IPython notebook showing how to read a seismic section from a SEG-Y file using obspy

read_seismic_section_segy_obspy.ipynb

{
 "metadata": {
  "name": "obspy-segy"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Reading a seismic section in SEG-Y format using obspy\n",
      "\n",
      "See http://docs.obspy.org/packages/obspy.segy.html for more information."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\n",
        "For more information, type 'help(pylab)'.\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from obspy.segy.core import readSEGY"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "section = readSEGY('cloudpspin635.segy', unpack_trace_headers=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print section"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "221 Trace(s) in Stream:\n",
        "\n",
        "Seq. No. in line:    1 | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:03.500000Z | 250.0 Hz, 876 samples\n",
        "...\n",
        "(219 other traces)\n",
        "...\n",
        "Seq. No. in line:  221 | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:03.500000Z | 250.0 Hz, 876 samples\n",
        "\n",
        "[Use \"print(Stream.__str__(extended=True))\" to print all Traces]\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print section.stats.binary_file_header.keys()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "['binary_gain_recovered', 'line_number', 'number_of_auxiliary_traces_per_ensemble', 'sample_interval_in_microseconds_of_original_field_recording', 'vibratory_polarity_code', 'taper_type', 'number_of_samples_per_data_trace', 'ensemble_fold', 'reel_number', 'trace_sorting_code', 'sweep_frequency_at_start', 'sample_interval_in_microseconds', 'sweep_frequency_at_end', 'measurement_system', 'seg_y_format_revision_number', 'number_of_data_traces_per_ensemble', 'unassigned_1', 'unassigned_2', 'data_sample_format_code', 'sweep_type_code', 'impulse_signal_polarity', 'sweep_trace_taper_length_in_ms_at_start', 'trace_number_of_sweep_channel', 'number_of_samples_per_data_trace_for_original_field_recording', 'job_identification_number', 'vertical_sum_code', 'amplitude_recovery_method', 'correlated_data_traces', 'sweep_trace_taper_length_in_ms_at_end', 'number_of_3200_byte_ext_file_header_records_following', 'fixed_length_trace_flag', 'endian', 'sweep_length']\n"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for k in section.stats.binary_file_header:\n",
      "    print k, '=', section.stats.binary_file_header[k]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "binary_gain_recovered = 0\n",
        "line_number = 0\n",
        "number_of_auxiliary_traces_per_ensemble = 0\n",
        "sample_interval_in_microseconds_of_original_field_recording = 0\n",
        "vibratory_polarity_code = 0\n",
        "taper_type = 0\n",
        "number_of_samples_per_data_trace = 876\n",
        "ensemble_fold = 0\n",
        "reel_number = 0\n",
        "trace_sorting_code = 4\n",
        "sweep_frequency_at_start = 0\n",
        "sample_interval_in_microseconds = 4000\n",
        "sweep_frequency_at_end = 0\n",
        "measurement_system = 2\n",
        "seg_y_format_revision_number = 256\n",
        "number_of_data_traces_per_ensemble = 0\n",
        "unassigned_1 = \u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\n",
        "unassigned_2 = \u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\n",
        "data_sample_format_code = 5\n",
        "sweep_type_code = 0\n",
        "impulse_signal_polarity = 0\n",
        "sweep_trace_taper_length_in_ms_at_start = 0\n",
        "trace_number_of_sweep_channel = 0\n",
        "number_of_samples_per_data_trace_for_original_field_recording = 0\n",
        "job_identification_number = 1\n",
        "vertical_sum_code = 0\n",
        "amplitude_recovery_method = 0\n",
        "correlated_data_traces = 0\n",
        "sweep_trace_taper_length_in_ms_at_end = 0\n",
        "number_of_3200_byte_ext_file_header_records_following = 0\n",
        "fixed_length_trace_flag = 1\n",
        "endian = >\n",
        "sweep_length = 0\n"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Get the data in a matrix and plot it with imshow."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nsamples = len(section.traces[0].data)\n",
      "ntraces = len(section.traces)\n",
      "data = zeros((nsamples, ntraces))\n",
      "for i, tr in enumerate(section.traces):\n",
      "    data[:,i] = tr.data\n",
      "imshow(data, aspect=0.2, cmap=cm.gray, origin='upper', vmin=-25, vmax=25)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<matplotlib.image.AxesImage at 0x45e5e50>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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HNptFt9uF3W4HAOzt7UGhUECn0yGbzcLhcKBSqfBEWFlZQa1Ww/T0NEKhEMrlMvL5PFwu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wdbHrumUqmkaDQqv99v2GYymbSKmyzuFJMTwLu6ukwKNTo6anpPBgC0adh29fX1WWUnvWoygP8d\nFUu5XLZA73QzofXis6dNpuWkhaXqJgijd2UwxOSSAy5JN27c0PHx8Qn+Gq0cFw+wHA6ek9dF64m8\nkI6DSt0pnHeK4/n5BDGpsZvDua8CeIjqEv4e/017yvunOiM5sjMYfh8UD1rOpaUlI9Fns9kTgVnS\nCb0tXzwTnjfX/3bc9fbgw/fj9zkD/D0SB0FOetWEgOEYv08Ly9Sf7+GcYNPatre3q7+/XwMDAzbU\nwyAWVgFB+fj42Ky8KpWK/uiP/ujOCnpMpZ555hnNz8+rUqno/PnzRoFBzuXcF4rwuVgsanFxUaFQ\nSOfOnbMJLSB7LpfTysqKlpeXlclkbArG5A+rbnScKDUYe9OiDA8Pm+lmPp83pj/urjw6ghPTJrSt\nTNZQBDDFpJ3q7e3V8PCwkTQxNwCPu//++236iEaZAOz0nSNLcyAY7mB9RECDjLyxsWE7RFdXV1Wp\nVEzWBl+KdhoHaeeX82LwefLrt+O3/Fnn//N3CIbOTA6GDOdycHBQ4XDYBiYccklGQXJuu4vFYua6\nAvjvvOi42yDrW1lZMQySChKrdnBEdMVO4rkkI/HSAre2tioUCllQ5LMEE+NsEOhZZlWr1cxEgSCL\nnNLtdpv2mWkvPLeWlhZFIhHDuT0ej3UudE1UgwRW5x28nXlxewB0/lm+gESo6m4PHwzGGIBwtpCU\nXbt2TX6/X+l0Wtls1jqu1tZWC+7wDLkre3t7RhviWdbrdXPSJoGha8ZA5F//9V/vrKD3+c9/Xleu\nXNGlS5dUr9eVTCbNCaRUKtlEE9cUl8ulc+fO6YEHHrDl3JL0yiuvaGlpSZ2dnXrkkUf0lre8xXbN\nplIpa+sgZ3q9XiWTSb344osmI2MnAZcQ+gV4R19fn/nwIX7e29tTOBw21UF7e7v8fr8pJGhJyYDr\n6+tKp9NWQTrL9GKxaNUXQaazs1ODg4OmwKBNpsqkhWKAwMSM6os2li+qW4/Ho2g0quHhYbOtB0d1\n8u0k2WFkYoeeGewKwTlb08ALCURQdpBAcalXVlZsrWNLS4sRp3d3d7W2tmYTxY2NDfX09Jxw0oGX\nCacTvJnP5+bNm6a/ZLDh/PJ4PIrFYhZgwcygI+3u7iqXy1krXK02LMNYP8nmOy4yGmKCO+eDZ03w\nYtiEeWtvb6/8fr8FeCcGyH4WhmnpdNoGAAQCKibwtXK5bMuQgAygNSEbo1pltQCUn3A4rNHRUTNK\ngBRMCwmhHx0yQQ24gZ/POoWBgQGzbGP9Kbj44OCgxsbGbNsbFWAymbSNcZwLziwQjHPQ5mQtQD0D\ngwam+q3f+q07K+h94hOf0OzsrKrVqsbHx+0SDw0N6a677lJ7e7uuXbumq1ev6saNG7p69aox1L1e\nrwYHB/WGN7xBly9fVmtrq9bW1nTt2jUtLi4alnP27FkjH0P0BEiGPLu/v6/5+XmTMEHLQOqVTqdN\n8Ay+xIGGBAt5tKury0i0ZG8yEURRAhiOGIuLi6YjZax/dHRkW7qoKjlktFIoDZx8tUKhoHvuuccO\nQ0tLi/G7UE5gc4+3HtNE5H7t7e22UJ2pdiqVMg3s5uamtR2SND4+bu4wkH4ZqoAhQl+RpN3dXSUS\nCUsSDLMAy7nMhULBggrVElgkWBHu18AZVNJbW1tqampSNBpVNBpVb2/viSXRhULBiMy0nwxR2tvb\nLRAxCAMox9odFx7UJk5cDX4lmJ7T3ry1tdWs7+GxbW1tWXCi9acShArl9XptuopqplQqqbm52TBq\neGl7e3s23eUzZsDBNFWSVZ5Um5wDto/x+YPjjY6OWlFAxY0rClPtarVqQRoc9eiosT0OHuDc3Jzp\ntKlKa7WamV2wWmBlZcWm1ZKs2kcZRKu9vb2tbDZrFCZw5EAgoOnp6Tsr6N1///265557dPHiRV24\ncEE+n0/Ly8tKJpPG1xoYGNDrXvc6TUxMKJPJ6Omnn9Zzzz2n+fl57ezsyOv1yuv1Kh6P69SpUxod\nHVVbW2OXbTKZ1PT0tH784x/bSsW+vj6Nj49rcnLSdnRAP0DxAB5Ur9cNK6HVwVQS0H1packkMrTA\nODR7PB7j3e3s7JiGFMcW8LhyuWxrKrnk1WrVNqyxLYyqrbu7+6f2LdC+kRGRD1HBQMQmiAJyNzc3\n28/c2NiwiglQmgEG3wtbeulVZ1sm0OhrgQNICkNDQ1Z5YDfEgIj2E5UE/4B3QZ5lWkpgQA7Gvlt4\nlzi4ANRXq1WjJjHsyWQyZpxJlY9ixin6lxrY5dramsEKcCzR/6KSgPLDtFiSCe4B8cELa7WaYrGY\n4XZtbW2mNGEwwFAFMb/UCFKDg4M2Ba3Vaqb6IBh1d3efMP4Ee8PvD90r01+UDbT5qBs6OjpOVONg\nsMBQEJaBJWifISI7XXZotZnCc44JVAwsW1tbjQ5E10XwrtVqNpDkWUL/YY91IBCwcw9M84//+I93\nVtB7//vfb4uIs9msxsbG9Iu/+IuanJyU1+vV888/r/n5ee3tNba3X7p0yTagbW9vq1AoaGpqSktL\nSzZU6Orqssw3ODioBx54QOfPn1e9XjfB9IsvvqjkTxYSUzF0d3erv79fY2NjZp5ZLpc1OTlptlEM\nQGCwQ1Ng18POzo4KhYKtXiQIoQmlJUZBQOtM4MW1oqenx6RQ/MOgARffg4MDOwxDQ0OmpnC24uia\n3W63xsfHDXDHnBVwn9eNZTmSoqWlJcNTJdlipv7+foXDYZuGc1HYQ1uv121KnslkrM2HIgHOycGV\nZAGkVmvsL81mszZ8YoM9E1AqQtpT9NgENtZF0vZ5PB6jOvDz+Fm06h6Px4jNTGYHBgYMeGcANTs7\nq42NDSMWU30TZHHcpiOA1NvT02NyNklaX1+3AAogT0CHtoGjMgMF5zPDWp6gxp1iOMSVpmoEgmGw\nAGcSnTiVLdgdZGAqep/PZ0wF6dVpK0MhBo7OCSqvF/iEbohkT/J0foGJSzLHbYI/kk/gHazA4vG4\nQUokNTia733ve++soPfMM8+YEejW1pYWFhbMzWJgYEAf+chH1N/fr+PjY62vr2tmZkbr6+vWLuHE\nAq6FaPvwsLEukYsLGEzGmZiY0JUrV0x5wc/s7e09IfJ2uVy2D+Po6OjEHo2enh7F43ENDg4qGAwq\nEokoGo0qEomcqDYRv9NGc1kk2QQWnpjH4zGsDCkXOBOvNRqNniCBtrS0KJvNWivLNM7JWvf5fEY0\nRWnBwens7DQFCe0Q1QBVDNUfLT00IMDlbDZr3LnNzU3V63Xz2MOJmWmay+VSKBSyNpCWk4qG1rW9\nvd32Ei8tLZmihu8Btw9nFmeVODg4aNUMlBvaMYYgPp9P4+PjZhJB9STJXLpbWlpO7J3l/TrBdV4P\n/0/Ap0VG91ouN5Zgkyyi0agCgYBNY9GtAgtIDXoJFSTPhsDCZN5pGyXJkqtzQtzU1GRaW4J8U1OT\nJWcgDaaxTrkaVSRVG+cAmSOwSFNT04mdGUAy6JsxPqCbYtjgnOo65ZGbm5sGL0myIU0qlZIke308\na6dJAvelvb1djz/++J0V9J544gmbRiGup7VExA83q7+/3wxHU6mUbty4YS0HG9H8fr8ByRwY/p+H\nDiYEZoQXG+U5Ez/A0qGhIXNmHR8fN10ixqM3b940TAInFDZi0c5gixSPxzUxMaGxsTFzjoELKMna\nJwI4VRG2VD6fT9vb27axjffC4QJfyWazWl9fP8GN49k0NzcrFotZsuCzYBKI3Oz4+FjxeNyIwrQh\nXBaUEadPnzYMc21tzapapmlUZ5Ks0kO6hjMGBqBer9dszjH5BI8LBAK6cOGC+Qs6lS20duh+mRqC\n+WC1jzlpKpWSy+Wyz//g4MCSqZOnRoWKcy+fjdPFhwAiNYY/tP9UO/V63UxcOzo6TCeNixCtGj8D\n3pyzXSaootABhujq6jKPQbS1SNn4+fD+GFA4KUlOpxN4pVRwTPWlVylb0HYoAqg6ocdwbpzWTiRZ\nzgR4NO5DSB4lWUUNpghjAIoSP5figGRHRQnkwSCpUqnoT//0T++soPdP//RPNs0ishP81tfXbaIH\nIF4ul5VIJMyZtbW1VXNzc3r22Wdt4U8oFDohVYMfhZfZ0dGRgd3wzAiSUqOkXl9f182bN811BMAW\nXA6Dz/7+fp06dUr1et1avImJiROLcOr1uq5evWotWTab1cLCglyuhrMEygcCN+1cX1+fTcHC4bB5\nC4IbMr11u181ZGQSidAfXGN1ddX4j1Scs7OzNj0kIGDXBcMfFQZVGd5pTl4edA4uUW9vr2FxcBPB\niDo6OoycWi6XzTaLNo627vj42DbUJZNJLS0tmTyQz5PWNZvNGkDOwAHzTRxtwEXL5cbu4cHBQWtf\nabXALaliAcOdxpdUOs7WEajCOQggSWDVBCVjdXVVe3uNZejJZNJav6amJksYkIeZVPK8gT2am5sN\ngiCwQZXh98DIaGGpvKjQqPCphLE2QyXj9XoN93QaWTD57evrM314oVCw4O9yuczJhUEDcAKJjwqR\n4gL1BUEKrHV9ff3E1jXOmCR7XfBigX+Ab6giK5WKrl+/fmcFvbe+9a3WoiYSCatG4COxbhHHkfPn\nz6tarRpw7PV6dfbsWbMIn52dPWGKKOmE6JkABwWD7AcOkkqlrGXc3d01Jw4mfEyzIAtj0gktgssI\n/kSbgXU2E8SRkRHDSKRGhsxms0qn00azmZmZsfWUVB+40YyMjJiaAS4WOl6yK5UDwZeg6dQiA9LP\nzMxYQCRYUinRilB9Q21xmkE6NaSdnZ2amJiw7N3e3m6vl8oDDp1T8C/