Created
August 14, 2016 23:21
-
-
Save mhogg/08a5c40722d283dfd2c7b54fb6ed5b58 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Implant retrieval wear calculations\n", | |
| "\n", | |
| "---" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "**Code to calculate the wear on a spherical surface of a retrieved implant i.e. femoral head or acetabular cup**\n", | |
| "\n", | |
| "**Method:**\n", | |
| "\n", | |
| "1. Performs a weighted non-linear least squares fit of the points on the surface. An algorithm is used to remove \"worn\" points and outliers (i.e. due to material deposition), so that this fit is based on the unworn sections of the surface only. The linear wear depth is the resulting least squares error\n", | |
| "\n", | |
| "2. Generates a surface from the points provided. This is done by first \"unwrapping\" the surface of the sphere and then performing a 2D Delaunay triangulation of the unwrapped points (using a python interface to Triangle). For volumetric wear calculations, a 3D tetrahedral mesh is also created (using tetGen via MeshPy).\n", | |
| "\n", | |
| "3. Writes out a VTK file that can be viewed using Paraview to visualise the linear wear depths\n", | |
| "\n", | |
| "4. Estimates the volumetric wear\n", | |
| "\n", | |
| "**Inputs:** File containing (unstructured) points on surface\n", | |
| "\n", | |
| "**Outputs:** \n", | |
| "\n", | |
| "1. VTK file containing a triangulated surface with scalar field representing the linear wear depth\n", | |
| "\n", | |
| "2. Estimation of the volumetric wear\n", | |
| "\n", | |
| "**Dependencies**\n", | |
| "\n", | |
| "1. MeshPy - Binary file downloaded from http://www.lfd.uci.edu/~gohlke/pythonlibs/\n", | |
| "\n", | |
| "2. triangle (python version of Triangle) - Binary file downloaded from http://www.lfd.uci.edu/~gohlke/pythonlibs/\n", | |
| "\n", | |
| "3. vtk - Installed from conda (but also available from http://www.lfd.uci.edu/~gohlke/pythonlibs/)\n", | |
| "\n", | |
| "**References:**\n", | |
| "\n", | |
| "1. David Manthey, *General Least-Squares – Direct Solutions and Bundle Adjustments*, http://www.orbitals.com/self/least/least.htm\n", | |
| "\n", | |
| "2. Shakarji, Craig M. *Least-squares fitting algorithms of the NIST algorithm testing system*, JOURNAL OF RESEARCH-NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY 103 (1998): 633-641, http://www.mel.nist.gov/msidlibrary/doc/36sha.pdf.\n", | |
| "\n", | |
| "3. Triangle: http://www.cs.cmu.edu/~quake/triangle.html\n", | |
| "\n", | |
| "4. Python triangle: http://dzhelil.info/triangle/\n", | |
| "\n", | |
| "5. tetGen: http://wias-berlin.de/software/tetgen/\n", | |
| "\n", | |
| "6. MeshPy: http://mathema.tician.de/software/meshpy/" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import warnings\n", | |
| "warnings.filterwarnings('ignore')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Imports\n", | |
| "%matplotlib inline\n", | |
| "from matplotlib import *\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "from numpy import *\n", | |
| "import os, vtk \n", | |
| "from IPython.html.widgets import interact" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Read data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Read in file containing points on bearing surface" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Set source of data - Each of which has a different file format\n", | |
| "useSource = 1\n", | |
| "# Settings\n", | |
| "settings = {} \n", | |
| "settings['surfaceType'] = None\n", | |
| "settings['lowerPercentile'] = None\n", | |
| "settings['upperPercentile'] = None" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Number of points = 1920\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "if useSource == 0:\n", | |
| " \n", | |
| " # Source: Shape Grabber\n", | |
| " \n", | |
| " # Date parameters\n", | |
| " file1Name = r'C:\\Users\\michaelh3\\Documents\\GitHub\\retrieval_wear\\sphere\\Test samples - ShapeGrabber\\cup\\625-OT-36G Size G-2500.dat'\n", | |
| " zflip = True\n", | |
| " # Surface fit parameters\n", | |
| " settings['surfaceType'] = \"CUP\"\n", | |
| " settings['lowerPercentile'] = 1.0\n", | |
| " settings['upperPercentile'] = 99.0\n", | |
| " \n", | |
| " file1 = open(file1Name,'r')\n", | |
| " all_lines = file1.readlines()\n", | |
| " num_lines = len(all_lines)\n", | |
| " file1.close() \n", | |
| " points = []\n", | |
| " for line_num in range(num_lines):\n", | |
| " line = all_lines[line_num]\n", | |
| " try:\n", | |
| " xm,ym,zm = [ float(i) for i in line.split()[:3] ]\n", | |
| " except: pass\n", | |
| " else:\n", | |
| " points.append([xm,ym,zm])\n", | |
| " points = array(points)\n", | |
| " # Mask points that are not spherical\n", | |
| " points = points[where(points[:,2] <= 33.4)] \n", | |
| " \n", | |
| "elif useSource == 1:\n", | |
| " \n", | |
| " # Source: GKN Aerospace\n", | |
| "\n", | |
| " # Date parameters\n", | |
| " file1Name = r'C:\\Users\\michaelh3\\Documents\\GitHub\\retrieval_wear\\sphere\\Previous work\\GKN Aerospace\\Hip_Joint_46_5mm_coordinates.txt'\n", | |
| " zflip = False\n", | |
| " # Surface fit parameters \n", | |
| " settings['surfaceType'] = \"HEAD\"\n", | |
| " settings['lowerPercentile'] = 0.1\n", | |
| " settings['upperPercentile'] = 98.0\n", | |
| " \n", | |
| " file1 = open(file1Name,'r')\n", | |
| " all_lines = file1.readlines()\n", | |
| " num_lines = len(all_lines)\n", | |
| " file1.close() \n", | |
| " points = []\n", | |
| " for line_num in range(num_lines):\n", | |
| " line = all_lines[line_num]\n", | |
| " if 'LOC' in line:\n", | |
| " xyz = []\n", | |
| " for i in range(3):\n", | |
| " line_num += 1\n", | |
| " line = all_lines[line_num].split()\n", | |
| " xyz.append(float(line[1]))\n", | |
| " points.append(xyz)\n", | |
| " points = array(points) \n", | |
| "\n", | |
| "print \"Number of points = %d\" % len(points)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Clean data\n", | |
| "\n", | |
| "Remove duplicate points - This is required due to issues with TetGen" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "p = vtk.vtkPoints()\n", | |
| "for point in points:\n", | |
| " p.InsertNextPoint(point)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "tree = vtk.vtkKdTree()\n", | |
| "tree.BuildLocatorFromPoints(p)\n", | |
| "arr = tree.BuildMapForDuplicatePoints(1e-6)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Number of unique points = 1890\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "nodups = {}\n", | |
| "for i in range(arr.GetNumberOfTuples()):\n", | |
| " _id = int(arr.GetTuple(i)[0])\n", | |
| " nodups[_id] = _id\n", | |
| "idx = array(nodups.keys())\n", | |
| "points = points[idx]\n", | |
| "\n", | |
| "print \"Number of unique points = %d\" % len(points)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Linear Wear Depths" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### 1. Define function to perform a non-linear least squares spherical fit" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def leastSquaresSphere(points,W=None):\n", | |
| " \"\"\"\n", | |
| " X,K,W_K = leastSquaresSphere(points,W)\n", | |
| " \n", | |
| " Performs a non-linear spherical least squares fit of points array.\n", | |
| " Refer to References 1 and 2.\n", | |
| " \n", | |
| " Inputs:\n", | |
| " points = Array of coordinates for each point on spherical surface \n", | |
| " W = Weighting of points. Either 0 or 1.\n", | |
| " \n", | |
| " Returns:\n", | |
| " X = Fitted parameters = [x0,y0,z0,r], where [x0,y0,z0] is the centre of the\n", | |
| " sphere and r is the radius of the sphere\n", | |
| " K = Least squares error\n", | |
| " W_K = Weighted least squares error\n", | |
| " \n", | |
| " \"\"\"\n", | |
| " from scipy.spatial.distance import cdist\n", | |
| " \n", | |
| " M = numpy.array(points,dtype=float)\n", | |
| " if len(shape(M))!=2 or shape(M)[1]!=3:\n", | |
| " print 'Coordinate list provided has incorrect dimensions'\n", | |
| " return None\n", | |
| "\n", | |
| " # Estimate spherical centre and radius by taking averages\n", | |
| " c0 = M.mean(0) \n", | |
| " x0,y0,z0 = c0\n", | |
| " r0 = cdist(M,c0.reshape((1,3))).mean()\n", | |
| " \n", | |
| " # Weighting array\n", | |
| " if W==None: W = numpy.ones(M.shape[0],dtype=int)\n", | |
| "\n", | |
| " # Define vector X, defined as X=[x0,y0,z0,r0] where x0,y0,z0 are the xyz \n", | |
| " # coordinates of the origin of the sphere and r is the radius of the sphere \n", | |
| " X = array([x0,y0,z0,r0])\n", | |
| " \n", | |
| " numPoints=len(M); max_iter=100; tol=1e-12\n", | |
| " for num_iter in range(1,max_iter):\n", | |
| " \n", | |
| " # Define the jacobian matrix J and the residual vector K\n", | |
| " J = numpy.zeros((numPoints,4),dtype=float)\n", | |
| " K = numpy.zeros(numPoints,dtype=float)\n", | |
| " for i in range(numPoints):\n", | |
| " \n", | |
| " Xi = M[i]\n", | |
| " X0 = X[:3]\n", | |
| " r = X[-1]\n", | |
| " d = numpy.linalg.norm(Xi-X0) \n", | |
| " dFdx,dFdy,dFdz = (X0-Xi)/d\n", | |
| " dFdr = -1.0\n", | |
| " J[i] = dFdx,dFdy,dFdz,dFdr\n", | |
| " K[i] = 0.0-(d-r)\n", | |
| " \n", | |
| " # Perform matrix calculations to update X\n", | |
| " # ---------------------------------------\n", | |
| " # Note: Normally W is a square matrix, often diagonal. To save\n", | |
| " # memory, only the diagonal entries are stored and an elemental\n", | |
| " # multiplication, rather than a matrix multiplication is performed \n", | |
| " \n", | |
| " W = W.reshape((W.shape[0],1))\n", | |
| " W_J = W * J\n", | |
| " \n", | |
| " Jt = J.transpose()\n", | |
| " Jt_W_J = numpy.dot(Jt,W_J)\n", | |
| " \n", | |
| " W = W.reshape((W.shape[0],))\n", | |
| " W_K = W * K\n", | |
| " Jt_W_K = numpy.dot(Jt,W_K)\n", | |
| "\n", | |
| " DX = numpy.dot(numpy.linalg.inv(Jt_W_J),Jt_W_K)\n", | |
| " X = X + DX\n", | |
| "\n", | |
| " # Calculate error to control iterative loop\n", | |
| " Xerror = max(abs(DX))\n", | |
| " if Xerror < tol: break\n", | |
| "\n", | |
| " # Return X, K (LS error), W_K (Weighted LS error)\n", | |
| " return X,K,W_K" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### 2. Triangulate points to create surface" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Fit sphere to get centre\n", | |
| "X,lserr,wlserr = leastSquaresSphere(points)\n", | |
| "\n", | |
| "# Move centre of sphere to origin\n", | |
| "points = points - X[:3]\n", | |
| "\n", | |
| "# Get unwrapped coordinates\n", | |
| "unwrapped = zeros((points.shape[0],2),dtype=float)\n", | |
| "for i in range(points.shape[0]):\n", | |
| " p = points[i]\n", | |
| " rho = numpy.linalg.norm(p)\n", | |
| " x,y,z = p\n", | |
| " if zflip: x,y,z = -x,y,-z # Flip z by rotating about y\n", | |
| " if (z/rho)<-1: alpha = pi\n", | |
| " elif (z/rho)> 1: alpha = 0.0\n", | |
| " else: alpha = arccos(z/rho)\n", | |
| " theta = arctan2(y,x)\n", | |
| " xt = rho*alpha*cos(theta)\n", | |
| " yt = rho*alpha*sin(theta)\n", | |
| " unwrapped[i] = xt,yt\n", | |
| " \n", | |
| "# Triangulate surface points\n", | |
| "import triangle\n", | |
| "surf = {}\n", | |
| "surf['vertices'] = unwrapped\n", | |
| "triangulatedData = triangle.triangulate(surf, 'pc') # Option p to triangulate points, Option c for convex hull\n", | |
| "xc = triangulatedData['vertices'][:,0]\n", | |
| "yc = triangulatedData['vertices'][:,1]\n", | |
| "segments = triangulatedData['segments']\n", | |
| "triangleVertexIndexList = triangulatedData['triangles']" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Get list of vertices around cup edge\n", | |
| "edgeverts = {}\n", | |
| "for s in segments:\n", | |
| " for v in s:\n", | |
| " edgeverts[v]=v\n", | |
| "edgeVerts = array(edgeverts.keys())" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": { | |
| "collapsed": false, | |
| "scrolled": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAABDEAAAGuCAYAAACJAp28AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsnXeYFEXzx79FECVnAZUkIgKCAUUMBAH1VUCigSQKghkU\nRdBXMGdFfU0/FQMIIooEESRIUCQoOSkZCYIo6Y7M3dbvj++sOzc3u7e7t3CB+jzPPHfb09PT0zNT\n011dVS2qCsMwDMMwDMMwDMMwjOxOnqyugGEYhmEYhmEYhmEYRjSYEsMwDMMwDMMwDMMwjByBKTEM\nwzAMwzAMwzAMw8gRmBLDMAzDMAzDMAzDMIwcgSkxDMMwDMMwDMMwDMPIEZgSwzAMwzAMwzAMwzCM\nHIEpMQzDMAzDMAzDMAzDyBGYEsMwDMMwDMMwDMMwjByBKTEMwzAMwzAMwzAMw8gRmBLDMAzDMAzD\nMAzDMIwcgSkxDMMwDMMwDMMwDMPIEZgSwzAMwzAMwzAMwzCMHIEpMQzDMAzDMAzDMAzDyBGYEsMw\nDMMwDMMwDMMwjByBKTEMwzAMwzAMwzAMw8gRmBLDMAzDMAzDMAzDMIwcgSkxDMMwDMMwDMMwDMPI\nEZgSwzAMwzAMwzAMwzCMHIEpMQzDMAzDMAzDMAzDyBGYEsMwDMMwDMMwDMMwjByBKTEMwzAMwzAM\nwzAMw8gRmBLDMAzDMAzDMAzDMIwcgSkxDMMwDMMwDMMwDMPIEZgSwzAMwzAMwzAMwzCMHIEpMQzD\nMAzDMAzDMAzDyBGYEsMwDMMwDMMwDMMwjByBKTEMwzAMwzAMwzAMw8gRmBLDMAzDMLIYERkpIoey\nuh6ZRUSuFZGAiNyU1XUJh4i86NSxbFbXxQ8RaS4i80UkWURSs3NbGoaR/RGRe0TkNxE57MiUisfh\nHI0cudo10WWfaERkk4hMz+p6hENEKjltPTCr65KV5MvqChiGYRhGTkNEAlFmVQBVVHVzFPmiLTO7\no/EeKCKlANwHYKqqzklcldKgyEQdjyciUgbAaABrAfQBcAjA3CytlGHkEGKQy41V9cfjWplsgog0\nBvA2gDEAXgRwDMDfEfL3BrBXVT+L43TZUq7GQaauQ0RuA1BcVd9MUH0MH0yJYRiGYRix09nz+yoA\nPQF8AOAnz76wHUZPebnFOlIycWxpAIPAwfvxUmJkZy4DUAjAY6o6OasrYxg5DK9cdnM2gKcA7ASw\n+sRUJ1vQHByU36Gq+6LI3wfARgAxKTFUdZaInAYqSU52ugGoBMCUGMcRU2IYhmEYRoyo6gj3bxHJ\nDyox5nr3RUJECqrqQVVNBZCa4GrmRDKjAMmxiEhhVd0PoLyTtCcr62MYOZFwstcZXM8DkALgZlX9\n64RWLGspDwBRKjBixiW7oKpHj8c5DMOP3DLrYxiGYRjZFlesiJtFpLfjn3wEdJ3wjYkhIjVF5P9E\nZJWIJInIfhH5xTFV9ZYfjPNQWUReEZGtInJIRBaKSDOf/IVE5C0R2SEiB0RktohcFaYeO0RkYoRr\nihizQUTyicgTIvKTU9YREdkoIv8TkeLu8gCsAmcNg9cTEJFVnvI6icgcJ2bEARH5WURa+Zw3j4gM\ndPybD4nIYhHpEKmuPmU0FJHJTr0PicgWEflWRC505fGNZyIiBZz6v+tKO9dJ6+dcx2Ln2FdEZDuA\n952s85x8B53jionI8879/8fxbV8tIs+ISAGfc4vjB/+L005JIrJERB735DvVaaOVzvXtEpExIlI7\nlnYyjGzOJwBqA+inqrPcO0Qkr4g86noH/hGRb/zegWjziitmgYh0cN7zgyKyVkS6OXkqishXzjuX\nJCLDRKRQtBckIq0d2bffecdnu+VgsA4AbnN+B+Vp2FgPTv6KABq78v8bQ8ORpdNF5AIR+V5E9gJY\n6uxLFxPDkUOPi8gsEdnuyP4/RORdESkZoc1ucGTXIRH5U0ReFpF0Y1YRaSciS518fzjHNvWpx5NO\nWrpYIBJl/AthrKKRIrLeuZd7hN+Ghp58GwE0AlDZ04YNXXmqOff7Twl9D18WkYI+573Suc8Hhd+h\ntwAUzqi+JwNmiWEYhmEYJ47+AIoC+Bg0a97gpPvFaWgO4FLQl3kTgCIAbgHwiYh4/W2Dx38B4CCA\nlwCcBuAhAONEpJqqbnflHw+gMYBRAGYBqAbgWwCbfeoRyT84Gt/hQgB6g7EeRjv1uwxALwCXiUh9\nVQ0AWALgEQCvABgJYIJz/L8ziCLyqnNN3wJ4zEluD2CsiPRQ1Y9d530XtI75wSmzPICPAKyPos4Q\nkVoAJgP4A8Dr4P0qB6AhOCBa7GqDWH2obwVwBoD3QH/1PQCmAGgBmiIPBJ+NoHVOZQBdwfYbCsZP\naQLgcacubTzljwLQDsBsAM+AbVjTSXvOub5TwLa5EDQdfxNASTgWRSJyuaouj/G6DCNbISKPALgJ\nwBeq+oZPlhEAOoDv+rvgO34v+A5cqapL48wLAC0B3OXk3Q2gO4AhInIUwPPg+zcAwCXOvkPg+5fR\nNd0Dyo3fQBcZgHJjrIj0VNWPQDfGzqCcvRJAJ9DSLZIVSmcAbzjHPouQZVzQJVJBN4npoIz5GmkH\n1F45eAqAh518YwEccF3rFSJysaqmeI65AcA9oEJ3CIAbnTJ2gzE9gm1wM3g/1oEuiKmgwqaFTz0i\nyehoZXc3ACVAWbkVlN89AEwTkSaq+rOTr7dTz1Kga06wDX9z6n0xeN/3ONe4DUBdAA8AuFxEGjmW\nmRCR+gCmAkgC8AIox28BcEUM9c69qKptttlmm2222ZaJDew8pQLoGmb/teDAcweAYj77vwBw0JN2\nmk8+AWNF7PSkv+CUP8qTfqWT/oQrra2T9oYnb2sn3VuP7QAmRrimmyKlOemn+Bx/j9NmLVxp5zrH\n9/PJf7mz73GffZMA/AOggPO7jpP3W0+++k56KoCyGdzTR5x8tTLIl+7eOekFnHO963N9BwFU9jmm\nl3POSz3p+QHk8cn/spO/tiutq3OO/8ug3gNA//WGnvTiAP70u+e22ZaTNgDNnGd8cRh52tx5V0Z4\n0us4x82KM28lJ28ygDNd6aVBRUUKgN6eckYDOAygYAbXVNwpdzWAQq70wuCAfh+Aoq70TwCkxtBm\nGwFMj7AvFcDtPvsaOdfc1ZNewCfv7U457cO02Vme/MsBbHP9zgsO/rd7rrUgqKRO8y1GSMlRMZrr\nDZPm9/yUARU8EzzpMwBsCNOGSwGs9N5nUFkT8NR7jvNMnO1KywdgvnM9A7P6HcvKzdxJDMMwDOPE\nMUSj9E1W1X9dFIRm/yXB2Z0pAEqJyNneQ8BZNHcZswEcBXCOKzk4UzXYk3csQpYhCUUdX2mhi0cx\n4SokM0ClTP0oi+kEdtyGi0gp9wZalpQAZ/kAKmQUwGueeswHEO2qBPuc+rV1rBYSyRhV3RRtZlU9\nprRWCbrnlHCuexrSt2EncJD0aAbFdgIHBys9bZkPnCls4mfCbRg5ARGpDFp07QPQxi1PXQTlxHPu\nRFVdBlp7Xem8EwCtnaLNG2SMqm515f0HVD4EQOsMNz+BysrKGVxac9C67S1VPeAqez+AoKtBOhfC\nBLIbwKfRZlbVI0A62T8T4WX/GFXd4kmbAaCcy93iYtCy7hNVTXKd6yBCLnkJxfM9LuR8jxVUKET1\nDRO6HZ0PKr5P88jdOaClyjVO3jKgxeJYVf3XelBpuTIYJ2n8KDfmTmIYhmEYJ4610WYUkSIAngbd\nJc7w7FZw0O5lo0/aHlD5EaQKgKOq+odP3jUAKkRbx2gRkU6gaW1dpO17hLsOP2qAM3DhFC0K4HTn\n/yrOX79VCFaBq8lkxFDQdPdJAI+KyFzQjPwLVd0WZZ3DEfVzEES49GEPAOchbUwzbxtWA7BZVfdm\nUOS5Tjl+q+cEza9LANgVa10NIysRBvIcA6AYgBsiKAyrgAqF3332rQRnx6uA70DlGPIGCSePt6uq\ndxWPYDBfryLEr84KyjG/egiAqhmUkRnWq2MSEA3CmEkPgW5r+V27YvmGBdu0FGjFFpTva3zyrsZx\nGOCLSFXQBega0BrGTbRL+57n/H0K/LZ7cX/Dgvcw3DfspMeUGIZhGIZx4jgYQ97RYNyDd8FZmt2g\nJUIb0BXDb5Y83AonmenUheuwRtWHEJGOAIYB+Bn0H98GmsieBs5gRjvbL6BVyfUR8iQshoOqHgZw\nteOXfA0YC+NZAE+KSAdVnRTMGqaISO0Ty3MAEXnMOfcE0LpkB9gWVQB8iBgDtYuIgO25ELTYCPd8\nHJcVDQzjOPMR6ObxX1WdkoX1CCePI61Eld1n2KOWXSLSFrSGmQ/GfNgCyv68oEI4lm8YEH/bRFK6\nZPgdEwZc/Qn8Zg0GsAJ0ewmAsZmaRFmPYP1fA/B9mDy2MlWUmBLDMAzDMLIZIlIWNAl+X1V7e/al\nW4kjRjYBaCgilXysMar75N8NBnz0cjaiCy7WGQxM1kRdQdxEpK5P3kjlrQX9rteHsSJxE7TWqAH6\nTbuplcGxaStEF5T5ACPogz7NT4NxOAC2TwEROdVRfARJ5GxoZwC/q2qaey8irX3yrgHQ1An+6muN\noaoqIusBlFbVGQmsp2FkKSLyEBg4d4yqvpBB9g3gQPo8cGDqJignNsaR93iyARwM1wLdLLz1UGTO\nLTCRASM7gzFAGgfdSgCu0pTJcjc5f/3KqYH017Db+VsSDF4drEcB0C0lI8u4pk6+bqo61L1DRJ73\nyR+uDYPnSVXVjFZECT5LNXz2xfQNy62Yr6NhGIZhZD+Cs1FpvtMichacJfMywbdgJ/ghT9lt4T/w\nXgPgfBEp7cp7Ghh1PxpSwU5dXk/6f5G+s7ff+eunNBnm1PtFx5IgDY7iJ8g4J29fd14RaYDoXEng\n498OR3myy1O/oEmz1w+9LxI3IEg3O+nE6XjU5xzDwUmqF73HeBgKoJKI3Ou309OehpHtEZEm4MpM\nvyE6OTkWlBMDPOXUBlcW+UlVd8WR93gyFYydcL+I/LsyiON+eD8oQ6dmovz98Je/8RBO9j+BzMnG\nBaByupuIFAsmOu3Ryyf/GvDeeWX0Q4huLBzue3wNuIKYl/3wcZVR1cWgAuwuEani3S9cwreEk3cn\ngHkAbhSRaq48+QE8CFudxCwxDMMwDCNBJMwMWFV3icgsAN1FJAWMrl8VXH5vDYB6mSh+DBhY7T4R\nKQfO5lUHcAfojlHNk/9tMADeDBH5AIwA3xVARjEXgnwNuoBMF5Hh4Kod7UD/6DRtpqp/isgWAF1E\nZCsYryFJVSep6mwReQFcpraGiIwGO7IVwPZoDPrAQ1WXichH4FJ+U0VkrJPvHrAtL4ii3s+KyJUA\nvgNnxfKCrjyVEVrWEKBy5WkAn4nI6067tHDqEs8z4XfM1wAGish3oIKmJICO4Cyntw0/dxRSd4pI\nTVBplQTO6F2lqsFn5xVwhvEtEbkWfCb2A6gIBg/8B1zu0DCyPY4sGwUONL8BB3/hsi9T1eWqOk1E\nRgG4xQnUOAGccb8HdJt4IHhALHkzcxkZZVDVfSLSD5TL80XkU+e42+B8I1Q1ORN1mAfgDhF5GlQG\nBQCMDxMYNSO+BlfDmiEiQ0GZ3xp0y4j7e6mqqSLyMIDPAfwqIkPAYMbdEIpf4h7kTwNjSzztKOM3\ngit31QflXEbMBl34XnOUD1vBb0gX8JtZ25N/HoAbRORt0BU0FcAPTmDXLmDg5GUi8jGclUrA725b\n8PsWtPZ4CPw+zxGRd8Bvyy3gM57d3Y6OO6bEMAzDMIzEkNHMSKz7O4BLaLYBl6RbA3ZqCiI2JUYw\nSCN/0JWgJbgs603ggHspgFbgsqJpgoiq6nQR6QHO+r8C+jX/z6nPdxldh6p+5kSVvw/Aq6Bp7xhw\n4L/D57pvcfK9CHZ2V8Nx3VDVx0VkHjjj+CDYFn+BHcnennLuAjub3Z16rwYDY16M6JQYX4PKgpsB\nlAUHKmtAk+JhruvbIyLXO3X+LxhHYhSo6Njpc33qk+bd7+UZcDBxG4A3QeXNcOc8S3yOaQe29+1g\nYNJjoIn5l656HxWR5mBbdnLqq+DyqvMQwwoEhpENOBchC4LHMsj7FELxczqCsWG6ge/wAXDgOFBV\nV3qOiyVvpPc81vS0mVTfE5E/QXk90EleCqC1qn4bb7kOj4NWBPeAASwFjL0TdMOIWnap6peOdcSD\noAzeA64kNQBUNsQqG91lfyEiR0GrjidBWfsx2A7fgAreYN6A8817C5SLR8GYHI1AJYPfOd3fzH2O\n1cXLzvH5wOfgP+A3xeveMRhss3agZUgeMG7Gj6q6VEQudNqgpbM/GXSR+RhUcATPO8+R0S+C3999\nAL4CV2BZHm1b5VYkhgCzhmEYhmHkYkRkNYADqnpRVtfFMAzDMGJBRPqCyoYGqvpLVtfHOH5YTAzD\nMAzDOMkQkVN90toBOAdAVkbzNwzDMIyIiEh+EfHGqCgMroC1C8CiLKmYccIwdxLDMAzDOPl4zokQ\nPws0Zb0YNJHeDuD1LKyXYRiGYWREVQCTRGQkGOOiAhirqRKAu9wrYRm5E1NiGIZhGMbJxywAlwDo\nB6AoOHM1AvTt3pmVFTMMwzCMDPgbwFwwTklZMLDncgD9VHV0VlbMODFYTAzDMAzDMAzDMAzDMHIE\nFhPDMAzDMAzDMAzDMIwcgSkxDMMwDMMwDMMwDMPIEZgSwzCOIyIyU0Q2ZHEdnhSRgIhUzMp6GIaR\ntcQqCxIhO0TkNqeMhvGWkZ0QkU9FJJDV9TAMw8hKROQ0EXlLRP4QkZSs7usaJx+mxMiFuDqNXcPs\nr+Ts//hE1+0kJDsEnVEAcXe6RaSYiAzKLYMQwziJSScLRKSR834XDZM/ETIsO8jBRJGoNjEMw8jJ\n9AdwH4AvANwGoE/WVsc42TAlRu7FOllGkGcAFFTVzXEeXxzAIACNE1YjwzCyAj9Z0BjAQPA9NwzD\nMIxoaAZgmar2V9Xhqjo+qytknFyYEsPIFohI4ayuQ25FVQOqejQTRUjCKmMYRpYRRhbY+53FiMip\nIpI3q+thGIYRCY+sKgdgd1bWxzi5MSWGASCNi8lAEblBRH4RkUMi8qeIvCwieVx5Bzp5K7nSyjlp\nKSJS3JVew0l/xJUWEJGPReRqEflJRJIBjHf2lReR10RksYjsduqwUkT6uevg5A26zTR1fLc3ichh\nEVkqIjf7XOMmEZkuIhc6f5NFZJfj41zGJ/8pIvKYiKxw6rFHRMaLyAU+eYuLyIci8reI7HfKvyjO\n9r/FuYZDjq/hIL8OroicLyJjROQfVzs94tNO6fzaXWnVReR5EdnitN0SEfmPK18jABtAy57gMQG3\n76OIdBWR+U777BeR9SLyuYiUivb6DcPIGBGp6Lx/gzzpk5303p70+SKy0vU7jSwQkU9AKwwA2OR6\nvwciLadGkhNRki8aOe3Uq7WI/OzIk2QRmS0irXzy+bpFik8cjmhlnit/ARF5RUS2ichBEZknIs3D\n1PcSEflERFaLyAERSXLq3Non76dOPUoLv4M7AOwHcJGIHBGRYWHO8Y6IpIrFNjIMwwdHZj0pIr87\ncmiPiCwTkZed/f/2M32O9esnhpNVnYVxgSoDaOz9bohIcxEZ6fQFDzr1mCxhXJJF5GxHfm5xZOA2\nERkrIhd68tUT9nn/dmT378I+uimAT1LyZXUFjGzHDQDuAfA+gCEAbgTwMKhtfdHJMx10L7gawCdO\nWlPQ11oANAEwxpWuzjFuLgHQDsCHAD51pdcB0No5fj2A/ACuc85dBcDdPnV+CUBBAO84v28H8IWI\nFFDVoa58CuAsAD8A+BrAKAAXAegO4GIRuURVDwOAiOQDMBnAZQCGAfgfgGIA7gTws4hcpaqLXHmn\nALgYwFAA8wFcAGAagF0+9Y3Ejc51vgNgB4BWYFtXdOoJ55z1AMwCcATA2wD+AtDSaYs6ALp4rtvr\nXhRM+wzAUQCvADgF9GkcIyLVHZPz35y0NwB842wAP2QQkS7g/ZsF4AkAh8A2vh5A2Tiu3zCMMKjq\nZkeBeDWApwBARPIDuAJAqpP+ppNeBJRv77mLQFpZ8D6AoqDM7Y3Q+7rMlUeQsZzICAHwMqKQ0yJy\nDyjTfgteI4BuAMaKSE9V/SiK8wHxy7wgI0F5PA6U72eD8m+jz7naADgXwJcA/gBQCvQR/0ZEOqrq\nSJ96TAWwHcDTYLusB5X5bUXkXlVNcrVJAQC3ApiSCbdAwzByN++CsvIzAHPBMd45YJ88IyL1E92y\nqhCAlQA6g/3CvwE8C8r44HejG4ASTj22AjgDQA8A00Skiar+HDyB05f9AUBeAB85ZZcE0AjA5QAW\nO/luADAawFoAr4JjkgZOneoC8FWIG7kcVbUtl21g5ykVQNcw+yuBCoePfdKSAZzlyb8cwDbX73zg\nIHaYK20IgF8BrADwtit9NChsxJUWcOrXxKduBcLUeSiAYwBO91xnAOxUFnalFwWwCcA/7vKcfKkA\n7veU3ccpp58r7UEnbzNP3sJgJ3W6K62nc/xAT94HnPQNUdyzYPsfA1DXs+8bpy6XutJ+BjvitTx5\nv/S2LagESQVQ0ZMWADDOc3w9J/05n7oN9Kn3aAB73ffXNttsO34bgA8AHAZwqvP7Kuf9/Mx5F/M4\n6S2d9DauY8PJgjRpnn1RyYkI9Y1aToNxOZIBrAZQyJW3MIB1APYBKOpKT/Md85wzFUDDeK4FwDVO\n2hBP3lZOeqon/TSfOpwK4HcAKzzpnwTvl88xzZ19d3nSOznX0y6rnz/bbLMte26gEnpChP2R+nJ+\n34awssrZvxGuvrAr3U8elgEVHhM86SsAHISnL+vJUwBUoszw9jVB5XsaWW/bybOZO4nhZYyqbvGk\nzQBQTkQKAoCqpgCYjbTa3SagNnU6aH0RpCGAWarq1fAuVdUZ3pOr6pHg/yKSX0RKCN0SpoDuT/V8\n6vyuqu53lZEEzjCWQPpglElIOzMJUHudBM6mBekEdkAXi0ip4AZ2TKcCuNKZHQM4W5cC4HVPue87\n5cbCFFVd6kl7GdRytwEAoetLA7AzvtKT9zl33gxQOLO2/yaoLgAVVOdEWd994CxiyyjzG4aROaaD\nFmpXOb+bgpZYb4KKgUuc9CZgBzSdnI2RRMgJIDo53Ryc6XtLVQ+48u4H8BaozGgW+yWEqo7oruVG\nJ++rnrzjQQULPOmHgv8Llx0s6dR1OoDzJH3Mp3RlO+VMBQcG3T27uoMDlHERrs0wjJObfQBqiUit\nBJbpK6siHpBWHhZy5KGCVsr1XfsuAFATVER7+7JumgM4HbT6Lenpk38P9nmviaWORu7AlBgnN34r\nmPiZygZNjN0xDqYDKC8i54pIFdA3brqzVRfGtrjAOcbrSgIAa/wqJCJ5ReS/IrIanG3cBWpvg+bG\nJXyu4XefolaBgq2qJ32Do4QJFcBAdxs8ec8DUMM5t3vbCZpB5wVQ2slbFcB2dwfdU24shLuW4HkA\nupu40938Bg5cvNcdjnD3O9p4Fs+DlilBP8WvRaS7T6fdMIzEMB2UbVc7v5s4aYsB7PGkL1XVvQk4\nZ2blRLRyuoqT10+2rYS/TI+VaK6lKihH/b5Tv3kTRKSMiHzg+IwfAK1LdgK4y8nit/LL2jD1+wiM\nj1HHKbsKaFo91PvtMgzDcNEH7CMvF5F1wjhtrUQks8Gbw8kqX0SkqhMTYzdoWReUh9cjbR8+qDhe\nkkGR5zl/P0H6Pvlv4Dfj9FjqaOQOLCZG7uQQ2NkrGGZ/IVc+L6kRynULQndH+qiz/QSafSk4O1gG\n/vEwAJqP+TEYoXWnnwUF3zEw3sSLOHGKNwHdaB5E+Oj9f5+guhxPwt3vqD56qrpORGqC97sp2Nn+\nEMBTTtwQvwGDYRhxoqo7RWQVgKtF5DRwZmuoqqqIzALQVET+D4yN47UOi5dMyYksIFLf5nhcy1Qw\nJsYbABaCM6KpAO4AY1mk+26pE3/Jh4/BWCDdQVPpoFXGkEzUzzCMXI6qjheRyqCyoBFotdYdwI8i\n0gz+E5dBwsrMCLIqHSJSCBwLnAb251eAiowAgMcQXXyOdMWCdX8YgNdSOcifcZRr5HBMiZE7CQ4c\nzwuzv6YnXzwsAjtqTUEFxnzHhOyQiCwGhWdJADszMBPz0hl0P+nkThSR6mHyC3id33rSa4FCz2sJ\nUVVE8rlntETkFHDmzT3DthZAGT+XFx82AGguIoXd1hiucmNZgsrvngVNA4PXstGT7j0+D2K3AIlE\npA8fVPUYaNL3PQCIyHUAJgJ4CMD9CayHYRhkOhjkuCXoWhJUFP8ABqz8Dygb/RTIXiK+3wkiWjm9\nwclbC+ndYPxk+m7wO+Pl7EzWdwMoR6sjveVFTfcPx2KiDoAnVfVpz76esZ5YVf8SkW8BdBKRAWB8\nj/mqms4CxDAMw41jeTfC2SAiLwJ4BHSRm+xkOx4yM0hTAOUBdNO0gfUhIs978gYt3dKt+OdhLfhd\nOKiq0XzTjJMEcyfJnSwCsAXALSJS3r3DiWR/H6gVHR/vCVQ1AK5I0djZ3IIlGBejIYCZMRadCs+M\nmKPZ7RPhmLtFpKgrfzHQjHevU0c3RQHc60m710kf40obCsYB6et3QhEp6/o5DlQIevPe45QbC829\ny0oB6Ad23scCgKr+DWAOgJaOFYSbAU7eMUgcQcVMug+f+C+jGjQN9PtQGoaReaaDLm2DAGx2WTxN\nB+P2DAAt2H6Moqyw73eCiUZOTwXdMe53u6Q5K63c79R1qqvMNQAaiMiprrwlwOj4mWEc+B16xJ0o\nXDLVq1APWnZ4l7auDa76Eg8fgvfjfQAVnN+GYRi+iEgeR6Z6WQLKshLOJNsOhFwOg8dWBZUciSCc\nPLwGwKXuNCf+20oAd/j0Zd1MBq2y+zvyPQ0icqq5MJ+cmCVGLkRVU0XkbnBVi2UiMgRcvu10cBmi\nmmAk9pj83HyYDkZr97qMTAc7f+FcSSLxNYCeIjISXKK0HBiD4p8Ix/wDYL6IfAIK69sBnAmgu48Z\n3HoAA50O5kIwUOjtoA/2/1z53gSDCb0sIlc715EELnXaFHTFCQYw/QRcoWSg8zGYC+BCAO2d88Wy\nhvVSAD/IHuLWAAAgAElEQVSIyLtgNObW4AdnqKrOd+XrDSqIZotIcDnWlk6dh0dpQRIVqrpbRNaB\nSrENYBDBA6o6AcAUEdkLmg9uAX2/u4FKsqFhijQMI3PMBN+xGnAtUa2qvzlxGWoCmOsOjhmBeXCW\nQBWR4WAsohUxWtBFQ4ZyWlX3iUg/cInV+SLyqZP3NtCqraeqJrvKfBvA5wBmiMgw0N+6B7jqSdw+\n0qo6xbGGuM0VPK4aKOdXIK0V3G9gR7yfo3BfDbqW9ASXHLw4jipMBmMNdQZNsb+M81IMwzg5KAJg\nu4iMB+Mj7QRl5l1wVi1x8r0N4FkRmQROjJ0BoBfoPn2Jt9A4mA32R19z4vlsBS0tujjnqO3JfzvY\n1//FGausAPuRjQBMUtV3VPWgiHQFJ+dWi8jH4GpVxUELvzZgXzkapb2RizAlRi5FVSeKyBXgLH5X\nMGjZAVC4Pamqo/0OQ2ymxdOd/AfBgXuQn8BZwLzwV2JEOs+DoLLgJlBBsgWcjVqItDNw7rIeBSP1\n3wN2XNcA6Kiqfh2/rU7ZrwG4BXSFGQbgEXdEZVVNEZHrnTK7AHjS2fUngF/A5QyDeY85/oavgIK0\nrZOnuXOeimGu1Y9g9PvHwBm/neA62M+muWjVhSJyOeg7fTcY52QDeL8T4QfvvT8dQf/G58BYK3+A\nH8V3wfbsCc4c7gKfsXtV1T4ohnEcUNW9IrIEVJb+4Nk9HYzD4E0PV9YcR3FwF7h8az5QrkSjxIj2\nexG1nFbV90TkT1ARPtBJXgqgtap+68k7wrE2vA+UtRsQktX1ERvea7kJlLudQPfI5WBnuRNcLiWq\nGnC+Fa+C39pCYEe8K9h591NiZOSip06H/mkAX6pquBhShmEYAPvhgxGKT1YYnAgbC+BFVd3h5HsJ\ntBDuAioKVoGxe+rBX4mRkYxPs99RRF8Drqp3H/g9WQi6OPaAxw1aVReIyCUAngDQAVSo/AP2oX92\n5Zvi5OsPyuAyYCDr9aDsXZZBPY1ciKRf+dIwcgYichsYBK1JNANmEdkIYKOqXp1R3hONiFQCY12k\n86s2DMMwTi4cxdILABqo6i9ZXR/DMAzDyE5YTAzDMAzDMIxsgojkBWckl5kCwzAMwzDSY+4kRk4n\nuy7xZxiGYRhR4yyPeDkYZK8y6PJoGIZhGIYHU2IYOZ1Y/aGys/9UrDFJDMMwjNxDIzBQ9N8AnlLV\nr7K4PoZhGIaRLbGYGIZhGIZhGIZhGIZh5AgsJoZhGIZhGIZhGIZhGDkCU2IYhmEYhmEYhmEYhpEj\nMCWGYRiGYRiGYRiGYRg5AlNiGIZhGIZhGIZhGIaRIzAlhmEYhmEYhmEYhmEYOQJTYhiGYRiGYRiG\nYRiGkSMwJYZhGIZhGIZhGIZhGDkCU2IYhmEYhmEYhmEYhpEjMCWGYRiGYRiGYRiGYRg5AlNiGIZh\nGIZhGIZhGIaRIzAlhmEYhmEYhmEYhmEYOQJTYhiGYRiGYRiGYRiGkSMwJYZhGIZhGIZhGIZhGDkC\nU2IYhmEYhmEYhmEYhpEjMCWGYRiGYRiGYRiGYRg5AlNiGIZhGIZhGIZhGIaRI8gWSgwRySMii0Rk\nvPO7hIhMEZHVIjJZRIpldR0NwzBONkw2G4ZhGIZhGNmNbKHEANAbwCrX7/4ApqnquQCmAxiQJbUy\nDMM4uTHZbBiGYRiGYWQrslyJISJnArgewEeu5BsBfOb8/xmA1ie6XoZhGCczJpsNwzAMwzCM7EiW\nKzEADAbwCAB1pZ2uqn8BgKruAFA2KypmGIZxEmOy2TAMwzAMw8h25MvKk4vIDQD+UtUlItI4Qlb1\nSxQR33TDMIzsjKpKVtchEiabDcM4GcnusjkzmFw2DCMnEk4uZ7UlxhUAWonIBgBfALhaRIYB2CEi\npwOAiJQDsDNcAaqa7bZBgwZleR2sXrmvTlav3FGvHILJ5pO4Tlav3FGv7Fin7Fyvk4Hy5RXDhmW+\nrT79VNGlS/z3fMMGRdmyip9/DqWlpipef11RqpTi3XcVgUDi7u3hw4pzzlFMmBD9MTVqKJYtiz7/\n1q2KEiUUSUmh612yRFGlSvzXkpys6NhRASiqVVMUKqRo0EBx3328B8uXK44di768N99UdO6suPlm\nxdChiquuUrz2Wubbt3TpQVi+XPHll4pLL83cvZs1S3H55dHnDwQU69YpPvxQ0amTokIFxRln8P+P\nPlKsXas4/XTFmjWZu8Zu3RRvvRX6PXDgIFStqpg3L/wx+/crnn9eUbq0okcPxebNsZ2zVy/Fgw9m\n/v64tyVLFHXqKFq1UuzYkXbfzJmKcuUUW7akPy6c3N61SzF/vmL4cMVTTym6duX9K1tWUbCgonZt\nRevWir59Fe+9p5g6le9/Rs/tiy8qqlePLJez1BJDVR8D8BgAiEgjAH1VtYuIvAygG4CXANwGYFyW\nVdI46UhOTsaWLVuQnJyMIkWKZHV1DOOEY7LZyBYcOgTs2QPs3QvMnQusXg38/DNQpw5w3nlA8eLc\nTj0VkFw7gW4YCWPaNKBZM74unTrFX07evEAgEP/xVaoAH30E3HILsGgRkJwMdOvGMufPB84+O/6y\n/ShQAHjrLeC++4CmTSkyInH4MLBpE3DuudGf44wzgMaNgeHDQ2njxgE33hibeNq/H/juO2DUKN6v\nSy9l+muvAddfD+TLxMht+HDgqaeAH38E/vgD+PRToH594LrrgJo14y8X4DW2bw888wwwcSJwww3x\nlbNxI5+PWM579tncevQAVIH164GZM4Hp05kGAC+/zPZr2hQoWjT2erVuzWfo/vv5e8MGoEiR0P1x\nc/Qo8OGHwHPPAVddBcyeHduzBADLlwPffMPPXiKpWxf45Rc+B3XrAu+8A7RrB/z1F9CxI/DZZ8CZ\nZ4byqwI7doSel3XruK1fz7+qQLVqbP9q1fgOdO/O/8uXj+/T/OqrlA8zZ6ati5csVWJE4EUAo0Tk\nDgB/ALgpi+tjZHOSk5OxYsUK1K5dO1OKh+TkZFx11aNYtuwwFi58FD/99FKmFRmJqpthZANMNhvR\nowps2QIsWABUrUplxJ49oc392+//I0f8y50zJ+1pTjkFUqxYSKkR3Lxpwd+FCwMrVwKXXcaeZeHC\nJ6AxDCPrqVkTmDoVaN6cg4uOHeMrJ08eIDU1c3Vp2RL46SegTBn+fvVVoE8fKkiOB9ddB9SuTWXA\n449Hzvv77xRZp5wS2znuvht4+GEOeAFg/HheV0YcOMCB/6hRwJQpwOWXAx06cCBcsiTv086dmVNg\nrFtHxUyzZhTLc+fyGp99Fujalb/z54+vbFU+T3nycHA8cCAVBvEMYGNVYngR4QC6WjWgVi1gxAim\nn3km8N57vNZ69fg8/Oc/wPnnR1fP5s2BLl2A3bt5TxYupELDfWxqKvDFF7z+6tWBCROAiy6K/RpU\ngb59gSeeAEqUiP34jChQAHj+eaBVK7bHkCHApEl87jZuBPr1CykrNmwAChbkMampVFa0bBlSXJQq\nldg5hMGDgfffpwLjjDMi5802SgxVnQVglvP/bgDNsrZG8dO4ceOsroIvubVeQcXDypUtUKtW5hQP\nK1aswMqVLaBaEKtWHcTKlStx2WWXZYu6Abn3Hh4vsmu9chImm48v2bFOQJz1SkritOqCBezhff01\nkJKS2Hr5pMnRo8Dff3OLlQIFgGuvZa+2Xj3g4ouBsrHHq82O9zE71gnIvvU6WahViwPl5s056Lzl\nltjLiNUSw++ep6ZSXxnkxx+BypWBFi34Wh4PBg8GLrmEg9GKFcPnW7GCg9tYadoUOHgQKFOmMbZu\n5YDwyiv98x48yIHjqFHA999Tp3rTTRzAlSqVNm/z5sDkySGrgngYMYLl58tHJUFwcN+zJzB2LAe1\ngwbFV3bBgo3/Hci2bk1rjPHjaYUSKxs3Ao0axVcPNytXAm3a8Fk6coT3YdAgKoxmzmTbt2nDfUGF\nRrNm1HX7UbAgcPXVVDY1bQps3tz4X2smVeDbb6kcK1IE+OSTzF3DpEnA5s3AXXfFX0Y0lC0LtG0L\nvPQSf69bB/z6KxUUHTuGLFyKFgVmzmyM4y2633wTePvtjC0w/iWRfjYnemP1jZOdOXPmaL583ymg\nmj//dzp37ty4y0pKStK6de/W/Pm/07p179akpKRsUzcjd+DIrSyXn8dzM9l8EpCUpDprlurrr6t2\n7Khavboq+3IJ2wL586uWLat67rmqlSvr3tPK6f6i5fRIleq65/TquufU0/UwTkn4ebViRdU2bVSf\ne0518mTVf/7J6tY2TgC5XTZ75fLy5arlyqmOHBl7W40apdquXezHBTl4kMc3aqR66ql87Tp2VG3S\nRLVkSdVevVRnz1YNBOI/RziefFK1ffvIeR59VPWZZ+Ir/7XXVDt3Vn3nHf51c/Cg6ujRqjffrFq0\nqGqzZqoffKD699+Ry9y8WbV0adXU1PjqFAhQRAe7oOvXq1aqFNq/datqmTKqCxbEV3716qq//Rb6\nPW6cat268dX3qqtUp0+Prx5BNm1SPfNM1c8+Uy1eXLVTJ9Vnn02fLxBQXb1a9Y03VK+7TrVwYZ7/\n+edVFy9O//x98gmf22efVb3zTqbNmKHaoIFq7dq87sw+s0ePqtaoofrtt5krJxx79qj+3/+pXnkl\n7/m554Y+faefrvrTT8fnvBnxv/+pVq7Me+cmklzONpYYhhEvtWvXRq1aj2LVKqBmzQmoVeuluMsq\nUqQIJk78L7777jvccMN/M+3+kci6GYZhZAkHDgCLF9O6YsECYMEC6OrVEM04GKICCOTNj5RyZ2J/\nsTOxL08J/JNaAn8dKY6tB0pg494S2CfFUaBcCRQ6swSKVy6O0ueUQPmaJXBW9dNQpar86+3Rrxdw\n4YWcnQpaeQcCwNJfD+Pn7/Zi0Yx92LBoL84/ay8a1NyLC6vsw9ml9iLf/r2c8t27F9i3D1i/HkfX\nb0b+lMMQvwV2Nm/mNmZMKK1y5ZC1Rr16tBE+Hna+hnGCqF2bFhnXXENz8JticA7MTEyMXbs4Q3/W\nWbQuuPFGWj18/jlngQMBxm7o0QM4dgzo3JmWE4mKk9GvH91qgvFB/FixIn6rh27daImwahUwYADj\na3z/PS0uJk6k+OjQAfjf/0KuNBlx1lm0zli6lDIwVhYtouVL/fqh8rZvZ/vmz0+z/TfeoGvBwoUZ\nxwzxoprWpaBlS+DppylC27WLrazMupP8/Tef6UceobfgmWfyGRs2LH1eEbp9VK8O9O5N65hZs2gJ\n0aEDP31uK40WLehCMns27/G11wJr1/Jab701Ma5QH3zA+xFvTBE/jh3jMzh0aOidf+QRhpdq0IBx\nLK64AmjYkJYZ77zD6z9RvPce3a5mzgQqVYr+ONEoOiHZFRHRnFz/k51ExopITk7GL7/8AlVF/fr1\n4y4vrfvHhEy7fyQnJ2P+/PkQEVx66aWZLstia+R8RASai5fxA0w252j27+do4ttvgdKlgYULob/9\nBolixKJ580LOP58uGc5Av9/wuih9RgH06xfmGGX4i40baf67aFFoO3DA/5gbb2Snq1Qp6hFKlKCP\ncokSNPldtIgDlGnTOJC4/HJ2QJs1Y6ctTx4OjJo3ScFt9X9H4NeF2DR6AQ7PXoAq+5bgNByOrq3O\nPpuR0Xbs4Aiwa1dTbORgcrtsDieXly3jYOytt6IfuIwdS5P5cTGGdt64kQPCVq2AF1/ku9i1K83z\nt21jQMuZMzmwVuWAeuhQYORIDjS7dOGrltnXbNw4oH9/KgX84l5UqsSgkPEqTi66iHrfVq3oJnPh\nhax327ZxeasBYFDSihURVpZG4qGHGPrn6adDaVWqUEYGr1GV979KFeCVV2Ir/5xzeO+qVw+lTZzI\nui5bxvscDUeO0HXhwIH44n8kJ9Pl49prGevj+eep1HjwQboR7dgRW/yGdes4+J80ifFb6tRhbGmA\nQSsffxy4887YY6eEY+9eKl6mTuW5MoMq5xyGDeP7c+65fH86dOD7k5ICNGlCJc327byHvXsDS5ZQ\nWdO3L9vtePN//8f7NGMGY7R4iSiXw5lo5IQNZrKcYwm6beTLlxi3jUSVdzxcUxJxjYluLyPrQC43\nWVaTzTmPQED1119V+/bVQL58qlG4XKTmyav7Kp2vm5rerkt6vqMzXpynY0Yc1K+/Vv3qK9Uvv6Tp\nbfCQHj1UH35Y9f77adp7/fU0wa1Rgx4j+fPTrLx8edVatWjq2rKlapcuqrfcovqf/4SvTuXKNIkt\nW1Y1Xz7VggVVzziD5r116oQ/rnt31WPH0jbF6hVH9eVOS/S+QkP0u8p3697ql2jglChdVk47TbVv\nX9pkHw87eOO4kttlcyS5vGQJTcm/+iq6tho/XrVFi+jyBlmwQLVCBdW33kqb/tBDqq+8QteD66/n\nby9Hj/Kc7dvTDaNdO5ruHzkSWx2CBAKUKa+8kn7fvn2UIfG4Qhw6pPruuyGR8J//qG7fHl8dvYwd\nq9q8eezHpaRQrrrdPVTpujNlStq0nTuZ98cfYzvH2WerrlmTNi0QUK1fPzZ3pTVrVKtUie3cQQ4f\nVm3alK5IQfHbpAndMgIBuk5t3Bhf2ap0Bfr++9C9bd9ede3a+Mvzo29ffiszw6ZN9IQ891zel6ee\novuQl0cfVb32Wj7nN92kOnx4aN8ff/A73Ls3n5/jxQcfqJ51luq6df77jx6NLJezXKhmZrOOcs4l\n0bEiElVeImNiJPIaLbZG7iG3d5TVZHPOIBBQXbZM9bHHVKtW1UiD8xTk0Y2Fa+mUCrfpu+e9pQ81\nmKNtrzugLVpQ0dCqFTtDFSpELCbNVrKk6jXXqA4YQB/xP/7IeNzfs6fq++/z/w0b6Nfbrh19nuvU\noZJkyhT6l2/ezIHZjBmq33yjOmQIByxduoR88INboUKq996r+vHHqkuXUrGxfz87WHXrqtasdkQ/\n77tID7zxAStx0UWM1xHpAs85R/WJJ1RXrjzed9JIELldNmcklxcvpiLj668zbqsJEzhAj5aJExnT\n4Ztv0u974QXVRx7h/7t2MVbD6NHhy9q9O+TTX7q06n33qf7yS+x6wzVrVEuVUt22LW36nDmq9erF\nVlZyMuVL+fJU7vTpExIFb78dW1nh2LuXMRsOHYrtuKlTVS+6KH36HXewHb2MG8dPQnJy9OeoWtV/\nQD95MhXV0Q6EJ09Wvfrq6M8bJCWFSoV27ULnOnCAsj3Yjb/xRtUvvoi9bDcbN/KetmnD2CqlSqne\ndltilBnr1rG8eJRe+/bxG9e4Mcu46y4+x+HeiW+/pfIgGIvFT6G1Zw/La9uWCpxEM2QI45ZEaru1\nayPL5SwXqpnZrKOcc0l0AM1Elrdt2zb94IMPdJv3y5aFdUp0exlZR27vKKvJ5uzN779zaua88zTc\nADxV8uq2QtU4DTN7Nkf0Lg4f5qDh3XdpzVC3Lo0QLriAs0jvv0/DjsOHOYavXp3HpaZSuTBjBjsw\njz3GAHf16lGpUbgwy2rThgqJ995jp3bdOs7IuJUYbo4dY4ftySdVL7+c5Vx7LQPsLV+eviO3dy87\nt3/+yZmv4KXnz8/OeMGCqpddFlJsvPeeaocOVJbceSeVI3r4sOqvv2rgwYd0Tb4aGsibN2x7ap06\njBTnNx1mZBtyu2yORi4vWkSLJj9lg5tJk/iORcNHH1E58vPP/vuHDFHt1i30+5dfGHAwmoHhunV8\n788+mzPPzz2XPjBgJAYMoGWYmw8+SFufSOzeTXFapgxns5csYfo776jmzUtrsBo1qNRIxIx2gwaq\n06bFdsztt1MWenn2WdX+/f2P6daNFg3RUqWK/2x6IKB6xRWqn38eXTnvv89vSiwEAqzr1VdTLAeZ\nMoXfgyAvvMD7kBn69+e9vvVW/t6zh/c/EcqMtm35/EbLsWNUDt5yi2qxYqqtW1P5524DPzZt4jvu\nfh9r1w49u24OH2bA3csvzzj4bCx8+imtJVevjpyPli/h5XKWC9XMbNZRztkkJSXptGnTdOrUqQkZ\nlCdC+ZBot41EKkSmTp2q06ZNMwVGDie3d5TVZHP2Y+NG1RdfpJYhzEA7ULSoateuqt99p9s3H9Xi\nxdnpPnyYZuDvv88B/IUXUmFRpw5n8t59V3X+/PCzgwcOqBYo4G+aHQhw/5YtNAoZN0514ECalJct\nG7aq2qIFo/7ffz/zDx5M15WxY7lgyo8/qr75JgcnlStzdvS221RHjKC59OLFquefH6rH0aNcbaFR\nI1qT9O3LGbvXXmMH7txzqdioXDlUh6JFVYcNo4l2+fKqgSNH2aPs2lUDRYqEr3z9+qxwJr8JRuLJ\n7bI5Wrm8cCHfvzFjwueZPJkra0QiEOD7WaUKdafhGD+e77ybd96hQjPaGeBAgIOyu+6iQrRxYypH\n9u2LfNz+/ZyRnjUrlHb//f6Dfjc7dtAcv2RJKgm81/fMM9QBlyjBwWGTJrQE8OiDY2bgQJ43Wg4d\nYh38xM3w4VS8+LF3LxdpmjQpuvNUrhxeR/vDDzRM87ru+fHoo/6riETiiSdUL744ZHHhLmvgwNDv\n6dOpBIqXw4f5XrzxBq0I3WRWmTFrFts7o+c9EKCisU8fKgbr1+e7Eu0CWkeOqF56qeqrr6ZNP/30\n8J+k1FQqb6pXT4wefuhQfme97k1+0DUrvFzOcqGamc06yjmb7BgzIjvGxLB4GLmL3N5RVpPN2YOt\nWzlYrl9fwyouChakKcSYMbpn+yFdsID+y1ddFfYQrVGDh9x+O5UYd9zBmbMePajk6NmT2513ciDh\nPtYdB+P001VPOYWuHRUqpI2D0aoVzUzdx5Yurf8qD8aN49J5b7yhOmiQ6gMP0E2kZUuWUasWyzzt\nNFpXhLuWESNoUu5WsCxbxoFQ8eK8zp9+YsfRvaLszTenL6t1aypCFi5U3bvdWUexQwcNeH1Xgm0v\nwgZ6/31bwjWbkNtlcyxyecECDtjGjvXfP21aZLP/o0cpI+rV44A/EvPmqV5ySdq0QICz3bHOyqty\nsDl6NJUGRYuynIkTww+iR42iUjO4v0kTKmn8+OMPuq+UKEFLrXBWH336UBFy//2qjz/OwWO3bhxs\n//ln7NcU5Mcf/V1DwvHVV+Hv09y56dvdzbRpnC3fvTvj81SqRBc/PwIBKog//TTjcryxGTLizTc5\nuP7rr/T7Lr44rXIqKYnK6HjjqAwbxpgk8+aFdzeKR5mRmsq6jhgRPs/WraovvcRvW+XKVNxkZMXg\nR+/efC/c1ompqYwllVG7vPsuFfbz58d+3iDDh7OMVauiy09LyfByOcuFamY26yhnDUlJSTpnzpxM\nD6azY8yIpKQkrV27p+bL963Wrt0zW8TEOB7xMBJ1D43Yye0dZTXZnHX8/DN9NBo25CDZZ/Cckr+A\nbrqotY5sM1K7ddivl17K2cRwA/333qPC4NNPae3w8cec4fzoI24ffshxeN++qg0bspPoV07FivTD\nnT2bLiZ//hmy3khJYYf6ySep5ChcWPW666iDWbUq1OHq1YsdKT+OHmWHcdIk+qD36UOlxtlnh+qQ\nLx8HH8HfbduyXsWKUZ/w8MO0wFizhh33N97gDGLdujQx986iJiWFb7fSpak/uqNDkn7V+nPdfEEL\nTc3rHzQ1kC8fAwz07x95yto4ruR22RyrXP71Vyoyxo1Lv2/6dA5M/UhKoqvJDTdEZ3mwfj0HZl6S\nk+n19vHHMVU7DX//TXlw6aUM7Pjgg7TEcg/iAgEO9IMBR8uUST8rvWYNFbYlSzJ+R0ZxC7p0ocxc\nuZLnPXKE53n2WcqcZcviu56jR6mYida0v00byms/duzgYDsS992X3t3Gj4oVIwfNnDmTrnpHj0Yu\n55JL6BoYDcOHU9ntp0jatUu1SJH0A/Pzz6e7Ujw0aECl3tq1vJZIuJUZXbumD3rq5rPP6L7odXtM\nTua+pk353erRg0qseALOqjLWTZUq6ZVSu3bxGxgN48bx2zZ+fOzn/+ILvgsrVkR/TOvWkeVylgvV\nzGzWUT7xHA/riewUM4JKjO6aN+9rWrt292xUp8QoVtz1MsuOrCG3d5TVZPOJZ+pU1XLlNBBmRH0U\n+fT7PP/Re4t8ps0u2audO9OCoX9/dpCKFg1lL1yYnbzx47nPS2oqO2QjRlBx0agRj69cmbNU5cqx\nnEqVOPg4eJCdYO8s3JYtVIJ06MCBQe3aLG/KFH/XlNRU1WrVqNwYM4bmsHffzXNWrUqrjsqVaeLe\nqxeD7H3zDQcL3oHUvfdSQRFk50763j77LDv9QcVGkyas0x13qNasyXo++GBodi0lhWlbt1J54m72\nsmU5iBs0iLNmHTuqNr94l/Yp/KHOyHO1psJfyRQAqHlJdNh7I0Nyu2yORy4H41N4By2zZtFiy8uf\nf9Ll7M47o3MfUA3NkPuxciUHTX7++rHy+++0iqhUifLm5ZdDyorgeZYv5zsdHFAuW8aYA6VL813e\ntSu6c91wQ6jNGjXiak1BRoxgm37/fXzXccMNacsLx+7dlM179/rvDwTY7pG6gAcOUJGbUbDXs87K\nOBZJ06aU+ZEoXTq6wJaTJlHGhhsQf/21f+DZHj1U//e/jMv3smgRr/HYMT4DxYtHd1xGyoz9+2nt\nElTcpKTQCqhzZ36DWrTgvc5sYM21a/nM/fpr+n2//85va7TMn8/vfLgJBT9GjeIxsSrvuLpYeLmc\n5UI1M5t1lE88ibYKSGRcjESUlWh3kkTEsUikYkXVVjrJanJ7R1lNNp84Vq1SvfVWX6uLVMmjm86+\nWhf0+kCXz/zn347q2rUcrJ9/PmexOndmh758ec76BGd59u1jUYsW0cXk4Yc5qC9WjIOAtm0Zq3Ly\nZM4O3X13yAVj9uy0s0oDB/L4SZM4uAmGjChXjq4jTz9NpcNjj7Gcm2+mz/Ell3A8X7Ikg+SFs3qo\nWpX1uftulvHKK+wsjx7NGePFi9nB3rcvtLSi3+yym507Wd+gYuOss9Kf94Yb0i4HeOQIlSslStAK\no/pFlDcAACAASURBVHNndrQvuYSm5Vu2hNp22eQ/ddEdb+mWig18LypwyinUtgQPMo47uV02xyuX\n58/nAOjbb0NpP/2UNmiiKsVRpUp8Z2JZKSQQoFtZOKuN4cM5kA43GI+V1FRaBtxxB2VW8+Z0FejV\ni/Vv2JDX3KoVZdRLL0Ue6Ptx2WWhwIkjR9LSy81PP9Glzm91kIx44w3K0Yz48EPKxUjUqsUVmSIx\ndy7rGskt6Mwz6WoTidmz2b7h3BaSk+kCmNGzM2cOn8dwgWJV+S3wxn1QZZt07hy5fD969AgF3UxJ\n4fcolkCte/fyO1e6dFplxpNPUkm2dCm/kRUq0FXlzTf9XWTi4dAhhsMKt0rOjz/GHitk3Tq+k/37\nZ2wZ8vXXfH5iVUQGAgzAbUoMI2Ecr1VFsktcjERaTyTquo6H4shWOsk6cntHWU02H39WrFC9+WZf\n5cWBAiUY0cw1nbVlCwfR9epxUH3vvRzcv/IKZ4gefjgUAC81lR3sM84IFdu6NQcm33/Pwb0qO3Bj\nxnB2rVw5KiqCs5opKZzZHDqUnflIyodWregr/uCDDIb39tsctEycSN/j1at5zqNHGavisccYyOzK\nK0PlXHwxzZ7ffJNlPPQQ/fFbt+YsaJ06VEIULhxeGVKkCLfChTk7edppDEh6yil0Q4mkRHnoobRL\nPG7fzmuqUIGm3N9/HzJFv/JKXmOaAcHGjao9euihPOl9cQKnnMIeeUYjBCPT5HbZnBm5PG8eB44T\nJvD3nDl8t4P8+CNlSzRxD/w466zI7gh3383lM2NdRjUjDhygmfv116vmyRN69SpW5Ix9vDPg55wT\n8gw7coSDOG8cgDVrmO+RR2JzEVixglZnGbVF48aRl6pV5Ux/pACuQQYMoKwOd84zzuDKUxlx7bX+\nK0ypcpb+vPMiH79iBZ+ziRMj5zvnHP9B87JlsVkdqNKipXjxtDK7RIn4VutwKzOCz1qxYnz+BwyI\nPlZELPTqxVgj4e7d6NG8t7Hy999UfnTsGH5FlG++4bO/eHHs5QfdnUyJYSSURFpPZMe4GIlYUeR4\nBAhNlNvNnDlzdNu2bTp37lxTYGQBub2jrCabjx/LlzNYpI/y4ujljXTb++O1dGnOvPz1Fwf7V13F\nwXP37vQ6OXaMLhs1arBD+dtv7Nz88kva5UYBDuC9kfD/+Yczk5UqcRAzdCg7i8OGMQ7FlVdyVtVv\nsP/FF1wkpXt31qtcOSoM6tThAKV/f7qg/PQTOzDeTpc3JsbRo5xRffRRllGyJGe1Pvss/Kzh0aOs\nizs2RnC78EIGJf3wQ17TgQPsnB05wuNSUjjYCNareXPVfv3oLnLOOVTKDBjAWbVAIBSwsEEDmvEe\nOcLZ7E6d2HFt1ozn2rWLA56yZQJ69J3/00M1L0pXuUD+/GyAWNaPNGIit8vmzMrluXOpyPjuu7TB\nOEeNYvqUKfGXfdFFkWMVHD5MZeXgwfGfIxKBAN/l4CuX0TKVGVGqVEjhq0o3lgceSJ/vn38oC9u1\ni20llgoV/Jc0DbJlC2VcuFWjgtx/P4MVZ8Thw5Sxn3ziv79CheiMxubP54Ddr33HjUu/So2bTZto\n8ZHRcq1//MHn0U8xlJJCZXUssZQHD+ZA3U21avEF1gyyd2/oWWvXLjHL7/rx+ef8NkVapSeeZW2D\nHDxIa5/Gjek642bsWCqcFi6Mr+yff2YsG1NiGAnl+MTFmKDVqnXN9PKomY0dkcgVRRIVxyKRbikW\nCyPrye0dZTXZnHiWLVNt3179NAOrq7fQ1Hns/aemhnYVK8bB8rffhsx3N2ygdULVquwwLl1Ky4aq\nVTlbEjx28GAO2n/8kQMHVc6kdOvG/fnyseN91VXsEFatytgW/fpxYF6oEC0gxoxh52zrVios/EhK\nYidn5EhaUXTpQuVIqVIsp0oVDpauvz5Uv0WLOGu7d2/ajuqWLSET6mLFWPf//pedoWAncft2dnBV\n2ZH+9FMqL0qW5KzkgAFpA342aUJLlZEj6YoTVGAcPkyrjWDHLbj0Xb9+VPDUqEFT4VWrqJgpV44m\nyUET4YMHaWbbvn3amCSBAAs7PO57XVsmvatJIH9+2pJHmrY24iK3y+ZEyOWgKf8zz/D9ev11zsLH\nM9Pq5rrrqByJxIYNHBRFciOIh127OBN9ySUMMlq/PhWh8ZKaSsstd0yQP/6gjPFzmTl8mLK6fv2M\nV3IJ0rUrgy6H45VXohuYDh5MK7ZoWLKEFgR+RmHly1POR0OLFv5xKd54g1aCfuzcyVVI3LGMwvHx\nx3RJDEeTJhlbcgRJTaUSYPbstOmXXkqlXrwsWMBvwq+/8r43axadJUssrFoVXTyZZ57hBEK8pKRw\n1ZNatULPxvjxfFcXLIi/3GHDOClhSgwjoSTavWHbtm1arVobzZv3qywPypnYVU4yH8ciO7ulGPGR\n2zvKarI5cSxZwhG1j/Li+wItdd7bjNKVkkIXDHeWAwdCxRw4QGuBYHCxAQNotluxIk2ZH3yQM2m3\n3562E71nT/pTFyrEgfcLL9CyY9cumvjeeSdNbrt1Sz+gSUnhsd98Q9eKL76gRcVzz1FB0L07L7NJ\nE/ruVqqUdmDv3YLuIUWKcLBQogQVKRdfzM5ghw68Fq8rC01TnZ6Pi0CACpv27UPBO9ev94+LUawY\nVzIIlvPDD+y8u5UpgQA7uL17s3Nfty47iW3asFP5xhtpo/Tv2JG2nt99F1JmTHpois7Ld0W6Rgjk\ny8eGW78+IY+akftlMwD94APGi/nkEw7Uhw1joMmRI2lRMXo0lY/jxtF1ZOJEvrNTp/JZnzmT1lTB\nR7FmzcR4OnXpEn6W38348ZyNd1s5ZIZ58yhv+vQJKXvnzaM8TE6Or8xwgR9btqSS1Y9AgIFDq1Sh\nK15GDB3KGfxwXHAB71dGjB3L2D7R8txzlH9eK4dy5dKv6BKOhQvZvl7Lk969/eNYJCXRFfLxx6Mr\nv1MnriYVjv796f4YDZMnU357rQKjUbqFIxDgBEDwWTh2jO1apgzfyUS4TO3fT6VCuOfNzQMP0N00\ns7z+Ot/N3r15LfGuAhPkySd5z02JYSQUt3tD7do9M+1Wkp2WIk2U60Z2uqYgVBZ11fz5J5glRhaS\n2zvKarI58yxezBGvzwh+7uk3atfzF+rmzSHlRXBFEIADijPPDC0jOGpUaF/p0hxUP/AAZ1QXLmRw\nvnr12HFX5azg2LGcASlWTNMMrN0muKmpHOQ0a8Yyn36aVgaBAM1+v/6aypLmzf1dNwAqKq65hh3K\nL7/kQGnBAo7Ld+9Ob2Lbs2d6f+pjx+ibu2YNTZUnT2abPPwwXVsixbKoWJEDh/HjQx3wTZuo2ClV\nSvXGGxk7xN2p/OsvDuz8yqtShdfbsyeDnn7xBWeNv/ySniBlyoSCmhYrpjptGsv86CMOcFasCJV1\n/vls30BAdfGigHYuP03Xlr8q3UkDefNSc2SrmWSa3C6bAWiPHlTw3XYbFQcdO/Jdv+kmDorbtOFz\n36IFrZ+uu47PdNOmNBlv2DBtPJpRoxLT9n37crWQaOjfn3XKjAl+IMBBV5ky/jEhOnemlVo8hFuC\nc+JEus1EGqR+9hnrFJQN4fjzT8pVvzZYuZJKgmjaZ9kyKqKi5dgxKoe9lhSnn846RUvr1uldg1q2\nTB/D4/BhPns9e0Y3uA8E+D3csCF8nrFj6UoZDTfe6B98tWNHKgDj4auvqBjx3p8lSyj3W7fOXFDP\nQICTFV26RNdmt95KpVgiCCr4E6EU6dKFVjWmxDASTjAuRu3a3RPiepHIYJqZLScRMTGy2zUFy8mb\n9yutVq1Npq7NyBy5vaOsJpvjI+iPcOON6jdC3tOkjV5fYbH27s0ZrGHDVM89lzElAComgrP7Tz+d\nNkgdwEH0jBnsOP3zD4Nknn46Z2qOHOFsa7du7Bg3akRT5Z072Rnp1StUzaQkdmDPOYeWDy+8wIHM\nf//LAU/p0uxEtmjBmZQJE+jCcd117DyuXUsXl1dfpfVGw4Y0Oy1cmB38W2/lcSNHUhHjtijp2TOt\nCfWePVS+fPppyA2kZk3G5KhUiQqSBx5gbJCgxcRTT/G8PXumbZ8SJUL1HjSI5x84kBYr559PRYN7\n5vCyy3gdQReb4Fa5Mk2Z+/alRUi9emyT005jm4VTqkyaFGrfoOdQ0aI8fvx4XmvrGwN6d43peqh+\no3QFBPLmDYW9T3T0w5OE3C6bEyWX33+fpv3jxnHAHc2Mf0a8+CKVh9Fw7Bhl1KBB8Z1r9+6Q+0i4\nwe7WrbTKijQYDoc7Xoib1FQqOufPj3z8zJmUiUOGRM5Xq5Z/WY8/TvkTDdGuCOJm9Woqed0xIcqW\njW5p1CBLllDeut1ratfmJzBISgplYdu20SusVqxIu2KUH9u3U95nFEw1kgtQMJB0rBw6xPqFe2cO\nH6aSrlw5Wi7Gw5Ah/A6GW+3HS7Nmoe9PZpg8mfLglls4QZDZYcYVV/BdMCWG8S/BwI6JmIVPdPDK\nRAQLzWw5iYyJkag4Foko53i4kiTyWTqZyO0dZTXZHDtDh9L+2Gd0G2jbVr9+YomWLk2z788+42D4\nyis5UxFMD/L77+xIBIuYMCGk3EhJoRtHcIWSMWOozChThn65gwen92teupTLnG7YQAVDsNzixakE\nKVOGS5Y+8QQHNVu3+neI775b9a23wjdBUCExZAgVDFwfPrrtsstoDj5iRCggZzi6dQuZ2B45wqa/\n8EIOyh59lL8HDKACpFQpXuMpp4TOdfvtnOksXDgUNG/NGs7sFSjAGeK6dTkT2qcP3UoCASonli+n\nQuKtt9j+7mvo2TPkE+2eJb7zTrbFRRdRCfTyy7x/816aSf8b7/OSJw8zTJ4c+Zkz0pHbZXMi5PKk\nSRxgBQ1/Zs3iczpzZubKHTKE1iHRsn0737FYH/Og+0jv3uGX+gzyzDORXTbC8d13VNr68eKLlEEZ\n8fvvtOZ47LHwg+0+fULLfgYJBDhIdisDMqJ06dgUEKqUYZddFor7UaZM9PE8grRvz9gdqqHlNN0x\nhnr1oojLKDipm2iXn61YMbR6TDgee4zPiR+DBkXvkuLmpZc4T5ERP//M4KFduqQPmBmJpUt5P6Nx\nSQpSt27mYleo0oqydGkG5ValJeKFF8bvkqVKObNlS2S5nOVCNTObdZRjI9GBHRO9akailAeZKSeR\nLilZfS1+ZWXHpXFPNnJ7R1lNNkfPkSMc/fqNzNu314PzlmrXrrS46N+fnZqGDTmQ6NWLA+8VK1jU\n77/TBLp0aXa+GzRIuy787NnsrJx6Kk0+K1Tg7xdeCIVVSE3l7MmcOSFLhHCKg6AryN1309qhb1/W\n8YknaAnywgu0tnjzTcaUCB7XsSMj4nvjYFSsmD7GRb16rGu9etzvV49TT6X1Q7FitD4pXpyd+Isu\nohly+/bs1PbrxzoB/8/eeYdXUTVhfBUQEGkpBJASepeOFOm9iwpIE5UmoAiIgkoVKSIYEEE6HyBN\nikgRFQRF6b1JrxJ6gCRA6t3z/fHzcHZvbr83kMTM89xHubl79uzZs7Mz77wzw5hG40rXccJatwa4\nGDwY40mmxqxaBbARHGw+97Rpip2h60TO8uUjEvXbbzBKihfnuI8+wrGwBnjefpv1++gjon7vvKNq\nDGzbxn0aMYL0nLJlMQwHDuT7oUOFiN+6jQu1BjM0jcHc6d34H5eUrpu91cuysKN1kcMtW3BipQPj\niaxb57gzhS35/XdARlcKIuo6IG1goOsR7ocPATzcBWgWLUrYzULKzZvoqLAw5+PcvIkeb9/etiO/\nfj0pPkbZvh2d4w6zokoV94ulWizo0bFj+XdAgPspEEePgrdGRqp1kTJsGDrcUVcNW9KyJe8uZ9K2\nrePirdHR7C17QMeUKa4XRJUiW4aePu3a7+/fB+zOm9e1zj/h4QQ43E1zyZ3bu7o2v/3G/f/jD/Wd\nrvOOb9HCs7Sv+/d5t1Os3L5efuJK1ZtPqqHsniRWNN4XDIqkUkPCF85+UrkWKYnRVjW1SKjnktIN\nZZGqm12TI0fwSK0dz4YNhThyRJw6RSqDphGRqFOHdJBLlzA627TBaDlxgkJmgYGABdLo++036Lmh\noaRDGH3cGjWoGTF8ONHPunUBDZ55xlwHw/qzciUG4qJF5KrOnAlQEhICQ2DsWIpiVq8uhI0usDY/\nFSpgqH33HWCKI5+7Vy/SSR4+JNrZuzcGXoECACM//URe9tmzVH3/9VfqUcyYAYBhbKEoP507M/9t\n2zCmz5xhrOzZYZ5YFyfT9YRFRzt0UF1gHjyAzu3vD4gTG4vz9/HHzLNoUQz048eJsGXNqoz/mzcB\nUPz8VDfVq1cpAte0KWlAP/wA6CProNSr9+/xf/3FH6wvsF691LasLkpK183e6OXQUJ41ew7ipk3o\noB07PBt/1y7ASndl/HgcfUesijt3ACgdpY/Yk+XLbdcvcCSTJ6ND7EmnTq7XDIiKAsSoXj1hMdPI\nSBhhxrSBvn0Bsd2R9u2dty21JZcuqe4X1i1lXZXXX0c3797Nu0AIAIIiRdwHReLi0KeuzGPSJCH6\n9LH/98WLSbOwJ46AKnvSsyfvR3dl0yaevT597KeI6Dr30RUWivVx6dK53t7XWrZuZQ9s3Zrwb7Gx\nmDN9+7qf4XjkCGCcEI718hNXqt58Ug1l98TXBTmNY/quLoZ3rVZ9AUJ4WxPDl7U5vC3EmRiMCZni\nUrp0T58xO/5LktINZZGqmx1LXJwQ48bRKtPgbD54LlB8XP4noesUhDT6oDLCsWkT0aEJE2if1rEj\njsOYMeaIVXQ0aQu2QIOCBQEtunYFxJg7F+c/JITolDGrpWpVjP45c3DUreXePaKwX36JAVWoEEb1\nSy9BdV60CJAlPh66atmyHBcTw/erVwN8vPEGwEzmzFxPrVoYfF99xdzOnwfckCCGUXQdCu2YMTgz\nWbIA8Mydm5AiHRMDUHP9OrUx5HUGB+PgPPsshlOnTrAfWrUCUKhRAwBHOjLFisGqOHIEY1syQvz8\niD5t2sT9adyY3OQtW9Rc9+yBSfH88+r8Gzdyz6TcugXo4efHOpw5g/FboADFWHWd1B1jys2ff+Lw\nfOA/X8RleM500/XMmcmhSa2V4VBSum72VC9HRoK3yqi7Pfn5Z55fWSTYHTl/HtaDu2KxEH3v39/2\n33fv5vl2JX3ElshOEo66XVjLsGGwsOzJX3+hN1wlSVkspDYUKpSQGSCZeULgNAYGut+w6OOP3Qc+\npMybhx567jn0lrty4gRznj2b1J3FiylM7UkH6R071DvGmfz1l2ofbkuqV3fM2HGUMmRLDh+GdXLn\njuvHGOXuXd6ThQvbZs1Mm8a1uwtG3LvHvfNE/vgDAMNRTZx79wimfPWVe2Mbu+akghip8kh8WZBT\niMTonuF9q1VvQAhfOf2+AkK8LcTpa8aEcX1Kl+7mda2O/6KkdENZpOpm+3LqVIK+n3r69EJMnChi\no+JNEf5s2RQ922LBSc+VC2OlQwcMv7FjqbVgseBUf/klxpc1cLFjB5FUo9EcF4ez3a0bUbTq1UkH\nqVMHZ+LHH9VvL1xgnLVriZq9/jpGeKZMHNevH9Tc48ftRyzv3AGksPajdR0n6dIlInqLF0PTrVgx\n4XXIT2Agzv2wYRhH8+dj9PzxBwbV559DTc+WDXBi1Cic/9OncWikxMQw77JlYb1Mn67qcvTpQ50Q\nYz0MTVPgg1xLXaewaFAQztSwYZwzRw6YIgMGYJR36GAudAZN1vypXZt7ePAgf799G+fFz48I24QJ\nGI2y4J+uJwSrWrQQQkRHi9gPBot4zaq6a9OmCYuepMojSe66WdO0pzVNO6Bp2lo7f3d7TeLjcSa6\ndXMNA9uwgb2/d69754mMBET0RO7cAeBbsUJ950n6iD3Zv5/n+949137ft6/j+j+6Djtu0yb35jF3\nLmtrTG/57DNVxHPDBl4v7sqsWdT68UR0Hb2naZ63ve3cmXdJmTJc39Gjno1jXAtn8vAhBU1tOf0H\nD6KzZb0PW7JzJ8C7K6LrZPwZ0zs9lR9+gIU3eLACvvfu5b3gapqKUc6ccV4I1Zb8+SfndGUPX7rE\ne9Od53DSJOwKIRzr5SeudL35pBrKnomvC3L6it2RFOpRJIU5+GoeQvi+rWpqGon3ktwNZVc+qbrZ\nSiwWISZPFnrGjMLkVFauLMTff4vQUOpDyK+NL/u7d2EEZMtGRDAwECDh0CHSOdq1w5jInVsd37gx\ngEJYmJlea7GQNtGnD8ZipUo4zefOQYH29ycqJymrERGyxZntT8aMHJMrF8BHkSJUzC9fHmO6Vi2A\ngOfMxADx4oukVQQGQmV99lmMnDJlOKZ1a4w+awDB1sffH8e9ZUsYIKVKMZbs2mLrM2AARqixnsVv\nv+Gs5cgBC0NSmWNjiaLNm8d6Gcf5/ntVRDQsjBIUOXNSHPTMGYCnMmXMLWZliskffwCchIVxTuO4\nefNyT9u1w8HYu5cUFT8/QKP06YXo3l3lyes6900eL2sERP2+U1x+tqhpcD1bNigyqayMBJLcdbOm\naQM0TfvOVyCGrgMoNmigigO7ImvXsqf373fvXBkyuN5RwVr27eOZOXUKUOPll3lePekuYku6dXPd\nQX79dcBYRzJ9OjrfXdm8Gb0pW2Lu3AkTQggYZNatT12RTZsS1taQEhmJc/z77zAEJ00iFbFjRxh9\nxYqZdVemTOjAwoV5D9SsCaDcvj1r2L8/tXy++AJAfuFC/l8e725tDqPUrg1zz1WpWDFhfRchAIyd\nMVNOn+YaXZG1a9H1jkARd+TGDdiGpUvz3ipQwPNWxzt2uA7GSNm+nT3oTlHdffs4xllnHil9+mCT\nCOFYLz9xpevNJ9VQ9kwSo8ijL9gdSaEeRVKYg6/mkRhtVX29d/6LktwNZVc+qbrZIOfPYyEaHcl0\n6YQ++nOx/Y+4R+00NY00g0aNVOu2w4fNBmL58hjIBQoQGezUiYhf794YCB06kMZglM6dxSPHXQIF\nY8ao7gKSgluvHtTeBw8wiF591XzuihUVJdRiwYEOD4dCHBoKW2P/fozzzp2hPtsCENq25ZwnTpDW\nISneuo6hM3w4pR0CAkh5WbUKMEUIczrJjRsAC61bw/CoXRsD++xZde3R0ZzjxAnOaWs+ZcrQLeCb\nb3AIDhyA5ZEtG0a3LJxqXM82bcxjdOyIoRodrXK7a9dWFeKPH7ddJFXe5/h4BULky4cT0L8/Rn6n\nTtzrggW5J0UNmET27Ip2/dZbrJf827x5rOnD2w/EynwDhEWzKlLy8svutxNI4ZKcdbOmaXk0Tduk\naVodX4EYISGAgq4yEIyyejX79uBB14/Jl8+zNAIp336rtvf775tTtLwVWZTR2FbUnjRsSGqNI4mI\nQMd4Qow6fhxG2YgRgEvZsvGaMdbXcUUsFgDsQYPUO6JDB15XRYuiVzNmRPe89BK6+/33qUOycCHg\nx/HjgEZyzcPDeR+cPIk+37qVekFLlgDITpoEM27QIEDfTp3MXcX9/XkHfvIJuv/iRdfw1vv3AVDc\n6YbRp0/C2iR377Kezrq13L6N/nUmMTGspTvgiisiC2fKdfNUfvxRpW24Ijt3Ymt40pJ17VoCHq4A\ni02asG+EcKyXn7ji9eaTaih7LhEREWLnzp0iNDTUJ20yfVmE0hctUpN7TQxftFZNjFQSXxcI/S9K\ncjaUXf2k6maBlTFzptCtaAiWMi+INaMOiQoV1NcVKijj/dgx1Wvd6HOmSQPjYPJkfhMeDhgRGIgT\nLcELXcfQnj7dzGQYOtTcdu3WLYyg3LlVOkaHDhjCFSpQmDNjRgrb6TrAhtHYuX+fKNaUKbSBK1kS\n9kOVKoxbsybnLVmSwH9sLJHH5cvVGNHRGEO9ewOwFCmCcbttm+20FFs1MYSAUbFuHRG0nDk555Ah\nABfGcYYMIdUkIgIHLSgIw7dFC+ZcvjzX/MILMDuCgriG2rUpEmqxMP7Zs4z79dfiEZhQqRL/fest\nDNbJkwFiBg9W0WVdByQx3ldj5HHlSo4ZOBDAImdOmDKRkdzzyZOZqzUY0qYNv5Wgkvy+RQsKgz58\nKMSAin+IG5kKmA7U/f09D+GlQEnOulnTtBWappXTNK22L0CMNWvQDd7UhF2xgmfoyBHXfl+xouuR\nWlsyZ47a3p9+6nl6gz2ZMOHfdC0nUrFiwoLAtqR3b8e1MxzJ9evo2s6dyRJr0YL/2pLYWIDcVatg\nGHTsCFD87LMARxkysGbNmqGrN2/mfXL3ruuELU1Dd3lK8JL1PkJDcXaHD+d9ExTEuI0bc09XryY9\nwfo8P//MO8cdWbAAYMYokyfz7nUm8fG8k50VfA0Jca92hjORrMFatczvgCFDPGtENWeOay1/heDZ\nDAwkbclT+fprWCnOaoMUKaJsmlQQI1VsSlJs4emLOXkDhPjq/N4AEL4vlpp0WuCmSvI2lF39/Od1\n85UrCVqn6mnSiC3VPxW5A2JE48YYNn5+vNSl8WGxYPgbjZOPPsLRlXRuI3jRqRPG6cWLABFdupgL\nRspPoUIqcmKxUETNz48ilq+8gvNdqxZshPHjoYL362cuFnr0qHjkMJcqhbNfqRLRtNmzibjevAk1\n+PnniUb++qvZ2PzgA0CKuXOVEZYuHSyQESMAXsaM4TfWLVjz51fXU7AgjkKDBhihPXsCFowfD8gx\naBApK0Ynf/VqjHQjzTs2ln+XKwfwMW8e17xnD+N07646xBg/t2+rMUJDSfsoUIBI41df4VwEBnLe\nvHnJr/7hB7UWY8aYt8eLLypa87FjGHDvvksk87XXVDFXCYbExrIn+vc3z0uml9y8qQqO5sjBNT58\nKESLOpFiU5HeCS+ofXvzRf1HJbnqZk3Tmmua9s2//19H07R1dn7n0jrIHHtXHHFnsmwZAJs1o8mW\nNGlC21B3JSYGQKB4cZ6ZZ57BMc+enS4h3rSPNEp0NCkEzmj0wcGuFdc8cgSgyJ1UHaM8eGBmu7cT\n7QAAIABJREFUzM2eTZrhkiXU5nn1VfRahgzMu1Ur9OSCBdxbacZNnar0qqeSOTNRdlvpGc4kLo57\nZos5o+u8Tn/8kWtq1gydFhjIfhk6FN0aHMz/uyMnTwLiGM9VtKjrrYKdtcq9fZt5GoMHnoqu8z59\n6SXm2KuXAp+uXiV9s1Mn94vXjh0rxIcfOv/d3r2su2RHeCPvv8973d5c4+NJmZTvs1QQI1VsSmJE\n6r1tt/qka1L4Kh0lKdTD8AWbw9dzSpXkayi78/nP6mZdF2LRIuoOGJzEfzIXF/Uz7xb9+mGI1K1L\nJw1JTb5zB+fX2rc0poaEh8MiCAjAeR8xAuZBoUIYSu3aYbQGBqrjR49mSrNnE6nbt888/osvEim6\ncgWDukYNynTIXPabN3Hma9dWXUuqVePvRgPk8mXYA9mzY0hJCnl0NMaPBASsr0/TYELUqZMQjJg5\nE5LApk3M+9w5rmHYMPKRd+8m+rZ0qW3ww6p+qunTrBl0aFmIVBqIDRviVIwfTxRSSlQU5zOOUaQI\nY0ig5+efuRevvcZ6njtH7ZKyZdUx/v7MPV8+tYZGSnCDBhjQd+8ShaxZk4jr0aPc3xw5mJuRMi1B\nr3r1AFyk43n9Ok7dyy/jyLzyCmBXgwZCjK23Seh585ouSA8KMldz/Q9KctXNmqaN1TTtsqZp5zVN\nu6Zp2n1N0xba+J0YMWLEo89WG30RL17kGVizxtvVVLJ4MQ6udaqbtbzxBmCsO3LtGo5dq1bqWTx6\nVBUd/PBDANuuXZ2f3xVZs4bnyVF9g8yZXU/BqVEDhoSncuSIWS+VLIkOGj4c3Xj4sHIG7Unbtup4\nVx14a3nuOVLi3G3xKQTpBXnzuv57XRfin3+4F8OGsYZy/jNnmsF3R2Kx8M6SqSObNpFe6CqbpGBB\nlZZpS957z3EbV1dE1wlAVKuGPl+8mPnmycO1ly/P7x48QNfXq+de+teAAQDkjmT/ft49vtIJ8fGk\nEHXtanutly7dKjJnVnoqFcRIFZviq7am1uMl57oYERERonTpniJt2nWidOmeT7QwqC/qYfiKZZPa\nUtV3klwNZXc+/0ndfPFigmIJFu0pMS/7QPHtVw9FRARgQkAAbIX4eFILunc3p33I3NlJk3C2w8Nh\nMMi/p00LoNC6NakcR44QGaxeHSOnXj2MdmNE8+RJs6E7bpzKS71/H0M/IAAw4NYtKKYNG5Ja8vrr\nRLqiovidkf586BB0Zj8/mAM//IAR2aMHKSkyNeOtt6jv0LEj51+2DAOsTRvAgAwZ+F3Hjsxt3TrS\na6zpsbbSSeLiYKN8/z2G+yuvqDHLlGHMsWOZm2QmGNfCuiXs0qWk1WTPDjAji2QKQYrJd99RBV8e\nnyED17F8OZG3YcMAK0JClKNz4gQ53sbzGum0s2ZxT9u0IaJYvz6F9IYPx1iVLSuPHYM0kSMH63Tr\nFgyQ334Tj1rz5sgB7TomhghdsWLcs8GDYXQsXMj4PdrdE5a33jZPStPwJL3JIUjGkhJ0szfpJPfu\nwbIKCXF76ZzKggUwtKxbhBrlgw/Qja7Krl08HyNHJtQV8+cD6kVG8qyNHs2z0aaNdwwT2WnCXgHN\n2Fh0tKuO8HffASy6I9evc4/Kl+f6mzTh0fWkq4eusy516/IOqVfP/TGEAIz++2/0prttPjdvBij3\nVCSr7c030f/ZsvHO2b7d+X1o3Fg5523aCDFjhuvnrVzZfvrT33/zTvWk7awQzHv9elh9pUrxzoyP\n59OwIekjM2eaU0Hi43kPlykDyOOKdO7sGDg8cID94W2HH2u5fx8m56hRCf8m02WkpIIYKUhkXQJf\nOZG+amsqRNKqi+EpEMGx3USaNJNE6dLdPEpH8QYEkWMklXoYidlS1dd7OblISjCUnX3+c7q5Xz+h\nP21uZ3n12YJiz6Rtj+iwTZvi2O/fj+FarRoGaNOmRO46dzY7tmfPmoYTwcEY+Hv3mtkDErxYsIDU\njmLFlKNw9SrMCCMAYpQ1a2AFtGpFNKZZMyGyZMEQNHbekPLLL0S91q/HQJPjFi4MYFG6NEbV1Knm\n7h9S/v4bgMFaHjyAbfG//+HING6Mw5M5M4yKN94wgwCDBgGulC3LeQsVIgo1dCjG3vHjCSna4eHk\ngMuWriEhRP8qVFDsj7Ztia5lzsx6y/NVqcK6Z8mi8uwvXoQZkisXBnOjRgr0+eIL1qlcOQVACMG5\njfd00CBFR96+nQj4yJGASAUK4Fh88AHsmjlz1DjHjwO0yHGMQMvVq4AtL7wAIyY0lDWfMIEaIUWL\ncr/LlWPPxf+4Xug5c5ompj/1FLSf/5ikBN3sKYgRG4sz3bdv4jWumTcPnWcvev3FFzwTrsjcuTwX\njshDXbuSYiev5/59gN+8eQEiNm/27FqPHuXctjKwrl/nb65KdDS/d9Ye8+FDdFvz5jjpXbsy//h4\ngG9NAyh2V06eJFVv5EhSFwsWpHOSu/Lss+jVBg2Ypzsyc6YQb7/t/jmFIHVGqq5Zs/ju+nX0XdGi\nAFmTJtmvjzJ8OIDA5cuA8e4UBm3c2H7BzmbNEhYNdUV0nT1dsSJgxIoVZoBu5EgAn7g4UqhkBw/j\n8V9+yR53pRZN48b2U7gOHQL4XrnS/etwRa5dY+8tWmT+3rrlb5IFMTRNS69p2m5N0w5qmnZU07QR\n/36fXdO0XzVNO6Vp2i+apmW1c7y3a5isJDHqEiTFdqveXqc3QIQv0km8BUF8VZPDF8yJxEoj+S/X\n2EgOhnKqbnZRdD1B7QuhaeJep95CREYKXQewCAzESPvwQ4yCBg2Img8YQL64jHLoOoZpmTLmIY1g\ngK5De61RA8BC0ktr1cKpvncPR/b999Xxb75J6kpgIIyKCxeIuGkajnnmzIplcOcOju++fTAiZs3C\ncGraNMFlPvqUKQNL4tNPSesICcEwXbSIa/v5Z4p1btvG7zdtwvhbvJg6HKNHsxZvvgnDpFYtxsyU\nyf455ScgADCjTh0iaW+/jeP/+ecY9UuWQMeV3T+MTktsLOCPbAu7dCnGYVgYANG4cTg7xvMNG6bA\nJl3HyMydG/aJLKgq02/SpeOYbt045vx5WBphYeZ0l08/5bvQUFJ8XnuNlJJ583AqcuXid716qbzx\na9fM8ypfXhUf1XUAocBAWCMXLgD0fPUVgNGAASo9qEsXIeJvhimajPHTs+djeIiSjiQH3ezNx55e\nlp0Omjf3XRtIezJrFg6WrZoR8+bhnDsSWf+iWDEYTo7k/n3SK4wAoBxj/nzA3ypVYGm5WxSxTx+i\n3tZy/DjjuiMffQTry1pkS+zu3WE4NGyITrVuQzt7NjUE2rRx77xCoKe7dEEPduzIuthrt+pIMmZk\nXgsX2i8wak8GD/YMM714ER1Xvjwgypgx5r/rOukxXbsCMLdtCxBvvNc//QRYPHQo6R/uSIcOvDOt\n5eefAfbdqU9hsfCuLFeOz+rVCffkpk28C65e5d/Vq9P9xZYsXcra/Pab4/NWqGCbTXLkCLaKsRB3\nYogsZP777+q7wYPNLW6TLIjB3LRn//1vGk3TdmmaVkXTtC80Tfvo3+8Ha5o23s6xvljDZCOJ4VD6\nCngwjudtu1Vvr9PbdBJvUjme5NyF8D1zAqbOGyJduvU+BRv+yzU2kouhnKqbnUh8PFaPwemLfzrt\no8qRN27ADtA0jHY/P4plnjxJVL9kSWpY3LyJwzp5sirGqGm8xC0WHPpZs2yDF/HxMDvy5cMRvnIF\n8CJ7dr7TNJx4KcbimPKTJg2skHLlMFrSpuW/5cvznfG3st7Gm29i/K1cidE6YwZRp9GjAQvefx/D\n21hc09GncmUAnjlzyA/fupUo0KVLFJ+TwEPPnjAmFi2CTaBprFnPnqzHypUY9BMmMI933iH9olEj\n8/kKFIDZISvdWywANi+9xN+mTUvIImnZ0jxGkyYYsBERAEe9e2NgLl2qitGFhHCvjMf17ct4uk7k\nWdPYC35+zCk0lChUmTI4erGxOBbGNJjQUNb3gw/YS8bxCxcGrLhzB0px48ZE9X76iWuTbV3/+EOB\nI61a/Vtlf8oUYXnKzCgSo0YlXmg+iUly0c2efjRNM9V6kTJuHM+7O1Fob+Tbb9FF1u1U161z7ADL\n+hctW7qe93/8OEDn4cMJ/2axoG8qVeIZXLDA9SKbt26hD60Llv75J86lO3LuHHOUOuf0acDS4GAA\n1gkTHLdiHTkSEDVbNufdMqylUyf07rZtvAfi4tAh9pxje5IhAwDp/fsABtLRdkVeew296Y7Ex1Mz\naPx43q/dupESaE/u3WPfVazI3hs1CvbF7dsAQIGB7tdM6duXwtxGiYtjL/3wg2tjyGLeL7zA3H78\n0ba6vXKFgIcEJSwWUiEddfn4/XfeG7aAFil58yZseXrsGOdy9554Kps3M08JSrZtq+wWCorb18tP\nXKk+moimPatp2j5N0yprmnZS07Sgf7/PqWnaSTvH+HAZk774GnAwjust8GAUXznintbq8BaI8KbF\nqi/O7Q1okBjMmjRpVojChdt4XTPFOO5/ucZGcjOUU3WzDYmKMpeF1zQR6x8kyma7KA4ehOos/1Ss\nGNGu+/eJzAwfjsG0ZAkARLduGJ9VqwIoVK2qCn4KQf62HKtoUQwSaaguXozxO2UKAEn27AAIPXqo\n4pFCcN4ZM0zTFa+9hvE7cybOw759OMdXryo2QfbsRLF++kkZ959/TiTfKLqOIfT990QV69fnmvLm\nJTo4ZgzRqVu3MJR/+QXne+5c5lunDucKCiLaOGgQ4MihQ+ZoVs+e5pzl+/cxADt04Hw1awIc2OpG\n8NVXGOw9eqg1yJ1btfBr0gQg6MMPiU7lyAEoI9M9atbkGk6fxtjUNKjxWbKwFVaswMAsXZqxjIbh\n+fPm1qhLl6oo24YN7Idhw7g+Pz/ozSNHModff+V3cXGAGcZ7KB25XbvUd1mycO+yZgUM2bMHECwg\nAKAlb17YL0LgtL75JsflyMGaN8t7WFiyZDWfqEePxA/RJwFJbrrZ3Y+maaJwYTPNfNky9oQjJzkx\nZOpUQDXjs7p7N4CCLdm9m+dtxAj3WRMLF6I77ZkZMjWvbl0c3KlTXavrMHky+srodK5ZA8jirsiu\nUtWqoZMGDKAegSv4YY8eOOilS7vXolbXWdPTpwE8c+Xi+wULAM/dwS7Tp1dr9uabpDS4KvbYAI5k\n7Fju14kT6PEFC0iPc0UOHACA8PMzMwzdlWHDErbInT6deTlbu/h4nr1SpQDx16+3f0xsLOCdkZ1w\n5oy5s4o9OXaM340dm3B8XQd8MoKXx4+zDxwBH4kh8+fDOrxxQ+2H776Taav29XJSUKpP/0tZjtA0\nbdy/3921+s0dO8f6fCGTuvgacJCSWGklns7P21odntbV8EUqi6f1LHwBGviyrWpiMn8So8ZGcpHk\nYiin6mY7EhaGR2tw8qJathUiKkpMm6a+Dg6m3Zw0HI4cgdlQrx6RzxdfxHn4/HOiQgEBRNwkQHHz\nJoCH0ZeUfmR8PI5+hgwKABg4EGO0dWsMnuvXFXiRLx+O9V9/cU7ZPUTKnTvmYp4dOmCM26pqv3Ur\nc5k5k3M2bIgx+PzznPuzzwA9btywvXydOpHqYC2SvbBhA+vz2mvmTit+fur/f/kF5/z0aYCRuDjm\nun49jru/P87QuHEq1/zdd1XBwogIISZOxPht0gRQQVa6ly38jOsuC69KGreuq5z8Hj1weuTatW1L\nJDZzZu6nBH+WLAGgkmPlzEkU2GLBEC9aFGLP2bOkjfj58fu0aZmr3EdxcWpeNWsqx+GPPwByGjVi\nXhMncv3BwazF8OGMJ6/NCAatXavG3LtXCBEeLu5Xb2BehObNE/LYU5gkF93s6UfTNLFoEbpm8WL0\nQWAgYOGTkJAQ0pxkEcLz5207ZvJZ86Y7Qrdu6DVnzuWuXeixoCDAV1vMFSmxsaSOrF1rnqux2KIz\nuX3brOc3bHAfL2zWjDn0758wpcKRnD+Pw6rrqq3lw4ecv0gR56kIRnnmGfW+2LoVQMVVECRbNvcK\nYO7Zgx67fBnWnATaGzd2fQwhuNZFi9Taz5rlXgrI5MkED6Tcvcu+sX6/GiU+nmevRAn08caNztfp\nww95TxnBuxUrXAfLQkNJuXznHfPeiozEhpDnl4DQwoWujetrGTpUpVm2awcj6PBhx3r5iSvVRxPR\ntCyapv2maVopa8NY07QwO8c4bReVEiU5pZV4Os6TanXqi1SUJ5VGI+fgi7aqicWW+C+mkWzdutWk\np5KboZyqmw1y6ZLQS5QQRufuStv+Qlgs4vZtnFeZ4mB0OseO5Xt/fxyIxo2hjV64gNNZqRIREF3H\nAHz9ddMpxKxZHHv+PIBD6dLqbwMHQrM+e5aoTs+eGCdG8ML4mI0aRUQ+PBwDrnlzajdUrEh6wpIl\nABSffUa06rXXcJaffdY8J+tP3rwYZlWqANS0akWOda9ejDtihLk4Z+/e5paodetiaOXLBwCQJg3X\nnCcPjrzxXA0aMN+CBQFw0qThmHz5oOXWqAEjwdY8jU5JdDRrW6iQKliq6+YWfpKpID9TpyqA5vp1\n7lXBgqT6XL+OUW2FcYnt2/lu5UoMUem0pEnDfFeu5L42acLa3b5NhLp3bzVGo0YY3StXkmoya5b6\nmyweumkTzt7MmfymVSsM2A0buM9+fuZOOLIQ3v376rvGjf+NWMfEiIu1upgvpFIl++hUMpTkrpvd\n/UhwGceAzwsvwORauhSn9cgR9vHjIt5MnIizEhrKPsyYUf0tJobaE67Uv3AmDx/yTLjafeLYMWpF\n+PmRo3/9uu3fbdyIvpfO75df2q5vYS3Xrqn2r927w77Ll+9fENFNKVsW1t369e51F5k/n3Q7KYUL\nq3VetAgw3FUgIl06Va/HYoHRcuCA8+PCwtDVrp4nMpL1/v57/v3yy8x1714i+O6KbFHbrx86Nl8+\n2BTyWhzJwoVm9od8n9mSuDjFCKpRA+aPK9f844/MyRrkGToU0N1VCQ/nvdmypcKija1tT50iEGEr\nwJAYYrFwTcePY/MsX05qjtRLrVoppmGyADGYpzZM07QPNE07YUVZPmHn9z5d1OQiySGtxBeMhidR\nm8Kb8/oujca7NfPlvfMVW0J2IgkNDfUZUyS5SnI0lFN1sxDi0CGh584tjE7dlhaUHz9/HkP7o48w\nlitU4IV8/Ljp52LQIGiguo4BGRgIRfT6dWpKFCuGQ2x02jdv5vSjR5vH6tdP9bf/9VciU5MnQyu2\nBV7I+hl16pjHMYIQlSqR9tCtG4DDp59CK5a/efllWBDNmqmc1ZgYnO6LFzH8d+7EmZ43DwDA2OXD\n3ic4mIKcixaxPvfu2aaMW6eTSLFYOOb4ca6/bVszc8P68/TTRHomTMBxu30bJ+6FF3AIli4155YP\nHGjuBqJpMC/mzgV82LABo/2NN5Sx+c8/3FPjMcYaAMuXA2i99ZaqRL98OXukYEFF+b98md8Yx5ER\n0qVL1XdDhmB4r1/PXti9m/sXFKS6BZw/z++MYw0ZgrPWtSuGdo8e1Ee4elUIoevi18ofmw7QCxWy\n314imUty1M3ufKRetljMe6B1a56HOnXI5w8MRAf5+wNM1q4NmNmnD/T5adOIBP/xB3UEbt92P8XD\nKOPH49xdvaoKRF6/jhMtixX7Qk6e5JlzxbmWcuECYG727ICK1vUDhEAfTpzI/w8Z4pgN8c8/MK6y\nZ4cdZkynGTvWsy4dAQGsV0QEdRKsu0rZk7fewmGX0rCh6rYRH8/7aNMm18ZKm9bMYhg6lFRBZ7J3\nLwxFV6VHD8V0iYuDxXHtGvdJOuTuiASKZYeOXbsAfJ9/nne4o7Si9etVDZczZ3he5DtZiqxpVLgw\n71LZDtsVOX+eZ3HHjoR/a9nS/a4hMTG8o6pUAYvevRtb5fRpggVz57o3nlF0nf139izzXbMGkPzz\nz7FVXn8dgK10aVV7y98fJlOtWuiXwoWVTjK2fU2yIIamaQHav9XtNU3LqGnaNk3Tmv1bPG7wv9//\nt4vH2ZGknlbiK1aBp2wObwABT2ti+AKE8IZFkZTunVGswZXQ0FCxc+fO/ySAIUTyMJRTdbOVbN4s\n9MyZH71h455OJyZWWip0HWAgd24i9FJOnDA7CfPmKWPI2AJz6lTSK7Jlw5GcNAljvmRJovSSpmyx\nqCKQmqYMJV2n1oOfH062EbyIiqJY25gxNhuoiMqVMerv3jUbVbIrhkyP6NiReRgjU19/bTa2790T\nYssWQIH27WE2PPcc7IP+/cltPXGC69iyBedECK5j40aM97ZtibA9+yxGVs+eABI7dyqj3AhihIUB\n8Hz5JXMsUQIHqEIFQJhvvoEBERnJ9WXMiKErnfinnmJdatRgroUKMYfatfl7QABGWHQ092rXLuY/\naxZzLF4cYzdLFu7njBlEVIOCAGOMaypZIdmz4wjKlqj79mE8fvYZdUkqVcLIe/llDDzZtUYIjpH3\n7vPP1fhz58KuKFuWY/fvx7jNmRNQZ88e1qZtW9VmMDqaqKBxP0hHUdcBzIKDuWcxMUJMKDDdVPBT\nDwgw945NIZIcdLM3H6mXp08nna15cxzVnDlV7RUp8fE4OseO8cwuW4a+GjYMWvorr/AcFyvGvpYF\ngcuUwVl5/XWcl9GjYQb98APpK6dPs9esHbnPP+eZSp8eMC9PHhhL3oAjtmTJEpyl8HD3jrt+nWLB\n/v5E340FPU+e5PsbN1R9Cms5dw79lT07QKW1sysEx2fL5rhYo7VER/P8y3V66aWE99KeFCxovo4e\nPcygxuLFsAtdcbrTpDEXRT19GgfcWaHUZcuoKeSKrF7NnKXpuHMnOk8IgC9jaoQrEhHBehcvnhCs\n2bcPcC9XLtXVyVp27OA5EoLaT2PHqr/FxpKiWbAgLENj9w1XJCoKcFumQFpL3ryeYcm6zjNcqBBB\nj8KFedZmz07425gYUjwPHKAe1MKFgHUffQSQ1KwZ76x8+Vj7TJmoc/Pii7wTu3XjmQkJYS9t2gQL\n7No1876wWNATuXLByjh4kL0jXbCkDGKU0TTtgKZphzRNO6Jp2qf/fu+nadpmjTZ+v2qals3O8e7f\nwRQkiZ1W4otovqfFOY1jeArSeAJGPIlz+uK8vkz/8GVdDSH+mykkjiQ5GMqputkgixcLXfbK1DQR\nkzGL6JR7i7h7lxd7YCC1DaSsXy9MzqGxHeeSJdBus2TBeChWjBf81as410FB6mUuo+eXLlEos0oV\n6Mfly+NgREWZ2QHVqmH0f/wxhmymTBgYknnxzDOAD1FRMAcqV1Zzjoxkbq1aMbc2bXAkpOEWG4tB\ncfAgTIw2bczXqGk4MY0aUYdh9277dPQLF4hy2RKLhetdsAAjSXZYcfQpVYrI5g8/4ATYcnquXQOU\nkHL3LuscGEgE+sABHP6FC4kevvRSwvOcPauOv3KFtSpRgvVYuBCDLksW1QGmVi0iaZGROC7//MP8\nPvxQRXUvX+beV6mC0/fgAfuncmV1XunIXbuGo1SjBt9Xraoo7lOmYJR+8QXXNGIEkaznn8eZiIri\nvMZ2vkJQC8F4jTIKK4TqiPLnn8y9a7Y1Iv6ZDI9+rGfMaC4GkAIkOehmbz6aponz53kWTpyATVG/\nPiBFrlyAaZ6CBrGx7OVDh3CiFy9Gt338MeBeq1bs2UKFSP165hn2Z/ny6I3Onc170bhPfS29egHq\nedJ05949dFzOnFyTNGcGDAAEePVVleogBOvcpQvP7tChzms/dOoEmO2qWNcRGTECJ9OZ/PMP+8C4\nBmPHoiekxMcrHedMnn46oc6vXt25irA+pz0JDeX9aGQlyNbcUjJmdK/DzvTp3K+XXoJVZEsOHuQ3\nQUHoV+P4J08CvG/dit6PisLxnzkTELhhQwIJnkjv3pzX1h4NC+MZ8gbgM6Yj5sjBM9GmDe+XokUB\nd9KmRS+ULcu1dOrEeo8bB3i+bh3v+gsXPC+XFBbGu7NGDQVaCME+bt6c60+yIIa3nxRlKHsg1s5m\naGio2LFjh0+o/zt37vR6PG+Lcz6J+hRPqiaGr87rbfqHMe3DF2yJ/3onEluS0g1lkVJ0s65DLTBY\n1rFBz4ua2Y6IAwdw8oKCiC4KgUFTv776+e3bOMStW+O8yurzmgb48Pvv4hGTQ0bfd+0iwjJ3Ln+b\nMwdDc+xYDERdxzAcMcJs8GsaoEWdOkRZfv0Vo6xVK1giEryQEh/PMfnycQ1yjOBg5vbKK7AojFFW\neyBC8eJEXl98kf/PnRtmQ5o0MDny5uX6KlVKWDBTMhoKFMBokscEB+Pc1KsHzfTNN2GY2Dp/hQrQ\nkYODOfbpp81j1K2rfjt2LE6WjAJFRsLkkA7Jnj3mNbJOB/LzIxp9/Tr3Yvlyjn3/fca6fZuIlmRz\nyI81XfrmTRyN7NmJap86hYFYqRKGnK4DNOXNq8Z45RUiuELgDPGuUA7T2LEweA4dguJcvjzzypdP\npbFs347R3akT6T+y2821a+o8jRqxl4VQIN3KleypFv47RHx2/0c/1p9+2vUiA8lAUrpu1jRN1Kmj\nOkdERbEHr1xh39WsyXN2+7Zv1tORREUB4u3bBxtrwQJy9uU+fOYZ0ji2bPF9fY6oKJ5J2aXHE3n4\nkLSa/PnRu8uXo9+yZSNl4NAhANLAQFgmjgqEGmX7dgBuVx3UP/8EHDL+25XaEIsX47QaZelS9K31\nd1WrOgd8nn46YXvXmTOdsyy6d7fNXDGKxYITPWqU+ftatdCTUvLls53uY0t0nffS5s2AyM6IZUeO\nwDIMDITdGB4OIJUtG3tp4UJAEcmGtJUC4qosXswesJdGtWWL+218reXCBfWsdenC3FeuBHQ5eRJw\nwdcsKGvZv593f//+CRk7MTGAJ//7n2O9/MSVqjefFGEoeylGwMEX9RCM43o73pOsEZHcamI8yVoc\n1nNIjD30X+1EYktSuqEsUoJujo8nvG/wRC0lSon6RS+LWbOIWEq6/d271EyQjn7Lliqrg+pSAAAg\nAElEQVR1JDraNIQYPVpF4mJjyS8PDCT9IDQU6unXX/P/zZrhiBrbIV65Yh7P35988u3bVbrHgQMA\nJ7lzE6GXcwkNxeF95x3zGJqG0927N+DItGn87vffAUI+/xznJnt2wISff2bub7xh33+NjSXX+csv\ncajTp094TuMnfXqiLhMnYkTZUxMynSQiAkOvVSsiUq1awSSJjOTWhYVB3963DwqrsZil/FSpQmrH\n3LlEU7/6Clpt48Y4AlK6dWMdp0xRx2bKBGA1ezZMhzfeYD8YI5bXr2OcGc/Zty9rKyNOt27BwPHz\n49p69WIOEkzRdRgm1tFpXQfQ0DTAsfbtGeuTT9gzsttMQAB/z59ftdB88ACavxxTOicREQrwyZiR\nPX3vHvtJ7qXPPhOiQ8VTQi9QwHxhn37qWVg7iUlK182apolq1czO5ttvq3oOsbHsq/z5zYDe45C/\n/0YXSoAuQwYKAlesyPfduwN2uNM9wpGcOcPzsW+fd+PExuLAliypHofAQCLYEye6xwwQgseoXDnX\n2A9CJEzHiI2FEeYMiOrZk3QCo+zcmbDFbXw817Zxo+PxnnoqIYhx9y5zkW2qbUndus7TX776Cqfd\nurNGpkzm9a1Y0fV9u20bIL2u4yy7Wifl778BgQMCCBjIe/7887zDvM2y+/tvxnbU4SQkhHeXp3Lx\nIuDB1Km870uU8F3dGVdFvp+WL7f/G5lWkgpi/AfE15R9X9W08DYtwdtWqcmlJoYvWrN6y3RIinso\nJUpKN5RFctfNUVGEowxOml6rlujZ9o7o1EkVPrxyBUpmUBCRl8BAnENpyO3ZYxrCFJk5epRoWdOm\njHPzJobEuHFExmVKQGwshtuPPyaM7g8ZYp62EbyYNAlgY+pUmBX582PwyWOzZ8f4zZYtIWBw7x4s\nk8aNMUBff912u9UFC1im2FiijnPmAIRUrgzDomRJnPtevYhOZcqkIlj16wOGCIFTcuCAOv7FFzm+\nWDHmPnEikad792wX9rx7l2hN06bM97XXoMkbc5hHj2a9rl4FWEiXjns4aBAGafHinLNcOf4m12jj\nRuYuK/ZfugRToUQJ0jzatuWczZpRl0MCPdJo37WLtbcubirTTjp2xIjcvBlmhp+fYqssXcoYum4u\nrjpoEGum66xH1aoYtLlycZ/69SO1KDKS+Rqj2zL9ZPp083ykAR8by/zz5wcYypmTPX7uHGs0YADX\nP6rPdTwG4yBduzpPgE/iktJ1s6Zp4tQp8zVv2ZKQKbRqFTpo+vTHg03dvk2ayfz5bKGAAPRO2bL8\n7fx59EC1ajxjXbqw1x0VXXRFvv8e4NhVloQjuXOHecvHwZHj7kxmzeL5c0UmTTK3+RQCZ3rFCsfH\nFS+e0HG/fh1g3FqWLwf0dbQXNM125L5dO3ScPcmf35yqZy2HDrGu586Zv//pJ/SiUZo0MTMzHMnr\nrysQp0QJc20QV+TUKXOtKU+6yljL/fukR9qqT2GUN9+E5eKJXL7MnjcCWO++i15/HB2JHj4EOC1R\nAsDGmYwc6VgvP3Gl6s0nWRvKPpbEaJHqi/G8TU3xhh3gCQDi7fk8ASJ8VQ/D2zQSX6Z9pKaR2JeU\nbiiL5Kybjx5NWBChbVsx55uoRwW6GjfGgCpfnp/On0/0fOJEjLyrV/Hn5OEtW6o2aTduAFQEBOC0\n6zoGdLlygCNt2mDE7NuH0fbJJ4ASxul88gnAh2y5euCAAjiyZMHQz5wZI6F7dxyRvn1xclu1Mkce\n27QBFLh/H1Dj5ZcZo1UrDM8DBwBDfvwRxsIXX+BsG9NmNI1zde6MYfTnnzjQhw/j5OfIAVvE+Pgb\nKcSxsYA4p07h9G/cSGTznXfM1cqNn5w5Wa/Bg1nPGTMwtJct47iCBfldu3Y4Ox07qnaiQpA+MXAg\nDlHfvuSHR0QQnQsJSdjitlcvxWTQddYiIACgKSxMsUKeVrUvxYIF7IMJEzgmJEQ8YnEEB5MHPmMG\nBl2xYqx7hQrm83bsiDPywgusU8OGfF+qFAyd+Hh+06IFzmihQtwH2bL24UPObQQtNm5k7qdPm6PH\n3burNBlZ+G35cvZ4uXKs40svAYrkzCnE2iWRIEfGCderxzOUTCWl62ZbetliIYps7cSdPs2+69TJ\n83x3VyQ2lnQMmSolBM/w2LEAj+XKmVkFV64AztapQ9pYu3bsU3cZD1L69kUPegPWrFrFGvbqpR6F\nkiWJeHsi9+8DaLpy/MCB6GWjhIQwF3ty/ToAtjVzQtcBc61NNYuF1AtHAIGR1WWUDRtU8UtriYmB\nJWcP+3z4EF23cGHCvw0YADhtlM6dXWsRev06e0eCV542XJJFoosXB3D3BgzTdUD/Ll2c78Vy5ahF\n4a788w/Xal1zJS4Ou6ZvX/fHdEfOncNuat/e9ec1NtaxXn7iStWbT3I1lGXdAV87db7uWOKr8ZJC\nrQhXz+ttGkpyuEZHY/gi7SOx00gS6/l5XJLSDWWRXHXzzp1Cty7+0L+/2LfHIjQNo6dePRzEvHlx\nmDdtImK5dClMhbFj+Z08PDhYGWilSvFdrVrKOI2MBHTIkwdGR//+GGH16+No9uzJOeWYxgJoOXOa\np1q1Kqz+DRtwrB8+BFTIlQuGxv796ti4OKiatgCCdOmoTZE9O/UTqlbFSW7c2HZahnVV94MHcQqC\ngkgnuX8fI/jkSZz9li3VsbJ2hr8/gEXlykSE2rXDqa5SxfYcjZ8GDfjtq6+ybhUqQJW19dt33iEl\n4/JlDEVZaNPPDxaIsd2hEGa6sKbhxE+fDuhy5QoRzxdeUMDQnTt0dnnuOXXMli1qvLVrua/vvcd9\nLVAAQCQ2lnSQtWsBZozggqYpACYuDrBE05jzmDHc55YtAV7CwxVglS0b85P0+3Pn1HgjRqj9Z7yn\nfn7cs5gYzpkzJ8DSsmXs+VatuCcZM7JPzp6IBYUxTvaZZ5ItkJHSdbM9vfzhhxTgtJYHDwDiSpZU\nbCRfiq7jbLdoYXaof/+d50rXAU3Ll7fNbLhxg30qWWOtW5Oa544zGR0Nqcg6tcIVuXIF4Ld4cVXA\n8eN/OxLnzs3zs3Wr++MKAbvik0+c/659e9h7RjlyBGfVnqxYgW6wJSVLAkDbOqZSJdsONsUXbY8X\nF8c6yDo7Rjl9Gh1oT957j+uzdc4yZcwtxIUA2JD1XhzJmDGkCUrJkyeh7ncm587x3goN5Tnp2xdW\niaeFPGfPxkZwBhjGxKB/XW2jKyU0lPf5hAm2/37vHvfe2GXNl7JuHQGNKVPcBwxTQYwkJL6uO2At\nSTElwDe1ItzvcuLJeT1NzfDmGimA+oZIl279E6mHkRT3jD1J7OfncUhKN5RFctTNFy8mrF45aZK4\nc8f8lZ8f9MYHDzCWc+TA4F65EmOsYUNYCdmyYWhIsOLoUb7TNNWG7eFD6NJGECIgAEd82TKKwxUu\nDJuhYkWMLl3nM2OGOm7sWHMkyxZ4ceMGbIqPP1bdSoyfzp0xvo4f57eSVnrrFrTVunWZf5Ei/L5N\nGxz5996DCSEEjnyrVoAXvXvDNBk4EJaIbDFq/KRNi9NtNGh0Haf5/feZf4UKMFz++Ye/G9NJjh7F\nyA8OhskwcqRIQJW3WHBobAE1gYEQCYYOxRHq1EnVppD37dVXiQKeO0c0UdMw5LNm5V7PmYNRFhjI\n2hrb0MpuC0FBpLjI2iYHDwIIjB3Lmtevz96ZM8d8H2NicI6kQySr/EdFcT+aNwfAqVwZxkzdurBT\ndJ30FMngadxYFYVt3pzvChdWkcdDh8hnDwjg2ho25D6vXUunlMBA/v/BA9Y4e3bz8/DwgZ4Q7cmY\n0X5hkyQsKV0329PLhw7BFLOVDqDrPB/O8tc9ka+/xnGzbndqsbB/jx/n/LIrk6MUjTt3YD/JDktN\nm/JMOesGIgTPd2Cg69FtiwUwMyCAtDLjc79wIXP196dOT1AQjqG7jtvJkxxrHNuWvPRSQqBE13k3\nyYK+1vLuu/ad2WbNeFdYi8UCsLRune2/OXrlf/CBbZBs40Z0mC356Sf2pK12s9eu8T6yTn8YO9Z5\nZ5b4eMY1gvo5cqhUO1fllVeoF2WUdesAbD791L3MuoMH2UuupFccPsz7zh25epVj5Lvanpw7x56T\nqZ6+kPh43rHPP6+KoLsrqSBGEhJrB2/z5s0+jSonxbQSb9utetrlJCIiQpQu3VOkTbtOlC7d0+Xj\nPG3N6sm55NqkSbNCFC7cxu1zepuykZzSSCIiIsTMmTNF2rTrEwUgeVyS0g1lkdx0c2ws4f9/HTBd\n08TJdsOExWLu3NG+PdEaXcdYypcPI7VOHai2S5bgUL78MpEd2XZ1yxYM5CVLYAAEBeFkGn2+bNlw\nyM+dw0kdNAhjaMUKHOBXXsFgu3yZqVaqhIG/eDEAh8UCeBESgjGUNy8B8k6dSK3ImpXjWrY0R95n\nzsSYfeMNtRz37sEGadIEZ6B9e+b+7rvM3ZhrvWaN+TokQJA/PwDA2LGADq1bY9SPGAGosHs385Zy\n/DiGX8GCdMwYMcJ25E5WUTeKrhOR69eP+VWsaAY+jJTlixdx9P39WZ/58zGwmjblHqVJY74nmqaK\ncFosABb+/hiDy5ZxX7Jk4X5oGuu+axdzKlIEo+3+faKDQUGsyeHDjFmhArnNMTGk4DRoACAzezZz\nlfnpp09TYLVgQaLid+/i9FWsyJ759luV2lKpEntH1/lNly7MK08e5lC5Mk7RzJnsL+m0TZ+Okdu0\nKaDK8uUAKI0asRdy5VLg0aVL5nSbihX/BZ8q9RW6cSO8+mril7f3saR03WxPL8tODY6iyLKTQL9+\nvimu+fPP7EF73SQGDAAgkPP74AOeGVtOrbVERPB8tm2rGHTTpuHM2ZPVq3n+nNWyOH6cdpDVq9uu\no7BvH87+e+9Rq+bcOVgDb7/tHJCwlvr10fGOpEABdIS1dOwIiGNLXnjBfgHKvn3ts1JWrVLPu1Hi\n4wFC7cmRI+gg6/SVadMAja3lxg10zu+/2x7vu+94z1rL7NlCvPWW/XkIASBbpYr5u6xZXdtXUrZu\nZa/Yqsly/Tp6tHJl2/fFWu7dA1RessS1cy9cyDvZVbl+HV1unXpjT/78k3fh8eOun8Oe3LzJe61u\nXfdBIqOkghhJSKxBAV+lflifI6mllXjTbtWbFI/SpbuJNGkmidKlu7l0Tk8j/Z6cSwjfpK94mrKR\nnNJIjGBPhgwtPWKtJBVJ6YaySE66WdfJRTA4X1e7DknQClQa9/HxsAxy5wYQyJEDB/DECei7Q4fi\n2Mrc0qVL+Y0xpWDaNDVuxoxEvWREafduDI7XXsOQ694dQzYqCoc7MBBjRP5e182Ot/yULs2xc+di\njOzdq9qtVqmC4/3bb4xx6xbHDB2qamK0bs3cIyMBCIoXxyG4eZNjTp9W+cDyM3w4FfVl5FMCBn5+\njG00Em/eFI8YIPL4wEDAlOHDcQA6d4Y5UL067Bbr9Bl/f7qmtGqFc9+/P8e2bq2Ammee4Xjr7Xj+\nPE6Fvz9t++7dYy0vX6YbSO/e6jw1atCKURphp04xZu3aOCjh4bByJMvB+DEa+w8ekIucMyd7ZPt2\n5lq7tnKc/voLJoQsBNq5szo+MpJ55c2LA3jzJvdl0iTmUbs265Qxo9lgXblSzcf4elm3jjVft455\nvvoq4/fti5Nz8SKgTUAA0Vl/f3MTkm3bzNdaqpQQD7r0NH9pLHSQDCSl62ZHenncONsOpVHu3EHv\nVaumQEJP5MQJ9p4j0GT3bgBNud90HWZXxYrupYs8fMgz3bkzwGSNGnS7sFVv4v330Se2WBPR0QCF\nAQHocHv43P37PIM3bypnMDISnf7iiwoUdUVWrWK+9kTX6exkK7Vg3jzARmsJC6Nmkj2mwMSJrIMt\nsVhgD1ozNeLiqAfkSMqVA7w3ygcfUC/JKLpOepF14WqjdO1qu1jomjXsT0fSpEnCuhnupGfEx7MG\nsrW1LdF12DfG2lf2fvfKK+hdV2XgQMXmdCY3bpAiMnKk6+MLAaOpYEH1vvdEdu0i0DN4sPcFQ1NB\njCQmstjlpk2bEo12n9RSBJ5E+1FPzunpPB93S9f/WhqJcey0aVeI2bNnJ0sAQ4iUbyiL5KSbx40T\nRqcrfugIIQRMAvm1jB49eKDqGD7zDIbenTu8rHPmJLo9fTrGWlQUke+8eVUawYMHGG1GH0+OHROD\ng5gjB+CBrvPyr1wZ2n/LljiWhw7xe4sFg9BYO6FxY1rVGVul7d+vwIspU1T6hYyyREQQuZJjzJ+v\nHISoKKi5QUFE5i9ehLVhLD5ZsCARfGNdjMuXqT3h5weF+PZtDPe1awEZmjc3pyTIT548AAsjRhAJ\nXLCAY/78k4hnaCjRxWbNVIHL9OlxvqdOxZkfOhQnvGNHoq/W52jQgCJ4mzdznWfOYBAHBEANNqqU\nceO4jnXrYLRky8bxkqL+5Zc49tOnK4cmLCzBlhLt2/Obffu4zw8e4ETJQqsNGsDaMEbtJk1Sx9eq\nhbMnDeFNmzAOe/aEfpw/Pw6LZIrI40JC+L0EqYxgk4wg7t7NPGbOZD2Cg4lIjx/POY4d4/jevYm0\nahprIR2g+Hg1rkw1iH7nffMJHbUmSGKS0nWzI7186RL72RlbwGJhj+fMmbAejisSFkbkee5cx7/T\ndVgGxg4aug5YWamSZ0UUo6OpGfT22yp9atw49ezFxADyypazUv78E8CwdWvXwJt8+ei4ERKC0yzn\n/vnn0OqNnaocSVwcelHqfWu5dQu9ZEsuXQJEsQZbfvwR/WlPVq7kOu3JDz+QLmN0zGNjAdMdSUgI\nzDCjvPxywi4q06cDVNlj++g6a2idOigEwHDVqvbncPYs992aQfH006472rNmAZ67kh507Bjv7Vde\nsd3yNiSEa3WHoVO/Pqk2zuTWLYIZw4a5PrZRhgwhVcld9pCuo/IDA9krvpBUECOJirUD62kHD2dj\n+zqtxNO0BW+P97TTiDvn9DYtxN3r87ajSVJII5GFNkNDQ33S6vVxjf2kJKUbyiK56OZly4TR2bpS\nn7LgsuClvz8Gz+bNijmgaTjHMndVFmpct061gjtxAsp16dIYvBYLkR+jX3fsGJHzESPIh33hBYAK\nSXeeMIGo+rRpABtDh2LUnT4N2GFkJYSE4Cgboy3GdqtTpsAWePNNjPZr1/j3mDFqjMqVcSykwbt7\nN+evXh3go1o11qNrV4zEwECVLjN8OIDLlSsACDIq37cvEbVcuTi2cWPGWr0aA7t0aSJny5ZBHa9W\njcr4ZctS7G/+fNbSaIQba2I8fMixLVpAB+7UCYaCtTE6YwaGn7HpTNmyFN8sXJi169EDwzhDBpya\nyEiOkXUo5PlWriSimiULYMwnn7BO9euryO7VqzgW1aqZ73nBglxf1arsj9mzVRFO+Zvff8cIrFMH\n9sfgwepvBQrAGrlwAaDq7bcBHWbMYIzVqzn/qVNci2TXNGlCTYGtW9VYmTJBybZYAHIKF+a3O3dy\nby9cUDVf/viDcY8cYe6ahtEfEQGQU6wY+zso6F9nMD5eXCj/8qOT6U8/bV7IJCwpXTc708u1a7vu\neGzZwr777DPXs4ZiY9GfH3zg2u8//thczFgIno/330dnGQFbdyUuDt3euzf6tEwZdOj69ez7HTsY\nv1cvnqdVq1yva9GkCVs+JgaAcuNG9TfJgLKX6mEtn31mv9PIoUPoWntSpEhCAGTgwIS1HIyyfz/v\nI3ui64AYxn0SE0ONI0dy4wZ62mi6vfCCuTbF33/zDrWVSmj8Tb58tu/F6dOOC5p++GFCcphMhXHl\n3t67x14xztmZREXxfsuTx8xE2bGDfWAvncqW6Drr44zNc/s2a/vJJ5533bFYqH3VtavrY9y/z3v4\nhRc86/ZiT1JBjCQsxhakvi5YmBhpJd62S/X0eE/TPNytb+FpWognYMSTaOdqfV5v0z6sryE0NFTs\n3LnTp0BcYoz9JCWlG8oiOejmv/4Sevr0Qjpah/3qCBETIy5ffvSViI3FqTQ6ouvXqyFmzFB1BSIj\nceZmz4YZUKcOkcItWzD4MmVSY8yfz/FXr6rv/vc/ZSjMmYODLdMofv2VSHm1ajiKDRsS9WrWTBkz\nFy/CfFiyxAxePHzIPOrXJ+p/7RoGbGAgFFpNIzKp66poW7dual7ZsmHEbNyocr1bt1apFboOAGDN\neChaFEdj5UrmZssIatVKASFSoqNZzylTaFlXoABzqFNHtS+sWJEok5EOffMmRQKrVOGeDBgAkCMZ\nLdJoP3MGI0u2fd23D8bHe++ptBPj5733oA3/8guMmxMnWMMbN3DyW7QAmJC/nzIFp0PS8mfO5Pvn\nn2deI0ey3hMmAIbkzavug/FTqpQCY06dAjzInJnz+fuzHvPnw354/nko55kyKSM5Pt6cJSXXatQo\n9V1AAI7gH3+wflWqcK/HjOF8sbGMFxioqNO6TuTUOFcZmZ45EzDk1i0h4iMeiKPPqtYy+rPPmnv7\nJlFJ6brZmV6eNYt96aqEhgIONm1qO9JsFF2H2dS8ecLaCPbkyBHbBUd1nWezShXvgAwp8fGwLfr3\n55k07u9evdxnfQwYoNqerlkDY84Irp44wfuiTx/nBSAlKGrrOjdsoG6NPendOyGrpGJFx2k8d+6g\naxw5rj/+CBAs70t0NLWQnEnLlur9p+voLHld0dGwGGfOdDzG118D4Nqbe5Ystv/28CE6z9q5fvAA\n8NoVGTTI/rmdyS+/oKsHDeK5yZvXdgFVR3LlCtfg6N6EhbGOH33kXdtgIQAlKlRwXhBUCN5TpUvD\ntnG3c4ozSQUxkoEkFhXf1+N62x3C0+O96TSS2C1WH+c1eXM+b8+b2GM9zrGfpKR0Q1kkdd185ozQ\n/f0fWamn0hQXZ/feEffuYVhqmqrObaTiyyJjuk6Ew9jhoWtXnPIaNchDPnwYgy04GIc2IIAUitdf\n5/j4eHOkXjqCq1ap70qXBjDImhXHYs0aah1Y59mGh5OeYHSkJV324kUc4q5dcWADAnDi+/YF6JB+\npWyRJz9163K+qCiM77FjOXb+fH576hTOunUr0GLFMHry5iXV49lnWYPKlXFe3nwT4+qzz9Qxkybx\n7wED+Hvr1tB1S5dWjAJ7n0yZOFeZMqRdtG6dkAGhaVxrVJTaAseOATblzg3jQVJm4+JwnGydK39+\nwJkcObi2dOlYEz+/hL815nPLyOvo0ZwzKAgQQ7bSu3oVY3bgQPMYEyaoWhnx8ThFAQHMd8UK9lfW\nrPzXuE6yWKeRedG/v9p3tWoRFcyZk4h4vnzQug8eBCRp2BDHdPBgxjl0iN/L9BQhSPeRYxtJFkOG\nAAZFRQmxa+0NcTGN6nWr58xpuxBBEpKUrpud6WXpBLrjtMfGso+Cg6m9Y0+mTrXdicSR6Do6Zvt2\n2397913qTLgzpivnHD9e7W9PatPOno3OlePVrZuwIPG9e+jEWrUARR1J+/Y479Yya5bjQparVql0\nFiFYp0yZnKcIZM3quMCprgOGSBA6KooUS2eyciVrIQTX7Oen/vbhh+hvZ453y5akXNqbV9q0tq9v\nwQLYgNZy96594MMop08DIF+75vy39uTWLd6Fcm+5Kxs22O/mIgTPb4UKPI/eAhhSrlzh/SKZfrZk\n1SreTTNm+O68RkkFMZKB+Dr9w9a4vkhZeVK1MTxJn3hcLVaTWz0Mb1NRjOMkZieSxBr7SUtKN5RF\nUtbNt28LXfYJ1TQRnj5QjOtxTsTGYhxoGgwHIQACpLEhHdFt2yg+WaWKKnq1cCHR9Lx5MSj79MHY\nmTCBvO/AQJzIAgUwXB8+xJjSNKJOY8bg+C1Zos6naZxj2jSMyZMnMdbr1cMPjIsjL7ZDB/MxRid2\n3z4YHQEBCrz4+28MnOLFSRnQdcapooLmplzj06cBBerW5dplTYygICKh27dj5DdtioFqFF2HOnzs\nGE6vvGZ7nzRpMGJnzcIBP3SItJPISGUY9exJCs6XX+IQyS4ja9ZwzA8/UB9C1scoX958jiJFYJp8\n+60Qe/Yw/2bNACjmzlXR0sGDOf6LL9SxWbKomhhhYRjKN26wXnv2UB/AaKBWqQIwIAR/z5WL8x45\nQpFUyQaJjFRrNnEi+8RYWPbVVwE5YmJoK1uhAo7JP//AiPnqKxgyxuvcsAGA5pdfFCOjb19AjMuX\nGX/IEJW3PH48a9mnD4BZnjzcDwnmXboEK2jAAK5B5vznycPYo0axDywWHK527fj/gc1OiAcZDAVQ\nSpb0rJjBY5KUrptd0ctt2rie6mCUVavYT9OnJ3Rkfv0VnXHunPvjfvYZusaW6Dp7tmpV3wEZR45w\nHZs3A+Y5Sr2wJ3/9Ze6AcfAgz5z11o+PJz3QuuWntfzxBzrbel1HjEBP2RPJqpD1JX76iZQhZ1K2\nrHPi1Lp1gMeyM1b69M7HjY5Gz1y8SDpF5cp8/9tv6Ctn7XBjY9HDjkCfnDlxvK2lalXbzIcbN7jf\nzqRVq4RFSN0RiwVwy6injQW/XZExY+ynYt29S7qoBKx9Kfv2YUNY79G4OJgl+fLxjkssSQUxkon4\nOv3DOK6vUla8bZfqzfHu1sXw1Fn3JAXlcdbDoNPLGx516DDWmPAmNeNxdCJJjLGTgqR0Q1kkVd0c\nFWUqjBD/TAbRzH+XCA8HfHjxRdgSJ0+qfFBNU4aPsZ2ojKKfPKm+y5MHA+3ddzHGxo8H2Ni4EQN2\n504o1zJtoV07xrBYzIbNu++qmhsWi2qb+s03GBP9++MQWLMgzpyBKVG1KqkO8vvOnZlnVBTOc61a\nOOEbNmBElipFuoDFgkMwYgT//8034pHjX7Uq19ajBwanNR180iSo4lFRGDPTpwMulC0LwFO+PM70\njBlEa6OjWddmzXDiN2/GEW7UCCO1aFHuyZw5UK+NIIasiaHrrMe777I+tWtz/UZQQAj+9tdfsA0k\nw6VLFxz/jBmh3pYoodZr3jzmK2tBHD/Ov+vXJ5os26q2aME6G1VT06bMYcQINRv6P64AACAASURB\nVN7LL5PacvYsaynzlI8dw+EPDITpcv48c5X3fv16oqYZMwJcBAbizO3YwVoFBhJdlGtz8KC524t8\nBOPi1F5p0waHY9Uqcsc3bmQvzZsHKNenj2INyTFknZY7d9R30piNiVHspebN2VdRUTCSBg8GMGmR\n5Q9hSWfo61u3rm96dCaCpHTd7IpeXrVKRcvdldOncWw7d1Y6UnYikc+Tu3LqFI6pvRQUXSdtolo1\n87PoiVy5gs6W7S5DQwEfrbtqOBPZAcToTL79dsL6HlJWrOC5s9dOVdfR09ZOb/fugIqOpFIltfZD\nhqi2tY7EVsFNW3OqXJnfuZOS0bs3rLTvvkP/hYXx7pSAqSP56y/0tSMpUyZhHZD9+7mvtvbQ5csw\nDRzJpk3UNHK3yKWU48fNNZkqVWJPye5mrkq7drxzrCU8HPulX7/EYUIIwX3Ok0elsF67hi3RqJFz\n8MlbSQUxkpFYR9k3b97ss2KfvqLne9Mu1ZvjPUmj8BT4eBy1Nzxt5SpbjRYu3MZtEMhXdVcSI9VD\nAiyJ2bUnKUhKN5RFUtTNFouJtqA/9ZQYUmSlmD+fSF/FijAV+vfn54MG8dOXXsIo0HUVHc+YEUc8\nKkqYHMZWrQAL4uNxBsuUIYJduzbRvAsXcPiKFyfyL3OBjS0w16xRUz53DiMhf36M1VKloGwPG4Yj\nHxzMOdKnV+yL2Fg1VrFiilURFsa1tG/P+SpVwplfscJMlz561HxNmgZ48cYbGFshIRigH32EMdql\nC/OyxayoUAFn/q+/cA6sc7+PHAE8sJb4eIzQqVNVNxi57sYI1oEDrOndu9yLVatUikXXrvwmPJyU\nFmnY7d+P0VWoEI7KgwfUupg2DSfDOP82bVTkOCYG8CFnTu6Rsa1qliywJWRRU5nKs2ABf2vXDkeo\ndWuYEVWrsm7Sjz9+nDQjed6DB9V8w8LYl4ULc75Ro5h7iRKMmz074xopzsZioH/+qfZSlizc82rV\nANN69lQAlywaquuAKC1bqjGeeYZ7Yh1FPHyYse/cAZxJk4Y9uW8fRm2RIuzTUaOEmPLiYvPBXbok\nnrXthaR03eyKXo6KYl952kL1wQP0RalSAG6FC3vG7DBKhQqOgQSLhdoVNWp4DmSEhwO6WkfbN2+2\nH913JEFB5jW8ehVdao+Ncvgwz+GgQbad7WnT0DNGadrUec3cIUNUh4pq1VwDZAYMgHXnTDZsQKdE\nRqKfXZFdu9ANo0ZRuPW119R715mMHOm8a3O9egm75nTvbp9Rc/YsAIU9iYvjGh2lU9iThw9h2gQE\ncA9y5lSMPHnuEiUIADirjSIE73TZ7UxKRAT3tU+fxFepY8ZgK8n6HsOHu17fxhtJBTGSkVinlfiS\nleGrlJUnlVLyOOpVJOXaG94c5+2xRkmMVA9r9kVKTCORktINZZEUdfOnnwqjE7X39YmicmUczfz5\niQLlyIFD9s03GBvp0ilHTUbWly6FQWCk+2saqQxCYMC3bo0hde8ehlOdOoAeuXPjCAcFKefy66/5\n/sABnP0cOVQrUzl21qwwILZtw1js25eIyJQpzHPdOsY6c8Y8JxkJPX8e46dkSQyQMmUUeHH1Kobo\n6NHmSJH8VKxI6sJrr8GMeO89rqF3b3Mb2nz5+O9nn3FNH3/M75s2hcWQKxe5ygEBCoyRxz73HGBN\nvXr8NjiYa376af4bHMya2QJKsmbFOU+TBserQAHbdTRWrTIXGP3tN6KI5ctz743G39y55mMrVyZl\n459/uEcFC5KSItVSWJjZwZ80SRU227iRa16+nPuVOzcpKXnz8l9JgT92zHzOLFlgZ8gSEqtXc68H\nDcIw3r4dp+2559Qxc+ZwLc8/j8NlvHYhSHsqUYJoXdGinLNECcCRa9dYix49VErNb7+Z55QnD5H2\noUPVd7JI34ULXFvnzkTdZ85kPwYFcf58+YQ4332MecARI7x8qH0vKV03u6qXu3d3zYm1J7oOgCVv\ntbfy5ZfMyZFYLABzL73kPpARGwu42bu3bUfw888BSFxxNKXUqUMajfU41kCEUW7fhvHVqFHCmhQR\nEeg4I5hi3d3DlmzejJP74AGAritFF6dMwSl2JroOA2D+fNdBDF3nfVS0KPeqTBlzvSJHUqMGDrQj\nad9eMWmEAOTOls1+LYvjxwks2JPp07mX7gIEv/4K4Ny2LWyPOnUAMoKCzB1JwsMBw+vUccxouH+f\nNTbuwYgI1qRXL89qt7giFgt6//vvea8bVXiDBgRvOnTgndivH6DZ6NG8B2fM4L2zahXvwm3bALlP\nnCDAc/s27zNna5sKYiQzkekfiRGR9kXKirdgiDfpF+6morjruD+umhiepoR4m7riLTiQWKkethhI\nKaETiS1J6YaySGq62corjenWW+TOpYuxYwENjh3DgJg+HYAiVy5SBnr04PCFCznUmJMsh6tWTRkP\nt24RZe/UiSj7jh2MP28ejt2KFQACQ4dyzIcfYsxduKCmakxrKFyYY6SB9+efGEVduhA9L1iQ+hEW\nC6wFedz27UT2R4wgtUN+nzmzEB07Yog0bYpT7O9vrqfQqBEGSMOGCZfx+nUAnho1bKeWvP46S20U\niwU2yJIlRPesU2CsP+XKEd3Zu9d2hKdnT+awYQPOQNasXNPPP7P+Z89iJG3ahNElx23enOsNCKA2\nx6efYliFhGBM161LhFAIDMKvvsIJr1AB8KVFC4rQ1axJpLZVK9ZfglHR0dzr779nXjlzUt/i/n3u\nQc6c3KuoKEAeY4vcK1dY7ylTzJ0/0qVT55wxg3V89VX2iMw/joriGCPIs2EDfzOmOn39NXv39ddJ\nv/nmG/b53LmsydmzGMSNG7NWEgAzpjpJpyYmxnzP3n4bQ3TvXsZatAig6o03VHeTjz8WolxZXVi6\ndTcfLFGQJCIpXTe7qpe3bnXcZtMVMQKx77/vXQbRpUs8C87GsFgAO2rWTJhWZk90nT3cokXC9szG\ncZs1o/iuq9KnD8+0UR4+BNBzlFoTF4euLFQIZpz1mEbsz99fdYqyJ1FRgJ2rV/O+ckXWruUd4Yps\n3Mg1uZpOIgQArdwb1swCeyKLkjoDYfr2Na/7lCkAG/bk4EEYOLbkzh30unV6iiO5cQMbIH9+1c3s\n008Bp/bt431jLfHxsBsLFkx4z6Xs2gXQLCUykn3evbvvAIyoKPS4bP9dowZ2Q3Aw8zeq7tmzAZR+\n+IHUoFmzqH01ZgzX278/7+tOnWA1NmoEaFW+PHZPnjw80+nT0+I2UybWOjiY90flythlzZo51stP\nXKl680lShnIiSGIV+/RFRN5bMMTTdqvupqJ44vQndk0MT1NCPK1n4UvgITG63chr8kWx0eQgKd1Q\nFklJN2/aJPS0adWbt1kz8clHcaJiRV6YW7bgzJYuTc2KgAAcbmkcbtmiWmjKQmcyl7V/f5zRI0dU\nvYMhQzAo7t2DFdCmDb/980+AhipVcBA7dlS0fiGIuNetq6bZpo26hIcPMZ5z5SKVITKSdJDhwwFA\n6tblb5qmKK+XLpkNDk3jNy1acNwPP+AIDxxIdO/ddxX1OToax/P0aaJYc+fiZGfNikGyfr3ZmdB1\n5ig7jixcyLi1a8MoyJ8fUGjMGMAGWRBVCK5j505zCkn79kT1c+UiZeLrrzE04+PNNTGEALiYPBmH\nK39+DHwjKBQSwrXJeV65AlA1fDjGUY4c5voP8iMZOLGxME/k2q9dyxpkzap+27MnLXLr11fnPXwY\n9kpQEFHkQ4cwUGXKRlSUGXjSNBVhk50/goNZ92+/JZqXJQssH1mTY+hQdR9iY82sDBnRmz6dPV2w\nICyOsDAcjg0b2AMBATgrVaowRmwsHWIqVcIYX7iQe/G//7EnZNRXdtFJn55np2xZ9svatazV0aOw\nMsqUwWF5/nmeh9nTY00VXvW0aRNyv5+gpHTd7KpetlhwMlx1MK1l3z72y/HjgHGFCqHvPE1REQKH\nytji2p5YLESFa9VyDcgYNQrGmQTu7ElYGDrGui20PZk6FUDUWhYv5nzOHM8FC3g+jec7doznKzYW\nHZIunWsObIMGOI/GrkmO5OhRx+wEo+g6OsB6a8XF8Q49dgxQbMUKdNno0eZ0NVdZGGvXwtZzJiNH\nqmKnkvXhCDTatUsVGLUW6Yi7IrJwZ2AgAQq5n376Cf13/TqtSvv1sz/GokXcc1sFSGfMQDcLwdi1\nawO+eQpg3LqFLfPll7zTSpWC6VG2LOmYISHctzt3eI6LFWMtoqIA8h0BQ+5KfDwg+vXrpFsdPcp9\n2bIFpmkqiJGMJTGKfSaVtJLHlYbhDijhad0Ndwp0Ps42rp6ez94cfJlGYn1N3hYbdXYuX9WW8VZS\nuqEskopuXrZM6JkzK2upXDlx9mCE0DTy/BcuxGEvWBAqfq5cGA9t2uB4HT+Ok1uzJi95IXi5Bgaq\n9JFly9Tw06bxnYx4axpG799/M1ZAAMZ9/foUTnv4EIe+f381xmefAWzky8dcdu3CmGzXDqMjNhan\n8623iHwEBFADoWhRFX0KD8eIl2P+9JM5Wnf9OhXOs2cnPcRIT759O2EagfxUrQp1uHRp1UEjUybb\nv5Wf6tXJ9x09GjBk40Yco9u3Wae2bRX1V9dxOi5fBgSYP597YcSg5GfgQIys//2PdfrjD4z+l1/G\nsa5Xj+hQjx7QWuPiuM49ewAjpk0jWvTmm/ZreoSEqKKWW7fi1PXvjxH34AFGec2a5mPWr6fwmWTs\nyE4kQUGsuTQEZcQ3IkId+9576vt+/YhaDRnCOn/3HcDYvHkJI2IHDjB2s2bsM00jsnXuHPNo1owI\nbvXq7Mtff2Wv37ih2EKaphwcXYf2LMc/fpzvV63CGL90id/UqAHIki8faxkYyG+mTuU6w8JwWgID\nVdvbZ58V4u6lcBP9R8/4rPPqhI9JUrpudkcvf/SRarPrjty/jz6SbTDHjoVuPm4cz4F1ioWrMnUq\nwJgrYrHg4NWu7Ric+N//0GWuts3cs0cBvM5k82aAFGuRKRgLFjgfY+9eUs+GDVPOau3aML7OnePZ\nc0XGjVPvAlckMhJmha7zzrlxA2bXjh0AoN99B7g8apT5/VWlCmB+9uyk+AUE8P6qWRNd3qMHoPDn\nn/N72WGqd2/qOjlKK+jXj73kTKZNU+DRb79xDkfjbtuGLrOWEyeYv7P2t0Kowp0vvmhmbVy+zJ6X\nIErt2oopZ0927ULPjh1rnnfv3gDcDx7wfuva1TUAw2IhyLJyJeBOixa8y7JkYX/268d75eBB24VL\nlyxR7dWlREZyXfZYI76WVBAjkSWxHaTEKqL4pNNKHkcL1MSuieEp6PG42rgK4V03E+s5+zKNJDH2\ntS3xZUFTX0hKN5RFUtDNhw4J/emnH1lX+r+FAqQDOGoUPxs/HgOreHGM5K1bAR4uXOC/48dDebx4\nEYc2f35VHVzXcTylASe7SsyZw7+LFsWhjY4mujFqFL5bnz4wHEaOZOyiRfm9sUXphg1q3OXL1fne\nfpsxGjQg1WH/fgwjWRht82bm2KMHhvnzz8N0EMIMXvTuTQB86VKc16ZNibhbO/JjxhA5XLOG3+/Y\nAcDw669cu6xXMWAARmhwMMbQP/9gjK1eTerCxx9jdDVoYGYMWH8yZGDOpUtzX1q14rj+/WFUWP++\nZEmMsho1MFZz56aWhr3x8+QhCtirF/dj9mzW+uBBjNVZs4iSGo+pU0elc7zyCusvHXshWBPr8wQE\ncK2DBmHwL12KES9ZPfXrA2KFhJBiJIuKlirF2PHxsC7eeANHplQpjpcG9ZUrpKsYzylZPV9/zb9z\n5AA0u3aNe7R5M2PUqcMebN6cPXXqFJRhTVNF/4zg3OTJ6lq/+op7c++eMrY//ZQ0oC1b2HsDB3Kv\natdm7+/ZY66f8t57Qoh//hG6pA9pGs/qsWMeP+6+kpSum93Ry0eO4EC7G+nt3p1nVkp4OM/D6dPo\n11y5VEted+T6dRhQrtR0EILx33yT/W4LyNi0iWdE6m1XZfp0dICzeVy9ar91544dPDvO2B9CcN01\naqC3wsN5H9Spg/PtSnpIeDh6S9P4b8eOpKW1bAkpqm5dxq9cmfdU8eIAO/J5lbWMihQBpGjSBFCq\nTx+e/YkTVerQt9/i/N++7bjg45kznEMI3q2jR6uCxV98oTpgGMWYRudIZEqfELDhvvnG8e83b7bN\n8GjWjGtzJMbCndOmma85Npb7IwvFhofz7nPlnl+5AhuuQwdVKLpaNYIADRoA5tla3+hobIK5c9Gz\nNWsCVuTNy/0eNox38vnzzutQxMQwRqFCttNpJk5kfR+HpIIYiSiPw0GydnrdTcGwJ086rcTTdqvu\ndBxJ7JoYngIx7rZW9baGhifdTIySGGkkvi4Oak8eF1jiqqR0Q1k8ad0cH2/KEdCfekqIvXvFTz/x\nVYcOvMCvXcOoyJUL5z4+Hsrt3Lk4sqNG4VwOHkzkoUIFmBJCQLGsU0cZegsW4EBL5y8oSBVtlBH4\nfPkALiZP5u+dOvHvHDkwSIXAwBk5Uo2raSplYPhw8SiaPWoU33fogGEaEaEKfm7cqJZiwQLxyDmW\n4+XKBW20UCGOHTkStoSxTsO6deSwLlyoxvrnH1gNlStjnPfuTYTJ6Ix0764YIbpOJGr1agy9xo0x\n9oKCcKA//FCd79VXYcTIbhuTJ+NEWTs6Mp3k6lUAluBg7suMGeZiftHRGP+ahiE3aBDGX7ZsrNHL\nLxMN3LjRnN4i63rINBI/P4z19u1xoBo3xuBPmxaDXddZ9+HDzcU9CxXivo8ZA4umaFHWPH16872V\nTAddx7nQNM45YQLXU7ky9yc6GrApKMjc+vDcOTXOu++yhy0WrrVSJdb7p59IHSlYEPDhvffYjzlz\nKvaQXCtNUzU7jhxRmR8dO+K06TrnadCANWrfnr3YvTtG/40b/LdqVRyeTp045vZtWBvyHCdOCCG2\nbRO69pT60lay+GOW/7N3nlFSFF8bL/8YMICwiV2y5CigSM5JQLIkX5EMElQkSQZBCSpJUSQpkgUk\nCRKUKIgJBBEQlKBIzrvAwobpej/8vFTP7MTdWdLxnjNnd3q6q6uqq2/d+9x0r/PmQPnyk09qvXmz\n/+d/8QVr33UrHzYM7zGteXcrVmRtBVqasUYN36U/7ZSYCKBStaoz6PDrr8kv+yrvqozH23mPP+55\njC1a8G77Q3FxAK8FCpiQkiFDPCuRx46hvNeqBUBZogSv2IgRgKqLFgFMr1mDt8LWrYDQu3bBj8Sj\ny5cXg9DVq5zvS+kX+uabpGV8LYt+dOgAn65dm/30+nWU+owZ/auEsWkTHgYnTtCO7MOe6KuvuJed\n1qwBtPGWg8WeuNOdWN2rF/uc7GHLl7vPNeWJYmPZ30uW5Hk+8AA89YUXmIcLFwCOx48nT1bRohgB\nihQB5Bg3jmcr4HYg9M8/8PAGDTC4uKNr19gnAskXklz6D8RIRXJWkFbpadOmpRqQITkkggWa3Alh\nJckptxoIcJQcoCTQ8JMiRTrr++9fqYsU6Rx0zxD7NckBIoIR8hPsnBWplRzU3X3uxHwb97qgrG83\nb7abkZXSo9OP0l9/bQ5J7oF27fjetCmCxqef4g5arx4WvF9/BWC4cMEcsyyEPbvXggjCksvADjys\nX2+OVa+ORfq559j4R4824SY3bqA8iqW+cGFT6eS117BUiXVd8hIMGICgIcJU69ZG4LhwwXiEyKdh\nQxTv7dsBZSwLYa1MGaxcTZvi2ivJKpct47r+/U3OjWLFELzXrUP4W7IEd9NPP0Uhduf9UKcOAveK\nFQijdqF43TpnK9jJk7TXqROJTcPC6NdHHzFPnTo558RwOMiz0aQJQm7nziZ3iWUR7mIXYi0L19qF\nCwFR3FVksYNA69djMX3jDeb2888BQFyvkVj/JUsAIbp0QScvXx6BXUJltm/HkluunLlWvB9u3KA/\nzZsDkJUty7N44gnc3rXGqyZ/fhSgEycA2yZOpG9VquBpERuL0BsejiKTKRNroX17PpZFHLQdRNGa\n/smxtWvN/JJYjTWydy8CdP36vD+HDzPef/5BKe3ShWtGjTJ5QyQ+3eFgHuUe3btr/X7GYc4T6U/S\ng1Ske503B8qX33nHd1UQoWPH4E9S7tlOFy+yTiRfTUIC71/27Cahrj80Y4b36h7uKDERJa9aNXjq\nP/9gmZZwl+TQlSt4gbkmMnalsmUNQO1Kf/3FnARSunXKFN7rkiV5XXr04LhlAUC8+SagbmgoY/7i\nCwMoNWniDEp7o0OHzCvpLsTAlWJjzR7nD82YYfI7uKNr1wBbatRgjqQv/ngxSNUlAed90bJl7I1C\n8fFc76l0rbvEna60dCm/2wGELl0AFgIhy3JOgqoU/Dh7dgww5csDKs+Ywb7nb34RbyQlhceM8e0t\nNWEC+2Fq038gRiqSXUlOm7Z+QMp4cshdFYeUeGUEO6zkVuRrCPSaQICSQEEGQIwOOk2acbpIkQ6p\n4rmREiAiJc8m2DkrBFRIjao77u51q/JtBEr3uqCsbydvPntWW2FhN3d8q3IVvWaNEQCkbN3OnXwv\nUgQB7MoVgIlSpYyV+dlnARa6d+dYXBybdni4CYkQC464/yuFAHDwIPeyCx/lyyPQJiZi3S9WjPwC\nn3yCUCLWsu7djcXp3DlzfdOmRqCcMgWPgtatTdLJixeJW61Tx/m+o0cjtIslUsCL0qURxD//nJKY\nUVEIwlrTr9y5ndvJnZs+li2LFa12bcbsqeJIpkyAEA89BCBRvTqK77BhjHn9ehM2c+oUIMW2bXiB\nzJ6NR0fHjgjkrm03akRbPXtiXZw0CcVcwIFHHgHwUIoxrVjBOX37AgCULQs48cADzKO9ukemTCgC\n777LPJw9C/BUqhRKu9Z4NEybZq5p145jWgPMhIUh4M6dmxTM0BpBOzwccCJrVp751as879y5afuD\nDxh7ly60J2BHbCzjlntLHo0bN/AkKVcO4XnuXJ7Nr78ChPTujTfGsmWcP3++aePGDQNauYIrsbG0\nKdVdPv2Uvj79NOBar15YiaP/TXXxzjtct3GjyWcyfbp5Re35Ni5f1jqxRi3zvmbJ4tn0dwvoXufN\nSqmbz9UfOnYMJdKXcpSYSPjQyJGezxkwIKlSuWwZ78GkSf5Z/C9cwD3el3XdXf9atYJvp0lj1mhK\naP9+3gfhme6ofXtn0NWVBgyAhwdCW7ea96dQIZTY7Nl5t3v2xHPGXZWVyZOdw3y8kR18l/BJb3Tj\nBuc+9ph/yVQHD/bfC+XoUdOXRx8FdH/jDfYO4bl2On0aD4wsWUyCZm/0+ed4Uwh98AH7vet69JS4\n05UOH+YcOzhnWXgNJidiTuZWKYCpxYsJxwl2SVWHg/c3Kgre7Q/FxiI3ieEg2GRZAHH/gRipTDEx\nMXratGk6TZrFQQMXvN3L7j0RjISfwQorSU61keQo2akZ8hHoXNyKEq7JBSKSW81EKJhhGK7eF6kV\nRnIrgZLk0r0uKOvbyZubN7+541/JmFXry5edrErVqjm7zour7+DB+iaocfkylui8ebFGFC6MINWw\nIe79bdpgDU+XzmTvf/11FPu4OBT0rFnNPZRCMZcqHo0a0Y/p01FwK1fm/+zZuZ9lIVDYlUylTDI5\nUfzvvx934XHjULLTp8cS37Ahwt6QIcYjpFkz3P5Xr0YZL1QIbwSHA4E+Z07a/+svFFK7kOwuw/7B\ng7RXsCD9fuMNEkxaFoqs/XW7do2kcF9/DTBRrZrzuFw/1atj6XrlFcYwfjzgzPLl/C4JJD/5BPfl\nQYMAhV54wSSQ9PRp3Jjrtm5FQbML+2PHomQlJuKG26kTIEK5cvS7f39TvUZrxlqsGACNtD9sGDr4\nd9+ZkquJieQVyZ+fttatw61Yck1cvIgikzs3/TpwgGvXr0dYLV/etC9CsIuzkZ4/n2fpWrq3WTNA\nhlOnAB0KFmRMkshw40bThuTQsOfaGDSIOTp3jnH26MGaeOkl+pYjB0K/VKIQK7fkcTl50gBE8+fz\nXtkBo4sXtdbnzukrj0SYg+3bJ+/dDwLd67xZKaVz5YIHHTrk35xUqeK7IseoUfAxb+7+Z8/iLeXq\neXDoEDlVWrb0TwGuV88/xdqV7El0hw4NPJTFHS1YwHvrCXd77z3jLeGpT5GR5L3xlyzLubLRqFHw\nBV8g0MGDKPb+gEXixRceDtjti+Lj2Y+qVXNfWcOVWrXyv7rylCn0pXVr9pKNG+GzVaqwzz31FODN\nsmWAtwkJnF+mjH/tz55tEsaeP8+YXRNWekrc6UrXr9Mf19K6Bw4gE/gz93aKi2M/b9wYGaVGjeCD\nF1rDh+vVY38KxDNIa9ZivXrB79Pu3TxjKt945su3namm5HOngBhapw644O1e33//fdAUtWDl3Ehu\nfpDkACCB5MUIBARIbuLQQM4PJB9GcoGIlOZqCXbOCnceRMH2jLhVQElK6V4XlPXt4s1A9jc/15et\n0Q6HSfSYkOBsBT54kMvs5UiPHUMQL1oUwSZLFhTRHDkAKmbMQOHv3NlY0D74gFjlixf5LvHBSiGY\ni2B//jxCQsaMACMlS6LYb9mCAjlnDkLOkiXO3g1162JFK1bMWelUCuCiUSMUxCNH8NYoWNBZKD5y\nxDlZpYAXlkW+j4IF8YDo3NkkGk2TBiBC4opjYgA43n0Xb4zISMJctm9PKpj16oWFPjaWNiZNAviR\nEm7PPANYMGMGgkq6dPzfvz9zki4dXh5jx/K7XWhzLbEaF4flcfBghNbHHgPYefddlPksWYzXTM6c\nzOHDD6M0dehAeM1PPyF81qnjnFxV2v/qK5T2DBlMqpUGDfCsyJ2b/n32GcdLlAAkGDrUJDGcMYO2\nEhOdgal27ZwVyeXLOb9XL8Cm8HCsvYmJzsDCpk2AKTt3MiY5Xrgwa8eyWJOZM9PHzJm55soV5lUp\nYsbluYnHSrp0fE9IYI6k3fLleS/++AMAYskS+l6gAEpcRASC9nPPcf3uEKUlXgAAIABJREFU3fR9\n2zbTXpkypr0tW4xCWaPGv+/GVOd392Y8yy2me503K6X09et4Z4WG8s752hpnzCAUwRP9+CNr4Ngx\n7+1ozdp2p9THxvI+FijgnDTXHc2bB08MhK5fZ63ZQc6HHgIv8+ZJ4Q+98go82J2C+tVX8CNvNG0a\nOUL8UXD//BM+VbCgCWvbvt2/floWAOOBA77PHTKEuapUib3PV0LNxET22ffe8y+Eo2JFU+HLG128\naJ7XsGFJf79xA+B35EiT/0PKvebO7bt9rTEgCG76yisA4kLeEne6o65dCXdyfZbiVRgIxcfz3jVo\nwD6UkAAv9jfviL/0yy948bz+ugm1DYSuXwegcRdGlhw6exbDSUQEcg+glGe+fNuZako+dxKIobVn\ncOFWeWUkN6eFve8pybkRjLCHQMI4Ajk/kDwXgebE8BeUSO0x2ilYzyKlOStuRV4KT94XqQGUBIPu\ndUFZ3w7efO6ctiKMNfeHQmRdEyvO+PGcZg/xGD8eYSNXLr7/8gvnfPopYQahoXgERERg5dm0if83\nbjQVS1asQPE8coRrd+0y7TdvjpfCkSN85HjBgsTMWhYASXg4yuaqVVhxihQxIRTp0wOKWJZ20vFK\nl0aYF7fqpUsBFvr0Qag4cADBrlgx5+vEbTYxEeU1PBwrT0gIrs3jx9OOCPZi1bJ/smRhbM2acW39\n+igVNWvSnuv5jzwC4PPll+7d0itWdHZfvXABMKFLF6z/4eGAQTNmAAJ16EA/69RBaC1Zkr5v2ODc\n/siRgDQCDOXMiVC4fz+uvh99ZKq92PsbEYFVuUYNlP569RhnvXruE3OKwLpoEdfOm4eSHxJC6Eq6\ndCYWOj4eRcJ+fbFi9PXgQazDLVrgSdGlC2EgUpHk99/NNZ06cezkSXMsTx7aKlGCtfTFF8zd66+j\niERHc/+XXuL8N9/kvPBwlEel8CDRGqArTRrG0LAh41qxAmAiPJz1MXs2wn2LFgA8SpkQFPG4+OMP\nFBHJqyFgotamHxJX/l2WZjdPsrJlCzxmIAh0r/NmO18+cQJwMXNmrOKeLLyXLsGHBKS1U0wMyqK/\nyTZPngQItJd8ttOnn7Km5s3z3MaVK/TH34SFN27AKwRQbtBA3wQcBw+Gn1WqxBjchWH4036pUijw\nrnTkCAqeN0pMhAe5Aqh2io0FGA0NxXMuLo7nJe+Uv69Ku3a+q3Vozbs5cCA88513fIehyP60bx97\nni9AJls2kx/FG/XoYcY4ZIjv8+Pj4Uv2fXLOHO95PT76CF4rIX7ioSO5ppo3d5+405Xmz4cHuwtx\nqVMnsIS0CQnsr88959z3o0cN/w0GffIJ75t4ziWXPv6YMaaE4uMJ1w0L47nb+c1/IMYtplvtlZHS\nnBZ2Clb+hUBBldQM40hOItBgn5vaY3TtV0q8KIIVRnIr8lLcLd4XdrrXBWV9O3izlHZQSp/8X2b9\nx0+XnDwsZEOUvBOHDjl7JyxaxO92L4r//Q/h9OhRFN+ICBTlbt2wKO7YwYYr9e3ff99cK54Qrsku\nZ8821pyJExGgx47FUl24MMpEjRq4rmbMaCoD/PCDaWPSJDPsixfxGMmTB6vF0KGm1Ki9GkS2bAj9\nUVHk5ZDEcA8+iLB6/jyCSNasjDUhgb7Y+/7hhygZs2ahZCxcCDjw3nsIi3bQQilCYwYMQHkoXRql\nNm1aPD1q1cLaIglLleJ+48cjrL7yCgBS3bruS7/avQ8aNCBJnD0/xty5/F6tmhGoY2OpSBIainXN\nHtO8alXStmvWZE5WrGCcCxfS7mefOXv0lClDjhHLMqDApk3ERnfoYM7r2pVnXqsW5/7+O2vw/vsZ\nQ1QUHkDDhwMwSNjFU08ZcObFFzmWN68BzmbP5vmWLQtIM3cu81K6NNbLiAjmXRLpWRbAg/Trhx+c\n464l3rpECUCeyEgUgRw58L6ZPZt18s8/jKFoUXNt5sxGGbZXa+nRA8WrenWTj2D3bn6LjERR3rL4\njL6QxuSzcRvHlMp0r/Nmd3z5xx9ZwyVLerbqP/+8c14ToTZtWOOBUPfueEl5ot274WfdunlWPps1\nw4PBF8XF8W41aWKszJs2wYNatiTvUUwM/L9CBd6jUaMCDzX56y/eV9ckng4H/NCXKLJ+PWC6u/Gu\nXAmY2axZUm+XMWN4VSQcwhfNnetfIsaKFQEiH3yQ0LMMGXzPiQC62bN796aJj6ddX1b/ffvYX6X0\n66BBvvuttREFEhPh3TVq8GwGDzYJmO00fjx8rVYt+LMk7syZE08af+j33z3nR4mNBcj2N9VPQgJr\ns3Zt96D/3LmAzv6WGnZH4vlUsGDgJYbdUVwc+4O/XkGutHo1Y6pVy/3a+Q/EuA0U7JAPb5QauQuS\n692RXFAl0CoigZyfWjkxkpdg1P8yqckpq5pSL4pghpHcitKmtyJMJdh0rwvK+lbz5hUrtF37HFhs\npbYshIB06UwpPCmx2rs33+3VGCQG9vXXzbFevdicz5wxFSL++AMleOdOFLalS03iR/FCkJhghwOB\nXdqT0AGHgz4oRbt58wIK/PMPYQ4vv4wg9uqrnL9yJW2vWkU/w8LIxSG5MUR5zJGDPm/diuU/NBTF\nNkcOU0a0a1dzTe/expo5bhx9OXgQoEK8U0TJzZvXWOm1NqElTz3lHFoiCmylSs5VPrRGaN2+HW8R\nexiEfFq3Rtl9800Aodmz6ZcAT5UqoeiXLk1/lEJAnTrVfX4Me9vVq+OVsWgRisb//R+K+Lx5CN6D\nB+Nav3cvClSuXFgjZQ4nTnS2xo0bx++JieSnKFSIfq1eDdAlpU21BgSzVzSZPNnMU0ICSlNYGErZ\n1q2swaxZnbPy58/PcylQgHU7aZJJqGZZeIn064fwW748Csf8+ShrNgelm0k91641x0Q5+eQTfRMg\nOXeOc/LnB7zKl4/126QJz6NjR6zH0dEIxJ07m/Yk3GfOnKT3OHqUsf7+O9/LluWZStWUnlELnB9c\nIFkog0D3Om/2xJcdDpSjLFlQ4FyVvaVL8U6y04IFrAt/8ljY6dgxAFpvnhSXL7PWnnkGXuNKS5Y4\nVzVyRwkJgC/16zuXyrQsgLe1aw2QIcriL7+wX2TIwF/xzvOH1qxh/ly9TEqU8B2OoTX9fPdd8/3I\nEY7ly4dXgDs6cwavwchInp8vEkDCV1iEeBBmy8bftm0BTLzRffexjl5+2XvIw5EjtO+NLAsQ+d13\n2cN79wYQ90VSJSVTJufj+/cDjGfMCBi0ZYsBt8eMgX/nzw9v9pW405WuXcN70hOotm4dPNkfkgS0\nNWsyFk/04ovs5cmhw4dZky1aBP7ueqNp0wIrIas1HqN167LnSN4wd/QfiHEbKVj5Jm7lPVLq3ZFc\n5TXQcqv+nh9oTgx/S6YmJ9eGv2VSAz1f6E4KIwlmTg137d+J5VP9oXtdUNa3kjdfvKgtqf+plF4T\n/pJesgTA4cknTQm/6GiUJ6XIgaE1ceE1a3JuWJizdV2AiNhYlFNxZW3eHAGncGEsOOvXo0y+/DLK\n7wcfcN6JE8bboXdvzs2dGwFCqn6kT49impCAkJUjB2EFK1eiRF+9ioIeGekcbzpwoHbS8wYMMMrs\n4cMo++XLo6AL4KE1ORek7KVUEbAsLP+5cpm/VasCoEiiR60RSqOi8JwoVAgvleefxzvh5EmE4xMn\nSAp27JjxGPj0U0CF0qWxSBYoYDwslEIxGjYMUEHIshD86tZFoBw40ChV9pwYe/agTGfIgEXYVeHI\nmRPFXJT4li2xymbODEAgHiPy2bCB62JiEHSfegpQZ/VqAJYMGUg0JqV07aCOw8FcFC6M987gwfTd\n7iLuCtp064ZyEhfHWEqUYMwnTtDeDz8YsEs+4pmjNYqlgCUnTnC/nTsBiQoUADAQj5q0aU0bs2Zx\n7nffAdyUK4cSl5CAwlSyJOvn+nWez4wZJG6tUIFjH33EfdOnx3ImFlV7vo/GjXkffv7ZHBMg46OP\nsPwnJgJUlSvH2l+7Vuv3J1r6xyyNb15k5cwZXEnbB93rvNkXX75yhbUbEoJXkyhSN25wTHjnX3+x\nhpJblaBTJ1N61xNZFmBhRERSi3hsLO/jyZPur01MBMisXdu9d8O0afACsXrbgQytWaujRgEmVqgA\n+OlPvoAhQ+Cf9rCU//s/UyLZGx04AGh67BhzHxpKH3yVOG3RAhAwLMx4Z3mjIkW85y+IjwcYiY9n\nL9mwgeecPbt38CNNGsa9fLn3UqsbN+Lp4Y2WL2ef+eYbgKzRowFpfdGsWbCOF190/3t0NABw/vwA\nWVOnAvwLj/KVuNMdtW0L8OBJAZccUb7I4WAfk1LA3ujyZfY3f5Ko2mnlSt6nDz4IPMmoL4qPxxDi\nqaSwnS5dYl5CQ5Et7CCjO/oPxLjNFIx8E7f6HrcjrCS1Q0r8SQQKiOF/yVR/82fcilCSOzGMJKVg\niK/277Tyqf7QvS4o61vJm9u0uSmBxIdF6sJRF/SxYwjY776LZ4Nlofw++KBJCCfl8cTKt2OHEWQk\n4afDgaIuAsrPP9Nu2bKAFv37oxB/9RWCqySsW77cJIAUbwqtUYTlHhMmmI1761YEi1mzCA/JkgWX\n5yFDADz+/JPzjh5F4LYrtSKIWBZWpLAwhIJjx2hnxQrafOklU/3i229NyVXxPHn0UYSnLVvwLMiU\nybjGHjrkHC4i54eEIISEh3N+ZKTzOSJMjh9vkjkeO0by0SeeIEeG1vSnbFlAm8mTUcCffBIAQpSo\n+Hi8SQT4OH/eOWHq6NEoHBUrEnt8/TrPWxKiTZzI3PTpQz9OnkSgswNXSpmyqpbFM7IrUNevJy1D\nmiMHS3DUKKzDv/6KB0KRIqa86KxZxjXaHhZ0//0AJRkzoujMnw9oER5ukrxq7ewxpBRhM2Lt3b6d\nuZ8xA0WpWDHG/P77PH8BduLiGJu0IeFTDgdrqlkz/l+wAKWhRQs+27aZtdK8Oec6HKwNAeNeeMH0\n1e7hISFcP/3E98hIlEOHAzBo3Dieb1gYwFT27KyPfOlP6cQMNjeU7t0D4QgponudN/vLlyVJcI4c\nrBXLAngYM8YkGLR7DQRKhw/DO/xxsd+6lbU8aJCzEt26ddIqEFobZbB6dc/W7GvXuP/hw4ynRQv3\n7vsJCfCTihXhLyNHGq82d5SYiHfYwIHm2Ntv+6eAa22WfOPG7j1Q3NHGjYCnY8fCR33l9ejRw3sp\nXPHA0Jp5lMTEZcqwt3miBx6Az8TEeC+1OnMm+5Enun4dMP3rr5nHgQMJQfMWgiRUtiw80Ff+DMui\nfcmPohRryZeHiit9+ikhGd5w1kKFfHviOByEd1Su7L8HyLZt8H5PQJ6dEhN5f7JmdQbfg02ffoos\n5K0fU6fS744dPefGcaU7FsRQSmVVSm1USu1TSv2mlHrt3+MZlVJfK6UOKqXWKaUe93C9fzNwh5A7\n1/dge2UEWxG9lWElqVkZxN/8FamdayM1q54kFzgIlleDpwSbwQojSe32bxXdDYLyXcGbXRIZfPzs\nMj18OIkIBw/GHXnKFLwlsmZFsVy+nI20TBkUZq0RvB59VN90Qy1dGmWqTx8sUTduIPRIaVCpLFK3\nLu68rVtzz5gYwI2cORHCGjc2QpG9cEqmTKbEpSRfXLeO723a0Ea7dtzjzBlAjHbtzPXNmyM0Pfkk\nORv+/hvB+ZlnAGeuXePa0aOx0mfJgiutXTiqVMm0V6KEsZ7MnYuyuWcP923bFmF/2DCs7q5uwpaF\n4j5wIGOWSjDFi5MEUwT+uDgUIGlLlIuTJ/luV9IzZKB/RYvy3OTZ2D8ZM2L5S58e5bdYMedSpPJZ\nt864rZ86xbPKkgVlXRTv5cuNQq4U4Ef58ljsvviC84cMMc+ySRPWgJz/8MOAEA0aYOF76CGUP9e+\nSHLZNWtwvX7qKZ7h6tU8x2efxXVaHIvKlUPIa9WK53Dlism8/+CDhPD88w+gW65c5EOpW5dwHFlb\nYWGm0Mfmzc79kYSa169jbX7jDYTpJ5/Eq6R8eYC6Bg3o+/Xr9Encuq9cYS7Ey2X9emcgq0QJM2dv\nvMGxokUBMg4dYi0cPIhFrl8/lOTOnfkse36Oc2f9KWUQBLobeHNKPoHy5U2bWA+VKqHkFSmCx1b1\n6ikv9di6tX8Waq15D6pV476S6Hb1apRWOzkcrKNKlXwrg337mtBCATLq1HGfh0BrgLv27eFPbdt6\nDjU5exa+Je/XkiW8Q97o/HlnkLthQ+/n28my8KD69ls8C91V8bDTypXeQ3HsnhLDhxtAZs4c7+EC\nDz1k5s5bqdVhw7yDDKNGmfE/8wxr8L33zLPyRLt3M+8tW/rn+aI1a0nmvGxZYzDwh379Ff7qLf/H\nsWOc4+1dcTjgeRUqBO50Jvuyt/bPnuW9qVbNvDupRQkJ7KX2RN1CmzezT1esGFiYltbe+fLtZqiR\nSqni//7/2L+CcQGl1DtKqTf+Pd5PKTXGw/WBzcRtpluR8DOYoSW3I6zEX4+JQM/3ty+BgAeBAh6B\nVDEJtKxqSpKABsOrIbUTbN6NCTw90d0gKN/xvPnyZW1lyXJTAol/vqXOmBHreaFCeC1kzIji+sQT\nWA0zZ2aTHT8ei4fDAUBRtSrNSEymJEtTikoZWqMM25XWiRM59803EbS2bTOhEq+/zrFr1xBK2rfn\nujRpEPLeeguhs1kzFGTxeFi1Cst/xYooozt2oMCGhgJcpE+PgCfK96+/mj6NHMnYJGljgwZYdnLm\nNGESx47hyp8nj7lu6lQzpZ99hgK9fDlgSmgo4xNr6XffEbtqWbg+Dx+OFSp7dhSCUaPo/4cfck79\n+nh1fPMNyn3JkihCb77Jb1FR3EMAFbH6LVmCELRrF5adihVp9803yS0h4SQOB307ehRgoFUrMy75\nVK4MMJAzJ141o0cj+GXLxnPfuxeA5513eDadOjE/48ebsqoCHDz9NIKylJxdtAgwolYt1lr37oAK\nCQnkTlm5EuHb3h8BVMaMYY1MmYKQO3w43iaXLwOw2HNo2L0a4uNZT1myMN6MGQG9fviB+X32Wfon\nLtFircuZE7BswwbmTNrt2pV1ev48a1ISmRYtivCbN68JLYqOBoDIk8d53Ywebdpbv965ko5UhLh+\nnfcjb14DZLz/PoL7gQO0f/Ysz2XcOK2zZLa0o179mw1ZEl+VynQ38OaUfJLDl8V6ag+/On484GaS\n0IEDrEl/t2+7NXnbNt6F0FBT5cKyeAfLlvWvzaNHuV6WVUICfLZuXc9Ahtas3dGjWasVKgD4uYaa\nfPcda1qSQufJ474ty8IDKzISDwm711Ugni7jxsEPTp7kfZfyxu5IPCU8eanMnGkShc6ejaeV1uyV\nEREmn40rPfywCYPwVmq1bVvj3eFKx4/zTA4dguelS8d9x43DA80bdekCHy1bFu8df6hDB0BUh8N4\n602Z4jvUIjoaXjZnjvfzpk93DpV0JcsirNDfNetKCQlcO2GC+9+//551OnBg4F4myaXZs51LBh89\niqyTPTvvSnLCWO5YECNJZ5RarpSqoZQ6oJTK9O+xSKXUAQ/nBz4bt5k8JfwMpldGMENLghVWkpzE\nlMEsQxpIX/wNEfG3zdSseJKc8dkpWJ47qZVg05P3xd2QwNMT3Y2C8h3Hm21lH6zwcD1jzDldtSoC\n3A8/ABS8/DLW6pdeQkAcNAhLS2gof69fJyGnUs7ura+9ZgTJUaPY/OV7+vTGivDZZ1jc+/ZF+Jkz\nh2M5c2I5/P57Y+GPijI5AaKjTXviZnrxogk/KFUKC3d4OK7IAm7MmsW5V64kVY4FaJBqH5kyoZBv\n2IDVq3hxE+KiFOf172+E1RkzzL3t4IVlkW9hyxbnSiuuyTxHjzaVT7ROWhJWvCdq1uS+X3yBcCMC\nTf78xqIVF8dYixUDJJk+3SgVkhPDsgA53nqLPmfIgAIyezbzPH26qcbhcKAwzZuHIFypknOOCHnO\nQtOnM/fLliHoL1mCV439fOn3558zF+vX47mTMSNCqVQRiI9nDPZSgStWcH3z5gA3//wD+PD004Aq\nQvZ8EkoRxxwba8CzXLlQlgYOJLSnWTOT8DRPHqNYSZlhpYyl76+/8HB55BHmfscOFIfISMJnSpVC\nufrzT46FhRkL7x9/sL7WrAF0adjQtC/uwXZgo2VLhO3vv6etTp0AMs6cQQl8/30shfPn02bOnP96\nqMw4oS2p3aqUiddKRbobeXMgH3/58qlTPItRo1in+fI5r8V33/Wdq8EfatnSVKvxl4Qfjh/PWnrn\nnX+TwvYEGHRX4tIT2UFRrU1py7p1fY8vIQE+VqkSoOLbbzuHmkyYwDt95Qr8xhUY+ftv7lOkCHuW\nkJ1XiLegLzp/nnxH58/DX3Lm9D4P5coBLrujYcNMvpKtW/FaFBo0yDlE0k6PPmr4y9697I3uFNYq\nVTzn623Vynh6ffEFIT5aM5feXv+YGHjv8eOsDX9SyO3YAT+yz9O+fXjI1a3rOUxDDAVS5tobPf+8\n2bfdtfPaa3h+pqSa9OHD7Ff2XB6WhSdheLgJ27xVlJDAnrJihcmvM3x4yqqp3BUghlIqp1Lqr3+t\nfpdcfrvo4Zrkz8ptplvhleGsWK7S06ZNS7aFPbmeHXZAxZ/rUjN3hD/gRKCAgz/eFalZ8UT6Eajn\nhr3/KfFqSM0Em/eS94Wd7jZB+Y7jzXa3CKW0tWixLlQIJbpPH0CHbNnYxKOijHXn8GEs8+IaX7u2\nyecgIIA9b8Dx41g55PszzxghbeNGjmXJwjlHjgAYREQQivHmm/zfsSPti5vqli3OykCRIgi+5cqZ\nY5ky0Y8rV1CgJdzkwgWEAXvVig4d8CRo1MgkNVOK8UdGIkz07QvAUrkyAqnk/LhyBe+UYsXMdZkz\n0+dGjejbI49gDXMFJMSqc+UKsfOlSqGM792L4GL39pBPSAhKa8eOhKV89RXPJDGRZzFrFkpT5syE\nxyxdyjPYuxfL4sqVSdt87jmsO65WxYEDeQbx8VgOlyxByfi//yPMwRXEEKBpzBjAlR9/TGrBunjR\nnJs2LcqUWFKjoujnmTPMd0gIXg4dOzIWyVkiz7dNG8ZWtKhJsjZtGmDBmDGsx3z5AGX++MN5bYwZ\ng9A7Ywbft2+nb8OHA+bYvSy+/94kR5XjsqXs2MFvPXvyd9Qo5jksDJAsb14E0u++M9eKkrZtmznW\nvTvAU79+rAWtUYLl9yxZOB4fz/vZvDn9KVqUtkNDUUTFhb1dOxSS6tW1U51f6777/DexJpPuNt4c\n6MeVLwvA9/nngIu1a7OmQkKY/9694R2//cZ6t1ctypWLdzQlCQL37OF+gSo4R4/ieRQSQj/69QOo\nFY8lf2nDBkLD7GOIj/cfyBDavRteLEmGd+6kzeef5z0sWBDPOa3hJx98wLp/662kSQ1lb3nwQeZm\n9mz/+iD5h7Tmnt48AIYO9Zynw54H4/hx50ofUlnGnfj12GNGGbcs+Ke78p05c7oP29i+HV4he+zL\nL+OBoTVApyfwRGs8yJo0oV8PP+x7TVoW+7Y7j5C4OPawTJmcEzMLffQRa81b9RCtWUcZMpjQUdf7\n9+zJGva39Ko3mj0bD9TYWObvhRfoo1RESw5ZFu/lmTO0s3s37HfNGrwQP/2U5zJyJLzjlVcwHEiI\noVKAPa5lgZNDdzyI8a9wvEMp1fDf7xddfr/g4bqUz85tJE9eGcHMISBlSNOmre931Q9P/UyuZ0dy\nc0f4k4sj2N4QgYadBDsfRqBlVVPquZGS5JuplWDzXvS+sNPdJCjfcbz56FFtZctmdsmmTfWmTfqm\n9Tk2FmX3ySdRApcsQQh/9lmUyDJl2ORr1iSkIXt2E7v89tum2ffe45g9ZlY8MPbtM8eGDUPR27cP\n0GLGDO5RsyZKelgYitqNGyi3ct1DD5nSnnZFesIEI9BPmoRQt2YNOQVCQlAACxTg3MhIwJgbN5zb\nKF4c4e+PP7jHjBlGOU5M5NjevWTAd72uQwes6IsX0+8RI0yOBlGAM2bE0vXHHygAVarg7VGkCK7e\nvXvjRWBZXHv4MP+fOkV88+TJxgLlCiTI58EHmSMBYlx/z5YNATB3buZF8mNIBRrXT+3azOHMmQAU\nImx/9hmKhiT4LFmSNkqXxiKYLx9r5/x5FLby5U0Vjgce4PyVK8klEhVlvEnOnjUx7iVKmFCftm0p\nh9q1K2OYMoV1Iykfjh5lPqXfIoyfOcO9SpVCwRLPiDlz+F8S7kVHO3tBKGVKvYpypBTjjY/HShcV\nBbhWpQpAwrhxrLs8eYyQv2gR1zVrxve5c01bkihOQkYkaWijRsxjkSLMf+PGWD3lvRw0CCBjwABA\nvEyZWJeXLplyxb/vt0hUIEBGjhyBBa4HSHcTb07ORymlp01j/ZUti+L5xBM8m+HDWQ/HjrlXAitV\nYr1t3sz6+OILnm3lyoHHuNupcWNc+QOlGzecS/uKp1sgZFnwMAm5E4qPB3h77rnAPE7On4fPZssG\nr5g2jflVCqBo7172hwoVPIdlxMXhVVGiBCESkZG8L75o61Z4pSifBQt6Dnf49lu8RNyR3VPC4QCw\ntYNMTZq49xBJn97Zq6FzZwNCCCUkwNtd59ThgL/Z+5srl6msNWmS5/y+lgUQ//XXAEWFC7s/z05z\n5nA/b7kkvv8eHvjSS2ZcktzbHxa0dSvP0F1/+/blt0BBN09kWaaseLp0rLHNm1nXy5fDrz/+GLlm\n6FBCaDp14pp69XjmTz/N+smShWf5v//x7MPCWMNFi8Kna9Viz2zTBuCif39kJwGa7HuPVGtLKd3R\nIIZS6n6l1FqlVA/bsd9dXJZ/93CtHjZs2M3PpiAmfxJF6lYoTMHMY+Gu7WnTpuk0aRanGCRJbuhB\noNcFmovDn7wYwc6JkRr5MOTegZRVvVXPJLXacKU7wfsi2O/+pk2bnPjU3SIo35G8OWfOmzukFRKi\n9ZkzukYNDkkow3PPIWiIwlWxIhaqsDCsz9WrY6Xq3h0BxbLY2B/G8jxJAAAgAElEQVR+2Gy+kgCr\nXTsE/gULuF7yWyhl4o5PncJ1tkoVzpk4EUUga1YUul9/BVQpUoQcCkqZihd2QETizB0OFO6HH2Ys\nkm9hxw6Ek8aNUTxF8LbnNxVARmuAhrp1EZZ++AEFpUsXgBtXJX/+fHNdbCxjiIpCEX37bRRtUVRe\nftn52ogI+rd1a1KhsFUr4uljYlCUx41DcMqXD/fjcuWc53TfPvodG4siMWsWFqanngJYad/eOR+D\n1niozJxplP/QUOf+PfQQHiXPPMOz/OQTrErx8Tx/aW/JEp7f7Nkkw2zbNqkXyty5nDtrFh4jY8bw\nbJ9+GoApKsooJz16cLx6dZT5339nXE89xXr85hueRe7cKJNSvvLDD839Hn2UsBaHg9j9unUBBHbt\nAnAKCSG3x333OSsWdo8f8U7SmrE99BBr4umn6dOHHwI+nD+PB1BYGICWUlgSReGQUoTh4Qj3W7ea\newiQISEjZ8+yFkuVMskGGzUCONywgXk6fx4go1AhvD5CQoy1VdZ0x45a62PHtPXYY+ZmTz6pg0V3\nK29O7kcppdu25f3evNl/K/DWrSiVUvmiY0fepYQElKNMmViP7qzOvmjnThQnb3koPNE335hl4Ss/\ngSeaMsV9Is34eJS1evUCD51JSICfVK7szD/CwpgvX0lRGzfGUyI8HEAhIgIw2xtZFu+SbLW7d3O/\nw4eTnhsXB2+TnE92cvWUyJfPOXnlxo3cxxXoypDBWSlftgwvNDv9/TfP2pU++QRQTdo8fBg+It8/\n+oj15o4kbNPhAGiuX9/9eUJXrtCH7du9n6c1PLdrV/j0/PnMzeLFvq/TGgNF//7OxywL0LZYMZMf\nKSXkcCAXSBipfCQHVZUqzMcLLwAq9eoFL37vPdb93LmEfWzYQGjr/v3ILpcu+VdSWOj8eeYpIgLQ\nP39+vLdCQ/0r++uNqErmmS/fCUx1tlJqvMuxd5RS/f79/5Ynj0uudTul90ytMqzBAkkC9ZJIyXXB\nrhIS7JwYqZEPIzlgT3LCQYIVRpLSNtxRauXW8EWuYTGp+e7fLYLyHcebp0933qnHjNEnTvBv69ac\n8tdffH/sMeLzf/8dYahqVRSmKlVQXDdvRgm9cAFhsUgRLA158iBAao3QmCOHcZ3dsMHcWkCOq1eN\npa1oUSxH0dHoWaNHG6Xwvfdou04dlEfLcvbyEHfoU6cQPuT4G29w7PBhhMkBA1CO27QxUxIZiSC3\nciUWwHPnyP8gSmjVqsxHtWqEDDRpgrAhFTq+/RYh7cIFZ/Dil18QoMPDTcz23r3Oj0BAgowZUWSy\nZUOgFG8R10+FCghPv/3mXApwyRKjSFy7huVNgKF164ww26kToMOJEwi2NWpgNZJwGhHKIyNZC2PH\nIkgNHYpwP2ECwEqBAqaSSo4cJjng7t0IqgMGmMSvK1aY/jdvbkofTp/OvB0+jPBsD8tZvpznfvYs\n7Xz0Ef0YN47zM2ViDV6+7Fx5ZssW5ts1H0aBAgj6166hQD79NOv777+xhsl5rVrx3CIi6IN4gxQv\nbhST4cMBUmRuJk0iGW2VKox31y6UFGlTrKl//22OiWWyenVzTDLS9+mDG3FCAu/YqlXMxa5dWLfr\n1DHu7pbFe/nAA6YdSbQooNTVq1rHv9br5gmWTHAq0N3Cm5P7SS5frl3bGTy8eBE+IUDupUs899BQ\neEyggETduij3gdDZs6bEtaydbt2Shmf4oqtXnROE2kmAjPr1k58DxF6++8AB/66ZPp18Id264bX2\n3XfwhS1bvF/3/vtcJzR+PMC3O4W0Tp2k4RIJCbyL9rHWrs3eIiRgiWsFipAQZ8VcEojaK258+y3A\ntZ0uX4Zf//yzOTZ1qsnXpDVr4+WX3Y+5dWvjOfnee/AybzRggHPb/pA9VNPfBJklS8Lj7TR0qEls\nnFw6fx5A5aWX4PP2ylpK8V56KwMcTEpMZG8LD8eQcewYMoCM+513TDhlcql3b+98+XYz1PJKKYdS\nardSapdS6helVG2lVIhSar0iI/7XSqkMHq5P/sx4oVtRCvVW3ztYIEmgXhLJvS4Q0CEQLwtfHhuB\ngA7+gB3JAWMCLRkbSDhIsMNIktuGuzZTK7eGP/eW8eTJ01jff/8qv4Gk5NDdICjfkbzZZtY6dV+U\n7tzJuhmjLYKShGzMm8f3Xr1QGPPlw9LTrh1Ca968KJ6vv45CN3IklnoJD4iOZjP++mva+ecfIyQ0\naoQSefiwydjfsyeCe3w8log6dXC/rlAB60b58gAVJUqgf8XGmnAKSfQo7qBKYcERhXzHDoT1yZP5\nP1MmhKChQ7GO/vGHmaLMmZ0Fmo4dGWd0NAr6k08ikIvFNC5O3wzHkbGJx8W2bUZw3rsXBT4iAsEk\nWzYE4Lg45v7CBRKhrViB0O8KXgwfzvgKF8ZFtXBhvo8ejRKyciXjeusthOiiRfEQ+Pprcl5MmZI0\nTEIp2lixwiSmvHCB/tx3n7F2Hj6MIFWihLPbuz3Xg1II+xMn4jlTuTLzJGEnffqgHAwYgLD+8suA\nGR9+CIj199/cb9ky5zZ37TL9OHQIr6AKFRDKo6JYV1o75/v4/HOOzZ7N99BQrNw1a2JBfO89+vPE\nEya/yenTzh4t06dz3LIQdpUCaJo0if60acP49u/HW6JGDdZjq1ZcExuLAiXtLVnC82nWjO8LFtD+\n11+bcx5/HOAvNtY5ZKRHD57fM8/wjrRsyfuQJQvvgmtYlfT9wgVzLEc2h776gC3hR4cOgfMPP+hu\n4M0p+SSHL+/YwbNyVeIXLSJkwX78zz/hITlz8ru/ysv33wMm+mv9tSyAD8nrsGkTYKas40Dj8Hv3\nZu9wR/HxAL/JATIcDsC6557jr7xfvuj4cfjMqVMAgL//bgBlSQbtji5e5D0UkN3hwP3fXUnTsWOT\nejf89VdST4muXZOGBUyezJzYSUBbO1Wt6pxYcvbspLk6eveGd9mpaVPnMqlTp7pPpHnhAuMVUKBr\nV3icJ5LE3v4k/hT68UfDdooUYT59eVGcPUu/7IDa8OGAP4GWOXU46MPw4exR6dOzFidPZg+rUIF7\nPfII+9Ubb/AOpgQ48Ie2bAG4r1zZ5Hvp29cZIEpIQFbyVI3GF504IQnJPfPl285UU/JJbU8Md0k3\ngxnqEei9U8PSfSvDCJIbVuJ/XoxVOk+e1h5BBX8AimDnxPA3x0WgyTlvRxiJp1wVKVX0Uyu3hq97\nyntsn5P771/87/P6zxMjJZ+g8+bffyex37/SRMwXa52UNgk/UArLhGWhMMnv6dKh0DscJrlgt24o\ncFLvffFiFMuEBFwvO3bk1ocPm3YOHqRte3UQyTlgWVyjFB4Q77xjyva1aIEwV6wY1osmTbhn4cL0\nyeHgPKUAJsTNe80aBNfly2mrRAks8u3aAbicPs19N24EjJE+VatmhJj4eHJbhIUhGB46hPWkQQNz\nvnyEdf70E/edOJG+C3ghYNHcuSjVWqMIDx2K4pozJ4BOsWL058QJXEvt4MGNG3wfMgSB2bUPSnG8\nRAnG0bQpAuwbbzif8/DDeG9Urcq5OXMizNnP6dcPZerwYRKRhYfTzrVrWC07dkQQDAsDeGrdmmdX\nvjxASEQEAE5YmEmSdu6cATM6d0ZJz5PHzN3q1c59ePxxBPeZM1GuJkygvSxZWH83bvD8JXQlbVqA\nNssCCOvWDY+PMWNwvW/RAkE8MpI+ilv0nj3O9xXraVwc81i7NkJwtWoI89Wq4cWRkMD6kIiNoUPN\ns1q82LQnVmB5Dc+dYy1nzQqgUrMm87V0KXMaFcU6CgvjXaxWjTEkJCDoPvAAc3PhAmPt39/cS2tA\nNzuIchPVUUpbDz4YnDqfLnSv8+bk8OUmTdyXcJQyysOHJ/1t40Z4QIUKgCD+UI0a8DZ/aOJE3h07\n6NGqFQrxmDGmYpC/dPgw75SnBKN2IMNfTw8pn1mpEvvT1asosf4qdMWKASSPGwcIojV7SKZMJleE\nO2rb1rniy8mTzIeEWwrt3g2Yb6ctW+B9dnr33aTlTWP+rQZiB4siIkx1Ivu19lKrI0aY6iNa45kS\nFuZ8XWIivNX+ek+f7h63lNKyQrVqmVBNd9SgAWC4P2RZgCfCg/7+G94lALK3PDDz5gEkCI0ciTed\n6/x4orNnCY968UXmp1Ah1vb69QZIE2/SoUORIxYu5PiNG6wdf9+lQOmffzAeZMsG4C5yhuyTriFl\ne/ZwPDnsunv3O9wTI6Wf1Ezs6T7p5qp/LbWpayX2lPAzGF4ZwQgtSXlYiXewwfV8f70i8uRp7DV5\nqT8KfDBzYvib4yLQ8KXbEUaSWrkqYmJi9NSpU1Pd+8H1nq6gies7kZogyr0uKOvU4M1iTlZKx1Ss\no7XGi0IpLP9ZsxphQzZLScCoFJZzh4OwiIgIlN/y5XFlrVULIaNPH5Teb75hg758mVhg8W54913a\nTUjgd2n7zTdpm80WZVrKnfXrx32uX0foXryY8ypV4rt4jPTvj5ttbCzuwyVLohxI9QmtEdhKl0YZ\nrVsXoGPePGfwYvBghIzISIScfftMaEfDhijbmTKhrNtBjCFD6EObNoA6SmHZsYMXFy4wrlWrmC+5\nNnNmhNwff0SxrVQJAU7CArp2pb8LFwIgVKuG8po9O1Yau+Ldty9jDA3FOrdmjbOi0qkTVv21a5nX\nvHkBJ+znfPmlc5uVK9PHkBA8POy/iUfB0aMIgl26MNbly/EYsJ/72WcIkfv3Y/E6f96UNxVQ5fhx\n5vvLLxFYGzUCHOjaFS+GkBAEUluuSl27NopXmTJmzZYogSD7228IgL/8Qt+7d0fIP3SINqWN557j\nmS9Y4OxB0aoVz+3SJe47dixCfFgY66lQIaOg/vSTqW4yYQLX1a1r2pK4eBHsX3iB7wMGANKEh6Og\nRUYyjp49OV69OsLu0aM81/37GUPbtrQjwr5l8b/cLyKCPsp3y2E5Z4NNhZKr9zpvDpQvS8JieZdd\n6dgx1pK7KhSJiSbcrU0b39bvzZvhT/YwM3f0yy/ucz2cPs3xPXsI/YuMJLTFV/4Jofr1ScTpieLj\nCTVs0MA/IGPQIHizvXzmvn28A95ACKEBA2gjLo55WbuW4wsWwM/EC8uV7DkihFauxNPFngPF4eCd\nlVw8WhM24eopsXixs0Iu9Oqr9E8oU6akZUldS6126OAcllSnDjzJTj/9BF+ykwD3drIs+L+ENGnN\nuD2F7Kxdy+/+eNPExnI/STAshgqhzz83ZdXd0UsvmfCod94B4PdUslVr3pXt2wEknnnGhEhOnWrC\nF4UsC1kkUyZCLd97DxnG7nkh+4a7fCjJpRs3eJ9CQnjudp4ggPuHH7q/dtgw3q9AvEP++ot73fE5\nMVLyuRXVSexKbZ48rZMkyEzNBKCp5ZURjNCS5IaV+AM2CAW7NGlMTIwuUqSzvv/+lbpIkc5evSd8\nhYn442Hhb/+Tm//jVoaRpEauCjvIkzZtfb8rsqTkfp48SeSduBXhK/e6oKyDzZsPHdJWmjT6phX2\nu+03vS4KFOCUH364+fNNC5x879TJeGbky4elu0oVlNUZMxA0Y2MRCnbsAIRYsward2Qk1sRSpRA0\nbtxA6ZS2T54kREC+v/CCiQefMgUh69w5BKhChXDLlRrqkihv6lSEVHGJjY427UmcsOT6SJ8ez4TR\nowFSqlQBfAgPd3a/XbjQtKEU540ZAwhx9iwKdYECKKnVqjG2mBjna5Ri3PnyAWg8/rhTXtWbHxGW\nDx5kHH37ckzKrcp5DRsSLrJ6NQrH1KkIWqNGGbfTH3+krb//RoEtUwZBpl07rmvTxgjBloUbebVq\n9GvKFJ7PpEmAEdHRgFfZsjH/p04BwAwf7tz/UaMQ9qKjEapr1DDC/tWrScebJw/z8dhjPEt7Lgz5\niCJmWQi64eHc98YNnunIkc7rRilTFaJ2bfKM5M0LWNGrF+O+fJmxNmpkyvudOePszaI14Ip8L1AA\nj4ilS1lDmTMT8vLbbwAlkmx26VKuvXZN30yUqxRARFwc/6dNyzq5eBEvirAwrjtwgPfkk08IV/rl\nF+7z4YfMVcuWJsHfRx+BQyQmGld7pQDjEhLwjpF7S5JA+T52rHZKgGClTZu8TJJe6F7nzYHy5Vat\nWKveaNIkeKQnsCA6GjA3JIT331tpyooVTfJcd3TlCvzInojYTpMnA246HIC5ZcoAOviTwPSbb3gf\nvClacXG8fw0begcyxo7l3XOXm2DWLPiGL1HDXt1i+XL2D+ErM2YAArsquFo7V+uwU/fuvIv28bVo\nAQgsNHw4wKydduygPVf6/Xf2TAEFoqKSAlWupVarVzdgzKpVzIPrPI4cmRSfnDnT5IES2rDB+Xl5\nqnyiNQCUgMu+6OhRZIJmzeBVdqDGTr/9Bn979VXnMTgcAH9HjrCH5cnj3gvh9GnWQsuWAFtFiwLy\nb9zoeW1dvgyQVqoUe+SxY1zrrlrK+PEYRnyBgr7IsgDBcudm3bsr2zp7NnPmKV9IXBzPytN76446\ndjRz/x+IkUJyVfrtFtvUTgKYml4ZzorpKj1t2rQUKbb+WNBTO0eEt3MBMTroNGnG6SJFOnhNAOpP\nklB/PSx89T+Qsqq3OowkNXJVuAMT7r9/sZ4+fXqqh2ndzqonQve6oKyDzZslRkMpvTeyutYaoUYp\nI/B++y2gwOefm0SbSuHRIEKO5MuoWRNl7Z9/UMR+/RVQoXx5rNht2yJASjhFWBgWtCtXnBU8id3/\n809zTFynV69GsfvzT+5frhyuoZGRKMx16qCMr1mDICh5LdauNW0pxXXR0Si0cixjRpS/HTtQIsPD\nschoDZDQpYtzG/ayd8uXI2z27s29IyMBYhwOrO9yTZ8+KKXr1iGAnjplrD/NmyPAHT7M3MTGAiZE\nRKCsvPUWXg1SbnXdOhR+AXf++ot5fOYZgA6tmSOleHarVqH4v/8+Xi6NGzuPRwCRtm3xxhk+PKnX\nRJkyZszffIM1sEMHMxfbt9PHb7/lmYeHIxi++y4gUYECPLtffwUkiI9HkHv6aRT1L75AMdq3D2Vh\n5kzjWSCf+vVZP3v3staefZbrZcxaO4cqjRzJPBw8aJKRRkUh1GbJwpqMi+PZly0L6LV/P+c0bcqz\nEBCoZ0/GEx4OcJA3LwqLhCf9+CNjGjbM3F+St376qTkmyp+EekgCvaZNUXClykjZsszPc8/R5sGD\nKC8S+vK//yHUOxwAatKOw0FeBblf9epYksPCzDth9/r5bpvl7L7Tu7dfLMRfutd5cyB8WUIs7PzD\nHSUmouxNmeK7vaZNUb4lqbArff0168ETINK+Pe+Zt74884xRzOPiCJnKk8fE7Xsiy+Levgpp+QIy\nZsyA33jLy9G+vUls64kSEkw5a8sCwLRXIJo4kXG5s/BPnoyHop1iY+F5s2aZY9OnO3tetG+f1Bvl\nwgXAc3d9rVnT7MFZspgcP3ayl1rNkwfQMy4OnuTq4aA1/MFeZUtr+vzSS87HmjaFtwkdOcLackfj\nx8N/fXkCrF3LHjdhAgB81areE3leukT1mgoVzHPYuRNw5v33kUlkHSQk4DUiHjoZMvCMpk93P2+u\ntGcPc9a1qwFqGjdmj3RHDgf81BcI6Y0OHkRWyZfPc3WcixeRI2Tv8UQ//cTc+pMT5M8/2QMMkO2Z\nL992ppqSz60CMexkt9jeygSgqeGVYQ/vSJu2vl/eEd765E9YSaDX2AEkX3PrK4eGP4p8sM6R/vgq\nreovIGJvLxAFPCUgRGrkqrjVYIIn74tbVfXEHd3rgrIOJm/++29t2UoXrB24WScmmozc8rrUqmVi\nja9du3m6HjgQa/r27Xx/+mmUaUkMJ/HcDRsiJGXJghdDWBjKd82aCAEXLqAYFyxoKilcukQ7ktxz\n8WJTnjI83ISBSFWTkBAUNLFU//gj52/bRvtt2ph+K4Xw5FrOtHdv4/47aRLt7NyJ90m9eiavQcGC\nCABVq6IMX7pECEnu3CjDZ88CMqxZg3JRqRIgzsGD9F/ia69eReG0gxd2evZZBFzpX6ZMKA2u5VbL\nlGEePv6YMffogUfAsGH02xWkSJcO4XfwYATQmTNNlRDxLPjkEyyegwYBELm2kT07Qt7IkYAOTZsa\nr4wRI5z134QEFKj27SWRmPnYhUSxSj39NNbJpUvNOF99FWvnjz+aMq+NGwPMREYa8EEpwJL4eITM\nQYNYx8WKIaAmJgIatGplqpy0aYOlLiGB+/XrZ/o3ezb3X7GCuTlyBKE4JARlJls2AIHevelH69ac\nJ67G9uoJ4r2xbx99ERduKQWcMSNKyJdfsl5ee41+TpnC/B4/ztrfvRuLpiTeVYpnqbVRjg8cANCy\nJ4KVuRw+3Cir9sR62bJpHT3HlIuxHnkk8Ex5Xuhe582B8OXOnT1boV1J4t79SZi4ZQtKXNmyBjgT\nsiwTdudKCxagTNmrXbijHTsAVO3JF+fONeWTvdHkyaY6lTeKi2PPaNTIGciQvEqeQj2Erl3DMi1A\nuCdq3tzkNvj1V8Zl9yoRwNg10WR0NEqyK8Ah+Z/Emn70KDxblPtq1ZJ6cFgWXnjuklkuX24A42zZ\nnENThKTUqsOBh1lsLPxP8nzY6epVykq7PmPJDyF08iTjs4fqfPMNAIgrnTljkqN6IoeDucycGWB7\nzRpkAX8cvRwO+FWWLOQCGjVK6/vvxzvwhx8A1Jo1g3cWLw5v37IlsBKmc+YkXb+rVgFqeKsE9M8/\nrBl/89IIxcTgFRIayv7vzeuoWzfPlWNcqW9fgG1f1KoVe7TQfyBGKlFqJ+F0dz93XhkpySEQExOj\np02bliRMJpDrAw0rCfQaf3NG+DrPX2+NYJ7jq8/JSSTqbzhISkGIYCSB9dVmaoIJd5L3hZ3udUFZ\nB5M32wL8v7u/oj5xApfEhx82oSQ//ogAJRtt585c8tNPxl1dPmLB+OwzlMb4eASVBx5gs2/fHiVs\n61YTanLsGAJn9+4I0bVrGyvXjBm0K2DITz+Ze4nbtChyUs6uWTNCBCQx1tKlCE/16xtAQKxh9pKm\noiA4HAgYOXKQy6JoUQTZ0aMRkl580czFsWPm+u7dERIdDgCcvn1N6c+xY43FSaqVSN6GBx4AmBgx\ngjaaNk0aCiGfokURJBs2RFmWuGnX80JCAIhee435vu8+vCmaNAHoqFABoa1rVwRD1xKrWjPG5cvp\nT/r0XLt0Kevi55+x5ixYgPJepYoz2GIHhTp2pI2aNVGg3IXMPPQQuTVatACAkVK18nulSgBIEhIU\nG8szjooCXDh8mGfaokXStsXdNzoaUKNRIwMyffstYFimTJwr+Sv++MNcP2CAaeODDwyA1a4dz2z0\naNZ6dDRtSY6UjBlNBZyDB017oljGxLDGxAJXogR9K1cOwTk8HOU1Vy6Ea0nS+emnrMP4eEANe/4Y\nWWNvvqlvglXDh7NOBHTUGkUtJIR5S0zk2YWEMI7az1raKl7cNColKoJA9zpv9pcvHz/O+gikFOSg\nQUmt/57I4QCYzJwZhcVuiV65kudst5ofOcJ627nTv/ZfecUkZhb67beklmxXunKFdeYuTMOVBMho\n3Ji1vnYtfdy1y78+/v678QT0RJ995jynnTrBV4Qsi72gZElnhV7OffvtpG1OnIjnjCjRuXIZcDpX\nLvcATPHiziVQhRITAYt//tm5VLWdYmLgjQcPwsdOnWLPsVfVElqzhr3FlebNMzl4tAZw6NzZ+Zwp\nU9wn/+zQwXnOXOnSJfbecuXYY48do5++ytm6kpSSFrb0+OO8Q82awRO95cTwRDdusF7z5nXOo3Lt\nGvvUN9/4bmPBAni+p6S1dpLwx8yZ2b999Vmqpck+4otiYxnLsmWez9m3j/fIvp7/AzFSkVIz3MPb\nPVOanDOY7aV2WEkwc0v48tbQ2v+cGN7OCRScCEYi0WBcY+9XcpOAemrvVpVQvRO9L+x0rwvKOli8\n+cQJbT300E2poGOOr7XDgcJevToKtdYIIJJQat06Tm/Z0jQjQkXZsgiMJ06wSUp2cXulEcmLIaEm\nK1bgvfD22yj9zZqhzC5dyjmSCFGs2pUq8b1ZMwCQSZP4PmYMvx84QG6BPHkQrJo1Y1NfuZJxtWuH\ntfz6dYS9nDlxpW3fnvtevIi1TCmt06QBjPj6ayxrefNi5XE4uNY194MoCmPHIqRUrozr9f79CDjr\n1wOK2K955BHmV+JT338fnVGqgEjFkPXr6cPOnYQ/LF3K+B591Lm9BQtQSCwLZTlPHpPvYe1anqvQ\n0aN4URQsiDfD4MEImi+8gGAXGorAO22acTu1LBRjEaqOHwc86tOHa90BL3nyYBlcuxZPmf37WSPj\nxnHv7t0574knWAfjxzPu1q0BPuxtFSvG7z//DLAgYU5t2hgLqsPB/ezXTZ0KwBQXBwhVtiwA05NP\n0s6BA+bcb78FGJgxwwApRYqYZLKvvw5os2ePScrYuTNeM/HxrC27J4dUPLA/eynjaE9yO24c46hU\niTG++ipghGTJf/ZZ+mxZ/C+WtNOnTbtz51ItRhLx9unDOYcOmXNEeRg0yJRVbNQIy23p0niAfPHi\n0psXWI8+Gpi27YXudd7sL19+/fWkFSl8keQcWr7c/2uuXOE5h4TglSVVeYoXh/dqzZotU4Y15y9d\nvsya/O67pMclp4CncI+ePXm//aG4OOcEyfYkk/7QnDnMmSeR5PRpeK0ADqdPJwUApApKxYrOiuqO\nHQALruEQkndHPKM6dwYcTUwkp4Q7y37jxry37mjMGLymnnjCcyLJqlXZm0qX5lxP5Wx79XK2wAst\nWGAs+ImJ8CTX6iB9+wIu22nHDvZTTyFRe/Y457WIi2OtyX4dCB054szTt21LWT6Kv/9mnTZunLT/\nAwc6yzi+6P/+D2DPG+3cyR759NPGi9QbSejWzJn+90Nr9q/Mmc2e7UpNm5ok6kL/gRi3gG6XV0aw\n8nKkpL3kgCDJy3fhXwnVlHhIBJITw59zfI3Pn5CTQNpzbSaQs+MAACAASURBVDcYlUgCTQLqrb3U\nrv5xp3pf2OleF5R1sHizlB9RSh/PVlr3eM3SS5ZgdXr2WRTlXbuwdl+/jlAq5R+FRUh8/8qVuApL\ntnFxO5VcDErh3bFvnwk1ad4cZevDD1G4BeAICcFCUqcOyqa400rYSLt2tDF+vGlbrIpSZOXRR1Ew\n33jDWOBfeQXFeORIhHmpUKI1iq+9AkvbtiYL+44dzIH088UXDbiiFELcyJEof9u2meOVKyP4lStH\nf1wTVIaEOLuH79qFMhkVhTVPPE2GDzdl9P78EytZoUJY6CpX1jeV9HTpEFzi4wlxyZTJeKdcuWLA\npBEjUCTatEFB8OT1ERLCvDVtiiDerx/3VQrFIDISgb9ePcCH9euZ63Xr8PRITMTrpHNnzitbFk8G\nKVtbrJjJNXLhAkp+SAiAkl1YX70aAb5DB30TXCpUCO+BZ5/FU6JoUZ73unXMaWQkYM+CBVzz2GO0\n3aMHz/WNN4irzpnTAHSnTpmxi5DncACEKQXoNmAAa0fCoxo3ZkwJCSguHTuatfj996a9zZs5Zndw\nkLF36sTnxAnW1Z49zNf8+aac8Suv8DxLleIaqVoh1kN7stEnn2Tely/Hu8OynN/DdOkY67lzWDL/\n/hswsE0bFI65c7WOyuTQV3LZSs34G/fgg+5m3qyUyqqU2qiU2qeU+k0p9Zqbc3zOwdmzJhdDoLR5\nM3zK1SvAF/31F0pq1qwo9osXoyBZFgpbnTr+VxkRmj/fgIB2siwqRkRGurdkHzpkcv34Q+vXJ31n\nAqGOHQFmPeVrKFnSvJ9a0/eGDZ3PcTjYO2rVcvYyefpp93knTp9m/Fu2AE7UqwfIHRXlvg+9ejmX\nbbXTuXPwhccfd59gUmv4VYYM8MmoKM/ro2hR+JIrLVwIn9OavVz4jJ2efx7PRiHJReWppO38+Ukr\njLz+OnMRyFq7fp09yw5IR0X5753gjtatg5+++27SdbF/P/0OxLPj4kUTSulK586xB2bKRHiTtxwg\ndhKPyUDfS60xDLhWm9EaYCoqKqnXyH8gxi2i2+GVEey8HClJABkoCBJIvgt/q5qkNC9GsHJiBJIP\nw58wGfFi8Ef5TykIEawwEk8eEalRQvVO976w090sKPv7STFvPnNGWw8/fFMyGFB0pf7yS5SexYuN\ntb1ZMyzEcXGm+mK3bjQhpULDw02z9lCBjz9GiJXvopjOnq1vKslz5iCkFCqEgDRmDBv+Z5+h8LVs\niZJ45YpJKCrLe/RofVOpHTLE2VJTsCDWessCkKhfH0FeXLgbNkRpsyyEcHupyYIFjbVs9WoTSvHM\nM/Th3Xdx0Zax/vILgoYrCFCpEv1av96UnytUCGvc8eOAAm3bAl40boxw8c47CPl79qCILlliEqYq\nZXJifPcdrsFhYQidWqNEjxpF/9Olo/2XXuL7I4+Y+evXD0Djk08AqsaO5VlI7pEhQ3hWO3bghTJ7\ntvFOcf2ULk1/Zs7EZTohAYBg2DCzJq5dQ/geMcKAXPKZPJkxbtrEetqzB++B0FCEsAMHcNWVMe7d\ni+Lw7LN4RixbBiDjWkq2bl1z/02buO+oUabSTK1azl4eZ88mtfQtXGiq7pQrx7Nq3hyPnK++Yj3U\nrQuYFB+Ptbd4ce4jCemkLUmkN2+eOSZARXQ0bXzzDX1auBDLbYUKAC3ffcf6z56d66QSwfTpeCOd\nPcszkHZff53fHQ6UFrl3q1b8/uCDgIwJCayt7t1xvc+enTVRvTpCfueMi242atndb1JAdzNvVkpF\nKqWK//v/Y0qpg0qpAi7n+JyDgQMNKJkc6tDB8OBAads21u0zz/Bo33gDq21y0p5YFmvFkwfHxo3w\ntJEjkypizz3nWfm107p1vK8ffmjWd7NmgSmYsbG8B/bSo3YaOtTZM+TGDXilVOESSkhAkW/c2AA3\n06cnBTyEVq3infrzT/aQjRsBct2RVHzyRJLPyV2IiNbwXpkfT5b7U6cAOtx5LyxebMJq6tZ134Zr\nyMvcuQBArs82Pp4wxty5nUN5Fi9mzwyEjaxebfJz2WWIHj3gZ4GS5OaIinKfYNay4I0ffBB42xs2\nkLdDcpskJPBcw8OZD0+eEe7ozBkTTpgcklBFV9CvXj33Y/sPxLjFdCu9MoJ9r1sdWpKauSOSkxcj\nJsZ3GVZ/2gjWmPxtK9B23VEwQz5upUfE3eB9Yae7WVD295Ni3mzzd3cUK6EffcTSCxZgWfv2W5TC\n/fuNu/xrr+FpkCEDlttLl4wSv3EjTYqnhFIomBL6oZQJtTh50hwTd+YBAxAMLQu3/QULTOLODBmw\nar36KkJU9uyc988/+ibgcPo07rTSbu/eJmfFiBGM5epVjvfsiZJXtSrn/PQTwI1SZqwtWwIISCiH\nUiiXX37J702acP2rr2Kd09q5CsYrrxgQJDaWe0ZFMa78+Y01y151RSkqTDzwABa8woVRUF1BAxFA\n582jv5LPwl4CVykSn3XujKKwa5dxl86SxcSjHz7MWKOiEPATEvAIkCoIv/7Kcw8LA8SYNw9A47nn\nmMOMGVFQxo3DnTZfvqThLQ8/TL6LrFmZ55o18TZxHVf58igaWbJwjevvgwezLq9fZyzDh7NGZs82\nlrToaMYt15QtizdCQgJCfrZsgETXr3OdgHLyyZEDZcleiaV2bUClc+fwUpg6lXWbNSvAmHjkSEWC\n48fNta+9ZsqnKoXLckwMAFOxYqydrFkJIVq7lvtPmkS7iYkAJ1FRJqmbvF/yPSHBtP3yy/RRgArJ\nZL9wIeO0LNZC8eI8z3LlAHROnzZeAZkz887nyMG7N3SwQx99tJC5ydChKeM5+t7izUqp5Uqp6i7H\n9LRp8Al3dOkS4NWRI8mdQZShqKikoRz+ksMBeCyP1VfVE2904ADj8VT94fhx3sP69Z0TZq5bx17j\nrZrFsmXwOAkh6dXL9DljRrzV/A0nOHCAde8un8b337Pv2OmLL+ifq9VcSoC3asU8XrlCXzyN/5VX\nAD6LFydEz1OIwqpVAKueaMsWxj1oEGDn2rUAqV9+yTx98YWZG0+W+zlzPCdVXbKE344e5Xm6Wuol\njFAU8StX4NWuYREnTwK+1qvnrLT/8Qfz7y7vhzs6epR9Ik8e9pscOZzfmatXATdEhvCHLlwAoClf\n3rMXlK9Spr6oVy88FzdtYj+rWjV5QETbtt7zjPhD69YxbyKif/89e6Ddk+jUKUCd/0CM20C30isj\n2PcKVmiJP9VHbkfuCG/5LAAxfJdh9eZlEcwxJQcUSk4YSbBCPm6VR4TcR/7e6d4XdrqXBGVPnxTx\n5vPntSVlNpTSu4Ys0eXLo+wsWkQcft++CGqjRqF058plkrk5HAiloaEIBJblnOBSdJ0TJ8yxF15A\n0Pvf/7QT8CGZ7k+dQmnOnh2hZcgQFLCaNRHgMmdGCOzTh/tJUkwBBOwJP0WBmzOHTfzkSZPIsE8f\nvCH+/tu46Jcpg3VdLChnz5q2KlUyWdcvXEBAa9kSACAkhHHv2GHCbBYuRLk+fBhgIX9+3LjPnwf0\nkORpi4yRWyuFgBYTw9jsFUukCsfkyQhFloXwLm7h/foBJuXPb9pq1w5w5/HHEdrGjEHhiYsjdGTx\nYkCIkBDAgCtXaPfKFdNGkSLcY/Bg59COd94xwtXKlfRxxAgj9B09qm8CAkrR5/ffd85Cf+ECyv+5\ncwjk5cvT/7lzTTuxsc7WRfk88gjPq08fEzLTqBHK+MqVCGmnTzMHSrGesmWjjz/9xLheecXc5+ef\nndvX2uSPeOgh5i80lHCZvXu535o1ACa2nLg3lYfPPjPfRbGREqaSf+L557HGh4YiaObLx/e2bQlV\nSp+eubHn6RBQrEoVvm/ebMA3pUw8/eXL5tiZM4yzQAGT1yVzZoTsfv2Yly+/xKrZsydeO1Om4EFV\npw7XvlVo/s0Grccfd9ZEk0H3Cm9WSuVUSv2llHrM5bhu0IB36/XXk1rO337bAJ8poYUL4WPeqhr4\nInsS3NGjPSfj9EWDB7OmPFFcnLHMS14Zh4N33lNyx3nzAHPtiUYlKeijj+JJUqUKYKC/YM68efB5\n11CLxETeRXvlD8uC97uWQ9UaBb9SJTwnLIt9yVMZzthYeE54OB5Q/fu7P2//fvom7W/fDqDZti3X\n24HdatXYF2vXZq9s0MC5THbXru4TgLZp41xC1k7LluFRMmCA8eSyk4S0CA0YkNQTYutWgI0RI5yB\nlNhYACF7uVZPdP06SnVICH/fey8pgCEkcoE/nh07d+Jd07On56olUspU8hUlh+yGiUWLfJecdUff\nfss8BkO8btfO5DarUYP1bFnco0ULnimJ2j3z5dvObFPyuZNBDKG72SvDWTlcpadNm+a3Quxv9ZFA\nQA9/wk985c/w5dngCzTwxzOC0JfW+oEHVnnNmeFPiIg/bbnrWyAVTIIV8nGrPCLcAS6pnSw0mHSv\nCMrePinizfYMg0WK6L69HbpCBRRfhwMB7aOPsJxImdJNmxD0Dh9GKStTBivJ2rUIHuKerBQbpNYI\nDD16oJTbK2hs2MDvcXEIaHPn8r1vX5TOokVNZvqPPuI+y5fz9+efURRz5kSwi4nh3GLFOL5smQlZ\nCAtD8dQaRT59eiyY772HkNCxI5aXyEgUPMnob1dM69en/b/+Yn769OG8tm0R5CSkIzLSKPcS5nLf\nfUa5/PprQIE//jDCg1JYR6Tkqh28aNYM61pEBICPZTmX03z4YYS7fv2wLloW/QoLMwn1zpzBwvbq\nq6Y0rP2TLRtzGhZmQBj75/77GVehQgAN9vCIr74CLDh+HGWiShWT5LNOHe4fH895L73EeKtXx/26\nd29nAdiycN12BTN69DBeB0uX0pdu3XAxHjGCkJK0aZ37LGvLslinOXLgAfPyy/ShRg3Oa9QI4frY\nMeY1QwZTulRrnnvz5sz/2rWMvUABQD37efYcKEoBSOzdCzhUty79OHiQ+c+aFdBi0SKUkEmT8Ig4\nfZr3p2lTxhgRYZQNyWMi68gObMyfT/uSy0XKOsrrXbUqluo5c3in5VwpU7lhA/fauhVr8nvvse5u\n3OD92LFD61PHE/WhNPnMTd1lBQyA7gXe/G8oyQ6lVEM3v2mtUSLtoUsrVsCrIiK8l6L0lyyLNZnc\nx3HiBIri7t3m0ebN6z6/gy+KjeUdkio7nkhyJIjX0ocfuq+2Mm0a6094t51mz8ZLrXJllPL581Fk\n27cHfPZFnTvDf12VyxdfTOqRsnOn56SV0dG8s337ModZs3r2Ctmzx8yx/R6Wxb6yejUgplJmX3vq\nKeMVt2MH76RSvKOe6Ikn4EcDBvBsW7c2oWeWxTx5CkdZsQJ+mimT+/X5ww94NGoNnwkNNd4MlgVQ\nHRHhfv20b+89J4nQmjXsRw0b8v68/z7z4Q6QEXrtNfYXbzRjBuvOU+JUoS5dAICSQwK+2PeCQEq8\nCsXHIxP56qu/dPEiz33ECJ7tBx8gX+XPz/wKJv0fiHGbyZOnhCivwfTM8Hav5LQlgEDatPV95qOw\nUyAeBMkBPXyDCO7zZ/gLUnhSiP29Pk2axTpPnsYevT0CKRnrra1A+uatH8EAHVLbI8Ib4CLr/k4H\nMLS+NwRlX59k8+bLl7Goyk67YIEuXhyFdc4cU0e+ZUuUzUKFUDzfeguhaN06k3hSEsN17Ijy9thj\neFpcv44CnTEjiq3WCGJyy9y5sQAPGYKyaFkorRIKsGMHm2/69MR/v/ACeSeeeIL2wsMBDCQWefhw\nFGcRkuyAybVrRgBUimsLF0Zx++UXvn//PV4g5cub837+GYHCHvowcSLt796NQDBxIn8/+wyh7vx5\nxi4VLSQ52sWLCLndujF3vXphRRswgN/teUOaNcMD4fx5BDqJG9+8WTsJSI88guDdrx+CyZIlCJpP\nPYX1ZfFiwmGqVcMjI3t2QAS5ft06AKqDB/FmKVAAIKJ0aeY1f368TtatQwjfsgUgyd6Hxx9H2ahX\nDyujHH/lFYTpRYuYozfeQFlxB5IUK8Z96tQBNHAtv/rVV8ZCfPYs7RQqZNySExOTelN062YsuDNn\nGpf06GjAgXz5nM8fN45zFy4E2Dl+nGdSpAiJa3PlYj0vXcpzfOQRwBPxtLCXT/3qK47FxzM2UdiK\nFMFzJEcOUxHh9GnAhQkTsDLXqkU4kVJYLmV80vY77xjPHKWMgiJlgnPn5v29cIH28+cHdEtI4Lct\nWwCPpk7FevvBBzyfp55C0WjVivYdDgTcRo1of/+A2TdvamXMGHhWSRvd7bxZKXW/UmqtUqqHh9/1\nsGHDbn7Wrdvk5J2jVNAKvdxM7pocUKRzZ5MHYtcu2hk9GiCjfn0DiPlLkrvAV7LO337j/evSBR4n\niWWFJkyAB3hKYOlwAKB/+CHvTocOgAw9e8LLp0zxnggxNpb38uOPnY/Pm+c+t0W7dp4rqZw/z3s9\nYgR98hbaMGqUeUfbtWNvSJeO/aBGDQBb4Z2ePGKU4jx3FBcHDxbPnEuX8PqJiIBnileiJyBh5Up9\nE/h0R/PmwZ+1hneMHs3/V68SSli8uPvKKTNnsrdcueK+Xa0Bcho3Zm6Ef06cyH7vqxTv1avw5y+/\nTPpbbCx8rWBBwys90Y8/8iwCdTSzLAwnTzxhynQfPAhInZwwrXHj2AeS48Hhid5+2/Cexo0xGGzc\nuMmJT/0HYtwh5C7fRDAqi/h7r+SGlkybNk2nSbM4IEAktcJKUpp4058QDl/hJikBOYI9VulTcnJZ\nBAt0CGYuDW/3uJvyXniju11Q9ueTbN5sNxfkz6/PnEzUSiHgJCSYOMqQEBTLNm2wIIaH402QKROe\nAU8+ieAwbRpKZZ06bL5Sg75/f5Oo7MwZc0vLMmValUqaT0MU++nTESoiIxH6+/dHYa9fH/CjQQOs\ncnv2IICLQjl5smn7//6PfjZtao6NHo2gd+wYCvjMmUYA7teP8YkwGhODu67dsmJZCJ2RkQguBw4A\nPIwaBVhRsSKWvjNnEMo+/xzAQgTYrVsRCAsXRljdv994sRQtyn3j4hDQ+/bFA0ZCCOSzZQtK9mef\n4W3QrZtz8jP5RESQdM+etG/2bOZFa4TOxo0ZxxdfMDax/sXHI0iGhyNYi8tu3rzGa6JOHQCERYsQ\n9G3VerVSACKvvsqcz5pFn99/n98k3KN0aTwvVq3CY2LaNOckq/IpWRIr2SefmFCMoUOZq+7dAY7s\nOS6yZyfc4sMPaTcsDGFTa8ZpD+eZONGEl4wZg5ITHY3wu3Ej7vKlSyMUx8SwXuTauXNZM+PGGRBO\nKsIISHbyJO7mPXuidHXpAkj48ccoa6Gh/I2LA7CTtkUpsOdm+fNPZ2BD4s4FJBIrc79+BhRauBAw\nrEYN/r7wAs8ta1bWYLNmrNGQEFMa+do11vivv2qtExL0hRDbAnOtsxgA3e28WSk1Wyk13svvWjNl\neuNG3p0sWUxVH6Xw+mnTxv/8AN7ogw/gOYFUMJD8EPacBfPnwwdOnuR9DQ2Fz7rmRvBGTZr4lzYl\nOppzpbxl//6s2bfeAuDwVJpVSBTOEyfgQ507M34BokuVAgj3RAcPMn57CdHz5wHNXQGEkyeNB6I7\nOnUKnlismHMyYaFjxwA5JLxOKfjr1q1JEz0q5T0vhlKew3b++IPn50pXrwIMyb1btIAXff45YLyA\nTl99xe8LF7pvf8QIntO6dew1N27Ai4oWZS27A69kb3bnUaM1bbz9NnxnxAgTMjd+vH8AhtDmzbxj\n9vk8fBhgpUUL7wCK1ryrJUo4V1Hxh/bvB6woVAg5IirKeCP99BN98rcCj9bIMK7lfZNLCQkYNqpV\n4xko5f3d/A/EcKFgez8Eem+7B0Zq5stISW4L13aSA4ikRliJr3ARd/11l3jTUwUTfz09kgtyyPX+\nhJv4k9siubkskps7I1j3D6T9O63qSEr5x90uKPvzSRZv3rtXW2LqVUrrWbNulqAUi78oTOnTAwBc\nu4YFuFEjFMmxY7HIFy+OB0N4ON8jIlDSBg5E4Q0JQQiJi8PSrpSpkmBPfhgW5pywTYTIsmX1TYXQ\nshBqevfG8nX+PFasc+dwcZ0+HSG2d2/TTvfuptSfHJO42suXaadUKQSNdu0QbAsUwMXfslD27Up5\nvXoI3kuX6puAw6lTCCuZM2MNLVSIORCF4rvvzPUdOyJQnjrFXP34I3MZFoYya3fRbdsWC2WlSgiM\nvXqh+PzyC30VK9iffyIESv6K3r1N9Yt587BCZc/OGNu0YUyLFnF+//7cb9Ag2hFvC+nvtm2Uw92z\nh3bCw1H206RBMIuP5345cpgcJEeP4gq9di3XZMyIgjV5snH1btLEhEoIOBUSgmIvyss332Bdu3SJ\n+Xz8cZTyCRMAYPLmNf2Uz+XLKGf/+x8AUYsWrLcWLYxXglKEJ50+zbN++23OVQolZNs2nn3nzgA0\nkyax7i2L+zZpYp6t3bNo+XKOuZZotSwAkAYNsEBnz86YsmUD3JEyxBMm8KwdDj5SJlgpFCO754iA\nSWLdf/ZZQI1du5jvwoVxORdPqFWrTELDHDlYF1FR9K12bRSq6GjuId404rL+7rvG+uqY8enNTlj3\n35/smIi7mTcrpcorpRxKqd1KqV1KqV+UUrVdztHt2vFulSwJ3vP77yhVEREoF+fOwZdy5AAcmzMn\n+fkoEhNpw1PlDXf0/POAda7UuzdAV0ICClXLlqxZ4cG+6Ngxxn3woO9zLYv1Jev61VfhS/bcOd6o\nTRv2qpgY9opu3UxI3cyZAIvdu3u2rC9YAG+1OxWVLeu+JOzbb7sPexH6+2+erVJmz1uyBB6SMSPg\n644dKOrekjXKXHj73VN1k9WreXbuyF5eec4ceP7zz8Mr0qZ19n7zFJLTti18u0ABQP4vv2RP+Phj\n92tDeMrs2e7bW7sWPt6gwf+zd97hVRRfH99XUJFOOqEFSOhg6ITeEQEhCCjSQQEB6QoiCkgXEOlN\npCiWn1hAEUQRFVSkCNKL0qsm1PRy5/3j42F2b25NQeDxPM8+yd7dnZ2dcuac75xijXcxaxa832yd\n4wmZg2xL3ebO9WzczpmDBYqn1g9i+ePnx5p48yZz3X5ORUa6dv+xp44dAQ4zQpcvAwYWLoyr4vvv\nMx5nzWJNdkb/gRgmcqSk/lugxp2Kl5EZYEl6AZGscCvxJN1qeoGKjMbEEHDAWTwKb91N3MW2SE8m\nkvTEznBURlalT7W37LgbrC8c1Sm99biXBWVPj3SBGCazAlvOnEolJ99W4sQMNThYCzTHjwNiBAYi\nPHXowEJftSoCTZEiKHBdu2IR0KABOxGvvaYXzOefp6zwcJ6Ni9PxGWbMYNEVN45HH0UIlYCgbdpQ\nxq5dgBYBAfwv1g1TpyK4xcQgMJQvr4EHicvx8sucFynC//HxOlVlpUoorgkJ1H34cNwQatdGoJad\n9VmzuKdiRd02N/8JwtmoEcJy4cLcZ7MBXhAsSx9xcVxr2xbloG5dFFfzDt/Qofr+oCAU1StXEOrW\nrOGeTZus5XbuzLead2JLlEBpVop37t6NMmqv+BsGQmzBgrSP/bXQUOphb2HRtSuC308/YYng7w84\nILv8QgkJjI8GDazPT53Kt330EQLxmjW0uWFoUOGTT3Q5338PiNWrl/ZPv3bNanUjGQx69UIZi4yk\nb65fB/SaM8eaOUUC7CUk0A/BwfThM8+giLRoAZjg44OQLfeNGEF5YrlgnitKIbT7+gJoPfccY1Pi\nvpQuDej11Ve0a/bs7PRKJpJ58yjjxg1d7rRpzM0uXfSYTUriKFKE/nvxRZ5r0wbFLigIZUwy8axc\nicIwdSqgSJEiKJo//YQCk5Rk9dsXRenWLfr2yBGlVFKSSn3YFICkdWvP+Y6J7nfebBiGeuuttLvI\n06fr+C5CKSmM/2bN4G1jxri3QnBEsuPtSdrRHTsANR1ZWCQn43I2cqT+betWxm+TJoCa7mjmTHiy\npwrh1q16SHnjZiMWEsePM8dr1CA+grw3OhpgNCgIKzBH9enfH8VRrr3+OnPGnuLiAJy+/955fY4f\n198REACvWL3a2s4//8wa54zsgXxH14sWdXzNVYpWcVd0BHQlJ1vrLm5F9tl16tWDvzRtCjBbpIhO\ndW5PNhvt2rdv2mtnzgAGlyihNzWEZs4EWErPHIiJATAyDPi4p8FeL1zw3CUrNRVLwKAgNiWuXOFb\nu3d3HGfl0CH4pyfed19/zRrnjeWGkMgczzzDZsezz6bNwnP6NPPFWZyO/0AMEzlS6LPKpcMTchbD\nIjOtMjITLElv3AVPrTgyyx0jvUBFRtxFPLHiyEx3k/RaU6Q3Bauj78xscMFcdmhopMqe/UvLnPg3\nrC9c1Sk9oM39Liir9PDm1FSLNro2T081c6a6vQumFOaYIsyIEimmqGXKoLh/9RXKWP36CDNiQfDX\nXyiJYhJ54gS7vGXLokB9+imLrdlcXhZaSWkZEcGOhgRrFDeIkSOVRfHs2BHAwdcXobxGDRTOJ59E\nQPL3R0EwZz756y+rMj1zJgKc7LI3aMDiHxiIS0OnTpj2SqYI825W69Y8K4BCgQIoKa+/juJfurTe\n1S5WjPJ790aoNQwAmXHjcKF5802EILO5cc2alJ+cjIIzYgSCkNm31TAAVfLlo7xKlQBIzECIOe1p\nRIQ1/eiJEwA64lpRqBB1jIykbZs0oUwRBuPj9e7/228jMFerhuWFfUrUvn1pu7AwhlxgoBUAkiMy\nkrZs2hQgS8AlORo1QqlYtQqQolcv7vn2W+3bvnChDq766adYg/j40OeDBvFeicvy99/W8j/4gO+/\nepXxPX06u5S+vow1sd4QpS46Wj87ciQCobm8rVspr1Urrj/+OP0nATT79NH+9T178szcuZwfPYoA\n2qsXoJKAFqJ4iAWQYfBdSjFOq1VDIXj3XQASCR4aGEjfFSjAPBowAGCmYEGAIim3cWPifiilx6dh\naFBTxtzLLyv14cMmE5FcudLluH2/82ZnfLlaNcat5RIw9AAAIABJREFUMzp6FCW8QAF4mATz9ZTG\njHGdIUQpymvYEMs1ZxQVhTL1/vv6t+RkQEA/P82LnFFSEnNOska5I3Ng0eBg72ISTJumge5r12jj\nYcOs7bZzJ6B7/foa2BWKjwdcl6wZu3cz5x3Rhx/icuAo9eb589ZMRVu3Oi4jORl+bXbvM5M87wws\nMQwszRzRkCHOd/1lbZFgxPYUE6MtJ48cYe0LCqLPBVCRtaNYMcaQs29QCp5WubJ2D1GKcqZMgbdO\nmGC9phRWOSVLOk9V64qioqwufs7iqTiiTp3g+e7ol19w+4yIsLqBzZ7NOuQspXL37qz1rig+HrlB\n4oF4SrGxzOXwcJ5/8820LkpmqlbNsaWRUq758r/OVDNyZMQSQ5SuO5EC1dt62QMN6Y1nYV9+ZoAl\n6XEt8caKwxN3DE/ucQc2VKjQV2XP/oWqUKFvmudduYu4cgXxBlzJ6Pelx5oio7Erssq1w2wJZW7D\n7Nk//qet/13rC/P3Zkad7ndBWaWHN588eXuVtxn/p3asv3x70e/cGQFu8WLOJZd9fLwWDA4fRjiM\niEAReuwxBLo+fbC82L6dAIGTJrFT/+OPKG5z5rCTl5qKEGPevU5OZvE3DJ4VNw65fuGCFTyIj2fh\nzpWLRXvgQHaSx48n3oHsNvfqhRJWsaL2czUDNIahd5FGj+Y8d27AnKtXUQgiIhCsnnqK+8aO5T7J\nimFv2eDri9WJKNvh4dRz2zZr6lI5cudm933gQJ3qsGdPrDnq1eO7R44EoBk3DgVC3ApGj7ZuhF+9\nilVDeLj1HStWsEsbG4tVQPnygE5lyiDQnzjBt1SoQD2V0jExbDaU/OBgwJ2oKMqTrCI2G4rXlCkI\n5vbf16IFyrvsRCYnA5T8/jsKWr169Nfq1Tqq/7VrKN/vv68tQwYOZDyWLZsWLPHx0QrL7t2My/nz\neWb4cO1OVLQorjKVKqGM//mnLiMiAiDs5EmeX7+e6+3aWYOVxsSg+Mu5WF7IuChQgPG+fDmCuPjc\nDxpEu3fujHJYsqQGTqQspawpgnfs4Dc5N1snPfAA71m8mDFepIiOvr9rl3YReesthGsJTJiYyLeK\nf7RYzGzdylySPhCg78svUbqrVlX/rENKnfjxgrKZOyAdW6b3O292xJdPngRYdZa9wkw3bwLMlSvH\nsXChZ6kW4+OZT66CS27cyNx3V499+xgn9krvlSsAnQULMm+dgSzbt8M33O1AiyvMsmXaDc7H5584\nLB5QQgLzadMmzq9eRXl+8UVr3VJSaEd/f0AYc3ueOMHvu3czzwIDHce/sNng1wL4KQVQOmQIc3/k\nSJ2a28/PeZ3btHEO8Mi0cha7QNZOR0BK69Y65o+ZzPGonPXH229rMEho717KLFoUniplvPii6/Gz\nYwftaQ4M+/XXjl1HhKZPhwd5C2AcPMh6ZWZJjz+uQV535In1w6VLuC4FBzPmzRaP334L2OMqe8rJ\nk/SbKyuj11/XQZQ9oRMnAG18femjTZs8i4kzbZpza53/QAw7MselcGelcCddTRwDDV/+s/ubuTvd\nGbHKyGrXEnP5rlKpOnMXsf9O+7oBYvRR2bLNUhUq9Elzzdk3uXMF8SQWh7u0qp7c401bOvsub2NX\nZJX1haN62YNkd8r6wjzXXX1vRut0vwvKKj282RQcIrZxK6WUDhg5dap1F1x2FSQGqKT7+vZbdXs3\nJjqanRsfH/6fOhVl199fZzDZtImo7R9+iHAdHIyfcM2aKEtKqdvWIGJKLzvO/fqxSBcsqCygg3lH\n2s8PwSI6mrJ//JHd+3XrEAQl88mRI1p5++477TMr5ZQvj7KvFAJdyZIIpBUroogvX64FSMlAIs8W\nLozPeEICYMVjjyFIzZvHLrdSOnuE7GgfO4bQcesWwEeRIrSZUgiolSqxc2gYpD7t1g1T5GLFsJCR\nnbMffqD9qlZF+JasIH/9hQVJUpJ212nXTgvvpUppa5fISNp01SoUX6nnvHm4QLz/Pjs45rYaPJg2\nKlSIflq/nvqFhvLOjRsR/PLnZ4wtXsxuZ506ejjabLRt3brU5913KffZZ7menAwg5ueHBYjNBiCy\nc6c1JkbZsgBlly6hfISF8W5zZhzzd4k57Y4dtOELLzB2unalbf38dFDAzZv1c/LtR49SngRT/OUX\nvrtMGeZLyZII+kuXAszJLrYZvBMLpE8+4fyhhxCG33qLMS/Ko2QskEChRYowb555BiBj61batVUr\n+rBIEcoUF5GuXWnfAgUYtxcu6NS+hkGb2mzcI2mOzUpPxYr4vJvBFtWsmf7hzTc9ZD6a7nfe7Igv\nv/GGY9N6V2Sz0b9PPkn/vfACY88Vbd0KP3KkrKamAmqZ3bRc0QcfoOBFRaW9tmMHPKFOHWtwTDP1\n7s18dkULFjD2RAETKzJfX8+DLK5bBw+QeR0VxXe+/HJakOXKFYDiwoVZ0+T6Rx9hzXT9Otfnz3f8\nLgkoevIkoEWBAsxRcxyPBQv4BllP7GnOHM3j7EmmlZlPmkmyXwhfM1OZMo7fOW2a3fy1I5sNPuUs\nte7PP+vnnWVGEYqKQo4QMOXMGcZviRJkP3FEkhHH0Tc5otRUAFYJri2xSAyD9T86mt/dGfC6s35I\nTMSyxddXx14x08mTOsi5OxowAPDMEf35J+9wF8Q0JYU2fOwx1qiXXnIMCLmiEyeosyMQ7D8Qww25\nslL4N1xNzMpwaGj3NJlBMgqsOPteb03jrYr0l2rp0qVuLTI8zVjiSewJT6w6HAEdrgCA9F6T9zmL\nh+FpfT0Zb964kWRW7IrMTp/qql5mkPFOkX3bZ2Ug0ftdUFbp4c2ypWoYKnXFqn/aCQVSKatpfMGC\nKIL2ApWkdxQla8AAAi4qBTgREYFCVbkyyvU332Ce+/vvOk+7jw/C0EsvsQMSFESZv/6KQJUzpxa4\n/vhD12ndOq7XqKF/E7Pbbt0QmKOjUd5//hmQ4sIFhBQBLGSHxmazWi0IaCPZV44dQ1AvWRJwISCA\nOkuQQ3Ncim7dEAouXUIYfPZZBCRJafn99zy/ejVH6dIIRD/8gHDXsyfKyXffITybzZJLltSAR8uW\nWhDasUPfYxgoFMuW8d0S+LFKFUxdg4MRJN95h++vVcv6bPXqgC5duqAoma+1acN77Z8xDNxN3nuP\nuqemYkHSvz//nzoFkDFtmgahzEdAAP0eHAwQYr72f/+Hee/77zPOduwA1HniCdr44EFt5dC/v65L\n/vz8nTZNu4H06UN7VKmiy8+dmzgdNhvgQKFC+C6PHcvYrFSJskSoPHpUPztnDr+lpjIv5s6l7/38\nAOqCgri/fn1ce+rU0Yk81q3T5fTtq4Vk+U3M6GfO1G4Ba9YAcEg8mQ4dsDry9UUZDQzEQio4mFgu\n48ezW1y3Lv0dG8tcNAy+TykEfXmnBGCUbEEdOqQFOYRPGMY/kfeXLdM/1KrlDQf6p6z7mzc74svV\nqzs34/aEzp5lTgQEgCGtW+dYEVGKMT9wYNrf33sP8NgbF5WRI3WgT3tKTWUoBAQAxNqDHX//zTVn\nIIfEIjDH2UhKYvx27oyCOWiQdmtyRjYbrmuS/lreXbGic4uGbduwPmvWTM+BAQPgkx995DjLiFK0\ngwz9AQMcK96SzttZOtODBx1nEVGKoMnIQ44zagQEABL8/LP195QUQGl7l4bUVL2+OnOT+fVX6uNs\nJ9/sgufnR587+i7zGpWYqDPcjB/v3NJhyhTkD08AjJs3AdbDwuDnixbBr8qVgw9KsGul4JsVKzqP\n/6AU1o3t2zu+tnEj9Xr8ccdBamNiWCdkPXBHFy+ytthbmthsvMNRkF2hqCj2n0JC4CMrV6YvbobQ\no48ie9jTfyCGh3Q3uZrYWztkRVrW9LiGOH7+S5UjRxuXgTbNz3gSvNMdYJCRuBjurDQycs3ZN2VF\nrA93biSZYT2RUReUrKpXZpErF5nM+l57ut8FZeUtbzahAQnGQ0pdu3bbOkD8NbdtY6dZKWuQv6ef\nRtBZv57zFSu458IF7W+fkoKy9cADCBVdu7JA16+PIl28ODtrAwYAXjz+ODvH8+YhJD/yCMLfxo28\no2NH3nH2LO9YuZKdJnMKTdmV/OILwICYGECCxx9H6Vuxgh3QggVR4EJCEAxjYhBeDIO69OiBQPvB\nB4AdEhC0Tx8Ue39/Fv1q1aifmFpv24aSKNYsfn74+tpsWDU0aIBA7O9vVWBCQ/U3GAbf5+OD4tm6\ntfWaKMATJ3L9hx8Q2IsU0Rvia9ZwvWtXhJy8ea1lCBjSuTNAw/ffs0tZpgzWBCVLYjUgvs99+yIQ\nSmYTMdVWCuFRgmMOGYLQHxJCTA7z+woXBlAYOBBFX3Ynn3mGvy1a8C3nz7Nbd+oU9TGX8cQTjKUc\nOazxQgxDx5Ewu4vs3q3Uxx/Tt+bYH4aBYG3OvFKsGN++YwegQYUK7MKeOWON2bJiBYqDOcPNmDGM\n92PHdOrFrl0RqocP5/nERMApAf1EUTNnNClVCqG/Xj3ORfGMieGdhw6xc1akCILn+vXUddAggLNJ\nk5g/5ctjjhwZiSLRvj19Ki4ip07pdwpQInEu+vQBWDTHirlwgXIE3FEKYM4wcBtKvvS3som2ZRhe\nu5Tc77zZni+fOuW5K4k7SkiAj9asyRieNi2tmXp0NDzPrOgmJsKDXQWmdETJyfBnc6BPe4qOZuyK\ni5MZXHn7berqSEF2Fovg/HkU708+gQdERLhXcg8dgv+aM2tcuQL/mDDB8TNJSfBDX1/Wh6tX4W8T\nJ8LP7BXFgwd1KmzDsIIm9iRZshxZH9hsfJ8jl5WHHwaQDA52bBnh5we/+MguDeqZM/S5PZnBdmfx\nUnr2hL85otRU/XxKCoBp+fKsi/Ygy+TJgLYSM6t1a+dpaZWCB5UuDb9xRSdPwld9fFhvtm1j7S9f\nnrV70CDWfPMYE2DLGThw/Dj9bs+6TpwAuA8NTRt01Fx2x460mzeA4KhRaa2xPvsMKyJHQN3OnXxf\nvnzE1ZAMYBmliRN1DDQz/QdieEF3o6uJuU6ZnZY1va4h5ueXLl2axlrEFXkbO8KR1YYnVh3u4mI4\nc0dxFxPD0TV33+Quraqn1hXeuJFk1Hoioy4ojsr7t9OleuoyItezol73u6CsvOXNU6felkZ+8cf5\n9bXX+EnMdgcNQhlSCvRfhJcZMxCA5VwWXMl8oBTm8XK9WjUEwB9+QLmsWxewQECPy5cRIE6dQtmd\nPZtnxOdYlEalWGzF+sBsKdKlCybTV6+ibEkgNTFdbdQIxbJKFYTPIkVwhTl1CoXQMKiXmNO3aaPL\nVkpnh3j4YSwC9u/nPWfOUJb4NEdHW4GH1FQE/7AwyixcGNDj+HGEvJIl9b05c1JviXD+7rsoO7Vr\n026HDmmzasNAIC9WjLgM0gcNGqC4K2VNt/rAA/o9RYogND//PO4byckASE88wXM//oiJaqFC9EWX\nLigjSmGZEhKCMCUuO6dPM06KFdOB8i5e5F3ZstFmkmlDzKxHjNAZNK5f53k/P4Sz48d1StWEBMZH\n27bspP32G/1+6BDKthmYaNcOAOfGDcCrgAANQF2/joIi9yYk0DfFimHJ06wZ7VioEAJpixb8Jjt3\n27bpZyXriVmBefxxAIEZMwCx1qxhHMTGIgCLpYeYcj/4IErAiRPabatyZco1gyuS5njKFPrBZmPO\nzJ/P+7dt4++RI4yVmzdx52nShPPff0e5qFCB8sRFRNzAxIz98mX9zvr1Gc9yLq4IQ4eyi6qUdvky\njH+CIDZvrn/w0qXkfufN9nx5xgz89jObdu1Ckcqfn7/iAqUU/Vm+vOYTc+cCmKWHHAX6dET79sFT\nq1TRAEpqKrxA+InQhg3wQmc7yhJr4Nw55kLBgs6DZQoNGZI2+4ukUp482flz588TkygkBGDC3x9Q\nXUCE5GQdkFJiBbnD7yTmTtGijq0BunQBOLanhx8GCKhTx7H7gY8P69rMmdbfJcaQPbVrB/948EEd\nUNhM0dEoyc7Sqk6ezHds3Kh/i40F4BYLS3m/YQA4FS8O4OqKJk7keWfZdGw2ALfISNp95EhtGbd2\nLWvH0qW8p0gRx/EmxE3DHkix2eD15ja8dQtg39cXnu0q3fGUKawh9oFJ3VF0tA54rhRgddGi1nEd\nH88GSPXqzkHKjNLhw6x79sDifyBGBuhudjXJzLSsGQFHvLXo8NStxJ3VhifXvbWc8CQmhqNrrkAK\nec5dLA1X1hXeWkR443Li6NnMTp96N1hf3EmXEVd0vwvKylveLDblhqFWNn1X2Wx653v7dhSsoCBt\nOtm1K9dkB+78ec7Ll0eglHSYMs3eeEMLdmIy2bQp1hmtWlH+0KEImrK7vGQJyuObb2Kh8d13KP+1\nayPEXrqEACaK8Lx5lD97tg4uZxgELlTKGqciOBjBVAJaPvccCnxgIMq8gChKWa3jixZF2RblUywh\nhg0DUHn0Ua7FxCDgmXf8IyIQoiWDR7ZsvLdSJdr2ySfV7d3vw4cRxPbs0Up7hQrstpQrhxKslC7b\nMBCuR48GAJg2DSVd4nwYBm4SAwbodKuSyvbGDfp1yhQ8ivz8dIDMd9+lXV9/PW0aVElVOmqUFRSR\n/pDUqps3a0sVpVCcNmzQY0iOfv0YJ5MnoxwPGmS9HhDAzuWRIwiRq1dT/uuvowgsWQKwcfw4Qlju\n3ChmefIAIHTpQn+sXQuIUb06O8Tt2mnLoFdewe3oscfYFYuNBfiRwKTt2iE0Nm+u44CI5dHUqVhP\nBAcD6pQqBYhTqxbflCcPY/CHH7hH3HrWrtXf6OsLQDd/Pu9Qirqa+/Cbb+gzPz++tXlzxkO5cuzc\n5czJe556irKSkui7bNm0u5M5cKkIq5LyN08eFF+xEhFhPDKSc0kx+csvvFMpdsWzZaN+AQFKxc5J\nv0vJ/c6b7flyjRrMkayiv/+GHxQtSle8+y7zp1UrlMWbN+F7zjJTeEJifWafttGebDYAPZkjly6h\n6Pr762wWMTEABu7aZNIklPmkJO3mN3Om893vq1cZm/Z1vHiRuerM2kDom2904GTDgGeI9UXTptaY\nBebg085cFlq04Loji4133tEBo82UIwd8rFs3rAntKX9+rEbsY1MsXQqQZaZz51g/S5fmWLQobXmz\nZvE+R/TLL9S/UiXH11etYkyI26lhYNXpztVhwgRkD3McEaGEBNbP8HDqvGCBtvhISmI9KlYMAO/0\nafrbVSrV6dPhn+Yx8+GH2tVExmuhQvS3O6uQL79kbHsav8OeJk7EGlEp1lVp+1OnOPf3Z9ysX+/c\nXSwzqFy5tC5J/4EYmUB3o6tJZtYho+CItxYdd8qtxNu4GOmJieEOpMiMb/DGIsIblxN3z2YUbLib\nrC/upMuIK7rfBWXlDW8+ceK2lJGU7WE1f8oNtX8/woCfH0Le1q1aaDKnvBMrjblzdVaKAwf09c6d\nrTvJIlCIAFSyJArZlSs60OK776IshoQAoHTujODSqBEBNPPkQSAdMUKbPX7+OeX5+WmBRFwYcudG\n+Zd7DAOl0mZDMC1SBEU4KIjzWrVQIuPiAEPkmfbtUQjMyrzNhlJeoAA77BL0rWBBlD7JoDF4MMqC\nOf5DzpzU/8cfAS2KF6ceUn/JBGMYuCgkJNDO4oM+ZYq+3qkT5+PHo4j366evyfHggwh+Tz3FvV99\nRR/PnInwNX58WneVp58G+HjlFUAL+zJHjqRuzz+vf8ubl+9u104L6oaB0rRmDTt+LVrQ3qaMvsow\nAAtGjFDq1Vdpi6lTqbf5ntBQngsJSetiIu4N168zXtq3BwR67z3qY763f38dDLRGDSyPjh6lXteu\nAUiJYnPlClYh5u9OTmYu+PszbnfvxvS3Vy/abPlyxuO0afwtUkTvWA4ahHAvFjZSruz+SVYRMREO\nCdEpcv39UZ7GjeNdY8dyrFlj3enevx/FLjZWxx8wDMaaUtr6YsIE5pfZkkQAlkaNdBA+s7XFiRPU\nvWhR5vtvv6Hg+fgAHL06IMrqUnLmjGe8SN3/vNnMl0+dYmxkhiuJO0pJIVZGs2aMi27dNI8W3p0R\n+uADxqmjQJ/2dPMmYLCvLyD14MHMB6XgD6LIuaLUVHiKgGqnTwMsdujgPFvLokVYFtkDHefPw1dm\nzXL9zoQEbX0ga4tYX5jJbBUo9bOnzz+HV/r7p22zM2cYF/a74TlyMNeHDdOpvc2UNy+ge2Sk9fdR\nowB9zDR+PGtBnjy0idktUCneHRbmGAS4elUD3Y5iQgj99JNuB3M2Emc0fjw81B7AuHQJfhcYCOjw\n1VfWtrl4EUuTxx6jLRMT4enOUsoKJSXBV9es4fz6dUCI7dvhaXXqwE/F2s4VHT1KX7oCTdzRrVt8\n44cfMjdWrsRi08eHTR5XbZ2Z9OqraS19/gMxMok8dTXJjJSontYnM60yMgMcyYi7Q0bdSrwJAOrs\nufTExPAUhHBWpjuLCW8zkXh7v9Qjs8GGf8v64m5wGXFF97ugrLzhzSZt+OfAturzz1Fan38eQcVm\nQ+GbOpX/zUq8mOfXqaP9e3/7jWvvvMMuU4EC+n7pYgnOKaaTo0bxPqVQ8CpUQIFSSsdkKF4chal4\ncYS3AgUw1/3lF71rLGaqktXBMBAEzOCBWDHcusXvgYEorKdOIcQ2aMBOdZUqCMl+fsR5WL2a58aM\noZxcuRBuzO8qWhQFffduAI02bQAOfvpJWaxbSpbUOyk//0wdli/Hv/ett/h2s8Jts/HN/v7s3Neo\ngSuKYdAvDRpwz/XrKKWyA3b8OG07fDgC2/79fEfbttbyDQO3iU8+QYC22WjTK1cQFmfPpszly7Ee\nmTuXMRIUpFM2fvUVCpLNhsD6wQfaIsd8PP88/STvqVWLMrZv5/mQEATxpCSdUnXvXtowLIzdqb/+\n4h2bNun4DXJ0704bRUUBwtStq5VycWuR4513dIaW4sW1Mr9pEzuVRYrgX26zWUElyb6jFMK1WBP5\n+gIwiAvTjh38LwK/xLUwp9StVs3qniLAxfz5Ok1uu3aMu4IFaZtixQAjfHzoi+bNeX9YGLto4sER\nGUnfKaUz4ISFcX76tH5nixbMXzmX9LCLFul0ymZ3nbZt+U0Ap2vXmA89e2IN5OurVExdk0uJO+3Q\nRPc7bzbz5RkznGeiyEr68UerC+DSpZ6lYHRHL76I65KnoMyRI8x5AXvnzYPHXb7s2fPR0fALcZmL\nj8eiqEwZDdaZSTI7STYtM509i8uau2CMCQk6MLArF5xXX0275pgpORkeXqeO4xgEYWFprWNy5IAH\nd+iAy5p8t1Du3FiliNWb0JNPwo/N7y5UCN712GN8t72CvHkzbWUP0Nhsev0Qd1FHZOZxoaGuXXaU\noi7lyln7fs8e+Hn+/ADz5iCvQmLZNmGCNYuNZB5zR7/+yjoWHU0/tG3LuwIDmReeWDxcv86YWLbM\n/b3uyGyBWL48dbAPyJrV9PvvaQPP/gdiZBE5VvozNyVq+urw71lleONa4um9nrqVeBsXw1l8C2e/\nC+Bgb9ngDqRwljLVUzcSbzOReBuEMzPBBjOAkNkZTTx9/93gMuKK7ndBWXnDm01pOEYWfE8dOIAA\n9c477IokJyNY/vknQlORIoAQuXOjiJ47hzKVmIgQIaCFCBR163Levr0V0JDAWFFRPC/muOLZ8t13\nXMuTR8coWLMGAW7MGITVEycQQPr21RkazAqhBAA1K2wzZ1JXMY9/6imEBAnmNX8+u9azZ6N0du/O\n7+fO6SCIxYrhEmFO31a+vPZfnTAB14wdO2iv1FSU7SpV2PWrXh2TX0kHW7kyJqwBASiCEhehbFkE\n0tmzdaYNPz+lFi5E2HrjDYQss2IeEYGSEhtLe4jv7/HjfHu1ajoVnxwvvEAfR0RQdlQU961di+VH\nRITeSevbV/uwb9+OMvTcczpN5J9/sqNWsiTKxKhRvGPtWr6tQAHiRCxZoi1hUlIAE6Kj8a0PDtZ1\nCw1l589mo59eeAEB/Kuv+C0yknLl/oYNGS958qCc586NhcehQygM/fppa6KHH6aeK1YA8AQEUJ6Y\n8ZqtjipUQNBfuJDzQoUA0BITEfZXrWK8rVxpDSZ78aI1Y86VK7gMybkofBIQNWdO+io+nnb47Tfa\nc8wYBPN58xhf1aoxhsSv3WZjzsqYVgolIDhYu4SYrT4kfaxhaIVv9Gh1G1ix2QCL8uVjLO3YwVzL\nmRPla/NmFIDSpXVsjtWrGStTpyo1Pzx9LiX3O2828+UaNXTq5KyihAT6bs4crC5KlKBPzZlwK1aE\n58+apcG59FBKCuU6SxfpiGw2a1rs7t29e+euXfBEsxIuVlCOwIrvv4e/xsamvXb6NKCIsxSqV68C\nGD/5JPzE3995QMVz5/Q3PfKI43SXEyawnvn5pQVdnn8+Lfb3yCOsi1Wr6mxPZhLeERho/T08nHYS\n+vxz5umAAViKPfRQ2jgPkZGOXUzmzOH+/PlpD0cUG6u//fJleGDJko7b1WbDCq58ee5NTmatqFeP\ntWHaNMdj0mZjPQsMtFqRfPopfeisbo5o0CC9wfDAA1gGefp8aip8WTZh0kt791rXMVkLatbUln17\n97rOqJJZZLOx7prj6PwHYmQxmZXYrEiJ6m0dstIqw9NdfU9dSzy9112QTldxLCpU6KuyZ/9CVajQ\n123si/TGynAFbqQ3Y4k3biHeupy4qkd6FX1HdbhT7hp3m8uIK7rfBWXlKW8+duz2iml7+GHl//AN\n9dNPCLqffcYOs+zsxMWhvHfvzi7QQw8hcLz5po47IUqU7CyZU6AqxW6XnDdvzo78K6+g1CnFOwwD\nZd9mw/w+d26UpoQELApeegkF7NdfWWiXLNEK96FDKKI+PpTzxhuUO24criHHjlF3qcNLL/Ge1FTA\nFh8flL4ff0TYLVSIv2Fh3NekCc/JrpLExjAMbWWyahXtdOkSpr8jRgC+FC2qA5WZml0ZBor+zz+j\n9EZGYolRqhRAz8mT+r5y5WjT7dsR8OLiAE4xJ0V/AAAgAElEQVTkevbsCIsBAQi8Zot+w6Cdv/0W\nACYoCBAof37qmpTE+xxZabRtq1TjxpbQKapaNQAOs8uIHP36ITTbbFhZNGnCd9ts7PI4eke2bChX\nhQsD3thfz5ULQVOsNczXEhJQ6Fu2pM/mzGF37KOPdMYTOSSY4aZNCMBvv017izuQ3HfrlsXTSo0b\npwO9NmuGcBkQwPjfsweFZvx4bZrftav2TU9I0DE0DINxvGED/3/6KfdIPUuUABi6dImyn3wSpePx\nx4lIL3Ohe3fGbL58CN4nTljN2IVat2a8zp9vbVfxJR88WGdoWL5cX5fd46ZNmVsXL/KNdesyjsqV\n433FitGnYnbt68v4Di8SpVIf8N6l5H7nzcKXT5+mrTJTKbHZ4Bfvv8/Yq1kTRSg8nDn5zjsoywIw\nt20LsGWz0XddujCeevQA+PAmu4JQdDRjWEz0PSWJFfTQQ8QG8CYw4uLFgIzmHes9e+ATI0aktQzp\n2NF5VpKTJxnT9sFGT59mzA8dqnfnRWF2BvwIUP7II8x/e6Dg/Hn47/jxadO2rl2b1tLjkUcA0n18\nUGjFqkooRw7mtRmUsNlYQ81K+WOPsU6VLs06X7iwtRyJl2Evqu3aBQ8oXhww1RHFxVEvw7Cm6jx5\nkveIC6rUbexYDRDPmEHb164N73Y2N27cgC9Wq2aNRfLnn66BJWe0apVmUxKM2lMaOxbAxV2qX0eU\nkMA8kYDlsqHRowdA8M2btOHs2awnZcsyn6tXB8BatgyQOz3vdkejRxPMVOg/EOMOkL0y7iwlala6\nmrgCHtILpHhjWWFPVuX4S7V06VKnz2XEJcMdwFGhQh+VLdssVaFCH7cuIN7+7gqoyMg3efK8lJHe\nIJzptdzwpg5Z5a5xt7uMuKL7XVBWnvJmky1+bIt2KiiIhWv0aBSoF15AYZkxQ+8atWiBUlSsGEXU\nrIlCePWq3uH/+Wedxsww8NVVCqHE1xf/0VWrdEDIyEgEQbGikNgBr7/OuaTMbNAAJapjR3YxX3mF\ne8uXR/AqWpQdaz8/6vXVVzoIoriumHfXW7VCeJo4kfOICIJ3xcYCBqxfjwDRty9gSfXqCBk//qgB\nF8MAIClbFtBEYhbIbsbMmfy2fz91HDJEP2cYxFew2fj+OnXYLd2+HeE4JQXBUe6VTCV16mARMGSI\njhlRubI1ZdyPP1pdf/Lk4ffDh6nPtm0yF9Rt4KFyZQRl+zSv06djNbFrF+3StSuC4qZNCPX2gMMj\nj9BW5lgZLVsifBcrhqXAhAn8Xr06QvYzz+i0uEqhYE2ZgnuNry9jbv9++nvpUvpKyv7rL54NCKA/\ny5ShXVNTUWzq1LG2w8KFKElLl/Ktf/8NGGRur3LlaKcFC/TvHTviOnH6NGPqq6+of9u22g0qKEj3\nZ8GC9OXmzVYAQSmd4UcAuylTUGQCAgDXKldmZzIwEMAjOJjnWrSg3omJOn2vYWilcdEizi9doq8l\nuGxkJICcgE4S6+Knn3Tq5K+/1uWFhDDGly7lu1NTUY6mT6f/mzRBkXnxRebhk0/iy92nD2P+f/9T\n6qc83ruU3O+8WfjyzJkavE0vXb/OvJw0CbDK359x0r49/fTDD85N0WNjdXwhM/31F88WL84YTI85\n+++/exboU8hmg1//738o6ZGRACHr13sGpNhsxPjo1s16f1QU471BA6ubggBIznC1P/4AJJZsQHv3\n6uxM9jR0KJmcHNVz82bawccHIMmR20hkJOtbaKjVoiA6mv4xK6iPPEJf5MoFH/Lzs2ZAEfCiWDFt\nOXflCu8XOnlSZ8Hw8wPUts9c8tpr7P6b6fp1+qR7d3iZI4AhPh6w2zBQwu3p0CH4mWRneuUV6tyx\nI2BOly4Ata7owAEA/v79raBQQgIWKq5S29rTuXMAOsKiatb0DrhbuxaZQ4LSekpnziCnBAYCEq9Z\nAzAeGcl3/PCD84Cpt26xdr/1FuO9XDkNkomcsnu36wwqntCuXXrzRinXfPlfZ6oZOe4mEMNMZqXJ\nXpG/E64mjoCHjGRS8caywnE9vlQ5crRR2bJ97NIiw13GEnM9zECKq2fdgQ+OYmK4stzwJh6Gu4wl\nztxM5Lo7N5KMuIFkxHIjs+rgLdmDLnezy4grut8FZeUpb65U6fYKfujV91WdOggqv/2GwDV9OgKQ\n7LDu3g0gsX49wcAkMF1SEkJP3bos6jabNVaEpOvctAlBQUhM6Lt1Q4iR+2XhFF/puDiUqP/7P87L\nlEGYkrSrixbxKVOnUpYE6jxzRqejVApTW3nHBx8Azsh57dpaMBs6VD/Tpg3t4OfH7mSuXAhrL77I\nc7LbLr6szZpxvmcP5wEBCBZ9+7K71bIlv2/ZgqAaHs7uZ2ioVrx79gSQ2LBBB7/s0YNnxfS6ZEkA\nj969afvjx+mbFSsQJIsXZ/e9WDGERkkjW7IkoM3MmZbuV4aBRYjs0C9aRBtMmsQYGDUKQKhfP0CA\nc+e4XqgQgFR4OACYpDLdvh1By1z+2LFa4Js3T7v73LgBSOHnR5nTplF/2Y09epRx06QJfRodzXd9\n+imCcFgYQnvTpuz0CSBUtSrf3a0bgNCoUYyhxo1R9mbNYpzXrq3f9c03ur6yG3vjBgJnWBj12rGD\nNqhVi7E5eLDVBUZ288Q9wzCYMxLAVrwkfX05Nmzg+mOPARTOnMl4adqUsfz008yPK1e0C09SEgqo\nZE6R2BVmU+7AQO2bLwHnFizQ12/dYrwVLgzwdvAg7ZovH4rfuHEognnzojyVKAHYkz+/3pX9+ms9\ndqdO5bxGDebm1NC39cs8dCm533mz8GUBfz2llBTAgSVLmPPlysGL6tal7T/+WGd+8oQ++0xbSDmi\n1FQAwyeeYP4PGuQ4JoEz+ugjgDBPUkAKyGeOy/H111gKtGzpWUDD2FhARHsLipQUlPLCha1BF197\nTc8ZR3T8uI47JLGIHJEEkbRPa6oU3xMayrxu1ox5ax/HYvNmYjJJhiGz1UjVqjrulFLswsfEADru\n26fd14SyZ4cv1KunXRt/+gmgVejllwkMunIlzy9fbnXhSUoCfDVbJNhs8KVnn4UHSnpZ+3aQwNCP\nP+48xoq4/whb+L//Y11wl/lDKZR9Pz/WG3saOBDwzhMQIiHBGjS6Tx/GyaOPOu9ne9q/n7qYXS5c\nUWoqfd22LfNpyBDWtVu3sATs3FnLH2ae7AnFxNDPc+ciJ1SoALBRpQqunosXAw55A2zYbKwF+/dz\n/h+I8S/Sv+Vq4hxISX+8jPSUc/PmTbV06dI03+3sXncZS1y5ezh61l28CvtYGs4sN5RyHCvDFRji\nLGOJOzcTT91I0uMGkhHLDU/KySoAwdwmAIFfWt55t7mMuKL7XVBWnvDmI0duSxK2HDnUqvk3Vfny\nCF02G1YK/fqx4/3UUwh9S5Yg+LzzDorh9OkoW7t3ozANGIBAfesWymOFCii5/frxyt699Yas5I6X\nc3Pcipo1dZo6AQnMAETTpghNW7aw0Navj5D9xx8693uePNQjIADh++xZ7pUyjhyh3KAgzgsWRDja\nto3/o6IQKPPlQ7iZMgXBul49lNjAQNpGAj8K4BISgpBoTiHq64ugdvAg10UIO3NGW6sIeBMVxTun\nTuUdvXuzQ5OUZE3xt3Ytu4sFCqC8XLqkr0nAytGjdVrNJ57Q1318KDckhDIDAqhT7do64Nvbb2sl\n58IFXIakraSMsWM16JE/P3X/9FPK27NHp8GNjcWtpHNnvk0CrYoC1qMHgq8EzJMjLAzA4amndKBZ\nuWZO/bdoEWW+8orWla9e1ffOmaOBsE6dKG/PHu2Pbhjs2F6+zPvMAUnfeot++fprxs/KlSg106Yx\n7mT8mlOlDhiAsiBuTQIYKAVAJgHx6tVjbtSqxZgtXBjlpGBB7m/bFhDN15ffJO1kw4ZaeTGnS504\nUSteAv4phdWLzCMzuCgpkocNo8+vX0cx7tyZ+stcatECK4uGDQF56tenPwcOpF9KlEDB6duXOePn\nB8C5Z3OUSja8cym533mzYRjqzBn3riQXLwI0jBpFu+fOzfzo0QMAbc+ejLmi9Ojh3CXAns6cYa4H\nBdH3H3zgmQn7Sy8xn9wF+qxf3+pmIJSYCNDs62sFWJ3RsWOMPXP8B6EvvmDezpun4+sULmwFCexp\n2DA9dF0FPpV0nvZpKZWCP7RvD7j/5pvUQawClaLckiWJr9O4MSCj0EsvMS+FBMRo0wY+u2gR67DQ\nAw+gjD/zjA5EvXo181kp2jMwEOW5WzeU27Fjre/4+OO0lhkLFwJST50KIGNPSUnadaZwYdfxJMwg\na9eu7lOuSr0HDUI2+f33tNc/+ggedO2a+7I2bmRdadhQp1QX4GPzZt7hbl6Jy9R777l/37VrWPCU\nKsWmwZIl2rLp+nXWmt690wYQHTmS9Sy9FBvLeJw/n7W7UiXWz/BwQJuFC7GmdOW2NXw4cl9MjGu+\nfDcw1eWGYVwxDGO/6bcChmFsNgzjmGEYXxuGkc/Js+lv5TtI/7arSWbFy0hvOd64pGQkHakrqwtH\ngT8dgQneuo04i4eRnnp6et383vRaX2TEauJOWV+YAT5zm2TP/vE/Fi53r8uIK7oXBOWM8GXlCW8W\nXw3DUKp9+9tZN2ThLFsWc+Inn9SB0Bo3RlkbNw7hp0oVlJqaNVF6w8IQIF96CcEpMJDdrvHjtSvJ\nmTPsCIiy9ddfvE/iEdy8iYJkVghPn9b++tmysfgrhfD7T/VVSgqK1NixmGNGRCA0dujADnbp0gRB\nLFyYMhITATZ8fNgt3LFDBx4VC4GdOzmvWhVBXGJclCuHIO/vTxniU9uxIwKOOXbE5MnUNzaWHbFx\n4zBP7tIFU1q5r0wZTEzFOkQixtesSayKmzf1vRJpftgwLAk++IDdcrn+228Ie/7+CKziumEYKAuJ\niSjBpUtjZVCwoE6buX69Fazw9eU+f3/9m3mn3+wm8dprKAsLFyLUDxtG31y6xC5ar15pyyleHGF8\n/XoEeQkEKu4iU6fy7FtvMTbNz5YrhyL9v//hHyz99/PPKN5m656AAMbhuXMIjqNH04aHDwNqmBX7\nlBQNmvn6IrhfuoTw178/4zEiQvt+SzYPcwyNp5/G511SDNerh8B+4QL1vHKFXbJ582jfzZu1mfgT\nT/B7XJwVUJEYL1u2IBSnpFjTGDZtSt9L4FDJUnL4MJYiqalYcuTMiUDr58c4+eUX+tFmow6rVmGJ\nMWUKCtPy5fRj9+4AZPPnM36joujPVq0A+sQKqW9fXdf9Bb1zKbkXeHNGDsMw1KxZKC5CcXH0y8yZ\n8JAiRXS62gkTtLteZlFyMuPa7IrgCSUlMddEARwzxhqTwJ5SUgBphw93fs8PP6DEuwI6LlxA4S1c\nmHgfrnbbP/7YeZyKP/5gnHbpgmL2/vvwakcZKLZtY36YM0W56oP161kn7dOlRkcD3M6dy3o5dy6K\npFl5fOMNQKV9++BTooxv3oxFmVDOnAA5gwczlY4fZ15rk3/+N6dUfe011i2lUPYbNeKe4GD4VZcu\nVmuOxo1pF6G9e2mHX37hr701TnIyY7ZMGb7TlTuIOUbWpEnwfln/ndHZs6yBbds6BimOH/fMIuLk\nScoIDWUM16sH/7UHp5o3dx7YVSm+15PgtXv3Io/kzw+otH17WlenqlUBZxwBZHv2IAOkJy6NM4qL\nQ85ZsAD+Ex7OOlCpEmvz/Pn0swBLP/+M1Q8p253z5buBqdY1DCPcTliebhjGS//8P8owjGlOns28\nFr5D5I2rSWZaaTiLl+GtVUZ6y/HUJcWdW4nZRSU0tLtXVhH273QEFnjjNuLKosJVXVyBD+lxI3EV\n8FPuz6jVhDNAIbOtL5y5jDgCAO8V0MKe7gVBOSN8WXnCmytU0BLFhx/eVuR+/52F84EHOAIC2IW9\nfBkhJS4OwGHUKATZJUvYSZZF9+BBhIoPPkBA7NOHezZuRPFTCmXSMLTSI2lZGzbk3BygcOhQ6462\nmExL/Awx6T9zhvuioliku3ZFUNu6lcV67FgElBEjEJqVQoCQ3Wjzzn1QEPXu1IlzMa1t0ABBtF07\nBLJChRCw/f0RNkVp7N2b5/LkIQ5BSgrPBAVh3RAcjIIogRlbtgRIMac9vHyZtgwORpCT4HwbN/Kb\nuKvUro0y37s3CufixdSlVCmEfj8/HQchPBzleN8+fj940Bo4VHb8a9bUvxkGu3bnzgF+SIrVuDie\nN8emGD2aPjVnoZGjXTveffgwANdbbyEwPfYYwv/ixQi0QUEIpDYbwnRAAIJ4YiJ9HhjIeKlZE+V/\nyhTMmMWtQo6nntK7foGBgB3PPkvdnnqKsb1kCe+ZP9/6rOz2zZpF+0o62TVrUDC3bGGMvvyyfmb3\nbtpdXJ4ks49SOiZHy5Z8x4ABAH2zZqGQrF4NIFejBsLuzp28JzFRx9aQsa6UdTczNJSdvsBAnY3B\nnA5WjB8qVqT9TpxgnJUujeBauzbjs2hRTIdLl2Zs5c+PghoWBvCVNy/WHOPHA+gIL5g/X4NFoaG8\n69tvdZrH6BneuZTcC7w5I4dhGMowUGwGDECRyZmT9ho4kLY+fjxzlRd7kgwXGaHDhxm7Pj7Mvw0b\nHIMB7gJ9NmumY0+4o+3b4WH16zvekRcaNsy5S0NsLPysYkXauU4d4n6YScAEyRzTsaMewvZpT800\ncqTj9/bogeVWRASAYKdO2jpRKXh//vy01XPPadAnNhYLHLFAyZWL/2fPZu0SC8CjR/lflvz583X5\nZpCiUSOAjCNHtNunZLNSit8DArTbwc2bzP/33+d9kiJaSKw+GjaE37my7JFAxoahXQrHjGENdObm\n8M038N3p0x3Ph/h4xoMr0CE2lvXD15e14upV6turl+PxsXcvvPTGDcfljRjBmHUEuiUkYJ1Ruzb9\nMmmS43TBly4hfklgcUdks8GLd+xw/m2ZQfHxrDeLFrE+SlysihWt4P5dDWIoGGsxO2H5qGEYgf/8\nH2QYxlEnz2V+q95BcuVqIibymR0/49+2yvDUysCVWwmxJiIdxthwZHXhbVwMT91GXJXrKN6FO/Ah\nvW4krlxBMsNqwlH8jKxw33DlMpKVQUIzkzwBHu8VQTm9fFm5483ff397dbI98ohSt27dXqxsNkyZ\n5bx+fa3oPfMMjzdqhCDQubN2HRg1iqNBA4SZ/v0R3B5/nF2qXr0Qvo4eRaCoWZPd85QUBGrD0P6o\nU6ZwvmUL50eP6vqULm2NtSA7bqIYyv+lSrGrVKcOApikO/34Y+p08SIK7aVL7PCI9cTWrVhOSEpT\nw0BhTUjg/4cf5pl338XKo00b4g7UrMmu4oED3FeqFEKw2f+3VCkEysREzFibNwcQmj1bBwI1DOqr\nFMJsu3bsLE6erAUec8DMUaN0vILt2ylbrnXvjqDeuzfC1/ffA4DkzIk+WbOm1TLi4kW+vXJlvkkU\n9pYtAUq2baNdFixAKQkKQrB95x12uZQC2LBPFZc7N4Lf8uXURzKiHD+OoPrcc9b7n3+evpw4UVtm\nyCHZPOLieGfTpgjbKSnsHMl9otC3bIl1S8GCWIlcuqRuWx3JUakSyv2HH6rb4NPUqbRlRATf++OP\nuJOUKMF3i2KxZo0uR8azBIp95hnON28GOHviCSyb/vwT5W/1asZAcjLlhoZqn34J4KkUQIS8Y/hw\n5o+cy87v228zHpWyura0bs24mTgRq52bN+n/114DIKxVi3qPGAHQ16QJ47ZbN+bxpk3UvXFj5rxY\nEDRqhLtDcjK7dfK+lBRrWmYVFaVS/s/kUuLI5t5E9wpvTu8hIIYcL7zgceKWTKPBgxkPmUExMYy9\nqlXhU1Onpg10KPEDfvvN+vuOHSjT3mRXSElB4fL3h086so5ISoLvizWCPdlsWIv5+2MZFxiod/mP\nH4dXmNOzSowC6TNHri/y3tq1rQGWlcJsX2LpFCwI8B0WZgV2unQBBL98WafEVop5tmED/wuI8fnn\nWD8pBa9dsIB2eeABflu/Xmc7qVkTvn3kCN+ZmMi8lnkcFKQ3BoYM0RkpbDbW9+eeA7Dy87PGN0lN\nBZxp0oR1plMnxwp5aiptLG136ZL1WmQksoH5WUlJXrAggJsz6tfP+XsldW+xYtxz9ixrhtTXEeAm\n1L27Y1eO996DT9tb+Zw5o+NBNW2q+aIjOncOOWDCBPdA5fjxzNU7RTYb42T6dGv6+HsVxLhqd/2q\nk+dcNoq9QpFV8ScyQs5cTTJqMeHJO/8NqwxPXUvS647hyDrCVVwMe8DCG7cRR+W6ss7IqBuJvZWC\nJyBCRqwmXMXPyCxAwRuXkbuRzPV31fdmulcE5fTyZeWON5vzPf5jHmEYevdm+3Z9WSLM16uHm4dS\nLOQ5cqC8DBzI4hcSwk5U5coo/KLEVK6MybuPD4JEo0YIKHnzooDNnk05efMiZJgBi5QUyi5RgvPU\nVJRJud6kCQKy2URfKRQzw+C3bt14rnVrgJg33kB5Gz4coe36dXbA/fzYFbLZqIfZmqBsWa1Mi6/x\n888juFesyG5PzpwI1FWrovQNG8Z9Y8fqcsQNZsYMnrtxAyHr0CHdDpJd47XX9HMDBxLX4emnrXE9\npIs//BCh/dgx/e2GwS7Lrl0IqtevW10P8ucnPkJSEv3i64tCUr++7tOaNQEZ4uN5v/m9Dz3EeEhM\npE3Dw2njwED695dfsFSx2Wgfe2sHw0Cwb9gQYdgcQ8QwCJw6ZgxKXrdu1mvVq6PArFoFOBIejiDZ\npg0ggZg+79yJtUP//igQfn4Abkpp6x/D4Jm4OOoaGUldGjWiLdet0zEerl2jDwyDa3PnWkGg116j\n7Fu3AG4KFeLbUlIYY+++CzjRrRtKRJcuKHFKASSYASwJ4JmYSCA9eUezZljPiNtR69bcLwE4b90C\nrCpalPPSpdl9PXaMcZCSwlgVUO+33/iGL79EuO7eHbDpiy+0b3xkJABLjhwI6UqhSEpgxG+/1fUT\nFwUBMZVSKrW0yefIVTRJde/w5vQehmGo8HDm/Jw5jFmJuzN8OH3tLvZDRshmY2x4GjTQG9q5E4U0\nXz4U4B9/1IraRx/Bu8yKcOvW1hgQ3lBUFGMsMBCwz14pPX8eJfjbb52X8csvGpwYMoRnQkLSWmbI\n+8w8aNAgx+DL2bPUyRxrw2bDgu+rr5hfL7+sreEkNtO2bcw/m415I6DwpEl6LcmVCxBy/37WJKVY\nj9q3h49nz85ve/eyvijFOy5dogwBKNq1A0CJiwOUT02FR/v4wOeUgh9VqMDvLVtqK0OluP/ZZ9mw\nWLIEQMaR5cLVqzqled68joN3xsTAv2fM0M+0bg0YdP582vuF1qxx/t4jR+CT5ctrECQ+Ht4rwLIr\nEjdT8/t376YtJdBlaipgr32gTlf055/wdPlWd2Tm2VlF168jB/Tty/wsXBgr1P/9D7Bm5kxZm53z\n5X+dqSrlkbAc7eQ5p43jbPf4TqQ6TS+ZFUN3lg6ZAchk1ju8tcrwxLXElVuJq2vexMVwpHR64zbi\nCNhw9X5nbiKegBOOxrMrECE9gIejPs2KuBf3ssuIK9DC02Cp94qgnF6+rNzwZnOExC0RY27vJovb\nxNKlnLdrx/n58yj1CQks3iLIBQQgdPz6K4JbwYIoR2Zz8qAgyqtdG6WzShV2NFq00Knuhg1D6E1N\nRYmWgFtK6XgTkvLtxg39/gkTUBTlPDFRm9VK/ZOTUdSCgxFknn2W5woUQNiJiOBdZcoglMTGoqhJ\nGVevWmN0SOo6iRuxezemzaVLswvZtClmmKtWIQQEB7Ob3a8f93TrhqBw7hy7bYUKIUQEB2v/cnEV\nkePRR3legm2KUFioEIJxeDi/+/oCFqSm8u1TpvB9vXtTr5AQXWbjxpTxxBOUmyMH50WKILiIsi5H\nYKA1A0fx4lYrEzneeov6z5iBov/GG/R9vnxWs2xfX/r88GG+WeobG4tAWKiQ3oEcPx6BecsWrCSe\nf57yO3Sw9r9haKH288+p77p12n1o7Vruf/llFPdFi3T8iLAwFI9LlxjXu3cDUvj68kzjxowtATrk\nfQcPMp7lfPx43jVxIvWrX58x9/nnWHwIUNSsmXbDiInRFjQ5c/J8dLQus3JlrF0aNwZgUMr6TklJ\nLAE4Dx5EyalZk/oULMg4Dg8H4CheHMuTcuUwjBg2DLAlJIQd3tdfZ64XKMDcP31ap2oNDORdV64w\nXmJjORdXqO+/51wC9773nlLfhZlMbfLlc86X1L3Dm9N7GIahevWyfnNyMv3w+uuM81y5GCMTJgA8\nZiSApz399psO3pxVdPUqoGzp0ijC8+czL0eN0oE+zTw5I7RnD/ylWrW0pvdbtsCnXSnDV65YLYns\nrSjM9Ouv+r7/+z/e60gx/+oreLzZImXZMgCr8+fhKSdPsi4KUGCzaaU7Pp75tGULQIuk28ydGxDj\n1i2WcJuN9/v4UMZDD3GfBIeWQL2xsfqdKSnaAvHwYfieUvAVse4Qy5nDh3UgTAFsbDb4b506gFYS\nV8ee9u7Vmw/Firnug7NnGQudOvHM0KGux/yRI45T+N68Cfjt58f4kzISEgBTnnrKfZBZoVGjdArk\nK1cA/tau1WM7LIx12dMUxEePMia8Be2qVmUjIbMoNZV+mziRPsydG2vAWbMAVu35woYNrFX3Iohx\nxM5s+YiT59S4ceNuH1slr49Kq0wuXbr0jsWfyCxyZemQWa4mmfUOZ+W4cnXwxPLAmVuJs2vOAA5v\nAQt3biPOgA1HaVVduYl4Ck6k14XEWzDAmfVFZsW9uBddRpyBLs7mjD3Ys3XrVgufulcE5fTyZeWK\nN1+/rmwPPHBbGps1+NRtwaxpU4Q4OZdds9mzUXKUQhiR6ytW8Nvw4Zw/9xznEtgvJQXlp0sX3BMC\nA1EO27dHcW7Vip0mMU1fvBjFq2JF3DouXtQ73du3U/azz3L+yCOcx8fr+gQF6TgWDz2kBeT27fVO\nUr167OR368Yi3q8fuw41aujgpZUq6ZskejAAACAASURBVPSvNhtCo1n5HjCA/yWexvLlKJp+fih8\nZcuy09a9u/YjFncUw9BtOX8+9/r5ISCvX2/NImJWiuPiUJ4bNQIMePNNHTRSjlmzaMe1a7VLjmHw\nLcuWIYhev47yfPkyAtn06dYyqlTh+8zmpMWLs1OoFO21aBHtIinvDAOBb8GCtK4kOXOyC5uQoNMJ\n2mwInJMnW+9dsYK++OQTBFnzNTF5PnAAoGXGDMpJSrLG8MienV3SffsAVMqWZbfx5ElrrBVp1/h4\nAKwuXRCkX3gBU/NKlWivY8cYL4YBSNCxo7aGEZPtrVt1O5cuzVi/do2x8vvvKDv9+1Pm+vV8e40a\nui5iZi9WO717W4OSiqL00UfUQSksJUSZKloUJXH5cqxKLl1i3syaRb8MHMjfKVPo21q1mE/jxwMY\n3byJgF2zJu/t25d39OiBtYBS1jjAIug2aaJdwMxB+0aMYA7L+f9G7tAnOXJYNIl7lTen9zAMw+1O\nbEwMyuOIEToFc5s29MXBgxkDIF59VfOtrCabDUW8QwfGVZ8+rAHDhjFOzbv7GX3P6tXM3549rXEI\nJk+2ps92RGb+vn6963fNm8d9uXNTbnAwfNieXn4Z5VDiLsTEADacPq0BTpuNXW4BtebP10GlP/4Y\nfpGQQP9fuaJBDKW0hYVS8K/t25la0h45cwIoVqoEoC5ZRXbuBCxRCgW1eXP+r1qV85gYylu1imla\nrpy2wLTZ4Bc1a7I2lyunQVUzrV5N/WrXZu1wF0CW7BcckknFGUkq3SVL9G82G2CpWL6ZXVYSE7WF\nnjdg4LVr8NDffkNmaN3aGqjzp588n4f79wMkv/OO5+8XmjnTGgQ4PXTxIm6sTz/NmlS2LOvrpk3u\ns8NI1qx7AcQIMQzjgOl8umEYo/75P12BPR25LXgTf+JuAjXsvyUrXE0y6x2euovY3+soiKdSGctG\nYgY4nLlE8H5rkFBHLiYVKvRV2bN/oSpU6OsW2LBPq5qRTCXeWFS4cv9w12f2SnpWWV+Y63a3uow4\ns7bwJLWrJyDMvSIop5cvK1e8+fffb0sMiQUClFI6/sO6dShxIlB06YJwkC2bzg0vLgkPPICAZrbM\niIpCUBBl/uJFFv0CBVC+Bg9GCMuTB8CifHkEnPz5UYL8/PBjDQwEAGnbFgCiUCHes2mTfpcokN98\nw/mPPyLgy/XHHkO5PHCA8mTHWHaUQ0IQSiQ//IcfAhB07w5Y0K+f3sEX0/333kOhlHcsW0a9iN6N\n8hsXhzD56acIcLduUTdzetQSJWgLSSn66KMIwxER+A/nywcYce4cdRg0iGudO1O+uOqYdwabNEFY\na9sW8197ICEgANeNgQP17/Xr0zdSD19fvvedd3ivuLCsWwdANHo0AvfkyexqlS3LTmjp0rT9t9+i\nIJszltSuzY5927ac+/igaFSvjtIvYJEc7dtjldGmDXUwX6tWDUXopZf0va1acSQk8G1hYbihFC7M\n/Q8/zL2vvIK7kGQUMQyE0cuX2QUPCsIypnt3+i1HDnbClbIqOUWL0gfx8TrA6vHjPNOgAUJnxYq0\n1SuvAOzduIHgX7Ag322zASDlyEGZc+ci+Eu71aqF0iJAVNWqOi2kuGH98AOAk7Rt//5Yb+TNS9nZ\ns2tLp6gogJ9ly5gLrVsDFB06pLOWmFOvytzasEFnRzCDhZJRYO5czqdMYWzJ9ddf13xi6VKlVGqq\nSno4p77BRRCIe4U3p/cwDOO2hZGn9Ndf8KfnnoNvBQWh/K5YocE9T6liRQ0I3ymKi2M82POl995j\nh9pZYEdv6cYNABpfXwCSpCTtSihpje0pNRUFt3NnFH7DwC3MVcDFp56iHf38AGQCAnRcI6HkZPir\nOfbI4MHwprg4+MgPP8BbypShLwVgvnSJsurVY84+8QSBss0gRvXqOrzMwIEAkgLsKwVPHj+etSwi\nAkswpbAWlHTL8+axdu3cybhKSQEEEJB9wQKrBdrIkfCia9fYBOjRw/rNiYmaBw8YQJmustfYbCjX\nMh78/eFTrqw2eveGb8t79+2jnapUSRtuR1K/tmuXPmsmc1avQoVY9xwF6nRFu3bBcyWjmLd07py2\ngvWUEhJYi198kTGdPz9jfNky7+PvpKSI4a5zvnw3MNX3DcO4aBhGomEYZw3D6GWQyu9bg1R+mw3D\nyO/kWZcNYK9Q2LsxuFLY7zbXkzvhauLNOzwpx10mErnXVRBPV6CIN24lWuFMC1iYg4Q6qjMgRh+V\nLdssVaFCH3Xz5k2HFhfOAAlH98q3uctU4qlFRXrdP9wp6em1inAGBNjX7W5xGfHE2iKzUrveC4Jy\nRviycsWb33nn9socVR9/Edlp1u2DVcbixTozQrlyLIr2u8cSo0IizH/9NQqbUla3iMKFETLffx8l\nLTgYoWPBAoSSJ55AeJw0CUHogw9455gxCKDXrlFGjRoIFOKPL5YZkmLtmWdQqsTKQd5/6xZCopxL\ndPJ16wAYJDbD/v0IpV9+qdNiBgWhfH/7rdVdpVo1bQWQLRvl7drFTn2hQuxS9+nD/5LF4/HHUTLN\nwRmHDgVsuX4dYGf2bL7l99+tgn9qKhYRlSqxE+/nR/0ff5y+UQqT6tKltSlvQAB9df489TG7gHz6\nKX1Spgz9lycPQFFAACa7W7Zw365dxHMwKyDBwdRh1y7Oa9TQkex37qTthw9H2bp2zSoQ1qqFAH/t\nGjtq9eujzNSqhdB8+jRKQL16KMQTJiDgrlwJUNSvnw6CKkr0xYs806oVgm5KCkp4mzb6vkmTtEVM\n9uzc6++Poj10qN4F3LBBZxmpVQthvEMHXc6XX3Lf7NkIybGxgCXffMNYunKFHfRevRBAz561Bo/d\nvJnnJYWvYWCy+/nnKKpTp3Jd3LoMQwf87NgRYXTvXsbBU09h9VS4MKboLVsyd/LlY5xFRLCrv24d\n/VO2LH8XLqS8ChUYUzab9l8XXpCYqGPZKEW5AqqY3Y26dKFN3n2X95v5iMTZ+bt8A+vAc0L3Am/O\nyGEYxu24A+mlP/9k3nTqpFMgDxxIszpKQyn0xx/M7czwsU9NBVzZvx+ev2oVVl1DhzI2GjSgXvny\nYRVXtCi8slUrKx+Ro1gx5n7fvpTzyScoqOmJD3L4MPOpXDl42NWrgIzmYJ1Cw4dTV1ESJTZPkybO\n3QRu3uTb+vWDny5bxtzu3Nn6zIULrB0Sl+HwYR1cU7J3paTojF4HDrCeTZ7M/bt38/ykSfyeO7d2\nl+vUSQcG/eQTwMZcufS7mzblu1q0YP0R46cmTbS1yfDhtHWvXvCclSvhDzExtFlAgM5WNmYMPC06\nmu8tXz7tt9auzTr+xhv098mTzvto/35rfCfZJJkyhXZx1O+rVtHut25Rv4EDqePixWnHdHIyPLt1\na+8CxyoFiDR+PBs1hsF64qkbipm2b2d9EQApvdSgAZsazshmw2Jw7lzmV548zLXXXgM8TE/dzfTo\no6758r/OVDNyuAMxXJEzhT0tqHF3up78264mnny/IyDBkyCe9ve5AkU8cSuR3xxlNXHtdgQQ4QwQ\nsbe4cPROZ9YZrlxM5PqSJUvSuFs46iNv3T/M4zcrgmnagy9Z5ZqSEUqvtUVmgC73u6CsXPHmQYNu\nSw5n+7JNJIu1Utq0c+5czjduRDgR83MROpo0sboiiNlsnz6YsSuFYiPXP/mE39q1Q6iVGBcNGiA4\nli2LIPnoo5jSBgZiaVC+PAtxr15aeX32WYTdpCSE+EceQUCMi0NoFnPSJUv0+82BOuvW1UFDBejo\n1YvfOndGoFuzBmF8zhx2usuWRdjcuJH7u3fnm195hXNfX3ZpJEBjnjwIoC+8gLLq60vTS7Tx5s11\nvbZsQdBq0oR3TZ2KcikAkmHwjXPmIHgGB1O2+ICbs8kEBuJ2MHAgyv+iRVhivP46grIo4488Agjx\n6qso4swLjooVaSOzktG0qTWmxZNPAjKY72nWjPIMg/rHxAAAbNrE2Hn+eRTmJk0AWSRF6caNABcH\nD1qV49BQvYP29tt88y+/6NR+YkFiGOw2NW/O95YqpbO5iBWNYVAPpVBoRo4EvNuzB4GvShXuEYFT\nUviaAbrjx3Xbvf8+4EVgIMpH/vy4X0VEoKBER+usOxKs0xznolUra+pgCTi6dStCvFLsVOfIwTjw\n9SWOxccf6+CexYoxr5o0oS9LlAC8i4zk/+PHAVrEXL1DB8A2w8DiRymdtUQpa7pdIQRYdpzNsQNk\nV88wsAJRCrAjIEDvkhoGbayUUn+0Ha4fdhT6X8kz9zdvNgzDYWrH9FJqKiDlG2+gsObODaA4ZoyO\nryA0axa80xXFxTEOfvqJsTV/Pm5Ozz7LmK1aFaX4wQcZk+XLM/66dmVOzZwJ79yyBZ589Wpaq4YK\nFQCwjx6FH+bJwzgbPZr3DRuGMlyuHHMtMBAlvXt3eNqaNfC+qCjXFhOffqoByM8+g/+Zgy/OmQNf\nt89wMnq05unOgjUeOEB5Cxfyd8MGLMwqVNCZRZQCsAwO1jv4jRphVWOzsa6KO8bKlYDJP/wAACBK\nec+etEVICO0kIMbo0drKQ/jKww/r90qa72zZrK5zZiAkMpI1Ml8+3itAilKsM+IeOn483/X334Cn\n5oCkSvFswYKALcuWYU0hsaPsKTraIoIow7C649hsOl24GZg4dIj37tunLcqef15nZzJTcjLrSMuW\n3lkw7NzJOM6fH5526BCxMWSDwBvasoX6ypqTEVq8GNDKTDduMKb792dsBAfD5z/80HGbZIRYk53z\n5X+dqWbkyAiIYU/OQA13rif/tpXGnXY18cYqw9PnPL3PmaWDp8E8PYmB4chtw10b2wfv9CTQpycZ\nVrJl+1jlyNEmjQWH/X3eWF84su7ILCXdFaDizhUmq8kZaJFV1hau6H4XlJUr3iwmAYahjs7+6vbO\ntAT4EjNw2amdPFn7UMfGcm3UKHZzxApCdisWLOB/2bmVjBRiDn/zJue5cmF1IMq3j48WaoOCUJBf\nfBGltnBhFLSQEISdEiUAT0aMQECoWROh7/RpFvVGjXi3WSH75RfqJOcNGyLgSkrNnj1RBo4dQ/C4\neRPld+BABPbduwEb/v4bwbNqVYQ8pajHM8/QRmYrh5IlAWFSUnhm7lydZURiKISGYt1hBljy5QOg\n+eEH2jQ8nOunT+tgooaBwt68uQ6oaP7WhAQE8FOn2H2Ua0eP0q+tWyM0S2T+kSOtMRqmT0dwEoW3\naFHAqfh4HRPj8mUdhDAsDEsPc7pRwwCwEmsEEZQ3bkQotncjKVIE8EGUZjkeeghlpm1bqxLdqBEK\n1/nzPLtiBeCB/U5vtWoo219/rWNHNGlCPRo35ltTUmgXeaZCBXbQzFYwZkufLl0YFwsX8vzTT1O3\nffvYUSxfnvF07RrvNAyE/jlzUCIMg2+KicHs3TCw/IiJoS6BgQAWn36KYpovH4BP7dqMzbx5Ka9A\nAQ3cXblCvXr0QNkpW5axcO4c8ysx0Qp2SdC6o0dRQERhaN+e66++qoPIGgYg2K+/YjVjGFp5lDGZ\nmspvfn7aHNwwAEhtNqX2jDANDrO5hh3d77w5M2VmR5SQAH8ZOxYrIklvPHWqug04rVpF7KOhQ7Hk\nEauJvHlRhIsV49l27bh/wgSU3XXrUPTOnvV+d1vo5Mm01iA3bzKXypVj7ixapHfiU1MZT99/j8L/\n8ssodOJKlS8f/LhTJ4Cb5cvhM+fP82xcHICdry9zMTSUefbppyh+zqxizDFgHFlwKIULWOnSrIV+\nftRR0r+aY2u8+iq8JiWFsurX5/edO5l7ItZIxqJq1bS1lwTulLoIALFkiTVWgrjeCZnTmsp83LKF\nfhUKD+d9kZHwPDNYK6D85MnwkitXWLNDQ7UFiM0GSBoQwFq8YgV80QziCKWkUGf7YNCO4okkJdFe\n4vYSE8PY6NcPULR2bQ36OnpP166MeU+CxiYmauvQkBBAODOodfgwPM4ba4YNGxgDEuQ4oxQVheXg\npk30R716zOumTZFTDhzI2kC9WFE658uumF1eZ9fuliMrGbJnrid3h5XGnXQ18RYk8fQ5Z/c5Uu6d\nBe10lPXDlcIu99nHwHAUE8MMTriyuHAUgNTRva7cSOytI5YtW5YG9Emv9UVmpkv11GUkK4AAb+rn\nbUDOrHZxyaigfM/y5uRkZTNlJtm76bLavZvTRx/lFglcNn8+5+3bs8grpa0MREiZPVufi3+8YSAQ\niIWCYWg/TPFkEWtyeUZ2gidORLAsVUoLnz17Ihh99x27T6NHI6BPmIAQN2sWgtFff2FFsXAhAocJ\nq7mtgNati0vFmjXahcYwtOVGjx46DsLQoSjnspvz4IMADqVLE5Nh0iTeWaCA9kt/6y1dppjHvvkm\nQkdqKnE6PvwQIKZXL20BYQ6GKTt2Ylb78ccIdEpZwY45c3jH1q3s4BkGym+VKpj1V6qEci1WNiEh\nKAYhIQBV69frsnr10lk6qlZF+AsP1y45P/+MklC1Kkp1jx4AIK++ChjSuTPfVaSIztxx+jRCrdla\nQgCk0aMRFuU3X1+AjaQkxoq489SvD+CycyftMHGitawBAxDM9+xBaBRff3PA0+LFdTrJPn0QhPv2\nBXA7eZJ3HznCmBHLEMNgx9CcktbPD+Dj0CHqd+AA/Th6NO8OCaE/bDaUEBnj5jI6ddLuVzLmBfgz\nDL1LPmAA/b9pE0DV009zX8OGKJ9PPcXcyZaN93XujPIUFYXALePkiy8or04dnelFXFQkC4pS+v1d\nulgDiq5fzzg3DC2Qi3XVli16nBqGdpFp0UIrcOIydf68UlsXm3Inm8017CirQIy7hWdnNYhhT/v2\nWXmdec4NGwZv/+47lLVr17JWGVIKvtWzp+NrNht1iYzUaSuPHXNels0GsLxjB1ZLEyZgrVG7Nrzw\nkUcARZ54QoNzcuTPr9cFZyT8JkcO5xkznnuOef3NN/CIbdt06taxY1GqU1IAXceNo4yCBTVPkpSr\nSumglbVq6dTJ5noYhk7TvXmzBuyV0vxb6O23OQ8P17+NGWM1gsqbVwd6NMeZaNsWPjNjBmvxxYtc\n69BBW13dugVfqlIFIOjdd1m7HVmu/PQT95Utaw0Y7UrJv3aN++fPZ900DNpt9WrnYzQ1lbWpcWP3\nASsvXwaoCg7m/s8/d+5mVbOm8jiOzdq1rAduwuB5RBcusL4+84xuswceAISUGF93gtgIcc6XXTG7\nPw3DeNrZ9bvhuFMMOb1WGv82qJEVriZ30irDkaWLK/cRAZ0cuUqYFXazdYYzoMPZuRmEcGdxYVai\n7cePs0wl3qRaTY/1RWYF7LwbXUbS6yJyp0GWTAAx7k3efODA7dXw8oOF1O7d7I48+qgGMXr2BPWf\nN4/zkBAEE5tN79zLrqssrLpd1W0Fx6wQtmhhNeu3v1+6XFJ4ijJarhxAwsCBvK9ECUynhwxhB1z8\n9XPmBFDIlw/hZNw4vQtZqBB+veY0sUppwaBkSZ6TuohPuSjjP/+sU8A1bIgA0a8fSuXo0VqoE6HR\nMNixlJgUZtAnLIzdk27dADxeeAEARe574QXq07Eju4YXLmAmPnSojkeQLRs7pQsWIAgXLYrAWaUK\n7WaO3TBsGOBAv35WS4Y6dTS4MGAAoEVICEp67twoyR07siMlZb35Jjv8cl6tGgqJnIeGoqB/9x1W\nHV9/jfJgjv2RPz+AyZ9/areZihVxf2nZUgu4Q4ciUMbHY5XTsCF16dnT6ubSsyfAigSEEyBA/NTF\n/cnfH+Di2DHGcPPmWNAopa2FQkIQZjdtYpyIv3+pUrT3rFkoRitWUKfZsxHuzVk4li2jTLF+qV4d\nwVvqJm4EZj1+yRKE9ZAQ+n7tWoT78HDas25dABGJFeLnx/hu3BjlKjbWaoH08ce6PitX8tucOShL\nSlkD8dpnEVmyBIWkQweUQqV0LBRxcZHx2rYt519/bT0fM0a7qvj60j/r1yu14YtUFZPNNICcRKTM\nQhDjruDZd0JmvnYNsKpePfpAUhKHhWkXsFKltAI7ZIjOTJHV1LSpy5Aot+nMGZ0KuUULADlvY3nc\nvAmIs3Yt68Vzpky/hmF1iXBGEycyV6tUARyxDzoZH8/cmDePueDvz5px+TJ8q0ULANFLl1hDvvkG\n8FdczC5c0OlPlWKtzflPDFwJihkXp+ssIMaJE5z/+SdxiSSezXffwbeEr5mV75o1Ab2VsvL2sDC9\nBm/ZAvA7fTr8SL53zhzaID6e9ax8eXh5XBxAWMGCALxmungRq4hCheDpRYuyNhQooOvhio4d03Xs\n319boTii1FSAnAYNXI/j3bvhhZKFaf9+9/VYtEhnjXFF773HGuHMSsQdxcUxhoYPB8wqUABevGwZ\n4ygiAqA5Xz5Arg8/dA/WZAYhNjrny66YXTHDMD4zDOMbwzBCnd33bx53GlUW8sxK4993PckqVxNX\nVhOuQBtPrC3M9zkLDOrKfcSZ5YVYbrjblbePiWF/7gyosresyIy6e5JqNT3WF5kRsPNucRnxxNri\nTriIeEOZAGLcm7x51arbUsHWvE+o335jIe/dW4MYlSoBAMyZg/CVOzcCguxu163Lfdu3q9uKt1KA\nC45Aijp1EFq7dNHXu3bV2SokBsGRI9byJNOIZPjYvRtF2WZDeGrfHqHSZsMUXywWtm9HkJg5E8Gu\ndGl2Gd96S0ddl/SUhoHAYY5VUKUKJsnMK+6X4JUlSrBj37EjIIKPD8Lnyy9z7cEHtQ+s7LgbBord\njRv87+PD+0aOBHxo2xbBvlo1npN2EnP/rl1R1v39aZtevayuMu+9hwCaKxcCZt++ut2VQnDdvNlq\nefHccwg/R48ioE+cSD2uXNH3SGpbOQYPtrqcdOpk9W1+6CFrINUSJVCk9u2jrIQE9FaJE2EY7KKO\nG4fQZgbFpO0LFdKxKuSIiUG4fvFF/v79N+0h5vKGgWVCQgJ9VbUqCtyIESgLYqHTrBmKknmHVgCs\n/v0BqE6dQvBeuJCxdOQIYMOTT6KQxMfTl/LdTZqwu2febUxM1LFXJHp+gQL01/79jLUePShv5Uqe\nFdehDz7g+80uIytWoHRIZpOLF6mHZDVQSruBvPYa55IWefhwvlvqNn48O4ZiuSGpXKdMAQBTyhIH\n+LbpvVhrnDpF+2fLxm9nzqAwyi6yry/jcdw4ALLfC9TXhTmJdpeFIMZdwbOzSmZOTAQ87dCBHfb2\n7QG3xO1j7lwdZPW99wDDpk3DRUiyy+TKxd8pU+B5mRm7Qyl4YJ483gXrjI9n2apWDZ4ycyZzLr10\n4gTfOXMm43P4cA0MOKNJk5hzgwYxL7/91nr9jz/gcb/+ijWWvz/WIcnJ8J2QENaZLVtQ9n/9lTkn\n7SApV4Xef9+6FirFemEYrD2NGknGCNY6M0+tX9/qdhcWBr+S1OMCBIgFpmEQ50IpQKJKlVhHQ0K0\nBeWOHToj1uef8//ixfC1jz6iTSSWhlKMuTfeoH1HjaKt/f0BMvz9daBTZyTlmvm+Kwshm42xXbeu\n47GVlITCX7s2/PyNN7wbQ1evwn9dPbNsGTxcLGw8IZuNDZYZM+DLuXPzDa+/TpubQbtVq3Tg6Vu3\nsEhp3pxx1KsXbZrZ81UIl2PnfNkTptfSMIwrhmF8aRjGejncPXcnjn8LxDCTMyuNu8X1JCtdTRxZ\nTXhi6eHO2kLIncJv71biyvJCvtWZ9YyzmBjeAFVmywpnwUqdWVlkZqpVcxtl1PribnMZSa+1xd2S\nBUWpzBOU7znePHjwbalgQeAEtW8fAtCCBYAYcXEIR337ovR/+60GLTp2ZBdbUtWJULRqFec9emiB\nQykEGVGclEKZLVMGhdMccLNSJQQ9s5KqlE4FKj6zL72kzW47dKCeb71FnR9+GNPWadPYNV+3Dn/u\nlSsRfE+cQIDZsAEF0axk7tqFMBEaqoXQ2rX19T//1KCH7LQ3bQo40KULVgu1ayPUVatGWSKEGga7\nSWYAR6KMP/00yl758gTQe/xxhF6x4ChVCmVa3EE2b0ZxnzLFukP19tvs7tWqRb9VrgyQ4ufHM/nz\nW61gDAMLgbx5rZk7ihWzxqk4fFgDIi+8AEjl50d/1ahBPf/6C7DEMFCS9u7Vz+fNa7UKadRIC2ny\nW0gIfRgSAtBVrBjuCoGBjJGzZ1H8RcnOlw+lpnlz+nL0aN5/6hQ7zOYYFkWL0l979lDvc+foSxm3\nhkG5Eybo9KJhYewynj4N2HT8OPfExwOo7NmDoi9xO+bNo78l2KsAROZ2EIVn/Hg9d3x9mS9jxzJG\nu3VjN3zCBPq3QQP6vmtX5oxS2mXEZtMAoGFo8+0uXZjHSlmte7p2pT3N409SFYvrkpQn8+vrr6mD\nUoxreVZi47RpQ19JwLuiRWn7MWPoi+Bg/Z2LFzPON21Sam3RYbqwV19Ny59U5vFmZ8e/zbMzU2a2\n2QChBg5kjNetS3vbB6pUCiB0yRJ9fvIkfKtJE73bfusW82/wYEA3X1/42/LlOs5RRuh//8M1IL30\n66/Mlfz5sbgS5dsbmjtXB7q9fBmwOCgIPupKCZw8GZ68ejX3T55svf+zz5gTUVGsF/7+rC1K8d1+\nfgCQEyYwt1q31v1hTrkqJLFnVq/Goi1vXs7Ll4evSywgseAQ0F/oiy/o3wMHtBWfYcDXnntOg7nT\np+tnxNXMXG50NN+1di3zu0gRHVB67Vp4y++/6zK++op2atWK33v00PE2/P21G5ozOngQXmsYtHNM\nDM9v3Oj4fpuN8R8Roa1JhP76CwCqUCHa/JNP0p+pQ1z6HNGcOfSfo1gg9nT5MiBi9+58X8mSWEp9\n9plrMG3HDgBte7pwASvB8HDks1GjrIBSZlG6QQzDMEobhrHFMIy1hmE0MgyjgRyunrtTx90AYtjT\n3e56ktmuJubv9TQbifk5V8CHM7BCrtm7lTiyvEhbL8Ake+Xb7GLiKkaGO+sWaQuzZYY9YGTvXuKN\nC4k7hTwzrS/uBpcRZ6DF3W5tV+Z4pAAAIABJREFU4YoyQ1C+J3mzaJyGoQYU/ULt3g0Y8NNPKGa/\n/spiOGQI5vJvvIFAK7nKW7ZEqDp7lnPZgbn0/+ydeZyO5ffHTwbZ15kxdsZYxr5nJ/suZN8lEaES\nSilL9iVEIYWSZUQYu1IpW5SvQipblhbKmnXmuX5/vB3XfY9nZp5ZLPXrer3u18z93Pu1nOucz/U5\n5/zKyrkqScbY9KoKYsydi6FljKXHPvEERqpmtBBBqVYfYM1s4PFg6KrSWqMGx0+eRGlMkQIDt3Zt\nFIILF1D6zp1D6dq6lfe6dAnwoW9fFPQSJYi38M03MD48HlY/NFhh//5udwh1RVGgISgIo/jKFcCD\nFSswTPPkwdgfPZrz9++396hcmbrRFKFff81qd5cunF+ggE1Hq24IuoL62GMoUvnyAQg89RQKmhr5\ndeuiuP3+u9udp1Il3qtOHZTOb75BSXW6EoSFce/MmTHmP/mE93jvPasgLV1qA3sOHYriqJH5/f1R\nWtOkwejftMneWwQQ7Nw5gIWqVanr8HB3sNIVK1BEDxygDkeMwFipUoXf27Shvnv1whhxuka0b8/+\n6dMoyzNn0pdCQvie+vV5ptPdIksW2s7jAZipWxeAa9Mm2EkvvohrlccD2KIxTJRVI8J3O+N+qJKs\n+4GBrGju309bRUbyfuHhtPX77wNQfPUVBkpEhKWhZ8iAcmyM22XEyZjZtYvf3nuPfW8uIkeOAERN\nmMC5mzdzTKnmmlZSQcQzZxg/kZHUc65c1v3g8mUAmTZt+Pa//6ZfvvYa9XntGmPt11/5u3s3q88b\nNxozusgH9kENG94pn0ziyOYYZOJ9l9mJoTMfPowxnD8/24gR/BZTKV7cGtVabt60zCFvLh6//ILc\nbtOGti9UiPkgPDx+qU87dYreEIxL+f13QIQcOZANixd7j1fhrTRocGegzt27bcDmr76K/lqVzzt3\nIvsaN3YDRgMHcv/ISBgLgYHWtWD/fuREz54AFOXLM/8ow2DxYpty9fp1G29KhPnh4kXmtokT7fOq\nVbOgQFQQY9o06+poDHPeuHG0qTOr2Acf8EynTPvpJ66JjASM6NIF2fjoo9S9Mfb7NNX6zz8DboaE\n0D9+/pnva98eADMg4E4Gi7OcOWMXLhSc1/Lhh8ybUdkYHg9zdPnybgDgm28AqjJkQMfYuzf65/pa\n1q+3+oizjBnDfKyuP1HLtWu00eDBzKPp0yMvZ86MPoOLt3LuHHNrTIyU777jOTlyUPcTJ1p2XUJL\nfN1JxorIQRGpH90593t7EEGMqOVBdT25G64msTE9vBVf0qt6i4Hh7VpvzIvo2BXRxcXwBjhEbZeY\ngnw6z1dmRkzZTGICJ6IDJLylWo16v8RgX9wvlxFfXEQedLZFTCUR3En+ebI5IsJ41NlWxFTLf9os\nWIDh9O23THozZ2K8DRgAut+2LSvFQ4eiBOXPj7L04ous7KVKhSI8bBiGU8GC0IWNsUFAe/dmv08f\n4ioYgxEsYmNfLFhgboMSK1daRUYZFo88wr4zdWOSJPzvzDoSGopR9cEHltIeFIRy2a0b39WkCcZc\njx4oPzt28D2DB3O+BiTVmAknTtj7h4RQL7o/ZAiKXng4isxjj6FUf/UVBt6FCyjMToaDpocTQSE2\nBgZJw4Zcs3Yt32GMdXXIkoXV8Xz5AGyGDsWY//BDtxuPCG4dUSPAR0Sw8jNzpg3EqIb///7H/b//\nnu/79FOArYceQgmqXdue70yx6kyFumgRCrMIxk7TpqzGlyvHCtiWLXZlUYT2rFfPAjm6JUlCXSn7\nRLc+fTC4f/sNZTZpUowpZ3BQEZgf33xDny1ZEsPm009hyOg5xYrxm7J/SpbEyF+1ijGwZQv1MWCA\nrcerV2061QULUJw1y0jp0vRLdWfZtMm6xoSGAnyUK4cyW7QogFpgIGBLnjw220JkJMrn99/T55xt\naIx1KVH2hDMTTM2a9v9atVid37mTfTXK5s2jzYzBABHBgHX2MxEb0FdXFidN4v0CAmBsvPUWdVW3\nLmNszhxAxxde4D0+/JA+s2YNIMaZM/xdsMCYro8csA/KksWrRn4X3UkeCJkdX535r79gWVSuTN/o\n0wfZ5UsgzqtXGdPRZWvYtg1gtkeP6MGJyEiMfafrSfXqgAlffx17vIqICN5bXRQSo9y8yep6jRoA\nZa+9xriKrly5wrhVtzFn8XiYN7JnB2yPGvtCy+jRzINHjyIH8ua1QMWNG8j/119n/6OP6OZqRF+4\ngDxwZpRSFzOPxwZgzZuX8dWhgw3qrPdzJvbp0sUa+xruSsuzz7pZFoUKud8za1bYjc74SCLuwJxj\nxzKfZM/O+FaAdvVqZNju3YCaL72E3B87Fjm3ahXy4s03kXcBAchFb0UBG1VNAgPvjK0REcFc4QwE\n6vEgw8uUoT1v3gSgrloVOTpmDLInsUpEhNtdxONh8aVQIXdf8XgA4adMoa3SpmW+GzYMfcdXsM1b\nyZIl2lBCrhIZyRzXvTsLHHXqwJhNiFoeXxBjlIikiO74g7D9E0AMZ3nQXE/uhqtJTEwPb9f7Anz4\n6pqhwE907AgFFGKOn7Da+PlNun2tOyaG93Zxghre3tVbJpKLFy+aWbNmuVwgvGViiQ2QcLZLXOJl\nRG2D++kyEl8XkQeZbRFTSQQQ458nmw84DIisWU1oKIZa584WxOjRg5Wy557DQCxQAAU1MJAV39Sp\nUXIDAlihe+QRFOPAQJTqbt0wMI0BvChZ0sahqFABJSQiwqadvHTJxrRwvq6+5uHD7oCZoaHWI0bp\n7k7XClUWmzXDaDIG5SpfPii0efJgDGjgyQoVMPLy5UPBW7aMd0ublv0bN6zxXakSCqfTZWHPHt5f\nA5J264YS1707QMPAgVBxu3ZF2dE0tk6gZupUuwI1axbGZ7lyKH0acPSzzyyduEEDnlmlCopKy5b2\nXu++y/01xduSJQRHfecdFNElS6wvtQj3ePNN2j0gAANfV/RFqC9lncycyUqqgg1KPdbNmQawTh0U\n9kqV6EejRrn9tEXoPwcP0v9at0bJCw6mPSMi3BlbAgOtO4oGlxVh5fLYMRTl9Olhm2TLBusibVqe\ne/YswUv1mt69UZzPnkXBGziQ+69dS39dtYp+53zfX391t9nAgRhjzkwLQ4fyzCeftNlsXn2VMdai\nBSuwI0fCiMiSBWNr0CAMiBYtuMezz9o4Furi4m1c6Mq47q9a5Y4hYwx9VwQDzxiMHO1/CxcSx0KD\ncdavz1iuWhVjISICY2vRIoyBQYOoowULGIMnT/L8DRtY4V+zBmPro48wigYPBiDJlIl6rlMHmVKr\nRoTxOBE9L8uEdxHEeCBkdlx05uvXYeC0aMH4b9WKfhjX9Ka7dtmYR9GVCxeQ1fnzW3ZPTOXSJdq9\nf3/retK6NbLGG1CxdWvs75CQ8t13AKkZMwLWffXVnQDP2rU2vWl05dIljPJMmZAf3oCfMWNsWukl\nS2wgYY+H34KCbNyHpUsZ7xpA0gl4ilh2lXMe0+w+164x7hRY+PNPZIy2/6uvIvP0+51d67HHMOqN\nsWmW1f1l+XIbM8njcaeX1iHpzPCk99E61PgfixYhj9u357sjIqzLyfbtGO0BATZzkbMoE08DJz/0\nEPNLdEE5584FHNVrhwxBXv/4I/WZMyfyKyws/i4jsZUhQwBzPB7kWYkSMFPOnoVJ07079ZErF/NA\nWFjC4rdELdWqxcxm8VauXKGPNm7MHNm+PW0Y1zpKUEyMB3n7p4EYUUt8XU/uFkvDV1cTX54fF1ZG\nbMBHVDcRb64ZbgYE50QX0DOmuBjOa6OyOHxpl+jcSJzxMrRu/PzCTIoUTUyyZOF3gEW+uG54Y3L4\nypSIC9vhXoEW/2QXkbiUu+13/SBsd8hmTTMgYkzjxqZgQYCAqVMtiFGqFMrH88+zypAqFYZxnToo\nNRUroqQ2bAi9vndvlIsGDTDg334bA/fmTYCCvn1RvG/e5F4XLjChpklj2QYab6JNG/Z37bKvqSsp\nTZqgJOzejVGox6tXR5ERQcEwxrqSKL1Uz82QAcXr6FGUzhs3MLKnTQPE+O47fp89m32PB4NTARZd\nAVuzxtwGLNTdQ4TVN48Ho1qE+qxTB6UwZ06U2dy5uUejRiiO+/fbIIwiXP/JJ4AYefJgbGbMyDWN\nG5vbwMOff2LwN22KYpM3LwqTM/bB3Lncf9ky+1tAAK4LDz2EsR8W5o7XIWLT2YnAljh7lnrZtQuF\numRJ3Izq17eGdMGC1mguVsxmQNCtb1+6X8aMsB6GDHG/6+7dKOrO2Ci6wvbTT5y7di3KuwZd1W38\neICpfv1Qgq9dAwxysjn69KHONEho+fK8x6BBHNu6FZCneHGe6/HQj5zpRsuXt+/XpYs1WDJm5L0G\nDKC/+PvbgLjff49Se/48dTR4MCuggYH0Cw0Y26QJbbxjB2CXGl8aXLVvX5tGV9tWGUgas8bJyFHX\nAnUr2buXMZg6Ne8yaxbGU86cnFetGt9Wpw7fuWKFZVeMGIGh1KABDI7ixQEvgoIYSwUL0o8yZKAP\nZM8OoNOsmQUxhgzhedWrG3dQFLXWHOXfLptj05k9HgzwXr0YX9WqYSB7Yw/4Wt5+28aBiK0sXky/\nGz06btlATpxgrmjbljFQqBDjYfVqgIFBg6zBfTfLuXPMTfnzM5/NnWszOPTti8HrSzl8GCAgOJjx\nEBUQGTvWAhkHDwIWd+0KY2vzZsa5AgIffsh4cTIMnO52ffrQ1lOn4tqlsWmMYexokF1jkE9ffMH/\n8+ZZF82oIEaJEjaF7Lx57sChderY7EPGAIS/+ipblixukOXAAXueZl+ZNYt+WbIkstMY3Bhr1WL7\n4w/6cEAA10Qt338P06RQIYxqf3/0iphYRdevAw7s2GHdTx97zGa8UreWu1kOHqR+FGDv3Zu5Om1a\n5udp02wmt7tRnnwyYe5Yf/xBHKdHHuE7+ve3McFiK/+BGP+Q4pvryd1nacSVJRLb9/iaxSQm4EPB\niuhcK7yxEKIP6KlxMcJNSEhnc+rUKVfci6gxMJRpcejQoVtGdXiM9RKbG4nzXZMmDTNz5szxiQXh\nrKeYGCexGflxZTskRvm3u4jEpfzbFWXjTTY7rf9XXzX582Psf/klIEahQqzSX7mC8dK4MZNduXLY\nGlOmsKKtRkznzhj8xYqxX6IEE2Lq1BiVqVJhhDdujIJVoACTZenSKB8dOrBfsSIK3vjxvGbTpvY1\ndQUqe3ZrmGlgxtWrLaAgYtORRbd6PW0a++PHowwYgz1VqRIGQ758GNqDB6M4zpnDO7dogZJXsSLX\naADT7dsxDPX+WbKwCqX7L72EETBrFgb/yZMAB3v22MwWJ064XR2aN7e+0F27ssrj74+xqEyH554D\n4BDBQP7zT/4eP+4O+BgayqZB0kRQwtQ4bd6ctmrY0MbUGD6c1fZChXje888DvOj1Y8eiuIlQJ9On\nU5d16mCkZM5MWzuBmfTpbWrDEiWoW2eGDBHqPn9+6tv5e+XKluEjAjiiAfJmzID1064diqyyRMLD\nYa44mRTDh9NWn38O4DN+PAr2W2/x7adPs2nImA4d6N/OlLIaD6VUKXMbPNE+FB7ON771FmNm4UIb\nG6ZIERT6/fvdLiInTli3Ew2Eqf0paVK3+029ehgkqjw7+7bGzNA4FyKwPoyhX+fMad1IKlbEXWby\nZECfDBlQbMuWxVDLnBmQsUoVQKOaNTE8R4wAmBg2DGOjUSO25cth8jz+uB2jI0bQ/jlzUrdnzwLg\npU9/axW8f3+XHIpa/u2yOTqd+aefqI58+Rh/r79us8EktPTsaVNm+1KOH6etqlePX0DPyEjk3Jgx\ngFcOL0aTPTuyo0MH+vOTTyJT+vVD3gweTJ977TXqYPx4+uv06Yyvd96BGr9wIf1qxQrmgvXrGQOf\nfw5jbudO5JXKSnWZcgah9KVs2gRAUbv2nW4O48bBXDpxAqCmfXvmx59+YhxUrWpXvN9/n3HuTOv6\nv//ZetH57eRJm/XKGP5mzmyBmEGD7LD5/HPmL2PcIIbHw9yuLICOHQGyjIG5oNmijEFW5spl7791\nq30nJ3C2eTPsrZIlAWHfesuCXNu3M951ztu2jWdopi4tZ86gQwQEUHdduyLzfW0TZywPEeTWjBmA\nRAsWAKLNns0CwbRp9Jvx4wHkRoyg3oYOpY89/zyiqE8f4jw98QRzuwbrbtmS+bRRI+Svsi2dW5s2\nyNO4MqPiWyZNYpwkRjl0yLIfCxWCdRSTvPkPxPgHlviyNBIL1IjL8+PCyvAWZyKqgR4TWOHtXt7Y\nGps2bfIKMihwsWfPHhMS0tz4+YVFYUzE/L+fX5gJCWluDh065GJdeKsXb2lX45KhJDb2RVziXkTn\ndnK32A7/31xE4lL+7Yqy8SabncvjK1fedum4fNlmUyhalFMHDQJYKFMGoy8iAkWoc2e7Uly0KLEl\nChe2WU2uXsVQ++QTVmg3b8YQmjcPY3PzZgzrp59GwfjsM4zXihU5tncvz1W3gW3biAGQIQPPdGZd\nWLSIdx09GoXk5Em3K0RICMqJ7utqg7pqOKskSxZWuzwevnfaNBSt775DodQ4FdeuYZip24EzTsHB\ngyh5+rzNm1Fu8uTBiFVAokULgIoPP+QZmipz2DAUCaeRe/o0CmPNmtY/+do1CwL07893pE+PQalG\nd1AQK6q//sq79uqFktaqFQDSnDlut5J16zDEy5ZFKV6xgt8HDLDxSETcIIMznoWCFCJ846hRvMux\nY26qsn7n4sXU4+jRtEfXrqziDxrE+86YQR9YuJC6atfOXh8czEpkZCSuEpMmUU/Dhrmfs3QphoUa\n+uXLo7hVq4bCu3OnNXD69qXvahwXERRmZwDNdu145ptv8tzs2WEgTJvGuGjfHkNl0iRYC0FBtM3w\n4badli6191PjUPdbtXK7iKxdy9isVYv/jbFuR7/9ZgEQPz/ea8kSvidrVur2xAkU+hYtaJMff+Q7\nJ04EyBo6FANz3TrG8Hff8c6HDwNcrV7NuHvhBfreRx8BSF65Yhk9Q4fiZ50pE+DO0qW0hbpBiWBI\nHT5sboNQtwPgiNjANf+PZLNTLp89y/ioWJFx3q+f7yujcSlly8YcsNJbiYhgfKpbWkLK8ePusalb\nmTLI7jffZJxPmGANzldeAfAcOJDx8/TTgDHdugFYtm1rDc2GDW3gySpVcBMsUwZAoXBht1wW4ZtW\nrLDpRmMrN27AkvD3p42cwTydQIbHg+wKCGC81KuHTNMybx5y49AhK5uLFWPcO0lJI0YgD7Q0aMC1\nxrBgoK4gv/zCeDcGdxXtWn/+CYjh8bAFBdkgks8/b7MKRUQwbnUuNQbwyM8Pud+oEePbCZA+/bQF\nRzwe2i4gADcnYwA0AgLc2USuX2e+1/rbvp22adfOtzgNp07xXs42rFePuezxx+kLmoq8Rw/mu759\nmb8GDgS0GDoUEGPkSMC1CRPocwqOzZmD/vD++9THG29Ypodz7tH/27al7rNn5zvefhvWyt1iYRjD\nHF23buLeU5lfvXvTD6tWZd6ImuEovjExSse0RXfdvdz+zSBG1OIbS+PuuZ54e35cYmc4DVNfsphE\nB1Y4jVxvQTed7IuoriEwKZrfAiIs6OCMg+HL/95YF9HVS9TjCclQEtesI9GxH7zFErlboMX/FxeR\nuJREiInxz5LNkZHGo5EIRYw5edKIEDjTGAtiaPyKIUPsqZrRoHBhDPwZM6DMpkzJhDp7Noq3+jvn\nyIHh1q4dIESFCjYzQp06rJZUrAiAodenScOk2aoVCmuWLLAXwsPtirAxAA36XlOm8Nvjj2PsGmMz\nT1SrBiDyxBP2/IoVrZGofs7qnl+zJitmu3cDFGTNihK2di3XnTjBSszq1SjJXbrwHcuX23dT1wAR\nlCInE+DCBVa1tM6bNQPk2bIFha9HD0sZ1mty5GAVSQRD/+ZNFNPffgNQeekl2qR7d87JmBFmysMP\nW4VWhDb76CO+xakEdu9u42koa0OPNW9u/+/Rw/6/eLF1odHgkMrm0HOaNeMdRFDw1Htg2DAUJE3t\nV6oUfcAZoFKN9z/+YBW2VCkU/kqV3O4hoaGAX9q++/ah+DtXfEeOxPgYNQqj5803UaJbtqTuIyJo\nE6dbS/360KxFeIfTp/mWZMkA7V54AeMjQwb6tr8/fSBDBq5dvtwabMquOHDAZiUxBkNLBEZS/vz2\n2VOnAsRNncq+0rhfeIFv0L4uQjtfvEjd580LgDZzJv0yRQoMjX79WA0vWhTlvUcPlPR27VDqR49G\nwR81inscPozR8tFHGBxt2vDezZoBzBw7Zg2mF18E6NB0mRqnRl26nGls//zTAi4hIcadqkdv6Ch3\nMSbGAyGzRcR89BEGUvr01HN4eMIC/sVUbtxAVkcXayC2smsX7da1a/wDA6oMv3YNQEzHR4sWyLmc\nOQEnFi60gWsTuwwd6g5g65Qlr72GIRdbG/zxB8B4YCBGqzIRxo+3QIYxuDzkyoWMzZbNGvjGuGM8\njRhhjcjAQLsS/vffNquWMQAcjzxij2lsqogI5qsrV9wgxu7ddj7+/nvATY+H8/z9LaAxdy6yVQ3v\nTZsYkqdPUxeaYls3Z5aPy5dhLZQoYe+3YwfzmYKuHg/vnj8/c8SBA8wh/v7UX0wGv8cDeNKiBfK1\nVy8YGxUquFPRJla5cIF2euYZ+kTGjMwVb70Fs0bf9cUXrTz2eDg2dy5Adu7cfH/LloDbe/fGnLY3\nruWnn6xL6t0o168zr7dsia7RogVg37VrMcvlmITdllvbdhG5KSK7RWTPrf+3R3fdvdz+P4EYzhId\nS+JeuZ74Gjsjumf4Gi8jOrAiOubC9u3bo2UznDp1ysyaNcuLS8mdMTRCQ7uapElXm8KFe7h+1/+j\nY6PE5PLi7V2ddRFT+tT4sC9iYj/46nbiSz/4z0Uk7iURQIx/lmz+4QeridzKCiBi/ekVxFCXC2d6\nzj//RGERYXX90iWUlTRpmLCvXMFlQgMc5s8PODFxoo21UbkyhlD27JyfOjWBz3LkQPnKmxcFJzAQ\nI7JBAxSkBQus+8Pp03bFt1w5m00kb14+7+ZNS/nUgIWffML+jh1uH+T06d1uKxp7o29f9jWNXbdu\ngCWXLmEgd+pEHT3/PCtwbduijB08aFOFqq+xshkUYHAGquzbF2V03DiMmPnz+V4NplawIG4+er4G\nKQ0MRDFu0QIFSinEItTR1asotWfO2N/TpcNgql7drZAOGIBCmTYt7eSsj+nT7f9Vq6Kkp0qFMtyh\nA+1Yrx6G+Pvv20CtCno5lfR33gFsWbLEuuI4762xPnQrWZL6csZ/HDUKA7xJE569ZQtt6mSAFCuG\nEaAU7Ro16Huffgp4dfgw7aTuO0mT8s3OgKSa2aB1a/r0nj28T9Om9INChVihq14dhVdTxGqwUfX/\n1nsaY2OFiADgKPNGhHp//XX+12w4GqBTg30uWmT/r1oVRsnIkXxPnjwWxBs1inFbsiR9L2NGVmpT\nprQpkteuhU3Tty/9eNEiAKssWQBnhg3D2LtwgW8oUYJj06fT3zJloo40Y8/DD/O7BiWsWpX3dAYF\n1FVb/W4TESW4Z5Q0EHcRxHggZLaImEcfBQR1poW8W2XvXht/KL7l0iUAw3z5WEWPaxk2DNBVy6+/\nIseCggCxDxwAZNSV7+LFcZtTNlJCi8fDKrrGiHDGXXJuOi9Mnx5zbINvv6Wvlyxp41NMmED9KMPq\nzBlkpAK66i7ilM3OtLiTJtksRsYwpsuUwQiOiADU0LgPNWrY9Mj58iHXnCBGWBh1aQygaI8e/D9/\nPu9kDIBU1qw2iOupU+6ApMa45yAna+XQIcDRLl2Yx4yB2RYYaN9r3z5ccEJDWRC4epXV/nz5Yo5f\n8ddfgKgFCvCMGTPcz+7dGxmc0HL9Om03bBhyOXVqWG9jxsScbWfSJObO6MqxY8yJPXrwDRkzMm9N\nnEhdJyTo6M2byFGt87tZ/vqLsVmtmi7+RC+XfRF6y0WkmGO/qIgsi+26e7FFBTGiGuiJHSviQS33\nK0BozABKzK4msQXzdF7jS3aSqAE8vQf1DDcpUjQxSZOGuZgbes7mzZvNypUrTWhoJ+PnN8kULfqE\nOXTokJk9e/Zt95GYWRexv4MvmVScdRQX9kVcXEbi297/uYjEXKLWkbf+n1iK8j9GNjv5+IUL36oD\nu/qvIIamPFXGgzIztm1j/7nn2FcXAVVMn3rKAiDFi1uQ4tAhlMc0aVi1nTjRZklo2RLDcOFC/u/Y\nEYPulVfwiX7mGZQVzZLQvz/KQ5YsrCx37cpEmyYNit6sWayYi9hVK2UyrFjBvrqP/P477hxaJblz\n27gL2bKhvF6/jtHmjF2QOjXK3tixGILp06MY58rFu6ZLh8IVHm7vffUqdppTWV62jPM0av3atQA/\ntWujwGk+eI3zkDGj22Dv3x8FVwM/Mu5tRotKlVgV/+YbFMuPPkL5c7qAPPusZUUo8KMuJosWoYCl\nSWNX44oWtQydF1+0TBM/P9pFYyCEhaGoKlNDt4YNLWtk0iRLQX71VXuv0qVhB3g8NtWtgjgTJvDO\nq1dz/507Wd0NDLTnvfQSCl6zZvTHBQvs8c6dMRqdIMvzz2Mkab2FhrISvGwZbbF6Ne/9wQewFI4d\nA0SpUcMG1HvzTXu/L7/k3ZX01LSp27Vi40YbkHP2bK53hqr55RcU1SRJ6Es7djCG8uTh3AIFWDV+\n7DGOlSuH0v3cc9TNhAkYmzNn4noyeDCg344dfGvfvoBRLVtiRP/4o83Gc+ECbabsioED7XvNmsVv\nmjrVGMu20NXnEiXYVwq7Xqu0ZGXkGGPcEXE1B/OtcrfdSe63zBYR064dffWddwBajxy5exkV3nvP\n9tWElmXLGE8jRsQt6Ge9em42gpY9e+gXmtrYGOph+3aAuurVGUvVq7OvcYjiWnbuZM5xghKRkbho\nJE1KN0yRAkC8fn2mS2WMAC4XAAAgAElEQVSIdO/OXPHHH+57ejyWmdamDWN34kQ3kBER4XaDOH8e\nQP/FFxmjuXNb9oXHg9x65hm7X6GCdSMZOdLGuhk50s7FtWsDEjhBjPHj7dyuQbGN4X4ff8z/Q4Yg\nE7XOq1blvlo0rsWGDTy3USO+56OPbHBPrU8N+hweTj316sU506cD4v78M7L98cejB+527WIOzpAB\n17ytW72DSLNnW70kLsXjoY4mT0amp03LHDp4MAscGhMktjJ/PrqKr+X0aQD8p59mnkuXjj42ejQM\nnLjG0yhc2M2ISezi8aDjbN1K3xs2TGV39HLZF6G335ff7sfmVJS9rWjHFCvi3wxw+OZ6kjgsjegA\nFF9dTXxhZcR0TlQXEm+/RQ3qOWfOHEcmkajxL1YbkQ5G5KKjjgA//Pws+KGAhrNORT42fn6TYnyv\nOzOpeGdW+Mq+uJsuI/+5iNxZYgJKvbWZN4ZRIoIY/wjZbMqUua1J7c1c0zzzDLsVKzIhKmNBV71q\n1GBfA25pQC1dOVJau0ZfL1fOAiD6qHPn7IrtQw+B5l+8iBJQsiRKzuXLGFfdu3P8wgUbMPC11wA0\ncuXC7SBTJpRef3+Upfr1oZtWqYLhmi0byk/jxhiaxsCUSJ8excUYDHERlDYokhgTBw7YoI7JkrHa\nrYqnKhlq5BqD8ZEuHYBNgQKAMfPmoYRqBPfOna3xoKBPyZIABM4EDb/9BhAigrF64wb3/vFHy0j4\n8ktL2RdBqfz0UxTS4GAU5+nTYWE4QYouXSxDRMGb5MktSNWkiT22fj330WwvyhBQJT/q/7rpSqMI\nyp3eV+tTBENEAZmePaHfOoN7/vIL9z571v6WJw+uGXv2oCB37ozi99df9px+/WjLefNgSbRrh2Hw\n0ksYIdeuserrjDXRtq3t7yIwHzS2iSqax46xP2oUoIBmvPnrLwv4KUBljP2WNGnc9vnIkdS5xpMw\nBsVVBEXfGACJ1KlpJzUqKlakLmvUwNhKmxZGQ/r0KPs5c1qAZcMGjLzOnQEmZszgnY8fZ8y0aMFv\np07Rn0JCqM8lS7i3pu69cYPxGhCAIuuMY6CpewcPtoaOfsfy5exrkF01yhSc+eEHjE+9V7duxvyQ\nxsqj2/5YRseZmLssF++rzBYRs2ABLnddu7LSmTMn4zJvXqrjiScYfx9+SN1pDJT4lGeeATRMrHLi\nBO9YpYpvgUcjIzFMo3MT8Xhs5qYWLdzsBGOYI9auxWgvXpx7PfYY4OGhQ77VS//+XmPIGmMY2wMH\nMjYefZRvCwgglsW6dchVBSNLloTxtnGjNXr//htDL1Mm2nTkSDeQYQz30e7++OPWxWDaNNpcU9L+\n9Rf7S5eyv307c9mlSxjDGTLwvtu2URfGAG7PnGkZaMaAC06bZueSP/5AbuXIgbw8coT3VRLUkCEA\nTfpe6haicS1u3GCOF6GdnCl4NQX7Rx8B4vj7U9/KwFq2jHtNm3ZnW/39N3NpmTLI+7FjkZcxla+/\ntt8eW/nlF2RX+/YsGOTLx4JLWBhzTXzKmjUW6I1POXMGmTlgAMBOmjT0uddeA8iLDUxp3jzhMWqu\nXoW9Ex5Ou/Tvz5xduDALGYGBzEEdOtC327aNWS77IvQWicg7IlLj1jZHRBbFdt292JyKctTV+tmz\nZ0fr6uCLgf1vATniy9JIKKgRF1cTX1gZMZ3jdhPx9pvbdWTlypV3ABbOmBcKRjjrSGSVEdkeJR6G\n3qtnFPDDvkNUhkJMzAonMyauQT4Ty2XkPxeR6IGK6IAib3Xk5zfxVp+4k2GTiCDGP0I2m3z5bmtR\nh+v1up0BI316d+wGzRyi+2vWsIqi+7b+uKUx1uf60iX2deXbGBQZvVZZG2qMjxjB/qOPolwNG8Z+\nUBBG5LRprHClS8cK8nPP4V9bty5Gv6b67NeP1eiWLTGU33oLIOLmTVbfundHkdf31DSfGsNCgYbF\niwEhrl1zBzJLm9bGfMicGUVs5Up7/JVXuL5RIyikAQGsYlSvDsgweTIKWvbsKA0eD0wTvT5DBhs8\n8623uFfRotyvVy/aQ6Pw6zWhobAM1LXiscdQzJwxQAYNAixwBiNbsQLmxN697vefOZM2SJIEJTwq\nUKHxMh5/3IITGqTSuWLv3EaO5Ns2b3ancS1eHHDFGVj0gw9sZhPnPUqUAORSYKxUKTfzQgTGwcmT\nNoDqp5+643tUrQptWve3baOOu3fHtSQoiPpo0wbXoKFDecfatblO27d5c2vMO+OLlC1rmRciAGKR\nkfxfrhztffSojZExbx6GQPny7JcsSb/t1Il3+eYbvmn8eNyK1q/nG8LDMXQjIxm348ZRj2fPMkYa\nNqRfbt9OPRlDf8iShb/GuH3clVGhbBxjeNfAQMuuUDDz/ffZX7LE0tSVbVG0KDJi/Xp77xYt3Flt\n1AASYSX112qt7A9lyhhnuQcgxn2V2dG5YF+7BnC5YQP9cPBgYgSVLcvYSJUKWd24MfJsyhTky//+\nF3OsisqV3S4CiVEiI+mf/v42HlF05eBBDPPYypUrgIaZM2NUR/dNv/3GM7t18y2eRkQE41gzXcX0\nnnXrIjtmzmS+yZwZOazpnb/8EmOzcmXGfK1aGN579jCnPP44/b5iReSughPGWMC4YkW3e8SUKcyl\nOua+/toG4jUGA1xl0OOPA0jevIkM+P13gN0XXnCDGPXrA3J+9RXyxRjGvs65jz9u/w8Ppx6VabJr\nF3NYeLi7zjWz0ty59vfdu5EXTzwBONqokc2+cv06c3PevG7QQ+u6f3+AlMaNkUW+MnuuXoU1owCy\ns5w7B0Dw9NMsLvj7I9fnzLHZXhJadu5EniVWOX+e7x80CKZM6tQAhC+9hCxQvUrLiy/atouueDy0\n544djIuRIxkj1arR1g8/jG5Urx51NXEiusH//ud+3t9/cxx30ejlsi9CL4WIPCsiK25tz4pIitiu\nuxebNyZG1AwY3lgI7iCN3t0s/q0sDt9YGgl3PYmPq4kvTA5lT7jPsW4i3n67kxlhAQcFLJwxLwoX\n7mGmTZt2K4MJKVX1Xm5g4+PbbierVq264738/MJMihRNTLJk4XcE+1RmxZ0uL977rzdwLTFcRv6/\nuohEN55jYnRFrZPogFLaNXr2TCKCGP8I2ezKPTp3rvF4WPlWloHGCdi5k5UTPbVOHXe8g0aNbPrM\nIUMw2HbsYBXc1i0TsTEopnqtKph6v7/+ctPO//yT1SYFCtSwDQlB2fntNxTIF1/EaM2alRWCKVNQ\nVn74gZWEb77BYPz+exT/sDAUpW+/RUGtXh366Ntvs1+6NO81aJBVDt56y77XmTMYb7rvTLVWvTrv\nqkE7U6QAVNDgj8OG8f7btwOeXLmCMqkxEwoV4loFBjRgXPHi7B89yve+9hqGaaVKKIZOV43DhzH0\n+/ShHtKmBRRRUCJTJgKCrV9vmRROIKBgQXdcCOe2YAHPLF3afb4ar2XL2vZUg1fbX//PmtUdB6JE\nCbpjgQIcmzjRHvP3R7nKkIFnbt1Kmzjfae9e4l+ULUtdqjKcLRtK2smT7sC0YWHuQKf+/iiN69Zh\nUCxdatPj1qpFew4ebM9/6y1+U5ZJ48aWvSBCX7p+nTguItS1MbZNP/6Y6zNmpF+89BJGR6pUAGsZ\nM6J4V6iA8VSzJoZChw6MxVKlMFr79qVNjaGua9YEQDLGBpTbutVmCrp2jXcRsYCjE5D87DN+Uxcf\nLQ0aWMq5An2DBmGoKWD15JOAPHqv3LltwFIFuPbs4f/XX+deR4/adLCuRleH/dvyI3Fkcwxy8b7K\n7OhAjNjKhQv0/RUrAEb79kUe6+qpvz/GVevW9P9Zs6yciOoKkVhlzx7kQceO0bsJaDBZX8upU7CK\nsmYFNIwpMKLHg9yPKZ7GJ59YUC+2ogB1cDCg5f79jMXSpfltwgTLMNBAkH37UgdqMHfo4HYhO36c\nedLfHyOxZ0/kvgbuNYbhEBJimREzZiAnr1yxjKrjx/mWokV5T3UTWbQIeeoEMQoWZP4bPpwxe+EC\ndXP6NPFqcuXCQD12jLlAWZQKSjgzpXz1FXLnlVf4PTiYa5U9KEIfdKZTPXqUvtismXUnu3EDufDo\no1beHjvmW7tELcWKIZuuXWO+HTqUOS9tWgzzCROY7xMzqKaWn3/2DZSLb7l0iTnl5ZeZz1KnBvAe\nOBBgaupUgC1109mwgTlq4EDA4xIlqIeMGcGHVR7MmUP/OXbMN8Bo9276UYcOqt9EL5d9FXwpRaSg\nL+fey81bTAynURWbq0N0Bvb/FxZHdPWTWK4n8XE1iS44ZtQ2iOrKoW4i3n7T+zvZGU7wYtWqVWbT\npk3m0KFDZurUqSY0tNNtECRJkgUmOLiZWbRoUZQsI263k9mzZ3t996RJw7y8F9/jdnmJnkkRNTVr\nQl1GfGFb/NNdROLr9hGTLIhaJ96Apqh93lt9Jaai/I+QzU6LY8MGc/kyRpStD7ey27OnzSt/+jTH\nFi1yG8+1a7uzK1SrZuNKiLD68scf/B8czL0iIozLbtHUixqkMzwc4MQYNwVXjbUmTTBKb9zAIM+X\nD6PrySdRWFOmxKAsXx52RoUKKP5FiljDsHt3vq1nT1b+UqdG2alVi+dHdT+4ccPGtBg50hqGIigL\nxYrZffX71sCYoaHU3xtvALi0aMFzhg5l9Sp1ahRMZT8MHOhmwvzwA6vgadLwnC1bUNZOnbLnZMpk\nmQCjRgFyTJjgdhXJlMmdKq5DB55Vqxar/xo7RASqtP6vYEfq1IAZmuLTCYLUrUs95MhhM3044408\n+SQGdtGiboDs229R9p3f8sUXfP+iRSi77dujhCmTIl06VmhTpWKlMlMmlOTDh91t9vTTsDqyZcNY\neO89FH1/fxT/LFnoD5kyQTn++GObnvb33zESnLhf9uz2/+7dYT9s2WL7hDE2PasCIc8/D9CQOzdK\nv6ZKbdWK+ilUiO/VPpAqFauLhQqxuhoayn3KlqWP58tnSQvPP8+zxo1jX7PJqGFUtKgNYqjHNGCg\nulTpcW37w4fdDKTWrV1eaKZECYxBEQy3detwU3Aq9Hquc19Xgs+fp46NMW5UsGVL4yx3G8TgEfdP\nZscXxIipaPrpbdvsyquCjbqlTInM7tmTfhMWBuCb0OCily9D0c+TxxrDztKrV/wCMe7cCchYpozN\n0hFb8RZPwzkfxWW1X1khw4Yxfrdvhy2VIQPznI4fLeq60K6dd1BY51NjkD3+/tZtxBgYHQUKMF94\nPAAiTz7JsVdeQRZ6PJyzdSt1+uSTvFeZMhbEiIwENL58GQbX+vWAIo8/7k6pev06c4lmH9P4SRo/\nyuNhHgsIwHjW0rat22VOmSFaVq7kPpMnc48TJ3j/rFnREfTZcSkeD3L5yy/dadN1a9OG71QZdzeL\nS47dxaLfvGULY8i5ECACKy93buaYHj3Qd5YsoV9GTY8al3LzJn0/MNDGUjEmZrnsi9BrKiKHROTo\nrf2SIrIqtuvuxRZXgRydgXE3WRxRGQwPMsBxt11P4uJq4guTw8nKcMaqiO43JzujcOEeZvz48WbR\nokWuY35+S4xlaeBC4gQ83GBH19ssDT+/MJ8De+pvsYEGWmcJdRmJL9viQXcRiQ+bIja3D291EFOd\nxAfYSUQmxj9DNjusEc+OnebkSUtv19gQIjbyfOvWdgKbN49jOjHqirPSM8eORRn65BNW//RepUu7\nXQac6e3mzQMM0AVZ9YMdPtymady5056vx7Nnt8/VIJ7p0gEyfPUVBp8xPKtiRYxZNRCffhrF6vXX\nWQkvU4ZrsmZldUJXytu2ReHLlQuFcd8+6z7StCn31+CQ+/a5/f3TpHGvSCv7RA3HVq2o79KloXhX\nrky9FSuGgTFokPZPcxssUOXlgw9slpQ+fVj9TJuW+tDz58/HYG/Rwu0m1LEjSm6WLMTDCAjgec6U\ntZrmtUQJQCdV1qMqjDFtAQG4q5Qqxepo4cL2WKVKABT58lGPBQrwu7rS6DvkykW9NmvGb82aoaCW\nLs0q68CBgFPGWLZDkSIujynz2mso8/3706fUkOrRg7Y7cMAySDReigb3VMPbuZqqvve6f+ECyqwI\n/eb771mVLlSIb1+wwAasbdOGVbVBg1AOS5RA0WzfHr/oIkV4foECAC+rVvF/8uS0txNYaNiQcxUk\nUveWUaPc46RLFxs4VLOdrFjBO770EvsajV/vnSuXm02zcCEsqwIFAGiMoc+KWMbSd9/djhPsqh+N\nlaPgk8dDe/j5oSRfX73BnlyrlnGWe8DEuK8y+26AGM6yZw8yOnduxoq/v3Xhq1ABAOO55xiLxYrR\nDzJnZuW8bVv6x9y5GE+//OL7avbHHyNfhg1zG7UlS9KP4lM8HvqhBs90umf4Ui5c4Ltz56afZs7M\n3DZ3rjtmRXTll194bq5cAA5K0x8zxrqEzZ9/p2tDZCTguTPL18yZbhBl926An4EDbX2NGoUM+e03\nwNoCBZAlly4x923fjrzq0IGxlzcv52bObF0ET51i3rh0iba9fJn555NPbHpzjwfZ06QJ/+/dS9st\nW8Z7eEufagyAfv/+9pucxvKNG4CruXIxr27YgOzOmJH56rvvYq7ryEgAjy1biJMxZAjzsDN4ddSt\naVPAqjx50AeCgphPWrdmjn/zTQCYffvcLjwJKR4Pz0oMwOTSJatfvPEG47RJE9ordWrAsLJlmUec\nqcBF4g4E+VIOH2aerlnTujdpSSiIsUdE0ovIt47fvovtunuxJaZAvjssDjeDITY3FX3ugwJy3C3X\nE19dTZwGY3RMDmVluINlRv3NzZqYNm2aCQ3takRWGpH2RqS1F9BiohdQw/l7mCla9AkzderUO9gd\nd7qveA84GtXlwBn4MyEuIzEZ9P8ktsXdYFP44vYRkyxIjJKIIMY/QzY7LLw/d/xovv/eGh+ffWYn\nRk0PWqeOpYe2acMxVcD0XM0F/8orNmiaZl7In5/969fZ37XLvfhasyaKh3PfmX1j926bBk+Bg99+\nQyHS4GB6rrI4pk2z0dtV0XrnHfYzZ8Yw/+wz3qNJEwCWy5d59ttvY3CtX49i+N57KPma/nTYMJS6\nW9lpbwW6soZikSKsZF24gD+y06h3GqARESiFWbLw/3PPsbqXPTvvVrYsRmeOHCh1x47Z6x96iBV6\nBW9OnACI2bLFxr3ImtW6OjRtaiPaO91BBgywMT5E3EFMo3MrcW4KTFSv7lZoo27OezmzovTsaVPZ\nisAEKFsWRU4Dk+bKhQJbtSrAyssvo9SGhXG8dm3LChHB0F+/HsXv4YfxKW7ShD5apAjAwvbtsEzU\nn9kZuLJmTfeq7bJlGBbqVqLjom1b7q8xJkJCcPUoX57V2pQpYVdkycKqYd68AGyZM9MWGsTzwgVY\nDLly4RKg954/n/6l6XB1ZVuBsVat2NeMybpC6gyq6RzP7dq527d4ccvMyJ2bOnvuOfa1JEnCvqYd\n7t/fBoZUNyt1Hztxgj5njGVdidiMCgpcqn9/xoywWI6FOXJcqj+X0XEtxtxduXhfZfbdAjEOHGDM\nZM3KCvq1a1DutXqPHgU4y5oVuaWGs8eDbN22DdbX8OG4c1SpwrkPPwyro0EDxu3kyYzV7767M9Xj\n6dPMHRUqYBAp4y+hBt/ly8wxmTIx3/iadvXzzy0TyBj667vvMtYyZ4bt1L8/4yeme372GYDPo49a\nYzwiAsCxXj3k/ODBdwY6vXEDAGbWLFgIpUq52Spnz8Jkq1HDAt7DhyNjf/8d4NnfH7eWefMw0M+e\nBWD94w/kzOHD1PHWrVZmPPII31S9Or8XKIDMyZqVxYGPPmL+/esvjOigIMsK+fFHjOjOnd3tu3Ej\n9VW3Lu3brZs99ssvgCMVKgDcaIDoWbPcMRZu3uR9N2yAwfHcc8xT6hIVFISMim4e6tKFNty5E4DF\nWSIieI+tWwG+Ro+GtVG/Pu+dKhX1Vrw4c0PfvgDaS5dyv7gEzw0KskBtTOXGDctwmzOHumnblvYJ\nCGCBIjSU+bhPH+Ts8uWAShcu8D5r19L3KlcGHIqIYJ5MTNaJx2PZQZMnewcuEwpi7Lj11yl098V2\n3b3Y7jaq7CzxYXFEZTDE5KbyoLM4Etv1JLFdTWIL7ulkUwA8LLn1+xojMu42OKFxNTZv3hzFvcQZ\nR8MG+Zw6daqXwJ64l0Rl8Cg4E1NQz/i6jPjiIvIgsi3uB5vCV7ePu1USEcT4Z8hmB9f+mw1/mC+/\nBHE3xh1kcvhwfitXjok9MtIazcZY1xIRu4Ldt6+lC2sWjvTp2f/9dyZGW+9sGoG7dWsMuw0buIce\n1wwZapi3bGn3N2xw+/bralDXrjYVpDIlvv2WfaXBnz9vfXkVxOnTB2O5Vi3AgHXrUEhHjIBl0r8/\nhuayZSiNx4+jFD7zDEqV043l4EH7Xq+84jaUM2VysyMuX7bAzoABKCVp0thUsuvWuTOLdOtm4xeI\nYJQPHowSVK4cSufkyZY9kT49Rm7hwu6AjlWqWHcE3ZT1oAauCO/qdEGJaVPgJmNG+1uHDihp+fNT\nF/r74MFu148ZM2CUOH2sH34YRfTQIe6ZNy9KtIIYIiiEJ07QVz77jH74+usYXFu3su8ET65edYNC\nTpeYsmXpGwcOsF+9Ogr3qlWc5+8P42X8eNogTx5cj9q0wbh49FFYRZrOtH9/2iNNGnzoJ07kG5Im\npQ8ZY91R+vRhf/x4rjPGxqIYPZp9rZvgYIyO5cvtuyszSvuYMyvMggU2i4hTHFSoYI0pHf+quDqv\nNQbjUQMLOtPBXr1KH06RgmPO52iwXA00O2MG+8HBMLC+mPujPVl9zW7LCDHm7srF+yqzE1tnPnoU\n2RcQgLxyGuNffMF4d5avv6Z/Fy5sAw3HVP7+G2B11SriDz3zDEZXoUK0fVAQfa5TJxhQ8+dbV6xu\n3Wy668Qov/xi05++/37sLJEBA+ycFrVERlIXr79uXU9q1qQOv/nmznvfvMnKfkAAK+ZOFsJPP9lA\noI0bI7sjIxlDjz7KOR4PDKrs2WHGnT7N7xERjMEcOSwT8pVXABLOnAF0CQ2FmVGmDHKxSxcYNe3b\nYxwXLsyzRKiXtm15n5EjOWfyZORlp07MnQEBLBJ8/z3tp6zLjz/mmMYBMga517w58kvj+/z5J7Lm\n2DELoIoAoLduzTtrf+nTh/khJATjO1cuu2gxbhxz4Ntvw5yoUoV2KFjQAtrVqgE03Lhh6/vaNUAJ\nX8Esrf8zZ2AqLV/Ouw0YwLeVLk3b6XxVuzaya8QI+vNnnzHO9B2KFkUOKwC4fTttq9msdJFGv7d6\ndcboiBG0z1df0f4x9d/du7lPwYKw6JzjNHfuxAtU+scf6GDFi8fMlkkoiDFXRNqLyD4RyS8i00Xk\n7diuuxfbvQQxYirRrdx6M0BjYiD8k1gcie16El9XE1+DexYt2tMsXrzYBAc3Nn5+S83DDzc2IouM\nSAdTsGDn264lq1atMitXrnRkMAk3wcEdzbx580xwcDtHkM+ltxgZS01wcDuzZMmSWwydcBdTo3Dh\nHkbkYyPSwRQt+kS0BnVcXUbi6yJyr432fyubIiElEUGMB182ezzG4+d3W9MIW3jdhIdbanqFCkxg\nuvpiDArHoUNMpClT2oB8771nFRZlPXTsyERvjNug0qBrISEcc2Yq0Wjlbdsy+RuDwS2ComWMjZex\ncCFKll5bqxYKle47WRyPPcY7q5+/Ui4VPDDGBuHUXO8av0IEo9QYVhPDwzGcq1UDSDl6lBWcuXNZ\nTd+7lxWnbdtQLq9cYcVEg8Bp/IJnnuF9IiLcAUPTpLEgxbBhHNdUnZUro9Qqy2LUKNpJKfs5criz\njnz4IcpkpUpun2EnqDBqFG2RIwf7TjeORo3s/06gJeqm7kFO1oJzq1zZ3Tb6LrlzE6zMee7cue74\njgEBGAkFC9I3GzZ0B9AMDHR/s/qBjx5NSsE8eVAsX3kFkMYYjGc9v3BhNyhz9CiKs+5v20YbpEwJ\nqPHyy7AoAgJ4z0qVbKaQTz/FGBkyBEX4559RgqtVA8i7eNH6jW/ejPKrGVM0Ta+6o4wdy/7mzfSd\nX365k03hbKsiRdzxTlatsv7wGpBv2zb21W9fXUg0rWCDBjb7gLIlzp+3zCkRy/p44w0Aoajje8MG\nS62+ehUZkDcvfTpLFhT0gQMZE5rRpEwZDMd5E8+4O6mj3AMQ477K7MTSmU+fxkBUdoK32Bbr19sY\nQ87i8dBXChXCyN6zJ37voC4An32G4Tp06J3sHxFA0ueeY3yvW8fckhA6vLoOPvJI9K4qHg9yZ98+\n3+558SJzUN++gNSBgYBx8+dbwMEYDOGnnqKPz5njdhHRlKGlSlk56IyFYQzMhCFDkBfjx9t6WLUK\nWTNjBu/+0kuwDc6exQDu1AlwNmdOOy/MmcMc2qgRYI0If198kTl91SrA7D176Cc//8y7TZ8OYJs1\nK/NrRATX5Mxp69OZOnbkyDtdZpyuZ7qlSoXhHhICcNG3L2DB6tUA/Fev8m0//sh3Rg3G+sILXKcu\nKN9/H317PfIIIF1ilsuXqZd162i3F1+07+htvkuVyrp8tGoFQP/228jGn36KXx8/coQxlDUr93K6\nZmmpXDlxvn3NGp7zwguxMzsSCmKkEpHXReRrEdl96/8HLwL+A1p8dVP5p7M4Esv1JK6uJt4Cea5c\nudL4+U00yoqYM2eOOXXqlAkJ6WxgUfQ2SZMuNdOmTTOLFy82uXM3vA1oJE9e/9b/bjeT5MmrmCRJ\n5pscORqYPXv2mNmzZxs/v6W3BMoqExLS3Jw6derW77Rb0qSrzbhx427FULnoAiU0poevLiMPsovI\n/0c2RUJKIoIYD75svnjx9qx7PWkqM24c9Pj27VF806RBEerSxbIz/P1hUbz+OsqK5mVv3RqjpFgx\nDDZjUKBWrkQBUOM2WTLiS2zfbun78+fbyV/dMOrVs24pnTtzTN9BsxsolX/UKJQKY6wB+MQTKAxq\njBYv7mZxlC7tDgdUcwYAACAASURBVNC4caNlcWjsDWfMAQ2qljkz/5+5ZWupG8vIkSjoFSqgwGfM\niLH75JNs7drxd/JklMfffuN7PvkEg1gDRJ4+jTLrVIicgEORIjx7926Akhs3UHDDwlBePR63e46I\n271i61aUcGcq1Xff5Z1ee83+1q4d7+cEKZzBHO/WVq0a4JPzt+Bg2uSFF/jmL76woI4Ixu9rr2FI\nZ8oEIBQQYNO35siBMq5soAoV7gzs98kn/N+7N3UYEoICWq8e1//6K/WxeDExYzZsoB6PH2d1rl8/\nWCORkYBTQUGAGsaY22mLu3dnX4PgavwIJzCxd6+bTeF0QUqblhVJ3V+wANaE7lsZhsHg3G/cmP+V\nEaSuVm++yb6mR2zXzqZNVbbK0aMYDalT41KSPj1K+Pz5llkRHGzH/4AB/BYYSL29/DLyoWBB7rl3\nL2O2a1eMgJs3ASA3bjTmxRdu3v4gT5IkriXJewBi3FeZnVCd+exZ4qtkyoThF1PmkeXLARCiKzdv\nMo6CggB14xpzIrZSqZIN6DtuHMZ/7dr0I12lfvRRYtWMHo1M+/pr3wITRkbCgsqWjXfXzB5avvkG\nOeKri0DUcvQo89TjjyObixUDHN24EcB6zx6+r0wZm7ZZi8djM0ylTcv37d3rPufHH5FlBQsiZ4zB\n8C1WzLpyDBoE6HDiBPU4Zw7G8vDh/D57NjLw6acZZyL8HTWK8avjr1Ur5FCvXvx/8CD1tmAB/ad2\nbeTxH3/w7mFhtE3r1nfGDnEyL0SQF2++yTccPuzd6D57lrbt0QNgKVs29I0PPmCh4403qIdixeiP\nvqiQzzxjg5ImpERE0O+3bGGOfPlldKOKFQGqlG0UdQ7Lly/x4mwYQx0NGMC4Hj78ztSqztKmjV38\niU9xpk7dssW3axIEYhgr/NKJSFpfz78X2z8BxIitPAgsjsQGOBLqerJp0yazefNmn1xNACeaG2cq\n1aJFexriXVj2A64lFnQIDm5mVq5caYKD2xkFNkTCjMh4Q1wM3EzY721EFt/6fZXJkaOBOXTo0B2g\niGYo4fmwL0JDO8U5nWrU2Bj320XkPzZF4pbEVpQfaNmsgSpEzKUM2U2vXigdTz8N+FC7NqsN06bZ\nmA+afrVaNQyhatVQTjJmRBF58kmMF2NQ5L74Aspj1aoE76tSBXBg7Vp8aI2BtunvjwLz9NP89sgj\nAB3qSiFiU6yqwdmvH+cOHGizMbzzDsc+/5x9XWlWW0iDYW7c6GZxaLYI3a9VyxqQQUEYurt2WXcY\n+opNUbnhVjxCdQFo1Ai2QPXq0FAvXsQo/uorVrjffRcl7+RJlM7evW0MgdGj7Xt07uzO0pEundsV\n4tw5C1I0bAiwVKwYgE2KFBjszrSgK1dyTrNmHFu71v3dzoCe8d2cgS+9bc5Ark8+iXL2/vs2HkeR\nIqxkidDf3n/fxmfQbcwYu7oXHk7f2bePfrN+PfWqxoIIz3BmzDl/HgaQAg89emDoly/PfXLnRmnu\n1g2ApEoVDK1Jk2BbBAVRzytX0j4aXO3HHwHt1C0mMhJl+KGH2PfGpnCuThctii+47q9ebTPUaByX\nb7+14KGCdiKwLowBeBGxvvTa5//+G1BBgSENjqh9xxjG3/Tp1hVKUxMvWcJ9U6bkfTdvZjW3USPG\naPLkGEU9e7JabQx/DxxAsZ44EbnQuzcGxowZ1GexYozzxx/nGW3aGHMjRRp3Q90eb2LukXy8LzI7\nvjrzxYsYN5kzU6dRA+95KwsX+pbe9OJF2ByZMmE4nzsXr1e8o9SpY0HqqEVTRG7cyBh84QVkRsmS\njNcMGQAIWrUC3Jw9mznh6FE3++HSJeS/Gn8ax+GVV2xWq4QWzXoyfDir4GnSMK9NmIDczZYNGa6M\njRs36NYFCjA+R40CwK5alf6vbgnKiAkOZg4+coQx2b49LIzDh5GJZcrwfH9/5tlMmWBJaKDkLl1s\nHJ3q1QFSmzSBDTJxIgyLd95hTtm9m3d57z1cRnPlon5v3sSdoGZNmwnL2VbOmFU699av792YvnoV\n2TF4MO+eLh0y5I03iO/h8SDfevSgndu1A3iPC+D0wQfIE1/KX38BOoWFoUP06kX7hYTgupgtG7K/\nc2fc5+bP530+/tiCsG3bItM9HuYlZfsltFy5wv0yZ0YuqzyPqTz/PCye+JSvv3anTvW1JJSJUU5E\nvhORY7e2/4lImdiuuxfbvwHEiKncCxbHvUgZm1DXEwU1omd1hJuQkM63jX5nHIolS5aYkJDmxs9v\n6W03kDx52ps8eep7yURSz8HEaGdy5Ghp8uRpYJImXWqSJ290C8gA0NC0q8HBzVyuJSEhnc2iRYtc\n7Atf06k62Rn32kXkPzbFvSuJyMR48GXzvn23NY+LuYqY+vVRql56idWMsWMxeDdtwnj57TcMxwsX\nUNYWLsQY/uorjKp+/Vh1TpsWA7FwYZSf7t25Z+bMGDFTp3JtmzYolunScZ8OHVAEjUHJO3gQIy40\nlGs1W8iyZShrmoniiScsg6NaNT5p3z4MyNSpb82kxrqLiNh0cc8+izJnjPXdX7IEUEKDXjZubGNn\niKBMOw3xdetsxhR9DycQ8e23KHsaMHTOHOorb16Uza5dCajWqBEKZO7cKC3duwMI/PWXjWcxa5Z1\nERC5033jjTd4Vo4c0H/9/d3xOJwp8ERoI4dHkenRgxW83r3d5yFD7vwtvpuTBRN1mzwZEGnWLAtm\npEiB8p0pE33lzTdpl0mT6D9Vq9qMAyIAFk4wRdu7bl32O3Wif6irSaZMKNGpUrHi9uyzgFbFi3Ne\n48bUtTIPRozgPi+/zP6KFewPH057O2OLKKigW1Q2hTNmhNKM27WzTCMFqQoWZP/YMevG5S3dsMZH\nmTqV/RIl6AdhYRgRmoJ4924MyYoVGbPnzzNOR46kP5cqheHz6acYfq+8ApNq6FBidHzxBUDl998z\nXgcNgqEVFIQR+sgjfFuZMhg2yZPDAKhTBwOndWsMsREjMIRmzeKaa1kcnfTYMRXNdx3EuN8yO646\n85UrFhzq2NGdLSK2MmeODULrSzl5kn4VGIiMSWgGhJAQ5FJci8Yv2LHDpozt2hW5nz07hmf+/Iy5\np5+mfiZPZuxkzkwazyJF6Jd3o5w/jyzo1Qv5rumZRQBjNL7TmjX2mhs3GJvVq2M0Dx8O2GiMO6Xr\nq68yX06bRjusWcM4LFcOsCckhG9u2ZJFhUaNkIuabUmzDDVsyBxWujSAh78/c2qOHAAaymRbsYK5\np18/9qdPt2yKH35wxy+qXdtt+C5YgMzUDCcTJiB706Rh3n7lFeSH9qOrVwGrK1Zkjho1ytZBXMuP\nP1r5eP06++vXW0CsZUu+PUMG2qdECeZhdWtas4a+qfG5tFy+TP2UKcO8MWbMncDCihWW9RbfEhHB\nIkeOHLzroUO+Xztlil3c8bXcvMk4ipo61deSUBBjn4hUdexXuZeBiGJ5t7jXxr+oJAaLI64pYxOD\nxRFf1xPYD5Z1EVva1aJFe7qYFkmTLjXjx4832bLVcQASi4yf30STK1c707lzZ5M1azUjMsKINDUi\nzU2uXK3MiBEjzLvvvmuyZasX5boJJjS0661AoU6WR5NbrILowBV1+bDH77aLyH9sigenJCKI8eDL\n5s8/v62FXC5V2RQsiCE0fjzAwe7dKDu7d2PsrlmDkvXxxygt773HSs/LL7Oy0rkzNN5y5aDRZs3K\nynOWLFwbEoKS0LMnf3v1YtKvWRM2xpw5dmU8MBAFoVMnAJV8+TBily3jvNatMTivX2eiX7qU1Sp/\nf7YTJ1idS5nSxgd0xkFQxkS3bpZK3749xzS6uK7kG+NOE7lxI89zKnAaT0LEnUq1fHmM4XXrrGJ1\n8qQ9Xq0a3/DyyzA1smRBgWreHIWiXTuM0WLFaJeCBe1qXvLkGODO+BHOWBEHD6IQh4SguA8ZQn0O\nGmTPKV4c/9p06WKOeZGYAIa3TcGmYsXss5z1KIJy9umnnBsYiCHiZNM4AZ1vv3W3d0AASvNrr0HN\nrV4dw7lFC8C06tVpm4IFYU1s3YpinTIlf50A2LFj7jgebdrQ53W/WDE3myI83KZU1FW6AwcsKPHT\nT/bchQv57emnGSPG2JgZIgAt588zTowBUChcmBgG2bLZzDZ16tD3jOHbOnZknBgDINSvH2N2+3bO\na9wY0GT8eK6fM4ex/dhjAGzNmwPuBQZiEAQHA1CGhnK8SROU+hdewKicPp3V2PBw+taff/Lc06dp\npxUr7Gp8tWpcN3Ys978RWszdkIksm2OQi/dVZvuqM1+/jkGWPTvtEluKSm9l6lQbzyQuZd8+2jVf\nPgzv+LhkREQANkSNpZAY5epVxlZ4ON/Yvz99298/ZvkTFIRhW65c7Fv58r5vTkPfuUU1kLXs2web\nRlkIX31FHR8/DvMkd27G25df0v7DhiErKlRg/qpf36YTLVwYmaDPTJ6cOTl/fsDH4sU558UXmZum\nTmXMFy3K3DFnDvPRU08BHHk87thNIrjoRe0Dv/5q3dREmH969wbAjLrCf+QIciggAJDj44+9u51E\nVzS17Y4dNoCmM/138uSASbVqIe9Hj2bO2LXLflNsZf9+dJBMmZBza9a4GT/OcuCAjfUV1+LxcO+i\nRQG6o7oi+VLCwpjTfC0//wxwVKuWbwwubyWhIMa3Xn77Jrbr7sX2/x3EiKn4yuKIW8rYxGdxxN31\nxBr+TlcSb2lXiY0xwSjTIk+ehlEADBgV7733nkma9JFbvzc0Ip0MriWTDO4kdY1Ia5MrVwuTJ09D\n4+e32BAzg7SrsD2sa4mf3xKzePHiWwyQsChAEu+/Z88e1/HEcBGJru6jc1/5j01xf0oighgPvmxe\nufL2bH+zQWOTIgWrc5qyLiICBeDnn5m8hw/H0O3dG2NnyhSURE3n2bQpSkinTqwkpEjB76GhKBnl\nyrFfubKNY9G5MytLNWpAM82dm5WTZMlYWc+QAYOnbFmeP2SINbSKFrWRujdtYkW3Tx/AjUuXeI/2\n7W0gzVKleE69etaAVCPtt99skK4rV2w2CgVAnPExNE1ks2ZcawwMDBGAk40b7bm66qP7JUu6M318\n8AErLbqviovWw5YttEHKlND2S5bk+/PlY/WkQwfeIX16gBRn1pOcOd2G/c8/o9RWrAhosmaNdXMQ\nYRU9TRq3Aa4ZaO7G5oyxoakbNQidCG2TIwdtP3WqdQ3SzQnYdOiAYq+pa3/7jWuXLEHZ37gRQ6Zv\nXxT9ixepB71eGTQaKFMj1evxqGwKZfyI0O+2bbMph9VXvFUru7LlDLj5998Y8+p2NXUqY+Xhhy27\n6KWXGCOnTrGqWro0YNmzzwLy+fmh7FevjhFQowb1tGED7zNkCAbIjz9Sj3PnUl+aTlGp6gcPYtS8\n954FErt3R2mfNAlA4p13YFrs32//5sjBmMuaFcNg4EDAsB49APgaNoRmPXkyssQYzj15EgNq1Cje\n9/JlQCllf6VIYYzHWbkO7vo9ADHuq8yOTWeOiGCFO29eDD4NghyfMmYMYGZ8y6ZNyKKKFePOanCm\n371b5dw5prf+/QEV06eHmaAyp08fG3ciqozT8fb449SRBmTcuZN5LL6bxoxo0MC3958yBYO4dGnm\n0ytXmF+KFEEWfPopTIsGDRhrZcowlkuW5Hs1i0fULVkyjoeGInNz5wZELFmS+XLTJu5VqRJy8Px5\ny2DT+nGyaK5f510GD4bVkCGDZSoOHXrnt0VGUheNGgHyPPusTbXsrVy7BvNj7VrAkeees1kz0qSx\nATRbt7buRSLItLgAIlGf+eGHyPmgIOZLX+LCXL+OHI8rU+nrrwHtCxWymV7iUxSUjq14PMh1f3/6\nWWzZfGIqCQUx3hCRWSJSQ0Sqi8hMEZksIqVFpHRs19/N7T8QI/4lOsMzJjeVu83iiCkeRvSuJ4AC\nABZhRmSbSZo07Jb7ho2NkSdPG5MnTxtj418sNtmy1THvvfeeyZy5mgvYEOlzC7hoZUSecAEa/v7V\nzdChQw1BP9cYkfYmOLixOXTokAkObmY0QGhwcOPbLiCaXlVBFz+/MJ9dRKK6mPjCpoha91Gf9R+b\n4v6WRAQxHnzZ7Iyo2bGjCQgAYGjSxK7aZsxoA0s1acLx4GBcGl59FUAjfXrYAdWq4Rv6+uus9CZL\nxuQ/aBBMhLp1WTXJkIEV6dGjUUB++QXlZ88egIH58zHaV63inhpJf80alLcXX8SA796dlaBSpVAC\nQkJYQU+aFGMtfXooqrVrc+/cue1zM2fmuUqXHzWK1erkyZnge/YEHFH3lnr1WK3Kl8/SRfXaa9cs\nZffyZRsv1c+P85zZV5Yvd7M46tRxU45r1LAuFAsXovzqMWP4HhEU7AsXMNqbN2dFrnVrmAYtW3Lt\n0aPulTiNjaBbnjwWGBgyBANajzmBlnu5derEezz6KEa+A2czAQHu9Kfff4+hXrgwhkaVKiiwlStT\nBw0b0pYZMwJqfPGFvfbIETdIUbduzLEpwsOtW86vv1ogQQEUY1B6RRgTxtCH3n7bMidy5cIAnT6d\nFWPta3XrAh7Wrk0f3bkToOr55wG5mjenn8ycidJ57RrfdPo0AMBnnzF+pk6lD0+fjpHWvz9jtGtX\nQIwmTTCCQ0NZvde0wQEB9NF06QDomjenH27ciIExahR958YN6yLSqxf3TpGC1ds5cwCMWrbEAEub\nlhVRzaBijH3uq69an30dR40bY5AVKGDcFb98eaLL5gdVZkenM3s8AJWFC9O3P/vM62lxKsOGISsS\nUiIjkdU5c9LuMRmizvLFF4AfiVkuXwZoGDwYsDxNGsbMmDGMJzVmT55EJnorCl6vWcMYevZZ5iM1\nljNmtLE4FNzYuNH3bBOaxlkZVr6UyEiM94YNGfuDBvG8KVPY79cP2ZE3L9+dLRtGtC+yNlUqxn6D\nBvzVVKvZsjHPOIiaRoTn6Hf+9BPf0aQJcqNcOeb6L7+0df3SSzYFszEwH8aP511Ll0Ym/f23TUe6\nbRvybsQI6yKUIwdyMl8+2vOpp7jHsmXE6okudkOVKvEbJ0eOMBcGBjL/h4W5U7j6UkJC6Ee+lMOH\nAaCyZcOdLr6gi5YTJ6Lv31p8TZ3qa4lJLieV2EuJW39fjfJ7KRExIlLTh3v8Vx6wkjZtWqlQocLt\nfef/W7eOk/3790uRIuMkbdq0rn0RkSJFBsuBAyIFC64WkUg5dGitFC4cLsa0kP37G0tEREM5cEBk\nzZo1rv1du3bJ889/JPv3N5ZChQaKSKT88EMLKVJksKxd+7I0bDhK9u9vLEWKhMvWreVFRGTixBby\n0EMPSWjoGKlXb5gcPHhcChY8KMa0vX3v48cfkoceipRkyRZIZOSTkjTpAjlzpr0cPFhARB6VpEmT\nyLPPHpHnnssqIv4iUl2yZXtPUqf2l27dfheRLCKySUTqiMhUSZ/eI1WrBsjWrQflwoXnRGSFiNwU\nkXRy9mxvGTduquTIkUVOntwvIinl+PFmcuLECZk1q6/Ur/8/iYx8S375Zb3kyrVYjhyJkIiIMBkw\nIIVMmdJWjh3rIZGRDeXYMZE8eZbK8eMiuXMvldDQMbJ16zjZtWuXGNPidlvY+npWRPzkhx+aeamv\nwTJxYvR1f+zYlVvPekgKFw6XRo1eliJFRsmBAyKFC4dL+fLjZOvW8rfaeIqIiKv9o/aPqH3nv3Lf\nyoMvm8+ds/9nyCB584rs3SuSLp3IsGEiHo/IhQsi6dOLhISILF3KsatXRYoVE3n3XZGdO0Vq1hRJ\nlkzk/HmRDBlEChUSWbmS/1evFnnzTZETJ0QyZhQJCODcAwfYDw4WyZmTV8mYUaRkSZEtW7h26VKR\n1q3tsTJlRHbvFsmXTyR7du61YwfP/eEHET8/kfz57bWPPiqSNCnXzp0r0r27yMmTnFOrlsgnn3Bt\n2rQib78tMnu2yKZNIn/+yfUTJoh8/LHIvn1sjz0mkiWLyKRJ1Mu5czxr7lzuefq0SKpUIiNGiAQF\niYSGUrXDh9tq3rFDZNw4kerVRV59lXfs3Fnk/fd5xm+/idSty7mvvMK7aylRQiRHDv5ftkyka1eR\nBg1EFizg/+7dRUqXFrl4USRPHpH+/UX69RMZNUqkXj3qq0QJfk+fXuTMGZHRo7nf2LG8u5YVK0SS\nJxe5cSOR+1wMJTCQenCWzp3t/2fOiISFiaRJIzJ+PPXapQv9Z/Bgvrl7d/rI7Nkis2aJLF9OOwUF\n2XoVod9Vq2b3s2ShPZYvp33HjhVp1EikfXuRRYvos4UKiRQoQJ/Zt4/nHj8usnmzyP/+R18oU0Zk\nyRKRIUPYP3eOMVCjBtc1asT9e/USSZJE5OxZkW3bRD76iPbu00dk+nT6x6FD9NGaNUW2bhXJlIn2\nW7GCe3/6Kf0ud27u3bYt47ZSJfb79+f9Gze2xxcupE+dPy/SqhX9XcfXI4/QP8+d4/uKF2d/+3bG\nf7Jk9tomTaijyEi+/YknRK5ds2OiRAl+v3iR+4pw7blzInXqiLzzDnJEhP033xS5fFmkcmVxd/rz\n5xOxh8VaHiiZbYzIxo0iL79MPU+cKFK/vshDDyX83leuMN4SUpIkYXy2aiXyxhsiFSvS34YNE/H3\nj/66o0dF8uZN2LOvX2fu+fRTtm++ESlVirEyYYJIhQoiDz9853WpUvHt3krKlMhsldvOYgxj9cgR\n3v/IEZGvv2aeOHIE2Z81K3Ilb17+6pY3L7L3zz+5V8OGvn9nkiTI+AYNRH7+WeStt/i2ypWp882b\nRTZs4Nu3bxe5dEkkIsK3e1+5gozfs4f7zZ4t0q0b81ynTva8VauQX1u2iDz7LM/7+2/mlHbt0AO8\ntXeFCsiynTtFJk+mrgIC6MOZM3PfKVOozxQp3HVWuTLvEBzMnJfUF2vYUVRO+VIiI0XWrEEH2LWL\nPv3FFyIFC8btmVoKFUJ2e+tHWs6eZV7+4APk9DvviKROHb/nOUtQEPPkzZvI66hl7VqRHj1EOnYU\nWbzY+xhJ1BIduvEgbCJSX0R+EJEfRWSwl+MJh3j+K3Eud4PF4UsKWWI1rDZFi/a8Iz6G03UkWbLw\nW6wIm6Fkz549JnnyykZksUmevJGZMWOGEaljYFl0MCIjTLp0FY1IdiMy0+BWUtOIVDPp0pU1GTNW\nME62RpYs5U2ePE2NZV60M3v27DEpUjQxIqtMihRNbgX4tKlelR0S9Ruiupz44uYRE5sipown/7Ep\n7n+Ru7zad7e32OSyccpmZ07Nl182rVvb3Z9+sgE8jXEHEOzShd809emsWeznysVq0/795vbKv78/\nNOgZM1i9NYZV3rRpoRSPGsVv6dIRRGz5chgCwcEwNn79lRXop57ivJw5oY4uXMhKTOHCnNe6NQyQ\nH36AUlu5Mqv4b73F6rQyPpTiP3s2K+i5ckF5r1SJ9y5UCJbHE0+wytixI9uYMXz3u++y+vT++7zL\nwYO4K4SHs5r1xx88a/x4VrQ1AFrbtqya+fuzali8OO+/bp1lS2hEeq3n6tX5TWNYjBjBCpQer1nT\nzbSoXNm9cjZrFt8aHAw7pGBBKLyNGsEGcWY5ibrFdCyxt379oj/WoAEr/6lT41ZUrJg7dsfKlaze\ni1C3TtedkBBWnHR/4ULaI3Vq2trpepMjh+1/adLQLy5ehLpcowbPuHYNtsb27bTtzJmwMaZM4T23\nbYN1MGQI/XX0aFaGlQHRtCnfUK0a75I1K/eoWZN+VKAAjIgMGVjlbNGC9zhwAFbHW2/RnjVr8p1t\n2uAec+4c48cYGA2tWlkWSv78tPfLL+NilT49TJdVq2yaXg04+/bbvIMyXozB1StdOp5ljA04evUq\nY1jZKL//DhuqVCnOcwa21RV/Tbl844aNgRIZ6WYbPfWUgUKiP0ya9P9GNjt15q1b6SeFCjFWE0L3\n9lY0C01ilj/+oD9mzkx8k+jiPrz2mnc3g5jKzZu4z4wdy4p8mjTMA4MGwdS7fNm3+2gmncQumlFl\n0ybk7uDBMKyc7nq6Pfss43vdOlwJ4+p6cPky81exYjabRIECbve6uGzp08M8c/5WqhT1OmYM8i9N\nGuTOuHEE6vTm7nD+PIzHJUuYi72l5E6fHhbh+PGwi7791pWAKNFKp07W7TO6cvo0c2rOnMjEefOi\n77NxKc8/T715K3//bZmgffogNxO7ZM9+Z/rby5fRv3LnThwml7PEJJd9EYqZRWSaiHwjIntEZKqI\nZI7tuoRuIpJERH4WkdwikkxE9opIoSjnJG5N/VcSXOIbiyN+KWRxJTl06JDLdSQ4uJ1JkmSBEdlm\n/PyWmFWrVt0K8DneiDxhkiZdaoKCat3eF1lkMmWqaEQKGpH3jEh9A5DR59b2tEmSpLTx8ytnADKa\nGJF3zYgRI26DFKRerX4rwOf223ExnKAG7/mE8fObZIoWfSJBQTNji03hrS3+Kw9GSSxF+X7IZl/k\nsnHK5gEDrHYxaZIrFacGE8uRg1N//NEe09RpjRqxrxNmunQoJNeu2XM7deLYqFEYd8bYbAsiGJMR\nEcYkSYKifuSIPabBFl9/3V6rbg5r19qMHyIYfsePY2BmyICbwY0bKAxZsxIHwRgU4PXreU6WLBhi\nZcrwTV99hfIWFATN8o03MIIzZsRQbNYMI3fBAv5Pk4YYDk2bWvBkwAAU+Xfewd2laVMUto4dAUWa\nNsVYzJWLZ+TOzf0CAzECsmYlNkDTpiipy5fjr1ynDuDO5cu4WiRLBi2fPosy7HSPEHG7h2TPDo3X\neXzECGjdjz5q2/J+bMHB9v/kyTGwMmSgzdu1c5/rjGMhgmKtQVXTpcMgnjWL/caNMX5eeIH9unXZ\nr1AB2nOHDjzDzw8XkE6d8DmvUQPAql8/2vfll7nXmDHcY84c+sTFi9atI29eCwKcPQuQNWQI4JVm\n/ujcGT/tNWtw/yhUCOBp0iTo1AEBtGfPnhiwefLQHzwejKLRoxlbAQH0n5QpATXUtSUiAoM3RQpA\nOWNsjBENc6x6IwAAIABJREFU4qhA5fz53Ff7xIkTvIPWa61anK/uSyNHst+7tzV+nV4fHg9GXN68\nHPv2W3tMg5V27OiOJyNCvURE2HPHjDF3gKta7jaIcTdltq868549AGJ58iTMpz+2oi5Gd6McOoSc\nzpUL2RYVgOnSxaYLjq5ERhLk8o036GcZMmBo9+tHzIC//orfu3k8zDWJVa9//om7ysKFjLWOHZEv\n/v7MDyVLYrQ7sz2NHw9YV7s24yV5cuaBmjUJPjlmDONY41HE9C2ffw5omT69724kMW2hoXxDlizM\nZ337kiHs0iWed/aszQwzfDgys2JFZFLq1Mi1li2RVxoEdMAAZHDr1gBPGTParCDNmxNPZ+ZM3IF+\n+un/2Dvv+JrP9/9fkdhCRGITm5A2qkZrU5satWprKaWlRlstbakt1LdUS9WqWqUtYjeoVatFWyNi\nr9gjogTJOffvj2fu3O+TnCxJ0N/H9Xicxzn3ea/7fY/rvq7XfY3ku284o379GDvO2mzjRuro4UE/\n7N+f8udZaeZM5peVoqKYbwUKMB6S6nr1KFSlimNQ0L17WZc6d04bwCghvpwUA5olIrJNRFpHlzuJ\nyI8iUi8J16aEKovIcaXUWRERFxeXJSLSQkCZn9FTSrFdDWKXjWvKJBGRJLmtxHaB8PFZKqdPdxSb\nramcPesiW7dulaNHW4hIE3FzSyfjxt2Tbt0WyP37b0n69Avk7t2OcupUOhEpJyJ/iZfXdLl8OZew\n5oeLt/dMuXbNVRjSi0Sko4iMEpEi0bXOIXZ7S8mefYmEh38hIv1EZL3MmnVdfHxyy6lTW0RknVy6\n9Kb4+ATKqVNtxGYLlKFDb0tkZFcR8ZaoqK7R9XxNbLYmEhKyVlxcXKRcudVO3zEpbh6x3X5Enrl9\n/I/Rk+DNyePLVntLDw8pEu1O0KwZJsvaPUQEk3VN9evzvXEj34UKYZJ59y6uGenSmXNffdU8ytub\n3+XKmeO+viI3b+Kmki4dLgGa2rXj+9YtY65asaIxp0+fHlPdI0dwoyhcmN9hYSKDB3P81i2RS5cw\na9X18PDgusyZRa5cwdWldWve58AB3A78/DDxX7FCZNAgrtHX1qkj0rs35vDffIN57a1bmM7Pn08d\nFizAxPn2bdwL2rTBxHXAAFwGbt7EPLxWLd7JwwMXg06dMGP991+Rd98V6dNHpHp1rt+6FVeVsDDc\nHnr0oK4ZMtC2Y8bQDmFhuIEMGoSp80cf8bwZM3C/0LRsmcjBg459ERyMm8WOHbgTPQ46dcr8LlOG\nNhXBXeHFFx3PbdcOs2lNlStjCpw5M+4Ps2djKlupEia1ffsypgYPxr3h44/ph6AgzNCPHcOV4dNP\nRWrUYJzfvo3Lh58f5umeniJTpvCsUqXot9dfZ6x7eGCWPWqUyLBh/M6Vi7786ivMu5s1w31Hmzh3\n60afHI2elbNmmfGlFP3+/PMc69SJuZgzJ+boGTNiZj15MserV2feuLtT71dfxa3j0CGOd+yIm8y1\na5Rffx2z7rAw7tu2La45t27hIubnx7X6+dqzw8/PlLUX2quvYhIuYuqoj/lrxwzBFSX2tQ0a4HIW\nFkbb6OcWLSoilz3MxY/XnSQteXaSeHOzZoyj5cvT1tQ7IsLRfSw1qVQp+NOOHSLvv4/LwMSJuPCJ\n4D5gdRMTYdyfOGHcQ377jXFRty5jeOZMXL5SSi4umO1HRDBnEiOlmDsnTjj/2Gy4dJUoweeVV1gb\nSpSgvlbXn3r1WBc++MDxGZGRIufOiZw8aT579sAXT55kHBQvbj7Fipnf1avDr0NDcZ8LCMDV5lEo\ne3b6rnhx5qfdzjsuXIjr3okT/Gd937p1RXr1cv6+IrhCDR1q1n5Nt27xfvodDxxgvT15Etec/Pkd\n31W7mRQvbmSShEi78mm6eVNk3jzaKEMG1tU5c3jn1KYyZUTmzuW3UrhwfPQR/O+nn3CzSUsqWBC3\n2agokXHjWIemTTPy1GOl+NAN/RGRQ07+O5jYdSn9CEx+pqXcWUSmxjonBqlJLCtGYgEln137dF2r\nlFKhoaFq5syZMSlIddBPXEt6KFfXScrPr0ecclBQULRFxE7l5rZUTZkyReH2sVOJLI4OzNlWiUxS\nIm1Vp06dFK4j70R/51QiokRyKBF9bgMlMkx5e9dWVguOuXPnqvTpcVPJmLGZgwuJm9tSh1SqISEh\nDhlKdIYV/Y6x3/lp7ptn9Xj0ayX1LDEeO29OCl9WVt5csaLZgpk7V61fH/NTKcUujw5sSdvwsZbr\n1eP3zZvsbMQ+9/Ztyj16mAwQOmBYu3aUrTu41mt1nviePY3LyoYNHNPR0fWOrt7h1TvHOmBVrVqU\ntcluyZJYTSjFjoh1s3fBAsrr11Pu3p2ytjTx9zcZH3UQyDZtKK9dS1kHMtMpNZcupVytGgHt7HZc\nYESwvrh+nV0TEXYaIyJM9hWlcAsQwUT30iWTKvD0aaxHdAq/ihXZ8frlF9rkwAHOrVkTK5h+/Qi+\nVrUqO2gFC7KzX7gwLg41aph2f5IfnQUkRw6sMF55hTbo3h1Lhjx5CLZWqxZt+9JL7DClS4dpbrVq\n7Az6+mIpUaECljW9e9PWVquP776jjXVWlx07+F+nL9WBOvU4HT7cXPv33/xXoQJuFDYbpt3aKuH6\ndXPu/Pnm+s8+cxyn+nyljFuHUiZQrN4tnzGDXVqlTIBR61wsWpQgcdYxY51POshsRARl7Z71xx+U\nt26lPHmy43N//52y3jmcONGMzYsXTV8pxW6jq6vZeS9ShON61/yzz4z1kLbs0vNp5EjKu3cr/HP0\nC1avbnkPUSpt+Wea8eykysx376rHQq++ikVDWpPdzjwtVoxxeegQY/vUKfjqvHnM64IF2aXu0oX1\nJymZIB6V8uQxa4uu48WLzIHZs+HdbdtilefujlVV5cpk7vjsM+burl1JT9GpaeFCLLOSQzro5e+/\n89wRI2ijqlXha5kyweuaNsVKZeJEkyo8OR9vb9albNlYU6pUwVJt+PBHf1+l6Pfjx5N3zcOHXLNh\nAxYa77+PxYa/vwmwqrORfPwxfHzzZlxZderTyZNpj127GF85crBO7Njx6Jk/kkpXrlDHvXux6vP1\nxY0urZ+r6b33sHZ96SXkswsX0vZ5CfHlpFhi/Ori4vK6iCyNLrcRkQ3Jh0vSju7cuSM1agyJCXIY\nO+ihtZxwQMln1z4N18a91+eWe62WtWs/ERFXcXEpLbh+ikO5cOHCkj791Oggnz9I9eojJGPG4fLg\nQS/JmHGhFC/+muU6kcjISMtoOi9saLwjIl+LyHQRaSgiV0XkL6lTJ7csXbpeiL/1i5w//5xERr4r\nIj7y4EEncXFxkfTpt4rNVkrc3H6QH38cIe3bj5bTpztKu3ZfytKlA6Rp04/k9OmO0rDhZ2KCdY6O\n1Qaxy7HbJOFAn2l17bN6pOza7dsnpCbre+p5swQHx/xcvypSAqJ3Lg4eZOfsww8pT5qEqKMpIMD8\n/usvylOmsGk6YYLjuV9/ze7M7Nl8btwgeKUIuwXjx7M7LsJvK82bx/esWXxu3hS5epX/Pv+c3d6V\nKykfO+Z4r9Wr+WzdSnnyZHYmjh+nviVKsCsiwn3HjWPHSIRdob/+Ms9ftIgdqL//Zle7alUCgIlg\nATBhAjstIpwXEMD9RNhpCggQ+f13dn+6dsVSQ4TgpLNnE5RShN3vr74y7Z43r9l9bN+e+2TPTlCw\n6dPZ8dfB4v78k52W16LjDlerxv02byZI2fjxBKITIZBk//7mfVu14rttW6wz3n2XnZvHRTlysDP6\n8CFWLZ06sfu3eDHHR44kWKAIlhnHj9OvW7ey0zd6NMeaNWO3U7f91KlYV0yZwg5c0aL0nbb8uHqV\nvrtwgZ3HHj34/84d2svVlfLSpTzXusu4fj2f/fux+ggIoK9CQujn4sXNuSEhzCcd4DVLFsfd0vHj\nsaaIiGBntWNHc3z/fvpYj4mSJR3bbuJEvk+fZgdw7FiseHS7ZcrEb5uNd9X07bfUUc/VWrWox/nz\n5r5Xr9IPug1cXc388vIy196+bQLE2mz0Q9WqImfO8N/XX5v6iLATqq994QWsWPScmDVL5N8zEfKK\nrujhw/IY6YnzbN2fmmLvbKdWedUqkXXrREaMoGxVaVO7rBTBHKdPZ1dahF11TdmyYcFQujT1Cwlh\njru4OH7SpUv5fxERWN/lyxen6WPI3d3s/Nety66+UvB2pVhrQkJMObFvm41hrNeiJUvif/ajUHCw\nw1L+SHTtmrHW+vdfeM6ePSmvmwg865NPkg6p6HazfvLnp8+qVjWWMevWwasToqlT+W7ShDGgAz5b\nySqvxC4n99i5c8ZSsDL5D6R1a/io5qVJvf+j1kXLRCIizZuznut5n1bf8VFSQIy3RGSAiCyILqcT\nkbsuLi69BXQkDYxlREQkVEQKW8oFo/9zoBEjRsj58+fln3/ui1JZ5MiRZnGyYljLR4/aRaljYrM5\nz6Dx7Nonf21S7nX0aAuJimoiISHp4pS3bt0qkZFdRMRLoqK6yL59+yQqqquIeInN1lWuXTvtMIbs\ndruIRInIZQHE+EJEom3UpbmIXBeRkSIyLXo3I6OIPCciv0efs1wAPvbK1avV5eHDtiJyWSIj28q+\nfftiMpIcOZJFtm7dGlMODj4rLi6lH6lNgoODn8i1z+qR/GsPHiwsdvteOXjwtgwcODA1eKOmJ8Gb\nk8SXReDNOvVEbRG586+Jap4uHYKeJg06aLp+3SyapUpRvngxugKhKPaabt92vDYszCiHN244Wotf\nu+YYUTu2JXlYGC4rIrh5WF1cbDbH851dq2nJEpF+/Uz53j3HelrNUEUAOTQFBqIsarp71/G4duXQ\ndOMGbaKPXb9ujtWt61jOn9+0owhKpFVICw0VadEC8+yzZ+O6e1j7bPx4MnVs3mzqYaV584hEr81e\nre8Zu8/SmjJndnxmbHNorZSL0M/h4aZ85Qrm2RMnAtK88gouNfv3ozR17mzOvXnTZMQQoZ+169OF\nC47tt2wZbkOarl937Fdrv4nQV5UqARjNnIn7ivV9NPgmQl9YXa5u3waEEAE8q1cPF6M1a6iTdT5Z\n76PL+p0iI5mrOvvCgQOOoMfNm47Cbux73bxpIuRnzsx41W4psZUFax+IGMVH18PazvfvOz7X2p/6\neKFC5r5RNiTjLSKyJSLCaNppT2nJs5PEmzdvHhHz28enthQpUjumnByFJynlqCj4l1Uh0Z/ULl+9\n6vj8Bg2MW2J8imvs/+z2pJ3n7L8jR8j0YyVvb+aHzmilgY506Rx/R0Q4ll1dHcvOvm/fhvf+/rs8\nI2Fdjw0sOfs4A6D05/59+OSdO4xbLQskRLNnG15rVbiTA/4ldOzGDVyfNm2KyxM1lS8fF3xOi7ro\n31YQo0oVI69YAcaUfB85skWCg7fE4SdOKT4TjSf9ERFXMUGKMghBinxjnaOUwlw7scwMSQ0o+eza\nJ39tUu6VkDtJSEiIQ0DNffv2qYwZGyuRAJUxY2M1Z84cZXUnadmypRJpqAjm6RX9O1CJNFSurj7R\nv5USCVStWrVSIiuiyyvU9OnTVYYMnJ8xY7M4GUpMME9TN51VJbFgnQm3yZO59lk9UnZteHi4kjQ2\nWX7SfNnKm9Xzzxs5b84cZbcr5eZmXC8qVeLQ1auUdVYITX5+RCpXiqjlIkRcVwoT1A4d+G2zmcdo\nEjFBP48fp/zrr5S/+YbytWuU33zTmP5v3MixOnUonzxJUDTrfUWM+XuVKpR1IDcRAioqxf1FMGXX\nde7Ykd/WzBXa9FiXbTbaRARTVaUI1iiCi4ZSRN/X99Wm8tu3U9YZNGw27i1CJg2lcD0QwYRWKbJC\n6Of2789/BQtiir1qlQlsWqoUAeF++gmz4KJFMT3WASFHjOC9X3iBCP9VquBqIoL7jNWz6HF+MmRw\nLGsXnwoVcC2pVo0gbL16ka3D25v61q5NQNbq1Y2LRLFimIP/9Rdlb29MaWfM4PrwcMfMJosXm/Y8\nexYXEX2seXOO6Qw11jEuYlySdHYOm83U4803ObZuHQFZlcK9SV97+TL/NWlCHyqFi4aIUm+8QfnE\nCco//EBZB8nT0eytLlYLFzqO+bZtKf/8M+VVq3iWUsxtZ3OxWDF+6yC72iy7TJm451rLjRubd9Du\nWPpaneFGu5NY3WlOnuRYixaU9Vzcs0cZnxYRE6FUqf/vebOIJDnLRkqpXj3Db9OSwsPhPZ6euLtd\nu0aQ5ZUr0/7ZDx7ghle7Ni4kQ4ficlCnDllEUpMiI3ELHD4cM353d1w8pk4l0KndzhqhA0wnlW7f\nJvDksmXwn169cLHTAUGLFGGdzpMnZXw4f37WgHz5cFEpU4b66wCZq1aRJSkiInn1z5tXqWjv60RJ\nu+Ht2YMr36hRBIGtXj1uvfr3V2rKFLKCBQfHrdcvvxCUO7Xpzh1cRwcPJmhr9uzw1i++YN2x2eDD\nRYqQ6WTcONxzBg589GC0yaVOnXDTmjGDZ0+ZkvrZjayUEF9OKnPMKWw119SfpFyX0o+QLipERI6L\nyEdOjse8ZHh4wpkZrOXknPvs2idzrVJxY2Js3LhRBQUFxUm3GrscOybG1KlTFWlU1yiRTmrkyJFK\npKMivWp91aBBAwWA0UiRnSSfEhGVLl1JJdJFkW41UIk0UR4eVaKvXaNEOqj8+esrDXKkT79aTZ06\nVbm6mrI1raqvb/fo38mLifE09s2zejz6takpKD8J3pwYX1ZW3qxzpIoo++w5SiniKGhFSSswWtn7\n6CPloJRUr27SdQ0cyLF33qG8ejUKjlKOgIAGRKzKkI4foP30V66krIGLwYOJE6EUCri+9sED6qJ9\n8u/eNcd0Cr/BgykHBlL29aV87hy+t1qAi4xEUNN11kCKCH63Shml/+efjTLo5YVC+/vv+MHmykXE\n+okTaZOoKHzA8+fn/rt2IYBmzUrGkw8/RCgtU4b6FC8O+NOzJ0JxwYIIJePHA1TMng14tGkTgt2v\nv5KpJDSUeB8NGiCkX7rkmOIuZ07qrcudOzsKsToGgwjxJnSsjcf9seJqInFjdUyZYoCDP/8E9GjR\ngsj8R47QH19+yXUjRgCEjBtn/Kp79kTofP99BM2ICPri+nWe3bcvY0RnqJkyhQj9587RJhUr0lYD\nBzImihXj+k2bTIwIT0+yiCxaZOJpWLOs6HH98sv4aOtUxiL0oVImVoUGNTSAomOstG5tfterZ+aW\nHtMiZARQCmCsUyczL/VxDRKKmJgZN26Y+RQZyTFfX8oabBQxUe71OyhFBhc9p+12c+7evfz33nuE\nu1AKAVuPNeu9f/xR0ej6Ys1QlEpV3hzfJy15dlJk5nz5UHzv31dpSg0booylFT18SFrtvHkZe6dO\nmWOffw64mlZ09iz8P29exteSJY5pTNu04b+U0rlzzOU2beCvzz/PnNu40Xn/6RTMVrLZyAy0dSvp\nu4cNg1dUrgy/yZqVLFUtWwJ0fv01/bZkCfytZk14h46V9KifwoW5T6NGxFBaupR1ePJkpmDjxqw/\nGTMSu6RmTXjTqFHwuT174KHWuA96U8TaFjYb7fbbb2So+egjQNcKFeA7OXLwu21bjul4F+fOJU8R\ntwK3KaEHD9h8GD4ceSdrVt7988/he84yqaxc6QhWXblCelNvb9am5KbUTS69/DLxt5QCUHnpJWSM\n2GlXU4tSBGKISE8ROSgit0TkNxGJEJHNiV33OD5WEOMZ/fcoPDzhYIn+/n2Um5vjjrab2xpVokRX\n5eq6LBoosKYmDVeurpPipDZdvHixIv1quBIZHw1iLFYE5xypvLxqKBEfBYBRXxHcs3L08ZZKB/10\ncXnBcl2Aypv3lWiwpI8SCVTFinVWvr5dFIDJCuXn10utXLlSubmtihbiJsX8tqZQdfaO1rSp8QWQ\nfEb/TUotQfk/wZvfey9Girn68WSllGPgS727o3eWv/yS8rJllK3B4XS6RS8vhJcdO1hMlWJHWgtL\nOmho9eqUjx0zylLu3Cj927ZR1rvYo0ezi6aU2akXQVCx7hzrgKGZM5P7PSqKa3PnNju+9euzQ6x3\nhLNlI2DYTz851rlJE343bYowGR7OPbp2BRyw25XKkoV6deiAAl26NDtl77+PgNa9O0pj5coI8vPn\nE9ht8mSExv37UXh37aKtZ80izd6PP2J1UKUK13z4IYp4cDCCkKsr7aytNdKnRyHVQU9F2EGrXdtR\nUNVWKSIoSvr36NEoNQ0aOBdw0/rj729+Z87MuNLl8uUR3HXZakkhYoJYimChMWoUv19+GQHzxRcJ\nOJsxI5v69+/zvX07/TlmDO350UeUf/2VPhg3jj4bMYJgrW3aMGYaNqQ+uXKx05YzJ4Fhu3QhXXCZ\nMihOK1ZwXu/e7MR6edGn9eqh7CvFuYcPo9jXrs098+TBSuHXX1EWChdmrH30Ec/q25dr69ZlN/ns\nWcaQCMKxFaSoWZNzNRCjFO+kj+udeH39w4eOlk2//cb/2qJq0iRz7a5d/OfrS7BGa5pUpfhPl3WK\nVZ1iVilAGBEUNKUMaDNhgnqSKVafKM8WEbV/P2PaxwfAMq1SrDZtaixoUpN0IM8SJeAnztJXBgUB\nMqYm2WysM82bM0/efZcx6Ix692ZuJpfu3eMZAwYw7r28mBvz5gFgxkf378O79XLbvz/t7+uLdUHe\nvPCkLl0Y+vPnA4pfvmxAgYsXeU6HDjy3dGnStnbrhtLv6WnA3eR+MmYEPKhfn3d76y3GX8GCBOT+\n8UfATaWY52fOACx8950BITSfzZ4da782bQA+RHjP0qUBfDNlAnyvXp31MSEQJCW0YYMJOp4cstkI\nNjxpEvV3d6d9P/iA9SUpllLjxxuQ20oHDwJulCzJ+pBWgT7z5HEM5hkZyRrv7Q0vTu3nJsSXLV6T\n8dJ7IlJJRM4qpeqIyAsi8lhzUj2j/y7duXNHdu3aJXeiHV51+eLFi1KjxhCpWfOW1KgxJE55z549\nltgCjnFOzp5tJ0WLLhI3t5/Ex2eW1KpVS8qU+UVE+ojNVlKGDl0dHROjtkRG1pSsWbOKr+9yEekh\nIi6ycOEJKVRoroiEi0iIXL/eVzw9C4hIgIiUEhFfEWkmIjdF5J6IvCzp0m2WXr0qi8gqYbNjo3z4\nYVNxdf1eRGpJhgwBMmZMUzl+vL2ITBdX1xMydmwzGTYsUKKilojISilV6pCUKrVS3NxWS+nSK0Up\nFe87HjnSTPbu3RvTJlWrDpSqVd+PaZ87d+7E27Z3EotE9Iz+f6GnnzdbcpWd/ZtAENY0iPo7KAhx\nR5++fr25XJ9zLDoW7/XrBGWz3kcH7XN3NykZPT1FcucmtoWbG8eyZsWH2MODtJh79nA/63P+/JNU\nkLVrE3DT1ZVrw8MJWNmoEf713t74JHt4iDRsSFC1S5cot29PAMHISMqdOhF8UNf53j2R7ds5z9OT\n2BWzZ3O8Zk18pIOCuLZzZ/xhQ0OJITB8OKnb7t6lPHMmKfdy5iS+wIYNxKrImZNgiM2aEaD06lUC\nHI4cybFffsFnvVMnAl/evMl7vvkmcSGuXydwYsWKvIe3t8h775mu9fEx6W1FCDr5/PMiX37J/6tW\niXTvTvDQTz6hXlu2mPPTJUX6SCVq0sT8johgrIkQoPPff3nfTJkIPtmggYm9sGMHcUQ0TZhAHAwR\ngqvp9LNhYcSl+PBD/Klv3aLvJkwgnaXNRoyQmTPxZc+Zk+Cc69eL7NtHrI19+wjeeusWwSgrVyZ1\nbng4aVwDA4lTkjOnSIcOjM1btyiPG0cMFt2fW7fyXjdv0rdTp9IXnp6MVZ2y9+WX6dtTpyi3bGn6\nSN97/nyRpk0JFpohg8gPP1CuVo06R0WZc+/dI9htpUoE9dy/n3s9eECQ2aNHzbkijMG8ec28X7nS\nxA7Qc1qf/+eflHVq1nXrTL8cP853WBjn2mzMHxETW0THrDl9WhyD0ujKPB564jz7hReIhbJwIX1b\nrhzjLLXTHbu5mRhIqUVbtuCDP24c83DDBt4nNlWuzNizxph5VLp+naC6JUsSqLhZM4IrfvWVYypv\nK1kDIidEShGQ84sv4CW5c5PGOlcu+ubKFeZ5t27wpz//pK/GjiVIcO3arEXZs8Nzf/yR+xYqJNKz\nJ+Xr11mXfv+dew4fTgrlF19kvRgyhPWhbFl4dp06jI+OHZmPp08TlypzZur1KOTuzrt5eRF4de9e\nUk6vWsWz589nPX7pJYITX7hAwOSePenrpUt591u3qM+335ISPCSE+wcH8/vUKfhU8eIEWS5cGL6T\nLx/rU44ciQeKTCplyADvTIyUIkjot98SGDtPHr5PnGCtPX0aPhoQAG/WMYMSoqNHSVcem/z84ItT\np7Lu1K1reHBq0b178FJr4Fo3N563bh1BsF9/3TGOV1pSUsSI+0qp+yIiLi4uGZVSR0WkdNpW6xn9\nVyghRVpnjXEGVNSq9bEcOlQ3XgXexcVFypVbLenTr5WyZVdL06ZNpUyZX8TV9QspXXq5rFkzXooU\nWSVnzvSQdu2+lDFjmoub2+si0lzOn39dfHzmC6BGKRk6dLV89llDEUkvIsUkJOSydO1aSUReFJGW\nIrJNbt58S7JndxGRnSISLCI7hLi3z0v27D9J3rwl5dtvj4tIpIicE5GsEhCwTh4+7CIiPmK395es\nWbOKm9u3IrJF0qffKkopOXr0NQHUOCkTJrwm6dIpUeqYiNikcOHCUqTIj5I+/ZqYd7S+sxXkCA72\nlaNHX3UKcDgDgWKDHM8Ajv8v6ennzRYQ4+oxZHWtyIeFEYzL1RUl59gxTi9ZEuFUKc4NC0MYPn2a\nY5UrI2R5eBjFJDgYpapqVRT++/e5tnZtQAxdlVdeIVe8hwcCbsOGHNd1un6dxbdSJYLCrV2LMqhB\njp07UeBu3UIpnDePY1FRCFXff8+9ChZEiFq9muN16lDHS5e4dvNmgkMWLco7fPABwTSzZUPJ/fhj\nBFWeDi0hAAAgAElEQVQPDxSy998nA8atWwgPvXtTPnQIRbt9e54bEGBAiUyZyI4yZAgCqFIIoe7u\nJktLZCTC77BhBK588UWCiGlq1swEDPvlF+qtBdlWrRBCR47k/v/8gwA2YAD/BwXxfGvQVrsdpVX/\nflyks4l0707fvvyy+f/kSTKp3L9P/61YQftXqICit2EDff722wQpLVDA3LdNG+6padQo2is4GCBM\nZ2cRIWDqrVu0R/bs9FHv3rTV+vUInpkzG6X97bfpzyxZ6PM6dRCEc+bkuevXk+kjLAyAo18/fmtl\nQAMV27YhOJcuzbWNGnGtfs4rrzBnbt1C6A0NBfDSQMy8efS1hwdjc/165kaRIigJhw7xXA8P5mWl\nSgj4desS+DMykvldvTpBRTXQoBRtXbs25evXyc5ToQLzWGdD0PdeuxZATWMO69bRxsWKGRBD13n/\nftrN3R1l8v597pMpU3RGE2sUXguPegz01PDsatWY69OmkR2qQgX4lQb4UkqurqkHYvzzD0Dkm2+K\nDByIQluvXvznZ89Odqi//nq05ykFr+/ShfscPgyYsG+fyFtvwacToly54gbm1XTzJkp5jx6ADc2a\nMX579xbZvRseki8f/LZDBzPmfXx49rJlDN/KlQGHt20D0D5+nPUlf36U5JYtmR9aKVYKRX/qVPiZ\ntzd8P3NmAKFr1wgWvGUL6+LFi2TcSp+ebGL+/sxlnY0oqZQjB89+/nnA1SpV6MPly+EjFy4wBq9d\nY817+JBsF97eZN349luThUgEILZSJda8Tz8FbNE2H5GRzP1Ro0zQ5N9+47zq1WmLYsXgeT17onAv\nXEhfX7yYvDUpQ4b4QbLLl7nvm2/CJ2vWZJ1u0oT6HTtGm7dp82jAUHCwcxBDU6NGjP3XX+eZ3bub\n4N8ppdOneSdnmxAvvsgcyZ+f/t7wGPIuJQXEuODi4uIhIitEJMjFxWWliJxN22o9o6eJ0tKawgpS\nWBX4ypUry/btE2TduowyaVJ0Tr+YNKqucu7cOTlzpr1ERTWVI0eaSdasWaVMmRUxIMf//d9b0aBG\nHQkOLiXnz58XMo5sFpE3ZfbsvVKixH4RmSm4py6V8PDyIvKh5MhxR1q1yirt2rmIt3eIhIf7yMWL\n1UWkj4hkFxGb5MlzUy5fflNEtorINSlcOFCUUhIZ2VlEvCUqqqu4uLhEgxTbxM/vhGTOnFmOHn1N\nbLZBcvRoI2nadIycPv2q+PjMlrVrPxF3d3eZNOk1Wbcuo2zfPkGqVKkS0ya+vsFSpswqpwDHMyuO\n/1l6+nmzZZfz33O3xG43gMHp0wgUOXMiqAUF8Tt3bgTg4GADHpw+jWCXLx8K6Nq1cS0xqlblOn9/\nYyHxwgsIoJcvc37duoAYOXIgCLZti0CpAZF9+1iIPT3ZXahWDQVRP2vXLoSCW7cQMNesYTG/dQuh\naNYsc+8+fURmzODe9+4hgC5axLE1axBe9ftVqgSg8euvHH/9dXbdjxyh3LcvgvvDhyhkH37IrtOJ\nE5ybNavJMNG8OYKoTl83erRJxbZ/P0Kfzijy5psoy5ouXzZZL7p0QVDcvh2h79AhhN4ePQA+evWi\nLr17Y92QJw+Ct5Xy5AEcSZeO70aN4maiSWvq2NH8XrECq4dhw1BO3n7bUWkrV45d1pkzaatr11Cg\nvLxQ7CtXpk2qVqVNdu6kXzWtWWMsCHbvdrRU+ecflId+/QBDatVyVLI8PWmb69cZb02aMAc0S+7e\nnZ1RT08E3xo1jHXH22+bMerhgQKzaBFj+JtvUBo0aFG/PuPjyhUzJzZvZpx5eSHsb9vG+YcPo7SU\nKMF9f/4Z5SBdOspVqjDO9L0XL2ZehIWZXUANQpQvz/vqOu7bx73z5+fa1atRTCMiaN8jRxhfdjtj\ne+1a5r6HB22ydy+Kd+XKcS0xgoKYU7lyAbScOcOx8uWjFaInZ4nxVPFsFxfGw969JGj56CMDbqSU\n3NwAYFNC584x7uvXh3cEBzO+kmLFVbUq8zM5dOcOPLt8eawfypcH5Pz+e8Z6UnfxrZYYUVHUY/hw\n7pcrFzxk2zZAhrJlmY+dOvGen37KsUyZ4OXTpqH03r4NKPjTT4CbvXszX4oWpa01lS1reNDt2/Dk\n3r0575VXAAq7dWMe7N5Nn4eE8H5durAWHzjAnHv3XeZxiRIowRq4tGYzSojc3VkP/f3huy1bsr4P\nHgwf2b4d4OHFF2kTpQCWDxygr1u1QvmvUgUQtl8/+ITOPvTPP8YyS4R28PEBGH3jDaw65s/nOefP\nY9W2YQPvXLky4M/q1SKDBiErZM1Kpo1GjVi/AwIAjf74wzFjmogjiHH7Nry5f3/WEF9f+qlCBUDf\n0FAs2Lp3N1mSHpWUShzE0G3RuzdjJ18+2mnEiKRlXEmItNwWH2XOzIbM99+zNr77rslmlRaUaIpV\npVR0hncZ4eLi8puI5BCR9WlXpWf0uOnOnTty6NAh8fPzE3d3d4eyiEiNGkPk8OFmUq7cEFm79hNp\n0mS0HD7cTIoUmSGnT78abxpVbU1x5IhEAxWfSLlyo6PLa2Tt2mly7tw5KVdugri7u8v27RNk7969\notRrMXUbPPjn6Gd9HP2sZhISki7m3ocP3xMfn0VSqNB4MSDHMalYsaKUKfOZHDq0RGy2djJv3irx\n8dkiZ892FZGtcvlyD8mff67MndtRPvhghly/3lpEiorIerl9u4gsXy6C22r9mP8J9v2q5M07S9zc\nMgiuJa1E5GsZO/YNGTYsUGy2+yLSVkqWXCNDh2aQ06dflaJFZ8vatdNERKRIkY/l7FklPj6L5MyZ\nHmKzNZWzZ7NIcHBwzLuWK7datm9H65g06TVxcXGRypX/T0REDh8+LOXKTRARkXLlhsTTtqtFqdfi\nTQO6d+9ey7Mc+1SXz54963Q8uLu7p+VQfEbJoP8Eb7bscnqlD5O//zbK1qlTLIYRESgcQUHsWISF\nsRO0fj3nnj7NQqxNWl98EdeLqCgW9IgIhLYPPkDgee01BIr8+Vk8GzUCiPDwYDF3d+f8Bw8QGnv2\nRFG6dQthpWJFA0Ros30PD45lzkyd06fnd716BnioXNlYJPj7Y5EwcCA7SrduIVA89xzPXbYMwUqb\n4otQ/2bNKLu5YUHRpw/lrFkBLgYNQhizppf86y/eUe96vPGGo5BRvTqCRLVqKPEtWqBcr17N7+vX\nqWN4OALlF1+IfPYZQtjMmbR3p05Yg0RGsivn7c29s2VzTO0WFYXQvHIlwmCpUoAsdjvvJ4Iwqs2A\nRUQyZoyb8jQ1adEivsuUcTTxPnGCvtuzh3565x3G2iefmHPWr0eR2L6d8pYtgAcjRgDqVKrEPfLm\npS2/+QaBu149xsCwYeZe77xDO/r4oJwNH87z1q7l+MCBtG1EBEpD3brm2jVrTJ/qd+jYkf/1tSIG\nTGjenOeJ8KzXXjNgnZcXfbB6Nf/XrctY8/Ex1kubNqEo/Pwz4+n2ba794QcUiUOHOPe551CEbt0C\nQNy0CVenTz/FGiQ0lOd7eNAeX3yB8J0zJzuxrVoBFJUty5hp1QolpmpV6qsBkKtXASp69kTR/O03\n5ltkJN967GuAJCgIJenCBcaqdpfx90e4VrnDJEYffYyWGE8rz3ZxQcF89VXSQ/fsyXgbM8YAoMml\nlLiT3LzJOJgzBwD3+HGsK5JDVati5TRgQOLnHjrEzvjixYCLkyah8CfX5U0p6j5hAormwoXxn3vv\nHnOseHHmStGiWA9ZFWWlGMPnzzv+F9/vqCiRjRv5VK3KWlStGuvpe+8x9zQQc/YsSvqcOfCx0aNZ\nD+fPByxs1ow1oHdv7qUtqsLD4fkacHVmvZAxIyBM0aJ8X7sm0rgx67jdzjo0Zgyg/9SpWPMtWAAI\nIMJ61aULrpSdO3PNP/8wzydPNhYq2vUtWzb6ylnbxP62/s6bl0+VKqZPzpyBX/z6K/w5Mcsk3Z41\na/KO8+YBXug076lNly7Rvkm14MienbnUuzeWgaVL09dduz6aS+epU/RrYvTKK/RZv34ARD/88Oi8\nJCFKEMRwcXFxFZHDSqkyIiJKqa2pX4Vn9DgoPqDCx8cnjgJrLU+a9JoDMOFoTaGkaNHZcvZsFqeK\ndOXKE2T79soxircGKqxld3d3B8DEqlxbn62fdeaMiI/PIvH1nSZr134itWp9LGfO9IixarDZmsnR\no/dlzZo1MmZMc2ndOp1ERdWSkJDjsnBhPRk8+HsJDe0mIlvl4sV3ZNSoxTJx4tvSq9diiYxUAmih\nZ7aPWMGLggW/k6iouXL1ah2x24uLyEYROS3FinlGW1m0FJFa4ur6nbzxRlkZOtRXbLZmDiCFBjV+\n/PETad9+ipw9C6BjBR3iAg2rZe1aXwdgQUTitKW1LGJAjtKlg0XkmISEpIsDcMTu08OH70W3aXun\n42H7du4dH+j1DOR4PPSf4c0WBaGwe5is2GRAjIgIBOWLF1n0v/wSYSQsDKV8xgyElVu3UHpLl0aA\nstkQOjZv5l5HjyIwlyzJtS1aIIhqa4VWrYybR1gYJqqxXUq2bOHYn3+iHF67hvDYogXKoL8/ymbV\nqryLfofu3REG8uRBmOnZE6HZxwfhrVs3BOKwMNwQXnkFwfDuXZRqHedCBAFIBD/mDz9k10sEhbRD\nB3bFRWiHcuUQTsLDuX7YMBSQ/v2ptwYmRFB0e/dm9+nvv81Oe61a7IavX0+dFywQ+e47lOSPP8Yk\n97PPaOd//jGCtBUg+fdflFEPD9pp2DDeV++AenggOP/zD+X16wEANFmtadKCmjc3MVKOHgVQqVYN\nwUqEPtMCrDYfDwzEQidzZhT9f/4xIEabNsZMPF06QKXmzRH+BwygTaOi8E1u04Y+aNGCMbtwISBG\nxoxc7+mJ8tKzJ0DCpk0GAPv0U8azrvtXX7EjLIIbRa1ajDlNJ08ibGsQI3t2Aw7178/8sMaiaNSI\n/u3Rg7GaPTtj38ODe0+eTNsEBqKQ/fknY+3SJaxJduzAZapKFdyavLwwFa9d21g1eXkBcvz2G8/V\nlhgNG3LO8uUoUAEB1HXzZpSaIUPgB1euMD88PBg39eoxbzw8aIPGjbl3yZK0740bPDdDBur73nvU\nqXhx+EBYGHV2dxeJunZL0uvGe0yWGP8Fnu3qyhht1w5roddeQ1kcNYq+TO69kgtiREQw1idOhE8f\nOuToe58cevll+Fh89OAB68D06cyft95i/hUsmPB9Hz4EADh1Ku7nxAljJWClrFkZh4UKOVpNuLgA\nEO7fj/WB9f/Yv539J8IzrddqGj4cwNVqNaEUAMe0afC0bt3geyVKYI2jrRlXreJ92rTBxePXX3mm\nlxf3272b9St7dtrj3DnunzkzfC1nTuaZno+NGjFnW7ZkrnbsCJB/5QpWZP7+8JzevZnTX30FmNy1\nK+tKiRLwj/Ll4Q9371JHDWK8+y7f6dPDi318nLddQu2qv7NkYaw/91zcY7dv0/dnztDuIvAub2/a\n5Px5+FjJktRZfxctavh+SikpVhjOqEgRAP3du1m3pk4FVNZuN0klvfmUFNLA97JlyCd9+iAjpE+f\n+LVJpvgifuqPiKwUkcKJnfckPqLDVD+jNMj04ZhBI316x2ut5YTSSSZU19jZOIKCghJ8dkhIiCpR\noqtyc1vt5PzVqkSJVsrNbZnKlOlV5ea2Wvn59bJkC1msihVrofbt26cKFGisSIsarkQ6KVfXH1Wh\nQg1U165dVf78LZRIcyXSVpFKdY7Km/dlNX36dJU/f8M41xUrRvYTX9/uSmcl8fXt7lDWaV91Xd3c\nlsW0e4kSrWJSyFrf1dn58WUtSaidnaUBjf0sa5/ShqsTHQ/xZVQJDQ2Ndxw+I0hSKQL+f4I3//23\ndldVYYXKqUaNSA06aBCRz7/6iojl69aRQWL9ejJyhIWR1WPxYjJJ9O7NuTqF4uTJRDgvXVqpadOI\nRH/hAlHJlSIrw7vvkubz9m0igLdqRYq5/ftJQVq8OFkdli4ldV3u3GRrOHlSqQULyPKhlFLt2/MK\n6dKRhUEpMlj8849jukmlTCpXnfXk2DHK48dT1tkYKlUi57vOxtKnD1HF9b3y5zfZVUSU+uEHxwws\nOgWtjhZ/5AiZIzJnJg3sggW8X9GipD4bMID3bNFCqenTeafPPqONPDxIl6qzSkybRlk/K18+81uE\niPGRkWS6GD+edKwVKnDsk09MxHhdb51NxXqPokUdy/qTIYPz/x/l4+PjWM6c2fzOlYto/QsWOJ7T\nowfZB1q3Jnp8u3YmG2fDhqSQ0+fmyEF0fV2+fZuMALrcsiXjo0gRpfbt4/wTJxjfAwaQkWT3biLq\nZ8tGZoI5c7j2ww/p3yFDKJ8+TbliRaL1b9rE+NfPsqa6LVOGsa7LS5Ywzj/5hGuVIjOBSHS6UUUf\niZCqT2fyEWHuKUU/ipgUxd27m8wWWbOSqSd/fubrgwdks7HbSfvXuDFZJOx25ljXroy1fPmI1F+7\nNpH2dSrUjBlpi+eeYyxWqUI/zJnDO4wYQd8eOmTSr1aoQDYYV1el1qwha8qyZWRr0amI+/aFh1Sq\npNT9PIXMS+rGTUXenABffKI8O7ky87178NrcuclacexY0q994w3GSFIoKor+LVSIsRscnKxqOiU9\n3mKnfTx9mnmQOzcZeH76yTGNpd1OKuHdu8lqMXo02bNq1yaTT4YMzNl69Zg348fDW7/4grletSrz\nK0sWMk6lNl29yjzr0YP6WPlzgwb0kYcHmUc0hYczl8qUgV9/+63JgnH5Mn2VLx/ZSR48YL4ULUrq\n4vbtmcNff61U2bK0RZcuPOOVV2iX3LkN76lZkz4sUUKpatXgc3nykH67bFmlRo4kc4a3N2tRRAQZ\nRHLlIs3ovXvU68wZ+KCXF9l01q1zTIE6bx68+uBB5AARzvX2JjtH375KLV9uUjWnNn3zDem0NT18\nSNuvXcua0a8f7VaiBDytSBHGTJ8+jJXAQNbt5KY6/uorxl1KyG6H9xcpgkwQEpL0a5s3V+qXX5L/\nzNBQ1tCKFZM/vxPiy0lhettE5I6IbBKRQP1J7LrH8flfAzHiAyqcKZIJgQOOiinKf3wgRWwFWD83\nMaAivnpbAZXYAEps0EKfv3HjRhUUFBQvyIGS30qFhIREv9tqpdOtBgQEKFfXH5VOg1qiRNcYMMTV\ndaIyKVM7KpHFKmPGpsrFZa7Km/dl9X//938qf/42ytV1qcqQoZoSWaJMOtUOKjAwUPn59VKurpOU\nTuHq6vqFCggIiE6lSjkwMFAFBQUpP79eToEC3ZZBQUFq48aNcYCG2OfHBhIeJf1qfH3qDKSKD1yJ\nPZZigy2JpYx1Nqb/FygVQYynnzefPRsjYdnyFVDu7iz+b77JgrZmDQrKokUousOHo4g8eIAS//HH\nfNeuTbrG4cNRvo8eBXCoUkWpjh1Rru7eJb2aUgg/zz9vUk02boyQNnkyC3jRojxnzx6EuYwZqaan\nJ8fXrDF52FeuNELiH3/wX7VqJk96375KWZeinDkpnz1rQAsRQJFKlUzZz88o/AUKkI5QK9VmrACY\nKIXiqq9t25Z6vvkmQkG5crx/hQpK7dyJkvj11wjSZ84oVaoUCnHBgrRnYKB5r9atuVbfu1gx8w4i\nKN4ahKhTh3rXrYsCGRCAUG1NrTpnDs+oUQNhUgRhSR+fONExDeejfrJkif9YnTrmt4sL36NGMda0\nsOvurmLAiBo1eMfRo811M2ZwzNMTAdzLS6njxw24tGaNUn/+ac7PmtWxDnfvAmq5uyN8d+zI86tU\noY/8/Oijnj15/tq1Sr3zDkJlxYr0eb16vOcPP1DOnx8l7N496iNiMoTu3s2Y3rcPBV7Xo359AC1d\nrlULIEGXd+0yQI1W5ry9KWthVafL3bGDcosW5ljNmuZe//6LUuTtzbGZM5lb7dpRrl8fxatAAYR5\npQAvK1RgbkZEcL5SKE8dO6Io5cxJCsh33wUYKViQ8e/rSwrZ9u25PlcuFLBRo3h2jx70XfPm3OuH\nH5g7DzNlM5W2aDmPAcR4ojz7UWXm8HCjaL71VlxgwBm99RbKckJkt5Oy18+PebVz5yNVL15q2RIQ\nLyoK/tqkCe/Qpw/8b+1alPtBgzj3+ecBFD09mYPt2gF4zJyp1MaNSp06FTcl7cmT8FAfH56l00u+\n9BL8P6V07x7pPD/4gHTQ2bMDLk6dCkhUsSI8Zfduc023bsyH4GDmTM6cpCTdssXU7+FDzvHyUmrw\nYEDYS5fgRY0bw9c7dgQY2bOH8zQfHDmSd86blzVI8//GjQE4GzYEhBw/nnMWLwagOngQoGPsWBR+\nPz/qeu8e62XbtrTjzz+bet67R2pwf3/WkylTqGu9egaEtdsBRooVY83/6SfWmQYN6M+XXgJM2bbN\nEbBKCfXvD9CdFHr4kLVj3Tr6rX9/2qpkSfidjw/v8/bbABwrV8LXIiLi3qtvXzZyUoMiIkg5nSsX\ndbp+PfFr/PxIEfsoZLcj/+XKBRhjBaUSopSCGLWcfRK77nF8/n8EMWIr/E+rNUVy3iF+QMURQIkN\nWsS+3s+vl/Lz6+FwfmhoqIN1RmhoqPLz66GwglipypbtqYoVa6awoFDKzW2pmjlzpgoNDVUbN25U\nxYq1UCIBSmSNEtlpASqWKDe3qtHXOf5fsGBjFRoaGv0ugBUinZSb2yrl59cjjlWGn1+v6Pr3UBs3\nbowXKIhtzaD7JTEgwZl1REqAgYRAq2dWHCmnVAQxnn7efPu2smp5L77ILnSrVizgR44AQHzzDYJa\ntWoscFevIjTXrcuimT8/yviXX7LY2u0ILPnzoyBPmcJ/6dOzMO/YwSOrVaMa335L+dNPKWulfP16\nym3bUq5enfLvvyP4KAWgol9BC0BNmiBAHjiAEimCkNiwoTm3QAEEQl2ePRshXZf1jpNWpm/c4B08\nPVHYbtzg//z5OW/sWATDKlVokzlzEMB79gQU6NEDxWHqVATNs2d5hy1bEBj1bpkIbWS1Qshm0el2\n7ULgEqGPbDbeZcYMnh8ZiQBivdYKSuzdy7OOHDH/ff01wvegQZRz5UKxbNbMnKN309L6U6UKCov1\nv02bALbWrzf/1a9vfh87hhLRvj0KwYQJAAG6nUqXBrQYO9Zc4+Fhfp84AeghghBqswGq1ajB2B83\njp27l14CrMuWDWubnDkB8nr3RsHImZMxMmiQub8G6jQgohQKm362VgZ0eeNGlDJdtgJrvr4AFLq8\nYgWAYd26jveqVcsoaB984FiPo0cZN0oB+okYCw59rohSQUH8p61ZTp5k3OfJw/+ff87cLlAAkEMp\nxln58oxzpVCQQkOZgx07Atb4+aHQBQSgnB04wH9NmtAuHw025lN2FxcHSfoxgBhPlGenVGa+cQOl\nPmdO+PiVK/Gf+/bbjMn4aPduADBfX5Q2PbZSg+x2xpK2VLN+cuXCmqJ4ceZ4797M559+wkrv1q2k\nPSMsjPGcK5dSY8YYfq6pXz/GYHIpKop5M24c8y5bNtaxESNY1x4+VOr8ecZ7gQIAc1ZlMDKStVGE\ndeCTTzjfShs3YhVRvz58WiksmQoU4DkPH2LFWK8ea3GpUkrNn4/i/cUXrANTpsAze/QAoNe8bfhw\n1rQvvwTo6NaNMTNkCOvjhQvcb8IEQM8OHZjTJ09Sj02bAOXr1TN1U4o+3b7drNUigMhWun/fKOUf\nfID4ERHB+w4ZAh/Jnh1eNWUK93/UcdegATw9pfTwIevDunWsq/37w6tKlmScFi4MkNujh9kwefdd\nY0mTGnTlCsCelxfA1oMHzs+z2wHrU2rdEhKiVOXKjL8LFxI/P6UgRg8RKZnYeU/i818EMZLq9qEV\n9qfFmiKp75VcFxFnAEpi12vFfufOnXHcLmbOnKlWrlwZDS7wX0BAgCpWrINyc1tqcTXpoYKCglRI\nSIgqVqyD0i4n6dNXU86AiwwZmipX1+9VwYK11L59+1RQUFAcsCIwMFBNmTLFYglitcqI3+pi586d\nCbqOxO6vtHA9SW5fP7PieHRKRRDj6efNdruyp0sXI3V8NPihqlkT4TVDBgS/IUOMEJgtGwpwSAiC\nXLZs7IZnzoygNm8eyqNSLORamPn1V/7LnZud4Kgo/s+Shf+1e4Q2w9y1i/KSJZSXLqXcrRvlQ4cQ\n6M6ccbSAaNfOUel77jmUcV1eswZBywp4aGuEiRMpawVy+HDKGlDp0YNy/frsTm7ejPCaIwfv1KIF\nCm/27Hjp5Mql1Pff40oQHo5gWL06ClvZstyrb1+EEqU41yrIa+uTgQO5XluFHDgAENKtGwLUV1+x\nQ2mzcbxDBwQQbeGwbBkKacWKjjv8VmuOKVOolwZLrK4yVqU5JR9fX0d3juzZaZuCBR1dcUQAf0aN\nMuVCFu+CL7/k2n//Nf/lyEH9RRDMQ0MBET79FGUtd26E8OHDOeebb+gzfX2+fI7PuHEDoVEEZe6v\nv9iNy5IFwbt+fXbbChRAUC9Xjl3jV15RautW7jd4MO4SGuR64w3Ms+/cod/0s0JDTd899xznaoDs\nq68ob95MefNmlDl9bYMGmEPrcq1a7LTqPty507hErVxp5lblyvyOiODYe+9RtgJnen7o9lcKpaJM\nGcc5KWKsTXT/aisQ7Xry/ffMswIF6JeoKMCf0aMRuLNkMa4ncwKuOQ5SCz0GEOOJ8uzUkpkvXUJJ\n9/RUatgw54r/u+/CR2JTSAhzqEABdthjWzYkhex2pa5dY41YuhTFVbvklS6NRZ51vtevjxvcpk1Y\nMj3KMzVFRQHoaiuEixednzd/vrFASoxOngRob9OGNi1bFmU2MBB+oOnePawgPD2ZE3fumGNXrrCO\nWt97+XLH55w+Dc8oUoRjdjufL7+Eh61dy/t16waAcvcu/L5HD3hoyZKA4iVLGpfOunWVGjpUxaxx\nAwfCd1evZi7+8Qf11VZsY8aguJYoASBit7M+5M5tQIGHD/nPywvA1toGSgH2itAHtWszBqwWFvXZ\nrDsAACAASURBVJcuwQ/z5mWMRUWZY9euse5rd5yCBeFpCxcmDMrFpkKFDPCSGmS3Ywmxdy/1GzuW\nd7BaMVo/mTPTZlWqACINHWrGuDOLoaTQ4cMAKCVKwGNjAzxXriA7pAZFRjKWc+fGUichSimI8bmQ\nl/KUiCwTkX4iUj6x6x7H52kFMR7FmiKuMrpKubp+4aC8P05riuS+Y3JdRGLXTd8vMdAjfrDHMRaG\ns/+mTp0aAzDomBYlSrRS+/btU1OnTlWBgYGWuBsa8FiqihVrpubMmaOKFeusXF35H1cU40ISGBio\n/P37KFdXnpk+/eo4Vhl+fr3iVc7js2bQ7RRbWY8P1EgL15PkjotnVhwJUyqCGP8N3uzpGbPybv7x\naoy5rla+xo9n10QplDQRzFdtNqNoa+VrxQrjp792rVnQNZpfqpTxt6xXL3qFi2l3hCKljFL32muY\n38+b5yjw6t+enihuujxrllHSRMxuiI7xoMu+vsbk0t+fY1myIFz9+SfCXa5c7MAsWsQzCxRAQR0y\nhMV98mQUgTp1eNe8eQFVfHwQCL/6CmHXzY2dE0v4kRjzYF0uVcq4H4iwM7d8Ob+HDEEAzJ4dofzj\nj6nPzz8bgKVvX/7X11epgvA+axbt3LMnAqyOrZAhA/cvVQrBXF/XuLHpF/2xun7oT+fO6Jd66FiG\nUJzPq6+qOECE/ujxpD9jxji2Q82a7Dxa3S3++IP3nzaNOuTJg5WQ1Xrhyy9NHJCtWxE2p0xBAe/T\nB+XFZqNNtcL+11/mem19I4Lgfv8+v11cGDNjxzI/WrRA2HN3N3FkihYFMGjdGlDAwwPh8vnnEYAH\nDMBiIWtW/tu0ycRm0WBBUBBlPe8mTaL811+Ue/UyAEdIiKnrpk3GqknEzAMRFBvdFyJYPRw+zO/W\nrbnXoUOUS5SgrMHGoUMpWy2g9Lkixs2gfHnKeoc1QwYEbauFU6tWnGu1BMiVi8+hQ0pt+e6YOblo\nUWWlxwBiPFGendoy85kz8AwvL8asdXd4wAADoCoF73v7bfph3DgU5IQoLIzxuHw5gF7//oyv554D\nDPXwUOqFF+jvQYMYr6tWwV/79AHoW7wYvpsS0MJKGzfy/Fq1sNpIiIKD4wyvGLpxA/C3Vy+sJvLm\nhed9/73znWkdw6BwYfipDuOix36nTo7WdLt3o5RXq8Y59+7B5zw9WVu01cidOyjAL7yA4muzmfgf\n//5rrO/Cw1lrVq4EqJ40CWuGJUt4x+++47k//YSV24cf4vbZuzfP+/xzeOKFC7zrli2sQcWKwUuV\nAvzPnx8gWFuWXLkC2KDjddhs1NnLi7XzwQPapVYtzvnsM8f2++MPYpS88IJx/4zdriEh8PoWLQCr\n/f1Z9zZsiGtdo+nOHUAEKziSFLp/n+etWwdvev99ZBDtJpQ9O3Vt3RrePH069Th+nHe125GJ7t41\n1ka//441zsiRrEO1apnYLUWLAjL17Mnat2gRY+PKlYQtUDZsALSvWdPR2mXXLuPqmFr0xx+sm6+/\nbmJ9xaYUgRjKML/MItJfRM6JiC2p16Xl50mBGGljTeGosDtznUhra4qkvvOjuIjEB1okxWXEutMf\nH9BhYmE4/8/NbZmaOnWq8vPrER3DYrGyWlnEts6YOXNmDLhRtmxPS9yLncoa3FO7kBgLDJ713Xff\nWeoJ0LFx40YHqwtdz4RcRxJT1q3t+SRcTx5lHP2vW3GktqD81PNmbdsqou79fSxG0NKuGzNmGDP4\nceM4pt08tJlqixaUt27FBF8pBAx9L70gV6nCQquUCUbozJrCGgjR398xEOLatSamwIAB3OvCBcpf\nfEFZ71yPGUN5/HjKI0dS7tzZBLXz9kZwq1EDIeP+fQSgzz9n51ALuz//zGL+ww8Igl27AhK8/z7C\nbp48vGerVsb3Wu9M79+PoK7bS8QxRkOTJgiAhw8DlthsmPi2bMmzd+6kHf78k52RbNlQFLt0Mfd4\n7z3z+7XXUCKsAEWpUuZ3hw4Ium+9xTuJoMAMHmziUuj7NGiAoFW4MO1iDcCpP1Wr8q1dTmrWNK4p\n1k++fPStuzvndO3quJPVvTt9Y73mk09QknQ5d25jht63LyDPZ58hwPv7IwxbTZoPHKDv8uQBYDpz\nhnv8/juCv68v/aPHzHvvMQb0PSpWdAQ1goONpZAeT/XqIZR6ePAOStFvR48CAq1YQbtt386zt21j\n2r31FsLy4sVYDGnLhQkTGJNt23KvDh14XmAg5YoVqb9Spo+bNqWsQY0NGyjr2CoHDrB7p9+jcWNH\nF6Fq1cxzRKjrP//wW8eaWb2a65RydOPSyoKIASKtrifXLMYV33xjeMfChfzWYMuFC0qdXrrXnKz9\nVJS+vygrH0urz5Pi2WklMx89iqtV3ryAeffvM9cDAlCAP/0UBXrQION3f/cu/Gj1apRIbVlUoQLg\nYdasKFLNmmH18cUXjK8DB+J3+fjrL6557TXcIJRiDP79d8reLyQEAKVYMcd4DQmRzca8vnYNwG3T\nJniunu9NmsB3Dh5M+H7797N2+Puj/CtF2333HQpv8eKABv7+8NJr1zgnMhKwsFUreGDbtvAmTUeP\nwp+6d4cn2Gzwixo1UNL372euHT0KD6lbl77LkQNAKnt25mCGDPACETYE/P2xjKxWjf4oWJAxULAg\nc379etagy5dxeSxalP5XivvpmBw3bpi67t3LHH7pJfidBkWtdOgQMYVy5uT4pk3G0kTH5GjfnmfG\nR5GR8L0RI6h/tmwA4ePH824aXNm3D4A4NtntvNfOnQDMo0YZYKFQofiDwv75p3EnTYhu3WLsJIUe\nPAD82LABGWvIEMZAxYrMRT2/Xn2VNenLL+HlBw8CYEVFAdzny8c6ev48/DSp1kXJoXv3ACkLFjRW\ntVZKqSXGJyKyTkS2i8hUEWknIvkSu+5xfNISxIhP6UlOEM3kWlPEVvgfJ0iRUBuk1EXE2X2T4jIS\nG/RwBnRo4MHalrH/s1pk+Pp2VwEBAcrHp4kybiOOGUewtIhrcWE9nj79auXr20VNmDAhGuQwFhi6\nDazBPJ395+fXIyZehrNYGEl1NXHWvk+L60ly6H/FiiMVLTH+G7zZihjs2aNeeIGf2i3kxx9RlJQy\ngRK1m4e2kNA+8H//bawyaEs+esdOlxs1QtjSZWvwwWnT2I3QyqwWiIcONS4e27aZ8+/cQbjQ5fBw\nrhFBYLp+nYW3cGF2GS9fZgfynXe4NlMmdrfGj0cg2LsX4XP7dhTcZctMDIRXX0WoLFQIIenPPxHA\nRIwFyqhRJnuFdQfaw8NYfbz8MoKudm/QCnlUFILLjh0Ig9pEuFUrABvre2o3GBHib9y7x65mp07c\n9+ZNx/tPmQLo0qKFI6CRJ4+KUT71fy+/zA6bLs+fb347AzGS+rG6sFgtBj74gLYuWJB+LlsWoKBM\nGQC0Ll1ojx9/pKyva90aobtKFdyIFi9mTFrfr0AB0+4dOtAvRYvi/z1ihHHzePttdjjr1OGcbt1M\ntpslS8z9ChZkR1KXr13jProcFobAqwOG6qCEfn7s6M2fj7DZpg2KX//+Jmhp6dIIqe3aMR4qVeL5\npUoBFE2bhtVI5swIsnst+r4OdKvHow42qoOh6nmkgQvrHPX3B4DU1ixeXsYkXIS+sVpxrF7tGFPF\neq9+/fhtdT2xjtvjx/mvYUMASaUMuPfvv0rdD9xgTq5bV1npMVhiPFGendYbfwcOADo4s4rq0AEl\nskoVgLaMGRl3DRsyN8aPZ/7t3QsAkZxYBVFRAOBeXlgzWK/t2BH+9Sh08ybuEblyAcgkNZOE3e5o\neWUNLrl1a/wxB6x0+TK8KE8eeFlUFBZVuj7NmsG/t26FB332maNlwMGD5vk6/oymX36hrb791ij6\nb7+N4h4eDoBdogQ79zdv0l9//8261rkzin758lhvFCpkAljfvAm4cfcuSnJ4OO+9YgVKfcWK8Kxh\nw1Dko6KwKvHxgUcqBf/R2VGs1i42G8/X7/TGG7xX7OCX4eHcy88PXjRlCrxJr4eenrRVUmJK3L4N\nsNuvH7zGy8sRhJ86lXWzeXOelyULfVOpEmP9449T7uJhJWu8oZTS7duM0V9+YZ145x2ANV9fZBbt\nqmJ10RRh3Ukty6bYFBTE+tevn6OlVkpBjP0isldEhotIbRHJmNg1j+uTXIYcn5uHs2PxKT3JCaL5\ntFlTJEap7SIS3/2T4jISuz7OLBg2btwYBwRw9p81Y4m2nihVqpPKn7+hcnX9PhZYoUEN5xYXGzdu\nVCEhIU4sNIwFhnW8xA7maf0vMUBBt0FyXU2ctfujuJ48biuNxOhpsOJIDYAjFUGM/wZvttr0b9ig\nPv+cn9rPfcMGTlHKuHkMG0b54kUjAG/fbgJIdu7sqASVK+cYJHLVKrPLW7Mm99LpULUJfXAw5dGj\nKf/0kwEKrICITo/aqBELuN4dL1aMHZYPPkDRzJ4dgebttxEsX3qJ3aHSpU3QxTlz+P+NN9gx/u03\nwI8XXkDQOXvW0XUiIsLsfI8ebWIZiCDkWdPrWTNJaICoQwfapkMHlOd27Wjbd97hXW7coCzCe1nT\ndm7fbixSKlRAcH3xRZREbUmSJ49JQTtjBsLHxIkoziLsni1dipCnY0C0bs2uUOPG1MHqTlKgAACN\nr6+xCNGWANoaw/rp2pVrcudG+Jk71xzTrkgi9EmDBo7XFirkCHqIAMCMHIlbh96Fs8aEKFyY+s6e\nbUCy27cBDfQ5n35qXGaOHKFdunTBImfHDvr3/n2efeECCrvOtHL9OgqFNWaIdkkRoW0iIhD2tEWS\ntjgS4bl2O7vaY8fiqtKggQGsmjVjnBQvznjz9qb+WbLQn0OGINj6+nKfunX5FCrEGFXKuBhpVwFt\nxXTiBGU3NxUDPGg3GT3n/v7bAA9KkbZYxAjTVsDEChRVrw7oo5WXvXvZNdQgjFLmXKtVlnZD0XW2\n2xWasj451pbuYwAxnijPTk0Qw2Zjd3bbNoC94cOZj9ZgxiIodW++Cfi6YAFzQMdpSQ06eRLlu3Zt\nR0sDTV98gVtecujhQ9xTcufGJSIpsRIuXgRA6dwZvmjlG0kNFqoUAMfEibTboEHw6MBAwB5vb3jA\nqVOM5cmTeZYG65QCSOjXj3MnTYJna5eNyEjmeOHCzCGluE/fvgDLt29TbtsWnqkUdXjrLf4vVYr+\n+/xz5tSmTSbIrx5aOXJQ59q14W3ff898ttlYD+bPpx61anEfpejDQoUAOTUtWQJoMHeuqefrr9MO\nVje2TJngcRMnwkf0/NeBQDt0AOB/6y1AtrNnuU+hQoA0yQHLzp0zabCtn27dWPPTKp2rpi1bjAVr\nWpLNxhxdsCCu+6cIFiVFirA29OiBbLJwIRsDly+nLEjvzZsAj6VLGwu9FLuTiEh2EWksImNE5JiI\n7EjKdWn9ic2QH9XNIy1Tkj5NIIUzSpq1RdJcROK796O4jMRn8WK1tHAW1NPZf/paaypUrCpIlbpk\nyRIVGBiofH27q3TpRquMGZvFiYmxZMkSB+uO2PfSIEdS6qUBg6SkXU0NVxNn/ZKY68nTZqWRGD0O\nK47YljNJAUOdtVdqCsr/Cd7curVZ/ebOVb//rhyUoD17EBYPHUJY06c2bYoypcsvvWQE5L59EVAW\nLWKxM22LMquUY0wILVxoxfPOHeOP7+ZG+dQpFGKlUFKzZkVo8/Zmd2foUECUXLkQ0tq0QXDy9EQZ\nLVzYpKLbswfFcMUKBLhduwACbDZ2o15+2bjQaGBGB/607jY9eOCYptXqdtCoEcKCBjYyZ+a5Oujk\n/fs8c/Fi3uHffzGz1tkgihfn/jqwZoYMKBra/SI0FCHzo4/YZWrQACBCZ37RwMIvvwBweHnRfk2b\nkiVGBIuHYcO4VltiWC0yXnzR0d1D180ao6RCBQCJdOm4Vqf/9PMzCn6NGigyIsY3fPBgxtU77wBk\njRxprs2dG4H355/Nc3RgufnzsRw4dAjLBKvwpt0TevViPPj5sVv4zTeAMocPI/zr83/7jeP6Xe12\n6jBjBnX+5ReeO3AgwrndjpKir1+8GIVK93vVqo6+73/95bjjqoGEOnWwIDlxAmE9Rw52twcOZHcw\nWzYUiUyZeOeXXgIM6dABIb1TJ8DFUqVQYnr1MjFs6tal7h9/TNnHh/vv2WMCeep4mTo7iXbLmjsX\nAVUp5psV4NBlK+sQQaH67TcDtrVurWKsuXS7Wt17NBhYuLCJj6Pd1OJMMB1NN+Z5qceb4/s8SZ6d\nHBBDBxq0Bs/s3Zu5rFND5s0LL+vUCVB69mwwIk9PQFYd3yQtyG5H6dUZFeIDRX77jTomldatY92p\nVw8gPD66e5c5Nngw1oHajeHbbxnLSsFDChVKmlJntwO+lywJD92xg3Hr44PS/v33xurg9m3Wn4oV\nTXwMHXA0d254kHYrOXaMNWv3bvhCvXrmmN0O4FG5slkjp01jfkVEmGsvX2Ze+flxTY0avPusWVgO\nWkGM8uWxIBw1Cn6j00GfPMk6UbAga9HFi4DwmzZx3fHjHNNumLr9SpVi3M2axXqi41QcOQLPzJeP\ndalPH4CjPHkYj/PmsYYphfvL6NH0xcsvw+uCglhbqlY1ynJS6Ngx3keDrpky0a7WLDI7d6aNtcKS\nJcZqNbXJbufdvvsOIK5QIdqyXTs2YQ4dYlyuWOHcVaVdO8ZjrlzIPmXLcn6/fszP5ctZr2IHaU3o\nXXPnVtGbXvHz5aQwPT8R6SMiS0TkhIj8JiIjE7vucXysDDkh64nE3DyedErSx0mPam2RmIuIs+ek\nxGUkdn30uVZLi6QG9fT37xNjPeHr2z1eAKJs2Z4xVhpTp05V+/bti66HyWpilF5zrdWtxFHZXeaQ\nDcWZG0lS0646G2uP4mrirJ+exgChqU2pYcXh6jpJWTPNJOSm4gzw0JSKlhj/Cd4cExRBRJ1v3ld9\n/XVM0WFHpVgxkyFDxPhnOlNsypXjd0QEyrsW7jJkMOfqjCQiJtWdVjA1gFK9OgLJpEks4jpI4sSJ\nKPeFC6N0jRmDpUazZih0Q4aw0z14MEpnr17sSP/4I9c2b44w2rs3wtXdu9TzwQPjAlKqlGM9/f2p\ng7YgETEZNkQAVe7fd7QS0e4IjRsjuOXOjb9uzZq0n3ZTqVQJoS0qygTfFEEJ0SDCrFnc6/nn2SUb\nMAAriwULHDevCxY0O9sdOyJIWhVrHx/iP/j4IMBY8CuVPr3J3qKV2+nTUdJdXIwFh/WjM1q8/jrA\njzW9q05va/24u+NrrgGLs2fNserV6Ttt+SCC0J4vn2O99Ht2746CkjGj8evXrknXrqE8z53LONm5\nE0XB6j3l62ssCurVo33r1UPQq14dIXHfPsbO7Nko6s8/j6Dt5WVisOjdMLvduDKJILTnymXKoaGc\nkyMH41gDdTqi/DffAF7p1MOlS9Om77zDTmK1auxaT5yIIrNsGdYoy5fTdzYbc2T0aPT/69cZo/Xr\nsxu8dy/zWGcF0i49Git4913zTu+8wzGdkUCPFT8/ytevU9ZKzerVPMfKB0Ro80WLTLlmTcc2saY9\nXrJEqWt1LYiH1ZRDpR5vju/zpHl2bBDj7l2Uk1WrsOAaOBDXJH9/5lGOHCilOnjmtGn015EjzoMe\nXrgAux82DGA4a9a45v6pQZcvw4vLl6f+CVFYGPVITKk8fNhYAK1aFRd4sNlQwgICmI/ZsjGHR45k\nDDq7v7ZeSExJPnwYcKh0aZTgLl1o++7d41578CD3fPtt496ybRttUbOmCSit6c4dM9w/+MC4nNjt\n8N+KFY2lyB9/wHe0S1aLFoBXSsHrpk0z/frvvwC5n3/uCGK0agXf2LXLxI0YNAi+qxRryogR/N64\nEd576RLlkBCA8HnzTP2tmxGtWztmIbHb2fgoXpy6njgBgGTN9FKuHO+5Zg1jYcUK2trbm3Xsk09Y\nB7t3jz/TjJW6dzcWJJcuwR9r1eLZGzZwT39/+GTLlvDc48dTJ4XwlCnJtyqKj+x25vH06ayt+fLR\n9h070n5Hj8atc6VKJuZYQhQejtXdihXIWv36MV/LlTMuNxUrMqaGDAEI2bABEMXqanXhgragjJ8v\nJ4XprRaRISJSVUTSJ3b+4/xYGXJsd4PkuHk8iZSkj4sScpNJDWuL+J6XVJeR+K+Ja/GSkqCeWsH3\n8+ulAgMDlZ9fLwdXEKOgGnDCKPLatcTcS4MRzu6VUL127drl9B0SioVhPccZ6JMSVxNn/fdfCBCa\nmpRUKw4rEJWYxVZswGOXhfOnIojxn+DNMWkcRNRej3rqzTdVjLL5++8m6KZWonU8Ch2MTWdO0Ltb\nLVtS1ia+/v7GNLZcOY5FRLDzo4Wf/PkR+GbORLAqUIBy//7sOuTLh1Bety47TB99xE5SjhzGyuCv\nv7jP+fMIR3PnsgNz4wbHu3RhQY6IABjIn5//NYBSrpzx8dXGKffv8x66ngUKOKbH1DtmIuwYKcU7\npE/PexcqxA7d3LkIj7/8gmLcqxfv4u3NNRMnoqxu3ow1hr7/kSPGUsDXFwHXwwNBOWdOQJGdOxHU\n9TWDB3N87lwE54cPzY67CKa1f/xBt1tBqOvXAQN0HI3SpY1L0Pz5gB4aIBg71lyX0Mdquj5wIIJS\n3bqOrghWl5uOHelXqyvSxYvsplmF/SJFqO/hwwhcISEoNlbXl6VL8a3Ol4920FH0Bwww4+vmTUf3\noL59He/xzz8IfO7uBFcrVw5BLnt2hOvBg42fuQjnhobyW5t7b9lCOWtWR/eYdetQUkVoW6VMVhId\nV6JhQ66ZPZsd3UKFGGe9eiGw2mwcv3yZcbF3L+DO8uUAdb/+igDfoQO7mzNmIOS7ujIuevVC0dMB\nRKtWReG5coX7iaAIaMBCxAAVuq7ffkt55EijCB04wDFtGaOtgw4fpjxhAuWgIPrNqgQdylLR/KED\nlCg9z1KHN8f3edI8W0RUhw6M/zx5mI+lS6O89+kDr1q2jJ30+DIFxEcnTmB9oZVepQCpt25N3n0S\nI83jhg5NWmwJpQCUDx50fuz6dRRDb2/AT+s9tYuIBohLlgR8W7Ei6TvKH3/MeuKMbtxgDdKZhJ5/\nnjYMCDABUK20YIGJ+6EU7g3t2zNvdbBnTceOOQZjFsEVS8fAeP99eLTu51u3ePayZZQ3baJ8/z5z\n1MODd167ljmvFPN+/nxHEGPgQOofGWnA1JAQ2u/+fVx+PD1ZR5ViPahTx4ArwcGsnTrmzpUr8FPr\ne4wZYwK3KsWaO3YsvHroUJN6NioKnjV6NHXOlg03lzFj4B3vvcc1NWrAe3PmxH00vtgnp05xvtU9\nKCoK3pQ3rwlIrhQ8c8EC1sN8+VhTevWifa1BS5NDOm30o5DNxnrz1VcAPLlzsy507Qr/P3EicaCl\ncGFj+fOopIOf7toF+DxmDGtn3bqMtwwZGM81a9J2xIOKny8/Vgaa2h9nlhiP6ubxXwUpnFHSXERS\nbm1hfVZyXEbis75wBi5ZFer4zsEtI/7/rAq+1cVEW3VYFdTYMS4AP+IG7dTuINYMJBr8cKxDrzhA\nTGzXGGc79s6UZ2e7+olZFKQEZEjIJeO/7HqSXIqPbyTEc2IDHmlhifE0f+JzJ7GX8VVKYb2gF2Md\n80Gnl9SKV7dulPfsoTxoEOXp0ynr2BRvvIHypBSCiKsrgsuhQ+wKZ86MADNrFsL5c8+hvH33HTs+\nr79OLIxp0xDsxo5F2Jg+net+/RWAYuRIhJxLl/4fe+cdHlXR/fF5xQJISQUChN57702p0kV6R1AE\nhFd6R4o0AenNoIBSFKRJB+m9iaA0KaICAoKEUNN2fn98PMy9m93NJgQEf+88zz7J3b13Zu6UM+d8\nT4NRa9wYJs3h4JlkyYwAZo2RsGQJ37VsSR8ePLAHskyZkgNcKaMB7NmT60uXTNDCJElgnkaNQoBN\nnhwNYJo0AAopUiDkWoNEFivGd9YsItOnU6+/vzEJrVwZwSYkBIba4TAWG2nSAJBIUEYJPGoxsNEB\nAWiclMKMtGZNGJ60aWGQ2rZFwy7zPGaMPVNFx47GlWTmTAToZMnsaV2tAdXWrIHZmTaN9/b3N4Eh\nX37ZZAJRCsG3ShVAgVSpmJtUqRiz9983gEblyjBTERExM5/4+CCMV6+O4Pfttwgc1ns++ABN35tv\nojFbudLOfM+fjzWHXH/0EYy+rJVcuWDu5s1Dq7hgAWtz7lyAu4wZYaKnTDHzoLUB+Y4eNYFbBeCx\nZqg5fNi4bIims2NHrn/4gfdOlAi3HX9/xvDCBeNGkjMnGsi6dQENSpdmHrt3ZxwnTcLvfOpUhJQ/\n/8QqZdAgxi0qiv6EhprvgoKoe8QI/k+UyMSwESBCUr3Wq2f2Urt2/CbuM2JtYc1iIgCV1mb9a63t\nUSc7dtTW8m+nzUop/cUXWB1dupRwcSl++om1LsEZpfTqxdwmRAkN5UzImtVkzvG2NG1q1+5rDVjx\nySeAF127AhqIi0iPHuwjX1/WjtVFJK7l0CHAD6uAGBmpbRaJSkEz1651PScPHwKAZssGuH//PueR\nBKmUIIhRUdDGGjXse79oUQT7okURCvv2BXgVYVqyXomWPyoK+vbNN1yPHGmCa/foYea0VClogRXE\nmDIFQExraPLixfxfuTJCq9bQ9VatTFuVK0MbpZw4AT347DNi2wwaxDlmHa8UKaAD1uCfly5xzqZL\nB/10Fsrv3GF8/vtfzik/P1weSpe2W2+lSAFQ6/z8O++YWF7OZft22u3fP6ZVjsPBHpk40cSCKl4c\ni6Xt270H49q144z2pkRFYeX3ySfQTj8/1k/79vAfruLHeCoOB2eru7SzCVUiI9lrW7bALw0Y4Jku\ne0P0yiqlNv/tu3dBKfWLUupCbM89jY+rmBj/VmDCU4mvi8jjxuyIj8uIc5+9ecaVVYIrcCNmAE3n\n7+wuJgI0yD2bN29+FBsjUaLxOl++9o/SrZ45c+YRcOHKbUAEV3dBPF2BCq6sMqwae5kb2l7RZAAA\nIABJREFUd5YbzuOa0K4mrubs/4PrSVxKbFYcrtZ/AlpiPB+0WVT9Sul7fgSdWLwYiwCtMVsU5uH0\nab6TuAk3b5pUqq++ChNy4ABxLNKkgbmbOtUwWFmzIrzNmgWQUawYzNjYsQhh9+8DBmzYwIH+ww9o\n7ffvR+ieNw+mtWFDXCi6d0dQEz/YokXRRF2/bjTs589jWvuf/3DtcJgApUrRj2PHzHXy5HZLANGE\ndeqED7TWRoM2aRLvnDQpjMj8+fRp/HgYxC++QDgNDMSaQJhEa7BHX1970NPhw2EUPvwQpmjBAgCF\ntWt5h1y5YLisDGNICExkly4Izw6HPYPLRx8hZCRPjqZGvg8MxALEGhZFKcbXmtbUGlDUGpyzQAGY\nbtE2Zs1qgmTKeK9bx1wcPWoEeKVMIM8aNXhOArnKp25dtFDW7157zfj7y3f582P9EBoK0LJlC+Nj\ndX0pVw4h6McfAQHq1KGeNWtYNzlzAmqIq4dSuG4IcGMVuGvWBNjYuhWBvkYN5rVIEdZSuXLMwZtv\ncr+4ZO3ezXXZsrSrtd0KIVcuY6lRrBhMLAyiMdGWe6tX59oa7LZ8edbtsGEAj1mzYmGxYAFrafBg\n9sfevWjUTp5kr23ciJBw4gR7LiyMMRk7lnX54AGa9ebNaaNECdpr3NjuUhMcDGhx/brpp8NhLFPE\nDcWaFULGVFymdHS0dlgDyzipFZ+CJcY/SrMTMrCnlEOHmL8FC2L+9u23dheg+JZt2wDxOnY0Wva4\nFAk2rLVxQcie3eytsWMRpJ1dRKzZPuJbHA7OFnF72bTJTnN69TJgnKvy66/siTffhAYtW8Z6fust\ns3xv3uQds2RhDw4caLJLBQez57S2u1haLT0mToQmiAXCp59CexwOxiBjRs4ZraHJwqamTs3+s4IY\nq1ebTEaTJpnYT998Y4IRh4WZTF1aA96mTWvSNmttlBeyz7WGhsgZWrIk7jHp0zNnS5YYOiZBqMuW\nRZB3Vy5dMnF6UqWyz4tSnLsSF0UsSFxZyEi5do1zp1w5Y2niqjx8yJj1729S7taqxXidPOneIqJm\nTcbXVYmMZMw+/pi6fHyg+R07ssYvXXLfH2+KWAQ+rXLqFOsY2u2eLntD9E7/HYQolVLKXz6xPfc0\nPk+CID8P5Wm7iLhrPy4uI87Pe7LYcG7HlVWN1jHBjX379rl1w7BnKXF2MbHHqJDYGLlzt7V9L/+7\nEtqtQUldAROu+modC2drDXduI56sMlyNcUK6mrhq4/+b60lClAQEMZ4P2hwZqR3WvJlXr+ozZzic\ntLYLlxIAsFUrrseP5zp/fhip6dMNEFG+PEK8MCxaownp1w+hePt27mnbFlCjWDFMkQsXhgkrUwbG\nO2lSzGSrVoUpypIFYXbzZsAAyYvetq1+JLBrbeIxiPmtWCJcvAhjV7Wqea+sWc3/AlpIFocGDWBa\ntm0zGSA6dED7XqYMdaVJg2Bbqxaapnnz6JsImDt2UFdAAMyi1WXh99+NFuuFF2BOS5WCgfTzAzDp\n1s2epjIgAI3ayJH6kcCfMqUJoDhnDnWI9UNAAKBGihRYd0g9OXKgxbRapigFc9KvHxrSWrXsMTfE\nKkUpA+bkymViYfTsiSZR7rHG3ZB0cDVrsgY+/tiMfaVKJlBssWJo2qxpWJWCET51iueU4p1z5wbs\neeMNgJMSJWC4JSvL/v1oMK1uI336sE7F4qR5c+Zr3TqE7eho1lyiROaZli0RrpImZb7OnAF0SJEC\nwa1aNcbd1xeQ4vXX0VgFBppAnr/9Rj/Cw+2xQMSaQVw0ihQxMUOUYixCQ821aDf79zdph8WaYfVq\nLIJSpGBsT55krXTowL68d491HBKCtvP4cd75iy/YSxMmmCw5Q4YwBzVrsg/69TN+9NmyAXKMGQNw\n4ePDGpUAfZUqcZ9Yt4iLjDXmiwT2UwoB9ZHZl1JILU7SwlMAMf5Rmp3QPPOOHayjlStd//7XXwho\n1jgGcSkPHrDf06Y1sVPiU7ZsQaA9dow1qRSad6uLyKpV3ruIxLV88IE9SZdSJm21p7JhA0DBuHEA\npK+/jrWhBMM8ehTNuo8P9GP/fuYiMBBQPCDAHjNkyBDTfrduABT793O/WJrcvs15I6DF2rUmdMy1\na9DEyEiA+8SJoWVWEEMycsn/mTPzf0QEwIX0Z84c5kS24LZttHv5Mvu9ZEnTVwHnteb/jBnJeJM5\nM4L7kiWc9enTG1eTqChoUOrUnAVW9xNXxRrzxOIBazuXxJ0ttnpGjaJdb9fsjRsmvXeGDPAxbdvy\nrtZ+FyliYqSEh8P7jBoF6Jw8OXS2SxfG4+pV79r2tpw8aeJ4Paly9SpATrFirJUePUQH5p4ue0P0\nDsR2zz/1+f8EYjxNFxFv2/fWZcT6vLt4D57cTJzfwx244exG4izwnzlz5m+BfqlNsLfGL/Dmf+e4\nGLFZZ1h/dwVWOIMBntxGvLXKsD7zJFxN3LX1/931xJuSgCDG80ObLaYHlz9br6OjTYrPkyf56eWX\nYSzv3UMzVLQoTEpUFGbELVrAHEVHI+gMG4awdPeuCZrp748gKBYT1asjYHXsCNhQsiRM34wZCIIF\nCyKU7twJ6JE5M3VlyMDhKdpjrdGWiTCstQmwWL8+fVi1yjA8fn7G+kB8xCX44IEDXEs2jeTJEcyi\nomB8zp5F8J07l3o2bYJ5kNgJJUvCHN2+jSB56xaHv1WT9NVX9Ck4mPZu3oTRrVEDQGfSJMZKLF6G\nDTPuIkrBKG/YALNaujRuG3/8YYR7pWC4oqMRuufMMRk0goMRTM+cYTyHDUMQqVkTIGDmTJNac9Ik\ngKocOWDAihYlloMV1JL/rVYL1vSF4lqgFMLOpEkw2j4+JoiqfCZOZF2kTg2oULUqAM3duzDFFSpg\nJRQUhPDcqJE9Vka2bIx9RATAwfjxjP+4cfZ2tm6lztSpYdrffZc1V7o09R8+bMAVSaMoGTREwBGL\nA8kC2qwZzF3btsxp0aImY0T9+mhoP/mE8bh/n98FO5QUixLb5MYNu7VQ1ar24Ky7dzP31auzn7Q2\ngTivXDGA10svsW4XLmQOJeBupUr0t1UrQL0MGZjLESOYxyNHWIvLl/Pc9u2Amt9+y7UEY+zfnz5v\n2MB4R0Qwx82aMW4PHzLGhQsD7IWGMu9ipXPpkom3UbiwZvDlJUVd/ARo87NKsxOSZ16/HvqxebPn\n+woUMDQvLkUsq956y8QGik+5e9d1WswXXsDNrF07LLJatABUbdQIQK1ePUC0N94AQKxcmXVdvjzg\ncsmS7MfChXnHvHkBW7NnBwjPmNFOs+SzfXvssQeio6GbadMCMErK1KlT2duLFxtLrpEjARciIwEB\ng4M5M7JnBziUMnQo43n9OjTLCqqsWGHu69vXuKppDVAtwXUXL4Zeag1dk3TJVhDDCm44HAAT58/z\n2+DBdpeVQoWMi5jW0AeleGbgQJ6XM2rZMnPf++8zP19/ze8ST+v775nPlCn5e/Qo7/rBB9w3caL3\ngNr9+9Adq0tgzZpYZXpTdu1iLnr3jhuI53Bwdk6bxjtKcF0Jpt2okbEaKlQIoH/58sfbI96UbduM\nq19Clrt3USbVqMG7tm7N+rVaQT0uiDFGKTVOKVVaKVVEPrE99zQ+/2YQ459yEXHXF0/te5Nq1VUW\nB++DfMa0XHAGN1y5kbgWntfobNla/515BEDDVeYQd/8LACLuJZ6sM6y/u+urJ8uS2IJ5emuVIc89\nSVcTT+39z/XEXhIQxHh+aHPnzo84gXXlR2qtYQa/+w4QI1s2hOEKFWCYdu6ESSxRAsFmyhQEwYIF\nYSzatkUYzpEDbWCePDAsr74KQ5ckCQzXm28ikBUvzqGYLRuMavv2MAsFCiA8TZzIdblyhmG5eNH4\n8YuGTgJJRkcjiMq9yZKZoJRKmaCjY8fSb62N/NSzJ9elS/N+HToYTWPnzmhW6taFsXz7bTT+ogmT\noKYHD9otJ3x87C4Zo0fz+7RpMKF//AHIsXs3wEJEBACNlckuUwbhsn59wJMCBWBSu3aFKT1/nr4J\nWFKgAAyIaM+sIEqlSsQTyZnTfHfhAkzsoEHMgVJY2Eg61mnTAFhKlABgqV+f9kRzOnu2AYbat0dg\nf/99BO2uXQEe9u61ZwexpnPNl48xsqbnVIr2ypSxu/hs344Wr317u1mzpGGdNQuGq2NHE4VeKYCs\nb76xB2fVmjmvXp31OmmSyYjj6wvzeeWK0TxWqQKzLJYd9epRh1icrFsHk5stG5q5LVvQws6fzzus\nXw/o16QJ7ZUta1wyxN3m5k2zfrJm5Tdx21IK5lhAqbZtYdzbtzfvAx0zAUM3bOBa/Nzr12ddTJxo\nALQKFRAUq1Y1qWanTmVt37hBexcuwPhv28acDB/Oehk5kjFcvJi11bAhjO+XXzJeOXNi8TF5MuvO\n35/1cOkSDHHSpH9ba/XubV5ywADtXJ4CiPGP0uyE4pmXLmUveBOb4v33TXBjb0pUFPs+MBAhPK5Z\nHSSY48iRrBUrbRb3pKlTARVnz0YAnjuXthYuBABeuhTBcNUqwO7161lHW7ZAG3btgtYcOMA5cPQo\n6+/ECVwif/wR0CBNGjutsQrs7sqNGwh0ZctiBSUpU48f5zooCEBv2TITe+HaNSwFKlfm/4YN7eFe\nhg2Djsq5pLVxzRB6pzU03s/PWDD9+ivXd+9y3b49Z7HWWGS98Qb/W0EMremz1NG8OQC51liK+foa\nl6CtWzl/Hzxgnq2ptaVItq6XXjJgS3g49HLsWCzn8uThrBTLluvXWUPp03NmL11KPdWqYVm3aVPs\n82At0q9+/ViX1aqxNmJzN/rzT2h56dKMZXxKRATntjV1t1KATYcPJ4zLkzdl8WJjlfq4JTIS1yHJ\nwlOzJkoeWWfO5XFBjG0uPltje+5pfP5NIMY/7SLiqT924Tpm+7HV4QqQcNVnT24mnlw1tHYNAHgK\n7mkFNC5fvvzI3cT5/7CwsEd1YcnR+lFMDVcgidX6wpu+SqBRZ2Hfm2Ce7sY1NgDgabiauGrzf64n\nlAQEMZ4f2vzZZ49O39UvN9APH6JBGDcOZipXLgSwfv0QzMLCEDw+/xyhR4CIzz+HcZo6FXBg+nSA\nCgmamSgRB2TevGhqW7SAYUqSBGZg1iwEHHHbEGBBhC8RxpQyjFapUgAlv/1mDzSZK5cRCseM4d7f\nf+e6WjWYsgsXYJwjI2GOc+VCwHU4YMImTuS73bthjkJCECArV+aQl/5Urkz9Ys0xeLBdGBd3AcnI\nkiMH43LtGgDJt9+iUdIaBnjePAQ8cQ9RCs3VmTMwgKlTY2a8fbs9m0nBgrxj+vQICLVro3Vct87u\nnjB7NgyqNb5FcDAmzj4+9GXHDrtMqZR+lLmmcGEsUiTY2u7djGPx4oAX5crxXvKuERH837SpPaXm\niRMIwx9/TP+uXwc8sAa927KF+t9/33xXpQrWMXXrIohUq0bfJQuGfAYNglnv3h1mPSqKebZaNQwd\ninuJXBcpwrt17Yp2bedO3iVLFqPpunPHuBspBZMnaWHDw7G8UYp5iopCYOnb12gb8+dHyMqYEeF/\n7FgDWiVPjnZy/37qaNiQNo8c4VoC8cneaN3ajLUIYjdv8r/4uB88yLVYfLRpw/XOnczNf/7DmKdO\nDXB56RLzUaYM9W3ezLtfvcr3EyYwH2PGMHZvvcXaL1UKQSZLFoSXEiWMS1hEBGBG377QDMkkNHo0\n66VYMW1XP0vUQkt5CiDGP0qzE4Jn/vxzBGnnVJ7uypIl0AlvyrlzrInXXoub0OecVjNPHs6XNWsM\nHX/9dXvMhSdRLlxgvQYGAkQ0aAD9OHECGpk3r+dgqgcPsmdLluRsqVAB2t6kCXSzU6eYKWX374e2\nDhgALZg0CcBOUtuOGIHgbnUvWLnSbINx49grnTvTnjUQ6+DBxk1LYnucPMn1lCk8o3VMEKNkSROj\n57PP6L+UunXtwSnr1cNSomFDxmfjRuiUxPXRGgG+XDnAEbEM++03xnbbNua4aVPOTrH60BqasGQJ\nzwYHA2zMmQP9qF/ffq+nUq+esWqRwNwlSzIeo0Z5dlWJjub8sfY9PmXjRniFzJmNciF3btZ7w4bw\nNt6+T3zKxIlmLcSnOBycMd27M2/FiwM6e+P28lggxrP8ed5BjH/aRcTb/rhyR4iL9YWnuBfWdt0F\n+YwtO4mnjB/OwT1jswZwBg+sbbt7ztoXq/WFK7cSO0hlDzRqBaS8cRtxFU/DnTuKq/l5Wq4m7tr+\n/+p68qQZ5WfhE4M2S05EpfSVxJn0woUI0s2awZTlzg1DNGGC8XPNkcMEjTt0CCAiLMxklihWDObF\n35/D9Z13ADG0BpQQKwetOfR/+AEGRAIrPnwIuGDV/FitG27fhumQ64AAEwdBKaMhFK27+BQX+zuD\n48SJXBcvjubn669hNnLmhPEsVswEFD12DMuSXLkQ9gICYAJFOC9aFMHXCjqsX2/vf9++MLGtW2OK\n27EjbYn1gcQgEQY2USIYXxE4c+em3caNAZPy5GGMLFOnGzY0AMz27fa4H9OmIdQ2aQKTIsDT+PHU\n62zSnTUroJBYMeTMKenU+FitYlasMJYAuXMjuMpv//kPTKlcV6+OkF6ggHHJCQ+3t71oEQBPgwYI\nBhMmwDgfO8YYWud52jTGacQIfPzl+0qV0Jru2UMbY8ZgHVGmDGM7eDDWPNY569TJpCz09WWcU6WC\nYc+eHUDll18AIQQAuX/fxFtRir5KgD7JAtCzJ/XkysXfc+dYA71708aoUWhxu3cHxAgNBeTLkcMI\nGAK0iLazQwfX+6JmTWOloRTrQILz7tzJ/eJ6ImRa7i1a1ARWTJ6ceYuKYuwku0vy5ICPn3/Ou37w\nATThiy9M6ttkyYhrkykTQkzJkoxdvnxonfv2BSj77TfWbNeuWhcv5tAOaw5aF+km/u20+XF55smT\nEQYlALM3RdJzetIYOxxo6wWEiy1ryq1bWCK89x50JHVq1oyAs65Kx47s5YQu0dEAFLVqcRb17Amt\nnjWLsTpzhvscDs6kr7+OWYfDwf1KGbfKKlWgYTlyMO6hoTGfmT4dwGTVKr7bs4f9L0t75Ehowh9/\ncC0uJ9b9qLWdrs2bR93OMSzOngXskHPvgw8AQLSOCWI0bWpSpP76K/Mqc7p+PUCuwwFtq1ePZ5Mm\nNcDL7t28h2TQuH6dOr74gvcVgGPTJvp4+TL1TZnCc66CX4qriY8PgHPjxozzwIHuLQC0hsdIntx1\nyuHDhwHeJSbJvn3uLYf27OGs79HD+2wk1jJwIJ+bN+Ed3n+fMb10CSu8Vq0Yi8yZOfO//jphXUz6\n9mU9xbVcvMhzuXPTt8GD40Y/tPZMlz0Rux5On+5KqVZKqczunnnan+cNxHiWXETi0h93lhOe6vQ2\nU4k3YIc32Uliy/gRFhZmy0TiTnC2xr546aW1fwcDjWltYZ0XsdRwF+/D2a1EnrMGGnWVmSQuVhnu\n2vZG4I+Lq8mTtNL4/+J68riM8nNJm8PDtePllx9xSrVK39THjyO4/vgjAvNnn3EQf/wxgrWkxRs0\niANbgIiBA2FGJA5Gnz4wRXnzAgBobTJfSET65s0RirRGoFPKBC6bNk0/Erj27TPM3Kuv2hW3woTJ\ntaQTlEwgZcrAJE6ciEl7YCBtjBuHQLhkCRrlwYNhdAsX5vdevYz/rwiOSpmUmVYQxWq5MH067S9c\nCINQsSKM9MGD3BsWxjuLBl8pAIzMmfk/SxaeHz0aDVyaNDC/48bBDFnbXbzYmEZPmICVx9KlzJ11\nfLp0wVLCGh/E4YBhnDsXAVO+f/99GJx06Uyq2B9+MPEMJH6DfCpWNP+XKmV3FVm+HGAjRQreJXt2\nE3OkYEHDKCtlYm9Y5VmZ77Rp7VYUSsFYt20LkFCpEhreiAjjo2wFT3bsoB/58rE29+41/RDg4/hx\nwAelWAMXLgCqlCkDIJAmDeMYEACQduOG3eqmRQuYZqVgoLW2B+zbsIExz56dtTBwIGOZOzfrO1ky\nk2mlXz/qczgABFKnRsiIjjZuPloDvPj6GgFRArG++qoB7ZRifZ48aYApQ/P4SBBcAatEqGzcmH0U\nHk67uXIBKE2dCtCZPDl/x4/HwqdsWYSGcePQPHfqBCA1c6ZJxZo+PSBGlizsg/qFfnnUEYevr0tp\n40mBGM8KzY4vzywBVbNli3tqRq0RxH/4wfVvf/yBpUaRIlgsuCrh4eytQYMArJIlY7+NH8868cbl\nZMIEcx4kRLFmBClShPNLUp1OmYJFhXPWkXXrOOusIM29e3agUynOtrp10b67AnTu3mX9FygAuKA1\ngn769EbbP3o056tk6Ll6FQuX/PkBSpQybhXR0bxD1arUWbEi56pYWmkNyCIWi1qzzyROhTOIIbFs\npEgmMGnrxRfpR1CQoRVKmUwgWjO2JUsagX/CBKwwJRDpunV8P3w4gLfEndi7l3EYONA1cHb9OkJ1\nunTM3csvQ3MXLXK9jpYujT3Dzs2brMWsWaHVc+aYtWAtN27g3lmiRIzESLGW8uWNJVFoKOdFhw72\nd3Q42EOTJrGnUqRgXvv0Ya4fJz1q27YmNkps5a+/TIYbf3/Axt274+4aJiW+IMaHLj6TFdGVm7p7\n7ml+ngcQwztri6fjIuLcr7j0J651xmZ9ISW2IJ8CPngDbljBCmdrDWewQwANd24czs86W1vEtKqI\neX9sbiWuLCmsArkntxFP4x/XeBnu6vAGRHgS5d/uepIAIMbzSZst0k4j38362DEE7L17ASCOHuXv\nn38ipPXrB9N56RICVJ06CCNynS4dz/z6qzG9T5mSpiT9Z79+XI8fbwKKSUDOgQNhJCTrhVIwVpKF\nRMylJ0zgWrRZEnPhP/9By3b7Nkx18eIwVL//jmZ+wQKYt+PHDRDQoAHXwcEwi0ePImhmy8YB//Ch\n6UuHDiY1pFImLofESvDzM1qdbNkwye/YEWG1WDETUNQauyNPHpgZcQ84cQKGq107hHLRyssYKQVD\nqjVM0ZQpjHtQEPdnyYLgWqECjPiUKQBQS5ea5998k3F5802ebdIEcKhHD3PP1q2AV7lz887ffAMD\nvmABwniqVGja27XjvXPmZO5SpUKADwhAU5QiBUCS1YJGKfoWFsY6ENP2bdvsQMby5aytI0foQ79+\nzFfNmoAP/v4IFrt302bx4va5cjhMgNU5cwCUgoMZ6zfeoF/Tp5tnihaFqYyOZt3Xr8+zmzaxBocO\nRUDJnt0IHRLbQtx0XnnFDpKIKfjRo7yDw4EFRoMGxo0paVKY4Tx5AAlbt2YNZs+O8LJ1Kz7/yZOb\nmBerVxuBRgJlugIp2re3xwNZvJj9LNfCcOfIwbUw+tmysRbF4uOVVxBKZs9mjWXLBk346y+Em8aN\nub55E8Fq6FDmMizMpGIVy5pkyXifvjmWmY6If5ZTeYIgxjNBs+PDMzsc7PF8+YxAHNfSoYOJpWAt\ny5YBnA0aZNdOW4WxWrXY10WLsie3bDEa+7iUb781MRwepxw+bDT6rVohVFuFs/HjWbOuwB6xYhNr\nDGuyHPn06ePSSOhR+flnzqlWrcz+iYpC0Jbz7uOP2WMSl2LPHgNaVqxoUkkLQPL558RtcDigU1Om\nmP5MnMh+atgQjb+UAgVMFiNnEOPTTxkjKR07ch6tXw/4InXLGWsF58Xyw+EAKPnvf7kOD+ed1q2D\nZwgMBLCNjmZeJdaU1vYYIe5cPayuJtJ27tzmnaQ0b24UFrGV6GjesXZtzosePQzIJMXhgI4HBtoD\nqnoqDx4AGFtZ2zt3OJdatjSxUVy94+7d0MeyZaGFr78OwHXoUNziadSo4TnbysOHnKENGrBfGzZE\naRIfqxPnkqDuJEopP6XU93F97kl8nkUQI77WFk/KRcRd/xLSZSWu1hfWZ2IL8ukcrNMTuOEquKe3\n1gVWUMMaE0NrHSNGhifXH3lfd24lzsK2s8DuztrCE9jhPK5xzWLirg5vQIQnDRr8G11PniCj/GzT\nZkvuw/Wvj9XduqGRmDHDaK6TJEHL1Lo1jEm5cjzauDFCmQAREhhSopI3bmwYEa1NStEhQ7jeuhXN\nxZ07dgE3VSqYFLmWA7dbNyMQSnpQsXyoVQshq1AhBNmICJit0aOpT9K3rlvHKzdvznu++y6CvMOB\nplkpo0XMnBnm6eBBGBPpz8GDJi6GaEEqVuT5d97h//r1YTpFW2R1Pbh82aQpVcqY2TZuDPBQogSC\nRO3aCNQ5csBsFili1w4ePmzMh0l5xqdpUwT/u3e5/5VX+D4ggHHz97enQ23WzAR6/PNPY3VRqJCx\nLlCK32ROP/gAJjkwkP6GhBgwJXFiBNSzZxGG5PkUKWC65LpIEQAu63dp06JdzpQJpjtvXpPmLySE\nfn7/vd0yI0kSBIjevVmbhQszh/nyIVRIH9KkwQRctIaXLwO6yLpViu+nTzeuMblyIaBcuABQs2aN\nqSdtWuMeo7WJxRIZCeModQ4cCIjWvz/CkNbGokWY/CRJWDvDhrF/3n4bQGrQICxc9uxhnzVtClOv\nNe8mcVfE1UaE0o0b7XvP6npSpw5zYQWrBKgTrW5oKGMsDLVSJsuJNaaKuM40a4bG8513uM6bl3a6\ndLGnYg0ORjgrVw5Gfm66gaay3r1j0if95Gizu8/Tptlx5Zkl3krx4uyH+JYvvjCxV7Rmzlu3Bpza\nu5fvrl5lL7Rpw97OmBHwI6HM4k+fNkFs41oePECAL1GCfo0e7Vo4HjkScOD3393XtX49AKI185JS\n3qVclfSpM2bYgZMPP+QsiIwERMmWDbrscEA/AgOh/YMHI8Q2aYLFnNaclUFBnDVSxHKtVy/og4C9\nRYog0EsMnFu3uN8ZxNi8GaH54EE7IFKiBP358UfosaypQ4fMPUFBJu7GX39xNkr4mtWroZMinAcG\n0tbNmwb8lhIVhRtgcDBnsqdy5Ajr0drP69ehVT4+8QPvrPFRJMuTFTTYv58+d+us4s+mAAAgAElE\nQVRGO57Kjh0muLe13L9P3Q0begcW3L7NGP73v6xByaI2cyZAlSdLiUKFjPWqlOhozt+OHTnrK1bk\n7JR1kVAlwWNiKKWOxue5hP48CyCGO9DiWbC28NS/uKRHja3+uFpfuLJecNWuK0sLV226AivcWWbE\nZl3gLh6IN/FKrHEvvHWB8WRV4jxmsYEdrsb4cawyrO26s1h52qBBfF1PniUrjSfJKD/TtFmcfpXS\nd2s30X5+MA7t2yMYao22be9emA5fX7QP0dHGsqJUKe4Ttw+JwG5NpWnGGVP5ffsQmOT3114zlgii\nwRAjkaFDud61y/RpzRp+q1iR66ZNASMqV0YoHjwY5rt2bZiorFkBQNq2RVOWNy9Cp68vgIPWxvz/\np59gkKVvmTIBInTpYph+AQ2yZaO/DRqgyfHzg7lq3RqXiVdegTHSmuCJUmfbtjBkmzbB0N2+jYZo\nzBgY2vr10Q5qbRi5du1gaBo0gOFNmxa5r2NHBHIr850mDZYw1uwkZcpQX548jL81s+XatbTTqRNg\nx82bgAjivqAU7yLpQZVijK1uCx9/bIAgpUywULnOkwfh5/BhNJCRkTCVhQqZe65fZx569rQL3tK+\nj4+9DaWMhnTuXJjra9cQvj75xNzTogWgTkQE7U2aBDPr52diXTRtCvghGUmUMpY2HTuyhgIDEXim\nT0dIr10bNx3ZCyKQhYbqR0BQly4m5kunTrzXyJFcS5rLl15iLZ46haVDhw5YTxw/Dihz8CBzumCB\nCRAojPzixbx34sSsg9BQM+8SOPb2bRM8VGvj2lWmDMKBvG/fvggzAjBa961EwRcAUSkj2Ej8k+PH\nGecXX2QdnThhUrFqzTt16YKQsGuX1nt93jCVSfRSp/JPxMR4mjQ7LjxzRAQAbMWKdg1wfMrFi6wT\nhwOBN2NGwIply9h/BQqYLD/TpwPmxdf03F0JD2dfx0Uz/MsvrFN3gqgUsXjKlSt2gVeC4spn587Y\n31ViWWTIYGi8lA0boM9//AEdypoVEMU52KXcd/y4sWrSGsCzdWtTnxUUFUsPydA0Y4YJvqyUiWsj\n18WL2zNS5c8P2FigANfWWBXNmxsgJToamiRrIF06Ezfh0CHG/+xZxqlaNYAQrRm7gACsc+Q+iUEi\nZdUqvp82LfZxvn49ZrBpSbEe32IFwDJl4twVAOyvv3jfokU9B+X86CO7pYm1PHwI6FSnTtwtlC5f\nBmBs3RrwKFMmzoOvvooJHKZJY9wJT50CMM+UibN29Oj4Z1/xpiS0JcZrz2wE/KdUvHMR+eesLaz9\njK1/8emPVViNzR3E1XOxuUfEZqURG7jhyTIjNusCawwMV9fu4pW4Sqf6uH13JXTHJe5FQlhlxKXO\np+Fq4q4/nub1WbPSeIKWGM82bbaqW7Jl07VqIbwULgyTozUMjzAbEgfg1Cnjs6+UXWMrzViF0NOn\n7S4iBQoQ0FApNP9SChZEw6G1PXvE8eMwVWnTIjjt2oUGSgS5Dh0QzFKmRBBNnRoGMUUKBLf27bGK\nkICSP/1k6q5Zk/YklkTt2vasHn378vvduzD9J07AOAQFoVFesIAxmjWLfgwaxLtLrInMmdFQFSli\n6kyc2PjSduiARcjEiQh3Fy6Y+4YO5Z2DgwFebt3iuwEDEMRFUM2Zk7gie/bw7vPmwWRfvmwsBJQC\njOnfH6awaVOAiCVL7PcoZdw01qxBI1+pEj60586Ze6pXt2sue/Swuy3kycO8rV6NhcnSpQhf1qwa\nqVLRjxMnaGPmTN5z+XJ7zIyBA2HeHzwwFivXrtHHBg2M5UHnzrSRMqUR5IsWZT5XrkSokXbffpv+\npUnDM+IvPno09wQFARYJOJckCT7k4eFGcClThrmtWhVQTtw7RozgGYmeL6BBzpwmPa1ShoGX37RG\nYCxcGOHL4cDyYvp0BJ9t23j3Vav4KxlFhgwxWVTatTPgUY0afPfll8ZlR1xJgoPNvpP+vPOO3V3q\nyy9N1hUBE8UtKX16rsXCqmxZrgW8rFSJa0nFqrXJ8jB/vtY7dzj0zZcsKJuzpPOob0+GNrv7PG2a\nrZSKNWim1qz9unWxOnscP3prefVVe1agZMmgacOGMY/uTOITsmTNGntQQWeXgO7dAVXcFYcDOpcv\nn+dMC87uZErZU566K+IaUaVKTOuP336DBu/YAY3OkoXvTp1iL7drx/zJfdu3Q7vbt+d5sfoS4fT8\neQOCWo/wjz8GEJQiAZ3PnQNckKDN+/dzZs6Zw7XEqdi61dQp87x7t92lpWlTrKyyZIE2p09vXDGE\nJt2/z3kaGIhbm9a8U2Ag9Gr2bObBOVDnuXOc982bew7iKSUiwtBv+VStCs2fOJGz6uefzft5Ww4d\nQqng7Iok1jISM8i5VKvGmeKpv40bc5+rWBzeFHHhmjzZWNAVLsz5vW4dYzBuHGdcUBB09ujRhAcb\nnQvBzd3TZU/E7kel1HGnzyWl1EGlVC53zz3Nz9MCMeLrIvK0rC3c9Tc2UCW+Qqy7GBDeWl94stiI\nzUrDXYwMK/DhLtClc4BPVy4K7rJ1eArmqbX7+BzO9zlbMzj/FhfXEm8tLBLKKsNdnf+Uq4mrPj0P\nAUITICbG80mbHzzQDkveyPVfhepEifQjoEFrmBcJVhgSwm8LF3ItjJEEf5s5k+urV9EcCLORLh3M\nmzMjJteiyRo50jBmH3/Mb76+aPwjIzG5HDbMBB4Vk/ru3bGEaNqUPixfDuNVuTIC/Z07aG+UMj6k\n8i5KwSDXqmWuhVETN5LBg40GvUULE+xwwwYY0969+e38eZhs0XhbA2EuXEgdEsQ0c2Y0Pj/8gED5\n3nsI5Frb3WnEh7pbNxjnr74yAqmVoVu8GCuHAwcQFkeOhJEVIThfPjTiiRNzf4oUCMMffQSQY62r\nQQOYu507AV9CQxm/RYsQtsePh8Hbvx/mOyQES4h06RiL1q1NlH7JtHLzJpYYMg/yqVePMRFBXyme\n698fjdaJE2j2du5EUK9fH/Bh7VqzRuTTpg2a2SNHqGP7dsbJmqbXGtCueXPWTuPGzM+pU8zfL7/A\neEqwT6WMVm7OHOMmlCsXY5wxI2DWW28h1AcGwlRu3WpiXghoIWbeSpn0jEoZNysx9f7wQ66zZIER\nHjWKd65RgzU4dSpA0tCh+GBPnQojnzkzY1q6NAKI1jDAAqi0aEH9S5ZwvezvsBSLFnFttep58017\n1pONG43xlgQrFCsUMRuXoLxSv6Ri1ZpxevFF9u++ZaYhR7JkbtNfPEGA+Zmg2UopfeyYy1d/VO7c\nYe83bvz4/uy//IKVlXPgStn3Awag3V+1in109WrsmUkep9So4TpzhdbeB2e0FocDYa5QIc8uL5I5\nJ3163n3fPoBzq4uNq7Jvnz19qrWEhwPSjR3LPs6cGW34kiXQMHG1jIhgf44eTR0ZMjDWWjMvAqg+\neAD9LV0aEFWsHrVm7y9fbuqTOZR6JHuIFAE1hI5Z6dCsWWbs8ufHHUSeadwY8GzsWNZNcDB1OByA\nvOJC1qWLHVTZto32t2/nPGjZMqZwff8+AELevN5lx9i40QQFhncky1HnztDkTJmIVZQtG66v3bpB\nFzdsoM+e4k3cuGGCwhYtShs7dzKHnTvbLSoiI6GLAtq4K5GR8CgJYTmlNfO8Z489Y5hSgGlHjjzZ\nfWotWKK6p8ueiF1Gp08GpdSr7u7/Jz5PEsTwztrin3ERcdfXJ+UyYm3DXQyIuFpfuLPY8ORW4c6N\nxBn4cAUYuHINkfs8xcCQejwF83QFhsTWL1cZS7wZA3k+rhYW7p6xAj7xWRPPkquJu/49awFCEwDE\neH5pc8GCj07DqC3bH2mwRTN84AAModZoTJQyjN79+1wPHIjmyZodonZtox2SgJa3biE8i5m+mL2K\nT+3PP6Odiooi3kThwgg+lStTx549MDy//YbALFr+wYM52JcvN6brb78N41erlnkPOfC1tqewK1QI\nBlM06AJa/PQTliLZsvFuoaEIuWfPmiCGJUrw6dGDeiWd6qhR3CttVKrEc5GRMEnTpsGs+vkZF4Y8\neQAPrMEtJQXaqVMwk+XLw0hevWqvv1w5gCdr5hOlcEW4cwdt3pUrxoJDKQCOXr3QNo0dyzj/9BP9\nt9YxZw5MnQi0d+8iMKdKxfIpXx4Li9OncZGpVIk5tgYTVYq5/OwzzKwDAmB0v/4aIMHquiJjUaQI\n1g7W7198kTGpWhXhxiqARUZSd6ZMtLNyJUK09fnXX0eTumoVz9+7B0i2Zw9CwrRpMIOffWZ/LksW\nhJHMmU3a0lSpmMuZM3muUycEk+bNqfvMGdaotKs1c6AUzP+QIWZMu3ZlD0jQWgmmJxlozp2j/Zo1\nmcsPPzQpjX18AHvSpQOQ8/FhDrt0Yc9JCtd169h/iRIxh6GhZtxFuy9BSa2xaJSCkbcG3BszBjBI\nQCrR5op7imhEM2c2AooEwI2M1PrHUZZAONaUC07lCYIYzwTNVkq5DLAp5a+/WJft28ct6J+UW7eg\ni506Qcck5tDcucxhzpystY0bWfPDh2MZVrMme9vfH8EwUybWRpMm0LpPPmE97tmDoB5XDbiUbt1M\ncFwpR47Y02Tu3euddtnhYB8VK+Y+XsiFC9CKTJmwCMqXD9BGawTVXLncp1ydNs2ePtXVu9Sti+Cc\nKRP0vnt3/rfGLujenfMxOhowUFwHd+wA0JC92KkToEb58gCTzZvzfXi4PcWolc4KmOgMYgwezO8C\nUOzYYeIfpU5t0sXOmGHA9EuX2LOnT7MOrl6F1mXMCBgWFkbMpi++QKAPDDR0S2tcKAMCWFv587sO\nximpfAMD7fEznEt4OGtVAK8HD8wZ278/dFBrgO+TJ5mj8eNxBXz9dc7MV16hjtq1WcMzZ9LHX381\nAEB0NGBxzZr0vUMH+JDChY31z8GDrBtvSnQ0+6l06YSNS2EF2Js2xYImdWr2yxdfmKDnT6IAZLun\ny0+VgNoaVqqhUuonpVS0UqqI02/9lVJnlVKnlFLVPNSRYAMVX2uLp+0i4qrfT8JlxF0b3sa9iOtz\nsbmQaO1euPfkomG1unBnLeEpBoYrMMJTthFP6VatYIQ3YI0raw1X4xtfqwxPwE58yrPmauKqb64A\np6ftevJP+F3H5fNEabPVoXbCBJv1gNYwC0mSmEBXEpPg3Dl7wMoiRdBOKWWCfVpjSwjDVbu2yVdv\nDf45ahTfFS6McLtqFQBEjhwwlf7+MCfp02MB8OqrJs3kBx8gjD94gID3xx8wWALISNvvvacfASzW\noJUNGpgo8CJUDhjAd2+9hYtI0aIIhYMGMWQ5cgAsiJDaujX3ixtMpkyM0eTJXCdLxjt89BFARUAA\nTOLFi4BC0hc/P5i5u3dps3593i91agAcuS9dOgTZjh2pO0sWhGaHg37JfSlTInS3aYOwMH++va0B\nA2BAy5XDGmLUKJM/3gp2WNvOnh0tvRVEKVECBt4q+JcpYw9imjo1PtqTJ8Ns9ekDQ1irFvNapw73\nrVsHM3zggPlOwCZZh3PnMr+7dzPv1arBrMq9AQEw/xMmMBei9ZQ1qpSx1PD1hRGuWBErgXLljIuN\nRKu3pqj96SfjLpUqFX0aMoQ1KC5HiRMzh8WLo22WzACSAUZSKYoFSrly9hgiUpRCsNEaq6IUKRgr\n2Q8rV9Lvli0R4FasAEQaNoy1On8+8xIWRj1NmiAYWfdD06Zcr13LtcS/EFcSwRisGt/One0g0oIF\n5n5x0bp5k/1kTYWcKhX/X2gz1Dws6Q5clGedNj/uRyml33rL9btfvQqQ8MEH3puIR0Sw3wcPBvxI\nloy9MW4coJNVWxsZicXQqVOe67x/H1q2fTsWS2PHIrA3aMC+T5cOcDFNGgCEevWglaNGIVBt2QJt\ncuU2MHUq6/DBA+4tWZJ1OmqUd64dUqKjoYWlSxuB3Fru3GHv+/kBVt+/j6WS0G0p+/dDp6xtu0qf\n6ly+/hqaOXIkQv6ePYA+NWvaAZVly6BH8l2NGuzRqCjOPgkNs3AhdHbfPuZo0CCASa0BIIoVM3VW\nqQJdeOkl5lnrmCBGy5Zav/ACgIHWrJGSJTkfatUycXXDwuypm/PmhQ737IlArzVzJlYmkulLMtdU\nq2Yfz02bACjmzeOvNViptRw6xLj07OkaEBs3ztAVa7l0CWuHdOlYP56sEe7do7/LlgHgtW+PEiQo\nCB5HMlL17s04ffYZwJH1nFu4EHCkc2f37TgXh4P9UqRI7NYb3pQbN5ijP/7gDK1YEZDnwgUAhgYN\n4G8KFOBdNm+OX/YgdwWW0T1d/ieJaU6lVHal1FYro6yUyq2UOqqUelEplUkpdU4p9R83dcR7YNyB\nFs+qtYW7/j8JlxFv2vDm/b2Nl+GNC4k7gMOTe4k31hLOfXSOgbFv3z6X70HdS3W2bG/aLDbcudq4\nch3xBFTEZq1hvS8uaVitz7h6/4RwA3kWXU1c9fGfChD6rDPKT5Q2i/23Ulq3aGEzJ5dSoACM6PLl\ndo15mzYIuErpRybR+/bxndXfX4QerY1QpTVCV8aMWE/4+6PpGD0aLcPu3TDhgwYhHE6dilDcrRvC\ne6JEMOGtW9OeBBRt0YJX0tr45w8fDnNYurTpjwR7e+cdrnv3ps8hIYAHBQoQuO3777EyuHqV9t98\nE8YvOBhm0hr7o3p1A/JIFont22HKRYNXuza/vfYazKPDAXNlFf6HD4c5u3KF8Vm4kHddv94EZFOK\nZzds4L1CQhAi9u83Zr7t2jGGQUEAAEFBMHs7dyKAfv65LUGNVorrXbtMhopFi3jm99+N64FSMIHi\nTqQUoIIIxQJ0lChB/7ZtQ5iPjOS6QQN7m+XKwSg/eICLSJ06CD2lSzNOFy8idBQsiJvKRx8xJ199\nxXrq0cME6FQKq5wLF2ivZk3GIioKcKR2bXPf1KnGIidpUoT7gADa+OADI9xv324PahoYaAKuSkC7\n994DSGrUyDCZkvVg0CDW7LVrfJ8oEebNkZE8I5Yd27ebNpo2ZR6UMsKL1X9/0iSz3qtWRct+9y6C\n2YwZ4AKffMIaW7AAYLFtW+5dupS606aFsV6+nDUo8TDE5UqC727bxvW4cVxL+IodO/QjAKt+fdO3\nGjWgF2vX2o0s5Dettb5exoJ4ia+Li/Ks0+bH/SildGBgTJDi118BSj/80DOA4XAAZk2ezNpOkYI5\n7dsXLXNswkuvXiYN6OOUyEho1v790InJk6GpzZsjKGbNaoLz5ssHrWzf3iyBVKkQgFetirvFSVQU\ntK58+Zhm+9HRgObp0rFXJEvJpEkmpoNzsbqVSPrU1q3du7KcPg3dePddaP3nn7O3RoywC9Vnz0I7\nJKDvuXM89+ABz5QpY0DogABAp27doB9t2hh3lCFDTKyms2e5t1IlxlTOWWcQo2xZwA6Z6127aK9+\nfWiuv79xNenUybiz9ejBe9y6BbgjKVgnTjQBS8Vt8dYtzj9n96ANG3jvPn04z9wJ8jdv4gZSvrw9\nGOvly4Y/cFf27uWMKVXKjG9cyp07vNuSJQBRbdsyPoGBgD/W80opE8PE2+JwMGf583uO0+JNGTHC\nuPhGRzOHEvhbSmQkYzJ0KO+RLBnrY8IEgPrHiZuBQsM9XX4WiOo2J0a5n1Kqr+V6vVKqpJtn4zQY\n3rmIPHvWFta+Pw2XEW/a8KYeb+JlhIWF6dmzZ9usXdy5kDjPhTv3Eq3dx6iwWmZojesIgutSjzEw\n8uVrrxMlGq/z5Wuvw8LC/n6utX7xxTVuARFX6VYfx60kNncR5zXrjbDtyZrjcQR2b11NnpWsId64\nniSUlcbzwig/EdoskQuVQorR5nLLFhgoua5WDS2EUgiUZvwANxwOPhkycFBqbY+MfuiQMW+/fRth\ntGVLtGNjxiCwnj0LQ/vTTwjCx4/D+ERFIew2bYpgKO4ckqmkRQvaW7XKCE5WQOa117BwkJSjot38\n4w/DRA8ahEYjOBgBtFAhGPHatREgJQ+81Ll0qclEoRQayogIY1mxYgVCcrJkMKCFCvH7smXGSuTt\ntwEmWrRAAFCK9/P1RZgfPZrx2bkTH+/8+dGCZc+OWbI1U4VYhSjF90eOMBfXrpk0nAJ+LFqE8Omc\nBSRHDpjkQYNMcMaxY+n7jBkIyZ9+CiDy/fcmJsZXXxnLiIwZmcevvoKpFReDadOYv5QpjduCjw/j\nlTs3cxMQYO9PixYIQk2axIynkTs39YnLQ/78tNW6NevlvfdguAYPZhyKFuW+ChUQxAsWtNfZtCnj\nuG8fgNCFCwgF1mCk331ngmMqxX6IijKpYo8dQ/jIlw8QZvFiGOLPPoOJffttzPMjIwFgJMNOaKhx\ntxg9GiFBNICNGwNQiJVU3rwwr+LO9cILCCX37zO2V68yBpMmIdSuX898nTnD73/9ZWKlpEzJc337\n0hcJfiuAiqRaFTeYV16hv1FRZgysdEAp1o81y8snn7CPlUIbrrXWD/3SmBusNuhO5XmhzfH9KKV0\nliz2Ifj5Z/aQs5uFlGvXADbbtkU4z5CBfegqg0Fs5ccfqSM+ripxLQ4H/Tt61AR2lo8rFw5vSmQk\nNOK112Jaehw4gFAr7mJSdu6EVrnLPiFuJcWLI8TOnOle6Lt7l/1YvDjnRseOCPsSuFnK/fvQUEmL\nrDVWB71721OqSn0S/8PPDxC3QgVi7GgN7RRLrt69AaIkFfcbb/C9M4iRNi3WLU2acL17N/Rp5kzA\nyo8+0o8sgo4f5/6ICAAISas+axY0QsZCUsdevsxabNEC4DJ79pixW9atYywrVIBWurOYiI6GzqVN\na4J8t2yJpVxsJToaMD0oiP7EJw2rqxIaCu+yaBF1y5pt187EIPGmSMDvXLmMpUtcy4MHnE1WenH3\nLlY8Y8a4f+7WLfiOjh1h89KmZYwWLXKdmthdCQsTl1X3dPlZIKrOjPJUpVRzy/UcpVQDN8/GMgDP\nV0BOT+/xNF1GHqeN2KwqXN+7RidOXOcRkOCNC4mn31xZZ3h2E1mjs2Vr7TEmBoL3ap0v37teuKbY\nLTQSyq3EW6uMuLqIuLLmcCWwP055Gm0kVImvlYa3oMbzwig/Edp85Yp2/H0qO5TSnwy6+eiQLlXK\nbn4vbhk9e3Itvu4CdEjAz549ERy1RhPu4wMjWawYzLJoh0NCYATKlgV8KFoUYa9oURhyPz8O/pw5\nYUjPnDGCnlIwoeHh/C/mtQ8fcp0kCUCABOwUZmPMGPP8oEF8160bmq48edByTJ2KSfTNmzAH5crB\noIaHw1hKlhalYCgkWOKIEdQ3ZQp1pU1LHRkyIJhUr27uuX3bzsRLOrTNm2GwjxxhLEqVst/Xty9j\ncvMmYE3jxlg2zJoFEyz3NWwIc1K6NGDKxYvmtxIlAH8KFkSQ9vWlrfTpYVrF5UEprGaGDzexGUQD\nuGwZTGm2bIxHunQwv1rDrI8ZQ91W312lEJpXrYLh/OYbAzjdu2eCnsrn00+p48svY9YjAU9PnYIp\nGznSWLVYXV9efJFnv/+e+gsXBoyKjKReuW/iROoTAaZ9e+bt7beZz7x5AR9u3UIgyZED8+ry5c16\nEKFhzRpAvZw5We+vvWbW88aNaDCjoqhjyxb6