process_neon_data_09122020.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import os\n",
    "import xarray as xr\n",
    "import rioxarray as rxr\n",
    "import rasterio as rio\n",
    "# import regionmask\n",
    "from fiona.crs import from_epsg \n",
    "from shapely.geometry import Point, Polygon\n",
    "import h5py as h5\n",
    "from glob import glob\n",
    "import json\n",
    "import dask as da\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "from rasterio.warp import reproject, Resampling\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_extent_from_neon_h5(fi, nid='CPER'):\n",
    "    \n",
    "    ds = h5.File(fi, 'r')\n",
    "    map_info = str(ds['CPER']['Reflectance']['Metadata']['Coordinate_System']['Map_Info'][()])\n",
    "    epsg = int(ds['CPER']['Reflectance']['Metadata']['Coordinate_System']['EPSG Code'][()])\n",
    "    data_shape = ds['CPER']['Reflectance']['Reflectance_Data'].shape\n",
    "    \n",
    "    # produce the affine transform components\n",
    "    parts = [p.strip() for p in map_info.split(',')]\n",
    "    aff = [float(p) for p in parts[1:7]]\n",
    "    \n",
    "    px, py, ul_x, ul_y = aff[:4]\n",
    "    py = -py\n",
    "    \n",
    "    num_rows, num_cols, num_bands = data_shape\n",
    "    \n",
    "    # produce the points for the extent polygon\n",
    "    ul = Point(ul_x, ul_y)\n",
    "    ur = Point((ul_x +  num_cols*px), ul_y)\n",
    "    ll = Point(ul_x, (ul_y + num_rows*py))\n",
    "    lr = Point((ul_x + num_cols*px), (ul_y + num_rows*py))\n",
    "\n",
    "    extent_poly = Polygon((ul, ur, lr, ll, ul))\n",
    "    \n",
    "    return extent_poly, epsg\n",
    "\n",
    "# make function for reading h5 tiles\n",
    "def read_h5_file(fi, nid='CPER'):\n",
    "    # Read H5 file\n",
    "    f = h5.File(fi, \"r\")\n",
    "    \n",
    "    # spectral\n",
    "    wavelength = f[nid]['Reflectance']['Metadata']['Spectral_Data']['Wavelength'][:]\n",
    "    fwhm = f[nid]['Reflectance']['Metadata']['Spectral_Data']['FWHM'][:]\n",
    "\n",
    "    # CRS\n",
    "    crs_str = f[nid]['Reflectance']['Metadata']['Coordinate_System']['Coordinate_System_String'][()]\n",
    "    crs_epsg = f[nid]['Reflectance']['Metadata']['Coordinate_System']['EPSG Code'][()]\n",
    "    crs_mapinfo = f[nid]['Reflectance']['Metadata']['Coordinate_System']['Map_Info'][()]\n",
    "    crs_proj4 = f[nid]['Reflectance']['Metadata']['Coordinate_System']['Proj4'][()]\n",
    "\n",
    "    #arr = f[nid]['Radiance']['Radiance_Data'][:]\n",
    "    arr = da.array.from_array(f[nid]['Reflectance']['Reflectance_Data'], chunks=(256,256,256))\n",
    "    arr /= float(f[nid]['Reflectance']['Reflectance_Data'].attrs['Scale_Factor'])\n",
    "    \n",
    "    mapinfo_list = [a.strip() for a in str(crs_mapinfo).split(',')]\n",
    "    mapinfo = [float(a) for a in mapinfo_list[1:7]]\n",
    "    mapinfo\n",
    "    pix_size = mapinfo[0]\n",
    "    x = np.arange(mapinfo[2], mapinfo[2] + pix_size*arr.shape[1], pix_size)\n",
    "    y = np.arange(mapinfo[3], mapinfo[3] - pix_size* arr.shape[0], -pix_size)\n",
    "\n",
    "    xr_cube = xr.DataArray(arr, {'y': y, 'x': x, 'bands': wavelength}, dims=['y', 'x', 'bands'])\n",
    "    xr_cube_ma = xr_cube.where(xr_cube != -9999)\n",
    "    \n",
    "    # add in CRS assignemnt!!!!!!!!!!!!\n",
    "    xr_cube_ma = xr_cube_ma.rio.write_crs(int(crs_epsg))\n",
    "    \n",
    "    return xr_cube_ma\n",
    "\n",
    "def resample_h5_spectral(neon_file, weights_file):\n",
    "    \n",
    "    nis_ds = read_h5_file(neon_file)\n",
    "    \n",
    "    \n",
    "    with open(weights_file, 'r') as fb:\n",
    "        weights = json.load(fb)\n",
    "    \n",
    "    sample_bands = []\n",
    "    for k in weights.keys():\n",
    "        b_weights, b_ids = weights[k]\n",
    "        sample_band = (nis_ds.isel(bands=b_ids)*np.array(b_weights)).sum(axis=-1)/ np.array(b_weights).sum()\n",
    "        sample_bands.append(sample_band)\n",
    "            \n",
    "    \n",
    "    sat_ds = xr.concat(sample_bands, dim=list(weights.keys())).rename({'concat_dim':'sat_band'}) # 'sat_band' will be new at dim=0\n",
    "    \n",
    "    return sat_ds\n",
    "\n",
    "def check_valid_pixel_overlap(neon_file, geometry, weights_file):\n",
    "    \n",
    "    nis_ds = resample_h5_spectral(neon_file, weights_file)\n",
    "    #print(nis_ds.spatial_ref)\n",
    "    \n",
    "    try:\n",
    "        sample_clip = nis_ds.rio.clip([geometry])\n",
    "        sample_im_clip = sample_clip.sel(sat_band='L8_Coastal')\n",
    "        \n",
    "        # count pixels vs total\n",
    "        total_pixels = sample_im_clip.size\n",
    "        gt0 = (sample_im_clip > 0.0).sum()\n",
    "        valid_frac = gt0.values/total_pixels\n",
    "        \n",
    "        print(f'valid fraction: {valid_frac}')\n",
    "        if valid_frac > 0.99:\n",
    "            return valid_frac\n",
    "        else:\n",
    "            print('valid pixels are not above 99% of AOI, returning False')\n",
    "            return valid_frac\n",
    "    except Exception as e:\n",
    "        \n",
    "        print(e)\n",
    "        print('not in bounds...')\n",
    "        return 0.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#geodataframe for file extents\n",
    "h5_files = glob('../../NEON_spectrometer-orthorectified-surface-directional-reflectance---flightline/*.h5')\n",
    "polys = [gen_extent_from_neon_h5(fi)[0] for fi in h5_files]\n",
    "desc = [os.path.basename(fi).split('.')[0] for fi in h5_files]\n",
    "epsg = gen_extent_from_neon_h5(h5_files[0])[1]\n",
    "\n",
    "fl_gdf = gpd.GeoDataFrame({'geometry': polys, 'filename':desc}, crs=from_epsg(epsg))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load AOIS\n",
    "aois = './aois/cper_aois.shp'\n",
    "aoi_gdf = gpd.read_file(aois) # replace with shapefile or other\n",
    "aoi_gdf['area_aoi'] = [g.area for g in aoi_gdf.geometry] # column for area\n",
    "aoi_gdf.rename(columns={'desc_': 'desc'}, inplace=True)\n",
    "aoi_gdf.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate the areas of overlap of AOI geometries within each flightline\n",
    "aoi_overlap = gpd.overlay(fl_gdf, aoi_gdf, how='intersection')\n",
    "aoi_overlap['area_ovr'] = aoi_overlap.geometry.area\n",
    "\n",
    "# only save the ones that have full overlap\n",
    "aoi_overlap = aoi_overlap.loc[aoi_overlap.area_ovr == aoi_overlap.area_aoi]\n",
    "# aoi_overlap.area_ovr == aoi_overlap.area_aoi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tarp_outline_1\n",
      "No data found in bounds. Data variable: truediv-eb0a4d9cf7187038c89e1c765b3e669f\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-1ed2fef22d70ab116d8229f8ceb72266\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-df7292d178b8e7e277c55601131c5a20\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-db474191de1773997ba48e8ed96d3e75\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-b31f4fc97c9c09cd850a009bf386a129\n",
      "not in bounds...\n",
      "valid fraction: 0.0\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 1.0\n",
      "valid fraction: 1.0\n",
      "No data found in bounds. Data variable: truediv-1ae3389e6792acf084e6ea617376d652\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-0216fdbe0844f5fb319732cf6185c73e\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-81b29dec2766eb1918d5b9f6f35c6f00\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-43fed43af725faa11eb289f987113522\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f2b48fef24064f78e63aacabe2f0fa94\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-aab152f7d350f15c4fe8cb3b8d1fddb2\n",
      "not in bounds...\n",
      "valid fraction: 1.0\n",
      "tarp_outline_2\n",
      "No data found in bounds. Data variable: truediv-ad661dccd4c3d3be4d41deec8216801f\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-d82b99a357177f01b27ad79df3db5724\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-ff653d768a620a40dc0037486e0f0380\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-17d5b9adace3704515823ed17a21125a\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-561b51b8b7cd7497ebbd97563580ced6\n",
      "not in bounds...\n",
      "valid fraction: 0.0\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 1.0\n",
      "valid fraction: 1.0\n",
      "No data found in bounds. Data variable: truediv-9cd263faff7d03556122bf4fad11fd28\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-436774e69b36730568e91abffff9be23\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-a21f72cd38793a2f0c8b6183e7cfb1cf\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-42c9019f9dac6911ab6a6b2fa71e2447\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-baaaad58cc1791b1eceda8b3b3707d94\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-ab458a802eb2083fbc6d2d68e0f2c325\n",
      "not in bounds...\n",
      "valid fraction: 1.0\n",
      "riverbed_1\n",
      "No data found in bounds. Data variable: truediv-c1ec974931ae89f1f6a18dd7acbb46d7\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-b462b81bba44f1dd98abb8575567b500\n",
      "not in bounds...\n",
      "valid fraction: 0.2655853038889975\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.5649758326796738\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.6677962318202534\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.1642695702588492\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-81835e8c58f81ee218ab2c3bf8589350\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-9b514035c4be8c8e95f65e656fc846a0\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-e92957804f49037b98249fd9dc3de7a8\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-836ce45e8e6dc55accb5e0d95219e077\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-46d5f1214a8db134b6171a254395d9f7\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-0f401cf9ca059b5efcbc75694bd91d24\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-506de312a7dbee2a3677358d0541373d\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-66b5cc1e28e212ed9aed9c4d182a33b7\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-63deae2fbbbc30c41f12fea1a2445e7e\n",
      "not in bounds...\n",
      "pond_1\n",
      "No data found in bounds. Data variable: truediv-ed89df7e34c802ae975d89a65c8634a9\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-0bbbda815c1016173a2d00c6f27ca606\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-bfe8482c9596049f68664101b2d6a52e\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-0caf0aec4ddcab62b73077f95a3d06bd\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-a05366f94d318cb684b3e1cb5d978f2d\n",
      "not in bounds...\n",
      "valid fraction: 0.0864087912087912\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.9995164835164835\n",
      "valid fraction: 0.5574593406593407\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-b2ab5f3f514f1af9915ad2d2b485bf92\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-19bfa2280a168a2fec1bbcb347aa8d42\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-b9e48d8bad49e6f4f7a8ed558b1fff75\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-85868d77626c6cfe11fb2b3a021c0632\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-191d0c86e7e1abd1addf167c1fad63cb\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-5b77fab257e07552e62e01d6d383d954\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-2985ad28f4b212fce5ba842422b71cca\n",
      "not in bounds...\n",
      "rectangular_patch_1\n",
      "No data found in bounds. Data variable: truediv-dd26b1cc1cd22d4251a3dfa0a478af9d\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f3676cd88bfb0ff48d94208211f7db4f\n",
      "not in bounds...\n",
      "valid fraction: 0.3199597494076022\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 1.0\n",
      "valid fraction: 0.34669525681497804\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.0\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-d05865be2ee5727409af21de361d1f28\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-7436eb0b3ec0f307acad800b99f2223e\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-5ae591ad301612140ab7f9c65a3de27e\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-7a0f4a26abf8b0743a33ee522635130a\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-bdc94a95df2751e86f27deedb630dfca\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-2af8847779a73b11bbb054019380795c\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-e53671d48674183da55755d56a596c19\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-315b45e5644ab7db91486991d2f36906\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-0254f5d876266a1a3583c8cef3f075fe\n",
      "not in bounds...\n",
      "pond_2\n",
      "No data found in bounds. Data variable: truediv-087843d6c05c027e941282f85934e384\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-ca2972e3cc48137f149f4feccd2221ff\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-172e2089b46865461a3511d3a9dfe7f4\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-3bd93ba4c2f441e72b627f17dc923dfc\n",
      "not in bounds...\n",
      "valid fraction: 0.15468830352551283\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.8326016367075675\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.7164793590742183\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.14261804087385482\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-954d14b1dee3d116b80dd2fd43842051\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f3439a3f1691bcab442386f5bb0c0baa\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-74605330038367b58698635a8fc2f692\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-2be7e170b67eac0aabca78145568c17f\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-828008c55bf5605c679512d5a13fd4e9\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-ee35eeaf940e1ae3d7070fba6a9fdcbd\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f19bb7f0d325b36f9a4ab77895899e02\n",
      "not in bounds...\n",
      "riverbed_2\n",
      "No data found in bounds. Data variable: truediv-162056705b7f34af513341c058844205\n",
      "not in bounds...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data found in bounds. Data variable: truediv-b6e819e9c8d69c5630b2eefa450dbd43\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-948843426360a99fc6548de8672e25b9\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-c5bbeba6b3e09037075ac3e40a03a2bf\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-3f5f6fd8eb487791e7610cde95db1d26\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-137473b2fdd4941f20f0d09e8ee94cfe\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f1d2f76f5cc4c854bf8717edb6a6b6e6\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-c05fd16513110932171a574c3c20b24e\n",
      "not in bounds...\n",
      "valid fraction: 0.0\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.49103975761158736\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 1.0\n",
      "valid fraction: 0.32060017602134966\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-da00adc337308889142d603020a895cf\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-a59a7fe201d179a0ca11a8af0372c10a\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-04657b528f350d82132ebb57a5771918\n",
      "not in bounds...\n",
      "trees_1\n",
      "No data found in bounds. Data variable: truediv-74cb1c35c6ef3e175bf70d741287b1fc\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-b9072dc1f491d36e65632a16d331cefd\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-9074108f898d37ce8cea067115b4e0db\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-8b2e6b8ebdd0389a27ef2a77ff2cf087\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-20ede9ac2d52e5f074178c19738a92de\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-c9c6d50fa0a9ea35f357260e1d594cab\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-7ae87903d6b84a9d3691efdc31ce3cc0\n",
      "not in bounds...\n",
      "valid fraction: 0.0\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 1.0\n",
      "valid fraction: 0.8011102251119426\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-fd2094f8d9392e2fcd542a8178767956\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-fde75ed96c3f4dfef2546ab293be8438\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-b1036a59bce1c8f86909682c10e50a32\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f1fd7a5f8d702e4ac0b5075089401746\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-4fe401eed0f135a7d3f710ba4875da0c\n",
      "not in bounds...\n",
      "veg_1\n",
      "valid fraction: 1.0\n",
      "valid fraction: 0.9489100077962321\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-9b8b7953c8ee910e003f271d3eab3b67\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-9618b245b2f91f467ecf13a117a9410d\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-fec1666594f79692cbf522d9277a1180\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-b3653322d291888ecc3692140be0824b\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-0a3da5f02099966c4408c1032e7a04f9\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-919d35766b9b400afc528f44091ad885\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-34b979a936390810fc33ee0097a95075\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-c1d3415adcf2aa0571eae08a496d44cb\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-58cc3bf13a19971a8a0c28a0baed265a\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-3474c6292a8bda1fe8cb42b3f18ba4f2\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-7a8e5ecdfb23879feb6c232ea7af5299\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f3acea488710ce1451bfa496ee6c7cbd\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-9c46d274281b25a2671ac7aa88549458\n",
      "not in bounds...\n",
      "builtup_1\n",
      "valid fraction: 1.0\n",
      "valid fraction: 0.6633211678832117\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-016790d076ab2565c5e8985526613841\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-76d709e593110d79ef7ff005ab76e0a1\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-0365a7083696b3774d82a4ad04d8afbf\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-53220241dd171bad74fadd379fff4a8d\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-8ad538641a2463c8e4708f0e18dee52c\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-2ee3fad4b66bf09be0d066cd1c4456fe\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-c5f6def471ae905694b6202f674a8013\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-e50f15f45c648556047a58d8fab4e32a\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-4824a1929e22ddf945c29e44dbf3166a\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-d2a4edb25484348ca3d2011455eca961\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-c4cdb933464c19ffa236eda7c2ee3ab4\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-9f36c1ad2b1c080b43d57957c7a36da4\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-3817a9d5d9849e03216cda089fc7e20c\n",
      "not in bounds...\n",
      "trees_2\n",
      "No data found in bounds. Data variable: truediv-7541ac59d33ff58267473a094e2d11ad\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-f4bc312c98bcf91b403c98788a816532\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-e233241719731f9f980498595ccc2724\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-d548642096bc1b359627e47f7eb41d2f\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-84fadb6b0601b7ae526eb1b76b1594e4\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-7e9011f9aeef732508113850e4b87d36\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-187cf408159c32b8d64909532ab412f4\n",
      "not in bounds...\n",
      "valid fraction: 0.5299147868167541\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.9623979921549768\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "valid fraction: 0.017373269811689386\n",
      "valid pixels are not above 99% of AOI, returning False\n",
      "No data found in bounds. Data variable: truediv-a48af04a460be2e221c6b64abc7000ce\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-bdfbc5107295df71e230c5fd101e95fe\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-cc332bc0001b4b958f2af3bebb09abb6\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-a789efeffa24d9d6b3ae72cde1926a7d\n",
      "not in bounds...\n",
      "No data found in bounds. Data variable: truediv-19d558b6c2024487521e5b70ba9ab323\n",
      "not in bounds...\n"
     ]
    }
   ],
   "source": [
    "# find the overlapping flightline with each ao\n",
    "l8_weights_file = './spectral_response/NIS_weights_L8.json'\n",
    "\n",
    "overlap_series = []\n",
    "for geom, desc in zip(aoi_gdf.geometry, aoi_gdf.desc):\n",
    "    \n",
    "    print(desc)\n",
    "    #nfi = os.path.join('../NEON_spectrometer-orthorectified-surface-directional-reflectance---flightline', row[1]['filename'] + '.h5')\n",
    "    overlaps = []\n",
    "    for nfi in h5_files:\n",
    "        \n",
    "        vfac = check_valid_pixel_overlap(nfi, geom, l8_weights_file)\n",
    "        overlaps.append(vfac)\n",
    "        \n",
    "    overlap_series.append(overlaps)\n",
    "\n",
    "    \n",
    "# aoi_fl_df = gpd.GeoDataFrame(series, crs=from_epsg(epsg))\n",
    "# aoi_fl_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(array([0, 0, 0, 1, 1, 1, 3, 4, 6, 7, 8, 9], dtype=int64),),\n",
       " (array([ 6,  7, 14,  6,  7, 14,  6,  3, 10,  8,  0,  0], dtype=int64),)]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ov_thresh = 0.99\n",
    "\n",
    "overlap_arr = np.array(overlap_series)\n",
    "overlap_arr.max(axis=1)\n",
    "list(zip(np.where(overlap_arr > ov_thresh)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1c387fe1e08>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(overlap_arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n",
      "1.0\n",
      "1.0\n",
      "1.0\n",
      "1.0\n",
      "1.0\n",
      "0.9995164835164835\n",
      "1.0\n",
      "1.0\n",
      "1.0\n",
      "1.0\n",
      "1.0\n"
     ]
    }
   ],
   "source": [
    "rows, cols = np.where(overlap_arr > ov_thresh)\n",
    "for i in range(rows.shape[0]):\n",
    "    print(overlap_arr[rows[i], cols[i]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "construct filename and geometry index pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# do this smartly\n",
    "ov_idx = np.where(overlap_arr > ov_thresh)\n",
    "_test = []\n",
    "_temp_row, _temp_row_idx = [], []\n",
    "for ix, a in enumerate(ov_idx[0]):\n",
    "    if a in _temp_row:\n",
    "        continue\n",
    "    _temp_row.append(a)\n",
    "    _temp_row_idx.append(ix)\n",
    "    \n",
    "for i,ix in enumerate(_temp_row_idx):\n",
    "    _test.append((_temp_row[i], ov_idx[1][ix]))\n",
    "\n",
    "# assign filename smartly\n",
    "aoi_gdf['filename'] = None\n",
    "for geomidx, fileidx in _test:\n",
    "    aoi_gdf.at[geomidx,'filename'] = h5_files[fileidx]\n",
    "    \n",
    "       \n",
    "            \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>desc</th>\n",
       "      <th>geometry</th>\n",
       "      <th>area_aoi</th>\n",
       "      <th>filename</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>56.563405</td>\n",
       "      <td>175.029482</td>\n",
       "      <td>tarp_outline_1</td>\n",
       "      <td>POLYGON ((521558.002 4518008.657, 521558.170 4...</td>\n",
       "      <td>175.029482</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>54.479200</td>\n",
       "      <td>155.715737</td>\n",
       "      <td>tarp_outline_2</td>\n",
       "      <td>POLYGON ((521576.763 4518020.205, 521576.763 4...</td>\n",
       "      <td>155.715737</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2270.871600</td>\n",
       "      <td>322228.810508</td>\n",
       "      <td>riverbed_1</td>\n",
       "      <td>POLYGON ((522306.667 4521898.897, 522883.033 4...</td>\n",
       "      <td>322228.810508</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1348.775800</td>\n",
       "      <td>113548.628545</td>\n",
       "      <td>pond_1</td>\n",
       "      <td>POLYGON ((521512.615 4519050.678, 521862.102 4...</td>\n",
       "      <td>113548.628545</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1271.502000</td>\n",
       "      <td>100967.725783</td>\n",
       "      <td>rectangular_patch_1</td>\n",
       "      <td>POLYGON ((522644.241 4519348.882, 522953.335 4...</td>\n",
       "      <td>100967.725783</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1781.880200</td>\n",
       "      <td>197722.398591</td>\n",
       "      <td>pond_2</td>\n",
       "      <td>POLYGON ((521750.166 4515215.188, 522168.782 4...</td>\n",
       "      <td>197722.398591</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1611.686000</td>\n",
       "      <td>162327.746536</td>\n",
       "      <td>riverbed_2</td>\n",
       "      <td>POLYGON ((520522.022 4515506.978, 520522.022 4...</td>\n",
       "      <td>162327.746536</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>749.269200</td>\n",
       "      <td>32507.902982</td>\n",
       "      <td>trees_1</td>\n",
       "      <td>POLYGON ((520903.832 4514283.340, 521040.357 4...</td>\n",
       "      <td>32507.902982</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1320.613200</td>\n",
       "      <td>101452.632694</td>\n",
       "      <td>veg_1</td>\n",
       "      <td>POLYGON ((523719.494 4519531.704, 523962.764 4...</td>\n",
       "      <td>101452.632694</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1059.018000</td>\n",
       "      <td>70005.110891</td>\n",
       "      <td>builtup_1</td>\n",
       "      <td>POLYGON ((523777.942 4521429.533, 524033.218 4...</td>\n",
       "      <td>70005.110891</td>\n",
       "      <td>../../NEON_spectrometer-orthorectified-surface...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1031.215600</td>\n",
       "      <td>66437.297830</td>\n",
       "      <td>trees_2</td>\n",
       "      <td>POLYGON ((520925.670 4524024.001, 521178.419 4...</td>\n",
       "      <td>66437.297831</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Shape_Leng     Shape_Area                 desc  \\\n",
       "0     56.563405     175.029482       tarp_outline_1   \n",
       "1     54.479200     155.715737       tarp_outline_2   \n",
       "2   2270.871600  322228.810508           riverbed_1   \n",
       "3   1348.775800  113548.628545               pond_1   \n",
       "4   1271.502000  100967.725783  rectangular_patch_1   \n",
       "5   1781.880200  197722.398591               pond_2   \n",
       "6   1611.686000  162327.746536           riverbed_2   \n",
       "7    749.269200   32507.902982              trees_1   \n",
       "8   1320.613200  101452.632694                veg_1   \n",
       "9   1059.018000   70005.110891            builtup_1   \n",
       "10  1031.215600   66437.297830              trees_2   \n",
       "\n",
       "                                             geometry       area_aoi  \\\n",
       "0   POLYGON ((521558.002 4518008.657, 521558.170 4...     175.029482   \n",
       "1   POLYGON ((521576.763 4518020.205, 521576.763 4...     155.715737   \n",
       "2   POLYGON ((522306.667 4521898.897, 522883.033 4...  322228.810508   \n",
       "3   POLYGON ((521512.615 4519050.678, 521862.102 4...  113548.628545   \n",
       "4   POLYGON ((522644.241 4519348.882, 522953.335 4...  100967.725783   \n",
       "5   POLYGON ((521750.166 4515215.188, 522168.782 4...  197722.398591   \n",
       "6   POLYGON ((520522.022 4515506.978, 520522.022 4...  162327.746536   \n",
       "7   POLYGON ((520903.832 4514283.340, 521040.357 4...   32507.902982   \n",
       "8   POLYGON ((523719.494 4519531.704, 523962.764 4...  101452.632694   \n",
       "9   POLYGON ((523777.942 4521429.533, 524033.218 4...   70005.110891   \n",
       "10  POLYGON ((520925.670 4524024.001, 521178.419 4...   66437.297831   \n",
       "\n",
       "                                             filename  \n",
       "0   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "1   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "2                                                None  \n",
       "3   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "4   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "5                                                None  \n",
       "6   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "7   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "8   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "9   ../../NEON_spectrometer-orthorectified-surface...  \n",
       "10                                               None  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aoi_gdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# try the resample_match technique for landsat\n",
    "landsat_file = '../../OutputsL7/LS7_20200912_lat40lon10589_r32p34_msk_vmsk_mclds_topshad_rad_srefdem_stdsref.tif'\n",
    "landsat_ds = rxr.open_rasterio(landsat_file)\n",
    "l7_weights_file = './spectral_response/NIS_weights_L7.json'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## loop over the geometries and do the groupby method to produce STD and MEAN per satellite pixel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tarp_outline_1\n",
      "tarp_outline_2\n",
      "pond_1\n",
      "rectangular_patch_1\n",
      "riverbed_2\n",
      "trees_1\n",
      "veg_1\n",
      "builtup_1\n"
     ]
    }
   ],
   "source": [
    "# lists to store results\n",
    "res_L7_means, res_L7_stds =  [],[]\n",
    "L7_arrs = []\n",
    "\n",
    "# open the satellite image files\n",
    "landsat_ds = rxr.open_rasterio(landsat_file)\n",
    "for desc, geom, fi in aoi_gdf.dropna()[['desc', 'geometry', 'filename']].values:\n",
    "    \n",
    "    print(desc)\n",
    "    \n",
    "    # spectral resample to each satellite\n",
    "    neon_ds_L7 = resample_h5_spectral(fi, l7_weights_file)\n",
    "    \n",
    "    # clip to current AOI\n",
    "    neon_ds_L7 = neon_ds_L7.rio.clip([geom], all_touched=True, from_disk=True)\n",
    "    \n",
    "    # clip landsat and sentinel datasets, add to list\n",
    "    L7_arrs.append(landsat_ds.rio.clip([geom], all_touched=True, from_disk=True))\n",
    "    \n",
    "    # group by for mean\n",
    "    target_res = 30\n",
    "    reduced_L7_mean = (\n",
    "        neon_ds_L7\n",
    "        .groupby(((neon_ds_L7.x//target_res) + 0.5) * target_res)\n",
    "        .mean(dim='x')\n",
    "        .groupby(((neon_ds_L7.y//target_res) + 0.5) * target_res)\n",
    "        .mean(dim='y'))\n",
    "    \n",
    "    # group by for STD\n",
    "    target_res = 30\n",
    "    reduced_L7_std = (\n",
