{ "cells": [ { "cell_type": "markdown", "id": "9dc175c8-f744-4655-9037-b313c486c951", "metadata": {}, "source": [ "Next, we will explore the creation of the initial conditions.\n", "\n", "First, import packages to create and visualize the model fields here:" ] }, { "cell_type": "code", "execution_count": 1, "id": "836f57c0-6983-48ce-b8a0-31c5b04463a7", "metadata": {}, "outputs": [], "source": [ "# import the modules for computation, plotting, and reading files\n", "import os\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import netCDF4 as nc4\n", "\n", "# import the necessary modules from eccoseas\n", "from eccoseas.ecco import io\n", "from eccoseas.downscale import hFac\n", "from eccoseas.downscale import horizontal" ] }, { "cell_type": "markdown", "id": "5ea43d2c-8106-4b7e-9d71-dda71ff556e4", "metadata": {}, "source": [ "## Constructing the Initial Conditions\n", "The initial conditions for this model will be generated by interpolating from a model state from the ECCO Version 5 state estimate using the **eccoseas** tools.\n", "\n", "This construction will proceed in 6 steps:\n", "1. download the pertinent ECCO fields\n", "2. read the ECCO model grid\n", "3. read in the bathymetry for the regional model as well as its grid\n", "4. prepare the ECCO fields for interpolation\n", "5. interpolate the ECCO fields onto the regional model grid and store each as a binary file\n", "6. plot the interpolated fields to ensure they look as expected\n", "7. prepare notes on the run-time options to implement this initial condition approach" ] }, { "cell_type": "markdown", "id": "7c5328af-a028-439b-a89a-4f39b72a9a65", "metadata": {}, "source": [ "### Step 1: Download the ECCO fields\n", "To begin, download the model fields generated by the ECCO Version 5 Alpha state estimate. These fields are available [HERE](https://ecco.jpl.nasa.gov/drive/files/Version5/Alpha/nctiles_monthly).\n", "\n", "In particular, download the following list of files that contain the field pertaining to starting point of the model (January 2008):\n", "\n", "| Variable | File Name |\n", "| -------- | --------- |\n", "|THETA|THETA/THETA_2008.nc|\n", "|SALT|SALT/SALT_2008.nc|\n", "|UVEL|UVELMASS/UVELMASS_2008.nc|\n", "|VVEL|VVELMASS/VVELMASS_2008.nc|\n", "|ETAN|ETAN/ETAN_2008.nc|\n", "\n", "These fields in the following directory:" ] }, { "cell_type": "code", "execution_count": 2, "id": "34d9856c-ec0b-4f6e-9f9c-c18a73cd6858", "metadata": {}, "outputs": [], "source": [ "data_folder = '../../../data/california'" ] }, { "cell_type": "markdown", "id": "d170a9e7-8862-4e25-b732-1268f2c77c5a", "metadata": {}, "source": [ "### Step 2: Read in the ECCO grid\n", "To read in the ECCO fields, we use the `io` module from the `eccoseas.ecco` package:" ] }, { "cell_type": "code", "execution_count": 3, "id": "a925b6ec-93ab-429b-a830-d6591b15a327", "metadata": {}, "outputs": [], "source": [ "ecco_XC_tiles = io.read_ecco_grid_tiles_from_nc(data_folder, var_name='XC')\n", "ecco_YC_tiles = io.read_ecco_grid_tiles_from_nc(data_folder, var_name='YC')\n", "ecco_hFacC_tiles = io.read_ecco_grid_tiles_from_nc(data_folder, var_name='hFacC')\n", "ecco_hFacW_tiles = io.read_ecco_grid_tiles_from_nc(data_folder, var_name='hFacW')\n", "ecco_hFacS_tiles = io.read_ecco_grid_tiles_from_nc(data_folder, var_name='hFacS')\n", "ecco_RF_tiles = io.read_ecco_grid_tiles_from_nc(data_folder, var_name='RF')\n", "ecco_DRF_tiles = io.read_ecco_grid_tiles_from_nc(data_folder, var_name='DRF')" ] }, { "cell_type": "markdown", "id": "7bcf96ac-d0e5-4e53-884f-16e0fec32152", "metadata": {}, "source": [ "As described [HERE](https://ecco-v4-python-tutorial.readthedocs.io/ECCO_v4_Plotting_Tiles.html), the ECCO grid has 13 tiles but only 1 or 2 may pertain to my local area. To determine which tiles correspond to the model grid region, read in my model grid next." ] }, { "cell_type": "markdown", "id": "64a135ac-a5bb-4766-83b5-60039dcc0c56", "metadata": {}, "source": [ "### Step 3: Read in the Model Grid and Generate a Mask\n", "Here, we recreate the grid used in the regional model and read in the bathymetry file (see previous notebooks for details):" ] }, { "cell_type": "code", "execution_count": 4, "id": "ed63d3c4", "metadata": {}, "outputs": [], "source": [ "# define the input directory (constructed in the previous notebook for bathymetry)\n", "# this directory should already have the bathymetry file called CA_bathymetry.bin\n", "input_dir = '../../../configurations/california/input'" ] }, { "cell_type": "code", "execution_count": 5, "id": "f48b8cc3-eb40-40c3-b61e-1359d986109d", "metadata": {}, "outputs": [], "source": [ "# define the parameters that will be used in the data file\n", "delX = 1/12\n", "delY = 1/16\n", "xgOrigin = -135\n", "ygOrigin = 29\n", "n_rows = 360\n", "n_cols = 240\n", "\n", "# recreate the grids that will be used in the model\n", "xc = np.arange(xgOrigin+delX/2, xgOrigin+n_cols*delX, delX)\n", "yc = np.arange(ygOrigin+delY/2, ygOrigin+n_rows*delY+delY/2, delY)\n", "XC, YC = np.meshgrid(xc, yc)\n", "\n", "# read in the bathymetry file\n", "bathy = np.fromfile(os.path.join(input_dir,'CA_bathymetry.bin'),'>f4').reshape(np.shape(XC))" ] }, { "cell_type": "markdown", "id": "9fd8e15a-b056-4c97-86b1-c3eb4c5e020c", "metadata": {}, "source": [ "With an eye toward the interpolation to come next, we will make a mask to determine where the interpolatation will take place. In this example, we will create this mask by recreating the `hFac` field for the model using the `hFac` module from the `eccoseas` package: " ] }, { "cell_type": "code", "execution_count": 6, "id": "a5f9cf36-029c-431c-b2f0-5fe80a139c64", "metadata": {}, "outputs": [], "source": [ "# this model will use the same vertical spacing as the ECCO Version 5 configuration\n", "delR = ecco_DRF_tiles[1]\n", "\n", "# generate the hFac grids - this may take a few minutes\n", "hFacC = hFac.create_hFacC_grid(bathy, delR)\n", "hFacS = hFac.create_hFacS_grid(bathy, delR)\n", "hFacW = hFac.create_hFacW_grid(bathy, delR)" ] }, { "cell_type": "markdown", "id": "1eb82b3d-ffa2-4312-916f-3325a0089c6b", "metadata": {}, "source": [ "The interpolation masks are generated by setting all of the non-zero `hFac` points to 1:" ] }, { "cell_type": "code", "execution_count": 7, "id": "d1dcfe0a-3641-43d7-99aa-88a48310eeda", "metadata": {}, "outputs": [], "source": [ "# generate the masks\n", "maskC = np.copy(hFacC)\n", "maskC[maskC>0] = 1\n", "\n", "maskS = np.copy(hFacS)\n", "maskS[maskS>0] = 1\n", "\n", "maskW = np.copy(hFacW)\n", "maskW[maskW>0] = 1" ] }, { "cell_type": "markdown", "id": "8601f994-42b7-4840-8da4-73f98c9269f4", "metadata": {}, "source": [ "To double check the mask was created as expected, I will plot it in comparison to the bathymetry here:" ] }, { "cell_type": "code", "execution_count": 8, "id": "3eea1cb2-e29e-49c8-befe-eba9e857244e", "metadata": {}, "outputs": [ { "data": { "image/png": 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2lu1ZTaYkqRKs9hT3rQzozSXjXsraIG2IVVDJAhpSdgjhvYV+s4aPdcqkh3vtIiIiIu4kREIWcTfjiJIzh4ODko98+oprvJcCpQTGWHRH8QkErCxrrMUpZ8b90krpyqNSCrQve0opSBQI6RSuxJOqprQpBUWlmS5qxv0UgEGeMO6nHMwrskRRG0OeKKQUzIoabSxgyFNFrQ0gEcLSy5RT2oBzq25fuZKMMsWnr84ZZq4vbVJolBRU2rI7r5mUBzyzO2UlT/iisxscG2VucEC2PWSw3NzfPD80/NCUNomELCIi4s5GJGQRbxQcSXI27KecOzPm0pVJMwFpjOs5U6ptaFdKUlWaum4TcqpKL01chl40cL/YrsQp0MY2JCdNJIUvNe5OFwzzhNVh1u5TG3YmBbVpbwy1NgjT9qjlqeKPvfcsP/6Jy1TakCWSr31onfecWeOf/PYFntksAFdyBBhkkgc3+tTGMMwUO/PanYvyCp+17Bc1H3z+GkoKUik4N+rz9jMrJGH4QTjCprrjqLbTkybghpHAEREREXcIIiGLeCPiSCYEDM6+xT78p35gqck/9BWIm8g/7eAATV+ZlMI/ZPO9tZbE97KlSlLWjsz1UoU2FotlUWp6mSKR1zOb7uHTxKlv81KTpU6x62cJgzxp9ltWmi99YJUvP3cMgP90cYunrhUkEt56so8QsKgNlbaUtXWESgiUdKXbLBHITikyTyT3jPoAbC0KKmPJlOT0oMfplR7rw4x+6vrbpGgnVqNqFnGU0U/Fo9baL3q9z+PVQLTS+PzgKP6tiogIEOLVvYcdWV2lS8KsBa0NWtumZAk0/WdpKpvvbwRH6tz3QXUCN9GYJa4UWRuDsS0xsxZq414Pk5tBbQtTkda2JcXwfFbUKCn4igdXsdaijeXJawu2FwXbi4J7xn1Oj12J89ELE3bnGt2Jxq78+ytrN625mjtx0/gjFbXhmd0pz+xOmdeGaakxxrK1KNmelDx/bcaLO3P//tw5x5taRERERETEnYPbKmsKIZ4DDgAN1NbaLxJCbAA/DtwPPAd8p7V25wbbfgPwdwEF/JC19vtu55ihlNk297eqVV27qcyq0iSJRGvb9KM501lfaswTb8lhqWtDlqlGYVPSTWjWnhmVlXF9bVJwdn3Aveu9Zurzw8/uUOt2ojFRgnE/ZWdSUlpL5pWqsP61/QU/+9iMtWFGL1OUleanHr8GwO+4b8zbTgxZvyfjQy/u8NS1OUoKvuy+MZWxbE0rKu0UvL2Fpqgtp0Ypk1I7ktohWmWhURIOyppZrdmel/QSyeosZVZoHjo1dGazBoS1rvx5g8GCiIi7Ga/H/Svi1cfhqkn80BlxN+PlKGdfY619T0e2+x7gP1hrHwH+g3++BCGEAn4A+Ebg7cAfEkK8/XYOFhQyIUApV5LM84S3PrDB6mrPlScT2awDkKaKPFco5YYHisL1cb3rgWP08oSiqDmYlJSVZraoEQIy708Gro9MG8szlw/4D5+8wgef2OSDT2yy0nf9Z2XtbC2EEBwb5VhrMRa+/KG1JbIT1DNjYdhLSZP2Mn/84pTfeGGPX7+wzThXjHLna/b8bsGVgwolBfet5RwbJM6Sw1gOCs3uXLPeTzg77lEbS21sQwZnlWFRO0+1tx1bYTXL2FmUPH15woWtOVf2Chal8YMLERFvSLym96+IiIiIV4JXUtb8NuCH/fc/DHz7Ddb5EuBpa+1nrbUl8M/9drcFR8wkZampKo3Whs++uEdR1KSpQinZfA0qW12bzvCAs6147Nkt5osKKSX9fsojZ1c5td6n1pZFUbM6zDB+WKCuDdZa8kyRp5I8lexOCyptMBb2ZiWzoubJi/vUvkft3z++ifElz7I2jTrXSxVFqalq0zwKbam0ZWta8+Q1Z8sxyhOODZzH2d5C89iVGf/3x66w1lc8uNFnURu0tTy3U3BlUnBunHNunDOvDIPUlWCVECxqw6e39rk4nbGap/Qzxfas5LNbE565MmF7WmGMSwqIiHiD4/N+/4r4/OJm/ccREXcDbnda0wK/4Btd/4G19geBU9baSwDW2ktCiJM32O4ccL7z/ALwpbdzwFCyBEPu+666U5dVZUhTyfpqny3fY6W1ZbGo6fcTv57x2wXnfMNioXn8+W2shV4vIUkkm3sLqkqT5wlf+ubj9BLJbz6zzWTmI5k8yZPe0DZNJFZYzm0MefhEn0df2EMJQS9TLPY0qZIcG+e888yAqwc1u/OaReX8P3LlGvRzJRqidnKcIgUMc8msMlzeW7AyyHhup+C5nYIvOD1ECOgnCZcmCy7su8nPlZ5id14701kLpbGcG2WkUvLM3oSeUtwz6iMQDPKEq/sLLu3M2RhlnFzNmySDgCamKt7zIu4uvOb3r4jXBjciaLHcGXE34HbJ2VdYay/6G9gvCiGeuM3tbvRn/oa/OUKI9wPvB0hXTpL52CIh2t4zawXW+hgl32N2dXPKYlH7fjJBr5c005q9Xooxlvm8ao6jVDu9WJa68T5z/mmG3/zMJlobkkQ1eZ3/zdc8wA//1ots7y/o5Qkzv79nyn0u77qesX6mmBY1x1d6TBcVWwcFnwSG4bx8X1qlLcPcZW32M2die2G3oJdItmY1O7OKe9f7jZLXzyRPbs7JE8G6J533rblpzaJ25dDjw4TzuyXnVlMWWvPM7qzZ/vz+nF4iGaSKs8M+J8c5tbFc3i04tZoDkMiQpOB+NNa71srI0iLuDrym96+I1xfLw2SRqEXcmbgtcmatvei/XhVC/BRO7r8ihDjjP3WeAa7eYNMLwL2d5/cAF29yjB8EfhBgeO4tdjzOmc0q+v2E+bxuypshisk1/js1ywWiQ+3ziJRyROgd967xDY8c40c+epEXrhw0x5rPK6QUZJmirk3Tz1Z5dasbGQXwd/79MwB883vPcGyYsJanfPjFA0fkjMEi2Jk6I1mtLVki0dYyK2pns6EkK55YLWrD1qTk9ErOQaE5Nkh4x+kBSgjuOztiVtXMKkOpLfsLzUGhyZVEG7iwW3J6JeXSxJVDDxaGsysppbas9RXnd0vO75YMM8W51QxtLZf3K4yFi/slO4uKj121rPUT7hsPmgGHVAk2RlmTL2oB4SdRQ1h65GkRdype6/tXtNI4OohELeJOxS3JmRBiCEhr7YH//vcCfxX4aeCPA9/nv/7fN9j8w8AjQogHgBeB7wb+8K2OKaVga2sGQFHUrp9LCvr9tCFW3exNN70pvDGtaExpP/KZazz2/A5ZKps+NSHcFGf4Rc3zhEEvQQjYqzVSuilQR9AcWbPWKW4/94kr5JnCGEuWSpSS1NqS+unP1Jc/K20Y5ElDIMEpZgEr/ZTL+wWPnOhjLDx5bYESgue9glb6cqeSkAjBrDKMpaSfSTanNT0/YNBLBVcnTsU7KAzhEJNC8+TVOW892cdimZWGTEku71ekSvCm1T47RcXwwJVHD6qaR8SIojLkiWyIGj48XQrXpRaVtIg7Da/H/SviaKLbFhMRcdRxO8rZKeCn/H/sBPhRa+3PCSE+DPyEEOJPAi8AfxBACHEWN3L+TdbaWgjx54Cfx42i/yNr7adudcDKN/W7/bnXrLX0ekmTADAYpHzxm0/w25/doqoWDIdZU77sfloqy5rJRDeEDgTGGLIsYX2c81e//i1kqeQ3zm/xU799hf1pyXiUcf/JMc9fmwCwKGpHDvOEfqY4mFfN+RlrqbUhUZLKRzdpY1kZSA7mFaNesmR/oYRge1qyMcz4zNU577t3xHihnMdaZam1xlhnIFtrqH0VZX+hr+uvmBSWythGAQulzBC4+cTVeXP9tPc8K7Xl45cmvO1kn+3ChcifHvbYn9U+vxNe2Jwx7CUcH2VYLBoQVjg5rXMKkaxF3AF4ze9fEUcbUU2LuBNwJBMCemfebO//4/97o1gF/zKtQ4O/YG2t1yhpIeIpTV3eZbDQCKpaSBcInmghf/P+syucW3f9W89cmbA7KSiKulHk3v2gc/V/4sKuK1emkjSRLEpNnipmi5p+ruhnSUOMhIBhnjRWF3niSqwDP9RQebuOtUHGw8dzlBBUxjItNdszTapcxmZIQwh2HcZCIt17D2HngcS5a+K+agNKOuKkOsQs2G50DW/ffsq9dyXg3SfX2FtUHB/mVNqw0k85uZIvBaYH8nY4ID4i4pUiJgREvB44in//Iu5MvNoJAUcyW1PgJinn8xqtW3d/Yyy61kgl2dycMh7nvOXBDU6s9AA4Nkh54vIBlzanAFSVQSnJYJByz/EhT53fJc8VWltOHx9ybW/B5v6CB06OKWvt183Q2il3H3t6052PaFMKqkTSzxOyRJIMUnYnJaN+ymrPeaHV2jAvNSdXe8xL7ew9OskGqZJsH8xZ7ac8dW3R+KGt9hQbA4VAsDVz5NJFOAmEdR/bXa+dpVMhRXvT3aq25IloSqGV8YpXh7S5r+3GH7/oSsdvPdnjY1d3yaSkMoZh4jzW6mFGqgRY13vmdEeX3NlOwB762UW+FhERcYcgGttGHFUcSXKWpK7BfzBIUco1/JelZjptf5nG4wwpBc9f3Gf7oODM+oDtg4Lzlw/Qnr2sr/U4mJQcHBR8ZlZxYmPArKipa8Nk4QxfJ9OST7/gjMGDqW1w/M/91yyRGGvZn1WNKjeZterW5t6CvWlJlijed/8aqRKcXcl44uqce9cyitryC590/ca1NqSJZFLUfONbj/Hk5qzpR9ue6ebmYKyLcArfS9GqZ10EJS1PQj8FzDpB8PIGZMnY5ZvQp67M+da3HOfavGC3cAkFC625PFlw/8aQkys5UggkYIUFKzwxs9epadbGBIKIiIg7E7HkGXFUcCTJWbGo2by6T5ZnSN9kn2WKU6dGTCaFI1eTEmMsx44N0Npy/tqE6bR0PmSpYzDXNmckiWwGAXb2Fw2hcr1rNDYdQrgJzbfft8Hm/oIveWCNJ644Be5gXjEvdFM+1dp6uw73i6y1pa5rSmX4zOUJiZK88+SIr7ovx2B5dndOUbrhgn4v4b4TI5QU/NwTW+Spoqg0xlpW+hm1MSTSTXtKlsuYbQmzvYHIRhmz1AavrPmoJsD4r91SqLWWTnUTgCuzBQeFxmDpJRUrWYIUgiv7C8rasDHKGGTK97fZ68mY34/AEbhI0iIiIu5khLaSiIjXA0eSnAEkaUJd1SQiaTIyT673uXp1wvp6n3vOrpAqyTvvWeFrH9hACsELBzN++hNX+ez5PcBNelaVIwhJouj3k6Y3LZRL09SlAoRkgcc+u0WSSH7hkyWjXmt+W/iA8UE/ZW2YMe6l7EwLtg8KHjwzZlrUXNqcsjMt6aWKn/z4Zb79XSd5bnfBYxcnjAYu7HzvoOCpao+3v2mdsjZU2riSqbFcq1yZM0sk60NXJp1Xmn6qGGaSRLrJze7kZ1DV5pVpSo1SCtxoAg3xDNXMLjHr3ngeuzzj3Ko75rQ0lHVFZSzzWjdEb5pIBrkiVZJFZVj1EVO2kzkgEE3sRLcUGogtzbG7JVfrS6WRzEVERBwd3ExJOzz5GRW3iFcbR3IgID/1iD39XX8blSgWswXD8aCxyNC1wRgXsVRXNePVIV/+3rPsTAoeOT3m5ChlkLaZm9pafuJDLzKZlI0CFxr+Q3i67jTgt2kE7S/cyiBlb1qiteXN51bZPFhgLezPSoqiRgi3r16eMJ2VCCFYHeUoKdiblkynJQNPzoQQfOFDx5j5WKdSO/uKWVFfV24MSPz5am1YGWRUvmx5cpyxqA3HhymXDyqKWiM9wTk5SpmWhkXVDlE0JVOuP461cN96zqwyrPZUMwG60U9IleTcsE8/VWDd+ZxYyRnmqjlec2vywwOBh1mu70Oz1oXIB4uUiIg4EBBxJ+Mo/h2NeG3xag8EHEly1jv9Zvvwn/oBDvad2WqaJc2EpRCBpAUPMts8kiRBSMHKinO+v+/cKm86PmSlp/jUi/tcujZlPq8a01rlxxnDlGdVaQaDrGne7+Wu56woNZkvjZ47NuRtpwZc2Kt4cXvKZe/H1jXDBWd0u7qSs7U9b6ZGAb7sXafZPiia0mMvUyxKZ2Bb32YweZi87KWqIWu9VKGtGzwYZIpHjud84pI7NyEEtTYoKRqSdqMfu7G2IVtvWsuRwkVEGQtv3Rg3JrUCQaoEp9d6FJVBCkHPE+K1QXodQdPGNsqdkqIxtrW4axAVs4hIziLudBzFv6URrx3eEOSsf/bN9j1//oeYzSq2rh2Q5qnPtxRkmVOR9nbnDIY5q6s9dnbmTdi5tRbjRxODGnbm7Ap/+He+iQfXBnzw+V2uHZTU2jArag68N1pRanp5QlG6XrR+nnAwLZtzSlPlbTlg0EsY9VOKUjMtap9cYMnzhDedGFHVzi7juUv7PHzPKhc2p5z0kUsbo5yNQcKTlydNz1uiZEO4AN52Zsyk0Cxqw9W9Bb1UNfYW2ljvp+ZI17ysmS5qvuzhDS7sFkgh6KcSY6Hy1yRPJEVtlo4hhVh6fjNkSnJy7I77ntNjBqkik4609r1NyKiXNIXNUS/h2DC73n4D3++Gjx4I/XMs98Q1iPFRbyhEchZxt+Eo/m2N+PzhDUHOkmMP2tPf9bebsmJduQnJ3rDHaJQ1/Up53uZonjkx4vylfbS2TCaOVIVS4GCQsrra4498xb2MMsUvPrnNzqRk4s1kq0rT76ekiWzIWQg4B2dC28sTqtow6CWNPUbdIUn3nRwxyhOeuXLQkIrTa322J4Xrc/M5nUo6QtW8VyU5udLjm998nJ947DJTPw1qrKWfJYx6Cf1U8ZYTPZ7eWjAvTWNquyg1WwcFWSp517kVrk1cAkCiBGVtG0LWTxUzP5BwI9yob6ILIdx5J1Ky2lO8+/SQlSylNpYTg5xECUa+HDzIk6bcGWYmAgHrWqK0PWpt6VMgGuKpTaviHT6HyNnuPkRyFvFGwVH8mxvxyvFqkzN561Vee0gpGYx6JGkCAkarQ6y1LKYLjLFNifDgoGQ+r5jNKj791CaLhXO5X1nJWVnJ6fUUaaqw1hGwX39ml19/bp+DecX+1G0brDEWi4rZvEJrg9YuBH2QJwxylyQw8DFPgZAlKhAOF930wrUJl/fmfM1bjzPsJSRKsHmw8ETPkqeSPJXN9oFUamO5tDvnhx99kdMrOW85PWoNY7VhUWr2587e4g++7TS91CUQaGNJE0miBG87M8ZYl+npJjZp1umnisrXFK21TcD54ebWbk/ajfrRau0Uu915zbM7c/ZLpziW2mAMTBY1k0VNUevGS63Uxnmk+eMZ/6DjkRZioYyBsjbUxlL71IMskWSJ9OfsEw5q0/TcRURERNxpuNmH4IiILo6kcpafesSe/cMfAEDXLrYozZImjLzXS3yZUVPXljSVTQO/1oaybP94p6kkyxR/9hsf5necO8aLe3P+/n96ns3dOaVXk7JMcfrYkFRJ9uclVe3imIICtjcpSL3nmTONdapOrQ1ZqnwvXKu2SSEY91NGvYRr+wtSn0wANzZpDb+sie87+50Pr9NLBL/8Gee/Nszbodr33jtiWrj3d/mg4l1nBvzKUzscG+UNKdLWNspTE+l03TGXTWS7iQTdScrujUT4UmMiBedWM4x1+Z65knzByVV3vb2R7cYwY32YoqQgT9R1fmih50x7IqaNxRia3rVw3MPXy3jylh02fIu4oxGVs4i7EYf/vsZ8z7sXb4iyZnbiYXv8O/5XhBSoRCGlRPk/8Lo2JKkiTV3v2WJRkyQSpQRZ5iOSKke6uvmcg0HGw/eu8eCJAfPKsDOr+N2PrPMfn93js5cPABrlzPW2qUahGw5SHjg1pqoN5336QJq0Kpi1TkkTog0/P4xA9IJiNu6nWGs5mFfXfZIKk5KJFJxa7XGwqJty37CXNu+r8O9zmCfNBGY3AaB7Ddx1EDctYXYJ5uHzl1Is9X8FIpwrwVtP9hmmirXc2XDsVxVvXh9jrTPvDeTrxErGME+W4qAsTgmTQnhiK5r3Hj3S3liI5CzibsNR/Nsa8fnDGyK+yVqL1hphBHVVk2YpZVGSZs6Ooq6hrjRZnlAsSpJRj7q2CKHJMtX8UgyHGbNZSV07y4Ynnt3msc9cI88T3vXwMe5fGfK+L19nUWp++flNPvTsLpt7C1YGGdZaLnsitrun+dh+wXCYNfmeRakZDVIX0m5dh3u3r6z7e9klGbX3NdublpS1oZcpvuqRdR5cG/CTj12hql3kVFm58uDmxPmtCSFYGySuvOj3NR5n9BJJrS0HhaY4pM5JIdwEp23D0dvzak+wIXS2JZFd5aqxyxCCVLZTmEoKNqc15071KY27LoNE8eT2PsM0YSVLWetlKCnYnbpEhl6qEBZmVU0vVWRKLg0PdJvRbkQUIyIiIu4ERBPbiFeC2yZnQggFfAR40Vr7LUKIHwfe4hevAbvW2vfcYLvngANAA/XtMEupJIPRgP4gZTYtqcrKZWpKia41WS8jSROKRUUxLxplzTX3m+YPeutB5r539hmSsqz5xFOb/IUXdhmPMg78AEGWOUuNMAhw4tgAgMms4q33rvH73nqcH/iPz1FUpukHE6L1IauNIU8U1ra2FLBMMoZ5wte/7RgffGaPS7szpouKX3lym/+oXAkzkRK87cUjp4acW8342MUZaSKYlgZJW/ob54qtaU2pDf1UsahC07+7KQTCJAgN9u01Xipp0vEpa5bZJYKWSOmzOwWZEoyyloi+OJmT+2umfClVG8ukrJlVLsz9wWMjytpirWZvXnmfM+hnyqtpLhaqPRHbyR2IiHhleC3vXxERERGvFC9HOfvzwKeBFQBr7XeFBUKI7wf2XmLbr7HWbt7ugYLB7P5uhTEGKSVZ7tSsJE2a5VJKRqsj9rb2WNlY8Y7/EqVaE9rQQ1WWmp5XoMIcRF0bFkXrl1aWGikFlzanDAdpQ2Dq2vDJZ7f51HPb3q4D77vm7DceOj1mf1YxWVTO7V60pUlwZcHG/6zU/ORHL2OsIzJ5pjDWIoz3I/PxTUoKXthecGnfKWwCR/gGecLe3A0x7M3dAITW1sc3WT/9eONPa2HQIJDGG1lpdEmlMdaZ/2pLIp0VRk+KJqnA9bQZFrXhvrWe3zcMU6dwVsYwyhISIdk8KOhnCm0svdQR2INF3SYg5GppUEDQ5niGn2VExCvAa3b/iogIiD1mEZ8rbqurWghxD/DNwA/dYJkAvhP4sVfzxEKDOkCap2itMcYg/LRhVVYkqXP7Xz+xxuxgRpo6o9rFomaxqD25kCSJm9qsKudHlqaSNJX0+ykPn13hXQ8e4/j6gNEwo+etMopSU2tDrZ0Sp5QjfcNBxpnjQ46t9ji1MWDYS3jyxT32Zy62KZTu3Htw76X0al77COSo7UHLvPJXVqbpL6uNRWtHZnqe2ATfs543xR3lCcfHzog2ELhb3QiMdfmbFpZonLO/aEuYSrnnbsjB/UxmlWFSaiptmxipaWG4sFdwYa/AWjgz7JEIwSBJKP31k0KwP68xxhHUWaFZ+NKtCefiy6/OqNad3M2IZkTE7eL1uH9FRHQRJzQjXi5uVzn7APAXgfENln0lcMVa+9RNtrXAL/gm2X9grf3BWx7NgjGmqbeVixKlFFrrhngkaUJZVM33o9URs5l7HpSzg4Oa9fV+M8UphOgMCQjqWvPUi3ve4LY9fK+Xcma9z+XdOQD9XkqeKh+xZNmZFAghOLXW50sfWOOFnYLnr00ovfnsotLNpKTRYQrSvzXrSnm1sawNMr70/jE///gWlTb0M0XuDWethbLSlJVufrHXhhlCCGZF65M2rzQ7U91c6JC1GRrxD/8g3DnYpZtFd63udQhEzVpLqS2JlCTSYq2g1BYhLNK4LM3dhTuHWTWntpZMSc4M+qQyQVvL5rygpxRUkCrBqOf65xLlJjVnpVPQut5xCFftjP1nEa8QH+C1vH9FRNwAsQct4uXgluRMCPEtwFVr7aNCiK++wSp/iJf+1PkV1tqLQoiTwC8KIZ6w1n7wBsd5P/B+ADk83hjPtn1PXm3yJEsI0UxzhiinNEuoK92QNnBeaHnuJi+dsuZKnMHANvzCGONKleDIyMXtWbMPK2Ayr6gqjVKSUxt9ru7MuXBtwtbBgkGesDbKKSrN204O+fRFN/2ZKImVy/mRaSIbE9mdacHPfaqglyrSRDItapRyDf61cWXDY+OclV7Che0506J2DfQdaLOsLblg81ZKF+LGSQBLNwkhGtVNIvx18SqcaQ1ga2PQVoC25I3PmyODQUUbZgn9RLFXVFy0MzKl0MY005zTqkbUsFdUDFNnsnttWqCEoNLODw7gwZNDpB8SsLH/LOJzxOtx/4qIiIh4pbillYYQ4m8AfwyogR6uZ+NfWWv/qBAiAV4EvtBae+GWBxPie4GJtfZvvdR66fGH7Ma3f18TxaR8TFBAsNeQSrYkw0KSJSRJO62pa0Nd16xvDF1/2aJmNMoIWY5JIjl3asy+Dyuva9MQKWtto8CFaCjpw7qTRPLgqTGXdmcsSk0/S9DGMC80g57ju4kUZB1vtLrjfD/qpSRK+ElPmgb6PJHeoqO1tag9Ge1nbl9fct+Y335x2tlvW8YMRC00/xvbHlsIN2V5YpxzZb+4Li5JeILWTmu2r3efS+HIm8QFqEuul+xXe4pjw4SH1gbM6lble+vxFV7YnVEYQyIEhda8aTxkdZCSKsmi0hwbORI36iXLoerdic6Iuw6fLyuN1+P+Fa00Il4KUT27O/GaJwRYa/+ytfYea+39wHcDv2St/aN+8e8BnrjZjU0IMRRCjMP3wO8FPnk7Jxb+4EslMdos/YfWtW4mON1JgpCiydTs9xP3GKQopVgsHEHo5mMGMnZla4rWLnXAGLcskLHw0LpdlqaS+bziqYt7TOc13/6+03zTu06wMcqXYppqY5mXNdaGGCKxRHSCfUWlDdNFjZKiIYbSk65A6PJUNn1oH784a3rDyso01hxdfzPnxu/eR1WbpqxrLFw7KG5qjNj1MtN+8KFNDWBp/3XIMWU5fB5gWmpSKbg0XTTbSCE4v+fUyMoYLLCWZz6SyQWnHxtljHpOTbsZB4v3tYiXg9fr/hURERHxSvBKbda/m0MlASHEWSHEv/VPTwG/JoT4OPBbwM9aa3/udnZstJvSBEfQgscZgFJOObPGoms3KGCNU9m0NsznNfO5CyTv9VO0dkMCB3vTZh9BBXPLXMmyrg1lqUlTybnjQx/lZKhrF+lkvOu+tZaicAMH//YTV7m076Y0+7lqSFRAqiQH84rpwj3Obgzoe7Pcubfi2BjnjHspeaJIpBtqyFNJ5sud2oejV9r1tFU+wkj65vkwYRkUOGtbU9lA+JSSS2qauQHJ0X5Q4HAZtCVffj3fxK89QdOerLmHm958ca9ke1ajraWXKFaylGlVs9CaShtqY9grK65MF5zfnbE7qxqT2qCUHUYcDoh4lfF5u39FRNwMcTgg4nZwJBMC0hMP2RPf8Tepa2eX0fSbGaegJUnS/vH2DeOByKV52o4vG0uaqUYBKhYlUkrGK72mZAlOaQtly+7oc1in10soS836OGdvWvqpTxe8vlhU9PvumP1cUVaGLJVUfjggTxWpkkukLfxu9lJFP0uaEmaauDJtP0vYnhSsDjKmi6ohkmujnLLSrPQdUZ1477aqoyzW+rAqdv04dyhxBrWtceW/wZBAt8x5+KayZHbbSWMIr632E951ynnFVcYQroASLqYqV5JTgx7aWB44NuTUat4ez/8TSpmxtHl3IyYERLyRcBT/7ka8MrwhEgKEECRZ4o1lQ0SSRQnXdxXsNJqJvlAyFDRmtQFVqRvylmYpdVWztzPj1JkVylLT76cUhcYYy2CQek8yNyAQEMLR96Zlx8hWNxOg/Twh8ea1VW3cvvKEjVHO73p4jXGacHlaAPDLn9nuKFsu3DtsJ4Wgtm7aM/emsmHZsJdSlJpTKxkX99y+lPdFCzgc3ZQmkrecHPCpS5PWP0y06wayFSY7Dw8JQMcLzYKSLO3HTVAun0N4rdKGvXnNxYOSjUHbh1cbi8UyqzSnBz3OjHv0MkWiBHuzmrVB2h6+M6kZJjeD91kkaBERERERdyuOJDkDSLPUhZ4bQV3WyNCcr10JE9FOIzYjyuGPuf/gKpV0XlnGYnBEKhC0/f2iUcTSVDaEKUnkdX1NDYnx6lcwZy1LzWiU8V99+Zt4z9k1Lu7M+djVPT703B6DPOHrHtng3adXOT7KubTr+q8+en7CwaJyCqB0thg9qzi5krMzdeXRWhvG/ZSFt9HoZwmVNhwfOWKWeKWr7tiCBLLVqmNQ1YZPXpw0AwKtAmmb3rqwbhhCCKpa6FvrbhdMbkMWZncfywa3tjn+pf2SVAnGuRvU2J7VDFJJriTH+hkWV97NExfjdLBwxxr3Ek/Qlm0/IiIiIiIi7nYcWXIWYI0lyZyzf7koUYni7D1rJInk/As7VEVFOkib1ADnZRZIVNu35sph3lhVuj60Xi+hqlw/mVvfDQYkifM9y7JgJusIwqCfcnZjwOWdGXOfLFBVhn/z+DV+44U9JoVuSpD9VPGJyxN+68I+1sLEr783L8mURApHVrJUYSxsTyq0tXzT24/zK8/sUtWmMbV1k5yKawcFWdLxAoPGvDWQpFb9cgMGpVffjAkN+6L52kXgP8GKIxjCNlYjnqgF41oB3iQ2HM3B+N405Sctp6V2EVO1adS5Xuqu7+Pb+yRCcP/KkBU/waqku0672yWJlJxcyXFDr2JJPYvWGhERERERdyuOJDkLzf1BMSkXpSMLvsx58cIuxhj6wz6rawOm05JyVpIPcqSUzdQm0JQ6G8UN1ZC2yaREKUGSKBdTVJumPy1J3FQm0ChrZVkvmcKeWOuRKedPVgYypQTDXsrpccoD6z0u7BfsLTRPXXbeZ/uzimMrOefWB8wr3W6vDYkU/PLTu1TakCWS9UGKsZbtScWsqBn30k5+plOygiVGV8VqrqMnamFiE0D5oQDZyc48PIkZjGdr7fYfskaNbZeDI2u1tq5Xrr3cDTEL5rvGWvYWuskE3ZpWjdo3zCWPb+2jpCBXkgdWRgCs9BOyBK7sLVgdpIz7SUPIIjGLiIi4kxENaSNuhSNJzhC4uCbf6K68d5kQoilVAhTzwpE4KcgHOdZYiqJod9N0kjtSIaWkXJRNPud0UpBmCYOBQCnVBJ+DM6oNytlwkJEowfbugvm8Ik0V42HG1n5BmkjWhhlSCtcjZiWLUvPh5xb82lOmcfN/271rAHz/t97Pxd0Fn92fMCk0hTZsTRXT0nBilPDMtTmr/dSRIj+NuQ08fKLPM9dcYkH3V/pGU5fGyWlNSTJMWwZCFNaRnT0dLh0GLzOg0+y/vE5VG0ptSBN5w5QBZ1Ar2J7VvP10n/O7JV98bsylScEoVwwTxaTSHO9nJEJyatgjTdzGqZLMS82p1R7DrI3DihXOiIiIiIi7HUeSnAVCkeYpxbwlW9ZadEc5MtpQLFyU0vqxEYNByqWLe2Tejb4sXOxTKHV2g9NNbVhbH/CuR47z7KV9dnbmDAYpaaqYTp0pbeFLkUKU9Ly5bCAoU6+qKSlYlG69YC8hO8pSopx69OwVp5z97V9/jm9763EeXh2x0JrHtw64tFdQVJrtqeTtp4dkifA9YIJL+yVCwIt7JRZYlLpx0Q8Tl9a6yc+i1kvqWShF1m1u09J7WCJ2tj3vzqp+/fb6u9f9lKeSZOF1wnsWS4pcSEN4ZrPg2DDhic0Zg9QZ7cpUsJqnSAQWS5oIBt5mREq/L2BrUrIxykBYjBWeVMahgIiIiDsXN5qij2paRMAr9Tn7vEApyT33rgOdScwAcejhsbM1cV5eUvLed57ive88RZqlrv+s09QulWz2uXXtgA8/dpmVUcZiUTdmtKHnLEkkSSIpCrcsTWUzzWmtW56l0hnIelPYQNCyxKlw/SzhzMaAQZ4wyB0x3C0qRrkjIVvTmtq40uC4n3Js6JzxK2O5Oqk4WNQuBsobzSZK+FSB5enM0pvRhoZ+8GTWN/F30TWN7ZrHht2F7boGtOHRRenjrLokz+JSDUKPW3iU2rA1rZt9bPQzxmnKSpaQSsnxfo5AMC1qpkXN7rRCSpdDemyUeTsN0TmOve58IiIiIu4kdMlYJGYRXRxJcmYtPP/sZqOadT9ZHCZrXduM889vI6UrKy5K7X3Ols1rG7ImBWmeUlWazzy9Ta+XkGWqIWchX1II52dW15qy1I6QZQn9XoLWlsmsoqg1e7OSd96zwiBPUL4cGRr6p4uKWjs3/yu7c57amjHqJzy3P2NRW1b7Ke+7d8xXP7AKtA77J4ZJ0+81L9us0S6hCten+/gj7zvrm+uXr5X2CtfhR/caB+LXbGOuJ3KBqAVfNqBJLVD+K7hs0V6qWBukDDPFiVFCP5Xcu9ojl44AF7XrD6z9BGniEwPObfQ5Mc47/ylaE1p76HlERETEnYg4iR5xMxxJcqa1XjKfXbLL8OiStKWeKq355ONX+OTjV8h7iQtQt04xU4lcInNYF+nU66kmezMMAax4o1qlJFnWRkAlnpCUlaau3XCAa5wXvLi74MQ4I/eZmr1MkXuj2Tx131sLu3PNxy/uspqnvP1kn/VBwlrPKUgn+jkPb/QZZoqnrs2ZFTXzsmbYS6/Lw3TvneYcAqn6Zx+92JQ3w4Rlc22NbRz+O5cBiyvLhte76lkgbKVuPefavjKn1AVyZmybTCAEZIlTFld6qrHTqLTh6rygNhZDm0pQ1YZepuhlirkvFYvmHxpCFlxTIjeLiIi4kxHVsoib4Uj2nGFpJi6lko01BrhJTq11Y7EBrXrmcixbNWcxr5plyZKdBE0ep8vNFOS5oqp0Q8SkFNx/ZgWAyzsz0tQRi9ms8nYc0hG7TFFUzpdMCsHevPaKFRSVQQqW0gGUElw7KPj3z+yghEBby3o/4dq0oraWrWmNFPD05gJrYdxLuX8j51OXpp1pydav7PAvd+gzg9b/zL3uCKRuyFfbDxYa94M1R5e4CdqeskTK1lLDttFQwpMyaHvOlBT0EhcZJcFfB8uito3FxhWx4EQvp9CaU2mPi5N5c9xj47zxXpPNlCYdH4+IiIiIiIi7E0eTnNEGmZeLEnFIMpJS0l/pU1d1Y7kRSEqSJq3PmQ8sBzAL00x9AqSZ8uobHD8+YHNzhrWwWNQoJdjfN3xqsgnA13/JvexMK0ptKCrNxc0pw35CrS3zQvPwmRUOFhWVNlTasKg03/auk/z8E1u8aaOP7vSH7S9qpoua/ZlT6IJZ66K2LGrDlYOaUSadKSuwOyv5uFfzIPR9Xd/0Hy6RNs6nDNw05lJgfMcLrSunB6IWYpwCkeseKax9WL07/DyUgoUnY5W2aCWa58bCJy7POLuSMik0uazoJ4oLBzN6SjWEcbKoSZVACIkKwwGhl47ocxYREXHnIw4BRNwMR5KcCSmoiqrpDetCSqeMTfenzmZDKVSimv/kdVWTpP5tWVciDRYcIUXAqXHO5R9oiJkQTtmylsb3DODf/NpzTU+aOwfBwdT6AQTB05f2ObHWY1HphtT8zCevsTLIKLXl8t6CPHHb9jPFXAoyJVn4jM4sVZwaJWzPtVPnvOIWEgLCJTC2jU2ClmyFdIDDRMn4kieebBlPtYxZltODJ1lX/Qpmst2WCAVLxM8YkEoskb1wLtp5dfj9Qqkt88o0pddJYUgknD7eY1EbSmOojGnYYD9TWJzqWNbueZjQbE4p8rOIiIg7GJGYRdwMt91zJoRQQojfFkL8jH/+vUKIF4UQH/OPb7rJdt8ghHhSCPG0EOJ7budYIZ7psEdXtwdNKYVSTgnTtcYY01hmVGVFVVZorVGJarzRjDZIJUlT10dmjHPWv/eeVTY2+mSZIs9dasBiUTcKUMjBnM0qkkRyfH1AWWrq2lBVmuOrPaaLmt1JicAnDRjL3qzkha0ZVW2Yl6537Nr+gkdODvj6t2ws/RD2FpqDwhm1zivN5sQZ77o0AUGqZKNsHR4ICK91vzeHJjEFyyHm4WsgZm4793rIBw2vNWTQWmpjfG9au642tlENrX//Lg3AfT+vtFMMS02pDZWxJBJWeop5ramMIRGCcZbSzxT9TC1NmUohKGvTDgDcYHI0IuKl8FrevyIiIiJeKV6OcvbngU8DK53X/o619m/dbAMhhAJ+APg64ALwYSHET1trH7/VwXSlUakizVw0k+k0o0spXfi5tkvEy2jDqbNrTQbm7vaMuqpRSpGkilS6hvyqMkuWGE8/s9WQP6UEvZ5isdB82bvPAnBxZ8Znn9tBKcFiUbPNHKUkVaXJ84Qr2zOEEKyNXFak9MQEvP2FbHu/epniyctTnrk2Y3WYoYQgTwTzyrDRT5iWLjVgZmsMrkdMG+vIiW2VMn99l74G1epws3/oJQOfiylAd1SqxJcdrYV5ocl8vmho/Hek1za9ZIE0Nf1sui2JBsUseL9J4YLRhZ/ktNYFqK8PEsraMqs1mZRoaxlmqtmPkk5xE7hUA6eiWTIV/c0iPie8pveviIiIiFeC21LOhBD3AN8M/NDL3P+XAE9baz9rrS2Bfw58220cj6yXufJYrV3zfucvclDJRLCKEN6/TAquXtpj6+oBW1cPGsXNWovWLkPTGEueK7KsfethKlP6/S0Wrrz4qx+5wK9+5AJPPbPtczcti0XN3t6CsnQeX2UgIdIRKddA7xSprg9ZIH+pL69q4yY+AfqppJ9KDgrNpNDMS81bTw+dJYcQDUmCtlTZZl4uK2T2EDFrrllnElMIGu80a536FTaTnZ6xcD3C+TfH6OyvVTZDydW9t9o/ilpTaxfmXmqnIBaV5v6VIev9pNnfsV7OIEtIlCRREilpDH2dj9zyG4oELeJ28VrfvyIiIiJeKW63rPkB4C8C5tDrf04I8QkhxD8SQqzfYLtzwPnO8wv+tZdGx0RVSgmCpjzpLDFUo6SFgYCm7On71EKvmjWWEydHZJkzgE1T2fiYHUYIEFdKoJRcej2oRyEo3VpLVbVB5+ByJkNZL7xWVrrpnaq8Ueyp1Z6z35BOVdqdu94zKcJ7Fjxzbe4IXCdj9Lrz7XztPqAlT4J2KjO8HhD82Gpj3HlaZ4YbbCyWfiSerB2e5AxqWrN/44hwIG2tGa17b8Gw91ObB2RKIYBcSRZaY7HNcINAMOo5pTP8f5BH0vgl4g7AB3gt718RERERrxC3/HMnhPgW4Kq19tFDi/5/wEPAe4BLwPffaPMbvHbDbiEhxPuFEB8RQnxEz/YaQrRxYuyC0H0ZLoSid5v7mx2bNn8zPIQUXL1ywGJe+uzNmoODgsmk9DYadolMAY3C1u3JCqQJnNo0nVZNz1lR1BRFzaKo2ZkUzVBBrQ39PMFYSy9VTcTSxZ25N3CFUa7YGLhhgXllmJeastZLoeb++pClilEvIVGCRLVmr40ihrPeOLfeb3zHtG1NY41pXfWFgJVBysog5eRqn8RfR+3f92RRLyt2nesUfNK0J2DaOI+y0H9mLF4taxU0Z8LrXltUmov7JZcmC+4dDRilCat5St/7w4EjaGVtEMJdx6akKtwbdV+ifBbx0ng97l+v4HQjIiIigNtTzr4C+FYhxHM4Wf9rhRA/Yq29Yq3V1loD/ENcCeAwLgD3dp7fA1y80UGstT9orf0ia+0Xqf4qSZqglGL72kEbdi5aFSuoZF3neiHFUjyTEKIxs5VKNkMGh5cFS42bKVRC0ExuDodpQ1jm87rZJgwIzOYVVW1c71qqlpQmcISjNpZ+phACTgxTtIGtWcW8dISoqExLgrwSpaSg1i5IPRC9ruVFgLP08L1g1pInqjMAEEq8br8H84qDecX+rGxKmEEFC1YeZdUOBxw2A/b8+IaqXW0MtTENkQvLtCdq57fm3L8y4OJ0zrP7UzbnBdraxoQ2SySCNmkhTyTK/5xkUEgjN4u4NV7z+9ere/oRdyvipGbES+GW5Mxa+5ettfdYa+8Hvhv4JWvtHxVCnOms9vuBT95g8w8DjwghHhBCZH77n77lWXnS1ZQogxomXUlTJQohRRNqHuw1uuThMGGDZWLWTih23e7bx9JFkqIxoZ3P6yXbjdDLVlW6GUQ4mFdIIbi2v3Dbe2sJbSyLUrMxyjHGcmYl46DQbE6dj9lkUdPPXPyTNpZjo5wsafM8gzK1P6/Y995ngfwFJctYy+W9eROIHuw6uu9l4HM9g6K2fM1cD1oYamjUqvb/Q6PCheOGPNHQa6bNshqptW0Im/vqvn9hf87ZUZ8HV0acGvZIZNsH5wYrnPFtIlvyHMxyIyJuB6/L/SsiIiLiFeKV+Jz9r0KI9+D+jj4H/GkAIcRZ4Iestd9kra2FEH8O+HmcTdY/stZ+6nZ23lVowgBAgNbLPVFGO4PZ3iBnPl00Pmdh+yxLXEN/pTG2bTsRMhA7rutBkzcgJWGd0GdW16bJ2wSYzSoGgxSlDFd352Spoig1gzyh8M3/vcypXuNc0ksk5/dKjLXsTUsGecLZtZzntubsTkvSxBETa930oxCC9VFG4puvVnuKy/sFhbfqCKTRWpdRuTrM2J6EfFKar71UeQ81f/28uuVKm9cHirf7vd6+4/C6rolfLK0TzskYi8Y21+/KpGJ3UXHPWp/Jwg0KZImf1hRuKCDsqptgENlZxKuAz+v9KyIiIuKVQBxFaTU78bA98Qf+ZvO86SuzLEc52db8NKhnUslmWCAobt31hBA8+NAx9vYWbG/PmtfC10C0usTMxTWJxoID2v4tpUQzRCCEIMsU43HuJkA9QcoTSeb7qarasDHKOTVO+I2nt5ktah44NWZ9mNFLBIvasjerWFQabSwrg5Si0hhLQ/BWBxkAG8OUZ69Nm/M01jLqpUwWTlXrZ0kTmB4a8t21WmY3VW2WmvoBtg8KVodZ48x/+L9J17C2e73ChKoUoukVC6XIhqT5bX/Hg+v8jnPrKCE4Mc7ppdKbzUKqJKlqfy7XJxFES427Cf1UPHq3lASFEEfvphpx5HAU//ZGfO4Q4tW9hx3JhACgKWMGOw0hl53ol9b1SlKY0BRymbAp1TaaI+DZZ7evK4c2HmLaXDfNGUpty8cUS98HdcmZ1wqGw8y53teGLJVsjHK3L1xf2GRR8cUPrLM711zZW/DbT77IEx/8EOsPv5U/9C3voF+7vqtrBwV54uwlMiUpat2GmgPvvmfMJy4cuOdCMFlUDWEqDpU0g0LYHQoIr3e/umGBjL1p6QhaSAWQgtJPqIZ1DctJArVuZ0iNtaR+OKLN9GxP6IXdggfW5zy0NnaB5riePIBBJ14rXDf/44vKWURERETEXY2jSc6acptpnjc9aKFX7JAR643+YDfu+PL6/LJlNS2UUcNxLf1+yryTaRlgjLPj0LpVoVo3faegzecVvV7S+KvZjj3FwbxyHmja8syl/YYY3ntmzHf85e9kra8YpIrndwo++OlrTCYFxzYGrA0zHjoxpNDtFOeiNixqQyIFpTbNhOYwTxqSY6xu4pi679ta2xApIa4vR7qJUEd666BEGtEQs9YQtw1ChzZr02V+iiWvt+ba+2zMi9szXjze40S/R6oEJ1fyJuaq/Tm13wvRmupG1SwiIiIi4m7F0SRn0NhlKKWWyVWj7ojrcjcDGiXNk5DghaYSiT7kG3ZYARMCkkReR8xCDmcoX4bKRZf0hX1lmeLgoGA0yqhrg04tm7tzv70kzxT9foI2hlRJdiclu5OSX/j4ZQB6eYI2luOrPd5xnyv7JRJ2FzWnx1lDTA4KZ/D6yKkh09INC+zMKlb6KYVv6t/aX2CBPFFM6gqss9DYn5VLStlyn5j7OsgTKm0aywrVudzGLgekB2VMIBryZWn9zbo2JG5Fy5c/tMHJYUapjR9muP5nabvOBfb68mZERETEnYZY0oy4FY4sOQswxqCkagjXjZzwoZ3EPIzu6643TF5X1rtxqfRQX1Zlmte7VhLdpvruEEGSuJKsMYbFomqOUdfO7DVR7dTk2WMDru271AFjLHPfM3Zt1zBdVOSpotKGL394g72F5unLEwC+8P5Vxrlib6E5PU6ZVYaDRU3lz6X2WZdSHPJFM9c38nd7yIa9hOmi9vmYgjxTTYpAVyFzipxPLfAELpApu1TuFM50V7SEWQjBpDTMa00vUZSVoawNQ99zZqzf11I9s1XOIiIiIiIi7lYcSXJmrQszD+kAutZLdhqB9EDbVxa2a1IFPMJAQIDuJArAcmN5WC00/idJq/aMRhnzecXKSs7e3sJv224T+tRCsoC1rv9MSoHWrV1HyOTc3TeoNYkUcGV7hta2GTzo7mc6r5nMHFn7+Y9fQQi45/gQgI+d32dW1GyMclYGGe841ef8jmCtp7h6UHIwr0iVpJcqru0vSBPJiZWe70WzDTlc+EGDNHHl2v1ZRaIcoSpqp2opIZZ6zaBDoDrXrpcqVocZO5Oi6XlzJc72ZwuOIK72FCcHOYtas5InzfEgZGu6ddUhVS+WNCMiIiIi7mYcSXIGLq7pMFwckI8GCiHfxpAkiZNTDEvErI39aVW3JFE3lZRbtcwtr+u2J2sycWXA/f0CrV3fWSAKD923zn0nRnzo8csUhbOoCCpaSAvoKmxhnzOfLNC1m3BWFr5U6Eu7aaqaxAJr4bIvka6PcgZ5wub+gs39BZ98bpv9/YIzp0bcc2zIotKUnqClieTUWh8lBJd2Zs7dv7muND5qplHdLDsHBWujbKkkGUqUiZIUlVl6HRzRm+/M2h+BEEiuL1mO+ynHBq58m6aCsjZc3VtgcYMTife3yxOJUG05U4iYDBARERERcXfjSJIzgXDkS7aGsSGuqdvkH0hXIGw3InSL2YLeoOenM0VTZgtDAIHwNPvtLD+MJBFLyk9w1X/2/C4vXNwHaJSvtvGe5nWgyeWsa8v29gylZDMgUBQ1o1FGlkFdt8cNal84z2Dztrm3QAhH0lxslGQwSKlqwzOX99Hacmq9T6okV/fmbh2vfmWpZG3oLDmmqmbYS9ibliwqP0CAZWWYNcd9x7kVnrk2ZbqofeyV6Khm15eY24GBGxPhUS+hMu1QhraWUZYwK7wfXKrI0xuTsKicRURE3KmI/WYRt4MjSc58cCLW2IYANEHmvnQphGgyN5VSaK1by4yOYtYb9BiNMt7+0DE++qkrCCGofZk0Tdsm/3e8+QTzQvPc+d2GeAUoXxoNQd6tF9qNetzCsZeXhelOF56uSVNF5u0i3OCDJM8VIWC9LNuBBKXcIEMTseQ784tCo5SgLF2+53CYkXrj22Dce3Fzyom1Pm+/Z41SO3WqrDTaWi5sOY+0svLO/b6vbGWYsT7KeP7KhI0Vp2R96kVHPgO56/aZCdHecKxv7JeCRi07fD0Bdqcl+wvNyYHrXXMxU4I8ddc2TIA6Er38XyMiIiIiIuJuxtEkZ5aleGGpZKOOBQRFLahlSZo0hCSQhrpyJcODA8tv/vZFhBRN/1qSKurarV+Wmo8+dqUhEIcHBcrS9U7VlWYwTJt1ulYcQd1ygwDtuXfLkdD6qHX3v3xM97WuDXmeNCpckkiUkkvN/Fmmmn1JmTb7d2qcbJ5f2pxyZXt2XW/dg2dXAHjvvWMu7Vdc3JmzPSmaxII8U21PnWptMYQQCNsSMYDM/xxWhxnX9uZLBG1ZSXRfe6lifeD++9XGkiWS2hiUcPtRUqCkM6MNgwxSOiIX+84iIiLuRBz21YyIuBmOJDlzk35tc7/Rhja7B9I8xRiD0QYpZUPe4PrUgAahIT9xhCZkP4Ym/C5xME25rUNGBOS9pO3PqgxSGtJUkqYKKR2h0to0PWKpV4GqyjS5mwBlaRgOU0A2ZdBQdg19cb0ezfuxFsajjINJ2Vh5BDiyZv05Kwb91Kl7SrA6yChrw6LS9DPlPdYEJ1d7jPspO5MSgEef36c2lumiDXJfGWQcW5Gs9lNe2JySKok2mjxVTVIBQJZIn6np3t/WwYJUSarO+w3XsKuu7UxLXtwryaXk7LBPpQ3DPGmUM2NpwuGhnQ51+7rt/0oRERERRwI3cxqIiLgRjiQ5CwheZlJJ6tITBz+92Q03ryu/TLbbAUtKWtcTrWsg25Imex2BaEuUzRk1Df1p6hQyl7Gpmc1qhsO0mbJUysU9BeIU9pvnCUmiGI1ydnfn3qwWnyMpMMapXUWhfdnTnctkWjaGt4fJSRhAMMZwMCno91MWpWFRzullikWpOf/iHnu7c0bjHtc2pySJ5NmnrjTX689813v51cevIqVgfZRzdW+OEILH9xZ84jef5NjZkxw/OWY+r3nv209S1gZtnEHt4bayyr92s0SHcH0ffW6XB9ZP8+JkzrlRn7I2TW5od7NgwREREREREfFGwJElZ42KpU0zmRnQzdc0prNcLw8KLMnHHfNaaDMxW5XNPf99X/UAP/Mfnz10LrC6mrO7u3CZmV5tyzJF5e0iej3lG+VbIib9uTjiFcqMlvm8Ik0lKys502nVKGx14yVmGxLYPUfTsCB73fmFr0K4AHZjLHmeMJlV1LXh3nOrvPWhYyRSsjHOee7qAZPJOgBraz1+85ltPyig0MayPsox1nJ8nPPmN30pB/OKeekVuEXFotScXO1T1pqNUc7O1Klwi1I7Mmss5lCH2GE5f1bUXNgrODbUnB723ESm3yRLZLO182q77r9IRERERETEXYnbJmdCCAV8BHjRWvstQoi/Cfw+oASeAf4La+3uDbZ7DjgANFDfTjBoY2hqu0RHLnmTJWlCVboyXZIn1FXt1jn0Vzx4pa2t9QHY21t4RW3Z1NYYR9h+9teeu8F7d1YaYbIylESDihVImOthoylTdvff3ddgkFKWmtmsIs+dcmaMbRr8pRTkuWpKmkEBdO/nesLTere1x5BSsPBmtnmekCrJrKhJleT8tYp5oXngvrVmP7W2jIcp/SxBScHV3TnHV3uU2nBi6GqsG6OcPFVc2Z1z6cqEPFWsDzOK2nDPxgBwNh/atga0u5NyqT/vMJ68OuPb3n6i6TtLOrYdQjqPs6iaRbxSvJb3r4iIw4ilzIiXC3nrVRr8eeDTnee/CLzTWvtu4DPAX36Jbb/GWvue272xSdUSG6VUS7o6RqaBmAUC1xv03DrWh6arlnxZYxmPc86cGpGmYUKyq0S1alUgRIBXyZYv0WFrjPBa6FXr7i/g8D7CNmmqOsd1pdLQ+A9tr5tScil9oLuPbq5nt1zbHWrQ2vAFb1rlzNrAlWGNJU8l417KuJdSa9ejlvqBg0WpGfQS9mcVVW38ckmeKqQU7E5L3v3Icd79pjXWRvmSqtXLFJlyQe+JdN5qzc/hBjeo1X7KtXnBpKxBOJJYa9sY0HJoWjMi4nPEa3b/iojoIhKziM8Ft0XOhBD3AN8M/FB4zVr7C9ba4Mb1IeCeV+ukXHnQLJnHuoZ52VT0lFLNwICuNYvpohkc6CYAJKmb/jv/wi6ffuIapTd9DXmbvZ6biNzY6DfH9u+5sXHoTnF2cyJDM3/YLkxOtmXGbrP+cqKAew+iUePC/roN/s6E1hGwwSBtyGhQ7QJST5rCudS16SyTJInig5++xubBgnE/RRuLNpb9ecW+N6nNE0WaOLPaeVnTzxLyRPqSZUGWSFb7CbuTgvtOjji5krM9rShKzbFRTqoEqRKcGOfcf3zAaj9hbZhxMK+4/+SYlUFGL73eh+7TL+5xab9inCVM5jXzSjOvNHvzCmPwj3hzi/jc8VrfvyIiuojKf8TngttVzj4A/EXA3GT5fwn8u5sss8AvCCEeFUK8/3YOJhCkWYpUEpUoVKKQSjbWGUqpptcslPykkqRZ6pZpN8mZ+KnJvJfSH6QsNTEJVy6czyu0NmxtztCe1Mync7Q2aO3UqKBsOcLUkqMu8XLlSdsQOMB7kskm2qlNDZBLhK/bU3a4bBn2VZa62WeXfFrvT9YlMCFmyR3XxUVVleZgXnFpx6ULfMf7TlPVxqUCWOtyOC1MFhUnVnrU2tDPE6ZFTZ44Nez81oznLh/w8Ik+BwtNWWsXrj4pOL814/zWDG0s88qQKZftee6YU+vCpOhh9FLF6bG3ATGWvVnFno+ranM62+zPiIjPAR/gNbx/RUQcRiRoES8Xt+w5E0J8C3DVWvuoEOKrb7D8fwRq4J/dZBdfYa29KIQ4CfyiEOIJa+0Hb7Cf9wPvB1Cj41hj0VrTG7h+p0C4QskyzVIWswWj8ZCNjT5XLh84DzPpzGkD1tb7VJXr73IkTjAYpDz4pjWubM24cmXi0wVanjoY9Ru7DQg9ZqYhVyF7sy1/hp40l6O53HPmlCyl2uddNS7gRpONwfx2eap0OQKqm3LQ3X/YXkr3fpWPXDqYllSV5kf/04ucOeb6xL7ovlV+/eltrLX0MxepJIVg3EsptaGXKnamJY89tcnXf8m9PLe1YFbUPkOzZF7WJL4Uu+0HA7JEefXNRUFZa5mX9dI5WgvzsuapzQWDVDFKE956wnmvrQ8yP0jhr1e8uUV8Dng97l8RERERrxTiVvVwIcTfAP4Y7gbWA1aAf2Wt/aNCiD8O/Bngd1trZy+xm7Cv7wUm1tq/9VLrpScesse+/X9p1LEQeK61bif+OqVDqSRKKfJ+Tl3VJKnjnGF9KSWjccbBftH0pR07PmBra9YQvtXVHlIKRqOcg4OC+bxi6OON9vYW1JXma7/sPn77yWvUtWaxCErWMtHq+pCFkmUoV/pr0DzvliLTVDblyDxPfOYmjaltmNrscpTDP7pAeIKNR5a5FAJrXdk1mMomSjAvXF8ZOKPX0+t9tg4K+plyRE5K8kwxK2o+c36Xh86tsjHMMBZ2pgXzUjPIk8b0tss1A5GyuIzMWVEzWdTUxil1h8/7+EqPL7hnzFfcs8FK353TuJcy7rvSqhQCdYOeu4i7B/1UPPr56Ol6Pe5fQogo80Zch9h7dndDiFf3HnbLsqa19i9ba++x1t4PfDfwS/7G9g3AXwK+9WY3NiHEUAgxDt8Dvxf45K2OKYTgnvuOYY1lZWOFs/ceQyrJO7/gXtaOrdAf9vmj3/5u3vrOc4zXx6xujBmuDNBagzeLzXuJi3WqNXVds7+3aIYD6qrm8sU96qom76WMx3lTxhwPU86cGlFVhsmkZDIpCYkCv/ybLzCZlMzn9XX5meH3rixNU2asOmatYZ3QhxbsM6R0qQJaW6+U0VhyAPQ8geo2+Yd9BVXJ/5yWSE+aSk+a2pKptZCniixx5d6i0hS+3Hlha8ogT1wZ2PewGeOSAk5tDNgYZlTGUvnyp5IujHzYc6pcP0voZ0njU1Z5xS14no16NxZp3/WmNd5775iHjw0Y5W77REqUFCxKTVF7r7h4Y4v4HPB63L8iIiIiXileic/Z3wNynNQP8CFr7Z8RQpwFfsha+03AKeCn/PIE+FFr7c/dasfWWj775CVUotjb2mN/2xmsfvJj59Fak2Yp/+ynH2unOdWyr9l0sgAg72XUdWtIa01rXHvy9Crf+mVvwlp47MIen3j8KlVRsb01afYZyFX4xOOc+5W3zdBY2xI0aAcEpBTNxKUjW90pzvZrIFZt/1o7JCBlWzrtKm9djhJKqNCqdIGEhVJo13dNCCgqTZZK0rQt285mFeujEbuTgjSRDPKEYZ7w6NOb1LVhfbXHp1/co58p5qWm1sZleQ4yUiVZHaTNOQlgXmrSRDJZVCgpMNYyLzUr/awhg+AUvEQJ7l3r0VOSRaVJEz/UYAxK+sgorwgaa2N5M+LVwuft/hURcSPE2KaIl4NbljVfD2QnHrbHv+N/bcPPrev5SpIEBGR5xnCUNU36aSrZunqA8L1eoiEsyltJaBcD5YcHAlEbrfRJU0lZGhbzsjnGm998nDyRfPqpLQCOHetz+dIBypOzcNzG7cGXLoM1xnCYNQ38YXlYV2vTBJSvDFKu7cwbUqW1ZTTKkFJwcFCQ+7JhUNy6UU/Q+q11hwra0qZs1L1A8pRyfWe1No1HGcALVyeAGzro9RKEEGSpZNxPubQ5JU0V954Ycd+xPh95dodrm1PfS6cZjXIGA+ePBs5YNlGClUFGrQ37s4r1UUZRGbJEUtSasmr75977wDpf+aY1zo77ZIls4puwkChJL5WM/UStoO2xi7i78Pkqa74eiGXNiJfCUfybG/HK8WqXNY9mQoAAlSo3jWndH/IkTZBSMhj1EEIwm1ZUZdVskuYp45Uea2s9Kv/HX2vDYlEzn9dUZcWJk2P6/YSy1OzvFxhjGY1yer2ELFWcv7DH/u6Mxz91GSFF07t29erUnZaA2bQiyxOGw5SicA3udd1aX0gpmPvJxNagVjTqWZ4nTdlzu9YI4awwugjqUF0br4wtDwu0RMwulTXDFGdR1IxGYZ/CZ4hKHxruz9XYxtX/5HqfyaLmix85zj1rGbmS/PynrnF1Z05dG77wEWcSe21ScWa9z7mNAbvTkhcu7TOZFBxb6zPz10JJQVkZru3OGQ1STq72yFKFtRWLSlPVywNzj72wy5fdu+onRi1KepXSK25lbZgUNaNeWzKNiIiIiIi4m3E0yRlOMTN+QvH+h05w/vltRzwWVeNvJv004+ragOPHhxRFzWxWNaW+a1cnS9YT21uutcQY56MWvNKGvZRPPXHVTXsKwYlTYw4Oyob4nDw5ZHd3gZSCujZUlWE6deeR54okgeEwY3+/cH1duQKsLzV6v7WkzYxsiZskfMg2xvrm/5aEObKnlmwzbjaSnSSOjIUetsZOw1taCOHtKHyZ1ShnPAtuIGDcT5lXhq1pzcYgIc8UV69OGY8zDhYV7zgz4tq0wtqEiztzau2uw9kzK/RzRVk7pbCfJZBDWevG16yoNNpYEimoDp23NpaDsmJSpqz1XFA7gAiecVK47E5f1lQxxykiIuIORVTNIm4XR5acCSnI0gxrLRdf3CPNUuo6WDE4mw1wBGd3e8ru9pTRSp/pwYLeIAcgzVxZEAsqcUqcSiTU7bJr12ZcuzZjNMqYz2uSRLK21mdnZ95MhF65Mm0Up+PHB0wmpS+nKqrKsLKSk2WKfj9lPq+aqcu3P3SMJ57dJs+ThjCGPM6Q0WlMOyjghgKgqt2BQ5m0a5dRVfqmEU69XoIUgqpySp0QoP3+A6kJx6q1IfMlxEHuIps2BglXD0o+ffGAi9cmjMcZj7xpnfuP9UmVYPOgZNRLGfVTpBS865HjFLVmXuiGNM7L2veZQVUb5qUjZnlyc9Xr2rTi/hU3kdkLOaPGoq0FbUiVaNJEw2BA7D2LiIi403CzWL+IiMM4suQs+JoF1SuoWuWibExnjTEYYZr8zIO9GWmWNo3uutaOlIU/6H4aMvSkSSkbb7LZzCUHlKXmued2lrLFQ7lSSsH29rzp+wplx9msapQ1cL1dWZbw+DNbJIlc8jmrqjbqyRnamqbkKYSlqgxl6QjYQ+dW+ezFPZJEoZRgsahJEsHq2JHP3f1iqdm/LHWTFuCGJaQPWVdNOdEYSy9PqLVh1HON/GkiWR+kPHN1ytPnd6kqw7vffJwzaz22JxW/9dkdpBDkqWRzf7E0oCClYNxPr7vZZKmz5Li2t6C2hkWlb6j6WQufuTbnwfUBq/2UuR/CkB1CqqRoI9S9gXB3oCIiIiLiTkIcDoi4FY4kObPWomvdlB4H4wF1VTOfzhmM3PfGOEXMWovBoJK2+b8hY1JSlRVKqWa4APDpAK5pPviNuT/0olGWVKoY+ClENzTgSENQrkJSwOGIp/E4Z29v0ShXwWes630WVDJrtU8hMAwGGb/r7Sf5+Y++yDsePMa4l/LoU9fI84SHz6zwqee2G0+xa748G/bdRXc4QGun7oXJ0dBsr6SLaQph5VLAtHC+ZSsrPU6s9njk5JA3rWU8ZkDKIRe3ZxSVYX/qyr1DHwM1zBPKWrdWIrVBm7avrJvbWWlDbdtQ9KB+PXvlgCvnhpzs56wN3JBCbQx17aYzd6YVo7zzX9UTtIiIiIiIiLsRR5KcBaVMKmc8O92fIqVLBZhP502EUyhtAoxXepSlYXowQ6SBnGjqqsYa65IDfIkwqGmuUb79Kx+ImlJO7drfLwDXL9YtL1aVafq6HAlzfV5FoZnPK37n+87x3ntH/MOff4aVlR7Tadk4/BeF9aTKn4sS5HmG1obfeGqTB86tsrW/4PLODKUkG+OcT7+w05yH24d73yHEHejYZ1h6uWJRaPLM9bAlSlDVxsUj7Rc8eG6VjXHOlT1nOfI7H1plkCo+9MIBiRJMFzWVtnzs4gwpXP/YsJewMymaDNHKq4aBjHXjLwM5biZUjQVcgLr7+bavCwESwW89f8DJQd6UX0Pzv8WRuUlRM8q7U5uv7P9YRERERETEUcWRJGfWWNI8dfYX2jRKlvalMV3rxmJD15qsl7G/N3ckrPNXO5RFw+CA0YaslzXLleooZZ4IWiuXgsOhnZoMEU7gSoj33LNKmkguXtqnqkxjW/Fbn7zMhz7hiMdXv+0ERW346HOOYE1mFbOZGya498wKp/yk43/27lP87Kc3eeyzW/R6iSdBin5D5Py1sbC21mvOq65NkyIQHovCqYeVJ5hvvX+d568csDLKWV3JGzd/7RnVIFV8/NKMpy/tU5SaLFFc2itY+BKjNraZplxbyRG4/rDaXB9VGNREu0TWnIJ2nU+Z/1YIuLq3YFZran9O06pkmCQu7UAbZoUbMEiFQMShzYiIiDsYsaQZcSscSXKGcP1ita1RSlGVVaOkWWupy7oxnlV+SrEqKpI0Warlh7B0Kd12JG0fmjOSNU3/lNZu2KAqq6VJUAi/SLLJ2xTC9aE9/9wO45Xcm9OmJIlkNisbewwpBf/ig88ihGB11WeEGst4nDOdlkwWFZvPuSDyv3lxjzxPGAxSEiW5/9wq1/YXHMyrxqMNnBVHN3kgKH9hmCD0r/XyhJ3dOXmueOHqxKltI9f8vzdz4eapV+KuTCr25xWLwpWSv+rNG/yHT2/ytnOrnBgl/Kend5pSpcvJNI1fmpKuZFmEKcuOYezhvrAuMeu+rqTAYvmpj1/hD7z3NADvOrnaJAUoKch8jFNUzCIiIiIi7nYcSXJmrYtYklJSVmVTktTeroFuX1WtMdqQpEmrsgXCVjnCpmkzOdMsZXW1x97ewvek1c1AQdhPUOYCAlEri5q8l5CmksEgbTzU0lQ2zfqhp8yRFGf5AS6fE9rzHo0ypBBkmWKxqJsBAYCiKHlhc+omQpOWmKWpYrFozSjCvt7/NfeTKckPfvB53xMnKStnEJt6Va2uDbv7Cx44s8LaKGd3VjaRSrvzmnvXezz22S2shfO7Jd/6Baf4T8/uUdSGUS/hwFuY1L48W9V1MxgxWdRLpKlrzttcQ0+shHCxT4cD2wGKyvCRC84Q98ygz73rfR/Y7oYRpIitZhERERERdz+OJDnDwv0Pn+bZz1wC4Mw9x9nbnbGYLhrFLKQGhESAunYk65G3nubChT2AhswtDQ9oA2s9+v2U9fU+m5uzhngFohdUusajDJdMUNc1wyRjsdAIoalrFy4ekKaKJJHs7xekqSVJVENAQs9ZWRqOHx/wdV9wmt/35lNMy5ofe+wyRaV56ESfn//4FZJEMfeEZ1HUnDsxIpGC568cNEMM0Db//+NfP4/WlpVhxhQaZS1JlPMGE4JTxwZ88QNrPHNtztOX9umlioUfctifVU4F8/ueFjVPXlvwzrMjPvL8Hvuz0veH+SlXITB+nDVMgWZehSs7ClpYt3uuiRIo4WOuhGjUO4FT0HKvBFqcAW3fX99e4lQ0RLTRiIiIuHMRS5oRt4OjSc6AJx97vik/WmvJexmL6YK6qhFCcPz0OsXCOf+HpIC6qnny8YvNPtIsxWjTliit62fb2nTqzGzqVDksjTrlus2d3YZSjhgMhimTAzccMJtVy31txjbWF9NpRb+f+D621rss9KOBI2kHBwX//hOXubRf0k8Vn73iGvHfcWbIyjDjYFayv180UU5FpcEbuoYhAndsd869TDGd18yKmjefW+XyzhwlBVv7CxLlLC229wt+6fFrjTrXzdzMUtWQIKUEn7mwy7HVPveubVDVrpG/mUoVzrk/2IEEBaysr+8/g9Y4Nlyzfpa46xKmZP35Z4kiTSSVJ56ZlFTaompDmnifOAEiamcREREREXc5jiQ5s550jFZHJGnC1tV9qqJCSNEMCcymBeWipCoqsl6GkMIRsU5/VpqllIuySRoIalu5KFGJolyUhPD0oMAJBHkvp65rFjNXiqyrmryfs5gtXMmz04tWV+6cdG3Je67U2U5mevuNsiLNnC2HEIKy1Fy5MuXKlWkzYJAkgh/fmjWRUuCI4OmTw4bQhFxQ2YkxEkIw8YTRGMuTF/ZceLpPCJhMy8ZKo6oMw37CbFFTlJqyUdgkjHKXIuAJ1/b+gp/57UtknWgpYyyGNli97e9b7iULJM6pY+4ch72kIYSNghb84rQFXKB6rtx12l6UKCG4/8SKI4c4YhZFs4iIiDsVUTWLuF3cNjkTQijgI8CL1tpvEUJsAD8O3A88B3yntXbnBtt9A/B3AQX8kLX2+255MN9jtnttt5muDGXG4GW2v73vDWcNxbxAJarpOQvY3dwlzVJ0rV1OpoDx2piD3QOscYMFxhjSceoGCrIEXWmqomo81sCRs0DwAjmTUpKkCXVdN6Sv6oSd10b7cHYX8RRIRZKoJmIJ3NRnkki0NvT7KUpJBnlCXTsPtEQ6O43NfUcUg3Guv1Csj3N2vKrXNYZdFC3x6t4PZov6uoQBYyxb+wsfN+WnYLXBWkHR2bZLjLS2ZKkiT5MmBgqg0oayMs26QggX21S7IQLly5mhlyxVsiltuqlQt92jl/Z55Fif+08OWfFh7JGYRXyueE3vXxERN0AkZhEvBy9HOfvzwKeBFf/8e4D/YK39PiHE9/jnf6m7gb8h/gDwdcAF4MNCiJ+21j7+UgeyxpIkCeWiaMqYRvs8TB/DJJUzmHWRTMqpZWL5F8AaNwAQpj2zXsbmpU1GqyO3noD+sE+SJg2Jy3oZZVGSZunSUIDyk5rBdkMpSa/nrB7q2jReZ0q1QeeDQdpkZjbndMgP7NTxobOKmFdkqesR25sUJInL7FRScGKYcN/aCr/rkXV+/lObTPxQwJUrEyaTgnc8dIwru3NGvZS9WclkUrK6kiOE4N5jQ4paU2tLpQ1fdN8qUsCkNOwvHIHrpZJxLnnm2py3nhpwbJhyetDjxz9x2Z2/coRqb+aC0ieLmlobdvcWje1I6L1bXckpSs3BQUGeKx6+Z40zaz3OrWacGKTkiUIJQSIEeSIxhibaaZgmlGHgwBhqY/n4hV1ODHLefGa8RAIjIl4mXrP7V0TEjRBTASJeDm6LnAkh7gG+GfjrwH/nX/424Kv99z8M/AqHbm7AlwBPW2s/6/fzz/12L3lzk0q6ictyhuytI6RguDJ0Yeg+tDzLszYVwDfwh7zMUMYLSlJv2GuCwIcrg6YE2Bv0UEqSZZK6tuR5sLswLKaLpqzZG/awxk2L9kd9V1YtKuZZ0vRShUnPYuFUPF1phHRxU4BT7vxXrTXFvGC2dwAHm8iNM5idK2C88jZYpbe2zmIyZbi2wod6GWsbI7JMceXiLmXh9mmNZb63x6d/swIhQXdixYVsfS2sCReWn7UWfOlwyTxNiHYb6UuZRi+zyUYOc+tJJZ3tiJTNhGySJs4kOFGO4FrYnQ64vJcxLzUr/ZTTKzn3b+ScHOSMs4SeUmSJJFGCsZ8gTZSbMk2UoJcG02CuU/0iIm6F1/r+FREREfFKcbvK2QeAvwiMO6+dstZeArDWXhJCnLzBdueA853nF4AvvdXBhBDk/Zzs7FnSLGVlrc99965RVBopBJcuHzSlwMmk5My5VdJUsbU1o99PWFvrA/DcZ7dQiSLLE7au7CCEYLQ6YufqDlkvo65qFlcvQtZH9ockSUugpJLNZGgxKxo1bW9rryFk1Y4jQ1meudcCb7BQFqXLA5WCJE0aQlUuStA1zPchHwJgti8tk6DZHouZmzidHmwyFZKdZvyx7QFr3Fituf41QbvPsI2QgAFTg0xaMiekzxLVbl2j3WtSufXDOs3kpWj848L7bgYeak2SJa4H0Bg2N2csFjWXU680nhghRE6lLdOqxgLGwsAqlBaU0h0vkZLU96UVlWFa1KRKMsoTMj+5GcucEbeJD/Aa3r8iIm6G7jBZVNEiXgq3JGdCiG8BrlprHxVCfPXL3P+N/nze8H+kEOL9wPsB1OgEZ+5Z56E3rXFle87KMGPUS9jWhgdOjfnGd59knCue2SqYFpqDRcXOpOTYao9FpZnOHOk4fXaVqtI899QlhitDqrLiyjPPgZCUl7f8gSWkOaYsKWuN9AqQLe1SPBQWFrOF+4UyGqqF98iomPdXWoVKpd6mfwLWGU6U3V9Co1tSNNttX08yqMtW7XIXxe0vKFhCtOoagLDXqVnXKV1CLitidenfj+kQOU/EpHKvd48l1dJ+AzEL3nMASqqmJy8Q2l4/p641QkBR1Ggt0dryXLXPotTsHx+y1k84Nkw4NcpYSZ2aN/ADCH2l0MZ5mxnrrDUyJZkWNSdXcnqpQsYBgYhb4PW4f0VE3A5imTPipXA7ytlXAN8qhPgmoAesCCF+BLgihDjjP3WeAa7eYNsLwL2d5/cAF2+wHtbaHwR+EKB/9s2210vIE0WeKXb2F+xPJVevTnjq6S1+NU9YX+9z+fIB+1v71HVNVVRuovLy+WXCYjRUJYX05KQq22W6cuSnnEMxg8Eqpi4prWmJCbh1imm730CWgso023OkRipIe37dVmlaglSgEkjyhvRk47EbOig9OZvvt+cVtglEy2i3vbto7XG7+4eWUOnSET+h3PMkW942fB/er67b/QvhSZw7fvdTX6OeqVY9W3qbUpBlCUkimsnO8PrV7Rm7k4I8U6yPct55bsxGv+LkMEP59ayF1Fgslp2iJBESYy1nx322JxXrQxfkLhCxFy3ipfCa37+EEPEvbsRtIRK0iJtBvJz/GP6T53/vp53+JrDVaajdsNb+xUPrJ8BngN8NvAh8GPjD1tpPvdRx5Oq9Nv/Kv+TIk66d2lMVnR1LRxrS3JEqaMmSSlvSkfVaMgYgRatsjY/D/rVGxZLH7sFMdlpVy5ccAU/GTHuMoCqp1K1/+BoGBepm6BKjRr06zG46Kld4v+DIX/e8mjKkaElj1gejEfkAu5i41/Ihae5KubYxYmvPUSbpoVNs7UKkko1fnBCiickKr0klGz1BKkmap2R55nvS3KBECIoP/YBSCvJckecJK4OMjXHOF5wbcWLgziPz6wkhkMCs1uwtas6Mcs6O+qwOUo6Pc3pJG+4eceein4pHrbVf9Pk8xmt1/4rkLOJzQSRpdzaEeHXvYa/E5+z7gJ8QQvxJ4AXgDwIIIc7iRs6/yVpbCyH+HPDzuFH0f3SrGxsAxsD+JgxXHYGoK1cmvOftbvnWBfd84cxkG8WnN4Jy1hKYUAIMtbFAcmQKk2233XAd6gKzv7msuAXVyr2p9vVAiLKBU8hgmWhZA1a0pCtgaR19/escWj+UI63xx5fL5wGgwvvxalmS0F9bY76z3a6T9paUtWADYnSrDHbLlOGTXDD/FQg3HdvxVrPGIpO2J69b6On6sbnnwickWJQSJEmYdnWKWuab/ava8Nx2wdbUZZwOM8n2vEYb6CWCca44PU6Rot1fURnyREZb2ojPBZ+/+1dERETEK8TLUs5eK8jxObv+HX+L2YvPOyJ2I+RDpxCVcxhvOCVouuuWrRx3X3XtlLPQXxXKlSvHWX/Tvext7bl0gHKBzHpOOTMa+ivL/WC+Lw0fjt6aluWt0haUtbC826zfJWrheVC7utc/KG5BDYNWrUt77lhJdj3xC6qZkEilQECSOOPa8GgP7yxEQkO/O0Rw+hdLsVhNagKdXrNQnvSTmqGkGfYlpHCDFYIm4SGUP1v1zCloSSJJU0WWucfqICP3PWd5Kjm72uP0SspGP0UAhTHkUvLQ6ohxP8ViObfeJ1VxQOBOx2uhnL1WiMpZxOeKo/j3OOL2cJSUs88fdMXs8Q+7sl7mJi8bJSvtuZ6otOcJkVfZyrlb11o42Hbr9nxpsktm0gwmO+x8asu9nvdBSMyus7JYf8d72bm240hQKKVa7b63Bnp+4Ksu3FDAYYIVYLQ7R0+cZN+dS2/QY3btqluW5k59axrvJWhP3pJkWRUz2p2TVEuKlWj6uZL2dRwJC4kHwRculCJvdAMIpMxd/hoRyJYnbBbbWJeITg9Z+F7IdpJTa9340XUFwTbuyalmvV5Cr5cy7qcsKk1Ra7S3P0lUymeuTHjikmXYS/jqR9bZ6GWs51kzrdnPEpe3yY3b+yIiIiLuFERiFtHF0SRnQSkKxAzc87p0xGy07sqKu5fbacZQ2kyytqFda1fS1BqUwlUmcOSnN3TbGQ2L/YbA7XzmU+36oe8s6zsSVdfNRKYar3P8zHF2ru5Qbl8BXbPxyFuoioqDF19g5d772N/caRQwU7r+sVlZLr+vvHMe3UnMgK7dhe8pM6a11ZBItNFNfmjTpN8hUEhaBc2rXGG6ElrlDIKyJlyElhDLy6ylruum5yysr41ulLMkS9r9SOf/FjzQXP+ZaEx8hRDkqWSyqHzclGjIWVkbZkXNotT0M8Xlg5JUCnIlGXqzXiFovt54sC4iIiIiIuLOw9EkZ0nWWj+ExnVdOdJlvIqla6c8JSkspu0UYpI5Dy9w6lZQx4I9hG+WR8iW7A3XYH7gtlEpJBly7SSmCiVL6xQzo90kpVToGVzZveaWC4FYPcn2xatQLeidOMP+C8+5fR8uQYZjdEkXOO8xIZcNYoVySloop4bSaSCN1mKsJ5w+aN2Ktm+sG3cVgt/dvmmiqdyhWvLVBsB31LHOcqWcImYwzetKqaVPfd0SaZq795OmLsKq10vJc9UMBxSVoSxrn4lakXlyNyvc4MJiUfPsouLi9oy33rPGV9wv2MgzEiWagHmBMxWOBrURERF3KuLkZkQXR5OcVYUjKbXvFwseYAD9MeQDR2Sme660qNLWqyvNaAIajYbBsJ3QtNaVP6Vy5TYhoJi7qc7+2PWs+b6ujZMb7G7uAlBfu+CIYHDXb6wmgpplsKHfLcm47+HT3POVb+a3futZFlMXlm4WneGBumgJIp1J0FCqDSpa+L7xKUuX1bXgmWYNRiaIrIfVxql0KlkiSY1ZrDMNozZ1UwZdGgLw5VAsbmjA+jKon1INiQBBGQtB84Gohbgtl9jgMkulkix8KH1dG7JMkSTOlDZJ3GvWOgJZVd4vTQq0Nk3KQ1UZnr60T60NZ97dY1QnpGo5NzTw74iIiIg7EZGgRQTcQNY5AuiarVrryFpQ0cLkpkqhN3BEKfRm6coRsyRxj+Fa2/fV7Nu/5bDPxKtYunIEbT4BXbP57HPUO1epd662Dfq9kftae5d/qdzwQFDtAHTFkx/5NPvTkne95160diVH2Rsie8Ol8mQzFCCkVwXr9rXQaxasO6Cd3Ay9dmnuXvfbWGOgWjBYWwGjsXWF0RprDEbrpX6zEBRvtKEuK0IMVihZ2sB0gi+baGOqghLX9KPZNlbLnaaLuioXJVVZUVe1+1rX6Nown1WUpaaqjPvxVoaqckHvRVFTFDWLhXuUpaauDVobDiYFl3bm/NKz23ziyi4H8xrt++EskZhFRETc2YjELCLgaCpnASppSUrWg3LhyY115UVr3OvBc2y275S0ZOS2SbLWEDbNlxvsg5u/0a7cV5Xu+9G6I2qLSdsbNj9wPWqVy9psyFqw8kh7gF/mydeHf/njZOOxI0Bl2VpmVAtH7oz2vWwzd55JtlzutKY1qg1KWtprVTdohwlCKbQuQSpmO7vtNTQgU0ceQ3B8IGUBIRXhcBkz62UubioQ0iTDAML6AYDaT2kKyPt5s62udZODGshbCJbHur40rS1V5d5Hmrr0gLo2zOdVsx8hnIIWvNKshf1pydNXp0xLd/77iyH3Hx+yOkiwvsUwljcjIiLuRHRbSCLe2Dia5EwIR1I605RAS0J0BVkO/TXYudSWJ1XSKlLQkqnRRhu3BI5c9UbtBKiQrvw522/Jjp+MBGDtNKo/AJxy1ORlbrkJT5mkmK79RV1CXVDuFM0xxXANACskbL/YWnb4/jGZ9bzFRe4ULmMQ0nmJWWNdiVGItqRKeCtySQqXUlLvb7v3lg+hmGKSrOlb0/76dn/1LT5B02hMIKxCUIZycCir6hqsxQqBNRIrLRo3mTmfzK87Jyml17SgKio3wSmtI4aJ8pVmy95eQZq68mZdL9t3KCUaolaW7vpe3p4hheCJnqLUBmMtj5waMcwT914iSYuIiLiDEUlaxNEkZ2FaMxCl0O/Vdd0P5qq9IRxsOSIyWm+jlsC9NtuFPd+4n3glLjTZr5xoBgNk3sf0VxyJK+cw2XGxTABCoA8ZuTa5A/kAM91zhrmh/y2QPmvcee5ewW76/GSVtD1w8333Wl1hGgKqXOnWH0fDsifaodqdCcTJT6wao53iBlDvuR68qmgnV7vXuOvF5tMV1NoJ9O61TinVutJvKKVa14+GBFtrhE8WCCVNIZx1h7EGEhciH6ZEg92GShRKCarKsFhotHZlTaPb3jUAi8UYN0ygtQVcOTXLFNNFxYWdBS9szzl4kyNt924M2BhmSGEx3kIEQIrogRYREXHnIZK0Ny6OJjkDVzKsy7YsuXHWEaZi5lSv3NOj6V5L3Ob7rmcskLPTD7ltuhmVwb8s6zulbLDiGuqvTZbNXkNeJjgyciODWXD7rsumMb+ZrGzex9SXUDuXuilLdkhc6GHrHqObfRnOv4vueYTYqiTvGN3WUOEI32DszjUQvG72p2hLvXp/212jJl2hY4wbzj3YlnRMa7voJgzUVe0mQ8Plk2Eb60ROY5sSaNjWXYJ2EjTPHTnT2mKtYX+/YDIp2dpb8O4Hj5FKwUFZM13UrPTdoIAbX/V9clgEjqRFRERE3GmIgwJvPBxNctZEFtFOaV75bLt8uuMeXYQSZheXn1l+bnRL1IopDFad6haISLDKCD1gdckN0Q1Ft9bbeuCIY5fMdEnVYMV9v3et7WULE5lh0rRRyAB0+7rsqFjdY4NTxgKRU51pT4Ck1xJO34+29F6bYPekY4Tbeqg1al33eMGCRCpH6uoSY9RSFJRKVDMwoJRyiploBwWklFQWklRhjBswcG/PLilnAFVZMTHGXRNB45EWAtVf2Jxw71rORr9msqiZFppxTyCFQEp//QNJs9FuIyIi4s5EJGhvLBxNcqb1snIEyyU430u1hDCVmQ/hYPOl95/2HJkLZcsuhPS9VWZ5CrMhMmlrYRGa+qui8T9r9tEQGOkIzsyXMFXSxjCBIzgqbfvpDkdNwbKKRSdUPc3ctTJeuRustIpZli8TrkDAwvl1VT5r3EBE6O+zYYpULRPaJOsQT+Mb1aAxHAOsEGh8OdNYlxaAwgrXnyaM6yHL8oyqrN3QgFfOgtoGrqR5OO+zPZTFWsF8XnH+xX1+anPGe998gvfd48j0xjhjpZcyyANh9KcniH5oERERdywiQXvj4GiSM2scIRistuSg23NWTNteNKlaW4y6dIpaIHJdxSeoVIdfDwh9YIGwhCgoaNWktNf6qOnKnYe1jrToKjiitqToMOECSNRySTHJfXpB57xC2TEQQGMd4bL+uGG92X4T8j5+2/s4ePpxT/xyVzINpEupNgw+lD8tjtiBW56k7VRoOD+Vtu/D1N4I2G8vk2WlrUueoVHDhBTN9xI32Wm0oZgX7Tp+eEAbzZLRv3bLqqIi5IEaYbBWOUFPCoRwx7uyO+exRJIlkq/bOMUwV+imRAouyCoiIiIiIuLo42iSs+CrFSwnmtKaahWgMDAQiFDo6+qWI5PMDQlsvdgSMyEdqQoTjF0lSKiWcAjZEoXGFLbTu9ZVv0IGZ7ck2BCdTtJBgFStqmY8Gcz77ryFwOUe+WlVCaBBW3feWX/ZA82fx8HTjzuSdQO18cEv/1I++8lnYbLVDi2oxBFNWLYVMdqXSgPpEi0xDGRTJq3fmjhEdKUvadqO6a2A2tZI486nrmr/Y3ZZna7xP5jPtn10wThXW91YdgjV9qxJH1FVFDUXr07QxtJLJPeM9nnnmVVW+unSqXnxzBnbitiDFhERcechDgm8MXBLciaE6AEfBHK//k9aa/+KEOLHgbf41daAXWvte26w/XPAAc7Fob6t1HZdt0qMrpctMkJZs0vMgmrV9G35bYtZS9S6alDwGpO+Ub1b7gsWHl1LDmhJTzlviV21cMMJgagF5Wz9tBtMCGXT7pCANZDoVoEKE6lKOR+3rOeIGUA1b/zFmpKt7BCwbNDGPlkD6bBNR1CqUcY++6v/0a/fc5OgxquQ3V/ucJ2kaglciLoK5K3xhTNAZ0o0lELdDxyEbIcEPCMSQmClXQ5NDxmhtrXf0HWruAVFTbCc8Zl4XzatDWkqm2ioybziyt6Cj13eZ72XMeq5/97dac1A0MDnchK83Yi4C/G63L8iIl4DLE22R6J21+F2lLMC+Fpr7UQIkQK/JoT4d9ba7worCCG+H7hBA1eDr7HW3qIRrAMhHDHQVVu6LOdtOW6+35bcmpKhacuAXfUoxDWFbbv/iQ8HjXcNYHWnFBnUtaAWzfcdKaulmyoNJdWgpG1fdF+b3iy9fNxyDrLslBClI5LWwu4VV84Nv3hZvxNRJZZJVbVoe9iEdPFT4HvevEGvVK602Ru2+aFNRNShX2gpXB9Z8Jkz2TIB9u8xX12jKioXSXWjCVLf5CU6Khj4G4ihYUdGt31mutYIKVrlzJvVpllKVVaOpPnlea4wxpIkkiSRjUktwNbBgme2Egp9jad3nUnwm9fHrPRTzq73kF6pi3jD4LW/f0VEvMaIvWh3H25Jzqz7iXsrfFL/aP4XCEffvxP42lf1zHTVNqKDIwHDdfd9KP911bNunmawrbAW0rQlNMGr63YRiIfuKlyJN5ktW8+ycJ7d0mCXOCrZTpOGCczwvTWtXYhULjc0bN9Vybpq1VLJsUMwD/V9UXYmWINth/RxV/oQMfV+ZZQLN1hQl+59daOjvDJZbF9bHnagQxiDyubRNPp3CFFQwULkU1DIQnh7QFW46KdA2AaDPlob5vO6aeoPJU6tDUWhmc0ERWXQesy5VUeWLxzMGC9SDuYV9x4f0PdKmwCsaCc6o3p29+F1u39FREREvALcVramEEIJIT4GXAV+0Vr7m53FXwlcsdY+dZPNLfALQohHhRDvf4ljvF8I8REhxEdsNVsmZvlwucdMCKdYheeHm/117R9VW8J8OaQsIGRuAo3Xmnf6bwhaf+SULvADAmaZuNTlss1HsOlwb7pdN0RVhfcXjm+0y/wMpCX04XVLsYHYdYPSg7LYGNIW7ZSpUsvbCunImtZt4Hzzg5Ft2TgQ3PDerGn70TxpHG6sNwqfNY60uXzP1s8seKOF18JUZ13X1JV76Fo7m41ao2vtLDX2pt6Kw9loGGOZTl1Op7WglCDPEx45u8LvfvM6tbbU2qKEYJAoRr2ERamptMv0tODVVKKadhfjtb5/vWonHhHxMuCSVOInzLsFt0XOrLXa92PcA3yJEOKdncV/CPixl9j8K6y17wO+EfizQoivuskxftBa+0XW2i8SSb9zhp3m+mZ60ROQYGXR7elqwsRfxf+kIY0gHy7ba5y4zyl2KnURUdCx0OgoTl2EBIKuwhbO+zCCEraYtvs67DkW9h9IJBzqBeuQqeYcOqa53fOTwj2CqtZdHghwV4GU1wuv0+2dJuap8asTPpS9+9aW7DECU2phrSduPpszvFaVFYtZQVnWzGclSrmyZqvGWfZnFc/vLMiUIFOCyljyVGEs1MayqBxBg+XDxqrA3YnX+v71ap13RETEGxe3Rc4CrLW7wK8A3wAghEiA7wB+/CW2uei/XgV+CviSWx+pa13hFbOQjVlMl8ttxazTd0ann+oGZOdWWD/Tft8pzdEbwdopeOExZ1oLredXb+Cb72uXlRnKnF2VSbzEZQ6qXggXD6XNpk+uQ3Ka0qFXsbo9ct1j6NpbfnhCGxS6QBq7hDCso6vWXy5JOuqdJ76BJHfJXDi+qW+sYh4aqrDW+txQ20Q1HfYx667bJWWBqGFdqbQu62Y7Y1xo+mJRU1WaWVHzsfP7/OYLE37zhQkCKGqNxbYCoHUDAUsKWsRdjdfu/hURERHxynBLciaEOCGEWPPf94HfAzzhF/8e4Alr7YWbbDsUQozD98DvBT55e2fmpwarhR8M6LXlwaYUmHZKiJ4Q9Ea3tfsGKm2Jzf5mS7C6StTBpmvyz4euyR68p9qeOy9rXLZmiH4Cd64hLirr35qkAY2/2+6Vtmwb1EIh/dSm7ChXHYuOhgh61bCYL5vYdpXEsG2XsFnTErTaE7JQbg3bQMtswn4bptMhxJ5QZsNBuyyUOfFKmXBeaIfjnwIps9aVOqWUjFZHjFZH9AY9esPe0ii5rl2vmbVuQGA8zjmYV1y4NuHa/oJr+wseuzrhie199mYVFtuoZ5NF7Y/lB1j99xF3D163+1dExOuEWNq8O3A705pngB8WQigcmfsJa+3P+GXfzaGSgBDiLPBD1tpvAk4BP+X/syTAj1prf+7Wh7TLxAKW+7aMdmdSVR3FzCtMxew23lIHXRKmK0jXHQmabC+rREnmJyO1U9Eqr3htnncEZzG9PlezLjumrSHuSdxc1Wv6xzzBCv5pgZwuJq0dCLj+t/mBH5DwE6ud/q9l8mYdsayKtiTc/R1Ocq+A1e1y/ERn8EPL+q0VSZcUhu3Dcz8ZWx746dCmFOuGGixgtW18zEIagLAdmw2/zGjD/vY+QrooKKkkUknWj42YTSvSTHnlzKln02lJWWqSRLI+dOf9mStTnt9a8JlrC44NE95ybMgoTRnn///2/jzasiy/6wM/+8x3fPOLObJyqMqsyqy5KCQhQGgsytiS2oglUAu1BEuou6UW3cYWWG5Dm2Y1aoOxaWiwrCUjeYGFWqBGliw0IBVqjaWaq7IqsyrnjDnefMcz7v7jt/c5572MyIyMjIj3It7+rnXXu/eMe59z33nf9xu+34ATCzG9OCDwFZVWKDTKCNw6PBA4hOeXg8PhwnVv3v9QR/EGet11HT/+5w57GA1sBMlqmYEQFFssb2HJkLV+ahfWt2vVoBHAbe9n9czasOnEPBVZEav71h5XO4UK8t46AtTdrK0O0vrYrahYEBorqMKo/6smzem1CGG7ng4a8tmOCrZdA1o1cqvnT6MrzeYVSQ37gc/62XWuvnJV/Dfbl9wUt/qBT9yJqUyNmJXTsGTNWjwNhlKn6PsKrWF1tceCIWeBr5imBd04oKw051Z6LHUDzi1GdAKfU72EXhjQCX0WuiGBr1jsRrWlqVKuk/NuoxOqTz4o9VpKqaP3UHVwAEfY7iKUurPPsKPpEHCvcTBlCvujW5aY5Wljn9QuzLdWUkEkaclsJiTKpiFtx6jd1togla1UYVteo204bt0QLBFsp21tnZqFslEzb3/9V7t27WAa2J6zLJtxVYUEucK4uSa1a4Lafyx7PdrHq3RDIFt2UNO9KSsnl1h778Osr/X44tNX2L62bTar9osqKk0QBERJJMRMUWueKaWkBs0T3TTP95jNRAvN8xRR5LG9PWNvT+5pEHhEkc8sLYkjn1c2Juz2Iq6Pc9b6IS9szVns+PhKsZgEvHNlaAKQiu1JRhL6rA/lWsThmyrTdHBwcHBweNM42uRMeUJG5uPXdj3eKdiGg8AU0Fv3gYPG6rbD8swTcO2lpni/PdbZSAhN3Gv2sVpodltLAi2puVE9mGZ/Ab7nSyp1stPokYFoktloXnt7K6LbW5T0q5W7sGK+YXzjhgJrpF7LduRiK2XTtYWkkf0T5yn3thoCWxYHfEFt80K1ryN1unmd6eZ18EOeAZLhkCAMOPO2da5d3ma0Pdpn3xTGIbqSlGfciSmLkiAM6uJ9+1+g1UoTzTJFnlcm2uWZ9Zqy1IjIO8SBR2YaB/amGcNuRKVDepHPINZcn6ZMspKv7I74Ew+tcWoxcb6cDg4ODg73DEebnFk1/rsJW3RvYd9bsgP7LaAuPtM0AWjVKPdbE/SyaAiXH1B7dNoolFKNhps9viWGuqI2VY+MnIi1ULJdojtbTfTMmpJbWQylwDfRu7gnxCzuCGmMEqnHs2TOD0X7zB4HhOy1CaeumsaClqhuuXFxf5rWOgrYY9k5a93IeLRJqIm8zXckqjbe3KrPq802vu9LZ6fWJHEifpyauknANg3Y9Gc76mbTkFVlyZvUoynl4fuyXVZUZIUcvxinvLIx5qG1Pg8vyXX/5NUdnlju43uKrKjoRAecEBwcHBzuI7iU5v2Fo03O7gXaxKyt9n8jWNN124nZGe739bR1Y/YY7YJ8G30qiyayZqNz1mIq6cv2GU0asyyE1ASxSHa0x2ijX9Y+CkSGQ3mybZ7BnjF5Lw6QziJtxmbPFcRNd6idaxBAksixbP1ZWUIcNHVzmv2NGcW8SYG26/Tq87G/69Su8/d/Hauqwlc+Rd7IZrRr0YB9xKzx3pS6s3ZRv1LUwrXjeYFS0IkCpmlBpWGxF3FqGNHxfZaTiD/10Cqd2Bde7btUpoODg4PDvcPxJmft6BiIA8DGq42Iaxth0lg2WQmJuXGFCeMmHWhN0Ns1Wu3if3vsg56UVWnSoGEjqWHJTZkLKcrmTYQMZLlNw1py1La1AnEwqM3Qw8aH00a3LNp6anY8WjfRNTggUPs6/4XV19V77XVsNyfYcdedrM0xLRkryxK/8msFf610nfr0fO81/w3ajKrv7y/iL013aJ6XpGlJpxOSZTK3bifkqTMDzi/GLMYhGvA9RScUVwHXDODg4ODgcC9xvEMCB4nD9ZepBWFvBF3tL8C3tWrt+jNbJK88Scmm08aayRISG50KokZXzR6vyJq0qbVSUl7jjRklEHXNq9OkC62dVFEYD9BQtrXRLtuR2XZQsC8bPbSNDHYsllAWqbyy+X6Xhvq6tHTOLKmLe7J/njZjK4vGF9WSV3tdKzlvOxJWZKJDVuRFrYlW5mWd0rQdnG3YlKb4daraFD0IpEmgLDXdbshkkuF5irKsmEwzro1yfKWYFuIeUFSa3VnO1jhjb5aT5hVpXtWpUgcHB4f7Cc7e6f7C8Y6c2SjVQfPwtqArvFYZHxodMRtJsyTKNg7Yz2UO092GgMW9xm/TD4XA9ZdlG6stppSkODsDEca19V1+IOnFWtYiaMZlDdNzY1yeToWU5S0ymdoGgAMaZTaS1f7Fbacp7fWx2yS910boDmKya/TRqtY1bWmvWRJo52ZSnKplaG7f20aAwdIArTXZPGu2QTUNAbWrgKIoSkTaSqJmeV7g+x5pWpCmcu7pVK6H5ymefnWHQexzuZux0gtYjEL6UcA4Kzg76NbT6icB3djn5EJy43k7ODg4HGE4DbT7A8ebnLXrzSz2SUIY4qFukp5TnhGG9W58vBsdq8iESFnnAz9s6tBqn0zTXRl3Ye18o3PmB4bYGcKV9CSapbwmeldmTQOATRnacUWJ1J7Nx83467G2flkPElHT2BA/9DjptYsmCtYSAG5LaVgRXE81Ubr2OltDZ89vj2NImzaRKT/ya5snrTWe77G7uUsYhXitGrCyKMVTs6zwAx/PCylLXdeXAZRlQZbJGIJAGS9O8LyqjqxNpxm//cx1OknAn3nvOonvEZc+C3FIWlQEhihO0gIFXNmZs9yPiILjHXx2cHC4/9B2WXE4mji+5KydUrMRNGhZELUIii16b6NdR8Yt+Hi2a86mu/vH4AdCvvK5kDSbArU1bUlfSJgdp7WQmk+a9KhSEqlqC8LORo2Mh3VOSHqsvPsDbF7ekM5TOyZt0ow2EggN0dIadEn60peac9tz5KlJl9q6NpPe9cMmxdk2gbf7VSX4rfcAvkdliGfpSdG/0sZFQEutWVVVtQitfcD4gY9SiiD00RryvCIIPEpTH9e2ZZrPK5SCyDgLBIHH+VNDLm9M5NbMcjYnBcM4IC1LhlEopX+my9M2B5SmsWDYCet1Dg4ODvcTXBTt6OLB+rc/6b9Wif9maHcK2jqqN/MlfSPdNZt69MP9Y7Km6BZlLsQpm0mtmR80kaWZIWejLSNka4rzi1xetsvTnqfSom3WW2iK/u04kr58nu6x+cnfgctfkZq1qNOI3AaRNDfYerX2uK0hOzSitSDb27o22x1pU6Gl1V3T+8mw/VyVdNdPynLbQWpeZZpSlZX4buqGgFkZjaqsKIum/kwpqR+zn/O8pCgqiqKiLDVFUbYiaXLvHnloif/sW5/g0vUxeV6yvT1ja2vKv/3UJYpKs9qJSUKPJPDxPYXvKRRG7URrsrJilpeuDs3BweG+hatDO5p4sCJnNtL0ZtDu2LxTQre2Fq3Mb5w69XxR4G83E9iXFXS1ch2pldkY7O+cBCFWupJj2RqwXDU1XomR7PCUEZBVjeiuTXHCfnP1PG1snYKWhlqFbB8aTTZ7zN6CkfZop0ir5rzqQHSsPVdgevXyfgeCVhdrVVZ1R2aRF5LyzEF5iiiOUJ6q055FXjR2TpYsmWeO53kEYSDHMBG4stRM5jn//cdewvc9xuOsJnKjUcpvv7BLer7inSsDljpR3diqlEKjKSvIC82EgrLS9GJxGHCenA4ODvcbXJrz6OHBIme3g5sVtL/VY95ML60tZ1Fk+6N3qtuQE2v/ZDsce1ETBbP7JL1W6lI1ZAtMdC1romGdgalzM8RMV68V3M3njSen8iRtCtJgEEQSyfP8pubNSn4clPLQGAsnS1KL/eSrJWiL5xMtLPPH/uTj/Oa//cy+42it62L/MAjr9wolKctSHiq9fg+tNefPL/LM05fkMptImwxTIm2WuA2XEuI4YG8vrcVqJdomRG8+17x0dUQS+iwmAWlRsdK1jQsis+F5itLXaO2BlmOEvkcYKKLAw3P/jTo4ONxncCTt6OAN05pKqUQp9XGl1GeVUk8rpf5vZvnfUkpdVEp9xrw+epP9P6KUelYp9ZxS6q/f6QncNg5EaV7z+W7Bqv/bQvkwafTKymK/L2fbbLwsG+smL5BXOm0IXqXNvmWz3DYb5Kl0fWZzIWB5KtvbbssoEaKnK9FF05WQOxs1m43lFZpIX+2X6ZljZqZmLm3Ibhi9Vi+ubgwQYnbqXU+AUmTjEb/5ix+XsdpoYyUpS7Q8KMqiFJJVVehKJDVsanN3c5fR9ohnv3i5TmtGcWS8Nr2amNko28bVPXZ25sxmOeNxRllaeyeJ1lVlxYsvbPGJZ67x2y/t8Tuv7vDlrRFf3hqxk+akRSXkS0NRaUrzKqqKvNRkRUXpUp1HAg/s88vB4S7iRs4rDvcWtxI5S4Gv11qPlVIh8NtKqV826/6B1vrv3WxHJVoG/xj4JuAC8IdKqV/QWn/xrQ78LeNgkf+Niv7bOGgW/mbRrrnKZvuV861sh/Igyxr9smwmZCjpNxGqdpekbWawEbC23pptFLApyzbxtITNKvKnxqw96hjxW2+/Fps2UTDlAWVLy01JHdp8st+eqiqbLtIgaJoGAtuwIGO5/MxXGpLabhawYwSqsqjH6fs+yiYYa5UTSX0qpSiLEs8XMjYdT2uxWqUURVbsE90d70pUMIxDhsMYz1PkuaSNszTD8z02N6dc2JiweHaBwtyrrKxQEYS+IjQRMq01RSUyuWVVgfbwPY2n9wvhOhwKHsznl4ODwwONN4ycaYEt5grN61bDAh8GntNav6C1zoCfAb71tkZ62LhVYtYZ3nx/S0BsVMyamrc7M20qs62jZn/e6C+9JVGGWNQyHNbSqVbfrxoy2E6ngpHdMMcOY5hsN2TR1sBZQmaL/G1Uz8qBtGFN1H2jaWZlPQ6GynXV8iL1aiFaoJHa8Ex6Uoudk0112oia8hp9s6qSSJocu4mC2fVlUe47DsB8Muel564xGqWsrIivpo22FXnB8y9vsz0rGKcl47Qka0XHlBKSZkmf1lBpE0UrNZXpEnUZgsODe345OLw1uAja4eCWujWVUr5S6jPANeDXtNZ/YFb9oFLqc0qpn1RKLd1g1zPAq63PF8yyBxc3M2q3aUBoIkjWegnkvbVrsrApxDpqVuyPLoGkRdv2R37QyGG019VelrppDGinJu36zYtC0IKwKdS347B1ZLC/67JNMu26g8K99lhttmJJpP3F98NmTHaZUiKb4UmnplJSN1aWJUVeCPkyNWXUh9U1AbOdnVUlRC3PcnlfVfukNnY393jxK1eZTWZkaYaupMlgb2fG0y9v87nLEz53ecIXro15ZTRhmpUUpSbwFUnoNw0DSCenTXdWWtfWUw6HA/f8cnBwuN9wS+RMa11qrd8HnAU+rJR6CvgnwKPA+4DLwN+/wa43ots3/EullPp+pdQnlFKf0MXrmI/fYZz++v/g3pyoTV7aJMt2dVotsjJv2R3lsLAuRMUPW+KtqkkfFllDdmxEzhI+6zrQLv63dW6WQNVCu6qJ6oHUmAWR2ETVNW9B03TQJlC+30QGLWE7SLLaxNB+bi9vj8fKmphtdKVrQlZV+yOYbZJVliVlUdb1aZac6Za4rY3Coam3kek0zQPtYxV5waOnh3zwbJ8Pnu3z+GqXxTii1Jq8rNgcZ2KObsRoKw2+OYfloeqGvwYO9wr3+vl1Rwbt4OBwrPGmdM601jvAx4CPaK2vmodeBfwPSArgIC4A51qfzwKXbnLsH9daf0hr/SEVdN7MsN4SLv3GL92bE5WtAnsbIWuLw872pLYsMlpiluTsXnutHIUlbyBSFvNxQ9hCWyMWSj1Y3f3YUvNvi8Nab00rZOsH+709s2lDAueThnRVRUO+/NA0BbS6ONuuAO3zH7wm9biCRjD3oJWUhUlJFkVBWZR12rJe3dI8qyNmZRMlsxGzg9tWZUUQBPiBv4/I2YaDX/rVL/H3f/4Z/v7PP8PGNOPMsMMgDkhCn34c1Pq7USA1ZpWZc23WTiOC63B4uFfPrzs7ageHowGX2ry3uJVuzTWl1KJ53wG+EXhGKXWqtdm3A1+4we5/CLxdKfWwUioCvhP4hbc86qOEG5GON0I2E2KycpbaTN36co43ZRtbxN/uYLSEKhnIS3niYdlOheaZpCUP1nMd9BC15NCewxqUa900BdjOznZ60hJMO/eikLSoJWRtOY92NM1G8FoRsX3eplWx31TdspmqRBtSZTs1bU2YRdJNah00WyuW9JJ9ac22rIYldrrSoCDuxIRxSBiHJL0EP/DxA5/uoCvNBp5ivDdlvDfl//HPP8s/+fgrFJVme5yxO8uZpgXzrGSaSqozKyqKqqId5HPPtcOBe345ODjcj7iVbs1TwE+ZziUP+Fmt9S8qpf4npdT7kDD/S8BfAVBKnQZ+Qmv9Ua11oZT6QeBXAB/4Sa3103dhHjBYFTmI7ctNVOmtot0VeTPcTgendTK40Gr60pWQoXbHZFXKZ99ElbKZ6JrVrgBBQ2ZsBKvImvSnjXglfdm+LCQqlk6aOjJoImaWONkasiBqSKJNe9bpz7AZa3ngWlW6cQuor2VLHFe1atPwCBdXyfe2QZegWrpvNpVr7bGUhwaKssALw9pXczqamlOo2iR9YroxZTcZS03qlHhyRnFEkRUEQVCnN3WlCeMQrTVBKL8enu/tS4v++u+9wuWtKX/ug6coqopeGLAQh6z3Ejyl8DwoKx/LH6PAA0877bPDwf3x/HJwuA/g7J7uHdRRvNBed13Hj/+5wx7GvUdn2DQU+GFjdG6jX5YwWdkK2+FpPTEtuWp3gtr9456xiIqb7WzEzRKwbNZIcwQRBLGQrNx0ffqm9qz90+JGEcTar1Tv39aSSq33R/381v8KloB6QU08425COp40RK/IUFFSpyetlplSCs/38AM5hnUHsF1H7dSndQxIugnpLCUIA4IoaLo+gU6v0xqWh+97KAUrK13e+dASZxYTTg5C+rHPowt9xlnBqUFCJ/LxfUUceMShTxx4+IYoKkSWA8BTjTXUcXUY6ITqkw9KSlApdfQeqg4O9xDtZ+xxgVJ39hnmHAJuF3dC9+xgN2M6aSydrB5avb2pU8tmzfJ27ZolYrZuq6LRMmtrodllWksUDmRd0m+aCc48ARe+1Mho2PElfamR6y3B9mW8Ew9RXX6hEZyFVnG/blwLajuoqBmHjYrVpudhEy1sw+rPVSXprnSV+p0uCysLnDy9yMvPX2WyvYv2fHQpaVOtlIjUGhLbJmZVWRHGYa2PZq2dykJq0vIsJ4xDgjCoSZ5calX/tARqb2/OSj8i9BWjtOQPX9lj4cmQM4OOROdM2jQvNVCSFVUdUBR9NBGxrbS8fKUIfY/IkDjfU3VZoMJppjk4ONwfaD8v2zhOZO2twpGz24WuhKSEEexcff1tow4MVuT95oVmf4t2J6eNkPmhvNbfRjRYIHv1yxIpO2hG3q5Ns76ZbVsmMF2cJtpl13f6Ij4LUEWyTX9JyNV4i/CR95BvXpZtbOo0m0n6eLwJcYdq81LTyWlhq+Otr2aUNPVmuZHsaNs5tbs3rUcotPxOjQhtK21azqZsXZyxdfm6uWYKz/cBnyrP6muis7nsYqRLlB80NWhGH83zPObTOYtriwRhwGwyQ1eaIJIGgSIv8HyPMJRrmSRBbZzueYrf/Mwl+v2YfidkeRDz0u6MSmseXe5Tao2vFWWlWe1HoPZ3bk7SwpA1haeoo2pZWeFVxiZKySsMZN/RvGCQuF9bBweH+w/OHurW8WA85W206V5jsn1r2wVRQ8pgfyQLDkhaeJJ6tCRt5yrZzlWJqlmS0u7aTPoNSavV9nUjq5HPW9EpI3mR9CSiZQli1GmaEgohUPl8DpmxYwojk5oMJe1qo2O29iybN2lLTzUEzZAj6SKN5WdRNOK0tThYu7avLTFiCKeNsNWG6v5+qQ6bnvQ9vDCiKsum7g5Ta5aX++rI0IAybgCeR1mUjHfHhFFYe3DaOrP2g8SmQn1D2OI4II58Kq3pRL4I0GrNxb0Za52YqOuhNWyOM9aGcUPNFPQNyaobWlv/ZGotkTeNRNXSXDbqxw/Gr6yDg8PxxXFLed4OHown/WEQszeD6e7+z7Z43xIOm+K0UTFLOqoS4o6QnaRv/mLnTW3WwZQlyDHibkOM4o6RyfCaKJvWLDzxHnaf+dz+/VJbRF/KmMMIilQ6Qm3NmVImAmfU/KtSatPqubUsnuKOkLEgaAi0pxrj8zKXudm0aBA1TgeWaBZpfXyvOyBOYoq8IAgD8kzmXZiflqABVEUj01FVlYmueVRVRRAG6EqTTVM8Y5C+t7WH53lESURv0GE+y2TbIAANed4I1iZJgOc1acZ5WlBVmmyxw4l+xPVJxhfGEx5bSQh2FL5SLEQRWVlxYijG8jZl6R+oMasqXadNPQVFBdPcdIJWVZ0O1VrX5K6sNHHooRDT9TBQrvnAwcHhrqNNsA5Gxd5IeuP11jvidr+QsxvVd73Vmq+7CVvMn91ATNfWVvl+Q85sWjPqNuk/rUXDTHkQ+rIMYLAsZAleu3/c2W9mbomf7eK0DQZRh72tPZaefB8A21e3RM/Mkj9o6s16i1CVLL/9cbae+QIUxoDd90X3LO407gbQzHmy25C95dONrZRvPDZDISl1A4TWDTGz1ylPiZZP1GQsm82YjXcgnZIPVkEp/CiCfI7O52g/pMrnDM49zOjatX3HUkFIVZSolgxHGEckvYTZeCa1Z1FAVVWMdiYEYSBdmsYiysLzFFWlqSptlE1K8ly6RhXw8VfHbE9S1ocJX9mYk4SKTuixFxdspSmrW0I0H1sdoBR0ImkUiIyI7SQtePrSHhuzFKUUp7rSAbrcj8QaCjGDrzRsTxpSrmeaKPBY6IQEfkCl9bFtLnBwcLg3uBHBuhN6aC6ydr90a4ZJQ06OEup0YsuW6TW5qXx/kXu7G9JuY/e1tk62S9KSHs9n9eGH2PjiF5puTGjI2UFvS7ssn0vNWNwS9Q0TIWnjbSFw0BDdNqlM+jDeMfM0HZtKQWcg44LGzUBXBMsnAYlidQc95rO5kKCywAsj/MAX5X6t0ddekvq2vQ1pSghjqcmzllZ2nFb/bLoLUQdvsEI13YNsxuIjb2fn2iZhkuD5HulkSn9pgfHuGM/zamIF4JvoWJ7lJl1Z4YcB3X6X2WSGUoowDoniiCAKWF7p0+kEXLywQxAEKE8RBE1jgFIQBB6ep0wETX6uLHeYzQt832M+z/k73/YkaVmRlRUrScwgCdibC6FaSEKzH0S+x6klcy807M4KPnNxm2uztP56PLE04PRSh4VOSF5WbIyaaHHbHioJJcWKhrPLnfuGoLluTQcHh4OwXZ/2/VHGne7WPLrk7InvbFJ7ta5XuL/g/c2gXYNla5beDOGzRKz92YrC2uWRIUH2mtpolR27XaYrIT952shi+CHh6UfIX30WhqsEw2WKyaiJPtmaMHstoCFnlZXQaBXn+34jCNt2BIgSGaeV3wDpwLRRsO4i0WBAtre7/zw2FekF+J3uPnV9Je2Eclk8rxF/zfNa8kKOI64Cw5Mn2LssenTLjzzKbDxjNhrD1iWxq4KmYcAim4LySJZXmU/nRHFENh4R9Qdkk7E0S/SW5DYkMdl0ihcJAdaVpDvr8VqfTiO9EcURylM1OZuOpqauzCeMQ/zAb2rVgE4nqC9nUWjCUIiaJWxnTw548dVdlpY6/LVvfJRhFDKIw7qGDKAoNUrBUi8iKyqJnoUe3cgnzSu2JznPbY0Y5QVaa071OpwedlgdRMSBT+Ardqdyf8tKU2rRUVMKJnP5DngK1oYx3Vi+M7YZ4ShmPB05c3BwuFUcRd5yfMjZO/98Q4A8v7H6sYrytoi9TZhqkdNWgbmVlrCF8tDs7/l4p99OdeGZhgS9Ubq0LkZXJlVniFZZwOIJiUhVpRAfm6YL4/3jzGZNR6aNFlkfzLZemfJen4iGichebF1qxh91YGEdL+lIlGg+hjDBC0KqPEMFITpPiXp9ITXQCL4CypBFnU6N9EUhdV8mHauipEnzGTsleW+urZUDaav/a90I7PohXuBT7W3KvLcuyXVLJ/uN2oMILxBilE/Gsn/cwwsjSXGmGZ1eh9nWBoOTJxm9/ALh6mnyLKfT65DO0lrnLM/y+r2V1LDvbZ1a3JF57126BEmf4fKQbJ6RdBOCSOrOAOJORBz7rK/36SYBz3x5s46qAQwGEXle1R2dbzu3yLe+b513rywQBV4d45pmJcNOwDQtUaY5QKE4s5zUdWijWcHWOOPqeM40L0mrij/56BqBp+hEPqOZ1P09f3XMsBuyPoxFW81T7M1yNk10LTGpU4081IpKiNz6sFUreMhw5MzB4XihHRW7leU3O8ZRwfEgZ70TOn73/85IPgwlKlJ3B0ZN9Kzt7dgurLeRmrIQQmBTizZt5/mvLdLvLpiCdeN3eTBSZgv2bS1WnZZskb62JpglhvOxkDMrGAuvFWy1dWNGLNY7+wTVfNJ4aHYX9pPGg4StNlEPpVtxPmkIoOc3ET2or4Pn+9LVaJfZVGtV1gTND3yK2fQ1qVj7ixPGIdlkup+IWmP1WjYjN6nZoCaeQSJ2S6QTudZRp5Hq6AzkOEEMnk8YR+SvPsvq+z/MxnPPyz6LpwiikGIywkt6Mt98LucNIqJuRyQwPK+eh1JKdMzSXMilFtunPMuJkog8y8k2r4LWDM+/jaSbUFUV070pfuhLY4A5lo0SSlrSq6Nyvq9IkoAPP3mS5y7vsbs7pywrHntoib/y1edZ6zZkKPA9VgYRV3fnlKV0elYaFnshy73oNdGti1sz5nlFWWm6sc9yP+LCptT35WVFVWnyShP5Hk+eHRL4ql53ZSel0hKpi0zDRFlpwsBjtR8didSnI2cODg4Wt9pUcKN9DgvHhJyd1PFT392k4tq1Xf0lScHZlKStTeovSRQm7jZkyfpRrpyBzYuNCKqNeLXJVztqY+Un2rVd1qqoHVVbPi01XbZGK4yaaN94W/ZJJzBcbQrg456k6KwALEB/WWQ5ikKaAIx8hPIDdCXjDJJkn3AqAAoWVxe59vyLQmbyeWNWHkQw2mr8O5UH81ETiWzXqrUjjlVBvLhMnuZ1d2O332W8udWQYHNflB+gy2J/6rJNNJUnUTetm1QqyD3NZk2KtxbOLfenhj2fqNetRWKLvKDc2xICG0VEcURVVmQ7G3WtWtTpoDyxcbLXqaqa62YjalES1S4AVVlx8vw6WVpw9Utfgqrk1Hvew2h7xGRvwolzJ8jSzExPJEA8TxwIOt2IdC4RrJXVLifWepxZ7jFIAl7ZnPDlF7fxPMXXvucU3/nUSdZNt+Y0LfA9RVpUVFqK+ePAZ23Y6NgVpXRk+p6i0rqW5Li0NYNWp2c3CvA82Bhl2Ayzr1TdUdqPA3pJwHheYGTV9nVzLnblezDshIeW8nTkzMHhwcWbiYa91fMcFo6HQ4AyxfC+35CavQ0jtWAK05OBdPrZGrLda7L8YEQM4Mrz8jOfCxFaPgPXXmzqlMpciNZsJDVbnX6j1QXUav2dgRCJMKJ79mGmO3sQTiCNJMJXlTLebGqI26TpapyZyFm4J+dM+vKqShlHZ9g0A1Sl1H3tbOH1hlSTCUVVQjalqsomaldkXLv6KvRXZG5BVEeskqUVsu6AarTdRNBsVNASJUuE5uO6i1J5Cel0jh82gq3TsZA9SQNKjZ0fRXXBv6QxD1gv5en+6KL9OdtrrpXpHBXCJyS8TqvmKShFtrdLZiOCext4C6tUO9eotmeEb38Xkz1Jhw5WFuU9MFweMtmdNITKzAOQejPjlel5Xt0okKUFfuCz/sQTzMYzJnsTPN+jO+iivCYVWlbSmVmUBXmW112d2Txj4/qE0Sjj1GKXH/rqh/jhn/8C43FGOkv5xX8/Y7ET8B++Q2rqBp2AQRJSVBVbo4zMRMW+eDFFKTi1kLDYC7m6m7I3yxmnBRuzlKwSU3WlFF2TqvVQPLzU45H1HnlZcXl7XnePAsyykrSQ+Qe+YrUXsz3NpEYNGKdCLvNS0438ukbNwcHB4U7gXhAze56jGHC6HRxJcuYlHbwTD0lNU5ELyTnYpWjrs2xq09oXHezstEX0NhU43pIXwPJpVp94krIsyeYZRb6M1lrSW9msKagPQom+WSeAomB64UU5l605AwgT8Xo0wqjEPdOB2fKQzKYyljARAjMfNYKq+by2YCpySZ9Wo22ZZ2A0x9q6YtORFPHblKPWdXpw/tIzTURRKcBvIlhRp5HrgH26Y7qS69n+ZdKVBq1RtojeLi+LhpSVhd3YRDMLKFr3oE5xeo3mGjQpUZNSrjtziqzpYFWepGCTvqzvLUEQkU5TqvEOJANGW3viEqBgPp0zm8zqIv66zkxTi8uWiEF6kRXESYzyFNk8YzaZ4fleraPmeR7zyVzuB9TOAiCkb7I3wQ/8OkoXBIoPnOvz7LURGzuzOjqXpRm/8+UNvu2JE7Kd55EVFUnosTqMubIzZ5CEZHnFbpZzfS8lMUSpKCsCX9GLAi6NZuzlOVpr5ubYS0nEtXFKFHicXekwS0tmeUk/CdibFqCElCnEreD6KCUOPcpS/pv1rWZwUREF5rvi4ODg4HBoeMO0plIqAX4LiBEy93Na67+plPqvgf8QyIDnge/VWu/cYP+XgBFQAsWthP287gkdP/4d+xfeigvA8mkhBoYseYGQuaqqaikHpVSdilOeRxiFdAddvv0j7+Q/ftc6o6zgv/jZz3Pt0jbjXYl26bIgiOO6a8/WI4VRyMalDbEMAiFant/Ulw3XUWYMS+vSSbh18cr+jktrOF5kJtIWEq2fIdvZEhK1e7UhgfOJpG27C7LvbK8xNa9TjoY6TXeb7lYbNesuwGhjfxrRXlsLu04pvDCsC+GrStKZYRyJV6VV0S8O1r81HbbKD8RCqUgbiymQ8RZpEzG0NYV+KJ/tdUknDXE0NWj2GnlxR9KdZUlZlPiBXyv618X/Ju1XR82UqsdtO0zjJK7TnOOdMUVecOqhda68KtZQ7S5NewwLe/72dsurA3q9iK2tGUUhY4uTiOlY6sO+6U88CsAPffXbGHQCQt+jrDTbk4zAdLqmRcUozzm30CUMPE4sxFSVpDR3phmXRrPakxMg9DwGUUgv8jm91GGlL/fz2csjylKTRD6dyGealvieop/4kgJFUqOhaWgIfY/QV/STgE50bwna3UprHsbzy6U1HRxuH7dTb3azY9xL3POaMyVXqKe1HiulQuC3gR8GhsBvaK0LpdSPAWitf+QG+78EfEhrvXGrg/K66zp+13fV6U3/9KN199zM/JGzdUXkad1BWBUlcTfZd3O11mTzjCiO5A/5fEY8GBiFeCn87w56PP7UGd710DJZWfHMS1tceHmLdC5F7rrSzLY2hCAUaZP+HK42NVWm+9JLOsRJzHw6Z2Flgf/9d7yXL1+d1LU8Tz+/yYWXN/jwhx/mpVd3eP7zLxB1uxRFge+Ll2N/oS9/pGepdCp6Psmgz3xrQ2rZ/NYfzs5QIlLdRalbaxfnW7Py8VbTBVor9ftN1Ksd2TORyKjXJ5vJtbadniiFF4R19EhXui6ur/b5a7b012wzhm06iLoSVbNWUJZ4Bvs7B1WUoC3BDBPTmVsIsatKglicAqIkIpvJfIMoFAkMQ86KTMhgTbBU8wuvtabIChbXFsnm4gZgt7fCs51eR7pF04aAVlXVRMlMdC1KpP6tyCVKhaZuErBksCxKBgsdfFOov7CQ8CPf8g6eOrVAHHhMs5LxvCAvKioNvdgnLSr2zLnPLHQYdkI8D3anBZvjlN3UOiNIof8wDinKiofWunXK9MpOyjwv6RnbJ+seEAUel7Zn+EoRG9/Q0FecXEwkEH2Pi8/uIjm7588vR84cHA4XDwI5e8O0ppZZ2lbD0Ly01vpXW5v9PvBn79SgiBLUQ+8mSiLSnS3K66+yPeqLJEScUBUl3W6PuBvjeR6z8YzpS88yeOxd5FneyCK88pKQl9ke2V4plkaTbdK1h6R5wHhYTrdCPn3xRT6d9OWPfzoh6C/QG0qRuZhj9yUKNB8LaewOmghYd0GWpxOqImWWJlDmFHmPZ6+MKSvNH3z6koxpa48iL/i933mO6UhqpLKJGJpb6YtRkdeSEd3lJfzAJ52lQlIWTzTp1Y4Zbz5vOlunOxJd8wIhOFUF/WW5bllmuhpb3p2Airs1kdWVRN+y6bTuUK1K62vpURW5kDUjoaGzHD+OJa4ATeTOpi61xu/2pZDfNmKAMApLzEwXbtxNSHck5SwpU0PMbNrWpkmBIhVSXJUBniFjNkIG+//rsg4Dvu/X5MoPpANztD0yw9H7fDWtW0AxK15rUaJgcWXIw29bYrEX8ZkvXmMymhFGIZ1uyMzoj1VVhS51fb7pJKujeWla8n//xWf4oW9+lIeHPZb7EbOsrKUwikoz6AScWkx4ZXMqTgKh+HSeXpJ6tL2ZnCcvNJO0oKwkSnZtN2V3WqAUXNydcnU6Z5yVfNNjJ1jpR2yNc7KiYnOa8cpoynvWJBL7jpMDk9r04N5ys7uGQ3l+OTg4HCruF+Ha18Mt1ZwppXzgk8BjwD/WWv/BgU2+D/iXN9ldA79q/pv877XWP/6G5/N8BksDirygu7LGvDsQYqErqnTOQ+96hJc/9wzTyS4kXSEoumL09B/C6jmqhSVz5koK/7tDiHtEa2fIvvIpmJqi9PlI/vj3FoTwzCeybXeRIi9qArK3tSfpuyBqiviLrEnTzfb2FdUD4AWMr1ziX//czv4OTxNJytoF+UUmkarpVD5XJWEckk6mKK/LfDrn0Xee48qFLbI0I7Vdj7aWzmqvWbJobKA830MFPp4fU5WV1IqFCWGnw/nHTvH1HzoHwPNX93jlwi7Xr+ySzTPSedqo+/se1dx0qfoenUGf2Xhapy69MKLMi31zVEGI53uUaYoXd0RLrL8k6v5tw3Lr+akrPN8nnUzrrkullGi0mQ5S22mrogRl0q1VVck4rQCuL9ZMVVnt89lUShGEovRfVSJCO5/OiZKoSc9qXZMpAFVInVp30KUsSuaTubmtHkk3YXW1y3iS8ZlPvUKe5nT6HcqyZLRb0OnFFEWFLc6z42o3JsyLkrQbspcWPLc7Jhp7xJ7HQhGiUCwkIYHn8fLGlMVuiO9JtEtrSPOK0azg+q5EDLOqYrkX0Y0CJmlBVlSks5y8rCgqja8Uga/49y9e46Fhj4U4JCsrlpKIpSSiMGP60qU9njwjaWXbKP0g4F4/vxwcHA4f9zMxg1skZ1rrEnifUmoR+Hml1FNa6y8AKKV+FIlp/POb7P7HtNaXlFLrwK8ppZ7RWv/WwY2UUt8PfD8AnWX2Ll6QvxDZTCI9LdX9l3/7kshWTHekIH7rUqPnVWRkl1+SbTPTyVkUML1MtnlBSESUSGoymwnBstIZni/yE/MJav1tjHdMzZltIPBDvN6QtdNrXH3litRvxd1GiyxMpNarMB2lWjd1aHb8dcF82dRQKSXRM9u0oJSk0qqSPJXi7+e/9KoQVNsUAIaUaomQZXM5p+0WLTLKqodvxGiLudR+qaTP0voS3/61b+MvGXK2Oc7427/+ZbY2xkJqPE/IDwFVao6rpA5tdvWi3I8gFq20dIaXdGofdFuUr7U2DRsSeSzmIkKr/MB0YlrLqACqkiqb4yeNHltZlNAZyjkKkfXQnUGdLizmc7wwQmvNYFHS1GfftsrLz13dl16U69kc09aneb5Xy21UWuoHrb2UUo1bQJ7mBFFA0pOu4fl0zmR3wrN7E6qykmOYbs1OX8Zfe22al43c7SN/SgzMf+PZLf7Lb3wHu7OcpZ6Qzo1JxjQrWR8qZkVJnHtMd0qysqIXB4S+YqkXyvbAha0Zz2+NiT2fXhiwOohQKMbzgqVexHyzZJyXrHRiLo1nXJnOGYYhke+x2o0pK1ObpzXPXBoRBR7vODV4YAjaPX9+OTg4HDru987NN61zppT6m8BEa/33lFLfA/wA8A1a6+kt7Pu3gLHW+u+93nZe/5SO3/09rQWmmHy4CqNNISDDVZHPsKkyW/w+XG2KyveuiQF33Gtqn5RqujptuiwIGxLn+40oqiVBnaFIeYRGALfIYbjK8rkzbF/bRm9cgCCQqFo2a4RygX1q/3IRmq5TP2w+W2X9WkDXaLT5QTNWW9tmo3NmjF7Sq9N1VTprtMbsNiZCp5TISMRJTHfY5czZRQA2N2dsXN4kz3KqsqLT6/BXvvODFFrzP/7cZ8jmGWVZ1sStyHLI53idXmPRZP6KW/KkK001nxD0BkRJxHRnT8Rns7y+7gd/eaI4oiiE5fm+dG7a89pt7XKgEZA1mmydXkcIkIlQNe4F1KnhIArkOpmIW5GJhEZVVbXNUxAG+9wDiryouzUBesMeZW46JdcX2b6+QxAGLK4MGe9N8XyPwbDDfF7IdTANKfa9fC00QRhw4kSfsqwIAo+PvP80q72Aty/1OTUQp4BXdqYUptFhL8/pBj6neh0jWivL80IzzUVqowLyqiLxfWZFwVon4fSwQz+RqNrvX9xkJYnYnGfEnscwCnl8XYR/r+zOUYg22vsfWpRbqrknIrX3SufsXjy/XM2Zg8PRwb0iaIfRELAG5FrrHaVUB/hV4MeQ/zb/G+BPaq2v32TfHuBprUfm/a8B/5XW+t++3jm93gkdP/UXGzX+uCvG2FZENps1dVc2AhN1YPW8FMXbdGE+b44RxrB7XUiElYCIEomu5alITtgOxjBuUoUg5xquilZZ1yjY2+NaCynrPDA3z3hdCekLYxlvfVG8hvzZFKlNTZq0aE2ywljIQhCQ7W6ZeXbrFGLQ6VLMpgSdbk0iqtxIj8S9ZmxG18wWzIOQn7YkRJ0iLAv8OCZOTIG+Et2w9z91kkla8PnPXZQ0b0tU0IrjApRpStTrks2zJjpoCKcXJVSzkbgFVAVEXXEAMJZLALOJXKvF1UXSWSrCs0VZR+AsqbKG5J7nkaUZutK14n8YhxItbMlfgBTwz6fzRt8szep6Nc8TUlaVFcsnltm6tiVzAEgnxIvLACysLDCfzmuypTyJcnYHXQrjg2lJMECcRJRFVZPGNsIoxPMUcewLR/c93vf4Gt/3wbOkZcXWPCX0PJaSiF4YcH2a1inJUZ7jW0KsFAtRyE6ac6qf0E8CZnlJVlS8tDvhnWtDro4kLfvCrtQ5hka77fGlAZMW8Wz7b777jNSiBb4iCe9u9+ZdbAi4588vR84cHI4W7gVBOwwR2lPAT5m6DQ/4Wa31LyqlnkPa03/N/JH+fa31DyilTgM/obX+KHACSSPYc/2LN3qwCVRDYpQSkjPZFSdnm6q0QqpWlFVXkkL0gyY9WBZCvDzbrafq4nPKXI5p97cm5DZ6ZRoDAFhYM8QpaNwA6oL3an+nI0iErbcEmxea8caGMNronSV/pdEbC2Jq1wLPRKKyGZXyyIy0RWflBLPtLVTcBaTQnUpSdUWWS0rRSmsor6mBm2zjLayLlIipsfIDv/5DXBalRHRMtE9rLc0KRUZncZEiK4gCD88LWVzuM9md1GSuKg259GV+QZKQzVIhXamGIiMeDPADn3MPr/Pis5fItq/XLgj5fE4Qx2RphlKKpCvpQytjYtOB1oLJdkBWZYWnvHodGuKOdMnW0im2g7QENDVZK9ImraorsV+K4saa6tqFa6ycWsHaM/X6ES8+ewGQ+sP+Qp90nnLq7Ap5XnL98rYhezmDpUGd6kxnKZ6nKE2a13a4AqydGLK3l1JVmjQtiSIPqPj9z17mpatj/vIfP89iHDItSq5N58zLioVIiNlKN6KcaBLf+oXKNNd7sfhohnKtfFVyrt/l1GLChZ0Zm/MUraEb+qx3YzbnGZfGs9rSaTWJ8X1FVlT4SnFxe8awExLeA3J2F3EIzy8HBweHt4Yjat90Qsfv//7GH7LTF2cAEMIRd6R4X3lC2CxZm4/3a3ZVpYl2DYUkVWVjsZTOmhRidyikbj6B3mJLlLUupGpqyFqRKCbbxjdz2qRDbVrTRsfG25D0mjH5huBFHbprJ5lumTTtbG+/MXhZ1Zpect5CSKZSjYq+IVReGDWEJC9ELNZ0FVZ5Xs/B8z2STsJsMqsJDrB/nrZeDol0KU+K6bv9bp3my7Oc0fVNVBijlKrtkUAiUJac2CiSUqrRmNManaeoMK51wnzf36e2D0260R7HwtZwWdmRWussL+j0u+RZ3uiemf2qsqpJaX3d5A1hImQwjMK6Nq0qKxbXpCnEpmitmOxoZ0SURBRZwcnz6ygFG1e2iZKI2XjGw+84JVw78LhyeZciK6RezZDDdlrTSn4EYcD584tMJhmjUUa/H/Ghd67z0cdXSMuKh4c9ttOMjVlK4ks356PLfdJcjhX6HkrBNC2ptFg+lZUmCX1e3p4wL0vettDjy1sjdtKc84MuRaXJq0r+TzATjwOPnvUQVYrA91juR3gKFrohSejftRo0Z9/k4OBwt3E3+c5hRM7uPbQ2rgBWlysXshSblF46k2iaJVSeBj0VyyUr1AqNQr8fim3RbA+8JSFDfiEkpL8k68pCiJmtFWv7PIaJFKZb7875uCWjsbivW1L1FuULMNsjXFgh39uQ7tDQdnEaolYWDTGzETpTN1dlZX1eoPGwNFG+uk3YROGUpyBNKRF/TR0mUgtflagglE7TqqTKZswqjc7m6FaThQpMujObNZFET4zRPXzS6bwmT1UptW1ht1en6nrDHktriwCMdsZM9ia1HyaYtuYAqTfTFV6ckHQTpjt7JIN+nRa10TGgFvy1ETq7vGz5oSpPURQFnV6H2WRWF/zrsqA4UMv2yBNneOHZi6Jl5jXnUp4i7sSkU6lHm0/nxElce3DOJ3M83yOMpU6wv9AXmY2y4vLLV0m6CUtri0xGU4Iw4EufebEW+vWHy8SduK4v2/8dhzIvawmPNC3Y3TWRtrLi01++zpde2eHrnlzn0ihlqRPQM8dIy4pPXd5mEIXm10VzbtglCjw2pilb84xhFHJt0jhlfPrqNucHPfaygjPDDl/ZGqOAE92k7lVJy4pRVhAHHr5S5JXm2t6cfhLUqc0HpUnAwcHh+OF+ktg4mpGz/ikdv+d7G7ufqCP1YbaA31o0GR2tfWr3basm5Zk0p0lv2hqozkD2H6wKIWlbNYVRo5I/3ZNl/aUmimVFXYOoqV+zjQA2cmbkIJjtNec3rgV+t0+5cbHxwbRRPzt2P6Q2DLd1bfavYZig/KCuobJyEkoJwZiPRVE/jEIeeeIMz33xVU49dJKLL1xqIlyeR5XN95M8+x2w19N0UCo/qKNfQRiQpyaqVpV4QUgYh1KUH0e8673nATi12uN3fu9FpqNpXYNla8Gsp2UYh/sU/auyYj4TIhGYyE1RFFSlRAMtebOF/nFHBGjDKKS/2Oed7zzBl750lZ3rO3UTga1JAxERDsKAoijwPI/+Ql/8QqFOiY62dugM+gyWBkz2JkyuXWX5ofN43v7IXZZmxImkYZNuQlmIDVQUB+SZRAzD0BOz8/ef4eXrY778lQ3SWbqvDq4dWfQ8kedoC9jGsY/nKapK88EnT/CtT63TDXzWOjEv7k2YFSWnTZ1e6Hl8fmOXvXnJ2YWYzWlO7HucGSREvkcn8NnLclaTmHFe0A8Dntsd4yvFIAroG9IXeT6TXAzZA08RKI8k8Ah8j17iM+yEtUn6nYaLnDk4ONxt3E+Rs6NJznondfzH/hMhR4PlmoB1VtaYvfKcpDlt92KeCaGajaRo39ohgZCkbNbIV+RzSXMq1RT92xRmlqJWz6JHmw3pSk1xvxeInpr1v4w6QvaM2Kut66q9ILNZS9Zi1tgQgXR+Trabrsv5FCJTfJ+lMt90IsbuRSpkzSrtWwkOS9aUJxG9smzGjETClFJEiZiTW1ISJZEUrmcFnX6Hq69cra95lc1ZPLnO3taeNCMEEYn5459nuXQaGlInqU+vPmeysFBHyfL53Jiwx3XUzosi0OwjSDZyFSUR490xutKcOHeiNi8fXbsmzRHGkcAzvp42BRqZRgKbag2CoCaqdWenSRsurAzZurpdp3ptwb7neUz2JkRxRNyNOX12iUsXtpmNZyyuLdZkKptnjeuASXWm87SujwP2pSit2K2tMbM1fTa1K7fOpI6N20B3INHeqqyI4sDUqEmnZLcbsrzc4S/80TMEnuJcv8tCErJjGhaWOzHjtODjl7e5PinIS00SKL7h4RW6gY/vK9Ki4tJkRlZWTPOSQRyQFiXvP7lEaUhyNwroxj5b44wk9MnLislcvlP9JODh9R53yz3AkTMHB4d7gbvFeY4HOeuf1vFX/7CQgKXTknba3RHpDJuytMXzZSn1XjZ6przGvggk4gamocA3KU2/aRSIYiMoa/a1tWNFJgQOZL88FTKycxVWzjbSHDaaNtne3xkKjWTGaAv6i/I+ne5Pmc7GsHTS1Kdt1fvHy2sopZhvXhOiBvuJGbymA9PWkHm+R3fQZT6Z12lBP/DrOiwx8251kAKUOV6c1L6TtuOxqqTT0JKfMArJ0oy1M2tUZcXmlU2UUgwWZYyzyawmc7V5uJHXsFEmG9laPrmMrjTXL14njMN6nHYOlsx0+h1G26M6Pej7Plma1VEt5SmCIGC4MmRvc6/xUW1JQOhK1zVlaOrUZH29+l0Gw5j5vGA2Tdm4eJ3B0pC4G1MWZU0a4ySuDdHDWJwS4iSuyaCdp5XpsDV09lx1t6zZ1i7v9Du1zlqchMxnGXESEYYenU7IbJazstLl//mtT3F2ucOl7TlZyxFhkIhP5/Y04xe/cp1RWvLEesJSEtbRsRP9hOe3xzy/PaUf+aRlxUonZK0jvyODKGAvy8nKCq3h4aUeo3mBQgjt+VWR5AjNnO4kHDlzcHC4V7gbvOd4kLPhWR0/+m1Cgqw1EjSEzKYnbX1ZOhUSNt2D1XMSRYNGIHY+EcKUTiWlCVKob7swdSXb2aha0pMoVmFInk33lTndd/4Rptcum+jZvJHysMeuSum8LHM5VtwT83JLxrQ2kaVIiJ61X1o9L+KxNhVriV+Y0B32mG5t79c3M9cj7EoKtSzKOoJWpzmNbEQQBjVZaBfkW+IQhAFFXogn6GxOFEf1um5fyPAjj62SZSWLw5jnX9xGa5iMpoy2R1JXZaIvNj1pI0JgjOdNAb8lap7n0el3OHlmiee++CpAHRUD6bysdcpoIlIAZVnWaU0rBNtb6DVaZFq2sWOwx2nrqlkpkaqs6PQ7dZoxm2dorWvtNN/3a49VOw4r22Hr3fa5FHgeeZqjPEU2zwgNebb3wNaezSfzui7P8736ugCEUYDnKfKsJIwMiau0NC4HHt/1DY/wPR84z9hEtfZmOSuDqO663JpkXBnNuTKdc3WUMc4qnlzvcqrX4Ss7Y7qhz6W9lNBX5KXm1EC+V7Oioqw0gzig40vx/7lhl1lWstAJWepHdCOfODC+oXcwgObImYODw73GneQ/x4Oc9U/p+InvhPNPwcarYq9UFg3Byo1Svo2K2ahXFDditCCkJ8+amrEgEtLVX4SrL4pPpRVsLTJpKAgj/OWTlJeeb6JUZSHbZjMRwe0OpUYtSoRczYwtUdxt5DRslEt5cuzda2ZMKSyfbshdMoDxpqzrDGWfPG2MypWS5TaVaOcFTYrRyFLUXZdBhDLEpG4kKDKIOkTdTm0lZAlVm7wBdRG753s10cnmWZ1WtGTDRrrKoqwV9Cd7E/zAF40wI09iU40oqLIMLxTyF0Yhs/EU5Xmcf/sZzpwZ8vlPC1F74qkzfOHTL9ffiSCUVF+WCuHJs7wWpLURrKqUyF46S/cRMdtYYCNVfuhTZEU9pjAK627L6XjKwvJCTfTq85oUYlmWIrthdNdsetRem7IsGe+M6Q17da2cjThaEV2Qmro8lSaLtuitHVMQ+FSVxvfFScCmOeUYHouLCX/qfacA+NCZAQtRSF5VzArpzATp4rw+SfGVotSa9V7MxjTFVx7bacb1aUrair51Q5+dWcHJfsSjC3025im9MGAxiUiLkqLSrA9j1gYxUeDd0RSnI2cODg6HhTvBg44HOVs4p+MPfD/B+nmK6USIVToTxf8zT8DFZySqNt5uxFyVJzpkgFo8CYDeuijkbLgq0be4C9ORyG/kmalda3wbme7J+9lIyFNbZT/uNCQwn0t0zTcdePOJdI/mWa1PVstuDJahv4LfkQhUuXGxaT6ofSNDIYaLJyR6Zj0lgfjUQxLN2b0G/WU5d/ue2eictaGy9Wl2/GVRy4D0lxcJ45DR9qiOYgFURcnS+jJJL2E+mbO3vVd/WW2UKwgD8dwsRNvNNgtYcmZTycMTa5x9aJUvfebFut4sTiSKp6sKZerNagKHiYoFPvPJTLTaMEbkcUgQBPQX++RZLubvB6Ji0LgS1NIgprDepkit3llVVnURf5EXxB1JWZal2GSFUVinfm0ThB/47G3v1aK8VjYkT3P8QJovbOTLdl/mWV6fx3ah2jlZclZVFeksrW2i0BBGPnleEoY+490pJ04vMjPm5p6nKIqKfj9iMsmJY5/BQMb0Ne9c58kTHbZmBfNcE5hL0499+pGPp0TRLvQ9Yl86Mdc6CTtpxst70/p/kLzUbM8KIt/jlInEPbc5oxt5fPXpZQJfcXk841S/wyPrvTtK0Bw5c3BwOCw4cnaL8AZndPyBvyIkI+5IurG3IIQlnUnUrL/USGVcfAbWH5a6r6TfRJYmu0JM/FAIUFkK+fFDiSQNV4WIad24BVSlEK+ypDaMBCE5tgmhzCXdWpUSyTPSE/hBQ7Rs6tJG9Ox11pUhc7HUt1kRV13JeHauSnq0LPc3PlgLKHsuMONYlHFkppbN1qeZrkqpl5s3orRVycq506yfHPLCs5cAyOYZURLVNU+WjK2dXmG0O2G0PaIsSqIkIt3bY7C+yuLKkIsvXDbnalqUrexF2+zbEh57bKDu3LREq8iLffZNQSC1aVajzPf9muiURVmnNG2Ez3Z/Wt20qqqIEknXJd2E3Y1dyrIUCY/RlIXVBcq8ZDqe1vpqURzV6cj5dF5H5pTXKP7XdXhlVdfJWSKmPCUROU/VXaDWDqosS/H6bNW92eaCKIno9iKUgvm8JAg81ta6pGlJUVSkaUGalnieqq2UtNZEkXwP1tZ6rC4k9OKADz80ZKUTUgEdX7o0h1HIXpazksRspxml1gRKOjKViaoBJGb7otJM85Ju6LM7L+hHjb7Z+UGXwFO88+SQhW7oyNkN4MiZg8P9BUfObhHe8IyO3/uXhOjY4nwrEHv9ZZHACEKJQMWdRvrCpi5tIX6RSTTMfo47QnIswfL8ps7MugLYmjY/aGrdLMmxnaA2KmVJVNyRqNb2JRlTdyhdmImpeUtnjRBtd0F0sNpp0fm40XJLp3DyUdkGav00Ni9ItLBtB2XHayN49l5a8hZ1aqJUpimD1SXpNJyldfQIRAfMymxYn8l2Ub8MQ8zAx1s7Qo69oHFHsHImIMtsBM8I6ibdhCIrKAqpE7Melva7Z83FrU5Ze0xVWRGEQR3lslZTMl0he1Ul8hropguyHUmz3Z7z6ZzesIfWmsnepCaF3UGX+XTeEMyqYv3MGtcuXq+PaUml1tJ9GcZhvX+n1xGbKUM0rUab3AqvjhLa9Kd8NcWcXVeaKInqFLIyBEwakSU61z631pog8FlYiOvfl+EwIQ49okBIVD8JObGQ4HtCnBYTn/OLMecHPa7PUi6MZvhK0Yt8AqVqf/hKa4ZGOy0tS2ZFyeevzIh9xUovoNKQhIonlgesdCPOr3TpRmJ0/1YJmiNnDg4Oh423woeOhwit8hryFXUkohV3hWjFPZNiLERCQ3nQXWD19CobF68TtYrT852NhrzNJ01DgYnOoPT+ZgPlCcFbewgmO814ok4tCEsQCYHqLQpJ3L68v/bLpiw9UwNm68YyE83b25AoYEsElt4SXtyh2tswEbwWAbT1Ykun5DjWoB2gY2rlbANBmDRE1NSuaaUoK1k22h61BGwrIpOqsynOoijI0kxSbWFQR4GqsqIqKmbFrGme8PW+Mdp0ZJXlEhWsSnxTPL+wssDu5m5d9+UFXm00rjxVkxTP81Dh/j/yymvMz2VaqiZkvi/pUUsywzgkm2f0F/tk82xfI4BNPU72JjWpU56iv9hHV1J/11/qS/o112xd296ncWZTo2VR1i4I2tONrpqNjkGTLjbyGbZOT2tdW2bV0UbFPokNXWp0JdG6TlfslOZz8ReNk5DZNGVpqUNZapaXpcnk5GKH7Ukm5YmRpJu3JhndOKAoK/bmBVuzgsT3ecfqgI1ZyryoyMqKIGhsmXyl2MtyTnQTKq0JI49ziyWbk4JO6OEpmBea53fGnFlYY3eWCznTJijoxGkdHBzuY7RrlQ8bR5OctW2XxtsNyQGRnbAF/GEi5OrK82xcfAbChMzaO4FErMJIyMtgWeqi8lmj1p/NJZJli/A7fUkt7m00xuEgETJLjPyhfM7mTSG/NWPvLjTislYHzFo52WP5LY/CwWpNdqo9U1enK0lVphMxau8tyHKliE6eJ9veaMZflY2QbVuYN4iEwNloom800soCbcVt/YDFcycAIWez8axOs7WL3W3Rf56KphhaNxG7uYk6Rt0mXWftq8KkTv1tXtmsa8BsNMsW1tcuAp6qiUwbloxl86yuzbIoy7ImfGVeUuYlfuizt7WHUorh8hCAx9++wjc9ucY/+/UX2Li2R5EVpPMUVSnmkznKU1JvN53XXZq60nXaNOkmNQGMOzGdXof5dE6RSdTNmp8rpVhcXWA6njXdlwF1A4WN/AE1wbT2WPY+2AhmGIXsbY/rlGtVVRRFxbd/4+P87hcu0+/HLJuaszDwKMqKp84t8NyVMWlRMuxEaK2ZZSWnFjuUFfzCF6/zvrNzTvUjHltMmJlr//R1+QelrDRr/RCt4dGlPuO0IPZ9ljspL22n9CKPXuQxjAP2ZjkLhFwbpawNYoSh3dkOTgcHB4d7jaNC0I5mWrN/Ssfv/T4hEbbr0ZKOMBESZbsXO0OY7kAQ0T15humFF/dLTlgLKNuVWZVCJsabYk5e5kKCbFOAIS6i3G+iZfMJDFaMqOy06Qi1QrOjjSadGkSG3HWElNnGABuJixKTVi0lumbdBOz64aroohlTdf/M2ymNwbkXRVSj7ca5AITAhklDEMPYkCVVXyMvkQ7N/kKfLM3IrrwCw7WmNs9G3bQm7PUpy7ImRVZvrO7w1Lou/g+6vbom68zbhOgtL3f49B88J+4FpUTUqqra55sJ1P6XnufVdWW1ATtSc7a0vsR0NBUvUFv7ZXxD6xouA2Xqp2xnZpEXtQxI3IlZXeuxcX2yrxni7MPrVJVmMs6Yjqasnlzk6oXNOgIWhAGe5/FXv+uDvGNVjvUP/90LvPTipoj72oijkSFZXO4ymxVULS/OPMvrZgKrzSYD3u8fWpVVvb52ZMhyOj2R+XjHY8vEoc9XXtxiMIjRGkYjuQ9h6NPthoShz/pShywvCU1XwHgudkxpUdUaZb6npDE58Hj8RJe1nkRWr09ydmYlndDj8dWO8G7f57GlPi/vTnj6mmi9dSOP964PWUwiurHPeF7w+KkBvnf75MylNR0cHI4CbpcT3fOaM6VUAvwWECORtp/TWv9NpdQy8C+BtwEvAX9Oa719g/0/Avx3gA/8hNb6777RoLz+KR2/88+bQv1Ok3K00au4K4X/Nhpli+bTaaNRBiaCpZqaqN5C44NZZPKyhfzKk2hdm3xp0/0XJnLcnatyDEvEbH2arhqjc9vtmfQl6ucbG6iuRHGotEh5FJmMy+i4RUtrZLOZNDXYe2JtqMKkScn2lhqpEOt+EHUI+gsopUShv8jwOj2q3Q1Z31+R7ds6cX5Id0HGZC2Lxtu7DFYWGW3uoPyATq8jXZTTuUSpiiZ9qbUWmQ7jZrB2dh2A3Y1dsovPN2K+vSUWVxdRSjGbSESpyArRKYvDfQbm0KQPbc3bPokJ2KcVZn0+bS0bUDcDWMFb8x2kKIpas2ywOCCdpfy//5OvIy8r/t4vPMvlVzcJQvHWDKOQdJ7WTQn9hf5rxGNtA0M6SykKGX+cxLXtlD2vUqqu47PpdhByasddlVVdc2c7UsM4rNOx3X6HLM0Jo4Cqkm5QpSTtCZBlBXEcEMcBCwsJg15Illd044DxPMf3FGHgkYQ+C92INC/xfY9+EjDPSr740hYA731slfNLMRd2MiZpgacg8GS75W6A78FDiwlfujYl9BVPrvcIPEl3nugmPHV2Ab+u+Xuj3/L9uFvk7DCeX46cOTjc37gdgnYY5EwBPa31WCkVAr8N/DDwvwG2tNZ/Vyn114ElrfWPHNjXB74MfBNwAfhD4M9rrb/4euf0+qd1/NR3y4fegkhUBLaov2WjFESNK0BV4g1XqTYv1D6WVKWkCMu8IXC2uN8SrDJv0nPZzHRpmpclR4MVIUVFapwFjH+nsWLylk5R7VyVqFWR4S2uU80b4jRcHjLaFmHcpz74CE9/+kWqyR79EyepyorZZIbeviz1a3FPomeWgCV9IVpZJsebbDfRNl1JfZcVy00GMB81yyyhLYzmWBBBf1kIT1nghXJNqyxr5tTSTVN+gK4qPN+XyJbdLk+lRq7I60aAWvC1LAmikPf/0cdI04KvfPGi1HGZrs3B4oCkl5DNM8Y7Y8I4ZGbSgFpriRICyvPQVQVljgrj2rw9MKK7tfCrjdAFPlUq3wkrT9E2Xk9nKVES1SK3NnVoYRsNbCOBrSGz3afW+LyO9hkC2Ol16k5N2zFae5gekPawxBOoXQ7CKGRpdcDXfegsHzrX5x/8wrNcvbjNn/qTb+fVqyOe//JVSaV2Y/K8NKQwxG9FIa38RhR5+L5HEHgkiRDTXjciDjy+6tFlNqcFV3ZmzPOSh1Z7PHmyywdPLvHf/PaLALx6fcy7H1qmG3k8c2mPXhwwzyWKenqpy7XdGWvDhD/+8AJbs4yTvYTdLOfdawviKLAm8hogQeE3I1R7F8nZPX9+OXLm4PBg4M2QtHveEKBldKZqntC8NPCtwNeZ5T8FfAz4kQO7fxh4Tmv9AoBS6mfMfq/7cAMTiVo5C1eeM0XuRgojT4VEJH2TRoxrYlEVuZAo280Ios5vC+atmGsQScSnbSy+tyFF/tYxoG2mXpWiseY3f8yJOnQWFpiHMdV0r4m+AdXEdIjuXoPOgL2dKzJ24PO/9Lyct7fA+NKrUBb0zz1M1X+E6WAVsimD02cYvfSczHG2R7V7rZHoCIKGNHq+kLU8lWullKREo0T2NabqKumj85Te8lJNHuajXEgZ4EURSSchnadonQjJ8SP8wCeKO0y3t8EPOPXIWTYvb1IZ/a/CUzWZaqv5F1nOH/7Gp+uuzWR5FetHmaUZ490xxXgXvIDMNsR6PiqQ7k6AKhfT+6jX5x1PnSMMPV59ZZvJ7oTZZNaQbJP6rrKCzvJqnR5FN4RxNpmRdBP8wCfd3eF9f/w9vPjcNd7/gXNsbs8IQ5/PfeKFpmhfKfIsr4V2bdoRRLC2yIu6w9TqnimlpOxK69qJwRJIK07r+z6nzkkUs9MJGI1S3vX2VT7yrlXSouL/9b8+x97unFPnVvi9T7yKbzpdtdZkWUG3GzJDNM+yrCAM5Vr1+xFVJSK1uYmK5XnFkw8vszPJ2B6nfPnahEES8up1aYjYmWRUGs70OnzvB88A8BMff5W1fkA39MjW+3zzoyv87oUdPvvKLm9fkyjd1d0Z/+qzc/7yh89xdqHDv3/5Op+8sk0v9IlDj/Mrkv71lELTaoA4JBzO88vBwcHhreGWas7Mf5CfBB4D/rHW+keUUjta68XWNtta66UD+/1Z4CNa679sPn838Ee11j/4eufzuus6fs/3ipaZriQtGHVFL8wSqu6CUfU33YyWsClP0okghfOTXYloKa9JLQIEEX63T5kaNf7xljmP0TsLoyYCVxZyPqt1lk4a2yWL8bZE4NrG4INVIVNF0aRIk15D+iY7psPTEMbpblMH54cSNdwzkho2JdsZiiOBOWdw+lEhOiYq6A+Xxd3Adnemk8YKypK6LJVraTtQ/RDC2JCxiDAO2btyFcIEZWqgqmyOFydUswlEnX31Y6oVHhFipBuh2jytSWub8C6eWCXuxJw8NeDVl7coCxGCnY4m5vaEFHPT4FAVjZguQNSlt7TAV331o3zgbYs8fXGP3/zNZ5nt7MBsj+7ph5iOp3I9Aa+/VBOoIi9qOYsgENuqti9mVRkfUr/xIfUDX5oRoJYhsar+9rj2VVWie5bOUs69bYWrV0YMhglb10f7uk4/+KGHuHp9wsb1sdSbme7S3rBHVVV0ewm+r8gy0T1L5wVBKFIZCwsJ83lO1UqT2khaURi/UE/h+xJBK8sKz1PEsbwHjPuAx9n1Pu8/J78X7zkx4Hde2WEQ+1wb5zy8EvOOpT6//JVNykqzO8vJcnEKsPpmncjnfWcHPLk64MxCh47RXlvpRwQtXbY3wt2sObvXzy8XOXNweDBwpCNnAFrrEnifUmoR+Hml1FO3ePwbPZlvOFul1PcD3w9ANBQitXO1qedKJ9JxOdmGspLo2HhblkcdIQDTS0JygkYDisFyU1tWZEJuDOEps1ljcB7GNUnBD/bbQCX9prEgnQjZqvYawjPagtVzrLz/q1hY6hKGPhdf3hDZhtT4Zc6N36euGvIVREIGl0/LvJZPC8ELE/k82jTdm0Mj8zGVl02PhTFFmkpkbOcKBJHIPHSNDVSZMzhzntGVy40YbdQRYpnNSJZXAWpF+8nVyxTeCrPtLbm+VYkOIrlhQUQQBMQn1hld30QFHTMdTVkUdS0aZUHc75GORpx+7BwXv/AlIXlRgi5ywo5ogu28/CKECVdfltR00OlSpGkd9SzmRo8u6UsdoE3lApQ5k40N/t2/vsDHFlYp97bwBkaOJIzFC1NrggWJUiXdhPHumCiOalkPW49mDdDjjnxn0lmK7/uEcVh3bpZliU51vV4pVVs4tVX/bVelbXa4fHEX5SkuvnStFrm1adXPfvYieZrXkTHP9wiioK4l831FtxsSGdcAaHTdAOO12fx6dTohnU5IlhW8+sq2IXceRVFRlhVxLJG6OA4IQ493P7LCU6e6/NrTG3zhkgSWLu5mrA9CXtics9gNyArNi7sTvvWJNTZmKb/3yh6PriR87Ctb4jIwTPA9xTyveGU05eQg4eru3Pw+w7ppXDjsDs57/vxycHB4IHCYnZtvSkpDa72jlPoY8BHgqlLqlNb6slLqFHDtBrtcAM61Pp8FLt3k2D8O/DiI8TnzCaycMfVSJhK18WojBDtcp7N2kjzLGSwOiDti5H394nXybRlKtHyCbGfDnkD+0FcFS088xfbLL4FShMsnyK9f4OS73smVLz0rxKwsmiL8FrzARy2uUe5JATVxT7o+V86Arth87itszkYyVhv1KzKJVNXF/VHTXRmEcr7tK7JO7RrR2kkjcqsr2X77shC6Tr8RfE2nsHkBHcYmspeTX3pBata0hvEOI9v8EPdQiyfRs5FElPyA+aWX5DidAZO9LfB88muv1pHJpVMn2L5obldVkmc52XRK2O3tq7NqY+nUGtuXroIfcvHZF+v6NV1VoCvy2ayJAJpImgpjivkcL4oIOkL6snlap5f9hdXGJzMIyMaj+hqUudhvVVlGf3kR5SkmuxO6g16dap1P5xLpUzDaGdVRr7Is6zSvNl6j1rIpnaUEYcB0NK3dE4A6qlYWItthjdBtJNGSOlvQb99bg/ZOT+Zn9ePe9eRJLl8Zsb05qa/lmTMSyRqPJe28utpjU01JksCkL4WY2bQmSDozz0sGg5g4iQgCieLNZiXdbsh0mlGWmqrSpKni6Ze2eHVjQlFWLPvCQa7tzdkap4SBx8aoYpJVPLQY8epoyjAK+ZbHVpgVJesLHRZin81pjlcpLu3lTPOKE90J71gTh4qtcUYceCz1ohv9uh8K7tXzy0XOHBweHBwWQXtDcqaUWgNy82DrAN8I/BjwC8D3AH/X/Pw3N9j9D4G3K6UeBi4C3wn8hTc6Z3fY5+TX/HG63ZCNq3uMd8fyR91KaiiP/vIiZVGydmaNKPI5d3aBDz+6zDOX17m69TAAn/n4802nptZCSkIx9Y6W1sgmphRlsstkb7JfTLYqmhqzIIJsRjVNmwiOTW9aiyYbZVs5SxBLRIvpLmQpavUs+oVPyfrBKvhlK7W5K9Gy9bfB1iUTRdsFzDbzCd6Zx6mg6QZNJ+bmeCYSV8qy7mITzUsGQuSswwBId6WtqSuLJgKXzRrz9P6ypHhne2y/IhpqXndAlWWyfyt95+GBRy0iC7Bzfae5PmHczBMkLZrn+Ebzy/M8KtP1GSSiJVZgBHanOwSLa41VU1VRZIWQNhsBNOTO74qQ7Hhjk6g/oCpypns5QdyI7EZJ1AjdtkRpi7yoI2C1VAjScOB3/Fq+w0a82unMIAz2uRIA9fGtgC9AnMR1h6WFrjTf/pF38fyVPWYzI/ZbVcRJxHxe8Fe/+VH+wa88B4gB+nAoBvLjcUael3XBPzRp5arSTCZZTdw6nZDxOGU8ztAafF9SnWVZMZ3m+CYl+8p1+T5prVnoRSSVj+8p0rxkMfFZ6lakZUngKXbSjHetd9iZFxQ6YHdWGHHailf2ZmQmbdoLA5Z7EZXWd8wc/XZwGM8vBwcHh7eKW+nWfA9SMOsjf4p/Vmv9XymlVoCfBc4DrwDfobXeUkqdRlrOP2r2/yjw35r9f1Jr/XfeaFDe8KyOv+b/AlGHwaqkprqDLv1BzO72FD/wGW2P5OfVK0KYXn26JRprastskb6upMszNDVrNg2qK8L+kPzCVwjOPEaxeVmia5aoWBJkdL2a9OkOzMb4Z98h+l+zkWzbGRopjT0hPJbchTFebxFAXADm9rjGQH33uoxx5aykXJfEuJ2ZIY/TXVg+jbewKsbje/JPvr9ymvLyCzKm3gKECZ2FBWZbG5BOCVdPC6kFQ5YShisLzKdzst3tpnGiM8SLEmmomI/lOvaXmxo6073qD5cpswzli2ZZ0k3QlZZuU+uMAPhxLAKzZVmbm3u+J2NvkTUAL4waf0wjgwHUEhlJJ2E+m0uDgCXZlqTb7tsgIjS1cmiY7u7hx/E+c3RLlGyBv01OZfMUz9SXxR0h7nkqzQC2Y7NNqqwumSVhfuDXzQO2dq3Iin3SGXZ7+96Ox9az+b5Haq6TH/j0+xFpWtLrRa3oWZeiqMiykrKsSJKAIGjqzDxPUVWaIPCYzxtPWEvQut2IoqgYjVKSJMDzFJ1OiNfSJuskId044Pu+6iwv78741Ksj1ocxj60kfMMj68yykqyoiEOffhKwNc749Rev8+pOhqegF3l0IxnTO1a6vGNlwKnFhH4c7LuGN+Jqd7Fb854/v1zkzMHhwcXNONM9l9I4DHjDMzr+qr8KUUeK9neuC/GxqUFbEO+H9M+cZ3zxFanP8kMhMv1lWd8xBf2TXVg8IWSkt7S/G9PWO2V5TRwsYdCl+SM33hJyZwr3o4WlOpqiK02VzoRoWT22wsheJH1pZLDG5CCpSJsuzeYN4bD7zvZkjL0F4wBgJDD8AKYjKeSPjAPCbCTHsDV1nT4kfYL+Ql1HFUQB6SwVMmbHZiN+A6k5Q2vIplK7Nhs10UBD6JQhFkEYkI/38Dq9umvxYDejnu7i9Rep5jPCXp98tGMikdJdqXzxybQSGsVkJPdNKbwwFAJnELX9NNN5I6lhZT5yiaKp7kItUgsm1akaP0w/8GvRWq11TeKqqhKB3CCoddDsXOKORLssYbSyG8pTdZ2ZtY6ytWCe79X1bH7g12lKu2/dwWnGBOxrKrDb+Ea6RBsfzTD0UEqK/j1PMRjEhKHPrqnvCgJZr5RifbnL5u6sFsMNQ480lUjbaJTWgrW+L9G1QSfk5JJ0WPZjn/V+yLe98xS/e2GDz1ycMprnhL7HH3t4yDgt+ebHTjBIAiZpwbPXR6x1Yj72ijhlXN7LODkI62MtJgEnugnnlrqcWerU91XxWpkNJ0Lr4OBwP+Egdzoe5GzhnI6/9j+tC9f9bp9yvCtkwVoHTXdhuoc68zj9hT6jV1+UCFCcUI135EDJAPI50WCBMA6ZXLvaiNAaguQlPTr9DpMrlxoHgiIj6g/qovHpaCL/7s/HtU1T1OuT7W4ZC6lRUxtnrZWG66Z5IW8kH2C/QXhRNFZTVrdN68b1YOeqpDs9n6C/IF2Z118heuy9gCjMV5Md2Wey05C0IBYyWqQSlUt6jWuCJaXW2gnkfLrC6wyo5hMoc/zBEmVR1hEwrXVNyPzAN2aKSGTMEkh4rTCv1o1mWT3vrL4uXmcg0TKbWrUkVnn7HRaUknTxbNp8UYyOWxBLyq9tBSX2S/I5NCbq1svTemNa0mYlM0BIU/t3whIlS57aRKrIiprEKU+01CwhtFE1a5BeFmVNlO1xgyjgsbev8eILW7UoryWQlmzaOjObkrTRMpHLaHTcyrKi05EGgredHHB1Z8ZSP2Zjb87Vq+M6uhYEktbMsor5NKUsSwYLkqrf3tgliiPOv22ZK1fGBIFHHPs8dHaR3XHKfF7geYq3n1vk9FLCn3/qNPO8ZFoUfPLyLn/k9GKtn/ylzRFRoBhGAWf7XU4uJpwYJnieCX7CvnL7XuQ5cubg4HA/45gYn/sh7F2H/jLldIzXG4qwa5lLxCgUArJ8QqJk3sJ6XQc03zZpSOOPmc1mUqsU9xiuLLC3JZG34fKQ+XTOfCpOAkFvIAKknQHZ9UtkiRQ3qyiRiNJsj+75xygyse2pOyD9UN57PsHySaljsgTEpkILE+3TStKVtuEgnYnchh828hyTbTFQXz6N6i6gp7uSci1zOPV2sg3TQLB9ufHVHCzLMSZGRuT6y0L8hqtCwtqyH5YgLojlkhW2DeOQhdMPsXllU6JPRUZWFqI/Zuqzyr0tyrhHkCS1LVORTkCbr1I2bTpbiwyyGbozRFkrqLl4b3pJjyqbU+Vi3B4NF8imTSpYhabjVinJQBYZxawRHAbkulVl7TCQdBOmOzt116qN+OUmKupHUWNYbqJsNj1pyZ11B0CzL/1piURZlHXjgPKUfHcQgdmyKGvjdmsjZUmf9esMArlONv353Feuo5Qi7sRkaUYQmBSgqePLslICq9qjMFFEpRRR5COZNklrDodxXU92ZXvGNz25xsNLHT5weomPX9zip3//AlevT9jdTWuCaMVyJyNJb3f74hN65cq4TpPOZgUvvbrDeJQyHQkxfvXlTc49tMJqN+DMMOa9JxZ5fLXg+ixlvSPyLP3Yp6g0eaXZmmdEI4+y0pxe7BD4irLSEix2XpwODg4Or8HRJGfWZijqsHrmBFvXtqimo0YotjOAzYuweILN574iT3jPp8pTKSe3aUPlGc/MQmQWdq4yNukoz/MY74wlfZlOCRdWRCg08Mn2diFMOPO4NBZcfO7VuuNxunFd0n9VJfISNppTZBB1KKaTJlVZFJBtixSGtVDavCCpS6Uk4uQHEC4agdy06So1qUs93W0EdNMJbF2U+QOcftyQ1T0hdleel+Nac/I8g+yanCfpG1eDQSPjMTKdrFEHdq6SFhkbmRGntSnkokArRZkVos5vomxFluP5PmcePsnuVr+upcrmC4w3NoWkWX2zfI4OIsrJGK+/RFXktbuATXOWRUnU7TTG6EZLzBqO4wcyLz9oas5A0ptlgdZiM4Uf1sTIEiulFPgB5XyGF4l0RVVUeJFXR7VsvZjWGjTSQGDSkO1oGQH1mGxK09pI2YidrT9DUx/brrckbz6dE3fier6DYUK322Xz2ojuoEORl8RJSBz7pKl0Ykp9mI/nqbrzEkTTbDrNiSJZF/iKKPD4lidOEgUe2SsVvq2R8yWit7La45Fzi7x4YZf5XO611nIsq01ma9eyrCTphJRFXJvDB4FHEnqEvvh2PrE2ZHeac3EsRG+Wlyx3IgKlmJclF8czfE9xVc0ZdkK6sX8kRGodHByOLvZZ9x0zHMm0plJqBDx72OM4JKwCG4c9iEPCcZ47HO/5P661Hhz2IO4E3PPr2H6H4XjP/zjPHe7wM+xoRs7g2Qel/uTNQin1CTf344njPH+l1CcOewx3EO75dUxxnOd/nOcOd/4Z5r3xJg4ODg4ODg4ODvcKjpw5ODg4ODg4OBwhHFVy9uOHPYBDhJv78cVxnv+DNPcHaS5vFsd57nC853+c5w53eP5HsiHAwcHBwcHBweG44qhGzhwcHBwcHBwcjiUOlZwppb5DKfW0UqpSSn2otfzDSqnPmNdnlVLf3lr3MaXUs63164cz+reG25z7B5VSn1dKPaeU+ofqPhaAeZ35f5NS6pNmnp9USn19a92Dfu9fb+7H4d6vKKV+Uyk1Vkr9owP7HLl7f5yfX3C8n2HH+fkFx/sZds+eX1rrQ3sB7wQeBz4GfKi1vAsE5v0p4Frr875t79fXbc7948BXI1Kmvwz86cOex12Y//uB0+b9U8DF1roH/d6/3tyPw73vAV8L/ADwjw7sc+Tu/XF+fr2F+T8Q3+Pj/Px6C/N/0O/9HX1+HarOmdb6S8BrFIC11i0DRRIaE50HBm927kqpU8BQa/175vNPA9+GfMnvO7zO/D/d+vg0kCilYq11eg+Hd1fxZucOLHM87v0E+G2l1GOHMa43i+P8/ILj/Qw7zs8vON7PsHv1/DqyNWdKqT+qlHoa+DzwA1rrorX6fzShwf/r/RoafT3cZO5ngAutzS6YZQ8y/mPg0wcebA/0vW+hPffjeO9vhPvm3h/n5xe4Z5jBcX5+gXuGHcSbuvd3PXKmlPp14OQNVv2o1vrf3Gw/rfUfAE8qpd4J/JRS6pe11nPgu7TWF5VSA+BfAd8N/PTdGPtbxZ2cO9zQhPBI/0d+u/M3+z4J/Bjwza3FD/y9N/senPuxuvc3waHc++P8/ILj/Qw7zs8vON7PsKPw/Lrr5Exr/Y1vcf8vKaUmSP76E1rri2b5SCn1L4APc0S/4Hd47heAs63VZ4FLb+X4dxu3O3+l1Fng54G/qLV+vnW8B/7e32Tux+bev87xDuXeH+fnFxzvZ9hxfn7B8X6GHYXn15FMayqlHlZKBeb9Q0jx3UtKqUAptWqWh8CfAb5weCO987jZ3LXWl4GRUuqrTEj0LwK3w+CPNJRSi8AvAX9Da/07reXH4d4vcoO5H5d7fzPcb/f+OD+/4Hg/w47z8wvcM+xGuO17f7sdC3fiBXw7wqhT4CrwK2b5dyPFhJ8BPgV8m266IT4JfM6s/+8A/zDncK/mbtZ9yNzU54F/hBERvh9frzP//wKYmPnb1/oxufc3nPtxufdm3UvAFjA227zrqN774/z8up35m3UPxPf4OD+/bmf+x+Hem3V37PnlHAIcHBwcHBwcHI4QjmRa08HBwcHBwcHhuMKRMwcHBwcHBweHIwRHzhwcHBwcHBwcjhAcOXNwcHBwcHBwOEJw5MzBwcHBwcHB4QjBkTMHBwcHBwcHhyMER84cHBwcHBwcHI4QHDlzcHBwcHBwcDhCcOTMwcHBwcHBweEIwZEzBwcHBwcHB4cjBEfOHBwcHBwcHByOEBw5c3BwcHBwcHA4QnDkzMHBwcHBwcHhCMGRMwcHBwcHBweHIwRHzhwcHBwcHBwcjhAcOXNwcHBwcHBwOEJw5MzBwcHBwcHB4QjBkTMHBwcHBwcHhyMER84cHBwcHBwcHI4QHDlzcHBwcHBwcDhCcOTMwcHBwcHBweEIwZEzBwcHBwcHB4cjBEfOHBwcHBwcHByOEBw5c3BwcHBwcHA4QnDkzMHBwcHBwcHhCCE47AHcCP7wIa2LOaj2UtX6oZpl6kbr970B1T7QjY7z2u3UTbcBdYNl8kO9Ztm+5Qd2k1PeaKHdVN1g2ZvY5k1vt3/pwaGpAyvUG217S9upg0O74bb7l6vXLr/BJVY3XK5usvxm27f2aW148PodHNHBr86Nt1c3Od8Ntr3B78IN97mTx3uDY93oq3uD344bf98OnOZTn/rkr2itP/I6m903+MhHPqI3NjZuul5rfcvHutVtX2+721l3J4/3Zs/xVo9xcNntbPN6n9/svre7zVsd591Y9ma3udfrbufzndoHuKPPsCNJznQxI37iO+Xpr7zX/vT8G6zzwLvJ9jf9eeN1yrxQ1O/fzLI7sw2v+el5N1p+421v7edNztP67LXXs/+zd6P92L+f57X24Sb72G1b+3r7zi/byfpmH+/Aezu+G+5r33Ojfc1PDozTnK89tnp++z43x1X2+PZz+7qhbvK5OR8Hlt/TzwfWKbNB+7Ml06/3WfZ77fFe79ydUK3erefJvcbGxgaf+MQn6of37f58K/tqrV/3/c3WVVV1S9vdyrqbbXe729zq+qqq9i0/+Pleb3Oj153Yrr3uVo/3Vl+3ch67zcGfb2XZrW5/K2O9W8uBO/oMc2lNBwcHBwcHB4cjBEfOHBwcHBwcHByOEBw5c3BwcHBwcHA4QnDkzMHBwcHBwcHhCMGRMwcHBwcHBweHIwRHzhwcHBwcHBwcjhAcOXNwcHBwcHBwOEJw5MzBwcHBwcHB4QjBkTMHBwcHBwcHhyMER84cHBwcHBwcHI4QHDlzcHBwcHBwcDhCUMYT6khBKfUFYH7Y47gDWAVu7oB8f8HN5ejhQZkHQKK1fuqwB3En8AA9v+DB+Y49KPMAN5ejijv6DDuSxufAXGv9ocMexFuFUuoTD8I8wM3lKOJBmQfIXA57DHcQD8TzCx6c79iDMg9wczmquNPPMJfWdHBwcHBwcHA4QnDkzMHBwcHBwcHhCOGokrMfP+wB3CE8KPMAN5ejiAdlHuDmclTxoMzlQZkHuLkcVdzRuRzJhgAHBwcHBwcHh+OKoxo5c3BwcHBwcHA4lrjn5Ewp9beUUheVUp8xr4+21v0NpdRzSqlnlVLf0lr+QaXU5826f6iUUmZ5rJT6l2b5Hyil3nYI8/lrSimtlFq9X+ehlPrbSqnPmfvxq0qp0/fxXP5rpdQzZj4/r5RavI/n8h1KqaeVUpVS6kMH1t1Xc3k9KKU+YubxnFLqrx/2eG4VbzRuJfiHZv3nlFIfOIxxvhFuYR7fZcb/OaXU7yql3nsY47wV3Op3SSn1R5RSpVLqz97L8b0Z3MpclFJfZ57bTyul/v29HuOt4Ba+XwtKqf9FKfVZM4/vPYxx3gqUUj+plLqmRC7nRuvv3O+81vqevoC/Bfy1Gyx/F/BZIAYeBp4HfLPu48BXAwr4ZeBPm+X/B+CfmvffCfzLezyXc8CvAC8Dq/fxPIat9/+n1ljux7l8MxCY9z8G/Nh9PJd3Ao8DHwM+dD//rrzOHH0z/keAyMzrXYc9rjsxbuCj5h4o4KuAPzjscd/mPL4GWDLv//RRnMeb+S6Z7X4D+F+BP3vY434L92UR+CJw3nxeP+xx3+Y8/vPWc3oN2AKiwx77TebzJ4APAF+4yfo79jt/lNKa3wr8jNY61Vq/CDwHfFgpdQohD7+nZfY/DXxba5+fMu9/DvgGGym4R/gHwH8GtAv37rt5aK33Wh97NPO5H+fyq1rrwnz8feBsa1z321y+pLV+9gar7ru5vA4+DDyntX5Ba50BP4OM9ajjVsb9rcBPa8HvA4vmHh0lvOE8tNa/q7XeNh/bv1NHDbf6Xfoh4F8B1+7l4N4kbmUufwH411rrVwC01kdxPrcyDw0MzPOoj5CzgiMIrfVvIeO7Ge7Y7/xhkbMfNCG/n1RKLZllZ4BXW9tcMMvOmPcHl+/bx/xB3gVW7ubALZRS/xFwUWv92QOr7qt5WCil/o5S6lXgu4D/8uC4DO6LubTwfch/MfvGZXC/zaWN4zCXo45bGff9MLc3O8a/RPM7ddTwhnNRSp0Bvh34p/dwXLeDW7kv7wCWlFIfU0p9Uin1F+/Z6G4dtzKPf4RkCS4Bnwd+WGtd3Zvh3XHcsd/5u+IQoJT6deDkDVb9KPBPgL+NsOW/Dfx95I/ojf6L16+znDdY95bxBvP4z5EU2mt2u8mYDm0e8Ppz0Vr/G631jwI/qpT6G8APAn/zdcZ1pOditvlR5L+vf/4G4zryc7nRbjdYduhzuU0c1XG9EW5l3PfD3G55jEqpP4WQs6+9qyO6fdzKXP5b4Ee01uXRCBzfFLcylwD4IPANQAf4PaXU72utv3y3B/cmcCvz+BbgM8DXA48Cv6aU+v8dyOjcL7hjv/N3hZxprb/xVrZTSv0PwC+ajxeQGi6LswiTvsD+MLpd3t7nglIqABZ4/ZDjm8LN5qGUejdS6/NZ8wt+FviUUurDR3EecOv3BPgXwC8h5Oy+nItS6nuAPwN8g0nvtcd1cMxHei43wZGcy23iZnM56riVcd8Pc7ulMSql3gP8BFLDuHmPxvZmcStz+RDwM+a5vQp8VClVaK3/v/dkhLeOW/1+bWitJ8BEKfVbwHuBo0TObmUe3wv8XfOsfk4p9SLwBFI/e7/hzv3O34siugMFc6da7//PSO0MwJPsL3J+gabI+Q+R4jpb5PxRs/z/yP4i55+91/Mx536JpiHgvpsH8PbW+x8Cfu4+nstHkCLZtQPL77u5tMb+MfY3BNy3c7nB3AIz/odpCoafPOxx3YlxA/8B+4uDP37Y477NeZxH6hq/5rDHeye/S8A/4+g2BNzKfXkn8O/Mtl3gC8BThz3225jHPwH+lnl/AriI+Xt6FF/A27h5Q8Ad+50/jIn9T0he+XPAL7CfrP0o0tnxLKbLzCz/kPniPY/kp614bgL8f8yD4+PAI4d0s15qf5nut3kgxbFfMPfkfwHO3MdzeQ7J+X/GvP7pfTyXb0f+E0uBq8Cv3K9zeYN5fhT5b/95JJ176GO63XEDPwD8gHmvgH9s1n+eFsE+Sq9bmMdPANut36lPHPaYb3cuB7b9ZxxRcnarcwH+U+Sf0S8Af/Wwx3yb36/TwK+a35EvAP/bwx7z68zlfwYuA7l5Nv+lu/U77xwCHBwcHBwcHByOEI6SlIaDg4ODg4ODw7GHI2cODg4ODg4ODkcIjpw5ODg4ODg4OBwhOHLm4ODg4ODg4HCE4MiZg4ODg4ODg8MRgiNnDg4ODg4ODg5HCI6cOTg4ODg4ODgcIThy5uDg4ODg4OBwhPD/BzQ9NRIIf2ynAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,5))\n", "\n", "plt.subplot(1,2,1)\n", "C = plt.pcolormesh(XC, YC, bathy, vmin=-5000, vmax=0, cmap='Blues_r')\n", "plt.colorbar(C, orientation = 'horizontal')\n", "plt.title('Model Bathymetry')\n", "\n", "depth_level = 0\n", "plt.subplot(1,2,2)\n", "C = plt.pcolormesh(XC, YC, maskC[0,:,:], vmin=0, vmax=1, cmap='Greys')\n", "plt.colorbar(C, orientation = 'horizontal')\n", "plt.title('Mask (depth level = '+str(depth_level))\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "a37e0e64-13eb-4122-ae3c-0fead095fc9b", "metadata": {}, "source": [ "### Step 4: Prepare the grids for interpolation\n", "At this point, we can use the geometry of both grids to check to see which tiles have the information we need. By looking at the layout of the ECCO tiles, we find that tiles 8 and 11 have the points I need:" ] }, { "cell_type": "code", "execution_count": 9, "id": "076dfc32-ab58-422e-9b5a-47985af1e190", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# formulate the tile list\n", "tile_list = [8,11]\n", "\n", "# plot the ECCO tile points from the specified tiles\n", "for tile in tile_list:\n", " plt.plot(ecco_XC_tiles[tile],ecco_YC_tiles[tile],'k.')