process_radar_data.ipynb

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   "cell_type": "code",
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     "text": [
      "\n",
      "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n",
      "## library for working with weather radar data. Py-ART is partly\n",
      "## supported by the U.S. Department of Energy as part of the Atmospheric\n",
      "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n",
      "## Science user facility.\n",
      "##\n",
      "## If you use this software to prepare a publication, please cite:\n",
      "##\n",
      "##     JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pyart, pyproj\n",
    "import pandas as pd\n",
    "import os\n",
    "import pickle as pkl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read radar station coords and snow sensor data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "filepath = '/Users/james/Documents/datascience/coursework/metis/sea17_ds1/student_submissions/projects/05-kojak/cho_james/old_snow/'\n",
    "filename = 'rdr_coords.pkl'\n",
    "with open(filepath + filename, 'rb') as handle:\n",
    "    rdr_coords = pkl.load(handle)\n",
    "    \n",
    "filename = 'sr_df.pkl'\n",
    "with open(filepath + filename, 'rb') as handle:\n",
    "    snow = pkl.load(handle)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get properties at a point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# https://groups.google.com/forum/#!searchin/pyart-users/find_x_y_displacement/pyart-users/NYRAKvv1R9A/RVup7ohZAwAJ\n",
    "\n",
    "def find_x_y_displacement(radar, longitude, latitude):\n",
    "    \"\"\" Return the x and y displacement (in meters) from a radar location. \"\"\"\n",
    "    # longitude and latitude in degrees\n",
    "    lat_0 = radar.latitude['data'][0]\n",
    "    lon_0 = radar.longitude['data'][0]\n",
    "    proj = pyproj.Proj(proj='aeqd', lon_0=lon_0, lat_0=lat_0)\n",
    "    return proj(longitude, latitude)\n",
    "\n",
    "\n",
    "def find_nearest_gate(radar, longitude, latitude, altitude):\n",
    "    \"\"\" Return the indices of the nearest gate to a given point. \"\"\"\n",
    "    # longitude and latitude in degrees, altitude in meters\n",
    "    gate_x = radar.gate_x['data']\n",
    "    gate_y = radar.gate_y['data']\n",
    "    gate_z = radar.gate_z['data']\n",
    "\n",
    "    x_disp, y_disp = find_x_y_displacement(radar, longitude, latitude)\n",
    "    \n",
    "    distances = np.sqrt(\n",
    "        (gate_x-x_disp)**2. + (gate_y-y_disp)**2. + (gate_z-altitude)**2.)\n",
    "    return np.unravel_index(distances.argmin(), distances.shape)\n",
    "\n",
    "def interpolate_single_point(radar, longitude, latitude, altitude):\n",
    "    \"\"\" Interpolate a single grid point at a given location. \"\"\"\n",
    "    x_disp, y_disp = find_x_y_displacement(radar, longitude, latitude)\n",
    "    # grid dimension from center\n",
    "    grid_h = 2000.0\n",
    "    grid_alt = 150.0\n",
    "    grid = pyart.map.grid_from_radars(\n",
    "        (radar,),\n",
    "        gridding_algo='map_gates_to_grid',\n",
    "        grid_shape=(1, 1, 1),\n",
    "        grid_limits=((altitude-grid_alt, altitude + grid_alt), (y_disp-grid_h, y_disp+grid_h), (x_disp-grid_h, x_disp+grid_h)),\n",
    "        #grid_limits=((altitude, 0), (y_disp, 25000.0), (x_disp, 25000.0)),\n",
    "        fields=['reflectivity', 'differential_phase', 'cross_correlation_ratio', 'velocity'])\n",
    "    return grid\n",
    "\n",
    "def get_reflectivity(radar, longitude, latitude, altitude):\n",
    "    interpolate_single_point(radar, longitude, latitude, altitude)\n",
    "    # interpolate around gate\n",
    "    grid = interpolate_single_point(radar, longitude, latitude, altitude)\n",
    "    #pyart.io.add_2d_latlon_axis(grid)\n",
    "    pixel_latitude = grid.get_point_longitude_latitude()[1][0][0]\n",
    "    pixel_longitude = grid.get_point_longitude_latitude()[0][0][0]\n",
    "    #pixel_altitude = grid.axes['z_disp']['data'][0]\n",
    "    pixel_reflectivity = np.asarray(grid.fields['reflectivity']['data'][0])[0][0]\n",
    "    pixel_difphase = np.asarray(grid.fields['differential_phase']['data'][0])[0][0]\n",
    "    pixel_xcorr_ratio = np.asarray(grid.fields['cross_correlation_ratio']['data'][0])[0][0]\n",
    "    pixel_velocity = np.asarray(grid.fields['velocity']['data'][0])[0][0]\n",
    "    \n",
    "    # get time\n",
    "    ray, gate = find_nearest_gate(radar, longitude, latitude, altitude)\n",
    "    coverage_start_time = pd.to_datetime(radar.time['units'].strip(\"seconds since\")) \n",
    "    ray_delta_time = pd.Timedelta(str(round(radar.time['data'][ray])) + ' seconds')\n",
    "    ray_time = coverage_start_time + ray_delta_time\n",
    "    \n",
    "    return {'time': ray_time, 'lat': pixel_latitude, 'lon': pixel_longitude, \n",
    "            'alt_m': float(dict(grid.point_altitude)['data']), \n",
    "            'refl': pixel_reflectivity,\n",
    "            'difphase': pixel_difphase,\n",
    "            'xcorr_ratio': pixel_xcorr_ratio,\n",
    "            'velocity': pixel_velocity\n",
    "           }\n",
    "\n",
    "\n",
    "def get_reflectivity_gate(radar, longitude, latitude, altitude):\n",
    "    ray, gate = find_nearest_gate(radar, longitude, latitude, altitude)\n",
    "    \n",
    "    gate_latitude = radar.gate_latitude['data'][ray, gate]\n",
    "    gate_longitude = radar.gate_longitude['data'][ray, gate]\n",
    "    gate_altitude = radar.gate_altitude['data'][ray, gate]\n",
    "    gate_reflectivity = radar.fields['reflectivity']['data'][ray, gate]\n",
    "    \n",
    "    coverage_start_time = pd.to_datetime(radar.time['units'].strip(\"seconds since\")) \n",
    "    ray_delta_time = pd.Timedelta(str(round(radar.time['data'][ray])) + ' seconds')\n",
    "    ray_time = coverage_start_time + ray_delta_time\n",
    "    \n",
    "    return {'time': ray_time, 'lat': gate_latitude, 'lon': gate_longitude,\n",
    "            'alt_m': gate_altitude,'refl': gate_reflectivity}\n",
    "    \n",
    "\n",
    "#####\n",
    "\n",
    "# latitude = 37.0    # latitude (in degrees) to find reflectivity at or near\n",
    "# longitude = -120.0  # longitude (in degrees) to find reflectivity at or near\n",
    "# altitude = 6000       # altitude (in meters) to find reflectivity at or near\n",
    "\n",
    "# # find nearest gate\n",
    "# ray, gate = find_nearest_gate(radar, longitude, latitude, altitude)\n",
    "# #print(ray, gate)\n",
    "# gate_latitude = radar.gate_latitude['data'][ray, gate]\n",
    "# gate_longitude = radar.gate_longitude['data'][ray, gate]\n",
    "# gate_altitude = radar.gate_altitude['data'][ray, gate]\n",
    "# gate_reflectivity = radar.fields['reflectivity']['data'][ray, gate]\n",
    "# print(\"-----------------------\")\n",
    "# print(\"Nearest gate:\")\n",
    "# print(\"Latitude:\", gate_latitude)\n",
    "# print(\"Longitude:\", gate_longitude)\n",
    "# print(\"Altitude:\", gate_altitude)\n",
    "# print(\"Reflectivity:\", gate_reflectivity)\n",
    "\n",
    "# # interpolate around gate\n",
    "# grid = interpolate_single_point(radar, longitude, latitude, altitude)\n",
    "# #pyart.io.add_2d_latlon_axis(grid)\n",
    "# pixel_latitude = grid.get_point_longitude_latitude()[1][0][0]\n",
    "# pixel_longitude = grid.get_point_longitude_latitude()[0][0][0]\n",
    "# #pixel_altitude = grid.axes['z_disp']['data'][0]\n",
    "# pixel_reflectivity = np.asarray(grid.fields['reflectivity']['data'][0])[0][0]\n",
    "\n",
    "# # get time of reading\n",
    "# coverage_start_time = pd.to_datetime(radar.time['units'].strip(\"seconds since\")) \n",
    "# ray_delta_time = pd.Timedelta(str(round(radar.time['data'][ray])) + ' seconds')\n",
    "# ray_time = coverage_start_time + ray_delta_time\n",
    "\n",
    "# print(\"-----------------------\")\n",
    "# print(\"Interpolated pixel:\")\n",
    "# print(\"Latitude:\", pixel_latitude)\n",
    "# print(\"Longitude:\", pixel_longitude)\n",
    "# #print(\"Altitude:\", pixel_altitude[0][0])\n",
    "# print(\"Reflectivity:\", pixel_reflectivity)\n",
    "# print(\"Ray time\", ray_time)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Did it for one point. Now, for one snow sensor station, get all readings and times from all radar files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "# build filename list\n",
    "filepath = '/Users/james/Documents/datascience/coursework/metis/sea17_ds1/student_submissions/projects/05-kojak/cho_james/old_snow/new_data/'\n",
    "os.chdir(filepath)\n",
    "rdr = 'KHNX'\n",
    "files = tuple(filter(lambda s: rdr == s[:4], os.listdir()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
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       " 'KHNXd20170131t1800.cfradial',\n",
       " 'KHNXd20170131t2000.cfradial',\n",
       " 'KHNXd20170131t2200.cfradial',\n",
       " 'KHNXd20170201t0000.cfradial',\n",
       " 'KHNXd20170201t0200.cfradial',\n",
       " 'KHNXd20170201t0400.cfradial',\n",
       " 'KHNXd20170201t0600.cfradial',\n",
       " 'KHNXd20170201t0800.cfradial',\n",
       " 'KHNXd20170201t1000.cfradial',\n",
       " 'KHNXd20170201t1200.cfradial',\n",
       " 'KHNXd20170201t1400.cfradial',\n",
       " 'KHNXd20170201t1600.cfradial',\n",
       " 'KHNXd20170201t1800.cfradial',\n",
       " 'KHNXd20170201t2000.cfradial',\n",
       " 'KHNXd20170201t2200.cfradial',\n",
       " 'KHNXd20170202t0000.cfradial',\n",
       " 'KHNXd20170202t0200.cfradial',\n",
       " 'KHNXd20170202t0400.cfradial',\n",
       " 'KHNXd20170202t0600.cfradial',\n",
       " 'KHNXd20170202t0800.cfradial',\n",
       " 'KHNXd20170202t1000.cfradial',\n",
       " 'KHNXd20170202t1200.cfradial',\n",
       " 'KHNXd20170202t1400.cfradial',\n",
       " 'KHNXd20170202t1600.cfradial',\n",
       " 'KHNXd20170202t1800.cfradial',\n",
       " 'KHNXd20170202t2000.cfradial',\n",
       " 'KHNXd20170202t2200.cfradial',\n",
       " 'KHNXd20170203t0000.cfradial',\n",
       " 'KHNXd20170203t0200.cfradial',\n",
       " 'KHNXd20170203t0400.cfradial',\n",
       " 'KHNXd20170203t0600.cfradial',\n",
       " 'KHNXd20170203t0800.cfradial',\n",
       " 'KHNXd20170203t1000.cfradial',\n",
       " 'KHNXd20170203t1200.cfradial',\n",
       " 'KHNXd20170203t1400.cfradial',\n",
       " 'KHNXd20170203t1600.cfradial',\n",
       " 'KHNXd20170203t1800.cfradial',\n",
       " 'KHNXd20170203t2000.cfradial',\n",
       " 'KHNXd20170203t2200.cfradial',\n",
       " 'KHNXd20170204t0000.cfradial',\n",
       " 'KHNXd20170204t0200.cfradial',\n",
       " 'KHNXd20170204t0400.cfradial',\n",
       " 'KHNXd20170204t0600.cfradial',\n",
       " 'KHNXd20170204t0800.cfradial',\n",
       " 'KHNXd20170204t1000.cfradial',\n",
       " 'KHNXd20170204t1200.cfradial',\n",
       " 'KHNXd20170204t1400.cfradial',\n",
       " 'KHNXd20170204t1600.cfradial',\n",
       " 'KHNXd20170204t1800.cfradial',\n",
       " 'KHNXd20170204t2000.cfradial',\n",
       " 'KHNXd20170204t2200.cfradial',\n",
       " 'KHNXd20170205t0000.cfradial',\n",
       " 'KHNXd20170205t0200.cfradial',\n",
       " 'KHNXd20170205t0400.cfradial',\n",
       " 'KHNXd20170205t0600.cfradial',\n",
       " 'KHNXd20170205t0800.cfradial',\n",
       " 'KHNXd20170205t1000.cfradial',\n",
       " 'KHNXd20170205t1200.cfradial',\n",
       " 'KHNXd20170205t1400.cfradial',\n",
       " 'KHNXd20170205t1600.cfradial',\n",
       " 'KHNXd20170205t1800.cfradial',\n",
       " 'KHNXd20170205t2000.cfradial',\n",
       " 'KHNXd20170205t2200.cfradial',\n",
       " 'KHNXd20170206t0000.cfradial',\n",
       " 'KHNXd20170206t0200.cfradial',\n",
       " 'KHNXd20170206t0400.cfradial',\n",
       " 'KHNXd20170206t0600.cfradial',\n",
       " 'KHNXd20170206t0800.cfradial',\n",
       " 'KHNXd20170206t1000.cfradial',\n",
       " 'KHNXd20170206t1200.cfradial',\n",
       " 'KHNXd20170206t1400.cfradial',\n",
       " 'KHNXd20170206t1600.cfradial',\n",
       " 'KHNXd20170206t1800.cfradial',\n",
       " 'KHNXd20170206t2000.cfradial',\n",
       " 'KHNXd20170206t2200.cfradial',\n",
       " 'KHNXd20170207t0000.cfradial',\n",
       " 'KHNXd20170207t0200.cfradial',\n",
       " 'KHNXd20170207t0400.cfradial',\n",
       " 'KHNXd20170207t0600.cfradial',\n",
       " 'KHNXd20170207t0800.cfradial',\n",
       " 'KHNXd20170207t1000.cfradial',\n",
       " 'KHNXd20170207t1200.cfradial',\n",
       " 'KHNXd20170207t1400.cfradial',\n",
       " 'KHNXd20170207t1600.cfradial',\n",
       " 'KHNXd20170207t1800.cfradial',\n",
       " 'KHNXd20170207t2000.cfradial',\n",
       " 'KHNXd20170207t2200.cfradial')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['agp',\n",
       " 'bgp',\n",
       " 'bsh',\n",
       " 'chp',\n",
       " 'dan',\n",
       " 'frw',\n",
       " 'gem',\n",
       " 'ksp',\n",
       " 'mhp',\n",
       " 'slk',\n",
       " 'stl',\n",
       " 'swm',\n",
       " 'tum',\n",
       " 'tun',\n",
       " 'ubc',\n",
       " 'vlc',\n",
       " 'wtm',\n",
       " 'wwc']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "-------------------------\n",
      "Reading KHNXd20170207t2000.cfradial 287 of 288 files\n",
      "2017-09-07 21:10:47.417271\n",
      "\n",
      "sensor: agp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: bgp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: bsh\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: chp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: dan\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: frw\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: gem\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: ksp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: mhp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: slk\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: stl\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: swm\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: tum\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: tun\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: ubc\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: vlc\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: wtm\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: wwc\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "\n",
      "-------------------------\n",
      "Reading KHNXd20170207t2200.cfradial 288 of 288 files\n",
      "2017-09-07 21:20:30.003625\n",
      "\n",
      "sensor: agp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: bgp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: bsh\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: chp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: dan\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: frw\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: gem\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: ksp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: mhp\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: slk\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: stl\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: swm\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: tum\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: tun\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: ubc\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: vlc\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: wtm\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "\n",
      "sensor: wwc\n",
      "altitude: 2000 m\n",
      "altitude: 3000 m\n",
      "altitude: 4000 m\n",
      "altitude: 5000 m\n",
      "altitude: 6000 m\n",
      "CPU times: user 1d 4h 30s, sys: 4h 33min 35s, total: 1d 8h 34min 6s\n",
      "Wall time: 1d 10h 5min 43s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "from IPython.display import clear_output\n",
    "from datetime import datetime\n",
    "import gc\n",
    "\n",
    "# pass station code list, file list\n",
    "#st_codes = ['gnf','grm'] # sensor code\n",
    "\n",
    "st_codes = st_list\n",
    "\n",
    "refl = {'st_code': [],\n",
    "        'alt_m':[], \n",
    "        'lat':[], \n",
    "        'lon':[], \n",
    "        'refl':[], \n",
    "        'difphase':[], \n",
    "        'xcorr_ratio':[], \n",
    "        'velocity': [], \n",
    "        'time':[]}\n",
    "# KHNXd20170118t2200.cfradial\n",
    "for i,filename in enumerate(files):\n",
    "    print('\\n\\n-------------------------')\n",
    "    print(\"Reading\", filename, i+1, 'of', len(files), 'files')\n",
    "    print(datetime.now())\n",
    "    radar = pyart.io.read_cfradial(filepath + filename, delay_field_loading=True)\n",
    "    altitudes = range(2000,6001,1000) # in meters. 6500 to 20000 ft\n",
    "    refl_alt = []\n",
    "    old_ref = 0\n",
    "    new_ref = 0\n",
    "    for st_code in st_codes:\n",
    "        lat = snow[snow['st_code'] == st_code].head(1)['st_lat']\n",
    "        lon = snow[snow['st_code'] == st_code].head(1)['st_lon']\n",
    "\n",
    "        print(\"\\nsensor:\", st_code)\n",
    "        for alt in altitudes:\n",
    "            print('altitude:', alt, 'm')\n",
    "            new_ref = get_reflectivity(radar, float(lon), float(lat), alt)\n",
    "            new_ref['st_code'] = st_code\n",
    "            #new_ref = get_reflectivity_gate(radar, float(lon), float(lat), alt)\n",
    "            if new_ref != old_ref:\n",
    "                for k in refl.keys():\n",
    "                    refl[k].append(new_ref[k]) # should have some \"reading code for sensors\"\n",
    "            old_ref = new_ref\n",
    "    pd.DataFrame.from_dict(refl).to_pickle('refl2_df.pkl')\n",
    "    del radar\n",
    "    if i > 0 and i % 5 == 0:\n",
    "        gc.collect()\n",
    "        clear_output()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Review sensor data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sr_df = pd.read_pickle('sr_df.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "srr_df = sr_df[sr_df['r_closest'] == 'khnx'].reset_index()\n",
    "srr_df.drop('index', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# convert everything to metric\n",
    "\n",
    "srr_df['elev_m'] = srr_df['elev_ft'] * 0.305\n",
    "srr_df['today_mm'] = srr_df['today_in'] * 25.4\n",
    "srr_df['r_elev_delta_m'] = srr_df['r_elev_delta_ft'] * 0.305\n",
    "\n",
    "del srr_df['elev_ft'], srr_df['today_in'], srr_df['r_elev_delta_ft']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>st_code</th>\n",
       "      <th>date</th>\n",
       "      <th>st_lat</th>\n",
       "      <th>st_lon</th>\n",
       "      <th>r_closest</th>\n",
       "      <th>r_dist_km</th>\n",
       "      <th>elev_m</th>\n",
       "      <th>today_mm</th>\n",
       "      <th>r_elev_delta_m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>dan</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>37.897</td>\n",
       "      <td>-119.257</td>\n",
       "      <td>khnx</td>\n",
       "      <td>178.800053</td>\n",
       "      <td>2989.00</td>\n",
       "      <td>289.56</td>\n",
       "      <td>2914.885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tum</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>37.873</td>\n",
       "      <td>-119.350</td>\n",
       "      <td>khnx</td>\n",
       "      <td>174.808083</td>\n",
       "      <td>2623.00</td>\n",
       "      <td>149.86</td>\n",
       "      <td>2548.885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tny</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>37.838</td>\n",
       "      <td>-119.448</td>\n",
       "      <td>khnx</td>\n",
       "      <td>169.905072</td>\n",
       "      <td>2485.75</td>\n",
       "      <td>279.40</td>\n",
       "      <td>2411.635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>whw</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>37.859</td>\n",
       "      <td>-119.652</td>\n",
       "      <td>khnx</td>\n",
       "      <td>171.453515</td>\n",
       "      <td>2409.50</td>\n",
       "      <td>177.80</td>\n",
       "      <td>2335.385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>vlc</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>37.388</td>\n",
       "      <td>-118.903</td>\n",
       "      <td>khnx</td>\n",
       "      <td>135.758668</td>\n",
       "      <td>3065.25</td>\n",
       "      <td>325.12</td>\n",
       "      <td>2991.135</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  st_code       date  st_lat   st_lon r_closest   r_dist_km   elev_m  \\\n",
       "0     dan 2017-01-01  37.897 -119.257      khnx  178.800053  2989.00   \n",
       "1     tum 2017-01-01  37.873 -119.350      khnx  174.808083  2623.00   \n",
       "2     tny 2017-01-01  37.838 -119.448      khnx  169.905072  2485.75   \n",
       "3     whw 2017-01-01  37.859 -119.652      khnx  171.453515  2409.50   \n",
       "4     vlc 2017-01-01  37.388 -118.903      khnx  135.758668  3065.25   \n",
       "\n",
       "   today_mm  r_elev_delta_m  \n",
       "0    289.56        2914.885  \n",
       "1    149.86        2548.885  \n",
       "2    279.40        2411.635  \n",
       "3    177.80        2335.385  \n",
       "4    325.12        2991.135  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "srr_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "srr_grouped = srr_df.groupby('st_code')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mX+DJ3YdxesjA+q4e/MVzb5ZtD/K395wa0su2Iz28egnyhhVsF6o0NjMqjc24QnZ27MTJ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\nhka21QjCGJG9f4IgCCeP2NLqQ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q2134bXTzJtF/S1fPFs+lO5kv5v2NxFKmeTcTT9qZxf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XGoCIE/6Tsbm//0It/qmiKAnmSsYt1qdX7FbDU5qh551xtX5fLmrBkx93mtea1W1dSpcqZy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\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83syoFuoeRyiyyN3T0LJumoCk7kqtHTk8etUkHE27X2IisuDT+omIgi1myOJFL7wVrM7T\nz6m1VUw9FyfCiNA6wVu3lclyaqSMMnoTpfJsgldVz+Ha3uJZAJZtuefnu8O1QTy76s1dXK6dWluF\nR6+ahFTOLMq1skCQVKRQPAsEc21v8yz9zH3Btf13Z3ESgPZ/SQKx7W7Ewr8NwJXJiklsZ5i4IgaW\nIWmGiXW72nDDM+/jiYUNLhcXAd1LeAT5ZZcC1otFR0GZ+Ovn1Von3IaJrKqjo1DCDgCpbLjWF5ql\nlCX+y4muGe5x5biyyKKARY6+fKeq9bLGs+2y+iAizeR1zKobgdMq42huSeGR15vR2pHDQ3MnQjfN\nkv21+xIZzcCqDXv9Jern1XJL1Hkn7smIZAvZUUFWZ0UDYL0w3eApJfRq3dDE3a827sdnpo3muobQ\n8sSptVWu62/8uN2nG7KssQ6VccXnekTXoCQJqIwrGFLBbpVIRKxEHm/NlJJstMcmryMqCkirOp56\nZw8WThuNrz6+ntn2oXg4Ri5wDNXLKSZIagBcnhock7tlQXwiUOp4p/M6YjK/moyXAEzlNDvueMmV\na6fX2rFM48rJ/fkCNw1OKHbblqYb3PkQPOuHpcR+wxdrkc7rDpX5JNo781hTcHRyxkh33ansMRcs\nIWavUC1PyNvLoc6Nngl2Ijwui67xNE3gOoaV4GNX17vKgbu71k4EgmI2Indx6s7WTqzZcsgXV7Pq\nRrj+HivxHFVEHMvkEZWFwDWuGbDFe23eL8SK9/SxtSOHQZ42Wef+JQynB+1pnHh3j+VSNrW2Ckvn\n1SEZkaBIgusgKMiNgMeLXv2bvyy+hFt6/ehVkyAJBMRbfupAUNUZC/3NraaMMv5eUSrPLpzGF3Zm\nca0oCb3Cs+fUVFqafRGpx1wbxLPLXmt2jZOXa6OSAFkUXMmZIN4SC58piGfPqanE0wvZlc4RgYDI\nYq/yLB2jvuDak16Q9dMATwhINwyYhtXzphmmK6sWlURc/eQGV3CwBORSOQ0KAY4yRHkGRSWM+8Ea\nANamZ9s9X7btg9Oq1dKTLZRc0Ze3QXEZUUlgCr8G+WUHoZiYq1OEkKL53pk4eDSLEYNjeObPezB7\n0ki8vaMVk0ZV4tbCff5nYx3qR1UyxYiymuHOUgoELcdzrh576t29cNpoS/vEcR+6bvjEj4ZWRPB1\nlhhp4T6cgoydOY3pV37t9FrEFNEntEh7lo9n8i5BUg9OuHhVMVFKFpxe8V7v9qyqoaoiCgD2XMWV\nrrL7MNejc2UYJqKyyBQDfPnDQ1iz9TCWz6/HwaNdit6KQJAzTHyD8UJFe05ZyRFK6hFJYIquUuVz\n3ppR83rotceDYZroyGiISQRHcxoq43zxzGf+/DFT4Mp7XzxomsHlqfa02q9FhAFL2Jc33oosFuUw\nwzSx47AVt741fV4tYrLAFXC++okNltp9QbTZJwAZ7xLhdW4WfvzPE/Dd/3YLTS65Yjyyuom4LHLn\ngxDYc8ETlh6SVCAR4GhO8wmlUfFqp+Ckd9wCOMqFVDbPTFbwhLy9HEpFRHkc4lXPZ4nYUr7Y25bu\nzj2ccHHLoJjVTNjjcfrQhM8Va2mjpe5/0y8+8HGBU0i3I5tHImLx1JJ/nsiNKUEkXB6GaTk+0N9L\nqzrSqj+uKEeE4XRV1YruaYCuWNIMK1kYU0Rk8gaiomDHkZbXuX9r5Xv7uLzoFE/esngGZAFQHcKG\nikCgm8C+Ixn72c6rROLFr1WB5f8d3rotIoR8wmPWibIga9+jLMgaHry4LYlnC8/vg8eKr1XKtYZu\n9grPHs/kEZUEn6Bpd7g2iGcXPMV+16FcKxQ+s2GYobg27Xgn4/EsAGz54QzIxM+1mgk88dauXuVZ\noEdc+79GkPWEIaPq6Mhq+NvxDE4fallyCoRgR0sHBscjzFL9Cs9mLi6LyOZ1Zs+U6iiGuOWCMdbG\n3LGwf37tZEiC6et9kxgBEWQ/Vaw0uZiYK6ufl56yzj+3Bq9uOYwrG05D/ahKV9VCWrUSECyhPakw\nTpIoWKecBHj4D9txx2Wfc43BkjkT8dQ71Iq0K8ubzutM8SPefTgtON/d045bLhjjOzFdTCbAtwAA\nIABJREFU2lgHQoB97WluGV+xE6gTjZ5Ye7KqcJbMmYg7f70FrR05PHa1Fbe0H9KJMO0nhBSqrwSC\nY5k8nn9vny8m5jSchkvHnwJZsKwXl8yZiJ+9vRvzJldjSEWE23PqFDR0imxRjYmfXzuZ2WZUzKY7\nKgmh1x4PaVVHRcyqUBkQkZDJ8z3rWacDX6gdgsWrt4ay5M5oOppbOnw8NWZYBZeb+hMkgT/eYTgs\nrepYs+WQr3KElnmmGRZ29PSeVkdl8uyqq4XTRiNZ2Gw4tUtGDI654nL1poP40T+NR1S0fm5nq38+\nTh9aAUJgzwWvPfDGC8YglzcwwHPqRG3v6u7+vX2C5OVBr2gyD4ZhBvRz+09yvBzq3HyyOGRpYx1W\nrd/r+htB3Oqd+/7Ms0BwzCoCscdj8awzfSeaq9bvxZWTq5lckHSchikCsXlq5yedSKt5X0yNHT4A\npmZyeT+hSNAN0+5rNwrOBLz9SxhOD+oD91aFRmUBadXEk4X++Odv+AJGDIrbcbT5rkswIMqOc2a/\n/qTTfHuWmMIvvabPk5jCXw+8SlReBRZv3YZpZyujjDLCoySe3bAX10xnVyvzuPaTVA5H0rmSefZo\nOo+qpOKTJOgO1/J4Nm+Cua+NygL2H8nh4T9sx+HjOTyxoMF1GBnEtT4NTQbPAkAsoM3livrTepVn\ngb7j2nJypARIAkFFVIIoxH3Ws69sOeT6WVqq74UgkMCeKdqu4FUVXrerDfuPZnDqgIirvEsRCLK6\n4XPMKKUsvdgCzWqGr8dsZ2sH5k2pxoq1e3D/FROgmyaSEcmu8khlNSSjlhCn01qKCu2lVd3zGTTU\nDkn4+uESERGNk6t9ZVc88aOg3kQnSTW3dkIgcF1LIEBEFDCQ4eDw4NyJOJZRcdvzmwNtcU80elK2\nBgCKZ9zjERFjhiZw2yVnIK6ION3hVuO8/2JivoCVyLpuxUY8e90UJCL8mMiqOgisOVFEgubWTvtB\nwptXnsgWFaLa+UkndrV2+Poja4dW4LTBMe6ayeqGr6Sbt/Z4iBYefgIBUqqGpCIxhVklgfjaFe6/\nYgKW/G6bQ5k92JI7JokYMcjPUzFJ5HJTfwJvvDvzuquNi4eoKGDe5GpXcoNa9gmFsljW2A+ISqCH\nNvGIyOerAhc6Bc5YvBlTBKSyGmRRYM5HXLZOnyh4m4WMagDEOolKZbueG8moiKgkdmnRcERSw8x3\nOs8WAufpfWQ0v/YUXZ8JRfJziCziivrTXO0yA+MyHpw70WVJ/MCcCehUNUz50R/taxWzH+8PCOKI\nuCDa41FdFcdly9hxdSuDC7ygz/YP9x9F/ahKxhoXAIJAMWJn6fau+9iHCIlucHrQnobVi+7c25w+\ntML1b8M0kc7rjDj3t77Sz5H2HAJkVINZen3t9Fqs29WG257fVLB553O3N36VgORiTzb5ZZRRRvfR\nGzzL23d5IRBgcEJGXBFL5lmgdK4N4tnth9M+rv3cKQNx/pI/2dfSDPd7D49rY7LkSmrzeBYI5tre\n5lmg77i2/+4sTgJoBtCR1Zgn3Va/cNeJRtDpfFAwbbtnJppbUkxb0Te2t2DmWacwS7K84Ima8exq\nnSi2QKlwn7PH7CdXTQIAzKobgVMHRiGIBG9ub8GkaktVnxQRtbxuxXuuE/+KiIhrpo/2te9Mra3C\nT66uRyZvuLKEXPEjTzaVvuxGFff43vilMbj5F02+ay2fX48/7/wE540dZgshHj6WRUwR8eIHB6xT\n1RBOECcKQaKUPMJKqxqz73H5/Hq79YjCe/+RgouH1/bMKepIX+A6cxpIwXmBFRPvfdyGL44bhvOX\n/AlTa6uweNaZuGzZW4grYqjEn/OzUVJ/5PVm3HbJGa7Yvf+KCfbpPHfNmGC2WLDWHg8ZTUdeMzAw\nLqMzV+hXZenBTK9FZVz2Cbau3nSw676KWHJnNJ35t6+ZPrpo5VB/QEwSmOMdV8RQHEbvn9UaViEJ\ngWNP4y7YvcgdV+t2teFYRvXFpZXUIGjpsFoEvdebf26NT1yatVmw+qkFZHLu+zQNIKaIdhsQTyQ1\nzHzHFRFZVQ+dVOeJ2iYiErd3+uF5da4x+PPOTzD19CE+vvhN0wHf3+3PPAvwY7Yqobg4dcviGZy4\n0pjx6IQsi5BMExFRwNTTh2DF2j1MPSnTNEOLERerLgzD6UF7GifXPjBnAmKyO4Hn3etEZbHgFNEF\n07A01F7762GmGKE3bjtVjel4cyyjAiieMGS92BRL0HV3k19GGWV0H6XzLHtvxONaLWdydfu6w7NA\n6VwbxLMjByc8hgR1uPelj1zXD821kmDzbCqr4dcf7Gfy7Dk1lQDHXexYRu0TngX6hmvLyZESEI+I\niCn800SWqCgLAieYANM+kWct7Es+/xnuovaKa2Y4ojXe0jEWirnVUOE+ZykWgSWsN7QigtsuOQOV\nCQWPvbEb63Z19Qyuv+NC5sa7U9X8J/7zG7ib74qoBHikc5jiR1OqEZUYApvET1I8T/RERMKkUZV4\n8u2uvri4ImHtzlZMPX2IvalN9tMXzSCLY+7vBLz0zK4fiR+/us3+Om2pokSW0QysWLvHFXcr1u5x\nCcDSF0pV0xGVJWZMHMuoeOyN3WgYVWVff8ywpH09lnBqh8NFx/5shbkRHE40r2/r2mBTnYQZZ53C\nFXq6dvpoACT02uMhEZGw6MUm/PvlZ2Hlhr246cKxXC5pS6m+ypH39x7F6k0HuSf53mvx/nYQN/UX\n8FpaGqdUA0BRDgu6fyC4KoTGHS9J3Klqhc8gueLqgTXb8P3/53O+6rN4REIy4POoDgc03mbhiYUN\n3Picf24NvvnM+1jWeDYGRNgWpmHmO53T0MkTJWb8etBGj8fdQysiruqIh+fV2ZVb9J5WrN3DPGzo\nzzwL8GP22um1Lk5lJdEszsu7WvpY9sXpnA5VN4ryh2GYzNPRGCOBpmp6YMyE4XTenkYg8CV56XOT\nXj+VdcdRqiDu7o3zBeeOxkWfH+5LtmRVHVFFxJJfb7PH/m/HMogroiuOY7KIH/6PFVPFOLSYTbUX\nPd3kl1FGGd1DqTwrEATuDSgo1w6Kyb3Cs4BVuVEK1wbxrPdALa8bOHzcfZoSlmsXThsdimebW1J4\nYeM+XF43gsm1vc2zQN9xbZmlS0A6Z4nr8DaEXusjRWJPMK+qI+ooC2K1xQwfGA21qAErI8jS0IiG\nKD0SBIJkxBLZJASoSio+ccv2dN718vbsdVPw7p52vHTLebj9hc1YMmeC7/MnIiI0XfBlRZv2HXFd\nn56Md8c+VZFExBW3/akiCsh4rJclQbBFiZwk1XI8y53XqoTiOoF+5PVmvPzhIWy7Z2aBmPrvi2aP\nKkcCxn1QTEZrR87lVhP1VIUUi1H6Qvnsn/fi+i/WMjPluz9JuU76zqmpRMvxLJbOq8Petk4MK4jC\ndl1DAGD4SwELc0NJfcmcCVAkwVc58sjrzXhozkTumhEEEnrt8UBty2jCilWiSF8CqY4F4LZla+3I\nhWqPC3pxjSsil5v6C4KSF4ZRXFS82AlN0NjTKjlFYJ/iSGKXrZ13s9DemStYfVu90BHJaqXSDIOf\nSHAI+vI2C5FC6xYr0ZmMSK6kMsvuNMx8C4SAleejnOmF08bY27rF45C2VM7FRVUJBTevbPIJ0HkP\nG/o7zwLF27DoeNz/6jb822Wf88XVirV7XH+PlRASBMDUTFw5uRrHM3luTAHg2it65+3ZP1u6X7yY\nCcPpQZWqV/10gyteX/vrYVcp+s7WDtfnSUYkdpxHRdzwjLvV+DvPb8by+fU+S8hZE0/FD/7xc67x\nNGE5y02trSrKod21bu/JJr+MMsroPkrlWYDXOurhWgKYpomUyt9LAOF59pyaShAg8PlcjGuDeLa9\n0/1OtmxeHZbMmYjbnu9qWRUEhOLauCKG4lkAWHTRWO9ZNQzDxJihCXz3y2f0Ks/SMeoLri3X+ZUA\ngViaI/dfMQFTa6sgCcS2GY0rosv6KBbgKEFLo3IFy8ecZv17/5GM/TdNdFnxbrtnJu6bPd4OJCdo\nIHmR1Qxs3GMt2u33zsSjV03Cxj3tyHoscFmgyY/rV2zEuDtfwfUrNqI9nbdfSpwihNR6eG+bJaxH\nKzB+/5fD9osF/fymCaxYu8d13yvW7rFbb5z31JnT7ASRc6zppob1gkTFj0wTOJq2MqcCIRiSjIAQ\ny1qTJn2cFpzb752JgTGZeS2REKRVHYtXb8Xpd7yMGQ+/aZ/ed2TzWLJmG6L9eAMkF7QVFq/eijO+\n/woWr96KeZOrA0+Sg8b9eFbDkjkTsO2emVg860ys2rAXGc1x8q1yYtRRuhdVRCxZsw1X1I9E3jCZ\nMTFmWAWSEQl/+Oiwff2BMRkHjqZx2X++g5c+PGQLclUlrXm957cfYfGsM+3P5pwbSuqpnI5bCuKD\nNHZvf2EzFl08Dum8zl0z3Vl7PMQk66FIE1aEWNVOznFeOs9yk2KR/9jhSdw3ezz3JN8JqjXD4qkg\nbuovCBrvMBxGNyaLLhqLNbd+ETt/dCkeu7oeMVr9xhl7QohdxprRdGZsmibs8XduFv7PL5uQUQ3c\n8HOLN7/5zPtIFTRmgp4bXitf3vrZ156xE500xl/8YD92tnYC6Eoqe3lQD5FMAqx1ec9vP4JpgsmZ\nXng5dPn8etvJh8chcUVycRHvfg8cyXDXcn9FUMw6x+PlDw9h5Ya9GBy3WvJymoF1Oz/BvCnVTC5w\nIiIKtrViUEzJArHtFWks1o+qhCwQV8vdtntmYsZZp2BHSwd3/xKG0zN59p6m5XjOx7VTTx+CJb/b\nhvtmj8f2e2cirsjI5jU7jpxC1c44z6gGt6KRrnc6FosuHoebf9GE85f8Caff8TLOX/In3PyLJtxz\n+fguDg1A0DOQOfchxqiMMsooHaXwLE1A8/ZdTkQki2sTAXup7vDs4llnYsXaPZAE0mOu5fFsWtWx\ncv3HLq69ZVUTANO+/qNXTcL3f73F9czmcS3dU1DweHZqbZVdZeLk2ltWNWH+uTW9zrNhxqinKFv5\nhkCQlW9nTsdT7/gtX6mAqlM3gzplOGEYJjqyeXTkNFdVxbLGOiQUCVFFtEv9O1UNRzzWtEfSqq+k\nqjKhIO6xE9V1g9uXV8zSMZXTfHZNzrIllt3UU9c04POnDERa1fGvv/rQVop2jtPY4UmuTZXTZeSB\nOROsTTYB0gzLrogkQDfhKqFifeZFF43FlZOr3SJ3jXUYkogAgMuve/u9MwNtXI8zLDT/cvAYHntz\nd0FwiFnufcJtzwzD9NmJee13vVBVjTnuiijga0+/h8WzzrQzx15LxyAHC2p/Sq2gF886MzAm/uuP\nO3Dt9FocOJqx5+KTjhxWbdjLdCFZtX6vK+Nuu3REZftzVSUjXOtQQzeZn70qoSCnG2jvDLf2gpDO\naYjIAv52LIfPDIigvdMS17IFhwviWlf9dAPTlu2TVA6D4zIqonJggiOVzeNJhjW11ZZCmNxUwAmP\nWcDSvWGN9+C4gqgkhLKl1TQD7Rm34xflZROmLWzmHftHXmvGtefVIq6IgTZ9gkBc8b541plYvHqr\nj4O+8cVaqIbJtAq/ZvpoJBxrkbd+hlREsOiXTfjOjM+6ToKoUO/qTQfteGfpNIUpOe3I5vGzt3cz\n19YQhjuS08bYO74g4PLp8Uze5qKYJOAYw0rwwNE0/un/X+e6hwCeBfqBLSovZisTCiR0Pcuqq+LY\ncdiqQKQ6QpJAsO2eL2Nfe8YXj057wlROw1vbW3Du6UMhCmCu8Wun10IQgLxuwDRhjzUhgFyoUHXG\n9ayJp+K2S85wzblz/xKG061YyLlE8h6YMwERUcC/v/SR5z5n4qqfrrdjFwC+++Uz7HFjOcc9OHci\nTNPEbc9v9sW2k+OpRSUA7trd25ZGMioirkhc7jZMkxu/rAqmMGPEwAmPWSfKVr59j7KVb3jw4rZU\nnt1+70y0deSYz34X12Y1vLWjBdPHDmU+u7vLswBwed2puPOyz3nERMNzLeuZSzXzLj97pL0XoPfq\n5doxQxMubmW6dM6rw6oNwXtpyrO0hZbHte2duV7lWaBHXBsqZsttNSUgreowTZPZ86XpBtcpw/U3\nCv1S37/ssy7NjohAoBQCiG4Ak8Td2hJGGI0io3H68s4rrpFQrGyJVZJed9pgrFi7B1fUj8SyxjpU\nJiK4zFMe9uHiS7jlac7PuWTNNjx0ZR2yeR2KJKAqqdhjIAoE7Z0qThkUK/qZZ5x1Cm71uimsbMLj\nCxoAwNW6EGTjapgmVq33j+WCaaOxdN5A+zS6P0IoZKbThfaiYlVNAKABzHE/0mkJLI0dlrR/1tmq\nAAQLgVYUiItmn6uSkcD2h2WvNeOmC8ZixsNv2nNBrVS9Tk7fWtmEx66udzlh0BJ/oOuUO80pkUzn\nNIBwdEXOq0VMCr/2gmCYQDZvICJb9q6sfs9rpo/2udUsbaxDTBF8LW48CIRwdI3A5ab+BB7XbT98\nHGOHDwil85LVDZ9FKb130zS5+h3LXmvGTReODWWD7ayeYOlsLHutGV8/rxYiZz5EYsVBl2YPf/3U\nDklAEYk9Jqmchqff2Y2XPzxU1K0mTMlpTBK5a4v3LPO2f9HxhQkun1KIAoFqsMXurpk+2qfh1Z95\nFggWo87phs2p6ZzuS6LRky/niSDlAmf7Y1wRcfPKJlw6/hT8aPZ4bv95VBZxx68+xDfPH4OKqIzD\nx3P2ptMb1zd+aQxuf2Ezd/8ShtMFgWCgx2Z6b1sn7nnpr1g860x7w35OTSUyqo6fXFWPp9dasfuH\nRf+A7ziSHiznuLgiIhmRsLSxzreRd3I8/TwpbtucZRFNhVx5CNoPsMq9w4xRGWWUUTpK5dlOjs6G\nj2sjFte+e+dFvcKzAHDrRePsymWg+1wrCASDY7KPZx/6ww6s29XO5Nr7Zo/HQ7/fhtaOHO65/CzX\n853HtY1TqgP30pTTKqIyl2tTWQ0vbT7UqzwL9B3X9t/d8EmAuCKCEIK7Vm9lvsw7wduQxhUR3/iH\n0RhaEcX1K9zWUJWC4DqJ8ep6PHZ1fVFhNOd1eqqRENSP7xW3pJ9tgEO0aPE/fh5X1I/0/Q2WaCoV\nI/IvDg3xiOTKKh48mrWIZ26dz32B9Zl5Iqt0XpzfY2m8UAKMB4gpJmQx6GTohIMVR7yqJoqoLDLH\n/cG5dRbp5TSX5ojzpaWYECbgTlQExQS9lrPUjr64suY16fFrj0nuuZEkAaJucOaZIBqwZtKqHnrt\nBcHS0tFw8y+a8MzXJ3P7PeOy6LqXt3e04uaVTaHmD/BrYTh56mTohecJk80465TQnz0oUWCaJle/\ng26ggmLTMEx7/OlmIZX1a0A8f8MX7HYQ3nw4wVs/N14wxpe4mDXxVCy6eJydyIkXlOfD9FOzIEkC\nkiK7pYv3LOP9bJDrjVPv59nrpnDXXNBa7o8IEtOLK12cOqoyxo2rxau3+rjACbrhXr3pIB6eV4fv\nc2IqzegNp89Vby98sedkGE7XNANHGRVA3/iH0RgzLGk/L6iO1P2vbrNjl16Pgucc9/iCBlTGlFBx\nEZdFX4L5gTkT8P0XP8Th4zlbYDDOSRAH7QdYCDNGZZTRk+qcv4Nqk15Fb/BsGJMCyrUD4zJ++D/s\nd77u8Ow5NZWoroqXxLW8qomnFjbg6ys2+rg2p2nIaQYenFuHtOoXSudx7RMLGkI/f1lce/8VE/DU\nO7sxu35kr/JsmDHqKcrJkRKQVnUQkKInYgDfPrEzp2FSdaX/dG5Vk1W2VAhA1qlcd4IizKknD6zk\nB0vc0kkWVAV5aEUEF3x2OGKy6PP/FsAWIxIKY+hsMYorElP8Z2ptFVI5DQmPlanEeJHhjUFa1QHT\nLaxrmCbbpaHEsTzRCDrd5VUO8Ma9I5vH/VdMQCIiYvu9M5mkGXasJEmAbBiBMUGvRXvEjcKc8YQI\n06puX4M3L0FJg2LuG71ByE4nj46sxhXLzeYN38Pm0vGnYPWmg6EqP4Iy8idD7PKSuzdeMDb0Zw+a\nTwDMsZ9VN8LeKOmawY1NZ7UHBYs3xwyrKPyewJ0PE6Z9P0Gc5bXhW73poC0Mff2KjYFuNVJIjRme\nFbDTkcr+2YAkukAIk08N03RxURi+6M9x6kTQgYSTU1+6eRpGVSWYcVVMODuuiHh4Xh1uXdUUuMaD\nnuHeaqdicxBmjjKajm95qzRXWdV8nTkN2+6ZaXPtg3Pr0NqRs57hJnzVfEHJGq+LFy9RzDthfbHJ\nOlWlAoNB4O0HWDiZ9whllHEyoTd4NoxJAeXa3uRZ3jMzLNcG8Sz9OS/X3vSLJixrrENVIuK7Po9r\no4rokjoIOpArVs3SmzwL9B3X9u+jl34ORSCBAjIsMU8v4oro2+QCXYI3zp/z/szBoxmcUxNOFDJI\nkLEYqGBmMXHLGQ+/aYuUxuWCAOLF43D7C5uxs7XTJ/ST0QwIHjEiQSDQTODxBQ3Yfu9MPL6gAVWF\n/nbePSQU0Se+oxnwiR+909yKpY0e4aXGOsQkwSY1+r2oLML06DyahqUOTa0OvQJO/d0OFeiZsjNv\n3CuiEl78YD/Sql4QJ5Z92WR62h5mrDQDUAvaDd6YUE3Y1wIK3uuyiAfnTkRUErCMM6/FwIrdw8dz\ntosLb830hiArHVv6gHrxgwNcsVyv4PHtL2zGjV8aAyBcm0QQT/G4qT+BN950nsIgaD4VwS9U3Dil\nGomIaMedxonNnGEyPwOLNxMFG9+g+XDORUz2C57R6iyagPaOSXNLyk56OttUnKLJITRsretLApcz\nvfByaNc9EURkgcmnXre0k5lbvQjiCGcsfuWRtWjpyPriKm/CxwWKZxzSqo73P27HT66qD4ypYs9w\nSRIs3SJCIHLmkcZlGE7nWTcnoxLiiuji2oyqu57z3jja157mrn0vL96y8gO7ZdQJesLqFJUfWhHF\nUwsb7M+WCEgu8+I3wtm4c9dtCHfAMsooIzx6g2cbp/j3XTyu7S2erXBU3feUa4N4lu5teoNr97al\nQ/EsEMy1vc2zQN9xbblypAToZrCVUrGSaaCgWwK2lZQz88U6wVMkgZ2lZMRRTyxcKXiVA/TzscrF\nMpqOjR+3Y8ZZp+DdPe145PVm3P5lt3jgTxc0IK1qSGV1xBUJbSnVEkaTJftU0nk6mckbzHtYOG20\n7+WEZe91ed2pOPf0Ia65UkQBed3wVRCkVX4f4rN/3osF59b4MtAh3zdOKIq1SLHAG/dZdSMwb3J1\nIAkZsNaIc6wIAXOs4hGr/J4VEwKInShwzsWPX/0rHpw7EbImMOe1mFBnoP1owJoRBc4JQTfTzWlV\nt19GvvP8ZhACe6w6cxoIARSZndAaU9B64Z3kOxHEUzxu6k8QBHa5paYbSKsoymFAMAeKhCAe6Wpd\nOp7J4zdNB/DqlsNdrTOFU20WX7HGn8Wbm++6BO2dKk6rjHHngziSI5m8zrUGfOqd3b5qPKeoJd2I\nlFLhlNcNKGK4tRVUhZXOsfV0ZtWNcP0Nlo0sjy/6O3gxKwh+Tj14NIO0aona0biKSqKLCxSBQPfo\n58sCQX1NJZ5euxs3XjCGG1Pd6eUOmkcgHKfzTvNSOQ3tKdVt/S4JrqS69/p/O5bxWVB2V08n6ISV\nfragk0bqKOiN32un1yLJ4J6gdVvRTV2qMsoog49SeVYAwcsfHvLtu3hcG7SX6q5mRqlcG1Q1Qffo\npXNtHe596SPX5w46kAtTzdJbPAv0HdeWkyMlICpbDjK8l2heMsGJmCRC1Q3uC5p9LVHw/czQgmNB\nmCRMXBFD9dWxEPQCCfhFCOlp7pmnDrItfako0I//eQJGDI4hndMRU0Tc+WtLvIiO3cO/3c59UYuK\nAuZNrvZ9jrRqEYZzIbCSALdeNA43PPM+U90+73mReef2LzFFl2SBoHFKNZ4u9DhWRGUQELzw/v5A\noaH+gmItUizwxj0ZlfDGtpZAEgoSqPKC6srcwYmJdE5Dp6ph8eqteGDOBBzP5HH4eA5pVcc3OfMa\nLTIerNilrUFxAdw1QwixTwiKrb0gxCQRgkjwx42HXeT+83V7cPXUGnRk8lzv9+aWlJ0ljxZ5CKRV\nvtgrrZTpz+XeUVnkjndYx7WYJDLjOCZZgrYd2TzSqm4JFBOCq6fW4CuFzQVgbSR4sWl4d1Jg86Yk\nEAyriATOB9DVOkJ51KnLYbWXWUmPATHZjpu9bWmXOn1gK2EIzREAyBtm6LUVlERnCdA+OHci4oro\naqFsnFKNF97fjy/UDinKF/0dQTFr6KY/FhvrYBim7znYmbPcxQRCmInoypiCBdNGB8aUyOV9/+cu\ndhgShtN5ewaJWPHPa8PkXf/X/zLVx9GZvBG65SvohNVZjcWDQMAVYWSBt277u7ZTGWWcbOgNnr16\nag1SWQ2GbkI3TBAAcUYyozKm9BrPAqVzLY9nm1s6MG9KNZKKVDLXisSSjnAi6EAuiGt7m2eBvuPa\ncnKkREQK5dje4IwUynucX4szNjY0WJMRCY9dXY9kVEIqawlcOvu5WIq8xRaWE6VUjgS9QDp/xqlY\n3JHN48UP9uNr5422F+/LHx5Ca4clfrZkzTbcc/n4XlOA9y64uCJhWWOdyyKLJ36UiEgwdNNFMi9s\n3I/559b4FLBlSYDaaWBW3QicVhlHc4tlDdbakcPsSSP79QsmUDxTzQJv3OefW4P6UZWBZNedGI0r\nUmDmnSag7ps9HhFRwMoNe7F0Xh2XjIPK95zwxi5F0JoB2O4b3U0ySJKAdE7DhZ8b7iJ3KhAIAFHJ\nnxilVmW0TaKYMncQT/G4qT8hKI6AcJUjQTxmFGznWHNH4y4oNk2YvvFnXU8RBWQ0PXA+nBUZQTF4\nywVjcMFnrbgZPiCC22acgdaOnE8c2cuDVMMpDLqztool0b2OAglFxItNB1z3pmoGXt1yGHet/otr\njPt78o6FYjHr49T11obb6cZVd/fv7A09q5VJkUV05iyXohu+WMuPKYl/2ukFbYmFB30JAAAgAElE\nQVT1/h3KEWE4XRAIc0+jiF0nl7z59MbRfzbWYcSguF+wPq4wPycrURx0whqGQxWOI4bCSUqXst8q\no4wywqM3eXZZYx13TVOuDXx2d4NngdK5lsezZwwf0Gtc++hVk5iuYLwDuSCu7W2eBfqOa0nYU7f/\nzeD5a6eyeevEnQC6YXZl2gQCmIBudn0tLovcEv9UTsN1T7/HVGOnmTnDNH3e0Tt/NBMHjmR9J9sj\nBkdd/twAoOkG2jsZXtAJBVIflHnqhoEDR7IYFJfx1DuWJ/jY4UnsbUvjod9vx+pNB/HunRcipxl+\nf/K4wlQzZo0B9c9GQQ/A9fOGiXTe6juktsvXr9jIPAVl+XXHJJH575+9vdtXUfDwvDoM8fiiM3DC\nPeE7svnAMWAhaNyzqo5ogJUsjYMwMQpY1SPtaYZnfVzB155+D4/Pb4AJ055TOifdvacwCFozhKBb\n9xUE3pw8Nr8e31ixEcvn1+Nnb1triJL/mi2HsHDaaEz44e/suQiq/rGsidk8FZGEoPajEx6zQHAc\nmSZK5rBUNo/rVmzE4lln+uz+KBcLADc2o4oYOP72dQpVdYeOZjA4oTDnw8l9vPs+dWAU6bzOdKup\nropjx2ErRq6ZPhoJRXLxYBjrZ4ru8gWLQ+kGzfs9kRB8zfPcW3TRWFw5uRq3OtZcD9fVpxK3PY1Z\nQgiTU7fdMxNX/XS9K65SWQ3vf9yOx97cjcfn17sqflI5DVFRQHtatfYKAXsRFodYG0j/POq6gXRe\nZ+5fwnB6mD1NELyxwovBsPfEc3X4y8FjWPjUe6E4NCi2fePXzedeASc8Zp3oiZNKGX2PfuZWc8L3\nB73Nswufes/iKg/XdmTzdqV/b/EsUBrXlsqzQDiufXheHY6m86HuKYhrv75iY6/ybJgxYiBUzJYr\nR0pAPCIhn9eR0QwcTeftPvRBcRkxSUA8Ek5dP0zvLCsb152MWVYzmH1Z540b1i3r0bCgn+2mC8fa\nPe87f3QpLnroDZuo/v23H+Guf/x86CxhUEaSEOJ3ixCIS7tE57Qv0Swtq4LA++8YgHlTqrFqfVc2\nOpXVsHZnq9Ve0s9PhYqd7rIQNO7Xr9gYSMTdzeryMsdvbG8pnHh3vdjR348TBM5rTxG0ZkzT7LVs\nNbcMsfD1YroRxfo4AUAk4PJUMV2W/oCgOCKElMxh8cJYP/J6s0/HY1mjFUuGYTJjc9vh4xgzrCJU\nIi6uWKdPL2zcj8bJ1ehUdd98hLnvr59XG+hWM+P/svfuYXJU16Hvb1dVP2ckhB5gIaQIMaAYZBiQ\nMJHtOJg4Fji5wscOsXRjg+0TyeE6F/kQOMQHTqI4fsQHH2Lh4ziBWA7CCSIYn2PdxIpCYohRMjFI\neJBFbEAMsngoSJph0PT0s6r2/aO7aqqf6hn19HP9vq+/qd5V+1F7r72qes9ea33lB76MGEpV9OFU\nV7+c4j9bpVTbhVXpnG2X6+MNVy5j/+GxrviP+6l2nlXSqamswxc/+Db6IxYP73+5aAeNZaiyfxrE\nQyaJjM3+n41x9cqzqs7xsFndpKwSpmn4ppIz2YU6E8ffQYKyUmv3Ur3+dCr9h9VQ8J0fFZug1ZrD\ntWS7FNk5IgjN4XT1bNg0yhZQnjo8VqZrY5ZJMucQMVXD9Cycnq49XT0L9enahf0RrvzCP03lqeG3\nrJaubbSehdnTtbI4chrkI1NoLFP5/02e3xfGMMqd+dSinlBElX7U1treVUrMMlj9c/OLtu7nJ+3s\nPKg9+/5E4N4OHUsU3eeuZ15jYFFf4QcOzIuHphZsKrSrmj2fqZTvDboWpmmwoK/EN0qNHT2VsCyD\neRGLj73zPPoilr+K6jkLbXfqMZEqpVa/n0oRh6rIaLW+SjsuQy+eYO35C/35FA+Z+e/V2teAca1E\nrTnjOG7dc+9U1Jr/tfxGJNJ2XfbykNdHp6unWkm9ZigzxfPr4vnr8B60E+mcL3elsunpq3cOLDpl\n/3sE/W8E7Zbn94WJmOUON6v5SXG1rioXh44l/OPTNUeZrbkFlXVRxFCs/rn5deuLdqaWzNq6ihPB\nglxp4O8Pvl5UXt5XTLnJqVVwFJhzq7+LRGag96tRj05vZHjFU+nHeupI5pyK/2Hduv5ijk9k6tKh\n06GWfyNBEBrH6ehZ73le2S9Xsa41DIVVcIrdDD0Lp9a1jQ5jW628l8eSRdfVqqOarv3iB99GPGw2\nXAfOlq4Vs5o6qLadK5mxiYQMxhJZJrNOkS31/FObWPjUuy2odLtRPGySs11yge1dIUMRsoyyuhPp\nHNsrbPf6xLvOq8sx30ywbRfHdXkzbbNl57BvFx9UVNs2DGIasPpz+VXJWttbXa255aFhbrpqwL8H\nzzlRM23SXVeTzOad5AWj1cTD1qm2q7d8C+JMqNXvv3nfD2ub5Eyzr6qZ8HjbIKezXfB0qTVnYtOY\ne6cinbU5WZgjwXkxN2pxYjLLor6wP4eC58+IWmRdXdfD13HdmeqptpBZx3Wr9ncq65y2DqtkzuVF\nfjk+keG+G9cQD5tVzcvqManx7kMpVXU+aa3LTSIrbDM1TMUbkxkclyK58Pw5vX4y48tIpE7/Iu3A\naejWUlpuolBLZmvJwIrPfI8PDJ7DHb/61iJfMds2DNIfsYr+o5nI2JyYyLBr+FU+dfXAab+L1EM9\nYzRDs5KKVNOP86IW41X0YqnM1zINPd0fMNWY7vZw2kBmg4hZTXsiZjXFnI6etQzFT//oGl4bL9ZV\nlcz7PV279MwYY5Ozr2fh1Lq2kXoWqujagh+W0n8SVnu3qKVrXUc3XM/CtHWtmNXMNmHTYLJKiMJP\n/OIK+iP1CUG924IqOT0N2re9Np4O2IIV1x0/zZCOM8GyDAyt+PeXRv0tVums4x97E/3b+1/x89Ra\nkazlnKiZXuCNgnLy4nxbpjEtO/5Oo1q/JzL2Kb1CT7evav03fLrbBU+XWnNmMmPXPffqqitsloWG\n1uTNIEIhs2gOJdI2Tx8Z490XnkWkzh/ltTysd8I272TWqdrf9TrerYVnznXfDWuIhc28o+JC5Jf8\ny4jZkP/SJAtOdqvNJwPKQtZV2mY6kc7x5Etj/OIFi3y58Zyx3f3hwSIZ6SS6SbfWklmoIgNp2z/n\n6qkdTImMjakoMzmNh02Wzo9zz/cPsW7VYvYcPHpa7yL1UM8YNXKrc8g0KupHwzT496NvVtSLpTT6\nP6z1MN3t4YIgTJ/T0bNXLJ/PK2+k+Mo/Ps8XP/g2li2I8/qbaWJhs6qu9f5JNtt6Fk6taxttUlJN\n145NZurSs9A9ulYWR04DyzKIAxuvXFb8H54qnuWrMdNtQdMxWWiFwHr1/vk/v8TQyD72fPrdvlIZ\niPTz+skMew4ezcfi/ruf+Kue1X4AV/OXMZnJAfVFrGgUpf5Muplq/W4q6lLE0+mreNgs8/ng/Qe/\nGfIapNacma65UC1sV/s7VLxwbf6urrBVNIc81q5YwOqfm193X8Qskw1XLiv2OL6xc7Z51+rvRsiE\nZRn0Y5GyHT7yFz+sOObVZHM6C3Yxy8R2K/s+supc6IL8PHnHwKIiuTn6ZtrXr54n/unISLvQLbq1\nlsxaRuUIVC+PTbJ2xQK+fP2lzIlYLJoTIZlxSOcc5kSsiqEYRxNZrlg+n689dojbr/l5bn34mRm/\ni9TLqcaokVudUzmnon78+LvOq1svNmLuCoLQfpyunj0zHuJ//sYgE+lc3q9Y1Koa9nY0kWXPwaN8\naPXSpuhZqK1rG21SUk3Xrh9cwiV/+A/+dbXeLbpF14pZTR3U2oaYydq+cx5vi5XnnGc625lnsAWT\nTNYm5+qyLVchQ5XV3ejtV/USrPdbv3UlK++svN1Ka07pBTmRsXnh9ZOcv2iOv4L54vEJzl80h3io\n8dtiZ4GWb0GcCdX6/cx4hHjYZH483LC+93ZD/afLz2XJmTGOjCb5yj8+z+snM02R1yC15oxd2MZZ\nz9w7FbW2IRqqMVsnT0NPtYXM1tJ11gxMmapRq69L/0NVjyf6SiTSOY5NpFk0J+rr+3zdmrhlEK5D\nfibSOfoiVk0TtGbPlzaj5SYKtWQ2p6moUy84ay6vjqf8F9L33v3P/gtvJT3ruC6JtM1ExuY7ASe/\np/Mu0ihm8k5TiVr68ZWxVF16sXSX7Uzn7izTcpkNImY17YmY1RTTDD0LU7o257oAJNLdpWehtq79\nzft+WNf7ZwfoWjGrqYZS6hpgG2ACf6G1/uOZlpV1NTd96+mKYeYi0yhnJtuCTMPA0S7eP6sNpTCU\nqiiwqSrbr/I+R2bv5Tm47SuVdao6PvLijNda9YyHTa7/s387LZt/YfrU6vdG2xAGV8LPnhvh0++9\nkLs/PMirb6T430+/wifetWJW5TVIrTkTtcy6596p8JyBVnMI1oitk43SU62ilq7L+xxpjEyksm6V\nMV/RsP/SxCMWuXGqhicN11FGzDKryk0q67B1/cUSHaPF1JLZkKkq6tTnPnctW3c9y7aNg/SHrVP6\nxEhlXdK2S8g0+Pi7zqsqU62Y443a6lxLP9arF8VBqiB0J83QszCla+Nhsyv1LNTStXbd75/domt7\nbnFEKWUCXwN+BXgFeEoptUtr/e+1c1amVpi52SZtu7xwLL8q6vHc6ye54Ky5ZdFe4mGrzPwnHxp1\ndtsZD01NlC9ff0lVz9H1KKdWmQb1Os3s99IIFkdGk9zy0DCvn8z4stIsas2ZZNape+6dCkNV96gO\nxXNopqGKW6mnGkEtXddIHWYo+ODqcyuOxUwiPVViMmMzcFb/aY2HZRkYjltRbt5MZfMvfg0IZy3M\nnFoyq21d+SU0a3PvDauL5KqWjjUUmAakcy59kUhHz/Fq1NKP9erFRs1dQRDai2boWZjStZ3+LlWL\narpWKcXWXc/W9f7ZLbq280dz+rwdOKS1HgFQSu0ErgNmtDjSyh/shoJFc6J88oH9FX9UFV1rKBb0\nRfyoC8ms0xRHd8FQkPGwyUTa5osffJu/Hc2LM24odcr+6hZbtk6j2f1uWQam6zI2mQHgf/7GIC+P\nJYmGjCZu4qw9Z6Yz906F5wy00ryAxoRT7fSFxVr93VAdpiAaMorGIih3jfgvTTxsFoU495jueFST\nmzlRK69vGxRyV5gZtWQ2EqquU6e1+6wglyHT6Pg5Xo1a+nE6elEcpApC99EUPQu+ru1WPQvVdW3E\nNKb1/tkNurbnfI4opX4duEZr/VuF7x8FrtRa/07JdZuBzQDLli1b/bOf/axiebbtMpbMlv33opF+\nGKph2y6JrF3mR6A/XO64rdW4rmYinUMpUErNaEWxA2zZTsWs/rSvV2anSyv63ZOXNwKyfWY8xJxo\nqC0iVzR67jXSbrRa+TPUU20hs83Sdc2Qu4l0jkPHJlhyZrzYQe4MnhuzLTcdzKzJbSNkNmU3xn9N\nUF7PnRdr2bvIbNMjct5ymQ0iPkfak17yOVKP3DZDz8KUrjUMRSrrdKWehZ7QtXXJbC8ujlwPrCtZ\nHHm71vr/rZbnVA6sWilMnSTIrqtJ5pwZ71xp5UJUg2i586qZ0Kp+P115mW06ae7BjNvbNjLbrP6e\nbbnz5tP+n42x9vyFzI2FOkJ+Ooy2cG5ZTWYbqVOD8prLOWRd3TE6SSiiLWTWQxZH2pNeWhwJUktu\nm6FnYUrXRk2jo979hCLEIWsVXgGWBr6fC7x2OgW2cgtRJ21fOt0Qjd1iy9ZptKrf2z2kZyfNPei8\n9pbSrPbPttx58+ldFywSPdblVJPZRurUoLxGwpbvFLAT57ggCMJ0aYaehWJd28nvUsKpab9fHLPP\nU8AFSqnzgFeBDcD/3domCfXS6T/wOhXpd0FoHDKfBJEBQRCmy0x29LTZbpOmInpWmAk9tziitbaV\nUr8D7CEfyne71vrZFjdLEARBEARBEARBEIQW0XOLIwBa6+8B32t1OwRBEARBEARBEGaD6e426eWd\nJoIAIEbOgiAIgiAIgiAIgiD0NLI4IgiCIAiCIAiCIAhCTyOLI4IgCIIgCIIgCIIg9DRKa93qNrQ9\nSqnjwCRwotVtaVMWIn1TC69/Tmitr2lGhQWZ/dksVtGpYy7tnh7dJLP10Kny0Wg6vR+aIrenkNlO\n7UNpd3Np6vtBnXq2U/uyEci9108nvB904nh2YpuhM9pdl8zK4kidKKX2aa3XtLod7Yj0TW26sX86\n9Z6k3UItpJ/zSD+cPp3ah9Lu5tKO7W7HNjULuffuuvdOvKdObDN0brsrIWY1giAIgiAIgiAIgiD0\nNLI4IgiCIAiCIAiCIAhCTyOLI/Vzb6sb0MZI39SmG/unU+9J2i3UQvo5j/TD6dOpfSjtbi7t2O52\nbFOzkHvvLjrxnjqxzdC57S5DfI4IgiAIgiAIgiAIgtDTyM4RQRAEQRAEQRAEQRB6GlkcEQRBEARB\nEARBEAShp5HFEUEQBEEQBEEQBEEQehpZHBEEQRAEQRAEQRAEoaeRxRFBEARBEARBEARBEHoaWRwR\nBEEQBEEQBEEQBKGnkcURQRAEQRAEQRAEQRB6GlkcEQRBEARBEARBEAShp5HFEUEQBEEQBEEQBEEQ\nehpZHBEEQRAEQRAEQRAEoaeRxRFBEARBEARBEARBEHoaWRwRBEEQBEEQBEEQBKGnkcURQRAEQRAE\nQRAEQRB6GlkcEQRBEARBEARBEAShp5HFEUEQBEEQBEEQBEEQehpZHKmDa665RgPykc/pfpqGyKx8\nGvRpGiKz8mngpymIzMqngZ+mIDIrnwZ+mobIrXwa9KkLWRypgxMnTrS6CYIwLURmhU5DZFboNERm\nhU5DZFboRERuhWYiiyOCIAiCIAiCIAiCIPQ0sjgiCIIgCIIgCIIgCEJPI4sjgiAIgiAIgiAIgiD0\nNLI4IgiCIAiCIAiCIAhCTyOLI4IgCIIgCIIgCIIg9DRWqxsgdC+27ZKyHfoiFpMZm5hlYlmyHicI\npchcEaohsiEInUc3z1vv3uJhk2Q2/zeTcwFwNcQjJums4x8nsw7xkAlAMucQCxlF+SwFGVcTC5mk\nclPpwbIsBW6h/GA92Vy+HldDNGTgOq5fVtbOlxELGzh2Pr0bx0MQhMYimkGYFWzbZSyZZfOO/Vx4\nx24279jPWDKLbbutbpogtBUyV4RqiGwIQufRzfPWu7dv7n2JV99I8829LzGWyJLM2Ywls2zasY9b\nHhr2jy+8Yzeb7t/HRDrH6GSG7U+MFOUzFYynbfa+cJyxyayfHizLUpB1NWnbLarngaHDpAvteeKF\nYziO65eVyOSv2753BMfOp3fjeAiC0HhkcUSYFVK2w5adwwyNjGK7mqGRUbbsHCZlO61umiC0FTJX\nhGqIbAhC59HN89a7t3WrFnP7IwdYt2oxk1mHRNrhtocPMDQyyk1XDfjH3v2/kcxx84Pl+bKuZsvO\nYdaev9AvdzJbXFbG1diuZjyZK6rnusEljCdz3PbwAdaev7CoLC993arFZArp3TgegiA0HjGrEWaF\nvojFU4fHitKeOjxGX0REThCCyFwRqiGyIQidRzfPW+/eBs7q9/96ePfsnQuydH68Yj6l8vnmxkJF\n6cGylMqXMScaKjo3NxZiTjTk5/fOBdO9/N06HoIgNB7ZOSLMCpMZmyuWzy9Ku2L5fCYzdotaJAjt\nicwVoRoiG4LQeXTzvPXu7dCxhP/35bEkL48l/Xv2zgXxzpfm88o7mcoVpQfLmszYnEzlyurx0rz8\nwbKC9XXzeAiC0HhkcUSYFWKWybYNg6xdsQDLUKxdsYBtGwaJWWarmyYIbYXMFaEaIhuC0Hl087z1\n7m3PwaN86UOXsOfgUfrCJv1Rk7uuv4S1Kxbw9ccP+cfe/Z8ZD3HPxvJ8YUOxbcMgQy+e8MvtCxeX\nFTEUlqGYFw8V1fPd4VeZFw9x1/WXMPTiiaKyvPQ9B48SKaR343gIgtB4lNa61W1oe9asWaP37dvX\n6mZ0HN3srX2GqGZVJDLbWbTxXBGZbTFtLBvtTFPkVmRWqMYM5m3HyKxEqxEKyPuB0GnUJbNicCfM\nGpZlMKfw8PFsRQVBKEfmilANkQ1B6Dy6ed4W31v+bzxSvNAQD/jz6K9wXJovXDg/xywvL17DN0g0\nXHLONPyyLHOqDDM8ld5t4yEIQmPpiGVTpVRUKfWkUuoZpdSzSqk/LKT/lVLqOaXUQaXUdqVUqJB+\nlVLqTaXUcOHz+4GyrinkOaSU+r1W3ZMgCIIgCIIgCIIgCO1Bp+wcyQBXa60ThQWQvUqp3cBfAR8p\nXPPXwG8BXy98f0Jr/WvBQpRSJvA14FeAV4CnlFK7tNb/3oybEARBEARBEARBEASh/eiInSM6T6Lw\nNVT4aK319wrnNPAkcO4pino7cEhrPaK1zgI7getmreGCIAiCIAiCIAiCILQ9HbE4AvldH0qpYeAY\n8KjW+oeBcyHgo8DfB7KsLZjh7FZKXVxIWwK8HLjmlUKaIAiCIAiCIAiCIAg9SscsjmitHa31IPnd\nIW9XSq0KnP5T4Ada6ycK358Gfk5rfSnwVeD/FNIreamtGK5HKbVZKbVPKbXv+PHjjbkJQZhFRGaF\nTkNkVug0RGaFTkNkVuhERG6FVtExiyMeWutx4HHgGgCl1B8Ai4BbAtec9MxwtNbfA0JKqYXkd4os\nDRR3LvBalXru1Vqv0VqvWbRo0WzcitDm2LbLRDqHqzUT6Ry27ba6STXpZpnttLEQ6qObZVYoplvm\nsMhsb9LJ8jtbMus4LsmMTSJt42pNOmsXfQ8eJzI2rqtx3fyx4071Z7KQL5O1SaRzOG6+XO9TqXw7\nUHewrETGzrcrW9yOZMYmWyW/q3W+XsclkbHLxjqdtTtqvLsF0bVCq+iIxRGl1CKl1LzCcQx4L/BT\npdRvAeuAjVprN3D9W5RSqnD8dvL3OQo8BVyglDpPKRUGNgC7mns3Qidg2y5jySybd+znwjt2s3nH\nfsaSWXlAtgAZC0HobGQOC52MyG85juMykbEZS2bZtGMfDwwdJl3op0079nHLQ8P+8YV37GbT/fuY\nSOcYncyw/YkRXn0jzeYd+7nloWGSWRsXzZsZm+17X2IskSWZs0nmKpf/xAvHSBTq3r53qqwL79jN\n9idG8u2anGpHMmdjKEhWyO+1b/velxidzHLsZKpsrE+mbdK209PjLQi9REcsjgCLgceUUgfIL3A8\nqrX+W+DPgLOBoZKQvb8OHFRKPQPcA2wo+G21gd8B9gA/Af5Ga/1ss29GaH9StsOWncMMjYxiu5qh\nkVG27BwmZTutblrPIWMhCJ2NzGGhkxH5LSeZcxhP5rjt4QMMjYxy3eCSou83XTXgH3t99kYyx80P\nDrNu1WJuf2TqukTawXVhS+HcZNYhkc5/KpW/9vyF/nGwLNvVrFu1uKwdibRDztUV8wfzbdk5zKI5\n0Ypjbbu6p8dbEHqJjgjlq7U+AFxWIb1i+7XW/wv4X1XOfQ/4XkMbKHQdfRGLpw6PFaU9dXiMvkhH\nTJmuQsZCEDobmcNCJyPyW05fxCIenuqXubEQc6Ih//vAWf1lfbZ0fpynDo8VnRs4qx8ApfDPBalU\nfvC4tB4vf6XyvfaWtjXY3mpjPTcWOo3eEgShk+iUnSOC0FQmMzZXLJ9flHbF8vlMZuwWtah3kbEQ\nhM5G5rDQyYj8ljOZsXl5LOn3y8lUruj7oWOJsj7zzgfPHTqW4OWxJIm07Z97eSzpfyqVHzwurcfL\nX1p+sL2lbQ22t9pYn0zlenq8BaGXkMURQahAzDLZtmGQtSsWYBmKtSsWsG3DIDHLbHXTeg4ZC0Ho\nbGQOC52MyG858ZDJvHiIu66/hLUrFvDd4VeLvn/98UP+sddnZ8ZD3LNxkD0Hj/KlD01d1x81MQzY\nVjjXFzbpj+Y/lcofevGEfxwsyzIUew4eLWtHf9QkZKiK+YP5tm0Y5PhEuuJYW4bq6fEWhF5CaV0x\nkq0QYM2aNXrfvn2tbobQZGzbJWU79EUsJjM2McvEsk5rPbFSKOlZodtkdhbGQqgPkVmhITR5DjdF\nbkVme4cmyG/HyazjuGRsF1dDPGKSzTm4Gv97Ouv4x8msQzyUX1xI5hxiIYNkNt+f6ZwDGkwFOVcT\nC5tkclPOTyuVHw0ZZAt1x8JTZSWzDjHLIOO4uO5UOwAsBXaF/PGISTJjEwuZpGyXqGkUjXXIUFiG\nIe8c5cj7gdBp1CWzvWswKQinwLIM5hQehnOiYm/aSmQsBKGzkTksdDIiv+WYpkHcnFowiIaLf1LE\nAz5Z+iscz4nm88YD+SJ+3vKFiNLyrUDdXlle2cF2BdsRrpK/vzCm/YU0GWtB6F1kcUQQBEEQBEEQ\nBEEQeoTlv/d307r+8B//6iy1pL2QPWKCIAiCIAiCIAiCIPQ0sjgiCIIgCIIgCIIgCEJPI4sjgiAI\ngiAIgiAIgiD0NLI4IgiCIAiCIAiCIAhCTyMOWTuIVoYzlVCqgjA7THduyVxsLdPpfxkrQWg/ZF6e\nHsH+S2cdHK39vjSVIhrOh+6NmgZZZypc7mTGJh42SWVd4mETrTXJXCEEb8YhZEDW1fmQujmHmGUW\n1ePqfJhfL2yvN3Yp2yFemh4yydoulgIXikIMJzM20UDZyUK4XscL82sZZfJhu25ZGWFDkXF1Wcjf\n4D0nM7YfjSeZy7czm3MwqNyueNjCMJoWIVcQhArI06BDsG2XsWSWzTv2c+Edu9m8Yz9jySy27Z46\ncwfXLQjdzHTnlszF1jKd/pexEoT2Q+bl6RHsv1seGq7Yl7c8NMwTzx8jkbUZS2bZtGOff/4/3syw\nfe8IyazNaCDvEy8c4820zd4XjjM2mcV2nLJ6tu99iVffSPt5vrn3JcaSWb5Zkr55x34SGRtL5Rdb\n0oU2e+3YXsg3VfdxUoVrNOXykbadsjI0mvG0XXTdybRN2nZw0f51m3bsZyKdY3Qyw6b79/HA0GGg\ncrs27djP6GQG19UtHWNB6HVkcaRDSNkOW3YOMzQyiu1qhkZG2bJzmJTtdCh2brkAACAASURBVHXd\ngtDNTHduyVxsLdPpfxkrQWg/ZF6eHsH+u+mqAW57+EBRX9728AFuumqAtecvZDyZKzt/68PPsG7V\nYmxXs+XBqXFYe/5Ctuwc9v9apllWz7pVi7n9kany1q1azJadw2XpQyOjjCdzZFyN7eqydnj5gnV7\n14Aqk49KZVS6bsvOYWxX47oUpb+RzHFz4V6vG1xCrkq7hkZGufnBYZI5kUVBaCViVtMh9EUsnjo8\nVpT21OEx+iKzP4SNqlu2sgpCMd7cWn/pOXzqPQMMnNXPoWMJ4mGz5vVBmqUHhOn1/2yPlehTQaif\n4HzZuv5ivvbYIXY98xogOrQWXr8FzVa2rr+YoRdP8HPzY9x7w2r6IhYTKZv//aNXGH55nCXzYsQj\nJpZhcPbcCOsvPYfbr1nJGbEwsbBBJpc3d/nGjWuAKbOSP/vI5RiG4q82XUk66/CXH1uDBnKu9tPu\nu2E1sbDFoWMJzl/YxzduXIOjp84bKn99LGRiO/ndQMsWxLnvhjUYCl46kWDgrP4i3Tw3FmJONOTL\nQaneDp73qKbf58ZCZX24dH7cvzZ4vrRMr4xqz39BEJqDvEl1CJMZmyuWzy9Ku2L5fCYzdkfULVtZ\nBaGcyYzNzVcPcOv7VrJ117OsvHM3W3c9y+hk5bnRSj0gTK//Z3OsRJ8KQv2Uzpetu57l1vetZP2l\n5wCiQ6vh9Vup2cqeg0f59dXncjJgVvLb39rPBy5bwu9d+9aAmcg+7vy1t/IH/9dFaGD73hHGEllM\nBUnbJZmbMrt5YOgwGdv1zWi8RQ6vDs+0ZtOO/ay8czcjxydI2w6JzNT5nOtysmCak845nMxMtW/T\njn2MJbMsOTNOOlesm0+mcrw8lvTloFRvB897VNPvJ1M5EuliWQrmPZnKMZmxK5bplZHMys4RQWgl\nsjjSIcQsk20bBlm7YgGWoVi7YgHbNgwSs2Z/hbkRdctWVkEoJ2aZfOyd55VtCd7yYOW50Uo9IEyv\n/2dzrESfCkL9VJovtz9ygE+9Z0B0aA28fqtkzmK7uqxPx5M5/stDxWmJtMNE2vbNYiazDtmCSUki\n7fhmJdcNLikyo/FMT6qZ8Kw9f2HZea3xTXNKzXY8k5/xZA5XU6Sbh148wbx4iLuuvwTQZXrbMpR/\n3vte6bptGwaxDIVhUJR+ZjzEPRvz1353+NWC49byMteuWMA9GweJh0QWBaGVdMQ+QqVUFPgBECHf\n5m9rrf9AKXUesBOYDzwNfFRrnVVKRYAdwGpgFPiw1vpwoazPAP8ZcICbtdZ7mn0/M8GyDObHw/4W\nxmZuo25E3WIOIAjlWJZBv6nqnhut1APC9Pp/NsdK9Kkg1E+1+XLB2f3ce8Nq0aFV8Pqt1Axl4Kx+\nlKKsT4PmI8E0wC8HQCn8CC5BcxPv2Cs/eL6SKUzpea9Npec8njo8xtL5cZTKL157utmLVhM2w7ga\n5setIr0dLUSrCZth7rthjR9ZZl60+LpgtJrgdd693nfjGj9aTbiwQFJapkSrEYTW0ylPgwxwtdb6\nUmAQuEYp9QvAl4A/0VpfALxBftGDwt83tNYDwJ8UrkMpdRGwAbgYuAb4U6VUxyzRWpbBnGgIQynm\nRENNfZifbt2NMs2ZSOdwtWYinZMt5EJDaZV8TXdutFIPCNPr/9kaq1oyI3pREIr1ea35Ijq0Ol6/\nHTqWKOq/Q8cSnEzlyvq0kpnIy2NJP/3QsQQvjyWZzNhF6UBReYeOJXzTk2BaqSlM6Xnve+k5jyuW\nz/frT9sufWELQymilomjwVCg0aiCOGidjxpjmApbQzRkEg+bpHMOoDAtg4ihSGcdFIpwKL+IEsRQ\nimTWwXW1X17O1RiGQTRsEY9Y9Efz7eiPhmRhRBDagJY8EZRSlyil1iulPuh9al2v8yQKX0OFjwau\nBr5dSL8f+EDh+LrCdwrnf1kppQrpO7XWGa31S8Ah4O0NuzGhKqe7xVxs7IXZpJXyJaYywnSpJDNf\n+tAlfmhL0YtCL1Oqz7+59yXRsTPA0zN7Dh7lSx+aMv/Yc/AolqHK+nRewHzES+uPmsyNWdx1/SXs\nOXiUvrBJuGBS0h81fbOS7w6/6pf39ccP+aYnwbSgCcrQiyfKziuVN5fxz5W05a7rL2FePMSR0Uk2\n7djH6GQG23ZJZG3fX4nnX6XUz8qm+/cxkc4xkc4xNpll+94RcrZLMhCO94Ghw0XheT0/KZaBvL8K\nQgehvJXMplWo1HbgEuBZwNMMWmv9iVPkM4H9wADwNeAu4N8Ku0NQSi0FdmutVymlDgLXaK1fKZx7\nEbgS2FrI861C+jcKeb5dWl+QNWvW6H379s3kdoUApxNdYSKdY/OO/QyNjPppa1cs4N4bVjMnWu4d\nvE1p2r8ERGanR6vlq40jj4jMtilTUSTykRu86BsdqBdng6bIrchse1JJn9/y3gv4+LvOa0cd69GW\nMlspWk0y6xCzDHKOS87Vfp/GQyZKKZK5/PVHRpPc/ejz3H7NSizToC9sEQsbpLIuYQPsws8PL1rN\nRCoHKObELFJZB0vhR6vpi1iksw6u1sTDFi8cS3B0PMmVKxZgB86XRqvx8iYzjh+t5le/+i/A1DN+\nNJFlXjzETd96mq3rL2brrmf9v0EZevzWqwD4zHd+zNb1F3POvCijiSyf+c6PGRoZZfj3f4XxZM7/\nvufT72brrme594bV3fD+Wgl5P+hwlv/e303r+sN//Kuz1JKmUZfMtsJA+Re01hdNN5PW2gEGlVLz\ngP8NvLXSZYW/lW5e10gvQym1GdgMsGzZsuk2V6iAZRnMKbyMTPeBIDb2p0Zkdua0Wr5OZ250MiKz\nM8eyDPpMxYV37MZ2px5johdnF5HZ9qeSPr/n+4f4nV++wDdx6yVOR2aLn035v/0F/WKaBtHCdcE+\n7Y9YuFrz3rv/GdvV/MmHB1l5Z7GesgzF85+/1v9eqsde/ML7i/K8+IX3c8kf/gPPfe5aLixJDxfy\nXPKH/4Dtal78wvsBWLV16nssbJa1wdOV8bDl+yvxfJuU+jiBcv8pnu+UoN+UYHher4xWv190KqJr\nhVbRimXzoYLvjxmhtR4HHgd+AZinlPK0y7nAa4XjV4ClAIXzZwBjwfQKeUrruVdrvUZrvWbRokUz\nba7QICSE6akRmZ05Il+tQWT29BC5bT4is+2PzItiWiGzwTEo9RcCUyFrk1mnLv8lXhmV/J94fkSC\n9QXzl34PtsHzf+K1oVo9XpuC/lO8vEG/KaX1VgsP3MvyWC+ia4VW0YrFkfvJL5A8p5Q6oJT6sVLq\nQK0MSqlFhR0jKKViwHuBnwCPAb9euOxG4LuF412F7xTOf1/n7Yd2ARuUUpFCpJsLgCcbeG/CLCF+\nGYTZRORL6EREbgWhHJkXrSc4BqX+QvIhay8jHjKJh8y6/JfsOXi0qv+TefEQ4RL/I0F/JqXfg2Fz\nY5bJvHjI91filV9ajxeS98xC+N09B48SKgnH+93hV4u+e/cdqnB/Io+C0L60wufIIeAW4MdM+RxB\na/2zGnkuIb+oYpJf0PkbrfVnlVIrmArl+yPgI1rrTCH07wPAZeR3jGzQWo8UyroD+ARgA5/WWu8+\nVZvF1q09aGO/DPUi9pltTBfI12wgMtvmiNxWpC39NwjNowPnRdfJbHAMfH8hBZ8l8ZDpR2ZxXU3W\ndmr6L/H8nKRsl1jIKPN/knFcLCAT8D8CU/5MSr8nM/lyDUNh2y5Zx/X9lXj1lfpZiYfyixlp28F1\nIRY2cGwXW0+Vm805uLq4XldD1DI6TR7rQd4POhzxOVKZVhi8HdFa75pOBq31AfILHaXpI1SINqO1\nTgPXVynr88Dnp1O/0B70ql8GoTmIfAmdiMitIJQj86L1BMcgHvCv0V/ia8MwFNGwVdV/SdFfs7L/\nk3gh3fM/Ei+po/R7f3Tqu2UZ/kLFVBsq1wN5PyMeZtjw6wSIhqvXK/IoCJ1BKxZHfqqU+mvg/wMy\nXqLW+jstaIvQBDrwPzh108331kykH2sj/SOcim6WkW6+N2HmiFzMLo7jFu3c6ItY5HIO2cAOj5hl\nknbcqd0WITO/E8Rx/d0TkxmbeNgkY7u47tQOC4P89nG3JGqNt3NEa7Bd148+k7Xdkh0Z+Z0owd0a\n0ZCB47g4gTJjYYNMzi2qI5mxsQyF7U7lAXB08TVRy/R3ldSzIyQfgtgQORSEDqYViyMx8osi7wuk\naUAWR7oQuxDzfcvOYZ46PMYVy+ezbcMg8+Phjn94dPO9NRPpx9pI/winoptlpJvvTZg5Ihezi+O4\njE5m2fnkET5w2bnc/sgBPvlL53HR4jP8Pr/56gE2vH1Z0Rjcs3GQWMhkPJXjtocPTKVvGCTnan73\nb57hmlVns3HNUrKuxnY1tuuSzrlF19//sTVkXU0y67D/Z2OsPX8hiYzNbQ8f4Oy5EW5dt5LbHj7A\nNavO5rrBJSQyNj9+ZZxfuvAsso7rl/md/a+w8e3LUAZFdXht3/+zMX7pwrMAyDquX0fR/YRNsrYu\nq//4RJol8+JlMhgPm0RB5LBLma4pCnSFOUpP0fSZq7X+eIXPJ7zzSqnPNLtNwuyRsh227BxmaGQU\n29UMjYyyZecwKdtpddNOm26+t2Yi/Vgb6R/hVHSzjHTzvQkzR+Ridknm8v27btVibn/kAEMjo1y+\nbH5Rn69btbhsDG5+cBjb1dz28IGi9Mmsw+/+zTMMjYxy3eASMoWFkfFkjkTaKbveO79l5zBrz1/I\neDLnX3PTVQP+8XWDS/xza89fWFbmulWLmcw6ZXV4bffyePlK23Hzg8O4LhXrP3/RnIoyaLta5FAQ\nOph2DLJ9PfDFVjdCaAy14ru7Wnf0VliJXd8YWtWPnbIlW+Sss2iFXHWzjHTzvQnTJzi/RC5mD69/\nB87q9/u5P1rc58FzHk8dHmNuLFSWvnR+3E+bG5vyueH53yi93htHr7w50akyg/UGz3nlBvMOnNVf\n1LbStgfbUk2m+qNW0Tkvb2l/BNsLkM3aZc5ag05nQ8aUb0gxxRGE9qEdZ2LTvB8Ls0+1+O5HRpNc\neMduNu/Yz1gyi227VUpoXyR2fWNoRT96W7I379jf9nIoctY5tEquullGuvnehOkRnF8vvJ4QuZhF\nvHl36NhUPyfSxXMxeM7jiuXzmUiXz9mXx5J+2slUjsmMzclUjpfHkkXngvWfTOW4Yvl8/zrvmmC9\nwXMnUzkSabuozEPHEhXr8Mrw8nj5Kt1P6Tkvb2l/eNd795csyOumHft4YOgwJ9N20bPhZNr2d62k\nbact3z8EoRdpx8WR5sYWFmaVYKx7L777Xddfwt2PPt/xW2Er3ZvErp8+rejHTtqSLXLWObRKrrpZ\nRrr53oTpEZxfX3vsEF/60CUiF7NEPJSfd3sOHvX7+ekjY0Vzcc/Bo2Vz856Ng4RNxV3XF49Nf9Tk\ny9dfytoVC/ju8KtEDIVlKObFQ/RHzbLrvfPbNgwy9OIJ5sVD/jVff/yQf/zd4Vf9c0Mvnigrc8/B\no/SFzbI6vLZ7ebx8pe24Z+MghkHF+l88PlFRN1mGImKoIlOc6waXVDXB8T7t+P4hCL2I0rq91iKU\nUj/SWpeF7W0lEl/79CiNdT86meWceTEOHUvwtccO8b0fH+X5z1+LoTpv09A0t9BLTPgqNNsUwdWa\nC+/Yje1O6T/LUC2Tw1PdfwtNgERmp0Gz5apULkyliIbNtjYTmwkzkP+myG03yGwnEBz/F17Pvzfs\neuY11l96Dp96zwAXnN3fDTLfVjJr225ZxJmYZfrRY0qj1cRChh/RJplx2PezUQaXnsmcqOVHsUnl\n8lFfLAUZVxMPm+QKEWhKo8Ecn8hwZtQiU6grGJ0mmXGwjKnro5ZB1nExFUWRdCKGQpPv2Expm20H\nw1C4M4xW82YyRyJjs3hutCxazUQ6x4I5UbSGlXfmnwcjX3x/1WdDkA57D+7J94Nucsg63Xtp1/uY\nBnXJbDs+RR5udQOExmJZBnOiIVxHk8ja/NdvH2DlnbvZuutZbn3fSm6+eqBjt8J692YoxZxoqJNf\nzFpKs/uxnbbq12OKIXLWGTRTrirJTSJj4zq662RE5L93KZVz771h/aXnsOuZ19i661kmM7bIRQOx\nbZdE1vZNQi68Yzd7XzhOImtzYrJY57yRyhKzDMYmc3769r0jXLT4DHb862FefSPNN/e+xNhklrRt\nYygYT9v5tESWE5NZ/uKJESbSxfWdEbUYL5ih3PLQcOFcvvwnXjhGuiAXOccmkbVx0bwZMFv55t6X\nsHX+l9B4iTnLWDJLKmtz0e/v4dXxFB/9xpMcHkvxsb/cx0V/sIdVW/ew4jPf40QiyyvjKbKOy3+c\nzPCf79/Hq+MpfvO+H3LZHz3KL/6Px0hk82VPZvJ/f/7393DFF75fZgrkmQgF8UxwvE+nvgcLQrfR\n9CeJUiqqlPqUUupPlVLbvY93Xmv9hWa3SWgOKdthy4PF2wpvf+QAH3vnebIVVmgq7bRVv5NMfITa\nNFOuRG6EXqCSnN/+yAE+9Z4BMaWZJVK2Uxa5pTRiTDCaSzLncPODPyqLBONFuglGjMkVItB4acGI\nMsGyvetKo9OUtsUyTcaTOVyXskg6tqvJBMoJ6slo2CoyrwmaD3m6+8x4iDPjIZSaMqspvW7oxRNs\n2zDIZCZXpPtLTYG+O/xqVRMc7yNyLAjtQSvcej8A/BRYB3wW+E3gJy1oR1vTKZE0pkMtT+AdtpVQ\n6HAsy2B+PMy9N6xu6RyzbVeiLjSJZujUZsqVyI3Q7dTSjxec3c+9N6zuinejdqMvYhEPF/d7acQY\nD0/nVIoEE/zroVRxFJnS42AbKkWnKW2L11av3GAbvNfKam1+/vPXks7mF5M/8a4VxMJGse4OmWQL\nOzgNBWEzXHZdMuMQtQxStkPMMovyRwxF2Axz3w1r/Gg1wfPBaDUGkLZd4qYimXGIh/MLJclc/jiZ\ndYiaRpGJDwRNgPLXGUb1d2nHcckUzJhi4SkzqFzOwdFT5k7d9LtDEGZCK6R+QGv934FJrfX9wK8C\nb2tBO9qWToqkMR3ayZShErbtMpHO4WrNRDrX8f3djTRyjFq9Vd+b50dGK3vIb5d50Q00U6c2S67a\nUZ+KDhUagW27JDM2b6Rq60cxpZkdJjPlkVtKzUQ8vLGoFAkm+NeLGBOMglMaUSZYRrDM0qg4wbZ4\nba0USSeRtmvrSQ05R/MXT4ww+Nl/4CN/8SSuq7FzDqZS2AU/JK6GkGXgaE08YvLyWIrvPP0Kxycy\nABimImwof/E9W8ifdSEaNnG0ZiKVK+vn4DLGyaztmxRt2rGPiXSO0ckMm+7Ppz3x/DESWZuc65K2\nXZK5YjOkTTv2MTqZwXUr+5F0HJeJTD7P9r0jvPpGms079vOD54+Rsl3f3KnbfncIwkxoxVPF0xDj\nSqlVwBnA8ha0o23p1u3S7WTKUEq3Lkh1E902Rt48v/vR5yXqwizTjTq13fRpt81PoTV4cnRsIsPN\nD4p+bAUxyyyL3FJqJuKPxcZB9r5w3I9EU8lUJRgxJlSIQOOlBSPKBMv2riuNTlPaFttxmBcPYRiU\nRdLxosZU0pO243Dhnbv57W/t5wOXncv737aYoZFRYpZB0nb9RYjSxYQL79jNruFXuW5wCTnHZdOO\nffzg+WO+v5MHhg77+byFi99+YD8RyygL5ftm2sbVYLuaaMhk0ZyI/3x6I5nj5oAZumdKpDWMJ3Mk\n0k5VE6dKJHNTplKeudPQyCiXL5vPeDJXZMbULc9IQZgprdh/e69S6kzgTmAX0A/89xa0o23p1u3S\n7WLKUIngjyfAfzDce8Nq5rRB+4TuGyNvnnve67euv5iBs/pJZfPbdNthXnQL3ahT202fdtv8FFqD\nJ0ff+q0rRT+2CMsy6McibBq+SYgXuSWYNpnJO1a9+x9f4F9ufw9f/ODbWDo/zqFjCb7346N8/F3n\nEQuZ3PCO5fRHLNI5B1fDvKjFx991HvGwSSbn+qYq6Zzrl/36m2nOjId8/ZbOOtx3w2riEYsjo0kM\nBfNiIUD50WrOiFpF+hDyZiLzStJtx+GyP/onAN+Hzdb1F7PrmdfIuJrxZI558RDjyRyf+c6P2br+\nYn8xAWDdqsX+uaGRUf78o6v55AP7GRoZ5esfubzonFdHcPHBS9uyc5g//+hqXK0xlOJT7xlg1zOv\nAbB0fryiKZFSMCcaAiqbC3nmOKUETaWCZkr9UYu+SLlZkldeJz8jBWGmtELq/0lr/QbwA2AFgFLq\nvBa0o23xtgF6ShSKt5F2MpZl+C/K7XQv3fjjqdvotjEKzvNdz7zGrmdeY+2KBdx7w2p58W8w3apT\n20mfdtv8FFqDJ0eeKYXox9ZglSxA9Rf0SzCtL2Jxz/cPAfCWM2J+2FqPG96xvGr42osqpD/3uWuZ\nSOfQ2uQX/8dj2K7mxS8Uh8B98Qvv5713/zPPfe7aojC5UdMsuw6mQul65eTzPVp0r0G/J0EfJp5f\nk1KfJ6U+UvqjU7qvmm+WWj73/HIjU75ZPLMh75l1MpUrWrQBKj7TklmH/go6dzJjM5rIFpk7DY2M\nkkjbjE1mWdAf7spnpCDMhFY8YR6pkPbtpreijWm37dLdQi17+Ha03xeKme4Ytbv/A5nnzUP6emZM\nZw6JDhVmSlDOJjM2N189wNceOyTmNG1OLb8gQJkfEKjso8RLT2XzO0uS2erllvozAfwwuMHrXhtP\nFfkxqZRv/aXnsOfT7+a5z11LIm1zy3sv8H2YBP2aVGpDsOzgfVbzzVLtnhNpm5OpHIm0TSJj84fr\nL+LxW69i2YI4f3HjGn762XU899l1mIZi2YI4pqF4y9wI/VGzzMTpno2DxEOV50c8ZFaMuPP0kTHm\nxUNFZkwy34ReR2ld2XlPwytS6ueBi4H/AdwWODUXuE1rfXGNvEuBHcBbABe4V2u9TSn1ELCycNk8\nYFxrPaiUWk4+As5zhXP/prX+7UJZq4G/BGLA94At+hSdsGbNGr1v3776b7YBdGO0mlbi2TFv2TnM\nU4fHuGL5fLZtGGR+PIxlGac83yCaFpKnFTI720xnjJo0nqdNB8zzrpHZDujrtmK6c6jN5lxT5LYb\n9WyzqSY3O588wsiJST793gtZtiDeC3O242Q2OHZnz41w67qV3PbwAX8cv3HjGhIZu6JOGEtl2fLg\nVPpd11/Cl/c8x4qFfdzwjuUkMja3PXygrNybrx5gw9uXsfPJI3zgsnO5/ZEDXLPqbD68Zikn07bf\nljt/7a0AZG3N7/7NM1yz6myuXbWYnU8e4UOrl/LI/pf9/H7bNg4yPxYmkbVRCrSGRMbmO/tfKbr2\nqxsHWXv+Qr+Nn/yl87ho8Rls2TnMNavO5rrBJf45r+xvfmyN375gX/RHLNzCT5AnXjjO6p+b79/D\nH3/wbbiFNpTmmxe1sHXLo9V0zfvBdFj+e3837TyH//hXZ6Elp89076Vd72Ma1CWzzVwcuQ74ALCe\nvK8Rjwlgp9b6X2vkXQws1lo/rZSaA+wHPqC1/vfANf8TeFNr/dnC4sjfaq1XVSjrSWAL8G/kF0fu\n0VrvrtX2dpqUwsyYSOfYvGN/0ZZBb4uut2WwCT+eevJB0kjqHaN6xluoC5HZHmUmc6iNFqA67odm\nr1JLztpAjppJR8pscM6ns04+okvY4tCxBPGwyYlEmvMXzaE/apFI27x4fIILzp6LoSBru8yNhTgy\nmuTuR59n1zOvsefT72brrmdZNCfCp94zwMBZ/ZxIZIiHTfoK/kYef+4YH7hsCf0Ri0TGZm4sxJup\nHHHLIOtqFIpNO/axaE6EL/ynVZxIZFnYH2H73hHWrVrM0jNjZB2Xm771dJnc3XfjGsIKbI0fMtdb\nTJjM5O9zIp1jx78e5kOrz+WMWJh4xCSVzTtX9aLVuIGFC29ny6K+cNHiQ9hQaCDruNz5f57lU+8Z\nYOuuZxkaGWXPp9/NOfOiaI3vzyTYzjZ5l+nJ9wNZHOlo6pLZphkDa62/C3xXKbVWaz00zbxHgaOF\n4wml1E+AJcC/AyilFPAbwNW1yiksssz16ldK7SC/YFNzcURoLrPxgl2PPXw72e8LlSkdI287dqms\niP8Dod1oo4WDupjJHBIdKtRLcD5UkzMvHLbQvgTnfLywC+LCO3bz/rct5isbBnnPlx+v4FvkGrQG\nt2Cl9967/9m/xvPvYbuaXc+8xvpLz+FT7xlg0ZwIWmsytstH1y5HKYrqueJz/8hzn7uWi+/czfOf\nv9Yv408+PMh7736U5z53Lfd8/xB3/+MLvPiF9xMJmTUdmnpaTuu835LnP38tfRGLlXfuLirLa9/5\nC/v8yC6uhsmsTV84v2AUtQzCZpism9erWkM8nK8h6KflTz486Ldp4Kx+lJpqV2k7+wp9PZmxiYdM\nTLN9nyWC0Gk0bTYppb6qlLoH2KiUuqf0M41ylgOXAT8MJP8i8LrW+oVA2nlKqR8ppf5ZKfWLhbQl\nwCuBa14ppAltwmyFgxR7+O6jlqzIeAvtRCeGuZU5JMwWwfnwwuvlvipEzjoT23ZJpPM+Y25930qO\njJb73rj56gFSWYexyXyo29Lxf208VeQT5Nb3rWTrrme55aFhRhNZtu56lpV37ubIaLKonpuvHiCR\ntvnqxsGKvlCCfkNKfYZ4XLF8Pi+8nuDIaJLJjO37H7li+fyKPki89o0cn/Dl+ZaHhknm8mY5yZxd\nFBJ40459HB1Pkco5JDI2x06mq977a+MpJjN2Vb8tR0aT/rNkdDKL47Tvs0QQOo1mLjXuI28OU+1z\nSpRS/eQdun5aa30ycGoj8GDg+1Fgmdb6MuAW4K+VUnOpvJ2mol2RUmqzUmqfUmrf8ePH62me0ACC\n4SAbGWu9Fxwy9prM1pKVXhjvbqBXZHa29NpsInOoMr0is7NJcD6I49XZp1kym7Id/vJfXuLGd5zH\n7Y8c4O5Hny8b24+98zzsQFjb0vEPW4bvaPRT7xnwQ+jedNVAkQ69+34BrgAAIABJREFU+9HnufGd\nU/Xc+I7zuP9fX+KdA4vyzkU35nXX1x8/xLYNg+w5eJSvbJhKq+TQ9EsfuoSvPXaIux99npChCBvK\nd2I69OKJMoemt/zKhdz+yAHWnr/Qb9tNVw2QSDv+R2sYT+a47eH8fbgaJlI57v+Xl5gTDRW1IXjv\nhoKQobAqOEq96/pLuPvR54ueJclc+z5LZoroWqFVNM3nSFnFSvVprSencX0I+Ftgj9b67kC6BbwK\nrNZav1Il7+PArYXrHtNa/3whfSNwldb6k7Xqbidbt3alUVvGvS2ZlUK/Ger0zBvbYFt7T9pnzhan\nkpV6x7sN5KKd6SmZnS1ZmE29Npt08NzoSP8N3U5Qnl54PcHXHjtUZDpxwdn9nSZnjaSjZda28zsk\nYmET0Bw6NsnAWf38x5spXA2Lz4iSyjnEQibpXP66Q8fyMgBw+zUrOSMWJhY2SGQc+iMmyazj+y85\nf2EfL54oLnPJmTGOjk+Vn7FdTAU5VxMPm6SyDqCIhQ1SWQdDKd8PyEQqR8g0cLUmHrFIZhzeTGX5\n0t8/x65nXuMP11/ExjVL8/em8zo8GjLJBhyaKqW48I68yY2n370Qwh6eY9dgSGHAN8/53b8Z5qar\nBnwzmlseGuZ337eSJWfGuOWhYb7865fiuC7ZoKPUkMmLxyf9+dPCZ0lPvR94iM+Rjqa9fI54KKXW\nAt8A+oFlSqlLgU9qrf+fGnlUIc9PggsjBd4L/DS4MKKUWgSMaa0dpdQK4AJgRGs9ppSaUEr9Anmz\nnBuArzby/nqRRkYp8LZDzkasdbGH7y5OJSv1jHebRdgQWshsysJs6rXZRHSm0Cgqza8vfegSAHY9\n8xrHJzLt4mRSmCalUWv+2/vfytZdz/rjfM+GQY5NZHjm5Tf8aCxBGfj+T19HA9v3jvCBy87l//yo\nODqMF6Fm665n/eg1//XbU5FsDr46zpzoQpSCyZxbFj2nWsSb+//1MB+47Fw27dhf1J7Ll83jl996\nNv/03DF+eeVZuFqTzDps3/sSG9++jJBlMJqwcVztm9x4+v218RROYBF8XjzEeDJ/ftGcCIm0zRvJ\nrG+e8/rJDF977BC3vm8lrtasWNiH1nBkNMmKhX2kbRdDQdhQnJjIVJw/xycybf8sEYROohXeCb8C\nrKMQsUZr/YxS6t2nyPNO4KPAj5VSw4W0/6a1/h6wgWKTGoB3A59VStmAA/y21trzaHQTU6F8dyPO\nWE+b4BZZwN/md+8Nq/0X63rxtnKX/kCRLbZCKY2QlUbKrtDZzKYsiF4Tep1K8+v2Rw6wdf3FHJ/I\nyHzoYIJju+fT7y4b58msw2e+82O+/pHLiyLEeDLgpW9df7EvE545DcC6VYuLyvdMVLzjr3/kcsaT\nOebFQzWvKy2vtJ7S9nz9I5eTcTVOwQxo6/qLmcw6ULifL19/iW9ys23jIFseHMZQEItOybFS+QWS\nbRsGSWYd7v/X/AKLF676KxsGSWUdbn/kAIvmRPij61bx29/a7x9PpHP0Ry0cTcX588UPvo142CQe\nkrnT68xkR4tQmZaEbtBav6yKt3/VNJbTWu+lylYYrfXHKqQ9Qt43SaXr9wFlIX6FmdPIyCCWZTA/\nHu7FMH7CNGmErEhUG8FjNmVB9JrQ61SbXxec3c+9N6yW+dDBBMfWizYTZOn8OE8dHmNuLFRRBrx0\nL29pGcHvlY7nxkLMiYZQiprXlZZXqa3B9syNhYrSB87qL/r+ljNivlnMgr4wW9dfzOJ5eXOY29at\n5Mx4GMiHBJ4TtVioFPd8/xCHjk/yJx++lHWrFrOwP4xSqii6TvC4P2rVjFqzbEEc7WqJViMIDaQV\ns+llpdQ7AK2UCiulbgV+0oJ2CA2i0VENLMtgTjTkh/GTFyahGqcrKxKRQ/CYbVkQvSb0MrXml8yH\nzqZSdJggwYgv1WQgGAWmtIzSSDOlx14kmWD51fIEv1dqa7A9J1M5JjO2X64X5SYYteb1kxnWfeUH\nHDo2ydZdz/LC6/m0d37pMS76gz28/EaKtO0ymXH86D27nnnNv/7QscmiqD6Vouok0nbN+SMLI4LQ\nWJrukFUptRDYRt5XiAL+AdiitR6tmbGFzLYjoA52egeI34Zp0JPOq9qZdpDdNp//XSWztfq6HWRB\naBgd7dyyWyidb46ruelbT8v8qkzHyqxtuyRzDvGwyWTWYU7U4shokq/84/O8fjLDn33kcrKOy77D\nY2U+R/7sI5cTMg0mszYP/vBIdZ8jVy5jy4N5XyL/9Zqf59v7XuZDq89lUV+YTMFZaTrrYBeOxyYz\nRCyTvojFa+Mp5sYs0jmXvrBFPGKSSNv8y6HjXHzOvKJ6Nr97BQCuxnfe6pXbH7FIZGw0mom0zXf2\nT7XzGzeuxtH4sh42FDlX4zmEzdkuBvhtnczYRAzFn/1ghI1vX0bGccv8o5w9N8Kdv/ZWoiETSylO\npu12ez511ftBvbSrQ9ZmmNX0ikPWlkWr6SRmc1J6L+Q7nzzCulWLGTgr7609HmqrH0inpM1/4LUL\nPfkgaXdaKbvN/EE+w/vsGpmtp6+bIQuiK5tCx/7Q7Ba8H8x9kXy0kT0Hj7LhymX0hy2iYVNkv5y2\nlllPb8XD+SgyfRGLZNYhahpkHRdbFxYP0jZPHxnjwMtv8rF3nkd/1CKbc/wIMpmci6XyiwTed28R\nIpl1QGtiwToyDjnXJWwqzEK0GSMQkca7Lp2dss73yo9ZZnmkF8v0Q6hrDX2RqTImMzamUmQdl0TG\nrujM9Yrl89m2cZC5EQvbzUetcWyX8cDCxVc3DrL2/IUkMvkFlBvfsZyYZRRd4z1/5kUtTMso6od0\n1pk6zjmgwVR5AcmU3EuL50/XvB9MB1kc6WjqktmmzSql1FeVUvdU+zSrHe1GynbY+WR+tXzrrmdZ\needuPvnAfsZSWWzbbXXz6ka2jAudSitlN+jIzna17wTUe3lrFN7CwOYd+7nwjt1s3rGfsWRn6ZjT\npZ6+nm1ZkHEQegHbdhlLZfnkA/tZeedutu56lg9cdi47f3gER2t5T+gwPL31zb0v8eobaV9/bbp/\nn7+Q8MlC2icf2M/g0jP5jSuW8ckH9vPA0GFOpm2+ufclxhJZTAXjge9jySybduzjloeGGU9m2V5a\nx459WIZCoUjbLjnX9cvzrrvloWFSOYdkzoZC+ccn0mQdlzfTdpm+PT6RJpV1+Mt/Ka5r8479JLI2\nGdv1HbjedNWAf+w/Nx4cxtbQH7UwDYNMwWGrd83a8xcynsxx28MHWLdqMRrKrvGePxlXYxoG8YhF\nf9TCUKr4OGwRj1hEwhbhsCXv2YLQBJo5s/YB+4EocDnwQuEzyCkcsnYzfRGLdasW+x6zg8q30T+Q\nBEFoL5rlELZZizDtTDs435VxEHqBlO2w5cFiOb/9kfwPRXF23Xl4eqvSu6pd4Uf/eDLHf3kon3bd\n4BI/72TWIVu43vteughRqQ7H1diuZjyZQxeitgSvu+mqASbSNom040eWWTQnWrFt3rlq97PlwWH6\nwrUdzD51eIx4eCo6TOmzZW4s5DuhHTirn7mxUFs8fwRBqI+mLY5ore/XWt8PXAC8R2v9Va31V4Ff\nJr9A0pNMZuyqyleUpiB0N81yCCsvZu3hfFfGQegFqsm5ZzYsdBbeeFZ6V+2Plo+1tzAAFEWiWTo/\nXlRW8LpaEWTmxkL0Ry2Wzo+XRbbx8i6dHy8qv6+w+6Kavq0VrSYeMWs6mL1i+fy8CVCB0meL5yDW\nc9rqOXZt9fNHEIT6aMWerHOAOYHv/YW0niRmmaI0BaFHiVkm2zYMsnbFAixDsXbFArZtGCRmmafO\nPA1ExzSvr2sh4yD0ArXkvJnzTWgMpdFkgiTS5WPtLQwAZZFegmUFr6sVQeZkKkcibRdFpKkU1SVY\n/mTGrti2StFxSs8n0jZ3XX8Ja1cs4OuPH/KPvefGPRsvIx6akuPSZ8vQiyeYFw9x1/WXsOfgURQQ\nMVTLnz+CINRHK6LVfBzYCjxWSPolYGthV0lb0hRHgaksWx5sKy/UQuPpSedVQm2a5QR0ho5fu0pm\nW+0MVSLiNI22dm7Z7VSU842DzI+JnNegbWU2GDggGEXmiuXz+caNa0hkih2Nfv0jl5NzXG5+cJhr\nVp3NtasWs/PJI2x8+zLmRi3eTNv+99IoLcEIMF55992wGqPgKFUpyOTcoracPTfCf/+1i9Bo4uG8\nU9hEJsdb5sbK2rZtwyCJTI7+SKji/dxTcLbqlESrCTqNjYdMDEOV9VHw2RIxFHahjGrRatrAoerp\n0lXvB/UiDlk7mvaNVqOUegtwZeHrD7XW/xE4d7HW+tmmN6oGvfDSLjSFnnyQCO1Br0eraRdE1zeF\ntv2h2SuInE+btpbZatFq4iET19VlY20Yyg/vW2+0Gm8RIhY2yurQWmM7Lk6DotXkQ+1Wrqt04UOo\nSk++H8jiSEdTl8y2xNC5sBjy3SqnHyDvsLWnsCyDOYUXhznRUItbIwhCtyE6pj2QcRB6AZHz7qJ4\nPPN/+wu+kgxDVRxr73w0bBEtpMUj+evCJd/zx1M/SUrrAIVpTl0bLbkuXuK3ySvfwiDiX5tvm9fW\nqfTSugRB6GXacRlflmwFQRAEQRAEQRAEQWga7bhM2nw7H0GYJrJluH6krwRBqBfRF+2PjFHv4jgu\nGdstM3/J5vImMdX8dMQsg4zj4rqFtIxDLGSQsl1iIQPbdgF8ExjPTMarJ2h+k8w4fijdXCAMulP4\n9WAo/LZ4bfRMcIJ/Hdv1/YJEQwZZO1iHTSxk+u0LXuudj4ctMcERhC5EnmaCME0852Sbd+znwjt2\ns3nHfsaSWf/hLkwhfSUIQr2Ivmh/ZIx6F8dxmcjYjCWzbN87wqtvpNm8Yz8PDB0mXZCLTTv2cctD\nw/7xhXfsZvsTI/l8k4G0vSOMTmbZ/sQIqayDo+HNtM3mHfu55aFhkrmpesYS2aLyNu3Yx0Q6RzqX\nz+doSNkuyZxNznX9tnht/Obel/iPNzN8c+9L/vec7ZIsXPfEC8dIFO5rqn0v+e1zAtdOtWE/o5MZ\nXFf+nysI3UY7Lo5kW90AQahFynbYsnOYoZFRbFczNDLKlp3DpAL/wRDySF8JglAvoi/aHxmj3iWZ\ncxhP5rjt4QOsW7WY2x85wNDIKNcNLvHTh0ZGuemqAf/YdjXrVi0uOu+lbdk5zLpVi3E12K725eqm\nqwZIpB2/nsmsU5R3aGSUN5I5bFf7n/FkjkTaQWvK2rhu1WJuffiZou+5Qp7bHj7A2vMX1mxfJnBt\nsA03PzhMMidyLwjdRtPNapRSu/7/9t4/Tq6yOvx/n5k7sz+yiWFD8BMRDEnAihEXSJSobQGtQWzF\nVvmYvKpB+/3AF4ofYqkIlKqprRbFaqG2tNACpqUEKbTSIo0UQUkbMQmGJEiFTQgCpibsEpLd2flx\n557PH/fe2TuzM7O7ye7MnZ3zfr3ua+59ft1zn3ueM3eeee45wAbg26o6XJmvqmc1WibDmAyzOhy2\n7B0sS9uyd5BZ5sxrDNZXhmFMFLMX8cfuUfsyq8OhO+3f/yXH9ZT0YE5XitmdqdJxNC88Bsakhe1I\n8GZKtH54XK0uwAm93aV6oWwAIpRkiZ6j8lOE0rVUyl9NvrBslC17B0uv9xiGMXNoxsqRPwPeBfxE\nRO4RkQ+LSGe9CiJygog8IiJPi8hTIrI2SF8nIi+JyPZgOz9S51oR6ReRn4rIykj6eUFav4hcM10X\nacxchnMuyxf2lqUtX9jLcM5tkkTxxfrKMIyJYvYi/tg9al+Gcy4vDGZYvrCX/v1DJT04NFIopQNl\neeFxND9apn//EENZl6GsW1Y/ep7KugAvDGZK9YayvlwvDGbKZImeo/Izei2V8lfKFy0bZfnCXjJ5\nWzliGDONhk+OqOr3VfV3gUXALcD/BvaPU80Ffl9V3wScBVwuIqcGeV9X1b5g+w5AkLcKeDNwHvBX\nIpIUkSTwl8D7gFOB1ZF2DGNCdDlJblzVx4pF83ASwopF87hxVR9djv2DUIn1lWEYE8XsRfyxe9S+\ndKeSzO1OccOFp7Fx1z6+/KHTWLFoHt/e/lIpfcWiedz8aH9p30kIG3ftK8sP025c1cfGXftICDgJ\nKenVzY/209OZLJ1nVjpZVnfFonkc053CSUhpm9udoqcziQhjZNy4ax9fvfCtZcepoM4NF57G5t0v\n15WvI1I2KsNNq/voTpneG8ZMQ1Qb70xIRLqA3wA+ApwB/Juq/t9J1P828A3gncCQqn61Iv9aAFX9\n0+B4I7AuyF6nqiurlavFsmXLdOvWrRMVz2gDjtBbf8PcmsdJZy2yQUvTljprNI8pshcN0dt21Vmz\n6dNCS+isRauxaDUR2vL5YOE1D0y6zt7r3z8NkpRzJHJNlkZcxzQzIZ1ths+Ru4G3A/+Ov4rjUVWd\nsJtzEVkInA48jj858kkRWQNsxV9d8gpwPPDDSLUXgzSAFyrS335EF2K0NY6TYHbwMDi7M9VkaeKN\n9ZVhGBPF7EX8sXvUviSTCbqToxNhszv9/c50+c+J7ogPmp5gP1qvp9NP6wnSkmn/s6NKff94bF2A\njvT4P2NCGSs/k+kE6Ug5p0y+1Bj5omV7TO9jRyMmB4z2oBlT/bcDi1X1UlX93iQnRnqAe4FPqeoh\n4GZgMdAH7MP3ZwLVZ4a0Tnq1c10iIltFZOuBAwcmKqJhNA3TWaPVMJ01Wg3TWaPVMJ01WhHTW6NZ\nNGNy5AfAtSJyC4CInCwivz5eJRFJ4U+M3Kmq9wGo6i9UtRhMsNwKvC0o/iJwQqT664Gf10kfg6re\noqrLVHXZ/PnzJ3WB4C87PZwt4KlyOFsoLRk0jOniaHXWaA/iZJvaXWfjdC+MidEOOmt6ObOYTp0N\ndaXojerMUM7F8/z/HT1PyebdMn0qFr1S3lDOxdPRMkXPIx/Zr2w7k3fJBlsm5ztjdYve6H4gT6UO\n5/Ku6XGL0Q621ognzVo5kgfeERy/CPxJvQoiIsDfAU+r6tci6QsixX4T2BXs3w+sEpEOETkJOBn4\nEbAFOFlEThKRNL7T1vuP/pLKcV2PwUyeS9Zv45TrHuSS9dsYzOTNMBuG0VTMNsUHuxdGHDG9NCZK\nqCu3b3qOl17JlnTm4m9uZWA4T7Hokcm7HMq6Zfo0MOzr08Bwnou/uZW/37yXQ1mX2zc9R67gcTDY\nf+mVbFnbV969nULRw/WUbHDux57dz1DOZTCT59n9hxjM5DlwODtGh1/NuuSLnumxYRjj0ozJkcWq\n+hWgAKCqI4zvIOWdwMeAcyvC9n5FRHaKyA7gHOD3gjafAr4F/ATft8nlwQoTF/gksBF4GvhWUHZK\nGXGLrN2wnc17BnA9ZfOeAdZu2M6IayG/DMNoHmab4oPdCyOOmF4aEyXUlZVLF3D1vTvKdOaKu35M\nplDE9bSmPl1x14/ZvGeAC/qOL7VTVC1rM9r2ZWcvQRVcTzmYKXDVPTtYsfjY0v7i+bNZu2E782d3\nVj2n66npsWEY49Jwh6xAPohWowAishjI1augqpuoPoHynTp1vgh8sUr6d+rVmwpmdThs2TtYlrZl\n7yCzOprR3YZhGD5mm+KD3QsjjpheGhMl1JUlx/XU1ZlaeWH6nK5UqR0RytqMth3mg+8IeMveQeZ0\npUr7PZ3OmLaj54w6cjUMw6hFM1aOfB5/NccJInIn8DDwmSbIMW0M51yWL+wtS1u+sJfhnNskiYyp\nwN7DHov1SWthtik+tPO9MLsRL6L3o5310pgcoa707x+qqTOHRgo188L0sEz//qExbUbb7t8/xKGR\nAodGCrwwmGH5wt6y/aGsO6bt6DmHsi7DFT5OKvcPZwvkA38mUZ8m1XyfDGXdko+VYtEr+U+pPA7L\nFr1R3yhhW647muapksm5pfTQt0o1fy2GYUwfDZ8cUdWHgN8CPg7cBSxT1UcbLcd00uUkuXFVHysW\nzcNJCCsWzePGVX10Oclmi2YcIfYe9lisT1oPs03xoV3vhdmNeFF5P27f9Fxb6qUxeUIbtnHXPr78\nodPKdOaGC09j2/ODOAkZq0+r+xDghgv9Ot/e/lKpnaRIWZvRtm9+tB8RcBLC3O4UN1x4Gpt3v1za\n333gMDeu6uPA4WxVHXYSglsslnycXLJ+W9n+Kdc9SFIg43pkCm7Jp8ngcH6M75PB4TwXr9/KKdc9\nyG2P7Sn5T6k8DsvetmkPg0N5BjP+/kuvZDlwOMtQ3j/PxeuDspk8w7kCWdd/JamavxabIDGM6UVU\nq0aynfoTiZxRL19Vn2iIIEfAsmXLdOvWrZOq47oeI26RWR0OwzmXLieJ4zRjoY4xFRzOFrhk/TY2\n7xkopa1YNI9b1pzJ7InHux/Pt86UcSQ6O1mmqE+MBjNJ2zSjdDZutOP3RIPsRkP0dibobLX7ceV7\nTuYT7zqprfQyBrSkzoY2rDudJJP3bdnPBjJ87aFnuPycJWzctY/fPutE0k6SWR0OQzmXhAgXf3Mr\n82d3cPk5Szj5tT28OlIggdDTmcR1PfKeltqMtp0tFEv/6nrqb52pBHnX8/edBCNukS4nWWZb0wkh\nU3A5/Y8fZvvnfo3L/uEJNu8ZKNsH2LnuvQwM5QG49r6d3PzRM7jsH55g3QfezLr7n2LzngE2fupX\nSvtA3eNwf90H3kyHk+Da+3aW2rplzZkMDOW59r6dZWVvWXMmxSDaT1Q2iN0zVqyeDxZe80CDpJk8\ne69//7SfoxHX34jrmGYmpLONfAHvz+rkKXBuowRpBI6TYHbwMBETI2YcBfYe9lisT1oTs03xoR3v\nhdmNeFHtftz0vX4++e6TSYi0jV4aR0bUhs3qEFThPV/7Pq6nfP0jfbz/e/187T+eLZXf/aXzS35F\nXE+5/8mfs/tL57P8T/4D1xv9s9ZJCM988X0l/Zvd6Z+jOz1qJzxVTrnuwar1EiLMdhJ4qpz+hYf4\n6Z+8j+XrvguM+jip3PevwSmdI/RpUs33SbROveOo75SwzTAtPFdl2agtNFtpGI2nYX8FqOo5dbYZ\nNTFizDzsPeyxWJ8YhjFZzG7EC7sfxlQxnHNL/j+Aqr5IXhjMjPFDUstnSSZfP7JMJl8ct15YJnqO\n6PkrZQmvIerTpJrvk3ryVyvbv3+o1GaYVqu/Ql8t9fy1GIYxfTR8naSIdIvIH4rILcHxySLy642W\nwzAmQ7v6B6iH9YlhGJPF7Ea8sPthTBXdqWTJ/0foIyTcD3XrmO7UGD8kG3ftG6ODN60+ne5UfR3s\nTiW5afXpdeuFZaK+S0IfJ5X7TkJICsztTtHTmSz5NKn0q1J5XZXyR4/Dsht37WNWOlna//KHTuPA\n4WzV/hrOFXASUt1fy6q+cfvFMIyjo2E+R0onFLkb2AasUdWlQVjfzara11BBJsFMeK/YOHqmwD9A\nrN7PnAra0WdCmzHjdNZoPg2wGy3pv6FZmB2PBTNCZ4tFj1zg/6O7I0k2XyztZ/LF0g/7vFuk4GmZ\nzmWL3qifkVSSRGL8LvE8JVMo1q0XlulKJUq+S/KF0fNH94dzLh0JwQ1+GoU+TUYKY32feN7odXU5\nCUbcUfmjx2HZrnSCXMHvm650IiiXJF8s76+iKl1OEtfzHa9GZetOJUkmYzM2Y/V8YD5HzOfIBJiQ\nzjZjhC1W1a8ABQBVHaGBA8xoH6Y6XKTjJJjdmcIr+t+aiaS0ZBjKqeyXsE/Cd9OP9oHaQnwaxtQS\nxzE1U2xpK1FPD6bajhszn1CfKsPTZgpFOtNJEgnIF4If+umEPwGSSjCcd0HA9ZRUQsjkXLrTyZJT\n12y+CAqKkq8IZRsNrxvqsecpCSCTCycvXDJ5P5RuNu/6bQROXEfyHl2pJMM5l1QdHfcIJkXSSdIJ\nGCn4EyKZfJGOhPgTPuHESM6lM5koTdC4hSKqiiQEVcUtFOlMJQkuCg+/Xs716EgII67fXwDZfJGO\nYCw6ToLOtENn2ikbmzGaGDGMGUszRlk+WC2iACKyGMg1QQ5jBjNd4SJbPQxlnOWPs2yG0YrEeUzF\nWbaZhvW1MZWE+nT7pufGhKcNQ90Wih6Hsi63b3qO/3k1VxYK95TrHuS2Tc9xKOdyW2WI3KCtfBCx\nJgxle+Xd2xkpFEthb8Ow09FQuKdc9yAXr9/GoRGXnOv5kybjhOWtDOV7+6bnOJR1uXj9Vg6P5DkY\nydv07AEywbWXwvhueq40trJ5t6z8Jeu3cTDrT/Dctum5svC+SeBgbrTsxeu3MpjJczjnWqhew2gy\nzZgc+Tzw78AJInIn8DDwmSbIYcxgRtwiazdsZ/OeAVxP2bxngLUbtjPi1nfw1ax2G0Wc5Y+zbIbR\nisR5TMVZtpmG9bUxlYT6tHLpAobzRa66Zwcrly7g6nt3sHnPAJedvQRVSmU+fc+TZfmup6xcuoC1\nd20fUy9sy/UU19OS3l529hIOZ12uuqe8jYOZQlna5j0D/N7d23E9JecpBzMFhrK+jCsWH1uSKTzn\nBX3Hl42NlUsXlI4TiURZ3orFx445X7R8MbjmynFWVMrKXXb2EvKesvau8rJX3bODg5kCmYKNS8No\nJg2PB6WqD4nIE8BZ+K/TrFXVl8N8EXmzqj7VaLmMmcV0hYts9TCUcZY/zrIZRisS5zEVZ9lmGtbX\nxlQS6lO18LTgh6QNw/VGQ9lWC3dbK+ytBC/bR/Oix7XSwuOeTl+3xwvLWxnKN5pXOW7mdKWY3Tnx\n8uF5Z3U4NfunsuwJvd2lazcMozk05eU1VR1Q1QdU9d+iEyMBf98MmYyZxXSFJ2z1sIdxlj/OshlG\nKxLnMRVn2WYa1tfGVBLqU7XwtOCHpK0MgVsr3G2tsLdhONtoXjTsba008HV7KOtOKCxvvbDClePm\n0Eihqgy1yoeyDOfcMddZq+wLgxkbl4bRZOLo2cfmTI2jZrrCE7Z62MM4yx9n2QyjFYnzmIqzbDMN\n62tjKgn1qVp42jAkrQilMl+98K1l+aVwt6urh8jduGvfmFAE6GD2AAAgAElEQVS2Nz/az+xOZ0wI\n3Wgo3FC3v/6RPpyE0JGQccPyVobyjYbh9TyvLG/z7pfHnC9aPhlcc+U4SwpjwvumE8KNq8vL3nDh\nacztTlmoXsNoMg0P5TseIvKEqp7RbDmizJRwfe3GdIUnPIp2YxH2LM5hG+MsW5sSC501jpw4j6lp\nlG1GhEWdSuKsBwbQYjob6lN3OjkmPG0Y6jaBH4a2FGY3Ego3k3NxEoLrKV3RELlB6N+udIKi6+Ex\nGso2m/d9cYRhb0M9jobCzeRcEgmhI5mgUPSdso4XlrcylG8qIbhBNBq3UCRXJcxv9HydTrI0tqqV\nd1J+ua5Usiy8rwOlsplckYRAh5NopYg0sXo+sFC+Fsp3AkxIZxv6wqmICPB6VX2hkec12hPHSTA7\nePib3ZmKfbuNIs7yx1k2w2hF4jym4izbTMP62phKovrU3TH6Y352Z5AW+ProrEgPP3sqdLBUL+IH\nJ5lOlLXRXeEjJ9Tj6CRftN1wkiFdIfvsZLksnWknIme5XOm0U6of5kXbC88X9kW18tFyPcny/kmX\n8s3/j2HEhYaORlVVEfkX4Mw6xfKVCSJyArAe+F/4YcJvUdUbReQG4DeCOruBT6jqQRFZCDwN/DRo\n4oeqemnQ1pnAHUAX8B18h7BHtXzG/pExDCPumJ2KF3Y/jKnGdMqYCir1KJ0QnGSCEdej0/FXXoQr\nNhyhtJKicuUIZSssinSlgjaSCVxvdFVHQvxyYdlw9UinkyjJEa4aCXGEslUlwzmX7lSylVZdGG1E\nnFe1TIY4X8dUrmpphhX5oYgsr5WpqmdVSXaB31fVN+FHublcRE4FHgKWquppwDPAtZE6u1W1L9gu\njaTfDFwCnBxs5x3NxYTx3qNxzQczeVw3fnHKXdfjcLaAp8rhbCGWMhpGnJgpY6aV7FQ97H4Yxlhc\n1yOTc3llxHTKODqq2aYR12Mgk+exZ/YzOJynf/9hhvIujkAmKH/bpj289EqWS9Zv48q7t5PJuwxm\n8ly8fiunXPcgt23aw8Bwnmd/cYisW0Tw6xY8j2zQxsXrt3Ll3dsZzORxEpTkuPLu7WQKbmlzBPKe\ncijrlsk5MJwnm3fJ592y74nocSZXPd/GiWEYIc2YHDkH2Cwiu0Vkh4jsFJEd9Sqo6j5VfSLYP4y/\nKuR4Vf2uqoZunX8IvL5eOyKyAJijqpuD1SLrgQ8ezcWE8d4r45qPuPGKU24P4z4z5ceVUc503NeZ\nNGZaxU7Vw+5HczCbGW9c12NwJM/+wzmuuKs1dMqIL9Vs08FMgbV3bWfF4mNZu2E7i+fP5mCmQM5T\nDmYKXHXPDlYuXcDV9+5g854BLjt7CUPZIlfds6PUzsqlC0p1XU/JB3VVKbUR1r3qnh0UPC3JEbYX\nbjlPcSP5UX3PF5WDkUmT/v2HS8dX3r0dhLL8S9Zv42DWpeh5DAV2bijrksm5ZPP+lslFtryL58XL\nV6NhGFNLMyZH3gcsBs7FfyXm14PPCRG8MnM68HhF1u8AD0aOTxKRH4vI90Xkl4O044EXI2VeDNKO\nmHpxzeNEHB7Gm/2QPZN+XLUDE9WX6bqvcRgzU0Wr2Kl6NOp+NMJOtcr9MJsZf0bcImvv2s4Jvd0t\noVNGvKlmm0LdmtOVYsveQXo6HU7o7WZWh1PKW3JcT6nekuN6xuhjmN/T6TCnK1WqO6crVVY2LBeV\nI2wv3GZ1OCVZooTtR78nFs+fXTbJUqwxqZIrKhcHdu7i9VsZzOTJuh6upxQ8j0zBZSRwolpwizZh\nbBgzmIZPjqjq89W2idQVkR7gXuBTqnookn4d/qs3dwZJ+4ATVfV04ErgH0VkDtW91FadAhaRS0Rk\nq4hsPXDgQE2Z6sU1jxPNfhiPw0P2TPqxW42J6mwrMBl9ma772uwxM5XE1U5NRmcbcT8aZafiej8q\nmek280iIk511Xa80Lvr3D7WEThmNZzI6W802vTCYYfnCXg6NFFi+sJehrMsLgxmGc24pL6p//fuH\nSukhYf5Q1uXQSKFU99BIoaxsWC4qR9heuA3n3JIsUcJ60e+Jns7ySZZ63yNRO3fVPTs4mCngeooq\nDGX9CDeuwqsVK09swnh6iJOtNdqLlvFcJCIp/ImRO1X1vkj6RfirT347dKyqqjlVHQj2t+E7az0F\nf6VI9NWb1wM/r3Y+Vb1FVZep6rL58+fXlCuM914Z17zLiVec8mY/jMfhIXsm/ditxkR1thWYjL5M\n131t9piZSuJqpyajs424H42yU3G9H5XMdJt5JMTJzo64RX424P+w/MtH+vnyh06LvU4ZjWcyOlvN\nNvV0JvnqhW9l8+6XuXFVH7sPHGZud4qOhDC3O8UNF57Gxl37Svp386P99HQmueHCUX3cuGtfqa6T\nENJBXRFKbYR1b7jwNFIJKckRthduHQnBieRH9T0pUvY9MZQtn2Sp9T3Sv3+oLG3L3sHSypZwdYtb\n53Wedp4wni7iZGuN9qIlnnCCEMB/Bzytql+LpJ8HXA38qqpmIunzgUFVLYrIInzHq3tUdVBEDovI\nWfiv5awB/uJoZHOcBL3daW5Zc2asPcSHX3hrN2xny95Bli/sbeiDUxwessMvxc17Bkpp4Y8rC20Y\nLyajL9N1X5s9ZqaSVrFT9WjE/WiUnWqV+2E2M97M6nD47L/s4ssfOo2r793B1x76KX/6W2/hxHnd\nsdUpI95U2qZMzmUkX+TebS+wcukCemel6UonS9Fqup0E6WSa33nXIrrSCb9e2o9Wk0p63LpmGd0d\nSYayLopyTHcHnU4S1/PrhtFq0sl0qWw2XyRf1DI5otFqXMWPoNPplNnQ+554keNmd5R9T+w+cLh0\nfPOj/Xzpt94y9ntkdR8bHv9ZWT8sX9jLC4MZ5nb7du5gpsCJ87oBmv4saxjG9NIqo/mdwMeAnSKy\nPUj7A+AmoAN4yJ8/KYXs/RXgCyLiAkXgUlUNrdlljIbyfZByPyVHRDTee1wfGJv9MB6Hh+yZ9GN3\npjMZfZmu+9rsMTPVtIKdqkcj7kcj7VQr3A+zmfFmOOfyi0M5vvrdn7LuA29myXE9vDCYYSRfbGlb\nZTSXEbfIwFCe2zc9x5p3LOSuH/2MlUsXsOS4Hg5nC6z/r72sXLqAN/R2kfOUS9ZvY90H3sy6+58q\n2c7HPnMOn/mnHdy0uo980eM1XQ65gsexPR0kkoJbhHyhSNpJ0plO8tIrIyQELl6/g69eeBrzZ6UZ\ncYt0pUZD+3Z3JBnJF/FU6Uw7DGVdEkIp/2MrFpZCD//Nx86kp9P/nuhISNkky9yKSZWOhLD67Sey\nec9gyc7dcOFp9HQ4OAmhqEpPZ5LhnIsqTX+WNQxjepHgTRSjDsuWLdOtW7c2W4yWJnyXv/Ihu7c7\n3dAHONf1GHGLzfqxW83nzbTQ6jo7WX1p8n2dybSVzsbFTsWJFh1bDdHbZutsVX1d3UdvV/vqawsT\nG50tFj0O51yGci73bXuRD57+eq6+dwdb9g5yxblLWPW2E1m7YTuvndPBH13wZnKux4bHf1a13IYf\n+ekDw1ne+No5DOXcUt1Pr3xjWfvV0kK9vml1H7M7HHKuRzIpuEVFBJL+H6Nk8sXSOPiL1X2c+Ybe\nsnOfdGwPQzmXnS8e5Nw3HserWbds3Nzx8WUUPKW7wyGTK5IQf0ULQBicxhF/1Up4DfYdEa/ng4XX\nPNAgaYw4svf690+k2IR01iZHJkCzH4BmCi36kD2VxOqLJO6YvsSCttNZ07sZQWx+aE43pq8zhljp\nbLHokXM9PIWudIJM3texTL5Il5NgxPXoTifJFookwJ9YSCdHy+WKdKX8cl2pRFAvSdHzyHtaWsXh\nqdIVqZctFPG8sefsTiVJJATPU7JukSRQ1NEJDAIZouNgxC2WZApfA/IUOlMJvKJHrqJ8IiHk3eKY\ndrLF0Wt18KM45CvKtOmYi9XzgU2OtDdTOTnSKq/VGDOAVlhGbsQH0xejGZjeGa2E6asxHSSTCbqT\noz/4Z3f6+z2Bb42eIK877R93VpbrLC8Xpjsk6AjKdkf8dIT5YXvVzgmQSEhZmSijMvjjYHRcBOeO\nTmAkE6QrygN0pp0x7fQ4Y2XrqFLXMIyZQVtOdRqGYRiGYRiGYRiGYYTY5IhhGIZhGIZhGIZhGG2N\nvVZzlNj7voZhTBVmT5qH9b0RJ0wfjbjhul7Jb0d3R5JMzqUrlSTneiSk3O9I1NdHqMfVfIxU+hPJ\nFIolHyW18juTCTzPwwvkKkR8mDiBRwFXKZMzDB+cgDG+RmxcGYYRxSzCURB6ir9k/TZOue5BLlm/\njcFMHtf1xq9sHDGu63E4W8BT5XC2YP3dQKzvpw+zJ82jGX1vY8mohet6DI6YLTDiget6ZHIuWbfI\nUM7l4vVbOeW6B3ns2QNkg4mRQzmX2zc9x0uvZEufbrFYsqtX3r2dwUye24K8ULcv/uZWXh7O4boe\nLw/nuO2xPWPyB4bzpfz9h0ZKTl1dTzmUdUvtJwQ8IBPY81DOZ/cfJuv6jmMPBuUrx1U+746xx5m8\nSybnMpR1KXqj9jqfd8kGW7ROsWjj0zBmAjY5chSMuH7osM17BnA9ZfOeAdZu2M6IW2y2aDMW+wHZ\nPKzvpxezJ82j0X1vY8mohet6ZApF1t5ltsBoPqGtOpxzKSolO3n+WxZw5ht6yRc98kVl7V3bWbl0\nAVffu6P06SSTpfKXnb2Eq+4ZzSvT7bt83Y62Ec2/4q4fl/Lnz+4sTYy4npa1X/CUgqcczBS46p7R\nNhbPn43rKblI+cpxFZ00uX3TcwzlXTJ5N5jQGZ2weXFweMzETGjDB4bzNkFiGDMAmxw5CmZ1OGzZ\nO1iWtmXvILM67G2l6cJ+QDYP6/vpxexJ82h039tYMmoRvoJgtsCIA6GtmpV26Ino5eXnLGHthu04\nCSnp65Ljeso+o3pcmRclWna8/FkdDrM6HOZ0pZjTlSprP8w7obe7rI2eTr98vXEVtccrly7gYKbA\nULY4ZkLnmFkdYyZmojY8UzAbbhitjk2OHAXDOZflC3vL0pYv7GU45zZJopmPPTQ2D+v76cXsSfNo\ndN/bWDJqMavDoX//kNkCIxaEtqq7I1mml9EJkDC98jNqVyvzoixf2MuhkULd/LCt4ZzLcM7l0Eih\nVCdsP8x7YTBT1sZQ1i9fz85H7fGS43o4obe7NMkSnbCpNjETYjbcMGYGNjlyFHQ5SW5c1ceKRfNw\nEsKKRfO4cVUfXU6y2aLNWOwHZPOwvp9ezJ40j0b3vY0loxbDOZeNu/bx5Q+dVq6Pq80WGI0ntFUv\nvTJSppfhJMbhEV9fb1zVV8oPP91isWRXb360nxsuPK2qbv/5qj42736ZP4+0Uan7rqfccOFpHDic\nJZ0QnGCLtp9KCKmEMLc7xQ0Xjrax+8BhnITQESkftfMdCSmzx/37h3hhMFOaZIlO2FSbmAkxG24Y\nMwNR1WbLEHuWLVumW7durZpnHuWPjsn2X/j+69oN29myd5DlC3u5cVUfvd3pVuh3adSJ6unskdKo\nvm/nMRXDa29pnZ0ME+n7qbo/LW7HWoGG6O1U6WylXhU9Zf1/7WXl0gUsOa6H4ZxLd6rptsCYXmKp\ns6EPnO5U0v9MJxnKufSknbLINdl8kaJqWXSa0EaOuKPRa2Z1OOQLxVJkm+FckZ5Oh6Gsy+4Dhzn5\nuDk4idF/bj38qDNO4Gw1QXkkmnyhiBf8jEmIn69APhKRJp3wu1aD+tFoNamEIMCrWbdkj684dwlr\n3rEQ1/PIFjzu2/YiHzz99Vx97w6+/KGl9M7qACCTL46x4fNmpUkm22acxur5YOE1DzRIGiOO7L3+\n/RMpNiGdtfVfR4njJJgdPLDM7kw1WZrW4kh+IDhOgt7uNLesOTNOPyDbgkb0fbv/aDR70jzG6/up\n1E2zY0ZIVb1a3cf/+eVFdKaTNjFiNI1QNzf86GelyYEtewf5i9V9rFh8LEM5l6vu2cF5S1/L+5Yu\nIJWEwciEwRXnLmHV204sq//aOR18euUbyyYcQr2/+aNnAIogeFDy7ZF2EuQ9xUkIGdcrO+8Ffcfj\neh6pZIKOZAJXYSjnVrXT+aKHq9Cd9idVkiK4HnSmEsztdMbY47zn0Z2C33nXIrrSiVK+WyjiAXMq\n6nSnku00MWIYMxYbxUbTOFKnhI6TYHZnioQIsztT9tDYQKa7781RpRFXplo3zY4ZUEOv7tpOUdV0\nw2gqoW5WRpBZsfjYsogwF/Qd7ztnjUSnCR2bVtavF7XmYKaA6yn5IOqMG0SeKQb7lZFoLug7vuQ4\nVZVSnVp2urvDoafTIZlI0Jl2SsdOMkE67Yyxx92RMsnEqL1Opx06gy1axyZGDGNmYCtHjKZxJE4J\nY/jaQVvQqH43R5VGXJlK3TQ7ZkR1YN0H3sxfPtLP/U/+HDCbZzSPqF4mRfjKh0/j+GO6+JuPnQEi\nzApejzlxXndJb0PnpJU2slqEmnpRa07o7UYqFr3P7kyVpXWnR88xpytVWuUXLVPLTnuqZHIu3Wl/\nbGUKRbpSCQpVQqh7kVd3wjqJRMPeIjEMo4nY05jRNCbrlDBc4hmNKz+YyeNW+WIzpo5G9rs5qjTi\nylTpptkxo1IH1t3/FJ9+7xv5wFtfB5jNM5pDVC+vvHs7g5k8n/mnHfzgmf1kCx53bHqOl17Jlunt\nZ9//JoayLlecu6TMRn7gra9jKOuOcWhaL2rNC4OZUlSZ0PHpC4OZ0n5lJJowP1ovPGeU5Qt7Gcq6\nnHLdg1y8fhuHswUGhnPc9tgehrJu6fWdcMsG/XDx+q2lOgPDOTzPfDQaRjvQEpMjInKCiDwiIk+L\nyFMisjZI7xWRh0Tk2eDzmCBdROQmEekXkR0ickakrYuC8s+KyEXNuiZj8hEi7JWL5tDIfreILUZc\nmSrdNDtmVNOBq+/dweXnLDGbZzSNqF6Gr79s3jPAGSf2Vn29ZvOeAYbzRe74z+e46B0nlUWnufyc\nJXzzv54ri14TRpW5sUZUmrndKRIC6SDqjBNEnkkG+5WRaL69/SXmdqfo6UwiQqlONTv9xPODJZlf\nyRS44i7/ehTGTI5EX90J61xx13YyBbPRhtEOtMq6TRf4fVV9QkRmA9tE5CHg48DDqnq9iFwDXANc\nDbwPODnY3g7cDLxdRHqBzwPL8B1XbxOR+1X1lYZfkTFpp4T2ykVzaGS/m6NKI65MlW6aHTNq6cDJ\nr+3hljVnms0zmkJUL6OvvfR0OnVfhbnpe/1cfu7JvPEPH2LzNedw65pldHckef9N/fQfGObyc5bw\nurmd3LpmGV3pJOD7I3nd3E5u/ugZzO5M0b9/iNmdDr//rSe5/rfeQgJKIXs99fc9oNtJkE6mS+fw\no9WMjhVH4DUVjlK3PT/Ix+/YWiZzeD2Vr/GA/ypPtfHZnbYJS8NoB1ri21dV96nqE8H+YeBp4Hjg\nAuCbQbFvAh8M9i8A1qvPD4G5IrIAWAk8pKqDwYTIQ8B5DbwUo4LJOCW0Vy6aQ6P73RxVGnFlKnTT\n7JhRTwfM5hnNIqqX0ddeqr0eExK+5hLmLf/S91CUnw346fc/+XNW/vkPWHLdg7w8lOOjf/s4/fuH\nWXf/Uyy57kH6vvAQi//gO6y7/yky+SK/OJTj+cERLrpjK6d8biO/9LmNnPr5jVx0x1ZchXTawQMu\nXr+VQyMFsq5HUZWiKv9zKMdFd2xl7+AIA0N5hnMuA0N5/ub7z9WU+dBIYcwWfXUnZPnCXjJ5Wzli\nGO1Ay30Di8hC4HTgc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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f396780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.pairplot(srr_df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/james/anaconda3/lib/python3.6/site-packages/statsmodels/nonparametric/kde.py:475: DeprecationWarning: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.\n",
      "  grid,delta = np.linspace(a,b,gridsize,retstep=True)\n"
     ]
    },
    {
     "data": {
      "image/png": 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ofxcd3jy1P5c+uZjXlmdz9aQ0v8vxXTB7COOBTOfcVgAzexmYBdQMhFnAL73p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\nzQB+DlzgnDtU46n6ulTxlXN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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1217d39b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(srr_df['r_dist_km'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/james/anaconda3/lib/python3.6/site-packages/statsmodels/nonparametric/kde.py:475: DeprecationWarning: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.\n",
      "  grid,delta = np.linspace(a,b,gridsize,retstep=True)\n"
     ]
    },
    {
     "data": {
      "image/png": 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beypGVU9TRzePbTrC+TNTWOKFO6mC1cTEaOKjwvQpbR+niSIA7Kto0rudhpAQ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\nJU0USimlXPr/7vHccG0kKzIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12176e5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(srr_df['r_elev_delta_m'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37.6 hours to read files\n",
      "('agp', 'bch', 'bgp', 'bim', 'bsh', 'chm', 'chp', 'csv', 'dan', 'dpo', 'frw', 'gem', 'gnf', 'grm', 'hnt', 'ksp', 'mhp', 'psr', 'qua', 'slk', 'stl', 'swm', 'tmr', 'tny', 'tum', 'tun', 'ubc', 'vlc', 'whw', 'wtm', 'wwc')\n"
     ]
    }
   ],
   "source": [
    "st_list = tuple(srr_df[srr_df.r_elev_delta_m < 99999].groupby('st_code').groups.keys())\n",
    "num_files = 288\n",
    "num_stations = len(st_list)\n",
    "h = num_files*(5 + 15*num_stations)/3600\n",
    "print(h, 'hours to read files')\n",
    "print(st_list)\n",
    "# for one file\n",
    "# extract points ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "st_list = [st for st in st_list if st not in st_list_old]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['agp',\n",
       " 'bgp',\n",
       " 'bsh',\n",
       " 'chp',\n",
       " 'dan',\n",
       " 'frw',\n",
       " 'gem',\n",
       " 'ksp',\n",
       " 'mhp',\n",
       " 'slk',\n",
       " 'stl',\n",
       " 'swm',\n",
       " 'tum',\n",
       " 'tun',\n",
       " 'ubc',\n",
       " 'vlc',\n",
       " 'wtm',\n",
       " 'wwc']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "st_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function pandas.io.pickle.to_pickle>"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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