Notebook_2_Basic_Time_Domain.ipynb

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  {
   "cell_type": "markdown",
   "id": "28e91015",
   "metadata": {},
   "source": [
    "**Author:** Andy Tzanidakis, Neven Caplar and the LINCC Frameworks team \\\n",
    "**Last updated**: November 07, 2024"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8e3bcea",
   "metadata": {},
   "source": [
    "## Overview\n",
    "\n",
    "In this notebook we will learn how to:\n",
    "\n",
    "- Query and filter catalog data\n",
    "- Compute time-series features for LSDB catalogs using `nested-dask`\n",
    "- Plot light curves and periodograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "06a43853-ff91-445a-8120-71ea95abf22f",
   "metadata": {
    "execution": {
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    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install -q -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "632195c4",
   "metadata": {
    "execution": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Version of lsdb is 0.4.2\n"
     ]
    }
   ],
   "source": [
    "# Standard library imports\n",
    "import os\n",
    "\n",
    "# Third-party imports\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches\n",
    "from matplotlib import rcParams\n",
    "from matplotlib.colors import LogNorm\n",
    "import astropy.units as u\n",
    "from astropy.coordinates import SkyCoord, Angle\n",
    "import dask\n",
    "from dask.distributed import Client\n",
    "\n",
    "# Local library-specific imports\n",
    "import lsdb\n",
    "from lsdb.core.search import BoxSearch, ConeSearch, PolygonSearch\n",
    "from hats.inspection import plot_pixels\n",
    "from hats.io.file_io import read_parquet_metadata\n",
    "\n",
    "# Astropy\n",
    "from astropy.timeseries import LombScargle\n",
    "\n",
    "# light-curve package for feature extraction\n",
    "import light_curve as licu\n",
    "\n",
    "# Jupyter-specific settings and magic commands\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = \"retina\"\n",
    "\n",
    "# Configuration settings\n",
    "rcParams['savefig.dpi'] = 550\n",
    "rcParams['font.size'] = 20\n",
    "plt.rc('font', family='serif')\n",
    "mpl.rcParams['axes.linewidth'] = 2\n",
    "\n",
    "print(f'Version of lsdb is {lsdb.__version__}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9f1bf85e",
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "catalogs_dir = \"https://data.lsdb.io/hats\"\n",
    "\n",
    "# Gaia\n",
    "gaia_path = f\"{catalogs_dir}/gaia_dr3/gaia\"\n",
    "gaia_margin_path = f\"{catalogs_dir}/gaia_dr3/gaia_10arcs\"\n",
    "\n",
    "# ZTF\n",
    "ztf_object_path = f\"{catalogs_dir}/ztf_dr14/ztf_object\"\n",
    "ztf_source_path = f\"{catalogs_dir}/ztf_dr14/ztf_source\"\n",
    "ztf_object_margin_path = f\"{catalogs_dir}/ztf_dr14/ztf_object_10arcs\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "956fb1c3",
   "metadata": {},
   "source": [
    "## Initialize Dask Client"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85c99018",
   "metadata": {},
   "source": [
    "Before we start building our workflow, let's initialize our Dask Client. The machine we're using has 16 cores and 64GiB of RAM so we'll decide to make good use of resources and go with 10 workers, each with 6 GiB of memory and 1 thread."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5fad7939",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:29:23.714311Z",
     "iopub.status.busy": "2024-11-11T07:29:23.714180Z",
     "iopub.status.idle": "2024-11-11T07:29:25.096628Z",
     "shell.execute_reply": "2024-11-11T07:29:25.096127Z",
     "shell.execute_reply.started": "2024-11-11T07:29:23.714299Z"
    }
   },
   "outputs": [],
   "source": [
    "from dask.distributed import Client\n",
    "client = Client(n_workers=10, memory_limit=\"6GiB\", threads_per_worker=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29dbb87d",
   "metadata": {},
   "source": [
    "## Get Gaia and ZTF\n",
    "\n",
    "Let's read Gaia and ZTF (both lazily) as demonstrated in the first notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ec7e3d4e",
   "metadata": {
    "execution": {
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     "shell.execute_reply.started": "2024-11-11T07:29:25.097477Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.75 s, sys: 171 ms, total: 1.92 s\n",
      "Wall time: 11.5 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# Load Gaia object table (with margins!)\n",
    "gaia = lsdb.read_hats(gaia_path, columns=['ra', 'dec', 'parallax'], margin_cache=gaia_margin_path)\n",
    "\n",
    "# Define a cone region of interest for ZTF\n",
    "cone_search = ConeSearch(ra=132.8460000, dec=+11.8140000, radius_arcsec=5_000)\n",
    "\n",
    "# Load ZTF object table\n",
    "ztf = lsdb.read_hats(ztf_object_path, columns=['ra', 'dec', 'ps1_objid'], search_filter=cone_search)\n",
    "\n",
    "# Load ZTF DR14 sources\n",
    "ztf_sources = lsdb.read_hats(ztf_source_path, columns=['ra', 'dec', 'mjd', 'mag', 'magerr', 'band', 'ps1_objid', 'catflags'], search_filter=cone_search)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45155c55",
   "metadata": {},
   "source": [
    "## Create a sample object catalog\n",
    "\n",
    "To create our sample let's crossmatch our ZTF region with Gaia with a 3-arcsecond radius."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "56f18981",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:29:36.607833Z",
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     "iopub.status.idle": "2024-11-11T07:29:41.336433Z",
     "shell.execute_reply": "2024-11-11T07:29:41.335797Z",
     "shell.execute_reply.started": "2024-11-11T07:29:36.607820Z"
    }
   },
   "outputs": [],
   "source": [
    "_sample = ztf.crossmatch(gaia, radius_arcsec=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4595efce",
   "metadata": {},
   "source": [
    "We can have a look at the object matches because this sample is relatively small and it fits in memory! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "26954a6a",
   "metadata": {
    "execution": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 278 ms, sys: 59 ms, total: 337 ms\n",
      "Wall time: 3.39 s\n"
     ]
    },
    {
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      "text/plain": [
       "                    ra_ztf_dr14  dec_ztf_dr14  ps1_objid_ztf_dr14     ra_gaia  \\\n",
       "_healpix_29                                                                     \n",
       "298908806134124139     133.2337     10.485653  120581332336983267  133.233718   \n",
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       "...                         ...           ...                 ...         ...   \n",
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       "\n",
       "                     dec_gaia  parallax_gaia  _dist_arcsec  \n",
       "_healpix_29                                                 \n",
       "298908806134124139  10.485637       0.445226      0.085933  \n",
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       "298920356055544103  10.524717       0.959385      0.065692  \n",
       "298920365329078665  10.529019           <NA>      0.067189  \n",
       "...                       ...            ...           ...  \n",
       "304104164045541160  13.193228           <NA>      0.044713  \n",
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       "304105132512712531  13.182812       0.450537      0.110055  \n",
       "304107394409430043  13.118103        0.35011      0.163959  \n",
       "304107395333625368  13.118364           <NA>      0.280403  \n",
       "\n",
       "[36717 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "_sample_computed = _sample.compute()\n",
    "_sample_computed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a1c3a2b8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:29:44.738746Z",
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    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of objects in crossmatch: 36717\n"
     ]
    }
   ],
   "source": [
    "print (f\"Number of objects in crossmatch: {len(_sample_computed)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bc9c869",
   "metadata": {},
   "source": [
    "We selected a very small region of the sky - 5000 arcsec - and, as a result, our objects are contained in just a handful of pixels. In the following mollview of the pixel map, the gray color means that our sample catalog does not have coverage for that region in space."
   ]
  },
  {
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   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 517,
       "width": 817
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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b2xuVKlVC48aN0blzZwwdOhQNGza0Sozx8fEIDg7G9evXERYWhnv37iE1NRWpqakQBAEVKlSAr68vqlativbt26Nz587o0qWLXZ8/lMZ9JjslkN3q16+fAED0sX79+hKPJyMjQ/j+++9Vj7179xpch0KhEIKDg4WJEycKNWvWlNw/XY9q1aoJ3333nZCcnGz0vqxZs8aobevzuH//vl4xPHjwQPj222+Fjh07Cs7OzgZvx8XFRRg5cqRw9epVo98HKcHBwaLbDAwMNOt2rl27JgwfPlwoU6aMQftepkwZYfjw4cK1a9fMGo+6mJgY4a233hJcXV31jqtTp05CSEiIRj2GftbWrFljsX1SevPNN036TK9cuVKoVauW3uv7+voKc+fOFbKzsw2OddasWQbFGhwcrLO+gIAAo7/bb775plneT111FScvL0/4448/hLp16xq8zUaNGgnLli0T8vLyjNq2GKlt2bLk5GThww8/FLy8vPR+7wICAoTly5cLCoVCVU9JHSfDwsKE4cOHC25ubgb9vd3d3YVRo0YJN2/eNGq7Q4YMMWh7RYWHhwuvvfaa4OLiUuy6DRo0ELZs2WLqW6VF+d4Z+hujPG69/vrrwvr16/U+dgUGBpr0nokx9nhV3GPWrFmCIJh+PqSsx5zvC1D8sdxU5cuX1zsWse/03r17hebNmxe7bpMmTYSNGzfqFdPWrVuF559/vtg6a9asKfz9998axyNTFRYWCnv27BHGjBkjVK5c2ajPQr169YQ//vhDyMrKMjoOU3/zd+zYITRt2lTv9T09PYUPP/xQSElJMe0NLMUseU0l9ggICNCK4f79+xbbnth5eUltx9YZc63UpEkTYdu2bRr1SH2G9D1Xvnr1qkHvtdjv1s6dO4X27dubdPwxltRvpLnPJw3Vo0cPjXiaNWsm5Ofna73OkPfZXhhz3lLc383Q3zdb+AyY4s6dO8LQoUMFJycnvfe3X79+wvXr1zXqMXdbgNLt27eFGTNmCC1bthRkMpnBfxsPDw9h8uTJQkREhEnvk6ntMoawlX0mMoRttyyRpMzMTJ2NMNHR0dYO0WDff/+9UQ2xUg8fHx9h586dRsVizaRWSEiI0KdPH4N+4It7TJo0ScjNzTXqvRBj6cba1NRUYeLEiUb9mKo/ZDKZMGnSJCEtLc0scSlt2rRJKFeunNExffbZZ6rGJkdKaqWmpgq9e/c2+u/VsGFDITQ01KBYmdT6T0hIiFC/fn2TjxcNGzYUTp48afD2xUhtw1YdO3ZMqFq1qtHvXc+ePVU3VFj6OJmVlSV88MEHJv9WODs7C9OmTTM4qWxKUuuPP/4wKpHUr18/o5LfRRUWFgozZswwqKFN16N8+fLCpEmThLCwMJ3bZVLLPO8LYLtJrZycHOGtt94yeH8GDhwoZGRkiMaSmZkpBAUFWeX7kpubK3zxxRdCtWrVzPbZql69unDq1Cmj4jH2Nz8vL08YPXq00TFXq1ZN+Pfff016L0srJrUstx1bZsq1EgBh+PDhQk5OjiAI1k1qPXnyRBg4cKBR++DISa1Vq1ZpxOLk5CScPXtW9LX6vM/2hkkt0yxatMjgm/GUDzc3N+GXX35R1WXutoAdO3YInTt3Ntux28nJSZg9e7Ygl8uNeq9KIqlla/tMZAjH7Q/t4I4ePYq8vDzRZX5+fggICCjhiEw3e/ZsyX2qWLEiBg8ejDZt2qBq1arw8vJCWloaEhIScP78eRw7dgwJCQka66SmpmLo0KH47LPP8L///a8kdsEsNmzYgEOHDokuc3Z2xosvvojOnTujQYMGKF++PPLy8pCcnIywsDCcOHECV65c0Vpv6dKluHDhAvbs2QN/f39L74JJbt26hSFDhiAyMlJ0eceOHdG/f38899xz8PPzQ2JiImJiYrBv3z6cO3dO47WCIGDp0qX4999/sXPnTjRu3Njk+P73v//hiy++EF0mk8nQtWtX9OvXD8899xx8fHzw+PFj3Lt3D9u3b0d4eDgEQcAPP/yAJ0+eYPXq1SbHYyvS0tIQGBiIa9euAXj2XnTq1En1t6pQoQISEhIQFRWFf/75B3fv3tWq4+7du+jSpQt27tyJF198saR3wa799NNP+OyzzyCXy7WWValSBUFBQWjRogX8/f2Rm5uL+Ph4nD59Gvv370dGRobG6+/evYsePXpg0aJFeO+990pqF6zu77//xtixY1FYWCi6vHXr1hgyZAgCAgJUx54HDx5g165duHr1KgDg33//RZcuXXDy5EmLxvrgwQMMGTJE9X1T5+TkhC5duqi+e+XLl8eTJ08QFRWF3bt34/r16xqvl8vlWLRoEU6ePIndu3db/Dfiyy+/xHfffWfUugcOHECfPn1w9OhRo4cZLiwsxBtvvIGtW7dqLfPx8UH//v3RsmVL1KpVC97e3sjPz0dycjJCQ0Nx5MgR3L59W2u9tLQ0LF26FDk5OVi7dq1RcZH9y83NxcCBA3Hs2DGD1927dy9efPFFHD9+XGM43szMTLz44ou4cOGCwXUeOHAAgwYNwsGDB40eAislJQXff/+95PIaNWpg4MCBaNWqFSpVqgR3d3ekpqYiLi4OZ8+exbFjx5CamqqxTmxsLLp3746ff/4ZU6ZMMSouQxQUFGDgwIE4cuSIqqxly5aq43nlypXx9OlTPHz4EDt37hQ9j378+DF69+6NtWvXYuTIkRaPmYxXrlw5a4dQ6pl6rQQAmzZtwuPHjyWviUtCbGwsevbsqYqJnnny5Ak++eQTjbJJkyahQ4cOVoqI7IUgCHjvvfewZMkS0eXOzs7o06cPevTogRo1asDLywtxcXG4c+cO/vnnH8TExCA/Px8ffPABUlJSMGvWLLPHuHTpUpw+fVp0WZkyZdCvXz906NABtWrVQvny5ZGVlYXk5GRcvXoVwcHBuHPnjsY6CoUCs2fPxunTp7Ft2zabGPq9qNK4z+Q4mNSyU0Ub79U1bdq0BCOxrHLlyuHbb7/FhAkTdDZg5efnY+PGjfjkk0+QmJioseyHH35A5cqV8dFHH+m93T59+mhc/AJAQkICRo0apfXaKlWq4O+//9a77qpVq+r9WnWvv/465s+fj+eee07n6y5fvozPP/8cR48e1Si/cuUKhg0bhpCQELi7uxsVg6VdvXoVL730EpKTk7WWde3aFStWrJAcS/mrr77C3bt3MX78eJw6dUpjWXh4OLp27YqjR4+iZcuWRsf322+/SV6kdezYEWvXrkWDBg1El3///fc4fPgwxo8fj0ePHmHNmjVo2LAhqlSpIvr63r17a10wAECTJk2Mjl9fn376qehnfdSoUVrJY+DZCeqIESNUDexdunTBqlWrJN+LefPm4dChQxg7diweP36ssSwzMxODBw9GcHAwXnjhhWJjHTNmjOj4+x9//LFW470+1q9fj5ycHNXzQ4cOYcGCBaKv7datG77++mvVc6lkQNH38/r16/j4449Vz+vXr4/FixdrrGNIYmHGjBmijY6enp6YO3cupk2bJjr3z/vvv4+cnBzMnTsXP/30EwoKClTLCgsLMWXKFOTn5+PDDz/UOxZ7tWvXLrz55ptQKBRayxo1aoR169ahXbt2ouvOmjULly5dwtixY3Hjxg3cunULL7/8ssZnw5yioqIQGBiImJgYrWVdunTBihUrJOeg+uabb3D27FlMnDgRYWFhGssuX76MHj16ICQkRK/fqblz54o2SPfq1UtynWXLlmkktJ5//nkEBQWhXr16qFSpEtLS0vDgwQPVHIpiTp48ifnz5+PLL78sNkYx06ZN00poubm5Yd68eZg6dSrKlCmjc/0jR45g8uTJuHfvnsHb/umnn5CSkqJVrus9K07RcxVA+vi3YMECvefOq1OnDgDt86EzZ85INiL89ddfWp8dZT26iL0vX375pUYi55dffsHzzz+vem7pOQB37dqlcUwEgGvXrmH69OmS64wfP16V0PLw8MDgwYPRrVs3VK9eHQqFAnFxcTh69Cj27dunVTcAXLhwAe+//z5WrlwJ4Nlv6/Dhw1XvQ9myZREUFIQOHTrA398fBQUFiI2NxZEjR3DgwAHRmxqOHTuGRYsW6YzbGFWqVMHChQsxfPhwnfNkZWVlYeXKlfjqq6+QmZmpKi8sLMTUqVPh7++PoKAgvbdrzG/++++/r/oMN2nSBKtXr5Y8v/j6669x8eJFjB49Wuvmm8LCQowZMwZly5bF4MGD9Y6ZNP3999+S5776iI+Px7hx40S/Q87Ozvjjjz+0yqtWrSp6rJQ6rzUkRrHzcrFtSR0/mjdvjp9++smo7dgic14rhYSEYMKECejRo4dJMdWrV0/0b7Ju3Tr89ddfoutkZ2ejX79+GgmtZs2aYdCgQahbty6qVKmCvLw8hIWFYd26dYiKijIpRnsybdo0jWt1f39/nTc/OKKi5y2hoaGi1+0A0LBhQ/z++++q576+vqKvK/r7FhcXh3Hjxql+2ytWrIh169ZptIlJ1WWrpk+fLpnQGjRoEJYuXSp5Dbxw4UJs2rQJU6ZMQXJyMmbPnq1zzt3Ro0djzJgxWuXGnD86OTlh8uTJmDNnDipWrKjztf/++y8++eQTrRtkjhw5gtGjR2PHjh0GzXtqaLuMuVhzn4kMYtV+YmS0l156SbK757hx46wdnlGKDkXk5+dn8FBkjx8/Flq1aqX1njg7O5s8BIDU0BViw1yYYuLEiVrb+Pbbbw2qQ6FQCDNmzLDY58MSw2pFR0cLlSpVEq33gw8+EAoLC/Wqp7CwUJgyZYpoPZUqVTJ6aM6zZ89KDvM1ZswYoaCgQK96UlNThTZt2ggABFdXV+GTTz4RrdPYOZUsSWpovi+++EL1/wkTJujd1TwhIUFo1qyZaJ3+/v5Camqq0bFKDQth6HFALpcLXbt2lTze7tmzx6D6srKyhMaNG6vWd3FxES5cuGBQHeoWLVokGlfZsmUNqvfQoUOiw8HJZDJh3759Rscn9b7Zkvv370vOn9WrVy8hMzNTr3pyc3OFAQMGqNYdPHiw2Y+TSUlJQp06dUTrfeONN/T+7uXl5Ql9+vQRradLly56H8/ESP3N79y5I7i7u6u+38V9d0JCQoQaNWqI1uXu7i7ExsYaHNv58+dFj+OGfo8zMjJEh+kw9rht7u+JuY5/YnJycgRfX1/R+r/77juT6xeEZ8M9qQ9LU6tWLbPOD2UsXec+69atUz1/+eWXhcTERMl6bt26JTmvk0wmEy5fviwIgiD89ttvqvLx48cL6enpknVevXpVaNCggWid3t7eQkJCglH7/PjxY6366tatKzx48MCgeu7evSs6V66Xl5dw+/Zto2JTJ/WZVz8/GTBggN5DcWdkZAgvvviiaJ1eXl4mzVlR2hQdOs6U904ul0v+XQAI33zzjUH1SZ3XWuLvW1LzbFqTJa6VAEgOd2zqtZLUsGWzZs0S3nnnHdXzpk2b6hyWW2p4U0ccfvDAgQNacRSdA60oqe+rPQ8/KOaNN96Q3Nfff//doLrkcrnWnGXbt2+3UOQlY8uWLZLvz4wZM/Q+z4uJiVEdu319fYXJkyeb9fNV9PrIyclJ+OuvvwyqIy8vT3LYwLlz5xoVV1Hm/P2yl30mEmNbLUukt+rVq0v+KNjrQaNog+ru3buNqicuLk50TpR27dqZFJ+1klpBQUFG1yX2wyKTyYQbN26YFKO5L8zy8/NFk5HAs4ZhQ8fjlcvlQv/+/UXra926tcENtvn5+ZINUO3btxfy8vIMqu/x48eqxlqpOV3sKaml3Ie+ffvqnXxUioyMFHx8fETrnTBhgtGxmrNRNzo6WnJ+FT8/PyEuLk7vutQvkk09Xp8+fVpwcXER/Y4fOXLE4Po2bNgguo+VKlVSzRNlKKnfKVsiNQ9cnTp1DN7vzMxMoUWLFpL7bcpxUhAEyeNajx49DD6uZWdnS8ZqaMOgOqn9VsYeEBCg93fmxo0bgre3t2h9P/zwg8Gxvfzyy1r1DB061OB6BEEQkpOTtW7EKA1JLUEQhKlTp4rWX7t2bbMkn3788UeNeufNm2eGqE0nde7TunVr1XnnpEmT9KorLi5OqFy5smh9r7/+upCQkKD67Ov7fbx//77k7+nPP/9s1D4XTWq5uLiokm6GunHjhuDp6akV26uvvmpUfeqkPvPK85OWLVvqfYOC0tOnTyXPe/r06WNyzKWFOZNac+fOlTxevvjiiwZfLzCpZT6WvFaSelgqqdWvXz/VvM59+vTRKxmel5cn1K5d2yK/ubaS1MrKyhJq1aqlEcPgwYOLXU/q7+doSa3U1FTRmzeAZzdjFTfvqrpvv/1WY317vWldKTk5WahSpYroezNs2DCDzx1v3rwplC1bVuN33lyfr6IJno8++sioegoKCkRvwvD09NR545O+LJnUstV9JhJjWy1LpJeCggKdE8MvXrzY2iEaRT2p1blzZ5PqWrp0qeh7c/jwYaPrtEZSSyaTCeHh4UbXlZiYqPrBV3+88cYbJsVo7gszqYvU8uXLG92Y/vTpU9F9BwxvIJOKz8nJyeg7jNevX2/RCzVLkDp5AiCUKVPG6F5wf/zxh2idMplMOHHihFF1mrtR9++//5bc95deekmvk/F//vlHY71OnToZnARUysvLExo1aiQaz1tvvWVUnYIg3Qv4vffeM6o+qffMVqj3rij6OHTokFF1nj59Wud329jj5J9//in53bt7965RdZ48eVK0Tg8PD+Hhw4dG1alr311dXQ26qBcEQfj8889F62revLlB9WRnZ4s2qK9evdqgetQtWLDALMdtc39PLJ3UunHjhtm/N+rq16+vqs/FxcWgGwcsSercR/lo3769QcnlhQsXitbj5eWluvN4yJAhBsX4zTffiNbZtm1bA/f2maJJrZEjRxpVj5LY99nJyUm4c+eOSfVKfeaVjzNnzhhV7759+yTrNPQu5tLKXEmtkJAQwdnZWfRvUaVKFSE+Pt7gOpnUMh97vFaSSmopHy1bthSys7P1ru/rr7+2yG+urSS1Pv74Y43te3t763WuKPX+OlpSSxCeHaek2umaNGmi1+fp3LlzGjct1q1bV8jIyCiB6C1n3Lhxou+Jt7e38PTpU6PqLJr4M9fnSz3B4+XlZdLIMTdv3hT9PMyYMcPoOpUsldSy5X0mEiM9CDrZrLi4ONF5P5T8/PxKMBrLeOutt0xaf+zYsfD09NQqX7VqlUn1lrROnTqhfv36Rq/v5+eH1157Tat8y5YtGnMbWFNCQgL+97//iS6bOnWq0WNFV6xYUXIC8u+//15r7jUp2dnZknMqBQUF6RzLWZcRI0ZYfE6QkjRp0iQEBAQYte64ceNE5/ARBAHffPONqaGZxciRIzF8+HDRZUePHsX8+fN1rv/o0SO88847qudly5bF33//LTrXlT6WLVumNSkrALi4uGjMWWSouXPnipavXLnSouN2W4Ouz1fbtm3Ru3dvo+rt1KmT2edbyc3NxYwZM0SXvf3225LzUxSnS5cuovuZk5Oj1xwfhpo4caLB836++eabouXXr19Hamqq3vXcvHkT2dnZWuXVq1c3KB51hswF5EiaNGmCTp06iS5bvny5SXUHBwcjIiJC9XzQoEGoVq2aSXWWlB9++AEuLvpPVzx69GjR+aiysrKwZMkSuLi44McffzQoBqnz50uXLiE9Pd2gugypX1/vvfeeVplCocCaNWtMqleXIUOGoGPHjkat279/f8m5WG3l/KQ0ePr0Kd544w3ReeOcnJxMnqeLTOOI10oymQx//PEHPDw89F7HlHmbbd3Vq1exaNEijbJvv/222Lm+S5tu3brh008/FV128+ZNjTmVxaSnp2PEiBEoLCwE8Oy67u+//4a3t7fZYy0pDx8+xNq1a0WXTZo0qdj5mqR8+OGHRs9Vr6+hQ4eifPnyRq///PPPi84JaMttkqVxn8m+Mallh9LS0nQuF0vm2INu3bohMDAQgYGB6Nmzp0l1ubm5oWvXrlrlISEhJtVbEho0aKB6H9544w2T63vppZe0ygoLC3H69GmT6zaHhQsXijY0Ojs7Y+rUqSbVPW3aNMkGo4ULF+pVx6ZNmyQbgqSSZvqQyWSik5faK6mGZ324u7tj/PjxosuOHj2Ke/fuGV23OS1ZskTy4u2rr77CpUuXRJfJ5XKMHDlSY0LhX3/9FbVr1zYqjsLCQslE8MCBA01qAO7YsSNq1aqlVZ6Xl4eVK1caXa8tKtp4rs6U7zZg2vdBzJo1axAbGyu6bMKECSbVPWLECNHy1atXIycnx6S61clkMskLfV0aNWok+Zm+fv263vU8fvxYtDwjI8PgmJRq165tUIOXI5H63O3evdukBPiyZcs0nk+cONHoukpS69atERgYaNA6fn5+aNWqleTygQMHGpywrlGjBpo0aSK6zJDvi5Kbm5vqnLR79+5GJ4fU42vYsKFWuSXPz009Hkv9HoSHhyM4ONikuql4giBgzJgxkr+Bn3/+uei1DpUcR7xW6tu3r+TNG1JatGiBL7/8UvUw9mY/WyOXy/HOO+9oJJXbtWtn8rmyo5o7dy5at24tumzJkiXYvXu35LqTJ0/G/fv3Vc+//PJLdOjQwewxlqSVK1dK3pBvymfIw8MDr776qtHrS2nevLnqvMccN6+J/T4lJCTg7t27JtdtLqVxn8lxMKllh8QSAOrc3NxKKBLzOnz4MI4fP47jx4+jTp06Jtcn1mAcHx+P8PBwk+u2pI8++kj1Prz77rsm1yfVcG4LCb6CggLJu3M7duxocq/DypUro3379qLLVq9ejYKCgmLrKNrAplSuXDl07tzZpPhefvllk9a3FbVr19bZMKeP/v37i5YLgoAVK1aYVLe5+Pj44K+//hJNlBYUFOCNN94Q7QE5b948nDx5UvX8lVdeMelu93379iEuLk502ahRo4yuV0mql9GGDRtMrtuWSH23ZTIZ+vbta1Ldffv2NesNJlK9X5o2bWryXcxSf++MjAzs3bvXpLrVvfDCC0bf0Su1jzdu3NC7Dqnk1fHjx40JSeWbb77BrFmzMGvWLAwdOtSkuuzJa6+9Bh8fH61yXb/rxXn69Cl27Nihel6rVi2je0yWNGP/9o0bNzZ7nVK9IQ35vihVqFBBdU4aHBwMLy8vo2JSJ3ZeeunSJWRlZZlcd1FeXl4mH8/79esnuUzqd4T+06FDB/z222+qh6F35c+fPx8HDhwQXdalSxfJHuZUchzxWsmY8+m6deti3rx5qoexN6/Zml9++QWXL19WPXdxccHy5ctFr4cIcHV1xYYNGySvA8aNGyd6Hffnn39qXGt16NABX331lcXiLAlyuVyyh07jxo1NTvxa4vjw448/qs57zJHgseW2OKXSuM/kOPhLZIfy8vJ0Ljdk6BNHJpUQKW13CNjy+xAcHCw5DOCAAQPMso2BAweKlj958qTYH9b4+HhcuHBBdFnPnj1N/q4FBAQ4xLANYr0iDfXCCy9IDjW5a9cuk+s3l8DAQHzyySeiyyIiIrTuODt9+rTGEEXVq1c3uRFsy5YtouUymczgngJipBIIt27dwqNHj0yu3xbI5XLs27dPdFmLFi1MHsbI09MTbdq0MakOpYiICISGhoou6969u8n1V6hQQfI4dPDgQZPrV+rTp4/R60rd6PL06VO966hQoYJo+erVqxEZGWlUXADw8ccfY/bs2Zg9e3apSmp5eHhINvqtXLkSgiAYXOfatWuRn5+vej5+/HjIZDKjYyxJxvYUqVu3ruSyXr16mbXOJ0+eGFWfuYmdlxYWFiIqKsrs22rTpo3JvSn9/f3RvHlz0WV79+4VHRKP/tOoUSNMmTJF9Shbtqze6549exZffvml6LKKFSti48aNRg/jTObhiNdKMplM8vqxtHnw4AFmzpypUTZt2jSHHmrRHBo2bCg5jHdSUhJGjRql0XspMjJS4xrS29sbf//9t9236128eFHyRkxTrguUOnbsaPPvkS23xVlKadxnsh4mtexQmTJldC5XjsFb2kld5CQlJZVwJNZly++DrgbTtm3bmmUbuuoprsH2/PnzksukhhUw1PPPP2+WeqxJaqgjQzg7O0smU+7evVvssKsl6ZtvvpHsmfbnn39i06ZNAIDU1FSMHDlS1eAlk8mwdu1aycZ1fQiCgEOHDokua9y4sVnmVGzWrJnkMke5w+rGjRuSvQJs7but6zjVrVs3s2xD6m9uzr+3oXNpqZMaM9+QOYKkGqWzs7PRq1cvXLx40ajYSjP1eQLV3bt3D8eOHTO4PvVeuS4uLhg3bpzRsZU0Y7/vUvMWlC9fHv7+/kbVKfUbY445tcyhJM9LzXF+Akj/LmRlZeHmzZtm2QZpSklJwfDhw0Wva5XnUzVq1LBCZKTOEa+V6tSpg3LlypXoNm3Vu+++q3G+XKtWLcyZM8eKEdmPSZMmSSZHg4OD8cMPPwB41sN9xIgRGqN9LFq0SOdNL/bC0scHNzc3m3+fbLktzlJK4z6T9TCpZYeKG9JInyHVSrPk5GRrh2ATbOF9OHfunOQyQ+eRMKYeXSdaxS2vV6+e0TGp0zX0kL0w1z5IvaeCIEjeBWoNrq6uWL9+veTd35MmTUJ0dDQmTJiABw8eqMqnTZtm8rwPkZGRkieEpiQN1OmadPfatWtm2Ya12dN3W9dx0tJ/86ioKNEhNY1hyvsh1fBvyHxY/v7+khfQ0dHR6NChA958802jhmgrrZo3by45xK/UkJlSjh8/rjE89KBBg0yaH7AkValSxehJtaXO6Rs1amR0PFJ1mjJ/XEmwxHmppc9PgOLPJck4Y8eOxcOHD0WXffjhh+xJYyPs6XxKX7pu7ipNNm3ahP3792uULVmyxG7nb7eGVatWoXLlyqLLZs2ahQsXLuDLL7/UmJd52LBhePvtt0sqRItyxOODudhCW1xJK437TJZn2301SVRxdw4VN+eWPYmNjUVwcDCuXr2Kq1evIi4uDmlpaUhLSzN6Antbv6gXk5eXh+DgYFy+fBlXr15FeHi46n3IyMiQnHxTF1t4H6QmLffw8DDbUBM1a9aEu7s7cnNztZYV10CvPn54UfXr1zc5NgAGzy1gi0zpeaRO13t65coVo4disoTGjRtjwYIFeO+997SWpaWloXPnzhrDLTRr1gzff/+9ydvV9Zk119j9uoYGun37tlm2YW329N3W9TevVauWWbYh9TcXBAF37twxS89ZU3oRSiWQixuOuajPP/8cr732mugyhUKBdevWYd26dejatSveeOMNvPLKK2bp/ejIJkyYINposWvXLiQmJqJSpUp61VN0WNaJEyeaJb6SYMpvoNToC6bUaa7viy6RkZE4ceIErl69itDQUCQkJKjOS43djiXOS0vq/ITM65dffpEcerpdu3b43//+V8IRkRR7Op/Sl76/W44sJSUF06ZN0ygbPny4yXMUljaVK1fG6tWrRZPwBQUFGDJkCBISElRl1apVs5m5pM3BUY4PmZmZOHr0qKpNMioqSnXOk5mZadSQ27bQFqdLadxnsk9Matkhf39/ODk5SSYyDJljwhYJgoB//vkHK1euxNGjR41K2BRXv724desW/vjjD2zcuBEpKSlmrdva78PTp08lh/+qXLmy2ebRcHJyQqVKlUTnAsrIyEBycrJko4f6SaZYjOZgyNwCtspc+6DrPdX1t7CWd999F/v37xedm0k9oVWmTBmsX7++2KFj9REdHS25LCsrC0ePHjV5G7rmB4mJiTG5fltgT99t9d5+6sqVK4fTp0+bZRtScxsCz/7m5khqeXt7G72uq6urydsHgFdffRUjR47E+vXrdb7u5MmTOHnyJKZMmYKuXbti2LBhGDp0KGrWrGmWOBzJ8OHD8eGHH2oNbZefn481a9bg008/LbaOp0+fYseOHarntWrVQu/evc0eq6V4eXnZRZ2mKiwsxNq1a7FmzRqcOXPG7PVb4rzUEc9PunfvbtLQsAEBATrPJazt0qVLkseN8uXLY/PmzWb7TSDT2dP5lL449CDwySefaPxtfXx8sGjRIusFZMcGDBiAd999F4sXL9ZaFh8fr/q/TCbDmjVrHOKGVyWp44OTk5PZbhqz5PHh/PnzWLx4MbZt2ybZbmUsa7fFSSmN+0z2jUktO+Tq6gp/f3/JxkV7TmrdvHkTkyZNwqlTp6wdilVlZ2djzpw5WLhwocPOkaZ+EleUuRtzdDWmPn78WDKplZqaKrmeuYZeMKWh11aYax90/d11/S2sadWqVWjWrJnOpMB3331ntqFMdH1vfv/9d/z+++9m2Y4x27cn9vLdzszMlBz+Lz09vUR6L5rrb24rjfRr1qyBIAjYsGFDsa+Vy+U4fvw4jh8/jg8++ACtWrXCyy+/jJEjR5qtl5y98/T0xMiRI7FkyRKtZStXrsQnn3xS7E0qf/75p0bvnvHjx5vtxpaSYImhmGxteKfTp09j0qRJdjc8Z2k+P7FH6enpeP3115Gfny+6fOXKlWbrlU7mYS/nU4awlfMVawkJCcHq1as1yn788UdUqVLFShHZvwULFuDff//FnTt3JF8zZcoU9OnTpwSjsiyFQiE5l6dUj3JjWOL4kJycjE8//RSrV68uNYmY0rjP5BiY1LJTjRo1kkxqSd3Vbev279+PoKAgyWFL/Pz88NJLL6Fdu3aoVq0afHx8dN6pt27dOvz111+WCtdikpKS0KtXL1y9elV0ubOzMwIDA9G+fXs0atQI5cuX13nynZCQgFGjRlkqXKPpuvPD3BcTuurTFYeuCzVzxSg1kaY9cXIyz/SMui5+zd1T0VyqVKmCVatWYfDgwaLLy5Urh8mTJ5tte+a+Y8pQ5ppfydrs5btt7b83YL6/ua0kKZRz4r300kuYPn26QeO7K4fg+PrrrxEYGIhPPvkE/fv3t2C09mHChAmiSa2IiAgEBwejZ8+eOtdXH2rHxcUF48aNM3uMlmSJz7atfF+AZ4mEiRMnSo6cUKNGDfTs2RNt27ZF5cqV4ePjo/P4N3/+fBw+fNhS4Woozecn9uidd95BVFSU6LLJkyfjlVdeKeGIqDj2cj5lCFs6/pa0vLw8TJgwQaNRu2vXrhg/frwVo7J/Hh4eWL9+PTp06ICCggKt5U5OTnr1bLcn6enpkskRc7b1mPv4cP/+ffTo0UOyTbVMmTJ48cUX0b59e9SuXRs+Pj46k3TXrl3D9OnTzRqjuZXGfSbHwaSWnXrhhRckh5m6d+9eCUdjuoMHD2LYsGGid+aVL18e8+fPx5gxYwwavssee3ulpaWhZ8+eknNNjR07FrNnzzZoCCRbHWJE15wL7u7uZt2Wrvp0xaGrMdccQ8mRJl1/J1tOpgwaNAiTJk3C0qVLtZalp6fjyy+/xMKFC82yLXPOiWIMsbnp7JG9fLet/fcGHOdvXtTYsWPx8ssv4/fff8cff/yhMWRocQRBUPXgatu2LZYtW4bWrVtbMFrb1rJlS7Rr1w4XL17UWrZ8+XKdSa3jx4/j7t27queDBg1CtWrVLBInGW7VqlVaDZxK/v7++OWXXzBs2DCDGpX+/vtvc4ZYIuz1/MSeLF26FFu2bBFd1qJFC7OdR5F52cv5FOln3rx5CA8PVz13c3PDsmXLSnWiz1xat26Nb775Bp9//rnWMoVCgQ8++ADbtm2zQmSWYY/HhocPHyIwMFB02gonJyd8/PHH+OSTTwyad8/Fxbab3EvjPpNj4afNTnXo0EFy2c2bN0swEtOlpaVh7Nixogktf39/nDp1qtQMNfHFF19IJrSWLl1qVxOnF0fXyYy5G1FzcnKMisPb2xtpaWmiy3Jzc21ueCB7p+vvbutzj/Xs2VM0qQUAixYtwoABA/Diiy+avB1dn9eVK1fi7bffNnkbpYGuoSpsKYmj6+9do0YN0QsQ0l+5cuUwY8YMfPbZZzhy5Aj+/vtv7Nq1y6BG6kuXLuGFF17AggULtCZVL00mTJggmtTasWMHEhMTJS+Gly9frvHckc5z7F10dDSmTp0qmtBq2rQpjh8/7lBzf+hiz+cn9uDatWv48MMPRZd5e3tj8+bNZr/hjcyD10qO4/79+/jxxx81yvr06YPY2FjExsaafXtRUVHFzgXs6+uLNm3amH3b1qLrJp/t27dj9erVdtdbXYq9XGupmzRpkui1lYuLC3bu3IkBAwZYISrLKo37TI6FSS071bNnT7i7u4v+IDx58gQPHz60mwnN58yZIzlnx9atW0tNQis0NBTLli0TXTZhwgSHa+gxdkhAY+iqT9cJl4+Pj+SFWnZ2tlku1ORyucl1WJvUkESG0vV38vHxMcs2LCE+Ph7vvfee5HJBEPDmm28iLCwMvr6+Jm1L1/eGd4vrT9fnKTs72yzbMMd3m3/vkuHs7Iy+ffuib9++yMnJwd69e7Fx40YcOHBArwtvuVyODz/8EHl5efjss89KIGLbM2LECHz00UfIyMjQKM/Pz8fatWvxySefaK2TlJSE7du3q57XqlULvXv3tnispJ+PPvpI9Hjo7u6O3bt320VCyxHPT44fP16i27O0zMxMvP7665LH2sWLF6Nhw4YlHBXpi9dKjuPBgwdaNxnv2bMHe/bsscj2/vrrr2KniggMDHSYY152djZGjx6t8zUffPABunfvjjp16pRQVJZTrlw5yGQy0RtjzHWtBZjv+LB7924cOHBAdNncuXMdMrlTGveZHI95BhqnEufl5aXzwv/MmTMlGI3x5HI51q1bJ7qsX79+6NSpUwlHZD1r164Vvfh2dXXF119/bYWILEvX8EIlmdTSFYeuBIS5YnSEhmlz7YOu99TUZJAljR07FomJiTpfExsba5bEtK7PqyN8lkqKvXy3vb29JRPv/HtbhoeHB1599VVs374dCQkJWLNmDV566SW9ht758ssvcfbs2RKI0vZ4eXlhxIgRosvU58xS9+eff2oMsTl+/HgOcWQjkpKSsHv3btFlY8eOtZsbzkr7+Yk9ePfddzWGIFX31ltvFdsITNZlL+dTRNb20UcfSR7rlDIzMzFq1CiHSOQ6OTmhfPnyosvMmdQy1/Fh9erVouV+fn744IMPzLINW1Ma95kcD5NadmzMmDGSyw4ePFiCkRjvxIkTSEpKEl1W2iYD3rlzp2h5hw4dUKNGjZINpgRUrFhRcsiWhIQEs91dq1Ao8OTJE9Fl5cqV03kxVqVKFcllCQkJJscGQOuudntkrpNJXe+prr+FNf36668ax9v+/ftj6NChoq/dunUr/vzzT5O2V6tWLcllUnfKkjZ7+m5L/c0LCwvNelFI2sqVK4e33noLR44cQXh4ON5//32dQ0LK5XLMnDmzBCO0LRMmTBAtj4iIQHBwsFa5+tCDLi4uDjPkjiPYvXu3ZKOaPZ2fl+bzE3uwZs0ayZ4ajRs3xu+//17CEZGh7Ol8ishadu/erTEiT8uWLfHuu++Kvvbs2bOYN29eSYVmUVLHB0EQJNtnDGWO40N2djYOHz4suqxfv34OOYxqadxnckxMatmxoUOHIiAgQHTZvn37UFBQUGKx3Lt3D02bNtV6SN21qxQaGiq5rDT10kpJScGDBw9Elzny+9C8eXPR8tzcXDx8+NAs24iOjta4E1xdixYtdK7btm1byWUREREmxaWUnJxslnqsSSoxbShd76ktjqd+8+ZNjaHGqlSpgjVr1mDFihWoWrWq6DpTp05FdHS00dvU9Zk112eyNLCn7zb/5rahXr16+PXXX3H37l10795d8nVHjx6VHFLZ0bVp0watW7cWXVZ07qyQkBCNO5YHDRqksycqlSyp83OZTKZzXl9bU1rPT+zBrVu3MGXKFNFlHh4e2Lx5s84heMk22NP5FOnWvXt3CIJg9oeUWbNmFbuuIww9GB8fj/Hjx6uee3p6YsOGDfjpp5/QtGlT0XXmzZuH8+fPl1SIFmMvx4e7d+9KzsHuqG1xpXGfyTExqWXHnJ2dMX36dNFlT58+xd69e0sslr/++gs3b97UenTs2FHneroafqQahR1RaX0fdH0+iuuer6/w8HDJZcU1zLRv315yWWRkpNExqbt9+7ZZ6rGmO3fumKUeqfdUJpOhXbt2ZtmGueTl5eGNN95QzQEhk8mwdu1aVK5cGX5+fli7dq3oMFrp6ekYPXq00T0R69ati0qVKokuu3nzplF1lkb29N3WdZzk37zkBQQE4MiRIzqHgD516lQJRmRbpHpr7dixA0+fPlU9L5rkcrR5Q+2d1HlpuXLl7OruXUufnwDACy+8YJZtlCY5OTl47bXXJHsbL1q0CM2aNSvhqMgY9nQ+RWQNRYepX7hwIRo3bgx3d3esX79edASAwsJCjBo1yuxTMpQ0ezk+lMa2uNK4z+SYmNSyc5MmTUKjRo1Ely1atKhEYlAoFKJDR5QpUwajRo3SuW5KSorkMql5RPRlTycBpfV96Nevn+SyixcvmmUbuurRtX1A94nY5cuXjY5J3a1bt8xSjzWZo2G9sLAQ165dE13WqFEjlCtXzuRtmNOMGTNw/fp11fOpU6eib9++qud9+vTB+++/L7ruqVOn8P333xu1XZlMprEddffu3TPrvAMnT57E8OHDNR5Hjx41W/3W1KRJE8ljq619t3Udp6S+M8b64IMPNP7ekyZNMmv91pSZmYn4+HjVwxQuLi5Yvnw5nJ2dRZfHxsaaVL89e+ONN0S/W3l5earhV5OSkrBt2zbVslq1aulMElLJkzovNfWcFCjZ81JzJf6lfhe8vb3RpEkTs2yjNHn//fcl/zavv/66ZHKcbA+vlYik/fbbbxrD1A8ZMkTjJp7mzZtLXhNGRkZi2rRplg7Roix9fMjPzzdLcqw0tsWVxn0mx8Sklp1zcXHBL7/8IrrsxIkTonMYmNu6desQFRWlVT5q1ChUqFBB57o+Pj6Sy0ydH0b9jmBzsOTk5fb0PphTt27dJO8E2bdvn1m2IdVjsVq1aujatavOdStXrizZSyI4OBj5+fkmxfbo0SOzDbNoTadPnza5jrNnz0p+1qXmqLKWo0eP4ueff1Y9b9asGX744Qet1/3www+SjV2zZ8/GpUuXjNr+66+/LlquUCjM9r0Bnk0eu3nzZo2H1JC39sbJyQmDBg0SXRYWFoa4uDiT6s/JyTFbY06dOnUkh+/Ys2ePWbYBAA8ePMCvv/6q8fd2pHksFixYgGrVqqkepl5wBQQESPbQkBrOo6RY8nylOGXLlsXw4cNFl61YsQIA8Oeff2oMCzx+/HirxkzapM5LzTF3Y0mel16+fFnVo9pYjx49kkzADBo0CE5OvJw2xIYNG7Bq1SrRZXXr1tXqxamvl156SfVYt26dXuvwuGM6XisRibt16xY+/fRT1XN/f3/RY9+0adPw0ksvidaxcuVKyXnX7UGbNm3w3HPPiS5TT/YZ6/z58ygsLDS5ntLYFlca95kcE8/CHUDv3r0lewRMmTLFonNr5ebmYtasWVrlZcuW1WuCy8qVK0suk5pjSl9Xrlwxaf2iPDw8RMv1+SG9c+cOjh8/rnoUvbvent4Hc3JxccHbb78tuuzChQsmTzAcHx8v2VNr3LhxcHFxKbYOqSGRMjMzcfLkSZPiU79T3Z5FRkZq9FoyxoEDB0TLZTIZ3nnnHZPqNqfk5GS89dZbqjHi3d3dsXHjRtGhI9zd3bFhwwbJYSVGjhwpOfSOLn379kXNmjVFl/3zzz8G1ycmJycHu3fv1ihr2rQp6tevb5b6bYGu4c6kPo/6OnTokFnvUpOK9fbt22bribB582atsqCgILPUbYvUh4IxllSSV2pi7JJi7PlKamqqxrnK8ePHJeek1EWql8Xdu3cREhKiSm4Bz84Dxo0bZ/A2yLKkzkszMzNNmqdKoVCYvYepLpmZmZIToetL1+8Bh800TEREhOR75ubmhs2bNxvdM//YsWOqh9jNlmKMPVbGx8drHCdDQkIMjteR8FqJSJPYMPV//vknKlasqPVa5TKpm8Hfeecdu52r1dnZWbKtJyIiAvfu3TOpfnMdH0pjW1xp3GdyTExqOYj58+ejVatWWuVF7xAxt/fff1/07qmvvvpKr7FYW7RoIbnMlF5mcXFxCAsLM3p9MWXLlhUt16fBZ+bMmejRo4fq8fXXX2ss9/PzQ/Xq1UXXNbW3nTnugrGkadOmib63CoVCozeMMX7++WfRCWrLli2rd3f+1157TfJOlt9++82E6CA6bKe90veuWDHZ2dlYuXKl6LJevXqhdu3aRtdtbu+8847G0GILFizQOfRQ8+bN8d1334kuCw8Px0cffWRwDM7OzpgxY4bost27d+P+/fsG11nUmjVrtCbetaXkojkEBgaiYcOGost+//13k+o25fsgZsyYMZIJFKne2obIz8/Hr7/+qlFWrVo1DBgwwOS6bZU5JuCWGu5T6q7UkmLs+cqZM2c0zlV69OhhVHK2Xbt2aNmypeiyyZMna8xzNGjQIFSrVs3gbZBl6To/P378uNH1nj9/XueQN5ZgyvFYEATJc72GDRsiMDDQ6LpLm7y8PLz22muSx80ff/wRbdq0KdGYjD1Wbt++XeM4KdXzu7TgtRKRphkzZmjcwPHxxx9L9sYCnvXiUr/hR93Tp0/t+uaft99+W3K4blOOD7m5udi6davR66tr1KgR3NzcRJeZ2hZ36NAhk9a3lNK4z+SYmNRyEGXKlMG+fftEG70WLVok+SNpihUrVog2RHfq1EnvhEG3bt0kJ5xetWoVFAqFUbH99NNPoskMU3h4eIiOL5uSklJsnEW74Pr6+mq9pk+fPqLr3rhxA+fOnTMg0v+EhYXhyJEjRq1bUvz8/PDll1+KLvvjjz+M7r6cmJiIP/74Q3TZjBkz4Ofnp1c9Hh4e+OSTT0SX7d69Gzdu3DAqvq1btzrUXSx//PEHYmJijFp3xYoVor0mZDKZVgLYmlavXo3t27erng8cOBDvvfdeset9+OGHkhcyy5YtkxwiU5dx48aJTqKen5+Pzz77zOD61D19+hRz5szRKKtWrZpDznExc+ZM0fLQ0FDs37/fqDovXLiAHTt2mBKWFjc3N9EhLoFnn0tjj0NKP/zwg9Y8UJ999hnc3d1NqteWmdqrURAE0R4nZcuWRZcuXUyq21RSd18W18Om6O+tTCZD+fLljYpB6nhRdEJv9nSxTVJzNwIw6ZpiwYIFRq9rrO3btxs9T6uu8zxbOj+xBx999BFCQ0NFlw0ZMgQffPBByQYE8x0rxa7rShNeKxH9p+gw9a1bt8a3335b7HpBQUGSyasDBw6YfMOdtdSoUUNyv6TaAPTx22+/mTxcvJK3t7fkufuhQ4eMHgJ1z549uHv3rimhWUxp3GdyTExqOZBq1arh0KFDone8Tpw40Sx3cyv98ssvog0RAQEB2LFjh2TWv6gyZcrg1VdfFV12+/Zto8ZVv3z5smQyw1RijchyuVznD6ogCFon82JDeI0aNUqyjunTpxs8XnBBQQEmTpxo9uSeJXz88ceic5NkZmZi9OjRkMvlBtWnUCgwevRo0TvM27Zti+nTpxtU3yeffILmzZtrlQuCgLFjxxo8PFNiYqLkxZ+9ys3NxbvvvmtwIjo8PFwysTBhwgSrNw4r3bt3T6PBpWrVqli9erVe68pkMqxdu1ZyWIm3334bT548MSgeV1dXrFmzRvRYu3XrVqxdu9ag+pTkcjnGjRunFc+sWbMcMsHxxhtvoF+/fqLL3n33XYOH2crJyVElOsWGnTTF66+/LjocoFwux6hRo4we//z06dP45ptvNMpq167tkElMddu2bTN6XjvgWQPDo0ePtMqHDh1q9e+K2LkKgGIvUIv2cK9Tp47k3bXFGTlypORNS0q1atVC7969jaqfLOu5556T7IV06NAho4Zo3bNnj9kT/voQBAHvvvuuwXPdJSYmYsqUKaLL+vbti5EjR5ojvFJh27ZtWLx4seiymjVrYs2aNSUc0TPmOlY60tDMxrLktZK5z6eILKXoMPWenp7YsGGD3m1jv/zyC+rWrSu67NNPP9W6Mche/Pjjj6JtlNnZ2Xj77bcNbq+KiIiQHAnFWKNHjxYtLygoMGrkq7S0NHz44YemhmVRpXGfyfEwqeVgGjZsiFOnTmn9GAqCgGnTpuG1114zaUzehIQEjBw5EtOmTdP68alcuTL27Nmjc3xWMbNnz5b8of/ggw9w9OhRveu6e/cugoKCjJoDQh9Sk8Lr6kkVHBysdQdKp06dtF7Xo0cPycad06dP491339U7uVNQUIBx48bh7Nmzer3e2lxcXLBt2zbRISsPHjyI999/X+99l8vlmDp1qmi358qVK2P79u16zaWlztXVFStXrhRt3Lt06RLefvttveeuy8jIwMCBA1VjFQ8ePNigWGyRctiVPXv2YOrUqXqfmMbHxyMoKAjp6elay/z9/SV7ppQ05fxXyiFzlEmqSpUq6V1H9erVJZP0T548MWpYiTZt2kg2Eo0fP150jiRdcnJyMGrUKOzZs0ejfMiQIQ7dm2Lp0qWiQxA9ePAAr7/+uuRQSUUVFBRgxIgRqkSJqT3mxKxZswbPP/+8Vvm1a9cwaNAgpKamGlRfSEgI+vfvr3H8cnV1xaZNmyTnGnEUgiBgyJAhRo3nHx0djUmTJmmVe3l5aSUIrcGYc5XCwkKNnqiA+LmKvsqVK4fXX39d52vGjx8PmUxm9DbIsnQ1GI0cOdKgubHOnj2LMWPGlPiNVsrzk0uXLmHEiBEGnau9/vrroj3Qvby8sGTJErPG6cju378vOaeKi4sLNm7caLWeTsYcK9PS0rSuMUw5VjoKS10rubm5sZGU7MaECRM0Rj5YtGiR5FDnYry9vbF+/XrRtoqcnByMHDkS+fn5Zom1JPn4+EjedL5nzx588cUXep8fPH78GH379kVqaiqcnZ3NNlT66NGj0bhxY9FlmzdvNuj8PiMjA6+88orJc4ZZWmncZ3I8hrXskl2oU6cOzp8/jzfffBP79u3TWLZ161bs378fkydPxsSJE1GvXj296oyIiMCqVauwbNky0UazZs2aYc+ePZJzfuhSq1YtfPvtt6I9V/Lz89GvXz/MnDkTH374oejwf8Cznjl//fUXPvroI9U8MA0bNhTt+hoVFaWVKPPw8EDnzp2LjXXEiBGiPd4WLVqEIUOGwNXVVaM8OTlZaziNmjVrolu3bqL1//bbb+jQoYPofAMrVqzA/fv38csvv4g2aipdv34dU6ZMUU3M26hRI435K5Ryc3NFE4Zt2rTRuLgUe41UQ0ZKSoro65s0aVLsnBk1atTA4cOH8eKLL2olAZcsWYLQ0FCsXLlS577fuXMH48ePx+nTp7WW+fn54ciRI0bPddKuXTv89ttvePfdd7WWrV+/HpGRkfjzzz91nrgeO3YM48ePR3R0NIBnJxI9e/bE7t27jYrJVnz//feIiIjAnTt38Mcff+DGjRtYuXKlzuPLgQMHMG7cONEku4eHB3bs2KHXsFdRUVGiE4JLzdlx+fJlrV6P6t//lJQUXL58WWP5nj17NObf6d69O5ydnVWfdV3Hj9OnT6vuDi9fvjzatWsnOgzSvn37MGfOHK16unTporPXx9tvv43ExER88cUXGuVyuRzDhw/Hzp07MX/+fNSoUUOyDkEQcODAAXz00Udax8wmTZro1SPt8uXLBs2TInac8Pf31/n9tpSaNWtiw4YNGDp0qFby/NixY2jbti3+/PNPtG/fXrKOK1euYNy4capj45QpU9CjRw/MnTtX67VSx8k6deqgTp06OmMtV64cDh06hB49eiAyMlJj2cmTJ9G4cWP8/PPPePXVV3X2sImPj8f8+fOxaNEijd6VMpkMv/76q2RDn7rHjx/j5s2bxb5OSZ/fG+DZXKBFez/funVLMgZjf8+BZ/NvtmrVCvPmzcO4ceMkzzGU5HI51q9fj08//RQJCQlay3/66Sed50El9T1p2bIlGjdurHVH76FDh3D9+nXRu+lnzpypdSyVuoNTXxMmTJDsgeHi4mLTc0SIfQ4NPfcpOuys2O+VqZ9tU78vYnEqderUCe+9955oQ1RKSgo6deqE+fPnY/z48ZI3p+Xl5WHx4sWYMWMGcnNz4ezsjNq1a2sdv5RxF43P19fXpHmWpk2bhvT0dISEhGDXrl1o27YtVq9erbPO8+fPY8yYMQgPD9da5uTkhPXr16NWrVpGx1SaFBQU4PXXX5fsSTxo0CBkZ2cbdAOjOfXr1w8+Pj5a17YbNmzAF198oTXfsUKhwJQpU5CRkaEqk8lkWr32zHHtpKTPNZStsMS10nfffYeKFSuKvlbqmCb2nqmfjyuJXT8oy6X+JvqcqxlC7LpD7DVS5cV9d8TOs8xN7L3Vh673GSiZ2I2Vm5uLU6dOaZRdvHgR27ZtUz1v3LgxateurbGPUr+3Rc8P+/Xrp3WTIQBcvXoVH3zwAV5++WWNclt+r5SGDRuGTz/9FD/++KPWsh9++AE3btzAsmXLJOeZFwQBW7duxXvvvacaAnbGjBlwcnLSavM0hrOzM5YvX46XXnpJ9Ab5mTNn4tatW/jhhx9Qs2ZNyXpOnjyJ9957T9WjV6otTur7W/TaX+w8D3j2GRRz+vRprXMsqXMpW91nIoMI5LAUCoXw+++/C+XLlxcAiD4aNWokTJgwQVi4cKGwZcsWYf/+/cKePXuEv/76S1i0aJHw1ltvCc8//7zk+jKZTBg9erSQnp5ucryTJ0+W3A4AoUKFCsKoUaOEJUuWCNu3bxf27t0rrF27Vpg6dapQu3ZtjZh++OEHYdasWTrrU38EBAToHWfXrl1F62jZsqXw66+/Cnv37hV27NghzJw5U6hatarW65YtW6az/pCQEKFMmTKSsTo5OQk9e/YUvv32W2Hjxo3C/v37hU2bNgnff/+90L17d8HJyUn12o4dOwrXrl3T+30AIAQHB2vEY8i6Uo81a9bo/f7euXNHaNSokWRdHTp0EObNmyf8+eefwr59+4Q///xTmDdvntCxY0fJdRo2bCjcvn1b7xh0mT9/vs59DQwMFP73v/8J69evF/bu3SusWrVKmDFjhtY+BQYGCrm5ucKaNWtE63nzzTfNEq85BQQEiMZ6//594d69e0K1atU0voddu3YVvvvuO+Gvv/4S9u3bJ6xevVr4+uuvhYYNG0q+f97e3sLRo0f1jsmQ77k+3//g4GCT1tf3PdP3cf/+fb3eh+XLlwtubm6idchkMqFz587C3LlzhVWrVqmOUStWrBAmTpwo1KlTR3S99u3bC0lJSXptPzAw0OS/g7U/8xs3bhRcXV0l42vTpo3wzTffqI49a9euFebMmSO0adNG43V9+/YVCgoKDP4szZo1S+9YHz9+LHTq1EmyLj8/P2H8+PHCL7/8ImzevFnYv3+/sGHDBuHbb78V+vXrJ/pZcXZ2FtauXat3DFLHLkMeRX9vBEEQ3nzzTbN9n9UVd6zw9vYWhg0bJsybN0/4+++/hT179gj79+8XtmzZIvz000/CmDFjhEqVKkl+x3799ddi37OS/J6sXLlSdP1y5coJn3zyibBt2zZh3759wpIlS4Ru3bppva5jx456bac4zZs3F41j2LBhZqnfUkz9HALal1im/l6JfbYtEae6wsJCYeDAgTrX9/f3F9555x1hxYoVwq5du4Tdu3cLK1euFN555x2N8wJXV1dh/fr1BsUcGBio199L6rsVHBwsJCUlCY0bN9Yob926tTB79mxh7dq1wr59+4R169YJ33zzjdbxXP3h4uIi/PXXX3rFQ8+sWLHC5M+nMQ9Dfk+/+uor0TqqVKkizJ49W9i5c6ewd+9e4eeffxZatmyp9boRI0Zo1WnOfTHkGspWmOtaafz48YIgGH6+IfaemXo+bsxnSx/GXHcY8hA7zzI3c7231ojdWPfv3zdqn6SYen5oy++VOoVCIbz//vuS++Hs7CwMGDBAWLBggbBp0yZhz549wvLly4WPPvpIqFmzpsZrhw8fLigUCslzK2O/qxs3btRoTyv6cHNzU8WovMZav369MHv2bOGFF17QeO3QoUOFw4cPG/S3LHrtb47zvOLOpWxtn4kMwaRWKRAfHy9MnjxZcHd3N+uJRseOHYVz586ZLU6FQiHMnz9fZ6NicQ8fHx9h8+bNgiAY1nhgSFLr3r17QsWKFY2Kb8yYMXpt49KlS0LdunVN+vuMGzdOyMnJMfiky9pJLUEQhPT0dOHdd9/V+eOqz0MmkwmTJ08W0tLSDNp+cf755x+dyeLiHq+//rqQk5MjCIL0hZq1G/jF6EpqCYIgREdHC82aNTP6fWnQoIEQGhpqUExMav3nypUrQuvWrU1+P1xdXYXPPvtMyM7O1nvbjpDUEgRBOH78uODv72/SPuTl5QmCYPhnydCLr/z8fGHmzJmSyUxDHs2aNRNOnz5t0PbtLakVFxcnzJ49W3juuedMjlv9Ubt2bWH//v16vWcl/T0ZNmyYUdvw9/cXHj16pPd2dPntt99Et3Hw4EGz1G8pTGr9Jz8/X5g+fbogk8mM3kb16tVV3/eSTmoJgiAkJSUJ3bt3Nzr+qlWrCseOHdMrFvrPzz//bPLn05iHIb+neXl5Qvv27Y3aTpMmTUSvMcy5L/aY1BIE066VZDKZ8PnnnwsKhUIQBCa1THkwqWUZTGqZ5vfff9d5E3dxj2nTpglyuVwQBOlzK1O+q4cPHxYqV65sdHzOzs7CF198IcjlcoO/49ZIatnaPhMZgnNqlQJVqlTB4sWL8eDBA3z77bdo2rSp0XX5+vpi4sSJOHnyJM6cOaNzOCZDyWQyTJ8+HRcuXMDLL78MJyf9P55ubm6YMGECbt68iddee81sMYmpU6cOLl26hC5duui9jpeXF3744QesXbtWr9e3adMGV65cwcyZM+Hn52dQfO3bt8eRI0ewatUqu+3GW7ZsWfzxxx+4du0aRo4cafB+lClTBiNGjMC1a9ewePFilCtXzqzxvfzyy7h9+zbGjRun98SvAPD888/jn3/+waZNm1T7JEiMH23ovF+2ICAgAJcvX8Z3331n0HxTvr6+mDt3LkJDQ9GiRQsLRujYWrVqhQsXLmDDhg1GDdfk7e2NcePGITQ0FP/73/8cfk4lMYGBgbh58yY+/vhjeHl56b1ekyZNsGPHDqxdu9agY4IpXF1dMWfOHNy9exfvvvuu6LxgxWnVqhWWLFmCK1euOPycINWqVcOsWbMQHR2N/fv3Y/z48TqH5SxO48aNMX/+fNy8eRP9+vUzY6Tms3XrVnz22WcoU6aM3uv0798fly9fNum9UTdq1CitY0mtWrUk5xAl2+Pq6or58+cjODhYcugkKd7e3vj0009x48YNdO/e3TIB6qFChQr4999/sWzZMoOGSvf09MS0adNw69Yt9OzZ04IRkrW4ubnh33//xdixY3UO26vOyckJY8aMwdmzZ81+jeEojL1W6tixI0JCQvD9999zzkUiB6Ucqi4oKMigNr/27dsjODgYP//8s2o9S7Sl9OrVC9evX8e0adOKHZq8qN69e+PcuXP47rvvDNo3ayuN+0yOQSZIHQXIod27dw8nTpzAuXPnEBERgfv37yMlJQVZWVlwdnZG+fLlUb58efj6+uL5559H69at0bp1a7Rr167EGuyUDU8nTpxAWFgYkpKSkJKSAkEQULZsWQQEBKBZs2YIDAzEsGHDrDKO8NmzZ7Fjxw6cP38eUVFRSE1NRU5ODsqWLQs/Pz+0bNkS3bt3x8iRI+Hj42PUNnJycnDgwAGEhITg3LlziI+PR3JyMnJycuDh4YGqVauiQYMG6NSpEwYPHoxmzZqZdydtQFpaGvbv34+TJ0/i+vXruH//PlJTU5Gbmwt3d3f4+Pigdu3aaNasGbp164b+/fvrNR+TOSQkJOCff/7B0aNHcePGDTx+/Fj1t6lQoQIaNGiAdu3aoX///ujSpYvWBdpvv/2GqVOnatU7ZcoU/PbbbyWyD/qqVasWHjx4oFV+//59rfklcnNzceDAARw+fBjXrl1DVFQU0tLSUFBQAG9vb9SsWROtWrVCnz59MHToUHh6epbQXpQed+7cwYEDB3D27FncvXsXMTExyMzMhCAIqmN8QEAA2rZtixdeeAF9+/Y1KJHj6NLS0rBt2zYcOXIEoaGhiI2NRXZ2NsqUKQNfX180aNAAbdu2xcCBA9G1a1erN77k5OTg0KFDCAkJQWhoKKKiopCUlIScnBx4enrCx8cHFSpUQPPmzdG2bVv06NFDdG6l0iYsLAznz5/HrVu3cPPmTTx8+BBpaWlIT09Hbm4uvL29Ua5cOVSsWBFNmzZF69at0a1bN5Pm+SlpT548wd9//40zZ87g2rVrSE5ORnp6Otzc3ODr64t69eqhY8eOGDFihEU+EyNGjMCmTZtUz+fNm4cvv/zS7NuhknHr1i0cPHgQJ06cwN27d5GUlITU1FTIZDKUL18etWvXRosWLdCzZ08MGjSoRH5XunfvjpCQEK3y4OBgrWSaXC7H0aNHcfDgQVy5cgWRkZFITU1FXl4ePD09Ub16dTRv3hy9evXCK6+8YvT5O9mf6OhobNiwAWfPnsXNmzeRkpKCjIwMeHh4wNfXF40bN0bnzp0xatQos86r5OikrpU8PT1RsWJFNGzYEB06dMDgwYPt6reViEx3//59/PPPPzh+/Dhu3bqFJ0+eqH6P/fz8VMeHQYMGoXXr1lrrf/zxx1i4cKFW+YIFC/Dxxx+bHF9qair27duHEydO4OLFi3jy5AmSk5NRUFAAT09P+Pv7o1GjRujcuTOGDRuGunXrmrxNayuN+0z2i0ktIiIr+u6770Qb92bOnIk5c+ZYISJphiS1iIiIAKBp06a4efMmgGd3zj58+BDVqlWzclTkSAxJahEREZFjmDBhAlasWKFVvnr1aowdO9YKERFRSWLfQCIiK0pJSREtf+6550o4EiIiIvM6f/68KqEFAIMGDWJCi4iIiIhMxrYUotKNSS0iIitSb+xTZ8rcd0RERLZg1apVGs8nTpxopUiIiIiIyJGwLYWodGNSi4jIiq5fv65V5u7ujhYtWlghGiIiIvPIysrSmEurVq1a6N27txUjIiIiIiJHkJubi/DwcK3ymjVromrVqlaIiIhKGpNaRER6+OKLL9C0aVM0bdoU//vf/8xS5507dxAbG6tV3r17d3h4eJhlG0RERNawZcsWZGRkqJ6PHz8eMpnMihERERERUUkbM2aMqi1l3bp1Zqnz+PHjkMvlWuX9+/c3S/1EZPuY1CIi0sOjR49w8+ZN3Lx5E1u3bjVLnX/++ado+ejRo81SP1nW06dP8fvvv2Pz5s3Izc21djhEZAPOnz+PZcuWYe/evdYOxerUhx50cXHBuHHjrBgNkfXs2rULy5Ytw5UrV6wdChHZiMzMTGzZsgW///470tPTrR0OkUVFRUWp2lJ27dplljrZlkJELtYOgIjI3ly5cgXXr19H8+bNja4jKSlJa64R4Nmkpq+88oop4VEJOXnyJN5//30Az5KeNWrUsHJERGRtX331FY4ePQofHx/JyavtUWFhIebNm6d6PmPGDLi5uUm+/tq1azh9+rTq+aBBg1CtWjWLxkhkq0aOHImsrCwMHToUO3bssHY4RGQDwsPD8frrrwMAWrZsiS5dulg5IqKSsW/fPiQmJqJSpUpG1xEeHi76e/rCCy+gU6dOpoRHRHaEPbWIiIzwxRdfmLT+tGnTkJiYqFU+b948nQ2FZDvU/34ct5uIgGfJHwBwcnKsU+zCwkLMmTNH9YiKitL5+gULFmg8nzp1qiXDI7JpyuNBfn6+lSMhIlvh7++v+n98fLwVIyEqWXl5eZg1a5bR6ysUCkyYMAF5eXka5TKZDD/++KOp4RGRHXGsK24iohKyf/9+zJw50+D1BEHA1KlT8ffff2stGzRoEMaMGWOO8KgEJCUlqf7v4sKOz0T0X1LL2dnZypFY1tGjRyWXXblyBRs3blQ9b9WqFbp3714CURHZJmVSq6CgwMqREJGtqFy5sur/T548sWIkRCVvyZIloqPWFCcvLw+vvvoqQkJCtJa99957CAwMNEd4RGQn2ApHRGSkb775BmFhYfjxxx9Rv379Yl9/4sQJzJgxQ2NIJqXmzZuLJrqs4datW4iLi9Mql5o36vTp04iMjNQo8/X1RZs2bSwSn61QDi3maD0yiMh4ygmrHf24sGDBArzxxhuoUKGCRnl8fDxGjhypMXH3d999V9LhkYOKiooS7SUoNdTn5cuXVYlmJQ8PD3Tu3Nki8UlRJrmLxkJEpZf6eYLY6B1Ejm78+PE4d+4c5syZo9FzUcquXbvw1Vdf4caNG1rLevXqhYULF1oiTCKyYUxqERGZYOfOndi5cydeeOEFdOvWDY0bN0aFChXg4eGBtLQ0JCUl4dq1azh27JhW4kepU6dO2L17N8qVK1fC0Yv78ccfJSdeFTNq1CitssDAQBw/ftyMUdkeZSOao/fIICL9Oerwg0U9ePAALVu2xOTJk9GsWTNkZ2cjNDQUixcvRlpamup1w4YNQ9++fa0YKTmSdevWYc6cOXq/fvr06VplAQEBiI6ONmNUxVOeJ7CnFhGpc3Z2hlwuR3JysrVDIbKKlStXYs2aNejatSs6duyIRo0awcfHB25ubkhJScHTp09x+fJlHDt2DDExMaJ1DB06FBs2bICrq2sJR09E1sakFhGRHgIDA3HkyBHJ4SEuXLiACxcuGFSnm5sbpk+fjtmzZ/MkzA4pG2459CARKZWWnloA8OjRI8yYMUNyef369Y0aWobI0TCpRURiXFxcIJfLJXubEjmK3r1748aNGxo3PinJ5XIcP37c4Btivb29MW/ePEydOhUymcxMkRKRPZEJgiBYOwgiR9eoUSPExsZqlHl6eqJOnTpWioiMIQgCUlJSkJSUhPT0dKMbJ5ydnVGxYkX4+/vD3d3dzFGaLjIyEk+fPjWpjrJly6JJkyZmisg23b59G2lpaXB2dka7du2sHQ4R2YDr168jOzsbbm5uaN26tbXDMRuFQmHQjRtly5ZF/fr14ebmZsGoqLR59OiR1vm0oazx3bx8+TIKCgrg5eWFZs2alei2yXFERkYiMzPTqjFUqFABNWvWtGoMjuTChQtQKBTw8fFBo0aNrB2Ozbt16xby8/OtGkPVqlVRtWpVq8Ygxh7eG4VCgeTkZFVbivpQ1YZwcXFRnV+q30RWvXp13Llzx6g6S4N33nlHdOhGW9W0aVOsWLHC2mGQjWNSi6gElC1b1uoXIURERERERERERI7E29sbGRkZ1g7DZnXs2BHnzp2zdhh669ChA86ePWvtMMjGOf7YKERERERERERERERERGT3mNQiIiIiIiIiIiIiIiIim8fZ7R1Ifn4+QkNDER0djaSkJKSkpMDd3R2+vr6oWLEimjdvjlq1apVoTBkZGbh06RLCw8NVE6D6+vqiQYMGaNOmDcqVK2exbaenp2PVqlXYs2cP7ty5g6SkJPj5+aFp06YICgrCmDFj4OHhYbHtExERERERERERERGR+TCpZedu3ryJTZs24fDhwwgNDS12csgqVargxRdfxKRJk9C1a1eLxXX06FEsWrQIR44ckYzJzc0NL730Ej744AP07t3brNvfunUrpkyZgidPnmiUx8XFIS4uDocPH8a3336LJUuWYMCAAWbdthhPT0+tObW8vb3RtGlTi2+biMxPLpcjPT0dAODj4wOZTGbliIjIFqSmpkIQBHh7e8PV1dXa4RCRDUhPT4dcLoeHhwfc3d2tHQ4R2YDc3Fzk5OTAxcUFZcuWtXY4RHblxo0bWu1rnp6eVorGfnl5ytCscRlrh4Gw23nIyhasHQbZIZkgCPzk2Jnc3FysWbMGS5YsQVhYmNH1tGrVCitWrECbNm3MFlt8fDwmTJiAPXv2GLTegAEDsGLFClSrVs3kGBYuXIjp06dDn4+2k5MTli5dinfeecfk7eoiNikjJz4ksl/Jyck4efIkAGDw4MFMahERAGD//v0oKChAhw4dUKVKFWuHQ0Q24MSJE0hJSUGTJk1Qr149a4dDRDYgKioKYWFhKF++PLp3727tcIjsCtvXDCf6nrVxx+m9z1kpov90HvgI5y7napTx70n6YE8tO7No0SL873//Q0JCgtYyLy8vDBkyBJ07d0bNmjVRvnx5pKen4+HDhzh69Cj27duHvLw81euvXr2KDh06YPbs2fjyyy9Nji0sLAz9+/dHTEyMRnmPHj3w2muvoWHDhgCAu3fvYvPmzTh+/LjqNfv27UO7du2wb98+tGjRwugYdu/erXdCCwAUCgUmT56MgIAAs/cWIyLHVVhYCABwdnZmQouIVBQKBQDwuEBEKk5Oz6axVh4fiIhcXJ41xSmvKYiIiMgwTGrZmQULFmgltGQyGT744APMmjULPj4+outNnjwZDx48wJQpU7B3715VeWFhIb766ivk5ubim2++MTque/fuoVevXhqxlS1bFuvWrcPQoUM1XtujRw9MmjQJO3bswJgxY1TdhmNjY9GrVy+cPn0a9evXNziGrKwsvPPOOxoJLV9fX3z99dcICgpCtWrVEBcXh82bN+O7775TDR0ml8vx1ltv4d69e5xji4j0orwAVV6QEhEBUJ2DMKlFRErK4wEHSCEiJSa1iIiITONk7QDIdKtWrcLPP/8smdBSCggIwK5duzBu3DitZfPmzcPatWuN2n5ubi5efvlljYSWq6sr9uzZo5XQUjds2DDs2rVLo1E4MTERQUFByMnJMTiO5cuXa8yhVa1aNVy4cAEffvghAgIC4Obmhlq1auGzzz7DmTNnULFiRdVrHz9+jBUrVhi8TSIqnZjUIiIxTGoRUVHsqUVERTGpRUREZBomtezc5MmTMXbsWL1f7+TkhMWLF4sO8ffpp58iLS3N4BjmzJmDa9euaZR9/vnnCAwMLHbdnj174pNPPtEou3HjBmbNmmVwHDt27NB4vmrVKslx65s0aYLly5drlG3fvt3gbRJR6cSkFhGJYVKLiIpiUouIilJeQ8jlch4biIiIjMCklh3z8PDA7NmzDV6vTJkymDdvnlZ5YmIifvnlF4PqunfvHhYuXKhR5ufnh88++0zvOr744gtUqFBBo2zRokWIjIzUuw5BEDQmPaxbty769eunc52goCAEBASonp89e5bDghCRXpjUIqKi1M8hmNQiIiUOP0hERalfQ8jlcitGQkREZJ+Y1LJj/fr1Q+XKlY1ad8CAAahevbpWuaG9lX788Ufk5+drlI0fPx5eXl5611G2bFm89dZbGmUFBQX48ccf9a4jKSkJBQUFquetWrXSa702bdqo/p+fn4/k5GS9t0lEpReTWkRUlHqDtbJnBhERe2oRUVGurq6q/6u3YxAREZF+eMVtx/r06WP0ujKZDF26dNEqv3btGh4/fqxXHampqVi3bp1W+RtvvGFwPCNHjtQqW7duHVJTU/Vav+jdTfo2Jjk7O2s858UmEemDSS0iKkr9HII9tYhIiT21iKgo9WsIzqtFRERkOCa17Njzzz9v0vpNmzYVLY+OjtZr/a1btyI3N1ej7LnnnkOzZs0MjqV169bw9/fXKMvLy8OWLVv0Wt/Pz08jkXXz5k291gsLC1P939nZGRUrVtRrPSIq3ZjUIqKiOPwgEYlhTy0iKopJLSIiItMwqWVnwsLCkJiYiMTERHTq1Mmkunx9fUXL4+Pj9Vp/x44dWmVdu3Y1Oh6xnmM7d+7Ua11nZ2eNZNrNmzdx6tQpnesEBwfjzp07qudt2rThcEFEpBcmtYioKCa1iEgMk1pEVJRMJlONGsOkFhERkeHYgm9nfH194efnp9UzyRhubm6i5UXnyJJ6TUhIiFZ569atjY5HfX4rpZCQEOTl5em1/sCBAzWev/nmm4iNjRV97cOHD7Xm8Ro6dKhe2yEiUg55WnQIUyIqvZjUIiIxHH6QiMQob45jUouIiMhwTGqVYmlpaaLlVatWLXbd0NBQZGdna5U3adLE6HjEhkPMzs7GtWvX9Fr//fffh4eHh+p5VFQU2rRpg8WLFyMmJgYFBQV49OgRfvvtN7Rt2xYPHz5UvbZChQp49913jY6diEoX9tQioqLUG6zZ85uIlNhTi4jEMKlFRERkPF5xl2KPHj3SKnNyckKrVq2KXffy5cui5XXq1DE6Hql1r1y5otf6VapUwffff69RlpCQgPfeew/PPfcc3NzcULNmTUydOhWJiYkar1uyZAnKly9vXOBEVOowqUVERbGnFhGJYU8tIhKjvI4oKCiwciRERET2h0mtUiwsLEyrrEOHDihXrlyx696+fVu0vGbNmkbHI7Wu1LbEfPDBB5g0aZJB2/3uu+/w2muvGbQOEZVuTGoRUVHqvTCY1CIiJfbUIiIxrq6uANhTi4iIyBhMapVSubm5OH/+vFb52LFj9Vo/KipKq6xs2bJwd3c3OiZPT094eXnptS1dlixZggULFojWpa5SpUrYuHEjvvjiC4PqJyJiUouIimJPLSISw55aRCSGww8SEREZj0mtUuro0aNac2JVrVoVI0eO1Gv9uLg4rbKKFSuaHJefn59e2yrOxx9/jMjISMydOxcdOnSAn58fXF1dUaVKFXTv3h0LFy5EZGQkhg8fbnLMRFT6MKlFREUxqUVEYthTi4jEMKlFRERkPLbGlVLLly/XKpsxYwY8PDz0Wv/p06daZd7e3ibHJda7Kikpyai6qlatiq+//hpff/21qWEREakoFApVwxSTWkSkxKQWEYlhTy0iEsOkFhERkfHYU6sUunv3Lvbt26dR1rJlS0yePFnvOlJTU7XKihvuTx9idaSkpJhcLxGRucjlctX/nZ2drRgJEdkS9QZrZc8MIiL21CIiMUxqERERGY9X3KXQ9OnTNS6qXFxcsGLFCoN6HOTl5WmVmaPHglgdYtsiIrIW9QtP5QTPRETq51bsqUVESkxqEZEYJrWIiIiMx6RWKbNnzx7s3btXo2zevHlo27atQfUUFBRolZkjqSXWQCy2LSIia1G/8GRPLSJS4vCDRCSGww8SkRgmtYiIiIzHpFYpkpiYiHfeeUejbMCAAfj0008NrktsWB1z3H0oVgeH8CEiW6J+4ck5tYhIiUktIhLDnlpEJIZJLSIiIuMxW1BKyOVyjB49GgkJCaqyZs2aYePGjUY1vLi5uYluw1RiJ3Ri2yIishblccrJyYlJdyJSUSa1eFwgInXsqUVEYpSj1HBkGiIiIsPxFvNS4rPPPsOhQ4dUz6tVq4Y9e/agbNmyRtXn6emJnJwcjbLc3FyTYgTE58/y8vIyud6SsGXLFowYMULV0O3s7AxnZ2e4uLggMzNT6/UZGRk4c+aM6rVi/+paVty/bHAnsgxlUou9tIhInbIXBntpEZE69tQiIjHsqUWORhAEyOVyKBQKKBQK0f+boyw9PV1r25cvX0blypVRUFCAwsJCyOVyjTo2b96MV155xQrvChFZClvkSoElS5bgp59+Uj2vWLEijhw5goCAAKPrrFixIpKSkjTKsrKyjK5PSSz5U7FiRZPrLQlJSUmqH0x9FBYWIjEx0aIxyWQysyfLxOqQes7EGjkiJrWISIyyFwaTWkSkjj21iEiM8lpCLpdDEASeP5BJ1BNKxiSW9E0o6Vq3pH7nxEaJKigo0Nm+VrT9kojsH1vkHNzmzZsxZcoU1fNy5crh4MGDaNKkiUn1Vq5cGeHh4RplaWlpJtUpVYefn5/J9ZaEnj17Yvr06cjKykJ2djays7ORk5OD3NxcnD9/HhkZGRqv9/DwQKNGjSRPEor7V/l/XZQnNuYYGtIUYskuqQSYvokyfV8rVkZkCia1iEgMk1pEJIY9tYhIjPq1RGFhoWo4QrIPyraWor2T1B9S5cYu15VssocbJ2Qymc4brfUt8/T01Krby8sLrVq1gru7O9zd3eHh4QEvLy94enrCy8sL3bt3L/kdJiKLYoucA9u7dy9Gjx6tuoAqW7YsDh48iLZt25pcd0BAAE6dOqVR9vTpU5PuMFIoFKJ3T9SqVcuo+kpaw4YNMX/+fNFlHTt2xLlz5zTK3N3d0bBhQ5O2KQiC6B05hibGTPlXH7aQWFNnqSRbcQ/1kzhlLzr1ZWwItQ9MahGRGCa1iEgMk1pEJIZJLf2VRMLI0OX2kERSp94WITX6jrFJJn3rM9c5cpkyZbTKmjVrhpMnT5qlfiKyD2yRc1CHDh3CK6+8opp01NvbGwcOHEDHjh3NUn/dunW1ypTD6VWuXNmoOp88eSKa+BDbFj2jTIRYq/eRMqlW3ImfrjuMzLGuvj3XlGwtyaZUXEJMeUJYNCGmTzLN2ERc0fWJSS0iEsekFhGJ4fCDRCSmaFKrpBW9lhdL2hhSbqll9nxDQNEbW/UdgUbXckPmY7dEQomIyFawRc4BHTt2DEOHDkVeXh4AwNPTE3v37kXnzp3Nto0WLVqIlkdHRxud1Hrw4IFoecuWLY2qjyzP2kk1MZZIlBlyx5YpJ+H2cNKub/JL7P9ivdP0fb2p/zfnSbwyIers7Gy2OonI/ikbrG3pN5GIrI89tYgcmzI5pEzMqCdodJWp32T5+PFjpKamir7OUokmR0u0m5IoMkeySer6mIiILINJLQcTEhKCwYMHIzc3F8CzeZv27NmDwMBAs27nhRdeEC2/e/eu5LLi3LlzR7TcHMMlUulhiz2K9L0DrbiHoeurXzCZ6+43e0i8iSmaKJNKgOmTKFMOk5qZmYlbt25JJuPUk77FLTNkOYeqJLJNymMjv59EpE79mGDKUO1EjqZoIsjQpJCpy0wpK7rMVLdv3zbDO2o5xd3QaI5l+o5MolyunlDi9RERUenDpJYDOXXqFAYMGIDs7GwAz+Zs2rVrF3r27Gn2bdWoUQP16tVDZGSkRnlYWJjRdV6/fl2rrF69eqhRo4bRdRLZAltMtKkrehGpTxKsuKSbvheGpqxr6D6ae8jJjIwMZGRkmLVOfZkjOWauJFtxryv6UH4XpF4jtZzI1nH4QSISo34OqFAo2NObJEkleHQlf4z5v7XXd8ReQoZSnucqr09cXV3h6uoqOcKFoYkhcy8jIiKyNUxqOYhz586hf//+yMrKAvBs4sTt27ejV69eeq2fn5+P5ORkAM+G1KpUqVKx6/Tr1w+//fabRtnZs2cNjPw/Z86c0Srr27ev0fURkX6KJhPsYZLiohfV+iTG9Emw6ZNsS0xMRG5uLry8vODt7a3zDk6puzrV4zd2/21xXjhLEkt+SSXOTF1eXOJN323oeojtk1iZPsuKq49KBpNaRCSmaE8tR1f0HMeQ52JJEwBa507GPpQ3RZmrPqkkj7EPKp7UTVVSIyxYqszYZUWTREePHkVWVhaaNm2KmjVrWvGdJSIisi9MajmAS5cuoW/fvqoeA25ubvjnn3/Qr18/ves4c+YMevToAQAICAhAdHR0seuMGDFCK6l14cIFZGRkoGzZsvrvAIC0tDRcvnxZq/yNN94wqB4iKh3UG+1L+o7nU6dOITc3FzVr1kSDBg1MqkusMaS4u1oNfZ216gGg0SBlKjb4GM/QJJnYMl2v17c+9dcULTN2mTnqMlc8yhuLFAoF0tLSRNcz5v8ltQ6TcSSl6LHX1OfqZVL/Kv9f3Ous8a9UrFLLlcPCA0BkZKTqxgmpdfR9bkqZpbZF1qH+m6vPMNa6etebsr656tI1GoCj/Va5uDxrkissLLRyJERERPaFSS07d/XqVfTu3VvVeOLi4oLNmzdj4MCBFt92x44d8fzzz+PWrVuqsvz8fOzfvx+vv/66QXXt2bMHBQUFGmWNGzdGx44dzRIrEZG5KC86zZFMs2ZyriRJ3ZFc3F3Nllyu793api4Xe4i9JyXx/lPJyM7OxvHjx60dhsmMSZ4Zsp454rKUkmw0LfrdlPquFvc6feoxZh0yr7t371o7BLuk66YKfR/qPWRM6Wlt6boNGQraURM9pQmTWkRERMZhUsuOXb9+Hb169UJKSgqAZydEGzduxNChQ0sshk8//RRvvfWWRtnKlSsNTmqtXLlSq+yTTz4xJTQiIotQXnQqL0KpeGxwKZ5UsktXeXHLS6o+fZapLy/6f0ssE/vXksscUdH3mcheKX9/rPWvIAiqGxB9fHxUN7Gov079d9KU56aUWWpbhjxX9mIrmijiOQQ5Kia1iIiIjMMWOTt169YtvPTSS0hKSgLw7A7/v/76C6+88kqJxjFy5Ej89NNPCAsLU5UdPXoU586dQ4cOHfSq49SpUwgJCdEoa9KkCUaPHm3WWImIzEE5lxWTWmRObLizb4IgIDIyErdu3YKPjw+6dOkimQzT9//GrGPq+iW5jiXY4zaKfufFjgHFvcae6lAvL6l/rS0nJweHDx8GALRr1w6enp5WjoiIbAWTWkRERMZhi5wdunv3Lnr27InExEQAz4Y4WLt2LYYPH17isbi4uGDp0qXo1q2bqqEXACZNmoTz58+jTJkyOtfPzc3Fu+++q1Hm5OSEJUuWsMGYiGwSe2oRUVHqjedOTk4OPZwoERlG/fjAXo9EpI5JLSIiIuM4WTsAMkxkZCR69uyJhIQEVZlCocDo0aMNHq9b/dGjRw+jY+rUqRPmzJmjUXbt2jWMGTNGa54sdfn5+Rg1apRGLy8AmDVrFrp27Wp0PEREliIIAntqEZEoZWO1rfQOISLboBxSD4BqPkciIoBJLSIiImMxqWVHnj59ih49eiAuLs7aoWj58ssvMXHiRI2yLVu2oEuXLjh16pTW60+ePIkuXbpg27ZtGuXjx4/HzJkzLRorEZGxFAqFquGaPTGISB2TWkQkhj21iEgKk1pERETG4W3mdiQmJgYxMTHWDkPS0qVLUa1aNcydO1d1F+KFCxfQtWtXVKtWDQ0aNIAgCAgPD0d8fLzGuk5OTvjyyy+1enwREdkS9QtO9tQiInXKxmr1XhlEROypRURSlNcTuka4ISIiIm1skSOzmjVrFvr27YuPPvoIZ86cUZU/fvwYjx8/Fl2nQ4cOWLhwITp27FhSYRIRGUV97kD21CIidcrGavbUIiJ17KlFRFJcXV0BsKcWERGRoZjUIrNr3749Tp8+jQsXLmD79u04ffo0wsPDkZqaCgDw8fFBgwYN0KlTJwQFBaF9+/bWDZiISE/sqUVEUjj8IBGJYVKLiKRw+EEiIiLjsEXOjrRs2dKuLoReeOEFvPDCC9YOg4jIbJjUIiIpTGoRkRiZTAaZTAZBEDj8IBFpYFKLiIjIOBz0n4iISE/K4QednJzYcE1EGpjUIiIpynm1mNQiInXqSS17uoGZiIjI2pjUIiIi0pPyLkr20iKiopjUIiIpyuMCG62JSJ36NYX63L1ERESkG5NaREREelJebDKpRURFMalFRFKY1CIiMerXFByCkIiISH9MahEREelJebHp7Oxs5UiIyNYwqUVEUjj8IBGJYVKLiIjIOExqERER6YnDDxKRFCa1iEgKe2oRkRgmtYiIiIzDpBYREZGelMMPsqcWERWlbKxW9sggIlJiTy0iEuPs7KxKehcUFFg5GiIiIvvBq24iIiI9sacWEUlhDwwiksKeWkQkxdXVFQB7ahERERmCSS0iIiI9MalFRFI4/CARSWFSi4ikKK8rmNQiIiLSH5NaREREelIOP8ikFhEVpRxWjMMPElFRHH6QiKQwqUVERGQ4XnUTERHpSXmxyTm1iKgo9tQiIinsqUVEUpjUIiIiMhyTWkRERHri8INEVBwmtYioKPbUIiIpTGoREREZjkktIiIiPSmHH2RPLSIqStlYzaQWERXFnlpEJIVJLSIiIsMxqUVERKQn9tQiIjE5OTl48uQJACAmJoYN10SkgT21iEgKk1pERESGY1KLiIhIT8qeWkxqEZFSREQElixZgoyMDADAvXv3sG7dOqSlpVk5MiKyFeypRURSmNQiIiIyHJNaREREelJebHL4QSLKy8vDnj17sGHDBmRkZGg0WkdHR2Pp0qW4ceOGlaMkIlug7KnFpBYRFaVMahUUFFg5EiIiIvvBW82JiIj0xOEHiQgAoqOjsWvXLqSmpqrKCnPlgPf//wsgNzcX27ZtQ0REBPr16wd3d3crRUtE1qZMenP4QSIqytXVFQB7ahERERmCrXJERER6EASBww8SlXIFBQX4999/ce7cOVWZPF+O+4fjUfXV6oAfEHMmEVlIR6WmPgCA69ev48GDBwgKCkLNmjWtFDkRWROHHyQiKRx+kIiIyHAcfpCIiEgPyoQWwOEHiUqj2NhYLFu2TCOhlfYgC1eWRCL+cgpk/z+8WGGeHHe3xeDu9keqXltpaWlYu3Ytjh07pnEsIaLSQTn8IHtqEVFRTGoREREZjreaExER6UH9QpM9tYhKD7lcjpCQEJw6dUrVy0JRqMCDfxMQey4J+P+OFzKn/++JIX9WkBiWhvSH2WgwrAbKB3hBEAScOnUKUVFRCAoKQsWKFa2yP0RU8thTi4ikMKlFRERkOPbUIiIi0oN67womtYhKh4SEBKxcuRInT55UNUZnxOXg6rJ7iD37X0ILAJyclHPm/FeYl1aAsD/vI/pYAhT/n+yKi4vDsmXLcPnyZTZwE5USyp5a/M4TUVHqSS0eI4iIiPTDVjkiIiI9qN89yeEHiRybQqHAmTNnEBwcrBouTCEX8OjEE8ScSoQgMoKYzPn/e2IoijRICUDMqUSk3stAg6Dn4OlXBgUFBdi7dy8iIiIwaNAgeHl5WXqXiMiKlD21OPwgERWlTGoJggCFQsHrDCIiIj0wqUVERKQHJrWISoekpCTs3LkTMTExqrKsJ7kI3xGDrPhcyfWcVMMPijdaZz7ORejySNTuXRXV2j4bevDu3buIiYnBkCFDUL9+fTPuBRHZEg4/SERS1EeAKCws5HUGERGRHpjUIiIi0oNy+EFnZ2dV4xQROQ5BEHDx4kUcOXJElcQWBAGxZ57iQfAT1VxZUmTOz4YXUxTtqaVGUSDg3r7HSInIRL3B1eHm5YKsrCxs2LAB7dq1Q69eveDq6mq+nSIim6AcfpA9tYioqKJJrTJlylgxGiIiIvvApBYREZEelI3cnE+LyPGkpqZi9+7duH//vqosJzkP4TtjkfEoW686VD21dCS1lJLDM3B1SQTqD66BCg3KAgAuXryI+/fvIygoCNWqVTNiL4jIVrGnFhFJUb+2KCgosGIkRERE9oMtc0RERHpgUovI8QiCgNDQUBw8eBD5+fmq8rgLSYg+Gg9Fgf4N0Mo5tRTF9OhSKsiS49bGB6jatgJq964KZ1cnPH36FCtXrkSPHj3QqVMnVe8OIrJv7KlFRFKUo0AIgqAx3DkRERFJY8scERGRHpTDDzKpReQYMjMzsWfPHoSHh6vK8tIKEL4rBmn3swyuz5CeWuriLyUjLToLDYNqwLuaBxQKBY4dO4bIyEgMGzYM5cuXNzgWIrIt7KlFRFJkMhlcXFxQUFDApBYREZGeePsnERGRHpQXmZy8mcj+3bx5E4sXL9ZIaCWEpuDKkgijEloAIHNS9tQyvCdGztM8XFsZhUenElWN3g8ePMCSJUsQFhZmVDxEZDvYU4uIdFHeNMekFhERkX54uzkREZEeOPwgkf3Lzs7GgQMHcOPGDVVZfmYhIvfGIvluhkl1Ozk/a7Q2tKeWkqAQ8OBYAlIiM9BgWA24l3dDXl4etm/fjoiICPTv3x/u7u4mxUhE1sGeWkSkC5NaREREhmHLHBERkR6Uww+ypxaRfQoPD8eePXuQmZmpKnt6Mw2R++JQmCM3uX5VTy0jk1pK6Q+ycXVJJOoO8EflZj4AgLCwMDx8+BDDhg1DQECAqaESUQlT9tRiUouIxDCpRUREZBgmtYiIiPTAnlpE9ikvLw+HDh3C1atXVWWFOXLc2x+HxBtpZtuOMqklyE1vtJbnKRC+PQYp4RmoO8AfLu7OSEtLw9q1a9GlSxd0796dCXYiO6LsqcXhB4lIDJNaREREhmHLHBERkR6UPbWY1CKyH/fv38euXbuQlvZf8io5IgORu2ORn2nehiMnJ/M3WifeSEP6o2w0GFoD5Wt5AQBOnTqFe/fuISgoCH5+fmbbFhFZDocfJCJdmNQiIiIyjJO1AyAiIrIHyotM9o4gsn0FBQU4cOAA1q1bp0poFebJEbE7Frc2PDB7QgsAZCbOqSUlL60AYevuI/poPBT/3wvs8ePHWLZsGS5dusRGciI7oBx+kD21iEiM8vpCeRMdERER6cbbzYmIiPTA4QeJ7ENMTAx27tyJpKQkVVladBbCd8UgL7XAYttV9tQyd1LrWaVAzOmnSLmXiYYvPwdPvzIoLCzEvn37EBERgcGDB8PLy8v82yUis2BPLSLShT21iIiIDMOeWkRERHpgUovIthUWFuLYsWNYvXq1KqElL1Ag6uBjhP1536IJLcj+m1NLYYY5taRkxecidFkkHl/8L2EXHh6OJUuWIDw83GLbJSLTKHtqMalFRGKY1CIiIjIMW+aIiIj0oBwOhMMPEtme+Ph47Ny5EwkJCaqyjJhshO+MQU5SvsW3r+ylBViop5YaRaGAe/sfIzkiE/WHVIeblwuysrKwceNGtG3bFr1794arq6tFYyAiwyh7anH4QSISw6QWERGRYZjUIiIi0gN7ahHZHoVCgdOnT+P48eOqxmKFXMDDkCeIOZUIlFCnCJlaUkshL5lG65SIDFxdEoH6g6ujQoNyAIBLly7h/v37CAoKgr+/f4nEQUTFY08tItKFSS0iIiLDsGWOiIhID8qeWkxqEdmGp0+fYufOnYiNjVWVZSXkInxHDLIScks0Fifn/0b0tnRPLXUFWXLc2vgQVdv4onafanB2dUJSUhJWrVqFHj16oFOnTqrGdCKyHvbUIiJdmNQiIiIyDFvmiIiI9KC8yOTwg0TWJQgCzp8/j2PHjqm+l4JCQMzpp3gY8gSCBee0kqLZU6vktx9/OQVp0VloGPQcvP09oFAocOzYMURGRmLo0KHw8fEp8ZiI6D/KpBZ7ahGRGCa1iIiIDMNbN4mIiIqhUChUd1ezpxaR9aSmpmLdunU4dOiQquEnJykP19dE4cG/CVZJaAGAk3PJzaklJScpH9dWReHRyURVw/mDBw+wdOlShIWFWSUmInpG2WOSPbWISAyTWkRERIZhyxwREVExlEMPAuypRWQNgiDg6tWrOHToEPLz81XlceeTEH0sHooC6/Z+UO+pJVix0VpQCHjwbwJSIjPQYFgNuPu4IS8vD9u3b0d4eDgGDBgAd3d3q8VHVFqxpxYR6aKe1BIEQXXMICIiInFMahERERVD/a5J9tQiKlkZGRnYs2cPIiIiVGW5qfmI2BWLtOgsK0b2H/V5q6wx/GBR6Q+zcXVpJOr280flFj4AgBs3buDhw4cYNmwYatWqZdX4iEob5TGCSS0iEqN+05xCoeBNdERERMVgyxwREVExmNQiso4bN25g3759yM3NVZXFX03B/UOPIc+znWG8NHtq2UajtTxPgfCdMUiOyEC9gf5wcXdGeno6/vzzT3Tu3Bk9evRgoxlRCVHvqcVeGERUlPr1RWFhIX+fiYiIisGWOSIiomKoDz/IpBaR5WVnZ2P//v24efOmqiw/swCRe+KQHJ5hxcjEqSe1FDaS1FJ6ejMNGY+y0WBYDZSv5QUAOH36NO7du4egoCBUqlTJyhESOT71JBaTWkRUVNGkVpkyZawYDRERke1zKv4lREREpZuyp5ZMJtMYZoyIzO/u3btYvHixRkIr8UYariyOtMmEFgA4OdvGnFpS8tILELbuPu4fiYdC/iy++Ph4LF++HBcuXOCQaEQWpjFEqQ0eI4jIuoomtYiIiEg33m5ORERUDOXFJXtpEVlObm4uDh06hNDQUFVZQXYh7u2Pw9Ob6dYLTA8yG5tTS5QAxJ55itSoTDQMqgHPSu4oLCzEgQMHEBkZicGDB8Pb29vaURI5pKI9tYiI1KkPN8ikFhERUfF4uzkREVExlMMPcnx7IsuIiorCkiVLNBJayeHpuLIk0uYTWkDRnlq23WCdFZ+L0OX3EHchSVUWERGBJUuW4O7du1aMjMhxsacWEekik8lUN88xqUVERFQ83nJORERUDPbUIrKM/Px8HD16FBcvXlSVFebJcf/gYySEplovMANpzKklt/0Ga0WhgKgDj5ESkYH6Q6rDzdsV2dnZ2LRpE9q0aYPevXvDzc3N2mESOQz21CKi4jg7O6OwsFBjLl8iIiISx9Y5IiKiYjCpRWR+jx49ws6dO5GcnKwqS72fiYhdschLK7BiZIZzcv6vF4at99RSlxKZiatLIlFvcHVUbFgOAHD58mVER0cjKCgI/v7+Vo6QyDGo99RiUouIxLi4uCAvLw8FBfZ1DkRERGQNbJ0jIiIqBocfJDKfwsJCHD9+HGfOnFE17soLFIg+Go/HF5KLWds2qffUsqekFgAUZMtxe9NDVGntizp9qsHZzQlJSUlYtWoVunfvjs6dO2s0yBOR4dR7anH4QSISo7x5jj21iIiIisekFhERUTHYU4vIPB4/foydO3fiyZMnqrL0mGxE7IxBTlK+FSMzjfqcWgo7S2opJVxJQVp0FhoG1UDZ6p5QKBT4999/ERkZiWHDhsHHx8faIRLZLfbUIqLicE4tIiIi/fG2SyIiomIo75hkUovIOAqFAiEhIVi5cqUqoaWQKxB9LB7XV0fZdUIL+K+nlqAQADtur85Nzsf11VF4eOKJqsfZw4cPsXTpUly/fp2N8URGYk8tIioOk1pERET6Y+scERFRMZQXlxx+kMhwiYmJ2LlzJ+Li4lRlmfE5CN8Rg+wneVaMzHyUSS2F3P4bqwUF8DD4CVIjM9EgqAbcfdyQl5eHHTt2IDw8HAMGDICHh4e1wySyK+pJLSaHiUgMk1pERET6Y1KLiIioGBx+kMhwgiDg3Llz+Pfff1XfIUEh4NGpRDwKSbS7uad0UQ4t5kj7lP4oG1eXRqJuv2qo3MIXAHDz5k08evQIQ4cORe3ata0cIZH9UB9+kD21iEgMk1pERET6Y+scERFRMZTDD7KnFpF+UlJSsGvXLjx48EBVlv00D+E7Y5AZm2PFyCxD1VPLgZJaACDPUyB8ZyySIzJQb0B1uHg4Iz09HevWrUOnTp3Qo0cPJvuJ9MCeWkRUHCa1iIiI9MerUCIiomKwpxaRfgRBwJUrV3Do0CEUFBSoymPPPcWDYwlQFDpmY66Ts9qcWg7o6c10pD/KQYOh1eFT2xsAcObMGURFRSEoKAiVKlWycoREtk0mk0Emk0EQBCa1iEiU8uY5JrWIiIiK51T8S4iIiEo3JrWIipeeno4NGzZg7969qoRWbmo+wtbex/1D8Q6b0AIca04tKfnpBbixLhr3Dz9W7Wd8fDyWL1+OCxcusKGeqBjK3locfpCIxCivM5QjRBAREZE0ts4REREVg8MPEkkTBAFhYWE4cOAAcnNzVeXxV5Jx/1A85PmO34Dr5Ox4c2pJiT2bhNSoLDQIqgGvyu4oLCzEgQMHEBERgSFDhsDb29vaIRLZJGVSiwlgIhLD4QeJiIj0x55aRERExWBPLSJxWVlZ2Lp1K3bs2KFKaOVlFODm+mhE7okrFQkt4L+eWqUhqQUAWQm5uLbiHuLOJ6nKIiMjsWTJEty5c8eKkRHZLienZ5fe7KlFRGKY1CIiItIfW+eIiIiKwaQWkbY7d+5g7969yMrKUpU9CUtF1P7HKMwtXUPnKOfUUshLR1ILABSFAqIOPkZyRAYaDKkOt7KuyM7OxubNm9G6dWv06dMHbm5u1g6TyGYok1rsqUVEYpjUIiIi0h9b54iIiHQQBIHDDxKpyc3NxcGDB3Ht2jVVWUF2ISL3xSHpVroVI7Oe0tZTS13qvUxcWRqJ+oOqo2KjcgCAK1euIDo6GkFBQahevbqVIySyDRx+kIh0YVKLiIhIf0xqERER6aBQKFQNUOypRaXdvXv3sHv3bqSn/5e8Srqbjsg9cSjIKr2NMMqklkJeOocVK8yW4/bmh6jSyhd1+laDs5sTkpOTsWrVKnTv3h1dunRR9VIhKq2USS0OP0hEYpQ3zykUCigUCv5uEhER6cDWOSIiIh2UvbQAJrWo9MrPz8eRI0dw6dIlVVlhrhxRBx/jybVU6wVmI5yc/39YsVLYU0tdwtUUpD3IQsOgGihb3ROCICA4OBiRkZEYNmwYfH19rR0ikdVwTi0i0kX9OkMulzOpRUREpAN/JYmIiHRQHwKEww9SafTw4UMsXbpUI6GVGpWJq0simdD6f6qeWqU8qQUAucn5uL46Cg9DnqiSfI8ePcLSpUsRGhrKodeo1OLwg0Ski3pSi0MQEhER6cZbzomIiHRQv6hkTy0qTQoLCxEcHIwzZ86oyuQFCkQficfji8lWjMz2OCnn1JKzsRoABAXw8PgTpNzLRMNhNeDu64b8/Hzs2rULERERGDhwIDw8PKwdJlGJUva6YFKLiMQwqUVERKQ/ts4RERHpoD78IHtqUWkRFxeHnTt3IjExUVWW/igb4TtjkJucb8XIbBN7aonLeJSNq0sjUadfNVRp+WzowVu3buHRo0cYNmwYateubeUIiUoO59QiIl2Y1CIiItIfk1pEREQ6KC8qnZycOLY9OTy5XI6TJ0/i5MmTqoZXRaECD44/QeyZpwBzNqL+m1OLjdVFyfMViNgVi+SIDNQb6A9XDxdkZGRg3bp16NixI3r27MlesFQqcPhBItJFea2hUCiY1CIiIioGryCJiIh0UPbUYi8tcnSJiYnYsWMHHj9+rCrLfJyD8J0xyH6SZ8XIbJ+yp5bAnlqSkm6lI+NRNhoMrQGfOt4AgLNnzyIqKgpBQUGoXLmylSMksizljTHsqUVEUlxcXJCfn8+kFhERUTF4yzkREZEOTGqRo1MoFDhz5gyWLVumSmgJCgEPQ57g2sooJrT0oBp+kHNq6ZSfUYgbf0Uj6tBjKAqfNewnJCRg+fLlOH/+PHuwkENjTy0iKo6y5zKTWkRERLqxpxYREZEOyotKDo9Fjig5ORm7du3Cw4cPVWXZibkI3xmLzLgcK0ZmX5yc2VPLEHHnkpB2PwsNgmrAq7I75HI5Dh48iIiICAwZMgRly5a1dohEZqfsqcWkFhFJYVKLiIhIP+ypRUREpAN7apEjEgQBly5dwtKlS1UJLUEQEHv2KUKX32NCy0Ay5bBicg4rpq+shFyELr+H2HNPVWX37t3DkiVLcPv2bStGRmQZyp5aHH6QiKQorzeY1CIiItKNt50TERHpwJ5a5GjS09Oxe/du3Lt3T1WWm5KP8F0xSH+QbcXI7Bd7ahlHkAu4fygeKRGZaDC0OtzKuiInJwdbtmxBq1at0LdvX7i5uVk7TCKzYE8tIiqO8npDeVMdERERiWMLHRERkQ7sqUWOQhAEXL9+HQcOHEBe3n/zZD2+nIzow/GQ57P3gLE4p5ZpUqMycWVJJOoN8odf4/IAgKtXryI6OhpBQUGoUaOGlSMkMh17ahFRcTj8IBERkX6Y1CIiItKBSS1yBFlZWdi7dy/u3LmjKstLL0DE7lik3su0YmSOgT21TFeYI8edLY9QpVUm6vStCmc3Z6SkpGD16tUIDAxE165dVT1diOyRMqnFnlpEJIVJLSIiIv0wqUVERKQDhx8ke3f79m3s3bsX2dn/DS345Hoq7h2IgzyXPQbMQTWnFntgmCzhagrSorPQIKgGytXwhCAIOH78OCIjIxEUFARfX19rh0hkFCceJ4ioGExqERER6Ye3OxIREenAnlpkr3JycrBjxw5s2bJFldAqyCrE7S0PEb4jhgktM3JyYk8tc8pNyUfYmig8PP5E9Z7GxMRg6dKlCA0NZU8XskvsqUVExWFSi4iISD+87ZyIiEgH9tQiexQZGYndu3cjIyNDVZZ0Jx2Re2NRkMXJx82Nc2qZn6AAHoY8Qcq9DDQY9hw8KrghPz8fu3btQkREBAYMGABPT09rh0mkN2VPLSa1iEiK8iY6JrWIiIh0YwsdERGRDuypRfYkPz8fhw8fxuXLl1VlhblyRB14jCfXU60XmIOTcU4ti8mIyUHoskjU6VsNVVo9G3rw1q1bePToEYYOHYo6depYOUIi/Sh7anH4QSKSwp5aRERE+mFSi4iISAflRSWTWmTrHjx4gJ07dyI1NVVVlnIvExG7Y5GfXmC9wEoBVQ8MNlZbhDxfgYjdsUiOyEC9gf5w9XRBRkYG/vrrL3To0AEvvvgie9OSzWNPLSIqDpNaRERE+uHVHxERkQ7KnlpsMCVbVVhYiGPHjuHcuXOqMnm+AvePxCP+UrIVIys9OPxgyUi6nY6MmGzUH1IDvnW9AQDnzp1DVFQUgoKCUKVKFStHSCSNPbWIqDjK6w3l9QcRERGJc7J2AERERLaMww+SLYuLi8OyZcs0ElppD7NwdWkkE1olyInDD5aY/IxC3Pw7GlEHH0NR+Cw58OTJE6xYsQLnzp1jLxiyWcqkFj+jRCSFPbWIiIj0w9vOiYiIdFBeVLKnFtkSuVyOEydO4OTJk6oGUkWhAg/+TUDsuSSAbaYlStVTi0mtEhN3Pgmp9zPRMOg5eFVxh1wux6FDhxAREYGhQ4eibNmy1g6RSAOHHySi4qgntQRBUCXDiYiISBN7ahEREenAnlpka548eYKVK1fixIkTqsbRzLgchC6/h9izTGhZg5Pz/zdWyzmsWEnKfpKH0BX3EHv2qaosKioKS5Yswa1bt6wYGZE2Dj9IRMVRv4mOQxASERFJ423nREREEgRBYE8tshkKhQJnz55FcHCwqqFDUAh4dCIRj04+gcB2UqthTy3rEeQC7h+OR0pkBuoPqYEy5VyRk5ODrVu3omXLlujbty/KlClj7TCJ2FOLiIqlfr1RWFjI6w8iIiIJ/IUkIiKSoH43NXtqkTUlJydj586dePTokaos60kuwnfGIOtxrhUjIwBw+v+kliBnY7W1pEY9m0uu3kB/+D1fHgAQGhqKBw8eYNiwYXjuueesHCGVduypRUTFUb/e4LxaRERE0pjUIiIikqA+7AeTWmQNgiDg4sWLOHr0KAoKClRlsWef4sG/T5hEsREyZ/bUsgWFOXLc2foIlVtkoE6/anAp44yUlBSsWbMG3bp1Q7du3VS9ZYhKGntqEVFxivbUIiIiInFMahEREUlQv5jk8B9U0tLS0rB7925ERUWpynKS8xGxMwbpj7KtGBkVpeqpxR4YNuHJtVSkP8xGg2E1UO45TwiCgJCQEERGRiIoKAgVKlSwdohUCrGnFhEVR/0mOs6pRUREJI23KhIREUlgTy2yBkEQEBoaiiVLlmgktB5fTMLVpZFMaNkg2f/3wGBPLduRm5KP62ui8CA4AcL//11iY2OxdOlSXL16lb1lqMQpk1r87BGRFJlMprqRjj21iIiIpPG2cyIiIgnsqUUlLTMzE3v37sXdu3dVZXnpBYjYFYvUqEwrRka6yDinlm0SgEcnEpF6LxMNgmrAo0IZFBQUYPfu3YiIiMDAgQPh6elp7SiplHBSJb/ZU4uIpLm4uKCwsJBJLSIiIh3YQkdERCRB2VNLJpNxHhayuFu3bmHv3r3IyclRlT25loJ7/8fefYc3caVtA79HkruNK8UNY1zoHUINLST0ZiDJbrIJhNCym+0lu++3b7LZlu37bsF0SCOFAMb03msgmA4uuPfebVnSfH8IjSXbgGxLHlm6f9flRDqSZh4nYM/MPc85B3OhredFUFum4JpaNq0yuxbX16Wg94we6DFcP/XgvXv3kJmZiQULFiAiIkLmCskRsFOLiMzBTi0iIqKnY6hFRET0GIZQi1MPkjXV1tbi4MGDuHXrljSmrtYgZV82iu9XylgZmUvq1GKoZbN0DTok781BaVIlIucGw8ldhaqqKnzyyScYPXo0pk2bxo5csirDzTEMtYjoSRhqERERPR3P3IiIiB7DcDLJC51kLUlJSYiPj0dVVePUgkV3y5G8PweaGi4Q3lkolI8uVmvZUWfriu9XojIrGVHzg+Eb6QUAuHz5Mh4+fIhFixahe/fuMldI9srQqcXpB4noSRhqERERPR3nUiIiInoMdmqRtdTX12Pv3r3Yvn27FGhparV4sCsT93dkMtDqZAydWpx+sHNQV2lw59N0pBzMgU6jDxgKCwuxceNGXLx4kZ00ZBWcfpCIzMFQi4iI6Ol46zkREdFjsFOLrCEtLQ179uxBWVmZNFaaXImk+GyoK3kBozNSGKYf1PJidWeSe6UE5anV6BMTAo8ebtBqtThy5AiSkpKwYMECdOnSRe4SyY4Yph9kpxYRPYnhZjqGWkRERI/HTi0iIqLHYKcWWVJDQwMOHTqEDz/8UAq0tGotkvZm486n6Qy0OjFByU6tzqqmsB4Jmx4i60KRNJaamorY2FjcvXtXxsrI3nBNLSIyh+FmOsN5CBERETXHW8+JiIgeg6EWWUp2djZ2796N4uJiaaw8vRqJcVmoL2uQsTKyhMZOLXZgdEaiVkTa0TyUJlciekEIXLo4oa6uDjt27MDQoUMxY8YMuLi4yF0mdXKcfpCIzMHpB4mIiJ6OoRYREdFjcPpBai+tVovTp0/j3Llz0oVMnUaHtOP5yLlU/JRPU2chKA3TivFidWdWnlqN67HJiJgThK4DvAEACQkJSEtLQ0xMDEJDQ2WukDozQ6jF6QeJ6EkYahERET0dr9IRERE9Bju1qD3y8/Oxe/du5OfnS2OV2TVIjMtGbVG9jJWRpUmdWgy1Oj1NnRYPvspEaWIles8KhMpFibKyMmzduhXPPvssJk6cyN8J1CbG0w+KoiiFXERExhhqERERPR1DLSIiosdgpxa1hU6nw4ULF3Dy5EnpjnydVkTmmQJknSuEyJv07Y6g4Jpa9qbgZhnKM6rRZ2EIuvT0gCiKOHPmDFJSUrBw4UL4+/vLXSJ1MsYhFkMtInochlpERERPp5C7ACIiIlvFTi1qreLiYmzduhXHjx+XAq3qgjrc2JSCzDMMtOyVIK2pxVDLntSXNeDmtlSkn8iXuvCys7Oxfv16fPPNN1wbiVrF0KkFcF0tIno8w3kHQy0iIqLH463nREREj8FQi8wliiKuXLmCY8eOSRchRFFE9oUipJ8sYNhh5xTSmlpMLe2OCGSeLURpShX6xITAzd8FDQ0N2Lt3L5KSkjB37ly4u7vLXSV1AsadWTqdjscWRNQiQ6eW4TyEiIiImmOoRURE9BicfpDMUVZWhvj4eKSmpkpjtcX1SIzLQmVWrYyVUUcRuKaW3avKqcX19SnoPb0HeozwAwDcv38fWVlZmD9/PiIjI2WukGxd0+kHiYhawk4tIiKip+NVOiIiosdgpxY9iSiKSEhIwKFDh6BWq6XxnCvFSDuWB10DL1o6CoVhTS125Nk1XYMOyftyUJJUiah5wXByV6GqqgqffvopnnnmGUybNg1OTk5yl0k2itMPEpE5DDfT6XQ6rr9HRET0GAy1iIiIHsNwhyRDLWqqsrIS+/btQ2JiojRWV65G0p5slKdWy1gZyUFQslPLkZQ8qMQ3scmImhcMvygvAMCVK1eQmpqKmJgY9OjRQ+YKyRY1nX6QiKglxjNEaDQa3ixBRETUAsXT30JEROSYDJ1anH6QjN25cwexsbEmgVb+9VJcj01moOWgDJ1aopYXqh1FQ5UGd7enI+VADrQN+v/vhYWF2LRpEy5cuMBOHGqGnVpEZI6moRYRERE1x6t0REREj8HpB8lYTU0NDhw4gDt37khj6qoGJO/NQUlipYyVkdwEpf5itY6dWg4n9+sSlKdVIzomBJ493KDVanH06FEkJSVhwYIF8Pb2lrtEshFcU4uIzGF83mE4FyEiIiJT7NQiIiJ6DMPdkezUosTERMTGxpoEWkV3yvHN2mQGWtTYqcVQyyHVFNbjxqaHyDpfKIUVaWlpWLduncnPDHJsnH6QiMzBTi0iIqKn41U6IiKiFhgWZwbYqeXI6uvrcejQISQkJEhjDbUapBzIRdHtcvkKI5siPAq1dJx+0GGJWhFpx/JRmlyF6AUhcPF2Ql1dHb766iskJiZi1qxZcHFxkbtMkhE7tYjIHMZTlbJTi4iIqGUMtYiIiFpgfBLJUMsxpaamYs+ePSgvbwyvSpIqkRyfDXUV75ylRopH0w+yU4vK06rxzbokRM4OQteBPgCAmzdvIiMjAwsXLkTPnj3lLZBkwzW1iMgcgiBApVJBo9GwU4uIiOgxGGoRERG1wPgkktMPOpaGhgYcO3YMV65ckcY09VqkHs5D/vVSGSsjW2To0gK4phbpaet0eLAzCyVJVYiYFQiVixJlZWXYtm0bJkyYgEmTJvFmCQfE6QeJyFxKpZKhFhER0RPwKh0REVEL2KnlmLKyshAXF4fi4mJprDytGol7slBf1iBjZWSrjEMtUctQixoV3ixDRXo1oheGwDvMA6Io4uzZs0hJSUFMTAz8/f3lLpE6EKcfJCJzqVQq1NfXc/pBIiKix1A8/S1ERESOh51ajkWj0eD48ePYsmWLFGhpG3R4eCgXtz5MZaBFj6VQsPuCHq++vAG3PkxF2vF86B6Fnjk5OVi/fj2uXbvGcMOBCIIgBVv8/05ET2I492CnFhERUct4lY6IiKgFxndGGq+DQfYnLy8PcXFxyM/Pl8Yqs2qQGJeF2mK1jJVRZyAojdbJ4fSD1BIRyDpXiLKHVYheGAL3ABc0NDRg3759SEpKwty5c+Hh4SF3ldQBBEGAKIoMtYjoiQyzRDDUIiIiahlDLSIiohYYQi2lUmkyZRDZD51Oh3PnzuH06dNSh41Oq0PG6UJknSsEeM2RzGDSqcXpB+kJqnJqkbAhGeEvBCJwpB8A4MGDB8jKysL8+fMRFRUlc4VkbYbjCXZ1EtGTGDq1OP0gERFRyxhqERERtcBwZySnHrRPRUVFiIuLQ3Z2tjRWnV+HxN1ZqM6vk7Ey6mwEpdE6OezUoqfQNYhI2Z+D0qRKRM0LhpOHCtXV1di+fTtGjRqF559/Hk5OTnKXSVbC6QeJyBycfpCIiOjJeKWOiIioBcadWmQ/RFHE5cuXcfz4celCgagTkXW+CBmnCyCy04ZaybhTi6EWmasksRLfxCYjal4w/KK9AABff/01UlNTERMTg8DAQJkrJGswTGfMUIuInsRw/sFOLSIiopYx1CIiImoBO7XsT1lZGfbs2YO0tDRprLa4Hom7s1CZXStfYdSpGa+ppdNySjEyX0O1Bnc/S0ePkX4If6EHlE4KFBUVYdOmTZg6dSrGjh3LNR3tDKcfJCJzsFOLiIjoyXiljoiIqAXs1LIfoiji+vXrOHz4MNRqtTSec7kIacfyodPwjnlqO3ZqUXvlXS1BeVo1+sSEwDPQDTqdDseOHUNycjIWLFgAb29vuUskC+H0g0RkDnZqERERPRlv/SMiImoBO7XsQ2VlJT777DPs3btXCrTqytS49WEqHh7KY6BF7SYYhVo6Tl9JbVRbVI8bmx4i81yhFHikpaUhNjYWt2/flrk6shROP0hE5mCnFhER0ZPxSh0REVEL2KnVuYmiiNu3b+PAgQOoq6uTxvOulyL1UC60ak79RJahULJTiyxD1IlIP56PsuQqRC0Mhqu3M+rr67Fz504kJiZi1qxZcHV1lbtMagd2ahGRORhqERERPRlDLSIiohawU6vzqqmpwf79+3H37l1pTF3ZgKS9OShNqpSxMrJHpp1aDEup/crTq3F9XTIiZwWh6yAfAMCtW7eQkZGBhQsXIiwsTN4Cqc24phYRmYPTDxIRET0Zr9QRERG1gJ1andODBw+wd+9eVFdXS2OFt8uQciAXmlpeGCDLM0wnBrBTiyxHW6fDg11ZKEmqRMSsIKhclSgvL8e2bdswYcIETJ48mb+fOiF2ahGROdipRURE9GQMtYiIiFrAUKtzqaurw+HDh5GQkCCNNdRokHIgB0V3KuQrjOyecacWQy2ytMJb5ajIqEH0whB4h3kAAM6dO4eUlBTExMQgICBA5gqpNbimFhGZw3D+wVCLiIioZYqnv4WIiMjxcPrBzuPhw4eIjY01CbRKEivwTWwyAy2yOuM1tXQMtcgK6ssbcOvDVKQdy4NOq/8zlpubi/Xr1+Pq1asMSDoRTj9IROYwnH9w+kEiIqKW8UodERFRC9ipZfvUajWOHTuGr7/+WhrT1GuReigX+Qll8hVGDoWdWtQhRCDrfBFKH1ahT0wo3ANcoNFosH//fiQlJWHevHnw8PCQu0p6Ck4/SETmMIRaOp0OOp3OZKpjIiIig4KCAqxbt+6xr7/zzjtwdnbuwIo6DkMtIiKiFhg6tRhq2abMzEzExcWhpKREGitLrULSnmzUlzfIWBk5GoZa1JGqc+uQsD4Z4S/0QOAofwBAYmIiYmNjMW/ePERHR8tcIT0Jpx8kInMYn39otVqGWkRE1KLPPvsM7733nnTjVFM//OEPGWoRERE5EkOnFqcftC0ajQanTp3ChQsXpIuC2gYd0o7lIfdKyVM+TWR5CqX+QpNOy+nEqGPoNCJSDuSiJKkKUfOD4eyhQnV1NT777DOMHDkSL7zwApycnOQuk1rATi0iMofx+YdGo+HPdCIialF8fDwA02NLQRAgiuJjgy57wSt1RERELeD0g7YnNzcXcXFxKCgokMYqMmuQGJeFuhK1jJWRIzN0ahnWOiLqKKVJlbgem4SoecHwi+4CALh69SrS0tIQExODwMBAmSukphhqEZE5moZaRERETWk0Gly4cMEkvBJFEc7Ozpg+fTr69u0LV1dXGSu0LoZaRERELTCcQLJTS346nQ5nz57FmTNnoNPpu2F0Wh0yThYg60IRwGuDJCOF8tFFak49SDJoqNbi7mcZ6DHSD+Ev9IDSSYGioiJs2rQJU6ZMwbhx4zhtlQ0xXHQw/C4jImpJ0+kHiYiImkpMTER9fb1JZ9aQIUOwd+9ehISEyF2e1fFKHRERUQvYqWUbCgsLERcXh5ycHGmsKq8WibuzUFNQL2NlRHqNnVq8SE3yybtagvLUKvSJCYVnkBt0Oh2OHz+O5ORkLFiwAD4+PnKXSOCaWkRkHoVCIV2kZKcWERG1xHgGG0B/89T27dsdItACAN62R0RE1IQoitJd1Ay15CGKIi5evIj169dLgZaoE5FxpgA3Nj5koEU2w7CmFju1SG61xWrc2PwQmWcLpdAkPT0d69atw61bt2SujgBOP0hE5hEEQToHYacWEZG8RFHE5MmTIQiCyVevXr1kravptaro6Gj069dPpmo6Hju1iIiImjC+I5LTD3a80tJS7NmzB+np6dJYTVE9EuOyUJVdK2NlRM0ZOrUYapEtEHUi0k/kozS5EtELQ+Dq44z6+nrs2rULSUlJmDVrll3PrW/rOP0gEZlLpVJBo9GwU4uISGabNm3C6dOn5S6jma5du0qPBUFAcHCwjNV0PF6pIyIiasL4jkh2anUcURRx7do1HDlyBA0NDdJ49qUipB/Ph07D0IBsj0KafpB/Psl2VGTU4Pq6ZETMCkK3wT4AgFu3biEjIwMLFiyQ/c5SR8XpB4nIXIZzEIZaRETyycvLw89//nO5y2hRVFQU3NzcUFdXB1EUUVZWJndJHYqhFhERURPs1Op4FRUV2Lt3L5KTk6WxujI1kuKyUZ5eLWNlRE/W2KnFzguyLdp6HRJ3Z6EkqRKRs4OgclWivLwcH374IcaPH48pU6bwxo0OxukHichchnMQhlpERPJ5++23bTYsUiqVeP755xEfHw8ASEtLs+r+tm/fLl2v+d///V+r7sscXFOLiIioCXZqdRxRFHHz5k3ExsaaBFp510pwPTaZgRbZPOFR54WO0w+SjSq6Xa7/eZrW+PP0/Pnz2Lx5M4qKimSszPEw1CIicxlCLa6pRUQkj/j4eHz11Vdyl/FEb731lvS4pKQE58+ft9q+Pv74Y7z33nv4zW9+Y7V9tAZDLSIioiYYanWM6upq7NixA7t370ZdXR0AoL6yAXc+TUPyvhxo1ex8IdsnKLmmFtm++ooG3PooFalH86DT6n+25ubmYv369fj6668ZsnQQrqlFROZipxYRkXwqKipMAiNb9cILL2Du3LnS8/fee0++YjoYQy0iIqImDCePSqVSugBFlnX//n2sXbsW9+7dk8YKbpXh+tpklCZXyVgZUesoFAy1qJMQgewLRbix6SFqCvU3Emg0Ghw4cACfffYZqqr4s9fa2KlFROYy3FjHTi0ioo73y1/+EtnZ2QD0x2/PPfeczBU93ocffoi+fftCFEWcOHECv/3tb+UuqUMw1CIiImrCcPLILi3Lq6urQ1xcHL744gvU1NQAABpqNLi3IwOJu7KgqeOJO3UuAkMt6mSq8+qQsCEFOV8XS2NJSUmIjY3FgwcPZKzM/ikeTVfKUIuInoadWkRE8rhw4QJiY2Ol5ytWrMCECRNkrOjJfHx8cObMGUyYMAGiKOK9997DihUrUFJSIndpVsVQi4iIqAmGWtaRkpKC2NhY3LhxQxorvl+Bb9YmofhuhYyVEbWdIdTimlrUmeg0Ih4eyMWdT9OgrtJfMK2pqcHnn3+Offv2Qa1Wy1yhfeL0g0RkLnZqERF1PLVajRUrVkg3IPXo0QN/+tOfZK7q6QICAnD69Gn87W9/g4+PD7Zs2YKoqCh873vfw6lTp+xyRgaV3AUQERHZGsMdkYY7JKl91Go1jh49iqtXr0pjmjotHh7KRcGNMvkKI7IAdmpRZ1aaXIXrsUmInBcM/z5dAADXrl1DWloaYmJiEBQUJHOF9oXTDxKRudipRUTU8f74xz/i7t270vN//etf8PHxka8gM0ydOtXkec+ePVFaWorS0lLExsZKXWchISHw8/ODl5dXm6513bx50yL1Wgqv1hERETXBTi3LycjIQFxcHEpLS6WxsodVSNqTjfqKBhkrI7IMrqlFnV1DjRb3Ps9AjxG+CJ8eCKWTAsXFxdi8eTMmT56M8ePHS9PmUftw+kEiMpfhPIShFhFRx7h37x7+8Ic/SM/nzJmDJUuWyFiReU6dOtVsLfiWbqTKzMxEZmam3awbz1CLiIioCYZa7afRaHDixAlcvHhRGtOqdUg7lofcr+17bmdyLOzUInuRd60U5WnViF4YAq9gd+h0Opw4cQLJyclYuHChzd+l2hmwU4uIzGW4i57TDxIRWZ8oili5cqU0BbenpyfWrl0rc1Wt0/T4UhCEZgGWKIptPg61tTCMoRYREVETDLXaJycnB3FxcSgsLJTGKjKqkbgnG3UlXKeF7AvX1CJ7Ulusxs0tDxE6qRtCJ3SFoBCQkZGBdevWYdasWRg0aJDNndB2JlxTi4jMxekHiYg6zvr163Hu3Dnp+e9+9zuEhobKWFHrmXOMbk/H8Qy1iIiImmCo1TZarRZnz57F2bNnpQt2Oo0O6ScLkH2xCOA1f7JDnH6Q7I2oAzJOFqAspQrRC0Pg6uOM+vp67N69G0lJSZg1axbc3NzkLrNTYqcWEZmL0w8SEXWMnJwcvPPOO9LzUaNG4e2335axorZxtONLhlpERERNGEKttiye6agKCgoQFxeH3NxcaawqtxaJu7NQU1gvY2VE1sXpB8leVWTU4Pq6ZETMDES3Ib4AgNu3byMjIwMLFy5Er1695C2wE+KaWkRkLk4/SETUMb773e+ivLwcgP5n78aNGzvlerLPPPMM/vSnP1lt+z//+c/x9ddfW237rcWrdURERE0Y7ohkp9bT6XQ6XLp0CSdOnJBOukWdiMyzhcg8U8gL/WT3GGqRPdPW65AYl42SpEpEzg6Gyk2JiooKfPjhhxg3bhymTJnCG0BagdMPEpG5OP0gEZH17dq1C3FxcdLzH//4xxgyZIh8BbWDn58fJk2aZNXt2xKegRARETXB6QfNU1JSgj179iAjI0MaqymsQ2JcNqpyamWsjKjjCI/u4uNFarJnRXcqUJFZi+gFwfAJ9wQAXLhwAQ8fPkRMTAy6du0qc4WdA6cfJCJzGc5DRFGETqfrlF0DRES2rLy83GSawd69e+O9996TryBqFYZaRERETTDUejJRFHH16lUcPXoUDQ0N0ljOpWKkn8iHTsOLdeQ4uKYWOQp1RQNuf5SG4HEBCJvaDQqlAnl5ediwYQOef/55jBo1yq4Wn7YGTj9IROYy7oLVaDRwdnaWsRoioo6jVquRlZX12NdDQkIssp9f/OIXyMnJkZ6vW7eO68Z2Igy1iIiImmCo9XgVFRXYs2cPHj58KI3VlaqRGJeFiowaGSsjkgenHyRHk32hCGUpVeizKATuXV2h0Whw8OBBJCUlYf78+fD09JS7RJvFTi0iMpdxqMV1tYjIkXzzzTcIDQ197OuWOI46e/YsNmzYID1/9dVX8fzzz7d7u3LpiGPLwYMHo66uzur7MRdDLSIioiYYajUniiJu3ryJgwcPor6+XhrPvVqC1CN50DVw6jVyTAy1yBFV59chYUMKek3rgaDR/gCA5ORkxMbGYt68eejTp4/MFdomrqlFROYyPg/hulpERJZTX1+PlStXSkGQv78//vGPf8hcVdt11HHln/70pw7Zj7kYahERETVhCLWM75B0ZNXV1di3bx/u378vjdVXNCApPhtlKVUyVkYkP0OopWOoRQ5GpxHx8FAuSpMrETU/GM6eTqipqcHnn3+O4cOHY/r06Zwuqwl2ahGRuZpOP0hE5CiGDx+OPXv2WG37v//9702ubfztb39DQECA1fZH1sGrdURERE0YThzZqQXcu3cP+/btQ01N49SCBTfKkHIoB9o63mlOxDW1yNGVJlfhm9hkRM0Nhn/fLgD008akpaUhJiYGwcHBMldoO7imFhGZS6FQQBAEiKLI6QeJyKE4OztbbN2spu7cuWPScfTcc8/h9ddft8q+yLoYahERETXB6QeB2tpaHDx4ELdu3ZLGGqo1SN6Xg+L7FTJWRmRbOP0gEaCp0eLeFxnoPtwXvacHQumsQElJCbZs2YJJkyZhwoQJUqDjyDj9IBG1hkqlQkNDAzu1iIgsQKfTYcWKFVCr1QAAV1dXrFu3TuaqqK0YahERETXh6KFWcnIy4uPjUVlZKY0V36tA8r5sNNTwTlEiY9L0g1qGWkT535SiPK0afWJC4BXsDp1Oh5MnTyI5ORkLFy6Er6+v3CXKitMPElFrKJVKhlpERBaydu1aXLx4UXr+v//7v4iMjJSxInnU1NSgrKwMZWVl6N+/v9zltBlDLSIiIiPGU3w4WqhVX1+Po0eP4tq1a9KYpk6LlIO5KLxZJl9hRDZMULJTi8hYXYkaN7c8ROjEbgh9tisEhYDMzEysW7cOs2bNwuDBg6Vwx9Fw+kEiag3DulqcfpCIqH2ysrLwq1/9Sno+aNAg/PSnP5Wxoo5RUVGBuLg4XLlyBV9//TVu3rwpdaoJgtDiTRO///3v0bVrVyxYsADdunXr6JLNxlCLiIjIiPGUQI4UaqWnpyMuLg5lZWXSWGlKFZL2ZEFdybtDiR6Ha2oRNSfqgIxTBShNqUKfhSFw9XWGWq1GXFwckpKSMHv2bLi5ucldZodjpxYRtYYh1GKnFhFR+7z11lvSTDQKhQIbN26Ek5OTzFVZz61bt/B///d/+OKLL6T10c09/jx37hyOHDmC73//+1i6dCl+9atfoWfPntYst004sTkREZER4zshDSeS9qyhoQGHDx/Gtm3bpEBLq9YheX8O7nySxkCL6Cm4phbR41Vm1uD6umTkJ5RKY3fu3EFsbCxSU1NlrEweXFOLiFrDcIMdQy0iorbbsWMH9u7dKz1/6623MHr0aBkrsh6tVot3330XI0aMwNatW1FdXQ1RFKVASxAEs2ZMEEURarUaGzduxIABA/DRRx9Zu/RWs/+rdURERK1gHGrZe6dWdnY24uLiUFRUJI2Vp1cjaU826krVMlZG1HlIa2ox1CJqkVatQ9KebJQmVSJiThCc3FSorKzERx99hLFjx2Lq1KkOcRMJwE4tImodTj9IRNQ+ZWVl+P73vy89DwkJwR/+8AcZK7KeyspKvPDCC7hy5YpJiNVWhs9WV1dj2bJlePDgAX7/+99bpFZLcIyzByIiIjMZ3wlpr6GWVqvFmTNncPbsWelgR6fRIf1EPrIvFQO81kZkNk4/SGSeorsVqMisQfSCEPj09gQAXLx4EQ8fPkRMTIxNz9lvKcZraomi6LBrixGReTj9IBFR+yQkJCAvL096npWVhS5dulhk2+np6U88lnv99dexbds2i+zradRqNebPn4/Lly8DaB5mteaGqt/97ncYMGAAPv74YxQWFkIQBIiiiA8++ACBgYH43ve+Z9Ha24rTDxIRERmx906tgoICbNq0CWfOnJEObKpyapGwIQXZFxloEbWWYLhIzenEiJ5KXanB7Y/TkHokFzqN/u9Mfn4+NmzYgMuXL9t9BxNDLCJqDcO5CDu1iIjoSX7yk5/g1KlTJtMLGm6iUqlUGDRoEKZPn47FixcjKCjoidsaMWIE/vrXvyI9PR0ffPABXFxcpGDrF7/4BR4+fNgR39JTsVOLiIjIiPFJo+GOanug0+lw8eJFnDx5UvoedVoRmWcLkHW2ECKvxxO1CdfUImq97IvFKHtYjeiYEHh0c4VWq8WhQ4eQlJSE+fPnw8vLS+4SrcI41NLpdHZ58wwRWQ47tYiI2sfPzw/Tp09v93aSk5ORkpJiMubq6opJkyY99jODBg1q937NkZiYiPXr15uEWR4eHli6dCm+9a1v4ZlnnjGZ6nvmzJnIycl56nZdXV3x85//HM899xymT5+O0tJS1NXV4Z133sGXX35pte/HXAy1iIiIjBgCH6VSaTd3VBcXFyMuLg5ZWVnSWHVBHRLjslCdWydjZUSdH9fUImqb6vw63NiYgrDnuiN4TAAAICUlBbGxsZg3bx769u0rc4WWZ3yzjL13pRFR+7FTi4iofQYPHoxDhw61ezvvvfcefvOb35iMde/e3SLbbq/33nsPGo1G6qaaOXMm1q9fj5CQEItsf8SIEdi9ezemTJkCnU6HPXv2oLCwEF27drXI9tvKfm5BJyIisgDDSaM9LFoviiKuXLmC9evXS4GWKIrIOl+IhA0pDLSILIBrahG1nU4jIvVwHm5/kgZ1ZQMAoLa2Fl988QXi4+OhVqtlrtCyjG+WYahFRE/DTi0iInoSjUaDffv2SceYixcvRnx8vMUCLYNnn30Wy5Ytk/b51VdfWXT7bcFQi4iIyIhxp1ZnVl5ejk8++QQHDx5EQ8OjC4Ulatzamoq0Y/kQtbyYRmQJnH6QqP3KUqrwTWwyiu6VS2PXr183uSnDHjSdfpCI6EkM5yMMtYiIqCXnz59HVVUVAH3n2KZNm6x2Let73/ue9Pjy5ctW2UdrMNQiIiIyYjhp7KyhliiKSEhIQGxsrMkCnjlfF+P6umRUZNbIWB2R/WGoRWQZmlot7n+ZiaT4bGjV+htMSkpKsGXLFpw+fdouQiB2ahFRa7BTi4iInuTChQvS4zVr1qBLly5W29eQIUPg7+8PQH/zmdw6/9xKREREFtSZO7Wqqqqwb98+PHjwQBqrr2hA0p5slD2skrEyIvvFNbWILCv/einK06vRZ2EIvELcIYoiTp06heTkZMTExMDX11fuEtuMa2oRUWsYQi2uqUVERC0pKCiQHs+ePdvq+4uIiEBxcTEKCwutvq+nYacWERGRkc4aat29exdr1641CbTyE0rxzdokBlpEVsQ1tYgsr65EjZtbHyLjdIH0dysrKwvr1q1DQkJCpw2E2KlFRK3BTi0iInoS41CrV69eVt+fl5cXAKCsrMzq+3oadmoREREZ6WyhVm1tLQ4cOIDbt29LY+oqDZL3ZaPkQaWMlRE5Bk4/SGQdog7IOFWA0uRKRC8MhZufM9RqNfbs2YOkpCTMnj0b7u7ucpfZKlxTi4haw3A+otVqIYqiyc8QIiKiiooK6bEhcLKm4uJiALbRQcxQi4iIyIjhl7PhzkhblpSUhPj4eGlhUAAouluO5P050NTIf5BB5Ag4/SCRdVVm1SJhfTJ6zwhE92H6qQfv3r2LzMxMLFiwAL1795a5QvOxU4uIWsNwPiKKInQ6Xae56Y6IiDqG8Q1eeXl5CA0Nter+MjMzAXRMgPY0nH6QiIjISGfo1Kqvr0d8fDy2b98uBVqaWi0e7MrE/R2ZDLSIOhA7tYisT6vWISk+G/e+zEBDrX4arsrKSnz88cc4fPhwp5mai2tqEVFrGJ+P2MJd8URE9k4QhBa/fvOb3zR7b3p6+mPfv23btg6pNyQkRHp87tw5q+7r4sWLKC4uhiAI6Nmzp1X3ZQ6GWkREREYMF8ZsNdRKS0vDunXrcP36dWmsJKkS38QmofBWuYyVETkmrqlF1HGK71XgemwySlMaO5QvXbqEjRs3mqwpYKs4/SARtYbxzBGdJbwnIqKOM3DgQOnxpk2brLqv2NhY6fGQIUOsui9z2P7cStRmhw8fxooVK6TWQADYunUrli5dKl9RHaiiogKbN2/G3r17cf/+fRQXFyMgIAADBw5ETEwMXnvtNbi5ucldJhHZGFvt1GpoaMDx48dx+fJlaUyr1uLh4Tzkf1MqY2VEjo2dWkQdS12pwZ1P0hA0xh+9nusOhUqBgoICbNiwAdOmTcPo0aNtdt0ZTj9IRK3BTi0ioo41ffp0i2wnODjYItt5msmTJ0uPT506hW3btlnluv/Ro0fxySefSM+nTJli8X20FkMtO1ReXo4f//jH2LJli9X3derUKav8QT579iwmTJjQ5s/v2LED3/ve95rdsZmTk4OcnBwcOXIEv//97xEbG4vZs2e3t1wisiO2GGplZWUhLi5OWpQTAMrTqpG4Jwv1ZQ0yVkZEwqPpxNh1QdSxci4Vo+xhFfrEhMKjuyu0Wi0OHz6MpKQkLFiwwCbm+m+KoRYRtYbx+Qg7tYiIrO/QoUNyl9Aq4eHhGDVqFK5evQpRFLFy5UooFAq89tprFtvH8ePHsWjRIgiCAFEU4ebmhoULF1ps+23F6QftzIEDBzBgwIAOCbRs1d///ne89NJLT52CJDMzE/PmzcPGjRs7qDIi6gxsKdTSarU4ceIEtmzZIgVaOo0ODw/n4taHqQy0iGyA1Kml5QVqoo5WU1CPhI0pyL5YJI09fPgQsbGxuHfvnoyVtcywzgLAUIuInk6hUEg/M9ipRURELfnRj34EURQhCAI0Gg2WLVuGhQsX4u7du+3abmFhId566y3MnDkTVVVV0j7eeOMNm7h5jKGWnSgtLcXrr7+O2bNnIzs7W+5yZBMfH4+f/vSnZp8k6nQ6rFmzBkeOHLFyZUTUWdhKqJWfn4+NGzfi7Nmz0s+0yuwaXF+fgpxLxU/5NBF1FK6pRSQvUSsi9Ugebn+civpK/c0etbW1+PLLL7Fnzx7U19fLXKEpwwVqdncS0dMIgiCdkzDUIiKilrz00ksYM2YMAEjdVPHx8Rg0aBDGjRuHP/7xj7hw4QIqKyufuJ2amhpcu3YNmzZtwpw5cxAaGor169dDo9FIx6++vr743//9X6t/T+bg9IN2ID4+HqtXr0Zubq405unpiaqqqid8yv5UV1djxYoVJoGWr68vfv3rXyMmJgaBgYHIycnBF198gT/84Q+oqKgAoD84XLp0KVJSUrjGFhFJJ4zGCzN3JJ1Oh/Pnz+PUqVPSBS+dVkTmmQJkni0EeN2cyKYISoZaRLag7GE1rscmI3JOEAL6ewMAEhISkJ6ejpiYGISEhMhcoR47tYioNZRKJTQaDacfJCKiFgmCgG3btmH06NGoqKiQgi0AuHz5ssm67L6+vlCr1dLzAQMGoKqqCpWVlaioqDA5PjU8NmxPEARs3LgRAQEBHfSdPRk7tTqxkpISvPrqq5g/f75JoPXiiy/ixIkTMlYmjw0bNphMORgYGIgrV67gRz/6EcLCwuDs7IxevXrhF7/4BS5cuAB/f3/pvbm5uZyGkIgANM5XL0enVnFxMbZu3YoTJ05IgVZ1fh1ubEpB5hkGWkS2yDD9oI6hFpHsNLVa3N+RicQ9WdDU629SKS0txZYtW0xuFpGT4tE6fAy1iMgchhvt2KlFRESPEx0djZ07d8LV1RVA45TXoiiafJWUlEhNMKIo4t69e8jMzERZWRl0Op3Je42nzQaADz74wCbW0jJgqNVJJScno3///vj000+lse7du2Pnzp344osv0LVr1w6v6fXXX2/2l6WtXxMmTGj1/nfv3m3yfPPmzYiMjGzxvQMGDMCGDRtMxnbt2tXqfRKR/ZFj+kFRFHH58mWsW7cOWVlZ+jGdiMxzhUjYmILqvLoOq4WIWofTDxLZnoKEMiSsT0FFZg0A/e/Z06dPY+vWrSgpKZG1Nk4/SEStwekHiYjIHFOnTsWxY8cQEhJi0mXV9Kuplt5jPLOAq6srNm3ahJ/97Gcd+v08DUOtTiorKwv5+fnS829/+9u4c+cOYmJiZKxKPqIo4tKlS9LziIgIzJw584mfiYmJQVhYmPT84sWLvGOSiDo81CorK8NHH32EQ4cOSV1itcX1uLn1IdKP50PU8ucSkS0TGGoR2aS6UrX+d+mpfOnvZ1ZWFtavX4/r16/LdtzP6QeJqDUM5yScfpCIiJ5m7NixuHHjBhYvXiw1jjT1tJALgPTZwYMH4+rVq3jjjTesXXqrMdTq5AIDA7Fnzx58+umnJtPpOZri4mI0NDRIz4cNG2bW50aMGCE9VqvVst+5SUTyEkWxw0ItURRx/fp1xMbGIi0tTRrPuVKM6+uTUZlVa9X9E5FlMNQismEikHm6EDe3PERtST0A/TF/fHw8duzYgZqamg4viaEWEbUGpx8kIqLW8PHxwZdffomrV6/ipZdeglKpNJkdrSVNZ1AbN24cdu/ejevXr6Nfv34d/B2YRyV3AdQ2giDgtddewz//+U/4+vrKXY7smh7gGeaqf5qmF605DQiRYzP+GWDNUKuyshL79u1DYmKiNFZXrkbSnmyUp1Zbbb9EZHlcU4vI9lVm1yJhfQrCp/dAj+F+ACCtIbBgwQJERER0WC1cU4uIWoPTDxIRUVsMHz4cn332GYqLi3H69GmcPXsWV69eRWFhIYqLi1FeXg4PDw/4+fnB398fAwYMwMSJEzFp0iT07t1b7vKfiqFWJzVhwgRMmjRJ7jJsRkBAABQKhXRB+s6dO2Z97tatW9JjpVLp0N1uRGR6smi4K9LSbt++jQMHDqC2trETK/96KR4ezoW2nsE6UWfDNbWIOgetWofkvTkoTapC5NwgOLmrUFVVhU8++QSjR4/GtGnTrPa73xjX1CKi1jD8XOL0g0RE1Bb+/v6IiYmxuyWLOP1gJ9VRa710FkqlEoMGDZKe37lzB+fOnXviZ06ePIn79+9Lz0eMGGF2hxcR2SfjUMvSP2dramrw1VdfYefOnVKgpa5qwN3P0pEUn81Ai6iT4vSDRJ1L8f0KXI9NRmlypTR2+fJlbNy40WTNYmvh9INE1Brs1CIiImqOV/DJbsyZM8fk+euvv47s7OwW35uRkYGlS5eajC1YsMBKlRFRZ2F8B6QlQ63ExETExsaadJEW3SnHN2uTUZJY+YRPEpGt4/SDRJ2PukqDO5+m4+GhXOg0+ptKCgoKsHHjRly8eNGqgRNDLSJqDcM5CTu1iIiIGjHUIrvx9ttvw83NTXr+8OFDjBgxAmvXrkVWVhYaGhqQmZmJf//73xg5ciQyMjKk9/r5+eGtt96So2wisiGW7tSqr6/Hnj178Nlnn6GqqgoA0FCrwf2vMnH/q0xoannHJVFnx04tos4r53IxEjamoDq/DoD+OODIkSP4+OOPUVFRYZV9GmaG4PSDRGQOw/SD7NQiIiJqxDW1yG50794df/zjH/HDH/5QGsvPz8d3v/tdfPe7333iZ2NjY+Ht7W3lConI1hmfLLZ3OtLU1FTs2bMH5eXl0lhJUiWS47OhruKdlkT2QqHU/6wQeYGaqFOqKahHwsYU9HquO4LHBgDQ/w6PjY3F3Llz0b9/f4vuj51aRNQanH6QiIhswT/+8Q/cunULgiBg8+bNcpfDUIvsyw9+8APcv38f69atM/szf/jDH/Diiy9asSoi6iwMJ4tKpVK66NRaDQ0NOHbsGK5cuSKNaeq1SD2ch/zrpRapk4hsBzu1iDo/USsi9UgeSpIqEb0gBC5dnFBXV4cdO3Zg6NChmDFjBlxcXCyyL4ZaRNQanH6QiIhswZEjR3D48GGGWmS/ampqEB8fjxMnTiAhIQGZmZkoLy+HVquFv78//Pz80LNnT0yYMAGTJk3C6NGjpZZ6S4iNjUVkZCTeffddVFdXP/Z9Xbt2xb/+9S+8/PLLFts3EXVuhlCrrT+TMjMzERcXh5KSEmmsLLUKSXuyUV/eYJEaici2KLimFpHdKE+txvXYZETOCULAAP0sDgkJCUhLS0NMTAxCQ0PbvQ9DJzhDLSIyB6cfJCIiao6hFllMdXU13n33Xfz973+X1o5pKjc3F7m5ubhz5w4OHjwIAOjVqxd+8pOfYPny5SZrYrXHT37yE7zyyivYuHEjDhw4gOTkZJSXl8PPzw/9+vXDvHnzsHz5cnTp0sUi+yMi+2C4A7K162lpNBqcOnUKFy5ckC5SaRt0SD+ej5zLxRavk4hsBzu1iOyLpk6L+19loltSJXrPDITKRYmysjJs3boVzz77LCZOnNiudTcNnVpcU4uIzMHpB4mIiJpjqEUW89VXXzUb8/HxQVBQELp164bq6mrk5+cjIyPD5D1paWl4++238Ze//AVffvklRo8ebZF6evTogV//+tf49a9/bZHtEZH9M55+0Fx5eXmIi4tDfn6+NFaZVYPEuCzUFqstXiMR2ZbGNbUYahHZk4IbZShPr0afhSHo0tMDoijizJkzSElJQUxMDPz8/Nq0XU4/SEStwekHiYiImmOoRRbn7OyM1atX4+WXX8aYMWOarUuTkZGBXbt24Y9//CMKCgpMxp999ln8+9//xqpVqzq6bCKiVoVaOp0O586dw+nTp6W7rXVaHTJOFSLrfCHAa1VE9s/oEIehFpH9qS9rwM1tqQh9tit6TuoGQSEgOzsb69atw4wZMzBs2LBWr8HJUIuIWoPTDxIROYalS5fizJkzcpfxWMY3ctsChlpkUaNHj8a2bdvQt2/fx76nZ8+e+OEPf4g33ngD3/nOdxAfHy+91tDQgDVr1qBbt25YuHBhR5RMRCQxN9QqKipCXFwcsrOzpbHqvFokxmWjOr/OqjUSke0wrKcFcE0tIrslAplnClGaXIU+MSFw83dBQ0MD9u7di6SkJMydOxfu7u5mb86wphanHyQicxjOS3Q6HURRbHWQTkREnUN+fj7S0tLkLuOxbO33j0LuAsh+PPvsszh27NgTAy1jXbp0wc6dOzF79myTcVEU8eqrr+L27dvWKJOI6LGeFmqJoohLly5h/fr1UqAl6kRkni1EwqaHDLSIHIxgFGqJWoZaRPasKqcW19enIO+bEmns/v37iI2NRXJystnbYacWEbWGoVML4BSERESOQBAEm/yyNQy1qF2GDRuGs2fP4uzZszh48CA8PT1b9XmVSoXNmzc3m5O+pqYG77zzjiVLJSJ6KkOoZXzyaFBaWooPP/wQhw8flk4oa4rqcXPLQ6SfyOcFbSIHZBJqsVOLyO7pGnRI3puDu5+no6FGfyxQVVWFTz/9FAcPHkRDQ8NTt8FQi4haw/hmO05BSEREpMdQi9rF29sbEyZMwIQJE+Dh4dGmbXTv3h0/+tGPmo3v378fFy9ebG+JNkun06G+vh4NDQ3SVAJEJK+WOrVEUcS1a9ewbt06pKenS+M5l4uQsD4Zldm1HV4nEdkGQdF4KM2pxIgcR8mDSnwTm4zS5Epp7MqVK9i4cSPy8vKe+FnD9IM89icicxifl7BTixyJKIrQ6XRoaGhAfX09amtrUVVVxXCXHIIoiu36ssS2Wvq8LeGaWmQTli1bhnfffbfZBaGPP/4YY8eOlamq1vnyyy/xrW99CwqFAkqlEgqFAiqVCiqVCpWVlc3eX15ejkOHDpmMGT5nvA1zHlvic4bntthSStRRDCeKhpPHyspKxMfHm0wrVFemRtKebJSnVctSIxHZDgU7tYgcVkOVBnc+TUfgM34If74HFCoFCgsLsWnTJkydOhVjx45t8bianVpE1BrGM0jwYj51FEOgZPjSarXNHj9prKXXWrMdw+OWVFRUNBu7du0aunXrBo1GI30Zb++zzz7Diy++aO3/bEQWk5qa2qbPbd68GR988AG0Wi1EUUSPHj0wa9YsDB48GP369YOvry+8vLzg6uoqfUaj0aCyshIVFRVITk7GnTt3cPz4cdy8eRMA4OnpiXfffReLFy+2yPdmKQy1yCYEBwejf//+zdbROnLkiEwVtV5xcbH0y7etd1BptVrZD1QFQbB4YNY0PHvauOGLARt1NMPfP4VCgVu3buHAgQOoq2tcJyvvmxKkHs6DVs2ODCLi9INEBOReKUF5ajWiY0Lg2cMNWq0WR48eRXJyMhYsWIAuXbqYvN9wfMvuTiIyB6cfdBxNg6SmIU9LX+a+3tpQqrP9jmpoaEBhYeFjXy8tLe3AaojaLywsrFXvF0URK1euxJYtWyCKIsaMGYPf/e53mDJlSquurU6cOFF6nJycjD/84Q/46KOP8POf/xwPHjxAbGzsY9eg72gMtchmjBgxolmolZKSgqysLISEhMhUlfkmT56MH/3oR6itrUVNTQ1qampQW1uLuro6XLlypVm3lre3N5577rk2383yuM897T1PuytUFEWbCNcA04BNEISnhmDmhmVNO9Na+36GbfbL8Oc+KSkJt27dksbVlQ1I2puD0qTmXZdE5LiMQy0dQy0ih1VTWI8bmx4ibGo3BI8NgCAISE1NRWxsLObMmYMBAwZI72WnFhG1huGcuD03z1JzhuselgiMLPV6Z/u98KSbmy0521DTf//xj39sVouHhweGDh0KV1dXuLq6ws3NDe7u7tLX5MmTO/4/EFEH+sEPfoDNmzdDEAT8+c9/xk9/+tN2bzMyMhJbtmzB8uXLMX/+fGzevBkVFRX4/PPPLVBx+zHUIpvRu3fvFsezs7M7RajVr18//P3vf2/xtbFjx+LSpUsmYwqFAp6enh1RmommB2/taQVvy+dac8BmSwGbMUuFak270swZM+f9DN7azhA+5+fnS2OFt8qQcjAXmlrb+nNIRPIzmX5Q27kuRBCRZYlaEWlH81GaVIXoBSFw8XZCXV0dvvrqKyQlJWHmzJlwcXFhqEVEraZSqaBWq23uvPhxWuo4aul6gCVfe9J0eY97f2f0uGsET5sdx9xgydyASc5rDi3td9CgQTh37pwM1RDJ7/Dhw/jPf/4DQRDwt7/9DT/84Q8tuv3x48fjxIkTGD16NHbs2IHx48fj7bfftug+2oKhFtkMb2/vFseLioo6uBL7JgiCybzccjHnzijjA1Jrv9/w2Bytea9crBWYWXo7thLA1dXV4fDhw6ipqYG7uzt0Oh0aajRI2Z+DorvN5+wmIgI4/SARNVeeVo1v1iUhcnYwug7Un9/cuHED6enpWLhwIRQKBQBOP0hE5jP83FCr1VCr1c1CHMPjlgIfw5jhHLkjAiZ70d6bWc15/Ukzx7T0ui2cOxORdYSGhqJPnz6t/tyvf/1rAMDo0aMtHmgZDB48GL/4xS/w/vvv491338WyZctkadQwJv+VbaJHPDw8WhwvLy/v4EqoI9hKuNZUa0OwtoZrrT05MIy19vvoDAzBVtNus6YhWEuPzXn/095TVFSEq1evoqamBkFBQQAAbZWI7KNlUDQ4ISDcFzqtDjqN+OjfOv2/tTpojcZ4QZvI8TDUIqKWaOt0eLAzEyVJlYiYFQiVixJlZWXYtm0bRo4cCYCdWkQdQRTFFgOfJwVCTwuLrPH+p71ukJCQgISEBPn+g1pYW26SbM1Nl+0NnRggEVFH2rBhQ6s/c+/ePVy9ehWCIGD58uVWqKrRihUr8Nvf/hbl5eX4/PPP8eabb1p1f09je1eUyWFVVVW1OO7j49OxhZBDMxzA2iLjkzJzArDW3E1nie00HWvL9yWX7t27mzwP6xuKsHdDW7UNUSc+CroMoZfYGIBJ/xaNAjHDuAhRp3+u30bje0TpsQhRJz56z6NtP3pNNOxLq4NOJ0oBm854XCs2vk+nM3pP475M32PYjuk2dFodwGtwRBJByTW1iOjxCm+WoSK9GtELQ+Ad5gFRFJGVlYXu3bujvr5e7vLIgRmOv42DFEs+ttZ2n/T4cQGSo2npRr72BkXtec3WZ+wgIurMjh8/Lj2eMmWKVfcVHByMiIgIpKSk4NChQwy1iAwe15EVEBDQwZUQ2SbjjiZb97i7IlsKwdp692Rb36PT6aBWq1FRUQGdTtd4MiUCTs5OEAQBWo0OSlXr/jsLCgFKhRJKJ6UV/ovaDikwe1qAZhjXiE3CMcN7Hv3/MArTRJ0+UBN1+s+LxmOPtmkI4wzbFKUxXePjJmOGbRnGpW09qsH4PfrHRtvSPmlbpjWQ41GwU4uInqK+vAG3PkxFyISu6Dmpm3SRPT09He7u7hg+fDgv7FqRccjypK+mgYy5nwHQ5s8a/ixYYt9tCZ2oubbMAmHpsZZeu3nzJioqKhAeHo7w8PCnbo+IiBzDvXv3pMeGmYesKSgoCMnJybh586bV9/U0DLWozX76059Kj9955512h0/JycktjgcHB7dru0TU8Ww1gNNoNDh58iQuXbokncxrG3RIO5aH3CslWLn9JTi7OWHf704g80YeBIUAhUoBhVIBpUqAQql/bBhTGMZUCigNY9Lr+s8qjd9vGFM1vk9QPjoJVeq31bjPRyepSqHxs4/+LSiM9q0QICiNtt90O4+23bidxm21hRTeAYCL5f7f2AOT4KtpsNZCANc0IDMO5SA+ulCl04cloiia/tv4S8Sjzz/qFhIfbVN8FNSJzd/X4raM3qfT6R599inv1Rl/pnHf0BnV0KzW5tsyqfvR96+/6AZAJ0JEYx3Sa49CpGbjIgCxcV/WxOkHiQgAIDw69nn0M0FQCBAejUHQPy68Xo7aPDW6v9XYHX748GEkJydj2rRpcHNzMwkbnvTvpu9ry1h7P98RY619b0vhEFmecZeNLT1uS5DU9HVbDYTc3NxQUVEBlUoFLy8vucshIiIbUVhYKD2uq6uDq6urVfdXV1cHAMjLy7PqfszBUIva7G9/+5v0+OWXX253qHX16tVmY5GRkQy1iMgicnNzsXv3bpNf+hWZNUiMy0JdiRoA4OSi/7XYUK8FoL9IrVVroYUWDR1fstU1Bl+PgjClAKXSNEiTAjQpHFMYvaflAE0aV7YQ1ilMQzpB2TguPPpSKBSNj5VGY0rhUYjX+B7D683eI32+hW0Z6jF6jyUolApACdh3r17nJAVxhsDLKCiTArAmwZhpuNZymGb8Z2fRH6c3hoYm4drj9mt0UVYHAKL0Wf00n4bPASIa39/4TZk+Nw7zjAcNz6X3Ntn2o2ePtgfjQem5tE1RhPQW6cKy0faNyzP8N0PT9xrvq4XvU9q+9dYcstpFS2tdCxUAQf8P/VNBPygIhn0aHguGp6bfo9Fzw/ukzT0KXAwbb77Nxn1L75PqaLJNo8dCk/eYfOYx22wsuaXvzWh/CqFxO4/21XxMgKBorKV54NT8883ea/Q6Ho2ZPBfQrt8fXl5eGDBgAADg3Llzbd4OdQzjm7WMAxBzv9ryGXM/a6lwyNz3UcdTKvVHl1qtVuZKiIjIltTW1kqPMzIyrL6ET0ZGBoDGcEtODLXIIh4+fCgtetwWaWlpePDgQbPx559/vj1lERFBq9Xi3LlzOHPmTONULVodMk4WIOtCkXQRVumslC54aeo0cpXboRpDO2oMxpoEX8ahWUsBWZMgrVnYplQYbfMx22oS1BlfoDW8x/A+CKahnfRe6bnQ4meN32e8HQiP6hKavlcBQdG8DtPPokktTfdpum9LhYdt/v9rtcRBzy/U26rbJyJ6HONQounz9o5ZY5uWHOuooIlIToZQS6NxjHMUIiIyj6enp/Q4Li4OgwcPttq+Ll++LHVoeXh4WG0/5mKoRRZx7NgxvPjii23+/ObNm1u8G/eVV15pT1lE5OAKCwsRFxeHnJwcaawqrxaJu7NQU2C6QLuTS2N/jUbNE0ZHI039J3ch9u5RENY8nDM8fhSoAYBCH0M17ZjQh8/69xr+LQhNOjSER583PDZ81nBxUqHvFGn22Sd0cqDZtoEu3Twx+ltDAACn1l3Wd2AZ1f34bZvWBOPvzXifTTpWAKNOmEdDJhdbmzw3vNe4K6fxX8bbNn0utNAV9NhtN/7L/A4dqVbjbTevQ/8PK00fZq3NWm22M9Puuid28j2ti69pB59Rh17zbRo22KRzz9B9Z/hHi9ts8thk3y1t8/Hdei12PopocVrSZp2XTToyRRH6aU2NOzFNpjmFyfshTaX6qD5d4+dMujCfVJdRR2bfKREYuXggClKKcfRf59Hr+e7wCfeUvlc/Pz/MmTMH3bt3b/J3rnmoY3hMRPZNpdJfumOnFhERGQsPDwegP97csGED3n77bfj6+lplX3/4wx8A6I89e/fubZV9tAZDLbKI7du343e/+x26devW6s9mZ2fj3//+d7PxmTNnYvz48ZYoj4gcjE6nw+XLl3H8+HHp5E/Uicg8V4jM04Utrn2jcm78lWiYfpCILEwEdFr91Wp7CBC7RfpLodbdY8mPvjcioserKddPEyPqRJRmVKB0cwUCR/mh1/M9oHRSoKCgANu2bcPUqVMxbtw4hlZExOkHiYioRWPGjAGgD5pyc3Px2muvYdeuXXBycrLofv70pz9h79690nHp2LFjLbr9tpBvHhiyK9XV1Vi9erU0tZe51Go1li1bhvLycpNxV1dXfPDBB5YskYgcRGlpKT788EMcOXJEOvGrKazDjc0PkXGyoMVACwBULo2hlqaenVpE9HSG7isA0D3mZwsRkTHxUfgtKBpPxXO/LkHChhRU5eoDL51Oh2PHjuGjjz5qdp5ERI6H0w8SEVFLnn/+eXh766fBF0URBw4cwMSJE5GSkmKR7VdWVmLlypX41a9+BUEQpJkFlixZYpHttwdDLbKY3bt349VXX0VlZaVZ7y8tLcXcuXNx9OhRk3FBEPDhhx9adR5QIrI/oiji6tWriI2NlRavBIDsS0X6C0U5tU/4NODkatSp5SBrahFR+xiHWtaazo6I7Iuho1OhNO3Aqi2qx41ND5F1vlC6YJCWloZ169bh9u3bHV4nEdkOTj9IREQtcXNzw+rVqyGKohQ6Xb58Gf369cN3vvMdHDt2DGq1utXb/eabb/DLX/4SPXv2lJYMMuxj5MiRmDRpkhW+m9bh9IOdWFpamjR3prmWLVuGZcuWtfja1q1bsXTp0nbV9Nlnn+HcuXP4/ve/jxdffBE9e/Zs9p7U1FTs2LEDf/rTn1BSUmLympOTE/75z3+2a30uInI8FRUViI+PN7kbpa5UjaQ92ShPrzZrG6pHa2rptDroNPYwMRoRWZviUail0/JnBhGZx/DzommoBeinJEw7lo/SpCpELQyGq7cz6urqsHPnTiQlJWHmzJlwdXXt6JKJSGacfpCIiB7nV7/6FbZv346srCwp2NJoNNi+fTu2b98Od3d3DB8+HFFRUYiMjISPjw88PDzg5uYGtVqN6upqVFZWIjU1FUlJSbh+/TqKiooANK5va9iuSqXCf/7zHzm/XQlDLWqzf/7zn9iwYQPu3r1rMp6ZmYmf/exn+NnPfobAwECEhISgS5cuqKioQF5eHjIzM1vcXq9evfD5559j9OjRHVE+EdkBURRx69YtHDx4EHV1ddJ43rUSpB7Jg1Zt/oVmw5paGjVPFonIPIZOrcdNa0pE1JTh54VC+fhJU8rTq3F9XTIiZwWh6yAfAMDNmzeRnp6OhQsXIiwsrCNKJSIbwekHiYjocby8vLBjxw4899xzqKmpkda9MgRS1dXVOHfuHM6dO2fW9gyfA2CytqsgCPjHP/6BUaNGWbD6tmOo1Ym5ublh+vTpFttecHBwq97/gx/8AD/4wQ9w7tw5fPbZZ9i/fz/S09NN3pObm4vc3Nwnbqdv37744Q9/iNdeew1ubm6trpuIHFN1dTX279+Pe/fuSWP1lQ1Ijs9GaXJVq7dn6NRiqEVE5jKEWlxPi4jM1dip9eSVALR1OjzYlYWSpEpEzAqCylWJ8vJyfPjhhxg/fjwmT54sXegmIvvG6QeJiOhJnnnmGcTHxyMmJgbl5eUQBMEkkDIOqp7G+HOGzwqCgD//+c946623LFZzezHU6sS6d++OQ4cOyV0GJkyYgAkTJuC///0v7ty5g3PnzuHWrVu4desWMjMzUV5ejoqKCri6usLX1xd+fn6Ijo7G+PHjMX78eIwYMaLZXxgioie5f/8+9u7di5qaGmms4GYZHh7MhaaubSd7Ti6POrXqeQckEZlHwU4tImolw5paQgvTD7ak8FY5KjJqEL0wBN5hHhBFEefOnUNKSgpiYmIQEBBgzXKJyAawU4uIiJ5mypQpuHz5Mt58802cO3euWZdVW4iiiLCwMGzYsAHPP/+8pUq1CIZaZFEDBgzAgAED5C6DiOxUXV0dDh48iJs3b0pjDTUaJO/LQfG9inZtW+n86GSRoRYRmYnTDxJRa0mdWoond2oZqy9vwK0PUxEyPgA9J3eHQikgNzcX69evx/Tp03mTIJGdM+7UMtwxT0RE1FR0dDTOnDmD9evX44MPPpBmVGvN7w1DV5e3tzdWrlyJd999F+7u7laptz0YahERUaeQkpKCPXv2oLKyUhorvl+B5H3ZaKhu/1QcUqcWpx8kIjMx1CKi1jJ0ainM7NSSiEDWuSKUpVQhOiYU7gEu0Gg02L9/P5KSkjBv3jx4eHhYoWIikpvxVKM6nY5TjxIR0ROtWrUKK1euxKFDh/DRRx/h3LlzyM7OfurnvL29MXr0aLz00kt4+eWXbXqZIIZaRERk09RqNY4ePYqrV69KY5o6LR4eykXBjTKL7aexU4uhFhGZh2tqEVFriY86tcydfrCpqtw6JGxIRvgLPRA40h8AkJiYiNjYWMyfPx9RUVEWq5WIbINxiKXRaBhqERHRUwmCgJkzZ2LmzJkAgJycHNy4cQNFRUUoKytDZWUl3Nzc4OvrC19fX/Tt2xd9+vSRuWrzMdQiIiKblZ6ejj179qC0tFQaK02pQlJ8NtQVDRbdV2OnFqcfJCLzSGtqaRlqEZF5Gju1zJ9+sNk2GkSk7M9FSWIVouYHw9lDherqamzfvh0jR47ECy+8ACcnJ0uVTEQyM0w/COinICQiImqtoKAgBAUFyV2GxTDUIiIim6PRaHDixAlcvHhRGtOqdUg9moe8qyVW2Sc7tYiotRqnH9TJXAkRdRY6nWFNrfaviVOaVInrsUmImhcMv+guAICrV68iLS0NMTExCAwMbPc+iEh+xp1ZDLWIiIgYahERkY3JyclBXFwcCgsLpbGKjGokxmWjrlRttf06uTwKtbimFhGZSVDoOy04/SARmcvQ2alQtb1Ty1hDtRZ3P8tAj5F+CH+hB5ROChQVFWHTpk2YMmUKxo0bB4XCMvsiInk0nX6QiIgIAO7du4fvfve7Lb4mCAL27t0Ld3f3Dq6qYzDUIiIim6DVanH27FmcOXMGoqi/4KPT6JB+sgDZF4sAK18zVjo/mn6wnieKRGQew5o4IkMtIjKT7tGaWu2ZfrAleVdLUJ5ahT4xofAMcoNOp8Px48eRnJyMhQsXwtvb26L7I6KOo1AoIAgCRFFkpxYREUk+/fRTnDp1CoJgOgOAKIoQBMGub4TgLVtERCS7goICbN68GadPn5YCrarcWiRsSEH2BesHWgA7tYio9aQ1tRhqEZGZjDs7BQtMQWistliNG5sfIvNcoXQ8lZ6ejtjYWNy6dcui+yKijiMIgtStxVCLiIgMDhw4ID02HPs5CnZqERGRrO7du4edO3dKJ2iiTkTm2UJknimA2IHL1DSuqWW/d7IQkWUJDLWIqJUM0w8C+p8hlv75IepEpB/PR2lyJaIXhMDVxxn19fXYtWsXkpKSMGvWLLi6ulp0n0RkfUqlEhqNxq7vuiciIvNVV1fjxo0bJl1aoihi8ODBWLp0Kfr27QtPT08ZK7QuhlpERCSrK1eumNxxmBSfjYIbZR1eh5PLo+kH2alFRGYyhFpcU4uIzKXTNd6xo1AK0Fnp+nRFeg2ur0tGxKwgdBvsAwC4desWMjIysGDBAvTq1cs6OyYiq1CpVKivr2enFhERAQAePHggTTNo+PdLL72Ejz/+2GQtRnvF6QeJiEhWo0ePNvmFGzknCEGj/Tu8DnZqEVFrsVOLiFrLuFPL0utqNaWt1yFxdxYe7MyEpk5/Iby8vBwffvghjh07xovjRJ2I4XyJnVpERAQAZWVlJs+dnJzwn//8xyECLYChFhERyaxv375YsWIFunXrBgBQqBToPSMQA14Jg7NnxzUUs1OLiFqLa2oRUWvptNZbU+txCm+X4/q6ZJSnVUtj58+fR2xsLNLT0zukBiJqH5VKf67CMJqIiADAzc3N5PmgQYPg5+cnUzUdj6EWERHJrnv37lixYgXGjBkjjflGemHYmkj49/XqkBoaO7V4okhE5mGnFhG1lthk+sGOUl/egFsfpSL1WB50Wn0NxcXF2LZtG86ePWsyLSIR2R7DnfcMtYiICACCg4Olx4IgwNvbW8ZqOh5DLSIisgkqlQrTp0/Hq6++Ci8vfZDl5K5Cv5fCEDkvGAon6/7KUhlCLTWn9CAi83BNLSJqLeNOLYWig0/HRcDZy6lZh9iJEyewdetWFBYWdmw9RGQ2hlpERGSsZ8+eCAgIAACIouhwx3EMtYiIyKZERERg9erV6NevnzTWY5gvhq2OgFew2xM+2T4qw/SD7NQiIjNx+kEiai3jELyjph8EABcfJ4z8QTSCR/tDEPT7dXOpB6CvJysrC+vXr8e5c+fYtUVkgwzTD3JNLSIiMli4cCFEUX8sl5KSgrq6Oqvt65133sHUqVPx3HPPWW0frcFQi4iIbI67uzuWLFmC+fPnw9nZGQDg5ueCwW/0RuikroAVrgGxU4uIWovTDxJRaxn/vBA6aPrBkAkBGPl2NFx9nKWxfr3T8dbL8Vg6/yj8vCsA6DtAjh8/js2bN6OgoKBDaiMi87BTi4iImvrRj34ElUoFQRBQW1uLffv2WW1fN27cwKlTp3Dq1Cmr7aM1GGoREZFNEgQBQ4cOxapVqxASEqIfUwgIm9wdg5f1hquv81O20Drs1CKi1mKoRUStZVjPCmjs9rQWlbsSw1ZHotdzPaSfVy7OasyfcgGLpp2Du6saoT0KsXLxAYwdfBeCoK8tJycH69evx5kzZ3gBnchGGEItdmoREZFB37598fOf/1zq1vrlL3+J+vp6mavqGAy1iIjIpvn5+WHZsmWYPHmyNF1Ol1B3DF0VgW5DfSyyD4VSgFKl/5WoUfPiDRGZR3i0Hg6n6iIic4la404t652Odxvmg2d+3Bce3V2lsbDAfKxcfACDo1MhGOVpTiotpo29jmXzjyDApxyA/ufayZMnsWnTJuTn51utTiIyj2H6QQbNRERk7Le//S1eeukliKKIhw8fIiYmxiGCLYZaRERk8xQKBSZNmoQ33ngDvr6+AACVixLR80PQd0koVG7Kdm1f6aySHmvqefcjEZmHa2oRUWsZr6mlsML0gwonAYOWhSN6Xoi0faVCi2ljvsGrc47Dx6v6sZ8N7l6MFYsOYNzQO1LXVl5eHjZs2IBTp07xYjqRjDj9IBERtUQQBGzfvh2//OUvoVAocPDgQYwaNQonT56UuzSrYqhFRESdRkhICFavXo1hw4ZJYwH9vTFsTSR8enu0ebuG9bQAdmoRkfk4/SARtZZoNP2gYOHpB/36eGH0z/rBu2fjMVE3v1IsjzmEsUPuQaF4+s8qlUqH50Yn4I0Fh9HVtwyAvmvr9OnT2LhxI3Jzcy1aMxGZh9MPEhHR4wiCgN///ve4ePEiJk+ejNu3b2PatGkYMGAA3nvvPezbtw+pqakoLy+3m1lGVE9/CxERke1wdnbGvHnzEBUVhb1796K2thYuXk4Y+J1wZF8qQtqxfJOpfcyhcjEKtdipRURmYqhFRK1l0qmlsMw9poJSQN8lofCL9pKmagZEjB18D5NH3YBK1fqLF0HdSvDmooM4+81AnL8+AKKoQH5+PjZt2oQJEyZg4sSJ0kV2IrI+Tj9IREQtedzxmCiKuHfvHn772992cEUdg6EWERF1Sv369UNISAj27NmDlJQUAEDwmAD4hHviwa5M1BSYP4ewynj6QXZqEZGZDKGWjqEWEZlJtPD0g116uqP/yz2hcms8lvH2rMa8KRfQK6igXdtWKXWYMuom+vbKRPypsSgo8YVOp8OZM2dw//59zJ8/H0FBQe39FojIDOzUIiKilohi83NRw01Ooii2+Lo94PSDRETUaXl5eeGVV17BjBkzpBM9j+6uGLoiAkFj/M3ejhM7tYioDbimFhG1lvHPi3ZNPygAkfOCMWhpuEmgNSjqIVYu3t/uQMtYYNdSvBlzCBNH3IRCoe/6KigowKZNm3D8+HFeZCfqAOzUIiKixxEEweTLEGY1HW/vly1hpxYREXVqgiBg9OjRCA8Px65du5Cfnw+FSoHe0wPhF+WFxLgsqCuffLFF+WhNLZ1WB10rpy4kIsfF6QeJqC20Gh2UKgUUyrbdY+rezQUDX+0FZy8naczVpR6zn72C/hEZlirThFKpw6SRt9AnPBPxJ8civ9gPoiji3LlzePDgAebPn4/g4GCr7JuIGju1GGoREdHT2FoAZQ3s1CIiIrvQrVs3vPnmmxg7dqw05tPbE8PWRMK/X5cnftbJRX+PB6ceJKLWkKYfZBhORK1gCMKFNkw/GDatO4atjjQJtHqH5GDVkv1WC7SM9fAvw/KFhzB51A0oFPrjpsLCQmzevBlHjx5FQ0OD1WsgckSGUEun09ntVFJERNR2hu4sa37ZEoZaRERkN1QqFV544QW89tpr8PLyAgA4uanQ78WeiJoXDKVzy7/2DJ1anHqQiFrDcEGanVpE1Bo6rX4KP0Urph908XbCiLejEDq+q3T3rUqpwYzxX+Pbs06ii0etVWptiVIp4tnht/FmzCEEBhQD0F9IuXDhAtavX4/MzMwOq4XIURimHwS4rhYRETU3Y8YM6HQ6q31Nnz5d7m/RBEMtIiKyO+Hh4VizZg0GDBggjXUf5othqyPhFere7P3s1CKituCaWkTUFo2dWuadjgeP9cfI70fDzc9FGgsMKMaKRQcxamAi5Jphprt/Gd5YeBhTn7kO5aOureLiYmzZsgWHDx9m1xaRBRk6tQBOQUhERMRQi4iI7JKbmxsWLVqEBQsWwNnZGQDg6uuMwUvD0XNKNwhGvwHZqUVEbcE1tYioLQw/M57WqeXkocTQlREIfyFQ+nkjCDpMGH4LyxYcQYBvhdVrfRqFQsT4YXexYvEBBHUrksYvXbqEdevWIT09XcbqiOwHQy0iIqJGDLWIiMhuCYKAIUOGYPXq1QgNDdWPKQT0nNgNg5f1hqufPuxipxYRtYW0phZDLSJqBcP0g8ITQq1uQ30w6od94BnoJo35dqnE0nlHMWXUTSiVOqvX2RpdfSuwbP4RPDf6GyiV+uOpkpISbNu2DQcPHoRarZa5QqLOjaEWERFRI9XT30JERNS5+fr6YunSpTh37hxOnz4NnU4HrxB3DFsViYeHc406tXiCSETm4/SDRNQWUqdWC9MPKl0V6PdiT/iEe5qMD+ubhBfGfQNnJ9vtKlcoRIwbeg/RYdnYe3oMsvK7AgCuXLmCpKQkzJs3D7169ZK3SKJOiqEWERG1ZOLEiRAEAYMHD7bqfl599VWMGTPGqvtoDYZaRETkEBQKBSZOnIiIiAjs2rULJSUlUDorEDU3GF1UvgAAjdp2LxQRke0RFPoL0qLOtjomiMi26bSGUMu0U8uvjxf6xIRC6dwYdrm71mHOpEvo0yu7Q2tsjwDfCrw+7yiu3O6Dk18PgUajQmlpKT788EOMHDkSzz//vDQ1NBGZR6FQQBAEiKLIUIuIiCSnTp3qkP288sorHbIfc3H6QSIicijBwcFYtWoVhg8fLo15dHUFAAgqmVZaJ6JOiWtqEVFbNJ1+UOGkQN8XQ9H/5TCTQCsqLAurX9zXqQItA4VCxJjB97Fy8QH07FEgjV+9ehVr167Fw4cPZayOqHMydGsx1CIiIkfHUIuIiByOs7Mz5s6di5dffhnu7u5QPOq28Ax2Re+ZgVAw3CIiM3BNLSJqC+PpB7v0dMeoH/VBQD9v6XUnVQPmTLyEl6afhodbvVxlWoS/dyVem3cU08d/DSeVviO+vLwcH3/8Mfbt24f6+s79/RF1JJXq0TrAGs4uQUREjo2hFhEROaw+ffpgzZo18PHxAQDodDoEPeOPoSsj4NHdVd7iiMjmcU0tImoLQxDefZgvBi0Nh5Nb41o5Id0LsXLxAQzrlwLBTu6xEQTgmYGJWLl4P8KC8qTxa9euYe3atUhJSZGxOqLOg51aREREegy1iIjIoXl6ejZbtNy9qyuGrOiN4HEB8hRFRJ0Cpx8korYwhFU+vTwhPHqiUOgweVQCXp93FH7eVTJWZz1+3lX4zpzjmDnhCpxUDQCAiooKfPLJJ4iPj0ddXZ3MFRLZNoZaRERkrrq6OhQXFyM7OxuFhYWorq6WuySLUsldABERkdwMJ4aDBg1CQ0MD8vLyoFAqEP58D/hGeiIxLhvqigaZqyQiW8NQi4haRQB6PdcdLr5OJsP+PuVYOPUCAruWyFRYxxEEYOSAJET2zMG+06ORmh0IALh+/TqSk5Mxd+5cREVFyVwlkW1iqEVERC355ptvcPLkSVy9ehV37txBZmYmKioqmr3P1dUVYWFhiI6OxujRozFhwgRMmDBBusmqM2GoRUREDs9wYujl5YU333wTJ0+exPnz5wEAPuGeGL46Esn7c1B0p1zOMonIxnBNLSIyl5u/M/p/Kwxu/i7SmCAIGDXwPp57JgFOTo51kdrHqxqvzD6B6/cicfTScKgbnFBZWYnt27djyJAhmD59Otzc3OQuk8imMNQiIiKD1NRUrFu3Dp9++ilyc3OlcVF8/LlpbW0t7t+/jwcPHmDv3r0AgICAALz44ot4++23ER0dbfW6LYXTDxIRkcPT6XQA9CeKSqUS06ZNw+uvv44uXboAAFRuSvRdHIroBSFQuvBXJxHpcU0tIjJH8PgADHsrSgq0DBcbRvRPxozx1xwu0DIQBGB4/2SsXrIPvUNypPEbN25g7dq1ePDggYzVEdkehlpERJSRkYGlS5ciOjoaf/3rX5GTkwNRFKUvQH/j1JO+jN9fWFiItWvXon///liyZAlSU1Nl/g7NwytzRETk8DQaDQBAoWj8tdirVy+sWbMGAwcOlMa6DfHBsNWR6NLTvcNrJCLbw+kHiehJXLydMGRlb4RP6yGF4ADg5qJfO8pe185qLW+vGnx71knMnXQRLs5qAEBVVRU+//xz7Nq1CzU1NTJXSGQbGGoRETm2//znPxgwYAA+/vhjaLVaiKLYYmgFwCS4Mg68gOahlyiK0Ol02LVrFwYMGIC//OUvcn2LZmOoRUREDs/QqaVSmc7K6+rqikWLFiEmJgYuLvq7q119nDHo9XCETe0mXdAmIsfE6QeJ6HF6jPDFiO9FwSuw8UYYF2c15k85jwDfMgCAyNNxiSAAQ/s+xOol+xDZM1sav3XrFtauXYt79+7JWB2RbWCoRUTkmGpraxETE4Mf/OAHqK6uNgmzHudxYdeT3iuKIurq6vDOO+9gxowZLa7LZSt4FE1ERA7PcGJo3KllbNCgQVi9ejXCwsIA6C9khz7bDYOX94abv3OH1UlEtoWdWkTUlJOnCoNe74XIOcFQqBqPK8KC8rBq8X4Mjk6DQtDfTCOKPB1vqotnLV6ecQrzplyAq3M9AKC6uhpffvklvvrqK1RXV8tcIZF8GGoRETmesrIyTJw4EXv27HlsmNVSV5a5X8aMw62jR49i0qRJyMvL68hv12yqp7+FiIjIvhlODA0nii3x8fHBa6+9hgsXLuDkyZPQ6XTwCnLD0FWRSD2ci7xrpR1VLhHZCK6pRUTGAvp3QdT8YCidG48nlAotpjyTgDGD76Px+oP+ZwZDrZYJAjAkOhW9g/Nw4OwoJKaHAgDu3LmD1NRUzJo1CwMGDJC5SqKOZ5hVwjB1OhER2bfq6mpMnz4d165dAwCTMMsQSLm4uGDw4MEYPnw4IiMj0atXLwQEBMDPzw8uLi5wdnZGQ0MD1Go1ysvLUVxcjIyMDKSkpODGjRu4du2a1JFl2L4h2Lpx4wamTZuGs2fPwtfXt4O/+ydjqEVERA7PnFAL0HdyTZgwAREREdi5cyeKi4uhdFIgck4w/KK8kBSfjYYa3jlJ5CjYqUVEAKByVSJqfhD8+3qbjHfzK8WCqRfQ3b/MZFwh6I8VGGo9mZdHLV6cfga3k3vh8PmRqK13QU1NDb766ivcvXsXs2bNgoeHh9xlEnUYdmoRETmWN954A19//XWzMMvd3R1LlizBkiVLMHXqVLi6urZ5HzqdDpcuXcLu3bvxySefID8/36Rj6+7du1i4cCFOnDjx2NmN5GA7lRAREcnE3FDLIDAwEKtWrcLIkSOlMb8+XTBsTRR8ozytUiMR2R7h0UG9YV0+InI8vpGeGPH9qCaBloixg+9iecyhZoEWAAicftBsggAMikrD6hf3oU+vDGn87t27+O9//4vbt283mzqHyF4x1CIichwbN27Ejh07pEBLFEW4ubnh17/+NbKzs7F161bMmjWrXYEWoL95e9y4cfjLX/6CzMxMrFu3DkFBQdJUhwBw9uxZ/OY3v2n392RJPIomIiKHptPppIsh5oZaAODk5ITZs2fjW9/6lnSXsLOnCgO+3QsRswKhUD1+EU4isg9Sp5aWF1SJHI3SWYGo+cEY8EovOLk1ToDi7VmN78w9hmljr0OlbDnwFoRH0w/ydNxsnu51WPLCWcQ8dw7urnUA9Ium79y5E19++SWqqqpkrpDI+hhqERE5hsLCQrzzzjsmgda4ceNw+/Zt/OY3v4G3t/dTttA2KpUKK1euxN27d/Haa69JwZYoivjggw9w//59q+y3LXgUTUREDs34pLA1oZZBdHQ01qxZg+joaGkscJQ/hq6MgEeP9t0xQ0S2jWtqETmmLj3dMeJ7Ueg+1HRtgUFRD7Fy8X70Cip44ucFTj/YJoIADIhMx+oX96Ff73Rp/P79+/jvf/+LmzdvsmuL7BpDLSIix/CXv/wFpaWN67YvWbIEJ0+eRK9evTpk/15eXti2bRt+//vfS8GWRqPBL37xiw7Zvzl4FE1ERA6tvaEWAHh4eODll1/G7NmzpQWc3bu6YsibEQgZHwCwaYvILglKhlpEjkRQCug9owcGLQ2Hs5eTNO7mUo9F085iwdSLcHVpePp28KhTi6FWm3i41WPx8+ew6PkzUtdWXV0ddu/ejc8//xyVlZUyV0hkHQy1iIjsX2VlJdatWyd1aU2ePBnbt2+Hk5PTUz5peb/85S/xk5/8BKIoQhRF7Nu3D/fu3evwOlrCo2giInJolgi1AEAQBIwcORKrVq1CYGAgAEChFNBrWg8Mei0cLt4dfwBCRNZlmH5Qx1CLyO55BrpixHcjETQ6wGSx7t4hOVi1ZD/6R2Q84dOmDGtq6RhqtUv/3plY8+I+DIhMk8YSExOxdu1aJCQksGuL7A5DLSIi+7d7925UVVVBFEV4eXnh008/bde1qvb64IMPMHToUOn5pk2bZKvFGI+iiYjIoVkq1DIICAjA8uXLMWHCBGnMu5cHhq2ORNeB1pn3mIjkwekHieyfoAB6Tu6GIW9GwNXXRRpXKTWYMf5rfHvWSXh51LZum49CLa6p1X7ubvWIee48lrxwGh5u+v8PdXV12LNnD7Zv346KigqZKySyHIZaRET2b+fOnQD0N07/7Gc/Q48ePWStR6lU4s9//rP0/KuvvpKxmkY8iiYiIodm6VDLsJ3nnnsOS5culRbwVLkq0WdRKKJjQqB04a9fInsgMNQismtuAS4YsjISPSd1k/6+A0BgQDFWLDqIUQMTIbRhimEp1GKnlsX0Dc/Cmhf3YVBUqjSWnJyMtWvX4ptvvmHXFtkFwzTnWq2Wf6aJiOzU2bNnAQBOTk5YvXq1zNXoTZs2Df369YMoisjKykJycrLcJTHUIiIix6bT6S8sCYIAhcKyvxbDwsKwevVqDB48WBrrNsgHw9ZEokuYu0X3RUQdj6EWkZ0SgOCx/hi2OgKe3V0bhwUdnh1+C8sWHEaAb9s7gBhqWYebqxoLpl7ASzNOwcu9BgBQX1+PvXv34tNPP0V5ebnMFRK1j/ENeOzWIiKyP4mJiSgrK4MgCJgwYQL8/f3lLkmyaNEi6fHly5dlrESPR9FEROTQDCeE1pqj2NXVFQsXLsSiRYvg6qq/MObq7YxBr4cj7LnuJnd+E1HnwjW1iOyPi48TBi8LR/gLgVAoG0+XfbtUYum8o5g86iaUyvb9nVeAoZY1RYdlY9WL+zEkOkUaS0lJwdq1a3H16lV2uFCnxVCLiMi+paQ0Hrs8++yzMlbSnPESG0lJSTJWoqeSuwAiIiI5WTvUMhg4cCBCQ0MRFxeHtLQ0CIKA0Ald4RvhiQe7slBbVG/V/ROR5XFNbTmprQAA/DJJREFULSL70n24L3rP6AGlk+kxwbC+SXhh3DdwdtJYZD/s1LI+Nxc15k25hP4RGdh3ZjQqq92hVquxf/9+3L17F3PnzoWvr6/cZRK1CkMtIiL7lpmZKT3u06ePjJU0Z1xPRkaGjJXo8SiaiIgcmuGE0NJTD7bE29sbr732GqZNmybtzzPQDUNXRiBwlJ/V909ElsXpB4nsg7OnCv1fCUPU3GCTQMvDrRYvTT+FOZOuWCzQAoxCLbBb29oie+Zg9ZJ9GNa3ce2H1NRUxMbG4sqVK+zaok6FoRYRkX2rrKyUHnfr1k3GSpozrqeiou3TcFsKO7WIiMihdVSnloEgCBg/fjwiIiKwc+dOFBUVQemkQMSsIPhGeSFpTzYaqi134YyIrIfTDxJ1fgEDvRE5JxAqF9NT4+iwTMyZdBkebpbvpG7s1OqYYw9H5+rSgDmTLqNf73TsPzMG5VUeaGhowMGDB3H37l3MmzcPfn68uYhsH0MtIiL7VltbKz12c3OTsZLmDMtpAPo1S+XGTi0iInJoHR1qGfTo0QMrV67EM888I435RXlh+JpI+EV7dWgtRNQ2gsBOLaLOSuWmRJ/Foei7KNQk0HJSNWDOxEt4cfoZqwRaACBwTS1ZRITmYdWSfRjRP1EaS09Px7p163Dp0iV2bZHNM55ZgqEWEZH9MQ6yjAMuW1BXVyc9dnFxkbESPR5FExGRQ5Mr1AIAJycnzJw5E9/+9rfh4eGhH/NQof+3whAxJwgKJ05LRGTLpOkHeSGUqFPxjfLC8O9GousAb5PxkO6FWLn4AIb1S4FgxV/BjZ1a/D3f0VycNZj17Nd4dc4x+HhVAQAaGhpw+PBhbNu2DcXFxTJXSPR4giBI5ywMtYiI7I+XV+MNzgUFBTJW0pxxPV26dJGxEj2GWkRE5NDkDLUMoqKisGbNGpOFNwNH+GHYqkh4BtlWyzkRNZJCLS1DLaLOQOmsQOS8YAz4dhicPZykcYVCh8mjEvD6vKPw866yeh2GUEvH6QdlEx6cj1VL9mPkgAfSWEZGBtatW4eLFy9Cp9PJWB3R46lU+s5SjYbTlRMR2ZuePXtKjx88ePCEd3a8+/fvS4+N65QLQy0iInJothBqAYCHhwdeeuklzJkzB05O+gttbv4uGPxGb4Q82xVcS57I9kihFqcfJLJ53r08MOytSPQY5msy7u9TjjcWHMazw+9AoeiYv8tSpxZPx2Xl7KTBzAlX8Z25R+HbRb8wu0ajwZEjR7B161YUFRXJXCFRc+zUIiKyX1FRUdLjM2fOyFhJc+fOnZMeG9+QLRceRRMRkUOzlVAL0E8pMmLECKxatQpBQUEAAIVSQK+p3TFoaThcfJyesgUi6kgKTj9IZPMUKgG9Z/TAoNfD4ertbPLaqIH3sSLmIAK7lnRoTZx+0Lb0CirAysX78czA+wD0P8+zsrKwbt06nD9/nl1bZFMYahER2a+IiAgEBARAFEWcP3/epm6w2blzp/R49OjRMlaix1CLiIgcmi2FWgb+/v544403MHHiRAiPFvXw7umBYasj0W2wj7zFEVEjgZ1aRLbMM9gNQ1dHImh0gMm4l3sNvj3rOGaMvwYnp46/MKyQQi3bOfZwdM5OWkwff+3RFJQVAPTHiMeOHcPmzZttbl0LclwMtYiI7NvkyZMB6Nf83LBhg7zFPHL8+HHcv38fgiAgNDQUvXv3lrskhlpEROTYbDHUAvT1TJkyBUuXLoWPjw8AQOWiRPTCEPRZFAqVq23VS+SI2KlFZJsEhYCeU7phyBu94e7vYvJav97pWLVkPyJC82SqDgAMoRZPx21Nz8BCrFx0AGMG34WhaysnJwcbNmzA2bNn2bVFsmOoRURk31588UUA+nPMP//5z8jLk/OYVf/75uc//7n0fMmSJTJW04hH0URE5NBsNdQy6NmzJ1avXo0hQ4ZIY10HemPYmkh49/KQsTIi4ppaRLbHvZsLhrzZGz0ndpP+jgKAi7MaC6aex6Jp5+DmqpaxQqNOLS6YaZOcnLR4fux1LJt/BP4+5QD0x4snTpzApk2bkJ+fL3OF5MgYahER2be5c+eiW7duEAQBlZWVePXVV2X9mf/LX/4S169fB6BfMmP58uWy1WKMoRYRETk0Ww+1AMDFxQULFizA4sWL4erqqh/r4oRBr4ej1/M9ICh5UYyooxlfLGeoRWQDBCB4fACGroiAZ6CbyUthQXlYtXg/BkWlGWYNlZXA6Qc7hZAeRVix6CDGDrkj/T/Lzc3Fhg0bcPr0aYYKJAuGWkRE9s3FxQVvv/22NBvIyZMn8corr0Cj0XR4LX/605/w17/+FYIgQBAEzJ49G3379u3wOlrCUIuIiByaYRoZWw61DAYMGIA1a9YgPDxcGgsZF4Chb/aGe1eXJ3ySiCyNoRaR7XD1dcbgpeEIn9YDClXjKa5SocW0MdfwnTnH4e1VI2OFphpDLZ6O2zonlRbTxiRg2YIjCPAtA6A/djx16hQ2bdok+5RA5HgYahER2b8f//jHCA0NBaCfhnDHjh2YOnUqMjIyOmT/VVVVWL58OX71q19BEASIogiVSoU//elPHbJ/c/AomoiIHJrhbheFonP8SuzSpQu+853v4IUXXpBOaj16uGHoyggEPuMnc3VEjsO420PHUItINj1G+mHY6kh06Wk6JW83v1IsjzmEsUPu20R3ljFBWlPLxgqjxwruVowViw5i/LDbUiiZl5eHjRs34uTJkwwYqMOoVCoAkOWOfSIi6hhubm74z3/+A1EUpVDp3LlzGDBgAN5//31UVFRYZb9arRZbtmxB//79sW3bNoiiKNXws5/9zGa6tACGWkRE5OAMnVqGE8TOQBAEjB07FitWrEC3bt0AAAqVAhEzgzDglTA4eXae74WoszLp1BIZahF1NGcvFQa82guRs4OgdDY+rRUxdshdLI85hO7+ZXKV90Ts1OqcVEodpj5zA8sXHkZXvzIA+uPIM2fOYMOGDcjJyZG3QHII7NQiInIMc+fOxfe//30pVAKA6upq/OY3v0FISAiWL1+Ow4cPo76+vl37EUURly9fxjvvvIOePXtixYoVyMrKkvZruP70/vvvW+Lbshhe9SIiIodmOCHsLJ1axrp3744VK1bg2LFjuHz5MgDAN9ILw9dEInlvNorvV8pcIZH9Eox+ZnD6QaKO1XWwDyJmBkLlajp1sLdnNeZPuYCwoAKZKjOPIdTSwfanPqbmAruWYEXMQZz9ZgDOJwyETqdAQUEBNm3ahPHjx2PSpEmd6mYp6lwYahEROY6///3vSEtLQ3x8vBRsiaKIqqoqbNu2Ddu2bYOLiwuGDh2KYcOGISoqCmFhYQgICICfnx9cXFzg5OQEjUYDtVqN8vJyFBUVISsrCykpKUhISMDVq1elzi/DzZrG+4qOjsaePXts7poZj7SIiMihGU4IO8OaWi1RqVSYMWMGoqKiEBcXh6qqKji5q9DvpTDkfVOCh4fyoGvQyV0mkd0xns5M5F8xog6hclcicnYQAvp7N3ttcPRDTB93Fa4uDTJU1jqNnVqcfrCzUip1mDzqFvqGZyH+1BjkF/tJUwM9ePAA8+fPR3BwsNxlkh1iqEVE5DgUCgW++OILvPTSS1KwZRw4AUBdXR0uX74s3ejcWsazjgiC6Wwkffv2xeHDh+Hv79+O78I6bCtiIyIi6mCdPdQyiIiIwJo1a9CvXz9prMdwPwxbHQHPYDcZKyOyTwql0QE/O7WIrM6vjxeGvxXVLNByc6nHoufPYP6Ui50i0AKM19Ti6Xhn1yOgFMsXHsKkkTegUOiPKQsLC7F582YcO3aM6x6RxTHUIiJyLC4uLti1axe++93vNgugDF+Gta/a8mW8HQNRFDF58mScP38eoaGhcnzbT8WjaCIicmj2EmoBgLu7O5YsWYJ58+bB2dkZAODm54Ihb/RG6MSuAG8IJ7Ic44N+HVu1iKxF6aJA1Pxg9H85DM4ephONRITkYNWS/ejfO1Om6tqmsVOr8x97EKBUipg44jbejDmEHgHFAPQXg86fP4/169cjM7Nz/fkk28ZQi4jI8SgUCvz73//GV199BX9//2ZrOhsHU639MiaKIlQqFd5//30cP34cvr6+HflttgpDLSIiclg6nU46GLCHUAvQH8wMGzYMq1atQkhIiH5MISBsSncMXtYbrr7OMldIZB8UCuM72WQshMiOeYd7YPiaKHQfanpCrVJpMGP81/jWrJPw8qiVqbq2UxhCLd5tYle6+5fhjQWHMWVUApSPuraKioqwZcsWHDlyBA0NnaOTkGwbQy0iIscVExODxMREvP3223BycmoWbhlrqSvrae+dPXs2bt26hf/3//5fs8DL1jDUIiIih2V8MmgvoZaBn58fli1bhkmTJkkHI11C3TF0VQS6DfWRtzgiO2AyPQOnHySyKIWTgN4zAzHotXC4eDuZvBbYtRgrYg5i1MBE2Pi59uMJnH7QXimVIiYMv4M3Fx1EUNciafzixYtYv349MjIyZKyO7AFDLSIix+bj44P/+7//Q3p6Ov7f//t/CAsLazG8elJXlvF7vb29sXz5ciQkJGDv3r2Ijo6W61trFdXT30JERGSfdEZThtlbqAXoW9QnT56MyMhI7Nq1C6WlpVC5KBE9PwR+UV5I3pcDTS1PiInaQlAw1CKyBq8QN0QvCIGbv4vJuCDoMGHYHTw7/BaUys79d07BUMvudfMrx7IFR3DpZj+cujoYWq0SxcXF2Lp1K0aPHo2pU6dKU0UTtYZKpb+Mx1CLiMixde/eHe+//z7ef/99JCQk4OTJk7hy5Qru3LmD9PR0VFZWNvuMi4sLQkNDER0djVGjRmHChAmYNGmS9LulM+l8FRMREVmI8cmgQmG/F5ZCQkKwatUqHD58GNevXwcABPT3hleIO5L2ZKHsYbXMFRJ1Pgy1iCxLUAroObkbQsYFmPz9AgDfLpVYMOUCQnoUPebTnYsAhlqOQKEQMW7oXUSHZSH+1BhkF3QFAFy+fBmJiYmYN28eevXqJW+R1OkYd2qJomjz00MREZH1DR06FEOHDjUZq6mpQU1NDerq6uDk5AR3d3d4eXnJU6AVMNQiIiKHZc/TDzbl4uKCefPmISoqCnv37kVtbS1cujhh4HfCkX2pCGnH8iFqeWGeyFzGF911DLWI2sWjuyuiFwTDo4dbs9eG90vC82O/gbOTRobKrENgp5ZDCfCtwNL5R3Hldh+cvDIEGq0KpaWl+PDDDzFq1ChMmzaNXVtkNsM5iyiK0Ol0dn8OQ0REbePu7g53d3e5y7AahlpEROSwHCnUMujXrx9CQkKwZ88epKSkAACCxwTAJ9wTD3ZloqagXuYKiToHk06tJyy6S0RPIAAh47ui5+SuUChNAx4Pt1rMmXgZ0b2yZSrOeqRQC0qIIjrv2mBkNoVCxJjB9xHVMxt7T49BZl43AMDXX3+NpKQkzJs3D+Hh4TJXSZ2B8TmLVqt1mHMYIiIiY7w1jIiIHJbxmlr2PP1gU15eXnjllVcwY8YM6UTYo7srhq6IQNAYf5mrI+ocTBbaZacWUau5+jlj8LLe6PVc92aBVnRYJlYt2W+XgRbQGGo9eiZbHdTx/H0q8drcY3hh3FWoVPruw7KyMnz00UfYt28f6ut5cxE9WdNQi4iIyBGxU4uIiByW4URQoVA43Hz0giBg9OjRCA8Px65du5Cfnw+FSoHe0wPhF+WFxLgsqCvtZ6onIkvjmlpEbRf4jB96TesBpZNpmOWkasD08dcwtE+KXXcvGYdaOlEBpcAL045EoRAxetADqWsrI7c7AODatWtITk7G3LlzERERIXOVZKsYahEREbFTi4iIHJjhRNCRp+3o1q0b3nzzTYwdO1Ya8+ntiWFrIuHfr4uMlRHZNgVDLaJW06/l2AsRM4OaBVoh3QuxcvEBDOtr34EWAAhoDLW4rpbj8vOuwmtzj2HG+K/hpGoAAJSXl+OTTz5BfHw86urqZK6QbBFDLSIiIgfo1Pr4449RVFSEefPm8W4nIiIyYZh+0JGmHmyJSqXCCy+8gMjISMTFxaGyshJObir0e7En8q+X4uGhXGjVuqdviMiRGP3YYKhF9HTdhvig94xAqFxNbyRRKHSYNOImxg29C4XCMf4uKQSGWqQnCMCogYmI7JmNfafHIC2nBwDg+vXrSElJwZw5cxAVFSVzlWRLGGoRERHZaKfWxYsXMXz48Md+nThxwuxt3bx5Ez/96U8RHR2NuXPn4vLly1asnIiIOhN2apnq3bs31qxZg/79+0tj3Yf5YtjqSHiFuMlYGZHtMQ7DRdExLsQTtYWThxL9XuqJ6AUhzQKtAJ9yvLHgECYMv+MwgRYAwDjUss1Tcupgvl2q8eqc45j17BU4O+m7tioqKrB9+3bs2bOHXVskEQRBOndhqEVERI7KJju1/vWvfyEhIQGCIEgXCQyPBUFAWVlZq7Zn2MaBAwdw8OBB/PCHP8Qf/vAHODs7W7p0IiLqRBhqNefm5obFixfj5s2bOHDgANRqNVx9nTF4WW9kni1E5pkCiGzaIjKZHo2dWkQt8+/XBZGzg+Dk0fy0c9TA+3hudAKcVI53UZadWtQSQQBG9E9CRGgO9p8ZjYdZgQCAhIQEqWsrOjpa5irJFiiVSmi1WoZaRETksGzuCDovLw+7du0yCbEEo6sGbb0T1rANnU6Hf/zjH5g3bx7UarVFaiYios7JcCLo6NMPNiUIAoYMGYLVq1cjNDRUP6YQ0HNSNwxe1huufrwphEgwXlOLmRaRCaWrAtELQ9DvxZ7NAi0v9xp8e9ZxzBh/zSEDLYBratGT+XhV49uzTmDOxEtwcdZfs6isrMRnn32G3bt3o7a2VuYKSW7s1CIiIkdnc0fQX331FRoa9O32hmBLFEUMHDgQv/3tb3HixAnMmjXL7O29/vrr+MUvfoGIiAgpJBNFEUePHsVrr71mrW+DiIg6AcOaWuzUapmvry+WLl2KKVOmSDeHeIW4Y9iqCHQf5itzdUTyMgm12KlFJPGJ8MTwNVHoNtin2Wv9e6dj1ZL9iAjN6/jCbIjATi16CkEAhvVLwaol+xEZmi2N37x5E2vXrsX9+/dlrI7kZjh30Wg0MldCREQkD5s7gt63b5/0WBRFREZG4uDBg7hx4wb+53/+B5MnT4arq6vZ2xs4cCD++Mc/IjExEbt27ULPnj2lbe/YsQM7duyw+PdARESdA6cffDqFQoGJEydi+fLl8PPzAwAonZWImheMfi/2hMqN/+3IMRlCLQZaRHoKJwUiZgdi4Ku94NLFyeQ1F2c1Fkw9j5hp5+DmytkyBK6pRWby9qzByzNPYd7ki1LXVlVVFb744gvs3LkTNTU1MldIcmCnFhEROTqbOoKura3F6dOnpbvBR40ahcuXL2P69OkW2f6CBQuQkJCAcePGAdAHW//zP/9jkW0TEVHnw1DLfMHBwVi1ahWGDx8ujfn364LhayLhE+EpY2VE8jCEWjqGWkToEuqOYasjEDjSv9lrvYLysGrxfgyKSjNZi86RsVOLWkMQgCF9HmL1i/sQ1TNLGr99+zbWrl2Lu3fvylgdyYGhFhEROTqbOoK+desW6uvrIYoi3Nzc8OWXX8LX17LTG3l7e2PPnj0ICgoCAKSkpODo0aMW3QcREXUOhukHuaaWeZydnTF37ly89NJLcHd31495OWHgq73Qe0YgFCperSTHYbgJi51a5MgEpYBe07pj0LJwuPm5mLymVGjx/NhreHXOcXh7sZvEmHGopWOoRWbq4lGLl2acxvwp5+HqUg8AqK6ulmagqa6ulrlC6igMtYiIyNHZ1BH0jRs3AOgvErz66qsICwuzyn78/f3xq1/9Snp+6NAhq+yHiIhsGzu12qZv375Ys2YNIiMjpbGg0f4YsiICHt3NnyKYqDOTph8UGWqRY/Lo4YqhKyMQMr6rFPIadPMrxfKYQxgz+D67s1ogoDHUAkMtagVBAAZHp2H1kn3o0ytTGr979y7Wrl2L27dv8/eSA2CoRUREjs6mjqAfPHggPZ47d65V9/XKK69Id+ZfvnzZqvsiIiLbxFCr7Tw9PfHtb38bM2fOhEqlAgB4dHPFkBW9ETy2+fRTRPaGnVrksAQgdGJXDHkzAh7dmt7IIGLskDtYHnMI3f3L5KiuU2CnFrWXl0cdlrxwBgufOwc31zoAQE1NDXbu3IkdO3agqqpK5grJmgzH3gy1iIjIUankLsBYSUmJ9HjYsGFW3Ze3tzeio6Nx//59pKenW3VfRERkmzj9YPsIgoBnnnkG4eHh2LVrF/Ly8qBQKhD+QiB8o7yQGJcNdUWD3GUSWYWgZKhFjsfN3xnRC0PgFeze7DVvz2rMn3IBYUEFMlTWuZisqWVb95lSJyIIwMDIdPQKysfBc6NwP7UnAODevXtIS0vDjBkzMGjQoGadlNT5sVOLiIgcnU0dQZeXl0uP/f2tf5d39+7dAQClpaVW3xcREdkedmpZRteuXbF8+XKMGzdOGvMJ98Tw1ZEIGNBFxsqIrEehYKhFjiVotD+GropsMdAaHP0QKxfvZ6BlJoVxqMVOLWonT/c6LHnhLBZNOwv3R11btbW12L17N7744gtUVlbKXCFZGkMtIiJydDbVqaXRaEweu7i4POHdlttfQwPvIicickQMtSxHpVLh+eefR2RkJOLi4lBRUQGVmxJ9F/dEQVQpUg7mQluve/qGiDoLTj9IDsLF2wlR84PhE+7Z7DU3l3rMmngZ/XtntvBJerzGnxsMtchS+kdkICwoH4fOj8TdlF4A9Es8pKenY8aMGRg8eDC7tuwEQy0iInJ0NnUE7enZeKKUnZ1t9f3l5OQ02y8RETkOTj9oeeHh4Vi9ejUGDhwojXUb4othqyPRJbT53f1EnZXUqSUy1CL71X2YL4atiWwx0IoIzcGqJfsYaLWBIAAC9BejGWqRJXm41WPRtPNY/PwZeLjVAgDq6uoQFxeHzz77DBUVFTJXSJZgCLWMbwwnIiJyJDZ1BN2zZ0/p8cmTJ626r/T0dKSlpUEQBJP9EhGR42CnlnW4ubkhJiYGCxculLquXX2cMWhpOMKmdoNgU0cfRG1juNmdnVpkj5w8Vej/ck9EzQuGysX0d6RKpcGM8V/jWzNPwsujTqYKOz/DuloMtcga+vXOxOoX92FgZKo0lpSUhLVr1+L69eu8IaOTY6cWERE5Ops6gh48eLD0eMuWLVbd1+bNm6UDuSFDhlh1X0REZJsYalmPIAgYPHgwVq9eLd08IigEhD7bDYPf6A03f2eZKyRqH4FrapGdCujfBcPXRMKvT/M1EQO7FmNFzEGMGpgIzmLWPoKg/9kh2tYpOdkRd1c1Fj53AS9OPwVPd33XVn19PeLj4/Hpp5+arGlOnQtDLSIi6mjbt2/H+++/j/fff1/uUgDYWKg1efJkaY7nq1ev4p///KdV9nPjxg38+c9/NtkvERE5Hk4/aH0+Pj54/fXXMXXqVOm/s1ewO4aujESPEb4yV0fUdsKjP886hlpkJ1SuSvSJCUHfJT3h5G669LIg6PDs8FtYNv8wAnw5fZklCAKnH6SO0adXNlYv2YfB0Q+lsZSUFKxduxbXrl1j11YnxFCLiIgMPvroI3z00Uc4fvy4Vffz8ccf47333sNvfvMbq+7HXDZ1BB0YGIhnn30WoihCFEX8/Oc/x3//+1+L7uPy5cuYOXMmGhoaAACurq6IiYmx6D6IiKhzYKdWx1AoFHj22WexfPly+Pv7AwCUzgpEzglGv5d7wsmd//2p8zFMo8lOLbIHvpGeGPZWJLoO8mn+WpdKLJ1/BJNH3YRSyT/vlsLpB6kjubmqMX/KRbw84yS8PGoAAGq1Gvv27cMnn3yCsrIyeQukVmGoRUREBkuXLsWyZcvwt7/9Te5SOpTNHUH/+Mc/BqCftkij0eD73/8+5s6di+vXr7dru/n5+fjRj36EyZMnIy8vD6IoQhAELFu2DF26NJ9ag4iI7B9DrY4VFBSElStXYsSIEdKYf58uGLYmCr6RnjJWRtR60vSDvMZPnZj+BoMgDHilF1y8nJq9PrxfElYuPoCQ7sUyVGffBOh/eOgYalEHigrLweol+zC0T7I09vDhQ8TGxuLrr79m11YnwVCLiIgcnerpb+lY8+bNw6RJk3D69GkIggBRFHHgwAEcOHAAQ4YMwZw5czBhwgT06dMHYWFhj91OUVERHjx4gKtXr+LAgQM4c+YM1Gq1FGaJoggfHx/87//+bwd+d0REZEsM0w8y1Oo4zs7OmDNnDqKjo7Fnzx7U1NTA2VOFAa/0Qs7XxUg7kgedhhdUyPYZpsxmpxZ1Vl16uiN6QQhcfZuvcejhVos5ky4jOixbhsocgzT9oO3dZ0p2ztWlAXMnX0b/iAzsOzMaFVUeUKvVOHDgAO7evYt58+bB15dTRNsyhlpERNSRTp06hWvXrsldhgmbC7UAYMuWLRg5ciTKysqkAAoAEhIScOPGDel9zs7O8Pb2hoeHB9zc3KBWq1FdXY3KykpUV1ebbNOwDcP2BEHA+vXr0a1bt477xoiIyGaIosg1tWQUHR2NNWvWID4+HklJSQCAoFH+8OnlgQe7slCdVydzhURP1tipxVCLOhdBKaDXc90RNMZfCmeNRYdlYs6ky/Bwq5ehOschCPqfHZx+kOQSEZqL1Uv24dil4fjmXhQAIC0tDbGxsXjuuefwzDPPtPgzguRnCLV0Op10fYuIiBxbWloaSkpK4OfnZ7FtajQa/M///A/+9re/2dx5r00eQYeHh2PXrl1wc3MDoA+ipLthH623JYoi6uvrUVBQgNTUVNy9exfJycnIzc1FVVWVyfsMv+SNf9H/7ne/w+LFi2X5/oiISH7GdzayU0senp6e+Na3voXZs2dDpdLfZ+Pe1RVD3uyN4PEBAM/PyYYpFOzUos7HM9AVw1ZFIHhsQLOLoM5ODZg76SJenH6GgVYH4JpaZAtcnDWYPfEKXpl9HN6eVQCAhoYGHDp0CNu2bUNJSYnMFVJLjM9dDDfpERGRY3vw4AEGDRqEo0ePWmR7iYmJGDNmDP7617/a5O8amz2CnjRpEo4dO4aQkBCTLqvHfZnzuiiKcHFxwfr16/HLX/5Stu+NiIjkZ/xLmaGWfARBwMiRI7Fq1SoEBgYCABRKBcKn9cCg18Lh0qX5Gi9ENoGhFnUiggLoOakbhrwZAfeurs1eD+leiJWLD2Bo34fgDf8dQ4FH0w8y1CIb0DskD6uW7MfI/onSWEZGBmJjY3Hx4kWbvJjlyIxnmeAUhEREZJCbm4uZM2fixz/+MdRqdZu3s379egwfPhzXr1+32Y5gmz6CHjNmDG7cuIGFCxdKHVeP86T/uIbPDho0CF9//TVWrFhhjXKJiKgTMT4B5PSD8gsICMDy5csxYcIEacy7lweGrYlE14HeMlZG1DJ2alFn4RbggsHLI9Bzcjdp2kwDhUKHKaMS8Pq8o/DtUiVThQ6K0w+SjXFx1mDms1/jO3OOwcerEoB+2qEjR45g27ZtKCoqkrlCMjDMcAAw1CIiIj3DdS2dTof/+7//wzPPPIO7d++2ahslJSVYuHAh3nrrLdTU1NhsoAXYeKgFAD4+Pti5cyeuXLmCxYsXQ6FQmEwr2JKmUw+OHTsWO3fuREJCAgYMGNDB3wEREdkiTj9oe5RKJZ577jksXboU3t76IEvlqkSfRaGIXhgCpYvNH7aQA5FmAmCoRbZKAILH+mPYqgh4Bbk1eznApxxvLDiECcPvQKHgn+OOpjBMP2j7p+TkYHoF52PVkv0YNfC+NJaZmYn169fj/Pnz7NqyAezUIiKipp5//nn8+9//hqurK0RRxM2bNzFq1Cj897//NevzR48exaBBgxAfH99sKaenNRvJQfX0t9iGkSNH4ssvv0RRURFOnz6Ns2fP4tq1aygsLERxcTHKy8vh4eEBPz8/+Pv7Y8CAAXj22WcxadIkREREyF0+ERHZGIZatissLAyrV6/GwYMHcfPmTQBAt8E+6BLmjsTdWahIr5G5QiJIHS+2dnBPBAAuPk6IXhAC7zCPFl9/ZuB9TB2dACcVL4bKhWtqkS1zdtJixvhr6Beeib2nx6C0wgsajQbHjh3DvXv3MH/+fHTt2lXuMh2W8bkLQy0iIjL47ne/i8mTJ+Nb3/oWbt++jdraWnz/+9/HwYMHsXXr1hZ/dzc0NOAXv/gF/vWvf0k3rhh3Z4miiFdffRWpqak4f/58h30vT9NpQi2DgIAALFq0CIsWLZK7FCIi6sSM7zLl9IO2x9XVFQsXLkRUVBT27duH+vp6uHo7Y9Dr4cg6X4SMkwXskCFZCZx+kGxU9+G+6D29B5TOzW/Y8HKvwbwpF9E7JE+GysiYAIZaZPvCggqwavF+nPx6CC7f6gtAQHZ2NtavX4/Jkydj3LhxPI6WAUMtIiJ6nAEDBuDq1av46U9/iv/85z8AgIMHD2LQoEHYunUrZs6cKb337t27+Pa3v41bt241m2pQFEV4e3tj3bp1eOmll0w+Zwt49EFERA7JcAIoCAJPxm3YwIEDsWbNGvTq1QuA/v9X6ISuGPJmb7gFuMhbHDk0hlpka5w9Vej/7TBEzQ1uMdDq3zsdq5bsZ6BlIxo7tWxznQIiAycnLV4Y983/Z+++46I68/2Bf840eu+9oyAIglIUAbErCBqTmGLv+W3u3Za9m+zdTe5usru5e+/eu+Vmk90kpmeTGFTsHXvvXVGxgQ07RcrM7w+cw4x0ONM/79eLl/jMzDlfEIdzzud8nwczCtfB0+0BgObj6I0bN+Kjjz7CzZs3TVyh7dE9f2GoRURk27Kzs5GdnY3+/fuLYyqVCn/+85+xYsUK+Pj4QKPR4ObNm8jPz8err76Kuro6/OUvf8GgQYPaDbSGDh2KI0eO4PnnnzfFl9Upi+vUIiIikoL2BJBTD5o/Nzc3TJ06Fbt27cKmTZugVqvhHOCA5HlRKF9/HZX77pi6RLJB2lBLzVCLzIB3ghuixgVA6dD69M5OVY+xWfuQEF0OM13n2SaJoRZ4HEKWIcT/NuZNXoUt+/tj99G+0GhkqKiowAcffICcnBwMGTKEx9VGJJfLoVarucYZEZGNKy0tbfexcePG4ejRo5g+fTrWrl0LjUaD9957D1988QUePHggTqWvu3aWQqHAW2+9hddff10v6Orfvz/q6uoM+rV0B0MtIiKySQy1LItMJsOQIUMQGRmJ4uJi3L59G3KlDFHjAuER7YJzJVfRUM07Vcl4tMf37NQiU1I4yBE1PhA+/dzafDw88Dom5O6CmwvXIjQ32lBLzekHyYIoFU0YkXEIcRGXUVKaidv33KBWq7F582ZxrS1/f39Tl2kT2KlFRERd4evri9WrV+NPf/oTXnvtNTQ1NeH+/fsAWq+dFR0dja+++goDBw5stZ13333XaDV3BY+giYjIJmnvauTUg5YlICAA8+bNw6BBg8Qxz1gXDFgYA89YFxNWRrZGePLeob27jcjYPGJckPJKdJuBllzWhJGZB/By/kYGWmaK0w+SJQvyq8LcZ1ZhcPIJ8Wf5+vXr+Mc//oHS0lIGLUagUDTfo87vNRERdaampgZHjhxBY2MjgOYwS7c7CwBmzZqFw4cPtxlomSOL7dSqrq7GsWPHcOfOHdy7dw/37t3DK6+8YuqyiIjIQrBTy3IplUqMGzcOMTExWLZsGaqrq6FyUiD+hTBU7r+Di+sqoW5g0ECGxU4tMhW5SoaIMQHwH+DR5uO+nncxcfgO+HreN3Jl1B0CtKEWj0PIMikUagxPP4y4yOaurVt33KFWq7FlyxacPn0ahYWFCAgIMHWZVoudWkRE1BX79+/HSy+9hLKyMgiC0Gr9LEEQkJqaij/96U9wdHQ0YaXdY1Gh1oYNG/DVV19h7969OHPmTKu5g9sKtaZMmQKZTIbnn38ehYWFxiqViIjMHEMtyxcTE4OFCxdi+fLlOHPmDAAgYKAn3MKdcLb4Ch5Vms98z2R9BPmTO9u4lAUZkVu4E2IKg2DvrmrjUQ0yk04id9BRKOT8wTR3LZ1a7BgnyxbocwdzJq3GtoMJ2HGoHzQaGW7cuIF//OMfyMrKQnZ2tthVRNLRnsMw1CIism2//vWvAQDR0dF48cUX9R77/e9/jzfffBONjY1imPV0h5YgCDhw4AAGDBiAL774Amlpacb9AnrIIo6g//a3vyE2NhajR4/Gp59+ipMnT6KpqQkajUb8aM/9+/fxzTffYNKkSYiPj0dxcbERKyciInPF6Qetg5OTE55//nnk5+dDqVQCABy97dB/dhSCh/oAnNWJDEQm04Za7NQiw5MpBESM9kfi9Ig2Ay0350eYVrABIzIOM9CyEDJtqMVfVGQFFHI1hg06itmT1sDP6w6A5otl27Ztw9///ndUVFSYuELrw1CLiIgA4K233sJ//Md/4IsvvhDHrl27hry8PPziF79AQ0MDAOiFWQqFAu+88w4+/fRTuLi4QKPRoKysDFlZWXjnnXfazFpu3bqFy5cv4/Lly8b5wjph1lfyLl26hGHDhuEHP/gBysrK9AIsbbKo2y7XHu3rTp8+jWeffRazZs1CbW2tocsnIiIzxk4t66Ftl58/fz4CAwMBADK5gPA8PyTOiICdu9LEFZI1Ek8KGGqRgTkHOiB5fjSCMrzbfLx/7HnMm7wKYYE3jVwZ9UZLpxaPQ8h6BHjfxeyJa5GdehQyWfPP+K1bt/Dhhx9i48aNXIdSQgy1iIioLYsXL0ZSUhK2bNnSaqpBjUaDmJgY7NixA6+//jqmTp2KQ4cOITMzEwDQ2NiIX/3qV8jNzcWVK1f0tjtt2jREREQgMjLSqF9Pe8w21Dp16hQGDhyIrVu36rXHdTXI0tK9A187b+Snn36KwsJCMakkIiLbw1DL+nh5eWHWrFkYOnSoeKzgFuqEAQui4dPf3bTFkdURZPrTNhBJTZAJCB3mi6TZkXD0tmv1uIPdY0weuRWFw3bD3o7nNZamZU0tsz0lJ+oRuVyNnIHHMHvSar2ure3bt+PIkSMmrs56MNQiIiJd1dXVmDNnDp5//nncuXOnzUBr9uzZOHToEAYOHCiOR0REYNu2bfjVr34l/m7Zvn07+vfvj3/+8596++hsxjxjMssj6KtXr2L06NGoqqpq8x/g6Y+OFBcXY/ny5Rg/fjyAlmBr48aNmD9/vkG/DiIiMl+cftA6yeVy5OXlYcaMGXB3dwcAKOzk6DMxGH2eCYHcnv/eJA12apEhOfrYIWlOJEKzfcUAVVdUSAXmP7sCcZFX2ng1WYKWTi1OP0jWqbrGHtW19npjTk5OJqrG+jDUIiIiXdu3b8eiRYvaXDvLw8MDixcvxj/+8Q84Ojq2eq1MJsNbb72FrVu3Ijw8HBqNBvfv38dLL72E6dOn49GjR8b+cjpllld2Zs+ejatXr4r/ANrwytnZGTk5OXj11Vfxu9/9Dn/961+RkJDQ4bbs7Owwfvx4LF++HDt37kR0dDQAiB1bmzdvNsaXREREZoadWtYtNDQUCxYsQFJSkjjmk+CGlAUxcAvnBRXqPXZqkUEIQNBgbyTPi4JzgEOrhxWKRozN2osXxm6Gi1OdCQokqXD6QbJWDQ1yrNk+EF+tGo5HNc0XzhwcHDB58mTExMSYuDrroT2H0d6oR0REtk2bnzzdHJSXl4ejR49i0qRJnW4jMzMTR44cwcsvvyy+/osvvkBSUhIuXrxosNp7QmHqAp62YcMGrF+/Xi9NHDBgAN544w3k5+fDzk5/6o3ly5fj+PHjXdp2eno69uzZgxEjRuDgwYPQaDT4xS9+gZ07d0r+dRARkXljqGX97OzsUFRUhJiYGKxYsQJ1dXWwc1MiYVo4ru26jUubbkLTxECCekYbaqn5M0QSsfdQIaYoCG6hbQfvHq4PMWXsZni7PzRyZWQI2lBLbZ73mRL1SOUtTyzZNBhV99zEsaioKBQWFsLFxcWElVkf7WwT7NQiIiIArcIslUqFt99+Gz/96U+7tR1nZ2d89tlnGD9+PBYuXIh79+6hvLxc4mp7z+yOoN955x0ALeni22+/jf379+OZZ55pFWj1hLu7O5YsWQI3t+aDrD179uDkyZO93i4REVkWTj9oO/r164eFCxciIiICQPPBXvBgHyTNiYSjT++PLcg2iVPCsVOLJOA/0BMDFkS3G2gBwN0HLth/vA/qG8zuvkTqAW2oBU4/SFZArRaw7WA/fLx0tBhoKRQKjB07Fi+99BIDLQPg9INERNQWjUaDvn37Yvfu3d0OtHQ9//zzOHz4MIYOHWqWs5OY1ZW8Bw8eYMeOHeK0g7/73e/wxhtv6CWNUggJCcGPf/xj8e8lJSWSbp+IiMwfO7Vsi6urK6ZOnYqRI0eK/+bO/g5ImhuFgDRPE1dHlkjs1OKaWtQLKhcF+r0UhujxgZCrWp+aebg8hEpZL/5934k++OC7cSi/5mfMMskABDzp1OL0g2Th7tx3xqclI1G6LxlqdfP7WEBAAObPn4+0tDTJr+dQM4ZaRESkS9sgNH/+fBw4cADJycm93mZoaChKS0vx9ttvQ6EwrxvrzCrU2rhxIxobGwEAycnJ+NnPfmawfc2aNUv8fN++fQbbDxERmSeGWrZHEAQMHjwYc+bMgY+PDwBArpQhamwg+r0UBqWzeR2kkXkTp8pmqEU95JPohpRXYuAR3bqDQRDUGJx8AgueW4HXZnyHvuGXATT/rN176ILPV4zA6m2D2LVlwVrW1DKrU3KiLtNogEOno/CP78fh6o3m4ypBEDB06FDMnj0b3t7eJq7QujHUIiIiXZ6enli2bBn+9re/wcGh9dq8PSUIAt544w3k5eVJtk0pmNVZ0JEjR8TP58yZY9A7eoKCghAaGorLly/jxIkTBtsPERGZJ04/aLv8/f0xd+5cbNy4EXv27AEAeES7IGVhNM6VXMOdM1yvhjqn7dQyx6kYyLwpHOWIHh8I73i3Nh/3cr+PwtxdCPKrEseeHb0NF676YfH6bDyuVwEA9p+MRdmVQOTn7EZE0A2j1E7SkWlDLbCLhSxPda0dVmxNx9nyEHHMw8MDEydOREhISAevJKkw1CIiIl1paWkoKCgwdRlGY1ZX8m7duiV+Pnz4cIPvLzg4GABw584dg++LiIjMCzu1bJtSqcSYMWPw0ksvwdnZuXnMUYH4KWGILgiETGlWh0hkhoQnPyLs1KLu8OzjgpSFMe0EWhpk9j+Juc+s1gu0tCKDb+Cn079DXMQltHRtOeOLFSOwatsgPK43q/sVqTPs1CILdfZSED74brxeoDVgwADMnz+fgZYRMdQiIiJbZlZnPrqhVmBgoMH3Z2fXvDj8/fv3Db4vIiIyLwy1CACio6OxcOFCLF++HKdPnwYA+Kd4wi3MCWeWXMWja7UmrpDMlUzbqaU2cSFkEeR2MkSOCYBfskebj3u6PcCE3F0I8b/d4XZkMmDyqO0ov+aLb9fliF1bB07GouxyIPJz9iAy+Lrk9ZP0xE4trqlFFqK+QYH1u1Jw8FSMOObo6IiCggL07dvXhJXZJu05jHb2CSIisl3GmD3Ez88PYWFhBt9PV5lVqPX48WPxc2NcZLxxo3maDk49RURkezj9IGk5Ojriueeew6FDh7BmzRo0NDTAwcsOSbMicXnLTVzZdkvbFEEkEp68d2h4MYk64RbhhJjCINi7qdp4VIP0xNMYNugIlMqu320fHnQTP53+HZZsHIKTF8IACLj/yBlfrhyOlLhzGJFxEHaqRsm+BpKeAG2oxekHyfxdveGFZZsG484DV3EsNjYWBQUFYsc7GZf2HIadWkREtm3RokUAmpdaMqRPPvnEoNvvLrMKtVxcWhZJvnLlCmJjYw22r8ePH6O8vBxA89zPRERkW9ipRboEQUBKSgrCw8NRXFyMa9euQZAJCBvmB49oF5wpvoLH9xpMXSaZEe3Sr5x+kNojUwgIH+mPwDSvNh/3dH2AgtzdCA241ebjnW5fBjwzcgdSK87iu7U5qKtvnoXi4KkYnH+y1ha7tsyY0PzeoTGvFQGI9DQ1Cdh2MAHbDyWIU2UqlUqMHj0aKSkpBl0HnTrG6QeJiAgApk+fbuoSTMKsQq3w8HDx8zVr1hg01Fq7di1qamogCAIiIyMNth8iIjJPDLWoLZ6enpg5cya2bduGrVu3QqPRwDXEEQMWROPC6krcPHLP1CWSmRC00w8y06I2uAQ7ILYoGA5edm0+npZwGnlph7vVndWe8MBb+Mn0xViyaQhOntd2bTnhy5XDMaDvOYzIOAR7O4by5kbGNbXIzN2+54Jlmwaj4pa3OBYUFIRJkybB09PThJURwFCLiHrn1AFHjA5MMnUZOKWpAlBn6jKoC/Ly8gAAaWlp+P3vf2/iasws1EpJSRE/f++997BgwQKoVG1N09E7Go0G7777rvj31NRUyfdBRETmjdMPUnvkcjlyc3MRFRWFJUuW4O7du1DYyRFbFAzPGBeUraxAYy0vINg6MdRipxbpEOQCQnN8ETzEW/wZ0eXh+hAFObsRFnhT0v3KZMAzI3ZgUL+z+GZNS9fWodParq09iAqplHSf1Dst0w/yOITMi0YDHDgZg/W7U9DY2HzJSBAE5OTkYOjQoTx2NhPaUEuj0UCtVvPfhYiIDKq0tBSCIMDe3t7UpQCAec11kJubC4Wi+aDp3Llz+PGPf2yQ/bz77rvYtWuX+PcxY8YYZD9ERGSeNBoNO7WoUyEhIZg/fz6Sk5PFMe9+bhiwIBpuEU6mK4zMAkMtepqTnz2S50QiZKhPm4HWwH5nMG/yKskDLV2hAc1dWwnRF6FdDPBBtRO+WpWH5VvSUfdYabB9UzcJXFOLzM/Danv8c3UuVm9PEwMtLy8vzJ49Gzk5OQxOzIjuOQy7tYiIyNaY1RGJp6cnxo4dC41GA41Gg7/97W+YPXs2qqurJdm+RqPBf/zHf+AXv/iFOPezv78/Ro0aJcn2iYjIMmi7tACGWtQxOzs7FBYW4tlnn4WDg0PzmKsSidMiEDHKH4KcFyNtlTa0UDPUIgEIzvJG0txIOPk7tHrY3eURpuZvwNis/VApGw1ejkwGTBy+E9ML18He7rE4fvh0NN7/Lh9llwMNXgN1TuCaWmRmTl0IwQeLx6PsSstC8wMHDsT8+fMNvvg8dR9DLSIismVmdwT9+uuvA2hub9doNPjkk08QFxeH9957Dw8ePOjRNhsbG7Fs2TIkJSXh17/+tRiaCYKAn/zkJ7ygSURkY3RDLd5xSl0RHx+PBQsW6K3DGZTpjeS5UXD0bXvNHLJu2huk2Kll2+w9Veg/MxLhw/0hk7f+fZIafxbzJq9EeNANo9cW6n8bP5m2GIkxF6Dt2npY7YivVw9DSWkGu7ZMjNMPkrl4XK9AyeYMLF6fjdq65imFnJ2d8eKLL2L8+PFQKvleYY50r2PpntsQERHZArNaUwsAMjIyMH36dHz66adisHX16lW8+uqreO2115CVlYWcnBwkJiYiIiIC9fX14mtv376Nhw8f4uHDh6ioqMCJEydw6NAhrFq1Cvfv34fmyUre2osQ8fHx+Jd/+ReTfJ1ERGQ6uncz8sYG6ipXV1e8/PLL2LNnDzZs2ICmpqbm6cbmRqF84w1U7K4ydYlkROL0gxqGWrYqYJAnwkf6Q65sHUq4OVcjP2c3IoOvm6CyFjIZUJS3CwPjz+Kfa3JR+7j5gvWRM1G4cCUA47P3ICaswqQ12iqxU4vTD5IJXa70wbLNg3HvobM4FhcXh/z8fDg6OpqwMuoMO7WIiKxTTU0N/vM//xOHDx9GQkIC/u3f/g0uLi5tPnfs2LFYt26dkSs0D2YXagHAX/7yF+zduxenT59uuQtWo0FtbS02bNiADRs2tHqNRqOBn59fm9vTvdigDcqcnZ3xzTffiGt4ERGR7WCoRT0lCAIyMjIQERGB4uJi3Lx5EzKFDJGjA+AR7YJzy66i/qHhpxcj02Onlu2yc1UipjAI7pHObT6eEncOIzIOwk5lPu8Fwf5V+PG077F8SwaOno0EIOBhjSP+uWYY+seex6jBB+FgV9/pdkg6gtB8LMLpB8kUmppkKN3fHzsPxwNo/n2mUqkwduxYJCUlib/jyHzpzjbBUIuIyDo0NjYiJycHBw8eBAAsX74cK1aswL59+9rtnLbVmyzN8gja2dkZa9asQUREhF53lTaQevpDq63HtNMM6r7e0dERy5YtQ3x8vKm+RCIiMiGGWtRbfn5+mDt3LjIyMsQxjyhnDFgQDa84VxNWRsYidmox1LIpvknuGLAwus1Ay9WpGi+O24Tx2XvNKtDSksmAwmG7MbNoLRzs68Txo2ej8P6343H2EtfMMSYB2k4tszwlJyt2844bPloyGjsP94M20AoNDcWCBQuQnJzMQMtCMNQiIrI+S5YswYEDBwC05BzHjh1DcXFxh6/TzT4M9WFuzPYIOiQkBHv37kV+fn6rTqv2vqmdfdM1Gg3i4uKwe/duDBs2zKhfDxERmQ+uqUVSUCgUGD16NKZOnSpOB6B0VCDuuVDETAiCXMWfLWsmkzPUsiVKJzning9FbFEwFPatb4ZI7lOG+c+uRFRIpQmq655gvyr8eOr3SIotg3atrUc1jvhmTS6WbspEbZ3KtAXaCEHgmlpkXBoNsOdoH3xYPBY3qjwBNB8HDx8+HNOnT4eHh4eJK6TuEARBvDmPoRYRkXW4du2a+LluplFZaf7nGMZm1kfQnp6eKCkpwV//+ld4e3u36szS6iwx1Gg0UKlU+MEPfoD9+/cjISHBkGUTEZGZ0z3xY6hFvRUZGYmFCxfqdYD7DfBA8vxouAQ7mLAyMiTdKbLJunnFuSJlYQy8+rbuwnRxrMELYzejIHcP7O0aTFBdz8hkwIRhezBr4ho46nRtHTsXife/y8eZcnZtGZoYasH87nwl6/PgkQO+XJmHdbsGoqmpOQjx8fHBnDlzkJWVxeNhC8VQi4jIugwdOrTNjCMrK6vT17Y3g51UH+bGIo5cXnnlFVy6dAl/+9vfkJSUBKDr/1BBQUF44403UF5ejj//+c9wcODFJSIiW6c98ZPL5WbZRk2Wx8HBAZMnT0ZhYSFUquYuBwdPFfrPjERori8Eizjiou7g9IPWT24vQ2xRMOKeC4XSqfU6vEmx57HguRWIDq0wQXXSCPK9gx9N/R7Jfc6hpWvLAd+uzcWSjYNRw64tg+H0g2Qsx8vC8MF343HxWoA4lp6ejnnz5iEgIKCDV5K5Y6hFRGRdUlNT8Zvf/EZcQkkQBPzyl7/EwIEDO32tWq026Ie5aX12Zqbs7e0xf/58zJ8/H1VVVdi+fTv279+PW7duoaqqCvfv34eTkxM8PT3h5eWFfv36ITs7GxEREaYunYiIzIz2FzLvSiUpCYKA5ORkhIWFYcmSJbhy5QoEmYDQHF+4RznjbPFV1N2tN3WZJBFtHs5Qyzq5RzojpjAIdq6tF2R2dqxBfvYexIRZbpilSyYDCnL3IrXfOXy9Kg81dfYAgONlEbh4zR/jhu5F34irJq7S+mg7taDhzTVkGLWPVVizfSCOl7VcE3FxcUFRUREiIyNNWBlJhaEWEZH1eeONN/Dcc8/h6NGj6NevH/r06WPqksySxYRaury8vFBYWIjCwkJTl0JERBZIt1OLSGoeHh6YMWMGtm3bhi1btkCj0cA12BEDFkThwprruHHorqlLJAmInVrMtKyKTClDxEg/BAzyavPxxJgLGD3kABzsrC+gDvS5ix9N/R6rtqfh0KloAAKqax3w3boc9Isux5gh++Bob31ft6loQy01eCxC0rt4zQ8lmzPxoNpJHEtISMC4ceM4e40VYahFRGSdoqOjER0dbeoyzJpFhlpERES9wVCLDE0mkyEnJwfR0dEoLi7GnTt3IFfJETMhCJ4xLji3/Boaa3kBwpIJTzo9zXEqBuoZlxBHxBYFwcHTrtVjTg61GJ+9F33CrbtjSSYD8rP3IjXuHL5eNQzVdc0Xv0+UhaP8mh/GZu1DXOQVE1dpHcQ1tdipRRJqbJRh095k7DkWJ47Z2dlh/PjxSExMNGFlZAgyHosQEZGNYqhFREQ2RxtqcfpBMrSgoCDMnz8fa9euxcGDBwEAXnGucAl2wNll13Dv/CMTV0g9Ja6TxutIFk+QCwgb5ougwd5trrOYEH0Ro4fst6kupQCfu/jh1GKs3j4IB0/FQNu1tXh9NuKjyjF2yH44Ojw2dZkWTbumFrimFknkepU7lm4cglt33cWxiIgIFBYWws3NzXSFkcGwU4uIyLb1798fdXV1RtlXdnY2BEFA//79jbK/zjDUIiIim6O9m5GdWmQMKpUKBQUFiImJQUlJCWpra6FyUSLh5XBU7LmN8g03oG7kHHaWRjv9oJpralk0J397xE4MhpOvfevHHGptej0pmQwYn70PqXHn8NXqPFTXNndtnTwfjvJr/hg7dC/i2bXVY2KnFhhqUe+o1QJ2H43D5n39oVY3H9vK5XIMHz4cGRkZbYb1ZB0YahER2bZ3333XaPsqLS012r66gqEWERHZHE4/SKbQt29fBAUFoaSkBGVlZQCAwHRvuEU442zxVVTfMM4dViQN7UVCDUMtyyQAIVk+CMnxhUze+oIvu5Fa+Pvcww9fLsaaHYNw4GRz11ZNnT2+X5+Nk5GXMDZrH5z4feo2bacWpx+k3rj30AnLNmficqWfOObn54dJkybB19fXhJWRMTDUIiIiW2URodatW7dw69YtVFdXo6GhAQ4ODnByckJQUBCcnJw63wAREZEOTj9IpuLi4oIXX3wR+/btw/r169HY2AgnX3skzYnEpU03cG1XlalLpC7SdmppNAy1LI2DlwqxE4PhEuTY6jFH+zp2ILVBJgPGDd2H1Piz+GpVHh7VNH/vTl0Iw6WK5rW24qMum7hKy9KyphaPRaj7NBrg6LkIrNk+CPUNSnF88ODBGDZsGBQKi7jUQ73EUIuIiGyV2R3p1NTUYOXKlSgtLcWuXbtw5syZDueG9PT0RHJyMjIzMzFmzBgMHjzYiNUSEZEl4vSDZEqCICAtLQ3h4eEoLi7GjRs3IFPIEDEqAB4xLji79BrqHzSYukzqhBhqsVPLogSmeyFsuB/kytZBQt+Iyxg3dC+7jjrg53Uf//rSEqzdmYr9J/pA7NraMBQnL7BrqzsYalFP1dSpsHJrOk5fDBXH3NzcMHHiRISFhZmwMjI2hlpERLbpzp07uHHjBh48eABvb2/4+/vbXOOP2YRaR44cwX/913+huLhYDLG6cudrVVUVNm3ahE2bNuGdd95BQEAAFixYgFdeeQWenp6GLpuIiCwQpx8kc+Dr64s5c+Zg8+bN2LlzJwDAPcIZKQuiUbbiGm6ffGDiCqkjMoZaFsXOTYmYwiC4Rzi3eszBvg5jh+xHfNQlcOmZzslkwNisA0iJK2vVtVVe4cfvZRdxTS3qibLLAVi+JUP8fwcASUlJGDNmDOztW68NSNaNoRYRke3Yvn07Pv/8c6xYsQLXr19v9XhiYiImTJiAuXPnIiQkxAQVGpfJj6ArKiowZcoUpKSk4KuvvkJtbS00Go0YaAmC0OmH9vkajQYVFRV48803ER4ejj/84Q9obGw08VdIRETmRtupxekHydQUCgVGjhyJadOmwdXVtXnMQY6+z4YitigIchV/Rs0VO7Ush98ADwxYGN1moNUn/DIWPLsS/aIZwnSXtmsrLeEU8GR9qNo6exRvzMLi9UPxqIYX2DsiQNupxR886lxDgxyrtw/E16tbgmQHBwc8++yzKCoqYqBlo7TnMtpzGyIisj7Xrl3DM888g5ycHHz44YeorKzUy0K0H0ePHsU777yDvn374s0337T6TMSkV0qWLFmCfv364bvvvhP/AZ4OrAC0+Q/VUfCl0Wjw6NEj/PznP0dGRgbKy8tN+FUSEZG5YacWmZuIiAgsWLAA/fr1E8d8kzwwYEE0XENar/tDpicepzLUMltKJwXip4QiZkIQFHb67/f2do9RlLcDz47aBmfH9qc6p47JZMDoIQex4NkVcHGqFsdPXwzF+9+Nx/GyMHDZuXYIzd8YdmpRZypueeIfxWOfTPnZLDo6GgsXLkR8fLwJKyNTY6cWEZF1O3XqFDIyMrB06dJ2s5OnM5Ta2lq8/fbbyM/PR01NjYm/AsMx2RH022+/jcmTJ+P+/ft6/yBt6ahLq6PnazQaHDx4ECkpKdi1a5chvxwiIrIg7NQic+Tg4IBnnnkGEydOhJ2dHQDA3kOFxBkRCB3mC4E/rmZF7NTiFXuz5B3vipRXouHZx7XVY7FhV7Dg2RVIjClnd5ZEfDwf4IcvL0V6on7X1pKNWfhuXTa7ttrQsqYWfwipbWq1gG0HE7Bo6WhU3XMD0NzhPXbsWLz44otwcXExcYVkagy1iIis15UrV5CdnY1r1661yk7aavx5uuFn/fr1KCgosNrzVZNcHnnrrbfw5ptvdhhmddSd1VHXli7ttu/du4fRo0djx44dxvjyiIjIzGlDLXZqkbkRBAH9+/fHggULEBravAC8IBMQmu2L/rMiYe+pMnGFpKU9fFWzU8usKOzl6DMpGH2fDYXSUX/5YHvVYxQO24HnRm+FixO7swxh1OCDWPDccrjqdG2dKQ/B+9/m49i5cHZt6RCg/WbIGGxRK3fuO+PTkpEo3ZcEtbr5sk1gYCDmz5+PtLS0dm/wJdvCUIuIyDppNBpMmzYNVVVVbWYnnTX+aIOt0tJSvPvuu8Ys3WgUnT9FWl988QV+/etft/kN1wZT0dHRyMvLQ3JyMuLj4xEYGAhfX1/Y29tDqVSirq4O1dXVqKiowOXLl3H06FHs3bsXpaWlePCgeVF13W0LgoBHjx6hqKgI+/btQ3h4uNG+XiIiMj/aEz92apG5cnd3x/Tp07Fjxw6UlpZCrVbDJcgRA+ZH48LaStw4eNfUJdo8Qfv+wVDLbHhEOyN6QhDsXJStHosJvYbx2Xvg4lRrgspsi4/HQ/zry0uxbtcA7DkaB0BA7WM7LN00BCfPh2Lc0L0MFQHIhJaL0BqNAEHgewkBGg1w6HQU1u1MRUNj83uZIAgYOnQosrOzeUMW6WGoRURknT777DNs2bKl3eykI9rXaIOtt956Cy+//DKCg4MNUqupGDXUOnv2LObNm9fmP4ibmxvmz5+PmTNnok+fPu1soZmDgwMcHBzg7e2N/v37Iz8/H0DzL/JVq1bhH//4B1auXCl2ggHN/5BVVVV49tlnsWfPHl7IJCKyYezUIksgk8kwdOhQREVFobi4GFVVVZCrZIgpCIJnjAvOLb+GxhpexDAVQd58jMlOLdOTq2SIGOUP/1TPVo/ZqeoxevAB9I+9wKkGjWxU5iGk9C3Dl6vy8OCRMwDg7KUQXL7ui9GD93P6R50Qq3ldLbXpaiGzUF1rhxVb0nH2Uog45uHhgYkTJyIkJKSDV5KtYqhFRGSd/vSnP+n9XaPRwNHRES+//DJGjBiB1NRUeHl5wcnJCffu3UNFRQV27dqF4uJirFu3Ti97aWhowHvvvYff/va3xv4yDMqoyc7s2bNRV9dyV55Go4FMJsNrr72G8vJy/P73v+800OqIXC5HQUEBSkpKcODAAQwZMqRVgnnw4EH813/9V4/3QURElo+dWmRJAgMDMW/ePKSmpopjXn1dkbIwGh7RziaszLZpzxM0DLVMyjXUEQMWRLcZaEWFVGDBsyuQ1IeBlql4ezzEv760DJn9T0C71lbdYzss2zwE36zNwcNqB9MWaEKCTojF6QfpbHkQ3v82Xy/QSklJwYIFCxhoUbsYahERWZ99+/bh8OHDYqeVRqPBpEmTcPnyZbz//vuYPHkyIiIi4OrqCrlcDi8vLyQmJmLevHlYs2YN9u3bh+joaLHZR6PR4MMPPzT1lyU5o13NKy4uxo4dO/QWNAsMDMT27dvx7rvvws3NTdL9JScnY9u2bfjd737Xqu3unXfeQVVVlaT7IyIiy8FOLbI0KpUK+fn5mDJlChwdHZvHnJXo91I4IscGQKbgBVFjE2TaY1oTF2KjBLmAiFH+SJwRAXsP/bXm7FT1KMjZhRfGboarM6cbNAcjMg9j4fMlcHN+JI6duxSM978djyNnI2zy/5Eg6IZavMnGVtU3KLBiSxq+WZuLmjp7AICjoyOmTJmCgoICqFRcS5Pap71BT3tuQ0RElq+0tFT8XBAEzJs3D4sXL4anZ+ub+NqSmpqKvXv3om/fvuJYVVUVjh07JnWpJmW0o+f/+I//ED/XaDSIiorCnj17kJ6ebtD9/tu//Rv++c9/6l24fPToEf77v//boPslIiLzxU4tslR9+vTBwoULERMTI44FpnkheV4UnPztTViZ7RFv1OKFJKNzDrDHgPlRCMr0bjWteWRwJeZPXonkvuzOMjfe7o/wLy8tw+Dk4xC0XVv1dijZPBjfrMnFAxvr2hJaTT9ItubqdW/8ffE4HDrd8js9NjYWr7zySq9msCHboVA0ryjS1NTUpXVWiIjI/O3atQtAc37Sp08f/N///V+3t+Hm5obFixdDEATxfEm7XWthlKPnnTt34tixY2KnlKenJ9avX4+goCBj7B6TJ0/G3/72t1Ztd42NjUbZPxERmRd2apElc3Z2xgsvvIBx48aJFzMcfeyRNCcSQUO8AV7INwqxU4uZltEIMiA0xxdJc6Lg6KMf4qqUDRg/dA9eHLcJbi41JqqQumJ4+hG88nwJ3F10urYuN0+9duRMpM10bXH6QdvV1CRg877++KRkJO4+cAEAKJVKFBQUYMqUKXBycjJxhWQpdG/QY7cWEZF1OHPmDIDmmyh//vOf9/i6VXx8PCZPnize9KDdrrUwSqi1aNEiABBDpY8++gjh4eHG2LVo9uzZePnll8V/yKqqKixfvtyoNRARkXlgpxZZOkEQMGjQIMybNw8BAQEAAJlchogR/kicFgE7V6WJK7R+MjHUspEr8Cbm4G2H/rOjEJrrKwaKWhFBlZj/7EqkxJexO8tCeLo/wqsvLsOQAcfErq3H9SqUlGbin6tz8eCR9Xdt6U8/yJtsbMXtey5YtGw0th9MFKedDA4OxoIFC5CSktKq+5SoI7oXOrmuFhGRdbh79y6A5nP+goKCXm2rqKio1XathVGu5q1cuVJsdxs7diwKCwuNsdtW/vjHP8LNzU08UGSoRURkm7R3MjLUIkvn4+OD2bNnY8iQIeKYW7gTBiyMhk+CtOuVkr6WNbUYahmUAARlemHA/Ci4BOoHHUpFA8YN3YuXxm+Cu0u1iQqk3shLO4pXpiyDu8tDcazsShDe/y4fh09bd9eWXqjFFlurp9EA+47H4h/fj0PlLS8Azcehw4YNw8yZM7u8TgaRLoZaRETW5+7duxAEAZGRkfDw8OjVtnSXfWKo1U3Hjh3D9evXxRP+X/3qV4beZbu8vb3xyiuvQKPRQKPRYN26dSarhYiITEd70sfpB8kayOVyjBgxAtOnT4ebW3OQpbCXo88zIYidGAy5HcNbQxDYqWVwdu5KJE6LQMSoAMgU+j/H4YHXMf/ZlUiNP8fuLAvn6VaNV18sQVbKMTHoeVyvwvItmfh61TDcf+Ro4goNQ9uhBkDs2CHr9LDaAV+vGoY1OwahsbF52mAvLy/Mnj0b2dnZvMmKeoyhFhGR9Xn8+DEAwNfXt9fb8vHxabVda2Hwo6e9e/cCaG6ZGzBgANLS0gy9yw698sorYqdWZWUlrl27ZtJ6iIjIuLQ3NgDs1CLrEh4ejgULFiAxMVEc8+3vjgELouEaZp0XhU1JezypZqhlEH4pHkhZGA23cP21ZZSKRowZsg8v52+Ehyu7s6zJsEFH8f+mlMDD9YE4dv5qIN7/Nh+HTkVZXdeWbqcWuKaW1Tp1IQQffDce568GimODBg3C/PnzERgY2MEriTrHUIuIyHq5urr2ehvOzs4SVGKeDH417/Dhw+LnEydONPTuOhUUFKTXenfkyBETVkNERMame8LHTi2yNvb29pg0aRImTZoEOzu75jF3FRKnRyBsuF+rtYio58TvpbVdaTcxlbMC8S+GIaYgCHKV/nt0aMANzJu8EoMSzrI7y0p5uFbjBy8sR3bqUTH0qW9QYsXWDHy1ahjuP7SegF5/+kHeZGNt6h4rsWxzJhavz0bt4+bfx87OznjppZcwbtw4KJVc+5J6j6EWEREZS2RkJCIjIzFr1ixTlwIAUBh6B2VlZeLnubm5ht5dl+Tl5WH37t0AgHPnzpm4GiIiMibteloAO7XIeiUmJiIkJARLly7FpUuXIAgCQrJ84BHpjDPFV1BbVW/qEi2abjjITi3pePdzQ9T4ACgd9E9RFIpGDE87jEEJZxhm2YicgceQFHseX6wcjrsPmu9SvXA1EO9/l4+RGQcxIK7M4n8WOP2g9bpU4YtlmzNx/1HL3dFxcXHIz8+Ho6P1BLNkeoIgQCaTQa1W653jEBERSa28vByCIOD69eumLgWAEUKtiooKAM2/bFNTUw29uy4ZNGiQ+DmnHyQisi3s1CJb4e7ujmnTpmHnzp3YvHkz1Go1nAMdkDw/GhfXXcf1/XdMXaLF0ut4Y6jVawoHOaLGBcInwa3VYyH+N1GQuxtebg9NUBmZkrtrDX7wwnJsPZCArQcSodHIUN+gxMpt6Th5IRT5OXvg7mK5U1DqdWox1LIKjU0ylO7rj11H4gE0/55QqVQYN24c+vfvL05bSyQlbajFTi0iIrIlBg+1bty4AQDw8/ODvb29oXfXJVFRUeLn2vqIiMg2sFOLbIlMJkNWVhaioqJQXFyM27dvQ66UIXp8IDxjXHCu5CoaqnkRpLvYqSUdjxgXxEwIhMpZfyouhbwRw9KOIC3hDGQyfo9tWXbqcSTFXsAXK4fjzv3mrq2L1wLwwXfjMSLjEFLizllk1xanH7QuN++4YemmwbhR5SmOhYaGYuLEiXB3dzddYWT15HI5GhsbGWoREZFNMXioVVNTA0EQEBQUZOhddZluLTU1NSashIiIjI2dWmSLAgICMG/ePKxfvx779u0DAHjGumDAwhiUlVzDnbPsgukO3QvoGoZaPSJXyRAxJgD+AzxaPRbsdwsFubvg7c6fS2rm5lKD/zdlObYd7Ict+/uLXVurtqXh5PlQFOTutriuLf1OLQtM5QhA87KKe471xaa9yWhqaj6ulMlkyMvLQ2ZmJm+gIoPTns8w1CIiIlti8FCrtrYWAODk5GToXXWZbi2PHz82YSVERGRs7NQiW6VUKjFu3DjExMRg2bJlqK6uhspJgfgXwlC5/w4urquEuoEBTVcIOu8dGg2/Z93lFuaEmKIg2Lur9Mbl8iYMG3QE6Ymn2Z1FbRqacgL9Yy7iy5V5qLrfPF1leYU/3v+2uWsrNd5yura4ppblu//IESWbM1Fe4S+O+fj4YNKkSfD39+/glUTSYahFRES2yOChVlNTEwRBgIODg6F31WUqVcsJdGNjowkrISIiY2OoRbYuJiYGCxcuRElJCc6ePQsACBjoCbdwJ5wtvoJHlXUmrtD8sVOrZ2QKAWHD/RCU4d3qsUDf25iQuws+Hg9MUBlZEjeXGrwyZQW2H4xH6f4kaDQyNDQqsXp7Gk5dCEV+zm54uJp/15b+9IMWksSR6HhZGFZvG4S6ejtxLCMjA8OHD4dCYfDLLEQihlpERNbp2LFjmDVrltluz9R4tEVERDZFe8Ink8m4YDfZLCcnJ0yZMgUHDx7E2rVr0dDQAEdvO/SfHYXLpTdxdcctgFlNu2TylvcOjbqDJ5LIOdABsROD4ehtpzculzUhZ9BRZPY/xe4s6paslJPoH3sBX64cgdv3Wrq2PvhuPIanH8bAfmfNvGuLnVqWqPaxCqu3DcKJ8+HimKurK4qKihAREWG6wshmaUMt3Rv3iIjI8lVUVODTTz+VZFsajUbS7ZkDhlpERGRTtCd87NIiWycIAlJTUxEeHo7i4mJUVFRAJhcQPtwPHtHOOLvkKh7fbzB1mWZJkOmGWryI1BFBJiAkxwchWT563zcACPCpwoTcXfD1vG+i6sjSuTrXYeHzK7DjcBw2700Wu7bW7Bgkdm15uj0ydZltEgRAQBM0kDPUshAXr/phWelgPKx2FMcSExMxduxYs5qZhmyL9pyGnVpERNZF6mnurW3afIZaRERkU7QnfNq7GolsnZeXF2bNmoUtW7Zg+/bt0Gg0cAtzwoAF0Ti/qgK3jjFweJpul6ea0w+2y9HHDrETg+EcoH+xVyZrQk7qMQxOPsnuLJLEkORTSIy5iC9XDsftu+4AgEuVfvj74vHISz+EQWbatSUIGmg07NQydw2Ncmzem4Q9x+LEMXt7e4wfPx4JCQkmrIyI0w8SEVkrc5tZyNxCMYZaVmzt2rWYO3curly5Io4tWrQIM2bMMFoNVVVVOHDgAM6dO4f79+9DoVDA09MTffv2RWpqqkHvaLtx4wY+/PBDrFy5EmVlZXjw4AF8fX2RkpKCZ599Fs8//zznOyeyQezUImpNLpcjLy8P0dHRWLJkCe7duweFvRx9JoXAM9YFZSsr0FTHjiQtvY4j8zq2Nw8CEJTpjbBhvpAp9N9r/b2rMCF3N/y87pmmNrJark51WPjcSuw80heb9gx40rWlwNonXVsF5ti1JagBDaABj0nM1fXbHliyabAYlgJAREQEioqK4OrqarrCiJ7g9INERGSLjHZF39oWIzNn9+/fx49//GN8/PHHJtm/RqNBcXEx/vrXv2Lbtm3t3jHk6OiIgoIC/OhHP0J6erqkNfz1r3/FG2+8gYcPH+qNX7lyBVeuXMGyZcvw29/+Fh999BEyMjIk3TcRmTd2ahG1LzQ0FPPnz8eaNWtw5MgRAIBPgjtcQ5xwdulV3C+vNnGF5oGdWu2z91AhpigIbqFOeuMyWROyU49jcNIJyOX8npHhDE46jcSYcny5YjhuPQkiLlf64YPF45GXdhhpCWfMpmtLQPNFaI3GTAoikVotYNfROJTu6w+1uvmYUS6XY8SIEUhPTze7u6fJdnH6QSIi62RnZwc/Pz9TlyG6dOmSqUvQY7RQy9oWIzNXq1atwrx583Dt2jWT7P/cuXOYMWMGdu7c2elza2pq8M033+Cbb77B9OnT8ec//1mSu91++MMf4k9/+lOnzzt58iTy8vLw3XffYfz48b3eLxFZBnZqEXXM3t4eRUVFiImJwYoVK1BXVwc7NyUSpoXj2s7buLT5JjRNth1K6HVqMdQS+Q/0RMQof8iV+u+vfl53MGHYLvizO4uMxMWxDgueW4ndR/pi454BUGtkaGxUYN3Ogc1dW7m74eX2sPMNGZggNL9/sFPLvNx76IRlmwbj8nVfcczf3x8TJ06Er69vB68kMj5OP0hEZJ1yc3OxatUqU5chMrdraEYLtcxt3kVrc/fuXfzwhz/EZ599ZrIaSktLMXHiRNy7d08cEwQBEyZMQGFhISIjI9HQ0IDjx4/j888/x8GDB8Xnffrpp9i3bx9Wr16N0NDQHtfwl7/8pUuBllZtbS2ef/557Ny5E/379+/xfonIcmhDLXZqEXWsX79+CAkJwdKlS3Hx4kUIgoDgIT5wj3TGmeKrqL392NQlmowgZ6eWLpWLAjETguAR7aI3LpOpkTXgOLIGnIBczmmRyPgykk4jIaYcX67Mw807HgCAK9d98ffvxmFY2hGkJZwx6bpugsBOLXOi0QBHz0ZizY6BqG9QiuNDhgzBsGHDeOxIZkl7kZHTDxIRkS0xWsQmCIJZfViTkpIS9OvXTy/QcnZ2NmoNe/bsQX5+vl6g5e/vj23btmHp0qWYOXMmcnJyMGLECPzwhz/EgQMH8N577+mtaXXy5EmMGDECt27d6lENV69exWuvvaY3FhwcjA8//BAVFRV4/PgxTp06hZ///OdQqVTic6qrqzF9+nQGr0Q2QnsXo7ndZUJkjlxdXTF16lSMHDlSvJjnHOCA5HlRCEjzNHF1pqN7LGnrxw8+iW5I+X8xrQItX8+7mDVxDXIGHmOgRSbl7FiH+c+uwqjM/ZA9CZEamxRYvysVn5aMRNU9l062YDgt0w/ymMTUamrtsHj9UJSUZoqBlru7O2bMmIERI0Yw0CKzxU4tIiKyRTx6tmB37tzByy+/jMLCQlRWVorjzz33HDZt2mS0Om7fvo1nnnkG1dUt62y4ublh06ZNGDJkSLuvW7hwYat1v86dO4eXXnqpRxeI/vCHP+Dx45a7xuPj43HgwAHMnj0bAQEBUKlU6Nu3L373u99h3bp1sLe3F597+PBhLF++vNv7JCLLw04tou4RBAGDBw/GnDlz4OPjAwCQK2WIGhuI+BfDoHQ2WuO/2dCdflBjo51aCkc5+j4bgj6TQqCwa3k/FQQ1hqYcw5xJaxDgfdeEFRLpS+9/Bv/68vfw87wjjl294YO/Lx6HXUf6Qq02/o2PLZ1aPC03pbLLgfhg8XicvtgyY0hycjIWLFiAsLAwE1ZG1DntOQ07tYiIyJYY7SoEFzeTVllZGbKysnDjxg1xzM/PD++99x4mTZqE8vJyo9Xy6quvtlrD649//CPi4uI6fe3UqVOxevVqfP311+LY+vXr8be//Q2vvPJKt+pYsmSJ+LlMJsM333zT7pznOTk5eOedd/CTn/xEHCsuLsaECRO6tU8isjzs1CLqGX9/f8ydOxcbNmzA3r17AQCeMS5IWRCNc8uv4c4Z069PYyx6nVo2GGp59nFBzIQgKB31TyV8PO6hcNguBPjcaeeVRKbl7FiPec+uxt5jsVi/K7V5ra0mBTbsTsWpC6GYkLsb3h4PjFYP19QyrYYGOTbsTsH+k7HimIODAwoKCrp0LktkDrTnNOzUIiKyHuY6G4g51WW0UIuLm0nr6tWreoHWiy++iD//+c/w8vIyah3btm3DP//5T72xfv36YcaMGV3exm9/+1ssXrwYDQ0N4tgvf/lLvPjii3B3d+/SNq5evYorV66Ifx82bBgSEhI6fM3ChQvxi1/8AnV1dQCAHTt2dLlmIrJc2rsYLf33AJEpKJVKjB07FjExMVi2bBkePXoEpZMC8VPCcP3gHVxYcx3qBuu/U1hmo51acjsZIscEwC/ZQ29cENQYnHQS2QOPQcGpBskCpCWeRb+ocny1ajiuV3kAEHDtpg/+/v04DBt0BOmJp42y1lbL9IPWNT2+Jai46Yklm4bgzn1XcSw6OhoTJkyAi4vppqQk6i5OP0hEZF3MtfPW3OriFT0LFxAQgGXLluHLL780eqAFAG+//XarsVdffbVbF4vDw8NRUFCgN3bnzh289957Xd7G9evX9f4+YMCATl/j4OCA+Pj4drdBRNZJe8LH6QeJei46OhoLFy5E3759xTH/FE8MmB8F50AHE1ZmJDqHObYSarlFOCHl/0W3CrS83e9jZtE65KUfYaBFFsXJsR5zJ6/GmCH7IJM1Hxs0NTV37nyybCRu3XXtZAu9J3ZqcfpBo1GrBWw9kICPl44WAy2FQoFx48bhxRdfZKBFFofTDxIRkS3i0bOFEgQB06ZNw4kTJ0w2Zd7p06exbt06vTGFQoHnnnuu29t66aWXWo399a9/7fLdRk8/r6uhmu5FbR4EEtkGdmoRScPR0RHPPfccCgoKoFQqAQAOXnZImh2JkGwfwIobD3TfP8xpCgZDkCkERI4NQOK0CNi5qMRxQVBjcPIJzH1mFYJ8q0xYIVHvDEo4hx+9XAx/7yoAzf+fr930wT++H4edh+MNutaWdk0tnpYbR9V9F3yybBS27E8Sg8TAwEDMnz8fgwYN0ptalshScPpBIiKyRba3sreVyMrKQk5Ojklr+Pzzz1uNZWZmwsPDo41nd2z06NFQKpV6UxBWVlZi48aNGDVqVKevf3rtrBMnTnT6moaGBpw5c0b8uzmt+UZEhsNOLSLpCIKAlJQUhIWFYcmSJbh27RoEmYCwYX7wiHLGmSVX8fheQ+cbsjCCjUw/6BLkgD7PhMDeQ6U37uV+HxNydyHYj2EWWQdHh3rMfWYN9p+IxtqdA6FWy9HUJMfGPQNw6mIIJuTugo8B1tri9IPGodEAh05FY92uVDQ0Nl8CEQQBQ4cORXZ2No8JyaJx+kEiIrJFRgm1zPUOVnOtqyvM4cB7yZIlrcaGDh3ao205OTlhwIAB4sLzWkuXLu1SqBUWFgZPT0/cudO8MPm6detw8eJFREREtPuaL774Ag8etJycDho0qEe1E5FlYacWkfS8vLwwc+ZMbN26Fdu2bYNGo4FrqBMGLIjGhdWVuHnknqlLlJTuzfxqKwy1BLmA0BxfBA/x1gvwAA0y+59CzqCjUCp48Yysz8B+ZYiPuoyvVuah8rYnAAEVN73xj8XjkDPwKDKTTkm61pa2U0utMf25nbV6VGOPFVvSce5ysDjm6emJiRMnIjg4uINXElkG7TkNZ54hIqLemjt3bqc3SQiCgI8++shIFbXP4KGWuf5iNde6LMXVq1dx6tSpVuMpKSk93mZqamqrUGvt2rVdeq1MJsPYsWPx5ZdfAmjuwpoyZQrWrVsHNze3Vs8/cuQIfvSjH+mNFRUV9axwIrIo7NQiMgy5XI5hw4YhOjoaS5Yswd27d6GwkyO2KBieMS4oW1mBxlrrCEL0gh4ry7Qcfe3Qd3IIHH3s9cY93R5gQu4uhPjfNlFlRMbhaF+POc+swYGT0Viz40nXllqOTXsH4NTFUEzI3QVfz/uS7Eu7ppZVz9dqQmfKg7BiSwZq6lrez1JSUjB69GioVKoOXklkOdipRUREUvnkk086zEw0Go3ZhFq8TZ16ZOfOnW2O9+vXr8fbTEhIaDV24cIF3Lx5s0uvf+211/TmQd+7dy9SU1Px+eef4+bNm2hoaMD58+fx9ttvIysrC/fvt5yM9unTp0drgRGR5WGnFpFhhYSEYP78+UhOThbHvPu5YcCCaLhFOJmuMAlpQy11kxXdJCUAwVneSJ4f9VSgpUF64inMe2YVAy2yKanxZfjR1GIE+tyGNr2uvOWFD78fi+0H+0my1lbL9IM8JpHS43oFlm9Jx7drc8VAy8nJCS+88AIKCgoYaJFV0YZaarXaomcjIiIi86HRaNr8MCdcU4t65MCBA63GBEHocLq/zkRGRrY5fvDgQYwZM6bT1yclJeFf//Vf8b//+7/i2Pnz5zFt2rQOX6dUKvHhhx+ya4PIRrBTi8jw7OzsUFhYiJiYGCxfvhx1dXWwc1UicVoEru26jfKNN6BpMq+D4u7QhlpmdlzfY/aeKvSZHAKXAAe9cQ/Xh5iQuwuhAbdMVBmRaTna12P2pLU4dCoSq7enoelJ19bmfck4fTEEBbm74ed1r8fb104/yDW1pHPlujeWbR6Muw9cxLE+ffqgoKAATk7WcWMFkS7dG/XUajXPcYiIqMeys7Pb7dTasmWLkavpGEMt6pG2ph709fWFnZ1dj7cZGhra7r66EmoBwB/+8AeUlZVhxYoVXXq+QqHAxx9/jKysrC7XSUSWjZ1aRMYTHx+P4OBgLFu2DBcuXAAABGV6wz3SGWeKr6Dm5mMTV9gzYqhlBetpBQzyRMRof8jk+u+JaQmnMSztMFRKTmdENCDuAuIiLuOr1Xm4dtMbgIDK2174sHgMslOPY3DSCcjl3X8/0E4/qOEEKr3W1CRg64H+2HE4Xux8UyqVGDNmDAYMGKA3oweRNdENsRhqERFRb2zcuLHdx8ztGpp5VUMWQ3thSpevr2+vttne69vaV3sUCgWWLl2K1157DUqlssPnhoeHY82aNXj55Ze7VScRWTZtp5a5/UImslaurq54+eWXMWrUKPFCi5OfPZLnRiEw3cvE1fWM9uKoJYdaKlcl+s+MQNS4QL1Ay8P1IaYVrMfoIQcYaBHpsLdvxKyJ61CQsxtyWfP/DbVajtJ9Sfh46RjcqHLv9jYFoXk7nH6wd27ddcWipaOx/VCC+L0MCQnBggULkJKSwkCLrJruOQ3X1SIiIlvBTi3qkYqKilZjXl69uzDl6ekJQRBazdHZ1r46IpfL8Z//+Z+YN28ePvroI6xduxaXLl3Co0eP4O3tjaSkJEycOBHTpk3rVWcZEVkmbacW72IkMh5BEJCZmYnIyEgUFxfj5s2bkClkiBwTAI8YF5xbehX1jxpNXWaXycTpBy0z1PJNckfU+EDIlfoX0gf2O4Ph6YehUlrOvwWRsSX3vYC+4fpdW9dve+LD4jEYmnIcQ5K73rUlPFmri6FWz2g0wP4TsdiwewAam5ovbchkMuTk5CArK4s3MJFN0D2nYahFRES2gqEWdVtTUxPu3bvXatzZ2blX25XJZHBwcEBNTY3eeFVVVY+2Fx0djd/97nf43e9+16u6iMi6cPpBItPx8/PD3LlzsXHjRuzevRsA4BHljAELo1G2ogJVpx6YuMIustDpB5WOcsROCoZHlIveuJvzIxTk7kZE0A0TVUZkWbRdW0fORGDl1nQ0qeVQq+XYsj8Jpy+GYELubvh73+10O+KaWpxApdseVjugpDQDF64GimPe3t6YOHEiAgMDO3glkXVhqEVERLaIoRZ12/3799u8M1mKhXednJxahVp373Z+QkhE1FXakz12ahGZhkKhwOjRoxEdHY1ly5bh4cOHUDoqEPdcKG4cuosLayrRVN/24rTmQmaBoZZXX1fEFgVBbqf/3pcafxbD0w/BTsXuLKLuSupzEX0iruDrVcNw9YYPAAE3qjzx0ZIxyBpwHFkDTkAu7+j9TNupxenxuuPkhRCs2pqO2scts26kpaVhxIgRnU5BT2RtdG/U0968R0REZO0YalG3PX7c9qLuCkXvf5za2kZ7+yMi6gl2ahGZh6ioKCxYsAArVqzAqVOnAAB+AzzgGuaEs0uu4OHVWhNX2AELWlNLbidDzIQgeMe76Y27OVcjP2c3IoOvm6gyIutgr2rEzKL1OHo2HCu2ZqCpSQ61WoatB/rjTHlwh11bYqcWpx/skrrHSqzZMRDHzkWKY87OzigsLER0dLQJKyMyHa6pRUREtoihFnVbQ0NDm+NShFpt3VnX3v6IiLpLo9FwTS0iM+Lo6Ihnn30WR44cwerVq1FfXw8HTxX6z4zEla23cHnrTW0jg1l5kmmZ/Zpa7pHO6DM5GEoH/WO0AX3PYWTmQXZnEUmof2w5YsOv4p+rh+HKdf2urSHJxzE0pXXXVsv0g+zU6sylCl8s2zwY9x+1zA4SHx+P8ePHw9HR0YSVEZmWIAiQy+VoampipxYREdkMhlrUbe11N0hxANXWNthNQURS0X2P4XsLkXkQBAHJyckIDQ3FkiVLcPXqVQgyAaG5vnCPdsbZ4quou1tv6jL1COL0gyYupB0ypYCocYHwS/bQG3d1qkZ+zh5EhVSaqDIi62avasSMwvU4djYMy7dmoKlJAbVahm0H++NMeQgm5O5CgE9L1xY7tTrX2CRD6b4k7DoSBzwJ/+zs7DB27Fj0798fgsBAkEgmk6GpqYmdWkREZDMYalG3qVSqNselOIBqbGx9x3B7+7N0TU1NqKmpgUwmg1wuh0wmg0wm44kZkQHphlrs1CIyL56enpg5cya2bduGLVu2QKPRwDXYEQMWROHCmuu4cch81tjU/q42x04tlxBHxD0XApWzfvd7cp8yjMw8CHs7dsATGVpi7CX0Cb+Gr9fk4nKlLwABN+94NHdtDTiBoSnHoZCrIYhrajHUasuNKncs3TQYN++0BPRhYWEoKiqCu7u76QojMjNyuRwNDQ3s1CKroZ1hRa1Wi12I2j/bum5IRLaHoRZ1W3vTO9TV1fV6222tn+Xk5NTGM83P4sWLMWXKFDGcksvlkMvlUCgUePjwYavnP3jwAOvXr281rn3902GX7t91xw31HIZrZI10w3d2ahGZH5lMhpycHERFRaG4uBh3796FXCVHzIQgeMQ4o2x5BRprTX8XsjlOPyjIBUSM9kfAQE+93+EujjUYn7MHMaEVJqyOyPaoVI2YPmEDjpeFYXlpBhqbFNBoZNh+MFHs2mqZfpDHJLo0GmDPsb7YtCcZTermm5Dkcjny8vKQkZHBYziip2j/T7BTi6TQVqDUVrjU2VhXX9Pea9vT1vW1AwcOwNfXF42NjWhsbBQ7F7Xb++abbzB58mRDftuIyMgYalG3OTs7Q6VSob5efyqg6urqXm/70aNHrca8vLx6vV1jqKqqkqTlv7Nf4MbSVtjVk3Cssw+5XC7OA97R8xiykRQ4/SCRZQgODsaCBQuwZs0aHDp0CADgHecGl2BHnFt6DfcutD5eMCbhyfuHRm0eoZaTvz3ip4TCzk2/u71/7HmMGnwQDnbmNX0jkS1JiL6E2NBr+OeaHFyq9AMg4NYdd3y8ZDRSktwAABoNj3O17j90RElpJsor/MUxX19fTJo0CX5+fiasjMh8aWegYKhleXQDJN0P3XCnu4/39LVNTU16a1BbkoaGBty6davdx+/cuWPEaojIGBhqUY/4+vri6tWremP379/v1TZra2vR0NB6Shxvb+9ebddYcnNz8aMf/Qg1NTXiR21tLerq6rBv375Wd5O4u7tj1KhRXbqrpaufd+VuF+3fO6N9rrm0dguC0G4o1p0QrTeva+s1DNssi+7PPqcfJDJvKpUKEyZMQExMDJYvX47a2lrYuSiRMDUcFXtuo3zDDagbTRMqCU8ycZOHWgIQnueHoCHeer+PnB1rMD57L2LDrpmwOCLSUqkaMW3CRpw4H4qSzZli19atO67w9ASqa9qeCcOWaDTA8bJwrN4+CI/rWwL6zMxM5OXlQaHgpQui9rBTq3MajabdAKmzD0MFSGq12qy6/rtKe22mo5ucezPW2eO///3vW9Xk5OSE5ORk2NnZwd7eHg4ODnB0dBQ/cnJyTPCdIiJD4pEh9UhYWFirUKujuyK64ubNm22Oh4eH92q7xtKnTx/88Y9/bPOxzMxM7N69W29MEAQ4ODgYo7RWtAd0UoRjnT2nKweIXa3ZHBe/bS9s6+yjrdc9PdaV53T1+YIgMIADO7WILFFcXByCg4OxbNkynD9/HgAQmO4NtwhnnC2+iuobvZ/+uLta1tQy+q5FDl4qxL8QBgcvO73xxJiLGD14Pxzs2Z1FZG76RV1GTOhVfLMmV68T6XR5CKofJiMn9SgUCsu7Q763autUWLV9EE6eDxfHXF1dUVRUhIiICNMVRmQhtDfrmaLDRjco6kpo1NFzOnt9b7ZvieGR1tPn+Z3doNve4z15XVvhkjmeRycmJmL79u2mLoOIjIihFvVIVFQUduzYoTdWWVnZq2229/qoqKhebZda0wYc5nIw8nTA1tu7paR6fVcOfM01bGuLFEFZV1/fWcD29HPae0zqII6dWkSWycXFBS+99BL27t2L9evXo6mpCU6+9kiaE4lLm27g2q4qo9YjyMRFtYy6X62QoT4IzfVtqQOAk0MtxmfvRZ/wqx28kohMTaVUY2rBJpw8H4L9Z4OfjMqw83A/nC0PxoTcXQjyM+57milduOqPktJMPKxu6VZLTEzEuHHjYG9vb8LKiIyrrXCovcDo6ce1s6vcvXsXly5d6vD1HYVQPQmcLDksakt3Z4gxRsDEm1OJbEtkZCSA5hnBPv74YxNXY74YalGPJCUltRqrqanBzZs34evr26NtXrp0qc3x5OTkHm2PLIcgCGY5pUhbB+7dCdN0pxTo6GSgOycPbf29q9Tq5jv3LCGA09VZANZZKKb75+PHj8Xtnjx5skuv6c72jRnQEdkaQRCQnp6OiIgIFBcX48aNG5ApZIgYFQCPaBecXXoV9Q+NM2Wu9r+zsacftHNTIv7FMDj56l/o7RddjjFD9sGR3VlEFiM+6goeay7gapWP+J5y+54bFi0bhYz+p5A70Lq7thoa5di0Jxl7j/cVx+zt7TF+/HgkJCSYsDKyFNrzIO05kW5o83SA095YVwKfrgZLvX2NFCorK3t9s7GhdOVmya7efNmb13blMSIiUyovL4cgCLh+/bqpSzFr5ncVmSxCWlpam+Nnzpzpcah1+vTpVmP29vbo169fj7ZH1FuCIEAul5t1R097c4N3dCedlGNdfa7uCVx3GSqMKysrk3R7XdFWAKbbOdnW358ef3qso+1I8VhH+++sNp4UkiH4+vpizpw52LRpE3bt2gUAcI90xoCF0ShbUYGqkw8MX4Q4/aDxQq3ANE+EjwqATN7y/8rRvg7jhu5FXOQVo9VBRNKRy5uPccICbqLiWqO41tauI/1w9lJz11awFXZtVd7ywNJNQ3D7nps4FhkZicLCQri6upqwMsunPTfQDUp0Q532Qp6ufG7s13Xlc1umezyuvZlSoVDA3t6+SzfedSUc6mkw1NZzeF5ARERSYqhFPZKWlgYnJydUV1frjR87dgxDhw7t0TaPHj3aaiwrKwtKpbJH2yOyBeY2lWRn2jrJ7eqdjj15ztN/VldXo6qqCoIgwM/Pr1fbN6eAzlx1J4zryof25/zp7reebMsQH23V19UP6h6FQoFRo0YhJiYGS5cuxYMHD6B0UCDu2VDcOHwXF1ZXoqnecB0OMpnx1tRSOikQ/0IoXIIc9cbjIy9hTNY+ODk8bueVRGTuBKH5fcrVuQ4/nfEdvlmbg4tXAwAIqLrnhk+WjUJG4mnkDDoKpcLyjx3UagE7j8Rjy/7+UKubf2cqFAqMGDECaWlprX4fao+1dAOZ7ox15ePpwKej5zV/DZ0/31DP7crzqWu6G/h0NySSajsdPa7r4MGDuHLlCoKDg9ucVYeIiMjaMNSiHlGpVMjLy8Py5cv1xnft2oVXXnmlR9vcuXNnq7ExY8b0aFtEZJ5MHcJdvXoVVVVVsLe3R3p6eq+21VlA15VQrCvjnd2paozHevs9os49HXC1FXq19/fevl6KbRiyho7+dHZ2xrPPPos9e/bg4sWLAIDIIU4ISvTDpS03UH29DtC0TBOoUT/5mdRofz6fXDTV+7zz5yscntxwowFUjso2n/f0NnvCN9kd0eMDIVO0vGc62tdhbNY+xEdd7tlGiaxY868cARoIgKb5T41GAND8odHoP9b8Gpn+YxCa/y9Dpv9cDZ48LtPbDoAn+2nZjnas+bUysQYNoLM9GWrqPAAANY/dcet+AoZl3EHsTRkOnIhFk7p5poAzV7Nw7U4qkmIvwsPtUcu2Wn0tgs5jMnG/Ym06tWj33/w87bZaP0fz5DnQeU7zmO5+hDbGnto3BDQ1yVFd54CmJjn69m25AcTOzg63b9/GypUrn/x7MKAxFd3j9Kdv0DHW510d6+3n1kZ7bmUrN84REREx1KIee+GFF1qFWps2bYJGo+n2geLJkydbzRUqk8kwZcqUXtdJRKSlvbtVilDN1AGdsWgvKhk6OOvp3dXaGnWnoentdrvzIeX3mRfwek6hUCAmJkZvLCE13uD79Qpzx7wvn+/y89VNar3ASz/40g/BZCoZhKfeXhTyJtip6nHtfl9cO4jm6/TipfnmzyGIl87FMfHvT56vpfc8QbzE3zIk6G9Hb19PHmu1L0H3+S1/tmxL+7qWevW30/7+9ffVPt3vSMeku7CpDTKk0fVtacOWlu+gNqgR0LIdQQx7xNcATwIM3X3qvlZnm5qnXqcX8OgGOK3raD3Wfi1t16YfBrXQeVwnbLJUdx9F4EBZhPj34JDWz7lypw+u3DFiUQYglzd/6GpsNM5aiLp0j9+60lnd3ed29hxjbLuj53Y0jTRZJu10+Qy1iIisx969e5GXl2fqMswWQy3qsaKiInh5eaGqqmWe94qKCuzdu7fbHRDFxcWtxkaNGoWgoKBe10lEpKU90TPnddLMjfYCB79nbetu6NbVoKw3f+/sOb19vRQ1def5Hf359Jj2w1wvzMnkvb3orkR9o70ktRCRIaib4zZBo/dnW2OABk1qOzSpVZAJDVApHzU/VwyM1ahvlONRtQPUOnmuXNYEN5dqqJT1T56nfY0G2ukMBaj1xgRBLT5PgLq5hqfGml/75O+C9uto4znar0l87Kl96ey7oUGGo+ciUHmruSNNo9HA0dERaWlp8PHxaTNQ6elYR+MMbsjaacNR7bEnERFZvrt372LLli2mLkMkCIJZ3YjLUIt6zMHBAa+++ireeustvfEPP/ywW6GWWq3GokWLWo3/7Gc/622JRER6pOzUIgLAC2RmSK1WY8eOHSgtLW1Ze6RBg4vrr+PmkXsQhCdhrSCInwsy6P1d/3OdP2UCBAB9h0Vi0HP9cbv8Htb9cZv4HN3nCwIAmdDyue7+nt6uIECukiE42weugS1rZwmCgEDf20iNK4OdXYPY9aKl15GkeapD5qmOGOg89nTXi14HDvQ7dcTntNcl82SDul07+vvX3W9b3Tvax7WdPm3U81S9XSJ07YSra1uV7uStq91mXW/W0u2ge7pTT9s5p/N3sTtOvzOvVSfdk1CiVc2tOvp09/HksVZdfG3UJT5Pv/b269Kpv619dBAeiYFLO8GS7uMt4Uwbr3nq8dZjrf5xOnXq8liUVebBx+0c0vq0Ph8CgMZGGb5bl42yK4Fo+cHQID3xNIYNOgKl0jw7M85dCsTyLRmorgWAuwCA5ORkjBkzBnZ2diatjcjasFOLiMj6mFOABLTc8GwuGGpRr/zoRz/C+++/rzd14GeffYZf/vKXCA0N7dI2vvrqK1y4cEFvbPTo0Rg2bJiktRIRaS9ws+uIyHrJZDIMHToUkZGRWLJkCaqqqiBTCogaFwD3SCecW34NDTW9m+6q7mFzh0RjfSPuXLnf65o9op3Rd2wIYNeIBw8eAADs7R5jzJD9SIgu79HFciIyf9rOqo6mr1Qo1HhhXCnOXgpE8YYsNDQqAQjYcywO5y4FoSB3N0IDbhmp4s7VN8ixYXcKDpyMFcccHR2Rn5+PuLg4E1ZGZL0YahERWR9zC5HMDW9Vp15xdXXF//7v/+qN1dfXY+HChV1KlKuqqlp1ZDk5OeEvf/mLlGUSEQFoOdFjpxaR9QsKCsK8efOQmpoqjnn1dUXKwmh4RDv3atuCTNtx1Lu75wS5gL7PhSL+xTDI7VrC9piwq1jw7AokxjDQIrJm2k40TRdOy2PDKvDT6YsRE3oV2k62Ow9c8WnJSKzdkYr6BtPfsHPthhf+8f04vUArJiYGCxcuZKBFZECcfpCIyPoYa51wY68nLhV2alGvPf/889iwYQM+/PBDcWzVqlX4yU9+gv/+7/9uN1l+8OABCgsLUVlZqTf+f//3f60WeycikgI7tYhsi0qlQn5+PmJiYlBSUoKamhqonJXo91I4KvZWoXz9dagbu3+Arg211OqeH9y7hjki7vkwKB1a3o/sVY8xesgBJMZcZJhFZAMEaDu1unazjUKhxpSxW3DucgCKNwxFfUNz19be431x7nIQCnJ2IyzwpgErbltTk4DthxKw7WCC+LUolUqMGjUKqampvNOYyMDYqUVEZH08PDzQv39/U5chunDhAq5cuWLqMkQMtSxYeXk5IiIiuvWamTNnYubMmW0+tmjRIsyYMaNHtbz33nu4fv06VqxYIY79z//8D06dOoV3331X7z+hRqPBqlWr8OMf/xhnz57V285vfvMbTJ8+vUc1EBF1hp1aRLapT58+WLhwIUpKSnDu3DkAQGCaF9wjnHCm+Cqqr9d1a3va67OaHoRaggyILgyCb6K73oXe6NBryM/eAxen2m5vk4gsVBemH2xLTGglfjJtMRZvyMK5S8EABNx94ILPlo/EoITTyEs7DJWR1tqquueCpZsHo+KmtzgWFBSEiRMnwsvLyyg1ENk6dmoREVmf9PR0rFq1ytRliF5//XW8++67pi5DxFCLJKFUKlFcXIxXX30VH3zwgTi+Zs0arFmzBmFhYYiMjERDQwNOnjyJO3fu6L1epVLhz3/+M+bPn2/s0onIhmhP9BhqEdkeZ2dnvPDCC9i/fz/WrVuHxsZGOPrYI2lOJC5tvolrO29rZ/TqlBhGdTPTcg50QL+XwqB0bDkEt1PVY/TgA+gfe4HdWUQ2RqYNtXqwKoBCocaUMVtRdtkf328YivoGFQBg3/G+KLschPyc3Qg3YNeWRgMcPBWD9btS0NDY/J4mCAKys7ORnZ3NYy0iI2KnFhER2RqGWhbMwcEBo0ePlmx7QUFBvXq9UqnE+++/j8LCQvzsZz/D8ePHxccuXbqES5cutfm60aNH43/+5384zzoRGZz2RI/TDxLZJkEQMGjQIISHh6O4uBjXr1+HTC5DxAh/eEa74OySq3j8oKHzDT2ZfrA7c4tH5QfCP8VDrzsrKqQC+dm74erM7iwiWySuqdXF6QfbEh16HT+Z9j2KN2ThjE7X1ufLR2JgvzMYnn4YKmWjRBU3e1Rjj+VbMlB2ueX80dPTE5MmTer1OSURdR9DLSIisjUMtSyYn58f1qxZY+oyWhk7dizGjBmDzZs3Y9myZdizZw/Kyspw//59yOVyeHp6om/fvsjOzsazzz6Lfv36mbpkIrIR7NQiIgDw8fHBnDlzsHnzZuzYsQMA4BbuhAELo1G2sgK3j9/v8PXaYKor0w86+Noh8eVwqFyU4phK2YBRgw8guc95dmcR2bTuranVHoVCjefGbMX5q/5YvK6la2v/iT4oe7LWVnjQjV5XCwCnLwZj5dZ01NTZi2MDBw7EyJEjoVKpJNkHEXUPpx8kIiJbw1CLDEIQBOTl5SEvL8/UpRARidipRURacrkcI0aMQHR0NJYsWYIHDx5AYS9H32dCcDPGBedXVaDpcdsXh2Rd7NSKGOWPwAwvve6syOBK5GfvhptLjXRfDBFZJEGcflCadDsq+Dpem/Edvl8/FKfLQwAIuPfQGZ+vGIHU+LMYkXGox11bj+sVWLtzII6ciRLHnJycUFhYiJiYGEnqJ6Ke0e3U0mg0escdRERkWUJDQyEIAvz8/Exdih4PDw+EhYWZze8YhlpERGQz2KlFRE8LDw/HwoULsXLlSnHqZN/+7nANdcTZJVfx4HIb4dOTt5D2OrXsPVRImB4Oe7eWrgWVsgEjMw5iQFwZu7OICAAgoPfTDz5NJgOeHb0NF676YfH6bDyub34fOnAyFuevBCI/ezcigrvXtXW50gfLNmfi3kMXcaxv377Iz8+Hk5OTZLUTUc/o3rCnVqt5Ax8RkQUrLy83dQlt+tnPfoaf/exnpi5DxFCLiIhsBkMtImqLvb09nnnmGcTGxmLlypV4/Pgx7N1VSJwRgas7buPy5pt6AVbL9IOttxU6zBchWT4QZC3JVXjgdRTk7oa7S7XBvxYishxip5aEoZZWZPAN/HT6dyjekIVTF0Oh7dr6YuUIpMSdw4iMg7BTddy11dQkw5b9idh5JF6sUaVSYcyYMUhOTjabO3WJbJ3uuQ1DLSIisgUMtYiIyGZw+kEi6khiYiJCQkKwdOlSXLp0CYIgICTLBx6RzjhTfAW1VfUAdEItnekHVa4KJE6LgIOXnTimVDRgRMYhpMafY3cWEbUi9fSDT5PJgMmjtqP8mi++XZcjdm0dPBXT3LWVsxuRwdfbfO2tu65YumkIrt/2FMdCQkIwceJEeHh4GKReIuoZ3XObpqYmKJXKDp5NRETUff/zP/+DY8eOQRAEfPTRR6Yuh6EWERHZDnZqEVFn3N3dMW3aNOzcuRObN2+GWq2Gc6ADkudH4+K667i+/w4E7fSDT0KtoCHeCM/z0+vOCgu8joKc3fBwZXcWEbXNkJ1ausKDbuKn07/Dko1DcPJCGAAB9x854cuVw1t1bWk0wL7jfbBxTzIam5ovF8hkMgwbNgyDBw/mMRSRGXq6U4uIiEhq69atw9q1axlqERERGRs7tYioK2QyGbKyshAVFYXvv/8eVVVVkCtliB4fCM8YZyjsmt9DBBkwYGE0nHztxdcqFY0Ynn4IA/udZXcWEXXIEGtqtUcmA54ZuQOpFWfx3doc1NU3d5UePBWDsidrbfl43sfy0kxcuBogvs7b2xuTJk1CQEBAe5smIhN7ulOLiIjI2jHUIiIim8FOLSLqjoCAAMyfPx/r1q3D/v37AQCesa7w9Wmeess9ygX3FS2BVqj/TRTk7oKn2yOT1EtElqVl+kHjHZeEB97CT6YvxpJNQ3DyfHPX1oNHTvhq1XAoFQ1oaGyZtiw9PR3Dhw/nVGZEZo6hFhER2RqGWkREZDPYqUVE3aVUKjF+/HjExMSgpKQE1dXVkCu1F6CbuywUikYMTzuMQQln2J1FRF3WMv2gcd84ZDLgmRE7MLDfWXyzJldca0sbaLm4uKCwsBBRUVFGrYuIeobTDxIRkaE0NDRg6dKlOHnypKlL0cNQi4iIbAY7tYiop2JjY7Fw4UIx2NI1MuMgBvY7Z6LKiMhSaacfhBGmH2xLbZ0d5DL9ro7g4GC8+OKLcHBwMElNRNR9giBAJpNBrVazU4uIiCRx4MABLFq0CF9//TXu3btn6nJaYahFREQ2g6EWEfWGk5MTpkyZghUrVujdCb16expuVHlgRMZB2KkaTVghEVkSU0w/CAC1