Y439IdpOyf5St6593ctaWbGCa4nHsmyZib1Ruzbr\nokYN3mfpUsazcWO0c3XrAko1b868STDVNm1Y57lzo9GXYH2yxkeO5FqC+Mq4SdphV6DGu+/a3ZOW\njDOL0fHii8ah3UV5XmhzfD9KKd2uHYCS1kaAFLN/rVnTGzZAVwsWZA/VqwcoKC5kj1OKFDFC8ZMs\nYWH0OVcuQL7cuRF4p02D5sc1G4q7DBBXriCgBQUh1FoF5itXGN9169zXGxlptO/z57u/z+Ew1kop\nUhgQ1VVqy3ffpa8yV/fvA1KeO2dSqjoc/JX/5841MZ2Cg4lDcecOwOK9e5x1ksI0cWLOyFy5uN8K\nYjx8CO3atQuwRWsTA+j8eUCXe/egdwIclCsHPbl/n/Zu32Zc8ufneykSV+X8eeb000+hOZKq1VpW\nr4aOJU2KMO+pbNhAv156iffwQCJilNu3AXf8/QF2xAUxIUqtWliuXL8O2JwhA2fswoXeB90dO5Yz\n4OLFuLf/2WfGms1aLl3i/LbOjbvicKBkmD6dc0Cst/r3x+rO03ts2yYWre7p8pMmmJuVPRqzRGiu\nY7nnsRjlDz/88NFnm9gh6tiE8mfTRcS5/NMuI3Fpw109ntwa7AL8Gh0SEhLDpcKVq4in39xZZ7gC\nC7yJkREbYOHcL1cWGp5cR2KzoIiPu0h8XURiE9gTwmLCUxuPE2T0SRZvrDQ8xf7Ytm2bjU49C4zy\nP0abo6NtPiIryo17ZG0h/r+SyUMCi4lAXKWKCYCpFEzj7dtYFOTMyW/vvMPBX64cAt+MGfjH1qtH\nULOaNdEYt2mD8BYYiFDWvj1m91FRACKSplFM2pVCcNLaRJifOdPuViAahokTcQPRmjaVgpHNlQvB\n9vffYa5+/BHBctgwhPZjxwBuRIMvgoXV7F+Ckf32G8zWjz+iyS9SBHCkVSssKpYuNfccO4aLQHCw\nqUcphM5t22BUsmY1/RezfflUqcLzkrZUKcY7UybMYdOlQyhOk4Y6K1fGymDoUKZ7yRK7oC/ZNrp1\nwx3C4TDxGTJkMH63ViBC3Gbk4+9Pn63C9n/+A8O2YwdzWrQo/c6bFwZVgkJmz05f33oLIc7hQBif\nPh0mukcP5ksC6kkAvd27abdrV+5t2dIep0Epw/wuXsx4HzvGnFvHvkUL5mXpUuMSkyEDgMOVK6zJ\n+fPpp9YwyBJXwuEwViVKwUzOns3/4iWRNSsCTIcOABzVqqEBK1MG4aFSJeZA4rHcv2/AOB8f6vjl\nF9NG9eqsYxG0xCS+SRPa1pq6U6Sg7fr16WeVKoBo/v6s+ddeg+ktVQoQrGxZNKljxrAvCxRg7rZv\nZ/yTJQOM+/NPk/bx0iXqLlSI6/r17f2VOTt2TD8C+pbmHmxeJnFimxT+LM7ea1wAACAASURBVNLm\nJ/lRSul581gf+/cDYC5cSCDI0aPZB9bUp3v2JHzq08mTjSXbkyinTuHO5OsLuLp9O59UqbB2kv3u\nzvLEVQkPh6bXqmVcZh4+ZO36+0OzJIC09ZmyZT0L0H/8Aa2rVg2XCisddi6yz+XTqZNrgfnLLzlX\nrCzU3LlYTVy4QH8vXcL6Im9eY1FSsiSCv4AQkZHsT7GQW7QI2n75MmN5547ZTlYQ48wZ3NYkoLLW\nuBpIQFHJ2LRoETQ6Opo1WLkyv1etamIDffcddVnf86OPAKR27KD+RYv462rcrLGFNmxwPw9a28/Z\n2rWhwXGxrjhzhueyZYNePi7Yt2YN82gV8iMjGZvKlTnTBg/2zspiyhRjsehtcThYHxKc1bkcOcK4\nW4PIelMkjs6gQYBcyZOzryZPZu9ax23sWIlz5Z4uPwtE1ZlRdjZZ3hAfdxJ3cQyeJRcR5/I0XEac\n20uINuLqeuKNu4knV5G4upFoHdNtxBlciA9gIe4gsaVatd7rzq0kLqlVY3PDiKsFh/OzzgJ7QqVl\n9dSGK2uZZ8XVxFrcWWm4AjXcAU3PC6P8pGizzpPHcAuVKz9yMejTh5/37DE/nzzJd6J9FiElb14O\n+J49jUvJsWMIzr17w8Bu3Mghe/o0B+V338E0XbrE7w8f0mbJkgiOyZMjMP34I/U5HHYz9q1bqcsq\n3G/ebL6rWpX7792DwfjxR5iGDBkQumbNgkmdNAkzy4ED6UuWLAjxYnp765Zpo1YtfrO62YgFyuzZ\nJmNEkiRYS2TJQlti9fH++/rv9WiCx/Xti8A4YQLMYP78vH+BAjBtRYpgMiwxKbp2pT6r4GvVgs+c\nCfO2d6+Jc6AUc9G5M+9gnXKl0MIcPMg8igvLn3+iXZOgq/ny4U6QPj3jLDEbRBZdvRp/5wEDqL9c\nOTTwU6eyhgQECA+3Z0mRT968CM+dOtnTzCoFc/jRR4yVxDGxPte+Pe9dtiza6nPnAM3eecekAS1a\nFFCgXTvat0bTt75LvXoIHA4H/w8ciNDRrJk98N+tW8ZCQcbQCuJERiIQKIX28fx5GMOOHRmflSuZ\nw1at0NQ2aMB4yVpSylhZSHyXlSth5l9+mescOZinu3cBLURwEMuZxIkRcq5fZ60UKcJ8XL3KWEya\nhGbtt9/o+88/I1SJC8rDh4xvly7sea3pa9asxsx8wQLzzpIeUtLfCr2QFMtaa+NfJJPioTwvtDm+\nH6WUDaB69VXGP1cu9vm338YUxhO6XL8OKJWQ7URFsVarVGG/DBpk4lH8/jtry+pycfYs733hQux1\nP3gAfatfH1ricJhsQ3Xruo+d0K0btM+dK8OOHYB1H35o3GsGDmR/OMfOOHzYToPchXX56SfOPLFS\nk1K8OPSyYUOAvR9+4D7ZL99/D9AaFcX7ZMnC9xKjQmvAliVLAHMFkAgM5MywghgbNiBkS7rnsDCA\n9hIl+L1zZ4RThwNAc9489n2qVAAB48ZBk6VIylVr+fBD6MSUKcxDmzYAwq6KWJAp5dpqRWvaDQ42\nsYcEqPfx4Xzs2ZP14yqmiXNZv55nq1c34xvX8vAhYMj69e7vOXkyJljnCTj59FPOUm/7JDGxPNW5\nfLmJYRXfcuMG7l3t29O/DBkA4JcsgVwvXOiZLj8LRHWbUqqo5TqPInjcy0qpzCqegT1dCZ7PorWF\nlKfhMmJt63ECdj5OPd66mySEC0ZsbiNau3Yd8RawcGW14e752Prtze9xcRdxZ8ERF4sKT1YgCWUx\nYd2T1vd/Vl1NnIsnUMNdn58XRvlJ0Wa9fPkjTsHh46N1eLhNKBZ/eNECOxwI3MHBMFcPHqDdatbM\nRCrv1QsGMCQE097WrWFwevXi/5o1EZbTp6eNcuXQdNy7Z9emnz5Ne7lyIUBqDcMnv6dKZbKcvPCC\niWzeqBHfdezI82PHYo0QFQXAMH8+gMPFi2hE+veHib51i+8kNsPp0zAwffuaNn/7jTbWreM6fXqE\n7lu3YBbHjAG4OHAAywqlEKgPHLBHOq9WDTAgOpp3aNyY/m3ebM/0kT69ETB270YomDuX6+hoIyAq\nhRnvvXsIsT/+aNLiWsGAVasYw7VrEZoPHwY8ypDBfm94OAJwlixY0AQHI2SMGMH/hw/D6MyahXDu\n7w9QMneuyXCxdy8aU2u9fn7M97RpACd+foBHP/xA38RCQz5t2yLQ9e9vXCzkI2bh9+4xZlWrwqRH\nRcW0YBk1Cub+9GnWzebNAADDhtnvq1gRreWiRTDmDx8ixI8eDfiweDF1Z8xoLDqqVaMfZ86YepYv\nN3unTRt+79YNQaFQIQSqxo1Zb76+MLW1arGGM2Y0wVe1RmurlAEpmjY19Voz7UiR65AQrgUUKVWK\nsZkxg7UqAtakSYxz3brM74gRMOSffMKYSvrYQ4dYW3Xrsp/DwmCaBTQRYa5IEa7v3TNxV158kYly\nvPqq6eC337qnS/r5oc3x/SilYlgPtWyJoJdQPv3elHr1sAB73PLnn9C/jBlZawsW2LX2Dx8icAsw\nai2jR8fMbuFc7t/nDGrUiH1y4gTrM3duz5r9hQvZT+ISaS0OB6Bb6tQxhVSHA9resKEBP6zpuZWK\nCVBIuXOHfskelnLwIOOzbRs09+pVAF4Bw7Xm3BKwYuNGYxVRsCA09eRJ+hsejqWHBCEuUQLA2Api\nzJxpMovkyYNyYf9+41qyapWpf98+9vOdOwQB7d6d98ua1fRNgE5rgEqHg/M+f35o2muvAai4G5tv\nvmHsXnklpvXKTz8BJsl6/O9/ObMDAgBY9u2DZpcti5VS1aoALceOuV87ERHQsoAAzpC4pjsdPRqL\nSm/K7dt2t6lZs9y7w3zxBYCeBEb3VKpU8ezeJEViWMXFBcddkUCzkyaZM4iPe7r8TxLT+kqp35VS\nD5RSfyil1lt+6/83g/xYKVafZdBCytNwGXFuL74BOxOintgEdanbnRuJtW13vzkH7/RkHeEKDHAG\nNtzd66leARucXUM8zaknt5O4jqG7OuNjUeHKCiQuMTe8Lc+jq4lz8YbmPOuM8hOnzWI6ISfU2rWP\nUlv+/LM9+KOvL2DDr78ifNaqhYb85EkYj0mTMA0+cADGbN06mIw1axBc79xBKG/XDt/Ol1+m/ilT\nADe0RriU9iQg25AhJtBlxozmd2GA5LpNG+qTNJcSqDIsDKbq9Gm0GWJ1sGEDWsB06XBfEU3y+fOm\nzqxZYfKtsTCkX23aEDehUyf69cUXMHgipGvN+yvF9ytWwIhLHIk8eWBMQ0JgQCV6vHPMDKVgOnv3\nBkDy86Ove/YgkF+8iPWBuO106ICG/4svqPfiRfro5wcg8+efWBFMmIDgPWNGzKwhSiGMVq5srk+f\nNpqagAC0/yIonztnD+g4bhwMrTUeglVQmzsXQKhuXeo4coQ5TpcOawFxv5FsGMuXIyz37cu8r1kD\niHD6NAJTvnwwcPXqsU6t7QmYdf06oEy/fmgKfXzs733kCFpFuZaUgCVKMK61atF+UBACWrp0CCri\nAy4xV0JC7C478g41a+q/aSia5IgIAJqePRHsevWCea9SBUb04EGAA9l7WrOHlGIda20PNFq8OIy+\nXAtTL1mEJOBupUpoZSXGSdmyjEeOHIxt/vzE8fD3Zy+lTg0tKFECptzHB4Crb19AqhQpYNp37TJ7\nx9+fuiWoZ6tWGp8d6VyuXLHaeD/rtPlxP0opffQo+7VfP+jlhx8iMPj7Qyvfeot1vW1bwggmrsry\n5QRdjG85fBgQzMeHv4cOub7v3XdZL66mPSICWigpuJ3L3bucLS1asI+7dYM+TJ7sOi2nlGPHjBuf\nc7l1i33oLpaF1uyH8uWhvWJZpRR7ylU6V60N+CGpla2lXTvOTEmp2qiR3WohLMwEa9bagBBiMRMZ\niSAuwS5HjDD/N2kCXbKCGH36mFg2tWphIXPggIkjFRYGGCBuLM2aAXb/8gtr8N496N25c6aP1pSr\n1nfu29ek6M6e3ViAuCpLluhHAL+U77+HxlsBHcmMMm8e1hCdO5tzPzSUM7VTJ35LkwY68+WXANHO\n5do1rPNSpwbY9Sag7aVLJn5JXIrDgbVp/fqcux984NpKaMkS+uNuz2gNwJ82rXdxNxwOeJK6dRM2\nYO+hQ/BQmzZ5psv/OFF9nE9sIMazWJ62y4hzuwll4eFt+lTn9mPLWOLJVcR6jzNQ4fyssxWFqza9\njYkR272xucO4cx1xJZB7cjtxrjs2sMN6f0JZZbgCbxIyZerz7Gribfm3M8raG9rcq5fhztq0eRTc\nUZifnDkRmurWNX6hpUoh/Pr7I3Dmzw+jXaAAAlCmTAjRefJwv2jcv/mGAzlJEqwn/voLgcjHxzAn\nkgVk2TKTtUMpvj98GEHaz88wnlbLBWHoGjaE8cyWDUBh+HBAhyZNYHIWLUJ4kzSF8nxYGNoHue7e\nnfqsLgeBgQisN26YSOqrV8NEiWa8VSsYQNFKi6Y6MhJmKksWBNa1a9FcSRrPIUOMUBkRAdOVJw/A\nwbBhMPJWAT1/frT4K1bgOtGxo/33tWsR9HfuRNh2BhTSp2dc5s/HDDVdOpjC1KlhsqdMsd+fMiWA\nj/W7JEkQzBMntn9fvjzzFR2Nz3ezZoBGs2bBvKdIYb8/Z076sXUrGrlevQAD6tYlxsb48TDhISGs\nTeuz2bIhJEmfAwNhIkNDTdYS6/wNHsz6qViRMc2ShbUgWT+UQkCS4LFKMdd16jB/bdvCUOfNC4Nn\nXTNaM89y3bWrXYP7xhus9StXACf++IP1Mns2oNnWrYzp3buAMtWrm9glEhdGotHv2MEzDx+amC9K\nsT9/+YW+KmVcUyQjT1AQ6/P339GIpk3LeAkg2bQpgvXWrazhOXMwrV+5EoFXNLLjxyMcBQVR15gx\n0AAxcRfXq2HDtDGRkoUeS/m302ahyytWAFxZi8OB4LRwIdro0qUBnvLlwwJq9myEm4SIkREejtDr\njTuH9ZkFC1hnGTIAMHvKjhISAm7lyW3l4EHojnM9YWHQklatADhTpYI+xpZZ4dYt9saCBTF/O3qU\n37p0iT34482bnHuydFu08Iy/SXwm57SsN29CP8eMIW7N5MnsLWsq3JkzTaYQrQ0I8fXXuNFIUFCZ\nq7ffNrFw+vUD1LCCGI0acdZpDR365BPG2erJVaGCsWoTBcVvvwG6fv4558OMGeZ+55SrUhwOAA5f\nX+i1UtALd+XTT82ZLTFhJM6U831lyxrQqWRJYxFpLefPc7Y0aMA5XLAgZ8imTXbXkyNHAPwLFzYp\nrt2V5s1NVqX4losXmZvAQJQ3q1fbAYZVq/jNmkXHWlq1Yn95W8LDOdd69XqsbtvKoEHGxfh/IMY/\nXJwF+KfhMuLcfkJYX7h6F2/q8daFRGvvXCrcWQHElq3EHegRW0wMd/fK985uJrG9h6d38GYMrO3G\nNd5FQsS5SKh6vGnneXY1cVf+7Yyy9oY2W1JbOFKm1DMnPdS5c5tUqjVqwDi//joC2IQJMEPt2iGL\nNG4M89S1K0xB+vQIeO+9B9OmNYzQ5MkwOpKSUimEP61hUsW6/Pffze9ZsqCJtIIMWgNQvP8+/0vA\nwiJFYDanTIHBDwpCk5w2LYyevz/96N/fZIiQ1HVWN5WAAN5v/nzjUvDwIYJl7tw8X6YMwmVICAL0\nvXuY2FrNLvPnx+pAAhvK+3z6Kd+JW4PWCPuiMVcKS4UrVxiv4cPRbklGGKugLVrBunURdJxTkYqA\nX7YsDOC778Z8dtgw6j59GusGh4OAqJkzIwhv2MA4VKiAyfe1aya9bJMmCNvHjqF9k/qXLKE9X19A\nkW+/5X0jIxGW27e3W0yUL899DRvSjtXiRimY5pIlARHatDFMslJ2TeaUKQAxR48iHGzaZNwvlALQ\nEjeHFi1geAcMMJrWhg25/9w5rCGscS5mzeK5desA6S5eJNbEw4fGGkRcR3bv5pk+fXgvq9uHCC09\neqBR1hqholMnmM/Tpxn7Y8cAxoYMQTi4f59rX19jPl+lCgCD1jD2VvDN2ndh4gUEEaFF4pM0a8b1\nsGHs++Bg5vW993iH1Klh/lu2RJCsWZO66tVjb738MnuqSBHmtkkTk10oSxatF4Xc1Q5B6pTymFpV\nyr+dNgtdFm14bJYW4eHQienTWWe5cvFc+fKsjyVLWJPxCWL4/vu4g8VWLl0CAEydGk37ihWxAykH\nDiCkCa33VLp3/9tq5+8SGgpdy5GD/VWxIrQ6thIdjdDftWvM3z7/3AShjK1IfA9ZtpJm2F05fNhu\nQWYtEyZAp4OCoEOBgfZUrw4He88avLFRI4DZd9+FJs+fb89Q8dprJrvM7NmAGlYQo1gxXDC05kzr\n2hXQtUgRU8fIkQBlUgYNgjauWYN118KF7HNrcU65an0Hgj/ykXhX7kq/fubeNWtc3yN0ZdEi4x6a\nJo37IJdasyb37mVNlynDPpE08cePsz4k4HPTpq5BkV274GWc0/fGtzx4YFxZM2eGft68yW8bNrAe\nLPkwtNYmZpgrVyhP5cYNzmOxlHzckj+/AVn+B2L8g8UqsHqT2jUh2xVNdVytJrx5F2+Do4aFhenZ\ns2fb3tudUO4NOBKXtKrO1i7euJ6EhYXpfPna60SJxut8+drb7vfWzcT+vT3dqqd3cK4zrm4l3lhE\nuLPK8OSSEpd6EtIqw7m9593VRMq/nVHW3tBmh8MWBfLw0NX69ddhtk6fRrj6+GMAie3bYZCOHEFI\nCg1F4Jw1i/ujohB0qlRB05U4Mcz52rUI0lqjjRfGZft2vps6lfp79zYxKZQyvsgi/1SrBoNy9SqH\n+5UrMD8VK6IR/OorhNglSxB4p05FGAwMRAj29TVZFObNgwmMjoaxlTZFAJPgjhKYs3JlxiEgwKTH\nS5sWhko03Q6H3SJBtIq7d9OH6dNhQsVUPFky5Lm7d+1ZQJRC8C1QgDFp3py+790L01munNFkpUmD\n1kWE419/tddTqhRMksPBu2bOjGDhcMDgtmxpv3/FCpg6iaLepw8WIZGRvHP69DB47dvDJH32GWMi\nGs+8eY359sWLvKczsDJkiGEcx4wxptf37sFsS3aVVq2oTzRXZ84g1Lz+OnVfvsy9W7YwTiLAv/EG\nAEP27KbN9Om5x+FAECtZkvZy52Yc+vRhXB884B6r8CJBbENDqee77/iualWEk4oVETjmzQMwEDBJ\n3lGSAGXIwNhdu8Z8XrrEnCRJgmC4ZQvayDp1qG/cOOZ+3jzmo04d1sXVq/Q5Y0aE29u3eV4pkz0l\nLMz0P2dOY1WTOLHZ+gIkifl6zpxcf/MN8y3aw06dGBcfH9Zdzpys7RQpWEtZs7InUqcGCOnblzWQ\nMSNM+5kRX5vO5MnjmR79Xf7ttNlKlytVQkMb1xIaijA3ciQCcurUfOrUAdzdtMm7GACHDhlrJOfi\ncGDx06gR66VLF+8DEl67hqAoGS5iK3fucBRt2IDgFhho9s3Spd4DNMOHI7xaTfDv34dm5coFuO2p\nhIYCGmTJYpbtzJkAse7ib/z1F7R1yZKYv0VHQxMqVgRcyZQJNx5r2bePfWQNPlq0KFYKWbMifIs1\nlJRMmUyWi02bOM+sIIY1fsXKlVhNHT5sAvVqzdznzm2u79zhXNu7l/27bh1ns9Vtx1XKVSkOB2tE\nxs05EKiUiAh7GndPc7J7tx1Q2LYNfuOjj9wHa7WWW7cY7/feY46CgrDOmz0b60U/P+iWgL1RUYDY\nixfHXnd8yoEDnG0+PqzJo0d5p8BA+/rq29c1EOdNOXOG9bply+P19cIF6pEz+H8gxlMu7gGEp5Pa\n1RXY8DhgiTtXlNgEX9OPNTpx4jq2zCCx9dfVmHgDVHibrcQT+IBlwWqdL9+7LkCJ2N1MpLhKt2qt\nyxNIER+3kvhaZTyOe8bTssqQtv4Nrib/dkZZe0ubRQJUSofWb62zZOHwHDECwb17d4SpGTPw73z3\nXZjEtWsRePLlQ9jcsQOByBrE8vRpu0uJ1kZbExJC8DK5t2hRtFMPH8L8SlyC/v3NPZ07wyh164YG\n8vJl2ps+HSZN0rWOHUsd4eFYiIj2PmlS6oyIMHWWKkVbHTpw/dZbCIFXrnCAf/89DFOPHph2SorZ\njRuNgLp9O5ql4GB7TISBA2Fwv/qK3y5fhnGsX9/coxQuCtHRgBC5c/N+u3Yh8FvjTSjFOEZFMe5z\n5tDf3Ll5hyZN8K3fuhUBf8YM5MaSJQFllGKsWrVCyE+RwrjwKIWWPVUqPtY2ly+H0XJ25XjlFVxl\nNm82vs5KmeBrOXLQJ+v3SZPCBL/zjrG0adcO5rJBA6NtdTiwzJAAogEBCPanTwMkfP65PbVukiQw\nhUuXMsbZsgFCORxopwoU4L7MmRGwxH1ixgz6eeMGTJ81dWrevKynpUtZH+++S9969WIM/f0RJFKl\nwnKlZ0/aFcFAQKXy5WGKJS2waHXld3FvGjqUtSGpE/PlQ8BJn569FhTEczVr0u+ICKyCpL8SV2Dp\nUjSpDofdHapcOYAzsdwYP577T5zgWtb2d9/hOpQqFRrDlSvZJ1mzwmh/+SXCsgQfHD0asKNDB+Zr\n4EDGyN9f6we1LEiWpzyXlvJvp81Wujx2LHTtcYvDwXpauhSSXqECezBnTtaqBNR19q93OKARVvP6\nu3cR8vLn5/mpU+OWxSQyEroycGDc3mH9ejt9GT7cu0wU1ufTpoXOShHLqiZN7OlOncvPP3Pu+fpy\nb+/egEJCj/bsgRbs2mV/TgBvdwLnxo0AAb6+WBUI6G0tbdty1lqLnx/zlSoVfUiXzli+REZiASVz\nefYsoIaAGGFh0EMBfo4dY46PHGEspERHc7/VGuHzzznfR47EuqNIkZjv7CrlqnU82rc3cyjZuKSc\nPg24WbOmySiWKJFncKx5c/taunSJPtaqFXdLhXPnoJ316zMvVku5L78EsKpQ4fFTs8ZWrl1jjNOn\nh/537UpfVq2C9vv726114lq2bmXtiBVnfMrEicyllP+BGE+huHMZcSVwPalgo57AhviCJY/jiuIM\n4ISEhMTLhcRVP7wBKqzPeRMPIz7fe4qLEVu/YgMpvB2X+FpWOIMC8QUfnrZVhrVNb1xNnjUrjX87\no6y9pc0SQVAp7UiRQid76aHeuhUGdulSDvuVK2FK//qLg7FdOxgvh8PkShcXD2v8BdEEtG2L+brW\naIfk9wIFADOcGZ6pU9Euao0AnSQJ7Uowxd9/hym8fh3G8uxZmNcjR2gzMBAhXkwqrXnqL160x0kQ\njUtEBJq6V16hnVOnMAEtWNDEB4iMhAH79FOekTgD8hFf7UmTSJvYsKHJ3tGvH1owMR23xvyQ+B2/\n/orQWL48jLQwiSJkKgXDfOMGVii5c9OnRYvs76c1QEizZjCqX39t7+cHHxDsMSqKj1i2OBxo4STA\nq/VToYIBAuQTGMg7lS4d8/5u3UxAsyVLYFq1hvHeuxetpPMzKVPCrOfMCajl/PsrryBIV6rEfFt/\nEwb/0CGE/VmzsLb49lt7etYUKXjPkSNhxNOkwaKkYkWAnYYN7XVa0yreuEEbxYtzPXEizHemTLxT\nmjSAfv/9L20IwCDWHNY5Hz3apB2UtJMNGwK4jRzJOCVOzFqqUYN7a9akP+nSYR3RsSNxP1KkIM6M\nZPUpWNC4aF24YNr88EPGRq5lfYkrkDC8AujJOm/RAmZbTMtr14bhnz0bJrdwYUCuypURJHPkANhK\nlfSOdljNk7xU4//babOVLh87BrD2JISmyEjqDwlhTgsUAEQsWZL9uWABtHPMGObx7FnjjlSvHnMY\nn3716MHaj0uAQYfDTsfimi5StMZWMGblSmjU1KnuLU02bUIYDgwEMP/9d55LlYrzxFo2bYr5/fjx\n7EF3wRcFPE6eHDrpHIz0r7+ge9Y4H6GhnB9z5uDy0Lkze1fKL7+YDF9a0/bLL0PDJfOQ1cJCQI0j\nR4yrqJSmTY1bmtacF4ULY73l44MFg1gkOr+XO0uL6GjjOir9dDigyQEBAOkyH2+/DVicNq178iBB\nNq1CfUQE51jmzCga4lMiIrD0GDIk5lnz1lucn23asHc6d6a9Pn0AVIYNg4ZPmMBYzZoFALRgAeft\nihUoejZvRsmxdy+0+/hxeIvz51lrly9z/lgzUAcF2eOjxLfMmQNvIedWXEulSvZEUv8DMZ5w8eQy\n8jgAQnz78LhxL6S++AYCjUvcDHfWFc4lPkCFtX5v4mHE53v5zVVcDE/PxPZOzs/HFsDzcSwrEipQ\n59O0ynDXrrOribhsPUvxM/7tjLL2ljY7HLZUEu0CvtXnzsFUfPklmhsxJ//jDzQV2bMj+IaHGwE7\nUSKYVquVg6ReXLuWa8kMIb+L0CQpKgsUQLC6f5+D/IcfYGACAtBWjB5Nv1asQIAbMAA3k2+/RaB8\n803q++or0ycRbq3ZJ/r0QbMoFgcDB9L377+HmR0+nDaXLUNwHDAAreatWwj/or2SoGRSb6NGRnDv\n2hXXh5MnAU3EVaZiRZjKypXt7hYFC3KPBCXLmJF7b9zg79ChRvAPCkIwrlgRRsUaPV8ykfz6K/O0\nZAn/J0+OsNyzJ4xlvnxYmCxahLA8dCgMT86cfP/LLwA38+cDKNSqZSK/N2oE06Y11i958vDd4MGA\nWYcPI8hLPIuhQ+nbd9/BDKZKBdM2cSJrJEcO1s2tWzB2c+fa4zoULgz4FR2NlrhzZ95hwwbmrUoV\nBBBJf1urFmOVPDljlDQp3+/dy3sPGWKClCZNCpgxbx7a1oAAnpWYFUePmn6UK4cmTynGJioKhrxp\nU8Zt6VIYvzVrmJecORnbsDDW4Qsv8OzZs/agtMLQv/gi17dvI3xmzQpAsmcP63fAAEDFSZPQ3BYo\nAGMtWsXoaPZCoULUefs23ytl3Jv27DHtpk1r5qZiRX6XwKQBAdRnjcNy/jxzlDw5dffvz9pOnZqx\nyJoVBj5TJgSm3sGLzcP588dOi/4u/3babKXLDgfz4CqDwZMod+5ggU91MQAAIABJREFUNffxx4Bm\n6dKZKVIK2vHLL/Gvf9Ei9pP4/HtTjh2zu9QFB3sODOlc7t9nzU+cyHVkpEkf7UqPdO8eAFyePNCD\nkBBj8bF6NWeAu6wRK1YAVp48iQAsWaJcFat7X4oUruMvTJqEpYG1HD1Kv5o143dfXzuos3WrPbuH\n1ozZgQPs21WrDGgsJSAAeinZjaTMnWvc0KRs38758+abgBUlSsTst6uUq9YirnJKMdZ16kAznYGK\nQ4egF/PmeQYyRo407qDW8tVXvFtCpAq2WkhKBpy5c+n/1KkoUMaMgT8YNIi90r07LjTvvIOyRlLz\n1q2La2PlysxVyZK8f758nHeZMrH3AgOh0dawQfLZtu3xwc3evdlb3mQ4sZabN1mzVkuo/4EYT6i4\nFvRjuow8/T48XpDQxwFE4hI3w5N1hfN9saVcjUu2EimuYlx4+j42sMJd3A132UgSyq3EVVtxEdwT\nEnzwZBnyJC0i3LmaPE3rEG/Lv51R1nGhzX37Pjo5N6ZuqTdvRojr1s0E6GzRAmsB8YlVygTk6t6d\na4lzsW0b11WrwmRkzWoO5suX7UK3+G1LEMbWrTm4x483zFVQkGE6Dx6EwViyBEG3Y0e0IvfuIUxJ\njnoJXDhxIv20Br4UbZ0EEvXzg+m7dQvmpG5dGMIMGTDF9vODWRWtxLBh+pF2beVKBPAyZfjO3x/N\n9q+/wriJxcqpU3bQomlTBL/hwwFIAgMBGf6PvfMOj6L6+vhF+YmKlJACJHSC9B5AmoCUl44RRelK\nlyIqKEUpUgURECkKiBTpRZBeFBUUUUBQkCJIVUA6BAJJdu77x8fDnd3sbnaTDSCP53nmSXZ35s6d\nO3funPM933POli0o4Pas+Eqx79Gj9GXuXAwFSfA3ZQpKklDKu3RB8a1WDWO9QwdDdz59GmPfHROi\neXMMHHksg4IwfuPiGJesWVHi27cHxBg1insxe7bJJdGggTnP5587e5hk69YNQOPcOY4rVgwGzQ8/\n4MHLmZP2b92iHQnb2LKFudSmDeDO0aN4usQQt1/HvHl4N196CeaEsHxc84ZMn871/fEH82z5cubK\njz9idAiR4OJFc9/tANxzz2HUPPccBmL69NzrkBBAt+rV2U9CZ4ROfumSaatuXZMEVsrtfvYZn596\nis+NGwMSZcvGeOfIQWhIcDDP5VNPMZblyhF6kpBgSrtKtno7C+r0aefEs/XqYZRJNVQJ5xK2iHhj\nZ840jIwXXsDj260b53voIa7vjTdoZ1v2aHOCoUN9W4v0/b82u67L7dphMN1JOXeOOZk3rwEyBgxI\nWZtS1tSXBJxa80x1787aOnSoybkkJaR9YWNYFt7yF17g/9OnWffq1Elc7eTECV51ISGszV9+6Wwk\nrl3LOvzDD97POXu2mdaeklJq7Zy8cu1a930vVChxpYxly1ifs2YFYBdWosgnn5jS5CJPPmkM+vHj\neSbtUr68qZ5il1OneKe4smaio1kT8ublPefOm++u5KpdEhLM9ffu7dmQLluWd9Ls2QAZ7hLBxsby\nzpNkpnbZt49x7NDBueKLP3LgAGvp2bMY8D16MBcmTAhMJSBfRcL/JkxA3ylcGADFU1nfpCQhgfX6\npZf8A0Rmz04MGv0HYgRI7EaYN0M/NUNGXPsTSPaFSEoSgfoSAuHPvkkBHd4AhORUCEkKkPA3L4Yv\nbQYirCQl+0s/AhkS4o4ZcqcYEXbmU1IAzd0INbnfFWXtz9q8c+dtbePG/zLo6RNj9datvEQzZEDZ\nFM+/1ih/SlGdRGtTsUI8NvZqCTVqGMNIKaOgzP/HSVu3Li/avXtNDPeoUXjcw8LwzDRujIe3XDna\nWr4cZadGDfooL9tRo1BmzT3Wt70qa9c605WFQjt1KuwHqTm/axf01rlzMYLtpU179KBf9kokS5YY\nr3fx4njL+/RBMezSBY+L2G+xsea4AgVQ6i5eBCyYM4frtZcFFCBGKeJ4LQultkULDOauXc3vL7/M\nNU2ZgkH0yivmN9nCwujXU08BPM2axfetW0OF7do1cQ6Opk0xYN9/3znWWbZ+/TDW33zT+ftHHsGQ\n6N8fRku+fHyeOhXDpWpVADJ7DhUBgfr1gw0yapT78rAFCxJakiNH4qosQjm+do25Vb8+93HJEuf8\nHEqZOOuLF1EWP/gAA+bxx839jIggAarWzsDDmDHOYNzZsybRbN263PPu3fHc/fYbczBLFgP0SV/O\nnmVspR3xgkv1Y6mikysXnrymTWlr1y7O0aaNSai5bh3Pg8PB/S1WjOf39GkYTvZ7K9KwISyP8eOd\nk6FKmUgxcCWxXv36PBtakydDKYCvEycAgSIj8a6OHXxFxz2YzjToR3D2/b42u67LixaxpqS2WBbz\nu3Vrnr22bQ1YtXUrz6g/ISB2uXgRgFHmhjdJSGAdyJqVdev8efoiZa215vmvVi3p/kyZwjyPiWEe\nhoczn+U4y+LaJDlpz54mIaZdNmzwXu5SRMpGy7QePNh9FQt7iWZPpTq//prn1dW4fP99PPh58xK+\nKBWFRAYMSFypuG1b1uGQEK5R8t2IPP88a0SxYon7UaxYYuDm999Zr0JCYKstXJj4OE8lV+1tCAvO\nG0A2fTqgkta8kzwBGcuXs067huRoDfDerBlrpD8lg0UaNkycl+TXX7kPRYsCut8J6dTJlFW1LOZI\ns2YwWDt39h0gtEtMDGxGKc/tizRtik5gl/9AjACIqyF6p8qjeupLoNkX9naTkwjU32MDEUaS1O9X\nr3quNOJv7gtvv5m5kbgSSUqvwd6+r6Ei/oShJHVsIFgZrnkr7jQjwhtAczdCTe53RVn7szZblhNd\nYtYzy7XDgQGTNi0Yh4SUSDUDMYgkrv7tt/Vtj669hKYk3hKv1AMPAHoI/TxNGuOdbtqU/yMiUFiG\nD4cBMmwYRt3KldBhHQ6Mroceos0sWTj+6lVDBe7d24Qk9OrF79eumX5lzozSHB9POMK77+JlDgmh\nr2FheK7j451yn+qiRTEc7VnYK1WCtnziBIb14sUwTl5+2ezzwQcYgM2aGeZArVoYy716ATrs3QsL\nYdQoGANhYXhm9u8HIKpdG4M4IoLQCOax2cLDUYK6d2ccbQQbrRSGy9ChRom/cQPmwJUreC2nTSOW\n3ZXamj8/YQsvvohSZ/8tOprxGTGCfZRC+c6YkWtdtAglav16wjG05t5v2oQH2t5W584wUwYOBMhw\nLQtbpAjMgL176bvcr2HDuE/vvkvc+cmTeOYyZaJ/GTMy1sKEWbqUe1u4MEBGjRqm1GD37szl2rW5\nf8WKwSy6dcvM+S1bMC4kNGrBAo595RWAgNKlUbQLFODZqVCB8wQF8b2EvZQrx3F2MCRbNmcjybLw\nDMrnDBkIz5K5fuAACviSJYRczZ2Lgfj444BOPXrQxksvmTbEi7trF3NGvJdShlUpxrV1a/7/8EN+\nv3iRsZQlWvZNSMCb/OijJr/D9BqfmR1cA/GTkPt9bXZdlyVEx58klv7I9et478uUAah4773EnnXL\nYp66qzqRlDgcrPuvvpr0vt9/j+e9cmWTy+DLLwHp7KVmExJgMXkj8GzbxjNw8CAGaNashvFw6xbe\n5LJlWb8++MBzctJNm9wn7XSVH380a8Cjj7KOvvAC6/GMGc6Ai1SQypDBMxDzwgt43F2lWzfuU+nS\nhHW4Ht+qFWEOdnnnHdbLkBBAf9f72Lcv63HRoonP9/rrrLuu0quXeYTtCR7t4qnk6unTXMOUKfwf\nHu65uktMDO/q48f57AnIsCzWZcmv5SpSIjwsjDXSV9m40Xui0s8/Z12Ljk5Zss2kJDaWcXDHQPrr\nL+5RRIRZ572VsHWVkyc51pfnOzaWdd6ep0Vr7+vyXV9UU7LdCRDDG2CQkoofKelParAv/AkDSemx\ngQojsbflKczEXaURb8cl1Z6n3zxVInG+Xvcgh69hJf6EivgThuLu2ECUYfV2jXcqX4anPtzNUJP7\nXVHW/q7NtjIg3+RqqbU2RumSJezSurUxaI4c4bexY02ohyg8V68a1oFQ2e1VEho0QDGbNQtQIjIS\npUyMqm+/RRmTv5MmGUWpdGkTL92jh2nzwgVnY7BFC5SnEydMsjOtARJy5kQZqlULr/nu3TAA9u8H\nAMmVS9820EWk5F769PTj7Fk+P/QQSmVEBN6+JUs4n4AMR444VyyJi8OoCA3FqC9RgnNmzozScPKk\nSb5YujQ5GBISMNKHD6ftp57CAJbwkqNHMaQLF3Yuq6o1BvqCBYzNli0oyGFh2JXSpxo1nEGHa9dQ\ndpo0wQgvUQIjRWK6O3SAedGhA4Z5794G3AoJYdz//tuAIhkzmpj3nDnZp0wZjClps0sXU7ziyhVD\nL2/dGiNlyRKYEQkJtN+oEf36+Weu7dgxk3tFtjp16MO5cxg0AgppjUEuwJsY4nFx3Jfq1Zkn27Zx\n3x0OY9DXrcvxdlaNlAjMkIHPe/Zw37Jlw7iqUQNlv3lzDNYcOTBORBmfMoXjVq1iLpQqxeeKFfld\nmE9K8SxobVhHloXxNmsWoMnGjVzn99+bWPqxYxm7PHkYU0l4+8wz/KY1z4DMBa1N7g+lTCWS6dM5\nRmuTK0MqawjFvk8fPn8XYkv6MXy42yXHk9zva7O7dblyZc9GXnLl0CGA2uBg1tw1a7yXpVy0CEDW\nXxkwgOfbnYdc5PRpwLOICNhmsj7FxjJv7QkERU6dYi67Y0ecOcNzJLT38uUxgs+cYR3Jnh3AdeVK\n79e8eTPPxDffeN7n779Z67JlMzlg7OrjDz9w/0qW5PnT2kx9ySPkKmfPsua7K4MrYWAZMrh/dCpX\nNowukdmzeaeFhPCsuya7nDqVMXJX5Xj9elMG3S6XLhlA+8EH3YcjuCu5evkyY2EHRjZvZvw8hQj1\n6OGcQFRyZLgCGfv2cY2uBrZdtmxhng0YkDSTJz4eoDop4z42lnsRHAyzxg64BUoWLUIn8Sbx8YQb\n1a7Ns9G3r+85bHbsYOx27PC+3+rVxuFgl/9ADD/E15AR+f1OhY24L9kaOPZFcg3Wq1ev6o8//jhR\nMlNvEogwEnvfPYEmSbE03OXR0NpzTgxvvyV1Td5ADumPL6BDSsJ1/DXS/WWA+NLena5i4qkPdzPU\n5H5XlLW/a7Mtg2HMA49pfeOG/v57vhJq6hdfmIRi9twCjRrhzVqxwiQV1BqlRSmM0ps3zf65c6MI\nxMdjJH78saHyNmyIobZgAWBC586ACeLRWroU75pl8VnAhQEDEodCSHK5adM4Jj6ecz39NJ7qhQtR\nngoVArCpWJE2z541bU2ahKcqTx7TriThe/ZZDMnQUHJoDB2KklOwIODG4cN4BCVD/QMPmDCWMWNg\nBowcyXVWrmyUONc8Eo88wrg2b+5cPUOu27LMeNjBjOHDKQO7eTOewj596ItrCIawAl5/nZAb8WyK\nZ/XWLZPs9KOPYFBI5YoTJ0xpwq5dUfA3b8ZrOXky+0ppUftWsCAew969uT8TJ/J99+70uUED5sPZ\nsxgCp04xb+T4Bx4AdClbFmApa1bn9iXRm2XB0MiVC+Vt0aLEJW7/9z/2ERBEqsh06cI9HTCAe1Kq\nlAHQhg1j3yZNTPlXpUwVgUmTmEPBwdCbGzXCe9auHR7T0FC+P3rU9ENixiUJbfbsAGQSviTx55L/\n5ddfGf+wMMCHt97i+6++4vnq3BnDOFs2wIqoKObxb79xbNastHXhAqFcSplSyMuW8XnGDO61vZzt\nxYumPKLE80u+kB07tNaXL+ub6qHED4yPcr+vze7W5WHDfGMyJCUJCazDdeowx/r08Z1eHx+Px1kA\nWF9kxQqeb08JHm/dYq0LDgb4dH2NDxhggDF3snw5c9Zu7EsJ1wYNYFl06waQ0LYtwEDHjszvpERA\ncgnZcpX4eED70FDuzYEDGNYCVNjFsgBa7fmfZs3yfO5Ro2BHuRN7WJc7ECQ83LAWRLZsYV0PDuZZ\ndi09unEj12GvWiJy4wbHuMu7MHmy6YunpJv2kquxseTn6N49MegxYgQgmTuwa+9e1jv7b56AjFdf\n5R57k9OnmSPucqPYxROTxJOcOgU71BWMC4Q0aGCSofsiBw8akLJhw6RBSq3RnyIivOeb6dSJ95mr\n/Adi+Cj3UsiIpz4lJ9TDl7aTw+owx6/SDz/cSKdNuzjJYwMVRuItz4TrPp7YFv7kvfD1t+RWIvF1\nH39CRQLBfvCXAeJrm3eblWHvy50ONbnfFWXt79psWc7W7eef32Y2SHJCu/c5SxbDMBAqvpR3XLmS\nz+LplljMqlUxEJs2xahctAgDtnZtDMjwcBTBXLlQfgcNAmx49FHCWvbt4yVdrJiJE7Z7jGfOTEzN\nP3zY0FBHjMCDFhSEoZ09O7Tqjz5CwVPKeKbj4pwN4wsXUIwFhDl3DgOxbFmUmdy5YSOcOYPxK8dl\nyIChe+sWtly+fFxXTIxJRDpnjtl/1iyU9gsXUGhCQzH0v/uO3/r0MaU7/dmeeAJDafFiriM2FqO2\nTx8AgeeeY3yaNnUGC0qWpP8vvohCaG9z0CAAjFat3JdErVULlsFPP6HgiqEWG0sfli7F+LVXeJEt\nc2YTk+36e7p0hLB8+inGy7ZtXEvt2hj1QjP//XcT0lO7Nve9Vi0AmZw5Cf9ISEAxtU/9P//EuA8K\non/58mHohIdj2Mydq2+DDJaF11OOlfj4Bg34PHEiRkKGDByXJw/zpnhxU6I4Tx4AKq2ZD1L95upV\nkzRXKRNuMG6cMfyWLaOfmTMbQPDiRcZOEhV++y3P3eTJKLyWBfj27rtcv9zXl1+mTQEo/vc/o6RL\nKE7Fis4VhkRpFmaPZWkdP8OW+bB0ad/XoH/kfl+b3a3LO3YApiZXzp7l+c2VC/Bs9uzkJTn84APf\nyzseOOA9EeaGDVxT3bruU6JIrhgBzjxJt26sTzIXJV9MxoyAulWrAqSMHOl7OcmtW+m7O0BCa5gZ\nJUoADu7dy3NSo0biXBSuYmccjhzpPimkw8Gzun174t8syxz/7LOJf795E4DclWFw6hRsiTRpTDJu\nuwhz0tMcq1OHtcRVpFqRUu4NW5EmTUwFkRdecG9MS9iRsDNd5ckneT/ZZeZMjG77/JFcHK4lcN31\nXarUuBvry5dpJzklWr/7jndexYqeK9n4I2fOcN+Sw/BwDRcbPdo7cPPuuwDy7s7lcKA3ucOd/wMx\nkpB7LWTEW58CUbI1UDk1nI3uVXratGlJAhi+hJHY900JKOCJbZGcvBe+nFPYFJ7CQZKaS77sYz+P\nPxVLUhoaEuicFt76lVoMiKT6c6dCTe53RVknZ23u3/+2xnLzGTJkinEn2bJFoZH44hYt+Lx1K58X\nL8ZrbVkoiJkzoyjExOAp7tQJo2vlSkNtzJULRXj0aF7EVaoAbjgceNvtIIXWJAUtXNh4+FwdvhMm\nmO+yZqVvx45xvn376N+mTRixkrRRKqoohfH77bcYrUpxLplyTz6Jt61SJZSH3LlRgoYMQakRI/aX\nX0x7Tz/NdVoWykpUFB75ESNMBZZNm8z+48ebdk6dwggoU8Z4Fx0OZ7ZG+vQARhJSk5BAfx98EFCm\ne3fGoWxZE8Jx8SLet5s3URALFoRJIZ4wO2jQtCkMkvfeS5xno04d7svKlYyzUijSrVsz3kWLAjh8\n/TW/Fy1KHzdvhikQEsJYfvghrAdXOu1XXzHmBQoA9rRuTXtac52jRxuGiGXRfwECpI8FCmD4//UX\nY5gzJ9diWRg9wgJRirmpNedKk4ZxO3CAufL22xg3oaHMWUl8tn69Ob5SJTzfSgG2ORwAdCVLct5N\nm+j/228DOERFAWQsWkTfy5QxbB17LgyleBYXLWJeigJviwK77cl/5x2MigIFaGvVKgyyBQtghIjx\nefUqdORSpTAIjx3ju0KFaG/9etrbsIHPMu6nT5tzPvGEAeGiovg9poat9I0/2eS0zL37e212ty47\nHIB1/pQ3tSyMqZYtWWfbt0+aKp6UXLvGmppU7P/Vq7wPhJFll6NHYc/lywdTw5232uEAfJDwRG9y\n4wag3/TpzpVBBFRbuNB7KIurCMjpLnzn1CkAxZw5edak7wMHEsbnLTxhxgzTr99+47kuVw4QxC7r\n14PtuRuXv/4ybbgDWA4eZFxdxQ7elyqV+HcpfZ43r/u+jxkD+O5O1q0zbbsTyzLArlLey3meP8/a\n6a6E7rx5jJmrfPppYiBj2jTYi74wIZYt430gybFF3nzTMxvGF3E4AA+yZeN97omN5IuMG5e44oy/\nYlmANcJIatOGue46RpIjqXHjxPP5hx/cs3W09r4u3/VFNSVbckGMezFkxN4vu9c7kHkv5Bwpbdu1\nn74e72soRFJhIlpLeEa0R/ZHUqwJTwk/fcmJkVRuC0/Agp3V4Mkg9mUff8bS03X5GxqSWuwJd/26\nG8k2pS++hJqkNKzmfleUdXLWZgmMV0pbDzygf/o6xskrtHmzSfYl+QvOnzfKy+nTvNgLF0ZRi4nB\nwK5Xj5f0unUYpK++yjZvHkrVkCF4ri0LIzU8nO/j4w1QIGCA1iYxolJGsRk/HqXY4TBeqaxZ6W9o\nKOeaPBnj/513MEpjYlAIhTliZ3WkTYsn27IAXurVoz8LFnANzZqR8X3wYIx/y4Kt0KgRwECzZuxn\nV7iLFoVGfPAgcc9PPsn4CDPCvq9SAAvPP49HT8JIRo5EqStfnmt9/nmuu317vO9vvcU9mTnTueJB\nfDzgT4kSzufYuBFj+fJlKKlPPolXt2BBlO9t21CKa9QwdOIOHTA+Zs3it0KFYFxcv45h3q4d+yUk\noBS99ZbJUm/f6tcHFBBvZWysYVBs3gzNNzISw0X2kZKra9diRKVJw1x66SUMA9ekpHaF/+uvMRRn\nzkSJjo7G+yX7rloFK+LDD01S2C1bMKKCg5m/YWEYbiEhfG97ZG7nLZHPhw9zXmGDdO7M58cfh4US\nHIwRmiEDRuHw4YBClmVKvtqNB/u8P3iQ74QVUbMm433lCkBMnjwwpCRh48KFzPlRo1BuhwzBSMud\nm/nbvj37PvssbQoQaQ8bk4olUhVn3DiMVHsFn+M7/tZWmjTmi2Rkwrvf12ZP63Lr1jxHSUlMDHOw\nVCmej7FjE4cPpET69DElmd2JzBPX8prXr2PsZ8kCIOmNCTJ9OnPM12oo+/Y5P9dNmpjKKv7Ijz+y\nxrgmfrx1C7wtOJj1yl5xZP163kme8lvExQEUR0ay/kiFFstiPQwJ4dmWNSw6mu/dyXffmWt0x2ZY\nt869oa+1Sahtz+VkF6Vg3bmTX381SXk9HauUczLJvXsZq/z5nUNg5sxx34aIgEiuYU43b7K+ytpm\nF1cgIyEBwNeXajha02axYjxj16+zLAUHm1xOKZHLl9EzQkIAg7yBOJ6kdGlyHwVKzp8HqJcEsdOm\nmfVba/pYrVpiVky/fqbMt6v8B2LY5F4MGXHtV2RkG6ccE4HoU6DYF+7CW5I63h/Qw58wkbRpV+nI\nyDZuc1ckXbXEfcJPrZPOieEpt4W/uT4CMQb+VCBJaWiIt9CLQLAyZJ7crXwZnvplv14ArDYpAlnu\nd0VZJ2dtjovDev9HG/k4Y6/blTSESmo3aiThmpTXfPJJmvjsM5M744knKBkXHk4yrvTpUV6CgjCW\n33gDj0pYmKmCIvkoJD70zz/NORs3RmkqWJDPAiA4HLQjnr1KlTDa8uQhxjtXLsCL6tXxVOTOzXGb\nN6McXbqEIVmpkjmXgBvx8bAhunTh5Z89Ox7PSpVgcmTJgoJw65Y5vk4druWTT/gcFgZroGNHrr1G\nDcIilKJPXbrAyrhxwyhEQ4YwBq+9xv52JV6MzpgYvPzjxjGu0r7s17Ah4En69Hxfpgzf2dtKl45x\nio5GyZXvhW0THw/NPCQEJadFC+OBlTFs3JjfH3+cY+fP5zqqVcNIz5sXho203bIl9ysiAnp0njym\nZKdsDz2EV/S55wCHatd2zs2gFHOlSxeYGJs2YaDnzInhcfkyc2X+fIx4AZJCQ5mfH30E9blUKaPM\nCovCrozPmYMimDcvyvQbb3Btp05xrrRpTRiSHdR7911nD+mVKyauvlYtDJt58wDw9u5l/I4fx9Cy\nAxgyp3//3XwXHGxo9fZ7NXIkn2vX5r4JpV+U/tmzOXbrVs4niQ0PHwbgiIpi/y++MCFHci1aA3rJ\nOcVwFiZGjx5az3qog9nh0UeTFTT+b12blVKjlVL7lVK7lVJLlVIZPezn9rrnzuU58iQHDgBMZcmC\nEb9+fdIx8MmRU6cAsiSnkKuMGgUAIQat5IPInRvw1jVfg6ucPcsz6Kk0pzuxJ+11ZTb4Kjt2sA67\nJhFdu5Z1q2HDxOVX//wTT/vmze7bPHuW9179+qyRFSoknvLHjvE8li0LCBEUlDg3iIhUNfFUknTK\nlMTgkUiZMhwr1b5cRXITuRPLYl1yV35WaxMy16YNDMLixWmvVy/DMmze3Nyjjh29V9sZN47xcK2w\n0aeP5/7PmOEMZGzdSh98DcGIieF9LWGww4b5dpyvcuAAjoPHH/evOsovv/AeSY1n2eFgfjdqxLrR\ns6cZv/PnAd4k0bPWOAY8+WL/AzFs4s5IulshI1p7AhdW6cjI6HuKfSGSXAaAr6BHauSO8AdsSApA\n8OXYlOT68HUfOV9yKpD4ew/dnTe1clqkJgMiEH2C/bMq2WOn9b9XUfZnSxZLzmbFW5kza21Zt5P+\nyUtWFJWgIIAJiecsUQIFJD6el+PXXwNwDB6MoTZ5MorW1q14p/v0MTH5adIYD5KdUpuQ4Fwa1e4N\nEnbCSy8Bnhw4gEH2xx8Yle3awY7o2pU2o6IwXqWKhNRcF095oUIoX3a6fOPGtHf1KmDB6NF4G7t2\nJe5Uwm1mzaKvxYqZ4+LiGIsiRYjrDgmBAXDjBka1ZKGX7eefjQK8ZQsGeMuWxliUXAayf8WKGJVH\nj6JoC/143jzndlu3Tqz4FyxIqEaTJlCeN2zAiLKX1VOKscqo6SrhAAAgAElEQVSVi2sX4Ei2mjUB\nIgoXNklcXbeePVHiRSZN4p6IxMXhza9c2fm4ESPwVs6axVgJ+0RAF6WcPVfffIPXqW1bkwTwwgWT\ngFO2wYPxwsXEYLTUrg0AcOYMxpl9X/GWinEwcCD3LiSEe1WyJCyQoCDOGRtrEvvt2eOcaHbDBtoa\nNYpcE5Jo9rnnOE+5cvxdvhwDr1s3mEQPPmgYTtL2zZvOc/SNN/g9JsZ8J3OmalVAhqtXAbJatzZe\n49mzGZ/WrZk72bIRWiPJeTt1wlgJCeH4kyfpu1KALFoz5wsV+uf6EhK045H0phP/93++rzs2+beu\nzUqpWkqpB/75/12l1EgP++l27QBJ7WyFc+cI67F7cqUaQc2azIf+/ZMGCQIhYqy6yoYN3HupKrRv\nH30rVsxzgkxXadnSc14EV3E4TElqpVira9Tw39v9888AGPa8D0eOsP7lzw8Ly1Xi43l+PJV5lVDI\nt97i+bCXvnYVy8JYlOt47z3GyzWZpjDlPFXf6NPHs/EteWs8hegIM9CTvPgiz7+r3LplQGC5B998\nk9joHjMG3LJUKcCskiXdsyq0ZjyeeYZ1zi7CkPAEgLgCGS1b8kz4KvacI0qhe/TsCaD9zTfeq574\nKqtXw0ypX9/z9duld2+cA6ktR49ynrAwntmlS9ELwsJ4l/7+O+8A+309coT7yvvZ87p81xfflGwp\nYWLcrZARd31xBy74U+I0KQlERZPUDiGRc/iS9NPX/BKeqo8kF+Dw5dze8mLYj/cUkuJ6jqRYFskB\nJJLD4nDXRqDLsHprOxAMiED0KRCJdf+tirI/W7JAjG++0daDD5q3/IoV+uOP+VcUwM6d+fzggxiB\nCQkoAm3b4lFfuBAGQs2aKIc1aoDuC3V95EgM2yxZMDQvXjT5J6QU6k8/mS5ERJgSl0ph0GqN4hgS\ngie8Xj2MuNGjobcfO4Yy9PfftL15M79HR5t2pJKElLhUyiSGO3qU4ytUoJ9DhuCtzpEDL5J40w4d\nMse2aoWH/dw5FJh69QBgVqxAyf/hBwyAyZPNcNtzcSiFB7RuXTxxCxZg5EZEoBidOEFfjhzhPJkz\n4/WpVAlFLiyM3zp2RPGOj4ed0KEDx1WpgpK6YwfX5nCg1I0ejYEkMeJbtgD4OBwo2UeP0ueICOe+\nKoXxvWwZIFFsLAqvUuQUGToUlkn69ChBAweiyEtJwy5dMNifeAIvprAh6tQxLJyLFzkuOBhQSqIT\nFi6EHRETA3AWFAQNdvx4mCLuKrAInfbsWQCRVq1MWEnmzKYCzcKF3OucOU2Z4ebNGauZM01p3k6d\nYPd07sxYCcAkZUelDKmAGlqb8r2//MJ4ZcoEcFSrFmMQHs49y5mTdqTk6YcfcpzETdvbrlDBOUeK\nKPhff42BFh8PSJEzJ9f5xBM8r9eumdwAUtUkKgqv+owZgFbPPMM1xsUxzyRSRCjHCxca77M1b/7t\nTlgPPGAu2k+5H9ZmpdTTSqk5Hn7T48ZhVGbKhME3fz5gWvny3IfTp1lzcuTg2Zk3L7HXOjVl927W\nKjtYcPSoqT50+TIMsZAQ5q27BJbuZMMGnjN7uIYnuXgR8LtKFZ4PSUTbsKFhovkie/bQb0kaKWEv\nwcGwoTyFvfTtCw7nzkM+Zw7XLm0OHMjz702GDjXPaI8ePE/p07NWPf8867D87kmaNfMcQiHMLHeA\njNaA/d7anjfPmQl08iTvoezZWcclP5UngGH5ct55JUsSqjZ5MmO0cKH7/YUpt2CB8/d163qv7PLJ\nJ7yLDh6ENeRLDhf7NYquoRQOhhEjGJsnnuB5DA5mznXsiDNk7Vr0CX+YErduAVQJY06Ycq4SH8/4\nulZgSU25eZM5JExIKX/esSPb7t3oRiVKoFN07CihjJ7X5bu+4KZkS0lOjLsBWsi5U6tcqqdzpdTw\nSk4IiRznCyjheg5fkn56Aijc9dcd0JAcgEPEW7iJL6EgSZVblXZ8YVkkN9dFclkcgTq/v227MiDu\nhTCT/3JiBH5t1q+/bt7yUVH6jyOWVsokI1u0CGMsJASle9AglImgIAyikBAUx9y5UQDSp+elXqsW\nSqnkamjXzmR737uX0+XPz2c7iCEedzvDYNQo+rJ+PS/iZ5/FoD592ni1y5fHeFuxAi99TAyKiP3y\nXnmF3+wVOWbPpm2Jn16yhHwckZEo0qGhKEKTJtEve1JOSe4VH4+iXbYs31WpggF85Ahemn79MCKL\nFCE+/MgRjJq8efF89O9vKmq4ggZaowAWLQqgMneuScYo2759xDmvXw/oM2iQ8zWKQTxrFmMv1TcG\nDqSfzZszXtOmcd/z56df588DikydCkOlb1/j2VmyBGM3Z07neOdjx5yrbNi3KlXwLn7wAQbBd99x\nTZkymWMqVULR3bRJ688/5/7Yk3HKVrYsXsIZMzASsmQhlCkhAWCjfXu8TRIxFRHBHJk6lfkSFobh\nr7WJZ5e2xZgrVw6ls25dlPnwcAAJSZD52GOGkt2+Pcf268cz8f77fJZSuitXMpeCggALChXCUOzQ\nAYDk+efxEIp3MmNGk2xTDJadO5nTY8eavkrsfs2aptSs3ZtdrRr3afRojJYyZejb2rXMqR076O+q\nVYzhpUs8M5Uq0VcpMymVglat0lo7HPpc9mLmJJ748D7I/bA2K6W+UEq18PDb7Ws9e5ZnrH59wxCT\nTQDP/fsBY30FCgIltWqZZMo3brAOvP8+z1e2bMzvs2d9b+/GDdZaX6j2e/aw5vTsyfMUHGxYC1ev\nYmCNHp10O7/+Sl8XLOCZXrrUhL0Im8SdrF4NgOTqmY+PZ13Kn98kWj55kufEzjhzlXHjzH2dMMF8\nn5DA+jtrFu8i2adYMYzHTz4hF5EY0OXKeWZ7TJpk1n53IiCKJzl3jnf12rWsR0FBMCXsLL66dT2X\nAd27lzVs82bG+MYN1qf8+QFk3YFFO3ey1tiTdq5YAaDgTexAhlRFSUo+/9yUpt60ifW+Th3euwKg\nWxbr51dfMZ7du7OOhoczNmXKwP4YNoy59Ntv3pPKnj4NQJItG312BULWreMddKfE4cBxdOAAzorB\ng51DSJUCZHz9dX6356z5D8S4R8QdGJBaoSzJBR7ctfPxxx875ejwx9vvCyihtX8hFEmBBCkJF9E6\nZSBFIMNF/BmT5OS6CFT+iZTm2vCn7XuhLGtK5X5QlJPakr02//WXtoSzr5TW69bpvHn5d/VqQ3tu\n2BADLTwcxUdCRMSLO2oUynnp0hinX3/NcY89xsvRVTm1Z56Xl/4zz+Cp1hoPmvyePj3KpMOBMt25\nM7TeAgWIeQ4JQQGRZIotWphSsFrDcJC2Ll50Dll59FEUl0OH8C6Fh6Ogrl6NQibJI9Ol4zrEwyVb\nx44mTnjQIBT3WbMw7mNjUYwl1CBLFmMgOxwou8HBKFDClDh0CNaAtP/aayhHR49i6KxaRT/mz3fu\nR7p0XEfr1s5AgX2fXLkAZ9Knp5+uwECpUhxjV2YExBC5do1+2yuCKAXDIXduAImnniK0SM7/8st4\nZWfOxBPWvXviXB2yPf44AEX16sT2ujJC1q833sETJ1BMo6JMItKEBOeEeUoBcghRYMwY7s2vv2Kw\nf/CBYWXINnMmoJZShFhcvYqHsXp1wI7ISDznokx/8AH71q7NZ3u1GvFCt21rvqtWjXm4fj335PRp\nxu3sWdgYnTqhdMfHw+hRypRL1RrF+umnCS2xV+yRuSWVhdKlA1S7fh2FvkwZPMiWBUgxaRJA2sKF\nnLN/f2P49ezJ8/jYY4z3smUcb1laHxz9+e2TWunT+17r0o3cy2uzUmqjUuoX2/brP38b2fZ5Sym1\n1EsbTtd77RpsMDvIWKcOgO8TT7CmZckC8y1zZtag8uUBg1u14r4MGcK9W7AAgGnXLsJOYmKSlZZE\na+1cCrhNG/ohrJ/kJNXs1w/wICn57DPWEmEcvPIKa4ddTpxgXf78c8/t/PYb6+PcufxfqxYgXVJh\nLydO8Gxs2eL8/blzrGN16jjnC2nVinePJ/noI+5tgQK8/9yFbGjN868UTMWffoJ91aIF63LmzKa0\ndteuAN8LFrD2b97M/u++y+8//8x68+OPMOI2bOCdWKoUv48fj/Hasyf3tVEjwmaK2TDIyZPd5+1Y\nvpx1wp3cuKH1ww+z3j7zjAl7uXyZz2XKmGTHruNTvLhhyiUksB4nlTPlk08Amn75hTGSkD13IuWm\npXqPZTEeX3zBWISHww70Jpcvs/Z++inzsVEj1v106QBvoqNZL+fM4X7Yc3X8+CPhn1FRziBU8+ae\n54MvEhfHu+KXX3D2LFjAvJGQ1+ee4x1VtCjvj7Rpea9ERtKfxo1xJpUube590aLu7/9/IMZdFvd5\nLwJTLtWfcyWnLUmg+fDDjTxWAnEnqRFG4mu73iqX+BouklyQwt9wEd/YKZ7b8ndsPPUjEMBAaifl\n9BbCYmc43etyLyvKgdpStDZ3727eapUr686dLF2+PEq1KAAffohBuWGDUfqyZMF+6dQJozQ8HE+H\nxFdXrWoULa0xvoYP52Vs9yaLAXruHICGPEZt2vC5bFmUqRYtAAVy5OAlPmkS54yOxvgNDUUpOn+e\n47ZuRemTxInBwSRv0xoF5JFHUDj79uW3oUPx+BUpYvIevPOO6adSXJ8ooAIM5M6NwjJtGgZ+tmyc\nUxKk2qtY/DPE+o03UMq/+QZDoVYtDBGpMDFliglHCAoi1OHzz7nGPXvYz87ceOAB2hk7Fm+h1uyT\nNStMieXL+X/YMJTyzZuNIixbpkyAOg8+yHhIXgbZHnsMxUiSeqZP7/z7449z77duNXT42bOJ39ba\nhDpIdZWqVbmHL7yQuOTf11+jkEVGAgrFxzMf+vY1oR6hoSiYa9agnNapQ4JQe59++on2HA4AoSJF\nYJG89BLGQu3aZt/hw/GE2ynIp05xfJUq9DtbNjyCBQpgNEheC6WMsWevLFKhAgCUfG7enLG5coX7\nu349IEKdOtxzqajTrRv7FSnCeEus/ooV3BcxAuwlX9esYZzks/Rn/Hg+FyuGofvll4xrnTqMyYkT\nzKVt2zjXl18aNkmNGox36dIAGRcvWPqXh8qYk0gt1mTKv3ltVkq9qJT6TimVzss+etCgQbpr10G6\nXLlB+rHHNuvoaNaJsDDm37hxicdF1rGDBzGEVq5kzr//PmtX584w0mrUgKkQEYFRmS4d87d4cZ6f\npk1Zn/v1A8D79FOMue++w0N77hznsizmh6RJypgRgDo5CQh//ZX5460aRFwcgEX+/AZgPH+eeeju\nuB9/pE0pN2wXSaA7aZJJlDx+fNKlWOPiMO5cKwPv3g2w+eabzoDu9u2cx1NyyZkzeTetWcO9bdvW\ncwWaZcs8Pz5nzpgEut26YXg2a2aqXJUtax6/fPm4b1FRJhTHDhD36IGRO3Ys9375ct45e/aYfTyp\nufHxXI+nSLEcOQD8hT0m7VgWwG5oKKCoXSwLPcBe7nTIEOOA8CYCZLz3HrmZ3N1fSV4sichF5swx\n4XoSUielt/2R2FhAhIULeec8/zzP3yOPAMZI3o0pU3ju0qUD+Nq/n/erHe+9cYN3/o4dAC+zZ/N8\n9+uH86BJE57HAgV4Vz34IGNapAhA+LPP4iAYMADGz/z5sE727OEZ8pRLpmZNA4AvXSpg9WZdrtwg\n3a3bID1o0KD/QIy7KYFMqnmnz+VslK7S06ZN86md1A4j8dauHXhxV7kkKQAhpTkxtPY9XMSXUqq+\ntOWub/5WLAkk6JXabAl3ISyBZoCkpvybFWVftxStzSdOaEuy+Cmlvxn8la5dG4bFpk0ohkOGoERN\nmQLrokIFvP4DBmBslStnMqLXrUuzYmCNH89nKZ33wAN4muwea/HaLFqEpyM2luNLlUJB++ADvCF1\n6uCByJsXZXLpUlN6UimTWd7OQpAkmCNG0N7Vq3g0goJQnp54AkW4YUOUo9Kl8cKJEmAvxyr9XL2a\nnAG5cmFUrF6NpyMoyIAP0p+QEICaxYsx/MuXJ8ygXj367hr6UbIkxsPff2NsDhqEwh8UBDjyv/+h\nRBUqxH5vvmkyj7drZwACqQAiitqpUxg21asb47xaNY5r2RIDfdIkDN2zZzGg7P3Kl4/7YFfEBg/G\nM3n6NNfXsydeuPTp6YPEVov3p1QpjCk7vVvCk65eNeBF/vwYBUKrv37dsBLsm5ynTx/6ERKCYnnu\nHMcXKkR/GzRg/zx5uI5RozDaCxTAKMif3wAvPXqwb/XqfP75Z30bTPruO4zAqCiMmpAQgIBq1cy+\nokRblnMC0RYtzL3o1MlUHnjmGRO3v28f3rEtW5hXDRuiuB45YvLJSBjMgQOm7dmzTbUYpYxn1F7O\nV0Jfqlfn+alaFUOgRw88eSVKcP9HjgRsefVVgJ1VqzCUHA6th1Q0CI318MMmpiqZ8m9dm5VSdZVS\n+5RSwUnsp596CqPp7bfNvG/SBINl507uqbcSpf7I9euc4+efWbsXLsTTOnQo97N1a9bxChVYM4KC\nMI7s4S2NGiVOQumrOBwYXt7Kx/71FwZ3gwYmMa/WrCWeqnFozfoSEWHWLq1hrkVEsF5nz45x7OuU\n7NWLPtiBmvnzeX7nz3fe17IAnyVky1UWLDD5Dl57DbC1fXtnFptdunVjLXz+efe///IL7yJP0qIF\n98qTSOUiT/cxIcHc75o1PYNV77yDoexOqldnjmnN9UoOH5Ht2w2ry25QX7vGujxjBp//+ov3oC9q\npAAZefMavULEDsK6Slwc82TXLj4fO4bO8swzyZ/rdklIQDdYuRJHiOTdsKccUwpwMXdu3lvp0nEt\npUoBZgqDdNgwGCtLlwKU79/POywQFU02b+b9FxdHHyXE98QJ3p9ZszIf/gMx7oJ4YkSkRgnXQJ8r\nJbk07kQYibd2fWVqJBUuklTSUG/JO+9UaIynNpOT6yJQuS08gSKpxcrwlFvmXmZl/FsVZX+2FK/N\nHTveftPGPfmUfuwxFLDq1fEsVauGRzB3bhSSJk1QhiVE5PhxvHfyso6PN9nB06ThBd+4sfldpoqU\nc3vgARN33LQpSlF8PC/VpUtNJZL27VE+6tXD+NKaF720Gx1Nf55+2nw3b94/yQgtlOT69Wm7Qwde\n4i1acE6HAy+9VN9o3JjvunTBMG/eHOVJspDXrw+AUK4c2d7j4mBB2HMSKIUBIcbrmTP0rVgxk+Ng\n3z6ABHuui9WrOUayiK9ejbInySeVco4lfv99PEF792KMf/GFcx/q1wdwWrYMpTRrVrz6uXKZnBa7\ndgESRUYCJlmWUcQdDsCgFi3wKD33HPNixgy+0xpDbPt2DGGpJuO6PfgghtPjj2MUNGmC8uu6X7Vq\nKHc5cpiQHvs2ciSgxq1bbKKA2RPL2RkzSjFnpFSllDadMAFjYcUKM445csD+EHq6ULsXLWKf6tUx\n7rNn57jSpVFeT5xAUZb9bt0ygIj02bJM4s3Ll3kOMmQAFBk5kmcgZ076FxbG+FasSHtt20Ka0pq5\nI+1GRZnzyXdvvEHbAwaY+aQ14IhSjNXp0wbMq1/f5EYJC2MeFS/OGFeogJE2fpyl96SvaE7yyivJ\nW2ts8m9dm5VSvyuljiuldv2zTfawn543z9mI276dOSZhUQIO3y1ZswagTCpTzZuX/LY++oj56sng\n2rqVZ+Sdd5z3iYmhD0lVeBgxguft2jVncDkqynO5SHcia58AsgkJrOV58rgPbVi4kPXIzswQEZbb\nnj2ASMHBsK9efNEz6FGwIICwPNvu2mzQwP1vdmDSk0g1LE9hGidPcr8ffph3mysbRcQOMLtKhw7c\nb635PXt25rZdLlzgPVq+PGMiImWmJbl306bOSbC9yfTp5volj8muXaxb3nKwjBoFWC9y8ybgbYEC\nyc5LnKRYFswe+3tozBjGK7mhXynpS5UqJs/JH38wV+1OCUkE+h+IcYfl38y+SGkujZSENKQ0jMSX\n9lKaE8OXNgJ5Tb625W+7nq4rULkt7hQr406fKxDyb1WU/dlSvDYfOeJUqaRdoe/0xo0Y7evW4TmI\niTEJBC9dAtF/6CHj9d240byohcYvZTwfeQQj7cQJs4/EGr/1lr5tWG3fjqEfFkYbr7wCE2HIEBge\nlmU87koBYGhtkoUqZZKL2fvTpAl017g4jNIuXfBwhIZi7FatakoBXr7snPsiKspkHJ8+nX5+/z2e\ncMmWXr8+7QrV2E7rV4owjJYtAQQOHoTeGhoK4CG02MGDUTLs5121inPZqdTCDFAKMGTYMMCOOXMY\nN6HS1q/P+KdLh8LavTtj6JrP4vXXMZaXLSOG/L33YHMUKICXePJkmBn799OXzz5LXCZVtpIlAT6m\nTOH+3bzJeUeNok8JCbAkfvmF+2gHvpSC9jxvHmFLO3fSRteu9KdHD64zVy4T07x7NwyCxo1RRBcv\nZr+SJZ3btcfZr15tSuBOmAAF2+EAICpa1HjLf/3VHC+07507TZWBDz/E61e4MM9DsWImhOiHH5zD\ncfbvBwyQ76Q6zGefmXsdHw/74pVXABDmzGHOfPghfRb20TffON9DSQC6Zg1G2O+/O+fgEGaU1oat\nITkAevXiegoXpu2xYzEozpzBO7p2LQbXtm1aP53pq9uNWg89ZOKWUiD3+9rsbl2uXdsYf1obcDip\n8IdAy6FDMH3y58eotyzuc7ZspmyvP3L6tLNhahfL4lnzZGhOmIBXPCmxLOe5rRQAsD9e6qNH6Yeo\naRcusHY/9RRrk6vExvJcCcvPLq75Fz75xIAPrVubZKl2OXnSAB0REe77OG6cASxdZe5cAJWQEPe/\nJyTw7FasmDicQ2TrVtajypV5p4WGJgYgRKKjneeryLvvOpfPFcDV1Ti3LAz3sDADFmuNMV2wIAb9\npk0mJ4svIkBGjRo4AbJl83ytIpcuAci4JnmV6jOekpimRCyL8ZMKTxs38o556in3z0lqyrp1OErs\nQFynTqZvdvkPxLhDcifZFyKBrnCSEgPYX/aG/Zik+uxPHglvlUtSmhPDlzakHW9sDX+vyZfQE3ft\nJqeEanLngKd+p0YZVl/PdS+yMu53RVkHam22ucQP5qur+/fH6P6//8PIX7fOuZSjsCiUMsZ7v358\nbtsWpSBTJrOP0PUX/lOHvmBBjGOJ/W/ZEmXqyy8x7ooVw9iKjMSTWaqUKbk6YYJpV/IDDBpkvhMp\n80/4fqZMtD19OoCEZLxv3BjmwPnzGHjiDXKtMf/ee4b6bDeCe/XCaBdmR5kyKPMffMD/eDXYatbk\nGnPkwGv15JP6NsCzZo3Jen/kCL+/8AKKXVQUoIokHR0+nHM6HIxPt24oiFFRQgUlf0bGjFxXTAyg\nTa5cKOKWBXNGQj1kq1aNrWRJ2ACuAIWU7KxXD/aFPZVKUJCJC372WZTWLVu4N8uXY7g5HBjgL7/M\nvbDn8HA4mFeyVJ09C3CQJQvnsVPI589nvgjQlC4dcylTJgyIvn0B2PLmpb2DBw0IZAehzp83Bkiz\nZibfiWUBBNmBGimvKEliX3uNz3XrAtjUrg3YEhMDGCJ5MpQCgNPa2YMqCqwk4Pv1V86bLx90/oYN\naStTJoxNyQOzejVtR0dzf7NlQym9fJmxF3q3a1nWHTsYe6VMpYdz58w++/bRv/BwQDIpwVi1Ks9a\nnjxany1WwxzgSxC7D3K/r82u67Kdzm2XmjUNvT615fJljM/gYOaCaznXl19O3u19/nn3BtH16+QF\nKFnSfbLHuDjWJk9GtKvYS137UzFFa94j5crBuNKa5y5/fp5nTxVhRo50XxHjq694Fu35F6KiDEjT\nogUGsqvMnMkaGR9PaKA78OqVV1gb3Un16ryngoPd/757N++y11/3XNVl7lzu14ABvLMXL2Yc3Klt\n69dz71wBBqnkJeJwEJrnqSzs999zn3v1MtfcoQPvOYcD0Nw1l4U3ee89Mw8++8y3Y1591Rl4Efn1\nV8asc+fAhXZpDYOtcGHnNuPjSfAZGso7IwV5kX0Wy2JuCktQ5Phx3rGuz9F/IMYdkDvJvpDzBaJ8\naiDaSw57wxewwHV/b+CEr22mNCeGL234c32+gB3+tOfabnJYCSkFQby1F+gyrN7Oda+yMu53RVkH\nam0+cEBbadLc1gzaFPlJ37qFcdSggfFGV61qlLNp09h98GA+OxxGsZDs3OI5K1gQ48qy8LrJdydP\nosBmzYoyFRqK4duoEUpWZCS///wzvwlha8EC2iheHCO9QAFTYWTZMvbZtAnKbLZshHWULYsX5Jtv\nMAwluZzEtEroRq9e7Pv776YsWfr0AAYHD5pwhHffpd9SocQeSiL17Hv25FyFC+Pl/vtvfpsxI3Eo\nhSgTcq2bNqEsFi9u9smYkfPFxgKY7N8PYCBedXt7X39tWCSrVzM2vXpx7Lp1GE9//AEgEByMwW2v\nc9+wISBW69YY1PXqoTBK1Q2HAxBB7uuhQ8yN7t25/+7YGvnzw8xYvx7Gwv79hMoMGcLcknKlhQuz\n3/vvw6Ro08Y5EadSACHjxzNeCQkwV8LDGXN7Bnx7qV2hrHfvjqFRrRrgxNWr9N213199xT2WKiRP\nPcV1S0nHFi0YJ2FCtG7Nljs3DBgBv+ReSxlWaU+eq+3b+RwaCmgzdy7j3b4983vePMCq+fO5V40a\nGaOxY0e8aloDKApT48gRgJuwMHM9YowICCVGx8SJtKk152za1IAq457dersB68EHnevqpkDu97XZ\nvi5LVRh3hu3mzaxz7sIVAiUJCcyFbNnInSPleV3l0iXWNk/lPd3JmjXMFXnmRA4fBjBu1SrxbyJz\n5pj8M0nJiROcZ+BAmGYNG3pu15288gqsPMtiXU3KA3/6NM+a5JMR2bqVY+3sjB9/5PmXe/j88+5D\nc1q1MsyGnDmdwyxEGjZ0X43l0CGe5T//9AxifPghz+/EiYkTJouMGMGaunkzIKfWAAqtWyfeVwDm\nH35w/v7nn3E02GXLFt518n5wlXPnWNMqVuRe3rgBQBLEjQ4AACAASURBVDJ5Mut8q1buj3PXJykz\nq1Ti++NJjh7FaLe/40SuXGHNK1vW/T3xV/7+m/eG67iJnD/PGhwaClCcmkys5ctNri1X6dbNVIUT\n+Q/ESEW5G+yLlIZ8BLq95Hju/a1e4osB7ysA4Q0MuXr1qi5WrL1+8MExulix9h7PlVTISSDzYvjT\nXkqPsfcruSCIp/ZSqwyrp3Pdq6yM+11R1oFcm1944bZmsPLBJvriRZSiLFlgFmgN1V+SSlqWYTuc\nPInSJIqFJNQ8e9Z8V6MGCo6EjLzwAh7zI0cw5po1I4Qga1a8SKGhKJ0Sfj9gAAqeGGKjR5u2xVj8\n6ScUzO3bTbWPPn34bts2jgkOxqjMkkU7edq//960J4DC9ev0oUgRQhVCQ00ce2QkfRUa7fnz5vh3\n3kGhvXmTMRo9mmt0pb5u28b+lSvDaOjdm3Nv3sy5du1irF1LpirFGD7+OMZ87doY4+5yTDz+ODkP\nxIDOlQuvU8eOph+HDhk2zLvvcp/atcPw0ZrPYlhnyoTCuW4dRsVvv2HXLlqEcvzUU+wTFmaqwwiD\noV07lMVatfCKuiY2FcCoenUMgZ49YZ80asRvadIQF29XRq9cQXHPkwfQ4cABlFwBy+ybZZnwIwEh\nBg+mnzVrotBJ5RfxjttZR5LL4MUXAcjy5uV6cueGXj5+PHPluedMOUYBLJ57js/2UBVhMXXrxmdh\nG9Wvb8CQ0aOhnu/Zw9gOH07f9+/nOcuVizG4fNmU9BVDyeEgnEnON348CrZSAFRa69tgpXjD8+Rh\nPEqU4B4l/F8900Dbtr6sJD7J/b4229fl1auZF+6ACkkcmZJ8FN5kyxbWoEqVTKifN5k/HwPVF8Mq\nJob5ImFNIqtX8/x/+KHnMAHLAqBduzbp85w8iTEtDIW4ONagKlWcE4R6kiVLeFbPn+e5zJUr6bHo\n0AEA1C4//cQaKSFhIi++6Jxb4tlnnXP0aM31Zs9uGCmVK7sv91m0qPs8DW++yfvh3DnPIEazZrA9\n1qwhx5E76dSJ9TE2lrX28mXuY6FC7lkNo0cnfuyvXqWaleu9ff55kzDSnTgcsFuyZmWOHDrEO2n9\net4Z7kJ67HL8uHl3rF3LkhQe7juQ0ayZZ5aLZfFbWBjjlxJp1sw968NVfv2V906RIkZnCqQ4HDxj\nX3zh/nfJe2KvCvQfiJFKcrfYF4Gm56fU2PW1Eklyj7mT+TAAMTrptGlX6mLFOiWbZZGauT78qTxy\nL4SVeGszNYGFe5WVcb8ryjqQa7O9ZIhSesOYPfrGDePZvXDBAANCTbx2zRzSvTuUfHsMv9bOST2r\nVMHg+uwzXq7jx+O92bULY3vpUujtOXKgqDz6KAZrfDzGVrFieO+k3Ku0myOHCdNfsQJl8Y8/TPLF\nzz/nu6NHUZyqVTPHZsnCdUk4jGxjxtDXhARo1iVKoIBOn07f7R7uTz81eSik7SpV2P/3301Iw3ff\nwRpp0QKFukIFEzt98iRjGBREO5MnOyu9UgLxxRdpr0IFxs8V261cGVbC229zbX360L/u3U3VEtlq\n1eLa+vWD+WBPHqoU17lqFWM+YQLgjGTHd90efRTQYc0aZ4rq22+T70EkPh4joG1bwlSqV9f644+5\n/2PGmP0cDlg1JUtihH3xhVGa27blur78EiP9oYegN0dEMBdatzYA28SJKOxCJbeXUc2cGWPll18w\n3sLCMECqVOH8N2+asA+l8GqdOmU+p0nDNV+7Rl8jIvDUBgWhkH/+OWCHUsbDt2KFOT4qinmqFM+M\nZQEypEnDvateHaDoyBGAifLlOf6JJzAk8uRhLC9c4PqUAuiwLOZtdDTfrVrFc1Wrljm3hBJMnWoM\nniNHnMfm1PKfbn9hpUkDQhQgud/XZlmXHQ7mkLe4/XXrMF4DUYVA5PhxgOIcOUyCY1/EsgC4JJeN\nN3nzTZPcV2v6P3iweQ68yerV7kMVXOXPP1kzXcMjHA6evRIlvJd0PXwY4GHjRliFTz6ZdCjK7t2s\nBXaAZM8ekxTZLhcu8KxIokmtee6WLHHeb98+QEm53ubNEzNzLIt11FVlunWL/hw86BnEEJDkyBEe\n08hI99f2f//HeqA1a8XKlfwv1ZWERSjy998ADJLHSiRr1sTvHglROH7c/blFvvmGOdK3L+tu3rwA\n1ZJXyN21ffIJ/Rs+3IT/FC/OuyBnTvfhSq4iVVM8hQ9pTa6tiAicJslhRy1ZwrtMAO+kxLJ4T+TL\nh8PEl+vwVRYu5J3h7Rl79VXnPM3/gRgBFAESPFVFuBPsi0ACJskBITz1KalKJMk5xp/+pTQfRiD3\nkf74mhcjbdrFOjIy2iOzw96eP8Z4oMJKAhUGcqeBhXuRlXG/K8o60GuzWD1K6Z/yN9NaY1gqZZSy\nVatQHL//3rluvb3ufZs2poLIqlVUYciSBUO/fHnAjoYNyWUxc6Yp8Zk9O8b9H384J0cUT9+PP5rv\nhM47Y4b57rPPTK36woVRvIoVw2sj3126hAL80UfmuJAQFKJz5wy1XwCO3r0BGEaMwIO3bx/n+PJL\nk4dCtrg4lJfixel/cDBG9Ny5KOJXr8LueOUVc8zHH3N9+/YBmtjBjPTpGbvt22lL6NNxcYmBgI8+\nYtwee8woUD/9hJfn6adN+UHXxKOPPkp/evfGoH/2Wee8DkoRNvLSS3gxx4xBoVy2zPzesyfhIBky\noCQ+/TQhIqtWYUBFRaEc2nNijBvnnO/iu+8Mrd4OXqxYwX3ZsweAZOpUw8yQTTLcHzyIEli1KkCE\n3UMnrBfZRoygXUk+lzMnhk5ICB6yS5cYV6VQrnfscAau0qQxeTykxN/OnWYsf/iB7+rXh4Gitaks\n8vDD5rzSniSds1OlixXDUDh2jLb27YPR8dFHxFS/9BJGRsmSsGQkaWB8PJ5qpdhH5OWXTdvPPovB\nkjevSfY5dar5fdky7Vzq54UX/FpKkpL7fW2WdXnRItZJb4aExK1LKFxK5Pp1gIQsWfCKe6L3e5Mj\nR5hL3iKHdu/mWZZ15eJFQIIqVbyDCiJPPuk5h4LIX38RdjhypPvfLYvkxvnyuTf+YmMBsbt2xbDs\n3j1phollYdxPnGi+++033k2u7Aqt3YdCNG6cOCRkwgQYYyJ9+mCQ2+XMGfcAxeLFppTzuXPcW1c5\nfBiA1rK47ocecm+EFypkqoENG2Zy/GjNmly+fOIxatmS3+ziiUkyYIBvS8XZszAIq1Zl/c6alXem\nK5D311/Mq1KlEjNU+vcHCPnoI97NrgCMO6lalXBUb3L6NGt/7dpJs0Pscu4cuow/+T1EYmOZ58HB\nzI2Uqsvx8Tw7riwpV5EqVeIE+g/ECJC4C7sIRD6KpM6ZWuEqyQEh7HInw0iS6l+g2BGB2sfXPmlN\naEpkZBudNu2qgLFSUnqM/RoCHQZyN4CFe4mVcb8ryjrQa7OtfqNDpdH6t990TAxf1ajBLn/+eXsX\nPWcOSlOnTnyW+u0XLqBQffstL9PwcDxPdepg8JYujUISGooyvHgxBmKFCiY2V2rIK8X+AnzIud97\nzxgGgweTvyJPHoyzc+c4T40agCRVqrCffCdlD0+eNO29+qrxTv/+OwpVmzYcExREv3r3pp9SGUVr\nZ8NPaKi//861zZrFNT31FNfesiV9vn7dHCNbgQIAChkyALYUKZJ4n3HjUDz796dfHTq4D5to1QpF\n7fBhlKO+fem3KG9lygCMnDhhAJPXXnM2Ptq1wxs7dSoe/EyZuIfLl5tkZaNHO1OuHQ6YLlOmGCaE\n65YtG+01boyy264dfbAb2LLly4fBnzkznuoSJRLvI0qvxEoHB2NYXL8OKPHGG86AmFLmOhMSGEep\nTNKyJfufPAmA8MgjGKBiDPTpY9qQOWQvhXvmDGO5dSvfzZlDfw4fBogQEOTrrzn29GnTnpSelM+F\nChn2U+3aGDwXLnAfPv8cb+H+/cyTvn2ZZ5MmYYBI4tZs2QwjatQovuvdG5DrnXfMuQT0ypePz126\n6ETMrECn1L/f12allI6P5z66hh+4k+XLWeeSW37Rsni+c+Xi/h87lrx2RIYPB4Bz15+EBObbtGl8\n3rOHZ6xnT9/CULZtY6325hE/c4Z1cOjQpNubMoV3zO7dzt+//DIAbEiI55KnrrJiBeeVvv3+O8/a\nrFmJ93U4AF5djdYGDRJT+Bs3dg4ZmjQpcRLV77+HUeUqdeqYUI/z592DGJ9+SjiHSI4cieeAK9Pj\n++8BB+y/16sHM88uW7ZgENvnQtu27sc0JoZzJ8XE0ZrxGzrUhHYqBctS+jJ3LmvmgAHOpYpFtm1j\n7daaOeALkLF8OYBhUs9ZfDzrfc6cvpfwbdECPSIl8uefjG327NzT5LKzZs0CsPFlPXnjDZ4Vrb2v\ny3d9UU3JdqdADG9hHGKQ/dvYFykNS0kugwODPVqnTbs4oAa7r/smlcvC1318YVn42qfkADvJDStJ\nLqMiNcJA7hVWhjy/d4qZcb8ryjo11mYpNK+UvvY0LiapzDBsGEaZKByTJnFIfLwJO5GY0+XLUfCu\nX8fo7tEDJX3GDIyuYsXwPJQujeK7ejUKllKG7nrhgjnXY4+hJB8/br6rUweD1LIAHP7v/1AismfH\n0GvSBIM+Xz6Ah4QEvmvThmPeeQdPtN1Wk1ruZ8+i7LRrh7d75EjalfynixahaEdEwPT48ktYCB07\ncvyyZXw+c4Zj5dpmzOC8zZrRh3XrMAiKFIFae+ECnrK1azESXPNc/O9/nGPsWFgcc+ZwrvXrtbZV\nytVK0bfMmWGMSJiLsGfsHqY//zRgTY8eGPH2nBhaMx6TJ9NO5syAOm3bkhPk668Zt+efx5h57DE8\nra+/juIuzIddu1BuN2xgfsyYgcLvCkzMnk1+i4MHUYpPn+a+ZskC2HL6NIZ37twwciRWOn16ALW6\ndQGDKlY0IRQtWsCuePNN5sn163gAq1fn+y+/RAnetg3FtXdvgKiff+b6583jc+vW/N2wgTGMjOQ+\naE3bL7wAIDVlCve5bVvaL1IEho6AgfZQrKNHnUvsKmXAh+nTuWfx8TxvjRoxn6dM4TxDhzL21asD\nwkVH4yUNCeGatCZeX0AhUYoF1FCKcZTKQbcBGluOHLclGlIo9/varJTSn37quyEh8evuypAmJTt3\nMn9KlXLvHU+O3LrFnJWcQXaZONGEXH32GXMtKVaFXZ5+mnwZnuTsWYzTQYN8b3PRImeAWdadDBk8\nJ1h0lVu3eKYkT8exYzwb8ny7yoYN7kNi6tVzvo/x8YCPwlrRmjCOevWcj5s7l/eCXY4e5Z0rwLEn\nEOOll8z7WGvWaXn+Rf7+2/nYuDhTyUrk7Fnec/ZjLYv78dVX5ruhQxODHSJz5rBm+WqAf/WVWWpC\nQ+ln06aASd5ylzgc3HNhDE2ezP3yxiCSaii+PifLl9OniRO9P8d2fScQsn07ekG5cv4l2tWa+5o3\nr+/XKPPi2DHv6/LdXExHK6X2K6V2K6WWKqUy2n7rp5T6/Z/f63hpw79R9EPEqLF7oO9E3gu7pEa4\nSiCAkeQyOMxxq3RkZBuvIIF9f1/65ws44g9bw5eqIr635T1UxJ/rlP2TE1aSEkZFagEO3oCF1BJ3\noE5qJxu1y72uKN+Ta7ONd+9QabS1e4+eMsUoGUeOOJdxnD+fw8Rx+/DDJn65eXMMWYlL/vFHU4Fh\n8GAovsWKGVqtXZmReGR7SVVRIuzhGGFhKNq3bmEg9uzJyztvXozqxx/HKK1bl2NjYkwVikKFjGIp\njIrcuVHKBwxAgaxXj+3aNYxEe/jKba/1P+KaZLJ3b84rFS3SpTPH2R3bloXiLGDGwoVGAZw/n+uS\n8JecOVFqK1UiRMbOnihSBKXvl19oq2pVlPo1awjvqFPHue+5ctF2dDSghbt8F2PGEEby8suMZ+3a\nznkl7FvJkrBxTp50VvhGjyZ5pdYmJ8aLLwKaSE6M8+cBf4KCTJjJ6dOAFlmyAGLItVoWyrZ9Hgho\n06kToU+nT5tkqnZqt73c6QsvcE9v3sTT+MorzM958wArXn+dc40ezbjLPduyxbQhivz58wBVOXPi\nwbtyhXm0dy/X2LWrUSzj4w14I0k4b940bYrSevIkbch5y5Wjn1Wq0NaYMQA9wcGEmjRsiIHYqpXx\n8g4bZqrsSHjNrFl8jo7m8+bN5twLFmitd+1yqlakd+zQgZZ7fW1O6aaU0nnyOLO2kpKFC8l34isb\n48wZ2FhZs7J+BbrCyZYtPOuXL5vv/vyTObl7t6nw5C4RpSfZv58125Oxd+4cYM7bb/vPStm4kef3\nzTeZto884ltoi8i4ceY9ceoU1ybsQnfy9NPuAY46dZwTlm7bxjXZZc+exBU+hg5NXKr27bedcxZ4\nAjEiI53fKS+9ZJgyIj/9hNPALvXqJc7fsX49bAo70D1xojPAMn++SVbsKg4H81gSFfsidlaaUqzd\nvpQ8fekl3oMikyYlDWRMngwzxlc5fJh3W/PmBly2izBPAwUgijgcAEIREazp9vBLb/Lxx7yn/ZH+\n/VlL7lUQo5ZS6oF//n9XKTXyn/+LKKV+VkqlVUrlUUodVkql8dCGfyPio9gN1MjINvrBBxcHFEjw\n5fyBLJ9ql0AAI8kNT/D3uKRyXNj38wUcCWS+C3+YH76EithBBl8YAXfqHrjrY2oADqmRfyOp89kZ\nGHcyX8a9rijfs2uzZJFUSv/xSBFdsqRRLoRmKyEkdiDjnXeg/BcoYHIOZMuGEle9OmDDwIGmysi7\n78IsUApjT2tTJeR//8MQK1iQ74oWNXG5Z8/COsiY0Xi+W7cGdChcGKXm6lUYC3bgYOdOjpdcB0rh\n/ZJrWrkSBX3sWI4NCsJ4r1UL4EMSwlmWs8KVKxcK6M6dKB6rV6N4vPwyHqkhQzguLs75ODH8GzUi\npOK99wAT0qShHwsWcCvEG7p1K16yESM4R5s2sCJq1ECZU8oYMgkJjIOUTxU67o4d7CfMjKJFCb+Y\nNo3zv/WWYd7YtxYtUKjWrQOMOnwYg0Qp6NQffwyLo3p1zhkczDm6dTP5GcqX529wMMlLf/4ZsOrG\nDQPadOnC2Et53vBwgIyuXSEJFS7sfE9lO3jQGD07dgDoSFnbs2dhd9jJBUoZb+OwYfq2F/Crryhv\nK1U/unfHAJGY4XPnnENfJDfL22/r28CIw0GbLVuyRUdjZErSzZdfxsDKkcPcFxmjwYO599OnY2C8\n8w6/79tnzpk+PUaFwwGgMXIkhtNzzzGHpe8CFEZGGmNMAIwHHjDhU+vWmbZDQ7U+HVTYfOGpzEEK\n5V5fm1O6KaVuG8S+SkIC652rB91Vbt3iWQ0OBmjzpUJHcqV9e54BkaZNMXaqVAGI8/fc7dqZOe0q\nFy6wHvbtm7ywmps3ed5k6roLQfAk588z9/ftY70oVMhzLg6tWQ+CgtwbtTVrmrAIrRPnntCaccuY\n0fm7du2cQZH4eN4jksNC+hkU5Hyc5DWwMx/cMSUWL05MqnrvPdZWV+nVC0Nf7sPly7xrpDyvO0DE\nLtu3s3b7o9rZ2WC+AnLLlvF+tsvEiQAZnsqlXr/OvZaS277IjRu8Y4sU4b1nlzZtnJ+RQMu1a7yX\ng4OZS97AndhYgHRf2UciFy4Iy9bzunzXF1XNwvq0UmrOP//3VUr1sf22VilVwcNx/o2Ij+Js1KzS\nkZHRd4x94S7vRiBAk0ABI4FIBOrLcb4yIrT2F1Dwja3hS74LX0qxpkYpWdd++lN5JLnHBboNT+3e\nqTKsrue9k2Et/yZF+Z5am/v3N9qEUjphwSJ98CAfheIrn8XjtWABRnrJkih/BQtiPC9ahEI4bRpe\nrlu3MAolxnf8eH3bsBUw4bPPTNuiJB87hkInXvW+fWkvIgIgomtXjLcZMzD0JYv86tWmrcceAzgp\nUMAYrgJCTJuGEvzDDwAvU6fidezd25TdFG/2xo0oaCdOmKomWbLQbrZsKDsffwxY89hj/L5xI2BO\neDhsEWmvUiWo1ePGwTaIjk6cT6JFC6NwHT/O761aoVjFxjIm9v0bNWLsV68GcGjQALBi2za8buKF\nOnWK68uShfbsnrz27RmDnTthpRQvjse3Y0fajY1Fwc2UyZmOfPMmCu7gwe5LqD70EGENEREokhkz\nugcllMJjGx2NATBhAtfZty/HVqrEmO7YwZhfucL8GzQIEODVVwHMypWjjwLapE/POKxfz72wl9b9\n9Veuq0AB5nN0NADR5cvca/t9E9ZCSAjAgQAuN2+iuIeGYvA98QR9E6/86NEAfRJapbVJ5imlDH/7\nzZxDlsXu3c13EubzwQeEEFSrhvF28SJzed067lmRIii/lStj4MyaZUBDKalqZ2H8+afWV6Yt1Jb9\nIj1ZnCmUf9PanJxNKZUsAsusWQCB7sSymGsFCgDoBbBYjEe5cIHn/scfyfMga7XkcPFHpKSjfb0Q\nuXiRZ+KNN/wHMK5exRi3M8QiI2Fk+NrHHj14h1y4wPPprVSo1jxfngzX6tWdgajq1U2IpIhlEepi\nZ7lUr+5cavOLL1g/7HLhQmIQY9Ei3jV2mTvXOUeG1jC3evZ0/m7nTt7PrnLrFu8Ze4hKhw6GNXnx\nIv33dq9at/YccuIqK1Ywz376iVBEX5eda9cSj6PWvFPz5PGcG2bAAGcWpa8yfTprviR5XbXKuRpb\nasqRI+TAypOH97i7sZ8wgfd/cmTQIO/r8l1fVDUL6xdKqeb//P+hUqqF7bfpSqlnPByXvFFJQtx5\nhe8U+yI1vdwpBUZSkgjUDqL4cu7k5olIOrQj6VAWX3NiJFWK1de+Jeeape3kVB5J7nGBbsOT3Glm\nhNZ3Nqzl36Qo31Nrs2U5Zduy8uTR+vp1XbAgX+3bx241a2KEli+PIblgAXkPQkP5W7gwL8ZnnjE5\nF06cMJUexKszeTLttm+PAWYvn5ohg6FR7thB29u3G1rt4sUmVGXtWgzcypUBD8SIOH8eoEXalPak\n/OvDD3NMRARgwu7dUIkHDmQoLl7Es2W37eyetp07oQY3bgxb4sMP8aILgGG/Fimp+uGH9KlpU8al\nWzfj7RcRNoJsZcpgBO/fj8e/XDlzLW3a0Eb27Pq2A71mTdqOiHBuJ106qOjiib90CeApWzb6/fXX\neAVd6ciHD8PaqFiRdoShExICuFG2LCEVJUpw/OTJ3JfYWFgCcu0i8fGMY7t29LNSJZOrwV6pISGB\nEI9ChdhnwwZnBe7FF51ztSiFAd+7N8yKJUswcF591ZnGXq9e4jkxcCBKdMWKgEe//AIoJaEvsr8o\nsRs3mu+kDKHkoIiMhAkybRr3YsECvGSzZmGIxscbw1Apw/SxMyPKlAE4k89SlvHIEQChsDCuPyEB\n5lK7dhgOxYsD1gQHA4DNns0YFC9uKgl9/bVpt1IlrfX169rKlct8KfWHU0H+TWtzcrbkrssSzy4V\nY0R++41cLgULJi9vRkpk9mzmskyL5J6/d+/ERrTWrD9RUYCV/ky3c+cwRkNCCHXo2ZM14to11nyp\nfJFUnoL9+2nj8GHWsN69vfcjLo61Ut6DrlK1qknee/06wKk7lapoUWfgOHdu5yorjRolTp7pDsTo\n0SNxSdxt2xInCe3Rw+SsEklIoD13YTcHD5pqTVrzPs2d27AkgoO9l6s9dSrpKjdaM59CQ03+i7/+\n4j1mB3S8Sd267ivHTJjAs+QOyDhzJnFpXF9l507arVsX3cGeK+ROyJdfmvxK9lCu69cZN8nj5K9c\nuuR9XU7tBXOjUuoX2/brP38b2fZ5Sym11PbZL0V50KBBt7fNwqEMgKRmwk5350rNvBspCSEIRDv+\nMAxkf3/YHr6EnfhTFtWXvvoLsiSVBNT53EmXW01OPwJxXKDbcCd3mhnh6dyBOt/mzZud1ql7QVH+\n167NmzdrK0NGo7m+9ppevpx/y5fHAFu8GE9wrlx4ebJlQ5l4+20M+jNnMO47dsTYiooyoRV9+wJu\niLIodHyliC21V2qwG7VffMGL+o8/OKZdO7w42bNDHz1/3jkcQhSY998338kQnT2LklWmDF7AVauo\nbhIWhpctMpL2JeP+lSvOfXruOUJpLl0CEOjf37kKyPXrKGhSLUIpDHlhnEyYgFdl+3bD+BAw49o1\nA/p8+y3AzlNPAfRITozwcMJqhOFx6BDjNn06SuFrr6E8HzmCt65jR+f+KwWQkj07Rr+9ZK5sVatC\n1y1Thr5mzGhyLLjbmjThHi9eTIiQULo//hi2h8MB0NO9O9cUFcW9sQM4n33GOe3gRcWKGFNbt/J3\n0CDacwVoJk829/zSJYCgfPmYUwkJjGXv3s7H1KzJ/hIekz49IFDTpozjO++YBIbFisHQsCyuxV6F\n9LvvnBN2HjrE9efJA7ARGorSWbEi7f30E98VLQpjQmtTunLrVs4xdqxpb8oU9nE4DFunUyc+f/kl\nY9GxI8/k33/D0BgzxgAYQ4cSXnLjBuMh1X+U+sdz3KvX7S+sRx7B7R8guRfX5tTcUgIuT51qcjNc\nvIhxLmFu/oRIiFiWSZB76BAA8zffsDYtWADINm4cz+2bbxLu1KoVc7tmTedKSe5Kmfoily6BiR0/\n7vz95cu8T155xXcA4+RJAMmgINgBhw5haNsNbq1NeEn58s5JNV2lQQOYY5UqsS4l1Y9Fi0zJU3dS\nqZIBodavByB3J/XqGYZGXBygpLxrJFzFtUSuOxCjVKnEyR/l3WaXxo3dl/GNjvacmHXGDNYnqWBU\nrpzpc4UKSZcTHTqUddSTbNjAeueq0n71FfqEK7DvTiZNSlzmVuSDDwAcXOed1rxLk0s0O3/e+R2S\nJQsAdeHCvNOqV2deNWuGDtGjB+DysGE8a9Om8W774gvW3u3beV8ePQo4d+OG93kYH8+7LiyM5/Xc\nORwczz6bvOsRuWeZGEqpF5VS3yml0tm+c6Usr7vT4SR3SjyxLwKZdyMl4R+u/UxuKEpqlVV13d+X\nRJxJ9d1fsCPQoTH+lFv1tx+ejgtEWEmg81i4Hm+0EAAAIABJREFUY0akTbtYT5069Y4AGakJYP4b\nFOV7em3+5JPbb2krTRod/813OiKCF/bo0cYjNW4cHhp7acmiRVGM/v4bz3zOnDQVEYHRFRvLC3/h\nQhQzW1GU2wqnPRQkKAgDLSaGmNdChTDOg4PxVE+YQHuXLvHyt4ekvPkmzIoTJ1AYQkMN0DBnDl6N\nAQMwNvfvZ3vxRRPmUKYMxmnfvhi3kjhOKa4rQwYAhnHjjNH93HMmMVpMDNddty6gQIECGJbx8UbJ\nOnYMxfONN5zDV0ROnYJa/PTTKFCrVpk8CrL98IOJl/37bwz4nDmdE1vWrQsLRIyAp5/GVt27F8V7\n5UqAFldwonFjrZcu5V7ZKdq9emGgX70K62LWLMapSRMM5nTpTGUW+5Y2LXTjoUNR7EaMgA3y7ruM\ngev+6dNzr8uXJ8Fa69Yo/UrBQmnb1llZXr+ea2/dmj61bYuRU7SoaXPWLOZaeDjshwwZzG8RERiN\n166hcGbNitIYGoqn8OZN6NpKAaisW8dvOXLwnRgVU6cC8mXNSp/WrMEoPHKE844aRb8uXUJhz5ED\nI0lrQBeSrbEJhX/4cD6//DJz/do15m6BAszVCxdQ7CW5Xng49zZbNoyOb7+lr9WqMa4FC2ptfb9N\nW3Z0ypWGE2D5N6zNKdlSsi5LklcB6EqXZr1asYJ17aOPCJ8YOJCcGB078kw0bMg9LVuWZy97dub0\nAw/wDIaFsQ6WLElOi7p1WafatQNEeOstnsGJE3k2li5lfbI/h5KI1l8ZMcKUzxa5coU52rWrbwDG\ngQOGtfX664Y9de0ac9iV6aU17Q4ezPMheZfssmEDz0flyhi1voSfVK/u3vMvUqGCef7feMNzlZXO\nnVlTtAYcyp3b/DZkiPtwhwsXAB9FLl/mGXYFtywLJqA9zKJkSZMXyi4TJnDt7sSyWOckb8Ynn5jQ\nlZYt3ZeetYtUkRJmil02b2YdcmUdiQwfDiCUVNne48edw1FdZfx4gGxXIGPfPtZlXxKIukrv3syZ\n11/nfixYAACxdy+AxJdfAlDMm8dSOn4877l+/QA02rVjXBs0YD5FRaG/5MqFfpUuHc9thgys25GR\n3L/KldFBoqN5nuQdJJs/SXbdyT0JYiil6iql9imlgl2+l+RxDyml8qq7kNjzTkhqsy/cncOf8A93\nbSQnFMVfEMVf774/+/saJuIPOOELwyI1SsW69sOfpKCu/U9pWElq5rGws1MefriRz+DOvSz3uqJ8\nz6/NlgWHWYCMggX1yIE3dK1aKA0HDqD4yku5SxdeolmzoryFhWEknj+Pt8jJ66udCqHo115DWRk4\nEEP1+nVOX6UKL/UyZXhhFyyIIvbaa7z833rLKMc9e0KxFIXuxAnT/siRRlHeswdj8f33+a5ePYzp\nGTPou3iXjh1D0bQrCX//zTFiXGbJAgNjyRIUwaxZncu2LlmCEi2Z3S2L67eDGWPHOtNez541x5cq\nhWH/xx8YN507A5JIcjF7pZhSpWBWlCpF/6ZMwdjJmxcQ4tgxxk9o0JcuAUZFRDBuq1YZJV5yYsTF\n0d9XX8UAypkT41nyYkycaCphaM39XrkSxb1BA2dvv1KMz8CBgEZvv83969ePe5c/v/O+SmHQ79xp\nlPFjx2AfZMnCcQIUibK8ahU0bAFKMmQgU/uHH9LnsmWZ0nYPnx0sE/v95k3u1cCBKMD79jGuM2cy\nbhJaUq6cGTNJdhsSwudbt0wY0yef0F5UFOMqCWiffx4D78oVwD6p7HPqlPMzc+oUc0Y+16tn5nO3\nbqYvFy8yV4KDmZfh4YQitGjBPdyyBcNh7Fj6Wbmy1hPHxDKppPHatVMtjETkXl+bU7qlZF225ylR\nijlbvTrzunlz5tnrr/OMjRkDsDB3LiDHV1/B8Nm/nzlz+XLyq5bMm2fyy0ioQ3i4+7Kr3iQ2FkPM\nzpK4epW517lz0sDBzp14mENDWUvtOTUsi7ndrp33NubM4Xh7iEJ8PGuwUrThyzjt28e1eGPEREWZ\nnDNlyniuUDN8uKlGsmGDKb/scDDe7gCHixedQYw1azznUClRAtaNiGv+IpG9e3lHeJJLlwCBli/n\nvSzlOAcNYh1PShYuxAC3j6+sQ96Iow4Hzo1evZI+R6lS3isBjRvHOn7ihPP39ev7j9dOmQJIKOGD\nmzYxJ4YN8z9PjDeJj+f5/fNPQnt27eIa165Fr5g5E7DaXi67aNGkEwN7k3sVxPhdKXVcKbXrn22y\n7bd+/yjId63EampLapRPFQlkfo2UVrPwF0Txl1ngTyJOf9gQSYEd/rSZHNZGSsrephZLxp92ApnH\n4urVq3rq1Kk6bdpVKe7nvSD3uqL8r1ibjx/Xls1Ffa3bmzpzZl7YlSphMGXJwos2IgIlevdujNV8\n+Qy98cIFk6+hSBG+mz7dvHwlrtSyACWio1F6tmwBcKhfH+bBvHkoPyNH4u1v3BhFe/9+9m/SBK+7\nZfGCDwsz5xCPu2XhlSlSBDDk6FFTpnLtWtq3sxe2bzdtzJ/P8bduYVS2aoXNV64cxqLDASPirbec\nDZEnn0SZ+/lnmBmuYEbZsnhhjh/n+Hz5ABA2bwYcCgnBwzd2LB55ex8bNzYVYm7c4PhJk8jlULw4\n1U7sffnkExSvnTthBJw5g0etVCls2alTua6pU52nQmwsfW7Txrk9pQyLIWNGxqN/f6jLJ04Ye7hT\nJ1NhRmuub/VqzpUpE9T16dOZK3/8wTULjdkOXvTvjzJ+8yZjvnw588HenwYNGG8x4oTxMHWqKdE6\nfbpznguljFcuLg42Trly7Dt8OJ7r48dRFOvVwyMsZUs3bDBtSN6WceP4LIr+8uWMb7Vq/8/eeYdH\nUX19fH4gIgoIJJAChACRHpoUKSqCFAXpCNKkIygiIFKkilIEpBcpShUFpQuKCII06b1XpfeE9OzO\nff/4cLmzm+27CSEv53n2gezO3Jm5c+fMOd/zPefgGB44gPF77x7RtQ8+4NxWrrQEf377jf3v31ff\nSQdH1rUoXJjfdR1WUIkSCsBYtQqASLagXLeO9fbVVxwn9pP+jwbWM2e2Xw3Ph5LadbO3H0/08oUL\n6EtjWZLJk90exmuJiyPyXrAga3TYMNVd48AB1tDGja6PN3Mmz6OUqCj0XqdO9p0+XUf31aplyYqy\nNXZ4uPO6F0KQQhMQoJzWKVOY4yZN7EfxraVHD8BXR1KmDPUjbt9GL9oDPBYuBDwRgnQ7CcT89hvg\nhy2xBjEGDLAPJDRsqNqnSsaGLWxS13lPOqpdsX07c3f5smLtLFwIqOZMdJ37Ld8nO3eyhox1pezJ\n7dsAOrbSYIwyeLCq9WNPvvlGMTKl/PknOtlV8GHdOnS2dVrV5cuAcnXrKnAjpWT7dmyrO3eYp9BQ\n1rQnajxVghi++DyJIIa3qRmujO8rhoe3qSiesgpcaavq7va+ronh7vW5ytqQ27rLrPC2Xom3KSHJ\nXcciOVNXUlrSuqEsUko3z5z5yKrW06UTA97cLSZOxDH/5hvopXPnEoEvUAAj9eBBHFNNU5E7Ckfx\nqVOHaPTWreq7UaMwJuLjcS5792a/evX4rUIFIuMXL8LQqFQJgCNDBgpdCsGxy5VjvJAQnHRdJ8It\nj1OpEg7d3bsYV+++y3VUqoTDu3cvRsG0aZzLK6+w/549nHPTpjAybt7EYFi0iOiMvz/MB2PE6bnn\n1HE1DZroc89x3jVqwGqQBUaNgId1obaEBIxbWWRSjtuhA4bytWs42Bs3ci6yRV7RopZjaxpAzxtv\nAFqEhnKf0qVT98v6ky0bjIJnn8WAK1oUg00W+DR+nn2WKNXbb2PsTpoEUHHyJPNUpw7OSZcuzFel\nSjhqssirUd56C4ehTh11Hq1a8XeBAsxlgQJJz8HYpvDUKY5RrRpzM24ca+fFFzGkpRNz7x7H69uX\nKHGtWqy7qCjALdmFJE8e7k2VKknblmoaoMvq1SrVJSxM1c8ID+deSYCuXj3G6NgR4/fBA5zHfPkU\nK6VaNfY3mdT5zpunaiTI40ZEWD6qAQEAGHfvAmaMGsX+v/8O86NWrYepPA12W6aRSH57Mkta183u\n6OWoKJywHDlII9i6lft/8iTg6unTLg/ltVy4AHDXqJFiP5UsSaqglL/+sizE6EhMJp4BGSWPjmZN\nt2tn23E0mwHdXnkFcHfOHFWA2Fr27eM5cKdLy+nTjCtT8YKDXa8zYqxT5EhKlgTsWbYMPWhPtmxB\nFwkhRL9+BAaEQB/J+jfWYg1iVKlivwBm796K2XXokAoe2JIWLZIWEbWWL77gvXHkCO+BrVuTFg+1\nJ/v2sY9M53SnOOw//7CPo3osu3fb7rJiLePG8WxJJp6u8x607h5jS2S9Int1QBISAPtCQ117Nnwh\ncXHcV2N6U0wMgY4cOQAgZSDAFXkKYqQS8TY1wxXxFcPD21QUTwAQTwqAetKS1JcFO5OjLoY323tS\n48JXKSG26lj4uuDn42jB6mtJ64aySCndLMO7Dx2dqPzFRXihOHH6NEb2xInKmGndGudVCF760jeS\ntH/jdzKyNmyY+q52bSLfd+9ilEyZolJUzp6F9vr99xjH1h1DJF1Z0vo1zTIX94cfON/OnXG0q1Yl\nstK0KWBGiRI43UIAfkiqcaVKyuCOjSUfNigIJsShQxjS//zDPq+9hmF5+jTfBQXhFN+/jxHo748j\n/vvvsD4mTcJxrVHD8lo0jXSIEiVwfkuWhJJburRlXQfrT548OMWjR5PTfviwilJu3cq1GMVs5jyH\nDFEZBZIxo2mqPkelShjEhw9bRvNiYwETJHATE4PTv2oVTnaLFkmZIMZP7tw4EoGB3ONcuYgYWm8X\nHs59HTcOkOD4cZx5WfRTdiyRcx4Rodr3Zs2KoSdbxC5bBo09d25L4/XWLXW8Ll2IzppMOFSyyOeS\nJTAsXn2V3778UtX8kOrXmOIjv1u6lL8rVuR+7NhBas7gwURdd+3iXjdvzvNTvDjOiuyw8/HH7C+j\nmcY2rPLZunhRfSdTht5/H9ZFzpyAYEePsgbPnxeiYJ44EVPQsJiqVfMtH9qBpHXd7Ipe1nXSQPLk\nIaItneOPP1Z1FCZMQJ94mhLijqxdy/Mn0+yEgGkUGJh0Waxcyfey9bM9WbqU51PXWffVq8O0s76e\nxERVS6lMGfZzdM337+OMytpG7siePWrJO0pBsJZvv4Xd4Exk15GuXZlLe3LhAkC7EADpixerrhkS\nlLQWI4gRG4uutNfec+pUVVdj9WpAWnsi2XeOxGTi/TZyJGyyGTOSFhm1J7qu5txRPRF7MnUq7z57\nDrnZzHqUzDhHMnYswJqsqbJokUrlsSeXL6OvXTn3ZcvQsTNnJntWnhg+HDDc1nEuXsS2CQ3FFnDl\nXJ6CGI9ZfJne4ewYvmJ4pHQaiSfHdBdwcIWx4W46h6upJ8l5bcZz96bGha9SS3xRNNSd80yJFqy+\nlLRuKIuU1M3nzwvd4F3O8B8kNm3CUa1cGUN8716VNiKLdR04IB5F6H//HUeyWTMAAhn0jYlRzIKg\nIJzaTZtwtIKCiIC3asUL+8QJDG1JZzbW1ciQgboWuXNbpnO8/roqtLZpEw7dokWqdeBrr+FIPvMM\n21+4wLaygKKmAXrMnatyirdtY9/WrQFVcufG0DGbcZ5lOkDHjpZUZyOY0bZt0ijr8OHs9+ab/Js+\nPde+ahU5sfv2Mc979hB9Cg5mu4EDiZ7mzcuxa9SgAOnSpcyjrsMYaNkSQ3nBAv7v74+D36cPET0Z\n9ezSRUUDIyJwWrp1A0QKDiaSumQJ8xEcDAskIgKWxdixGOUFCsA8eP11xl+wgHNdsAAD69IlHLfL\nl/lbtiLVNBwZ+tZb5nWbTBj7hQsnbbcaE6PWm/HTty/RM5OJdVCoENcui5Tu2pW0Y4mk4kq2g78/\ngJgE7k6cYI5Kl8ZJ69eP7W/fVqDG11+zVvftU+PKloRvvAFmkC+fahM5dy5rKX9+uiRIdpEEY0JC\nlGMnmUUhITCPbAEY69bx9/PPA5glJsJmmjmT9fRdbtUSSH/+eVC4FJK0rpud6eU9e1i/ZctaFjZM\nSGDNSL1gNgOYjRvnwqR6KImJ6I88eZIWWRwzxnaBSSFYr6Ghyhm0Fl0HQFu5Eoe7Zs2ktSdiYmC8\nhYaiJ2S6nyPRdTpbffihy5cohGBuZftjTeNcgoN5HzlzfmXE/vffnR+naFGewbAwx4UWZUeSxESe\n4Z07me/27e3vc/cuLDIhYHI4YkKsWwfjSgiCAd262d9W1jtxNvf//sv6/OQTAKkXX3SePrF5c1LW\nnivzaBRdRx926mR/m06dkraQtSdff62AjIQE1r7xPWOUyEju/ahRrp/vqVOA0m3aJO0w4ys5fpx3\nkTNm0J9/AqzVqGG7uK1RnoIYj1FSuoCnLxgejzONxJ1j0smjkXjmmWU+q4chx/VlTQzLbV1rn+ru\n9lJ8AT75AnzwRdFQV88zJVuw+kLSuqEsUlo3yyRiTRPmdOnFpzX2C5MJYzwwkCi3EORlvvSSct63\nbVPGi2RGnD3LPpJWOm8eL+RcuXC+g4JgB+zYAeiwbBn0yJs3FZ1ZvpAjIhTVXtMUvbhdO/Wdnx+R\nqL17iZLlyYNjkJiI42hMSwgKwonImZNrMRpfWbJgDEyfzjV89BFjvfoqhqiMFDVpYrmfrOvRpw/G\n//r10H2NYIau42BL6rbJBOjSpYtqqzp5smW7wNdeYyyj3LiBAfvZZ5ZFRq0/L7/MHGzYACBy5gxR\n/YQEVTk/JgZD7/Bh5v2XX3DYjXn71p/KlXG8ZY0Qoxir9ZvNKrVEXt+UKZbXN2IE68oIXkiDUnZC\nqV/fdlHQtWuVUR4Xx3kHBADsbNlCxDtPHsv6E6VLMycVKliyHY4e5XyrVoV9UbcurKGZMwGBYmMB\ni/LlY3tZtV8yMIzrcuNG9d1LLwHYnDwJiJQrF9FhPz/W1/LlfJcxo7rPP/0EWPXff1zf2LFqPOk0\nGetnyGdszBgcD10Xonul/cKcLr3aSFKQUkjSum62p5evXcNJDQxED1izDdauhfljlLNnWQ/HjzuZ\nVA/k+nUAtRo1FMBmlIoV7acrCAEoULy4bUd240Yc+pgYUsBatFC1J+7f5xkODKRgqXWLUEcycSK6\ny16aiS3ZsQM2V+3anJNMs4iOBqz284MRZ68V644dOL2uEJUKFVLdipxtnzs3TqifH2sjLCxpu1Gj\n3LunQIwvv1Qpl7bk5En0ohCAtKNH299W19EprqTm/PILevO55+iAIouYWsuePQBXBQoQNFi9WjwK\nNoSGwjpz0dwWQgAm2OtCIwTArDNGhVHGjEH/Xr7MemjVKuk2iYm8tzt1cp9VERUFiFGihHPGkrti\nNsPQmjLFte0TE7EdZKHee/dsb/cUxHgMYo994csCnlJ8FUGX5/0400jcLQD6zDNrRVhYW4dOvqct\nXn3dScXd9qnubm88f0+BCF+CD75cl7bO01bqypPAykjrhrJIad0sw4IPHZ/D6UuJKxfixcmTj756\nlEfdvDkO+9270B3l7yVKKHBjxw5eqvv3Y8yXLEmXClk4rnp1onNTp2LsvfOOKjC3cCEOo6ylsHCh\nOoZ09qKjMaCyZsWAHTKEaFPDhjh2xYtzPJMJx91YaFTTiBAKwflpGnUjZHHNVq1wfqtWtby+evU4\nbkgIjvLWrVyDpuFsf/EFhk25clCBbbUfXbMGI/jPPxljxw4+I0cSudU0rkt2SFm1CjrwgAHMe4UK\nzGumTDjYdetCK7UFYjRtigPz8suMmSMH7A/rbV96iVvfoAFOWJ8+GP/GFoyffEKEtEwZDO0sWUiB\nadgQY3vKFKK6mqaYJprG+X33Hde8Zg2O+08/YfhaF0jVNIznkiVxikaM4FOqFOc+Zgz06mHDmAsh\nYEIUKcL5NG4MkFGqFPdi8GBV/LVKFfLjdV3dM01ThvbEiTgoL7/MHFy6xL579/IJDgZsaNJEGbxG\ngOHoUb7PmlV916sXztiRI6z7LVsoHtijBwwRf3/YPDVqsO+2bWx38KBa48aWvF98wWNasqR4BOQI\nAXPE3x+W0Zlj8eJI+lJqp6pVUyyNREpa183WejkuDkfJzw+H0l66QIsWSu8YZdo0nmtXC1C6Ilu2\noFcHD7aduvHffzxTjlpc6jq6oFKlpMU1a9ZURT2bNePcb9yA9eHnhw49fNi9c5ZFIR0VoTTKvXsw\nEIKCYI79+iu6zLoOxq1bPIs5cgCyWps1rVs7Tg0xSsGCgKuSSeVIKlUCcH7+efR9iRKOnWUjiFG7\ntmUBamuJjVVMj6ZNVfFne/L++66XxDGmbC5ebPnb8ePo2eBg2Hxy/fz2G6B7/vzo+YED0UmTJrme\nLiXT4Wytm+hodLw9B92WjB6NTj9+PGm9E10H2KpVy3mbV3ui6zwD/v7ud/VxJNOnqxpe7sjNmwQF\nAgKwd6zV/lMQI4UlJdgXxmN5w5qwlichjcTdfdxJEUmucT25Tm+Kdaa2tJLkKsb5JLIy0rqhLB6H\nbj59WuiGapWbqg0XQih6u4wM3LypjJxPPsEIWLyYvzNnVhGfn39W0aj16zEo5s0DoLhyBQc1IABD\nwt8fB1v2e//iCxzKWbMwUo8dU8UppWG1axeOZteuOOmHDgFCBAYyZq5cGHiyK0V8vDrvvn3V96tX\ns2337pzHt9/imPz6K8U1ZSFH+ZFdWaRs2QIoU6AADntCAgbEpUtct0ydMH6Cg/EvX3mF6yxZkihi\nnjxJt9U0QJXOnaHqXruW1Bh+9VWYD9evA0DkzcvYCxao6xSC86pYESNpwAAAlyxZYLJ8803Suhj2\nWu3dvs19aNDA9vlmzIhjVqUKqRU1axL1ql0bwMh6+xUrYKxIR+7YMRyFXLkUeCElOjrp/uXLY7Se\nOcP6bNKE+Wzfngjf3bvsa0xJkfTkM2fUd0OHcv1163Ldv/6qIlxBQThEuk6kVNMAcRYv5rcePdQ4\n69Yx9pUrgF6LF6uo+65drNElS/h33z6uPSBAdSs5cULVG8mVi3GqVFHjy2fAZOJeTp3K379VHv5o\nI/2551K2cuRDSeu6WeplXUd3hIUBcDqKyEZE2G+DaTYDZI0c6WRiXRBZ6DggQK1BWzJ5Mo6tMzGb\nYZO99ZZy9vbtY03WqUOam2StZc8OqOBJ5pLsVLFypfNtdR0gNDgY3X/3Lrq9UCHHRRwvXACwCAjg\nXRYfz/OcLZvrXSdCQ9GrrrTubN4chljx4tRFcUaIkiCGyQQYKuvh2JM8eVSxVmdsl/nzk7637El0\ntEoBHTCA7y5cYL3kzMn6sga1/viDd+DPPxNUSEwEPKhWDXB+927Xjr1gAffRFhBYt65zsMZaRo1i\nvObNARilfPMNoJIMzHgje/awLmQreW/k8mXeN85SQxzJ3r28E2Qak5SnIEYKSmRkpPj2229F+vTL\nkpV9IY/lDWvCeixva2r4qkOGu4wDX6eIlCjRUaRPP06UKNHRJUaIO11HkqN9rC1JTWklyV2MM7kL\nivpa0rqhLB6Xbh4/XkgnKF7LIBL2HRYm06OvhK5jwMm/hwxRu06ezHfp0ysna9w4jJqICAz1GTMA\nKMqVg5K5ZYul496mDfsZi4Xt2sV3N26o777+mm0GDcKBmD0bh3DnTsYdPVpFxYOCMHQXLMChPXcO\nJ7dYMVVcccIEjM0dOwAVatdWVc4TEy3TBDQNpkX37kRitm/n+iSYUbAgaSzSIb96FUP5/n3Or2dP\nzql0ac5T1ukwSp8+zO3RowA/PXpgmDz/PMyD1q1hD2zbxvXmzq0AIHnOK1cC5uTMiTEtj9O5s2WX\njzt3iCR16QIQExBAJHXePByrli2Zsx9/xBCsVo25zZ+fKOyYMaTG3L8P5dfakUhIwKFq04Z5qF4d\ncOr27aQRSiN4MXo02xw8CHOjf3/ui/E+9O5t2W7ul19YB599BusjMJBzT0hQNUk0jTQb2f0gQwa+\nmzOHMb77jnszfboCFkJDiTAmJqpIZVCQivoaC9hKBtGDBxjwsjNBixaAIYULE30fMoR5vnULR1gW\n9ly0yPIa5ev28GH1nczxHj8eZonZLETs7sMiXsugNkrOYgsOJK3rZk3TxPHjrMUiRZKmfNmS774D\n8LMnFy/aj0K7KvfucYwKFSx1gS2pVg2WlyuSkICObd2adda4McvrpZdwznPkQL/Y6kLkipjNKh3P\nmVy4wLbFi1t2VRk71nFxS6McOAAAI9PUHN0Xa5HvKls621r69gUwrlzZtfoS9+6hV/ftA4B1Jq+/\njv6UIKcj+fdf1perpCxjke6PPuIeDx5s3+nftInzkUw3WXNJ13nvBgbyvnSFSdGlC3WXrIH6mTNV\n21p35KuvFCgTEcF7QdZ68pXcuQPIUrmy/ToyzkTXWYtGm8pTMZuZ9+BgwKdr1xzr5ceuVL35pDYQ\nw5ji8Nxz7zit1eDNcXxZKNRXNTU8dbpdLbrp6T7u1q4gmr9GlCjRJVm6iLgKesjt3W23ajwvb9rr\n+rKmRUoU40wJ5ocvJK0byuJx6WYZ2n1owdwt8LIQiYni2DFl1BQtallToEkTVS+iZ08iciEhRMli\nYxVtc9cu1dGjXTtSMEwmIudG5/T4cZzqTJn4u1w5lc+8Zg1OZ0gIjn1sLCkOc+aoqLk0ziMiLJ1L\nTVNOgq7T0SRXLoyG+HiiiLVrM6Ys0Pn998qYatNGtQSVnzJlOL/nn8fRrV/fIitHzJlDdL9Ll6TT\nvHkzcyTbkU6aBOAhBCkR1tG16GhAjfHjYXHYYkBUrozR0rMn1z5pEkBPWBi/h4byb/fuOMIbN1Lb\nYeZMAItPPwWIsDW2/DRqRGTv0CGMN6Ox+dVXKo1H1vywdX1SZK2QadOYS03jvtepg4P43HOATY0a\nqXMPCWHsihVVfYo7d3CoXnqJeTt4kONu3046h0zV0TRFV582TX0ngRdp7DdsCKBz6hQpH506ARbV\nrct5ZMwIW0IISyZHQIBilNSty766TrTCKI00AAAgAElEQVQuRw7O49NPmYccORijcmUinjExAEzB\nwaoQ7RdfcIzbt9UxfvqJc3z/fVVfQyQmiluhL6uNXnklZdpe2JC0rps1TRP+/gCfrkZe33iDKLUj\nmT2bZ8CTaO6+fazXHj2ctxW9eROn2sjQcibR0TCBatVSSyxbNp53dyj+tmTUKPSDo+tOSFApOyNH\nWl7jtWt87047ViFwzuW1vP02mN/+/Y4dfU3j2XdFDGWmbNZksJb79wExJk5M+r6wJe3bEzjImNE1\ncOKllxwXI5USGwsALs/9k09s11QxirGl7IED6EHjurh7l3ddUBAgraO0GvlOnzzZ8vvLl9GZnqRd\nSebcG2+gO2XwwpdiNvM8BAaq4uTuyM8/885zpx6MM4mMBEzz83Oslx+7UvXmk9pADEtHba2YPXt2\nsrMvfJFG4ov0ASOTwx0AxF0QwJN93Lm+5E75SInrNe7nDmBiLclRayW50z5SgvnhraR1Q1k8Tt18\n4oTQM2ZUVsxHH4mzZ9Wf0qDZsUN9V7w4zpTJRDShYUPoq6VLY1zKAlrvvYdzHR9PRL5nT8Yymy0j\n5QEBOKK6DsggHUohMPAaNiSa2LgxDqJsLbl7N4aSjAQJAaPC6ISPHatYFleu4GyWLo0BW6sWDr6u\nY4yVLEm9jlWrcC4jI7n+okUZKzCQ692zh/P7+WfOt1Ejy2NK5/vtt/mtRQto2p07Y9zZaq1apgzn\nU7o0RkjGjEQPq1UDUBk4UDFbNE0VntQ0rmnQIJya1q3VNdoCJUJDSZvp1w9WxaxZXMemTaqWyIYN\nRJOHD+c+1qnDOWfNCoBTuLACSqw/VauyFurVo15G1aoAP3nzJt22enWu64cfAJyioiiSmD8/TB5j\n28SdO2GgLFnCvenZE2fryhXGXrwYh8ffX4FFslBdRIRlYVQhuOfVqvF3+fLc51Wr2O7MGc65dWsA\nJlnbwNhB5+ZN5itvXo5VsybOl64rYKhpU9Z6ly7Qj5s1Yy2cPMm4TZuSWy5Ti6KjMepli1wJnOze\nrY4bGyugqTz8Qs+YMXkqRbooaV03a5ombt50fT7+/RfnyxlooOuwCYYNc31sXed59fd3vb3l7NlE\nut0VYxrh2LFJUwo8kb/+Qtc76sKwaxd6uGbNh4Cdlcg6Pq6K2WyZ4jdqFKB5t27oMT8/gPlp03je\njA63pvE+cEWMQICxHbg9kSBGkybUgXImI0bw/gsLc+18unQBeLMlMTEwFN57D4CrWjVVe+fAAedj\nb9tm2eK7UyfbhUl37eI9VL26Y9Dp3DkYhJKFKaVsWdfm0pYY3zPTpwNw22th641s3Ihd8NVXrjNf\n7t7lHWbdQchXQm0z+3r5sStVbz6pBcTwRSqGq2Irov04O5HIMTx1GJO7HoYQrncxMV6LOykf7qSf\npMT1Wl+Lp468r5kNKZn2kZrbsKZ1Q1k8bt1s6Fena5pokfVXMWECdM7GjdXL+d13lWGQMyeGW1QU\nDt+wYeTq58wJo6FMGQypHDlgVty7R5TdmCtsZDoYo0azZmHs7tyJ4REWhqPbogURwgEDYECYTBi6\nYWEUjtR1omDt2qkinvLz+uukVdy+jYPu748jX6SIOqf4eJxquY803CMiMPTq18egDw4GzLBu5SZr\nhRgBhIoVMZy/+w4QYtIkoowjRiRtByo/DRqw7d69SSM169cDDgjBnE6dikNcoACGlDX7oX17wIgf\nf8RwL1YMw7VuXc5j924V7TKZAE8k00YI5vS//6hj8fnnSVvsaRqMlsmTuW8LFsD2WL2a9dGjh6Jl\nFy3KmpIggJSEBNvgRVQUa2DGDMsaEdKwjYrC0G3ThnmuXp3fgoNVvr0xNeiHH3Bc5s9XtV/q1GGc\nmzcBxObMYS6HDuV633qLOVi5UtX3kG0FzWY1tjT+f/tNPAJGYmLAF/z9MfSrVuXY/v5c0wcf4KyV\nLcu8mc2s8YdY4qN7YlwX3QusE7px8h21KkgBSeu62V29PGqU6u7kTC5fRl/aawlplKgogNDixd1j\nIbz1Fs++O5KYqNZhxox0//G2Xuz164CQ9tJx7t+n1WpgIHrUVvR+925+d7W2QUQEOrtqVZ7HAgVU\nC2Uply8DIrRvD/AcFMQ7ZO5crt8eEGAtxveNK90v7t+nPlHOnK6lOixerFpuuyI//mgJwERHA940\nb47+r14dHSRZj7INuSuskJ07SWOScv06YJCtOjGJibBN/PwA2o3vFqOsXMn8G+vIDB3quGuLPfnz\nT8siyfXrkzaaKRMMlaZNYWusWaM6Q3kjly/DsKtb17V6K50722937Ct5CmIko/gqFcOV4/gaKPFV\nTQ1vIvbuAAzW5+3KHLjTxcR4Tq7Uz5Dje5J+4kn9j5Rst2o8tq+ZDb6sueHqMVJTwc+0biiLx62b\nExIo/PDwrW/KkFGIa9dEXByRYhn5unSJwpc5c2IghYRQj+DyZSL8CxbAUsifX3WPCApSfe0vXlQO\n5sqVpHcsW6aMjdatlUG3dq1KF9m5k7EuX8bxL1SIY8syADdv4sRqGucnwYf4eAynF1/EKG/WjOhX\nvXr4fpUqMa6mYdAIQaRfRuACA0nnkBHyRo1wOm/dAoyQHVKkE/L226ptnL22qta55J07Y+QJgYG3\ncyfARLt21BfJlAkDrEsXQILSpTHKjYaXrmPgd+6ModugAfNnMsG6kPUfpNy4wbx/+CE1KrJmxZkf\nNIhr79wZA7JuXeYnZ06coSFDACeM6rRxY8tIYnw8x27Vinl/800cAllsUwiubcwYS/CiSBEIBl99\nxX0qVIhrNxZalR1gLl3i2mQ3GT8/Iql37gCUTJoE+NW9u9pXFok7ckR99+qrGNm6zr2tUkVVe9++\nnf9fu8b9CApizcmuOrGxAEKaxhzkyycsGEwSpGnQAEZNSAgORMGCrJcxY4h+zpgBCGg2A6BlzYpz\nI41hWZNj3Toh9GvXReIzBtaUn59v21x4IGldN7ujl3WdNWFkEDmT+fN5zh3Ryk+e5Dlt0wYww1WR\n0X53Xt8mE0BjzZqs8Xv30F3t2nm+1EwmnO/PP0/6m66rotCdO9t3As1msqbmznXtmCdPolO6dSPl\nK0cO9nVU8FLXYQXMmqVqgWga+xYpwruwWTP05vDhPLu//EJEXTIV27Z17fxk6+SQENe2lyywDh1c\n2/76dbaXRT6zZuWefvutsMks6tABlp+s5+RI9uzhnWSUr792zFq5fJm5K1DAfhHavn15z0jAbO9e\nQAd3ZPFi7IrNm7mfn3+Onr19m/V79Cjb9O2rCoLnyAGo06sX83XwoPM0LWtJSGD/0FDH6St//cVa\n90WRUUfyFMRIRknONpJSkgso8ZWT6ymTwxOAwXhMV0CX5E738GQOPUnzeBztVo3i63Xu65ob9o6R\nGgt+pnVDWaQG3fzjjxYR3uhSrwgREyPu3FHFCYXA0X3jDYyvSZMwBKpVw2HPmRPj4d49nEJjloqM\nHu7Zo77bs4fvIiIUCPHccwAVd++qyNv06TjQdepgmEycqMY4coQxtm1T34WGYlxKx2D3bpzbZs1I\nQ1mwAGPJ2CJT03BcQ0KUE3LoEHRfCWZERlL3oEIFgIyYGAVmyDF+/ZU0hqNHKQh38yYGy6+/YuBm\ny8b8SVZI/vyqZefNmzi4a9ZQt2LwYMCXLFksz9P4CQvDCa5ZE6ZMy5aAP9bbTZqE4d2zJ+dRrx7O\nSZEitjuIyE++fIzbqxcslMWLucenTgEUTJ8O+LRpE06Inx/OxqhRzN/581zf7t0YcOvWsZ31cfz9\nATw+/RRQ5IcfAAACAjiudN6GDIEGLQGMSpVwPOLjWYeffELOdoECAEx58rC/EMzx1KnqmJJevGAB\nf2fJQqQ4MpL9ly/H2C1cGIChZEnW1J07zLmmqefCOK6MSG7dqr7LmhVn4v59oqR58uBcyfU2ezYA\nhzE/XK7zatUEHqV8SDQYUy7x0JNZ0rpudkcv79+P7nGHtaDrRIptOfhCqJoo337rfsR40SLX0yGE\nAGxo3Zrn0Bgxj4pCvzRt6r5zJwSAaLVqSUGQixd5josVc06tX7BAgX3OZPVq3kWyq8jAgei9PXsA\ngV2Rv//mWTSb0fXHjqH3fvyR53PQIJXqWLmypS7r2hU96ajoY0QE27pSP0MIVeh6+HDbv9+5AwNh\n/HjuYYkS6nzmzHHe/UQWDn33XdWZzJ7s3w/7zyhxceivDRsc77t+Pds1bZp0fhISAOhlcWRd593q\nCvNI1wGGQ0Isu33oOjq8bFlLIN0o165xXqNH874tWhQ7pFQpahF98w3vN1dYFsuWsfZsPa+xsYAy\njtrp+kqeghjJKN4WUHRFkgMo8XUaiSdMDk8BAHcLaSZnG1TvmBWu7/O42q1an7Mv2RMpAQAKkTLP\nqDuS1g1lkUp0s+jRQ+iy16Omif8qvyuE2SzOnsWRX7sWxy84GMNIghZDhxJdGDaMyMbx47zAJ0xQ\nhlSJEhzi118tDb5jx/g+Ph7jKySEKJi/P9Gdo0dx1Pv2xYiVTqORwXHrFoaRrOkgP1myQOPfvBk2\nxaefElGXqQY3bzJeUJDlfqdOWRrLRjBj7Fjo1UWKqNzumBjL/eUnb16iPBkz0kLzhReSAifWn5Il\nAVg6dWJeZ8/G8T90CNCjcWPmuWdPwIfAQCKDy5djYM+YQW2Izz6z8HkffYKCoLL+/DOG+rFjGHES\n8OnShTl58AAn+6+/ABTGjgXIaN5c5U/b+6RLR/vdXLlw6ooVs10HRII+V64og+/wYQzcgACYNhK8\n0HVAoZkz1b7DhnGfdF0VYv34Y9bnsmU4Tj168PuNG8yrpmEot2+PA3Hpkhpv3z6O1b49a7F5c9gZ\nO3YAzhw7xjnImhVNm6rzlqlEmoZzpuuWLJIpU/ju7795bg4exFhv0oT0lIAAjOUiRTDmly9XbVfP\nnjZzMkYAw9WQbzJLWtfN7ujlXr1wbt2Va9d4VoytKePjWcsFCqh16a40bkxqnytiMrGkqle3Xf8i\nLg5guk4d9+pjbNiAzjGmuSUm8mz7+fEMOANGIiN5pp21FpW1lnLnVu0m4+N5tk6cwInNksU1MGjo\nUHSoKxIXhx6WOmTCBObKz4/7164d6YRnz6pjSxBj5kzXjiE7eE2ciH5ZsYJzrF+fd2aWLOi1Hj1g\nnOzfjx5ztZVv7tyMu3kzTryjOTp0SL3PjbJiBXreGWMnJgaA3s8PnWfc/soV1ossltm1qwKh7YnJ\nxDuwZEnbwJGuA26XL+86AyI6mudx1izGrlKFOc6bF+Bt0CDeMWfOJAXWTp5kHtq0sXxWBg5E36eE\nPAUxkllkxDc5nCNfgA22xnzcaSTG83Dnujw5prvpIZ6AEu4wK7wBb1K63ar1OfiSPZGS3USS8xl1\nV9K6oSxSkW62oDlomtj0Sn+RmIgB6e+PcfT990TAf/8d4/vkSSIZAQFQo0NDVa7trl1quE6dVAGv\nLVvU9127sr2uk1JQqBDObcOGGGhjxwJgVKxIioKMzBjHkCkrt27hQGsa59a2LcZN3rwYpdOnA3i0\nbWtZUf3vvy0uW2gahstHH2EUHjgATbRpUwzWoCCMsBMnMGLlPBw4QN51vnw4pMOG8b3JhOF69SqG\nz8GDUHI1DfbEG28wNwEBpKXYSt0QguigdHaks1u3LjnAXbrAAjEaoB06AIRcvUqtio8+IsKUOTMO\ny7BhROCksTVqFGCPlOhoGCoTJ+L0FyoEGFOlCobhpElcw4YNRKpiY9XxExK4j61bq3zuOXPYbtYs\n7q8UI3jx9dfM448/Al7VqKHa5hk/0ngcPFg8Ao1atGANvPcejoTJpKJjmsYxzWauy1icVLZR/Pln\n1VmkaVPu2csvA+zs24czVbMm9/fePRUBzJsXVtCkSbBrjKksknF06pRq43rtGsdZsYJz27QJxsev\nv/J8+PvzLH32mbAo5Ck07bG1U7UlaV03u6qXExPRC+52zZCyZAnOY2wswFrFijio9qLHziQ6GsDU\nWGPAnpjNONrVqjlOV0lMxDF79VXXnMHLl5mTTZvUd7t3w4aoUQM96Ir0748OcSQREYoVYQRMlixB\nt0rJkcN59w0h0G/OWAVS+vRB/xvrRAjBvB47BrD83nvojty5+b/soDF3LsdZvpxUhqlT0cGffw6I\n1b49eshYPyooiHfEwIH2HWkhSMV0pYZGTAz61WRCnxUt6rig5tGjttvC6jrvFBlocCYnT3J+pUop\n0EkIAIygIN59a9eSxuPo3Bs2ZBxHa1LX0cmVK7uXXmUUsxkg6pdfeOdIAClzZsbt1g0Gxq5dBEja\ntAHsOXUK4MffP2nNKneOHRXF2j1/nnfNrl28u1evZp3PmcP7Z+RIx3r5sStVbz6pxlBOJvEV2GAt\njzuNRO7vSTcTd2toeMJ6cAf08OQYnta48LTbSGpPK0nt3UR8LWndUBapSTfrumU/Ok0T44vMEjdv\nYjDlyYORXbasenEWLMhL++JFoh2ahgMvHeM7d9RwAwaoQ50+rQpw5chBscvoaFWDYO9eHOgqVTiG\nbEVZuLBq0Se7TtSrpwz+CxcwFmvVwnAYPVqBC3nzEh2T5/Pbb+zTpg3n9t136rds2QA7WrWCTZAp\nEyBChQoW0yO6dsV4s57GnTthTAQFYbiPHq2cZSGg7hojpboOu2P5cgzU2rUBSnLkYH+ZQrFiBeCJ\nkUFx+TL1JAoWxHCaMAFnvn37pDUxhMABX7sWA/yllyyvR94/WSbl5Zdhb8ydC9hgHWlr315RkGU7\nWdlu1V4tkAcPuPdr1qjuL/JYWbIAEjRqxDy8+Sa/NWmCMWg2s84WLsRBkOyPZcsYu18/QLb//oPA\nUKiQqpIv5+v06aRr4MoV9V3v3hynXz/mfd06wIapUwEitm1TEcDwcNUBRwjL+ZRA2c2bii0khOre\nkzcvz9GkSdzvc+dYL0OG8G/MxG8tb4xsp5NKJK3rZlf18vr1rElPRddxViX4+vXX3t3mX35RBYAd\nidlMitxrr7lWb8NsZs2XLes4RSExEWbAiBH8HREBSyAggOfW1Ws7cwb958jkO3UKHdK1a1JWx2uv\nKb0gBLrbGaMjIgLH1F4RSqNs2MA7cdIkdI0j0XWcYOM7plQp9FKDBgA13boB3H7xBTp89mzA3OnT\nk+oUZ3L/PtfhrFPO0aO8U6VMnuy4o82JE+hUW3LoEOvXVfBN12GxBQXxzpApGyNGsH4iIwHjbKVy\n3LqFnm/VyrU0J7OZVEZX17qrcvcu77yJEwEDy5TBVihc2FJ1y+Li33zD9fXvzzPRoQNrp149ALcK\nFWByhIbyznn+eVh5mTLxTs2XD3ukfHmAx7p1uV/t22O69evnWC8/dqXqzSfVGMo+FungJ0cuf2pI\nI/GmZai7NTRSogWqp+wQT2tceOLop+a0EiFSdzcRX0taN5RFatPNxqqJmiZM/0svWubcIPbswbgu\nWRIHOF8+DL3PP6cOQkwMTmK3buwaFsZQGzda1nUoVw5nTQgYGC+/zMu7cWPAh++/x/D098c5kN0h\njM5hp05EInLlIirx0UfsK4uGHTyoOqVUr875nTyJIfPXX7brMshHZ8sWjL/SpYkkNm7MeNHRHHPG\nDAwua3aAvz/GRMeOsBQGD2a+pk3jfGXaSvr05NpqGte5ahXMhBEjuI5mzTC0ChcGSLE+z/Ll+S1X\nLiEyZMC4CQrCsKlUSTFRjB+Z016jBkZWvnwYh+nTA5Tkzp10H3muzz8PWPTKKxjbXbviZE+bBnOh\nXTvxiLki9yteHEbHyJGAQx9+CCDUsKGqJ2H81KsHo+GPP4gex8Rg7Bnn3yjGriPFiqno6tSpGNhz\n5zInvXpx/NKlcU7MZsUe0TSuoWBBHAPJ1pDdajZtYoxRo3C+/v6bdTp8OOfXqBFrS0YAz5/HKZFj\nFywIeBMTw9zJugcHDzKnoaGMffs2x/77b+7r1KmAP79/sk7o6dNbTtJjLuRpLWldN7uql1u2VLVM\nPBGzWalcX1DOW7XC8XV2zM6dcRbdaT+p6zxTxYrZr/vQrx+gnNkMKJsnD86aK8wQo9Sv7zglYu1a\nVYPAWo4e5fmVgLcQAIcLFjg+5urVrjEYbt6EXbFxo3JKXRFdVzrQVRk2TKmBRo1cB4EqViRa70hW\nrYLZIeX+fd471sCzlNOn0W32pGtX1U7dVbl3T3WnmT8fu+GttwB06tenvotRzp1Dz/fv714NGsk6\nspc25StJSADwl/WW5KddO+Zm4ECCDhMnAlT98AP3YeNGgh+HD3ON16/zbLrbHegpiPEEiTVAkBbT\nSDzdPyXSMFIq1SMlW636an8pyVGUMzV3E/G1pHVDWaRG3fzgAd7uw7dvfKasomq2I2LOHKLytWvj\n0H75JQZVy5YY3/Jla4w2+fsreurYser7Pn0wXh48wGB56y1e4lWqAJQMHYqjLtkKiYk4+0ajQNa3\nEAJjLV8+QISICFVsdP9+HEN/f6Jb8hzj4izP86uv2E8IaMD58uF4jh+PcdWokWqlKeXAAfGIHWK8\n3nbtOP8+fQA8ZDFK6yJwxk/ZsuTaLlnCuR87htFvrNZuXVBN1zHGjh/nPGvUsD++pgEmvfce0a/r\n15MaR7duYcBaL4UzZ2AfLFtG9EgyYKw/gYEYnTKq2K8fa2TUKFWTQtMw/mUeudEvj4nhHgUFMd+y\nUvzeveSPd+yY9JjSoF+xAkCnalXYNrJgZv78GOTnzgEOyf0kpm9M/fjpJ767cwfHq2JF9j95Emfq\ntdcATCpVYs3HxxOJM7bLnTqVMUaM4DyeeQanUtf5vP4623XuzN89egByyU5AP/wgRIsiB4RuRKPK\nlnXP00whSeu62RW9HBlJmputrg+uyO3blukC/v6W9Hp3JT4elpMj6rquo8erVPGcXj96NOtbAtJS\n1qyBYbRvH7qgSBHH6Qn25PffGd8Wk0DX0SvBwbD1bMmHHwIkG2XwYPSyI/n4Y/SVI9F19Lls2dqh\ng20gxZasX49uyZjRte3NZt5FbdoAEJQr53rr14ED+TiSb77hmo3SubNi0VjLuXMAsPbk5k3W8IkT\nrp2jUXbvJqjx+uvo75AQ5tnIctmzh/eDq2kr1mIyoY9r1XLOUvFWxo2DGXnunCqCLlNtk1OeghhP\nkNiKSPsql9+XTqw3hRI9aavq6XHd6WTi6TGE8DwFxZOCoJ6yIHxZ4DK5is2mxm4ivpa0biiL1Kqb\nr1wRep48j6zrhMC84tWwq6J9eyIZb74J1ffqVQCBV1+1rKdAbiafw4fV98uX811ICCDF5Mk4r+3b\nY6Bdvw4dOiwM403TFFgiBL6c0YmdPl3RVyMiMMDy5QMQWboUlsGFCzjiVargLErDe8kS/MNjx3BK\nc+YEzIiMxMktXRoQIjJSMQOMYIbRUNZ1DPe+fTHiixWDFnz6dNKpHTsWJ+LcORznvn2J8mfNyrk3\naYIh/ccf6tqWLVNRuLNnifJ88AGAzwsvMP/9+xNJlFRvmU4iC2MuXsw5lykDG6ByZe7Z8uU4+roO\nk0PWezhzhjnq3Zt5y5KFKFzz5lzD5s3MeYkS1OMwSlwc0aX33sPJq10bQMpIh65ShWPHxBCVypWL\n8Xv04NrKlQOYCA/nXsh7Pno0wEKOHKTgyBaHmsb1RUVxbFmnYPp0DGvZRlXek+hotcbkI6jrAHSa\nhkF9/bpi/WzZQgSwXz+ub9IkvvfzY3uZmiKEZT0Y+ZpbvZq/a9QgWnf8OPvWqsU9f/BAiPKB/4o4\nf9XyRg8J8TyZOpklretmV/Ty/Pk4Wp7I7t2sv08/heHTuzcgQGAgz7gnsm4d69yeyPoAlSop0NZT\nmT4dh1wWaL54kfXctCn/fvGF4/ax9iQhgRQRI0gtJTISdtYrr9hPM5HpasY0LyFoge2sI0ixYqqO\njT2ZNg3dINMYqlVzrYaG2Yy+XrgQ/euKbNyI7lu+HFDo/HlVW8qZ/Pkn8+RIundX7DMpBw7wDrNF\n/Lp4kd8cybhxluwOd8RkIj3R3x87Q+pQWWPJ39/2unBHEhNhTb79tmfr0xVZupRnQxYAN5kIUuTJ\n4x1I6Yo8BTGeEEmOIp5yXFl/whdOrLvAgPW+nrRV9eS4nqZfJHdNDON+7ta48JYFYaxB4U26RnKl\nlST32KlB0rqhLFKzbj50yCIibCrzsmjZIEoULYoDqWmqd/2dOzh406ZhYOXMadkxpEMHFa3cvh1n\nsk8fUh0KFcIwGTwYJ/bMGQxEI/W/fn2Mj5Ejcb4PHRIWYMa772LAJyaqaFf37oABhQrh2JtMGFj+\n/nyfNy+OqZQTJxSYMXIkRnLt2uSdPniA0yuZAnnzctxffwUguHuX8YXAWN2+XeWBly2L03/pEr/X\nrg1QYy1mM+kxY8c6Z1VkyEB6xuzZgCFRUUlpxrKwp1FMJu7VgQOAAVWrOj5O5sw4JXPnJnUKpPTs\nCfiTmIgx3749TsRrr+Ho3LzJuUVGYtQdOUL6RNmySY9XpAhMjokTYX9s2waoEBTEd8Zc9cGD1X3Q\nNEWd3r6de/zzz8xjhQqch2TmyG3kfpMnA0bs2KHWXI0a3PP794kIDxzIOUydikMRFkYEvUsXIsKy\ni8TVq6q+gaaxTcmSfC+/k87jW28B0lSqxHWN7B8hLr4Y/mhDPWtWy56BqUzSum52RS+/+aZi8Lgq\nug6zyN9f6YF33lH1G2bMQGe5m34hBKye8ePtH/ejj2AYeQtgSFm0CB23YwfpZ5oGICtbDXsiEybw\nXrDWZ2fOADJ06uTY+fz2W8vCwVL+/tuxU3/lCu81qcdtyZEj3Dfj9eXL51qh0oULOf6DB66DGK1a\noZP27VNMvBUrOKaztp+xsehvR/e6dm3eYdbyyiu2wYLLl9F3jiQ+Hv24fr3j7RzJ1asUapY6s1Ej\ntc58IQkJjNmggWXKkS/E2IXKWlat4rdp05KvvNFTEOMJkOQq4mntYLtbSNPZeO6O402r0JSoVZHS\n7U89mUtfdYXxNl0jOdJKUmLsx9JCDmIAACAASURBVC1p3VAWqV03r19vkZuv168vvh5lsnA8pQN3\n9qz6ThpGMTGKQp8hA3Ui4uIADEJDYVmsW4dxWq0aEfjAQBXZv3cPGq3xeNKZNpmopZA+vSq6GRQE\ns2HbNuowFCyIo16hgirodfy4Git3bgyKvXuVMXP8uAIzhg+nToWMygsBmGHL4ZftRXPnJpL4yis4\nOf7+SbcND4el8M47bBcWBmPhmWe4/vBwIlHNmtkHNCpWhAURHIwznCEDzniRIjjG1ueWLRtzlS0b\njnm5crAAmjdnjhs1Uts3b8751azJ3ObNSx2QTJn4f5kyXJutVq6axryXKsU9lse112a2dGko50Zj\ne/9+2+DFzZusLQqYqY/c9/hx5qBJEwVW/fOPagkcE2OZ/iEN7VWr1HdVqgDIyFSpkBDGGjgQxkt4\nOKyLvn1JJTp/nnFHjLA8pz/+UF13rNfu+vX8HRLCNV06myA2PVNTPWfPPKN6DaZSSeu62ZlevnwZ\nsM6VIpBSoqPRS7JzgRCsEX9/S5Dws89Yh+5Q3k0m1vn580l/03XAxgoVXG816YokJFjWgp43zzvn\nTKYjSHaHlPXrea5nzHA8vq6jd2wxI65dY2x7Mn8+AKQ9iY3lvn33nfouIQG966y4ZFwcunDLFt5D\nmTI53l4I3n0vvgiYdecO/5fSqxfvDmdzXaMGDDB7EhZmu6vO/PkAHNYiWwI7k1WrVMtob+SXX9Ta\n+vhjx0Ve3ZX4eOawaVPflRs6eRKw5fff7W9z+jTvkLZtk6c2x1MQ4wmQ5KDnJ8e4j6OtqqfHTala\nFSl5Td4cz9vjJvdYKTn245S0biiLJ0E3z5wpLLyznj0tiitmyKDSKYybHTnC7rKTw7PP4vwWKECU\nXKZsfPABRt7MmRgAkp6/Zo06ha1b1bj58xN1lzUdjh4FZKhdG7+vf38c+3LlcMKffVY8ihAmJOB8\nPPts0k4jL7wAy6NXL6rCr1tHNChnThz4nDkxUnSd8/7tNxzkXr04XokSHHvLFs5p+3bGWLKE6OBX\nX1keT34KF8bB+O03+w6RjJjduwe74rXXmKeuXQFsdJ05vHYNB2DbNjW+LNyZPj3R/y++wMiyVen+\nk09ggliLruNkLVpEdFDeI+OnUydSRlasoK7Hvn2wRC5fJlrdrBkgRt26RCUjIwECjGlIRvBi5EiA\ngG++AVTJn59ccuMxQ0MBUsxmjiPxtrJlWX+nTgEKLV8OQ6hIEX579lnusZRp09SYcl3Nn6++y5eP\nezx3LvfovfdYK7duUcciJATDVG4/fLgau2dP9f2tWxjM8u9Tp5jcPwtYFfyYN8/JQ/n4Ja3rZmd6\n+euvqdPiqpw+DSunVSvLDglnzsAcM4rZzJpv1sz1wn6bN7O2rUXX0VHlyrne3cKRxMWhm9u1S6oH\nmja1XxTSFenc2bIwpK6jB4KCiHA7kx07cMxtzZmuo+PtgTht2vAOsicff8z9MAIH587x7DuTiRNV\n2lF0tGsgxowZHE+ee5Ys6v7Fx6P3bOlqo4wcab/QZmIietAWqyU2FsDHmmFy8yb33JnoOiC3NwVv\nV62yZNqlSwdoWKUK74SLFz0fW0pcHGy5Fi0cM3BckRs3sG3mznW+bVQUAHmpUp6njtmTpyBGKhZf\np3pYj+3L9JTH1VZV7ptaa1XI/TxJDfH0nnvabtX6uN6ma1hfg7dpKik19uOUtG4oiydFN/fta2mt\nTp4sLl1Sf9arR4RmxQrSCeT3H35IFEnXSV/Imxd6bHg4jvjmzRg7DRpg3EVEUP1e7j9hAsZF9eqk\nDxiLewYF4SxevAg4MXw4QMOCBezz++84m8bTDgsjXUG2ezWZcMwLFcLBGDAAw69BA5zfgICkbUiH\nD4dpYDSUzWbAi27dOIeKFTl36wr+gwerY8fFkX89YwYAQOnSGLelS+MczZjB73FxnIN1sbSLFznX\nokVx8AcPtoyqWbdY/e8/wKO+fZn7zJkBUNq2VWyU8eNJw7lxA9Bk2DDubUAA1/X223QnWb3aslRD\nlSqWNSESEoietm0LE+ONN7h31hT5M2cwlv/+27L9beHCzEW5cqyhb78l4hsczPnIvHWzmW2mTlX7\nfvEFx79yBZBj2jTmPCAA4zd/fuZWCECFWrXEI5CrShXAJmMbVk1jHmR6yRtvwFrZvBkWzcsvwwgK\nCMAZrVGDdaXrgEKaBrg1YABrTDJetm17eB87f2l5MGfVB1OJpHXd7Ewvh4ezBlyRlSt5fqZPTxo9\nX7hQOatGiY2FRda3r2vH6NEDZptRdJ20vbJlXW99aUuiokh3adECRsCrr+KY//knz2+6dLCpBgxQ\nnaHcZWTs28czJB31Bw8ARSpUsJ/KZi1t2pAyaE9KllTMQaPoOu8Tew7l2rWAFdZzuHEjTENHcv8+\n70ZZGyo6GlDcmZQvb5mSER5uWVz64kXGtVfcVAhA9hIlbP927hzgrD359FNLgFkI3uXWxZ/tyZEj\nrAV306JkSl5YGGD4kiWAz/7+pGisW0eqpL8/un/0aNfSeexJTAw2SJs2ngMZ0dGsU+tiso5E1wF5\ncuZkfflKnoIYqVR8nephb2xfpKc8rraqxv3drcORUjUxvDmWp2CEL+bTV+kaxjobvkhTSamxH5ek\ndUNZPCm62WyGoy/p7unSCbFmjYiNffSV6NOHTXXdMs0gRw6czMREAINcuTB+Z80CKGjZUrVClUUp\nL17EiJNjVKigDIybN9WpVKxIZOjNN4mI79iB0daggUr/uH8/aWeTYcMwfKShbTJR+LJwYRxZmQpw\n6RJFuvr0SRp1LFKE6Nzw4RQjW7wYo3P7dhznBg0w+F9/Haf55k3SPIxZAjEx1Ik4cIBjzptHC9aA\nAMtjaRrz8e67sC/69ycSPHs2wMS4caTjSABg0iQYD3PnMu+3bhH137kTI3DRIkCWxo3Jz7bFEJGf\nokVxxr//HvBi2zYAlRs3FF142DCivVu2wKzJnBmHvmNHjNAVKziXsWNJy/jgA8uuDPLTpAmG3a5d\nOHGxsaydPHkswQshuK79+1V9Fk1TRv7du6yDpk1p+dqwIakmxYurto0rVqj2v127KraJ8Xzq1lUU\n5v/+w5GoX58oee7c3K/lyzGoe/cGZLl+nUhp27aM8dZbqjuJbM3bosXDx2rBIssDtm2bfMnSPpa0\nrpsd6eWDB3FqnbEkEhNJfcqb134xxu7d7dexuH1b1RpyJGYz6/H4cfWdrpOWUrq08/oJtuT+fQCW\nRo1gUNWsCVNBMi1iYgAFpk1DF8pj798P465mTdupLbZE19G7ssvH2bM8vx06uJ5SI7srOXKaGzVC\nn1vLsWOAm7bk2jXeU1u3Jv1t9mwYKY5k0CB0upSYGOcgxpEj3E+jU/3OO+gso8huMPK9aS2JibyD\nbHXF2LCB9649OXsWvWZkB96/j850Vbp1A3x2Rcxm7r9M3ZPHXbUK3T9nDvpbspgSE3mXduvG/SlZ\nknfx0aPuq9DoaN6fHTu639LUZOJd36aNZ6p72zbu9ZAh3rNBhHCslx+7UvXm80QYyjZEMhKSswtD\naksj8Wb/lKwdkdJ1Kh5XXQxfjZGc4zkae+PGjU8sKyOtG8riSdLNMTEW6ISeIYM4P23do3aZmqai\nXHfvKqc/NBSAonhxHPWNG4k+/PgjzIv+/aGJahoGmdHw7dRJjd24sTKUdR3QIlcuokULFhBRz5ED\nQ6RWLYAAo8Gq68LCX5Sfd97Bsd20ifOxBWZIuXHD9hjVquGY1qpFdKhAAQxqR+CAppEekTs3Btgb\nbxCR/eAD2rtOmMB1jRvHtuvXAwhMn07EtU8fjPxGjTh+sWLOjyfTblq0wHmSbWS//55osZzv9euZ\n3ylTMAx79sRIq1sXIKZwYeWQ2/sEBXHPq1bF8W/XDoPT2GnEOIZRbIEX169zjv36qTorxo/sPBAd\nzT3QNNbH4sVEdStWZK3cucO2stVhx47qHh8+rMZbvlydz5EjrK1nn+XfIUMwpmfO5DpXr+bfP/9k\nDdWsqda+NLr//luNXbq0EJHfLhamdM+oL6tXd55cn4okretmR3r5008Vo8qeXL/Oc1mzpuMWrGXL\nOi5YeO4cTpqj2gYyVUqKrMVSqpR7kfBbt3AW33oLZ7VePXSDLRCkY0f0iGQxGFlniYlEyP38YGw4\nc85++AHgw2SC0ZUrF8+/O07h119bggW2pG9fBWIaZeJEUlmsxWwGbB00yPZ4Awdapo5Zy7Vr6AtZ\n1FkIXqPOWqz27p20PWqPHrbbq/btyznac77r12d+rWX6dNvXbJTatUmrk+JOUVIhWE+2apxYy4kT\nsHsqVrTsZiYE7+Dq1VkLbdvavscmEyBTz57YEIUL827bv9/1NfTgAe+qDz5wfR9ZLNdb1X3tGuzI\nOnU8AxyN8hTESEVizWjwdScSeYzUlEYihOdtVYVI2doR3hyrRImOIn36caJEiY4pWhfD05QQX3cB\nScmOJU9ywc+0biiLJ00337gh9NBQIR0vk5ZObBr4hwUjQxZV270bR14aJ7Nm4dw3aEDBrty5VQTy\n/HlYBnKMPXuIgAcFYcR07qx+q1wZwzoqCuppvXoY64cOYSx+8QVRNbl9jRoY8j/9hPNoMsF+6N5d\nPHI0W7fGOX/+edVatU4daixUrqzAjPHjcYATEzGaNQ3HNjiYKP1XX6kWrkJwrNu3SU9o3Zrt69Uj\nyvjCC4A5b72FkbxyJdF+awNqyxbOwShmM6kjCxZg3FasyLmHhwNsyPSKQoVIdXj3XeYka1Ycq759\nAXjOn7c8XlQUwIK1QRwdjaM1eTJgRtGiHK9CBf7++GOOt38/2xrHlO3xWrcmKlijBo6SpGYnJrIW\nDh0idWbaNACogACM1vfe49yzZeOeNG6sGBSaBrvj4kWchXPnuBeSRSFbAL/5Jk7X6tX83q0b3737\nLvcoMZEioHLMPn0wTE0mgAkjUPLvv1zfoEFQnk+dYk6HDWPNlioFAJY9uzLeV65UY5hMQsyv95Mw\na/9TXxYr5puCBSkoaV0329PLJhNryMh6sBYZXR082LEDHxXFc+SMbbBrF86gvfafn32G0yYEa/Pz\nz9EF9iL0RrlyBX0h2zw3bQpY6qirxbx5OIrSnHjhBZxAazl1CuesYkX7jXaiogAUt25FVwUFWXaN\nckXMZt4tzlqPzpxpu45JvXq2u8xMmAAAb69A5XvvoYPtSbduABJGiY11DGLExwPiWKdIjB9vu75F\nQgL6xhY4IwSsPFvX3KcP8+1IVq2y7OjiCgBjLRMmAIbYAgbi4tCbfn4A5raele3b1TlERaEqjcVV\nrUXXSaP57DPWRP78gI47dzpnWURGcqwePVwDMsaP513ui2K5CQmslfz5VRctT+QpiJGKxFZE2Vcp\nJEKkvjQSyzHcb6sqhOcAiKcpKJ6AEezXRTzzzBpRokQXD1JelomwsEZup7B4mxLi6y4gyd2xZOfO\nncnKYEoJSeuGsngSdfPGjUI3hMD1DBmE2LRJnD//6KtH0ZtJk4g0fvopdR2OHcPYypEDAzBvXlIV\npHFhLEipaRg4Uo4cgbEgI9nZsxM12bcPo8bfH4ZCYiLjbdpkkQEjNI3UC6NIMCN7dhz7//7D2Pnm\nG1gR0iE2fowG9smTGJCVK+OYd+8OMFGhAmMYo5M9e1oamjJ9YcUKHOI6ddg3IAAHXNae+PJLmAfL\nlxP9rVEDMCB/fpzwceM4J2snon37pEXGbt0i0jliBBG6oCDmrU4dHK7Vq7nGpUtJgenYkTnPlAkW\nR9euUKgPHEhq2BsdAbOZegFduzJ+pUoAIMaif7qO8Xf2rCXoJD/h4YBJ331HpO7AAQCMwEAFAhm7\nEBhZO3PmMH5iIvtUrw4AIYvCtmzJHMfHM7YkGAUFYciaTCo9R36kg5SQAKukfHmYOUOGMP6RI+SY\nDxgAeCSdmxkz1Bg3bggh1qwhHUs+P//7n2OPOJVKWtfN9vTyhg08C7ZE14nq58rlWp77X3+x9lyR\nlStZnxcuJD1mWJhiwQ0ZwvPhiP1x4QIOWOXK6L7WrdFDrnRLOHyYZ9pYuDldOvtOn9msWsoOG5Y0\nYj1oEGy45s1hUP37r/NzsJb163nPOHM8bdWwSEgAvLEGfA4c4JyNoLS1vPKK/YKjp0/jnFszYWJj\nAb7tyfLlAD/W8vPPBABsyX//8d6wBf4cPWo7VaZBg6TvQ2sxmXhHS6c6Pp4OWu5IfDz60Pp52LYN\nMPyddxzf84MHeQdJOXaM+3LokPNj6zr3cdAgjpU7N4D7li32wcV791iHvXs7Xk9LlwK+ebJeHcmP\nP3J9ntZ2fgpipCLxtrOEM0mNKQK+SSVxDwDxpkaFJ2CEN9cISNNWPPPM2hRjqfh6jOQcz1qS+xlK\nbknrhrJ4QnWz+PrrpEDG4sWPWlW+8AKsBF0HSPjwQ5y5oCDFsmjbVqUTNG2qopFms7BwHseMUVF7\nYwHPkSNhXeTLhwE7YADgQfnylj7h/fuW42maKnp54gTnaA1m3Lih9r98GcNC7hsQgCG0Ywf7mkyA\nNX5+sALi4igq2q4d48maGJpGcbyDB3FeVqyAUfLNNwAIPXrgTEigxtHnlVeYv549cQwmTcJpXrMG\n4/DYMRgm3bpxvE2bMFhnzWI++/WD3dKkCQams+NVqcK2nToBSH35JdHbRYswTrdvV0yTqlUt56pV\nK8CMJk2Yi+LFhUUKkvFTvTqOhlFNHThAykxgIPP70Uc4bbLQaXQ0tTDlGFOn8r2uw0rRNNZL9+6M\n26ULAEVUFACQnx+fUqXUOouMVOP5+Slj9sEDAJ+332b/jRsBupYuxXGdPx9wTqaofP453Xs07aGz\nM3u2ZctiTXOtnH0qlLSum+3p5TZtACqsJTISULFMGddrQYweDYjrqkyahDNmLDB56BDPuq6jC4oV\ns9RfUk6eRCeXLYuT1LEj9XHcocFHRsLAMKYYyFagzuS//xQLTQKCFy7wKGTPTpqAOy1ljVK/PuCq\nM7lwIWknmG3bknZ1iY5mnhcudDxeQEDS4s1S3n3XNjsiLs4xiFGvnm0Hdu9ewHt7sn49Trr1vdd1\ndKf1mixRwrJQqD358kuVdiLfze7K2rW8ZxISeB9/8AF6c9ky58DT6dPoe6MsXMh47pqzx48D4Jcq\nxb3r2hVQ0hqQv3OHue7f3/b5bdvGO8WV+fNEjh7l+mTnNnfkKYiRykRGlH3pfCVHlxNfpaV443R6\n6hCn9H6P4xq9Pa6tMVJ7WonxGL5+hlJK0rqhLJ5g3SzmzRN6UJCwRhw+66uL8HCMpG7dMAgKFiRK\nL6v0r1vHELt2YVDwPGOcS2Ps2DHLApdt2uAIynausoDn1auABk2bElGT248bB8Bw5QqOqLFNq6aR\nnhAaym/16mFwLl4MwGELzGjShDziU6cAT4oWBUD57DMiVWfP4hxXqKDSCGJjueZMmSyPrWkY/o0b\nA0QMHYpjNH8+FN6tW4l0SsN/1Cj+f+iQAkC++45o6qBBOCTWXVRsfSpVIsI0ciTR0aVLccT37ycl\nIzISBsqcOUQmz5wBdNqwgW1nzSKNpn9/6n/873+2j5M3L+BFz57M1fTp7P/77zhub74Jjb5GDZyP\nO3cAKmTXECEwEBs2BPiaMIHIcoMGACG3b+NojB+vjinZMLLlqkxB8vPjGnUdAKZCBa63ShUinl26\nUE9ARq43bVJjjhyJA3D5MmuhXDnmOjERVklQEIZmzpzM0cyZMEgiIgCxSpcmCjr2a50QuRH4y5vX\nuZeUiiWt62ZbejkqynahxOPHWUOdOrnniDdoYNnq1xXp1YtnQDo3Q4fyTEudJM9N1wEwhwwBOAwO\nBkzetIn1667oOmyJTp0sv7940bU2o3KMJUvQ6716qcdh8mTP69leugSzz9i21p6YTKRDGItVDh2K\nDjfKBx+oGjv2RHYZsZWisHs3822L2RIXx7vOlly9ynvJ1rXcvu28M8jAgdRgsWYZtGxpCfLoOvrX\nFZPw2jWOK1MmNM394pe6TkrJM8/wbu/SxfXsucuXmUtr6dxZ1WTxRM6cAdCvUIF3RPv2gC3yubp1\nC10+ZIjlfqdOsX6N3biSQyIieCdWqOA62wPw3b5efuxK1ZvPE2so+1iSo8uJr9JSvGmrajwPT1qe\nepoWktJtT70FIrxpt2o9xpOQVvKkS1o3lMWTrpsvXUpSUdLc/SNR7VWT6NMHJ7VhQxW5OH0aBkNA\ngApAm81EnoxOsJEWu2wZxs+zzwI6FC0Ke+HKFdU6UxbwvHGDaL2Mfmsahma/fvweE4MhLp3bcuVw\nzJctIyJaoQLGnTGNpHVrnIHs2S2NPl0HVBgwgNzbQoUAFD7+mEjnV1+pCM/ixURo33lHjZs9O8cq\nUgSDecIEwAvrtJCqVQEupMTEkPIydSqGV6lSgCSlSsE8mDaN35s3Zy7++EPVxShYkM4hVarA/Jg3\nD3q40an5/HPLYnWyS8svv3Ctb77JuefNi5H11Vc48Ldvc4+tI34mE6klXbowL5UrJ00tEYIxSpUC\nYGjQAIBg4kTVwUVe3717AFQBAaoziezeIFuuyjlu0kTl9o8YgTM3dCj3ftIkzqNAAQzlqCjmRO57\n8CD7ffmwA6q/P/tK9o2sIZA7N4DL/v1ss3cvBnvdutyfxu8kCL1de8sFXqZM0gl4wiSt62ZN05I4\noQsXUsPGKJL+7S6hRtdZw8aij66I2Qz42bIl/w8PhxlUpAhOsKwHEBaGvuzTB53rruNpLVOnAsoZ\nAQAh0B/22njak1u31KPQqJF3RRE//xyd66oUKmRZaLJKFcu0tBUrAB6d1Tk4doyxrEXX0Q2y04q1\nxMfbBzHGjLFdv0KOmzmzY+c/MRGA64svLL+fO1d1RBKCd2euXPbHsZbmzdGVQlAnyl6NEHvnZGQy\nGgsmuyJ379pm+sTE8E6YPt298WzJpUu8f6tWBbBp2ZL33cWL2BsjRrDdjRu8Q42ty5NTZGv6wEDS\nIJ3Jhx861suPXal683miDWUfSnLQ930xprdtQOUY7ta1kPt5khYihGctVuUxPb1eb4AIX8yzEE9e\nWsmTKmndUBZpQTffvUtI2+CkxdZpKPIHxohff8VBr1QJw6p0aSKVp05hKA4friIp9+5ZDCFWr1YR\npevXMXaLF8fYkEUiW7bE8CtUCCNN5h/rOo6/HKtlS9UqU9dxvIODYRSEh+P4rlnDb9HRgCgjRyqW\niPxIp2DcOFgT69fDCvn3X1givXvj1MrOJC++iDPcrp1Kc7h7l7nImRMne9EijMzu3RWIUrQo1yiZ\nBnXq4DwVLgxgUaYMEdEZM4j62Yr+2qqJIed50yYAjvfeY+6efx5HxAiyNGtGastzz+Gk1a0LXX3t\nWvv+93vvEfHTdVg2PXsCRpQpw306fJgI2PbtOAvffstcvP++5TxPmqScpX/+4V4NGwYLJCBApSjl\nymXZsnbfPjWGsS3lxIkY34ULA6KcPg2AI7vhbNuG05crF4DZ7t1qrfTtq8aUIkkVhQtjAN+/j3E7\nYQLU9E6dAK5KhD4QCTWsesnWru0+DzoVSlrXzZqmJSnKWKuW6vQQH8/69rQQ3/nzPBueRJJjYkgp\na9ZMLat331WdGQYO5FnwVbfe3bvRAdbFJoXg2bEuPOxMTCbeBa++CnMgNBS94Y5zLAT3IDDQvZIy\nb70F200IAM7MmZWuuXwZ/eKoW4yUtWt5lK3lt9/QqfbYLvZADF3n3m3fbv+YJUoocNWeyILYmzap\n7y5eRLfJ9bB1q3v37K+/eCfpOsEEV9hGDx6gx0NDAQdWriR9w9WWq1IcMVdOn+Y9KuvB+EKuXgUY\nqVEDkLpKFZ6vTz6B5WevU01yysaNrPMxY+w/01u2yOCLfb38OJXpF5qmHdI07YCmab9pmhZo+G2A\npmlnNE07oWlaLQdjeD2RT7r4uhOJcVxv0xS8dWK9cc5TuuWpN8d8nMe1dQ6+WkcpkVbyJEpqN5Sf\n6uaHEhdn2V5E08T9YpVEsVy3xH//ARYUKoST3rUru1y7hsPXuTMGX//+OOvGVpTPPgvQcfkyL+9F\nizBahgwB2Jg4ESJI3rxCyJQU2YpQ1zHU+vaFupw9OxE7CWYsX45h/sMP1IsID6dgnwQzpCQkWFzW\no09YGAZ46dIYDxkyAFoULGh7+ylTLOnFkZE45YGBsFVk54GEBCL7c+YAvliPkyEDed3h4UTdGjYE\nsOjdG9bAtGmWzJZ585inoUNV3Y2331atUnPlsn2+xk+6dBj7wcHsU748Rl6jRtTm+Ogj7qutfTNn\nhm7+3HP8v0ABHLCaNVVrXeOnVCk1Rz/+CMBStSrORdOmOIw9enAep0+z3d69ADDBwUQMK1VSbJI5\nc9TY48fjQC1diqF/4ACgVFAQRmrOnDhlQrBOChdmP9mSde1aOq1oGuk7d++yVpo2ZT7y5wdsOXFC\niGI5ronoImUtL65dO/c9tVQqqV03e/vRNE0EBsJqEkJR/aOj0UeVKwPsGetTuCM//ACjwlO5eVMt\nq5w5AQOdtbL0RO7exRG1VwRy3Tr0tjvy3XfMn9Sz27ap5+e771xPd/npJ1L43JEePWDyCYGur1GD\n/5vN1OSxZjHYkylTSDsxitnM+8BRwUx7xTG3b0ffOAKe6tUDDHAmf/yBLjSCzQULqval339Peqar\nouu8ZzdvBkR3lLpz7RrsGH9/wGajie1qy1XrY6dLZ19tLl3KOyU5mjvJlsPGd3qNGrwPevfm/T1/\nPsDVgQPoCE9StVyRS5d47zZunLRzUHQ07yO6YNnXy49TmWY2/L+HpmkzHv6/2EPj+RlN00I1TTur\nadr/7Izhs8l8EsXXnUiM43qTAiLFm7aqQjyeWhGPqz6Fr47rLVgga01cuXJF7NixwydAxtO0EktJ\n7YbyU91sELMZj9DgtN32LySavXxOJCTARMicmZ9kNDMykmiW3EXWJYiLI5qoaVD/s2cnxWDdOmpD\nvP020f3DhzFytm+3jObnKUsvJAAAIABJREFUzQtLQbZUFQLjqndvxurRA0fkwAEcbNkK8ZdfYB+8\n/DJgiK7DGKhUSV3miRM4qkWKUBOjXz8ca7MZg//kSSJdP/+MQ210zjNlYvwOHYj27N7NPpMn4yTX\nqaOcaCEYy1jUTNcxYC5e5Nw3bcLIatUKR9wZGFGiBNe+dKkqAHrtmmXxsPPnmT/rWxsRwZwdPw79\neuBAwAhbx5F1NdasgUlx4QKGb3y8areaLZtlTQwhYNK8+CLGo5EB0awZ9/ruXcCP2rUxWvfswbDP\nnRunQkYIz58n1eSTT9g/e3ZVCHTtWoCbWbO4h82aca/9/aHs6jppA/LYkq5s7JyTI4c61pQpfJct\nG9ccHS1EvZdOigi/UMtJGTzYd6HxVCCpXTd7+9E0TSxdSgQ6NhYArF071khQEGwub1I0evSADeWp\njBunltaAAcmztMxmwEFbrT2lLFlCuoGr8uABDvY//yT9bcsWQImCBQFfnTmEr7+uUgldlYkTYb0J\nAag9ahT/HzMGZoijlrhG6d07aYvSxYsB6h3di4QE2yBGp06kDjiSjz6yXVTWlgwdSlqLvJ4uXWCK\nCQHIYOz85YpMmYKuzJzZdvvd48e5huzZmV9brB0heI6sU7KcSZYsjlv+fvQRgHpyPAPXr2MPyGet\nXj2Ai6+/Zg20akWKZXi4YvL5+8MarV4ddmKvXtzb77/Hhtm3j3epu3h2XBzBAuuUqE8/VelCqRLE\nsDgJTeuvado0w//7GX5br2laRTv7uTdbaUySg67vq9QEb9uqGsfwtD6Fp2ko3rARvE1F8bYuhi/A\nAl+tASlP00os5UkylJ/q5ocycSJtIx++9e8+m0tMaAXNYPlyZQxIp/LsWfVdWBhRdSm7dhGdqlsX\nY/PllwEOvvwSJ8Lfn7QPaezeu4exYPQdFy60jEhZgxn79wNSNGmCo202KzCj7MNAer9+pAwYjSRZ\nOK9/fyKVhQrBELGmNk+ZAmghBEbInj2qfakENsqUgdEg6zlUrgyFdP16nHZ5vPPnmcMhQ6jIHxKi\nalx8+CGAwJ490KM7dMCpvnuXCNo333AMmSJSogRgwrhxOGYSSEhMhAEj89SjomDHTJgAM6RQIbrP\nVKmCc7NwIfdSOnQvvWRJeTaZGL9zZwCpypWZE+uUlIQE2A/Ge/f666qV46lTHLtnT6J7desCXkyd\naklvvnQJ4EGO0bKlWh9//glFuEYNmB0//cR6y5mTub5+HWZLlizCAsAQwjKvWx5v92713dq13KPh\nb+0Qkc/mePSDni6d/QT5J1ieJN3syUfTNKHrRD4HDOBZrVkT5tQff3g/f+XK2W/P6Uy++QZH/+WX\nWVoVKwLi+prkM2YMQKWjmhXffqu6V7gigwc7L5q5eTMZii+9hH6xBSwcOwaY5O41G9NAihVDX+7Z\ngw5wpz5Jo0aWAEp8PEwSY/0iW5KQQGqbUaKiAEGvXnW877hxrnezMZnQc4MH8/dPPwFICYHDu2iR\na+NIuX9fpUlK9pGuAzy98w4O/PDhSVvVWkt8PO/59etdP3ZAgOMSQnFxPE8SpPGVnDoFy0PWQrp4\nkXe9ozocJhPvkUOHAPsXLgSs/PRT2C+1aqFLAgMBPHLkACitVg0wULZinzuXtbpnD+mqxkCDbCn/\n00+AgQEBKgCUakEMTdO+1DTtX03TDmua5vfwuymaprU0bDNH07TGdvZ38/alHUmuNBJfOZy+qqnh\nDRDhqRP+OGpiyP29KdCZmu6dUawBGl+xPJ5UeRIM5ae62YYsWyb0jBmFdOSitOfF9s9/FUJYRrTv\n3SNy9fXXvLSNjIHvv8cZj4kBdAgKIpd5zx4iPtmyQa/UNP6VoIgQUIKt2QH582NsL1oEm+P6dYgj\n2bPz/ZtvAibISuBmM8e1HickBMO+QQOiIkOHksLRv79iJoSFYYicO8d2knkiRddxhG/dAvSYMwdA\nQabFOPrky0dEeP580insRYMliGFLYmNx3idNwmk3dnWx9wkPJ+K1bBnMirt3bTs33bphtO3YAUj0\n7LOAJnXqMCfjx8OyaNMGpzA8XLXaNX5kXQohcBpz5eI+vf02rJVp01R9ldmzGc9WeoocZ8cO9V2D\nBtz/w4cxAFeswCAMCOA+5M6tCtlFRqpisOHhROJ69eL65Xgyqryh+woR+z91Mfrzz0NHSYPyJOhm\nbz5SL1+7pu5z+fKudwpwJDExpElZF8l0RSZNQpdduoS+2b4dJ/jtt3nGrAsDeypbtrhWeHTsWPSo\nK/LvvzhtroAFug7oWLUqQPbixZZgRo8eykF3R06cAAC6coVziYgALPnpJ/fGKV1apQAKgb5whWGQ\nmJgUxJg3D73iTJYtQ1+7Ktevw3r5/Xec3Bdf5Pjly1umebgqXbrwHFy/DoBToQLvuhkz3FvLK1cC\nILmaepE/P+9SR3L+PO8IX8X9ZAFy63fouXPYALNmeX8Ms5n7cuQIQYvFi3k/fvYZoGSdOtgkMl01\nWzaehddeY96N77mqVXkvPjYQQ9O0Px4awfJz5OG/71ht10/TtGEP////21B2QZIzjcRXwIgvmAX/\n32pT+AIE8UVNi+SoZWFMU/Ely+NJlNRgKD/VzR7K338L3eBVJmrpxY2v6PN24oR6+dapoxgOt2+r\n0hp+fkQb+vSBmrp1K1GR998H/IiIICJSsqQaq18/ZShLo+fvv6F1Gp1QPz8M2Q4dMMKbNbN0gKU6\n6tuXyEh7q+YSFStyrGnTYEV06QIzomJF50BE5swYsRkzch4hIRh0FSpwnvXr85H1GKw/AQFEcTJm\nBCAICCCSI3P0W7e27LLRvTuU1jp1OL9ChYg6ZsgACyQ4GIfKHnDxzjtELqtWxaB66SX2efFFriND\nBtsghPFTpAiRphYtiCSOHo3h27mzag1bpw5Rq4gIIlW//866mDqV359/HnChWzcMvXffZR7y5OEc\nQ0LU8YKDAYjmzmVe/vlH/bZwIeOePAkwJmnSRYrAcgkLUznzmzapDijt2rHfnTvSWOQjadP/Dpgm\nTFq6Rz/oOXPa5synEUkNujk5P1IvHzmi7rUvAAwh0Enlyrm/35QpRIIvXuTv0FCYbELgEHbowLjG\n1tCeyPXrPGuyFbYjGTTI9ToSrVu7XxhR14loV6qEnvvxR4DFHDk8ux9xcejN776jlk2HDuh3d+XF\nF1Uh6YgI9LCzoptCcJ/SpbP87rXXXOvasWcPOtgd2bwZPXnlCu/KnTt518nIvaui6wA98lmoXJlz\ndjX9xnqs6tUtiy87kuLFVT0PR7JyJSC/vC+eyooV2B721v+ZM7zn3e1I5I2YzVzXsWO8l374wfId\nu2QJeiHVMjEenYSm5dU07fDD/1tTln9zRFkeOnToo8/mzZt9PsmpUZI7jcQXwIinLAopT3ptipSu\nAWI8B2/brRrH8XUti/+PqSWbN2+20FNPkqH8VDfbkBMnhJ4vn8XbNmHAECF03QIYaNvW0iBduhSj\nUDq9OXNCw1y0CMAgb16cXCFUJ4zXX7d8qVuTw/7+G7ZFaCgU6P37cZCbNSOCkymT5f7DhnFc6aSe\nPo3hlTEjUc+XXiJCNGAA1FHrVJP793HUNY1IfunS7KtpRFB79SLycvKkfTZFkyYY7ffvs23jxiod\nYvp0gJorV3C0tm6FqTJvHrRaeR2TJ+O4r11L1Pb4caLL+/erjjE5cwIorF8Pu6JjR8ctAvft4/dO\nnXAsNA2jr2pV1dHl9OmkVewTEqiJ0aaN7ZoYUmbOBJAJD7e8J5kzAzJ06MB1HjzINfj7q9Sfjz9W\nFHOz2XL/y5f5/tw5gIgGDTDwP/2USF6hQlDoZbtVyVDp3l3d30uX1Hh//cVBYj/pZ3EgPSzMflL4\nEypPsm725KNpmvjhB9ZW5sw4zeXLOy5q6KqMHcv6ckemTcNBu3CBv3UdnWVkXug6IEFYmAI33BWT\nCT33+eeubf/xx67VaZBdhjxliug6BRQrVlSP2po1PMvu1iYJCSEdrkYN5srdc7p7l5QzqROGDHG9\nUKbJZAlinDnD+8eVNrO3bgFAuCsjRlDvo0cPggJZs7pWP+LqVd657dszZxLQ1TTL7ieeyMGDXLcr\nBTnLl+cd74r06cP72dN6NVOnAm4bWTa25NQpgL558zw7jrfSvz/v2+hobJXgYGyAVAliaJoWZvh/\nD03Tlj78vywe96ymafm1/w/F49yQ1J5GIs/R22i7t0VBH3dtCu9apS4TYWGNvKoj4gvgITnBsv/P\nHUtSu6H8VDe7IFevEj4yOHkxRcuI3DlixG+/WXwtGjWCVqnrqj5BeDjUzoULicblzUtUP2NG0jmM\nj8SGDZbjaRrbLFmicmqNYIZs66frsENmzFCsDfnZsEHRXnWdNI6AABgaW7ZA/QwJwZkfPhxQQsqX\nX4okbRrv3CE9YvRoIoGhoRiV1aphgC1ZgmGr6zjmxrQKITBafvmFvPJs2YiIjR+vnBsp7dpZRop0\nnRSSAQNgeeTJgwPy119Jo2lffQXTJDGRCNjcuTAgypdX7Vjbt8ex+uefpGBFuXLMjRCMvWmTZU2M\nyZO5H7GxgAfbt0OVnjyZ41jfww4dmBcJQty/r8CLNm1wCv39ia5K2bXLcgzZGebSJQVOhIWR3nT9\nOkyML79U7VYbNuSedu2KQazrlilPQ4YIUb5EjDCVLG15oAoV3A9zPoGS2nWztx9N00SBAjhbtWvj\nML//PqwfbzsQNG6cNMXMkcyciY4xUuojI3kWbcmMGf/X3nmHR1F1YfxcQHooIaETmoAkFAEponQU\nEKQrCgqI4EcRRIp0KaIC0kQRUYoCUgXpHaQI0ksognQIVWpCTbJzvj/eHWa2z5awm839Pc88SSaz\nd+7Ozp65972nYCKmzy9klCFDLBNCuqJ9e8vvnT0UBaKBtyvX167h2qlftfr1cV0yZsQjpk0b2K4/\n/sAk09HnVKuW1oa1fTXCvn3walD7FBpqa38dkZjILIT296BBELSNoCjIR3T3rlvdZZNJy8UQEuLY\nm+POHXgzdO8O78Ds2fFM/v57PB8PHtSuW758EHe9CV/q1Mn2+WiPGjWMiybx8RgnuEqSao3JhGd5\n8eKuQ1dU/vkH4sHs2e6dy1t+/hmLKPr8I2vWqJXGHNtlfxrT383uy4eIaBkR5dH9b4B5gBz8Zfzc\nIDmEkTD7MqzCs6Sg/sqJ4atzP/98W06TZqXfvDlUfCGqOGo3JVcsCfSBsrTNBrEuQ0LETzJkYd6z\nx6JUIBEGhC+8gAnt3bsYIISHY7VBLT/60UdYzVJf8+efGOBVq4ZY1UePsDqo/j9/fkz4S5bEJHnh\nQrjCWosZKoqivbZiRQwOunbFSofJhMFDu3YQVJYtw76dOyEK5M6NQaKaYPSHH+D9sG8fJvZr1kCE\nmD0b3gzjx2MQqyb1tN7UiXT//sgd8vPPqHyyaRMEhB9/RGiF6o0wciQGV+3b49ht2+DNEhGBEJrO\nnbWElhs3Qjz46Se0PWAA/m+vH2nT4noNGYLP5uef4R2yZAlWSLdtw+rVsWMIhyGyfE+pU2Mw+tpr\ncA8ODUUoSkSErceFuqkJ+FTu3IFQFBYG750TJyBm5MunrdTt3IlzqG3s2AGxaMQI6Gnq/h49sKp+\n4wb606+fVm51zhzcSx074rONicHqnnodbt9mVvbs5fvPWSUTadTIN0v1yYBAt83ebkT0NIFhsWL4\nTj15gu9Aly6eV0JQFNxjZ88aO/6nn2BnrD0rTp2CJ5gj/vgDdlP1WDPC2rW2pTld0by585KizLC3\n+kpR7qIoEH1y5tREZv1EPDYWYsTMmQgBbNgQ1yZ9etiWd97B9//332GL1WoTamUSd1m0CF5czEio\nbDTZJjPsiSpiJCbCdqnJi40QFQXPP3dRc2IQ4fowI4/Fxo2w+5UqwePotdfw7Nq71/bzmjED3oHh\n4Xh+tG+P6+ypV8a1axC21VLZjmjQAJ6ERrl4EQsN27YZO/7xYySAfvll14lJrVETzM6b597rPGX9\nerw3e9fs3DnndtnvRtWbLUUMlHUkpzASbwQRb9+nv3Ji+LvvzL73dPBWVHFESgwrUQn2gTKnJNsc\nH49lDr3bfdp0zGPG8I2riU9zQISHQ6R46y0ID//7Hyb+9etjkn70KJq7e9eyhKm66Qdejx7hmLx5\nMXD76SdkeG/YEAO6qCgMromwQqWKGYcPQ/hQV/JOn8YKX+nSGHT26oVB86ZNmOA0b655CaieB2pu\nD+utbFmsbrVpg5Wonj1RrnTkSAgaU6dC4Pj6axw/ezY8HkaOxCS7Qwd4CdSogdXAAgW00rWuttSp\n4YVQsCD6UbMm+tKhA9oeORKrbmqIyJQpuCaTJmFgO3QoJgnduuE177yDlelChRyfMzISAtDIkRgE\nr1mD6xsTg1W/d9/FZ/H66/i/6l4cHY3PLT4e+4YNw4C3XTsM4OLicN2rVEFIzY4daEP1sqhaVXOI\nwOBO29SIrZs3cQ1ff10rt3rhAq5L+/aYcMyaBdGECMfevmlinjCBlbRpLRutUsX7JfpkRHK3zUTU\nm4gUIgp18H9mxvc5XTrN2+jePdwH1uU1jXLhAiYhRkSQadNgh+xFJv31F245Z2zfjom/kZXiS5fQ\nL3ejGevUcV6t5dEj2AdPJ7pXr8LeRUbC5rZrB1uQIYOtB5g19+8j9G32bEzUmzTRcvAQwdY6K93p\niDFjYLdPnYJNcmfiq4a4McMWVqzo3rkbNoRw7gkIN8BWuzaeGy+/jBCkP/+0rIBhj48/xvOzb1+E\n4DFDXPDGK+Prr10nK23Z0v1SuqtXo1+u8sPcuQPPnGbNPEu0ywwRKndu9/voyXnCw52LM1LECBJ8\nlbhRT1KFkXgjiPgqKeizzonh777r2/CVp0NSiQ1JcS8nF5L7QNnIlqJsc0ICc506rFjPdKtW5Zt/\n/8tRUVjMjozEBPXQIS3e89VXsUqUNSsm1KpYoShYOdc398EHWIlUV1L1YkbjxhjYJiRgUDx6NAQS\n6y5VqmRbVpUZIsqQIQg5KFIEgkazZpjofv+91q+1azGRPncOK3f9+2MVN1s2LR/DF19gsGVvoLV/\nv+aybM1//2HQ+d13EHmqVsWgPlUqiBr6uPFy5TDwIcIkpV49DEB/+QXnsDdwU1fIrFHLvC5cCNfb\n2rXxeRQsiBW6UaOwsnf5MtyerScICQmY8HToAE+MatUg0Fi/fzWBpvoecuSAqKBO5s6cQUhLhw4Q\nkurWRR+6d4dnR8+emmfNvXsQJ9S21IH27dsQsdTrsmABrkWdOghRuXwZn1GpUhA1ypdnvnvgDLLw\n6YU4IrzI1/UtA5zkbJuJKL85T9E5VyLGhQuYDOm5dAnfM09WX+fP11bxnTFjBs578qT9/y9ebKyd\nY8fwnRg92rFwEh8PG/LVV67bs6ZiRef5a0ePNtZPaxQFnl45c0LkffwYNiFrVoiT5cp5XomiRAlM\nOps2RXvvvw+RxWgehS5d8Dxp1QrirDuoXn7MsEtTprj3+m7dUKHGHa5fR54kNV8REcKj3BVwqlbF\ndTp9Gs87VUS6fdtzrwwjIlfbtp7lnhg4EM8GRx5AFy/Cvn/8sedeQiqHDuE5snixd+044upVPON+\n+835cVLECCLUKg/BGEZi3S9vvEL8lRPDm3Pr++Btck5ffhZJJTb48l5OTiTngbLRLSXaZt6+XcvE\nqE4GM2Tg2K++41KRJh4wAJPk3LnhAhwfj4mzPnlnRIQ2wP/qKwxIDx+GsKAeIwRO06cPEkreuKGJ\nGW++aRkzHh+PQbF1glAiDM7q1sVAbfBghHCsWIGJRocOmNAIwU8n3IcP45zDh9u+dUXBJHzBAksh\nICICYsiXX0IAmToV59y1CyuyPXvi71y5cPwrr0DA+O47CBrWq4HWseqKAkFlxQpcr3ff1cqbFi8O\nEWLYMFzvEycQNnH0KMJFBg6Et0JoKCZWqgCzZo3j9A+1azMvX46JwfbtGHznzKl9HkuWQGj67juE\ncrz3HsQC1etBv+ld6dVyq61aQTtQw4HUJIyzZuG4e/fQR7WNXr3wue/ahdW31Kmxv0kTLT/H66/D\nrXjOHG3y9PHHzOXLKXx/7A+sZMpk2bGyZV370gcpydk2E9EiIiptRMTYvBlimzWHD0McVHO/GEWt\nzuOMX37BvarPr2PN5Mn4/hvh0iVM1nr0sD9R79XL82SIJUpYlrfWc/067KEjIcYRV65oAqI+weK4\ncfBgY4a3nruTeWbY+SxZNLt1/To84EqXhp0fNsx1fov69XFcnjzuR4+pIsbNm7DjRhJb6hkzxlgO\njSdPYF+bNNGEmk2bkAOpfHn3zsmMSX7mzNrCQL16mq1V8dQrY+FCmFJHQkLnzgjLdJeEBDzP7T2H\no6Px3B4zxvPQMGsOHMBzY+lS37Sn8uABQjONVAGSIobEhqTIr+ErLwJvE1Mm55wYvm7DF+KDvjzq\nzp07U5zo4GuS80DZ6JZibXN8PPPw4aykScP6ieGTV2px3efP8fDhyG9QrBgmlmoFiyNHLPM25MmD\nQal+onvsGEIdsmWDZ8dnn2GCnCkT3Gd79YLoERpqK2b88AMm9Nev43c13CRvXoSIDB6MMJAGDTDw\nzZ5dqzpibxs8GEkg+/aFp0DHjpiwt2gB1+DateEWHhLiuA11y5IF72fAACSznDYNKz+bNyNXyIUL\niA9XFE3EMJkw8DxzBu9zwwYMGqdOxWSqVy8IIkbCUSIiMCisVw+D41at4N7duTMmZ/37Y3Dfp4/j\nNp57DpO/cuVw7bt0wfupX982LGb1ahz77794T+PHY3+qVJhwTJsG8aF/f6xS7d8P75kvvtDiv4m0\n8ny//ILXqftnzUK7jx/j86xVS0vouWePeXJX6gLH16hr0TEldWq44xgpKRCkJFfbTESNiWi8+XeX\nIsa0abjH7aEKasePG79ulSs7Fz5mz4atcdXm559jM8qdO3Aievtty7CBJUu8K0uZOzdEB3uodsEo\nioL3nzMn7Ka+n4qCZ8Fff+HvadM0QcMdduyATbd37n37ILbmyAG7PHu2lhBYT4kSeO6460WhQgQx\nvXVr91+7cCG8FB1x8CCSToeH4/OePt3S40IVcdzN/fDPP5Y5WJYtsx/O5IlXhqLA0/Lnn+3/v1cv\nPO884coVfFYbN2r7Nm3C9XEnua5R9u7F/btihW/aS0zE4kbbtsbEFiliSGxIqvwa3npQ+KJfyTkn\nhq/aYPZduVW1LV9VPUnpJNeBsjtbirfN+/djyU03STRlysyDc//MI4Yr/OABVhDz5rVM7nXvHgbI\n6suyZ8egU5+UThUzcubEhP3GDQxmBg2CmKGuxquv37kTwoR1jPelS5hAV6qEwU/nzpiIqCuX9+9j\ntXHjRgyuc+SweDtPt+LF4bnx008IMVmxAq/56y8MoI8dg9hw5Qom9R98gHZ37YLXw2+/IWTliy8w\nsPvgA0y6q1SxTHSq31Kl0vJgvPgiJurNm6OMap8+aKdKFe14teqLOtA+d07LTP/33/D6WLMGk5+5\nc7E62ry5mhnddmvXDsdt24ZQFHVi8vgxVgpbtUL/qlfHyliaNHB9VtNLfPYZVvYiIrT3M306BuO3\nbkFQqVULIpZasaROHfx8801tpdNkgiu/2q9Ll7R+NGqEfWFhON+jR8y9eyk8LGI6m0KskndGRrqu\nv5cCCGTbTEQbzAmX1e2I+WdjItpFRCHm484RUQ4HbfDQoUP51VeHcs2ajktf//ILvIGMJMN8/BiV\nNByt3v/2GyZcx465but//4M3hjs8eoT8AjVrQuw7fRr2zFk4iCscvR81ft+6fLIjrlxBqF/p0var\nqmzciP+pE7noaNhTdxk+XMvn4IhHj+ApV78+ngudOuHZoChaTot8+TyPIFOduPQTa6Ps2WPrSaF6\nk5QpAzv/+efOS+w2agRb6A5z50J4V0lMhL0+eND+8e56Zezdi3vf3nB58GD73hRG2bQJbV+5gu9Y\neLj3JWKdsXs3zrFmjfdt9eqF76sjvdyd0td+N8zebCl+oOwFvg4T8NUk11fhHJ6WZ/VdZRXvy6R6\n+9kEernVlEogD5R9tUnbzBjd9+/PitVMfGumBjyxLzJm/vknJgsdOmgl5vbvhzeFdUWNqCgIHKtW\nYQClihnh4Ugkpn69Y2Ox2v/xx2wz+e7eHWEjq1ZhQK6e88wZhGOUKQNh5dNPMWjRr5IsWIAJNDMG\nH/v3w/OhUycMQDNkwOs7dIC3h70ypfXr267mPH6Mwfv8+RiotmgBr4H06bE62KwZBny//qq9B3su\nuqdOIUFb9eoQEJo1Q2Z/fWjIxx9DTNBz9y4Gf998A/GhaFF4T1Srhuvw228QXUwmnDd7dstV2vh4\nhMq0b4//1aiB1cxZsxAG9NZbWoJUZggQ3bppn8n332sTh+honL9DBzhF5MiB1aqff8aAdeRI9MNk\nwucRFQURqm5dfG737+OzefVVtF24sDZRGdH5Mm/L8obFDaGkSqUpHJJkaZuJqBQRXSOis2YBI4GI\nzhNRTjvHMjPshqvEmMOH43vtarK2c6djV/558+DVYLRSRdOmnkUyJSbCLqh5ciZNcr8NlYQECMH2\nVojr1TMW7qEo+P6Hhzt3bmrRwlK0sQ5vMEq1arBBRomJwTOjeHHY2LZt+akXl6eoXm2ehO/cuIFn\n3pMnEJIbN4bXWdu2xvN6fPstRGx36NPHNv/HF18grMcR7npltG0LrzxrvvoKIYfeMHSoZs4dCS++\nZOdO3NPr13vexuTJuOfcuceliCGxwRdeE3oCJR+GL8qzlir1IadOPZZLlfrQCxHFu4oegZQXQ+2P\nL6uepGSS40DZ3U3aZh1//82KVQWTu6my8dKWs5kVhWNjsQIZEQFviZo1ITQwYzC8dKlWrrNSJfxf\nnWQPHw4vibfeshUzVBxV2ShYEKEoWbJgMtygAQZvrVtbvqZXL8TKd+zofAD/6BFW1L7/Hm2oIQ7h\n4fAiUD1MWraEa3BZYGrrAAAgAElEQVSzZhjMpEuHn82bQ6yYNw+TeXtZ5fU5MUwmeFH07w9Hgty5\nIaisXGmb2FNR4OVS1xxB0b07xIbs2fF3uXIQFmbNgjjkLCFa8+YQVLZuRdhIeDjc6SdMwOTg0iVM\nTooW1Vat4uKw6te4Ma538+ZsM9lasABhKcWLa+LFyZNYjcyVC2UlExMh9kRF4Zxr1miTrVat4I2j\nRjJ9/DGug2JS+Lc35vDd1NktbgClWDGMSiVPCQbbbBYysjv4HzPDjrj66BUFYtobbzgvUDN+PFam\nrVmwAN9JNezJCC+/jFwznqAvIb18uWdtMGNylS2b7f7Vq/HddOWpcPkyvALKlIHQ6+y4bNlsE1FW\nr+7eJDEuDnbckyrIioJQFH1YXKZMsP8VK+Kzb9sWVZ5GjYK32PLlsLunT6Pvqv0hsgwFMpnQt6tX\nITAfPIjPdvVqhI/MmAH799VX0FHVPtSogf+5O7w8fhzPUHdyQdSujf7ouXoVn4sq8DvCqFdGTAwE\nGuucJBMn4jnkKUePamV1iRC6Wbs2RLO1a13331O2b8czb9Mm91+7ahVswpkz7r1OihgSC3wdGuCr\nBKG+6JcvPClQ1WMFlyr1kV/6oPbDd7k1PPcKsW7PV1VPUjLBMFB2tUnbbMWDB8yffsqKminTvJ0o\n2RRlMxgDD/Vfffogy7iKKma8+CK2OXMwge3TB39nzWpZZu+rrzAIVBOtqbHCt29jIFq3Lva3bo2J\n+5498JCYPBmiQOvW2mq+oy1fPmzh4ZiYp0+PsAgh8HuWLBgQO2tDFVMqVYKXxrvvYlA4aBC8KmbM\nQHjGli0QUvLkwaYfvOXMCWGkXz94r7RqhWSWFSui2oqr82fMiP4Kgf6rfQ8Px/srXBguxtavK1MG\n11kdkCUkYEKXIwcGknfuYFXx7bfRXoMGuNbqpEWNv05M1EJd1FAVtdzq229jlfvMGYgXkZEQL9au\ntRysX7uG9622obp0K1evcXSxZrad79HDfmB8CicYbLPZI8NpToywsKdmxynx8fguffSR48nhW2/Z\nenUsWgTh7dAh1+fQU6QI7n1PmD0bIsPy5ZiEf/SRZxP7c+dgk/TEx8M7zJk4oigIwwkPx2TeVWqZ\n4cPtJzG15x3gjFWrMPH3lOnTYRJq1sR7iI2Fvdm1S0v0PHo0+tWuHYSNihVxjTNnRrJkvWnJnRv7\nhYBtzZkTn2uZMshTVK8eRN527SAc9+tnmazYU7OkKM4r39g7Pnt2+9+Dt99GcmZXGPXKGD4cber5\n+Wf3PUeYIe4PGYLv8A8/4JplzYpny8qVSNxcowaevaVL45k4axY+U18l+9y6Fff5li3GX3PoEF7j\niW4uRQyJBYFYVtVX/fI2FCMQ+uCrfjD7xiskKfqVkgmGgbKrTdpmB2zdyoo+CyMR388YxrxwIT9+\nzDZzzXTpsKK+bJm26rVsGTwHXnwRE3xFgTvuvHkYFNmbqN++bTuAuXYNXhOvvoqJd8eOmPxaeyEk\nJmLQQoSkc+XLa6v9uXPDq2DsWKzoOYtKuHIFA1qVJ0/Qh3/+wcBm1SpMRCZNwuDWqtCLzZY/P9zP\nP/gA3iJffIH3M2cOfq9fX0ss2qIF9m/eDCHAEYmJiHdfuxYTkbp1MRC3d3799fz7b8SDV6+OFbZ2\n7TBArlULITf2Es49emTZXsOG2gTuxAn0s107TCJKloTgoYoXDx5AxOrVy7Z/YWFoQ1m4iOMyWJZF\nUQoXdm/kmcIIdttMRHzvHu4ZoxOae/dwbzsqVZo/v2WugsWLIWB44t6eMaP7K/DM8J4KC4PQyYxV\n6LZtIWLu2uVeW4cPY/KnZ/JkeJM5umYxMZjcly2Lag6uSEjAdbMn8ixcCI8to6i2zxNWr8Zn1aaN\n/ZAHIzx8qAnepUvDwyQ21v3yng0b4vNv1Mi5548z2rfHM8AI585BELfHn3/C/hr9jrjyynjwAEK4\nmsCVGWGK775rrH2Vbdvgtdi0Ke45RYHwvnUrnq3nz2vHxsdjcWLCBIj8efJoz+tx4/C98CaH8+bN\nECW2bXN9bEwM3v+CBZ6dS4oYkqcEallVZu9yWVi34211EW+vjS/KrPrCi8LXooMMK/GeYB8os7TN\nzomLQxyC1az4Zlhx7lbzKCsKVqf0/1bzNFStijjY7dsxWShfHgPnJUu0uGFFgftu9+42p+CICAy2\nu3SBe/C8eRAf/v4bq20VKmCg07079qttTp2K6iN67t/HMd9+i1J3JUtiEFq5MkSImTPhSq4OSHfs\nwP9UEhIwaV++HCXhOnSAO3n27NiqVsW+MWOwInjqFAbb+hKr+r4sW4Zwkjx5MNDr3RuDUb37d2ws\ncneog9PHjzHQmzIFAlDZsvh/uXL4u3FjuBaHhaFM7M2beG1EBMSXW7cg/qjuvGFhEBsmToR78+HD\n6Pv338Nl+p13bPK9MpFlOcclS+B+XKsW8wsv4JqsXo1+fvmlFk6UN69lG998g1vrlfAT/KBQSduT\ndO7sXo3AFEiw22Yi4oMHcQ+6w+XLuOfnzLHcf+kS7nn1+/THH5hMOQujcERcnOV3053XlSwJjwJr\nFi1Cf4YONT4x3r4dHgMqd+6gDXuCg6LAzoWHo4KR0Unh0qX4Xtvj/HkIC0avQ5kysN/usncvPrud\nOzH5d1RFwxULF8LeEsFeeVod45NP8EyqVw/CtCdeA7/9hgpTRliyBMKJPRQF95Q7pYZdeWXMmYOS\nouozVS0Va4Q7d+BZlDcvnvsqjx8jBIgZ9r9SJcf3oFqOfM4ciC1ly8Jbo1o1eF8uX+5+NZ8NG3Dv\n79jh+Ji4ODxPv/7avbb1SBFDwsyBW1bVsm+e5bKwbce7xKC+ESC8F0J8kVvDlwlc1TZlWInnBPtA\nmaVtNsb69azkz88WK+VEmD1fucJbtiC0gQgT6TZtICboQ0jefBPu3pkzYzC7eLE2SNq8GZOV2FgM\n7qpVY7OYCY+Bbt3gCl6pEgbNadPC7TdfPosucbly+Nm3rzYx378fKznbt0MoWL8enhRz5mAwWqkS\n28yhHW0vvQTRZOpUDBqvX3c8gNXnxDh/HiukDRpo8cATJmjeDPHx8FDRV0IZO5afikKOkpHeugVR\no0QJvPfZs20Hhq1b238vkZG45lmy4DOJitLiytWytvpt/nwt/jox0TI2PHdueJC0aAFRIyoK13bi\nROzLYi4wEhpqnjTeuMH83nuskGXIkpI/v3eZ2FIQwW6biYgXL3ZvpV9Frcyhn6AtWqQl+122DJN9\ne1U4jHD6NEIU3EFRYBfbt3d8zOXLsJGVKhkLVVm5Et9ZlT59IFRac+kSbM+LL7ofNlOvnuMkmoqC\n66gPJ3TEtWt4DrjruXDmDMTepUvxd40anlUVuXoVfd29G+Zmzx787cnQeeJEeB3GxeGz6t/f/Tau\nXzd+PQYPRliGIyZNQoieuzjyyjCZ8L7Uz33dOnj6uWLxYogX//ufVpVK5fZtvF9m3DdNmiBS0Cj3\n7uHRMHQo+hISAiHqww8hCp444VpMWrsWdsGekJaYCKHoww+9C2WRIoaEmQO3rKov++a76iL+DwXx\nZbLUv//+my9fvsw7d+4MqESuKZFgHyiztM3GuXvX7tK8kj49c8+efO3gFa5eHTHInTtjwtqxI8p6\nXr+OVa8PPrAVHn78EQKFdVyvdU6MNm3gKfDkCcIb/v0XqyvTpmGA5yykI1s2eB1Urw5X6/r14Qrc\nrBnif1u3RjjEW29hYKR/bc6cmJQXLYr3lDo1BlAREVghqlkT7aglU0eORKyvvX5kzIjjq1eHO3P+\n/FhhSp0afbT3msyZMejSJwC9fBnnCAvDJG/LFq384MmTuNZ2HGi4bFkIPN99h9WsQ4cw2Hz8GJOE\nd97BtS5TBsdnyABhxDohp3W7uXPDw+XXX9G3U6dwPcPC4HESGWkut3ryOnPfvqzYi3upVi3pMrwF\nIcFum4mIv/kGSXY9YdMmTFiOHsXfvXvDO2jFCuzfs8ezdpltPbWM8OOP+M67yqNgMmFSmiMHXuNs\nQjV3Lr6zzBBWcuSwLDWrKLChYWEof+xuSdLTp/FaZ6F3jRoZq9Iyd67x1XyVGzeQP+mHH7R9BQrg\nmeIOioJ+DhqEv4mwb+hQPAvcnbQuX66JR//9BxHZupKUEcqWde4ZoPLGG/DGcMTdu3h+GMkdY40j\nr4ydO/F8un8fCwBVqzpuIyYGYSMvvOA4ZCMmxjIk5vZtnHPRIvf7zAzR4eBBLTl3wYK4/998E14y\n27fbv29XrbL//e/eHWMNT8v2qkgRQ8LMgVtW1Zd9C5acGL5sR9+WL5O5+trDI6UQ7ANllrbZPRQF\nCRhUtwsrMcPUoyeP6HKFIyLgTTB4sKWYoTbxzz8I7bDKHcotWmCCvXIlYsfVAb/RnBgHDiBh3q1b\nWLX56ivE1RYsiMl57drwIFi4EP1xNHjt2FGrumKNyYRB45EjEFA6drQfdqH3DhkwAJ4V06djtWrz\nZgzADh6EV0fr1pgslC6NVb1t27BC16oVPFP07+/99zFg7doVA7J58zBBq1kT71FfJTddOsQUZ85s\nu+IXH4/PSM2JUaMGPpP+/dGXvn0tY/7PnrV8X6lSITnokSPadfz3X3hy5MiBBHG//w6BY+KAa6z0\n6m1fvEiTBif1pN5hCibYbTMRcZcu3pUgnT0bYuPly5iE9emDCYy7uSesUUtrGmX/fnynTpww/ppj\nx2A7GjVyPDn98UetxGaLFhBpVC5exAS9XDkt/4a79O0L2+KMESNgU13RoYN7n+WDBxCKBg7U9j15\nAi88d705ZsyAF4rqpaY+8uPjEZY4dap77R09igm7yvnzmPBbhzC5ok8fhPa4Ik8eyxwS9ujY0fLz\ndxd7XhnvvAOhZ/9+XD9rTCYITGFhGBbYq9KlcuoUFgL0qGFCnibItSYmBs/2Tz6B12TGjFi86N0b\nz131e7R8uaUn1rffQmj3hYYuRQzJU9RV+UBbjfeVR4evSrT6QoDwtkSqL9tJKi8cX91LKYlgHyiz\ntM2ekZiIUc9LL7E9MePUmz05KvQKT54MQcGemKHSv79NE0wEb4d06RA+UqUKEosNHIjBUoMGmHjn\nyAG33r/+woDqm2/sl1BkxqremjVILNekCQZsoaFw3x44EBOTCxcwIa9bF66nJhNic9euxUCnSxcI\nIfnywUuhdGkkIhs0CBOmPXu0gZA+nERFUTCh+OorxLKHhGDl6McfcW5rBgyAGLB0KQbJ6rVRQ3Qi\nIiDSfPklrkutWrgun3yCQaNK6dKYuCUmQkD56CMtJ4ZabnXDBsRW16unTbZiYiBUWHuJrF1r2U9V\nvFBXfG/fxnUuk/MqX3irFysZMth+wGpMkXXdRokhgt02ExHXqwehzhtGjoQnlepZ5AtHzClT4GFk\nhDt3EPo2f77753nyBDYgd26EwFgzZgwmwlu3whY8fAgbM20avotffOH5yvKjRxB8XE0w166FgOoM\nNTfP8ePGzp2QALvYtq2l0HzqlPthPOfP41roy+fqH/lHj+I54k4pzQcPoOPrddcjRzAxVktVG2Hd\nOsucJva4ehU23ZW3yP79uMbuJinVY+2Vcf48rs3GjVgc0HPsGITBqlU1bydn2EtCy4wwy7JlbUuN\n+4L79xFCOnIkvFmyZ4eQ0rYtxhBEEOry5rUtK+spUsSQ+BxfJgj1lZeAL3NReJMTw5d98X07vim3\nKvGcYB8os7TN3qEoDsUMU7r0PCusJ3dtdoXj4uyLGYmJ8JLYtw8DQ30YRvr0GBx//jkm8b/+ilWr\ndu0QjmGvlKi6deuGY4cMQZv9+mGw/+mncBvt2hVxu40aYaDuqB39lj07Bj7Dh8PL49o15xOE9u3h\neaEm8vzoIwgRRYqgD8uWYeB0/LhW8WTOHHiijBiBvlr3oVEjDMjWroUo8+QJ4pYrVMDgbOJEW03g\nyhXt9blzY2V29Ght0HbuHISQIkXQp+vXMbCsVk2r7EKEZGdPnljGX588Cc8QVby4exefc5s6V3le\n3k/ZlN6OeGGd3VXiEcFum4mIixWzTCTrCYqi3Xrr1nnXlsrQoc5zFOjP3bQp7JE3bN+OyXvHjpa5\nCwYNgj2qUAHhGhcuQJQtX95y0u4Jc+Ywv/aa6+Nu3YIY62zyfOoUJopGwjYUBbb5tdds8/usWwcR\n2SgmE4TdUaMs91s/8r/5BvbOHQEgVy7bfBp//QVbaNTT5+FDeMk503FXr0YIpBEqV3ZeWtcoeq+M\nTz7Bczh/fvzv8WM8k8PC8Jwwasb//tt+CJaiwOPDXi4XX2MyQXD56SeMI/SPpaxZIdarybpDQyHg\nhIVhCw+HSJUrF7bcueEhkzcvtnz51IUGx3bZ70bVm00OlP2DrxOEBlIOCV+JBoH0nlR8XW5V4hnB\nPlBmaZt9gxMx40nq9PxraE/+d+sVZrYUM9TD9KiT6jx5sGLSsiUSQzZsCG8HvSl48gQD5PXrMfC1\nJz489xxWu3r1QkjHxIkQCn74AW7E06Yha//s2ZgIjBljv53MmTHQrVQJ5RBz5EAui8yZIajo82N0\n6GC/jTRpMODJkAG/h4djhatyZbh+v/suBo6DBqGvadPidTduWF6ja9cg0uTOjQHu8uUYgF+5gpj/\nYcPgUWF9/pMntTYePsRkLEcOXJvvv8fEIUsWiBQtW+J/7dtbxtnfvYu21EooX3yheZ8cWnOFp4d8\nwk9S24YbPa2zK8ULnxDstpmIOF065/kYjLBunXYLliuH74i3dO5srDzmuHHIEeTMzd4o9+7hu1i0\nKERPZoihFSrAfkydiu/jyJHex/Uzw2Y6y8Og5/nnna/GT5kCW26EkSPxOdkb8v34I3IPGeXbb1FZ\nxVqcsH7mJCbCto8da7ztl1+GuGTNihWY5BoV3+rUse9lozJyJLwFjPDLLxDafYHqlaEX+bdvRxhN\nkyZIFusOmzY59tiJjcVz8Ndfve+3UebMgShRqhQWTLZuxdjk1i1UPvnvPzx3b9yAsH/tGp6DV6/C\nhly+DE/FmBhci4sXISJKEUPiU5KybKe/c0j4MplmoLwnFZmMMzAI9oEyS9vsW5yIGQ8pPZ98o+fT\nWcStW5aHDBpk6dKrD2/YuxeDjkaNMMlu2RL5FvQuqFu34rRqN86dwzH9+2Nynj07VkuaNIHXwOrV\nGJxYc+EChAa1nSNHIGyo5UJfew0hFmo29Hv34HZ74AAGar//jhKAjjw6ypaFK/oPP8BN9+JFx/P6\ns2fhIqyyfz8mA9myISZ/1CgIFm++iT6HhsJlVz1X4cKI2LhzBwlEHzxAnxcvhkChRnWEhEA4WrgQ\n+ThefhnXUm92z5yxLaerihdKzGWOrtWDH5Id8aJcObjSeJPyXWJDsNtmIuJ8+by7RuvWaSVFa9eG\n4FawoPGwBkc0a+Y6IeGOHZgk+cpNXWXxYrQ7ZAi8PFSBtUIF2CpfEB0NW2k090Tr1vbLSau0aOG4\nwomemTPhceJIaOrXD5N6I5w4ARtnHQ6jeuZYc+YMjj92zFj7bdo4nnTPnAm7bWSiP2qUc0+d5s2N\nl4J9+BBCljuhMa5YuVIz5dmz4/7zxJSvWGFZScea6Gj03UhoireMG4eFB/Vc8+djQcAX3x8pYkh8\nSlIkCPVFPgxm35VH9cV780VYitonX+XXkMk4/U+wD5RZ2uakwYVnRmKHTnx+y1kOC8OKlT7fw0sv\nYZBx6RJWFCdMwOCmd28IBrduQSSoUweT+ffeQyjGgAEY5Drr0pkzmKh/9pn2+gIFMBlQwzQWLUIC\nUXvcu4fVyU6dMMgvXBieEytX2lYdaNfOcmD/6BEGTX/8gXCOjh0RFpMnj5Zfo3lziC4zZmDV6/Jl\neHtMmGB5GdOnx4Dytddw/KJFSAD6zjt4T5072w7IXn0VISH6dho2xOTi3j2sOHXqhMHc9OkQVi5d\ngmBToYL2mmLF8H4jIpgTT53l+E5d+EmqdDafM5cvDxcRKV4kCcFum4mIq1Xz/PqsXw8B46+/IGao\noRG//goRwFEVBSNUrer89TduwK6sWOH5OZxx5Yqlaf3qK/eTXTqjSxd4aRll4kTYHHskJkJcdTW0\nXLvWtQfDW28Zm9AnJMBjzp63jCMRgxmeHhUqGPNkGTLE+TUaPRrJIm/dct7O/v22+Sb0FC7sXkLY\nXr2MJVo1wsOHls+Mr7/2vK0FC7D44IyZM+HpoQ+Z8iUmE8YRJUvalgWeOxfPPm9FFCliSHyKL0WH\npKhwEkw5MZKiLV+XW5W4R7APlFna5qTFiZihEPHV0JIYPcTH8/btWmnPsmUx8K1WDXG30dEI0ciT\nBy6zqufC1asIDala1aZ5zpABq3oFC2JCkT8/hIc8eTBYyZUL4ogjj4lixSzDPLp1QxjM+PEYbC1d\nir69/z6OTZMG8egTJyJso21bHKe/FPfvQxiIjobnyNKlOGb4cGP5Ofr0gWChVlZ5+BCCR/nycDOf\nMAFeF+r5YmLgqjxkiGU7U6Zog+uEBLhdh4UhD8fJk1pOjNBQvDciJAHdv58xK5k/n8+kj2TFXidf\negmzNyleJCnBbpuJiNu18+zaqAKG6u6/Zg08uqz/v2CBZ+0XLWoZmqXHZIIdcCaoesqjR/j+N25s\n+ZVr2ND7iisqsbEQSGNijL9m505M/u2xbx8mjc7Yv18TnJxh7R3miC+/RHJmex5uzkQMRYG9N1Ix\nZMYM5yEyigJBoWpV52V1TSbYXnuJnW/fhpeNOxF4//6La+lNCJPJBLGvQAEI6ydPWiaP9YRffjEW\nUvTBB/Ds8fXjIz4eCx5VqzoWln77DeMDo9449pAihsRn+LpUpy9DHIIxJ4av22L2/WcocY9gHyiz\ntM3PBidiBhOxEhbG3LkzJ27awtN+MnHu3HDX/eknDGiyZsVK6v/+p+WQ0Nd5v3cPTX36KVyXCxfW\nmi9dGgLIlCkYUMfEYFXw6lXEuV6/jvjXmzcxuOnYEROef/7B4HzlSuTLmDQJg9tPPsFgrFEjxI1H\nRmqhGfa24sUxqHzuOQgrefOiWsKrr2oZ+Lt2xaA7SxbtddmyaXk+li61vJwXLsADIzwcMdCrVuF9\nLV+O1cGGDSHUhIVhUD5okHbp9WzahL6UL48Bd926uNZt2mAVs2lTDGTnzzWxsv0v5o8/ZiVXLvtv\ntGJFXCwpXjwTgt02ExGPGOH+dbEWMJhxW1rnCjh0CMLmuHHu37KZMzsuxzhiBARAX3lGmEzw+ujU\nCeJCrVqYQDdpAo+sjz6CbYuIgN3ascO7802ZgnAZd3j4EOUs7eUvGTUKuTsccfYsbKKR/BuhoY7L\nzaocOoTP33qlXcWZiMEMOxoerpXfdMSWLY499lRMJkycGzZ07t3RqhVyM1mzebPr6iX2eO0198u9\nqmzYgPRFVarYikotWyIkyxN++MGxt46eBw/wzHZU4twT4uLw3Wjc2LUIM2cO7kdPQ86kiCHxGb6e\nUCPZZDNOk2aRT8I3vG3L1zkxfFENxNeVRWRuDP8S7ANllrb52aIocJ1IZyf8QBU08ublx10/5W/b\n7OYcoQqPGQPvgoULsSoUEqId/vbbECGWL7fNWq8oGCAvWoRV0bp1IQy4yovRurX9WOfYWOaDB5Hz\nYvRoTB7q1IG3R9q0EE5eeUUTJmCzMBi6etV2ZezMGUwYmjaFcFCuHPq5ebPlsZ064ThFgejQrBna\nfv55iA2NGmH1KEcOrVzs4sVauViV+HiIJP/9hxwer7+uXccsWSD+LFqE/3/+OXOOUIWndtrL8T16\nW8b7WG9p03oeKC3xmGC3zUTk9kRswwZbAYMZ9qFRI9vjL16EiNejh/HKFPfvQzywd7tv3Ijvoi8K\nqp08Cc+vQoXQx1GjtIn57t2YaP3xB0LSmJHk+OefYYfq1MEk210UBV5w69e7/9ry5e17SdSt6zhx\n5X//QeQ1kiT13j0IJc7MzOPHmAA7SxDpSsRgxop8ZKTzpLIXL2q5k5wRHw8BrV07x32fNk2r+KRn\n7FjnApAjliyBx4E7REdD8C5aFM8Be309exbPGU/u77FjIZQb4cQJCPD797t/HmuuX4eA37GjcWFx\n1ix8tp5URpIihsRn+DKvgjY5X8nPP9/WRxN979qKjY3lUqU+5NSpx3KpUh/6QFTxTTUQX7Ylc2P4\nl2AfKLO0zf7BZMISaKtWrOTNy44myE/yF+YFRQdwwwKHefky5WkizdmzsQqmP7xgQQyi1W3nTmw7\ndmjb9u0YoPTogUGeWv2DSBMBiOB90L49Vm6qVMHEKGNGDJCbNsVgbPJkxHGfOmV/lc06nCQ2FoP5\nrl0hQOTKhVCUOXNsVxcVBStSMTEQXexdHtXLYsgQeGocOsR8+DAGo0eOILb32DGIKMePY0Bm3Ubd\nujh/bCzOOfc3hevmiuYlkQM5vmBRh5+LkisXloTHjnWvLqHEZwS7bSaip1U4jOBIwGDG96NxY/uv\nu3MHSXubNzfmKn/mDGyNNZcvw/tp40bjfbbmxg1ovJUqoa1PP0XCYP2EUlGQeHfmTEzQsmWzFStn\nzoSNqV4dwqdRfXHnTrzOkwJCnTsjLE2PWkLUntfKgwd4H0bDbg4dgpjjjP79IVA7e78mE7sUMRQF\nXge9ezs+JjERWryRe+b+fTxHHFUZuXAB9tz6urtKmOqIhAQ8Nw4fdn1sTAw8FXPmxOdnXdbWmgED\njFea0TNiBEQ5o8yfj7LfanikJ5w5g3DIwYPd19h/+QVChjv5SJid22W/G1VvNjlQ9g9qXoVgCyVh\nVkWMjzhNmhVcqtRHAVMNJClCSnzxGUrcJ9gHyixts/8xmRBw26ULwkocTJxPpS3Jvz4/gk+v1oLR\nb96EoODISaBECQweX35Z26pWxfbKK9iqVsWEwVEb6vb887alUAcPhhYzYwZWRbduhYhw6RIysbdq\nBY+NrFm1dl54AYPAgQORZ6N1a6zUVamC/+XKBXElfXqs6lr3IzQUXhsvvohV0zJlsJUujXJxUVFY\nRXTmPPH559FghMoAACAASURBVIi3Vjmy+CT/FDGCT6ePdPgiJTQUbiGbNknhIgAIdttMRC5DB1Sc\nCRjMWJlu2tTx6x8/xvewalV4Bzhj506IDHoSEhBC4kn4y6NHyM3RqBHsROvWyOHhaNV43jx4PagT\n3ty57edTSEiA2FuiBOzcunWuJ3Lvv+9emVE9M2bAM0zPxo2wudYkJuLzaNPGuGCyZIl9bxqVHTtw\nLexVnNJjMjEL4fp8//0H+7t1q+NjihUzvlp/8yZygzi6vsWL23oelCwJ8cYThg93Hr4RG6uVOu/X\nz7hYEBuL66IP5zRC//7IVeIO3brhPvHEye/gQYgQkye7/1qVmTMhBjnKf2MPKWJIApKk8Orwti1f\nigWB+P4k/ifYB8osbXNgkZCA0Xb79qzoE0RYbRdzlucHw8YwX7jAMTEYiB09CjFAf2jGjHCPbdWK\n+ZtvEKrhKJadWXMV1w+snzzBwPjECUxgVq2C98J332FVql495wlCrbfChZFlf9gwtDF7NmL2d+yA\nx8SVK5ZuzLt3O06apxIbi8H2+PGYBJUoYRux07AhVqQLFTIPCs+d49jBo/l8jnIOO6tkyQLFZfVq\nYyn7Jc+MYLfNRGRo8uJKwGCGe3zz5s7bMZkw0Spe3HmJyj/+QMiYns8+gx0wOiE3mRDu8eGHyHNR\npw5Wfl0NlR4+RO4L/cS6Xj3nVVASEyF8REZCfHGUtubmTYgoN28aew/WHD2KSb2eAQNsV98VBQJw\nnTquV/31jBsHDzp73L+Pcy9e7LodoyIGM8KQChd2/LnUq4fngVEuXoSXn71wl27dEDKkcv8+cih5\nanYvX8a9de+e5f74eOSnyJ0bopU9AcwV06dD8HNHXOjRA4mn3eHxY4SCjB/v3us2bYJN+P13915n\njxkzsCBgXarXEc7schqSSPzI2LHNSQhBlSqNppCQEI/bCQkJodWrB9OqVauoYcPBHrdVqlQpiorq\nR8ePE0VGrqSoqNF+75Ov25JIJCmINGmIXn+d6PXXSfz4I9HatUTz5xMvX07i4cOnhxW4cYBo2AGi\nYZ9RjkyhtDakKkUdaUOrZ79GD9LnoHnziCZPJrp3j6hGDaLSpYnOnSP64w+iw4eJ8uUjeuklbBUq\nEJUrRxQSQnT+PFHBgkSpUuE8zER37xKdPUt05ozlz7NniW7eJIqIQDtFimArWhQ/P/+cqEoVolq1\n8Bp1O32aaPt2ohUriAoVwvFFixI9/7z2e2iodkkKFULfVe7fJzp4kGj/fmz79hFdvEhUpgzeS+nS\nRImJRLGxeG3XrkQtWxKlj48lXree0l2dQ6bQvyjN3VsUQkTW1pkzZiTx5ptE77xDon59ovTpk+Sj\nlkhcIYTz/2/cSNS6NdHixUSvvur4OEUhSp3aeVupUhF9/TVRgQJoa9kyoooVbY+7fp0oVy7t7xUr\niObNIzpwQLMbjjhxgmj2bKLffoO9ef99ouhoovz5nb9OZdw4okqViKpX1/aVKQOb1qiR/dekTk30\nzjtEb79NtGQJ0YABsE2ff07UuLF2jWfOxN85chjrizUvvEB07RrR7dua/dq4keibbyyPGz2aaMcO\nom3biNKmNd7+uXOwjfbo35+ocmWi5s0967sj3nwTz4w+fYimTrX9f5EieA4YpUABPNJq1SIKCyN6\n4w3tf6+9RvTdd0T9+uHv6GiiyEii557zrO958xLVrk00Zw6eAcxEy5ej/fz5iVavxnPPE9q3J/r+\ne6IFC3BvGeHRI6KMGd07T7p0RAsX4jlauTJR1aquX7NwIdHHHxMtWoRnv7d88AHsR+3aRH/+iee0\nxzhSN5LDRnK1L9ni6woZvmzPFyVWfd0nWVEkeKAgX+1jaZuTB/fvI0i2aVNW9IksnLg6KF+P4mOT\nNvJHb93mbNlQum3vXjh7REfDVbRbN4SIZMwI111HTYaHIzxkwAAkYdu8GckxnUVVdOhgP+O8/i1F\nR2Nld+xY5i5d4JKeIYPludOk4adhKCVLoq+VKmE1c/p0xD3Hx2N1tlUrxMh3b3eP//15C5Yv330X\ny8tOrpmSNi38dufPR8ckAU+w22ZXdnnjRnwvt21zfa3mzbOfONERS5fCu8qeh8Pw4aj2w8x87hxy\nCTirCHL9OnINvPQSVr979YKru7su8pcvw+Ps7FnL/XPmIMGxUUwm2Jxy5RCO9vvvsGNFi7JbOUjs\nUbMmHOmYEa4WEmKZpHjWLOQT8WS4+sYbtlWamHEf5M9vGR7njMRE454YzPDci4hAiI8133yDvCXu\nsnMn7i/99b57lzlTJi3HxvffI3rPGzZuRIjh7t3IjxIVBac6X+Rgdrfkaps28Dr0hGXL4MHiKtRr\n0iSEf3gaguOMn35CH06dcn6cM7vsd6PqzSYHyskXX+d48H1VEe/FgkDOiSHxH8E+UGZpm5Mfd+/C\n97pePVYMxnAkFirKx8u04pHZvuHOJTbznMl3LQZf8fEY+KgvyZ4dWog60C9QAAPMNGkwcSpRArHe\nDRuihF6PHggPmTQJk4olS9BOpkwYeP/6K/PEiSh/2r27VnavalUIE7lzW+bBKF4c8bzp02t9qloV\nkx+9e/G9e8xTx8Zy20Jb+euc4/ifCq05sVgJVoRweU0UIZDg45dfnMfYSAKSYLfNzuyyOwIGM6pN\nvPuusWNVdu3C99K61GPXrvieq67u48bZvvbhQ+iBDRtqJYvXrvWu7Gq7dgh3sSY6GvbIXRQFIk3F\nippZ8DSUROWzz7QSnIsXw7yorF8PwefYMc/aLlkS71WPKjCsXWu8ncRE5lSp3Dv3pk2YHFsLJb//\njkSinrBqle31UHOXMGtlwT1F1f3Vz/a773xX9lelZUvjeWCaNTMW7uOIvn1xP9kL2VIULDAULw5h\nMamYOhX32+nTjo+RIoYk4PB1jgeZE0OSXAj2gTJL25y82bQJisALLzBXrOjaS0O3nUpdnA+88C7/\nN2AclpViY7lnT+eJ7Z48QSWRgwfhydG9OwaeGTMaPi3nzIncHQMHYhB85IhtHgxr3nwTq6dq8ovL\nfcbzrmJt+GSqEmwi14IFE7GSOjWW4vLkwYzuzz99/GFIniXBbpsd2WVVwHCWcNGaWbNsk04a4dQp\nJPQdOFBbvW7eHOWeu3XDxEzdbzLhK9WhA0TQunUhXvpi+LNvH7621vkNmCFqpk+Pah+eoJYcJUKp\n5Tp1kDPh6lX321q0SMsX0qWLZksPHHBPdLLXx/TpmePiLPe3a+c8eaU9PBExmGHrW7e23HfgAJIq\ne8qsWRDI1dK5w4Yx9+mD38uVg5DmDo8eQUBv1Qrimb6MdoEC8Az0pZBx9iy8g2JiXB9br559bxaj\nxMejItnIkZb7ExLgZVmpkmtPDV/w448QMhzlzXFmlwX+nzwR8F/ydzckHhIXF0fHjh2jqKgor3M8\nxMXF0e7du835NSp53F5cXBxVq9aPjh9vRJGRK2n7du9ydcTFxdGePXuImaly5cpet+Wr6yXxH0II\nYmYXkcnJG2mbg4j4eKKjR7VkEfv2ER85QiIhweVLmYjiU6UnJWt2SvtSGYrLWZRuUyjdSAily49C\n6XxsKJ2+HUonrmenM3dCKWP+UMpXOC0VKkQ2W968RJ06Iba+dWuiCxcQ033+PH6qW8y5BEr74A5F\n5b1DJXPdpqKhd6hgljuUL+MdypnmNoWKO5Tu32i6u/tfyhx/i9IkPCZBru9VTp2aRFQUkmSoiT/K\nlCHKkMGryysJHILdNtuzy5s2Eb37LtHvv1vmhXDFr78Sbd6Mn+7y33/IjVC8ONG0aYiNL1uWaN06\nmJirV7U8F1mzIs9F69bIu+MLmPFe27Uj6tjR/jEvvkj088/2c3i44vJlxPk/eYLcOnv2IMfI6tXI\nr9OiBXJNFCjguq2LF5Gz4+pV5MhYuBDX5JVXiCZNQluecPUqzNd//2n7li0j6t2b6NAhosyZjbdl\nMiEXh8nkXh8ePkQOiS+/RI4hIuRcyp8f+Ydc5W9xxLhxuK/++ovo5Enkr9izhyhbNqJbt1yb7Ph4\novXrkZ9i5Ur0sVUrfGbh4chRUqQI0axZROPHI2/JyJH4LDzts56BA3EPufpuVa9O9MUX3uWpuHwZ\nj7O5c5FX5OFD5HpRFOTAyJTJ87bdYcoU5Hb580+iwoUt/+fMLksRQ5LsUYWHY8caUVSU98LDlStX\nzAk0G1LevHkDqm+S5E+wD5SJpG0Oep48ITpy5KmoQfv3Q9hwdxRrj0yZkMVO3bJnx8/79+nAjkcU\nmoOo0IvZMVq8c8dyu32b6MEDr7vAqVOTiIzUxIoKFTDLkoJFUBPsttnaLnsqYBAhaeW2bfjpCQ8f\nQpi4fx/9IIKocPQo0ZUr+N/77+Nr52sWLcLEef9+x8lJ27UjqlbNscjhjOHDkaz02jWiJk3QFhHM\n5saNEDSWL0dSzRYtsDlKsMlMlCcPPqPmzYmOH0e/unQh6tHD/b6p7NxJ9OmnRLt34+///oOosWiR\n84Su9vBUxCAi2rWLqGlTCCe5c2NfjhxI2Boe7n57Kp99hvtz3Toklp4/n6hvXzy27JGQgPtw4UKI\nOZGREC5attT6peeDD3BMnz4QPAYMwL301VdEdet6J2bExRGVKEG0dCkELEe89BIm/54IbXo2bMA9\numED7vcSJSDgeZoA1VMmTyYaOxZCRqFC2n6ndtmRi8az2oioNxEpRBSq2zeAiE4R0T9E9LqT1xr3\nV5EELUkRAuKrBJoyl4XEGkomLsvSNkvc4uFD+OpOngxf1NKlDefX8OemkGAuXZq5fXsEOf/9t+d+\n5JJkTXKxzZ5ueruslkx0J4REz7RpCPPwhsREhEqoX8f33kP+AmfJfb3l0SOURN682flx48Yh3MFd\nEhKQ6yE6GqENTZvaPy4+HqVsO3dmzpULeYJGjLCf3+LNN5GEs3FjhNqp4RHeMHu2lphVUZhbtECO\nBE9ISPAsnERl4EC8RzWMqEIF98M+rFEUhMY0aIBrV7s2yp/qSUxEKFWnTkgKWrkySo9euuS6/V27\nkLhVzSdhMjEvWICytLVqed//GTOQI8pZwtDISJTh9QWZMmnfwxkzYBcuXTJe4thXTJqE3Fnnz2v7\nnNllF8WLkhYhRH4ieo2ILuj2lSSit4moJBE1IKIfhPCFg86zY8uWLf7ugl2CtV8oi7qSnntutbks\napTHbR09epSOHWtEiYkZ6fjxRnTs2LGA6RtR8H6GSUWg9ivQkbb52RGIfSLyoF8ZMqBmW9euRDNm\nEEVHk4iOxpJO796oSzdpEtGwYVhCfO89ooYNiV5+GUs/4eHErmo2EpGrXnGqVFjKe/55LFHVq4ea\ndV26wE937Fiib78l+vBDou+/J3EkGrX3Zs5EHbkqVdyvW0eB+TkGYp+IArdfKYXNm/GV8MQDQ8Vk\ncl3+VI+9zzx1aq10aPr0KPf42muuS7d6w4QJCA+oVcv5cWqZVXdRyzzfurWFGjbEtdZVsn7Kc89h\nxX7KFLj0T5qE8tL16hGVLEk0eDDKPjNjNX71anhvRETA7d5bzp3T3PbnzoXnw4gR3rS4xeNXDh2K\nsJlffsHfRYpYlsD2BCHw6EmVCtdu82ai8uURJrFtG1G3bghP+uwzPCr27oVXyKefGivPW6kSkRBb\naONG/J0qFcIwjh2Dd1PLlkTNmuFvT2jXjujxY4S0OOLhQ48eVRYkJMArSe/AuHkzPEsqVkT7L7yA\n0rXNmm2h8ePhIRIdDY8RX9O9O1HPnvh+Xrzo+vg0vu+CW0wgor5EtFy3rwkRzWfmRCI6L4Q4RUSV\niGi3H/rnEVu2bKGaNWv6uxs2BGu/QkJCaPv20eZ8Ed6Fa0B06EdHjtyjyMisFBXl3dPCl30jCt7P\nMKkI1H4lA6RtfkYEYp+IfNSv0qWxGUQwY2R0+zY2NUTk9m34mJ44QVuuXqWarVqhXTXcRN1CQ0mE\nhPgmMNlNAvFzDMQ+EQVuv1ICvhAwiDAZdEdssPeZz5iBXAVxcZjIv/cechBMn27fhd9brl5FvoTd\nBp5YZctiosbsnjn58Ueizp219/vSSwg3aNrU8WtSp8ZnUb06RJa9exFyouaJUKPY8uaF1uqOeOSI\nc+egH1++jIn72rUQkjyFeQsR1fTotWnTIr9EnTrIj1KkCNHZs573ReW55xAeEh6OCf+MGUTffAON\nu1Urou3biYoV86xtIYheeGELTZlSk15/3fKcnTrhXp48GZPxN96Adq8PkXBFqlTQ2t97j6hxY/ti\nhbcixtGjEEvCwogmTkTIzaVLCOVq0ADHPHiAvFNnzxJNnryFLlyoSX/+ib/PnUPulCJF7G/58nkm\nSPboAftSqxaRK73bbyKGEKIxEV1i5iNWi3n5iOhv3d+XzfskEoeEhIRQlSpVfNLO9u2j6dNPP6UJ\nE3yTv8JXfZNIngXSNkv8hhBEWbJgsx7x/e9/+DlsGDaJROI2rVp5L2AQYZLhzWT68GGifv2Itm7F\nRKhECeRpGDECnhI//oh8Er5k8GCiDh0c55/QEx6OSf2lS/B+MMLp0/CeWLaMaNQo7GvWDCvXzkQM\nPalSwaGtcmV4XBw+jOtBhFwhVasiF0LFivgZFeVZ7oKzZ+Ex8OGHcEArX979NnxJmTJw2PvgA3g0\n7NvnWTs3byK/xsGD2k/VE+bIEQgX7ub8cETp0rhPY2JsvTcyZEC+jE6dIJxVqABBYtAgopw5jbVf\nrRrug3HjiIYMsf2/pyJGYiLurYkTib7+GvfA+PHaPff22xDSChRAiqqoKGz791s+epmR9+XsWU3U\n2LYNHjVnz+KziIhwLHJkyeK4jz17on1XHlNJKmIIITYQUS79LkLC8sFENJDgriyRBBQhISGUP39+\nmYBTErRI2yyRSCQpj99/966agYo3IkZsLNFbb8HrIDJS2//cc6i20KABknquWIGJljuVMhxx4ADR\nqlWoVmGUsmUhIhgVMX76iah9e0uPhiZNMPFLTCRK4+aMSwhUSRk/Hv2eMAET8337MBkfPx5VmsqU\nsRQ2SpRwvQJ+7hwSOd66hdCBQKBvX4TMrF6NhK/OYMZ7sBYs4uJwzcqVQ2jSZ59hUj1xIlG6dPBC\nmjkT//OWtGkhBE2b5lhXz5oVwly3bkj6WbIkfu/dG/9zxZgx+Ew7dLCszsMMEcPdXNPHjuEezZ4d\nooR6b58/j7Ca6tUhILRqBYHRmUAmBJLO5smDajnWPHqE+1MVOc6eRcUY9ff06R0LHPnzw0NIUSAG\nOewDcmY8W4QQpYhoIxE9JAye8xNW9SoRUQciImYeZT52LRENZWYbBzAhhEx/L5FIkh0coBnwpW2W\nSCQpmUC1zb5A2mWJRJIccWSXA6LEqhDiHBGVZ+Y7QohIIvqNiCoTXJU3EFExDoSOSiQSSQpC2maJ\nRCKRSCQSSaDh78SeKkxY9SNmPi6EWEhEx4kogYi6ykGyRCKR+AVpmyUSiUQikUgkAUVAeGJIJBKJ\nRCKRSCQSiUQikbjCB4V6/IcQorcQQhFChOr2DRBCnBJC/COEeN3Z65OgPyOEEIeFEAeFEGuFELl1\n//NLv4QQY8znPCSEWCyEyKL7nz+vVUshxFEhhEkIUd7qf37rl/n89YUQJ4QQ/woh+j3r8+v6MV0I\ncV0IEa3bl10IsV4IcVIIsU4IYSA1kE/7lF8IsVkIcUwIcUQI0SNA+pVOCLHb/N07IoQYGgj9Mvch\nlRDigBBieaD0KSmRdtlwv6Rtdq9f0i4775e0ze73LUXZ5kDA3vMhWHFm44OJQLHNzwJHdjYlYG0v\nA4FkK2IIIfITMuhf0O0rSURvE1FJImpARD8I8UwLxo9h5rLMXI6IVhGR+rCO9GO/1hNRFDO/SESn\niGhAAPSJiOgIETUjoq36nf7+DIUQqYjoeyKqR0RRRPSuEOKFZ3V+K2aa+6GnPxFtZOYSRLSZzJ/n\nMySRiHoxcxQRvUxE3czXx6/9YuYnRFTL/N17kYgaCCEq+btfZj4hhGCoBEKfkgRpl91C2maDSLts\nCGmb3SfF2OZAwN7zIcixa+ODiQCzzc8CR3Y2JWBtL/1OshUxiGgCEfW12teEiOYzcyIznycYjUrP\nqkPMrC8KlImIFPPvjf3VL2beyMxqP3YRqg34tU/mfp1k5lNkjrfX4dfP0HyuU8x8gZkTiGi+uU/P\nHGb+i4juWO1uQkS/mn//lYgMVh/3WZ+uMfMh8+/3iegfwj3l136Z+2OuBk7pCPl+2N/9Mg/a3iCi\nabrdfr9WSYi0y8b7JW2zcaRddoG0ze6RAm1zIGDv+RC0OLHxwUTA2OZngQM7m8/5q5I/Duyl30mW\nIoYQojERXWLmI1b/ykdEl3R/X6ZnfHMJIUYKIS4SUWsi+jxQ+mWmAxGtNv8eKH2yxt/9sj5/zDM+\nvytyMvN1IhhTIsrpr44IIQoRVtZ2EVEuf/fL7Op2kIiuEdEGZt4bAP1SB2365EP+7lOSIO2yV0jb\n7N65pV12grTNhkgxtjkQcPJ8SCl0IKI1/u5EEhDotjnJ0NlZmzLzQYg9e+l3AqU6iQ1CiA1ElEu/\ni3DxBhPRQIJLWiD1axAzr2DmwUQ02BwX1p2Ihvm7T+ZjBhFRAjPPS+r+uNMvidf4xaAIITIT0e9E\n9Akz3xe29eefeb/MKx7lzHGnfwghouz045n1SwjRkIiuM/MhIURNJ4cG1EPBGdIu+7Zf5mOkbQ4+\n/PadlrbZNcFomwMBN58PzzJELslw08bP9UMXJUmAtZ31d3+SEjv2MmC+uwErYjCz3cGwEKIUERUi\nosPmeNz8RHTAHGN5mYgidIfnN+9L8n7ZYS4h/nqYuQ8FkqpfrvokhGhPcAOqrdudpH0y0i8HJHm/\nDJw/Se8hL7kuhMjFzNcFEhTeeNYdEEKkIRjv2cy8LFD6pcLMsUKILURU38/9eoWIGgsh3iCiDEQU\nIoSYTUTXAuVauYu0y77tl7TNbp1b2mUXSNtsmKCzzYGAm8+H/UKISsycrK+xhzY+mAh02+xzHNjZ\nYMaevZzFzG393K/kF07CzEeZOTczF2HmwgTXpXJmQ7iciFoJIdIKIQoT0fNEtOdZ9U0I8bzuz6ZE\ndML8+3Iiescf/RJC1Ce4ADU2J9hS8Vuf7KBX9fzdr71E9LwQoqAQIi0RvWPuk78QZHt92pt/b0dE\n/jCgM4joODN/q9vn134JIcKEOZO8ECIDYcXnH3/2i5kHMnMEMxch3Eebmfl9Ilrhrz4lFdIue9Qv\naZuNI+2yMaRtNkBKss2BgIvnQ9DixMYHE4Fmm58F9uxs0OLAXvpdwCAKYE8MN2AyDyaY+bgQYiEh\ne2oCEXVl5mfpDjhKCFGckDjuAhF1DoB+fUdEaYloAwRw2sXMXf19rYQQTc19CyOilUKIQ8zcwN/9\nYmaTEOJjQlbpVEQ0nZn/eVbn1yOEmEtENYkohzmefygRjSKiRUKIDoR77O1n3KdXiKgNER0xxzgz\nwU10NBEt9Fe/iCgPEf0qkCk7FREtYObVQohdfu6XPUZR4PXJ10i77Bppmw0i7bKhfknb7D0pwTYH\nAk+fD0GOXRvv3y75lkCyzc8CR3aWmdf6t2cpE/Fsx2wSiUQikUgkEolEIpFIJJ6R7MJJJBKJRCKR\nSCQSiUQikaRMpIghkUgkEolEIpFIJBKJJFkgRQyJRCKRSCQSiUQikUgkyQIpYkgkEolEIpFIJBKJ\nRCJJFkgRQyKRSCQSiUQikUgkEkmyQIoYEolEIpFIJBKJRCKRSJIFUsSQBBxCiIJCiCNW+4YKIXr5\nq0++QgjxpxCivNW+VEKIfUKIV3X71gkhWjz7HkokEokt0i5LuyyRSAIPaZulbU6pSBFDEqhwUjYu\nhEidlO27AzMrRNSViCYLIVILId4lIhMzL/Zz1yQSiUSPtMvSLkskksBD2mZpm1McUsSQJDvMyuwo\nIcRuIcQJIcQr5v0rhRClzL8fEEIMNv8+XAjxoRCihhBimxBiGREdM//vDyHEXiHEESFER9054oQQ\n44UQR4UQG4QQOXTnniiEOCiEiBZCVDTvzyiEmC6E2CWE2C+EaGzen14IMU8IcUwIsYSI0tt7T8y8\nh4h2EtFwIhpJRN2S5upJJBKJ75F2WSKRSAIPaZslwYoUMSTJldTMXJmIPiWiYeZ924momhAiCxEl\nEtEr5v3ViGib+fdyRNSdmV8w//0BM1ckoopE9IkQIrt5fyYi2sPMpcyvHao7dwZmLkcwmjPM+wYR\n0SZmrkJEtYnoGyFEBiLqQkQPmDnK3MZLTt7TQCLqSURzmfmc8UshkUgkAYG0yxKJRBJ4SNssCTqk\niCEJRBy5xen3LzH/3E9EBc2/byeiGgRDvIqIMpuNYiFmPmU+Zg8zX9S101MIcYiIdhFRfiIqZt6v\nENFC8+9ziOhV3WvmEREx83YiCjE/AF4nov5CiINEtIWI0hJRBBFVN7+emPkIER128r5rENFdIirl\n5BiJRCLxB9IuSyQSSeAhbbMkRZLG3x2QSOxwi4hCrfaFEtFZ3d9PzD9NpN3Hewmq7Rki2kBEOYio\nE8FoqzxQfxFC1CAowJWZ+YkQ4k9y4LpGlg8D6wcGE5EgohY6w6+ew7odmx3m4zIS0Whzf2YKIRow\n8xoHfZFIJJJnjbTL0i5LJJLAQ9pmaZtTJNITQxJwMPMDIroihKhFRCSECCWiekT0l4OXCPPrEojo\nEhG9RUR/m4/vQ5pbnDVZieiO2Ri/QERVdP9LRUQtzb+3sTp3K3O/XiWie8wcR0TriKjH0w4J8aL5\n123m15M59rCMg74MJaIFzPwvweVughAirYNjJRKJ5Jki7bK0yxKJJPCQtlna5pSKFDEkgUpbIhpi\ndjXbSETDdDFv9lRdle1EdIOZn5h/z2f+aY+1RPScEOIYEX1FMOIqD4iokkDZqppENEL3v8dCiANE\n9AMRdTDv+8LcVrT5NerxUwguescIcYj7rDshhIgkoiZE9CURETMfMvetn4N+SyQSiT+QdlnaZYlE\nEnhIZzOb1gAAAM1JREFU2yxtc4pDMCdpVR6JJFkihIhj5hA7+/8kot7MfMAP3ZJIJJIUi7TLEolE\nEnhI2yzxB9ITQyKxj5FESRKJRCJ5dki7LJFIJIGHtM2SZ470xJBIJBKJRCKRSCQSiUSSLJCeGBKJ\nRCKRSCQSiUQikUiSBVLEkEgkEolEIpFIJBKJRJIskCKGRCKRSCQSiUQikUgkkmSBFDEkEolEIpFI\nJBKJRCKRJAukiCGRSCQSiUQikUgkEokkWSBFDIlEIpFIJBKJRCKRSCTJgv8DhbFH8Ar6zbgAAAAA\nSUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0xba8c898>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# Plot triangles\n", | |
| "f, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", | |
| "ax1.plot(xc,yc,'o',markersize=3)\n", | |
| "ax2.triplot(xc,yc,triangleVertexIndexList,'-b')\n", | |
| "ax3.triplot(xc,yc,triangleVertexIndexList,'-b')\n", | |
| "ax3.set_xlim((-5,5))\n", | |
| "ax3.set_ylim((-5,5))\n", | |
| "ax1.set_title('\\nUnwrapped points\\n',fontsize=18)\n", | |
| "ax2.set_title('\\nTriangulated surface\\nwith boundary\\n',fontsize=18)\n", | |
| "ax3.set_title('\\nZoom of triangulated\\nsurface\\n',fontsize=18)\n", | |
| "f.set_size_inches((15,6))\n", | |
| "\n", | |
| "for ax in [ax1,ax2,ax3]:\n", | |
| " ax.set_xlabel('Unwrapped X')\n", | |
| " ax.set_ylabel('Unwrapped Y')\n", | |
| "\n", | |
| "# Plot segments to show boundary\n", | |
| "for i in range(len(segments)):\n", | |
| " s = segments[i]\n", | |
| " ax2.plot(xc[s],yc[s],'-r',linewidth=3)\n", | |
| "\n", | |
| "f.tight_layout()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Create vtk polydata object\n", | |
| "pcoords = vtk.vtkFloatArray()\n", | |
| "pcoords.SetNumberOfComponents(3)\n", | |
| "for p in points:\n", | |
| " x,y,z=[float(i) for i in p]\n", | |
| " pcoords.InsertNextTuple((x,y,z))\n", | |
| "pnts = vtk.vtkPoints()\n", | |
| "pnts.SetData(pcoords)\n", | |
| "\n", | |
| "triangles = vtk.vtkCellArray()\n", | |
| "for t in triangleVertexIndexList:\n", | |
| " triangle = vtk.vtkTriangle()\n", | |
| " for i in range(len(t)):\n", | |
| " triangle.GetPointIds().SetId(i,t[i])\n", | |
| " triangles.InsertNextCell(triangle)\n", | |
| "\n", | |
| "trimesh = vtk.vtkPolyData()\n", | |
| "trimesh.SetPoints(pnts)\n", | |
| "trimesh.SetPolys(triangles)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### 3. Define function to write VTK file with triangulated surface and linear wear depth results" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "\n", | |
| "def writeVTKfile(fileName,surfaceType,points,X,trimesh,wearDepthVals=None,pointStatusVals=None):\n", | |
| " \"\"\"\n", | |
| " writeVTKfile(fileName,surfaceType,points,X,trimesh,wearDepthVals=None,pointStatusVals=None)\n", | |
| " \n", | |
| " Generate a triangulated surface from surface points and writes a VTK file\n", | |
| " containing this surface, together with point scalars representing the \n", | |
| " linear wear depth (direction and magnitude) and a boolean indicating point \n", | |
| " status (i.e. whether that point contributed to the fit)\n", | |
| " \n", | |
| " Inputs:\n", | |
| " filename = File name of vtk file\n", | |
| " surfaceType = Surace type i.e. 'HEAD' or 'CUP' \n", | |
| " points = Array of coordinates for points on the surface\n", | |
| " X = ...\n", | |
| " trimesh = ...\n", | |
| " wearDepthVals = Array of linear wear depth values for each point \n", | |
| " pointStatusVals = Array of status for each point\n", | |
| " \n", | |
| " Returns:\n", | |
| " None\n", | |
| " \n", | |
| " \"\"\"\n", | |
| " if surfaceType==\"HEAD\": wearDir = -1.0\n", | |
| " else: wearDir = 1.0\n", | |
| " \n", | |
| " triangles = vtk.vtkPolyData()\n", | |
| " triangles.DeepCopy(trimesh) \n", | |
| " \n", | |
| " # Add scalar data for wear depth\n", | |
| " if wearDepthVals!=None:\n", | |
| " \n", | |
| " # Wear depth scalar\n", | |
| " weardepth = vtk.vtkFloatArray()\n", | |
| " weardepth.SetName(\"Wear depth (micron)\")\n", | |
| " weardepth.SetNumberOfComponents(1)\n", | |
| " weardepth.SetNumberOfValues(triangles.GetNumberOfPoints())\n", | |
| " for i in range(triangles.GetNumberOfPoints()):\n", | |
| " weardepth.SetValue(i,wearDir*wearDepthVals[i]*1000.)\n", | |
| " triangles.GetPointData().AddArray(weardepth)\n", | |
| " \n", | |
| " # Wear depth magnitude\n", | |
| " wdmag = vtk.vtkFloatArray()\n", | |
| " wdmag.SetName(\"Wear depth magnitude (micron)\")\n", | |
| " wdmag.SetNumberOfComponents(1)\n", | |
| " wdmag.SetNumberOfValues(triangles.GetNumberOfPoints())\n", | |
| " for i in range(triangles.GetNumberOfPoints()): \n", | |
| " wdmag.SetValue(i,abs(wearDepthVals[i])*1000.)\n", | |
| " triangles.GetPointData().AddArray(wdmag)\n", | |
| " \n", | |
| " # Wear depth vector\n", | |
| " wdv = vtk.vtkFloatArray()\n", | |
| " wdv.SetName(\"Wear depth vector (mm)\")\n", | |
| " wdv.SetNumberOfComponents(3)\n", | |
| " wdv.SetNumberOfTuples(triangles.GetNumberOfPoints())\n", | |
| " for i in range(triangles.GetNumberOfPoints()): \n", | |
| " p = triangles.GetPoint(i)\n", | |
| " ip = idealiseMesh(p,X)\n", | |
| " wdv1,wdv2,wdv3 = (ip-p) * wearDir\n", | |
| " wdv.SetTuple3(i,wdv1,wdv2,wdv3)\n", | |
| " triangles.GetPointData().AddArray(wdv)\n", | |
| " \n", | |
| " # Add scalar data for point status\n", | |
| " if pointStatusVals!=None:\n", | |
| " pointstatus = vtk.vtkFloatArray()\n", | |
| " pointstatus.SetName(\"Point status\")\n", | |
| " pointstatus.SetNumberOfComponents(1)\n", | |
| " pointstatus.SetNumberOfValues(triangles.GetNumberOfPoints())\n", | |
| " for i in range(triangles.GetNumberOfPoints()): \n", | |
| " pointstatus.SetValue(i,pointStatusVals[i])\n", | |
| " triangles.GetPointData().AddArray(pointstatus) \n", | |
| " \n", | |
| " # Outputs a file of tris (surface mesh)\n", | |
| " writer = vtk.vtkPolyDataWriter()\n", | |
| " writer.SetFileName(fileName)\n", | |
| " writer.SetInputData(triangles)\n", | |
| " writer.Write()\n", | |
| " \n", | |
| "# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n", | |
| " \n", | |
| "def idealiseMesh(p,X):\n", | |
| " \"\"\"\n", | |
| " ip = idealiseMesh(p,X) \n", | |
| " Transforms worn mesh to unworn, or ideal, mesh\n", | |
| " Inputs:\n", | |
| " p = worn point coordinates \n", | |
| " c = spherical centre coordinates (numpy array)\n", | |
| " r = spherical radius\n", | |
| " Outputs:\n", | |
| " ip = Corresponding unworn coordinates (numpy array)\n", | |
| " \n", | |
| " \"\"\"\n", | |
| " c = X[:3]; r = X[-1]\n", | |
| " p = numpy.array(p)\n", | |
| " v = (p-c)\n", | |
| " n = v / numpy.linalg.norm(v)\n", | |
| " ip = c + n*r\n", | |
| " return ip\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### 3. Perform fit, calculate the linear wear depth (least squares error), and create VTK files" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Variables *lowerPercentile* and *upperPercentile* are used to identify regions of wear and outliers (i.e. due to material gain). Ideally, there should be minimium material gain. Therefore, should only need to remove points due to wear. However, this is different for head and cups. That is:\n", | |
| "\n", | |
| " - For cups, wear corresponds to a negative least squares error. Therefore, lowerPercentile will remove worn points\n", | |
| " \n", | |
| " - For heads, wear corresponds to a positive least squares error. Therefore, upperPercentile will remove worn points\n", | |
| " \n", | |
| "There will always be some material gain, so the percentile value corresponding to material gain should always be set to remove a small number of points" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Setup fit inputs\n", | |
| "CMMacc = 0.003 # Accuracy of point measurement (mm)\n", | |
| "maxIter = 100 # Maximum number of iterations\n", | |
| "surfaceType = settings['surfaceType']\n", | |
| "lowerPercentile = settings['lowerPercentile']\n", | |
| "upperPercentile = settings['upperPercentile']\n", | |
| "if settings['surfaceType'] is None: surfaceType == 'HEAD'\n", | |
| "if settings['lowerPercentile'] is None: lowerPercentile = 1.0\n", | |
| "if settings['upperPercentile'] is None: upperPercentile = 99.0\n", | |
| "outputDirectory = file1Name.split('\\\\')[0]\n", | |
| "vtkFileName = '.'.join([file1Name.split('\\\\')[-1].split('.')[0],'vtk']) # Name of VTK file " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "\n", | |
| "RESULTS\n", | |
| "\n", | |
| " Iteration Centre Radius LS error Active points\n", | |
| "--------------------------------------------------------------------------------------------------------\n", | |
| " 1 ( 0.0000, 0.0000,-0.0000) 23.250629 0.03975617 1850\n", | |
| " 2 ( 0.0015,-0.0007, 0.0012) 23.250666 0.03397944 1810\n", | |
| " 3 ( 0.0028,-0.0015, 0.0023) 23.250733 0.03045551 1770\n", | |
| " 4 ( 0.0039,-0.0021, 0.0032) 23.250835 0.02796016 1730\n", | |
| " 5 ( 0.0050,-0.0026, 0.0043) 23.250845 0.02491292 1690\n", | |
| " 6 ( 0.0060,-0.0032, 0.0052) 23.250946 0.02276854 1650\n", | |
| " 7 ( 0.0069,-0.0035, 0.0061) 23.250969 0.02061594 1610\n", | |
| " 8 ( 0.0076,-0.0040, 0.0069) 23.251057 0.01821050 1570\n", | |
| " 9 ( 0.0084,-0.0043, 0.0077) 23.251112 0.01695388 1530\n", | |
| " 10 ( 0.0091,-0.0046, 0.0085) 23.251141 0.01460739 1490\n", | |
| " 11 ( 0.0096,-0.0048, 0.0092) 23.251157 0.01333381 1450\n", | |
| " 12 ( 0.0101,-0.0051, 0.0099) 23.251194 0.01171459 1410\n", | |
| " 13 ( 0.0106,-0.0053, 0.0106) 23.251176 0.01045536 1370\n", | |
| " 14 ( 0.0111,-0.0055, 0.0112) 23.251208 0.00932963 1330\n", | |
| " 15 ( 0.0115,-0.0057, 0.0120) 23.251121 0.00854640 1290\n", | |
| " 16 ( 0.0119,-0.0058, 0.0126) 23.251096 0.00755236 1250\n", | |
| " 17 ( 0.0122,-0.0059, 0.0135) 23.250962 0.00734028 1210\n", | |
| " 18 ( 0.0125,-0.0061, 0.0143) 23.250858 0.00670824 1170\n", | |
| " 19 ( 0.0129,-0.0062, 0.0150) 23.250774 0.00612191 1130\n", | |
| " 20 ( 0.0132,-0.0064, 0.0156) 23.250748 0.00495569 1090\n", | |
| " 21 ( 0.0134,-0.0064, 0.0162) 23.250685 0.00402345 1050\n", | |
| " 22 ( 0.0136,-0.0065, 0.0167) 23.250640 0.00301737 1010\n", | |
| " 23 ( 0.0138,-0.0066, 0.0171) 23.250625 0.00256912 970\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Perform fit\n", | |
| "wlserr_max = 1.0\n", | |
| "numIter = 0\n", | |
| "W = numpy.ones(len(points),dtype=int) \n", | |
| "lserrIter = []\n", | |
| "WIter = []\n", | |
| "\n", | |
| "# Write header for results output\n", | |
| "s = \"\\nRESULTS\\n\"\n", | |
| "s += \"\\n%10s %30s %15s %15s %20s\" % ('Iteration','Centre','Radius','LS error','Active points')\n", | |
| "print \"%s\\n%s\" % (s,\"-\"*len(s))\n", | |
| "while (wlserr_max > CMMacc and numIter < maxIter):\n", | |
| "\n", | |
| " numIter += 1\n", | |
| "\n", | |
| " # Perform least square fit\n", | |
| " X,lserr,wlserr = leastSquaresSphere(points,W)\n", | |
| " wlserr_max = numpy.max(numpy.abs(wlserr))\n", | |
| " \n", | |
| " # Exclude worn points and outliers by setting weighting to 0\n", | |
| " percentLow = numpy.percentile(wlserr,lowerPercentile)\n", | |
| " percentUpp = numpy.percentile(wlserr,upperPercentile)\n", | |
| " indxLow = numpy.where(wlserr < percentLow)\n", | |
| " indxUpp = numpy.where(wlserr > percentUpp)\n", | |
| " W[indxLow] = 0\n", | |
| " W[indxUpp] = 0\n", | |
| " \n", | |
| " # Get number of active points\n", | |
| " indx = numpy.where(W==1)\n", | |
| " numActivePnts = W[indx].sum()\n", | |
| " \n", | |
| " # Print current results\n", | |
| " x0,y0,z0,r = X\n", | |
| " c = \"(%7.4f,%7.4f,%7.4f)\" % (x0,y0,z0)\n", | |
| " print \"%10d %30s %15.6f %15.8f %20d\" % (numIter,c,r,wlserr_max,numActivePnts)\n", | |
| " \n", | |
| " # Write VTK file\n", | |
| " fn = vtkFileName.split('.')\n", | |
| " fn.insert(1,\"-%d.\"%numIter)\n", | |
| " fn = ''.join(fn)\n", | |
| " fn = os.path.join(outputDirectory,fn)\n", | |
| " writeVTKfile(fn,surfaceType,points,X,trimesh,lserr,W)\n", | |
| " \n", | |
| " # Store lserr and weightings at each iteration\n", | |
| " lserrIter.append(lserr.copy())\n", | |
| " WIter.append(W.copy())\n", | |
| "\n", | |
| "lserrIter = array(lserrIter)*1000.\n", | |
| "WIter = array(WIter)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd4AAAFdCAYAAACtugy1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nMcYYUyBWvMYYY0yBWPEaY4wxBfL/2SzOVcWbPJ8AAAAASUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0xc44dc88>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "# Examine wear over all iterations\n", | |
| "def plotError(Iteration=1):\n", | |
| " \n", | |
| " Iteration -= 1\n", | |
| " f, (ax1) = plt.subplots(1, 1)\n", | |
| " f.set_size_inches((7.5,5))\n", | |
| " \n", | |
| " indx = argsort(lserrIter[Iteration,:])\n", | |
| " err = lserrIter[Iteration,indx]\n", | |
| " l1, = ax1.plot(err,'-b',linewidth=5,label='Inactive points')\n", | |
| " numPoints = err.shape[0]\n", | |
| " lb = zeros(numPoints)\n", | |
| " ub = zeros(numPoints)\n", | |
| " ub[:] = CMMacc*1000\n", | |
| " lb[:] = -CMMacc*1000\n", | |
| " ax1.set_xlim((0,numPoints))\n", | |
| " ax1.set_xlabel('Point index (sorted by error value)\\n',fontsize=16)\n", | |
| " ax1.set_ylabel('Least squares error',fontsize=16)\n", | |
| " ax1.fill_between(range(numPoints),lb,ub, facecolor='gray', alpha=0.2)\n", | |
| " \n", | |
| " Wsorted = WIter[Iteration,indx]\n", | |
| " indx2 = where(Wsorted==1)[0]\n", | |
| " active = err[indx2]\n", | |
| " l2, = ax1.plot(indx2,active,'-r',linewidth=5,label='Active points (%d / %d)'%(active.shape[0],numPoints))\n", | |
| " \n", | |
| " plt.legend(handles=[l2,l1],loc=4)\n", | |
| "\n", | |
| "w = interact(plotError, Iteration=(1,numIter,1));" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### 4. Calculate min/max linear wear depths" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Max material loss = 62.563 microns\n", | |
| "Max material gain = 12.325 microns\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "if surfaceType=='HEAD':\n", | |
| " max_loss, max_gain = array([lserr.max(), lserr.min()])*1000.0\n", | |
| "else:\n", | |
| " max_loss, max_gain = array([lserr.min(), lserr.max()])*1000.0\n", | |
| "\n", | |
| "print \"Max material loss = %7.3f microns\" % (abs(max_loss))\n", | |
| "print \"Max material gain = %7.3f microns\" % (abs(max_gain))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Volumetric Wear" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### 1. Define functions to calculate the volumetric wear" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "def createTetMesh(points,triangleVertexIndexList):\n", | |
| " \"\"\"\n", | |
| " aTetraGrid = createTetMesh(points,triangleVertexIndexList)\n", | |
| " Creates a tetrahedral mesh from the points on the conical surface.\n", | |
| " Uses tetGen via MeshPy to generate tet mesh from surface triangles.\n", | |
| " Inputs:\n", | |
| " points = Array of point coordinates\n", | |
| " triangleVertexIndexList = Array of triangle vertex indices\n", | |
| " Returns:\n", | |
| " aTetraGrid = A vtk unstructured grid\n", | |
| " \n", | |
| " \"\"\"\n", | |
| " # Uses tetGen from MeshPy to generate tet mesh from surface\n", | |
| " from meshpy.tet import MeshInfo, build, Options\n", | |
| " tris = []; pnts=points[:]; mesh_info = MeshInfo()\n", | |
| " \n", | |
| " # Triangulate open face of sphere\n", | |
| " centre = pnts[edgeVerts].mean(0)\n", | |
| " pnts = numpy.vstack((pnts,centre)) \n", | |
| " v3 = pnts.shape[0]-1\n", | |
| " for i in range(segments.shape[0]):\n", | |
| " v1,v2 = segments[i]\n", | |
| " tris.append([v1,v2,v3])\n", | |
| " tris = numpy.array(tris)\n", | |
| " \n", | |
| " pnts = pnts.tolist() \n", | |
| " tris = numpy.vstack((triangleVertexIndexList,tris)).tolist() \n", | |
| " \n", | |
| " mesh_info.set_points(pnts)\n", | |
| " mesh_info.set_facets(tris) \n", | |
| " mesh = build(mesh_info,options=Options(\"pqYM\"))\n", | |
| " \n", | |
| " # Print summary of tet mesh\n", | |
| " print \"Number of points = \", len(mesh.points)\n", | |
| " print \"Number of faces = \", len(mesh.faces)\n", | |
| " print \"Number of elements = \", len(mesh.elements)\n", | |
| " \n", | |
| " # Create polydata representing surface mesh\n", | |
| " spcoords = vtk.vtkFloatArray()\n", | |
| " spcoords.SetNumberOfComponents(3)\n", | |
| " for p in pnts:\n", | |
| " x,y,z = [float(i) for i in p]\n", | |
| " spcoords.InsertNextTuple((x,y,z))\n", | |
| " spnts = vtk.vtkPoints()\n", | |
| " spnts.SetData(spcoords)\n", | |
| " \n", | |
| " triangles = vtk.vtkCellArray()\n", | |
| " for t in tris:\n", | |
| " triangle = vtk.vtkTriangle()\n", | |
| " for i in range(len(t)):\n", | |
| " triangle.GetPointIds().SetId(i,t[i])\n", | |
| " triangles.InsertNextCell(triangle) \n", | |
| " \n", | |
| " polydata = vtk.vtkPolyData()\n", | |
| " polydata.SetPoints(spnts)\n", | |
| " polydata.SetPolys(triangles) \n", | |
| " \n", | |
| " # Create unstructured grid from generated tet mesh\n", | |
| " vpcoords = vtk.vtkFloatArray()\n", | |
| " vpcoords.SetNumberOfComponents(3)\n", | |
| " for p in mesh.points:\n", | |
| " x,y,z = [float(i) for i in p]\n", | |
| " vpcoords.InsertNextTuple((x,y,z))\n", | |
| " gridpnts = vtk.vtkPoints()\n", | |
| " gridpnts.SetData(vpcoords) \n", | |
| " \n", | |
| " aTetraGrid = vtk.vtkUnstructuredGrid()\n", | |
| " aTetraGrid.SetPoints(gridpnts)\n", | |
| " for e in array(mesh.elements):\n", | |
| " aTetra = vtk.vtkTetra()\n", | |
| " for i in range(len(e)):\n", | |
| " aTetra.GetPointIds().SetId(i,e[i])\n", | |
| " aTetraGrid.InsertNextCell(aTetra.GetCellType(), aTetra.GetPointIds())\n", | |
| " \n", | |
| " return polydata, aTetraGrid\n", | |
| "\n", | |
| "# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n", | |
| "\n", | |
| "def writePolyDataToFile(polydata,fileName):\n", | |
| " \"\"\"\n", | |
| " writeUnstructuredGridToFile(usg,fileName)\n", | |
| " Writes vtk unstructured grid to file\n", | |
| " Inputs:\n", | |
| " usg = vtk unstructured grid\n", | |
| " fileName = Filename of generated vtk file \n", | |
| " Returns:\n", | |
| " None\n", | |
| " \n", | |
| " \"\"\"\n", | |
| " writer = vtk.vtkPolyDataWriter()\n", | |
| " writer.SetFileName(fileName)\n", | |
| " writer.SetInputData(polydata)\n", | |
| " writer.Write()\n", | |
| " \n", | |
| "# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n", | |
| "\n", | |
| "def writeUnstructuredGridToFile(usg,fileName):\n", | |
| " \"\"\"\n", | |
| " writeUnstructuredGridToFile(usg,fileName)\n", | |
| " Writes vtk unstructured grid to file\n", | |
| " Inputs:\n", | |
| " usg = vtk unstructured grid\n", | |
| " fileName = Filename of generated vtk file \n", | |
| " Returns:\n", | |
| " None\n", | |
| " \n", | |
| " \"\"\"\n", | |
| " writer = vtk.vtkXMLUnstructuredGridWriter()\n", | |
| " writer.SetFileName(fileName)\n", | |
| " writer.SetInputData(usg)\n", | |
| " writer.SetDataModeToAscii()\n", | |
| " writer.Write() \n", | |
| " \n", | |
| "# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \n", | |
| " \n", | |
| "def getMaterialLossGain(surfaceType,X,lserr,tetmesh):\n", | |
| " \"\"\"\n", | |
| " getMaterialLossGain(surfaceType,X,lserr,tetmesh)\n", | |
| " Calculates the material loss, material gain, and net \n", | |
| " change in volume of the sphere\n", | |
| " Inputs:\n", | |
| " surfaceType = Surface type i.e. \"HEAD\" or \"CUP\"\n", | |
| " X = Surface parameters from least squares fit\n", | |
| " lserr = Least squares error array\n", | |
| " tetmesh = Tetrahedral mesh of sphere\n", | |
| " Returns:\n", | |
| " volc_gain = Material gain (mm3)\n", | |
| " volc_loss = Material loss (mm3)\n", | |
| " volc_net = Net change in volume (mm3)\n", | |
| " \n", | |
| " \"\"\"\n", | |
| " # Create 3 copies of the worn tet mesh\n", | |
| " # 1. mnone = unworn mesh (no material loss/gain)\n", | |
| " # 2. mgain = material gain only\n", | |
| " # 3. mloss = material loss only\n", | |
| " mnone = vtk.vtkUnstructuredGrid()\n", | |
| " mnone.DeepCopy(tetmesh)\n", | |
| " mgain = vtk.vtkUnstructuredGrid()\n", | |
| " mgain.DeepCopy(tetmesh) \n", | |
| " mloss = vtk.vtkUnstructuredGrid()\n", | |
| " mloss.DeepCopy(tetmesh)\n", | |
| " \n", | |
| " # Adjust points on surface to generate the 3 different volumes\n", | |
| " # Use convention for HEAD (as volumes generated by delaunay \n", | |
| " # triangulation correspond to a HEAD, not a CUP)\n", | |
| " numPoints = len(lserr); \n", | |
| " for i in range(numPoints):\n", | |
| " p = tetmesh.GetPoint(i) \n", | |
| " ip = tuple(idealiseMesh(p,X))\n", | |
| " mnone.GetPoints().SetPoint(i,ip)\n", | |
| " if lserr[i] > 0.0: mgain.GetPoints().SetPoint(i,ip) \n", | |
| " elif lserr[i] < 0.0: mloss.GetPoints().SetPoint(i,ip)\n", | |
| " \n", | |
| " # Get volumes of each tet mesh\n", | |
| " vol_mnone = calcVolumeTetMesh(mnone)\n", | |
| " vol_mgain = calcVolumeTetMesh(mgain)\n", | |
| " vol_mloss = calcVolumeTetMesh(mloss)\n", | |
| " \n", | |
| " # Calculate change in volumes\n", | |
| " volc_gain = vol_mgain-vol_mnone\n", | |
| " volc_loss = vol_mnone-vol_mloss\n", | |
| " volc_net = abs(volc_gain)-abs(volc_loss)\n", | |
| " \n", | |
| " # Cup has opposite wear convention to head\n", | |
| " if surfaceType=='CUP':\n", | |
| " volc_gain,volc_loss = volc_loss,volc_gain\n", | |
| " volc_net = volc_gain-volc_loss \n", | |
| " \n", | |
| " return volc_gain,volc_loss,volc_net\n", | |
| "\n", | |
| "# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n", | |
| "\n", | |
| "def calcVolumeTetMesh(usg):\n", | |
| " \"\"\"\n", | |
| " volume = calcVolumeTetMesh(usg)\n", | |
| " Calculates the volume of a tetrahedral mesh\n", | |
| " Inputs:\n", | |
| " usg = vtkUnstructuredGrid containing tetra elements\n", | |
| " Outputs:\n", | |
| " volume = Volume of all elements in mesh\n", | |
| " \"\"\"\n", | |
| " numCells = usg.GetNumberOfCells()\n", | |
| " volume = zeros(numCells,dtype=float)\n", | |
| " for i in range(numCells):\n", | |
| " cell = usg.GetCell(i)\n", | |
| " p1 = usg.GetPoint(cell.GetPointId(0))\n", | |
| " p2 = usg.GetPoint(cell.GetPointId(1))\n", | |
| " p3 = usg.GetPoint(cell.GetPointId(2))\n", | |
| " p4 = usg.GetPoint(cell.GetPointId(3))\n", | |
| " v = vtk.vtkTetra.ComputeVolume(p1,p2,p3,p4)\n", | |
| " volume[i] = v\n", | |
| " \n", | |
| " return volume.sum()\n", | |
| " " | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### 2. Calculate the volumetric wear" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Number of points = 2486\n", | |
| "Number of faces = 3778\n", | |
| "Number of elements = 9365\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Create \"worn\" tet mesh from surface mesh\n", | |
| "trimeshClosed, tetmesh = createTetMesh(points,triangleVertexIndexList)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Write closed trimesh to file for checking\n", | |
| "fileName = vtkFileName.split('.')[0]\n", | |
| "fileName = '%s_%s.vtk' % (fileName,'trimesh')\n", | |
| "fileName = os.path.join(outputDirectory,fileName)\n", | |
| "writePolyDataToFile(trimeshClosed,fileName)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 27, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "# Write \"worn\" tet mesh to file for checking\n", | |
| "fileName = vtkFileName.split('.')[0]\n", | |
| "fileName = '%s_%s.vtu' % (fileName,'tetmesh_worn')\n", | |
| "fileName = os.path.join(outputDirectory,fileName)\n", | |
| "writeUnstructuredGridToFile(tetmesh,fileName)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 28, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Material gain = 1.32906 mm^3\n", | |
| "Material loss = 31.28099 mm^3\n", | |
| "Net change in volume = -29.95193 mm^3 (net loss)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Calculate the volumetric wear\n", | |
| "vol_gain,vol_loss,vol_change = getMaterialLossGain(surfaceType,X,lserr,tetmesh)\n", | |
| "if vol_change <= 0: s = \"(net loss)\" \n", | |
| "else: s = \"(net gain)\"\n", | |
| "print \"Material gain = %8.5f mm^3\" % vol_gain\n", | |
| "print \"Material loss = %8.5f mm^3\" % vol_loss\n", | |
| "print \"Net change in volume = %8.5f mm^3 %s\" % (vol_change,s)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Visualisation" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 29, | |
| "metadata": { | |
| "collapsed": false | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAABPIAAAIjCAYAAACJTDWFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAlyRZ2ZmZmZmZmZmVgH/Hwn4fXa3K5jRAAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<matplotlib.figure.Figure at 0x12906f60>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "def createPlots(Limit=10):\n", | |
| " \n", | |
| " # Limit for plotting wear depth contours\n", | |
| " lim = Limit\n", | |
| "\n", | |
| " # Create figure with 3 subplots\n", | |
| " fig = plt.figure(figsize=(18,8.5))\n", | |
| " plt.subplots_adjust(left=0.02, bottom=0.1, right=0.95, top=0.9, wspace=0.15)\n", | |
| "\n", | |
| " # Adjust values to within limits\n", | |
| " vals = lserr.copy()*1000.\n", | |
| " vals[where(vals <=-lim)] = -(lim-0.1)\n", | |
| " vals[where(vals >= lim)] = (lim-0.1)\n", | |
| "\n", | |
| " # Subplot 1\n", | |
| " ax1 = plt.subplot(1,3,1)\n", | |
| " levs = linspace(-lim,lim,17)\n", | |
| " plt.tricontourf(xc,yc,triangleVertexIndexList,vals,shading='flat',cmap=plt.cm.viridis,levels=levs)\n", | |
| " cb1 = plt.colorbar(orientation='horizontal',pad=0.08,label='microns')\n", | |
| " cb1.set_label(label='Micron ($\\mu m$)',fontsize=16)\n", | |
| " ax1.set_title(\"\\nMaterial loss / gain\\n\",fontsize=18)\n", | |
| " ax1.set_xlabel('Unwrapped X')\n", | |
| " ax1.set_ylabel('Unwrapped Y')\n", | |
| "\n", | |
| " # Subplot 2\n", | |
| " ax2 = plt.subplot(1,3,2)\n", | |
| " levs = linspace(0.0,lim,11)\n", | |
| " plt.tricontourf(xc,yc,triangleVertexIndexList,abs(vals),shading='flat',cmap=plt.cm.viridis,levels=levs)\n", | |
| " cb2 = plt.colorbar(orientation='horizontal',pad=0.08)\n", | |
| " cb2.set_label(label='Micron ($\\mu m$)',fontsize=16)\n", | |
| " ax2.set_title(\"\\nMaterial change magnitude\\n\",fontsize=18)\n", | |
| " ax2.set_xlabel('Unwrapped X')\n", | |
| " ax2.set_ylabel('Unwrapped Y')\n", | |
| "\n", | |
| " # Subplot 3\n", | |
| " ax3 = plt.subplot(1,3,3)\n", | |
| " levs = linspace(-0.025,1.025,3)\n", | |
| " cmap = colors.ListedColormap(['black','white'])\n", | |
| " bounds = [0,0.5,1]\n", | |
| " norm = colors.BoundaryNorm(bounds, cmap.N)\n", | |
| " plt.tricontourf(xc,yc,triangleVertexIndexList,W,cmap=cmap,norm=norm,levels=levs)\n", | |
| " cb3 = plt.colorbar(cmap=cmap, norm=norm, boundaries=bounds, ticks=[0,0.5,1],orientation='horizontal',pad=0.08)\n", | |
| " cb3.set_label(label='White=active, Black=inactive',fontsize=16)\n", | |
| " ax3.set_title(\"\\nActive points\\n\",fontsize=18)\n", | |
| " ax3.set_xlabel('Unwrapped X')\n", | |
| " ax3.set_ylabel('Unwrapped Y')\n", | |
| "\n", | |
| " # Plot segments to show boundary of surface\n", | |
| " for i in range(len(segments)):\n", | |
| " s = segments[i]\n", | |
| " ax1.plot(xc[s],yc[s],'-k');\n", | |
| " ax2.plot(xc[s],yc[s],'-k');\n", | |
| " ax3.plot(xc[s],yc[s],'-k');\n", | |
| " \n", | |
| "interact(createPlots,Limit=(1,100,1));" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": { | |
| "collapsed": true | |
| }, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "anaconda-cloud": {}, | |
| "kernelspec": { | |
| "display_name": "Python [Root]", | |
| "language": "python", | |
| "name": "Python [Root]" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 2 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython2", | |
| "version": "2.7.12" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 0 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment