CoastLine.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "081bdeb7",
   "metadata": {},
   "source": [
    "# Compute the coast line\n",
    "\n",
    "From the NEMO mask, builds the coastline for nice maps with the real coastline of the ocean model.\n",
    "\n",
    "Tested with **ORCA2.3**, **eORCA1.2**, **eORCA025**, **eORCA1.4.2** and **paleo ORCA2.3 90Ma**\n",
    "\n",
    "Olivier Marti - olivier.marti@lsce.ipsl.fr - 2022/08/28"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1adae34b",
   "metadata": {},
   "source": [
    "# Licence \n",
    "This software is governed by the CeCILL  license under French law and abiding by the rules of distribution of free software.  You can  use, modify and/ or redistribute the software under the terms of the CeCILL license as circulated by CEA, CNRS and INRIA at the following URL \"http://www.cecill.info\".\n",
    "\n",
    "Warning, to install, configure, run, use any of Olivier Marti's software or to read the associated documentation you'll need at least one (1) brain in a reasonably working order. Lack of this implement will void any warranties (either express or implied). O. Marti assumes no responsability for errors, omissions, data loss, or any other consequences caused directly or indirectly by the usage of his software by incorrectly or partially configured personal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f127289e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np, xarray as xr\n",
    "import nemo\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl, cartopy.mpl.ticker\n",
    "import cartopy.crs as ccrs, cartopy\n",
    "import importlib, os, platform, datetime\n",
    "from matplotlib.path import Path\n",
    "import matplotlib.patches as mpatches\n",
    "import shapely as shp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab055154",
   "metadata": {},
   "source": [
    "# Choose ORCA config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5ada6371",
   "metadata": {},
   "outputs": [],
   "source": [
    "#f_Mask  = '/Users/marti/GRAF/DATA/ORCA2.3_coordinates_mask.nc' ; nperio = 4 ; Model = 'orca2.3' \n",
    "#f_Coord = '/Users/marti/GRAF/DATA/coordinates_ORCA2.3.nc'\n",
    "\n",
    "#f_Mask  = '/Users/marti/GRAF/DATA/eORCA1.2_mesh_mask.nc' ; nperio = 6 ; Model = 'eorca1.2' ; f_Coord = f_Mask\n",
    "#f_Coord = '/Users/marti/GRAF/DATA/eORCA1.2_coordinates_mask.nc' ; nperio = 6 ; Model = 'eorca1.2'\n",
    "\n",
    "#f_Coord = '/Users/marti/GRAF/DATA/coordinates_eORCA1.2.nc' \n",
    "#f_Mask = f_Coord\n",
    "\n",
    "#f_Mask = '/Users/marti/GRAF/DATA/orca2.3_lgm.nc' ; nperio=4 ; Model = 'orca2.3_lgm' ; f_Coord = f_Mask\n",
    "\n",
    "f_Mask  = '/Users/marti/GRAF/DATA/eORCA025_coordinates_mask.nc' ; nperio=6 ; Model='eORCA025'\n",
    "f_Coord = '/Users/marti/GRAF/DATA/eORCA025_coordinates.nc'\n",
    "\n",
    "#f_Mask  = '/Users/marti/Data/MOSAIXLGM/MOSAIX90Ma/ORCA2.3_paleo90MA_coordinates_mask.nc' ; nperio=6 ; Model='ORCA2.3_paleo90MA'\n",
    "#f_Coord = '/Users/marti/Data/MOSAIXLGM/MOSAIX90Ma/coordinates_paleo90MA.nc'\n",
    "\n",
    "#f_Mask  = '/Users/marti/Data/PaleoOrca2/new_deepmip_corr_standard_coordinates_mask.nc'\n",
    "#f_Coord = f_Mask ; nperio=6 ; Model='orca2_deepmip'\n",
    "\n",
    "#f_Mask  = '/Users/marti/GRAF/DATA/eORCA1.4.2_ClosedSeasNew_ModifStraits_mesh_mask.nc' ; nperio=6.2 ; Model='eorca1.4.2'\n",
    "#f_Coord = '/Users/marti/GRAF/DATA/eORCA1.4.2_ClosedSeasNew_ModifStraits_domain_cfg.nc' "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f4a0775",
   "metadata": {},
   "source": [
    "## Reading the input file(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2905416a",
   "metadata": {},
   "outputs": [],
   "source": [
    "d_Mask = xr.open_dataset (f_Mask, decode_times=False).squeeze()\n",
    "if f_Coord == f_Mask : d_Coord = d_Mask\n",
    "else                 : d_Coord = xr.open_dataset (f_Coord, decode_times=False).squeeze()\n",
    "\n",
    "udims = nemo.UDIMS\n",
    "d_Coord = nemo.unify_dims (d_Coord, **udims)\n",
    "d_Mask  = nemo.unify_dims (d_Mask , **udims)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31aebc25",
   "metadata": {},
   "source": [
    "### Compute grids boxes caracteristics : mask and position of corners"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e6178c9a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Masks at center of the grid boxes\n",
    "if 'tmask' in  d_Mask.variables : \n",
    "    maskC = xr.where ( d_Mask.tmask.isel(olevel=0)>0.5, 1.0, 0.0 ) \n",
    "if 'mask_T' in  d_Mask.variables : \n",
    "    maskC = xr.where ( d_Mask.mask_T>0.5, 1.0, 0.0 ) \n",
    "    \n",
    "maskC = nemo.lbc (maskC, cd_type='T', nperio=nperio)\n",
    "\n",
    "# Coordinates of the corners of the grid boxes\n",
    "if 'glamf' in d_Coord.variables : \n",
    "    lonE = d_Coord.glamf          \n",
    "    latE = d_Coord.gphif\n",
    "if 'nav_lon_grid_T' in d_Coord.variables : \n",
    "    lonE = d_Coord.nav_lon_grid_T\n",
    "    latE = d_Coord.nav_lat_grid_T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa9fb020",
   "metadata": {},
   "source": [
    "### If needed (for NEMO $\\ge$ 4.2)\n",
    "\n",
    "The algorithm needs that periodicity and north folding points are present.\n",
    "`nemo.lbc_add` adds these points for `nperio` in [4.2, 6.2]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d28a0bf7",
   "metadata": {},
   "outputs": [],
   "source": [
    "if nperio == 4.2 or nperio == 6.2 :\n",
    "    maskC = nemo.lbc_add (maskC, cd_type='T', nperio=nperio)\n",
    "    lonE  = nemo.lbc_add (lonE , cd_type='F', nperio=nperio)\n",
    "    latE  = nemo.lbc_add (latE , cd_type='F', nperio=nperio)\n",
    "    if nperio == 4.2 : nperio = 4\n",
    "    if nperio == 6.2 : nperio = 6\n",
    "        \n",
    "lonE = nemo.clo_lon (lonE, 0.)\n",
    "jpj, jpi = maskC.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24b9bcc9",
   "metadata": {},
   "source": [
    "### Simple test plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4b96fafe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x150272710>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "maskC.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3c5eeb7",
   "metadata": {},
   "source": [
    "## A few utilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "270ffbbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def backward (direction) :\n",
    "    if direction == 'west'  : backward = 'east'\n",
    "    if direction == 'east'  : backward = 'west'\n",
    "    if direction == 'north' : backward = 'south'\n",
    "    if direction == 'south' : backward = 'north'\n",
    "    return backward\n",
    "\n",
    "def toright (direction) :\n",
    "    if direction == 'west'  : toright = 'north'\n",
    "    if direction == 'east'  : toright = 'south'\n",
    "    if direction == 'north' : toright = 'east'\n",
    "    if direction == 'south' : toright = 'west'\n",
    "    return toright\n",
    "\n",
    "def toleft (direction) :\n",
    "    if direction == 'west'  : toleft  = 'south'\n",
    "    if direction == 'east'  : toleft  = 'north'\n",
    "    if direction == 'north' : toleft  = 'east'\n",
    "    if direction == 'south' : toleft  = 'west'\n",
    "    return toleft\n",
    "\n",
    "def next_p (j, i, direction) :\n",
    "    j_n=j ; i_n=i\n",
    "    if direction == 'west'  : j_n = j   ; i_n = i-1\n",
    "    if direction == 'east'  : j_n = j   ; i_n = i+1\n",
    "    if direction == 'north' : j_n = j+1 ; i_n = i\n",
    "    if direction == 'south' : j_n = j-1 ; i_n = i\n",
    "    j_n, i_n = nemo.lbc_index (j_n, i_n, jpj, jpi, nperio=nperio, cd_type='F')\n",
    "    return j_n, i_n\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3275b869",
   "metadata": {},
   "source": [
    "# Build coastline identifiers\n",
    "`cote_west` is true if the point is coastal and the next point on his right (on his \"west\" side) is also a coastal point, on the same coast, with the coast on the left (on the \"south\")\n",
    "\n",
    "On most points, we will find 1 possible direction. A few problematic points have 2 possible directions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "90b5b6aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cote_dir_comp (maskC) :\n",
    "    cote_west  = xr.where(np.logical_and(np.logical_not(maskC.roll(y= 0,x= 0, roll_coords=False)), \n",
    "                                                        maskC.roll(y=-1,x= 0, roll_coords=False)),\n",
    "                          True, False)\n",
    "    cote_east  = xr.where(np.logical_and(               maskC.roll(y= 0,x=-1, roll_coords=False),\n",
    "                                         np.logical_not(maskC.roll(y=-1,x=-1, roll_coords=False))),\n",
    "                          True, False)  \n",
    "    cote_north = xr.where(np.logical_and(np.logical_not(maskC.roll(y=-1,x= 0, roll_coords=False)), \n",
    "                                                        maskC.roll(y=-1,x=-1, roll_coords=False)),\n",
    "                          True, False) \n",
    "    cote_south = xr.where(np.logical_and(               maskC.roll(y= 0,x= 0, roll_coords=False), \n",
    "                                         np.logical_not(maskC.roll(y= 0,x=-1, roll_coords=False))),\n",
    "                          True, False) \n",
    " \n",
    "    cote_west  = nemo.lbc (cote_west , cd_type='F', nperio=nperio)\n",
    "    cote_east  = nemo.lbc (cote_east , cd_type='F', nperio=nperio)\n",
    "    cote_north = nemo.lbc (cote_north, cd_type='F', nperio=nperio)\n",
    "    cote_south = nemo.lbc (cote_south, cd_type='F', nperio=nperio)\n",
    "\n",
    "    cote_dir = xr.concat ([cote_west, cote_east, cote_north, cote_south], dim='direction')\n",
    "    cote_dir = cote_dir.assign_coords (direction=['west', 'east', 'north', 'south'])\n",
    "    cote_dir.name = 'Direction'\n",
    "    return cote_dir\n",
    "    \n",
    "cote_dir   = cote_dir_comp (maskC)\n",
    "cote_total = cote_dir.sum (dim='direction')\n",
    "coastal_points = np.where (cote_total>0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40814ec6",
   "metadata": {},
   "source": [
    "### Plot the number of possible direction(s) at each point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5662c800",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x150396410>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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N5nfC387vZvs+k7kxSCJdMeMF1LVGTC+jHZuN1CP/njgG4N5qLPXWl0ZPeZHLtc8hqYMdt7XFPUO6Y8QbgDuOT1fxxqA9X5qC5LxH6XbZJPVfrj8OSF2X+iT5v5A0BkkUcJ4mHgXMcTE1U1n0zrWJVul75dQS6a0mKRjnla9Njq551dN+JPKGQRIFjOPNzNNM7Ea4iEqN/8LmBG3ICWCk3iPnGMi9gSupGTJrLZIvZeKwCtprVGHetkaGAm5xz1DAuI6X4i4o0tuvdilS47+Y8caoF976DPn7GLqnfmK+THCr5fkbjO+Gmp/J74m6gtEnaceOHRg/fjzi4+NhsVjw7rvvekw/a9YsWCyWZkvPnj3taXJzcyXTXLhwwZfdohoGSRR0UhdNPdcq6TFPZuRpUEJXatx43W1DbwFwMPKi5meyKVpd/o+RpLwm6ezZs+jduzdWrlwpK/2zzz6LiooK+1JeXo727dvjD3/4g1O66Ohop3QVFRWIiopSlDe1MUgiUsCsTSl6pKR5S0tKt2+2IR7ULge/P8Y3ZswYPPHEE5g8ebKs9FarFXFxcfZl3759qK6uxm233eaUzmKxOKWLi4vTIvuKMEgiXdPbBVVv+TEjX5q3/Hm/L32efN2WEfGc17cGYVFlAYCamhqnpba2VpM8r1mzBiNGjEBiYqLT+jNnziAxMRGdO3fGuHHjUFJSosnnK8EgiXRP7RuPGW9kZuLLTVlOp3l3E66qHQToZRwstc5zjnqvb/522m5aACAhIQFWq9W+ZGdnq57fiooKfPjhh7j99tud1nfr1g25ubnYtGkT1q9fj6ioKAwePBhHjx5VPQ9KMEgi3VO7P4QROoaTMnKfZGtajNgvRmkznlplU9Lsye+VsZWXl8Nms9mXrKws1T8jNzcXl19+OSZNmuS0fsCAAZg+fTp69+6NIUOG4O9//zt++9vf4vnnn1c9D0qEBfXTiQJML7/ySVvegiCtjr+W55fez1295svsGkULNPo5YnajEAAudZyOjo5WI1uShBB49dVXkZ6ejoiICI9pW7RogX79+rEmicgI+AtZe/7sY6kmNNcJk5V+jms6Je/T4nzhOUhS1Gxu01phYSG++eYbzJ4922taIQRKS0vRqVOnAOTMPQZJZDpSgzz6e+Pir2TtqbGP5Yzw7G14CXe1UHKaaaUCNLXoaVJbdxjIhYYzZ86gtLQUpaWlAICysjKUlpbi+PHjAICsrCzMmDGj2fvWrFmD/v37Izk5udlrjz32GLZs2YLvvvsOpaWlmD17NkpLSzFnzhxNy+INgyQyLHe/9KUGefQ0eKXSzyH9UbMpylPHb28jSGsZyATzPJQTHFJwNML/J9waFX7mvn37kJKSgpSUFABAZmYmUlJS8MgjjwC41Dm7KWBqYrPZkJeX57YW6dSpU7jzzjvRvXt3pKWl4eTJk9ixYweuu+46pbtEVRYh/tMYSR7V1NTAarViKCYizBIe7OyQCjjmkX6ofSzUnLRWD528jXKuGiWfgXBR1GM73oPNZtOkn0/TPWn1F/3Q6jL/uhefP3MRd/f5XLO8Ghlrkihk+fKUG38xG4NjraG7Y+bp+Ls+SRasG3+wP981H95eD3Y+idTGIIlCmq9zfDFY0jfXKU08BUqe1gdjShIjTpRslHyaUTDmbgsl3DNE/+FtHBo1OoCTNK0GdHT82wj9avTaXOWtLxYFTyMsqiwkjUES0X946/wr1QmcjEPvtYB6DZCU7C9fh1cg37EmSVvcM0Re8IJuPJ6OmbshAhxrm4JxzP0JkPRyjioZJoHICBgkEUmQ2y9ELzcncibnyTaptE03eT3fxKXGAdPTVDve9p2e960RGWkwSSMK6p7ZsWMHxo8fj/j4eFgsFrz77rtOrwshsHTpUsTHx6NVq1YYOnQoDh065JSmtrYW9957Lzp27Ig2bdpgwoQJOHHihFOa6upqpKen2yftS09Px6lTpzQuHemdY/8idwMOenovGVewb9RqDWzq2PSrRaCkRsDoy2jnJF+jsKiykLSgBklnz55F7969sXLlSsnXn3rqKaxYsQIrV67E559/jri4OIwcORKnT5+2p8nIyEB+fj42bNiAnTt34syZMxg3bhwaGhrsaaZNm4bS0lJ89NFH+Oijj1BaWor09HTNy0f65u4GI+dCrvd5tMg7qeMciFokfz9DSVOiv+ROHOyOa1n5fSGjCWqQNGbMGDzxxBOYPHlys9eEEMjJycGSJUswefJkJCcn4/XXX8e5c+ewbt06AJdG8FyzZg2efvppjBgxAikpKVi7di0OHDiAbdu2AQAOHz6Mjz76CH/7298wcOBADBw4EK+88go++OADfP311wEtL+mDL+PmKNkOBZ+SQDfQtOx7pOY56et3wbUpk98TbTWq0NTWyOY2t3S7Z8rKylBZWYm0tDT7usjISNx4443YtWsXAKC4uBj19fVOaeLj45GcnGxPU1RUBKvViv79+9vTDBgwAFar1Z5GSm1tLWpqapwWMj/X6Uvc1Tao1QzhbbiBUOXvZLdKRtJ2pPfO056erFS7FkzJtlhbFDyNooUqC0nT7Z6prKwEAMTGxjqtj42Ntb9WWVmJiIgItGvXzmOamJiYZtuPiYmxp5GSnZ1t78NktVqRkJDgV3lIP+RexD09Mu7LjcC1D5TrLPWuv8CbfoWHYrDkz41W6XsDuX/V+ix3nbeDzd18ikRG5d+ELwFgsTh3KBNCNFvnyjWNVHpv28nKykJmZqb975qaGgZKJiL3piKVxtebkdSvbTljMzUJxakffLn5Kz22rvtYjePrT76Ufpbezwe958/oGmBBg5+DQfr7fjPTbU1SXFwcADSr7amqqrLXLsXFxaGurg7V1dUe0/z73/9utv0ff/yxWS2Vo8jISERHRzstZB7BvnD7UkMUioNY+lJeX/eR1rUxoXDspEY6b8JaJW2wuU1but0zSUlJiIuLQ0FBgX1dXV0dCgsLMWjQIABAamoqwsPDndJUVFTg4MGD9jQDBw6EzWbD3r177Wn27NkDm81mT0PG5ksH00BfsF2bR0Ix4AkFZgoEOPkzUZCDpDNnzqC0tBSlpaUALnXWLi0txfHjx2GxWJCRkYFly5YhPz8fBw8exKxZs9C6dWtMmzYNAGC1WjF79mwsXLgQH3/8MUpKSjB9+nT06tULI0aMAAB0794do0ePxh133IHdu3dj9+7duOOOOzBu3DhcffXVwSo6qUBJXwzXpqpAByiO/ZsYHCkj5+br7w1arePiqVO1Ximd/Ncdb9O+8LzXRgP+2+Tm+0LuBDVI2rdvH1JSUpCSkgIAyMzMREpKCh555BEAwOLFi5GRkYF77rkHffv2xcmTJ7F161a0bdvWvo1nnnkGkyZNwpQpUzB48GC0bt0a77//Plq2bGlP89Zbb6FXr15IS0tDWloarrnmGrz55puBLSypSmltjNoXaF8fj1YzH6HSqVvLx8il+nlp0bnaqAFCKJxfRsfmNm1ZhBAi2JkwgpqaGlitVgzFRIRZwoOdHUPy5aYh9QvfcRqGQHaWlfr8JnJH6FY7SDLqzdcX3sqr1v4Itf3qibt9wX3k3UVRj+14DzabTZM+rU33pKyi0Yi6zL970oUz9cge+JFmeTUyho8UME01P67jELnrJ+TuQiwVIHkazE5tjk127mqzlE5z4k8+QuXXfiACJLUZvbbP3XfMiM2KRL5gkESa89RHwdPcU3IHzZOa+iCYHbOlXgvUdBehSs3mMrUHZNRj8NZEyb7yNSgP5fMyEAQsaPRzERwCwC3dj5NExqY0OFDSfOapX1KwOma7ksqvVp+t55txoOi1RklvfA1cPO1f7vvgaBAt0OBnnyJ/329m3DOkKbUvmsGuMVKKNw1tuBvZWa39rffzyh+O+8rXJ9hctyX1mrf1REbAIIkMSe+jT7sGcIFsbjPzDd4dLYNxs1GjCdBbE3IonoPB0igsqiwkjUESqYoXx0uk+klp/XlE3kh1JPdlOAtPgRab3QKrAS1UWUga9wypKlDjEfEi7My1AzyRFKngxpc+g661lu4mbjYD/gAJbQySSDVaXEz0csGVW7ZgNgOG0sU8EP3RzLw/3Q2ZIfe97gJyvXxf1aT3MrG5TVsMkkg1gexIHegbmNypT4J5QTVCR3a1BKKcer85+svXgF5quAWz7ys9a0QLVRaSxj1DqpIzwKNcnt6jp4uynm4UeshDIARy/CEzBZ6eBrf0pZxmPt9C+UEI+i+Ok0SaCeQFNJi1OGa+UehZoI65mY6vp7LInerH6PT0o0YNDcKCBj+by/x9v5mxJok05c+0DEovYvzFJ82s+yXQQXgoMEvg4IncWkij7Av2SdIWgyTSlJrNIt6a3wLZ/GKUm6bUZLyknFFumHI5NiVJDQlg1vPFjE2KQrRAo5+L4IjbbrG5jTSlZvW9Hi5WW37Yj1Hxwc6FfKHShELeuXsqLRSeUGti5rKRNhg+UkCoMcKvHoyK7x3sLCjmWJNk5loC8szXOQ5D8XzxZ8DNQGuARZWFpDFIIs3opRbJnwucni+OSrjWIJilXKScY6As5zwwS+2LP+e8nvdBo1CjX1KwS6FfDJJIM+6GA1DK3xu6kl/Lrp+l54ujLxwDVz0HSnrKm5lq35qOv7egWe9l9mcATCIlGCSRpvy90Gp5cZOawdzsF1IjlC+QkwHLeT2QDwVozV05XDv367m8vpwfrun1HAAq5W+n7aaFpHHPkG5t+WG/phdrPd8ItKbnsgciQHKt5XRXg2imm6k77sYN0uM5olYArWQbej8HGmFRZVFix44dGD9+POLj42GxWPDuu+96TL99+3ZYLJZmy5EjR5zS5eXloUePHoiMjESPHj2Qn5+vdHeojkESacLfZqtvcwYYspO0Eeh1ML1A3ozk1probR9pQa9l9BS8Nr2u1nZd6XWf6MXZs2fRu3dvrFy5UtH7vv76a1RUVNiXrl272l8rKirC1KlTkZ6ejv379yM9PR1TpkzBnj171M6+IhYhBLtsyVBTUwOr1YqhmIgwS3iws0NkKlK1O57+VuMz1E5P2vHnWPh7Lvn62RdFPbbjPdhsNkRHRyt+vzdN96Rpn0xDxGURfm2r7kwd1v1unU95tVgsyM/Px6RJk9ym2b59O4YNG4bq6mpcfvnlkmmmTp2KmpoafPjhh/Z1o0ePRrt27bB+/XpFeVITa5JIdXqvniZ9cvyFr0VworRfilQezHhuG2GOMn/OB6lmRCVl1XugbKQ+SSkpKejUqROGDx+OTz/91Om1oqIipKWlOa0bNWoUdu3aFZC8ucMgiVSn1lNtFDqaOke7O3e0CpqUTvaq9xumL/T40ILa4xSZ/alVtdTU1DgttbW1qmy3U6dOePnll5GXl4d33nkHV199NYYPH44dO3bY01RWViI2NtbpfbGxsaisrFQlD75ikESq4sWI1OLYeToQtR2egjLH18wY+Ou9TO6uI3rPdyA0QoW52/7TcTshIQFWq9W+ZGdnq5LHq6++GnfccQf69OmDgQMHYtWqVbjpppvw17/+1SmdxeLcgVwI0WxdoDFIItVItd3rfbwV0i+ppjct5qFz/JxQGlzRkZ7KpKQPkD/ng1muS0KFJ9vEf4Kk8vJy2Gw2+5KVlaVZvgcMGICjR4/a/46Li2tWa1RVVdWsdinQGCSRanyd9oDIlVSNpBb9lZqa+LwFSqFyHhtxdHo5gZK7a5MZAiX/R9u+tABAdHS00xIZGalZvktKStCpUyf73wMHDkRBQYFTmq1bt2LQoEGa5UEOBkmkCk99CDzdYLb8sF+zPJFxuQYvTeuaqHFzc+0o3vR3qAREUtToIB2M2mM5AY+74NcMgVKgnTlzBqWlpSgtLQUAlJWVobS0FMePHwcAZGVlYcaMGfb0OTk5ePfdd3H06FEcOnQIWVlZyMvLw7x58+xp5s+fj61bt2L58uU4cuQIli9fjm3btiEjIyOQRWuGQwDIxCEAlPP0yz/Ub0akXNM54++5I7Udno+ktkANAfD7gtsQ3sa/IQDqz9Yhf+RrsvPa9Ei/q5kzZyI3NxezZs3C999/j+3btwMAnnrqKbz88ss4efIkWrVqhZ49eyIrKwtjx451ev8//vEPPPzww/juu+9w1VVX4cknn8TkyZP9Kpu/WJNEfvH1MWrekMgTub/ulXSodq01cu3rRMpIdaYPdgd3X+Z08+V9eqJmc5tcQ4cOhRCi2ZKbmwsAyM3NtQdIALB48WJ88803OH/+PH755Rd89tlnzQIkAPif//kfHDlyBHV1dTh8+HDQAySAQRIppOTpNXdTP/CGRHK5NrdJ3YTlnlc879Tj7oeOVN8xPQUg7q5fPDfInbBgZ4CMxdcOtLwIkRp8eThA6oYe6uejL6NOO/JUC+du8Ea19rmnbfkSKBv9x5svc69JbYOksSaJZFEyK7rrL3w9/ZIkY5DzC9/beei6LfI9IHAc7FPOmEWenk6Um0dPeZGbVs5nyT2P9CoYzW2hhEESyeJLrZHavyAptPkadDNIDwxvfbz8qbmS85m+4NNt5A2DJNJscD6Av+JJPUr7j/CR/uZ82Rf+BqVyO9TzePmGNUnaYpAUwtSq/lbrPURq4w3XP56CFnfjIUmNb+VpjjypGqhAHjejnyMMkrTFIClEuY4V4+lxXl/7L5B+hUIQy3PQP95qdTx9z+XOtRboYxQK5z2pi0FSiJEKfBwvhhw7hoyON0L/uQ606eso2q5NaOwDpD7WJGmLQVKIY61PaDLzMTdz2fzlS4BiprGEzFAGVwJQYYJbcodBUoiRM6aMp7+94WP/xmHGY2TGMqlJbpCg1rhSUj/CvpnyktPf3iYXJs9Yk6QtBkkhzrUa3Z+Lo7tmO9Insx0jPhkVfHKmJRkV39vpx1SwmviDMREvGQ+DJPJKyZxYZCy8SRhDII+TP4/8K52KxFsHb9dAxp/+UVKfbYZrFmuStMVpSUKcGhcJM1xoQhWPnTEE6ji5q41zfQrW34EjHYMp17RSn6Xn+eCCTY0gh0GSe6xJIr9IXax4AaNgYMDnP3dTfjg2o3ua/8zd33I+z9NnNf2ftdYUaAySyCtvY6U4YoBEZGxqTGCttC+j3CY01iQ1x+Y2bTFIClFy+xk5/l+qb4Dr62Zp5ydj4U1TPYH+/nqbOJc8E8KiykLSGCSFKLl9Blz/76lPAi9yxmfUYIPnXmjh8aZAYZBEzbjrX+A6Ai8vVObDsWpCgxbHOFDnDc9PZ/4OJNm0kDQGSdSM1JQljoESq8bNjcfWuPx99N4f7uaA9MSfEcDpEvZJ0haDpBAmp7Mk51wiMg6lI+pr9flKRvbmdYX0jEFSCPN1NG0yP3eD+emB3vJjJHr8DrsbdkDO38SO21rTdZB08eJFPPzww0hKSkKrVq3QpUsXPP7442hsbLSnEUJg6dKliI+PR6tWrTB06FAcOnTIaTu1tbW499570bFjR7Rp0wYTJkzAiRMnAl0cXfJ1LicyN3fj0xD5Q27Ntdy/ic1tWtN1kLR8+XK8+OKLWLlyJQ4fPoynnnoK/+///T88//zz9jRPPfUUVqxYgZUrV+Lzzz9HXFwcRo4cidOnT9vTZGRkID8/Hxs2bMDOnTtx5swZjBs3Dg0NDcEolq7w5kfueJrTL9B4npqDXs4jM51PrEnSlkUIIYKdCXfGjRuH2NhYrFmzxr7u5ptvRuvWrfHmm29CCIH4+HhkZGTggQceAHCp1ig2NhbLly/HXXfdBZvNhl/96ld48803MXXqVADADz/8gISEBGzevBmjRo2SlZeamhpYrVYMxUSEWcLVLyyRDmkVKLk23zo+IOBpPq9g32SJ5Loo6rEd78FmsyE6Olr17Tfdk1LzFiCsTaRf27p4thbFNz+jWV6NTNc1Sddffz0+/vhj/Otf/wIA7N+/Hzt37sTYsWMBAGVlZaisrERaWpr9PZGRkbjxxhuxa9cuAEBxcTHq6+ud0sTHxyM5OdmeJpSZ6RcVqc/xSUa1zhWpYEdOh18GSJ6Zvf+O2cqjFqFCUxtrktzTdZD0wAMP4I9//CO6deuG8PBwpKSkICMjA3/84x8BAJWVlQCA2NhYp/fFxsbaX6usrERERATatWvnNo2U2tpa1NTUOC1mw1/m5I3r0A9qzb7uL94wm5MKZvXY8d5XTeefmsG6GQgAQvi5BLsQOqbrIGnjxo1Yu3Yt1q1bhy+++AKvv/46/vrXv+L11193SmexOEfBQohm61x5S5OdnQ2r1WpfEhISfC8IkUF5GjMrmBjcu+fa6d5M+0qNYF1qcFzH1/RwfpN+6DpIWrRoER588EHccsst6NWrF9LT07FgwQJkZ2cDAOLi4gCgWY1QVVWVvXYpLi4OdXV1qK6udptGSlZWFmw2m30pLy9Xs2hBJ6cWiRcLauJ4vgQzUDJ7kxJ55svku67cNfUade5JjritLV0HSefOnUOLFs5ZbNmypX0IgKSkJMTFxaGgoMD+el1dHQoLCzFo0CAAQGpqKsLDw53SVFRU4ODBg/Y0UiIjIxEdHe20hBqjXSxIO3qqQdLTU3cUWGodb6kaI72c40rx6TZt6TpIGj9+PJ588kn885//xPfff4/8/HysWLECv//97wFcambLyMjAsmXLkJ+fj4MHD2LWrFlo3bo1pk2bBgCwWq2YPXs2Fi5ciI8//hglJSWYPn06evXqhREjRgSzeEHDvkjkL1/OH7VuQEa9mQUS949nUjVG3p6spNCk6yDp+eefx//8z//gnnvuQffu3XH//ffjrrvuwp///Gd7msWLFyMjIwP33HMP+vbti5MnT2Lr1q1o27atPc0zzzyDSZMmYcqUKRg8eDBat26N999/Hy1btgxGsYLOdaLaJrwQkCfu+nAEMy/BzIOemflHkFrnn+t2PD3Fqef9ycEktaXrcZL0xAzjJEn9UmKtEikl1fFVzjmk1bkmZ4ylUML94D81+j4FapyknhsXoWVr/8ZJajhXi0NT/x/HSZKg65okswvUL+CmGiOpLzwvpqSUa1OF3OYvf841TyMlu46xFOo1S6HwnQ7ERL1K92Oon3dmxSApSALxa891jBt3r5M2Qmn/yq1J8oVrR21vzcShECS4EyrnXKD6pSn5jGA1AbPjtrbY3CaTv81tWgZFru3poXyTIGPz1MzhqbmY5z0Fm+s5GKjmtu7rH1Clue3wH5ezuU0Ca5ICRMunJhgg6V+o/ML3h7dxatw1F3vrdEvmp8VxV7rNYF172XFbWwySAsDTl03NamMGSPql9pQKZqRGc4XUNrjPzU/t5jf+4PRsx44dGD9+POLj42GxWPDuu+96TP/OO+9g5MiR+NWvfoXo6GgMHDgQW7ZscUqTm5sLi8XSbLlw4YKGJfGOQVIAePuyqT27upbpyT+88Eqfc/6ch96a5highoZQ/W75PW/bfxYlzp49i969e2PlypWy0u/YsQMjR47E5s2bUVxcjGHDhmH8+PEoKSlxShcdHY2KigqnJSoqSlnmVMYgSSd8uYBLzTmk5ELBX9qBFSoXcW/nk1TTmL/7RmrMG0/nt2PQxPPfPPRUK1+2vJ8KOfHuUpDjb8dtZZ85ZswYPPHEE5g8ebKs9Dk5OVi8eDH69euHrl27YtmyZejatSvef/99p3QWiwVxcXFOS7AxSNJIINqzXR/DVroNM06AScEnt3+Qp/POl3PZ9f+O/ZWkhi3w9bNIX6SefiTf1NTUOC21tbWafE5jYyNOnz6N9u3bO60/c+YMEhMT0blzZ4wbN65ZTVMwMEjSgC/t2Wq3pwfrs4ma+NOZOhA1AgyOzMG1H5pexjdKeuBzTbbrSs0hABISEmC1Wu1L02Tyanv66adx9uxZTJkyxb6uW7duyM3NxaZNm7B+/XpERUVh8ODBOHr0qCZ5kItBkorUGKVVDUqb3IKdXzI312BJSTMX+xKREv7WyBuRUGkBgPLycthsNvuSlZWlen7Xr1+PpUuXYuPGjYiJibGvHzBgAKZPn47evXtjyJAh+Pvf/47f/va3eP7551XPgxIMklTkz5dNavwXJdR4GohIS64jY8up5WFzsDIMKOXjvmouOjraaYmM9G/8JVcbN27E7Nmz8fe//93rBPMtWrRAv379WJNkNIHqjKeUrzcSXigo2OSegzxXyRsltZRmCb6NMuL2+vXrMWvWLKxbtw433XSTjHIJlJaWolOnTprnzRMGSQoFqp05EEPcy3kKiEhrcs91s9zUSDtSo6+bvslWzfY2mc6cOYPS0lKUlpYCAMrKylBaWorjx48DALKysjBjxgx7+vXr12PGjBl4+umnMWDAAFRWVqKyshI2m82e5rHHHsOWLVvw3XffobS0FLNnz0ZpaSnmzJmjdI+oikGSzmnZZ0hOswdRIHHkbPKX6w8/0zfZqlGLpLAmad++fUhJSUFKSgoAIDMzEykpKXjkkUcAABUVFfaACQBeeuklXLx4EXPnzkWnTp3sy/z58+1pTp06hTvvvBPdu3dHWloaTp48iR07duC6665TYSf5jkGSD9QeDM+fzzXCtomUUuNRbnc1pGY+100dDPiA+0MbQ4cOhRCi2ZKbmwvg0ujZ27dvt6ffvn27x/QA8Mwzz+DYsWOora1FVVUVtmzZgoEDBwa2YBIYJPkgkF881/Fc1LrAu9uOUW8gnmaFJ2PypSnYsWnF3cS3wZqtnQJH6kEYsx7rYIy4HUoYJPkoWF8410BJrTFojF4lzcEBzU3uMZV7HgerNpgCyzFg9vcJYr0ySsdto2KQ5KNgTqTp2G/D14BAqmMjx0wivfF0Pnr7vnk6n9kfLzRwMFHyF4MkFWh5wfXULObL57lrfmhaAvnrSu3PMssvQ3LPtdnEMcB35c/UJmbB74Q0U+2Xpo7X/i4kKSzYGTAbX4fF9zaTuSu1AqSm9U3blLtdNWqd1L4pmfEmR87UqEUNJdxH0sy0X9ToU8Q+Se6xJkllag6LH8jHoYN50dByHCgyPx5nz7h/nHF/kBIMklSmxRdQrQBGbq1UoEerVTtA08sceqSdQHTUN8vN1N/946lJ04hMd10IwmCSoYRBkkrU6JcUqIuQp88JZjNGIGZ+J5IrlM8jx+9isPosasHo+ZfCp9u0xSBJR9yN3+LPI/9KO7QGc8TjUL4pkXEY/Ubr6Wlcb7WwjtcHI9Yu8RpDSjFI0inHX23+TF7r69ggvJgQSTP6d8NTrbfS8aiMVLtklHz6hE1tmmGQpEOuIwZ7S+fuNX8ugkRGYeqbn84Z5SlDo+TTF2xu0xaDJJ1p+jK7q0WS22HVrBcEIkdmvvkZgRH2venPEXbc1hTHSdIZx/mmXL/crp0ptWD6CwqZCs/V4NPrNaMpX3rMG2mnoaEBubm5+Pjjj1FVVYXGxkan1z/55BNF22NNkg55m5jT04CQ3uj1yTYio2Ezn76FzrXMotJiDvPnz8f8+fPR0NCA5ORk9O7d22lRyiIEx9qUo6amBlarFUMxEWGW8IB9rrvO14G4ADh+DgMo0hO9nI8ckyuw9HLc5bgo6rEd78FmsyE6Olr17TfdkxJWL0WLVlF+bavx/AWU371Us7wGUseOHfHGG29g7NixqmyPNUk6pvSCIGfCT3d/+zr3FX9NkxqUPk6ulxul1ETRRBQ8ERER+M1vfqPa9hgkGYDrhbepOU5qvSdSzXeuT9K5u8jLmY1dzg2CNxGSYuS+I47N4EYtg1F4278heX1hx20nCxcuxLPPPgu1GskYJOmYt/FMfB340TGocX1aTu5FSKoTuZz8uG5/yw/7FeSc6BK93wyV/HAg7+TU0hmpKU5VwqLOYhI7d+7EW2+9hauuugrjx4/H5MmTnRal+HSbAbjr9+Dp6Q13T8g5ctffyFNtkmNAJGcsJm8XrlHxvdmvg0xH6geOmW/iWpdNzrbNum9Jmcsvvxy///3vVdseO27LFKyO21qRE0TJ3Ya/aRkkkRJGDzaMnn93gj3vo972aaA6bnde+ZgqHbdPzHvUFB231cbmthDlWiPkzzbkvN/bwJfsa0By6e1mqJS3/n9GZfTjYljskyTpxx9/xM6dO/F///d/+PHHH33eDoMkA/JnwlspvlzcfB3YUs7EmL4+aUdkFGbt5B2swM+M+5J8c/bsWfzv//4vOnXqhBtuuAFDhgxBfHw8Zs+ejXPnzineHoMkA/I0NYnef6F66ozuSs/loOAyy7lhlnJQELHjtpPMzEwUFhbi/fffx6lTp3Dq1Cm89957KCwsxMKFCxVvj0GSwbkGRa6/UH25CLt7j6faIyU1Q3KHKvD16T0yPyPNPh9KeFwCzyLUWcwiLy8Pa9aswZgxYxAdHY3o6GiMHTsWr7zyCv7xj38o3h6fbjM4ucGKpyfWml77ZspL+M3f73I7wa6cfkOennbzpXOltwl/KXTxXNAnHpcAU6NPkYmCpHPnziE2NrbZ+piYGJ+a2/h0m0xme7pNihpPvHnblpqfQcTzSH+CcUz0eB4EbFqSnMfVmZYk4xFTPN02fPhwdOjQAW+88Qaioi7tl/Pnz2PmzJn45ZdfsG3bNkXbY01SiPJUU6TGxcaXSXo98bWjOJmbkc8FPd7YyYDU6FNkoj5Jzz77LEaPHo3OnTujd+/esFgsKC0tRVRUFLZs2aJ4e+yTFKKa+i4ZZWRgTyOM6z3vpC0jHn8zB0jBKJdZ96UsHALASXJyMo4ePYrs7Gxce+21uOaaa/CXv/wFR48eRc+ePRVvj81tMoVCc5scWl7czXzjICJtOV4/9HAtCVhz24o/q9PclvknUzS3qY3NbSSbVA2Op1G0lV6kgn1RIwoEPdzAzUjuQyam2//suI1NmzZhzJgxCA8Px6ZNmzymnTBhgqJtM0gi2dz1L/LEdBck0iWjnGdGyadZeOoXaRoMkjBp0iRUVlYiJiYGkyZNcpvOYrGgoaFB0bbZJ4kkqTWqtxkuSEbs8xJqjHKeGSWfvtLbd8Xs+5suaWxsRExMjP3/7halARLAIIlcaDUekdYXTy23zwutMejtBk36ovZ0TrrBEbedvPHGG6itrW22vq6uDm+88Ybi7TFIIjtvg0G6e48cWgcaZglk9D6tjJ5xtOfgC+b30Nuo/3rq1K0mjrjt7LbbboPNZmu2/vTp07jtttsUb49BEvnF3WP5wbgIKb1B6jEgcRyaQc5kwOSMU9mELk/XHCUzB5CxCSFgsTSvGTtx4gSsVqvi7TFIIvuN2J+Lhx4uPL48TaeHfEtRc2DPUMRapdChdCom050XQRgnaceOHRg/fjzi4+NhsVjw7rvven1PYWEhUlNTERUVhS5duuDFF19sliYvLw89evRAZGQkevTogfz8fNl5SklJQZ8+fWCxWDB8+HD06dPHvvTu3RtDhgzBiBEjlBQTgA9B0qxZs7Bjxw7FH+SrkydPYvr06ejQoQNat26Na6+9FsXFxfbXhRBYunQp4uPj0apVKwwdOhSHDh1y2kZtbS3uvfdedOzYEW3atMGECRNw4sSJgJVB7wIVLJju4qQiqX3jGChx3ymnt/2mp7yYCYcaCbyzZ8+id+/eWLlypaz0ZWVlGDt2LIYMGYKSkhI89NBDuO+++5CXl2dPU1RUhKlTpyI9PR379+9Heno6pkyZgj179sj6jEmTJmHixIkQQmDUqFGYOHGifbnlllvw0ksvYe3atYrLqngwyZtvvhn//Oc/kZCQgNtuuw0zZ87EFVdcofiD5aiurkZKSgqGDRuGu+++GzExMfj2229x5ZVX4qqrrgIALF++HE8++SRyc3Px29/+Fk888QR27NiBr7/+Gm3btgUA3H333Xj//feRm5uLDh06YOHChfjll19QXFyMli1bysqLWQeTNFv7vNnKQ/7jORGagn3cAzWYZOLyJ9Aiys/BJC9cwLEHHvYprxaLBfn5+R4fvX/ggQewadMmHD582L5uzpw52L9/P4qKigAAU6dORU1NDT788EN7mtGjR6Ndu3ZYv3697Py8/vrruOWWWxAZGamoHO4orknKy8vDyZMnMW/ePLz99tu48sorMWbMGPzjH/9AfX29Kplqsnz5ciQkJOC1117DddddhyuvvBLDhw+3B0hCCOTk5GDJkiWYPHkykpOT8frrr+PcuXNYt24dAMBms2HNmjV4+umnMWLECKSkpGDt2rU4cOCA4onuzMhsNw+91R4QUXCY7doWCDU1NU6L1FNivigqKkJaWprTulGjRmHfvn32uMFdml27din6rB49eqC0tLTZ+j179mDfvn3KMg4f+yR16NAB8+fPR0lJCfbu3Yvf/OY3SE9PR3x8PBYsWICjR4/6stlmNm3ahL59++IPf/gDYmJikJKSgldeecX+ellZGSorK512bGRkJG688Ub7ji0uLkZ9fb1Tmvj4eCQnJ3vc+bW1tc1OGLPQQxDBR/YpUPRwPujhOxcoei6r3LzpuQzNqDgEQEJCAqxWq33Jzs5WJYuVlZWIjY11WhcbG4uLFy/ip59+8pimsrJS0WfNnTsX5eXlzdafPHkSc+fOVZhzPztuV1RUYOvWrdi6dStatmyJsWPH4tChQ+jRoweeeeYZfzYNAPjuu++wevVqdO3aFVu2bMGcOXNw33332cc6aNp5nnZsZWUlIiIi0K5dO7dppGRnZzudLAkJCX6XJ5gcv/R6uGmogU9+kVGY5Tsnh9Zl1XJwW63GidOUih23y8vLYbPZ7EtWVpZq2XR94qypp4/jeqk0Uk+qefLVV1+hT58+zdanpKTgq6++UrQtwIcgqb6+Hnl5eRg3bhwSExPx9ttvY8GCBaioqMDrr7+OrVu34s0338Tjjz+uODOuGhsb0adPHyxbtgwpKSm46667cMcdd2D16tVO6XzZsd7SZGVlOZ0sUpGpUQS7bV6KGvlxfdybARMR+UNv18lAi46OdlrU6tcTFxfXrFKiqqoKYWFh6NChg8c0rpUg3kRGRuLf//53s/UVFRUIC1M+E5viIKlTp0644447kJiYiL1792Lfvn2YM2eOvZM0cKkd8fLLL1ecGanP6tGjh9O67t274/jx4wAu7VQAHndsXFwc6urqUF1d7TaNlMjIyGYnjFHp+Yvvb2DjOK6QnstJwcPg2Vz4PXcRhCEAlBo4cCAKCgqc1m3duhV9+/ZFeHi4xzSDBg1S9FkjR460V3I0OXXqFB566CGMHDlScd4VB0nPPPMMfvjhB7zwwgu49tprJdO0a9cOZWVlijPjavDgwfj666+d1v3rX/9CYmIiACApKQlxcXFOO7aurg6FhYX2HZuamorw8HCnNBUVFTh48KDinU/qU+uCxwsnucNzgwDzBsvBGHH7zJkzKC0ttXeQLisrQ2lpqb0CIysrCzNmzLCnnzNnDo4dO4bMzEwcPnwYr776KtasWYP777/fnmb+/PnYunUrli9fjiNHjmD58uXYtm0bMjIyFOXt6aefRnl5ORITEzFs2DAMGzYMSUlJqKysxNNPP62soPAhSEpPT0eUn48byrVgwQLs3r0by5YtwzfffIN169bh5Zdftne+slgsyMjIwLJly5Cfn4+DBw9i1qxZaN26NaZNmwYAsFqtmD17NhYuXIiPP/4YJSUlmD59Onr16uXTwFJGYtaLApES/B4QqWvfvn1ISUlBSkoKACAzMxMpKSl45JFHAFyqiGgKmIBLFRqbN2/G9u3bce211+LPf/4znnvuOdx88832NIMGDcKGDRvw2muv4ZprrkFubi42btyI/v37K8rbFVdcgS+//BJPPfUUevTogdTUVDz77LM4cOCAT32LFY+TFGgffPABsrKycPToUSQlJSEzMxN33HGH/XUhBB577DG89NJLqK6uRv/+/fHCCy8gOTnZnubChQtYtGgR1q1bh/Pnz2P48OFYtWqVoh1mxHGSjNQEZaS8ElHwGOVaEahxkq584klVxkn6/uElmuXVyHQfJOkFgyTtGS2/ZAw8r8zBl+MYzKfVAhYk/VmlIOlP5gmS3nzzTbz00kv47rvvUFRUhMTERDzzzDPo0qULJk6cqGhbnLvNxIx2YzBafskY9PxIOsnny3HU8/yMpI3Vq1cjMzMTY8aMQXV1NRoaGgBc6iudk5OjeHsMkoiISHUMHgMjGB239ez555/HK6+8giVLljg98t+3b18cOHBA8fYYJJFu8KJKZB6swQkQFUfcNoOysjJ7h3JHkZGROHv2rOLtMUgyOSMFHryoktqMdP6TezyOHhhgnKRASkpKkpy77cMPP2w27qIcDJJMzkiBBy+EZDTsFO6dGt9r7mOSa9GiRZg7dy42btwIIQT27t2LJ598Eg899BAWLVqkeHvKx+gmIiIAvHlT8KnRp8hMfZJuu+02XLx4EYsXL8a5c+cwbdo0XHHFFXj22Wdxyy23KN4ea5JCgFFqaHjDIbVpeU4Z5XsVbPxea4zNbXYXL17E66+/jvHjx+PYsWOoqqpCZWUlysvLMXv2bJ+2ySApBPAiRaQ+fq/kY0BJgRAWFoa7774btbW1AICOHTsiJibGr20ySCKPHC9uvNARkS8YUGpIjcf/TVKTBAD9+/dHSUmJattjnyTyyPHipnXTBS+kpDaeV8bE46aAGkGOiYKke+65BwsXLsSJEyeQmpqKNm3aOL1+zTXXKNoegyRShT8XNV4QSSs8r4yJx418NXXqVADAfffdZ19nsVgghIDFYrGPwC0Xg6QQJdV05su8SE3v8eeixgsiUehpun4Ec341U2BNkpOysjJVt8cgKQSpVXPTdIFz/JdIL/w9J13fz3NcHU37UY0fWMQhAFwlJiaquj0GSSFG7Qu94y9BPeSHSC2u5yXPU3VwP5LaNm3ahDFjxiA8PBybNm3ymHbChAmKts0gKcRodYFq2q7SoIcXTNIKzy2i0DBp0iRUVlYiJiYGkyZNcpvOlz5JHAKA/BaoJ+D8weELQotax5vnDekeB5NEY2OjfTykxsZGt4vSAAlgTRKFCL0Gb6RvPG9I79gn6b8aGxuRm5uLd955B99//z0sFgu6dOmCm2++Genp6bBYLIq3yZokUp23X9/B/nUe7M8n7akR3PA8ITIOIQQmTJiA22+/HSdPnkSvXr3Qs2dPfP/995g1axZ+//vf+7Rd1iSR6jzdoPTQUTvYn0/6p4fzlEg2k9QE+SM3Nxc7duzAxx9/jGHDhjm99sknn2DSpEl44403MGPGDEXbZU0SBZRebjysJTA3f4+vXs5TIq/YJwkAsH79ejz00EPNAiQA+N3vfocHH3wQb731luLtMkiigAtGgOI6Bx1vgubmy8CoRGRcX375JUaPHu329TFjxmD//v2Kt8sgiQIukAGK42i+HNmX3OE5QUbl7+S2anT81oNffvkFsbGxbl+PjY1FdXW14u0ySKKA+TZnQMB/sbsGR6wxIEfBOCeJVMXmNgBAQ0MDwsLcd7Nu2bIlLl68qHi77LhNARPoX+uu0x+wmS10yD3WPB+IzEEIgVmzZiEyMlLy9draWp+2yyCJAiIYAQqnlQhNcs81Nr+SGXCcpEtmzpzpNY3SJ9sABkkUIIGeKNTxM1iDRO7wvCDDU6O5zARB0muvvabJdtkniQKmqf9HIAMkgDfCUCO37xnPCyLyhkESBYxj/yCtuNYg+fJ+IiLDYMdtTbG5jUxDjRok1i4QkZGwT5K2WJNEpsB+R+TI29Q4RKbBmiRNMUgiU3C9KfJGGJrYF4mI1MQgiUzBdVBA3ghJCoNnMh3WJGmKfZLIFBgUEfDfJ9vcnQ+cnobMhn2StMWaJCIyFW/BD4MjIpKLQRIREZFRBam5bdWqVUhKSkJUVBRSU1Px2WefuU07a9YsWCyWZkvPnj3taXJzcyXTXLhwQXnmVMQgiYhCCp+EJDNpam7zd1Fi48aNyMjIwJIlS1BSUoIhQ4ZgzJgxOH78uGT6Z599FhUVFfalvLwc7du3xx/+8AendNHR0U7pKioqEBUV5euuUQWDJCIKGQyQSCuuD4+Y2YoVKzB79mzcfvvt6N69O3JycpCQkIDVq1dLprdarYiLi7Mv+/btQ3V1NW677TandBaLxSldXFxcIIrjEYMkIiIiFQQlAFexua2mpsZpqa2tbfZxdXV1KC4uRlpamtP6tLQ07Nq1S1aW16xZgxEjRiAxMdFp/ZkzZ5CYmIjOnTtj3LhxKCkpkbU9LTFIIqKQwVok0krQzi0Vg6SEhARYrVb7kp2d3ezjfvrpJzQ0NCA2NtZpfWxsLCorK71mt6KiAh9++CFuv/12p/XdunVDbm4uNm3ahPXr1yMqKgqDBw/G0aNHZe8KLXAIADI8NqEQEfmvvLwc0dHR9r8jIyPdprVYLE5/CyGarZOSm5uLyy+/HJMmTXJaP2DAAAwY8N/mysGDB6NPnz54/vnn8dxzz8ksgfpYk0SGxwCJmqjVLyRU+paQ8VlUWoBLHacdF6kgqWPHjmjZsmWzWqOqqqpmtUuuhBB49dVXkZ6ejoiICI9pW7RogX79+gW9JolBEhGZhr8BMweaJMMJ8BAAERERSE1NRUFBgdP6goICDBo0yON7CwsL8c0332D27NneiyUESktL0alTJ/mZ0wCDJCIyDXdNr0pqmFiLREYSjCEAMjMz8be//Q2vvvoqDh8+jAULFuD48eOYM2cOACArKwszZsxo9r41a9agf//+SE5ObvbaY489hi1btuC7775DaWkpZs+ejdLSUvs2g4V9kojINPytAWINEpF3U6dOxc8//4zHH38cFRUVSE5OxubNm+1Pq1VUVDQbM8lmsyEvLw/PPvus5DZPnTqFO++8E5WVlbBarUhJScGOHTtw3XXXaV4eTyxCCM7aIkNNTQ2sViuGYiLCLOHBzg4REenYRVGP7XgPNpvNqTO0WpruST3vWoaWkf4NuNhQewGHXnpIs7waGWuSiIiIjIxVHZphnyQiMh099ysKpZGZiYyOQRIRmY63vkXBDFKuytiNqzJ2M1AiVQSj43YoYZBERKYmFYzooYO2HvJAJhDgIQBCDYMkIjI1BiNE5CtDBUnZ2dmwWCzIyMiwrxNCYOnSpYiPj0erVq0wdOhQHDp0yOl9tbW1uPfee9GxY0e0adMGEyZMwIkTJwKceyIiInWxuU1bhgmSPv/8c7z88su45pprnNY/9dRTWLFiBVauXInPP/8ccXFxGDlyJE6fPm1Pk5GRgfz8fGzYsAE7d+7EmTNnMG7cODQ0NAS6GEREROphc5umDBEknTlzBrfeeiteeeUVtGvXzr5eCIGcnBwsWbIEkydPRnJyMl5//XWcO3cO69atA3BpAKs1a9bg6aefxogRI5CSkoK1a9fiwIED2LZtW7CKRERERDpniCBp7ty5uOmmmzBixAin9WVlZaisrERaWpp9XWRkJG688Ubs2rULAFBcXIz6+nqnNPHx8UhOTrankVJbW4uamhqnhYiISE/Y3KYt3Q8muWHDBnzxxRf4/PPPm73WNAux68zDsbGxOHbsmD1NRESEUw1UUxrXWYwdZWdn47HHHvM3+0RERNpRo7mMQZJbuq5JKi8vx/z587F27VpERbkfdt1isTj9LYRots6VtzRZWVmw2Wz2pby8XFnmiYiItMY+SZrSdZBUXFyMqqoqpKamIiwsDGFhYSgsLMRzzz2HsLAwew2Sa41QVVWV/bW4uDjU1dWhurrabRopkZGRiI6OdlqIiIgodOg6SBo+fDgOHDiA0tJS+9K3b1/ceuutKC0tRZcuXRAXF4eCggL7e+rq6lBYWIhBgwYBAFJTUxEeHu6UpqKiAgcPHrSnISIiMiL2SdKWrvsktW3bFsnJyU7r2rRpgw4dOtjXZ2RkYNmyZejatSu6du2KZcuWoXXr1pg2bRoAwGq1Yvbs2Vi4cCE6dOiA9u3b4/7770evXr2adQQnIiIyFPZJ0pSugyQ5Fi9ejPPnz+Oee+5BdXU1+vfvj61bt6Jt27b2NM888wzCwsIwZcoUnD9/HsOHD0dubi5atmwZxJwTERGRnlmEEIwhZaipqYHVasVQTESYJTzY2SEiIh27KOqxHe/BZrNp0qe16Z50bfqTaBnh/sEmORrqLqD0zSWa5dXIDF+TREREFLLY3KYpXXfcJiLSg29zBgQ7C0QUBKxJIiLy4qqM3cHOApEkNZ5O49Nt7rEmiYhIAmuPyBA4mKSmGCQREbn4NmcAa4+IiEESEVGTptojBkhkFBxMUlsMkoiI/sM1OGKTG+kem9s0xSCJiMgDBkqkZ6xJ0haDJCIiB45B0VUZu9n0RhTCGCQRUchzDYyIDIPNbZriOElEFLJcO2qz4zYZEZvLtMMgiYhClmswxOCIiByxuU1nvs0ZwI6iRAHi+n3jd48MRwh1FpLEmiSdcaz2569aIm04fr+uytjNZjYyLE5Loi3WJOmU1MVaya9c1kgReecYKDFACk28VpInDJIMxPEi7u1L3XTRV+vL37Qd1+3x4kJGxICIHGsPXTvuGwqfbtMUgySNuQsu/OXuS+36t6+Bkms/Dcdf3HLyoSVDXsjIEHhuhQZ33RnU/GEZKJZGdRaSxiBJY67BhdpVu3IeXZYbUEm9x902PaWX+xm+MuKFjPRBTg0smR+PM8nFIEkj7i7GWvV98CWQCcSFQkkToa/bJZJDzsMQDL7NTc7xNVzTG5vbNMUgSWV8SsY97hMKJtZAhjalx77pfNH7OROsudtWrVqFpKQkREVFITU1FZ999pnbtNu3b4fFYmm2HDlyxCldXl4eevTogcjISPTo0QP5+fnKM6YyBkkqYyBAZFz8/pqXL7X43t7jGEQFLZgKwjhJGzduREZGBpYsWYKSkhIMGTIEY8aMwfHjxz2+7+uvv0ZFRYV96dq1q/21oqIiTJ06Fenp6di/fz/S09MxZcoU7Nmzx6fdohYGSUQUMhgEhYZABSyhOnTEihUrMHv2bNx+++3o3r07cnJykJCQgNWrV3t8X0xMDOLi4uxLy5Yt7a/l5ORg5MiRyMrKQrdu3ZCVlYXhw4cjJydH49J4xsEkKeC8PYEXihcdIlJHsAbiDdZ1S83BJGtqapzWR0ZGIjIy0mldXV0diouL8eCDDzqtT0tLw65duzx+TkpKCi5cuIAePXrg4YcfxrBhw+yvFRUVYcGCBU7pR40axSDJ6DgytnKu+4v7kIi8kdvfM5jXEscfe4nz3ffRUZUaHa//8/6EhASn1Y8++iiWLl3qtO6nn35CQ0MDYmNjndbHxsaisrJScvOdOnXCyy+/jNTUVNTW1uLNN9/E8OHDsX37dtxwww0AgMrKSkXbDBQGSRR07kYXZ+BE/uA5ZC7e+gbp4Vg75uFiEPPhq/LyckRHR9v/dq1FcmSxWJz+FkI0W9fk6quvxtVXX23/e+DAgSgvL8df//pXe5CkdJuBwj5JftLDF9OMuF9JC576quj9KaZQY4Qny/RAzafboqOjnRapIKljx45o2bJlsxqeqqqqZjVBngwYMABHjx61/x0XF+f3NrXAIMkH/OIGHvc5+UsvtQ2hQI0AR06naF4XEPCn2yIiIpCamoqCggKn9QUFBRg0aJDs7ZSUlKBTp072vwcOHNhsm1u3blW0TS2wuc0HvNAGHvc5yeFuCh05ARLPsUv8DSal3t+0Tu1x5NxNl0TayszMRHp6Ovr27YuBAwfi5ZdfxvHjxzFnzhwAQFZWFk6ePIk33ngDwKUn16688kr07NkTdXV1WLt2LfLy8pCXl2ff5vz583HDDTdg+fLlmDhxIt577z1s27YNO3fuDEoZmzBIIsPgQJ3kiacbsZxzhjVNl0gFOFKve5r/zN061/c6boP73zdqPt0m19SpU/Hzzz/j8ccfR0VFBZKTk7F582YkJiYCACoqKpzGTKqrq8P999+PkydPolWrVujZsyf++c9/YuzYsfY0gwYNwoYNG/Dwww/jT3/6E6666ips3LgR/fv3969wfrIIoXAUqRBVU1MDq9WKoZiIMEt4sLNDRG7wZisfh97QzkVRj+14DzabzakztFqa7kkDRz+OsPAov7Z1sf4Cij56RLO8Ghn7JJEhOV7c2cGT1GL288h1dOimfj8MkIikMUgiQ3JtSuG8XKRGc6zZgwX24TGfYM3dFioYJJFp8MJPTRgwO+P+MLFGoc5CkhgkEZEpqNEB2KzBBH9AmJhQaSFJDJLIlMx6syPvGBA443eByHcMkohIE00d6l07C/OmHTh80s/8LFChT1KwC6FjHAJAJg4BQKR/fKSd9CJQQwAMHr4UYWF+DgFw8QL+7+OlHAJAAgeTJCJVBbP2goEREamJzW1EpCq5gYqa41u5bieUmvTYjBnaOASAthgkEVFQqDGIoePYSKHa1Maxj0Icn27TFIMkMh3+og4OLfa7u2021UJJzdUWSjUroVBGomBikESmw1/UzQUicHANUtTcpi/v8eW9Rgs6eK6TRQhVFpLGjttkKmpMTUH+0Xrfc+Z4IgeN/1n83QZJYk0SmYLrhJ0kzV1tjxEmCZYKgNU+1no/d/R+jIjMhkESGR5rE5Rz3V+ukwT70zyn1Y08lCcxdu2gHqr7gZpjc5u2OJikTBxMUp8YIAVGqOznUCknaS9Qg0necP0jqgwmuWPn4xxMUgL7JJGh8Yb2X1r2xwqV/Rwq5SQTEeLS4u82SBKb28jQQr3ZwXVsIN7kfRfq5xIRNccgiQyLTSP6rvkwWtCh531J5A5H3NYWgyQyrFC9qekp+PCUFyMeHz3tWyJZmprb/F1Ikq6DpOzsbPTr1w9t27ZFTEwMJk2ahK+//topjRACS5cuRXx8PFq1aoWhQ4fi0KFDTmlqa2tx7733omPHjmjTpg0mTJiAEydOBLIoRIq4m4tMb7VnjnlpeurKyE9faTEgJhEZl66DpMLCQsydOxe7d+9GQUEBLl68iLS0NJw9e9ae5qmnnsKKFSuwcuVKfP7554iLi8PIkSNx+vRpe5qMjAzk5+djw4YN2LlzJ86cOYNx48ahoaEhGMUilZj5Rib1iL7Uej1p6hNlhr5RehluQA95IH2zNKqzkDRdB0kfffQRZs2ahZ49e6J379547bXXcPz4cRQXFwO4VIuUk5ODJUuWYPLkyUhOTsbrr7+Oc+fOYd26dQAAm82GNWvW4Omnn8aIESOQkpKCtWvX4sCBA9i2bVswi0fkhDdEfdFDoKSHPJDOsblNU7oOklzZbDYAQPv27QEAZWVlqKysRFpamj1NZGQkbrzxRuzatQsAUFxcjPr6eqc08fHxSE5OtqeRUltbi5qaGqeF9ENvzU5kTjzHiEKbYYIkIQQyMzNx/fXXIzk5GQBQWVkJAIiNjXVKGxsba3+tsrISERERaNeunds0UrKzs2G1Wu1LQkKCmsUhcsKgT/+CVaPD84I8EiotJMkwQdK8efPw5ZdfYv369c1es1gsTn8LIZqtc+UtTVZWFmw2m30pLy/3LeNEXjBAMoZAHiM2sZFcnJZEW4YIku69915s2rQJn376KTp37mxfHxcXBwDNaoSqqqrstUtxcXGoq6tDdXW12zRSIiMjER0d7bQQUWgLRPDCoJlIP3QdJAkhMG/ePLzzzjv45JNPkJSU5PR6UlIS4uLiUFBQYF9XV1eHwsJCDBo0CACQmpqK8PBwpzQVFRU4ePCgPQ0Zj5luImYqi9kF4ljxfCBF2HFbU7oOkubOnYu1a9di3bp1aNu2LSorK1FZWYnz588DuNTMlpGRgWXLliE/Px8HDx7ErFmz0Lp1a0ybNg0AYLVaMXv2bCxcuBAff/wxSkpKMH36dPTq1QsjRowIZvEoRDiOcWTkMYTov7Q4hjwvyCcCQKOfC2Mkt3Q9we3q1asBAEOHDnVa/9prr2HWrFkAgMWLF+P8+fO45557UF1djf79+2Pr1q1o27atPf0zzzyDsLAwTJkyBefPn8fw4cORm5uLli1bBqooFMKMMMYRKdP0aL6ax5TnB/lCjT5F7JPknkUI7h05ampqYLVaMRQTEWYJD3Z2iMgk2AfJnC6KemzHe7DZbJr0aW26J/0u5UGEtYzya1sXGy7gk5K/aJZXI9N1cxuRJ2yeoGDz9xxkgER+E1ChT1KwC6FfDJLIsNzdXPQUPOkpL6Q+1xGxlR5vBkjkN3bc1hSDJDKNphuUXm48rCUIDY7HWOp4uwucGEAT6R+DJDI0tW80am2PAVJoc3yKsek8cH2ykecHqcLfJ9uaFpLEIIlMQ42bjhoTijJAoqsydjc7B6TWEfkrWCNur1q1CklJSYiKikJqaio+++wzt2nfeecdjBw5Er/61a8QHR2NgQMHYsuWLU5pcnNzYbFYmi0XLlxQnDc16XoIACJvHB/FVqu5zfH93gImqc/ijZCIzGzjxo3IyMjAqlWrMHjwYLz00ksYM2YMvvrqK/z6179uln7Hjh0YOXIkli1bhssvvxyvvfYaxo8fjz179iAlJcWeLjo6Gl9//bXTe6Oi/Htyz18cAkAmDgFARERyBWoIgOE9FyGsZaRf27rYUIuPD/0/2Xnt378/+vTpYx/LEAC6d++OSZMmITs7W9Zn9uzZE1OnTsUjjzwC4FJNUkZGBk6dOuVTGbTC5jYiIiKjCvDTbXV1dSguLkZaWprT+rS0NOzatUvWNhobG3H69Gm0b9/eaf2ZM2eQmJiIzp07Y9y4cSgpKZGdL60wSCIiIiLU1NQ4LbW1tc3S/PTTT2hoaGg2QXxsbGyzyebdefrpp3H27FlMmTLFvq5bt27Izc3Fpk2bsH79ekRFRWHw4ME4evSof4XyE4MkIiIio1KxJikhIQFWq9W+eGo6s1gsLtkQzdZJWb9+PZYuXYqNGzciJibGvn7AgAGYPn06evfujSFDhuDvf/87fvvb3+L555/3cceogx23iYiIjKoRgPfYxPs2AJSXlzv1SYqMbN7XqWPHjmjZsmWzWqOqqqpmtUuuNm7ciNmzZ+Ptt9/2OsF8ixYt0K9fP9YkERERkW/UHAIgOjraaZEKkiIiIpCamoqCggKn9QUFBRg0aJDbfK5fvx6zZs3CunXrcNNNN3ktlxACpaWl6NSpk8I9oi7WJBEREZFsmZmZSE9PR9++fTFw4EC8/PLLOH78OObMmQMAyMrKwsmTJ/HGG28AuBQgzZgxA88++ywGDBhgr4Vq1aoVrFYrAOCxxx7DgAED0LVrV9TU1OC5555DaWkpXnjhheAU8j8YJBERERmVGnOvKXz/1KlT8fPPP+Pxxx9HRUUFkpOTsXnzZiQmJgIAKioqcPz4cXv6l156CRcvXsTcuXMxd+5c+/qZM2ciNzcXAHDq1CnceeedqKyshNVqRUpKCnbs2IHrrrvOv7L5ieMkycRxkoiISK5AjZM04qoMVcZJ2vZtjmZ5NTL2SSIiIiKSwOY2IiIiowpCc1soYZBERERkWCoESWCQ5A6b24iIiIgksCaJiIjIqNjcpikGSUREREbVKOB3c1kjgyR32NxGREREJIE1SUREREYlGi8t/m6DJDFIIiIiMir2SdIUgyQiIiKjYp8kTbFPEhEREZEE1iQREREZFZvbNMUgiYiIyKgEVAiSVMmJKbG5jYiIiEgCa5KIiIiMis1tmmKQREREZFSNjQD8HOeokeMkucPmNiIiIiIJrEkiIiIyKja3aYpBEhERkVExSNIUm9uIiIiIJLAmiYiIyKg4LYmmGCQREREZlBCNEMK/p9P8fb+ZMUgiIiIyKiH8rwlinyS32CeJiIiISAJrkoiIiIxKqNAniTVJbjFIIiIiMqrGRsDiZ58i9klyi81tRERERBJYk0RERGRUbG7TFIMkIiIigxKNjRB+NrdxCAD32NxGREREJIE1SUREREbF5jZNMUgiIiIyqkYBWBgkaYXNbUREREQSWJNERERkVEIA8HecJNYkucMgiYiIyKBEo4Dws7lNMEhyK6Sa21atWoWkpCRERUUhNTUVn332WbCzRERE5DvRqM5CkkImSNq4cSMyMjKwZMkSlJSUYMiQIRgzZgyOHz8e7KwREREZitJKh8LCQqSmpiIqKgpdunTBiy++2CxNXl4eevTogcjISPTo0QP5+flaZV+2kAmSVqxYgdmzZ+P2229H9+7dkZOTg4SEBKxevTrYWSMiIvKJaBSqLEoorXQoKyvD2LFjMWTIEJSUlOChhx7Cfffdh7y8PHuaoqIiTJ06Fenp6di/fz/S09MxZcoU7Nmzx6/94y+LCIHGyLq6OrRu3Rpvv/02fv/739vXz58/H6WlpSgsLPS6jZqaGlitVgzFRIRZwrXMLhERGdxFUY/teA82mw3R0dGqb1/Ne5LSvPbv3x99+vRxqmTo3r07Jk2ahOzs7GbpH3jgAWzatAmHDx+2r5szZw7279+PoqIiAMDUqVNRU1ODDz/80J5m9OjRaNeuHdavX+9P8fwSEh23f/rpJzQ0NCA2NtZpfWxsLCorKyXfU1tbi9raWvvfNpsNAHAR9X6P20VEROZ2EfUAtO8UrcY9qSmvNTU1TusjIyMRGRnptK6urg7FxcV48MEHndanpaVh165dktsvKipCWlqa07pRo0ZhzZo1qK+vR3h4OIqKirBgwYJmaXJycnwpkmpCIkhqYrFYnP4WQjRb1yQ7OxuPPfZYs/U7sVmTvBERkfmcPn0aVqtV9e1GREQgLi4OOyvVuSdddtllSEhIcFr36KOPYunSpU7rfKl0qKyslEx/8eJF/PTTT+jUqZPbNO62GSghESR17NgRLVu2bLazq6qqmh2UJllZWcjMzLT/ferUKSQmJuL48eOanPDBVFNTg4SEBJSXl2tSLRxMLJsxsWzGxLL9lxACp0+fRnx8vCb5iYqKQllZGerq6lTZnlSlgWstkiMllQ7u0ruuV7rNQAiJICkiIgKpqakoKChw6pNUUFCAiRMnSr5HqpoRAKxWq+m+/E2io6NZNgNi2YyJZTMmJWXT+gd1VFQUoqKiNP0MV75UOsTFxUmmDwsLQ4cOHTymcbfNQAmZp9syMzPxt7/9Da+++ioOHz6MBQsW4Pjx45gzZ06ws0ZERGQIjpUOjgoKCjBo0CDJ9wwcOLBZ+q1bt6Jv374IDw/3mMbdNgMlJGqSgEs953/++Wc8/vjjqKioQHJyMjZv3ozExMRgZ42IiMgwMjMzkZ6ejr59+2LgwIF4+eWXnSodsrKycPLkSbzxxhsALj3JtnLlSmRmZuKOO+5AUVER1qxZ4/TU2vz583HDDTdg+fLlmDhxIt577z1s27YNO3fuDEoZ7QTJcuHCBfHoo4+KCxcuBDsrqmPZjIllMyaWzZjMXDZfvPDCCyIxMVFERESIPn36iMLCQvtrM2fOFDfeeKNT+u3bt4uUlBQREREhrrzySrF69epm23z77bfF1VdfLcLDw0W3bt1EXl6e1sXwKiTGSSIiIiJSKmT6JBEREREpwSCJiIiISAKDJCIiIiIJDJKIiIiIJDBIkmHVqlVISkpCVFQUUlNT8dlnnwU7S15lZ2ejX79+aNu2LWJiYjBp0iR8/fXXTmmEEFi6dCni4+PRqlUrDB06FIcOHXJKU1tbi3vvvRcdO3ZEmzZtMGHCBJw4cSKQRfEoOzsbFosFGRkZ9nVGL9fJkycxffp0dOjQAa1bt8a1116L4uJi++tGLd/Fixfx8MMPIykpCa1atUKXLl3w+OOPo7Gx0Z7GKGXbsWMHxo8fj/j4eFgsFrz77rtOr6tVjurqaqSnp8NqtcJqtSI9PR2nTp0KWtnq6+vxwAMPoFevXmjTpg3i4+MxY8YM/PDDD4Yvm6u77roLFoul2dxhei0baSSIT9YZwoYNG0R4eLh45ZVXxFdffSXmz58v2rRpI44dOxbsrHk0atQo8dprr4mDBw+K0tJScdNNN4lf//rX4syZM/Y0f/nLX0Tbtm1FXl6eOHDggJg6daro1KmTqKmpsaeZM2eOuOKKK0RBQYH44osvxLBhw0Tv3r3FxYsXg1EsJ3v37hVXXnmluOaaa8T8+fPt641crl9++UUkJiaKWbNmiT179oiysjKxbds28c0339jTGLV8TzzxhOjQoYP44IMPRFlZmXj77bfFZZddJnJycuxpjFK2zZs3iyVLloi8vDwBQOTn5zu9rlY5Ro8eLZKTk8WuXbvErl27RHJyshg3blzQynbq1CkxYsQIsXHjRnHkyBFRVFQk+vfvL1JTU522YcSyOcrPzxe9e/cW8fHx4plnnnF6Ta9lI20wSPLiuuuuE3PmzHFa161bN/Hggw8GKUe+qaqqEgDsY1k0NjaKuLg48Ze//MWe5sKFC8JqtYoXX3xRCHHpghgeHi42bNhgT3Py5EnRokUL8dFHHwW2AC5Onz4tunbtKgoKCsSNN95oD5KMXq4HHnhAXH/99W5fN3L5brrpJvG///u/TusmT54spk+fLoQwbtlcb7ZqleOrr74SAMTu3bvtaYqKigQAceTIEY1LdYmnQKLJ3r17BQD7D0ejl+3EiRPiiiuuEAcPHhSJiYlOQZJRykbqYXObB3V1dSguLkZaWprT+rS0NOzatStIufKNzWYDALRv3x4AUFZWhsrKSqeyRUZG4sYbb7SXrbi4GPX19U5p4uPjkZycHPTyz507FzfddBNGjBjhtN7o5dq0aRP69u2LP/zhD4iJiUFKSgpeeeUV++tGLt/111+Pjz/+GP/6178AAPv378fOnTsxduxYAMYumyO1ylFUVASr1Yr+/fvb0wwYMABWq1U3ZQUuXVssFgsuv/xyAMYuW2NjI9LT07Fo0SL07Nmz2etGLhv5JmSmJfHFTz/9hIaGhmYT7MXGxjabiE/PhBDIzMzE9ddfj+TkZACw51+qbMeOHbOniYiIQLt27ZqlCWb5N2zYgC+++AKff/55s9eMXC4A+O6777B69WpkZmbioYcewt69e3HfffchMjISM2bMMHT5HnjgAdhsNnTr1g0tW7ZEQ0MDnnzySfzxj38EYPxj10StclRWViImJqbZ9mNiYnRT1gsXLuDBBx/EtGnT7JO+Grlsy5cvR1hYGO677z7J141cNvINgyQZLBaL099CiGbr9GzevHn48ssvJefA8aVswSx/eXk55s+fj61bt3qc/dpo5WrS2NiIvn37YtmyZQCAlJQUHDp0CKtXr8aMGTPs6YxYvo0bN2Lt2rVYt24devbsidLSUmRkZCA+Ph4zZ860pzNi2aSoUQ6p9Hopa319PW655RY0NjZi1apVXtPrvWzFxcV49tln8cUXXyjOg97LRr5jc5sHHTt2RMuWLZtF/1VVVc1+JerVvffei02bNuHTTz9F586d7evj4uIAwGPZ4uLiUFdXh+rqardpAq24uBhVVVVITU1FWFgYwsLCUFhYiOeeew5hYWH2fBmtXE06deqEHj16OK3r3r07jh8/DsC4xw0AFi1ahAcffBC33HILevXqhfT0dCxYsADZ2dkAjF02R2qVIy4uDv/+97+bbf/HH38Melnr6+sxZcoUlJWVoaCgwF6LBBi3bJ999hmqqqrw61//2n5tOXbsGBYuXIgrr7wSgHHLRr5jkORBREQEUlNTUVBQ4LS+oKAAgwYNClKu5BFCYN68eXjnnXfwySefICkpyen1pKQkxMXFOZWtrq4OhYWF9rKlpqYiPDzcKU1FRQUOHjwYtPIPHz4cBw4cQGlpqX3p27cvbr31VpSWlqJLly6GLFeTwYMHNxuq4V//+hcSExMBGPe4AcC5c+fQooXzJadly5b2IQCMXDZHapVj4MCBsNls2Lt3rz3Nnj17YLPZglrWpgDp6NGj2LZtGzp06OD0ulHLlp6eji+//NLp2hIfH49FixZhy5YtAIxbNvJDoHuKG03TEABr1qwRX331lcjIyBBt2rQR33//fbCz5tHdd98trFar2L59u6ioqLAv586ds6f5y1/+IqxWq3jnnXfEgQMHxB//+EfJx5Q7d+4stm3bJr744gvxu9/9LuiPkrtyfLpNCGOXa+/evSIsLEw8+eST4ujRo+Ktt94SrVu3FmvXrrWnMWr5Zs6cKa644gr7EADvvPOO6Nixo1i8eLE9jVHKdvr0aVFSUiJKSkoEALFixQpRUlJif8JLrXKMHj1aXHPNNaKoqEgUFRWJXr16af4ouaey1dfXiwkTJojOnTuL0tJSp2tLbW2tocsmxfXpNiH0WzbSBoMkGV544QWRmJgoIiIiRJ8+feyP0esZAMnltddes6dpbGwUjz76qIiLixORkZHihhtuEAcOHHDazvnz58W8efNE+/btRatWrcS4cePE8ePHA1waz1yDJKOX6/333xfJyckiMjJSdOvWTbz88stOrxu1fDU1NWL+/Pni17/+tYiKihJdunQRS5Yscbq5GqVsn376qeT3a+bMmaqW4+effxa33nqraNu2rWjbtq249dZbRXV1ddDKVlZW5vba8umnnxq6bFKkgiS9lo20YRFCiEDUWBEREREZCfskEREREUlgkEREREQkgUESERERkQQGSUREREQSGCQRERERSWCQRERERCSBQRIRERGRBAZJRERERBIYJBERERFJYJBEREREJIFBEhEp8uOPPyIuLg7Lli2zr9uzZw8iIiKwdevWIOaMiEhdnLuNiBTbvHkzJk2ahF27dqFbt25ISUnBTTfdhJycnGBnjYhINQySiMgnc+fOxbZt29CvXz/s378fn3/+OaKiooKdLSIi1TBIIiKfnD9/HsnJySgvL8e+fftwzTXXBDtLRESqYp8kIvLJd999hx9++AGNjY04duxYsLNDRKQ61iQRkWJ1dXW47rrrcO2116Jbt25YsWIFDhw4gNjY2GBnjYhINQySiEixRYsW4R//+Af279+Pyy67DMOGDUPbtm3xwQcfBDtrRESqYXMbESmyfft25OTk4M0330R0dDRatGiBN998Ezt37sTq1auDnT0iItWwJomIiIhIAmuSiIiIiCQwSCIiIiKSwCCJiIiISAKDJCIiIiIJDJKIiIiIJDBIIiIiIpLAIImIiIhIAoMkIiIiIgkMkoiIiIgkMEgiIiIiksAgiYiIiEgCgyQiIiIiCf8fHfXqI3GDGAEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cote_dir.sum(dim='direction').plot(cmap='viridis')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3835178",
