAAAICSR9AAAAAAAACHp/wfRmSydrsrjxQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "ax.set_aspect(\"equal\")\n",
    "xc = flopy.plot.PlotCrossSection(modelgrid=modelgrid, ax=ax, line={\"row\": 36}, geographic_coords=True)\n",
    "pc = xc.plot_array(heads, cmap='plasma', head=heads, masked_values=[1e+30])\n",
    "xc.plot_grid(lw=0.5)\n",
    "xc.plot_inactive()\n",
    "plt.colorbar(pc, shrink=0.50)\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2b7cc47",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pyclass",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}