custom_interp.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0d88dc7a-f4e7-451a-9b45-4ee2de251fa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import xarray as xr\n",
    "import h5py\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import cv2\n",
    "import rasterio\n",
    "from pyproj import Proj, transform\n",
    "from osgeo import gdal, gdal_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ab10b093-1627-490b-8f8e-c91fbe4f0294",
   "metadata": {},
   "outputs": [],
   "source": [
    "#read in file\n",
    "f = h5py.File('VNP09GA.A2023100.h08v05.002.2023105183328.h5','r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7d081483-6b53-408a-8de8-b30906b6989f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['HDFEOS',\n",
       " 'HDFEOS/ADDITIONAL',\n",
       " 'HDFEOS/ADDITIONAL/FILE_ATTRIBUTES',\n",
       " 'HDFEOS/GRIDS',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/Projection',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SensorAzimuth_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SensorZenith_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SolarAzimuth_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SolarZenith_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M10_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M11_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M1_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M2_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M3_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M4_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M5_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M7_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M8_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF1_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF2_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF3_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF4_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF5_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF6_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF7_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/land_water_mask_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/num_observations_1km',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/obscov_1km_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/orbit_pnt_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/XDim',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/YDim',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/Projection',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I1_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I2_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I3_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/iobs_res_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/num_observations_500m',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/obscov_500m_1',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/XDim',\n",
       " 'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/YDim',\n",
       " 'HDFEOS INFORMATION',\n",
       " 'HDFEOS INFORMATION/StructMetadata.0',\n",
       " 'SensorAzimuth_c',\n",
       " 'SensorZenith_c',\n",
       " 'SolarAzimuth_c',\n",
       " 'SolarZenith_c',\n",
       " 'SurfReflect_I1_c',\n",
       " 'SurfReflect_I2_c',\n",
       " 'SurfReflect_I3_c',\n",
       " 'SurfReflect_M10_c',\n",
       " 'SurfReflect_M11_c',\n",
       " 'SurfReflect_M1_c',\n",
       " 'SurfReflect_M2_c',\n",
       " 'SurfReflect_M3_c',\n",
       " 'SurfReflect_M4_c',\n",
       " 'SurfReflect_M5_c',\n",
       " 'SurfReflect_M7_c',\n",
       " 'SurfReflect_M8_c',\n",
       " 'SurfReflect_QF1_c',\n",
       " 'SurfReflect_QF2_c',\n",
       " 'SurfReflect_QF3_c',\n",
       " 'SurfReflect_QF4_c',\n",
       " 'SurfReflect_QF5_c',\n",
       " 'SurfReflect_QF6_c',\n",
       " 'SurfReflect_QF7_c',\n",
       " 'iobs_res_c',\n",
       " 'land_water_mask_c',\n",
       " 'nadd_obs_row_1km',\n",
       " 'nadd_obs_row_500m',\n",
       " 'obscov_1km_c',\n",
       " 'obscov_500m_c',\n",
       " 'orbit_pnt_c']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#add contents of file to list\n",
    "allList=[]\n",
    "f.visit(allList.append)\n",
    "allList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6ff49a1a-6223-4610-9d5a-2bf562235031",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'VIIRS_Grid_1km_2D': ['HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/Projection',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SensorAzimuth_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SensorZenith_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SolarAzimuth_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SolarZenith_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M10_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M11_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M1_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M2_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M3_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M4_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M5_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M7_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M8_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF1_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF2_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF3_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF4_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF5_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF6_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_QF7_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/land_water_mask_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/num_observations_1km',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/obscov_1km_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/orbit_pnt_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/XDim',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/YDim'],\n",
       " 'VIIRS_Grid_500m_2D': ['HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/Projection',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I1_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I2_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I3_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/iobs_res_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/num_observations_500m',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/obscov_500m_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/XDim',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/YDim']}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get the gridtypes - one should be ~463m and the other ~926m\n",
    "gridTypes=list(f['HDFEOS/GRIDS'].keys())\n",
    "\n",
    "#make dictionary for separate gridtypes\n",
    "allH5Datasets={}\n",
    "for g in gridTypes:\n",
    "    allH5Datasets[g]=[]\n",
    "\n",
    "#put all h5 datasets within each gridtype in respective dictionary entry\n",
    "for item in allList:\n",
    "    gridCheck=[g in item for g in gridTypes]\n",
    "    if True in gridCheck and type(f[item]) is h5py.Dataset:\n",
    "        matchingGrid=[g for g, boolCheck in zip(gridTypes,gridCheck) if boolCheck][0] #need 0 here because output is list\n",
    "        allH5Datasets[matchingGrid].append(item)\n",
    "\n",
    "allH5Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1ddf012e-774a-4fac-bccb-3a8aadda2596",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['_M1_', '_M2_', '_M3_', '_M4_', '_M5_', '_M6_', '_M7_', '_M8_', '_M9_', '_M10_', '_M11_'] ['_I1_', '_I2_', '_I3_']\n"
     ]
    }
   ],
   "source": [
    "possible_M_bands=['_M'+str(i)+'_' for i in range(1,12)]\n",
    "possible_I_bands=['_I'+str(i)+'_' for i in range(1,4)]\n",
    "\n",
    "print(possible_M_bands,possible_I_bands)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bc7db8ae-4f26-444a-a96f-0006e3ce2d87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M1_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M2_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M3_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M4_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M5_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M7_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M8_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M10_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data Fields/SurfReflect_M11_1'],\n",
       " ['HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I1_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I2_1',\n",
       "  'HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data Fields/SurfReflect_I3_1'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#group the M & I bands into lists - M band is 926m while I band is 463m\n",
    "M_bands=[]\n",
    "for M in possible_M_bands: #nested for loop - not great but fine here\n",
    "    for H5Dataset in allH5Datasets['VIIRS_Grid_1km_2D']:\n",
    "        if M in H5Dataset:\n",
    "            M_bands.append(H5Dataset)\n",
    "            continue\n",
    "\n",
    "I_bands=[]\n",
    "for I in possible_I_bands:\n",
    "    for H5Dataset in allH5Datasets['VIIRS_Grid_500m_2D']:\n",
    "        if I in H5Dataset:\n",
    "            I_bands.append(H5Dataset)\n",
    "            continue\n",
    "\n",
    "\n",
    "M_bands,I_bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e066dcf5-65c8-409a-a723-a2c25613dbad",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bwal/anaconda3/envs/analysis/lib/python3.11/site-packages/osgeo/gdal.py:312: FutureWarning: Neither gdal.UseExceptions() nor gdal.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "j=gdal.Open('VNP09GA.A2023100.h08v05.002.2023105183328.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a85d61d3-689e-4d74-abd6-88c51e2dc89c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M10_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M11_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M1_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M2_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M3_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M4_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M5_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M7_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_1km_2D/Data_Fields/SurfReflect_M8_1'],\n",
       " ['HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data_Fields/SurfReflect_I1_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data_Fields/SurfReflect_I2_1',\n",
       "  'HDF5:\"VNP09GA.A2023100.h08v05.002.2023105183328.h5\"://HDFEOS/GRIDS/VIIRS_Grid_500m_2D/Data_Fields/SurfReflect_I3_1'])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mbandSubsets=[i[0] for i in j.GetSubDatasets() for mb in M_bands if mb.replace(' ','_') in i[0]]\n",
    "mbandSubsets.sort()\n",
    "\n",
    "ibandSubsets=[i[0] for i in j.GetSubDatasets() for ib in I_bands if ib.replace(' ','_') in i[0]]\n",
    "ibandSubsets.sort()\n",
    "\n",
    "mbandSubsets,ibandSubsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "737e61a5-eee8-4445-956b-5f6905d3ebea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'PROJCS[\"unnamed\",GEOGCS[\"Unknown datum based upon the custom spheroid\",DATUM[\"Not specified (based on custom spheroid)\",SPHEROID[\"Custom spheroid\",6371007.181,0]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]]],PROJECTION[\"Sinusoidal\"],PARAMETER[\"longitude_of_center\",0],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],UNIT[\"Meter\",1],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH]]'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdal.Open(mbandSubsets[0]).GetProjection()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c3bda7f0-49a0-4e14-8db3-ccdccd09459d",
   "metadata": {},
   "outputs": [],
   "source": [
    "band=gdal.Open(mbandSubsets[-3])\n",
    "band_np=band.ReadAsArray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6805d130-fb44-47ac-a816-d274a993fb88",
   "metadata": {},
   "outputs": [],
   "source": [
    "bandInfo=band.GetGeoTransform()\n",
    "\n",
    "ulx=bandInfo[0]\n",
    "uly=bandInfo[3]\n",
    "\n",
    "xSize=bandInfo[1]\n",
    "ySize=bandInfo[5]\n",
    "\n",
    "numX=band.RasterXSize\n",
    "numY=band.RasterYSize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "65b614a5-7264-475b-ba75-ee6b5a0a4679",
   "metadata": {},
   "outputs": [],
   "source": [
    "xVals=np.arange(ulx,ulx+(numX)*xSize,xSize)\n",
    "yVals=np.arange(uly,uly+(numY)*ySize,ySize)\n",
    "\n",
    "xx,yy=np.meshgrid(xVals,yVals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c754f68c-0b94-4624-8340-adf42f13e634",
   "metadata": {},
   "outputs": [],
   "source": [
    "coords={'x':xx[0,:],\n",
    "        'y':yy[:,0],\n",
    "       }\n",
    "\n",
    "dims=('y','x')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3fba0a6c-b687-4433-be27-985c1139e6e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "bandXr=xr.DataArray(band_np,dims=dims,coords=coords)*1e-4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "beb0bf74-9e8b-45c7-be82-1dc0dba59dce",
   "metadata": {},
   "outputs": [],
   "source": [
    "projection_info = (\n",
    "    '+proj=sinu '  # Projection type (Sinusoidal)\n",
    "    '+a=6371007.181 '  # Semi-major axis of the custom spheroid\n",
    "    '+units=m '  # Units (Meters)\n",
    "    '+lon_0=0 '  # Longitude of center\n",
    "    '+x_0=0 '  # False easting\n",
    "    '+y_0=0'  # False northing\n",
    ")\n",
    "\n",
    "custom_spheroid_proj = Proj(projection_info)\n",
    "ca_albers=Proj('epsg:3310')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8de42453-cfd3-414e-a825-d6833a0f051b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/s7/_qgrlcvx3nnb91r45lq895z40000gn/T/ipykernel_64965/744536621.py:1: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
      "  transXX,transYY=transform(custom_spheroid_proj,ca_albers,xx,yy)\n"
     ]
    }
   ],
   "source": [
    "transXX,transYY=transform(custom_spheroid_proj,ca_albers,xx,yy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "55843e3e-4169-48f0-a457-b2b236173e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "newX=np.arange(transXX.min(),transXX.max(),xSize)\n",
    "newY=np.arange(transYY.max(),transYY.min(),ySize)\n",
    "\n",
    "newXgrid,newYgrid=np.meshgrid(newX,newY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c5c9d611-e6ec-4664-90cc-5b4d0e329899",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-897835.82098927, -896913.0386706 , -895990.24454369, ...,\n",
       "         211713.02978098,  212641.21961803,  213569.40665556],\n",
       "       [-896587.2347787 , -895664.44221946, -894741.63787129, ...,\n",
       "         212960.87788108,  213889.05694026,  214817.2331842 ],\n",
       "       [-895338.8786986 , -894416.07591045, -893493.26135267, ...,\n",
       "         214208.4904883 ,  215136.65877196,  216064.82422465],\n",
       "       ...,\n",
       "       [ 436516.48344587,  437449.25926091,  438382.03056751, ...,\n",
       "        1547086.87175633, 1548007.3913368 , 1548927.89496313],\n",
       "       [ 437500.83844035,  438433.62444518,  439366.40593216, ...,\n",
       "        1548077.14329378, 1548997.66293344, 1549918.16661144],\n",
       "       [ 438484.98103484,  439417.77723707,  440350.56891207, ...,\n",
       "        1549067.21503352, 1549987.7347456 , 1550908.23848849]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "transXX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f8ae726b-1463-4c53-8a09-eb2cbeb31b3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-11119505.196667  , -11118578.57123394, -11117651.94580089, ...,\n",
       "        -10010334.55329935, -10009407.92786629, -10008481.30243324],\n",
       "       [-11119505.196667  , -11118578.57123394, -11117651.94580089, ...,\n",
       "        -10010334.55329935, -10009407.92786629, -10008481.30243324],\n",
       "       [-11119505.196667  , -11118578.57123394, -11117651.94580089, ...,\n",
       "        -10010334.55329935, -10009407.92786629, -10008481.30243324],\n",
       "       ...,\n",
       "       [-11119505.196667  , -11118578.57123394, -11117651.94580089, ...,\n",
       "        -10010334.55329935, -10009407.92786629, -10008481.30243324],\n",
       "       [-11119505.196667  , -11118578.57123394, -11117651.94580089, ...,\n",
       "        -10010334.55329935, -10009407.92786629, -10008481.30243324],\n",
       "       [-11119505.196667  , -11118578.57123394, -11117651.94580089, ...,\n",
       "        -10010334.55329935, -10009407.92786629, -10008481.30243324]])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d0f1ea68-20d4-49b8-8e93-ca71b971e410",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[4447802.078667  , 4447802.078667  , 4447802.078667  , ...,\n",
       "        4447802.078667  , 4447802.078667  , 4447802.078667  ],\n",
       "       [4446875.45323394, 4446875.45323394, 4446875.45323394, ...,\n",
       "        4446875.45323394, 4446875.45323394, 4446875.45323394],\n",
       "       [4445948.82780089, 4445948.82780089, 4445948.82780089, ...,\n",
       "        4445948.82780089, 4445948.82780089, 4445948.82780089],\n",
       "       ...,\n",
       "       [3338631.43529935, 3338631.43529935, 3338631.43529935, ...,\n",
       "        3338631.43529935, 3338631.43529935, 3338631.43529935],\n",
       "       [3337704.80986629, 3337704.80986629, 3337704.80986629, ...,\n",
       "        3337704.80986629, 3337704.80986629, 3337704.80986629],\n",
       "       [3336778.18443323, 3336778.18443323, 3336778.18443323, ...,\n",
       "        3336778.18443323, 3336778.18443323, 3336778.18443323]])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8b619fe6-bab1-4385-8994-102bbb4a0ccd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-897835.82098927, -896909.19555621, -895982.57012316, ...,\n",
       "       1548455.32227804, 1549381.9477111 , 1550308.57314416])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d68214be-e94d-4f63-a2a2-eedaf1485de2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 270420.26584534,  269493.64041228,  268567.01497923, ...,\n",
       "       -874888.7694117 , -875815.39484476, -876742.02027781])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "31701a40-39d6-4d41-8b95-47ee45fdf5df",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/s7/_qgrlcvx3nnb91r45lq895z40000gn/T/ipykernel_64965/3870301730.py:1: FutureWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
      "  projX,projY=transform(ca_albers,custom_spheroid_proj,newXgrid,newYgrid)\n"
     ]
    }
   ],
   "source": [
    "projX,projY=transform(ca_albers,custom_spheroid_proj,newXgrid,newYgrid)\n",
    "\n",
    "projX = xr.DataArray(projX,coords={'y':range(newXgrid.shape[0]),'x':range(newXgrid.shape[1])},dims=('y','x'))\n",
    "projY = xr.DataArray(projY,coords={'y':range(newXgrid.shape[0]),'x':range(newXgrid.shape[1])},dims=('y','x'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "79a31c76-9712-4e63-ad0e-a3262fbe572f",
   "metadata": {},
   "outputs": [],
   "source": [
