{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# FastCCD Data Correction ##\n", "\n", "Author: I. Klačková, Version 1.0\n", "\n", "The following notebook provides correction of images acquired with the FastCCD." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "in_folder = \"/gpfs/exfel/data/user/klackova/FCCDdata/test\"\n", "out_folder = '/gpfs/exfel/data/scratch/haufs/test/' #output folder\n", "path_template = 'RAW-R{:04d}-FASTCCD00-S000{{:02d}}.h5'\n", "run = 779\n", "h5path = '/INSTRUMENT/fastCCDDAQ:daqOutput/data/image'\n", "cluster_profile = \"noDB\" #ipcluster profile to use\n", "cpuCores = 16 #Specifies the number of running cpu cores\n", "operation_mode = \"FF\" #or \"FF\". FS stands for frame-store and FF for full-frame opeartion\n", "split_evt_primary_threshold = 7. # primary threshold for split event classification in terms of n sigma noise\n", "split_evt_secondary_threshold = 4. # secondary threshold for split event classification in terms of n sigma noise\n", "split_evt_mip_threshold = 1000. # MIP threshold for event classification\n", "cti_Axis_LH = 1 #CTI axis index for lower hemisphere\n", "cti_Axis_UH = 0 #CTI axis indes for upper hemisphere\n", "cal_db_interface = \"tcp://max-exfl016:8020\" # calibration DB interface to use\n", "sequences = [3] # sequences to correct, set to -1 for all, range allowed\n", "chunk_size_idim = 1 # H5 chunking size of output data\n", "overwrite = True" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Disabled GPU usage after pyCuda import failed!: libcuda.so.1: cannot open shared object file: No such file or directory\n", "Using Cython were available\n" ] } ], "source": [ "import XFELDetAna.xfelprofiler as xprof\n", "\n", "profiler = xprof.Profiler()\n", "profiler.disable()\n", "from XFELDetAna.util import env\n", "env.iprofile = cluster_profile\n", "\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "\n", "from XFELDetAna import xfelpycaltools as xcal\n", "from XFELDetAna import xfelpyanatools as xana\n", "from XFELDetAna.plotting.util import prettyPlotting\n", "prettyPlotting=True\n", "from XFELDetAna.xfelreaders import ChunkReader\n", "from XFELDetAna.detectors.fastccd import readerh5 as fastccdreaderh5\n", "\n", "import numpy as np\n", "import h5py\n", "import matplotlib.pyplot as plt\n", "from iminuit import Minuit\n", "\n", "import time\n", "import copy\n", "import os\n", "\n", "from prettytable import PrettyTable\n", "\n", "from iCalibrationDB import ConstantMetaData, Constants, Conditions, Detectors, Versions\n", "from iCalibrationDB.detectors import DetectorTypes\n", "\n", "%matplotlib inline\n", "\n", "if sequences[0] == -1:\n", " sequences = None" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "You are analyzing data in FF mode.\n", "Reading data from: /gpfs/exfel/data/user/klackova/FCCDdata/test/r0779/RAW-R0779-FASTCCD00-S000{:02d}.h5\n", "\n", "Run is: 779\n", "HDF5 path: /INSTRUMENT/fastCCDDAQ:daqOutput/data/image\n" ] } ], "source": [ "if operation_mode == \"FS\":\n", " x = 960 # rows of the FastCCD to analyze in FS mode \n", " y = 960 # columns of the FastCCD to analyze in FS mode \n", " print('\\nYou are analyzing data in FS mode.')\n", "else:\n", " x = 1934 # rows of the FastCCD to analyze in FF mode \n", " y = 960 # columns of the FastCCD to analyze in FF mode\n", " print('\\nYou are analyzing data in FF mode.')\n", " \n", "ped_dir = \"{}/r{:04d}\".format(in_folder, run)\n", "out_folder = \"{}/r{:04d}\".format(out_folder, run)\n", "fp_name = path_template.format(run)\n", "fp_path = '{}/{}'.format(ped_dir, fp_name)\n", "\n", "print(\"Reading data from: {}\\n\".format(fp_path))\n", "print(\"Run is: {}\".format(run))\n", "print(\"HDF5 path: {}\".format(h5path))" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Bias voltage is 0 V\n", "Detector gain is set to x8\n", "Detector integration time is set to 1\n" ] } ], "source": [ "\n", "sensorSize = [x, y]\n", "chunkSize = 100 #Number of images to read per chunk\n", "blockSize = [sensorSize[0]//2, sensorSize[1]//4] #Sensor area will be analysed according to blocksize\n", "xcal.defaultBlockSize = blockSize\n", "memoryCells = 1 #FastCCD has 1 memory cell\n", "#Specifies total number of images to proceed\n", "\n", "commonModeBlockSize = blockSize\n", "commonModeAxisR = 'row'#Axis along which common mode will be calculated\n", "run_parallel = True\n", "profile = False\n", "\n", "filename = fp_path.format(sequences[0] if sequences else 0)\n", "with h5py.File(filename, 'r') as f:\n", " bias_voltage = int(f['/RUN/fastCCDControl/biasclock/bias/value'][0])\n", " det_gain = int(f['/RUN/fastCCDControl/exposure/gain/value'][0])\n", " integration_time = int(f['/RUN/fastCCDControl/acquisitionTime/value'][0])\n", " print(\"Bias voltage is {} V\".format(bias_voltage))\n", " print(\"Detector gain is set to x{}\".format(det_gain))\n", " print(\"Detector integration time is set to {}\".format(integration_time))\n", "\n", "if not os.path.exists(out_folder):\n", " os.makedirs(out_folder)\n", "elif not overwrite:\n", " raise AttributeError(\"Output path exists! Exiting\") \n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [], "source": [ "dirlist = sorted(os.listdir(ped_dir))\n", "file_list = []\n", "total_sequences = 0\n", "fsequences = []\n", "for entry in dirlist:\n", "\n", " #only h5 file\n", " abs_entry = \"{}/{}\".format(ped_dir, entry)\n", " if os.path.isfile(abs_entry) and os.path.splitext(abs_entry)[1] == \".h5\":\n", " \n", " if sequences is None:\n", " for seq in range(len(dirlist)):\n", " \n", " if path_template.format(run).format(seq) in abs_entry:\n", " file_list.append(abs_entry)\n", " total_sequences += 1\n", " fsequences.append(seq)\n", " else:\n", " for seq in sequences:\n", " \n", " if path_template.format(run).format(seq) in abs_entry:\n", " file_list.append(os.path.abspath(abs_entry))\n", " total_sequences += 1\n", " fsequences.append(seq)\n", "sequences = fsequences" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing a total of 1 sequence files\n" ] }, { "data": { "text/latex": [ "\\begin{tabular}{rl}\n", "\\hline\n", " \\# & file \\\\\n", "\\hline\n", " 0 & /gpfs/exfel/data/user/klackova/FCCDdata/test/r0779/RAW-R0779-FASTCCD00-S00003.h5 \\\\\n", "\\hline\n", "\\end{tabular}" ], "text/plain": [ "<IPython.core.display.Latex object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import copy\n", "from IPython.display import HTML, display, Markdown, Latex\n", "import tabulate\n", "print(\"Processing a total of {} sequence files\".format(total_sequences))\n", "table = []\n", "\n", "\n", "for k, f in enumerate(file_list):\n", " table.append((k, f))\n", " \n", "md = display(Latex(tabulate.tabulate(table, tablefmt='latex', headers=[\"#\", \"file\"]))) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As a first step, dark maps have to be loaded." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "## offset\n", "\n", "metadata = ConstantMetaData()\n", "offset = Constants.CCD(DetectorTypes.fastCCD).Offset()\n", "metadata.calibration_constant = offset\n", "\n", "# set the operating condition\n", "condition = Conditions.Dark.CCD(bias_voltage=bias_voltage,\n", " integration_time=integration_time,\n", " gain_setting=det_gain)\n", "device = Detectors.fastCCD1\n", "\n", "\n", "metadata.detector_condition = condition\n", "\n", "# specify the a version for this constant\n", "metadata.calibration_constant_version = Versions.Now(device=device)\n", "metadata.retrieve(cal_db_interface)\n", "offsetMap = offset.data\n", "\n", "## noise\n", "\n", "metadata = ConstantMetaData()\n", "noise = Constants.CCD(DetectorTypes.fastCCD).Noise()\n", "metadata.calibration_constant = noise\n", "\n", "# set the operating condition\n", "condition = Conditions.Dark.CCD(bias_voltage=bias_voltage,\n", " integration_time=integration_time,\n", " gain_setting=det_gain)\n", "device = Detectors.fastCCD1\n", "\n", "\n", "metadata.detector_condition = condition\n", "\n", "# specify the a version for this constant\n", "metadata.calibration_constant_version = Versions.Now(device=device)\n", "metadata.retrieve(cal_db_interface)\n", "noiseMap = noise.data\n", "\n", "## bad pixels \n", "\n", "metadata = ConstantMetaData()\n", "bpix = Constants.CCD(DetectorTypes.fastCCD).BadPixelsDark()\n", "metadata.calibration_constant = bpix\n", "\n", "# set the operating condition\n", "condition = Conditions.Dark.CCD(bias_voltage=bias_voltage,\n", " integration_time=integration_time,\n", " gain_setting=det_gain)\n", "device = Detectors.fastCCD1\n", "\n", "\n", "metadata.detector_condition = condition\n", "\n", "# specify the a version for this constant\n", "metadata.calibration_constant_version = Versions.Now(device=device)\n", "metadata.retrieve(cal_db_interface)\n", "\n", "badPixelMap = bpix.data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Loading cti and relative gain values" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "## relative gain\n", "\n", "metadata = ConstantMetaData()\n", "relgain = Constants.CCD(DetectorTypes.fastCCD).RelativeGain()\n", "metadata.calibration_constant = relgain\n", "\n", "# set the operating condition\n", "condition = Conditions.Illuminated.CCD(bias_voltage=bias_voltage,\n", " photon_energy=5.9,\n", " integration_time=integration_time,\n", " gain_setting=det_gain)\n", "device = Detectors.fastCCD1\n", "\n", "\n", "metadata.detector_condition = condition\n", "\n", "# specify the a version for this constant\n", "metadata.calibration_constant_version = Versions.Now(device=device)\n", "metadata.retrieve(cal_db_interface)\n", "\n", "relGainLH = np.squeeze(relgain.data[0,...])\n", "relGainUH = np.squeeze(relgain.data[-1,...])\n", "\n", "## CTI gain\n", "\n", "metadata = ConstantMetaData()\n", "cti = Constants.CCD(DetectorTypes.fastCCD).CTI()\n", "metadata.calibration_constant = cti\n", "\n", "# set the operating condition\n", "condition = Conditions.Illuminated.CCD(bias_voltage=bias_voltage,\n", " photon_energy=5.9,\n", " integration_time=integration_time,\n", " gain_setting=det_gain)\n", "device = Detectors.fastCCD1\n", "\n", "\n", "metadata.detector_condition = condition\n", "\n", "# specify the a version for this constant\n", "metadata.calibration_constant_version = Versions.Now(device=device)\n", "metadata.retrieve(cal_db_interface)\n", "\n", "ctiLH = np.squeeze(cti.data[0,...])\n", "ctiUH = np.squeeze(cti.data[-1,...])\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [], "source": [ "#************************Calculators************************#\n", "\n", "offsetCorrection = xcal.OffsetCorrection([x, y], \n", " offsetMap, \n", " nCells = memoryCells, \n", " cores=cpuCores, gains=None,\n", " blockSize=blockSize)\n", "\n", "cmCorrection = xcal.CommonModeCorrection([x, y], \n", " commonModeBlockSize, \n", " commonModeAxisR,\n", " nCells = memoryCells, \n", " noiseMap = noiseMap,\n", " runParallel=run_parallel,\n", " stats=True)\n", "\n", "patternClassifierLH = xcal.PatternClassifier([x//2, y], \n", " noiseMap[:x//2, :], \n", " split_evt_primary_threshold, \n", " split_evt_secondary_threshold,\n", " split_evt_mip_threshold,\n", " tagFirstSingles = 0, \n", " nCells=memoryCells, \n", " cores=cpuCores, \n", " allowElongated = False,\n", " blockSize=blockSize,\n", " runParallel=run_parallel)\n", "\n", "patternClassifierUH = xcal.PatternClassifier([x//2, y], \n", " noiseMap[x//2:, :], \n", " split_evt_primary_threshold, \n", " split_evt_secondary_threshold,\n", " split_evt_mip_threshold,\n", " tagFirstSingles = 0, \n", " nCells=memoryCells, \n", " cores=cpuCores, \n", " allowElongated = False,\n", " blockSize=blockSize,\n", " runParallel=run_parallel)\n", "\n", "\n", "ctiCorrectionLH = xcal.CTICorrection([x//2, y], \n", " ctiLH, axis = cti_Axis_LH, cores=cpuCores,\n", " nCells = memoryCells, gains=None,\n", " blockSize=blockSize, runParallel=run_parallel) \n", " \n", "relGainCorrLH = xcal.RelativeGainCorrection([x//2, y], \n", " relGainLH, axis = cti_Axis_LH, \n", " cores=cpuCores,\n", " nCells = memoryCells, gains=None,\n", " blockSize=blockSize, runParallel=run_parallel)\n", "\n", "ctiCorrectionUH = xcal.CTICorrection([x//2, y], \n", " ctiUH, axis = cti_Axis_UH, cores=cpuCores,\n", " nCells = memoryCells, gains=None,\n", " blockSize=blockSize, runParallel=run_parallel) \n", " \n", "relGainCorrUH = xcal.RelativeGainCorrection([x//2, y], \n", " relGainUH, axis = cti_Axis_UH, \n", " cores=cpuCores,\n", " nCells = memoryCells, gains=None,\n", " blockSize=blockSize, runParallel=run_parallel)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ "#*********Setting bad pixel mask***************#\n", "\n", "patternClassifierLH.setBadPixelMask(badPixelMap[:x//2, :])\n", "patternClassifierUH.setBadPixelMask(badPixelMap[x//2:, :])\n", "ctiCorrectionLH.setBadPixelMask(badPixelMap[:x//2, :])\n", "ctiCorrectionUH.setBadPixelMask(badPixelMap[x//2:, :])\n", "relGainCorrLH.setBadPixelMask(badPixelMap[:x//2, :])\n", "relGainCorrUH.setBadPixelMask(badPixelMap[x//2:, :])" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [], "source": [ "#*****************Histogram Calculators******************#\n", "\n", "histCalOffsetCor = xcal.HistogramCalculator([x, y], \n", " bins=1000, \n", " range=[0, 1000],\n", " nCells=memoryCells, \n", " cores=cpuCores,\n", " blockSize=blockSize)\n", "\n", "histCalCTICor = xcal.HistogramCalculator([x, y], \n", " bins=1000, \n", " range=[0, 1000],\n", " nCells=memoryCells, \n", " cores=cpuCores,\n", " blockSize=blockSize)\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Applying corrections" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "patternClassifierLH._imagesPerChunk = 50\n", "patternClassifierUH._imagesPerChunk = 50" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def copy_and_sanitize_non_cal_data(infile, outfile, h5base):\n", " \"\"\" Copy and sanitize data in `infile` that is not touched by `correctLPD`\n", " \"\"\"\n", " \n", " if h5base.startswith(\"/\"):\n", " h5base = h5base[1:]\n", " dont_copy = ['pixels']\n", " dont_copy = [h5base+\"/{}\".format(do)\n", " for do in dont_copy]\n", "\n", " def visitor(k, item):\n", " if k not in dont_copy:\n", " if isinstance(item, h5py.Group):\n", " outfile.create_group(k)\n", " elif isinstance(item, h5py.Dataset):\n", " group = str(k).split(\"/\")\n", " group = \"/\".join(group[:-1])\n", " infile.copy(k, outfile[group])\n", " \n", " infile.visititems(visitor)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [], "source": [ "for k, f in enumerate(file_list):\n", " with h5py.File(f, 'r') as infile:\n", " out_file = \"{}/{}\".format(out_folder, f.split(\"/\")[-1])\n", " out_file = out_file.replace(\"RAW\", \"CORR\")\n", " with h5py.File(out_file, \"w\") as ofile:\n", " try:\n", " copy_and_sanitize_non_cal_data(infile, ofile, h5path)\n", " data = infile[h5path+\"/pixels\"][()].astype(np.float32)\n", " oshape = data.shape\n", " data = np.moveaxis(data, 0, 2)\n", " ddset = ofile.create_dataset(h5path+\"/pixels\",\n", " oshape,\n", " chunks=(chunk_size_idim, oshape[1], oshape[2]),\n", " dtype=np.float32)\n", "\n", " \n", " data = offsetCorrection.correct(data.astype(np.float32)) #correct for the offset \n", " histCalOffsetCor.fill(data)\n", "\n", " data = cmCorrection.correct(data) #correct for the row common mode \n", " \n", " dataLH = data[:x//2, :, :]\n", " dataUH = data[x//2:, :, :]\n", "\n", " #*************CTI/Rel.gain Correction*************#\n", "\n", " dataLH = ctiCorrectionLH.correct(dataLH)\n", " dataLH = relGainCorrLH.correct(dataLH)\n", "\n", " dataUH = ctiCorrectionUH.correct(dataUH)\n", " dataUH = relGainCorrUH.correct(dataUH)\n", "\n", " #*************Pattern Classification*************#\n", " dataLH, patternsLH = patternClassifierLH.classify(dataLH)\n", " dataUH, patternsUH = patternClassifierUH.classify(dataUH)\n", "\n", " histCalCTICor.fill(dataLH)\n", " histCalCTICor.fill(dataUH)\n", "\n", " \n", " data[:x//2, :, :] = dataLH\n", " data[x//2:, :, :] = dataUH\n", " ddset[...] = np.moveaxis(data, 2, 0)\n", " \n", " \n", " except:\n", " print(\"Couldn't calibrate data in {}\".format(f))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plotting results." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "******************LOWER HEMISPHERE******************\n", "\n" ] }, { "data": { "image/png": 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xSffO08hohvzV91PN1jlxQ43OwVNUBkucnPVtH0Y0GQHXvfO0FYCgBaYRi55f\nIV1IMD3cQ5dftm3Cns5kX9k+VH+JzsFTdO88jedXyF99P6pfez2N18+Mo7dv2h7f2zdN9baF0aHm\nWlazdSu053LaQ9rbN02Xr0Xn6F3brRg2/YyPddpxzB7oYXxM+2Y6DwupmYS13XgbzbVIFJP2/Zge\nUFZAmvGlZhLM5SpM7qmSKmKvp+ovcfhkb9MPpWG55trFwqU1mlXMjlt2vKR9c/txr8d7hbTJpXVL\nYvWQAd4NfCU/lL98pY1ZbQTFtV8L3AEcBj6llPrvZsfEibZGXqeohy28Lc77FSc8FxOiYTuiHrBG\nAqgVL1ozz2FcyG7ceZoJwkbXICoSo2OPnrvZNY8bX/T6xHlBG3mUG9HIu9pM3C/GctzFDWV3fDbw\neODFIvL4SLNno2uI7kCvo/obAKXUEaXUVUqpq4AnA2Xg1tBx7zT7lVJfajqWRzHPHI4LwVqfZ7VK\nG907T1uRZsSP8Z6ZsMe6X0P1l2gveBw+2Ws9WrWxNNPDPaSKWOEzPtZpBaYVZ4FH0lDJColi0u43\nHjjPr1gBFPaGbrkzuaDdXK5iw0FnD2jxdfhkr/Uomj6MZ80cC1gxNz7WaQWg8TzWxtLajiBstpqt\nM3ugh7pfs7YYb19tLG3FaWZ/B1PFNBNHNiGjGU7O+vacxisK896+ZJ8W3BNHNlG6ftaG6hovY6lf\nX/OpYtoKXiMWN3cU8fyK9RDv2nGc8bFOJvdU7Xm84Yz1NKdmEvYctbE0mf0dOkx38BSZUY90IUH+\n6vsBeN7ub9swZttPIDgzo/pvqV+LZXM9w+NrhvNMOpaVy3/l8g07/3znHesuX/fRtvVtG1fanjXC\nDcBIfij/spU2ZLWhlPqSUurHlFLblVK3NGvbKKFOVMBERU4jURm3P25f3PnCf+PEXtSLFxV2cUKt\nVeJCdcNERVrU1rCQXCw8uJUw3KhdcWK3WajpYp7OxcYfJ9Kbhcq2xrLcxbXZHZVSFXSd0OdF2jwP\n+LDS/CfQKSJbIm2uB44FpWIeFUuZZw7HhWNtzzNpU1YseX6F1IwOIzWeKdCiqbdv2oY/ymgGGc2Q\nLugwTCPspod72LXjOIli0oa51sbS7NpxnKrPAi9iOVe33sqw589gBE01q9dBnrhhPlG98bzV/RqZ\nUY+OvafoKCi84cwCz2KXX7bi02xrL3jW8+f5FaaHe5ge7rHhvGY8lcGS9dIaoW2OAS0SjaAG7c3r\n8rUXr3PwlBWzgA3HNX3X/Zr2Mt6jvaNGlJZzdToPi+0zHFJrBCFgPYhGoJvXvX3TtBc8a7PxDhuP\nqPE8m35mD/RQ6q9Q9bVn2vNyUgtoAAAgAElEQVQr3H73NVSzdRti681oL+WGw3WqWh/bGwrmGhtR\nuzjOM+lYJq749Stu9J/k/4/X4/30StuyBukEPpwfyn82P5TftGhrxyMIZ+eME0JxYZiNQjuj3qzF\nxMdigqRZmOpiawAbeRIX80CG2zQaYysho2E74zx8ccfFnSfO0xh3PcJ/G13rqEey0bgaCcm48TXa\nF4cu8NzW9NECcdkdc4+izYuAj0e2vS4I1/uQiHS1YozDsdpY6/NMnRWqPmw4mAK08IGFXry6X1vg\n+ZrLVbRACdYpJopJ0gXtLTx0dKsVSPmr7yddSDBy7zYroqaKaVJF7NpH0B5CK+ICL5gRoqBFj/Em\n7tpx3B674WCKUn+FzR1FKlmh1F+xgsl4/RLFJB0FpYXRcAbVX7LiR0YzNjzVeFQ9v2LPZUJSjbfT\n2DRxZBNb7kziDWd04p6Q6KsU59cZyqj2ND6l9wFAi8NwmOnkQMKuN7RhtFmxrzfeOp+cx3gu2wse\n7QXPCnKzJtQIYxN+2r3zNKmZhPUStxc8MqOevRHQvfO0TbYEOumQCZk173GimKR9RmlRffNpUkWs\nd9Z4LKu3ddv3bNHPGssy1y4anJg8D2R3Z1OPfctj3+vn/VuTmaTzRq4s/wv4bn4o/4yVNuRiw3gm\n49YhQnxYpyEqTsKvG4VRxnkUwzQLo2zkIQ0f28hTGbWh0eto6G74ERZ4cbbGeTcbeU0bhYyGbWoW\nKhx3bcLbosfHhfjGXddGQrdReO1SPJQK4SyJpg9gk4h8M/R4VcsnaJFg7dXPAZ8Obf4b4LHAVcAJ\n4B3LfV6H40Kw5udZXXSWzqyQ2d+xIItp7z3YtZMm1NKIDBMSap4bQdrbN22POXyyl6qPFVxmvV/V\n1+LFJNsxgsg8D2dGTfaV8WYU08N6feTIvdus13B6QNFe8Bi5dxtVH9tPZn+H9UiGPXFVHwY2j9uw\nTCNex8c6rVfPZKGVUS3cZg9or6UJBTUeu8mBhBVjMpqh7tesh9OEzHYO6jF++b7H2wypMpohM+rZ\nMNPRu7ZT92s21NaMOdlXtt5Yk2SoY+8pVH/JrqEEGLl3G6C9x52Dp+yx5j3w/AovvWIY1V+i1F+x\nwrl6W7f11KaKWrCHRbEJaS1eroX7+Fgn2288ZtdLmrFXsrLguGa0ONcuGVxpkGWm9+d7t/a+sPe2\ndX3rrl5pWxyWXvQ6yteP7Bv5m5U25mKikSBo5v2LiqFWhFGc6GoUrhrXd5wdzcRjs7ZxtsUJrnC7\nuL4bicRWPJhRQdYsbLUVb2bceJp5PhcbX5zXsdH2VtB3cRf9OjqtlLqmyf5Wsjsu1ubZwL1KqXFr\nW+i5iHwQ+MJihjocq5E1P88SSnsAB0swnKHuV8mMelQGK4xfq8MrUwWP7Tce4+Ssz1QxDaHSEcm+\nsvXwTeY8GOukNyh5IaMZNhyuc6Zfn8okfQGdZGYup8XM6F3b6R08xfRwD4eObrWSou7XqBQ9nvor\nw3zuW1fRXvCsiKoUPfBrVAnELElG79pOOzA9ULeexG6/bENOVX/JljIxXkiTUMeEvk4c2UQ9OIcW\nzzX79+Ssj+ov0euXmS70zJcACcJuq9n5rK7GwzuXq5AJ1l9mCgm233hMr+0MRGwiONasjSz1V/DQ\n6zKngmtmMGVFvL75BEdmu/EeZ0Z1uGx43eNf/sczSRST9JpESbmKLekxkU3TOXia6m3ddPhl8Msk\nPryJEzdU2LXjOIf8+Y/syL3bqPdXyIx6lPr1DQZTWqUVWpxrlwyXljReYXIvz92w4boN33JCclWS\nBN6XH8q/Lz+UXzszfBmI8y5CfJkPs72RN2wpIi587rj2cYK2kQ1xAinatplwjrse0WsTN5ZG16LZ\neeO8fo1CjMPXNSp8o7Y2Gkej9yDuOjS7VnHXoJEHOIpCOKuaP1qgleyOnwduDrJNPgX4kVLqRGj/\ni4mE3kXWej0f+G5Lg3I4VhlrfZ5Jm7JexnIuEEW+9u6lZhJ0Dp5i+43HuDJzhokjm/CGMzZ803jS\nNhyuW0/erh3HmTiyyXrK5rJCbUwLS8+v0FFQdBSUTdiTKmJDTM0aTVNKxHgL/+ULe/B87Y3bteO4\nXbtp1k16fsXWsEwVsd7DdCFhM6WasNMNh/Xazt6+aRsq2+WXqWbrqP6S9aJG+24veDar7cSRTVYs\n5q++3wpqwHoNJ45ssh5PQ6lfhwGbdaQmHNWsZzRe34HN4/ZaG++hyfxqEvok++ZFsrG3t2/ahh7P\n5So24Y4JDZ4qpu01NJhQ2OkBZfs78/yy9fgCC8rDJIpJu/7V1J00n4PFWKa5dtHgflQvA9nd2UTm\niZnXdP5k55+1rW9r7baFY6V4DbAzP5T/hZF9I5MrbcxqZmSqm4caeNcaiY1m4qGRZy7qfWsmiKLb\nojY18pjGtWkWitpM4EXPH7Uxuq9Z6GsjWhW4zdZARs/ZynWPEnedWhGlrYrIMPVzvLeplKqJiMnu\n2AZ8SCn13yLy6mD/+4EvAc8B7kNnknyFOV5EOoBnAr8S6frPROQq9M3mB2L2OxwXDWt5nsmsHvtj\n7jjLiR9PMed7JLJ1KsWErRM5wSZO7vRJ9pUpo7OdpmYSMOPRUUhx4ob5LKKjd22nO/D8TRzZRH1P\nlQ0HU0zuqUDRYzYndA6eYnZYl61I5OrBft2Hrl+ovV/TBe29NKGzvTtPc+joVjaA9Z6C9uJNHNkE\n2TqQsKK0nKtT6teCUAq6PMj4tQB17WFFJ87JdxSZnumhyry3b+LIJjKFBKXAq0puPvGO8a7WxtKM\njm6nkqvQG4zZ7EsVATym/DQe8x7cuZzOhHro6FYIQmMT2fkEP8m+MoeObsXrK1Od0QJV9Zd0/cgD\nPbT7QYbdoP3EkU02u211fwe1AUVqJsGGe5Kceb4ub3K4rxcvsDdTSDBa2E4tW2fc9+gdPGW9zSYz\nrzCfxbfLLzPl62tlvMFzQSKeLr/MeNGzY26Fc51rFxNrZ6TniezubMq/2n9719O7/tIJyYuGvcDB\n/FA+ms7cEcKsmYzzNoW9jNEQybjXURG52JrCcJtGnrrw67CdjQTYYkI4eo6wJzYqcOOuS9z54l7H\nXZNGIix87mbeycX6CNsc502Ouw5RG6LXKE6YLibCG6GULEuygrjsjkqp9wc/cAmyS/5qsD+vlPpm\n6NhZpdRGpdSPIn2+LGj7JKXUz0U8LA7HRcNan2eJrBZHJ348Rao47+0zHi6z9nD2QI/1iFWzdfqv\nO4bqLzE9oKz3zISWmgQ0xsNohOKWO/WaS+MhM/3P5sQm8THlKiqDJToKit6+aZtt1oSmTg8oyrm6\n9ZCuf1eXrYVoSn1kRj3rWfSGMzYJT7gESLKvTLqQYPSu7aSKOrPqxJFNTBXTC66B8biGM86asNjw\n696+aarZui3tYdZoVga1GDSex9G7tltPoklMZLLDAtZrGs7CatZAmj5qY2mu/IzQeVhs0p3pQEim\ninDiBj1G/0F9ncza1VK/9pymCwlbpsSELNf9mrUf9FrQqWLaJtrZteM4nq/PnygmbekX46VdjHOd\nayKyTkQOisghETksIm8Ptm8Qka+KyNHg76pICOfE5DmQ3Z1NX/bjl32w6ye7fiORSrR+u8KxGtgO\nfCM/lH/KShuyWhmZ6o71rjVbxxfnVYyGdoZptK4v3G8jIRUWZFGi9jQSv83W/kX7aiSYot7OZqIr\nKvgaeUjjxhc9ttl7E7e9mXiME5yNPLVx70Nc30tBwZpKo+5wrARrfZ7VZ7QArGbrtpyEWUvYew+2\nnqFJvuIN62Qzh45utVlBTYimKaWRmknQvfM0k3uquqTIqBZjxcsTVgiZGpNb7tTnN6GS08M9VAZL\nyGiGyT1VXYexXwsvk+jFJJnpv+4Ydb/G6SemqBQ9VH/JhpeaUMxKUa9DnNxTtecMl0Ap9VdIFXUI\n6vRwjxV04Sypc7kKx27fTrKvTGbUs6GsJsmOCfk0axfNcdVsnZF7t+ENZ2wCIdBey9pYmqmiLrli\nQmG7fO29NHaYLLK7dhy3QjBRTFrhPPaKOWZzosuRHBZbC7TUr8doSqp0DurEPSYU2YQym6y25j0x\noazmxgBgBXvp+llG7t1mbyikZrQH+Mp3YjPSLsYyzLU5YK9SahfwJOAZIvJU4M3AfqXUDmB/8HrF\ncWGuj5Ls7mznhr0bPpLJZ54jIpdW8PPaoRP4an4o/9yRfSNfW2ljVhv5rgkOLuIJjG4Ls5jXsJkA\niztHIxHX6LxxIbXNPHFRz2krYaiN2i5ma5xYjtoePm6p52sWHttIjEZFf7MxxIUUx4Uet4pCLrlU\n6Q7HasPNs/nQzbDXq30mweSA3l8peoyMbYNcfUGYZzWrw0WN+KyNpUmgxZJZf2dCWQ8d3UoGXRLE\n1FOc9D3Gr8WGfZaD/inqUFtzHtU3n3TH8ys2XPQwvTYJTGJMh2qa8FuzNvDkrM/EkU1aJAahnHW/\nRiI7X+fSHF/N1iFIbDNy7zYrLEGLzfbRjPZWFrXYSs0kmChqj2GXX6a6v4PZnPYUVtCeKe3h1NfH\nCMGOnWVKY50MbB7XSW0CAWoS8oST54CuI5koJsFfWGuzHlynbr/M1PVA4GFMFJN09U1rb+ngKSaO\nbKJ752mmydiQ2YlsWh/XN/8em+uk+ksQXA9by3NnGXbq62GSFHl+hf/5JY/eWb+lz9m5zjWllAJM\nUcsUOqR8Cl3D9bpg+xBwF/Dbj/pEy8SlfRvqPJHdnd288ac3ft5/kv+zTkhe9GSAL+eH8q4WaATj\nmVxszVyzEMeoEGoUHhkNpYx6ElsRUNHj4trFjcfQSPA1CieN67dRmGqjcNa46xIngOMEYLPr3qjf\nqK2NQn5bDa+NXrtGx7TCWkqj7nCsFGt5ntXXKQAb4grzCXAMxpMXrrcIWih1+WUbJmmO69h7yh5n\n2u3acZzKYIlyrm7LepiQ2kNHt1rvnPGcWVEDtnyHeQ5aMJlEPJWiZ2tPmtIZnl9h9K7tTA/30HlY\n2Hhr2nrVPF+HeVaC9X4miYx5TBXTtr+BzePWmzmXqzCweZwtdybtOkUzPoDUTRN2mxHCJvFPe8Ej\nNZNYUIfSeDtNoqFEMUnvPbrWp/EQG/Furr0J0e3eedoKWpMYyIj6x9xx1r531du6Sc0keOkVw3QO\nntLrHIPak5s7itTGdBjr83Z/247DJBMypVu8Gf0ZMetg0wW93dTANCG4rXCuZXhEpE1Evg2cAu5S\nSn0X6A2FgJ9EVytYcZxncolkd2ev6Hpa14czj888daVtcSwb64HPBR7K/SttzGqkmTcrLiw1fEyU\nRl7IcH9xa/Sa2dPsuDjvX7O+G3lPG4XZNgr3jYq26PNm1yTOgxhnbzPvX9zxjTyPzd7fuHHFnacV\nsd8I5zFxOM4/a32eSZsKSj3oBDn4NSpZzwoyU/ahHpTxMGIpVfBQvq5XmBjQ6xG3vvT7TN+7jdkD\nPfQGgnI6yKB6KKiK4oW8fab8hTlHsq9MqpChwy8zVUyz8dY049fWCaPDbivUix6Te/S2RDFJOVfX\n2VtnMhDUZewO1vKN5zqDNZyK6WyazsNC6qZTVIppqtnkgnECdPVNM5Gb91CadYjiw0hxG903n2Yu\nVLIjM+oxjj5HJvC8mrInRnh3FBSpm3TOBZP8p9KnhVu10EEqC3O5GiduAK8YSngDC0Rrb9+0FXUm\n1NRcOxnN0A488IIKWz68ieq1dVKDp1HFNH/1lWfbPjxfZ5tl5/w60dvvvsa+N2Hb636N1E3ay+n1\nl6gVk7bGpFnDyhLqTLYw15qW4VFKnQWuEpFO4A4ReUZkvxIR1ZJB55lL+zbUMpPdne277NrL/s7f\n7T9tpW1xLDvrgM/nh/LXrbQhqwWTgAfiE7c08rKF20dFS6OQyvD+RsIx7nWcRzO8L/o6zuY4IRxu\nE+eBbBTu2ex6RAVtI7EYd+6op7DRtWlEI29wmKhHspFIbHSNGgnRVlBAXSWaPhwOx7mx5ufZwwk6\n9p5iy53aj2I8Ue0FHbZqSl8Yj6Tx0lV9LXZK189aj9aho1up+zVK/UGpj9u6bQZVc5xJKJMu6KQ+\noAXOxJFNbLxVi6ipYpraWNrWuQyvlzTeMM/XGV83HExZr6lJLnPlZ7SHdHq4h6li2nr0UjdNUPdr\nTO6p6rWZRc+GupoEOKmZBJs7iiT7ymzuKNK98zTVbJ1Sv147ajyBplxGupCw163u19h+4zHrbUwV\nofce6L/uGJWsMFVMP8LDqvpLVLJi3wMjbI3nMVFMkhnVHtTMqGeT3tz4tG/aa2eyrpq1r4likhM3\n1Ow17vLL1s6wJ3b9u7rse2CurVkjCdhwW1O2xRyXGfXs+xEey2Is51xTSk0DXwSuAcZNGZ3gb2sZ\ngc4zzjPZItnd2W5/t//+y669bK+LbL1kSQNfyA/lnzqyb+RbK23MamAxQRRu10jQhY9tJmrivICt\neBrjbG4kuBqJzbg+F/OQNgo1bWVczdrF2dpsfM1oFAobd76oreFzNbOx0Xtl9rW9YXE7TeY7h8Nx\n/ljr80y1afEmAwm9Nm7vKWYLPdbjdfhkr07GExS8n/ODtX/9JXqDkMkNB1NMDygrzMzawErWI9k3\nq9c4+vMCJDPqUc7V6d55mg6097KarTOXFR0GC1a0VAZ1Uh3tTZzQIjBY28lgiQ6/DEEm1dkDPZRz\ndR54QY1EUYeLTg/3kC5CqX9+HWdv3zRTfprewANqzlMbS0NWr+/0/Ir1StZzWrhWfU/XxWR+vWil\nf15UGRFWKXo85XHf44Ebi5yc9Rm9aztqsGSvzcY7k0wOJOgc1CVPGCxRKaap3KDXi265B+qB13Cq\nmKbka+E6VUzrzLR+mX/5wh5Uf4n20QxzORgvetaz6A1nKOeSdOzVZT/KRzbROaMo53Q4swpE/UOv\nn6ID8G7rZjYn2tsZXPs5fz5U13gfTViwyVI7Orod8Mi0ln/nnOeaiHQDVaXUtIisR5fT+QN0Ddd9\nwNuDv5971CdZRi7x21DLQ3Z3trPjCR3v6vqprudIQtw1u7TpAG7PD+X7VtqQ1UCz9XjR/c3CHeM8\nWFFPW7P1e3H9x/1tNbS2mdetkeBrFs4b59FrxdMZviZx3shm527kRYy2j54/zivaSDCGxWXceOLE\nfdSmVlnLWSYdjgvFWp9nMqpLZ5RzdZs9NdlXpnvnabt+bnq4x3omw2v/MqMe00GYa1hIdvllvBll\nPYmgRVZmVAuUZJ+uDTlxZJMN45zcU7VZVtsLWnCCFlWVrHZYmPDb1EwCGc1ooTl4itkDPdZu0F61\nqaJOIlMN8sMYb+b4WKc9VkYzlPordv1l+JqYMiieX8F/UIeuejM6LNh47doLnn0AjNy7jfaCx+e+\ndRWHjm6dD2kNee8mB+Y9fp2HBW84syDM9sQNNTZ3FBkf67THmdIs2288xsSRTVSzQcmPQPSbzLWZ\n/R2UczqJz/RwD96wHkf7jC4bUvWxazhN5ttKVicNMuM161bDdPllm6G2o6A4GSTdMZ+bVjnHubYF\n+FcROQQcBL6glPoqWkQ+U0SOAjcEr1cc55lchOzubCb9uPSfb3zGxp+XNlm7t/TWFjm0oHzqyL6R\n8qKtL2EaCaBmIiKOuPWCcd68cN9x+5p5Rxv1s5gnM87WuLG36omNE4ZR72Sz69loLHHXopHtUaLn\njorO6P5G9sXZ02jMSw5zxUV8OBznEzfPtLdqekCRv/p+Ts761gM27Wdshlcj4ipFj3a0MDPr57RH\nc9qu45vzPSbG0tT3VOlFe/Get/vbfO5bV1H1gzV5oxkI1uQZr1ulOL/GELDJZsZ9jwzag6q9oElS\n6BDReiC2yrk6Gw6mmM157LruGCPFbTCWtusKTRbYjr16reRcLjjJjBaC0wPz59VCSoeD4teQ0Qxn\nnq89sVPXp20Y6vhYJwTXR4eRJmyZkfaCR/91x3Qm1kCgdRQUk3uqVEna0ODsD2s89PopSmOddj1k\ne8HT9ofLjPj62hw6upX2QMjOBR7TUv98Rt7ZHKQLYq9J5+Bpykc2Ub/5NKkDPdYDa+0HKoMlkmjB\nOO57pAoe1eAmghbJHtNkqGX1utTJPRUIxl7NJh+RsKkR5zrXlFLfAXbHbD8DXP+oOz5PODHZhOzu\n7PpkZ/J3Nly/4cWSlNRK2+O4oFwNfCQ/lP/5kX0jq2KB84UmXGcyjsXCQhuJr0ZCNC7sMnx8s36i\n7Yw9jexcbHvcOFsZW7R9o5DQuP7DbZqFxMYJ5MVsbHYNm9kWPnecLa0I/1ZQCNW6u1fncJxP3DzD\nZlg1JSjqfo1abqGoM/T2TbP+M108kPPIFBJUBrXQmSpqgQLz4aTtBY/Z0R5SPtx+9zU2OY2py5hE\nh2SOowVUIlRvUvUFghPov/o4o4XtAFSywmPuqHHixxN4wxkq/RWmirrcx2xO15o8dHQrXl8ZbziD\nN6OYJUGVNMmgFmT4XLZURlA+Y+LIJmpjacyP2107jnOIrWSGM8yiz+f16fDYXTuOc/yjj7VrHrXH\nUHsJU0U4dvt2MsH1rWZ1MhyvmF6QsOaHP5MmNdwDOV3nsh1s4hsjLo132AhGUzPS8yuUc0kr8lNB\nuKk3o5jNiX0vvL6y9izndOkTk7HWCGzQQnc6lyERrA815wHtVe3t0zcLqj7zNxWChEyl6yvwt4t/\nztbaXHNisgHZ3dkECV7Z/bPdL29b39ax+BGOS5Dno0MIVryGz0qQ75rgTMz2Zl62xcJio20W87g1\n8oyG90c9hHFiaakCKs6OVoRko3M0s3ExoRg35mav4+xqNo44j2V4POF2zcJeG3l0W+VSL0vgcKwG\n1vo8M5lAvf4SXYGAMeGitTFdJqPUX7Gii5+BROCBMzUh60WP2WEdMur5FSpA507tcezytZgBFgi2\nul+DwRIeUM3qMhfGa1cpejp76FiaY7dvpxqspawMlvhhLk1qBqo+1jNnS5aMpQPRmsSDYC3nLJ37\nO5gmjddXZsPhJOPXBqGh6EKFdb/G9HCPrZ+YKmRIjXqcunMb7QMJ69EzNRxnD/Qw6mdIZbFCErAl\nQyqDFXvtTFkPmA93NRl0M8G1NfvDnlkjWA/7vXjDGSh4bDhc50x/4JUczlDL1fGGM2RmFNMD9VAJ\nkSpAIPgI1jUmdMKfwAZvOEPV1x7eWXTIrPYsz382amPpBRl4q9k66eEM4vOIjL+tsJbm2toZ6dJ5\n5sZnbny11+25tXNrmzflh/KvWGkjVoKRqW7gkWsMG4mN6N9wG0OjNq14xaI2NBJL0eMXC88Mnyfq\nIWzUfytet0ZexsW8h9G20WvWyFMY7T+ur0ZiPy5MNdp/XH/RMTQKk10MhVBTbU0fDofj3Fjr80xS\ndSsGKkWdLXTLnbo2Ym0sTbKvbENITf1FmK9B2F7wrEfSrE2sjaXp7Zumels3mf0dVkhWfe0pq/s1\n2483nEFGM9T9Gp2Dp2wdyPaChzecoXvnacq5eY/lwOZx0gUdTjqXq1jbjE11v0bV188rgyUbKmuy\nzlaKHuPXalFrhJdZQ9hRUDpzbCCKO/aeYvxafR4TGpouJOy6UtVfskluAPJX32+9g2ZMxssHeuyJ\nYpJdO45bD214vaERcyZDK+gESMaezsFTTA4krKg1JTrKuTqzObEZYM2NgN6+aetdLPXr9Y7mvd54\na9qeO7z2sqOg63+mivpa1/0a3rBeX1r3a6Rm5kufGBvN+tHFWGtzzYnJGLK7s/2ZJ2Xe1NHf8cSV\ntsWxKnhvfig/sNJGrARxXqhGHqjFPGphGq3La/Y6fJ5GIjO8L84r2eiYOA+b2d8sBDdOaC12DeLs\nC4+rkaeyUT+LbYuOIfo6KqTDtkT7XsyzGv7byJ44lIKzSpo+HA7HubHW55k6Kzp7Z27eO1a/+bQO\nQ+0rW0E5PaCQ0YwVIKq/ZAXe+Fgnu3YcZy5Xobdv2vY9PaCYHlB0Dp6imq1bYbPlTi2iTJKdzqAe\npPHuGaq+9s6Z0iQymuHQ0a2Uc3XrzeveeZrZnJC/+n5Uf8mGmBoP3JY79XrGcCIgIwh7+6Zt6Q/V\nX6J0/ay1wfMr9tztBV3KZHysU9t7WKxH7im9D1hP36GjW6kMlujtm+ZZzz0IaA+kSTDUXtClSEbv\n2m6vXbqQsP0bol5M/8G6FedzuQp1v2bDYJOh2pCmP5PAaDxUCxO06EsXEmy5M0nx8vl1l0ZI6vWQ\nVV3ypb/C6F3brQfVCG8TgrvhYIpKUZePCXtTm37W1thcc2GuEbK7sxu9zd7vdj2t6yddCRBHwHrg\no/mh/FNG9o20VrF2jdFIaLYiiBqJj2brAhv1ERVyrXpLWwnHbRbeG27fSHA1G38jj2mcF7iRvXFe\nw6g90b7ibA23bSRYG9kbtadlMYlQW0PrSxyOlWDNz7O6/k3X2zdtM7ZOD/fgBR42s3YyHax3DIe8\njgcJc9oLnl5XOOox5evw1c0dRcZ9LTJH7t2mxVJBrzksXp4g2VeyZUZMeZGtL/0+h45u1ScOxG0q\nWC+Yv+4Yx27fTioQN55fIXMwxbjfSSJbZ+TebXo4fg3wbHjmmefrdYFhYdWx9xQc6GGqT4fgGu9l\nupCga+8ppmd67OvKYInOwVP2eF2vcppa4Km7/e5rIBB3oAXgxFiaLxfTtowG6HqTk8Ht985BHRab\n7CtT6SMQZHpfNavF6mRQSqVS9JgcSFA9sonk9bMkAnFvhObA5nFO3bqNyQGPieImCDK5mhIgmf0d\nNtsuBB5K39MCf7gH1acTKdX9ml1/KaMZVH+JajaJ6i+TCEKSzXk9v8JsTr93qZkEnYOneKCFj9pa\nm2tOTIbI7s56kpJf7X5O93MSyUT7StvjWFXsBv6QNbp+crG1douFRsZ5v+JCRpsJuuj+RiGbcfY2\nEz3NPKutCq5GAqvReFpdaxjn+WwmWqN9NxrHYm3iWCwUuVHobqucXeNZJh2OC8Fan2eZUY9xOvH6\nSzCW1l49sF5JXTZDURpVgxsAACAASURBVOrXgiNRTNr6jKX+is7+WUxSGSzpMhe5uvZqFeH4wcfC\ngM7XZ7yJVR8rRpNBopzS9SUOn+wFsIldYH4N4eGTvXjoNZPtoxlSxfkMrCYzqQm7LfVXFojjdBGq\ngbfPrNns3nuK0lgnE2ZNoF+hTJpqcIwJ3ZTRDAyWrRd0eriHcTptCKPtL7DB1Nw0az6N6Dvz/Pk1\nqOO+rttpBGX+6vttPc9EMcnknqoVkqDFZ+LDmzhxg0cC7DWeKqZ17c8bKjZZj6mZWR5Lw1ja1v+U\n0QypIqRG5wVuqggEfQE2Ey+5CokgrHf2QA8M6iRFYUGuvb9lmMk8wqPcjLU011yYa0B2d1aAF2zY\nu+EFyWxy40rb41iV/GZ+KP/0lTbiQrJYKGXc2jyIFz/R/WERFhakccIzeu5mAjRuzWBcmGfYzui2\nVgjbH7duMCrOGnlhm50vKljD2+LCV6PXqNG1bBSyGmdbqyG2j6aNwdzFbfZoBRF5logcEZH7ROTN\nMftFRN4V7P+OiFwd2veAiIyIyLdF5Juh7RtE5KsicjT429XywByOVcRan2eSqtvQVRMKWhtLI6MZ\n7ZkreqRummB6QK+lq4e8cP6DdSsoDeHnHXtPsfWl3yd/9f1WwCT7yszlKjrLaLDmbvuNx5DRjBVT\nABsOpkj2lUkXErrOZFGHxJr1faX+il2rGRYzczm9RrF6m85v0L3zNN6MFrMmi6lJtmPOv/HWtB27\nCbk16zGNV9KIy46CsrUyYX4N6MSRTSSKSaYHlF1PCjpk1azDrBT1+lLP15lb60HZkUNHt9rsqCZs\n1XgAE8UkiQ9vYnIgYc/bsfcU6UKCzP4OVH8Jz5+/nuE1mKZWqBGlpf6KXXs5VUxT9fV7mC4kbHhw\ne2He4zg+1mkTD5l1r/MZYPXnpRrKwLsYyzXXLhacZ3KeJ6y7ct1L3DpJRxMSwD/lh/JPGtk3Mr1o\n6/OIiGwFPgz0oksafUAp9dcisgH4JHAl8ADwQqXUVHDM7wD/BzgLvF4pdUezc5hsrnFr+6KvG63D\nM0Q9dVER2cwDGD5XtL+wPY1sCbdptE6wUchoI29lI7vCNArZbeX6xPUR12eUxWxrdRyLhdo2sj3u\n/WyVc61/JyJtwHuBZwIPAsMi8nml1PdCzZ4N7Age1wJ/E/w1PEMpdTrU51bgG0A7cBp4CHiziPwp\nyzTPHI4LyWqcZwG3AI8F5oAnAZ8GbljO7zQeTljP1ZQ/n5Wzmq1TzWrxYMSaETzVbB1v1GP82jqp\nGWwZidpY2tZGTBW1yJtAe99qWZ1wplZMWo/NwI7jHLt9O4f6tRfPhFOmCh6Te6okxtIwWMKUDkgX\nEjbhjYzqkiKm3qVBJ4/Rx2dG9brB3psmSB/ooZzTmVir+zuY3FOx5ztxA7QP95DsL1mxacZpvHGp\nYlDyZE/V1pU0GVsBu74UtBDdcmeSM88P1meyiXpQj3OiqK9HNasTB03u0YJ2147jjBS3US/Oh7fK\naIb8dccYYRvJvhKlQGxPFdNUQol9KkWPzKhH1fdIButSjdCePdBjy5N4fsVm1pXgPT5xgx5raibB\n9ht1XUyTjGguh621qfp05t5KUXsu5wDvtm6S1882/XhFWUs1XZ1nEsjuzmakTV618YaN14pbKOlo\nzlbgfSttBFAD3qiUejzwFOBXReTxwJuB/UqpHcD+4DXBvhcBTwCeBbwv+FHQEJPNFeKznYaJ84LF\nrQUMP48TRlGx00zkNSLab1z4a7Rv065RyO5iIi86hqi3s9H+qI3N7Ihel2ahwY3erzjRutiYm/XV\nLKx4KSxTsoI9wH1Kqe8rpSrAJ4DnRdo8D/iw0vwn0CkiW5r0WQPqwFXoefYE4IUs4zxzOC4Uq3ie\ngRanrwm+034SeNpyf6eplLJJVGQ0Q7KvbL1wqRldy9Gslwsnkyn1V7S4KyjtHRvO2EQ5Zj9ob+DG\nW9P2OWCTzZz6m222nRFi0QynJrzS87VXbfaA9pDN5Spc+RmhUvRsv6kZ7Un1H9RCrerrtaCzB3qs\nZ3R8rJPUTRPs2nEcwHr/zBjMtmq2TvfO0zqrrK8zuyaKSTKjnl1LaTK2GjvN896+aYqXJ2zCIpOw\nxtTzBC0+S9fPWu+oXVfKQtE+cu82K1SNx9Bcq3CZj469p2z9SRnNMD3cY+tCmqRBgA39NcmQNhxM\nUc3q7KzHP/pYm2Rnck+V9oJnH3HlP7a+9PvW3lZYawl4nJjUvKDruq6fSGaSrQdDO9YyL84P5feu\npAFKqRNKqXuD50XgMJBDf4kPBc2GgJuC588DPqGUmlNK3Q/ch/5R0DJRkRQVFc1ETaNQ1qh3LE6c\nRPuK2hEXZhpmMUEaFWWtrC8M2xX+G+2/kYe1WYhroxDcZkI6eq1bEeFRmxt5nOPsatTXUq5dmBZD\ngjaJyDdDj1dFuskBx0OvHwy2tdpGAXeKyH+ZvpVSJ4DOYL4Vge8C3ZzHeeZwnC9W6zwL2KSU+krw\n/BggLPN3WuJhIdlXJtlXtiGeqSI2w2vH3lPWA2bKWRivV6m/QiUr1MbSdOw9ZctnGFFpynzohDta\nRKVmEngziu6dpzlxQ82ucwR9zjf89Jdt5tBkn65raTKHGuHlDWfIjHr88GfabFim9Zj6Feo3n6Z0\n/SzVbJ2JI5us0ErNJGwfo3dtB4IyJvfotZGlfu0RNCGvU8W0rhlZ9Jg90GNFZDlXZ+Otem1pZtSz\nYa6eX6HzsDA+1knH3lNWkCaKSUrXz1qxa8ZgHua6wEJxGy65Ufdr5K++n7lchdRMgg0HU2T2d5AZ\nnU9iZMJOTTbb1EzCikbzPqn+Evmr77fiMJycZ3JPdf5zEYS9wnymWM+vsGvHcdoLHr190xy7fbsV\nvq3gwlzXGNnd2X6vx7sx8/jMrpW2xXFR8df5ofxVI/tGzq60ISJyJTpB0D1Ab/ADGOAkOgwW9Jfy\nf4YOi/sBQPDl/iqAx+SSi3qc4kRUo1DWcB+LCb5o28WET5x9i4me8LZo6OtiIijO4xjtr1H/cXZF\nxxp33RuJxGahr3Hirtl70Wh/o/M3ey/nbflNWqGFkKDTSqlrWurs0fFTSqmCiPQAXxWRUaXU3WZn\naJ5VOcd5FvRn51pbl1uG6bgwrPZ5FnAF0MYyf6e1dXXhDWfo2HuK2QM9iD+fKCc1k2CcTtrR3qcE\n2LV0mSCRi/H4TRXTdB4WZgs6YYvJ/Llrx3EO9Xu0j2YgKEMxnYX0gR7afaxXzIRpvvczP0s7em1i\nKahobkJWS/0gwfk6B3UCnVTBAxJUs9rrF173aQTs7IEeKv0VEtk6BAlwTLKhZF+ZyYH5OouJYpKn\n9D7A54LwVlMCpJzTwrB8ZBPpQoLi5XqtZfFyfYxZ/zg9ULehweE1ml1+mal+dOhu4GU1xyWKSeZM\n6GjwHtXG0hCMyVzH0bu26xDTXIW5nA4vThUDITrjMTvaQ72/QqkfMsNBGZexNI+54ywPvKCmr6Hv\ncZheuneeZqqYpjY2n0jJiELj8az6WqAnikk6DwupnWUOHd1KJghhrgdjMGKzFVyY6xohuzvbDrxy\n4zM3PlnaZM0La8eSeCKwtFg+QEReLyKHReSjIvJzcckLmhx7pYi8JLItA3wWeINSaia8TymlgA4R\nWViAqQlKqQ8opa5RSl1zMrG5YbtGnsBWRVA4lLNRKGi47zghFO0nzksYd/5WwjAb9RfnYW0Wdhon\nSpuFr8YJ2rgw07hQ2Oi1iht/q8IzakMzb2t0nHE2Lcb/z97bh7lx1ufC9zOrGTmSRtGu98uSbexs\nzGqTGMduZJPmSkjtlJCvEjf9PBwC9BQKpRwofU+btrx9udrCCf2gHNqeUmhLoaW0NCWGJIQcsm5K\n6QF7gxPXJKuN49jEluz98K6sGcnRjHae94/fPI9mxzOSNl5nba/u69K10mjmmWdG+9h7675/948D\nS/EtbgFkQxdY625rax/Oufg5BeBhNFSOScbYEGidfRTA1IK50zrj7UzQd5xca12JeOsDOujgPHEJ\nrLM17v9pXwNwMuT/tEWtNe86i3RfgfjOKangeXsGijAboW6J8ByAVMp4gUsSV3eTQ82sJcNmNN3C\noQMbpRoIEPERoTi1jCX7LFo5k9Q0Vw0zPbV4A+mSbAciyKcIvBGqo7CITk/0ynAbofwJopQaZ1It\nBSBbgtQyFiLpquw7+fiL10AxIrDcGkGhEArCbLuEe3aE2qV4w3lS44xqHbcdRc9+FQCkcijUQBFg\no5YVDKRLNFfdkrWSsYIilUiWTyBa0DB+agDxAkfPfhUD6ZIkkrZO5K+WseR1iuuLpKtIjTO8fHuX\nDOcR5HiymJKBQFaO+nOKz1MQzHiBS4tzaYTLEB5h1xXkUzHaowpLtNYuGaxoMgng9vhI/A1an/a6\n5Z5IB5ckfnfzFzb3LPKYXwbw45zzt3HOv845f9C/A2OhX2xsAPBfPPupoD9wv8Q5/6q7eVLUprg/\nX+Kcl9DeHwALsLl7OtTqGEYSxT5htscgkhim0InziJ9B2/3nFfATPu98w67J+zqMyPmPCSNLYSpj\n0DWHXUcrK2wzguy/3qBtzeywYeS/2Tz9+y8KnMFp8WgDYwA2McY2MsY0UD3V1337fB3A/W7a5BsB\nnOGcn2SMxRkjHYAxFgfwZpClFQAeBfA4gC8B6Af9oetfZ4JgLnqdddDBa4aLe519HcC7QP+nHQet\nN2AJ1xqfZyiNkYVT1CMKiPRQr5UxkdfQs1+FWlZg7qpIQqaWFUmOBGkRNZiWQcRH1OeVxvpRyTBE\nC5TQKuo1hQW0lqGgGJZPoG94RiazCmInCJhoXWEZmrSobt52VBJSkeK6ZdNxuQ0gMieInSBylqFh\nzqBtov5TWE6F7dcyNFQyDDxrSlutWlakvXZ2u43SCBGyg4fXoTTCccfVz8uxhFIq9udu4E+0oMla\nR6BhJz50YKMkz9Q+pSJJnWo0ro/lEwsInUi+FfMFSOkU6ilAimsiT/bdxGgcallBaYTsx45eh1bm\nKI1Qcq34fO2kI2294jNdFJZmrV0yWLFkMrk12QvgrakbU29Y7rl0cMmiB8DvtrszY+wzoLS6xxlj\nv8oYeydj7M/c9/6WMfYZxtg+AH/AGHuTG53+LGPsGfc/4AcB3Oxu+1UAfw1gnHP+Sfcb3W8D6Abw\nDGPsZgDvADDIGOsF8DSA/48x9teMsRcA3AzgP91z59z49mcZY3/IGPuBd95+EtdKpQpTvMJqFP1j\nBRGZoNdhJEv8DFMFW6llYfMMm6//dRCRbKYWBt3bIKUv7L4EXXMzwhqmBgv4CWizexA096C5tgIH\nUOdK00fLMTivA/gVAE+Aaoi/wjl/jjH2XsaYuMhvAHgJVF/1OdCXOwBZ577DGDsIYD+Axzjn33QD\n2TIAVgF4H4DbQOvw66D1Bffn19znXwfwc4yxKGNsIyjNcv+ibkYHHVwgXKzrzH3vQQAfACmVq9zX\nwBKvNZ41FwTmiBYgtt6ol1vzXVsGykRdVVGQGEE0vOTCG9gibJSiJo+SYumRGmfoG55B9tYjUoEE\nXBXQbcshwmAoqRW44tPdGEiXZMCMFwcPE5cWbTqqGYd6OOZMzG63YRmaVCJFvSEArHmSftp7+mDr\nkKpkapyhmiES5a0NFKqqIJSJ0bgkjEIlVcsKvvbM9QCwoDWIWlZkKJG4TyIUZ82TdD9jBUWOJcKH\nLLcvp1AkvfdSENV4gS9oSyIg2n8IlRkAhu45AjNrUTsTlzBX9vYjWiASGklXZdBSLWPJ2krFiMg5\neQObWmEp1tqlhMvrahaHu/Wt+vpIMtIqYayDDprhvZu/sLmtdjKc8/cCKIJi0f8kYJe1AH6Uc/5h\nUKHZ+znn14OI31lQit2/u9vGALwdwE7G2LMgsngUwAiA5wB8HvSH7xl37MMAVNA3wdzdf7f73ucB\n/JI77oIa0LDav2bWVHFcmA1T7NvK5hpms2xWOxhEgvwKnfeYINXQPxcvgshosxrEoOsKI+ZB98x/\n7WHnDFNQwz4z8Z7/fvvvjXd8v7IcpIaGXXcrcGBJvsXlnH+Dc/56zvkQ5/xj7rbPcM4/4z7nnPP3\nu+9v5pw/7W5/iXO+xX1cK44FpUr+LIASgAqAXlCq64MAfpwxdhgNggnO+XMAvgLgeQDfBK3hZa+r\n7qAD4KJeZwD93zUIUiV7AexljN2JJVxrzKZE1LdufRa2ToqVNpaAplNtniAkJ29UJaE4eVujr6AI\n7lHLZPmcLKbQNzyDWEGR7UJEfWAi3+ijKFDJMExP9OLg4XWYM2IYSJcwkC5RwuyevgUBPfViDFbO\nRHl9RFou7aSDgXSJAmnyFAwT3zlFLUZctVSoftECtdAQLTJsvdHSw1irUNsMV1kU1z273ZZtM2pu\nzWe3TkRUKIM8ayJa5tDGEvJ6hT3YG14EkA2XZ00YaykpVy0rMviI5ROYHSEKIggt0AgcEs8FkRSq\nY9/wjLy+SoZRfWOZrLLCtjx0zxEZnBQr0D05VdEXKKaC9NcyRNq99ZSAm3LrIe/RAoUVeQlqMyzV\nWrtUsCLrBJNbk2kwvOnKG668frnn0sEljy4AHwfwE0sw1j97/jP8DwCfZIx9CcBXOecnvF1rOOff\nARrV3YyxWwD8Deib3V/jnD/rbj/mGf8lN14djLHfALDBrafUOeffdff5BwB3iwOCCF0YwQsjNc2s\nnkEkL8gW64dfMWunTq+VFdSv6jWz5QaRrGZ20rBrbKb8+ff1jh10be3cm7Bxmtl5WxFev1Ltv29d\nHzrn9OeAku8uvu82/evMh10hx3wM1DOvgw4uKlys6wx4bdYamyeS8M1Ht0M1AP3hGE7eZiExlkDd\nrQdUXTtqtKAhe+sRHHlkSJIjlk9gMkOBNo5Lfip7+6GVOUxDg+baXFPjTPZ2FNZXAEBZkwEydjKC\nuTQRJlUHSiN0DhEIEy1osBGTSqVIV50spqCMcKhlJtuIiICgt9y9H998dHsjVMaIIAJqEaIkHaj5\nBJB0oJU5HZuuIjEaR2mE6hOtJNVIHjqwET3jDLPbbUxP9KJv55Rbm2mjXozh9G43/MftZwmA7KP3\nkroqfsNiBQVVxKChQTAniylEy6T+DaRLMhhH2IDFcaK2tFuvwt7Th9IIR6ygoFTul/WtqkEEWDEi\nFH50eB0UI0LqrNunkulA9tYjFOgj+oPmiBAqrlIqzuuts4RuYc13bdRSXZjcEUNfbgqDcUMS+1Y4\n37XGwnuJfxTAuwFMu7v+Fuf8G6/6REuEi/NflQuPt165/coNXfGuTiuQDpYC92z+wual+GJCVuG7\ntZS/COAKAP/BGMs2O9BNw7sFVDPyt4yx+wN2q3mez2MRXyZ5lUT/doFWdYTivTAF0f8zyN4ZRGSb\n2UCbzbsdxc9/Dv973rFa1SAGkbowJTSMNHr3C1J2g+bRzGLrHcNvk/V/VmF2Wv+1hH0ereCANX10\n0EEH54+VvM64m3ki7Kwnb6tjIF2ClaPWErUMqVHi+aEDGxf0gRR1dF7lz6tejQxOUk1ikmokRaiM\nCInx9jzsG56RyamiBYZIaE3kNangiXpFMQ9py3VrEROjcVg5CqX52jPXo5axMDI4KduNdOtVmaQq\nxiyNkMrYrVdhJRnWPzEPc1cFZtaS6l4lw8hqW1Zkv0ZhSxXtQ8Sc7KSD0giXQUGbtx0FAKma2jqw\nedtRWU+Zyk1B0y1MFhvZgF7bsO0m32pjCcwZMVmvKu4VQBZX/QQptQBZfqMFbQF5F5bkQwc2AoC0\n3q5+OCaVUmGzFUFAwl7L8gmcvFHF6d0U7FMa68f4qYFFp7mex1oL6yUOAH/COb/efSw7kQRWoDKZ\n3JrcwCLsRn2rvnW559LBZYXfBvDTSzUYY2yIc34IwCHGWA5AFmT/0UP2fx2AE5zzzzHGogC2gb7V\nagrOeYkxZjDGdnDO94HCFAAAh+b6cHYRCmIQifEjzMLpfT9M/fOjma3U/34QwQlS8JqRvjCV0n9d\nYaTKf2/C5hR2fDNy3cxO2oqU+sdutb//vrejCrcEx2Vn++mgg4sOK32drXIWvFQMspAykCKYcNuG\nzBkxJNxk1J79KsxdFdR0UrqqGQcD+4Baku6jlavAzAIwGgE+lmv9HD81gG6XwE17QmF41kRprB8R\nV0FUjAiytx6hGki9imrGgVlMAXodPG1BzSckuVpQ7zmWgLnLlORJkMZDBzYiVlAQH66iNNaPvhwp\ni6UCnVPULs4ZpNLNIAGgRpbYdAmTxRRqOrXu4FlTBtlM7gAiaZNan7hzGHD3F8E+ibyGfHkIUQBw\n2530jDvIYwiaW/9YQgIMQE+Bo5LRgGRDkTSzFlB2g29ylpzrgBtABJAV1dxVwayhQZnopR6TaQvc\nvTeJvIahe45gXB9AxP1M1IIGrlsU6LOWAn3MrN1o++J+UVDNOLAAREHb+vQq5nZBhia122fyfNea\n2w7npPvcYIyJXuIXJVYUmUxuTTIA9yVvSK7tWtV15XLPp4PLA5xz23llbf+G3/qX1x/7+H0vLNGw\nH2KM/RgAB1QD+bj7fN4NL/hbX93lrQD+B2PMBmACCFImw/DfAHyOMeYA+Dc06iwXIIg8hW0TCCNz\nrWrwgkim9zj/tqA5hpHZZhbUZuQz6NrCzhO0f9j1BO3rv6+tSF6Ywum/vqDXYeO1+iy8aE6IW/eZ\npBj1lWqU6aCD1waddUakQMuaAMg6KnpOWgCsnAl7rB9WxgJyJrYMTuJUWoflKmhqWSHLZHlIKlQJ\nD8E7dGAjomXFVR81aYsFgERBQXxnCZNIYcDtw6iNJWBlSf078sgQtJwpU1a9/RxrGYt6L5aHJHkD\nyJbpGA2FtJZxW24AsHIW7DGyhE4WU4BbE5oaFW2IVJRGIhjYBxhraUu9GMNcGpJUMbcWUjWAWqYu\nrbcxlxT27FdRyvS797NRhyhU0crefqKpSVJCrVyD+EYLmrTwApCfA5F3Iqx2kiiK6BNpufdZWFrF\nZ6IagO2SdEG4T1X0BvlzFWfL0DDgknvli71uC5GIDGKKD1dRneiVFlqepWsYuecIjowlwHULje6Y\nzbGUa83XS/wmAB9w3WdPg9TLuSU50Xlgpf2rcjWAzYlrE00tgx100A74PLfOvjw4ZeY/ZFWPfeAW\nOKt+teUxnG/gnM+4z/+Wc/4r7vN3cs4f8uz3Ac75dZzzN3DOf55zXuOc25zznW54wZ/4xv2Cu/9W\nzvnNnPOj3vNxzo9xzq/z7P9HnPOPui+fc89zPeibsKeBRmsQgSBCB5xrf/QTJT+B8x/jHd+rRgap\njmFqWCtF1Itmilw7xwaRt8VaZf3zDCK1Qe81I3JhtYz+5/5xm1mOm9mN/dcZNFa74FhZMeoddLAc\nWOnrjFUU2YpDQPScFMpTz7gj+y4eeWQI0xO9si+isIkKIqkYEUmehJVVKHlrvmvLc2zZdBwAJAks\njfXLlhbiuGqGeh6KthYiJVUEAx08vE5aZAUBE8pgfCfNS9heAciektECEaotm45Te5EMg3rvNCoZ\nBkev4/RuSjH1JtJauUbIjGhFEi1QL0Zv38zSCP2UNaHuHDZvOyrDeQCyzHoTcRUjglqGaj151oSj\n1zE90QsrZ6I0wiWBlsE6e/qQGI3L6xaW1jVPRmTPyVRuStqGFSOC6YleDKRLCz6zDQ+RXXUwTp7a\n9OejMp21XoyhsrdfWoitXCNQ6dCBjfIetWtzbXOt9TLGnvY83uMfJ6CX+F+AugKIv9f+uK0JXWCs\nKGUSwI9fMXSFHtE7Ca4dvHo4Nq/WTgyV7ep9/UxZ7a3Gvn/DA4995NiDd51etsm9OtzFGPtN0L8H\nPwTwzqCd2lXzgo4R+3kRphK2snk2s1j6VbxmZLWZ4uZXUP3b/c/D7lOYKtsM/usLIudBx7QaK2js\noOPbsew2+8y9OPKz7QXwAMD8ZRaV3kEHFyNW8jpzNMgaO4DUMMuISeUuWtBclY5sl4IM1Ysx9A3P\nYHqiF9PoRc84k+miKFP7DUHGLENDT4Hj2E9x9OznSOVKZDt1z6npFuwkpb0K0ibqFAEsqPnzposq\nRgQWgElDQ8KgAASRwjpZTGGLGzJTGiGCuvrJCE7vtpDKUcjNkUeGiBSCCLQj0mvd/pJey2rPfpVa\nm5Q1qVLyrInZjIaePX1Q752GMtG7YK6WoYG5RTinKjoi6SpGBieRLwyBZ01SY/WYJB0irZbCbigx\nt1uvolQmhREusZ+FhtKII5NoRbKsucuEYSRkj89Kvh+q3iDzPeMOZstU67ll21GMnxrAy7fH4OhE\nDvvun8GxYgqKQWFLqdwUSuV+eQ9YPoGYAVQzpN6e3m2h7qb0tos21toM5/yGsDeDeolzzic9738O\n1Ad52bFiyGRya3I1gBuSP5K8ernn0sGliflXUK6duK5Wr+3uZUo8xs79dyIG4L24xJIcOef/BOCf\n/Nu9NZNhZCMI7dTN+UlNszq8ZkQp6HUrUhtEKMNIV1h9YhCRaodQt3rdyhbs3ydM7Qz6zIJUXv+9\n958/6DPxbgsjm4sFX+m1XB108Bpgpa8zNk9EKlZQZF2iYkSgue0iahnAdgmaIHKC9JXG+qGCFK7Z\n7aQOCuXPSzBsXZM2TYBCafqGZ1ApNIjKwPAM5tJELxOjcZi7KrKWEiCS6LWtdqdLqOzth627pKdA\n32GrZYVUuyTDQaxDwgAABTVdw+wItcSYy5K1VyioANlGRVsTe08fzF0VUjTvpWsojTT6N1YzjrTb\nRkGps46bBCu2qQYRc6ThEm66tkPFjYCbIjt466RMbnX0urznjl6XSbKlcj9UA6i6BNNYS5ZhNZ9A\nfDyO2e02zCykmhvfOeUmyjrShlsvxuBkLJzOUtuXWqZRQypsspE01ZJqWROa+/lOT/RCBc1fWJW1\n0TjMbB2zIzSuWlbO6fUZhvNda26PY9lL3LN9jVtPCVB7tx8EHf9aY8WQSQA3diW7otHB6LXLPZEO\nLi3UK8rp2ontUo6ocgAAIABJREFUbL5+Vw9TVASQSC9+ecMDjz147MG7LtvecmFkI4wchhGPZspY\nkKWylTLaLknzzqmZWurfHnQfmu0TRFCDxmhlTQ0imGHHhM3f/36YFbcVwj6HsPvZPrlkmF/htVwd\ndHDhsbLXWVe87qaCNv70dfQ6Vj8cg3P/DKATyeBZE1VQuwpbJxVtYNzB6d1VRF3Vi+oAKWk1laOe\nhqLeURAaO0mq1iR6oeqQNYRwW4JUMw5mt9sy+AfAgtYaACl+cwC63fYcos2HIHvr3vYSTlV0VCd6\nYWYtvHXrs3j8xWtgJyOyp6KwZqouSZqe6IUizjXCgSK1IEExhQGXuFYzDuwkKYLaWALveddj+POH\n7nLrTEuSfPGsibhrGxahQt16lVqAuEm0dtKhmlAAdU/7DUcnAlgacZAaBwBqTRIrKOj9AcPMdZDh\nP6IFiFpWEC+oqGQYtWnJNdq0CIgwIKYTMe8bnkGp3C9Jv5Wj/pJww5ISYwlqF1JOyBAgDYCVZNS+\nRI8hNpaAVuYNRbolznut3QTqJX7I7SUOAL8F4OcZY9eDyjKPAfil8znJUmFF/KuS3JpUAdye2pHK\nMIV1Lfd8Org0YJ9RJ83x28pnX/74ase5t4cpajuHpQG86QJP7TWBqJlsZfP0kpEwldH78NcnhtUr\nBhFWL7zHe0mN3zrr38c7tp/oBil+QaTYf03+eXnnEDS3VoTQ+9N/D5oR4iBy2Oz++ecWdo/95DPo\nC4KwLwHaBees6aODDjo4f6zkdTY/T3/yijo5YXmtJZnsH+i1nKoGvY4VFBhrFVfpsnDytjoqGQae\nNaW6Nz3RS9ZND7Fx9DpO3laXdXi2Tkrf9ESvVLgG0iXYOilik65S2jc8AztJ9kuhwpXG+pHKTcn2\nF5F0FancFI5/6SrMGUTMFCOCf//LHFk0CzRfy9Dw4Ru/hagbpsPyCTg6zUnMUZC6gXQJg3FDtvQQ\nZLSacfClH+aoPjJnwt7Tt6DWcHqiFyU37EcbS2AwbsjzRdJV9A3PYOieI7LtSrdelYqkILqVDJME\nVitzvHx7l6yFtJOOrDu1kw7Wve0lAKQei/ut6ZY8n7DD1jIWYgUF0xPUBTC+c0oG8Wg69bnUdEt+\nYSCuVbZycb8AEKhk2ILfj1Y4n7XGOf8O55yJPAvRBoRz/nbO+WZ3+094VMplxYogkwA2gyFxxdAV\nS9ELsIPLGJxzWDPxk8ZzP1l9pfh7Axy3JV/FMD+75BNbBhya6wut/wOCSZZAEJHyHhdmUfUi7Hxh\nSlrQuN5xmqln/jGDiG2QGue/L83GCiLVYfbTVvAT8zAC3A4RDxrbfx7/sc2Uaf8+7YBzYN5hTR8d\ndNDB+WGlrzNWURbUTE67yZ1WkgJiBuOG7KMoyBJApMLMWjLcRShu3a6SObvdhlpWkBpnkogIKEYE\nA+mSJG+RNBEp1SBiVdlLdX0iUVSE0cQKigyVEURHEN5uvSpJXLTM5fuxgkJzMYgUCZvup/7PHTIo\nRzUohRUgAtazX4WmW8jeegT2nj7knxrClb8bk2E39WIMkXRVErJuvSqDd0S4TSRdhe2qpVbORP6p\nIaiG2ybF0DBZTOFUpeEPrezth6ZbUuVz9LokfgLifkwWU4gVFIyfGpDvjZ8agGo0alo1nUhsvRiT\nZNnMWnj9X1kL5ieU40Rew8jgJKYnepEYjUM1IO93rECff2I0DjtJ91AQ1lrGkgS7FVbaWrvsyaTb\nDuTO2OtjiU47kA7CwB3u1E51F83n31mrTf+/a6Bsj7U+KhT3bXjgsUveQt5umqsfQWpcGKkMOq6V\nZbIdhS9onCBy04zw+McNUzfDCKh3P/+cm11fK0tt0D30q7FBVlTvMa3uvfc8Yequd1vQvW7f4kpY\nyc3UO+jgtcJKX2dC4RNJoUJtA4D8U0ML9q1mSIVK5aakRZJslhyxgoLJYgo8a8p00tnttiR2ibwm\ng22mJ3qRyGuSHAo1TJzDS0J79qsY2AdZxwdQjSO157DOUcaE8qnplGq65smIrHOMFig8RxCggXRJ\n9mhUjAhYPoHZ7TYsQ8OhAxuh3jsNO+ngh3eQtbRejEmCt3nbUbKkjvUjVlCQyGuYM2JIjTNYhoa+\n4RlE0lV061Wap964B2JfAFjzXZtI7mgc8QKX1yHqRAGytIrzi8Adlk9g87ajcjsArHkyIomxmSUy\nKtJvowUNL/yiJj9DAJIUVjMODh3YiEi6Ks9l5UxMFlOwdSKnYrtI8tXKjTrSdrGS1tol/wdvG1gD\nYCiRTVy0zT47WD7weW7VTqZnrNLuPta1Pr1EX6+sBrALwBNLMtoyQQTwCDQjS0HvN7Nyet9vR6Vs\npVwGEbEg+2eQqhb02q/sNSN4rd4PGi/M0hum7rVS+YJsqEFWVO8+7ZDwIHWzFaEM+1ybgQOXvcWu\ngw6WGyt9nTka2SSnJ3qRKjRqHlmB+g9OG0TeFCNCYThu6ArQCKKxEUEpCUTSFTdkR0PMAAAK7EmN\nM1hJsmyqZQU1HUiNMwAcg3ED0+iFZWhQkvQ+qYkWBvSqDMOZNTRE8wms/66Nl2+nyiwrZ1LNodv2\nAoBMmHX0uuxZefI2UkA13UIt4wYF6UTqSmP96ClwmLtIYRPbRSBPaawfTsYCT7s1lvmE7A15qLhR\nBhDVALx167M4+NtbUV5P99be0wdru4059/6pBs3ZMTSqUS3GgKSDkzeqUAyqFdV0C4pLDB29DpQ1\nbN52FAcPr6M2J/tVWEnIgKBDBzbKz9LMWrB1TfaW1AAM3XMEhw5slJ+TaGdSKScQyTZ6XIpziPsU\n31lCdaIXiYKC3h/YeDkZw4B7b0UwkuyJWU609bu20tbaZa9MArgOANfWaCPLPZEOLh44Nq+ePXrV\nKSP/6xHb+GCada1vqyByEbjkra5eZbLZz2aKmh9B6lfQ6yDi2UrpakdZ8/70H9PM0hs2vzASGHRc\nmBoYZE8Nmlurn2HWXL9S3IxsNrOnBqmNQfZf/3W3h+Z2oMvNEtRBB8uDFb7OFFLCYgWF+i269kY7\n6aCyt79hQXWtrgCRT2F/TeQX2l8BIF7gCyywgkgK9OxXES3TeU9VdGzedrRRk+faKIX1tpJhDeXS\nJV6pcYY5g2oxhYUzVlCglhXMGWRBFUrnmidJH1KMiFTvUrkprHky4hJaUv1YPgGWp7YakXQVlb39\npAwmHSTymrTWihrIgXRJ3idNpwTbbz66HTPXUQprIq+hkqGwGtHnEqCkWmHddfS6VBbFnOseIinS\ncQ8d2ChVU3NXBWaW+oIKK7HYX9MtaaUV9/vg4XVIjbMFVmZzVwXZW49Q8qynTyXgKp+jccwZ9KWB\nlTNx8kYVsYIildRaptG7czH1kittra0EMnnzFRuviHSt6kot90Q6ePUw/tPACw+8gBd+/QVMPzp9\nzvuccxT/vogXfv0FHP7IYZw9dhYAUC/X8dLHXsLh3z6M8vfLmH8F5eqL100ffXBV7JXp+waZsvpC\nrYHdGx54rP2GRBch/DWTrUhGmKoWtN2v2vn3E6+bETvvfkE/vfPzP29GWoMUTe9z7yNIsQsiid55\neY8NInWLuQb/Of3nCyO2/usL+ozDrs3/mfiPa0XIw7AUwSCMsbcwxiYYYy8yxh4IeJ8xxj7tvv+f\njLFt7vZ1jLF/ZYw9zxh7jjH2Qc8xH2WMFRhjz7qPO9u+qA46uMiwoteZw+DodZmcqpU5bB0Y2EfK\no2VQCE0tQ7WEQjk88sgQUrkpsqS6dYKWoUlrq7A/xgqN1hHCHmruquDkbXVYSbq3Bw+vk30rYwWq\n4RThOz3jjhw7ViA7rbmrIu2eguxVMw6ytx6BZWgy9Ec16LyabknLKUCJrad3V2ElKTBIBONwV6mr\nF2Mws0T4UuNMKrACtk7WYP0EbR8ZnJQtTASJs3ImWVv39KE0wqGWFZlUK6DpFg4eXgc7Sfe5W69K\n8i7IdbRAZF0tKzKYR9xboXZ6g39svfG+fsKRpHba7YEpyOaRR4bkeMJaK0iulWSSONeLMbovru1Z\n7CdUSbWsvGYBPJcaLmsymdya7AWQiV8TX7/cc+ng1YM7HMW/K2LDhzfg6o9fjTP7zuCVwisL9jH/\n04Q1aWHTJzYh884Mil8sAgDO7DuDnh/rwet+bdPpyYdr9cqR30sa45v6tMHXI6KvvpDTTgF48/kM\nwBj7K8bYNa/y2A2MsfPuP+RXx8Lq5sS+4nWYVbWVkhlEyFoRyTBra9B8gmr7vNuD5uF9P4yg+UlY\nmFIYpGo2s7L6ya+f9AXZUIPssX4iG2Zx9Z43jOi3o0AuhkQCIqxAafpoBcZYF4A/B3AHgGtAEer+\n9XMHgE3u4z0A/sLdXgfwa5zzawC8EcD7fcf+iTdRb1EX10EHFwlW+jpjKqWCTk/0khqZYYgX+IK6\nQxHKU8kwpHJTsHImqhkHk0XSI6YneiWhESpd3/AM+oZnUM04sp5SEC1tLCF7Vopj+oZnMBg3YGYp\n9AcgUmSsVeRzAIiWuUw+FccDRKjyTw0hkdew/on5BbV8lkH1iasfjslwnW69KhNL33L3froX+YRU\n8LZsOo5oQcPsdhuxgiIVPKCRaCvmdeSRIViGhjXftSXp9Kp+A/uoXYhaVqT6KFJXNd2SyuycEYM2\nRsdpYwlJ0msZS5JebSwh73kkXZW9NwFSJ1O5KaTG6QuCyR00X9u1D1uGhvjOKVlLKpTM0ghfoFxa\nOROxggLFiMjwHRFwtHnbUbIku6ptvMAXEO1mWIq1dinh8rqac3ENAETXRDsW10sYZ186i+hAFFq/\nBiWi4ModV8J4xliwT/mZMlI3pcAYQ+zqGOar87BLNubPKuXq0U1nqz/8yGrWNRABFBhPfw3JHfe9\nFlM/L6sr5/wXOefPL9VkFovN3QsV4DDVKmxbmH3VT1KCSGoQeQsjNq1IW9g1BM05jFx63wsjxM2U\nwiBy5yeF/vsTti3oWoKuK2iei7le7/YwItwK7dtc6T/fZo82sB3Ai5zzlzjnFoB/BPBW3z5vBfBF\nTvgegJRoAs05P0Dz4AaAcQCdOvsOLjus5HXG5xnGTw0gNc5kwqe3b6BIcRVBN4JAAkQCYwVFtuQQ\nVkzVIOVOtJCwkky2wBAkzMpRSI8gUKWxfplumn9qSCqgIiynb3gG+gnqaynIrbCk2joRPGGvLb6r\nhoF9pCDWkkwSuNkR+vNepJYCRMC+9sz1UskU6bDjpwYQL1DAjJm10DPuoG94Rs4dAIy1CjZvOypJ\n7ZaPPQPFiEA/Qe08VIPI7+QOIq3xAoXmRNJVOYY2lsDxL121oA1H9tYjUv2MF7i02YoWIY5eR9/w\nDOrFGFSDQn169qtQjAiUL/aiNMIRLWhIjTOpsMYLXJLbbrcHpub28hzYR2qtIPn1YgxWzpRqKtAg\nr/mnhmSI0uZtR2WdZ9u/b+e/1i4ZXO5k8iZtUFMiiUh/6107uFhhz9lQexoljZHuCOw5e8E+9bm6\n3Idzjq4rotaZp296Jbr+k8mzR4wrpv7pI0i+8WdgHHgM8Wt3QlFXvRZTv2PDA4+15WVgjMUZY48x\nxg4yxn7AGPtZxthTjLEb3PdNxtjH3Pe/xxgbcLcPua8PMcZ+nzFmBozdxRj7Q8bYmGs5+iV3+xrG\n2LddS9EPGGM3B80tSB0MIhd+1SzMzgqcq/A1IytBllD/+N5x/ceL7UHz884rSOHznytsnzByHaTs\nBs2vmd231b33zzNITfX/bOfLgKBze/cNIravVqHkYHAcpekDQC9j7GnP4z2+YTIAjnten8C5f6i2\n3IcxtgHAVgD7PJs/4K6dv2GMdbd1UR10cJFhpa+zrgolj85ut6Xi5+/nCFDtYSRdlb0NYwVF2irr\nxZgkjnbSWWCZFTZXv4pVd4N86sUYqhkHtYyFyt5+2QuxlrGkvbRejFEQzv0z6NarSI0zqcZZhtZo\nV+HaZlk+Aef+GepB6aaeCiI7u91G/qkhafkUCiaFzkyhlrHkHK0kk7WLgsQKCMts/qkhCs0xInj8\nxWsQSVcxuYNIajXjSAIr9o8X+IJ022rGgXrvtLwXgrDxrAk76aA0wmUqq6PXse5tL2EgXaL74aqz\nVs7Eure9JOftrWHdsum4TN3lWROVvf3yPsd3TmGymJLqr1CcZSsY10I7kC5hYB+k9VXUyoprZ/l2\nA3jaWmuXDS6vq/EguTV5JYCr48PxC+pl7ODiQaO9xztq3NmoQdm8SonG0f/TH8Wad3wK2uDVOPvi\nfsSGb8Lpxz+N6Yc/jlph/EJOaTVcdbwNvAVAkXO+hXN+HYBv+t6PA/ge53wLgG8DeLe7/X8B+F+c\n882g/7CD8N8AnOGc5wDkALybMbYRwH8B8ATn/HoAWwA86z3o0FwfgPBWFGH2TC9pCVPivMcFqXlB\npCSobq/V8X4lNAh+otlMCWw1Xhi5bEWS/XNtpgB69wuz1/rvl/8+BpF///z91xJmG26mgC5KmWzx\nADDDOb/B8/hs24O3CcZYAsC/APgQ57zsbv4LAFcBuB7ASQB/vNTn7aCD1woreZ05SQdv3Ur/zQlV\nTihZLJ+QdsbJHRQek39qiAJxylwqkpF0FdWMQ30J3VAbUa9oZi3Zi1C03xBql50ktU+QE28fyERe\nkzbbgX2QgUCVvf2wXLWR5ROybYho+ZHIEwmanuhFZW8/JneQDTRe4OgbnsGaJyMyREeSXle5rOzt\nR7SgYcNDTFpCowVN1hk6ep1ssmMU1iPURUHCRa2mo9eRyJPVV5AvEV5UyZACLF5H0lXZTsXR6+jW\nieQKYimCecwsEdZDBzaisrcfPeMUbiTuw6EDGxEtaDh5W10S7dntNk5VdHmdABDfSXWuoo5V04mM\nbtl0HNoYqaai/lPUfU5P9GJyB2S7llrGkp+rUEfbRRtr7bLBZUsmQV59Fh2MduolL3Go3Srs2YYS\nWZ+rQ+1uKJV8nltQElXj0I9xa+430lCuidaN0+jy1USe+Y8v48of/RlUnv83RNdei9V3fRil7/zD\nhZ7+LW3udwjAjzPGPsEYu5lzfsb3vgXgUff59wFscJ/fCOCf3edhF/NmAPczxp4FfQu8GrQ+xgC8\nizH2UQCbXdvROQizkga9F0bmvPs2U8z85/Qre/45hBEh71z821qpiN55htlYg+6F/7n/vGHHNruX\nfkW22f0Numb/tQQpvN7jguy4/uvwnzfovrSrSEpwgDus6aMNFACs87xe625rax/GmAr6A/dLnPOv\nyqlxPsk5n+ecOwA+B7L5ddDBpYcVvs64reDxF68hZc61VA6kSzIopm94Bpu3HaW01HunJXksjRDZ\ntPf0SZXRypmwkpS0Gt85JcdQjAi69SpYPiFDeIR1dbKYkuQnkq5KUigIZ70YQ//7KPHUypnSUioU\nydIIl+pf3/AM4juppjOSriK+c0qqdbPbbZTGiFwKpa6ytx99w6R2ei2dovWIsJmKPosA1RcKJVUb\nS6Bn3JEkFKCxowUNtk7WURESpOkWSiNu0I1b92hmiYwJdTSRp56Vtg7Z2kQbS8gQJGH9tXImoqV5\nqQ4LMudNlq1liJQLUi16Zwp1NZWbQmmsHyyfQL0Yw/ipAZkS61UaRd2k+DIAoHshak/FFwnt/bIt\nyVq7ZHA595m8BoAV6Y68brkn0sH54YqNV6A2WYM1bSHSHcGZfWew9r1r4di8WjsxVLar9/WvGnpJ\nM77/KOLX/iSs4gSUaAyRRI8cw54tYN44jVXr3wBr6ihYRAMYwOvt+99fJW5BI3wgFJzzF9zEuzsB\n/D5jbNS3i825dNnPY3FrlwH4AOf8nL6XjLFbANwF4G8ZY5/knH9RvLe5exr7A4iCn0h4t3sRtE+Q\nAugfM4gE+s8f9LoZGQxSHMPm4B/Dfy1hJCpIdQwjw2GEN2i+fjRTb8OO8V9fO+81U0WDzhs2T+D/\nCZyPH0uQbjcGYJOruhcA/BxIfffi6wB+hTH2jwB2gBT7k4wxBuCvAYxzzj/pPUDUerkvdwM472Cr\nDjpYLqzkdcbmiZhFCxqsJNXs2WP9gBv6MllMoVToR88JB7Oucrl63EEtyWAlaQxhZbUMDcz9aY/G\nobnko25EUNnbDxWetFN3n0SSIb5zCqVCPyW65sh6qRgRKAa17xhPD0AtK+BpIlwisTSSriIxGsfs\ndgqTeePAMTzy7RtkjWcpn4CWNcHyCWmdBQArRz/rxRiqbk/KhAHUMnWoBQ0A9cKklFVFzlcQKwCw\ndc1V+Mg+S/WJVdhuz0XVAGy3ftLM1sl6m7GAskaKpkeZ1MYSqCIG5EyMDE7iVEXHnBFDNUPXrxgR\nqmnMmojrVfR+uhtn//sczGKKVEtdkwTZLlNwz2QxBf2EA0CB5rZh6dlPgoO5q0JJuW4yruMG7AwO\nTuLQgY2IuXOvi36bego9o3GZ0uvodaj3TiPhSaptF5dbYmszXJZkMrk1yQC8QV2tznet6rpyuefT\nwfmBdTGk/2sax/7oGLjDceWO7ppz9obyya8kehnTYvrW1bjiqh6cPfI0ip99N1gkitV3fmjBGKVv\n/x1St7wdABAfeROmv/r7KH/vIVx589su9PRvamcnxlgawCzn/O8ZYyUAv9jm+N8DcB+AfwL9px6E\nJwC8jzG2l3NuM8ZeD/ojoBfACc755xhjUQDbAEgyeWiurynhAs6tiwxT0LwIs1+GWTvbIVRhYwo0\nI3RhY4QRvWaELWzsVoS6ORkLHjvoHrRzT8M+s7DrCiLFYYQ86Lh2cb6BBJzzOmPsV0C/710A/oZz\n/hxj7L3u+58B8A3QFzYvAqgCeJd7+E0A3g7gkKvgA8BvuYmSf8AYux7kTDoG4JfOb6YddLB8WOnr\njFQ3TSZ81nStkTpaUKi2LtmLWIFCbcjySEqhnU/ATjrSArrubUdwqqJjeqQXfXpV9n00dU22kqhl\nyLJZGuFwdBtmMQXFtbyWxvqhuONFCxpKIw5So3GURhzExhIwsxY2PMRw9r/PYc6IoZJhrhIHfPPR\n7XAyFnjawpqHY5gdIcIYM4CUW2eoGkQERbqqUPPMLN2L+M4pTE/0SrXQypkL1ENRxymuRRA3QJWK\nnp10YCdJXZwd0WTrkZ7ROKwkENerqIwl3CRWQOTEdutV2e9RkDZzlwXHJfs94xGc3g2UblRhT/QC\neh3pz0fx8u1dkqQ7ep1ssGUOYy0jNdc9fna7KxS4xLg0wukzAqmo0wal8tp6g+ROg85TGiHVWtyP\nyt5+VEecRRFJ4PIL2WmGy5JMArgSQM8VV10RW+6JdLA00LfouOLqK0/XTuTYfP2unnlb60tua7zP\nGMPqN78v9Pi+ex+Qz7viKQy+/Y8u5HS9WLfhgccGjj1412SL/TYD+EPGmAPABvA+AO1M8kMA/p4x\n9tugOku/PRYA/gpkiz3gfjM8DeBeALcC+B+MMRuACeB+/4FhKqT//TAbaRBhakYEg2r+/Iqi99xB\n82x2DWFzb0bwgubSjEgFbW9HhQ0b3ztu2DlaEVT/e0HH+z+TsPvbTIFu9rvSDJwDfAkCCdw/Sr/h\n2/YZz3MO4P0Bx30HpOAHjfn2855YBx1cBFjp64x3UWCNIEX1YgwDrv1UgWstLabQM05KpFT3khpY\nPkGkLJ9AfFxFaYSj8tQQBe1stxe0DFGSjjxW0y0w14oJNIhTaaxfbvOikmFQy5QIm8hrePl2B3AV\nRS1roluvynpPgGykkzscAI3kWP2LvbB3OKhl6tiy6TiOf+kqzG4nK6g2Hkclw2R9oFpWwLMmVj8c\nw8nbNCRc5TVe4LK/osCcEZNzFKRaqKc8bcFO0rXB0OQ+9lg/bLfGlLtEVnHV2zUnGqE9akFDNROB\nlq5CNSgEqF6MQQWRvW69imM/lYLi2lzVsgLVtdjaOpP3AjkTqqHBdpVeK0kpr97rEKqrd7uZtbBl\n03EcOrARgKsqF2NyPxEE1G6fyaVaa5cKLtcrXQuARwei6eWeSAfnD/uMOmmO31Y++/LHVzvO7h6m\naK0PurhwQ6sdOOdPcM7f4PbXynHOn+ac38o5f9p9P+HZ9yHO+TvdlydBX/a9DOAAgIOMsW8B+BaA\nk4yxbs65wzn/LVBN5SoAaQBv5Jx/gXN+Hed8K+f8Zs75Uf+8giyj7RClMEVObGuHbIRZTL0EKEx9\n9NtU2yU3zWyeQSQ56PgwgtlsHmH2Vj+RDSPqrRA232ZzE+cOGz/o3ovnzY4Lw8Uco+4mIj/DGHvU\nfd3DGPsWY+yw+7Pbs+9vus3aJxhjty/frDvo4Fys9HUmWn4IUidabwh1as2TEUTLHPoJSnlVjIjs\nbyhaVpDKSPWJpREuyQnPmrLPZCKvYc2TEangabqFNU820lQFFCMiaw37hmdksilACbH33PK0tJuu\nfjgm25WI9iRCPYykG8E4syMK1DL1Tsw/NSQVTVun1FahloprSIzGMTuiLAgMEgFCoi9lLUM1hoJ8\nidYh1YwjQ3vE9SgGBf+I6xHzFyFHIu315G11V9l0ZDsVlk+gmnEwMtj4/p3lE1JBdfS6HK+acZDK\nTcn7Vc04sAxSFB1XYQQg1dLpiV5Sbwtkh9V0sjeLz+jg4XUySVacQ4QkLYZIClzMa22pcbkqk+sB\nQO1RO33CLlFwzmHPxk/WTt1+JZQdA/73nVdMnH7807BmXgYA9N75QUQzjXai86+YOP2NT6FeOgUW\nUbH6jg9C69uA+eoZTH/1Y3BqJlI3vx2x198IAJj6l99Dz5t/GRH9goT/3gDgsQsxMID/CVIdhwAk\nAeQBvMQ5f5Ax9gCABwD8htsY+ucAXAsik08yxl7POZ8PG3hz9zROI1h5EghTGb3b/AhSz8LUumYK\nYJCC2Q4ZbMeS6Z97GLENmnsYWfYqgn4FMEx1bJfc+s/TTB0OUxBbqbNh5w5Sjb37dC10nIfgog8k\n+CCoJ55bOYUHAIwuxTrroIPXDp11JoJwIumqTBGt6Ro0EBnRTxDJ0XQLidE4KlAo9KWgSTIhSFgt\nY7l215fCHaxxAAAgAElEQVRwCBsRG0tgdrslCZMBssXGCgq00Tic+6fhFFOyP6Xt7melAdUlTAAl\niZq7TFSQwL//ZQ52hmoAT++uAEZjHgP7gNkRBTYigBtGoxpEQq0kA89WYSOGvuEZTE/0IlZQoJ9w\noJ+IYHZEQWq4hGmjFxUoeMvd+/H4i9dIwtynVzGXBka/vB08Z0IpukTWDbuZLKYwkC6RBTTjyHNX\nMw7WPzGPkzdq6PkDjjd++Xn8+2gOyZfrKK+PoJSETIdV3DAjnjXB07RdXNuRR4YQQ8N6K+y2NiIy\nnVUtK1Rfma4Cbv2mYjTuBQAZYhTNJxDJmrAMTdp8B9welJMZ2lfTLegnItDKKsxdJmJjCcR3ljCn\nxxbMoT1c9GttSXG5KpPXADC74l19yz2RDhYHb3uP2tTvrIGyI9CqPDv6Way66keQefdnkP6FP4W6\net2C98vf/Qq0/quQ/oU/Q+9dH8bcKKWbV57/NyS23oHB+z+J8tNfAwBUX9wHbeCqC0UkAeBHLsSg\njLG1oN/1+wB8m3N+C4A3AfiCu8sXQHZWgJpI/yPnvOYqkC+iRVreobm+QLIRVocXRjqDSEmQetnM\nPulFGMEJUyn9x4RZZYPGambhbWbb9Suo4v0g1a6ZpdR/Td5HO8S+2XV45xlmu/Uj7LMNIr2LVicv\n0hx1d53dBbKLC7wVS7TOOujgNcUKXmdsvtEShOUTsp9gtKBJsiAUunoxhtIIl6qZnXRkwihAatdA\nuoRKhuHg4XWy16JIIu3WqzCz1MdRpL1OuiEytYwla/WARlprJF1FrKCgkmHQxohwlkY4eJaSY7v1\nqmwjYu/pw+nd1K7E0evShlvNONLaqY0lJHkWBPj07qpsITJnxGQt5eiXtyP9+SgFzpQVlMYoJMjK\nmUiMxqWlVSi1ibyGyt5+Seyytx4BQGRdJsRu68Pol7ejkmGYuY6swaIdR2I0LtugJEbj0MYSsmUI\nQPWqVs6UabAAqbEAJOEUvTNFL8vUOEOsQOpmvECf3YaHmFR+u/WqTIAFAHtPH0pj/TKxtV6MYXIH\n3XPRV3Qwbsg5aLq1OHXyIl1rFwKXHZl0w3eGmMaqTGP6cs+ng/bA57n1yonBovH8++dFe4+wfZ1a\nBa8cfw6JN7wZAMC6VCirFjaStWdexqrXvQEAoK5eh/qZKcxX5sC6IuB2DXy+DqYo4M48jKe/huSO\n+y7g1WHoAo37KQC/DlEsQRjwJOKdAiBU3XYaTYMx9h7RrHrQOSW3+4mQn9i0Uhi9aFYH6D2X2Ba0\nPejc/vHCyGnQOcP2DyKSfmUviOw2s/KGqZbe95rdz2aW2SCyGvTZtTuvsPfD7mE74wTi4o5RX/J1\nBixca/NmZYmn3EEHAVjp68wypMVT9JPsG56BahAR6dmvQjUg20MAbnqrS/QEsRSEsLKX6h6FHVYt\nK0SwXCttz35VtqxQjAi2bDqOxGgcWzYdR8+4Qwqdaw8VJErYRkV/RLWsSGIzPdGLoXuItKn3ThP5\ncW2vlMZKRHPoniOIFjRoZY45IybJkrethV9hM7MWXr69Cz37VdhJRxI7lk9gdrstLbqCfAJuKJH7\nfPzUAHp/YMu6yp5xB6d3E6H2EzDLral07qdWLOauCt3XMeql6eh1aasVrUO8EHOwcqa0pdYyFta9\n7SWpRArieuynOKycifVPzMs6WQBUAznCES9wuU2cp294BqlxBtUADh3YKOfQrVdlb9GWOM+1xhhb\nxxj7V8bY84yx5xhjH3S3h1q/lxOXo801DiAaHYgmKGukg4sZjs2rtcJQ2a7c18+U1WnW1fqYemkS\nXbEkTn/jU7CmjiI6eDW6d70HirZK7qP2b0T1he9i1brrUCtOoH5mCnXjNOLXvAkzX/9DmAe/idSb\n3gnjwGOIX7sTirqqyRnPG2uXekDG2N0Apjjn32eM3Rq0D+ecM8YW9f2X26D6swAQXb+ON1O0WtlG\nvccEbWtGOsMspP5xvK+D3gubl/e1fz5BRDZobt5r8ZO/ICU26LzNxvaOH7RfM1LYShEMs9eGzcN/\nXe2cY3E2VyAkl2NZcaHWmXvcgrV2XhPtoIO2sXLX2arMOj6QLknLZzXj4IpPd6NyHWSfyDVPRmCs\nVaCNJcB0uK0mFFhpIhSpYTo+6vaajLqW1VqmDp62oI3GYWaJlFQyDD3j1LLCypnYkDiNfGYIBw+v\ng7ID6BueQmUvKaWkfpLttQpSSWuuAqgaNFe1rFBAjEt6BPlRjAgG9gGTO4jQHjI2AkkHam4GbKwf\nPGvC3FWRf/CLlFlBJx2dbL11kXo6PCNJobD4nt5tyh6bwporWoCIGtCTN6qwDA4FlIKr5hPYcusR\nHDqwEWaWSLxlaOjZr8JKUqCPIMNrxh2cvI1spFHXUixUZNFLsjTWj0jWBMoJIpSIwXJDdOIFjnxh\niM5nbEQkXcUdVz+Px1+8Bpah4eSNKgBLElFhj1WHq9gcN5Av03f+sYKCST2FNW6LEStHFtpoQcO0\n0YtYcjHr57zWWh3Ar3HODzDGdADfd/Mw3okA6/f5nGgpcNkpkwC6AThqr3pRsPUOgjH/CsrVF6+d\nNl/4nSvqZ98zyJTVbf8ucmce1qkj0LfeifS7Pg2mRlH+3j8v2OfKN/40nFcqKH7+AzAOPAptYAiM\nKVCicfT/9Eex5h2fgjZ4Nc6+uB+x4Ztw+vFPY/rhj6NWGF/yawWQ3PDAY0utkt8E4CcYY8cA/COA\nnYyxvwcwyRhbA1DfLgBT7v7tNJoORCvLKhBM6MTzdm2PQapa2HhBSl6YHdU71zD7qP88zSytYdfa\n7PrCVMSwfVsRcD+ZC7MfB83LO1aYwhumDPtts37L7WI+73PgtHgsD16zddZBB68JVvA6Y/OQ9ZLC\nnnnyRhW2TkqVYlAtoZm1qD8iiGRq5YZ6VRrrl0qYUBWrGYdUyFFKShXkqpaxcPK2OsysBZZP4HuT\nGxAv8AXhNwApfDxL59PGElRj6aqJ1LuRxhP7CAhFFCDyBlAKK+CSomIKqdyUnGe9GEO3XpW1nsIa\nq+k0PxHkY+/pgzaWcNuIWFANIo6xgiKvOzEal61GWD4hbbnRgibH4VlThtp4+1ZWMtTGg+UT0nZa\nSzJJGgVsNxVXNUgNFvOoZSxpOxZhP1aSiPvBw+tkT85vPrpd9hUV90UECiXymrwvhw5slAqzuK+z\nI2Q3tgwK7xFBQl51tyXOY61xzk9yzg+4zw1QLXEG4dbvZcXlSiaZmuqQyYsR9YpyujKxfbZy5HeT\n8/bb+5gSX/RXNxG9F116L6LpYQBAbPgmWJNHFuyjRGPovetDSL/rT7H6rg9jvnoGkdTggn3O/MeX\nceWP/gwqz/8bomuvxeq7PozSd/7hPK6uKZZUneSc/ybnfC3nfAMoiGAv5/y/gppFv8Pd7R0AvuY+\n/zqAn2OMRd1m05sA7G/nXH7CFkTk/Kpl0PGLfd6s9i+ILLaq5fO+185P/xz8Y/vP28ye638/6Fqb\nKaTen0Hk1//+Yshr2OcVRBbDjm/ns28KDoCz5o9lwGu5zjro4IJjha8zRyMSIQhJJF0l5Q1EEmMF\n6qUowndETV4l47aecEliz35V1kyS8ki2U5GUKmrsevarC84/PdErlT/FiKA0RuE1gow5eh22Dugn\nHOpvmGFSrXP0OkYGJ6X9VoT1RNJVmawaSVdRGuFQy4rsoymSa0XdY2Uv1QharsLG8gl5rYm8Jgmx\nqJVM5Ilg9YyT7Vakz85ut2X6aio3BStnSotuIq8h/fmovGeCgFk5U6qOgtQmRuOoZSyyuiYdKEYE\nqdyUVEBFwqxlUBqtqJsU9mNHr2MgXZI9QQEi5FaSWpNECxpSuSmZujv65e3yPifyGgbjBtSysiCw\nx0468nMV9bT1Ykwm57aF9tZar7Bgu4/3BA3FGNsAYCuAfQi3fi8rLkcymQKgdOldqeWeSAcNLGzv\n8ZPn1d6jK9GNSLIX9ukTAIBXfngQau/6Bfs4r5jg82RbMQ8+gVXrroUSbWT52LMFzBunsWr9G8Dr\nNYAxgAG8fm7fpyXCkltdQ/AggB9njB0GcJv7Gpzz5wB8BcDzoH6U7283YVKQhCBbaRB5CCMfYTWH\n3rGa7eMnamGW2zCVMogk+efQ7HWQDdRP3JrZT/3Hh6mF3n3DiGrQGEHnCbtGsc0/VtA2P5EPGsc7\nx7YJpA+XWIz6kq+zDjp4LbCS15liQSqS0YKGbr0KK2cSURJBO3v6MDI4CfXeaQCQvSNjBQWJ0bgc\nS7SaMNYqMlVUpJoK0iUIjKjRFO07JospqdIJCCU0XuCY3AHZakQxIhRYk9eQf2oI3XpVqnxCJZye\n6JW1fKK2M1og0hwtaOgbnkFphCNa0FDNUOCNIE08a0K9d1reF0qBJUurCPKpZqi+lGdNpMYZqhlH\nKqI8a8Le0wfL0MhC6lqDi++qgeUTMthItC2pZSzEChTwEy1osm1JYjROvSPLCqYnetEz7kjy7E1R\nrezth2JEYGZpnGih0bZDLSvo2a/CzJKiKr4skJZd97PUdAvxAoeZtXDwMAncokVJtKAhVlAwO6Ig\nXuBQjYW/A+K620Eba22Gc36D5/FZ/xiMsQSAfwHwIc55eeH4/KKJ8rkcaybTAKyuRFdHmVxmcM5h\nn46frE2++Uoob1zSb096bnsvZh79I/D5OiKpQay+80MwnqEeyvrWO2GfPo6Zx/4EYAxq73qsvuOD\nC44vffvvkLqFeiTHR96E6a/+PsrfewhX3vy2pZymFxeMTHLOnwLwlPv8NIBdIft9DMDHFjN2kOoY\nRGqCCGaYwhaEVqpgWK1e2OtmBK9Z/WLQfs3IZbNx/fuGXV8ze2o7aHbNza41bK5B1xs0XtC2sH3b\nwkUeo34h11kHHbxmWMHrLJqqwU46knhNZigkZ3IHlzWKqVwJRx4Zohq/DBFAy9BQg9t2AhxmlnpS\n1jMNC6qmW1j9ZATGWlIWZ0cUaZ3kWRPdepVqADMWBtLUbkJYR82sBRgaNjzEMHMdQyRdobpJQ0O0\nrKBnXwynd5uSOAoIiylZQ1VYhgZNJ5IlbKQAWXsVQBJaq5DAlk3HcejARliGhpKrLlb29lP/RZc0\nW0k3qMatXXzLLc/jkSK1zY6kqe2IY2hY97aXMOuSMp41gUJczkuoueK1CAaK75xGya3nrBdjKCUB\ngEJzUqNxGGsZnIpOhBiNNN34zilYRky2FxH2Y2FBrUCRYUiqq2ayfAIxgwh7tUhzFjWywiYrrMfZ\nbcepptWIwMySXdbKVeAYGgDtnC8BmuI81xpjTAURyS9xzr/qbp5kjK3hnJ/0Wb+XFZejMrkGwCtd\n0a5OkusyYUF7j+nfWQPljYHtPc4H2sBVWPOOTyH9C3+G/p/8CLpWJaBvvRP61jsBANHMCDLv+Swy\n7/5L9O/+bXT50l777n0Aag+Fv3XFUxh8+x8h/Yv/G/Hhm5Z6qgKvlTK5ZNjcTd/MBtXENbOPCoTV\n4bVjw2xmYw0jO2H7++fWTJUMm1OYpdR7Lv+4YWO3QzCDrq/ZORZD2P33udl8/HNo9nn691ksoWS8\n+aODDjo4f6zkdXb2FVK3SiMcs9ttam+RYdJOCZDd1cxaMlVUqJGCbKhlCucRypd4TxtLUM9H124p\nVC5R52jv6ZO1f9MTvbJeTxyvGBGU15PiJtQ8oUpO7sA5qa8i/TSVm5JzH0iX5H7e8TXdkgqfQP6p\nITh6XVpxJ4sp6CccVDKMbK5JBlun+yHabOz/wxukSlcvxiQpP/LIkFQOhcU3e+sRWZfYrVdlfaWd\npNYlk8WUTFIV91W2SnEV0emJXqkYEjkkZdIyqAZSkGWA1FBHr0M16B7560u9rVISeW2BBVncn0Re\nw5FHhshqO07tWcxdFXmeasZZVM3k+aw1Rgmifw1gnHP+Sc9bYdbvZcVlSybRhVfvo+zgVWEx7T1W\nINa13uXihJfENLNxBu0rtvl/hilmQbZR8b73tf+5/5zNCGfQmEHEN6gOsBkJDiKYQcc3s6b6ydhi\nLLNBhDrsfvqfe+fmP7//iwTv87Dxwiy4oeCMvsVt9uiggw7ODyt8nTG7YQVN5DXZP1L0PAQgyZm5\nqwJNtzC73V5A1gAiJhseIrIhtmlljlqGWoYI0lbLWLL9x+x2W9ZH9g3PIFrQZL1mrKDgnluehnrv\nNHr2q4ikq9Ju2a1XZdAMAGzZdFySJStnykAhgIifqDEURFQ1iFiKthsAKXSC2Ir2GIoRoQRWg+5J\nfOdU4/gkk9ZPnjUXEFMxL9Wgh5Wj5FjRKkTUhgKQdaH6CUdaXMW1qgYRVG0sscBGK5RAEZyjlTkG\n0iXMbrdpfi65FZ+TSI319qcU4TtWzoTyRVJ2SyNc1oPWizEkRuOSKEbSVVQyRGi79aqsnb3nlqdl\nfWpLnP9auwnA20FhVM+6jzsRYv1eblyONlcdwGnWxdSWe3awJHBsfrZWGDqzmPYeKxCBPbAuZhya\n65PPg+oSBcIIh9jX+zPIBhmk+rVrlwwjRK1IZdiY/nMHXb9/HL+651fmWimUYdfkH8u7rdn991+H\n2B40RjNiG3RfgpTJZgRzUbjMVZEOOrgosJLX2SqyuJYQgwbIAJdKRoN67zSiY/2Y02OIpKse+2ij\nlcacEQOyJrYMTgK/Ccw8MoTJYgpbth3FIWxEz34VlQyF8KhlBTWdCFbKtYrWMhbi4yqQE0mlbkuO\nYgzHzNWkuu0yFyphE73oy03B3tOH2e2kKEZBdtzSWD+UpANW0GDuMqGNJRaMaRkamE7tTmZHACtH\nKpsgsQDk9QMcA/uA2RHquWmP94FlGIbuOYLjX7pKXpfi2krX7AMmd3Bp09V0qt+MunOvZSwc+ykO\nxSCV8lRFxzSIyJ3eTfc3XuCIjsekNdjM1mHrGgb2ASdvI7KqlVVYuSoef/EaMJ2uoRueMCS3n6Vo\nW9KzL4LTu6l1ibAWVzIMihFB3SXMkbS5wLZq5UyUEJPBRT2jccxuJ1Ja2duP+M4pVCd68bVnrj+n\nP2dTnMda45x/B+G9RQKt38uJy0qZTG5NMgAagPkOmbzwaLT3+Miqxbb3WAoU/+YD+OEn7sYPP3E3\nXv7jnzzn/dLBb8n3f/iJuzG1h77AMZ77V7mt8NlGeNYPP3E3znz/kQs13SW3+i4GjDGLMTbWYp/j\njLEJ9/mLm7unm9YBNkOYHTJsvyDi5N3eTB0NUvDC1Lig/dshwH5l00+u/dvC7KdBx4XNO2zu/nMG\nnSfoeSvlMshG60eY2uy/tnZ+R87BxdmyoIMOLi+s4HXGKgrMXRUAQHznlAxUESEtQknUxhJ4y937\noemWVPgAyFTPQwc2Iv/UkCRR46cG0Dc8QwmnBqW4ivpAK2eisrdf1g9WMgyVvf3SWquNJRBJV3Hm\nf66HVuYLyJ4IpBHKHtBQ2SaLKamC2klngaJnGZpU/AAib6KtBkAkVdQSAkTIhLoJUOsO9d5p1DIW\nDh3YiNIIqa5rniSrb6ygkIpZbvzJZxmavFd2svGL5Oh1jJ8awPREb6OfpUtIzV0VGGtpjMkdkEFF\nxlpF9pssjXBpla1lSCmcLKaIKOcTOHlbXaq3qgE498+gWydyORg3qA2Ke33CltutV6WiLOouhdKa\nyGuwkmxB0M6cEVtghW4bK2itXVZkEnQ9XQA4Uzpk8kJh/pz2Hvpr7o2xq2XY00eBaByI94LXLUw/\n/qcL9jH+75cBACyVAdQrcHbiOwCAuSf+N8C6gCv7UZ8rAgAKn6M/iuOv/9ELNeWWv4+MsRRj7Jeb\nvP9/2xjjGGOst9V+AccxUF3nA+6mVd73w9TDMNIYRv78pCqI4ASdN+z4ICWuWe1eGKkLI4GtFNSw\nexRmjw0jwUHPgwixn0CGEb5mqqf/2sJIZpi9N4hIBh27KEK5RC0LGGNvYYxNMMZedBs6+99njLFP\nu+//J2NsW6tjGWM9jLFvMcYOuz874W4dXJpY4euMu66pvuEZqgXcOQVHr8PKmTIlVaiRokehWlZQ\nL8YQLWhY/8S8JF2iBYawZs4ZMZmWWskwJPILeyYqRkRaJm1PoocIyjn2U1wmqQKk7L3l7v2yx2Fp\nhEs1DqA0Wk23FlhvI+kqImkiSoIo2klqMyLSYu2kI62jgvie3l1Ft17F7AgRslrGgr2nD4k8KXeC\ndE/uwAJljmfNBdcSK9C98qeesnxCEjnxvp1stPsQEKmvwm4qLLWKEcGcESNr8p4+9OxXMZAuyfsr\n0lxtnVqmTBZTcPQ6Dh5ehzVPRqRyaSWZbI9i7+lbQKi999bMWnIuojZVtm5JtskCL9I2PBcKlxuZ\nVCH4vtL6j/cOFgf7jDpljt9Wri5Be4/zxemv/wE9sV4BqrMAgOpzexfs45QpQIYbU8A8fetkPP9t\n8Pk6wOeBMxSCZVfPoD57AoCC+crchZpyO19prQfwEcbYDGOMu486Y2ySMcYBbAQAxtib3ddgjL3P\nsy8HEcIe9z/zs+52B/QlC9xjDM8xokr9K+7Pkvsz6be5etFMCfQeE6aU+QleEOFrpur5xw+zs/rn\n16wuMIgABhHhZupj0DnDyJdXzQxSEcNIbpAKGXYPgkhqkKrpJ/5hRNI/h6C5vVpCyZzmj5bHM9YF\n4M8B3AHgGgA/zxi7xrfbHaCedJsAvAfAX7Rx7AMARjnnmwCMovGFSwcdXHJYyeusK07tKYQKOVmk\nDnKrH47JlFRRcwhA9kRMjTOkclMovquGbp0IW+8PKA00kq7CzFqSlKhlRfZCTOSpVjG+cwp9wzOY\nLKZgZi1Zxwg0yIwgaWJ7z371/2fv7cPkuO4q4XOrq6pnurtaPaP58ExLiqSxo57YjmPHI63ZLDGW\ngiEkJH7wkgR4HcK7sLCE94ElkISErzcL5F0+lgRYEjYQEjCfBjsxCXGQtA6wONKE+EM207IkS5am\nZzSa0Uy7qrs1XdVd9/3jd+/tmnJVdyuSPMpMn+fRM93VVbduVc+VdOqc3/mRtVP0gQTW9k+Uxy4e\nH6JQIKulqi4eHyKrrWhrIdtyyPkBUK0xypNckWHDgao5rOyvUk2p1Qq3CZKp3AxTYyZLJm676Zwi\n57W8j9EjrXpKGbojk2Y9C4pcAnQO2evRtFo1p425FAasmrrWWt7H8l5PBfjI4CIJSS5Ny1UhO842\nCkzKzTBVbynHkeE+AJA5lFa1oqZFqnKmSN//xFtPqXYvl5PmeqVr7ZsJG61m0gDAmcESTGMbjSiv\nC0LtPUY6H/HKwFt6EQCgZXIA0+HbC4DoK9kCR8IaAUsk0KgsAz5Qf/EpIL0FcFpF1POf/E8AGJBM\nIZG+ZqJDNw83/j9QgBQAPA16MHI7gK1im7z/twIAY+wLAAoA/hSU6vU+McYAgCcAJAFMAxgGsFMc\ncwBABsBzoGdnB8WY34G1Dv/krQOLOBpDpCTiSEcnS6t8307lCh4XV7MYRYAux/oZN88oEhm1T9Tn\n7ay5cWpeeOwoxN2DOESRunYksZs5tnuIELUPbXtf7ByvMvYCOMk5fwEAGGN/AeBtoF50Em8D8FnR\nn+urwg0wBlofcce+DcDd4vjPgNoWvP9aX0wPPVyn+KZdZ41V+i+vbDfBCxVsfTiF5UkNqVJLJazn\nXeT2lLEwR61Dlvd6SE6PwHSAlSkiHvN3MSJkwt6ZLlFCbLJE7TuG77mgyGoaUG1Bxg7qqGep52Nu\n6oKysNbzLrhFNYlEZil8p4wMqnkGaklCx9fyUK08eIFadOREnZ8nUmdNy0Wl0EqK9a0G+DjVNXqO\nDtNmqoVGpeAiI2yysmVIYy4FvUB1mFJp9SyaZ6UA7HyIIXsWOHsvEepTj04gfQ+FF+njNSxPZgD4\na5RMVszAtDlkKWCmaCriLkluMIVWH6+hengEhghKIgJqoDzZIrTLez3UBdFLlijltTJOxwfDk0yb\n9tXEQwOp6PZ/fADzdxmo5oFUiam6zpRQkH2rgVOPTsAA4GVxWWmumwkbjUyaAMCMXgTM1QKv+F5m\nzh3cZh9etdx/Pb3Fy9g6N7V6X5K7hqH5CY01dR2NhO77GmM8kfD9RAK+pjE/oYEzzjg05mv0l4cP\nxnwk0OQJ+FyDzzXW5Do4Z4xDQ5MzABoD52Dc54yDgXPOOAcDZ/DBNHCcrVcmACQSvOGBN+DT7zIb\nqz57UgMHA9iLwESzutQ0+jM+Gq4BAKnVBbup+X2rjJmMMc59n3H3EgBw1Cus9D/fjdzYq2p33vee\nBQYfTIwFiJPT3+mctnNGV8XFe3BG/gUwAAwcvs+NpJF4qT+TPQZ8V6fb3S9++iCb6U0Ago2Y5QOS\nicD+CQA/IP5IbAFwG4A6aO4vie1bA+O9BsAlAFXxPlzT6QEw42yo7UhKHJlrp1JF2UnbkaE4BbHT\nudsRpjjbZ/DzuPvQ7prC6mDUsVGEuZ2NNOp1N9cQvo6ocdvtG0cY26mziZ+MncoadNGWYIgx9rXA\n+z8INXnOAzgXeD8LYF9ojKh98h2OHeWcz4vX5wFc1Z65PfTwSmIzrzPNfXmdn7ONEkq9YkaphKPj\nZbJ5ZhncLFrJrxapmCM/9gIF4dhkPWUlE0nbV/vp4xT8YhaInC4gBwjVzH9gCRXRJ9F7ZBjIQ7XN\nCPZMrBRc1I4PkUJSqAiyCCxPasjNcJTtEXBhz/Vm0ihP0hdr2BrGHmM4e28KgzOs1drCNlEXMYAy\ndMe3WkSsUiA17tSjE0iBSFNGEFRp3zVsTV3j/F2kbho2A2wiohXRz7KVpEr3enDGRz3LUCl48LI6\ncjOUppoqMdWepCKChygsqNV+BMKem5rOoLK/soZsymCd0SNUc0nKpInJGxZQtDJrEntlX8lUSYNp\nc1RL1AImc4uhrL+yZ6jshWnaQD1P9bXVwyMwbK17mys2fqudIDYamTQAcL/uNzru2UNX0KyE4b62\ngQuwkxdgbwGAPttH/gWO8VkgW9Z5/6UE+hsJMKajrieYa+qAkYCm60gYBpDQ0QSDBw0+GPcTTfBE\nE/xWOF8AACAASURBVCzhgyV8aAmfM8MH03ww3QdL+KypJ+AnEmjoOpqJBHwtwRuaxpqaxhtaAk+j\niSYAQ/eMiX2v5scee4oBwNhNZyeaCR0vLdh0Ab6f8Jv1BNMT4I0G9Ju3W6vnnmfgHFwTDJcx4oOM\nwbhxD8oniqkTN+/Z6bMEODRwiP2aPofvgzV9wOeA74P54nWTg3G5nYNxrl43zb4Uv2FHN2stuE8K\n9DcxB5HL1uM84MbAftvFZ38P4J0AbFBctCn2vzlw3ACAL4AIpS/O8SEAHxbn8jnn/1vsq/7G7KQo\ntqvdC48R/KxTzV8cSYxTF6MUyiC5Co8Zd64gokhTN4Q07rrD26MIcPjeBfeLU2fDx8WNeznzjrPs\nhufe7TW0BUc3UelLnPM7ux/06oNzLu3kPfTwzYdNvs6YeJQq6xZNy4U75SoVjhUz4IUKWUfzTCmX\nC/taJGT+QAMLX98FZH0sT4oaQYdCbnb+D2DuDRlA9KEctWpYyLdsqzL8x3VMJEGEyrDZmvAb32qg\nUqC5NUQgTWo6AzdL24gQ0piZQ2lUsxkgS6papUAEz96h49Y7XkDRnkDmUBrlSVL1DKdFrgAoJa+a\nZ4BNls50ifpM3nrHaZwqTYjekHqASLXqLd0sqbOSyGaKRMKqeSKQC+IxwcX7anAdU9UvyuRUaR2t\n5hkmb1jAsbmUIpKFu0/h2Nd3qfvFLEEuRf9Nw6aHAKnpDC7eVwHmUkohfvrEdiRB3zEvVGAUM6iL\n2kzZQ7SWJ/Iv27ycub+BZMkU6bAVVJFp9cZ8ZBheHup8XaG7tbZhsNHIpPhPP3zu8ybTegrltcBq\nVsOp1wGnXgdQFXEDQANG9RLGT/vYdo5j+wJH/gIwfgnQtRQuGgms6BocPcFqRoJ7RoL5RgKakYBh\nJFifYUJj8QuP+03mg6HBm8zlTTQb9Jfha2/YwYv/9Lw6cMcRG1zTUHNX8RWxrblaV+Pc8MIxbN05\nwM8vJtjSEj3x0hiHzwFwjsS5IjwA7/N+FQm9CV33kdA5ZwmgqSXQZDqamo6mZqDJEsz1DV5vGqj7\nBlz6w12uw/V15nIDLjd4M2010vkzDeCN3d5iDWRRBVpE0ANU79T/ENhXfj4JIPg02QuMEYW62Ecq\nkpK0yjCe5LGVYYwHDmhn+wyjE9EJbuvGVho8Loq8RJGd8PhRJDRKPex2TlH7xB3broawGxtv1LFx\n44Xn24lgRs2lm++4e1txlzbXK/+vYwlr+7luE9u62cdoc+wCY2yMcz4vrHoXrnimPfSwXtjE66yZ\nplRST5ARU5A+iBo9LmydjXyrJnH+QEuZ8yxNEabyJFdEpZb34TsmTr5Dh28RWRk8asDDMMZsTmQq\nS/98Lx4fAqwGtdkQ6aesSMRFthOhvosmTIj2IHlSzlgxg4wgwl7WhzG1hOW5nLKSUhIpfX7uwd1I\ng0J9ALLgSvVTHydrLAAs54lE1fNUZ1ie9OFbnrKtVuZyMMdrgE0BNHULrX6VWSZCbTzVfqRS8JAp\nmpg/0FB9HCsW1S8uTzJsfTgFZxu145CtTOoWMHN+lGolbSK45x7cDX+vRwFH4zV4WbLPyhYgvFBR\nyumoVUPZziir8eBRA25WfOnTGbhTFYxaZJkFgMr+1vcGAHPvqSMpHiRghnpOulmytboO9cP0sj50\nXKbNdRM9dtxoZNKF+M81b/I609hVacew9OUlrHxlBeDAwBsHMHTvEBqVBs79/jl4Sx6MIQM7/ssO\nJNIv567Hf/o4tH4NjDEgAdz4SyQqnf+r83CecdC/ox/bfmQbAKD8L2U0nAaG7r3sMM7rAl5aw4u3\naHjxlrXbE3UX46e5v/0c59sXgO1lzvPLYKNNJAwwNMGxoqf5opHgK2aC24bGa4bGXCOBpq6B6Qmm\n6xrrS/gsmdAwv7QCQ9Pg+T6+WiwqIqlrGv7gr/+CAcAH3vxtkXP0L7qstFxGtd5K7uKcAeAcAFtd\npW0nnnx93dcS4JrGoSU4tARDQgPTNKYlEkxLaEzTNKYlmkgkGkzTmzBYgxtweVrzAOZxxla5pnk8\nszpfH2lq3ajlnwI1qm2iVR/JQaE4NQDbxdNaOdYAKMzgvaBwHvlX1y2B19I6C9DakO/l4zXOGHtG\n7J9gjKUBPIwWcY21UwYRZ4cNHx8mSZ3q9qIIZNT+4WO7Uf7iLLDt1LUom22nOXWab9w826mgUQps\n+HU3cwmPGT5vu2sMzyXue+7a5nrlpSjTAG5ijO0C/Qf1nQC+L7TP5wG8V9Rq7QPwkvjP62KbYz8P\nqkn+qPj5uSueaQ89rBM28zrTVtc+sB561kP6HqqNbMylRH9DauGRnkkrAsYLLow1bTU07HisAXtH\ni3TIGkgiLERqMkWT7JWOCbfg4rYbFlAsTsAT//X2rYZq6eFbDRglE3VQPaT3yDDKk1wF90y89Rye\nPrEd3HJhTmdgOBoWMQQNUCQKIjCIgnKoTjJZMkXoDfVV9PPumjCe9AzVC8prA9Aiz6LOU6qvnqg/\nJIJKKl+mSDWjUlEEiMwOHqXaxtEjAGAqtVKSTGkpVjWNRVIf0yUiwKbNVeBNDSIB1s7Az7swSiaG\nPp3E/F0U6rPipGA6VCNJNal0LbKmclT0m0zboq5V9LgsC8Ip5wIE+ltaLnKH0qjmTdXmxROKarfY\naCE77bCRyaQL48p7+63OrmLlKyuY+IUJMJ3hzG+egfU6CyuPryAzmcHwW4ax+HeLWPzCIm743hsi\nx9j1/l3QrdatbtaauPTiJdz0325C6Y9KWD23CnPUxMo/rWDnT++80ilfd2gmNZwrQDtXWLtd83zc\n8KLf3P4imtvnK/72FWC7AzbaZIbJXh6gVNZT3rLe552yL2oN3+8DAMtM8opbZxxAti/J3/Dq3dA1\nxv75xBkkEwnUm00qeBRjJHUN/aaOlGngglNF02+i39DBAbbqNaBrGtxmEzsuLfZ1c22cAwyGD2b4\nTWhoauANxnhTY2iwPu5pKX/V7Ks7qdxL+MGOw8mQ7OOg0JxhELHcAuB7QIEEHwH94zsBCjMYBNU9\nykShV4mfurjsOkihbKBlhXXF+ySIpL5OvGfi8/Mg1dIA4lU/iShi0YngBfcNb4sbO+ocUZbW4H7h\nMdtZUNuRpzi1M/i+m7kH94+bU7t71Y062UkR7qQ8tiOS7RTbOBLbNa7wKS7nvMEYey+Ax0C1xH/E\nOX+OMfaj4vNPAPgigDcDOAn63X9Pu2PF0B8F8FeMsf8bwIsAvvfKZtpDD+uITbzOeILIy/CeJXiP\nDGP+LgNjHx+Adm9C1d1pjg5WMgFw9dpwKNFUBrrU8y7m3uNi68OJVq2iQyE79QK16xh8ZBhJ24dn\nmSoldeb8KBpZ6nnIihl40FUtImyyoCZLJvofGsDivTTuikP2zVOPTiBpAfI5LwXZkMJXtTMtxVQQ\n23reVYTOE6SJAmxMfMdbjuJLf7dXtOeg/2pJUqeP12CUMkiX6H9O6RIFENXy9HmqpGHirS0Lqgyp\nMURPzcx0Bp5F9Yy+5cHZZqpgI0Ak5IogH0/UOzrbNNTyPob3LGExOwTDZqjlOUaPAMuTEO1bWom5\n6XsuYN4aAS9UVKsRqaIuT7bqGsuT9B16jwyjvpfqKeV9Stoct95xGuce3A03K+yvh9Ko5kWw0n5X\nqZxeVld1q0rx7OoX7nJ/Q795sXHJZIO7HfbtCvW5Ovp390NLijjlPWnY/2rDftLGrg/QYsq9IYfT\nHz0dSyZfBgbwBgfnHL7rgyUYlv5+CVsPbAXTN4/H2jc0zN2oJeZuROJIYDtr+hg5x5vbT/t823nO\nt1/k2FZjbMyr6rsbNcN0LmIL02BzHzW3zgD60r/L7GPzL8w16yzRmMjmar7Pc2jZQAEA2VSmdmcu\nZ9zxqnH9I58/yBiAbF8fKq4Ln3M0fB+61v13QM5cTwM8LQEg4Yu/6oOxOau4ybXnuvnl2CF+3gjR\npUi810AprQDw7wBI6ToDYBX0e/8CgG8V210QwcyIY2ugEJ6/BJHF4yDSmQIRWBnCwwH8AojEKiLZ\nSV2T+4X3CaKbWr12xCRq7Lgav3bEKzx+txbUONUtOHY7VTR8Te3OEzVelG2101jhecQpkeFr6MYO\nG55H3D0hdLa5Mg6wq1Bfwjn/Iug/ssFtnwi85gB+vNtjxfaLAPZf8eR66GGdsenXWR+pVTfc4eDY\n5BByM8D8XQZ8y8XypAlDRC3IIJfcDBTRAFrqIyWwmpg/4Cr1TNbnJYsZlEsjMATpkHWIAClgBgCj\nRGqksm06UOqk5uiYv8uAYdOxrEhqXKUAYd9kSh01HNEuZKoCTGdEqI0Ga9aHP1XG4iS1DZFqH6Wg\nchz6873whHKXtH042zTU83RuWZ+YvmdRtUuR560UXAw9y3Asv4tqHkE1ioZDBK02lwITRDFZMhVB\nbcylYACK6I0eAS4WXMByAaTU/fUeGYa+vwpPKJEL+3wYtqw3pVYnaWEf5iKwJ1fiKE/6SKt5AoC2\nps2JTNlt9fgke279wd0iKRdCRSZVejlvQhP22mqeHiwMWDV4SHf9q3a11to3CzZa+4wWgWziqpDJ\n5LYkas/X0Kg04Nd9OM848C56aLzUgJEj37i+RUfjpRgXIwPO/PczOPmLJ7H8OPVDTPQnYN1m4dQv\nnIK+RYeW0nDphUvIvv5yHnlsXPCEhoWdicTXvs3QH3mXafzOe5PG+3/W1B/4QIL9+A8w7/EdaHgG\neFrXsNXQkWQMCQD353L4ln4z8W19ieRP9ycGbjYp1pcD2KJp+NZ0Gr/i+qnFE2cTf/LlJ5ppTW9m\nddMbS6btfNqqbOnr8zTG+Jb+/ka9wctNn4d7jVwJLnaxT7+Y7kkAZ0FE+AUQNZUR6cdBSa9BVAH8\nnXjdBLUXSYPUypNi/2BrEhnoc0mMnwawAlIn/wjAQ6AnwwC6sz+GiUVYWYv6PM6+GUdUw+pfO/Ut\njqSG59RpnlEkLq4eMeq84evspOSF700cwY2bY6drCN/f8LzCxDm8vZNqGT7PZamTvMOfHnro4cqx\nidcZbxKJOPfgbrXNy/oYO6jDcKB6MwL0WhINzdGRKZLaR+04KvCy1PZC9kQEiDTV8y4Kd5+CNdtK\nEJUKmTxOqnCsmIE+XlPE0rRcqmcU/Q/la9nzcHmvp9JiqUWHC9PmaIh2InIuC/uoNjNVop6X0jYq\neyRWCq6ygEpVUPaA3PkQg+HQ8XI8qb6alivId4PqCwGhWvooT3I1L3mvZM/J3AzVHNbzrpoDK2bg\nOlRbKe9v0uZgxYwKOxoVKkN5ksicO1VBNc/U9yLhWw1UD4+gPMlJ6XWozYsks5kiBetIRZTIuAhA\nEt+3DGRixYz6XmVyrGFrqB4eUYS6+1+4Dn82EDYUmbSftKWtL8EbvN5p/27QN96HoTcP4cyvn8GZ\n3zyD/h39YCHlijEW0r9a2P2h3bjxIzdi50/vxPKhZVSPkwg0/OZh3PiRGzH2rjFc+NsLGLlvBMtf\nWcbZ3zuLC5/v5TtEQtOwuD1hXNzXp1/SwKwHbkB5UMMq4zBHTf+h70i+9NUh/9Lxfl7/1ZWl5qBh\n8IymYYumoc45fmFkFFYigT/cltd+54YRvY/xxKsSmnE3b2b7qpUMXNfQOGc/vyWn3zsz13/nyZqz\n64xfGprlp/sWcBIX2Ym6rZ2sVbUz1TorXfJwsdH0L3U5+8Uu9lkF/f4CgINAoqp4XRU/myAbahMk\nhH4BrSCdWbRqKn9OvJZ/dZ0PjAUQydQAfB0tgrkCSgr6EtBdC4wgwrWI7RSuMCmLO0dcTWAnVTGM\nOHITR77aEbw41e9ybKfBexM+byfSHkV+4+oYg9vC9yN8nVFjdbqmTrbZbrGZGjz30MN6YTOvM5bg\nyoJp2BrKk5xCZbIM7lRFWTBHx8swLVcphrfecRqeRb0VJ956Cq5DdYgyRKdScMELFdXm4ukT23Hx\nvpoKxtHHa/CthiJKw3uWsOLQP9nSuuk6JlzHROZQmqymtqb2B6B6OKZLHJM3LEBzdAweNZC06RqG\n9ywhKaymQKu9iPfIsLpmzyJiRPZXruZn2Boyh9Ki5YehAn8k9PEaPIvm6GUpBbUxl1L9LAGy0LJi\nRoXuSAIMEOE0bE213CAltKX2Du9ZQi1P9ZT1vEvfhc2pDcoU/X+4PD2igoq8rI/GXApelkisTGVN\nlTRFgGVdKEDkWSbLymtOl7i6Ll6oIF3iqqWJ4dADBPk74GV9updWyw7c1e/bJlpr35DNlTH2SwAq\nnPPfuMzjcgC+j3P+P7+R83aJVQCJZr1ZMbrqE98Zg28cxOAbBwEA5x86D2PAgL5Fh1f2YOQMeGUP\nejb6VhoDQr3M6rDusHDphUtI72lJ5ZdevATOOZJjSSw8tICd79uJ2U/Non6+juQN7cI4Ny/MrSbM\nURNLX1gC9znSk2lkJjPaoZq9Ba83MHjPIF746Auol+qAAWgc3G9w9vn+1aU3aQl9xNXSH1taNP59\nKoW3bdmC51ZXsdxsYquuwwDDt1tZwF9Npi6dT461oYqXNNN9KTlQXTGzKxWduVVDa1zSuV/XGWvo\nPMET3OCsmek30Eho2lwXlzYLYA7UX/ISiDAOgCyqXwTVmLwL1P5DA5HBGijggAFIcM53MsaKYrzf\nBKmOswB+m3P+VcYYOOd3MMZ+E2QpejWAG0DKqQ2yvQ4C+KHgxOLslmFC0Y21M84KGkXIoghjlJ01\n7mfU/NupllFziptLJ/tvHDlrN0a784c/i7r3wffBfcL3LQ5Rc4tSb9vbWr8B8M3Vk6uHHtYFm3yd\nsWrLZgmQgmdaLsqTOiCsmF7WJ+IijjFsDcXHqbXz/F0G7Ad3I5lnsGZ9VEQORKZoopbXkSlpqOaB\nV3/Kxcl3pAChLg5YNVRFciy3XLhOSrUHSZc4UGKo5k1FjgxBmgiUXLogejgClNSaAwXhVPZXAcek\ndiaAssXK2srK/iqdS4TzyAAZwyZCN3hQx8I+wHXIDgsA5SzVZEoy6NmUdDr2sEiAnaR50JiUsuqW\nMqjnXdQhbKkFD4WbzuHUoxOqblSRWqG2SitqeXoEKQfqfrqOiZEfOw3n0QmUp0fU9+JbDdU7cnCG\nWrOQhZfOGQwSClqPgwE7ABFfN8uQOZQGwLH97gWcw27VT9KdohYgFctUSYSyDrVrbLK19krXTOYA\n/BcAXZNJ0aaAcc675fE1AHqz2ix/A/OLRMNuQM/qcC+6sL9mY+LnJ+Ateij/cxnDbxlG+Z/LyN7+\ncouqX/fBfY5EfwJ+3UfluQpGvntkzT4X/vYCxn9wnGooffGbxwDf3WCPLa4i+nf1o1lrYtfP7oI+\noOOFX34B1u0W+vIt92f/jn6k96Qxet8oGi812MlfPIkv/1h26LAIQtJODtcv/vkFPnlH34VT07XM\nfckB7Xv6s/pPzZa6bCIE9Puu2X9pwbzh0sJA3D6XmNGo929daCYHXozbJ4BFAOMgctcHau68CGA3\ngJ/hnP8uY+wrIBvr8wBeD+BPOecfZIx9CK1KzQUQSbwTwDKAefEz6lwjoDXzZRCZHADw15zzH7rz\ntj4uvbndWD7D2+Nq96IUsnbENIpQhV93IkjhOcZtC6t0UapbJ6tt+JrCxCyOqHYaJ/xZ8H0c0Y47\nJmpO7Yhhu+85fB/C19Y1NtE/vD30sG7YxOuMi8B9qVJRKw4TGUE8JNmSxMea9XHxvppS4QimInqy\nd6R1JIVavpVueuanAKMoqJ+doV6Ton7PBRFYSdSAVr/J4T1LRAodIDdFr+t5F3BMRaIAjsr+KliR\nyJuJllom5y0VymQxA8CEJtQ8CruhcxbuPoXi4xNYngRSJZq7abmCYBE8EQloOEBtjlp6yPe5KUqZ\nzRRN1JBCxuaqZUhlfxXaXIpCemRSbZHqTRfmcirECEK9rOV91PMNjB3UVZrqqUcnlCp87Ou7RPDP\nOZw7uhu1PFf22Kqg2KYNlaZrzfqi3lJTbT7kd1PLU+hQpeCqPpvHvr4LOQDVwyOq9rMh+lACUN9L\n8Dvr7hfu8nb/ZkZXNlfG2AOMsWcYY08zxv4k9NnjjLE7xeshxtgZ8fpmxthRxthT4tibQGldE2Lb\nr4v9foYxNi32+WWxbSdj7Dhj7LMAngW1RPhjxtizjLFjjLGfajPdRQDJptN86TLvRSzO/u5ZnPi5\nEzj722cx/sA4EukEht4yhMpzFTz//udR+bcKhr6LCpW9FQ9nfusMAKDxUgOnf/U0Tv78SZz65VOw\nXmvBeq2lxrX/1Ubfzj4YAwYS6QT6dvThxIdPgHsc/Tv6o6bSAwCWYBj/gXGc+Y0zOPHBE8hOZdGX\n78Py4WUsHybONPyWYayeWcWJD5/A6f9O4UjBRN0zjy0lUz881vf570ru+Lf/Ojz4B31O7k3Vc5mV\n79va+MXvxuJnbm+e/coNjTOn+hpzDnyb8gQuH/3c03O18/mtKzPzXew+DFImzwOYAVABPfCpAPg1\nxtglUD9Jl3P+FpDq+P2MsScB5EHKpcQqqO/kAohMbg2da0gcb4OssG8EcBRUY/mDjDHv2MpwW5Jy\nuQQuuL2TihWnwMUhbDUNnzdsKQ0fE6eUxl1HmOy2OzZMKuOUvrhztlN7O9UlxhHhuHsZd5+ixoga\nL+5+dYPNZAnqoYf1wmZeZ9xo1Q3q4zUU7j4FQLT7EMqXtLZ6WR8L+6DSQjVHV+pUqqRh/kADbpas\nnRfvq2H0SKulRtAuKZEpmkoVlP0trVkf1TxDboYSRKuHRzB6hM5fnh5BqqQpW6Y7RfWWy3s9jH86\nqWoTJfnTx6mmMHhOgAhyqqRBH6/h4n01AERenz6xXZFiSbQyIs00eCxAFlvfaqBSoHpD0+ZYmMup\nY1MlTbULKU9yZTHVx2vqGtypChaPD2HwqAHDpvsp56qPkyV4/gDZhE3LVXWd56uW+o6ePrGdlFgQ\ngaZ0WoKbZageHkGl4GJ5UhPtUVp1q8mSiaFnPVXHCVD9pJtlGD1CBFjWUQZhzfpE8G1NketusZnW\nWkdlkjF2M4APA/gWzvkSY2wQwP/Txdg/CuBjnPMHGWMm6D+6HwBwC+f8dWLsbwdZ+vaCbHqfZ4x9\nKyh85CYA7xbWvNcDyHPObxHH5dqcdx5AwVvxVrqYY1fY/XO7X7ZNz+jY9f5dL9tuDBjY+V93AgDM\nERM3fuTG2HGzr8+uCd0Ze+fYlU92k8C6zYJ129qVPXjPoHqtZ3W86qdeFT5MYceP71iz78SHJ9Tb\nGWB45ua1S8O85HuvetF/afe55qVd89zfvsz0kVWWtny2RSP1PBacc84YO93FZW0DJbDmQGvzRQBn\nQD0k38Q5/wpj7HcAvEPs3wTw85zzzzDGbgXwI2L7CQBToFTYmhhnW+hcO0G1kt8KsfYA/AuI0P4p\ngC/fOrD4J8D2toSkXV1fJztklBIYHD8O7cYLnz9ublE1gnE22Dg7atS96GSDjTsuipyGz9PJZhvc\nL3iOdmPFfdZOHQ2P3Y3a2kMPPfSw3mAJIgqyv2PRymCwxGG8fRHVwyNI31PGokPBNbKdhQxzgQjX\nGTuoY3kSqsVEpeBBm0thYR9UGqwkHabNYc1yLGQDLUDE55miCWebsNWK/wYaNkOy3MTwnhWRpEr7\nJ0smCnefw6npCZi2gTP3U/9LzzJRy3PRWoSssVI7yxxKI2kTIZ546ymcenQClYILZklFluyelf0V\nwKGaQ6ksSux4rAmzXMPJ7BAgLKamTcmwUuUbPQL4D1DCrZyLVEg9kMKXKmnwRJJtedKHb3kYHS/D\nmxlGNc9e1sfSnM6gkfeJIAqbK5F8HWaRenYmRfsW+RBA9t/MFIk0nrmfvuexgzr8By5g8fgQlm4x\noDk0n1peV9+zg4xKnJVQNaeWiVQJL6sj7WEturkz94Bsb0sAwDkP2+Xi8ASAn2OMvR/AqzjnUdVn\n3y7+PAn6j20BRCIB4EXO+VfF6xcA7GaM/Q5j7DtAakoc5gEY9fP1btIze+ihK7j9mnGioA899qbk\n9k880PeqD/1kMv/DHzBzP/DTCf/9/xHLn9znn/vyjuaZYroxu8L8FX+tLXtusjhTu4zTRWV9+YGf\n8rNV0JoBgO+OGUf+DBNeDnqI8zRo7d0M4A6QkvlGALceWxkG0L7uMUoRjCM6YSLXjTom30cRyHaW\nzyiC2o1NN0xwwypiJwWzk/03yn4aNYcoQhZH6qLUyXb3J7xP+L6Ex4wir3FKcCelMhZ8cz3F7aGH\ndcFmX2er2hobKECK1uLxIaWcScIwYNWUciaVRs2h+kJeqFCYzdsXlcV0eM+Sssl6WR+Fu0+hPEl2\nTKnQGQ6F+wBQKl+QoKRLHPYOHYvHhzC8Z2lNjd6F39+l5jt2UIc5TXWMsvZR1juaNle1lwCRIqpb\nhLJpGg5Zbat5qhvUHF210JBqZDXPYO/QMfl7/6aChSoFOqZScJG+h4JxLt5XQ/XwCAwHrSRai84x\nvGcJhk2kLDd1QRG/ZMlEeZrSUXmhgtwMU2Rbtj4BIOyvrgrl8a0G0vdcEL0ffVT2V5EqacgUTQxY\nNVQKtN+Z++naxw7qqGcZytMj0Mfpv2C5GQoiGj1C34Gsp5SBSlLFleRapr9etjJ5FdYaY+yPGGMX\nGGPPBrb9EmOsJByeTzHG3nwZs7pmuBo1kw20SKkqWuOc/xlj7AiA7wLwRcbYfwaRwiAYgF/jnH9y\nzUbGdqLV+w6c8xXG2G0A7gUpnt+LUEBIACsAuLfoObzJXZZgl2ly7qGH7tFIaonTN2qDp2/EYHC7\n1vD9/Dn/pd1n/UqhmvjCa7obbhbAcyCCdwGt9NWLAH6dMZYS2+T20wDuFw9Y/jE01hKAvwEpkjMg\ntT+IswAeAfAakGvgPIBHQWpmBcA7bx1YBLBdHRBXBwi0V6S6qfuLq+GLIl9xts8o0tmO3EQR1HZ1\ng2HEXVfcGGFC2g6d1Ny4ceLuc9R31UlBjSO1Ud+T3B5l4+0am6i+pIce1g2beJ3xRKuuUCaD12pJ\nwwAAIABJREFU1vNEbmBnAJHaqTk6aseH4AtCIdteSPtm5lAa5cmW/dFwgLK9Nijm1KMTSKGlpklC\nsnh8CMj6ZPMUSqVUwap5quHLzTCsjKeUEljNM1y8rybOy+FZIkl2LgU/31IU9fEaMENpsOZ0Bgv7\nfAC+em/aHLU8h5eFCvkpZ6EIMABF9gBKYf3ck69TPRghrk9zdKw4ZP81Z9Ko5um+NuZSa9RX7bND\nGISPZZgolyhkR4bxAKT4NuZSqj8mAFXLKFujuKJe1J2i7eXSCLxJmmtD1DYCVLND8zYBkbLrP7CE\nipOi+5alHpimTXP1H1iC6aTgZXXwAt0fed2smEHGIRVVc3SyzAq65F1OB78rX2t/DOB3AXw2tP1/\nXG4A6rVGN8rkYQD/kTG2FQCEzTWIM6AgEAC4X25kjO0G8ALn/OMAPgfgtaB2B0Fu/xiAH2KMZcQx\necbY2oQa2j4EQOOc/w3IcntHm/lehPgKm7VmT53sYV3g65p2bpe+5StvNPOffHOiW1XyH0G1jLcB\n+E7Qw55/ABHLn+GcvxZkRT0s9v83AL/FOb8dRCxnxfZ/Fsd+D2jdDQL4P+Iz+ZDmMZDV9S7O+a2g\ntesAOAbg9Zxz5RGOsn6G7alRdX5R76OIUBwp61SHF1RGw+SzHfkJI+5awtvaEejwPMNzirp/cYiy\n2LYjde0UyE4KYdS1h8lhu/NHfa9xJLYdGDa5YtJDD68ANvs601woRVJtc3R4WR+8UMGOx5qKUMha\nv8r+qlK15M+k6NkYrNmTkMdZs77qCSntoOE0UElsa3lfhdLIPooDFh3nZin9NFjPWM9TWI4kbkmb\nWAsrZlDNM6WkypYhrJiBNUtj+VYDqRKloMprGHvCU+pjpkiEVpJLGfwjFdjcDFPktFJwsbzXU+pd\nUGXNTV2As03D3p/5Grysr5TTdIkr5VG2PpHhRlI1Nhys6fM48dZTSkGs56kX5+gRUj7ldVYPj6y5\nNwDgPTIM1zGx/ftfUDWUUrEtT48o8suKGVVvatocgzP+mn6SyRK1ggnOtROuxlrjnP8jXh6eeF2i\nI5nknD8H4FcAfIUx9jSA3wrt8hsAfkyEgAwFtn8vgGcZY08BuAXAZznnFwH8HxGk8+uc8y8D+DMA\nTzDGjoGapUcJyXkAj4ux/hTAB9tMeUleV8NunG+zXw89vFJ4ppudOOdfB/CXIGXy7wFMi4/eDVIm\nnwHwOgD/r9j+SVAwzyroIUtSPOx5H4AsKEznWQB/wzn/GmPsgwBSjLHjoL/rotberQCOirX2MmUt\nzgIpEWXLjCI9YZLTro4vuF9wHlGfRRHN8Hnijouyn7YjtlHkNEpVbaeYRl1vu3vQboy4seIIdPh1\nlO01fE2dxm73HXbEddrgmTGWY4w9xBgrMsZmGGN3McYGGWP/wBg7IX4OBPb/IGPspAiRu3f9Zt5D\nDxG4TtcZcO3Xmm+2LKuS2PlWA7kZhq0Pp7Dlg2cViZLtJ1yHLJTmdAaZQ2n4VgPONk0RvSDkmIZD\n9k9eIOXt1jtOqwRZSeZkvZ60xvpWA6PjZaRLHPW8ixUnhdEjUPbO5b0epajOMGiOjq0Pp8ALFSKh\nWYbRv31ezcOzWsRM++wQ0iXq7WjaXIUEkcJJgTNLtxhk/c2yNX04xw7qrURXW8POh4josmIGtTy1\n9wj2XQwG25SnKRn10J/vhW81UJ4kElnNM0XIJMGUvTrltdfyvlJbNUdH8fEJRfiTJVMpxNXDI8jN\nMHVNvEAPChpzKeRmaK6m5eLcg7uRLJnIzdB1yYCl3AyD4bS+t0rBRXmSq5Yxcp6DMz4dY7X6VHaF\nzmttiDH2tcCfH4kbKoSfEKGlfxRcD+uJrmyunPPPAPhMzGdFkPoh8WGx/aOg9Nbw/t8Xev8xAB+L\nGPqWwD5Po70aqWA/adezt2fLAJLugnuuL993ezfH9dDDNURXZBIAOOe/Anp4E8a/i9j2XgDv45x/\nSoRcpQD8HKhdyEcZYx8AMMA5/2XG2GsAvBNAP6glyEEArxbrL4hTINUSyR3b+aUIUhZnj5SfA91Z\nRsOWzU5ELThWu7E7qXBxcw6PFb7WKKWwk3U3ap92BDrunFd67eH9O507eK44IhnGN0wiAVVfcp3i\nYwC+xDm/P7TODgXW2QcAvD+wzm6GWGeMsVdzzptxg/fQwyuG63udAdd4rSUutYJU6hD2TuhKDXQe\nnQACQTnLk/Sz/+MDWLjfVcqdDOSRfQwrwoqJUsuWOmDV4D0yjKTNUbQnMDrjY2GfsEqK4yQpqgur\n6uLkEDDJhRpo4uJ9FWW5NG2O5b2kuqWmM3C2Qdleq3mGcz+4Rymd6RJtMxxQzaBoPWLarfYnvFAB\n7IwiV77VgCest+kSV/We0o5bz7uYe48L1+EwLRfDVk3ZfAePUC1pboahPOlj7KCOhX0+qtBUfWbD\nocAb0+YASO00bfo+cjMMy3vpO5JkTfaMpJ6QZC+VQT25qSXMW5TDOTpehnF4BPV8Y00/TYBIfcUx\nhY2WeksaDmA4miDSPnIzYn5zKSTFfXEdU70HqJ2KYbeScbtCd2ttiXN+Z3cDKvw+gI/QGfARUD/x\nuLK/VwwbNZroeQDZS6cvhevEeujhFYUInnq2446XCcbYFlAS6x+K87ic8zKAt6H14OczAN4uXr8N\nwF9wzuuc89Mg1XJvN+fqRCTiiFScmhc1hjwuiswFx4ybXztCGNwWp77FXVuUzbWdZTVMFINzirKQ\nRqm3nWy/UQQySgkN37c4RTnqnoTnEbbthseIuheXrVJeh4rJK7nOeujhFcF1uM6AV2atNdN0gZ4F\nFa6y47Em6nlXtQSRITJAq7XHmfu5UuBqeX8NCdz6cApJQSK9rK+sqNXDIzDevghnG9Uj1oWKKYmZ\n65hK+coUTVU3KAkXL1RgTlNdo1TMNEeH67TCg4y3L6prI3JGyp7x9kWMPeGRkiYsubINhkRjLoXB\nmZZClyyZ6tqNty+qYBt5nfK1bCFSniZVcHCGenH6VkMpmgv7WoFEsi7StxrwLGrBUc+7KkDHsDVU\n9leRKZqo5snSK9XCZMmE8fZF1X5EqrmyxYjm6CJFlnpCynAjw9ZQzTO1XR5H6az0HQ7O+EoxlXZb\nXhDkvdi6F/L+Syvw5YbwXO21xjlf4Jw3OYU8/i9cJ/++bFQy+SyA/tVzqxd9z7+cFM0eerja+Jdj\n7z5Wvwbj7gL1VP00Y+xJxtinGGNpAKOcc9nT8jyAUfE6D+Bc4PhZsW0NGGM/Ii0XzUp1zWdRClk7\nYhmn2rWrv4sbM0pBiyOI7YhlmOxFka+oY8PnbqecdrLsRl1PnGU1iri1Uy2D48V9N3FKadR5w3Ns\nZ4WNu9ZuwXj7P+uEa7LOgPZrrYcerhWu03UGvAL/pmGxRmmegsiMHdSxdAupjbJGThKLdImrWsFg\nWI5vNZRV9W23PwVnG213s0SkCnefUmS0PD2ijkna/GX1doNHDVV3KftEBnsdpu+5oHpc+lYDt95x\nmuyoDil7cnwAishqDqXBzr2H/tshe0uOHSQrqawdNGwNdVFDWZ7kawJ0VpyUCOuhWk+ALKANocYm\nBdmt5hnqWQbXMRU5l+qd9tkhVY8IkOLICxVsfTgF03JV3aUk1kE7bfCaJHE07dYvZ6qkoTzJlU1V\nJq3KVNl0iStLsGfR3CXpl8cv7IO6r0ArDEjWdJrTpNrmZqgNyvxdhppTt7gWa40xFuwheB+ugVjx\njeBqpLlejzgHwfsb5casOWy+ep3n08MmBWPscOe9viHoIOv3T3DOjzDGPgay/yiI/paX9VcW5/wP\nAPwBANx5Wx8HtsaqZlGWySjCGWfVjFPJgmhn8YxTP8OIq/Vrp6oFj+uktHZDOjsRTHmeqPNGzTlM\nqNvdg0421aj7H/c9h6856p5dDoFU4Gg1v7kGELXEfwkKnToD4Hs55y/rRSySkT8GSjj+FMgOfgfI\n7dIPUkXeANFqRySPzwAwRJ2xDuCr3cwpuNaSO7Zv4ozNHl4xXKfrTJRF6QDuBDACav92N4BfFPvv\nBK2z4wAyjLFPgDoJdERwnWW2bueknjEYpQyWJ4GxJzzM30Uql1SwanMpTLz1NC78/i5l33SzlG6a\nKZrY/66j+FJpL770d3sBYVmFIEanhFVW2k0r+6vY+ekkzt5LlsxqcQQomVRXKEijYbM1ATOao5P6\nuafWaksBHce+vgu5Eke6ZMDNAkPPerB36ChPtr5UmczKijSfpBhXWnZNy1Xpsq6jqYAdSaaNkgmv\nmFFjStIVJHnONg3mNIXWJGdIpZW9J2W9puy7SeSOYXmvq/px7vh0Emfu52iI2kjZksSwNeSmLkD7\n7BA8yyT18IElrIynVM/PxhylslIdKSmlgzM+kuUm7B1Eaei+cpg2EfVM0UQ9y5X6XM83lNIs5yzr\nLGVyr2fT/eMFVyXK5sbLawh8+188XPFaY4z9OWgdDDHGZkHr4W7G2OvEGc4A+M9Xdparg42qTM6B\nvkbNXXJ7Vtce1hP/+xqNOwtglnMunhviIYg+kfLJlfh5QXxeQrDPB7UMKXV7srDNM+pzIN5GGtze\nbf1dmDB1U8snPw+PETe3dkQwPGacRTVKBWw3XjurbxRJD84zyr4anmc7G2/UWHFku93x3RDXy7K4\n4porJh8A1V3dBOAQQg9eAIAxlgDwe6Ak5dcAeBeoZmsWFM1+C+hJsAGgEXhC/CKAU5zz1wF4EFew\nznro4Vrjelxnov5xFvTv1Y0iufwIKJF8AcAwqJ7/O0Fr7UfxDfyb5qWhLK2yF+LSLYZSsdwpsjka\nNvVmnD9AKqQMppGtOv7pk1MAoHogsmJGtRQxba7URtnH8cz9ZDUtT4+o85qWuyYNdnCmlZ6amxGK\noSAu6RLHjX9ZU0E8shfj2XsTFMxjU29Eacv1rQbZZC0XhbtPqXNIkhrss+hZa9W2Wt5X7UkkcjNM\nEKuKUmyl1TZZpgTcSsFVVl95jOGQuloWdaCSkM69p67InFRT5fxXHCKcst5zYS4H1zGRm7oA0+aK\nLJsWWW+tWR/LkxrO3M/hZqkucnjPEj0YCNh6K/urijAHybE7VaHfCVtT5J4VM8hNXcDoeFklylYK\nLhbmcu1+vV6GK11rnPN3cc7HOOcG53wb5/wPOef/F+f8Vs75aznn3x1Q7dcVG5JM2k/aHugvnuzq\nudVznfbvoYdrAc55Fa1E1qs99nkA5xhje8Sm/aBWIZ8Hpb9C/PyceP15AO9kjCUZY7sA3ATgaLtz\nHFsZ7kjYotANWZRjRNX3RaluwXO2U9XiVLbwXOIUv/C1hcliHHGMm2vUnKLuXRRZjCJmcfOMQ/gh\nQNSYnYhqJ+txO1J8OYTyGrcsiKu7CmIvgJOc8xc45y6AvwDw70FOlxc55w3QOjsG+g+uXGc5XME6\n66GHVxLX6Tp7m/g37QSACbFfAkAdtKZk27kr+jeNNaGIj4RM6Vze6yn1S5KyYHLn4Iyvkk6TgjSZ\nlqtIkSQoy3s9VPOMCNnUBbhZ1moVIuoBAcB1qEZQBrpIu6y0uQbPnbQ55t5AtXyZQM/KVElTbTDk\ntciEVJk+O3N+FO5UBbxAqbCSRM0faKg6SDkHeS3Lez1Vzwi0bLeTNywogsaKGZjTGcy9pw5eqFAw\nkfhMBgDV8mRT1cdrqBSIxKdKGgasmkpWreeJVMtaUKkQAqR2BmsjZU1lqkTKqEyPNZxWIqxpc6w4\nKaWQyppHWecqay/HnvDUOEHIa15xUliYy6nEWjkPmRjbDTZTG54NSSYFngFg1U7USrzB3Y5799DD\n1cc/HXv3se6aEn1j+AkADwZahvwqKEH5TYyxEwAOiPeyxc9fgQjnlwD8eKeEyVsHqLg/rh5RIs4i\nGld3F/U+Ti2Mq/vrZJ1tN792yuPljhFFMtsRrbBaGjX3uPsSJNmXs2+3Ntsw4shmlEodZYENz6kj\nrl2MOhBfdxVEXA1WeJ31Afg4gDeBnAfDAL6TMfYVUE/Xy1pnPfTwiuL6XWfA2rX2RgC/Dfo37A0g\nFfNDAP49Y+w/fCP/pmkuER2Z+CmTRCUx9LK+qt2r5X1FUgAiX7KFhLONWnlkDqUBYE1gT6Zoqn6G\nwd6Hy5OaSk6VwTBSNUyXuCK46RJXKt3YE6Q6SqIplUSArLWeRaTUy/qKFEmlr1KgwB1J+rY+nFLk\n0cv6qp2GhFREAbpmeW2AqPksmYqYSsItz8+KGRUARJZgpkitYWtozKVUXappc6XwjT3hrQn2kSpg\nNd+qdZR9PmVrEPndpO+5gNwMw/yBViiOJLSZQ2lF2gGonpyDRw2lqtZzCfrM5tj5UKv2UtZcbn24\nFbKUKmlIClVUktKucJ2GXV0LbNSaSYCauIN7vOkuuc8nb0je0umAHnq4mmCMHbqW43POnwLVmISx\nP2b/uLYjHRGnBga3yf3CtXbB46PqCKPOFaektbNmBucRnlfc3KMstOFzRZ2v232iagujrq2dlTdq\n7nHjBcfoZAGOmne7+UTNI/g+7ntL/OTLpvEydGn7aRujzhg7COCGiI8+FHxzubXEwXXGGPuQeP1J\nzvknGGNJABnO+UXG2OsBPALgZrHWeujhusL1vM7EMU8BuDOwzv6XGOcehNYZY+zmy/03TaW5igRT\nN8tECwpK9NRFuwxJsmTLDNM2lFJICZ8Q6aNU7wgQ6TBtA+VJCtoxLRcoEcEbPGqgmqdjh/csoXqY\n7K6nHp0QymgrOVX2cTRtrmoA5Xxa6aqNlooqrLdJ24dpMzEnDXzcBWAKNZQIqbTipkqaImD1vIs6\nIBJpaRuloSLQRoPGyR1Ko7K/CneqgsyhNDyLqWAdczqjlEkigp6qR5TnGzxqwM0y0TqEozyZgGED\n7lQVrJjBzocYzt5L53WnKjDRCgUyABilDEwxfvXwCHXTRqvdiUTSJsurVDHdcTGmmJ/rmKqms5bn\nqOYNEbzDkS7J3wu6tnrehTXrU63nYx7O3N/dr/R1EGj1imIjK5NnQHWTiUunL82s81x62Jz4+/We\nwJXg2MowgHhCEYc40hdHJNuRxSjCFmcJDc8hrN6FSVMUKe7GxhpFEIPv49TXqGvqZLENzzVKHQyf\nq53KG9wn/KcdwQzfw06k/HIUUIUrfIrLOT/AOb8l4s/nEF9LHETbGizG2A8CeAuA7+ecc3HOOuf8\nonj9r6Dyil7gWw/XLzbzOvOZspa6WYZKwVW1irmpC6SwZak9iGGT+qg5OsqTrVpAaZOUx6RLHOkS\nV/vp4zWMjpcxYNVUAqns+WjYmgiXwRoVNDd1Qdkye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WVkqV0tYxjtFMpuiFc34wXHjVIO\ng3ONImDBfaNq/sIEMOrzbufYab5Rn4fn0O464649/Fn4fHHkPW78OPUzeG/jrisWm6y+pIce1gWb\nfJ1xg6v+jDLxE2gpkrJHo7RKnnxHSu0n6+8W5nKo511FpmTSquzVmC5xHPv6Lhi2hh2PNaE5ukoV\nBVrtKYJ1kEArDEgqcl7WVzWcXpbIV5CQjh4RpNHWVM9MOa6zTUP6nguqfvHUoxPQx2tK7XS2tZQ4\nw9ZU/aQkZJKwOds0FYwjezlKMiaVWi/rY3DGV/WhMr22mmeKJMuaU3mvgwQ1XeKKZEpFUJJboNV3\nUxLN8X+uKIUXaBHP3NSFNTWQ8l4MHjWw9No0pceKe+5lfaRLXIXvyNrV+QMNWLP+mt8RSTxdx1R9\nNLv7Zdtca22z2FwB4EkAqwCSLx15abp/V/+3MMbYek+qh40B3/VPP/fDz31hvedxtRFHDDqRmjj7\nqnzfSV0MHhdHLqNsnHEkt51qFmdDjSJGcVbXqM+jxghv78YKGr6+uP3jvqtujw/uG94/jvh2+s5P\nveMTSPxk28trYWM9qO2hh+sTm3md+a1gF8ORVk8iUbxQAUoZZQsFiFQOPVPByXe0eibKcB3ZOkJa\nXU3LRWY6A4AIVG7qAuzSMAxbhPAIQiZTSgFSMIuPT8C3GnCzRGjIckoEZuTHTqP+4G6gxEQ9JVMW\n0GqeCcsuRB9LBs8yW3bNwyNAtkXeGqL+UtpOPYt6NfqWJ0JnNJUI605VsOPTScy9pwZX2F59x0RS\n3JOgXdawNSzs86GPV6DNpZR6KMleusThOkHySdspobVFriW8rI/UdAZMhO/InpyZIqW0zr0ho8h7\nPe8qm+qClcNtd5zGuQd3o7K/isyhNH03+6t07UK5HTxqCKJLyms9y1HP0zwNh+y58h4mRVCTIuq2\nBthd9pkENtVa2xTKJADYT9qrAL4MYMRdcF+qz9efWe859bCBwPFr6z2Fq41jK8Mvs1nGkcJ2JCpM\nuMKIU746KZHhsaMQNVY7+2tw33YENkrVDB4fRZY7WVnDKl9wn7jzBOcQ/hN1fNy96eb7Cdtl44h0\nu/vXDoy3/9NDDz1cOTbzOmOGD3eqohI6kyUTQ896qhUFQKmfsndhNc8w9wZSIKXiljmUVhbS8iRX\ndXQNQaSSNimM3iPDivBJe6nspQgQYSk+PoF0iWPsoE7zslpJrYat4ekT2xVxHJwR6bFifJngOjjj\nq7RWqaaVJ7lqS5KbIStoOF1VqpqDRw2lOErlc/zTSZy9N6FIWKqkqZRTAKqtBwCVLus65hq1F8Aa\n6648j281lNU32LsTwJo2KpJI8kJLiZQkX9Z5Soux/A5kOFFjLoXyJMfQsx61NrFbgT/G2xcx9gSp\ni842UmIHjxpKcbRmWzbYZLnZIpYBO2/Xv29XuNbY/8/eu8c3dpd3/u9HtuTElhTHmczEo8kkaQjY\nEGjnBzOz6YVSMmxCd9tASyn0Rltayu6yffW6QC/b3e2vv2a7Zbfttts2SwuhF0hKCaQUkpJJ03IJ\nMwMYyMVOScIkjMbxXDyaI1kzlmR9f398z/fo+OQcSR5fZI+e9+ull62jc77nOUd+bH/03ET+XERO\niMijoW1jIvIpEfma//Xyrg1aR/pGTPp8GlsXO1D6dOkh0zQXWaBZ6QXNevNUaij1/l7bsda89PKT\nsSmg0fTRuIhYnMhMig5G6/XCa8TV+8VFw6Lpq0lrhM/fSUDGia+oAIyK5uj6SSm00f3ixFncfYxL\nR01av9P9avd+hPePrp10LeHX2kWUY+mzlCBF6Ql97mdmyQoNN5Kinm/i7R5cloKZOWJFpUvxDMZC\n+HV1TkAGqaG+wHKjQxb9aFhp0rTmNvoCydVmhuv28s82glRXIGiWMzbtdzL1Rdvp11ftCI58K7qa\nKtv5i85+N8rD1QuCTQ+t5SWYKdnMNajnm8H1LRQkEGxOlD57ywDDxVRrPIovTMMzN130MZwi7MSg\nE3tutMb8vnpwP1xkcKRognReZ7v73qUGp8u2jtNM2POOTlthmvZSy1Jh3YzMaqEZpMECzN5k6z/D\nArB0ZDunbkwH98x1hx0q2sjn7AErdmt5O0bEvSdB59qNTXN9P3BrZNu7gIPGmBuAg/7zntNXYtKb\n8k4B/wRctTi7WFosLmrtpLJqTM38t0fe8kiXv2G2Do+cuRLoXFMXJiqowt/HReSSBFZSumrYnui2\nOOLWiJ4/Toy1E55hG+JsCduTFLFNSo2NW7NdVDWJdoIvzs5uU23D3ydFY9uJ57b00YBnRekZfexn\nqfMSNHvJHhwJOqKOvPoEI0XD6LSQO9ZksVALuneCFVON48NBhG9suhlE9lzdH9io1kJBkJls0KgG\nCKKTDndegMXRARYLtaC+0R3X/LFTjD/QEroyk2Uxb9NZnbhxYsyJuFR5sDUqxBejQ0Wb3unEodsn\nXLPoBDS05kO6BjrQSkWVmWxQU+lShV3jGpd2Gh5J4mom3bVXC/b+uHmcTlS7++NGdTRzDdJlKzB3\nHGoJ99KksWNBoNWV1ReoGc+K06M/74vLaIMjP2rr5mc6e0anJUg9Lk2aQFzWc/b9dFFpIPgwoGtW\n6WvGmH8GoqPmbgPu9L+/E3hd9watH/1UM+n4e+CVwOD8P83/8/ibx79ZBiTda6OUrcnSuaVjAyMD\nf9RrO9aTTmmc3YqL8L5u/zhhGZfuGbd2NM0zeo5O4qZd6mjc6+1sCB8Td4/Ca3e6N9FoZXSNdimr\nUTpFZKPXlRR1TRLH7c7j6KZm0rZRv8j/k1WUHtPvftbMENTuLRQkmBHJB7axMGkF00JB/I6mtnZy\n9/1LPHvLQPB1xyEbHXTHu/TLZq5OPZdhdO8JO26knKKZa7DoC9I4EVLP25RTa4/dlvEMlYmGnUV5\noOHbYiNybiyHE2CViVqQQutGdYAVSdd/z9eZ+9J1fpprmloeP4oJYEWTmahQyg+T9sRvOmPHbdTK\ntp4S7DzNW//tYe77+D4rev3axXpOAjE6t9/u5zrBuqhoukywXnDNQa2pFXd2bIiLdPoNffw5kW7E\nSJhaOcNYqK61WmhSmWj4cy6tMBwrmqCuM1rDGWV+X31Z/We6DFWGwX9vXJMeR1iktqNLX9smIl8I\nPb/DGHNHh2N2GGNm/e+fA3Z0ZdA603di0pvyTuX35D8FHKifqh+rPl19eOSGkVf22i5la9I81/zF\nx9/++EWZHOTmTMaJvnZROUeS2HOvdUr9DB/brXjqJHzdmtE14tJS20VO42xoJ7ii9yLp3O55u2hk\nklBtFyWO2zfpHFE7otHbqMiPu0fLt/1SrB1RLvZ6LUXZDPSzn6UXCISKEwXlXS1x4MTSkGdr+pq5\nOrM3ZUh7sDhqBc/sgdqymYej00Ip3xJIJ5/YRtqzIsnNiwyLEVvTaBvfDBUzy+ZAOmFqhVGKOoPk\nn20we1Oaek4YLkogIAd3VskcybZSTX0h6aKBMw9dT7NQY34fQROb4aIVi05A1Rn2m/e07HNCMBxZ\n/bt/fgWjRUM974SVBJ1nneCGJbzdg0F95+yBBiN+gyKgFQX1Wueq5/DHpNhraOasKFwoCKPTsFAg\n6Gbr6lgX83bNtNeyIe2LwdyxZpAG7LCzIwl1lLXzJW3kNQVkEoWmq9uEVvruSujC104ZY16xokVD\nGGOMyObw6L5Kcw1xH7AEZOb/cf6zzVqz0ukARYnSKDe+NPPzM3f32o71IjxnMhqxciSla4ZfC78e\nrsFLWicuOpZUt9dO/LUTU0kRwfA+7cRdUlpsNCraTmhFBWTSft2k9HaTbhu1O+6exl1nu/Xjrjm8\nrd2HDcswIEvtH6uh26YFInKriDwhIk+KyLtC2/+LiBRF5Mv+47tDr73b3/8JEblldZYqyjrS5362\nlG41cQGCVMYwYcHgRl/U81ak1PZWGDucDprhuPmSAEOeWXbsYt7OOHRiyNXcOZyQdGmjGc8EjWGA\noKbw1I3poCawniNIfXUNf5xIcumYu+9fCuZMjh1OB8I37aWCTrDZmUyQmuu60VYL/jX5NaCVCZsq\n6mxytYIu2liaNMEsytmb0szelA7qL+cnbSpx+F67cw35Nri0WIdr8uMa9Li6SickXZ2ne4/SZbue\nmagEKbsuYlyaNMGYF2gJSXfcUDFD+nUngzrQ8GxJlzI8Oi1kcrWg2dFiocbotDyvyVAi6+drcyIy\nDuB/PXHBK60hfReZBPCmvFJ+T/4e4I3NavPZ8iPlg5e9/LLbem2XsnUwTdNsnmu+tdd2rCcuMumI\nSy11tKv760ZstEspja7fLs0zKZoYJnodUZuTUnKTtsXdlzgB2E5YtXu9XRQxbHu7aGpSim5SlDbp\nmpNsiG5fLti7i0yuc72Wa1pwu//P67uAd4Z3EJEB4I+A1wDHgCMicq8x5nF/l/9ljPndyDEvBt4E\nvATYCTwgIi80xqzy33JFWSf62M/MAIEwgdZMRicCXRTKjouoMXI4TbVgo1ulScPowZEgahnGzmVc\nnk5Zy9t02crNFZr+HMN6rhXlGn+4jrd7sDXrcO8CQ/cMB2vU8q0RJqmy7faaPTgSzJCsPrFtWRMc\nl9J5dMKQKgM0qRZguNiK1NXyEkRUtz26xPw+A2SCyKWrY2zmGoHYdc14Ml4ryuiin/OTBDMZ3XVn\nD474kddGEK0FW8NZ3pVqNRDKN4PzDu6sUj1ur33scJohX6zWyilGp+29WCw0/PvXilqOFA31mSzj\n081gzEhYtI8UbfdbF50Mz8csHdluhepM9nmpsPV8E4pC5kg2iGranw2zrJa08w9c97uugHuBtwC3\n+18/ti5nWSF9KSZ9HgJeC2RLny59efja4RvTV6Sv77FNyhahfqb+oSd++Ykv99qO9cRFJpNqFN33\n0DkClRS57CYltN2+7WxIErRx2zpF+7q5vnbbku5h3LmjAje6rVN6bTuRn3R9SRHdTiI2SjfvVyxm\n3Wu5bgNe5X9/J/b3/zsj++wDnjTGPA0gIh/yj3ucZG4DPmSMWQS+LiJP+us8vGaWK8pa0ed+lqrZ\n2Y6PfOk6gEBEOLEIVhjN76sz/sAg5V0CGF9E2WhZeC5ieCakEyNu9uFI0e4rM1lSeT8ddrIldM79\n7BlKT2xjcGeVxVyGDDC3H6CVjupSQnPHYG7/sJ9S2uAU20kHqZpCPd9KBR2ZTgei0NkUFmw7DkE9\nl2L2phRDRYLzlHzxaiNvGV/Q2nRSl9oKBLMaXapwWIC51OHBnXY+ZWnSMDptX5/bD81cLYgYOlE/\nOi2UsCm6tumRkH7dSYYf3G7rLf377Y4L9ik7USss5mVZurCNnNpZmnb+prWvmWsE8ybHHxj077e9\nZrfNdrlNMb/PXmdt7wIcHw7O5zrcdmQNfE1EPoj1p20icgz4DayIvFtE3go8A7xxVSdZI/o1zdXN\nnfwLYDsgp/7h1N+Zhql1OExRWDq3dIYl/l2v7dgIuqkfTEoPhe4at0S/jx7TbcQwLm00LtKZlKYa\nvtbw87j94+yPHhO3X7vU0XZpp92kzybZFT6+W9pFQ6MiNO5aV3o+6Gom1zYR+ULo8bYVLN9N04IC\n8I3Q82P+Nsd/FJGv+rO/Lu/yGEXZVPSzny1dCjMPXR+MlRidtkLDpXC6qNbY4XQQfYw2XHHCxB0P\nrc6pQFDPGJ79OLizyvy+up3j6K93pmwjcTKTZfyBQa7wo5IuNTYcBXTjP4aLKZ69ZSCwIWh0448f\ncdFFhxtHsuOQbVyT9lLM7bfHLhZqjE03A4HsriXcxdbZv1ioBamwbrRHcD/yzWDWpFuvcXyYVHkw\nGFFSyws7DrUiv9AaqWIFpwQdXEeKhjPlVv1nbW8liBy7tF7H7vuXgnRX9x46AZr2UiwWauSO2REl\nTkhG3996vhnMwXRptPWcFa+lSYPMZNlxyK47Oi2BAO2G1c6ZNMa82RgzboxJG2N2GWP+zBhz2hhz\nszHmBmPMAWNMtNtrT+hbMenzReAwMF6bq52tPFZ5oNcGKZsbY4xZLC7+zBO//ITXee/1xa8heVxE\nHhWRD4rIJe1qVlZac+LmTMLzRUycCOzm+yRRBs8XiXERuuh6naJo0WYx4W1xwjdOJIX3jzt39Jjw\n9nbfd6pBTEoXjrtHYbviviYJ9eh5ox8exN2HuHNHr++C6NxG/ZQx5hWhx7KudyLygO8L0ceyEgZj\nzIqGIIjIu4E3A2XgMWyNyv8WkU8BPwK8M1Ib9nqtoVQ2LZvUz3zSwAL2f9P9wO+JyBjwvcDvrvZv\nWsoPFzT8SJMjO5MJxBrwvKYxlQlbL+eEzHDRCpUhz6bDlnelgnETo9NWTDlqeytkjmRJlQeDkR6j\n0xKM43DHz0/aKJ9L/cwda1K5ecE2nSlYIeca/rgxJmPTzUD4BXMbc626P9d5tbwrFXRvdUJ67HCa\n2QN2FEe10AxSYKElEMOzGJ0Qc9ccThcG27invCu1LEJZ21sJZkSWd6X8BjwmqNccnZbWLMtcjdre\nCqVJO6rEjfoAggjo4M5qcN5qwc4IrUzUyHiGoWLGT2e1NaCLhRqZXI35SStonZB1TY7MRCV4z0uT\nNqrpai/dfsPF1LKfk1p+BTWT0FdjePo5zRVvyjP5Pfm/wubhXzr/j/NHLtl9yYvTl6ev7bFpyiZl\n8fji3z31m0/9Ta/tEJFrgbcBLzbGnBORu7E1JS8mpmZlNTUnSfWKSWmS0WOTUiijryftlyQckyKl\nYeJSTaMCrZsoXztB2y6KF7ctKWoYTSmOi/Al2d0uvTQuWpoU4Ux6L6L3LXzOuP3DtnQ1GsSYVacE\nGWMOJK4vMici48aY2TZNC4rA1aHnu7D/2Eb97BTwVuA9wIPAd9KqDXsRNhqjNZTKpmMT+1nR/5v2\nQ7R87ePAzVjfehw7I9z4z3dhheeK/qY1M1Z0lfL4DWfEF05WILgxFW5EhOt8ClaAXPmiU9Q/eiWV\nmxfIHsmymG81ekmVB220kBTDxVaaKUUrGoMGMF6KWr7VCTYQOSFh1sw1mD0A2SNZ5idbEb2RognS\nNs1EhdqRbDC2o5VSKkFdYO6Y7arqjm8cH7YRumIKMMF2l+bpcLMpXXQRWo2JXPTOTNhRJGnP1nCm\nPrDNXkeuJQDHDg0ze6BBBoJU2eC+YMVZLW/HnmSOZKlM1Bjylgt6mcm27s3xYUaLtpayWmha4Zmr\nAWk7ZqVgo4/pGVs/mpnJBFFcd856vsnu+5eYvcl2wh2btrWl7rqdeKwWmpiJajDfE1opvt2wFr62\nlej3yCTelHcGm9s/DnD6U6fvNUvmohtAr6yeRrkxV/1a9Ud6bYePB9SBS0VkEBgGjpM80DaoOTHG\nfB1wNSdtiUaoOom1TnV07mtc6mpcBDCcdpqUchoXYYxLeQ2fp5OYil5LO2GXRJwNnaKS7VJEuxXd\n0X3D9zB8XLt6yiQ726W4dlqzE6tNCeqAa1oAyU0LjgA3iMh1IpLB/qP6UayfXRvysxcAQ1j/uhf7\nj/HrReQ67Ic571upnynKRrFJ/exe7N+0Jq2/addh/ec24Lf9/T4I/ABwg//6iv6mpWqtlFaXgjk6\nLcuEUiA6cgSdT4eKNnJZOrKdhYKtg3QRrkyki6s71qXQuoiiE2vhjq1OMDlh6aJ0qfIg4w8MBmmm\nrhusq4Ws55tB9O7gB/cFUUmXfpoq22MX8xKIn7Rnr801/Amn9rqmMm7fer4ZzMWsTNRo5hrBGu5a\nM0eyQeRu4cHtzO3HrzdspbCGx3S4xj+OjGdTWOs5qNy8QMYzgSB3rzu7dt+/FEQ7FwotQZr2Ulye\nq9rxIF4q1MyoEqxhJirL7B7cWeX4TywG1+nec5fm696PHYfsNabLBB1oh4qZZSm+nVhnX9tU9L2Y\n9DkETAHji8cXz2i6qxLFLJnmuWfO/VjxfcVy573XHz9P/neBZ4FZ4Kwx5h9IrlnpquZERN7mamW+\n/I3hxDTLqECJq1lsF1WLRt7iRGL4XO0EUVzELEnYJIm76PXF2dxNJLQTcUI3TtDGRUOjdia9H91E\nNtuJ8fCa3Vxvu8hsp6hvGGm2f6yS24HXiMjXgAP+c0Rkp4h8AsAY0wDeAdwPTAN3G2MexvrZV4Hz\nwLdhoyDGGDNrjHkM+GvgeuzIqc9gfdKRWNsV9rWlysKqL1BRumGT+tlj/t+0k/7jPHAZNr18hzHm\nn4C7sZkA1wD/AeuHK/qb1ji/EKS0hsdghGcq5o41W2LIH11hJirB/q7eEPxaxFC9YVB3mLdRs5Gi\nCVIznTg7+gYTpKE6sThcTDG/r96KinopZg80AkEaTq10oirjGdKvOwm0ZkM6webWGPJaTYXS5da4\nj3q+GYw9aeYadjbk4bRtMLOzFJxndFoCu911uWtx4tilhqa9VCAOXTSwcrO93+7e7jjUsr9y8wIy\nY6O2mSPZoHYyHCVdKNjI8exN6WXRRTfmJF22cz2dQHf3X2aywb4ykw0EJdhusy4N2aX8ug8Owvev\nvCsVjI2Zn0wF9ZwrYZ19bVOhYhKb7gp8wH96yfyD84cXn1t8tJc2KZuL88fOv+/o/zj6D722wyEi\n1wM/j/10dicwIiLLoqYXUrNijLnD1cp8y9X2F21SvWPS992mfMaJomhKZVIktFPKa1SstRM1SSmd\ncce1i8xG7W4XgYwe363o6mRTnPhvF4mN0iltOe7cccfEvU9tMUDTtH+sgqSmBcaY48aY7w7t9wlj\nzAuNMdcbY34r5Gc7gUuxqXZ3E/IrY8xvAZ4x5kUsF5KdbAp8bSA7sqrrU5Su2KR+BsHftMuAq7C+\n9gVsmqs75reMMddjfe2TK7Ap8LPBS6yfVQvNIMJVmjRse7QVLXS1i05wuRRMl16a9lLLGsns/EyF\n+X31YOakm+k4Om2bwmSOZAPRNjptRZuLNLpaQNfwJdyEJiziqgXbjbW2t9LqgDppWPA7noZFjosW\nurEn7jpdXaGrt3RRPxcNdKJ44cHtDO6sBim1YG1zAnVsuhnUY7qRJC6amD04EjTsSXt2FqaL0rra\nTXc9rm7VNS9yohaWR0gHd1aDawaC+7NQEHLH7PZnbxl4Xr0nENSoOvHoRGNYaI68+kQwzxKWN1xy\nPwuLhdqypkjd/eCxrr622ejrmskw3pR3Or8nfyfwduDoiY+euHf8R8avHMwOxnUjU/qI2qnaE6XP\nlroPsWwMrwA+Z4w5CSAiHwG+FX+gbUzNSmydSqeTxAnDqFCLq9eLCotOtYlJIiYp7TMafYuL4kUF\naVxqbfQa21130vedUjvjRF1cpLTT/Ytbv11EMiliGP6aFNmNWz/umpPu+YWwST+p3RA/U5SNYpP6\nGWyArw3UraDYcQjKuwCs8Dr6hgZDxdSyGkMrXmxjlsGdNorm5im6r/OTKeb2D5MKUlFdeqsVHeMP\nDLKYN7aO0MsEMwtdo5yxaVuj6cThUNGKVyuqjF+neZKFB7dDMRsIQJvW6ae85lJBRM11LA3XJS4W\nbP3kkGcFtJsRmS5DM1cnVR4MiVrBTFSQmaw/+kOCqK0Tc7MH7DmcsHbX4LqqAsH4jbDodmM8wrWh\n9Rz+9VvxnC636lbBvU9ZJr/nKZ4qXh80M3LnmZ9MBdfnRnu4ezv+cJ1TpJeNSHEC2dU+1vJWPNf9\neZwuKhkmXYbxDwve7tbokW7ZxL625mhkcjkPA58Crm6eb9ZPfeLUXc1683yvjVJ6R8NrzJ89dPbf\nnLr/VKPXtkR4AvhXIjIsIoL9BHea5JqVe4E3iciQX9t1A7aTcSKPnLkydnu76DhEL6QAACAASURB\nVJx7HhedS0oZTapvTFo/KmSSaii7iVhG14lbPymtNEq7dNEkIR2XKhw9VzRaGl4zbr/otcW9H0nn\njdrdKVIZt/9Ko60BxrR/9IZ19zNF2VA2p5/BBvha3U8AmNvvN1Pxo2LXfjgilPw0VRcpc01gXKdP\nh4tCulpHF51cLNRYKEhQM1jPNxnde2KZkBwpGub2E3QTdSKlcvNCENlr5hqUjmwP6jIXCjba6SKP\nzVwj6GzazDXI5Fopp64m0c5KrASpmjsOtdI1XS2ouxZXi+mipq6LrLu++X31oDmPi67OT1o7M54J\n0kKrBRvVdWu6sShgU0tdF9Vw6uqOQ/Y9cfdsuGg73FYmajzypetsdNVv0lMtNINrcMI2O5NpjXMp\nw+xN6eUdYX2x68aAlCbNsvdz26P1ZfuGr+XoG8yyDr9ds3l9bc1RMRnCT3e9C3gKuGrx+OKZ0udK\nf+unCyp9RnOxef7s4bM/8dzdzz3Va1uiGGO+jE3N/gLwCNaX7yChZsWv7bob2xXvPuA/dOow6UaD\nJNXXxYm8lQiKqCCKS29NEnDd1A9GSUrJbHdMeN+w0As/4sRwWPxF013bCdk4m5IEcfg83dDtOZNS\nhMP2JInZ6NeuBaXZnPUlG+FnirJhbFI/g43zNZcy6cRHxjOcujG9bFakE4gupdPNUXTHu+gktEZ7\nQKtmMSpIXfOesJCc31cPZkq6yOBiocYV9wwHx7tUVzencaTYil66MSKOTK5m0zaLreilzNgo3hX3\nDAcCqbzL1me6a6gWmow/XCd3rCXsnNBz659+vZ2TmZ3JBJFA15THpeQOeYbFvFDbW1nW1GjHIYLr\nWCzUgpTTcMSwNGlTYHfsLLFQEAZ3VpfVtIZnYLpIqnsvnA0ZzwTvjUtTHvLvUz1HcM9cB9nw2I+g\nLtN/b6qFZvCeup8V93PhRp10ZBP72nogqpOeT35Pfgz4r9guft62W7d9x8jEyKt7bJaygZgl0zx7\n6OyvfeNPv/HbvbalVwztvtqcO3wJEC+2uolcRaNtccckrdvp9bh9250nak94W5RO6ZpJ15R0bKfI\naaf01KTn7a4zztZu1ui03kqvf2D8yS8aY15BG/L5XeYV+9/Rbhf+8YF3d1xnqzK0+2qz8xe7mKGi\nKAkcf8/vsfjsN9oWdamfXW2u+elfAFqispaXQGS5dM7SpB1y74SLm1noxNpCQQLR5qKKLnXSRe+g\nlWLqxI2LHoZFn2s846Kg4ZrI3fcv8ewtA4GdDifEnL2uUQ0QNBdyNZ7R1M78sw2OvsEEYzBcpG10\n7wlKR7YHNoON1p26MW1nOeZqZA+O2IhroTU2JJxS66jttamyi4VaUFPp7HSNgNw5wji73fvhBK9b\nz4nf8DXGpaaGI57BthxMvOopZh66nnR5+bU5G524dWNh3M+Bew/dvXz8f/yC/k2LoDWTMXhT3nx+\nT/4PgF8Bzp+679SnBy8b3DY0PvSyXtumbAyVRyt/efbw2d/ptR29xEYmfwtoX9PoSKoDDNNNXV2n\nmrtuhGT49bhjkq4lLgW3neiL7hv3fTsbkmzuFNGLu4ed0o+j29uJ/HDUtd29iNofPceK6icvsk9q\nFWVT0sd+NnCuFc1yAs1G0FKtjqR5AMP4A4PMHmiAl/HFxiDkm5Tytr6ucvMC2YOthj6p8mAg+Mam\n7ViOdDkTiB0rbjL+g1BDH2GhQEjEpZjfZ8Xas7cMMFx0NtnI4vxkyhdm1l5XhxmIXi8djLKwXWcz\ngahbKED6dWcY++iVlCbtdbuax5NPbCONjXY6m62QtaK3cXzYF7gNnr2lFR10AsxRzzdJ+0LSPXdC\ncrFQg2ImUhsaxqah2q62rUY7mSPZYOTH6MERFgqQ8ewRaS8V7BecP9Tx1kVUR4qGmYeu97vxNsh4\ntsmPTXm1PxOujrW8KxUIyaFiJhCz7j3rmj7yNRWTCXhT3tfye/J/Afw4cPS5Dz/3sfEfHM9ktmcm\nemyass5Un6p+dv4f59/uTXmankZ3giBOoHWT8tqpDjFKnECMi4rFCUq3b7soZnS9pO+7iR5GzxeX\nCtsuKtpNdLRT9LWbKGjSfUj6UCAptTfMcrt+KfEaAgx9NeBZUXpCn/tZM9+K6NmIojwvqgVWIJV3\nua6iLUESjorVZ7LM77OCyUW2KhO1Zamp1UKTF9xV5ZnXZoMImBN2NjWTZdEvh3vddSx1Ubq5/dDM\n1UiXM4HocQIzXYZF/7yVm+2oobGDIwx5TWb9gSnpMpSObIeCbb6zmINyORMIRjDBzEYnykqTTa79\nsHDqRnufvN0SNKuBVBBxdffA3c9UeZBmruGLaMP4w3Vmb2pFAKPjTJzg3PZoAxhkfp+9TrBRxGdv\nGWDHPcOUd9kmQUPTw1bc5ZtQbK2VLtt7te3ROt7uwWXCdaRoqJWdqHcpsBI0BhoptjrOgm2gND9p\nhXSaldZL9pevac1ke/4ROwvpGpYwz/3Ncx+un65vuvo5Ze2ofr361ZN/d/I2b8o712tbNgPRGrnw\ndvc1SfBEBUq4ztDRbu0wcXV8cfWCcecMHx+OuoWfR88TJ2y7jcrGRfai54xeZ/j1dkKyXSQ4eh+S\n7kV4raQoaFLkM+6eR21KEuDt6dCoQMsxFGUN6G8/S7n5hF6KwZ3VoK4vKhLCDW9Kk4bsjI1ONXMN\nansrlCZNIAqdCBwupoK02CBF00vxLz+VCWod3biRdNk2s3H1lK4bqUuHTZd5XtRubNqKsPEHBqkW\nbNfZ8LiNjGcCW2rlDI3jw8HsymDUhl+XmS5bsZcqD9rmPPvq1PISzMZcLNSWNRU6dWPr+Pl9dTKe\nCUZ2QKt2c7hoo4SuMZFLDy1NGo6+oTXCJHesyTWfrAS1jk5c1vNNnr1lgNKkbZJTLdgmP6duTAf3\ntVpoUitngut36ayuXrJasM2OZm9KB5Fit7a7p5WJmq0b9WeGulmfpUn7vlcmaoxOS3BvB3dWbf1s\nuRXZ7kx/+ZpGJtvgTXkmvyf/IWAI+E5TN0ef+5vn7rrqTVf9SHo0vbvX9ilrS/Wp6uMn/+7k670p\n73SvbdmstBMwSSLJfY0THUnRyCSB140QjL7WKUIaFVzd1A22i4Z2ijxGzx0+b9xrcXbF2R23dpxd\ncWsm3bu49y3O7rDQXFFqa4h++hRXUXpFP/tZM2OFzY5DhnI5S6PQXFY36KJ9Q56tY6zcXCE9Y1Ms\nZSZLtgyQ8RNVM0Fzl8VCjbQv5FxE0YlNl14axtUM1vZWwE/hTJUHl9VYOhZDqbhgZ0c2c3a/hUKr\nEZCNcNp5mWOH01ZAMRhEF0enbdRy5HA6SJF1MxjH/LRZsN1kh2ayDJXqpMu2FhS/vjJdhvRMhlre\n3o9moRWJbaWa2lTVjGfXahwf9qPBg8FIk/IumD2QAeq88L01jn97tjVixG94VMvbFGBopffaJjp2\nzIprYgRuDqb4Yg9SH9hGelfoHoaiwbW8BPNDhzzD7AG7j0vtdYJ/yHPdXA3pmaw/SoYVjgbpH1/T\nyGQH/FTHDwCHgGua55v1ub+Z++tGuXG8x6Ypa0j1qer0yb87+QZvynu617ZsFqKjQToJi/A+UeHW\njSiLniNJnMStH7dWu4hnOErabSpudL242sFOaanR9bpJqe20zmpIEs/hyG+S8O92W1f0Wec7RekJ\nfe5nAyMNmrkGc/tbcxmBYGi9G1I/e6BhI5IHR4LolaNaaAadQcEKLCdOwhE2l9I6Nt1kbLoZpIMC\nQQRRZrLBGi7VNeMZzESFdNmK2/BIitreStDF1XU7DaKZfiRw7LCtmQwayvivhaN04w9bETY6bTun\nzu+rM1K0AjpzxNp09A02SudEmLv23LFmEDF0TXgWC7VA2LlZmKVJQ+ZINhhT4mZSOvHr7sGpl41Y\nQe53WHXXWs+BmagE9af1fJPKzQvBGq7RUTDz0l837aXs/n6UElqRU5d67Jr3uFEilYlaUHvpzu/q\nJl3X18pELbi2rugzX9PIZBd4U14jvyf/Xmyi9cuWFpaenfvw3F/u+IEdbxnMDu7otX3K6qg+XZ05\n+fcnv9+b8qZ7bctmwjXgias5jItmhfcJb+smihkX2UqKLCadu5soXbuIY5JojJ6z23TRTumq0XuZ\nlAabJIqjQq/bKGjctqR7G3e/4q6z2+tuSx99iqsoPaOP/cycGQzSTQd3Vu38yJwfffJr/cxEBcoZ\nP+3R/sdvB9zTioxhgkicE5XVgq3BNBMVmuUMizl7XHmXhMZgZMgda0XgXEMaN17Dplg2SB0fRnxB\nU8+1omGZgyOUJpt+U55Wt9YF7MiK6vFh6rlUILSCsSP5JulyyhdDwuxNNm21NGkYPThihdU+27HV\nzZlsRfIIda9NMbe/uaym0orLVkMe1znWicXFQo3Fgo28urTR2t4KtXImiGqmywQ1rO45QPX4MKdf\nb9+nHYcMp19PUB/qutE6wbhYaAQC3tVaBu/7RIXMkWwQfZzfZzvbjrz6pK0hxZ+H6a/hzu9wDZaG\nYpsGtaGPfE0jk13iTXk14E+wg3WvbpxtnHvuQ8+9r16qP9Nj05RVUH26OnPy4ye/z/uiCskoj5y5\nsm1NHcTXQcaRJOTapWImRTjDIiru/OGoWvj8Ubuj1xLdN+71lUbjktKCowI2LMBWIsI61TBGxXmS\nWEyyKbpG3PW1E9kriVKKMW0fiqKsnn72s6VLCWZGhsdzuKjUSNEgM1nGDqeDofVAMK/QjbYoTYaG\n2Ps1dGmvVc83djjtp6FK8FrumI3mze23a5qJiq2xLLvU29Y8xXCEzkXF3IzE3fcvUS20ooOu9i97\ncCQ43tnlmsoM7qwCNprnxJeboekE8VAxg8xkl70O/rlD9YZubTdz0QljV2tZLTTZsbNEPUfQdMhF\nBl1kr3F8OJhVuVBojfdwsyLBCs60l7LRzbIV1o3jw0E0drFg74lr8uPEr6sPNROVoK6zcXyYes7e\n3/GH66TKNuXWjUIxExWGiyle+N5WBDo8/9Pd18X8CoQk/eVrKiZXgDflnQf+N/AUsHupsrQ4+1ez\nf1E7UZvpsWnKBVB5vPLlk/ee/H4Vku3pJMSSBE2c0As/j3strj4yLuIYl3KaVEOYJAaTRGj0upPS\nYNsJrGi6b/TeJAnA8HV0EmNxIrHb6GP0XO2iotGvcfuvVDg+DwMsmfYPRVFWh/pZQLpsRaKLQrlm\nO6N7T1DLix0LghV2LhpWzzeXdXSFVuRvsVALBtw7gTa69wRghc/8ZIq0Z8d6DBdT1PzopxMrswca\ndtyI34wHWkI1VR5kpGjTTo++oRVFda/ZukizLMU2LCxrZRulHH9gMEjbdKLWpeC6e+LEWXlXq+Pq\n6LStAa1M2MY87vwykw1Sd0uTNrq64xDMHR8lXbbni2twE25+tFioBamyLq20nrOC0zXVcWIa7Pdu\nzqV772p7K4ENpUkTHL/zfUPBe+iaGrn7ly63BH324AgZz3D827PBe+YaCdXztvOvWz8atUxkjXxN\nRI6KyCMi8mUR+UKXZ99wNM11hXhTXjW/J/8/gZ8B9pi6eWb2g7N3b79t+y2XXnvp/l7bp3TGNE3z\n7KGznz176OzbvSnv8V7bs1l56eUngauD5+0iVd1sa5fCGv4+Lm00SbjFCdx2Ub/ovknnTNoWPW/c\nuZMijN2m57YTv+3uV5wNSfco7nmna4vbJ+6eRO0Z+LnYJZYhXHyf1CrKZqPf/UyWXD2eFV0ZT/zO\nrcbvRCrM5UYZ80ww2qJaGGR0WgKh47p9umjb6N4TLDy4HcgEqbC1vQtcnquy8OB22+glNBLERTTd\n2AlodW7NHhyhcnOF7JFWhNCxUBC/iU4mOL9LtR0pGkr+LEpn4wIpRqch/2wDsGm6swcaQU1l1W/e\nY0UuwfxFYFmaanYmQ+XmCte+b4jZm9LMT1qhVZr06yD9hj7u3POTBHWM5V2pIEXYMVxMUfey4Ite\nJ9BT5cHW/MwyuFiXa0rkopcj02nm99VJe6lAdLvRHU6Iuvsxe1OatD+P0t1PV5damjQMH8mSAb9B\nkf0AYO74KKlCk3rOCs4dh6zwHtxZ5Yp7hoNGPB1/1tbW177LGHNqrRZbD1RMXgDelHc+vyf/f4Af\nBV6F4dkTHz1x39irx+azL83eKiIri4UrG0az3lycf3D+voXphV/yprwne23PZibagMcRJzCS6v8c\nSRGzOLGUdL64/ZLSSKM2xYmeaNQzTqhF10qyKXpNnba1Wy8uQhuNvMZFSqPrr8TWTqm7SeeJE+kr\nSdNdxjr+kysiY8BdwLXAUeCNxpgzMfvdCvw+MAC81xhzu7/9LuBF/m6jQMkY8y0ici0wjS1/APi8\nMWYVIVpFWWf62M9kiaCj50hRgrRVK9LsPlb82FmKtb01pJhhfl8tGF6fnsmy6EfJRoqGSx++nPpu\nEzR3gRQyk6VElkVf9KXLUC8PYiYq1P2mO4v5VsfXsekm5bLtzlor226xw0UrlqoF+2+6maiwQDYY\n6wEE8yQXyDK4c4E6w9TzNpI4v69GPT/IkDcQ1DG6Lq9W0LbEqotMjj8wyNx+/NmYVky6KN/sTall\nUdxmrk66mPFFpbTSVHMSpOc64e4E4eDOKlWGSXup4PqsqE4F3Vldc6GMZ9N6F30bdxyCxbwVz+MP\nDLKYNyz6IraZazB+v3DqxrRNySUVzI60xwmQChr71HP2/Q13zS1NGkanIV3OBMIz4xnmJ1MMFyF3\naHjZDMqu6KMPblRMXiDelFfP78m/H5gHvg84Pv/g/OH6mfr86LeOfl8qnbq0txYqURrlxpmTf3/y\n7tpztd/wpry5Xtuz2Qk34GknWqKCLUkgJkUd416LS/XsJMii+3QSdlEx1y7CGL2GTq/F2RtnY9iu\ndvu0E31xJN3n6DFJQjd6zqRoZ/j7ZJH/S7E2LsOlBK0f7wIOGmNuF5F3+c/fGd5BRAaAPwJeAxwD\njojIvcaYx40xPxja7z3A2dChTxljvmU9jVeUNaHP/Wyg3hINQNDApVrAisdQ59R6vkmznGGI1r51\nv85yseALsKJw7mfPwEev9NNeU4EQGdxZhXImqHkcO5ymxDCjvphdKEgQ3XRptEDQiMd1dw0o2mjl\nYqERRAOzfvMcsM15XIRzoUAgUuf2w3DRrlvLSyDynLCz9Zkpvy7R7nvqZSNAa1RKq3mPJePBSLE1\nYgSs2J0vtOojXV2jq5msFppBJBDsuI/cscGgU2utnAquNxwFduuVd7VqKt28SZfimy7D4mgzaFbk\nopij08Lcfit2zUQl6J5rr8E2I7LvrRW2C4VMUA/asqNVL+m6wHZFd762LZK6eocx5o6YlR4QkSXg\nT2Ne3xSomFwF3pTXBD6a35OfA94GnClPlZ88f+z8H1/5b678/vRo+poem6j4nC+ef+bk3598b7Pa\n/ANvyvN6bc9WoV2aZZg4wdFNCqbbFvc1+n00otgukhg+NiltNPq82whp0rrRfZPqIpP2i7MlaZ+4\naGU3Ij1qS9L9SIrKdkqBjbOrW9Y5/e424FX+93cCDxH5JxfYBzxpjHkaQEQ+5B8XpML7WSdvBF69\nnsYqynrRz362lMZvOmPTU0tPbAtSI52AHC7aERbzkynqDAY1iK5W0s0ptA1xYOHIdkZopZtmPPFn\nPA6TworV7Ewm6MJammwGUTMgqDlMz7hZjil2fqbCM6+1nWbdaAw7ozFFupgh3E0W8OcyyjIhBDat\n1UX66rnUsmvkSBbJEaT5psutMRlZ3xbXTdalBANc/cNP85WvXc34A4OtFNtJY4V3sSV+bXOjVufc\n4SPZZdFRJwiHixLMk3RdXgEyXpqRV5/i5BPbaLV3sfvmjll7XC2jTXfN+E2HXGpqk1K+1RyolLdC\nvnLzAtmDI4Gdtb2VoCFQ7lhzWfSx7kerM56NmroU2W7pwtdOGWNe0WGfbzfGFEVkO/ApEZkxxvxz\n10ZsENqAZw3wpryHgd/GivOd9ZP18vEPHL9z4WsL/2RMH8W5NyGmYWqlh0ufm/ubuV9pVpv/XYXk\nyohG4Dqlr7ZLdQxH7dz30W1J60bX72RLXNQxKpCSRGwnIRSNTCZtixOY0ehl0v2N2htdLy4CmCQa\nO4n08LZO0dyocI17T5OiqO0x0Gy2f6yOHcaYWf/754C4kU4F4Buh58f8bWG+A5gzxnwttO06vznC\nP4nId6zWUEVZP/rbz5oZgpmRpSPbW0Ku3Er1BFsjZyZsN9FmrsFI0QT7hucXupq9VkRQAlG345CN\n/rmOoM1cI5hF6RrSDBdT7NhZCjqQOlH7zGuzy2xxazoqNy8EUUZ3XMazHWGDWYn55rLIZrpsr911\nnYVWyi8sn8nousVWC83A1lreirdHvnQdmVyN2QONQNAOF1NBkyDXQTZss+sS67qo1vPNVpOhXCtC\nDLamMVUeZH5fndKR7YxO2+u0Qt1emxN8rvnR2OE0Gc92rR0uppY1T3KNd9w1yEw2aFZUmagFTYRc\njWe4VtU1MarlhVR50I9edlvFtja+Zowp+l9PAPdgP4zZdKiYXCO8Ke9fgF/Hfrr2TTRJn/r7Uw/N\nH5z/QHOx2W3/J2UNqZ+pzz5313MfPXvo7LuBD3pTXr3XNm0lXM1kXKQpKmY6Ra86pZRG1+iUnho9\nX7vIYFK0Lk7QJtFOXMbdl3brxQnFdkI4ul/0+CTxGN2eFBF230dtj4t8xh2XdL0rikwabH1Ju4ef\nEhR6vC28hIg8ICKPxjxuW3Yq+wHfhX7I92bgg6Hns8BuP/3uF4C/FpF87JGK0mv63M9kiWXRs7HD\n6aBubnRaAsEHcMU9w0FUcqEgQfpputxK7UyVbbfS8YftvxYjRROsNz9pR1mAFUsuIheu0wOof/TK\nYDyGE2Kuk6gTcs4+h4veOXvq+Sa1vI32RSOU7jV3XSNFEwhcN/Ik7aWC/V1H1+B4397wGA6w97E0\naQLxOlxM+bWUDUqThtwxGwENR0rdbM3BnVWyM5mgS6yzLTyaJDtjmxbln7XvyZDfNMfZkn7dyaAT\nrBOHjePDZDxjI6t+DWe10GwJbF+4umhlqmwjz64G1UWfofVBAbRGmmRnMnYOaTd052ttEZEREcm5\n74F/DTzanQEbi6a5riHelHc2vyf/B8AB7C9Dr/Jo5ej5Y+f/5Mp/c+VtmSszL+yxiX2BaZpm5ZHK\nl+cfmv84hju8Ka/Ya5u2Ii+9/CSHu0xpTYqAhYkKjyShlBTtbJeGGid24wRnkp3t6v462Ri3LSlV\nNrx/khBrdw/ijo/bLyldNXq+pPck6fravd/d/Ay0QzrXl7RNCTLGHEhcW2RORMaNMbMiMg6ciNmt\nSLh9Mezyt7k1BrH18S8PnXMRbI8IY8wXReQp4IXApm3hrvQ3/exnsmTFle0aKstqCHPHjN9tFdKe\nUN4Fu++v4+2WIMXRRQ7HpptB9GuomGH2plbN4NjhNDW/xnCBlB+dS1HP2bo9OyvR1uilyoPUc1bY\n1Pw0U9fNNNzEBvA7zkqQNutEILTmIS4WbEOb2t4qeNmgdtCuYdNzXaOh8YfrzN6UDu5NuDPs2OE0\npclQgx7fhnDtoyW1zF4nvi3NZWm19XwrWprxbL1lxmvVco5O22t3EeDKhBVvp25kWbTQNfOZOz66\n7D64iPOQNxjUXLqvYJ6Xztt6zQpHmz6c8u91MxD/ru7TNexxQr67n7dVJybuAO7xe3oOAn9tjLlv\ntYuuByom1xi/jvIf8nvyTwL/Hri6UWocm/2r2Q9etu+yyfzL87emhlL6yfU60ag05k9/6vRnzz9z\n/v3Ax70pr9bpGCWecDfXbkVYUvQwSTjFvR63liNOwETP307URPeLrtspspgUnUu6D0miKrx/O+GZ\ndK1RGzsJunbvRdL54wRs3HXERZYviPWtCLgXeAtwu//1YzH7HAFuEJHrsP/cvgn4odDrB4AZY8wx\nt0FErgTmjTFLIvJNwA3A0+tzCYqyBvSxn5kBm3paYhiwwiKYdxhqvrNYqJGeyQRiy4kW13F0nkww\nmmPIs8IydXyYIb8ec7FQC1JXm7kG6aI9PnMkyxXHmsH4jJaIIVSLJ8Hoj0AA+d1Pw5GzsNBMl93x\nGeb2N0n7jWbCUcHwuI90GZ69ZQBorecimgukGH+4zkIhHaw7v68ejO6gKH7dZypIZ60WrECvTFRZ\nzNl7M7cf0p6NqA55rslR61xAMF4kd8yvUfXFqLt/YUHrrsfsrFHPtZr6uA8GnIid22+PCQvp3DHX\nlbU1CiaMO1cz16BeHvRTYpfXfabLNmU2PdO9mFytr/l1xd+8qkU2CE1zXSe8Ke9p4DeAw8B1wGVn\nD5+dLr6/+IfVp6ufNU2z6uIEpUWz0TzvTXmHjr/v+J3nnzn/i96U9xEVkqvDdnN9fqpkUspqOH00\nrvYvKXrYTUpreP2wLWExFic0k2r6ktJ2w8dHv4/uF10/SXwlpdF2EnhJ9y7unO3s6pQ2myTwo6/H\nRXmj52uXEtsWY2Cp2f6xOm4HXiMiX8P+s3o7gIjsFJFPWBNMA3gHcD92DMHdxpjHQmu8ieWpdwCv\nBL4qIl8GPgy83Rgzv1pjFWVdUD+jcXyYHYdaXT8dLoUSWuLRpZoCvnA0QUqki+SVd6UYKmaCNFRX\nwwetbqYuhbVasKIJWuLO2eA6vDqBuFioBbV+Y9O2xjBss0vfrO2tUM/B/L56UNtpxU/L9nSZQEg6\n0TpcTAWzFV1Kp4vwzd6UXiZW3f61vAQzHl36bD3nRpHUyR4cYexwmtG9J+za+SYLBWF+snUud/6w\nbbMHGsvST7MzmaDh0ODOqu2M667Db57j9p/fV/dnZNaCOleXXutSgE+/vmqb8/j3Cfxutv69tDM8\nJbhOd90ucu3GmLjIdFesv69tKjQyuY54U95Cfk/+DuCzwI8D1zTPNY+fvPfkA5dcc8lXxl419t3p\ny9PX9tTILY4xxpw/ev7R0w+efnypvHQ/cJc35VV7bdfFwCNnruRcQsplt5c+EwAAIABJREFUu+he\nkkjqRjwl7RfeN3yOTimz0WO7SYWNWy9JVCalvEbtjZKUopok2OLWi7tPcVHS6HpJabRRQRhet939\nbBfhtM+7GA0C6xoxMcacBm6O2X4c+O7Q808An0hY48djtv0t8LdrZqiirDd97GeD560wKO8KRfW8\n1liOaDMYN4vSvia+6DAsFKz4HNy5QH3Gzn50I0cWsB1bdxwiqMlzIs11A3WRtLCYzXiG2t4FMkey\nmJxtDOPGitT21sgeyfrzFyVIVQU3HsTOsQQXZWvVCLqomjsvSBAJtCM+WvMazUSFsYMjfgqqHZ3h\n1nIRShc5dOJ0seDPs/TncWZyNRpPbCNdsJ1XneguTRp2HDL+qBJZ1mG21SVVgnEcrktseiYbNPIJ\nR0nrefteLmK7t85PZqjnBxktug6vdShm/GimFY+LOdvcZ7iYCuZdOhYKwo6dJU6Wt9lo8kyrLhUI\nrntF9FH/TY1MrjPelGe8Ke9R4FexvwyvAq46/8z5U8fvPH7n2cNnP7J0bul5Q32VztRO156Z+/Dc\nvSc+duKjS+Wl/wy8X4Xk2vHSy08G37eLOEWji0mRrfD+3aR5xgm6qIgMrxe3Lc7GuJTNpAhpdK12\nAjEs1KJR13YRunZ2xx0bFd5dR/9izhclbH87YdtObCd9GNCRVTYrUBSlC/rYz5opfBHT6t7qhGRt\nb4Wx6WYQaXORuHCUz6W5mokKw8UUV9wzzGKhRmWiFjSeATeagmDWoYsMVgvNQJyOP1wPImilSSuc\nGseHrbg6OBJEMrMzGWplGyl1XVxduqur+8wds+meLrrZzDWoTNQYKZog0jbkmSBt1c6OJIg0Dvlp\nuDKTDVJQw+mrrtlONibFM5Oz1+6uUWaygUB3ghD8qGdegprI0qRZFj0Nxpz4aa9WnEsQbXX319Yv\npoKU2exMhkU/gugilUOe3c+OCmmSOZKlcXw4iCq784Sjo2A7/Ka9VBBZzng2DXfHIft6qjy4rIFT\nR/rI10QnV2ws+T35Hdj6gD3AKcBjgNToTaMvzb44+x0DwwNX9NbCzU+j3Hju7JGzj1a+WnkCmw7z\neW/KW+q1XRcbInISWMD+nG4mtrH5bAK1K4lrjDFXttvhsqEd5lt3/nDbRe47+r++2MVMri2JiJSB\nJ3ptRwy9/tlJQu16PupnHVA/WzFqVzzqaxE0zXWD8aa8ufye/O9hi2p/CLiWJeZLnyl9pfS50ldH\n/9XojdmXZF85MDKwrcembjpqp2tPe1/0phceX5gD/h6435vyFnpt18WKMeZKEfnCZvtltxltArVr\n1fT3B5tPbMb3aLP+7Khdq0D9bNO9P5v150btWiV95GsqJnuAN+UZ4Mv5PflHsaLyB4BraXKm9LnS\nI6WHS49etu+yyeyN2e8YzA1e1Vtre4tpmmZtrjZderj0L+efPX8W+DzwUW/Km+u1bYqirBGGi64h\ngaJsOtTPFGVj6DNfUzHZQ7wprwF8Mb8n/2XgZVhReR2GM2cPnX387KGzjw+/aLiQe1nu5UNXDd0o\nA5Juv+LFQ7PerJ7/xvnHSg+Xvl4/WfeAB4EHVUQqykVKH32Kqyg9Q/1MUTaGPvI1FZObAL/ebyq/\nJ/8V4KXA9wPXAPXqE9W56hPVeweyA/fnX55/yaXXXfrN6dH07p4avE6Yplmqn64/uTC9MON9xTvD\nEuew6ayf8aa8s722r0+5o9cGxLAZbQK168IxBpb6uux5s75HatfK2Kx2WdTPNuv7o3atjM1qV4s+\n8zVtwLMJye/JC3Y25SuBb8OK/rNACWBo59Dl2ZdmXzI0PnTD4GWDV4uI9M7a1WGaplk/U//6ua+f\nmy5PleeXFpaawAls2/BD3pR3vscmKoqyzlyW3m6+9Yo3tN3nvrk/vmiaFShKL1A/U5SNod98TSOT\nmxC/pvJp4On8nvyHsXWVN2MFZnPx+GJp8fjiZ4DPDOQGLsm+JHv9JVdf8oLMlZkXpDKpbA9N74ql\nhaWTtVO1r59/9vwzCzMLlaWFJQHOA58GHgaO+vdAUZS+wPRVfYmi9Ab1M0XZGPrL11RMbnK8Ka8C\nfBb4bH5P/irsSJGbsGmwZqm8dP7s58/+y9nPn30MYPgFw+OXXnfpdekr0uOD+cGrUpemruhl5NIY\nY5rnm2fqp+tHzxfPH12YWTjRONNIAwIsAYf8x794U94KJ8IqinJRYMCY/vnDqyg9Qf1MUTaGPvM1\nFZNbCG/Kew74JPDJ/J78KPAC4OVYgZkGqD5ZXag+Wf0CUANIXZpKX3rtpVcNjQ9dlR5Ljw/mB3ek\nLknlJS0jaykyfdFYWqosnWx4jRP1+frJ2lzt5PlvnK82F5tZYMDf9QTwReBfgK97U97iWtmgrB0i\ncivw+9j37b3GmNs38NxXAx8AdmB7ot1hjPl9EfkvwE8DJ/1df8UY8wn/mHcDb8V+QPGzxpj718m2\no0DZP0/DGPMKERkD7gKuBY4CbzTGnNkou0TkRf75Hd8E/GdglB7frxXR7L9kBPWzRNuOon62PvSh\nn0HvfE39bMU2XRx+Bn3la1ozeRGQ35MfBHYDLwImsM43AjSBFFAFKsAi9pcZpJD0WDqbvjydG7xs\nMDeQHcgNjAxkZVAykpIBGZBBUr4ANPYYs2TqzcVmtXm+ea55rlldqi5VlxaWqo1yo9o406g3F5tD\n/nlToXPPAVPA49j01coG3RblAhGRAazYfw1wDDgCvNkY8/gGnX8cGDfGfElEctgPH14HvBGoGGN+\nN7L/i4EPAvuAncADwAuNMWte/e7/8X2FMeZUaNvvAPPGmNtF5F3A5caYd26kXSFbBoAisB/4CXp8\nv7rlsoFt5qbs97bd537vfRdNfQmon3Ww7SjqZ2tOP/oZ9NbX1M9WZd+W9DPoP1/TyORFgD9i5Gn/\n8Um/gc9lwDjWuV4EXA9sx4pJQxPqp+pSP1UXbHOf01gB2Az2samo+F8HsdFPl6Lq9hvwz1UGnvFt\nKGI/PTrpTXkL63rxynqwD3jSGPM0gIh8CLgN+4HAumOMmQVm/e/LIjINFNocchvwIWPMIvB1EXkS\new0Pr7uxrfO/yv/+TuAh4J09sutm4CljzDNtEg96fb/i6b8PNtXPVob62VrQf34GPfQ19bNVsXX9\nDPrK11RMXoT4zWtK/mMaOAiQ35MfALJALvS4DCsys0CG5YLR0cCKxRJwBljARjvd47Q35VXX+7qU\nDaMAfCP0/Bj2k8ENR0SuxaZxH8J2Nv6PIvJjwBeAX/TTbwrA50OHHaP9H+vVYIAHRGQJ+FNjzB3A\nDv8fBoDnsOlMbLBdjjdhP6V19Pp+dYnB9FEbdR/1s2TUz9aFvvQz2CS+pn62Yraon0G/+ZqKyT7C\nn2d51n8oyqZGRLLA3wI/Z4zxROSPgd/E/gH8TeA9wE9usFnfbowpish24FMiMhN+0RhjRKQnH0eK\nSAb4XuDd/qbNcL+6w7Cu9SXt6oAi+/058G+BE8aYG7s5ftPW63SJ+tnKUD9LRv0sGfWzlbGl/QzW\nxNd6WVO/UlK9NkBRlE1HEbg69HyXv23DEJE09g/vXxljPgJgjJkzxiwZ2yLt/2JTWTbUXmNM0f96\nArjHt2HOr4tx9TEnNtoun9cCXzLGzPk29vx+dYsBzNJS28cqeRdw0BhzAzZT410J+70fuLXb4/16\nnTcBL/GP+z9+nU839Px9UD+7INTPktmMfgY9fi/Uzy6ILetnsHpf83++/wh7H14MvNn3g02JiklF\nUaIcAW4Qkev8TwffBNy7UScXWxzxZ8C0MeZ/hraPh3Z7PfCo//29wJtEZEhErgNuAA6vg10jfgMF\nRGQE+Ne+DfcCb/F3ewvwsY20K8SbCaUE9fp+rQhjwDTbP1bHbdj6H/yvr4s3w/wzML+C44N6HWPM\n1wFXr9MN6mfxdqmfrRf96WfQQ19TP7tgtq6fwVr4WlDna4ypAa7Od1Oiaa6KoizDGNMQkXcA92PT\nK/7cGPPYBprwbcCPAo+IyJf9bb+C/WTuW7Af+h0Ffsa39zERuRvbTKEB/Id16uS2A7jHbwQwCPy1\nMeY+ETkC3C0ib8U2oXrjBtvl/hl4Df498fmdHt+vFbHO9SVJdUCrPf6C63XUzxJRP1tH+s3PoOe+\npn62Qi4GP4NV+9qmqPPtFh0NoiiKovQUEbkP2NZht0uA86Hnd/gNI9waDwBXxRz3q8CdxpjR0L5n\njDGXJ9hyLfDxSC1XKe54EflD4PPGmL/0t/8Z8EljzIc7XIuibDjqZ4qyMazW10TkDcCtxpif8p//\nKLDfGPOO9bB3tWhkUlEURekpxpi4+qmVrnEg6TURmRORcWPMbKQOqFuSjt+U9TqKEof6maJsDGvg\na1vqZ15rJhVFUZSLnaQ6oNUevznrdRSlN6ifKcra0NOa+pWiYlJRFEW52LkdeI2IfA044D9HRHaK\nyCfcTiLyQeyw6xeJyDG/bijxeL/uytXr3McmqtdRlB6gfqYoa4AxpgG4Ot9p4O4NrqlfEVozqSiK\noiiKoiiKoqwYjUwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIo\niqIoirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIo\nirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJi\nVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwq\niqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIo\niqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIoiqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIo\niqIoK0bFpKIoiqIoiqIoirJiVEwqiqIoiqIoiqIoK0bFpKKsMyJyq4g8ISJPisi7Yl6fEJGHRWRR\nRH6pm2NFZExEPiUiX/O/Xr4R16Iomxn1NUVZf9TPFGX92Up+pmJSUdYRERkA/gh4LfBi4M0i8uLI\nbvPAzwK/u4Jj3wUcNMbcABz0nytK36K+pijrj/qZoqw/W83PVEwqyvqyD3jSGPO0MaYGfAi4LbyD\nMeaEMeYIUF/BsbcBd/rf3wm8br0uQFG2COprirL+qJ8pyvqzpfxscC0W6XdE5P3AMWPMr61ijR8H\nfsoY8+0Jrz8E/KUx5r0Xeo71QkQ+C7zDGDPVxb6HgZ8wxjy2/patnlu+a8Scnl9qu88Xv7r4GHA+\ntOkOY8wd/vcF4Buh144B+7s8fbtjdxhjZv3vnwN2dLnmlkZ97eL0tTXwM1BfWzPUz9TPQpvUz9YJ\n9bOL08+g//53VDGprAoR+R6gHP5lICI/D7wTGAY+DPw7Y8yi//LvAv8N+P6NtvVCODW/xKH7d7Xd\nJz3+1HljzCs2yKTnYYwxImJ6dX5lY4j6mojcCLwHeDlwhTFGIodsGV/bCn4G6mv9QIyfvQWbSnYD\n4AF/DfyKMabhH6J+tsaon138xPjZm4D/CoxjI23/jBWaRf+QLeNnsDV8bS39TNNcldXyduAv3BMR\nuQWbg30zcA3wTdhfEI57ge8Skas20sgLx7Bkmm0fHSgCV4ee7/K3dUO7Y+dEZBzA/3qiyzWVrcsy\nX8P+wb0beGvC/lvI11btZ6C+pqwNUT8bBn4O2Ib9dP9mINzsQv1M/UxZOVE/+xzwncaYPPZ/xyrw\nP0OvbyE/g37731HF5AUgIntE5EsiUhaRu4BLQq/9tN89aV5E7hWRnf72a0XEiMhgaN+HROSnli8t\nfygiZ0VkRkRubmPDT4rItIicEZH7ReSa0GtGRP69b0dZRH5TRK73uz6dFZG7RCTj73u5iHxcRE76\na31cRHaF1npIRH5bRA6LiCciHxORMf+1DPBq4J9Cpr0F+DNjzGPGmDPYT5J+3L1ojDkPfBG4ZUU3\nvUcYoMFS20cHjgA3iMh1/v16E/aXYje0O/Ze7L3G//qxlVzXVkF9LdnXjDFPGGP+DIhN+9lKvrYG\nfgbqaxeM+llbP/tjY8ynjTE1P0ryV8C3hV5XP1M/6wr1s7Z+9qwx5rmQqUvYNEz3+pbxM+i//x1V\nTK4Q/435KPYTlTHgb/DD7iLyauC3gTdiQ/XPYAtfu2U/8BT2E9DfAD7inC9iw23ArwDfB1wJfBr4\nYGS3W4D/B/hXwH8C3gv8MLAbeCnwZn+/FPA+7CdBu4FzwB9G1vox4Cf9a2oAf+BvvwFoGmOOhfZ9\nCfCV0POvADtE5IrQtmngmxPuwabCYFgy7R9tj7epUO8A7sde993GmMdE5O0i8nYAEblKRI4BvwD8\nmogcE5F80rH+0rcDrxGRrwEH/OcXFeprHX2tG7aEr63Wz0B97UJRP1uxn72S53+Ao36mftYW9bPO\nfiYi3y4iZ4Gyv+Z/iqy3JfwM+vB/R2OMPlbwwP4hOQ5IaNvngP8X+DPgd0Lbs9hUtGv9hwEGQ68/\nhC2cBhu9i657GPjRmH0/Cbw1tF8KmxJwjf/cAN8Wev2LwDtDz98D/F7C9X0LcCZi4+2h5y8GasAA\n9tPZ5yLHPwXcGnqe9u25NrTtt4A/7/V72c3jm1+WNqeKhbYP4Au9tvNifKivtfe10H4vwJY/xL22\nJXxN/ax3D/Wz7vzM3/cnsc0stkW2q5/po+1D/WxFflYAPgX8QWT7lvAzY/rP1zQyuXJ2AkXj/2T7\nPBN6zX2PMaYCnMY6RjfErbszZr9rgN8XkZKIlLCzZiRynrnQ9+dinmcBRGRYRP5URJ4REQ9b9Dwq\ndk6NI9wV6hmsQNwGnAFyEdsqQD70/DL/azm0LQeUYq5rU9LEtH0o64b6Wntf64Yt42vqZz1D/awL\nPxOR12GjR681xpyKvKx+pnRC/azLv2fGppP/OjayGWbL+Bn0l6+pmFw5s0BBRMKdE3f7X49jnRUA\nERkBrsAWvi74m4dDx0ULiePWPR5jwzeAnzHGjIYelxpjPrfyy+EXgRcB+40tfH6lMz+0T7iQdzf2\nE7NTwJPYXP3wL6LHWJ6G8M3AnDHmdGjbJMtTYTctBladFqRcMOpr7X2tG7aEr6mf9RT1sw5+JiK3\nAv8X+B5jzCMx51Q/Uzqhfrayv2eD2KhpmC3hZ9B/vqZicuU8jM39/lkRSYvI92EHhILNPf8JEfkW\nERkC/j/gkDHmqDHmJPYXw4+IyICI/CRwfWTt7aF1fwDrOJ+IseFPgHeLyEsAROQyf/8LIYf9tKnk\n59j/Rsw+PyIiLxaRYWxDnQ8bY5aMHYb6APCdoX0/ALzV3/9y7KdL73cvisgl2FEGn7pAezcUg6He\n4aGsG+prbXxNLJcAriHCJf69cK9vGV9TP+sp6mft/ezV2KY732+MORxdSP1M6RL1s/Z+9sMistv/\n/hpsSutHQq9vGT+D/vM1FZMrxHeC78Pmqc8DP4j/A2+MeQArnv4W+ynU9dguSo6fBn4Zm77wEmy+\nfJhD2MLkU1hHekMkoudsuAf478CH/PSCR4HXXuAl/R5wqX/OzwP3xezzF1hB+By2+9jPhl77U+BH\nQ7bdB/wO8I/YtIavs/yXzPcADxlj4j4123wYWOrwUNYH9bX2vob9JPscrWYg54AnQq9vHV9TP+sZ\n6mcd/ezXseUanxCRiv/4ZOh19TOlI+pnHf3sxcDnRGQB2+X1EMsb8GwdP4O+8zUxF1moVVlbROQh\n4C+NMe9ts89nscNlp7pY7xC2APzRtbNy/XjpyzLmI5/Y1nafF149+0XT4yHPytann31N/UzZKNTP\n1M+U9aef/Qz6z9cGO++iKO0xxnxb572Cffevpy1rjQGa+nmLskm4WH1N/UzZTKifKcr6c7H6GfSf\nr22KNFcRuVVEnhA7KPVdvbZHURwGqJFq+9hKqK8pmxH1M0VZf9TPFGVjuNh8rRM9j0yKbSP8R8Br\nsPObjojIvcaYx3trmQJgjHlVr23oNU0jnXfaAqivbW763dfUz5SNQP1M/UxZf/rdz+Di8bVu6LmY\nxHazetIY8zSAiHwIuA3QXwhKz2ki1BjovOPWQH1N2ZSonynK+qN+pigbw0Xmax3ZDGKywPLBpseA\ntrnRA9kRMzg2tq5GrQUvvfwkj5y5MnF79Kty4VzIvax949gpY0zHnS+iT5dW5Gtr6WcvvfwkQFfv\nTaf3MPr6Svdf7X7dspX8+kJsDfscJL+36mfd/U3bc/1SV/dzLejkQ2v5sxteK27duN/d3Xy/Wls2\n0xrdrNlpn8b8PEuVhY5O1O9+thX+d9wstPuZW4uf2fVYay3O1Yk+/JvWkc0gJrtCRN4GvA1g4PLL\n2fmLP7du53rqB/+E6+96+6rXOQ3sbLM9+nU9Watr2mi6tdvdw8MJ+8etc/TnfumZTusaYIn++YVw\nIX7WzXvkepQn/Zw/9YN/AsD1d7091h/C54i+nvSeh8/dyb/s+r/VtR92e81uvbXyv/A6a+nTF/I7\nKPz7K84Wt039LJ6or53+yV8N7ies79+ETj60ln+TwmvFrRv3d7DT993+7Ef3W4vrWo81ulmz0z7H\n3/N7Hc+rftb6m7Zev0u3Mivxl7X4mV2PtdbiXJ3Qv2nPZzNUgBaBq0PPd/nblmGMucMY8wpjzCsG\nsv8/e+8evklV3fl+Fo1gBC8QDOHSBmRac1rRVgk6MZdxgAgmsXWSE2ESxZgJIYIjiT4Jnsmc4zMn\nTBij0XGCcDA6wURFNBp6clCCqDlPzhkVNAQEQmiQCNjcjRdULt3r/FH1QnVRl32ty1vr0089/ftV\n7dq1q37vd+9ae6+13n2yNmiITmX18ty3LxW57qneZp97qJZtO8+33W3lQ+9fER7SPTu3GdGrtRCd\npfhsHfGRU1snAfquker6UyrvUs+QLz9t+uz6+/i0b2k6g2HHtD5SfpZCxoCbXnWe13mu7Z26geBy\nz33a88F09qjOxupLp8zUnkPOd+LcrJnWepmCMXkFsElEDheRvSi+qHVbyguk+ECm/lDHvnylIMU9\n1dvscw9z6cx3Ip3bjMiutTqxn7FUn4ucg5Jv3XMcIFNP0jRhOmsm1OBw/ZyFTAim+gwf8ZFTH1kN\nST0G9LWx7ZkNqU+Xe06tPdPZ9JnjGJGDKb8XurBGWutldGNSVR8GTgcuBa4HLlLVa1NeY4yVi7Hw\neTGYyz25Up3lbjvWdrwNVeEh3dC59dGXvlwK3l0ev1pEnl/uf6aIXFXZviUiZ5TH3ioit1eOvaz/\nXvJrrU7XaqMPUzFKU9Q9lueDz/GQ68XUmUJnMA2tpdZZqMHRdl7979Q3Idj0d03pKZBLD319T9sz\ny63PLp3EePq4YDqbBn1/177P4NKMTR/NuJwzBOv07ujC6MYkgKpeoqrPUNUjVPUs1/PG/rAM3QYX\nYylmpXBocq329r1Y+bnfwU726Ny6qKQvPwHYDJwkIptrxU4ANpXbKcC5AKp6g6puUdUtwAuA7wKf\nqJz3ztVxVb3E6X4CtdZE6N8v5DO5WsEwunFxC3Y57kufm3IfsTqDaWktpc6a8F097DOiuuqe8hji\ni2ucZQq6xus2co/fprNpEPt3XSdNuhAyedU2HoVOtPr2C+v27tjHJIzJOTOkqNuMpaGCx4dw9Q0l\nl6GRwO/9kfTlqvogsEpfXmUr8AEt+DzwFBE5qFbmGOAmVe0N/B6KoQe0VAlspkKOtuT8m4S017U9\nieJL1lZrLnQZgaHhB3Mi1K23TupEWakNxFAvGzCd+TL0eDGl8WkO+D4vF8+DVG7lS3t3nLUxOZVB\nb+wOYKhVm7Gf91guuztVOjfgABG5srKdUjm9KX35IbVLuJQ5Efhwbd8bSteG94vIfsE3mJlcn81Q\n42bouKhUyaXGxtVtMmRFBqJ1BgvS2hRi7qvEGDipyJWUp/55drk/n9XfmOdVzUbqiunMnTlOmC6J\nts//2O/kK5b07jhrY3IqTKEDGCpba65zXAi9x6hYLrfZpXtW2eLK7fzgCzYgRXKBlwMfrew+F3g6\nsAXYAbwj5TWrTClescldL3R2cqgBp+v+c8YuDnF/TV4RXe7mbUxBZzC+1nKR+7PQtQo6ZEKfFLSt\n8IZ8rttwWTX2mYRK7AFgOjNmRdMYFJqAKxVT0NqQOjNjcmSmNIg24TvQdZ2TCl+f9pj2JIgxcUlf\n3lfmBODLqnrnI+1SvVNVd6rqLuC9FC4RWRh7ssQlaYZPHavfU8RPTU2/VTeeIVxeUxnKKWK5mLnW\nUrlpNpUdU8MhCYSGnMSsT8Csmzt9FdNZWqb6dzbC8gZU98X+bZf27jh7Y3JsMYcM7FV8V0imcL8u\nA27OdqZOld6F0u2mULoqdOGSvnwb8JoyM9eLgG+q6o7K8ZOouSnU/OJfCXwl5P7mQI5szD4ucV1u\nsbEvwUOuWqbEZVXYd2UyUmcwc63lcNNM+XI0BDHGb2g/kWMCJmWf1ZfJ0m/SxnSWkrEnWqfGHPoY\nV0I9n1Ys7d1x9sZkauqxDE2xDT6Z8VzIkRwhp6upz0xzTDum0DGpEhVE3Za+XEROFZHVg7wEuBnY\nTjFT9PrV+SKyD3Ac8PFa1W8TkWtE5GrgJcBvJbjdydLmvjlUrHCueKzcdQ3p3hhDrM6KOtZbaynd\nzVO4Qne5iYXWO5W4z6lco2/i1qdvAtPZmMz9XciFIRPATSFMpYulvTuKqqaoZ1D2ftpGPfhNZ4zd\nDGeaBoShMrDOkaGezS1nvPlLqnpUV5nDnv1E/b2Pb+ms59ef+be99cyRuenM6CdGW6Hnms76qWst\n9Fmn7DtT98OuHi1tKf1Tfm593NxTZF8d4jl+/R3v4oGv3dq53GE6szFtnRlKazamPRZbmQwghStb\ninituTOHLJcKPKh7dm5Lo8u1KtXsa8gMfmhbppCJcihitNX2kl+umehKAAAgAElEQVT9PxTT2e70\neXbkcruunhNbV1sim5DzU39uXbNANpXz7WtsPJsW697HT40hn3dqrcXm21iS1hZvTPrEHAwd2zgH\nN7cYhsyoGYoi7NLubWl0uValeunzjclteukbyjXV1f1m6p/1kPalijUznTXTFvPoamyGhBuk0Hbo\nCoFPH5AC1+dTb5eLoZxa7ymSKZnOhvlb+RIzKTd22/uI+bxO/d66WJrWFm9MhsRDhWSnG4uptKON\nUFeunOWrKPExJoY/fZM8Li+8Ln/32NWTpmsOmSAqJWNOXpnO+mlbYWtL7NZ3bp2Uk6WpEkv1JZ9x\nLdOH76TImAnoYjCdNTN23xwzKTd221OSYjyeCkvT2uKNySWQa2AbawXG90UlrkMSdvZsRnqaJnl8\nA/DHmPSZw+DnmwHSh/D7N531/U18wwJShGOkKFulOtni4l7el3ymrUyIq27I8+9qd2qDM40nj+ks\nJ1OdRJgL67WKuSytrZ0xOb0P1PjkesENWYGZS3bJFcXs0obOzUiL64tliozBqcnRltR1+maAjIlH\ndcV01t93pXbPa5pUCFnN9zm/yY01R8K13G74ueqD3f8uqVdqTGd5mcNk4roytWe/NK3N2phMvwqV\njlSJSFLUl4JU15/b30dV2KV7dG5GM6GfGd/PyFQ+U7kY+/5Sv0Q3YTrrxmWCxdfwaJpUiF3NH8JN\nL/eqep/7bOgKsk87UsUi1zGdhREy6eJa19xIlXRt3Vma1mZ9N2O/ZHUxpRnQJnw7hKk+61CXPZ/7\n2al7dG5GM1N5SRySqepkKGL+hqazdlwS7gwRf54bl/bk1ljICvGKOSTfMp35EzLp4lqXC1P6/OSa\n6BiD3M91SVpbr7upkSMzVsq4ijFxiTdJiUt8TAi+Lnu+KLIoV4UxWYfBaemE/g1NZ+24ZHENfe65\nXMVzeCXkHEdjvZyqMZo5JoNT3bvpbJ7Y2JgHe3dMx1oYk64xVq4dckgWyS5ikhWEHJsCXS87oX+X\navlcxmkdhUWldzaMMTCdtdNk8PkagSmSVfnU75tV2YWcL36xXhR9k7Kxsahtz9P32ZrODGMYlqa1\nWRuTbRnb2ujqkPtmFruu33aN0Dpc6so1sPq66XQZ8rlcaOt/I5fZ7NAXmqXNLhnGGJjO+olZ8Rpz\nZSNVttk2Uk66xo5ZbQZ/yszSq7E1xLXZdGYYw7A0rc3amEzpt+464DUNFjH4pEl3JWa22tdNp2uG\nfOgXmK42xLRlF3t0boZhxGM6G48USWN8r5FqfOgau33DOELeA7rO7zL4Yp55THiH6cwwhmFJWluv\nu6ng01H7rAD2uWimiBXpGyRcXZZSujb51jVEbGnby0nKbHuq8NCuPTo3wzDiMJ25MeXwhr4+fejJ\nRd/4Up8xKcWKsGv22JSYzgxjGJamtfW6G/xdX13q6vq57jqbI6FN32Do4mq6covJkRghpLzPDK5L\nHT4vLT7XUZaV3tkwxsB01k3Kca1eZ1O9MRmyu8ZHl7pjJhrbvFNcxr4uj5wUz6fvukMY26YzwxiG\npWlt1nfj41pZN6pc6u5z7QzZ7zML6foC4bqymjvzaQipXpJSrrJWKb54do/OrQ8ROV5EbhCR7SJy\nZsNxEZF3l8evFpHnV47dIiLXiMhVInJlZf/+InKZiNxY/r+f800ZxsRIoTOYt9ZSJ37rq99n1az6\nc6jHi6vRlDI2NCQXQtP5TfWlINQoDV3NNJ0ZxjAs7d1xlsbkkfvd7X2OjxtpU5nU8R0urqwpDT/f\n7H+piXUXSonfNeNml0RkA3AOcAKwGThJRDbXip0AbCq3U4Bza8dfoqpbVPWoyr4zgctVdRNwefm7\nYcyU+FncuWstJO7Qx9skNhN5fexKEarQhU9dPuNLqhCY0DalqD98NdN0ZhjDsKx3x+TGpIhsFJHP\nish1InKtiLyx3N9qDYvIW0rL+gYReWnfNa75xlOB/iyeuZLCpEiWM0QmuybGWpnMMbM+VB27kM6t\nh6OB7ap6s6o+CFwIbK2V2Qp8QAs+DzxFRA7qqfcXgJ8XkeuAXwVeC2l1ZhhDEqkzyKA1EdkInA68\nTkSuBR4HvCK1zlwnSJsmOcfqW/tWEKtjcMiY6XNfbUZj6neA2Db10TU5kOqdYYo6K7ExzVgrJvru\nuBW4oPz5AuAVfnfVTI6VyYeBN6nqZuBFwGmlNd1oDZfHTgSeBRwPvKe0yJ3ompGMTWTThssqZ2zy\nmxQB/k2MNXOcgpTZc10pgqg3dG7AASJyZWU7pVLFIcCtld9vK/fhWEaBT4vIl2r1HgC8odTZUWUb\nsunMMHKSQGeQR2sPAztV9RkU49mrgYNIrLPVBKkrMfHvTcSs4LmMwb6eQTHXbbp+13khzzHnOOob\nRuPDhHUGNqYZa8SE3x0PVNUd5c93AAdG3iqQwZhU1R2q+uXy528D11PcXJs1vBW4UFUfUNWvAtsp\nLHInYmcZXWcBx1gBjB3Mm46nSlPu6oabYzUxVQZdF4og6t4vnr1HVY+qbOcnbMJPqOoWCneG00Tk\np1ZNq+lsJxl1Zhg5mYDOoEFr5aC7E3Ybz4RMOvNZtWtLQJbqWjETmkN43nSN3111DZWh3ZfqmBoS\nq+rCVHW2ap6Naca6MAGttens0TaqKoXRGU3WmEkROQx4HvAF2q1hF+sbETllZb3v/M79QJoBtC8j\nqEvAfa7BJsXqpGuGWd8XAlejtJ5R1pUuA9gnnjX2b6PAw7pH59bD7cDGyu+Hlvucyqjq6v+7gE/w\n6GB558qdQUR+jOIFN4vODCM3CXQGmbVWjmcvoNRVjM6gWWtdhk1XRu6Qib2uPj/nZGpozGJsX95V\nV3286ct0m9IjqG31tv63TrIyyfR1BjamGfNnJu+OBwF3+d/dY8lmTIrIvsBfAGeo6reqx0KsYVU9\nf2W9b9h3HyA+ocCKusHo24GnWu3rw3UF0qX9uRMANbUhRQyMLykG4MiEBVcAm0TkcBHZi8ItZ1ut\nzDbgNVLwIuCbqrpDRPYRkScCiMg+wM8AX6mcc3Kps08Af5VLZ4YxBAnSqOfU2q9TjGefpdDbI4TO\n7rporSkbd2zSFhg31j5F+9v2+azsukxYpoq5DD0nVUxslYnrzMY0Y22Y8rtj+fPJwMXxd5rJmBSR\nx1EMvB9U1Y+Xu9usYRfr25uYjG2ug66Pm5BLjItrfX2Z61LMmobGm3a1ITaxwBgZaVUlanZJVR+m\nSOBxKYWL3EWqeq2InCoiq4d0CXAzhZvOe4HXl/sPBP5WRP4e+CLwf6vqp8pjZ1N0EHcC3wV+rdw/\nqM4MIwWxOivqyKa1twNvBJ5GES95NgPpzNWrwzeGsm+Ssa//jhkXc/bfPq6vMRPFEHcfQ+cbWDFx\nndmYZqwNE393PE5EbgSOLX+PJkc2VwHeB1yvqn9UOdRmDW8DThSRvUXkcIoUt1/su47PIBtD1+Dk\nu9LmmnQnJJYl5j5Tz7SmivXMdW3f6zr4vXeiqpeo6jNU9QhVPavcd56qnlf+rKp6Wnn8SFW9stx/\ns6o+t9yetTq35D4Kt573lnXfV+5PqjPDGIpYnUF6rZXj2R8Cf6aqT1XVY0utDaIzV+PONdlMDH1J\ndLo8fNrqyUFo/UOu1uZ+Bl1MUWclNqYZa8UU3x1V9V5VPUZVN1XGs2hyrEy+mCLj3b+W4ssyrxKR\nl9FiDavqtcBFwHXAp4DTVHVn30X6VuFCV+nqjDEbG2PcjTXjWcXVtTbV38jl2r5lVijw8K49OreR\nGERnhjEEprN2YoyynEZLV3x807VTZ6D1qdslBjRVQrmmMinvPaaeCesMJqA1w0jFxLWWnBzZXP9W\nVUVVn6PFl2VuKa3rVmtYVc8qLetnquon+67R9Z1cbYNG9f+2zr6JtvTmTeW6yDGot8VIuhrAOdqy\nbjhm5Bq+XQPozDCGwnS2O6kTr8S2oYm+GMYmYzPXqmFf3X2Gbtt1+pIWuRql9fb5vIO01R8y5k5V\nZ2BjmrFeTFlrOZilaVz9Tq6ujGdtSWCaXFdTrWAOmXSnzcjtc0fK0Z5cSYhcZ5tzuLeuSPAlz4Zh\n9GA6e5SmMSpVjJ6rIRObSTW1x0nKbK6uZfrGtRT3GFpXqFFpOjOMYViS1mZpTFbpmpHsO5a6HSH1\nhsz+xtTnS91IHnqWfOwsgqrLclUwjDEwnT0WV8OmistkX9vKWVeCtJyeNa6kDFkJaUvIyqYLIfcV\nOs6bzgxjGJamtfW6m5FINUj5DBBtM82xs8l1YuMacxqfOVdgqyzJVcEwxsJ0tjsh3hY5ksLExuPH\neLOkTObWdR+p4k9dn3/KVV/fv7npzDCGYUlam7UxOYU4veqsbdsg5eKqmmP2N0V8SopnnCu76xB/\nf0XYuWuPzs0wjDhMZ49ljAQ7LmOVL76reHVDycdQdLlG330MPeb5rDjHhtOYzgxjGJamtVnfTU63\nl5A2tKVLd0nO03ZuqNtSE64Z5VKv+PWlrI+NGemqM8XfeEl+74YxFqaz/KQOq3CpM/ZaPuNb07lD\nu9O61NE05vnkR4hpo+nMMIZhSVqbtTEZSs74v1C3o7aBMHXMoE99ObPCdhmsoSuUTXXGPj9VFjW7\nZBhjYDpzI/YrJnL0/111pvw6DFdDOMb1NzSpW4zBOmQ+AtOZYQzD0rQ2+7sZO8tcqrrHSv/exWpW\n12V1tSt5Q9fx1bGYVPiuK59hLCu9s2GMg+msjs8EYw6X/xQeKqnGNZ+J0JjMry6eRk3lu1YY28ai\ncZLamc4MYxiWpbXZG5PV2chcsXk56EvPPuRXjHThOoj3ufh21VG/RoqU+KlcdZVlzS4ZxhiYzh6L\nT7+VyyAZeqx0/dqSrv0QnzSo7RousZldWXhzJo3r+v7tFaYzwxiGpWltbe5mZZC4DEZDBOD30Zae\nfXX9mIGmbfYzNFtsKKlm0EddtdXCXaFrMwwjEtMZkP77ckMMsdXxrnFoqGRpXW1wneR0naT1SdaT\nMotuX7uqx7vKVb9/uxXTmWEMw8K0Nmtj0rXz7xoQQtOEh+I6aMTU1ZYNbwoz3SEzu6GkmhRYUhC1\nYYzF0nVWN5zaDIjQGHOfPrZrctbl/Hrbm+pKOfZ2GYyuk7S+42OqyVnXJH3V/2NYus4MYyiWpLVZ\nG5M+K19DJLhxoS97W4429Q3kvrO1OUh9z7GruyuWlt7ZMMbAdPbYftrVgOgaB0Ozfvue03TdPiPY\nxSALyfiaIhFP0/n1Yz7vH6mM2FhMZ4YxDEvT2nrdDe3GWkxW1VzEDiIxK41tq5eu1/AxQFO4RKXI\nlhdKrKuCiBwvIjeIyHYRObPhuIjIu8vjV4vI88v9G0XksyJynYhcKyJvrJzzVhG5XUSuKreXRd2k\nYYxMCpeguWstZcKaoc5tG2erE6Nd40sOl9kmYy9mDKnX4ep6GzP2+I6jLjGTYDozjKFY0rvj2hmT\nEJclLeVgMDQxbU2RQbXpmOsKYZ/h32ccuiRj6CvXhCrs2rVH59aFiGwAzgFOADYDJ4nI5lqxE4BN\n5XYKcG65/2HgTaq6GXgRcFrt3Heq6pZyu8TrxgxjQsTqDOatNVdDICWpPFJCYher1/BNlhOaEC6F\noZ4qhjTkWn3td4mZXLrODGMolvbuuJbGZIpBI1fa7pzGqa8hPFaioaY2+LxQuL4opIrJiUzvfDSw\nXVVvVtUHgQuBrbUyW4EPaMHngaeIyEGqukNVvwygqt8GrgcO8b4Bw5gBCdKoz1ZrTslTEuDqrROy\nOunrslrv88dMtBY7FrqsVKbK1t5Wj+uExJJ1ZhhDsqR3x7UxJlNluMs5sIXE8YUMOl33kCPRTQwh\ncTTgtjrpO+Pdxq5d0rn1cAhwa+X323isqHvLiMhhwPOAL1R2v6F0bXi/iOznfkeGMT0idQZrqLVU\nq4dNY0LKycSmvjbUHbWpTIwhljPxjw8h8as+9bhOSJjODGMYlvTuuDbGpI8rZVeAfopscm101d02\nWKZw1XU9lopcs7xdZaovJSnTtiuCavcGHCAiV1a2U4Iv2ICI7Av8BXCGqn6r3H0u8HRgC7ADeEfK\naxrGkExBZzC+1nz6rtjs3KlDOurjZ6oEO33unqEroinwMXKnEDJjOjOMYZiC1obU2eyNSZ9VrKZY\nvpiVv9hyXYkLciQlCKkvpN5cBqtrXGTS2Xd1clW4R1WPqmznV2q4HdhY+f3Qch8uZUTkcRSdwQdV\n9eOPNEv1TlXdqaq7gPdSuEQYxjyJ1xmsgdZ8YvJS9/l9Wb9D60xBrFEd6+3ikqCubTKzzVMotE1R\nmM4MYxgW9u44e2PSZbWva1bWpYN3mS32MQB9XGldZz5TrajW25ZrFjeEkIy8SWbftWfr5gpgk4gc\nLiJ7AScC22pltgGvKTNzvQj4pqruEBEB3gdcr6p/VD1BRA6q/PpK4Cv+N2YYEyJOZ7DGWvONEw/t\na/sMojZyrrqlqDs2aY+rV1FTWdfMr31lmv4mI4xnsMY6M4ykLOjdcfbG5Iq+OIiY+A3X2eK6QZli\nEKnW6TOguZLTBajvWqG4ujW1fSZ8B2EHV4WOc/Vh4HTgUoog6ItU9VoROVVEVg/kEuBmYDvFTNHr\ny/0vBl4N/OuGNM5vE5FrRORq4CXAbznfkGFMkBidFeevj9a64vq7zkk1CVivp6++HGOTS91TwDX5\nW47rhjwb05lhDMOS3h1FXb9YaELs/bSNevCbzgg+vyvoPyRJTo46clF17x3qPkMTD+V+hrec8eYv\nqepRXWX2PuIQPfQ/v76rCDef+Hu99cyRWJ0ZBpjOXDjquY/Xe193llPZqY4vU21XH3Ntd52vv+Nd\nPPC1WzvfUJeuMxvTjBTYmPZY1mZlsok2l9XUKdFj60iJ68y177lNuN5nyiRCVTeuVKnWO1FApXsz\nDCOOheusmokzRdKaIenLFBvbN6fs24cYr0Oy7LqeG+vGvHSdGcZgLExrWYxJEdkgIn8nIn9V/r6/\niFwmIjeW/+9XKfsWEdkuIjeIyEtTtiMkttHXvWgqhqOLK2xfkpohvrYk5jzY3e2qL/lB19/Sy811\nV/c2JlPRmmHEYjoryOkyGkuT8dM3lsSMKykmQF1CT7rGDd940bY4fRdDti/GP4Ubs+nMMIZhylpL\nTa6VyTdS+PiuOBO4XFU3AZeXvyMimymCSp8FHA+8R0Q2ZGrTI3TFOLQdS/mVIaleCGIG7LZ6qvQF\n/Ide0yeWNcVqadOA7N52p/TOYzJprRmGG6azOk2TXrknL31XRX3a4zqJ55PZPDSxTr1dXWOpi4Hn\n0sZQD520HjimM8MYhslrLSnJjUkRORT4WeBPKru3AheUP18AvKKy/0JVfUBVv0oRRJosHbRPJ5zS\n9bV6PZ+EPi711X9OSX0G1bftIe3qM/5SGMlRL2AKuks6t7GYktYMIwrT2W6sDJyuZGL18iGkMFb7\n+uvqeJIj5MH3WB8h7wohmcbbjnUZ3dGTCaYzwxiGCWstBzlWJt8F/A5QXcQ9UFV3lD/fARxY/nwI\ncGul3G3lvscgIqdI+cWeO79zv1ND+tw6cxLT6fe5w6S+lzbjcehZ8dU1U14nyd86PpV6LpJrLURn\nhpGEBekMurXmmhm8qbxPn+dqrDbRFx4RGj7he92YOMhqQjrfc0PoW8VclenzOmqq48j97nZrhOnM\nMIZhulpLTlJjUkR+DrhLVb/UVkaL9LHej1FVz199seeGffd5zHEfd9IUs4g+ZXzwyZAK8W5GTdcL\nXdEbMgtu3yyu64uOExMMos6ltT6dGUY2FqSz8rxWrYVMqsW6U6Y+J4VRFhJn6EMS7xUPfOInu2gq\nW03i1InpzDCGYYJay0XqlckXAy8XkVuACym+4+TPgTtXX5RZ/n9XWf52YGPl/EPLfd7kSB4TE4/R\nFcQfGwPiU65+TsqBODU+s+RtiXjqx5Mwzdml0bRmGFkwnUVTH2d8k4211TUWKSYoY8ukzEa7Gq9c\n4jhDr9GL6cwwhmGaWstCUmNSVd+iqoeq6mEUwdGfUdVfAbYBJ5fFTgYuLn/eBpwoInuLyOHAJuCL\nqdrT5VKS24jqMtpyzdj6ZqL1HWhjXky66nbNhudaX9u+IFemiaZ3nprWDCMK09luhCYpaxp3QuMg\nu9wru1bYchihoXWmSNATO1EdMp75Gps2ntl4ZkyMiWotF0N9z+TZwHEiciNwbPk7qnotcBFwHfAp\n4DRV3elSoevg4usGmuq6vtfznR31WY1bGdW+A1BflrvYZ9HnYrRqs6vbb9PkQQojfmbpnZNrzTCG\nwHTm5v7omk00tL/r6nOrfXa9XOrJxqbrrq7TxBRWUkMMRZfEO11/c9/7Np0ZxjDMTGtRZDMmVfVz\nqvpz5c/3quoxqrpJVY9V1fsq5c5S1SNU9Zmq+slc7enCJf4wRTIBF0OnbaY3NvavaYY6NmtdrtXd\ntux/LrGRWRItTXx2aU5aM4xWTGdOtPXLqfo714QvbaugKXMSuLava3+Ka8aMsy7ntJ3b9d4RHO9p\nOjOMYZi41lIy1MpkckLdgPrqiinTdy0XYy4m/s93oHR9aUh1PVd8Xha6nk0SY1dBdnVvhmFEYjoD\n0iSTWRESHhATFpJi/PEl5Joh49aQuQWyZpY1nRnGMCxMa7M1JqvUV/WC4wkCCe38Q1YbXd04Q12O\nfAzM1EkEXHCdOEh37Z6ZpTWbXTKMcVi2zpy/1sEBH0+bermY+MBQ7xmfcI86qbLQ5krCEzI5m/d9\nZdk6M4zhWJbW1sKYrJNjFjVVSm8XqsZxl/EYuuKac8CuPqeu+wgdvJvcgZteaFK6fbGrZzMMI54F\n66z+tQ4xfZdL35dqzPLx6mkbA/qM2ZhnkercIVY0U+d3aGXBOjOMQVmQ1tbCmPSdie0r20RwfEIE\nffEXOY7F0vScmu6jzyiOGYSTz/AuKL2zYYzGgnWWcmUS4jOQ+h53OadrDOiqw3dyuGlCsw+XEIpU\n40mKSc6otixYZ4YxKAvS2loYk74xj6HZ4HLFCMbWG7rKOiQ+saQu57fNFKdIVrQbCrJLOrc+ROR4\nEblBRLaLyJkNx0VE3l0ev1pEnt93rojsLyKXiciN5f/7+d+cYUyEBDqD+WqtvjKZ2nBp86zJ6VqZ\nos4QY9Cl/8+RedbV+2bU1deF68wwBmNh746zNCZjZ3HbDMu+BAa5VvRi653SjGlbPbFZcGMSE0W3\nIWJ2SUQ2AOcAJwCbgZNEZHOt2AkU35O1CTgFONfh3DOBy1V1E3B5+bthzJfIWdx11lroBGjdUyTV\naluKsSL3JGjTvbZlCo+hWmfK/Ak+GWS9MJ0ZxjAs6N1xlsZkfRY3hhB3oByzmk3XyXWeqzEdSq4Y\n0j583JoG5Ghgu6rerKoPAhcCW2tltgIf0ILPA08RkYN6zt0KXFD+fAHwitw3YhgTZ6205tI3p+zv\nfLxH2uIgc7ehzRvFlVwrsG0rvDHZ0WPqysxa6cwwJsqsdDZLY3Io2lbDUs5q+uDiRlMd2HwNy75r\nhg6M6TOsNl8n1+Dr4KpwgIhcWdlOqZx+CHBr5ffbyn04lOk690BV3VH+fAdwYNRNGsbIROoM1kxr\nub4SyuV6IatiXWOFq7eKbyx9PdFbCCljGGO8mfrKuj7rPkxnhjEMS3p3NGOywpiDUR2fhAD1gcU3\nWZDrjHSoAZ0zeVFfoqGYQRfod1MoXBXuUdWjKtv5/hcKR1XXMJzbWBQz0BmMp7WuyTmXSTQXN1lX\nL5WQWECXbKghhljI+BRynRiX05jVyRQTwrthOjOMYZiB1lLqbJbG5CpmMrW7qctA4BMPOFRinViD\nL+SckNTzQycaqrcj1JiN/OLZ24GNld8PLfe5lOk6987SnYHy/7t87skwpkaCL3heW6019WM+rq8u\nZWMyn0L7VzS51p8jfjNV/H7MRKjv6mQ9G23TO0hMe0xnhjEMS3p3nKUxuYqZHMLdtCuI3/fcNnxm\nen3JFd/p61rkMgD2vRSMlmgoLmHBFcAmETlcRPYCTgS21cpsA15TZuZ6EfDN0g2h69xtwMnlzycD\nF/vdlGFMjPg06ovVmk8/HFtP33g1VGxf08qsa9Zvl3qb6us7x2e87XuOTQZ5kmdrOjOMYVjQu+Ms\njcmxCUnaU/2/q77YBANNdec0uGNns13LtK10hrwo+DwP0bjZJVV9GDgduBS4HrhIVa8VkVNFZNWQ\nS4Cbge3Ae4HXd51bnnM2cJyI3AgcW/5uGLMkVmewvlpL6erY5zES2083HY8ONaB5DHVdgY3J+u3q\nYVM1/FyNvxBDt208d63HdGYYw7C0d8dZGpNdXw2SYuY1pGzX+V1uSS7xGyEreqlnoGOfW2ojeWUU\n+g7IQYa1SvfWd7rqJar6DFU9QlXPKvedp6rnlT+rqp5WHj9SVa/sOrfcf6+qHqOqm1T1WFW9z//G\nDGNCROoM1kdrfYnFYlbb+upPzRTi7nOHw/SVbRv/Yp598N/QdGYYw7Cgd8dZGpNdXw3S52qTMrta\nivNzDeQp4lNSvAR0nR+SfbXJtcmnbSEvFQliTAzD6MF09ih9yWx8vVnakreNgU+SmdSZalO4A/d5\nGvm2KeZ8G88MY7osSWuzNCbBLwFMrhiOoWJD+q6VI4FODD5GYtvsaq440rCVyZ7NMIx4TGdA88pj\n1yqWqzdLSJ/vYvilMqqaPGFcx5LUeQxSTwSnWoFMUq/pzDCGYUFam60xuSImwYyrK2jbgBpr2PgM\njLHJfELr863X91o+L0ijoKXve8dmGEYkprNHaIqL6+oPffp83/AGl3b4Ttx29fl9Y+sY44VLKErb\neSkmbZPem+nMMIZhYVqbrTHZFvDeVbZvf73zr17DJz4h1qALMRzrg3BMVj7XNrleY+jsfm2/B7Or\nZzMMIx7TmTOu41GIIRRidK5+H8VzpKEtXcdDkt6EkDv5XTCmM8MYhgVpbbbGZAgurrEhBl6KdORt\ndXYZY/W4wZRZ+VJkEKwmyXElJlYlV1zQkmaXDGMsTGfutOqdBSYAACAASURBVI0xvsajT/zfkHGY\nvu60fWNZV4z9EJOdQ4bE9GE6M4xhWJLW1tKYzBVv10aKdORt5/sYY9VVSRdj1LUuV+rXdamj6wWl\n7VjTi5TrS1HQoL4gv3fDGA3TmRcpx7N6vxuaVTxV/5tyTE2RjC6W1GEqUeeYzgxjGBaktbUyJlPF\nMvpez3V/aDnf8+oGaIxbrsuzbMoy2HR931hQF8Oy/nvyF4eF+b0bxiiYzpLg27+lSt7T5IUSEvs/\npRW8Fb6rtqEGdaibsNc5pjPDGIaFaW32xmRo7MgQ7XDNODv2ANr3AhCbOTeFkT9q7MmC/N4NYzRM\nZ43ErPalip0PmaTLbhglIkVcv0vyoGrZvv1Z3wlMZ4YxDAvSWhZjUkSeIiIfE5F/EJHrReRfisj+\nInKZiNxY/r9fpfxbRGS7iNwgIi/1uVZXWvHqz6ni9nzOC4mdTDGwu5TtcwXuM45dkt20PfvV4D22\nEe2CMN3ZpSF1Zhg5MZ21E2KcNPW9Q4d/dF2z75x62IJvuIVPO1J5s+ScHE5V55R1BuNrzTBSMXWt\npSbXyuR/BT6lqj8KPBe4HjgTuFxVNwGXl78jIpuBE4FnAccD7xGRDb4XbHPr9B0o+1xN2lZCm2Ib\nu+IG6/V0GV5dbehrYxuxM80ubqZdM7Btz2tyKFP+4tnBdWYYWVi4zo7c7+7gxrm6k/pOLHaVc10N\nDZlQjRm/fc7J5dWUwjh3TW4UEi85YZ2BjWnGujB9rSUluTEpIk8Gfgp4H4CqPqiq/wxsBS4oi10A\nvKL8eStwoao+oKpfBbYDR6dulyspY+664gZdBwufmMWmc3xWAGPdpWLxfQnoi1ltM8TXIWHB3HVm\nGI9hwTq75htPDWpf1+SnT7Ib3wlI11j3vrIrcmeKjXHDjbl2znEzNMZyijoDG9OMNWSiWstBjpXJ\nw4G7gf8uIn8nIn8iIvsAB6rqjrLMHcCB5c+HALdWzr+t3LcbInKKiFwpIlfu/M79j+wfcjUrxbV8\nZ2pDkhjkKDt2UqMqrgZ/2wtESBKeCXYIg+rMMLKzIJ1BGq1Noc/uI3XoRteE4FjeLTGhMaGhMMF/\n32nqDGxMM9aN6WotOTmMyT2B5wPnqurzgPsp3RJWqKr3o1TV81X1KFU9asvG7z6yPyRoPbTjD3HZ\naasnZdkppD5fkSKRQYqyfYO0Tzsn6qqQXWcb9t0nWWMNo48l6aw8b3Ct+cRNpjLMYsMZmlYtQ1Y7\nQ64X81UmXfurx0PzGoQyUZ2BjWnGmjFhrSUnhzF5G3Cbqn6h/P1jFB3EnSJyEED5/13l8duBjZXz\nDy33tbJyCWpzjfHJPtpVvivOMVWWvFU53+Q21f2pZ2ND4jRXhA50sXGgLi8c1efs3M6+maXI2aWu\n5AK1cseXSQa2i8iZlDoDflFE/gH4WeDXgbtF5CAROUxEvgf8gIhcBfwYnjozjMFYuM5iYia76HMf\n7RpbcvXlKb6+xMXQCs2O2hWeEotvO5KvtE5XZ1Do7H7gAhG5GngehdvqnSLyYyLyPRH5CoXWziPg\n3dEwBmPaWkNE/rBMdHW1iHxCRJ5S7j+s1NpV5ebUCSU3JlX1DuBWEXlmuesY4DpgG3Byue9k4OLy\n523AiSKyt4gcDmwCvuhyrbbONsVg1bTfd5BxHQT7Zlr72ueyQudqoLbVFxqH2UfVuEvhutR3XyEv\nB5lnlxqTC+x2/SKpwDnACcBm4CRgfwoXn+uBZwN/DvwTcB+P6uybwLtVdQvwOgJ1ZhhDsGSdhcRM\n+riP+q5yda2WuRiLrmNE6MSlS2K76u9TcfnN0Q7fsXiKOhORzeW749eAf6Oqz6F4P30KxTviLwI3\nUejv3ap6KhHvjoYxBFPVWnn4MuDZpdb+EXhL5dSbVHVLuTl1Wrmyub4B+GA5u7QF+M/A2cBxInIj\ncGz5O6p6LXARhcH5KeA0Vd3peqGc6bi7rtf2+4q2QTKF26rLdap1NRmrMYNaUNxhQ9vq7WibSe67\nXkj2QJ/2Z07v3JZcoMrRwHZVvVlVHwQuLM97A/B64MsUOvtvFIPxccBngX1JpDPDyI3prJu+xGJd\npHJj7XPLrBpvoWNdTKhD7DgX41pa/fv4GtIx1/W9xwnrDODVwAfKd8fHUejsbOAnKIzFZO+OhpGb\nKWtNVf9aVR8uy32eYmU/mCzGpKpeVfqoP0dVX6Gq31DVe1X1GFXdpKrHqup9lfJnqeoRqvpMVf1k\nyDWTpc72OD9mdc/12imM5CklK/AxCn3qrBqRSWd/FZcvnj1gFeBfbqd4XKEtuUCVxkQDdZ0BrwIu\nVtVjgJcAAnxGRP5GRH4yhc4MIwumM6B/TKkaLK7ZVXPF3jXVn7LvjRmfYvIixOLqAVMtM9jK6YR1\nBru/O1KEQl2sqvcCvww8DBwAfEJEfrIsb2OaMU0mrrUarwOq+jm8dHH9m5XW+si1MjkZcqQUT1W3\ny7Xrg1JfDExXu5rOzTFgxw7kYydIqiIOG3DPKsC/3M7frQ6RT4vIVxq2rdVyoYk8ymv8B4rB9oPl\nrh3A00rXu98GPiQiTwqp2zByYzrrZ2V0xHiG1OsL6S/bxqAUXkJNce0uIRou42JumuJRXWJUh2yr\n6cwwhmFpWputMTlGQPyYbXCNj/Q9N9bd1WW/73NK1aaYREJVYv3ey5X4ZzdsF9OemKpKZ6IBEXkt\n8HPAL5edClp899a95c9foog3eYb3zRvGQJjO4iYvXVcgfV1RfduROoTCxXXVZcxxdT1NldhuKCNx\n6JjJddCZYQzBkrQ2W2MyBauZw9DZ2VijaYWPgejqWjuWe28TsTGgbeVC4oSCBvi83xXUlpiqyhXA\nJhE5XET2Ak4sz0NEjgd+B3i5qj7ynTki8tQy+BoReTpFvMnN0a01jFwsWGcpsrmOEeoxFD7jIMT1\n/S4Tty4MtQrpXeeCdWYYg7Igrc3WmEzhUhM6aLTFOORws2y6RrUduWkbEHNdu+v+6jPGTWWztCtv\nh9CYmEpEDhaRSwDKIOnTgUspskpepEXyAYA/Bp4IXFZL4/xTwNVSfF3Bx4BTq3HKhjE5FqyzkGyu\nroQkpfFNauaSTKbvvK7jKRPIdV3f99l07atntU3hUux7vJEF68wwBmVBWpNyZXNWHPXcx+sXL93Y\nmqHOJ7B90OD3TNf1rate3veZ5WpXSP3gFqvSxC1nvPlLqnpUV5kn/NBGfcYv/XZnPX9/zm/31jNH\n9n7aRj34TWeM3Qxj5pjO+qlqLaTfjO1rfc53LdtWLvW4EHudlOWGfp+oXu/r73gXD3ztVukqbzqz\nMc2Ix8a0xzLLlcm2WVyfDHdNZbKubjVcNyZbq+/McfWctlnePtfdFO6tKWet22J+2lY3Q5915vTO\nhmFgOlvhY9RVz/EZv2IS1rjGbrZ5D6V2x3WN3fc9P0VbUsXtu17PBdOZYQzDkrQ2S2MSwmMiXGIO\nc88shiRAqBue9YHaxaAMifFMvWKZ6qXFdUD2nVxoIvMXzxqGgeksZLKuaUxwMdZyxVc21e1qYA2x\nopciLMan3hRx+6kN0qXrzDCGYklam60xGTOLmXJ1zLWOtoHcxyjqG5h8BymfOJRYQ92nvI+Rm50+\nn/c1m10yjFEwnQX1sT5Goa+nTi6SJUbrwMe4q5YPjVF0Xa0NIenzMp0ZxjAsTGuzNSZDO1PXuIfY\n61RZGYJTyIrni4/BF2vMhtbTReysrrCs2SXDGAPTmRuu40iK1S+XYy71Dj15C/5eOD4usT5jSp/L\n79CYzgxjGJamtdkak6GMNTvblQG2Xi4nKeIem/Z3xSbGrEDGkmRWd0GzS4YxGqazTnIZfNAe3x7r\nftrmUTP0OJczLnK1r244dyW6a2tnzN/Y+etlTGeGMQwL0tpsjckQ48W1vhz0DahtyXGGaEcMTe12\ndZ+NWV3OUbYRBdmlnZthGJGYznppiomMHTe6xlGfmP7V+a7GUA6vlKqrqu8KYvW8tnJ9++rPy2Uc\njA01qV7f6etlTGeGMQwL09psjckQ48W1vqHouoecs9ApqQ/aKbLT9h33eVYh8al1lpSRyzDGwnT2\nKK59qmsMYFesX4xB2mVMdbXV1f3Vp8+uG9u+Xil9+Qe69uUa9/rKWjZXw5guS9LabI3JLobo2HMT\nM0PpimvSga5r1F13QmN1+s6LTQ7kU+4xLMhVwTBGY+E6qxtmMUaei2FVLxsyhnQZiH1GsMtEZM7E\nNr703U/s8+u6Vt+qqRcL15lhDMaCtLaWxmToABSasTTFypxrfW2/h6R69x0Ac2Thc13ZHNPQX1IQ\ntWGMxdJ1FuthUzXmQrKSpujLfSYW6+6oIQbZlIxNn/b3rcx2fRba7tk1ZnLpOjOMoViS1mZvTKaa\nDfSN9Whzu/SNMem7dt8LRt+99LmEpkqQ0DU4psikN4YbMlD4vS/IVcEwRsF0Fk21L29y73eJWewj\npWtqU1tT9/Mhk6yudK0e9l3DNx7VtQ29mM4MYxgWprXZG5OpsqE2zSpWs9n5ZodzaUebC1LsPeVy\nCe0yGLsGx1D3HF83XN96XVhaemfDGAPTWTtd/aDLvpQGmktfnnu1MMV4kCKvgsvvbWNmjhVTlwQ8\npjPDGIalaW32xmSdmIGzaTBwiTnJTcjsao640djZVBc3oOrLSv3ZpxqAve9BtXszDCMe01kjrgll\nQj1A2sIMuoygGG+WFO60sfSFj6SibcyMWRmOXmE2nRnGMCxIa2tnTPrgYoy5Zp3L2ZYQugaZrheG\nnG5BPu3KYbwH3YMua3bJMEbBdLYbMeEbrp4tdcOwKZmazypnTJ8d4z7bt98lPtR1wnKoGMyuZHdR\nY6PpzDCGYWFaW2tjMiRLaX2ATRXb0Nc2F7fSVIZfW4xKTLKeVK5HOWeMQ/+OOTsEEdlfRC4TkRvL\n//drKXe8iNwgIttF5MzK/reKyO0iclW5vaxy7C1l+RtE5KVxLTWMvJjOHiUk9r7tZxfjsh7O0WRo\nhuIT8uFTpi/5XIhXUWovGB/6ch2kmug1nRnGMCxJa2ttTPYNIjkTAPStwMXELq7qCL22z3mhq4W+\n8Y7V+NTqvlzJGbziJvPOLp0JXK6qm4DLy993v77IBuAc4ARgM3CSiGyuFHmnqm4pt0vKczYDJwLP\nAo4H3lPWYxiTxHQWhkuMYlM/3tS3rgxKn/i/6nV82xdaZ0rjqok+AzUHoau+vm0ynRnGMCxJa2tt\nTDaRMhudbz19M6l1ugL8U6xKurYhZGbZd1a4aQU4p9uUc91Kbr/3rcAF5c8XAK9oKHM0sF1Vb1bV\nB4ELy/P66r1QVR9Q1a8C28t6DGN6mM4a6YthrNNmIPquzrVlKvUxalyTA6V2nY3JMZBzRbLveXR5\n5STz2DGdGcYwLExra2dMpjAiUq5OVmdeY5IWdBG7etiH7/MYw0WoTpO7Umi7HNI7HyAiV1a2Uzyq\nP1BVd5Q/3wEc2FDmEODWyu+3lftWvEFErhaR91dcHfrOMYxJYTp7lKYxY0jPjBQTeykTz7TV45M8\nqMvIzJHUx+X6XX/frvhVn8RLdUxnhjEMS9JaFmOy9Le9TkS+IiIfFpHHd/n3xvrC+xhTocaFyyxr\nE6uZ1xAXINd25XS9abpeH75/g1zGZ9Oz8R54cXJVuEdVj6ps5+9Wh8inSy3Ut91miFRVKeaz3Nom\n8hbgJODbwLXAXcB/E5HLgF8BfrfmR/9KizkxpojpbHdcV9dCx7CcY8aqT4+dyHNZSWwzxnxiH31y\nCLiEiYS67nbRNc77/C2nrLOSxwH3U7ybvhB4l4jsD7wceHvqd0fDyMUMtHYu8HRgC7ADeEfovUIG\nY1JEDgNOAV6gqs8GNlD43zb696bwhfcxXroGnLb/Xa7Rd32XOMYuIyuHMeo6u5nyJaSe6CEkwZHr\nC1WSmfE+NwUHVwVVPVZVn92wXQzcKSIHAZT/39VQxe3Axsrvh1IMuKcAWyo6uwd4KYW+/kt53sqP\n/pkUrgoWc2JMD9PZbrSNCfUxyydp2VCTjqs+3WdV1WclsXqsy+CLNWZ9xo/6GOnquutqsLqGm/Qy\nXZ3dXr47/lsefXf8KnAMhbauA/4rj747HkpheFocpTFNJqy1su47VXWnqu4C3sujrqyt53SRY2Xy\nW8BDwA+IyJ7AE4Cv0+7fm80Xvm3AbYrbaPvf5byua/eVq16nPvjmcnHqakPbsZTX6avTxV2o7/k2\nzY77zFZXyRxEvQ04ufz5ZODihjJXAJtE5HAR2YtiAP1LCp0dVtHZvwD2ptDXNooO4ZUicjhF8PV/\nt5gTY6osWWdH7nf3Iz+79Fmu7pF1fPu+oUIWQseYLoOvOobmGj998yDU8TFY27xs1mQ820bx7riL\nR98dD6fQz1bgD8pyHwb+V2BTedziKI3JMmGtrQzQFa8EvlKp90QR2bsc0zYBX+xrTHJjUlXvA94O\nfI1i6fSbqvrXtPv3OvnnisgpK7/ind+536ktbTEHKVxgmvBdwcvtdtR2fz5Go28dLsdzxLW2JXZI\nsTrp4Pcew9nAcSJyI3Bs+TsicrCIXAKgqg8DpwOXAtcDF6nq/6TQ2dXA94EXAwcXxXWHql4LfAg4\nAvgU8LcUmlyRTGeGkYIl6ay89iNau+rWJzyyv6nfCvHgaMK3DtfyMUZnSAhJjvCIVKuXMddvMxCb\njoUayhPV2bXlu+Pd5fZ94MkU7uUHqurfABcBnwF+BDiNQodZ3h0NIwVT1Vp5/ttE5BoRuRp4CfBb\n5TnXUmjtOoox7TRV3dnXmBxurkeUjTqcQuz7iMivVMuE+Peq6vkrv+IN++7zyH4foyXWVbXvmr4z\nwslcV3ra1XTdWFxWW0PPHXtQ3w0Fdmr3FlO96r2qeoyqbipdGu4r939dVV9WKXeJqj5DVY9Q1bMq\nOjsY+AFgNdhq5ZyzgG+p6jPZ/QW3qz2NOjOMrCxMZ+V53lpzHe9iYitDrh/S/7at6vnkIkhJqiQ8\nMc+6zSsq2SrrRHUGj7w7Phn4YQqtXUnh5ro65yxVPYJCa5/0aJONacbwTFhr5f5Xq+qRqvocVX15\nZbHvEa2p6jNdtZbDzfUo4P9T1btV9SHg48CP0+7fG+SfuyLGaPFZPYx1Oe1yXfEN2O8b0Ptcb3xW\nFYdM7tN0zZRuWaGDfObZpVAG1Zlh5GbJOqu6uUL7al3feJc6VCHlhGy9vq4xMceE4xBU2+7bRld3\n5dh7n6jOwMY0Y82YsNaSk8OYvAF4kYg8QUSEYmbpetr9e4P8c2NoM86ajLrQgaHr2m0umW20DTJt\nCYP6jLEURnZuQlySq+V9j3Uhu7RzG4nJ68wwfFiyzq75xlN3+72pj/dx/0+1yubS/7r0zbGxhXVc\nJhxzTCz6nJ/63aFebygT1RnYmGasGRPWWnJyxExeBXyAwkXhmvIa59Pi3xvqn+tL1+pfU8B+9bxq\nGZ/rtV3LJzaxi7aEQSmSzvi2L3XMTJ1cq5W9qMM2AlPVmWEEYTprjJer9/FDrsj1eeOsxhpXI9en\n7T7JZVwS1vStsMauIvqUHXVVdaI6AxvTjDVjwlrLQZbvmVTV/6Kqm7VIYfvqMttWo39vWd7bP7eJ\nrk7a103VxYh0vZ4LKWdsc6wsuiS86TruU3fbPpdjKcpXEUBUO7exGEtnhpEa01n7qmJMYrcQXPID\nrNriMz42GXdtRmOuFdY2cnrj+LoK5zQ2p6wzsDHNWB+mrrXUZDEmhyDGfbM+WLomx0kdP1KtM6Wr\nTsiz8cV1pjnFimXISmTKbH+yUzs3wzDiMZ014ztR59PX940VLsZiSJxmk1dNaqoTwjm9WbreE1xX\nbldl+8qnGNNMZ4YxDEvS2myNySZC4uq6ZlfrM6mhq2+uLrZ9bXA9NlTMo8/LQowbb5225BRt145i\nYa4KhjEKpjOvFUHX8/omI1Mk1JlCjH0TLm66Luf6Gu9t13Wpx3cF1XtcNZ0ZxjAsTGuzNSZ9XSND\naXN39TEuc7meDkGq1ceQ+2979jF/e3+jtjuAet2CqA1jHExnMUZI089Nv1frjHW3jIljz4WL19Hq\nmOtkZY6kQanwX3U1nRnGMCxLa7M1JlPSN0NZdefpyjI6RYMx1r3HZcD1jeNxdV+dzPNU7d4Mw4jH\ndLYbqZO/+eLibrkaH33iIfuIaX+XMe06Zg017nSNibE5BzoxnRnGMCxIa7M3Jn1jCmNiLasrjD4D\n/dCztk2DZogLcGg512ccOminyvDnhC7L790wRsF09hhC+0fX7KoQPja5rIa6JBRq2p9qTPV1ba0f\n75sADXl21XqanmHOGFLAdGYYQ7Ewrc3emOxytXExYEITtfjELgzhDtQ365o7qN+V2Bgb1/OT3tOC\n/N4NYzQWrrPYPivE0AkxuGKv3eaaGROn6NK+1WSw61jdZez1tSE0R4IvQZ+ZhevMMAZjQVqbvTFZ\nxSV+oMngbJql9cmUuqqn67hre0Lpc0fturfUs6CuLkQhz8r1Oac0nmXXrs7NMIx4lq4zn344V2Kd\nkERzIef0le8ay33j+OvjxhBurGMkwTtyv7udzlm6zgxjKJaktVkbk02GUt9Mq6uhE+om6TJI+tTX\nRZ8bb3XgdJ1R7arb57hLed9777qHbDEmCuzq2QzDiMN0thsx3jIxE2mu3jxdx0MSzqUOg+hbYRyb\nGEO5jWu+8dT+QqYzwxiGhWlt1sakq8vImANIqrjAELelGBem1M/UtbzPYDpE8iOh+0tn1+2LZw1j\nDExnu1NdSUvpsp+inxzbIPNxVV3RlEQvlBR/j2Qx/Z6YzgxjGJamtVkbky74usSMcf162SZXnCb3\n0L6Bp8m1Ncdglftlp8+1OGd7ANi1q3uLQET2F5HLROTG8v/9WsodLyI3iMh2ETmzsv8jInJVud0i\nIleV+w8Tke9Vjk0jd79htLFgnVVdFENi/6sMOZ75JsALKdOEb7hEilXbpmtPhZtedZ6zm+uSdWYY\ng7Igra29MRmS2S40pXno9X3LhgxmIeekHFxj3GJTrYIG/V3zuyqcCVyuqpuAy8vfd0NENgDnACcA\nm4GTRGQzgKq+SlW3qOoW4C+Aj1dOvWl1TFWn9wZkGCsWrrOVi2KKePbQEICQDKmuYSMxZZrIMT74\n5D3oCzFxrScVR3zk1Km4uU5aZ4YxGAvT2tobk120DdypMq65zNq6xhKmyDjb1Q7f833b4+vm6rPq\n6Gv0+v5dMwdRbwUuKH++AHhFQ5mjge2qerOqPghcWJ73aBtFBPgl4MOxDTKMMViyzlarSq7xhm39\nYJNB41rfFFfcVvQZ2bGGnK9x2nT9lPkQcrJknRnGkCxJa4s2JnO7CrnM2qZcjQxZeQsd8GKysrrW\nG3K8jfA29nzpbOH3foCIXFnZTvG4wIGquqP8+Q7gwIYyhwC3Vn6/rdxX5SeBO1X1xsq+w0s3hb8R\nkZ/0aJNhDMyydea0qlShzfW1z6Bpy+odmo28qe6ma4TUW2+fz8Rnrpj+ettcjNhcK5Zh9SxbZ4Yx\nHMvS2qKNSfCPxxuCtiQBLpn4xoj/TPWscibfCW6jAju1e4N7VPWoynZ+tQoR+bSIfKVh222GSFVj\nvn3oJHafWdoBPK10Yfht4EMi8qTAug0jL6az3cjVjzclaPPpS7sS2LRlDg9d9XQ1EFPFZvoYgtV7\nbcuaviLniqX358R0ZhjDsDCtLd6YHMIQ8jWSYjK9+aZlb5upDr1+3zW6yuSIL3W9fhexGblU9VhV\nfXbDdjFwp4gcBFD+f1dDFbcDGyu/H1ruozxvT+DfAB+pXPMBVb23/PlLwE3AM7xv3jAGwnT2KIMl\nF3O4Vt3YzL3qV79+ivpdnmeoIRi6qhl7TsjfAkxnhjEUS9La4o3JVHS5E4UYSUOtjPZ9lUjqa8SU\nyXn9VhTYuat7i2MbcHL588nAxQ1lrgA2icjhIrIXcGJ53opjgX9Q1dtWO0TkqWXwNSLydGATcHNs\nYw0jC6YzJ3KPC02upaknXNuMKZ/kQy6ToCEJhYZgqAR6jZjODGMYFqa1tTMmh8yg1uUW4xNTmOt7\nr0LrHTemo7u+If++BU5+7zGcDRwnIjdSCPtsABE5WEQuAVDVh4HTgUuB64GLVPXaSh0n8tjg6Z8C\nrpYi3fPHgFNV9b7YxhpGHkxnXcTE3cXE0KeIjW9yDW077trHu0yC1ts+xHgYmzk3//hmOjOMYViW\n1kRn+MWZez9tox78pjOcy089Ux2ka6NLPTmeR18W1hT1p8iuW63jljPe/CVVParrnCc//of1xze+\nprPeT23/w9565oivzgyjCdNZP65aC+0HxxgD267p25a2CdqUzyGkTbH1pP6bfP0d7+KBr90qXWVM\nZzamGfHYmPZY1m5lsgkX4yqElCuKvtn02lZFx3IpbYrf8InHXJXpuq8UGQG9ye+qYBiG6cyJFNm3\n20iVyMalLX05BvriNLtWMZv293kMda3AtsUrNuGzkutjdCZbsTSdGcYwLExrs1yZFJFvAzeM3Y4G\nDgDuGbsRDVi7mvkRVe3Myf/kvQ/UHz/4lzsr+dQt71yb2aUqInI3cD/T++yM/blpw9rVjOmsBxvT\nvLF2PRbTWQ+mM2+sXc2Y1mrsOXYDArlhin8AEbnS2uXOVNu1G6vZpQWiqk+d4t9oim0Ca1cUC9ZZ\niY1pHli7AjGdmc48sHZFsDCtzdWYNIzhmOHqvWHMDtOZYeTHdGYYw7AgrZkxaRidKOxazuySYYyD\n6cww8mM6M4xhWJbW5mpMnj92A1qwdvkx1XY9irKoDqGBKf6NptgmsHaFYzqb6t/I2uXHVNtVYDqb\n6t/H2uXHVNv1KAvT2iyNSVWd5AfJ2uXHVNv1GBbUIdSZ4t9oim0Ca1c0prPJYe3yY6rt2g3T2eSw\ndvkx1XY9hgVpbZbGpGEMh8Ku5fi9G8Y4mM4MIz+mM8MYhmVpzYxJw+hCQXU5s0uGMQqmM8PIj+nM\nMIZhYVrbY+wG+CIix4vIDSKyXUTOHPC6G0XksyJyJ/ItOwAAIABJREFUnYhcKyJvLPe/VURuF5Gr\nyu1llXPeUrbzBhF5aca23SIi15TXv7Lct7+IXCYiN5b/7zdku0TkmZVncpWIfEtEzpjC8/JmQV88\nu2IsnZXXNq35tWk9tGY6M509eh3TWS4WqDOwd8eWtpnOcrIgrc1qZVJENgDnAMcBtwFXiMg2Vb1u\ngMs/DLxJVb8sIk8EviQil5XH3qmqb6+1dTNwIvAs4GDg0yLyDFXdmal9L1HV6pe4nglcrqpnlx3n\nmcDvDtUuVb0B2AKP/N1uBz4B/CrTeF5u6LIycsHoOgPTmhdroTXTmenssZjOUrNAncHoWjOdebAW\nOoPFaW1uK5NHA9tV9WZVfRC4ENg6xIVVdYeqfrn8+dvA9cAhHadsBS5U1QdU9avAdor2D8VW4ILy\n5wuAV4zYrmOAm1T1nzrKjP28WtGdOzu3NWQ0nYFpLZLZas10ZjrrwXSWgAXqDOzd0QfTWSKWpLW5\nGZOHALdWfr+NblFmQUQOA54HfKHc9QYRuVpE3l9xCRiyrUoxG/MlETml3Hegqu4of74DOHCEdq04\nEfhw5fexn5cHWswwdW3rx2T+FqY1b2aqNdMZprMqprMsLFJnMJG/henMm5nqDJamtbkZk6MjIvsC\nfwGcoarfAs4Fnk6xLL8DeMcIzfoJVd0CnACcJiI/VT2oqkrRaQyOiOwFvBz4aLlrCs/LHQV27uze\nIuiKT6iVe7+I3CUiX3E9f7JxBI6Y1vyYtdZMZ6NhOvPDdNaO6awd05kfs9YZLE5rczMmbwc2Vn4/\ntNw3CCLyOIrO4IOq+nEAVb1TVXdqkbbpvTy6vD5YW1X19vL/uyh8y48G7hSRg8p2HwTcNXS7Sk4A\nvqyqd5ZtHP15+aCA7tLOLZJVfMIm4PLy9yb+FDje9fxaHMHxwHvK+AMXRv9bmNaCmK3WTGeA6ewR\nTGd5WKjOwN4dGzGd5WNpWpubMXkFsElEDi9nLU4Etg1xYRER4H3A9ar6R5X9B1WKvRJYWf/bgBNF\nZG8RORzYBHwxQ7v2kSKoGxHZB/iZsg3bgJPLYicDFw/ZrgonUXFTGPt5eaOa2++9LT6h1gz9f4D7\nPM6PiSMYTWdgWotgvloznZnOHr2+6SwXy9QZ2LtjU7tMZzlZmNZmlc1VVR8WkdOBS4ENwPtV9dqB\nLv9i4NXANSJyVbnvfwNOEpEtFBMRtwC/Ubb1WhG5CLiOIpvXaZonu9SBwCeK/oo9gQ+p6qdE5Arg\nIhH5NeCfgF8auF2rDuo4ymdS8raRn5cX3+Ybl35610UH9BR7vJRptUvOV9XzHS/RFp/gSld8w+cr\n5ZzjCEbWGZjWvJm71kxnprMKprNMLFFnMLrWTGeezF1nsDytia5ZEKhhTA0R+TTwww2H/gNwgao+\npVL2G6ra5vt+GPBXqvrsyr5/bjpfRP4Y+Lyq/nm5/33AJ1X1YynuyTCmhunMMPJjOjOMYZiT1ma1\nMmkYc0RVj207JiJ3ishBqrpDdo9PcKXt/EnGERhGLkxnhpEf05lhDMOctDa3mEnDWDfa4hNiz59m\nHIFhjIPpzDDyYzozjGGYlNbMzdUwRkREfhC4CHgaZXyCqt4nIgcDf6KqLyvLfRj4V8ABwJ3A/6Gq\n72s7vzznPwCvo4gjOENVPznozRnGRDCdGUZ+TGeGMQxT05oZk4ZhGIZhGIZhGIY35uZqGIZhGIZh\nGIZheGPGpGEYhmEYhmEYhuGNGZOGYRiGYRiGYRiGN2ZMGoZhGIZhGIZhGN6YMWkYhmEYhmEYhmF4\nY8akYRiGYRiGYRiG4Y0Zk4ZhGIZhGIZhGIY3ZkwahmEYhmEYhmEY3pgxaRiGYRiGYRiGYXhjxqRh\nGIZhGIZhGIbhjRmThmEYhmEYhmEYhjdmTBqGYRiGYRiGYRjemDFpGIZhGIZhGIZheGPGpGEYhmEY\nhmEYhuGNGZOGYRiGYRiGYRiGN2ZMGoZhGIZhGIZhGN6YMWkYhmEYhmEYhmF4Y8akYRiGYRiGYRiG\n4Y0Zk4ZhGIZhGIZhGIY3ZkwahmEYhmEYhmEY3pgxaRiGYRiGYRiGYXhjxqRhGIZhGIZhGIbhjRmT\nhmEYhmEYhmEYhjdmTBqGYRiGYRiGYRjemDFpGIZhGIZhGIZheGPGpGEYhmEYhmEYhuGNGZOGYRiG\nYRiGYRiGN2ZMGkZmROR4EblBRLaLyJkNx39URP6niDwgIm92OVdE9heRy0TkxvL//Ya4F8OYMqY1\nw8iP6cww8jMnnZkxaRgZEZENwDnACcBm4CQR2Vwrdh/w74G3e5x7JnC5qm4CLi9/N4zFYlozjPyY\nzgwjP3PTmRmThpGXo4Htqnqzqj4IXAhsrRZQ1btU9QrgIY9ztwIXlD9fALwi1w0YxkwwrRlGfkxn\nhpGfWelszxSVGP2IyNOA64Anq+rOnrKHAV8FHqeqD+dvnTvl7MYHgB9TVe0p+xzgPFX98UEal4GX\nvmQfvfe+zj8XX7r6gWuB71d2na+q55c/HwLcWjl2G/BCx8t3nXugqu4of74DONCxzrXGdDZPEugM\nTGuDYTqbJ6az+WFamydLe3c0YzIRInIL8O9U9dNNx1X1a8C+gzYqD/8n8PZVZyAi+wPvA34GuAd4\ni6p+CEBVrxaRfxaRn1fV/zFaiyO4576dfOHSQzvLPO6gm76vqkcN1KTHoKoqIp2d87qwYJ2dDrwW\nOBL4sKq+dlXQdDYcS9HaEnUmInsD7wGOBfYHbqIYzz4JprMhWYrOYJlaAxCRP6fQ2j4U747vA87S\nAtPaAKTUmbm5DoCIrIXRLiIHAS8B/rKy+xzgQYrZjV8GzhWRZ1WOfxD4jcEamRhFeUh3dm493A5s\nrPx+aLnPha5z7yz/Hqu/y12Oda4ta66zrwO/D7y/5bSl6wxMa4Owxjrbk2I2/6eBJwO/B1xUrvas\nMJ2ZzgZjjbUGcDbwdFV9IkVs3xuA4yvHl661WenMjMkEiMifAU8D/oeIfEdEfkdEVER+TUS+BnxG\nRA4r9+1ZnvM5EfkDEfmiiHxLRC4uV/ma6n+yiLxPRHaIyO0i8vtlgC0i8loR+X9F5J3lTM5NIvJi\nEflVEblVRO4SkZMrdf2siPxdec1bReStlWOrNp4iIl8vr1fNEHUc8GVV/X5Zfh/gF4D/qKrfUdW/\nBS4GXl0553PAMeWs7yzZ1fOvhyuATSJyuIjsBZwIbHO8dNe524DV3/Vkiue+1ixVZwCq+nFV/Uvg\n3pbH8zmWrTMwrSVhqTpT1ftV9a2qeouq7lLVv6JwGXxB5ZzPYToznSViqVoDUNWvqOp3V78CDwN3\nV875HMvW2qx0ZsZkAlT11cDXgJ9X1X2Bi8pDPw38L8BLW059DfA64CAKIb27pdyflsf/BfA8CpfS\nf1c5/kLgauAHgQ8DHwGOKsv/CvDHIrJyk7i/vO5TgJ8FflNE6gG4LwE2ldf5XRE5ttx/JHBDpdwz\ngIdV9R8r+/4eeGRlUlVvpwgOfmbLvU2aYnZpV+fWeX4Rt3A6cClwPXCRql4rIqeKyKkAIvLDInIb\n8NvA74nIbSLypLZzy6rPBo4TkRspXEXOznD7k2LBOutl6ToD01oqTGcFInIgxRi3+hyYzjCdpWTp\nWhOR94jIdyliQs9S1StXx5autdnpTFVtS7ABtwDHlj8fRjHT8vTK8dW+PcvfPwecXTm+mcJddEO1\nLIX76APAD1TKngR8tvz5tcCNlWNHluceWNl3L7Clpd3vAt5Za+OPVo6/DXhf+fN7a23+SeCOWn2/\nDnyutu924KfG/huFbM99zuP0ntsP6dyAK8du51K2JeqsVs/vA3/acsx0ZluSzXTG44BPA/9XwzHT\nmW3JNtMaGyiM0HuBF9aOmdZmsq2FP/aEudXj+D9RDGAH1Mr8SLl/h4is9u1RO/fOys/fA1DV+r59\nAUTkhRQzEc8G9gL2Bj7a064jy5+/ATyxcuw7wJNq5z4Z+HZt3xOBf2am7GIReQDmzLrrzBXTmZGT\nRehMRPYA/oziBf30+nFMZ0Z+FqG18no7gc+KyEcpjN0vVA6b1maCubmmo+lT0/dJqgbIPo1iSf+e\nWplbKWaXDlDVp5Tbk1T1WYTxIQqf6Y2q+mTgPEBqZert+nr589UUbj8r/hHYU0Q2VfY9l4pbkIgc\nQtHxeLntTQUFHlLt3IxBWaLOejGdGYlZpM6keOt+H8Wqzi+o6kO146YzIzWL1FoDewKrGErT2sww\nYzIddwJP9zznV0Rks4g8AfhPwMe09j1CWnwfzF8D7xCRJ4nIHiJyhIj8dGA7nwjcp6rfF5GjgX/b\nUOY/isgTpMjK+qsUfvQAlwHPF5HHl227H/g48J9EZB8R+Qng5RSzuit+GviMqj4Q2N5RUZSdPZsx\nKIvTGRRZ/crfNwAbROTxsnumP9OZkZJF6gw4lyJW7edV9XsNdZnOjNQsTmsi8kMicqKI7CsiG0Tk\npcAvsXsyGNPajDBjMh1/QBEA+8/ALzqe82cUAdJ3AI8H/n1LuddQzNBcR+Eu8DGKwOsQXk9h/H0b\n+N95NOC7yt8A24HLKb4X6K/hEfeHzwBba/X9AEV64Q8Bv6mPBvpC8XUh5wW2dXRU4aGezRiUpers\n9yhcjs6kSIzwvXLfCtOZkZLF6UxEfoTiqwi2AHdIkV3zOyLyy5W6TGdGahanNYqFu98EbgPuA84C\nXqOqVRdX09qMEF2zpda5ICKfA/5cVf9k7LaskOL7tL4KPE6LbFBNZTYDFwBHa8+HR0SeQ5HA4F8m\nbupgHPmcvfTjl9RDEXbnGRt3fElH/pJnoxnT2Twwnc0b09k8MJ3NH9PaPFia1iwBj+GFql4H/Jhj\n2auB2XYGsPJ7r4cFGEZeTGeGkR/TmWEMg2ltvZmEm6uIHC8iN4jIdhE5c+z2GMYKBXYinducMK0Z\nU8R0Zhj5MZ0ZxjCsm9b6GH1lUkQ2AOcAx1H4T18hItvKWYy1RVX/1dhtqKOqt/DY7FyLpphdmsSc\nSzRL1JrpbB6YzuaN6WwemM7mj2ltHqyT1lyYwp0eDWxX1ZtV9UHgQnZPPGEYo6EIO9mjc5sRpjVj\nkpjODCM/pjPDGIY101ovo69MAoew+xed3ga8sF5IRE4BTgGQvfZ6weMO/CGO3O9urvnGU4dppbF2\nPHjrbfeoau8HaNf6+L33aq1JZ+tCbH9h/U0YpjP3Mc0wQnn4vvvY+Z37e0VkOjOdGXEscEzrZQrG\npBOqej5wPsDeT9uoB7/pDO4FDh63WYYjN73qPI74yKljN2M3bjnjzf/UV0YRHtQNQzRnEjTpbF2I\n7S/G7m+mqCEXTGfNrLPWjOH5+jve1VvGdGY6M+KxMe2xTGGd9XZgY+X3Q8t9xhoxx5dgKPzed7FH\n5zYjTGszZq4acsF0Ng43vWq2X+MGzKv9U2ir6Wxcmj4DU/hcGOlZM631MoW7uQLYJCKHi8hewInA\ntpHb1ElK8Q/VkViHFYZqMbvUtc2I2WnNWAamszBi+/W5T1DMqf1TaKvpbFyaPgNT+FwY6VkzrfUy\nujFZfsHp6cClwPXARap6ba7rpTCqUop/qI7EOqxwdiGdWx996cul4N3l8atF5Pnl/meKyFWV7Vsi\nckZ57K0icnvl2Mv62jG01gzDh1idwTS0llNn9fFr6v36kicxp3rvpjNjykxVNyGsy7ujC6MbkwCq\neomqPkNVj1DVs3Jea+qDbyzrJMQpUPi979m5dVFJX34CsBk4SUQ214qdAGwqt1OAcwFU9QZV3aKq\nW4AXAN8FPlE5752r46p6idP9DKg1Y9n49EWxOoNpaS1GZ13PbW7jV2h7689gjuPaFP9WprPhmONn\ndgo06WaOz3Ld3h37mIQxmZM5fghdaLuvKQ5gcyaB37tL+vKtwAe04PPAU0TkoFqZY4CbVLU38NtY\nT+bWl/n0RYniS9ZCa9aHP/YZ2DNJg+lsOOwz243PeDb0s0wx1i7t3XHtjcl1FfRU7mtuL7i+rDJy\n9fi9HyAiV1a2UypVNKUvP6R2GZcyJwIfru17Q+na8H4R2S/4Jo1ZMBXN5yCBzsC0ZhidmM7ys+7v\nRL7MceEjRduW9u649saksTupO7opdwip2KV7dG7APap6VGU7P+X1pUgu8HLgo5Xd5wJPB7YAO4B3\npLymYQzN2DqDaWitq4+2F1UjFtNZXub0TjREfzKn55GasbU2pM7MmFwYSxZ2CArsZI/OrQeX9OV9\nZU4Avqyqdz7SLtU7VXWnqu4C3kvhEmEYsySBzmBNtNbVR1v/vVxSud6ZzuZPKiPQ+pN2Vs849Fkv\n7d3RjEnD6EARHtINnVsPLunLtwGvKTNzvQj4pqruqBw/iZqbQs0v/pXAV0Lurw9bCTGGIIHOYOZa\nM+bDGP1iKtc709n8GdMIXMo7weoZhz7rpb079qfuMowFowo7NXzORVUfFpFV+vINwPtV9VoRObU8\nfh5wCfAyYDtF1q1fXZ0vIvsAxwG/Uav6bSKyhWIC7JaG40mwmUtjCGJ1VtQxb60Z82Gu/aLpzIhl\nrp/9oVnau6MZk4bRwWp2KaqOIvXyJbV951V+VuC0lnPvB36wYf+roxplGBMihc7AtNbETa86z14A\nR2CKz910Nj+m+Dky+lnau6O5uRpJWUcXiAQxJoZh9GA6y4O9iI7DVJ+76Wza1N+hpvo5mgNjv48u\nSWu2MmkkZd06vlQzuYZhtGM6mye2ajIvTGfTx/SUjjGf5dK0tl6mcQBjz1wY00ZxSu9sGEYEprNp\n4Tou2otvHnK9l5jOjBCm9p48tfY0sTStrdfdOGAuBIYPibLfGYbRgelsWti4OC59zz/86wpMZ0ti\nXb9CZGrtaWJpWlucMTnGh3DsWZSxrz93diKdm2EY8ZjODMONmPcY09l60fV+1/U5sffC/CxJa4sz\nJnPQJ8qxZ1HGvv6cUZVFuSpMCd/BzgbHfqb6jExnhpEf09k88OmnQ9/v7L0wL0vT2nrdzUg0iTLn\nS9tUXwinQOpno7AoV4VQcnwmXQe71bXnPDgOoekhk6X43o/pbDrEfBZtbGpmKs/FdDYP5jyWGQVL\n09raG5NjdeI5OwPraNpJ/2yEnbpH57ZUqtoaekKlypT14JvIJOczG/I5+V/LdJaSps/REEl1pqzF\nMZnOczGdDcVUJhC6mEMb58uytLZed9NAik7cBLdclja75EOftqbzAuVHSr37PgOf8uvUL5nO0tL0\nOQrR45RdzavXWict5MR0Fs86ZDpeB28eCNf9EP3F0rS29sZkCuYuOCMcRdil3dvSmNqLW+r2uK4S\nxh6PZZ36JdPZNMk5GRJL9VrrpIWcmM7i8Q2/mCLropcpx4suTWuzNCaP3O/usZuQlKHipQx/VJc1\nu+TCFAaiPhfbFMSuvE7hOc0F01kzXf12ij7dxoU0zOU5ms6Gw7f/d/kMpfyczeUzW8e13WPf39K0\nNktj8ppvPHXsJiRliJdOe7ENZ0mzSzEM2Xnb5zmcsQfZNpaus6a/S9fnPIUGpqSjkM/lVD7LU3qO\nfSxdZ7Hk+sy5fIZS5iaY02e2imu7x8zjsGJJWpulMWkYQ7G0L56NYa6D09KY4t/JdDaNl58xCflc\nTvGzPGWWrrMUXm0xn7kcMX45NbC67rr0Q7HP6qZXnef8LJamtcUYk+siBmNYlPjZJRE5XkRuEJHt\nInJmw3ERkXeXx68WkedXjt0iIteIyFUicmVl//4icpmI3Fj+v1+qew7FNGaEkkJnsH5aM2Npd2L7\nmKX3UUvX2dhebVOO8eu6rvVDBUd85FTnZ7G0d8fkxqSIbBSRz4rIdSJyrYi8sdzfegMi8pbyYdwg\nIi9N3SYwMRihxH3xrIhsAM4BTgA2AyeJyOZasROATeV2CnBu7fhLVHWLqh5V2XcW8HTgIeA5wEfL\n642ms3XU2NJfPocj/guec2hNRDYCV1Fo7EHge8CZY49nIbR9luf0GY/tY9axj/JjmjormdyYNjXm\npNVQ1icudLLvjmcCl6vqJvj/2Xv3qE2q+s7387MRUFCBgG0DbUDSmrSXoGGQE9QkAygQY2MmSyAT\nJCZndVAwkujKYJw5cSbjhMmocZwoDEYzeDQi3kJHGxGJmuNKUC4SEAihGyF024CAF0QDdL+/80fV\nS1c//VzqsnfVrqrvZ61a7/vUU5dd9exP7UvtC1flnxsT483kduDN7r4WOAY4O78BUy8g/+404LnA\nicD785soROdknaifMHdZwNHAJne/w90fBS4B1k1ssw74sGdcDexnZqsWHPcE4PW5Z8cCL+vKsyEn\ncMp8tkMAzyCOa9uBJeBIsvTsucBrSCA9q+rdrLg85Dg+pGdTiGtJ2DNIKE1LlSG7ukzIa+zyfiWc\nd1wHXJz/fzFwSrUrm07wwqS7b3P36/P/HwJuBQ5h9gWsAy5x90fc/VvAJrKbmAxdNa1JNSFMNVyx\nKFG7dKCZXVtY1hd2PwS4u/B5S76Okts48EUzu27iuAe6+xfy/zcDRkee1X1gDy0exfJ8CG+UytDQ\nM4jgmrtvA/bL07WHgG8CB5FAejaGjGVTQt2jFObbDHUtKXqWk0ya1gZDe36L3Uk077gyT9cA7gFW\nNrxMIHKfSTM7DHgh8DVmX0CZG9YpXTWtmbdflw+iGENep4pjbPcnzF2A+939qMJyUcAgvMTdjyRr\nznC2mb1syjY/CaygZ561kRnuwwizdacYCXH/UnEzAc9ggWuF9OwxeuRZGYrxIEaciH38GDSZfijV\ngn4fPMuJkqbFmlauTpyOEUf66FbKx2xCAq4t9MzdnazQ2ZhohUkz2xf4FHCuu/+g+F2dCzCz9cul\n9x0/fDhYOFOLgGUp8yBKIQHffOqFu4S1b/c7QCfqrcDqwudD83WltnH35b/3AZ9hZ83rvWa2Kvfs\nMmBbW5716TfsIlOn+1OdQAODxHTtCLL07O3AfbuEvWaCHCtNq0MxHsSoLGxy/BDnr0MqboSkB55F\nTdNuuPvJVXYtzWRc6SoNaDPOTl5jlWtuOiJu1WmUuiD1vCNA/neX9KwuUQqTZvZEsoT3o+7+6Xz1\nrAsoc8Nw94uWS+8r9t0nWFhTi4BVWCRvzAS8LJMFyd7dbze2L62YuyzgGmCNmR1uZnuS9fHYMLHN\nBuC1lnEM8H1332Zm+5jZUwDMbB/g5WTN7Jb3eR2ZZ3cDH83XJ+nZmKha0VPn+8HR3DOI59pngcvJ\nHHs6WUa3kWfQX9cm42bXz/QQw/03pTe+pu1Zr9O0Jm+yQ5yzbSavsa1rrjKiaqeknXc8M///TLL0\nrDExRnM14IPAre7+7sJXsy5gA3Came1lZoeTjUr09dDhgrjidSF1F/MdNaHtZnlBBiwAlrC5y9z9\n3bcD5wBXkPUfvtTdbzazs8xs+YZsBO4g6/PxAeAN+fqVwFfN7B/JnPicu38+/+584I1ktU1755+h\nBc9Se5D3JiNXoG7T1qHS1DOI41qenh1C5tjrgePJXOs8PQtFqIF8Uib0PH2TrX76UnhI1bP8u87S\nNGh+b7vwom8u9jGtnqT8PJNJ5x1PMLPb2ZmeNWaPEAeZ4FjgDOAmM7shX/eHZAG+1Mx+G7iLbEQ8\n8ptzKXAL2ch5Z7v7jhABmXzIh+yMX7dWJpW3cymEoQ5Vwh3iGh3YvtSszsXdN5JJX1x3YeF/B86e\nst8dwM/OOOzPAM8AbgIOBP7WzJLwrG1SjMtd35OqdB3eEJ5BFNeOBU4l82yJzLVj6MCzWPQpntZl\n1jXWjfch8hVlzj0rD1M33Al7Bh2naWPwoC1mxc8h3OPsGt6ycLtU847u/gBwXKOATSHGaK5fdXdz\n9xd4Nr/Jke6+0d0fcPfj3H2Nux/v7g8W9nmHux/h7s9x98tDhSVWxG1y3CHIFJvUaq9CTPIcmjF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3qIPKtEzFG5yw7eFovURkKdzGv0ftyFkbmmwmQFuh5wIDRlrie1mp5J2njAjKmp\nwiRN5mXr4uHfZYLTu8SuIcGb4I3Ysz6SetoAcZ0McezlY7TZrUaelSfmqNx98KdNin3GhzKdz5hc\nU2GyAn2MzPMYwvVUHbSiDmMa3nkWbfXZbfpbxhxddVHYuhrZNRWahlWe9ev37gOznAxxnycnS29y\njDZHoZdnog1Sa6baxbN1TK71vjCZYuIbO0yzjh+jCUaK93eS6InwiJoqdE1XU8uUGTWyi8qXPlX4\nNG6WJM968Xv3IU1YRN9Hgm30G8gz0QKpdfvqpNnsiFzrfWEyxcS3q7boMZpg9HUkrWD4uGqXxkLM\n5ktl6ZMvdUb5q3RP5VktNMjFOKn9G8gz0RNitzpr4yXEmFzrfWFSNCOkrEPMZIxteOdp9KnQ0ydC\nNJNri9jzWsqzehT7NDfZf6jE8Cp1V+chzzK6nqO1Lm2ev+trhfSeT1XuydhcU2EyEG2LF2py69Rk\nrUorA/CMaHjnaSiOxCele9zV/Rq7Z03oMv6k7FeMpnYpuVoHedZ8jtau4nybca+LMQ/apmp4K1eS\njsg1FSYD0XYC08bk1n0g5jxHwOiGdx4iQ4v/8+J13e+KRHdqGvJsLl1n0oZcITmPPs0bWAp5FoSQ\nhcqk4scUqkwP1rdnQdTwjsw1FSZzxjaNQVXaHmI99Gh7TYjZ7t3MDjCzK83s9vzv/jO2O9HMbjOz\nTWZ2XmH9281sq5ndkC8nF757a779bWb2imYhjUefPCgSKtwha0frfhfi3E2RZ7Ppukl0md89NY9j\nzhFYhdQy2PIsHCk+U2MOXJNaXK5DmfsT6h6OybXBFCZDTCnQdoGpT2LGvD+pzykUuRP1ecBV7r4G\nuCr/vOv5zVYA7wNOAtYCp5vZ2sImf+buR+bLxnyftcBpwHOBE4H358fpnMl4NCujPGtE4dQyrU1J\nIa6ncE/lWTlixZcUp+VpQpeDbIXqhhIDeTafFJ6FdZg3R2Px+1Dn6StlngN9eBFBYq4NpjCZYg1R\nW8eOxbxM/2hwwH3+0ox1wMX5/xcDp0zZ5mhgk7vf4e6PApfk+y067iXu/oi7fwvYlB+nc8q+PYs1\nJUeoxLAPPoRo2toK8qxz2pizdyxM82nWvW3VPXm2kM6fhTVZFO5QI/P39f60zshci1KYzF+R3mJm\n3zSzj5nZ3vNeyXbdfEEJ6HT00MgoUbt0oJldW1jWVzj8Snfflv9/D7ByyjaHAHcXPm8BDjGztwJn\nA//NzL5nZheb2eFmdiXwH4BfL3i2BTgntWZCZWhaqTHmSpE+TQItz7qh+Dum4EaVPlp9IoV7C+l6\nlv//EjLP/tXMNpvZM8zsAOD1wJsKecfH3eyTa7NILZ7XjauxuizVpev7mrhrAG80sxvN7EOFNGzR\nPlMJXpg0s8OA9cDPufvzgBVkr0ynvpJNoTleKg/5FOhTk8JWRnKFMsM73+/uRxWWi3Y5htkX84qV\nyWWXGiJ3r9It+ylknh0FPAn4AnAAcBmZXx8BbmZn04f9gGNJsNnrIpr6GdLvlH2IRZM3KmXvlzzb\nSdtxLLX0b2h9tCCd50bCni3nHdcA+wNPBh4BLiVzawvwFnZtzncoiXblqMpQWgWk1mWpy3On7FrO\nBcCzgCOBbcC76l4rxHkz+QPgMeBJZrYH2UPh28x+JTuYZkKpEWJC6pQT81bC5vOHdi4zvLO7H+/u\nz5uyXAbca2arAPK/9005xFZgdeHzocBdZJ49RPbcejJZwvscMr+2Anew07PnA5en6FmfEtG2ByJJ\n4d5MXnOVAQxKOyrPHif2cy2FODU2kklH0/VsK1ne8RFgL7K86TbgmWR5xC/n+yznHQ8lczBo3rFL\nN5KJIz0kyWda2q7h7ve6+w53XwI+wE53Zu4zj+CFSXd/EHgn8C9kD4Pvu/sXmP1KttYrVbGYoT2c\nQkx7UIu4wztvAM7M/z+T7I3HJNcAa/KmdXuS1cZ+nMyzu8k9Aw4ELPdsA/DLwEozO5zMt78vHLOW\nZ7MGxWnC0OJpyOtJcRTNMlOH1LoH8uxxYv6mdSoH5tG3ZqlDmPi90XHT9GxDnnf8ADvzjvsBV5M5\n9dF8uweBVWRvMJcInHcM1a+wb6TWPLUqyeYhEnUNHi+ALvNq4JuF455mZnvladoa4OuLAhOjmesR\nwO8BhwMHA/uY2W8Ut6nzStbM1i+3K97xw4eDhbePDCExrEPsaQ+m4mA7fO7SkPOBE8zsduD4/DNm\ndrCZbQRw9+3AOcAVwK1kb0b+lcyzz9zYPsAAACAASURBVJFVzrwSOAP4cb7Pzfl2TwE+D3yFEs4t\n8qzJoDiL4lJKca0qqtHOqB2WkXmWn3umayH6LLU1+FLfmqWmPvF71OMm6pm735znHf8jOwuTBwNf\nzfdZ9uwWYB+yPsyNPWtCH+L6JLO6MYVuntpGethGJdbmUy+sf+yEXcv3/1Mzu8nMbgR+iSydm3Tt\n88DZ7r5jUWBiNHM9Cvh7d/+Ouz8GfBr4eWa/ki31StXdL1puV7xi330iBLs/DCEx7BURa5fc/QF3\nP87d1+RNGh7M13/b3U8ubLfR3Z/t7ke4+zvY6dlr3P35wBvJanHvKdQ4fYhsJK/nAP9AQ8+azs8U\ncrS51Og67G0n3lEYkWf5uYKnabELdn2u8BE5aXoGmWufdPe17v4CssGt1pLnHfPtXkLm2uUo7ziT\nef3cYw641ahlSsljL9NGJdYRHz+r2bHTdQ13P8Pdn+/uL3D3VxVajuLu78i3f07u2kJiFCZvA44x\nsyebmQHHkZWIZ72SrfVKtc+UTZBjJ9zKGJSjRCfqLmjdszbnZxLV/Gzjvpc9R93nijyLy3Ite4ym\n6n1hjNc8SaKeQYuuDT0edNKKK8KxyxZ8U/09E3YtODH6TN4AfBi4FrgpP8dFzHglW/eVapFUI9Is\nygoXO4M4lox/0/jRtBN1DLrwbBp972tRlzausa9+1g23PIvLci17k6bqVUedTO1Z0FenQpKiZ9Cu\na6nFg9Q8SYXi7zSvWWtqv+cyqboWgyjzTLr7f8+bKjwvf5X6yKxXsvn2lV+pFkk1Iok0iNpMocPn\nQdueTSO1ocDL0jTxnnWNbWUKQp9n0eBWnTdxHblnMajbbH057pfZvw/PglGRsGcwXNcWMcupPhUy\nY4d1XrPWJFtbJO5aaKIUJkUYkhJjAUMNqxG9E7XogOQGxuj4PNOOV+z/Evu65Fk1QjxvmzZbb9rs\nuU9pxlCQZ9Vpc+C4VKZm65ubTVpbxGJsrqkwWYGUhuBPjSGH1dznLkPl+ft/p+sg7EKfa21jEus+\nzCtgxmCsntUhxGivdal6jFlhjd0HV0xHnlVjUdPuPuV9JpnVTaVuE/iq5+6b21XDOybXVJisQOpD\nJTc5T9+kLhJ3jkmHpQXLQLnpuwd1HYRdWFRrm0riFHs+1EX9RdqaozDoeUbsWZuEyPi2nXnuc2Y9\nOeTZbsRorp1ks8spdNlNpY0WL6GpFN6RudbLwmRqb0zKkHrzt75JXSR6E7wRjcjVZ1JJnGKPpJfK\nFCuhzzNmz/qYpg2d1AsCdRmzZ9OI8bxMsdllXdr2YEjejcm1XhYmJ9+YDCnylWFs19spPq52723S\nl3icYji7aK4YlZF7llorgLokFadKMm9OvjbO2eo9G7lnqdEHX6p40FZf7thhCMLIXOtlYXKStvv2\ndM0QarvaplF8cJ+/iFr0JR6nGM5UmyvKszToKv1L0ZVFtBnmaZO6t37P5Flw6vrWN18WXWebXS7K\nhqFTRuTaIAqT04g5eWoX+4cilXC0TdTpQcRcxhrn+k6d302epUGowW367m5qI8mGesvTrNJmwSIq\n03YBpqs+mVWvs07hsu/PnF0YkWuDLUyGpunDoo2Hjeb9ioMtLc1dhsq0flytFzBaJmRC1vdEMURz\no0rT8IzUs5BUvefzfuPiqI4p9JsK+exJ7q38FGL1vZZn5WhaYKu639DTVmg+HVHfGJNrKkz2kC76\neHRJpxl8B5YWLANlWj+u2HGsjUxrW8O8D9XHMiwXRErfgxF7toiqhcNQ8S5WU8y6lZ6LwtB15U0v\nfJdnpakziE4xDjZ9ixdqW9ERI3NtcIXJNhOUEE1f+1wbVSfsXV9v5Tkm8VHVLnVNG3G7D28l6p6z\n6wz1MvIsHDHj65Cmkipzn1IMN7QXLnkWF82dmiZd3O+xudbrwuS0CNJmQStE09dUCoZ1WNREquo+\nyRKxE7WZHWBmV5rZ7fnf/Wdsd6KZ3WZmm8zsvML6j5vZDflyp5ndkK8/zMx+XPhOqVdEuojXXc4R\nFgV51hpNpy5oEs+6jKOp+TFtQJ7oyLPOSS0etkFbLx+m0dn9HpFrvS5MdjmKa5XzhA5TH2q1FvW1\n6cM1AG0M73wecJW7rwGuyj/vgpmtAN4HnASsBU43s7UA7n6qux/p7kcCnwI+Xdh18/J37j6+1KtH\njG5ggknkWVKkNOl6l2GIfe72R3KVZ0VSiN/LpBSWZUKGqU5cr7pPUvdwZK71ujA5jVQm7J7Wdr73\ntSw1aHMAhGjEHd55HXBx/v/FwClTtjka2OTud7j7o8Al+X6PY2YGvAb4WNMApcKkL0klFDVo2lez\nLWc6u8/yLCp1BuZJYdqtOi1gyjDaAevk2eOk9Ps2CUssJ1O6P2VIbo7KEbk2uMJkKjRtgjbk2the\n4Q5LS/MXONDMri0s6yucYaW7b8v/vwdYOWWbQ4C7C5+35OuKvBS4191vL6w7PG+m8BUze2mFMCXB\npC+xMpUx6LoJfhM6Cac8i06oPoUp9U3sa3PbzpBnC0ktLSnDKONyBILex5G51vvCZB/FL4P6lSTE\n4hG57nf3owrLRcXdzeyLZvbNKcsuNUTu3mT2odPZtWZpG/DMvAnD7wN/ZWZPrXns5KkTZ2MOYCOH\naiDPgtLlYGehfGxj/6HMIV2aEXs2bbqrSfTs3p2u4njv3JpkRK71vjDZJ/H7LEZbTQ5T7F9q7nOX\nRbj78e7+vCnLZcC9ZrYKIP9735RDbAVWFz4fmq8j328P4FeBjxfO+Yi7P5D/fx2wGXh25YvvMYt+\n+5gD2PTZ9a6QZ933UeqSruZy7sMc0iEZs2fTpruahZ7hO+mqi0Xf3JpkTK71vjDZJ/osxqImh6m+\n0Wnc58eBHUvzl2ZsAM7M/z8TuGzKNtcAa8zscDPbEzgt32+Z44F/cvctyyvM7KC88zVm9ixgDXBH\n08D2iRTf7sceaKe3GSB5BvQ7jegj83xJ3aVa4ZNnpRmbiynE90Hd85G5psKkCEIf+oPWG4Z9QQfq\n5p2ozwdOMLPbycQ+H8DMDjazjQDuvh04B7gCuBW41N1vLhzjNHbvPP0y4EbLhnv+JHCWuz/YNLCh\naHs+2NhN4MpuV3egnZDHTxN5Nna6SBfm+ZL6gFdHfPysGvvKs5j0ed7W0PG9eE1V0+DY96Od+z0u\n18ybX1Dr7PXM1X7wm8/tOhjJsvnUC6e+OZz3tqS/mdD63HnuW65z96PmbfO0vZ/hP3/oGXOP8/nN\n71x4nD4iz4ZJ277Ls8XIteETy7vl4377Xe/hkX+52+ZtK8/kmWiO0rTd0ZvJAVK2L9i0N3Up1JAl\nhQNLPn8RSRMzTqc0H19Zkqw4kmeiJm062OQcsbyrdFx51jp9Shugf+FNlpG51ss3k2b2EHBb1+GY\nwoHA/V0HYgoK13R+0t3n9sh/2l4r/edX/frcg3z+rvcMpnapiJl9B3iY9OJO1/FmFgrXdOTZApSm\nVUbh2h15tgB5VhmFazpybYI9ug5ATW5L8Qcws2sVrvKkGq5dWK5dGiHuflCKv1GKYQKFqxEj9ixH\naVoFFK6ayDN5VgGFqwEjc62vhUkh2mOp8ahbQohFyDMh4iPPhGiHEbmmwqQQcwky6pYQYi7yTIj4\nyDMh2mFcrvW1MHlR1wGYgcJVjVTDtRNnVLVLU0jxN0oxTKBw1UeepfobKVzVSDVcGfIs1d9H4apG\nquHaychc62Vh0t2TjEgKVzVSDddujOiBMEmKv1GKYQKFqzHyLDkUrmqkGq5dkGfJoXBVI9Vw7caI\nXOtlYVKI9hjeEM5CpIc8EyI+8kyIdhiXaypMCjEPB9+xo+tQCDFs5JkQ8ZFnQrTDyFx7QtcBqIqZ\nnWhmt5nZJjM7r8XzrjazL5nZLWZ2s5m9KV//djPbamY35MvJhX3emofzNjN7RcSw3WlmN+XnvzZf\nd4CZXWlmt+d/928zXGb2nMI9ucHMfmBm56ZwvyrjPn8ZIF15lp9brlUL0zBck2fybOd55FksRugZ\nKO84I2zyLCYjcq1XbybNbAXwPuAEYAtwjZltcPdbWjj9duDN7n69mT0FuM7Mrsy/+zN3f+dEWNcC\npwHPBQ4Gvmhmz3b3WFUVv+TuxUlczwOucvfz8wfnecB/aCtc7n4bcCQ8/rttBT4DvI407lc53GFE\ntUvQuWcg1yoxCNfkmTzbHXkWmhF6Bp27Js8qMAjPYHSu9e3N5NHAJne/w90fBS4B1rVxYnff5u7X\n5/8/BNwKHDJnl3XAJe7+iLt/C9hEFv62WAdcnP9/MXBKh+E6Dtjs7nfN2abr+zUTX1qauwyQzjwD\nudaQ3romz+TZAuRZAEboGSjvWAV5Fogxuda3wuQhwN2Fz1uYL2UUzOww4IXA1/JVbzSzG83sQ4Um\nAW2G1clqY64zs/X5upXuvi3//x5gZQfhWuY04GOFz13fr/K4w46l+cvwSOa3kGuV6adr8gzkWRF5\nFoNxegaJ/BbyrDL99AxG51rfCpOdY2b7Ap8CznX3HwAXAM8iey2/DXhXB8F6ibsfCZwEnG1mLyt+\n6e5O9tBoHTPbE3gV8Il8VQr3qxq+NH9pwLz+CRPbfcjM7jOzb5bdP9l+BCWRa9XovWvyrBPkWTXk\n2Wzk2WzkWTV67xmMyrW+FSa3AqsLnw/N17WCmT2R7GHwUXf/NIC73+vuO9x9CfgAO1+vtxZWd9+a\n/72PrG350cC9ZrYqD/cq4L62w5VzEnC9u9+bh7Hz+1UFB3zJ5y4NWe6fsAa4Kv88jf8DnFh2/4l+\nBCcC78/7H5Sh899CrtWit67JM0CePY48i8NIPQPlHaciz+IxNtf6Vpi8BlhjZofntRanARvaOLGZ\nGfBB4FZ3f3dh/arCZq8Glkv/G4DTzGwvMzscWAN8PUK49rGsUzdmtg/w8jwMG4Az883OBC5rM1wF\nTqfQTKHr+1UZd3zHjrlLQ2b1T5gIhv8d8GCF/Zv0I+jMM5BrDeiva/JMnu08vzyLxTg9A+Udp4VL\nnsVkZK71ajRXd99uZucAVwArgA+5+80tnf5Y4AzgJjO7IV/3h8DpZnYkWUXEncDv5GG92cwuBW4h\nG83rbI8zutRK4DPZ84o9gL9y98+b2TXApWb228BdwGtaDtfyA+oE8nuS86cd369KPMR3r/ji0qUH\nLthsb8uH1c65yN0vKnmKWf0TyjKvf8PVhe1K9yPo2DOQa5Xpu2vyTJ4VkGeRGKNn0Llr8qwiffcM\nxuea+cDmOhEiNczsi8Azpnz1NuBid9+vsO133X1W2/fDgM+6+/MK6743bX8z+3Pganf/SL7+g8Dl\n7v7JENckRGrIMyHiI8+EaIc+udarN5NC9BF3P37Wd2Z2r5mtcvdttmv/hLLM2j/JfgRCxEKeCREf\neSZEO/TJtb71mRRiaMzqn9B0/zT7EQjRDfJMiPjIMyHaISnX1MxViA4xs58ALgWeSd4/wd0fNLOD\ngb9w95Pz7T4G/CJwIHAv8Efu/sFZ++f7vA34LbJ+BOe6++WtXpwQiSDPhIiPPBOiHVJzTYVJIYQQ\nQgghhBCVUTNXIYQQQgghhBCVUWFSCCGEEEIIIURlVJgUQgghhBBCCFEZFSaFEEIIIYQQQlRGhUkh\nhBBCCCGEEJVRYVIIIYQQQgghRGVUmBRCCCGEEEIIURkVJoUQQgghhBBCVEaFSSGEEEIIIYQQlVFh\nUgghhBBCCCFEZVSYFEIIIYQQQghRGRUmhRBCCCGEEEJURoVJIYQQQgghhBCVUWFSCCGEEEIIIURl\nVJgUQgghhBBCCFEZFSaFEEIIIYQQQlRGhUkhhBBCCCGEEJVRYVIIIYQQQgghRGVUmBRCCCGEEEII\nURkVJoUQQgghhBBCVEaFSSGEEEIIIYQQlVFhUgghhBBCCCFEZVSYFEIIIYQQQghRGRUmhRBCCCGE\nEEJURoVJIYQQQgghhBCVUWFSCCGEEEIIIURlVJgUIjJmdqKZ3WZmm8zsvCnf/7SZ/YOZPWJmbymz\nr5kdYGZXmtnt+d/927gWIVJGrgkRH3kmRHz65JkKk0JExMxWAO8DTgLWAqeb2dqJzR4Efhd4Z4V9\nzwOucvc1wFX5ZyFGi1wTIj7yTIj49M0zFSaFiMvRwCZ3v8PdHwUuAdYVN3D3+9z9GuCxCvuuAy7O\n/78YOCXWBQjRE+SaEPGRZ0LEp1eeqTApRFwOAe4ufN6Sr2u670p335b/fw+wskkghRgAck2I+Mgz\nIeLTK8/2CHEQ0R5mdifwf7v7Fzs49yuA17v7wpoMM/sV4Dfc/dT4IYvHK35pH3/gwR1zt7nuxkdu\nBv61sOoid78oasAKuLubmbd1vrEg19qjD56BXIuBPGsPeTZu5Fp79MG1kJ6pMCmq8A7gnOUPZnYY\n8JfAi4F/Ac5Zfki5+9+Y2Z+Y2Qvc/cYOwhqE+x/czt9/fn5l0N4Hf+tf3f2oGV9vBVYXPh+aryvD\nvH3vNbNV7r7NzFYB95U8pugHk679MVlzlJ8B/qu7v335uyG4FsAzkGuiOo97ZmZPB/4n8AvAPsA3\ngd9396+BPCsgz0QdJtO0LwHPA/YmiwPvXi5IyTWgZ56pmasohZn9G+Bp7n51YfXHgG8APwG8Dfik\nmR008f369kIZHgeW8LnLAq4B1pjZ4Wa2J3AasKHk6eftuwE4M///TOCyKtcl0mWGa5uAPwA+N2O3\nXrsWwDOQa6ICUzzblywe/BxwAFl/os+Z2b6F3eSZPBMVmZGmnQsc6u5PIfu9/5eZ/Uzh+7G71ivP\nVJgMhJm90MyuN7OHzOzjZnaJmf1XM/tNM/vqxLZuZj+V///LZvYNM/uBmd1tZm+f2PYMM7vLzB4w\ns7dNfPd2M/uEmX0kP+9NZvZsM3urmd1nZv9iZi8vbP86M7s13/YOM/udwne/aGZbzOwPzex+M7vT\nzP594XQnAV8pbP9s4EXAH7n7j939U8CNwL8r7PNl4Jfr3dE0cJzHfMfcZe7+7tvJauOuAG4FLnX3\nm83sLDM7C8DMnmFmW4DfB/5j/js8dda++aHPB04ws9uB4/PPo2BsrgG4+8Xufjnw0Izb8mV67FpT\nz0CuhWZsnuWDVbzb3be5+478LcmewHMK+3wZeSbPAjM21wDc/R/d/ZHlj8DDwA8Km3yZEbvWN8/U\nzDUAlpX8/xp4D/DnZKMlfQz47yV2fxh4LXAz2Sv/K83sBnf/a8uG8r0AOBn4GvAnZK+ri/xKfr7f\nBD4EXAlcRNbZ9jeB/w0cnm97H/BK4A7gZcDlZnaNu1+ff/8M4MB832OAjWZ2rbvfBjwf+HrhvM8F\n7nD3Yub2H/P1y9wKHJZH7uJDoleUrK2dibtvBDZOrLuw8P897P67ztw3X/8AcFyjgPWQkbpWht67\n1tQzkGuhkGdgZkeSFSY3FVbLM+RZSMbsmpl9lqxA48Dp7l5sxjl61/rkmd5MhuEY4InAe9z9MXf/\nJNlr5oW4+5fd/SZ3X8rbhn+MrM8GwK8Bn3X3v8trcP4TsDRxiP/P3a/IayI+Qdbk9Hx3f4xsOODD\nzGy//Fyfc/fNnvEV4AvASyeO95/c/ZH8+88Br8nX78eub0X2Bb4/se8PgKcUPi9vv1+Ze5EiDuzA\n5y6iVcboWhl67Zo8S45Re2ZmTwX+X+A/u3sxnZNnIjSjdc3dX0mWZ3wt8Jdm9pOFr+Vaj1BhMgwH\nA1vdvRg77iqzo5m92My+ZGbfMbPvA2eR1e4sH/fx4X3d/WHggYlD3Fv4/8fA/e6Pvz//cf533/xc\nJ5nZ1Wb2oJl9j6zG6sDC/t/Nz1G8hoOXv2PXguIPgadOhOVp7PrAWN7+e/QUBx7zpbmLaJUxulaG\nXrsmz5JjtJ6Z2ZOAvwGudvc/mfhanonQjNa1PFyPufsnyN6evrrwlVzrESpMhmEbcIiZWWHdM/O/\nDwNPXl5pZs+Y2PevyDrErnb3pwEXAsvH2UZhRCYzezJZzVFlzGwv4FPAO8nmmdmP7BV4Mcz7m9k+\nE9fw7fz/G4FnF767GXiWmRUfED+br1/mZ4A7+9pEYZmlBYtolTG6VobeuybPkmKUnuXH/Guyedl+\nh92RZyI0o3RtCnsAPyp8lms9QoXJMPwDsB34XTN7opn9KnB0/t0/As81syPNbG/g7RP7PgV40N3/\n1cyOBn698N0ngVea2UvydvX/hfq/2Z7AXsB3gO1mdhLw8inb/Wcz29PMXkrWPv4T+fqN7Gw+gbv/\nM3AD8Edmtnd+zc8ne+As8wvA5TXDmwTuzqMLFtEqo3MNIL/WvfMw7ZE7t6KwSa9dk2fJMTrPzOyJ\nefh+DJzpPvXVgTwToRmjaz+dv+l8Un7NvwH8G7Kms8vItR6hwmQA3P1R4FfJOiw/CJwKfDr/7p/J\nJP4icDvw1Ynd3wD8FzN7CPh/gEsLx70ZOJus9mkbWVOBLTXD+BDwu/nxv0v20JkcZvie/LtvAx8F\nznL3f8r3vx74vpm9uLD9acBR+T5/Avyau3+n8P3pZB24e0s2vPN4apdSZ8SufYAsk3s62TQ8PwbO\nKHzfa9fkWVqM1LOfJ8sAvxz4npn9MF+K/cLkmQjKSF0zsoLxfWRNbdcDr3T3OwvHk2s9wnxgpeNU\nMLP/A2xx9//YdVjKYGa/CHzE3aeODJVv83LgDe5+Sonj/Qpwhru/ZtG2KfO8F+zpn/rcgXO3+eln\nbrvO50/yLCIi1/rvmjxLH3kmz0Q7yDW51jc0NYgojbt/gV2bIczb9m/IBjHoPTt26RYgRHzG6Jo8\nE20jz4RoB7k2bJJo5mpmJ5rZbWa2yczO6zo8QiyTDe9sc5c+IddEisgzIeIjz4Roh6G5tojO30zm\ng0i8DziBrD33NWa2wd1v6TZkzXD33+w6DFVw9y8zY/LTMZMN75xEnUtj5FoayLXdkWfpI8/6jzzr\nB3Kt/wzJtTKkcKVHA5vc/Y68I/IlwLqOwyQEAI6xgyfMXXqEXBNJIs+EiI88E6IdBubaQjp/Mwkc\nQmFiVbIaphdPbmRm68lGfML23PPnnrjy6e2ETgyWR+/ecr+7HzRvm4HVLi10TZ6J0MgzpWkiPtsf\nfJAdP3x4bts5eSbPRHNGmKYtJIXCZCnc/SLgIoC9nrnaD37zuR2HSPSdO899y12LtzJ2jOiBIM9E\naOTZdOSaCMm33/WeElvJM3kmmqI0bXdSuNKtwOrC50PzdUJ0jgOPsWLu0iPkmkgSeSZEfOSZ6ILN\np17YdRBaZ2CuLSSFwuQ1wBozO9zM9gROY/fJUIXoBPesdmnesohFI85Zxnvz7280sxfl659jZjcU\nlh+Y2bn5d283s62F704ucTlyTSRJCM8gGdfkmUgSeSa64IiPn9V1EFpnYHnHhXTezNXdt5vZOcAV\nwArgQ+5+c8fBEgLYWbtUl5Ijzp0ErMmXFwMXAC9299uAIwvH2Qp8prDfn7n7O0tfi1wTidLUM0jH\nNXkmUkWeCdEOQ8o7lqHzwiSAu28ENnYdDiF2p3G798dHnAMws+UR54oPhHXAh93dgavNbD8zW+Xu\n2wrbHAdsdvcSbfVnI9dEmgTpX5KMa/JMpIk8E6IdhpV3XEQKzVyFSBYHlnjC3GUB00acO6TGNqcB\nH5tY98a8acOHzGz/UhckRIIE8AzkmhBzkWdCtMPY8o4qTAoxB8d41FfMXYADzezawrI+ZBjy/iCv\nAj5RWH0B8CyypgzbgHeFPKcQbZKCZyDXxLCRZ0K0QwqutelZEs1chUiZpcVNFe5396NmfFdmxLlF\n25wEXO/u9y6vKP5vZh8APrsokEKkTEPPQK4JsRB5JkQ7jCnvqDeTQsxhqVzt0jzKjDi3AXhtPjLX\nMcD3J9q8n85EMwUzW1X4+Grgm3WuT4gUCOAZyDXRY9qYPkGeCdEOY8s76s2kEAso2Y9kKrNGnDOz\ns/LvLyQbQOBkYBPwI+B1y/ub2T5ko3n9zsSh/9TMjiRrmn/nlO+F6BVNPAO5JvpNW9MnyDMh2mFM\necfBFiY3n3rhKOe2EWFxNx4rV1s75xi7jziXPwiW/3fg7Bn7Pgz8xJT1ZzQKlBAJEcKz7DhyTYhZ\nyDMh2mFsecfBFiZVkBQhcAgxlLoQYg7yTIj4yDMh2mFsro3nSkdGG/0vxoCT1S7NW4QQzZBnYix0\nmTbLMyHaYWyuqTA5UPRmNhw7eMLcRQjRHHk2bsZSAdp12izPhGiHMbk22GauQoTAKTW8sxCiAfJM\ndF3IGgPyTIh2GJtrKkwKMYflpgpCiHjIMyHiI8+EaIexuabCpBAL2IF1HQQhBo88EyI+8kyIdhiT\naypMCjEHd+OxJWkiREzkmRDxkWdCtMPYXBtPg15RmbEMiDAPB5awuYsQohnyTIj4yDMh2mFsro2n\n2CwqowER8nbvS+Np9y5EF8gzIeIjz4Roh7G5psKkEAsY2hDOQqSIPBMiPvJMiHYYk2vjuVLROkNo\nJusY233F3EUI0Qx5JkR85JkQ7TA211SYHAldFOyG0EzWHXa4zV2EEM2QZ0LER54J0Q5jc03NXEfC\nEAp2XbE0MOmFSBF5JkR85JkQ7TAm11SYFGIOY5t4VogukGdCxEeeCdEOY3NNzVyFmIOT1S7NWxZh\nZiea2W1mtsnMzpvyvZnZe/PvbzSzFxW+u9PMbjKzG8zs2sL6A8zsSjO7Pf+7f6hrFqJtQngGck2I\necgzIdphbHnH4IVJM1ttZl8ys1vM7GYze1O+fuYFmNlb85txm5m9InSYhKhPs07UZrYCeB9wErAW\nON3M1k5sdhKwJl/WAxdMfP9L7n6kux9VWPcO4FnAY8ALgE/k55Nnooc0H6wghmtmthq4gcyxR4Ef\nA+fJM9FP0vQsR2maGBDJ5h3PA65y9zXAVfnnxsR4M7kdeLO7rwWOAc7Ob8DUC8i/Ow14LnAi8P78\nJgrROQE6UR8NbHL3O9z9UeASYN3ENuuAD3vG1cB+ZrZqwXFPAF6fe3Ys8DJ5JvpKoMEKYri2HVgC\njiRLz54LvAZ5JnpIwp6B0jQxJQjf9gAAIABJREFUIBLOO64DLs7/vxg4pdqVTSd4YdLdt7n79fn/\nDwG3Aocw+wLWAZe4+yPu/i1gE9lNFKJzHGP70oq5C3CgmV1bWNYXDnEIcHfh85Z8HSW3ceCLZnbd\nxHEPdPcv5P9vBgx5JnpKAM8ggmvuvg3YL0/XHgK+CRyEPBM9JFXPcpSmicGQcN5xZZ6uAdwDrGx4\nqUDkAXjM7DDghcDXmH0BhwBXF3abdsPIb8Z6gBX7qym9aI8lFtYg3T/RjCAkL3H3rWb2dOBKM/sn\nd/+7iW1+EliBPBM9pmPPYIFrhfTsMRp6lh9PronWSd2zHKVpoveknnd0dzczD3GyaAPwmNm+wKeA\nc939B8Xv3N3JSs2lcfeL3P0odz9qxb77AN3MnViXPoW1a5rcq9D32aFM7dI8tgKrC58PzdeV2sbd\nl//eB3yGnTWv95rZqtyzy4BtsTwTIjYBPIO4rh1Blp69Hbhvl7DX8CzfT66JVumBZ0rTxCBIPe8I\nkP/dJT2rS5TCpJk9kSzh/ai7fzpfPesCytywqaQ8d+JkoSblsKZGk3tVdt/Shc4Fo3GVGJHrGmCN\nmR1uZnuS9fHYMLHNBuC1lnEM8H1332Zm+5jZUwDMbB/g5WTN7Jb3eR2ZZ3cDH83XB/dMiOg09wzi\nufZZ4HIyx55OltGVZ6J/pO2Z0jQxHNLOO56Z/38mWXrWmBijuRrwQeBWd3934atZF7ABOM3M9jKz\nw8lGJfp66HC1TdUCkd5cVqPp/Sr7+zhZU4V5y9z93bcD5wBXkPUfvtTdbzazs8xsORAbgTvI+nx8\nAHhDvn4l8FUz+0cyJz7n7p/PvzsfeCNZbdPe+WcYmWdiGDT1DOK4lqdnh5A59nrgeDLX5JnoHal6\nln+nNE0MhsTzjieY2e3sTM8aE6PP5LHAGcBNZnZDvu4PyQJ8qZn9NnAX2Yh45DfnUuAWspHzznb3\nHRHCFYTNp14Y5S3j0N9chr5vbd2vrKlCszoXd99IJn1x3YWF/x04e8p+dwA/O+OwPwM8A7gJOBD4\nWzMbjGdiXITwDKK4dixwKplnS2SuHYM8Ez0kYc9AaZoYEKnmHd39AeC4RgGbQvDCpLt/FWYWuade\ngLu/g2yOoeQZeqEvFn2+b2Uncm6ToXsmxoc8EyI+KXoGck0Mj1Rdi0HU0VyF6DuOsd2jjVMlhECe\nCdEG8kyIdhibaypMCjEPH1ftkhCdIM+EiI88E6IdRubaeIrNgdBAOeNiud37vEUI0Qx5JkR85JkQ\n7TA214Z1NS3Q575/KRCiMN5mgd4JMpS6EGIO8kyI+MgzIdphbK71sjD5/P2/03UQajP2N5shCuNt\nF+h3+BPmLkKI5sgzIeIjz4RohzG51ss+kzd99yAO7joQNdGbzX7hI2v3LkQXyDMh4iPPhGiHsbnW\ny8KkEG3iI3ogCNEV8kyI+MgzIdphTK6pMCnEXIwdA+soLUR6yDMh4iPPhGiHcbk2nisVgup9Vh1G\n1YlaiC6QZ0LER54J0Q5jc01vJsWoqNxn1WHHwKQXIjnkmRDxkWdCtMPIXOv9m8mxj44q4uJk7d7n\nLUKIZsgzIeIjz4Roh7G51vs3kxodVcTF2LE0LOmFSA95JkR85JkQ7TAu13r/ZnIafX5b2eewD5Wm\ntUtmdqKZ3WZmm8zsvCnfm5m9N//+RjN7Ub5+tZl9ycxuMbObzexNhX3ebmZbzeyGfDk56EUL0TIh\nanHlmhDzkWdCtMOY8o69fzM5jT6/rSwT9s2nXtjra+wT7jQakcvMVgDvA04AtgDXmNkGd7+lsNlJ\nwJp8eTFwQf53O/Bmd7/ezJ4CXGdmVxb2/TN3f2ftwAmRCE09A7kmxCLkmRDtMLa84yDfTA6dvhQk\nh/KW1X3+soCjgU3ufoe7PwpcAqyb2GYd8GHPuBrYz8xWufs2d78+C4M/BNwKHBL04oRIhIaegVwT\nYiHyTIh2GFPeUYVJEY2+FHoXUaKpwoFmdm1hWV/Y/RDg7sLnLewu9cJtzOww4IXA1wqr35g3bfiQ\nme3f6CKF6JiGnoFcE2Ih8kyIdhhT3nGQzVyFCIVTaj6g+939qFhhMLN9gU8B57r7D/LVFwB/TDZo\n2B8D7wJ+K1YYhIhJCp6BXBPDRp4J0Q4puNamZ3ozKQZPo+a23rgT9VZgdeHzofm6UtuY2RPJHgYf\ndfdPPx4s93vdfYe7LwEfIGsSIUQ/ae4ZyDUh5iPPhGiHkeUdVZgUg6dpc1tfsrnLAq4B1pjZ4Wa2\nJ3AasGFimw3Aa/ORuY4Bvu/u28zMgA8Ct7r7u4s7mNmqwsdXA99sco1CdE1Dz0CuCbEQeSZEO4wp\n76hmrkIsoOSgBDP29e1mdg5wBbAC+JC732xmZ+XfXwhsBE4GNgE/Al6X734scAZwk5ndkK/7Q3ff\nCPypmR1J1lThTuB36odSiO5p4lm2v1wTYhHyTIh2GFPeUYVJEYShTlfiDt5wKPVc4I0T6y4s/O/A\n2VP2+yowtfrK3c9oFCghEiKEZ9lx5JoQs5BnQrTD2PKOUZq5mtkKM/uGmX02/3yAmV1pZrfnf/cv\nbPtWyybcvM3MXhEjPEMktWk3hliQXCbAUOrRkGtiKMgzIeIjz4Roh5RdC02sPpNvIpvXZJnzgKvc\nfQ1wVf4ZM1tL1g74ucCJwPstm6hz1JQpKA658JYW89u8l+xjEhO5JgaAPBMiPvJMiHZI3rWgBC9M\nmtmhwC8Df1FYvQ64OP//YuCUwvpL3P0Rd/8WWbvf0Y/gpYLiTpJ4A+sLlo6Qa2JQyDMh4iPPhGiH\nRF2LQYw3k+8B/gBYKqxb6e7b8v/vAVbm/5eZlFOMmM4L1mGGUo+FXBPDQJ4JER95JkQ7pO1acIIW\nJs3slcB97n7drG3yDqOVy+Rmtt7MrjWza3f88OHdvk/iDZZoRLK/odv8pQNiubbIMyGiMSLP8mPL\nNdE+8kyIdkjQtViEHs31WOBVZnYysDfwVDP7CHCvma3K5z9ZBdyXb19mUk4A3P0i4CKAvZ65ercH\nSudvsERjkv0N02yOEMW1RZ4JEY00Y1tnaZoQUUgzpskzMTxGFNuCvpl097e6+6HufhhZ5+i/dfff\nIJtY88x8szOBy/L/NwCnmdleZnY4sAb4esgwpU6yb+NEhgNLNn/pIlhyTQwJeSZEfOSZEO2QqGux\naGueyfOBS83st4G7gNcA5BNwXgrcAmwHznb3HS2FKQmSfRsXiT7OR9mzIZzlmugl8kyI+MgzIdqh\nZ641Ilph0t2/DHw5//8B4LgZ270DeEescIi0aKsgGbTQmngNklwTg0CeCREfeSZEOyTuWkhizTPZ\nOWo+Om5CFlrN5y9CiObIMyHiI8+EaIcxudZWM9fW6VtTSpEoPry27UIkhzwTIj7yTIh2GJlrgy1M\nChGMgdUgCZEk8kyI+MgzIdphRK6pMCnEIkb0QBCiM+SZEPGRZ0K0w4hcG2yfyTGj/qIBCTC8s5md\naGa3mdkmMztvyvdmZu/Nv7/RzF60aF8zO8DMrjSz2/O/+4e6ZCFaJ9Aw6nJNiDnIMyHaYWR5x8EU\nJlWA2on6i4alSSdqM1sBvA84CVgLnG5mayc2O4lsnqw1wHrgghL7ngdc5e5rgKvyz0L0lqaDFcg1\nIRYjz4RohzHlHQdTmFQBqn9UrQDorMLAFyzzORr+//buPeiOur7j+PvTcPGCI1iYEC6aqJFOcFqs\nKdpaUQvUQDsGWoXQqY3IDDIDtjh1aijO6IzDNFqtvXhJo2DjVIUIKhkbQaCttVMvBM2ACaZJuDSJ\nIQheUFRikm//2N8TNg/nOZfnnN/unrOf18xOzu7ZPft9zpPPc/a3+/vtYVtE3BcRe4HrgaXT1lkK\nfDIKXweOljSvx7ZLgTXp8RrgvNn/gGYNMFzOwFkz6805M6tGi44dJ6YxaeNn0BMAdZ0w6OPs0rGS\nNpSmS0ubnwjsKM3vTMvoY51u286NiN3p8UPA3GF+RrO6DZkzcNbMenLOzKrRpmNH34BnzG2/cJWv\nyuY01e+9u0ciYnEF1XQUESFN2rcWWauMQc7AWbMx55yZVWMMsjbKnLkxOebckKzAcFHbBZxcmj8p\nLetnncO7bLtH0ryI2J26NTw8VJVmdRv+I81ZM+vFOTOrRouOHd3N1awHHeg+9XAnsFDSAklHAMuA\nddPWWQf8Wboz18uBH6duCN22XQcsT4+XAzcP/YOa1WjInIGzZtaTc2ZWjTYdO/rKpFkvQ5xdioh9\nkq4AbgXmANdFxCZJl6XnVwHrgXOBbcDPgIu7bZteeiWwVtIlwIPABbOv0qwBhrxi4qyZ9cE5M6tG\ni44d3Zg066Lf26V3ExHrKUJfXraq9DiAy/vdNi1/FDhzuMrMmmEUOQNnzawb58ysGm07dnRj0qyX\nPr/I2cyG4JyZ5eecmVWjRVlzY9KsB99Tziw/58wsP+fMrBptypobk2bdRN83JTCz2XLOzPJzzsyq\n0bKsuTFp1kuLzi6Z1cY5M8vPOTOrRouy5sakWQ9tOrtkVhfnzCw/58ysGm3Kmr9n0sbO9gtX9V7J\nzMzMzMyy8pVJGzsvuOGy6nbWsn7vZrVwzszyc87MqtGyrLkxadZLi/q9m9XGOTPLzzkzq0aLsubG\npFkvLfqDYFYb58wsP+fMrBotylqWMZOSjpZ0o6TvSrpX0m9Leo6k2yRtTf8eU1r/KknbJG2R9Noc\nNVm1JmVcoyi6KnSbaqvNObMJ4ZyZ5dfknIGzZpOj6VkbtVw34PkH4JaI+DXgN4B7gRXAHRGxELgj\nzSNpEbAMOBVYAnxE0pxMdVlFKh3XmFMUXzzbbaqRc2aTwTkzy6/ZOQNnzSZF87M2UiNvTEp6NnAG\ncC1AROyNiB8BS4E1abU1wHnp8VLg+oh4IiLuB7YBp4+6LrNZO9BjqoFzZhPHOTPLr4E5A2fNJlBD\ns5ZDjiuTC4DvA5+Q9G1JH5f0TGBuROxO6zwEzE2PTwR2lLbfmZYdQtKlkjZI2rD/p49nKNuss4ae\nXXLObKK0KWfgrFk9Gpoz8GeaTZgGZ23kcjQmDwN+E/hoRLwEeJzULWFKRAQDDk2NiNURsTgiFs85\n6pkjK9aar9bxl0HWs0vdxoNMW29JGheyTdIKnszZYcDTKc7W3kXRVR9J84GfAUdJ2gi8up96nDOr\nRctyBs6a1aC5OYMiY4spMjQn/fuutP58ST8Hvk2Rtb4PCpwzq0Wzs4akv01jk++W9HlJR6fl8yX9\nXNLGNPWVtRyNyZ3Azoj4Rpq/keLDeI+keanYecDD6fldwMml7U9Ky8yA+sdfZj671HE8yCH7L8aB\nfBg4B1gEXAQ8gyJrnwReDJwPHA7sm8oZ8CCwPSJOAz6Fc2YN5pyZ5dfEnKXxjzspjgtfGBG/DnwD\n+GNgD3AcsD1tsz0iLsPHjtZwDc4awG3Ai1PW/he4qrTp9og4LU19HYCPvDEZEQ8BOySdkhadCWwG\n1gHL07LlwM3p8TpgmaQjJS0AFgLfHHVdZrOV+Y5cM40HKTsd2BYR90XEXuB64BUUXXwejIh9FDm7\nh+KDdypnR+Oc2Zhwzszya2jOlqZjx63AC9J6c4AnKDL1+rTMx442NpqaNYCI+HL6TAP4OsXJmFnL\n9T2TbwU+JekI4D7gYoqG61pJl1Ccyb0AICI2SVpL0eDcB1weEfsz1WU2uN5nkI6VtKE0vzoiVvf5\n6jONBynrNDbkZTw1Z08D/hF4A/AWirO550h6GfBOwDmz5nLOzPJrbs7g0KwdR9HN9SaKhuMi4Grg\nbkmvjIiv+tjRGq3ZWSt7M3BDaX5BGrbxY+CdEfHVXsVkaUxGxEaKvu/TnTnD+tcA1+Soxaq1/cJV\ntXdLHan+Rvc+EhGd/r8DIOl24PgOT119yK4iQuq/80M5Z5KuTo//OSJWSToSOCoiHpX0UuALwKkp\na2bN4pyZ5dfgnKVtNgKLSzn7WHqd32NaziSd6mNHa6yGZ620j6spTsZ8Ki3aDTy3Q9Ye6/Y6ua5M\ntloTGlR11dBpn014P2ZLDN+3PSLOmvH1pT2S5kXE7mljicu6jg2R9CbgD4Ez082tiIgnKLoIERF3\nSdoOvAgonwUzawTnzCw/58ysGm3LWo4b8LReExpOTahhSpNqmY3Mg6hnGktcdiewUNKC1P1nWdoO\nSUuAvwJeFxE/O1izdFwafI2k51OMJ7lv6GrNMnHOzPJzzsyq0aasuTE5S7V+XYVVK+8Xz64Ezpa0\nFTgrzSPpBEnrAdIg6SuAW4F7gbURsSlt/yHgWcBt027jfAbF2JKNFHdUviwifjB0tWa5OGdm+Tln\nZtVoUdbczXWWxv1qm/Up85fLRsSjdBhLHBHfA84tza8H1ndY74UzvO5NFDcuMGs+58wsP+fMrBot\ny5qvTFol6rySO+y+M9/e2cxwzsyq4JyZVaNNWfOVSatEnVdyh953xrNLZpY4Z2b5OWdm1WhR1nxl\n0sZe1que0a6zS2a1cM7M8nPOzKrRsqy5MTnBejWyJuUmQtmvekaPycyG55yZ5eecmVWjRVlzN9cJ\n1quR5ZsI9TaK7woys+6cM7P8nDOzarQta74yOYHKVxwn5epjnXQguk5mNjznzCw/58ysGm3K2kQ1\nJt1wKpSvOPrq45B6dVOYrL8HZvVwzszyc87MqtGyrE1UN1c3nCyHSRsobdZEzplZfs6ZWTXalLWJ\nakya5dCmfu9mdXHOzPJzzsyq0aasuTFp1k206+ySWS2cM7P8nDOzarQsaxM1ZtKeyuNIR6BF/d7N\nauOcmeXnnJlVo0VZ85XJCedxpMMRTNxdt8yaxjkzy885M6tG27I2tlcmfcWtMPU++P3IR9F9MrPh\nOWdm+TlnZtVoU9bGtjE5iVfcZtMgnHofJvH9aITMt3eW9BxJt0namv49Zob1lkjaImmbpBWl5e+W\ntEvSxjSdW3ruqrT+FkmvHa5Ss4ycM7P8nDOzarQsa2PbmOxmXK/SuUHYTNrffRrSCuCOiFgI3JHm\nD92/NAf4MHAOsAi4SNKi0iofjIjT0rQ+bbMIWAacCiwBPpJex6yRnDOz/Jwzs2q0KWsT2Zh0o8xG\nKXNXhaXAmvR4DXBeh3VOB7ZFxH0RsRe4Pm3X63Wvj4gnIuJ+YFt6HbNGcs7M8nPOzKrRpqxNZGPS\nbGSiGETdbQKOlbShNF06wB7mRsTu9PghYG6HdU4EdpTmd6ZlU94q6W5J15W6OvTaxqw5nDOz/Jwz\ns2q0LGtZ7uYq6SrgjcAB4B7gYuAZwA3AfOAB4IKI+GFp/UuA/cCfR8StOeoad9svXDXRV10b+/P1\nPoP0SEQsnulJSbcDx3d46upDdhMRUv/nq1JuLgJ+AmwCHgb+SdJc4LeAV0n6t6mcAedLWolzZk3k\nnJnl19CcJYcDj1Nc6HgZ8PeS3ga8Dni9pOXABaVafOxozdXsrH0UeE+q8j3AB4A3D/gaB428MSlp\nPnApsCgifi5pLUX/20UU/XtXpkGgK4B3TOufewJwu6QXRcTwPYonTCMbWiPUxJ9PcfAM0qxFxFkz\nvr60R9K8iNgtaR7Fgep0u4CTS/MnUXzgTs/ZIxQfrB8A/h14FSlnwCkUZ66cM2sc58wsvwbnbFc6\ndvwTnszaF4EzKbK1GfgKxYHvirTN4fjY0RqqyVlLr72n9FofA77Ya5tucnRzfQz4JfB0SYdRXJH8\nHjP373VfeGu0zP3e1wHL0+PlwM0d1rkTWChpgaQjKD5Av0CRs/mlnL0QOJIiX+so/iCcL2kBxcmc\nTzhn1lTOmVl+Dc3ZOopjxwM8eey4gCI/S4G/Set9BngDsDA972NHa6wGZ43UAJ1yPvCd0usuk3Rk\n+kxbCHyzVzEjb0xGxA+A9wP/B+wGfhwRX2bm/r199c+VdOlUv+L9P3181GWbzUgHuk9DWgmcLWkr\ncFaaR9IJktYDRMQ+4ArgVuBeYG1EfI0iZ3cDvwBeQXF2NiJid0RsAj4NvAC4BfhvikxOcc6sUdqU\ns7RvZ80q19CcbUrHjt9P0y+AZ1N0L58bEV8B1lL0BHgecDlFDn3saI3V1Kyl7d8n6R5JdwOvAd6W\nttlEkbXNFJ9pl/dztT9HN9cXpKIWAD8CPivpT8vrzKZ/b0SsBlYDHPnck4dv05v1I4Ahuyp0ffmI\nRym68kxf/j3g3NL8emD91HwpZyeQcgbcCJxR2uYaSW+PiFMkfajPepwzq17Lcpa2c9asWg3NGRzM\n2rMpxohNZe3M0jbXANdI+mFEfEnSH/RZk3Nm1Wtw1tLyN3Z57WuAawapJ0c318XA/0TE9yPil8Dn\ngN8B9kxdVp3Wv3dW/XPNKpPxi2eH4JzZZHHOzPJrZs7AWbNJ09ysjVyOxuQW4OWSniFJFC3ne5m5\nf++s+ueaVaWP2zvXwTmzieKcmeXX0JyBs2YTpsFZG7mRd3ONiI2SPglsoBhM/W2KLgZHAWslXQI8\nSLq9c0RsSnfI2wzso8/+uTb5mvJVISMYKD1yzplNGufMLL8m5gycNZs8Tc1aDlm+ZzIi3gu8d9ri\nJ+jQvzetP3D/XJt8TWlINvUMknNmk8I5M8uvyTkDZ80mR9OzNmpZGpNmE2X4u26ZWS/OmVl+zplZ\nNVqUNTcmzbpp2dkls1o4Z2b5OWdm1WhZ1tyYNOsqINrzB8GsHs6ZWX7OmVk12pW1HHdzNeto+4Wr\n6i5hVtp0Ry6zujhnZvk5Z2bVaFPW3Ji0vg3bGGzCDXUGFqAD3SczG5JzZpafc2ZWjZZlzY1J61s/\njcFxvfrYVUT3ycyG55yZ5eecmVWjRVnzmEkbqbG8+tjDpHVHMGsi58wsP+fMrBptypobk2a9TNgZ\nJLNGcs7M8nPOzKrRoqy5m+sITWQXz5ZTBNrffTKz4ThnZvk5Z2bVaFvW3JgcoUns4mlk7fcu6TmS\nbpO0Nf17zAzrLZG0RdI2SStKy2+QtDFND0jamJbPl/Tz0nM+02HN5pyZ5eecmVWjRVlzN1ezbgLI\newZpBXBHRKxMQV8BvKO8gqQ5wIeBs4GdwJ2S1kXE5oi4sLTeB4AflzbdHhGn5SzebCScM7P8nDOz\narQsa74yOY27qtp0iug6DWkpsCY9XgOc12Gd04FtEXFfROwFrk/bPVmjJOAC4DPDFmRWB+fMLD/n\nzKwabcqaG5PTuKuqHSrgwIHu03DmRsTu9PghYG6HdU4EdpTmd6ZlZa8E9kTE1tKyBambwlckvXLY\nQs3ycc7M8nPOzKrRrqy5m6tVZvuFq8avsR7007f9WEkbSvOrI2L11Iyk24HjO2x39SG7ighJsz1d\ndRGHnlnaDTw3Ih6V9FLgC5JOjYjHZvn6Zvk4Z2b5OWdm1WhZ1tyY7MMwjaCxbEBlMrbvQ+8TSI9E\nxOKZnoyIs2Z6TtIeSfMiYrekecDDHVbbBZxcmj8pLZt6jcOAPwJeWtrnE8AT6fFdkrYDLwLKf7jM\nmsM5M8vPOTOrRouy5m6ufRimETS2DSg7SAcOdJ2GtA5Ynh4vB27usM6dwEJJCyQdASxL2005C/hu\nROw8WLN0XBp8jaTnAwuB+4Yt1iwX58wsP+fMrBptypobk2bdBHAguk/DWQmcLWkrRbBXAkg6QdJ6\ngIjYB1wB3ArcC6yNiE2l11jGUwdPnwHcnW73fCNwWUT8YNhizbJwzszyc87MqtGyrLmbq1lXMYqB\n0jO/esSjwJkdln8POLc0vx5YP8NrvKnDspuAm0ZWqFlWzplZfs6ZWTXalTU3Js16Gf4WzmbWi3Nm\nlp9zZlaNFmVtLBuTe3fs/OkDV759S911dHAs8EjdRXTgujp7Xs81ImD//gpKaZ69O3Y+8sCVb3+c\n5v3fqfv/zUxcV2fOWQ/+TBuY63oq56wH52xgrqszZ22asWxMAlu63QGpLpI2uK7+NbWup2jR2aWy\niDiuib+jJtYErmtoLc1Z4s+0AbiuIThnjfv9NPX/jesaUouyNq6NSbNqBLA/X793M8M5M6uCc2ZW\njZZlzY1Js15adHbJrDbOmVl+zplZNVqUtXFtTK6uu4AZuK7BNLWukmjVH4QOmvg7amJN4LqG4JzV\nXcAMXNdgmlpX4pzVXcAMXNdgmlpXSbuyNpaNyYho5H8k1zWYptZ1iKBVg6ina+LvqIk1gesainPW\nyN+R6xpMU+s6yDlr5O/HdQ2mqXUdomVZG8vGpFmlWnR2yaw2zplZfs6ZWTValDU3Js26iSBadHbJ\nrBbOmVl+zplZNVqWtV+pu4BBSVoiaYukbZJWVLjfkyX9h6TNkjZJ+ou0/N2SdknamKZzS9tclerc\nIum1GWt7QNI9af8b0rLnSLpN0tb07zFV1iXplNJ7slHSY5KubML7NbAD0X2aQHXlLO3bWRuspsnI\nmnPmnD25H+cslxbmDHzsOENtzllOLcraWF2ZlDQH+DBwNrATuFPSuojYXMHu9wF/GRHfkvQs4C5J\nt6XnPhgR759W6yJgGXAqcAJwu6QXRUSuUxWviYjyl7iuAO6IiJXpD+cK4B1V1RURW4DT4ODvbRfw\neeBimvF+9adlXzwLtecMnLWBTETWnDPn7Kmcs1FrYc6g9qw5ZwOYiJxB67I2blcmTwe2RcR9EbEX\nuB5YWsWOI2J3RHwrPf4JcC9wYpdNlgLXR8QTEXE/sI2i/qosBdakx2uA82qs60xge0Q82GWdut+v\nmUV0nyZPbTkDZ21I45s158w56845G4X25Qx87DgI52xUWpS1cWtMngjsKM3vpHsos5A0H3gJ8I20\n6K2S7pZ0XalLQJW1BsXZmLskXZqWzY2I3enxQ8DcGuqasgz4TGm+7vdrAEW/927TBGrM78JZG9iY\nZs05wzkrc86yaGXOoCG/C+dsYGOaM2hb1satMVk7SUcBNwFXRsRjwEeB51Nclt8NfKCGsn43Ik4D\nzgEul3RG+cmICIo/GpWTdATwOuCzaVET3q/+Ba3q994kztpgxjprzlltnLPBOGc2G87ZYMY6Z9C6\nrI1bY3IXcHJp/qS0rBLcoL7GAAADBUlEQVSSDqf4Y/CpiPgcQETsiYj9EXEA+BhPXl6vrNaI2JX+\nfZiib/npwB5J81Ld84CHq64rOQf4VkTsSTXW/n4NLA50n4bQbbD7tPWuk/SwpO/0u/0Qg9Jr/104\na7My3llzzpyzxDnLqH05Ax87duScZdairI1bY/JOYKGkBemsxTJgX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"text/plain": [ "<matplotlib.figure.Figure at 0x2b266b6a4710>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"******************LOWER HEMISPHERE******************\\n\")\n", "\n", "patternStatsLH = patternClassifierLH.getPatternStats()\n", "fig = plt.figure(figsize=(15,15))\n", "ax = fig.add_subplot(4,4,1)\n", "sfields = [\"singles\", \"first singles\", \"clusters\"]\n", "mfields = [\"doubles\", \"triples\", \"quads\"]\n", "relativeOccurances = []\n", "labels = []\n", "for i, f in enumerate(sfields):\n", " relativeOccurances.append(patternStatsLH[f])\n", " labels.append(f)\n", "for i, f in enumerate(mfields):\n", " for k in range(len(patternStatsLH[f])):\n", " relativeOccurances.append(patternStatsLH[f][k])\n", " labels.append(f+\"(\"+str(k)+\")\")\n", "relativeOccurances = np.array(relativeOccurances, np.float)\n", "relativeOccurances/=np.sum(relativeOccurances)\n", "pie = ax.pie(relativeOccurances, labels=labels, autopct='%1.1f%%', shadow=True)\n", "ax.set_title(\"Pattern occurrence\")\n", "# Set aspect ratio to be equal so that pie is drawn as a circle.\n", "a = ax.axis('equal')\n", "\n", "smaps = [\"singlemap\", \"firstsinglemap\", \"clustermap\"]\n", "for i, m in enumerate(smaps):\n", "\n", " ax = fig.add_subplot(4,4,2+i)\n", "\n", " pmap = ax.imshow(patternStatsLH[m], interpolation=\"nearest\", vmax=2*np.nanmedian(patternStatsLH[m]))\n", " ax.set_title(m)\n", " cb = fig.colorbar(pmap)\n", "\n", "mmaps = [\"doublemap\", \"triplemap\", \"quadmap\"]\n", "k = 0\n", "for i, m in enumerate(mmaps):\n", "\n", " for j in range(4):\n", " ax = fig.add_subplot(4,4,2+len(smaps)+k)\n", " pmap = ax.imshow(patternStatsLH[m][j], interpolation=\"nearest\", vmax=2*np.median(patternStatsLH[m][j]))\n", " ax.set_title(m+\"(\"+str(j)+\")\")\n", " cb = fig.colorbar(pmap)\n", " k+=1" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "******************UPPER HEMISPHERE******************\n", "\n" ] }, { "data": { "image/png": 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5/c1r2jciTBeEyqY0qWqaeqHhSL59uNAJFuqetlywslazhHHeNee9LPvI7H3Z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iZ2T1zHfP7D35f05+sjJZ+W+5odySbad8KVAvtvTrRtGsoNTQVoVjI5Hj9957jPp9eW0POn6Q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\nh1X11Npyeb0JEfmYiHyuZdlvhEhVU7596Fz2H1naDTy7CmH418B7ReRbItt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zTCxVawCq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Jsp6WBoZ3VJ5I8d50wyAp3V9Xb36W/i6EvPaeRro67RpQm5TkXpMw8J9owmVnacRGWySuyl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\nJOfMrB3Omll+PcqZj0xaEeYubFTcEcoJXN5Z0hpJuyTtk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"text/plain": [ "<matplotlib.figure.Figure at 0x2b2676024be0>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "patternStatsUH = patternClassifierUH.getPatternStats()\n", "fig = plt.figure(figsize=(15,15))\n", "ax = fig.add_subplot(4,4,1)\n", "sfields = [\"singles\", \"first singles\", \"clusters\"]\n", "mfields = [\"doubles\", \"triples\", \"quads\"]\n", "relativeOccurances = []\n", "labels = []\n", "for i, f in enumerate(sfields):\n", " relativeOccurances.append(patternStatsUH[f])\n", " labels.append(f)\n", "for i, f in enumerate(mfields):\n", " for k in range(len(patternStatsUH[f])):\n", " relativeOccurances.append(patternStatsUH[f][k])\n", " labels.append(f+\"(\"+str(k)+\")\")\n", "relativeOccurances = np.array(relativeOccurances, np.float)\n", "relativeOccurances/=np.sum(relativeOccurances)\n", "pie = ax.pie(relativeOccurances, labels=labels, autopct='%1.1f%%', shadow=True)\n", "ax.set_title(\"Pattern occurrence\")\n", "# Set aspect ratio to be equal so that pie is drawn as a circle.\n", "a = ax.axis('equal')\n", "\n", "smaps = [\"singlemap\", \"firstsinglemap\", \"clustermap\"]\n", "for i, m in enumerate(smaps):\n", "\n", " ax = fig.add_subplot(4,4,2+i)\n", "\n", " pmap = ax.imshow(patternStatsUH[m], interpolation=\"nearest\", vmax=2*np.nanmedian(patternStatsUH[m]))\n", " ax.set_title(m)\n", " cb = fig.colorbar(pmap)\n", "\n", "mmaps = [\"doublemap\", \"triplemap\", \"quadmap\"]\n", "k = 0\n", "for i, m in enumerate(mmaps):\n", "\n", " for j in range(4):\n", " ax = fig.add_subplot(4,4,2+len(smaps)+k)\n", " pmap = ax.imshow(patternStatsUH[m][j], interpolation=\"nearest\", vmax=np.median(patternStatsUH[m][j]))\n", " ax.set_title(m+\"(\"+str(j)+\")\")\n", " cb = fig.colorbar(pmap)\n", " k+=1\n", " \n", "print(\"******************UPPER HEMISPHERE******************\\n\") " ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "+------------+---------+---------------+----------+\n", "| Hemisphere | Singles | First-singles | Clusters |\n", "+------------+---------+---------------+----------+\n", "| LH | 1229804 | 0 | 16008172 |\n", "| UH | 1261412 | 0 | 15908592 |\n", "+------------+---------+---------------+----------+\n", "+-------+--------+--------+-------+-------+------+-------+\n", "| Index | D-LH | D-UH | T-LH | T-UH | Q-LH | Q-UH |\n", "+-------+--------+--------+-------+-------+------+-------+\n", "| 0 | 147752 | 183934 | 32992 | 36530 | 7590 | 16132 |\n", "| 1 | 9408 | 11946 | 33458 | 35070 | 42 | 162 |\n", "| 2 | 150984 | 137852 | 34628 | 34236 | 186 | 22 |\n", "| 3 | 5586 | 12548 | 34288 | 32756 | 152 | 36 |\n", "+-------+--------+--------+-------+-------+------+-------+\n" ] } ], "source": [ "t0 = PrettyTable()\n", "t0.title = \"Total number of Counts after all corrections\"\n", "t0.field_names = [\"Hemisphere\",\"Singles\", \"First-singles\", \"Clusters\"]\n", "t0.add_row([\"LH\", patternStatsLH['singles'], patternStatsLH['first singles'], patternStatsLH['clusters']])\n", "t0.add_row([\"UH\", patternStatsUH['singles'], patternStatsUH['first singles'], patternStatsUH['clusters']])\n", "\n", "print(t0)\n", "\n", "t1 = PrettyTable()\n", "\n", "t1.field_names = [\"Index\",\"D-LH\", \"D-UH\", \"T-LH\", \"T-UH\", \"Q-LH\", \"Q-UH\"]\n", "\n", "t1.add_row([0, patternStatsLH['doubles'][0], patternStatsUH['doubles'][0], patternStatsLH['triples'][0], patternStatsUH['triples'][0], patternStatsLH['quads'][0], patternStatsUH['quads'][0]])\n", "t1.add_row([1, patternStatsLH['doubles'][1], patternStatsUH['doubles'][1], patternStatsLH['triples'][1], patternStatsUH['triples'][1], patternStatsLH['quads'][1], patternStatsUH['quads'][1]])\n", "t1.add_row([2, patternStatsLH['doubles'][2], patternStatsUH['doubles'][2], patternStatsLH['triples'][2], patternStatsUH['triples'][2], patternStatsLH['quads'][2], patternStatsUH['quads'][2]])\n", "t1.add_row([3, patternStatsLH['doubles'][3], patternStatsUH['doubles'][3], patternStatsLH['triples'][3], patternStatsUH['triples'][3], patternStatsLH['quads'][3], patternStatsUH['quads'][3]])\n", "\n", "print(t1)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": true }, "outputs": [], "source": [ "doublesLH = patternStatsLH['doubles'][0] + patternStatsLH['doubles'][1] + patternStatsLH['doubles'][2] + patternStatsLH['doubles'][3]\n", "triplesLH = patternStatsLH['triples'][0] + patternStatsLH['triples'][1] + patternStatsLH['triples'][2] + patternStatsLH['triples'][3]\n", "quadsLH = patternStatsLH['quads'][0] + patternStatsLH['quads'][1] + patternStatsLH['quads'][2] + patternStatsLH['quads'][3]\n", "allsinglesLH = patternStatsLH['singles'] + patternStatsLH['first singles']\n", "eventsLH = allsinglesLH + doublesLH + triplesLH + quadsLH\n", "\n", "doublesUH = patternStatsUH['doubles'][0] + patternStatsUH['doubles'][1] + patternStatsUH['doubles'][2] + patternStatsUH['doubles'][3]\n", "triplesUH = patternStatsUH['triples'][0] + patternStatsUH['triples'][1] + patternStatsUH['triples'][2] + patternStatsUH['triples'][3]\n", "quadsUH = patternStatsUH['quads'][0] + patternStatsUH['quads'][1] + patternStatsUH['quads'][2] + patternStatsUH['quads'][3]\n", "allsinglesUH = patternStatsUH['singles'] + patternStatsUH['first singles']\n", "eventsUH = allsinglesUH + doublesUH + triplesUH + quadsUH\n", "\n", "reloccurLH = np.array([allsinglesLH/eventsLH, doublesLH/eventsLH, triplesLH/eventsLH, quadsLH/eventsLH])\n", "reloccurUH = np.array([allsinglesUH/eventsUH, doublesUH/eventsUH, triplesUH/eventsUH, quadsUH/eventsUH])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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H2x3IRO3eSxxe8zR9q+5m5ntasVz7XpA9MdiDo6iceN9mhl77J3WX3LTL+z0P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\nWS7rqImuoad8XKWVBQGkTeIVUXi4uZ/X+XrUurJmta68RevhwBiIiWI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"text/plain": [ "<matplotlib.figure.Figure at 0x2b266b604080>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10,5))\n", "ax = fig.add_subplot(1,2,1)\n", "labels = ['singles', 'doubles', 'triples', 'quads']\n", "pie = ax.pie(reloccurLH, labels=labels, autopct='%1.1f%%', shadow=True)\n", "ax.set_title(\"Pattern occurrence LH\")\n", "# Set aspect ratio to be equal so that pie is drawn as a circle.\n", "a = ax.axis('equal')\n", "ax = fig.add_subplot(1,2,2)\n", "pie = ax.pie(reloccurUH, labels=labels, autopct='%1.1f%%', shadow=True)\n", "ax.set_title(\"Pattern occurrence UH\")\n", "# Set aspect ratio to be equal so that pie is drawn as a circle.\n", "a = ax.axis('equal')" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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Fca4Gk1ivaxtAdGggx9PynB2KoijXuAaTWPU6QfsmXs4OQ1EUpeEkVkVRlLpCJVZFUZRa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\nbHTdsINpv6HYTdOjptbg6nF9GVzW8quG9isv5vT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"text/plain": [ "<matplotlib.figure.Figure at 0x2b266b792828>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ho,eo,c,so = histCalOffsetCor.get()\n", "h1,e1L,c1L,s1L = histCalCTICor.get()\n", "\n", "\n", "d = [{'x': co,\n", " 'y': ho,\n", " 'y_err': np.sqrt(ho[:]),\n", " 'drawstyle': 'steps-mid',\n", " 'errorstyle': 'bars',\n", " 'errorcoarsing': 2,\n", " 'label': 'Offset corr.'\n", " },\n", " {'x': c,\n", " 'y': h1,\n", " 'y_err': np.sqrt(h1[:]),\n", " 'drawstyle': 'steps-mid',\n", " 'errorstyle': 'bars',\n", " 'errorcoarsing': 2,\n", " 'label': 'Rel. gain/CTI corr.'}, \n", " ]\n", " \n", "\n", "fig = xana.simplePlot(d, aspect=1, x_label='Energy(ADU)', \n", " y_label='Number of occurrences', figsize='1col',\n", " y_log=True, x_range=(0,400),\n", " legend='top-center-frame-1col')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.4.3" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false } }, "nbformat": 4, "nbformat_minor": 1 }