    "        neon_ds_L7\n",
    "        .groupby(((neon_ds_L7.x//target_res) + 0.5) * target_res)\n",
    "        .std(dim='x')\n",
    "        .groupby(((neon_ds_L7.y//target_res) + 0.5) * target_res)\n",
    "        .std(dim='y'))\n",
    "\n",
    "    \n",
    "    # append to lists\n",
    "    res_L7_means.append(reduced_L7_mean)\n",
    "    res_L7_stds.append(reduced_L7_std)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tarp_outline_1\n",
      "array is too small for anything, continuing...\n",
      "tarp_outline_2\n",
      "array is too small for anything, continuing...\n",
      "pond_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rectangular_patch_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "riverbed_2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "trees_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "veg_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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pkwqY9TyYJElTyThgNCaJkjprf7n0tSRJ08o4YHim15IkSZKkPiuJkjqpiEtfS5I0pYwDRuMnJ0mSJEnqs5IoqbNmXfpakqSpZRwwvFaTxKxdy8xDH9pmk8zedHOr7QFw3LGtNzmzfn3rbdaevS03WO22B+Se/a23SSYwyXp2tt32WvhPWeAwE2mFCZDZdr/LZ7/p5FbbAzj8a3tab3PmzpZ/k4HbTj6y1fYqG1ptD2DmnpZ/H4EnvPj3Wm/ziF0TiHeWmXHAaPzkJEmSJEl9DjeV1ElFXPpakqQpZRwwGiuJkiRJkqQ+K4mSOmvW82CSJE0t44DhmSRK6qQq2O+qZpIkTSXjgNH4yUmSJEmS+qwkSuqoMIsT1iVJmk7GAaOwkihJkiRJ6rOSKKmTCuciSJI0rYwDRmOSKKmz9jtYQpKkqWUcMLyhP7kkJyX5+yRXJ7kyyc+Ns2OSJGllMxaQpG4apZK4D3hFVX0iyQbgiiQfqqqrxtQ3SRpaEWbLCevSMjMWkLQiGQeMZuhKYlXdUFWf6N2/Dbga2DyujkmSpJXNWECSumkscxKTnAx8O/DxBfadDZwNcMTMhnE0J0mL4lwEqT0HigUG44DDDz+69X5Jml7GAcMb+ZNL8gDg3cDLq2r3/P1Vta2qtlbV1nUzR47anCQtSgGztWasN0kLO1gscJ84YN36yXRQ0tRZjjhgMbFAktOTfC7JtUnOOchxT0iyP8mPLvW5bRgp6kmyluZH4R1V9Z7xdEmSJK0WxgKS1EgyA7wJeAbwGOC5SR5zgONeB1y81Oe2ZejhpkkCnAdcXVW/N74uSdI4hP04YV1aTsYCklauicQBpwLXVtV1AEkuAM4A5i/m9TM0J9eeMMRzWzFKJfEpwAuA70/yqd7tmWPqlyRJWvmMBSTpXpuB6wceb2feYl5JNgPPBs5d6nPbNHQlsar+CTxNL2llmpuLIGn5GAtIWqmWMQ44NsnlA4+3VdW23v2Fvg9r3uPXA6+sqv3NYIy+xTy3NWNZ3VSSJEmSpsDNVbX1APu2AycNPD4R2DnvmK3ABb0E8VjgmUn2LfK5rTFJlNRZzkmUJGl6TSAOuAzYkuQUYAdwJvC8wQOq6pS5+0neBvxNVb0vyWGHem6bTBIldVJVHG4qSdKUmkQcUFX7kryMZtXSGeD8qroyyUt7++fPQzzkc9vo90JMEiVJkiRpDKrqIuCiedsWTA6r6sWHeu6kmCRK6qz9VhIlSZpaxgHD85OTJEmSJPVZSZTUSQXMunCNJElTyThgNCaJkjoqDjORJGlqGQeMov0kcU3LGf2aCfzj2HVr603WQ45tv83DWv5st3+13faA3LOn/Tb37W+9zdb/P/HEnjSdqsi+dq8NvebOva22B7Dm9q+33ua+hx7depuZbbe9e46ZabdB4JhP3tJ6m/se96DW25y5ewKxh1Y0K4mSOqmA2TIblSRpGhkHjMYarCRJkiSpz0qipM7a73kwSZKmlnHA8EwSJXVSEYeZSJI0pYwDRmN6LUmSJEnqs5IoqbNmPQ8mSdLUMg4Ynp+cJEmSJKnPSqKkTqqC/c5FkCRpKhkHjMYkUVJnOWFdkqTpZRwwPIebSpIkSZL6rCRK6qRm6WvPg0mSNI2MA0bjJydJkiRJ6rOSKKmz9uNcBEmSppVxwPBMEiV1UuGEdUmSppVxwGgcbipJkiRJ6rOSKKmjnLAuSdL0Mg4YhZ+cJEmSJKnPSqKkzpp1wrokSVPLOGB4VhIlSZIkSX1WEiV1UhXsd1UzSZKmknHAaKwkSuqs2Voz1ttiJDk9yeeSXJvknAX2f2+Sryf5VO/2qrG/cUmSNPY4YJoWwrGSKEljkmQGeBPwdGA7cFmSC6vqqnmH/mNVPav1DkqSJC2CSaKkTioyiYvongpcW1XXASS5ADgDmJ8kSpKkZTShOKAzpqdmKkmjOzbJ5QO3s+ft3wxcP/B4e2/bfN+Z5F+TvD/JNy9bbyVJkoZgJVFSZy3D0tc3V9XWg+xfqMGa9/gTwDdU1e1Jngm8D9gypv5JkqQeL4ExPJNESZ1UMIlhJtuBkwYenwjsHDygqnYP3L8oyZuTHFtVN7fUR0mSOm9CcUBnONxUksbnMmBLklOSrAPOBC4cPCDJQ5Okd/9Umu/hW1rvqSRJ0gFYSZTUWW0vVV1V+5K8DLgYmAHOr6ork7y0t/9c4EeB/5pkH3AXcGZVzR+SKkmSRjRNl6wYt3aTxNlZ6vY7Wm0yh7WfB7f9HgGyZ2/rbd795Ee12t6RX9p56IPGLHfvab1NZibwhdZ2jtLhlKiqLgIumrft3IH7bwTe2Ha/pJWgEmbXtfsdt+e49a22B3D47Gzrbe4/sv14556N7Q7lW3vHBH489rf/33LN3vbf5+E33dl6m1rZrCRK6qZy6WtJkqaWccBITBIldVLhqmaSJE0r44DROFBXkiRJktRnJVFSZznMRJKk6WUcMDwriZIkSZKkPiuJkjrJi+hKkjS9jANGY5IoqbP8cZAkaXoZBwzP4aaSJEmSpD4riZI6qfD6SJIkTSvjgNFYSZQkSZIk9VlJlNRZXkRXkqTpZRwwvJGTxCQzwOXAjqp61uhdkqQxKCesS20wDpC0IhkHjGQcw01/Drh6DK8jSZJWH+MASeqYkZLEJCcCPwS8ZTzdkaTxmLs+0jhvku7LOEDSSrUcccA0xQKjVhJfD/wSMHugA5KcneTyJJfvmb17xOYkSdIK8nqWEAfs3XtHax2TJA1v6CQxybOAG6vqioMdV1XbqmprVW1dt+aIYZuTpCXz7KG0fIaJA9auXd9S7yTJSuIoRqkkPgX4kSRfBC4Avj/Jn46lV5IkaaUzDpCkjho6SayqX66qE6vqZOBM4O+q6ifG1jNJGsHcRXQ9eygtD+MASSvZcsQB0xQLeJ1ESZ1VU/RlLkmS7ss4YHhjSRKr6iPAR8bxWpIkaXUxDpCkbrGSKKmzZvEMoiRJ08o4YHijXgJDkiRJktQhVhIldVIVUzXBXJIk3cs4YDQmiZI6ywnrkiRNL+OA4TncVJIkSZLUZyVRUkdN1/WMJEnSIOOAUVhJlCRJkiT1WUmU1FnORZAkaXoZBwyv5SQxsGam3SbX7G+3vQnJpqNbb/PWh69ttb3D//7uVtsDWHP44a23maOObL3NLipc1UxaaWbXhjuOb/e344hd7ccB+45u/3v8sNv3tt7m3g1HtNrezD2tNtdI+78jD/jyna23uedBR7Xe5nIzDhiNw00lSZIkSX0miZK6qZprJI3zJkmSVolliAMWEwskOT3J55Jcm+ScBfafkeTTST6V5PIk3zWw74tJ/m1u33g/kKVxTqIkSZIkjSjJDPAm4OnAduCyJBdW1VUDh30YuLCqKsljgb8AHj2w//uq6ubWOn0AJomSOmsW5yJIkjStJhAHnApcW1XXASS5ADgD6CeJVXX7wPHraaZPrjgmiZI6qXBVM0mSptUyxgHHzhsKuq2qtvXubwauH9i3HXji/BdI8mzgfwHHAT80sKuADyYp4A8HXrd1JomSJEmStDg3V9XWA+xbKCu9X6Wwqt4LvDfJU4HXAKf1dj2lqnYmOQ74UJLPVtWlY+n1EpkkSuqouPS1JElTayJxwHbgpIHHJwI7D3RwVV2a5OFJjq2qm6tqZ2/7jUneSzN8dSJJoqubSpIkSdLoLgO2JDklyTrgTODCwQOSPCJpLsCZ5PHAOuCWJOuTbOhtXw/8APCZVns/wEqipM7yshWSJE2vtuOAqtqX5GXAxcAMcH5VXZnkpb395wLPAV6YZC9wF/DjvZVOH0IzBBWaHO3PquoD7b6De5kkSuosF66RJGl6TSIOqKqLgIvmbTt34P7rgNct8LzrgMctewcXyeGmkiRJkqQ+K4mSOqnKSqIkSdPKOGA0VhIlSZIkSX1WEiV1lpfAkCRpehkHDM9KoiRJkiSpz0qipM7yEhiSJE0v44DhmSRK6iwnrEuSNL2MA4bncFNJkiRJUp+VREmdVMQziJIkTSnjgNFYSZQkSZIk9VlJlNRZzleXJGl6GQcMzyRRUjeVE9YlSZpaxgEjcbipJEmSJKnPSqKk7nKciSRJ08s4YGhWEiVJkiRJfVYSJXWWcxEkSZpexgHDM0mU1FnlMBNJkqaWccDwHG4qSZIkSeprt5IYyGEzrTbJA45utz2gbt7Vepu3f+tDW2/zIR/7eqvt1T33tNoeQN12e+ttsn9/+20+6Jh221uz/MM/CoeZSCvN7Fq487h2z0/f9eD2z4fP3NX+QK0N29v/7ci+dttbd/tsuw0CTCCmY8MJrTe57sY7Wm9zuRkHjMZKoiRJkiSpzzmJkrqpAM8gSpI0nYwDRmKSKKmznLAuSdL0Mg4YnsNNJUmSJEl9VhIldZdnECVJml7GAUOzkihJkiRJ6rOSKKmj4tLXkiRNLeOAUZgkSuouh5lIkjS9jAOG5nBTSZIkSVKflURJ3VQ4zESSpGllHDCSkSqJSY5O8q4kn01ydZLvHFfHJEnSymcsIEndM2ol8Q3AB6rqR5OsA44aQ58kaTyciyC1wVhA0spkHDC0oZPEJBuBpwIvBqiqPcCe8XRLkiStdMYCktRNoww3/UbgJuCtST6Z5C1J1o+pX5I0BhnzTdI8xgKSVrBxxwHTEwuMkiQeBjwe+IOq+nbgDuCc+QclOTvJ5Uku3zN71wjNSdIS1ZhvkuY7ZCwwGAfsv/OOSfRR0rQadxwwRbHAKEnidmB7VX289/hdND8U91FV26pqa1VtXbfmyBGakyRJK8whY4HBOGDmKIuMkrQaDJ0kVtVXgOuTPKq36WnAVWPplSSNg2cPpWVlLCBpRbOSOLRRVzf9GeAdvdXMrgNeMnqXJEnSKmIsIEkdM1KSWFWfAraOpyuSNEYFeBFdadkZC0hakYwDRjJqJVGSVqyaomEhkiTpvowDhjfKwjWSJEmSpI6xkiipuzyDKEnS9DIOGJqVREmSJElSn5VESd3lhHVJkqaXccDQrCRK6qzUeG+LajM5Pcnnklyb5JyDHPeEJPuT/Oi43q8kSbrXuOOAxcYCXWCSKEljkmQGeBPwDOAxwHOTPOYAx70OuLjdHkqSJB2aSaKkbqpluB3aqcC1VXVdVe0BLgDOWOC4nwHeDdw41HuTJEkHtxxxgJVESdICjk1y+cDt7Hn7NwPXDzze3tvWl2Qz8Gzg3OXtqiRJ0nBaXbim1h7G/hMe1GaT3PDUB7baHsCJ79rfept3PWim9TbXf6zdIkitX99qewC1Z2/rbWb/bOttsuvr7ba3r43/R7IcE9ZvrqqtB2/0fuafd3w98Mqq2p84oV7TJQUze9ptc3Ztu+0B1DO+1nqbOz97TOttrtnTblnluCvuabU9AB5ybPttTuC3IXv3td7m8luWOGBquLqppO5qf1jIduCkgccnAjvnHbMVuKCXIB4LPDPJvqp6Xys9lCRpWkzR8NBxM0mUpPG5DNiS5BRgB3Am8LzBA6rqlLn7Sd4G/I0JoiRJWklMEiV1V8tnEKtqX5KX0axaOgOcX1VXJnlpb7/zECVJaouVxKGZJErSGFXVRcBF87YtmBxW1Yvb6JMkSdJSmCRK6i7PIEqSNL2MA4ZmkiipmwpXNZMkaVoZB4zE6yRKkiRJkvqsJErqrDjMRJKkqWUcMDwriZIkSZKkPiuJkrrLM4iSJE0v44ChWUmUJEmSJPWZJEqSJEmS+hxuKqmznLAuSdL0Mg4YnpVESZIkSVKflURJ3eVFdCVJml7GAUOzkihJkiRJY5Dk9CSfS3JtknMW2H9Gkk8n+VSSy5N812Kf2yYriZK6qXDpa0mSptUE4oAkM8CbgKcD24HLklxYVVcNHPZh4MKqqiSPBf4CePQin9saK4mSuqvGfJMkSavHuOOAQ8cCpwLXVtV1VbUHuAA44z5dqrq9quZeaf3Aqx7yuW0ySZQkSZKkxTm2N0x07nb2wL7NwPUDj7f3tt1Hkmcn+Szwt8BPLuW5bXG4qaTOculrSZKm1zLFATdX1dYDNbnAtvv1oqreC7w3yVOB1wCnLfa5bbGSKEmSJEmj2w6cNPD4RGDngQ6uqkuBhyc5dqnPXW4miZK6yzmJkiRNr/bnJF4GbElySpJ1wJnAhYMHJHlEkvTuPx5YB9yymOe2yeGmkrrLxE6SpOnVchxQVfuSvAy4GJgBzq+qK5O8tLf/XOA5wAuT7AXuAn68t5DNgs9t9x3cyyRRkiRJksagqi4CLpq37dyB+68DXrfY506KSaKkTkq5cI0kSdPKOGA0zkmUJEmSJPVZSZTUXbXQatKSJGkqGAcMrdUkMftmmdl1e5tNcvs3bGi1PYCv/sBJhz5ozGqm9SZh375Wm1uz4QGttgcwe1u7/14B2L+//TbXrW2/zTY4zERaUbIf1t7e7v+Yu7+x1eYAeOkjPtZ6my9/whdbb/OUi89qtb09x6xrtT0AZtpPMvavbX+g37rq6A9mR99WGxxuKkmSJEnqc7ippM5ywrokSdPLOGB4VhIlSZIkSX1WEiV1l2cQJUmaXsYBQzNJlNRNXh9JkqTpZRwwEoebSpIkSZL6rCRK6i7PIEqSNL2MA4ZmJVGSJEmS1GclUVJ3eQZRkqTpZRwwNCuJkiRJkqQ+K4mSOstVzSRJml7GAcMbqZKY5OeTXJnkM0nemeSIcXVMkiStfMYCktQ9QyeJSTYDPwtsrapvAWaAM8fVMUmStLIZC0hSN4063PQw4Mgke4GjgJ2jd0mSxsRhJlIbjAUkrUzGAUMbupJYVTuA3wW+DNwAfL2qPjj/uCRnJ7k8yeV7Zu8cvqeSJGlFWUwsMBgH7Lv7jkl0U5K0RKMMNz0GOAM4BTgBWJ/kJ+YfV1XbqmprVW1dt+ao4XsqSUtRzYT1cd4k3ddiYoHBOOCwI9ZPopuSptEyxAHTFAuMsnDNacAXquqmqtoLvAd48ni6JUljUGO+SZrPWEDSyjXuOGCKYoFRksQvA09KclSSAE8Drh5PtyRJ0ipgLCBJHTT0wjVV9fEk7wI+AewDPglsG1fHJGlkU3TGT5oEYwFJK5pxwNBGWt20qn4N+LUx9UWSJK0yxgKS1D2jXgJDklakMF0TzCVJ0r2MA0Zjkiipu/xxkCRpehkHDG2UhWskSZIkSR1jJVFSN03Z9YwkSdIA44CRWEmUJEmSJPVZSZTUXZ5BlCRpehkHDM0kUVJ3+eMgSdL0Mg4YmsNNJUmSJEl9rVYS67AZ9h+7sc0m+cZ33d1qewAf+ou3td7mEz7xY623mQ9uaLnBtNsesGbt2tbbZHa2+2229J/SCevSylKB2Za/Vh9wfbvtAfyfv/vB1tu8+omfbr3Nw766rtX29jyg/S/1zLY/6G7drXtbbzN797feZhuMA4ZnJVGSJEmS1OecREnd5RlESZKml3HA0EwSJXVT4Y+DJEnTyjhgJA43lSRJkiT1WUmU1FlOWJckaXoZBwzPSqIkSZIkqc9KoqTu8gyiJEnTyzhgaFYSJUmSJEl9VhIldZZzESRJml7GAcMzSZTUXf44SJI0vYwDhuZwU0mSJElSn5VESd3kRXQlSZpexgEjsZIoSZIkSeqzkiipk9K7SZKk6WMcMBqTREnd5TATSZKml3HA0BxuKkmSJEnqs5IoqbO8PpIkSdPLOGB4VhIlSZIkSX1WEiV1l2cQJUmaXsYBQzNJlNRd/jhIkjS9jAOG5nBTSZIkSVKflURJ3VROWJckaWoZB4zESqIkSZIkqc9KoqTu8gyiJEnTyzhgaCaJkjrLYSaSJE0v44DhOdxUkiRJktRnJVFSd3kGUZKk6WUcMDQriZIkSZKkvlYriZmdZc0d97TZJGvuaLU5AJ76385uvc2Nt+1vvc29JxzZantrv/L1VtublLqn3f9Hmjb3tNvg/tlWmpnEXIQkpwNvAGaAt1TVa+ftPwN4DTAL7ANeXlX/1HpHpQlIwUzLX3FH3rKv3QaBtXfMtN7mJz75ba23eXTL37H3HJ12GwQO3916k+xb3/5Av5mv3916m21wTuLwHG4qqZuK1oeZJJkB3gQ8HdgOXJbkwqq6auCwDwMXVlUleSzwF8Cj2+2pJEkdN4E4oEscbipJ43MqcG1VXVdVe4ALgDMGD6iq26tq7mdrPf6ESZKkFcYkUVJ31ZhvcGySywdu88eWbwauH3i8vbftPpI8O8lngb8FfnIcb1WSJM0z7jhgEad1k5ye5HNJrk1yzgL7n5/k073bvyR53MC+Lyb5tySfSnL58G98dA43laTFu7mqth5k/0ITZu73k1JV7wXem+SpNPMTTxtT/yRJ0oQsctrJF4DvqaqvJXkGsA144sD+76uqm1vr9AGYJErqpDCRCevbgZMGHp8I7DzQwVV1aZKHJzl2JfwgSJLUFROKA/rTTgCSzE076SeJVfUvA8d/jCZWWHEcbipJ43MZsCXJKUnWAWcCFw4ekOQRSdK7/3hgHXBL6z2VJEnDONjUk0VNOxlwFvD+gccFfDDJFQtMaWmVlURJ3dXyGcSq2pfkZcDFNJfAOL+qrkzy0t7+c4HnAC9Mshe4C/jxgYVsJEnSuCzPr+vBpp4satoJQJLvo0kSv2tg81OqameS44APJflsVV06WneHY5IoqbMygdyrqi4CLpq37dyB+68DXtd2vyRJmjYTiAMWNe2kdwmstwDPqKr+aKKq2tn7e2OS99IMX51IkuhwU0mSJEka3WKmnTwMeA/wgqr6/MD29Uk2zN0HfgD4TGs9n8dKoqRu8iK6kiRNrwnEAYucdvIq4EHAm3tLFOzrDV99CM3K59DkaH9WVR9o9x3cyyRRkiRJksZgEdNOfgr4qQWedx3wuPnbJ+WQw02TnJ/kxiSfGdi2KcmHklzT+3vM8nZTkpYuNd6bNK2MBSStRuOOA6YpFljMnMS3AafP23YO8OGq2gJ8uPdYklaWGvNNml5vw1hA0moz7jhgimKBQyaJvWVXd83bfAbw9t79twP/YbzdkiRJK4WxgCRNl2HnJD6kqm4AqKobetfyWFDvQpBnAxyxduOQzUnS0k3TsBBpAhYVCwzGAevWOyJVUnuMA4a37JfAqKptVbW1qraumzlquZuTJEkryGAccNgR6yfdHUnSIgybJH41yfEAvb83jq9LkjQmzkOQlpOxgKSVzTmJQxs2SbwQeFHv/ouAvxpPdyRpTFzRTFpuxgKSVq5liAOmKRZYzCUw3gl8FHhUku1JzgJeCzw9yTXA03uPJUlSBxkLSNJ0OeTCNVX13APsetqY+yJJ4zVFZ/yk5WQsIGlVMg4Y2rIvXCNJkiRJWj2GvQSGJK1oYbrmDkiSpHsZB4zGJFFSd5W/DpIkTS3jgKE53FSSJEmS1GclUVJnOcxEkqTpZRwwPCuJkiRJkqQ+K4mSuqlw6WtJkqaVccBITBIldVZmJ90DSZI0KcYBw2s3SayCvftabZLDZtptD9hwxc7W26wj1rXeZttqbfvnNDKBVbFy2ATO3bT9Ptek3fYkrQwF2d/9U/vrb9jTept3P2ht622u2dvuf8u9650ltVz2HLd+0l3QCmMlUVJ3dT8WlSRJB2IcMDRPyUiSJEmS+qwkSuosl76WJGl6GQcMz0qiJEmSJKnPSqKkbiraX5BHkiStDMYBIzFJlNRZDjORJGl6GQcMz+GmkiRJkqQ+K4mSussziJIkTS/jgKFZSZQkSZIk9VlJlNRJwbkIkiRNK+OA0ZgkSuqmKlc1kyRpWhkHjMThppIkSZKkPiuJkjrLYSaSJE0v44DhWUmUJEmSJPVZSZTUXZ5BlCRpehkHDM0kUVJnOcxEkqTpZRwwPIebSpIkSZL6rCRK6qYCZj2FKEnSVDIOGImVREmSJElSn5VESd3lCURJkqaXccDQTBIldZYT1iVJml7GAcNzuKkkSZIkqc9KoqTuKk8hSpI0tYwDhmYlUZIkSZLUZyVRUmc5F0GSpOllHDA8k0RJ3VS4qpkkSdPKOGAkDjeVJEmSJPVZSZTUSQHihHVJkqaSccBoWk8Ss3+21fZqTfvF0tkHPqD1NnP3Pa23ue8hD2y1vZmv391qewC1tv3zKGv27mu9zRxxeLsN7p5ptz1JK0fabe7wW9r/fdx/ZPu/HfdsaD/eWXtXuwH4/rUt/+MB9h7V/ud62N0TSGzWtd+kVjYriZK6q91zUpIkaSUxDhiacxIlSZIkSX1WEiV1lnMRJEmaXsYBwzNJlNRNLn0tSdL0Mg4YicNNJUmSJEl9VhIldVSBw0wkSZpSxgGjsJIoSZIkSeqzkiips+IJREmSppZxwPBMEiV1l8NMJEmaXsYBQ3O4qSRJkiSp75BJYpLzk9yY5DMD234nyWeTfDrJe5Mcvay9lKSlKsjseG/StDIWkLTqLEMcME2xwGIqiW8DTp+37UPAt1TVY4HPA7885n5JkqSV420YC0jS1DhkklhVlwK75m37YFXt6z38GHDiMvRNkkZTNd6bNKWMBSStSuOOA6YoFhjHwjU/Cfz5gXYmORs4G+CIwzaMoTlJWqTp+S6XJu2AscBgHLBu/TFt9knStDMOGNpIC9ck+RVgH/COAx1TVduqamtVbV03c9QozUmSpBXmULHAYBxw2OHr2+2cJGkoQ1cSk7wIeBbwtKopqr1KWjXiV5O0rIwFJK1kxgHDG6qSmOR04JXAj1TVnePtkiRJWumMBSTp/pKcnuRzSa5Ncs4C+5/fWxX600n+JcnjFvvcNi3mEhjvBD4KPCrJ9iRnAW8ENgAfSvKpJOcucz8laemcrC6NhbGApFWp5YVrkswAbwKeATwGeG6Sx8w77AvA9/RWhn4NsG0Jz23NIYebVtVzF9h83jL0RZLGp4Apup6RtJyMBSStOpOJA04Frq2q6wCSXACcAVzV71bVvwwcP7gy9CGf26aRFq6RJEmSpClybJLLB25nD+zbDFw/8Hh7b9uBnAW8f8jnLqtxXAJDklacUE5YlyRpSi1jHHBzVW09YLP3t2AnknwfTZL4XUt9bhtMEiVJkiRpdNuBkwYenwjsnH9QkscCbwGeUVW3LOW5bTFJlNRdVhIlSZpe7ccBlwFbkpwC7ADOBJ43eECShwHvAV5QVZ9fynPbZJIoqbtMEiVJml4txwFVtS/Jy4CLgRng/Kq6MslLe/vPBV4FPAh4cxKAfVW19UDPbfUNDDBJlCRJkqQxqKqLgIvmbTt34P5PAT+12OdOikmipG7yEhiSJE0v44CReAkMSZIkSVJfu5XENWuYfcARrTaZu/a02h4AMwutYLvcbc603uTaHbtabW//MRtabQ+Aw9o/j1J3r2u9zdyzt+UW25kj4CUwpJWlDoN7jm73e/XWR65vtT2Aw3fvb7/N27pfMpnE8LdM4GfksDva//dz50PXtt5mG4wDhmclUZIkSZLU55xESd3lGURJkqaXccDQTBIldVT54yBJ0tQyDhiFw00lSZIkSX0miZK6qWjOII7ztghJTk/yuSTXJjlngf3PT/Lp3u1fkjxu3G9dkqSptxxxwBRVJk0SJWlMkswAbwKeATwGeG6Sx8w77AvA91TVY4HXANva7aUkSdLBOSdRUne1vyL8qcC1VXUdQJILgDOAq+YOqKp/GTj+Y8CJrfZQkqRp0f0rwywbk0RJnbUM10c6NsnlA4+3VdVgJXAzcP3A4+3AEw/yemcB7x9j/yRJUo/XSRyeSaIkLd7NVbX1IPuzwLYFf6GSfB9Nkvhd4+iYJEnSuJgkSuqu9s8gbgdOGnh8IrBz/kFJHgu8BXhGVd3SUt8kSZouVhKH5sI1kjQ+lwFbkpySZB1wJnDh4AFJHga8B3hBVX1+An2UJEk6KCuJkrqpgNl2zyBW1b4kLwMuBmaA86vqyiQv7e0/F3gV8CDgzUkA9h1iCKskSVqqCcQBXWKSKKmjJnM9o6q6CLho3rZzB+7/FPBTbfdLkqTpMl3XNRw3h5tKkiRJkvqsJErqLs8gSpI0vYwDhmYlUZIkSZLUZyVRUnd5BlGSpOllHDA0k0RJ3eSqZpIkTS/jgJE43FSSJEmS1GclUVJHFdTspDshSZImwjhgFFYSJUmSJEl9VhIldZcT1iVJml7GAUMzSZTUTU5YlyRpehkHjMThppIkSZKkPiuJkrrLYSaSJE0v44ChWUmUJEmSJPVZSZTUXZ5BlCRpehkHDM1KoiRJkiSpr9VKYgVq7UybTZK702p7TZt7W2+zDm+/KJw77269zbbN3LCr9TZr/ZGtt7n/2KNaba9ubuN7oDyDKK0wtQb2bGy3zZl72m0PYN8R7Z+Dn7mn/e+72bXtxlgze9p/j2v2tt9mJrAi5xG37Gu9zeVnHDAKh5tK6qYCZmcn3QtJkjQJxgEjcbipJEmSJKnPSqKk7nKYiSRJ08s4YGhWEiVJkiRJfVYSJXWXZxAlSZpexgFDM0mU1FEFE1ghTpIkrQTGAaNwuKkkSZIkqc9KoqRuKqhy6WtJkqaSccBIrCRKkiRJkvqsJErqLuciSJI0vYwDhmaSKKm7XNVMkqTpZRwwtEMON01yfpIbk3xmgX2/mKSSHLs83ZMkSZNmLCBJ02UxcxLfBpw+f2OSk4CnA18ec58kaXRVMDs73ps0vd6GsYCk1WQ54oApigUOmSRW1aXArgV2/T7wS4B1XEmSOsxYQJKmy1BzEpP8CLCjqv41yaGOPRs4G+CIdQ8cpjlJGo5zEaRls9hYYDAOOGzjMS31TpIwDhjBkpPEJEcBvwL8wGKOr6ptwDaAjetP8L+UpNbUFA0Lkdq0lFhgMA448viTjAMktcY4YHjDXCfx4cApwL8m+SJwIvCJJA8dZ8ckSdKKZSwgSR225EpiVf0bcNzc496Pw9aqunmM/ZKkEZXDTKRlYiwgaeUzDhjFYi6B8U7go8CjkmxPctbyd0uSJK0UxgKSNF0OWUmsquceYv/JY+uNJI1LAbOeQZTGwVhA0qpjHDCSoVY3laRVoZywLknS1DIOGNowC9dIkiRJkjrKSqKkTiqgHGYiSdJUMg4YjZVESZIkSVKflURJ3VTlXARJkqaVccBIrCRKkiRJkvqsJErqLOciSJI0vYwDhmeSKKm7HGYiSdL0Mg4YWqray7CT3AR8aYinHgvcPOburES+z+6YhvcIw7/Pb6iqB4+7M4OSfICmf+N0c1WdPubXlKbGCHEATMf36jS8R/B9dsko73FZY4FligNgSmKBVpPEYSW5vKq2Trofy8332R3T8B5het6npMmbhu+baXiP4Pvskml4j9PKhWskSZIkSX0miZIkSZKkvtWSJG6bdAda4vvsjml4jzA971PS5E3D9800vEfwfXbJNLzHqbQq5iRKkiRJktqxWiqJkiRJkqQWmCRKkiRJkvpWfJKY5PQkn0tybZJzJt2f5ZDkpCR/n+TqJFcm+blJ92m5JJlJ8skkfzPpviyXJEcneVeSz/b+m37npPs0bkl+vvdv9TNJ3pnkiEn3SVI3GQd0i3FAdxgLdNuKThKTzABvAp4BPAZ4bpLHTLZXy2If8Iqq+ibgScBPd/R9AvwccPWkO7HM3gB8oKoeDTyOjr3fJJuBnwW2VtW3ADPAmZPtlaQuMg7oJOOADjAW6L4VnSQCpwLXVtV1VbUHuAA4Y8J9GruquqGqPtG7fxvNl8nmyfZq/JKcCPwQ8JZJ92W5JNkIPBU4D6Cq9lTVrRPt1PI4DDgyyWHAUcDOCfdHUjcZB3SIcUDnGAt02EpPEjcD1w883k4HvzQHJTkZ+Hbg4xPuynJ4PfBLwOyE+7GcvhG4CXhrbzjNW5Ksn3SnxqmqdgC/C3wZuAH4elV9cLK9ktRRxgHd8nqMAzrBWKD7VnqSmAW2dfaaHUkeALwbeHlV7Z50f8YpybOAG6vqikn3ZZkdBjwe+IOq+nbgDqBTc2iSHENzJv8U4ARgfZKfmGyvJHWUcUBHGAd0i7FA9630JHE7cNLA4xPpaCk7yVqaH4Z3VNV7Jt2fZfAU4EeSfJFmuND3J/nTyXZpWWwHtlfV3Bngd9H8WHTJacAXquqmqtoLvAd48oT7JKmbjAO6wzigW4wFOm6lJ4mXAVuSnJJkHc2E2Asn3KexSxKasetXV9XvTbo/y6GqfrmqTqyqk2n+O/5dVXXujFNVfQW4PsmjepueBlw1wS4thy8DT0pyVO/f7tPo4KR8SSuCcUBHGAd0jrFAxx026Q4cTFXtS/Iy4GKaVZPOr6orJ9yt5fAU4AXAvyX5VG/b/6iqiybXJY3gZ4B39AKa64CXTLg/Y1VVH0/yLuATNCvyfRLYNtleSeoi4wDjgFWq03EAGAtMg1R1dmi/JEmSJGmJVvpwU0mSJElSi0wSJUmSJEl9JomSJEmSpD6TREmSJElSn0miJEmSJKnPJFGSJEmS1GeSKEmSJEnqM0mUJEmSJPWZJEqSJEmS+kwSJUmSJEl9JomSJEmSpD6TREmSJElSn0miJEmSJKnPJFGSJEmS1GeSKEmSJEnqM0mUJEmSJPWZJEqSJEmS+kwSJUmSJEl9JomSJEmSpD6TREmSJElSn0miJEmSJKnPJFGSJEmS1GeSKEmSJEnqM0mUJEmSJPWZJEqSJEmS+kwSJUmSJEl9JomSJEmSpD6TREmSJElSn0miJEmSJKnPJFGSJEmS1GeSKEmSJEnqM0mUJEmSJPWZJEqSJEmS+kwSJUmSJEl9JomSJEmSpD6TREmSJElSn0miJEmSJKnPJFGSJEmS1GeSKEmSJEnqM0mUJEmSJPWZJEqSJEmS+kwSJUmSJEl9JomSJEmSpD6TREmSJElSn0miJEmSJKnPJFGSJEmS1GeSKEmSJEnqM0mUJEmSJPWZJEqSJEmS+kwSJUmSJEl9JomSJEmSpD6TREmSJElSn0miJEmSJKnPJFGSJEmS1GeSKEmSJEnqM0lcBkm+mOS0SfdjuSQ5OUklOWzSfRnF/PeR5P1JXjSw/zeT3JzkK73Hz05yfZLbk3z7pPo9iiRvS/Kbk+6HJK10Sb43yfYRnn9ukv85zj5JUlumKklcTcnboYL5JA/rJSuDt0ryijb7eYC+fTHJV5OsH9j2U0k+MvC4ktwxr/+/NLD/MUkuTPL1JLcl+fskTx7YP5fg/e28tv80yauH6XdVPaOq3t57nZOAVwCPqaqH9g75XeBlVfWAqvrkMG1IkronyYuT/NPgtqp6aVW9Zpna+/kkX+n9Rp6f5PCDHDv/9/YtA/vOnfc7fE+S2wb2fyTJ3QP7PzfvtY9K8ubeCdWvJ7l0YN/Lk1yXZHeSnUl+f/DkcpInJ/l/vd/4Tyf5roF9x/digJ29/p88r93De+97d+9z+IWBfd99gPjoOYv9/JKcmeTq3uf270m+u7f9+fNe987ea39Hb/+rk+ydd8w3DrzutyX5x16725O8al67z0vypV6770uyaYH/npuS3DT/35s0blOVJHZJVX25l6w8oKoeAHwrMAu8e8Jdm3MY8HOHOOZxg++hqn4bIMnDgX8G/g04BTgBeC/wwSTfOe81npTkKWPuO8A3ALdU1Y3ztl05zItllVddJWk1W+g7eLV+Lyf5QeAc4GnAycA3Ar9+iKcN/t7+1NzGXiI7GEu8E/jLec992cAxj5q3bxuwCfim3t+fH9j318Djq2oj8C3A44Cf7b2HTcCFwO8ARwO/Dfx1kmN6z50FPgA8h4W9GthC87v8fcAvJTm9957+cd57ehZwe+/1Dvn5JXk68DrgJcAG4KnAdb3Xfse81/5vvX2fGOjbn8+Lba4b2PdnwKW9z+p7gP+a5Ed67X4z8IfAC4CHAHcCb17gvb8OuPoAn4s0NiaJQJJjkvxN78zM13r3TxzY/5Ekr0nyz70zXh9McuzA/hf0zvzckuRX5r32qUku753t+mqS3xvY95cDZ7Iu7X1BkORs4Pk0X3q3J/nrRbyNFwKXVtUXD/AeT03y0SS3JrkhyRuTrBvYX0lemuSa3mfwpiTp7ZtJ8rtpzhReB/zQIvrzO8AvJjl6EcfO92rgo1X1K1W1q6puq6r/A/wJzZfjoN8GFjV88lDvo/ff+afSVJs/BJzQ+/zfmeR2YAb41yT/3jv+hCTv7v27+UKSnx14rVcneVeayuZu4MVJHpjkvN7nvyPNcNaZ3vEvTvJPvf59rfd6zxh4vU1J3prmrOrXkrxvYN+zknyq99/2X5I8dmDftyf5RO/f7Z8DRyzms5KklSLJSUne0/uuvSXJG3vb1yT51d7v741J/jjJA3v75kabnJXky8Df9b5n/zlNRWsX8Oo0FanfTfLl3m/0uUmOPEA/zklTVbotyVVJnt3b/k3AucB39n4zbu1tv8+IoCT/Ocm1SXalqZKdMLDvgL/BC3gRcF5VXVlVXwNeA7x4tE8Z0oz+eQ7w9kUe/yjgR4Czq+qmqtpfVVfM7a+qf6+qW+cOp0n8HtF7/GTgq1X1l73n/SlwE/Afe8/9alW9GbjsAM2/EHhNVX2tqq4G/ogDfwYvAt5VVXcMPD7Y5/frwG9U1ceqaraqdlTVjoO89h9XVR1g/3wnA+/oved/B/4J+ObevucDf11Vl1bV7cD/BP5jkg1zT05zovxbgLcusj1paCaJjTU0/8N9A/Aw4C7gjfOOeR7NWaXjgHXAL0IzLBL4A5ozPycADwJOHHjeG4A39M6kPRz4i4F976c5E3YczVmodwBU1bbe/d/unYX64UW8hxdy8C/2/TRn+I4FvpPmDNp/m3fMs4An0Jzt+zHgB3vb/3Nv37cDW4EfXUR/Lgc+Qu9zWqKnc/8zmdB8dk9JctTAtjcBj8zihhEv6n1U1SXAM4Cdvc//ub0zhtCcjX14kjU0Z0n/FdhM83m+PM0ZyjlnAO+iOUv6Dpr/PvtofiS/HfgB4KcGjn8i8Dma/0a/DZw3ECT8CXAUzY/JccDvAyR5PHA+8F9o/u39IXBhL/BZB7yv99xNNJ/pgc7KStKK0zuR9jfAl2gC7M3ABb3dL+7dvo+mGvQA7v/b/T00Va657+Yn0lR+jgN+i+bE4yOBb6P5bt4MvIqF/Tvw3cADaRKJP01yfC9JeSnNyc0HVNXRC7yP7wf+F81v6/G993PBvMMO9Bs83zfT/PbM+VfgIUkedIDjAS5Nc1L6PZk3dHPAc2gStUvnbf9fvZOr/5zkewe2P7H3Pn69t//fMjCkE/rDJ3cDN/fe1x/O7erd7nM4TQJ0UGmqjSdw/8/gmxc49iia3/rB+OiAn1/v39tW4MG9hH57mpPq9ztxkOQbaKqMfzxv1w/3TgRcmeS/ztv3euCFSdb2kuzvBC5ZqF+9JHIPzb/Puf8X3gS8DFhsUioNzSQRqKpbqurdVXVnVd1G88PxPfMOe2tVfb6q7qJJVr6tt/1Hgb/pnfm5h+bMz+zA8/YCj0hybFXdXlUfG2j3/F6V7B6a6tnj5s6CLkWasfIPoUlIDvQer+idFdvXqzb+4QLv8bVVdWtVfRn4+4H3+GPA66vq+qraRfNDtxivAn4myYMPsP8TverX3G3uB/FY4IYFjr+B5t/sMQPb7qb577WYauKw72MhTwAeXFW/UVV7esNJ/gg4c+CYj1bV+6pqFthIk3i+vKru6A1j/f15x3+pqv6oqvbT/KAdT/PDdXzvuS/tnTXdW1X/0HvOfwb+sKo+3jsz+XbgHuBJvdva3nveW1Xv4sBnZSVpJTqVJiH4773vzruram4u1vOB36uq63qVl18Gzsx9h5G+uve8u3qPd1bV/62qfTS/H/8Z+Pm5USvA/8d9v5f7elWvnb3q0p8D1/T6txjPB86vqk/0fvN/mabyePLAMQf6DZ7vAcDXBx7P3d+wwLHQ/NafDDwa2An8TRYeartQVeyVNAn4ZpqhpX+dZkoINCfEv6XX/gk0ycvbe5VVAKrqz3onyR9JU239am/Xv9CM1nluL2F6Ec2J9MGTwAcyd9J2/mew0Pt/Dk2C+g8D2w72+T2E5nfzR2lOCHwbzUndX13gtV8I/GNVfWFg21/QnJR4MM2/rVclee7A/r/pvfZdwGdpKppzv8vz+zX/ff0s8PHBaq20nEwS6U+8/sPekJXdNGfRju6dtZnzlYH7d3Lvl9QJwPVzO3rDGW4ZOPYsmi/Hzya5LMmzem3OJHltb+jKbuCLveOPZeleBLy79yN5oPf4yDTDaL/Sa+//W6CtRb1HmjOHh1RVn6H5QjznAIc8vqqOHrhd3Nt+M02CNN/xNAn41+Zt/yOaZOpQFdeh3scBfAPND1w/yQX+B80PzJzr5x2/Frhh4Pg/pDmbPaf/+VfVnb27DwBOAnb1hsUs1I9XzOvHSTTv9QRgx7wf/FHesyS17SSaE2j7Fth3Avf9TvsSzXz4A30Pz3/8YJqk5IqB788P9LbfT5IX5t6h/bfSJEiL/c2+T197v9e30CRfcw70Gzzf7TQnHufM3b9tgWPpncTe0xv6+XM0c/2/afCYNIu1fQ/zqmK9E5C3VdU9vZOQ/ww8s7f7LpoT4b/Ze/1/oEluf2CBPlxDM6f/zb3Ht9CMtvkFmsTxdJqK2mJWk52LdeZ/Bgu9/4US34N9fnMnE/5vVd1QVTcDv8e973nQ/UZwVdVVvRMJ+6vqX2hGk/0o9OdhfgD4DZqpHycBP5hkblTX/H7131dvaPLPAr+C1BKTxMYrgEcBT+yd8Xpqb/uB5gMMuoHmf/TmCc3Qhv6Qj6q6pqqeS5MMvA54V2/c//NoviBPoxm6cvK8Nhc1lKA3BOI/ceg5BH9Ac9ZqS+89/g8W9/5g3nukGZK7WL9GczZt86EOHHAJzXua78doqnN3Dm6sqr00Q39ew8Hf0yjvY77rgS/MS3I3VNXgD0nNO/4e4NiB4zdW1f2GxxygrU1ZeH7n9cBvzevHUVX1Tpr3u3nevJZR3rMkte164GEHqHztpDlRNudhNEP6vzqwbf5v6eDjm2mSgm8e+P58YN07vaCvN7Twj2iqZQ/qDSn9DIv/zb5PX3txwIOAA811O5graYZuznkczfy+Ww5w/HzF/X8rXwj8S913kZVDPffTi2xvzmE01cLmhar+oaqeUFWbaKbsPAr4f4d6kd4J0xu4/2dwn4Xleonv93L/4aAH/Px6r72dQ/z3TLNg3gkcZATXXHe59/P6RmB/Vf1xb1TXdpohx3Nxw336lWZV1MOBz9NUrI8HrkpzWa43AKf2TvwPFjSksZnGJHFtkiMGbofRlPLvAm7tnen5tSW83ruAZyX5rt4csN9g4HNN8hNJHtwbcnhrb/P+Xpv30JxJPIqmsjfoqzRfKIfy7N7r/v0hjtsA7AZuT/JoYP44+YP5C+Bnk5zYmwtwoMrg/VTVtcCf01vRbJF+HXhykt9Ks2DLhiQ/Q/Mj9soDPOdPaL5MTz/I6w79Phbw/4DdSV6Z5MheZfhbkjxhoYOr6gbgg8D/TrIxzYILD08yf8jvgZ77fuDNaRZZWptk7kTGHwEvTfLENNYn+aE0E90/ShMw/WySw5L8RxY/NEqSVoL/R5MQvLb3/XZE7l3R+p3Azyc5JckDaH5H//wAVcf76f0u/xHw+0mOA0iyOfedWz5nPU3Af1PvuJdw3/lzXwVOzMCCcPP8GfCSNJdAOLzX14/XARabO4Q/Bs5Kc6moY2iGQr5toQOTfHOvzZneZ/S/aRLT+atjvnD+ayQ5OskPzsVKSZ5PcxJ9btTPpcCXgV/u7X8KTVJ2ce/5PzXwuT6GZojthwde/9t7v2cbaS4xtX1gRBFJjqD5XQc4vPd48DP41d5v4qNpTkbP/wxeQJP4/vsSP7+30kyVOa63/+U0o6IGzY3guk/1MskZvT4lyak0sc9f9XZ/vjkkz+vFAA8Ffpx75yG+g2Y+43f3TiL8BvCeXhvvpykmfFvv9irgk8C39aaoSGM3jUniRTQJ4dzt1TQTiY+kOav4MXrLJC9GVV0J/DTND8ANNEMhB4dLnA5cmWZ1zDcAZ1bV3TRfUl+i+bK+qtfuoPOAx/SGtbzvIF1Y7Mpav0hTvbyN5kfxzw/97vr+iOZL/19pFth5zxKeC80X3foFtv9r7nstoddDf1jKd9GcUfsizef6HOAHq+qfF2qg9yX5azQLtCzX+5jf3g/TfFl/gebfzltoqsIH8kKaRY+uovl38i4WHla7kBfQDOv5LHAjzY8WVXU5zY/jG3uveS29Vdqqag/NSnEv7u37cUZ4z5LUtoHv2kfQJCTbab7LoFm0609okpUv0Mwx/JklNvFKmu/Nj6WZinEJTUVrfj+uokmwPkqTEH4rzdDLOX9HUwn6SpKbF3j+h2nWLHg3zW/awznA3MdDqaoP0Cxu9vc0ccSXGDi5neT9Sf5H7+FDaH7vd9Ms2HMy8KzeCJy547+TZn7h/AXj1tLM97+J5jfuZ4D/UFWf6/VjL82IqGfSzJ37I+CFVfXZ3vOfAvxbkjtoYq+LaEYxzfml3uteT/Nb+Ox57d/FvUNLP8u9Q0Hpvd9/7733fwB+p/e5DFpwQb9DfX40o5Iuo0nqrqZJxn5rbmcvWf2xhV6b5r/ptTSx1h8Dr+sN06WqdtP8Jv88zW/yp2iq0b/V238lzQJI76D5nd9Ab4HB3nDfr8zdaD7vvb370rLIoXMLSZIkSdK0mMZKoiRJkiTpAEwSJUmSJEl9JomSJEmSpD6TREmSJElS30LXHVo2Rx1zeD3whKPabJLb9h5+6IPG7NEbT2y9TWk1ueKKK26uqgUvWD0uP/h96+uWXeNdGfyKT99zcVUd7DIrmufYY4+tk08+edLdkCRJCzhQTNZqkvjAE47iJe/8vjab5CNf2dJqewD/8gOva71NaTVJ8qXlbuOWXfv5fxc/bKyvOXP8NceO9QWnwMknn8zll18+6W5IkqQFHCgmazVJlKS2FDDL7KS7IUmStOo4J1GSJEmS1GclUVJHFfvLSqIkSdJSmSRK6qRmuGlNuhuSJEmrjsNNJUmSJEl9VhIldZYL10iSJC2dlURJkiRJUp+VREmdVBT7yzmJkiRJS2WSKKmzXLhGkiRp6UYabprk9CSfS3JtknPG1SlJkiRJ0mQMXUlMMgO8CXg6sB24LMmFVXXVuDonScMqYL+VREmSpCUbpZJ4KnBtVV1XVXuAC4AzxtMtSZIkSdIkjDIncTNw/cDj7cAT5x+U5GzgbICNxx85QnOStDTOSZQkSVq6UZLELLDtfhFZVW0DtgEc/83HGLFJakWBq5tKkiQNYZQkcTtw0sDjE4Gdo3VHkiRJq8o118All8COHbB5M5x2GmzZMuleSRrBKHMSLwO2JDklyTrgTODC8XRLkkY3O+abJGmea66B886D226DE09s/p53XrNd0qo1dJJYVfuAlwEXA1cDf1FVV46rY5IkSVrhLrkENm2Co4+GNWuav5s2NdslrVqjDDelqi4CLhpTXyRpbIryEhiStNx27GgqiIM2bmy2S1q1RhluKkmSpGm2eTPs3n3fbbt3wwknTKY/ksbCJFFSNxXsH/NNkjTPaafBrl1w660wO9v83bWr2S5p1TJJlNRJhQvXSNKy27IFzjoLNmxohphu2NA8dnVTaVUbaU6iJEmSptyWLSaFUseYJErqqLCfTLoTkiRJq47DTSVJkiRJfVYSJXVSAbMuNiNJkrRkJomSOsvhppIkSUvncFNJkiRJUl/rlcTZavfM/pFr97baHsDPf/LHW29zb8203ua+ltu8+taHtNoewLo1+1tv80Pf9/utt9lFhZVESZKkYVhJlCRJkiT1OSdRUme1PXJBkiSpC0wSJXWSw00lSZKG43BTSZIkSVKfSaKkTirCftaM9dZlSU5P8rkk1yY55wDHfG+STyW5Msk/tN1HSZLUDoebStKUSzIDvAl4OrAduCzJhVV11cAxRwNvBk6vqi8nOW4inZUkScvOJFFSZ7lwzaKdClxbVdcBJLkAOAO4auCY5wHvqaovA1TVja33UpIktaLb46ckTa25hWvGeeuwzcD1A4+397YNeiRwTJKPJLkiyQsP9GJJzk5yeZLLb7rppmXoriRJWk4miZKkhTLgmvf4MOA7gB8CfhD4n0keudCLVdW2qtpaVVsf/OAHj7enkiRp2TncVFJHhf3lebBF2g6cNPD4RGDnAsfcXFV3AHckuRR4HPD5drooSZLaYgQlSboM2JLklCTrgDOBC+cd81fAdyc5LMlRwBOBq1vupyRJaoGVREmdVMCs58EWpar2JXkZcDEwA5xfVVcmeWlv/7lVdXWSDwCfBmaBt1TVZybXa0mStFxMEiV1VscXmxmrqroIuGjetnPnPf4d4Hfa7JckSWqfp9klSZIkSX1WEiV1UpUL10iSJA3DCEqSJEmS1GclUVJnzTonUZIkacmsJEqSJEmS+qwkSuqkAvZ7HkySJGnJTBIldZQL10iSJA3DCEqSJEmS1GclUVInFTDreTBJkqQlM4KSJEmSJPWZJErqrP2Vsd4WI8npST6X5Nok5yyw/9FJPprkniS/OPY3LUmSNCKHm0rqpCKtr26aZAZ4E/B0YDtwWZILq+qqgcN2AT8L/IdWOydJkrRIVhIlaXxOBa6tquuqag9wAXDG4AFVdWNVXQbsnUQHJUmSDsVKoqTOmh3/JTCOTXL5wONtVbVt4PFm4PqBx9uBJ467E5IkScvJJFGSFu/mqtp6kP0LTVys5eqMJEnScmg1Sbxr/1qu2n18m03ysPVfa7U9gI/fdHLrba6d2d96m0897tpW27trw9pW2wO44c6Nrbd51mUvbr3N2/Yd3mp7xzz62O9Y7jYKWp+TSFM5PGng8YnAzrY7IUmSNAoriZI6qVj8iqRjdBmwJckpwA7gTOB5bXdCkiRpFCaJkjQmVbUvycuAi4EZ4PyqujLJS3v7z03yUOByYCMwm+TlwGOqavek+i1JkjTIJFFSZ81OYAHnqroIuGjetnMH7n+FZhiqJEnSiuQlMCRJkiRJfVYSJXVSFewf/yUwJEmSOs8kUVJHhdkFr0ghSZKkg/E0uyRJkiSpz0qipE4qHG4qSZI0DCMoSZIkSVKflURJnbXf82CSJElLNnSSmOQk4I+BhwKzwLaqesO4OiZJoyjCbLlwjSRJ0lKNUkncB7yiqj6RZANwRZIPVdVVY+qbJEmSJKllQyeJVXUDcEPv/m1JrgY2AyaJklYEh5tKkiQt3VgiqCQnA98OfHyBfWcnuTzJ5XtuvWsczUmSJEmSlsnIC9ckeQDwbuDlVbV7/v6q2gZsAzj60cfVqO1J0mIUMOslMCRJkpZspAgqyVqaBPEdVfWe8XRJkiRJkjQpo6xuGuA84Oqq+r3xdUmSxiHsx9VNJUmSlmqU4aZPAV4A/FuST/W2/Y+qumjkXknSiBxuKkmSNJxRVjf9J/A0vSRJkiR1ycgL10jSSuVwU0mSpKVzLJYkSZIkqc9KoqROqopzEiVJkoZgkiips/abJEqSJC2ZEZQkSZIkqc9KoqROKmDWhWskSZKWzEqiJEmSJKnPSqKkjopzEiVJkobQapJYFfbMzrTZJLftO7zV9gDWpFpvc/fd7b/PT956UqvtfcfRX261PYBPfXVz622etP7W1tu8fW+7/37aSN4KmC2Hm0qSJC2Vp9klSZIkSX0ON5XUWfs9DyZJkrRkRlCSJEmSpD4riZI6qYhzEiVJkoZgkiips2YdLCFJkrRkRlCSJEmSpD4riZI6qQr2O9xUkiRpyawkSpIkSZL6rCRK6iwXrpEkSVo6k0RJndSsbupgCUmSpKUygpIkSZIk9VlJlNRZ+3G4qSRJ0lJZSZQkSZIk9VlJlNRJhQvXSJIkDcNKoiRJkiSpz0qipI5ydVNJkqRhmCRK6qxZF66RJElaMk+zS5IkSZL6rCRK6qQq2O/CNZIkSUtmJVGSJEmS1GclUVJnuXCNJEnS0pkkSuqkIl4nUZIkaQieZpckSZIk9VlJlNRZXgJDkiRp6awkSpIkSZL6rCRK6qQC5yRKkiQNwSRRUme5uqkkSdLSGUFJkiRJkvparSSuXbOf44/c3WaTHD6zr9X2JuWBR9/depv/dsvxrbZ3xKa9rbYHcPja9v/97JtA9etrdx/Zanv7Z1sYBlpeAkOSJGkYVhIlSSQ5Pcnnklyb5JwF9n9vkq8n+VTv9qpJ9FOSJC0/5yRK6qTCS2AsVpIZ4E3A04HtwGVJLqyqq+Yd+o9V9azWOyhJklplkiipsxxuuminAtdW1XUASS4AzgDmJ4mSJGkKONxUkrQZuH7g8fbetvm+M8m/Jnl/km8+0IslOTvJ5Ukuv+mmm8bdV0mStMysJErqJK+TuCQLfVA17/EngG+oqtuTPBN4H7BloRerqm3ANoCtW7fOfx1JkrTCWUmUJG0HThp4fCKwc/CAqtpdVbf37l8ErE1ybHtdlCRJbbGSKKmzrCQu2mXAliSnADuAM4HnDR6Q5KHAV6uqkpxKc5LxltZ7KkmSlp1JoqROKrxO4mJV1b4kLwMuBmaA86vqyiQv7e0/F/hR4L8m2QfcBZxZVQ4llSSpg0wSJUlzQ0gvmrft3IH7bwTe2Ha/JElS+0wSJXWW10mUJElaupEXrkkyk+STSf5mHB2SJEmSJE3OOCqJPwdcDWwcw2tJ0niUC9dIkiQNY6RKYpITgR8C3jKe7kiSJEmSJmnUSuLrgV8CNhzogCRnA2cDrH/o+hGbk6TFKawkSpIkDWPoSmKSZwE3VtUVBzuuqrZV1daq2nrE0UcM25wkLdlsZaw3SZKkaTDKcNOnAD+S5IvABcD3J/nTsfRKkiRJkjQRQyeJVfXLVXViVZ0MnAn8XVX9xNh6JkkjKMZbRbSSKEmSpsXIl8CQJEmSJHXHOC6BQVV9BPjIOF5LksalrP5JkiQt2ViSRElaiWYxSZQkSVoqh5tKkiRJkvqsJErqpCqvkyhJkjQMK4mSJEmSpD4riZI6y4VrJEmSls4kUVJHeW1DSZKkYTjcVJIkSZLUZyVRUmc53FSSJGnprCRKkiRJkvparSSuW7OPhx25q80m+dq+o1ptD+CYdXe23ubnv35c621+9StHt9resafc1mp7AEeu3dt6m1/Y/aDW23zg4Xe32t5MatnbKCZzCYwkpwNvAGaAt1TVa+ftT2//M4E7gRdX1Sda76gkSdIBONxUUjdVc63ENiWZAd4EPB3YDlyW5MKqumrgsGcAW3q3JwJ/0PsrSZK0IjjcVJLG51Tg2qq6rqr2ABcAZ8w75gzgj6vxMeDoJMe33VFJkqQDsZIoqbNmGftw02OTXD7weFtVbRt4vBm4fuDxdu5fJVzomM3ADePsqCRJ0rBMEiVp8W6uqq0H2b9QVjp/0OtijpEkSZoYk0RJnVRM5BIY24GTBh6fCOwc4hhJkqSJcU6ipI4KszXe2yJcBmxJckqSdcCZwIXzjrkQeGEaTwK+XlUONZUkSSuGlURJGpOq2pfkZcDFNJfAOL+qrkzy0t7+c4GLaC5/cS3NJTBeMqn+SpKm2DXXwCWXwI4dsHkznHYabNky6V5phTBJlNRZbV8Co2mzLqJJBAe3nTtwv4CfbrtfkiT1XXMNnHcebNoEJ54Iu3c3j886y0RRgMNNJUmSpOlyySVNgnj00bBmTfN306Zmu4SVREkdNoGFayRJWvl27GgqiIM2bmy2S1hJlCRJkqbL5s3NENNBu3fDCSdMpj9acUwSJXVSVVNJHOdNkqROOO002LULbr0VZmebv7t2NdslTBIlddgELoEhSdLKt2VLs0jNhg3NENMNG1y0RvfhnERJ6pAkvw38JnAX8AHgccDLq+pPJ9oxSdLKsmWLSaEOyEqipM5qhpyO77ZK/EBV7QaeBWwHHgn898l2SZIkrSYmiZLULWt7f58JvLOqdk2yM5IkafVxuKmkzprSxWb+OslnaYab/rckDwbunnCfJEnSKmKSKKmTiulckbSqzknyOmB3Ve1PcidwxqT7JUmSVg+Hm0pShyQ5Cvhp4A96m04Atk6uR5IkabUxSZTUWTXm2yrxVmAP8OTe4+00q51KkiQtikmiJHXLw6vqt4G9AFV1FzB9424lSdLQnJMoqZtqaheu2ZPkSHrFzyQPB+6ZbJckSdJqYpIoqbtW0RjRMfo14APASUneATwFePFEeyRJklYVk0RJ6pCq+lCSTwBPohlm+nNVdfOEuyVJklYRk0RJnTWNw02TPLV397be38ckoaounVSfJEnS6mKSKEnd8t8H7h8BnApcAXz/ZLojSZJWG5NESZ1VUzgnsap+ePBxkpOA355QdyRJ0ipkkiipk4rpHG66gO3At0y6E5IkafVoNUlcm/0cv+7WNpvkiDV7W20P4Pi1X2u9zUs+/+jW2zztm69utb29NdNqezCZJOPow+9qvc0v3XpMq+3tnW3/v+W0SPJ/uXdd1zXAtwH/OrEOSZKkVcdKoqRuKmA6K4mXD9zfB7yzqv55Up2RJEmrj0miJHVIVb190n2QJEmrm0mipM6apoVrkvwb9w4zvc8uoKrqsS13SZIkrVImiZK6a4qSROBZk+6AJEnqBpNESeqAqvrSpPsgSZK6Yc2kOyBJyyNUjfe2GiR5UpLLktyeZE+S/Ul2T7pfkiRp9TBJlKRueSPwXOAa4Ejgp4D/O9EeSZKkVcXhppK6a7rmJPZV1bVJZqpqP/DWJP8y6T5JkqTVwyRRkrrlziTrgE8l+W3gBmD9hPskSZJWEYebSuqmYirnJAIvoPlufxlwB3AS8JyJ9kiSJK0qI1USkxwNvAX4FpqBXT9ZVR8dQ78kaXTTOdz08cBFVbUb+PVJd0aSJK0+o1YS3wB8oKoeDTwOuHr0LkmSRvAjwOeT/EmSH0ritAJJkrQkQyeJSTYCTwXOA6iqPVV165j6JUljkDHfVr6qegnwCOAvgecB/57kLZPtlSRJWk1GqSR+I3ATzcp5n0zyliT3WxwhydlJLk9y+e1f2ztCc5KkxaiqvcD7gQuAK4AzJtsjSZK0moySJB5GM/flD6rq22kWSDhn/kFVta2qtlbV1gccs3aE5iRpiWrMt1UgyelJ3gZcC/wozbzx4yfaKUmStKqMMldlO7C9qj7ee/wuFkgSJWliVkliN2Yvpqkg/pequmfCfZEkSavQ0EliVX0lyfVJHlVVnwOeBlw1vq5Jkpaqqs6cdB8kSdLqNuqqdz8DvKN34ebrgJeM3iVJGoMCVs+1DSVJklaMkZLEqvoUsHU8XZEkSZIkTZrXz5LUWTWdcxIlSZJGYpIoqbumKElM8m8c5B1X1WNb7I4kSVrFTBIlqRue1fv7072/f9L7+3zgzva7I0mSViuTREndNUUL11TVlwCSPKWqnjKw65wk/wz8xmR6JkmSVps1k+6AJGms1if5rrkHSZ4MrJ9gfyRJ0ipjkiips1Ljva0SZwFvSvLFJF8A3gz85KGelOT0JJ9Lcm2Scw5y3BOS7E/yo2PssyRJWkEcbiqpm4qpWrhmTlVdATwuyUYgVfX1Qz0nyQzwJuDpwHbgsiQXVtVVCxz3OuDi8fdckiStFFYSJalDkjwkyXnAn1fV15M8JslZh3jaqcC1VXVdVe0BLgDOWOC4nwHeDdw43l5LkqSVxCRRUkelWbhmnLfV4W00lb4Teo8/D7z8EM/ZDFw/8Hh7b1tfks3As4Fzx9FJSZK0crU63PSO/Yfz0a8/vM0m+cinvqnV9gC+8CPbWm/zDx60u/U2X/Dgf261vT+56SmHPmjMHrq+/c9132z75242rW/3Cgkza2ZbbW/KHFtVf5HklwGqal+S/Yd4zkIZ8PzBuq8HXllV+5ODJ8xJzgbOBnjYwx62qE5LkqSVwzmJkrprCuckAnckeRC9d5/kScCh5iVuB04aeHwisHPeMVuBC3oJ4rHAM5Psq6r3zX+xqtoGbAPYunXrdP5XkCRpFTNJlNRd05me/AJwIfDw3vURHwwcaiXSy4AtSU4BdgBnAs8bPKCqTpm7n+RtwN8slCBKkqTVzyRRkjqkqj6R5HuAR9EMI/1cVe09xHP2JXkZzVzGGeD8qroyyUt7+52HKEnSFDFJlNRdU1RJTPIfD7DrkUmoqvcc7PlVdRFw0bxtCyaHVfXioTopSZJWBZNESeqGHz7IvgIOmiRKkiTNMUmU1E3Farpsxciq6iWT7oMkSeoGr5MoSR2S5EFJ/k+STyS5IskbequdSpIkLYqVREmdlSmakzjgAuBS4Dm9x88H/hw4bWI9krT8rrkGLrkEduyAzZvhtNNgy5ZJ90rSKmUlUVJ31Zhvq8OmqnpNVX2hd/tN4OhJd0rSMrrmGjjvPLjtNjjxxObveec12yVpCCaJktQtf5/kzCRrercfA/520p2StIwuuQQ2bYKjj4Y1a5q/mzY12yVpCCaJktQt/wX4M2BP73YB8AtJbkuye6I9k7Q8duyAjRvvu23jRti5czL9kbTqOSdRkjqkqjZMug+SWrZ5M+ze3VQQ5+zeDSecMLEuSVrdTBIlddaULlxDkscCJzPwHV9VXidR6qrTTmvmIEJTQdy9G3btgmc/e7L9krRqmSRK6q4puk7inCTnA48FrgRme5sLMEmUumrLFjjrrHtXNz3hhCZBdHVTSUMySZSkbnlSVT1m0p2Q1LItW0wKJY2NC9dI6qZxX/5i9Qxd/WgSk0RJkjQ0K4mS1C1vp0kUvwLcAwSoqnrsZLslSZJWC5NESd21eqp/43Q+8ALg37h3TqIkSdKimSRK6qwpXd30y1V14aQ7IUmSVi+TREnqls8m+TPgr2mGmwJeAkOSJC2eSaKk7prOSuKRNMnhDwxs8xIYkiRp0UwSJalDquolk+6DJEla3UwSJXXXFFYSkxwBnAV8M3DE3Paq+smJdUqSJK0qXidRUielxn9bJf4EeCjwg8A/ACcCt020R5IkaVUxSZSkbnlEVf1P4I6qejvwQ8C3TrhPkiRpFXG4qaTuqky6B5Owt/f31iTfAnwFOHly3ZEkSauNSaIkdcu2JMcAvwpcCDwAeNVkuyRJklaTVpPENSk2HHZ3m02y7qaZVtsDeN8dD2i9zQ9865+23uYRafccwzsy22p7AJvW3dl6m2smsNrK3fvXttremrYm+K2eeYRjU1Vv6d29FPjGSfZFkiStTs5JlNRZ07hwTZKfS7Ixjbck+USSHzj0MyVJkhomiZLULT9ZVbuBHwCOA14CvHayXZIkSauJcxIlddcqqf6N2dxqPc8E3lpV/5pkKlfwkSRJw7GSKEndckWSD9IkiRcn2QC0P6FXkiStWiaJkrppzPMRR52TmGRTkg8luab395gDHHd+khuTfGbIps4CzgGeUFV3AutohpxKkiQtikmiJLXjHODDVbUF+HDv8ULeBpw+QjsFPAb42d7j9cARI7yeJEmaMiaJkrqrxnwbzRnA23v33w78hwW7XHUpsGuEdt4MfCfw3N7j24A3jfB6kiRpyrhwjaTuGv/CNccmuXzg8baq2rbI5z6kqm4AqKobkhw39t41nlhVj0/yyV5bX0uybpnakiRJHWSSKEmLd3NVbT3QziSXAA9dYNevLF+X7mdvkhl6KXKSB+PCNZIkaQlMEiV11qiLzSxVVZ12oH1Jvprk+F4V8XjgxmXqxv8B3gscl+S3gB8FfnWZ2pIkSR000pzEJD+f5Mokn0nyziQujiBJC7sQeFHv/ouAvxp3A0nWAF8Afgn4X8ANwH+oqr8cd1uSJKm7hk4Sk2ymWT1va1V9CzADnDmujklSx7wWeHqSa4Cn9x6T5IQkF80dlOSdwEeBRyXZnuSsxTZQVbPA/66qz1bVm6rqjVV19XjfhiRJ6rpRh5seBhyZZC9wFLBz9C5J0pi0PNz0YKrqFuBpC2zfSXPh+7nHz51/zBJ9MMlzgPdU1Qr6BCRJ0moxdJJYVTuS/C7wZeAu4INV9cGx9UySNIxfoLk24r4kdwMBqqo2TrZbkiRptRhluOkxNNf9OgU4AVif5CcWOO7sJJcnufyur909fE8laSmqWbhmnLfVoKo2VNWaqlpXVRt7j00QJUnSoo2ycM1pwBeq6qaq2gu8B3jy/IOqaltVba2qrUce47o2kiRJkrSSjTIn8cvAk5IcRTPc9GnA5Qd/iiS1aJVU/yRJklaSUeYkfjzJu4BPAPuATwLbxtUxSRqZSaIkSdKSjbS6aVX9GvBrY+qLJEmSJGnCRr0EhiStSGH1LDYzDklu497aaXp/i+Z7fl1V+X0vSZIWxaBBkjqgqjYMPk6yAfhvwH8B3juRTkmSpFXJJFFSd01RJXFOkqOBlwMvBP4MeEJV3TLJPkmSpNXFJFFSN62iaxuOQ5JjgVcAPw6cD3x7VX19sr2SJEmrkUmiJHXDl4CbgLcCdwJnJenvrKrfm1C/JEnSKmOSKKm7pqiSCPwO977jDQc7UJIk6WBMEiWpA6rq1ZPugyRJ6oY1k+6AJC2bGvNthUvyjCSXJrk5yU1J/iHJMyfdL0mStLpYSZTUWVO2cM1/prncxS8Bl/c2bwVem+TEqto2sc5JkqRVpdUkce/sDDvvemCbTXLyk69vtT2AP9jyiNbbfMXv/UTrbf6fH3lb6222bffeI1pv89Y9R7be5l371rba3mzl0AdpqX4e+K6q2jWw7e+SPAP4J8AkUZIkLYqVREndNUWVRCDzEkQAquqWwVVOJUmSDsUkUZK6YXeSx1XVvw5uTPI44LYJ9UmaLtdcA5dcAjt2wObNcNppsGXLpHslSUtmkiipm1bJYjNj9ArgwiRvBa6gefdPAF4EtD8eXZo211wD550HmzbBiSfC7t3N47POMlGUtOq4uqkkdUBV/RNwKs33+ouBn+zdf1Jvn6TldMklTYJ49NGwZk3zd9OmZrskrTJWEiV11pStbrqxqr4KvGqBfQ+rqi9PoFvS9Nixo6kgDtq4sdkuSauMlURJ3TVd10n8yNydJB+et+99rfZEmkabNzdDTAft3g0nnDCZ/kjSCEwSJakbBpcw3XSQfZKWw2mnwa5dcOutMDvb/N21q9kuSauMSaKkzkqN97bC1QHuL/RY0rht2dIsUrNhQzPEdMMGF62RtGo5J1GSuuG4JL9AUzWcu0/v8YMn1y1pimzZYlIoqRNMEiV113TVz/4I2LDAfYC3tN8dSZK0WpkkSuqm1bHYzNhU1a9Pug+SBlxzTXP5ix07mkVtTjvNKqOkVcMkUZI6IMn9Ln0xoKrqNa11Rpp211wD553XXCfxxBObVU7PO885ipJWDReukdRJWYbbCnfHAjeAs4BXTqpT0lS65JImQTz6aFizpvm7aVOzXZJWASuJktQBVfW/5+4n2QD8HPAS4ALgfx/oeZKWwY4dTQVx0MaNzXZJWgWsJErqrhrzbYVLsinJbwKfpjkJ+PiqemVV3TjhrknTZfPmZojpoN274YQTJtMfSVoik0RJnTVN10lM8jvAZcBtwLdW1aur6msT7pY0nU47DXbtgltvhdnZ5u+uXc12SVoFTBIlqRteAZwA/CqwM8nu3u22JLsP8VxJ47RlS7NIzYYNzRDTDRtctEbSquKcREndtcKrf+NUVZ70k1aSLVtMCiWtWiaJkiRJkrTSTPB6q555ltRdU7ZwjSRJ6oi5663edluzWvJttzWPr7mmleatJErqplWw2IwkSdKCBq+3Cvf+veSSVqqJVhIlSSQ5Pcnnklyb5JwF9p+R5NNJPpXk8iTfNYl+SpI0FXbsaK6vOmjjRti5s5XmrSRK6i4riYuSZAZ4E/B0YDtwWZILq+qqgcM+DFxYVZXkscBfAI9uv7eSpFVtgvPsVpW5663OVRCh1eutWkmUJJ0KXFtV11XVHuAC4IzBA6rq9qqaS7vXYwouSVqqCc+zW1UmfL1Vk0RJnZUa763DNgPXDzze3tt2H0meneSzwN8CP3mgF0tydm9I6uU33XTT2DsrSVqlBufZrVnT/N20qdmu+5rw9VYdbiqpu7qd2I1TFth2v0+vqt4LvDfJU4HXAAuezqyqbcA2gK1bt/pfQZLU2LGjqSAO2rix2a77m+D1Vq0kSpK2AycNPD4ROODM+Kq6FHh4kmOXu2OSpA6Zm2c3qMV5dlo8K4mSOqvjQ0TH6TJgS5JTgB3AmcDzBg9I8gjg33sL1zweWAfc0npPJY2Xi4ioTaed1sxBhKaCuHt3M8/u2c+ebL90P60miWsyy1GH7WmzSW7bc0Sr7QF88c8f23qbD33gja23+X+//LRW23v8Mdcf+qAxu2Pf4a23+ZAjbmu9za/vbff/k8My22p7Oriq2pfkZcDFwAxwflVdmeSlvf3nAs8BXphkL3AX8OMDC9lIWo3mFhHZtKkZArh7d/O4xXlPmjJz8+zmTkyccEKTIPrvbcWxkiipmwrnJC5BVV0EXDRv27kD918HvK7tfklaRhO+WLem1ATn2WnxnJMoSZI0jSZ8sW5JK5dJoqTuqjHfJKlLXERE0gGYJErqpOB1EiXpoCZ8sW5JK5dJoiRJ0jSa8MW6Ja1cLlwjqbus/knSwbmIiKQFWEmUJEmSJPVZSZTUWfEyfpIkSUtmkiipm1yRVJIkaSgON5UkSZIk9R0ySUxyfpIbk3xmYNumJB9Kck3v7zHL201JWjovgSFJkrR0i6kkvg04fd62c4APV9UW4MO9x5IkSZKkVe6QSWJVXQrsmrf5DODtvftvB/7DeLslSWNQY75JkiRNgWEXrnlIVd0AUFU3JDnuQAcmORs4G+Coh64fsjlJWjqHiEqSJC3dsi9cU1XbqmprVW094ugjlrs5SZIkSdIIhk0Sv5rkeIDe3xvH1yVJGhOHm0qSJC3ZsEnihcCLevdfBPzVeLojSZIkSZqkQ85JTPJO4HuBY5NsB34NeC3wF0nOAr4M/Kfl7KQkLZmXrZAkSRrKIZPEqnruAXY9bcx9kaTxMkmUJElasmVfuEaSJEmStHoMewkMSVrRgsNNJUmShmElUZIkSZLUZyVRUneVpUSpU665Bi65BHbsgM2b4bTTYMuWSfdKkjrHSqKkzkqN9yZpgq65Bs47D267DU48sfl73nnNdknSWJkkSpKkle+SS2DTJjj6aFizpvm7aVOzXZI0ViaJkrqpluEmaXJ27ICNG++7beNG2LlzMv2RpA5zTqIkSRqv5Zg7uHkz7N7dVBDn7N4NJ5ww2utKku7HSqKkzsrseG+SFmG55g6edhrs2gW33gqzs83fXbua7ZKksWq1khhgpuXVH2bWtB/ZPeqhN7be5lGH7Wm9zT37Z1pt78t3bWq1PYC7909HsX3D2ntabW/GjEvqrsG5g3Dv30suGa2auGULnHXWvRXKE06AZz/b1U0laRlMRwQsaTo5j1Bq344dTQVx0MaNzfZRbdliUihJLTBJlNRZXrZCmgDnDkrSquecREmSND7OHZSkVc8kUVI3FVA13pukQ5ubO7hhQzPEdMOG5rHDRCVp1XC4qSRJGq/VMndwOS7VIUkdYCVRUmelxnuT1CHLdakOSeoAk0RJ3VVjvknqjsFLdaxZ0/zdtKnZLklTziRRkiRNnx07mktzDNq4EXbunEx/JGkFMUmU1ElhZQ03TbIpyYeSXNP7e8wCx5yU5O+TXJ3kyiQ/N1qrkg5o7lIdg7xUhyQBJomS1JZzgA9X1Rbgw73H8+0DXlFV3wQ8CfjpJI9psY/S9PBSHZJ0QK5uKqmbVt5lK84Avrd3/+3AR4BXDh5QVTcAN/Tu35bkamAzcFVrvZS66ECrmJ511r3bTzgBnv1sVzeVJEwSJXXYMqxIemySywceb6uqbYt87kN6SSBVdUOS4w52cJKTgW8HPj5UTyU15lYx3bSpWcV09+7m8dy1G00KJel+TBIlafFurqqtB9qZ5BLgoQvs+pWlNJLkAcC7gZdX1e5DHS/pIAZXMYV7/15yiQmiJB2ASaKk7mp5tGlVHXAyU5KvJjm+V0U8HrjxAMetpUkQ31FV71mmrkrTY8eOpoI4aOPGZrskaUEuXCNJ7bgQeFHv/ouAv5p/QJIA5wFXV9Xvtdg3qbtcxVSSlswkUVJnraRLYACvBZ6e5Brg6b3HJDkhyUW9Y54CvAD4/iSf6t2eOXLL0jRzFVNJWjKHm0rqpgJmV87qplV1C/C0BbbvBJ7Zu/9PNJd4lDQurmIqSUtmkihJkrrNVUwlaUlMEiV118opJEqSJK0aJomSJGm6XHPNvcNPN29u5idaaZSkPheukdRZK2zhGkkrwTXXwHnnwW23NZfGuO225vE110y6Z5K0YlhJlNRdZWYnaZ5LLoFNm+Doo5vHc38vucRqoiT1mCRKkqSVa9xDQ3fsaCqIgzZubLZLkgCTREkd5hBRaZWbGxq6aVOT2O3e3Tw+66zFJYoLJZibNzevM1dBhObxCScs29uQpNXGOYmSJGllGhwaumZN83fTpmb7oRxo7uEjHgG7dsGtt8LsbPN3164mgZQkASaJkrqqluEmqV07djRDQQdt3Ag7dx76uQdKMK+9tqlEbtjQvP6GDYuvTErSlHC4qSRJWplGGRp6sLmHW7aYFErSQVhJlNRJAVI11puklp122vBDQ+cSzEHOPZSkRWm1kpgUR87sbbNJdt11VKvtAcysmW29zYc96Gutt/mpWza32t7DNrT/HvfMtl9sP+qwPa23edf+ta22N0vaakjSarZlSzMUdG7xmRNOgGc/e3FVwNNOa+YgQlNB3L27STCf/ezl7bMkdYDDTSVJ0uQc6hIXww4NPViCOe7LakhSx5gkSuosh4hKK9yol7g4lIUSzOVuU5I6wCRRkiRNxuAKpHDv30suWb6EbRJtLpYVTkkrhEmi/v/27jw6qvvKE/j3SggtICEBQiwCA0YYL6xWG3sIxkTCS6dt4sTTSeyJ0x17PPF0OpPpwVkm7rjbPj2THvv0ciZp0pyYtjsNcTxOzDheYgzBSzB4bGOQTCwjFjuWWA0qswmB0J0/bj3Vo1SlelX1atGr7+ecOlK9qvfe772USV3d+7s/omDishVE+W+wDqT5eE53EFdSAqgCvb3+BHTMcBJRHmGQSEQBpfYFjojyV/QSF4cOAdu2AWfOACtX2sL3u3f7m1lLdVkNdxBXUgJs2mTbly4FTpxIP6DL5wwnERUcLoFBRERE3rS3W/B2//32s709veO0tgIbN9rzAwfs964u4Oqrgb17gb/8S/tZXx8JxFI9pyPVZTXcQdyuXcCYMfZ81y7bNnq0vSdVnZ2W0XSrqgL270/9mEREKWKQSESBJervg6igOZm0EyfSC9rcx5kzxx4tLRYg1tQATU3AhAkWHI0ebT+LivwJxIBI19PKSgvMKiu9ZQDdQVxXF1BWBpSXW5AJpB/QcV1HIsojLDclIiKixPwqh4w+TkMDUFtr5Zs33GABIWDBV3V1JAgD/JuvmMqyGu4y1ZoaK4lVjVxHugEd13UkojzCTCIRBZeqvw+iQpZOOaS7TPWZZ4Du7oHHEbkwk+YEiEVFwCuvAOvWAS++CAzL0d+33WWqM2cCR4/a85kzvZesDibVDCcRUQYwk0hEwaSA9OV6EEQB4kfDl/p6YOdOyxo2NQF1dZHjLFxogRZgQePEicC771pZZ0kJUFpqZZ6dnXbMbAZPTlfT48eBDz+0TOLSpZHuppWVlvFLd0ypZDiJiDIgYZAoIqsB/BGAw6p6RXjbwwBuBnAWwB4Af6qqoQyOk4iIiHIp1XJId3npoUMWVO3bBzz1FPC5z9m8vmPHLGvmvL+zE5g+HViyBPjoI6Cnx/ZfsMCCxWx2/HQHuXPmRK779tsZ0BFRYHnJJD4G4IcA/tW17SUA31XVXhH5WwDfBfBt/4dHRJQGlogSeZdoIXenHNJ5z8SJ3rJnra1WjtnRAXz8MTB5MjB7tp1v/Xrg+usHBojO+Ts7L5ynCFhH0njzEjOxGD2XpiCiApQwSFTVV0VkatS29a6nWwHc5vO4iIiIKBWpBEpeF3JPthyyvR3YswcoLrZ5iMXFFixOmgQ0NgJz51qpJhD7/GVl3ktcM7UYfWenHc/NrwY6RER5yo85iV8F8PN4L4rIPQDuAYCR40f4cDoiIo+YSKRCk2qg5Fe2LDpAPXTISjRbW23Ji6oq4PRpe33x4kiwFe/83d0XzlMcrMQ1Uxm/VOdiEhENYWl1NxWR7wHoBbAm3ntUdZWqNqpqY1lNaTqnIyJKiqj6+iDKe+5AKZm1Bf1YyD3WOorr1wMjRwKLFlnG8Phxm4NYW2tNa5xgK975e3u9d/zM1GL07q6mfX3+dDIlIspzKWcSReQrsIY2Tar89kRERJRzqZZG+pEti5XJq6sDtm8HbroJuOUWYPPmSPDqBFu33hrpHBrr/F5LXEtKbImMnh7rPjprljW5STfjl+pcTCKiISylIFFEboQ1qlmiqqf9HRIRkU/49yvPwv+u/yOAYgA/UdUfRL1+ByINyk4CuFdVd2R3lJSQE+z19ABtbRaIDR9uc/8G48dC7p2dFqjt2GHnra62JjVvv23Pa2utYU1LiwVx0ctGeDl/vPmW7e22ravLjt3dDWzcCFxyCbBihfdriIdLUxBRgfGyBMbPAFwHYKyIdAB4ANbNtBTASyICAFtV9WsZHCcREWWIiBQD+BGAZQA6ALwpIs+o6u9cb9sH+8Ngl4jcBGAVgIXZH22BSLVLZ3Mz8PDDwK5dFiyVllqwdeBA4rUFy8tt/ULA1ixMtuHLsGG2v5NN7O62gPDKKyPlotOnA/fcc+FxY61BOHt2JEBcuTISgHZ2AjNmDJxvuWGDbZ88ORIc19QAEyYwuCMiSoGX7qZfirH50QyMhYjIPwqgL9eDGDKuArBbVfcCgIg8AWA5gP4gUVVfd71/K4ComkbyTTpdOhsaLKg8cgQ4e9aCtaamyNqCwMDgE4icb/nySBYvWfZH44E/x4wB7r038bW61yCMHld9vZWSdnVZIOiUrLqvp77ettfV2fZsL5VBRBQgfnQ3JSLKOwI2m0nCJAAfuZ53YPAs4V0AXoj3orur9ZQpU/wYX2FJt0vnuXOx1xZsbbVMXXTwWV7uT1fQc+eApUsti+mUmy5das1nBrvW8+etRNUpFZ04MRLQusflzDVsa4sEgs58y+gy264uC4znzRt4zkwtlUFEFCAMEomISGJsixlhi8hSWJD4qXgHU9VVsHJUNDY2MlJPJDqr1dpqWTW3ZNbli9eE5tgx4KKLBgaDmzZZBjHV87nPe+IEsGRJZFt7u62LeP/9sTN2ra22juLIkRYAnjljJaqnT9tzdxMeZ65hZyfwyisXBoLNzXaObdtsLcbSUnvU1g4ss83UUhlERAGS1hIYRER5TdXfR3B1AJjsel4PYMC6ASIyB8BPACxX1aNZGluwxVo2Ys8ee7gl02k03pIN1dWxl4hwjp/q+eKdt70deO01uy7n2h591LY7urosqCsvt/LU8nJ7fuxYJNh1zJplAWJnpwWLpaW2f2cn8MEH9rO01OZGFhXZ76NGDVz+I1NLZRARBQgziURE9CaABhGZBqATwBcB3O5+g4hMAfBLAF9W1V3ZH2JAxcpqzZlj2bTa2tQ6jcZbsiHeMhMLFw5csH7PHmv6Ei8D6OW8HR3A4sWR/WJl7KqrLdA7fdoCxO5uCzBragZ2XC0tteY1F11kZaXV1cCCBbZ99epIF1dnLuSRI5Yl3bLFnjvXkGi5D85XJCJikEhEARbs7J9vVLVXRL4O4EXYEhirVXWniHwt/PqPAXwfwBgA/xTuat2rqo25GnNgxFrX8OKLgVOnIh1BU1mXL96SDbGWmbjrLtvmBEbDhtl/OxUVkfcl0zjHec/99ydes3HOHCs13b8/Mo/x4outC2qsYHf2bAsEi4qAQ4ci8w/ffx+49FIrVy0vt6zlRx9Z856rropkMe+6a/DlPjhfkYgIAINEIiICoKrPA3g+atuPXb/fDeDubI8r8OJltWbPjt8RNFWJFoV3fq5cCZw8ac1kOjstYC0utqY3Dz44eLDkzsLt2WMZP/f7o8tYnYBt7twLAzanu6mzr3PMUMiOW1UFbN5sgWxZmQWaR45YNrG83ILGkyft+bhxF2Yx7703/n1YuTK9+YrMQhJRQDBIJKJg4hIYNBT4sYi9w0uA4mVReKeZjKoFXiJWAvrBB4Nn1aKzcD09NicRsOxgrGtLFLi6j1lSYuN59VW7V/X1NrZTp4DrrrOg9tw5K3M9ccLKUKdPt2zjmDFWvutkMePdh1iZXa9NfJiFJKIAYZBIRIHFJTAo7yUKkhyJAsD2duCRR4DDh63kcudOYPt2YMWK5AMUp5nM0aOReYCnTtlSFqNHx8+qOfMre3qA554D9u61uYYvvABce61lR6OvLdF1uY+5ZYsFbJddZgFhTw9w+eXAokW2JMbo0cCTT9pcyhEjLAtYV2fzHNva7FoSNeNJNF9xMEOtayqznkQ0iMAHiXPHJtnC2wd7T4zN+jkPnqnM+jkvqT6c1fMd6K5K/CafnT43POvnPHu+OOvnnFmV3f8thwlTfET9EmX3vGSo1q61EssxY+x9Z87Y87VrgQceSG48TjOZUMi6g549a5lEZ45ivKxaZ6cFlBs2WLBaUWHPu7psLcRYge2jj9prHR0WBK5bZ4HtsmWRY9bXW0ayosIe5eVWQjplio3HWTOxvNy2LV9uGcfNmy1ILSsDDh4EJk9OnKFNJ7ObThYy25j1JKIEuAQGEQUXl8CgIHBnqIqK7KeT0XNs3Wrb3EtJjB4NvPFG/OO2t9scvPvvt5/O0hRz5ljWzwmSSkos0+QEE/GyapMmWfby5EkL5oYPt7GMHm1BY/RSFBs2WIDY2mpZwfHjLYP5yCORsTiZvVDIrgmwAHjaNAtcDx68cJmPhQvt/XV1lmEsL7cGN+PGeW+8c9ddkaZBlZXeA6foJTuA1JYSyQYvnykiKmiBzyQSERENaV4zVNF/yBjsjxuxMkkPP2xZt+3bLbM3frzN46ustEBs4sTBs2rNzcCqVTau4mLrklpWZusb9vQMXIfQWSbDyRACtvTFwYPAmjUW6DnzI8+ft6zgqVO2T22tBaFlZReW6QKRTGBtrZWYTp6cXIbMy7zNeNfv1/zSTBtKWc98whJdKiAMEokooJj9ozyV7BdNL/PkFi4EXn45kkXs7rYyz+uui33M6PlzPT02z6+rC7jiCguuPvzQgr2qKmsAM3164rGK2LHOnrXfS0osWKyvH5hRmzTJSkzHj49sc5awWL8e+OxnLas5YoS9r7PTgsWLLrLA9dgxG9Odd144Ji9zPDPB6/zSfJDO3MtCxRJdKjAMEokomBQMEin/pPJF00uG6o47LFN35IgFeqWlwMyZtj2W6ExSW5sFd0VFkcxeZaX9N3T99d6W41i71oLCigoL9kQs+/fhh3acGTMGXte6dTbemhrb59QpCwTr6iIBTEODZQVfecWyh2fPWiDZ1GTXGd0YJtVMoB9yee5kDKWsZ74Yao2JiNLEOYlERETZkspcMCdD1d0NPPMMsGmTlVlGv+e++yygu/JK+3nffQMbxThzEPfssYcjFLLjV7qaoJWXxy4TjWfrVstQVVZa9hCwaxSxBjibNw8c84oVFhQePGgB3+zZFijOm3fhe6uqgE8+AW64wRrTLFligWRVlffxUUQ6cy8LVWenfd7c+PmjAGMmkYiCi01UKd+kMhesvd2ydC++aIHRvHkWwEVnIAfLYiVaw3D4cMv21dRE9unu9rZshJuqNa6pqbGsYm+vBYETJ8ZuorNsGTB1qgXJ+/fb+0aOjDSpcRw/bnMLh0KJ5FCZtzZUsp75giW6VGAYJBIREWWL1y+aTqDR0mLrDfb1RebubdlinTsHW7MwWnSpnLNPR4dlJefOtYDw4EErEVW1MtCZMy3I8cKZF3n+vGUQe3utNLSuzrKJIrH3iw5WnIAWuLAU8qtfBTZuHLg9n0okOW8tuFiiSwWGQSIRBZZwTiLlGy9fNN2BRihkzWN277ZF5EeNsve0tQGLF3vvRhkrg3nxxRYgPvRQ5Lxr11rGT9Wa3txxRyS4iZUhAyLbhg2zgPDgQVvyoqzMyhjHj7drXLrU21gHawDjZB3ztTEM560F11BqTETkAwaJRBRcDBIp33j5oukONI4ft9LNqirL+o0aZaWYoVBypW5eMpgNDcADD8TeP1aG7JFHIg1pnG2jRtl8yNdes+xnaamtU1hUZO9tb/f2pTpeKWS+l0hyaYlgy/fPH5GP2LiGiIgomxoarFvonXfa88cfv3Axe3eDjOpqmxvoBGHd3VYOOny4Zee8loI2N9v7Q6ELF5/3un+shjuHD1s3Vfe2GTOASy8FnnwS+NznbF7i9Om2nEVFhQWaznUGkROMu3HeGhENQcwkElEwKYA+ZhIpTw02d82d9Zs1y7qCFhVZ8NXXZ5m566+PLG+xcmXiJinplsrFypA5y1y4OVmzhgZg3DjrROrOXgLBLr3Mh3lrQ6VxDhHlNQaJRERE2eZk5pwuo6GQZQfXrLHgzwk0amttWYiWFmDaNFvo3vnSn2yTlHRK5SZNsiUz9u+PrGvY22udSN3cWbNMlF5GB0AzZth8zXwJiHI9b42Nc4jIJwwSiSiglHMSKfu8ZnE6O60Uc8sWK8OsrrYy0vXrLUh0BxrTpwP33DPwOBs2WCfRHTsigdvEiZnJ1M2YYWWxTslpV5eVmtbUWIAbK2vm95IB0QHQnj02psWLrQlPvgREuZy3xsY5ROQTBolEFFwMEimbksniTJpkAWFFhT0AKymtq7Mv9Pfem/hLfWurBUojR1qwduaMZRxPn07/OqID3d27LRjbv9+Cwpoa4PLL7dzOguzRWTO/Sy/dQXEoZHMiy8ttTA0NDIgANs4hIt8wSCQiIvJDMlmc5mbgpz+15SFULcA7dQq45hoLerzo6rLlMZyF53t7LRjo6LB5iqmUXroD3ZISC2R/+lM7T3MzsGRJ5L19fXa+e++NfSy/Sy9bWoB9+yKZ1z177J4VuXrwFXpAFMQF3znHkignGCQSUXAxk0jZlEwWp6EBuOEGYPt2y4pVVwPz5tmSEZWV3s7nlH2ePm0BYlubbR8/HjhxIrXSS/dcyS1bgBEjLLu5dy+waRPQ1GTva2sDDhyw1wZb1sLP0stQyAJCJ/NaVQV88okFio6hHhClKx8a5/iJcyyJcoZBIhERkR+SzeLcfrstaTF6dGpf6OfMsXLP/futBLOiwjqK1tamXnrpBLqvvWYBYnm5/bGlpsZef/VVC9SKi63RTn29fWlvasp8A5maGrs/3d1AWZld45EjwLBhltUc6gGRH3LdOMdvnGNJlDMMEokomLgEBmVbslmcdL/QO+ebO9cyimVlllWcNSsyhmRKL9vbrYTz9ddtvt+0aRYkdndb4Ddzpq1/OH48MHasncfJJD7yiAWK7hJVZ5kOv77Mz55tgWtbG/D++7ZtwgQLHoMQEPklSAu+c44lUc4wSCSigFJA+3I9CCokqQR96Xyhd59Pw918Fy2ywA1IrvTSKeurr7eAE7BgbPp0Wwtx/nwrhZ0yxdY+dM8D7OiwctfoEtUdO2yupV+lgc3NwMMPWyltQ4ON69gxG/OddwYnMKKIIM6xJBoiGCQSERH5JdtZHOd8TlaxtDS10kt3Wd/ZsxbkHj5smcnPf96O19JiWcUXXwQWLIgEo4cP2+9tbReWqIZCdky/SgMbGixoOHLExlhdbdnL0lL/zsEmKfklaHMsiYYQBolEFFxsXENDWTIBS7qlq05Z36FDVso5cyZw0UU2Bmd+4jXX2BzITZuAjRuBpUstIBw2zMa3c2dk7mJ3twVxfpcGnjtnDX/cmUyny2q62CQl/wRtjiXREMIgkYiIKN+kErB4zWJGB58zZthcxC1b7Dw1NZFsYGNjZN1F59hNTcC2bcDWrcAttwArVljQWFpqwSFg+8yf739pYCbLD9kkJT8FaY4l0RDCIJGIgomNaygV+VJumKmAJTr43LMHePxx4IorLCPY1WVLSqhaB9P58y14dKurs2yee43EqVOBtWutac24cZZ1LC31vzQwk+WHbJJCRNSvKPFbiIiICoATQJ04YcGCs9Zge3v2x9LZaVm5V14B1q2zn93dttxFOtzBZ1GRHW/0aDv2pz5lWcSzZ20+odMEp7TUHm7R2buGBuCBB4DHHrOupr29tt6j36WaTvlhZaXdIz/P4WQp3dgkhYgKFDOJRBRcnJNIycincsOSEpv7N2aMBW5nztjzpUsH3y9eJtTZvmaNdSi99FILAEMhu85QyJ7fcgvw299akFdba9tra62TaCiUOHuXjdLATJ2DTVKIiPoxSCSi4GKQSMnIdbmhO8B75x3L7jmf4eif8faPNY+xqcnmDI4eDUyebMHe5s2WKayuthJTp+FMXR0wZ44ta+E0CrnvPnttqDQPSbVkmE1SiIj6MUgkIiICcrsmW3SA9/rrwPDh1s2zp8fGtHSpZfjiiZcJXb3a5hZWVwOXXWYBYlER8N57ds179gCXXx5ZOqO4GHjwwYHBUfTzfJm/GT2mdDqUskkKEREAzkkkosDSyALjfj0o2JqbrbwwFLKAKRSy583NmT/3hg3A+fO2AP2vfmXzIUUsk7l8ObBkiXUcHSxg7ey097tVVQEffRTZXldnGcRRo2z79OnAQw/Zz2Tm+OXT/E236DmX1dWRtRqJiMizrGYSi6EYUdyTzVOipy/7ydLaspNZP+exnoqsn3Nclq+z53z2/7ecVnU06+fcd3xM1s/55pEpWT3fqd7hWT0fkSe5LDdsaQH27QMqKiyw6e0Fdu2yJjKLF3ubHxcvEzp58oXbnWY0114b6U66bFly482n+ZtuuS4ZJiIKCJabElEwKSwbRJSMXJUbhkKW+aoI/8GvttbmJJ4+7T1gjdd45frrgSeesNLV8eMtmCwuTq8hS74GY7ksGSYiChAGiUQUXCwRpaGipsYCuu5uoKzMupmWlwOzZ1s5qBexMqHz51vTGqcZzaFDwNGjwIoV3kpK4805zNdgjB1KiYh8wSCRiIgo12bPBkaMsHULnWUppk+3RzKiM6ErV0bKQp3toRCwe/fgJaaJGsDkazDGDqVERL5gkEhEwcVMIg0VTtA1d+6FQVe6TXNSLQtNNOcwn4MxdiglIkobg0QiIho60l12IR+XbQAyF3SlWhbqJbhkMEZEFFgMEokooBToYyYxUNJdAy/d/TMtE0FXqmWh2ZhzmK8BOxERcZ1EIgooBVT7fH1QjqW7Bl4hrqHnZCgrK5NbBzHTa0bm6zqLREQEgJlEIiIaKtJddiFfl23ItFQylJmec5iv6ywSEREABolEFGQsNw2WdEsg83XZhnyVyTmHhRqwExENESw3JSKioSHdEshMl1CSd07A7saAnYgobyQMEkVktYgcFpF3Y7y2QkRURMZmZnhERGlQ9fdBuZXq/Dq/9if/MGAnIsprXspNHwPwQwD/6t4oIpMBLAPwe/+HRUSUJlX78knBkm4JJJdtyA/5vM4iERElDhJV9VURmRrjpb8H8C0A/9fvQREREVHAMWAnIspbKc1JFJFbAHSq6g4P771HRN4SkbdOh3pSOR0RUWryqNxUREaLyEsi0h7+WRPjPWUi8v9EZIeI7BSRv07rpEREREQpSDpIFJEKAN8D8H0v71fVVaraqKqNFdWlyZ6OiCgovgNgo6o2ANgYfh6tB8CnVXUugHkAbhSRq7M3RCIiIqLUlsC4GMA0ADtEBADqAWwTkatU9aCfgyMiSofm15zE5QCuC//+OICXAXzb/QZVVQAnw09Lwg92zCEiIqKsSjpIVNVWAOOc5yLyAYBGVf3Yx3EREaUpIx1Jx4rIW67nq1R1lcd961T1AACo6gERGRfrTSJSDOBtADMA/EhV30hrxERERERJShgkisjPYH/9HisiHQAeUNVHMz0wIqI89LGqNsZ7UUQ2ABgf46XveT2Bqp4HME9EqgE8LSJXqOqAJYiIiIiIMsVLd9MvJXh9qm+jISLyiwLoy26lpqrGXeRNRA6JyIRwFnECgMMJjhUSkZcB3AiAQSIRERFlTUrdTYmIKGnPAPhK+PevIMbyQSJSG84gQkTKATQDaMvWAImIiIgABolEFGTa5+8jPT8AsExE2gEsCz+HiEwUkefD75kAYJOItAB4E8BLqvpsuicmIiIiSkYq3U2JiChJqnoUQFOM7fsB/GH49xYA87M8NCIiIqILMEgkokBSAJrlOYlEREREQcAgkYiCSdWPElEiIiKigsM5iURERERERNSPmUQiCiyWmxIRERElj5lEIiIiIiIi6sdMIhEFF+ckEhERESVNVLNXjiUiRwB8mMKuYwF87PNw8hGvMzgK4RqB1K/zIlWt9XswbiLya9j4/PSxqt7o8zEDLY1/94HC+e/ID7xX3vFeecP75B3vlXe8V95l617F/E6W1SAxVSLylqo25nocmcbrDI5CuEagcK6TcoOfL+94r7zjvfKG98k73ivveK+8y/W94pxEIiIiIiIi6scgkYiIiIiIiPoNlSBxVa4HkCW8zuAohGsECuc6KTf4+fKO98o73itveJ+8473yjvfKu5zeqyExJ5GIiIiIiIiyY6hkEomIiIiIiCgLGCQSERERERFRv7wPEkXkRhF5X0R2i8h3cj2eTBCRySKySUTeE5GdIvJfcj2mTBGRYhF5R0SezfVYMkVEqkXkKRFpC/9vek2ux+Q3Efmv4c/quyLyMxEpy/WYaGhJ9G+7iMwSkS0i0iMiK6Je+0BEWkVku4i8lb1R54aHe3WHiLSEH6+LyFyv+wZJmveJn6kLX18evk/bReQtEfmU132DJs17VTCfK6+fCxH5AxE5LyK3JbtvUKR5r7L3mVLVvH0AKAawB8B0AMMB7ABwWa7HlYHrnABgQfj3SgC7gnid4ev7CwBrATyb67Fk8BofB3B3+PfhAKpzPSafr28SgH0AysPPnwTwJ7keFx9D5+Hl33YA4wD8AYC/AbAi6rUPAIzN9XXk0b36dwBqwr/fBOANr/sG5ZHOfeJnKua9GolI34o5ANoK7TOV7r0qpM+V189F+H2/AfA8gNv4mUruXmX7M5XvmcSrAOxW1b2qehbAEwCW53hMvlPVA6q6Lfz7CQDvwb6IB4qI1AP4DICf5HosmSIiVQCuBfAoAKjqWVUN5XRQmTEMQLmIDANQAWB/jsdDQ0vCf9tV9bCqvgngXC4GmEe83KvXVbUr/HQrgHqv+wZIOvep0Hi5Vyc1/I0UwAgA6nXfgEnnXhUSr5+LPwfwCwCHU9g3KNK5V1mV70HiJAAfuZ53IIDBk5uITAUwH8AbOR5KJvwDgG8B6MvxODJpOoAjAP4lXFb7ExEZketB+UlVOwE8AuD3AA4A+ERV1+d2VDTEpPtvuwJYLyJvi8g9vo4s/yR7r+4C8EKK+w5l6dwngJ+pAfdKRG4VkTYAzwH4ajL7Bkg69woonM9VwvskIpMA3Argx8nuGzDp3Csgi5+pfA8SJca2wP6FRkRGwv5q8E1VPZ7r8fhJRP4IwGFVfTvXY8mwYQAWAFipqvMBnAIQqPp6EamB/dVrGoCJAEaIyH/I7ahoiEn33/ZFqroAVjL4ZyJyrT/Dykue75WILIUFP99Odt8ASOc+AfxMDbhXqvq0qs4C8FkADyWzb4Ckc6+AwvlceblP/wDg26p6PoV9gySdewVk8TOV70FiB4DJruf1CGhZm4iUwALENar6y1yPJwMWAbhFRD6ApdY/LSL/ltshZUQHgA5VdTLBT8GCxiBpBrBPVY+o6jkAv4TN9SHyKq1/21V1f/jnYQBPw8p3gsrTvRKRObBS/uWqejSZfQMinfvEz9QgnwtVfRXAxSIyNtl9AyCde1VInysv96kRwBPh74G3AfgnEfmsx32DJJ17ldXPVL4HiW8CaBCRaSIyHMAXATyT4zH5TkQENoftPVX9u1yPJxNU9buqWq+qU2H/O/5GVQOXfVLVgwA+EpFLwpuaAPwuh0PKhN8DuFpEKsKf3SbYPFoir1L+t11ERohIpfM7gOsBvJuxkeZewnslIlNgf6z5sqruSmbfAEn5PvEzFfNezQj/+w4RWQBrsHHUy74Bk/K9KrDPVcL7pKrTVHVq+HvgUwD+s6qu87JvwKR8r7L9mRqWqQP7QVV7ReTrAF6EdflZrao7czysTFgE4MsAWkVke3jbf1fV53M3JErDnwNYE/6Pfy+AP83xeHylqm+IyFMAtgHoBfAOgFW5HRUNJfH+bReRr4Vf/7GIjAfwFoAqAH0i8k0AlwEYC+Dp8HeyYQDWquqvc3AZWeHlXgH4PoAxsL82A0CvqjYW0P+HpnWfANSBn6noe/V5AHeKyDkA3QC+EG7OUjCfKSC9eyUiBfO58nifkto3G+POhXTuFbL8b5XTspeIiIiIiIgo78tNiYiIiIiIKIsYJBIREREREVE/BolERERERETUj0EiERERERER9WOQSERERERERP0YJBIRERHlmIiczMAx/0pEVqSw3zwR+cM4r90hIttdjz4RmefDWF8WkcZ0j0NE/mCQSERERERu8wDEDBJVdY2qzlPVebA1nj9Q1e3ZGxoRZQODRCIiIqI8JCI3i8gbIvKOiGwIL9DuZAhXh7Nve0XkG659vici74vIBgCXuLZ/Q0R+JyItIvJEeNtVIvJ6+Pivi8glIjIcwIMAvhDOFH5hkCF+CcDPYoz7JhF50vX8OhH5Vfj3lSLylojsFJG/jnPdJ12/3yYij4V/rxWRX4jIm+HHovD2Ja7M5jsiUpn47hLRYIblegBEREREFNNvAVytqioidwP4FoD/Fn5tFoClACoBvC8iKwHMAfBFAPNh3/G2AXg7/P7vAJimqj0iUh3e1gbgWlXtFZFmAP9DVT8vIt8H0KiqX08wvi8AWB5j+0sA/llERqjqqfD7fh5+7XuqekxEigFsFJE5qtri8X78I4C/V9XfisgUAC8CuBTACgB/pqqbRWQkgDMej0dEcTBIJCIiIspP9QB+LiITAAwHsM/12nOq2gOgR0QOA6gDsBjA06p6GgBE5BnX+1sArBGRdQDWhbeNAvC4iDQAUAAlXgcmIgsBnFbVd6NfCwedvwZws4g8BeAzsAAXAP5YRO6BfQedAOCy8Ni8aAZwmYg4z6vCWcPNAP5ORNYA+KWqdni9DiKKjeWmRERERPnpfwP4oarOBvCfAJS5Xutx/X4ekT/8a5xjfQbAjwBcCeBtERkG4CEAm1T1CgA3Rx0/kS8iRqmpy88B/DGATwN4U1VPiMg0WNavSVXnAHguzjnd1+B+vQjANc6cSFWdpKonVPUHAO4GUA5gq4jMSuI6iCgGBolERERE+WkUgM7w71/x8P5XAdwqIuXhDNvNACAiRQAmq+omWEavGsDIqOP/ies4J2BlrDGFj/fvATwxyFheBrAAwH9EpNS0CsApAJ+E51feFGffQyJyafg8t7q2rwfQXwLrdFUVkYtVtVVV/xbAW7BSXCJKA4NEIiIiotyrEJEO1+MvAPwVgP8jIq8B+DjRAVR1Gywg2w7gFwBeC79UDODfRKQVwDuweX0hAP8LwP8Ukc3h9zg2wco64zWuuRZAh6ruHWQs5wE8CwsEnw1v2xE+/04Aq2FlorF8J7zPbwAccG3/BoDGcPOd3wH4Wnj7N0XkXRHZAaAbwAvxxkVE3ohqvKoEIiIiIiIiKjTMJBIREREREVE/BolERERERETUj0EiERERERER9WOQSERERERERP0YJBIREREREVE/BolERERERETUj0EiERERERER9fv/mPNy9b5F/skAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "builtup_1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot Landsat 7 ndvi for AOIs\n",
    "for desc, neon_L7, og_L7 in zip(aoi_gdf.dropna().desc.values, res_L7_means, L7_arrs):\n",
    "    \n",
    "    print(desc)\n",
    "    # NEON NDVI\n",
    "    neon_num = neon_L7.sel(sat_band='L7_NIR') - neon_L7.sel(sat_band='L7_Red')\n",
    "    neon_den = neon_L7.sel(sat_band='L7_NIR') + neon_L7.sel(sat_band='L7_Red')\n",
    "    neon_ndvi = neon_num / neon_den\n",
    "    \n",
    "    # Satellite NDVI\n",
    "    sat_num = og_L7.sel(band=4) - og_L7.sel(band=3)\n",
    "    sat_den = og_L7.sel(band=4) + og_L7.sel(band=3)\n",
    "    sat_ndvi = (sat_num.astype('float')/10000) / (sat_den.astype('float')/10000)\n",
    "    \n",
    "    ## check shapes. if less than 2x2, fuhgeddaboutit\n",
    "    neon_vals = np.flipud(neon_ndvi.values)\n",
    "    sat_vals = sat_ndvi.values\n",
    "    \n",
    "    # hard threshold bad values\n",
    "    neon_vals[neon_vals>1] = 1\n",
    "    neon_vals[neon_vals<-1] = 1\n",
    "    \n",
    "    neon_shape = neon_vals.shape\n",
    "    sat_shape = sat_vals.shape\n",
    "    \n",
    "    if 1 in np.array([neon_shape] + [sat_shape]):\n",
    "        print('array is too small for anything, continuing...')\n",
    "        continue\n",
    "    \n",
    "    # slice if necessary\n",
    "    if neon_shape[0] < sat_shape[0]:\n",
    "        sat_vals = sat_vals[:neon_shape[0],:]\n",
    "            \n",
    "    if neon_shape[1] < sat_shape[1]:\n",
    "        sat_vals = sat_vals[:, :neon_shape[1]]\n",
    "        \n",
    "    if neon_shape[0] > sat_shape[0]:\n",
    "        neon_vals = neon_vals[:sat_shape[0],:]\n",
    "            \n",
    "    if neon_shape[1] > sat_shape[1]:\n",
    "        neon_vals = neon_vals[:, :sat_shape[1]]\n",
    "    \n",
    "    # get the correlation coefficient\n",
    "    corr = np.ma.corrcoef(np.ma.masked_invalid(neon_vals.flatten()), np.ma.masked_invalid(sat_vals.flatten()))[0,1]\n",
    "    \n",
    "    # plot the NDVI\n",
    "    fig, ax = plt.subplots(2,2, figsize=(15,15))\n",
    "    fig.subplots_adjust(left=0.02, bottom=0.06, right=0.95, top=0.94, wspace=0.05)\n",
    "    \n",
    "    im = ax[0,0].imshow(neon_vals)\n",
    "    fig.colorbar(im, ax=ax[0,0])\n",
    "    ax[0,0].set_title('NEON resampled')\n",
    "    \n",
    "    im = ax[0,1].imshow(sat_vals)\n",
    "    fig.colorbar(im, ax=ax[0,1])\n",
    "    ax[0,1].set_title('Landsat 7')\n",
    "    \n",
    "    im = ax[1,0].imshow(sat_vals - neon_vals)\n",
    "    fig.colorbar(im, ax=ax[1,0])\n",
    "    ax[1,0].set_title('Landsat 7 and NEON differenced')\n",
    "    \n",
    "    \n",
    "    ax[1,1].scatter(sat_vals.flatten(), neon_vals.flatten(), alpha=0.4, color='r')\n",
    "    ax[1,1].set_xlabel('Landsat 7 values')\n",
    "    ax[1,1].set_ylabel('NEON resampled values')\n",
    "    ax[1,1].set_title(f'correlation {corr}')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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