\n", "\n", "# plot the boundary of the CA model\n", "plt.plot(XC[:,0],YC[:,0], 'g-')\n", "plt.plot(XC[:,-1],YC[:,-1], 'g-')\n", "plt.plot(XC[0,:],YC[0,:], 'g-')\n", "plt.plot(XC[-1,:],YC[-1,:], 'g-')\n", "\n", "plt.xlabel('Longitude')\n", "plt.ylabel('Latitude')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "b332346e-acea-4d60-9494-8d850824b8f4", "metadata": {}, "source": [ "As we can see, the regional model boundary (green) is completely surrounded by the points in tiles 8 and 11 (black). We also note that there is extraneous information in points with positive longitudes. We will omit these points below to speed up the interpolation. Given these observations, we now read in points from just those tiles to use in interpolation:" ] }, { "cell_type": "code", "execution_count": 10, "id": "bfd5f5ec-1a41-4da6-81aa-9d121dfa023a", "metadata": {}, "outputs": [], "source": [ "# determine the number of points in each set\n", "total_points = 0\n", "for tile_number in tile_list:\n", " total_points += np.size(ecco_XC_tiles[tile_number])\n", "\n", "# make empty arrays to fill in\n", "ecco_XC_points = np.zeros((total_points, ))\n", "ecco_YC_points = np.zeros((total_points, ))\n", "ecco_maskC_points = np.zeros((np.size(ecco_RF_tiles[1]) , total_points))\n", "ecco_maskW_points = np.zeros((np.size(ecco_RF_tiles[1]) , total_points))\n", "ecco_maskS_points = np.zeros((np.size(ecco_RF_tiles[1]) , total_points))\n", "ecco_hFacW_points = np.zeros((np.size(ecco_RF_tiles[1]) , total_points))\n", "ecco_hFacS_points = np.zeros((np.size(ecco_RF_tiles[1]) , total_points))\n", "\n", "# loop through the tiles and fill in the XC, YC, and mask points for interpolation\n", "points_counted = 0\n", "for tile_number in tile_list:\n", " tile_N = np.size(ecco_XC_tiles[tile_number])\n", " \n", " ecco_XC_points[points_counted:points_counted+tile_N] = ecco_XC_tiles[tile_number].ravel()\n", " ecco_YC_points[points_counted:points_counted+tile_N] = ecco_YC_tiles[tile_number].ravel()\n", " \n", " for k in range(np.size(ecco_RF_tiles[tile_number])):\n", " level_hFacC = ecco_hFacC_tiles[tile_number][k, :, :]\n", " if tile_number<7:\n", " level_hFacW = ecco_hFacW_tiles[tile_number][k, :, :]\n", " level_hFacS = ecco_hFacS_tiles[tile_number][k, :, :]\n", " else:\n", " level_hFacS = ecco_hFacW_tiles[tile_number][k, :, :] # these are switched due to the \n", " level_hFacW = ecco_hFacS_tiles[tile_number][k, :, :] # assumptions about velocity - see note below\n", " ecco_hFacW_points[k, points_counted:points_counted+tile_N] = level_hFacW.ravel()\n", " ecco_hFacS_points[k, points_counted:points_counted+tile_N] = level_hFacS.ravel()\n", " level_maskC = np.copy(level_hFacC)\n", " level_maskC[level_maskC>0] = 1\n", " level_maskW = np.copy(level_hFacW)\n", " level_maskW[level_maskW>0] = 1\n", " level_maskS = np.copy(level_hFacS)\n", " level_maskS[level_maskS>0] = 1\n", " ecco_maskC_points[k, points_counted:points_counted+tile_N] = level_maskC.ravel()\n", " ecco_maskW_points[k, points_counted:points_counted+tile_N] = level_maskW.ravel()\n", " ecco_maskS_points[k, points_counted:points_counted+tile_N] = level_maskS.ravel()\n", " \n", " points_counted += tile_N\n", "\n", "# remove the points with positive longitude\n", "local_indices = ecco_XC_points<0\n", "ecco_maskC_points = ecco_maskC_points[:, local_indices]\n", "ecco_maskW_points = ecco_maskW_points[:, local_indices]\n", "ecco_maskS_points = ecco_maskS_points[:, local_indices]\n", "ecco_YC_points = ecco_YC_points[local_indices]\n", "ecco_XC_points = ecco_XC_points[local_indices]" ] }, { "cell_type": "markdown", "id": "c4462677-8079-45e5-9faf-d39452350218", "metadata": {}, "source": [ "Next, we'll read in the real data fields and apply the modifications. First, create a dictionary to store the file names:" ] }, { "cell_type": "code", "execution_count": 11, "id": "4dbb96e5-bef6-4307-a5b3-f4441a930f3b", "metadata": {}, "outputs": [], "source": [ "# make a file dictionary to loop over\n", "\n", "file_prefix_dict = {'ETAN':'ETAN_2008.nc',\n", " 'THETA':'THETA_2008.nc',\n", " 'SALT':'SALT_2008.nc',\n", " 'UVEL':'UVELMASS_2008.nc',\n", " 'VVEL':'VVELMASS_2008.nc'}\n", "\n", "variable_names = list(file_prefix_dict.keys())" ] }, { "cell_type": "markdown", "id": "1bf5206c-6f45-431e-9988-a1b007ce954e", "metadata": {}, "source": [ "Now, read the initial condition fields from the same tiles:" ] }, { "cell_type": "code", "execution_count": 12, "id": "6963b363-9245-4f9b-9f40-2b7318286460", "metadata": {}, "outputs": [], "source": [ "# make a list to hold all of the ECCO grids\n", "init_grids = []\n", "\n", "# loop through each variable to read in the grid\n", "for variable_name in variable_names:\n", " \n", " if variable_name == 'ETAN':\n", " ds = nc4.Dataset(os.path.join(data_folder,file_prefix_dict[variable_name]))\n", " grid = ds.variables[variable_name][:,:,:,:]\n", " ds.close()\n", " grid = grid[0, :, :, :] # first timestep (january)\n", " elif 'VEL' in variable_name:\n", " ds = nc4.Dataset(os.path.join(data_folder,'UVELMASS_2008.nc'))\n", " u_grid = ds.variables['UVELMASS'][:,:,:,:,:]\n", " u_grid = u_grid[0, :, :, :, :] # first timestep (january)\n", " ds.close()\n", " ds = nc4.Dataset(os.path.join(data_folder,'VVELMASS_2008.nc'))\n", " v_grid = ds.variables['VVELMASS'][:,:,:,:,:]\n", " ds.close()\n", " v_grid = v_grid[0, :, :, :, :] # first timestep (january)\n", " else:\n", " ds = nc4.Dataset(os.path.join(data_folder,file_prefix_dict[variable_name]))\n", " grid = ds.variables[variable_name][:,:,:,:,:]\n", " ds.close()\n", " grid = grid[0, :, :, :, :] # first timestep (january)\n", " \n", " # create a grid of zeros to fill in\n", " N = np.shape(grid)[-1]*np.shape(grid)[-2]\n", " if variable_name == 'ETAN':\n", " init_grid = np.zeros((1, N*len(tile_list)))\n", " else:\n", " init_grid = np.zeros((np.size(ecco_RF_tiles[1]), N*len(tile_list)))\n", "\n", " # loop through the tiles\n", " points_counted = 0\n", " for tile_number in tile_list:\n", " if variable_name == 'ETAN':\n", " init_grid[0,points_counted:points_counted+N] = \\\n", " grid[tile_number-1, :, :].ravel()\n", " elif 'VEL' in variable_name: # when using velocity, need to consider the tile rotations (see note below)\n", " if variable_name == 'UVEL':\n", " if tile_number<7:\n", " for k in range(np.size(ecco_RF_tiles[1])): \n", " init_grid[k,points_counted:points_counted+N] = \\\n", " u_grid[k, tile_number-1, :, :].ravel()\n", " else:\n", " for k in range(np.size(ecco_RF_tiles[1])):\n", " init_grid[k,points_counted:points_counted+N] = \\\n", " v_grid[k, tile_number-1, :, :].ravel()\n", " if variable_name == 'VVEL':\n", " if tile_number<7:\n", " for k in range(np.size(ecco_RF_tiles[1])):\n", " init_grid[k,points_counted:points_counted+N] = \\\n", " v_grid[k, tile_number-1, :, :].ravel()\n", " else:\n", " for k in range(np.size(ecco_RF_tiles[1])):\n", " init_grid[k,points_counted:points_counted+N] = \\\n", " -1*u_grid[k, tile_number-1, :, :].ravel()\n", " else:\n", " for k in range(np.size(ecco_RF_tiles[1])):\n", " init_grid[k,points_counted:points_counted+N] = \\\n", " grid[k, tile_number-1, :, :].ravel()\n", " points_counted += N\n", "\n", " # apply some corrections to convert UVELMASS and VVELMASS to UVEL and VVEL\n", " if variable_name == 'UVEL':\n", " for k in range(np.size(ecco_RF_tiles[1])):\n", " non_zero_indices = ecco_hFacW_points[k,:]!=0\n", " init_grid[k,non_zero_indices] = init_grid[k,non_zero_indices]/(ecco_hFacW_points[k,non_zero_indices])\n", " if variable_name == 'VVEL':\n", " for k in range(np.size(ecco_RF_tiles[1])):\n", " non_zero_indices = ecco_hFacS_points[k,:]!=0\n", " init_grid[k,non_zero_indices] = init_grid[k,non_zero_indices]/(ecco_hFacS_points[k,non_zero_indices])\n", "\n", " # remove the points with positive longitudes\n", " init_grid = init_grid[:,local_indices]\n", " \n", " init_grids.append(init_grid)" ] }, { "cell_type": "markdown", "id": "c8e32043-a3a3-49df-a724-de2be9f98708", "metadata": {}, "source": [ "### Step 5: Interpolate the Fields onto the Model Grid\n", "Next, we will interpolate the ECCO fields we read in onto the regional model domain. Here, we will use the `horizontal` module from the `eccoseas` package to accomplish this interpolation." ] }, { "cell_type": "code", "execution_count": 13, "id": "d0aae164-a3f8-470b-a973-7f7ddffdcef1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " - Interpolating the ETAN grid\n", " - Interpolating the THETA grid\n", " - Interpolating the SALT grid\n", " - Interpolating the UVEL grid\n", " - Interpolating the VVEL grid\n" ] } ], "source": [ "# loop through each variable and corresponding ECCO grid\n", "for variable_name, init_grid in zip(variable_names, init_grids):\n", "\n", " print(' - Interpolating the '+variable_name+' grid')\n", "\n", " # read in the correct mask for each variable\n", " if variable_name == 'ETAN':\n", " regional_mask = maskC[:1,:,:]\n", " ecco_mask = ecco_maskC_points[:1,:]\n", " elif variable_name == 'UVEL':\n", " regional_mask = maskW\n", " ecco_mask = ecco_maskW_points\n", " elif variable_name == 'VVEL':\n", " regional_mask = maskS\n", " ecco_mask = ecco_maskS_points\n", " else:\n", " regional_mask = maskC\n", " ecco_mask = ecco_maskC_points\n", "\n", " # run the interpolation scheme\n", " interpolated_grid = horizontal.downscale_3D_points(np.column_stack([ecco_XC_points, ecco_YC_points]),\n", " init_grid, ecco_mask, \n", " XC, YC, regional_mask, testing=False) # testing will only interpolate the\n", " # first level, use for testing and then\n", " # be sure to uncomment when creating the\n", " # actual initial conditions\n", "\n", "\n", " # output the interpolated grid\n", " output_file = os.path.join(input_dir,variable_name+'_IC.bin')\n", " interpolated_grid.ravel('C').astype('>f4').tofile(output_file)" ] }, { "cell_type": "markdown", "id": "efe30ee2-7b83-498d-813c-9b9ea152ed6f", "metadata": {}, "source": [ "### Step 6: Plotting the Initial Condition Fields\n", "Now that the fields have been generated, we will plot them to ensure they look as expected. First, generate some metadata for each one to design the look of the plot:" ] }, { "cell_type": "code", "execution_count": 14, "id": "e7ac447d-91d1-4a85-b4c3-12529580db54", "metadata": {}, "outputs": [], "source": [ "meta_dict = {'ETAN':[0.1, 0.5, 'viridis', 'm'],\n", " 'THETA':[6, 18, 'turbo', 'm'],\n", " 'SALT':[32, 35, 'viridis', 'm'],\n", " 'UVEL':[-0.25, 0.25, 'seismic', 'm'],\n", " 'VVEL':[-0.25, 0.25, 'seismic', 'm']}" ] }, { "cell_type": "markdown", "id": "5c60e704-57ae-4d35-aca8-2dbc8ad5f84a", "metadata": {}, "source": [ "Then, create all of the subplots:" ] }, { "cell_type": "code", "execution_count": 15, "id": "bd252056-d8e7-4cce-a50d-43e20b50c301", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(12,8))\n", "\n", "\n", "for i in range(len(variable_names)):\n", " variable_name = variable_names[i]\n", " \n", " CA_init_grid = np.fromfile(os.path.join(input_dir,variable_name+'_IC.bin'),'>f4')\n", "\n", " if variable_name == 'ETAN':\n", " CA_init_grid = CA_init_grid.reshape((np.shape(XC)[0], np.shape(XC)[1]))\n", " else:\n", " CA_init_grid = CA_init_grid.reshape((np.shape(delR)[0],np.shape(XC)[0], np.shape(XC)[1]))\n", " CA_init_grid = CA_init_grid[0, :, :] # choose just the surface for plotting\n", " \n", " plt.subplot(2,3,i+1)\n", " C = plt.pcolormesh(XC, YC, CA_init_grid,\n", " vmin=meta_dict[variable_names[i]][0],\n", " vmax=meta_dict[variable_names[i]][1],\n", " cmap=meta_dict[variable_names[i]][2])\n", " plt.colorbar(C, label=variable_names[i]+' ('+meta_dict[variable_names[i]][3]+')',fraction=0.26)\n", "\n", " if i<5:\n", " plt.gca().set_xticklabels([])\n", " else:\n", " plt.gca().set_xlabel('Longitude')\n", " if i%2==1:\n", " plt.gca().set_yticklabels([])\n", " if i==7:\n", " plt.gca().axis('off')\n", " if i==2:\n", " plt.gca().set_ylabel('Latitude')\n", " plt.title(variable_name)\n", "\n", "plt.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "c09ea7f2-2254-47f8-989b-04990088b89a", "metadata": {}, "source": [ "Looks good! Now we need to make our external forcing and boundary conditions before we're ready to run the model." ] }, { "cell_type": "markdown", "id": "e6f8fe30", "metadata": {}, "source": [ ".. note::\n", " Note: For the velocity fields, we have implicitly assumed that the direction of the velocity field is in the correct orientation i.e. that UVEL points east and VVEL points north. For this region of the globe, this is approximately true and this assumption only leads to small errors. However, this is not true in general. The next two regional model domains require closer consideration of these fields. See the following examples to learn how to deal with these grid issues.\n" ] }, { "cell_type": "markdown", "id": "ffeeedb0-d365-4e6a-a6e1-222351fa222f", "metadata": {}, "source": [ "### Step 7: Run-time considerations\n", "To use the grids as initial conditions in the model, we can specify them as \"hydrography\" conditions in the `data` file. Specifically, I will add the following lines to `PARM05` of the data file:" ] }, { "cell_type": "markdown", "id": "9ea85bef-c9c3-4a89-9094-171b2bea0ce2", "metadata": {}, "source": [ "```\n", "hydrogThetaFile = 'THETA_IC.bin',\n", "hydrogSaltFile = 'SALT_IC.bin',\n", "uVelInitFile = 'UVEL_IC.bin',\n", "vVelInitFile = 'VVEL_IC.bin',\n", "pSurfInitFile = 'ETAN_IC.bin',\n", "```" ] }, { "cell_type": "markdown", "id": "ecf35108-8be3-4219-bb35-334411b4cdaf", "metadata": {}, "source": [ "Note that `nIter=0` must be set to use these conditions." ] } ], "metadata": { "kernelspec": { "display_name": "mitgcm", "language": "python", "name": "mitgcm" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.10" } }, "nbformat": 4, "nbformat_minor": 5 }