dSqs2TEQx8sixDF7e3sMHToUmZmZENhySmRx5HI5Qy0iIuqVW7du4YsvvsCiRYtw4sQJAIBG03wTlrkdHzLUIiIim8FQi4h6SxAEhIaGory8HE5OTuL4wVMxOH8lEPk5uxEZfN2EFRKRpdCGWmojdmqdLQ/Cym3peFTT0onVp08f5Ofnw9nZ2Wh1EJG0tOc3nH6QiIi6o6mpCStXrsSiRYuwatUqNDY2ikEWYH5hlhZDLSIisglqtVr8xcxQi4ikEBkZifDwcKxfvx4NDQ24/8gJX64cjpS4c+zaIqJOCXhy8dkIa2rVPVZi7c5UHD3bsk6Wvb09xo4di8TERLO9YEFEXaNdM5idWkRE1BXHjx/HokWL8OWXX+LWrVsAYBFhlhZDLSIisgm6dy1qT/qIiHpCdwqGQYMGITo6GiUlJSgvLwfAri0i6hpBaH4v0Ri4U6vscgBWbM3Aw2pHcSwmJgYFBQVwcXEx6L6JyDjYqUVERJ25d+8evvrqKyxatAgHDx4E0PUgS/d55oChFhER2QTdEzx2ahFRbzw9r7iHhwemTZuG/fv3s2uLiLrM0GtqPa5XYP2uVBw6HS2O2dnZYfTo0UhOTjb7O3CJqOvYqUVERG3RaDRYu3YtPvnkE5SUlODx48fdDrKCg4PR2NiI69fN54ZNhlpERGQTGGoRkdR0TwDYtUVE3aWdflBjgOkHL1z1x/ItGXjwqGXtv6ioKBQUFMDNzU3y/RGRaTHUIiIiXefOncOiRYvw+eefo6KiAkDXurK0z3FycsKkSZMwbdo05OXlYdy4cQy1iIiIjI2hFhFJpaOpF9i1RURdZYhOrfoGBTbsHoADJ2PFMZVKhVGjRiElJYXdWURWitMPEhHRo0eP8M0332DRokXYtWsXgPaDrKdnH9FoNJDJZMjLy8O0adPwzDPPwNHREeaKoRYREdkE3bsWuaYWEfXG0ycAT2PXFhF1RcuaWtIcl5RX+GJ5aSbuPXQWxyIiIjBhwgS4u7tLsg8iMk/s1CIisl2bN2/GokWLsGTJEtTU1ADo2jmr9jlxcXGYOnUqXn75ZQQFBRmn6F5iqEVERDaBnVpEZGzs2iKijminHwSapyDUhlzdVd8gx6a9ydh3vK84plQqMXLkSAwcOJDdWUQ2gKEWEZFtuXTpEj755BN8+umnuHTpEoDuTS+o6/jx44Yp0oAYahERkU1gqEVEUunsrjdd7NoiovZopx8Eeh5qXa70wfLSDNx54CqOhYWFYcKECfD09JSkTiIyf5x+kIjI+tXV1WHx4sVYtGgRtmzZAo1G06UgC2g+hxUEAXl5eZg5cyY+/PBDbNmypcv7/vTTT1FbW9ur+qXEUIuIiGwCQy0ikkp3Qi0tdm0RUSs6IVbzulpdvxjd0ChH6b4k7D7aF0Dze5FCocDw4cORnp7O7iwiG8NOLSIi67Vz504sWrQI3333HR4+fAiga+ek2ueEh4dj+vTpmDFjBsLCwgAAX3zxRbdq8PX17UnpBsNQi4iIbIL2BI/raRGRVLp70ZhdW0Sk6+npB7vq6g0vLNs8GHfut3RnhYSEoLCwEF5eXpLWSESWgZ1aRETWpaKiAp999hk++eQTnDt3DkD3phd0cHDAM888g5kzZ2LYsGGGL9jIGGoREZFN0J7gsUuLiHqrrXnIu0PbtbVv3z5s2LBBr2srNf4shqcfYtcWkQ2Q6U0/2PnxSWOjDFsO9MeuI3Hi8+VyOfLy8pCRkcFjHCIbxk4tIiLr8O233+KTTz7B+vXroVaruzW9IABkZGRg1qxZeP755+Hi4mLwek2FoRYREdkEhlpEJJWeTD/4NEEQkJaWhpiYGL2urQMnY1F2ORAFObsREXxDinKJyFzphlro+Pik4pYnlm3OxO277uJYUFAQCgsL4ePjY6gKichCMNQiIrIOU6ZMgSAI3ZpeMCAgAFOnTsXMmTPRp08fo9Rpagy1iIjIJjDUIiJz1HbXljO+WDmCXVtEVk7QXVOrnU6txiYZth1IxI7D8XrdWbm5uRg8eDCPa4gIAKcfJCKyNrphlkajEf+uDbJUKhUKCgowc+ZMjBkzxuaOCRlqERGRTdDetWhrv+iJSHpSdGrpYtcWkW3SX1Or9fFJ5W0PlGzOxM07HuJYQEAAioqKzG6xbiIyLXZqERFZH93zTu3nSUlJmDlzJl566SWbXkuVoRYREdkE7V2L2hM+IqKekjrU0mLXFpFtEfSmH2x5P2lqErD9UAK2H0qAWt0cdslkMmRnZyMrK4vHMkTUivbGPYZaRETWQ7c7y9HREX/9618xY8YM0xZlJni7OhER2QROP0hEUpM61NJuMy0tDQsXLkR4eLg4fuBkLD74bjwuXvOTfJ9EZBoCWk8/eKPKHR8vHYOtB/qLgZafnx/mzp2LnJwcBlpE1CbtewOnHyQismzz5s2Dq6srNBqN3s2UtbW1mD17NgYOHIj/+7//w927d01cqWnxyh4REdkEhlpEJBXtyYUhabu2xo4dC6VSCQDNXVsrRmDVtkF4XM8JF4gsnW6nllotw/aD/fBh8Rhcv+355HEB2dnZmDt3Lvz9/U1VJhFZAK6pRURkHd5//31cv34dX375JUaOHKk39aBGo8GhQ4fwL//yLwgMDMSUKVOwZs0ao5yfmhte2SMiIpvAUIuIpGKo6Qefptu1FRYWJo6za4vIOuiGWt+ty8HmfclQq5u7LXx8fDBnzhwMGzaM3VlE1CmGWkRE1sPOzg4vvPAC1q5di0uXLuE3v/kNoqOjAUDs4Hr8+DG+++47jB8/HiEhIfjFL36Bs2fPmrhy4+GVPSIisgna+eV5YYiILI2HhwemT5/Ori0iK6N7V+2tux4AmsPsrKwszJs3D4GBgaYqjYgsjPYch2tqERFZl6CgIPziF7/AmTNnsG3bNsyaNQuurq4AWgKuiooK/P73v0dcXByysrKwaNEiPHr0yMSVGxZDLSIisgns1CIiqRirU0sXu7aIrMvtey74elWu3pi3tzdmzZqF4cOHQ6FgWE1EXcdOLSIi6zdkyBB8+OGHqKysxKeffoq8vDzxnFQbcO3atQtz5sxBQEAAZs6ciS1btpi4asPglT0iIrIJDLWISCqmCLW02LVFZNnUagG7j/bFPxaPQ8UtL3E8OTkZ8+bNQ3BwsAmrIyJLpe3UUqvVNrm2ChGRLXFwcMDUqVOxYcMGXLx4EW+99RYiIyMBtIRb1dXV+Oyzz5CXl4eoqCi8/fbbuHLliokrlw6v7BERkU1gqEVEUjNFqKXdb3tdW39fzK4tInN1574zPls+Aut3paKxSaF34TkzM1MMqomIukv3HIfdWkREtiM0NBS/+tWvUFZWhtLSUkybNg1OTk4AWgKuixcv4s0330RERARGjx6Nr7/+GnV1dSauvHd4ZY+IiGwC19QiIqmYyx3QbXVt3XvY0rVV38CuLSJzoNEA+443h85XrvuK44MGDdJ5jnm8rxCRZWKoRURE2dnZ+OSTT3D9+nV8/PHHyM7O1pueUK1WY8OGDXj55ZexdevWbm177NixkMvlZjNFNkMtIiKyCezUIiKpmHL6wadpu7YWLFjAtbaIzNDdB074fMVwrNkxCA2NzRcB3N3dMX36dIwePVp8HkMtIuoN3Rv3tDfzERGRbXJycsKMGTNQWlqKsrIy/Pu//7t4rqjt3tI1bNgwfPLJJ3j48GGH223rtabCK3tERGQTGGoRkVTM5UBel6enJ7u2iMyIRgMcOBmNvy8ej0sV/uL4wIEDsXDhQoSHh+sF4+b4vkJEloOdWkRE1JaIiAj8+te/xsWLF7Fhwwa89NJLcHR01Dv23Lp1K2bPng1/f3+88MILWLVqldn/LuGVPSIisgkMtYhIaubQqaWLXVtE5uH+Q0d8uTIPq7alo76hOWR2c3PD1KlTMX78eKhUKgDm9x5CRJaLnVpERNSZvLw8fP7556isrMTf//53DBkyROy+0mg0qK2txbfffouCggIEBgbihz/8IQ4ePGjqstvEK3tERGQTGGoRkVTMafrBtrBri8g0NBrg0OkovP9dPi5eCxDHU1JSsHDhQkRGRnbwWnZqEVHPsVOLiIi6ysXFBXPmzMG2bdtw9uxZvP766wgODgbQMsXgzZs38Ze//AWDBg1CfHw8Tpw4YeKq9fHKHhER2QTtyZ3uXYxERL1hrqEW0HnXVjm7togk9aDaAf9cnYsVWzLE7iwXFxe89NJLKCgogJ2dXZuv0128m4iopxhqERFRT0RHR+Odd97BpUuXsHbtWkyZMgX29vYAWgKuM2fO4Nq1ayauVB9DLSIisgnaaTjYqUVEvWVJF5/b69r6fMUIrGbXFlGvaTTAkbMReP/bfJRdCRLHk5OT8corryA6OrrD1zPUIiIpyGQy8f2E0w8SEVF3CYKAkSNH4quvvkJlZSXee+89pKenAzDP41Re2SMiIpvA6QeJSCrmPv3g09rr2trPri2iXnlUY49v1uagZPNgPK5vXifL2dkZL7zwAgoLC8W7XDvCUIuIpKI9z2GnFhER9YabmxsWLFiAXbt24dSpU3jttdfg5uZm6rL08MoeERHZBIZaRCQVS734rO3aGjNmDLu2iHpBowGOl4Xh/W/zce5SsDjev39/vPLKK4iNje3ythhqEZFUGGoREZHU+vTpg3fffVfs2jIXPHMlIiKbwFCLiKRmKZ1augRBQHp6OmJiYlBSUoJLly4BaO7aKrsSiIKc3QgPumHiKonMV3WtHVZtS8Ppi6HimJOTE/Lz89G3b99ub88S30eIyDzJ5XI0NDRw+kEiIrJ6DLWIiMgmaEMtuVxu4kqIyNJZ2vSDbdF2be3duxcbN25EQ0OD2LU1MP4shmccgkrZaOoyiczKyfOhWL19EGrqWqYVTEhIwNixY+Ho6NijbbJTi4ikwk4tIiKyFQy1iIjIJmjvWGSnFhFJxZJDLaCzrq0AFOTsYdcWEYCaWjus3jEQJ8+Hi2OOjo4YN24c+vXrJ8k+GGoRUW9pb95jqEVERFL7yU9+gilTppi6DBFDLSIisgmcfpCIpGJtF5/b7tpyYdcWEYDTF4OxalsaqmsdxLG4uDiMHz8eTk5Ovd4+O7WISCra8xxOP0hERFIbMWKEqUvQw1CLiIisnkajYahFRJKxhukHn8auLSJ9tXUqrNkxEMfLIsQxe3t7jBs3DgkJCZL9/2eoRURS4fSDRERkKxhqERGR1dO9UMRQi4h6yxpDLS12bREBZy8FYeXWNDyqaVknKzY2Fvn5+XBxcZF0Xwy1iEgq2ukH2alFRETWjqEWERFZPd0TO+3JHhERtY1dW2Sr6h4rsW5nKo6cjRLH7OzsMHbsWPTv398gQTZDLSKSCju1iIioNzZs2ICKiooOnzNt2jQjVdMxhlpERGT1dE/s2KlFRL1lzZ1auti1Rbbk/JUArNiSjgfVLetkRUdHo6CgAK6urgbbr7W/jxCR8TDUIiKyfJ3diP3111/jueeeM8i+3333XWzatKnD5zDUIiIiMhKGWkRkCLZwMbrTrq3c3QgPvGniKol67nG9Aut3peDQ6RhxTKVSYcyYMUhOTjba/3N2ahFRb3H6QSIiy9fRMaExjks1Gk2r/ZjjTZ0MtYiIyOox1CIiKdnixed2u7aWj8TAfmcwPP0wu7bI4ly86oflWzJx/1FLd1ZkZCQmTJgANzc3o9TA6QeJSCrs1CIisg6mOj7U7u/p/QqCYHbHqgy1iIjI6nFNLSKSkjneqWYMul1by5Ytw+XLlwEA+0/0QdnlQHZtkcWob1Bg4+4B2H8yVhxTKpUYNWoUUlNTjfp/m6EWEUmFnVpERNZl0aJFrcbS09MNtr8NGza0OW6ON4cz1CIiIqvHTi0ikpKthlpanp6emDFjBvbu3YsNGzagsbGRXVtkMS5V+KKkNAP3HrqIY+Hh4ZgwYQI8PDyMXg9DLSKSCju1iIisg3YKwOnTp5u6FLPFUIuIiKweQy0iImmxa4ssTUODHJv2JmPv8b7imFKpxIgRIzBo0CCThdQMtYhIKgy1iIhsy6xZs7r9GkEQ8NFHHxmgGuNiqEVERFZPe2InCILNdlYQkXRsvVNLV0ddW4P6nUEeu7bIDFy57oOSzRm488BVHAsNDUVhYSE8PT1NWBkRkXQ4/SARkW355JNPunVOqu0AY6hFRERkAbShFru0iEhKDLWatde1te9EH5xj1xaZUEOjHKX7+mP30TgAzf9fFQoFhg8fjrS0NLM4LmCnFhFJhZ1aRES2yRaPIxlqERGR1dPerai9e5GIqDds8aShK9i1Rebk2g0vLCvNRNU9N3EsODgYhYWF8Pb2NmFl+hhqEZFUtOc6DLWIiGxDdnZ2mzdabtmyRRzPzs42dllGwVCLiIisHju1iEhKnH6wfezaIlNrbJJhy/7+2HUkDhpN8+99uVyOYcOGITMz0+yOBRhqEZFUtO9vnH6QiMg2lJaWtjkuk8nEqQY3b95s3KKMhKEWERFZPYZaRCQV3QvPDLXax64tMoXKW55YtjkTt+66i2OBgYEoKiqCj4+P6QrrAEMtIpIKpx8kIiJbwVCLiIisHkMtIiLj66xra0LuboSxa4sk0NQkw7aDCdh+qJ/YnSWTyZCbm4shQ4aY9e9/hlpEJBXt9IPs1CIiImvHUIuIiKwe19QiIqmwU6v7tF1be/bswcaNG8Wurc/Erq1DUCl5AY565vptDyzbnImbdzzEMX9/fxQVFcHPz8+ElRERGRc7tYiIyFYw1CIiIqvHTi0iMgSGWl0nCAIyMjIQGxvbqmur7EogCnLYtUXd09QkYMfhfth2MBFqdUt3VnZ2NrKysizmRhZ2ahGRVBhqERGRrWCoRUREVo+hFhFJhReee6etrq27D9i1Rd1z844blm3OxPXbXuKYr68vioqKEBAQYMLKuo+hFhFJhdMPEhGRrWCoRUREVo+hFhFJhdMP9h67tqin1GoBO4/EY+v+RDSpmy/eCoKArKws5OTkWEx3li6GWkQkFd1OLY1Gw+MUIiKyWgy1iIjI6mlDLUu82EVE5oWhlnTYtUXdceuuK0pKM1Fx01sc8/HxQWFhIYKCgkxYWe8w1CIiqejewMdQi4iIrBlDLSIisnrs1CIiMk/s2qLOqNUC9hzri837ktDU1NKdNXjwYOTm5kKhsOxTWl50JiKp6N7A19TUxHMfIiKyWpZ9BkBERNQF2nnleWJHRL3FTi3D6LBrK+E08tIOs2vLBlXdc0FJaSau3vARx7y8vFBUVITg4GATViY9dmoRUW/pnutob+ojIiKyRgy1iIjI6rFTi4gMgaGWtLRdWzExMSgpKWnp2jreF2WXg9i1ZUM0GmDv8T7YtDcZjY0tp6wZGRnIy8uDUqk0YXXS4vSDRCQV3U4thlpERGTNGGoREZHVY6hFRFLhhWfD8/LyYteWDbtz3xnLSzNx+bqvOObh4YGioiKEhoaasDLDYKhFRFLRPdfRzlRBRERkjRhqERGR1dOGWrp3LxIR9QSnHzQOdm3ZHo0G2H8iFhv3DECDTndWWloahg8fDpVKZcLqDIehFhFJhdMPEhGRrWCoRUREVo+dWkQkFYZaxsWuLdtw76ETlpdmoLzCXxxzd3dHYWEhwsPDTVeYEfB9hIikonsDHzu1iIgslyAI0Gg0vb4xW4pt6NZjThhqERGR1dOe1DHUIiIp8WK0cbBry3ppNMChU9FYvzsF9Q0t62QNHDgQI0eOtNruLF3s1CIiqegel7BTi4jI8klxfCjFNszxvJehFhERWT12ahGRVHjh2XS8vLwwffp07N27t1XXVlrCaQxj15ZFuf/IESu2ZODC1QBxzM3NDRMmTEBkZKQJKzMNvrcQUW8JggC5XI6mpiZ2ahERWYGehkm2MLsIQy0iIrJ6DLWIyBCs9QTBnMlkMrFra9myZbhy5QoAYO/xvjjHri2LoNEAR85EYt2uVDyub+nEGjBgAEaPHg07OzsTVmd87NQiIinJZDI0NTWxU4uIyML15lzTFs5TGWoREZHV057USTGXMBHZNl54Ng/atbbYtWVZHlY7YMXWdJRdDhLHXFxcUFBQgJiYGBNWZjoMtYhIStqb+BhqERFZNh4bdoyhFhERWT2uqUVEUrGFqRwsBbu2LIdGAxw7F4G1O1JRV9/SiZWUlIQxY8bA3t7ehNWZFkMtIpKS9iY+Tj9IRGTZMjIyMHr0aFOXAQDYsGEDduzYYeoy9DDUIiIiq8fpB4lIKgy1zA+7tszboxp7rNyWhrPlIeKYs7Mz8vPz0adPHxNWZh74PkJEUmKnFhGRdcjIyMCbb75p6jIAAHV1dQy1iIiIjI2hFhEZAi9Gmw92bZkfjQY4cT4Ma7YPQu3jlu6sxMREjB07Fg4ODiasznywU4uIpMRQi4iIbAFDLSIisnoMtYhIKrzwbN7a79oagbSEM+zaMpLqWjus2paG0xdDxTFHR0fk5+cjLi7OhJWZH4ZaRCQlTj9IRES2gKEWERFZPe1JnfYkj4hICuzUMk9td20JYtfWhNxdCA24ZeoyrdapCyFYtS0NNXUt62TFx8dj3LhxcHJyMmFl5o2hFhFJgZ1aRERkCxhqERGR1WOnFhFJhReeLYe2a2vPnj3YtGmT2LX1aclIdm0ZQE2dCmu2D8KJ8+HimIODA8aPH49+/fqZrjAzx04tIpISQy0iIss2bdo0CIKAtLQ0U5ciSk1NxfTp001dhh6GWkREZNU0Go14oYihFhH1lu6FZ3ZqmT+ZTIbMzEzExsaya8uAzpQHY+XWNFTXtqyT1bdvX4wfPx7Ozs4mrMz8MdQiIilx+kEiIsv2ySefmLqEViZPnozJkyebugw9DLWIiMiq6d6lyFCLiHqLoZZlYteWYdQ+VmHtjlQcOxcpjtnb22PcuHFISEjg/5EuYKhFRFJipxYREdkChlpERGTVGGoRkaHwgr1lYdeWtM5dCsTKrel4WOMojsXGxiI/Px8uLi4mrMyy8H2EiKTEUIuIiGwBQy0iIrJqDLWISErsprB8nXVt5aUdhpJdW+2qe6zEul2pOHImShyzs7PDmDFjkJSUxJCmh/jeQkRS4PSDRERkCxhqERGRVWOoRUSGwov3lotdWz1z/oo/VmzJwINqJ3EsKioKEyZMgKurqwkrs1ycfpCIpMROLSKi7nv06BFOnjyJ8+fP4+7du7h//z7kcjnc3Nzg4eGB+Ph4xMXFiTcOkOkx1CIiIqvGUIuIpMQLz9aFXVtd87hegQ27U3DwVIw4plKpMHr0aAwYMIABby8w1CIiKbFTi4ioc5WVldi4cSM2btyILVu2oLy8vNNjMQcHB+Tm5mLWrFmYMGECVCqVQWrbunUrAMDT0xMJCQkG2UdPmFtdDLWIiMiqMdQiIilpT3Z4Ed96sGurYxev+WF5aQbuP3IWxyIiIjBhwgS4u7ubrjArwVCLiKTETi0iorbdvn0bixcvxtdff41t27Z1+9irtrYWq1evxurVqxEZGYkPPvgAI0aMkLzO3NxcCIKA0aNHY9WqVZJvv6fMrS6GWkREZNUYahGRlBhqWS92bemrb1Bg455k7D/RRxxTKpUYNWoUUlNT+X9AIgy1iEhKDLWIiNr27//+7/jggw/afMzDwwOTJk1CZmYmgoKC4OzsjHv37uHixYsoLS3F8uXL0dDQID7/woULGDlyJH75y1/i17/+tbG+BNLBUIuIiKwaQy0iMgRe0LdOHXVtlV0OREHubpvo2rpc6YOS0kzcfeAijoWFhaGwsBAeHh4mrIyIiDrC6QeJiLpOJpPh9ddfxxtvvAFHR8c2n/Pqq6/i8uXLmDNnDtavX6/32G9+8xuoVCr8+7//uzHKJR28ukdERFZNN9TiRWgi6i12U9gGbdfWqFGjoFA03wd454ErPi0ZiXU7U9DQYJ2LRDc0yLFuZwo+LRkpBloKhQJjxozB9OnTGWgZADu1iEhK7NQiIuoaQRDwySef4O2332430NIKDQ3F6tWrMWHChFaPvfXWWzhy5IihyqR2sFOLiIismvaETiaTMdQiIsnw/cT6tde1tedYHM5dCrK6rq0r171RUpqJO/ddxbGQkBAUFRXB09PThJVZN4ZaRCQldmoREXXNrFmzMHXq1C4/Xy6X49NPP0VERATu3bsnjjc1NeH111+XfJ2p2tpaXL58WdJtWhOGWkREZNW0F4k49SARSYEXnm1PW2ttabu20hNPY9igIxa91lZjowyl+5Ow+2hfaDTNvysVCgXy8vKQnp7O358GxlCLiKTETi0ios7JZDK8+eab3X6du7s75s6diz/84Q964xs2bMC9e/fg7u4uUYXA1q1bERERIdn2rA3PUIiIyKpp71LkRTkikoL2wjM7tWyLtmtr/vz5CAkJeTLa3LX198XjcLnSx6T19dS1m174+/fjsOtIvBhoBQUFYf78+cjMzOTvTiNgqEVEUmKoRUTUucGDB+sc03fP6NGjW401NDRg27ZtvS1Lj0ajMasPc8NOLSIismrs1CIiKTHUsm3e3t5W0bXV2CTD1v2J2KkTZsnlcuTm5mLw4MH8nWlEDLWISEqcfpCIqHNpaWk9fm2/fv3aHK+oqOjxNttibueb5nasylCLiIisGju1iMgQzO0kg4xH27UVExODkpIS/bW2LgehIMe819qqvOWBZaWDceuOuzgWEBCAoqIi+Pr6mq4wIiLqNXZqERG1bdasWcjKygIADBw4sMfbaW+t2aqqqh5vU2q6AZS1nrcy1CIiIqumPaFjqEVEUjC3O9TIdNrs2rpvvl1bTU0ybDvYD9sPJYjdWTKZDDk5ORgyZIh4dz8ZFzu1iEhKDLWIiNqWlpbWqw4trbq6ujbH3dzcer1tXVIdG1rrMSZDLSIismoMtYjIEKz1jjfqHkvp2rpe5Y6SzZm4UdVyZ6m/vz8KCwvh7+9vwsqIoRYRSUl7zqNdA4XHK0RE0rp1q+1j+/DwcEn3k5iYiB//+Mfdfp1Go8GsWbMANB9nfvzxx72uRXeb5oKhFhERWTWGWkQkJV54praYa9dWU5OAnUf6YeuBBKjVzZ1YMpkMQ4cOxdChQ9mdZQYYahGRlHTPedRqNd/niYgktmfPnlZjCoUCQ4cOlXQ/QUFBmD59eo9eqxtA9XQbHW3THDDUIiIiq6a9SMRQi4ikoH1P4Z3P9DTdrq1ly5bh6tWrMGXX1s07bijZnInK217imK+vL4qKihAQEGC0OqhjDLWISEoMtYiIDGvp0qWtxp555hm4uroavxgbxlCLiIisWlNT853xDLWISAoMtagz3t7emDlzJnbv3o3NmzcbvWtLrRaw62gctuzrj6Yn3VmCIGDIkCHIycmBQsFTQHPC9xIikpJuiNXU1ASlUmnCaoiIrMuRI0fw/fff643Z2dnhV7/6lYkqsl08oyEiIqvGTi0iMgReiKaOyGQyDB48GLGxsW12bU3I3Y0Qf+m7tm7fdUVJaSau3fQWx7y9vVFUVISgoCDJ90fSYacWEUnh6U4tIiKSxo0bN/DMM8+0em/905/+hPj4eEn3Za7HheZUF0MtIiKyauzUIiIpmdOBPJm/9rq2PlkmbdeWWi1gz7E+2LwvGU1NLXfpDx48GMOGDWN3lhnj9INEJCWGWkRE0lu9ejXmzZv35Ea1ZjKZDH/6058wf/58Sff15ptvAgCio6Ml3W5vmVtdPLshIiKrxk4tIpISpx+k7jJ011bVfRcsL83Aleu+4pinpyeKiooQEhIiwVdAhsRQi4ikxFCLiCxdfX29Xnj0tODgYIPtW6PR4NGjR7h37x5Onz6NvXv34uuvv8aJEyf0npeQkIC///3vyMzMlLwGbXhkbsytLoZaRERk1dipRURE5kDqri2NBth3vA827k1GY2PLaV16ejqGDx/OdVQsBEMtIpISQy0isnQHDx7s8MYsQx0zJSQktAqvdDk7OyMvLw9z587FuHHjeI3JxBhqERGRVWOnFhFJiZ1a1BtSdW3dfeCMktIMXK70E8c8PDxQWFiIsLAwA34FJDW+lxCRlBhqERFJT6VSYcKECRgyZAji4uJ4fckMMNQiIiKrpj2Z40EHEUmBoRZJoaddWxoNcOBkDDbsHoCGxpZOrEGDBmHEiBFQqVTG/DJIAuzUIiIpCYIAQRCg0WjEGSuIiCxJSkoKli1bZvT9ZmVliVMbPnz4EHfv3kV5eTlqa2tRX1+Pr776Cl999RWA5nVrf/SjH2Hy5MlGr5OaMdQiIiKrxlCLiAyBoRb1Vne7tu49dMKKLem4eC1AHHN3d8eECRMQERFhgq+ApMBQi4ikJpPJ0NTUxPcVIrJIKpXKoOtmtef9999vNVZfX4+DBw/iyy+/xMcff4yamhoAwM6dO7Fz507k5OTg888/5zq2JsArfEREZNUYahGRlHiBiKSm7doaOXIkFIrmew61XVvrd6WgoUGOg6ei8MF34/UCrdTUVCxYsICBlpXgewsRSUUulwMAO7WIiHpJpVIhIyMDf/nLX3D+/Hnk5ubqPb5lyxakp6fj0KFDpinQhrFTi4iIrJo21GJXBRFJgdMPkiG017W1+2gcDp2OwuP6lmkFXV1dMWHCBERFRZmuYJKM7nuJRqPhewsR9Zr2Zj6uqUVEJB1/f39s2LABhYWFWLlypTheWVmJcePG4eDBgwgICOhgCyQl3rZORERWTXsyp71jkYiIyFy11bWlG2glJydj4cKFDLSsyNOhFhFRbzHUIiIyDLlcji+++AJBQUF649evX8eMGTNMU5SNYqhFRERWjZ1aRCQldmqRoWm7tubPny+uJ+Di4oIXX3wRhYWFsLe3N3GFJCW+lxCR1BhqEREZjru7O37yk5+0Gl+3bh127NhhgopsE6cfJCIiq8ZOLSIyBF6IJkPz9vbGrFmzcPPmTXh6ekKpVJq6JDIAdmoRkdQYahERGdasWbPw05/+tNX77HvvvYchQ4aYqCrbwk4tIiKyauzUIiIp8aIzGZMgCPDz82OgZcUYahGR1BhqEREZlpubG5KSklqNb9q0qdfbzsvLQ15eHn7+85/3eltSMre62KlFRERWjZ1aRCQlTj9IRIbCUIuIpKANtZqamkxcCRGR9UpMTMShQ4f0xq5fv47KykoEBAT0eLulpaUQBMHsphw3t7rYqUVERFaNnVpERERkrtipRURSY6cWEZHheXh4tDl+69YtI1dimxhqERGRVdOezGlP7oiIeoOdWkQkJYZaRCQ17QwVDLWIiAzHycmpzfHq6mojV2KbOP0gERFZNYZaREREZK4YahGR1NipRUSk749//CPOnj0LAHj55ZeRlZXV623euXOnzXEfH59eb5s6x1CLiIisGkMtIpISO7WISEp8LyEiqTHUIiLSV1JSgi1btgAAIiMjJQm1Ll++3Oa4n59fr7cNAMeOHcOsWbN6vR0ptmGOGGoREZFVY6hFRERE5oqdWkQkNYZaRETtKysr6/U2mpqasH379lbjMTExcHFx6fX2AaCiogKffvppr7ah0Wh6vQ1zxVCLiIisGkMtIpISO7WIyFAYahGRFBhqERG1b926db3eRklJCR48eNBqfMKECb3etpZUx4XWenzJK3xERGS1NBqN+AucoRYRSYmhFhFJgZ1aRCQ1hlpERO27dOkSvv322x6/vqGhAW+99VarcZlMhqlTp/aiMn2CIJjVh7nhFT4iIrJauidyDLWISAq86ExEUmKoRURSk8vlAJqnxyIiotZ+/OMft7smVmdeffVVHD16tNX43LlzkZSU1NvSqIs4/SAREVkthlpEJDVOP0hEUmKoRURS076vsFOLiKht165dw7Bhw/DVV18hPT29S6+pqanB/Pnz8cUXX7R6LC4uDr/97W8lrdHOzg5+fn6SbrM3Ll26ZOoS9DDUIiIiq8VQi4iIiMwZA3Iikpq2U4uhFhFR+y5cuIDBgwdj8uTJmD17NoYMGQInJ6dWz7t48SK+//57/PGPf0RlZWWrx/v27YtNmzbB09NT0vpyc3OxatUqSbfZG+Z2TY2hFhERWS2GWkRkKLwQTURSY6cWEUmBa2oREen72c9+BkEQUFpaqjeuVqvx7bff4ttvv4VcLkdUVBS8vLzg6OiI+/fvo6KiAhUVFW1uUyaTYcGCBfjtb38LNzc3I3wVpIuhFhERWS2GWkQkNV50JiIpcfpBIpIaQy0iIn3jxo3DuHHjcObMGXz22WdYuXIljhw5ovecpqYmnD17ttNtubi4YPLkyfjBD36AlJQUQ5VMnWCoRUREVouhFhFJjWtqEZGUGGoRkdQYahERta1Pnz5455138M4776CiogKlpaU4fvw4Tpw4gbKyMty7dw8PHjxAbW0tHB0d4ebmBjc3N0RHR2PAgAFISUnB8OHD4ejoaOovxeYx1CIiIqvFUIuIiIjMGUMtIpIaQy0ios4FBgbixRdfNHUZbTLXY0JzqouhFhERWS2GWkQkNXZqEZGUGGoRkdQYahERWS5zfe82t7p4hY+IiKyW7i9dXoAmIinxPYWIpMD3EiKSmlwuB9C8PgwREZE1YqhFRERWSxtqyWQyXjQiIkmwk4KIDIXvL0QkBXZqERGRtWOoRUREVks31CIiIiIyR9obbxhqEZEUGGoREZG141U+IiKyWgy1iEhqXFOLiKTGUIuIpMRQi4iIrB2v8hERkdViqEVEhsJQi4ikwlCLiKSkPffRaDR8XyEiIqvEq3xERGS1GGoRkdR4cYiIpMaQnIikpHvuw24tIiKyRrzKR0REVouhFhEZCi9CE5FU2KlFRFJiqEVERNaOV/mIiMhqMdQiIqnxojMRGQrfX4hICgy1iIjI2vEqHxERWS2GWkQkNe1FZ3ZqEZFU2KlFRFKSy+Xi5wy1iIjIGvEqHxERWS2GWkRERGTuGGoRkZR0z32amppMWAkREZFh8CofERFZLYZaRGQo7NQiIqnw/YSIpMTpB4mIyNrxKh8REVkthlpEJDV2UhCR1NipRURSYqhFRETWjlf5iIjIajHUIiKpcU0tIpIaQy0ikhJDLSIisna8ykdERFaLoRYRERGZO4ZaRCQlQRDE9xWGWkREZI3+f3v3HWZXVe4P/J1MeiGNEgiQkAAKoiQB6SVAQi/qFZQQpIggF6QpQe81XkSEiyggqKCISUAQEG5EUMCfYOihSA9SUoCEJBDS26TMnN8fPDPO5JyZTNl7zpk9n8/zzJM56+zyhntdWXt999rbLB8AmSXUApJmpRaQFqEWkJTq6x+hFgBZZJYPgMwSagFpEWoBSbFSC0iaUAuALDPLB0BmCbWApJl0BpIm1AKSJtQCIMvM8gGQWUItAKDUWfkJJK28vDwiIiorK4tcCQAkzywfAJkl1AKS5p1aQFqs1AKSYqUWAFlmlg+AzBJqAWkRagFJ8fhBIGlCLQCyzCwfAJkl1AKSZtIZSJqQHEiaUAuALDPLB0BmVU8+C7WApHj8IJAWoTmQFKEWAFlmlg+AzKp+MbJQCwAoVUJyIGlCLQCyzCwfAJllRQWQNP0KkDTv1AKSJtQCIMuEWgBkVvVKrfLy8iJXAgBQmFALSJpQC4AsE2oBkFlWVABJ068AaRFqAUmpvqmv+iY/AMgSoRYAmVV9Z6J3agEApUpIDiTNSi0AsswsHwCZJdQCkmalFpAWK7WApAi1AMgys3wAZJZQC0iLUAtIindqAUkTagGQZWb5AMgsoRaQNJPOQNKE5EDShFoAZJlZPgAyy2PCgLToV4CkWKkFJE2oBUCWCbUAyKRcLmelFpA4k85AWvQvQFKEWgBkmVk+ADKp9sSQUAtIihWgQNKs1AKSJtQCIMvM8gGQSbUv4IRaAABAe1FeXh4REZWVlUWuBACSZ5YPgEyqfbezFRVA0vQrQFKs1AKSZqUWAFkm1AIgk6zUAtJg0hlImpAcSJpQC4AsM8sHQCYJtYA0eKcWkDQrtYCkCbUAyDKzfABkUu2JIaEWAFDqhFpAUoRaAGSZWT4AMqn2BZwVFUBSrNQCkmalFpA0oRYAWSbUIrNmzpwZ//3f/x277bZb9O/fP7p16xZDhgyJMWPGxJ///OdilwekzOMHAYC2QEgOJE2oBUCWmeWjxS699NIoKytL9Kdjx47NrqeqqirGjx8fO+20U1xxxRXx4osvxqJFi6KioiJmzZoVf/jDH+K4446LffbZJ956660E/0sApUSoBaTBSi0gLVZqAUmxAhSALDPLR6asX78+jj/++Lj88stj7dq1DW77zDPPxL777hvPP/98K1UHtCahFgDQFgjJgaSVl5dHhJVaAGSTWT4y5ZJLLon/+7//a/T2CxcujGOPPTY++OCDFKsCiqH2XYkmi4CkWKkFJM2KCiBptfsVfQsAWSPUIjOef/75uOaaa+q07bTTTnHXXXfFggULYvXq1fHSSy/FWWedVWciav78+XHOOee0drlAyqrvSrRKC0iDUAtImolnICm1r4Gs1gIga8z0kRmXX355nc8jR46M559/Pk444YTYdNNNo2vXrjFs2LC46aab4vbbb68zGXXffffFK6+80tolAykSagFpMOkMJM1KLSBpQi0AssxMH4maMGFCzfL2lvysX7++SeddtWpVPPzwwzWfe/bsGXfddVf06NGj4PYnnnhinHvuuXXaJk+e3PS/MFCyhFpAGjx+EEia/gRImlALgCwz00cmvPjii7FmzZqaz1/5yldi8803b3CfCy+8sM7np556KpXagOIw8QwAtCVWagFJEWoBkGVCLTJh/vz5dT4PHz58o/tst9120a9fv3qPAbRtVmoBaRCYA0nz+EEgaUItALLMTB+ZUFlZWedzYyexy8vLa3430INsEWoBAG2BkBxImlALgCwz00cmbPiowWnTpm10n/nz58fHH39c83mLLbZIvC6geKrvdhZqAUmyUgtImpVaQNJqj1P0LQBkjZk+MmHXXXetM3F95513xtKlSxvc58Ybb6wzuPv85z+fWn1A66u+I9HEMwDQFph4BpLiqTQAZJlQi0zo169f7L333jWfFy5cGCeffHKsXbu24PZ/+9vf4sorr6zTdtxxx6VaI9C6PH4QSIOVWkDS9CdA0mr3K0ItALLGTB+ZMW7cuDqf77///thrr71i8uTJsXjx4li7dm288cYbcfHFF8fRRx8d69atq9n2kEMOiX322ae1SwZSJNQC0mQSGkialVpAUsrKymrGKkItALKmY7ELgKQce+yx8cUvfjEmT55c0/bSSy/Fl770pQb36927d/zqV79KuzyglQm1gDSYdAaS5p1aQBo6dOgQlZWVQi0AMsdMH5kyceLEJr0bq2fPnnHPPffEjjvumGJVQDF4RBiQJn0LkBT9CZCG6pv7hFoAZI2VWqRi/vz5cc8998TTTz8dr776anz44YexbNmy6NSpU/Tr1y/69+8fn/rUp+KAAw6IkSNHxs4775zIeTfZZJOYMmVKnHPOOTFp0qQG73bcZZdd4rbbbothw4Ylcm6gtFipBaTBSgogaVZqAWkQagGQVUItEvX+++/H2LFj484774zKysq879euXRsrV66M2bNnx8svvxx33XVXRETss88+cckll8QxxxzT4jsVu3fvHhMmTIjzzz8/JkyYEI888kjMmTMnKioqYosttojdd989vvzlL8dXvvIVk92QYUItIE1WVgBJE2oBSRJqAZBVQi0S9T//8z95bQMGDIgBAwZE3759Y9GiRfHBBx/Exx9/XGebp59+Oo477rgYOXJk/OEPf4gBAwa0uJZhw4bFz3/+8xYfB2ibqieGhFpAkkw6A0kTkgNpEGoBkFVm+kjF5ptvHv/7v/8b77zzTsybNy9eeumlePTRR+Pll1+OBQsWxIsvvhgXXnhhdO7cuc5+U6ZMiWHDhsUzzzxTpMqBrKi+eDNRBKRB3wIkxeMHgTToWwDIKqEWiTvllFPizTffjEsuuSS23377gtsMHz48rrnmmnj99dfztvnwww/jmGOOiRkzZrRGuUBGefwgkAYTQ0Ba9C9AksrLyyPCSi0AssdMH4m68MILY+LEidG3b99Gbb/DDjvEE088EYMGDarTvnDhwjjqqKNi9erVaZQJtANCLSAN1ZPOVmoBSbGaAkhDdd8i1AIga8z00WKnn356PPHEE/HMM8/ENddc0+T9BwwYEDfffHNe+1tvvRW//OUvkygRaIdMPAMAbYGxCpAG79QCIKuEWrTYtttuG/vtt1/stddezT7G6NGj45BDDslrv+qqq2L58uUtKQ9op6zUApJWexWFSWggaVZqAUkSagGQVR2LXQBU+/rXvx6PPPJInbaPP/44HnzwwTjhhBOKVFV6KioqYvr06dGhQ4coLy+PDh065P1e+3OhdhNqUD+hFgDQFnj8IJAGoRalJJfLRS6Xi8rKyqiqqoqqqqqa3zf8s6E2rykBIoRalJBDDz20YPvf/va3NhFq3XPPPfHVr361TuhUXl4eHTt2LLjabPXq1TFt2rQWnbOsrKzBIKwpIdnGArSGjldWViZgo+QItYCkWakFpEF/AqRBqEUul6sJhGr/1A6Kmvr9ht81JaRKQkVFRV7bP//5z9hiiy1i3bp1sX79+qisrKxz7jvvvDO+/OUvJ3J+oDQItSgZ/fv3j0GDBsV7771Xp33KlCnFKaiJFi5cWPMPZ2N07Ngx+vbtW+8goKqqaqN3a1bf5ZLU4KAlGgrJkvypDtFq/1nftsK29s07tQCAtsRKLSBJQq3W1RoBUmO/r25va/+uFLqhesM/O3XqlLffunXr4qOPPqr3uIsWLUqzbKAIhFqUlCFDhuSFWnPnzi1SNU1zwAEHxAUXXBArV66MVatWxerVq6OioiIqKiriueeeixUrVtTZvlevXnHAAQc0eMym3g3TlO+ask9jBsGlEq5tKM0wbWOhWkM/Arf0WakFJM1KLSANHj8IpCFLoVb1o+tqz1HUFyI1dpvqm4Q3tk1jAqTq7dqi6icAbezm5A3nQOp7ok9D3zfU1tg5kp49e+a19ejRI3bdddfo2rVrzU+3bt2ie/fu0aNHjzjwwAPT+E8HFJFQi5LSu3fvvLbVq1fHypUro0ePHkWoqPF22mmnuPbaawt+t/fee8fUqVObfMzqf+yLraGBXGNCsiR/mjpgbGwoVwy1B48bDiQLtTX1c3OP21BbWyLUAtLU1vpEoHTpT4A0bCwwrx0UbfjnxkKh6vaGQqGkQ6csKHSdvbEgaWM33za1fcObc7Pwb9BnP/vZeOqpp4pdBtCKhFqUlPqCq6VLl5Z8qJVl1YOe8vLygku9i6HQS0Zb46cx52vsXbal9PjIxko6MKv+vfqurIa+b+qf69evj4h//3fOyoAdKB6rKIA06WOgbakdyBT6vbFtaX2/evXqiIiYM2dOfPjhhwX3yaINrz2rg5yGnqLSUHBU+zgtDZhcjwIkQ6hFSdnwEX3V+vTp07qFUPJqhyClprGPL2hKW1rbVIeDjVW9X1sybdq0mDZtWs3nloZlzQnkGhvYbbjtxr7b8DOQLo8fBNLg8YNkVe2gpb7fN/Z9Ur83dtumhEltRVI3UrYkEGrJNk3Z33URQPsg1KKkLF26NK+t+jm40FbUXtnWFtR3AdeS8KyxgVpz/qx94dmcyZ/qC9C2tEKusTYWiDU1JCuF4zXnBwDaEv92ZUvtcWpDPxuOaZPYvnqc29ht0w6Q+LfG3ujWlO83ts+8efNiwYIF0adPn9h+++2bfJ4NQyMAKBVCLZptxowZceONN0bEJ+/CGj9+fIuPOX369Ly2gQMHtvi4QP3aWghXW6EL6OrfH3/88VizZk3stNNOsfnmm7coSGsoWNvYHZz13flZ352jLf3vkcWwrqmaGoBteFdnoTs9a7fVPkf1atGWBnFNqbexn5Patr7v2jv/DYCktWYIUH2uDYOOQm0b+66p+zTlOEmds3Z7U8Kk5gRPtFx9N0El8Xtj2loaLNXX1tpWr14dCxYsiC5duphXASBThFo02+zZs+NnP/tZRHzyLqyWhloffvhhzJkzJ6995MiRLToukF0bBguF9OzZs808wrR6wmXDCZSmfC40+dJWjpfkf8fWnBhsr4oRpG0YqtWeIGrM9w392Zhtak9Wzpw5M7p06dLkYyRRx4YTY4UmypqzTWP3TfJYjd2mKdtVS7pfaS3NPVft/er7vbHbFWOfJM/ZmD+b+11T9i+0baHv1qxZExGfTEA/9thjzT52oW0Lnd+/kW1D7TFuY1ayN2XbJIKgpIOlYoY/WVX9/xPCVgCyRqhFIlauXBkfffRRbL755s0+xsMPP1ywffTo0c0+JtB+VU/YtKUL4+pa2+KquSQ0967ohn4iIm8l3Ibn2PDctT+X0s+GddX+vOHvrfl/r/bq3XffLXYJQMbkcrlYsmRJsctosYZubqivrTntTd0novGBT6HAJY0wqaEfaCmhFgBZJdQiMX//+99jzJgxzd7/5ptvzmvr169fHHHEES0pC2inqi/eGlrFRWnZcHKI5mlKANaU75LcdmOhXGO2rf1nobam/tmYbSorK2PBggUREdG/f/+a/19tTh1J1bzhser73Nhtmnss2p6GVr419rtS3WfDUGNj3xXatqHvmnOOhr5btmxZzJkzJzp27Bif/vSnEzl27W2SDoc2dnygNAi1AMgqoRaJ+fnPf97sUOv++++PJ598Mq/9kksuiV69erW0NKAdEmrRXplYTE9FRUXNyvLhw4dHjx49ilxR6UkqXGtKW1L/v572/2Zaq87GhkGUjrlz58acOXOivLw8hg4dWuxygIyo7veFWgBkjVCLxDz33HNx3XXXxQUXXNCk/ebMmRNnn312Xvv2228f5557bkLVAe2NUAtIk4CgsIZW0QCF+d8JkIZCK8oBIAvM9JGob3/72/HTn/600YOmN954I/bff//44IMP6rT369cv/vKXv0T37t3TKBPIuNp9kIkiICkmhYA06WOAJHn8IABZJdQiUVVVVXHxxRfHnnvuGXfccUcsXrw4b5tcLhcvvPBCnHvuubHrrrvmvWh98803jz//+c+x4447tlLVQNbUvnCzUgtIg8AcSEp1fyLUApIk1AIgqzx+kGb73Oc+F+PGjYuJEyfGRx99VOe7559/Pk466aQoKyuLoUOHxmabbRbdunWLRYsWxezZs2PhwoUFj3nwwQfH73//+9hyyy1b468AZJRQC0iDCWcgDUItIA1CLQCyykwfzdavX7+46qqrYs6cOXH33XfHV77ylejTp0+dbXK5XEyfPj2eeeaZePTRR+Pll18uGGgdcsgh8cADD8Tf//53gRbQYrUnhYRaQBqs1AKSoj8B0iDUAiCrrNSixTp16hTHH398HH/88bF+/fqYOnVqPPfcc/Hqq6/GtGnT4qOPPoolS5bEypUro1evXtGvX7/o379/fO5zn4t99903DjzwwBgyZEix/xpAhtS+cDNRBCTFKgogTfoYIElCLQCySqhFojp27Bj77bdf7LfffsUuBWjHPH4QSJvAHEiK/gRIQ/V1kMAcgKwx0wdA5gi1gDSYFALS4J1aQBqqr4MqKyuLXAkAJMtMHwCZI9QC0lB7wtnKCiBpQi0gSbXHKvoXALLETB8AmWPiGQBoK6zUAtJQ++Y+79UCIEuEWgBkjpVaQBoE5kAa9CdAGoRaAGSVmT4AMqf2RZuJIgCgrbBaC0iKUAuArBJqAZA51RdtHTp0EGoBibFSC0iD994AaRBqAZBVQi0AMqd6QsikMwBQ6oxXgDQItQDIKqEWAJlTe6UWQFKs1ALSZqUWkBShFgBZZbYPgMwRagFpE2oBSfH4QSANta+F9C0AZInZPgAyp/qiTagFJMmEEJAGITmQhtrXQpWVlUWsBACSZbYPgMypXqllkghIkscPAmkTngNJsQoUgKwSagGQOR4/CAC0FSaegTSUlZXV9C/eqQVAlpjtAyBzhFpA2qzUApKiPwHSUn09JNQCIEvM9gGQOR4/CKTBCgogbfoZIElCLQCySKgFQOZUTwhZqQUkqbpvEZgDSfL4QSAtQi0AsshsHwCZ4/GDAEBbIdQC0iLUAiCLzPYBkDlCLSANVmoBadCnAGkRagGQRWb7AMgc79QC0qRvAdJipRaQpOpQS98CQJYItQDIHO/UAtJgQghIg6AcSEv19VBlZWWRKwGA5JjtAyBzPH4QAGgrvFMLSEt1/6JvASBLzPYBkDneewOkQd8CpM3EM5Ak79QCIIuEWgBkjpVaQJqEWkCSrNQC0iLUAiCLzPYBkDlWUwBpMNkMpMF4BUiLUAuALBJqAZA5VmoBaTIBDaRFeA4kSagFQBaZ7QMgc6zUAtJgshlIg8cPAmkRagGQRUItADLHSi0gDQJzIA36FCAtQi0AsshsHwCZY+IZAGiLrNQCklR9PaRvASBLhFoAZI6VWkCaBOZAkjx+EEiLlVoAZJHZPgAyx0otIA0mm4E0CLWAtFipBUAWCbUAyBwrtYA0CMwBgLbESi0AsshsHwCZY+IZAGgrrNQC0iLUAiCLhFoAZI6VWkAaBOZAWvQrQBo8fhCALDLbB0DmmHgG0qRvAdJi4hlIkpVaAGSRUAuAzLFSC0iDyWYgLVZTAGnQtwCQRWb7AMgcK7WANJgQAtJi4hlIg5VaAGSRUAuAzLFSC0iTwBwAaAuEWgBkkdk+ADLHSi0AoC2xUgtIg74FgCwSagGQOVZqAWkQmANp0a8AabBSC4AsMtsHQOaYeAYA2hKrKYA0CLUAyCKhFgCZY6UWkCaBOZAWoRaQJIE5AFlktg+AzLFSC0iDCSEgLSaegTRYqQVAFgm1AMgcK7UAAID2TqgFQBaZ7QMgU3K5nJVaQCr0LUBarNQC0qBvASCLhFoAZErtCzYrtQCAtsDEM5AGK7UAyCKzfQBkSu3JIKspgCSZbAbSYswCpEGoBUAWCbUAyJTaF2xWagFpMPkMpEV4DiSp9ipQ/QsAWWG2D4BMsVILAGhrPH4QSEPtm/z0LwBkhVALgEyxUgtIS/VkkMAcSItJZyBJtccs+hcAssJsHwCZUvtiTagFALQFwnIgDbWvh7xXC4CsMNsHQKbUvlgzQQQkyUotIC0ePwikQagFQBYJtQDIFCu1AIC2RlgOpMHjBwHIIrN9AGSKlVpAWqzUAtJm0hlIkpVaAGSRUAuATKk9GWTiGQBoCzx+EEiDUAuALBJqAZAptS/WPH4QAABorzx+EIAsMtsHQKZYqQWkxeMHgbRYqQWkwUotALJIqAVAplRfrJWVlZl4BgAA2i2hFgBZJNQCIFOqL9Y8ehBIi8AcSJqVWkAaPH4QgCwy4wdApng8GJAWk0FAWoxbgDTUfnqFlVoAZIVQC4BMqZ50tlILAGhrhOdA0qqvi4RaAGSFGT8AMqX2O7UAkmQlKJAWjx8E0qJ/ASBrhFoAZIqVWgAAAJ+wUguArDHjB0CmWKkFpMVKLSAtVlIAadG/AJA1Qi0AMqU61LJSCwAAaO+s1AIga8z4AZApVlIAadG/AGnRrwBpEWoBkDVCLQAyxUotAKCt8ngwIGkePwhA1pjxAyBTrKQAANoak85AWqzUAiBrhFoAZIqVWkBahOYAQFtTPW4RagGQFWb8AMgUk84AQFtjpRaQluqb/fQvAGSFUAuATKm+WLNSC0iL0BxImn4FSIvHDwKQNWb8AMiU6os1k0NA0tzhDKRNPwMkzUpQALJGqAVApninFgAAwCes1AIga8z4AZAp3qkFpEX/AqTFSgogLUItALJGqAVAplipBQC0NcJyIC1CcwCyxowfAJliJQWQFv0LkDaTzkDSrNQCIGuEWgBkipVaAEBbIywH0iLUAiBrzPgBkClWUgAAbZWVWkDSPH4QgKwRagGQKdUXa1ZqAUkTmgNpMekMpMVKLQCyxowfAJlSfbFm0hkAAGjvhOYAZI1QC4BM8U4tIC1WagFp0a8AabFSC4CsMeMHQKaYdAYA2iorKYCkCbUAyBqhFgCZYqUWkDahOZA0jwcD0qJ/ASBrOha7AGgPZs6cmdf2+uuvx957712EaiDbli9fHuvXr4+uXbtGt27dil0OkCErV66MtWvXRufOnaNHjx7FLgfIEP0LkJbVq1dHRUVFdOzYMXr16lXscqBFXn/99by2QnNuNGxFLI3nc48Wu4xYEUuLXQJtlFALWsGqVavy2lasWBFTp04tQjUAAAAA0PYVmnOjYZVRGUtjUbHLgGbzbCYAAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOR5pxa0goEDB8YHH3xQp6179+4xZMiQIlUE2fXiiy/G2rVro1u3brHrrrsWuxwgQ1566aVYs2ZNdO3aNYYNG1bscoCMefnll6OioiK6dOkSw4cPL3Y5QIa88sorsXr16ujcuXOMGDGi2OVAs82cOTPvHVoDBw4sUjVtwy677FLsEpqkrdVLcZTlcrlcsYsAgKRsvfXW8cEHH8SIESPin//8Z7HLATJk6NChMXPmzNhpp53ijTfeKHY5QMZ85jOfiTfeeCOGDBkSM2bMKHY5QIbstttu8eKLL8bAgQNjzpw5xS4HAFrE4wcByJSqqqqIiCgvLy9yJUDWVN8L1qGDITSQvLKysoj4d18DkJSOHT95UFNlZWWRKwGAlnNFDkCmVF+oderUqciVAFlTPdFcPfEMkKTqwLz6Bh2ApFRfGwm1AMgCoRYAmVJ9oVZ9NyJAUoRaQJqs1ALSItQCIEuEWgBkSvXdzVZqAUkTagFpql6pJdQCklZ9bWQlKABZINQCIFOs1ALSItQC0mSlFpAWK7UAyBKhFgCZYqUWkBahFpAmK7WAtHTu3DkirNQCIBvcxg5Aptx+++0xf/78GDFiRLFLATLmd7/7Xbz33nux4447FrsUIIOuu+66eOONN2LQoEHFLgXImPHjx8cRRxwRAwYMKHYpANBiZTm3gQEAAAAAAFDiPH4QAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOR1LHYBAJSGhx9+OL7xjW/E7Nmza9omTJgQp556avGKiogf/OAH8aMf/SivfdasWTF48ODUzrt+/fp46aWXYtq0abFgwYJYu3ZtbLLJJrHddtvFiBEjYquttkrt3FVVVXH33XfHPffcEy+88ELMnz8/evbsGUOHDo1jjjkmTjvttBg4cGBq54ekFbN/WbduXbz99tvx5ptvxsKFC2Pp0qWxbt266N27d/Tp0yeGDBkSu+66a3Tv3j31WkrFX//617jzzjvjqaeeinnz5kWXLl1i0KBBccQRR8Rpp50WO+64Y7FLhEbTv9Rl/ALJKlYfk8vl4s0336zpXxYtWhQREX379o2+ffvGjjvuGLvsskt06NC+7lU3hgEgIiJyALRrS5YsyZ1++um5iMj7mTBhQlFre/3113OdO3cuWNusWbNSOeebb76Z+8Y3vpHr06dPwfNW/+y222653/72t7k1a9Ykev5XX301t+uuuzZ47h49euSuvPLKRM8LaShG/7J8+fLcAw88kLvwwgtzu+66a65jx44N/u8pInLl5eW53XffPXf99dfnFi1alEgdgwYN2uh5m/rz9a9/vUU1vf/++7kDDzywwXN07Ngxd+GFF+bWrl2byH8HSEt77l8KMX6BZBWjj5k3b17u+uuvz40aNSrXu3fvjfYvPXv2zI0ePTr3hz/8IdF/t41hACh1Qi2Aduwvf/lLbuDAgfVeGBQz1KqsrMztvffe9daWdKi1du3a3Lhx4xo1QVX7Z6eddspNnTo1kRqmTJmS22STTRp97lNOOSVXVVWVyLkhaa3Zv1RUVOTuvffe3Je//OVct27dWjTp0qtXr9wNN9yQq6ysbFFNpTYh9Prrr+e23HLLRp/r0EMPza1evbpF/w0gLe29f6nN+AWS19rXSA888EBu1KhRuQ4dOjS7f9lyyy1zv//97xOpxxgGgFLn8YMA7dDixYvjggsuiFtvvbXYpdTrxhtvjGeeeaZVzrV06dI47rjj4rHHHqvT/qlPfSpOOeWUGDFiRHTr1i1mz54dDz74YNx9992xbt26iIj417/+FQcccED87ne/i5NOOqnZNbz33nvxH//xH7Fs2bJG7zNp0qTYZpttCj6eEYqlGP3L5MmT48QTTyz4XadOneKoo46KAw88MLbffvvo3bt3rFq1KubNmxdPP/103HPPPbF48eKa7ZcvXx7f+ta34v77748//elP0a1bt9b6a6RmyZIlcdxxx8W8efMavc/f/va3OPPMM0v63wnaH/1LXcYvkKzW7mP+9re/xcUXXxyvvvpq3ncdOnSI0aNHx8iRI+PTn/509O3bN9asWRPz58+Pxx9/PO677774+OOPa7afN29ejB07Nv70pz/FxIkTo0ePHq3yd0ibMQwABRU7VQOgdd133315d7r17NmzVe5CbKzZs2fnevXq1eAdeEmt1Fq9enVuv/32yzv+//zP/+TWrVtXcJ/XX389t8MOO9TZvry8PHfPPfc0u46jjjoq73jnn39+7tVXX82tXr0699FHH+V+//vf54YOHVpnu7KystyLL77Y7PNCkorVv/zhD38oeI5jjz02N2fOnAb3Xb58ee6iiy4quP/o0aObvaKilO5yPuecc/KOdfLJJ+eeffbZ3KpVq3KLFy/O3Xfffbnhw4fnbTd58uRmnROSpn+py/gFklWMPuakk04qePxRo0blpk+f3uC+y5cvz11yySX17l9RUdHsuoxhACh1Qi2AdmLhwoUFL5xOOOGE3HPPPZf6pFBTHHPMMRu9MEoq1DrzzDPzjv3jH/94o/vNnTs3t/XWW9fZr0ePHrk333yzyTW8+OKLeRNC9913X8FtlyxZkttzzz3rbP/FL36xyeeEJBW7fyk06XzGGWc06RhXX311wTp/8YtfNKumUpkQmjdvXt67Cev7O1VUVOSOO+64OtsOHz68WX9/SIr+pTDjF0hGMfuYQuc99dRTmxR4T5gwoWCNp5xySrPrMoYBoNQJtQDagXfeeSe3xRZb1Bnkb7HFFrl77703l8vlcrNmzUp9Uqix7r777jo1jB49umBtSYRaDz30UN5xDzjggEa/5+Hhhx/O23/PPfds8nsixo8fX+cY48aNa3D72bNn13mvR9euXXOrVq1q0jkhKaXQv2w46fypT32q3pUKDRk5cmRenX369GnW3c61J4SK6ZZbbsmbpGvI8uXL8+5UT/odhtBY+pfCjF8gGcXuYzYMtT73uc/l1q5d2+TjnH322QXrfOqpp5pVlzEMAKWuQwCQeXPmzIkPP/yw5vOYMWNi2rRp8aUvfamIVeVbsmRJnHfeeTWfd9lll7j44otTOVdlZWWcf/75ee1XX311lJWVNeoYhx56aIwaNapO27PPPhu33XZbk2p5+umn63w+99xzG9x+6623jhNOOKHmc0VFRbz44otNOickpRT7lx/84AfRsWPTXx1bqL9ZsmRJ/P3vf0+irKLYsH/51re+1eD2PXv2jDPPPLNO21NPPZV4XdAY+pd8xi+QnFLrY3784x9Hp06dmrzfZZddFl27ds1r//73v59EWUVjDANAfYRaAO3IlltuGffdd1/cfvvt0b9//2KXk+fiiy+O+fPnR8QnL0f+zW9+06wLu8a4++6746233qrTttdee8Uee+zRpOPUDuGqXXHFFVFVVdXoY1T/nSMiNt1009hmm202us9uu+1W7zGgGEqlf+natWscd9xxzdr3oIMOKtjnPProoy0tq2g27BuGDx++0X30L5Qa/cu/Gb9A8kqhj9lss83iiCOOaNa+m266acEg7vHHH4+FCxe2tLSiMYYBoD5CLYB2oKysLL72ta/FtGnT4thjjy12OQVNmTIlbrnllprP3/zmN2PvvfdO7XzXX399XtuYMWOafJwjjjgi+vXrV6ftrbfeiocffrjRx6isrKz5vUOHxv3TXF5eXudzUyahIEml1r/svPPO0aNHj2bt261btxgyZEhe+9y5c1taVtHU7l8iGtfH6F8oFfqXfMYvkJxS6mNGjRqV97+Ppth///3z2iorK+Nvf/tbS8oqKmMYAOoj1AJoB/bbb7+YNGlS9O3bt9ilFFRRURFnnnlm5HK5iIgYOHBgXHnllamd75133ompU6fmtR911FFNPlbHjh3jsMMOy2tvyiN8Nt9885rfFyxYEB999NFG93nttdfqfN5iiy0afT5IUin0L3vvvXfcdtttcdttt8U111zTomNtOMkbEW36Lufa/UtExLRp0za6j/6FUqF/qcv4BZJVCn1MtZ133rlF+++yyy4F2999990WHbeYjGEAqI9QC6AdaMldf63hRz/6Ubzzzjs1n2+44YbYZJNNUjvf5MmT89q22mqrgndQN0ahOyP/8pe/xPr16xu1f+1HaeRyufjNb37T4PaLFi2KO++8s+Zzp06dYtiwYY0rFhJWCv3LoEGDYuzYsTF27Ng48MADW3SsioqKvLbevXu36JjFtOGjem666aYGt1+3bl389re/rdP2+c9/PvG6oDH0L3UZv0Cyit3H3HTTTbFgwYJYsGBBi98jXF8w15Yfv2cMA0B9hFoAFNVrr70WV199dc3nL3zhC/HFL34x1XMWegzHiBEjmn28DZ/dHhGxbNmyeOaZZxq1/9FHH13n8+WXXx5TpkwpuG1FRUWMGTMmlixZUtN20EEHpRoCQnuyYMGCvLbBgwe3fiEJOeqoo6KsrKzm8+9+97u44447Cm5bVVUVZ511VkyfPr2mbccdd4yddtop9TqhPWhp/2L8AtnSs2fP2HTTTWPTTTeNLl26tOhYnTt3Lti+du3aFh23mIxhAKiPUAuAoqmqqoozzjgj1q1bFxERm2yySfziF79I/ZzPPvtsXvtnPvOZZh/zM5/5TJ0LrmqNnRQaNWpUnUmpNWvWxGGHHRbf/e5344033oi1a9fGokWL4t57740999wz730X48ePb3btwL/NnTs35syZk9d+8MEHF6GaZOywww7xhS98oeZzLpeLsWPHxllnnRUvvvhiVFRUxLJly+Lhhx+OkSNHxoQJE+rsr3+BZLS0fzF+ARqydOnSgu0DBgxo5UqSYwwDQH06FrsAANqvG264IZ577rmaz1dccUUMHDgw1XO+9dZbsWLFirz25j66JyKiR48esfnmm8eHH35Yp/3FF19s9DFuvPHG2H///Wvuply7dm1cddVVcdVVVzW433/+53/Gfvvt1/SigTx/+tOf8tq22WabGDVqVOsXk6Cf/exnMWXKlFi8eHFE/PsxYRt7VNhRRx0VY8aMaY0SIfNa2r8YvwANmT17dsH23XffvZUrSZYxDACFWKkFQFG8//778f3vf7/m81577RVnn3126uf917/+VbB92223bdFxC+1f37kK2WOPPeKWW26Jjh0bf7/JMcccE9ddd12jtwfqt3r16rjyyivz2i+99NLo1KlTESpKznbbbRd//OMfo0ePHo3eZ88994zbb789OnRwuQAtlUT/YvwCNOS1117La+vWrVvBd+e1JcYwABSihwegKM4+++yaO447deoUN998c6tceMycObNg++abb96i4xbaf9asWU06xtixY+Ovf/1rbLPNNg1u17lz5/jud78bkydPbvOT7VAKKisr48QTT8x7NNiJJ54Yp59+emLnefbZZ+O//uu/4vDDD4/BgwdHnz59olOnTtG/f//YYYcdYp999onzzz8/7r333li4cGFi542IOOSQQ+Lxxx/f6LslOnToEF//+tfjH//4R/Tu3TvRGqA9Sqp/MX4BGlLofXZf+tKXEntvnTEMAKXE4wcBaHV33nln/PWvf635fPHFF8cuu+zSKueeO3duwfb+/fu36LibbrppXtvy5ctj+fLl0atXr0YfZ/To0fH222/HpEmT4r777otXXnklPv744+jRo0cMHjw4Dj/88DjjjDNa9Lgh4N/efPPNOOOMM+Kpp56q037SSSflvZuhuf7yl7/EJZdcEtOmTSv4/aJFi2LRokUxffr0eOaZZ+L666+PLl26xCmnnBIXX3xxbL/99onUMWLEiHjttdfirrvuinvuuSdeeOGF+Oijj6Jr166x9dZbx6hRo+L000+Pz33uc4mcD9q7JPsX4xegPosXL44nnngir/2iiy5q8bGNYQAoRUItAFrVokWL4vzzz6/5vMMOO7TqS3w//vjjgu09e/Zs0XHreyTGwoULmzQpFBHRtWvXOOuss+Kss85qUU1AXatWrYply5bFrFmz4p///Gfcd9998cgjj0Qul6vZpn///nH11VfHaaedlth5jz766DqfO3fuHAMHDowBAwZEp06d4sMPP4z33nsvKioqarZZs2ZN/OY3v4lbbrklLrvssvje974XZWVlLa6lvLw8xowZ4z0TkLC0+xfjF6A+EyZMiPXr19dp+9KXvhQjRoxo8bGNYQAoRUItAFrVt7/97fjoo49qPv/617+Orl27ttr5lyxZUrC9Kc9pb8r+ixcvjsGDB7fo2EDLnHvuufHLX/6y3u/Ly8tjzz33jJNPPjm+9rWvRffu3VOpY+TIkXHWWWfFUUcdlTdZvGrVqnjkkUfipz/9aTz++OM17ZWVlfHf//3f8eSTT8Y999yTWm1A87RW/2L8AhSybt26+MUvflGnrUePHnHNNdckeh5jGABKiXdqAdBqHnnkkZg4cWLN51NPPTUOOuigVq1hzZo1Bdub8oLzpuxf3/mA0jFy5Mg49thjY9iwYalMuPTq1StuvfXW+Mc//hFf/epXC65+6N69exxzzDHx2GOPxc033xzl5eV1vn/wwQdj7NixdVZ9AKUvqf7F+AUo5Prrr897D97ll18egwYNSuT4xjAAlCIrtQBoFatXr67zOJrNNtssfvazn7V6HevWrSvY3tJJofpeeF7f+YDWs/POO8dhhx0WEZ/0RYsXL445c+bE4sWLI+KTwP2RRx6JiIihQ4fGWWedFeedd1506dKlxefu2bNnPPjgg7Hvvvs2ep8zzjgjevTokfd4ncmTJ8ell14aP/zhD1tcF5CM1upfjF+ADc2ZMyd+9KMf1Wk78sgj6zzqvSWMYQAoVVZqAdAqLr300pgxY0bN52uvvTb69evX6nV06FD4n76qqqoWHbe+/es7H9B6/vM//zMeeuiheOihh+Kxxx6LV199NRYuXBjTpk2Lq666KgYOHFiz7YwZM2LcuHGx0047xZQpU5p9znvuuSeeeOKJeOWVV5o0GVTtxBNPLPjOiKuuuirmzJnT7LqAZLVW/2L8AtSWy+Xi1FNPjaVLl9a0bbvttjFp0qQWv7/KGAaAUmekCkDqXn755TrPdT/ssMPipJNOKkotnTt3LtheWVnZouNu+HLmjZ0PKK6ysrLYeeedY9y4cTFz5sw477zz6nw/a9asOPTQQ+PWW29t1vF333332G+//WLIkCHNrvGKK67Im1hes2ZN3l3ZQGlJo38xfgFqu+KKK2pWgUZ88pjABx54IDbddNMWH9sYBoBSJ9QCIFWVlZXxjW98o2bSpHv37nHjjTcWrZ763mdRUVHRouPW9+6Jlr7AHUhf586d4+c//3n87//+b532devWxemnn15n0qg1DRo0KEaNGpXXfuedd9Y7EQ2UlqT6F+MXoNqf//znGD9+fM3njh07xp133hmf/exni1hVXcYwAKRJqAVAqn7+85/HCy+8UPP50ksvje22265o9fTv379g+8qVK1t03BUrVjTpfEDpueSSS+Loo4+u01ZZWRknnnhiLFu2rCg1HXrooXlty5Yti6lTpxahGqC5Wtq/GL8AERHPP/98nHTSSZHL5SLik0eF3nrrrXHkkUcWubJ8xjAApEWoBUBq3n333fjBD35Q83nYsGFx4YUXFrGiiM0337xge+3n0TdHof07dOhQlPeGAc132WWX5bUtWLAgrr/++iJUE7HbbrsVbG/J+76A4mhJ/2L8Arz55ptx5JFH1gmjb7zxxjjxxBOLWFX9jGEASItQC4DUfPOb36y5g7i8vDxuvvnm6NixY1FrGjRoUMH2BQsWtOi4H330UV7bVlttFZ06dWrRcYHWNXz48IKTMDfddFMRqol632fxwQcftHIlQEu1pH8xfoH2bebMmTF69Oj4+OOPa9puuOGGOPPMM4tYVcOMYQBIi1ALgNQ8/PDDNb9XVlbG5z//+SgrK2vSz0EHHVTw2Nttt129+wwePLjemoYOHVqwfe7cuS36u86bN6/R5wJK2wEHHJDX9sEHH8Sbb77Z6rX07t27YHvtSS2g7Whu/2L8Au3Xe++9FwcddFDMmTOnpu3aa6+Nc889t4hVbZwxDABpEWoB0K7suuuuBdvffffdFh33/fffz2sbNmxYi44JFEd9L1p/6aWXWrmSiB49ehRsb+kjx4DiaG7/YvwC7dPs2bPjoIMOqvO/1auvvjouuOCC4hXVSMYwAKSluM+AAiDTDjvssBYfY9GiRfH888/ntR9wwAHRrVu3gvtsscUW9R6vX79+MXTo0JgxY0ad9rfeeqvZNb733nuxevXqvPbdd9+92ccEiqdv374F21v6mK/mqP3ejNr69OnTuoUAiWhu/2L8Au3P3Llz4+CDD45Zs2bVtF1xxRXxne98p4hVNZ4xDABpEWoBkJqHHnqoxceYMmVKwUcQTpo0qcHHDDbkoIMOypsUeu2115p1rIiIV199td7zAG1PfXcWV78jsDXVdzfzpptu2sqVAEloSf9i/ALtx/z58+Pggw+O6dOn17Rddtll8b3vfa+IVTWNMQwAaRFqAdDuHHHEEfHb3/62TtvLL78cq1evrnf1V0OefvrpvLZddtklBg4c2OwagcZ54IEH4oEHHoiIiD322CNOP/30Fh9z0aJFBds322yzje5711131awuHTVqVBx++OEtqqX2ZFZt+hdIX6n1L8Yv0D4sWLAgDjnkkDorMcePHx/jx49v9DHmz59f8/tmm20W5eXlG93HGAaAtkKoBUC7c+SRR0bv3r3r3D24bt26eOKJJ+LQQw9t8vEeeeSRvLYxY8a0qEagcV544YX49a9/HRGfvBsmiUnnQu+YiWj40abVHnzwwZg0aVJERFRUVLR4QuiFF14o2D5y5MgWHRfYuFLrX4xfIPsWLlwYhxxySLzxxhs1bd/73vfisssua9Jxttxyy5rfZ82a1agnXBjDANBWdCh2AQDQ2rp27RonnXRSXvvkyZObfKzZs2fnXbB16tQpTj755GbXBzRPfXcEN9WUKVPy2srKymLEiBFNOs7MmTNbXMvDDz+c17bJJpvEnnvu2eJjA41XCv2L8Qtk2+LFi2P06NF1Hiv6ne98J6644opWr8UYBoBSJtQCoF266KKL8h7D8Yc//KHJ78y55ZZbIpfL1Wk78cQTY+utt25xjUDTvPPOO3Vept4c8+bNi0cffTSvfcSIEU1+XM4TTzwRa9eubXYt06dPLzgBfsIJJ0THjh64AK2pVPoX4xfIpqVLl8ahhx4aL730Uk3bBRdcEFdffXVR6jGGAaCUCbUAaJeGDh0aZ555Zp22pUuXxg033NDoYyxbtixv+65du8all16aRIlAM7R08udHP/pRVFRU5LWfcsopTT7WihUr8t5/0xTf/e538yadu3TpEj/4wQ+afUyg+UqhfzF+gexZvnx5HH744XVWT55zzjlx7bXXFq0mYxgASplQC4B268c//nFstdVWddouv/zyRj9u4zvf+U7eC9/Hjx8f2223XWI1Ak1z8803F3zcTWPceeedceONN+a1f+Yzn4mzzz67Wcf8wQ9+0KzHlk2YMCHuvffevPaLLroottlmm2bVArRMqfQvxi+QHStWrIgjjjgipk6dWtN21llnNSmoTosxDAClSqgFQLvVt2/fuP322+s8AmPlypVx9NFHx7x58xrc95prrombb765TtshhxwS3/3ud1OpFWic9evXx5e+9KWaF5031rXXXlvwXTI9e/aM3/3ud81+VM7ChQtj9OjR9b4sfUO5XC5+8YtfxBlnnJH33bHHHhuXX355s+oAWq5U+hfjF8iGVatWxdFHHx1PPfVUnfZf//rX0aFDhygrK2v2TxKMYQAoVUItgHbi3Xffrfeip747c0877bR695k4cWKi9Y0cObLgeQ466KCC22+33XYFtz/11FObfN6JEydGhw7//ifxX//6V+y2225x++23x7p16+psP2PGjBg7dmx8+9vfrtM+YsSI+L//+786x4H2otT6l1WrVsWpp54a++67b9x2222xYMGCgtstXLgw7rjjjhg+fHhcdNFFsX79+jrf9+zZMx588MHYY489WlTPu+++G/vss0+cfvrpMXXq1LzzRHxyp/bkyZNj7733jm9961tRVVVV5/vRo0fHHXfcoY+h3dG/FGb8AskoZh/zH//xH/HYY48l9DdJhzEMAKXI2xkBaPdOOumk6N27d5x00kmxbNmyiPjkZe5jx46Ns88+O3bZZZfo1q1bzJkzJ95+++28/Y8++ui44447olevXq1dOrR7xx9/fLzzzjtx7733xpo1a+p89/TTT8fTTz8dERHbbLNNDBgwIDbZZJNYtWpVLFiwIGbMmJH3vodqhxxySNx4442xww47NKmes846K5YuXRoPPPBAnYmfdevWxYQJE2LChAnRvXv32GGHHaJPnz5RVVUVH330UcyaNavgC9k7duwYl112WXz3u99N7M5roHFKrX/ZkPELtG3PPPNMsUuowxgGgLaiLFffSBuATPnwww+b9CLyjfn2t78do0ePTux448aNi1dffbXFxxk9enTeXciN9cEHH8S4cePirrvuisrKyo1uP2jQoPjhD3+Y6H9XaItKoX9ZuHBh3HbbbXH//ffHk08+WXByZWPKy8vjsMMOi2984xvxhS98ocn71zZv3ry49dZb4/7774+pU6c2qk+prWfPnnHaaafFBRdcEEOGDGlRLdCW6V82zvgFmq+YfUyfPn1i6dKliZ27PrNmzYrBgwc3entjGABKnVALADbw7rvvxt133x3/+Mc/4o033ogFCxbEunXrolevXjF48ODYbbfd4phjjokjjzyy2e/ZAdKzYsWKmDJlSrzyyisxbdq0ePPNN2PhwoWxbNmyWLFiRXTu3Dk22WST2GSTTWLbbbeNYcOGxfDhw+Pggw+OAQMGJF7PokWL4tFHH41XXnklXn311XjnnXdi8eLFsWTJkqiqqoq+fftG3759Y6uttoq99tor9t1339h///2tnoASVGr9S23GL9C2lGqoVZsxDAClSKgFAAAAAABAyfOWRgAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAAAAAAEqeUAsAAAAAAICSJ9QCAAAAAACg5Am1AAAAAAAAKHlCLQAAoCjKysoS/enQoUP07ds3tttuu9h3333jggsuiLvvvjtWrVpVlL/f4Ycfnlfj1KlTi1ILAABAFpTlcrlcsYsAAADan7KyslY5T58+feLrX/96fP/7348+ffq0yjk/+OCD2HbbbaOqqqpO+1lnnRU33XRTq9QAAACQNUItAACgKA4//PC8tsceeywqKirqtG211Vbx2c9+tt7j5HK5WLZsWSxYsCBmzpwZ9V3ibL311nHbbbfFyJEjW1R3Y1x55ZXxX//1X3ntvXv3jnnz5kW3bt1SrwEAACBrhFoAAEDJGDx4cLz33nt12k455ZSYOHFio/ZfvHhx/OUvf4mf/OQn8dprr+V937lz53jooYfioIMOSqLcen3qU5+Kt99+u+B3t99+e4wZMybV8wMAAGSRd2oBAACZ0bdv3xg7dmz885//jG9+85t5369duza++MUv5gVnSXr66afrDbQiIiZMmJDauQEAALJMqAUAAGROp06d4le/+lUcdthhed8tXbo0vv/976d27o2FVo8++mi8//77qZ0fAAAgq4RaAABAJpWVlcVVV11V8Ls77rgjldVaq1evjrvvvrvmc6F3Z1VVVcWkSZMSPzcAAEDWCbUAAIDM2nXXXWP48OF57VVVVfHQQw8lfr577703li1bFhGfrBa79tprC243adKk8HpjAACAphFqAQAAmbbXXnsVbJ8yZUri55o4cWLN70cddVScfvrpsemmm+ZtN2PGjHjiiScSPz8AAECWCbUAAIBMGzx4cMH2uXPnJnqe999/P/7xj3/UfD7ttNOiU6dOMXbs2ILbb+zdWwAAANQl1AIAADKtT58+BdsXLFiQ6HkmTZoUVVVVERGxxRZbxJFHHhkRn4Rbhfzxj3+MFStWJFoDAABAlgm1AACATFu3bl3B9g4dkr0cmjRpUs3vJ598cnTs2DEiIj73uc/Fbrvtlrf9ypUr449//GOiNQAAAGSZUAsAAMi0xYsXF2zv379/Yud4/PHHY8aMGTWfN1ydVd9qLY8gBAAAaDyhFgAAkGmvv/56wfZddtklsXNMnDix5vc99tgjdt555zrfjxkzJrp06ZK33xNPPBHTp09PrA4AAIAsE2oBAACZVVVVFU8++WTB7w4++OBEzrHhYwQLrcrq27dvHHfccQX3rx2IAQAAUD+hFgAAkFl//vOf44MPPshr32abbeLYY49N5Bz33HNPrFixIiIiunbtGl/96lcLblffIwhvvfXWqKqqSqQWAACALBNqAQAAmbR48eK44IILCn73k5/8JDp16pTIeWq/F+uLX/xi9OnTp+B2hx56aAwcODCvffbs2fHII48kUgsAAECWCbUAAIDMmTFjRhx88MHx3nvv5X03bty4eldTNdWsWbPi8ccfr/l8+umn17tthw4d4pRTTin4Xe1gDAAAgMKEWgAAQJuWy+Vi2bJlMXPmzLjrrrvi5JNPjp122ilefvnlOtv16NEjfvnLX8ZVV12V2LknTZoUuVwuIiK23Xbbjb6n69RTTy3YPnny5FiyZElidQEAAGRRWa76CgwAAKDIBg8eXHB1VUtsueWW8dWvfjXGjRsXAwYMSOy4uVwuhgwZEu+++25ERIwfPz4uu+yyje63//77x5NPPpnXfuONN8Y3v/nNxOoDAADIGiu1AACAzOndu3dcccUV8eyzz8acOXPimmuuSTTQioiYMmVKTaBVVlZW7yqsDZ122mkF2z2CEAAAoGEdi10AAABAQ7baaqv47Gc/W/C7lStXxsyZM2Pu3Ll12pcuXRqXX355LFq0KHbdddfo0qVL4nXVDqEOOOCAGDJkSKP2O+GEE+K8886LlStX1ml/7rnn4o033oidd9450ToBAACyQqgFAACUtNGjR8fEiRMb3ObNN9+Mq666qs52q1atip/+9Kfx97//PR555JHo169fYjUtX7487r333prP9a2+KqRnz57x5S9/OSZNmpT33cSJE+MnP/lJIjUCAABkjccPAgAAbd6nP/3pmDBhQvzsZz/L++7ll1+OL3zhC7F27drEznf33XfHqlWrIiKiV69ecfzxxzdp/9NPP71g+2233RaVlZUtrg8AACCLhFoAAEBmXHTRRXHyySfntT/xxBPx05/+NLHz1F4RdsIJJ0T37t2btP/+++8fQ4cOzWufP39+PPjggy0tDwAAIJOEWgAAQKZcd911semmm+a1X3nllXnv3mqO6dOnx5NPPlnzuSmPHqxWVlYWp556asHvar+rCwAAgH/zTi0AACBT+vXrF+PHj4/zzz+/TvuKFSviyiuvjBtuuKFFx6+9SqusrCx+9KMfNes4ixcvLth+//33x8cff1wwmAMAAGjPynK5XK7YRQAAAEREDB48ON577706baecckqdIKkx1qxZEzvssEPMnj27TnvXrl3j3XffjS222KJZ9VVVVcXgwYPzjpu06667Li+UAwAAaO88fhAAAMicLl26xCWXXJLXXlFR0aJ3az3yyCOpB1oRHkEIAABQiFALAADIpK9//eux5ZZb5rXfdNNNsWjRomYds/aKsa997WuRy+Va9FNRURF9+/bNO88rr7wSL7/8crNqBAAAyCqhFgAAkEldu3aN73znO3ntK1asiOuuu67Jx1u6dGlMnjy55vPXvva1lpQXEZ+sKDvhhBMKfme1FgAAQF1CLQAAILO++c1vxmabbZbXfsMNN8SyZcuadKy77rorVq9eHRERAwcOjIMOOiiRGusLx26//fZYu3ZtIucAAADIAqEWAACQWd27d4+LLroor33JkiXxi1/8oknHqr1y6qSTTooOHZK5nNpnn31i++23z2tfuHBh3H///YmcAwAAIAuEWgAAQKadc845Bd9bde2118aqVasadYy33norpk6dWvP55JNPTqy+ho7nEYQAAAD/JtQCAAAyrVevXnH++efntX/88cdx0003NeoYtcOlYcOGxS677JJYfRGfhFplZWV57Q899FDMmzcv0XMBAAC0VUItAAAg884777zo1atXXvtPf/rTWLNmTYP7VlZWxm233VbzOelVWhER2223Xey3334bPTcAAEB7JtQCAAAyr2/fvnHuuefmtc+bNy9uueWWBvf9f//v/8XcuXMjIqK8vDzGjBmTSo1f+9rXCrZPnDgxlfMBAAC0NUItAACgXbjooouiR48eee0/+clPYt26dfXuV/vRg6NGjYoBAwakUt/xxx8fXbt2zWv/17/+Fc8++2wq5wQAAGhLynK5XK7YRQAAAO1PoXdINcWECRPi1FNPbdI+3/72t+Oaa65p1LaHHXZYRERMmTKl5hGF22+/fQwdOrRmmy222CImTZrUpBqqvfrqqzFu3Lg6bVOnTo2lS5fmbbvjjjvGdtttV/N57NixMXbs2GadFwAAoK3qWOwCAAAAWsvFF18cv/rVr6KiomKj2z788MN5bdOnT4/p06fXfB40aFCza1m0aFHBcxTy9ttvx9tvv13zea+99mr2eQEAANoqoRYAAFAU1SuhmmvgwIFN3mfAgAHxwx/+MB599NEGt2ts2AQAAEDr8fhBAAAAAAAASl6HYhcAAAAAAAAAGyPUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOQJtQAAAAAAACh5Qi0AAAAAAABKnlALAAAAAACAkifUAgAAAAAAoOT9f4sYjXljF3VTAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 517,
       "width": 858
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_sample.plot_coverage(\n",
    "    center=SkyCoord(ra=132.8460000, dec=+11.8140000, unit='deg'),\n",
    "    fov=(Angle(\"20deg\"), Angle(\"20deg\")),\n",
    ")\n",
    "fig, ax = _sample.plot_pixels(\n",
    "    center=SkyCoord(ra=132.8460000, dec=+11.8140000, unit='deg'),\n",
    "    fov=(Angle(\"20deg\"), Angle(\"20deg\")),\n",
    "    edgecolor='grey',\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4aaa6134",
   "metadata": {},
   "source": [
    "## Fetch ZTF light curves for the samples\n",
    "\n",
    "We will now perform a join operation between our sample objects and their respective ZTF sources. We will use the PanSTARRS object ID, as this is the index that both catalogs share. This is where `nested-dask` features come in handy. Under the hood, this `join_nested` call packs the time-domain data of each object as an additional column, which we decided to conveniently named `sources`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "42d73d5f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:29:45.375550Z",
     "iopub.status.busy": "2024-11-11T07:29:45.375257Z",
     "iopub.status.idle": "2024-11-11T07:29:45.425808Z",
     "shell.execute_reply": "2024-11-11T07:29:45.425439Z",
     "shell.execute_reply.started": "2024-11-11T07:29:45.375536Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/notebook/lib/python3.11/site-packages/lsdb/dask/join_catalog_data.py:332: RuntimeWarning: Right catalog does not have a margin cache. Results may be incomplete and/or inaccurate.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><strong>lsdb Catalog ztf_dr14_x_gaia:</strong></div><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>ra_ztf_dr14</th>\n",
       "      <th>dec_ztf_dr14</th>\n",
       "      <th>ps1_objid_ztf_dr14</th>\n",
       "      <th>ra_gaia</th>\n",
       "      <th>dec_gaia</th>\n",
       "      <th>parallax_gaia</th>\n",
       "      <th>_dist_arcsec</th>\n",
       "      <th>sources</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=6</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>298644950290006016</th>\n",
       "      <td>double[pyarrow]</td>\n",
       "      <td>double[pyarrow]</td>\n",
       "      <td>int64[pyarrow]</td>\n",
       "      <td>double[pyarrow]</td>\n",
       "      <td>double[pyarrow]</td>\n",
       "      <td>double[pyarrow]</td>\n",
       "      <td>double[pyarrow]</td>\n",
       "      <td>nested&lt;ra: [double], dec: [double], mjd: [doub...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299207900243427328</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303992974847508480</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304274449824219136</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Dask NestedFrame Structure:\n",
       "                        ra_ztf_dr14     dec_ztf_dr14 ps1_objid_ztf_dr14          ra_gaia         dec_gaia    parallax_gaia     _dist_arcsec                                                                                                               sources\n",
       "npartitions=6                                                                                                                                                                                                                                                    \n",
       "298644950290006016  double[pyarrow]  double[pyarrow]     int64[pyarrow]  double[pyarrow]  double[pyarrow]  double[pyarrow]  double[pyarrow]  nested<ra: [double], dec: [double], mjd: [double], mag: [float], magerr: [float], band: [string], catflags: [int16]>\n",
       "299207900243427328              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...\n",
       "...                             ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...\n",
       "303992974847508480              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...\n",
       "304274449824219136              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...\n",
       "Dask Name: nestedframe, 3 expressions\n",
       "Expr=MapPartitions(NestedFrame)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_sources = _sample.join_nested(\n",
    "    ztf_sources, left_on=\"ps1_objid_ztf_dr14\", right_on=\"ps1_objid\", nested_column_name=\"sources\")\n",
    "_sources"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e3ada67",
   "metadata": {},
   "source": [
    "Note that we also get a warning stating that we are not using a margin catalog, as previously discussed in the first notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abe92867",
   "metadata": {},
   "source": [
    "## Filter on r-band\n",
    "\n",
    "Our workflow will only operate on r-band data. We can apply the necessary cuts to our data to make sure that only light curves that have at least 10 observations in r-band will be considered!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6995cde",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:29:45.426340Z",
     "iopub.status.busy": "2024-11-11T07:29:45.426210Z",
     "iopub.status.idle": "2024-11-11T07:29:45.455474Z",
     "shell.execute_reply": "2024-11-11T07:29:45.455129Z",
     "shell.execute_reply.started": "2024-11-11T07:29:45.426328Z"
    }
   },
   "outputs": [],
   "source": [
    "# Query for valid observations in r-band\n",
    "r_band = _sources.query(\n",
    "    \"sources.band == 'r'\"  # r-band only\n",
    "    \" and sources.catflags == 0\"  # good observational conditions\n",
    "    \" and sources.mag < 99\"  # valid magnitude\n",
    "    \" and 0 < sources.magerr < 99\"  # valid magnitude error\n",
    ")\n",
    "# Calculate the number of observations\n",
    "r_band = r_band.reduce(lambda mjd: {\"nobs\": mjd.size}, \"sources.mjd\", meta={\"nobs\": int}, append_columns=True)\n",
    "r_band = r_band.query(\"nobs > 10\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1e5d4039",
   "metadata": {
    "execution": {
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     "shell.execute_reply.started": "2024-11-11T07:29:45.455961Z"
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   "outputs": [
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      "text/plain": [
       "Dask NestedFrame Structure:\n",
       "                        ra_ztf_dr14     dec_ztf_dr14 ps1_objid_ztf_dr14          ra_gaia         dec_gaia    parallax_gaia     _dist_arcsec                                                                                                               sources   nobs\n",
       "npartitions=6                                                                                                                                                                                                                                                           \n",
       "298644950290006016  double[pyarrow]  double[pyarrow]     int64[pyarrow]  double[pyarrow]  double[pyarrow]  double[pyarrow]  double[pyarrow]  nested<ra: [double], dec: [double], mjd: [double], mag: [float], magerr: [float], band: [string], catflags: [int16]>  int64\n",
       "299207900243427328              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...\n",
       "...                             ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...\n",
       "303992974847508480              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...\n",
       "304274449824219136              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...\n",
       "Dask Name: lambda, 7 expressions\n",
       "Expr=MapPartitions(lambda)"
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    "r_band"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.47 s, sys: 754 ms, total: 2.22 s\n",
      "Wall time: 20.7 s\n"
     ]
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      ],
      "text/plain": [
       "                    ra_ztf_dr14  dec_ztf_dr14  ps1_objid_ztf_dr14     ra_gaia  \\\n",
       "_healpix_29                                                                     \n",
       "298908806134124139     133.2337     10.485653  120581332336983267  133.233718   \n",
       "298908810706785769   133.224741     10.485489  120581332247203053  133.224727   \n",
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       "298920356055544103    133.35658     10.524734  120631333565320137  133.356574   \n",
       "298920365329078665   133.379456      10.52903  120631333794875301  133.379471   \n",
       "...                         ...           ...                 ...         ...   \n",
       "304104164045541160   132.783272      13.19324  123831327832352378  132.783269   \n",
       "304105129564083317   132.632037     13.177743  123811326320263743  132.632043   \n",
       "304105132512712531   132.630009     13.182842  123811326300059917  132.630009   \n",
       "304107394409430043   132.387271     13.118148  123741323872472269  132.387278   \n",
       "304107395333625368   132.383265     13.118441  123741323832702604  132.383255   \n",
       "\n",
       "                     dec_gaia  parallax_gaia  _dist_arcsec  \\\n",
       "_healpix_29                                                  \n",
       "298908806134124139  10.485637       0.445226      0.085933   \n",
       "298908810706785769  10.485452       0.621834      0.141202   \n",
       "298908811338617360  10.486761       0.777203      0.077445   \n",
       "298920356055544103  10.524717       0.959385      0.065692   \n",
       "298920365329078665  10.529019           <NA>      0.067189   \n",
       "...                       ...            ...           ...   \n",
       "304104164045541160  13.193228           <NA>      0.044713   \n",
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       "304105132512712531  13.182812       0.450537      0.110055   \n",
       "304107394409430043  13.118103        0.35011      0.163959   \n",
       "304107395333625368  13.118364           <NA>      0.280403   \n",
       "\n",
       "                                                              sources  nobs  \n",
       "_healpix_29                                                                  \n",
       "298908806134124139             ra        dec          mjd        m...   433  \n",
       "298908810706785769               ra        dec          mjd       ...   554  \n",
       "298908811338617360               ra        dec          mjd       ...   617  \n",
       "298920356055544103              ra        dec          mjd        ...   619  \n",
       "298920365329078665               ra       dec          mjd        ...   117  \n",
       "...                                                               ...   ...  \n",
       "304104164045541160               ra       dec          mjd        ...   123  \n",
       "304105129564083317               ra        dec          mjd       ...   192  \n",
       "304105132512712531               ra        dec          mjd       ...   662  \n",
       "304107394409430043               ra        dec          mjd       ...   434  \n",
       "304107395333625368               ra        dec          mjd       ...   133  \n",
       "\n",
       "[35597 rows x 9 columns]"
      ]
     },
     "execution_count": 13,
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    }
   ],
   "source": [
    "%%time\n",
    "# Cache the data in memory - we will use it later again\n",
    "r_band._ddf = r_band._ddf.persist()\n",
    "# Convert lsdb.Catalog to pandas.DataFrame\n",
    "r_band.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29484dc1",
   "metadata": {},
   "source": [
    "## Extract features from light curves\n",
    "\n",
    "We will now write custom analysis functions to compute features (statistics) on each light curve. Some of these timeseries features (e.g. Von Neumann, excess variance) characterize the amount of outliers in the timeseries. They have been heavily used in literature, for example, to find variable stars."
   ]
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  {
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   "outputs": [
    {
     "data": {
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       "<div><strong>lsdb Catalog ztf_dr14_x_gaia:</strong></div><div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ra_ztf_dr14</th>\n",
       "      <th>dec_ztf_dr14</th>\n",
       "      <th>ps1_objid_ztf_dr14</th>\n",
       "      <th>ra_gaia</th>\n",
       "      <th>dec_gaia</th>\n",
       "      <th>parallax_gaia</th>\n",
       "      <th>_dist_arcsec</th>\n",
       "      <th>sources</th>\n",
       "      <th>nobs</th>\n",
       "      <th>period_0</th>\n",
       "      <th>period_s_to_n_0</th>\n",
       "      <th>weighted_mean</th>\n",
       "      <th>eta</th>\n",
       "      <th>excess_variance</th>\n",
       "      <th>amplitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=6</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "</div>"
      ],
      "text/plain": [
       "Dask NestedFrame Structure:\n",
       "                        ra_ztf_dr14     dec_ztf_dr14 ps1_objid_ztf_dr14          ra_gaia         dec_gaia    parallax_gaia     _dist_arcsec                                                                                                               sources   nobs period_0 period_s_to_n_0 weighted_mean      eta excess_variance amplitude\n",
       "npartitions=6                                                                                                                                                                                                                                                                                                                                     \n",
       "298644950290006016  double[pyarrow]  double[pyarrow]     int64[pyarrow]  double[pyarrow]  double[pyarrow]  double[pyarrow]  double[pyarrow]  nested<ra: [double], dec: [double], mjd: [double], mag: [float], magerr: [float], band: [string], catflags: [int16]>  int64  float32         float32       float32  float32         float32   float32\n",
       "299207900243427328              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...      ...             ...           ...      ...             ...       ...\n",
       "...                             ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...      ...             ...           ...      ...             ...       ...\n",
       "303992974847508480              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...      ...             ...           ...      ...             ...       ...\n",
       "304274449824219136              ...              ...                ...              ...              ...              ...              ...                                                                                                                   ...    ...      ...             ...           ...      ...             ...       ...\n",
       "Dask Name: nestedframe, 3 expressions\n",
       "Expr=MapPartitions(NestedFrame)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extractor = licu.Extractor(\n",
    "    licu.Periodogram(\n",
    "        peaks=1,\n",
    "        max_freq_factor=10.0,\n",
    "        resolution=50.0,\n",
    "        # nyquist='median',\n",
    "        # fast=True,\n",
    "    ),  # Would give two features: peak period and signa-to-noise ratio of the peak\n",
    "    licu.WeightedMean(),  # Mean magnitude\n",
    "    licu.Eta(),  # Von Neumann's eta statistics\n",
    "    licu.ExcessVariance(),  # Excess variance statistics\n",
    "    licu.Amplitude(),  # 0.5 * [max(mag) - min(mag)]\n",
    ")\n",
    "\n",
    "\n",
    "# light-curve package requires all arrays to be the same dtype.\n",
    "# It also requires the time array to be ordered and to have no duplicates.\n",
    "def calc_features(mjd, mag, magerr, **kwargs):\n",
    "    # We offset date, so we still would have <1 second precision\n",
    "    t = np.asarray(mjd - 60000, dtype=np.float32)\n",
    "    _, sort_index = np.unique(t, return_index=True)\n",
    "    features = extractor(\n",
    "        t[sort_index],\n",
    "        mag[sort_index],\n",
    "        magerr[sort_index],\n",
    "        **kwargs,\n",
    "    )\n",
    "    # Return the features as a dictionary\n",
    "    return dict(zip(extractor.names, features))\n",
    "\n",
    "\n",
    "features = r_band.reduce(\n",
    "    calc_features,\n",
    "    \"sources.mjd\",\n",
    "    \"sources.mag\",\n",
    "    \"sources.magerr\",\n",
    "    meta={name: np.float32 for name in extractor.names},\n",
    "    append_columns=True,\n",
    ")\n",
    "features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22af4c82",
   "metadata": {},
   "source": [
    "We can now apply the feature calculator function `calc_features` to each light curve."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c79e10e3",
   "metadata": {},
   "source": [
    "Let's compute the result (bring it into memory). This will take a minute or two and display some expected runtime warnings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0f1e2ff1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:30:06.256056Z",
     "iopub.status.busy": "2024-11-11T07:30:06.255932Z",
     "iopub.status.idle": "2024-11-11T07:31:22.228919Z",
     "shell.execute_reply": "2024-11-11T07:31:22.228506Z",
     "shell.execute_reply.started": "2024-11-11T07:30:06.256044Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4.18 s, sys: 1.36 s, total: 5.54 s\n",
      "Wall time: 1min 15s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "features_computed = features.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d88f8bda",
   "metadata": {},
   "source": [
    "Let's inspect the results table and make some plots of our time series features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a2709bbd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:31:22.229443Z",
     "iopub.status.busy": "2024-11-11T07:31:22.229318Z",
     "iopub.status.idle": "2024-11-11T07:31:22.288169Z",
     "shell.execute_reply": "2024-11-11T07:31:22.287667Z",
     "shell.execute_reply.started": "2024-11-11T07:31:22.229430Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <td>13.182812</td>\n",
       "      <td>0.450537</td>\n",
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       "      <td>7.878578</td>\n",
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       "      <td>13.118364</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
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       "      <td>ra        dec          mjd       ...</td>\n",
       "      <td>133</td>\n",
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       "      <td>7.969562e-05</td>\n",
       "      <td>0.792560</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35597 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    ra_ztf_dr14  dec_ztf_dr14  ps1_objid_ztf_dr14     ra_gaia  \\\n",
       "_healpix_29                                                                     \n",
       "298908806134124139     133.2337     10.485653  120581332336983267  133.233718   \n",
       "298908810706785769   133.224741     10.485489  120581332247203053  133.224727   \n",
       "298908811338617360   133.225766     10.486782  120581332257664629   133.22577   \n",
       "298920356055544103    133.35658     10.524734  120631333565320137  133.356574   \n",
       "298920365329078665   133.379456      10.52903  120631333794875301  133.379471   \n",
       "...                         ...           ...                 ...         ...   \n",
       "304104164045541160   132.783272      13.19324  123831327832352378  132.783269   \n",
       "304105129564083317   132.632037     13.177743  123811326320263743  132.632043   \n",
       "304105132512712531   132.630009     13.182842  123811326300059917  132.630009   \n",
       "304107394409430043   132.387271     13.118148  123741323872472269  132.387278   \n",
       "304107395333625368   132.383265     13.118441  123741323832702604  132.383255   \n",
       "\n",
       "                     dec_gaia  parallax_gaia  _dist_arcsec  \\\n",
       "_healpix_29                                                  \n",
       "298908806134124139  10.485637       0.445226      0.085933   \n",
       "298908810706785769  10.485452       0.621834      0.141202   \n",
       "298908811338617360  10.486761       0.777203      0.077445   \n",
       "298920356055544103  10.524717       0.959385      0.065692   \n",
       "298920365329078665  10.529019           <NA>      0.067189   \n",
       "...                       ...            ...           ...   \n",
       "304104164045541160  13.193228           <NA>      0.044713   \n",
       "304105129564083317  13.177703           <NA>      0.144951   \n",
       "304105132512712531  13.182812       0.450537      0.110055   \n",
       "304107394409430043  13.118103        0.35011      0.163959   \n",
       "304107395333625368  13.118364           <NA>      0.280403   \n",
       "\n",
       "                                                              sources  nobs  \\\n",
       "_healpix_29                                                                   \n",
       "298908806134124139             ra        dec          mjd        m...   433   \n",
       "298908810706785769               ra        dec          mjd       ...   554   \n",
       "298908811338617360               ra        dec          mjd       ...   617   \n",
       "298920356055544103              ra        dec          mjd        ...   619   \n",
       "298920365329078665               ra       dec          mjd        ...   117   \n",
       "...                                                               ...   ...   \n",
       "304104164045541160               ra       dec          mjd        ...   123   \n",
       "304105129564083317               ra        dec          mjd       ...   192   \n",
       "304105132512712531               ra        dec          mjd       ...   662   \n",
       "304107394409430043               ra        dec          mjd       ...   434   \n",
       "304107395333625368               ra        dec          mjd       ...   133   \n",
       "\n",
       "                      period_0  period_s_to_n_0  weighted_mean       eta  \\\n",
       "_healpix_29                                                                \n",
       "298908806134124139   13.712035         6.092119      20.066423  1.883534   \n",
       "298908810706785769   22.553490         9.768695      19.509542  1.901245   \n",
       "298908811338617360    0.994467        12.349881      17.778355  1.890379   \n",
       "298920356055544103   32.060345         7.653740      17.070063  2.044448   \n",
       "298920365329078665  393.842041         6.134315      20.955448  1.389496   \n",
       "...                        ...              ...            ...       ...   \n",
       "304104164045541160    6.759282         5.674912      20.911787  1.275877   \n",
       "304105129564083317    6.298652         5.215721      20.759050  1.385726   \n",
       "304105132512712531    3.580417         7.878578      18.013182  1.908359   \n",
       "304107394409430043   11.644637         8.954330      20.001984  1.718519   \n",
       "304107395333625368   29.222864         5.628187      20.746454  1.194522   \n",
       "\n",
       "                    excess_variance  amplitude  \n",
       "_healpix_29                                     \n",
       "298908806134124139     1.248448e-05   0.531452  \n",
       "298908810706785769     2.602828e-06   0.455820  \n",
       "298908811338617360     8.820615e-07   0.143515  \n",
       "298920356055544103     7.492072e-07   0.173036  \n",
       "298920365329078665     1.076231e-05   0.640379  \n",
       "...                             ...        ...  \n",
       "304104164045541160     6.990520e-05   0.789389  \n",
       "304105129564083317     2.859557e-05   0.707532  \n",
       "304105132512712531     7.684268e-07   0.147476  \n",
       "304107394409430043     3.696693e-06   0.657091  \n",
       "304107395333625368     7.969562e-05   0.792560  \n",
       "\n",
       "[35597 rows x 15 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We have the results!\n",
    "features_computed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30a0db6e",
   "metadata": {},
   "source": [
    "In this figure we demonstrate the periods corresponding to highest power in the Lomb Scargle periodogram. Immediately, we can see a few overdensities of period, that are likely originating from the ZTF aliasing sampling cadence. Between those aliasing periods, those with high SNR score are possible periodic candidates that will require further investigation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "04f38bc0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:31:22.288990Z",
     "iopub.status.busy": "2024-11-11T07:31:22.288663Z",
     "iopub.status.idle": "2024-11-11T07:31:22.624970Z",
     "shell.execute_reply": "2024-11-11T07:31:22.624539Z",
     "shell.execute_reply.started": "2024-11-11T07:31:22.288977Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 459,
       "width": 637
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lg_period_bins = np.linspace(-0.5, 2.5, 101)\n",
    "lg_snr_bins = np.linspace(0.5, 1.5, 101)\n",
    "plt.hist2d(\n",
    "    np.log10(features_computed[\"period_0\"]),\n",
    "    np.log10(features_computed[\"period_s_to_n_0\"]),\n",
    "    bins=[lg_period_bins, lg_snr_bins],\n",
    "    norm=LogNorm(),\n",
    ")\n",
    "plt.colorbar(label=\"count\")\n",
    "plt.xlabel('lg(Period/day)')\n",
    "plt.ylabel('lg(Periodogram Peak S/N)')\n",
    "plt.minorticks_on()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54ac1a06",
   "metadata": {},
   "source": [
    "Below is the ZTF periodogram where also observe the aliasing sampling periods. For more information about periodograms please have a look at the [references](#References) section of this notebook.\n",
    "\n",
    "![ZTF periodogram](https://raw.githubusercontent.com/lincc-frameworks/MWGaia-DN_Introductory_School/main/assets/ztf-periodogram.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afe4b7fe",
   "metadata": {},
   "source": [
    "## Plot light curve\n",
    "\n",
    "We can now find a ZTF object with a high period SNR and that is bright, and plot the ZTF-r band light curve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8eeac50e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:31:22.625533Z",
     "iopub.status.busy": "2024-11-11T07:31:22.625393Z",
     "iopub.status.idle": "2024-11-11T07:31:23.926968Z",
     "shell.execute_reply": "2024-11-11T07:31:23.926532Z",
     "shell.execute_reply.started": "2024-11-11T07:31:22.625520Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ra_ztf_dr14</th>\n",
       "      <th>dec_ztf_dr14</th>\n",
       "      <th>ps1_objid_ztf_dr14</th>\n",
       "      <th>ra_gaia</th>\n",
       "      <th>dec_gaia</th>\n",
       "      <th>parallax_gaia</th>\n",
       "      <th>_dist_arcsec</th>\n",
       "      <th>sources</th>\n",
       "      <th>nobs</th>\n",
       "      <th>period_0</th>\n",
       "      <th>period_s_to_n_0</th>\n",
       "      <th>weighted_mean</th>\n",
       "      <th>eta</th>\n",
       "      <th>excess_variance</th>\n",
       "      <th>amplitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>_healpix_29</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>304020453909162392</th>\n",
       "      <td>132.369357</td>\n",
       "      <td>12.630025</td>\n",
       "      <td>123151323693776471</td>\n",
       "      <td>132.369366</td>\n",
       "      <td>12.629995</td>\n",
       "      <td>0.997652</td>\n",
       "      <td>0.114896</td>\n",
       "      <td>ra        dec          mjd       ...</td>\n",
       "      <td>611</td>\n",
       "      <td>51.210102</td>\n",
       "      <td>23.021568</td>\n",
       "      <td>17.608391</td>\n",
       "      <td>1.200382</td>\n",
       "      <td>2.604891e-06</td>\n",
       "      <td>0.122932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302555262975239951</th>\n",
       "      <td>133.427161</td>\n",
       "      <td>12.554946</td>\n",
       "      <td>123061334272106381</td>\n",
       "      <td>133.427181</td>\n",
       "      <td>12.554904</td>\n",
       "      <td>0.457355</td>\n",
       "      <td>0.166037</td>\n",
       "      <td>ra        dec          mjd       ...</td>\n",
       "      <td>578</td>\n",
       "      <td>61.499851</td>\n",
       "      <td>23.475756</td>\n",
       "      <td>19.338057</td>\n",
       "      <td>1.569203</td>\n",
       "      <td>6.907491e-06</td>\n",
       "      <td>0.478012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299372020469511980</th>\n",
       "      <td>132.155241</td>\n",
       "      <td>10.782379</td>\n",
       "      <td>120931321552409318</td>\n",
       "      <td>132.155245</td>\n",
       "      <td>10.782355</td>\n",
       "      <td>0.051167</td>\n",
       "      <td>0.088267</td>\n",
       "      <td>ra        dec          mjd       ...</td>\n",
       "      <td>585</td>\n",
       "      <td>162.645767</td>\n",
       "      <td>23.511620</td>\n",
       "      <td>15.835193</td>\n",
       "      <td>0.045749</td>\n",
       "      <td>1.328978e-03</td>\n",
       "      <td>1.412745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299383603020712620</th>\n",
       "      <td>131.836029</td>\n",
       "      <td>11.062713</td>\n",
       "      <td>121271318360275742</td>\n",
       "      <td>131.836029</td>\n",
       "      <td>11.062688</td>\n",
       "      <td>0.212047</td>\n",
       "      <td>0.092564</td>\n",
       "      <td>ra        dec          mjd       ...</td>\n",
       "      <td>566</td>\n",
       "      <td>2.209234</td>\n",
       "      <td>26.212900</td>\n",
       "      <td>17.610193</td>\n",
       "      <td>1.287198</td>\n",
       "      <td>7.539421e-06</td>\n",
       "      <td>0.170574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301026083017518503</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>122771316770509238</td>\n",
       "      <td>131.677051</td>\n",
       "      <td>12.315603</td>\n",
       "      <td>0.30964</td>\n",
       "      <td>0.142529</td>\n",
       "      <td>ra       dec          mjd        ...</td>\n",
       "      <td>570</td>\n",
       "      <td>0.724741</td>\n",
       "      <td>29.706047</td>\n",
       "      <td>15.488962</td>\n",
       "      <td>1.652508</td>\n",
       "      <td>8.340544e-07</td>\n",
       "      <td>0.063979</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    ra_ztf_dr14  dec_ztf_dr14  ps1_objid_ztf_dr14     ra_gaia  \\\n",
       "_healpix_29                                                                     \n",
       "304020453909162392   132.369357     12.630025  123151323693776471  132.369366   \n",
       "302555262975239951   133.427161     12.554946  123061334272106381  133.427181   \n",
       "299372020469511980   132.155241     10.782379  120931321552409318  132.155245   \n",
       "299383603020712620   131.836029     11.062713  121271318360275742  131.836029   \n",
       "301026083017518503   131.677039      12.31564  122771316770509238  131.677051   \n",
       "\n",
       "                     dec_gaia  parallax_gaia  _dist_arcsec  \\\n",
       "_healpix_29                                                  \n",
       "304020453909162392  12.629995       0.997652      0.114896   \n",
       "302555262975239951  12.554904       0.457355      0.166037   \n",
       "299372020469511980  10.782355       0.051167      0.088267   \n",
       "299383603020712620  11.062688       0.212047      0.092564   \n",
       "301026083017518503  12.315603        0.30964      0.142529   \n",
       "\n",
       "                                                              sources  nobs  \\\n",
       "_healpix_29                                                                   \n",
       "304020453909162392               ra        dec          mjd       ...   611   \n",
       "302555262975239951               ra        dec          mjd       ...   578   \n",
       "299372020469511980               ra        dec          mjd       ...   585   \n",
       "299383603020712620               ra        dec          mjd       ...   566   \n",
       "301026083017518503               ra       dec          mjd        ...   570   \n",
       "\n",
       "                      period_0  period_s_to_n_0  weighted_mean       eta  \\\n",
       "_healpix_29                                                                \n",
       "304020453909162392   51.210102        23.021568      17.608391  1.200382   \n",
       "302555262975239951   61.499851        23.475756      19.338057  1.569203   \n",
       "299372020469511980  162.645767        23.511620      15.835193  0.045749   \n",
       "299383603020712620    2.209234        26.212900      17.610193  1.287198   \n",
       "301026083017518503    0.724741        29.706047      15.488962  1.652508   \n",
       "\n",
       "                    excess_variance  amplitude  \n",
       "_healpix_29                                     \n",
       "304020453909162392     2.604891e-06   0.122932  \n",
       "302555262975239951     6.907491e-06   0.478012  \n",
       "299372020469511980     1.328978e-03   1.412745  \n",
       "299383603020712620     7.539421e-06   0.170574  \n",
       "301026083017518503     8.340544e-07   0.063979  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select good SNR candidate\n",
    "# Filter out bogus periods\n",
    "good_periods = features_computed.query(\n",
    "    \"period_0 < 400\"  # large periods are likely to be bogus, e.g. about of duration of light curve\n",
    "    \" and not(29 < period_0 < 30)\"  # lunar month\n",
    "    \" and not(0.95 < period_0 < 1.05)\"  # day\n",
    ")\n",
    "# Select bright stars with highest S/N of the peridogram peak\n",
    "top5 = good_periods.sort_values('period_s_to_n_0').tail(5)\n",
    "top5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bf2814c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:31:23.927547Z",
     "iopub.status.busy": "2024-11-11T07:31:23.927408Z",
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     "shell.execute_reply": "2024-11-11T07:31:23.935669Z",
     "shell.execute_reply.started": "2024-11-11T07:31:23.927534Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ra</th>\n",
       "      <th>dec</th>\n",
       "      <th>mjd</th>\n",
       "      <th>mag</th>\n",
       "      <th>magerr</th>\n",
       "      <th>band</th>\n",
       "      <th>catflags</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>131.677039</td>\n",
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       "      <td>59196.38358</td>\n",
       "      <td>15.490785</td>\n",
       "      <td>0.012778</td>\n",
       "      <td>r</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59221.27017</td>\n",
       "      <td>15.519132</td>\n",
       "      <td>0.012804</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59150.52629</td>\n",
       "      <td>15.475466</td>\n",
       "      <td>0.012765</td>\n",
       "      <td>r</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59152.48175</td>\n",
       "      <td>15.500073</td>\n",
       "      <td>0.012787</td>\n",
       "      <td>r</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59155.49781</td>\n",
       "      <td>15.516324</td>\n",
       "      <td>0.012802</td>\n",
       "      <td>r</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59697.17633</td>\n",
       "      <td>15.467032</td>\n",
       "      <td>0.012758</td>\n",
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       "      <th>566</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59701.20130</td>\n",
       "      <td>15.502284</td>\n",
       "      <td>0.012789</td>\n",
       "      <td>r</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59290.24002</td>\n",
       "      <td>15.496457</td>\n",
       "      <td>0.012783</td>\n",
       "      <td>r</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>131.677039</td>\n",
       "      <td>12.31564</td>\n",
       "      <td>59336.20541</td>\n",
       "      <td>15.466855</td>\n",
       "      <td>0.012758</td>\n",
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       "    <tr>\n",
       "      <th>569</th>\n",
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       "      <td>12.31564</td>\n",
       "      <td>58803.39425</td>\n",
       "      <td>15.506560</td>\n",
       "      <td>0.012792</td>\n",
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       "<p>570 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             ra       dec          mjd        mag    magerr band  catflags\n",
       "0    131.677039  12.31564  59196.38358  15.490785  0.012778    r         0\n",
       "1    131.677039  12.31564  59221.27017  15.519132  0.012804    r         0\n",
       "2    131.677039  12.31564  59150.52629  15.475466  0.012765    r         0\n",
       "3    131.677039  12.31564  59152.48175  15.500073  0.012787    r         0\n",
       "4    131.677039  12.31564  59155.49781  15.516324  0.012802    r         0\n",
       "..          ...       ...          ...        ...       ...  ...       ...\n",
       "565  131.677039  12.31564  59697.17633  15.467032  0.012758    r         0\n",
       "566  131.677039  12.31564  59701.20130  15.502284  0.012789    r         0\n",
       "567  131.677039  12.31564  59290.24002  15.496457  0.012783    r         0\n",
       "568  131.677039  12.31564  59336.20541  15.466855  0.012758    r         0\n",
       "569  131.677039  12.31564  58803.39425  15.506560  0.012792    r         0\n",
       "\n",
       "[570 rows x 7 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select a light curve with high SNR\n",
    "i = 4\n",
    "best_period = top5['period_0'].iloc[i]  # (in days) best period from the above table\n",
    "lc = top5['sources'].iloc[i]\n",
    "lc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f5644e6",
   "metadata": {},
   "source": [
    "When we fold the light curve on the correct period the scatter between the points is minimized, and therefore, the observations line up."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d0e0dbe0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:31:23.936560Z",
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     "shell.execute_reply": "2024-11-11T07:31:24.444681Z",
     "shell.execute_reply.started": "2024-11-11T07:31:23.936549Z"
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   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1300x500 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 460,
       "width": 1258
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(13, 5))\n",
    "\n",
    "ax[0].errorbar(\n",
    "    lc[\"mjd\"],\n",
    "    lc[\"mag\"],\n",
    "    yerr=lc[\"magerr\"], \n",
    "    fmt='.',\n",
    "    color='indianred'\n",
    ")\n",
    "\n",
    "ax[1].errorbar((lc[\"mjd\"].to_numpy()%best_period)/best_period, lc[\"mag\"],\n",
    "                yerr=lc[\"magerr\"], fmt='.', color='#AA4A44')\n",
    "ax[1].set_xlabel('Phase')\n",
    "ax[0].set_xlabel('Time [MJD]')\n",
    "ax[1].tick_params(axis='x', which='both', bottom=True, top=True, direction='in')\n",
    "ax[0].tick_params(axis='x', which='both', bottom=True, top=True, direction='in')\n",
    "ax[1].tick_params(axis='y', which='both', bottom=True, top=True, direction='in')\n",
    "ax[0].tick_params(axis='y', which='both', bottom=True, top=True, direction='in')\n",
    "ax[0].set_ylabel('Magnitude')\n",
    "ax[0].invert_yaxis()\n",
    "ax[1].invert_yaxis()\n",
    "ax[0].set_title(\"Observed\", weight='bold')\n",
    "ax[1].set_title(f\"Phase-folded, P={best_period:.2f}d\", weight='bold')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da941656",
   "metadata": {},
   "source": [
    "## Extra topics\n",
    "\n",
    "### Existing feature extractors\n",
    "\n",
    "In this notebook we demonstrated how you can define and use your own custom functions to operate on light curves. There are also third-party packages that extract common features so that you don't have to implement these operations yourself (e.g. [`light-curve`](https://github.com/light-curve/light-curve-python) package). For more information please read the following [tutorial](https://nested-dask.readthedocs.io/en/latest/tutorials/work_with_lsdb.html#Extract-features-from-ZTF-light-curves)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89e1dc66-2eaa-4f56-a0a8-2c6f1d435ab9",
   "metadata": {},
   "source": [
    "### Example of very large analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c61bc81-67a6-4647-b82a-6e3442e89b50",
   "metadata": {},
   "source": [
    "This is an example of a similar analysis as above, but on the entire ZTF DR14 dataset, extracting periods from ~billion light curves. The computation took 90 minutes on the Pittsburgh Supercomputer Center resourcees. We used a 256GB manager node and 50 × 32GB workers (3 threads per worker) allocated as a 50 SLURM jobs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0c896445-0bf8-4fea-b9fd-6bb8e3dc0afa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:31:24.445785Z",
     "iopub.status.busy": "2024-11-11T07:31:24.445638Z",
     "iopub.status.idle": "2024-11-11T07:31:24.478785Z",
     "shell.execute_reply": "2024-11-11T07:31:24.478388Z",
     "shell.execute_reply.started": "2024-11-11T07:31:24.445771Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"800\"\n",
       "            height=\"450\"\n",
       "            src=\"https://www.youtube.com/embed/04lGbtNTzZw\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x7f46d81f0c10>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo\n",
    "\n",
    "YouTubeVideo('04lGbtNTzZw', width=800, height=450)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39f36bb2-783b-467e-a6a3-539d1447a839",
   "metadata": {},
   "source": [
    "#### Close the DASK client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c1794235",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-11T07:31:24.479315Z",
     "iopub.status.busy": "2024-11-11T07:31:24.479191Z",
     "iopub.status.idle": "2024-11-11T07:31:25.162118Z",
     "shell.execute_reply": "2024-11-11T07:31:25.161720Z",
     "shell.execute_reply.started": "2024-11-11T07:31:24.479303Z"
    }
   },
   "outputs": [],
   "source": [
    "# Release allocated resources!\n",
    "client.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a53b354f",
   "metadata": {},
   "source": [
    "### References\n",
    "\n",
    "[1]: https://iopscience.iop.org/article/10.3847/1538-4365/aab766 \\\n",
    "[2]: https://academic.oup.com/mnras/article/505/2/2954/6284767 \\\n",
    "[3]: https://www.astroml.org/gatspy/periodic/lomb_scargle_multiband.html \\\n",
    "[4]: Science with ZTF: https://iopscience.iop.org/article/10.1088/1538-3873/ab006c/pdf \\\n",
    "[5]: https://www.youtube.com/watch?v=2EwtD3Nhazs"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "notebook",
   "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": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}