   "metadata": {},
   "source": [
    "## The real work"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e935dfb6",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "coastal points:30307 / starting point: jzero=158, i_zero=374\n",
      "New start n=3387  j_p=238  i_p=387  cote_total:1 cote_dir:[False  True False False] liste_land:1\n",
      "New start n=3396  j_p=243  i_p=729  cote_total:1 cote_dir:[False  True False False] liste_land:2\n",
      "New start n=3407  j_p=298  i_p=786  cote_total:1 cote_dir:[False  True False False] liste_land:3\n",
      "New start n=3412  j_p=313  i_p=367  cote_total:1 cote_dir:[False  True False False] liste_land:4\n",
      "New start n=3421  j_p=320  i_p=361  cote_total:1 cote_dir:[False  True False False] liste_land:5\n",
      "New start n=3426  j_p=321  i_p=1342 cote_total:1 cote_dir:[False  True False False] liste_land:6\n",
      "New start n=3431  j_p=324  i_p=358  cote_total:1 cote_dir:[False  True False False] liste_land:7\n",
      "New start n=3436  j_p=330  i_p=884  cote_total:1 cote_dir:[False  True False False] liste_land:8\n",
      "New start n=3441  j_p=332  i_p=885  cote_total:1 cote_dir:[False  True False False] liste_land:9\n",
      "New start n=3446  j_p=336  i_p=120  cote_total:1 cote_dir:[False  True False False] liste_land:10\n",
      "New start n=3451  j_p=339  i_p=894  cote_total:1 cote_dir:[False  True False False] liste_land:11\n",
      "New start n=3474  j_p=343  i_p=898  cote_total:1 cote_dir:[False  True False False] liste_land:12\n",
      "New start n=3487  j_p=344  i_p=916  cote_total:1 cote_dir:[False  True False False] liste_land:13\n",
      "New start n=3508  j_p=352  i_p=924  cote_total:1 cote_dir:[False  True False False] liste_land:14\n",
      "New start n=3529  j_p=355  i_p=922  cote_total:1 cote_dir:[False  True False False] liste_land:15\n",
      "New start n=3534  j_p=356  i_p=898  cote_total:1 cote_dir:[False  True False False] liste_land:16\n",
      "New start n=3539  j_p=359  i_p=907  cote_total:1 cote_dir:[False  True False False] liste_land:17\n",
      "New start n=3546  j_p=360  i_p=905  cote_total:1 cote_dir:[False  True False False] liste_land:18\n",
      "New start n=3551  j_p=361  i_p=910  cote_total:1 cote_dir:[False  True False False] liste_land:19\n",
      "New start n=3556  j_p=362  i_p=912  cote_total:1 cote_dir:[False  True False False] liste_land:20\n",
      "New start n=3577  j_p=371  i_p=927  cote_total:1 cote_dir:[False  True False False] liste_land:21\n",
      "New start n=3586  j_p=376  i_p=966  cote_total:1 cote_dir:[False  True False False] liste_land:22\n",
      "New start n=3591  j_p=413  i_p=879  cote_total:1 cote_dir:[False  True False False] liste_land:23\n",
      "New start n=3596  j_p=414  i_p=876  cote_total:1 cote_dir:[False  True False False] liste_land:24\n",
      "New start n=3601  j_p=416  i_p=870  cote_total:1 cote_dir:[False  True False False] liste_land:25\n",
      "New start n=9018  j_p=420  i_p=890  cote_total:1 cote_dir:[False  True False False] liste_land:26\n",
      "New start n=9027  j_p=420  i_p=1003 cote_total:1 cote_dir:[False  True False False] liste_land:27\n",
      "New start n=9054  j_p=431  i_p=2    cote_total:1 cote_dir:[False  True False False] liste_land:28\n",
      "New start n=9059  j_p=432  i_p=851  cote_total:1 cote_dir:[False  True False False] liste_land:29\n",
      "New start n=9070  j_p=437  i_p=910  cote_total:1 cote_dir:[False  True False False] liste_land:30\n",
      "New start n=9111  j_p=446  i_p=372  cote_total:1 cote_dir:[False  True False False] liste_land:31\n",
      "New start n=9118  j_p=448  i_p=847  cote_total:1 cote_dir:[False  True False False] liste_land:32\n",
      "New start n=9127  j_p=454  i_p=1424 cote_total:1 cote_dir:[False  True False False] liste_land:33\n",
      "New start n=9152  j_p=469  i_p=379  cote_total:1 cote_dir:[False  True False False] liste_land:34\n",
      "New start n=9161  j_p=472  i_p=382  cote_total:1 cote_dir:[False  True False False] liste_land:35\n",
      "New start n=9294  j_p=487  i_p=442  cote_total:1 cote_dir:[False  True False False] liste_land:36\n",
      "New start n=9301  j_p=489  i_p=295  cote_total:1 cote_dir:[False  True False False] liste_land:37\n",
      "New start n=9366  j_p=500  i_p=409  cote_total:1 cote_dir:[False  True False False] liste_land:38\n",
      "New start n=9507  j_p=506  i_p=301  cote_total:1 cote_dir:[False  True False False] liste_land:39\n",
      "New start n=9520  j_p=508  i_p=284  cote_total:1 cote_dir:[False  True False False] liste_land:40\n",
      "New start n=9529  j_p=514  i_p=292  cote_total:1 cote_dir:[False  True False False] liste_land:41\n",
      "New start n=10310 j_p=529  i_p=255  cote_total:1 cote_dir:[False  True False False] liste_land:42\n",
      "New start n=10323 j_p=535  i_p=1226 cote_total:1 cote_dir:[False  True False False] liste_land:43\n",
      "New start n=17872 j_p=578  i_p=1328 cote_total:1 cote_dir:[False  True False False] liste_land:44\n",
      "New start n=18055 j_p=589  i_p=376  cote_total:1 cote_dir:[False  True False False] liste_land:45\n",
      "New start n=18102 j_p=595  i_p=380  cote_total:1 cote_dir:[False  True False False] liste_land:46\n",
      "New start n=18107 j_p=596  i_p=1370 cote_total:1 cote_dir:[False  True False False] liste_land:47\n",
      "New start n=18116 j_p=597  i_p=377  cote_total:1 cote_dir:[False  True False False] liste_land:48\n",
      "New start n=18121 j_p=599  i_p=374  cote_total:1 cote_dir:[False  True False False] liste_land:49\n",
      "New start n=18126 j_p=600  i_p=1378 cote_total:1 cote_dir:[False  True False False] liste_land:50\n",
      "New start n=18135 j_p=603  i_p=386  cote_total:1 cote_dir:[False  True False False] liste_land:51\n",
      "New start n=18140 j_p=606  i_p=384  cote_total:1 cote_dir:[False  True False False] liste_land:52\n",
      "New start n=18149 j_p=606  i_p=421  cote_total:1 cote_dir:[False  True False False] liste_land:53\n",
      "New start n=18156 j_p=609  i_p=418  cote_total:1 cote_dir:[False  True False False] liste_land:54\n",
      "New start n=18177 j_p=609  i_p=434  cote_total:1 cote_dir:[False  True False False] liste_land:55\n",
      "New start n=18182 j_p=610  i_p=579  cote_total:1 cote_dir:[False  True False False] liste_land:56\n",
      "New start n=18187 j_p=611  i_p=381  cote_total:1 cote_dir:[False  True False False] liste_land:57\n",
      "New start n=18194 j_p=611  i_p=550  cote_total:1 cote_dir:[False  True False False] liste_land:58\n",
      "New start n=18201 j_p=613  i_p=433  cote_total:1 cote_dir:[False  True False False] liste_land:59\n",
      "New start n=18206 j_p=614  i_p=569  cote_total:1 cote_dir:[False  True False False] liste_land:60\n",
      "New start n=18211 j_p=614  i_p=575  cote_total:1 cote_dir:[False  True False False] liste_land:61\n",
      "New start n=18216 j_p=615  i_p=381  cote_total:1 cote_dir:[False  True False False] liste_land:62\n",
      "New start n=18221 j_p=615  i_p=423  cote_total:1 cote_dir:[False  True False False] liste_land:63\n",
      "New start n=18238 j_p=615  i_p=428  cote_total:1 cote_dir:[False  True False False] liste_land:64\n",
      "New start n=18245 j_p=615  i_p=542  cote_total:1 cote_dir:[False  True False False] liste_land:65\n",
      "New start n=18250 j_p=616  i_p=378  cote_total:1 cote_dir:[False  True False False] liste_land:66\n",
      "New start n=18263 j_p=616  i_p=572  cote_total:1 cote_dir:[False  True False False] liste_land:67\n",
      "New start n=18270 j_p=617  i_p=381  cote_total:1 cote_dir:[False  True False False] liste_land:68\n",
      "New start n=18275 j_p=617  i_p=565  cote_total:1 cote_dir:[False  True False False] liste_land:69\n",
      "New start n=18282 j_p=617  i_p=569  cote_total:1 cote_dir:[False  True False False] liste_land:70\n",
      "New start n=18287 j_p=617  i_p=575  cote_total:1 cote_dir:[False  True False False] liste_land:71\n",
      "New start n=18292 j_p=618  i_p=578  cote_total:1 cote_dir:[False  True False False] liste_land:72\n",
      "New start n=18297 j_p=619  i_p=561  cote_total:1 cote_dir:[False  True False False] liste_land:73\n",
      "New start n=18302 j_p=619  i_p=564  cote_total:1 cote_dir:[False  True False False] liste_land:74\n",
      "New start n=18311 j_p=619  i_p=567  cote_total:1 cote_dir:[False  True False False] liste_land:75\n",
      "New start n=18316 j_p=620  i_p=375  cote_total:1 cote_dir:[False  True False False] liste_land:76\n",
      "New start n=18333 j_p=621  i_p=558  cote_total:1 cote_dir:[False  True False False] liste_land:77\n",
      "New start n=18342 j_p=621  i_p=561  cote_total:1 cote_dir:[False  True False False] liste_land:78\n",
      "New start n=18347 j_p=622  i_p=555  cote_total:1 cote_dir:[False  True False False] liste_land:79\n",
      "New start n=18352 j_p=625  i_p=564  cote_total:1 cote_dir:[False  True False False] liste_land:80\n",
      "New start n=18357 j_p=625  i_p=568  cote_total:1 cote_dir:[False  True False False] liste_land:81\n",
      "New start n=18362 j_p=626  i_p=254  cote_total:1 cote_dir:[False  True False False] liste_land:82\n",
      "New start n=18371 j_p=627  i_p=378  cote_total:1 cote_dir:[False  True False False] liste_land:83\n",
      "New start n=18376 j_p=627  i_p=460  cote_total:1 cote_dir:[False  True False False] liste_land:84\n",
      "New start n=18389 j_p=631  i_p=1329 cote_total:1 cote_dir:[False  True False False] liste_land:85\n",
      "New start n=18394 j_p=633  i_p=1323 cote_total:1 cote_dir:[False  True False False] liste_land:86\n",
      "New start n=18399 j_p=634  i_p=1326 cote_total:1 cote_dir:[False  True False False] liste_land:87\n",
      "New start n=18404 j_p=636  i_p=229  cote_total:1 cote_dir:[False  True False False] liste_land:88\n",
      "New start n=18419 j_p=636  i_p=349  cote_total:1 cote_dir:[False  True False False] liste_land:89\n",
      "New start n=18424 j_p=636  i_p=1321 cote_total:1 cote_dir:[False  True False False] liste_land:90\n",
      "New start n=18431 j_p=637  i_p=321  cote_total:1 cote_dir:[False  True False False] liste_land:91\n",
      "New start n=18440 j_p=640  i_p=195  cote_total:1 cote_dir:[False  True False False] liste_land:92\n",
      "New start n=18447 j_p=640  i_p=200  cote_total:1 cote_dir:[False  True False False] liste_land:93\n",
      "New start n=18454 j_p=640  i_p=355  cote_total:1 cote_dir:[False  True False False] liste_land:94\n",
      "New start n=18467 j_p=640  i_p=372  cote_total:1 cote_dir:[False  True False False] liste_land:95\n",
      "New start n=18472 j_p=641  i_p=308  cote_total:1 cote_dir:[False  True False False] liste_land:96\n",
      "New start n=18771 j_p=642  i_p=189  cote_total:1 cote_dir:[False  True False False] liste_land:97\n",
      "New start n=18796 j_p=642  i_p=203  cote_total:1 cote_dir:[False  True False False] liste_land:98\n",
      "New start n=18841 j_p=642  i_p=277  cote_total:1 cote_dir:[False  True False False] liste_land:99\n",
      "New start n=18846 j_p=643  i_p=313  cote_total:1 cote_dir:[False  True False False] liste_land:100\n",
      "New start n=18851 j_p=644  i_p=277  cote_total:1 cote_dir:[False  True False False] liste_land:101\n",
      "New start n=18856 j_p=644  i_p=347  cote_total:1 cote_dir:[False  True False False] liste_land:102\n",
      "New start n=18869 j_p=644  i_p=354  cote_total:1 cote_dir:[False  True False False] liste_land:103\n",
      "New start n=18890 j_p=645  i_p=310  cote_total:1 cote_dir:[False  True False False] liste_land:104\n",
      "New start n=18897 j_p=645  i_p=1333 cote_total:1 cote_dir:[False  True False False] liste_land:105\n",
      "New start n=18902 j_p=645  i_p=1352 cote_total:1 cote_dir:[False  True False False] liste_land:106\n",
      "New start n=18907 j_p=647  i_p=319  cote_total:1 cote_dir:[False  True False False] liste_land:107\n",
      "New start n=18912 j_p=648  i_p=173  cote_total:1 cote_dir:[False  True False False] liste_land:108\n",
      "New start n=19001 j_p=648  i_p=340  cote_total:1 cote_dir:[False  True False False] liste_land:109\n",
      "New start n=19014 j_p=649  i_p=309  cote_total:1 cote_dir:[False  True False False] liste_land:110\n",
      "New start n=19019 j_p=649  i_p=347  cote_total:1 cote_dir:[False  True False False] liste_land:111\n",
      "New start n=19038 j_p=650  i_p=210  cote_total:1 cote_dir:[False  True False False] liste_land:112\n",
      "New start n=19057 j_p=650  i_p=219  cote_total:1 cote_dir:[False  True False False] liste_land:113\n",
      "New start n=19064 j_p=651  i_p=227  cote_total:1 cote_dir:[False  True False False] liste_land:114\n",
      "New start n=19069 j_p=651  i_p=233  cote_total:1 cote_dir:[False  True False False] liste_land:115\n",
      "New start n=19082 j_p=651  i_p=336  cote_total:1 cote_dir:[False  True False False] liste_land:116\n",
      "New start n=19087 j_p=651  i_p=1307 cote_total:1 cote_dir:[False  True False False] liste_land:117\n",
      "New start n=19092 j_p=652  i_p=334  cote_total:1 cote_dir:[False  True False False] liste_land:118\n",
      "New start n=19097 j_p=654  i_p=336  cote_total:1 cote_dir:[False  True False False] liste_land:119\n",
      "New start n=19112 j_p=655  i_p=170  cote_total:1 cote_dir:[False  True False False] liste_land:120\n",
      "New start n=19117 j_p=656  i_p=246  cote_total:1 cote_dir:[False  True False False] liste_land:121\n",
      "New start n=19134 j_p=656  i_p=330  cote_total:1 cote_dir:[False  True False False] liste_land:122\n",
      "New start n=19159 j_p=658  i_p=190  cote_total:1 cote_dir:[False  True False False] liste_land:123\n",
      "New start n=19164 j_p=658  i_p=307  cote_total:1 cote_dir:[False  True False False] liste_land:124\n",
      "New start n=19259 j_p=658  i_p=1305 cote_total:1 cote_dir:[False  True False False] liste_land:125\n",
      "New start n=19268 j_p=660  i_p=300  cote_total:1 cote_dir:[False  True False False] liste_land:126\n",
      "New start n=19273 j_p=661  i_p=117  cote_total:1 cote_dir:[False  True False False] liste_land:127\n",
      "New start n=19278 j_p=661  i_p=186  cote_total:1 cote_dir:[False  True False False] liste_land:128\n",
      "New start n=19465 j_p=661  i_p=346  cote_total:1 cote_dir:[False  True False False] liste_land:129\n",
      "New start n=19472 j_p=662  i_p=196  cote_total:1 cote_dir:[False  True False False] liste_land:130\n",
      "New start n=19477 j_p=662  i_p=1307 cote_total:1 cote_dir:[False  True False False] liste_land:131\n",
      "New start n=19484 j_p=667  i_p=167  cote_total:1 cote_dir:[False  True False False] liste_land:132\n",
      "New start n=19689 j_p=668  i_p=214  cote_total:1 cote_dir:[False  True False False] liste_land:133\n",
      "New start n=19704 j_p=668  i_p=231  cote_total:1 cote_dir:[False  True False False] liste_land:134\n",
      "New start n=19737 j_p=670  i_p=110  cote_total:1 cote_dir:[False  True False False] liste_land:135\n",
      "New start n=19748 j_p=671  i_p=137  cote_total:1 cote_dir:[False  True False False] liste_land:136\n",
      "New start n=19765 j_p=672  i_p=1275 cote_total:1 cote_dir:[False False  True False] liste_land:137\n",
      "New start n=19824 j_p=674  i_p=107  cote_total:1 cote_dir:[False  True False False] liste_land:138\n",
      "New start n=19829 j_p=675  i_p=228  cote_total:1 cote_dir:[False  True False False] liste_land:139\n",
      "New start n=19838 j_p=675  i_p=295  cote_total:1 cote_dir:[False  True False False] liste_land:140\n",
      "New start n=19847 j_p=676  i_p=104  cote_total:1 cote_dir:[False  True False False] liste_land:141\n",
      "New start n=19862 j_p=676  i_p=206  cote_total:1 cote_dir:[False  True False False] liste_land:142\n",
      "New start n=19877 j_p=676  i_p=252  cote_total:1 cote_dir:[False  True False False] liste_land:143\n",
      "New start n=19886 j_p=677  i_p=200  cote_total:1 cote_dir:[False  True False False] liste_land:144\n",
      "New start n=19893 j_p=677  i_p=217  cote_total:1 cote_dir:[False  True False False] liste_land:145\n",
      "New start n=19904 j_p=678  i_p=786  cote_total:1 cote_dir:[False  True False False] liste_land:146\n",
      "New start n=19909 j_p=679  i_p=252  cote_total:1 cote_dir:[False  True False False] liste_land:147\n",
      "New start n=19920 j_p=679  i_p=783  cote_total:1 cote_dir:[False  True False False] liste_land:148\n",
      "New start n=19939 j_p=680  i_p=218  cote_total:1 cote_dir:[False  True False False] liste_land:149\n",
      "New start n=19986 j_p=680  i_p=787  cote_total:1 cote_dir:[False  True False False] liste_land:150\n",
      "New start n=19993 j_p=680  i_p=790  cote_total:1 cote_dir:[False  True False False] liste_land:151\n",
      "New start n=20000 j_p=681  i_p=126  cote_total:1 cote_dir:[False  True False False] liste_land:152\n",
      "New start n=20011 j_p=682  i_p=102  cote_total:1 cote_dir:[False  True False False] liste_land:153\n",
      "New start n=20016 j_p=682  i_p=230  cote_total:1 cote_dir:[False  True False False] liste_land:154\n",
      "New start n=20027 j_p=684  i_p=1174 cote_total:1 cote_dir:[False  True False False] liste_land:155\n",
      "New start n=20032 j_p=686  i_p=99   cote_total:1 cote_dir:[False  True False False] liste_land:156\n",
      "New start n=20045 j_p=687  i_p=126  cote_total:1 cote_dir:[False  True False False] liste_land:157\n",
      "New start n=20050 j_p=687  i_p=400  cote_total:1 cote_dir:[False  True False False] liste_land:158\n",
      "New start n=20055 j_p=689  i_p=400  cote_total:1 cote_dir:[False  True False False] liste_land:159\n",
      "New start n=20062 j_p=692  i_p=222  cote_total:1 cote_dir:[False  True False False] liste_land:160\n",
      "New start n=20069 j_p=693  i_p=93   cote_total:1 cote_dir:[False  True False False] liste_land:161\n",
      "New start n=20078 j_p=696  i_p=133  cote_total:1 cote_dir:[False  True False False] liste_land:162\n",
      "New start n=20083 j_p=696  i_p=1182 cote_total:1 cote_dir:[False  True False False] liste_land:163\n",
      "New start n=20092 j_p=697  i_p=210  cote_total:1 cote_dir:[False  True False False] liste_land:164\n",
      "New start n=20097 j_p=698  i_p=141  cote_total:1 cote_dir:[False  True False False] liste_land:165\n",
      "New start n=20104 j_p=699  i_p=215  cote_total:1 cote_dir:[False  True False False] liste_land:166\n",
      "New start n=20115 j_p=703  i_p=216  cote_total:1 cote_dir:[False  True False False] liste_land:167\n",
      "New start n=20132 j_p=704  i_p=188  cote_total:1 cote_dir:[False  True False False] liste_land:168\n",
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      "New start n=26999 j_p=1052 i_p=1090 cote_total:1 cote_dir:[False  True False False] liste_land:419\n",
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      "New start n=27131 j_p=1083 i_p=343  cote_total:1 cote_dir:[False  True False False] liste_land:427\n",
      "New start n=27164 j_p=1083 i_p=889  cote_total:1 cote_dir:[False  True False False] liste_land:428\n",
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      "New start n=27339 j_p=1107 i_p=1061 cote_total:1 cote_dir:[False  True False False] liste_land:441\n",
      "New start n=27344 j_p=1110 i_p=927  cote_total:1 cote_dir:[False  True False False] liste_land:442\n",
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      "New start n=27400 j_p=1111 i_p=1124 cote_total:1 cote_dir:[False  True False False] liste_land:444\n",
      "New start n=27577 j_p=1116 i_p=882  cote_total:1 cote_dir:[False  True False False] liste_land:445\n",
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      "New start n=27603 j_p=1124 i_p=1226 cote_total:1 cote_dir:[False  True False False] liste_land:447\n",
      "New start n=27628 j_p=1129 i_p=869  cote_total:1 cote_dir:[False  True False False] liste_land:448\n",
      "New start n=27633 j_p=1129 i_p=932  cote_total:1 cote_dir:[False  True False False] liste_land:449\n",
      "New start n=27814 j_p=1130 i_p=968  cote_total:1 cote_dir:[False  True False False] liste_land:450\n",
      "New start n=27819 j_p=1131 i_p=966  cote_total:1 cote_dir:[False  True False False] liste_land:451\n",
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      "New start n=27981 j_p=1133 i_p=1058 cote_total:1 cote_dir:[False  True False False] liste_land:453\n",
      "New start n=27990 j_p=1134 i_p=944  cote_total:1 cote_dir:[False  True False False] liste_land:454\n",
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      "New start n=28423 j_p=1141 i_p=856  cote_total:1 cote_dir:[False  True False False] liste_land:457\n",
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      "New start n=28647 j_p=1145 i_p=292  cote_total:1 cote_dir:[False  True False False] liste_land:459\n",
      "New start n=28658 j_p=1147 i_p=1027 cote_total:1 cote_dir:[False  True False False] liste_land:460\n",
      "New start n=28663 j_p=1149 i_p=580  cote_total:1 cote_dir:[False  True False False] liste_land:461\n",
      "New start n=29202 j_p=1150 i_p=292  cote_total:1 cote_dir:[False  True False False] liste_land:462\n",
      "New start n=29247 j_p=1152 i_p=859  cote_total:1 cote_dir:[False  True False False] liste_land:463\n",
      "New start n=29252 j_p=1156 i_p=834  cote_total:1 cote_dir:[False  True False False] liste_land:464\n",
      "New start n=29257 j_p=1158 i_p=274  cote_total:1 cote_dir:[False  True False False] liste_land:465\n",
      "New start n=29266 j_p=1159 i_p=881  cote_total:1 cote_dir:[False  True False False] liste_land:466\n",
      "New start n=29407 j_p=1160 i_p=291  cote_total:1 cote_dir:[False  True False False] liste_land:467\n",
      "New start n=29482 j_p=1160 i_p=840  cote_total:1 cote_dir:[False  True False False] liste_land:468\n",
      "New start n=29499 j_p=1161 i_p=508  cote_total:1 cote_dir:[False  True False False] liste_land:469\n",
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      "New start n=30401 j_p=1179 i_p=304  cote_total:1 cote_dir:[False  True False False] liste_land:501\n",
      "New start n=30410 j_p=1180 i_p=1135 cote_total:1 cote_dir:[False  True False False] liste_land:502\n",
      "New start n=30423 j_p=1182 i_p=251  cote_total:1 cote_dir:[False  True False False] liste_land:503\n",
      "New start n=30430 j_p=1182 i_p=617  cote_total:1 cote_dir:[False  True False False] liste_land:504\n",
      "New start n=30437 j_p=1182 i_p=1147 cote_total:1 cote_dir:[False  True False False] liste_land:505\n",
      "New start n=30442 j_p=1183 i_p=507  cote_total:1 cote_dir:[False  True False False] liste_land:506\n",
      "New start n=30453 j_p=1184 i_p=829  cote_total:1 cote_dir:[False  True False False] liste_land:507\n",
      "New start n=30468 j_p=1185 i_p=496  cote_total:1 cote_dir:[False  True False False] liste_land:508\n",
      "New start n=30513 j_p=1185 i_p=619  cote_total:1 cote_dir:[False  True False False] liste_land:509\n",
      "New start n=30520 j_p=1185 i_p=943  cote_total:1 cote_dir:[False  True False False] liste_land:510\n",
      "New start n=30593 j_p=1185 i_p=1131 cote_total:1 cote_dir:[False  True False False] liste_land:511\n",
      "New start n=30598 j_p=1186 i_p=228  cote_total:1 cote_dir:[False  True False False] liste_land:512\n",
      "New start n=30607 j_p=1186 i_p=1138 cote_total:1 cote_dir:[False  True False False] liste_land:513\n",
      "New start n=30614 j_p=1188 i_p=963  cote_total:1 cote_dir:[False  True False False] liste_land:514\n",
      "New start n=30629 j_p=1189 i_p=492  cote_total:1 cote_dir:[False  True False False] liste_land:515\n",
      "New start n=30660 j_p=1189 i_p=942  cote_total:1 cote_dir:[False  True False False] liste_land:516\n",
      "New start n=30675 j_p=1190 i_p=1133 cote_total:1 cote_dir:[False  True False False] liste_land:517\n",
      "New start n=30684 j_p=1192 i_p=620  cote_total:1 cote_dir:[False  True False False] liste_land:518\n",
      "New start n=30691 j_p=1192 i_p=625  cote_total:1 cote_dir:[False  True False False] liste_land:519\n",
      "New start n=30698 j_p=1193 i_p=913  cote_total:1 cote_dir:[False  True False False] liste_land:520\n",
      "New start n=30717 j_p=1194 i_p=230  cote_total:1 cote_dir:[False  True False False] liste_land:521\n",
      "New start n=30734 j_p=1194 i_p=892  cote_total:1 cote_dir:[False  True False False] liste_land:522\n",
      "New start n=30775 j_p=1196 i_p=636  cote_total:1 cote_dir:[False  True False False] liste_land:523\n",
      "New start n=30782 j_p=1196 i_p=934  cote_total:1 cote_dir:[False  True False False] liste_land:524\n",
      "New start n=30811 j_p=1196 i_p=1208 cote_total:1 cote_dir:[False  True False False] liste_land:525\n",
      "New start n=30826 j_p=1200 i_p=545  cote_total:1 cote_dir:[False  True False False] liste_land:526\n",
      "New start n=30833 j_p=1200 i_p=616  cote_total:1 cote_dir:[False  True False False] liste_land:527\n",
      "\n",
      "All points processed\n",
      "Length : 31366 - Land masses : 528\n"
     ]
    }
   ],
   "source": [
    "importlib.reload (nemo)\n",
    "\n",
    "## Compute directions\n",
    "cote_dir = cote_dir_comp (maskC)\n",
    "\n",
    "## Count the number of directions for each point\n",
    "cote_total = cote_dir.sum (dim='direction')\n",
    "\n",
    "## We start from 0\n",
    "i_start = 0\n",
    "\n",
    "# Get first coastal point to start\n",
    "j_zero, i_zero = nemo.lbc_index (coastal_points[0][i_start], coastal_points[1][i_start], jpj, jpi, nperio=nperio, cd_type='F')\n",
    "print ( f'coastal points:{len(coastal_points[0])} / starting point: jzero={j_zero.item()}, i_zero={i_zero.item()}')\n",
    "j_s, i_s = j_zero, i_zero\n",
    "\n",
    "# Intialize the list of points indexes, points longitudes and latitudes\n",
    "list_lat    = [ latE.values[j_zero, i_zero] ]\n",
    "list_lon    = [ lonE.values[j_zero, i_zero] ]\n",
    "list_idx    = [            [j_zero, i_zero] ]\n",
    "list_j = [j_zero] ; list_i = [i_zero]\n",
    "\n",
    "# To numerate land masses\n",
    "i_land      = 1\n",
    "list_land   = [i_land]  # To numerate land masses\n",
    "list_inner  = [0] # 1 if inner water body (lake, closed sea)\n",
    "\n",
    "# Bad trick to have the first land mass (Antartica) in the same longitude range than the other\n",
    "if 'orca2' in Model : list_lon = [ nemo.clo_lon(lonE.values[j_zero, i_zero], 100.0) ] \n",
    "\n",
    "# Initialize indexes and indicators\n",
    "# lastd is the last used direction\n",
    "j_p, i_p = j_zero, i_zero ; new=True ; lastd='None' \n",
    "\n",
    "n = 0\n",
    "while True :\n",
    "    n += 1\n",
    "    ## new == True if we start to circle a new land mass\n",
    "    if new : j_s, i_s = j_p, i_p\n",
    "    #print ( f'{n=:<5d} {j_p=:<4d} {i_p=:<4d} {lastd=:<5s} cote_total:{cote_total[j_p, i_p].values:<2d}', end=' ')\n",
    "\n",
    "    found=False ; new=False ; nextd = 'None' ;\n",
    "\n",
    "    # Always tries to turn right first, with respect to direction of previous move.\n",
    "    order = ['north', 'west', 'south', 'east'] # Active if last_d == None\n",
    "    if lastd == 'west'  : order = ['north', 'west' , 'south', 'east' ]\n",
    "    if lastd == 'east'  : order = ['south', 'east' , 'north', 'west' ]\n",
    "    if lastd == 'north' : order = ['east' , 'north', 'west' , 'south']\n",
    "    if lastd == 'south' : order = ['west' , 'south', 'east' , 'north']\n",
    "        \n",
    "    # Search the direction of the next point. We must not go backward\n",
    "    for direction in order :\n",
    "        if not found and cote_dir.sel (direction=direction) [j_p, i_p] : \n",
    "            found = True ; nextd=direction\n",
    "            j_n, i_n = next_p (j_p, i_p, direction)\n",
    "                     \n",
    "    #print ( f'nextd:{nextd:<6s} lon:{lonE[j_n, i_n].values:<5.1f} lat:{latE[j_n, i_n].values:<5.1f} list_land:{list_land[-1]:4<d}', end='') \n",
    "    \n",
    "    if found : \n",
    "        cote_dir.sel (direction=nextd)[j_p, i_p] = False\n",
    "        cote_dir = nemo.lbc (cote_dir, nperio=nperio, cd_type='F')\n",
    "        list_lon.append  ( lonE.values[j_n, i_n] )\n",
    "        list_lat.append  ( latE.values[j_n, i_n] )\n",
    "        list_idx.append  ( [j_n, i_n] )\n",
    "        list_j.append (j_p) ; list_i.append (j_p)\n",
    "        list_land.append ( i_land )\n",
    "        list_inner.append ( 0)\n",
    "        list_lon [-1] = nemo.clo_lon (list_lon[-1], list_lon[-2]) # Avoid too much jump across periodicity\n",
    "        j_p, i_p = j_n, i_n\n",
    "        lastd = nextd ; nextd='None' ; new=False\n",
    "        #print ( f' list_land:{list_land[-1]:<4d}' )\n",
    "\n",
    "    else : # We have circled around the land mass. Let jump to a new one\n",
    "        # Insert a dummy point to break the line\n",
    "        list_lon.append (np.nan)\n",
    "        list_lat.append (np.nan)\n",
    "        list_idx.append ( [-99, -99] )\n",
    "        list_j.append (-99) ; list_i.append (-99)\n",
    "        list_land.append (0)\n",
    "        list_inner.append (0)\n",
    "       \n",
    "        cote_total = cote_dir.sum (dim='direction')\n",
    "        # Search if non addressed coastal points still exists\n",
    "        nn = np.where (cote_total>=1)\n",
    "        if len (nn[0]) == 0 :\n",
    "            print ()\n",
    "            print ('All points processed')\n",
    "          \n",
    "            break\n",
    "        else :\n",
    "            # Takes the first non-addressed coastal point\n",
    "            #print ()\n",
    "            new=True  # Starting a new land mass\n",
    "            lastd='None'\n",
    "            # Take the first point in nn. Put it back in the 'inner' ORCA domain\n",
    "            # (not at the periodicity or north pole folding).\n",
    "            j_p, i_p = nemo.lbc_index (nn[0][0], nn[1][0], jpj, jpi, nperio, 'F')\n",
    "            print ( f'New start {n=:<5d} {j_p=:<4d} {i_p=:<4d} cote_total:{cote_total[j_p, i_p].values} cote_dir:{cote_dir[:, j_p, i_p].values} liste_land:{list_land[-2]}' )\n",
    "            i_land += 1\n",
    "            list_lon.append  ( nemo.clo_lon (lonE.values[j_p, i_p], 0.) )\n",
    "            list_lat.append  ( latE.values[j_p, i_p] )\n",
    "            list_idx.append ([j_p, i_p])\n",
    "            list_j.append (j_p) ; list_i.append (j_p)\n",
    "            list_land.append (i_land)\n",
    "            list_inner.append (0)\n",
    "        \n",
    "print ( f'Length : {len(list_lon)} - Land masses : {i_land}' )\n",
    "\n",
    "list_lon    = np.transpose (np.array(list_lon))\n",
    "list_lat    = np.transpose (np.array(list_lat))\n",
    "list_idx    = np.transpose (np.array(list_idx))\n",
    "list_j      = np.array (list_j) ; list_i = np.array ( list_i )\n",
    "list_land   = np.array (list_land)\n",
    "list_inner  = np.array (list_inner)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4744de6a-a9ef-47c5-a10c-18321fe198a0",
   "metadata": {},
   "source": [
    "## Find inland water bodies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8b8c8681-fcd5-4a02-8982-92231b377c2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "n_m=1    lon mean: -12.5  lat mean : -71.5    indic=False\n",
      "n_m=2    lon mean: 169.7  lat mean : -73.5    indic=False\n",
      "n_m=3    lon mean: -104.8 lat mean : -73.1    indic=False\n",
      "n_m=4    lon mean: -90.5  lat mean : -68.9    indic=False\n",
      "n_m=5    lon mean: 164.7  lat mean : -67.4    indic=False\n",
      "n_m=6    lon mean: 163.2  lat mean : -66.8    indic=False\n",
      "n_m=7    lon mean: 48.5   lat mean : -66.7    indic=False\n",
      "n_m=8    lon mean: 162.5  lat mean : -66.4    indic=False\n",
      "n_m=9    lon mean: -66.0  lat mean : -65.8    indic=False\n",
      "n_m=10   lon mean: -65.8  lat mean : -65.6    indic=False\n",
      "n_m=11   lon mean: 103.0  lat mean : -65.2    indic=False\n",
      "n_m=12   lon mean: -63.5  lat mean : -64.6    indic=False\n",
      "n_m=13   lon mean: -62.4  lat mean : -64.3    indic=False\n",
      "n_m=14   lon mean: -57.8  lat mean : -64.1    indic=False\n",
      "n_m=15   lon mean: -55.9  lat mean : -63.3    indic=False\n",
      "n_m=16   lon mean: -56.5  lat mean : -63.1    indic=False\n",
      "n_m=17   lon mean: -62.5  lat mean : -63.0    indic=False\n",
      "n_m=18   lon mean: -60.2  lat mean : -62.7    indic=False\n",
      "n_m=19   lon mean: -60.8  lat mean : -62.6    indic=False\n",
      "n_m=20   lon mean: -59.5  lat mean : -62.4    indic=False\n",
      "n_m=21   lon mean: -58.5  lat mean : -62.1    indic=False\n",
      "n_m=22   lon mean: -55.2  lat mean : -61.2    indic=False\n",
      "n_m=23   lon mean: -45.5  lat mean : -60.7    indic=False\n",
      "n_m=24   lon mean: -67.3  lat mean : -55.8    indic=False\n",
      "n_m=25   lon mean: -68.0  lat mean : -55.6    indic=False\n",
      "n_m=26   lon mean: -94.7  lat mean : 33.5     indic=False\n",
      "n_m=27   lon mean: -64.3  lat mean : -54.8    indic=False\n",
      "n_m=28   lon mean: -36.7  lat mean : -54.4    indic=False\n",
      "n_m=29   lon mean: 73.5   lat mean : -53.2    indic=False\n",
      "n_m=30   lon mean: -74.3  lat mean : -53.0    indic=False\n",
      "n_m=31   lon mean: -59.4  lat mean : -51.8    indic=False\n",
      "n_m=32   lon mean: 166.0  lat mean : -50.8    indic=False\n",
      "n_m=33   lon mean: -75.3  lat mean : -50.4    indic=False\n",
      "n_m=34   lon mean: 69.6   lat mean : -49.3    indic=False\n",
      "n_m=35   lon mean: 167.8  lat mean : -47.0    indic=False\n",
      "n_m=36   lon mean: 170.6  lat mean : -43.9    indic=False\n",
      "n_m=37   lon mean: -176.5 lat mean : -43.9    indic=False\n",
      "n_m=38   lon mean: 146.5  lat mean : -42.0    indic=False\n",
      "n_m=39   lon mean: 175.3  lat mean : -38.0    indic=False\n",
      "n_m=40   lon mean: 148.1  lat mean : -40.1    indic=False\n",
      "n_m=41   lon mean: 144.0  lat mean : -39.9    indic=False\n",
      "n_m=42   lon mean: 134.0  lat mean : -25.0    indic=False\n",
      "n_m=43   lon mean: 137.1  lat mean : -35.8    indic=False\n",
      "n_m=44   lon mean: 65.2   lat mean : 38.6     indic=False\n",
      "n_m=45   lon mean: 47.0   lat mean : -18.8    indic=False\n",
      "n_m=46   lon mean: 165.7  lat mean : -21.7    indic=False\n",
      "n_m=47   lon mean: 168.0  lat mean : -21.5    indic=False\n",
      "n_m=48   lon mean: 55.6   lat mean : -21.2    indic=False\n",
      "n_m=49   lon mean: 167.2  lat mean : -21.0    indic=False\n",
      "n_m=50   lon mean: 166.5  lat mean : -20.6    indic=False\n",
      "n_m=51   lon mean: 57.6   lat mean : -20.2    indic=False\n",
      "n_m=52   lon mean: 169.5  lat mean : -19.6    indic=False\n",
      "n_m=53   lon mean: 169.1  lat mean : -18.8    indic=False\n",
      "n_m=54   lon mean: 178.3  lat mean : -18.9    indic=False\n",
      "n_m=55   lon mean: 177.9  lat mean : -17.9    indic=False\n",
      "n_m=56   lon mean: -178.5 lat mean : -18.2    indic=False\n",
      "n_m=57   lon mean: -142.3 lat mean : -18.0    indic=False\n",
      "n_m=58   lon mean: 168.3  lat mean : -17.7    indic=False\n",
      "n_m=59   lon mean: -149.4 lat mean : -17.7    indic=False\n",
      "n_m=60   lon mean: -178.8 lat mean : -17.3    indic=False\n",
      "n_m=61   lon mean: -144.8 lat mean : -17.0    indic=False\n",
      "n_m=62   lon mean: -143.3 lat mean : -17.0    indic=False\n",
      "n_m=63   lon mean: 168.2  lat mean : -16.8    indic=False\n",
      "n_m=64   lon mean: 179.2  lat mean : -16.6    indic=False\n",
      "n_m=65   lon mean: 180.1  lat mean : -16.8    indic=False\n",
      "n_m=66   lon mean: -151.5 lat mean : -16.8    indic=False\n",
      "n_m=67   lon mean: 167.5  lat mean : -16.3    indic=False\n",
      "n_m=68   lon mean: -143.9 lat mean : -16.5    indic=False\n",
      "n_m=69   lon mean: 168.2  lat mean : -16.3    indic=False\n",
      "n_m=70   lon mean: -145.7 lat mean : -16.3    indic=False\n",
      "n_m=71   lon mean: -144.8 lat mean : -16.3    indic=False\n",
      "n_m=72   lon mean: -143.3 lat mean : -16.3    indic=False\n",
      "n_m=73   lon mean: -142.5 lat mean : -16.1    indic=False\n",
      "n_m=74   lon mean: -146.8 lat mean : -15.8    indic=False\n",
      "n_m=75   lon mean: -146.1 lat mean : -15.7    indic=False\n",
      "n_m=76   lon mean: -145.3 lat mean : -15.8    indic=False\n",
      "n_m=77   lon mean: 166.7  lat mean : -15.1    indic=False\n",
      "n_m=78   lon mean: -147.6 lat mean : -15.2    indic=False\n",
      "n_m=79   lon mean: -146.8 lat mean : -15.3    indic=False\n",
      "n_m=80   lon mean: -148.3 lat mean : -15.1    indic=False\n",
      "n_m=81   lon mean: -146.0 lat mean : -14.4    indic=False\n",
      "n_m=82   lon mean: -145.0 lat mean : -14.4    indic=False\n",
      "n_m=83   lon mean: 136.6  lat mean : -14.0    indic=False\n",
      "n_m=84   lon mean: 167.5  lat mean : -13.9    indic=False\n",
      "n_m=85   lon mean: -172.1 lat mean : -13.8    indic=False\n",
      "n_m=86   lon mean: 45.2   lat mean : -12.9    indic=False\n",
      "n_m=87   lon mean: 43.7   lat mean : -12.4    indic=False\n",
      "n_m=88   lon mean: 44.5   lat mean : -12.2    indic=False\n",
      "n_m=89   lon mean: 130.7  lat mean : -11.6    indic=False\n",
      "n_m=90   lon mean: 160.2  lat mean : -11.7    indic=False\n",
      "n_m=91   lon mean: 43.2   lat mean : -11.6    indic=False\n",
      "n_m=92   lon mean: 153.3  lat mean : -11.4    indic=False\n",
      "n_m=93   lon mean: 121.8  lat mean : -10.7    indic=False\n",
      "n_m=94   lon mean: 123.1  lat mean : -10.7    indic=False\n",
      "n_m=95   lon mean: 161.9  lat mean : -10.6    indic=False\n",
      "n_m=96   lon mean: 166.0  lat mean : -10.7    indic=False\n",
      "n_m=97   lon mean: 140.4  lat mean : -5.4     indic=False\n",
      "n_m=98   lon mean: 119.9  lat mean : -9.8     indic=False\n",
      "n_m=99   lon mean: 125.2  lat mean : -9.2     indic=False\n",
      "n_m=100  lon mean: 142.2  lat mean : -10.2    indic=False\n",
      "n_m=101  lon mean: 151.2  lat mean : -10.0    indic=False\n",
      "n_m=102  lon mean: 142.2  lat mean : -9.7     indic=False\n",
      "n_m=103  lon mean: 160.1  lat mean : -9.6     indic=False\n",
      "n_m=104  lon mean: 161.1  lat mean : -9.2     indic=False\n",
      "n_m=105  lon mean: 150.6  lat mean : -9.5     indic=False\n",
      "n_m=106  lon mean: 46.2   lat mean : -9.5     indic=False\n",
      "n_m=107  lon mean: 51.0   lat mean : -9.5     indic=False\n",
      "n_m=108  lon mean: 152.7  lat mean : -9.0     indic=False\n",
      "n_m=109  lon mean: 120.4  lat mean : -8.5     indic=False\n",
      "n_m=110  lon mean: 157.8  lat mean : -8.5     indic=False\n",
      "n_m=111  lon mean: 150.2  lat mean : -8.5     indic=False\n",
      "n_m=112  lon mean: 159.3  lat mean : -8.1     indic=False\n",
      "n_m=113  lon mean: 126.0  lat mean : -7.9     indic=False\n",
      "n_m=114  lon mean: 127.8  lat mean : -8.2     indic=False\n",
      "n_m=115  lon mean: 129.7  lat mean : -8.0     indic=False\n",
      "n_m=116  lon mean: 131.4  lat mean : -7.6     indic=False\n",
      "n_m=117  lon mean: 157.0  lat mean : -8.0     indic=False\n",
      "n_m=118  lon mean: 39.7   lat mean : -8.0     indic=False\n",
      "n_m=119  lon mean: 156.5  lat mean : -7.8     indic=False\n",
      "n_m=120  lon mean: 156.9  lat mean : -7.0     indic=False\n",
      "n_m=121  lon mean: 115.5  lat mean : -7.0     indic=False\n",
      "n_m=122  lon mean: 134.4  lat mean : -6.2     indic=False\n",
      "n_m=123  lon mean: 155.2  lat mean : -6.1     indic=False\n",
      "n_m=124  lon mean: 120.5  lat mean : -6.3     indic=False\n",
      "n_m=125  lon mean: 151.2  lat mean : -4.5     indic=False\n",
      "n_m=126  lon mean: 39.3   lat mean : -6.2     indic=False\n",
      "n_m=127  lon mean: 148.0  lat mean : -5.8     indic=False\n",
      "n_m=128  lon mean: 102.2  lat mean : -5.5     indic=False\n",
      "n_m=129  lon mean: 121.6  lat mean : -1.8     indic=False\n",
      "n_m=130  lon mean: 159.5  lat mean : -5.4     indic=False\n",
      "n_m=131  lon mean: 122.0  lat mean : -5.3     indic=False\n",
      "n_m=132  lon mean: 39.7   lat mean : -5.2     indic=False\n",
      "n_m=133  lon mean: 114.7  lat mean : 1.2      indic=False\n",
      "n_m=134  lon mean: 126.6  lat mean : -3.5     indic=False\n",
      "n_m=135  lon mean: 129.5  lat mean : -3.3     indic=False\n",
      "n_m=136  lon mean: 100.4  lat mean : -3.1     indic=False\n",
      "n_m=137  lon mean: 107.8  lat mean : -2.8     indic=False\n",
      "n_m=138  lon mean: 32.9   lat mean : -1.3     indic=True\n",
      "n_m=139  lon mean: 99.7   lat mean : -2.3     indic=False\n",
      "n_m=140  lon mean: 130.1  lat mean : -1.9     indic=False\n",
      "n_m=141  lon mean: 147.0  lat mean : -2.0     indic=False\n",
      "n_m=142  lon mean: 99.0   lat mean : -1.4     indic=False\n",
      "n_m=143  lon mean: 125.1  lat mean : -1.8     indic=False\n",
      "n_m=144  lon mean: 136.2  lat mean : -1.8     indic=False\n",
      "n_m=145  lon mean: 123.1  lat mean : -1.5     indic=False\n",
      "n_m=146  lon mean: 127.6  lat mean : -1.5     indic=False\n",
      "n_m=147  lon mean: -90.5  lat mean : -1.3     indic=False\n",
      "n_m=148  lon mean: 135.8  lat mean : -0.9     indic=False\n",
      "n_m=149  lon mean: -91.2  lat mean : -0.5     indic=False\n",
      "n_m=150  lon mean: 127.9  lat mean : 0.5      indic=False\n",
      "n_m=151  lon mean: -90.3  lat mean : -0.7     indic=False\n",
      "n_m=152  lon mean: -89.4  lat mean : -0.8     indic=False\n",
      "n_m=153  lon mean: 104.6  lat mean : -0.3     indic=False\n",
      "n_m=154  lon mean: 98.5   lat mean : -0.3     indic=False\n",
      "n_m=155  lon mean: 130.8  lat mean : -0.3     indic=False\n",
      "n_m=156  lon mean: 6.5    lat mean : 0.2      indic=False\n",
      "n_m=157  lon mean: 97.5   lat mean : 1.0      indic=False\n",
      "n_m=158  lon mean: 104.5  lat mean : 1.0      indic=False\n",
      "n_m=159  lon mean: 173.0  lat mean : 1.0      indic=False\n",
      "n_m=160  lon mean: 173.0  lat mean : 1.6      indic=False\n",
      "n_m=161  lon mean: 128.5  lat mean : 2.3      indic=False\n",
      "n_m=162  lon mean: 96.1   lat mean : 2.6      indic=False\n",
      "n_m=163  lon mean: 106.2  lat mean : 3.2      indic=False\n",
      "n_m=164  lon mean: 8.6    lat mean : 3.3      indic=False\n",
      "n_m=165  lon mean: 125.5  lat mean : 3.5      indic=False\n",
      "n_m=166  lon mean: 108.2  lat mean : 3.8      indic=False\n",
      "n_m=167  lon mean: 126.8  lat mean : 4.2      indic=False\n",
      "n_m=168  lon mean: 126.8  lat mean : 5.5      indic=False\n",
      "n_m=169  lon mean: 120.1  lat mean : 5.2      indic=False\n",
      "n_m=170  lon mean: 124.7  lat mean : 7.7      indic=False\n",
      "n_m=171  lon mean: 153.5  lat mean : 5.5      indic=False\n",
      "n_m=172  lon mean: 80.7   lat mean : 7.8      indic=False\n",
      "n_m=173  lon mean: 121.1  lat mean : 6.0      indic=False\n",
      "n_m=174  lon mean: 169.5  lat mean : 6.1      indic=False\n",
      "n_m=175  lon mean: 122.0  lat mean : 6.5      indic=False\n",
      "n_m=176  lon mean: 93.7   lat mean : 7.1      indic=False\n",
      "n_m=177  lon mean: 158.2  lat mean : 7.0      indic=False\n",
      "n_m=178  lon mean: 171.7  lat mean : 7.0      indic=False\n",
      "n_m=179  lon mean: 117.2  lat mean : 7.2      indic=False\n",
      "n_m=180  lon mean: 134.4  lat mean : 7.5      indic=False\n",
      "n_m=181  lon mean: 151.7  lat mean : 7.3      indic=False\n",
      "n_m=182  lon mean: 171.2  lat mean : 7.2      indic=False\n",
      "n_m=183  lon mean: 144.7  lat mean : 7.5      indic=False\n",
      "n_m=184  lon mean: 155.2  lat mean : 7.5      indic=False\n",
      "n_m=185  lon mean: 168.8  lat mean : 7.5      indic=False\n",
      "n_m=186  lon mean: 93.5   lat mean : 7.9      indic=False\n",
      "n_m=187  lon mean: 118.4  lat mean : 9.5      indic=False\n",
      "n_m=188  lon mean: 168.2  lat mean : 7.9      indic=False\n",
      "n_m=189  lon mean: 171.0  lat mean : 8.2      indic=False\n",
      "n_m=190  lon mean: 137.5  lat mean : 8.4      indic=False\n",
      "n_m=191  lon mean: 150.0  lat mean : 8.8      indic=False\n",
      "n_m=192  lon mean: 171.1  lat mean : 8.7      indic=False\n",
      "n_m=193  lon mean: 165.7  lat mean : 8.9      indic=False\n",
      "n_m=194  lon mean: 167.5  lat mean : 9.1      indic=False\n",
      "n_m=195  lon mean: 122.9  lat mean : 10.6     indic=False\n",
      "n_m=196  lon mean: 170.0  lat mean : 9.3      indic=False\n",
      "n_m=197  lon mean: 124.2  lat mean : 9.8      indic=False\n",
      "n_m=198  lon mean: 139.7  lat mean : 9.9      indic=False\n",
      "n_m=199  lon mean: 169.2  lat mean : 9.9      indic=False\n",
      "n_m=200  lon mean: 122.5  lat mean : 14.2     indic=False\n",
      "n_m=201  lon mean: 170.0  lat mean : 10.2     indic=False\n",
      "n_m=202  lon mean: -61.2  lat mean : 10.4     indic=False\n",
      "n_m=203  lon mean: 92.5   lat mean : 10.7     indic=False\n",
      "n_m=204  lon mean: -65.3  lat mean : 10.9     indic=False\n",
      "n_m=205  lon mean: -64.2  lat mean : 10.9     indic=False\n",
      "n_m=206  lon mean: 166.8  lat mean : 11.3     indic=False\n",
      "n_m=207  lon mean: 169.7  lat mean : 11.2     indic=False\n",
      "n_m=208  lon mean: -60.8  lat mean : 11.2     indic=False\n",
      "n_m=209  lon mean: 162.2  lat mean : 11.5     indic=False\n",
      "n_m=210  lon mean: 167.5  lat mean : 11.4     indic=False\n",
      "n_m=211  lon mean: 92.8   lat mean : 12.5     indic=False\n",
      "n_m=212  lon mean: 165.3  lat mean : 11.7     indic=False\n",
      "n_m=213  lon mean: 120.1  lat mean : 12.0     indic=False\n",
      "n_m=214  lon mean: 123.5  lat mean : 12.1     indic=False\n",
      "n_m=215  lon mean: -66.8  lat mean : 11.9     indic=False\n",
      "n_m=216  lon mean: -69.0  lat mean : 12.1     indic=False\n",
      "n_m=217  lon mean: -68.3  lat mean : 12.1     indic=False\n",
      "n_m=218  lon mean: -61.8  lat mean : 12.1     indic=False\n",
      "n_m=219  lon mean: 122.5  lat mean : 12.4     indic=False\n",
      "n_m=220  lon mean: 53.8   lat mean : 12.4     indic=False\n",
      "n_m=221  lon mean: -70.0  lat mean : 12.6     indic=False\n",
      "n_m=222  lon mean: -61.3  lat mean : 13.1     indic=False\n",
      "n_m=223  lon mean: -59.5  lat mean : 13.1     indic=False\n",
      "n_m=224  lon mean: 144.7  lat mean : 13.4     indic=False\n",
      "n_m=225  lon mean: 124.2  lat mean : 13.7     indic=False\n",
      "n_m=226  lon mean: -61.0  lat mean : 13.8     indic=False\n",
      "n_m=227  lon mean: -61.0  lat mean : 14.7     indic=False\n",
      "n_m=228  lon mean: 122.0  lat mean : 14.8     indic=False\n",
      "n_m=229  lon mean: -24.5  lat mean : 14.8     indic=False\n",
      "n_m=230  lon mean: 145.7  lat mean : 15.0     indic=False\n",
      "n_m=231  lon mean: -23.7  lat mean : 15.1     indic=False\n",
      "n_m=232  lon mean: -61.3  lat mean : 15.5     indic=False\n",
      "n_m=233  lon mean: 40.0   lat mean : 15.8     indic=False\n",
      "n_m=234  lon mean: -61.7  lat mean : 16.2     indic=False\n",
      "n_m=235  lon mean: -22.8  lat mean : 16.0     indic=False\n",
      "n_m=236  lon mean: 41.7   lat mean : 16.6     indic=False\n",
      "n_m=237  lon mean: 111.7  lat mean : 16.5     indic=False\n",
      "n_m=238  lon mean: -87.8  lat mean : 16.7     indic=False\n",
      "n_m=239  lon mean: -61.8  lat mean : 17.0     indic=False\n",
      "n_m=240  lon mean: -25.3  lat mean : 17.0     indic=False\n",
      "n_m=241  lon mean: -62.8  lat mean : 17.2     indic=False\n",
      "n_m=242  lon mean: -71.5  lat mean : 18.8     indic=False\n",
      "n_m=243  lon mean: -64.8  lat mean : 17.7     indic=False\n",
      "n_m=244  lon mean: -61.8  lat mean : 17.7     indic=False\n",
      "n_m=245  lon mean: -77.4  lat mean : 18.2     indic=False\n",
      "n_m=246  lon mean: -66.5  lat mean : 18.2     indic=False\n",
      "n_m=247  lon mean: -63.0  lat mean : 18.2     indic=False\n",
      "n_m=248  lon mean: -64.7  lat mean : 18.4     indic=False\n",
      "n_m=249  lon mean: -87.3  lat mean : 18.6     indic=False\n",
      "n_m=250  lon mean: -73.3  lat mean : 18.9     indic=False\n",
      "n_m=251  lon mean: 121.5  lat mean : 19.1     indic=False\n",
      "n_m=252  lon mean: -155.5 lat mean : 19.6     indic=False\n",
      "n_m=253  lon mean: -81.3  lat mean : 19.3     indic=False\n",
      "n_m=254  lon mean: -79.4  lat mean : 21.6     indic=False\n",
      "n_m=255  lon mean: -156.4 lat mean : 20.8     indic=False\n",
      "n_m=256  lon mean: -157.0 lat mean : 21.0     indic=False\n",
      "n_m=257  lon mean: -73.4  lat mean : 21.0     indic=False\n",
      "n_m=258  lon mean: -158.0 lat mean : 21.5     indic=False\n",
      "n_m=259  lon mean: -82.9  lat mean : 21.6     indic=False\n",
      "n_m=260  lon mean: -71.5  lat mean : 21.7     indic=False\n",
      "n_m=261  lon mean: 121.0  lat mean : 23.6     indic=False\n",
      "n_m=262  lon mean: -159.5 lat mean : 22.0     indic=False\n",
      "n_m=263  lon mean: -73.0  lat mean : 22.4     indic=False\n",
      "n_m=264  lon mean: -74.0  lat mean : 22.6     indic=False\n",
      "n_m=265  lon mean: -75.0  lat mean : 23.1     indic=False\n",
      "n_m=266  lon mean: -76.0  lat mean : 23.5     indic=False\n",
      "n_m=267  lon mean: -77.9  lat mean : 24.4     indic=False\n",
      "n_m=268  lon mean: 123.7  lat mean : 24.2     indic=False\n",
      "n_m=269  lon mean: -75.3  lat mean : 24.2     indic=False\n",
      "n_m=270  lon mean: 124.2  lat mean : 24.4     indic=False\n",
      "n_m=271  lon mean: 125.2  lat mean : 24.7     indic=False\n",
      "n_m=272  lon mean: -81.5  lat mean : 24.7     indic=False\n",
      "n_m=273  lon mean: -77.3  lat mean : 25.1     indic=False\n",
      "n_m=274  lon mean: -76.3  lat mean : 25.1     indic=False\n",
      "n_m=275  lon mean: -77.2  lat mean : 26.2     indic=False\n",
      "n_m=276  lon mean: 50.5   lat mean : 26.0     indic=False\n",
      "n_m=277  lon mean: 127.9  lat mean : 26.5     indic=False\n",
      "n_m=278  lon mean: -78.4  lat mean : 26.7     indic=False\n",
      "n_m=279  lon mean: -77.5  lat mean : 26.9     indic=False\n",
      "n_m=280  lon mean: -18.0  lat mean : 27.8     indic=False\n",
      "n_m=281  lon mean: -15.7  lat mean : 27.9     indic=False\n",
      "n_m=282  lon mean: -17.3  lat mean : 28.0     indic=False\n",
      "n_m=283  lon mean: -16.5  lat mean : 28.3     indic=False\n",
      "n_m=284  lon mean: -13.9  lat mean : 28.6     indic=False\n",
      "n_m=285  lon mean: 129.3  lat mean : 28.3     indic=False\n",
      "n_m=286  lon mean: -115.3 lat mean : 28.2     indic=False\n",
      "n_m=287  lon mean: -17.9  lat mean : 28.7     indic=False\n",
      "n_m=288  lon mean: -118.3 lat mean : 29.0     indic=False\n",
      "n_m=289  lon mean: -113.3 lat mean : 29.3     indic=False\n",
      "n_m=290  lon mean: 130.5  lat mean : 30.3     indic=False\n",
      "n_m=291  lon mean: 131.0  lat mean : 30.5     indic=False\n",
      "n_m=292  lon mean: 136.2  lat mean : 35.8     indic=False\n",
      "n_m=293  lon mean: -17.1  lat mean : 32.8     indic=False\n",
      "n_m=294  lon mean: 128.7  lat mean : 32.8     indic=False\n",
      "n_m=295  lon mean: 133.5  lat mean : 33.6     indic=False\n",
      "n_m=296  lon mean: 126.4  lat mean : 33.3     indic=False\n",
      "n_m=297  lon mean: -120.0 lat mean : 33.9     indic=False\n",
      "n_m=298  lon mean: 129.4  lat mean : 34.4     indic=False\n",
      "n_m=299  lon mean: 33.3   lat mean : 35.1     indic=False\n",
      "n_m=300  lon mean: 24.8   lat mean : 35.2     indic=False\n",
      "n_m=301  lon mean: 27.1   lat mean : 35.5     indic=False\n",
      "n_m=302  lon mean: 14.3   lat mean : 35.9     indic=False\n",
      "n_m=303  lon mean: 133.4  lat mean : 36.3     indic=False\n",
      "n_m=304  lon mean: 28.0   lat mean : 36.2     indic=False\n",
      "n_m=305  lon mean: 23.1   lat mean : 36.3     indic=False\n",
      "n_m=306  lon mean: 27.6   lat mean : 36.7     indic=False\n",
      "n_m=307  lon mean: -25.5  lat mean : 37.8     indic=False\n",
      "n_m=308  lon mean: 25.2   lat mean : 37.1     indic=False\n",
      "n_m=309  lon mean: 51.1   lat mean : 42.5     indic=True\n",
      "n_m=310  lon mean: 138.3  lat mean : 38.2     indic=False\n",
      "n_m=311  lon mean: -28.5  lat mean : 38.6     indic=False\n",
      "n_m=312  lon mean: 20.7   lat mean : 37.8     indic=False\n",
      "n_m=313  lon mean: 25.1   lat mean : 37.7     indic=False\n",
      "n_m=314  lon mean: 26.2   lat mean : 37.6     indic=False\n",
      "n_m=315  lon mean: -27.3  lat mean : 38.8     indic=False\n",
      "n_m=316  lon mean: 26.7   lat mean : 37.7     indic=False\n",
      "n_m=317  lon mean: 20.6   lat mean : 38.2     indic=False\n",
      "n_m=318  lon mean: -31.3  lat mean : 39.4     indic=False\n",
      "n_m=319  lon mean: 1.4    lat mean : 39.0     indic=False\n",
      "n_m=320  lon mean: 26.0   lat mean : 38.4     indic=False\n",
      "n_m=321  lon mean: 9.0    lat mean : 40.1     indic=False\n",
      "n_m=322  lon mean: 2.9    lat mean : 39.6     indic=False\n",
      "n_m=323  lon mean: 24.5   lat mean : 38.8     indic=False\n",
      "n_m=324  lon mean: 4.1    lat mean : 39.9     indic=False\n",
      "n_m=325  lon mean: 25.0   lat mean : 40.0     indic=False\n",
      "n_m=326  lon mean: 25.8   lat mean : 40.1     indic=False\n",
      "n_m=327  lon mean: 25.6   lat mean : 40.4     indic=False\n",
      "n_m=328  lon mean: 24.6   lat mean : 40.6     indic=False\n",
      "n_m=329  lon mean: 142.3  lat mean : 43.2     indic=False\n",
      "n_m=330  lon mean: 9.1    lat mean : 42.2     indic=False\n",
      "n_m=331  lon mean: -81.3  lat mean : 42.2     indic=True\n",
      "n_m=332  lon mean: -84.4  lat mean : 44.6     indic=True\n",
      "n_m=333  lon mean: 146.8  lat mean : 43.8     indic=False\n",
      "n_m=334  lon mean: 146.0  lat mean : 44.1     indic=False\n",
      "n_m=335  lon mean: -77.9  lat mean : 43.6     indic=True\n",
      "n_m=336  lon mean: 147.8  lat mean : 45.0     indic=False\n",
      "n_m=337  lon mean: 149.9  lat mean : 45.9     indic=False\n",
      "n_m=338  lon mean: 141.1  lat mean : 45.4     indic=False\n",
      "n_m=339  lon mean: 142.7  lat mean : 49.8     indic=False\n",
      "n_m=340  lon mean: -63.3  lat mean : 46.4     indic=False\n",
      "n_m=341  lon mean: 152.0  lat mean : 46.9     indic=False\n",
      "n_m=342  lon mean: -55.7  lat mean : 48.8     indic=False\n",
      "n_m=343  lon mean: -85.7  lat mean : 45.7     indic=False\n",
      "n_m=344  lon mean: 153.1  lat mean : 47.7     indic=False\n",
      "n_m=345  lon mean: -61.9  lat mean : 47.3     indic=False\n",
      "n_m=346  lon mean: -88.1  lat mean : 47.5     indic=True\n",
      "n_m=347  lon mean: 154.0  lat mean : 48.8     indic=False\n",
      "n_m=348  lon mean: 37.1   lat mean : 46.3     indic=True\n",
      "n_m=349  lon mean: 60.1   lat mean : 45.2     indic=True\n",
      "n_m=350  lon mean: 154.8  lat mean : 49.4     indic=False\n",
      "n_m=351  lon mean: -90.5  lat mean : 47.0     indic=False\n",
      "n_m=352  lon mean: -85.9  lat mean : 47.8     indic=False\n",
      "n_m=353  lon mean: -63.1  lat mean : 49.5     indic=False\n",
      "n_m=354  lon mean: 155.7  lat mean : 50.4     indic=False\n",
      "n_m=355  lon mean: -89.0  lat mean : 47.9     indic=False\n",
      "n_m=356  lon mean: -3.1   lat mean : 54.0     indic=False\n",
      "n_m=357  lon mean: 155.4  lat mean : 50.9     indic=False\n",
      "n_m=358  lon mean: 178.9  lat mean : 51.5     indic=False\n",
      "n_m=359  lon mean: -178.0 lat mean : 51.8     indic=False\n",
      "n_m=360  lon mean: -177.3 lat mean : 51.7     indic=False\n",
      "n_m=361  lon mean: 177.4  lat mean : 51.9     indic=False\n",
      "n_m=362  lon mean: 179.5  lat mean : 51.9     indic=False\n",
      "n_m=363  lon mean: -176.4 lat mean : 51.8     indic=False\n",
      "n_m=364  lon mean: -8.0   lat mean : 53.4     indic=False\n",
      "n_m=365  lon mean: -174.1 lat mean : 52.1     indic=False\n",
      "n_m=366  lon mean: 173.7  lat mean : 52.5     indic=False\n",
      "n_m=367  lon mean: -172.6 lat mean : 52.4     indic=False\n",
      "n_m=368  lon mean: 172.9  lat mean : 52.9     indic=False\n",
      "n_m=369  lon mean: -170.7 lat mean : 52.6     indic=False\n",
      "n_m=370  lon mean: -167.6 lat mean : 53.4     indic=False\n",
      "n_m=371  lon mean: 167.7  lat mean : 54.7     indic=False\n",
      "n_m=372  lon mean: 166.3  lat mean : 55.0     indic=False\n",
      "n_m=373  lon mean: -165.9 lat mean : 54.1     indic=False\n",
      "n_m=374  lon mean: -4.6   lat mean : 54.2     indic=False\n",
      "n_m=375  lon mean: -162.8 lat mean : 54.4     indic=False\n",
      "n_m=376  lon mean: -132.0 lat mean : 53.1     indic=False\n",
      "n_m=377  lon mean: -160.0 lat mean : 55.1     indic=False\n",
      "n_m=378  lon mean: -159.5 lat mean : 55.0     indic=False\n",
      "n_m=379  lon mean: -160.8 lat mean : 55.3     indic=False\n",
      "n_m=380  lon mean: 137.8  lat mean : 54.9     indic=False\n",
      "n_m=381  lon mean: -169.6 lat mean : 56.5     indic=False\n",
      "n_m=382  lon mean: 136.8  lat mean : 54.9     indic=False\n",
      "n_m=383  lon mean: -170.3 lat mean : 57.1     indic=False\n",
      "n_m=384  lon mean: -7.5   lat mean : 57.5     indic=False\n",
      "n_m=385  lon mean: -154.5 lat mean : 56.5     indic=False\n",
      "n_m=386  lon mean: -6.6   lat mean : 58.1     indic=False\n",
      "n_m=387  lon mean: 164.0  lat mean : 58.9     indic=False\n",
      "n_m=388  lon mean: -153.2 lat mean : 57.7     indic=False\n",
      "n_m=389  lon mean: 16.6   lat mean : 56.6     indic=False\n",
      "n_m=390  lon mean: -3.2   lat mean : 59.0     indic=False\n",
      "n_m=391  lon mean: -79.3  lat mean : 56.1     indic=False\n",
      "n_m=392  lon mean: -41.9  lat mean : 73.2     indic=False\n",
      "n_m=393  lon mean: -166.4 lat mean : 60.1     indic=False\n",
      "n_m=394  lon mean: 18.5   lat mean : 57.4     indic=False\n",
      "n_m=395  lon mean: -1.2   lat mean : 60.3     indic=False\n",
      "n_m=396  lon mean: -79.6  lat mean : 56.7     indic=False\n",
      "n_m=397  lon mean: -79.9  lat mean : 56.8     indic=False\n",
      "n_m=398  lon mean: -6.9   lat mean : 61.5     indic=False\n",
      "n_m=399  lon mean: -79.7  lat mean : 57.5     indic=False\n",
      "n_m=400  lon mean: -7.0   lat mean : 62.2     indic=False\n",
      "n_m=401  lon mean: -147.5 lat mean : 60.0     indic=False\n",
      "n_m=402  lon mean: -19.6  lat mean : 65.1     indic=False\n",
      "n_m=403  lon mean: -170.4 lat mean : 63.4     indic=False\n",
      "n_m=404  lon mean: -146.5 lat mean : 60.4     indic=False\n",
      "n_m=405  lon mean: -68.1  lat mean : 60.4     indic=False\n",
      "n_m=406  lon mean: -65.0  lat mean : 61.6     indic=False\n",
      "n_m=407  lon mean: 19.9   lat mean : 60.2     indic=False\n",
      "n_m=408  lon mean: -65.8  lat mean : 61.8     indic=False\n",
      "n_m=409  lon mean: -75.1  lat mean : 68.3     indic=False\n",
      "n_m=410  lon mean: -80.2  lat mean : 59.7     indic=False\n",
      "n_m=411  lon mean: -74.2  lat mean : 62.6     indic=False\n",
      "n_m=412  lon mean: -79.8  lat mean : 62.0     indic=False\n",
      "n_m=413  lon mean: -78.0  lat mean : 63.3     indic=False\n",
      "n_m=414  lon mean: -77.0  lat mean : 63.5     indic=False\n",
      "n_m=415  lon mean: -82.9  lat mean : 62.6     indic=False\n",
      "n_m=416  lon mean: -77.7  lat mean : 64.0     indic=False\n",
      "n_m=417  lon mean: -84.2  lat mean : 64.3     indic=False\n",
      "n_m=418  lon mean: 180.3  lat mean : 71.2     indic=False\n",
      "n_m=419  lon mean: -53.6  lat mean : 69.8     indic=False\n",
      "n_m=420  lon mean: -8.4   lat mean : 71.0     indic=False\n",
      "n_m=421  lon mean: -55.1  lat mean : 70.4     indic=False\n",
      "n_m=422  lon mean: -53.6  lat mean : 71.1     indic=False\n",
      "n_m=423  lon mean: -74.1  lat mean : 67.9     indic=False\n",
      "n_m=424  lon mean: -76.2  lat mean : 67.8     indic=False\n",
      "n_m=425  lon mean: 141.8  lat mean : 73.5     indic=False\n",
      "n_m=426  lon mean: -18.3  lat mean : 75.2     indic=False\n",
      "n_m=427  lon mean: 140.6  lat mean : 74.1     indic=False\n",
      "n_m=428  lon mean: 148.4  lat mean : 75.1     indic=False\n",
      "n_m=429  lon mean: -79.1  lat mean : 68.2     indic=False\n",
      "n_m=430  lon mean: -78.6  lat mean : 68.6     indic=False\n",
      "n_m=431  lon mean: -77.1  lat mean : 69.3     indic=False\n",
      "n_m=432  lon mean: 135.9  lat mean : 74.1     indic=False\n",
      "n_m=433  lon mean: 140.7  lat mean : 75.4     indic=False\n",
      "n_m=434  lon mean: -78.8  lat mean : 69.1     indic=False\n",
      "n_m=435  lon mean: -18.9  lat mean : 76.4     indic=False\n",
      "n_m=436  lon mean: -78.3  lat mean : 69.6     indic=False\n",
      "n_m=437  lon mean: -80.0  lat mean : 69.6     indic=False\n",
      "n_m=438  lon mean: 135.8  lat mean : 75.5     indic=False\n",
      "n_m=439  lon mean: 148.7  lat mean : 76.7     indic=False\n",
      "n_m=440  lon mean: -18.1  lat mean : 77.8     indic=False\n",
      "n_m=441  lon mean: -19.1  lat mean : 78.3     indic=False\n",
      "n_m=442  lon mean: -18.5  lat mean : 78.6     indic=False\n",
      "n_m=443  lon mean: -78.6  lat mean : 73.2     indic=False\n",
      "n_m=444  lon mean: -17.7  lat mean : 79.1     indic=False\n",
      "n_m=445  lon mean: 18.8   lat mean : 78.6     indic=False\n",
      "n_m=446  lon mean: -87.0  lat mean : 70.0     indic=False\n",
      "n_m=447  lon mean: 112.5  lat mean : 74.3     indic=False\n",
      "n_m=448  lon mean: 49.1   lat mean : 69.1     indic=False\n",
      "n_m=449  lon mean: -91.5  lat mean : 69.8     indic=False\n",
      "n_m=450  lon mean: -88.5  lat mean : 75.6     indic=False\n",
      "n_m=451  lon mean: -70.9  lat mean : 77.4     indic=False\n",
      "n_m=452  lon mean: -72.1  lat mean : 77.4     indic=False\n",
      "n_m=453  lon mean: -121.3 lat mean : 73.0     indic=False\n",
      "n_m=454  lon mean: -20.3  lat mean : 82.0     indic=False\n",
      "n_m=455  lon mean: -79.3  lat mean : 75.9     indic=False\n",
      "n_m=456  lon mean: -79.9  lat mean : 79.5     indic=False\n",
      "n_m=457  lon mean: -97.3  lat mean : 69.1     indic=False\n",
      "n_m=458  lon mean: -95.6  lat mean : 69.4     indic=False\n",
      "n_m=459  lon mean: 58.4   lat mean : 73.9     indic=False\n",
      "n_m=460  lon mean: 106.9  lat mean : 78.2     indic=False\n",
      "n_m=461  lon mean: -48.3  lat mean : 82.8     indic=False\n",
      "n_m=462  lon mean: -110.0 lat mean : 70.8     indic=False\n",
      "n_m=463  lon mean: 102.4  lat mean : 78.6     indic=False\n",
      "n_m=464  lon mean: -97.4  lat mean : 69.9     indic=False\n",
      "n_m=465  lon mean: -100.2 lat mean : 68.3     indic=False\n",
      "n_m=466  lon mean: 96.2   lat mean : 77.1     indic=False\n",
      "n_m=467  lon mean: -99.4  lat mean : 72.7     indic=False\n",
      "n_m=468  lon mean: 95.8   lat mean : 80.0     indic=False\n",
      "n_m=469  lon mean: -100.4 lat mean : 68.9     indic=False\n",
      "n_m=470  lon mean: -118.9 lat mean : 76.7     indic=False\n",
      "n_m=471  lon mean: -94.8  lat mean : 75.1     indic=False\n",
      "n_m=472  lon mean: -90.5  lat mean : 77.4     indic=False\n",
      "n_m=473  lon mean: -91.5  lat mean : 79.7     indic=False\n",
      "n_m=474  lon mean: -121.1 lat mean : 75.7     indic=False\n",
      "n_m=475  lon mean: -96.9  lat mean : 73.1     indic=False\n",
      "n_m=476  lon mean: -95.5  lat mean : 74.6     indic=False\n",
      "n_m=477  lon mean: 48.3   lat mean : 80.5     indic=False\n",
      "n_m=478  lon mean: -102.0 lat mean : 68.7     indic=False\n",
      "n_m=479  lon mean: -101.1 lat mean : 69.5     indic=False\n",
      "n_m=480  lon mean: -94.6  lat mean : 75.9     indic=False\n",
      "n_m=481  lon mean: -118.4 lat mean : 75.8     indic=False\n",
      "n_m=482  lon mean: -111.7 lat mean : 68.3     indic=False\n",
      "n_m=483  lon mean: -100.4 lat mean : 70.6     indic=False\n",
      "n_m=484  lon mean: 49.9   lat mean : 80.2     indic=False\n",
      "n_m=485  lon mean: 51.0   lat mean : 80.0     indic=False\n",
      "n_m=486  lon mean: 89.4   lat mean : 77.2     indic=False\n",
      "n_m=487  lon mean: -111.3 lat mean : 75.5     indic=False\n",
      "n_m=488  lon mean: -98.4  lat mean : 74.0     indic=False\n",
      "n_m=489  lon mean: -97.4  lat mean : 74.5     indic=False\n",
      "n_m=490  lon mean: -96.5  lat mean : 75.5     indic=False\n",
      "n_m=491  lon mean: -94.8  lat mean : 77.6     indic=False\n",
      "n_m=492  lon mean: 50.6   lat mean : 81.1     indic=False\n",
      "n_m=493  lon mean: 53.0   lat mean : 80.3     indic=False\n",
      "n_m=494  lon mean: -95.4  lat mean : 77.2     indic=False\n",
      "n_m=495  lon mean: -100.8 lat mean : 76.0     indic=False\n",
      "n_m=496  lon mean: -94.4  lat mean : 78.2     indic=False\n",
      "n_m=497  lon mean: -96.7  lat mean : 78.3     indic=False\n",
      "n_m=498  lon mean: 54.1   lat mean : 80.6     indic=False\n",
      "n_m=499  lon mean: 56.2   lat mean : 80.8     indic=False\n",
      "n_m=500  lon mean: -97.3  lat mean : 77.0     indic=False\n",
      "n_m=501  lon mean: 60.6   lat mean : 80.6     indic=False\n",
      "n_m=502  lon mean: 90.5   lat mean : 81.1     indic=False\n",
      "n_m=503  lon mean: 56.8   lat mean : 81.3     indic=False\n",
      "n_m=504  lon mean: 81.9   lat mean : 75.3     indic=False\n",
      "n_m=505  lon mean: -109.4 lat mean : 68.0     indic=False\n",
      "n_m=506  lon mean: 59.3   lat mean : 80.0     indic=False\n",
      "n_m=507  lon mean: -114.2 lat mean : 76.8     indic=False\n",
      "n_m=508  lon mean: -104.7 lat mean : 68.5     indic=False\n",
      "n_m=509  lon mean: -112.2 lat mean : 77.8     indic=False\n",
      "n_m=510  lon mean: -109.0 lat mean : 67.9     indic=False\n",
      "n_m=511  lon mean: -102.3 lat mean : 78.6     indic=False\n",
      "n_m=512  lon mean: 58.5   lat mean : 81.8     indic=False\n",
      "n_m=513  lon mean: 79.0   lat mean : 72.9     indic=False\n",
      "n_m=514  lon mean: 60.8   lat mean : 81.1     indic=False\n",
      "n_m=515  lon mean: -99.4  lat mean : 79.9     indic=False\n",
      "n_m=516  lon mean: -111.2 lat mean : 78.5     indic=False\n",
      "n_m=517  lon mean: -101.8 lat mean : 77.8     indic=False\n",
      "n_m=518  lon mean: 63.0   lat mean : 81.7     indic=False\n",
      "n_m=519  lon mean: -108.2 lat mean : 67.9     indic=False\n",
      "n_m=520  lon mean: -108.1 lat mean : 67.6     indic=False\n",
      "n_m=521  lon mean: -104.2 lat mean : 75.2     indic=False\n",
      "n_m=522  lon mean: 76.0   lat mean : 73.3     indic=False\n",
      "n_m=523  lon mean: -105.6 lat mean : 73.4     indic=False\n",
      "n_m=524  lon mean: -107.6 lat mean : 67.0     indic=False\n",
      "n_m=525  lon mean: -105.1 lat mean : 77.4     indic=False\n",
      "n_m=526  lon mean: 70.7   lat mean : 73.3     indic=False\n",
      "n_m=527  lon mean: -107.9 lat mean : 73.6     indic=False\n",
      "n_m=528  lon mean: -107.4 lat mean : 68.2     indic=False\n"
     ]
    }
   ],
   "source": [
    "def IsIn (lon, lat, lon0=0, lat0=90) : \n",
    "    '''\n",
    "    True if North pole is in the polygon\n",
    "    Uses cumul of vector product of adjacent pairs\n",
    "    '''\n",
    "    dlon=lon-lon0 ; dlat=lat-lat0\n",
    "    prod=0.\n",
    "    for i in np.arange(len(dlon)) :\n",
    "        dp =  (dlon[i-1]*dlat[i]-dlat[i-1]*dlon[i])\n",
    "        prod = prod + dp\n",
    "    return prod < 0.\n",
    "\n",
    "n_mass = np.max (list_land)\n",
    "\n",
    "for n_m in np.arange(n_mass)+1 :\n",
    "    idx = np.where (list_land == n_m)\n",
    "    nn = len( idx[0] )\n",
    "    if nn > 0 : \n",
    "        lon = np.array (list_lon[idx]) ; lat = np.array (list_lat[idx])\n",
    "        indic = IsIn (lon, lat)\n",
    "        print ( f'{n_m=:<3d}  lon mean: {lon.mean():<-6.1f} lat mean : {lat.mean():<-6.1f}   {indic=}' )\n",
    "        if indic : \n",
    "            #list_lon   [idx[0]] = lon[::-1]\n",
    "            #list_lat   [idx[0]] = lat[::-1]\n",
    "            list_inner [idx[0]] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "065789fd-0e70-4ec2-ab8e-720eb9178b8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Test\n",
    "\n",
    "#ist_lon = nemo.clo_lon (list_lon, 0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f77610d-a8a0-402f-bb27-7fef1d4305da",
   "metadata": {},
   "source": [
    "## Very simple demo plot\n",
    "With no projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "56aa9179",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'eORCA025')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure (figsize=(12,6))\n",
    "\n",
    "ax = fig.add_subplot (111)\n",
    "nn=1571\n",
    "ax.plot (list_lon[:], list_lat[:], linewidth=1)\n",
    "ax.set_title (Model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97873a6c-4fa1-4992-ad48-5529b8f14bd5",
   "metadata": {},
   "source": [
    "# Build shapely structure"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67331101-4086-4a87-a36f-e9b8b8c15f0f",
   "metadata": {},
   "source": [
    "## Build land masses and inner water bodies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4073e61c-51a6-47ed-abec-532991ae53f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_mass  = list_land.max().item()\n",
    "holes   = []\n",
    "corners = []\n",
    "for nm in np.arange(1,n_mass+1) :\n",
    "#for nm in np.arange (9,10) :\n",
    "#for nm in [9,] :\n",
    "    pts = np.where (list_land == nm)[0]\n",
    "    # pts = pts[::-1]\n",
    "    # fill Antartica\n",
    "    if nm == 1 : \n",
    "        poly_corners = np.stack ( [list_lon[pts], list_lat[pts]]).T\n",
    "        for pt in pts[::-1] : \n",
    "            poly_corners = np.row_stack ( [poly_corners, np.array([list_lon[pt], -90.])])\n",
    "        poly_corners = np.row_stack ( [poly_corners, poly_corners[0]])\n",
    "    if nm > 1 : \n",
    "        pts = np.append (pts, pts[0] )\n",
    "        poly_corners = np.stack ( [list_lon[pts], list_lat[pts]]).T\n",
    "    if list_inner[pts][0] == 1 :\n",
    "        hole = poly_corners\n",
    "        holes.append (poly_corners)\n",
    "    else : \n",
    "        corners.append (poly_corners)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "66936bb5-259d-48ad-8ae0-449058dc281c",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_corner = len(corners)\n",
    "n_hole   = len(holes)\n",
    "\n",
    "polys = []\n",
    "# Loop on water bodies\n",
    "for nc in np.arange (n_corner) :\n",
    "    in_hole = []\n",
    "    poly = shp.Polygon (corners[nc])\n",
    "    # Loop on inner water bodies\n",
    "    for nh in np.arange (n_hole) :\n",
    "        if shp.Point (holes[nh][0]).within(poly):\n",
    "            in_hole.append (holes[nh])\n",
    "        poly = shp.Polygon (corners[nc], in_hole)\n",
    "    polys.append (poly)\n",
    "\n",
    "coast_shp = shp.MultiPolygon (polys)\n",
    "\n",
    "coast_geo = shp.to_geojson (coast_shp, indent=None,)\n",
    "fic = open ( f'{Model}_coastline.json', 'w')\n",
    "fic.write (coast_geo)\n",
    "fic.close ()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a5c5c9c-0d7f-407a-8d8f-e03ef32c4579",
   "metadata": {},
   "source": [
    "## Build cartopy feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1fee1990-fa68-4af1-9a8c-5f3ab3a13a0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "coast_poly = cartopy.feature.ShapelyFeature (coast_shp, ccrs.PlateCarree (central_longitude=0), facecolor='none')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7669bc07-3379-4f25-8630-8c2950d701de",
   "metadata": {},
   "outputs": [],
   "source": [
    "CenLon = 0.01\n",
    "\n",
    "#ProjPlot=ccrs.PlateCarree(central_longitude=CenLon)\n",
    "ProjPlot=ccrs.Robinson(central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.Orthographic(central_longitude=CenLon, central_latitude=-90)\n",
    "#ProjPlot=ccrs.Stereographic             (central_longitude=CenLon, central_latitude=90)\n",
    "#ProjPlot=ccrs.AzimuthalEquidistant      (central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.InterruptedGoodeHomolosine(central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.LambertAzimuthalEqualArea (central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.AlbersEqualArea           (central_longitude=CenLon), \n",
    "#ProjPlot=ccrs.Stereographic             (central_longitude=CenLon, central_latitude=40)\n",
    "#ProjPlot=ccrs.Mollweide                 (central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.NorthPolarStereo          (central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.LambertConformal          (central_longitude=CenLon, cutoff=-30)\n",
    "#ProjPlot=ccrs.Orthographic              (central_longitude=CenLon, central_latitude=90)\n",
    "#ProjPlot=ccrs.EckertVI                  (central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.EquidistantConic          (central_longitude=CenLon)\n",
    "#ProjPlot=ccrs.RotatedPole      (pole_longitude=CenLon, pole_latitude=60.0, central_rotated_longitude=lon0)\n",
    "#ProjPlot=ccrs.RotatedPole      (pole_longitude=CenLon, pole_latitude= 0.0, central_rotated_longitude=lon0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d8cfb96-cc3e-45db-b236-6e2bacc8be0a",
   "metadata": {},
   "source": [
    "## Plot with projection\n",
    "\n",
    "Warning : in recent version of Matpotlib, somme projection may fails. Limited to projection showing all the globe (Robinson, Molleweide)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "74ae227c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.gridliner.Gridliner at 0x1557c2cd0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dYWVlhbFjx2LMmDGoVauWvMVjMMolTLFlMApBdHQ0rl27hitXruDZs2fo1asXxo4di6FDh0JHR0fe4lUYsrOz8f79e3z8+BEmJiYwNzdnK7QlQGZmJh49egQTExPmxbMEYYptyUJE8PX1RWxsLDp37sz2hpYAKSkpePfuHaKjo2FmZgZzc3PmuKsYSU5Oxu3bt3H58mW4urqiTZs2GDt2LEaNGgVjY2N5i8dglBuYYstg/ICsrCzY2tri3LlzcHFxQceOHTF27FiMGDEChoaG8havQiESiRAaGooPHz7AwMAAlpaWqFy5srzFqpAIBAI8evQIBgYGctlTm5SUhGPHjuHu3bto27YtsrKykJmZiczMTAgEAtSqVQuKiorIzs6GQCDgk7GxMSpXrgyhUAg9PT2YmJhAKBSiVq1a6NChQ6leQ0Fhim3JQ0R4/fo1kpOT0alTJ+bZt4RITk5GYGAgEhMTYW5uDjMzM+ZkrpiJi4vDjRs3cOnSJTx58gS9e/fG77//jsGDB7NJGwbjBzDFlsHIBSKCt7c3zp49i//++w9GRkawtrbGpEmTUKNGDXmLV+EgInz+/BlBQUFQU1ODlZVVhdybzHEcPnz4gE+fPkFBQQF+fn7IyspCamoqAMDY2Bjx8fH48OED1NTU8PXrV+jp6aFKlSr4/PkzIiMjYWxsDD09PXz8+BHx8fGoUaMG6tatC1VVVQiFQpibm6N+/fpIT09H1apVYWVlJWO+LRKJ4OXlBTU1NbRu3bpISm1sbCy2bt2KlJQU7NmzB25ubhg1ahQaNGgAPT09pKSk8EksFqNGjRpQV1eHoaEh76hKQs2aNVG5cmWoq6tDVVUVYrEYnz9/hqqqKlRVVaGiogIVFRWIRCJ8+vQJlSpVgkgkQlJSkpRMrVu3hoWFBbp16waBQIAGDRqgefPmcg+1wRTb0oHjODx79gwikQjt27dnClcJEhsbi8DAQAgEAjRs2BCmpqbM4qMECA4OxtWrV3H27FnExcVh7NixsLa2Rtu2bdn9ZjBygSm2DEYOwsPDcf78eZw7dw4xMTH8R6Rdu3bsI1JCfP36FX5+fhCJRLC0tISJiUm5utdEBLFYDCUlJaSlpcHT0xMeHh7w8fGBs7MzOI7Dpk2bsG7dOpmy6urq0NDQgIaGBhQVFREdHQ0dHR00aNAA2dnZqFKlCpKSkngPpdWrV0d0dDQSExNRq1YtXuENCQmBQCCAkpISQkNDIRaLpdqpUaMGjIyMUL16dRw8eBBRUVEQi8Vo1aoV4uLiEBkZicjISERFRSEpKQlGRkZQUFBA5cqVYWxsjPbt28PFxQX9+/eHjo4OatWqBXV1dXh7e+d6TyZNmgR9fX3o6OhAW1sbWVlZiI+PR2xsLAQCATQ1NfkVtitXrsDS0rJQ9/zr16/48OED4uPjIRQKkZqaijVr1iA8PDzX/CoqKvjw4QNq1qxZqHaKC6bYlh4ikQhPnjyBqqpqkSdtGAWDiBAREYG3b99CRUUFjRs3Zl7qSwgiwtOnT/nJdmNjY36y3dTUVN7iMRhlBqbYMn55BAIBbG1tcfLkSTx8+BC9evWCtbU1Bg8ezJxklCAZGRkICAhAbGwszM3NUadOnTK9wvLu3TvY2trC29sbqampSExMRGRkJLKzsxEfHw8tLS1kZmZCLBbDyMgIrVu3hoODg0w99+7dQ7169SAWi4vFjE8SAun9+/dITEyEkpISIiIioKCggA0bNsjkX7ZsGczNzbFjxw6EhYWB4zj+nJKSEtTV1fkVZAnGxsaIjo7m/58xYwY8PDzw7t27XGUq6c9Kx44dpVZ8C8PTp0+hqKgIBwcHfPjwAWKxGIqKilBUVOQnJ6KiorBq1Sr069evWBQjptiWDunp6Rg+fDi8vLxw6dIlmJmZoVGjRgCAwMBAbNmyBVpaWujcuTNGjBjBHE0VE2KxGCEhIXj//j2MjY1hZWXFvp0lSGZmJu7cuYOzZ8/C1dUVnTp1wuzZszFkyBC275nxy8MUW8Yvy4cPH3Dy5EmcPXsWlStXxowZMzBp0iSYmJjIW7QKjUgkQnBwMIKDg2FiYgJLS8sysW+IiJCQkICsrCyYmppCW1sbrVu3hpubG0xNTRERESGVv0WLFujTpw/U1NRQvXp1JCcnQ0tLC127dkWDBg14hSgzMxMJCQkwMjIq9n1/ycnJeZrZKigoyCiYgwcPxpgxY+Dp6Ql9fX1+Fbh69eqoVq0aDA0NoaCgAKFQiKysLIhEIrx79w5Xr15FQEAA3rx5gylTpmDHjh0gIvj4+CAlJQVPnz5FfHw84uLiMGXKFHTp0qVYr/N7bty4gd27d0NDQwPq6upQU1ODqqoq1NTUoKSkBGVlZaipqWHPnj351iOJ0ykWi5GdnY2nT59KnU9ISICent5Py8sU26IjEAjg7OyMypUro2vXrjITDQ8ePMCkSZPw5csXqeOrV69Gp06dUKVKFQQGBuLKlStwdnbmz//222+YO3cuKlWqhK5du5a5Pbl+fn5YuXIldHV10aRJE8yfPx/q6uogIgiFQkREROD58+cIDw+Hrq4umjZtitatW8tV5szMTAQGBiIqKgr169dHvXr1yvRkZUUgJCQEBw4cgKOjI1JSUjBlyhRMnz4d9evXl7doDIZcYIot45ciOzsbt27dwokTJ+Dp6Ylhw4Zh5syZ6NatGypVqiRv8So0RISoqCj4+/tDTU0NjRs3LhaloTjw8fFB8+bNZY63bds2T3NbAPDw8EDVqlURExMDXV1dVK9eHSEhIfj06ROMjY0RFxeH7OxsJCYmwtbWFm5ubhAKhQCAnTt3YtmyZYWS89mzZwgKCkJAQAACAgLg5+eHz58/55pXUVERmpqaSElJAQC0adMGy5cvR48ePcrMfS9pnjx5goCAAAD/U/QfPXqEf//9F/369YOxsTHCwsIgEonw/v17xMXFAfi2V3f+/PmYOHFiscjBFNv8iYiIwMWLF/H27Vs8f/4cgYGBAIBhw4YhJCQEvr6+AIABAwbg0qVL0NHRQVRUFOrVq4eMjIw8671x4waEQiH++usvvH79GpUqVZKyUMhJXFxcmdrXv2TJEuzdu5f/PygoCA0aNMCwYcNw+/btXMtIru/OnTv47bffSklSWRISEuDr6wuhUIhGjRqhWrVqcpPlV4HjODx8+BAnTpzArVu30LFjR8ycORPDhg2DqqqqvMVjMEoNptgyfgmCgoJw8uRJnDt3DgYGBpg5cyYmT57MvBqXEunp6fD19UVSUhKsrKxQo0aNUtv7xnEc7t69i+DgYIhEIixcuJBXcl6/fo2WLVtK5T9//jwMDQ3Ro0cPKCsrY/DgwbCzsyt2uS5evIjx48fnm4eI8O+//2Lbtm1ISUnhzYGNjIwQGxubaxlHR0eYm5ujVq1aqFSpEoKDg6GiooKAgAA0b978l7dI6N+/v9TKHQCMHz8eioqKGDBgALp27VrsA/HSUmwjIiIQGxuLevXqITk5mfc2zXEczM3NYWFhgdq1a8PHxwceHh7Q0tJCjRo1kJiYCEtLSzRt2hTNmjVDs2bNULNmzVJ7RwcMGAAnJ6cC5Z02bRpOnz5d4Lq7dOmCmTNnYvny5YiMjMw1j5mZGby8vMpUWJXMzEy8fv0aKSkp0NDQQJcuXeDh4YGuXbvyedzd3dGpUyc8ePAADg4OOHLkCAQCAQBg48aNGDhwIKpWrQojI6NSN1GVOAQMCAiAgYEBGjduzEy/S4m4uDicO3cOJ0+eRHx8PKytrTFjxgxYWFjIWzQGo8Rhii2jwiISiWBra4vDhw/jyZMnGDFiBGbOnIkuXbowhyKlhFgsRnBwMD58+IAaNWqgYcOGpTrA4jgOKioqUs6U9u3bh+nTp8vExc1vxSY7O5tXzPv06ZNrHi0tLaSlpQEAtLW1YWlpCTMzM5iYmPAOmJSUlNC8eXOpGXShUIiUlBRkZGTg6NGjiI+Ph7GxMXR1dbFkyRI+38CBA/H161ccOHAALi4uWLt2rYwMUVFRMoNzgUAAd3d31KhR45cd2Lx8+ZJXhp48eQIfHx8A31a4HBwc0K9fvxJtvzgU24yMDPz9999wdHSEjo4OFBQUkJGRARMTE0RGRiIpKSnPfcfLly9HTEwM3r9/j5CQEFhZWaF79+7IzMzE58+foaenh8DAQLi5ufFlWrdujWfPnhVZ3sKQlJQEJycnmJmZYcmSJYXaPz1q1Cj8/fffuHDhAubPn59rHmtra3Tr1o1f5e3evTtvwl6eTGV79eoFV1dX/v9p06bB3NwcVapUwahRo6CtrY2NGzfmurceABo2bAgfH59S7YOzs7MRGBiIL1++oEGDBqhbty6zjioliAgeHh44ceIErl+/jrZt22LBggUYMmQIlJSU5C0eg1EiMMWWUeGIjY3FyZMncfz4cSgpKWHOnDmYOnUq89ZYysTFxfED+iZNmkBfX7/Y6o6Pj8fQoUORnZ0NBQUFfgBua2uLrl27Qltbmx88rVmzBlu3bgUA9OzZE7dv3+b3YEpQVlZGs2bN4OjomK85olgsxoMHD9C7d2+Zc5KulIjynTjJzMzE/fv3ceHCBVy9ejXXPFWqVEFaWhqysrIAAPfv34ehoSHi4uKQnJyMSpUqwcPDA/v27ePLzJgxA8ePH5caNHIcxztLatOmzS87oSNZpW3WrBliYmKgoqKCx48fl5o30eJQbHOuNFepUgV16tSBoaEhwsPDUbVqVairq2PEiBEwNzdHaGgoQkNDoaioiNWrV/N1qKiooG7dulBUVERycjIaNWqE+vXr8yu4EqpUqYJTp05hyJAhRb/on0AkEuHt27fQ19dH1apVkZaWBrFYjMOHD0MsFmPZsmUyE1PAN+X/5cuX0NLSgq6uLkxMTGBrawsXFxeMGTMGWlpa5TpMyt27d7FkyRLevL5u3boICQnhz+vo6GDx4sUYMmQIKlWqBIFAgJiYGERFRWH69Ol8vjdv3mDWrFlISkrC27dvoaamhkOHDqFWrVpo1apViWxViI+Px5s3bwAATZs2Zd/jUubjx4/4999/8c8//0AsFmP27NmYPn06jIyM5C0ag1GsMMWWUWF49uwZDh8+jKtXr6JLly6YO3cuBg4cWK5m5CsCAoEA/v7+iIqKgoWFBczMzPKcoSciCAQCZGVlITIyEo8ePcLTp0/h4+OD8+fP56oICASCAu0ZkqzkzJgxA6qqqtDV1YWDgwPs7OzQuHFj7Ny5EytWrJAqExYWhtq1a0sdE4vF8PDwwOXLl3H16lUkJyfneS0FYcaMGTh16pTUscaNG2PdunXw9fVFq1atIBQK4e3tjeTkZJw4cSLf+vr164fhw4dj2rRpMvc5ICAAMTEx6Ny5c5lzjlPSZGRkYPz48YiJicHTp0+xa9cuhIWF4dSpUxAIBKW6D7E4FNuzZ89iypQp/P+urq7o0aNHvmXCw8NRr1493jw1J/PmzUNoaCgCAwPRqFEj6OnpITY2Fnv37kXDhg2LLGdZRSgUwt3dHaamphXKcoHjONy+fRsbN27k9yJLUFFRgbGxMapVqwZtbW3cv38fwDfHd69evZLKm9PZXOvWrZGdnY0uXbpg165dxebcj+M4hISE4N27dzA1NYWVldUv1y/JG7FYDAcHBxw+fBgeHh4YPXo05s6dizZt2shbNAajWGCKLaNck5WVhatXr+Lw4cMICgrC77//jjlz5lSogUt5IjIyEr6+vtDR0UGzZs1kQj4QEeLi4mBoaIiRI0fi5s2b+dbHcZzU6kp6ejq0tLRk8k2fPh13797FqFGjpByuKCsr886avmfAgAFwdHTk/2/dujWWL1+O1NRUqKqqQl9fH3fv3sWFCxfw9etXPp+JiQlq166NmjVromHDhhgyZAiaNGmS5yqQpItVUFCAWCzG6tWrsXPnTv784cOHMXfuXJlyJiYmUFRURHh4OB+vsHr16rxnVCLi99HmRlRUFF69eoWuXbvmes8qMh8+fMCwYcMQEBDAmxk/f/4c8fHx0NXVhY+PT6nuIS0OxfbatWsYPXq0zPHDhw9jxowZeZqX7tu3D4sXL86z3ocPH6JDhw6/hIKRkpICDw8PtG7dGlWrVpW3OMUOEeHDhw+IiYlBdHQ0n6KiovDlyxekpKSgevXqGD58OCZMmADgW7iwV69eITIyEqdPn4abm5vU1o29e/di6dKl4DgOp06dwqBBg3763qWnp8PHxwdpaWlo2rRpmdrb/CsRFBSEI0eO4OzZs2jYsCHmzp2L0aNHl4koBQxGkSEGoxwSExND69atoypVqpCFhQUdPnyYkpOT5S3WL0tmZiY9e/aMHBwc6PPnz8RxHHEcR2lpaXyeCxcuEAA+6erqSv2fM5mYmNC5c+eIiCgsLIyaNm1Ks2fPpuzs7DzLSJKmpmaux3V0dGSOxcbGUoMGDQgAKSsry5xXU1PLta6oqKgC3ZehQ4cSAFJRUaF69epJ1aGkpETx8fG0fft2/liXLl1o06ZNFBoaSkREWVlZlJiYWOjfIy0tjezt7enLly+FLlsRWL9+fa7PhIqKCrVp06bU+4o3b96Qv7//T9cTHh5Or1+/pnv37sk8k5MmTaI///yT0tPT+fwJCQn8eQUFhR++Ow0bNqS3b9/+tJxlmc+fP5Ojo6PUffrVEAgE+T4HqqqqZGVlRZ06daJjx47JnM/KyvppGTiOo48fP5K9vT29ePGiWOpkFI3k5GQ6fPgwWVhYkJ6eHq1du5ZiYmLkLRaDUSSYYssoV7x7945mzpxJampq1LdvX7p37x5xHCdvsX5ZOI6jt2/f0s2bN+nUqVM0Z84csrCwoO7du/ODoHr16hER0dSpU384sDYxMaFDhw5J1Z/z/IwZM/hzedWnr69PEydOpKioKDp+/Hi+7T18+JDat28vdWzBggV08eJF/n8LCwuZcq9evcrznrx8+ZJ27txJhoaGfP61a9fSnDlzaOHChbRx40Ze4X/9+vUP7wkAWr9+fYF/E5FIRA8ePCBfX99C/poVBx8fH5o7d67UPRw4cCD/d2pqaqnKU1yK7fckJibKPCsvXrwgom/3IOfxpKQkSk5O/uGzdurUqWKXs6zh4+ND7u7uJBaL5S1KkeE4jjZt2kQbN24s0HXEx8eTl5cXvXjxgjiOo1evXtGBAwdozZo1dPPmTQoMDKSvX7+Si4sLKSkpyTwXioqKBIDmzZtXrN/cjIwMevr0KTk6OlJERESx1csoPCKRiM6cOUN9+vQhNTU1+uOPP+jdu3fyFovBKBRMsWWUeTiOo0ePHtGQIUNIVVWVrK2t6c2bN/IW65clOTmZ/v33X5oyZQpt3ryZzpw5Q23btiUjIyNq1apVrquebdu2pXPnzpFYLKZOnToRANLQ0KB27dpRz549qUePHrRixQrKzs6WaiszM1OmPglfv36lS5cuUWxsrFS5yMhIPm/btm1JRUVFqryFhQXNmTOH7t+/n6tiqaGhIfW/5FlLTk6mN2/ekEAgyPPerF69Wqa+Z8+e5Znf39+/QIrt2bNnC/z7VIRBe1F58+YN3b17l/7991+ysbHJ9V6uWrVKLnKVhGJLRLRx40ap66tTpw59/PiR/79169ZSz6yzszMNGjSIrK2tpcqdPHmSkpKSSkTGsoZk8qegv4mXlxcB36wsWrRoQaNGjaKbN2+WsJT5k3M1Pjw8/If5q1atyue/evVqrnlyTnzY2dlRWloahYSEkLOzM40ePZo/V6lSJQJAo0ePprS0NAoKCqLXr1+Tp6cnubq60t27d8nT07PAE0gcx1FERAQ5OjrS8+fPZb4D5Ym4uDjasWMHPX/+XN6i/BRv3ryhyZMnk6qqKg0dOpQeP37MFhEY5QKm2DLKLCKRiK5fv07t2rWjypUr0/Lly9mMrhx4+/YtnTt3jubOncuvQjZv3pz++ecfWrlyJVWuXJmAb6aQLVq04E0eq1evLjVwnjx5Ml/n1atXaeTIkdS4cWOpPN+bztra2kqdP3HiBG3ZsoVfPciZ6tevTwDozz//lBnoF0R5lCRlZWWysLCghg0b0saNG8nd3Z3s7Oxoy5YttGXLFtq8eTMdP36cZs6cSe3bt6e2bduSp6cn3bx5k9TV1aXq+vDhww/vb3p6OnXp0kWq3MiRI8nPz49XSDIzM4no2zuRmppKMTEx5OLiQg8fPqT4+Hi+rqioKLK3t5cyAf9VyDnQl6QqVaqQiYkJr5TUrVu3QL9JcVOSii3RN8XgxIkTuT7PX79+zbNcdnY2ffr0qcTkKsukpKSQnZ0dxcTEUGZmJrm4uNCdO3d4Je3hw4e0cuVKmfs5fvx4fkXzwIEDcr2GuLg4CgsLK1Dec+fOUe3atalTp04yZqZJSUm0f/9+qX7oeziOI0dHR9q1axctWLCAz2dgYJBnX6qgoEAmJiako6NDdnZ2fD+WF5mZmfTkyRNydnam2NjYAt+HkkAkEhXJXH3Tpk389QcHB5eAZKVLeHg4LV++nCpXrkzt2rWj69evk0gkkrdYDEaeMOdRjDJHVlYWzpw5gz179kAgEGDhwoWYPn06KleuLG/RfjkuXryIiRMn8v+rqKjA2toa3bt3x9mzZ3Hv3j2p/BJnTVWrVkVGRgZSU1OlzhMR0tLScg3VIcHMzAyrVq1C9+7dUb9+/XzlMzAwQFpaGrKzs/ljw4YNg6amJi5cuJBnuSNHjkBFRQUzZszgj+no6KB69ep49+4dxGIxdHR0kJ6eDpFIBABQV1fnHUBlZ2ejSpUqUk6lJNffoUMHfP36FePHj5cKtfIjiAi1a9fG58+fAQCTJ09Geno6nj59isjISDRq1AihoaFIT0+XKlepUiXUqlULvXv3Rr9+/VC7dm00b968wO1WFLKyslCvXj18+fIlzzwikUguXtKLw3lUQSAifPnyBT4+PrC1tcXAgQMxdOjQEm2zPMJxHA4fPowvX77AwsICCxYskOmrvsfY2BjR0dFSx3R0dJCUlFSCkv48Pj4+mDx5MipVqoTo6GjExMRAW1sblStXRseOHaGiosL3lSoqKqhcuTLWrVuHefPm5VmnSCTCrl274O7ujkqVKmH8+PHQ19eHqqoqVFRUoKamhkqVKsHPzw8nTpzAkydPpMqfOXMGEydOzDWWKhHh48ePCAgIQO3atdGwYcNSf2fHjh2L//77DwDQu3dvmJqaom3btli8eDEyMjIwd+5cdOnSBbVq1YKioiKqVKkCIyMjqKur816HhUIhhg8fXm5DS31PSkoKTp06hf3790NFRQWLFi3CtGnTmKMpRpmDKbaMMkNWVhZOnTqF7du3w8DAACtXrsSoUaN+CW+dZZVLly7x3jPr1KmDRYsWIS0tDfv370dMTIxUXm1tbcyZMwf169fH77//DkVFRfj7+yMmJga9evUCAGzcuBHbtm3jFVFra2ucO3cu17b37t2brzfX/fv3Y/78+Xjw4AF69uzJH69cuTL69+/PD0wA4ObNmxg+fDj/PxEhMjIS1atX548tWLAAKioqaNq0KaKiohAaGoqnT58iJCQEKSkpMu0rKipCLBajRo0aCA8PBwAcP34cf/zxR54y/wiRSITLly/jyJEjSEhIgImJCdq1awctLS28ffsWTZs2hZqaGoyNjWFubo6kpCQ8evQI3t7evEItiW37+vVrNGvWrMiylFcSExPh5eWF27dv82GVli9fjiZNmmDgwIHQ1dUtdZlKS7Fl/JjvPauvWLECJiYmSEhIwPDhw+Hn54ejR4/iyZMneYbwGjt2LIYMGYJevXrlG/f6Z4iIiMDnz59hamqKmjVr/jB/RkYG7t+/D0dHR5w9exbVqlXDx48f+fMSJTE2NhYWFha4du0aHwZKU1MT27dvx8yZMwsUSq2wZGVlwdfXF2PHjkVYWBh/PL+JptTUVLx69Qocx6Fly5YlPrF97tw5/P7776hUqRI4juOP9+zZEzExMfD39+ePqaioyITQylnu69ev2L9/P549ewZra2sIhUJYWVnB0tKSnyAtrwiFQpw5cwY7d+5EVlYWVq1axRRcRpmCKbYMuZOVlYWTJ09ix44dqFKlCtavX4+hQ4fmGcaEUbqkpKTg0KFDsLS0hJ6eHnbv3g0HBwepPN27d0evXr0QHh6O+Ph46Onp4cSJE+jVqxdu3ryZ56DkypUrsLW1haWlJf755x+pQQ8AuLu7o1evXhAKhdDU1JRarRwzZgxu3ryZazifRo0aSQ1EJNSqVQtubm6oU6cOACAhIQFWVlYgIigoKEBRURFfvnyBsrIyTExM0KZNG9StWxcNGzbkVxdq166NxMREnDhxAnfu3AEA7N69G8OGDePrLW3CwsLw4cMHmJiYoHHjxgCAHTt2yMTp/VVYt24dNm/enOu5hIQE6Onplao8TLGVPzdu3MDIkSOljkVFRUFfXx9ubm684pcTPT09mJubY9myZdDV1UXXrl1zXWUsCVq1aoWXL18C+Kbk5RWyy9fXF7NmzZJZFW3SpAkAoEGDBrCxsUHXrl1lyhIRhEJhnqGiSgKxWMzfw3r16uHDhw955uU4Du/evUNISAgaN25coiG6HB0dMXDgQACAlpYW0tLSAHwLJTdy5EiYm5tjz549UFRUxK5du/D161e8f/8ecXFx4DgOgYGB2LRpE4D8w8wZGxvD1NQUqqqqyMrKwqxZszB9+vQSuaaShOM43Lp1Cxs3bkR8fDxWrVqF6dOnMwWXIX/kYf/MYBB9209z8OBBMjExoSZNmtCNGzd+SYc38objOEpKSqK0tDQKDg6miIgI8vb2prS0NBIKhfT8+XNycnKS2qsXEBBQ4D2rffr0oYYNG5Kenl6+e7Fyeq0FQDVr1pRyVhEcHJxrWUNDQ6mwPFOmTJEKoZPTedSpU6fo8ePHdOvWLd4ZyrFjxyguLo78/PwoPDycXFxc6OnTp/T48WM6c+YMTZgwgbZt20aJiYnk6elJDg4OZGpqKiVDZGSkPH46Ivq2R9fe3p7fN7d582Zertu3b8tNLnnSokWLPJ81eXj5LOk9towf07lzZ/4ZcHJyooyMDP6ci4sLXbhwge+jzpw5I/fwM76+vjRnzhw6evRort9FjuOoZs2aMn1tYGCg1LWVJby9vWnUqFFkZGREAOjo0aMF2ksbGxtLTk5O9PLlSxIKhSUqY3R0NGVnZ9OiRYsIANWuXZvfrz98+HApj9ESR4PfOygcOHAgPXr0iNq0acPv8c8vlec9q2KxmG7cuEFNmjQhExMTOnjw4A/3UjMYJQlbsWWUOpmZmfwKrZGREdavX48hQ4awFdpSZvfu3Th37hxCQkKQmZkpc75GjRpYvnw5tLS0EBoaisDAQDx69AjOzs78Hs7MzEykpaWhQYMGSExMzLUdPT09jB07Frq6urCyskLt2rWRnJwMNTU1hIaGonHjxmjcuDE0NDTAcRwiIyNhZGSU6yqCSCRCQEAA7t+/Dx8fH1y4cAG7du2CsrIyFi5cCADQ0NBAVlYWtLW1MWzYMHTp0gVTp04FACgoKORpXlgU/vzzTyxatAgGBgbFVmdhICI8ffoUampqUvtqN2zYgI0bN2LEiBG4fv26XGSTF0KhEBs2bMC2bdv4Y8ePH8eoUaOgqKgIHR2dUpeJrdjKl+/Nj7OysqCqqorMzExoaGgAABYvXgxlZWVs3ry5XGx/ybnyCQBbt27FmDFjULduXTlKlTc3b97EhAkToKKiAqFQKPXNWbZsGXbu3Jlv+czMTLx48QIikQitW7fOcwW7OPny5Qv27dsHDQ0NxMXFwcfHB0+fPgUA1K1bFzNmzIC3tzc+ffqEXr16Ydy4cWjYsKGMOXdcXBw8PDwQFBSE0NBQhIWFwdTUFFlZWejWrRvmzJlT4tdS0nAcB1tbW2zYsAFfv37FypUrMWPGDLaCyyh1mGLLKDVEIhHOnDmD9evXw8jICBs2bMDgwYOZQisHcprl7d69G9HR0WjcuDG+fv2K+vXrw9/fH2ZmZrCzs8OVK1ek9hwBgK2tLQYPHsz///btW+zfvx+BgYGoX78+OnbsiLp166JNmzb8nqKkpCSoq6sjOjoaAQEBSExMxJs3b6Cjo4M///xTRsYvX77g6NGj8PT0hLu7u8x5MzMzHDp0CAKBAJs2bYKPj88Pr1tJSQkeHh7IzMxEbGwsbt++jU+fPkEkEkFNTQ0mJiYYN24cFBQU8PnzZ6ioqCA1NRUcx+HLly8QCASoVasWGjZsCENDQ4hEIv5vefD582cEBgaiZ8+eUoPxoKAgNGzYEGpqarlOWlRk9u7diyVLlgAAatasidatW+P06dNyUWglMMVWfrx9+xaWlpb8/x8+fEC9evUAfNuPL3Ea5efnh/DwcDRp0kRq731ZIDY2FkpKSggKCoKmpiZEIhFCQ0NhZ2cHX19fvHnzBsA3h3N5+SyQF7Gxsbhx4wbmzp3Lf0fU1NSQlZXF56lRowYOHTqE1q1b86bGfn5+vJl0nTp1ULt2bQDffs9Pnz6hefPmMDExkWnv69evuHLlChQUFGBqaorOnTtDU1OzSHuHly9fjl27dvH/+/n5oVGjRvz/gYGBMu901apVUadOHQwcOBCNGjXCgAEDysVESXEhUXA3btyIqKgobNq0CdOmTSs1E34Gg5kiM0ocjuPIzs6OLC0tqV69enTt2jVmciwn/P39pczXevbsKXVeLBaTr68vOTg4UHR0NMXFxZGvry99/vyZLl26xIfUAUBz584tUDgEoVBIkyZN4kOuIBdTrEePHvH5MzIypEyUW7du/UNTrq5du9KRI0fIxcWFnj17RgEBAbRv3z7q0KGDVL7hw4dTs2bNpMyUc5NJU1OzwKbWAGjixInF/lv9iKysLHJwcMjVDDoxMZGXraLz/v17+vfff2nTpk00bNgwPsbm5s2b5S0aDzNFlh9ubm78u3Dr1i0i+vZN2r17N3/cx8eHiL6FNnFycso3VnVBSE5OpmHDhlHbtm1p3LhxdO/evVzzde/enZdh9erVuZqk6urqFrgfunjx4k/JXdxcv35damuJ5O958+bRgAED+FBxhU2nTp0ie3t78vf3lzIZFwqFeZbR1tam2rVrU6tWrWjQoEG0fPlyevbsWb6xWYVCId29e5dWrVpFW7duzdUMOjIyknbu3JmvvCNGjKDExMSSuMVlFqFQSEePHqW6deuSpaUl2dvbszi4jFKh4o96GHLlxYsX1K1bNzIwMKCDBw+W68Dr5ZnIyEiqWrUq/6G1tLSk169fS31oBAIBeXl5kYuLC3l6etK2bduoadOmpKys/MOBxurVqyk1NZVsbGz4Yx4eHhQREUE1atTIt6yBgQHFxsbS9OnTCYCUnCNHjiSibwPR/OrIysoiPz8/CgsLo+TkZNq9ezffbo8ePXjFGgANGjSI/vnnHxo9ejTVrVtXpq5Ro0bRmjVr6PHjxxQWFkbjx4+XOu/g4ECTJk2icePG0cSJE/nj69atK9Xf9NWrV/T06dNcz+W8Xzdu3ChVuUqbnHsnAVDv3r1p4MCBZSrmNVNs5UNMTIzMs0FE9ODBg1wnpTiOI09PT3rz5k2R2xSJRDRv3jyZfuWvv/4iHx8fys7Ops+fP+faj+V8V21sbMjQ0FAqDveGDRvo2bNn5OTkRO7u7hQREUFCoZBSUlKKfpNKkEGDBslc47hx4/jvjlgspuDgYMrOzqawsDD677//6MyZM3T69Gl6+PAhPX/+nDw9PcnW1pa2bdtGo0aN4utp1KgRHT9+nFavXk39+/cnGxsb3m+CJPXs2ZNOnz5Nu3fvplWrVtHMmTNp+PDh1KFDBz4mu5mZGS1btoxevXpV5OtMS0uT2mero6Mjc9179uwhjuN+OeUuOzubDhw4QAYGBtS9e3d68eKFvEViVHCYYssoESQKgbq6Oq1cuZKSkpLkLdIvSUhIiJRi2bVr11xX+NLS0sje3p527drFO8TImRo1akQ2Nja0f//+Is2wu7q6UmxsLHXs2JE/Vq9ePXry5AkJBII8y4WEhPAy5lxplaQmTZrQ48ePZY4rKyvT5MmT6ebNm1LH3dzciIiobdu2MmU+fvwoc19EIhHv6ORHqXr16qX2nMfHx5OdnV2uK+avX7+Wkmvx4sWlIpO8OHbsGH+tZdUJC1Ns5UODBg34Z+PBgwf885Hz/fielJQUsrOzK/K77Ovrm28/oaKiQkeOHJE5PmjQIAoLC6OxY8eStrY2ryjVqVOHn/SbOHEiffjwgeLj48vss56TzMxM8vT0pNOnT5OzszMlJyf/dJ1RUVF07NgxmjNnDs2bN48uXLhAp06dorp161Ljxo15iw3gmxOwvBAKheTq6kozZ87k82/fvv2nFE+JdVpuv7uCggLp6uqSkZERNWjQgDp37kzTp0+ndevW0eHDhykxMZFCQkIoIiKCBAJBhbNqS0pKopUrV5K6ujpNmDCBwsLC5C0So4LCFFtGsZKQkEBLly4ldXV1mjx5Mn3+/FneIv2SfO9BuE6dOhQQECDz0XZ3d6chQ4bQ+fPnaerUqVKDgg0bNpCrq6vUKntMTAx1796dKleuTMePHyexWEx79uzhy1SuXJm2bNki1faff/7Jl5cc27Ztm5Qc3w8C/v33XxlzwEePHsnkGzFiBP93mzZt6M6dO3TgwAGKiIig27dv8+dGjx7NX3t0dLRMPf/880+u99Hc3DzXQYqhoSEtXryY/vzzT+rUqZPUuZIecHIcRw8ePKCgoKBcz0tML83Nzent27flYgBcVD58+MB7HR01apS8xckTptiWPm/evJGawJK8/znNVVNTU3Mt6+/vTx4eHkVScnJO1KWmpvLvX0REBN28eZM3yQ0KCqKgoCCpvqNXr14FnixUUlKi3bt3S3mr/xURi8Xk4+NDTk5OFB8fT2lpaYVWCq9du8bf1wYNGuTaRkE933//Ox05coSOHDlCBw8epI0bN9K8efNo9uzZ1K9fP6pVqxZVqVKFFBUVZZRgIyMjMjMzoz59+tCKFSsoPDy8UNdUVvn06RNNnjyZ1NXVacmSJZSQkCBvkRgVDKbYMooFsVhMJ06cIAMDA+rUqZPUnklG6ZNzFcvExERmgCYWi2nw4MHUvXt3unLlCvXp04fPb2lpmafSlBscx9Hnz5/5AZyzs7PUR1oSziGneez38rx8+ZK6dOkiVS44OJjWrl1Lhw8fpmHDhuU5wGvYsCEFBgZK1Zdzb9eRI0ekzn1vGj1lypQ8VxK2bdtGAGjp0qV07tw5+vvvv3MdYEyePFlKKT9z5gxt2rSJPD09C3wfC0pYWBjdu3cvV4U1JSWFl2PlypX0xx9/UMeOHen+/fvFLkdZ4Pz58/z1Ojk5yVucPGGKbemT0xx02bJlUufMzMwIAFlbW+f67guFQnJ2di7SxGzOfu7Lly8y56dNm0YAaMCAAfkqrr169aIXL17wljQ5J/G+T79qWC8JHMdRSEgI2dnZFVkBvHXrFn8/V6xYIbWftnfv3vy5o0ePSq3mp6amkpOTE7m6utLnz5+lzNyBb9tpfjRBEh4eTqdOnSJnZ2c6ffo0HT16lBYsWEALFiyQquvx48eUlpZWpOsra7x69Yratm1L+vr6dPLkyQq3Qs2QH0yxZfw0z549o8aNG0vFEgX+56ijLJCdnS01K/vhw4cKbQojEAjo77//5q/38OHDNGrUKGrUqBEBIHV1dRo5ciRdunRJRhGVpHPnzhWpbVtbWwJAFhYWtHTpUiL6NvDYtWsXX3deuLi45CpL1apVpUyCjx49Sq1atcq1vqioKP64np4ebdiwgV6/fi0jX16D3qJw5syZPAedZ8+e/en6JQgEAnJ0dMxz9SApKSlXGUxMTCqE9cTx48dp1apVdOjQIRKLxSQSiXgHNHXr1i3Rtt3d3cnBwaFIq3jlWbENCwuTikuZlJREoaGhcpSoYNy7d49//i0sLOj69evk7OxM2dnZxHEcnTlzhrS0tKhOnTq57lUPDw8nZ2fnQsVNzWklAiBXJ1Tt27eXeT8DAgKk/ABIUvXq1aWcDqWnp5OdnR1NmTKFhg4dSmpqaqSgoEAuLi5FukcVjejoaLKzs6Pg4OAilf/+W3j79m3iOE7KKgkAqampUYMGDahDhw4F8kHh6OhY5Gv6fj+2kpIS1alTh5o1a0YzZsygly9f5lteIBBQdHQ0BQQEUFxcXJHlKAlEIhFpaGiQmpoaNW7cmJ4/fy5vkRgVABbuh1Fkvn79iqVLl+LixYsQi8Uy8UE/ffqEmjVrlpo8RITnz5/j2rVrqF69OpKSklCpUiXY29vj3bt3SElJybXcsGHDEBYWhhMnTqB169alJm9pMGfOHBw7dkzq2JQpU9CtWzfo6OigU6dOaNmyJT59+iSVR0lJCc+fP4eWlhYyMzNhYGCQa2iFgnLs2DE+Vt/Hjx9Rq1Yt/lxaWhoUFRWhrq4OgUDAh2Xo168fbGxs8NtvvwEABg4cCCUlJezfvx+1a9fGzZs3MWLECACQevZSUlJyDe3i7OyMvn37AgCSk5Nx/vx5pKSkYPbs2dDT0yvytUkgIjg5OSE5ORm9e/dGWloazMzMAHwLQVOzZk20adMGNWrUKHIbgYGBSEhIQMeOHfmwGN9z7949LF26FJ8+fUJKSgq0tbX5kCbXrl3jwzyVN16/fo0WLVrw/1+/fp3//SX3Ii4uDlWqVCnWdokILVq04MNJxcTEwMjIqFB1lIdwP6GhofDy8oK6ujqUlZXh6uqKGzdu4MuXLwDAx/P8448/AABNmzbF2LFj0aJFC9SpU4cPoVOWSEhIgJ2dHY4dOwZvb28AQJMmTTBjxgxYWVlBR0cHM2fOxMuXL1GrVi1MnToVc+fOhb6+PogIHh4eMDY2RoMGDQrUXs53Mq/nJDg4GJaWlhAKhVLHZ8+ejcjISNja2kodf/jwIbp27VrYS/9lSUxMxNOnT1GzZk1YWlrm2U/mx86dO7FixQr+//bt2+PJkycAvoUQmzVrFgIDA5GamoqePXuid+/eSEpKQnBwMDQ0NNClSxeoqKjg1q1bqFy5MoYMGfLTYQ2/fv2KV69e4fXr14iOjkZYWBhevXqF8PBwDBs2DO3bt0dUVBQiIyMRHR2N6OhoxMbGSsWXV1JSgra2Nho0aIAOHTqgc+fO6Nq1a7F8/4pCzu+9goICFBUVMWHCBOzevbvY+3HGL4T8dGpGeUUkEtHRo0dJT0+PD0WwaNEimjt3Lm3bto3u379f4mYliYmJlJKSQk+ePKGTJ0/S6NGjydTUlACQvr4+KSkpkYaGBikrK9OgQYNo9erV5O/vTxzHSTkUsrCwkJoNHTVqFI0dO5Z69+5NnTt3pqNHj/JtydOjs1Ao5O/ps2fPSE1Njbp06fLD1aOoqCi6fPky+fv7k1AoJJFIRN7e3nT//n3e8RB+MNucM1WqVKlQKxgSQkJCpOpp3LgxxcfH04sXL/JcxeU4TsrZ1PfkDOWTk/j4eP54t27dyMjIiBo2bJjnfrq8SE1NpalTp9Lo0aPp8ePHUmElCsrDhw+lvDwDoKFDhxZp1U+yWpPfnqT//vuPGjduLNNmzlQew06IRCJe/rVr1/J/L126lJYvX87/XxL7DTmO48NcFXV1vyyv2HIcR4cPH5Z5TlRVVUlPTy/XZ+jAgQM0ZswYUldX54+1aNGCdu3aVSb3dItEInr+/Dm5ubnl6oQuZ+ratSvFx8fTmjVr6OjRo2RnZye1Yp0fOf0LDB8+PN/3/M2bN3xeST83c+ZMEovFlJqaSnFxcfw2DkbhSE1NpXv37tGLFy+KPBYRi8Xk6upK27dvpz59+vBOFXfu3FnM0hYdoVBIZ86coTp16pCmpiY1aNCAunXrRuPGjaNFixbR9u3b6dSpU3T79m1yd3envXv30saNG6lfv35SoZYGDRpUqO1HxUlERAQtWrSIl0VHR4f09PTo6NGjZbIvYZR92Ioto1A8efIENjY2SElJwYEDBzBw4MBSazs8PBweHh64fv06bG1tpVbpzM3N0aNHDwwcOBD9+/eHUCiEkpISKlWqlOtMqUAgQGZmJnR0dJCUlMTPWDZu3BgikQj6+vpQVVXFw4cP+aDyANC7d280atQI2traiI6OhpeXFzIzMzFjxgzMnz8f6urqP32dmZmZePDgAQICAvDs2TNcv34dADB06FAkJyfjwYMHfN4rV65g9OjRuHjxIiZNmoTx48fjwoULiI2NReXKlZGdnQ1dXV0AgFAohLe3NziOQ9u2baGqqorr16/j6NGjUnX+iOTkZFSuXLnQ1+Xk5IRhw4YhOzubPzZ58mT8+++/sLGxweHDhxEbG4uAgACkpKRg6NChAABDQ0O4urqicePGfLmsrCy0adMGfn5+AKRXY4HcV6oBoHv37lBQUIC5uTmqV6+OzMxMdOzYERYWFrh27Rpu3boFS0tLNG3aFAKBAMuXL5cqz3FckVYAHB0dpd6VjRs3Yt26dYWq4+XLlwCAli1b5pnHysoKgYGBeZ5v164dnJyc+GeivCAWi6GkpJRvngkTJuDChQulJFHhKEsrtuHh4di9ezfq16+P9+/f4/Tp08jIyODP+/j4ICMjA/Xq1UNWVhasra2RmpqKmTNnIisrC71794aFhQWAb9YWFy9exKxZs/jyT548gYKCAqysrKCurg5FRcVSv8b8ICIkJCTgxYsXCAgIgEgkQmpqKvT19REVFYWhQ4fijz/+gL+/PwBgxYoVMDAwQJ8+ffg+KL/Vt4SEBBgYGAD4tjpbt27dPPNOnjwZ58+fx+3bt/n+jg3JioesrCw8ffoUKioqaN26NZSVleUtUokheWYK820SiUQIDAyEu7s75s+fDwB4//496tevX+j2T506BScnJwwdOhRWVlY4f/489u/fDwsLCwwdOhTKysrQ0NBAv379ULlyZSgrK0NFRQVpaWlwcnJC7dq10adPH6ioqAAAHBwcMH/+fFSuXBnHjh1Du3btCi0T49eFKbaMApGcnIxVq1bh3LlzWLVqFZYuXQo1NbVSaTsqKgr16tXjB1+WlpaYOXMm1NTUYG5ujiZNmkBfX79ICsePCA8Ph62tLa8I37x5E+/evUN6ejpMTEz4DvfOnTuoVq0aevfujSpVqsDQ0BBt2rRBly5dZOokIvj5+cHPzw/nzp2DlZUVOnfuDDs7O7i6uiI8PDxfmYyNjZGUlISsrCzMmzcPhw4d+uF1eHp6QiAQQE1NDa1atYKSkhKIiB+gTZ48GRYWFtDX14eioiIaNWqExMREJCcn49GjRzAzM4OpqSmaN2+ep1leaGgoiEhmICcUCnHjxg3cvHkT165dkzrXq1cvuLi44MGDBzh16hQuXbqUa91z5szB6tWrUb16dfj7+0spuSoqKggKCuLNfiVkZGTgt99+g5ubGwwMDBAfH//D+/Qjbty4geHDhxe6XHp6OrS0tKSOFabrlfwOPXr0gIaGRq55IiIieDPn9evXIzo6Gn///bdUnsuXL2Ps2LGFlL5swHEcXr9+jdWrV+PevXtS5zp37gwPDw85SfZj5K3YCgQCODs7Y9euXXj8+DEUFRVRqVIliMVijBkzBgMHDoSmpiZat26N6tWrF6rudevWYfPmzXmed3d3z7UfLCmICCEhIVBUVETNmjWLpFi/f/+e7+eqVauG/fv3Y9GiRYiKioKmpibU1NSgp6eHatWqoW7dumjSpAlGjhwJU1NTAP9TMFq2bImxY8di1qxZMu8/AKSmpqJJkyYwNjbG06dPoaGhgaCgoJ/arsD4H0KhEM+fP4dIJEK7du14xYkhzdGjR2FjYwMVFRW0a9cORkZG2LBhA27fvg07OztYWVkhMzMTmZmZMDY2RsuWLZGdnQ2BQIBq1aph3Lhx+davrq4OjuOkJrW/R1lZGf369UPNmjVRvXp1dO/eHSdOnMDly5dhbW2Nv/76K9ctRgyGDHJZJ2aUK27evEkmJibUs2dP+vDhQ6m0KXHhf/DgQd5EZeDAgfTx48cyEeD8e/Om9+/f0/Dhw0lfX1/KrG3Tpk28CeyxY8eobt26UiZAOZOlpSVZW1vTrl27KCAggLKysujJkyc0aNAgGj16NO3atYt8fHyI4ziyt7fP15xu4MCBtHLlSrKysiJ9fX06dOgQLVmyhBQVFenKlSv8Pfy+nL6+Punp6RXYm69YLKYnT55I1WFjYyPlufH78D+SNHXqVDp69CitWLGCP/a9F8jvExFRQEBArufMzMxow4YNucZ2zZnv2rVrtHHjRurevTt/bNq0abRp0yYp79B5pblz5xb6efn+HpmZmRW6vJ+fX755cpp7N27cmPr27cv/L3HsNnny5ELLXhbIysqigQMHyvwWR44ckesWgYIiD1Pkd+/ekbW1NXl7e/NbLoyMjGj16tUUHR1NqampFBER8dPtcBxHz58/p8uXL9OmTZto27ZtMk6U6tevTw0aNKABAwbQpEmTaOXKlSXyLfk+PmzDhg352NXfIxQK891WIRQK6fnz57Ro0SJat24dLVu2jL+WZcuW0fjx46lt27ZUvXp1qeucN28ebx5ft25dXg4vL69c25GE5xo9ejQB3xy9STwhr1ixgrZv30779++nhw8fFss9+tUQiUT09OlTcnNzK7BJ+a9Ieno6bdmyhUaNGkVmZmZSof/atGlD3bt3p379+vFjHGVlZT7WsiSpqqrm+s3U1NSkrVu30sOHD+n+/fvk5OREtra2dPXqVTp+/Dg9fvyY1q5dSx06dKCmTZtKOeRq3749WVlZUZUqVcqUQ1JG2YUptow8iYiIoP79+/OdV0m4mec4jlxcXKhv377UqVMnateuHdWrV4/vVCtVqkRjxoz5oee/sgTHcVLeFXV0dKhz5878/wsXLiR7e3t68eIFDR06lDZt2lSkQd7evXvJxsaG3wc0Y8YMunTpktTHOy0tjezs7GjlypVSH6ofpV27dvF1SPb3xsbG0suXL+nAgQPUp08fMjc3l/GE/X2aMmWK1LXnlyThWr73AilJe/bskbrHr169yrMuieIuEomkvEN/7wl748aN/Ln09HSpUB2SJIk7mTNt2bKlwL9TYGCgTPnff/+9wOW/fv1K9vb2Bdrj++XLF2rQoAGZm5tTt27daPTo0XT8+HG+3bzi9ZY1RCIRJSQkUExMDM2aNYuXv1GjRrRt2zby9fUtExNcBaU0FduMjAxq0aJFru/F3bt3S0UGIqLMzEy6cOECrV27loYPH06DBw+mJk2akLGxMe/Nt1WrVjR16lTy8fEpUJ0ikYif3Mzt95d4Tv++r8u5vz4sLIz69+/Pn8s5iZeYmEhJSUmUlpZG1tbWBHyLKaqvr083b96kOnXqEAC6d++eVLvBwcG0a9cu6tmzp4xCnzOMWbt27SggIEBGbskzntee5pxp06ZN5erZLwuIxWJ6/vw5ubi4UEZGhrzFKfNkZWXR7t27ydTUlLZu3Sp1TiwW8xP7YrGYPDw86O7du5SRkUEcx9Hp06epTp06pK2tLfPsGhgYFKj9mJgY8vb2pjt37tAff/xBPXr0oJ49e5Kmpib169evWCbkGBUXptgyZBCLxXT48GFSV1eX6pwOHTpUbG0kJCRQly5deKW5efPmNGbMGBowYADNmjWLNmzYQHfu3CnXHVhCQgJdunSJJk6cSA0bNqRatWqRu7t7qbWfkpJCzs7OUkpAREQEP8DU0tLiYypK0uLFiwkA7yjjZ1O9evWkVrEvXrzI//3HH3+Qrq4uKSgoEADS0tKijh07kqamZq51fe+0I+e53r17SymQV65ckXJMBYB69OjB34eTJ09S/fr1+dXzxo0b8/enadOmfBmibw6ZcpNn7dq19ObNmx8OMnOGAtq3b1+hfkOO48jDw4Pevn1bqHK5rW4WRhkvTdLT08nNzY0cHBzI2tqahg4dmuv93r9/f5Ecl5UFSkux9fb2pnHjxkndt+rVq5OKigqNGDGizNy/jIwMOnXqFPXo0YOMjY0JAPXp04dcXV3zfZ9yOpkBvlmYDB06lH8/MjIyaM2aNaSoqCilzNvZ2dHs2bP5FdTvU48ePX7Yl1lbW9O6desIAEVFReUpY3p6Ojk4ONC2bdukQpLlTN+TM/7098nQ0FDKUR7wbYKnsM7wfnU4jqPXr1/T3bt3K0ws2LKMQCCgBw8e0NChQ/lxZM2aNYtcX3JyMh06dIjatWtH6urqfMg3BuN7mGLLkMLf35+aN29O6urqNGvWLClvpEDxxeS8fv26VL1sFrV4SUpKIkdHRwoMDMx1oCgSiWSUH11dXbp06RJ17NiRatSoQXp6emRmZka1atWifv36kbm5OVlaWhZKseU4jjIzM8nJyYlu375N06dPJwB0+fLlfMs1bdqUdHR0+P+3bdsmcx2Sj2W7du34+Lx5pe+RHJ87dy7dvXuXjzdpZWXFn7tw4UKeZuM5049WQYVCIS1atIhX8Js2bUo7d+6ksWPH/tDkOzo6mhwdHXONh5kXNjY2Usr3ggUL6OzZs2XCw6Svry/Nnj2b2rdvT02bNiVzc3OZ+6mvr0+DBw+mNWvW0O3bt+nBgwflfoWqNBTbO3fu5Pp8Tp8+vUwPAAUCAV28eJGfUFJVVSUDAwOaOXOmjIXFu3fvpK5typQpVKtWLQJAM2bMoKSkJCL69s6FhobS7du3pSaq5syZQ7du3aKEhIRcLUNOnjxJhw4doq1bt9K2bdv4mL0mJiakra1NFy9epJCQkEJdX3x8PM2bN4+fsOvTp0+eee/evcvLIll93rt3LxERRUZGUteuXfnzN2/eLNyNZhDHceTn50dOTk6UkpIib3EYRUAkEtHixYupSpUq1LRp01wtIBi/NkyxZRDRt4HA5s2bSVlZmerWrSu1QpSVlSX18Z8wYUKxtGlnZ8fXWaNGjWKpk/E/pTY/9/1hYWG5DoJzrnTklr7fUwOAHBwcSCwW09u3bwmAlEIKgKpUqSL1v2SFFvi21zQpKUlmT17nzp1p9uzZ5OjomK9CxnGc1ORLzhVhANSyZctclSKJgu7t7S11XDLoiYuL4+sYNGiQjHw5k7W1dYF+l7S0NBowYAAB4MOkdOjQId9re/jwIb1//75A9ScnJ1Pt2rXL5GRRdnY2tW3blpetUqVKNHv2bFqyZAmtWbOGzp49SxERERQfHy9vUUuE0lBsvby8yNTUlLp16yb1fJaXkDEcx5GTkxPZ2NiQtbU1GRoa8u/f9++w5NouXbpEzZs35//fsGED+fv702+//cZPSllYWNCkSZMoJiZGps2PHz/S+fPnKSgoqECTJ2/fvqVHjx4V+fp+xKdPn/hrSU5O5v+WKPiJiYm0efNmsrGxKdRkF+N/cBxHAQEBTLkt57x584b69OlDKioqtHnz5jJjjcKQP0yxZZCfnx9ZWVmRhoYGrV+/PtcPcGZmJv+RHTp0KHl6elJ0dPRPm/TkVHJKIgblr0ZiYiI5ODjQu3fvfpj3ypUrNGbMGNLW1iYVFRXS1tam33//nfr3708LFy6kjRs30uPHj2n37t0yylx0dHS+dX/9+pUOHTpEW7Zsofnz59Nff/1Ft2/fpitXrtCGDRtowYIFdOrUqTydWBWWnAqdRDHOSyEWiUS88j148OBc8+R0WpZzxadv375kbW1NM2fOpFGjRhEAWrNmTaFkDQsLI6FQSLdu3SIAVLt2bbp06RJlZ2dLraxFRUWRk5NTgT7YHMfxe4H79euXb6zb0iY2NpZ3XlSrVi0KDw+Xt0ilTmnusU1LS+Of18OHD5dKmyVBWloa/33o1q0bf/z7mNjAN+c258+fp4yMDBo0aBA/wVbc91wgEJC9vX2JTRa0b9+evyYXFxf+7y9fvpRIe78qHMdRYGAgOTk5UXJysrzFYRQRjuNo/fr1pKGhQY0aNSqzscIZpQtTbH9hcq7S1q9fP08Tq+jo6HxX8QwNDQvVrmSmWSgUytS1cePGn76uXxWJUlvQFb7CoKWl9VOK54/4+++/qU+fPnT16tUiebmNiooi4NteWy8vr1wnZxITE2n8+PFS15GX8hsbG0tGRkZkaGhI/fv3p/379/P31cvLS6qOp0+fFlpeom/P/4gRI2TeAcme6AcPHhTYqVhqauoPr0kenD17lperVatWZUq20qS0FNsLFy5ITe6UlX2YX758oZUrV5K9vX2hzKKzs7P565FMiIjFYimHdA0bNiTgmwdiiUWEpC8oCYKCgujRo0fFbh6flJQktULbpEkTAr75ImCUDG/fviVHR0em3JZzQkJCqH79+qSsrMxWbxlMsf1V8fX1JUtLS1JTU6OZM2fm+ZH+fhAPfNtT2LNnTynPm3kpIyKRiN6+fUvHjx+nVatWUadOnfgyb9++JX9/f6nBiK+vb0ledoVFotSWVDgmyX6vxo0bl0nTxnfv3knt1+zVqxd5eXnRX3/9RXPnzqU+ffqQkpISAd/2Ent6ehZqgC0Wi+nff/+Ven6XLl2a7weU4zhatWoVdevWLd99uF5eXlS1alW+Xhsbm0Kt1hIRPX36lC8vb/M6oVBIL1++pLFjx/IyOTg4FJvp5IMHD6TqLQi7d+8mc3NzatCggVzMnUtDsX39+jX/jhbVXLakmDBhgtQ3xMzMjAYPHkxHjx6lCxcukK+vr4wSLhQK6ejRo3wZZ2dnmjRpEnXt2pVWrFjBW2mMHj2anJ2dqW/fvmRubk7NmjWjDRs2lJgpvkAgIAcHh2LtB3N6Z/8+XblypdjaYcjClNuKQc7VWysrqx+Gx2NUXJhi+4shFApp06ZNpKysLBUSIbfYn0REBw4c4PM0adKEX3ERCoVS+xmXLFlCRP+La7pjxw4aOHCglEfc72O8mpmZ0aRJk2TqYBSOpKSkElVqywM/ckbVvXt3OnToUJHMYBMTE/mwRmpqajRnzhyKi4vLt4xYLJYx4e7Xr1+u75mJiYlUvoiICHrw4AEFBwcXWEbJSp2jo2Ohr684uXfvntS16OnpFatZdG5xjqdOnUocx9GaNWtowoQJZGxsTIaGhlSrVi2ysLDINfRNzZo1S3X1uKQV25z7Me3t7X+6Po7jKCUlhUQiUbGsTH78+FHmN5A4fZIkZWVl6tWrFw0bNow6dOhAOjo6pKCgQP369aMBAwaQoqIiVatWjV/JlCR5mB8GBQWRh4dHsdWX23YPSV/AKHmCgoLI0dFR7pOCjJ8nNDSUzM3NSVlZmTZu3MhWb39BmGL7C/Hu3Ttq0qSJTOxRPT096tu3b54mlUlJSfT06VN69OgR/f3337RgwQIZb6ZXr16V+l9RUZGaNWtGc+fOpStXrvAf6KtXr1LNmjWpcePGNHToUGrZsiV16dKFXF1dS/NWVBiSk5PJ0dGxRMyPywMxMTG0bds2mQGhZHUWAH369KlAdQkEAplVI4FAQPHx8XxdgYGBP6znzZs3UrLcunWLD1x/7NgxPs+ff/4pNaj39/cnoVDIe0IuzAdZsmJ75syZApcpChzH0du3b8nNzY3GjRtHHTt2JHNzcylPzABo3rx5FBwcXKDYuwVB4phMkqpVq0Y7d+7k/x85cqTUeWtra/rzzz9p0aJF9Mcff9Dvv/9OHz58IDc3Nz6PgYEBXb9+vVQU3JJWbCdOnEgAaOLEiT99PVeuXJFROM3MzGjhwoV5mvkXBKFQSDdv3uT3kQ4YMIDCwsLIz8+Pbty4QStXriQrKysyNjamJk2a0JgxY2jixIlUuXJl0tXVpV27dvGrsGlpaXT69Gl69uzZT11rUZHstf3RBFdhSEhIoKSkJPLy8iJbW1umZJUykj23ZcV8n1F0OI6jLVu2UPXq1alx48YF8jnCqDgwxfYXgOM4Onz4MKmoqPzQ6+335jg5vcNKUuXKlWnw4MHk6urKr0CZmZnx59u3b1+mnNdUVFJSUsjJyanQMU4rCj4+Pvk+y5KJlR/BcZyMcixRjL9/X34U2odIOiTJ0qVL+TY6duxIlStXJj8/P6l6e/XqxTuHkcStLexExdevX/n6bG1tC1W2MCxcuDDXSYR69epR48aNafPmzSViqp7TJDVnGjlyJNWpU4fMzc2pTZs29OrVqx+GYwkJCZFy0lMaylFJK7aSa/lZXF1dCQC1bduWtmzZQkuWLKG5c+fS6NGj+Tbs7Ox+qg1bW1v+uZHg7+9Pa9asocjISH5CJ+dkaXEqkMVFYGDgD8N1McoPHMeRv78/OTs7szi3FYSgoCBq3bo1qaio0OHDh8t92DhGwWCKbQXny5cv1KNHD37F6M8//6T4+Hg6fvw47d27lwIDA/nBg4WFBV/O2dmZZs2axZ/r168fubm5UUZGRq575YKDg/m8eYUDio6Opps3b9Lp06dp1qxZ9OLFixK77opOWloaOTs7U0BAwC/ZWT9+/FhGyXFzc6M9e/ZQq1at+GMNGjSgN2/e5FnPw4cPpeoYMGAA1a5dm1q1asV7QN6zZw/9/fff9Pz58wLfa7FYTMOGDSMANHnyZHr+/Dnt2LFDqq0WLVrIrK7FxsYWeT/qmTNnCPgWz7O4CQ0NJT09PV72oKCgUp284jhOJoxNbhNxBeXt27dUq1YtUlZWLrZV5fwoKcU2NDSUTE1NCfgWG/pnkdzX3LyeS2Ko5heiqiDkDGnj5+dHHMdJ/aYGBga0cOFCqa0u9erVK3OhoLKzs8nOzq7MycUoOhzHka+vL927dy/P7VmM8oFAICBfX18KCgqipk2bkqqqKnXr1o15GP8FYIptBebq1aukr69PI0aMoAsXLuRqoiYWi6UGFbt27aI6derw/48dO5bu37//w7asrKz4MjNnzqSuXbtSjRo1CPi2t1YS7iNnGj16dElcdoUnPT2d7t69yw8KfyXi4uKoZ8+eMs/ShQsXpPLFx8dThw4dCMh/P6Wk/JYtW8jf359OnDhB48aNoxo1alDz5s15p1m6urqF9tbs7u7O19+mTRsSiUTk5uZG3bt3pz/++CNX5eHx48dFXoFfvXo1AcWzx/J75s+fTwBo+/btchvwbd26VeZ3L6xS8enTJ6lQTqW1r7+4FVuBQEDbt2/nr2P79u0/3RckJibmuvIbHh5Oc+bM4c+5u7v/VDtEROfOnePr8/b2ztfyQpLKojmhv78/PXnyRN5iMIoRjuPIx8eHXFxcKDMzU97iMIpITv8wkqSsrEz6+vp09epVeYvHKEGYYlsBSUxMpAkTJpC+vj5du3atQGVyxpOVpIJ6HCUiunbtGnXu3Jk6depENWrUoP79+0vte+vfv79U3fv37y9SWJdfnczMTHJxcSEfH58Kr9RmZWWRg4MDTZkyhd8zKXl+ck6k5DQPDg0NpbVr19LMmTPpw4cPvOdUMzMzGU+xHMeRioqK1HNZqVIlMjY2znVg7ebmVuhrSE9P58v/6PeKj48nOzu7Ir8XBgYGBIDWrVtXpPJ5ERkZyV9Daaxu/gg/Pz9enoI4fMnIyKAhQ4aQoaGh1O9ZnM5/fkRxK7bLly8n4JsDpuKyfMk5ySnxGP7161eqW7cubwlQnH2OsrIy317z5s1l3jd7e3tasmQJLV68uMw6UcrMzKQ7d+4wj7oVDI7j6OXLl+Tq6srGKeWUtLQ0GceBFhYWtHLlStLR0aGxY8dSYmKivMVklABMsa1gPHr0iGrWrEn9+/enyMjIApfLzs6mJ0+e8HsNe/bsSUuXLqU9e/b8VMcuEokoKCiI1qxZw3cuSUlJRa7vVyY7O5vc3NzoxYsXFVqpzc7Oprt37+aqXLZs2VImpm5iYiIFBgbSpk2bfrjqc/fuXb6djx8/kp6eHmlpadGECRPozp07/LOZlZXFrwa+fPmSL29paSnzXp06dYq6detGGzduzNXMSaIo/8jLsbe390+FKFi6dCkBoNatWxe5ju/JaQIsb4/LEkaNGiXzuxoaGtLDhw8pJSWFOI6jT58+0YABA6hhw4b8NgxTU1OaMWMG3b17t8RCweRFcSi2tra2dPfuXfL29iZlZWWaOHFisfSlAQEBtGrVKqpSpQoB/9tDe+vWLTI1NaUqVaqQh4dHocJjFQSO4+j169d05swZqT3PknTr1q1iba+k8PHxYdtqKiBisZiePn1KDx8+LLZQZYzSJzExka5evUonT56kpk2bEgDq0aMHtWzZkkxMTMpcaDTGz8MU2wqCUCikdevWkYaGBh08eLBIis/s2bPzVAjy8ywbGRlJe/fupbNnz1JUVBRdu3aNevfuTTo6OlSzZk0CQCoqKrRq1SrmcbCICIVCcnd3p6dPnxb7ALMskZiYyDtuMjY2pj///JMyMzMpNDSUEhMTpZTM3FZvhw0bRrdv35bx2p3zOc5Zh46ODq+w5sehQ4f4MkePHpU6J/lYStKqVav4c69eveIVhocPH+ZZf0pKCt25c+enFC5JHNPvTUmLyv379/lVzoEDBxZLncXBf//9R2PGjKGRI0fmOpmRM6xY06ZNacaMGbR161a5yvyziq2np6fUNVavXv2nlfOsrCyp8ElKSkp06NAhysrKov379/PHi8P0uCC8fv2ajh07RsuWLaN79+6VSpvFQVpaGt25c4ftyayAiEQi8vT0pMePH5dqeDBGySAQCOj+/ftkZmZGOjo6NGrUKFJXV6d169axsEAVCKbYVgDCwsKoQ4cOZGlpma+jnB+xZMkSmYGhJOU2MHz69Cm1b99expwT+OaRdtGiRWRjY0P79u2j0NDQn7nEX5qK/nF9/vw5rVq1io4cOcLvnx07dmyekzNeXl4UExMjpdC2bNmStmzZQj179qRevXrxCuiOHTtoz5499PbtW76+nKvBrVu3JnV1ddq1a5dUG7m1raGhQQAoPDyc3r17x++/+ueff3JVonOuLA8bNixfy4dXr17Rq1evinoLeZklsUFtbGyKXE9qaqqUU60VK1aU6b1mkhXa/fv304IFC2jmzJk0depUcnV1LTODlaIqtn/99Re1adOGAFCjRo3o7du3dOnSJXr9+vVPy7Rq1SoCvjlYe/z4Ma+YTZkyhQBQp06dysz9K+s8f/78p769jLLLrzKp/CuRkJBAc+bM4ce6+vr61K5dOwoLC5O3aIxigCm25ZzLly+Tjo4OzZ49u1hnjM+dO0dTp04lZ2dncnJykurQ3717J7WCtX79egoODiZra2tauXIlubu7V2hT2dKE4zjy9vaukOZQmZmZMvFPJaGkChJuwcPDg/766y86f/58rorl4MGDiYj4uLASa4HAwEAaO3YsGRkZ0YABA+jRo0ckFotJLBbzq57KysoyZp45V7ckydPTkziOo127duVp7aCsrJzvdWRkZNCdO3eKJW5lzjitRSE7O5t0dXXLnTloacBxHCUmJhapbyusYvv161caMGAA//zUr1+fvLy8Ct1ubgiFQlq8eDEBoM2bN0tdz4MHD/iVbrZvtOAkJSWRnZ1dmdiDzih+fpVtQPLi3bt3pK+vT1WqVCELCwtq0aIFbd68uUTGPBkZGbRy5Urq06cPrVy5kndsqqSkRJqamsXiXZ4hX5hiW05JSUmh33//nQwMDOj27dul0mZkZKSUQyg9PT0Wx68EkXhnvH//foVyYJGenk6bN2+WUv5GjRpFjx49KtIK0dChQ2VWSpcuXUpZWVk0ZMgQ/rjkQ5aXAppb2rhxI99ORkYGNW/enNq3by9jfmxkZES7d+/m//f19eVXT9u3b5+v/P7+/uTt7V3o686NtLQ0XoaixLONiIjgV2nz237wK5LTPDfnc1EQCqPYHjlyhG+nQ4cOxb5aLpmUtLKykhk4hoSEFKs5+6+Ep6fnLxtT/FcgMzOT7t27V6LxqH9VPn78mOv398CBA8XazrVr16TqNzU1JU1NTaljenp6NHny5GKZaGbIB/b1Koe8evWK6tevTz169CgVb5F+fn40cOBAUldXJyMjIzp27BiLBVYKvH37lpydnSvU3q179+7xHxBzc3M6e/bsT9dpa2tLampqNH78eLp06RI/o75lyxapD9bIkSN506Pw8HDiOI6ePHlCw4cPpxEjRpCxsTHNnDmT/vnnH+rRowdfbuLEibnO0j969IgPafV9ateuHfXu3fuHISMEAgHZ29sXayzMGzduEADauXNnocvu27ePANCzZ8+KTZ6Kwrx58/jf9+TJk4UqW1DFViAQUPXq1alq1apSz3Jx0rJlSwJAISEhuZ6XXOPjx4+Lve2KTExMDDk6OlbI7SKMb6SmppKjoyN9+PBB3qKUGxwcHMjGxoZsbGxozJgx1Lt3b5o0aRIdOHBA6j7mDF8mScU1zvzy5Qvvu0OSJFsHJN/g48ePk7OzMwUGBlLTpk3JzMzsp7cHMeQDU2zLERzH0ZEjR0hDQ4O2bNlSKvs9wsLC+I5g+fLlpRqMPiYmhjw9PSuUYldQwsLCyMHBocKYA4rFYn6vIACaNWtWibcp8fAtUTRTUlIIAE2fPr1A5XM++4GBgfnmDQ8PpwEDBvD7eyXpRzEuP3z4UOzOeTiO49svTOzP58+f8+WY53JZxGIxGRkZkbq6eqFN5Aqq2F69elVq0FUSKCoq5rsie+vWLbZqWwQ4jiM3Nze2T6+Ck5iYSPb29vT582d5i1LmuX79Ot+XNG7cmLp3705Dhw7lQ9PltCzq27evjGJbtWrVIoXZ+56cdY4fP/6HjvcEAgHNmDGD1NXV6ejRo8z8vJzBvlzlhKSkJBo5ciSZmJiUmpdKov91CD169CiV9l69ekWTJk2S6eDS0tLo4cOHdPr0adq+fTtNmjSpzIQfKW6+fPlCdnZ29PXrV3mLUizExcVRpUqVCAA1adJEypFTSXPmzBm6e/cuJSQk8N6J165dW+DynTt35p/Bhg0b0rhx4344Wy+Jt2tqakrh4eF55hOLxeTs7Fwi1g+9e/fm5f7rr79IJBLRxYsXaf78+Xw4l5zExcXx+dlqbd7Mnj2bBg8eXOjnt6CKrcRSIK/V1OLgR0prfHw8AaBu3bqVmAwVlc+fP5OLiwsbCFdwYmJiyM7OjqKjo+UtSpkmPDw81/6G4zgpT+979uyRGu+dPn2a9u7dy/+fM0xfYck50VvYb+3Dhw+pWrVqNGrUKDbZW45gim054MWLF1SnTh3q27cvxcbGllq7OWfuBwwYUKJt3b9/n7p27ZqrWeeKFSv4Df7fp+fPn5eoXKXN169fyc7OrlAxiMsy586d43+rqVOnymXAJ/HyCnzzglwYU0F3d3cCQPXr1+frmDNnDgmFQgoLC8vVakIoFFJCQsIP6w4PDy/RQfBvv/3GyyyZWJCkqKgoPl9WVhZt3LiRANCRI0dKRJZfkbS0NDp48CDZ2toWWLGdMWMGASjRSS3JM7Bv375c9+5//vyZz1OQd0UgENC9e/fI1dWV1q5dS+fPn68wliaFRTJZVVH6b0beREREkJ2dXYH6+l8ZSV+Sm8+G4OBgqcljADRv3jwiIrp48SJ/7Pz587nWLfl2xsTE0JQpU2jjxo0UEBBAISEh/Fh52bJlP2WBEhMTQ3369KG6deuyeNXlBKbYlmE4jqODBw+ShoYGbd++vcRMj+Pj42nOnDk0depUatu2LdWvX58uX77Mdwbbtm0jkUhEMTEx5OvrW6x7iOzt7WnEiBFSHVuvXr3o+vXrvLnIrFmz+HPjxo2TUW4lpqVisZgSEhLK7Wx5SkoKOTg4VBhTNolZJQC5rq5LlLafMfHkOI4UFBQIgFQonJs3b0rle//+PX8uv8E9x3H08OHDEl2ZCw0NpSFDhtCyZcvo+PHjdOfOHV7ZNTMz4/OtXbuWgG8eqctyWJ/yxrBhw6Seu4IothJHaIsXLy6x/v7JkydS/WfPnj0pODiYGjRoQGPHjqWoqChSVVXlz+/fv5/vi7Ozsyk4OJjmzZtHjRo1IjU1tVwnHCWrMNeuXfvltpK8e/eO7U/+Rfjw4QM5OTkVyIv/r0jOUHj5edgPDAykfv36UfXq1Sk6OpqePn3Kl1NXV5e6v2lpaRQUFMSfnz17dq79j6KiIq1evZr/f8KECUW+DrFYTNu2bSMNDQ06ePBguR1j/iooEBGBUeZITk7G1KlT4e3tjQsXLqBjx44l1laVKlUgFAqljo0dOxZXrlwBACxZsgQpKSk4efIkAGDFihVYvXp1kdsjIly/fh3//vsvPDw8+OMNGjTAvn374OfnB09PT2hoaODNmzd4+/Ytn6dq1arIzs5GixYtMGTIECxYsAAAoK2tjdTUVACAkZERFBUVERUVhWvXrqFq1aqwsrKCkpJSkWUuabKzs+Hl5YVq1arBwsJC3uL8NLdv34a1tTUAICAgAKampqXSbmJiIhwcHDBs2DBoamoC+Pa87du3Dxs3bsTjx4/RuHHjQtXJcRyqVauGrKwsbN26FZMmTULNmjUBAMHBwTA0NAQR4datW5gyZQpfLjQ0FAYGBnnK+ezZM/To0QPKyspFvNrCQ0SoU6cOEhISAACamppIT09HvXr14O7uDi0trVKTpaJjZGSE7Oxs/Pbbb1i1ahUUFRV/+G5/+vQJTZo0AQBs2bIF8+bNKxHZxGIxfH19MX78eERGRsLY2BjR0dEAgAcPHqBp06ZwcnLChAkT+DKNGjWCv7+/VD1169aFvr4+Bg0aBB0dHVhYWGDp0qVS+Vq3bo379++XyHWURQQCAdzc3NChQwdUrlxZ3uIwShAiQmBgIL5+/Yr27dtDRUVF3iKVKkQEkUiU5zds1qxZuHz5MoBvY9qCIhAIYGhoCACIjo6Guro6wsPDMWLECLx79y7Pci9evEB4eDgUFRXh7OyMo0eP8udu3LiBXr16FViG3Lh//z4mT56Mjh074t9//2XvdxmFKbZlEH9/fwwfPhx16tTB+vXrERsbK2+RGAwGg8FgMBiMX5aUlBTs27cPKSkpsLW1hZWVlbxFYnwHU2zLGJcuXcIff/yBxYsXY926dQC+rRiVNMnJyYiIiJB5SYVCITw8PLBu3Tr4+/tj3LhxOH78eKHqDg8PR6NGjQAAJiYm6N+/P6pUqYK//vpLKp+KigqmTJmCqVOn8isbmZmZeP36NVq0aAE1NbVCtfv161ccPHgQBw4cAACcPHkSo0ePLlQdJQ0R4eXLlxAKhWjTpg0UFRXlLdJPM3HiRNjZ2eHWrVvo0aNHqbXLcRxsbGyQkJCAS5cuwcvLC/Pnz0doaChGjhyJAwcOFGlFMjIyEg0bNsSkSZNw+PBhmfMuLi4YOXIkAODZs2dIT09H9+7dAQBJSUlQUFCQyp+ZmYmHDx+ia9eu0NDQKMKVFg+ZmZnw9/dHs2bNSnXVuKJy9uxZuLq6Yv/+/TIr9QEBAQVasY2JiYG5uTn//9atWzF37lyZfAKBAJ6enhg6dCgAYNq0adi7d2+hZdbT0wPHcTh27BjGjx+fa543b94gOzsb169fx99//y11rmHDhhAIBAgJCeGPDRgwAAcOHICBgUGF6M+KQmpqKh4/foyePXv+cqt4vyIikQje3t7Q0NBAs2bNZPr8skxaWhr69++P0NBQZGZmQiwWF6r8tGnTcO/ePcTExEBfX5+3/Dh+/DiaNWuG06dP89Z+AFC5cmWEhobm+81Zs2YNDh06BEB6pbd169Z4//49evXqhd9//x07duzA2LFjMXv27FK1yBOLxVi/fj2OHj2KEydOYNy4caXWNqMAyMUAmiFDdnY2zZs3j/T09MjBwUHe4vDk9Gqno6MjtYfh4MGDNGPGDNq6dSuNGDGCXFxccq1j8+bNfJlr164Rx3EUHBxMzZs3J11dXVq4cCE5OTmVyP4+gUBAa9as4dt3cnIq9jZ+Bl9fX7p//36uTlzKI0KhkL/X06ZNo6VLl8pFjt27d/NyFMYLcm5I9qUqKChIhSlyd3eniRMn8u3Y29vze2/q1atHAOjGjRsy9fn7+5O3t/dPycQoG0j2wSYlJfHPwZAhQ2TyFXSPrVgspqlTp0p5B/2enGGZcu5xLeie3IyMDFq4cKFUf55X/5ORkSGzd23Xrl259tVBQUHk4ODwy+2pzQtPT08KCgqStxiMUiIrK4vu3bv3w9BwZY3Xr1/z7/bff/9NT548odu3b9Ply5fJ19eXzp8/T9ra2tS8eXP6888/SUtLi+rVq0fr1q3j981yHEdisZhSU1Pz3HMvCfEzYMCAH4ZLyxnTNic5PRznTLn1uaWBvb096erq0rx58yrMGK4iwBTbMkBERAS1b9+emjVrVqLOZIrC3Llz+c5DMljPK02ePFmqbFJSEk2YMEEmX14e7koSSexGAHT8+HGKi4srdRm+JywsjBwdHSuU4wmxWCzze5c2Ob265qZYFpbVq1dLeRVes2YNjR8/nv9/ypQpMiFyJE6kvleqRSIROTo6lqp3c0bx8eTJE1JVVaW1a9dSUFAQqaqqkra2ttTz/vfff8uUK6hiS0S0b98+vq5Lly7xkyUcx9G6dev4cxMnTiQvLy9q1qwZAQUPifHXX3/xdXTs2FHKQ/b3HDt2TOZ9fvDgQYHa+dWJiooiZ2fnUok3zygbJCcnl7sYtznDKxYHd+/epUaNGhHwLZpAr169KDQ0tFB15FSQv8fExIQAUI0aNaT6QnkREhJCTZs2pQ4dOlBERITc5GD8D6bYypkHDx6QkZER/f777z8MGi0PUlNT6d69e3Tjxg1+ls3Y2JgAUPfu3QkAKSkp0Z49e0goFFJkZCQdPnyY+vXrR8rKylLeNSXp9u3bpX4dMTExUjLMnDmz1GX4Xp6KFKs2J2KxmDIzM2ngwIHUu3fvUm9fJBJR3bp1pSYyioPTp09LPUOtWrXKc+VVJBIR8C2kSk4+ffpErq6uzKtiOWTXrl38bz9q1ChatWoVAd/CkeV8LnJbpSuMYstxHF83ADI0NKRBgwZJDeRyevf28vLij6ekpPyw/jZt2hAAev/+vVSbuaGrq5vrJGbv3r3zjdHM+HZP7969WyJxqhlll/L0bc+5Anrp0iV5i0NE36zscn6/v+f+/fv8uSNHjtC0adMoNTVVDpL+j4yMDBo/fjwZGBiwib8yAFNs5UTOUD7Hjx8vVwPdyMhI6tWrFykoKNDKlSspJSWF/vnnH2rcuDHf4aiqqkqtkgKgQYMG0T///COXa825kjh16lSKj48njuMoNja21OWRhPXJLa5bRUEgEBAAsrGxKfG2OI4jDw8PmTBJBw8eJAD022+/FVtbycnJ5O3tTYmJifnmy2ma+vLlS17OBw8eFHr2miF/Hj58SIaGhvxvWrVqVV7Bu3btmtRkx6FDh8jW1lZqsFUYxVZCQkICDRs2jBo3bkxKSkoEgLp168bHzfT19aULFy5QZGQkDRkyhABQ165df1jvmDFjqHLlysRxHCUmJlK1atUIAN25c0cm7/HjxwkAGRkZ0cuXLykmJoaPN/69lQJDlvfv37PQP78goaGh5OjoWC7M8iV916ZNm+QtCr1580ZqzHjt2rVc83Xs2FEqn5WVFQUHB5eytNKIRCJatWoVqamp0YEDB8rVmL6iwRRbOZCVlUVTp06lqlWrkqen50/XJxQK6e7duyU+Q3jlyhXq1q0bKSgokLGxMV25coXGjx/Pr8rWrFkzX1NleZJTsc3IyCA7Ozvq06cPAaAePXqUmhzZ2dnk4uJS6EFueUMSZ65Nmzbk6upKR44coTVr1pBQKCyxtgYPHixzzszMjJYvX17sbRYEU1NTAkD//fcfEX2LF21vb//D/UWMsofE3DenBcq0adMoNDSUzp49yx+rUaMGqaioEABatWoVX74oim1OcpqzchxHf//9N99mt27dpFZefrRqm7M/Pnr0KP//6NGjpfL5+vrK9OErV66kJUuWEAC6f/9+ka/nVyE7O5vu3LmTb0xrRsXkzZs35OrqWqb7+7S0NP7djomJkbc4FBERwctz8uTJfPO6urpStWrVpHwFlIUtZteuXSNDQ0OaOnUqZWVlyVucXxKm2JYykZGR1K5dO2rdunWxmXJNnz6dANDChQuLpb6cJCcn09OnT+n333/nOw9LS0vq168f6ejokJ6eHtnY2EgNtIyNjUlFRYUMDQ2pZcuWtGHDBrnPXP7555+8fHXq1JEarF24cKFUZBCLxfT48WN6+vRphZ/NyxkY/fvUt29funz5crHsPYuKiqLdu3fT0aNHZfanZ2VlUaVKlejEiRM/3U5RyOksg4jo5cuXUiakjPLDwIEDZZ7jv/76iz+fnJxM8fHxRETk5uYmY9r3s4ot0TclafDgwTJyqKqqEhGRjY0Nfyw/Rya1a9cmALR+/XqaP38+X2bjxo1S+ST+FRwcHPg948C3rSe6urol4uyvIvLy5Uvy8fGRtxiMUkYsFpOXl1eZ/t6XlYWHnJw5c4aXqaBjBIl1Vrdu3cqE867w8HBq1aoVtW/fniIjI+Utzi9H2XmafwG8vb3JxMSEJk2aVGyDAo7jaPLkydSxY8dimxVOTEykM2fO0IABA3gTuO+TtrY2WVtb0+fPn2nt2rVS51q2bEmLFi0qUwOfxYsXy1yDiYlJqSoavr6+ZX4Gt7i4efMm9e/fn1auXEl2dnaUnJwss9+6cePGP/3BX7p0KQGgBg0ayDxvkpUlDw+Pn2qjqEiuc/369WzlpgIgFotJKBTyjlHOnDkjk8fDw4P/3XM6ZSoOxVayx1tLS4tmzpwptbrx7t07IiJq3bo1ASBNTc1c6/j06RNfZt68eRQZGUn9+vWj6dOnS70/kkmh+fPn88fev39P48ePpzp16tCOHTt+6lp+JSSWGiVhrcIo20gstMqCspUbkr6gLI3VVq5cyctVmPGBm5sb6evrEwCaP3++3N+3jIwMmjhxIpmYmLAoCKUMU2xLiXPnzpGGhgbt3bu3WGfvcm6k/9kXOS0tjaZOncp7gM3pCVayEnv06FHy8vLir+H8+fP8+TVr1pTZmUmJw6ucqTSdJXz69IkcHBwqlAfkosBxHL148YL/DbZv317kul6+fCn1ew4fPpw/FxgYSADIwsJCLm74ExMTCQAdO3aMiIiCg4PlpmAziheJWfK2bdtkznXq1IkA0L1796SOF4diO2LECBmTwdmzZxMAGjt2LBERxcbG8pN2EpKSkmj//v107do1KacsT58+zbOtDx8+EADq3LnzT8nM+N/e+o8fP8pbFIYckHhKLotOxMqiYpszxFhhVztnzZrFl+3Tp4/cJ5I5jqM9e/aQhoZGrhOhjJKBKbYljEgkoiVLlpCenp7MYKc4KOr+WonDHcnAKL+koaFBb968yVVpTU9Ppxs3bpR5D4C+vr40fPhwGj16NAGgDh06lNqMXkJCAtnZ2ZWJPSxlhaioKKlnrCjOFqZNmyZVx4YNG4iIyNnZmT/m7u5eEuL/EMm+X+Cbk5379++XqxAQjNzJGYZi7ty5lJiYKBWOR3KuXbt2Us5MikOxlcS3lSikOVdfbWxsyMjIiP9/yZIlfLn+/fvLWKq0bNnyh+9bWTNRLM+EhYXRw4cP5S0GQ05ERkbylktlhbCwsDKp2BJJe3ovzLjg+75u1KhRJShlwTl37hxpaWnR4sWLSSQSyVucCg/7apUgaWlpNGTIEDI3N5cKrSBPMjIy6OLFi7xXz7xSu3btaO/evXT37t0KYzqbM1xLSUwy5EZmZiY5OzvThw8fSqW98oRkBSpnkjh/4Djuh8+do6MjX+7PP/+k6OhoGjRoEH/s9evXpXAVucNxHFWuXJmAbx4bbW1t2QetAhAcHCzzzOa0Ojhz5gyZm5vz5yR+FIpDsZVY5xgYGBDHcbR//36+HYnjvhYtWhAAGjlyJL1//57f7zt69Gj69OkT+fr6FnigKInPK+9QGhUBgUBAdnZ2P/Smzqi4BAUF0b179+RiQfQ9OZ1G6ejoyFucXJH4DOjRo0eBnTDlnDDfunUrH5EgL0rTwtDT05NMTU1p8ODBv7zlXknDFNsSIiIigpo3b07du3fnnYrIg+TkZPL396f79+9Tly5d8lRkK1euTAMHDqRHjx5VyCDTWVlZ/LXevn2bevToQQDo5s2bJdamWCwmDw8PevHiRZk10S4LxMfH5zvJoqSkRG/fvs21bHp6Ojk4OPDhTiSD+9jY2FK+ClnEYjFt2rSJFi1aRFOmTKFevXpRQECAvMViFAIXFxfq2rUr1alTh9q2bUu//fab1LMGgHbu3ClTTuJtWLIXtTgU25ye3SXhrSR7an+U8np/ciM5OZnc3d35shVlYlPevH79Wq6TbQz5wnEceXt7k6enp1zHA0KhkIYPH86/3zExMfTixQtavnw57du3r0xNwPbt25cA0OTJkwtcZuvWrQR8Cy+Z3/dWEp6yRo0apWYmHhcXR926daMWLVpUyHF2WYEptiXAq1evyMTEhKZMmSKX2TmBQECXL1+mBg0a5DnQmTJlCrm7u9O8efOkjlfUlcWcTl2+94p88eLFEmnTz8+P3Nzc5O7EoLywY8cOql27Nk2bNo3mzp1LlpaW/G908OBBqbxXr14la2trKVf/LVu2LHNOOsLCwuj69et86B8A1KlTJ1q3bl2ZN9//1fH09OR/M11dXZoyZYqUd2TJ6qiWlhb179+fVq9ezZdNSEjg8yUlJRWLYktEdOnSJQK+xZzNaYGSM5mamlJQUBCdPn2a9u/fn2scVY7jyMvLi6ysrKhOnTo0YcIEfg/4ggULpL4TjOIhISGBOZH6xREIBOTi4lKoiabi5vnz5/z7PXPmTGrYsKFU/1GvXr0yE6YmLS2NrKysSEFBgf7+++8CTwjY29uTpqYmAd+81+dWbs2aNVLXvWLFCpo8eTJpa2sXSxjOvMjOzqbff/+dqlevzia6Sgim2BYzd+7cIW1tbdq+fXupzspJ2pI4D8ktbdq0icLDw2U6rS9fvpCrqysFBQWVmrylTXp6OjVr1oyqVq1KLVq0ID8/PzI0NCRAej9acfHlyxeyt7dnZnw/gb+/PykpKZGWlpZUaCyRSETa2tqkqalJ48ePp6NHj1JSUpIcJc2bkJAQfp/vnDlzePNOAHTq1Ck5S8fIjdjYWIqNjaUNGzYQACnPwERER44cIQB82JycSdK3chxHvXr14o+fOHGiWBTbnA7Tbty4IaV4S/6uXr06NWnShDeDz0lSUhLvGCq31K9fPwK++SC4f/8+W60tRjiOIzc3N/r06ZO8RWHIkeTkZLKzs6Po6Gi5tC8UCql58+Yy776Wlhb/96tXr4iIKCUlhT58+EAuLi4y49n379/TxYsXpby/lwQikYg3SzYxMaEXL17kmz8jI0OqPwTyjombkZHB9/MAqFq1avzfdnZ2JXE5RPStL9i+fTtpa2vTnTt3SqydXxWm2BYTHMfRvn37SFNTk65du1YqbQYEBNDTp0/5mKFmZmYUGRlJTZs2JQA0btw4qcFPWQheXdqkpqbS5MmTqVu3bjR58mTS19fnzY8l96W4TW9SUlLI3t6exS/7SSSOzb6fPX379i0BoC5dushJsoLzvTdUe3t7/rljsS3LHuHh4TIDvidPnkjlmTRpEgGgYcOGkaKiIhkYGNC6detkBoUcx/GOzGbMmEHOzs7FImPbtm0JAL1//56mTJlCFhYW+ZohT5o0iWbPnk0mJiZSxy0tLfmVo3PnzlHfvn35feEsPEXJEBwcTI8ePZK3GAw58/nzZ3JwcKD09HS5tM9xHH3+/Jk8PDzo/v37tGPHDhkl9/fff5c61q1bNylnjDn7nZIOm8hxHN25c4datGhBmpqa+faljx494uVasGABzZ49+4eLNomJifTlyxcSi8Xk4OBA48aNk3L+V1Jcu3aN1NXVae/evSXe1q8EU2yLAbFYTAsXLiQjI6MSHRCEh4dTeHg4+fn58d59AfBxFa2trXMtl5CQUGZMS0obBQUFAiBlsnr16lXatm1biZjaCYVCcnV1LZbVmV8ZjuPIzMyM5syZI3NOsl86p+lnWSQxMZHs7OykVr0+fvxIysrKBIAMDQ3p+PHjZWpP06/OrVu3CAAdPnyYTp06RadOnSKxWMyfzxk79uXLlzRu3DiaN28ecRxH8+fPJwB0+fJlqTq9vLxoxowZ9McffxRZrj///JOGDx9OK1as4NuX7B/jOI43ka5UqRJt2rSJvn79So8ePaJx48ZJDU719fVpzZo15OTklGs7zBdAySKJZ80seRg+Pj704MGDMtP/S/am5pbMzc35ibGuXbvSixcv6Pnz56SoqMjnKQ2HnGlpaTRo0CBSUlKi8+fP55rH1dWVl6msbU3KjVu3bpGuri4tWLBA6lvDKDpMsf1JsrKyaMyYMVSvXj0KCQkpkTZCQ0OpVatWeXY6LD5m7giFQpl75eDgQBs3biTgW4zG4nZz//LlS3r06BHroH4SyarspUuXZPaivnr1igDQgwcP5CNcAXnz5g2/epeTFy9ekJKSEv9Mjh49Wg7SMXJD0jf8888/ue6Blqy4SyauJk+eTABIT0+PatSoQUDujppmzJhBkydPLvB2Dw8PD+ratWuu5s4A6Pfffy/wNb17946uXLlCCQkJBS7DKDmePXvGnMgxSCQS0cOHD0t8tbMwPHnyRGb1FgC5uLiQQCCgnTt38hE16tWrR7t375bK999//5W4jEKhkA99ltdK59atW0lBQYFUVFTI0dGxxGX6Wby9valu3bo0duzYX3YRqjhhiu1PkJycTD169KDWrVuXSIzSzMxMKZv/nGnbtm304cMHysjIKPZ2KwqJiYlS92zRokVERLRo0SL+2MCBA4utvc+fP5OjoyP7TYoBiYIhSTlnZ3fs2EEaGhpl+gMgFovJ0dExX/N/Sazb5cuXl6JkjPw4duwY/8zl5u1YsrVD4kPh+355+PDhua7A7N+/n1eCR48eTceOHcu1/efPn/P7XCUrsEOGDKGBAwdSUlISubm50alTp+Rmwsj4eaKiosjZ2ZmtjjMoLS2N7O3tS80rb0EJDw+nU6dOUWBgIKWkpEidi4+Pp0OHDpGZmZlU3zdkyBBSUFCgw4cPl7h8HMfRypUrecutnO8Sx3E0dOhQKdlKa6zw33//EQAaPHgw3bt3r1DveExMDLVq1Yp69OhRpuIdl0eYYltEJHtZ+/XrVySzovT0dKlyHz9+JAC0ePFi/lhoaCj/Ym7evJn8/f1/yX2yRSUuLk6qc8upcC5dupQA0OzZs4ulrdTUVLk6hKhoSBx7SVJO5w8tW7YkoGx3XZGRkT/8sI0dO5afDWeUDUQiER9CJ7e9kDExMQR886Sec+LM0NAwX+uPo0eP8ort9xNtOZk4cSJ/vqxbJDCKhlgsJicnpzIRkowhfyIiIuS637aoSKyqJGnDhg20cOFCAr45Ki2NiZtdu3YRAGrXrh3viyMzM5OXaeTIkaXajz5+/Fjqnqxfv54OHz5cYMU6NTWV+vbtS82aNWM+Wn6Csj06LKMEBQVR7dq1afLkyT/0GpmSkkLnzp3jY8heunSJ/P39CQApKCjwJquHDx9mqzfFTM64j5UrV+aPcxzHu4IvDgVJJBLRgwcPyM/P76frYnxD8tusWbOGNmzYwAc0F4lExfa7lSTe3t4/3N8juY6y6tH5V2TatGkyE4wCgYCuXbtGdnZ2/J59ybv+999/EwCqWrVqvvV6eXnRxYsX6fz58xQcHMzvVcuJQCAgIyMjmjFjRrFfF6Ns4efnRy9fvpS3GIwygo+PD7m7u5e7LUyPHz+W8vQfERFBHTt2JAB04MCBUpHhwoULVKdOHVJXV+f3+eb0Hl/aEwbZ2dl08OBBmjt3Lg0bNizPScy8EAgENGnSJKpduza9e/euBCWtuJTt0WEZ5Pnz52RgYEArV64kjuP4Garbt29TcHAwde7cmaytrfnB6uDBg2XM1f7++2+qXr06bd26VarusmxaWV7Jed9zkjNG5c/y5s0bevjwYbn7KJVlOnfuzP8+OeM+jhw5koCyHV/zRw5iBAIBr0ABxe+Vm1E0JKbhAPjfzsXFRab/Hj9+PKWmppKxsbHU1pD8kMSx/fr1KxkYGPCTNhIEAgHvBPDo0aMlep0M+ZOUlER2dnYspi2DiL5N2Lq5uZXLvdevX7/m+8GhQ4fS58+fCfjmWbk0PAsTfQvbM3DgQFJRUeHD50jGEPv27SsVGXIjNTWV9uzZk+8+aqFQyG85lGxp9PX1pfr165OOjg49f/68tMStMDDFthA8fvyYdHR0+A3raWlpUgMeiYkkAPr8+TMRET18+JCWL19Oy5cvp/Hjx9P69euZAlSKZGVl0blz5yg+Pl7qeE4zmp8hKiqK7O3t+RVFRvGQ0/HX1q1bqVOnTvz/AwYMkLd4+RIaGioVFkEkEtHbt2/J3d2d5s2bR6qqqgSANDQ0+NBTDPlz+/Zt/hmrWbMm1a1bl/9/9uzZFBkZSW/fviWRSESBgYFSff/o0aPpzp079Pr161xN8CSKbbt27QgANWvWjM+XnJzMh86wsLBgE5y/AJKYtpJxAoORkpJCdnZ25XK7Wc6+sG7dunTnzh3ek3JBHeb9LNnZ2TR8+HBSUlKiGzdu0B9//MH7KSjr/Pbbb/z2l9TUVN65ZK9evUhLS4seP34sbxHLFUyxLSCurq6kpaVFx48f549xHEfTp0+nBg0aUPv27enjx4/k5uZW5hwBMGSRuLbfsGFDkevIysoiJycn+vTpUzFKxpDg4eEhs1rWrVu3Mj+J8OjRIwoJCaH379/TvHnzeC+SuaVly5bJW1zG/5OYmCgVu7FRo0bUtWtXCg0NlckrFovJ2dmZDhw4IPObfh93meh/iq2lpSUB37wa+/j40J9//smXMzExYQ6FfiHevXsnEyOZ8WsTEhJCd+/e/eEWt7LG+vXrCQD17t2bzM3NSVdXl+zt7cnS0pIMDAxoz549pWKZJBAIaMyYMVJhiMaPH1/i7RYnHMdRmzZtpCZVNTQ0yNXVVd6ilRuYYlsAHBwcSFNTk86dOydvURg/iaOjo1QM4BEjRhTJHIzjOPL29iZvb282GC0hEhISqHLlytSgQQO6cOGCvMUpEBkZGWRra8uHJAJA3bt3p/nz51OdOnWkFKAtW7aUO4chvwIikahAv0tGRgZVrlxZRrH99OkTffz4kfz9/WnLli105MgRunnzppQSLIllLEk7d+5kljy/GGlpaWRra0vZ2dnyFoVRRuA4jjw9Pcvd/uuMjAy+L3v//j21bduWdHV1ycnJifcvY21tXaLKLcdxZGVlRQCoQ4cOvDxubm4l1mZJ8vHjRzp69CglJSXRhg0bSF1dvVyELioLMMX2B9y4cYM0NDTo6tWr8haF8ZNInHZ9n549e1bouj59+kROTk7MbLCCw3EcJScn04cPHygiIoKIvq3WxcfH0/v372UmRfz8/GjPnj38s3Xr1i0SCARS+zElqayvPDPyJjU1lf8d9fX1ebM3VVVVqlWrlsxvPWPGDJo0aRIBoHHjxvHWB2wbw6+Nu7s7hYWFyVsMRhkiIyODHBwcyp3l35YtW3hHSUlJSXzfJxAI6NKlS1SpUiWaNm1aiU7gSfrWnAsXFWXhYefOnaSmpkbXr1+XtyhlHqbY5sPFixdJU1OT34zOKN/kdA7zxx9/UN++fWn37t305csX6tixIw0ZMoQSExN/WE96ejrZ29tTVFRUyQvNKFXev39Pffv2pVatWlGNGjX4/bCSVLVqVX7/iyQ1bNiQFi5cSBMmTKBdu3ZRr169qEuXLhQSEkIikYj69+9PAKRWbENCQuR9qYwiYmtrm6dp+fbt22nx4sU0duxYunLlCnl4eJBYLKanT5+Su7s7paamUrNmzQgAnTlzRt6XwpAzwcHBbP8cQ4bw8HBydHTMN4RYWSMhIYG3RgkPD+dD8WzcuJGIiP79919SUFAgGxubElU2ra2tpfrkisShQ4dIXV293FiwyQslMHLl4sWLmDVrFm7duoXevXvLWxxGMdCgQQP+77CwMDg7O0NBQQGWlpZ4+/YtAGDr1q3YtWtXnnUQEV6/fo3q1avD2Ni4xGVmlB7379/n3/URI0agb9++MDIyAgAsWLAAABATEwMzMzNMmjQJoaGhuHDhAv/s1K1bF3Xq1MGkSZMwefJkAMDixYvh5OSEPn36YPHixejXrx8A4NixY/k+Z4yyi7q6Ov+3oaEhDh48iFOnTsHGxgbDhg0DAHh6euL9+/eoWbMmKlWqBDU1NTg7O6Nr16582Y4dO5a67IyyRfXq1REQEICsrCyoqanJWxxGGcHU1BTR0dF48+YN2rRpAwUFBXmL9EP09PTw6dMndO7cGb169cKjR4+QlZWFtWvXQldXF/Pnz0dWVhZmzpyJd+/e4cCBA7C0tCx2OaytrXHu3DkAwLJly4q9fnkyd+5cqKurY8aMGSAiTJw4Ud4ilU3krVmXRa5fv06amprk4uIib1EYxUxYWJiMkxd8t+py6dKlPPeCfPz4kf6PvbOOiqr7+vh3CBGUUhAMEAsbuwO7xe5+zMfuzsfubsXuIgRUVBQlLRAlRBRUukF6Zvb7B++cHyMhMcMMcD9r3bVm7jn3nH1nbpx9zo5Hjx6VuOAOHLkTEhJCK1asICAzt7SrqysRZfpaRkZG0ufPn3NcnVNTUxMLFPTlyxdydnZm3xcsWMBMVUUmy/Pnz2fH16pViwBQ//79aenSpZyPZSlClNIHAF28eJGuXbvGTJHnzZuXayoojrKHo6NjjgHKOMo2qampZGtry1xgSgpfvnwhAKShoUFCoZC9W8+cOUNEJOaqI410QHw+n1la+fv7S7x9eeD8+fOkqqrKuUjmAqfY/oG1tTVVqFCBHj58KGtROKRE1sinL1++ZAnFs245+d2mpKSQjY0NZ4KcB/Hx8SVG6be1taV27dqJ/e/KyspkbGxMlSpVIh6Px/ZbWVnlqNxu3bqVtffy5UsKDAwkImLKsLGxsVggoqdPn+Zqxsql/ik9ZL12kMXHNiYmRtaiccgZX79+zTGSNgfHz58/yc7OrsQFGBNF9XV2diahUMieg48fP8723ouIiJB4/xMnTiQANHLkSIm3LS8cP36cVFVVOV0lBxQktfJbGrC3t8fYsWNx+fJlDBw4UNbicEiJ06dPo2PHjgAAU1NT3L17F+vWrROrc+rUqWzHffz4EVWqVOFMkP/Ax8cHlStXBo/Hg6amJsqVK4fy5cuDx+MhPDxc1uJlIzo6Gm3atMGAAQPg5uYmVsbn8zFo0CAsX74cp0+fhoJC5iPS2dkZMTExWLVqFQwMDNCvXz/8888/zBQoJSUFcXFx0NfXh7u7Oxo3bgwAuHLlCtTU1Fj7PXv2BBFBIBCAiHDr1i1WVr16dWmfOocESUtLw4oVK7BmzRo0adIENWrUQIcOHfDy5Uvs2rULALB37178+PEDY8aMwfTp06GtrS1jqTnkjapVqyIqKgrp6emyFoVDzqhevTq0tLTw6dMnWYtSIF68eAEA6NixI3g8HnO7uX37NqsjcsX4+PGjxPsXvdcXL14s8bblhblz52Lbtm0YNWoUnj59Kmtx5AtZa9bywosXL6hixYp07do1WYvCUUwgl5UzAHT8+HGxusHBwWRjY8NFQc4Cn8+n7t27Z/vtRo0axT6fO3dO1mKKkZKSQk2bNhWTl8fj0axZs+jbt29iM+OBgYE0a9YsAkC3bt3Ks92AgAB6/fo1JSYmUp06dQhAvhLTHz9+nMmxdOnSIp8fR/ExdOhQMbP0nJ4jlpaWRPS/PLYcHDnx4sULLh86R44kJyfTw4cPKTw8XNaiFIh///2XANCNGzdYYKms25s3b6Q2ntqxYwepqKjQmzdvpNK+PLF9+3ZSU1Ojly9fyloUuYFbsQXg6uqKwYMH48iRIxg/frysxeEoBiIiIvIszxowLCMjAx8/fkSTJk2goqIibdFKBJcuXYKmpiYcHBwAALVq1UJYWBgyMjJw+/Zt2NvbAwBWrVqFdevW4devX7IUl/Hs2TN4eXmx7xcuXEBiYiJOnz6NWrVqoVy5cnjw4AGaNGkCIyMjnDlzBt26dUOvXr3ybDc0NBQCgQDq6uoICAjAwoULxYKV5UbWYELdunUr9HlxFD8tW7YEkBnoJSQkBAKBAFFRUfDz84OzszOeP3+OAQMGyFhKjpJA1apVERoaKmsxOOQQVVVVNGrUCJ6enuDz+bIWJ9+IVmcfPHjAAkuNGTOGlW/evFlq46k1a9bg9+/faN26tVTalyfWrl2LZcuWYcCAAXB1dZW1OHJBmY+K7O3tjYEDB2Lnzp2YNm2arMXhKCZEpjIAcPDgQdja2sLe3h6KiorYuHEj6tWrx8p9fX2hrq4OAwMDGUgqP7x58waLFi1CYGAgQkNDxSI1fvjwARoaGmzfjx8/AGSa/e7YsQOtW7dGjRo1ZCJ3Vho2bIiJEydCS0sLW7duhZaWllh5eno6hg8fzr57enrCxMQkzzbT09MRHR2N+/fvAwD69u2Ltm3b4sSJE4iLi0N8fDzi4uIQHh6OhQsXwtjYGOHh4XB3dxfr/09ZOOSb9u3bAwB+/frF/rtLly6xiNgcHPmlatWq8PPzA5/Ph5JSmR+WcfyBkZERfvz4AX9/fzRs2FDW4uSL6OhoAJkZAADA0NAQN27cwJs3b/Dt2zfY2NjAw8MDzZs3l3jfhw4dwpIlS3D58mVMmjRJ4u3LG//99x+SkpLQr18/uLi4lJhrRGrIeslYlvz48YNq1KhBGzdulLUoHMXM8+fPCQBNnz49z3pxcXFkbW1NCQkJxSSZ/PH161fq3LkzMyGaMmUK7dy5k969e0ctWrRg+2fNmsWOcXV1pebNm9OaNWtYDteSAJ/PJ1NTU3ZOf+bbCwwMpGrVqtHhw4fZvp8/f5KDgwN16dJFzNRKSUmJdHR0mGlyTtuoUaOoZcuWLFouR8lBKBTShw8f6PHjxzRjxgyx/9XR0VGsLmeKLB34fD4JBAIKCQmh1atXk7m5eb5ykcsbQqGQ7O3tKSQkRNaicMgpsbGxZG1tXWIiqouehX/Ke/v2bbFn5eDBgyVukvzu3TsCQEeOHJFou/LO5MmTqWrVqvTz509ZiyJTyqwpckxMDPr164cBAwZg8+bNshaHo5h58OABAGDGjBm51iEieHp6onbt2lBXVy8u0eSGpKQkzJgxA3Xr1sXr16+hq6uLChUqYMiQIUhPT0erVq3w4cMHVr9Hjx7sc7t27fDhwwcsX74cAFgQJnlHUVERK1euBJBpXr169Wr8/v2blQcFBSEkJAS/fv3CnTt3MHr0aPj7+0NfXx+Wlpbw9vZGcHAwkpKSkJ6ejsjISHz9+hWXL1/Osb+GDRuiWrVqAICxY8dK/wQ5JAaPx0Pz5s3Rp08fnD17FgkJCVi2bBmAzBl0DulBRLhw4QKUlJSgqKiIatWqYdeuXfjnn39w5MgRqfadlpaG7t27g8fjoUmTJhg3bhxGjhyJVatW4fbt2yCiArfJ4/Ggr68vl8H2OOQDLS0tGBoa4uPHj4W6xmSFQCAQ+z5q1CiWX7Zjx4549OgRpk2bhsDAQImcV2hoKFq1agUgM+9rWcLc3BwtWrRAr169EBsbK2txZIdM1WoZkZSURJ06daKhQ4fmmq+Uo/QSHR3NVtTyIjAwkB4/fsxykJY19u7dm2eALR0dHbHv9+7do+3bt9PKlStpzpw51LdvX9LS0iIAYiuc8k5YWJjYeU2YMEGsPC0tjczNzdk1JAqOkRdZU0xdvXqVxowZI9ZH1tVujpKNKH1YVksgbsU2d6ZPn04AyMTEhIKDg3Otl5SURNOnT6cGDRrk+Vx69+6dVOSMi4ujefPmifXVpEkTUlJSEts3e/bsQrUfFBREly9fphYtWpC+vj77Tf60GuEou6Snp5OdnV2JyG0ruh9yIjIykpUbGxuLWYMV9Xp3cnJi7SUnJxeprZJISkoKdejQgdq1a1cmz5+oDOaxzcjIoMGDB1OXLl3K7J9e1rG1tf2rspWWlka2trZl2jTM2tqaOnToQFOmTGGDdVVVVdq5cydFRUWRQCAgosxk4VkHdnXq1KEmTZpkM7nt2LEjXb9+nc6dOyfXEfxcXFxyHTR369aNdu3axb6bmJjQpUuX/voyzsjIoIiICGZy9eXLFxo0aBA1adKERowYUWLMyzj+zsuXL9n10bt3b0pLS+MU21zI6V57+vQp+fv7k6OjI1N03d3dxepUrFiRhg4dSmfPnhXbn5KSIhU5o6KixPpp27Yti6AuEAgoODiYPDw88hzM50V0dDQpKirS1atXxQb6AEpMXnCO4uHHjx/06NEjub8uRNdvbnlqN23alOM79r///itUf8nJyeTh4UFCoZCuXr3KItKXRWJjY6lx48Y0cODAMrkwU6YUW6FQSDNmzKAmTZqUSD8cjqITHx9PhoaG1L17d6aY5YSnpydLLs6RNwKBgDZu3EhNmjShfv36UaNGjfJcURFtQ4cOpfr169OOHTtkfQpi/PjxI1eZ+/fvT5qamqSiokIPHjygf/75h+bOnStrkTnkDEdHR3bN3LlzR6aKbXBwsFy+77Iqgs7OzrR+/foc7zkrKysaMGAAAZkxEbIO6Pl8Ph0+fJgAUPv27SUuo0AgEEtV0qBBg1wHikKhkACQkZFRgfqwtLRk7S9dupR27NjBfAQ7duwoidPgKEUIhUJ69eqV3E+Uia7pqKioHMuFQiGNGDGC1Tt58iQBoEaNGhWpvw0bNhRF7FLDjx8/yMjIiP75558yN44tGY5vEmLHjh149OgRHj16xEUgLaOsWrUK0dHROH/+fK5+nwkJCQgKCkKTJk3EIv9yZCcuLg49evTAf//9h0+fPsHNzQ3e3t7Z6j18+DDbPltbW/j5+WHt2rVISEgoDnHzJCYmBmZmZhgwYADOnz+P2rVrZ6tjZ2eH+Ph4pKWlYeLEiWjVqlWJ8nfiKB66dOmC/v37A5CNf7mfnx8mTpyIihUronr16tDW1sazZ8/kJl3Ir1+/WDTU8ePHo0OHDti6dSsiIiKwdOlSsbpqamosovrXr18RHh6OjIwMAJk+8efOnQOQ+ZtLkqSkJCgqKqJSpUoAgLZt28Lb2zvHqMWpqakICgoCAAQGBhbod7569Sr7PHjwYHTo0AH6+voAAGdnZyQnJxflNDhKGSLf7m/fvonFf5BXEhMTc9yfmpqK7t27Q0tLC5UrV8a4ceMQExMDFxeXArX/8OFDrF69mn23sbEpkrylBQMDA1hZWcHKygo7duyQtTjFi6w16+Li6tWrpKGhQZ6enrIWhUNGODg4EAA6duxYrnWEQiG9fv2avLy8ilGyksnPnz/FVlauXbtGc+bMofLlyxMAWrRokVh5586dxUyUjxw5wmZs9+7dW+zyJyYmkr+/P504cYIGDhwoJuuWLVtIKBSSs7MznT17lq5fv06jR48WqzNz5kx68OCB3JuEcciG/fv3EwB68+ZNsa/Yzpw5M1erg82bNxebHLlhY2OTqzuIoqIik3XRokWUnJxM6enpVK1atVzPqXHjxhKXUeRioaenR8ePH89x1ePPZ6BoW7NmTb76EK3yioZiqampZGlpSSkpKcyft27dumU+yilHdj58+ECurq6yFiNHspru57Za+PTpUwJA9evXZ3XNzc3zvboYFxcnds8NGzaMFBQUKDAwUJKnUuJ59OgRVahQga5cuSJrUYqNMqHYvnjxgtTU1Ojx48eyFoVDRiQlJVGdOnWoS5cueZogBwcHk52dHaes/AV7e/tsgzk7Ozv2eeHChZSRkUGxsbFs3+/fv4mIaN++fWyfm5sbAaA9e/YUq/zR0dFUrly5HAelSkpK9O7dOxIIBBQQEEB79+4lAwMDVt6sWTNKTEykr1+/kpOTU7HKzVFyePLkCQGg79+/F7tiK1Kq79+/T0ePHs12jecVpEnavHjxghYsWEAAcoxh8OrVK1q0aBEpKCgQALp8+TIFBgbStm3bclVs37x5I3E5x40bR0D2dCVZqVu3rtiEwezZs6lDhw5kZ2eX7354PJ6Y+eXLly8pMDCQhEIhjR07lgCQsrJykc6Fo/SRmppKDx8+pPDwcFmLkg1RyryuXbvmWkcoFJK5uTlZW1uL3cv16tUjNze3v/axatUqseM+f/4syVMoVZw5c4bKly8v17FNJEmpV2x9fHxIW1ubzp49K2tROGTIihUrSEVFhfz8/HKtw+fz6fHjx9yMXz6YNm0ae6Goq6vT3Llzc1wRCg0NJQDUt29ftm/IkCHZBqb+/v5SlVcoFFJSUhL9+vVLTNYVK1aIybFkyRI6efIkLVq0iGrWrMn2q6io0OLFi+nHjx8saIyTkxN9/fpVqnJzlFyuX7/OFCNJK7YJCQl07do1evbsWY4rHEFBQQSARXVfv349TZkyhVavXk0AaNeuXRKTpSCkpKSI3W9xcXF51gdArVu3Fjtm+fLldPr0aTp//jzNnz+fAJCmpiZ16NAh10A1BeXRo0esv5wCUgUEBIjJVLly5UL31a1bNxo1ahT77uvrywb2ovZVVVUL3T5H6eXr16/09OnTPCfrZYHous3Nv/ZPvLy82ERW1apVicfj0dy5cyk0NDRb3aSkJHJ1dZWbibqSwtq1a0lDQ4N8fX1lLYrUKdWKbXh4ONWqVYvWrl0ra1E4ZMj79+9JUVGRtm/fnmc9Pz8/cnBwKHOO9oXBysqKgMyoryKT41atWtGXL1/Y7xcZGUn9+vUjIDOADhHRjBkzCABVqVKFWrVqReXLl6fJkyeLtZ2RkUFxcXF09OhRmjFjBs2ZM+ev6XTywt/fn9TU1MRehCYmJmRubk5dunRhZsWpqaksgEX58uWpXbt2NHPmTHJzc2OrzVlltLKy4qIZc+QIn88nHo/HTPEkqdi+f/9e7Fru1KkTubm5iQU18vb2JgDUvHlzsZR2ERERBIAGDBggEVkKSlJSEgGgHTt2UEBAwF/rV6pUSUyhjY+PFytPTU2lc+fOUefOnVm9KlWq5DmBmR8ePHiQp1nxn6tM3bt3L3Rfook2UZqi2NhYevjwoVhKFO6dxJETAoGAnj59mq97qbgQPXsAUFhYWL6P09PTIwD06tUrGjp0KGtj2rRpdO3aNXr79i2NHTuWWrVqJXbvccGi8s+ECRPI0NBQLlf5JUmpVWxTUlKoXbt2NG7cOLmbzeIoPvh8PrVq1YqaNm2ap3lxSkoKWVtb53uGsSyTmppKVatWJQDk7u5OFStWpK5du4opf15eXmIvH2NjY0pISCAVFRXq16+f2H8RHh5O//33H1WqVClX82Bvb+8Cyfjjxw/au3cvtWjRgrVx+vRpsrS0JHd3dyL63yC7Vq1aFBoaylIalS9fnqKjo/NsPywsjJ48ecINOEsxgYGBtHfvXjpy5EiBV+ZFCuTw4cOJSDJ5bP39/cUsDGbPns382QHQ0aNHWd3U1FTS1NQkAFSpUiX6/v07KxNNNo0ZM4aCgoKKJFNBEa3Y5tffS5TaJDIy8q913759S+vWrWO/x/79+wstp0AgoGfPnrG2HBwcspUfO3aM+f1Onz690H2JVp86depEZ8+eJQsLC7KxsWFuGpqamoVum6P0ExYWRjY2NsySSNZkjSJeEF68eMGspogyU+KNGTOGlJWVc3VBWL58Oenr63PjtnySkZFB3bp1o9atW0stNZo8UCoVW6FQSOPHj6f27duX6j+PI29iY2Np5MiRxOPxyMXFJc+6Hz58yJdfBwdRs2bNCAC9fPmSmVv+OfDPKUfdxYsXCYCYqbdoBVe0jRkzhrZs2UK3bt2if//9l4DM9BkFUSCjo6OpTp06BICqVatGQ4YMIWdn52z1wsLCssnYq1evbKtCOeHp6UkeHh75lomjZJF1xU60NW7cmNq2bUumpqbUv39/GjZsGM2dO5fmzJlDy5Yto40bN9KePXvo8ePHtHnzZgJAL168IKK/K7Z8Pp+WLFlCw4cPpylTptCHDx/YSiufz6eJEyeKySIyJRYIBPTr1y+mwGa9T/h8PhkZGbFjzp8/T0REjx8/JnV1dbZ/6NCh9OXLF2n9lGKI/I7Nzc2l1kfW/27o0KFFGvT6+PgQkJmGJyfS0tLYqvK1a9cK3c/IkSPF/t9FixbRhAkTuBVbjr8iFArJycmpWANexsfH5+qytXHjRvbuLQhZ3RT+vN6fPHlCZ86coT179hCQGQdj5cqV9M8//xCAMp2ztqDExcVRgwYNaOzYsaX2uVIqFdvt27eTgYFBgcwgOEofkydPJuDvCb/j4uLIysoqm7kpR3Y+fPhAAGjjxo1ERMyU909+/PhBZ86cIQcHB6pduzZ7YbVr147V+TOqYdZNpDwDIAsLi3zLlzVYVX5WbL5//076+vrUrFkzsre3z3c/9vb2Ofr/cJRs+Hy+WJTOmzdv0pMnT2jVqlW0cOFCmjFjBo0fP17MVE5kkVC9enWxfQoKCmxFNC/F9t69e7neB/r6+mLfLSwsKDk5OVsbLVu2JABkY2Mjtl8U5V10vGjlUygUkr29PTVt2pSVmZiYSDXAlUgBF02KSZPk5GQxH3lzc3P68eNHodrq3r07jRw5Mtfy8PBw1s/SpUsLNVgMCAig7du3k4eHB9nb29OQIUNo//791LhxY7px40ah5OYoO8THxxeba0x6ejq73idOnCjW5507d3K0IPkbf1p4iSbhckKkOAOgAwcOcO/hQuDn50fVq1enHTt2yFoUqVDqFNv79+9TxYoV6cOHD7IWhUOGiMxa/hY0jEvvUzCWLl1Kurq6lJ6eLpaqIq/B3LJlywgA9enTh+zs7MjX15fmzZtHw4YNE3uZPXv2jM6fP09Dhgyh2bNn0/LlywscDObmzZtFXj35G4mJiWRlZSXm08hROhCZEJuamv7Vb+3r169ka2srNoHq7e1NmzdvpjNnzohZC+Wl2IqsFqZNm0YpKSnk4eFBt2/fpvbt25OKigpbLf7zevv16xcpKSmRrq4uvXnzht1HOUUa3r59OwGgq1evZiv7/PkzdevWjR1/48YNqVzbIv/1S5cuSbztnEhPT6edO3eShoYGO7fCpLwQrQo9efIk1zqilV0AVKdOHerXr1+hFWmiTFNyCwsLzuKMI98Ul9VZ1vc+AOLxeNSyZUsxK6358+cXyAUwa9osVVVVunLlCn379k3Meurz58/ZJv5Onz4tjVMsE3z48IEqVqxIDx48kLUoEqdUKbaiP+r+/fuyFoVDhqSnp1Pjxo2pQ4cOf324ivxTuPQ+fycjI4P09PRo0aJFRER0+vRpApAt+JMIke9YnTp1aNCgQbmuSgGg1atXF1k+0eCyfv36RW4rL759+0avX7+Wah8cssHX15cAUP/+/SXabl6KrSilS1Y/2KzkNGnk6Ogodv94e3vT4sWL2fc/I6UGBwezstzejxs2bBBrU9LRM/v27ZvneUqTc+fOsfMqqNli1pXmvFZP09PTad26dVSjRg0CQGPHji2SzC9evCiScsxRtiiuOCE9evRg94OjoyMtWLCAatSoQdra2gSgUMFaRc9AAGJxNpSUlGjVqlUUHx/P2m/atCldvnyZm/SRAPfu3aOKFSuWOreqUqPYhoaGkoGBQaldWufIP3v37iUAf/WrFQqF9Pz5c6mnmiktiFJgnDlzhl6+fEkAqFGjRjmm7MjIyKBJkyaJDZSbNGlC69evp8qVK4vtnzhxokQGu6dOnSIANGPGDIqNjS1ye7nh6upa5KirHPKJyMyuS5cuEm03L8X2woULOZoR54XI57Zr164EgK0u7969m91Xf7pg2NrasrJt27aRr68vhYeHiynOYWFhLMcsALK2tpaYH9aIESMIQL7NnYVCIQUFBdGDBw/I0dGRPn36RO7u7nTq1KlC3d+BgYHsmVXQFWlLS0v2m4j8pnND5K7RqFEjatSoEbVv356ePn1aYHk/f/5Mb9++LfBxHGUXHx8fcnR0lJrvZP/+/cUm0yTFn1HGRSvBony4IssVAJzLmIRZuHAhVa1atVS5bpYKxTY9PZ06depEEyZMKLXO0Bz5R0dHJ1eTvKz8+PGDHj9+LJYOgyN37O3tCQAZGBgQAFJWVmYRhrOS1axo3rx5dPPmTRo+fLhYhOLGjRvT4cOH/xp9OL8IhUIWmAYAVaxYUSLt/olAIKCHDx8WKf0Qh3zTp08f6tq1q0TbzE2xzcjIYNYMf0bezYsjR46wSSEA9PPnT1b248cPdh/8aXr87t27bAPIAwcOZGv/1q1brFxSqYFevXpFQGbe67+RU/CurJuRkRHt3r37r0rmn4gG5gXxpxfx7ds31n9efv/Jycks1ZNoMzAwKHB/ERERZGdnx41pOPJNeno62draSs3vVHQ9S8N168qVK9nu8+DgYHr16pVY8LzSnqqmuOHz+dS9e3dq3759qbFcLBWK7aJFi6hZs2aUlJQka1E45ADRAzAv+Hw+PXnypNjTXZRksgahqVixYq4r4teuXWP12rdvT/Xq1WOzrv/88w/5+/sXabAWEhJCp0+fpkOHDtGuXbto06ZNrA/RVqFChUK3nxfR0dFkY2PDDTZLMSYmJgQg16ifheFPxVYoFGYz/S3IKmTWIGkAspkfOjg4sLJBgwaJnUtiYiJ5eHiwOAQAcpyoCQgIIACkra1d8BPOheHDhxMAWrhwIcXExFBiYqLYvZSSkkK1atVicpmZmdGjR4/Ix8eHXr9+TZaWltksPubMmUM7d+786/s/axqShw8fFkr+y5cvszby8k0TBczr3bs3Xbp0iX0uiMLB5/PJ2to6X1HaOThEBAQE0LNnz6TyjurduzcBoF+/fkm8bSLx4FNAZnTw7du3U2JiIqWmpnJKrZSIjo6mevXqMTezkk6JV2xv3LhBWlpaBc4zyFE6cXJyIgA0fvz4POt9/fpVag//0kxERARFRET8NSfw/v37qV69etS/f38aOnQozZs3T2ImRNOmTRN7+VWrVo3q1KlD48ePJysrK6lGLPb19c1xlZqj9CBSXv4WPKogiBTb8PBwatSoEenq6rLrd8KECZSamlqg9qKiomjOnDkEZKb5ySmHpZ+fHzVp0kTMtG/27NlidUaNGsXKe/ToIZb2J2u03/wiFAopLi6Obt68mS3y8c+fP2nevHnZVmUUFRVJR0cn2+SUj49Pjn0IBAJyc3OjMWPGiNWvU6cOzZs3j65du0b79u0jY2Nj6tq1Kx08eJANyEX1isKnT59YW7k9Z06cOEGmpqa0d+9eiomJoVatWrFjCmIh5OzszI1tOAqEQCDIcdI+NTW1yOOdX79+kYaGBs2YMaNI7eTF9evXacCAAWL39sqVK6XWH0cmX79+JS0tLbp586asRSkyJVqx/fTpE1WsWLHQs68cpQtPT08CMhPa5xVNNyMjQ6rmOhySJz4+nu7evZvNXElDQ6NY5Xj16pVMgt9wFB+3b9/OdRWzsIgU2+bNmxMAql27No0dO7ZQpvgi//as27p163Kt7+LiQubm5ix3ra6uLrM6EAgE5ODgIKZUbt68mRITE5m/sY6Ozl9l+v79OwsO9acJ7qFDh8jZ2TlXs+KDBw/S9u3bafny5TRjxgxat25dvpQ/oVBIPj4+5OfnRzNnzmT+xnltu3fvlshk5rNnz1ibjx8/ztE/zcvLi1RUVKhcuXJiq9AFyRns7+//11gRHBx/8vPnT3r8+DGlpKSQgoICu/Zq1qxZpFRbAoGAtfXmzRsJSiyOyGpGtHXv3l1qfXH8D2tra6pYsaJU074VByVWsY2LiyNjY2PasGGDrEXhkBP69OlDNWvWzDGYUVa+fPlCL1684FZrSxCrVq0Se9FpaWnR/v37ydHRsdhk4PP5xZYrkEN2iFZCC5Ku4m94enrSf//9RwCodevWRWpLFMhIR0eH+a1OmDDhr8d9+fKF+vTpk03BEgqFtG7dumwmvln9cXM7p3r16lGtWrWoY8eOYseOGzeOlJWVc1Qup0yZQrNnz2bfc8rLW1hiY2Pp8ePHdPfuXYqKiqLExEQKCAj4a7yFwjB//nyx83J2dhYrzykSvKamZoFcpmJjY+nhw4cSvRY5Sj9CoZCePXtGZ8+eFZuwEn3OycIjP2R1n5Bk8Kg/EfVx9epVlsKvXr169Pz5c6n1yZHJ+vXrydjYuES7QJRIxVYoFNKwYcOob9++XOAfDiL6XyRKZWXlPOuJVmtLUwS4skDTpk1p1KhRlJycLLNBXkREBD169IibECnFJCYmMrNdSXLv3j0WJfxPk/wHDx7Q1atXmW/6nDlz8mwrPT2dypcvz5TZzp0755pyKydEq6eampr0zz//UHJystgKq+jz2rVrqWbNmgRk+un+mV7j/v372RS3fv360fnz52nw4MGkqKiY68qpsbExaWhokLm5eb7lljdEOY9F26FDh8TKRfmJV61aRaNHj/7rhGtOCIVCLlgdR6G4fPkynTlzhpSUlFiKq5wUW6FQSL9//87TeiQqKopNzAGQunm8u7u7mOn+qVOnqHz58sTj8ejjx49S7busw+fzqXPnzmRmZlZixzoKKIEcO3YMb9++xbVr16CoqChrcTjkgLp16wIAMjIy8qwXGBgINTU1VKlSpTjE4pAA69atg5eXF4YPHw5VVVUoKMjmsRUdHQ0dHR3weDyZ9M8hfSIiIgAA9+7dk1ibYWFhePToEQDA3d0dFSpUAAAQEXr37o1hw4Zh4sSJuHv3LgDg1KlTSEtLy7U9ZWVltGrVir37hEJhge6JFi1aYNOmTeDxeDA3N4ednR0AYNOmTQgICGBtZWRk4OnTpwCAhw8fws3NTawdY2Nj9nnjxo0AAD09PVSvXh3W1tZo164dlJSUAAABAQH49u0bPD09kZqaCj8/P8THx2PatGn5llveSE1NBQCYmpri9evXmD17tlj50KFDUadOHezevRu3b9+Gq6trgfvg8XjQ0dFBdHS0RGTmKBu4ublh6tSpSE1NxYYNG9C3b1+xa0hZWRleXl7g8XhQUFBAxYoVUblyZXTt2hW2trb4/fu3WHsjRoxg9/isWbNQp04dqcrfpk0bmJmZAch8Hs6ePRtxcXFo0KABZs2aBaFQKNX+yzKKioq4cuUKXFxccOzYMVmLUzhkrVkXlI8fP5KamlqxmiByyD/e3t6koKBAR44cybUOt1pbckhNTaWPHz8y06f69evLPH8d518rztq1awkAffjwQdaiSIRfv36xVYL3799LrN1Pnz7RzJkz6f79+2L7v3z5ks1E99SpU7R79+6/ttmhQweaNm0aERG1b9+efS4IoqjHWbf169dTTEwMnTlzhgWf6datGyv/8xxcXV0JACkpKVF0dDTx+XwSCATk6upKUVFRzF/5/fv3pSaVhAihUEhqamq0b9++POuJVroKk2KIiPOz5Sg4omfLxo0b6fHjxyQQCMTSVY0dO1bMPP7atWu0ZMkStq9JkyZiuZ5FPuIF8Q8vKmFhYaSmpkYAyMPDg4iIHB0dCQCdOnWq2OQoq9y/f5/U1NSkktpJ2pQoxTY5OZmaNGlC69evl7UoHHKGKD9hXtFF/f39Od/aEsLkyZPZS1ZHR0csT6cs4PxrsyOKTp2XaZhQKCQPD48SYUp54MABAkDTpk2T6DPizZs3NHPmTLp27RoREZ06dYoUFRXJycmJDh06xK7zNWvW5LvNNm3asEEpAJo+fXqhZFu2bBkBoJMnTxKAHKOdZmRk0L1795icWX+brMFkvL29KSkpiW7fvs18Wg0NDVl57dq1CyWjvCKKyvw303FRUEMA+Zq0+BORny333uLIi+fPnxMApgwCoM6dO9OzZ8/o+/fvJBQKSU9PT2wi68/JlujoaFq5ciUBoMuXL7P9p0+fZsdcuXKl2CapLly4QADo/PnzbJ9IDllPdJcF1q1bR02aNMnmhiLvlChT5FWrVqFChQrMJIKDQ4TInK5cuXI5lguFQgQEBMDY2JgzJS0BXL58GQDg6uqKnz9/okaNGjKVJy4uDsrKysyMlAM4f/48MjIy0LRpU7H9O3fuxMCBAzF58mQ8efIEzZs3x+jRo2UkZf5JSEgAANSqVSubKV5RqFy5MgDg0aNH8PDwQHBwMAQCARITE7Fo0SKkpqYiPDwc27Zty3eb8+bNAwDEx8fD0NAQU6dOLZRsomfhv//+CwDMdDgrSkpKGD58OI4cOQIAGDx4MKKiogAACgoK6NOnDwCgUaNGMDQ0xOjRo7Fp0yYAwPTp06GhoQEA+PbtGwQCQaHklEecnZ0BAJMnT86znomJCZycnABkjmHi4uIK1I+mpiaIiF2fHBw5oa6uDgCoX78+Tp06hVu3bsHe3h716tXD169fAQCqqqqs/vnz59GrVy+xNipVqoThw4cDALy8vNj+6dOn4+bNm2jRogUmTZoEPT09+Pj4SPuU0KlTJwDA7t27s5Vx4zjps2nTJlSoUAGrVq2StSgFQ9aadX55+PAhqaurczndOHIE/z+LZ2Njk2N5UFAQPX36lJv1llNiY2Npx44dtGvXLvrx4wcBoIoVK8paLIafnx+5ubnJWowSQdagQZaWltS2bVs6e/asrMX6K58/f2Zy/20VLr8kJSWRnp4ezZw5kyZNmkQODg4kFAoLFBk3N5KTk/OVLigpKYmuXbvGTIvDw8Pp5cuXdOfOHbHVmz59+lBkZGSu7UyaNImlDhkyZIhY2fv378nU1JS19fr1ayKibCmAJBkBWdaYmZlRnz598l1flMu2MBFpnZyc6Nu3bwU+jqNsYWZmRuXLl6c7d+7Qz58/6fv378Tn8+nx48cUHBxM7969ozlz5uT5PP758ycBIH19/WxliYmJdOHCBdLW1qZatWrlmmu6KPD5fBowYACZmZnR9evXCQCNGTOGiIhSUlLYsyQ2NlbifXNk5+vXr6Surp7r2FoeKRGKbVhYGOnq6oqZRnBwZOXcuXMEgExNTbOViULfBwYGFr9gHPlCZAaadTtw4ICsxWK4uLiQv7+/rMUoEbi7u9OdO3fI1tY220TSx48fydLSkuzt7eUyon1sbCxpampKTLHdvXs3AaDFixfTu3fvJNJmQRBFWhZtbdu2zTVSsUgZzY0/64tISkqibdu20ZYtW1jZzZs36fXr1zR+/HixYwYMGFBqnsOiFGQXLlzIV/1Zs2aRiYlJofry8fGht2/fFupYjrLDx48fs0Ujv3r1Kn39+pVevHhB7u7udOvWrTwnsIRCIdWvX58A0I4dO+jJkydkaWlJfn5+rM6jR4+YK4SkU/BkdW8QjetatWpFRJkTzKIyLt5F8XHo0CGqXLlyiYlPUyIU2xEjRtCoUaO41TaOXImKiso24BIRGhpKdnZ2cjmQ5sjkz0HzpEmTZC0SQygUko2NTb5WxzjyRklJif3Hf+b9lBfq1q1LK1asKFIbaWlpdOXKFQIyU5B5eHjIJOn9ihUrCABLDzRjxgyaMGECTZ06lf0PJiYm9OLFi7+2ZWVlJXaPvnr1ioiIXr9+LbZfR0eHfTY3N6fhw4dThQoV2L7Tp09L+7SLhYiICLaCfeXKFfL09Myz/tGjR1kgrYISHh5Ojx8/LqyoHGWIhIQEsrCwIDs7O2rRogUZGxtTamoqWVlZUePGjdl9uH79+lzHRO/evSN9ff1s7+WsKa3evn1LCgoKpKioSPfu3ZOY/EKhkNzc3MRShrVp04aVDxs2jAwMDEqV9Ye8w+fzqWvXrjRs2DBZi5Iv5F6xvX37Nuno6FBERISsReGQc3JTbF+9eiU228ghX6SlpYkFvJAnE2SizIGClZWVzPLnliZWrVpFXbp0oeHDh8ttAnhNTU0yMzOjz58/06dPn8jHx4f8/f0LFDhMlP8VAC1dupQ8PT0LrdgKhULW95+Tuw8ePCB1dXUCQFu3bs2WK3X//v1iA1NnZ2eKjY1lkXpPnjyZbzliY2Np8ODBtHDhQjFz7R49ehAAqlmzJh07dowCAgKoV69eBGRGXxUpf/Xq1SMA9O+//xbqd5BHLl26JPb7zpo1K9e6oiBSHTt2LHA/6enpZGFhwQ3mOQqEKB/sunXraNu2bbR+/Xrq0qWLmNKqpqZGffv2zfZsSU1NJR8fH/r+/Tu9e/eOmjVrRmpqamJj8aCgIDZpVdQJq7i4OKbIXr16leLj45mMWd+9/v7+pKysTDt27ChSfxwF4+vXr1SpUiW6c+eOrEX5K3Kt2EZGRpKuri7duHFD1qJwyDlCoTDbSgJR5mDM2tq61KWaKE38ueIjb4O3wMBALr1YGaJ69eq5muv+zc/R3d2dzp8/TwCoV69e9OvXLyKiPBXbiIgI+v79O504cYLGjx9PU6dOpWXLllFaWholJydTpUqVxBRDADR69Ggxn9asW9euXSk4OJiIMp+LwcHBtG7dOrE6ZmZmBIBWr15dqN+oc+fOBIBWrlxJBgYGBIAuXbrEyp88ecL6srCwoJiYGEpNTWX7Jk6cSJs3b6a4uDixQautrS2dOnWKbt26laeFTWhoKEVGRlJ0dDRt3LiRdu3aJbOI5XFxceTj48P+p169etHLly/F6vz8+ZMsLCyoS5cuBKBQ1mfPnz9n/ysHR34R+blraWnR7du36cOHDyQUCunSpUtirgl/S0e1dOlSAjJTCGUlPj6eKcpFcbfg8/k5Ps9atmyZrW6jRo0IQImItl+auH79OlWpUiVPU3Z5QK4V2/Hjx9PQoUM5E2SOfCFK+WNtbc32vXv3juVA45BPQkJC2EtMHh+YHh4eJTKXG0fhCA8Pp1evXlHTpk3JzMyMXr16xQZ1opylb968oc6dO5Oenh7VrFmT6tSpQw0aNBAbkGUdKIoU29+/f9PPnz9p+vTpNHXqVBoxYkS2gVxW64W/7VdQUKDw8HAiEl8lzmmQ+vnzZzI3Nxc7/vr164X6jUQKWtbtwYMHrDw+Pp6WLFlC//77L0VFRbH9ItPorFuvXr1YeVZTdR6PR//++6+YT65AIGArxH9ud+/eLdS5SIrQ0FAyNjYW+29MTEyyyamoqFio9BkfPnyQiTk7R8kmISGBPnz4QL6+vuTs7Eyenp4UGRmZ7br827NAdN/dvHkzW1lGRgbVq1cvW1C5nMjIyMh10iqriwSQGaQup7Q+IpPq0uKvX1IQCoU0ZMgQmjBhgqxFyRO5VWwtLS1JS0uL5cPj4Pgb/fv3p2rVqrEVAJFfibyaPHL8D9ELTR5nYB0cHNjKG0fZRTTY2rp1q5iyuXbtWlq5ciUtXbqUFi1aRB8+fMhmIfL+/XuxXJCiFZSWLVtSvXr16Pz582RjY0PBwcGUnp5O9+7dI3Nzczp9+jRdu3Ytx8ldPp8vtt/CwoK1LVJ2c+Lbt2905swZevLkSaF/i8DAQLKysmIrvwDIyMjor8clJiZS06ZN2TEtWrQgIDM4jCjQ1po1a2jfvn2sTuXKlSkwMJBevHhBysrKbH/Tpk3ZKikAuYlaHhERQZs3b6YqVapQ+fLl2SrXnTt36NevX4WO5hoYGChmjcTBUVBiYmLI2tqa5WDW09Oj0NDQfB378uVLAjJ96HO6hrt160YA8gyymJ6ezu6JjIwMsbL4+Hg2sfXkyZM8F7RErg6cYlv8BAcHk6amJllZWclalFyRS8U2NjaWqlatShcvXpS1KBwlhKymyKKHrq+vLzk5OclWMI58MXPmTAIyg83IExkZGWRpaSmR9CwcJZs/TX9dXV3zZU109+5d2r9/P02aNIkpbo8ePZK4z/aDBw8IQJ6uO5GRkWRoaEhLly6VWL9CoZAqVKhAWlpa+fo99uzZw37Djx8/UuPGjUlXV5e0tLQIAB0/fpyIMu+9JUuW5Lg6K3JXiI6OZvtKO/Hx8WRtbc35+nMUiZMnT9LAgQMJALm4uBToWFH6nfLly2dbMBD57S9ZsiTX44VCIRkZGZGxsXE2l6OwsDB2L4tSk+XGhw8fCAC1b98+W1wBDumzadMmqlKlitz+9gqQQzZs2IDGjRv/NfE5B4cIHo+HmjVrAgD27dsHoVCIwMBA1KpVS8aSceSHOXPmAADev38vY0nEiY+PR7ly5cQS23OUTUTXqIhGjRqBx+PlWt/GxgYaGhoYOXIkfH19Ub58eURERGDHjh3o27cvFBQk+/o1NjYGAIwbNw5eXl451klKSsKPHz/w6tUrifXL4/GQmJiIwMBAuLi44M2bN/D09ISPjw8CAgIgEAgAAHw+H2vXrkVaWhqMjY0xa9YsNG3aFJ8+fUJERARiY2NBRJg7dy4AQElJCfv378f27dsxefJkHDx4EE5OTmjWrBn69OkDHx8fVKpUiclBRBI7J3lEXV0dAJCYmChjSThKKuHh4bhx4wYGDBiAt2/fon379gU6fty4cRg7dixSU1NhaWkpVrZw4UK0atUKBw8ehJ+fX47HZ2Rk4OrVqzh16hQcHR0xduxY8Hg8VK1aFS1btmT1dHR08pSjefPm+O+//+Dq6op9+/YV6Bw4is6GDRtQvXp1rF27Vtai5IysNes/effuHamqqnJRbDkKzJ07d9iM38+fP/9qzsIhH3h7ezNfw1u3bslaHDH8/f3J1dVV1mJwyAGiazSr3+SiRYuoefPm1Lx5c2rdujVNmzaNfHx8WAApALRw4UJyc3MrFv/Ip0+f/tXfNDY2llJTUyXet8jqIqdt/vz5zJRRV1c3320KhUJ69+4dHThwgJkfirajR48SEbGorGUhc8Lr16+5/J0chebOnTukpKREFy5cKHRe9unTpxMgHstExKZNmwhArhYhu3btyvH5sHHjRqpYsSL7npOJcVRUFJ05cybbsSNHjizUeXAUjdevX1P58uVlkp/9b8iVYisQCKht27a0YcMGWYvCUUIRPRxfvHjBTY7IMRkZGRQbG0vz5s1jL6jGjRvLLLJpbrx9+5Z8fX1lLQaHjBGZyWlraxMRUevWrXNV4rJuDg4ORJR3VGRJEhcXl2uAF2nz8OFDseBJf267d+8mOzu7AuVxFSnDf25z585lyvnNmzcLZVZZEvn06RMXDJGj0IjSU924caPQPukXLlxg91tGRga1a9eOpfQSbd7e3tmO8/HxYeVnz56loKAgCgkJocTERIqPj6fIyEgKCQkhgUBAQqGQpk6dSm3btqUzZ86QQCBgrgp/bs+fPy/qz8JRSNavX0/t2rWTO/cIuVJsT58+TbVq1ZK7dB8cJYfGjRtT/fr1ycLCglNI5JC0tDQ6ePCgWBAYbW1tev/+fZ7pPWTF06dPKSwsTNZicMiYEydOEACytbUlosyVRD8/P/Ly8qK4uDjy8PCg9+/fk4uLCzk6OpKDg4PYqkNxKLbJyckscrIsIwT/+vWLFi1aREZGRqSlpUWXLl2iq1evikVHzi8fP37McTDr6enJ6ogivN67d0+SpyGX/Pz5k168eCFrMThKKAkJCVSxYkWqUqUK3b9/nz5//lzgNlJTU0lfX5+GDBlC//zzT7Z788yZM1SjRg0WQZ7ofzmc8f8Bq/h8PkVHR9Phw4ezHb9s2TISCARi+5o3by72vVmzZrRx40bauHEjRUdHS/In4igAycnJVKtWLTp16pSsRRFDbhTbiIgI0tbWJhsbG1mLwlFCEeVJnDhxIq1cuZIFapGG2R1HwREIBGRoaEgASFNTk5YsWUJWVlZy+/+kp6eThYVFoVJzcJQekpKS2ICqsNGxpa3YZo2IbGxsTGlpaVLrq7g5fPgwmZqaUtu2bWnKlCnZTHFF0aZPnz4tGwGLkcTERLKyspK7FRKOkoONjQ2pqanRpk2baMSIEWRhYVHgNrZv3y6maN68eZMSExOJz+eLrcymp6eLBXgDQK9fv2YuE6JNUVFR7LtQKKRp06ax7+3ataOGDRvSsGHDqG/fvrR161Yp/DIcheHmzZukoaEhV64gPCL5iLgwffp0xMbG4v79+7IWhaMEc/r0aZQvXx7v3r3D0aNH2f6PHz+iadOmMpSs7BIREYGpU6ciKCgI3t7emDNnDk6ePClrsf5KVFQU3r17h759+8paFA4ZERYWhlq1aiE1NRX//fcfNmzYUKh2Pn78CEVFRTRu3FjCEmZy6NAhLFmyBADQpk0bnDx5Eq1atZJKX/IEn8+HsrIygMz7tXLlyjKWSLoQEWxtbdGpUydoaWnJWhyOEoybmxu8vLzw33//4e3bt6hSpUq+j83IyIC7uzt4PB4aNGggFsQNANatW4fY2FgcPXoU3t7eMDExybO9kSNH4u7du+z7jx8/YGhoCAC4du0axo8fX4Az4yhuOnXqBGNjY1y4cEHWogAA5CIq8ocPH3Djxg3s379f1qJwlHC0tbWRlpaGXr164cOHD+jatSsAwMTEBAkJCTKWruzh4uICPT092NnZQVdXF/PmzcPhw4dlLVa+iI+P5waPZRCBQIDdu3ejR48eqFq1KlJTU9G6dWusX7++0G1Ke/546NCh7PObN28wcuTIUh8lGAB7pg8YMKDUK7VAZgRqLS0txMXFyVoUjhJOmzZtoKuri8qVK6Njx45ITk7O97HKysqoXr06QkJC8Pz5c/z+/VusfPv27Thx4gQsLCxyVGpNTU3FvvP5fLHvIqUWAKfUlgAOHTqEGzduwMPDQ9aiAJADxZaIsHTpUixcuJBLzcJRZAwNDWFqagozMzM0b94cV65cYdeVtFZLOHImLCwMAwYMAACcO3cOL168wLFjx1CuXDkZS5Y/4uLioKmpKWsxOIqRpKQk6OvrY/Xq1XBwcICuri4eP34MFxeXPFP7yBojIyMkJCTg06dPMDQ0RGBgIPT09PDs2TNZiyZVTp8+DSBzxaesoKmpifj4eFmLwVHCUVBQQN26dbFq1SoEBASgffv2BZoMmz9/PkaNGoVRo0Zhz549OdYR3Zc7duzA+/fvsWrVKgDA169fAYCtEltYWLBjHBwc0KNHD7Ro0QIrVqwozKlxFDNt2rTB8OHDsXDhQrmYUFWStQBWVlb4/PlztpxYHBwFJTU1FREREWIzhIaGhvj69SsUFRVRu3ZtGUpXdkhMTISNjQ3GjRsHIFOpnT59uoylKjgJCQmoVq2arMXgyIXPnz+jZ8+e0NDQwLNnz2BgYFCk9vh8Pnbv3o2oqCg0bNgQHz9+hJKSzF+R+UZdXR2NGzeGn58funbtijdv3qBXr16oW7cueDweKlSoACLCnj170KhRI9SoUaNQ/URGRmLfvn3g8/lQVFSEoqIilJSU0KBBA0yYMEHCZ5U3x44dAwBMmTKlWPuVJRoaGggKCpK1GBylAAMDA3z79g07d+7EmjVr4Obmlu/ctkuXLgWQmW+6e/fuYmWbNm2Cv78/qlevjuDgYLi6usLKygrXr1+HqakpBgwYgPbt28PV1ZUdc+7cOTRq1AgdOnRAt27dJHaOHMXD/v370ahRI1hbW8PMzEy2wsjMu5cyI6TWq1dP7iJqcZRM/P396fXr19n2i1JgyPhyLxP4+fmxyKwowZFK+Xw+WVpaUlJSkqxF4ciFu3fvsuvs7du3RW5vypQpBIAqVqwo8fzXHh4exZLuJysBAQE0cODAXNPvTJw4kU6cOJHv9oRCIV29epUdb2BgQPXq1aPatWuzfYcPH5biGWVHSUmJlJWVy1S+8ri4OLK2ti5T58whPRwcHOjbt28ssKMkgrCJxgDnz58nJSUl9nyYP38+paWlEQAaPHgwqaurEwBavny5BM6EQ9asWrWKatWqJfPghTId6R88eJAaN25MGRkZshSDo5Tw/PlzCgoKyrZfKBRyim0xcPHiRfY7//fffyU6TU5sbCw9fPiQGzzKMQKBgDw8POjz588S+Z969OhBVapUKVQKjL8hC8VWRFBQEPn6+pJQKKSAgAC6e/cuNW7cmN2rBw4cyFc7WVN2TJw4UawsKiqKlXXt2pWOHDlCvr6+hUrxk19iYmIIAC1atEhqfcgjAoGALC0t6ffv37IWhaMUEBAQQLa2tmKTXj169KC4uLhCt/n9+3d68eIFCYVCCg8PJxsbG9Z2QkICASANDQ0KDg4mT09PmStCHJIhJSWFDA0N6eDBgzKVQ2Y+tnFxcfjvv/+wb9++EmXuxSGfxMfHIykpKUfTUR6PB0VFRQBAbGws25+YmIjQ0FDOX0kCHDp0CFOnTgUAPH/+HBs2bICenp5shSoCCQkJ0NTUlGu/yrKOgoICmjVrhkaNGhX5f/L398fz588xYMAANGrUSEISygeGhoaoX78+eDweateujREjRuDTp0/sWXj//v18+UVt2bIFAPDy5UtcuXJFrKxy5cqwtLTE5MmT4ejoiIULF6JBgwbQ0dHB06dPJX9SAAs2WZBorqUBBQUFaGhocO8tDolQvXp1pKWlQV9fn+17/vx5kWKSGBkZwdTUFDweD1WqVEH58uVZmbq6Ovr16wcAqFq1KkxMTEpM3A2OvClfvjzWrl2LTZs2yfT5JDPF9uDBgzAxMeFSaXBIhF+/fqFq1aq5TpL06tULAPDlyxcAmQpu9erVUa1aNWhpaWHZsmVITU0tNnlLE69fv8aSJUtQpUoVhIeHZ/O3KYkkJCRAQ0ND1mJwFAMZGRkwNjYGAAwePFjG0hQfWlpa6NmzJ16/fg1nZ+e/1ldTUwMA1K9fP8dyMzMzXLp0CaGhoXj9+jUL7NS7d29UqFAB5cuXR926dXHjxg1YWFggPT09Wxv+/v6wtrZGtWrVULduXTRp0gSNGjXCjRs3xOoJhUJs374dALBgwYICnXdpQENDg4vyzyERVFRUoK+vzyauRAiFQon10alTJ6irqwMA2rdvj0ePHiEhIQHh4eES64NDPpgxYwZq1qyJAwcOyEwGmSi20dHROHjwILZu3cqtiHAUGSJCcHAwqlevnmsdUTqMgIAAAIClpSUSExNZUKMDBw5AVVUVgYGB0ha31LFv3z4AmZENS8vqCafYlh0SExMBAIsWLcLw4cNlLE3xcu7cOQBA586dUa5cOfB4PEyZMgX3799HRkaGWN0uXboAgFi+yZzQ19dHp06dMGvWLHh7e+PIkSPYsWMHGjRogICAAIwfPx7Dhg1DpUqV0KNHD7x58waRkZF4/vw5jI2NYWZmhtDQUGhoaKBXr17w8fFhx0yaNAlTpkyBjo4OAGDu3LlswFyWUFdX5xRbDolRo0YN1K1bF35+fli9ejUAIDQ0lAVnKyoqKirw8vICkJk/F8i0PMi6SsxROlBUVMTq1atx4MABxMTEyEQGmSi2+/btQ4cOHdiLkoOjKMTGxoLP5+epVCkoZF7qojqih+vw4cMRFxeHhg0bAoCYyUxZIC4uDj9//iz08UQEZ2dnrF+/Hh06dJCgZLIlMTGxTA6YyyIiS40+ffrIWJLix8jICBYWFjh58iQOHToEALh8+TJGjBiBSpUqiZkci6JOF8TErGHDhliwYAEWLVoEDw8PJCcnIzExEUuWLEHbtm3h4OCAtm3bokqVKujZsycA4ObNmwgJCcH79+9x6NAheHh4wNTUFHFxcfjx4we+ffsGY2NjtGvXjk2qlTU0NDTYhAwHR1HR09Njqc527tyJBw8eAMi0hpDUym3NmjXh7u6OGTNmAAAWL14skXY55I/x48fD2Ng41zRQ0qbYnVsjIiJw9OhRPH/+vLi75iilBAcHo2rVqkx5zQltbW0AwKNHj9CrVy80bdoUQKZZjKamJurWrQsfHx/8+vWrVM8i0v+n+wgPDwcRscHsnDlzUK5cORARypUrhxUrVuTLR/br16+IjIxEx44dpSx58ZGeno7U1FROsS0jiExi165dy/IulyWGDBnCPs+ZMwdpaWlYvXo1jhw5gsmTJ8POzg69evVi1i29e/cudF+qqqoAwMzUPn78iI8fP2LdunX4/fs3Dh06hDFjxogd06xZM7x48aLQfRYXRIT4+HioqqpCRUVFqn2pq6sjKSkJAoGAxY/g4CgsysrK0NfXR3BwMCZNmgQrKysAwNixYyVqVdmmTRv4+vrCysoKBw4cwIwZM9iiAkfpYt26dZg4cSKWLVsGXV3dYu272BXb3bt3o1u3bmjRokU2UycOjoIiMkM2MTHJ83oyMTGBqqoqnJ2dkZGRgZs3b8LAwADq6urIyMhAp06d8PTpU+jr65fq63Lw4MFwdHRExYoVUaNGDTbQvHTpEipXrgwej4eoqCicOHECK1euxLp16+Di4oKgoCCoqamhf//+UFZWZu25uLhAVVUVrVu3LjW/W2xsLFRUVMDj8UrNOXHkTtWqVVGtWjWkp6dL7f8WCoUQCoUl4npSUlLCvn37MH36dAwbNgwWFhawsLCAqqoqrl+/jubNm0vsPBo2bIiGDRuKKbMl4Tf6EyJC69at8fXrVwDAihUr0KhRI6mZtispKUFBQQFxcXGcywSHRNDX14evry/s7e3ZuOD79+949uwZ2rVrJzFrtl27diExMRFGRkZQUFAokfc7x98ZPHgwmjZtip07dxa7vy2P8hMOUUJERkaiZs2auHLlChcJmYODg4ODg4ODg4ODo5QREBCAtWvX4ufPn8W6alusiu2mTZvg6uoKW1tbiUZc4yi7+Pr6Ii0tDc2aNftrXVNTU3h4eAAArl27hgkTJgDIvC61tbWxePFizJ49W2Z+AQUhNDQU3bt3R2hoKIBMh/1y5cohJSUlW93IyEh4e3vDzs4Ou3btYvvyCrE/ZcoUWFhYAMj0l2jVqhWWLVsGHo+H2NhYZp508uRJrF69Gra2tujUqZOEz1I2+Pj4QCgUFindAYd8IBQKERkZiSpVquRoUkdEMDAwQGJiIm7fvi21KP2fPn2CkpISGjRoIJX2OWRH48aN8evXLyxatAjLly9nqXgaNWqE379/48WLF2jRooXE+/X09ISqqiqL6M3BUVTevXsHDQ0N1KtXDwDw7NkzDB8+HMOHD8eFCxdkLB1HSaR9+/YYNGhQtqjbUqW4EuYmJSVR5cqVyd7evri65CgDPH36lIKDg4mIKC0tjapVq0ajR4/Ose6XL19YkvDhw4eTsbEx+962bVsCQPv37y9O8QvF06dPmdyTJk0iS0tLio6OpvT0dHr8+DFZW1uTl5cXlS9fXizpetYtICAgzz4iIiLI3t6e/P39iYiIz+ezY6dMmcLqXb16lQDQ0aNHpXnKxYqLi8tffx8O+SctLY3q1KlDAOjq1avZyoVCIXXs2JEA0KZNm6Qqi4eHB3369EmqfZR2nj9/TmZmZjR79mzi8/myFofRv39/ApBtbOPg4EAAqFq1apSSkiLxfv38/OjNmzcSb5ej7BIUFEQvXrxg3799+0YAaNasWTKUiqMkc+7cOdLS0qKkpKRi67PYFNtjx45R8+bNSSgUFleXHKWchIQEsrKyooyMDCIiCggIIACkra2d6zFRUVFMQVu5ciX7XLduXfZZ1J688fXrV5oyZQqT8969e3nWj4+Ppy1bttDq1atp9erVdOXKFXasQCAocP8RERHs+OTkZCIiCgkJIQBUpUqVQp2TPGJvb0/h4eGyFoMjF+bOnUsAaNmyZURElJ6eTu/fv6f09HSxelknrk6dOiVWdv/+fapYsSIrT0hIkKrMnGJbdFavXs3+r2vXrslaHEZOz0URU6dOZe8XSRMcHEwODg4Sb5ej7JKamkqWlpbsOv706ZPYs5aDo6Dw+XyqU6cOHTt2rNj6LJZ0PwKBAAcOHMCKFSu4vLUcEiM8PBy6urrMX7t27doICgrKMRdteno67t27h8TERFhaWgKAWHqgVatWsc+DBg2SruAFJCwsDPXq1UPdunVx6dIltG3bFp6enn8NTKKhoYGNGzdi586d2LlzJyZOnIiIiAjExMTkGUE6N3R1dbFw4UJoamqy4BKiCNJ8Pr/gJyaHCAQCJCUlcRGR5RhXV1cAwPv37/Hw4UOUK1cOLVu2xMGDB8XqffnyBQAwcuRIDB48mO1/+vQphg8fjt+/f2PNmjXc/11CaN++Pfs8ZcoUJCUloWfPnqhTpw6uX78uM7l0dXWxbt06AMDChQvFyszNzdGnTx98/fpV4ul5KlasiN+/f4OKz5uMo5SjoqICbW1thIeHAwAaNWoEABLLmbx+/XrweDzs3r1bIu1xyD+KioqYNm0a9u7dC4FAUDydFof2fPv2bTI0NMw2o87BURRevXpF379/z1ddkcnsyJEj6fr16wSAPnz4QK9evSIAZGlpSXFxcWzm3dLSUi6sC969e8dkGjBgADk5OclMFnd3dwJAgwcPFtvfuXNnMjU1lY1QEiY+Pp6sra3l4r/nyBkXFxe6fv066erqkqqqKrs/tLW1SUdHh96/f0/m5uZs/8+fP+n58+f09OlTqlmzJtv/+PHjYpOZW7GVDN26dWP/X6VKlcTcKyIjI2UmV3JyMmlqahIA8vDwECtzdHQkANS1a1eJ9snn88nCwiLbKjEHR1H48uULubi4UGxsLHXp0kWiFlmie7VFixYSaY+jZJCcnEy6urp0586dYumvWFZsjxw5gkWLFomlCeHgKAoZGRmIiYkRW3XNi7p16wIA7t69i/Hjx0NfXx8mJiYs+NLixYuhqakJNzc3AJm5HUWBlmTFlStX0KpVKwCZwa5sbGxkmi/21q1bAMDyWYp4/fo1Xr58ibS0NFmIJVGSkpJQoUIFzrJEjunQoQPGjx+PyMhIFizN0NAQsbGxiIqKwo8fP5jVhomJCe7du4cePXqgV69eCAoKgomJCdzd3dGnTx8ZngVHYRAFtAOAmJgYAP+zGtHV1cWPHz9kIRZUVVVZ7s9Ro0ax3MgA0KlTJ/Tu3RuOjo6oXr06TE1N8e7duyL3qaioCDU1NSQlJRW5LQ4OEXp6eoiKisLs2bPx6tUrKCgoSCyP9M2bNzFhwgTY2tpKpD2OkoGqqirGjBmD/fv3F0t/Uldsvb298fbtW0ydOlXaXXGUIaKiolChQgWoqanlq36dOnXEvjs4OEBBQQFmZmYAMvO1CYVCtG3bFk+fPgWQOXAiGZl5CQQCzJ49GwDw8uVLjB8/XiZyZEX0W/ypwM6cORMA8OrVq2KXSdIkJyfn+5rikA3Tpk3D4MGDER0djcTERERGRsLKygrdunVD9+7d0aJFC2zatAk/f/7EixcvsHjxYgDAt2/fEBQUBA8PD7Rp00a2J8FRKDQ1NREXF8cmns6cOQMvLy/2H4ueRbKga9eu+Pfff+Hv749mzZoxszsFBQWcPXsWW7ZsgbKyMhwdHdG6dWt8//4917ZEOY/5fH6e7yBOseWQNOrq6lBSUkLLli0BZJohN2zYUCJtjxkzBlevXmWTURxlh6VLl+Ldu3fw8fGRel9SV2zPnj2LkSNHolKlStLuiqMMERkZWaC8WDo6Onj8+DH7fvz4cQCZPiUTJ04EACxatAgAoKWlBQDYt29fNp+p4sLb2xspKSlwcHBA165dZSLDn4iU65MnT4rtnzVrFgAgJCQk2zFnz57Fxo0bS0x6L9GKLYf8Ym5uDisrK1SqVAkVK1aEjo4OmjVrBgcHBzx//hyGhoZQUFBAjRo1mK/Y1q1bUatWLRgaGnKr8SUcTU1NTJo0CUDm6pKOjg4OHjyIcePG4cmTJ+x5LguOHj2K5s2bw9fXF5qamoiKigIA1KxZExs3bsS3b9/YxGnt2rUxYMCAbH5noaGhLH2bsrIyVFVV8fPnzxz7q1ChAqfYckgUHo+HypUr49OnTwCA4OBgGUvEURqoVasWunTpgtOnT0u9L6kqtqmpqbh06RIb+HJwSIqIiIh8myGL6NOnD1O+jh07Bh6Ph23btrG8tceOHYOTkxNatmyJ169fs30jR46UrPD5wM3NDQoKCmjdunWx950bIrNoRUVFsf0iszsTExMAwNWrV8Hj8aCrq4tZs2Zh69atePLkSYkIcsIptqWHuLg4ttIgbwHhOIqGyKTNzs6O7Tt8+DCATLeNb9++yUQuRUVFvHnzBoMHD0ZSUhL09fXx+/dvVq6goICePXvC2toaKioqsLOzg56eHjp27Ih58+Zh2bJlqFatGoBMd5hRo0YhLS0t1xyQFSpUQHJycrGcG0fZ4dy5c2jevDl0dXVZTtuisG/fPvB4PNStW7fETHJzSJ7p06fj4sWLSE1NlWo/UlVs7969Cz09PXTu3Fma3XCUMZKTk5GcnIzKlSsX+NiqVavC1dUVW7duBQBs2LABhw8fZsnHly5dCh6Ph06dOjF/W1kMktzd3SEUCqX+ACgMz549w/v379n3T58+QVFREQ0aNADwv2i0UVFRWL9+PQCgf//+bPVMnuEU29KBubk5tLW1AWROaIkmXThKBzo6OtDR0cGpU6fw69cvAJk+tu7u7gAgU9cNJSUlWFlZYfHixRAIBPD29s5WZ9CgQUhKSsKKFStgZmaGd+/e4cSJEzhw4ACAzJXfvn37YtiwYRg9enSu7yDOFJlD0sTExODWrVuoVasWPn/+LBELlxUrVgAAAgICJB4dnKPkMGbMGKirq+PevXtS7Ueqiu2ZM2cwa9YszvSLQ6JERUVBS0ur0MHI2rVrh/Xr17Oba/fu3RgyZAgUFRXRvXt3Vq9t27aoXr06evbsKRG5C4IonY6fn1+x950XInPuOXPmMDO7z58/o27duihfvjwAYMuWLQgNDUViYiJLzQKgQKbjsoCIkJKSwvnYlnDi4+NZgLPNmzfj8ePHhUpvxSHf3L59G0BmsCYRrVu3xtChQ+Hm5oY7d+7ISjQAwNq1awFkvm8GDx4MdXV1bN++nZUrKipiz549MDc3R0xMDF6+fIkXL14gIiICEyZMwNy5czF+/HgYGBjAwcEhR4WAW7HlkDTa2tpIS0tDSkoKMjIyJNr27NmzoampKdE2OUoOioqKGD58OI4dOybVfqT2tv/+/TtcXFyYLwwHh6SIjo4u1GrtnwwfPhybN28GkOk3KhAI4Ovry8p//fqF4OBgeHp6Frv5TJMmTcDj8dCsWbNi7fdvmJqaQlNTE2/evIGuri48PT1x5MgRlu8OyPTR0dfXR8WKFdnqp6+vbzYTZnkjLS0NQqGQTSpwlEwuXboEANi+fTs2bdokY2k4pIWpqSkaNGgAV1dXODk5Ach89hw6dAgAMG7cODEz4OIm6zvq4cOH+P37N9avX5/jZGWFChXQtWtXmJqaonLlyjAwMMjWjra2NubMmYM5c+Zg3rx5CAgIgKqqKtLT00tNHnEO2cPj8TBo0CB8+fKFRR4vKm/evMGVK1dw9OhRibTHUXJZtGgR3rx5wzIXSAOpKba3b99G7969oaOjI60uOMooklJsAaBHjx4AwNLoWFpaMuVWQ0MDAGBvbw9FRUU8e/ZMIn3+DV9fX8yaNQt16tRBxYoVi6XP/KKiooKIiAj2+x85cgQAsvnRP336FE+ePMGUKVPg4OAANTU1XLp0CfHx8cUuc35JSUmBioqK3CvgHLmTnJzMgsCJVsw4SicKCgpsEmPy5MlsdalmzZpYuHAhBAIBmjZtKlP5unTpwr6LMkPk5doiFArRoUMHMfPiHj16YMmSJWjWrBnevn2Lt2/f4sSJE6hbty50dHSQlpaG+vXro1q1anj69Ck+f/4MKysrWFtbs02UwszU1BTm5ubg8Xjg8XjQ0NCAmpoa2rZtWyJiIHBIn/379+Pu3bt48eIFoqOj2f7Pnz/j6tWr+PDhQ4HbbN26NSZOnMil/ORA7dq10blzZ5Y+UipIK0Fu8+bN6eLFi9JqnqOMkpKSQhYWFpSWliaR9vbs2UM8Ho8yMjJoz549BIBOnz7Nyv39/alJkyYssbhQKJRIv7mRlpZGRkZGBIDc3Nyk2ldhSU1NpTNnzrDfpFevXmLliYmJrAwA8Xg8mjp1KgGgCxcuyEbofBAcHEwvXryQtRgcRSA0NJQA0LZt22QtihgeHh706dMnWYtRKhk+fDgBoIcPH7J9QqGQTE1NicfjSf2ZnRe/fv0iJSUlAsCemefOncu1/pIlS9hz89u3bwSA7t69m63e06dP6eDBg3TgwAG6ffs2TZkyReyZm59t4sSJtH//fjI1NSUAFBkZKc2fgqOEULFiRQJANjY2ZGlpSRkZGbR161Z23VStWjXPeyo1NZXS09OLUWKOksaFCxeoRYsWUmtfKoqtr68vqaioUFxcnDSa5yjDBAcH07NnzyTW3tixYwkAOTs7k7+/PwGgNWvWZKs3efJkAkCvX7+WWN854e7uzgYd8ohAICAApKysTGvWrKGRI0eSpaWlWJ02bdqwl+CUKVPo+PHjZGlpSRMmTKAfP37ISPK/4+/vL7eTCRz54/bt2wSAnjx5ImtRxOAUW+mRnJzMnjcCgYDtv3r1KgGgJUuWyFA6ot+/f1NMTAydO3eOANC+fftyrOfk5MTOIyIigoRCIfuelJSUa/tOTk70/ft3CgsLoyFDhlDXrl3pypUrFB4ezraIiAgSCAQUHh5OYWFhFBsby45///4962fSpEkynQjgkB3h4eE0cuRIsUn8x48fs8lCADRixAgCQAEBAWLHxsbGkrm5OX379o2UlZWz3YscHFmJjY2lcuXKkZ+fn1Tal4piu2XLFho6dKg0muYo43h5eZGHh4fE2rtx4wYBoMqVK9OTJ0/YA/zVq1di9f79919W5unpKbH+/+T8+fPE4/HyHMjIkrS0NNLQ0CBNTc1c62RdFbh3755YmYuLC7Vu3Zrs7OykLGnB+fjxI338+FHWYnAUEgcHB3bd+fv7y1ocMTjFVrrMnTuXANDOnTvZvuTkZNLW1iYANGfOHJkrbPv27SMA1L17dwoLC6PExES2OTg4UPny5QkAPX/+nB2zbds2AkDTp0/Ptd3379+Tt7d3oeUSCoVsQggAvXv3rtBtcZRcduzYwa6B79+/ExHRmzdv6MiRIwSA2rRpw8ZL165dY8c5ODhQnTp1CACNGTOGypUrR+rq6pSamiqjM+EoCQwaNIi2bNkilbal4mN769YtjBkzRhpNc5Rx4uLioKWlJbH2unXrhm7duiE6Ohp9+vRh+7t06cKi/gLAiRMn8ODBAwBAs2bNpOYr6uXlhbp168ptZN5y5cohPj4ecXFxudYRBeQCgBo1aoiVPXv2DG/fvsWbN2+kJGHhSU1N5QJHlVBcXFxYRHNHR0fUrVtXxhJxFCeitGJr1qzBw4cPAWRGlr98+TLU1dVx6tQpHD9+XKapcQYOHAhTU1M4ODhAX18f6urqbOvevTtSU1MxZcoUdOjQgR2zaNEiqKmp4fz58+jYsSNLQZeV8uXLFyktHI/Hw6hRo9j7buPGjbh27ZpcpprjkA6PHz9mMQmio6NhZGQEIDNgmSiAlI2NDfMPb9GiBTv248ePCAgIQMOGDTFy5EikpaUhISEBKioqxXsSHCWKjh074urVq9JpXNKa8pcvX6hcuXKUmJgo6aY5yjhCoZCsra0pPj5e4u3a29uz2cqmTZsSgBxXJfv27UsAqEaNGhKVQSRH27ZtadiwYRJvuzjJakIXFRVFRET37t2jNm3a0KtXr+jhw4eUkJAgYymz4+joSD9//pS1GByFoHXr1gSArl69KmtRcoRbsZU+ISEhBIAOHDggtv/9+/ekqKjI/FxlSUZGBhkaGhIAatmyJd28eZNtrq6uOR4TGxtLBgYG7Jnau3dv6t27N7Mq+v79Ozk7OxdZNqFQSPXr12f91KtXj/h8fpHb5ZBf0tPTafTo0ew/79Onj1h5eHg4XbhwgUSqgmiclNVCIDk5maysrCgiIqJYZeco2YSEhJCysrJUrKuUJK0o29jYoFu3bnIXzZWj5CPK4yfpa4vH46FXr15wcnJCp06d4OXllWtdW1tbKCoq4tevX7C0tMSQIUMkJsfu3bvh7u4ulylKfv36BWtraxY508jICAMGDMixLo/Hw6ZNmyAQCFCpUiUAwP379/HmzRv8+PEDaWlp+Pr1q9isrzyQmprKcvFylBysrKzw9u1b/PPPP5gwYYKsxeGQEVWrVkX16tWzWZO0aNECfD4fPB4Ps2bNQtOmTdG+fXuZyKikpISgoKACHaOlpYWgoCB4eHhg9+7dEAqFuHPnDuzt7WFtbY3WrVtLZHWVx+PBx8cHRITu3bvD0dER+vr6+PLlC7S1tYvcPof8ERISwvJBv337Fq1atRIrr1SpEjQ1NbF48WIAme9xAPD390fDhg0BZFpGDB48uPiE5igVVK1aFU2bNsXDhw/Z9SUxJK0p9+zZk44cOSLpZjk4KCgoiBwdHaXaR/Pmzdns5bRp03Ks8+bNGwJAnTt3lmjfZmZmpKurKxermUlJSbRhwwbq3r07dezYMceomt27d6euXbvSkCFD/hooIiQkhOzs7MjGxoYAUPv27SktLU1ufImFQiFZWVlxliYlDIFAQFpaWizgjrzCrdgWDw0bNiQAFB4enq3s0qVLBIA6dOggA8kki62tLXsOP378mGxtbSXafnp6Og0YMIAAkIqKCoWGhlJKSopE+5AHhEIhxcbGlhl/0MTERIqJiaGYmBi2EguALl26lOsxFy9eZMEsRfXLyu/FIV2WLFlCpqamEm9Xoj62CQkJcHR0xMCBAyXZLAcHAMn71+bE9u3bMXbsWGzYsAHm5uY51hHNVL5+/VqiCcd9fHwwYcIEqKurS6zNwvDgwQNUqFABW7duhYODA5ydnVmZiYkJvLy8MGHCBOjr68PFxQWWlpYwMDCAh4dHrm1WrVoV/fr1Q/PmzTFt2jSsWrUKurq6qFChAgIDA3H+/Hn8+vWrGM4uZ9LT0yEUCrkV2xKGyN+7c+fO0NXVlbU4HDJGFNtDT08PwcHBYmWTJ0/GggULmOVPSaZ///54+/YtAGD+/PlIT0+HQCCQWPvKysqwsbHBnDlzkJaWhqpVq6Jy5crM37I04OnpCSMjI2hra6N69epIS0uTtUhSwd/fHxcvXsTp06ehrq6OSpUqoVKlSpg2bRqAzHzfkydPzvV4RUVFEBEOHToEIDM/M+c/yyEJxo4dCycnJyQkJEi2YUlqyXfu3KFGjRpJskmZkZycTMOGDZNa1C6OguPo6EhBQUGyFoOIMldgAJCRkZFE2ktLSyMAdOLECYm0V1iSk5NZHrus28qVK0lfX5/09fVZJM+kpCRKTk5mK2b4/5y2AwcOpODg4L/2ZWxszHKOAqBVq1YVwxnmTHx8PFlbW8usf46C4+fnR23btiUAZGVlJWtx8oRbsS0+skaw/zOf8YYNG6QSH0FWzJw5kxQUFOj+/ftSsX65e/eu2Hsgp3RoKSkpJXI1t1OnTmLnNnPmTFmLJHFSUlJYih7RduDAAbp79y7dvXuXvLy8/tqGo6Mjbdy4kR0v6/RZHKULQ0PDHHN1FwWJrtg+fPiw1KzWvnz5Eg8ePMDJkydlLQoHACJCQkICNDU1ZS0KgMzIyB06dEB0dDTzOy0KYWFhADJXjGWFk5MT1NTU8Pv3b7avevXqWLFiBWbPno3OnTsjLCyMRfKsUKECRo0aBU9PTzx48AAjRoxAYGAgbGxsUL16daxZsybP/vz8/EBE6N27N8aMGYMRI0YAANzd3fHw4UOJ/K75hfOvLXm8fv0a7u7umDBhAtq1aydrcTjkhBMnTuDMmTMAkM2iRktLK8+I7iWNM2fOQCgUIj4+HsnJyRJv397enn1u1apVtmjjDg4OUFVVhaqqKltBliceP36My5cvIzQ0FAAQGBiIy5cvY8uWLXByckLz5s2RnJyMypUr4/r168X6zpEWvr6+uHz5MubMmQNVVVXcu3cPADB8+HDcvn0bS5YswYgRIzBixAg0adLkr+01atQIHTt2ZJZkgwYNkqr8HGWLDh06wNLSUqJtSix4FBHhyZMnuHbtmqSalCmil8SiRYsAZAb2+fz5M06dOiW3qVhKM8nJyRAIBDI3082Kt7c3EhMTYW5ujunTpxepLQMDA1SoUAHBwcGIjIyUiFmlUChkn1etWgV/f3/2nYjQo0cPdn0DEBsYKSgo4M6dOxgxYgT27t2LsLAw7N69mymfRITx48fDxsYGNWvWxJAhQ0BE2LRpEypWrIhhw4Zh165dCAkJwZkzZ/I0XWrbti1u3rzJvouUlLCwMOjp6RX5d8gPaWlpnHlVCYKIsG7dOgCQXsoAjhLLzJkzkZiYiGXLlsHOzg79+/cHAGhqauL379+4ffs2Ro8eLWMpi867d+8AAHw+H3w+X+Ltb968GVeuXEFycjJ4PB4LBigiq/mup6cnWrduLXEZCkN0dDSmT58uNmAeMmRItgH0li1boKqqitOnT2PkyJGIjIxElSpVilvcfHHx4kXcv38fCgri61FjxozB2LFjQUTYtWsXey6KOHbsGNq2bYs2bdoUql8NDQ2kpqZiwYIF2LFjh0RN3jk4+vbti1WrVoGIwOPxJNOopJZ+vby8SE1NrVQ5lWdkZLDP+H8zDE9PT7KwsKDk5GQZSlb2CA4OJgcHB1mLIYabmxsBoFmzZkmkvYULFxIAcnd3L1I74eHhtH379mzmxFpaWjRo0CAaNGgQAaBWrVplOzYjI4PS09NJIBBQaGiomCnynwgEAtq7dy8NGDCAtVm5cmUSCoXk7OxMampq7PgVK1aQvb09CYVCdrxQKKTHjx/TvXv3xFI4rV69mqZNm1asqSb8/f2L/LtzFB8xMTEEgHg8nqxFyRecKXLx8+nTJwLAAt8QEQUEBBAAGjRokAwlkwy/fv1iz9eHDx/S9+/fpdKPQCCgDRs2EAAaMmQIey6npaXRzp07mQympqZiz3dZ0qJFCwJAdevWpaVLl7L33oABA2jfvn2UlpYmNr7z8vIiAGRsbCxDqXPn8+fP7HcWnYvondu0aVNq06aN2Lv+9OnTlJaWJrF36JMnTyg8PJzS09Ml0h4Hh4i4uDhSUVGR6PtRYortgQMHqH///pJqTu54/vw5PX78mEUK7Ny5My1YsIDL81ZM+Pj40Lt372QthhizZ88mAHTx4kWJtHfjxg0CQBYWFkVqZ+bMmewFd+TIETI3N6erV6+K+UGZmprSmDFj8mxHKBTSgwcP6MKFCzlGGf2T2rVrEwDauXMnEWX695w8eVLshZvV9/bjx49s/6FDhwp5tpLh06dP5OnpKVMZOPJPUlISu3ZcXFxkLc5f4RRb2TBo0CAaPHiw2L5JkyYRAPL19ZWRVEUn6/W/YsUKevfunVTPJyoqisqXL8+Uv71795Kurm62yVNJ5NOVBP369SMA+R6fCYVCGjhwIAGgO3fuSFm6grFz505q2bIlAaDjx4+z/b9//872+5ubm0slF7ubm5tU8o1ycBBl5qE/ePCgxNqTmGLbr1+/bInRSyOHDx8mPT099iDh0oMUD66urnL1YI2PjydNTU0aMmSIxNoUKXq9e/cuUjumpqY0YMCAHAN6CAQC+ueffwgArV27tkj9/MmPHz/EXrI6OjoUGhpKycnJ2RTcRYsWUWRkJPXu3Zvatm1LHz58kKgsBeXt27cleqBbFnFwcGDX0/v372UtTp5wiq1sGD9+PHXt2lVs34MHD9h14+PjIyPJCs/nz5/p0KFDYu+K4piYS0tLo2HDhok9xwcMGEAxMTEUGxtLAOj69etSlSG/dOrUiWrXrl2gY75+/crOa8OGDVKSrGDcu3ePydS3b1+xVXmhUEjlypVj5WfOnJGaHD4+PvT27Vuptc9RtlmwYEGRx71ZkYhim5qaSqqqqmXmxe3t7U2HDh2i0aNH05w5c2Q+KC8LiExh5IWVK1eyCIOSRPSSKopZrIGBQa5K67Nnz5gJZ2hoaKH7yA0PDw8aPXo0O48fP34QUaa5ycmTJ+nIkSOszM7OTuL9FxYnJyepmfJxSA/RhEnLli1lLUqecIqtbJgzZw61aNEi2/49e/aw59CmTZvkxoQ2P2SNWu/k5ERExetK8eHDBzpy5Ag9efKE7ROZyu7Zs6dYZMgLe3t79vsUlKzKraQnfguDqalpntYF58+fZ/IuXbpUanLIoysYR+nB3t6eypcvLzFXVolERXZycoK2tjYaNWokiebknoYNG6JDhw64ffs2Tp06hRYtWiAjI0PWYpVaMjIykJycLDcRkQHgw4cPAICOHTtKtN2nT58CyAyolJKSUuDjN2/ejJ8/f6JOnTo5louCZ/z+/Rv6+vqFFzQXmjVrJiZ3y5Ytoa+vj/r162Pz5s1iUZ/v3bsHMzMz6OjoQElJCYcOHcK6deugq6sLdXV1tG/fHq6urvD09JR6tEoueFTJpGfPngDA/XccOaKlpYUPHz7g9u3bYvtXrFjBMh5s2bIFnp6eshCvwFhaWuL379+YMWMGwsPD2ftHRUWl2PKwNm/eHAsWLEDv3r3ZvocPH7IyWREUFAQ7Ozsml5OTU4HbqFOnDsLDwwEAO3bswJw5c8SCMBYXAoEArVu3xsuXLwEAtWrVylYnKCgI//77L/t+4MABtG3bVirBnTQ0NJCYmCiT34Kj9NO9e3eoqanB2dlZIu1JJCrys2fP0LNnT8lFtCoBODk5oXz58jAxMYG7uztOnDghFmGWQ3IkJiZCRUVFrgavEydOhL29PaZOnQofHx+JtduzZ08WvbGg95O/vz+2bNkCTU1NDB8+PMfyI0eOoFq1aoWK7B0eHo5jx47BzMwszwiLSUlJAIChQ4eiVatWudYbPnw4GjduzL4vWbJErNzNzQ0dOnQAkHm/SXoSISucYlsy+fLlC4Ds1w4HBwDMnj0bu3btgpubW7YoyHPmzEGHDh3QvHlztGjRAt++fctRgZAnvn//DgDo3bu3WPTe4lRsc6Jq1aoAIDMZ/Pz80KBBA/Z948aNhX5fVKlSBWFhYahTpw5Onz6NPn365Pg+lSYKCgp49+4dtLW14ezsjHLlyomVp6amwsjICADQr18/zJ8/H4MGDcKbN2/w7ds31KtXT6LyVKhQATweD79//4aGhoZE2+bgUFRURIsWLfD06VN07969yO1JZMVWpNiWJV68eIHU1FT8+vULAHJdIeMoOgkJCXKV5gcAJk+ejFq1asHX1xeDBg1CdHS0xNoW5ZZ79OhRvo+JiYnB8uXLAQDnz5+HlpZWtjq+vr4AMnP7FYb79+9j27ZtOHfuXJ71LCws8PXrVzx48ADr16/Pdatfv75Y/lFnZ2d4eXkhJiYGqamp8PLywoULFwAAnTp1wuXLl9n9JkmICOnp6ZxiWwJJT08HkHl9cHD8iZGREdq0aYOEhIQcy5s1a4adO3cCAGrXrp1rPXlAKBSyNHBZ06MBsldsRc/xrVu3FnvfKSkpTKndt28fm+AtCnp6eoiIiABQ+PdlUfj48SMAYNSoUWIKu4jZs2cDAOrVqwc7OzsMHDgQnTt3BgCppKPk8XhQV1dn98enT5+gr6+Pffv2SbwvjrJJ586dJXavFVmxjYuLw5s3b8qcYhsYGAgACAkJwYYNG9CrVy/ZClSKSUhIkMtZwiNHjgAAbGxsoKOjg9OnT0vEDEi0sjBs2DDs3bsXr1+/zlYnPT0dx48fx969e3H16lXUr18fVlZWGDJkCMs1+yffv3+HsrIynJ2dC2Xa279/f6xcuRJz587Ns566unq+Jnr8/Pzg5uYGHR0dAJmD0CZNmkBbWxsqKipo0qQJRo8ezfLyTZkyBQYGBjh27FiBZc+LjIwMEBGn2JZAlJWVAYBN6nBw/ImGhgbOnTuHBw8e5Fi+evVqdv0EBAQUp2j5xt3dHYaGhpg4cSKA7CujKioqyMjIkFmOUWNjY6xfvx4hISHF2q9AIGAuNWZmZli2bBnq1q0rkbbV1NTQrl07nDlzBqtXr5ZIm/lF9Dvm9n+K3H1EeYwBwMfHB0ZGRqhevbpUZNLQ0GCKbVxcHMLDw2FtbS2VvjjKHkOHDoWHhwfi4+OL3lhRnXQtLCzkNveXNPn58ye9fPlSKgF4OMR5/fo1BQYGylqMHElISGCBpPD/eY4lwe7du8WiT86aNYsSExPJx8eHunXrRlpaWtlC/S9ZsoQiIyOztWVvb08dO3YUqxsSEiIROUWkp6fTwIEDqV27dtS5c2dq164dWVhYUEJCQra6CxYsoJYtW1KdOnXEZIqMjCQ+n08CgYCio6MpNDSU+vXrR+3ataP169fTmTNnCAA1btyYiDKvi65du1Lnzp2pQ4cO1Lt3b0pLS6NDhw5R/fr1aeHChazP+Ph4EggEOcqekJBA1tbWEv09OIoHPp9PVapUoVGjRslalDzhgkfJDlEOVgB08uTJHOt8+fKFAFCbNm3kMpBU//79CQAZGBjQy5cvswVSFAgEZGFhQcnJyTKSkOjEiRMEoFhznYpS2/F4PKmkXvz58ye7dooz60dERAQBIGVlZbEc7yI2btzI8tVGR0ez315BQUFqMn39+pVcXV1p1apV1LZtW2rWrBn16dOH+vTpQ9OnT5davxxlh+rVq5OlpWWR2ymyYrtgwQL6999/iywIB0du2NraUkxMjKzFyJPr16+zF+DKlSvp0aNHEmnXzs4umwILgAYPHkyrVq2ir1+/0vTp02nOnDkUGxubYxtz5sxhxxkaGtLq1aslPngLDg5mffyZEuLP3IY5nY9oU1dXpzFjxuRZR5Riae3atQSApkyZwsqmTZtGXbt2JQBUo0YNIsqMqA2A5s+fn6PskZGRYhE+OUoWpqamNGHCBFmLkSecYitbAgMD2TPiv//+y1bO5/PJ0NCQRUmWJ/h8PmloaFCXLl3yrGdra5vrO6A4EL2r/swbLC3OnTvH/tPo6Gip9RMeHk4KCgo5RteWJnfv3s01g4Cfn1+O78aAgACpyRMeHs7epQCoWbNmYn3HxcVJrW+OssGgQYNyHacVhCKbIj9//rzMmSFzFB9paWlIT0+XOx/bPxk6dCgOHz4MANizZw/69euHwYMH48CBA0Vqt1+/fti7dy/7fuXKFbx69QpWVlbYtWsX6tSpg3PnzuHkyZM5+tUC//NDnD9/Pl69eoWdO3dKPNBb1apVMXDgQADAgwcP2eKozgABAABJREFUYGhoyMr+NKfKyw8rMTERt27dQq1atXDv3j3Y2dnh48ePYlFNRabIYWFhAIDg4GBWZmRkBBMTE/Tu3Ru2trYAAD6fDwDQ0dFBaGgoxo0bh2vXrrFjuMBRJZv09PRswVU4OLJSs2ZNZma8cePGbM8kRUVFeHt7o1y5ctiyZYvYM0VW3LlzB8OGDUOjRo2QkJCAxMTEPOuXK1eOPetlQa9evdCiRQv4+/tLvS9/f3/MmDEDQKaZdqVKlaTWV5UqVbBjxw58+PABVlZWUuvnT8zMzFi06dGjR4v5fxsbG+Pnz5+4d+8e27y8vFC7dm2pyaOhoYHk5GSoqKhg0KBBeP/+Pezs7Fh5amqq1PrmKBt07doV9vb2RW+oKFpxZGQk8Xi8HM0fOTgkQURERIlaTRMIBOTh4UEDBgwQyy9X1Jl0kYluYbhw4QIBkHqCdaFQSLNnz6a+fftS//79qX///jRmzBj6/ft3trqic+Hz+WzLOgv97NmzHI/JutJ879496tevH/Xv35+GDh1KP3/+JKL/rQhnNYP29PSkt2/f0oMHDwiAWDLwgIAAcnFxkdjvwFG8tGrVimbNmiVrMfKEW7GVD0SrYHPmzMmx/Pjx4+z5sW3btmKW7n8IBAKqXr06AaB+/frRiBEj/mq19OrVK5Y3XFbs2bOHNDQ0pNqHi4sL+4/u3Lkj1b5EeHt7EwDq379/sfSXlWXLlhEA2r59e7H3nRWhUEjW1tZUp04dsrCwYPvHjRtH6urq3IotR5H58uWLRHTKIim29+7dY/5uHBzS4OvXryVW6fjTXEgSvgMFRSgUlhhTIYFAQNeuXSvy/21nZyfmM5v1N3BxcaEePXrQ/fv3WbmPjw+9f/++SH1y5M73799pwYIF2UzSJYHoHpOE+ZI04RRb+SA5OZk0NTUJAH379k2s7MKFC7R69Wq6f/8+e16EhYUVq3w2Njb077//0qxZswhAgcxf3d3dyd/fX4rS/Z2rV68SALpx44ZU2r98+TL7b/r06SOVPnJC9A4xMjLKVib6z44fPy6Vvvl8Pjvn8+fPS6WP/PLq1SsaNGiQmJJ95MgRAkCVKlXiFrk4ikzNmjXFxmeFoUimyC9fvoSpqWlRmuDgyJPfv3/LvRlybhgbGyMhIQFjxowBAAwZMgRNmjSBh4cHPn/+XKjIxAVFlLKgZcuWaNSokUTTEkkaBQUFjB8/Hu3bty9SO/369cOgQYPE9pmZmaFv37549OgRnj9/jrdv37KytLQ0zpRVitjY2ODo0aO4dOmSxNu+c+cOAHDuMBz5QlVVFSdOnACQmZYsK9OmTcOuXbswfPhwzJo1C4D0U70IBAJ4eXnBw8MDjRs3xsCBA3Hy5EmcOXMGALB///58t1WuXDmZpvwBwPKOHzx4UCrtHzp0CADw6tWrAqXDKyp5pYFas2YNTp48iXnz5kklKrWioiL8/PwAANOnT8d///2Xr7FDZGQky94hKdTV1dG0aVN4e3uzffPnz0elSpUQExNTrP8JR+mkWbNmcHBwKFIbnGLLIdckJiaiYsWKshaj0Kirq+PmzZtwcnJChQoV8PnzZ7Ro0QJNmjRBixYt2AtLWohSEvn5+SEkJERm6SBkCY/Hg6WlJR49eoRWrVqhR48eqFy5MivncthKl2HDhmHr1q1YuHChRNsVCoU4c+YM9PT0MHToUIm2zVF6GT9+PPT19bP5rB49epR9FimWR48eleoEZM+ePWFiYoIWLVrA29sbenp6sLCwwNatW7F7926xPN9/Q9Y+tkBmLuC1a9ciNDRUou1evnwZM2fOxPv372FgYIDOnTtLPE5EXogU2zlz5rB90dHRmDt3Lss5C2TmkJcGxsbGzEd806ZNGDx4MDw8PPI8plGjRqhVq5ZE/4uKFSuiZs2a8PHxYft4PB7zce7du7fE+uIom3Ts2BHPnz8vWiOFXeqNiYkhHo/HpbvhkCp2dnZSjXhYnKSnp9O7d+/IxcWFtLW1xaIoR0REsLD+QqGQPn78SB06dKA2bdpQq1atqGXLluTs7FygaMYi31oA5ObmRu7u7pSYmEhERLGxsRQREZFtK85UDbJgyJAh7DcR/ZavX7+moKAgGUtW9khOTqauXbvS3LlzC3W8r68vAaCWLVtKWDLJw5kiyxeiVGMhISHsmUhEtG/fPvZ80NPTIwBS81u9dOkS6+vt27f0/v17ysjIKHR7onQssubYsWMEoEjnIiI6OpouXrzIfic1NTWZnOOhQ4cIAB0+fJiSk5PJyspKzM3IwsKCAJC+vr5U5YiIiKCaNWsSAOrWrVue44GhQ4dS5cqVJWpOf/36deaHLhQKKSEhgXr37p3tncrBUVg+f/5MCgoKRYpLU2jF9uHDh1SvXr1Cd8zB8TfS0tLIwsKC0tLSZC2KVDh9+nS2cP1r1qyhRo0ase8jR44US5/Tr1+/fLffp0+fHFMCDBw4MNdUOsWVqkFWdO7cmYDMfJVRUVFERPTs2TNugk4GZM0RWRg8PDzYpI28wym28sX69esJAFMSsub1vn79Oi1ZsoQMDAwIAH39+lUqMoj8aCU1qfbz509ydHSUSFtFwdLSkgBQ5cqVixTXYe7cuWLvJmn9D/lBFHRQtNWoUYMA0Lp165gyd/bsWeLxeMUyXlm8eDF7lxc2qGRhWLFiBd27d4927dpFREQhISFMoffx8Sk2OThKL6LAeTY2NoVuo9CmyG5ubkX2hePgyIvfv39DRUWl1Po/zpo1C79+/YKlpSVLC7Rz5054e3ujefPmcHFxwZ07d3D//n28evUKAPDo0SMMGzaM+c7mhba2Nvs8YsQIrFu3DkCmzyOQ6WNmaWnJNiUlJVhbW2P79u2SPlW54erVqxg5ciTevHmDixcvAuDSxciKGjVq4OXLl2L+WgVB5G/H/XccBWX27NkA/pcqLC4ujpWNGzcOBw4cYOnTckujVhQuXLiAM2fOoHr16mKp0YqCPPjYAsCAAQPQr18/REdHs2dsYRD5QgOZZrV16tSRgHSFY9CgQXj06BHWrl0LAPj16xfq1auHbdu2MZPomjVrgojw8+dPqcuzceNGqKurw8bGBiNGjJB6fyKMjIyQkZHBfNBFZs6LFy9GgwYNik0OjtKLgoICGjZsCFdX18I3UliNuE+fPlKLAsfBQUQUFBREr169krUYxYZAIGBbTiY9fn5+VLt2bZaK4m8zw0KhkLX3Zx85tX/+/Hk2I71u3bqin5CcYmdnR126dKH79++TUCgkS0tLMXNEDukQHh5Ojo6O9M8//xAAMjU1LXRb7u7u7FrNKZ2UvMGt2MoXfD6fpkyZQg0aNGDPO5EriIgNGzYQALK1tS1yf79//6anT59Sr169xFb+Nm/eXOS2RcTGxkpEVklRq1Yt6tatW6FXFGvUqEFr164loVAoVyauub1Dv379SgDI0NCwWOTIyMhgVgUBAQHF0uezZ8/o4MGDLF2WKCLyvn37yMvLq1hkkAccHR2ZhR2H5Fm+fDn16NGj0McXasVWKBTC3d29QIENODgKSlJSEipUqCBrMYoNBQUFtuUUGMPY2BgPHjwAAKxfvx7379/Psz0ej8fa+7OPnNr/559/2ArG9u3bZR6IRFp07NgRr169wvDhwyEQCEBE3KpfMTBlyhR07dqVBVsJDw8vVDvfv39H27ZtAQAHDhwoU88IDsmgqKiIixcvwtXVFUpKSti+fTu0tbVx5coVVmfZsmUAMi2HCktISAhWrFgBbW1t9OrVC0+fPgUAHDt2DL6+vti0aVPRTiQLouBRVAzR9vND9erV8eLFC8ycObNQx1erVg1hYWHg8XjFGijqb+T2Dq1duzYGDhyIHz9+FMu7U0lJCffu3QMAjB49Wur9AUDXrl2RmpqK0NBQLFmyBO/evQMALF++HE2bNkVSUlKxyCFrlJWVAQCfPn2SsSSlky5duuDt27eFfpYVSrH19/dHamoqTExMCtUpB0d+SE5OhpqamqzFkCtMTExYNMRx48ZJPApjtWrVMG/ePAD/e3iXNrKmPMrIyABQes9VnujWrRsMDQ1hbm6O79+/i6VcKgiiCJwA0LBhQ0mJx1EG0dTURHh4OKZNmwahUIjJkyezVDWiaPyTJk0qVDR5kanxvn37YGBggP79++P79+9ISUnBvHnzUL9+fYmei+gZxufzJdpuYbG1tQUAmJubQygUFvh4fX19hIWFSVosqcHj8Vjkd19f32Lps02bNpg/f77E0/rkhpKSEtq0aYPGjRvj0KFDuHTpEpu4aN68OQIDA/H169c80yOVBtq3b4/Q0FCWbo5DsvTo0QMpKSnw9/cv1PGFUmzd3NzQsmVLbjDIIVV+//5dolP9SIumTZti586dAIAZM2Zgx44dOHz4MM6fP88UtcLy/ft3HD9+HNWqVZOrWXJJoq+vjyFDhrBVaWVl5VJ7rvLEqlWrEBQUhKZNm8LIyKjQK62amppsplzkN87BUVgqVaoEc3NzfPv2DQCwdOlSHDhwAIqKihg8eDDS0tLEfHDz4u3btzh8+DAOHz7M/HiPHj2KgIAA2NrawsjICOXLl5fKeSgpKYHH48mNpY26ujpbUSxMPmA9Pb1CW3XICpEfcJ8+fYqtz7Zt2yI6OrrYVkvr1KmDgQMHQlFREQAQGxsLAPDw8ECTJk1Qr149aGpq4vDhwzhw4EChJzbkHX19fS5NoJSoWLEi6tatCzc3t0IdXyjF9t27d2jTpk2hOuTgyC/cim3OKCgoYPXq1bh+/ToAYMuWLVi8eDFmzJgBIyMjvHv3rtAvkhkzZgAArl27JjF55Q0nJydYWlrizp07TLHlKFk0btwYGhoaeP/+PaKiomQtDkcpoFatWmylbdmyZbCxscH8+fMBAHv37s3xGKFQCIFAAIFAAF9fX7Rp0waLFy9mQYbGjRvH2pA2PB4PysrKRZ7clCRNmjQBAKxZs6bAx1apUkXi+XALChEV6F1ap04dzJo1C+Hh4dneoaJrRdJKXs2aNQEAQUFBEm03NypUqICkpCR06tQJAHD37l1W1rJlS/Z58eLFWLZsGaZPn443b94Ui2zFgVAolBtz/9JMgwYN4O7uXqhjC6XYenp6olmzZoXqkIMjP2RkZCA9PZ3zn8uDcePGgYjYisLUqVMREhKC1q1bQ1FREdu2bYO1tTWsra3z9YAQCoV4/vw5DAwM0KVLl2I4A9nA5/MxYMAArFixAhkZGVBQUICtrW2RfOk4ip/ExEQAnBk5h+SoX78+8wEfNGgQUxb+XHFMSUnBpUuXoKioCCUlJSgpKTGz+Fu3biEpKQlExCYfiwtlZWW5WbEFMuNCrF27Fp6enmIuIPmhWrVqCAkJkagfckGZMWMGFBUVmS9pfli9ejUAYP78+WwVNTo6GhoaGlBSUoKWlpZEV6Jr1aoFAOjcubPE2syLChUqIDk5Ga9fv85W9v79+xyPCQkJkbZYxUJiYiIUFRWhq6sra1FKPU2aNMGHDx8KdWyBFVsiwsePHzn/Wg6pkpKSAkVFRW7Qmk80NTVx4cIFPH36FLt37wYAbNiwAWZmZjAzM0O7du2QkpKSZxsxMTEAMtOoiMyMShvJycno378/bG1tMX78eGRkZODXr18YOHAgzp07J2vxOAoAEWHIkCHQ1NSUtSgcpYimTZuy9GqzZs1Cly5d4OHhAS8vL1anY8eOmDp1KoDM1d0LFy7gwoULePToUbEF8skJZWVlufGxFSHyJd6yZUuBjps4cSJUVVVZTIni5vfv3zA3NwcAsf/+b9SqVQubNm1CXFwcTp48CSBz0jgpKQn16tVDYmIi/Pz8JCangYEBxo0bh9jYWKSmpkqs3dwQmdKLYh0YGRnB2NiYneuf9O/fH3379pW6XMWBKMhkcnKyjCUp/bRu3RqfPn0q1Op4gRXb4OBgxMfHo1GjRgXujIMjv6SkpEBVVZXzfSwgPXv2xMqVKxEfH4+wsDCEhYVh8+bNAID9+/fneWxkZCSATBOw4kYoFMLPz48Nyq5evYpy5coVyjcrL8qVK4eePXti1KhRADJXbzU0NGBsbMy5V5RALC0tS6X/Fods6dy5M3v2iJRcExMT1K1bF/r6+kzZio2Nxb59+zB16lRMnTq1SAP42bNno0qVKnjx4gV+/fpVqDaUlJTkyhQZACZPnow2bdrAxcWlQIPUxMREpKSkyGy1z8fHh30WvRvzy6ZNm1CjRg224i8KpCVy9Xn69Cm8vb3h7e0tkdzD06dPB/C/vMzSREFBAeXLl2dKf2BgIGJjYzFnzhyEhobCx8cHlpaWrL6dnR0WLFgAb29vBAQElGgzXhUVFfz+/ZtzfykGOnXqhMTExELd/wVWbD9+/AhjY2OoqqoWuDMOjvySkpLC+dcWAQ0NDejp6UFPT4+9TDds2AALC4tcjxG9vHV0dIpDRIazszNatGiBBg0aoEGDBhAKhXj//j0yMjLw8+dPXLlyBdbW1jh79iyePXtW6H5CQkJw7NgxnD9/Hrdv3waQqdjWrFkTfn5+zGeIo2TQq1cvAGCmoxwckqRPnz4s/U/v3r0BAAEBAcjIyMDmzZsRHh4OLS0tifV38+ZNREZGonv37jAwMCiUciuPK7ZAplnh27dvCxRF1sbGBgAwdOhQKUmVN1kneEUTofmFx+OhQYMGLKqzaIV2woQJ0NbWxtatW9G4cWM0btwYhoaGiI+PL5Ksond3cSi2RITExESEhoZixIgRrP+bN2+iW7duaNiwITPHFmFubo7GjRujbt26cHR0lLqM0qRChQrc2LQYqFy5MqpVq1ao93uhFNumTZsWuCMOjoKQnJzMTZ5ICFE+QQAYNmwYAgICcqwnmoUsLsWWiJCRkYE5c+awh1dAQADs7e3h6emJ9u3bo379+pg8eTLMzMwwa9YsDB48GEDmQKF37964ceNGvvs7e/YslixZgrNnz7J9GRkZnLl7CWXjxo0AgBYtWiAoKKhQKVk4OPLCzMwMQOZKm5eXF1xcXJjfZ2EsW/bv34+ePXvmGExpwoQJ7LOKikqhnkvyuGILZLq3AJnmxfk1l7106RIAYMyYMdISK0+y/r81atQo8PG6urpMsa1SpQqUlZVRrVo1vH//Hk5OTnBycsKgQYMQERGBSpUqFSl1nyhQlSQnWnIjMjISrq6uePToEXR0dFC5cmUYGRlh3LhxTIFXUPifalG5cmUAwPr16wFwuV9lRV4TXqKxmLytpteqVQuenp4FPq7Aiq2Pjw8aN25c4I44OAqCyBSZQzKYmpri4sWLAIC6devmmGdONEOura0tdXkSExNhaGiIcuXKZfNf8vPzw/Pnz+Hq6oquXbuif//+WLp0KWbMmMFyTLq6uuLp06d49OhRvvvs378/xo8fL7YCkJGRASUlJYmcE0fx0qVLFxw4cAAAWPqgnz9/ylgqjtKE6B308uVLNGnSBO3bty9wig8+nw97e3vMnz8fy5cvx/Pnz7Fr1y6m7Ik4ceIEiAhEhNTUVOjp6RVYXnldsdXQ0MCECROQkZGB7t275+sYPT099OvXD3Xr1pWydDmTdfxR0MBXERERuHHjBguwtGTJEmRkZCAtLQ1GRkbo2LEjOnbsCGtra2zatAlCoRALFiwodADDatWqoWXLlsUS+6ZSpUqIioqCrq4u4uPjERUVhe/fv4vVGThwIFOyW7VqBQDYtm0bgMygWoU1tecoHBcvXoSysjKOHz+eY/mYMWNQrlw55o7l7+8Pa2tr2NrawtnZuThFFaNOnTr4/PlzgY8rsGL75csXGBsbF7gjDo6CkJqaKrV8f2WVKVOmYNCgQQAyHxhZZ+fCw8Nhbm6O8uXLSy1wlFAoxMaNGzF37lzo6enh169faN26NSZNmgQg0/919uzZePv2rdhxdnZ2OHDgAGrVqsVyQ44YMQLXrl3D1q1b891/27Ztce3aNbRq1Qr//fcfjh07BoFAwCm2JZglS5bA2toa8+fPR1paWoEHoBwceSFaNT1x4gTLyfo3sj7n5s6di+bNm6NPnz5sUPnvv/8CQJHNT3NCSUlJLhVbALh8+TJMTEzg6uqaa/TcrFSqVIkFNJQVhoaGAMRXIPPDn+8ULS0tdOjQIccxzebNm7Ft2zakpKTg2LFjBZbx0aNHOHPmDMvDLE2ICP/99x+aNm2KXr16MWUVAO7fv88+79mzB/r6+rh+/bpYMLXFixcDALy9vaUuK8f/EFlJvHz5Msdy0fUqen+OGTMGZmZmGDhwIDp16pRtwnjXrl1sUlma1KtXj6VgKxBUQCpXrkxv3rwp6GEcHAXi2bNnFBYWJmsxSh1CoZD09PQIAK1Zs4bt9/LyIgDUvn17ifc3c+ZMMjQ0JDU1NQJAioqK1Lx5c5o+fToJhUK6fv06ARDbWrRoQQ8ePKCIiAjav38/25+amppjP3v27CF1dXVydnYmY2NjAkCXLl0iX19ftkVGRpJQKCRXV1fWnouLC3379k2i58xR/Li5uREAatq0qVw+Nzw8POjTp0+yFoOjEHh6ehIAMjY2JqFQyPaHhoayZ4uVlRVVq1aNDAwMqGLFimLPMRMTE2rXrh0FBgZSUlISnTlzhgCQQCCQuKxfvnyR6/HZ06dPCQDNmzfvr3WXL19OdevWLQapckYoFJKPjw9FREQU6vitW7cSAEpLS6NKlSrRv//+m2dfhoaGBIAmTpyYr/YFAgE9fPiQXWvTpk0rlJwFITo6mgBQ586d6eXLl2JlJ06cIAC0b98+Wr16NQEgMzMz0tHRIQBkYGBAtWvXJgB0+fJlqcvK8T/8/PyoZcuWdPjw4RzL+Xw+hYeHU3JyMhERdezYkQCQuro6tWvXjqKjo8Xqiq45UX1pYWFhQdra2gU+rkBLFTExMYiOjka9evUKrkFzcBSA1NTUApt8cfwdHo+HV69ewdjYGIGBgWy/yArD1dUV8fHxEkuhMmLECDx48AAKCgpYvXo11NTUsHTpUjEzL1EQIADo0KEDTp8+LebHv3TpUqioqGD+/Pk4depUtj66desGZ2dnJCYmIiAgAF++fAGQafIkynUq4ty5cyyY1q5du8Dn87kV21JAs2bNoKmpCS8vL1SrVg3x8fGoWLGirMXiKAWYmJjg33//xcmTJ9G5c2ccP34c0dHRYs8tEbNmzYKOjg7Kly+PRYsWQUNDI1sdUW52Nzc3dOjQQaKyyvOKLZAZtb9r1664dOkSdu/enWeeem1tbcTFxRWfcH/w5MkT9OvXD6NHj8atW7cKfPyGDRsAAA8ePEBMTEy2d1FWeDweTp8+jalTp+Lq1ato3bo16tevj379+uVY//379xg5ciQzAb5582ax+CKLTKVjY2Oz/Tei925kZCRb4baysgIAMTeRTp06ITIyEgKBoNSmFZQ3jI2N88zFrKioKOZTfvDgQdja2mLevHnZcvYqKiri8uXLiIuLk7q7YMuWLREbG4vY2NiCucgVRAt2dXUlPT29AmvPHBwFgc/nk4WFBaWkpMhalFKJaAX04MGDYvs3btxIAOjGjRsS6SckJITN7MXHx+daz8nJidVzc3PLsY6lpSXxeDxSU1MT20THzZs3j9zc3Gjr1q3UqVMntr9169ZUuXJlAkCGhoakqKjIyt6+fUsODg4UEhIikfPlkC2JiYm0dOlSAkAHDhyQtThicCu2JZv4+Hi28pR1O3HiBDk6OpKjo2O+/9++ffsSAOrdu7fE5QwKCqJXr15JvF1JsmDBAgJAt2/fzrXO7du32W+cdZW8OPHw8CAAtHDhwkIdX61aNRo8eDB16dKFANDnz5//eszz589JVVWVnfvQoUPF3k8PHz5k1w8AqlKlCn38+LFQ8hWU9PR01m+1atXozp07Yv/NrVu3SEVFhb2XVVRUWP369euzz1paWgSAXF1di0VuDukwf/58mjVrllTvT4FAQFpaWrmOC3OjQIrt5cuXqXPnzgXqgIOjoCQlJZGFhYXMXmilnc2bNxMAmjRpEj1+/Ji9GEVmRgAoMTGxyP18+vSJANDr169zrRMaGio2UOzevXuB+rh58yY7lsfjsc8jR46kDx8+EBGRqakpAaBVq1aJ9fX161eyt7en8PDwopwmhxzx69cvsf84qwmVLOEU29KBtbU1DR8+nIYPH04PHjwoVBvq6uoEgK5cuSJZ4YgoODiYHBwcJN6uJBEIBASAZs+enWO5t7c3u3/Hjh1Lz549o7S0tGKWsui0atVK7FmUnp6e72N9fX3FFFgR8+fPJwA0bNiwPCcGJI1AIKDGjRszecqXL08WFhY5/i/79u0jADR//nzmFpTTdv/+/WKTPy8WL15MAMjJyUnWopQI+vXrJ/Y/xsXFSbW/xo0bF/hZWSCP+O/fv6N27doFOYSDo8CkpaVBRUUFPB5P1qKUSkQBmK5cuYK+ffuygB6VKlVC3759AWQGuxAllf+TT58+YdmyZVi6dCmLpJwTosjLOZnjiRCZQw8cOBBqamoQCoUFOpcxY8YgOjoa58+fx+nTp3H27FmEh4fjzp07aN68OYDM4BwAsHv3bnbchAkTUKtWLS54VCmjevXq8PPzYyZ869atk7FEHKWJQYMG4d69e7h3716h86tqa2tj/fr1mDhxomSFQ6YpsrynvVJQUICCggJOnz6dY7A3c3NzAJnpYW7evImePXuiZ8+ecpeK5G8MGTKEfZ4+fXqB0jfVr19fLOK/UCiEvb09jh07Bm1tbdy/f7/AuXWLwpIlS8Si037+/BkKCgpIS0vLVnf58uUAMlM7icyTRcyfP599DgoKkpK0BUOUHisiIkLGkpQMRPfs4sWLMXz4cKn3V7Vq1WxRt/9KQbTg6dOn0/r16wukOXNwFJSwsDB69uyZrMUo1fz+/Zt+/PhBd+/eZTNvo0ePJqFQSGZmZmzf+/fv2THR0dE0cuTIbDOv9erVo7Vr11JSUhKre/ToUVYeFBSUqxw/f/4Ua2vw4MFSOd+YmBj68eMH7dixQ2ym0cbGRuozjhyyoVatWgSAfvz4IWtRuBVbDiL6X/CkZcuWSaX9qKgoevz4sVTaliS2trYEgDw8PMT2x8fHk7a2NgGgDx8+iL0bli9fLiNpC8f48eMJAFWtWpUAUMOGDens2bMFaqNChQq0evVqevbsGfsdxo8fLyWJc8bGxkbsf7C2tiYiosePH1NUVFS2+g0bNhSrX716dapSpQodPnyY3N3dxcrkwQ2Iz+cXqxyhoaHE5/OLrb+CIBQKKSQkhFlL7tq1i9TU1Khjx46UkZFBRESpqakUERFBPXr0IAB069Ytqco0ceJE+ueffwp0TIEU2169ehX4xuTgKCglwU+oNPHgwf+xd95hTWRtG78TQpeqCCJgAwtiF10rdkVcdcXeey9rWXt3de2997J2VOzYGyiKhS5IEUGK9E4oyfn+4Mu8ZAFNIMkkcH7XlQuYzJxzJyQz85yn3WAuNKLv9/379wkA0qNHD3L8+HGybNmyUkOKRI/GjRsTQgjZtWsXs23jxo2/DCl/9eoVs78iKjuePn2aAIXVKm/evCmTsGuK8rF7924CgGzatIltKdSwpRBCCHMz6OPjI5fxU1JSyL179+QytiwJCAggAEi9evWYbSEhIcx1YNq0aUxaQdEq0yUZUsqIUCgkFhYWxNbWljx9+pQJdx00aJBU41hbW4tdY69evSonxSUTHh4uNv/s2bOZ50qrT5GVlUVMTEyYY6KjowkhhOTk5DDbunfvzhi9lYVv376Rfv36FXsflQmRQ2Lr1q2EEEJGjBjB/M/Gjh0rtq8oLP7IkSPk1atX5Pjx48TPz0/mmpYvX066dOki1TFSGbY2NjYqsRpIUW1CQkKkThanlI+0tDQCgOzdu5cQQkh2drbYxUn0KHqiEz2aNm1KWrZsSQCQzZs3M9s/f/4s8fze3t7Ezc1NITcuorYEQ4cOJa6urj/NAaaoLqKccUNDQ7alUMOWQjIyMorlTMqa9PR0xqOmzAiFQiZXT9Q2ZuLEiQQA+euvv0hiYiIJCwsjAMjRo0eZRSp9ff1SW74pEyLttWvXZrYNGzZM6uuimZkZ85l59+6dPKT+lBkzZjDz29nZiXkaPTw8SERERInHpaenk7/++ot07dqVDBkyhGzZsoUp4mhtbU0KCgrI0KFDiZaWlqJeChEKhWTOnDlkzZo1CpuzKCJDEIDUhpqiEEXw7dixgxBCSHx8PFm3bh0BQCZPniy2b0pKCnn8+DHJyclhCuvJul0kIYQcPXqU1KlTR6pjJD7DCoVCoqmpSYKCgqQWRqFIQ0BAQLEQJYp8KdqbTF9fn3A4HDJ+/Hjy9u1bpujF+vXrmX34fD5TJbFatWpioVLy9EjIAm9vb+Lo6EicnJyIq6trsVAbSsVh5cqVzOeVTahhW7kRCoXkjz/+IADIhQsX5DZPdna2yhReLNpPfMuWLQQAsbW1ZZ6Pj48nAJgiXaL37+HDhwrXKhQKiY+PD0lISJBo/7i4OOa1ffr0iQiFQrHIqMzMTInGOXToEBkwYAArIbsi41z0+O/18f379yQ4OLjYcdnZ2WTPnj0lRnUNHz6cuZ84c+YMASDT7hdpaWnk/fv3JYb6ZmZmMjrY+H48evSI9O7dm/To0YMcPHhQ4fOXl8TEROLt7V3ie2dvb88sSsmaFy9eEE1NTan+ZxIbtj9+/CAAxPLoKBR58OnTJxIYGMi2jErHlStXyI4dO5h2QKLH/v37CSGEODk5EQDk1KlTzDELFiwgDRo0IIQU5uLs2LGDeHl5sSFfanJycoirqyvTfqBXr15sS6LIGNENs42NDREIBKzpoIZt5ebly5fM+VSeOf18Pp+4urqqzCLdzZs3xa41J0+eZJ7Lzs4mwP+qR3/9+pUAha1mFI3ICG/RooXEx4gMcQBk+vTphBBCli5dSgCohIOoWbNmjP6oqKhiz/v4+BQLPc3PzxdriyVqvwaArFq1SmxfUe7u6dOnZaZ59OjRBCi94vKVK1fItWvXZDZfZULUtqqkCDdRiLU8Fp0SEhIIAKm6V0hcFTkmJgZGRkbQ0dGR9BAKpUzk5+dLVUGQIhuGDBmCBQsWYMGCBUhJScGyZcsAFFYy7Nq1K7KysgAAZmZmzDFZWVkIDg7G27dv0bdvXyxYsACtW7dmRb+0iCowx8XFAQAePnyIw4cPsymJImMWLlwIQ0NDhISEwN/fn205lErKypUrAQC+vr4wMDCQ2zxqamoAIHV1ebbo378/oqKi4Ofnh69fv2LChAnMc1paWlBTU0NGRgYAoHbt2pg6dSpiYmLg6uqqUJ3m5ubQ1tZGq1atJD7m2rVr8PX1BQAcPnwYR44cwfDhwwEAaWlpctEpS37//XcAhddFCwuLYs9raGgwFYVFhIaGIjExEUDh/2vnzp3Mc0WrRAOAnZ0dAPFuBeVF1EkjKiqqxOeHDBkik0q+mZmZ6NmzJxYuXFiucfh8Pn7//XfMmzev1H3y8vLQt29fzJgxo1xzlZdOnTpBXV0dM2fORNu2bcUqXl++fBmfP39Gp06dZD6vsbExqlSpgtjYWImPkdiwjY2NFbuhpVDkBTVs2cfQ0BDfv39n/n7+/DmeP38OAGI3ZiNHjgQA/Pbbb4iOjlaoxvIiEAigpqYGTU1NpvXAjBkzmJsRiuqjpqbGtK1q1qwZRo8ejcjISJZVUSoT6enpePnyJXg8Hho1aiTXuUSGrbK3/CmKhYUF7OzsULt2bbHtHA4Hurq6zIIqUNh2BsBP28zJA0tLS+zduxfHjx/Hvn37JDqGw+GgSZMmzLVl+vTp+PTpEwDg9OnTSt9eZsOGDTAxMUGvXr2QnZ1d7Hl1dfVihq1oAQcAunbtikmTJmHTpk0AgGfPngEotCWuX7+OmJgYdO/enVlYLi8JCQk4d+4cAJSoV5akpKTg8ePHYoZ7WUhNTcWdO3ewd+/eUvfJysrC/fv3S110LygogJubG8LCwsql5Vds3LgRt27dgq+vL969e4f3798zz+no6GDatGnQ1tbG0aNHkZycLLN5uVwujIyM5GPYxsXFoUaNGmUSRqFIQ15eHjVslYCNGzfCxcUFsbGx0NLSAgB069YNbdq0Yfbp3Lkz0yt09erVrOgsKyLDFgCsrKxw584dAIXGup+fH5vSKDKkTZs2uHnzJgDg/PnzqFWrllQXSQqlrAiFQtjY2AAAtm3bJvee2RwOBxwOR2U8tr/iv4Ztw4YN0aVLF7FtikLkiQwJCZHqOCsrK8boWL9+PfT09HDo0CGYmppi+vTp8PLykrnW8lJQUIClS5ciNTUVAJCTk1Nsn5IM26ILKidPnsTx48eZz6Kenh6Awt7izs7OaNeuHZ48eYKUlBSZaC763Zo2bZpMxiwNS0tLPHz4UMy4KwvVqlUDUGgYklL6NBsZGeHp06d48+ZNic97eXnB0dERjo6O5dIiCT169MCNGzfg4uJSrI+3yFs+bdo0ZjFDVhgbG0u1ACKVYUs9thRFQD22yoGlpSWcnZ1hZmaGpKQkJCUl4fHjx4wxKOLvv/+GtbU1Tp48qVJeW6FQCC73f6dABwcHdO/eHQEBAWjatClzI0NRbdTU1NC/f3/w+XysXbsWQGFooWhBhi3S09MRGhpa6qOgoIBVfZTyExsbi/j4eFhbW/803FCWqKmpqZTH9mdoa2sjNDSU+dvDwwPPnz9HZmamwrU4ODjA3t6+TOGWdevWRYMGDfD161eMGDECy5cvR6tWrXDkyBG0adMGPj4+clBcdiZPnowtW7YwhqsoMqsoJRm21atXB5fLxe7du5ltokVx0X2D6G8RGzduBJ/PL7dmIyMjZGVlITc3F0ZGRuUe71f07NlTqtD0kuDxeMjJyUFSUhJjGJZE165d8dtvv5X4nI2NDVq2bIlhw4aVS4sk8Hg8DBw4EM7OzsjKymIWPgDgyZMnePr0KWxtbcv9vvwXaQ1biYtHzZkzhyxYsKAsub8UilTcvXuXpKSksC2DIgWiNj9stCQoK/Hx8eTRo0fFts+fP58peJGWlsaCMoo8OXToEPP/HTduHImMjJT7nEWLR71584YcOHCgxKqhRR/169dnKohSVJOnT58SAMTV1VVhc96/f58kJycrbD550qhRIwKA+Pr6MlV0AahEr97/kp6eTtTU1AgAEh8fTwgh5Pz588xrCg0NZVlhIVlZWYymlJQUUqNGDWJmZlZsv4SEBKb957Vr18iBAweYljY7d+5k9hP1I9bQ0CD37t1jehgXffTo0UNhr49Sfop+RhTB4MGDyZw5cyTeXyqPrampqeQWM4VSBgghKCgooB5bFaNz584AoFLF5f7rsRWxfft29O/fH0BhrvHAgQNLfAwYMABnzpxRtGxKOZk+fTrjBTpz5gysrKyYAjXyIjU1Fa6urhg4cCDatWuHWbNmAQCmTJnC5K8XfRgbG+PLly8YNWqUXHVR5Mv27dsBADVr1lTYnBUpFPno0aMAgKZNm2LcuHEAgLVr1yok7FLW6OnpMTmZp06dAlDoCRUVT7K2tkZMTAxr+kSI3tuJEyfC0NAQixYtQlxcHAYOHIgNGzYw+6mrq6OgoACZmZlwdnbGrFmzkJGRgVevXokVOqpZsyYWLVrEFEFau3YtjIyMMG7cOOzfvx8ASg2zpSgnRe/Pc3Nz5T6fiYmJVNGAEhu2iYmJqF69eplEUSiSIhQKQQiRey4SRbaIijX8N8xImSnNsOVyuXB1dcXs2bPRt29fCASCEh+3bt3C+PHjoaWlhZcvXzJFQijKT7169UAIYXKxTExM5HKBFgqF6NevHy5cuIDg4GAIBAL069cPjx8/BiEER48ehYODQ7GH6CJ+9erVEvPbKMrP9evXce/ePTg6Oiq0UryamlqFMWzbtm2LcePGwcnJCcOHD0daWhrWrFnDtiwAwNOnT6GmpgYul4uaNWsiKSkJr1+//mnxwblz56JWrVpiVZEXL17MhO7WrFlTplWCpWXx4sV4+fIlOBwOjhw5AgDo1asXBg4ciJs3b2L16tXgcDg4e/YsMjIykJ+fj7CwMMyYMQNOTk74448/0LFjx2L3Adu2bUNISAj69OmDq1evIiUlBQKBAB07dgRQWCBJ3gWfVIWEhARwOBy5VBiWFerq6li4cCGmTZsGDQ0Nuc9XrVo1JCQkSLy/xNZDUlISqlatWiZRFIqkiHI2qGGrWohyZCqCxxYo9Hr8qvplUFAQpk+fjhcvXsDBwQEA8PnzZzRs2FDmWiny4eDBg/Dw8IC/vz9atmwJf3//UnOdbt68iY8fP/50vGbNmmHQoEFwcXGBn58f3Nzc8O7dO0ydOhXOzs7FWl6UhpaWFnbu3IkFCxZg+/btWLVqldSvjcIuzs7OAMQrxSoCLpdbYQxbdXV1nD59mm0ZJRIVFcW8zzExMUwhIKDQE9u6dWvMmzev2DXmvwWxAGDevHkwNzfH0KFDsXTpUkybNg2GhoZyfw1F+fHjB7Zt2wYAiI6OZu7B7OzscOPGDSQmJuLgwYNYs2YNxo0bh549e2LWrFlo06YNQkJCYGVl9dPxra2tcf/+fUydOhXHjh0Dl8sVK0j7999/y7zokCoi+kwFBQWxrOTniKJRFIGJiQmSkpIkP0DSmGVzc3Py+vVrqWOjKRRpyMjIILdu3WJbBkVKrl69SgCoVG7Xt2/fyKtXr8o1hlAoJKGhoWTnzp1MzklSUpKMFFIUQUFBAdHX1ycAiKWlJXn+/DnJzs4mhBCSm5tLlixZQtq2bcv8fy0tLUt8oIQ8WTMzM1KnTh3i5eXF5NhKikAgIDweTyzXOy8vj2RkZBR7UJQLFxcXAoCVuiTPnj0jMTExCp+3svHx40cCgHTq1Ik4OzuTqlWrknr16hFzc3Pm+x8QEFDsOHt7ewKAREVFFXtuxYoVBAC5ePGiIl4Cyc/PJxkZGWTw4MGkTp06BAA5d+5cifuOGzeOWFlZMa9t9uzZxNXVlTRs2JAkJiZKPKdQKCRhYWGEz+cTQghZunQpAUAmTpwok9dUEYiOjqZ1Zopw5coVYmpqKvH+EoUiE0Kox5aiEAoKCqi3VgUReWxVKRSZEFKqx1ZSOBwO6tWrh/nz5zM9FqtWrYpXr17JQiJFAaipqeHbt2+YPXs2oqKi0KVLF+jo6GD8+PHQ1NTEli1b8PbtW0yaNAne3t6IjIws8eHn5ydWuTIgIACxsbEIDw8vU80ALpeLKVOmAAB27NiB69evQ0NDA3p6esUeIk8LhX0eP36MwYMHAyisLqtoKpLHVplp0aIFxo0bh1evXuHFixeIiYlBaGgooqOjmXZxjRs3FqscCwCjR48GgBIrIa9fvx4AFFb1uX379tDT04OLiwt+/PiBGTNmoFevXiXue+bMGaYHeHR0NPbt2wculwsvLy+pbAMOh4O6detCU1MTwP88lFJ55Co45ubmCvfYKzNmZmZITU0ttSXSf5Hork5UQrtoqAWFIg+oYauaiAxb0cVKFfhZKHJZ2L59O1NEq3Pnzvj3339lNjZFvhgaGmLfvn148+YNzp07BwBMYbDFixfjx48fOH78OJo1a1bqGHZ2dvDw8MCdO3fg7+8PW1vbcutatGgRgMIbXlFo6/Dhw3Hp0iXmIdJIc9SUg5kzZwIAbt26hUaNGil8fmrYKo6NGzdi2LBhSExMxPjx4xEVFQWg0KAVpR3s2rVL7BhREaySFqO4XC60tLSk6tP79OlTzJ07V+re3EFBQfDy8kK9evXg4uKC+Ph4HDx4sMRaOv7+/szvgwYNgrm5OQDZtJbaunUrAPy03Q2lcmNhYYHc3FzJr3GSuHW/fftGOBwOEQgEZfMjUygSEhcXR548ecK2DIqU7N+/n2hoaLAtQypCQ0PJ27dvZTqmUCgkXl5eBADp2bOnTMemKI6cnBySlJRE0tPTZTJe0XY/0pKZmUmSkpJIUlISSU1NFXtOKBSSAQMGMOGBimwrQymOKCVj/PjxrGlwd3cnERERrM1f2QgPDyft27dnvoPh4eFEKBQSQggTuuvk5MTcPwsEAmJoaEgAkMzMzGLjVa1alfzzzz8Szz948GACgJw6dUriY/h8PqP35s2bv9x/zpw5BAA5f/48KSgoYLa7ublJFYYsIjExkTmXiXTQzyylNLKzswmHwyHfvn2TaH+J3BVpaWnQ19eXqXeDQikJgUDANPKmqA58Pl+lvLWA7D22QOGqc+vWrdG/f3+FVAukyActLS0YGxtDT0+PbSnQ1dWFsbExjI2NYWBgIPZc586dcfPmTXTr1g0AsHz5conDtSiy5f379xgyZAgAMGkJbMDlculnQIHUqVMHHh4eTIhx3bp1cfPmTQDAgQMHYGxsjLt376Jx48Z48+YNuFwuEw1So0aNYq3GtLW1S/VM+fr64syZM2IV3EWRlNJcy0RF8AYNGsS0tiuNd+/eMYUUR44cKXZ/xuPxpPbYZmZmolq1akyo7cWLF7FlyxZYWlpKNQ6l8qCpqQltbW2kp6dLtL9E34T09HTo6+uXSxiFIgk0FFn1yM/Px6pVq1QulIgQIjfNBQUFuHv3rlS91ygUaYiPj4e7uzsA4Pfff4e1tTUCAwOZHr0UxREZGQl7e3sAwPnz59G0aVPWtNBQZHY4ffo0PDw8AACzZs1iWn19//4d1tbWCAoKQvv27eHp6QknJyf07t0bGRkZuHHjhtg4Ojo6pbb4mjRpEsaPH48XL14w2/755x+8ePECw4cP/6XGJ0+eYPDgwWjfvj0AYOHChb88Zt26dQBQYhuisoQii+oNiAzZ4cOHY/HixdRxRikVLpcLXV1dathSVBPqsVUtQkND0bBhQ+Tk5DA96VQFeXhsRXTv3h1A4Wo3hSIPjI2NMXr0aCxZsgR//vkn4wUStUyjKIbs7GzUqlULAHDs2DGMHDmSVT0cDod6bBVIYmIieDweDA0N0apVK9jb2yMmJoYp/KatrY2QkBC8fPkSANCuXTv4+/vDzc0NAPDs2TOxAlNqamrYvn07PD09i801ffp0DBgwQCx/39DQEJ07d/5phNDff/8NDoeDHj164Nq1a+jVqxdOnDjBGLg/Y+jQoQCAJUuWFCuExePxUFBQ8MsxiqKpqQlCCFOI6r8QQhAQEIDExESpxqVUbHR0dKhhS1FNBAIBXblTEW7dugUbGxuEh4ejdu3axVaelR15emxFN7d37tyRy/gUCo/Hw7lz57B582YA/yu+Qo0axcHn81GzZk0AhV5zNqog/xfqsVUsfD4fAoEAmZmZ2LZtG54/fw5NTU2cPHkS8fHxzH6dOnXCyZMnAQD9+vUDUFjt9fTp0zAyMmIMOZGH1NHRsdhckyZNgqurKywsLCTWd/PmTaYP9vbt2/Hy5Us8ePAAEydOlOj4cePGMftOnTpV7Dl5fNb8/PxgZ2eHTp06yXRcimojc8M2IyODGrYUhSAUCqnHVkXYsGEDAMDFxQXBwcEql1MqT8NWlAt58uRJ3L59Wy5zUChFERm01LCVP4QQ3L9/HyYmJkhNTUWLFi3g6urKtiwA1GOraCwsLLB9+3YAQO3ataGjo8P8bWpqiv379zP7TpgwAWPGjMH379/RpUsXGBkZMc+ZmJjg8OHDGDJkCGbMmIHU1NQyXTsEAoGYF3Xnzp0AAA8PDyxcuLBMBuOaNWsAACkpKWLbZWnY5uXlwdnZmQl5DgoKksm4FHYRCAQyOR/p6OgUy0cvDYkM28zMTOjq6pZLFIUiCfIMD6XIjuvXr+P9+/eYMWMGnJ2dVc6oBeRr2GprazMtEvr374+nT5/KZR4KRcTYsWMBoEw9cymSk52dDQsLC/Tt2xeZmZmYPXs23r59qzTXLWrYKp6FCxeCEMIUkJo9ezY2bdoEAJgzZw7zOwAsWLAAY8aMgYWFRbFc2hkzZmDRokVMEbIVK1ZIZTjev38fPB4P6urqmDhxIu7du4e3b9/C2dlZorDj0ggODgZQ2KNZ1NoPkN6wJYTA3d29xDoAPj4+uH79Oi5cuABHR0esXbu2zHopykFYWBh4PB569+5d7rG0tbVla9jm5eWp5I0rRfWghq1q8PXrVwCFF15VRZ6GLVDYy1BUHVPSsC8KpSwEBwcjLCwMTZo0Qf369dmWU2Fxc3ODubk5YmJiYGtri/fv32Pfvn1KtZhADVt2uXLlCubPnw9ra2tEREQAKLxOiiodN2/eHGfPnsW///6Lu3fvFjt+x44dTJVzPz+/EnNtS6PodebUqVNwcnJCbm6umGe4LDg4OMDOzg5AYY6w6PMlMmyDg4OxYMECrF69+qc5/tu2bUOnTp2YQmtFWblyJfP7/fv3sX79+nJpprBPcnIyAODRo0flHovH40lcP4IathSlQt7GBqXsCAQC3Lp1Cw0bNsSiRYugq6vL5JepIor4rLVu3RoAaHg9Ra5cvHgRAGBvb0/Pn3Li5cuXcHR0RFpaGvr27Qt/f3+0atWKbVnFoIYtuyxduhS7d+/G0KFDERQUhLNnzwIojHz8L7a2tkhKSmJyb0XXCRsbG9SqVQuampr4559/JJr30aNHiIuLw5QpU5CVlYXo6Gjmcfjw4XK9Jg0NDab4lbe3N5YuXQqg0LBNSUlBw4YNsWvXLmzYsAFVqlRBy5YtERYWhri4OOZx5coVLFmyBACKFaECCg2Xxo0bY/r06QBA88QrACYmJtDW1hYrdlZWjI2NkZeXJ9G+Ehm2+fn5SrUiSam4UI+t8jJlyhQMGDAAwcHBmDdvHvbs2cO2pHKhCMNWVCl6woQJcp2HUrkRtfowMTFhWUnFJDQ0FA4ODgAAd3d33L17V2kXEKhhyy5FvaZv3rxB9erVARQvvCTC2NgYzs7OWLp0KdMC58KFC/jw4QNyc3MlLkAoqsA/Z84c6OjowNzcnHmUd2H14sWLMDY2Zv728/MDALx+/Zq5D5gwYQJWrlyJVq1a4dOnT7C2tkaNGjWYx7Bhw5jj582bV2wObW1tBAQEoGfPnuXSSlEucnJyZNKCztDQUGKPrUQNQ6lhS6FQfvz4AUNDQzx//hzNmjVjW45KIOrxZ25uzrISiiqTmpqKpUuXolOnThg1alSx5xs2bAhra2sWlLGLt7c3du3aBT09PWzfvh1aWloynyMuLg42NjYACgvxdOjQQeZzUCoOK1asQHBwMP79919YWVmhe/fusLCwKNFjK0JfXx///PMPBgwYgHbt2sHe3h5r1qzBmzdvoKenJ9G8IuNV0jxEaViwYAEA4Pjx4zAzM0PTpk2RnZ2NwMBAAEDNmjWRm5uLb9++oW7duoiKimJCr0WIwlL79OnDFLQqyrZt23Dt2jU4OzvLXD+FHWrXrg13d3dUq1at3GOlpKTAzMxMon2lMmxpfzyKvBEKheBwOPSz9hNevXrFFKm4ceMGWrZsKfc5CSH4/v07evXqBVtb2wrx/1HEZ23ixInYsmULZs+ejbVr1+Ly5cuwtLSEqamp3OakKB9CoRBCobDMnzUfHx+cPXsWL1++ZPpKFuX27duIjo6u8NdpLy8vjBo1iom2+PHjB/Pc06dPcf/+fZkuIuXl5aFu3brQ1tbG6tWrMXv2bKV/f4VCIQQCgdLrrMicPHkSR44cASEEQUFB6NatG65evYr69evDy8sLOjo6JR7XqlUrnDx5ErNmzcLWrVthZWWF2bNnY8+ePRg/fvxP5+zUqRO0tbVx5cqVEnNYy8rt27eRlpaGZcuWMQXqACArKwtqamrg8Xho1KiRWGujhg0bFhuHEAIbGxvs3bsXAoGAWfQVUb16dWhrawMoTKlo1qyZ2Gc4OTmZ+b4bGxvTa6iK0KZNGwDl769OCJF4DA6RIGZl4cKFSEhIoCspFAqFQqFQKBQKhUJRCMePH0eDBg2YVlo/QyKPrbq6OqpUqYK+ffuWWxyF8jMCAwPB4XDQqFEjtqUoLc+ePcPAgQPFtnG5XPz+++/Izc3FqlWrmAqGsqJFixYIDw/Hly9fKsxKaUBAANTU1EpcXZY1hBAEBATgwoULOHDgAJydnZGWlgYAaNasGVavXi13DRT28Pf3B4/Hk8tnbeXKldi3bx/q1q2LT58+yXx8ZYEQAltbW8TExCA5OVksb3DBggU4ceIE9PT0EBwcLJP2hEOHDsWDBw9Qt25deHl5gceT6HaJdeT5WaNIx7Fjx7Bo0SJcvnwZvXr1Qr9+/eDh4YGLFy+Wej89btw4uLq6YseOHVi4cCGAwnB4kTfzZ/z222/4/PkzoqKioK+vL5PX4OLigkmTJmHRokVYtWoVs/3UqVPw8/NDeno6jh8/Xuy4NWvWwN/fHxoaGli/fj0Tzl8aotctIjg4WCz0tE+fPnjz5g2Awj7xouuniB49eqBjx46YP38+gMLzxV9//YWvX79CS0sLW7duVelil5WdEydOSJ4SSyRg1apVZMqUKZLsSqGUC19fX+Ln58e2DKWnadOmBADzUFNTY37ft2+fTOfasGEDAUBq1apFhEKhTMdmEx8fH+Lv76/QOa9cucL8n9TV1cX+h6dOnSLPnz8n379/V6gmivzx9vaW22etZcuWBABJTk6Wy/jKQk5ODvNdKXoeEgqFpEOHDqRx48Yym+vw4cMEANHU1CR5eXkyG1cReHt7k4CAALZlUP6fRo0aEQAkKiqKpKSkEABEQ0Oj1P0HDx7MXNP/+OMPsnr1aonnmj59OgFAtm7dSnx8fMqt3dvbm/nOFdXh7u5OAJCZM2eSkSNHkqFDh5J379799Nr2K0SvW/R48OCB2PM+Pj5EW1tbbJ+lS5eST58+EWdnZ2Zb9erVSUpKCsnPzxfb19XVtdzvB4U9Jk6cKPF3QaLys+rq6hKXWaZQygOt6CgZouqnokqFhw8fxunTp3HkyBGMHDlSpnN9+fIFQGGen7JWAi0riv6sFa0s6erqisTERKxZswZAYVXJLl26wMLCApGRkQrVRVFdCCFQU1OTS+EkZaI0j6mfnx88PDxk9l3Oy8vDokWLAACRkZEqVziT0JZ5SsXnz58BANOmTYOhoSE6d+6MvLw8+Pv7l7j/hg0b0K1bNwgEAty4cQM9evSQeK7FixczP5s1a4a4uLgy646IiEDz5s0BAH/++SfThgcAwsLCAAD9+vVDQUEBrly5wuRSLly4sFg+sKam5k/nSkpKgqmpKfr06YOuXbti7dq16Ny5czE9OTk5AApzkT9//ox//vkHzZs3h4uLC6Kjo+Hs7Iz4+HikpKSAx+Ph9u3bzPGyKGBEYY+8vDyJz8USG7a0EAFFEYgaflN+zu3btxEVFYWhQ4fC1NQUjo6OGDduHKZOnSpmPMkCHo+Hdu3awcDAQKbjsg0biyjdu3dHZGQkvn37hr59+6Jq1apYu3Yt4uLiEBISwhi5tWrVQps2bZjQKwqlNOrVqweBQMC0+6ioFBQUML8XNdz++usvAMDp06dlMs/r16+RmZmJ3r17M61aVAlq2CoXRkZGAIB79+4hKCiISTvZu3dvifs3bNgQjx8/xvPnzwEUGqkuLi6wt7eHvb09Nm/eXOpcderUQUxMDFNJuawOqezsbNSpUwcAsH37duzatQs1atRgnhd9F01MTLB06VLUqlUL1atXx549e5CQkIBjx46Jjcfj8fDixQs0bdoUjRo1QqNGjdCgQQNs3LgRAODm5oYDBw7Azc0Nz549Q3R0tNhC3fHjx7Fq1SpYWVkBAD58+IBp06aJLQCbm5tj0qRJAMAYQP369cO6detQt25dTJ06Fbdv38aUKVPQpk0btG3bFvb29ti6dWuZ3qPSyMvLQ3p6erGq0JTyISqOKBGSuHW3b99OBg8eXDb/MYUiBZ8/fyYfP35kWwalCFOmTCH29vZsy5A5/v7+MgnXkjX79+8nkydPZkKo+Hw+25Io5USeocjh4eHMZ6UihyNnZmYSAOTChQti26tXr04AlDtkWCgUkmHDhjHvZVBQULnGY4sPHz6orPaKiIuLi1jo7I8fP0i9evUIABIREVHqcQUFBcVCbwGQ9u3b/3JO0b7p6ell0hwUFEQAkNatW5f4/KhRowgA8u7dOxISEsJsX7t2LQFAdHV1yfHjx8nMmTPJrFmzSFxcHNmyZUux19K5c2dCCCHfv38nM2bMIJMnTyaTJ08mHh4ezJheXl7M/keOHCHfvn0jffv2JQDItGnTiIuLC7l+/TpJT08nrq6uBACJj49nju/YsSNzvKWlJRMKXvQaO2fOHHL37l1SUFBQpvdLRH5+vlgY9rt378o1HuV/dOrUiezYsUOifSWqhqCjo8OEAFAo8oR6bJUPHo8HLy8vfPnyBfXr12dbjkwhShj2PmvWLABgCnL8888/TEhZ48aNMWfOHNa0UZSP2rVrY/DgwXBxcUGtWrWQlJSkcuGzkiC6Lty8eRPv3r1D/fr1ERYWhtzcXACFK/q1a9cu8/ibN2/G5cuXAQD3799X2XMdoR5bpaJfv364ceMG3NzcsHnzZmRlZWHVqlUYP348jhw5gk2bNpV4nJqaGrZt24bZs2cDAJ48eYJjx47h0qVL2LJlC5YsWQKgsAjiwYMHMXXqVKa//PLly7Fp06YyR1qKCk/FxsYWey4tLQ3nz58HUPid5HL/F/gZEREBAHj37h1sbW0ZDyoATJ06FXXr1hW7v2vRogWAwj64Bw8eLFFL0UgNKysrWFlZ4cyZMzA3N8eRI0dw5MgRABDzKru7u+OPP/4AUHgdXbFiBa5du4aoqCgYGhri27dv0NfXx+LFi1G/fn3s27cP+/btQ7NmzfDbb7/BwcEBI0aMkO5Nw//auokoWuBOBCEEmzZtQlRUFEaOHFks5JpSMrm5uRIVUAMgmcf233//JZ06dSq7qU2hSEhISAhd5VIyrl27xqxAjhs3rsIUkAoICCDe3t5syygV/Gd1W/SwsrIiPXr0IGFhYcUe1LurnMjTYyuiffv2BAC5e/duhfmOFiU1NbXU7wQAMc+RNGRnZ5M2bdow40RHR8tYuWLx8vIiX758YVsG5T+4u7uTBg0aEAsLC8bjCYA8e/bsp8elpKSQrKwsQgghx48fF/ucFi24tHz5cuaYCxcuEAAkODiYZGVlkbCwMBIeHk4EAoFEWmNiYggAYmNjU+y5adOmEQDk5s2b5PXr12T16tWkVq1apHbt2mTChAmMnrJGUKSnpxe7rvn6+haLRjl16hQxMDAgRkZGBADZvXs3CQgIYOZ///49IYSQL1++EACkRo0aJDk5meTn54uNk5OTQ6Kiokj79u1JixYtxLy7kyZNImFhYcWO+Rk5OTkkOTmZZGRklPh8RkaG2Hmrbdu25MePH1K+S5UPOzs7cv78eYn2lciwvXXrFmnWrFl5NFEoEhEWFkY8PT3ZlkH5DxcuXCAcDocAIGfOnGFbjkxQ9rB3ExMT5uIXHx9PoqKiyIoVK4ixsXGpN/e6urrk3r17bEun/AdFGLZFK5geP35crnOxgSgUWfRYtGgRGT16NFm6dCnZsmWLxDft/yUiIoIAIPb29gqvki4P/hseSlEe3r9/z3x+X7x4QQAQR0dHiY/38/Mj7dq1K/HcX3Qx4/LlyyXus3XrVpKTk0NOnTpFDh8+TO7evVviPCJt27dvL/acvb094XK5JCMjg7i7uxMnJydm/P3795Pu3bsz4b2/4tq1a+Tw4cPk8OHDxN3dnXz79q3Ua5uRkRF58eIFc+zs2bMJANKoUSOyYsUKppvA1atXCVBY0TwqKoo5/uDBgxK9xz4+PmTp0qVic5uYmJCXL19KdLwk7N27t9jrW79+PUlJSZHZHBWNunXrktu3b0u0r0SG7fPnz0mdOnXKJYpCkYSIiAji7u7OtgzKf0hPTyd//PEHc3GsCAQFBZEPHz6wLaNUQkJCyJMnT0hcXJzY9uzsbPLs2TPy5MkTsYeDgwNzkRw2bJjKe54qEoowbIVCIXn79i3zGTh37pxc52MDX19f8uTJE5KamiqzMVetWkUAkMePH8tsTDbx9PQkoaGhbMuglIBoEUXkYRT9fvXq1V8eGxwcXKrRN2jQILF98/LyyP3795nni7bDKbpgCoD88ccfZMOGDWLHu7m5EQDk27dvxXTY2dkxRuvz589J165dmbEePXpE8vLyiLq6Opk8efJPX09sbKyYjjp16jDGqsiQFT2K7vfmzRtCCCHbtm1jtp0+fVps7KLGNlCY2ywtiYmJ5MmTJ6RBgwZi7+PQoUNlci7//v07+f3334v9LytitI0sMDMzE1vY+BkSGbYfP34kVatWLZcoCkUSoqKiJP7wUhRD0VDkunXrEi8vL7YlyYQvX75UmNci4suXL2IG7s6dO9mWRCGKMWxFLFmyhAAgxsbGJDw8XCFzqir5+fmkSpUqTFREReDNmzf0/67E3L17lzg5OZFPnz4xYbIASI8ePX563L59+wgAcv369TLNu2rVKtK7d2/Sp08fMnHiRBIQEED69evHzH/gwAFy7tw5oqGhwWxLSEgoNk7dunUJUFiAydXVlbRq1YrZ/9atW4QQQho0aEB69er1Uz1hYWFiBl39+vXJnTt3SJ8+fYo9iu63atWqYmNoaWkRLpdLOBwOuXTpEjl69ChxdHQkffr0IXv27CnT+1WUFy9eMOOJdLi7u5OoqKhyjx0dHS1miA8ePJgatyWgp6dHPn36JNG+Ehm2oaGhhMfj0TebIndiY2PJ06dP2ZZBKYKtrS0BQI4ePVruqoHKRGhoKHn79i3bMuSCKMeKx+Mx+VkU9lCkYUsIIVOnTiUAiLq6ulT5YZWNw4cPEwBk8eLFbEuRGR4eHj+ttktRLt69e0eqVatGAJCvX7+Wut/WrVuJoaGhzOcX5dOW9CipZsPjx4/Jjh07GE+zra0tc74BCnPdRZXKfxY1IhQKmXsLAOTKlSul7vvixQtStWpVxgAvym+//Vai9rIuAPyKonnEotdbHk6cOEE2bNhADA0NmTG3bNkiI7UVg7y8PKKmpiZxJIpEfWyNjIxQUFCArKwsSXanUMqMmpoaBAIB2zIo/8/27dsRGBgIY2NjTJkypcQqf6oKG31sFcWIESMwbtw4FBQUwNjYGDdu3GBbEkWB7NmzB4sWLUJ+fj5TXZsiTm5uLqZPnw4A2LBhA8tqZIdQKKRVkVUIe3t7piJwnTp1kJGRUeJ+2dnZkleFlYIaNWrA2dkZurq66Nu3L6KiohAXF4eYmBhoamoW27979+6YO3cugMJraG5uLvr06YNDhw4BAE6cOIH79+8DAMaMGQN/f/8S5+VwOPDx8YGfnx++ffuGIUOGlKqxc+fOiI2NRUBAAKZNmyb2XMuWLaGrq4uhQ4fi69evcHFxAQAMGjQInTp1wpkzZ5jK6bLgxIkT+Pz5M1PN2sbGhunHKy1JSUmYNGkSVq1ahdTUVGa7qNIzpZCEhAQIBAIYGxtLtL9Ehq2hoSG4XC4SExPLJY5C+RVqampi5d0p7PLq1SsAwMePH1lWInsqemupkydPYsGCBcjNzcWgQYOwe/dupKWlsS2LogC0tLSYtlAzZsyAl5cXy4qUj/79+wMAOnXqVKHaGRJCxFqwUJSfIUOGYPDgwQAKW+1s3ry52D5ZWVmoUqWKXOZ3cXFBZmYm7t69CwsLC5iamjKtc0pC1MaHy+UiNzcXVapUwfTp02FgYIAnT54gISGBMTA/ffpU6jg8Hg92dnawsrL6pUZ1dXXY2toWW1w/cOAAMjMzcfnyZdSuXRvOzs64e/cuxowZA3d3d4wfPx5aWlpwcnLC/fv3y/1d53A4aNiwIZYtW4YDBw4AAFauXFkm49bIyKjE7RYWFuXSWNGIjo6GmpoaDAwMJNpforMfl8uFsbExkpKSyiWOQvkV6urq1LBVIiwtLQEAHh4eLCuRPRXdsOVyudixYweePHkCAJg/fz6qVq2KuXPnYu7cuZg/fz4iIyNZVkmRF1ZWVszC1N9//82yGuUjJSUF+vr6ePXqFXbs2MG2HJkhEAioYauCXLhwgemjvGzZMnh6eoo9n5WVBV1dXTakFePr168wNTUFl8tFdnY20/e2atWq8PLyQp8+fZje63p6egrX17dvX5w9exb+/v44e/YsAODevXvo27cvatasiefPn8tknpkzZ+Lbt28ACo1baSPAli1bVmzb2bNncfjwYebv8+fPY+XKlRL3JH737h0WLFjA6KoIxMbGwsDAQOLzmsRnv6pVq1KPLUXu8Hg8CASCChsiqmrs3bsXADBq1KgyN3tXViq6YSuiW7duSE9Px/jx49GwYUM8f/4cz58/x+7du3Hu3Dm25VHkSNu2bQEU3tRR/sezZ8/g5eUFGxsbAKhQ6S9CoZAatipEUFAQLCwssHPnTgwdOhTPnj0DALRr1w4BAQGIiopCVFQUoqOjlcawTU1NRfv27QEUhkiLPMmrVq1i9pk9ezYAMEavIsjMzESbNm0wceJEAEDjxo0xZswY8Pl8xMXFoVu3bkhJSUHXrl0xduxYmcxpZWWFdevWAQC+f/8uFvYcFxeHxMRE5n8oejg7O6NBgwbYunUrAGD58uUAgPj4eIwZMwaNGjVixhg9ejQ2btyI4OBgifTs378fu3btgpubm0xenzIQGxtbqne7JCQ++1WrVo16bClyh8fjAQD12ioJXC6XCUmqaAtbXC63Qt3Q/gw9PT2cOnUK/v7+8PX1ha+vL4DCVebMzEyW1VHkhbq6OrZt24aCggJER0ezLUdpePfuHQCga9eu+OuvvzBmzBiWFckOatiqFl++fEF0dDRev34NAOjSpQsTQSAK07WyssLNmzehrq4OQgiuX7+OkydPMl5RNnj16hWEQiFyc3NRrVo1AICjoyOWLFnChNIaGRnht99+U5imr1+/wsvLC6dOnRLbrqmpCVNTUzx58gQPHjwAAJw7d05mNo26ujqAQiNXS0sLJ06cwNGjR1GjRg2YmJgw/0PR4/r162Jzb9q0Cerq6qhatWqpczRt2hR8Pv+XWkS1kMzMzMr5qpSHhISEn743/0UqwzYhIaFMoigUSREZthXNO6jKiE7Aov9NRYHL5VbqyIDt27cDQKnFSigVg9q1awP43/+bUnh94XA42L59O/h8Pho2bMi2JJkhFAorVJG/io6joyOePn2KY8eOMdvmz5+PYcOGASjMZx05ciQA4Pnz52jfvj2cnZ0xadIk1KhRA3l5eQrX7OrqirNnz4LD4aB3797MQpGpqSk2b96M4OBgPHr0CBEREdDR0VGYrvXr1wPATz3bvXr1Yop1nTlzRibzzp07Fw8ePEDnzp0BAJMnTy5W5AoAjI2NsWvXLhw5cgT29vbM9nv37uHjx4/FFqSK3p8QQvDHH3/8UsvBgwfx9OlTODk5lfXlKB2JiYkwMTGReH+JDVtTU1PEx8eXSRSFIikcDgc8Ho96bJWIfv36AQCqV6+Obdu2saxGdlQmj21JNGvWDEDhTRSl4jJ48GDY2toiICCgUi/kFCU/P595L0Q56BUF6rFVLdTV1dG1a1dUr16d2cbhcHDp0iUIhUIcP36cCfvt3r07qlSpggEDBjCGkaamJjQ1NbF27VqxcU+fPg01NTVoaWkx3lVZUbduXbRt2xaEELi5uTG5wSJ0dHTQo0cPhYYhA2AKVjVp0uSn+4mqoS9cuFAm74uuri569eqFFy9eQCgUYsmSJQAKKyYLhUKsXr0a3bt3R3JyMubPn49p06bBzc0NTk5OiIiIgKOjI+zs7IqNy+FwsHPnTuZvNzc3nDt3Dl5eXqXWxzA1NUXXrl0rlCMiISEB5ubmEu8v8Ss3MzNDVFRUmURRKNKgrq5OPbZKxOXLl3Hs2DHMnDkTixcvRvXq1TFu3Di2ZZUbNTW1SpFjWxodOnSAjo4OIiIi2JZCkTMFBQV49OgR9uzZgz///JNtOawj8iJVqVIFU6dOZVmNbKGGbcVB1LYpPT0dADBw4EDMmDEDampqyMnJwYkTJ5CTk4PFixdj3bp1TEgsUOi9FIUKd+7cGS1btsSgQYOKzdGxY0c4ODggKSkJJ06cQO/evZlFz5+Rn5+PKlWqYOfOnejTp4+MXnH5GDRoEK5fv/5L7x6Hw0HXrl3x7NkzmbfGCgsLY3KOuVwuOBwOk4Pr4uKCr1+/Aig0egcOHPjL8YYPH44FCxYwf+/duxfv378HAAQGBorl41ZUkpKSmHoIEiFpg9yDBw8SR0dH6brqUihl4OnTpyQ2NpZtGZT/4O3tzTQQf/HiBdtyyk1KSgq5d+8e2zJYZdq0aaRVq1Zsy6jweHt7E39/f9bm//LlCwFAatWqxZoGZSI/P5/UrFmTACBt27ZlW45MuXXrFsnIyGBbBkWGuLi4MNfeadOmkYKCArHn582bR/T09Ej16tWZh7GxMZk3bx4JDAwkpqamzPPVqlVjxgJAOnToQAgh5NixYwQAGTdunESaoqKiyMuXL2X9Un9KUlIS6dWrF9mwYUOJzz9//pzo6+uTPXv2/HKs1atXExMTE1lLJLNmzSIAiLGxMZk7d65MxnR3dyc6OjrEyMiIDBgwQOz/l56eLpM5lJnWrVuTQ4cOSby/xB7bGjVqsJqoTqk8UI+tctKsWTO8ffsWbdu2xcqVK/HixQuZr3YqkspSFfln8Hg8+l2rBNjY2GDBggXYuXMnMjMz5dYPU1Xg8Xg4efIkevfuLZHXRFUghNAc2wqIs7MzUlJSYGRkhCNHjuDIkSNwdXUFl8tFp06dsHv3buzevbvU44veu9va2jKFII2NjdGoUSMUFBTAwcEB48ePl7hacF5enpiHWBrc3d2RnJwMoPA67ODgIFFboKZNmyI6OhpeXl5YuXJlsecdHBx+2as9JSUFZ86cwfr166XzAhYhNDQUgYGBaNCgARo0aCD2nChl89mzZ2jatGmZxv8vHTp0YIpC+fj44NatW0wqRUJCAvT09ODh4QEDA4MSQ5pVnZSUlJ/2Vf4vEsermJmZITY2tkyiKBRpUFdXZ6UgAuXXtGnTBo0aNcKrV6/g5+fHtpxyoaamVqlzbAG6iFSZEOXwHT16lGUlyoHoGhMeHl5h7m1EC3U0FLniYWhoiIiICCaceODAgejfvz+MjIwwe/ZssceiRYsYw/G/fP78mfk9OTkZx48fh7u7O2xsbHDq1Cl07dpVIj35+fllMmyjo6PRqVMnDBgwAAMGDMDvv/9e6jnp7NmzWLFiBXONElV2b926tdTziti4cSNTV+LIkSNSHZufn48VK1bAxsYGAwYMQMOGDTF79mzcv3+f2UdLSwtAoSPA39+/zDpLo3nz5iCEoFu3bvj3339Rt25dxMTEoGPHjmjSpAlWrVpV4e5rkpOTparyLPHZr0aNGoiPj6dFfShyh95sKzfXrl0DAPTp00elT6CiqsikEhfUod+1ysPixYsBFBZMycnJYVkN+4gM22PHjjG9Q1Ud0fmYemwrJrVq1cK1a9eQmJiIHz9+YPTo0bCzs4OHhwfzcHFxwY4dO1C1alVs27YN4eHhYo/Lly9DR0cHpqamsLa2BlDY9sra2hr16tXD06dPER4ejvT0dMTHx+PDhw9o2bIlatSogX379jHjpKWlIScnB+Hh4fj69SuzqJKfn19szuPHjzP5pra2tszrMTU1haWlJWxsbNCiRQuoqanh9OnTzPPjxo3Dpk2bEBkZKebs6N+/f5nev4CAAOzYsQO6urrw8fHBly9fULduXdjY2MDc3PyXVZL79u2LTZs2QU9PD05OTrC1tcWBAwfQt29fdOzYEUKhEKdOncK///4LoLCI1X9b9Pz48YPxvpaF4cOHQ19fH0+fPsX48eNRu3ZtpKSkMM///fff0NXVxadPnxAfH6/y7fyys7ORlpYmlcdW4hzbvLw8wuVySWRkpLTh0RSKVPj5+REfHx+2ZVBKQSAQkCZNmhAAZOnSpWzLKTO5ubnE1dWV5OXlsS2FFYRCIWnUqBExNzdnW0qFh+0cWxGjR48mAMj379/ZlsI6Fy9eJADIX3/9RRISEtiWIxOys7OJq6srEQqFbEuhsIRAICCbN28Wy8Ms7dGpU6di28zNzSU6ds6cOWT48OHM3/Xr1ycHDx4kZmZmEh3ftGlT5ncjIyPm9yVLljCv5d9//yVbtmxhPs979uwhx44dK/N7c/Xq1RK1LF68mPn948ePJR4bEhJCAJDatWuT/Px8Zvvz58+Jnp4eAUC2bNnCbP/9998JAOLt7c1sE9U6aN68eZlfAyGEPH78mHTr1o3R3Lx5c/Lp0yex1yTKmW7QoEG55mKbDx8+EC6XK9V9msQ5turq6jA3N8e3b99gaWkp6WEUitRoaGjQ3ppKDJfLhZeXF9Ozbvbs2ahZsybbsqRG5NWorHm2kZGR+Pz5s0r+7yhlQ9Qigoaq/s9ju2HDBmhqarKsRjYIBALGM0apnHC5XCxZsgRDhw5lKvD+l8jISEyYMAGvXr0q9lxMTEyJx1hZWTGewYyMDOjr6yM0NBR6enrIyMjAly9fMHPmTIk0qqmpwdfXl/lbIBDg06dPSElJEevvOmrUKLHj5s6dK9H4pTFw4EC8fPlSLEqpTp06qFOnDuzs7DB27Fi0bNkSSUlJMDY2Fjt21apVAIDDhw+LtdJxcHBAfHw8tLW1sXr1avz111/gcDiYM2cObt++jebNmyMzMxO6urpMdJiot3hR/v77b4SHh+PIkSO/DPHu3r072rVrx/TrNTQ0RPPmzREYGIg+ffogMjKSCYkODg5GeHg46tatK/0bpgQEBwfD1NRUqrB3qRodWVlZldo7iUKRFZqamkxxA4pyoqmpifXr12PevHk4ffo0VqxYwbYkqRHd3KtyOHV5+OuvvwDIrkk9Rfl58+YNdHR0xHpmVlZEC1o7duzA8uXLyzxOUFAQeDweE9b5K6Kjo/Hjxw+0aNFC5gaoQCCgYcgUAP8z2Epj/PjxYn/n5+dj8uTJiI2Nhbq6eomfzZycHCaNoWbNmkhOTi5xkUxLSwv79u1DjRo18OXLF8ybNw9ubm4AAD09PbHw2KFDh+LIkSMwNDQsw6uUDh6Ph06dOpX43JgxY/Dhwwfs2bMHVatWBQC0atUK//zzD37//Xfk5uZi9OjR6N27d7FjtbS0UKdOHXz9+hUjR47EhQsX0LNnT4wYMQIXL15ElSpVYG1tjc+fP+P79+8ICwtDTEyMWG9WkeG8efNmic7POjo6+PLlCxYvXozRo0cDABo1aoQHDx4UC0Fu2LChytatCQsLg4WFhXQHSeMSHjFiBNm0aZO0nmQKRSpiYmLIs2fP2JZB+QUFBQVM2Aufz2dbTpm4ffs2SUtLY1uGwjl+/DgBQHg8HsnJyWFbToVHWUKRdXR0yK5du9iWoRSkpKQQAGTChAllHiM7O5s5B0qKKFTz8+fPZZ63NJKSkoibm5vMx6VQCCHE0tKS+bwfOnSINGnShKSmppa6/6NHj0oNRd67d6/S3efl5+eTU6dOkb179xIOhyOmd8yYMSQkJKTUY5OTk5l9jx49SgghhM/nk+PHj5OGDRsSAGTTpk2kQYMGBABp06aN2PH37t0jV65cKZf+zMxMwuVySwzxjomJKdfYbDFlyhQydOhQqY6RKh6JemwpikBDQ0NlV5cqE2pqajhx4gQAMA3IVQ0ej1fpPLaEEEyePBkAsHXrViZkiVLxyc7Oxvz582kRSBSG7zVt2hSnTp0qNfzyV/B4PNjZ2cHBwUHiYxwdHVGjRg2YmJiUac6fQT22FHlStOicvr4+0tPTYWhoiHv37pW4/4YNGwAA+/btY7b9/fffSE1NxZw5c9ClSxe56pUWHo+H8ePHY86cOfD29ma2R0ZG4uzZsz+NyjAyMmKqIE+dOhWvX79Gfn4+Jk2axLRiWr58OZPKGRMTg5EjRzLHOzo6YsiQIeXSHx0dLZZapa+vz/wu8pirGrGxsT+NPCgJqQzb2rVrlxqzT6HICk1NTeTm5lbqarWqwh9//AEAePLkCctKykZla/kjEAiYHKbjx48zbQ8olYNu3boBgMq36pIVotYpNWvW/GX/y5JQV1eHn58fnj9/LvExJ0+eRExMDBPuKEuoYUuRJ35+fpg7dy40NDSgq6uL9PR0AMCHDx9K3P/79+8wMTHBnDlzAADbtm3DihUrYGBgoDDNZUX02lq3bi1xXaHGjRvj/PnzAAp7z+rp6WHr1q1ISEjAsGHDAACPHz9GrVq18P37d1y8eFGmmmvVqoXFixdj+vTpmD59Onbu3IkDBw6gV69e4PP5ZTrHsU1sbGyJOck/Q6ocWxsbG4SEhEg1AYUiLZqamhAKhSgoKChzA3CKYjAyMsL8+fOxa9cufPjwAa1atWJbklTweLxK5b2aOXMmcxNSdLWYUjlYt24dnj59inXr1sHV1ZVtOayzevVqfPr0CTdv3kT9+vURFxen0oWXCgoKxArbUCiyxMzMDHv27MGqVavw8uVLxlBq3Lgx5s6di5SUFMyePRvu7u74+PEjuFwuEhISABS2G1u0aBGb8qXi27dvACBdmxkUXlctLS3x/PlzrF69GkuWLCm2T2ZmJl6+fAkjIyOZaBWhqamJLVu2iG0zNjZGSkoKHj58iO3btyMsLKzU48PCwrBhwwaMGjUKPXv2lKm2shIdHY369etLdYzUhm1ERATy8vKgoaEh1UQUiqTweDyoqamBz+dTw1YF6NevH3bt2oXWrVsjOjparCCCslNZDNusrCy0bNkSX758AVC4Gq2trc2yKoqi6dixI3r27ImbN2/C29sbzZs3Z1sSq3A4HLi6uqJBgwb48uULUlJSilVDVSWoYUtRBFwuFzo6OsjOzgaHw0FERAScnZ0BFBatEoUg9+jRA/7+/uBwOCpnM4SHhwMAbt++jcjISFhZWUl8bKdOndCpUycsXbqUCQ1++fIlNmzYADU1NfTu3btYESuhUAh/f3/UrVsXVapUkdnr0NPTY6pZi15Tady5cwdnzpyBrq6uUhi2ol7KNjY2Uh0n1RnQwsICGhoaCA8PR8OGDaWaiEKRFA6HAy0tLfD5fOjp6bEth/ILunXrhsOHD2P69OnYvHkz9u7dy7YkiaksocgPHz7Ely9f0KlTJ5w+fZp+ryoxCxcuxKNHjxAREVHpDVsR1tbW+PLlS4mLPVeuXEFaWhqmTJnCgjLpoIYtRRHk5uZCS0uLaZNVr149HDx4EJmZmRgxYgSaNWuG0NBQ9OjRo1yttCIiIvDvv/8yaWnVq1eHjo4OIiIioKWlhenTp8vtWla0ntC0adNw//59qcco6pjp2bPnT43FW7duMaldOTk5Mqt98fHjR5w+fRoFBQWwtbX96b5DhgxBfn4+k6LBNh8/foS6urrULQmlOgNyuVxYW1sjJCSEGrYUuaKpqQk+n8+2DIqEjBkzBtOnT8e+ffvQrl07jBgxgm1JElFZPLZ79uwBABw8eFBl+9lRZEOLFi0A0F62Ivh8Pu7duwcej1fizaQoN27YsGFixViUEWrYUhQBn88XM1jV1NQwY8YM5m+p27OUwqFDh7B161bGO/xfFi9eDFdXV/To0YPp6SorgoODMXDgQDx//lwhvd6Dg4OZ3wMDA9GyZcsyjXPnzh2sXr0ae/fuRceOHVG1alUsXLhQomPNzc2VKlzcz88PderUkfpaJfWVrX79+kw4G4UiL0QeW4pqoKOjw+Ru3Lhxg2U1klMZDFtPT0+8ePECffr0gZ2dHdtyKCwTFBQEALTI0P8jqvS6aNGiYvm1RQsYamlpISAgAPfu3ROrPPozoqOjce3atRJvyuVBQUEB/b9S5A6fz1dINf2kpCQAYL4/Ojo6xXJWBw4ciCpVqmDmzJm4fPkyfH19cfPmTVy7dg0BAQFwdXWVusvGwYMH8erVK1hbWyMzMxOxsbGyeUE/oU+fPpg4cSL+/PPPcl2n7969i0+fPiEwMFCG6tghODgYDRo0kPo4DpGy9Ozy5csRHx+P48ePSz0ZhSIp/v7+IISgSZMmbEuhSMGwYcNw5coVhIaGol69emzL+SW+vr7gcrkV2uDr378/bt++DXd3d3To0IFtOZUSHx8f8Hg8NG7cmG0p6NSpE1PcReS9rcxkZWWhSpUq4HA4JRqsb968gZubGxISEnDhwgWkpaXB39//l//LHz9+wMzMDADQvHlzfPr0SS76i+Lt7Q1NTU00atRI7nNRKi8fP36Ejo6O3CM3o6Oj8fr1a9y7dw9fv35FlSpVUK1aNZw5cwYA8OzZM4SHh2PSpEk/HcfZ2RkuLi4SzRkbGwtzc3NwuVzEx8ejWrVqAApzYFWhsFxsbCw8PT3Ru3dv6OjosC2nXDg6OqJFixbYtGmTVMdJ7bFt2rQpbRVAkTva2tpiPdMoqoGogIS1tTWysrJYVvNr1NXVK7TH9p9//sHt27cBFLYtoFReUlJSYGpqCnd3d4wYMYIatf+Prq4uli1bhurVq5f4fLt27XDy5EkcOnQIAwYMQNeuXaGmpiaWg1cSL1++ZH739vZGbm6uTHWXRH5+Pg1FpsidnJwchRQfzMjIwKJFi3D69Gm8ePECqampCA0NRYcOHTBx4kR06dIFEydOBJ/PR3p6Oo4ePYo2bdoU687w8eNHiecU9eTdvXs3qlatir/++gsA8ODBA9m9MDlSo0YN/PHHHypv1ALA169f0axZM6mPK5Nh6+/vXykKrlDYQ1tbW2HhWxTZMXToUOZCcOTIEZbV/Bp1dXXk5+ezLUPmJCYmYsGCBVi+fDmAwiIc5SniQVF9Jk6ciPj4eHTp0gUrVqxgW45SUVBQ8NMiNGfOnMHu3btx/PhxPHnyBI0aNUKtWrV+uiiWmZkJoDCsEQDWr18vW9ElQFvkURSBIgxbQghmz56NyMhIrF27FgkJCXB3d2ceJ06cYPbV1NSEnp4epkyZgrdv3+Ldu3c4cOAAmjZtCgDYtWuXxPOGhYXBysqK6b07evRoAKBRqgomNzcXERERzP9QGsqUY1tQUPDLstGSkpubi9TUVEgZEU2p4FCPreoiMmwXLlyIO3fusKzm5/B4vApp2N69exe7du2Crq4u3N3dUatWLbYlUVgkMDAQrq6usLOzw9OnT5UiJFqZyM7O/qmHo1u3bpg3bx7U1dVBCIGtrS3q169faj6rQCBAVFQU1NXVMXXqVGYOeZOfn08NW4pcIYQgJydH7h7BoKAgPHnyBPXr18eaNWuYkGBJePPmDS5cuABfX18YGhpiwIABEh/73zQqa2trAMDz588lHoNSfry8vEAIkbrVD1AGw1aUJ+Tr6yv1ZP9FIBCgatWqMDIygr6+Pv3gUBi0tbWRl5dHIwNUEBMTE7x79w4AmDBYZaWihiKLvLOxsbE0r5aCHTt2AAA2b96sEnliiiYrK0viqqpcLhcBAQEIDg4u8b18/PgxzMzMsGbNGlStWhVqamrQ0NDA7t27kZGRIWvpYtCqyBR5k5eXB6FQWO7iUWFhYbh+/XqpIfpt27YFADx69EjqsW/cuAEPDw906dIFw4cPl6p4VEhIiJgxpaOjg4EDBxYLb67ovH79Gs+ePWNt/rdv36J+/fplOp+Vqd5/06ZN4ePjU5ZDxSf//ybPQGHYTteuXZlGwpTKjaamJtTU1Gg4sooiyj9T9vDXihqKfOrUKQCK8RJRlJv8/HycPHkSANC3b1+W1Sgn0hi2PyMxMRE9e/ZEYmIi2rVrx/S+FEWxyHsRjXpsKfImKysLmpqa5VpACQgIgLW1NZydnVG3bl0xeyIkJASDBw9GRkYGpk2bBisrK6nHDw0Nha2tLZ4/f47Dhw/j7du3Eh1HCMGXL19Qv359se1lrc6rquTl5aFDhw7o1q0bawv/vr6+Za4DUSbDtkWLFlIlY5cGh8NBbGwsbt68iVatWqF///4KSUhXZiZOnAgOhwN3d3eoqalh6NChbEtiBQ6HAx0dHZUoQEQpjqjf44sXLxRSNKWsVFTD9v379wAAIyMjlpVQ2EZ0Y3L69GnqrS2FrKwsfP36tdwpURMnTgQA3L9/H69fv0bz5s0BgOkd/bM8XlmQl5cHDQ0Nuc5Bqdz8Kmy/JHJzc+Hp6Yk3b96gTZs2Yl0IYmJi0Lx5c2YR9sqVK7h27Rp69eqF1atXS63v/PnzuHnzpphHWdLuGlFRUcjOzhYzYvPz8/H582fs27cPHA4HderUqZBRXkChQ+LLly/g8XgYMmQIJk+ezFoESFBQUJm95GUybNu0aYO3b9/KJC9WTU0N/fv3x/v374t9GCsj3759AwB8//4dQqFQJgsIqoquri41bFWUzp07o379+vD19UXz5s2V9kKgoaGBvLy8Cpfjb2xsjL/++ove5FKY6ryV/dr6M7KzsxEWFoY3b96Ua5wvX77AzMwM3bp1E9uelpYGoNCTJC8EAgGEQiH12FLkSlmiG3bu3Il27dqhffv28PLyQpMmTfD48WMQQpj8V1FLl9TUVADAuHHjYG5uLrW+hw8fAigsGLVjxw7ExcXB0NBQomM/f/4MAGLtskRF4ERERESgd+/eUutSdgghqFWrFho0aABPT09cuXIFx44dY0WLQCBAUFAQE44uLWX22KalpeHr169lmpRS2Hja3t4etra2MDU1xebNm5GUlAQXFxeEhoZi+PDhiIyMZDwvlRFq2KoumpqaCAgIQOPGjREUFITffvutxB6RbCMqBqOshndZ0dXV/WU7EkrlYO/evQBAe5v+BFFkQ1kXuGJiYtCyZUsEBwdj2rRpxRaURO/9vn37yif0J4jyCKlhS5En0hq2b968wfLly1GrVi0EBATg8+fP+PTpE7p37w6gMB8WADZu3IgWLVrg3LlzACBVsaii+Pr6YtCgQejcuTMWLFgAU1NTiY/9/PkztLS0ULt2bWabkZERvn//jsDAQMar/PTpU1bzT+XB9+/fmd87dOjAaiSbl5cXsrOzmYgXaSmTYaulpYVmzZpJHLdOKU5OTg7ev3+Pz58/Iz4+HsuWLUO1atXQqlUrvHv3DoQQWFpaSrzSVBGhhq1qw+Px4O3tDWtra3z48AHNmzdXurBk0U1gRQtH1tXVxeXLl+Hl5cW2FArLCAQCODs7l6ltQmUgLi4ON27cgJaWFlq2bCnVsUKhEBcvXkTNmjXx6dMn9OvXDyNGjBDbx8PDg1lkOnjwoNwKSIl62HK5Zbqto1AkQhrD9uHDh2jfvj0A4PDhw7C1tUXDhg3FqolzOBzs2LEDs2bNQocOHTB48GAsXrwYnTp1KpM+b29vXL9+HWfOnJFqwTojIwO7du1Co0aNilU7r1mzJho1agRtbW2mMKY8oy/Y4L99vNks3Prs2TPY2dmVOcqozGfAtm3bUsO2HFhYWODt27dMOxRRsnpkZCRGjhwJe3t7jB07Fhs3bmRTJqtQw1b14fF48PX1RaNGjeDn5wcLCwvcvHmTbVkMHA4H6urqUlVNVAUOHDgAoDBniFJ5CQkJwYMHD0ptS0P5n0f70KFDUtX4ePPmDWxtbTFy5EgAwNy5c3H79u1iRWaGDBmCadOmMX/LK+0hLy+Pemspckcaw3bSpEkACrsj9OnTp9T9FixYgP379zOPLVu2lLnejqgC/Pjx47F06VKJjzt37hwiIyPRq1evn+4nWjiqaAuFmpqaTG2UFi1asJq68v79e2ZBpCyUy7D19PQs88SUwlxlJycnEEIQHBwM4H+rJB8+fMC5c+ewcuVKPHz4EHw+H0Ch4fvs2TPUqVMHHA6nwnmailKlShVkZWXRlj8qjra2NgICAjBz5kwkJiZi4MCBWL58OR4/fqwUIcCiPNuKhCj08b/5QZTKxYsXLwAAw4cPZ1mJcnLnzh38888/sLOzw/jx43+6L5/Px4MHDzBhwgRwOBy0b98ewcHBGD16NLKzs7Fnz54Sj4uNjWV+b9y4sdwKSOXl5Sl9FXqKapOXl4fc3FyJPsM5OTmIjo7G8ePH0a9fPwWoK2TBggWIj48HUGjkampqSlSrxtvbG02bNsXmzZt/up+Pjw84HI5YAayKwowZM6ClpYVPnz7hwoULuHfvHlMfQBF8//4d9+7dQ0BAANq1a1fmccps2Hbo0AEfP36k7SRkiIeHB65cuYILFy4w2xo2bIjevXtjzZo1mDlzJjp27Ihu3boxRabk3RePTbS1taGmpka9thUADoeDAwcOIDAwEADwzz//oGfPnnB0dGS9cJOmpmaFM2xFfcYr8vmB8msEAgG4XC7++OMPtqUoJcOGDQNQWGjmV5w5cwZ9+vTB6dOnAQBHjhyBp6cnzp07V6p3qei57dSpU3j37p3cKlPTisgUeZOZmQlNTc2fRgbw+XwsXrwY/fr1AyGEldx+ExMT+Pr6ombNmsjLy0OrVq1+mZbj4+ODZs2a/XJsb29v1K9fXybtwZSNzZs3M060UaNGwcnJSaJzY3nJzc3FkiVLYGlpiXHjxiE0NBQdOnQo83hlNmzr1KkDIyMj6OrqwsPDo8wCKjL//vsvOBwO7t27J9H+7du3x5AhQzBkyBB07doVpqamGDhwICwsLBAeHo5Dhw4hKioKNWvWhLu7O1JTU2FsbCznV8EeHA4HVapUoV6nCkSjRo2QmZmJ79+/w9jYGI8fP4aRkRFsbGyQnp7OiqaK6LEVLY6VtQ8cpWLw9etXpSzaxjaenp4wMzNDdnY2Nm7ciB49evzymISEBKirqyM6OhrZ2dmYOnXqL6t2cjgcjBs3Dmpqahg/frzUbVKkITc3lxq2FLmSkZFRorc2JycHXbt2haGhIezt7bFt2zb4+/ujR48eZS4AVF6aNGmCqKgouLi4ACiMkBw6dCj8/PzEogAFAgGmT5+Od+/eSaT19evXCA4OrrDFc0WpFUBh2LW8Q64JITAzM8PWrVsBAHZ2djA0NBQr4CUtZTZsORwOOnfuDKDQ0+ju7o7t27dTD24RkpOTARR+EaSBx+Ph6dOniIuLw+TJk/H9+3c8ePAA69atw7hx4xAdHY19+/bBwMBAHrKVCj09Pep1qmDo6uqiZs2aiIiIwKZNm9C0aVOEhobCwMAAJ06cULgeDQ0NpStqVV6qVKkCS0vLcuWpUFSbzMxMbNmyhW0ZSsXt27fx999/o127dvjx4wf+/PNPJg/wZ+Tl5WHfvn2oXbs2zM3NJc7/O3bsGM6cOVPmCq/SQEORKfImMzMTVapUEduWnJyMevXq4fnz50hLS4O/vz8AYOzYsXj06JFcF3N+BYfDgbOzMy5dugQAuHr1Kpo2bYpDhw4x+xw9ehRHjhyBmZkZxowZ88sxRWHVM2fOlI9olpk/fz5Wr14NAwMDCIVC2Nvby3W+1NRUpsUTUNgC1sHBoXyRLaQcHDlyhLRu3Zrk5eURJycnAoBcunSpPENWKPLz88nHjx8Jn88X287n80lcXBzJy8v75RhZWVlEW1ub9O3blxBCSHBwMAFAFi1aJBfNykZQUBDx8vJiWwZFjgiFQjJ79mwCgAAgS5YsUej8/v7+xNvbW6FzyputW7cSAwMDtmVQ/h9vb2/i7++v0Dnj4uIIAHLw4EGFzqtsCIVCMnPmTNK6dWvmHGNkZESOHTsm8RgdO3YkAMjAgQOlmtvKyooAIL6+vtLKlpr379+ToKAguc9Dqby8efOGhIaGim3bt28fAUDGjRtH2rRpw3zHtm/fzpLKkklOTib3799n9N25c4ekp6cTJycnUr16dZKVlSXROEKhkBlDIBDIWTV7BAQEkI8fP8plbD6fT27dukWaN29OWrRoQdzd3YmXlxcJCgoidnZ25OjRo+Uav1yGbVBQENHU1CQ5OTnE3d2dzJgxg4SHh5dLUGXA3t6eACDdunUr1zh8Pp+cO3dOIRdNtoiJiSFPnz5lWwZFAaSmphJ1dXUCgFy8eJEIhUKFzBsSEkLevn2rkLkUxeDBgwkAhb2HlJ/DhmH7/ft3AoAsW7ZMofMqE0KhkHTv3p0AIFwul0ybNo18/vxZ6nFEN7KZmZlSHWdoaEg2b94s9XxlwcPDg0RERChkLkrl5OHDhyQ+Pl5s27Rp00iTJk0IIYQkJSWRuXPnkhkzZpDIyEg2JP6U/Px8snjxYub7LHrMmjVLqnHq1KlDAJCCggI5KWWXs2fPMu+NrBfLvnz5QjQ1NcXe/+7duxNCCElJSSHq6uokODi4XHOUq+FZ/fr1YWRkhHfv3qFDhw6YPXs25s6dy7SwoZSMKHa8vLlPHz9+xJgxY9C3b18ZqFJO9PT0kJmZSfPEKgFFQ5FHjBiBsWPHKmTeilY86uHDh0xeEWG5MBeFPUStG3bv3s2uEBaZOnUqnjx5AgBISUnB4cOH0bBhQ6nH+euvvwAUpglJikAgQFpamsLqYNAcW4o8yc/PR3Z2NnNeEeHv789UCDY2NsaePXtw8OBBWFpasiHzp/B4PGzZsgULFixgth0/fhwbNmyQahx7e3t06NChwrZRK5r+Z2pqKtOxp06ditzcXEyZMoV530Xhznfu3IGBgQFsbGzKNUe5DFsOh4MuXbrg6dOnAIAvX77gzp072LdvX7lEVXSuXLkCQgiePXtWrnGaNWuGUaNGYd68eTJSpnzo6uqCw+HQysiVhDFjxiAnJwfGxsb4999/f1l6XxZoampWqBxbUbE6Pz8/pucepfKhp6eH1atXIycnh7XCbGxBCMHo0aNx/Phx8Hg8ZGVlFbshlwYLCwtoaWlJlcPq7e0NQgiMjIzKPK800BxbijzJyMiAhoYG8xnLzc3F3bt34eHhgSZNmrCsTjp27NgBUhixikmTJkn9HX3w4AE8PDwqbP2XmTNnQigU4smTJ0zrJFkhqk9w7NgxrFq1Cjwej2m19vjxY3Tr1q3clePLfdfTvXt3ZkW0X79++Pfff5kGyRT5oqOjg3///ReLFi1iW4rcEFVGrmw3ZpUZLS0thIWFQUNDA+/evZP7fBXNsNXX10fNmjUrZJ89inSYmJgAAKysrCpVP/D58+fj/PnzAICYmJhyF7BJSUkBn8+Hn5+fxMfMmDEDAGBtbV2uuSWBEILc3Fxq2FLkRkZGhtji0MWLF5lCSpWtSGHv3r0BFN6rVFS8vLzQvXt3NGjQAAkJCTIb9+rVqzh79izGjx+P9u3bY9u2bWjQoAEA4P379+jVq1e555CJYevp6YnMzEzweDyMGjWK3lBRZIq+vn6FXRmjlIyhoSFGjRqFmJgYuc+loaGB/Pz8ChPubmBgQBeCKACA2bNno2XLlkhLS8Po0aPZliN3vL29oauriz179gAoNEhFxn15EN243717V6L9s7Oz4eXlhalTpyqk3Ul+fj4IIdSwpciNoq1+wsLCMGHCBJiamiI1NRUODg4sq1MsokioU6dOoaCggGU18sHT05P5PTQ0VGbj6urqYsyYMTh37hxev34NV1dXAMCPHz8QFBSE7t27l3uOchu2derUgaWlJV6+fFluMRRKSejr69Mb9UqIubk53r59C29vb7nOUzS0qiLg4uKCjIyMSuWho5SOu7s7AODSpUsyDytTNvr374/s7GzMmDED379/h6GhoUzG7dGjB9TU1CQe7++//wYAhS3y5+bmgsvlVticPwr7pKenQ19fH0KhkGmLc+rUqUrRdvK/DB8+HAAwbdo01KhRg2lxVJEYNGgQ5s2bh169esHc3Fzm41+6dAmbN29mFiGvX78Oc3PzcvWvFSGTBKwePXow4cgUiqyhhm3lRLRyJzrxyQsulwt1dfUKUUDq/PnzzEprefNUKBUDbW1t7Ny5EwBw4cIFltXIh3nz5qFevXqIiorC9OnTcfDgQdSsWVNm42dmZkIgEEhs2EZHR8PKygqzZs2SmQagsCBVUFBQsUUrURgy/c5TZIlAIMDnz58REBCAxMRETJ48Gfr6+njz5g06deoER0dHtiWywoABA/Dt2zdYW1sjMTERTZo0QWRkJNuyZIqFhQUiIiLw8OFDZnFUlgwePBhLlixBs2bNAABPnz6VSRgyICPDtmieLYUia/T19ZGVlVVhQz4oJdO1a1c4OzsjOjpa7nNVhDxbQgj+/PNPAEBkZCQtHEVhmDlzJoDC3NOKyO3btxEZGYlly5Zh8eLFMh8/OTkZACQqMpOUlISzZ8+iWbNmMv0OFhQUoFWrVmjUqBGzUCGC5tdSZM3Dhw/RqlUr2NraokOHDiCEwMPDAwMHDsSmTZvKXfxU1bGyskJISAjatWsHAKhVqxYWL15coQqdzp07F6tXr0b//v3lPteHDx+Uz7D18/PDjx8/ZDEchSKGpqYmNDQ0aJ5tJcTc3Fxhhi2fz5f7PPIkKioKiYmJqFu3rlK2WqCwh6amJubMmQMAuHbtGstqZE9iYiIKCgqwbt061KlTR6ZjE0KYqp2SGLbHjx8HAJnnHX769Ak+Pj4AUMxgzs3NrdCFbCjyIzc3F1FRUcxj/PjxaN26NXr37g0fHx906NABN2/ehJqaGj5+/Ih///0Xy5Yto2Hv/8/Lly9x6NAhAMC2bdukKjCnKC5evAhTU1O0a9cOSUlJzPYRI0agS5cupd77dOvWDevWrWNyq+VFUFAQvn37hm7duslkPJkYttWqVUPz5s3x+PFjWQxHoYjB4XBoOHIlpWbNmgopIKXqHls+n4/69esDAPbu3cuyGooyImoLN2vWrApTKE2EyGvy4cMHmY+9Y8cOPH/+HCYmJkzYXGkkJiZi6dKl0NHRwcKFC8s8Z2JiIg4cOICTJ08iPz8fANCwYUMsWLAAs2bNgrOzs9j+1GNLKQvfv39H1apVYWVlxTzOnDmD2NhYzJw5E1++fIG7uzssLCxgYmKCRo0asS1Z6eDxeJg+fToOHz4MADAzM2NZUXEOHDiA+Ph4eHp6olq1avDw8AAhBJcuXcKLFy9w5MgRVvOEXVxcYGdnh2rVqslkPJnFyfTq1QuPHj2S1XAUihjUsK2c1KxZE6mpqXIP71F1w/b169fIzc2FpaUl04qAQilKvXr10KpVK/z48aPCFTtZvXo1gMIbOFmSn5+PT58+gcPh4OvXr780HkXRJUeOHCnXvGfPnsXs2bMxadIkBAQEACjsS7xjxw7s37+/WIGV3NxcaGholGtOSuWBEAJ/f39YWloiKysLEyZMgJubG9zc3PDo0SOEhYXhwIEDsLGxAQCkpaWVqw90ZUAUReHm5saykuJs3LhR7O+OHTuCEAIfHx+sW7cOf/75J7Zu3cpaGPXLly/Rt29fmY0nM8O2Z8+eePjwIQghshqSQmHQ19dHWloa2zIoCkZUAEbe4ciqbtjOnj0bQGFeFI/HY1kNRVkRGVxTp05lWYls6dChA5o1a4anT5/K9B6kRYsWuHDhAnr27AldXd1f7n/jxg0A//Mgl5Wii7iSeDFoKDJFUu7fv4+GDRuiSZMmAICTJ0/i5MmT6N27N3r37o0ePXoU+yylp6dXyurH0tC5c2cA8i92WRYcHBwwbNgwsW2NGzeGnp4eBg0ahNGjR8PDwwNVqlRBcHCwQrUJBAKZ5tcCMjRsO3TogNTUVAQGBspqSAqFwcDAAGlpaXThpJKhKMNWS0tLpQ1b0Y0IXVWn/IwWLVqgdu3aePv2LeMJrCjk5uYiJiYGISEhMhmPEIKAgAD06NGDCTP81f7r1q0DANSoUaNcc8+bNw/Xrl3Ds2fPYGFh8cv9+Xw+DUWmlMrZs2fh7OyMadOmoW/fvvjy5Qu6dOkCT09PTJgw4afHCoVCZGRkUMP2F4i82/b29iwrKZmzZ8+K/R0UFIS6deuiUaNGOHfuHLOAVr16dYXqevr0KbKzs5le4bJAZoatpqYmHBwc8ODBA1kNSaEw6OnpQSAQICcnh20pFAUiMmy/f/8u13lUtXhUYmIi/vzzT3z69AkAmOIyFEpJcLlcJlzXzs6uQi0Uigq4/PXXXzIZLzMzEwAwceJEiQpSiYrGnDt3Djo6OuWa28jICIMGDUKXLl0k2p96bCml8ePHD4wbNw7Xr1/H0aNHoauri6SkJDx79gxt27b95fEZGRngcDjl/kxXdETn0nPnzuH58+fsiikBDQ0NBAYGFisEtWvXLgCAp6cnhEKhRAXyZMnNmzfRqVMnmS7MybQfhJOTE+7evSvLISkUAICamhr09PRoOHIlIygoCIBiDFtV9Nju3buXCX06efIkunbtyrIiirLTt29fjBw5EgAqVF2MDh06gMfjycxYT0lJAQAYGxtLtP/cuXMBAA0aNJDJ/JJCCKHFoyilIso/F3H9+nWJP9PA/8KQaY/kn6OmpsbkiXbt2hX9+/fHiRMnWFYlTqNGjRAfH48RI0Yw20SfBQ6Hw8r/2N3dHQMGDJDpmDJNxnJycsL8+fORlpZGwxYoMkeUZ1veMC+K6iDq19ipUye5zqOlpYW8vDwIhUKl6/+am5uLhw8fIi8vT2w7n8/Hhg0bAAB5eXlQV1dnQx5FBZk3bx4uXLiAq1evyjS3iU3U1dXRrl07md17iHrXin7+iqSkJEyZMkXhoYgFBQUQCoXUsKWUiIeHBwAgPDwcNWrUkNqzTwtHSc7du3fx8uVLrFu3Drdv34ZAIMCkSZPYliWGlpYWli9fjosXLwIo/HxMnDiRFS0xMTHw9/eHk5OTTMeVqWFbp04dNGjQAA8fPsSQIUNkOTSFAkNDQyQkJLAtg6JALly4AKD8xVh+heimMDc3F9ra2nKdS1rc3NwwcODAUp9fv349NWopUuHl5QUAqFWrFstKZIePjw9evXqFpk2bymQ8kQGwe/duMQ9HSbx8+RL+/v4YPHiwTOaWhpycHKipqdGicZQS6devHwICAqCvr1+mcPXU1FTaF10KOnfujPv378PIyEjmvaxlhZ2dHX7//Xfcvn37ly3M5Mn58+dhbW1drMp7eZH5mbBfv364c+cONWwpMsfQ0BAhISEghNCwmEqCpaUloqKi8P37d7nehHO5XGhqaiInJ0cpDNuPHz8iMjISwcHBWLp0KQAgICAA5ubmYvvxeDxUqVKFDYkUFSYzMxOamppYsWIF21JkxvXr1wFAZmFtDRs2RLdu3STKLTxz5gwAyLRlhaTw+XxoaWnRayKlGJGRkdiyZQtq1KiBqlWrSn08IQSpqakyWyyqLAQFBSE7OxtLlizBokWLlC4KDABu3bqFjIyMYjm3iuThw4c/XbQvK3IxbAcNGgSBQAA1NTVZD0+pxBgYGCA3Nxd8Pl8pjA+K/Pn9999x8OBB+Pj4yN27pKWlpRQFpDw9PYt5qC9duoRGjRrRm1eKTMjNzYWRkVGF+jylpqYCgExX/3Nycn7prfr27RtOnjyJvn37slIRlV4PKSUhEAgwaNAgAChzrmdGRgYA0MVTKWnYsCHze1hYGFMxWdlg06jNzc2Fl5cX1q5dK/OxZb6M8Ntvv0EoFOL169eyHppSyeHxeNDX12eKelAqPqK80qIXCnmhra3NqmGbn58POzs7xqgdOXIkOnfujBkzZmDYsGEVygihsItQKERcXBwT6q/q5OfnY+/evQCAV69eyWzcmJiYX/Z1vH//PgD8MlxZXog8thRKUfz8/PDhwwf06dMHjo6OZRojNTUVBgYGSulxVGY0NDSwbds2AED9+vURExPDsiLl49q1a+BwOPjtt99kPrbMP608Hg/Ozs64fPmyrIemUGBoaMiszFMqPrVr10bVqlVRv359uc/Ftsd2wIABCAgIAIfDwYsXL3D+/Hm8ePECBw8eZE0TpWIybdo0AMDXr19ZViIbRCHA+vr6Ms1zjYmJgaenZ6nXnNzcXCxduhRVq1bF6NGjZTavNFDDllISHz58AAAsW7aszGOkpqbC0NBQRooqF6NHj0bPnj0BAFZWViyrUT4ePHiAIUOGyCWyVy7LMMOGDcPVq1dRUFAgj+EplRgjIyOJq1RSVJ86deogKSkJHz9+lPtcWlparPRJzs7Ohrm5OeP54fP56Ny5s8J1UCoPosryK1euVMk2V4QQPHr0COvXrweHw8Hjx49hYGCApKQkmVZwPXLkCABg8ODBxdoIpaSkYMOGDUhLS2O1snROTg41bCnFEEU5nTt3rsxjJCcnK7yvaUXBzMwMDx8+BFAYFj516lRwOBy8f/+eZWXsU1BQADc3N7lFucjFsHVwcGC8DhSKLKlatSpSUlIgFArZlkJRAM2bNwcAjB07Vu5z6ejoKNywTUtLw+TJkxEbG4uOHTsiOjoaGhoaCtVAqZxMmTIFAFTOsH3//j1atGiBXr16Yc2aNQCAPXv2ICoqSuaVgZ2dnQEAT548wW+//YawsDB4e3tj1KhRMDY2xsaNG6GlpYX9+/fLdF5pyMnJkajAFaVy0aRJEwCAi4tLmY7Pz89HWlpamYpOUf6HKNT22LFjANjNa1UWnj9/Di6XK7cFfLkYtmpqahgyZAgNR6bInCpVqoDH49Fw5EqCaNU5ICBA7nNpa2sr3LB9+PAhLl68CFNTUxw+fLhY1WMKRV507NgRAFTK2/fo0SPY29vDx8cHTk5OiIqKQnZ2NubOnSuXG0Z9fX3Exsaia9euePfuHaytrdGiRQtcuHAB3bt3x8qVK5GUlARjY2OZzy0p2dnZtHgUhSE9PR3nzp1j+jmnpqYiOjpa6nFSUlKgo6NDP1vl5PLly2K9tRs0aMCiGuXg4sWLcgtDBuRQFVnE8OHD0b9/f+zfv596ICgyg8PhwNjYmPWbCYpiEBVMUkSon8iwVWQ7qQMHDgAovGFv3LixQuakUIDCkHcOh6NSPZDHjx8PoLC1zx9//KGQOc3MzPD06VPcu3ePMRCaNGkil6In0lJQUID8/HzqsaUw7NixA+vXrxfbpqurK/U4SUlJ1FsrA6ysrDB9+nRs2bKFyXuuzGRmZuLq1atwc3OT2xxyM2zbtWsHPT093L17V2EXIErloGrVqkhKSmJbBkUBcDgctGrVSiEN4rW1tUEIUWj7DEtLS7Rs2ZIJG6NQFAWfzwchBPHx8TA1NWVbjkSIqouWtcpreWCjR+2vyM7OhpqamkotTlDky+PHj8X+btq0aZkKQCUlJcHCwkJGqiovhBDcuHEDEydORMuWLdmWwzrHjh2DgYGBXBcG5VbDm8vlYvLkyTh69Ki8pqBUUqpWrYrExESaZ1tJqFWrFj5//iz3ebhcLrS0tJCdnS33uUSYm5vT9lUUVhAVkNq5cyfLSiRHVM2Ztr4qJCcnB9ra2vT9oDD8+eefzO8HDhwoU0svgUCAlJQU6rGVAQEBAfjy5QvTU7iyc+HCBUybNk2uLaTk2pxqwoQJePLkCSIiIuQ5DaWSYWhoCA6HQ/NsKwF8Ph/Xr1/H27dvFTKfrq4usrKyFDIXANSsWRMxMTHFKq5SKPJmyJAhsLCwUKkelQ0aNICOjg40NTXZlqIUZGVllSnMlFJxGTJkCBPR4O3tXaYUl6SkJGhqaqJKlSqyllfpuHr1KvT19dGjRw+2pbDO+/fv4e3tjYkTJ8p1Hrle0WrWrIm+ffvixIkT8pyGUsngcDgwMTFBQkIC21IockaUnz9q1CiFzKerq6tQj23NmjWRm5tLQ+sprJCdnY3NmzcjPz+fbSm/JCMjAwsWLKB9NYtADVtKSVy7dg0AcPLkyTIdn5CQABMTExoJUE4IIThx4gQcHR3pYhyAvXv3ok+fPnIvkin3pdpp06bhxIkTtKctRaaYmJggPj6ebRkUOcPn8wFAYRcFHR0dhXpsRbnD379/V9icFIqI1q1bA4BKtOYLDAwEUNhTllJIdnY2LRxFKYaoRkRZc2Tj4+NRvXp1WUqqlMTHxyM6Ohp3795lWwrrZGVl4e7du5g1a5bc55K7YdurVy+oq6vjzp078p6KUomoXr06UlJSVMLTQCk7oiqCivKiKjoUWWTYRkVFKWxOCkXEP//8AwCYN2+e0qd2BAUFAQD++usvlpUoD9RjSykJQggMDAzQtWtXqY/l8/lIT09HtWrV5KCsciHKUR4xYgTLStjn6NGj0NbWRs+ePeU+l9wNWzU1NUyfPh27d++W91SUSoSOjg50dHSQmJjIthSKHBF5bBXlpVG0YZuRkQEAiIyMVNicFIqIli1bom/fvggMDISDgwPbckpFKBQyrX5MTEzYFaMkEEKQnZ1NDVtKMTIzM5GWloazZ89KfWxCQgIMDAxo6KwMCAkJAQC8fv2aZSXsc+rUKcycOVNuvWuLopCqEdOnT8f79+/h5eWliOkolQQzMzPExcWxLYMiR54+fQoACguLqlKlCvLy8pCXlyf3udLS0phm7XXr1pX7fBRKSZw9exYdO3aEr68v2rZtq3RRMAUFBejfvz8AYMuWLfSG+//JycmBUCikhi2lGHp6egAKF4SkjXaKi4uDmZmZPGRVOkT3LRMmTGBZCbu4uroiLCwMM2bMUMh8CjFsjYyMMHnyZGzbtk0R01EqCWZmZvjx4wetKFuBadiwIQAorM+ruro6NDU1kZmZKdd5CgoKmCI4Q4cOZaUvJ4UCFIbLHTt2DPXr18e7d+/w6NEjtiUxEELQoUMH3L17F8bGxpg+fTrbkpSGzMxM6OjoqFRVa4ri6NChAwAgNjZW4mMEAgF+/PhBDVsZkJ6eDkdHR6ipqWHMmDFsy2GVnTt3YvLkyTAyMlLIfAo7I86fPx83b95EeHi4oqakVHCMjY0hFAppH9AKTNOmTQEA/v7+CpuzSpUqcjdsAwICABT2Er106ZJc56JQfkXDhg2ZSqpXrlxhWU0h2dnZsLW1xbt372BmZobY2Fjo6+uzLUtpyMzMpO1YKKXy+++/A/hfbrokJCUlQV1dHQYGBvKSVWk4ceIEvLy8sHjx4kpdiMvT0xOenp5YsGCBwuZUmGFbq1YtODs7q1QzeIpyw+VyYWpqSsORKzC2trbg8Xjw9vZW2JzyNmzz8vLQvHlzAMDx48dpSwWKUmBnZ4cmTZrgzJkzCm15VRonTpxAUFAQbG1t8fXrV6b1F6UQathSfoampiY0NDSkyp2PjY2FmZkZvSaVk4KCAhw4cABDhw7Fpk2b2JbDKv/88w8GDRqEWrVqKWxOnsJmQmE1w44dO2LlypVMtTAKpTxUr14dwcHBsLGxYVsKRQ5wuVw0b94c/v7+Csv909bWlmvF7cTERGhra6NZs2bo2bOn0uU0UmSPUCiEUChU+v9106ZNERoaivDwcCb/mw2SkpKwZMkSGBgY4NOnT+BwOEr/3ima9PR01KhRg74vlBJxcXGBmpoaNDU1JfqMEEIQGxuLpk2b0s9UORAKhWjZsiViYmJw5MiRSv1ehoeH48GDB/D09FTovByi4ARFR0dH1KxZkwmToFAoFAqFQqFQKBRKxeD06dPIzMxUeN0GhRu2Xl5e6NKlC4KCgmiCOkUmfPz4Ebq6uqx6GCjyISMjAxYWFnBwcMCtW7cUMmdOTg6ePXuG3r17y6U0fZcuXfDp0yd4enqiUaNGMh+fonz4+/uDx+MxxdCUleTkZNSpUwcAEBMTw0rF3YCAALRv3x5Vq1ZFcHAw1NXVFa5B2cnLy8Pjx4/Ro0cPGqJNKZG+fftCR0cHLi4uEu0fGBiIgoICpq4FpWwMGTIEcXFxePnyZaUO6Q4ODoa9vT1evXqF1q1bK3RuhYYiA4C9vT169uyJHTt20N62FJlgaWmJwMBANG7cuFKfSCoixsbGsLS0hLW1tcJucHk8HtTU1JCbmyvzIhoBAQFMTzs7Ozta0bSSwOVyweVyld5IMzU1xahRo3D8+HHcunULY8eOVej89+/fR9++fQEA586dg46OjkLnVxXS09OhpaVFW/1QSiQzMxOPHz+GpqamROccQgji4uLQokULpT9HKTNXrlzBzZs3cfLkyUq/4LRmzRr06NFD4UYtoMDiUUVZv349jh49iu/fv7MxPaWCUb16dfD5fKSnp7MthSIHWrdujffv3ytsPg6HA319fWRkZMh0XIFAwLQtWrZsGTVqKUrJ6tWrAQDjxo1DaGiowuZ99OgRY9Tevn0bXbp0UdjcqkZ6ejrTq5RC+S+iBaHc3FyJ9k9KSoJQKES1atVkqkMoFDJ94f/7KCgokOlcbPPx40cMGzYMRkZGGDFiBNtyWMXX1xd37tzBxo0bWZmflTurpk2bol+/fqy9aErFgsfjwczMDNHR0WxLocgBe3t7eHt7K7QIg56enkwXSr59+wYejwdCCMaOHYu///5bZmNTKLLE0tISJ06cAFC46q4I9uzZg169egEAnj17hn79+ilkXlUlIyODtj6ilErRRVOhUPjL/aOjo2Fubi6zxdbs7GycPHkSZmZm0NTULPGhrq6OBQsWgM/ny2RONomKisK4ceNgamqK8PBwaGlpsS2JVVauXInff/+dtbB2hefYiggMDETLli0RGBiIunXrsiGBUoGIi4uDr68vevbsScORKxivX79Ghw4dcPfuXcajI2/CwsKQkJCA3377rdxj8fl8aGtrAwBGjhyJnTt3wtTUtNzjUlQHHx8f8Hg8NG7cmG0pElFQUMCEJMr7FuHSpUuMh+PTp09MKyxK6bi7u8PS0lKhLTQoqgMhBA0aNEDHjh1x8uTJn+4rFArx4MED2NvbS+2xjY+PR2JiIvO3l5cXjh49Cj8/P2RkZEBDQwOzZs1CixYtxI4LDAzE5s2bARRGSJmZmWH58uVwdnZGjRo1pNKgDDg6OsLNzQ3Hjh3D5MmT2ZbDKm/fvkXnzp3h7e3NWg0R1gxbAJg0aRIyMjKUpiE8RXURnZxbt24NExMTtuVQZEhOTg4TWpWRkaGQ3o2JiYn4+PEj40UqDwsWLMCuXbvQu3dvuLm5yUAdRdVQNcMWANauXYtjx47JNRImKSmJuZn++vUrateuLbe5KgqEENy7dw8dOnSAoaEh23IoSsj79+9hb2+PBw8e/PIaFhsbCz8/P6mcAt++fcOePXuwa9euYs+pq6tj3Lhx+O233zBp0qRSx0hMTMTatWuRnp6Oc+fOMdv9/f1V5jxJCMHy5cuxefNmnDt3DqNHj2ZbEut07twZ9erVw6lTp1jTwGqS199//4379+/Dw8ODTRmUCgCXy4WFhQWioqLYlkKRMdra2mjZsiWAwuJLikBfXx85OTnIy8sr91g/fvwAANy9e7fcY1EoimDKlClYt26d3MJdCwoKMGjQIMao3bZtGzVqJSQnJwcCgYDm2FJK5fz58zA1NUW3bt1+uW9UVBQsLS1/adTm5ubi9u3bsLW1Re3atbFr1y7Y2dnh8uXL8PDwYB7R0dE4duzYT41aAKhWrRr279+Ps2fP4suXL4yn8+PHj5K/UJbIzMzE9evXUatWLWzevBn29vYYNmwY27JY59KlS/jw4QM2bdrEqg5WDdsaNWpgyZIlmD9/vkR5ABTKz7C0tERMTEyFK0pAATp06AAATPEleaOhoQFtbW2kpaWVe6wLFy4AkCzXiUJRBp49ewYA2Lt3r8zHFgqF6NChA27cuAEOh4PLly9j0aJFMp+nopKWloYqVarIpRUZRfUpKCjApUuXMHz4cPB4P298kpeXhx8/fsDS0vKn+0VFRaFRo0bo378/Pn/+jLFjx+L169fw8/PD0KFD0b59e+ZRlog5Gxsb1KxZEwDw/PnzEvc5ffo0unTpgg0bNkg9viwRCASYPXs2nJ2dERUVhbVr1+Lt27eVvpp0QUEBVq9ejWXLlrEeTs56Wc4FCxYgNjYWFy9eZFsKRcUxMDCArq4uYmJi2JZCkTHt27cHULhSqigMDAzKXUBKVGF20KBBlf7CR1Ed6tevD6DQOyhLbt++DXNzc7x79w7m5ubIy8vD0KFDZTpHRSc9PV3mbcgoqk9KSgq2bt2KoUOHIi4uDmPGjPnlMd+/f4ehoeFP03vi4+NhZWWFr1+/YvXq1UhLS8OZM2fQrl07WcqHvb09AODkyZPw8fERe+7mzZuYMGECXrx4gdu3b8t0XmkZO3Yszpw5g0WLFiEjIwNr1qyhdV0AbN68GZmZmVi4cCHbUhTfx/a/6Ojo4J9//sHSpUvxxx9/0L51lDLD4XBgaWmJyMhIWFlZsS2HIkNEIcgfPnyAo6OjQuY0MDAol8f29u3bzOry1q1bZSWLQpE7mzdvxv3793Hu3Dn079//p/sGBgYiJiYGDRs2RFBQEACgRYsWSE1NRXh4OBYsWID09HRwuVxEREQAALp37447d+780qNEKU5aWhqMjIzYlkFRMvbv34/Vq1fDxMQEjo6OTPpOaXh6eiIhIQE8Hg+PHz8ucZ/4+HiMHz8eQGEUhzxbcDk5OWH69Ok4fPgwMjIyQAjBmzdvsGvXLri4uDD7/fXXX3LT8CtcXV1x4cIFTJs2DX///Tc0NTVZ06JMJCcnY8+ePdi9ezdTKJNViBIgEAiIvb09Wbt2LdtSKCoOn88nt27dIhkZGWxLocgQHR0dAoAkJiYqbM6YmBjy5MkT5u9v376RUaNGkZEjR5K4uLhfHi/SXHQMSuXEx8eH+Pv7sy1DKlq1akUAkD179pC8vDxmu0AgIGlpaSQsLIwMGzaMAPjlw87OjqxYsYKsXr2aREZGsviqVJ8HDx6Q+Ph4tmVQlIwqVaoQAGLf1dK4f/8+qVevHrl48SLR0tL65ff33LlzCngFhKxYsYIAIC4uLuTSpUvFdAwdOpQUFBQoREtR8vPzyfjx4wkAUqdOHcLn8xWuQR5kZ2eTzMzMco8zYcIE0rJlSyIQCGSgqvwoxXIpl8vF/v370bVrV4wePRr16tVjWxJFRdHU1ESNGjUQEREBOzs7tuVQZISWlhays7NRtWpVhc1paGiIjIwMFBQUgMfjITAwEOfPnwdQmDe7efNm2NnZwcnJqdixZ8+eRXZ2Npo2bSpRAQ8KRdkYPnw4Pnz4gHnz5mHPnj24e/cu7ty5gzVr1iA7O5vZr1WrVjAzMwOfz0fLli3B5XLh5eUFDofD9HM8fPgwLCws2HopFYbc3Fzk5OTQasiUYojSdDQ0NJCWllas8FtGRgZOnjwJPz8/nDhxAgsXLkTNmjXx+fPnn45rYGCgsAgBURu8KVOmICUlBU2aNMHkyZMxb948AMCVK1fQt29fjBs3TiF6RFy8eBGnT5/GyJEjcezYsQrhqX327Blzb/LmzZsytzb09vbGxYsX8fLlS5n1QS4vSmHYAkCbNm0wduxYzJ07F3fu3KEx65QyU6tWLbx//x6NGjWiBTYqCE5OTggMDFTonFpaWtDU1ER6ejqMjY3Rpk0bseeXLl0KAKhbty7i4+Ohr6+Pzp07IyQkBB8+fAAA7Nu3T6GaKRRZsWjRIowaNQr9+/dnzqdAYfpQ7969MWnSJJiYmMg1PJEiTmpqKnR1dWm+PqUYP378QLNmzRAXFwdzc3Pcvn0bHA4HDRo0wPPnzzF+/Hjk5eVBX18fdnZ2cHBwQJMmTZRqkcTf3x9AYb5w27ZtMW/ePKxcuVJsH0U7LL5//45Fixbh999/Zxa2KwKPHj1ifv/27VuZDFtCCJYtW4bx48czOdLKAKt9bP9LSkoKGjRogCNHjuCPP/5gWw5FRSGE4MmTJ2jYsCH1ElQQmjRpAn9/f6Snpyu0zYWnpyeqV6+OunXrAgCio6NhZ2eH1NRUAIC1tTVCQ0NLPPbp06fo2rWroqRSlBhfX1+oqampTH/GooSFheH48eMQCoXo3bs3jUBgkeDgYGRkZKB169ZsS6EoIVlZWT8tBHX+/HmMHDkSERERiIiIULpFKVFxqBYtWiAxMRF//vmn2PPdu3cvNR9YHiQkJMDGxgZpaWn4+PEjWrRoobC55Y2bm5tYvRI/Pz+pFw2uX7+O6dOnIzg4WKny/pXGYwsARkZG2LZtG+bNm4eePXv+9AtKoZQGh8NB7dq18e3bN2rYVgA+ffrErORqaGgodG4DAwPGiAWAmjVr4sePH3jy5An69u2LqlWrwtPTE6mpqbC0tGT6KNeuXZtGC1AqBPXq1cM///zDtgwKaOEoys/R1dVFRkYGfvz4AUIIpk6dipycHEyaNAmDBg2CsbExCCGIiIhQyr7RDg4OcHBwQH5+PmbPng1DQ0Po6OggJSWFqdAeEBCgkAXCr1+/okGDBiCEwMfHB02bNpX7nIpk7ty5AABHR0fcv38frVu3Bp/Pl/j4xMREzJ07F9u3b1e6c5JSeWyBQm+bg4MD2rVrhy1btrAth6Ki5Obm4uHDh3BwcCiWa0JRLUJDQ2FjY4M9e/YwJ2NFERcXh4CAAHTv3l1su2hlXE9Pr9wtgSgVH1X22FKUhwcPHqBVq1aoVq0a21IoKkpycjLevHmDXr16KWVIe2pqqpihxOPxcPHiRQwZMoTZJhQK5Zqu+OHDB3Tu3BkcDgcvX778ZYVpVUT0/qWlpcHAwABcLhcCgUDi40eMGIFv377Bw8ND6VJHlSPTtwgcDgcHDx7Evn374O3tzbYcioqiqakJCwsLfP36lW0plHLy4sULAJDqpCsrDA0NkZmZifz8fLHturq6qF27NrKysuDn5wehUKhwbRQKpfKQk5MDPp+vVDmRFNXj69evsLKyUkqjFvhfnq2IdevWYfDgwSjqgxPVsJAHhBDMnz8fWlpaePbsWYU0agEwEWUiZ8H+/fslPtbNzQ03btzA0aNHlc6oBZTQsAUKk8MXLVqEiRMnFruhpFAkpU6dOoiKikJeXh7bUijlQHTi/G/xJkWgpaUFbW1tpKSkFHvuzz//hFAoRNOmTYsVuKBQKBRZkpKSAn19fdr7l1Jm+Hw+YmJiUKdOHballErHjh3x48cPREVFITo6GsuWLWOe+/333wEA8gw0vX//Pl69eoVz584pVUEkWTNq1CgAwJkzZwAUVreXhPz8fCxYsACLFy9W2s4jSmnYAsCKFSuQl5eHbdu2sS2FoqIYGhrCwMAAkZGRbEuhlIPg4GAAYK3xt5GRkVierYh58+YxK8dubm4KVkWhUCoTKSkp1FtLKRcRERGoVq2a0tevqV69OiwsLGBubi7mERTV2LC1tZXLvP/++y+cnJzg4OAgVlipIjJw4ECxv9u2bYs1a9b88ritW7dCTU1NqRfzldaw1dTUxMmTJ/H3338jICCAbTkUFaVu3br4+vWrXFf4KPIjNDQUW7duBQDWcqWNjIxK9NgCYApKfPr0SZGSKBRKJeO/uYcUijQIhUJEREQwFf5VjfDwcFy7dg3btm2Drq6uzMdPTU3Fn3/+iTZt2uDixYtKGWIrSw4fPlxsW40aNX56TEBAADZu3IiTJ08qvJCnNCitYQsUhh7Onj0bEydOZCW/jqL61KhRA4QQxMbGsi2FUgYSEhIAAK1bt2aatysaIyMjJCcnl7g40qNHDwDA8uXLFS2LQqFUEoRCIVJSUqhhSykz379/B4/HQ/Xq1dmWUibOnTsHAHj37l25xxIKheDz+cwjNDQUPXv2RE5ODm7cuPFLA0/VKSgowMOHDwFArPhlz549ARR69ufOnYtBgwbh7NmzAIC8vDxMmDABc+bMUfoQbaU2bIHCxPHU1FTs2rWLbSkUFYTL5aJevXoICQmhXlsVxN7eHgYGBujXr59C+9cWxdDQEAUFBcjKyhLb/vz5c6aw1apVq9iQRqFQKgHp6engcDi0wj+lTBBCmO4CquqJHDt2LADg6tWryMzMLPM4L1++RO3ataGtrc08bGxs8P79exw6dAjm5uaykqy0JCYmAgDat28PTU1N5jVbW1tj6tSpqFOnDvbt24cbN27g2rVrAIAFCxYgOTkZa9euZUu2xCh9FQJtbW2cPHkSvXr1Qu/evdGkSRO2JVFUDCsrKwQHByMpKYm2SVAxeDweevTogQcPHkiU/yEP1NTUYGhoiOTkZCY3iRDCtB+4f/8+tLS0WNFGoVAqPsnJyTA2NlZZo4TCLj9+/EBeXh4sLCzYllJmioa+6unp4dixYzAxMUGDBg3QsGFDAEBYWBhTVZnL5aJ79+7Q0dEBUGjMzZw5E1evXoWuri62bt0q5pl1cHCApaWlAl8RO7x58waOjo4wMDDAlStXoKGhgYiICOb9vXr1KqpXr474+HiMHz8ee/bswbNnz3DixAk8fvyYtVon0qB0fWxLY+XKlbh58ybevXunEm8sRbkIDAxEeno6fvvtN7alUKTk+PHjmDJlCjZv3owlS5awosHb2xvJycmoXr06Nm/ejGfPniEmJgZAYU9b0cWTQikJ2seWUh7ev38PPT09NGjQgG0pFBXE3d0d1atXR/369dmWUi5SU1PRvXt3fPz4UWz71KlTYWhoyNTjEFGtWjU8fvwY69atw507d5Cfn48pU6Zg9+7dlfKanZmZiWbNmgEAzp8/X+x+ODc3Fzt37sS6devQunVrvHjxAnl5ebC3t8fAgQPx999/syFbalTGsM3Pz0enTp1gb2+Pffv2sS2HomLw+Xw8evQIDg4ONJxLxUhNTUWTJk2QmpqKpKQkuRct2LlzJwIDA8W8I76+vhgzZgzmzJnDbBs+fDi2b9+OmjVrylUPRfWhhi2lPDx48AAtW7aEiYkJ21IoKkZycjJev36N3r17K23vWmlJSUmBQCDApUuXxK7JvXr1woEDB6CpqQkrKyuxY8aOHYs///wTLVq0ULRc1uHz+di8eTNcXV0REhICHx8fWFtbM8/n5uaCz+ejZ8+e8PLyQufOnXH27FnUqlULs2fPxocPH/Dy5UuV+fyojGELFIYZtGjRAhcvXoSTkxPbcigqhre3NwQCgcT9uijKw7t379C2bVvY2trKvUq6gYEB0tPT0bhxY6b6IofDwdKlS2Fqagoul4smTZpUyhVfStmghi2lrGRnZ+Px48fo27cv7WFLkZq3b99CV1dXaXuOlpf4+Hh8/foVVapUETu/HjhwAIsWLUL//v2xd+9e1opPsk14eDhatGiB9PR0tGjRAsuWLWPSqLKysrBmzRrs378fubm54HK5uHTpEgYPHgwOh4M7d+5g5MiR8Pb2Vqlq2kpfPKoo9erVw/79+zFhwgTExcWxLYeiYtjY2CAmJqZchQco7CCqwhcYGIgfP37Ida7p06cDKCyW8PbtW7x9+xaenp7Q19dHrVq10LZtW2rUUigUhZCYmAhDQ0Nq1FKkJjU1FQkJCWLeuYqGp6cnfvvtN/j6+optnzVrFnJycnD58mWYmJjg3r17CAkJYUkleyxevBjp6ekwNDTEx48fGaMWKHyPduzYAUdHR1y4cAFeXl4YMmQIOBwOYmJiMGHCBBw4cECljFpAxQxbABgzZgy6d++O8ePHQygUsi2HokLo6urCwsICwcHBbEuhlIOqVavKdfx58+YBAB49elRs3qSkJLnOTaFQKEVJSkqS+zmPUjEJDg5GrVq1Kmxxw4yMDAwYMAAAftrGaNeuXXByclL5HOOyILqfSU1NxcGDB5nt58+fx5kzZ3D69GncuHEDI0aMQMuWLQEUtgPq378/unfvjtGjR7OiuzyonGHL4XBw6NAhhISEYNOmTWzLoagY9evXp15bFUTUh9jAwEDunovs7GwAKFZBu1q1akyZfAqFQlEEiYmJtJo/RWrS0tKQkJAAGxsbtqXIDU9PTwCFbWu6d+9e6n6LFi0CABgbGytEF1tERkYiISFBbFunTp0wdepUAIW5thkZGVi0aBHGjh2LUaNGMW2UijJ37lwkJCTgyJEjKlmJXeUMW6Cwr+S1a9ewefNmpskwhSIJIq/tly9f2JZCkQLRybqkk3B5KCgoQE5ODvLz85lt9erVg7m5ebETerVq1ZCeno68vDyZaqBQKJSSyM7ORk5OToW/IafInorurQWAnj17wsXFBfXq1cPevXuLRXHy+Xzk5OQw78HTp0/ZkCl3wsPD0atXL9SqVQvVq1dHamoq81xUVBRu3ryJHj16oH///qhbty527NgBZ2dnHDp0qNh9zoMHD3D27FncunULBgYGCn4lskElDVsAaN68OQ4ePIgRI0YgIiKCbTkUFaJ+/fqIjo5GRkYG21IoEtK0aVNYWVlBIBDIbEyhUAhzc3Po6OhAQ0MDCxcuRGRkJLZu3YqYmBi4uLiI7a+pqQk9PT3qtaVQKAohMTERBgYGKlONlKIcpKamIj4+vkJ7a4HC78e0adNw7tw5zJs3D2pqatiwYQM2bNiAQYMGQUdHBzo6OuDz+XBzc2Na3VQkcnJyMGDAALx69YrZtm3bNly5cgVz585lqkP37t0bNjY20NDQgKenJ65cuQI9PT2xsSIiIjBy5EgcPHhQpd8rlaqKXBIzZsyAl5cX3N3dK/TKFEW2eHt7Iz8/nylKRFF+/vzzT+zZswe+vr5o0qSJTMY0NjZGSkoKzMzMihWkO3r0KKZMmSK2zdfXF4QQlT7pUxQPrYpMKQsfPnyAtrY2bG1t2ZZCUSHevHkDfX39Cn++cXR0hJubGzw8PNChQwcAgJmZGfO8k5MTTpw4AaBi9puPiIjA9OnT8fLlS7x9+xZTp05lwrMNDQ2RmpoKLpeLevXqISQkBE5OTjh06BAsLS2LjcXn89GxY0e0adNGLBdXFVFZj62I3bt3Q01NDXPnzmVbCkWFaNCgAX78+IGUlBS2pVAk5I8//gBQ6L3lcDiwtrZGaGhoucYcM2YMLC0tERMTg1evXmHHjh3Yt28fUlNTixm1AGBiYlIsh4VCoVBkDSEECQkJtHctRSoSEhKQnJxc4b21AODm5gagMMeWEAJCCGJjY5mHqGfts2fPKpRRm5CQgNmzZ6NOnTp48OABjhw5giZNmuD169f/1959h0V1tA8f/y5FQEAQFaUJggqKYEXF3qKJPbZEY6yx5KexPWo00Rg1RmMv0cQWTXisMcYSe4m9IChFRKQKSEeq1N097x8+7iuxRKUcynyuK1dkd8/Mvcsue+4zM/cwdOhQDA0NadWqFfB0ZlpYWBgLFy7kwIEDL01q1Wo1Y8aMQUdHhzVr1pT00ylyZT6x1dPT48CBA/z5559s27ZN7nCEMsLAwAB7e3vu3btHGZ+0UGH8c//a0NBQfvvtt0K12atXL6Kiovjpp59wcHCgRYsWvP/++69cW1K9enWysrI0BaYEQRCKQ0ZGBkqlUqyvFd6YJEncu3dPM+W0PFMqla+8T5Ik5s6dy+TJk5k4cSKdOnUqucCKWXp6Om3btmXjxo0MGzaM2NhYPv30Ux49ekSbNm3Ys2cP27dvZ/fu3cyaNYvvvvuO1NRUvvnmm1fOap0/fz6nTp3iwIED6OnplfAzKnplPrEFsLGxYf/+/UydOpVLly7JHY5QRtSrV09TOVAo/Tp27PjCbR4eHoVqs0OHDlStWpVJkyZhaWlJx44dadq0KdnZ2S99vK6uLlWrVhXvGUEQilViYiLVqlVDW1tb7lCEMiI2Npbs7Owyt+/ou/jpp58AOH78eIHb09PT6devH8uWLWPYsGEsX75cjvCKxeXLl2nWrBnx8fH4+Piwa9cuqlWrxubNm2nRogWBgYFs2bKFjz76CDMzM5YvX87XX3+NkZHRK9vcu3cvq1ev5o8//sDa2roEn03xKReJLUDnzp1ZvXo1AwcOJDw8XO5whDJAV1eX+vXri1HbMsLZ2RlbW1vNzwqF4rUl/t+Evr7+CxWyMzMzuXjx4iuPEdORBUEobmIasvA21Go19+7dw8nJqdi3xCsNni0//OCDDzS3JSQk8Pnnn3P06FG+++47du3a9UKBpLIoOzubRYsW0b17d9RqNYcOHaJx48akpKTQpUsXJk6cSK1atbhw4cJLl1C9SlhYGJMmTWLNmjXlalS73CS2ABMmTGDo0KH06dOH9PR0ucMRyoA6deqQl5dHVFSU3KEIb+Dhw4eaf/fo0YODBw8WulLy83tEGhgY0LZt29deuTQ3NycxMVFcDBEEoVioVCqSkpIwNzeXOxShjIiIiEChUGiq4FYUSqUSSZJYtmwZNWvWZPfu3WzevJmvv/5a7tAKzcvLi0mTJmFhYcGCBQvo1KkTXl5etG/fnm+++YaaNWty48YNPDw88Pb2pkmTJm/cdnp6On369GH48OFMnDix+J6EDMpVYguwevVqrKysGDZs2GtPeJ8tNBcqNm1tbRo2bEhgYOBr12wIpcPzVaxPnjxJSkoKQUFBRdb+zZs3uXLlCo0aNXrlY0xNTZEkqcBecYIgCEXl8ePH6OrqlovRJqH45efnExQUhLOzM1pa5e60/rWGDBmCq6src+fOZciQIdy8efOtRi1LG0mSePDgAb1798bNzQ0PDw9atmzJxYsXOXHiBGZmZsyZM4fFixfz/vvvc+fOHYYPH/5Wv/f8/Hw++ugjbGxsWLVqVTE+G3mUu0+Ajo4O+/btIyQkhDlz5rzyce+99x5aWlr4+PiUXHBCqWRlZYWBgUGhK+wKxe/gwYPs37+fAwcO8NVXXwFPf3+F8Swxtra2fqNthLS0tKhRowYJCQmF6lcQBOFlEhISMDc3R6FQyB2KUAYEBQVhYmJCzZo15Q6lxIwYMQKAP//8k3v37rF27Vp27dpFy5Yty+TnRq1Ws2HDBszNzXF0dOTcuXN89dVXREVFcfr0aWrXrs2SJUsYOHAgq1atwtDQkCNHjrz2IvyrDB8+nJCQEPbu3Vsup62Xu8QWno6oHD16lO3bt2v2sPqn7t27A0+nMwoVm0KhoFGjRoSEhLyyaJBQOlhbW+Pg4EB4eDgODg4AHDt2rFBtPpuKPGzYsDc+xtzcnPj4+EL1KwiC8DLx8fEVKkkR3t2TJ08IDw/H2dm5TCZ07+rXX38lKSkJDw8PUlNTmTp1aplM0gIDA+nTp49m21IHBwe2bdtGVFQU3333Hfv27aN27drUqVOHefPmceHCBQBOnz79Tv3NmzePkydPcvz4cUxNTYvuiZQiZe9d8Ibq1avHwYMH6dWrF7Vr1+a9994rcP/s2bNxcHB4bbUwoeIwMzOjVq1aBAYG0qxZM7nDEV5j3bp1/Pbbb5oteX755Ze3Skr/qVq1agDcunXrjY8xNzfH19eXvLy8cr+tgiAIJSc7O5vMzExROEp4IwEBAdjY2Lxyi7ryrFq1agwfPlzuMN5JaGgoX331Ffv370dXV5cZM2bwwQcf0K1bN839zZs3JzIykiZNmjB79mwGDRpErVq13rnP7du3s2rVKk6cOFGu9zkulyO2z3Tq1InNmzczaNAg/P39X7h/4MCBYsRW0GjYsCExMTGkpKTIHYrwGn369AEgLS0NgHPnzr1zW48fP2br1q3A003c35SBgQHGxsZiOrIgCEUqPj6eqlWroqurK3coQimXlJREYmIiTk5OcocivKHIyEhGjhxJ3bp12b9/P9OmTSMhIYFVq1ZpktqMjAz69euHWq3m6NGj3Llzh8mTJxcqqT1z5gxTp05ly5Yt5aoC8suU2xHbZ4YPH054eDg9e/bk5s2bWFpayh2SUEpVrlwZBwcH/P39ad++fYWa1lOW9O7dmypVqmgqn7/rCLunpyetWrXS/Ny6deu3Or5mzZrEx8eXm73fBEGQn5iGLLwJtVqNv78/9evXR19fX+5whDdw4sQJPvvsM2JiYpg4cSKLFy8usCsDPC2K+dFHHwFw48YNGjRoUOh+AwICGDZsGF9++SWffvppodsr7cr1iO0z8+bNo1u3bvTq1YuMjAy5wxFKsXr16pGdnU10dLTcoQivoK+vT926dQFYsGABCxcufOs2JEnSJLW1a9dm9erVLF68+K3aqFmzJgkJCaK6uiAIRUKlUpGYmCgSW+FfPXz4EJVKhb29vdyhCP8iJSWFtm3b0rNnT+DpqO1PP/1UIKlVq9Xs3LmTwYMH4+TkxPnz54skqY2Pj6dv37707NmTefPmFbq9skAhVZCzsry8PHr27Imenh6HDx8uk4vMhZIRHR3N3bt36dq1q5gOVgrFxsZqZl7k5OSgp6f31m0kJSVRo0YNdHR0yM/Pf6c41Go1J0+epHXr1piZmb1TG0LF4Ofnh7a2Ns7OznKHIpRiCQkJ3Llzh+7du4sZQ8Ir5eXlcfbsWZo1a1ao6alC8Tt8+DD9+/fH0NCQFStWMHHixAKf7WfTjffv38/u3btp2bIlZ8+eLZKtvnJycujQoQOGhoacPn26wpzPVogRW4BKlSpx4MABHj58yOeffy5GWYRXsrKywsjIiODgYLlDEV4iMDAQeLpG/l2SWni68TnAlClT3jkOLS0tUR1ZEIQi82waskhqhde5f/8+VatWFSP7ZUD//v2BpwUntbS0uH37tua+2NhYRo0aRf/+/dm7dy8rV67kxo0bRZLUqlQqBgwYQHp6OocOHaowSS1UoMQWnm4DdPLkSU6dOsWCBQvkDkcopRQKBS4uLoSFhZGZmSl3OMJz4uLi6Nq1K/D0y/1dtW3bFm1tbVavXl2o4lPP1tkKgiAUhiRJYn2t8K/S0tJ4+PAhjRo1EhdAyoBly5YBEB4ezsSJE2nRogVbtmzh//7v/7CxscHDw4Ply5eTl5fHf/7znyL7nY4ZMwYfHx/Onj1b4SpmV6jEFp7ug3nq1Ck2btzIpk2b5A5HKKVMTEyoXbs2fn5+YnS/FDEwMND8OyAgAGNjY9q1a4dKpXqrdoyNjfn5558B6NatG3379uXHH3/k8OHDb9VOzZo1SU9PF/sfC4JQKJmZmWRnZ4ttfoRXkiQJX19fHBwcimRUTyh+48ePp2XLlgVu+/zzz9m2bRvDhg0jMjKSWbNmoa2tXWR9zpo1i8OHD3Pu3LkKWdyywiW2AA0aNOCvv/5i9uzZHDhwQO5whFKqQYMGpKenExMTI3cowv+YmJgwdOhQAKZOnUr79u25evUqZ8+efeu2PvvsM+Lj43Fzc+PUqVN88cUX9O/fn/Dw8Dduo1KlSpiZmREXF/fW/QuCIDwTFxenWfcvCC8TGRlJTk4O9evXlzsU4Q3NmDEDT09PAK5du4YkSahUKvLy8vjtt9+wsbEp0v5WrlzJpk2bOHHiRJEUnyqLKmRiC+Du7s7evXsZOXLkW+1fKVQcurq6ODs7c/fu3XcuMCQUvd27dyNJEmvXruXy5csApKamvlNb5ubmeHp6kpubS0ZGBvr6+vz+++9v1UatWrVEYisIQqHExcWJQkDCK+Xl5XHv3j1cXFzExY8yZMKECSxevJgrV67g7u5erH399ttvzJ8/n/379xd7X6VZhU1s4el+mD/++CP9+/fHx8dH7nCEUsja2hpDQ0OCgoLkDkX4hwYNGmjWQA8ZMqTQ7RkZGZGTk8PWrVvf6rhatWqRlJQkLn4IgvBOcnNzSUlJEetrhVe6d+8eVatWFRc/ypjWrVszb9482rZtW6z9HD9+nM8//5yNGzfSq1evYu2rtKvQiS3A6NGj+frrr+nevTv37t2TOxyhlFEoFLi6uhIREUFaWprc4Qj/c/nyZU3xqOvXrxdJwYXPPvsMgJCQkLc6zsjIiMqVK5OYmFjoGARBqHji4+MxMTEpUENAEJ55/Pgx0dHRuLi4iIJRwgsuXrzIsGHD+OabbxgzZozc4ciuwie2ALNnz2bixIl069btrU9qhfKvSpUq2Nvb4+Pjg1qtljscATSb0i9ZsoTWrVsXur1ffvmF7du3A083vn9bFhYWxMbGFjoOQRAqntjYWCwsLIqsvUePHnH//n1R+LAcUKlU+Pj4UL9+fQwNDeUORyhlbty4wYABA/jiiy/48ssv5Q6nVBCJ7f8sXLiQTz75hC5duhARESF3OEIp4+joiFKpJCwsTO5QBJ7uNfysknFSUlKh2goLC2Ps2LHA0yuftWvXfus2LCwsiIuLe+vqzIIgVGz5+fkkJCQUWWIbHR2NtbU1DRo04P/+7/+4fPkyUVFRRdK2UPKCg4PR0tKibt26cocilDLe3t707duX0aNHs2jRIrnDKTVEYvs/CoWC5cuX069fP7p27cqjR4/kDkkoRbS1tWnSpAn379/nyZMncocjAJMmTSI2NpY+ffoUqp1nhZ8+//xzOnTo8E5tmJqaoqurW+gkWxCEiiUhIQFDQ8Mi277Fw8ND8++ff/6ZDh060K1btyJpWyhZ6enphISE0KRJE7S0xOm68P/5+/vTu3dvBg8ezIoVK8QU9eeIT8pzFAoF69ato0uXLnTt2pX4+Hi5QxJKkWrVqmFjY4OPj4+Y4lUKdO/enfXr13Pjxg1mz579TlOIAc1U5sJcsFAoFFhYWIitoQRBeCsxMTFFOg35119/BZ5uRfbMV199VWTtCyVDkiR8fHyoU6cOpqamcocjlCJBQUF88MEH9OzZkw0bNoik9h8UkjhDf4FKpWLkyJH4+vpy7tw5zM3N5Q5JKCXy8/M5f/48jo6O2NnZyR1OhadUKmnQoIFmbfyFCxfo2LHjGx+vVqv57LPP2LFjBzo6OoWqbJycnIynpyc9evQQV9eFAvz8/NDW1sbZ2VnuUIRSRKVSceLECdq3b4+JiUmRtLlnzx5u376NlpYWenp6zJw5kypVqhRJ20LJCQ0NJTw8nM6dO6OtrS13OEIpERwcTPfu3XF3d8fDw0O8N15CnH29hLa2Njt37sTFxYWOHTuKacmChq6uLk2bNiUgIEBMSS4FdHR0mDJliubfy5cvf+Njc3Jy0NbWZseOHcDTtWmFYWZmhpaWlpiOLAjCG4mPj0dfX79IE8+hQ4eyYsUKfvjhBxYtWiSS2jIoIyODwMBAmjZtKhKXUkSSJCIjI2UrIhoQEECXLl1o1aoVv/32m3hvvIJIbF9BR0cHDw8P2rRpQ4cOHURBKUHD3Nwca2trbt++LaYklwLP72F7/PhxIiMj3+i4Z3vgwtNKyIXdQ1KhUGBlZVXoBFkQhIrhWaEnMZVQeEatVuPt7U2dOnWoVq2a3OEI/6NSqahbty62trZs27atxPv39vbmvffe47333mPXrl3o6OiUeAxlhUhsX0NbW5utW7fSs2dPOnToQHBwsNwhCaWEs7Mzubm5YnuoUqBmzZoEBgbSt29f4Okas0uXLv3rcdWrV6d37940b978nSohv4yVlRWxsbGoVCqSk5PZtWsXly9fLpK2BUEoP/Lz84mPj8fKykruUIRSJCgoCEmScHJykjsU4Tl+fn6aXTEGDx5con1fvXqV999/nw8//JBt27aJkdp/IRLbf6GlpcX69ev5+OOP6dChAwEBAXKHJJQCOjo6NGvWjKCgINLS0uQOp8JzcnLCwMAAgG+++YaOHTu+UTGp8ePH4+3tzbVr14okjo0bNxIVFcX7779P9erVGT58OB06dKBGjRriwpggCBpxcXEYGRkVWTVkoex7/PgxoaGhNGvWTCQvpUzTpk2JjIwkLy+PqlWrlli/58+fp0+fPowaNYoff/xR1O94A+IVegMKhYIffviBiRMn0rFjR+7cuSN3SEIpYGZmhoODA7dv3xb7l5YCP/zwA9OnT9f8fOjQoX89pmfPnlhbW9O2bVtOnz5dqP7j4uKYP38+ly9fpnfv3kyZMoVPPvkEgKSkJI4cOVKo9gVBKD+io6PFaK2goVQquX37No6OjkVWSEwoWjY2Nujq6pZYf8ePH+fDDz9k6tSpLF++XCxZeEMisX1DCoWCBQsWMHv2bDp37syFCxfkDkkoBRwdHdHS0hIj+aWAlZUVn332meZnY2Nj7t69+9pjtLW16dGjBwA9evTQTDV6F+Hh4QBcunQJCwsLtm/fzq5duwDQ19dn1KhR79y2IAjlR05ODomJiVhbW8sdilBK+Pn5YWBgQN26deUORSgF9u3bx5AhQ/j6669ZsGCBSGrfgkhs39Ls2bNZtWoVvXr14vfff5c7HEFmWlpatGjRgqioKLGHaSnQsGFDTaI6duxYXFxc/nXk9vkKh2vXrn3nvlu1asWsWbNwdXVFrVbTpk0bAHx9fcnOzhaFQARBAODRo0dUq1aNypUryx2KUApERUURHx9Ps2bNRAIj8PvvvzNmzBjWrl3L7Nmz5Q6nzBGJ7TsYO3Ys+/btY/To0WzYsEHucASZGRoa0qRJE3x8fMjKypI7nArv2LFjLF68WPPzhx9+yIIFC175+OnTp2umBG7YsIHvv//+nfrV0tJi+fLlHDt2jJYtW/L111+Tn5+Pq6vrO7UnCEL5FBUVVeKjtVFRUcTGxpZon8K/y8zMxNfXl2bNmmnqRAgV14YNGxgzZgz79+8vMANNeHMisX1HvXv35uzZs3z77bd89dVXYtuXCs7KygorKyu8vLxk2+NMeEpbW5tu3boVuG3RokUolcqXPt7FxYXo6GjS09Np164dX3/9NR4eHoWKwcrKirS0NHJzcwvVjiAI5UtaWhqZmZlYWlqWWJ9ZWVnUrl0bFxeXEutT+HcqlQovLy/s7OwKvd2cULZJksTcuXNZuHAhZ86coVevXnKHVGaJxLYQWrduzdWrV9m9ezejR48mPz9f7pAEGTVq1AilUsn9+/flDqXCa926NRkZGZw/f15z279tAWRsbMyePXuws7NjxIgRLFmy5J0vWOnp6VGzZk2ioqLe6XhBEMqn6OhoLCwsSrQITaVKlZg5cybffvttifUp/LuAgAAUCgUNGzaUOxRBRtnZ2YwcOZI9e/Zw9epVWrduLXdIZZpIbAvJycmJa9eucefOHfr160dGRobcIQky0dbWxs3NjfDwcOLi4uQOp8IzMjKic+fObNiwAYVCQdeuXfnyyy/x9/d/5THW1tbcvHkTFxcX5s2bR7169di3bx85OTlv3b+NjQ1RUVFlejbH+fPnqVmzJl27dn2jvYEFQXg1tVpNVFQUNjY2Jdqvjo4OK1asYPLkySXar/Bq0dHRREdH06JFC7GFSwUWHx9Phw4d8PHx4dq1azg6OsodUpknPk1FwNLSkkuXLpGXl0f79u3FKE0FZmxsTOPGjbl9+zZPnjyROxwBmDx5MqGhodjb27N8+XJcXV2ZPXs227Zte+k2Tebm5ly9epXx48cTGhrKxx9/jIGBAVu3bn2rPYtr1aqFSqUiMTGxKJ9OiQoODiYhIYHz58/TsWNHDAwMNNWfBUF4O/Hx8WhpaVGjRg25QxFklJ6ejo+PD82aNcPQ0FDucASZREVF0aZNGwwNDbl8+XKJLk8oz0RiW0RMTEw4ceIEbm5utGrVCm9vb7lDEmRibW2NjY0Nt27dEvvblhJ16tQhJCSEgIAAGjZsyKpVqxg3bhy1atWib9++3L59u8DjjY2N2bx5M5mZmWzfvh2A8ePHY2pqikKhYMSIETg5OaGjo8PJkydf2qeWlhY2NjZERkYW+/MrLhMmTGDz5s2aSp05OTnY29u/0wi2IFR0Dx8+xNbWVlS+rcDy8/O5desW9vb21KpVS+5wBJl4eXnRsmVLunTpwpkzZ8TexUVIJLZFSFdXly1btjBjxgw6der0r9uMCOWXs7MzWlpa+Pn5yR2K8D/P1jIFBASQm5vLkiVLaNu2LSdOnKB58+YoFArc3NxIT08Hnq57SU5OJjs7+4W2Dh8+TFBQECqViqNHj76yz9q1axMbG0teXl6xPa/iNn78eNRqNZs2bdLclpKSImNEglD2ZGdnk5CQUOLTkIXSQ5IkfHx80NfXp0GDBnKHI8jkzz//pFOnTsycOZMtW7aU6Hr7ikAhleUFYKXYn3/+yYgRI1iwYAH/+c9/xBXaCig7O5sLFy7QsGFDbG1t5Q5HeIVjx47Rr1+/AqPr7733HmfOnCnwuHHjxlG7dm309fWZNGkSOTk55OfnU61aNbS1tV/Z/rMpRg4ODsX2HEpKamoq2traGBsbyx1KmeLn54e2tjbOzs5yhyLI5MGDByQnJ+Pu7i53KIJMQkNDCQkJoVOnTujp6ckdjlDCJEli5cqVLFq0CA8PD/r37y93SOWSjtwBlFcffvghFy5coE+fPgQFBbFp0yZxVaaCMTAwoEWLFty8eRNjY2PMzMzkDkl4iV69emm2Ajp48CD79+9HrVbTvXt3/v77b/Lz8zEyMiIuLo4tW7ZojnvTPQdtbW0JCQnB3t6+zF/gMjU1lTsEQShzJEni4cOH4sJGBZaYmEhgYCBt2rQRSW0FlJ2dzZAhQ7h9+zYXL16kWbNmcodUbompyMWoefPmeHp6cuvWLXr06EFSUpLcIQklrEaNGjRo0ABPT8+XTmkVSpcBAwawd+9e9u/fz6lTpzh9+jTbt2/HysrqnacQWlpakpOTw+PHj4s4WkEQyoLExERUKpVYU1lBPXnyBC8vL1xcXMQF7gooIiKC1q1bEx4ezs2bN0VSW8xEYlvMrK2tuXLlCmZmZri5uYk1lxWQvb095ubmeHp6imJSZUynTp0YM2YM9+/fZ+PGje/Uho6ODjY2NkRERBRtcIIglAnh4eHUrl1bbOtSASmVSjw9PbGyshJLkiogX19fOnTogL29PTdu3MDa2lrukMo98Ve2BBgZGbF//37GjBlD27Zt+eOPP+QOSShBCoWCxo0bA0//yIll7RWPra0tMTExZbqIlCAIby87O5v4+Hjs7OzkDkUoYZIkcefOHXR1dWnUqJHc4Qgl7MCBA7Rr147x48dz8OBBjIyM5A6pQhCJbQnR0tJi/vz5/Pe//2X06NF88803qNVqucMSSoi2tjYtW7YkISGBsLAwucMRSliVKlWoWrVqmd76RxCEtxcZGYm5uTmVK1eWOxShhAUHB5OSkoKbm5sYra9A1Go18+fPZ8yYMfz3v/9l3rx5Zb6+RlkiPmklrF+/fly/fp3du3fz4YcfarYWEco/AwMDWrZsSWBgIPHx8XKHI5QwOzs7IiIixIi9IFQQarWaiIgIMVpbAcXExPDgwQNatmwpikVVIHFxcfTp04e9e/dy/fp1+vXrJ3dIFY5IbGXg7OysKSbk7u5OcHCw3CEJJcTMzIzGjRvj5eUlLmpUMJaWliiVShISEuQORRCEEhAXF4eWlhY1a9aUOxShBKWmpnL79m2aN28uKslXINeuXaNVq1bk5ubi6ekpqqDLRCS2MjEzM+P48eP07NkTNzc3Dh06JHdIQgmxsbHB3t6emzdvkpubK3c4QgnR0tLCzs6O8PBwuUMRBKEEhIWFYWdnJ6YhViDZ2dncvHkTR0dHLCws5A5HKCG7du2ie/fuDBo0iJMnT1K1alW5Q6qwRGIrIx0dHVasWMG2bdsYMWIEc+bM0eynKZRvTk5OmJqaikrJFYytrS2JiYk8efJE7lAEQShG6enppKSkiEq4FYhSqeTmzZuYm5tTt25ducMRSoBSqWTOnDn83//9Hzt27GDVqlXo6OjIHVaFJhLbUmDQoEF4enpy5MgRevToIaYqVgAKhYKmTZuiVqvx8fER6y4rCAMDA2rVqiVGbQWhnAsPD8fa2ppKlSrJHYpQAiRJ4vbt2+jo6NC4cWMxSl8BJCQk0L17d44cOcLNmzcZPHiw3CEJiMS21HBycsLT05Pq1avTrFkzbty4IXdIQjHT0dGhVatWJCcnExQUJHc4Qgmxt7cnMjJSzM4QhHIqLy+PqKgo6tSpI3coQgkJCAggPT1dVECuIK5fv06zZs0wNzfH09MTJycnuUMS/keMl5ciRkZG7N27l3Xr1tG1a1eWL1/OhAkTxGheOaatrU2LFi24fv06lSpVwsbGRu6QhGJmbGyMgYEBERERYppiBaFWq1EoFOTn58sdilACwsLCqFKlCoaGhuJ3XgFEREQQGRlJmzZt0NLSEr/zckylUjFv3jw2bdrE0qVLmTJlihidL2UUksiaSqUrV64wePBgmjVrxvDhw8UeeIIgCIIgCIIgg6ysLDZt2kRQUBAHDx6kXbt2cockvIRIbEux+Ph4hg8fTkREBLt27aJp06ZyhyQUo0ePHnH37l3c3d2pUqWK3OEIxUilUvH333/j6uqKubl5ifUbHR3N+PHjGT9+PP379y+xfiu6gIAAtLW1xXS1CiA2Npb79+/TqVMnMZJTzqWmpnLjxg2aNGlCrVq15A5HKEZ37txh2LBh2Nrasnv3brGFVykmpiKXYjVr1uTkyZMsXbqUzp07s3LlSiZOnCi+LMspOzs78vLy8PLyon379mKUvhzT1dXF3t6ehw8fYmVl9drH3rx5k7/++othw4bRoEGDQvWbn5/PxYsXadu2rSh0UYK0tLTQ0tJCV1dX7lCEYhYREYGDg4MoGlXOZWZm4uXlRcOGDcUSonJMkiR++uknZs2axVdffcXcuXPFGupSTozYlhEXL15k6NChtGvXjq1bt2JiYiJ3SEIxkCQJPz8/kpKSaN++vTg5Ksdyc3M5c+YM7du3f+3nuXPnzly4cAFXV1d8fX1LMEKhqPj5+aGtrY2zs7PcoQjF6PHjx1y/fp3u3buLixjlWE5ODpcvX8bCwoJGjRrJHY5QTNLS0vjss8+4du0ae/bsoUOHDnKHJLwBcdmhjOjYsSM+Pj6kpaXRvHlzvL295Q5JKAYKhQJXV1eMjY25ceOGqJxbjunp6WFjY0NoaKjmtujoaK5du0ZYWJjmtpUrVzJ48GB27dolR5iCILyhkJAQ7OzsRFJbjuXn53Pjxg3MzMzEhapy7NixY7i6upKRkYGPj49IassQkdiWIebm5pw4cYKxY8fSoUMH1q1bJyoml0MKhYLmzZujpaWFl5cXarVa7pCEYuLg4MCjR4/Izs6mcePG2NjY0LZtWxwcHDS/9+bNm7N//34xMiAIpVhmZibx8fHY29vLHYpQTFQqFZ6enujp6dG0aVOxLKwcUqlUTJ8+nUGDBjFx4kSOHz9OjRo15A5LeAsisS1jtLS0mDt3LqdPn2b16tX06tWLhIQEucMSipi2tjatWrUiOzsbHx8fcQGjHIqPj2fIkCEkJCQwd+5c/Pz8NPetWLFCrOMRhDIkNDQUS0tLDAwM5A5FKAaSJHH79m2USqXYq7acio+Pp3v37vz++++cPXtWrKcto8RvrIxq27Ytvr6+GBsb4+rqysmTJ+UOSShiurq6tG7dmuTkZO7duyeS23IgJyeH7777Dk9PT7Kzszlx4gQrV66kZcuWtG7dmr1795Kbm8vMmTM1x0RFRZGcnCxj1IIgvE5ubi5RUVE4ODjIHYpQDJ7VvkhPT6d169bo6Ii6q+XNyZMncXV1pUaNGty9e5e2bdvKHZLwjkRiW4aZmpqyd+9eli1bxuDBg5kxYwa5ublyhyUUIQMDA9zd3YmKiiI4OFjucIRCio+PZ/78+SxZsgQ7OzskSeK3337D2NiYnTt38tFHH6Gjo8OdO3fo3bs3I0aMwNbWlurVq6NQKFAoFBw+fFjupyEIwnPCw8MxMzPD1NRU7lCEYhAYGEh8fDzu7u7o6enJHY5QhHJzc5k+fTpDhgxh+fLl7NmzR3yOyzhRFbmcCA4OZujQoSiVSvbs2VPobUGE0iUtLY2rV6/i5OQk1nCVcaGhodSoUaPAXsVxcXH4+PiQnJzM8OHDX3v8zJkzWbFiRXGHKRQhURW5/FIqlZw+fRo3NzexFq8cCg4OJiQkhHbt2mFsbCx3OEIRunTpEl988QWVKlVi9+7d1KtXT+6QhCIgRmzLiXr16nHt2jV69OiBm5sbP//8s5i6Wo6YmJjQunVrAgMDiYyMlDscoRBsbW05deoUEyZMwN/fn4SEBDp16sSDBw/47bffXni8kZERGzduZP/+/SQlJfHDDz/IELUgCC/z8OFDDA0NqV69utyhCEUsIiKCBw8e4O7uLpLackSlUjFnzhx69OjB+++/z9WrV0VSW46IEdty6Ny5c4wcOZLGjRuzbds2LCws5A5JKCKJiYncvHmT5s2bi99rGZOXl6eZxqalpYVarcbU1JTU1FTg6ZZeQ4cO5b///S9XrlwpcGyXLl04d+5cSYcsFBExYls+qVQqzp49i4uLC5aWlnKHIxSh6OhofHx8cHd3p1q1anKHIxSR2NhYBg0aRGhoKLt27aJr165yhyQUMTFiWw517doVf39/TExMcHFx4Y8//pA7JKGI1KhRQ7OPcXx8vNzhCG8hMTFR8+9nW/k8S2otLCy4cuWKZh0twNKlSxkyZAitW7dm0aJFJR6vIAivFx0djY6OjrjI+BJPnjwhMTGRjIwMuUN5a7Gxsfj4+NCyZUuR1JYjBw4cwMXFBVtbWwIDA0VSW06JxLacqlq1Krt372bjxo2MGzeOESNGkJaWJndYQhGwsLCgadOm3Lp1q0CyJJRuVlZWLFmypMBtjo6OwNMTKZVKxcGDBxk0aBBdu3Zlzpw57Nu3j+vXr4sKjYJQyqjVaoKDg6lfv77Yz/Q5AQEB9O7dG2NjY8zNzalSpQo7d+584XFqtbrAHu1JSUlYWVkxbdq0kgv2JeLj4/H29qZ58+aYm5vLGotQNNLS0hgxYgTjx49n48aN7N69m6pVq8odllBMRGJbzn300Uf4+/sTHx+Pq6srFy5ckDskoQhYWVnh6urKzZs3xVYwpVxiYiJt2rThv//9Lz179tTcvnHjRvbu3Vvgsfn5+RgZGdGiRYuSDlMQhLfw6NEjJEnCyspK7lBKjXXr1tGoUSOOHTvGpEmT+M9//gPA6NGjmT9/Pt9++y1Hjx6la9euaGtro62tTbt27TSJR0xMDOvWrSv0euXo6Giio6Pf+riEhARu3bpF06ZNxSh8OXHy5ElcXFyIj4/H39+fjz76SO6QhGIm1thWEJIksWnTJr788kvGjx/PkiVLxEby5UBERAQBAQG4u7tjZmYmdzjCS2zdupXx48fj7OxMQEAAAP379+fPP/8EYMWKFZw4cYK///4bgLVr19K4cWM6duwoRoLKCbHGtnS5evUqa9asIT8/n0ePHnH//n3gaYXj3NxcDAwM6NevH7t3737pZ1CSJM6fP4+DgwN2dnYlHH3p9PjxY2rUqIFarSY8PBw7OztSUlJe+r1kaGhI9+7dNX8DAXR0dDA0NNTMLEtISHijKtPh4eGsWrWK8PBwvLy8yMzMJCsrS3O/SqVCS+vfx3CSkpK4ceMGjRs3xsbG5k2e8iupVCru37+PWq3G2tqaypUr8+DBAzIzM7l9+zZKpRKA69evs2/fPs6cOUOnTp3E/rhFKDU1lXHjxnHs2DGWL1/OpEmTxPdpBSES2womKChIMy15x44duLu7yx2SUEhhYWHcv3+fNm3aiP3XSqHs7GwWLlyoqWbcs2dPDh8+/MJJzO3bt5kxYwbXr1/Hw8ODjh07UrNmTTlCFoqYSGzld+TIEWbNmkVsbKxm3WerVq0wNzdHX1+ftm3bolar+fnnn3nw4AEA1apV45tvvuGLL74ocFIcExODv78/3bp1Q1tbW5bn864yMjIIDw/n1q1bXL16lczMTFJSUoiIiGDKlCl8+OGHWFtbFzgmIiKCzMxMLl26RJ06dahTpw7wdFnM6dOn+e677/Dz80NLS4szZ87QpUsXzbEPHz4Enr6WERERwNMlGLq6uqSkpPDjjz+ir69Pp06dOHv2LF999VWBvuvUqcPEiRMZOHAg9vb2KBQKYmNjiYyM5Ndff+Wnn35CW1ubjh07Ym1tTdOmTQkNDeXHH38EwMzMjKtXr6Kvr//KixCPHz/m+vXrNGrUCCMjIxITE7GwsMDExIS8vDzCwsKAp1NaPT09Wb58uWZEOCMjAyMjIwCysrLYuHEjy5Yt4/Hjx5r2dXV1yc/P1/xsaGgIPF2H/LxevXpx7Ngxpk6dysSJEzE2Ni5TMwKWLVvGuXPnOHDgACYmJrLFce3aNYYOHUr16tXZvXu3ZsmPUEFIQoWTn58v/fDDD1LlypWl//znP1JWVpbcIQmFFBwcLB07dkxKSUmROxRBkqTs7GwJkABpwIABmn8D0pMnT155nEqlkqZMmSJ9+OGH0s6dOyW1Wl2CUQvFxdfXV7p7967cYVQoe/bskczNzaXp06dLZ8+e1Xz+Pv74Y+n777+X4uPjX3lsaGioVLVqVc0xR48e1dynVqul8+fPS6GhoSXxNIrUxo0bC/wtMjU1lbp06SJVr169wO2A9M0330gfffSRZGNj88J9//zP3NxcWrp0aZG8xx89eiRt3rz5lX199NFHkkKh0Pw8fvx4KSEh4YV2PDw8Xnr8vXv3Cvx37tw56Y8//pCmTJki1axZs8Bje/ToIRkaGr7QhpmZmebf7u7uUkREhLRkyRLNe+aDDz6QDh8+LP3www/S9OnTpWXLlkknTpyQbt68KT1+/FgTo1qtlnx9fSVA0tHReaH/559zr169JBsbG+nkyZPS1q1bpeXLl0tnz56V1Gq15OnpKX3++eeax8v1vWFlZSUBUkBAgCz9P3nyRJoxY4ZUuXJl6YcffpDy8/NliUOQlxixrcACAwMZPXo0KSkp7NixgzZt2sgdklAIoaGhBAUF4e7uLgojyOxVU57GjRunGWF4FbVaTdeuXRk1ahROTk60atWquMIUSogYsS1eSqWSq1evcuPGDQYOHEjdunWxtbV96Z7f6enpb7Qn6ZYtW5gwYUKB24YOHcrSpUsJCAigR48epXa0Vq1Wc/jwYR49esSTJ0/w9vbm5s2bREZG0rt3byZNmkTDhg2pXbu25pi8vDwuXLhAjx49gKdTgxs0aICtrS3vv/8+TZo0QVtbG5VKBTydYRIVFUWnTp344IMPim2aZ25uLteuXdOMApuamjJy5EgGDRqEs7Pza7/rcnJyuH37NomJifTv3/+F+xs0aMD8+fPZuXOn5rWxsLDg8OHDXLp0iS5duuDg4EDfvn01/TRq1AgTExPGjBnDjh07CrTXp08fFi1aRJMmTd75+WZkZODr68vDhw8ZPnw4urq6dOjQ4a22e3vT6ddF7YMPPuDkyZPMnDmT6dOnl+gWWFevXmX06NFUq1aNHTt24OTkVGJ9C6WLSGwrOJVKxZo1a1iwYAETJ05k8eLFVK5cWe6whHcUGhrK/fv3xZpbmb3qJO+PP/5gwIAB/3q8s7Mz9erVY9SoUfTr10+sDSrjRGJbPO7cuUNqaioffvjhK6v+W1paMmLECIyNjenWrRstW7Z8o7YjIyPZtWsXkiSxb98+/Pz8UCgUrF27lpMnT3LixAm6detGWFgYbm5ummmlMTExmJub06RJEzp27Ii9vT15eXnUr1+fSpUqARAVFUVycjKNGzcu8s92QEAA7du3JyUlBQB9fX2qV69Oq1at6Nq1K2PHjtXEUZFkZGTg5+en+Tk/P5/09HQMDQ1p27Yt+vr6b9XekydPmDp1KpaWlpibmzNgwIBiTeSioqKYNWsWXbp0YcCAAZw8eZLZs2cTGxsLPN3mceHChbJW0A8PD8fe3h4ADw8Phg8fXux9ZmVlMW/ePDZv3syiRYuYNm1aqb3gJJQMkdgKANy/f58xY8aQlJTEL7/8Qrt27eQOSXhHYWFhBAYGiuRWRjNmzGDNmjUv3L527VqmTp36r8e7uLgQHBzMnj17cHd3p1atWsURplBCRGJbeJmZmaxfv5709HQAtm3b9kJF+DVr1vD7779jbGyMgYEBVlZWTJkyhfr16xe6/+zsbLZu3YqFhQWbNm0iMTERU1NTrl69CoCbmxsWFhYcOXLkjdu8cuVKoRKRnJwcLl26xKlTp/Dz8yMtLY1bt25haWnJ1q1bi3UktSx7Vijq2Z6mZdX48ePZunUrAP7+/jRq1EjWeCIjI+nTpw8jR45kxowZxd7fvn37mDlzJjY2NuzYsUOspRUAkdgKz1GpVKxdu5YFCxbw6aefsnTpUlGMqIx6lty2bt1abDAvA0mSCA0NRVtbm2rVqrFo0SJWrVqlue/fxMXF4ebmxocffsiAAQNEheQyTiS27yYmJobt27dz6dIlzp49CzydDWFvb4+WlhbvvfcekydPxsTEpNinPUr/q4Rsb2+vKZ70b7E/evSIy5cvEx8fj6WlJbt379ZMdYWno3DW1takpqaSnZ39xlvMBAYGMnnyZM6fPw+AlpYWzZs3p379+lSvXp1Zs2aVqaJDJSkhIQFPT88yn9TC0/fP89PJTUxMaNGiBX5+fowePZqLFy/y6aef4uvrS25uLr/99luB43NyctDT0yvpsAstJiaGiRMncvbsWRYtWsT06dPFKK3w/8mztFcozUJDQ6X33ntPsrCwkA4cOCAK2JRRERER0tGjR19bJKUse/LkiTRv3jzJx8dH7lAkSZKkCxcuSFOmTJEWLlwoLVy4ULp161aB+zt37iwBUmRk5Bu1d+rUKalSpUrSoUOHpOjo6OIIWSghFbF4VGpqqtStWzfJwMBAqlKliqawTXp6+muPu3TpkvTxxx+/ULSoQ4cO0t69e2X7Pnr48KF0+vRpSaVSFbqtsWPHFii89PzznDx58iuPy8vLk3r37i0BkrGxsTR58mTp2LFjUl5eXqFjqghiYmKko0ePvvHf4LJArVZL9vb2ry3uVbt2balVq1Yv3O7p6SkplUq5n8IbUyqV0sqVKyUzMzOpS5cuUlhYmNwhCaWQSGyFl1Kr1dJ///tfqXr16lLfvn3L1RdBRRIVFSUdPXpUevTokdyhFLmQkBBNxUi5paSkaE4WnlXGNDExkf7++29JrVZLUVFR0qhRoyRAcnBweKM2ly9fLgHS4MGDpbNnzxbJCbUgj/Kc2CYkJEjr16+XvvrqK8nR0VFq0KBBgYrCDg4O0tKlSyUjIyPNbcbGxtLSpUulnJwc6e7du5qT6/Pnz2se4+TkJH366afStWvXZL+4qlQqpVOnThXZ96BarZYWLlwoffvtt9J3330nLVmyROrSpYvmuZ87d07z2Pz8fGnz5s3S0KFDJSsrK0mhUEgzZ84sl3/Ti1N5/i58mdu3b0tffvmltH379gIXPpRK5SsTYF9fX9k/a6/i6+srubu7S1WrVpV+++23UhunID+R2AqvlZiYKI0cOVIyNjaWNmzYUKau7glPlcer1M+kpKRIOTk5Jd7v48ePpQcPHmhOkvr37685OahUqZL06NEjqVq1ahKgGal99p+jo+Mb9TFkyBAJkHr27CmdOXNGioiIKM6nJBSx/Px8af78+dLMmTOlTZs2Sfv27SvW/g4fPiy5uLhIlpaWmvfavHnzpN27d2v+++OPPzQjpp6enpKHh4f04MGDAluQvKk7d+5Iu3btknR0dDT9aWlpSV988YVUq1YtqXHjxtKyZcs0j09PT5fmz5//wgglII0YMULy8fGRnJ2dJQMDg1I3yyQkJEQ6f/58sZ9Mm5qaal6TXr16FRiJs7Kykvr16ycdOHCgWGMoj8LDw8v17KW3lZqaKh08eFAz+v/P/162fZJc8vLyNFv4fPrpp1JSUpLcIQmlnFhjK7yRc+fOMWHCBKpXr87mzZtp3Lix3CEJb+HZuiJnZ+c3Wh8mvNo/C0ONGzcOSZLYtm2b5raYmBgqVarE5s2b+frrrzW3jxw5kp07d75RP9HR0djY2ABoCuJ069ZNrCUq5SRJIj4+HldXVxITE4Gn75Hc3FyuXLlCdHQ0nTt3Jj09nU8//ZTg4GDq169Pjx49uH79Ol5eXprK9CqVijNnzuDt7Q3AwIEDSU5OJj8/Hx8fH7KysnBxcSlQ7dXFxYX8/Hzu37//yhj19fXJyckpcNvEiRP54osvuHfvHkZGRvTo0YPLly9z/PhxJEni6tWrKBQK9PT0iIyMJDg4WHPsihUrmDlz5hu/Rrdv32bAgAE8fPjwhftWrVpVIoVn3pRSqeTs2bM0adKkWIu45efna6oVKxQK3NzcqFOnDk5OTrRr145u3boVW9/lWUhICEFBQaLexGuoVCrOnTun2eqpf//+/P777+jo6Mga1+nTp5k6dSrZ2dls376drl27yhqPUDaIxFZ4Y9nZ2SxevJi1a9cyduxYFi9eLIpLlSGPHz/mxo0b2Nvb4+joKIoRvaNNmzYxadKkl97Xo0cPjhw5UmA7jb///puZM2dy+/ZtFi1axPz589+4r2XLljF37lwUCgW7du3SFIgRSk5SUhKenp4oFArs7Ow4cOAAAMeOHaNmzZqax6nVav76668Cx2ppaaFUKrlx4wbHjx9n69atKJXKF6r5/lPNmjXR1tYmJiamwO21atUiMzOTzMzMF253cHDgyJEjmkro+fn55OXlaR6Tn5/PoUOH+Omnn7C1tUWpVDJixAiys7MZNmzYG78eAwcORFdXF6VSyYoVK7CwsHjnAjRKpZLg4GD27duHiYkJAwcOLFAMpzS4f/8+iYmJtGvXrtj/ZqalpZGZmYmFhYUs+5CWJ5Ikce/ePSIjI2ndurXY2/0NvOz9ffDgQeDp+V/btm3R0tLCyMioWF/PlJQU5s+fz/bt25k6dSoLFizAwMCg2PoTyheR2ApvLSgoiClTpnDnzh2WLVvGqFGjxJdwGZGens6NGzcwNzfH1dVV/N7eQVZWFlOmTOH333/XbD3yzIYNG5g4cWKRXel+8uQJ3333HcuWLcPFxYWFCxfSs2fPMlnJsqyQJAk/Pz/u3bvHiBEjUCqVLzzG0NAQpVKJtbU1DRo0AJ7OagFo1aoVnTt3xs3Nje7du6Otrf3SqshpaWnk5eWhq6uLr68v2dnZ6Ojo4O7ujqGhIQC+vr6kpaXRrl27Yv2s5uTksG3bNrKysujUqRMnT57UjOqOGDGC2rVrk5GRQZUqVSrUBbHs7GzOnTtHmzZtxNZpZYharebOnTs8fvwYd3d3jIyM5A6pTAgPD8fDw4OdO3cSHh7+r49Xq9VF+vdArVazc+dO5syZQ7NmzVi/fr24kCu8NZHYCu9EkiQOHTrEtGnTsLCwYOPGjTRv3lzusIQ3kJ2dzfXr1zE0NKR58+ayTzcqa86ePct77733yvvbtWvH5cuXi7TP+Ph4atWqxapVq+jYsaP4rBWD/Px8Fi5cyJIlS164b9++fRgYGODl5UXt2rUZO3bsW7Uttvspm+7cuYNKpaJFixZyhyK8ofz8fG7dukVeXh6tW7dGX19f7pDKpCtXrqBUKmnUqBE5OTksXbqU6tWrc+LECW7dugXAjh07GDVqVJH05+XlxeTJk4mLi2Pt2rX069evQl1EE4qOSGyFQsnKymLp0qWsWrWKESNGsGTJErGOpQzIy8vD09MTtVpN69atC0ydlVNqaqpmz0cPDw/s7Oxo2rQpWlpaJCQkIEkS9erVk3VakiRJ7Nq1i4sXL5Kbm4uHh0eB+ytXrsyTJ0+KvN9t27bx7bffsm7dOrp3746xsXGR91GRLV68mG+++QYAJycndu/eTb169YpktEcktmVPWloaly5dokuXLpoRdKF0y8nJ4caNG1SqVAk3Nzd0dXXlDqncUalUL1wMnzZtWoG6E28jOTmZr776Cg8PD2bOnMmcOXM0NQYE4V2IxFYoEiEhIUybNo3r16+zaNEixo8fL75USjmVSoW3tzfp6em0bt26xKdr5ebmcubMGfr06fNWx1lYWDB48GC+//77UnHC2axZM+7cuQPAgAEDyM7OplmzZnTr1o1OnToVaV/Lli0jPDwcOzs75syZI65ov6MDBw7g5eXFhQsX8PPzw8TEhLi4OADmzZvH4sWLi7Q/kdiWLZIkce3aNUxNTcXvrIxIT0/n5s2bmJmZaS6GCkXvwoUL7Ny5k19//VVz2/Hjx/nggw/eqp1nM2R+/PFH2rdvz9q1a3FwcCjqcIUKSCS2QpH666+/mDVrFmq1mmXLltG/f39x8l2KPSuw8fDhQ1q0aIG5uXmJ9X348GH69++v+XnDhg1kZWWhVqsxNDRErVbTvn17AgICiI2NpV69emhra7N9+3ZOnDhBfn4+AJ988gn29vZoa2tjYGCAra0t/v7+pKens3v3btzd3fnkk0+wsbHBxsYGS0vLd5p+HRYWRr169VCr1ZiYmODi4oKzszPp6ekYGRnh6emJr69vgWOmT5/OnDlziux1VSqVmJmZsXHjRjZs2MDhw4exsLAokrbLG6VSyaFDh4iPjycyMpKYmBhycnI0xZ/gabGUevXqYWFhQdOmTZk8eXKxnFyJxLZsefToEf7+/nTt2lVcoC0D4uLi8Pb2xsHBQRRGLCbJycls3LiRBQsWAE8v4jo7OzN69Oi32mnh2TK2ZxdmV65cSe/evYsrbKECEomtUOSUSiXbtm1jwYIF1K9fnxUrVtC6dWu5wxJeIzIyEj8/vxLbDigoKAgPDw8CAwM1VRefFdJ5E1euXOHTTz8lIiICR0dHTRGn2NjYfz3W0NCQ/v37U716dfT09HB2dmbAgAGvHbG+ePEif/zxBxs2bPjX9jt37oxKpeLSpUsF4m3btu0bPLN/J0kSs2bNon79+ty5c4effvqpSNotTzIzM186Vbt+/fo8efKEXr16sWzZshKrlCoS27IjPz+f8+fP07BhQ812W0LpJEkSoaGh3L9/n6ZNm2JlZSV3SOVKfn4+V65c4eDBg+zYsUOzxGbbtm1vXWcA4MaNG8ycOZOQkBAWLlzI2LFjRY0PociJxFYoNhkZGaxYsYJVq1bRq1cvli5dKqaalKDvvvuO+fPn07JlS0xNTenTpw8DBw585QhfcnIynp6eWFlZ0ahRo2KdyvVsGxuAPn36cPToUczNzWnQoAEGBgZ89tln9O/f/633bM3JySEvLw+FQkFmZiZRUVE4OzuTlZVFWFgY4eHhHD16FH9/f9RqNQ8fPtRsnTJ16lQGDx6MtbU1ycnJODo6YmhoyPr165k6deor+xw4cCD169fnwoULPHr0CBsbG65evVrgMU2bNuX27dtv+Sq9WnR0NHv27OH27dssXLhQVI58zvP7/8LTtZLp6elUqlSpRGckPE8ktmVHQEAAKSkptG3bVoz8lWJqtRpfX1/i4+Np1aqV2M6nECRJ4vr160RFRdGyZUsiIiK4fPky69evJzk5merVqzNixAjGjh2Lk5PTW58bhISEMHfuXE6cOMF//vMfZs6cKWpECMVGJLZCsYuJieGbb75h165dTJgwgfnz54sCUyVg6NCh7N2794Xb9fX1cXV1pXnz5prRvoYNG1K7dm2qVq1K9+7dkSSJwMBAtLS0aNWqFY0bN6ZOnTqcP3+eU6dOMX78eOrWrcuhQ4dQqVRvXcxIrVazfft2FAoFo0eP5siRI/z5558FCjF98cUXrFu3rthPLn18fPjxxx/Zvn37C/d17NiRixcvan5esmQJycnJrF69GoDx48fz5ZdfYm9vX+C4x48fk5GRQXh4OHl5eTg6OmJra1tkMS9YsIDdu3ezZMkS2rdvX6GmI0uSRHx8PHfu3CE5OVnzntXV1SUnJ0dTWGzo0KHs3r1b5mifEolt2ZCens6lS5fo0KEDVapUkTsc4RVycnLw8vJCqVTSqlUrscfpOwgODsbDwwM/Pz8CAgIICQl56eMaNmyIj4/PO03Jj4uLY+nSpWzZsoXhw4ezcOFCLC0tCxu6ILyWSGyFEnP37l1mz57N1atXmT59OtOmTcPU1FTusMq8lJQUIiIiuHXrFs7OzpiYmKBSqVCr1Xz11VecPHkSeHpy7efnR0hICFevXiUgIICYmBgAxowZQ3x8PAqFgoyMDLp27YqtrS1r1qzBx8fnjeJo1KgRDRo0wNjYGJVKhUKhwMbGhs6dO9OpU6c3SlBf9piUlJQSeZ8kJyfj7+9PUlIS0dHRxMXFcebMGc1Iq6ur6wtraOXy/fff8/XXXzNu3Dg++eQTOnToUCFGl7Kzs9+4YqZSqXzrEf/iIhLb0k+SJC5fvky1atXE76kUS0pKwsvLixo1atC4cWMxlfUtjB8/nq1bt1KtWjWSk5MBsLS0pHv37vTu3Zvc3FyqVq2KpaUlT548ITIykn79+r31hYOUlBTWrFnD6tWr6dChA8uXL6dRo0bF8ZQE4QUisRVK3MWLF1m4cCHe3t5MmzaNadOmiWlEbyArK4uWLVsSEBDwTse/zUddkiTCwsIIDAzExMSE+Ph44uPjCQkJoWvXrsTFxXH9+nUuXLjA5s2buXfvHlevXiUyMhJJktDW1iYjIwN/f39Nm8+mpDs6Omr6OHv2LOnp6dSuXRsDAwMaNGjAgwcPSEpKokOHDppjv//+e83UZQH8/f1xdXVFX1+f3bt306RJkxJZGy233Nxczb6U3bt3Z8eOHRw7dozdu3cTFhZGdHQ0W7ZsYdSoUaUmqQWR2JYFISEhRERE0Llz51L13hGekiSJkJAQgoKCaNSoEba2thXiYt67kiSJoKAgDhw4QEBAAOfOnSMxMRGAuXPnEhUVhZmZGWvXri2y1zElJYW1a9eydu1amjdvzoIFC+jYsWORtC0Ib0oktoJsLl26xMKFC/Hy8hIJ7kuo1WqmTJlCYmIiAQEBL01obW1tGTp0KE5OTtja2lK5cmXUajVaWlqadTC1a9d+57WFjx8/5tatW5iZmdGkSZO3no6Uk5NDvXr1iImJQa1Wa27/4osvXlqIydHRkTZt2mBkZMSvv/6qKQoFT9dKiumBTwUFBeHk5ARA3759GTlyJJaWlrRq1arcn+x5e3vTokULatasqdmip7QTiW3plpmZyYULF2jdujXVq1eXOxzhH/Ly8rhz5w7p6em4ubmJmV6vcenSJQ4dOsT58+fx9fWlcuXK1KtXj1atWhEYGMjevXuLfDrwsxHadevW0aJFCxYsWFDgwrQglCSR2Aqyu3z5MgsXLuTWrVtMnTqVadOmYWZmJndYRe7Jkyeaoj8LFy4EoFq1amhra6NWq5EkCR0dHU3hGy8vr5e2c/XqVdq0aVNicefm5uLt7U1WVhYtWrR455OKU6dO8f77779w+4ULFzA0NNRcXQ4NDQXQjPo++7k0TS0tDR4/fsymTZvw8PCgR48emJqasnjxYho2bEjz5s1p2LAhvXr1wsXFRe5QCy0yMhJ7e3tUKlWB28vK15dIbEuvZ3vWGhkZ0bhxY7nDEf4hJSUFLy8vjI2NadasGZUqVZI7pFLnyZMn/Pjjj5w5c4Zz5869cH9CQgI1atQo8n4fP37MmjVrWL9+PW5ubixYsID27dsXeT+C8DZEYiuUGleuXGHhwoXcvHmTqVOnMnXq1HJ19bxv374cPXq0wG1z586lcuXKmhHWlJQUHj9+jEql4uTJk8TGxuLn5yd7ciJJEg8ePCA4OJj69etTr169dx4ZTE9PJyoqCnhamKK8jzCWhPj4eK5fv87Dhw85fvw4gYGBmtf42Qlhw4YN6dy5M3369NFM5y0rDhw4wODBgzU/z5s3j0WLFpWZ945IbEuv4OBgIiIi6NSpk9izthRRq9U8ePCAkJAQHB0dqVu3bpn5vJeUmJgY+vbti7e3N/C0zsXdu3dfeFxqaiomJiZF1u/Dhw9ZsWIFv/32G61atWLBggW0a9euyNoXhMIQia1Q6ly9epVFixZx+fJlRo0axfTp06lXr57cYRXK3bt3CySnkZGRZXKPxJSUFLy9vdHT06N58+ZvXMhHKH5JSUncuHFDU9E1NTWVAwcOcPPmTe7fv8+1a9c008Hr16/PoEGDGDp0aKkt6pGRkcGoUaM0+xw/r6xNSxeJbemUmprKlStXaNOmTbmcJVRWZWZmcvv2bZRKJc2bNy/SpKw8yMjIYN68eaxfv15zW0nUoQgODmbNmjXs3LkTd3d3Fi1aVGT7swtCURGJrVBq+fr6smrVKvbv30+vXr2YOXMm7u7ucodVQFRUFIsWLWLGjBlYWlri6+uLmZkZVatWRZIkjIyMMDU1pV+/fhw5cgR4um/rs3+XRUqlkoCAAKKjo3FxccHGxkZcSS8l7t27R3x8PB06dHhh2rZarebKlSv8/fffHD58mDt37gBQp04dOnbsiKWlJb1796ZFixayjVylpaUxf/78l66//uSTT/jggw9o2bJlmbvQJRLb0kepVHLx4kWsra01Be0EeUmSxMOHD7l79y62trY0bNhQLD95TmxsLG5ubjx69Ehz219//UWvXr2Ktd9r166xcuVKjh8/zpAhQ5g5cyaurq7F2qcgvCuR2AqlXnR0NOvWrWPz5s24uLgwa9Ys+vTpI/sX3pMnTzAyMnrtY7S1tbGzs9OsE4Wn5fWf/2Iqq57tJVqtWjVcXV3R09OTO6QKT61Wc/nyZczMzP51+npGRgZbtmzh1KlTREREEBwcrLnvWUXLPn36FHu8M2fOZM2aNS+938PDg+HDhxdrDCVBJLalj4+PD5mZmbRt21ZcmCsFcnJy8PX1JTU1laZNm75zwcPy7Pn3aevWrTl16hSLFi1i1apVmtvr1q1L7969cXd3x8jIiMqVK6Ovr4+BgYHmP319fc1/r7qIqVKpOHLkCCtXruTu3btMmDCBKVOmYG1tXezPUxAKQyS2QpmRlpbG1q1bWbt2rabSn46ODu+//z7W1tbUrFkTW1tbatSooakIXNyWL1/Ol19+qfl58eLFODo6YmRkhEKh4MGDBzx69IjTp0/j4+ODlpYWx48fp0ePHiUSX3HLzc3F19eX5ORkXFxcsLKyEieJMsvMzOTixYs0bdr0rapfPqsMe/nyZTZt2kRmZiYGBga0bduWrKws7O3t0dfXR6FQoKenR506dWjWrBlubm4YGhpq2klLSyM9PR0dHR0sLCxe2d+VK1deKDTyySef0L59e8aNG1din+GSIBLb0iUqKgp/f386deokllPITJIkoqKiuHv3Lubm5ri6uooCUS9Ru3ZtTd2ECRMmMG3aNBo0aFAkbQ8bNgw3Nzf09PSIi4sjJyeHP//8k6ysLKZNm8a4cePEdHChzBCJrVDm5OXlsW/fPhYtWkRkZCT5+fkFqqPq6enRtm1bWrRogaGhIVZWVlSqVAkjIyMsLS3R0dFBV1dXM93p2W06Ojpoa2sX+L+ent5LN4CXJIlOnTpx6dKlF26viGJiYvDz88PU1JTGjRu/9YbuQtGKiYnhzp07dOzY8V9nFbyMWq1mz549HD16lDNnzvD48WNsbW0xNzcnPz+fqKgokpOTNY93c3Pj1q1bL7SjUChwcnLSbONlZmaGoaEhMTExXL58GQArKyuioqLK9QURkdiWHunp6Vy6dAk3Nzdq1qwpdzgVWlZWFj4+PmRkZNC4cWNq1aold0ilTmRkJFOmTOHw4cOvfMyTJ0/Q0tLSnLuEhISgra2Nnp4e2dnZBf7LyckhJyeH2NhYPv/88wLtaGlpUblyZSwsLPjmm28YMmSIuMgglDkisRXKLEmSOH/+PKtXr+bUqVPo6Ojg6OhInz59uHjxIrGxsSQmJhbYC/VtVapUCVNTU7S0tDR7ZtrZ2REREfHCY8taQZuilpeXx927d4mNjcXZ2RlbW9tynayUdnfv3iUxMZH27du/9OJMYaWlpeHt7c2RI0dISkoiKyuL2NhYatWqxciRI0lNTSUwMJCEhAQkSSI9PZ2MjAySkpIICwsjPT2dX3/9lREjRhR5bKWNSGxLh/z8fC5duoSlpWWRjXYJb0+SJMLDw7l37x7W1tY4OzuLitT/cOLECb788kv8/f2Bp+cdU6ZMoXHjxgQGBuLv70/Hjh0ZNGjQO7926enpzJs3j927d5OamkqPHj2YMWMGXbp0Ed/dQpklEluhXIiMjGTjxo389NNPqNVq3NzcWLlyJc2bN0etVpOfn09CQgKpqank5+drfq5evTpZWVnk5+ejUqlQKpUF/h8TE0NOTg5KpZKjR48SERHBhAkTOH/+PDdu3CA3N1dc0fyH+Ph4fH19MTQ0xNXVFWNjY7lDqpDUajVXr17F0NCQpk2bihMVGYnEVn6SJOHl5UVeXh5t2rQRnweZpKen4+vrS05ODk2aNCmW/VXLKpVKxdKlS1m3bh1JSUkoFAratWvH2rVradasWZH14+3tzcyZM7l16xZaWlp8/vnnTJo0idq1axdZH4IgF5HYCuVKTk4O+/btY/ny5QQHB2NlZcWXX37JuIM4YxIAAAzlSURBVHHjZC82VZHk5+cTGBhIZGQkDg4O1K9fX7z+MsjOzubixYvUq1cPBwcHucOpsERiK78HDx4QERFBx44dRaE7GSiVSoKCgggLC6NOnTo4OTkVy0ySsiguLo5p06bx559/kpeXh4GBAZ988gkrV64ssrWtKpWKzZs3s2LFCh49ekT9+vWZPXs2Q4YMKXP7mgvC64jEViiXJEnC09OT1atXc/DgQYyMjHj//fdZunQpdnZ2codXYaSmpuLr60teXh6urq5iTZsMHj9+zLVr12jZsqWoNCoTkdjKKy4uDi8vL9q1a4epqanc4VQ4sbGx+Pv7Y2BggKurqyhE9D+XLl1ixowZeHt7A2Btbc3cuXOZOHFikRXPi4iIYM6cOfj6+hISEsLAgQOZMWMGLVu2LJL2BaG0EYmtUO7Fx8ezY8cONmzYQHJyMra2tsycOZMxY8aIUcQSIEkSERER3Lt3D3Nzcxo1aiSKS5WwyMhI7t69S8eOHQtUMBZKhkhs5ZORkcGlS5do0qQJVlZWcodToWRlZeHv709ycjLOzs7Url27wk8BV6vVrFmzhpUrVxIXF4dCoaBly5asWbMGd3f3IulDpVKxfft2Vq1axcOHD6lWrRqTJ09m7Nix4uKmUO6JxFaoMNRqNX///Tc//vgjR48excjIiG7durFs2TLq1q0rd3jlXk5ODgEBAcTGxlK/fn0cHBzEhYUS5O/vT0JCAh06dBCFWkqYSGzlkZuby+XLl7G0tKRhw4Zyh1NhqFQqQkJCNMuBGjZsWOGnfycnJzNjxgz2799PTk4Oenp6DBkyhNWrV1O9evUi6SM4OJi5c+dy9uxZMjMz6du3L5MnT6ZTp07lavs0QXgdkdgKFVJiYiI7d+5k/fr1JCYmYm1tzfTp05kwYYJY91PMkpOT8ff3Jz8/n0aNGlGrVq0KfxW/JKjVajw9PVGpVLi7u4sTnRIkEtuSp1KpuHbtGnp6eri5uYm/MSVAkiRiY2O5e/cuenp6uLi4YGZmJndYsrp58ybTpk3j5s2bSJJErVq1mDlzJtOnTy+Sv8H5+fls3ryZtWvXEh0djbm5OV988QWjRo0ShbmECkkktkKFJkkSFy9eZOPGjRw6dIjKlSvTsmVLFixYQLt27eQOr9ySJImHDx8SGBiIiYkJjRo1qtBbJZUUpVLJlStXMDExoUmTJuJkv4SIxLZkSZKEt7c3WVlZtG3bVswMKQFpaWncvXuXjIwMGjRoUKGnHavVan7++WeWLl1KdHQ0AE2bNmXVqlV07ty5SPq4cuUKCxcu5M6dO6Snp9OvXz8mT55Mhw4dKuzrLgggEltB0Hj8+DF79uzh559/JjAwkGrVqtG/f3++/fZbLCws5A6vXMrLyyMoKIiIiAhsbW1xdHSs8FPWilt2djaXLl3Czs4OR0dHucOpEERiW7ICAwOJjo6mffv2ouJrMcvJySEoKIjIyEjs7e2pX79+hV3qkJ6ezsyZM9m1axdZWVno6urSv39/1q5di6WlZaHbj42N5dtvv+XQoUMkJyfToEEDJk6cyNChQyv8yLggPCMSW0F4icDAQH755Rd++eUXsrKysLGxYdKkSXz++edi39pikJGRwb1790hKSqJu3bo4ODiIKeHFKD09nStXrtCwYUNRJbwEiMS25ISGhvLgwQPatWsn9tAuRkqlkpCQEEJCQjA3N6dhw4YYGRnJHZYsfHx8mDp1KleuXEGtVlO9enWmTp3K3LlzCz1bIC8vj59++omNGzcSFRVF5cqVGTNmDGPGjKFBgwZF9AwEofwQia0gvIZKpeLs2bNs3bqVI0eOoK+vj4uLCzNmzODDDz8U6xSLWFJSEgEBAWRnZ9OgQQNsbGzEa1xMkpOTuX79Os2aNSuS0QTh1URiWzKioqLw8/OjTZs2VK1aVe5wyiW1Ws3Dhw8JCgrC0NAQZ2fnCjlaqFKp2LJlC8uXLyciIgKARo0asXz5cj744INCta1Wq/nzzz/58ccfCQ0NJS4ujr59+zJ+/Hi6du0qptYLwmuIxFYQ3lBaWhq///47O3bs4MaNGxgbG9OiRQu+/PJLunXrJta1FBFJkoiJiSEwMBCFQoGTkxOWlpbi9S0Gz/b3FHvcFi+R2BY/8V4uXpIk8ejRI+7fvw+As7NzhSv8p1ar2bdvH+vWrcPb2xulUomOjg49e/Zk/fr12NravnPbkiRx5swZli9fjpeXFxkZGbRq1YoxY8YwePBgsfevILwhkdgKwjuIi4tj//79/PLLL/j7+2NiYkK7du2YO3duke1FV9E9Gxl48OABlSpVwtHREQsLiwp1IlUSoqOj8fHxEQlBMRKJbfGKj4/n1q1bYvZBMXh2ofH+/fuoVCrq169P7dq1K8xMGkmSOHjwIGvWrMHT05P8/HzNBdfPPvuMKVOmFGrZzPXr11m6dClXrlwhLS0NV1dXRo8ezZAhQ6hVq1YRPhNBqBhEYisIhRQREcG+ffv45ZdfCA0NxdTUlNatWzNlyhS6detWYU4AiotKpdIkuPr6+jg6Ola4kYLiFhUVha+vL61atRJbRBQDkdgWn4SEBDw9PWnatClWVlZyh1NuPNu65/79++Tn51O/fn1sbW0rzPfZX3/9xcqVK7l+/Tp5eXkoFArq1avHqFGjmDZtGgYGBu/Urlqt5syZM2zYsIGgoCDCw8OpW7cuo0eP5qOPPhI1DwShkERiKwhF6P79+/zxxx/s2bOHe/fuUaVKFRo1asT48eP5+OOPReGpQlCpVERERBAcHIyuri5169bF2tparDcqIpGRkfj5+dG8eXNRBbyIicS2eMTExHD79m2aNGmCtbW13OGUCyqViqioKEJCQlCpVNSrVw9bW9sK8Xf29OnTLF++nKtXr5KTkwOAvb09n376KTNnznzn4lh5eXns2bOHLVu2EBAQQHp6Og0bNuTjjz9m0KBBODk5FeXTEIQKTSS2glBMoqOjOXLkCHv27OHatWtUrlwZOzs7Bg4cyLhx48TowjtSqVRER0cTEhKCUqnE3t4eOzu7CrvFRFF6lii4urpSu3ZtucMpN0RiW/QiIiK4e/cuLVq0EFM2i0BeXh4RERGEhYVRqVIlzYXD8j5Ce/HiRZYtW8bFixfJzs4GwNbWlk8++YTZs2e/89rWR48esXXrVk6dOsXdu3fJzs6mTZs2DB06lL59+4rvf0EoJiKxFYQSkJqayokTJ9i3bx9nz54lPz8fExMTmjRpwvDhwxk8ePA7T22qqCRJIi4ujpCQENLS0rCyssLOzg5TU1MxTbkQEhMT8fT0pE6dOjRo0EC8lkVAJLZFR61Wc+/ePSIjI2nVqhXVqlWTO6QyS5IkUlJSiIiI4NGjR1StWpV69ephbm5erj/3169f5/vvv+fvv//myZMnAFhbW/Pxxx8zZ86cd3pPZWdn8/vvv+Ph4YGvry9paWno6urStWtXPv74Yz744ANMTU2L+JkIgvBPIrEVhBKmUqnw9vbm9OnTHDlyBG9vb/T19alatSqPHj166TE6Ojqa0UmA8PBwJEnS/PxMamoqjx8/xsbGhqioKKpUqUL16tX/NaawsLACPz/f7j/vexUTE5OXnhC86fHPq1mzJoaGhv8aW3Z2NrGxsdSpUwdLS0tMTU3Jy8sjPDwctVr9yv6rVatW4Er862J8m9eiZs2axMfHY2Vlha6uLhEREZiamhbYDuP5Nv75+3teWFgY2traVK1alaSkpNf2+zo1atQgMTHxtY95Fsez9cxGRka0bNmShIQE7t69+859P9/26147S0tL9PX1X7g9OTmZtLS0QvUPaH4H7/JefBVzc3MSEhI0P1etWpWqVasSFxdHVlZWgcc+Kyh3/fp14OlrEhYWhqGhoebEWqFQUKdOHU2M/2z/ZV72/nl2/D9f92d9Ps/ExOSlr2+tWrWIi4vTxPFsCmZMTIxmiubrYnjev/0O//n5eNlzeb4fS0tLKleuTGRkJHl5ea/t+3WUSiWRkZEF2i5uzz8fGxubF2aZhIWFUbly5ZeOQD9/bNWqVUlJScHQ0JCaNWu+8Dt/3bHPHqOtrY2dnR2VKlXSfG/k5uYCT4txPXnyRNPP857/2/yuUlJSNO2+7H35KpaWlsTExBSq7zfxqu/NV/3tliSJ+Ph4cnNzadasGX379qVHjx40a9asQkzhFoTSRCS2giCzzMxMLl68yJUrVzQnFoIgCIIglH56enq0a9eOjh07vvM6XEEQioZIbAVBEARBEARBEIQyrXxXBRAEQRAEQRAEQRDKPZHYCoIgCIIgCIIgCGWaSGwFQRAEQRAEQRCEMk0ktoIgCIIgCIIgCEKZJhJbQRAEQRAEQRAEoUwTia0gCIIgCIIgCIJQponEVhAEQRAEQRAEQSjTRGIrCIIgCIIgCIIglGn/DyfMgs1B8FAwAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,12))\n",
    "ProjIn = ccrs.PlateCarree(central_longitude=0)\n",
    "\n",
    "ax = fig.add_subplot (111, projection=ProjPlot)\n",
    "\n",
    "ax.set_title (Model)\n",
    "ax.add_feature (coast_poly, facecolor='none')\n",
    "ax.gridlines  ()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84f0d144-e96d-4f7e-a1c0-7c406ced986d",
   "metadata": {},
   "source": [
    "## Plot with filling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "75471362-9238-4adf-af78-3e0b503fb602",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.gridliner.Gridliner at 0x155845a50>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,12))\n",
    "ProjIn = ccrs.Geodetic ()\n",
    "\n",
    "ax = fig.add_subplot (111, projection=ProjPlot)\n",
    "\n",
    "ax.set_title (Model)\n",
    "ax.add_feature (coast_poly, facecolor='blue')\n",
    "ax.gridlines  ()\n",
    "\n",
    "#for nn in np.arange (np.max(list_land)) :\n",
    "#    xlon = np.mean (list_lon[np.where(list_land==nn)])\n",
    "#    ylat = np.mean (list_lat[np.where(list_land==nn)])\n",
    "#    ax.annotate (str(nn), xy=[xlon,ylat], xycoords=ProjIn._as_mpl_transform(ax), fontsize='large', ha='center', va='center')\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "798cec29-12cc-492d-88f0-7a2215ab7bbf",
   "metadata": {},
   "source": [
    "## Using a path \n",
    "Work with all projection for the coastline\n",
    "\n",
    "With filling, may work, or not, depending on the projection. Better with limited area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8a653cb6-5f79-4a33-958b-999c4edb2e9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "codes = np.where (np.isnan(list_lon), Path.MOVETO, Path.LINETO)\n",
    "codes[0] = Path.MOVETO\n",
    "path = Path (np.stack([list_lon, list_lat]).T, codes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "923bdf9d-49f3-4fa9-9e5c-5b499fabe5e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<cartopy.mpl.gridliner.Gridliner at 0x150c27f10>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/marti/mambaforge/envs/FULL/lib/python3.11/site-packages/shapely/creation.py:119: RuntimeWarning: invalid value encountered in linestrings\n",
      "  return lib.linestrings(coords, out=out, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,12))\n",
    "ProjIn = ccrs.PlateCarree(central_longitude=0)\n",
    "\n",
    "ax = fig.add_subplot (111, projection=ProjPlot)\n",
    "\n",
    "ax.set_title (Model)\n",
    "ax.set_global ()\n",
    "patch = mpatches.PathPatch (path, facecolor='red', lw=1, transform=ProjIn)\n",
    "ax.add_patch (patch)\n",
    "ax.gridlines  ()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5dc5bd4",
   "metadata": {},
   "source": [
    "# Write the result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c296982a",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_lon = xr.DataArray (list_lon, dims = ['coastal_point',])\n",
    "list_lat = xr.DataArray (list_lat, dims = ['coastal_point',])\n",
    "list_lon.attrs.update ({'name':'Longitude', 'units':'degrees_east' , 'long_name':'Longitude of coast line'})\n",
    "list_lat.attrs.update ({'name':'Latitude' , 'units':'degrees_north', 'long_name':'Latitude of coat line'  })\n",
    "\n",
    "list_land = xr.DataArray ( list_land, dims = ['coastal_point',])\n",
    "list_land.attrs.update ( {'long_name':'Land mass identifier'})\n",
    "\n",
    "list_inner = xr.DataArray ( list_inner, dims = ['coastal_point', ])\n",
    "list_inner.attrs['long_name'] = 'Inner water body (lake, closed sea, ...) indicator. 1 if inner water body, 0 else'\n",
    "\n",
    "list_j = xr.DataArray ( list_j, dims = ['coastal_point', ] )\n",
    "list_i = xr.DataArray ( list_i, dims = ['coastal_point', ] )\n",
    "list_j.attrs.update ({'name':'IndexJ', 'long_name':'Index J'})\n",
    "list_i.attrs.update ({'name':'IndexI', 'long_name':'Index I'})\n",
    "\n",
    "OuFile = Model + '_' + 'coastline.nc'\n",
    "list_geo = xr.Dataset ( {'lon_coast':list_lon, 'lat_coast':list_lat, 'land_mass':list_land, 'inner_water_body':list_inner, \n",
    "                          'IndexJ':list_j, 'IndexI':list_i})\n",
    "list_geo.attrs.update ({'Description':'Coordinates of the coastline', 'File':OuFile,\n",
    "                        'title':'Coordinates of the coastline', 'Conventions':\"CF-1.6\", 'source':\"IPSL Earth system model\",\n",
    "                        'group':\"ICMC IPSL Climate Modelling Center\", 'Institution':\"IPSL https://www.ipsl.fr\", 'associatedFiles':[f_Coord, f_Mask],\n",
    "                        'directory':os.getcwd (), 'description':\"Generated with CoastLine.ipynb\", \n",
    "                        'created':str(datetime.datetime.now().strftime('%A %d %B %Y @ %H:%M %Z')),\n",
    "                        'HOSTNAME':platform.node (), 'LOGNAME':os.getlogin (), 'Python':f\"Python version {platform.python_version ()}\",\n",
    "                        'OS':f'{platform.system()} {platform.release ()}', 'hardware':platform.machine () })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "64fdf934",
   "metadata": {},
   "outputs": [],
   "source": [
    "if os.path.exists (OuFile) : \n",
    "    os.remove (OuFile)\n",
    "\n",
    "list_geo.to_netcdf ( OuFile, mode='w', encoding={\n",
    "      \"lon_coast\"        : {'dtype': 'float32'},\n",
    "      \"lat_coast\"        : {'dtype': 'float32'},\n",
    "      \"land_mass\"        : {'dtype': 'int32'  },\n",
    "      \"inner_water_body\" : {'dtype': 'int32'  },\n",
    "      \"IndexI\"           : {'dtype': 'int32'  },\n",
    "      \"IndexJ\"           : {'dtype': 'int32'  },\n",
    "} )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cff2de72-ef8e-46de-86ef-7b11204ccb25",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2MB\n",
       "Dimensions:           (coastal_point: 31366)\n",
       "Dimensions without coordinates: coastal_point\n",
       "Data variables:\n",
       "    lon_coast         (coastal_point) float64 251kB 164.6 164.7 ... -107.5 nan\n",
       "    lat_coast         (coastal_point) float64 251kB -77.98 -77.94 ... 68.21 nan\n",
       "    land_mass         (coastal_point) int64 251kB 1 1 1 1 1 ... 528 528 528 0\n",
       "    inner_water_body  (coastal_point) int64 251kB 0 0 0 0 0 0 0 ... 0 0 0 0 0 0\n",
       "    IndexJ            (coastal_point) int64 251kB 158 158 159 ... 1201 1201 -99\n",
       "    IndexI            (coastal_point) int64 251kB 374 158 159 ... 1201 1201 -99\n",
       "Attributes: (12/16)\n",
       "    Description:      Coordinates of the coastline\n",
       "    File:             eORCA025_coastline.nc\n",
       "    title:            Coordinates of the coastline\n",
       "    Conventions:      CF-1.6\n",
       "    source:           IPSL Earth system model\n",
       "    group:            ICMC IPSL Climate Modelling Center\n",
       "    ...               ...\n",
       "    created:          Thursday 07 March 2024 @ 12:11 \n",
       "    HOSTNAME:         lsce5138.lsce.ipsl.fr\n",
       "    LOGNAME:          root\n",
       "    Python:           Python version 3.11.8\n",
       "    OS:               Darwin 23.2.0\n",
       "    hardware:         x86_64</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ec029b2f-3a89-496c-a897-ff4b1d49c4aa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec029b2f-3a89-496c-a897-ff4b1d49c4aa' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>coastal_point</span>: 31366</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3a72292d-fcaf-45d8-8db1-18a5c52502c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a72292d-fcaf-45d8-8db1-18a5c52502c7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-466cef8d-3420-4820-82e0-fc0bae9e332a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-466cef8d-3420-4820-82e0-fc0bae9e332a' class='xr-section-summary' >Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon_coast</span></div><div class='xr-var-dims'>(coastal_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>164.6 164.7 164.7 ... -107.5 nan</div><input id='attrs-5f5047dd-e8fb-4cf0-a139-5d082fa32b63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f5047dd-e8fb-4cf0-a139-5d082fa32b63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf908b36-ee7a-4880-bebf-42b3cc2096a2' class='xr-var-data-in' type='checkbox'><label for='data-cf908b36-ee7a-4880-bebf-42b3cc2096a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude of coast line</dd></dl></div><div class='xr-var-data'><pre>array([ 164.63162939,  164.66889255,  164.70560428, ..., -107.35378509,\n",
       "       -107.45851853,           nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_coast</span></div><div class='xr-var-dims'>(coastal_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.98 -77.94 -77.89 ... 68.21 nan</div><input id='attrs-a5364fab-9382-47b0-890a-2ffbd1feef49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5364fab-9382-47b0-890a-2ffbd1feef49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7dc440c-d5a6-4613-9f1a-be7e8783ca74' class='xr-var-data-in' type='checkbox'><label for='data-e7dc440c-d5a6-4613-9f1a-be7e8783ca74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude of coat line</dd></dl></div><div class='xr-var-data'><pre>array([-77.98445494, -77.93733528, -77.89005275, ...,  68.21357956,\n",
       "        68.2121031 ,          nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land_mass</span></div><div class='xr-var-dims'>(coastal_point)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 ... 528 528 528 528 0</div><input id='attrs-dea672b5-4e28-4cfb-8d43-356d6e03d681' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dea672b5-4e28-4cfb-8d43-356d6e03d681' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40a5e512-9d48-4269-83f1-3c18e213e4fe' class='xr-var-data-in' type='checkbox'><label for='data-40a5e512-9d48-4269-83f1-3c18e213e4fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Land mass identifier</dd></dl></div><div class='xr-var-data'><pre>array([  1,   1,   1, ..., 528, 528,   0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inner_water_body</span></div><div class='xr-var-dims'>(coastal_point)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-28a09029-a92f-4628-bfcc-b8f6b9f599a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28a09029-a92f-4628-bfcc-b8f6b9f599a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e24308-15be-42d5-9ac6-db7d2bb54bad' class='xr-var-data-in' type='checkbox'><label for='data-69e24308-15be-42d5-9ac6-db7d2bb54bad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Inner water body (lake, closed sea, ...) indicator. 1 if inner water body, 0 else</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 0, 0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>IndexJ</span></div><div class='xr-var-dims'>(coastal_point)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>158 158 159 160 ... 1201 1201 -99</div><input id='attrs-5daf8d66-d47f-4185-8c1d-2b42309d3999' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5daf8d66-d47f-4185-8c1d-2b42309d3999' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62db657d-28e0-4752-bf91-e62da0569386' class='xr-var-data-in' type='checkbox'><label for='data-62db657d-28e0-4752-bf91-e62da0569386' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>IndexJ</dd><dt><span>long_name :</span></dt><dd>Index J</dd></dl></div><div class='xr-var-data'><pre>array([ 158,  158,  159, ..., 1201, 1201,  -99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>IndexI</span></div><div class='xr-var-dims'>(coastal_point)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>374 158 159 160 ... 1201 1201 -99</div><input id='attrs-ab00d86f-9472-477d-b0b9-706dab195d57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab00d86f-9472-477d-b0b9-706dab195d57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6408a003-a53b-46fc-86e3-29ecbc0e83fd' class='xr-var-data-in' type='checkbox'><label for='data-6408a003-a53b-46fc-86e3-29ecbc0e83fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>IndexI</dd><dt><span>long_name :</span></dt><dd>Index I</dd></dl></div><div class='xr-var-data'><pre>array([ 374,  158,  159, ..., 1201, 1201,  -99])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4aa6455f-e4fe-49a9-98ed-e2e84481c4af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4aa6455f-e4fe-49a9-98ed-e2e84481c4af' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fa39d7c7-34d7-40e4-8203-2a8878dd76b0' class='xr-section-summary-in' type='checkbox'  ><label for='section-fa39d7c7-34d7-40e4-8203-2a8878dd76b0' class='xr-section-summary' >Attributes: <span>(16)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Coordinates of the coastline</dd><dt><span>File :</span></dt><dd>eORCA025_coastline.nc</dd><dt><span>title :</span></dt><dd>Coordinates of the coastline</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>source :</span></dt><dd>IPSL Earth system model</dd><dt><span>group :</span></dt><dd>ICMC IPSL Climate Modelling Center</dd><dt><span>Institution :</span></dt><dd>IPSL https://www.ipsl.fr</dd><dt><span>associatedFiles :</span></dt><dd>[&#x27;/Users/marti/GRAF/DATA/eORCA025_coordinates.nc&#x27;, &#x27;/Users/marti/GRAF/DATA/eORCA025_coordinates_mask.nc&#x27;]</dd><dt><span>directory :</span></dt><dd>/Users/marti/Unix/Notebooks/CoastLine</dd><dt><span>description :</span></dt><dd>Generated with CoastLine.ipynb</dd><dt><span>created :</span></dt><dd>Thursday 07 March 2024 @ 12:11 </dd><dt><span>HOSTNAME :</span></dt><dd>lsce5138.lsce.ipsl.fr</dd><dt><span>LOGNAME :</span></dt><dd>root</dd><dt><span>Python :</span></dt><dd>Python version 3.11.8</dd><dt><span>OS :</span></dt><dd>Darwin 23.2.0</dd><dt><span>hardware :</span></dt><dd>x86_64</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2MB\n",
       "Dimensions:           (coastal_point: 31366)\n",
       "Dimensions without coordinates: coastal_point\n",
       "Data variables:\n",
       "    lon_coast         (coastal_point) float64 251kB 164.6 164.7 ... -107.5 nan\n",
       "    lat_coast         (coastal_point) float64 251kB -77.98 -77.94 ... 68.21 nan\n",
       "    land_mass         (coastal_point) int64 251kB 1 1 1 1 1 ... 528 528 528 0\n",
       "    inner_water_body  (coastal_point) int64 251kB 0 0 0 0 0 0 0 ... 0 0 0 0 0 0\n",
       "    IndexJ            (coastal_point) int64 251kB 158 158 159 ... 1201 1201 -99\n",
       "    IndexI            (coastal_point) int64 251kB 374 158 159 ... 1201 1201 -99\n",
       "Attributes: (12/16)\n",
       "    Description:      Coordinates of the coastline\n",
       "    File:             eORCA025_coastline.nc\n",
       "    title:            Coordinates of the coastline\n",
       "    Conventions:      CF-1.6\n",
       "    source:           IPSL Earth system model\n",
       "    group:            ICMC IPSL Climate Modelling Center\n",
       "    ...               ...\n",
       "    created:          Thursday 07 March 2024 @ 12:11 \n",
       "    HOSTNAME:         lsce5138.lsce.ipsl.fr\n",
       "    LOGNAME:          root\n",
       "    Python:           Python version 3.11.8\n",
       "    OS:               Darwin 23.2.0\n",
       "    hardware:         x86_64"
      ]
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