    "bandInterp = bandXr.interp(y=projY,x=projX,method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e2ce8226-8af3-4e18-b6ae-8c768972cf8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Z61eLczhct00kNaB2GbWaxoD8fJ4ZtefsPhY7YEjQIHSsprXD2is0rKaEKHwoTVsK1w0n8DomXbnPnsm4JkWCjmCNtc/60++XusbKBhn8fzldw5+n3olzZOybF+S9mV6WFopY5v1NJDSKlm94Rg/HNnMKdZj1NRl5Soztk+3g/uWJFUyIYPqG+WCx61geqxRCXuiF0JHyRA/drNwTo93gJBk8GQB/Rp5owYTJr8ATRoQJ9M+18WF+rQul04/xeWZYk0HJLGL/+8kuiIhstpe62WD9rGnv51rXLkvqYUpuIXTkdflZ1hpgvgIxbNJLk5hnY92V681bti96Jr3yq6C/2CqKoiiKoig9gb7YKoqiKIqiKD2BvtgqiqIoiqIoPcFlrbGN1D2KRC/qMlJHpFboH/K7odw6LGObWknUj9SHUaeUWJT3TUVl7EpO0kGtytJbUE8SOS01MjaL0zaUXlnXRkRkVVkMUpMOiGkUjUqsIJ1PCB1QqPOYJmnh2kFxCtcy1cbk9y+bSYFyz0r9Hqe8KVgXGqsybWkNb9Rc3yfOaQziMnJasq/cgtT0wTlzRXmQaShFLFwDndU4x1uG2JYTd6yC8qbPT4o6XFPL2zL4onzG5AzTHxvmjJdl8XEXUftoNaWG2WfrwOqaRIpce8402KZYkQYdq6jD49TyZzLEcrYGUGNtV5uijtD3Mi2sn5SaNIvFFzXGS66ze3H9bCE4LqhJN5iewnsvbsf9trpGXsdmjzj19lWizuh356BsRdh8NWnPeXxcQyxRrkfnGtBmX7D2OD1t0NiydeCzaWVzPa0Bk/ZRwC7jxQy7Np/yhljNAZelTl7OIT8a/HsXj7PL4/Ca4DGAOznDHDfEQ15O4oyMGc8/34yxY/k8Ypp7qxXggSAiz6Br5XHaLa5PNmn7GaZY4+I6bE1yPbjxuiZbAetzp4l95SYMeuoQ8zXSwPZGatifkSUZKz3UO8Uyz4jtBo/RK3VD11QURVEURVGUH2P0xVZRFEVRFEXpCfTFVlEURVEURekJ9MVWURRFURRF6Qkub/NYw6VI56L4OVaUAudiGcXe9jpp4nDOYp3q5i4ry/v2fWkdlAd+7ryo89R5rBNPoAmpG5VC9Ng8OxBGXM2F8waESSbEdUXwd2NQfGZMSUgzAA+m3ulHc0BzQJoOukk81snLe0eqrM5aNKGZxOqF/egEFMYgImqux0QPjRE0LvmGFZNYwDmTPC0NDtzwInANhocwyTeY6ShxYhbLpkD/Npp4vJw0bPBEFDwxQd9jcs7Xdo/hfSxpVIpNLEC5O94PZWdRGuSsliFoOIevA54Ioi3XiZfBNWhKvmFxYxIfA6NRBYvGdcGu66WY+dX0kwM3lBkCmosg8mz9mcwsS7vRcJg9L/uhMYT3jpfwPtW1cm7GF/BYZYOci6NfKeMB3r9RQ6B/vpaS0jjsxfG5W/1YJ7EYHOzdNRh0eEIGbr4xmaj4mIRJpNDO4Xx12rLveBB8Y4D7yMr36iblM7rx4N+7+GeKG8X7hDGyhTHacVNSe5U0gMcm5H7LEZ+BzIhpGUygHjNaejFDwgPe5ywDhm9IkBJkOLt4kCdawbJpbho/HwLgJjQ/EWxkI8PY8gQjPKGEl5Tr2GbJIExJM5avY68b/nVVf7FVFEVRFEVRegJ9sVUURVEURVF6An2xVRRFURRFUXqCy1pjWxuPkRO7qP1Kz0qdylKNBc5fkvqRn3rHkyveY09qQh68DYv/93/5eVFl1c/geWvTqAN6cG6nOCdawvbO3Tws6gx/lwXTD6OF5XUMWEyfI3SBpmD2TCvUHZKaSh48vbIOtW7xJXldrsXjgd6JiDo7G1CevBr1Oqv+s9TdRaaCtVjRcouV8e+NMalH5TqlhTfLceMB4gceY+PIA9MTGYPTC7gGlAfXb0vtWOFJTGbhjhqSTmxB7SvXdHEdNJEMwJ6YkwPnDqFGLjJpyIDCCaEj54ig7VFT/1JwnaC1YzqH6eG8uEEnmsb56bGg+CbdncV12KafJbjml51jz0pd+cIVBbxEQur/GyMr6/fiC/JYY4ytY0Nem+oN66GcPlWWlQKwDclNokvsOv4IFg06107OME4Mrlm1QgTKt9tMU2nYS7mmltfxorK9TosH8TdoHwOkxJ5p+naCta8+X5Ls88MyXIInDAijNRb93TGti+B9UiQz4fuDQWPLEyeY+tdjCQ0srmE3Jakx7RkM/kxc32vUMP/wEluxDkyJbHhf8c8yIhJ7npWTn7/iFENiFY69LHGGJmhQFEVRFEVR3nDoi62iKIqiKIrSE+iLraIoiqIoitIT6IutoiiKoiiK0hNc1uax1HSbIi+LtbmQnoho8xexfOqfyff4b5xGE1d9Lg3lL6euCmzHcEne+8RpNCsM7KhB2W7KtkRYToG6ybDBg5OHCuLP7mUS2/PrBCUUIBLGmXafDETPxeitAralPiKF6LEx7KtsSgr7FxYyUG5eyEH59Htlc8ceT8qD/Lq78ZmSM9i+9HRwv7TycgxWfX0Kyj4PKm/ob6sqk0wIeAB+ZpLgpkAiovKVODdbeTkXU8z4Fa2hC2XNvz8pzpn4o61QduZDGIG4kcKQ8MCvNcQxjpXFdSvMIYbrWg6beyaDZEDQcy8r55TPDXym5caax81CJoNRmLb5aWyPxfqOB50nItr8P9BUeeRDOVHHbuMzxeex7Eq/GSVmWYKGrXKOT78ZOyLOTItrvjojL8yJGxJgmBJnLMNkgImWWcD4qFwXbpwZabphjFYsmUxWmiFNBlm4hm2am1g0GcGCEiVwQxcRkct9PyGMYKGSCb0WdxPPU9CUHeWlg/d1MiQmAVJyAjtTmDGps3O1vDczddnss9Vqy8XfTTNTe9M0V1mCjlZwQhGTIVLWWfnvJrOhMPCF8PK6XhhjGNaJlGQCrU7fD8bW1QQNiqIoiqIoyhsNfbFVFEVRFEVRegJ9sVUURVEURVF6gstaYxsrtynysn6Ua5+IiNwEHotWpQZl29AslF+srYFyZFIGGnbqeJ35q6WOxo6jWGWugZpQLyu1QvUx1Edu+YsQ+jKu5+uG0MaatHlcm1lHvYtJm1faXYByfVh+T+JaLJGQ4RbU0xIRRaPYd62uHNt0DttXX0CdXWJKtqWdC/4eV1+F924zTbAbl0smPYPjP/6taXnv8QKUuWbKmTIkKuDjFCL5hpc1iB0ZThPPqW+T/VvaxHRgLWzL1H07xDmJX+PPMCbqJGdw3LgGsF2QesnMAdafLUOk/zpqSS1ex5TkgScl4bpn0zGPa+gM2mhW9niyE5IB2H32G4Ppur7DhbmmgPwra/HsYkUcm3r3WihH++Wa7FTxGdh2RtSWayt7EudQ6qxcO3x/aOdwjp9/D+rBiYhWPVCEslWuyutyrWMIDagXCQ6Cz9vrR4J1jfUhfO5IyxC0/zV8ErusfUaNJbdg8LJhuvDn9gxLx+a5QsJojdkYmBI0OG2swz0a9VUyQU6E6f9jC1KrKe6zyPT//HOUiPwcTnI3Hvz54btsPxuSa99h48/fU4ikBty0L3LcOP+8CDyFbHYfrqcNC38mvi5ii4Y9m+Gm5TNGqsvOczvi76+G/mKrKIqiKIqi9AT6YqsoiqIoiqL0BPpiqyiKoiiKovQEl7XGdvKWLDnxi5rC9KTUuUZrqPsYeVoKihK3o5YtkUItiNuVurvWEF4nOSk1Mn27StgWJkqymvKczATTtzDdKxERNVhMV64d4zo8Iqm7NdVh+EwXaJekjs1zClg2NLfLQgw2B1mFYyz+KBF5O1H/tK6/KOp0mPDr1BCOk3NSxjZs9uH3OFN71/0jjv/MtXifWFXOs/I6rJOckXrk2EnUifr9eSh3Vw+Ic5wS040uybiwfgaf0y6iPrK1FuOCEsmYz+vfflrUSUWwH5ZaqG1LR6RmamcOY/V+a+Qm2V4bNcBcU5fZh9cgIhl32aSXjARsZW2DPovr6kw6XA6Pu2vAj7LrGH4+4Bo6q8PaZ4h9a3lsDzHoaS0eD5nFsPbrUn84+vAClOffY4gtXcD1n4nJ2NKcE/lhKMcPyjXpJvFe3TSWVz0ix82exvZSVC5ki+kNTXFrxTlsXpli1Ppsi271Bc8HPsctw9hyYbYpvqw8B08y6VyD4tiGgetpiYiiVT4XQ2hsme7SNsSeD76G7Bjen27asLEz7Bp+vnWH5J7dybCxNYyJF2V6ZDaQJs2qSdcs6rBbh9K+cv20aQ/he6fQYMtxjC8E62M95nFy2d5aH5fej2gtePzjy/TSIj74CugvtoqiKIqiKEpPoC+2iqIoiqIoSk+gL7aKoiiKoihKT6AvtoqiKIqiKEpPcFmbxzo5n9zERbFzatokrubKaFnjzH/ZBuVEHzMdGDTx9TYKpW2DL2Xp4VEoX9iIAmwrIwOwl3ZiOXs+L+pkTsh7wXWrdcNRNswmkww/1uGmNPkdKF5mgf5HZZ3mMCrld15xztA+JOFgh87WpbC/2kLxv1dFw0D1JtkPzgk0r7QGpYq/ncfrZs9gP3BDIhFRBXN60NI2GUQ83YeVnAb2ncmEkp9awgNxGcC6uSqH123iMzUHpZGiugrH6dqEDNrfYhHj16axLdwkQUQUt3FOt/OyThrzoVCsiGNduUomdbDYUmln5TwrHEKzpj1fEnUEzHxltQwLmc97nhAjLQ1RwjxmwgswTpgMZ51g14mfQpOGVWUGxJQ0cTTHcH1lPyWvm/+/cN1eW8DyQ3NbxDmbRuegfHxplagTW8C+ypzDObOwS8751ceDk5DwxBp2CfcDLy/XqFPHieam5JrkhhxugPFiwSYfnnTg4oVXvo/RTMaMPtzYZqxjSuLA4AkZuPmNiCi+GGAe9AxGNraWnJq8hpuWZu3l8MQmRHK9mQxz/LyFNw+LOpz0NO4HvmHJ2iwxQbSKcygaC/7tsJuU+0Wkjmu9kwth+GbPHWnIBnOzG8dkAuzkWPKmEJ6/boolNjLc143hM5kSlzitH9y72w3hunsZ/cVWURRFURRF6Qn0xVZRFEVRFEXpCfTFVlEURVEURekJLmuN7bp/qFDEuahdnb8qJ/7ezgS/t3PtUv4MamRMmpR2FruttkaKTpwm0+pGsU4iLYMej34By/HZmqjjJVcOPu3UDBoaHnTZFOg4QL/iG3S5LguC3pZDQH0H8F7HR4ag/O7NB8Q5o3HURy5lZBKHYhc1ctMFqcPlnHoCdYCRupz+LpN4peZxPtRG5DntPuzf+JKoQufu5P3HEj+U5LhFqyNQTkzL+RCtog7M6jLNn2GFt29ETW3SkdrShrvyPFubXBTH/vrwtXjgKpnUY2bvyhqvdX8i2+I0mfYxIfWR9bU4/ummQS/L4Rpbg36Pw9eB1TIEL4+gBtSoa+Rr0JR0gt+bJVYxBVMXsOQs3TVDokri1DyUD//7UVFndSMD5ewAJnq4buCsOOfeF9+E55yUe0h2Ascg/8wklH1TkhquGzUkzbCaOC583Owyao+NeFLv2RnBuRdGU8t1mL5BLukHfBKbNO3iGiH0s2H0kTGmzYyVpR/EWZBrG08KTpJgmvPRmVJgHXEZ/tlkuDfXNedO4/prjEgtd7TINMAG7a5TwTpeDAfSjgdrYyMVuYfYddy/omW8brsg52ZsSSZf4bgZfE6Xt8+gje6mg59BJKrgczFEfgmTDhdsUiG2u++jv9gqiqIoiqIoPYG+2CqKoiiKoig9gb7YKoqiKIqiKD2BvtgqiqIoiqIoPcFlbR5r9yfIe9moYTLJRBoseHJdqo95sPfiRhSep2elqSozyYLr90vRc3ecJWSw8d6WKfMDw2pIUblVR7G6xU1foUwohu8zQecZgorzgNADB6UzYeY6rOOz5BZ/f+hKcc77dr0I5VUGN9amBEb6n4ljMosXy6vFObl3T0F5oWoI0s4e8+wqrBORniki9tjZ83LO9B9FA8b0v2HGBJbkgYjo7AAadsa/K9150QreK1pG00H+mDR5ZD6Dc/zrvyjH4LarDkN5a3oGyq4hYvzVa85D+YXzcgzWDpk6cDmD4khxK5oHZ3/SYLz8OpoiWqtxPoQx1iSPz4ljPAGD1Q42pYVJ0OCzSWPxZWxYb14aN7nIgjQT8gQtcz+5AcpNw16Vnsb+jVRknSv60dT1VGmDqMNJHEeDy6pvz4s6foTNI2Ze4SYwIiJiZjFj0H5u8uP7pBsi2HtKGnT4nmdKBiDge7/JNFXE9rT6cI2aEjTY7BGsrrwuN+Twjx2nFcIwaXpGPgY1ZsYLY8RMSMOWSFxiSmbB4OPvGwyd/CrReew835HmY6fCzFimtvDnjP3wr1RO1ZDsIsDMHVuSY221gue0Q9g3Th0nlmmfdBPB+5nF5qfDEj1wozmRnNNeCL9hWPQXW0VRFEVRFKUn0BdbRVEURVEUpSfQF1tFURRFURSlJ7isNbbLKZyS2rfZq5iGxyCRyZxHjUxyAbUhC7ukviQ1hXVWf890b9Rn1bajjqZ7WOolJ2/BBq6rZkQdp4RaJqG0MeiAuAbJ6siA236S6clMSRwY+RdQ5+r2yUQKmTNYPvbrGLw+UZBBpf/x5G4ov2X9cVFnPF6E8vNFFKnO1qVmKhnFcRovlEWdhRpqautx1C11C8Gar1Ze9l11HPt36+AElCfKfeKcZgPv1U2IKhRfZFqmJC7pbjrEEo9LPdxwHJM4XJ86CeWiJ/XJh6pjUPY92VcnjmGdzX+Nmq/iVvmQ6Smcr4XHpfYxWuMaRXzuWDlYf+anDB3M4RpAR+4PPPi/l5Ht5evLZ+JHnmiDiMhusHXL20IktKM+G4K4QZs382Y8tn3POVHnVHUAyuszqJUuRFDbS0S09mcfhfLXazeLOqu+Po0HOmwvjRjmL0/QYAjIz7XG4hKmsWZ7p12Te1N8EdvTyeFnTDcp177NdKwmewXXNnLPCNfTEhFZbgifBpue/N62QZfLiZYNOmeuE+afO6a5yesYdKQi2UaYJCQhkkFYdRxLrmGPLhrmS4DOlYjIZzpsNx3cFqeBc9yUdMlmSTGsJvPWmHIxhOmHJk8WwjTYhnOSU2xvHZJ7P59HHZYcy6QR53sT90QRETUHfvBM3U4IXfz32xO6pqIoiqIoiqL8GKMvtoqiKIqiKEpPoC+2iqIoiqIoSk9wWWts53fHyIkbYuG9TLuP6dYMISiXdqDQo/8AnmMb5EVeBM/ppKXOrjmMGqM7dx2C8oNze8U5KQwVSZV1UsvS91QRD/A4eiZtUwh8rhXk8ewMei6L6ZRM+qL6CI5PdI5dt2BozH7Uxz7sbBJV1vejxm+qgudk43LgGp1gDdLGvgUoH2xh+5vd4O+CSzvkfNhy8xkot5mIbmFR6qkzm0tYxy2IOqWNqPEafRoneWzRJMZCoimprPrm2R1Qfjq9Dsr5mLzuSydR57zuywa9N9OONoex/fnTMqZjaT3WSS7IOd5N4r3yh4qiDqe+juncDfEvKYNxbP0002YaNIBc+2g35MbjxdlcjHDNraHv+L0Mmjp/oADloW+gNtpbOyLOGTiA5WO/NSzqbBjBdXG8PATlkSRqsomInp/EOMarnmuIOlx36edxHZv0yXYdx8lLyc8Am/UVjz9sio/bHZM6d067gPcSY92R88HpsLjnfYZ9iMeXbXMNqzyFxz42YfGwsLx5YT4uDHpvq8XmdAhPhiDEZ1WoOO3cM2JqC5tn3Gdi9J2s8G7xynksrnyEta+bx/2DiMhl89WpBsdqDqU1fg3w+WuMwc36M74g9/4u++zvpvCcVi7YmxJpXrpn1F9sFUVRFEVRlJ5AX2wVRVEURVGUnkBfbBVFURRFUZSeQF9sFUVRFEVRlJ7gsjaPtQZ8shMXBcf9B+TfOyxGv9OQAubsLZhkYMFBU0TmrBQ0d7J4neIWg+DaR2H8dx6/EspeQYrVrQkUYC9tk987YlU0f6SOzuM1QgSVNonr7frKJiORwIGI/AS21+pIM0D+CCZBKOzD5168ql+cM7+X9bkr27sxg8+dcNDMkI1KE9JcEw1aHo8QTUTPHdwoji0nUpRj7bNDriEe/9FJHLf37XgRyqu2F8U5Ueb82JccF3W6/x2vG63w4N9yiXdSeGz0iwajkocmKb+Lfbfv7bIf8idxnKJlaRaqj2HnOCx4fbNfGmsSRaxTHZP35oay1ii2N34ejXhEROn9U1D2uaGLSBhnLGZ4MZktfGYuNSVNCYLfh0ga73jQeSIiYoHcuxtGA+8V/wTugTsNdYpNNMFUmjiO02WZEKVzAo+dfZe87tij2OfJGZwzzpwcN26ksbmB1gQfg4ghsUYT1057SCac4fOVbyGOK/ffDkuSYnNjGEmTVxi4iVmYC0kactwYrlEvLucmb5+bkSYqfiw6X8UKpjkf4rPJYgZOL4tjYNdCGBCdEL/XcXNhmM9NE/yzlLXFZAyzWKIBbmwkomDzmKl/QxjMfNZesc+8RpNapMY+d/geOCznkMO6xpTYKFb5QftMSR5eDf3FVlEURVEURekJ9MVWURRFURRF6Qn0xVZRFEVRFEXpCS5rje3YI12KRC9qNlt9UjOVPY06j+wFqXdZKmEw8g0/cw7KJyMYZJyIaOd1p6Ecs6VellNpo2bxxNSQqFNfhcPRzUjh1fm3sOd8C2osxx6XGpncC9NQ9rl+h0gGy2Z1LJO2KY26Ox7smYho+uYClNtMitfJy3NG98xA+cKk1OF+49guKN+++SiUT1UGxTmcyWJOHNu1fQLKR5g21u4zJAfo4JjETsig3JlcHcpc3zsUYxo1Ippro050sSYTdvC4104VNZZ2UV6X1mLfeDH5/daNs4QBLGHH5r+R8yE6XcRzDAkE0kwPWR/DdeHGgvWoqTmph0ss4hqMT2BbTNoxP4v9adTLcg0dl8OZEpewtSSSMRDJnxR4EHyTho4HkTcElSeWaKWdDw4yf+woJtaw67IfnBEc72gseM/zVqEG2OvI6557H5bX/0+WAGOAlYkodRQ1wVzrT2QIPB9C52w18PMhNi/P6fSxtW0zfSfXFhKR3eV6zhBaSHYdoVkkkkkbDJflz80TSPiGjwKnyeZv1KB9XMD9zI8Fv0qIJzCMic+0z34cy15E6p55koRQOlGekOg1a2zZM3DtrkFzLZJBmOYm/zwOkwAjzBxn7ROa27ZhXbO1ZNL/i+tkcd/pOybfvRZ2oU7fpDOP1n/wTL4X3qugv9gqiqIoiqIoPYG+2CqKoiiKoig9gb7YKoqiKIqiKD2BvtgqiqIoiqIoPcFlbR6LNroUeVmIHSsbghwz2jlpMug7gaLmzicwoHlqj3z3P/roBignZqWo+f3/6n4ob46jIerJvk3inJNrgw1PL52VZrblFDdJ41K0ika1xOlFUcfL4HlOqQZlk+Fs+hY0dcUqUrRfWY+K8Nh6NDNt7F8S5/jMWBXPyGQLuTQaUy7UC1DuenLcqi0Uq6cTUtDOA9H702he8bqGZAYOPnekLqrQ4jHsq8OZ4MD51Ta2tzYjjRPrnpxc+SLcJEEkDA48uDYRkd3F86Lz+FBGMyEzRZgCxkcnsc+zVTRwFXcXxDmFgxik32TyEkHPuRnEYHjw4mhwMBknrABDhpc2JC5hZbsm5y+5PNEDri8/IdebxQLPc/MbEZFVxnWbOoDzo70BzbJERGu+zg1msq8Wt+Pca1+F67hTCzapJc7KOoMHcJyS53A/MCWh8Nm4mYw1bgLniFPC+erm5T5pt4INcdwBxee4Z5gvTpsn+TAYGfl5rCmmX6B8HlvfsNSlWYglEGjKtjitEEYqvrb5lInIFlsNXAdeWo5BkAGKm1iJ5LowEnBdt08mGLG5Kc102SbuZ1brh0/GYjS28gQidghDHDeyhTGcsXHykgYjJttbfcNs5OMSLeG67eSlCTRSx2fiia9evpn5/wPQX2wVRVEURVGUnuCSv9jec889dN1111E2m6Xh4WF673vfS0ePYigm3/fprrvuovHxcUomk3TbbbfRwYMHL3VTFEVRFEVRlDcQl/zF9qGHHqIPf/jD9OSTT9L9999P3W6X7rzzTqrVfvBPZJ/85CfpU5/6FH3mM5+hZ555hkZHR+mOO+6gSqVyqZujKIqiKIqivEGwfD9MNOPXztzcHA0PD9NDDz1EP/ETP0G+79P4+Dh95CMfod/93d8lIqJWq0UjIyP0iU98gj74wQ8GXrNcLlM+n6dd//pucmIXtRv5M1InyIPMOw2pHauNMS0b7w2D7CM9hQKobkp+P5i6GU+87k3HoDxdk8kBRtNlKO/OSv3kXzx9s2zQMrb+udSNdnKoSasPSf0eD4w/8CK2ZWm3bG99BM+przIEbo5ihyamWADuvfLLzKaheSifXpAJGhIxHO8NBdQNn1oaEOc026gfGs7J5AXnDjPtK9PP+gmpP4vnmBbrSEbUyZ/AcundeO9b1p0S5yy0pIZS1PlD1HunTpdfpeYPcLMsMLZhC4jwZAtM8yWCjBPJIOdcJ2aCad9MWu72qgKUY+elLtukW4TrJg1aWHZvU+BxrqEjFnDdT8jrCgzXFZo/rrE1aAJtk66Z4aeYls10b96URrCW8PSvoLY/cd0ClFfnUQdNRLT/GCZ+2PGHUttPTB9ptdg+bghwz+eI5Rr2HZYcxGqxcTQE5HdH+7Bs0Bvyn4KsTojEGnx9mRIpsCQpXgjdqM+q+AZda9A5JqI1XNuOQYPPsRvBdcLMxc6A9BEsx00F24KSJ+bFMdP6X45VNRgjAvYUIhLrltrYD37CoD1nc9Ok0xeeAa73Nc2zMPstJ0QiCKG7Nb0yBmmjDXNzYc/KY01EZC9btm67SS/e+zEqlUqUy8n3ETgv8Mr/m5RKFze8/v6LLyenT5+m6elpuvPOO1+pE4/H6dZbb6XHH3/ceI1Wq0Xlchn+UxRFURRFUZTl/EhfbH3fp9/+7d+mm2++mXbv3k1ERNPTF9O7joxgqtKRkZFX/sa55557KJ/Pv/LfmjVrjPUURVEURVGUNy4/0hfb3/zN36R9+/bRF7/4RfE3HkbH9/1XDa3z0Y9+lEql0iv/TUxM/EjaqyiKoiiKoly+/Mji2P6bf/Nv6Gtf+xo9/PDDtHr1D/RZo6MXNYzT09M0Njb2yvHZ2VnxK+73icfjFI9LHUp5m0t28qIWxY1LPVT/2wNifBKR9ddjUG4VWDy2mtSTVFdhty3tlnX6X8LrnNy3DcrNAfkS37odNTJtV2pmrtyCL/XHvoPxcCfukJqezDlsn2WQOrX6g+IHymP1K1Hz5y/Je9t9qG1rslh1flmO69kIat1WF6R+LxlBLVOljdrCK4fl2B9ZwhieE7N9ok5iFWpfLQv7znXld8Fuhy2jTTL2ZuQAPufIX2EMxyd2XSnOcW5ALWnnOdnetZPYN3ZJ6oY5XFNr1FgyDaLQMRr0XH6K6RpN2scg7aDhy21slo1JCO2bx7Smpti3No9ba9BdCo0c09BZbaktFHpkQz+Ic9iY2KZzWN94WRkHlD+ns4Aadi9n0G0zvXRzo9Snx4pYXlpAHXm5Ktuy6ls41vM3yBi6EUMc1eWkZqVnwGlge+2qrMMRulyuuSUiu4Q6S7tiiNcZx+u4GVzXdl3OBy/J9gfDVsu1ug4rB64bMktCWUhwcetIPTh2r9UNnr+mtSPawsfAoNOPLq2sI3da8jOGz3E+n1/tXtg4Q+eFiY/LL2OKzcvgc6Yxbog9X8H+jLI4sV5MvrpFWKzmIN0rEUlNrUEHbRcxNrbQwRORO1JgB9h+xr0KRDT4PD7jwhVSN7tcEx5GH/7K/cJXDYfv+/Sbv/mb9Hd/93f04IMP0oYNaG7ZsGEDjY6O0v33/yCBQbvdpoceeohuvPHGS90cRVEURVEU5Q3CJf/F9sMf/jDde++99NWvfpWy2ewrutl8Pk/JZJIsy6KPfOQjdPfdd9OWLVtoy5YtdPfdd1MqlaL3v//9l7o5iqIoiqIoyhuES/5i+9nPfpaIiG677TY4/pd/+Zf0a7/2a0RE9Du/8zvUaDToQx/6EC0tLdH1119P9913H2WzMq2doiiKoiiKooThkr/YhgmLa1kW3XXXXXTXXXdd6tsriqIoiqIob1B+ZOaxfwpSZx1y4hfNEtUNBvH6t8eDLzKIxfQUiqerq6UMOXsO64w8KS9b2ojC7eYwnuPlpZiah/V/8dRaeeEKC+S+CkXxmZNySOevxXunJ6SRJjnDxN7npvAa/4dMOnDHtiOyfYyFFgZh7np476GENDuVOmj8+dXRx0SduS4KzT/+3fdC+Zglxz55HvsmGpNfwtbcNAfl4+fR8DI8JGMoz8zkxTFOeT3Oo/wpvDefH0RE/VFm6tkt+6q+H/s3uxjCPGYKRn4JsJiBxJRsIdCQESLAfRgjDTGzhW0wPFh1NPkZg7jz9rDg6r7J5MUMGNxMZqrDTRy+IVA6N6rZC3IuegO4LnjCBrso54c7hPOXG46IiIZeRGOK5aHhpbhbmnMm34JlqyvXm9XBm8XKWK6sYQkniGj8YWaIS0njsN1kgfIdZugzmNa4yc9PyHHjgfOdMhov/YSc83Y72FglEpVw05fBwOUxI5ttqOPbKxuIHIPZTWC4rs3XjsG8zRGJYAzJN4KSONiGH864UdSYyCTIPGbad0KYPnkdfhU3L5MQCKOgYS7aLewbniykkw/u78iC4bOAG4eD+oVI9p2hr4SBTyQlMYybg+8UJoP6D/P35fzIEzQoiqIoiqIoyj8F+mKrKIqiKIqi9AT6YqsoiqIoiqL0BJe1xjbSInJelm7ER6VusJJCzVz2oAzuzHFaLCC/QXbX5kkGDPKc1BReJ3XjIpR/af2z4pxzrX4of/WsDJRuF1Cbm86gxqu1KPWeTg2/v6QvSO1Q7jRLtrAak2UUDsnvQDMsoHKxJQNN5+Koxbpl4DiURyIy+cKxJibNeLC0U9ThRCoowBm5YkbUsTfgmEwvySgcp+dwDGJJ1KBFbNl3yROGScLg86iTxP70EvK6GwsLeO8+WedYYQeUszxhQJgg3aY6QTpWg2ZKaGoN1xBaR66zM7SFJ5AwalbZeVa9teLfjcdMEe5dpi9jz+Qn5Z5iNXCN+gmDHo63l51j7F92b8sgj7RncJ+hFK5JP25oL0tUEaTLJCLqMulg7mjwR4l3azGwjv9kAcrc80BEVFuLSSYyZ+Xe3xqW2sblJBelPlnMhxD6Q5EsJBL8W5FvXJPsOnGc4yZdOb+31TIkGGHtEefwdWLC0F6x1rkeNUAr+6pwDSjvX9eQjIPpe91+6QexmziWlkmHy5vCtLtWJdibIJNQGHTEbCgT0zVRxeNabdYP8Tl53dYQ0xp35OexXWPjHWKO+90Q64Dt4z5P2GHYU/wIvj9EGisHHrDawYEJXrld6JqKoiiKoiiK8mOMvtgqiqIoiqIoPYG+2CqKoiiKoig9gb7YKoqiKIqiKD2B5YdJFfZjRrlcpnw+Tzt/425y4hcF07Fy8GOUNgdfe2A/Xmdxp3z3bw2hmHr0UVknWltZPD/7ASleXz+Ixo+5mjRAFE/0i2PL8VJSVD7wNArRk0uGtrHuyxxHU5cfDY6OPHddThxbuhnF6tnnUeBe3i6F6Tu2nYfyRLEg6vzCpueh/Jcv3QDlSEz2QzyObpuoI+tUqii4HyhgkOuowTxWbOAzNQ/J9nbT2MHRCorp0xfEKYLYe+bEsVoLzUBrPsb6k4v4yWCcCGP0YIkJjGYsnmTAlPCA0zKYQQIQhhIyGJ54+0zbHDfAGJIicBMHD5RvSqQgCGEo4kHwhanOcG+T8YMnGXD7cA8xmVksN3jv9FiAeB4wvpuW5rELvxZsTPI9lrjku9LwwhnYj2Ybu2FIvtEMSDxgmA/CpNgOnptWkiWQMKwLLxv8TBxusvSjhjnE57xhXThVfCaryY2NBkO1Yc8QMAOn6LswSVRC7CEm05GAPbfJrBk4Hwz3cbM4tpH5iqgTlJjC+LkZYrv1MjgudjV4LraZYdLuyBtFlliilTCvf3yfKcl+4Fg84YjBgGZFcM/orh0WdeDv3SZ977l7qFQqUS4n3zWWo7/YKoqiKIqiKD2BvtgqiqIoiqIoPYG+2CqKoiiKoig9wWWdoMGLElkvS1yaA4YAwEzeEjPE5G5ciZqT2Q349/G/lRqaCz+B3wfqw/L7QTuPx3KnUcvSnpL62XP7MWFA+oJBB3Y7JjzIPco0XoYhjbCkE+ffJq+bO47npc9h57WGMCg6EVFlFZ4Tq8jrpg9g+2qrUfcTyUnt0PX9Z6B8Xb8c27yD47Z2FPXJZydlcotOk2mNM1ID+JZNx6D8nWPboey1pGbK5nreNU1Rh4qomWoPYj/ESsFLcTRpSELyKOqSrAYT64bSsRm+33LdLa9jui47xxgEnev3uMaLa3kN9zImEOB1WOIEk7bUM+kLGXaZPQPX5UaCNWpuamUdHpGhOx2DVjPFgu1zza0B3ldhtI9cp2tqoMMC3kfKcs6P/TXuZ8VNco7zhDidNN5n4IBco24SrzN7tQzIn2A+gsL+oqjDsVhyE8u0LoI01SbtbohxEhPAYmupJa8RxvdA7Jl4chOTRtzygwPyC90lTzhi0sFzXa4pOQC7t2/aDwIwJkVg4xLmuvwZTIkfBCH06hRi2HhCCbEfGO4Tm0Xtecfwme2xvcipGD6r+DlMa0y8TER2nX2O19l1c4a+Y58FpvncGPmBT6PbsYmeW7mtr7QnXDVFURRFURRF+fFGX2wVRVEURVGUnkBfbBVFURRFUZSe4LLW2HbSRN7Lco+IlB+S+yaDqJaReHbleGitrNSyDOzDcttwiW4Sz5t7K2pQYuekvm/gAGpOhn7rlGzP4iCUl65EzczYd+V3leQ86qzyh2V80ewFvHcnjzqa+rCcKq13Y6zbvpyMb7clhXXaHl7nxQurxDlfP79LHONs75+B8pmzQ1BetRo1tybmy1LnfP+hnVDetGYWymdnZRzhTiVYq5kcQ/1Ts47ntPqkvshbhzqlI+dGRZ01+5gWi2v8LlGYar/O4h9GDRo1rt+LG/olKLRtJIQAzRBn04+uHG+WDLpRu8X0h2Fi0rJ7W6aYn/wZTGPANIlejOkPDRpFHmvaFB/XN2mff0iM92Z47N7VTXlRp7B/Ca/blRtllen040Ucp/qInGczN2Gd0Ufl2Maq7Dob8N6Z/dPinFB6bxZfVmhNTfE6Waxmv5AVdYTGNoRW00+GmK8BWlKuKza1xTjHeVvCrFt+DterG9rDdbjGuLsh4Nfhz2SKR+vZIXS4bJgsl7WXzxfTNUxxxPkYmHTDAUSXDPrZ1/B54MVDvCayR7B4fxqe0fewjm/auvxX+f8A9BdbRVEURVEUpSfQF1tFURRFURSlJ9AXW0VRFEVRFKUn0BdbRVEURVEUpSe4rM1jy6lfIYPBW+3gx+Ohhj2m9a6ukYrmiCHuPMcdY4HFqyiUTs7K65Y24M1np8ZEncF8Fcrd831QzkygSYmIqJNDwX19TKqwGyzJRPYsC3Bv0LeP59Ccl47KYOp7s+ehfKKBCQXeuuG4OOdbT10pb8Z4dA7NINdsOwPlF57dHHiNbXvPiWPVNrqbWl2cQzyBAxHRszNroLw4J00yiRiaIrh5rH/vnDjHYs6EpYoMuN1N4ryafQua8YYfxP4nIinkNxo/WDIAbqwymGSIBf83GlMYfpK5yQzmBm7qslxppODHwhigfHYvy2BmkTdipq+UdMO5GWZwCWPYEAH6DXV4kPnXYhQz5etoc0OcwejBEzQw413upDzHSzGDZEHOs1YfXreyQVQR5A/jOLlR2b/xRTRsRRbZvmhKQsETf5jmkMvmNE94EQmeQ1ZTJqURhDBi2lW8jpuTc7FbSOJ17OBECpE5NAGbknpw8xU3yBkTuDBMSRL4fsCD9lshTHUWTw5AJE1+/BzTsTBGNWai5HNeJC4gEkYrIzZ3pfFEK6aEVLyvDIYzdm/evyazGze2muB7htXqrlg2EanI94fMsmNdV/791dBfbBVFURRFUZSeQF9sFUVRFEVRlJ5AX2wVRVEURVGUnuCy1tjGi0TOy5Kc9ENcLUu0uDdYzNLYjYJZ5xxex6SF9Zj0JlaSup++x1ErVLsdtbHFiGxvpITDkXo8I+rMXo/fRba97TSUj2bXi3PW3scChBu+zjgtruHBZ2r1y35YaiZXLBMRnUpi4gSbRVkejWMCByKi37ztfiiXXHndhTb2zWOfvwbKw4ty7Bd+CrN4nJ4fEHU+tPNhKH9pAq/74Ilt4hzLxns5caltqtZwvAsF1PwVq/IZOX1fkQklXCarKxzH+WzS5lke0yqZ9IZcQ8sTMhh0d/IaIYKKh6hjmQTevA7XCnLNn0k/y4KIm7R5PPC8l8NxclOG6/Jg5aZcC1zPGUKHa9LVcUz3WvG+ROTF8ZhNBj1cgMavmwkOZp+eknrD5ALOo3YO+9tphugXwxBEZnBfEUkGDP1AIkGHYd7xQ3zedYJ15cY6PCA/W7d+Uq5joT81aKMFTBPq1Awa0DCJSoj3J54TJmGD6ZlqGzB5hdPAZ4rU5X4RXcR93U/Jz1axtvl8MGlwQ3SD1cCx9FhiIz8mJ6fdCOE98Nh6E+vP0L98fzBsrWLOhNh3uK65m5bPFJ03ZMhafg2D34Jrt62aIfFOYtkHXAh99ffRX2wVRVEURVGUnkBfbBVFURRFUZSeQF9sFUVRFEVRlJ5AX2wVRVEURVGUnuDyNo+VfHJiry4oTp1nwYevk0albUOzUN5nY4B7ryiD4rtM897OB5s6knEUT7eihmDaAyyIf0caMtwufhc59uR6vEa/FMHX/k/23PuHRJ0YqxKtYr/aBo/B/Kl+KO/cIxMeHFjCJBNLdTTf/NzGF8Q5GQeF/v/10bfJOidw6t76q89BudyV/bs0sQ7K9+z9iqiTsHAM/mT7vVB+prFenHO6hf15pDIi6uSj+Ew1NokO/MN2cQ6nlZdz3WZ6+9jZeSg3t8q2JE5iMgiRJIGIrAYzmHGTgcn0xQ1lhiQOfgbXkzD18OQRpnuZAo8HYTLIsWN+iAQNdg37xWoZTBHMMGIKcM79cNzU5ZNhX+NB7w0/SwTZK4xJHdjYenHZDxbvP57jo2gIns7a5yblfhZjQdkjVbx3da00VdpdbG/qgiEgP4ebbwxjHTjniYi4GZObYkymnhBGKmFC4+MUJqj/a8Cqyb4Lk9xEmgmDfyPzMjiWnX5p8opWcG07ddxDnJqcZ8aEDEFw86DBMGeXmCktI+ciT4IgEoGY1luI5BXc1MVNX14yeK9y2nL/FUkb+HMbhtGLMsNhy5AgJ0QyHnEO29dNhsPliT8sN0Rik5fRX2wVRVEURVGUnkBfbBVFURRFUZSeQF9sFUVRFEVRlJ7gstbYxiouRaKvrrdrvK8SeI1SG3Uz64YXody5XepykxHUk8xWZSKF0vk8lDekUa9TKkntrl/D4eiuM2iHWOBmJgmlWF5qkG4dOwHlr5RkoP9OFY81B4J1QL/11m9B2TYE0t8Sm4bynJuD8t9OXyvOWZ0qQjl/UE7T0lWot9m3OA7l6edGxTl/9HOfh7Jn+F5nB4jZopbULSVsHIS9+fOizpdP713xuvnbpsWxpcfwGZpDckyyZ1GLtXTT6hXvQ0RUH8G+CpH/QIg3ozV5UnwR5170lHwmoVsMkUjBz+P6sso1WYcHZWdaXasiz+G9aQrszrWYYQKac+yWnDOtQdx3eGIFpyH3Na51M2khA9tnWtYssLtvCoQuNIkhdIKsfdEFOQZcP22lUO+dOyH7Yf4qDOJfWSX3s74TqIVNTOL+2xyV+2+kifeKzVRFHa6P7I7gPh+ZK8tTmixBTl5+Xohzqthe2zB/PcLntgwR+f0Ezl8hlR/C/ZjI/AyifWxshQbbgM36IVIL1h478/gZbryPSZcvbs61pGGyLwQnUREJGNja4f1vqmPCS62c8KSbDJEAI4TumSf1sJtyr4pU2fw1XLc7gHM6wsYtlK7YMLaw/4a4xvfRX2wVRVEURVGUnkBfbBVFURRFUZSeQF9sFUVRFEVRlJ7gstbYltdFyDHEXPw+DheuGai0ZAzPIM7P9EH52o1nRZ3JOOpSwtwnM4qaruqs1I594PonobzhujlRh3OyOQzlaEzqaOprmViX9d2dVxwU5xyooVbzlwaeEnW47jbq4b3/j/FHxDmTHezfh966SdSJd1hcPx/1N1tvPCPO+XePvF8c46waR431v990H5QHIlJ393QF2/f07FpRJxpB/Vs+gfrp2YrU3TW3YJ3oOTmH4iWmUWQyu/pQsBarkzVod8/jhew2zgc3Ic+JlILjSYpYoVzrZtLQdXDO+FmpjwyMZRldWbNGREatnojPyHVeltx/eKxbE04bx9JisVn9SHg9GZwXoH3l97l4UvA+ya9rM22eMfYpv65BI9cdRL1sNxs8TkPPSN8Dp1NAvXR1I66vdlb+plMbw3vbHUOc1Ro+0+gDs6KOgGkSuX6WiMgdZFrXBJZ5TFUiIrvWgLKXM/g2Inhvn+mpjbpnrnPvyM+L1wS7jrNg0DAzvAJ+BtpFg1beFFOb4adiK1cw6TtjOB88QxxmDteommJYi2DTplC3AZplpyVPcuM//O+UIl5uXLaX65z5mBAZYl+zfd03aJr53sr7++LBH97TQKS/2CqKoiiKoig9gr7YKoqiKIqiKD2BvtgqiqIoiqIoPYG+2CqKoiiKoig9wWVtHovdtkDOywG9S/sGZIWDaEKKlaTgmllDKHvbDJSrD4yIcwbnUdB8KCOTAdS48SuGYvBsvxTBb+6fh/K7tj8o6nzh/PVQzo9JUwHnTB375pe2PCfq/PdHboVy8jyKyNe9CU1VJtq+FJ43PTRgnG6hkS3jSNPPUAQDhP/nPX8n6rxUXwflv3jwLVCeHUFjBRFR4Tk0EFQ2SoH+DXtPQ/mxyhYovzlzUp6TwwQYxU5S1Dm8gM9dbWNbRrMymUitjgaj1J4lUSf1FWaiYyL+meuk0L+1Fs1Nzrw0VqSnca10Usw8xBcOEXksGLm3Ua4LnqzAruD4m4wgfhLb181KE12UGRF4UHyjCSHiBNfhxxw8x3KDjSsm7NbK53UNAdotFtjdmFgjwGvBzUNERHYbLxRkQDPVMSWG4MHf/WiIgPx1ZjAy9BO/jtU2mJvYI3RS+BvO3PXyuqlzOH9twxDlzuC9attwb41WTQHucW7aVbnn2XWcr8JkGSY4vSmBAB9Ldp3OoDStCkOZ4d4+/0ksTMIDZs704wZDF7sMH1ujSZGZ3YyJCYISSBjOsYssOYQn99L2MPafmwx+pbI6zHhpSNjgsz5f2i6NgZy+Y8xMGA2RoKEevH9xI5tdlp+tlMbPeYsbfhNyrP0k28dNc3z5vv5DGMn0F1tFURRFURSlJ9AXW0VRFEVRFKUn0BdbRVEURVEUpSe4rDW2q7JFiqYvajciV0mtSKuDj1csSo3M8CDqOfk56bfKANzNb6Fesu9/SJ1S680sQPFq1FlVZuU5N2/GBAf766tFnav7J6BcdWUQcU4hhpqY0/VBUWftFtQWX6iNQblj0M9yprt5cYxrarclpqBs0uVWXNSoLnZlX51u4DPwxATepNS5rvt51Mf+4ujTos7GGI73M42NUP7dr35AnOMlUYN0x5v2iTpDadStpSKoqXvhGGqGiYj6hpnG6x/7RR03hXq98nqcD5E9Mph95wwGxc+fEFWo2Yd6p8RigEaNiEpb8brpqbao0+pHXVWSafM6OanFih/AOV/bsVHWyaAmNb6A/eLMFmWDmV5P6BqJiJgOMMQyCAVPZsF1o6bA7t0kHnOaUugcIieNPMekW+R1mF7WrjNNs0Fr7DM9Mhn0vU5l5WQWXKtHRNQZwv3ANlw3dgHnff8Czg+nUxDnzO/Ffog05XWXtuN1ohU8Z+QA7qNERK11qMON1eW64PpBHqzeTwQnBzBpmMPopQUhEjL4CZZghJ9j0vtyHWbXsKdwrTHTd/pcF29sXLBWPkxSB67BN+0PdodpX0OsJa5z7+Tk2M5ch/uOY5gynMUIfuYNPl+WlZiOlXscwmBak05x5WQbxr2VtcU4tsvrhNGZv4z+YqsoiqIoiqL0BPpiqyiKoiiKovQE+mKrKIqiKIqi9AT6YqsoiqIoiqL0BJbv/xBRb39MKJfLlM/n6Zcf/CWKZS6KrBdaMoDxRBkTNCyc6RN1br7mMJQv1AqB9z+zfxzKuRPy+0FxDwqs06fRlFbbGkIN3pLXvWbPKShnoyjKfnf/S+Kcf//wz0PZrkjPoDNqCLq8jIGCFIe/b82LUN4Ym1vxGkREAw5eZ9bNijo5GwXtWVu27Z8//i+hnHoRhfPVrdJYEynic//cHY+JOn97+Goo37bpOJRH4lKQn2DZCp4vrhF1usx1NBTHfnjygjSPWc9IMx5n4ADOs04a50xpY/B31/pGQ7YFRmwW+y5WNAT6Z54C2zDF+w/jfHXj2D6nJQ0lsUUcfx68nIjImWXJK3jAeJMxgW99IcwJ3NTDg84br8tNVIb2eCk0i1gdgxkrwp7pNWzdxuDqrK/8qMFTzO5tz2DCFr9jmEOFHNZJycQa/N5WnZlMDIHzPRbs3c1Iw6HN+o8Hzu+k5TPGKsHroLImzsrYvpjMs0Kp2WDjZfYknihMPaYkCSEMZW6a9RVLohKpykXq1PAYT7xiao9pvnLsEhpojfOM3yaMyYuvA1MyhiATXVACByLzHsLwMsGJFLwMN6QakkOwRDbFbdJAzXHY9M0dKspKAR8HVkPOh9c0BtwYZnhGcd2A/bfrteg7Zz5DpVKJcrncinX1F1tFURRFURSlJ9AXW0VRFEVRFKUn0BdbRVEURVEUpSe4rBM0PHRsK9nJi0Gff+/6b4q/f8PfA+W9110QdZ6fXbXiPSpVGeh/295zUD6zRgbOtxsswLaNXW05Uh93xYbzK7aFiOgc1w0vMu3NFnnOxvWYdODsi+Oijn+WaYPWohYv7kidjUP4DBUvRLIIB3VWXHNLRNTxsa8qnhyDaAw1SPVVqJGKLMqp7a9B3VrGkUGjr19/BspcU/uv+58Q5xxp45jcnD4m6hxrj0L5vvmdUB4vSO3u2TzqiOJLUoPUyeB308pqpoU0xFq3bkI96tvGzok6D5/ZBOWRtfNQnl6S2mjPRQ1a6nk5bqWNTA/J5XFx+YyWh+ekZ6QeTqZeQYICiL8qPLB7i2nQwgSzT8t+4DphrlG02vK69hLTGqcM6y0oQDzXHhOR1cR1YNUNQdu5RjHC9jPDdXnfWItSv+eO4tppbMG91GnKsY5PMSEr1x4T0eKulTWJfUdq4ljkAuqGyaABTSaHoFxeh/eOL8n2RisuqyP3HZ5cwU8yzbUhmYEfC/749qNMwxxCl801tUYNcwPH1o8z7e6sTAzDMQX6lzcK/u3NTzLtdtuQuISvC66NN+lnue6Wr30iIqa5t2sre1VMdYxaY7Y/9D+Pc8aPB+ur7WpdHBMeAb6/mbTGr8WGxfWyJo14CI318nv7P8TvsPqLraIoiqIoitIT6IutoiiKoiiK0hPoi62iKIqiKIrSE1zWGtv46Tg58Yv6mud2yjig1/adhfJ3preLOjeNnYbyvkXU3NafHRTnnD6Kir7MWalBiadRU9IYxjr9j0jd0r7yeiiPbJkXdXYNTEP5sDUC5SVDPF/Xw+8vnkGe4zBpzVs3H4Vy1JLamya70Pm21BpflToD5ZcaOE67ExPinDNt7PPTrSFRp7WIusVIG/v7J29/XpzTcLG9WUdqCbs+9tXa+AKUH2/IGLVDEdTHHmxJ3fazbGz5OJ2elPOMVqGuKr4gNZXtLD53tIbzbO0vYtxjIqKrCtjnj89vFHU2DePci9moE0wOBcf8nPLXimMLN6FOzS7yySjXks/06K0+qYdrsbiGsSqfr1JzGaljnVhRaugiZZwjVolpdQ1xbEVMV4Pmj0YG8LpcU2vStbF4uFZFaujIZVr4BNMfmq4bJk4lf0z+3AYtpB9n8ToNcVe7XL/JNdcJw28vvL2GZ0rOYx27i3W8uJxDfg73dashtbCxIh4rnMDrZE9L7W6ngGNgN0NoS11sr5s1xABmeFGDTpSPG+tON234MAghqeSa4MgM09SGiQtrgmu52TwLEyeW0nKftBaYh4Frak3rIkw8aq7dbTMtbJj2mmDPbTVxD7Fahj3FFFM7qA7Tvrp9QW4FImdJznGx7/C+M+lpw8yR5e0NEWf8++gvtoqiKIqiKEpPoC+2iqIoiqIoSk+gL7aKoiiKoihKT6AvtoqiKIqiKEpPYPn+a4m++/pSLpcpn8/Trz/0sxTLvHqg4t1pTMhwqC4TExwpjYhjyzl2YLU4Fi0zM5b0gZE3hqaTwftQ0O4bdOjzV6OY+sZrj4o6Z8po0BpMopC70ZX9UetgA2eL0kizc2wGytM1DMCfjkljzebcHJS3pWZEnTNNNMn840FMmpHJy4DW9Rr2lWXJKZr7HprHmgPBwvLWHjTbuGU5cH/01r+BMjeGPVyVBkTObFsmL+iyAb/v2A4oR6LSUNJaYAa5ipw0o0/inKkP4dxcusIg0M+g8WDL6llRJcoSclyRx7V0RUqa/h4ub5P3YsRYxghu6MtFpKHvfz13LR4wJDcpPM+SOExh+yOGQP9dZkzqJuQcijbwXtmjRShbRZYsgIj8ljQdcawczhGfm2ZM53AzkynoOTOuWTE2xw33EUHbTSYN9jFRvgINnfnnpsQpbh8+Y2tEGmnsNo5LbTzKyvK3F48tg77j0vwWqeF1F3fidRPzcg7lT+Je5DSkQafLTFyxGTb+pgQZ3KhkMhMG4BsMUW4yOEi/76w8r3xDcgueDMJktBPnsOeOTSzJOibDUxAOts8dkHsrx67Lzyqryj5n+DoIkQgiTKICvpYskzGTXcc3JYfghDFOhTGPMdxBtkYHpEnRbgVfNz6L7yFWne1VccNLEsNLyTrWsjXYdVv04KE/pFKpRDlmFuboL7aKoiiKoihKT6AvtoqiKIqiKEpPoC+2iqIoiqIoSk9wWSdoiFguRa2L7+YNg9D1z0/dBOXRjNTDrUphYOknL2ACgS27UFtIRLQ+i0H7z1ZlYoKjxzBIv8skUpG61OsMP4U6mvpeqaGK2Kh3GUpgwPiROAtETUQOS67wV+duFHUya1ET058M1v1ckTkPZc+X35O2pTChxHMjmOBg+tCwOCe2BvU6zYrU/SxeyzSpXey72IIhALuLde55y9+KOh2mhS26qAv81uROcQ7nZ9fI5BAtlswinkAdWKMiNXQUYUHlo3LOLG7H9roJrJOYlv3QHMR+6K6S4xYl1IZtTeI4lj3U/xIR3Z4/BOVvLe0RdfZmzkH5OwuoNTYlArlp13Eoe77Um710Aq+TnMM6rZzsB5ZzwpDUgShzGNc618e546ghJyKyy1I3LqhhHYvr7FpSJ+gzDV39apmUJjFtSNqwDC8ht/xOLlhj2+zH9vGlXtu1slfh4knyEE/A4DFNaDsnT2qPoVazvlbO31UP4LEOiztf3SDHuroW1/r6L0nPgMV0gLVNfVBOnyqKc4Q206SX5MeYtpQnRAhNgDbTpMG12NZqd4M1llb3Ell1uP40jfuMMy21u6Eum8TPECtEcgCfjcEPkyBgRdh1wrSlsdmQwIdflo2B3Q6ReIWNf3xOehyMSTz4vRu4X1kdnERCx09yThv3zWVaaIsngVgB/cVWURRFURRF6Qn0xVZRFEVRFEXpCfTFVlEURVEURekJ9MVWURRFURRF6Qkua/PY4dIoRboXReFztXRAbaK5uqxzbAYDjXseiqlNCQ++e2oLlOPPyoQHtBnF0xbTPS9cKYXo7ggauGQ6CaLZMt5rsS5NPEHYNWlEODSP5o/1hcXA63CjlbEOM029YxwNRt+NyMQEd44chvJ9MztEnbMvoDmPe47G3zwpznnf+ItQnuvKIM/jUTQndHxcIreNopGJiOibE9i+/RWZ1ONIEU1y6/rxPkfr0nyTPoSGh/qoNBnYLOZ5g9WxW/K7a2IVGg6HklVRZ3Mak29wEx3vJyIil3BO3144JOocbuKsviKH5syljgzif2VuHsp/e/ZqUacx7rIy/n3DV+Q88yLYXqct+7e9Kg9lN4b92eqTW2g7jWs0f0YawRIH0cjq9WOgdHtJtsXiAdgNXpbiLhbAnnl6sudk8ohoGSdRu88QTJ1dp7we+yHSNJiHQviJbG464h6qpnzI/qdwT2n1yTpTN2NfXcOS3cw15J5deQEnTXWHNAY6LWxvtIrzqpuX+7HDEwaYjGAuM02x5Avua0iSQETkRVf+7cpkHuMJGWLzKxsSiYisDq4/U1v8LK5tq2YyWbL28GQWIQL9mzAmSliOIUFDcz2awhOT0nwu7lOX5itOdxj3FKcq1yRPVhBbxOvWV8l9kr9jUErOGYubX+P43Mkpw2dMEy8cPb8g6nD8OM5fk/nRarM9mZv1iMhfNi4+hTdQ6i+2iqIoiqIoSk/wI3+xveeee8iyLPrIRz7yyjHf9+muu+6i8fFxSiaTdNttt9HBgwd/1E1RFEVRFEVRepgf6YvtM888Q5/73OfoiiuugOOf/OQn6VOf+hR95jOfoWeeeYZGR0fpjjvuoEol+Kd+RVEURVEURTHxI9PYVqtV+sAHPkB/9md/Rn/wB3/wynHf9+nTn/40fexjH6P3ve99RET0+c9/nkZGRujee++lD37wg6HvYVk+WdZFzUi1LoP4c2I5qbPxXBYI+xxqVzIjqO8jIuosoS63u1tqZJx51Jhw/Utsk0yk0DyH+rgDMamyTafwXh0XdSepuNTzRR28ub9e3jufRA3PnjxqVKdbUo8625bHOOsT2H9Nprl9y/AxcQ7X7kYMQfuj61EX2j2Fmrmzh8bEOZWRIys3loiKNo5/wUF92d+fwi9pRERbB2eh/Ni5DfLCh3FsuUrpqrfKfqD1WDy5KIN0R/dhgHi7zRM2yMtaszhuT++RurXhnfglc2tiCsrn21J/yHW3USH6kscqrIF9UannK3VxTGKOvO7IJpxnMzMFKJ/+FXEK5Z9lOray1AVGazj3Jm/Fv48+Jq8bL+M5s1fJvWnNeZwP3Rz2Q7Qu9xSuL4w0ZD+kpvHeToetHcNPGXPXoPcgVpL9sMCmPdfqTd8gtZrDz2C5NmbQ0LHTeJ6dwQNSG91JcZ2zvPd7bnkWyntSmEzmgUWp2z9zI+7r9dNyXcgcNLifJeTHBSWWUHfb/4TU//NEBG6M6QkNyQF8phE3SZqFpjIW4rcsdis/Jl8TnIWAH6F4Ugoi8iMsGcdg8OcH1+76hlwGFtfhmq7DplF1p0wMxEmdx8+YpStlIiZOYom116CDbxVwbJ221MsGYbum/g0+rzaIlTKT2DGNUfmBkT7HPBhRw42Y/l9omjsGjTOf04ZEFdayOnwur8SP7BfbD3/4w/Sud72L3va2t8Hx06dP0/T0NN15552vHIvH43TrrbfS448/brxWq9WicrkM/ymKoiiKoijKcn4kv9j+zd/8DT3//PP0zDPPiL9NT19MzTkygi7wkZEROnv2rPF699xzD3384x+/9A1VFEVRFEVReoZL/ovtxMQE/bt/9+/oC1/4AiUShn8HfRmL/Qzt+7449n0++tGPUqlUeuW/iYmJS9pmRVEURVEU5fLnkv9i+9xzz9Hs7Cxdc801rxxzXZcefvhh+sxnPkNHj16MJzg9PU1jYz/QQc7Ozopfcb9PPB6neFzq1CrtOEWiF4/vXX1B/J0zmpAShvOZApT3XdgE5SMTo+IcK81i1M4Ha7F4Of+3LN4kEbXeg7o677zU3tTWoM4knURN7fwpqQNy6sHfXyYc1Dv94zbs7zW5kjin7eH0GY5L3dXJJmqZ3pQ+BeW0LbWEPB7qVevOiDqf6L4Dym9/x9NQPlCR+uSvT+6C8jWD8gtS1cXnHoyivui68XPinJkGi0FqSy2QxcIbWtdhf27PzohzpposhupDcmxba7DMhoQcQ1jF+mrUO0WiUv+UcXBcYkwba4phPNlBve9gRK63DGtQysb5yzW3RLIfup6cz6WncJ5FduC4RV+ScUtL2/CZTOvEHUX9Xr6AGuD2S/jMRERdpgEtnDToy1jMxsYIzjsvLsc6cQznSGNnQdZZxL1paQv2Z6wq52b5zRhP9D079os6lQ5e59GzG6G8Y1TO35fS66CcPiP7N8Ik1c034bjFH5PzrLQB9aiOtBXQV5/BWMfndxWg/I7BA+KcO2/CyDzujbK9fN4fqGHM6m8e3SnOcV9gGtuWbDD/ScdhcT+9hPyo9mys49uG2OgsJq3VNYhUGbEirn27ZIhj664cF9YrGGK7M41kmLZwHWZ7OFiP2k0Hxzt1Y3jdVl6OdTeFn4nxUkAsXCJq5Zk/pCWfMXea7SH54Ni8iQu4LmqbpT65Phj83LEKjkE7i+dkJmRsYS/BYvn3y7G1G7hP8ni+VkN+zvspttdHDO1frtUNmHPQntA1Q3L77bfT/v376cUXX3zlv2uvvZY+8IEP0IsvvkgbN26k0dFRuv/++185p91u00MPPUQ33njjpW6OoiiKoiiK8gbhkv9im81maffu3XAsnU7TwMDAK8c/8pGP0N13301btmyhLVu20N13302pVIre//73X+rmKIqiKIqiKG8QXpeUur/zO79DjUaDPvShD9HS0hJdf/31dN9991E2K/95XlEURVEURVHC8E/yYvu9730PypZl0V133UV33XXXP8XtFUVRFEVRlDcAr8svtpeK6wbPUTxzUdiciUhx8vEqGkrmWwbRs4Vian8UrxOZkGaW5DQKz3PnpKi5tBGF0FVm8rEMkZszT6LJoLRLBid3i9ieYomZ6uIGQX4DpdTrrzkvqhT/Gk0Q3jb8+2RVitV3syQOx6rBQa8TdnAw7ZeK2Jb5RlrUmTyOwdT/8gU0+cW3SuNSrYj925eQQvkduWm8dwfnzMMnNotzrBkcg4EX5dgu7sF5dtUw3udEDZ+HiGihic/d6pPGH6eF9+rkcPy9mGyLw+aD60qp/XOLa6Gcj2BfmcxjPPnCfFfOmRQzCx6o41inDev4aBHn1WJJzocIm/bWcVmHM7IZo+lfNSgNqGVmmhqJ47z66u0yYUf2MTS4VMdlXyUWWVKECgvs7shxq+9kRlZDFJmpN+Nc5EHb6115ztu2YuKSuC33HYclztg1hgk78jHpUiwcwJtnz8vrXrgN595QDu+z+DsGU8/jSXGMs+5ruFae76IpOHWNNHBtSGHaFG50JJJmx/F4ESsYYshXNrHnjkVFHZ8dE4kJkvIcjyU8sLzgAPampB4cYeqyDYk1TEH6l9EelCav2FyNXcRgsuXPzZJDtPqCX1mcdnA/tHL4TOlpOTdjSzjWviG5RZQ9E3/q+ro8cbopHMvU0VlRx0+unHAqfcKQ4CkvjaycaH1lw16kKD8TeeIEqyP7ymNGMG4etE0JZ3gSBwPL55lvv47mMUVRFEVRFEV5PdAXW0VRFEVRFKUn0BdbRVEURVEUpSe4rDW2Ly2tokj7ohbl6n4ZbL/LsyIYSEVQRzM8gNqVzBjq8IiITk8PQrk1IHW4FpOyNEdRlxIpSt2d5TL9GxcOElF8kmmxWCD65rzUn3lR1Byd2rdK1BluYp36g/iMt/wyJkAgkskMbu0/JupwvjZ1ZWCdLbk5KB+Zkdrdn7rxOShPN1HP6Rk0zM83Ueh86v4Nos7CzaiSmj6PgfIzx6TWrcu6fGFviMDjjJNLg+JYtYH9m5iXz1TeiZrl9BBqFP1npcar1c90uDW5DRw7MQblE5OoAf7lK+R8KLnYEa5h/S0SaktPVQegzDXORETXDmFSjDPJAVHnpRqOrRXDZ3QdqbsrVnGsN6yZE3XGc0VxbDmrrpB/r+/GgOv/+InbRJ3KahxbLh9r9hk0tjgkZLcNAfn34H6wYQh1o6Yx6Xq4F43FiqLO/gpqoWMONvilWZkQJVbGPp94p0n7iNcZz2DikvOVgjijuxefsV2VAe6t57E8+Cw+95ktcg6tTS5hW6JFUedYE3XO35lCM0LhEflZUFmPZT9h0E96bL5mmVbaoLnmmlpTgganxSaWQdcqYBpbL7Wy3tOEbUi+0O3D/aG4UfYV18cmiiyZTFNet7wG9y8vas5gupzRJ2UyIdGW2SI7ID+z3b6VtfyJOalZtc+yZCYGzbXQsTJNc/F6ud46WXxupynHuptc+Z3IpAlOH0ENsElfzdvrswQjZJibXD9twl+m7/bt4AQUr9wudE1FURRFURRF+TFGX2wVRVEURVGUnkBfbBVFURRFUZSeQF9sFUVRFEVRlJ7gsjaPdVyHfPeioPjJufXi75vy0vjFiTPXxgIL/r54UhqXPBYEP33VgqhTraMw3u6g8Dl9SHZ9h+vQDYaX7NV4rwgzcUzPGcxjORR25/ZLs8XcVXgvdwBNdV99aa84Z9t6DNJ+pDQi6rxndB+U/8Xqx6D8TFUauCYaGGj6F7Y9L+ocreK98lEU6T94gmWYIKLEPjQL5U5LI0JzAcc7xUw8piQJnX4cg77xkqhz8/gpcWw5p0maWdwufu9sDhoCmifw3rVZnESpa2RbvBozpZ2UJg4vwu+F83XttXLO86QN+5ihi4joTBXNeB1mXDpYYg4pIhpOotGDGz6JiCzWXr+O7TWF9v7EW78M5QGnKuoUPRlofjnrYnKPeaG+DsqxqpxnkQYem7sC16RjiGfeWsWSA6xaFHUSEVzrvH/HUjKw+9W5s1Aeisg6f7N4rWzQMpYmpelk3Ty2ZXSNbG8mhs90egnXQasj98nxfpzTi09IM2wnwwL9s59wSt+S8+xrt+I6+OvpG0QdzratmNQj+4vnRJ30/4Ptm7tRJmMZehLnkV3HfrG4GYeIPBf7xpRAwHPYsRDeMT8ewqTDkoN4cWxLs19+xnBq49JQlGTLqZPB6/YflGasgRIaaJ1GcBIgu1QPrCMSoLTkvuNcMCQ0WIZvSkLBzYOR8Kao71M4sCSO2TsKeFlDMobUcblvB8L7IUR7RaINg/GOG8y82MrX9boyMcSrob/YKoqiKIqiKD2BvtgqiqIoiqIoPYG+2CqKoiiKoig9wWWtsR1JVyiavihG+/ervi3+/o/lvVAudqRezmaZFN687gyUH21uEedsX4fa0hPTUjPF8aoYhLk+JrU3eZbfIFaRgbEXrsPz8gWmFYoZkgOwW1WubooqloWVrlmPCS+Ozkut8Zl51EtGDAklpvoLUH6sthnKpiQa1xXOQPlYbVTU6Xp43mPnN0LZn5S60QjrqsZg8Pe6+iapq+KsWYO6pSv6J2WdBOoLzzYwIUPXlW0p5LDBc6NSt5Y6gs/ZyeE42iel9jEywPTUSYPwbh3e+51bD0L5hSrqSImIkg721UhMajXdNOq1xuOolyx35bhxyjwjBhElszinY30mVS1rC2Fb2r7UeK2P4Ng+1sD5e7Am9Z3ffHEPlMdjUks4+QuoF/N4QPuiIWh7Ddv35qEzos4o68+8gxrAtG0Q7/JrRKQu+5Pb/xc2z2V7qdwm6f/M/TyUB74g98nTV2F5+7Wo9004Ui/54gQmi7DeJPWSiQWcI81+HIOIQRpZnM5COT4r58PoUzhu9qmVNdhERKk0ti9zzDAGLMC9ZeN+4KblR7UfYXuGYeu3vZWTxViu/LvPdLl2W64lvlS8KJ4TX5LjtrQVP8/Sk3LfiTZWFgFHivKzi2MZdK0+14naIX7T85mm06QtDepffl8iIq4VNVyXj4EYp7bs39xLMsGMgN3LarHrBDwPEZHVNHwmsvOMz83wW6wt6ZX3ft9Vja2iKIqiKIryBkNfbBVFURRFUZSeQF9sFUVRFEVRlJ7gstbYHpsfJqd+Ubfz7dwe8fe3ZVEXeF95t6jz3WkUh/3C2uegfHBA6jtPzKA+8pYNJ0Wdh06hFq9/VRHKS22M1UpE5DPdj2PQGzlR1LKk4qh36Q4Ex+fzfal/GclhrNDxJOrszscL4pxsDrVixYbUPu4roQax0UXt4AiLUUpEVHdRi7XQkjq2qVoOyomvYzlumNkt1uWpKdm/XL4ZSQXrem4exvGP2lKTNtFEPXIhiuO0oU/GF3zh8Ho84Mpx869BHWuHaQvtTVKTFn0BtYTNnQbBIYuhm2GBVWe62N9ERC0PO92kaX9P/wtQfqG+Hu8TCdaAmrhqDOOJHprHOMdbB6T+bLGbgXLR4oGkiSoe9uf2OOqnPYNG3N6L8+q51atFHfcCTsYdm/C6M33YNiKiVTkc6+NVqXvfmcLrnG6hrnUwKtcb19QeaY2LOpx7J94E5d9Y95Co47ZRQ9cYMsRZZfvZfB3HYG1Oxut0W8FxNIssjLXNZIG3/9LT4pxzNRyT46ekcJhrNd0s6gK5NpKIyKmxOW3SdwZoEk26UasVvDdxHa7dZBrhdohrGNrmZuVev5yFXcFa+dy54HizYnlxXTER+Q62z6TS5XFVvTzuTUJrSkRWI8ReFGNaeK6FNfSdnwiO8WvSPv8wfyci8m3DvWO4Rwu9bIjrBs3VizfyVy4TkdVhx6qGz6Fl/WupxlZRFEVRFEV5o6EvtoqiKIqiKEpPoC+2iqIoiqIoSk+gL7aKoiiKoihKT2D5vkHV+2NOuVymfD5Pq//kLrKTry5S//Nb/xLK987dEHjtZ6bXQHl1XgYrz0RRVF5uyzaMpdDosW9uDMqL5wvinOSFYC+fc00RyvkkmoPGM7K9PLkCN5yFYfawDK7+y7c/AuWSIXD+iQqetzEzD+WkIQD7bAvNTYOxqqjz7MJaKC/9A5rUrBAaeFfmv6DqBmb8Yoatn7r5WXFOrWu4EGNDEp87aqMQfr6Dz0xEdLaOhrMDM2OiTvcAmrhaoyzQe1wa2XhSj9I5QxKHIYOQfxkf2CH7YbKF11loSTPWhjSa5K5Jn4HyA8Wd4pwLdbzujty0qPMcmw/lJo7JcEbOoa25WSjnItJol2dZPaIW9ueji2gSJSKKMfPgQlP2Q7mN7cvH8d5vH0HjK5F5jnC2JjB5TMIONugkLKzzW1//56JO4RAzjLCiF5GGEo/5aso7ZVvi07jndbL4cTS8XZr+Wl/D/Ywbw4iI2PKi4jtqUN45NiPOOfrAJiivflAacSNVdjMe0N6w73gp7AinZFhbBtPZcvyoNMxxQ1QYU4+XxLbYDTkm3Czmx+W9PebO5aa5TlZ+lpU2MuPwE/KzSrSFJ4t4DYa5MNe1DG9BdrHGDgRf16qzPcT0esUNZyYCzFd+NITv33Rvh42li3PI8i7R62CY18oQdfxlCSW6boseOPVfqFQqUS4nzcvL0V9sFUVRFEVRlJ5AX2wVRVEURVGUnkBfbBVFURRFUZSe4LJO0ECW/4o4xo5KcdO/fgK1Yr+x9+HAS27dhNqrkajUAbV97LY/+spPizrNa1HrlmW61sWI1Je0dzJN15RBP3yKaSpXYVu2FKQm7V3rUK/3ncltok6ljvdqTaIu0CTfenQONWnFhmxvs416ogTT1L5t4LA456fyz0P5mcZGUafVh8/d/RUct289caU4JzmF+qLWgJwzP3MjBm5fbGM/rE+gVpaIaKmLdbgOk4jIY6LEqhscwPyp/ajfjC4ZAtMzudbmTag/nSpJLVI0gu3zU7K9XIP4EwPHoTzfkQkEeBKHXFpqVjclUNeadVBv+IHBJ8Q5ZzqYEOVsa1DU2TtwHsqTDdTldj35Hf7qzFkoz3WlhrXDkk6UPAzs3vbkFjpbx+uszcokA2szeOz2wiEou4bfHHgiBRMHGpgMwmFi88GI1Br/yf98F5QHzhiCqQfI4UqbZYXWMM6rxPlgbaFvMy2hIZlM5RacMwPfkGvJYVLYzSO4btueXEtMTk2Tt8gEIyPP4XhHqiGSDERZ4p2avDfXhYrECmWpy7W6ct0GYXNdY0dqVv0MeiW4npaIyE3isXYey/VBOX8TCzgXu9lgb0JsBhOK+FwjSkRWm41BCA2rxXTw3bz0h7Q2DUDZaQX3d3QR723Vg5M8hBlHL8fmYgi9rwmun7ZZggbfMB84YXS4pkQl8kJsbZueabmGPUxiiO9fKnRNRVEURVEURfkxRl9sFUVRFEVRlJ5AX2wVRVEURVGUnkBfbBVFURRFUZSe4PI2jy1jzbA0aEwcGoXy1yf3BF7nLSPHoPxsZYOoc6KC5pXOoBRcX3hBBtMH+uU5keMoEHeTUqQdX0AB9fU3nYIyTzBBRFRZlGYxQZt9x4mj0D81zIJVE9FsBQ1EEVuasXIpNBClIsHJIY60xqFc6koTx0AU27Mhjqak7wxvFec0cijs/5WrnhR18szMxA1RprakWIT4vojsK4+ZYBa72HfnWpiMgYjotr1orHvivt2iTnwRr3viKM67SFmaLeqjrL1DFVHn9sEj4thydqUurPh3IrPJq+Kh0ed4C9foRFP2w+kamjj+5fgjok7Wxnk2NIBOoLPdPnHOn0/dAmWTEWw9SygR5u+NRAzKI/GyqDPXxvHnpq+1cXndFst4kLKlMYWbxeIW7jN1D9tGROTtREPZUkomlIiVcJ5F2ZTJn5B7VX0PM6qNiCrUPoAmv8HN+NyOYU/xZnAOcUMMkTShHT6D6yJ5QhqXMvN4TnG7bK/VxTpOHY1LpuQAVhXHyXcMJhhm6rKbLNFK07BvciOYqR/iOGd4ggbLlPiBJZ1wavLe/FhpYwGvYfAXRZp4MLooE2CItrSYMSxiyoCBx4SZLAQRU99F0FBWH5FrpzbCxxvnZv8R2XfRMrbPMSTJ4PBkHG7K8OrGTF3drGxvtIzt8TLMeNmV/WtX8TPRlCyEj4GflPeW12XmYoOJDkxoP0QuMf3FVlEURVEURekJ9MVWURRFURRF6Qn0xVZRFEVRFEXpCS5rjW0y2yLnZcnjaFrq2LbcgMkKuM6RiOjpqbVQvn8KhVUb8zIg/4US6sIiRdmNfsBXhtQpGUTaZ9IVpynb2xhDLcuhJRSuVWZl4PzYLAumPSL1vdE86sCSSdTivHn8jDjnycn1UC5XZJDrn7viBShzjd++mtQEH1pC3WXJkPiB4z+A2kynYKjEtITVrtTZ1V1sX9zGvkrYUg81GJEaVY5HOLhRdt2dmUlxzj9cuALKPOA9EVF8Cce2bz/epz4q51C3hZNzaV4mJvh/mz8hji3nfVteEsf2pjHhwebEtKgz4OAYPFvH5BtcO01EdOPoCSg3DTrR7VFcp/0s2PeAsyjO+fervg1ll2Rf8eQgXAM81cS9gIjoY6u+AeWOYTOIMi3sI3VMxlFy5VpyyGd1pN778Xls70IN69Qacs77J1FTO3aNHLeFKl4nnUbdXaMt97PRNGooZypyb7K343zgCRmm52T/8n3RMmjvpt6CayV+Dp87e06eU1uF180fk3WcBtO+Mv2hOywTolg2D4ov9xB7ke0hTPPp5Q19V+PaR/k5xIP/O0u4vkpXSeFzakomVuFwje3Q00Uodwtyz66uwjForJb7Did5Dsv8mYkMz+0ZdLgMryB15Jx2Dq9bXi/XcXNgZd1ntCbXRWqOJexoyf2MJ4OIVLC/LYMWlifSsA0JJYz67uX3mZcJXPwUjmU3J8fWZu2xl+R1xHXZuiDL8NL0Q+hq4f6v6SxFURRFURRF+TFDX2wVRVEURVGUnkBfbBVFURRFUZSe4LLW2N69++8plb2oKXy+vl78/YFZjN+6p0/qGG9fi3FredzSUzUZi7M6j/qcZEnqVjq5lbUh7YL8e2oKrxMryToW0+uNXIValtRGqd863cIYjlZTfp/ZvQ37ZraO+qcDizIubyaBffWWNcdFnfMtjB863cDrpiKyvTOPYhzbeFFUofgS9g2PvVg4LvVF0e+i/vTZ/LWizjvv+S6UO0z43PSkZspl3w8TliHuo7Wy7qvpy+teN4ia1amXRkUdj+my/RTOITdh0AlmUCf47/Y+KOr86dGbX7WtRES35w6KYwVb6t+C+N0BnDNLroxtOemurAsjIppjmtQFNh8WXalRfKC8E8qbErOizt4EivyuTp6B8pm23B+OtFG3mDX0y6Yoxt22WeBPHpeXiKjgBMf95OSTeJ2OK2NQRnej/pi3hYjoylHcH9IsHnXDlfP3TJnp3g3XrSyhXs/t4lryDBpFbwDnbzchP8YKo0yzypaOf1rGNXZYlzs/Oyfq+HfjPPKyqD2OFA0a0Bi2z6SP9Nl1OgP4GWOK+VrfOoTXdWX/dtM43u0s9q8t7RZkd5hesh4ihi7Djct51srhOk7Oy2skzhZXvK4Rg7ZYwLTGVtvw4IzqGD5DxLD84kwLXV+D1/Ud2Q+1UTyWOyM/A3ls5k4O9clOM7j9YerYLIYu19MSEVklfMeIVmVH+Gncf91+XCd2XT6j1WRxuE1zCvrPED/3VdBfbBVFURRFUZSeQF9sFUVRFEVRlJ5AX2wVRVEURVGUnkBfbBVFURRFUZSe4LI2j12XKFEucfHdPGFJ49JbNx6C8uP1LaLOu7P7ofxMExM23HcBEzYQEcVyKHpurJHmlugSd/WIKoLkvMfK0gCVmcLy/pENUI6vkYGRI7Xg7y9DCTzv7UNoDtpXlYkUOE/OrBfH+pMoNF+TRtPMfc/tEeckWV+lp2Q/1Iexf9PT2HfdtHzmbhoDYdf/eVHUmW2juY0nDBiJykQgnIpnCq6P7ev4uPSqrhTtz7VRgO8mpemkOciekxVjm2R7/+W2J6B8rtUv6uwdvSCOLcf0jGlmmsvbLVEna+MzHGYmjiFHLhR+jsEjQ00L58iZDpq6NkWlEegDfU9C+VhnWNQ5woyXQywZR447jogoYaFRwpTUY5olV/jCueuh/J5V++R1DdfhXD9wBspf/cItUE7Oyc5rvLcEZZ7UgYhoUw4TYERt7G+TeSwXx76ZPD4k6sRHVjbEZY/Jj6jEIj5Dq0/uv/EItq/yNN47VZN7iuXi4on++YCoEyljX3FjmG8H77WmOrVNmNjBi+AzNUZkYo1YiZno0tJc003ivfr2FQPbJ2gZzGMBhi2eYICIKFrHOZI4b9hLedB+RulqaaDNnMU92mR28xN47/ra4OQQcWbejlXkM3GKdT4fgj/4vZhhzjCjJTf0uUnZ/06dJQ/pyPa6KZkMIginyJ7BNRih2TGewMOPyGf00/iZZ2ovGMoMCbZeDf3FVlEURVEURekJ9MVWURRFURRF6Qn0xVZRFEVRFEXpCS5rje2XKpsp+bJW8e3pw+LvFRZM/2dzUrd2qI06qprHAiHbUk/SnUQNmtOV2o9IFY8FxOcnIqJ4CTUm0bJB28TYcRUGle968rvK0bzUzHFuyJ2E8v+avgbKC43ga1w5KHWZ+xYw2cL859dBOTsg+657A2qvprdJ/V7iEGo8a6vxuZPT8rrJBRyETFz273AMNZQj0ZKow3FZ0gwySIG4hrbEEgocrWJQfyKi5x7FBCOpJXnh2nqmq0rgHFrXj5pm070X22lR5+rcOXFsOcdbsr3HCY+NRGTfXRFfWbt7qCO1hFyfXDBod4ccHMuih7q7qGEBzrn43CeaUr+3M4nt7Xekhp1zqo1aXVNihaiF4/abGzBJxl9MoDaWiGhtBsdyiM1VIqK/+4eb8JzHsR9Ov1eu4wzb47YNykQVj5zZCOWto6hZnq3JBBjlGs755KTUgLbr8rzlZM/LcStuxvVmlN7dh5raCJtW5Q2yLYUTuHaaebmXxvux/2KzwfOBmN7Q6pq0mqixtbv+imUiIqeJ14nP1kQdtnTIagfrtHn7fMfw+5fH2sMSokQn5dof4Mdicl8Xt0njwGXOybXEky2Y9JzdLF4nvohjUl0jPQ4N5l/gZSKiLltOg/uxf+22nL9eNPj3RIv1b6QS/C7Az5m9viDqtFmSjNX3s0QxCwbdM0sWYUykEJCww2iMCMHyBBe+JmhQFEVRFEVR3mjoi62iKIqiKIrSE+iLraIoiqIoitIT6IutoiiKoiiK0hNc1uaxhNWhxMuBjJ9rrRJ/50HZuVGMiGjIkQaM5eTjMgD7dCo4ULNfRWF8+hwTgzelmLrZh+JoLyoF7ZyFCgaaftvqY6JOcZ0Mps/5x7kroDySwH6JGMw3u/OTUP7rF94kL9xl351uYmanhvxuZZ9FQ0l8nTRorHkbGlxOP4aJNcq7pUki9w28V/uvpAFq/v88A2VuHrO5G4OIbNY3xxqrRZ3BKPbnMEv0MNwnRfvb3j4D5f/5lVtFndgCzpn2CLZlV55l9CCi6RYaVdIRacZ6urQeylflJkQdzoVWAcpOQs7xM4aEBstp+9IgMMzW6ERXzueCjaYSngBjwZBQ4kK3D8o3Z46KOhUP12CTGVLrvjS7nW1hcohPHLtG1GkuYHt4QhenJR1R03txrVfP5EUdbseZ+R00nUSfk0bB1rOYoOPokkzYkWBx3Y9jPglql2Q/RLN47+7uhqhjncf+jTODZGW17Id2DudVXubmITeO5xVO4b7jtOQ6bgzinOlkDGbNMewIuxW8t0aKODdNNhq7g0fn9uJIWoaPnL7juJ9lqtJgZDVwvflxbL/lygsLsxg3ihERsTpWB/uXm8lM+BFDQol+OT+XYzJ55Y/g3smNYiZclhShvF5+DsVKwYanoZfYczMTlWW4hMfmpmlsbWYMdNM4HyJluWc7S2ge7D8abM6zS8xwaBgT4mNrwEsHv6tweEIGU+ISa9k8skLMqe+jv9gqiqIoiqIoPYG+2CqKoiiKoig9gb7YKoqiKIqiKD3BZa2xdckm9+V388crW8TfD0dQd7suPi/qcM3klxeuhfINA6fFOWMp1PTsmxsTdZzVKK4pRVB3t+ohqQHt5HA4Gv3ye0djiOm+Hsfr/v1eqXVJJ1GP05eSWrfTRdTVvXUVCtf2ZM+Lcx6c3w7lbJ8Mnl2vr6x38qJS0xNNo1Zs58j0itcgIsrsXYBy57uDok6zgGOS/EV53dM11GGvjS/idQ0aUM6G+Jw4xrWaUSasanlSD5V3cJyihtjZTf6YLs6PLz8udc97rzgFZdsgBNuVQ23uRBPnR7krx3UkjlrY8ahMDpG15dwLgutum77sK36MJ1Lg/U8kk7EUXZm8wGH6aZOmlvP5F98M5YEBqRHPrMY1WcqjVtM6KLWGzQMFKCdqUgOanmRz/GnU5S5tle3lFHdLTV20yOb9aWyfE5FzqNvAZ0qvlRO4NorP0LSxf33DdXk+lOIOUYWiZbxu8Tpcb0PDsi2dLj5j/VCfqFO7ATWr3rdwzmQnpPbRYwJlyxDMvpvEh+peiXMm8qJMZJGYw33STcdEHYdrPpv4ueNl5Hz2YsGvBTbTR9pch2lK6sAD/ZuuW+cJDvC6+arsXzeFz+00Q2hCo3hOclaOSeZCcDILkTgjRB4CuxVcqZvAuRit4jPxZyYicmbRDxI7JT+HhIaW61oNmmtxjiu1rs483tsdKUDZ6hr0sSyRhtWS/e0vez/wrfC/w+ovtoqiKIqiKEpPoC+2iqIoiqIoSk+gL7aKoiiKoihKT3BZa2zLbpLa7qs/QsqRehzOoovapfFEEcqbExhLlEjGJE06Uhvy/BzGMm0PoXbFi8vvFO00HquPSk1S382oC71mMDi+6H2nUAvrevLelTLq4VZtRH0k14QSEZ36xkYot/qldog/gRfFOqt3yf49f2wYykefCRYGJm9FPVHiTqmf3V6YFcc4J8soWj3ZHILykzPrA69xy+jJwDrROPanYxBn8Zip6TtkX7Wew74i1r9bNl8Q59Q6qKu7ok/WOVrFGL9ZFuu26Uqda8qRcTQ5FRZPdjyC82y6K2OzcqKW1NAlLKYdZEJMHteWiGhtFHXZ5zoyznWM3StlYz9MdqQO81f2PgXlL98r4w9f98/24wGmlX78xG5xjr+JxUM16HAr61kc2HX43LZBNtjJ4pxxanJ/6ORwviZm8bqeIfxofBx1orWSjPkamZJaweV0DX/2s2z8E3I+tIa5dhD7Zf6EHGuniXXiJbn/eodQUxutY79YppivjPoaqZdd2IU6Rvsg1omhhJGIiNoFtj+ckpWsOosbzbWwOTkmNtNDunHpK3AjeG83gbGxnVZwrHdTrFu7xHwaTJdrGbYYx8U+91Jyb4ow/anD5KeWJz0Z4sPLAB9vn7fXoKe26/jcvh1Ce8w0zc5iTVYyxaDlcJ0z19Sa5m+Y+LExFneZx6iNBP+G6pt0w4s/2ENsL/h97pW6oWsqiqIoiqIoyo8x+mKrKIqiKIqi9AT6YqsoiqIoiqL0BPpiqyiKoiiKovQEl7V5bKaVo3j0omh5sS2Dq/NjjxyRSRyohYLrG/ZgYoI3paURaA0znZiC9u+zx6G8eQsGvD/5Dvw7EVHuGAq7ozKuO82X0FTwYB2NVbVZ6eLYthXNQWcX+kWddBZNBp956TYom4L4e4NMOG8Ipm538JnSG1HEP56Rhofp2iiU2zlDkPbNKJ73mig83zIok3Fwk9/B4qioM5xCY2CNJSLYM4DjSET04hwmAvnHk9L4E42iaaPBElfcsAGTJhAR5Zhh6z2rDog6C8M43n/30tVQvlCSZqxmU5orOHv7MSHHhUYBr2Ewj5W6aEQxGQ658YubN2MhzjElaHiysQnKa6KLok4QA45ccH9w+J1QHszgvOsajJjnn8O1nXhzUdRJBxjthq6TRsELE2h46g5JU4cfxWN9+1lyi35pVEnO4LGEoeu6KZa8gOWkMZnSmlVck7GUrNSN41gm5rE/k9Oyvc0hPCc1KU0nLbbF8aQOrU3MVEVE29bh2k4YTMH7H8LPEKeJe1M7Z0gesg6Tg6RmpdnNTeB14kv43LGqwVzah2PirMqKOvEZfHC7jOYsu2ZIeMCTNhgSK3hR1qGsimcwnHF/bKQu+9cyBP8PxMdncAxmJz8tTXJwX4PJKzqLa903JBPi8CQZXsxwDuurMIZDmyWdsLgJkIh8U1IMfmt+L5GgwZDcIhb8eeEz45oxIQNvCzOYUVfu/X70B6+ovil5xKugv9gqiqIoiqIoPYG+2CqKoiiKoig9gb7YKoqiKIqiKD3BZa2xnWrlKRp59QDfTx3Y9Kp/ewUmBTk8j4Hpn0hLXe69L10H5U2r50Sd28eOQrnusnbukE2ZGscg1+4+qY9MPYKaxOKVqFO6brfUBD/7HD5D9rT8PlPeitqa+BxODYPEltwcdp6XlhqYG3ajZvnKHCaUeKG0VpwT21rG63pS45VOoEZxqYx66iMzLHEBEc3lUI/acaX+aaGG523uR63uaBI1uEREP712H5S/eu4KUef6kbNQHorhdY7XZHufnVsD5beONUSdxQ4+07b1qBMsNqW2jMvJhpJSW9ryWGB/C8e6EGOB1IloexLvveDKQPRppoeb60pdIKfg4L22xGTyjdEIarVrHq63XfHJwPscbEnde+tpFGueGixAOXNWrqWf/MBzUI4bBKjl7sqav2Jd/n1wDJ+x3pLaN+tp3DP4bYZeMmjoGK0PSZFtwsbxrxRxbK3jhgwNLClCuyb36v4jTN+7FKyjK2/HCWx35MdY5hwL2s9u3U0zHSkRbduNuuZcROpw6zfhhYr7cf/qJuRe5bJbLW6T4xbDLY9clOVSqyCvO/5tTDhj0l1Sgz1DEi/cHpFrlOtnwyUQCNZU+hG8DteNXqwTIskAw8vgJDclaOimV37VCdV+rkclom5ezqPlWK4haVEITa04p419Zewng05YVGFjydvnJwzvU1HWdyF00FyPzNtPREJT6yfkuLVGfzA/u90m0YnAWxOR/mKrKIqiKIqi9Aj6YqsoiqIoiqL0BPpiqyiKoiiKovQE+mKrKIqiKIqi9ASXtXlstp6hiHVRvH1hQRqtdm07L45xVqWKUI4yk8xfP3+9OCeSQCF0pSUF5C6LCF7uomj/un40ExERffEcmtISogZRE2O0k1PEIZyuoQGNiGjDLjTOTK+Whp3Uc9h/9U1ozrKcYGH6r131hDg208b2vFRGQ1TTlVNw94hMgsDxfBTBbyhg0oxnT64T5zh5fAbX4Ii7fuwclHekg9vCmZ+Sc/FUGgdu3RCa0sYSMlHFTBzHKWpLY02DJUrYnkcDzPCgNLu9WF4N5VXJoqjDkyuULDRoDMfldeeZEczmEdmJqGrjrB6PLkF5oiOThxRdNAbOuXKOP1PdAOUGcwsdaUhjGOfLx/aKY50R7IfIMBr4brr5WOB1W57BzML2h7kmmniuHkOTJRHRsxfQqBSNyPnQugbHxT+K113cIdebyC/zsDQy0ptwfto2W0ubpLGRmuxeLfk7ytIuvI7F1rVvm8w3WKeblHW4+SqKsfapOyQNfVXm8orY0iRz4Wvroez0471bfdJoZTPfTHW7TM6RzKHJK/0NXEuFY7J/fW7qMRmK4isH13eNiRSYocjgHeNmK7sVbPqLLrFnMAXkT61sxiKDGctLsn4wmKhii9IIGISXZH1nMI/xZ+JJBzyDSdFNMGNuKzjZQjeP+2+kZJgPrH1W25A1hcONbI5hPvA6hoQdxE1pzCxm6geOyWAWn/nBwnVcmUzk1dBfbBVFURRFUZSe4EfyYnvhwgX65V/+ZRoYGKBUKkV79+6l5577QQgc3/fprrvuovHxcUomk3TbbbfRwYMHfxRNURRFURRFUd4gXPIX26WlJbrpppsoGo3SN7/5TTp06BD98R//MRUKhVfqfPKTn6RPfepT9JnPfIaeeeYZGh0dpTvuuIMqFfnPm4qiKIqiKIoShkuusf3EJz5Ba9asob/8y7985dj69etf+X/f9+nTn/40fexjH6P3ve99RET0+c9/nkZGRujee++lD37wg6Hvde7CINkvB5x24lKvw4PT3zZ6XNTZEMfkCp8+8lasYNCFvf+aZ6D8lszhwLb+99mboXymMyDq9A1goPzk2JKos1jBQOhbB1FbatKFjSTwC8Ops1JDl2LldB9qeLJJqVHakMNA7tsSUo/aYQK+JybXQ7lWl9qb5JP4jOUdUntjdZgWL4njH5uW2rLzZXzu+KhMMuD143UfXcQkH+NJFkndQHRBLqtVV6BGscpEgClH6u7GUngO170SSR1rnAn6so4ct1v6MMo1HyMioibThW5PY1KEvggTLRKRw7KdrIkuiDpNf2XN309m5L/cfKe6E8pPVDeLOnvSqKf/+GM/hRU6ch2vWo8656G8TFQxc5ol9SjjfH3onEwCs2sE+2quIYPgx5heuu3hGBybHhLnxOMsSLuoQURH8F4OWye1PQatIdOsxlJyLrbmcIdwqthez/BJYuWZxq8TrD/1YkzfadD2p87jzTLng/X/szdgf29dJ5N8ZBzU8E01pZa7sh7neLSCz5Tbi3OKiCiXwD5vzEodufMU3itewvY2RuQ+mZvD+Wq15Li5g/IZ4O9xOSaRBtM9G3StNg/sH8H1FalIPaTHtKV8DycisppsznC9r0GD69TxHKtl0JaaklcE0FlVCKxjxVZOKME1t0RmTS3Hd1ZOiuEZtNOWh3PTj6281xKR1GWbki/wBB2mvuSPyfTfdk3OB57EwcRy3a3lhh/DS/6L7de+9jW69tpr6ed+7udoeHiYrrrqKvqzP/uzV/5++vRpmp6epjvvvPOVY/F4nG699VZ6/PHHjddstVpULpfhP0VRFEVRFEVZziV/sT116hR99rOfpS1bttC3v/1t+o3f+A36t//239Jf/dVfERHR9PTFb8ojI5i6dmRk5JW/ce655x7K5/Ov/LdmzRpjPUVRFEVRFOWNyyV/sfU8j66++mq6++676aqrrqIPfvCD9Ou//uv02c9+FupZLGSE7/vi2Pf56Ec/SqVS6ZX/JiZkKBxFURRFURTljc0l19iOjY3Rzp2oiduxYwd9+ctfJiKi0dFRIrr4y+3Y2NgrdWZnZ8WvuN8nHo9TPC61NUMPR8l5WUey9C6pL9o7cAHKxQ5XkhJ9s7Ibyu7zBSgnDK/+j86hrm4wIrV5P5tFreAnVn0Dyr974Z3inGtGUCd4vCR1dqv7i1C+dRB1w9+Z3S7OOVNFTVduQOojiR2rHylAuTaIemUiomYbNTxbMjJW6Bf3XyvvtYzUfnldjw31+r+XGq/zb0F9jst0gmQKtdfCg/bzMp7vC/FVUK4ewr57MSs1SH1rUQud3SW1pS/NY9+0+rH9qxNFcQ4/NhyVEpz5BItT2kZNqEljOxhBzfVQRF73bHsQynUWF7bexjIR0e1szk93ZTzfAUeuleXsb60Sx7jOudaRe8FXF/ZAOTqLc5NrN4mIpg+g5voDdzwi6jwZxX3l2OlRKJu+i1+o4nMvVeW+06isHNcxMif7tzqEbYkYfAXdNVjHmcfr2DPyvn6UxWJtSO1b5jR+VLRzeI6XDda5+km5drw8PoNfw/sMvCDb4rRYDN3gEJk08BxeZ2JyrahzbP2oOMb59bd8F8qnG7hOTLGmkzaOycas3B8eOncFlEtM977quzLOtZfBB3cMcUs9pgHlMVS7hg+4dgaPpWaC46FaXRbXti4/j2XjDHOGaT59vsA8gwaU8xr0tGTQozo1fG6uIyYi8gzHAJOOlD8317ASkSHEOmK4r1XngvUQfcU0tYFxhMn40RqIiAlswG7KcfNSP9i/PIPW+1WvFbpmSG666SY6evQoHDt27BitW3cxYP6GDRtodHSU7r///lf+3m636aGHHqIbb7zxUjdHURRFURRFeYNwyX+x/a3f+i268cYb6e6776af//mfp6effpo+97nP0ec+9zkiuihB+MhHPkJ33303bdmyhbZs2UJ33303pVIpev/733+pm6MoiqIoiqK8QbjkL7bXXXcdfeUrX6GPfvSj9Pu///u0YcMG+vSnP00f+MAHXqnzO7/zO9RoNOhDH/oQLS0t0fXXX0/33XcfZbPyn4YVRVEURVEUJQyX/MWWiOjd7343vfvd737Vv1uWRXfddRfdddddP4rbK4qiKIqiKG9AfiQvtv9UzL3ZJfv7gfmLCfH3bz94NZT/7bu/IeqMx4tQPnQlMxDskwGubabsPt/uE3WKHsqXW8wM8Nuj9xMnzgLw/3nkZlGnxQLnTzTR3PSBVU+Jc+a6+Et4Z0gO+7NFNFO80I+mpKExaV6o1LHPv/DdW0QdbthKzDEDl/Ra0PDzmBzi7Nvl2DpNFhj9FP59abdBOM9U7/Elgxj9G9if3Z3MFNEnA013XRzbiCMfqtPFOkMxNFHxOWWCJ3UgkkHlJxtoXOokpHmh4+P4mxI/bI7PQPnJqkxEwHm2vhHKgwZT2h+cxS+8+Ria2/a9uEGcE6nhwLkJ2VdeBp/hp+/EJCqljjQp5qM4zw6Wx0SdRhfXW24QTZZ9KbwGEdHZ08z06RrMIYZjy+GB/4mIoiU0dnjSX0aUxL5JTQVbPfga9eLSeuHztbOIB5yWvE+DGZMS/dLI6DHTZ6eC/b14pVzH/S/idW1TPP40bx/2y/q3nhHn7Mpjgpl8RI5tlGWU8FjHPHIe1wAR0WAG58y5aZmgITWP1+k/ivexq3Lf4UYrLy3nuJtc+SM+WpP920kHW2+4scqpMbOYHXwNPyrnjB9jgf0bbHANnxdkMM0JmAnNy8m+Em1hpi5eJiJyDIanSwI3zfkhzJnMqCbMZKbbdFmHtkM8T4ix5e0V42hguVHslfOWmRBtN8Q4f79u6JqKoiiKoiiK8mOMvtgqiqIoiqIoPYG+2CqKoiiKoig9wWWtsY33N8hJXdRyuF35jm73o36IB5knImoxvWFjFoOp/+x7nxDnvKfwApSbngw+/H+dfw+Ur8mfE3U4P5V9CcpJR2pKfjK/f8VrTHal3vcBlrTh6BEZBD9aRH3OyN45KDu21GLxPjdINcnZgFrSaha1TanzcgpO3I5a0uS01DZVNmJ72gX8+5uuxsQVRERPHUP9ZmM4OBh1di3qRMvzaVGnynSCiaQMTn7j6jNQzkVQb3imMSDOuTqLc6bkSl3Y5gRqYR0L+2VDHMeRiKjCrpO1pZaQsyq+FFiH679LruyrXQVMm/2th66Csumb9ug1eM6FuYKos3lsHsp9kTqUTTriDtO9Z6NSx3jBY5plppWemJXrzYrjGKQOG5IicOkzk9D5hp05d5atQYPszmmvrMVLTclnbIwErwPfwTleXsc8BH0GTTvTn7Ym5XzwEzgukX6DlpSRP42dt7hDtr8tAuxgW+ZqGV6B8gO4DjKG5CZ1lg2i5uJnSqMu23L2HPo0RqQNgjITeO/oPO6bflxOCJ4UwUsbRNcB0szEvHzGxCzTR7ak7tJqsuQFCfYZGEITaoSdJ3SjLYPOkp1jGRI/8PlrV/C5RfuJiNiUdioGjTjThfIxMcKzrpqSPAT0n2XS9rLLmJ6Jj5vANbSfa4tNdTgOawzX8hKRn2R915F1MEFDiPu+jP5iqyiKoiiKovQE+mKrKIqiKIqi9AT6YqsoiqIoiqL0BPpiqyiKoiiKovQElu+/VpX360e5XKZ8Pk/vu/9XKfqyYP4qgzmLB7Q/35BGj2en10CZB8rfMzwpznniNAbhjkSl6Pl393wbyuuj86IOZ9ZFx8P5tjQUfW3yihWvcfPwSXHs3hffBGUrIkXYq4aKUJ44z+7dkt+BLGaaii3IZADdNN7LzWFfWR153d27z0L58JMyaL/JqBZEZvcilFfnZdKJgxMYpD+ZQiPYW9ceE+ccKw9DOeFIYf87h9H0d6g+DuXppkwEsiaJhq1r0mdEnQSLTn+hg3O81EUzJBFRlpli8k5N1NkUmxXHlrO/uUYcq3i43o5UZcKDC3U0Y7k+jn86Io13q1NFKN+QO7Fi24iIii4+9+HauKhzro59ZRucNvtOr4ay38b2RpakqYflzKDCUcMWy/wYPIFAJyXXReE4GuJEEHcTYQK7c6OHgfooGj3aWZuVZVu4p9aUSIHXaV+Hpqn+v5fzt7we7x2Ty5hqa/G5eUKXD7zvQXFOysa5x82FRNJQxuscq7MEPwZe/OO9gXXyh4pQtivS4OnHsPO8jDSuuczc5MWCxzp+jhlFTXMoivOem7qMcypM0gZmkrNc7qoM8bpiqhOQ8MBkSvOjwd560efso9VyDR9UYRIccBMaN5iZTGohLmsyaP3QGMx5HN53Vkvu63wOBdF1W/TAkT+mUqlEuZz8vFyO/mKrKIqiKIqi9AT6YqsoiqIoiqL0BPpiqyiKoiiKovQEl7XGdtNffZSc1EVd30f3fFPU4/rD//vk20SdVBTrnHsOkxd4q2RQ5v4CahLTMakf+Y11D0H5cBM1fj+VwyQPJqZdqSN5rLIVyt8+v13U4azJoQhtriEDpU/PofaxwJ6x60q9Gdcjp+OyH0oN1F1uG0Tt5vGFIXFOjQU5tw3JIbot1OdEpvCc/itkYoLhNOr3TJrKqwoTUP6fJ64SdTg/u/lFKP/dX98q6rTzeK8NN6Am/F0jB8Q5Nku24Pnyeyivw7Wk4/GiOOdtWbzXREdquTk88UOZ6deJiB4q4lz87rGtog6VUBcYZ7rsblKOyYffjWubayFN3De/E8ptT+q5Fhqo31woy3XRnsY6Tp1pbOtSW9p3DPvK7shnYkuHInU8J1o2PGMYTS0nzPb+GrS6Pgva7ibk/tAcNAS9Z5Q2Yn/6PBb8FbhmiYi6bbxX30NyLnZTKz9T9zYpzL1+HLX9YwlZh+vTP/fizVD2mgbdIBuC/mdlnf5DqKGNFPE+VscQkD+C/cCTBRARuXGsEymz63INKxERuxfX8l48j2k1+RwKEZDfRGACARMhNOKm9gAGvafPn8mUSCFAC8sTQxgxyWW5Ztl079dw3deClwpex3a9w8rsvcmkNQ6h1V0+x7tei75z5jOqsVUURVEURVHeOOiLraIoiqIoitIT6IutoiiKoiiK0hP8cIHEfsy4ac0pimUu6nZGI1IP9e3SHigvFDOizvQS03OOozZkdFBed0NuURwLYjCCWrEzncHAc766sFcc4zrL28aDY3p+5fHroDy8aUHUicRQA9Pu4tTIJFhwTiLalMfrXJ2TsYSP1kegPNVALW/WcN2+FOrNzk31izoDA9ifXj+WY47U9By6EBxjkrNndArKZ8syFvL/eOHNUM4aZGLddTivCnF8xseKm8Q5b8qfgXLeqYs6XEd+vIya5WtXnRbnPN9YD+Ut8WlR50wbr/PA4g4oxw2xep+dwti26f1S+8hjmdZHUWf1L94h44vOdzC+cxiN7cnF4PVVOotz0WnI7/mppZU1chE5JNTO4DmZSTkXYyXWEWH0ZrwpYeJ1vhZdrvHeeB2uzYyV5JhEajhH6uNyPkRYCOXydjavFuU5hYO4NyUXZf92Ddrn5bx3y9PiWN1DDSiPsUwk49jmnkxC2XAKcTl6rCrFj9ElGacWrmuK+cn1m4bYppEGzjOrifut5RqEmGHmDG9Pm81nwzWsRvC6tYK0sCbar8EmxNrnpWQMYKErN/VLFDXMXBtr6t8w8XGDtPGWKY7tJdDg+4YYu8Y5wi+TRB1uYxT9Ck7LMDcr8rOfYy9VflDwwouG9RdbRVEURVEUpSfQF1tFURRFURSlJ9AXW0VRFEVRFKUn0BdbRVEURVEUpSe4rM1jdTdOne5Fwf/npmRQ/LMlZjriUdGJyM6h2HuovwLlkRSWiYje0ncksG3/34Ub8ZyhY1Ce7qJxJSyb0ph4YDhaDjzHj6HoemaqIOr8+nWPQHlfBRNVZCNS6N1lTon/tv8WUefOzdhXXQ/PuWJgUpzzrSeuxAOGr18Da9B1sjk7LysxcnGZbCOIlyZZwo6j0oAY76Bov7xVGqucGTQnLIzJZACcbzZ3QXlv33l5bxvvdUXfBShPtqXZbXMCzWIn2yOizmikCOUtGUys8cDUNnFO4xQGzY4b4nq7Bo/Gcr506mpx7G1rjkL52cW1oo7PIvsPZ9BMeOzkmDiHWy2iFWm+SF/APaMxjHXS08GGhkgjhCEmjO/jNeTS4YkUTNcQ22IYUxrHYOyw23iMJ6EgIho4iPO3vDP4t5bkHF7HZNha3Llyew9W5Xw4U8ZEJdsKs6LOA1OYdKTN4sSb2pKcw/7MXDCYZnj/MROPZRqTZje4Dodd12gWYgYuY3IInsSBJYswzpcw5h9WRxitjHPTDlGHJ1tg7TWdw45ZIdrPEylYYQxdhuQLQQkZTPNMtC+M6Yv3r+G+nbw0cIo6OZYIpIpzqDkok3MkQvysGisvc+daMgnMq6G/2CqKoiiKoig9gb7YKoqiKIqiKD2BvtgqiqIoiqIoPcFlrbHNRpoUi17UkURtKegrVVEb4p1PiTpeBnUoiWHUDs3WMTg8EdFMhyUZcKR2c08BtaPzHdRmPrKwWZwzlEBdoGPQBH/hAdSxXvOm41Buu3JIt27GJAP5uAwGvi0xtWJ5wZXa0iqLPJ7eLANwz7bwvEwU9WU2yWf8w7d/Ecr/bULqp3n//q8Xr4Hy5nUz4hyuUX12QWo1bdbn1ks4/jGDTLe6C59p1wapG54soxjvxElMFrFtszyn1ML+bXlybPtYhoCGi+ugahC1fq+0QxzjvKsPk5BMNgtYPokJHIiIKIF91xyWGq8rrz4J5Rv6T0G5Y3jGB2ZRzztbkXOx3V55K8selfuDy2Rf3bSci/XRlTVydjdY12gZ6vj8slxTaUrYwHWApluHSeLwWmDtEXpOk5aQJXHw4rJOcwDHJXcE+6Ejh5oqmAeE4kvyGRMLK4/b8aKcvwsvDkP5QlJqzzPrMWFPtCqqCDosYUd9WOoN/VHU9xb2h0gC5LDfpUxaWD4uXDcaJoGASVsacF3i2m4iMR9McK1uqOQAXBdq0A3zvvJjwa8+Pku+YDUN/cvPYYkKrJpBT80TaxgvxBInsGfk+vVLRX2NYcExOung30O7cawTL8q+8wJ0xEREbv4HXhTX8G7zaugvtoqiKIqiKEpPoC+2iqIoiqIoSk+gL7aKoiiKoihKT6AvtoqiKIqiKEpPcFmbx2z6gfloVaIo/v62TZgU4ZvV3aJOfBLF3hNpDGgfOSuDE0/+JAbB7xiiJRei0qC1nHJLXvfE7OCK5xARvesnnoPymRqaDkxmrCxzPO3NyUD/PCB/GP70xM1QLp7oF3V++a2Y+GFTHE1db0+fFecc6WDygrcNy4QYH8i/AOUvO1dB+cwzq8U5pT3Y50ul4CQJXj+K9O22FP6ncti/twycEHUedNEAVZ3HvpodDRbtX5meEMe2x9F09mJzHZQP1jDBBBHRT+SOimOcpocGl1vyLEnCaubgIaL6Plw7N95xQNTpj2JijWeK66F8hidVIaLxDCYhKUbk2mm1cCvb8h/QfONXZd9ZaTSTumPy3s4CJmhpbMT11hyUprT0eZwPRiMYN98wg47pHJFsweRBEUHl2d8Nph5uZLNMF+Z12jxJgjyHG8zaBtNJaSMeS08xAyJ2NxEReazLmyYfI8vX0mW+4fpLaBQjIuqOMvOrK5/JfQLneHMd9kN6Qj5j/1FMAtRJy0DzfU8x8yifH2EC/RsQiRN4ggbTSdyUZjKPCbNYCCMbw7guXgusvVarI6r4LDGQ1ZZ1xDlZnDTcTEZE1M2vnHEmZjKP8e409C9PiiE8ofEQr24hzFkWM/Qlp+qijpvAe8WW5HXmrsK+yp/B9kfLsr/b/dJEyYlEf/AM/g+xBvQXW0VRFEVRFKUn0BdbRVEURVEUpSfQF1tFURRFURSlJ7isNbZn630UtS7qNMaS8lFemh+HslOSdVqrUftRyKE2dt0tMnA+19TmIjJq/9PzqHXsuKjPiUekBumGtWegfGtBaiG/Mb8HyrUO6lQm5lADRkQ03Ic6wUSf1Ls0fRSuPVpFTehcWyaq6HwPNcH+FbIf8g72Z44ls/hXp35GnNNleqj/uvF/ijpnmWjujh2HofxgFNtvotsMnv7RcdQcdUpSU2V1cGwXuyG0u+uwH2r7pb5zz09g8o26J+/NNbWcdYkFcaxmuA4nbaM2LGHjnPmZDS+Kc/5iDjXX3zsgx+B9Vz0PZT7WrY4cE5sJRZcW5Fz0mzgGk+/B5BvDn31CnEPFIpYvyLXOV2n0NGrCE4NSF9/exfTHhiQJPGmD1WWaVa5zJKlJNOlapRYzRAKJ1yB1tDoulIu7cqJON4FtaQzL9nbybGwL+HeTpt1p4TFvXPoZ6rGV5/ja3VPi2HwV1631aEHUqWzCGbHxy9gPsXmpUbTquJaMSRGS2F4vhfu6XZVaTavFNMFhNIhcc2sK9M/bZ0p4wK/TxX4gR+pROb4QgEssfl3TWmqwvjH0A9eshukru43niEQQRBRdwrlnNYO1uxQmOYT9Gl7NWHf6iRDXYPuOm5SegTAMHsDPs0gV+8GLyfmQvIB+C5OGeXn7uB54JfQXW0VRFEVRFKUn0BdbRVEURVEUpSfQF1tFURRFURSlJ7B83yBa+TGnXC5TPp+n27/+QYqkL2qTru6TcSr/7sSVUG4sJUWd6MLKOpRfe+eD4tjJOgZOfPTsxsA2X7fmHJTjttTYtjxsS9cQH5ezf3oMykPZmqjzrvH9UB6PFkWdE80RKD+ztLJGmIgoH0d90U8OHBR1vru0Hcprk4uiDmdVHAPlnWrIQJUPT22G8vUjqH18cUHGb93RhzF0HzgqNaCZ3Mrxh0eyVXHsxHEcA7shxy25DnXO71h/CMoTDamNfn4CY/G+Z4uMC1vu4pyeaqDW8edHnxHnnG9jcNCsI7XRHK4bNp3T8YO1xg0XNVzHyhhPNBOVWsL6+5imslhaubFERD7TrHaD42r+yHjzFfIY08tynasXDaGxNekETbrbIF7DR8DiTtS4twryvjaTR3ZM0vO9GKM4EsGTKovypNgFnEND182IOmuzhmCby5hpSJ32xLO4Z3T65ZzJHsF7Z8/jPIuV2UMbSEzLPZozd10eygMvyX2H08nJuKDxeaYBZbpRq8l0ukTkDmDf8HOIiKwGO49rwk1zk8eOjRn0nEzfGyberGxciHsbNOwcr4CxxX2D1tiuG+LUBtyHa3VN2tGgmK0m/SzX3Jt0+o4pru4y3LTUplfW42eMHyyfpnYW25JYDN5jcqfkulgek7jrtujBA39IpVKJcjmp6V+O/mKrKIqiKIqi9AT6YqsoiqIoiqL0BPpiqyiKoiiKovQE+mKrKIqiKIqi9ASXdYKGteklimUuCuYvNAvi71FmRIgPV0Sdoosi5Nv2YqD/2Y40GTw7jQHYo1FpGMinULR/uowB+E3S8DvGjkB5JCpNMscbaPKay6PAfaooRdWzg3hsupUXdWzmXim3EniNEt6HiKiQwTqLBWn02JSeg/LDs2j6+s113xXnLLh4r8PlUVHnuhFuxkNzADeKERGVOtjeu6//iqgz0ZGJEpbz3w/fKI6965qXoPz07FpRJx1Ds8XXvv5mKJuC5CcXcZYU16dEnTNVbO90CefryT6cL0REJWY4ixqMjFkbzWF8Ls535bpoemgGqXWlEYGbx45fQPOYPYljRES0ceFpPOAHB3Z/LYaoHxlPS1Olsw0Np90CG1uDecTnh8L4xHg/mEwp7JgpgUBtFc4ZU7IFTnyOGeRceU6pgnNkaBjNZJWW/O2lPYLztfSA3B+eGmOmxI04f988fkacM7kJ98XOgjQbVzfhXh+tYftKG6QhKsp8X5mkXDvFzejIYUuJLrxVnlM4gW1p9sm+6uzG/k1P4dgmluTaP38b3twxJMmIMW/ewGHc3+KzhkQVfC7ypAlEIhmEn8L9wKrK64YiTPIKDjN1WTwDAhH5UXyFsuu4b/qGOW/5eI5vSNhgSgaBFQyGM5YUw+7I9xJex3KxjslclprB9tXGgpM4OOwymfPSbMz3M7sujYzL0QQNiqIoiqIoyhsOfbFVFEVRFEVRegJ9sVUURVEURVF6gstaY7t/cYwirYsaosWK1HdyGUprUWqmKIq6mYiF5Sdn1otTkjHUczbaUnMyNVvAtjRR25IZksGIqy7qoT7/vfeIOs4QalWiMdQpNSpS1/j8ImqCh5Iy2PdcA3Wt52cwYUAkJvVQG/MLeN2I1DB//hhqSVvHUe/78dq7xDmctYWiOLY5OQvlmQ5ed0NyXpzzV2ffBOVSS84HnnSiyTShv7KN6T2J6OH5zeIY58wEJpmIbGKB022p3yrXMeD6SLws6nRYEo/ZCo4j19MSEU02UEs43ZS67OE4juVwDMsVV2phix28V9uT24tNuCgLBVwHia/JIPM2C+RuSrbgu8GB8V83PNk298gJKEeyqKHs7jEkfeFyPYPkzPJYYgquLTRq85jGVl6W0hdwvs5cj/utbZDHLe3i95L3jqfxxCsHJ6H8ohAWE81P43ytr5JrJ1LF8xpHClB+7MmrxDmtVWycHNne5HmmUWRJM9KT8hynjccag4bA+UyT2C7gObElgz55PbbFYAcRdLJ4b6ch1xttwDXZLMs6nTSu7fxZvG5jp9xT8odxD7ErBr0sSypQX4fXSR8JSIjwKizeiDrswv4itqUoP7u4XjaUbp/VsUx2AK5h90wGC+xzsUa78sJOF9eSKaEE/ynTt7nmVrYlWsHr9s0HJxjx48E6XLsanBgI8EJ4K75/7R/uyoqiKIqiKIry44m+2CqKoiiKoig9gb7YKoqiKIqiKD2BvtgqiqIoiqIoPcFlbR5rdqLkfN+4dVAq54Xcfrwj6vQNoWj8pfnxwPvGHDQZmCTlEZa0oVPDru7sl0kS/vHFG6A8fP2sqNOfRMH9ngKaLV5aWiXOmauh0ePUmWFRJ92P5hC/haLyW7YeE+eMJTDo+Y3J06KOzUxR/hq8T2VBmv44Q6PnxTGXjS5/7rMPrRPnxK/CqOKlljRA8WObC2hC+7NnbxHnRJM4rxJJ6aTJ9qPgvlrEgPxrx4uyLUlsy/0Xtos6S2W8jjeP5sH5EZlY49Z+HMv5EK4TbkL76tErRJ2hPlxLVw5Mijo8oUQ/S2TS+JeGoO3H0Uhln50SVbz6yoHb/dZrM538U8Hbb9flXuUlcQ8xJVIgOyAQvSk/A9vAhOHMQHwzGhk9T57jnsZ5FanLOpG1+AyHlzChSL0lTShOCueIn5DmvE4UzTfps7ifxUoGI9si/s6TOyvHoLyedxYWF9+B85mIKPksrlHH4Jmp38gMvadxX2z1v8aEI6zLnSYe8LFbiIgochDv3dkg97NoDa8zeTP2Xfa0/M2s9hb8zBvcJ/ffWBHXaayEYzDxz+Tnc2IhuG+4h7a0uwDlvifl/tHYPIj3Ob0YeB+ruXKSASISa9Rqy3km1nHUMFActh2YEkrILC8MgymNG1KNyWNY+6w228cN51gtw3MzvOwPBu6HMQjrL7aKoiiKoihKT6AvtoqiKIqiKEpPoC+2iqIoiqIoSk9weWts2xFyIhc1WG5C6mzsFuo6ojmps6vWUZPYbbHA0wWpvel0UU9SLRkSPzAtyz+/8TEo35DGAO1ERJ84/XYoz5alPrLVYVpdD9vS9eR3lb1DqHV89KUBUac9z7Rsw6h/OV7CBANERIeYHq7YSYk61zB97EPP7YSy3TFob9ixRx7ZLeqsvRP1TscOrIbywIScD+0iJp1Y//NHRB3O4ydQ3zkyWhR1BlOon91bkJrgx+bwOh02jvWO1BLesuoklP/hub2ijl1j2qtB1HjVu/K6HSas8wzCyw3xOSj//QwGtHddOc8WyqjNe4mkHm7mAOq7N38J+07OeCKrhnXcLatlpWcPGc68fPBZkHbHoD/zUmwsg/S0YWH3Xtwt13FtFd5rUz/q6UcSMsD9E7QeyvazMmj/T6zBOf78HI5tfU5q8FPngj+2WK4bqm7G/rQaUrOYP45zenG7TExg0qQCE/KzgLela7AVJJ7Bmd/Os/nQkGPdHEHtY+aMXJMt3PKovg61j3yvJSK6+drDUH781CbZYEZqEu+dWDIkEGjhM7X65DjWxrDPO6yvaqvldWtsO+Cf+0REo0/hedEa6jUbW6XvpMnal5iQg2812DuF8xp+KzQlfuiwcTIlW+CXYUkcyJBsgQLmrx+XFewm07RHTJ/ZzHfE2mvXgz0OvqHvlieiMHoKXgX9xVZRFEVRFEXpCfTFVlEURVEURekJ9MVWURRFURRF6Qkua43tm1edpVjmoibngdo28ffEcYyT125KvaHfXVmnVj5dCGyHSSea374A5bUxLD9Vk7qlXYVpKF9YkM/UPoE6tcYG+UycM6dQP/Tz73pC1Kl0sa8m6xhzcP/zG8Q59ggGZBwYr4o65TrqeZ0qfpeKbpLavEYFRWm/tPcZUedv//ZWKCeZ/KZmCEfc3Y3tW5cKjks4OYL9MJ4piTrnKwUor40viDpfPHgTlB0W03M+I3WN36qgXs9qye+hzjhqwDsNnA8vHJfxfBOOIVYs49mfQk1wcxPOoe2nMb4vEVHx2lEoT90sxYTb/n/7oOw1Q2ivYvhMkYqMAe1vXr/iNdxjJ1f8++uNzWIW+2cvyEp9W7COKTakSa8XQHME11tqTsaLXLwC7zVVwRi1a9MYI5qI6F0bD+I543LcWi5+BO3on4HyzBmMe0xEVF+N8zcxIz/GEmwJtvtw7cSKBj1qAcvpSdmXXGvM6Rbk2urm2TkRqRWMM/9H7uuouXU68pzEIl538U2GGKrs881m2uI1O/Ezx0RfviaO1Vu4N3EdsRs1xDVmx3j8ZCKiVgHreGxorWFDEGCG5cj5u1DB/rSYNyV7TvZvN4ltmb1pUNQZ/h72n9Vl9w6jCw2jlW+xsXWkFtZPGbw+HBaT1m6g9txNSV25F8NBsDsh4smyvcmPGl41WVv8VFxUsQxxdcOgv9gqiqIoiqIoPYG+2CqKoiiKoig9gb7YKoqiKIqiKD2BvtgqiqIoiqIoPcFlbR577MxGslMXTRf5pxLi76UdKHLevUEaMs6X0NDAEzZE+xrinMYFFKJff+NRUWeuiXW+wgLcX9N3TpwTsbG9iYQM0t5kum3vBN6nm5Ni6807MEHD0/PSUDSSQhPXluwslF9KynOSrH3/68Re2d4JNJn4GSYYb0nz2/VbMfj7lw5cI+r0TaHzoF0IFuDbMey8r5/eJepsHEDXyYXDmISiuSV4yXzpwrXiWKSK7XOT2P5oWX7H9IeY2aJPmkO4WcyqYvsig9Js8cR+NCHZDXnvLZPPY/sm0dTj+nKeZc5iYoqtXzGYm1LMJOfL9cXxWmissQYKok59PQv+z4wpaW6+IKLu2YnAe//IYCYvnz2jf/UOeQozmViedN8IQxk7pz4mDRqVNWhE4UHxiYgiVbzXTWOnZSXGfBv3pqm6TNCQjeJzH5vDRDD9a4qB91ny+sSxThafu38fzvF4Wc7fSIPtTYZg9uWNeJAnBkqdlftZhE3x2ip57/7v4LqNldGEVlofbBKmjinAPfYDN83V2tIs9OhzbO5l5eeQU1jZpBgrybXPE1NEZO4jipXxukvb8e9rhqXhd7Emjbec8np8BieF/dtNyfcHm/VdcsbwzCJxAn7GuCMFcQpPZmAvSgO1xRK0eP34OcqvcbESm1empA7smB/BcqRoSEg1jOvYew2JYUy/oNoVNCVaTYP5cfnfvWCj8Ur3UxRFURRFUZTLDn2xVRRFURRFUXoCfbFVFEVRFEVReoLLWmPb//UkRaIXtTHJOam/KO7F9/aT8wOiTqe9cheY/p6YQ53Vk8c3ijojI0Uot2y8znent4pzKk3Uv1UvSE0a5VFHk1lVxvscLIhTHAvPOT0n+8EeRv3QewdfwHN2yXM4B767RRzLTa+sxyntkhqvZ57GvvENX7+6Kbxu81rU63SactzsOt5reKAs6szWUE80tBUTEcyckwHjOUslQ/DsDah1TaexPJyVyS1Onke94a/sfUrU6Yvgc/8/j98B5c2jc+Kcw3XMXmFVZHtP3I265s3/ETW3fic4EYDvSh2YW5F6siCsCOoL62sN64IRLaNGzS/L/n1dsbHP7fVroOwadGw8MLopeLkXY2PJdLi1YTnW5d2obdu4blbU4Zyp4X6Qicj998gCJvWIR2XygnwMBaiZJF5n7pzUzzpVfIaCIfdGYxj7r8UvY5i+6Qm8tykQ/Ybz4hBQ3J4RxyJNvNnwM7KvmkO498cXsU4mITfBmTfhscS04bOK5VEpXYf7jv+83NcHWX82hqX+tLYa5x5PtuAY5JLunUUodzz5TMUlTDJwzdYzUO6LSU3+TCwrjnFOPoUToL6WeR7GpI547d+zpB4VWaczhnvR0mbsq+SiKbEGdo7fF5xYobwO58fgs1JrbFeYnyJMUoQ47q1eSu4P87uxfSNPyc/N15RIgWuATT+zLvciWOF/h9VfbBVFURRFUZSeQF9sFUVRFEVRlJ5AX2wVRVEURVGUnkBfbBVFURRFUZSe4LI2j3VTFvmxiyLweFGaLaIL+Hj1qBTB9w2gqaRrELRz/BZGmh54WBqgpq9DUf6uHRgM/gJLDEFElI6jqDy9SRp/LpwehHJ1AsXr/rA0aHCz2Nu3HBZ1ciyK+J+cuQ3K/2rdI+Kc33/+3VC2ZDeIJBkc35EujuQsCtj7jstrlJhfL7ofx8QUzvzKd+Fz394v+2EgsrLJ6MJ6aWb502M3Q7niSANJLILP8PZ1eO+HpjaLcwYH0Wg1Fi2KOp+8/z14n1EMsH1sEhNMEBH1DeF1G2eDjYEcy2Bu8g0JA35ofHkNO4f9GTWYOLhpKnock5K4S0v/+227hESYWawzFGyI42YmYRQjImIJGuauDg5ev2oVGlF2FaYCz3lyZj22zZJzfm2+COXpmjT5JBzcr5YO4v4WWS3NQl4T9/H6mNyzR5/EOZKcQpMlD0xvxDAXjYHxl1E4IvcPq4nPaHXkHh1dwPa5WXxGpynNOVaXBdc3JDzITrB7d9GEZMulRNXVOIeipi0xwhKMsD/f+eHHxSkZJzjA/nnm8huK4V718KzcJzlnjss9L8tubbls/3LlWmqxpD+NAfn+wOGJQVILcg7NXRFsFhPXZcvLu0GamAefQ1OXU5QD5yfwQ5ongqC4/OQcfgbHgCeKIZJ7U5j15RbwoeyaTCZktQ0TNAT6i62iKIqiKIrSE1zyF9tut0v/8T/+R9qwYQMlk0nauHEj/f7v/z55y8JM+L5Pd911F42Pj1MymaTbbruNDh48eKmboiiKoiiKoryBuOQvtp/4xCfov/23/0af+cxn6PDhw/TJT36S/vAP/5D+63/9r6/U+eQnP0mf+tSn6DOf+Qw988wzNDo6SnfccQdVXkOMS0VRFEVRFEUh+hFobJ944gn66Z/+aXrXu95FRETr16+nL37xi/Tss88S0cVfaz/96U/Txz72MXrf+95HRESf//znaWRkhO6991764Ac/GPpelfVE9suyl+J2qQ2xua6mLh93yQ0I7mx49R9YQt1MZb3hvARqTg4eWw3l5DnZXq5AiptkgXtQM+WnmebLECfZYtGzd6dllPE3J09B+VgVg6vvr6MmkIjIrbBn6JPaMSfDNF6sLZFjUgPY7sM6s9fKQXDj+KCFzTJgNWdbZgbKX56+WtT5qZGXVrzGrvgFcexDWx+G8h/X7xB14nHUCk01UVN59ZAckzNV1FH96fFbRJ0r9p6G8rlSAcpLF6SWe6mFcz6SCdbGnroL+yo1JXVWmUmci5l/eFHU8duGyO0BuAs4tpGXpO7KSqysf3OGhsQxd05q2P+pcCdQAxxh2jYeOJ2IyE3hMbsl1xsPej78NP5YUNmIWnQiom0FTMgwEK2JOjNtnK/b+3EtVTuo3SSSwfQzUamxnG9ie1KTLHD+QrBG2KTBT06wH0kcvK4xuUWCfT6YNOMBcei9qEH3zI5Zrhxbn9XhY5uYlVrjDX+P5ekbpU7bi+Bz58/gdRd3yLb0H8H+rK6Sz/Tu6zFhy6kqaqNbnvysTbGsDcNRGeg/66DO8s+P3yjqcKqncY8z/VqXnMexdJqGcWJYLJnBwIGSrBSQmKA7YNDTrsW+4fpZE1wLzZN+EBF5KZ5swZDchCdxYBi1sUxT6zuyDp+/HKHlJSIvj33jRVZe667bJDq7YpVXuOS/2N588830wAMP0LFjx4iI6KWXXqJHH32U3vnOdxIR0enTp2l6epruvPPOV86Jx+N066230uOPS8E5EVGr1aJyuQz/KYqiKIqiKMpyLvkvtr/7u79LpVKJtm/fTo7jkOu69J/+03+iX/qlXyIiounpaSIiGhlB5+LIyAidPWt+Hb/nnnvo4x//+KVuqqIoiqIoitJDXPJfbL/0pS/RF77wBbr33nvp+eefp89//vP0R3/0R/T5z38e6lksLI3v++LY9/noRz9KpVLplf8mJiaM9RRFURRFUZQ3Lpf8F9v/8B/+A/3e7/0e/eIv/iIREe3Zs4fOnj1L99xzD/3qr/4qjY6OEtHFX27HxsZeOW92dlb8ivt94vE4xeNSw2V1LLJf1n9EpCzMgHyPj5VX1oa0+qSWZeFa1CnZDXmNxGlsb5fpGL2YIX7rNHuxN3ztSA5isMJmDePSDQzL2HUf3vw9KFdcqfs52B6H8vEF1CSW2vKcaA41U27XoL1hEqQY09Sm/v/s/Xe0Xdd134vPvffp/faGe9E7QLCDTewiRVukZVuRZTuyHDuJEv+sWM+S7ejlOU9+4xfp5+TFkh8Vx3GihLHkSI6p5qixiBJ7A1EIgOjABXB7O72fs/f7AyJ4v3Mu3n2Zn+wYR/MzhsbQ3Fhr7bVX2/sefuecU/76zmZK/sHTvBU1dOszqMNsuXJO7kgcB/uJ6W2izKmqeQ2u9O+DYdRe/cPdz4syX7+4B2zXw7E6W5SxZHms43+x47uizH+ZuBXs7BzTjAcNGrAW0xuOygCYzbzcb8tZd4v8ryu5Oq6R+Q+vFWX6P4nP7b5xipXwETESkWtyMv3bcjx9mz++l2MbzirBpnVgeg7XsRliRTZQ+1gbkJo0iw1frQv3QWG9/28ZLsl7Byy89/rYItinmCafiOiHpzeDvWdM6shPHkbtvr0GH2DTV1aOK01k1gVabaa7ZfvNVKcdZa9Dw9FkN1den8HpnGw3jTriVkauD5fNd4DF0HXK/tr0oaelU0Y7gfeqd7Ng44ZnbEWxL05dFnrqr24A+6c/iDLCNSHZl4kGaj4TjtR7TjcyYO8ZQJ+Go4/sFHUyzA5IOTIVNuAzhXKyDKfrAK5xrl8nIiKfOKuWQXuevIhrs9rtvycjeVx37aDco5VBvFfylNQEe46PttgQu5lrzd2I7G9jSGr3lxNZWFnbS2TW4cK/tw0+BW/Dj/0X20qlQjZbAI7jXA73tX79ehocHKQnnnji8r83Gg16+umn6ZZb/IXiiqIoiqIoimLix/6L7YMPPkj/6l/9KxobG6OdO3fSgQMH6I/+6I/o137t14jokgThYx/7GH3605+mzZs30+bNm+nTn/40xWIx+qVf+qUfd3cURVEURVGUnxB+7B+2Dz/8MP3+7/8+/cZv/AbNzc3R8PAwfeQjH6F/+S//5eUyv/u7v0vVapV+4zd+g7LZLO3du5cef/xxSiZ9Qm8piqIoiqIoytvwY/+wTSaT9LnPfY4+97nPvW0Zy7LoU5/6FH3qU5/6cd9eURRFURRF+Qnlx/5h+7dJ14k2BYKXhNhLO6Qo2g0yAX5dCq5D+ZWdl5IX5L/bbdQQz+8xOFvUuI1lYjOm++K13BZZon0eozk7bWw3Py3F6n/cvhvscjUkygx2rex8s1iWjirRKDo0VCr+TjMeGyrPsAITk8zxY1aWWQxjMPL3/4Nvg112ZV8iForTKw0ZnDzXxOe0WUKJi+WMqPNSYx3Yv7Xh+6LMmmQO7KPzg2AXS9I5Lx7HRfTIpNSg5+uYmMAK+TtfeQ0mrT8n5zZSW9lJ6o30oLg23IPOCkNJuabOvm892GvPYf/dinRkE5gcuExOD38DON0s6HlvtyjjJvz3gV1jiVZY962mTDrghXCzFMbk5mEx8KmewbGq9cr1sTGGiSp6g3LetkRmwH4qux3scwU5DtEYdubI5LAo47EELm3m2NhMrcIRzwBPwGA12HgbnMcCJTwfXFOZRXRms5qs3ajByZlNbmhWOsTVhtl/rWTrgc89EVGtb+WkJEREk3dgvXYcx8WLSae09gl8PzQNCVwaAzhWFyu4L56f3SDqhAM4VucP3iTvzZL8WCyRQjrg77w5d5dMBGLn8awf+aG/M54Yc8O5w5M4iDaCcg25zPHLXoVPVLCI54HB95xq3SzxQ49/chOnvLLDFhGRxRwmAyU5djzpSDOBfan1yrVqMac0hztvElGg+Na9vP+VzmOKoiiKoiiK8r8C/bBVFEVRFEVROgL9sFUURVEURVE6gitaY9tI29QOXfo2t6QkjcJFfz1OfBYr2g3UfUSnZeaH7E7Ud278rzOizNJNKwf6z26TfYsssiDtASmkCZSxjMtm0KTXyZ/HQP+JsYIoU6yhNoxrS2uvygQCNpPatNb5a2ASLOZ1sCyfsTzgE0SaiHj+hW8tYgKEfzH8HVHnW6XdYPfF5dxOMA3tP1iDyRb6euXY/ca+Xwb7/zl7jyiTiWDU8GQEdWCFc3hfIiI3hmV2Z6ZEmTCb8O+2UfuYXUJNNhHRyPdw8MJZqZm6cB/q7GJTuO4KhgQO69fj5DYNSTKq6/Fe1jDuEycojyTv4jTWMWjd2jxBgxCt+p8Fq6Fx1Tqwg1kZeNwusAjxpsDuHAefuzKWEkUCVTyryiOymUAFn5MnhvGCcr+9XsSG7u4+LsrEbVyLP9OzH+yD8+8VddIxHAcnLu9dTTJt3mO9YC/gtiYiop7D2JfQoiH4Ox9yNgdu2LDObBy7YNYQ6Z+tKy+Aa7w+KCP72G3UKDpluR6cOpaxmSbYtIZKQ/gMrZhc460M01AyJ4fIuPS3qAwz3WhGng8DfXgO5lgCn1RYzsmJg2N47yVDwiTWH6eG412WMm3Zt+9L34nYDI5DeHwBbM9w7vAxb/bJs5QSrL9Ms+oU5NhF2TqjXtlfTiON/eOaWyIih3271Ltku1Yby0Qa/j4ZXGNrOkt5Qhk35H/eBovYrmvQI7eSb41vq+Xf1zfRX2wVRVEURVGUjkA/bBVFURRFUZSOQD9sFUVRFEVRlI5AP2wVRVEURVGUjuDKdh5LWuSEL4mUI4v+AdoT01Jw3YoypwKm/b94n3TiCBawTvdj0qEoVOpbsS/xCelYE8kxMbUhQHib+ey0ovjcrkGHbnWjgL04ZxDBuyuLvWX6AKLyVmw3OOsvguf9dw0BtwN1fKZwXorGPQfH7/mjm8F+tmuTqLMjMgm2MyDXzHgNneRO1IbAPm1Jp8Ctg3NgH35jTJT5x3d9Dew/+M77RRmOxxw9vvNXN4sytR3o4DLSnwO7MCudvOau51ekA0niPN67uB7HymrKeXvmNI759jXSqTKWwf4e/2e4T9LHTY6D6FBkWuNDz2JyCO8Ac4Dy5BoKrMN58iJyHNwYXnvTWfVNLr4fHTOJiKJzGbD7X5NJJwJL6Lg4+W5McBAsybXpWTg2kd05UaZ2BO/dTONzp0dxnIiINsUxQUPEkg4vNdOgLyMekoHeEyF08jp+USb1iJzAwO3JnP85HuSJFCKGRBVV7jTFnL4cebbaLCkGd4ghIvLS/kHvOS67lxWUa5zfm7i/Tlu+u/j7oskTrxBRbBznrd7NguIb8hRwB8TgrAyuX2TzNjuGzm7RSTkn/CSq98g9WR1kZ/8ijlVsWq6P/lfkmhbw+Q+zvW5ItOAm8RlNiQlEog+2ZnhiECKiVgSfqTwk10P6LK+H/W+k/B2sTTS6sL/Bon87dt3fKdxl52KgypI6FP0TQbQNCRq8ZY5q3jtwANZfbBVFURRFUZSOQD9sFUVRFEVRlI5AP2wVRVEURVGUjuCK1tha7bcSM9j+Eg5j4P/afVIfu5z1D0uNYujgGdYR+fdB4vlzYJ/5GOoPnYrUi9S78Nrws1Kbd/6nUe1qSuLgR2ag6Fum9hpq/jyTvKWGzz14rdRUzryGurpar3/g/BCTTAXLsoyD8j0aeBrn9t8ffJ+ow/mH/5//Ia7N1VFk/dLsOrAHE3LsbuwaBzuyWy7G//PpnwW7a1MW7DVpqRMb/+YGcY0TPoHrYf40U0NvlWvIOY46QTck11DyZzApQrsqdXacTd0Y9DziSG1WKIBawWoax6qe8dd88aQDRETz16EWvs/dBrZdk/q4Nz7aBbZTNfydz7Tnbhi1Y0GDvK/rBN6rmZDH7PhPo26YB06PG7SEnESyJK4Vr8XxnDuHmvEbh86LOjGWacWx5L1zbVwzSy3U6YcDcq6zNVyLO8amRZlTF9bhvZt47+RZmUSFYzh+iVgwd4/pcD2Dtt/1mBY2vBqfAVyvdkNqYT0WeN6k3SVWLZDFc8aLSy+H5AmmKzdod7uOoD23F/dJzeQKwrrH/SKI5Hun92W8d36LXEPdR/BaYZ0hID/b232HcF0lji3JznD98Sq0mF6UaWwNCTAsnhDAkCBAaKP5fQx+Mo00jpVnOPJa0ZWfwXLl+DaSbJ0ZmgixhEgWT2RjgCcuMd3b9kn04IblQwaK+BIXSUmIyK69dc1p18W/vx36i62iKIqiKIrSEeiHraIoiqIoitIR6IetoiiKoiiK0hFc0RpbN0hk/UgGVV4jBSW1NUxXZ4rVOhsHMzGOQ9LISN1HsInXrKBhGJt4765jqEvp/u4JUcVroD7OMmiF1hLqLpd2oPaqFZd1GnksEzkhRVNc72TUrTGsBI7DxfFeUcYg3wTKa6Q2J7KIz8C1Q5dujubcvTh29oK/Pm5beEpcu3sE5yU/ZBCYMf588VawTy1K4dqmTag/PjeL2sfDizK2sM3GZud146LMG6+uAzt9CgcmcE5q8yosnGhpndQEX5zE/u3delaU4ex7YSvYm667IMoEHHwmm8XZjc7LBVPYiHbmuChCsQXUuhW2oFa6+EGppR+NYfzWdalFUabWxnW0WMPz4vyhYVFn/GdWsXmY/jhzGO8z90DNt4lWVc5tNo/9c7pQlzYclqLgoI19mWpmRJm+AGo+6x6eecW63Cezsxjjd7YszwdvENfe4mY8NxuPy33RfUzqxjluDMfTarN1Z9AEck2iKY44P3e4NtqN+GvETbpLcrCddg+uXzsvn9nL4FwLTSgR1QaxTKDK/r3XcP7OYf9sQxjTzBmsF7+A/es+Kus4WdRLd7+8Cv8Qrn01vWtXA4sl7EbY+jB1hcW2tesG/XQosKKd3S7X79JO0YooEyhjf00x+DntMLbTishvAX6tMoBaY7tlGIgeHKvIonxfOFVcJC7TezsVQwxgVsYUp3b5mvZW81HyI/QXW0VRFEVRFKUj0A9bRVEURVEUpSPQD1tFURRFURSlI9APW0VRFEVRFKUjsDxvFRF6/45RKBQonU7TvQP/iAL2JfFzY7N04mgm/YXm8UOTYHMHLq8oA/LzIbNCIVGGU7lju2+Zehr/zghWDIHzD8+BvXgzegKZxN+BGhOVG4I/uyxgeWE9c+DazLwOiCgYQsF4qynH25td2fkqdVr+bRWbR6F8qCCF84s7ccw3ve8U2EvMycfE+fPSyesztz8Ktm2tHHiaiGgwgA45h6prRZnH5neAfWoW792awgD4JgLD0oGk3cbxc86iQ9HQi9Lzg4v0Z2/w3yfBq3Jg106kRRnugBHaKh22mm9ggPgk5jGhRsbgBCqSerx9P9+kzbwWnbrBkSLJgvjbcu9csws7OBjF82Cp4T9vpabcA+cWMQFKZYG1Y4iufvfVb/je6/UFPAd7YuiwsymJSTSIiDZE0Yku7ch1Ns0cyp6e3wz2bb0saQ0RffXcHrCrJzKiDCc2jc8dmzU4RHXhmk9OGRKB5PCayfGHszwYPJF0QFsNxkQ2PCGD6Uhh7xQevJ7acm16UdY/w6u81o/nQWkI93pl0JAgh23b4cfnRBnuWCXubXLyavufpRTwcb4zPKMbY+/f1SRoYEkHPEe+h/h6EPNIRHYVvxeqa5KiDGf6Fuxvvd/gncfof8HfKZEnN3EacqxaYb6/sP+NjP+7IDq7+kQJb8ITmRDJRA/8G4QI3ymtVo2e++EfUD6fp1QqJcouR3+xVRRFURRFUToC/bBVFEVRFEVROgL9sFUURVEURVE6gis6QQM5NpF9SbsROjsr/jkYRW2bNy21Qq6PxDj781f7dqORktoQHlC53I8ak8qQQQe0Cu1gbvMQ2A6L417vlo1wvWErLbVO0Umm7y3hvwcPyGDwgTswoH0gLoPKzxdQB7b2W9iX2HhW1OFM39UjrqXuw4QH/3j4GbDbqxjM3zz/IXHtk8+8H+xP3Po9sO+MnfRtdzgon2lrEtfnQgU1wLORiKiz96rTYL98aJMoE8zhumpvQC10YULOG8cLyD0Q2iED+cN94nINdb+Oa6joSh3U+lswaUPtRdSElgxHUiiHdvPBnChTnMB72TWcfzcon9GpYH9N+sjDEyNgJ9ZjoopCQ87baBznvzskNas2EyTHBqfBjjsyoDnnxYl14tq96zDByCATTMYcqY+rtPGc7A7IuT1eQi3/Yhk1wUfDeC4REXXHcC1OjPonOyl04XlRHpHrIcqOcb/A7pcuoOmU/ceXXMO7wedYsQwFPN4Vg9bUlFwBMOk7S3jeWiXpBxGfzYEdmUZt/MX3SK18tR+fe+Yu6Ysw9DiuV49rY0162lWU4QkOxL8b5ponWzDqnH0wJWioDfnr54lWPl/zG6ROO8Jk7rbBNyXAjox6xr8nsTl8iPoqEhuVh7F/iUm5LwIl5ndkWIumeVlOsCDPHTeE66EVlb5K7chbz2Dy4Xk79BdbRVEURVEUpSPQD1tFURRFURSlI9APW0VRFEVRFKUj0A9bRVEURVEUpSO4op3H2nMLZFmXxM9WwP9RWtdvE9e8wMrf9oG6VJUXxlD0HM7JMkWD08NyGpuk0F+wIJ0tGkzrnzmOom3bEIieXLzm1GSw5MoYBonuHsmBXTokHbhKWXSAsuel+DswjA4Oc9eiIL+fpINRYRTHzuQMUPo2OrP851+4Dex9B6SjVfoEPndGNkseWw7/9fn3gv3v3isTdnA+tvMpce352Q1gZ4vMMcHgwLX/4hqwYwNlUaZnI3oZ3DWIzm1/XrlZ1Mn0oWfgz4/JwP91d+X12x6T+2bi6gzYa2I5UWbf/BjYs7fjfQy+TYJkQAbbD+awP82UfzB4hzuYhWWdbUPoqfTqBCbfePf646IOdwwLWrK/GxLoQRKz0WmDt0FEFLHRiSO6tinKCKc0NqAOyXbzbXSAGfCk46DLNmEXcwzrDzNvUyIajmI71/VcEGX++om9eGEAx6HdK51ZWuvwmnVKOvA00+gU41Rxbu2qDIpv8aQDq3FCEsMpx9diSXNM7xwerN4L+gfk52Xspn+g/+JmTCBgenfF0S+MkhfkHIiEBswxzLNNz4jj66b8HVs5pkD/IiGDyWfKkLjIj/AS7p3SmHQmi0/i+608jO/s2Kzc+4W1+Axb3i2Tmxx+bT3Y6ZP4jHFD4hKeeGkVuYVEndKwfIfHZv03QqCCa48nwGg78n1iN3BsIvPym6jes8w5t+WfZOVy26suqSiKoiiKoih/h9EPW0VRFEVRFKUj0A9bRVEURVEUpSOwPM8nQ8HfQQqFAqXTabr1nk9RIHBJg9GMS+2NtYpHsxusDJOT5NfKAMuFLSheiczKvw8aXSvf26R/aQ2ilskzaGE5AR6gP2kIeu34j4NTxmdwe1C/19uHgd6JiBZPMN2tQYoTKOHFQAXtzGmDboZpptpS9iOo9mH/A2WD1m0VmqPMadRV1Xpx/nf+7uu+bTx+YJdvmb41Od8yi0sJsK0ZmQwgsBa1je5ZrNMakqLVf3Y9aoAn612izGydafFsnKeoIYFATxA1wFwTSkT0F2euB7tSxmeKRP0D59eqckEET6Ber2lIQsLhSSasutzHdgPX4q4bMUFDV1gmXzi2NOB773Idn+E9a4+BnTCIjZ1VLOD+IO7ThSbOY5JndDEwXpN6+nURTMby3bmdWGexW9TZ1Ic64lRQ3jsTZAlFWqhRfG1qVNSpzKK2PzYh9XtdJ3C9Js7iPjG9G9wI1/YbEj/8z7wuuX6W61OJyPZL0LCad1lV7jfO/F6cp7YhZ0bPYZyT4IwhWUsIz8VWmullbZOvBx8H0/jKalDHlNfof2JKTEkyOC7TMFcH5LnTjOFc2k2WJCEjO1zYiGXciHwAL4j9c4rMP+SEbDdUxHZqXf7aWJvJsoMl2ZfERf8zw/FZe62UXGhcV+5UpEa8kX5rzFutGj3/gz+gfD5PqZT0zVmO/mKrKIqiKIqidAT6YasoiqIoiqJ0BPphqyiKoiiKonQEV3Qc29JQkJwfaX0CNakNcZjswzbEsmsmULuS3+D/rR8soHbFFAuwySQgzTRqvuyU1KQ4k6g3bPXJMpFx1PkM3DYF9tSS1J64F1GT5hlipoqYngVcGvmJXlHHZqsnNu2vmSqtRe3QbI+sw/sSm/HXCkUWmV6Ha6eJKDbrr99sMa12gMW/fPab1/i2QWNy3oJLOFjzAQxI/MvXvSzquMP43I9lZBzmpQXUUN5390Gwf7Z7/4pdJSL63uxOcW18AbV4rRaOyy/vfFXU4fpNHh+ViGhX3wzYbp//3CYDqDddrMt4khfTqBPe2IX6zpePbpQNM+159II8Dmt9OP+vH14H9lW7x0WdpYN9YIez8hlbuCVpdhDnseBIPXXDJ7YwEVE6ifpIHsc2aEkdW5v9vhHlBycRxWxsh8fLHUjL+M7lJp5VS1U5b20mmqw38Rntl1ngbiIaPsd1+VKnH5/EceDa2HZU+k4ITEuz/c4FnVxLSGTwg2D3EnVWc1+DDtcqoO49UMN9YoobHZxnMYkd6esh4tSy/rtBQxxbpiN2anItuiEWD9egRxasQi8r+tL0j4laH8Q9WO6X4+AwTW0jgf0NVuScBIvsmQyh0VtMuxvKsW+OvHzmRgLLmDTMnEAR20mflrHS+boyabn98gE4hrjRQnNt8tGpLpsnjWOrKIqiKIqi/KShH7aKoiiKoihKR6AftoqiKIqiKEpHoB+2iqIoiqIoSkdwRTuPZU5XKfAjR6hGxt8ZwA1IdTIP/p+Y8Beit6LYTnHMdC+0nTIKz8MX/Ye+PST70t6Bwn7HxjJuWwrc20l/0XWD+fkEl7CdyLwcu0CVC+MNzgvs1qGc/99SzTi2UxqT7Q6+uPI8eYbb1LpxjYSzUtDuMGcx7kw2+n3mWEGGQO4GEXx2G5vvU9iXr6X3iDr1GpYZG1gSZUY3YPD0p05vxX/flRV1Tpb7sSuHZBD8PdedAXtzch7siapM6lAJ4WaarGZEmakyOgNFAuiIkKtJh7OQg4vINXgZXN03CfZ4CZ3fuPMeEVGTOWcGjU4czCFjEyZkOPmEdEpz2K34HiAiik3jmt43aThEGNU8OrP83s3fFWX+8Ic/jfeO4c0f2n1I1OkK4DMFDR1+Ib8J7IEIDlYxIAOw94dxryw04qLMy4exXavNErp0y72/kPQ/Q+KT2E4ryfpnaMJizsWlNdKBj5M8j2PHHaRMSGcyEklphG0b6rBbuWHDO7AvA2YzzhPmGNpt4/xbNel06w7i/udOXpbB2Y1fa0cM70Dm8MTnhDscEUnHQFNiDVFnFc5j4QV87uKw7C/PQeMyx+yWPM6o3ud/79ASjmecnRempEXcoSxU8h8H/p5sJeQasmvM8d2UjMHHuXE14y3WPBG5yy6ZnMveDv3FVlEURVEURekI9MNWURRFURRF6Qj0w1ZRFEVRFEXpCK5oja1TqF+OHZ3fI4N/p8+jFsSUoIHrcdpMitUOrSKA/HnZbtcpDFbPtUKeQe87cRcKcsJnpcZr811nwW65+LfJVaMTos6xJzeDXVsjNTLRbgxonnwhyUrIZyyuZUGjpZyT4jOorYktrqzFISLK/yrq9wqLUpuX34Aio0baP9jzyNOomQqUpHbMC6Km1mbBv00Bw2dukmuPw2WLsTlst/vL8hnpH83La4xDR9fihSje6L+dvF7UiX8H59a9XuqfLha6VrRvHjwn6jQ9HLtCU67fWBDHnAf6t3hGDyJqsjX+4MgRUabENu6T49uxgCHZSaYXNaDVPqkb5oHRvQMJsF2D1o3PtdSiEzVSTEvIntt15Tr7wLX7wP7O/G5RJnEWj/RQgSWg2SZFf/kmXtscmxNleplelp87mSBqTYmILjIdNq9DRHTz7lNgv3Ie17PTL9dm75dxvwXKsozdwGuFjfiMnnRFoHCeaQkNusHCWqzoBrAv6TNyHLju1qTDFQHuebIFg3TXctnZxJMmGODnYtfhnGy3yXwPTNrHMPt0YP3liRaIiCyunzUklHD5+cqacepyrnkzdtNf59xO4tlkel/U+vFMSczIey/uwA7Wt+F71GvJOQlMGw4NhsukrqVR9q5dlB0uD6HNkxaZiC7hMzXS8pMwVsQz26RhFmvGZnNdMiRoYDSGZHKp5UkmXEOikLdDf7FVFEVRFEVROgL9sFUURVEURVE6Av2wVRRFURRFUToC/bBVFEVRFEVROoIr2nls7pYMOaFLInCnYRBK+2unKVxgwd+ZU1eoKAXjLhPBZ7fIoMYze9FZITXOgifnpZi6NmwIfMx4YwIV4luGZ8E+Njso6tQ3oSPbDRvOizIX/hQdzHiCiUBNDmbmFF6LLMlnaofxb6d6Gu1gWbYb/zIG8S/fIIpQcTPea9ufFMBu9kiHrjpL4tFK+IvRo1PoDGAZHBOGn0Fnt8qwdNDxbO5oh3NdHpYOBYs55qhkSL5BIexP7BQ6PMQnZbuxeRy7BVs6A6zPLMp7LSPqyLV6rIBrb7rIHRCJRlOYUCIRrINtSr7QZk5HT89vFmXe1Xca7GRPGezijOxLbhqdFVJX5USZ5mvoABVk+TnCWbl+WywIfjsinyk6h/Vqz+Oar+wwBMVnY7M1OSvKnExuwHuzZDL7viodzji9v/iiuJZr4n7iCTC2pqTD2XXpC2C/mlsryrRYhPhkHM+q6Jczoo7dwDVfHpLnb2QWnbhqXdxJWM5JpY+dVbfKjB2tC+jkmbyI/14ak+dO8gy24zny3vx8sJrMGTZs2Ps8OUBIvs7zm7E/3ceYU3MF99+lhvDezTU9skiQJWTgHlwGZyyeoIG3QUTk1HycjAzvdLuBdVaTJMNhdeb2ZkSZAB79FMnKb4EQHmdUy+N5GxuSCX3qs1gmUPZ3UOeJIDzDl1v6HPavZTh3BKv4RuLeeV5U7jfuPOaxZCGrSZoRyMu1WB94a/267+B3WP3FVlEURVEURekI9MNWURRFURRF6Qj0w1ZRFEVRFEXpCK5ojW2gSuT8SFbSNsQ8Lg/4P15sgelmuBTElSKUCtN0he+TgfQXFlHTV9qMGql4DxPwEJFT9Q/czKVM6xJLYO9MT4s6aSYW+otH7xZlWruw4cQFHIiWjLVPqYuoqymOSO1NlOmSKgP4t1SoIMc3MYntbvmPMvNDq5fpT2M4dqFZqW0KFLFMaZ0hKQKjzDRz5UGpdYssoqZr7qekViiTQc1ntoljVV6Sf2NadVy/O9bKuT16Yg3YtX7sS22H7EvzJdQA974s52B/ahTsUAjn5AixaOBE5Dj+2raQg+2EbTbXBq1mkSV64EkdiIieW9iIdbI4b3ZcaoLHBnHvjE/0ijLh3aiPdF/FfV3t99eOVddI3WD3flxHoTw+U+qoPAu+e+pm33vxvC9cK9827GPOqwtSCzu1hHrkTQMLYBdaLLMNER0o4BoyzVtvGPfFqwvrwa7slOPbXMvG05Xax8L6DNhBvI0YFyKiWi+uX7sl93ooy3S4SXZuThs0oixxQmGDPHd4wojYrL+/hVPFsXHKUpfdvR/3/9I1qBkPDPaLOpnXULsdnJbnb3MY2/GYXpbroImkttgyvFt5AhynIp9JwG9lSKzhB9ewEhFVBrG/zbhcD4UbULOcTMn3OqeVaTFblglmcYFaLvYlOi/Hl/sHmRLD1FM4vpF5g8aaw9avy5OJEFG7H8/FQJb5phiateos8UNYnnnLE3J4LbnP3w79xVZRFEVRFEXpCPTDVlEURVEURekI9MNWURRFURRF6QiuaI1tYqJBgR/pPWq9Ut9ZTzMNkkFOUutC3Ux+E/57OCu1Y4EKaleqVVkmepyJ2ZjcJXgA41YSEbksXGBjm9Tr8HBwSw3UEj40cEDU4bx09zlx7egbqIfLb/X/mye3E8ukTkolTfgXUIuXYv+eLcuYr/lTWCqxTurAuo/jZJZGsJ1aN2pwiYia7OaWQQ7H1wivE8DwmJfK1PG5vbYcu5sHMXZwPIA32p/G8Sciuq33DNiPnr1alLHqeC8eE7HdL3VWxVvwIWIxuTECDTwa3jV2RpThPHcRY6hm4nL9DkYw3nCLiQtbrtSx9YZRL51ryjVTauAe7OsviDKchRJqHUMxKbTbNYS65tM11JIFS3J8m0kudJX3bqSwTOo86scKm+UaCi8yDZ1hLdotFiuU6RqN8b4ZMy8Oi2vJa3EfZ2s4BxFDXOOLBdRh3jBwQZT54Xk8cHdunMQCKJ2+VIb5ERQNDgBPnb8WL7DHNr0LvAAWai/Ic92KsxivbB6zKfkeGppHHaZJcMjC+VJhLeoNkxek1pTHa/UM2kfxhmf3NsUn9wK4B72IHF8ed5frLk0aW5vFADeErCa7gfuAx741whxPrLZBi2mv/D5rJgzvLhajutYry/T34jmTDPtrVq2ncF+0ZOhjCsoQyoDTlOMSzuILrdYtP+9CJZyD/Ea8eajs7ycRm5LnOj9n6sP4/nWqck4CUrq9YrumGOdvh/5iqyiKoiiKonQE+mGrKIqiKIqidAT6YasoiqIoiqJ0BPphqyiKoiiKonQEV7TzmBu0LgclnjHELk+fRLsV9RcfR2fQ9gwjlNvKhNsXpKPSmsMo5C4PoCC/npF9iU8wp7Q18uYPXncQb13uBnt/ZZ2o83pxBOyjp9aIMnt2onPT4QMYKD00wiKcE5F1CB1peLBqIqL8uAx6v5ztWyfkxb2oKj8el45V7Sg6dhQ343iPrpdJM6YWMmB7s9I5xKmxoNy92G73PjkntR7mPObKuX1heh3Yf3/Dq2BHA9L5JsKihn/uqr8UZYq70Innf3vmg2C/a/1ZUcdlnipn8j2iTCSIz+2w4Ppni7JOTwK9mW7oPS/K8IQME7WMKMP5zhs7wb5ty2lRps0cC+anpXMmJzKBDjq3vOewKPP0yc14ga3x3u+b1hCOVWTekNQjj84U9STOSf+r0omjOMbOkG5RhCJs2QeZo6vJWajWxdbvNpncpHQQ53v77biu9naNizpjcdzHT57fKu9dwTl44wIm/rAdg3NeG8dhXXJRlOG5IFosJ4IjjypyKjgH7SGDU+UsOlJxf5b0OekkU16DDjr1lDwfLJ/Y8/Vu6ZQWymH/uDMZEVE7geszVMQysYtyrtsZ7G87Ju/NHcF4soV2WP5m5vA6BgczU9KG5Xjce5qI7Do7O30cxYiImr34jIMv5EWZ0np8ry/ulf0tX8BNmN48BfaZmT5RJ8nmui2PEOHsyGkvyXGYvgkbCsqpFSSmsDPJIwtvU/It3Lh0JrTZvFjMoc8NyTmpD7JNaft8n/n9+/Kiqy6pKIqiKIqiKH+H0Q9bRVEURVEUpSPQD1tFURRFURSlI7iiNbb1TIDawUuP4NSl/oLrRyp9UuvGWbwe6yTOyiGy2iwIfrfUR7osyLXD4mu3pCyXFrYYMgYwXppdB/ZgAiM5f+PiVaJOm2k+eVB/IqLXz6MOlzL4TI26HAcuDdo8MifK1NsrL7HtqRlxbamJ2pvjBmlNaT3O033Xoj6Sa0KJiHqjKDo65EmtsXUO9UMDa1AnWDwnk0U00niv4KzUpN20W+pNl5MKStHfF47cAvZXU1eLMtkjqGG2oqgD2z8t9cmca4cuimvPncLA+VMJ1KwmglJ/GHJwTpqe3G9cH7kx5q/pam3COnPVpCizeAjnJZ5lutFV/Ak/XeHpQ4jeve0Y2M/+j2vALo3JdnjiBFMikNx27FCSSaGbcTl2vB1TEHcvgM9tM92lIf+FSBZBJ+OiTGAHBqIfjqEm8TDT8RMRHfzmDuybYQ5SUroPmHTE5y7imj7nyjUeZOdtrQ/Hwdkqg8wn47gHS2WpJUyNYzs218YaziqnhnWWbpKC2tThkLi2nEjekPCgyt47dZnEIVDGZ0oYEuJw3BAuElOSBJ6gwWL6WaclB6IdZe9EQy4Afmk1v7y5MTZ2hnbtBm6e4AJu0qWrMWkCEVFlgN3dMA4202WfOsb2QVuOA98HYUOigoaPi8DCNbLd9AnsX+aMPKNrPfhuSpzFd2J9NLPyjYkotGhIHNVmg86WomPQU6+Gduyt74dVJev4EfqLraIoiqIoitIR6IetoiiKoiiK0hHoh62iKIqiKIrSEeiHraIoiqIoitIRXNHOY8tpxaQ4ObcRHy+UX4X42OKBpmWR6BwKtxP75TBypw27he22pF8C7dxiSFbAmCuj19npJzaAba1Co21yH6jY2L/kMHqm1OvSIaq9G4XnN/RIB6lnZtEJKVfFB3+iIoO2/+bWp8HO7o6JMtzZ7Ynj28H+Nzc9Kuq8YGNfDtvS4cVmYv9CBfvb2M08g4goeBz7Z0tfQtr/uavB7vvdZ8Ger0pvwtE+9CoYS0gvg3PX4M0uTLHECS9LLwTuSPNCbYMos34Ynbou5DNgBwyeH7Eg9uXbF3eJMqFTuPpi1+N97h45Jer0R3AtFppy80TYnuTOF7b0qxGcmpSOgafn0DHJjrPzISTPlNg09iUnlzhFN6HzVY2Nr2vwJXKYL4jJGSuygP0pD2MhkyMbX6/uRukcEngOB/TxG7ZhnabsTFcW+2LqL3d2c9lRyhMgEBFZrL+xGVmoPMoCxKfxwW9eK88qmx2eL7HEIERES7vRjrJ7m/a+3cIHd7JyzVT78Vpi5xLW+TO5j8vr8Vp0Wnri2UV0HuPJFuy6XBAOc0prJ+Ri5IkSnFp7xX+/1C7axmQMPAi/oR0OT0xhVeVm9yLy/bWcap9cnMG78GxKtPw/l9JRHO8492Ikoovz6HHKnY+J5BnCSZ2TdVLn8N6BJbkeAswhcuZduIaCRf9vpN4F+Q508vLMWE6rWzqkCkyOl9W31qfX8neufxP9xVZRFEVRFEXpCN7xh+0zzzxDDz74IA0PD5NlWfSNb3wD/t3zPPrUpz5Fw8PDFI1G6c4776SjR49CmXq9Th/96Eept7eX4vE4PfTQQzQx4f9rpaIoiqIoiqK8He/4w7ZcLtOePXvo85//vPHf//W//tf0R3/0R/T5z3+eXn31VRocHKR3v/vdVCy+9Z8TP/axj9HXv/51+spXvkLPPfcclUoleu9730vttk/CbEVRFEVRFEV5GyzP81Yf9ZZXtiz6+te/Tu973/uI6NKvtcPDw/Sxj32Mfu/3fo+ILv06OzAwQH/4h39IH/nIRyifz1NfXx998YtfpF/4hV8gIqKpqSkaHR2l73znO3T//ff73rdQKFA6nabrPvD/JSd4STOytMMg0FjFkzW7UZ8TnsUg0vV++bFt1/Be4UWDvuwU1nPq2BmnKtstrEUtU36z7G+wiPduJtlDGoYhuBE1irVpqXdxyvgM7SSOS3QQ9bQmXFeOw87BabDPZntEGY7HhHWbe+blvViZrhBqfIIicjrRd/czgZwjF4hVRh3Vmm2zYOe/OyTqZM6g9qcd8teF0T/CZ7q+74IoUm6hwPuG1DnfZv/01LvADn9ZBh4vrGNzfY2M9H/V8BTY9/fgf3X59PfeJ+rYDaa7k/HBiedseOA9r4I9U5NJEm5Mj4P9pbM3iDI8mH4whHNy44gc33XRRbC/+MTtoozFAs3bXOZlmOokm6ala6Qeuec1nIPiOvz3VlyuzWCRaTUNsrZGF9Zr9qNeMjK+ciKAt6O5DXV1zjnUSjd65H5zSthft1cKUBOv4xoPVJk2Nugf4L7WI8cqssTOSSbTb3TJORndMy2ucSb3Da/Yl+S4rFPPsL7skWfp+j7U1FrM1+PiE2tFnTDT6nafkBvOrrN5YUPlOXJ8RVKPoMzq4ZRQO2q5bDwN2liPtdMOG5KQ8NdZE/svEgGQIXA/74uB8no8Z6Zul++uQBmfIXb1kijDyc7L5DGcPZtkQhzOQhXf0dPHUP8fmfP/TbLnmNSk2g3uQ4TtTNzv/9E09AN578wB9o52sIwXlhpnL+D/DMsTgbRaNfrha5+hfD5PqZR8Tyznx6qxPXfuHM3MzNB99913+Vo4HKY77riDXnjhBSIieu2116jZbEKZ4eFh2rVr1+UynHq9ToVCAf6nKIqiKIqiKMv5sX7YzsxcSo86MDAA1wcGBi7/28zMDIVCIerq6nrbMpzPfOYzlE6nL/9vdNQ/TaiiKIqiKIryk8XfSFQEi/1nCM/zxDXOSmU++clPUj6fv/y/ixf9f8pXFEVRFEVRfrL4scaxHRwcJKJLv8oODb2lRZybm7v8K+7g4CA1Gg3KZrPwq+3c3BzdcsstxnbD4TCFwzKgbD1lkfOmntHwTWw3/bWOoT7UjtXbKMby4oY4f1nUqUWWpC6lEce/GVILqH9yarJdN4jt9h6S7c4+gO0EL+K4mGJFVnOoPxzYuCjKJMPY7pnjqCXLxFeOU0dElK/ICLlcU1ut+2v8ElHsC9fTEhEFbNRRdYcwZt9X37hG1Nm0Cf+LwMXFjChz757DYD9+GuN1jr4udWw8Fmd5YOWYiUREXSzm652p46LMaAA1XS9VN4oy31/A/j1+zX8G+w/X3CbqPLr/OrB/buNRUaYryDSVLManG5Y6tmBRauY42287C/Yzk/hMG7rk2vwvp27ybTf6CmrSNv4sxsN96TtMX01EB5lkzhmU+y06y+KssuVrigs7/CF8xtajMk4wFzv6aueJqJHGMY+V5GaPX8B27rt/H9iH1+O+JiIaX+w29A/5qXUnwN7fjf/VbG4//lc6IqnvdRblvuBnZ5uNbzMj+xLCEMCUMPzO4TH9vHwXyLGbfFWOjWA97gu3zbTSloyx7LGYz1ePTIkynIMXcHyDhmMzPofthmb9/SCIudS00/LMFppaU/zhIF60y2wjGHSubgQ/N1yDxtapYDsi1q1Ju8uasQzvC8/G/sYu4Pti8EUZR7ywFuu0npb+Ie1bcDHGMvie7DK8N1PMH+TlJ2W8ZH7O8CmoDvs72i8aPu/6DuGenLwTxyqYk5O97q9xzQfm/KWgXojt9ZZBG83WiOcYNNfL5nsVniuX+bH+Yrt+/XoaHBykJ5544vK1RqNBTz/99OWP1uuuu46CwSCUmZ6epiNHjrzth62iKIqiKIqi+PGOf7EtlUp0+vTpy/a5c+fo4MGD1N3dTWNjY/Sxj32MPv3pT9PmzZtp8+bN9OlPf5pisRj90i/9EhERpdNp+vVf/3X6+Mc/Tj09PdTd3U2f+MQnaPfu3XTvvff++J5MURRFURRF+YniHX/Y7tu3j+66667L9m//9m8TEdGHP/xheuSRR+h3f/d3qVqt0m/8xm9QNpulvXv30uOPP07J5FthMD772c9SIBCgD3zgA1StVumee+6hRx55hBzDT9GKoiiKoiiKshre8YftnXfeSSuFvrUsiz71qU/Rpz71qbctE4lE6OGHH6aHH374nd5eURRFURRFUYz8/5Wg4X8VbyZouPqX/hU5oUti/dIag2Ccfba7AfmoPKB29s4a2PaUdAYI5fBemdMGITcTuYcKWMYUeDy8hEGvy8PSYa7WxYLrR7CdtqxCG997BuxEUDpAnc71gr2YQzH9QLe/YLxscAwrltA5oV3HX+XXjcrkC+ffYEkQuhqizB1b0DmoO4jOAPuXZEi4ewZOiGt+xGy892OzO0SZMwfXgO1G5DrrPriynL1yv0yS8I0b/gPYjiHjyJ/n9oL9345i8oJv3/rvVrwvEdH/fuFnxLXXjqLD00dve9K3nX//HUyuktouHcFGU+hscSGfATt/ViaUiI7h2IQfk8G5eTIIntzEMmzRrmM4npV+wxyxbdpivjamYPv3bjwJtm2Ytx8+ig58PLFCa9jgpFjBAy2Ql/+Fq9WFzjd/fNdfgH2iLhOM5FvoMPvM7CZR5p5B3Dt/+d/vBLvrpBzgUBGdQ5oJkxcSmg1WphmX5yTrLgUqoggVbkEHnd7H8RznCRuIZLKC/Bbp8BLOYv8i1/gH7b9jzWmwL5TlGj8+h853tRIe5LFjhoOd0X9AnpPhOcPgLIMnQCAicqPo+GMKpO+xAPx2DZ2S7KpMxkEtvJdwMCIiN4bXeMIGE3bZkAlGtLuy03Jho3Qey29kz3hDTpT5+5swwcwXjqCfUDIhncdstqRDAemBulREZ9jWOdk/TrDAkhadlOu3zYY8u519y+DRRURE6TPsGbhDHxEF8qyMTxQsIkNyENuwzpa102rX6QeH/n9/+wkaFEVRFEVRFOV/FfphqyiKoiiKonQE+mGrKIqiKIqidAQ/1gQNf9uESi4Fgpd0JO6c/EZvh1HD0UhK3UetD+3eJ1CLtXCt1JO4IWxnaYfUukWYdLQ0zAJEz0r9S4hpZEz6ovRZ1FEV1qN2qIZSWSIiOv406iU3vOu8KDOcQO3j3DkMRj1nS41PICCfgdPbhfrI7d2zYI8XDcHh06jPSqelTmxjDAc47aDG51hgUNR5cgaTGfza2HPy3oyFFmp5/sGa50WZ11mw+q8cvl6U8ayVNXLVBSn6e6KM/R0M5EWZvzqFiSj+4W7s3/9x8aEV70tENFM26JVsXHz7C2O+7dx+Oya32Js+K8ocLGE7h/evB5snKiAiCj6VBjucl+vObvGA/LgnDTHbKbuNBSe/KifKeC9n2H3w38OvyX3x8lM4J9ndsr9xtrebTBu7e60M4n98uh/bOCLvvfamC2BnHNw7w8GcqHND9BzYtydkspCLTZZoZSOeQ5ElqZes9uKZZxmOi3qGzUFZluGEszh4jpSWUtfTeI5XBlmiDUMAHq7TTp+S75RqP947FsabN1rylXqygPO2KSn9CjZvxGvPzbKkHvI4o9Bn8exsxWR/w4ZECcvhSROISCRx4HpaIiKPCUW5Vteky7WYxtaqy4kTMkvefUO7q9Fz8v61uebW0IR7Db67foXpaYmIpht4NrVZwo5CUZ7ru9dMgn3gjOFsZb4osY3+Pi6tFtYpNPx1uSHWbH6TyT8E/Y7EnBBRK4POB4E81hF6WhOmJA7L5tt6B+5g+outoiiKoiiK0hHoh62iKIqiKIrSEeiHraIoiqIoitIR6IetoiiKoiiK0hFc0c5jC7ttciKXvs2bSSks7t2PdnlYthFeWtnBLHHe4MxSYPcy6KJTF9ABqrBWOldw5q9CAXZiWgbPLo6h6N1huu7ojOxMfhu2E3Fk8OzXL2KSAbvCAqU7MlGFIQS3oJXBdl4srcN/v4iBqImIvBiKyEfWSaepRw7fDLbbxuce6s+JOosFvNeFQYOnHeOuxBtgfy0rHcNKLCtGb49MtuC1VnYeCxSkN8uJCnqMvKv3lCjzD7e9APaaECZFSHevHKCdiOj/flE6mNkOrvGT2T5RhjM/mQH74JDccEuz6KgWaOK89R2QDgQ8cYLVlnu9GWVlmJNXUMZJl/c5nRbXksy5wjIEJ+cEK1gmdfKdpwo/elEmUvj9678N9o69k6LMB7/9m2B/3rkH7Pf37xN1gmywCq7c6zvDeK9H7/oTsP/tVkzOQUR0dN7g8cTgv6yUKrhP2lm5b9LHcDxNTiXNGK6rejeWaWbk2RrMYbtOzZAcYhMupHwFz2zuTEZEtFDBc8fkPBZkGURK3/Ufu+AoPlP/s7JdkQ2AO1qZHK/YNattckDDmfOCzoo2EZHD963BeYzf24v6f6J4or+GbCx8jbBxWdgjx2HkC7gPHtn7blHm/odeAftXdr8M9uPT6ABMRDRVwnNmYEC+37LM6Yw7pTXmDRlG2GO3++S+WPNDmQxiObETC+Jaqx/P7Fq/f7KQeAW/DvgcGTEck174rYtua+W+L0d/sVUURVEURVE6Av2wVRRFURRFUToC/bBVFEVRFEVROoIrWmPb6GmTHb0kLAllpUCjsAF1HbZBFCqCe3P5rEHW0WL6reSk1PRkN4XEteW4GXmt3oV26oLUyJTW4L3bO0pgx5+RQZntBtZ5/ZWNokywgH/jJNm9F682BOnmci2D/LBZwXHoY3qiAuY2ICKiqwZnwDYFsLYKqFmOj6EY8oFh1MYSER2Mo474v5+9RpQZSOJ4JpiIeU8cA+ATEY0Es2DfmDwnyvzrjT8LdmMQF+MvXotaLSKiGxOY4KDiSp32QhPn+5X8OrBPLvprY1Nbl8S1wilcjAvnWCINw1xzFVXtRalhDjItfLMfx6FlCBifGscy9YypDM5TuIhj5RoChC/swTUdMOhwXSYnS15AveHSNnnu1HrwXl2npEYxuwXvPTCaFWU4m0O4L5qevPdDN78G9o4YJnr4ysyNos6/HP0W2EVLnmev13GjnqoOgD0SzYk658K4ZupNOW/5M7jOtl6N++ukh/chIsrfyHSYFf/X2Mg61A5my1FRpkKohXVLhiQDF5mmdhdmlGi1/X8rSgVq4toPZjb71uMEariXWt3SX8Gu4QuMJyowYefxmdyQTOBiuSu3Y7pPK8W121LLHZzGfeAFcI23e5PyXlzva+oP0906RZyDdX8ta03djuPJ/VmIiPbN47tpexcmIBpN5gy9QRZrct5KNTx4yrNYhr/TTdfiE7KM1VrZR6B4Vb+4ZjexjumbSNyngYW8qHx3uSH/fesu09i2DclP3g79xVZRFEVRFEXpCPTDVlEURVEURekI9MNWURRFURRF6QiuaI0thdxL/yMiZxU6q/iM1Jc0MqhDcVl4uOisrNOK+8dks5mWhcvhTDF1uQaYt0FElDnN9HqnscOLV8k6oXWoG03FDGIhzk1oBvZLrWZ0FsehPCrvHYijiDlfQo1asyq1N5UW6nIz3WVRJu+sHOfvfLVH1Dk+j3q9O0dPizKDYdQA8/iShytSFFyLYn83hmZFmfU3M+3gUdT7DoVkLMP//dD7wK4uSl3gu646Afar59aC7bXk367O3Mr6byIiGsE1EgzgOFjHpZab031M6ux4HNj8Ot4XqUflcWudhlxn9R5cR04V25n8kOxL4Dxq/NqGYek+iu3wmLq2QWoYn2Tax4hB68bqBWy8z08NHxV12ux3iIwt9/FPpQ+Bva+yAezrM1Ij/p3iVWBXXDkQ26Oo1eX74rsXdog6uSnUZkZ6pYi5ezPqu+fLuK68eRkzM1jG8QwW/M/j9losEwtLh4sKi91simPrstdM9jDqyLt2yzigu3umwU4axJqJIJ6T0xtxfFOnpZ6ar6FmSp6lrUFc406drec++d4MVnDeMi/JeMluF86TG8M1w7W9RESlMTy/Mq8vijJeiGnj49h/UzxUi6lqvaDh97qAz294hiXUfcJfTDrThe+Uex7A83ix4X9OjkRy4tq6BO6LYzGpNefkWEzl8qgpdr4h/u0ygiV5tvJvl9S4jD8cWsQ17YbZvQ2hkO1V6L2Xxxu2W6Z4ym9TbdUlFUVRFEVRFOXvMPphqyiKoiiKonQE+mGrKIqiKIqidAT6YasoiqIoiqJ0BFe081hoLkh25JJI2ZQcoBVnSQauk2LlzFEcglof1omh7v/SfQtYJrdRCvu7TqHwvBHHvyHqGfk3RXx65eDJRETdT2Hw//q2EWwDfTyIiOjsz2Fw59GdOVHGYc4rF7IYOH1gnxy7xe04du2w7H97BsXqyXF87uaeuqhz4gQ+U6hbOlsEwzi+63pQbP/kIenMkuxHJ7pCSzqm3JXGASy66LzwwykZSD02imL653KbRJn3DKAz0M09OI8DwZyoM9KFDmWn8zKg+bNvbAH77p3HwX7qjW2ijjvEhP4l6WTw4NYjYL84sx7sclM6RSQu4vzXuuQaD1aYowc7gbhzFhFRZRDnyeTgwPFs3JO3bjwpyuw/vAvs5IJh/YZYQpQw2tHbpLMQd3GoPS0TVdT6sdTPrEGnr5gtHTTGG9hOxqmIMvzaQJA7Q0qHmBRzZopYhkw2jI2RObD/t62Gg2crmiFD4ocyy4DxpYm9YCd2ygP41j5MXPK1R98lyvAEM/NL6BDlNuU6s6M4Ns1R2d/wWdyDfDhNSSjWRDHpwHQjLcqUm+h81X2I9c/wgptjuTa6X5f7mO8v12HOj4apTp3EZDfUkmvGLqIjoMeC7bcNAflTZ/D89biDERFZVbbumdOXZ0i04lpYhjuoEhmSNvAyhiMlnPXfB8E8PveX37ge7F/f9YJvG3MNmXQixbLF2Gz+yw05duEgS3ZjcBxu351bsS+NfRlxLYjTRoGyXA88IYdIyGBy/DI4AnKWJ4HiCaFWQn+xVRRFURRFUToC/bBVFEVRFEVROgL9sFUURVEURVE6AsvzPH/B2t8xCoUCpdNpuvndf0CB4CXNU61b6lwLG/C7PWbQsBY2sgtMxxGZk8KO/gOoSfNsWSZQRK3Q0k7/QM1938KEAc0da0SZSv/KwfXLQ3IcuKRr5M6LosxQDLV4h2ZR51qYkTogq4HPHb8o780JFnEOsjcYdEw2lgnMyme21qKWsM30RFyDS0T04CamG51bL8oMxlFftjuF2sFxQ+IHTtSRz3RjEnWBuTZqjwcDMkHDJ5//ebBD06aA24jH/lRtR+Saj8xjodDeJVEmfx4XjRfCdlLHpJawiTJGCsi8GhSfWTnI9uJDUjfazDJdY+Od/z3uRQ3BwIPYl7GvGvZOCu818BHURh/ZJ9dQbMq/f4EyjmeI6YZnb5Pj9Inbvwt2X6AgynAda5svCANNFoGdr00iogrTwoaZOLPHYUI8AzzBBBGRwxTJBReDzGdb6B9ARLQ2hLrm+VZKlPnjg3eDHTyF7ToyVwQl78TEKjMXu2UZptMvTuG5+Is3vyQbZhRaMtHK0xP4Ikr8lXwmzsztOHZdB+X6bSbxjObS+OHnpZY7emzG995eCueFJ2hYDSa9rFNEnws35O8G5EZZGZN206C7hSpt/+D/TlmO1dzNuEby0r1C8Pfufx7sOs/6QUTPz2JilQrT1Lqu3EsDqSLYM9+X3w+OfAT8d8O+qLHcTH2H/BNXxMeZnjoo16Zd8ekM4Rpptev01JF/Q/l8nlKplfeH/mKrKIqiKIqidAT6YasoiqIoiqJ0BPphqyiKoiiKonQE+mGrKIqiKIqidARXdIKG/MYgOT8K8mzykcicREF4JCtFz5UBFL07LF/AyJ8elA27TGhuG27OBOy9R1YRVJ7Z2U0yID8nPovOIk3pa0HpW9ApIvcXUlQ+0zMKdv06FH87KSn0Dh1FJ5P6tQZvIUapwMY7Ip16ogfQucIURLzGHFyuuf0U2Ofz0vGD88Xtfy6uzTMnmZkWOlFdExsXdb4yh0Hl6225rf6fk3dhO/2TYB+10FmPiGjnBlamMSrKUAjXolVBkf6N1+C4EBGdzaED3PzFLlHG7sL5HuhFR6X2qFzz1QLOSWNSOsnUe3BfBMpotxZlHR6bPpST97Z2oOMEdyaMviI3RnUAG24k5R4Nfhj3zs3d6AR4ci3zrCAi5ww6NoQL0jHFqTMHyRramdcNDiW70TPlnu5jogwnwjYPd9YiImow5zFT4ofuAJ4H3Jms5knHRp7ogSdjICIqtfGM4wkl4iGZwMW28BmGg1lR5oM794H97RcwiUMkK8ch9/IA2F3XLooy+Tyu8Z++ARNrjIVlHU4lKMfhBy7O7eIu/2j0VgvL5HbJZ4qP49zyvB+z10mnr9FFPPPsmnxvcscvETzf4FDNHbisttxvrRSuB+5M1uiX+9ips+QApqFj/eVnCk/oQiSdxdpJOW/c6bP7Df95+3LmJrDvveaoKLO7BxOTZBt4Lh54TXqpXWjgufPQ+6Uj47e+s1dcW05jsyGJ1RE8i1yD05+AfSNZDUPSDJZ8wyrLRExW+K31aVovb4f+YqsoiqIoiqJ0BPphqyiKoiiKonQE+mGrKIqiKIqidARXdIKGe7Z9nALOJd1LYbvUCXIdkN2Ujzp/NWprUuewTO+3MWkCERG1mOaoLXUp7RLTm7pYxgpLvU71vj1gB0tS2xTIoeaolcZ2imOy3aVdaKel7JJYXHeqd+HYlcakfstmCRp6Xpftzt2CDQeK/kkcVkMS4+RTfivO2y/eiUGwiYh+pQs1R1/O3eB7n13RCbAX2zLRxmqC03959kawNyYwyPxVMZk0Y6qZAbvSlnM7FMqBzTWLMVtqFL81dxXY00WZfKNwDHW4667DcfjVNS+IOv/54q1glxtSvze3gDowr4L6rU1floLqpa34TPktch/fd8dBsF/6wjVgpy7IvVRcg/fme4BIal8Xd+OajywakrOwIOeJKdlwM4r1nAbX+8rfHMpDTI9s0ARzgptRG/1bO34gysTZGmkbRYoITwRh2he8XRPFNmoHgxbOU9GVfgZ9gaK4xuH6Xq4j/oNXH/Rto+sZee/gz82B/U/XP+3bTpwLWw08W9wC9pPnt4JtvcSy7BBRrZfNvyHHQHRbDmzvOXxPDrwmdY2BEtuDhk8Eq4U34wH43YDJ70ReErBb2Q1cD820v9+J3TQMBHsGrrE1wTW2XBNKROTMoyb81D+V/iuc99yL+u+Zmn8yjlrbPzlPTxi/OXYnJkWZC3V/3xPOs3+G78nUuDyjo2cxyY8XXkXCjlX8rLp8nbXadfr+8X+rCRoURVEURVGUnxz0w1ZRFEVRFEXpCPTDVlEURVEURekIrug4tt7kDHnWJS1HqmnQ0O3CGJORBal12vDfUK/lnUctoRf017bQRhlf1GXa1+CR8/jvBanLjD+H4tfKTTJWXWMM4/iFl5iWLCmFTDz+W7XXX+zU8waOZ99BqRPMr0MdTWVItjv8FLvGxE359fJvK1PcWk6TyUJtJhX7i5duFnVmr0FdzmeGH/e9T57FXpxh8XOJiP7T3B2+7SxUUYN4ZHoI7BMDGEOTiOhcFvVQ3XEZX/RnhjGO5lIL18exOt6HSMbZzZ6X+vRwCeft9Clspz0i5zpXRf3bvWtOijJfzV0Ntp1Dbd6Zn5fteiFce3df/YYos/+Psd3UEq7fWpfUdgfLOLflIbkWg5NYpucw2uG83Be1brxXYa28tyne9HJMet/IIuuvQW4YzrLxm0Nt5mfyPyXq3LnjBNi3GUT4XPu6mti3XKtb86Tubmt4CuwlptVtG357aXi4fqcbGVGm4uK91oQw1u3tmw2+E4ynl3bKiyfxnZLZJJ+bMxLIgf1abZ0ok2bC7PI8njMRGd6ZWklcJCPrF0SZxZcGsR2m/+Zx3ImIUgWmjTZJVpnelGtqLYMu1zPFe2c4FXxHuxGc63bUvw2jxpbHXuVlTJpbFovVLsrvBy+C7/nN/wHX8+It8vx95fB1YNc/kBNlAo7hGZZ3zdDfIuvLsSX5TtnZPbNiu08d2Sau9bBPK88Qo9hN43ptprAvpnlzqis/IxFRMP/Wi91t+5d/E/3FVlEURVEURekI9MNWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekIrmznsWqNvB95WXjjE+Lf4+cu4AVLfsd7IeYcxgXuhuQLnOl3ZeS9Z1HonMr2432X0JmBiGjxQSbcNgjEw0Xsz8Ie9CpIn5OeV5Esd16RDUcXUCEeKDNnkbR0ouPOYp5hNVV7cTybcazTTMm+2HXmdDIkHQM5wTw+o5OU43CxnAF7nyFY9YYgBpr+wtJtYEcMnm2/OfB93/79aEtdLgAAnP5JREFU9zAmaMhlcN7Ol/wDZ9uGqOIXa1jv7jQ6Vv11AxMVEBFd243JIMaul2vx0H/aDXZ8Csf3j45+QNS5/9cwacNSQ3pI7RhB54XAGlzP2bp0zlv87gjYp763Q5Rx02zNMAcuk2OYe1NeXOPE/gQ9tJoJbDe8JJMQhPJ4r8qg9PyJzfKEDCwhyh4ZOL9awj3oOXI9uGHsXzvKHC7a0vHj2bMbwd68a06UGQjiWHFnMm5fusb65so5qHjoZJJ00LvJtqTDSM3FcUgHpANXhSUHabPsALbhDPzhqc1gW91ybu/egg6RPFHFhSYmNiEiOt9Ah7Oa4aCcbzBvWDZPEekXRu0ozvXii4OijMeGnA0dBQwOPFadJRNaxTvQSxu823i7zPmHOzUTyUQPrRjrsOGdaDewXTdkcEgWZdj7oibXr9Vkz+0axoo7NFVx32aO+ycTOXNMOu86fjk9tknn81Ybn2l3/7Qo8/yF9Ss2u+XPTElV8JplcM7zwisnXqr0yjUfKvk7g7mht94Hrebqf4fVX2wVRVEURVGUjkA/bBVFURRFUZSOQD9sFUVRFEVRlI7gytbYtlrkWZe0SFZAPooziAGKvXRClLHKqOlqT6IGsH2LIUg3w25K4c/CbqY/tTNYYMdeUaf0MwXfexUPplf8d3dCaugaCbzWc0Rq0kpjqJHymCamPCj/BuLStsqwSTOD9RwmHbSbsr9dJ7CdxqTU7+S3os21ZKE3pObrRB61mv/09K+IMiNji2A/OHIY7AMFmYxjbTfqbouG6NnXxDBBR9lFbeE1CaYHJ6Jta1Ej9ejSDaLMS/PrwH5tcQzsh4ZfF3WaLLj+ZDUj7/1rx8B+/ijqDxMnpeb6r565CWyTRnHdEI7vQgl1uK2Xpd4ssYDjGSz4a/7CLBlLeUhqd61XVt5LRESehc8QKqAWzxSsvMqC3pv2RaCECzY5gWWCJVwfRETRJSwz9S65J7kk1YviWNkleU62W/gM56q9ogzX2Jq05n7EbLkeZpo4B8NBqffmOExrHjRks6i7+Jx8zc/WmKaViB7YJhN/cLbG8P0w18J2IpYUR/YEUQ95viHH9/YUJsk4sQV9Mi6U8Owy0cjIdRZexDXSYttgabtcD61IBuzMETknVhXn0mFydc+RZzbXz/rpMolkogeulSUyJIsw5B+y2JnMdaImva8bwX3s5MuyYda/8rV4/roh/2RIrbRcvy2falZNnr/1HPoDvFiSelqX6fR7X8E5uPhu//7Gp+VYxebxGeJn2XlxlmUGMdBYK/Xpte635qAVUI2toiiKoiiK8hOGftgqiqIoiqIoHYF+2CqKoiiKoigdgX7YKoqiKIqiKB3BFe08Zu3ZTpZzycnCJERvsGutiEmszsT/Kaau948hbHQgSZ1FgfUs+tXQyA9lw+5hdKQIXm1wpLgOr3nPo7ONIU46JaZQ2D19iwycX+vD/vYdQLvWLwXj4QV87rVXT4kyswUc38oEOvClTss5qXVju6GC4d5L+DdZeS0+eEv6hojg3nZZ3nvmKDpt/IdTd4MdXyMDbn+zGwPcx01OMi2c27lGCuyr4+hcRkQ03kQnE+64QkT03eOYrODBHejslm9LJ7pKG50iXp8bEmWKMziA4W4U/8fvkmuzcgL7G0vIcZgr4vzzIOKnb5ML2PkiOhVwRxAionAWnZnsBq75RkbWGX0S+1ftlQ4ZdgvruQFcm+0EjuWl/qEdysrfD4rrsd04S9gQycr+NhLYjiEvAQmfrgbW4clPiIg89kzT1ZQoE8/gWLnMW9OUSKHJEhG0PXnvvgDuJ57w4GwD9yMRUcTChzQ5j22OzoL9emkN2FdnZEKfmI2OX3NNeYhMNPC8rQRw/ndFMfkJEdFkE5OodAdkcP1cG9878SD2pZXyd5h0ivI849PSiuK6chpyTpLncWFZFZksRMCTLxj2KHces1pyzbQjbM2wZAumdy1fv059FS9tx99JijuumRI08IROkTk8J+evNb2I+I3k3JoSDPnhhrEdtyjPM4udB9V+HIfqqDx/Ayz5kWtIFhIqYH+bvbieg03Dh4nF3vMXlkQRp/DW+6LVNiWPMKO/2CqKoiiKoigdgX7YKoqiKIqiKB2BftgqiqIoiqIoHcEVrbEtbEmQE7wUlDg+LQNjcw1PZFJqm0SdNupUgguyTrMHNarhvNTeLFyLtssCpWc3Sf1LbQ0+Q23KX59jrWX9Neis8ltYQPOS1D8FKqh3mbsey2QwfjgRETGpJtVbcjkNpFBDd45QYxmblWPHNbbFn5O61sYZ1AGG5/2DfbtcDimHga69HR/05GIf2D1xKWx8Lo/JC65PjYsy3Q6uo5/qPgr25+buEXVO5KW+kBNhiSiuvgETPfD7EhG9Ut4ornHsKv7NG/8+ztviRpnsxM2gjqpsWL+3XXtMXFuOZ9BhlkawLwapMTll1HhV1qDGK7IzJ+rMs9wr0b+Selmu1a13YRB0Nyj7yxO2pE/LNZ7dzvbb30NtXur7UgffDmMdk8aWy/ViE7gnW3vkenAncaxmS3LevrO0G+y7u46DHSGpCZxqZsAeCORFmTLblG3CZ+R6WiKZ6GGpLdcipy+Ez70mJPV8nIo4MCS9TCPc5pliiChl49wuGvo7XkN9+vksanlNmsurx1DP+8b3togylU34TgnM43snhhJ3IiJymW+Km5Q6favmowE16VFZgP1WQr4DhabW8dfPequQo3pMz9mKcb2vfBnY7Bm8WESUoQbT9ldwvAeenhdV8ntwroefkmumnsR75e721zlbNtNP5+U7sc001q0Y2omz8h1eHmWHimGNV/pX3ivpSTlvFtNltwZWTpjjtTRBg6IoiqIoivIThn7YKoqiKIqiKB2BftgqiqIoiqIoHcEVrbGNT9Qo8KMn8ILyG51fs+pShyvqxMK+ZZwq6mpCZakvaWdQP8K1TYYQieRksUx4yT/WnsdlNJbUCoXy/n+/1HtQRxNexIY9Q7uVIbx2bWZOtuviEqttQXvaQQ0rEVGgh8VRPC7jarpMG+SNoO7OMvSXLkqtGKc7hPf+9I5vgG3S/DXYJPCYtSYqbFxmqnJBzJekzpKTuQMFp3/w1PvAfvDGA6JOuYVrfEOX1BtOBnA9lEdxjbtVQ4zEPJYZfFau330zu8Buhw3zxLj/F18F+1trrxVlNn8J5yV2sQy286cGTTDTxwbKcm7zm1B/arXZujPEwwwzHaDdkmUi8yx+5Ea0mwlZp8lCbIu9T0TVIUO8yOXk5fl23Q2nwb6t+7Qow2PFci1pgwwxoeu4D5K21AnydkNee8V/JyJy2N426chfKm4CewsTZkdEwF+ieRb8umkaYNEXnGsej9ZYxxAc/dGD14Ft5/F8SG+UcaOPzmD8ac+wl8ITuE/bm1DvW63LM3HBYtc8WSY5ufI6S5yU/bXzTBQel+ck19C6THPrGt7zTp2tTUNMe5dvJ9YM19ITkYiz6oYNZ14I58lq4LiYvjnSRw3x6RkX3ouxu3lI3c3D8l174tQw2G6XnKMtm1BUffIsriFTpFge+zY5Ids1+Rosp7KlV1yLTqA+3WrKOWhm3tIat1r+sZzfRH+xVRRFURRFUToC/bBVFEVRFEVROgL9sFUURVEURVE6Av2wVRRFURRFUTqCK9p5rDoQpkDwkjNEbFI6JvAAwOVtUsAcma2Ka8spbPJ34HHqUrQ/8h0UsE++G4XPrYB0IODOY47J143dKmEIfMxppFHYHcrJ/kZn8W8cHmQ+YHrGZ1BE/lTPDlHmzmswIH9PFB0IktsnRJ1YAB/8RFAmKmjM4bzEIljHFOi/MYpzHd0vHT2WGnjNZo4ex+soticiqnk4bx9OvSHK5Fiw7xdqa8EO2HIe7x87Lq5xlho4Dgs96CT1yhzeh4jo/hGckzVR6cxQbeEz9cXRQafUkE5IF1mQ+WqvdLZwmHdCZEEUEby2MAq2JTxBiMjGaxZzQqn0y6MuuoDr1+RAEs7jtUov7mvTHm3GuMOL7G9yEtutjuO6axicS3lChpbBtyk6tfKRnrhZBoy/IXMebJPDFr8220THn+6AdODaHJ0F+1R1QJQZCefA7gsUwDY5eRXaGLy+6clnDrD+nq2ik+qGqByHvoBMBMMpsXufq2O7MVsuiISD76Zvz+4WZYIxrOeMoyNmdko6Wl238yzYr5XkXo+Ms306gY5gdl2uzdg87p1aRpYJlFfvyPMmXoidB/6+0cSPcZM/XyuCF4Ml6dzUSOO9+Z40OaXxBE/8jLnUITTdEDsf2ob3M3OCyl0tv0ta7NUUPIPzluuWDn0Do3iO50qyzLn5brB3b7koyvhxam6DuNZzBJ8pfWBWlOFUN+Fzh7LSdS2Ye2vvWG2Ta5sZ/cVWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekIrmiNbXSuQYHApW/z3Bapl0xOoG4pvCg1GnZNarjg333inRMRtSIGDRLTpMb7y6IMp8aCcleGpa41dQrvVTfon0SdcdT5NKP+dXj/TTri0hDTTIXkWP7w6Fawb93Ogr9LGSadzKJurVqSes7EIGr6qlXUpLVLBn1nYuW5JiJ6Yx51gN8IYeD0YaYJJCK6PYFa2P0GgeShKurfHjm9F+y9QxdEnXenjoBt0htynn4OEyDMhaXOarFPJivgcC2WexG1vPHNOVnJwTUSzkl9WTuCf0s34/5rsf7MINgjb8hNWRrF58xuxWfke4CIyG4wLWGfXGehAt6rtg33aGTJkBBlEa9VUobzgUn7nSorY/jJod7rn8yimUGtW3QS+1t+XiZEaY6iLjBuy3Oy5uJ+mmmkVrSJiG5LnQR7b1LqcCcaGIj+j8/fC/bNvedEnWtiqAn+5qLU9m+Lo8YvyA5yU1KHmodnyIIhi07LxYnhGmGT1rjBNMD5ekSU6c9gvelufJ9t2Twl6hQb2E4gLHWv/MiIT+A6Cxv8LQJV3BfJkiHxw9zK7zM3LvdSO45ryDNoVnnCE17Gs2Qdm/kviGwGRBSdxv62o9gXoaclIi+I+8KUQMDgygE0V3HWRhfkuT7yDNq5j6H+u9mWB0S9ic8UMPjxBB18Bpc9wNUZ6fPyF6/cBHb3jOFbYNhhNiaLGPmGfL9Fj2HSFM+QAGN5wiyrrQkaFEVRFEVRlJ8w9MNWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekIrmjnsfKaMDk/StDgNKWgee46FLAPviDFx20mcnfDKII2OYZximP+ZZwXZYBtUSaFz5AwxE6Oz60soA5UpGB87lp0imjF/J1QggX8myd5UbabQ78wununf0KBG1LoDPJyQQZ7vmlgHOyzcRnAeqGCzkzlInPIMATxTz+NDka1blGE7hjB/v3fQ6ji/++lNaLOcyUcCMeSYxVmXhx9CXRm2DeDSQiIiM4W0bHmd9Y9JjvM+Mh7ngD7Px65VZR5fmo92KOZnCjTLOOasZljWLUmhf7Jo1inMiiKUGwWx2ZpJ85TZF7OG4tvT8U18thKn8HxDS/hPnYD/o4qpr1e7cVn4k5ogZohADtrJj4r92xpCPvXTOL4htbLZAHWCXRmMgWr712TwwtsudYNWR24Y5gpQcNsG8+vriBmiwhb0qEvY2OZx/IyMcHdaUxmMsyCzNuGvVR0ca8/f2ajKJPYio7D61lCBtfwm84z2S1gN1w5Vpvi2A7f1zyhi4kPjb0srvFED98s4Pl2YanLt93oPulALRKiZLF/JuenUA6fKbgoHcVc5uhj13C8WynpIEdtXOOmsWpbOC8Oq2NKpBCosfVqcDDjzmKBkin7EavjvPPf/XiCBv49YcKuy/22tAPfVY7t/86OhfGZvrTrEVHmE+M/D/Y8e48e5AcGEdkVfIZGUo5v6sLK696LGdYDhzsBEuFcGub17dBfbBVFURRFUZSO4B1/2D7zzDP04IMP0vDwMFmWRd/4xjcu/1uz2aTf+73fo927d1M8Hqfh4WH6lV/5FZqawlAl9XqdPvrRj1Jvby/F43F66KGHaGJChplQFEVRFEVRlNXyjj9sy+Uy7dmzhz7/+c+Lf6tUKrR//376/d//fdq/fz997Wtfo5MnT9JDDz0E5T72sY/R17/+dfrKV75Czz33HJVKJXrve99L7XcQp0xRFEVRFEVRlvOONbYPPPAAPfDAA8Z/S6fT9MQTqPF7+OGH6cYbb6QLFy7Q2NgY5fN5+sIXvkBf/OIX6d57LwXj/tKXvkSjo6P05JNP0v3337/qvtRTFjmht9ddJJnuo5mWukC7jmUqg1jGafhrW5yGv/aj1uffDpep1Xpku4UNqHcJ57CMa5hRrsWr98s/IIJMk9h1yj8zxdq902BnmO6OiCjXRN0X15JtjKFmzUQqUxPXXmyhTrS/twD23LwMGF/txcFxQ6IIlVp4caKNerNXilIT/NG+p8D+VklqCf/06LvA7kriWGViLGI/EZUb2Jcn8jtFmcFwXlxbzp/d8CVx7ZMnfxbsYsOQmCCBeq1mDddHe8ag52PTZIhvT6U1+Ld0gC2Z2JzUWXHta3GdbLewCfvnBXCNO2X5N3y1j2nP46IIdb+B/QmWsN1A1RS0Hfs7/RuGhAcVvHc8iYPXMmhhGz14r9CCLLM4vrIW85/dJXXadaaxLbtyPXAd7kQV78O180REFQ/beRdL2EBEFLdwnSWDcq9zvpe/CuxNQ/IM4YlU8i1cr4cKUtMeZkkc4gE5b4tNXCT9ITx3Flry3IkZEl5whkI5sH9641Gwp2vSR+N8kc31fVILa/8ZnreNuP9vWU4VzzyupyUiogC240aYJt+Q8KAdZeev4//e5Np4z9D9RoolW2jLd22wiHPbjrFnMr2eeXIIw++AThnnNjCP68FNGw4VBtflEhHF5nH8Jk/3iDJ+/Meh28S1NybR8eFntx3ybed4G5MLlUfl3EYWcax6D+B7qd0l3xccN7iyHrm1imRZb/I3rrHN5/NkWRZlMhkiInrttdeo2WzSfffdd7nM8PAw7dq1i1544QVjG/V6nQqFAvxPURRFURRFUZbzN/phW6vV6J//839Ov/RLv0Sp1KW/ZGdmZigUClFXF/61OTAwQDMzM6Zm6DOf+Qyl0+nL/xsdlX9tK4qiKIqiKD/Z/I192DabTfrgBz9IruvSn/zJn/iW9zyPrLcJ5/DJT36S8vn85f9dvGiIg6UoiqIoiqL8RPM3Ese22WzSBz7wATp37hw99dRTl3+tJSIaHBykRqNB2WwWfrWdm5ujW265xdheOBymcFjqvgaeXqCAc+l6fo+Mdcoxxb/kiHCM8rbUZpq/gJQ2UTPBmmEalMqY1ObFLqDGJChDWRKTjon7xOalWKgdxXu3DbH1uEZm5iYsM/qkjPvnfrof7K//Sp8o09NTAvtXN7wI9rHysKjDWWpIfc5IPAf22RbOv1eVc10bxjH/N+/+smw3gHE0n61gjMzvHtol6uS2Y8zB9/QcFmXqS1imEsKFZlty3vrjOHZHcnKsTgX6xbXlJPukZvGGvgtgny3JvROPonYstB7FsAtZKaBtzuAzdp2Qa3xhN66rKFuvkayss7idxczcKjfGUBI3YbmOmr/Scak9rQyhViwyL//Ob/K9w3RgYYNOcOZGLLO+W/6XqLkQbtzsJIsTOyK10xu3LYB97KIMFPyhq14R15YzXpNz3cWEzvl2VJQ5VcZ1VmhiXMqaJ3WYcwa9Kac7jGvcZSJKU7s3JU6D3RssiTJ/dfEasPf2nweb62mJiNZEce9nm/Lc4fF7s0yYfaok92N3COtsiEpNcJsFP/7rE6gjjkTl+Vtawv6Fk1LLO8Diu8dnUT9b7ZHnpMe0pSa9rNDHOkzjbogBy9t1Q6v4XY1vL39XFRGfmoioHcX+OcylwW7Kc8dlOmLL4G/jhXD82j14Lto5+XHQ6sN9MX+t1OE6dRbXmvnSNNb5a9FfmFsvrv3Wnh+A/cXxG8HOl+Ted3tx7UXici1Wp/GZuIa5kZYOLcGSv2g2dOGtM892/bXql8uuuuQqefOj9tSpU/Tkk09STw+Knq+77joKBoPgZDY9PU1Hjhx52w9bRVEURVEURfHjHf9iWyqV6PTpt/5iPnfuHB08eJC6u7tpeHiY3v/+99P+/fvpW9/6FrXb7cu62e7ubgqFQpROp+nXf/3X6eMf/zj19PRQd3c3feITn6Ddu3dfjpKgKIqiKIqiKO+Ud/xhu2/fPrrrrrsu27/9279NREQf/vCH6VOf+hT99V//NRERXX311VDvBz/4Ad15551ERPTZz36WAoEAfeADH6BqtUr33HMPPfLII+Q4/unnFEVRFEVRFMXEO/6wvfPOO8nz3l7ostK/vUkkEqGHH36YHn744Xd6e0VRFEVRFEUx8jfiPPa3RrtNRJdE36G8FCIXR1HAnD7XFGU4E3cZglEzWqlVZEhrseDOYRTgdx2Sv06XxvCPAu70RUQUmcNroQLWMSUdKK7FMuENMg5w+Fso/q53479P32TwomM4s/KPmuggOmScraKDmSmpA2ehIcX1OeZQNhjHZyoOyv5u7Ebnm5mWDHr+/fwOsJ+dwIQMTlauj1de2IYXDFJxK4rrsziB4712Nzq3EBHVW7g98/WIKPPRNT8Q15bzfGGzuNZ0ce1tSkpnlmMT6JjklrEvoTl5dPBkC/n1co23YrhGeFKHcr9st3EDOgd9cMt+UeY7FzF5RcDB/WbwzSO7iXuJ942IyObB3tmWvPBz8iy4ZqNMVsApMCeN7gM4VqFnpLPb0dtxvf7eHd8WZbiz1enKgG9fxqvoB1FuyUPkujQ6HL6WHwObO1EREZUsXK9bItOiTJNlj2kz57Gg8OYlsgnndjiYFWUiAazXYmt+LLok6kzUVk5uQUQ0VcU5qLVxvBcqchxeya4DOxyRzjfhIPaXr8RyXjr1dPfjmbe0IB06G0kcz+QCOuCkctIhx274v9/s6srv0nbM8CJiD2Vy8hJVVuNfxn3bVuFgxp3J3KC8UbCAY9PoludveMbHockQ6SlQwENv4BXpnDd/LTqXNrrYnOTle+jX7nwa7DT3kCOihRa2+8CaN8D+4oGbRJ1kBg/24qR0Cu1ewEFf2oHv5759KycSIiKyc9IJlOzl87J6l7C/8QQNiqIoiqIoivK3gX7YKoqiKIqiKB2BftgqiqIoiqIoHcGVrbF1nMuBoZ2G1KlkzqD+xaSjyW5BLZCzihjAwUGDFoQReA61WLFZ/Pf8eqm98ZgQsB2WYqFwnmlqA9hOXkoqBc7zUltaZ/KyAHtE1yA9Tl7AvpQMeqKxJOrfHswcBPtkQwaZ57w3dVBce6mKiRMqbdTUTpbkM35szRNgc30fEdF0IwN2ez/aXZNyThZuRb3Zi8c3ijLRs7jOYnPYzpq9OVFn//wacY3zegXTS2+JYDKA6xLjos6hMtZJGBb9/VuPgT1RyYC9uFYGr88+h3Np2kvBTZhcYaEHtYOxs3KhBQ6iLuzRg3eIMs3kysI6rqc10YrLMyQ2h9rHiV9DfaTdlGuoKyS1bZzk8zh+lov9z22WZ9XuHeNgV1ypI08w0fI1CdRuv1KUQdv7wzgncyS1mo+ex4QHIaZhHY5KDd0tyVPiGqfMnsFhgkmH5JzwMgVX6k+TIVx8fP2atP3HsqhHnpqRmtvNo3iQp8M412V+kBIJgbfnGRIIuDjfDtOIR9NSl9tgGvzgrNS12k1sx24wzbJtSKQQ9Nef8vVq8SQOtnxGp446UcvgaN5i2ldrFe4sbtB/b7dZMgjef6flL8wNzct9zceKYxnOB6uCe7TdJdcvPzu9KI5vpl8mqfnquavB/r1tj4kyz+fku2k5sZRM/FBYQN14oCzXQ24bXw84J4kpqT3nRF251+3FZTpy199H6nK9VZdUFEVRFEVRlL/D6IetoiiKoiiK0hHoh62iKIqiKIrSEeiHraIoiqIoitIRWN5qUoX9HaNQKFA6naa7d/wOBZxLzgde2D8db6NHirTz69FZpbBBFBFEFlAYXeuVQxjKYZnq0CpU8AwvIes4Ybw28E3/xAmLu/zF9Y1uJk4/gn/zlO4sizqtORzPyLycAzeIY5O5HpMB/F9bvinqTLX8A6U3PHScuCd2EuxxQ/KFpI3C+P+2dLMow51VTpX6wT7xnHS+CS+xpBk5/y3Fuk+ZvzcpygRtnOsT54ZEGbuIDTmD6BSzoX9R1JkroTNWX1zO7eYUzlPUQeeVrz53o6jjxfzXePcABpUvFNGJKnREOqW516CjRPyxhCjTSK+8xqv9ck7SzLepvMbg1BPCej2H0Q7UZLvVXv/fC6p9eC/u/Lb2xglRZyCK4/D8YekpevcedPq7OnkR72NwmDxdxTUesmVShN4gepPO1HF/uTxzBRHdmDwLNt9/RERlllFmlu1bZxXR9mebMmD8sQI6MvaFsf/bEjJZBOfV3Dpx7dDkCNiJGD5T0JEOMPUm7tGBpHT8OT2DiWtCIZyDYEDuLZc5oVmGLCTFJXTaSR/A8e4+IZ3SchvwnRgumPYOOzOY448bkn7p3FnMNThe8aQNwvZ/lRkTP3AHOO48FqjI8Q3m2Ho1ODeJewe585th/TJHO6sp99viXlwPyQvoTZbb7P/er9wv19nVQ/I9sxzbsIZeOMWSFAX9x6FVYOvsgJzrdth/MlMX3hqbVrNGL3/rX1I+n6dUSu755egvtoqiKIqiKEpHoB+2iqIoiqIoSkegH7aKoiiKoihKR3BFJ2iwJqbJsi5pOdwd68S/24fPgG1SpQycZfqyIgbpnnmX1JOUmLxj+Afy7wOu2WmfRD1JccxfExwsyXarvahdyW7FfzdI6Kjejxqe0KIsFMzhvbLXYzBke0ZqHzMn8Jmyu6VWiAdqzh5A7dAfhh4Qdfb2jIM9Es6KMjdEUb/3teIesE3avArT833niRtEmX/03sfB3r+EyQwaffIZk2dxG7Xi/tqhQIVpvCxDghEW/N0uyO0amcd569+JgfL5WBIRjQ2h7vYPD90nygQdXL+lBu6e8JJcQ3X22D3r5bxxXBcrbbz/rChz4VEufDcEdo+sfB+upyUiKo9wnaucgxDbF7O3sID3NblHk+PYrivj5lOI5TOo9eEzzRRkkoQzx4bBDlTkvX/w8i6wn4pulzdn7Nl6AexIQAZCLzZxgKMOljHpck9WUed6VeyiKMPpC6Au8HRtQJQpsMkOG+69Lo5rfK6O43muiucQEdGm6BzYP9V7WJQ5vdQLNk+2MDdv0P6xMsWyYbGyMraN6+HWkXOiypOnt4prnEAEx6YyhPpZLyAXZ3yKaUBdg06U62UNmlqO0NQaflYTOlyHFTL0xaSp9YU14xkSSng84ZBjSLbg46JklaWuXJRpSX1vz4sso1MA791bktro/Gb0PUh/VfoiHP2FlRMivW/96+LaQzcfAHuqKX1g/vTou8B2uvHd1UjL84yvMxOxi29puVvtVWTP+hH6i62iKIqiKIrSEeiHraIoiqIoitIR6IetoiiKoiiK0hFc0RpbGuon+lEcW6tpiKFp+3+3e7MLYBfWYqzQ4aekhqYZw3brUj5CLOwn8fBwPUelRqY4gvqnYFXeu4SST2ommCYpJfVmkTRqUwIDcqxKS6ihDSdZnVMGoSDTF0Wn5HJKnUMdTZ3FG53+4RpR5ytDOAf/9I4nRZn/OHcn2KfyqJmrNHEsiYjm51D/Fs9KXdWfvHIX2O/ajvFxy8+jzpGIqNqP7QRkWFhB4V4sFG7K8T15Eu+VPivXc2wex3d8I47DL4zsE3UiNuojH9x8RJQZCefA/h/Tu8GujUgdJmdXr4wVOl9D3dfegfO+7Qz8/UNgv/oXe2QhNpXVNbgPvKBcm80Ejl3qlEFnx4a8OsridabkOOSZLDR0Tmoq68NYL7CI/eMaZyIipxv3ZMs27Em+RJjG3TLEGm64qN+z21L7tjZWEteW89ysDADebGO7Y+tlTOWg1WY2zls6gHGZiYhyTTyreDxXIhmP85oU6nv3RFFXTERU8/DMaPPJJ6JYCOdtchw1txSSY+dE5JnM4TFoHRvbmatJvaRow5bvi3gE10x1E453ea3cF9WLuF7XfstfJ0q2f7xZoYVdhTTWbuI4tGIGJxI25LYhdizXCfO+uEFDZwKr+H4QfeHng4ydb5dwTryIIZ4v0yzP3ZTBNuTng6DWK59pNJ03lHyLsCXX6uuVMbAfn9wmytQX5XMuJ26I7V5P4fimx+VZ6mTfek96rmpsFUVRFEVRlJ8w9MNWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekIrmjnMTceIvdN57GaFD3bmTTYXsTgbMFodKHIuRmX3/7cAcpE4LzBmW0ZSztkuohQAe+9sEfeZ+T6KbCnltgzurJOLYvOAHZUjlUwjmr05mQc7MaofJ4wC16fOSUdJ1pR7I/TYE4SPKo/Ea3dMgP2fx+/TpSp1NHRo3YePfjCi3LeuLy9mZSC9vRBXCMvze0E29okqhCL6065G6TIPXUQ5zv6IjqDTF8jnd3sBIrp83vk+Ca+h44Hw4/hlv63Cw/JDvP7rJPebut6l8CeL2J/4z3Sqadew2d47uxGUSYRR0eUVBDt1yaYdyQRBQ/gvb24KEKxGZzLejfOf/KGeVFn4Uw3uyLX4sCrmDDAaWJfFm+Wa2jrOnSaO9EcEmWoif2z2faqN+XRHArjemgnDIlhQri31/ZhkoyJpYyoU23hvIV4Z4joTKlXXFvOfFZ60KaTGKT9hzybDBH1hnDtXZNAZ8KkLR2X4gHcX+crfB5lwpMhlhHjQrNH1Pkv4zeD3ROVa3w4ge2suwr3yb4ndog6XgDHtzkqz4dwFOe2WsVz6PWJEVFnxzCek0cm5TrL59HRbi1LzpIOyfE9PL8e7Av3S8egscexnsUcDj2ejIFWl0jBDaxcxmoZEjSwOg2Dgxl/74gEDYa+8WtGB3XuuFZnDlAGR0yr3vAtQ+xbpdqHfbn6gWOyDuPXB58R1+ZbhgQiy4jZcm06bC99py3XeNcI7oueONs7W+S9lv6SOY4bpr458Nb3TatVI5J5SozoL7aKoiiKoihKR6AftoqiKIqiKEpHoB+2iqIoiqIoSkdwRWts7bOTZFtvr5t116EuyaSRye3uArtvP4pvSsPy27+BslYa2Cc1q+0o6nxyG/yHupFCkUl0VpY5f2IQbI8FBLeqUl8UGUYdW/O8FCnGzuNzltayQNNRQ7IIJpGpDMqxckNYL7KAz1jrle2On8ckA7fuOC3KnFjqB7tdYlpeQ/6A+jVsHKpS19oOsyDtyZW10kREsVk2t005DpZBRuVHkAX2735DjpUbWNled/2E733G98kkGWfHcY1kdqI2L3tC6hqvvlHOE2emjBovnrChkZXJDLjsjic7ISJiOSdEmZAh4YHH1mb93QVRJlvB/hYxVjllemTigpOHUSc8uk1u5IvncI1HdubALpXkOITCeM4Ez0udfu9hPA/P7UWNpT0idaOTr2EikIWtMog71083y2jbETm+LCY+2TKcPaUCqMN9oyIToHDWRXAtrgllRZlTVTwfDhRwTuI8gw4RJUJ4rWxImnL0HOtfHc9bJy43ersL5y0wI+ctOIvz3erHsWonZLtTKVyb3Wmplc8VcP7HJ1ArHYrJgzJ+Ec+v4WeKogy1WOKEND6TSSvrBrFd0z7+n4INTaAqx8pjCSS470eoYDig2QK2TIkfKkyT6nHxrumw8v89sbIJNeCNDPavOyT3MafpyW+OjIP1IpZ/oh2euOTBtTKhD+eLB/eCvX5kQZTZ/quoE35pfJ0ok3zurfdQu+EQveJ7ayLSX2wVRVEURVGUDkE/bBVFURRFUZSOQD9sFUVRFEVRlI5AP2wVRVEURVGUjuCKdh7zGk3yrEsicCvg/yhuSJZpxFcOCJ0+J50ipm/DOvl1/veOzfl7D3FBe2lM9i1xFp0VWsxJrbpJBlhORPFafVoGUw9UUeTusT95EmfkM5Y2olOEZXAgiZ5Ap4I285toDxicONLoUDIUkc4sLyxg8P/QNnTiqRoC3NMkBhq3+uS9U2fQrgxhO82knMcGG87oBemUVtiKYxMo4AB7Dfk3ZiiP8183xNZuJldev0tz0smLE6jINtrb0BGlcAidGdzM/4Q3HBHN5dBZzG3j+k2clvMWWcK1WeuR/W2xGPLRWRzP6X7m8UlETgrnv1qUDlstllPAXV8VZTiREVyLC0XprGk18BlcD+3RfukQVW6gM1N+sxyH6h7c6/Hv47wVEtJxiVK4Nr2qdJraOYJJJwIsicOWBMtSQkRfO7UH7NM5meSh1ML+bE9h0oEI9wokohMVdKB9fmq9KMPpZgHjT1Zk0oHsHG7kZK90xrIDuO7tMI5DxHCe1dh4OuvkGV1m50zqRexfwTDXlbp/wqHQQVx7rTXY34bB0TWZZ05TBqfrN9+7l8swZzIvIs9A2YjBGYtfYg5cXsDwWxy/ZPLXYokdghV/xzCeZKIVko7ZwQZzHG8y21pF4gdRgih2Gh0kt76OCTEOPX+1bPcjmIRmV9zfcfim6FmwbYNH38EaOhdfqMp3CnfG9Fo4KT0RuZcmy3gmv2ezTDrx+PlrL/9/t7Z6b0P9xVZRFEVRFEXpCPTDVlEURVEURekI9MNWURRFURRF6QiuaI2tFYuTZV/SGXnDUr/VjqHOJzAvA02nLkqt1XKacamrsdqoiimPSu1H4gJLRNCDf0Okz0ntWDOO0xGU8eKJxxWvskDewWmpu1qoZ8DuyRkC/bNqvQex/0WMb05ERMmTfPnI5cS1xaU1OA7JjAw0vbMPdXYLjYQoE4rhQIRCqG2qFw1aQhYoPRg2JNYIo87SYXK46LwhYQfT2NY210QZr8q0ut1MtxaQc8L1yFZLqrFCBazX4Jrbcxig3UQ7LO8dOIravNog9nf9VtRcEhHtP4vZC/gzExHF+1FrVZnA/Vfrl30JMnmWKalHfBqvRZkuN3lBrof8epzL2k6pn33gPa+Ka8v59old4tptG1Co3c0fgIi+tnA92D+z/jDYQUvqGr/0vTvAbg9KreaWUdTVHY6hxjaQlXPCZazbd8q5LTZx/O7pPwH2V85eS5xWC8/OpbzUGv/82EGwK+wgOlfB/hMRvXhuA9jelNRG0zDuwWAAx/OeNSdFlUcXrgO7WpFrxltiPgP830fluR6J4lnVFZPrbC6PZ1x5DTvXi3Lvl2fkeHIGJvH8jc3gms9tMyTV4fJYoxaWXWO6UbtpSFQRYn4FtkF/Ki4xPaopSQI/xg26Vv4Mdt1fr1nrxbUYmZP7jWt+LfYOtKqyjqAl97pVx/Fr92MiqVbE4BfB/BWWWvK9ycm5eP4erI2JMnW2IE7l+kQZgYv9mypJH4dsGe99fY/Up4/eMHn5/7fKdTrnf2ci0l9sFUVRFEVRlA5BP2wVRVEURVGUjkA/bBVFURRFUZSO4MrW2Do2WfaPvs1rUttkv8GCksalnjaSxRip2fs2g10akd/+bRavNTotdbgituk8anqWtsk4fzx2bGxW6oCyO9AOllHLEpmXdbqexP4W1sn+ci2py1YG1zASES3sRXFT4rR8pvIQPlQrhu1UCnJOAgPY37syMr7duijG+XtmfhPYzf2oSSIispjsyw1KPXJlGPvXSmNfqlGpy00cQo2ftSTbDQyhlrjdxDnwpLiMKhtQcxS5INt1QyweaoD/u5y38CLTlvYbYtJuQF2o42KdyecxtiERkR3HdrgWnYioHGTzncDxjZ+Wa7PJ9lLynHym2dvw3gPP+v/NXu/BOo4jx+FsSWr3l/NPr3pGXNsamQL7meI2WdHGZ5hlQYqDttTd3Xnn62Av1qV+ev8FFMO7vf7xhptx1peK1ObdPohn6d74abC/n2ABf4lolq2Za4cuijLTDdTeXSjjvj34OuppiYgis7hGGmn5jKlncZ0t3opr8VgcY+ESEQ0OYezgpX39oowXXVmbWTsrY4RvulY+NycZwwN45FaMCzxZlBrFyGO4Nmt9sm/FUXzusf+xBHbmlNQRL23HdeUZ4r+7TFvaDst9K1g55PaqyhjjzfK4sK6/flbUWUW7ruEZPQfP/uAMi7lujGPLzqaAYey4JriG74LimDzftiRzYO/LSb3sXT2oLT9cY+cF/wghqfdPhaUPCWduIcDsAVGmOYDfbF997kZRxlqm1XVr/vd9E/3FVlEURVEURekI9MNWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekILM8zRF/+O06hUKB0Ok13Rz5AAUs61LyJ1/Z3nCAWJNoKoOh58e9dJapU+7FO29CF5Hkc1jaLIW6Ivy7a5U4dJjzmr9X/qnxmN4Dthory5tM3r+xH2EoakjrEmaj8iHQe41QHsZ34jqwo8+FNL4H9Sm69KFNo4oCemEJxujUundJs5vflVE0OW9IJcTmBJUOA+3XoaNVuSWeAdgXr2RHsjJeTiyiUZUk9Tsn+FNeytcicW2LT8hmbLK57o0vObTODc5s4g/1PnzUEFWdLr5aRfzdXB5hDBhuqgME/ILLI9tLPL4oy3PmuWsfxbEzKYPY8sHtsSvb37l9+RXZoGQ7J/VZimTWOLA2JMskQOgt9cBgTQewryjU/GkHHnz8/KZ0t1mTy4tpybug5L679xUs3g71964Qo48fHxx4T1z7y8ofAbtfk3glG2X5jCUXuuAcd5oiInrsgHco4tSU8H0IZHO/mgsFptYDzb0qKUGPOeNfdaNiUjEkWnL4vKhN2pEKYtKHWxrP01eNyPQw9iePJ9xIRUeoctmtX2bmzCqevdlTOm8USMLihVbQTZskMDK83jzVjs0QF/IwhInKD7B1uem0yhzLuGMZtItlfpyZvHizi+g0U8ACzmoZzMicTRQlCK79LvYh0+pt4Lzo7FjdKR2fOH9z9Nd8yP8htBzvOs0QR0etLwyu2MXHS4IgZxvEM5FZOHuPWanT2//oXlM/nKZVKibJQb8V/VRRFURRFUZQrBP2wVRRFURRFUToC/bBVFEVRFEVROoIrOkGD5xF5tIIO1faPCM01tZze52dlnSrqtQo3ymD1rTDe2y6xf4/Kvg0/i0H8S2siokxxFP8WCRXw+as9Bl1jH+tLW5ZpsGDJ4WnU+ATzsr/BSWzH9ZfY0q5bMbD77T1SozbdyIA9GpM63EPZEbDbWdQcBQ0a5ugcPkNhk9RMWTV8pvAiir6aW3COiIhsFmy/2ZJjZYWwQ24D23W6pW7JmUYdoGfLtd6/H+eNa9CqPVL71n0M69Qzcg8Eqh6zUTs2d41cmzzJR1PG+acAkxfmd6AOLDop+7K0C/uS+WaPKFNj+vT6ABsIw1HQsx21urmmTMbwzVevBTuYxof8J7ufFXUen0NN2n1Dx0WZV7Nrwf43R98N9q9uRZ25iZ6EXIvhAI7nhsQC2JO1jKjzyze9CDbX3BIR7d2N+9Zm5+4/efQfizqhEtM9b6iLMk2mu7WSOG+pAGpETbSahoQzBWy3wTTY3WPyTMkuYnKFnqtzokyGCTjXxlD3bBsEnqcW+8A+NC7X2W+963Gw//MpnIPwpNTgN32SRRAROWU8V9pxbMcLGn7bYskKXEMZiyUe4EkRTJpVPjR2Q56/7QjT4bIiXkC2azdX4Yvi8xOeqS/BMu6lSr+cA7vN1i/T1wdyco963TLZhqDBznXmL7R0g1xDqXfPgP3LI4d9b3NVeNK3zHQck6ZM1jOiTH9sZd1w9qL0M2hFcN/WBqUmODLz1vh6jdVk+LiE/mKrKIqiKIqidAT6YasoiqIoiqJ0BPphqyiKoiiKonQE+mGrKIqiKIqidARXtPMYtdtE1qVvcyv09okaLuMaoju3DV5Gy/CmDM5jXRmwk09J5xAawoDE3OGM6tJZiGz8O6O5da0oEllCoXw9g4LqFsY3v9ROCuu0emUSgug5HD+H+Wx0n5DC7mo3ir95ggkThy6go12+IQOl78xMY98c2d+hWAHsE0Gc2wZ3HiKiruPMyaRHOrN4VdwSNZZQwnYNgbxbOG+BkFxTzTw6FVhtllihYfgb8zoMtp/NyKDUicfxOetdLJHCGYOzWw3ncmZvRpSJzmF/6hn0DDQ5CiYmsS/Bkhyr8jBeS57C/nKnNSKixARzfmzJMrEZbrMA7IbhLc2hU09yXrZbZo5JrSQ29PAz94o6vWM5sA8HZfDykVhuRXuuIef6VBHPlMF4QZQJMG+bx89tE2U4rSYmPLBicq9XWng+HD46BnZ0o3/Q+a6Q3MfZaXzOxCg+k8kZKx3HwylblIeevQ69dSMOSyjgygXR04vPMLcg5+CadRfBzjXx3hfLGVGnUMQzLjwrX7vfnNoDdq2GGyw9Lseh98DKyTiIiIg5edkssULbMWwMnrzA5ITNHFl5Gbst+8sdtNyQvLdTN7yjl/97deX3NRFRKyadCfmZ4fk4vxHJZzKNQyuGzxCZYC9O2zC+pu8QBncW84K4ZpLn5bur9dlusL9wpzybwll8hoUPGjx8eR2W2agrKN8pr8zJb5XlVK6STqDh47gvnLKcN+uqt84Dq2LI3vM26C+2iqIoiqIoSkegH7aKoiiKoihKR6AftoqiKIqiKEpHYHme5x/d+O8YhUKB0uk03Wn/HAWsS1oky5H6jFXBdDOr0ery4NTGMr2od/GKLDK9IUizVUBdWOFmqVvxC0Zd6ZPj0GaPZBtkSl0nUb+SX48B+D2TzIq1015FggYumcvfVxZl0gl/Lc2dw5jYYbqG43l0ftC3jdyk1NBZ/EG5HColdYLONOpnTckA2gmmmTIkWxDtlvHvzviE/Dt0zV+exXZrqL1yN2IiCyKimZvxuStDsi+hwsprPLy0imNjFfG0ufY1NW7Qd/b7uwI4bF9UBrBhW04bJSfwXu2g7HBpDe4ni3XPpPfN7saNESgZtGOjqFN7/7YDYOcMYvntMdSe7y+OiTITTOPZFymJMpzFWhzsm3rPiTKPnr4a7FYLn6lRkuemFcA1H47JSahP43OGh3BcBtJSuztXQF2gZdDhcpoNtoYMddw2S5pyTiYh8ZyV7aBh3+y4/yTex3CYHn9sM+sfmuu+hok2LpXBQm7M/93lhhxmyzPFruP6bSblwS7WPTcNP5nxIXcNyRZ4GWsVySKcGkt+Y3gm3k4riuNg2scBlqCh3i3HwWLvwMSRGVGGw/WyJqyWj5bYoNOtbkYNfisuz52Je3HMw/Pv/LvpAz//tLi2MYy+SJ965SGwxTvSAH9HEhHdcd0bl/9/o9Sgr9zzF5TP5ymVku/u5egvtoqiKIqiKEpHoB+2iqIoiqIoSkegH7aKoiiKoihKR3BFx7G1ggGyrB89gikOnU+MWiIiy8Yh8BoYX9aOSp0VDWD8Sy8sh7GVQE2JN9rl25eJD6JGpvuY1JzEJlCDVtiE+rjSmNQtpU8zrVtettuM4zPE5lBftLRd6ouCJRzzSNZf61Zcg39LWWfiosxiCuPb/b3bXhZl/vr0brC5Ury+JOPjOknU+FlNw991aVaG6QS9vEFLyOzViNatJtN2d8m4xr3PcV2SnDevaRCPvkPsplwzjfTKT5E+a4hTyXRqrYi/yLaeYmUMVZwGtjt/vSzDn8Fjs9B9VNappZne0KARD7M1HZvHfVEekHu/dx+2u3iNnLfb1qGOtdDC9VpoynOn5uG9diSmRJl10UWwT5XxTFmoyf32rr7TYL9ekLrs39rxA7C/M4f77/CB9aJOeJHpnK+RsTc37sRnyNfwuWfzSVGH63JvvO6UKMN5+RiL1RvyjyW65dbz4tqxsywmMY8/7UrN4mQJ9f+zc9K/Ip1Du/s4jpUXlO16IVwPbkCeZx6LScu1pibaEWzX5NfhMX2sxfa+ZRpetrf9/EVMmOLNtsP43KZ4s36/4AVK8hy1G/j94NTlXuexeWsb8NsgPJETdXg8Vi8l9yTX4VplFgfWEAc/tIjtNpMyRm2A+W0M3z4BdldYxqj9h0PPimuczUE8d5Ip1l9uE1HtcAbs26+Th/SaaPby/6+3V/+u019sFUVRFEVRlI5AP2wVRVEURVGUjkA/bBVFURRFUZSOQD9sFUVRFEVRlI7gik7QcE/PP6CA/SNnnlU8hlswBCv3UPxtb8CkCM0BGQjYqTIHo4YMKj+/F53FCui7QC1DMGKrjaL39Akpgg8VmINODMssXS3bHXoaywiHHSLfYPrxGemI10jg30XhnMFZj/3ptLQVPXSahjjLtRF/kbhVYw4DCZyD7l4Z2J3T/GGvuFbchO1YLRyY+HnpxFFej89tNeRgOlW81uzB+8TPSs+lsT87xhqRf4dm342B3V2WZKA04h8EPSD9BSg+s7JzTWxKJtFoZPwDxLfDKy+0ao98xnCBR3+X9XJbsF51FNdQ4pQc3+QFfMaZd8mG+fwnz+B9uGPbpTpoL90unaY4wQhLFtGS6ywe909c8m92Pbriv/+nmdvFtVeZY1XfcE6UyRXQYSsaZc4rP5DOsYU9WGb3xglRJhbAMmdzPaIMJ/hIt2+Z2fdhu23m5NXXX/BtY2FBOq5du+EC2K8dxbFzinLeQuv9z6KRz6GzkFP2PwNd5uTlGZzH+Pkrki+kDM6wwhHMsOF83heeKYnRahK28DIGRzDfNgx1+LnIHdd4kgciks5uhjLNNI4fd0Jz6rKO1VyFU3t55b1uVeWZ4mZwvRZ2ZESZ3EZcEEH2SVTY6t+3QK90BPs/rv4O2CPBrCjDmW/hy//VknRAPZJ7y1mzVa7TDx/895qgQVEURVEURfnJQT9sFUVRFEVRlI5AP2wVRVEURVGUjuCKTtDg5gvkWj/SzjlS22QxnY8Vkjo7K8Q0RnnUQzlJGSjdZYGxTX8dpM4zjd8E1z7Koc/uQN1PIy21QlwT03W8xmzZl+lbMfh7bNqgC/SJV14Yk/3lCRqaSUMQcTY40XmmbTLoUSMLOE+5nVLD7AWwHTuLdZY8gwaH6SWdQTkOsQtMt8YeietTiYjCc1ioFZOFmoNMM8c0wpURqW2ae/82sPv/6g1RpvsZ1Pwt3I0acb5eTJTXyP6WmTa3i9166l2ouSQiWvMDvFllSCbJ4Nrc6iDuL8sg8QoV8GLDsM5aUXyGQA7nMSBlYRT/x5Ngh58ZFWV4f5os5nlFxtoXeTSS+w1JXhiF7XKNcxoncDzb28uiTMReWZv5R2PfFNce7doF9mAgL8qcb6Ae/QtHbwY7ee+CqHNDFwZtLzTkOBQbqAtcmMd9GznFk5QQpQP+yRXaZXZeObg+lvIyKH67hGdItFsumrWxJbBfI9TYBiryPEt8C5+x67icN75o2gl8L9l1uT6sNtaxDH4mHtPl8+QLgaJcL+0oOwNNCQ+abA7YOW8ZhPAigYThLLWZnnc1HkA86QRP2HCpIZbAxUd7TETkRvCcaabk9wPX0LZZHdP7wqn766fbPXjQOEWesEO+jy0X5yR9YE6USR9iviksuZTT8E8kVbtPjlXGQUeN0QBq2P88e5Nvu1tjMyteq5Za9EPfVi6hv9gqiqIoiqIoHYF+2CqKoiiKoigdgX7YKoqiKIqiKB2BftgqiqIoiqIoHcEV7TxmJxNkW5dE9m5RBsG2kijatxLSYcAroZDfy6Po2SpJoX9g3RrfvgXKPOA2BgyvZ6Rz08DLaDcNTkht5n+R3YIXXKlvp1DOX4HPxfSVodUExmZBr1vyPvFplsyCeQPkQtI5ZPEGFKcHc4Zg9Rfw3i5rxp0xJAtg/g6NjL8TXWyWOTPIrlA7hH1p90rnFmcJ14Pbj+uh54cGJ5lzLAh3QG7X9jAGtOcJAzzH4PjBYuubHF6kYwdeiC7IsWtk8BlCBYPTXwgXmsseqd4l+1LvwkXdlj5pFNmBAcE95izSwjwWl9pt4c2T5+UzLe5hTopNNtdROdfRKX8HEp5oJTKDfWlvledOdBiduvJ56cC3r7JBXFvO4y15Bu5bGgP79t7TosxMA8+rkR7sS6Em16/L5mBTUjqYcW7uPQf21+N7RJn5DDrWeI4cYLuEc8CdVJsyNwuNjKGz28yi9Ax8fhbH99arToL98nPbRR2eJKVnf0OU8cK4xi32TF7Q4BzNAv2bnLxkJXZfw/nA3wVO3d9Zj5+tJq8vi22EVlQ+U4AlQeD9E05rZHDYaskyHntvtiP4kIGq7IsbZI5WAUOymxo+U4glaCDXMHa2/++J3CGOJ98wPaMpaYOAORxO39PvW6XO/MnqFflu/dSxB9He/j/A7g6YHCaRkeCSuLY8iUObZ75ZAf3FVlEURVEURekI3vGH7TPPPEMPPvggDQ8Pk2VZ9I1vfONty37kIx8hy7Loc5/7HFyv1+v00Y9+lHp7eykej9NDDz1EExMy3aKiKIqiKIqirJZ3/GFbLpdpz5499PnPf37Fct/4xjfo5ZdfpuHhYfFvH/vYx+jrX/86feUrX6HnnnuOSqUSvfe976V22z9PsaIoiqIoiqKYeMca2wceeIAeeOCBFctMTk7Sb/7mb9Jjjz1GP/3TPw3/ls/n6Qtf+AJ98YtfpHvvvZeIiL70pS/R6OgoPfnkk3T//fevui/u+iFynUviGWehIP7dC6BuxjNoWyymS/Ja/jqO8gbUXoVyMuCyU8N2rAba4YL8iC8N4XQU18t7c/3T6BNSr8U59/MsKHePDDwefwZ1a20mo4lPSs1UgOmLbMPQWSzgdiuOc2LS8kamVk6SQCS1pCWUCZIbkv2Nzq2s7yQianTx/rL71mR/mymms8rKdcaTNng1fKj+x87LzrD1WtuzTpbhVZg2y6nJcWiH8RlM8ice5z9YZe0YEh7UM3yi5MTFZnC9Biuo+XLqhslm1PrkM13VNwt2ro5C3Lv6UAtJRPTIV9+N7d4q9/HWjVNgX1hCwZlB0k5VwkXjzstnqtyMAc2ts6iXvX4ME28QERWaKBTsT8jsG022WZ6cwyQf9/bLDC6JoL82LxXAxBrxYGNFm4joN4efAjtmy/v80RSe95kgjktfSj7j9Ag+o20SMTOaOdQAhyelTnAmOwC2OyD7e33fRbAfP7MV+2KIvb/22zm8YHgPMTmy1M86hjqrSHjANbW8jGno+DV+hhNJ/SnXhHL7R7XAMiXnETphdm/XoAnm/TPphgNlHE/HoNX164speUytB9dRlLVrWg8eG+B21JA4imlh7RbT+xr0yTwhVXU0KcpwYvP4ULM3GZJCFfHeoTPSyeEX3/8M2Lk2nmd5g2PE7Qk8i8rcUYaIppYljKg1/BNbvMmPXWPrui596EMfot/5nd+hnTt3in9/7bXXqNls0n333Xf52vDwMO3atYteeOEFY5v1ep0KhQL8T1EURVEURVGW82P/sP3DP/xDCgQC9M/+2T8z/vvMzAyFQiHq6sJfPgYGBmhmRqZUIyL6zGc+Q+l0+vL/Rkdl6ktFURRFURTlJ5sf64fta6+9Rn/8x39MjzzyiPhZ3A/P8962zic/+UnK5/OX/3fx4kVjOUVRFEVRFOUnlx9rHNtnn32W5ubmaGzsLcFju92mj3/84/S5z32OxsfHaXBwkBqNBmWzWfjVdm5ujm655RZju+FwmMJhqb+wz8+SbV/SuHhdMuYgxzJpNNjHtBWJyDKMYBHFpBfvlfqRzCnUyJSHUO8Sn5YanwDTMaZOG/ScCRZHM+L/t4nDNDLUI8sEy0ybySRz6XGpoWukWGxWw2pqJvFieRC1QbEZqcUqsFCcnqHdyiDTRgdwPMOLclzq3exeBhlYK4HtWE0e+FHOiRtgutykbNiz8VpwgemI61LPZwVRe1Xv8t+uwRLTZmXkODTYVmka+hudw+csDzKdVUHWic+wfXGPqb+4jwdexXZi83Jf1FPYl9QZ2ep+F7WOcRbX9i9L14o6A7egfjYVrokyPNYtp5qVe99K4zkTuCj1cLUKzu3ANfNg39olY8lGLGz3j0/cJcocCmOM7Tv6ToG9Pjwn6jzVwLHbn5f/ReyunhNg3zhimATGD0oY03VLRP4XuQ0xjG37/Dxu/r1946LO64ERsPN1eWZXn8D4nEH/Y52i87jOcj1y77y2gOPbzGHDySV5PpQ24NmfOJ0XZSyTI8EyTNpSp4rrwQ0Z1irTn9oN1FTaVekYwfWz3CYiqd3lct/QKt5LNSla5fdqG7Skop0GO7N9axC5TJ9s6otJWyzKcC0xr2KKY8u+OUyaYMtlcdpjeF7YNfkt44VxrKLT0nmiHUdNsOeE2L/LZx7YiWfGz685KMr0BlAe2hNAbXzEIDZebKNfz7cWZczqjcvOh5a3injKP+LH+ovthz70IXr99dfp4MGDl/83PDxMv/M7v0OPPfYYERFdd911FAwG6Yknnrhcb3p6mo4cOfK2H7aKoiiKoiiK4sc7/sW2VCrR6dNv/Zpw7tw5OnjwIHV3d9PY2Bj19ODPgcFgkAYHB2nr1ku/CqTTafr1X/91+vjHP049PT3U3d1Nn/jEJ2j37t2XoyQoiqIoiqIoyjvlHX/Y7tu3j+66663/BPbbv/3bRET04Q9/mB555JFVtfHZz36WAoEAfeADH6BqtUr33HMPPfLII+Q4/v/ZQVEURVEURVFMvOMP2zvvvJM8Qx7ot2N8fFxci0Qi9PDDD9PDDz/8Tm+vKIqiKIqiKEZ+rM5jf+s0m5eF2MVdfeKfQ3kUxkfe8E/b6w0ZPKsYc9ehw0D3MX9Rc3wKy0RyUqzejLGg16vQSpcHcApNSRK6j7L7jMdFGe741XUcI/AbA3kn8Bd2k5NBcB5F41Yfq2NYgTxwt2fw+ePP6dRZ0gFDAoE2cyBpdssBls5irE5S1nEj7FrY0G6JPSj3F2jLOrm71oJdT8nxHfgeJnbwmINktXejqBNiviutmMkhTlwCeg5KB5jSenSSCeX93Tjy67FMYlKOQyvq3054Ww7tIC6QPb2Tos6BeXQEWpPIiTLr0otgb0yhs1N1jQyufnRxEOzIPVlR5sH+lZ2vboieFde+W0Dnii9d/V9kmeJusLtY9o2KIQj67677Ltj/bvJuUea/nrsJ7HXpJVGGMxrF5/763DWizJYEOqYEbJz/17PoKEZENJlnCXICBgco9h//+N5vR+WBVuvHa4muiihTquH47d2NTn6Hz2NCDCKi3EbsTDgbE2VCs+hsw5MJBZryfcEdgey6yRHMxyktJtevU8EzRCSCIEPCCP5jl8EhisOTEBDJhEn2KhIp8PeOqY4b4MkWWJKEsBwnnqDBDRoSP1TxXq6hHdEuGxurJfvLnfzEv1cNL8XVJDBgySC4Y/bw9+Uzzv5sCuw/WbpdlPnE1U+AXWnIc4ZzoY7fWmsiOVEmuCwrRtuUIeNt+LHHsVUURVEURVGU/xXoh62iKIqiKIrSEeiHraIoiqIoitIRXNkaW9u6rLFN/uC4+OfybRh43GsZBKhcl+Jiqt/pu7rlbVmuAh68nogodR71IOEK2iY9Kk/QYBu0N4s7UCPDZSc9R2Wg/8oA1imukzqa9Cl2QQSRFlUEwbLsL9cTNeMs8P+oIdA/k0IbciIYtMRMt2SQZnHtLi3JOeDJFeITWKYp5cnURAkSOYtysAIVvDfXuZIh+HT6COoYrZIUDns1TCrgVdHu/u5JUSd/92aw612yv45cRgDX0xJJDVrygr+TKU+0UR6Wc1Ltx7Fpp6XWaiCMm7I/jprFDVHUxhIRbV83DfYXz94oyuQamIBhU3J+xX833jsh770liskKHp25Dux1EUN/o6gTdgwZRp5d3CSuLefqjL+fwUP9h8S1v2juBfvQJGpf3fNyYxxai/re8CsJUeYkbQE7eCc+971r5Pq9ux+TRZyvGfwifgG15989gNpjK2RIkDODmlX3lYwoE7kF+9dycb3Gpw3n2TS+Y8LnpT7Zi7DA+VyracjKGVjAdWbVZRId6sJ96kZZYhjD2covmTSg4v3A9KjEExcYEHUM2KydZkJ+slgtLGN+X/gkUjDU8dPlmnBZYgpTHZ5YwzQO/Bk8ppV2Q1KnHTyPZ5NxzeRQN55g9uztvaJO+mk843K3yUQ23SwhwyOTt4oyfhw7Oyyu3bf7LQehRs2wvt8G/cVWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekI9MNWURRFURRF6QiuaOcxb3iQPOdSIOCla7rEv3e/nsPyVSl6pjY6olguCuWHvy+dOCbvR4F1IyWKCIeynsPojWNKeOAUsX+1YemgkzmLXlPceWxphwyMXGIOWuElKSoPlfC5nRrexzUE6bYb2G49I52QKiwhQwNjq1OwKPsSWcS+hAxOaa0w9ieKcfSp2i3767Dpt1oGcb1w8sJnNPmphBfxXjzoNRFRK8ac0tBviawIiyBPRMScxbxiURSZ+pWdeIGtq8EXZCKFdpg9o2yWnPrKjhKNhBxfiwVpT52T+60Vx8FZ3OPvlbjj+nGwz2flXq820EFyXT8uiNOVflHnqgQ6Un1owyuizHNL6Ix1NDcE9lBMju/4d9eDPVlcL8p8b/R6sJO7sL//dvZeUcdt45g/tPV1UWZrchbs8xV0fj1eHBB1HOZpOVGV47shiedgrooOJeFXpBNd4w3uUCbXlN3Ea7MXM2C3DM6EXzyFTn71U4YDmJPCg9JekIkJggXcF5W10tl4OIZ78q4edGT78zY6ZhIRNZNsjbsGZ6wW9u/N99qbWO4qnLHyciM73MkriGPlhQyJCdhZL5IxEMmEDKtBOJytog67TbBoSEIR8HdC405cIkmCYXyFw5kBp8pewPyZTEMX8Hcw4+NrFw3fLgy3W34vcJrd6HTGnfFCBdmX2VtY4pKk7MuXpm8GezVOql85jGdg4nhIlNk/MHr5/7crPh7Ny9BfbBVFURRFUZSOQD9sFUVRFEVRlI5AP2wVRVEURVGUjuCK1tjaizmy7Uu6jJ6XDMF7l3JoR6T+1Ksx7es7CAL8JuGsvBbJssDSadR0hZbkfezFAtjtDVI7xjW1XOMTLErNVGRxZd0oEVF0AYNGtyO4NKy21IVFZirsigwabQqovZzUWdlu98uzhpKIVUatW+62tWDXZV4NEYS7HZbjkLiANteBJcdls1xj3UgYgnIz7S6/t2cIrm45OJf5d28TZVwmFbSYBG3+ermGeo7g2Jnmdu5aDKbfkrH1BUEm8Zu7Vuoue47hc0bmcIDr3XLsjr2EGtVWt9TZPXD1YbBHwjmwi22pYf5vF1Dj5Rkiuy++3gc2n/9FWiPqRJhutDIk27U2YPKCq/pQdP3q1JioU17EZ/jG0zKhBOf//KlHwf6Ts3eKMhPFDNi3Dpz1bbdSx4XXGJXnTpsdt1xnTkTUWIfrYffaKbCbhswwlsX1kv5ayN7RHNi5N6RYvrIR+3LnzhOizMFZTEzxb5/4abAjhuQ3oRw+Qypg0LVGUV9o13GNc10mEZEbYwO8Tga4d3IYON85j2erk5HngxfGM7sdl+9NfpbyxATGjAe8hMyzIpJBWK5PIggisphelutniYhc9hpymngfU7s2K2OQiFMgj2cpHyu7ZkgKxfW9pgQYDKtpGCxeJmdwlmCEqrjGAxmug5dndvoEDp57Wmrwz9yO839d5oIow9k8Mgf2yeqQKFM99tY+dWv+OuM30V9sFUVRFEVRlI5AP2wVRVEURVGUjkA/bBVFURRFUZSO4IrW2HrVKnk/Eup4BYO+hMfNaxn0LrzNfMG3TP8+1JjUemX8NaeGupn4MdQ2eXGpZfHqqPdNvjYlyrhdKHb0gqjX6puU/Z+5E+Pu8niuREStGLbDF8bUbbK/A/tQl8ufmYgoVGTCJGZGclI7xJ/RFEM32MS5TB3DeKL1lNQB1Xq5jkrqqoobsIPBPJZpdEmhVQSlQpSR0jzqfXYSbHdhCezyndtFnaWtOAvBkr+WsNbvH7OY68nsur/GazU0k9huoCzL1LrxmZIX8d7hrCnGMn9uqVH8XmMP2MEsrpnkOdkXl23b6oC8d5AdGbF5XK81Q7zkQA37G5GhsKl8CrVtTy/sANuLybMqMut/XLs7UFP5lWnU4RYqUmtcr6Je9umv7RVl2iGmC+TSzDuko0F5EZ9xcFiWabs4fmMxLHO6iBpnIqKd/TN4gdtE9Mop1GVv7cZNun+D4cxmes5XJqXO2XGYNjPORe2y3dVgsRidXHNr1FjaLB5qvSnLsHioFqtDTbnOvCCuM6co44e2uvB9wPWoBrm6eB8bY+H6SXNNddglY1xYDj/yDPcN5v3jproR3Ds8TvdqPrDs1fSXveetqsEXKCRjM8t2sEetONYJluR6GPoBvltbKUPM9Vew3S+97w6wf/9n/kpUWc80tn9cuVuUyZXfcpZZjZb+TfQXW0VRFEVRFKUj0A9bRVEURVEUpSPQD1tFURRFURSlI9APW0VRFEVRFKUjuKKdx8i2pCB9GdxZjAe8N2HFZJIBDne0CuWl4Dp8GAMUuxVMZmDlDU4GzKnHXZLOFlYRneSskUGwPcMzWkwoH81KR4R6Cv/GWdiFS6OZkg5G1R4sE12Q4+A0UPBd68H7DDyGgemJiJprWPB0Q/BsnliD/4UWyadFHbuFpRop2W76NAuu3+/vcMbHN1iRY+VVMJD31K/tZn0TVYRzU73bP+h5iDlftQw6//xGvBisyADsg8+hc9vsreiM5xn2ncdOE5MTR5XNfySLY9VzFMeJiGjuWv89OfgMtpM8j55r9S75jOEsrqFGRpZpJrC/8UnsXytqSEoSx7Gp9cixcthjNnrYWNUMCQ+2o2NYa0E6dNI8Xjt1DhOXtJOGRCsDOFZLV8mzyQti/5wUOip1cy87Irpm83mwu0Jyboci6JiybwkdtjYlpefdiUI/2OfnZDaWQBj7c2wR62zrl0lgAjaOzYELo6LM1mGsx8PQNy/KsYvPsqQDhoQoHk/awJ28TE5TPLA/r2No12qzTWpIDOOl0enPbsi59U0gYeiLwPju9nEQMiRfWEUuCOHM1o6yd/jS6oP/r0SwgOPZjkuHLqfMnPwMztEWH3M21VbLP2GDCauI3yEh7lxockBs472ye03Zj5CdN2GSl0Nl6YjJKRyVSVMiy5y32/XV/w6rv9gqiqIoiqIoHYF+2CqKoiiKoigdgX7YKoqiKIqiKB3BFa2x9RrNy1o/r23QnLhMr+MvsSWvhHozK5UQZaIThmQQvJ2yITq9D1aSJV+oGQJE92OyhcL2DNjNqPxbJX0GdT+Lu6SWsDqIY9XswzpWSS4Vl41nMy7vXRzFQpElNieu1JsFp5m22KQnCq4cjDr9mgzazgOPVzb5a4XqGRRnOYa42PUuLJN+aULeu2HQLi2jLaeE3FXE226HeTIA7EszKTVr2W1oB2py3upp1NSmz/knNymsxfGNZOW9Gyjfo3YQ+9sOy02amML5X9wly9RZooRwjgW452cBSQ1woGzQEjZYEHxWJ3NC7vNmEu9d65GTW1mP6yHWg9q3wT+R4uipW/F8sML+AcudKo5v7yEpSCyNYLaFtEFumL8BL8biaFcbcrG+MYP6/399zVdFmf80dTvYtRa2k2tKHfFSBa8NdsukNPMFHKulOXzGUECeKbNzUpfPObeIZ0Z1Igl2EiXDRESUPornmRcx+FewRAlc6+gm5HqwC0yzbPBF4FpX/n6jgDzXLXYmt+P+SSf4/vLs1QfTX44bwr1tN3CeXKMPCd4rNGd49/LzlyUzaCflHvUcHDveFyIip4wvBK415m0YMSadYNpX1n/+LiMi8qYx4YFluncve+fxc9HUFzbm/T+UfjGlnahhH47hRtgclZp2jhsy+GSseWstutXV64r1F1tFURRFURSlI9APW0VRFEVRFKUj0A9bRVEURVEUpSPQD1tFURRFURSlI7iincfIcYisS8Jmc6hnJjY2OCqJOnXmsFUxDFFeOitwrLDBG8gHd5E5Ta2XAcJ5sOTUsRzY+Z3o9ENEtLQD+1LYKp1krObKUa6duvz3VhSvBauyTKi4shNB/ib5jKnX57FvpmQATBjPHQiqG2Sw51Aehf7x4/OijMccMGIn8d+XbhoQdRzubGNyZGTOCmv+8gzYE7+wUVRJXMBnKq01BPpv4LUG83/hySOISPw5247IOSpsQLvWg/1PjcuG+TjYLdluK8acvPLMUSUs/9bm62zoRYMHHyOYw31c7zVkqmDUu/299ap96P0Wycq9NHUbttOKybEKTzPnlWmcuHZEOhumz2I7SzsM+4INX7MP69S2yLGz59A5qG3ob/QUjp97LY7vVQNTos75Ip5Fr1XWizIzpaS4tpxcQzqPpSJ4b49H3yeiZhMdXjasRceac0eH5c3SKzt4EhmcxcZxwDOn/Z0sjckLwjgHIuEBT8ZARG6SrWnDOckdzCx+H0OyCOsCc7zdvEaU8YI4vvzctAz9FW0YEhMEc+wQYe0E8tKz0WNJG6pr5JoKFnBuAwVsx67JeWtHcY+6hv5SBL8P7AruL8eQpMaL8Ew2/k5/q0nIYKXRQZJ40g8iohrb/+xd5cXlfmsOZXzv3Uhif88W8f3bNuxRjhtdec28E4dE/cVWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekIrmyNreteFhFahkDTXFNr0hOR568F4lhx1NmtJhnDajS3XEvKtUOXruFztlhg6diU1CDFmPzNcmOiTG4nCxAeYGM3Itstuajxcgw63fRZFsCaFQnlZBIKq4TB6nmAaCIiy0L9Ew9YHTnP9Mokg1yTSV/WYlqrGGqOul+RulzRrokqjl/5tq3YhkE+VOtlg7WKperGeMBtWSZQ9Nc7NVNY0WXbqx2SbXA9b6XXoKErs0QgMWxnaafcx0HW30q/DBgfn8abV3vYPonK/paGMYh/dFEOcKCK10TweoMmuOdGDEa+o0sGJ3/x63vEteVM3eZ/NJu00bfe9AbY7+/dB/ZvPfXLos577jgA9lPnN4syNQ/PvHAbn/vAlNRh/qPtz4trnBZr5x9sfMm3zv7iGNgT5Ywok2QJJMIO7utdV4+LOieeQw3wbfccFmVe+N5VYAcLOAeLhvXbDmP/YjPyzHNKhmQ8y7AMgfM9Jru02gZ9L/NFcHtR92yZ/AHEvQ0Xm1iP7y5THZ58xa7L/rbS+D7zuP7UcHS1Iuz9YPi5zguxxAlMI2yV5fvNNmlqGVyHa1fxXWAaX499dtn5iigjdLd8/k2aW17H8H7zkvjub2XQNn1z1HrxvC2M+We6qpfwbH1w8HVR5nMH7wE7kJb6f3dm2TeGIZHQ26G/2CqKoiiKoigdgX7YKoqiKIqiKB2BftgqiqIoiqIoHcEVrbH1Wm3yrNaP/r9BX+RyvaFBpGixeHHOKr71ecy+ZEIUsYJMA1pGHQ2PJ0hE1Brrxzqr0Pg003ifYEmOQ349amELG+Q4JAZLYPfEsb9co0ZEdGYKY9CGc7LdSj/2j2uvoqcwviQRkcd0jFZE6pPFeDItrJfNiToUwXHw6oZ4qHxuWWxey6D35fon3jciEjrh2KlFsLObB0WVAIagFDpXIqJmEu8dKPN4krKO5y+RIs9hz2RznashrjHKMEX/iYiis9hurQfbSZyX4rzyCF5rZGS79S5sx26j3XdQDkQtgwNRHDUNzMqDZTdlf7NT3WAvFuKiTLchDvByEhel5o9r3Ux6zlce3wX2/t24R+/cc1zUsZk4+qohGZPWHcTxPHgRNbU7hlnsUyJ6ZhG1ultTUmucz6PG7weLW0QZzlgc9fOHyjIm7c3D42CvjeB+axo2weEu1O7+8IVdoow7ghrK+EWcg7IhTjCPj5w6I2OF9r+E821VWTtBw+Zn7weradBdsnegF+a+CXIcPKaFdQ1lhOaT6TttQ1+Ci+iL4sblud4OMi3sKt6BoRyOlWXQlgoNM+uvqY5dxDnxIjLOdYA9p9DuGuL58li3bkquB17GY3HQuXaaiMhqsjPOEB/XquP6dZgm2OUxdknGiA/U5JlXfXcR7FgQ+2Lab9YF+dwcb+itefP4nlgB/cVWURRFURRF6Qj0w1ZRFEVRFEXpCPTDVlEURVEURekI9MNWURRFURRF6QiuaOcxy3orqYHJecwKSQctPzweUNkQYNmqSscO0U4mhRfiKJRu9CdFHaeE4mjnzKT/fbajw0MrLqd0fi97BluKv1stFHefP4uObFZUjq+XZgLxmLx3JI/3Tr50HttoGpIbcIcH7gRIRFRHZwBTDHGOMUGHz71FcgjDOuPtijVERDZzbiMm9DcFNK+nWVcMMdzDS8ypawT7Eps2/O3Kl4NBk99IY7u1UZynyIR0pODtuAafkyXmjxOo4oO3a9LhIT6JZUIlOVilEXzO+DRLMGEIPB7J4UCEC7LM/Z96Guz+YAHv20aHRCKi6QZO3L5PXifKuMGV12IzKce3sJYnnZDjEMrjM5Ty2L/xJDq2ERH93PBBLFPuWbFvREStOvbFNUXOZ9yaOCmu1XdgO09PbPJt53wekwy0XbnGzxbxGeJs8zx6QM6JzQLAJy7IdpMXccwLH8qBHTiZEXX40LTicqwm3oPzMvwMOvNyZyIiIqvN5t90TjLsBp47JucsizkH2TXDmcfrMUelZlK+e92wv9eq08R90WTOZKZz0mUJGsKnFkQZ/p4RzsYB/75ZNfmu4o5fLhuXQN7gQcvGyuScZ7Fr3OnPlLDDyuGa8WLybOLzxp0UnYaca3cEnzG3Xd7bnUMn0EYVHepfSG4Uda6+Dc+DfafXiTLW4lvryKqtPpmW/mKrKIqiKIqidAT6YasoiqIoiqJ0BPphqyiKoiiKonQEV7TGdjlWwPAoLNC/0EsSEdns296gjxTNVlgAfkO79sLSim0ELsog6Lwdq1fq4TihSQxW7vRI7e7Yt1H/kt0q9XuVIby3M4w6Yrdp0GLV8dr87VKDFD+FWqt6agPYvd9Hza0Jr1yWF1nCAOK6Z1NAc6aPteIxUcSrsaDcPNmCcZ3567J5u/UdGOC+54gU0Na7WPD3AbnOghXUO7USOCflNbIvsUl/PVmQJ3pg2SHaYamz4npfg/yU4pMrazGDRdluO4J1PEMTiQnc6/U0jkM7JNcv1+rmNsoy37xwFdg9McNaZMw+uhZsZ0w+k8OWa5vFqi+PyIesDeD6TZ1YxfHdwmcaH+8XRbaux7NoeCgrypxt9IGdq6Hu7l09p3y78kCsKK5tDD4L9mo0tj+79nWws025jydrGbC/fnwP2OGk3G+tHI5nbE5q+tphpiVtYh0+r0REdh3rFNf7v2NO/ipunsFn5DN2HVgU1+TN+d5h68qg1fTTzxrrGdrhcP2pCbG3mS10xURk19h4GvSyFk9wwL4N3IQhSUKZTaapXa5JDbGNbBg7N4p9MWqYmcbWLrP1avAXcTOoaxVzbcCy+btLtps8jX4FbjAtyrRNSTyWMX+VTGLF+fmr9q/47/VSk/6dbyuX0F9sFUVRFEVRlI5AP2wVRVEURVGUjkA/bBVFURRFUZSOQD9sFUVRFEVRlI7ginYe89oeedYlsbPlGL7RmWOYMYkDcwYyOqGJSkyQbwraz5yZqnfs9G02+vRRsN3ZeXlrHuifY3Aes1nQ6+FnpBPHhfux3thX8JncsByXyiDa2S0yKHd1EO8dnWOC9vAqkmg0DEkc+JjbTPRumxwI/J2mOHxuLW8VQaKD0jnPyqDgPnJiGmy3Vwry692Y5IM7ihERVXtxPGNTWKbnsKmD6DBQ7TE4BraZ81iKO5PJVpvMPyAklxkFmcOW3UK7GZMOD6EiT9BgcJwIYr1gmbVrCIpfGsZrAUMs9dRncV/UAylZiNFbw4Zmr5d71vXxC01cNDjjWLgHeXILE10DBd8yj+V3+5a5NoFOnokQOrN8+ez1os4/2YyOYbNtOcCH66Ng/9bWp8D+9IEHRJ1n59HBzJQc4sICJnFYP4COVjPfw/sSEcXYOqv0y3YL2/A86HrK3ymmnkE70C/HoZlHpyOrgXvSlq8YmeTF4PjjRVm7zLHVI8M5yRy0vKDh3codk1p4b6dq6rA/PPEAdzgzJZQQSRBMjmz8Guu/XZHOhFaLOVY15TM1e3Aj8znwDIlh7Cq+z+qD/mvI4c5kTUMSoCJzfE5K713h7Mad58lwsLOxqnXJZwrnVz6Lzp8YXPHfiYjGw9KxNXX0rXdpu14jom/4tkOkv9gqiqIoiqIoHYJ+2CqKoiiKoigdgX7YKoqiKIqiKB3BFa2xBQxJEiye8MCgn/UaDbwgNCcSbxXBqD2mx4m9eNK/DtOyWJGwLNSdWbENZ3JBXItNol3fNizKDD+P+pxGxnBvfq8600MZ5LLOICY4qE2gnqjd7a8vsvMGnSCfS66FNWiuPZ6wg9sG+Jox6rSZTtgyaNKaw6j5a0exXddQx3W4BtQUTJ2tGR433bCcnYbHbFmGJ1eorsHnDhTkfnNq2Jdy0hBMXQwf07rVpX4rcwbnyaTD5fDnjs37B8Wv9Mlnym/AuY1P+7czvxXrhApyHCw2DsFV6GV7D/mPQ4NpoUtHUAO46WaZEOVYAfVvx9+Q+tPqjfhM/2Ltt8CebOH6JiIaDOTB3leXOrvnClvArrNEIFePTog6nxj5HtgvV2RSh8ecHWCfnusFu7HbkEkhi8/I9d9ERMElXCMlNlROw7B+986C3RWRGtvQEK6rIxN4Rme3Sp12+gDPXiDvbdKkwr+HpT+AwHBO8qQC/D4mDahluMZpZfDgsdgcBGcNwn3ROcPZz5IrWFXU1FoGPw4vjmMuNLdEFLqA79vWEO6DRl9c1AmU8V6hRYO4n/eFJ0AwJX5gmlqhpyUiq86urSLRBn/uyJL0M/A7kyPT/t9V8SlZpr7s+PLegYuM/mKrKIqiKIqidAT6YasoiqIoiqJ0BPphqyiKoiiKonQEV7TG1nIssqxL3+Ym7eOq8NPUGvRFXLvruaa4eVjPLfvraGym6THpaZv9Mk7tcoJZqUdtbUa9ltVchbbUEAeWM3EPjl1mk9T3Lk1mwLZTTN+54B9n06g+5PPNNbUmzTWP4WhaMxZrx8a7WyGpSfPqKFI1abkDJ1ErGIziXFe3S/1hPY26JTcgdUxBNnxch9sOyTpch8s1t6Z6mcP4THWUbhpxDHpZHv+2zXTZzZTsS3EM5yQ6K8s4TR6nkt0nbNAf2ngtVDKNA9pz1+E4ODL8pXjG/n0VWYjhshjLtV65zqZvxf7GJ+XZVetZeRxOv7jWty+UkOfDd/djrNur3nUR7B0RJuQnov3VdWAfKw+JMtckLoA9GsJ4s8W21JaebWC8y4pB3L9YjYHdHmda/rBB/830saGcXDM81nFpPZ4pVl7OSa6EfZk3aBTbNZz/0BTOfztkWJs9/v4JgZkc2G4K+7IaPwNTaFOuqbVqzRX/nYjICzF/BYMs066zM5rtUTchY7OK+6TlmnFYrFsvxtoxjIMbxzJO1qDvZWc/95MxvbxEmZYh/nB45fevaey47tYy6HCtEp5FfBwaIxlRpzSC+8sUT91msY8rvTj/Jj+O8BKLl2z4FBv5fu7y/2+163RcFjGiv9gqiqIoiqIoHYF+2CqKoiiKoigdgX7YKoqiKIqiKB2BftgqiqIoiqIoHcEV7TzmeUSe2bXIiBWL+ZbxiqsIAM2F5rZBpB3ABAeeIQC0uPf/296ZR1lVXfl/3ze/V1Xv1TxRRQEiFAJBBocgzoqJItF0xyGJ8lumf7/YPyfUpiUxabt7dRpjftGkpZVlr15xRZPGdAK2GmPEBFDiABSgTDIPNRdF1Xuv3nzfu+f3B7Gsvfeh7mMS62V/1vKPc98555677znnHsrv3pvWae1gddzd2EGr7W+moHKwZhxr4+/Fym0q0AcASFcMn5DB08fV374e3CbRwPsorcPeTRE/fgd7//co1mbUanwv/z5u38SEKlQObCO20jkF0iDdGgczlSBOBiSBh+G3d14wgvZOHWY99r6y3PwZff14nmWKT/zfodSRCQAgR+5lFtk7mPn7iDOkJqEExdLEfk9Xko7J+FxxPhYHWRa6RCAG8aagz50q0wVt5/1QMtzPB1Gx3d5pNdbInVlo8P9kBR5f9Bzej2cM3pvidRoDkxfn2ovvnRmj8XYj1FeH2bV0Fhvrl60XonJ1gO+b32v4LSrPDuxhdf7l8I2o/O1Ra1D5/Rg3RMCB1+Tabp6gwUHskK0gk8jUzIdyXCc42f5bED+KnXkDo7mTcLhneIffYwMk835CHBUzA3zS7/4bfG3UG3w/C/Xg/dcgTj5K51xKEiloHcFo4hpaR7PvWB7qmKvxgGIJA0jROXwiAAD+jAAapzPyDbc8GoffKEnikdM4eZFrFnH6cg/w7yZ1/DI0SREU+X7lSL/OuOY8Qd4BS+oAAKoYf38N4vzmTPB+Q3vwNTPI56KvHc8za1oFHx/BEyeO2Zr3Fj3307WTNd0AH9l2CwDyF1tBEARBEAShQJCDrSAIgiAIglAQyMFWEARBEARBKAhGtMbW8LjBMP6s99AlUnCTx8sjiYPS6F1Yv/kEQqZJHBzk3jmuc6V6Tl3iB6cH61vq3o2hcraI6+4sor3R6XMCe/vZtaEcmV3FrnnDeHzmBq4lCzfjZ/K24fHpdJidl2CtrmcK1+EWdeL37fcPrxE+Nhj7ZBA0sYYjaK+PM3xYv2U2aPRF5F32N2Otk4NPB3DH8Vh0etkskY07yatVujjfZFoVt/N1kUzjtWORpaQbC6VsL+93IIk7MokcOUU1uABQcoj00cTXG02U4MbLAoo7uYHjtSQpgibphJvILNMkAULvFPstVKcJ9h3B5fB0/OIq6yK2/QYDKXZtUnk3KnfWYpFw18s8QUNkOjZee2cZq3P3rLdR+YtFWC9raaKrhy2s700pvthvrd2Ayr8P40QQ5/p7WJt9KbwXeZz83ZZ48DMZZAu5pGY/a/Pm4WZUvm7UTlaHMnosTijRluGT6MU41iMrTXR9B3kGrxfPh1zWPmFOtIlPtOJDeP+iGlVHiq9Rps3UfN/o95bpIzXfUUfG/vtLx5MN4b1V0YwjoNGo6r7h5BksH56LhkY/awWwPR1pjV42hDcwdy9OgJAt0+jr0/gZ07XcJ8MdwfPXFcP3zpTzfl1EH2tkNdpdP34mRc5Iru4waxM/DycPCmzgayc1Yywq+/rwM+Y0iY28YTznfR3Da9qzOXv/gE+Qv9gKgiAIgiAIBYEcbAVBEARBEISCQA62giAIgiAIQkEgB1tBEARBEAShIBjRzmNgWYNeLEZxkeZ3Ip42ufj7s8KgAa11zmNkvIYmgLWVxgJqZz8RqxeFWBvfjnZUNsfUsDod86rZtaEUt3FxvYMEFdc53/gOYbF6cSt+xkxQ84xEZ+7QvLbSLThRhU78zyCOYLn2TlbFQZJ4qBRxQvFqPIGIU2Ki1t6RjSZA0AYVJ4kUPDH+jB7iJNU/ATt++Pp4vzmvfZDzQDd2ROidip+7fJe9I4jumcr24JeZKsfrItDNx1bUje9lufi2lfPhdgPjsK0GxvJ+PcRfUudo50rgZ/CSNlnNthOeYm+bzLkkGUALdgbp8/GOr2vGzkx7otyhM5nDiyedw7bKaaamu0szpwnL3rsClVun48U+t3SrbR+lzgS7djBTicpb++uHLQMATC7tQuUKX5zVoQkaLqo6iMrfrXqPtdnU14jKh5OaDY1wNGOfjOXRGa/j+8S4A5+XOBfvjGKHncNQanufRK0meUwWrwNnFO9nVkAzIajzlWYd26Jx4DI0iYEolg/PV2eMOAzpEu+whEmaOtQO5omPJVvFs7VQhzjlxPc2NA7gtI4zqdkviLMbdejT9ZuPfRnEmVAVcae0oo+xA6fSJDaKjCEfbbLdhvbxj7gZxPbVfS9O5PehyF9sBUEQBEEQhILghA+2b7/9Ntx4441QX18PhmHAyy+/zOrs3LkT5s+fD6FQCEpKSuDiiy+Gw4cPD/6eTqfhvvvug8rKSigqKoL58+dDW1vbKT2IIAiCIAiC8JfNCR9s4/E4TJs2DZYuXar9fd++fTBnzhxobm6GNWvWwIcffgjf//73wTck1ufChQth5cqVsHz5cli3bh3EYjGYN28e5DT/e14QBEEQBEEQ8sFQ+WQkOF5jw4CVK1fCTTfdNHjttttuA7fbDS+88IK2TSQSgaqqKnjhhRfg1ltvBQCAjo4OaGxshNdffx2uu+462/tGo1EIhUJwpfcWcBnHtB0OP9cXqQyJVq8LNE3J53BNNTy6fmkd0q+hCVhsJUnA9TzGYjSPR2WzMsDquEhChiPT7XVhiVr8TOUfc31nspxqQDV6ThudqNO0n36uhObelVifU9SBNTw6PY77Y/x/BQyfvRaWamxpAodj/ZC5p3lvkdlYV5f1289FWsewl25CJkR0z1U6jS2+Ftyn07Xi5/QdwfY1i+3l+X3n8Tle3I779fbjh3Jo5gMNTm55NBqvc7A2LNaInynnt59nZkij0yamKTqI7+3v4f3Sd5Dm+Q7AQbYmD8kdoguuTpmyYDu7Nju0D5VfOHwRKvcNcO1uqpfr6ii+yiQqWxZ+xh/N+LVtHzqu8veh8o+PzrBt862y9ais20KOWHhtT3TjefZhhj/zT9quReX+NN9Lxwextv+tzZNxBc1YXAN4zpQ09/FKhJk1eK9yazK49KTwPr51zbmsTo5sTZVbiGY8wud8oHX4QPkAYPstNTQaVqoTVbo+aAKJaJL8rtPYUk0wv7eRxddoYgKrlK8LmthIhzNBkip5aGIb3kc+/iCGietYAZrYiPfrDuPzg9a+BOXF78TZy989tZ0Osw5vcrEmvL6C+7gOPt7I1xdl6Pcga6bg/d/9A0QiEQgGud4ZtbPt+QSwLAt++9vfwoQJE+C6666D6upquOiii5BcoaWlBUzThLlz5w5eq6+vhylTpsC7776r7TedTkM0GkX/CYIgCIIgCMJQTuvBtqenB2KxGDz++OPwpS99Cd588024+eab4atf/SqsXbsWAAC6urrA4/FAWRk+4dfU1EBXV5euW1iyZAmEQqHB/xobG7X1BEEQBEEQhL9cTvtfbAEAvvKVr8CDDz4I559/PixevBjmzZsHy5YtG7atUgqM4/zp/Dvf+Q5EIpHB/1pbW0/nsAVBEARBEIQC4LTGsa2srASXywXnnXceuj5p0iRYt24dAADU1tZCJpOB/v5+9Ffbnp4emD17trZfr9cLXi/XQxpOBxjGMY2IFU9qf7fDTmJsaGK2aTrh7WjcWtqE6n91bXQaWwM/k9q1H5U91hjepucoKvpHj2dV3HGs6Qn04vtkirgtK7Zhm7ddwzUzgU785PE6e3sGD2M9nH8rj5jhGYXjX/ZPwjFqgweJXhmAxZtVGc0/pKjNa/B9QPPe+mcOHwMYACBZie3n7cf2TpVz+2ZISGIaQxUAIEOkRhYJSZqp0cwzN9FvHeb69CyJC5sp5XpZSrwWv1tPlK8LM0B0wxae8yX7uMaLxn00S/hYSvfgGKnF7bhfV5KvpSPT8XyNlLAqoDz4GbJEmpku53OI6ohdcV7HnbDZdzQ/d16G++1Lc13gujDWWV5QdRiVZ4w5yNq8fvQLqHxF2S5Wp9mLYz735LCxBix7ne4oF5/AG4mO9c5SrJ99LUY0rACwcgBfmx3Yw+p0ZPH/EdySwgtljPsIa/Ot+ndQ+aUjF7I6a/fjvbOsPoLKkYhmD9yN52LEw0XXl12M9dKlbjyfaVxeAIA9GRzHuKidVQE3kTYONJHvRxufm5kSvPEUdfEYpJ6u4XW4ulinNN6sI6XZm5LEpyGPbziL+eri91YB6gdhr3O1i1ELAGCQ+Lg58p2kvwMAONJ5OEuQZ7I89vFxWRc0vq+uThLXMetKWR1Pu+bDQ3C3Yu15aZT48Wh0ur6jeF3ERml8XoZ8h3Jm/n+HPa1/sfV4PHDBBRfArl14Y9y9ezc0NR1znpk5cya43W5YtWrV4O+dnZ2wbdu24x5sBUEQBEEQBMGOE/6LbSwWg7179w6WDxw4AFu2bIHy8nIYPXo0LFq0CG699Va47LLL4Morr4Q33ngDXn31VVizZg0AAIRCIfjWt74FDz/8MFRUVEB5eTn83d/9HUydOhWuueaa0/ZggiAIgiAIwl8WJ3yw3bhxI1x55ZWD5YceeggAABYsWADPP/883HzzzbBs2TJYsmQJ3H///TBx4kT4zW9+A3PmzBls89RTT4HL5YJbbrkFkskkXH311fD888+DM5//7S8IgiAIgiAIGk74YHvFFVfY6lLvuusuuOuuu477u8/ng6effhqefvrpE729IAiCIAiCIGg5rc5jZxUHF8GzA7hOcK1ph9toBNjkL8sqqxGDZ0jgZuJ0pHMMM0jQaEPjMEcd1RS5j7UbO5MBABtvoCvNqlCHnJKPelA508gdHpSbCuX5rYMH8XNHx+D70ED1AABFB7BjgtIIzx2teHyVvTi2saLJLoDbijqTAQA4irFDjjJxnaMX17A2BnknrhSfZ94wnkdHp+J559b4YiiyOtPlvE6GJBXIhbCtKmt5zOfo5gpUjtdrkgwE8bsNdBIHDc3/XElV4jqh/XztmCTpRHSMg5SJxxwAVLfg+WoWc9cAR25457ZkNV9Lxe0kaLvBHypRR5zHimmZ3ytRR5KbbNMMyGbbCWgcdio24WfY7m5gdW44/yNUjpjYqas3ywOb31S5GZV3pupZnXJXDJXP93agcleOO7It7bgalUNuviZvq3wflX8VnY7KH/SPYW2+WI73uL9edQ+rM3UijpwzrxrbxQT+rrvMUlSmyS4AAN7pb0blcIZ+C/jcTFaTPbuMv9ucwhOiM0UcuFx8z55die3w8/PrWB1vN95EQvvwWHSJbALdeFN2H02wOtly/L5dYexIbKT5M9KkRcpn75AamYaddy0XXzg0+L8zzMdrUOdyMhYjYz8WLWTvd3eGUdmsLWVNsiV4HefjCGaRxBW6CFKWD79rZ1TjQE0wUvg9uRN8njFnPM29mXMeITa5gl3LeUg/GjNkgkOcx3TO3sfhtDqPCYIgCIIgCMLZQg62giAIgiAIQkEgB1tBEARBEAShIBjZGlvLAjCO6fiOl7VsKCqvWM959EO0mdo2Ng52+aBLDsG0uSRhAyiua6T9uI5wQaerH9exSrGGKhO0nyqle/m9MyHczh3Ddinq1Ihsqe10OmiqSyIBtw2fRp9M2qgE12JR7RVlqObnEzzEnDQJAQBAsopoVBux5kujSIPi97E+sqSNa41L7sdawkpfjNWh/GkMfrf+bTy4vouYJkueKT6Kz2/LQ4J9F3M7+LuJHUgVs5j323Uhfpflu7gdzGI8f6l20Jnmc1MR3VrlNq5Ji/XhjBe9M/Dvls9+nScrddFeaFB5/GuiimvWopPwvnP3xWtYnb0JnCzkvGKshe02uca2PV2Kyi4Ht1WFE8+rd5NjUfmaANf21/tx8oKbSjexOs91XY7Km9qxbtjxEc+asWcmTkzwyJzXWZ2Ag2sFh0L1tAAAk704w0GTiyf9eXHcRajc3ol9D+ZOxYkWAAB29teicnWA779ZC8+RPpK4Iuvl+9LBAaxbHDeep6T3N+P9dUfZaFSubOH9xhpIlhda1uBMD6+xBAAI7sdaWEc4zurEm7Gm1hPFaz0ylmthB8bh/cwT4WPxd+J7GWlsF0OTLMIqJt8Q3beBJofw4PFZPr72HRmyvjRbiDNBfGc8RMut8yliiSr4eC2ia3YS/xVDk4CIfluPXs61/QZ5JGcaPxTT0wJAqgyPzx0/9TPTJ8hfbAVBEARBEISCQA62giAIgiAIQkEgB1tBEARBEAShIJCDrSAIgiAIglAQjGznMacT4JOg6nk4a+mcsSgsiH8+2DgcHeuYODfpxkIcw3RJHCgGEavn5bTW08suJS+egMqBj7tR2evjU4UK2t0DmkQKRHjeOxU7KiVquZOXM4WvVX7InQHcH2OnKRUjzgFe7vDArll8vCpBAo0TQb5ngNs3Mp5d4vcmuSAqfo+fKV7HxfUZkqvAaOX37v6vJlRuuz6MyqkUd7ZwtuJ765wqkzX4Xr6jeHyj39QEmScOLvE6Pmd6L8Htinfhd5Lz82c0G3Gb9ol8vCqLx+eMkGDlCW5fmnTCmeZrMnAUzxHvUdxvskaTwIWQrshjbyJTMdNg3+/H8Vp2rdqLHZNaInh+XF+BExUAAKzononKNX6e1OPHh69D5fk1H6JyR46v4wHT3qHoSxVbUfmjVyehMnUuBAC4fswOVD6c5sHfvQ684JzEu+VbpRtZGzdZ630Wv/klNcRJjuRr2XgUO2cBAJgWXhebN/INo/zcPlQO+rAjY0eMJy5pPYwdrb4yYzOrE8/i97InisfiifN5lgrZf8/cCeKIS5q40nzO7/obPB8mPsfvbbmxzXtm4v3Bh/PyHLu3ge+VqOH7TmA/3kMMkniHfnsBABw0MYEO0g/tV5d8gTl+6RzBiOMXdXTVJdbI+UmCJ91ZgDpQk/NDuqGUNem6iCaU4N2yBEPkkSp2cMfcIuLrmPNyew+1XzarcWw7DvIXW0EQBEEQBKEgkIOtIAiCIAiCUBDIwVYQBEEQBEEoCEa2xjaX+1Sclod+FiyNOIRoa6j2VVEtDgDTxGh1uXQ8tKzR3tBkC0oTLNlwkjpER2O4NK+U6oc097Zc+JlyVVjTpdMKebvtkwHEzsX9lLRie/ZO5eN1EHPqAk1DBQ6MDn0RXscO3TugmmWis3In+ByqJLLFvol8LmbKcTsajLp0Lx9Kzkt0VZqpSORlkN5eOuzvAAD+Htxv7Xs8YDzVT5vF+D0pF9eF+Xqxjsqd4O92oAlrrE0cWx1yRdy+voNY42W5dTpcEpC/FpfNXq4Bpek5ajZynV2mmAQRJ1Pec1GYtaE4Xy2zrVPciV9u58UaTTt5hA0vT2V1ApceQeUbGnDCgH/aeCNrM70J69UvC+3mAyQSzzFufJ8Xj85mTS4txf38w96vsDpfrD6Ayt4+8m41Gtu3ln0Rla+5+z1W55YQ1tBGiPFSmnVB5fNduSJW5+oSbM9n2q9C5daNo1ib+27ECST66nm/B5NYJ3wgisttXXwOufrxHHl1B58Pqg8/dxl+1dB+FTeE5ygue8P8JeT85Brpxrq2n7VxxLDG9tCNXDcc6MAdZSfgVar6cOIKAIDQx3z/osQmlaOyvwP7Urg6+Xjz8lehdWiyJs2Rw3LjPcWR0fjSkH7cEbK/acZmlmL75jR+Me4+bE+DnIm8bWHWptYoReVEDffbCO3GG6ORIlrjND8jWcX4W+DJaD5wQ8jmhk+6MhT5i60gCIIgCIJQEMjBVhAEQRAEQSgI5GArCIIgCIIgFAQjW2PrcHyqS80nlqyZfxy0T++hEXlRbabB7+3wYm0Ti0mriZunSMxX7b3pc9LYt1muU2ExczX9ZoI0BmkxKldsxXFiAY6jfSU4SDzDyFisz/Ef0Wh3I/ia9yCPu2sFsdbKQWLUKt27JjofnTaaaphpnEJ3zD6+qC4eqnsA99t9IX5GqnsFACjdh+8dr+X90jifgQ6iy9XoiIs7cL80RiIA14F5IvbxnWkb9xE+Z+rfGX7ORMfw+MPeKLa5pdm1Up1YXxaeQtaBl783sxw/tyPLbVXUhecR1Q23HcXrBADghqk4Nuvb87h9E/uwvjA8Cb9b+h4BADIhPD6q9wUASK+qQuXlpVegssvJn3HnDhzDevOkRlbny804dmxJKdYoBl08TuWBNB7LXU1/YnWW/PqvUDkzC7+3wAGu5yu9HAfAfHUF1/fOvANrdye4cQBU3Sp2E6FohSPJ6qQMvA6+Xvc+Ki8uGcPa/OLQBajc3cr1soFKrH0MBrA9S8v4WgpHsW3mjN/H6mx8bQpu04yf3JHWfLtMPPdMPsUhXTa8/tSV4/0qEhfYcz7Xtaam4nZzRh1G5fVbuY44PLlk2LEcuzku9tyA24x7kduXQfWzAJCrwMah8WU9B3jg3VxVKSpnKni855wP7wfeHjw+y8fXhS62LYNOfOLHY9AzCAB4D+EYy779vI4KkGfIQ5/sDNv76Aztx7BEYysIgiAIgiD8hSEHW0EQBEEQBKEgkIOtIAiCIAiCUBDIwVYQBEEQBEEoCEa289hQ8ki+QJMZ6DCIQFyX8EDnoMXqaJzDTgd2/TJHMW0l/u8ZVxLbxkmcvgyT39fycwG7HcHD2HZF+8Mn3AcAgKN/eOG5oXEmVNbwyTiOVSJzhCRo8LXZBwP3NnDnEG8YlxO1eJ4l6vn8jTeQQN4a7XzOj8dbvg3/XtzG56q3316E7yQBth0J7DSTK+EODxSznAdTdyWGXzvuOJ9T0SZsB99Rvo7dMXyt6n383jx5OP0pjXNI1j/8eireyZ3ddo6uQeXmSu5AstUcfuuN+bjt/G14LDl+a0ZoL35uQ7N9eAbwxU7Nux0/oxuVgw7s3FTp5uuiPY3XwU93XcXqUK6Zhp3U3spOZnVCP6tG5aIAnw+PvfgNVP7O13+Fypf4D7I2KUWcHw0+ZwLEgK8kG1D525f9kbUZyGF7biuq5/268Pp6fzN26HPG+H527gU420JrjO875Zd2sWtDOTrAk0UAfiRIJ/madHaRbCHEVGaGz+/66jAqVwf4nJkWakflWA7fp+rKDtamdVstHkoRn+SuEuwk5W8h60vnGBYk60CX2MiN16ThwIZwujQOv158zZm235vo+GgCHQAAg3y7LOoIralD+1WaNtRhXdEkRjqoPTVtLD/ewBJNQVZn6JLMmimAQ/a3BpC/2AqCIAiCIAgFghxsBUEQBEEQhIJADraCIAiCIAhCQWCofISnnzOi0SiEQiG4yncLuIw/6zR0mkqiR6X6WR0sSYIOXeIEAtXmGm57ObOV5EHOWb8eG2GdTmuczysmelMj4EflxIwm1sTfiYNGRydwjQwlUUX0kv2agNBh/N6KtnayOiqJg6cbRVyTyCDBqLVJHEgdyOO99X1pgm2d/mY8Z1wJkhxAo30kkj+IT7BPklDxHtYyTfhfH7M6u/pw4HzjfypYncoPsYY53pCHfQlFB7kOOl2N51V4vL1QtLgDG8eZ4nPGYRItKZnysXr7+2SC9uuaas+pNh0AIB3CLy4wn+scO3fjdwDk1r5urqGr3oznZqKKz8143fDPoJtnlOQ0npjg0nP2ovK+SCVuY3IN3TllPLEKZccRrEeeMwonVujL8HlH2+gI+vIP5v4JL0z6uW0dk7wokyxSn0bEfMtHd+E2OXs/iFQK23NsVR+rc355Gyqv7jiX1Ymn8LxPJXHZ5+d7iteNdfCjQ2FWZ/t741DZaMIJJswYX283Tt+CynOCu1mddwf4MwxlUy9PHkLnXm9rKavT8CZ+byVbScKOkGZ/y0PXSq85Mvj9u7sirE2uDOuaMxV+VscVw2vdFcFng3Qtz5rhyJLkG0nuz0DHZ2RIHd0ZiSY2Cnh5HXYjvC6MNP/WGkm8RmNTa1mdTPGn/eTMFLT89/cgEolAMDj8WUP+YisIgiAIgiAUBHKwFQRBEARBEAoCOdgKgiAIgiAIBYEcbAVBEARBEISCYGQnaHA4tMkGPiGfZAXKtEm2oHTOZMTRSie4Jg5bijoladAlg2B1bBzglM6JLoPF31q7UKcz4njnb7VPTGAG7J1vSKxyMP28DU1moHXgogH3icAdvBpnIfrcOucxci/DhwesAjx4farc/t+HmSo8z4wemviBt+m/BIvrm+q4Awnja7j43ofcGcMdJnYYx6qAWVyCyt4wns/5vGuHyYO/OzP4vfn67J01hzoQAAAEEtxBh8bSpwkmXCn7tZWosd8vsuS5/Uf5+H39eF51fcCdIuq243aRsfgZk3W83445+BkcmulbsS0P51dCrA7fu6Gqn9VZu/68YftomMiTUOwkTl7lRQlW5+axH6Hy2z3jUfnIAHeS+eKog6h8RSl3kKT8V+eFqBx0c0fdX0Wno3KThzu/lTixY904F16Tr8d4Qom+tlJU9nXZz8Xmq/bjPpLcuSngwHteMsMd+BJh7JhUXI7fgcfFv3+zanDihzdbprI63nHYMfSqsXtQ+cISPH4AgN1JvA5Mxe1wju8IKv8pfA4qW0qTRCVHHJVMzd5EL5HvA01AAwCgyPfCSR2tAMBBEzTkyHdfk6DBMYDnnjfHHVCzoeEdtLxd3DHXrMRzxPJz+5qluF/fAfJN0X1raXIFzRmDkaUZO7jtrBD+Pvg7+f5QFP10vWVz+TuEyl9sBUEQBEEQhIJADraCIAiCIAhCQSAHW0EQBEEQBKEgGNka2xOEJmwAAJ5swSJ6l3x0upqkDvYKRA1urpFi98raaII1CRrySUzBkjiQ+xhtmiQJTfXkgv1tWPxy3dBIP2ogzuuQd6moxlaXaIO8a0Nnb6qNTpBg9RqNbT4YafxvyEwZHl/Wz/+NWfYnrIeKuOpZHQbppjrCX4rJZYv83ruwnqlvEh5Luty+j7BGr+WO4fFQbWw+mMV8TdJkFk6TaJiP8nVzdAp+Jqcm/wXVFueI9E2nNc768L1HreXasN4v4I6qN5Obb+ZjSYdwv0dm8DnTeSl535b92qdyyHiG69M9tVz/NpSeCJ9UFUG8bi+p4rpLr4Hfy2PjXkXlRTv/mrXZcmTUsGMBAOhOYY34NVU7UXl7jPfhIJNxV6qO1Qk48bt8tvdKVN6xfTRr463Ctisfy/czqh0dyOD54dVoYVccmIb70Lzr8WO6UVmXSIPy9mtYa+yexMdbW4p9Li4L7kLlf9l+PWtD9bwXTuLzodSL7zWuBo//H/rmszbhXjL3PHzPS90Vxm3W4AQjo9ZEWRtFvhfOfm4Huq8rP1k7Go1tthTrnjMhjT8IeZU5N35G7xG+Hl1hrN3NlnCdrreHtCP6WXUyZwUAgBzd18nGTnW6AOCIDr+nUAzL5uwztO8T6lkQBEEQBEEQPqfIwVYQBEEQBEEoCORgKwiCIAiCIBQEI1tja1nDivR02tfPDRp9Zz5aWDsNjOEbPv4dgD52r+HR6HxQI412tx3HrvSOC9reO9CL+4lX8ynoCRO9oakRP9qgEnnod3Qx+4jG2ghgPRTEeL/BVmzPo5N4v/4u/G/I0H5sh/5J/L36wriOe0Dz3qgmnBBt4vOsqNt+XXRcSjSgLfjeVgcfr+W2n7/uuEbnPgRH2n5sZgm3L90G6DrJhHgbqpfVQeNSlu7Bc9Hy8L8NOEisXncfnzMN/4NjpOYqsCY0PprHAKbxfEGj1VQxvI79B23WNQBYZIr0doRYHVc/tp/lxnapmHiUtfm/Y9eicpWT6xgbXRFULnFg2z068XXW5sn916Ky28HnVKkH23xvAsfU9Tr4WqJxa5/cey2rc2H1IVQ2c1hD+eAVb7A2vzw8C5W7t1ezOlQL7TsH22pUCNsJAKC2BOtc93VVsTp+Fw523FAURuX17VwTbE3GMVKd27l++vK/2ojKHWYZKi+Y8D5rs7Z3Ar53jAfQnll0kF0bSngfF/e70th2xc08DvOUSuwjsrYR9+OInJjecxCiJTVMMhc1Z5B0Od546B4DwPcz/14c3zfTVMHauI4Sf5CTOU8482ijiWNrKPLc+Ry9iO2URoc7VM+rTuDvsPIXW0EQBEEQBKEgkIOtIAiCIAiCUBDIwVYQBEEQBEEoCORgKwiCIAiCIBQEI9t5zO0GMP4sODZN9rPhJMGT7ZIb6ND5upxM0gaaCCKjcYhy4ddhaO5Dr9FnUhmNHfLoV6V5EHmEbiwWvlfJ6o95Hb+fXUPMaGSX3N3YUUK5NQ4wdLwkYYOhcQxjTnOG5t919DGJuF6luJ1KtnShsjvKnThar8XP4CAOA8F99tktaBsAACM7fDtPjP8eGYsf0pliVSC0D8/fVBlu443yhZEjzmPJam5fM4Cvle3G/bjzSPKRrLT/93jgCEngQdcfQF5ZVDJBXCmdxA4OsVq+Lqo+tHdEsYIBVD54I3a8zIzRvBTChGrusHVwVxO+D/HHCO63N3C63P6z4CTOTr37uVPP9zpvRuXGRj7eKeXYqWdyUTsqX+DnQfz/34RfofIHifGszuzAHlRuIk5U39h9K2tT5cHOWJksf7djfPgZdkWwU9rz+y9ibYI+vGecN+sgq7OvFzsDZXbj+fCFuTtYm19vmsmuUTzESW6UL4zKM+vtF4HVqHGQJFl09iaxQ9wb2yezNgumv4fKTd5eVqfUqUnGM4THvvRrdq07i50dqZMaAMCa7RNRmTqcWUH+nYpMxA6d5X9qZ3XY94F+dzQJGqjDr25fp+Sq8DPSJDAAAE43vpYp5c5YrkiSXcM30oyFvH6WfAEAjCy5lh3eSfhYv6RjjfOYkfh0H9Td97hd511TEARBEARBED7HyMFWEARBEARBKAjkYCsIgiAIgiAUBCNbY5vLARjHtBzaZAw6XZ0dOt3lyWBzb21CBKITVbk8dCp5BGHOyw52+hXdfaieSGM7ZaO1Cby/j7c5mXtTW+kSF1D76nTONm10WmMVx7olbzsPpl73LtYgFm/W6LUIfZdh/XH/ePtg+w6iuXVwyTW7ltXIoIu6cD+KPHbOw98J1bG6B/g7KGnF88wiAcFzXj6Hsn4SgL0jD608mc7ODJ+HnrD9Wqf37pmJ2wSwRBQAAPqasUHL9nJbORP4Gca8hvWd4X/iWrj+AazLVYr3e/tNa1B5+W6sw0xFsG4QgGusi1v5e4vyWPqI6nO4fjbyAdZdtrm4DretE197IzYNlevG48D0AAALmnDw/3nF21mdrRl87xIH7ufSqr2szX/twbZ6YtpvWJ1wDifOsIhQ+9vj17E2a/qwvnNnbw2r43Hh+ZmowXuTLqFEoAzPkaZynpigZRt+cZ1j7ZPoUC6uOsiu7Ylj++6LYI3wlc27WJufr74MlR+a+1tWp4pobI8Qe49297E2EzzdqNxYx+v8XH0RlXeqelTuvognJcn5cLmsyMZfBACMJNZTKx/fswMH8feBtgEASEzAfho0qYMrwfezVD3eHzxhvvlny/AzGCSZjCOl2VvJHm1kNHXo+Yt+szXnC6uEjEWj71VDNMoqZ+/b9AnyF1tBEARBEAShIJCDrSAIgiAIglAQyMFWEARBEARBKAjkYCsIgiAIgiAUBIZSKo+Q6J8votEohEIhuMp3C7iMY+JsrfMYReVR5zNyHtPemiRSYAGMAbgImzo36drk42Bm56imS0qhuxe9tSboMq6gGRt5l7rEGsxWhHyScdAEHnmhmR9GgDgV6OxCEoioilLbWx34qwrbOmW7sa0yRdieTo3zmIl9DCBZzd+Bl/uhIPy9fC1lfbifKI+bD54IrlP7HnaAcWqcF2JNeMDJcm5ff9/wa3tgFJ+/nije+rIBbgfq0BAfhX/PBfj26Y7kMa9IFfcAKV/Bg9dTJpZzxyqHgccTzuC5uaebJw9xfViMyoZmK4iPwxNp8sQ22/FtP4AddFxH7J0fAx1kDjXz+eAuxd5upSXc0a63FzvJ/WT2clT+coAYHADWk6D9ccvL6uxK42d66q0vo3LFOdxxySDvZEyI16FseRsnGXAl+dy8an4LKt9cvpHVufu//w8q5wJ4nTRNwsllAPgcGlfCHQOPpPCcyVh4fVX6YqwNZefRWnbt4XNX4Xt7elDZUnxt1Tjx+x9Q9j7xN/32AVT29tg7JukccRvewvPI1cMdhykqQLzSaOIgADBriJMf+U562vgcypWTd1LmY3WcqRypg9ekv2P4BBkAwBxzAQAMc/jzg6E7X+RxfoAhx9NsLg1/+PjHEIlEIBgc3glS/mIrCIIgCIIgFARysBUEQRAEQRAKghEZx/YT9URWmeza8A3zyTV8ms76mhiTdhh0fJr/7cKeQZE/8evaQB5jof2w3zX/q0Z7L3JnXTxZVEEzNvKMSmmkCDbvUteG93Ey71ojRbDoNZ2EBI9H5XjsQkounbKtkzWxHXIZYk/N/z7L0RDAaf4O7IaXM7n9c0R+Y2mGT++VzeJKKsffW9bE9sxlNLFuNePB9+XzN5fBczPnspci0GeyHHx+59J5zCtyKwextyNhPz9ML4/DTP83spnBz20l+EvJpfGE0EkRrCSeSGbcPga0lcT3slL2+y+dH1aSzwfLg/vNObmtrCSWQCUG8ENFNdK1OJMiaGKFkhie9BlzmvdGpQimKw/bpUi/mjWaieF3Enfz8dJ+LAM/dzbOx0vnUMbg4zXT+FqW7IFmzv4ZdbZKxPAzxN0k7rXmczLgxHVieXzn2XtL2UsRdJ8Uun+BZb9uVY68S92eR/sl30mH5j65HJ7zOjUejStP981sHt8lrRTBRsqo/T2f7y+RIhy7ZH/WG5Ea27a2NmhsbLSvKAiCIAiCIBQEra2t0NDQMGydEXmwtSwLOjo6oKSkBAYGBqCxsRFaW1ttBcXCiRONRsW+ZxCx75lF7HtmEfueWcS+Zxax75nldNpXKQUDAwNQX18PDhvHsxEpRXA4HIMnduPPf6IPBoMyMc8gYt8zi9j3zCL2PbOIfc8sYt8zi9j3zHK67BsK8dTHOsR5TBAEQRAEQSgI5GArCIIgCIIgFAQj/mDr9XrhscceA6+XB9MWTh2x75lF7HtmEfueWcS+Zxax75lF7HtmOVv2HZHOY4IgCIIgCIJAGfF/sRUEQRAEQRAEADnYCoIgCIIgCAWCHGwFQRAEQRCEgkAOtoIgCIIgCEJBMKIPts888wyMHTsWfD4fzJw5E955552zPaQRyZIlS+CCCy6AkpISqK6uhptuugl27dqF6iil4B//8R+hvr4e/H4/XHHFFbB9+/azNOKRy5IlS8AwDFi4cOHgNbHtqdPe3g7f/OY3oaKiAgKBAJx//vnQ0tIy+LvY+OTJZrPwve99D8aOHQt+vx/GjRsH//zP/wyW9WnSeLFv/rz99ttw4403Qn19PRiGAS+//DL6PR9bptNpuO+++6CyshKKiopg/vz50NbW9hk+xeeX4exrmiY88sgjMHXqVCgqKoL6+nq48847oaOjA/Uh9j0+dvN3KN/+9rfBMAz4yU9+gq6fafuO2IPtSy+9BAsXLoRHH30UNm/eDJdeeil8+ctfhsOHD5/toY041q5dC/fccw+8//77sGrVKshmszB37lyIx+ODdZ544gl48sknYenSpbBhwwaora2Fa6+9FgYGBs7iyEcWGzZsgOeeew6+8IUvoOti21Ojv78fLrnkEnC73fC73/0OduzYAT/+8Y+htLR0sI7Y+OT54Q9/CMuWLYOlS5fCzp074YknnoAf/ehH8PTTTw/WEfvmTzweh2nTpsHSpUu1v+djy4ULF8LKlSth+fLlsG7dOojFYjBv3jzI5XKf1WN8bhnOvolEAjZt2gTf//73YdOmTbBixQrYvXs3zJ8/H9UT+x4fu/n7CS+//DJ88MEHUF9fz3474/ZVI5QLL7xQ3X333ehac3OzWrx48VkaUeHQ09OjAECtXbtWKaWUZVmqtrZWPf7444N1UqmUCoVCatmyZWdrmCOKgYEBde6556pVq1apyy+/XD3wwANKKbHt6eCRRx5Rc+bMOe7vYuNT44YbblB33XUXuvbVr35VffOb31RKiX1PBQBQK1euHCznY8twOKzcbrdavnz5YJ329nblcDjUG2+88ZmNfSRA7atj/fr1CgDUoUOHlFJi3xPhePZta2tTo0aNUtu2bVNNTU3qqaeeGvzts7DviPyLbSaTgZaWFpg7dy66PnfuXHj33XfP0qgKh0gkAgAA5eXlAABw4MAB6OrqQvb2er1w+eWXi73z5J577oEbbrgBrrnmGnRdbHvqvPLKKzBr1iz42te+BtXV1TB9+nT4j//4j8Hfxcanxpw5c+APf/gD7N69GwAAPvzwQ1i3bh1cf/31ACD2PZ3kY8uWlhYwTRPVqa+vhylTpoi9T4JIJAKGYQz+Hx6x76lhWRbccccdsGjRIpg8eTL7/bOwr+u09PIZ09vbC7lcDmpqatD1mpoa6OrqOkujKgyUUvDQQw/BnDlzYMqUKQAAgzbV2fvQoUOf+RhHGsuXL4dNmzbBhg0b2G9i21Nn//798Oyzz8JDDz0E3/3ud2H9+vVw//33g9frhTvvvFNsfIo88sgjEIlEoLm5GZxOJ+RyOfjBD34At99+OwDIHD6d5GPLrq4u8Hg8UFZWxurI9+/ESKVSsHjxYvj6178OwWAQAMS+p8oPf/hDcLlccP/992t//yzsOyIPtp9gGAYqK6XYNeHEuPfee+Gjjz6CdevWsd/E3idOa2srPPDAA/Dmm2+Cz+c7bj2x7cljWRbMmjUL/vVf/xUAAKZPnw7bt2+HZ599Fu68887BemLjk+Oll16CF198EX75y1/C5MmTYcuWLbBw4UKor6+HBQsWDNYT+54+TsaWYu8TwzRNuO2228CyLHjmmWds64t97WlpaYGf/vSnsGnTphO21em074iUIlRWVoLT6WSn+56eHvYvXSF/7rvvPnjllVdg9erV0NDQMHi9trYWAEDsfRK0tLRAT08PzJw5E1wuF7hcLli7di3827/9G7hcrkH7iW1Pnrq6OjjvvPPQtUmTJg06ksr8PTUWLVoEixcvhttuuw2mTp0Kd9xxBzz44IOwZMkSABD7nk7ysWVtbS1kMhno7+8/bh1heEzThFtuuQUOHDgAq1atGvxrLYDY91R45513oKenB0aPHj34vTt06BA8/PDDMGbMGAD4bOw7Ig+2Ho8HZs6cCatWrULXV61aBbNnzz5Loxq5KKXg3nvvhRUrVsAf//hHGDt2LPp97NixUFtbi+ydyWRg7dq1Ym8brr76ati6dSts2bJl8L9Zs2bBN77xDdiyZQuMGzdObHuKXHLJJSw83e7du6GpqQkAZP6eKolEAhwO/KlwOp2D4b7EvqePfGw5c+ZMcLvdqE5nZyds27ZN7J0Hnxxq9+zZA2+99RZUVFSg38W+J88dd9wBH330Efre1dfXw6JFi+D3v/89AHxG9j0tLmhngeXLlyu3263+8z//U+3YsUMtXLhQFRUVqYMHD57toY04/vZv/1aFQiG1Zs0a1dnZOfhfIpEYrPP444+rUCikVqxYobZu3apuv/12VVdXp6LR6Fkc+chkaFQEpcS2p8r69euVy+VSP/jBD9SePXvUL37xCxUIBNSLL744WEdsfPIsWLBAjRo1Sr322mvqwIEDasWKFaqyslL9/d///WAdsW/+DAwMqM2bN6vNmzcrAFBPPvmk2rx586BXfj62vPvuu1VDQ4N666231KZNm9RVV12lpk2bprLZ7Nl6rM8Nw9nXNE01f/581dDQoLZs2YK+d+l0erAPse/xsZu/FBoVQakzb98Re7BVSql///d/V01NTcrj8agZM2YMhqcSTgwA0P73s5/9bLCOZVnqscceU7W1tcrr9arLLrtMbd269ewNegRDD7Zi21Pn1VdfVVOmTFFer1c1Nzer5557Dv0uNj55otGoeuCBB9To0aOVz+dT48aNU48++ig6CIh982f16tXa/XbBggVKqfxsmUwm1b333qvKy8uV3+9X8+bNU4cPHz4LT/P5Yzj7Hjhw4Ljfu9WrVw/2IfY9Pnbzl6I72J5p+xpKKXV6/vYrCIIgCIIgCGePEamxFQRBEARBEASKHGwFQRAEQRCEgkAOtoIgCIIgCEJBIAdbQRAEQRAEoSCQg60gCIIgCIJQEMjBVhAEQRAEQSgI5GArCIIgCIIgFARysBUEQRAEQRAKAjnYCoIgCIIgCAWBHGwFQRAEQRCEgkAOtoIgCIIgCEJBIAdbQRAEQRAEoSD4/zoGlbet8DGCAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axs=plt.subplots()\n",
    "fig.set_figheight(10)\n",
    "fig.set_figwidth(10)\n",
    "\n",
    "ax=axs\n",
    "ax.imshow(bandInterp[215:390,1000:1145])#[215:390,1000:1145])\n",
    "#ax.imshow(pan[430:780,2000:2290])\n",
    "\n",
    "#ax.imshow(np.where(r<0,np.nan,r)[430:780,2000:2290])\n",
    "#ax.imshow(pan[430:780,2000:2290])\n",
    "\n",
    "#ax.imshow(np.where(r<0,np.nan,r)[:5,:5])\n",
    "#ax.imshow(np.where(r<0,np.nan,r)[:10,:10])\n",
    "#ax.imshow(pan[:10,:10])\n",
    "\n",
    "#ax.imshow(np.where(r<0,np.nan,r)[:50,:50])\n",
    "#ax.imshow(pan[:100,:100])\n",
    "\n",
    "#ax.imshow(rgb[180:300,750:900])\n",
    "#ax.imshow(cv2.resize(rgb,dsize=None,fx=2,fy=2,interpolation=cv2.INTER_CUBIC)[430:780,2000:2290])\n",
    "\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a717bee-308c-4b07-ba90-b629f9a7acc8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}