J2k4SDe45wWDQWjonSRj7\nc9yHoezMz89reXnZbK2w0uJzAV6gRSRIgZ3xD20l00raL0nWQYyOjtoQhXPmpJIcHByor6/vxICI\ngEUAghqTSCRsghmJRKx6czpRc2aQHlKZQwCnCrqdZ3f7F60pyg2qMeAhZ7FBIC0UCmpvb7cCgHvB\n30ULi/rJKY/k3BCQeF98X4/HY9QshkvxeNzoRHwBV6AmYprO/WBAhkegU6d/Iv78bwW9j370o3bA\nyuWyotGoDQzIMMVi0SReTIV4M1QQTU1NxjdbWVnRyy+/bBynRCKhRCKhvb09a33IdB6PxygliMad\nQvlKpWKuydATMpnMiV25bDrjkgMWU1WShefn501zS/sBzQEyLuab3d3dpoQA58nn85qfn1dLS4tu\n3bpl6y7RY1I1MOygCiyVSlpZWbHVljgCsyAoHo+bGQK/X6lUlEwm9eMf/9hcPNxut9bW1qzFPT4+\nVj6fP7HwB+MHbIuQ4YFtAo7zbypNZIdUFChpkLkxUQVUZ9dIsVg0JQyv3e12WxfAZYtEIhoYGLCA\n7/P5DEflz/De0CszcaUCpgoDyOd1YsFFouHZQ9HBTEKScSnBjwnUyBJRIACTHB8fa3l52VyEwayp\nmFHIACWg6KFNlF5N+lRzmLnGYjF5vV5TGEUiEbuLYMLsMSGZgh2zoKqvr8/wdhgOUEio4CBvk4wl\nGSbKM0E/zeeSz+cN5wNv57MA6kJrTSKBLgSRn3b9Z5mI/q8Fvde97nW2SJsANDIyYlvCqBBwJXa5\nXEqlUpqfnze77c3NTSN4+v1+I9Gurq7qP/7jP3T9+nWdO3fOpr7w0n784x9rb2/PdhEcHByYVRXA\nKIcDoD8YDJqrBxcSmgRtSTqdNuXI7YAvF57DS+YDeOWgMKQhGbS3t1vr63I1VmdGo1FLAiQKqiCC\nLc8FQwAI2tPT08ZRRIZXqVSUSqVsT8nIyIgtiAFXI4CD4Ti/mLiCRTm1x7lczriCPp/PDGBJPE5H\nYQJcOp02bpnThQPoIBAIKBqNamBgwCohjCQLhYJyuZxRXXK5nPL5vLmZgH86WzdwwZaWFvX39yuR\nSBi5lyqRqacTKM9kMtaq8Xx41s5F3EyUwXCZQkuv6lB5Xk5IBnK0291YS5rL5ey18j4I5k5si2ER\ntBRMbTmXwAB+v9+KDCbCqJH4npxHbMDALDEeCAQCJxY2bWxsWCAGrwUnRzFEsuvXrG0AACAASURB\nVHeqZoCJoMRA7+F94U9J9chz4l4TeLPZrJLJpLLZ7J03yPj6178ul6vhKvHSSy/ppZde0vLysqrV\nql1y/R/m3jw28ru+/3+O7fF9zNhzeDyH72vX6z2TbNItCaRAAhIVFHEUqara0v6FoNCGo0gUWhV6\nIX2p2iJawR9U/NFCEaGcSSAHyV7JHl6vb49n7PHM2GN7fK3vsX9/OI/Xfhyg/X2h+rKWVkk2u/bM\nZz6f1/v1el4vyS6O2+1WV1eXent71draqsrKSt28eVPxeNzsZhsbG2pqajLSA2Zsenr6SMw8BVWS\ngb84P/DEbmxsKB6PW84apygPfVlZmfr6+qzQssczm81aoWK0LSkpUSaTUSKR0Pz8vI0VyF4IfJRk\nQmoYNwSydDjkzDm3bqGXqqurMw0YN+/GxoYZ+WF4WThOmkg4HDbsBIgAIJnRtqamxuQydMb8+Vgs\npt7eXvl8Pp08eVKNjY02mtABMCZRlJPJpCYmJizKHLYO4Lyrq8tYTyLe0Wdubm4aTsY1wrJIAg4E\nEvY7Hh4W+IAzUhwQevPznVZFCJaNjQ15vV4LsfR6vYbfAfKDMfFgUvA4LJHGYOoHD6UTkg4nBjof\n8Dw2jiFExmMNnglpxePMoQlcwT3AfwMTcBAAI9XX1xteiQzIiQk6tYMEJ3D96XARaEuyJoAlYIVC\nQaOjo8bGAxtQ2Ciw+Iu5X4uKDvcMI8micXCGIoRCIeXzecOXnRjskfrzqyp6X/jCF+xGrK2t1fnz\n5+V2u3X79m0988wzWltbs6XX8/Pz8nq9dmp7vV499NBDesMb3qDOzk6TS9y+fVs/+tGPbCtXW1ub\nenp6FAgE7GaTZCZuuq6DgwMTS+7t7RnbFg6H7QPjROXBoetEVV5fX294nfMhBGtBS9jR0WFBioQF\nMCYQwolW0ClMXV5e1q1btyxKvKSkRLdv37axBTmB0xvMLgpGqGQyqWQyeeTE55pQCBjV6LhxkkCS\nOCU24XDYgOepqSnbwEZYJdo+sLxAIKCmpibDYrk5wXdSqZTtqkCUTRFZXl622CxJJgFBgycddk3I\nfBoaGtTa2mpdH/jO8PCwUqmUjVl8f6ftiQ4kHA5beCawBN05HcbMzIz5W4FBwK2qqw/XhaZSKevK\niBHz+XwGnxwcHK5SJJevubnZZDJOJQK7YJGSUBSRuoDBgu0x8paVlVlEP7gZkwZMrMfjMcE7XSTW\nQueOCnDr6urqI2k0dK7/NzWAZxHZmfN7/LyyBDnGNMS1AFsEKikqKtK1a9furaL3qU99Sh0dHers\n7NT+/r5GR0ct3qiurk5DQ0NaWloyHRzj2cjIiCUoS1IoFNK5c+d09uxZNTc3q76+Xuvr67p06ZJ+\n+MMfan5+3jx5FRUV6ujoMMsbynIuPC6Ivb09zc7O2sJwdizgiwVnoTBAgEiyjg2QFjErxePg4MAw\nNefya0YRZBnIFFDtc2PCapNSwcGBU8F5ShLLRX5ceXm5jYkQEgh6wWwo6slk8kiqByMNhMDu7q4l\nRfOw0LVwwnJTIvWA8eNng2nxwKETpPvq6elRb2+vbfgCb3K+XozsXHcYPWeMFsuH9vb2bMcDRXx+\nfl6pVEr19fXK5/PK5XJWZAmRRTZD+CvxVw888ICNn3SpyLA4QEjhJkOuuLjY1m8eHByY1W92dtZG\nQVaTgsUyxrH8hvt5Z+cwRh1huFP4DiklyTAzum8mFsTPTpeGUxTNxADZt7e3Z0t/gGMQSNNR4+Zh\nnHW73SYTY1saRW5+fl7pdNq870Ap29vbdk/QbDDqornEtYOlj0Mej3plZaV++7d/+94qeh/60IcM\nwyDGiNGhrKxM0WjU9rMuLy+rubnZEiV8Pp88Ho/Gxsb0j//4j3r55ZdNs9fb26vHHntMDz/8sNrb\n27W1taWxsTHNz8/bReZnoFVLJBKWeYfeysn8VFZWmm+TtI7S0lIjE8Ce4vG4RkdHNTc3ZykrpaWl\nOn78uPr6+ixwdGhoSPF43ADsvr4+6y4oxBTCkpIS26zGtUJIKknd3d3a2NjQ6OioZmZmbEENhdLt\ndqu1tdWwJWcAA3ovyABuZGxtc3NztmAcDAV8ixEJuxJ6t8rKSjU1NZlXGWcFmi2nLYkHwCmLQLRK\np7OwsKBMJmOSD2yKzrRhGNOuri4TAOMH3dnZsW1z7Mig85NkRATvzTnawZDStU9MTOjll19WMplU\nefnhutCVlRXzDJOnx3t1kiXIbJLJpKampsz+x+dJt1ZSUnIkhLa2tlahUEjl5eXq6uoyvSMYG7AH\nDz2FDscFCUCQB3SbwB5Y2whBZYcyInyu19ramsl7YE6ZSvieEE78bMZ7Qnx3d3c1PDxsrD+1ABE/\nFjw6UaRqsNPgxvzdkpISU2SgoYUZRtL2Cxe9QqGgc+fOKRKJ6Nvf/vb/yrLvL3/5y/YGfD6fRZqT\nkMo6SG5s2BlOn7KyMjNCu1wujYyM6Hvf+56ee+45s5b5/X6dPn3aOjhwFNJK0um08vm8hWxyITHo\ng2ewNCafzysQCKizs1ORSOSIchyxZG1trTHFBwcHhqVh92LFIhon/II+n8/CQ0dGRjQ2NmbgN8Z8\nijWWNlJjKZYNDQ3WFXE9YRm5HijZR0ZGNDExYYkhzuKzvr6u6elpLS4umu8V0saZahwIBEwfSHjm\n2NiYYZTk3AHKw75D6KAz4/drampUUXG4Yzifz6urq0vd3d0Kh8NWbHlP1dXVZt6nK8F+hlavqKjI\nwhJyuZwSiYQmJyeNFHAGqTotaUhSnK6JoqIidXR0GNPd0tJiYxYaUzpucFyuHcZ5MFaIEDq4QqFg\n/z+fzyuRSFgsGGMfhxwHE58DpBrSDSLH1tbWbPUkezEIPgXXY1RlNM/lchaRhk+2oqLCWHamCQ4o\nfi6HBQt+nK8llUodIdrQ0OEi4fUzluPuwI/Lz+LgccaEJRIJc4vQwKBP3NnZ0V//9V//4kXv85//\nvF555RWtra3pySef1BNPPPFLL/v+9Kc/bcm3WMW4UUkVxhJEqnJDQ4PhHLu7u4ZDdXd3q6+vT42N\njbp+/bouX76seDxuAtvJyUlTnCPtKC0tVTAYVEdHh9rb2xWNRrW2tqbp6Wlls1mTBnBCE11NxzQ/\nP2+FEDsU+Xter9fGktfetMhLcFlgtZucnNTGxoYCgYBOnTqltrY2G8eSyaTm5+eP5OlB5WPjorNE\n3Lq1tWUgMRhda2urOjo6FIvFLD+P3EFOab/fr66uLitkfEaMMIwcGxsbymazZs3a3t420JocORYO\nOdlPpB1IOkjn4HuBETkte3T33PhgNk5xKgVlenraxqCKigrFYjG5XIdR9rhRYrGYWdBwv5SXl9vI\nDUMMNra/v69kMmmSjFwuZwoCJgjkIXRdvAbAewqiJNsJC6vPuAkehXkelwwHKkw7sAHFmnQf3CJg\nyl6v114HOlWgBro4cLSdnR3r3CDl6LJoBGhSeD2QZXRo4Ml0zmDSQBNoIVEyUAAJuXXqBjmsnbmR\nCLbBqGmGeEanp6fV2NhoC44effTRX6zopVIp/e7v/q7+7M/+TJ///Of17W9/Wz09Pb/0su8Pf/jD\nRpdzARklOM2g5rPZrJLJpOFdeGkpgE693yOPPKK+vj5tb2/r1q1bGh0dNXykqKjIcIeSkhIbnQht\n5MEGP+OmJMySEFPwJ3ynjDOwvzBZCC3Rt/HAUiTIT4Mg4Npsbm5qcHDQBM2RSMSW/ASDQRu9AaiJ\nnwfngakrLi42yQr2MaeC3efzqbW1Vb29vUd2hhACQUdAd83ISCGA1aSDZCMaDyqpLul02uQEt2/f\nNmE3O1t50KPRqKLRqMU8kTGHyp8YKT5rOj2njZAxjuDVO3fuqLKy0ix7Th0dhxA6T6cQuLy83AoM\nU4VzJSJjJV0NDzMsLK9nZ+fuzhUgFUTxpOSUlZXZOMc9zQGG9IZOCvaWpsCJF9IdUXg59Nkpwfei\n06LL5Tpsbm4eSeP570oD1wgcmML5s74Yd1EhSDJHBZ0bhZl6wD0K3AImTWcKDAXLzuvFg1tdXa2P\nfOQjP/M9/I97b//4j/9Yf/u3f6vV1VX7vf+NZd9Q2OwDYOUh2ATq/EAgoHA4rL6+Pt2+fdvGGEbU\npqamIyfs1atX9f3vf1+tra16/PHH9Yd/+IfKZDK2/Hpra0stLS0mjenq6rLThm6nurraOrm1tTWt\nrKyYT7O2tlZtbW06duyYPB6PpWtAqc/Ozhq1T/cD2cGHBYiO3g76nsLldrt16tQpy4lDyJzNZnX7\n9m3TkNXW1hq+FQgErBsCbAcSgJlmpeHU1JS5MV588UUTiLa3t6ulpcVwGo/HY5IWRMzOsYQUlXg8\nbn5aTl28wCzc8Xq9qqur02OPPWb+Y0Yu0l7Y+oWOkmJO4Tlx4oR6enqs4FAYkD44H8jm5madOXPG\nwHkn2UBCB9AFImp8wQQJOPeoQvqgwystLbVABTpD4t35xX2OewT7XVlZmT3owCMsVyf3TpK9b0Zn\noJmDVz3Ne3t7isVidiiVlpYaEeEkAHBK0AE5HTscUHRejNp0UBBfMLn8oisD2qH48U/kMM71o3S0\nEHA4mQqFw5Bd8DwIJFxOvAbwwoODgyO5jWgMFxcXTeNHE/Gzvv7bovdf//VfCgQCOn36tJ599tmf\n+Wdgen7e18/7fyUlJVpZWbEcLxYHu1yHu2A5JemkiPGW7nr4WGVHKkhDQ4MymYyuX7+umZkZffWr\nX9WXvvQltbe368KFC+rv71d7e7v5X/ELTkxMWEfFop1gMGiavYqKCvn9fhMgM66Oj48fSftoaWlR\nR0eH+UpdrsP9q4wVRB0hUuVmQeaBgZ5TGZ0bqnducDANRgH0exw+xKjX1NRoeHjYipbf71d5ebm6\nu7st/ZYDJp1OK5PJaGFhweAATk5cH7FYzDCX7e1t+f1+hcNh03f19fUZU8iuD5T/mN3n5+f19a9/\n3YoL1xYbViQS0etf/3p5vV7ryDnJp6amzBVDJ9DU1GRjELYvZ9jm2tqadTNo2YAo2IqHBbKrq8us\nYJApThkPHS4jO5mDW1uHKwpnZ2etyNJdHxwcHFlVQCFnTHQmlORyOUvYofMhfIEdGXSZdIdMJoD6\nQAHkDwJ7cGgDI9FhBgIBW24O4w32h3bO2X3RdUqy4kdnuLe3Z9vkKEwEOzhzB7e2tsxNgk6WAxs8\nGpsgjD7FjUO9sbHR9LRMY0AWTufMz6xJ/914+4lPfEJf/epXTSKxurqqd7zjHbp69aqe/SWXfb/p\nTW+y4tXe3q5AIGBgJotoeJjdbrdisZjN95xES0tLJkFwu93GElI8GZ/Gx8c1MDCgQqGgCxcu6JFH\nHjEMgptof39fs7OztjsX8SsXGjkII+DOzs4RjyR6IZYLOaUMdHAUy9bWVsOc2PMBOUE8ksfjUeLV\nHaOSjpyoYHqkxYCjgZ2SQcZNQ9Hh4WhsbLTCBMZGB8EDTMQPN9vs7KyJXzc3N83zmkgkjiR/QEyA\nPQIy47Hu7++3fD821u/v71s6jBPb48bHR1tRUaFQKGRSH8D0+vp6Ix1gueloYrGYPbCwx9PT0xZj\ntbGxofHxcWUyGcNb6ZgolsAPfJbOoFECLw8ODhNVgFEgMRj7+TMcUtwTdDt0VkwHfr/fMDAeUbof\nbJKZTMZcRW6320gycC/2TXCQ4l8eHR01nI0u0emrplMEq+SZBZv8WV/Y3yAh+D2gGGcE1v/NFwcV\n0w7kiXR3bzJ+fTzlkkx29EtJVp577jn93d/9nb797W/riSee+KWXfX/4wx9WbW2tNjc3lUwmDfMC\n5GQk4AZy6stcrsP1btFo1PRGfGgwjeBz7MEoLi7W8vKyhoaGdOvWLRsjebgrKir0+OOP67HHHjPG\nkAQWZAbkukGkxGIx81YuLi4qHo8b5Q/5wQnm1EVReFZWVjQ0NKTZ2VljAukouLEpzIh9uekZeyis\nYIGSTHSNDs3v9x+JTmKUcHoiWfrs8XjspiXBZX9/3+QAnMZsUwNT2djYMPM4pnCndgpHCuMhhYki\nDlZIpBRMdGdnp9ra2uyzoEME42G0QWC8vb1tciA6KcgwihrBq2CJ2BQ52KRDhjMYDJo4mevOZ1go\nFMwR4nQscH/A/OMGgrhqa2vTwsLCkaglPK185rhiIGzYJYwbAXscBAOEAIcOrC++bklHCifLkyBm\n0um03WfFxYfLhUj+YdqABOTwwCnBYeuUm/DfBKMiRHeGu4Lhs1GQX7x/GgTSgjwejxVh4JN8Pm8Y\nP/cTr29ra0sf/ehHf/mi9/d///d68skn/1eWfX/wgx80YBkcaWVlxfA3p8KaggCWAWA+OTlpeCCj\nIemrAK2MJM6TntO/o6NDfX199sH+4Ac/0Ne+9jV9//vf18HB4RKa9vZ2nTt3Tr/xG78hv99vezay\n2ayGhoYsQw9sbnZ21iQkpE1QOCh8WLwwdHs8HmWzWetSCd3ETeDU2Pn9fvNWwlRCcEQikSM4UEVF\nhTwej2EviIjLyg4XjadSKc3Pz9u1R9O1urpq+YF8BsALFFyE0kgGKFL4SnO5nD3w6+vrNoojk6AL\npzudnp42qcT09LTS6bS9bkSuxcXFFjxK2i8SF7pKTnenUJuwTEbv9fV1u69cLpcVd7ocBOAkVeNV\nBmtyxlmB55aVHaZSZ7NZc6v09vaqvb1d0t1QUBwXzs6KpB6AexwfHAqSVF5ebpKh5eVlE2cj7+EQ\nkmTwA90O8hTYfPzRaBjBFUk0QeLD2MrE4CwVEI0HBwfmq25tbVVra6vJw7gvkc+w18OpI2VK6e7u\nViwWU11dnVwul6XrOHFCcPn19XVj/jl0mGw4MGpqavT2t7/93hInf/KTn1Qul9PU1JT29/ctPYGH\nCcsPHxaYB2NBRUWF+vr6TAaBnzSVSlmh4NRoamoyxfrly5cN/xkZGdHg4KBcrsNsvfPnz+utb32r\n3vCGN6i6ulo3btzQj370I73wwguanJyUx+Mx2Uc0GjWRNAAxYmIekJWVFRtR6FYXFxeNKQVEZsxD\nTMpeB5wf4BU7OzumXSwqKtL4+LiNfkgSksmkSUKCwaB8Pp/hidXV1err61N3d7d5JH0+nwHNAPwL\nCwu6efOmvQbSVhobGyUdsnRbW1vKZrNWtPg9Xg+xV85lL87gTIgbgG6w0Y2NDevIeED5c1tbW0Y4\nkEe4u7trP6esrEyNjY0WxoDejnsKrIfuCDYVXSVaQq4FTKjz9+jEnRIe5D1MBxSC8vJy85qCaY2N\njZn8BSyyqqpKkUjEdjyXlZWZPY+xMBQKKRKJqKzsMNF5ZmbGSBzIvr29PUUiEUtTIRZsa2tLHo9H\nTU1NVtB/Fhb/y5QCpgEOVIJSwSv53rDl2WzWYAZncwDZNjc3Z/o8oBEOTIgZ52oHdICwtzs7Ozp5\n8uS9VfT+6Z/+yYoSVpxCoWBWHyLNJdkYgt8OHGRtbc0y8YuLi+X3+03CgG6Lpct7e4e7ZNva2iwO\nHJsPKc0LCwsaHh7WjRs3tLW1pc7OTl24cEGnT5+W2+22HQcLCwsaGBjQjRs3lE6nVVNTo87OTvX1\n9en48eMmXF1aWtL4+LhJEzY2NpTJZKxwO61YjOxghohVncwyhRJxbmdnpxnEuRZFRUWanZ21dXrg\nhOS20d1RhHCbuFwuS93ARUJnClEE+8344MyxA0/p6Ogw+QB7V8GbwF+j0agk2SkfiUQsFQbFP/Y9\n5Eirq6sGeeD5hH0ESlhfX7eDiJF0ZWXF1kWiG8zn8yaEhsXltSA2Rv9JhBLBE06lgCRL+aYDmZ+f\nN1cEUixwR8I3nfcpxRStoNvtPmJZg8ghGAA9IF50wlHLyspMKUGnBVnixMSWlpaMIYUs29/fN2kV\nv9DOOnFIJ15ZWVmppaUl22oG+fGzvmBc6Vp/Vj1wwj/S3UXhzmLp/KekI9ghf4/vAdxzTxW9r3zl\nK2bOBk/gIZUOxwG8r+ADSBPomliTCHjJDdLc3Gz7BBjbsEvxUNMKl5aWqr293fRkxEOxoIgTbHl5\nWZFIRJJMkU+Y59LSkoaGhnTp0iUlEgm53W41NjYqGo0qFAoZhsf76erqMuHzzs7hToypqSklXt39\nC0NMF+t2u62l59rMzs4qkUgoHA7bDta+vj4TIodCIQO4wdkWFhYssJTOjMXqdKeVlZU6duyYwQSV\nlXf3+bIUnVQZChA2LDAoJ9vmNPtLh0Lj0dFRSbJujq6RYAikSIzBsNswuow7SJfAddBKOsdO5FUc\nOLCqHKSBQECBQEAbGxuan583bzDdCgQTrCyJxRQNMEsOOUIs6TYKhcNMv6ampiOMNJIgv9+vg4MD\nzc7OHnEhUIgZZ1dWVo4kmEBO8LMpUNjKYGdJ5waHREvoFP7CsiO1oWlgrzMHg8vlMjkPDojXfoHF\nOQ0JfPYUMXBcDntE0M4viquzGIKl8zrBHnlOwSjBZ48fP35vFb3vfOc7RhCMjY3ZKc2NT4EBQMZI\nvbe3ZwZowgFIYmE7FWsd6+rq7Oauq6uzNBNGzo2Nw21j0uFGro6ODkvyGB4e1je/+U1NTk7K6/Xq\ngQcekNfrtQj2dDott9ttynmYXacEAa1eoVDQ5ubh0iECUSElDg4OTLvX09OjEydOKBaL2XgFGcN6\nSZhD1OmLi4vWabAx3mmpA190Fqu2tjYDvRmlksmk6fkQgxcKh3snstmsQQ3crJWVldZ9EwkEAUGn\nhR4MkJnCyvjK5wNTSqF0dht4UTs7O7W4uKhkMml6QAoqDzDvB/y2qKjIHC9ci9LSUvMGE8rg9Xp1\n7NgxhUIhE7BXV1crmUweSdgBZmAEhflGx0nxjsfj1vnhUeVastOCzhRHA0XrV/A4/sJfkGgUOFQO\nTg832J90tPghBKfQ07WBbXJ/oZEkoosC73K51NLSYgePM2OPhV8vv/zyvVX0/vVf/1WRSMRwOJg9\nioDb7bZWnIfDGbwJ++r85dQQkbTAactN73Yf7q5lXSGq98HBQctI6+vr06OPPmodwtDQkJ555hnl\ncjlVVVWptbXVIq0ODg5jqZzR9nhY6ZZQkhOltLe3Z+MXQDSdazwe18jIiOLxuCorK9XS0qKenh61\ntraaAJaUDYBhurFIJGL4VC6XUzwe17Vr10ycyw3jlCVwQ3o8HsViMQtW8Hg8ho0xxk5NTR3xq2IH\nwpa1urpqRQdcC0wWosXr9dqpjDwDJw5aQuxU4GlAAOl02nBT9nHQrdB98CA53RQcSs5fdIqEEqCx\nQ4zsdh8uUWIU3NvbM9aaTEDnYnenrQ72EmGwE/cDqwOkB1uEOXXazPg+Tqabhxx8C4aTAoofGhcG\nKdPgs3TmFFtIg9nZWSMbIGyQONG1ctBSxPf395VIJGx9A3ADHSGebxw0YNFzc3OmVZRkmkgaERoF\nsPCioiLt7OxYcjZaXux+vBdGbP4ca1V/qv78qoreX/7lX8rn8ykSiai5uVkLCwuKx+PGhiIKRheG\nsJfuARIAzAcVdjwe18HBgX1vxMG4IOiK5ufnjZ11sr5Q5Gh/2Gvh9XrNF7qwsKDEq+mshULB9FhE\nz6Mfq6mpsc6OMQl2FHYM4z7hqISSMnLNzs7a0nIcAy6XS42NjWppaZEku+Gku+MFndfx48dVVVVl\n2BMGfDy92WzWHia6MTDSnp4eM/tLUjgctvguOi1nIAMLcnhQpMOTGzaWnbcwexQoxnc+U7yYHFwU\nrVgspo2NDXt9JJFAaLjdbguPpfvDvz05OWlaQzpiSXYY8MX46UxIoTNltwoFx1lkkWaAS/L+Gbco\n3nQujNkEyXJI8FlyUCG+x9TvdFJwwHAtnMGi6A0hCBAmBwIB07HCcC8sLFhEGK8DvzssNc8Zn4V0\nN9fv/9WXs3PkPnEqDF775cQEj/z+r6ro/cVf/MURszTmcehxcDxkCejDeNMo1jl92XjldruPZN6R\nMszNU19fr7KyMiuw+/v7toCmrKxMuVxOo6OjKikpMWM+WXKk1zoFkOiF5ubmTFiLBo5OAolHIBA4\nshR5dXVViVf3UfAhYrTndK6srFRHR4fOnz+vzs5Ow46mpqaUSqXsfVVXVxsBxCm5ubmpubk50zPF\nYjH19/crGAwqFAqZhjCVSlnBgvJnREE3yc+j097c3FQsFlNLS4uRN9vb25ZSTORPLpczOxFJvox3\niJAPDg4sNBUxs3NsRI4SDAbt1EfYi8SnpqbGQjslmTyDa0FRwD0C0E0SDNeLboh/d0b+E7GPhY7I\nJn4Gspx8Pq+SkhKFQiGDX9AmgrvxWuhqpbtrQCn+TgKA7pAxmvsSYf3u7u6RvEWnFQ2toRMyoakA\nJ+bzxz1BAwCelkwmtbW1pZmZGcO92RCINAaCi44OfNJZ9GlY0JbSoaM7lGR4pc/ns6YFhQLKABxT\nHAwoHzg4JOn973//vVX0vvCFL9iHwqno3MRFZ0Rn0NjYaCZ0wEwunCTTPTECcXO8NlKKQEifz2dh\nmSsrK2pubraUkMrKSg0MDCiRSBjLyyjX0NCg7u5udXV1Ga7jLHCMFSQrszlteXnZOi3yAllnGYlE\nTAaBTSgQCJigmu/FwnG32237Q4i9X1paUjabtWhtcDD2RiwtLWlmZkbXr19XIpGw4NTa2loFg0G1\ntrbq2LFjCofD9qClUiml02nbAxKLxcycv7d3uGN3amrKwH8kE8QiLS0tWTgDxQzBLL7epqYm60ic\nFjsEtk7RL90bYPrm5qY5aLiXGF8p2qurq7bOEescwLkzYRi7ldvtNtkNiR10ZlVVVeYVr6qqsv3D\ndHp0+QQm0NET/Y82EPkKzPLc3NxP7ToB84LddbkOk2IgJbgGjHkUMooz3nbgA0ZkcGdcIYh9nXgc\nBx3jJekrwWDQPNiSjsTg8/nhJGHvDNASXTdyNFw7ToiDcR/pC+wrLh+6aggySUdIkfr6elMVbG9v\na3R09N4qeh/60IeMjQXrQt3PB8GDBHWP3ocbQZIB5c5iiI3MuZfTucfTUMobaQAAIABJREFU5TrM\nXCPJ9datW5qenlY0GlVLS4vJYShU5ITRDaZSKQ0MDJico76+XtFoVB0dHfL5fOrq6lI4HDaZACJi\nl+swnRbyhsVIW1tbNvLt7++b9QzG1Ov1HolH397e1sTEhBKv7k+VZCdra2urRZRPTk5qfn7eDg26\nOzoCxpwbN27YvopkMqnp6WmVlJSov79fJ06c0MmTJ/W6173OvLPAA3QUzq4MPy2xWR0dHQqHw9ah\nSYfsc+LVbLtMJmNpMIxqxcXFthWO10uxZScIRcVZlHhonSQBzCtFl4XjzvGVdG0Y48XFRYVCIUtB\nLi4uNhWAU/+HvAjftNOXCz6HThL/KwWXB5WRtbW11cit6upqNTY22shPZ0qx4ntApFAcqqqqlM1m\nrVMk3NVZwDj4mVjowiorKw3aoLOUdISMQzpEUaIzR+NYWlpqzx0YHLgkQnli5om6RzDuTM7J5XJH\ntH3c24VCwaY6ijFTRElJie3Q4PD5zGc+c28VvX//93839oxq78xLY9SlanNSMsoxyjj9iYD6SDTm\n5uYsjogLDJuHsh5B9PT0tGZnZ+X1enX+/HkD8aemphSPxy1KiZvc5/NpZWXFDPDcAOButbW1OnHi\nhB566CFry+kIGdXKyw+XmxMVzuIdBLV7e3uWPEJOHp5UGEmimBiRnH5lXCrEOuXzeSMQGNFJNmZZ\nksfjsYeZxefXrl3T9evXDdciJh4bHkm/dFM8EHNzc7p27ZrGx8ctFaNQKJiANhAIqLGx0XAhHhJG\ndDSAdJQA5s74JrApp2iVe6K8/O6OY94r1z2TyZj9DSyY6+/sMBnxGTd5wBnnwCYB7pubmxWLxczw\nT9cEuw/uRnfG8wD2y8TitNfRIeKQwF3CoQu2LcnIKmAdHCngjUAq/Cy6a0nWRbLa00n+UQz5fWxp\neHMJUoUkw0zA4QJ2GwgE7HqATzr9w7yPiooKRaNRVVZWmnSqubnZ/ozL5VI8HrdCuLCwYNIfQmK/\n9a1v3VtF74knnrBCAEbDbM9NjKocuQTjBWMNgDIdXKFQ0NjYmF1MPnBEzeBALS0t9qAhw6BYZbNZ\nS+1luUxNTY0GBgZscTQOkdraWhsvnB0OncH09LRGRkbsBgwGg2psbLRIKjAWAhcwtM/MzGh2dla3\nb982+1csFlN7e7sZq1mgA84yOTmp5eVls2ghCQmHwyYlKSkpMWE0zHY6ndbk5KQ5WQD2GWeampos\nnQX9VSaT0ZUrV3T16lVls1nt7e2ZHIRAAOKufv3Xf10tr9oMC4WClpaWTAPHikhkLLCN/GwCMZ2Z\ndIx8YLxAB2CCVVVVBtzjZhgdHTWnCmEWjGzhcFjnz583RrimpkaSbH0BJE9tba1hwIy3IyMjpmFj\nMiBlmFGe+6+i4nDTWiKR0NTUlAmmkeA4F+Mg9/h5Bn90orFYzIg3SbadzTlyo7OjaUAITrdZWlqq\n3t5elZeX23vY3d3V7OysdYWsEpDuhgjQPCA3gamFrWZM5qDjs8NiB94HG44ig9QWIqKcHlzIGLSg\nND7kTuI1J4Di/Pnz91bR+8AHPmAXFNCYGxOgnS5lcXHRTiswFbf7cAsXWiEidVwul41ZYAcAyyjX\ns9msPVT4BiORiHVSe3t7unTpktl7WBidSCQ0MzNjaRXb29sWw44n9LnnnjvycFDcFhcXTYCMBIJO\nk21bKO1PnDih/v5+RSIRra+va2JiQpOTk9apNDY2HlmUTW4dZEo2m1U6nVYikdC1a9fMqsT4BtXf\n2NioY8eOqb293YIT8vm8ksmkEomE5eQVFxcf+bkUQJKnGXFgtVOplH2PTCZjJz0RQGVlh2sVm5qa\n1N7ernA4rJ6eHisMYLu5XE7pdNqCX8H+iHoCW5Lu2qAowHwmiMfByVhOFI/H7TDF8oSYd2pqyjzN\nko50dHQxREXxOdDBR6NRxWIxCweoqKjQ/Py8aTez2ayNrRQeOtTi4mIrfJLsAJNk8hwnIQKW6XRu\ngInTSTElOeEi9sGAC3Kg0CGDwbKVjpQdPLxIeuhiOXQgd+hOnWQYUA9QA9c6n89bJ8tnz/sDomC0\nJaCAWC3wcr5/RUWFNUZ1dXX67ne/e28Vvc997nN20QnTBENDRQ/YXlR0uOzYuSsCKxBMEScJJw6Y\nBbssxsbGNDExYRa0/f19dXZ2qrOzU4lXdxKcOnVKVVVVunHjhhYXF7W0tGQ3MUEC5M6RyAulv7q6\nqomJCTNe19TU2IjN2B4IBCwZJpfLmeBY0hHKfW9vz1wTFE4SSGBkM5mMtra21NHRoZ6eHnV1dR0x\nezPylJaWanBwUK+88opSqZSxd+Xl5ZYuTNfFFqr+/n6LrCczLp1Oa3BwUKlU6ghA3tTUpFgsptbW\nVnV3d5tODHwIq9PBwYFWVlaMcSbHcGxszHRnHFz4TMG2gsGgXC6XQqGQPeTgny6XSwsLC8Yss10L\nz+7s7KwWFhYMBwJ/k3Qkioqof8ZAgiEYy1gLAK4HoA7WRwwXWCcEF8UHPOvg4EDRaNTSX0jfBofm\ngKJbra6uVnNzs8LhsMlNwGTdbrdBIEAXPPC8/mw2a0w2oyoidPBJSZZFh4zG7/drc3PT7nfGSjBx\nbIAUa3BWnD7OmCrkQfi66dDBw/n/dHlgj7xepCfg98jL0KSS2kIsHdKx//zP/7y3it673/1uVVdX\nGwPJTby+vq5sNqvr16+bKpvodryvSD+QDHD60043NjYanpFMJk0BzoPHSIQg+sSJE8YSd3d368EH\nH9T29rZmZmaUTCZVXFysN7/5zRYYQHTQ4uKiLl68qJWVFUUiEZ09e9asUOxsjUajR6wxsLycWC6X\ny1hkcExcAtFo1IDZ9fV10/YBCkt3Oxy2vBcVHYaZtrW1qbm5WS0tLdYdl5aWWrAk6yxxQ5DUQfgm\n7hUkHa2trerr61Nzc7Mp5RFlp9Npc8Tk83nDmjh1CQPg96PRqC019/v9VgTpHGZmZvTiiy/q5s2b\nymaz5mbhtIfY2NvbM3IGo39VVZU6OzsVjUZNyoLW0CmKJinn1q1bunr1qhWt3d1dGzURxjsthE6Z\nCVABDy0iY4B6SUa0lJWVGUOLyJdrPDk5aYU7nU6b+4BO2wkD0W3y4L/WfwpWjcyLfRsI0bGxIbvh\nGtLJYaOjmwe/RkZEN4XgHPIQBw4dHx5mIq5oSviMYWrp2JDk8MvZxcPC83exnlJosetB9DDdPfLI\nI/dW0fvYxz5mTNr+/r75Or1er42sw8PDJntAgU+HQfa/M4FWkhnWSWcgcJIL5PV6lU6n7SbA5lVc\nfLgGDwnLQw89pFAoZNKNoaEhPfLII7pw4YK8Xq9SqZSmpqZs+9jU1JQmJiZ05swZeb1eHRwcJuaS\nJ4gCf2dnxwBZhLbOU4wbE70hD6Mz0slJNOBa4WFEA5fJZJTL5ezg8Pl8ampqUmdnpzo6Oo7gbDDK\ndHGA+CjnwazwOtN1BoNBK7CsKeShpYshTCKXy5nmjjHJ+fDRvTQ2Nqqjo0Pd3d2Wj+YcldCHra6u\n2n4Q3CCwmjC2MIlOs3pxcbGampp09uxZnTlzxtKS6ZzA+rg2FNzx8fEj7DafPw8f5FAsFjMyrbS0\n1Do8oAGn7MYZRICYmM+P7gZcy+PxHFluVVNTo3Q6bYc9hQcGlE6KiDPnfgmglbKyMisYzc3NR3SN\ns7Oz2t3dNdkNXleY1fLycjucIdG4vgRCOH3J/DzuZQ4VcHBgJUmGSRIqC1GISYDxGiYb2AIyiRH8\nk5/85L1V9D74wQ+aUZiiVVFRoUAgYN5TbuxUKmVdHkxaUVHREVEzaRakCW9ubtp/w3Sh/WO1IXFM\nJIS0tLSYhCWRSKilpUXNzc2qq6vT1taWRkZGFAqF1N3drebmZnm9XvOl8gG+9NJLmpubU1NTk+67\n7z5FIhFdvXpVQ0NDSqVS5uUkzLKjo8PGrXg8rrGxMTNSE1vFTY2gl0LIw4R+i+gpChPdD5KeO3fu\n6M6dO9ZV+Xw+NTc3q6urSz09Pers7FR1dbWNcOjv0O0lEgkbJ+iUGcO5EfFNE3ra1NQkn8+nhoYG\nG+/IqIvH47p9+7YSiYQtaVpeXjYzvvPkLy8/XILd0tJi79fj8VjBQJ+WSqUkHY5SCNSBQiAw0um0\nyZTAD533JgWkrOxwx0g0GlVbW5sVKL/fb9MEzDmvE6EsEgwe4IWFBUsEku6mMc/OzmpsbMyuK/l6\nOHfobg9eTa3h71LsnAZ/unK6XBwzkuwg4M8DrUAaEqbA4iNioRCsl5SUHNmNLMkKDMUGOYozCcnr\n9ZpkZ2trywokmDvKBqc/l/vNmQPIjmgmNlZKQBKh4eN52d3d1Xe+8517q+j9zu/8jmViSbICRFfR\n1NSkmpoaO21o5yWZc6FQKCgcDtuJxakFe4SJnf0bSA6wIrEHIhwOa39/3/CPjo4OJZNJS74gfhvQ\ntqyszAB4hLYul8ssdKjDM5mMysrK9LrXvU7BYFCFQsF2XkxMTGhgYECTk5Om3j9z5ozOnj2rlpYW\nS5SempoyDyHLmRHbptNpM7ZzcnZ2dloMEdgNBwsnYn19vY3gRHjhdKmvr1d7e7uRFPw8XCQ8zKur\nqxofH7fRNp1Oa2JiwhhLOrmNjQ37uRj2Gxsb1djYqObmZrW3tysSiVixgMDI5XIaGRnR+Pi4ZmZm\nlM1mtbu7a26J8vJyNTU1mU+Vz7ejo8MK4N7enr12mHLGKMgVDgX0khR7pFSIiHmQ79y5YwcBozD4\nG8nVdFjcG+Bsfr9fsVhMbW1tFlxAZD+5hq9NKPmfvpwmfucXmCNkDUQFzxB2MjpjihHvA60brw02\nmVFV0hHfK9eCAFxGce5FCiSjKaoHRMyQlXS2yLu4RhQ23jOMLtMARA+7fjc3N++9Tu9P/uRPtLm5\naSwSLTtyh729u1HpRUVFtq8CZwb6NXK/ADz9fr/R9jB3tPXgSE6hMH/25MmThvOsrKwoFArZiXtw\ncGA40erqqq5du6bLly9b5wGWWFdXp+bmZk1MTCiVSsntdqu3t9dsYGBYsGQwYOvr6xY2MDMzo62t\nLTU3NysajVoAAK8N4SeyGVhNSUdAXZwkwWDQGHBkEhRCpz+X/a2kCiMXcn4vgPRIJKK+vj4dO3bM\nRiIOorGxMfOT8pk5NWGLi4s2JjFK19bWKhwOq+VVS9vp06ePuF0wzXNf8OAQ104yDMZ7tqvx7+CA\nfr9fPp9PLa/GgtXX11sIAEEQdH10xvwsiihTBvmEkuwBBr8MBAKW7u2U5ywuLiqfz2t2dtasaejy\nsGSRMQmD+T99wVqin6OQOcdHiAZCFvAzwwAjNi4rKzPPeF1dnTG3kmwac8azO/E79iovLy+b7hYs\n27kIKxAIWIPC66N75ACiYwVj5YDBKODsEiFWOJRI1C4qKtKHPvShX7zotbS0GBjqdrt15coVLS0t\n6d3vfreSyaRaXhMZ/9nPflZf/vKXVVxcrC984Qt605ve9FNF70tf+pIkmeeR7oHobAIyMY9jmGft\nIA4LTmNJZslCjc5IzINSVlZmliuYJCKZlpeXdebMGbW1tVkihc/ns4udyWQsCKC+vl77+/u6cuWK\nCoWC7e9lZCGcc3l5WU8//bR1HIFAwATDDz/8sAV1Dg0NGXbpdrttBKWgM8YwZni9Xhsb+X2CPJeX\nl81Klc1mzcaD5Q0skQLq3GPhfHgYaxjR8vm8FQk65pWVFQWDQbW3t1t3yMiNrzeXy2liYsJwPeLj\n0VIVFRVpamrK3CMA+8XFxQqFQmpvb1dbW9uRbXlgmPhXkewg6gUIR7jrdrs1Pz+v8fFxxeNxK/Ck\niiDOhf3r7OxUb2+vYcJ+v18nTpywggEhVlRUZIfM2tqaJicn7aCgmCCzQnQ9NTWlzc1N20eC24DO\nhS4ZsoQihBWSUX1xcdHGQifribuBog1ZxZgLm8yiIKdNjJ/HFAWWKsly+ZC+UOyAjYiE5/PAhYEl\nDWlJbW2tSb4QUoN3g1uzACoYDCoYDBopyQhPd72wsGCQCUoO9r/s7e3pK1/5yi9e9FpbW/XKK6/Y\nCkZJeuKJJ+Tz+fTEE0/or//6r5XP548sB7p69aotBxobGzvSsrtch8nJKysrkmThk1iZkDAUCgW7\nCOAk+GgB//EYUvgAop0RTzCqpHNUVVVZii2MMd1WaWmpurq6bLwJhUIKBALKZDIaHBzU2tqaamtr\n1dHRobNnz5rsY2VlxczsjECMwYiNKZ6ZTMZA8N7eXr33ve9VS0uLhXLiTnFS905z9sHBYZzV+Pi4\nFUSYPPbfgr/woE1OTlr6cG9v7xGRKt0ZGjIsSIw8EEHT09M2BkoyvSS4C7pG8DD2QfT29pqNjIdI\nkunl6NjolsPhsNbX1zU1NaWhoSENDg5qZGRExcXF1tlgWucBaWlpUVNTkwH4XD+/329/j0JJ94gF\nsrS0VNls1pY/rays6OrVq7p586ZSqZRJb8DnOFirq6vV2tpq5FJra6vJMFiAzhKfUCikxsZGK8QU\ng+XlZdPRAeRzT7JHZH193T5rpyYPwsJpsndG2js7OyKrEFw7O+aampojS8SBhuiy0EU6F3ehqQN3\nBPqoq6uzTnNvb8/waae4mcmATo73QFfKQYxwGfhheXnZHFnAJ7x38Gs+36qqKn3gAx/45Yreyy+/\nbFoeSerp6dFzzz2nYDCobDarRx55RCMjI/rsZz+roqIiffSjH5V0uAbyz//8z48sAXe5XPr4xz9u\nb5xkXPLWtre3NT09fUQLBAtLESOmh4IAg+YEM52xO4xICwsLNu5Go1FFIhHDAqDP19fXdfbsWS0v\nL9t6wLq6OkWjUQPhi4uL1d/frwceeMDM58lk0jRNWKyqqqoMpGenKWzW9PS0XnrpJQ0MDGhra0uN\njY3mdZXuRulwoxNLhP2MP8dNhicXBhWpTkdHh8WeJxIJjY6OmoPB6/Wqt7fXlqYzjhKGyWdQX19v\n0Vd7e4chq5OTk6b34iTu6uoyoTQHGMtneBgRfLNtjEVNiNHj8bhSqdSR+KS5uTnDrRgx6WQ4+cEo\nnaJWujeKm8vlsqJ/cHCgXC5nGj6ilCoqKnT69Gnzw8KkginB6B4cHBjDvr6+rnw+r5GRESVejR1j\nciGzkWLDgcH+kIqKCsViMbtOeMKxXfK5p9Np7e3t2d/FceEMCEBfRzcVCoU0Pz9vDQNFh8KAuwTc\nj/CPbDZr7iLYWqYq4tQ2NzdNfM/9R7HjfmhpaTninkHw/dovDhNGWUl2DWCxGZE5NPjzTjzT+Roo\nwL9Q0Wtra7ML8Ed/9Ed6//vfL6/Xaw/xwcGB6uvrlc/n9YEPfEDnz5/X+973PknSH/zBH+jxxx/X\nb/3Wbx0peh/5yEe0vLx8JInB7/ebbotxj9FqbW3NFmmTqef1em1RDDFF4Gd0HR6Px0S3xcXFtlCF\nmKODgwP19PRY5n+hUFBtba2uXLliKwg9Hs+RAE10cQh7jx07pgcffFCtra2WOoLVhn+yGhKDt1O8\n6fP5jKVGTIsujbSU7u5uc3UsLy/L4/Gou7vbriksXH19vSKRiIWAJpNJXblyxUIxSTbmQUqlUrp4\n8aLm5+dVXl6uUCikaDRqzgu6hOHhYQ0NDWl+fl4HBwcKhUJ63etep0gkotXVVd2+fVuvvPKKZmZm\n7GGtrKxUW1ubdeKw8ch0GBsvXLhgWExZWZlFClEkgVW2trZssQ6SD7L4wM4QBDtjvYaHhxWPx+1z\nX1lZsWKJbpCAg1AoZA4J9Jxra2uWSIOsBEyZBw0So7u7W8eOHTNBNYSB00mQy+UMqmH5N1IVrg34\n59LSkt2nFCYKLx0RXZyzAPDvRUU/ncjMn/1/+YW+jyZEuosTEloKscGERoHc2dmR3++3rheL4c+z\n6Ul3s/R+4aKXyWQUCoWUy+X0xje+Uf/wD/+gt73tbVb0pMOlx0tLSz+z6L3lLW/RO97xjiMv6L77\n7jOKv62tTd3d3ZZCywmIGZ/t7slkUru7uzaeVldX6/Tp06qrq7OgyKWlJY2NjVnRxD5F3j/+vPn5\neWM0M5mMaetIcejp6TFdYHHx4dIhcBQexq2tLcOiCoWCgsGg3v72t1sU1M7Ojnp6etTS0mJ+WQBt\nAPxQKKTKykpls1kVCgXbOO/1erW4uKibN2/qxRdf1LVr15TP51VZWanOzk51dXXZtfH7/err69OJ\nEyfkcrmUSCTsz7a3t6uhocE6A3y6XGvi9NFAzc/P6/nnn7dxKhwOKxqNHtE9cg2vXbtm4u/29nY9\n8sgjOnHihBnUU6mUnn/+eY2MjFjSDJvkAoGAVlZWdPPmTQ0MDFgHwZjISkBCOZEWYdwH52JLWmVl\npaLRqIWGzs7OKplManV11baloSmD4AI+yWQyGh8ft1QSsF7SS5CxOJlnvh/hAtgZgQjIj8NF4zz8\n2MPrXGaOkwgci8ACSUYW4UZxssMst4L5dZItqA0Qpr+W4ZV+Pvv72g7qtV/7+/vK5/PGbOMAQTvL\nlEICNto9ujhndiR/lnQX0oxgnsnNpNtH+Ay84VQTJBIJg8Z++MMf/u+wt5/+9KdVXV2tf/mXf9Gz\nzz6rxsZGZTIZvf71r9fIyIg+97nPSZI+9rGPSTocbz/96U/rgQceOFL0vv71r9uNyYVgDGGkpRtz\naqno6ra3txWNRtXa2qrm5mbV1NRoaWnJxoq5uTml02nt7OzYTgS2ZiEjcJrZiV+CHZ6YmLATnA8M\nOQSAOeZ2kiIODg40MzOj+++/X2fPnlV5ebmeeeYZWx/Z1NRk6SfYtACuuS50Ary28vJyHTt2TO99\n73tVVHS49vHZZ5/Vs88+a0GeKOHHx8eVzWbV2tqq9vZ2Oww2NjaMYcPKRSdBgWb0aGtr05kzZ2yH\n67Vr13TlyhXF43EdP35c/f396uzstB23dPyDg4O6fPmybty4YSP16dOnLX25pqZGuVxOP/7xj3X1\n6lUlk0nt7OyosbFRDz/8sC5cuKCysjKNjIzou9/9rp555hnTtCHyDYfDam9vN28rIDjRW4y8Tgyq\nqanJMu3m5+dN+sI9R7gCkU4+n89y9LhnEomEBgYG7H4lBgvnBbjZwsKCgf2SbOk7cf4UtO7ubkUi\nESMC6HJgIWGcyTGkq+E9Ir7l3oQFRtbEmF5cXKxUKmWHBPDBysqKPB6PMeDIlTD9s56BQgr7DGzC\nvctrIqPPmQdJBt7m5qYqKytNVsIyKDB+uj1CR8AQa2trtbOzY9cgGAxawhBYJYQmxF0ul7Muvays\nTP/xH//xixU98BrAzje96U361Kc+paeffloNDQ366Ec/qs997nNaXl4+QmRcuXLFiAxcCc6i98Uv\nftEkEMPDw7YDs6KiwoIecVDASE1NTdloibC1q6tLx48fV2dnp4LBoOmOGKdIUcZOw04EblrEvlD0\neGrPnz9vzCiRSZOTk9re3jY/LK047NHKyoo9KEVFRQqHw7rvvvvU2dmpubk5TUxMmAwA+r6xsdEY\n4nw+b3FExO2sra1Z0MH+/r6OHz+uvr4+hUIhHRwc6PLly7p586bm5+eNEYPh29zclN/vV0tLi40M\n5eXltu/W7XZbVBFjUz6ft+ihaDRq0pT6+np94xvf0JNPPqnx8XFbloSlDOzH6/VaRh3hCsTv+/1+\nNTc36+TJkxb9Pjg4qOeff96y9crLy3X27Fndd999FmEOEz0wMGBYr5PFQ9rEA0jcVklJiRFKdAXY\nyRilYaLBaqempnTjxg3DIOmCT506dUT7SVELh8NHQjIRoXPYZDIZDQ8Pm7sF8o4v2FtkJRTj5uZm\nw7LAAcEFgXZg3NG47u0dLoOnsyMaiiaBsRlhOoy4z+eze449HxATkszov7S0ZEXJ5XIZ6eUk2/j8\nC4WC4ZH/XcfIF3+Ha8J1eC2GB6HnJEbR0L7295DvvPbrfyx6U1NTevvb3y7pEFh/3/vep49//ONa\nWlrSu971Lk1PT/+UZOWv/uqv9OUvf1klJSX6P//n/+jNb37z0R/qcllHSBYW4CoiUqJ96Eq4uVHt\nozG6ffu2AoGAzpw5o46ODkmypeDSYZcA2A5bFQwGj9wUHo/HMujotubm5swahR+UkRYKntaaQobW\niQTl2dlZzc7OKhgMKhqN2sHBzlOwnUAgoFAoZNl+JLeMjIxoYmJCS0tLVpRY8BwMBg07qq6uNq0g\nuzS4uVleMzo6aoQMxAFMdiwWM4aMdNuGhgbb0bGwsCCPx2OjKcGoly5d0qVLl5TL5RQMBvXoo4/q\nda97nWkPd3Z2rCDm83nzMi8vL2t5eVklJSWKRCI6ffq0urq6VF1drfX1dU1PT2t+fl4jIyMG3ns8\nHnV2dlpE1msdJrDzMNwcarB7aCQp+hj36RSci3mQWzAx8Dnu7u7aUm6nVITtWzyMYHgc2CxdJ+WH\nQxzWG7CeL7BExLqMb9PT05qcnNT09LSNksiU6PgokmBndJMctJAkqVTKnjvuLadg+7XPKwkweH8p\nSvf61z0lTv7TP/1TA6tdLpfFmW9tbRlpgpi0rKxM6+vrZrVaWlo6wtoNDw8rl8upt7dX73znOy2o\ncHV11dZD8mcBjb1erwHdZO673W57HZzytOqSLFWDmwzCgZPX2aZLsiI6NzdnaRktLS0WfCjJ4tRx\nHaAbq66u1rFjx2wLWm1trRYXF60gDw4O6ubNmyYu7uzstAeZiCZcFwsLCwoGg5Zm873vfU8LCwvm\nn5UO4+aRftTU1JhHFIyGBxqLn8/n05kzZxSNRrW7u6uxsTE9/fTT+slPfqL9/X2dOHFCjz76qFpe\nXV6EjAdyprS0VIuLixodHdXU1JThNcFgUH19ffq1X/s1CzUtLS210RJCgkMPcJ+Og8+JgxIHDYD+\n/v6+icCdW+KANujqWEhOcALxSvF4XJlMRnt7ezbik1/I2MyoTCacdJd4gFyCiaRoYxMjLopr7xTi\nQrLQ1QaDQdsNQhI4lj06LJwQvHfUEiTGwOLz/yVZ5+y8p/mnM6LoWdT/AAAgAElEQVQKyReYHMWR\nzgwCCnkQozeiZSK6uGZodnFkUYQpsjQpdKSoNJydIETjzs6Ozpw5c28Vvfe85z2WllFTU2N+0kKh\nYEwjAC8A8NjYmBWo0tJS3bp1y9YglpQcxoSPjo4qHA7r/vvvV39/vwHZsKaMMs6MMcZXgOnGxkZN\nTk4qnU5LkgHVoVBItbW1NibglEB8y42I3onsutXVVfswwRQjkYjpnkKhkLGliFzj8fiRgFICFgKB\ngC0zLy0t1ZUrVzQ8PGwaPDzBZBWCGRLusLi4qOPHj8vr9WppaUmJV/dlIEqmUICvSocPQUdHhzGU\nANN0V6Ta9vf3q7u7WxMTE/rud7+rb37zmxoeHlYwGNSDDz6ohx9+WP39/SoUCspms5aT19fXJ0km\nKE+lUrp69ar9/3A4rDNnzqi1tdXYfZwiWMYAxLleJNbU1tZaGAEPM1MES3TwRGezWUve3dvbsw1u\nkkxzx/2JR5ygzaamJtu+x8EHZkbRcSagUGCIHcMvyut0ykkg7hivCV0AhyNayhnKCgnD4Q755nQu\nEGmVSqUM4oAE2NjYMKWDy+VSQ0ODaf/cbrc1LM7Osrq6Wul02uQ8FRUVFsMGKcPBBC7JWEwqNp3p\n0tKShZoygfBFoeUXHb8kNTU1mZ0xlUrdW0Xv937v9+wFcRIQCwNRwCiCyd/j8Zj8oaamRqdOnVIq\nldKLL76osbExNTQ0HInI3tnZMYkGkgGwCqfvkpOLG+jOnTsKBALWhTFOIoDkFGPUxDVClpvTOkZX\niNbJ7/fbe0T7RgfL69rf35fP59PMzIzS6bSBwYycuEs2NjYM3K+oqNDo6KguX76snZ0dhcNhdXd3\nW3qI03s5OTmpubk5G21ra2sVj8c1PT1ttrvW1lbTbCGSJtHF5/NZB4qzhb0fxcXF6u3t1blz53Ty\n5EkFAgENDw/re9/7np566ilNTk5qc3NT9913ny5cuKD29nYtLCzY8hxil3p7e+26zM3N6datW7p5\n86alE/f29poomO4CPApxenFxsUEIiURCIyMjGhwcNE811xTdYHt7u70vOkO6RmyL4LdTU1MaHx/X\n6OioXTM833Sd2Og4qNnhAMFCB3lwcGBYI4dzZWWlaQ4Ztxmp6QrBt+jgSMRGHlJaWqpUKmVET2lp\nqYmQITuQ+AD9oHHD8QQMVFdXZ3IaYCiwUrR1QESIp7l/flVfHDY/9fu/qqL3sY99zMYTRozS0lIL\nUwRDILCR3bDV1dU2FqXTaZ0+fVrt7e1aXFzUt771LW1vb+vs2bOKRqPa2dnR4uKiiZNpyQGJKXD1\n9fWW0kvyBCcXgDY3HOOwU1mPMFSSksmk7TEFBEe+kcvljN3Csrazs6NYLGaYFsU3nU4b0VFSUqJE\nIqGJiQk7qekm6VYQ4TY1NSmdTuvmzZsaHR1VWVmZdSCIaZGFIKcg2QSWO5lM6tKlSxofH1dpaakF\nesIIMkIRCeXc5FVSUqK5uTnNzMxYIGxnZ6fuv/9+nTlzxrroixcv6uLFixobG5MkHTt2TN3d3Wp5\nNUXFmV0IpkfaDRFg2WzWiCWnxg7FvnOxFDFYkUjEHCdra2uanp7WjRs3dOXKFROi0ynhuuD94Rpg\nSVNDQ4Pa2trMesUkQUc/Nzen6elpTU9PW8oIIt3d3V27Z/7/PC+It9FihkKhI6skKXJgbc54fYgG\nQh8Yf4Ft5ufnfwqP5N5mtMSVApzgDF8AF6QYMmoyjjq9tXS2hIQAF0GKVFdXG6HhbDDIJWQUxsRA\n6nJJyd2FYhB6p0+fvreK3he/+EVjs6qqqixGmjhxbhR2PSDfwG5UVna4//UHP/iBbe/y+XwW7llV\nVaVjx47p1KlTlk8Gdc9+WlixXC5nyvji4mLbq8BoCIiPKhycoa2tzQgEhJOctKurq5qamlI6nbaR\nDOsOGjrSWYaHh7W5uWnFob+/38gCklsCgYBF94ABOReG0xnE43FVVFSYlGdtbU3Dw8NyuVy2cjEY\nDNr3Ru6AXKC+vl49PT0mC8lkMnrppZcsBv/g4MAcAX6//0joI0WU60hiCSESJHegRwN7XFlZ0Y9/\n/GNlMhkbi0gLZpTnXgHEx20A1jQ/P6/h4WHrSnnoA4GA4YIUUnSgyDHa2tqMhQaLYz0jqcslJSW2\ncIaRmqmDTh6BM/l81dXVhrvRdUAgOYW25eXlamhoMBaSEZCujpCC2tpabWxsWAgsnx/3I9o8ghOc\nG99+BY/5PfF1TxW9z3/+8zZ2ejwezc7OmqiWys7NvLKyYrgJwGtbW5seeeQRY9woMl//+tc1MDAg\nj8ejM2fOGP4AlkI8UyAQsKQMxuFEIqF0Oq1CoaDm5mZjAZG+hMNhw3WIISLaHGaWDVCSzC+M7opl\nKNLdZA6wCrR7bC07efKkTp48qbq6OotW39nZsfHPGRfOQiNEzzhRGFl6e3tVVFSkyclJvfTSS1pc\nXNTp06f10EMPqaenx7rO3d1dK0Kzs7MqKioyaKGrq0vZbFYTExO6du2arl69ahlsFPDGxkaVlpba\nMiIe/tLSUrOX3bx507oCNFUlJSUWM1VcXKybN2/qqaeeslTqUCikc+fO6dy5cwqFQhbKcOfOHesS\n0LIRkomdzuU6jJNH5gIQjmA5EAiooaHBJEN0Ent7e5Y8zGIlZxAAhWZ/f99eByQTNjDy68B0ub6L\ni4uWVOyMr2ficRZJJ86Ho8b5mhjxcf9g/UPrSvfGa+X5Q4i9vb2tTCZjS7VJlEGjyiHCdeS1oGRA\nGsJniayFzrKoqMi6deAVDkVeE35p7j0SmumwnRsOgRpgwdnBTDo1sV9IpO6povfOd77TmNrm5mad\nO3dOfr9f+XxeQ0NDtpUJsbJzsxjdoCSdO3dOx48fV3Nzszwej/b393Xt2jV97Wtf0ze/+U3V19fr\n0UcfNf/m7u6uMT8NDQ2mG2PxkHQo07l27ZomJycNF8RVsbGxIZ/Pp56eHnuQsVSFQiHt7OwYDkN+\nGwuHkLm4XC4L2dzZ2TGBKH/22rVrcrlcikQi6u7uNqExOj5+0SHTZXR3d6uyslIvvviiXnrpJaVS\nKVvN19DQoFgsplgspkQioUQiYTtx3/jGN9r2MqLdwZawbC0tLcnr9aqtrU3FxcWKx+NWsLPZrB1Y\n+Xzedk0wHhLnDiHldrstaACMsqGhwXRWFRUVikQiptXLZrP6xje+oe985zuamZmxLv748eNWXOnS\nOKCQ7Dh3dUAmgIGRCowbxufz2XpLUkQgDyAw8JESScbrhnUFq8MKh3ODGKTq6mrr9uiESfVxHjhM\nHLC4aCpJb8HRQ0IQKwc4dOnunJ5W5xcHFVALQRUUDhKQmW7wd0t3NXVIn1AprK2tGflCAa6srDRP\nvcvlsmX1kowNzufzRxwlKDR4zaS4kNLCeoHbt2+bF50iCyyGmPqeKnpPPvmkpe8ODg7qzp07CofD\nZgafmJiw01G6+yHNz89rZmZGKysrikajKi0tVXt7uzo6Okxzxc/Y2NjQ9evX9YMf/EA7Ozs26nBC\nsZCa4kRXgtWN1Je5uTkNDQ2ppKTElgGR2kGhWVtbsxtQko3SS0tLOnPmjFnEfvKTn+jixYuWC4YB\nH1dEJBJRf3+/7ty5Y4uMampq1NnZad2kM0gTTBFsLpVK6aGHHtKDDz6o8vJyPf300xoYGJAkM6fj\nYIEEeuGFF1RVVaWenh5LCkEKQWIJMgzGJrfbrdbWVu3t7Vl2HcVkampK09PT2tjYOGIXYuysqalR\nT0+PAoGAkQWsvCR95tixYyoqKjLNZVtbm9761reqtbVVi4uLeuGFF/TUU09pfHxce3t7Rkj09/er\nv7/flq1XV1fb6U80UT6ft6h9DhceXh5wBN7j4+MaHBzU8vKykSRNTU1qa2uTJMOneNDAy+7cuXNE\nME5YqHPFAWN+Q0ODEQaIcTnYifaqqamxwgM2xhfBn6SNS7IDBGzaiavhpkDnh7yH0FmyLIE9UA8g\n8SIFhoOFYg2px2vk0AEjJRllZmbGWG/kaM4wAaAgmpODgwPrPkl3rq+vN30h78sJBxQXF+uzn/3s\nvVX0/u3f/s2A/O3tbUv12NnZUUtLi/r7+5XP503djqWHEaakpERXr161yPiysjL19PToPe95j52A\nCIpPnz6twcFBPfPMM0okErYtiQXa9fX1euCBB+yDIq6enP6NjQ0dP37cTO083PgsJVmAJJYbooq4\nGQgIOH/+vJqbmzU1NaVkMql0Oq3x8XFLhEBbiE4MfdfGxoZaW1t15swZW4p0/fp1G9lg4iiMLBvv\n7u7W0tKSxTNRbAHF0fYNDQ3pueee08LCgs6ePatjx46ZHIiDYXt72xhc3BLoDWHZX7ulam1tTePj\n49ra2rKxkq4WcgSSyePxWHAqJMDa2poVIcIgwuGwbS9jqc1zzz2np556yha8s0msra1NHR0d5sIA\n38NHjEIAUguiAVkJkfEtLS2mywTAn5iY0K1bt2x5ER0X90hpaal5vjksGGedD7kkdXV1WRdTWVmp\nubk585iCAQYCAS0tLVkqEeMt9wnhuMg3+H+IiiGy7ty5YzYzgj54Dhnh+X90pWQg8t8QEVxPPLJo\nIvFAs9ejrq7OcHOnPxh4hp9JWgsJ5M7wBSAv7i0KJwcPuza47/r6+u6tokfrvby8rOHhYb388su6\ndu2ajZUnT57URz7yET344IPK5/P6xje+YaMTLomNjQ3dvHlTmUzGFkWHQiE9/PDD6uvrs25tYmJC\n1dXVNuPfvn37yIlIVFBtba2NnYVCwZKW0XLt7++b2HltbU0+n8+WdEOgwH6xOpKgAXSIAM6wlDs7\nOxoYGFA2mzU7XHd3t0ZHRw0zA0+hmLW8mjB87NgxC1rAd1hZWWlgf1nZ4X5ZSCLGNbqtiorDBekQ\nOYFAQIuLi/r+97+vn/zkJzp16pROnz6tWCxmBn9O393dXQ0PD5sWrrKyUplMRlevXlV5ebm6u7vV\n0dFhSSI4OwDaeR3l5eW2NpJ8xJs3b5rXuaenx2ADMgHx4hJPji/31KlTyufzmpub0+TkpAYGBnT9\n+nUVCgUjGBhJOSQKhYKmpqZMt8b4i6WKbXzl5eWGLzMqo28MBALm1KiqqjJyAwkJQmpnbiPPAAyz\nU6OI1Y5rzoRSXFxsmrzt7e0jycTc2zzOTCWMrLxeXE5ITFgW7gxSRUmBlY9rhjvEmcVHQgrWN1Zg\nkmeJLpV7b2try9aX8jpramqOHJ5NTU2GFeOhrq2ttc4ceRsyLEmG6+HZ39vb01vf+tZ7q+i95S1v\n0bve9S69+c1vVmNjoyRZG5tMJvWVr3xFly9fVktLix577DGdPHlSQ0NDGh8f1+7uriWqOm+WRCKh\nbDZrY43H41F7e7saGxttZ4DTrL2wsKBkMqnJyUnr8qqqquT3+9Xe3q5oNGoYDA82vt719XWNjo5q\nenra0iQk2YfMCYQKHWyI17C0tGRsdCwWM0dGPB7X8PCw/X0KRGdnp8VPsdPA5/Pp5MmTFp+1vr6u\npqYmeb1e28MLAw6jx8OMXoudGJlMRqlUStvb2/L5fCouLtYLL7ygW7duqVAo6NSpU3Yt6uvr1dbW\npnA4rPLycsOlEP2SYJtIJFRUVGRJJGTCgSdub2+b84QQ2aKiIvX09Oj8+fNKJBJ6/vnndePGDbPP\nNTc3q7S01KAElP5IFrC+9fT06MSJE5YyPDMzo9u3b+vSpUsaGhqSdCg4DofD6urqsgeTQre8vGwE\nBOMa9w6fZTabtUOSEZaRkDCEbDZrXQthFYyOhJii6WR8IxUHfy3FhfsHqRDLkxC+cw1xOmQymSOZ\ndHRfwCGI/9EVcq0QeuMMYc8ynlxwN/R7wWBQoVBIHo/H7jME0MAv3MdYAQn6YMKBoNvf39fMzIx2\ndnYMb8XTDmZPwGpRUdGRPEOCHtAPkqv4U/XnV1X0EJ7GYjG97W1v0zve8Q6zgQHS53I5Pffcc7p4\n8aJcLpd+8zd/U2fOnJHL5VI8HreodsB3IoU4aUlkqa+vV0dHhyKRiJ02TruMJIs/wgq2v7+vcDhs\n2i/Aah6UUChk2qx8Pq9cLmfgKzoxMEmsTD6fT8Fg0DAOxiBikXAarK2taWZmxhg0bGk+n89uZnbq\nSocPL9IIJ3vl8XjU3NxsC4ZWVlbsJnNakpLJpB588EGFw2F7mFmLKclSVG7dumU3ORhdKBRSc3Oz\njbv5fP5I9hzQBV0eEfCSrAt+5ZVXzAYHOI6qH3Z8Z2dHQ0NDFvpAGEJxcbGFG7BYnaJSKBwujmpr\na7PDD4IBDGt0dFQvvfSSxfOTTcc9CHYGrkn3RWLO/v6+da0UEI/HY8J2JhCK4crKio2IdHtY1Zxa\nNoz7+IrB9UgvyWaztuuCkY/iR+Kx8xevk4OLMVSS3d+oDpAKNTU1GSnFgS/JPL0LCwvmCsEmyKGJ\nhApcHJLLybTzDLIrmWalsrLSCAoKmPP64p0GL5bukivl5eXm7f6bv/mbe6vo9fT0GKBbWlqq++67\nT/fff79OnDihhoYGjY+Pa25uzuQoly5d0sWLF1VWVqb+/n6dP39e5eXlisfjBqp3d3cf6QAqKiqs\ns8hmswZaS7I0DjRgANz4IzOZjJ04EB6bm5tHxiBA/8rKSnM6MPqwHAW2jxtnZ2dHra2tZlGbm5uz\nB8Pv99vu37KyMo2OjpqkBltTMBg0ecvMzIzu3Lljozs4D50cwaeRSEQnTpxQZWWlXn75ZXsN1dXV\nlh9IpD83PDcmZno6KWeIZ1dX1xFMjo1fBCrAxtGJEV2PsLqxsVEtrybAxONx21/B0iIYeuxGdEaI\nuAcGBoyh5lDjpkcUjK6QYp/NZk2GQYwUflanzg2pBWnbaAhh55eWlo7IjiAfamtrTRLFQUf6CwcF\nkAlecGcHx2GJZIj3T+dUKBQsXh1JFwcrCdehUMj805KsYBQKBbt2ODhw97jdbiscMKlDQ0MGk9Cl\nMungeKI4kfoMXLK2tmaBsOCaLpfLFBvY3jhYEP0XCgWzRnIPIlBm/y62UMTT0t2whKKiIiumn/jE\nJ+6tovf7v//7pqpH70Zqb3t7u/r6+qzzQGe1tramixcv6tatW/Z3ysrK7PR84IEH1NbWZjcuYme6\nt8XFRcvYoyPy+/168MEHdebMGWMRFxYWzBA/MzNj3kyy0vb39y2eCXaMlYYk6hJnjxpekjGCiURC\nsVhM3d3dJgBmhOKfxKjv7e0ZPgXuQqtPd3vnzh3ThhGHj4EeTRvbxM6dO6f9/X1dvnxZExMTkmTM\nN1o/Hh66FsaKoqK7OydSqZRu376tXC5nI29dXZ1hTXV1ders7DR/Z2VlpWUY5nI5TU5O2jYx2PCW\nlhZzxwwNDRng3tjYqNbWVtsvwj5e7HAsqqbbg9E/efKkjelE8nd2dsrtdsvv91sByOVy1iEi1aGz\n4zMBZJdkouPa2lrLtGOXLvHwzt0XyHfobthIR3IQDzXLz9k45wT3s9ms2traFIlE5PP5VFdXZwuq\nYDZZQATRsre3ZzZI8FOIN8ZpukwWN9HNcQ0qKipMt7iwsGCHGH5xsDry7LCUkh/o3KOBPQ3fNC4T\niizPls/n09bWlkEApCs7lQSlpaUWWQY+i8Aea99nPvOZe6voPf7441bFWTjEfkysK5i6W1paFAwG\nzeu6sLBgO1f5MFmRCDtUW1ur5uZmNTc3WwYZp1VVVZWtXJycnFQymZTH49EDDzygCxcuqLu72yQF\ne3t7SqVSGhgYMDIBMPXOnTsmAnZG+7AAhi6K07yqqkrhcNgCEfHUtrW1qbKy0hI8uPnBBukUBgcH\nNT8/b7oulhSBo7DrAFynrKxM0WhUXV1dlmx9+fJluzZ0A4VCQaOjozbe0FmEw2Hbr4uFD8aXBUio\n/ldXVzUyMmLdKFotxllcKkQ00bVVVFRofn7enC48BKSR4Dqorq42/BOf6u7urvL5vKXo8CAWCgVN\nTk5apuP999+vnp4e21kyNzdnS39crsO4fpavd3Z2KhQKmVuC7mdtbc2CCNAcbm9vq729XTU1NZJk\nkinn4QUDSZdEIgmdJddvbm7ObGzxeFyjo6NKJpM6ODiwKCp2NiM/YazGs07HR6GCQCFOCn0fBn+C\nBLDTAZE4N75xn0qy1CNGXhhUOnrID5YPEeAAvMNzDa4NewvbTjL09va2RfFjg1tfX7fIMhwxkszH\n7hSmS4cWw0uXLt1bRe+f//mflclkND8/r7GxMfsAiUQClCTuJxaL6Q1veIMaGhpMwHzjxg2LDuKU\n46QmYRUfJ5gYoD8aNKfjAtzL6/VaS97S0qLOzk75/X5NTk7a8umlpSUTi3q9XrW2tioWi9maw/39\nfZOpZLNZ83XiN0T35MwQbGlpUWlpqcbGxmwXRVNTk7lDwuGwlpeXNTg4qP+PuTePjfyu7/+fY49n\n7PE5PsbjsWc8vq/1euPNbu5sIAKSqKUCKohUBBWhtEWCFpVCTwkKJSD12wKNiooogYo2VU9AoYSj\n5CCba7P3+r6PGV/j8fj2+Jj5/eE8XvkM8JN+Db+ffmspghxrj2fen9f79Xper2vXrsnj8ZhfFpB6\naGjIRg0uguLiYrW2ttpWsuXlZc3Pz1vBhW3G88saRmQyfX19KioqUiqVsgXlBwcH1pHAPnq9Xhvz\nDw4OFAwGLaQV0qS1tdUsbOBBSEOQJCwsLKimpkbNzc0qKSnR8vKynn32WV2+fNmSQ9jpy0Y2NFqE\nz9J50h3HYjENDg5qampKVVVVOnPmjKXNpFIpW5w+PT2tyclJ7ezs2NiLNq+4uFiVlZXWsXL5gD0x\nljJF8M/pUHw+n+rq6gxfQzhNAcSN4ff77Xdg+x2LrRi9IRQQiBPfTqag81wvLS0pnU5bV+R2u02B\ngHaRi46Oi/NHEop0jDlubm7mbB8EP4TJZmeHs3N1xsTzOrjkaHwkmUSG941RnnEeFw3vi3PFAClF\ndMHl5eX60Ic+dHMVve9973tGj7N459lnn9X09LR8Pp9FqaPqRz1+9uxZnTp1SjU1NUomk0ZAzM3N\naW5uzsIiGV0WFxft4O3t7Vk3WFtbax0LgQVEL5E1RmErLCxUbW2t7r33XtXX19sBI856amrKHAkA\n583NzbZXwxksOjY2ZnouaHfkGvhOnWnKiURCkhSJRJROp1VTU6OmpiYFg0HF43G99NJLmp6ezklx\n4VCCl3JDwnrfeuut1sXNz89ra2vL9i2wb3RnZ0eDg4O2rc3tPl45iHG/urpasVhM29vbht0EAgHb\nA8slMjc3p9bWVvX396ujo0OFhYWamZmRJFvwhPWLzjgvL89M+xSo+++/XwUFBbp69aqeeuop/fjH\nP7YYfGc3zK7ibDabY18iNgyj+szMjIaHhzU5OWm4VmVlZc52L4gc6RhS4Iw4t6fxsHOJAmeA38HU\nszoTlp9OnoKHLUySsb50smtra6qrq7PkGfArCi0YpXS8xAs4AheDc4ysrKy0sAO6fF6TUzcIo/r/\n9AtiDPIKJ8n6+rrhwWg86W59Pp/JoCBlJNm/R9D9f/fl1PvxxYjL93/DRS+VSumDH/ygBgYG5HK5\n9Pjjj6utre2XWvb9xBNPGFC5v7+vyspK9fX1yePx6NKlS5aai0Wlvb3dwGXEsYFAwLoD6PeVlRXN\nzc3ZOMnybW5baHgYJWLRe3p6FA6H5fP5cjbTY+4G9IW5oktjzOLBjcVimp2dNWlJW1ub7rjjDktL\nYfShIGBRo6iD6UCcYANjlHeKZUlbBvMZHBxUIpFQKBRSWVmZNjc3bY8rXQHESGlpqbq7u9XX12e4\nCZ0T+i0AaaKIurq6DKeBtFlfX9fExISGh4cNG6PYgtWB4y0tLeno6EhvectbFAwGTYjKHguSfRsb\nGy1lGeZ3cXFRZWVlet/73qcHHnhAeXl5mpmZ0ZNPPqkLFy5Y5BS5cXzv/Px8NTY2WkoHUqFAIKCm\npiYjlSiOyF4kWegAr8FJroAb4Sml88ItUFhYqN3d49Wi4Fp0JhMTE5Jej0WH0EMQTMFl/Kez44Ih\nY498R8TBFE+SS/b29mwrnjOyjULJ84CzwknwcN5hkxFyo+1cW1uT2+3Oec+ZLpBDEbAqybzAMP8w\nzeCRnBsE8DD4LGRHBuTMw0ylUgY1MTHROZaUlOib3/zmGy9673//+3Xu3Dl94AMfsDHiL//yL3+p\nZd+PPfaY2WzoDgDhT5w4IZ/Pp7GxMU1MTGhra8uIDszGaIBWV1dtZ215ebk6OztVVVVlIshEIqEX\nX3xRU1NTcrlcikaj8vv9lgoCEYKFCDC7p6fHRqvh4WEb2QCQicBBFU7oJpvACAEYGhqywh2JRNTb\n26vGxkazrhFayQjhTMSorq42veDBwYFefPFFk+Rks1k1Njaqu7vbbnxif5zjMTctWib8r6SOIDFo\nb2+3mKqCggJFIhG1trYqPz9fU1NTeuWVVzQ6Oiqv16uenh7deeedBh3gC7106ZL+53/+RwMDAwZ6\nO4sC7/n29rYWFxctvYTop8bGRovAOn36tO677z41NDSYYHlra0vj4+OamppSQUGBPvaxjykYDCqZ\nTOrChQv693//d1uqBNlQVVWVszIwPz/fWGY++9HRUdO0IQthtGPKgKRxBhs0NTUZ209iC/tmkTjR\n3SGE3tnZsVEMl4LX69XMzIzpFAkQpYtBm4ZXd35+3vA+p5eYzgf3hyQLw+DiIGqMDpLLkPNSUlJi\naT50g5BkP1sqgI/QKZIsQ9fGa6MxQdiPUB73UiwWM4yOswTOCnQiKWcLXGVlpaLRqIn+/X6/Wlpa\nbKLb39/XI4888saK3vr6um655RZNTk7m/PNfdtn37/3e79mHi52GInP58mW7oSUpHo9rcnJSqVRK\n3d3dBsJjL1pZWbEPDQAa7VtPT48qKioUj8f17LPP6sknn7TElJqaGhs/XC6XyS0k2TIj9lc49V/O\nPaswSLBVdBl0Zaurq5qenrb9pXt7e6qqqlJfX59tJnO5XKjr0SUAACAASURBVIrH47ZngcVIKNfR\nKQWDQfMcIneZnZ2V3+9XR0eH6faQWmC0B4wnF43ug6QYBKtVVVUKhUJWEDwej06cOKG7775bjY2N\nunLlin784x/bXoyuri51dnYqHA6rra1N9913X84DcXBwYDrJixcv6ic/+YlisZgKCgpUUVGhRCKh\nyclJtba2Kp1O68aNGyZBqq2tVTqdtoSV/v5+FRcXa3x8XGNjY0omk5qfn1cgENB9992nBx54QK2t\nrVpeXtYzzzyjp59+WiMjI6qrq5Mky45bW1szqY5TNAxxBkAPUx0MBlVSUqJkMqmFhQVjHktKSky2\nQSOwtLSk/Px8VVdXW2AoTC5nAs82LCY4JJvOsF467WLs18DM7zyHqAS4wFktQEgoOj26zFAoZP+M\nFYwdHR05hv+DgwNjUBnfYfaPjo6MnEFbt7W1peXlZesoV1dXtbi4qMXFRXs+mOjALTlf5eXl5iyi\n44V1htiAVAyFQuZfXl5etucQwoWkHAixoaGhN1b0rly5ot/+7d9Wd3e3rl69qtOnT+uLX/yi3RYc\n8P/tsu8//dM/NWW4dCyI5MM9ODjQCy+8oPHxcbuN8vPzTYcVCATU0dGhxsZGE/xubW3p6aefto1q\nWG9Y0ReNRhWNRlVSUqJUKmVJLuiiJicnTZqSl5enhoYG08y5XC6LUEeQSnvuDGOkNc9msyZpgYkc\nHx+33a8/K8VobGw0IobMuMnJSRtB8Iey/5NuBaYKvRdZdqdPn1ZnZ6ctH/q3f/s3XblyRQcHB4pE\nItYpMgLyvxxIfLTY6G7cuKGJiQk98MADCofDWlpa0oULF4wVJ50Fa1NZWZna2trU19cnv99vgQRo\nDRm5Ee+Ojo7a6FNbW2uMuHMZzvr6unWfyGYQpj733HP6wQ9+oMPDQ7373e/W29/+drW1tZmWEdCe\nzEWyBCHMuFTQn/Gw8Rf6PDIG0S/yZyXlFGoijyBlAoGAddbYr5y7JsB2uQCRdxD+Ci7LCE2sVlVV\nlYU4oIFD6AuLTDGmMEy/FkYLztnY2KjDw0O7TClksLFc3pFIxFjoo6MjgwQk2TOIbAWJD7/z0dGR\n4ZBMdsADmUzG4tz8fr/q6urMUUTk/eHhoWZmZuyCpoFgBHfKXsCki4uL9Q//8A9vrOi9+uqruuOO\nO/TCCy/ozJkz+v3f/32Vlpbqscce+6WWfX/4wx+2dY+SzNJDaCSLTsbHx/Xkk0/qP//zPxWLxQxv\n8Xg8CofDevDBB9Xf32/dGJlmsVhMa2trlsPHSNLR0WFho+B10P3sGM1ms7aSEnaRaCaKD50puAy2\nHpKdWfUHzsAYXFpaqqtXr2pqasoOCN0IOXkA6rT+AO44CsD0wMu4Dff3922U4KJg5NjZ2dHs7KwF\nbbKcBzvR5OSkjXmAwV1dXbrtttt0++23q7293WKLsAv+4Ac/sOiioqIiS/Jlf8fa2ppmZ2dtzCTT\nkEXtOFpKS0u1tramq1evanR01PLYgsGgKioqlM1mlUgk9J3vfMfCXUtLS9XV1WWJ2qdOnVJDQ4N+\n9KMfaW5uznDf+vp6uVwu0wZOTEyYhpBLky4LDzZBoej+EI5DClCE0O2x0c+Z8IFMA71kTU2NrQdF\nxIx8g7RwxLrZbFbLy8u2xY8LCgwOETMMLbKWuro6dXd32+UOfkcwKsQRfnGKOfH5OEdoFnZ3d61r\nY4ct/410nDDDVjsIIIolBZTnkueKTEwuIo/HY00LXa/L5bJJigJeUlKilZUVc5Vw3pGLra6uGq5O\naMR//Md/vLGit7i4qDvuuENTU1OSpOeff16PPvqoJicn9fTTT7/hZd933nmn6aBYZQjjggWHuCPY\n2pmZGT3//PP6/ve/r5/85Cc20krHiRI9PT269dZbFY1GzRJFrDxdBNamtrY2E8Oy6hAKna4AaQps\n1+zsrOEbGxsb9sCVlpbaYcGHC2NGvBQJHujYCgsLlUwmLfOLqCLwKLfbbT5IOiSCKhkxSPHweDzm\ncqipqdHS0pL29vZy1PlYg+hyr1y5olgsJkmqqqpSf3+/BbHii0VAi0bu1ltv1cmTJ1VWVmYs5sDA\ngHmQV1dXDX9E53fLLbfYA+F0ELA3orm5WX19fVpbWzMsZnNzU+fPn9f4+LgtB2ptbbUub2dnRwMD\nA7p+/bqNQjx8J0+eVGtrq9xut3WUSIpgxZ1pxOzaRZrBEh6KIvhbQUGBRcnjy8VPLMk6PvA3Rmce\nRAi0WCxmi5xwRezs7Bj7i1TF7XbbaMsuEnYV40rA6kZRyGazOn/+vBYWFgxLo/g4AzuTyaSdpby8\nPJMQoUrAMsiYXlFRYc4fklTA1nEjMZ6S7M2OGwoUTQFKBbBT0qzp/lZWVnT16lXT2gYCAdthghCa\n5xQPNKP29PS0RkZGbDJ66qmn3jiRce+99+prX/ua2tvb9alPfco0dL/Msu+/+qu/MpHh4uKiGhoa\njB10uVy2ADmVSpn3sL6+Xr29vYpGozY+PPfcc/qv//ov/ehHPzKHAXsdenp6LKWDNxRigpG3u7tb\n7e3tqq+vN9Ztb2/PwkG5kWGSnTdZLBazogSDjDAUmQxdDCMlvxfFFK0a/57Ag3A4bBYdZC3gFhRl\nmFZGXtY/EouFhovDXV1drWg0qoqKCu3s7Fi4AfIIiBwcHPigvV6vampq1NbWZgm5JPeS8nLlyhVd\nvHjRsLH8/HxLImbXB/tfGbtwC2QyGbW3t6ujo8O6Xt7vubk5CxwNBoNqa2tTJBJRTU2Nuru7bXxL\npVLyeDyKx+OamppSOp22tZfJZNIKdzQaNfZ5ZGTEpEatra2KRCJW3Kanp22MTCQSmp2dNb1oIBAw\nYTfdBhcQoyIgPKwqOXDNzc1GyDHqzc3N6erVqxofH88p1NXV1ZJkZ6O0tNSmCBjc7e1t872mUilL\nVW5tbVVzc7N9hk7hL0k5kqyzIgqL88vUhAVvcXFRfr/foBSwZ856aWmpbSKD6IOZhtByFkeWaOEX\nJ3mbAgfZB87Ie83FBItNQafzxUk1Njame+65540XvatXr+qDH/yg9vf31dLSoscff1xHR0e/1LLv\nf/zHf9TW1pYmJiZyUhVI5SAOvbOzU2fPnlU4HNbzzz9vhxuAG60Usd1PPvmkvva1r+mll14yz2tH\nR4fOnDmjvr4+hcNhZbNZzc/P6/nnn9dPf/pTbW1tqbW1VaFQSPX19YpEIqqtrVV+fr4VZq/Xq6am\nJmWzWWvPSYpAib+zs2MjIzfe3t6e6urqTEQM0eL3+63tR9AZj8c1MzNjAlePx2Oe4srKSvn9fkmy\nsNCFhQXLu6OYkIbMg0dYJC0/ImE6m2w2a8Wbw4zmbW1tzTAgQg6i0ahOnTqlvr4+RSIRSxomsfrq\n1as26qHVIuOOaKzm5uafC8EkoZfumXAICBEcEcARXAZ0M/v7+4a70hFRkLFbccnQtba0tMjj8VhK\nz8LCgkX7V1ZW2ppOSSaCBseC3XVu1nO5XCYhYaRcWVnR2NiYZmdnzUYHkeT1ehUIBBQIBHTXXXeZ\nDCkSiWhvb08vv/yyXnnlFU1OTlpHBGTBYnggE0IeKIDj4+OanJzU+vq6aVJZVMWoTYIKBAUYY1lZ\nmXnT8SYXFxdbACrho5xl4KGioiIFAgFJMgWDy+XKCaTFEADmjTeX3MjNzU0L7qU0IUNhrSehG6lU\nyrbO8b2BW3Z2dvSlL33p5hInnzt3Tk1NTers7FRpaamNKvjoVldXNTw8rPHxcW1ubqq+vl7veMc7\njMEpKSmxtBPYINptNFzf//739fnPf946mbKyMrW0tOjcuXPq7Ow0EXQsFrNMOjRsOEHoAIuKipRI\nJHL+Gz58dufCTjU0NMjlcml5eTknFJEWvrm52TRP6J8IcQSHWV5ezpE6HBwcqLGx0bpSl8ulS5cu\n6fz58xbCGAqFJMkKbiaTUUtLi2677bacpdykUhOZRZDowsKCrl+/buMXIQaSjP2j2BOOwC5aHBTs\nzWX/bF5enhYXF22XL8t1qqurLaoI5htHSCKRUFFRkdra2tTe3m4E1tLSkuFZ4D/ot/x+v9rb2y1P\nj4dwd3fXRna8nbgCSOpG9MtZgGFm1whdGfFdjK+ZTMamEEZZxj2CCvAdswKSQFFIqkwmo6mpKeuo\n1tbW5PF4DJuDBQZL5D1Fy8m6SjrnZDJpEwf+4O3tbQ0ODuqll17S5cuXtby8bD538EXE1xRL5/iN\nThOvLdHwiOzBG/EX477A+okEiDOOxIpJxPnF6+bcU8QKCgpMyuZ2uy2UA9yvsrJS3d3dhvPSDd5U\nRe+9732vVW4WsDiV2ACx6+vrmpub0+XLl3M2P5WUlKilpUU9PT1661vfqjNnzigvL08LCwvWpsOQ\n7u3t6fz583r22Wc1ODio4eFha6nD4bDq6uoMGKVF5uZkvwH6J8B4mDaEnaRe4DJhzOT3pejhCgGk\nzss7TjBmdCTjn/RX0p23trZs5WFVVZW6u7vV2dlpG89GRkY0Ojqqra0tG//AAdlVgLSksrJSh4eH\ntvsC1TsdE84UdI5oANnT6lzOwsUArslNzwODBxhcb2VlxYTZFFKitPh+3d3dVqwoQPfcc4/Ky8vN\nqSHJBOv8rKOjI4M+SHDe39+34IOlpSVdvnxZr776qukI6dyKi4sVCAQs7w0wH6zUaYlCiAvIzmVb\nVlammZmZnMxDosn4/BhNSX0Oh8MmwSIolBBUOjWej6KiIhu3E4mELcT2+/2KRqPmxnH6WtH9MTqW\nlJRof39fQ0NDGh8ft88a/BINI55unrdsNmufI+Mxq0GJbf9FX7DNFEiXy2VWOQTRnBcny4s/nTQb\nSA8gATzFwENItAYHB03LOjw8fHMVvT/5kz8xUBufHmZ8mKiDgwMNDAzoypUrSiaTGhgYsAQJp5/P\n4/Ho5MmT+p3f+R392q/9mi1dWV9f140bN7SwsGDsVTKZVCaT0erqqsV/AyYjAeHWZiF2IBCwsRD2\nrLCw0DqQoqIiK4awxyxj9vv9hoOB5XFrU2AmJiY0NDRkgHY4HNbdd99tGWawzBz4WCymZDKZk3lW\nU1NjyRwjIyMaHh429wE+Vy4ZllpXVlZqf39fs7OzNqrjCggEAgqHw8rLy9P8/LwuXbqkqakpG3HA\nu2DTwuGwzpw5Yw+MM/lie3s7Z70nGq5EImH2OIzkJOp4PB41NjZaN7KxsWGJwyT/ulwudXR0WNHN\ny8szVhAGm86UHSuQO3SkxOcT/Q/ZBLwCdAJU4RzjGGnp1rGage8ykqMJpLusrKy0hfD7+8fLzEnp\nJgCgu7vbJCmIzEkQWV5eNn8wO2ph3NlnjNQGATPTBsWcUFJJtncGKc/29raRh85J5ODgwDBFOjgu\nArpbfnePx2NrNp1SKF4XUww+ZPZFI1WRZAQg34NGAfbY+YVshWBVj8ej8fHxm6vo/eu//qvW1tY0\nMTGhqakpiwxHksEuUnCs5eVljY2NWfQ6ndDQ0JCmpqZMKtDU1KSHH35Y999/v1pbW1VbW2sexng8\nbrIFLE77+/tqaGiwjVoFBQWGQw0NDVmacFVVlVpaWoxAWV1d1eTkpAUZRCIRdXV12YNCICJALnFQ\nxJzPzMwomUzaB4hLIZVK5XQZ7HVoamqy0Rd8bmVlxZg2GEouEYoxWCM2N+xlyWTSOmGKHblqTosS\nOW08NOjeYNe3t7c1NzeneDwuSYpGo2pqalJ7e7uam5tVWlqqVCplRaWqqsqy79gGR4gDbDGdEwuG\nGNUxtKfTacPRWLNYXl5u8fJo/MhCpJsASCfwobCw0BJqqqurjXkFSoAYomjgGuC/gxml08RVw0W1\nuLhosVstLS1qaWmxJUAwnVtbW5YawxQADACuhlSKn83FOjY2pvPnz2t0dNQkUk5HD0ugurq67HlC\n+0dBlWTFggkmk8locHBQMzMzWl1dtQuHlBfkLkhYEJsHg8GcBGS20rGnmCxKp46WqaGqqsqSYH42\n4QZGv6GhQdFoVI2NjaqpqTGsFrIznU6rtbXVuIWOjo6bq+h94QtfkCRbeuJcEgT2ddddd5mjgugZ\nt9ttNw4eV8iG+fl5y9qrr69XX1+fWlpaTCvEohjCP7e3tzU7O6uLFy9qfn5e8/PztoDl1KlTNhqz\ntwDsrL6+XoFAwPREo6OjGh4etjGB25xFOOBiAN3t7e05QZJo3xiBsUYRMArW1NLSYuA6hY4b3ilF\nwIIVDAZVVFRkdj4edkS+xPoEAgF1dnbmiE9ZQAO5wCi5ubmpa9eumR6OYg7YTVFhlIlGo3rooYfU\n29srr9erubk5I4LYU1JaWqr29nbzyBKkANuNTIHXl0qltLKyopmZGevqEZqz1/jUqVPq7++318zn\ngCeV87K0tGSMJSMhXT9+7sLCQkUiEVsRiYyDsc8Z/onWE68prgYSWwhyWFpa0vLysu1VKSsrs+KC\nlY6Jgkh58G+KFL5hijAdNPDI/Py8RkdH7XnZ2NiwAkwG4OLiYs7qyF9UDrxer6Vj454iSxCRcjqd\nttUNdGrO/Roej8cuds4rU0hpaamJkpmY9vf3zbFVXl6uhoYGm0KAliCNnBZXiJCtrS2dPHny5ip6\n3/72t60iw8rNz89rY2PD8LGVlRW1tbXprrvuUiQS0fXr100GwQdRVFRkYwTRTSRRkPdFmuvi4qIB\n9N3d3brlllvU19dndreRkRFduHBBly5d0uLiomnmGHXKy8s1NTVl+jG+UPTToaH5w2HC7wSOg1E7\nGAyqpaVFb37zm3NkHuPj4xofH1deXp4le7ACkN8fNg2NE9iN9PraPxZDA3YDVI+MjJi4G4IDK1Qg\nEDAtFjcoUh+WzSC7cblcmpubUyKRsMghCCHGQGQW7e3tuv/++3X33XfbQiRcApKMPKH7PH36tCXL\nYMva3Ny09xlPsSTrJJEU0VU0NTXp3nvvlcfj0fz8vFZWVkx3ByZHt0JXgt+UlJqSkhLbVSHJxly3\n262BgQHF43EVFhaqra1Np0+fVvS1eDBJ9oDyIBKjRtwTeBUXejAYtJEQzzB+1Xg8bp09PlikXZwl\ndoNEIhE1NDTYQvuxsTEr5Hh8CwoK1NjYqP7+fvX09Jh4HE0hX2j7mJZQGtCR4Y3d3Nw0BlV6HdNF\nSkVKz+zsrNks+fy5KPkdsc3FYjEdHR2ZH5vPhikPcwO7aHp6emxM3t7e1vT09M1V9L75zW9aQgM3\nICwW+BO6KzawQ1ZsbGwYtoVcAsaqpqbGUiRg0kijIF+OB4k49Wg0au6Dnp4e2wm7sbFhf+FVhTHC\nJ4s4lJQOlPwsg5aUs+eisbHRyA4SnouKihQKhdTf36/Tp0/bDgm8qfPz88rLyzPTODloAPY8OKSZ\nYGtiXC0uLlY0GrU9HPh6nUxhfX290um04vG4YUyMQOi4IFVIE+GW59ATrDozM6PR0VGNjY3ZFjlJ\nhoN+5CMf0T333KO6ujpls8drL3kA5ufndfXqVS0vL+ese2R0j8VihtMxrhLThazBKVFhBO3o6NCp\nU6dUW1trmi/GJ9JseIj5M+C92ezx6kQcG263W01NTaqvrzfRcSKR0NzcnMbGxiySHuKIcYxuE+0i\nXu2xsTEjm1h45bQJcq6AFMBGgXooQER20bEmk0lNT0/L7XabFAYpDTtU6uvrbTkSzcLR0ZHi8bgG\nBwdtjMcSCnSDb5a1luFwWBUVFeaThRRxWuvA/iDGCCRwNi24bZqammx6gAVm/JZk4b6siCURZnJy\nUnNzc0qlUvrWt751cxW9z372s3ZL0CazbBu7CtHVkmxsoAtBJ+V2u7WysqJYLGb6HlJb5+fnFYlE\ndOutt6q3t9cO/O7urokg8/LydO3aNbOy7O3t2cIbqPqamhpVVVVpZ2fHPizGGhJiIENo/Y+OjiwB\nBgxveHhYMzMz5gCAZa6pqbEOhmLW0tKi5uZmdXV1KRqNSpKNInRr7Krwer0WPcT/Mhqhr8OwzaiP\nnSiTydgIVltbq3A4rEAgYFIcWLuSkhLzmwIsu91u9ff3KxwOK5PJaGZmxg4tHeP8/LxeffVVDQ4O\n6saNG7YEyOPxqK+vT29961t14sQJ1dXVmfOhoKBAS0tLpllEjxUKhUxM7vf7zUvq9E1PTExoenpa\ns7OzdhYw+UP2sFymqalJXV1d9lmvrq7a57SyspLDgm5tbZnoO/ta3BI4IwQT+FZra6vZMmdnZ22v\nBLKpjo4OizsjkcSJMYJh8rPArXhP0+m0hRug32R8BjJAgUCwhdvtNuiEIsPzhcSJi4AOjbEVTSFR\nYqyhXF1dtecQ9po/z/mDdaUbY1RHHbC1tWWNC58TOkdi4lKplGl3/X6/SZzYwAa7zoUFJNLa2npz\nFb0//uM/NpCcNzSRSNhu0bKyMt1+++32QMXjcVNe8+Xz+Sy2iREUqQa7KL773e/q4sWLltrg8/nU\n0dFh3s/8/Hx1dHQoEAiYMR4/IG8qol8YJElmaULjJMmi4SmCdHrZbFbxeNzYVFwPc3NzJhsASOaD\ndwZZ+v1+tbW16d577zWAnYdlYWFB4+PjisViymazSqVSkmT4UjabtYfD6/XaeIQGbW9vzzpsuqOD\ngwP19/db2AIPg8/ns26T7WEc1mg0qrvuukv5+fnWuTlX8pH3Nzw8bHlojKK8NvSXFRUVCgQC6u3t\nNfyTws1og3XPGdfO2MsoyyKiy5cva3Z21qYHigDiZrZvFRcXKxQKKRwO2yWEGwPhPMWezgIbF3ZA\nZD7YsNCNOtcGYEkEgyQZ2xm8ihsJ5hfyis4ThpLfm3GX/SgNDQ028uJioGtCYwgOt7e3Zzg0e0eQ\nt9DJxuNxG+uRtTByUtzHxsY0/dp6T1wtYHN0aUwZHo9HHR0duv32222zGT+LBeGsM93b29Pw8LAl\ncGM93NvbswuOTX9cABUVFfrOd75zcxW93/qt37JFxi6XK4eBcrmOVzzu7u4qFArpxIkTam1ttVuf\nCB3GEyxT4Hm7u7sKBoO68847de7cOWNcWfl348YN64YymYzm5+dN+0OhAYyloLLyDwKCD4BujT/D\n+JKXd7wdKxwOKx6PW9fIFjTGZelYI/bqq6/q4sWLduDZ75qfn5/zM9ANcsAJ6qTrXF9ftxGezsHv\n95s8AF0hBamsrMwy6SYmJrS0tJSjuyIEggeGqCUCShntUqmUfD6f2tvbVVJSYsECsGmwyNPT03rp\npZf0ve99zzLycD+QxeaMaQf+YHxCKIw0xLlHo7y8XKdOnVJbW5tCoZDKy8slyYz5MzMzunLlikEA\njEpra2sm+OW1bm9vm5sFIXQymdTOzo7hs4FAwN5juhsuZt6XZDJp4na6NkZDp3iWQuQMX8V1wbkh\n3Na5vY/PEZkV5EQ8HjdoiHOLJMzj8djScTDZX1gcXC47eyRUw6Qi8CbQA70ryUIsGqcQIVzGtwvp\ngVh9a2vLukun+Jt/BgaI35YJBtfO5uamkXJoHr/97W/fXEXvve99r/lYeYgLCwtN8Mv/BzwnmYP1\nfsvLy7ZsGhEsHzx4Bnl0eD/r6+vV0NBgRQIrUzabtYeH7WdlZWWmkmesw/IWDAbV29trzgv0Tj6f\nz950RJsA31iyDg8PVV1dnaNWD4VClv7icrmUSCT08ssva3h42HAOOipJOSv3KisrrfixIhABL0u4\nFxYWLISAC4CiQqQSLFtZWZm2trYsqQSTOfo4Rl5uUzA2jPgEDTQ1NVkhI3Czo6PDFrtPTk7qmWee\n0Xe/+1298MILKiwsVHd3t+644w6dPn3a8vVYzs3Y39vbqzvuuMOYudHRUcNf0+m0hoaGNDo6agyo\n2+1WKBRSNBo1PV82m81Z4uPz+dTY2GjSHLR6nL26ujqdOXPGIu3Zp0zHSxHi4USBAJYLfry6umo4\nKIw0ZwNMtqSkxAo24nhkN4zaQBOItOnkgEqwzDHyoW3NZrOqqKgwyATnwtHRkZkAJicnNTMzk7PO\nMR6Pm8aToAgWu7Pa8ujoyBYtEZ/m1JSS5gPMAM4pHVvWYLAJFmWrHtIf0mRIcQ4Gg9aRO/Fr8PSd\nnR199atfvbmK3mc/+1nT+rCnFhM9ynsICToeWnQOF7KNTCZjTCPqbJfLpYqKCgsf8Hg89sGR/sBo\nuru7qxMnTigUCimTyZjuDBaIg8YNtbS0ZOMq2juwPNpv9EroD4liJ/RwaWnJFrnw90dHR8Yst7a2\nmsVOkiV0IJAlGsuZpsLvBfbDzb+9vW3LUsh4I0HG6cWlY8lms4pEIlpYWDD8DecAu3spMgUFBSaW\njcfj5goBKKdDgCzq7e01Yz9m+eHhYX3ve9/Tiy++qLm5OTsnnAUSU3ht0nHhDwaDOnv2rAmU8Usz\nAUBSgCPBZI6Ojtp4SS7fwcHx/hBn+s7GxoY99CMjI5boS8gqhnmKBtoyMGCfz6empia7jLmweQ10\nqKRV0007A0d5LpB3sJ4AxpMRFbb51KlTOaz/0dGRBgcHbRcKX/xM5EJnz55VS0uLecIPDg6sAXBm\nRBK6Oz09be4lJzZPAAEdIpMJO0FIHMfvW1ZWZp+FJCNSgFZIRG5paTEJDBfF0tKS/Vw6f6LzDw8P\n9Yd/+Ic3V9H7+7//e/OuErHO2ALASlteW1trYD1YEAeJW7yiosJuA1hIlgZhdfP7/fL7/XYLE+20\nuLho/tHW1lb19fXZyJVOp23pECMp36ugoMAK0ebmpgYHB21PBAp1LDVEg0ejUQOtJdkYBFPF/gGk\nKIxCFRUVttgGGQUHAcB3ZWVF09PTkmRmdDA92Ek6DCduuLOzYym7KOrplGZmZjQ4OKj19XV5vV51\ndXXp7NmzOnHihHWgCJeRCWGbI0HE5XKZjMLr9erBBx+0eHonRgvOefnyZZMFOQMpuShgMSWZpAON\nWllZmXp7e3Xq1Cm1tLTkBATAIFJE0enhpGBRTiaTUVNTk2GsiKL53BhjibkiTYeEZIIdGKuBOphW\niGrPy8szOYdzfzAXXWFhoS1sIpOQz016fVUnCUIEx1sRuAAAIABJREFUGwDoA98gOaJDRQsIKQXJ\nEA6HdeLECZ06dUpHR0d2zrjQ0avyZ9EGIlmClQ0EAgZF8H5xuWNAALvl0mCUhl1Gq7e1tWV2NDS9\n+J+BpNgnAjZMyvSf/dmf3VxF77HHHrOqD77Grgo6JUSGkqwolZSUaHd31zR54C0A4qFQKAdrYMct\nLBQYB+EAREfBFgLEYu3CHxmNRk2HhO0HgzeaNEz0PPiki/AXTgiKD2MJgmEYwYKC42XJFATGIWf0\nOIWA70W3SWeMngnguaSkRJJMdsJISkFiL0ZxcbG5J3Z2doy5dblcNqKR6tvf329gPWMbrC+d98bG\nhj0Ykowxb2hoUFNTk1pbW3Xy5El7eJeXlzUxMWGWKLpZdGTxeNx2Hnu9Xp08eVKnT5/WiRMnVFtb\nqwsXLmh6elqbm5tG4BDLBIYcDoe1u7ur0dFRvfjii3rmmWdMikP0fkVFhZqbmxUMBnOiwGDpkTE5\nRfPgzXSoSDfokJgSlpeXTVKFnrKlpcUW8kxNTenatWsWKcXEUF1dbftdkHDwvmCPRD5FESwtLTVM\nFi87HSw2TOLdCA9g4uKZQ2jP/yIIZkJBA7i6umqdIFOXM3CDaSkej9u/KywsNOIEPBzmHKKJXD10\nj9Kxu8bpjiJg1GluePnll2+uovfII4+YbODWW2814ezGxoYxq0hS9vf3bXEwG7pIOiFYEmElnlx0\nXNls1nLcuGkHBwdzEjPY2C7JWmduxMPDQ9XU1Kijo8MYJkzYxFszqlHoDg8PczaWoWWjI0HXxkPD\nYSSYM5PJaGhoyA4fomWKNckXZJQhK0G5DoCMlm5vb0/j4+MaGhrS0tKSPQjseWC0RlbBHlzwLY/H\nY0vXAZHpjt/ylreot7fXQO78/HzrutA4AkwjQOU9LigoUCgU0m233aZ77rnHHnyfz2e7RQYHBzUw\nMKDZ2Vl7z7LZrGUcZrNZwxAJSwXKoDOsrq421ntxcdEcOIRbFBcXG4GBD5iRi+zAUChkBQ8JCktu\nIBz4nNFoAilAIrCI/MSJE2bVghkdGhrS9PS0pcxw6ZIZB6tOIaUbQoIC5ru2tmaidEl2ATDttLe3\nq7+/3/BZIvnn5+c1MTGhWCyWE/UFBkfaMpcrhJOzOBHzxbZByCBYa/A+ujuCBCTZnyG0lu6Pc83u\nD7psVBBk7tEBArvs7e3pox/96M1V9H73d3/XRgbsVQcHB2Z+jsViZinCegVIu7S0pPPnz+snP/mJ\nAfBgOidOnLBlzFtbWyZcRPckySQyzpbcObriTYRQcYaI8qDU19fL6/Wa8R7sEO0SYyJMEgZ4Oktn\ngGZ1dbUV64KCArMWTUxMaHFx0ZhkWEMeakBvsJ5sNqu5uTmzMHE4SKTmUrh8+bIGBgZMhtPb22uL\nh1iGnkwmVVZWZtmCsNXc6h6PxzBKsBskDC7X8U6RyclJi7HiK51O20Fli9fm5qbq6up0//33m27P\naS3CMUGcPUX0xo0beuWVVywzDysTaxABw3/REX/729+ud73rXbrjjjtst4Vz+Q2ZfWBE6DEpPhRx\nZFd0IYyhXISJRMJcGIWFhWpvbzdMkE6eURmMmfH14ODAMG/GO5/PZxcPAQJ0UZBOU1NTGhsb09bW\nlrq7u1VcXGyuEqQ86OsY38EBGX3Hx8fNkohEBLnQ4eGhdainT59WV1eXPX/OZV9sJUQ5sLq6aknm\neHmBAJyaQGfkFBMb6ctMKTirkLXQEPCeeL1ePfroozdX0fvoRz9q7gvsWtD6rNEbGRlRKpWywsjy\nGJJFtre39YMf/MDSP1wulxnHfT6fiXHBNdB6wYJyc8P8wuwuLCwoFovlJFUwHq6vr1vyA+EESCpa\nW1tNe4VIeHFx0eQNpKZA0BBfxUPD+EsXV1dXp6KiohyBKIcWJi+dThvLii8yFArJ6/VakCM4Y11d\nnbk9+OJAE7W0v79vI3gmk7GYLKQCu7u75nGGKWPPx+233666ujrDxqRjzG1sbEyXLl0yH2hVVZVO\nnjyp+vp6W3yE1xf/Z1VVld72trfprrvuMnxtcXHR9nwMDQ1ZsjQJyysrKyovL7eE4+LiYsOhfD6f\nIpGI7R924nuRSMTGUCLJr1y5oqtXr2p6elpbW1uW4oJ8KfpasAJ2OroUzi4k0sTEhIqLi21FKJ0Q\noZ74ljkDXFZLS0smsGfpeUNDg3VIkEDOTEbed1KF8/LyLNSVII/S0lKDRMC+KO7Y87Cvzc3NWTgH\nnw1KhYODA128eNFWIoA7051yGUjHqgZCPTY2NnLUC2CtxE0hz2EbHBbDxcVFc3dks1l7HbiTampq\nFH0tfxBC8b777ru5it6Xv/xlG1vn5+fV2dlpy1fQEGFeBhTe3d21xTNsakejgzfTGT5Ie76zs2MF\nBcEw4uP6+no1Nzcb/c6HwSjmbM1LSkoMR8AszhgEHlVTU6NIJGI3XyQSsc6ARF6K6NramuWakfTB\nGLG8vGzq/J2dHcOW6urqLO13aWnJUlHw4QIPQOF3d3fnKPI3NzdNO0cRo0sBM6LLun79uiXYQNTs\n7OzkLFvCDjQ+Pq6lpSV1dXXZQ4y8gQ4J1vfVV1+199btdqujo8OsiOl02gIhsYXV1NTolltu0b33\n3ms+Ypj/gYEB3bhxQ1NTUzmrL/1+v86cOaN3vetdqq6uNjJncnLSosBIb8brnUqlFI/HNTs7aw8g\n3QUyKIo8LhqmEMT1Kysr5oooLy+3mHwuyM3NTfMvg/uhkZybm7PFQaT+sOt3bGzMIA6Kc2lpqZ1z\n1hNUVFTkCPxbWlpUW1urvb29HOshhRgvMrIwYvA529vb21bweBaYRhCDowsEC+bSBoYCC2fxFYQF\nsjR+djAYNLsoxZAJDSkQeObS0pJlMjqtcZJs1P7iF7/4xoreyMiIHn74Yfv7yclJfeYzn9F73/te\nvec979HMzIyiPxMX/+ijj+rrX/+68vPz9eUvf1lvfetbf67o/fCHPzT2dH9/Xy+//LJp4CorK00q\nQksP5lJQUGAPK+wvoxeYSTKZtAJweHhoJARvCNIGp2kaRwJaIjAc2Ml4PG6HheK4tLSUM6aAP/IA\noeMiIh3JB4JjMLeNjQ15vV6zVG1vb9utGQqF7EFHGgHrhg6QDqS8vNy6Worl+vq63bJut9uIho2N\nDZWXlysSiZidimLHqA5Ox6GWZMWW4grDDAaFeBfmEKaVRBmEwc5umcAJpA2873xesO50tSxBb2pq\nMk0bmjvYy9LSUlVWVpqVjO7p2Wef1YsvvqiFhQV7IGHYYWkhi3ATBAIBFRUV2TTBBeNyuSyuqaSk\nxKQ6R0dHplEDE8NATzQ9W+CYLiKRiHWBJFPzuaBPTSaTJqfCleIUREvHhB8WxoqKCq2srGhyctJw\nZvZ40FnzDIRCIYMyeD1glWgbJVnogN/vN9JheXnZwh5oLJiQeLbISXT6l+kQwa2dbDUQiDOJ2Zmu\nghTImYGIZCU//3hV5rlz5375Ti+Tyai+vl6vvPKK/vZv/1bV1dX6xCc+oS984QtaW1vLWQx04cIF\nWww0Ojqag9G4XC79+Z//uaqqqmzzE8t7WFZDFA03DrsEWlpazMWxsbGhyclJOxyScvZx7u7u2q5Z\ndkbggnAGZtKJSMfKdoBZsK2lpSXTrFEkvV6vQqGQFUluXby2vBZYNw4Ecg40WF6v1zBNRl1ngQN3\nhKVifELftLa2Zngk+AnMLiOp072C5ccZ9UO2nsfjsfyzbDarhoaGHH8jWGMqlTJsjdGI4ABkGBTs\n3t5eKz6MvID2TtlENpu1KCRYYvSCPT09amxslNvtNhiB9x7XBVhOfX29YZezs7NKJBImZGWPSDqd\n1oULF/T000/rpZde0uTkpLkjCLPNZrP28FF8sSSyFwJmkoRh5EZcfGDCrF1Ed0nxZK/LwsKCstms\nOjs71dLSYjq2WCxmchBSbJwuBTppJC5E0yMDO3nypH7lV35Fe3t7unr1qs6fP6+BgQFL0WbqAN9j\nmoIZpatjFIdJlWSfD2eD35kullGdDg/CjPRoZCiwyDhenJFjhYWFFufF5eC8DJELESFP04KT5v8V\ncfIPf/hDfeYzn9FPf/pTdXZ26tlnn1Vtba0WFxd13333aXh4WI8++qjy8vL0yU9+UtLxCshPfepT\nuv3223OK3q//+q/bA4P49e6779apU6es5X/xxRf19NNP65VXXtHy8rJ6enrU1tamjo4ONTU1WRrG\nwsKCxsbGNDk5qc3NTZWUlKihoUENDQ02KjrFvyQGk5zLw0hn6fQnsmSnrKzM0pbZLsXD7/F4jGQB\naCX1lSIAJkSnxthWXV1taTEUyOLiYpMC8GAT8U5OXXV1terq6uw1cXMzRmHNowPCJcJhghBBVzU1\nNWW7JUg3YRzOz89Xe3u7XC6XGdzz8vKUSqU0NDRki252d3dVWFhoGFd+fr5aW1vV399vqxmrqqoM\nN2QREgwjuzXotrAaUeRbWlpsKTxdKm4bwmYZtSGAWFpTWFhoDy86RSQYTsE2C2coNolEwjpb1hMA\nrHOJOqVVPp/PJhK3222R7nS1kBP8t2yZ297etph5vj8dJYoAj8djvxMQCa4ktKs7OztKJpMWTHF4\neKj+/n7ddttt6uzsVHFxsYaGhnTx4kVbIlVWVmYXsHMXBv+cMRO9KRgvF42zyUDwjO2QRd50pEAi\n8XjcnBiQLE5JDZAKKgpCJ9jyxucXCoUs2ABpFHmN3/3ud3/5oveBD3xAt956qz784Q/L7/fbsu9s\nNqvKykqtra39wmXfDz74oN71rnflFL0PfOADWlhYyFGls+Lv1ltv1W/8xm8YsbG2tqbLly/riSee\n0Pj4uDKZjBoaGvSmN71JfX19ls81NzdnBmTCKoPBoBobG1VYWKhUKmXxO+B9fr/fcETodOQrsIBo\nmcggAwxHLkKoJRiGy+Wy8SqbzVoBQ5vFgaBzRErDAwpYDmkCI4pWD4axsbFRd955p8rLyw0PAzuk\nsIDDIPJEvsAIFX1taTj7IehwJZkMiH0VMIiIWQOBgBFBFFNkJbxvu7u7VqTKy8sVCASs4DLq0MVw\noTDaOEXnly9ftjAFn89nQH0gELAuBdKFLjkWi2lwcND2fNCVNzY2KhqNGsuKvq2qqkp5eXmam5uz\nxBdGMKRK6M+8Xq8lXzPGHRwcKJFIGAFGN+NyuWzXcmtrq4XYsq1tYGBAhYWF2tra0uTkpAYHB21l\nZVdXl8VqUVj5/dbW1uycQYggMUJUPzQ0pNnZWUlSQ0ODTp8+rV/91V9VVVWV5ufn9cILL+jatWt2\nbvHMct5gYcEJCT5giRedIvpQJiHkJmDH6E/B5GCwgTkkWUQaelXOPp8FqgDn5wk+iDcZzWpJSYke\neeSRX67o7e8f750dHBxUTU1NTtGTZFE6v6joPfTQQ3rnO9+ZU/Tuueces4sUFBQYBsJIc/LkST3w\nwAO65ZZbbJ8Abw6t8ODgoP7pn/5JFy5c0MHBgdrb2w00Bvzc2toynd3JkyfV1dWlw8NDu0FIHSFx\nFu2UJJ0+fdrwv4KCAkuTIM6bUZGRmvaeWxDvLu+Pk03GToTNicIIroFLgCLj9/ttrMvPP15NSUIL\nD+fR0dHPhX2SKch/g5wHJnlmZkYzMzM6ODgw9wddJR7bQCCg8vJyGzHRVKVSKetI0GQxtoHFQXQQ\nM08RBgMETGd7lXTszMDmt76+bu+r9PqiGUIkgSN4KBjV8T4DOVBMnVgZIlt+Tye7CmGFJayioiJn\n8ToGeGAbxOAtLS22mzcQCJi2bH5+XoODgxobG7Nzh9ke3Bomm0KPV5rVpBQC3g/nsnF+HycLLB2v\nQrxx44YRJfPz85Kk+vp6nT17VufOnVN5ebkSiYQlbDMh1NbWmsa1oaEhZ4EUOB/PTDqdtkuLEZzz\nRxFyZgHCzDJpwR4jXaGzhdmlm4ahRtoCPr27u6vt7W3beYwX+Jcqet/5znf0la98RU899ZQkqbOz\nU88884yCwaAWFhb0pje9ScPDw/r85z8vSfqjP/ojScfj7ac//WnddtttOUXvr//6rw1Ux640NDSk\nubk5w6aCwaBOnjyp9vZ2Kzy9vb0WBcXSZOnYtEy0DeGbV65c0bVr17S6umppy7W1tTpz5oz6+/sV\niUSss0FVD5OJGZyDeHR0ZB0e2ij2cyCYJVGWDxncD+M24xPjdCgUUltbm3UnR0dHxiAeHh5aLBBs\nGFl1jMB0bmBjiFKx9ZGZhl4R0iEvL09tbW1qaWkx0zeaOSLrU6mU3bRO9wgPJdZA0pYrKyvt5xJ6\nya5XCoVTYkN4KkGldNx0CGygozsfHR01PEeSjVWBQMAEsPw9W95IzAHD3Nzc1NTUlAXO8lnm5R3v\nwqUjraystM+ai5kR3hnsWVRUZDgmeCdrCehWwYN5LchFGMkZhZ36x7KyMvvc+Z6BQMAE8plMRuvr\n67p+/boGBwetA2ZHBEECOIf4PJHQXLt2zXLqIJre8pa36PTp06qqqtLm5qbGx8d18eJFTUxM2LkD\nK8bw7/f71dPTo3A4bBKp1dVV85QDWXAJ4UAh7MHjOV4qTggs0AZhGs6FXbhawE7T6bSdLUk2PsPw\nFhcX68tf/vIvV/QefvhhPfjgg3r/+98vSfrEJz6hqqoqffKTn9TnP/95pVKpHCLjlVdeMSJjfHw8\nx2Ppcrn0jW98I2dkI+1jcnJSFy9e1OXLl22Ea29vt4cDs/XW1pbdQo2NjTY6YC53EhrSMev8/PPP\n67//+781MjKilZUVW9HnxGEQVoIBOUML2RpGgaJgcLjYrYqAlYMOu4rSHPbNmayBVpHbDWwQZpQH\nEJGz9PoSZP4dJmwi7pExODV2jNVIK7gpwWEgX3BfQPAcHR3ZmCe9vnSG14AujcNHoZRkTCNhAIxp\nJIdQBN1ut3UDjE8ul8ukJoi8AcJJsCb4NRgM2s9JJpMaGRkx6Q/HHHkHWGBtba3q6+ut2B8dHeVY\nCtF1Uqyw5x0cHOQQLrC0u7u7Fq3EmZaORzcK4NLSktnyGHtPnTplLHA2m9XCwoKJwSEAksmk3G63\n7eslwHR/f9/OLrgcQQ91dXW2zQ9YI51OG5bKcvDBwUFbGRAMBtXU1GQrFtfW1nL83UhzgGzIPywp\nKVFbW5sFLmAd473lr7W1NW1tbRkMRPHneebMoRMleYWunM+R80RSNl0unfh73vOeN170tre31djY\nqKmpKWOKksmk3v3ud2t2dvbnJCuf+9zn9PWvf11ut1tf+tKX9La3vS33h7pcunLlisV/I1KWjilx\n9lDcuHHDlPYnTpywXxYdDm+idNzpgV8gNaivr9ctt9yihx56SGfPnlUkEjFpxsLCgiXzoi3CfhaP\nx3O2mHHw8f6iMWK05AYrLS01EJrOaXl52RhdQO+dnR0rmKj6IQJITWacWVpaUiwWM1CYrogFRchZ\nYCuR0fC5HR4e2pgF/ohBnkw2DgxdIUXViUPSFWEUxxmAlY8xkBgiDikXCxjX9va2jcsA+6urq6qt\nrTWZDLIE9HEFBQXa3d01xwQxVuTbEe7JBcNYBUOO75kHjREJD+rh4aEVRj7nbDZrRZvodwoquG9l\nZaUKCwutS6HjJ/Qzm82ajY2Em1gsZho9fn/GcgIB6FKRMlVVVdn4jPsnGo0qGo2aNGp5edkKaUND\ng+0jLi4utqALMFLCAiANGDWdP58NdYRRsG4UEwH2OM41zhG0cnwmhN3y2eBu4XPyeDy2q5fXsb+/\nbwvYEUwDlThDLYBwnAvr6R53dnbU29t7c4mTn3jiCdXV1Rn7Mjw8bGGUZOGhCF9ZWTFZCLQ9avb2\n9nbV1dWZX/f8+fOWksvtBl5Ea3727FlbhkKxc1puEHLSuWHn4qCSPsFtI73u7qBzA+tzuVyqra3V\nzs6OYVt0CwR6oqNzrgFMpVKWEwYxwZ8hjcOZQ0jhY8ctnSKaNh4cDO8sGGKkd7KKdBtonsCvUOo7\ngxboiDC6FxcX24XBGEeBJ3rJKelwdlgw5UhLCNSUZO8JDxAjO3gPwD7kC1pLxn0kNc6IfR5eOhMK\n/8LCgoqLi22hD0WAOH6nqNmJDSJL4iKgoOBpLi0tVVtbm+10JngUwqC7u1tdXV2qqqoygoBRmjEP\naREdExOOz+ezaYZEIOLms9msFT9cO6WlpfZc0PmRuYjcye12K5FI6Pr167pw4YIV3FAoZKs2ndIl\npgsIC/DMnZ0dW8HQ3Nxs75skgzuQmzgTgSjOTlgG3SSaQieueHR0ZAnkPp/PNvz9XP35/6voPf74\n4xbBhP6P8Qmj+6uvvqrr169rZWXFctyce0gPDw/N/lJfX2+ZeMlkUlevXtWLL76o4eFhe5jpjvhg\n6+rq1Nvbq3PnzhkrBTiKDpAHMpvN2m1OcEA4HLZii8SluLjYbntYZiQXFBMiurndGdmQuFRWVtrK\nQToJDgIfF1qkrq4ui5uKRCImSJ2amtLU1JQWFxcNl8T2RnF1+hTBNTOZ48XWi4uLlgkIW0snRBHG\nP0zitPS67AdWkUIrHfsoa2pq7HfKzz/elNXY2KhsNmsFw+v1WveFdmx1ddUSYFgjCIaJ7SybPV7g\nEw6HLV1nenraVmOCyYEd0bl2dnbmxBhtbm5aFBQFE5sfnQyaPGdAJp2MJCvYBQUFmp+ft3GdyxMs\nlmh1Xh+4HouZEMJzISA+p2Osq6vLiUWrrq7WxsaGBUxsbm7mfA9wy4ODA8PSaCAIIVhZWTHLIIWT\nyCvCEWCEnZeYy+Wy0Fxn98xFRkLM5OSkTUksJgJeYUzHMkrXhjSL0ZqmgCaEhBYw9eLi4psvZeUv\n/uIvTFFPF8aoiXYKdnF8fFzJZNKwKqKT6A6cyQ8URx7U8fFxzc7O6vr165qYmLCAAueuVpfLpZaW\nFkWjUdXU1NjGMPQ+JN8WFBSYULK8vDzn4aFjhCmE4VxYWJDL5VJDQ4NaW1st9pxWnBGRn8fI5vy+\npJHU1dUZq0jHS4HCs0tEVEdHh3XBV69eNfCai4IOzfmw0gn7/X75fD7rdhOJhIWRSrIugO9FLh+F\njJGNsZ0QA/SL4D+wcHwfXgdSBxa1oz+UXhcJ46tNJpP2oHHD02mAySJMpwBjVePBRDOGbYzXy+/k\nTADJZDIWBdbS0mLeZUz8RD7BRMKY02k67ZIQXnRaOItgbDmn0rEzCskIIQ2Dg4M5OYH5+fk6e/as\nGhoaLFHcqXfkPC0tLRmeVltbq46ODutUy8vLTeWAR935xc/b29sz/SJj5/7+voaHhy1OHlIBeIEE\nFLL26OS4/HBSQFg5HVLgrBRvyBpUDjhlCBZNpVJ64oknbq6i96EPfch0NoD1jY2NFomzu7trIwW2\nHm4mOjYkFnRXqVRKh4eHJo/AjkTSyd7enq5fv66XX37Zwii5WRobG03d7vP5TB9Fcm9eXp6mpqYs\nfocHEWYVpm1zczOnnWenBi04wL0zMJGRgBDEVCqlubk5yzbjMLAHBGsSkgxU/3QBGxsbxmpxe9IR\nMAaQQba9vW0PJeklCFXBLnlveXCxE0GqIDnAeYKjZH9/3wo8oxTkysHBgRUB8tc4G/iQg8Ggjcek\nO8NE7u3tmQ8ZiAF8EPkNDDppNpAkPGh4gUnTjkajli3IzlW6TDar4T5At+b3+xUIBAzuoFOkSIbD\nYYNB6EwQkNNdw9YSdoAnORgM2vljwdDa2pri8bhisZipFYgrA1NFw1ZTU6OHHnpIp06dUk1NjWFw\nYNZ0RmgO0XBC2lRVVSkSiaizs1N9fX02HYC5UrQ5h9gL2ZaGHAX4BWJsb2/PnEROmyNkGTIx3jMu\nY4T9OKhQNNB8FBQU2Dlzu936P//n/9xcRe/jH/+4KisrVVNTYy0pHjxSjTnggJsEGJI2nE6n1d3d\nrehr+w/q6uoMOyPq3eVymUmcYES3262RkRFdunRJN27c0PLysiSZxSkYDNpt4fF4VF9fr7a2NpOl\noBPLZo83UAGuo6dD/BoOh1VbW6vt7W37fXBBgP1VVFT8XAFgHwc4HXo456HinzF6kyqDXg1wmeJF\ndBGvmcuEBxV3AZ0XySJ4i0lyoatDhEwUEoJZ8EQKNL5TCiQ5bTwMwAOMvkgY/H6/vc8ExYJ1OZOJ\nJVnHEgqFrODzZ9khQsGhG3TGj2UyGdPP8TCi23OGxjKiMn7zxe+BZzmTOd4QxoRAtwKD39LSYsQU\nxI8zpozCNz4+rv39fcO+YWJhOZlIIBO4HPGksvSH94/9x4RaMOKur68bYeS8ONmtkU6n5fV6VV9f\nb4x3VVWV5eEhTqfYOJ1WhYWFtutic3PTUoAk2e+bzb6+LZDpjXWb+MdJGeI1OhcTMXqjh8Qf/KMf\n/ejmKnrY1OiIOISA+319ffJ6vXY4BgcHNTs7q4qKChtBstmsEQPgZhUVFcZSgZXhxcQOhIAXQHxk\nZMRwClIwOjo6dMstt+j06dPq6Oiw0RkpClYuyAYOEZIQQHseeEnmn8VfyAOHhc3tPt5Chg6Lm46C\nhziWW3VlZUWVlZVmDeKwcZAhVpxR8aFQyGx4dJJ0YIyYyWTSEjbwYpJ8gYaKYgpG5Ha7rSDD3OJM\noKBzCZEdyFlA8sLr8Xg8mp2dtS6cggiwzwNKUjQPRzwe1/RruxsqKysVDofl9/tNWAtpQLwSchII\nLUZlCC20ZkwXFGVeM50nhZnLjGAKIsYQRlOAFxYWDAKgOyEoAciDjppx8saNG9rY2DBpDjuRgWNI\nYxkdHdXi4qJdJESycWHx+gjeiEQiRhYhBicBmwsY5hxsFGM/SS1MNFzkHo/HRmsuKchJCioFkS4W\nmVg2mzWCB0ydCYn32JlcDlHDJIVSoby8/I2nrPx/8eVyufS+973PHgpm+NraWqPGd3d3VVtbq5KS\nEu3t7dnGqxs3bmh9fd3WzuErra6uNlCbN4GxjIhzp84KHGhvb0/xeNySi1dXV00HhpfUiQ3deeed\n6u/vt4eQh0CSdTnYqmBIsZEBYhONw4g5MDAANQnRAAAgAElEQVRg7BzZfJFIxIoLQkwAfzo9uk7I\nCBKAcYpA+jBucKGApXC4KOZ4eqPRqJaWlmxMysvLszhuxiKPx6Pe3t6f04CBeVEE19bW7EHhi/2/\nmUzGDjavIZlMGlEBRsZrgNypqKgwP7RzATeFjTHO+VnSgTgvIexndN/ILhD71tTUKBgMWlclyTR6\njHSwz5A5dISA+Oj3uBj5++LiYoNDsKux5Y9noaqqysilQCAgSZbSkkgkDCrgIef3gTFdWFiwVGRn\nyCiho1w0XCqhUMhEx9Fo1ORYxcXFdp4ZSclVRE5VXFxsn49TiMwlg7sDh9D6+rqdf1QbbI9D+4me\nku40kUiYDXN1ddX872Di/O7ALZ/+9KdvrqL3yCOPWDHAKcGBKygoUHNzs9lZiJOanZ017x2HIxgM\nGjvZ2Nhoqwc5ME6NlsdzvMSb2HfGoO3tbQ0NDZn8AZsQB5eiDKhOMYxGo/ZBgkGQKMGNKskYPrRW\nPp9PbW1tqq2tNXsZXS0fIr87Y1wmkzFDNa09DzykB4wpowUdwMrKSo4EhY+cUReQH8/m/Py8yV3K\ny8sNMwTPoTOjMLJrpKysTNFoVJKsQ+TzhRV3dovosHw+n8mTEomEGfV5zfic0WDREbMBDC1cJBKx\nThcwHVKLDoGCzBmi60BEi2Yxm83ahQIGB3tLNBjyGJwmkFmcG84EXmb+3olfw/KyT4QOi/cOXSHB\ns1ziwCvAQoyE4McUWH4vOmRJhqGtr6/L5XKZZAevO+oFzj0aWqdGlBGfC8lpDcNDiwcXEorLmc8h\nGAwq+loYKz8bN09eXp6Wl5cVj8ctV7OiosLWIUiysZr3Z39/3zL69vf39Zu/+Zs3V9F7+OGHzS+H\n/KCpqck2xWOJYgyDqXQCxWAvYB10F5WVlbbXoLy83EztjCF0CggtuZkIDp2bm9PU1JRpl2jrE4mE\njWDIZjhgHLhwOKxgMGgBCPF43L4/RSk/P1+xWMzSYvkLnRte1OrqaitiiIopFNIxJoL8hF0DPHzE\nNfFeuVwuI4Bg5SBhiCIi7RaZhrPzAdeBmOB7wPjxftPFIj1BloQkBMYP7IoHiO8HRsUuDad0BfyQ\nZBDGfrp353Ic/hsKE9jkwcGBAfBEvldUVMjr9doZoSukAMG2ctlRBCUZLs3oylQgSUtLS5qdnbWR\nHcZ7ZmbGuiPE5ezaILppZmbGcDB+dyLPstmsEomEOSTArPv6+qyTPzo6MiKKIAQ8tezroIj+bLCF\nE/eleMGK89kfHBzI5/NZZ0jxJ5WGSDjCC0hYIbTCiddBeDU2NioSiaimpkZNTU1WsNjH4dS3EqhB\noYUgKSwsNMfH448/fnMVvXe+852amZkxz2RbW1uObIEYGeQDbGEnMZU0C2505AEId9nTin+VfQVO\nlT9aKDyysMAsX15YWLBNUUNDQ4rFYmYh4wvlP7gYnQS4Vn19va3KIzwRfyQd0OrqquEujK+MTEVF\nRWpoaFBvb68JtHd2diyGHhKELDJkD05Wmqh6blJwFrpPOihud7AZigdjI8UMSxIRTVjnIJtwBITD\nYctAYyxirF1bW9PIyIiuXLmilZUVdXR0WPQUmCVC7VgsZjDB5uamvF6vbfiCPPJ6vVpaWjJZB/ot\nMMVUKmXyIzSTdHRIIzgrYL/19fUmr3CuHoXQApdChI6WjPUD+FEpKpw7shDRSZKLh5RHOta/cQY2\nNzfNuVRQcJxvFwwG1dLSYpo72FLStCmgaNoYMenmwcO4POgevV6vIpGIbXlDW4g+FWExEwIrLGFU\nec9oQEhUxu/s3AfjzNvzer3W4DAWO4Xwzi69sLDQks9ZL1BUVGQrGpgE7rrrrpur6H3uc58zUHv6\ntS1QdG0VFRU21sG4ccNyYKanpzUzM2MMJB0b4wldS2FhoS3xYVR47rnnlE6nzTkhHXdIKPid2AzU\nuJOxJO/LubCFBFi8nBRQNlYR9InkBF0TtzidB0JqpyEbISyjPjo7gH1wHYBgxhn0Zdls1qLoCwsL\n7YbFneFMKobY4BBBpmQyGZNQULScinm2vfF+Mp5jEQoGgxahD77IWIxVjAdnb2/PunV2AdP9kY24\nsrKidDptHlC6E5/Pp7q6OtXV1amsrMwWUDOi0VFTgFkkBAEFk0lhg7CAmOC8EbAA2M/nifoALynL\ncSBFwG4plPv7+1Z4wKEJHXXimpwNMFBkUgiPCavALwtux65kj8eTw3iDO5PgzMQA0cZOCjplzgiu\nFCYGpGS4JShYzpQVXgufEfFiECZ0hfxOJKhzEZOY7Ha7zToITgw2yeiO+L20tPTmW/b9pS99yQ6T\nJNNqbWxsKJPJ2JjIeLS3t2c4Hp3U1taWLl26ZCvwiPZBjIo8AZ0eejFngCgAbzAYNAU+2BX4EW86\nia50GESA4xWenJzU8vKy7ZAIh8Pq6Oiw4oocg46Em9/r9Vq4gN/vtwQVbkDIFozXPJRIYLDRMUbw\nxfejoO3s7CiRSKi+vj5nIxm/M6MlMgQKBcWb8YTRDHkGDwcHHNEwHSWHmYeZEYnCwo0PkM6FAeaK\ndhBRLrgnxnoIBR58ujFGUBjg0tJS69qAJnZ3dzU9PW0gv3Tsh6bDpavh8uD7gGF5PB6LXKcz5jIC\nayVYwilV4nxBbDjtbE5JDlgkzgZnRiNTEr8rSeOca2f4A7Y//j+flyR75njOYGsZ1+kaSdSRjgM8\n0D/CzHLZ4hRpbm42Zt8JlVBwsY057XFMbyggIHro8HgPgAt4j5wXGZf6Y489dnMVvW984xtGfTOT\nc3D8fr8WFhYMk0EagfTEuaiYqOmtrS1NT0/bmBkIBEzAfHh4aKwfjC03bFlZmW1/l2SjcVVVlR3w\nbDZrC8OdUUs+n89eP7c8HyzpFWxLY9xsaGgw4SikRywWs4NxdHRkYxc3Wl5enkWNc1hp5UtLSy20\nk26WQFPEuozr3KAcHOdyF0kmIeBSwN/Kw40Ql9gfLF58HkANFRUVikQiam5uNkwHxwxSEQoegD0P\nPD+ntrbWukhIATpjrFLxeDynm3SOs5JypCkUDzp8Lg5GIaYFxOyM4yyz4b+hcCE/opjgiOBsIbPg\nfUU3iHeYDgdHA38GKZRT5A2z3tbWZno0r9ers2fPWneKwwLctbCw0AqNMzwWQg/mHL9yJpMxXK2l\npcWgBITZs7Oz5mThOdje3lZzc7OJiXd3d+3ig8wAomHdg8/ns4ABxuPq6mpzM9EQgK0iSUISBsNL\nocOxQuODdvHo6EhPPfXUzVX0Hn/8cWvvEbUiNXFS/ow76XTa9kjwhmMhcsZ8M2oy3oZCITU1NVk0\ne3V1tUlYsOqMjY3Z1i5GkNXVVZWUlKipqUlNTU3WkfKmAnCDIYAPgt8hpkR/yAHHfsQDKB2nYnAD\nYlRfXl5WKBTKWQGZn59vejefz2cYDWEE2WzWxk/IgoqKCitSjFjgochTOjo6rHuVjpNuiC5nHKIj\nAteDGCF8oaioKEewTAGApMKJwq3u1PshqQGX4qJwSlD4WYz76+vrmpmZsZTjxsZG1dfXSzpmGXGw\nwOrxQDgF8BAXwBcA4Fgbed1kE1ZWVhqRVVlZaQwqRRp4Bb0fFw1dKg+spJxzDuPJ93a73WYVgwDy\ner12WQD5OCEAVAYscOf3Ki4uVn5+vmpqalRXVyev93iNKKQY5xFWlS5vZGTEdmWUl5fbmUOIzTSF\ndzgej2tyctJ22mazWTMM4HQibZvPENF+IpGwixF8lmedbry4uNjOBng5LiOE/MRMoch429vednMV\nva9+9atG/1PEsJMgcyBbC8cG7fnh4aHW19dNvgG7WFRUpBs3bpgPFTkADom6ujpVVVWpo6ND2WxW\nsVhM8/PzdiNzA4LVsYehpaVFoVDI1N7cdoR5ohJHWQ9mQ+KJx+MxlwJjC2GWHGYWtTDOI7ehGwG7\noptDWsN+AeeWN6eKHbkHnQ6jLhFDyWTSLF9IHCRZd01mHRcBoQvEsXMLg59KMiICkJ4YKjBNcMOa\nmhqLk2L8A0dEsEs3hbi6pKRERUVFhgejudzZ2TE8CfkGOYYUBDAr3CZACThEYLNxIjgLE5fyz5I9\nwAxoxcLhcE5wBnoyfhYdCfrDo6MjTU9PG37FqM+UQWeITMYJJ7Aukc+XyYjniYDT1dVVcylJMsKQ\n140kDP0hqdZcXJAxKBmcGX5OQpBCdHh4aEJ6VBGxWMy89YeHh6YjzWQypnwgQebg4MBspHTSYLVO\n2CKZTObs3MW1QtH/yle+cnMVvc997nMmk3AKOjkQRUVFNs6UlpbabgFGHpfLZYp6QO6BgYGcpSK7\nu7tGwTsN6OTZoUMrKyvT8PCwJT+wBQxtGewe4xr7DK5du2b6KUITVldXDV/hA2aBC3hVYWGhiXAJ\nKODDxaFCoCM4B5IVsDf8prCUPPBgT9Lr3QS2PszZ4EJOENiZPNPV1WV7dvnicAIl8LAsLCxYl42/\nlVE0nU5bF8hr4t/zPjIOUiD29vbsgfjZTg+ML5PJGMboXJ5Dp89IinQEGAJJC6wwnQzdOIw2OC/S\nDPRz1dXVJsOBPKCDpXNB38nohniZLhNbFuM8xJtz8x0htWVlZSbqdXqXXa7jhGDnpci/W1lZUX5+\nvslV6PgoauBe/J6STO7Ds+nxeAxSYCIidQZNJ1IZLlynMJgklOXlZT333HNKJpM5S+jxKXMZQRyy\nmgCsFowUzJvnGUcJvx9TDRIb8NK/+Zu/ubmK3h/8wR/YSMVCbt7oTCajmZkZA2H5iyXQwWDQbjM6\nM3a9OiPo19bWNDk5qdLSUsOiwC7AzehU0CwxEhFXDovKrcf4TFdGEYJ5297eNp0b3kSnOJibnBSR\nUChkOXWsm2QBOg9bOp22ZA9uf3Z/YtTGgue0SRFESZCAdOyPpAjSbUnHRQ1gG2aah4f3gtfMZYGT\ngeIKzgeRwXgLhkPyCHgmxdZJ0CSTSU1NTZlZHftXfn6+Ojs71dDQYJ9fbW2tsXkzMzO6ceOG7Vfl\nc8J/y2jsHBkhGND+EYEEFkh8USAQUCgUsq1kiNQx6zNSYZViZGRrHJMEnnFcME5FAQw8xXxjY8OS\ncbAqwvpzlhj90K4h1Ka4c9EzjThjtZyYdVNTk+GtiOed+jzwX+feFp6pdDptRceZlkPnRpHlZ6+v\nr2t+ft50ryTAOBlZGgg6dVQDTH08c5BtzvQlhP17e3v6u7/7uzdW9B599FF961vfUl5ennp7e/X4\n449re3v7DS/6puh9/OMfN6AzmUzasmUKnFM2gu6Ihw+sDEU6hwSgmIXU8Xhc165dM31RfX29+vr6\nFIlE7GFl9ECAilmbDwOsDVEnD34wGLROkATag4MDG6s4zKurqzaWIEcAh4MlRb9E0WJ04gbPZDIW\nqprNZu1DRiZAl5RIJAynwZ8JzsRIRmfktIUBWJNCzdgC7obHlFQYJCwkWDuZNS4uPlc6HcYtdHSk\n5zrtWGBgJSUlOUuBKBLgOXTOjHMUYR4ICuHKyopcLpeCwaAVH9YD8GABgaB1RIgOYSUpJ+gB3A2X\nytramn0mECSQK4FAwDoacDiPx2M/ixGRjti5QIeixnOwsrKiiYkJHRwc2BmiE3YKuBHwc4EmEgnr\n0sC6wTPpjLAbEvwJCeiULSHkp9kgcZu4LUlmo6yurjbpEr8jeYR0rTwjNDnEa01MTJh9c3t722x3\n8/PzVpx5T7BiMs3t7e0pEAgYbvsv//Iv//uiNz09rTe/+c0aGhqS1+vVe97zHj300EMaGBh4w4u+\nKXof+9jHrPqjdOcN4CElXKCyslLS63tCkZ3graTLcbJqCHzxhdI9LS4u2njb3NysaDSaI9ylPWb0\n4gNljIC1BZTFasaNB37FaA4F7zTuo69CnsDNTevPQ+oc5xjVAMpjsZhhhIwD3HR0UOAqPT09ikaj\nVigZ5ZAOkG7h9MoirOYAQ74UFhZaMUcNj+wCsS4doHTMoCI7oBsgnw+YAiadQuT1eu37Q3Aw0oEf\nYinkgSZEkm4KnNflcuUY6aPRqAmo6daRPzAy8ZqI4gLL4iwdHR2ZfhDCjc8OQTHeUs4DIzZBqZLs\nImLTHzIqJ2TBSJxOp+3zRJrCn4cs4ZIE/2xsbFRzc7ORYIy1sPWcW4hEsLBMJqOqqiorMHSR4NbO\nDpAAC1QMXHpgoJw5uj+eXSANp9wKfFKSFVxcTG63W/Pz8yaTYcriPcBrDRx1eHiof/7nf/7fF71k\nMqk77rhDL730kkpLS/WOd7xDH/3oR/WRj3zkDS/6puh9/OMft8PmzLznwy8sLDTg0+PxmPmb7q6j\no0M9PT3KZrNm9wKM5n8BnmHHaJ3T6bTGxsZyhJmIikmnHR0dtXQS/nIeMAS8FBzYRYBnWDluYDDI\n6elps1/V19db4CNuEWeH44wyl2SpuIx+FHOKAUSCM0GlsrLSUjcA7BFU85CjnudhRFEPxsqNTOoy\nmi3+PPgkaSRut1upVEqzs7OGtTDuZbNZ1dbWGu5C7BNdFUw0rDW/L+A2XQkLnCQZ0YDOjvE9kUjY\newH8AJYpyYiqzs7OHBIAbJERkaIzOztr+DDvN/gtfyHNYE1qQcHxPt3V1VUtLCzYiEpBAf8idh2t\nHDim2328mwQIxBk0y/oCCg0rByDPnFglkVtOkoLutaCgwIrJ/9XeucVGXpdv/JmZTttth7bTTjuH\nHma67e6yB7ZdWEGNiAqreIMHYgISggFM9I6EqIlXRCOIxKgQE4JKgnghNypesARjghJiZIEFCbt0\nO22nnc6h08Nsd3qeaX//i/4/7/6G0z/hL7vN7nxvgGV3+zt93+/7Ps/zPi+qglwuZ3Iasj00ewRy\n7NuoGvi+SAi4ZklGDiHE5yDFzKClpcX6f0ulkrLZrGWTfH/uQ4CqiaQEqc/q6qopIO64446PVt4+\n8cQTuv/++7Vr1y596Utf0tNPP/3/GvRN0Lv99tuNNWppaVFfX1+Vdxv4GLX/3NycYrGYYrGYWfZQ\nqgDykq3Mzs5aZsFgHko6glRXV5dCoZBNuoI2pwuCli8srAiCyGooa929qAC/MFBbW1vav3+/QqFQ\nFVCMo0YymTSNHiMtMRKtq6szCQAkAwJeOitI6fP5vG0aiBIyrvX1dRWLRQtgPG9KabJMPjzul9IH\nyQrYKdkueCDtWIikJycnzQLfDfpT7s7Pz1vLEdAFTey4WXO6A2eA3xAI0UIim+CaEM4CJ5BhYioL\nBAADC+O8vLxsg2fon2aAOhAEGRSHJB0ADGonOGHo6a5gyErRfwLrcDCvra3Z/SN2Jpsk80RzSS8u\nhxLwARkT40NxmAaO4PClp9g949ddJaETBSdGxoLsBvbWjYmT8VJ2utsawfUondkHiLfBQzlEwdH5\ndqgYyOzc3zGaTggWqimw6c9+9rPvG/TqPizgjY2N6Ze//KVSqZRaW1v1jW98Q3/4wx/eE8DcXQDv\nXh/0/zo7O7W8vGyZQiaTsaDBqUUAQejK6UjvHq1bSFpo0Hdbue/Zs8dO40KhYJ5509PTymazZs0N\ny0jAIpuam5vT1taWdRLwsMHSULC7NVZsEuZVQBpAmGCugFiZYJ1OpzU6OmrlW19fn66//npzh25u\nbjaZAWYNjY2N5mzr9XrNdgjhNvoqAjMyAjZ9JBKx+b/8DNjWxcVFCxb0P585c0ajo6NW4pDNcGDg\nOk1AheSRtscd0pBO9sfBA6FFxgzJAPZJeSfJgm4qlTIHaw5C9HLusYSU39PT08ZAk5FjQ4QIHVYe\nLJOysVwum4QK8TfBi8xqa2vLuheY+IY7zNLSkv79739rfn7esiWCrt/vNysoqoKWlpaqtjg3A+6W\nl3BQUj5ee+21VoZjgkuWS0KBnpSWx1wuZ2JgynYkTZSz6PUikYikbYurVCplmSIYO0TKysqKaQ3R\nF3IYg8GDIQcCAU1MTJhUDT0gz95dBfCt0LFz5swZI1c4uFBmfND60KD36quv6tOf/rSVEV//+tf1\nr3/9S5FIRPl83gZ9c8J2d3crnU7bn5+enjbB6LvX5OSkRf14PK5AIGDC4OXlZaVSKWsLg2pHdCvJ\nsk03MzsyMiJJpmnyer2m5QLvwF2X02l5eVmvvvqqnbAtLS3at2+frrjiCjtZJNlGBSsDpHe3mK2v\nryscDr9nSDcyj7Nnz2p6elqlUkmdnZ1VNleBQEDhcFiSrMRKpVJ64403rKkaWp8+WgwgObHn5+fV\n1tamwcFB+/AoVd2SAlqFCPJkKXV12/NzV1a2h6+jwAfnxOtvY2NDyWRSyWTSnGcYfxmLxaxMole1\ntbXVtGuQUjwbsDsCE4RSc3OzyXwQ0tJ3ncvlNDo6Kkm2gSlJETbTQwqA39fXp+7ubhMOp9NpTU5O\n2sBoStlIJKLrrrvOQHtIF3dwRBBMyc2A65mZGfl8PhWLRb311lsqFovy+/1Vnof19fUaGxvTrl3b\ng87pQeUQAX5BlzY8PGw9vLiuAJsAIyB7olMHQgXMG4zS6/UqEokYnkamiRCf0hjLrlAoZMnJ6dOn\n9fbbb8vj8Zg4mUH1YKkQYGTxg4ODRkoiBOcw7e3tNVKF65Rk+xlYAZ0nJTzZJD8T1yL6oFOplCYm\nJt43w2N9aHn75ptv6o477tCJEyfU2Niob33rW7r22ms1OTn5kQd9S9vZ30MPPWSnYkdHh81IwFkB\nQWWhUNDa2lqVGBP5BJuJX4vFYvbSYRAR6Lp9v9yeZHwMMJKk67Ozs+rs7NTAwIAikUiVtmtlZUWF\nQkGnT5+2EsPj8ZhTBtgf4LUkKwHf3QdLhwNgPDMCmK0BJgmriKceEh+mXfX392vv3r2KxWJKuCzB\nEYYmk0mlUinrRuEwQcpCVoioG+st2oOWlpbMMMDdVkdGt7a2ZiUyXRAej8f+fnf5FgwGDWejUkgm\nk6YX4zBk81GugDfBHPPe2tvbTRyLjIPeWuAInj+HHSw50Aa4Le2EZIMQS9Fo1DBP99/Fd1hXt21Q\ny3VxMHZ1ddnhCaYonccdgQLcmHMkEjHZDDrQcDhsJgtuIopsH7iGgeF8NzCsbqlHOByu6uqAnAJO\nAn9E10rwAU/FNg1rN+QiZJ/g2bTBtba2mjUVEBaqCCon+pnpWiGI4W0JRMD34R7eJMlE0jQw7Nq1\nS4888shHw/R+9rOf6amnnpLX69XVV1+t3/72tyqVSh950DdB74knnrAHjMIeIoMevrm5OdtA/Du2\n0pS3gOKAw9ls1hwuONWmpqYM7K+rq6uaO4EuCidaTj5etDsb4iNk4xIowaump6fl8/k0MTGhSqWi\n7u5uBYNBU47j4oIgF3yCjwFsxq2zo9+Vkp/fVyqVFI/HTWlfKBQ0OTlphATpPpuSIIMFE8+T1w9u\nBPBMqdPQcH5wOEwpWRBBD9axvb3dhna7yx1Y27Nnz2psbEzXXHONCbnT6bRmZmZsM3m9XsucW1pa\nrNWIGQ9kdWQH7x45SJsUBA1YkXReYA0+KqmqdESbRvlMEMVYwk0YIeOZnZ01iZHbvw6xcXd3t7GS\nBFuqAwIE7zSTyahYLFrGBiHnloxg14UbMgw13yIBlYyMAxzNG9dPKcm0MoISpB73MTMzo5mZGcP9\n3FmmpCoFBlZnvEO3E1BDQ4Phr26dXblctvY49hKmHJAiCNORp/j92zOWOTDA/JHLIND/yEHv41iw\nt5zi/JNOg+bmZivVpO3S8tSpU/YQKN0ATcEBaBZHI9fQ0KDh4WF7YJz6APtgTrghs3EqlYrC4bCB\nyeB9eNaRptfX15vUAnKDMpDSulAoaHl52QwDwDkoyZHzUEKhX6IcIluCxeRnNjU1aWVlRb29vWYr\nxYc5Oztr8xIWFxdtk2K5A8vJz6H0oAmeThHcTUKhkDGclMGA92SU6NqYbcFHDKbHbOJYLGYbjE3r\n8/nMzRfZQT6ft/cK04gMg3tmkDcEBX28ZCw0r8diMctuONAgi8DjCEgEG9xb+B7dIl+yWrIO7hNp\nBwYFjJVEcE4pL8nE0l6vV52dnVa2gROSsXg822aeuVzO3qGbxYRUcd83ZADVBvpHr9druj0CJMw9\nuDEdK4iKK5Vtk1n0hu5AjBMNwdCtnADWgUijGoIAc8/taGpqsgl37j52Mn7nf00kNjc3TT5Eto14\nPRgMWn85c3U/kk7v41oej0fPPPOM4VHoqoj+brcOVOONjY02aJgOh9nZWQWDQR06dMjwA4InpwJB\nBDC1vb3dXqJ0XiWPILKxsdGMCcrlsrLZrGE1Pp/PhJs0nBcKBSWTSZ09e1Y9PT12j7QFraysmJ8Z\nuCIsGL5wZFfgF1D0SFui0ah6e3utZMlms3rnnXdM0U43AMGWcowPh1IEjResIJujo6OjyrChvb3d\nyjuAZ8YGUlJQktAq1dPTY863yDc2NjYMogBOgFAChI/H4wZasykCgYBSqZTpGnk2nZ2dmp2dVT6f\nt02JhIZuBpxQ3F5uAN1tbW3q7Oy0YVHLy8saGxvTa6+9VnXwUQEgKwoGg5qamrLKgoFQBDI2Kxkq\neB2gP85AZEMECjLJZDJpOrqtrS0LEthHNTQ0mGEmhzkZLIcjfydzLMj06HbiMAkEAubaTXUUj8fN\nVBSXnWKxaAeyuzVUkgU2Nx4M0URHE8QF+0SSHS7MIEHovLKyYrIkv99flWhgZwVRCH4H+eNuAXX/\njHK5rMcee2xnBb1HHnnE6PRgMGiYHh0P9G/C7KbTacMVUPaDbbFZmpub1d/fb7X98vKyIpGIqdyR\nt3R1dRmmAEZHZoLzQyqVMpatublZ8Xhcp0+ftlLNLeCkbMAthI1AiTo/P6/Nze0JXYODg/L7/Xai\no+bHaw9RNfgW7LDff352bSQSUTweVzwet81Lr+PS0pIKhYKVgwhDu7u71dXVpY2NDWWzWQODyWpg\nG1dWVpRKpUyqQHBD+e/G68C1JNnHSjAiY2ptbbUPHRIKAaobGoC15YACxwVf4+fBzOK6wSEwPj5u\nA4Ww7kokEiZ0Jjv1eLZnQnC/SIgI0pUsiscAABkmSURBVAR2FP941uG0s7a2ZuUUszfAzfinW5w+\nODiozs5O+7uj0ahBKtwXVQUYNJUEWWZTU5ORaJKMGYVRpcREIuLG+zgsMJRADF9Xtz1mcmpqSjMz\nMyZu5znBkCLxgqyB/MGiC+/ItrY2LSws2EArtwkGFQQdFMwaIdNlfjDekYVCQel02g6+jo4Oc0Kn\nqkDuhi8f1Ral9/r6uu69996dFfRuvvlma1tpbW01yYXbFRanlZaWFtv8fPyUPIxuRMleV1dnrBMf\nNR52bi0RfZZ+v98yIdqDAO35yKDJOzo6qlw2VldXTelPlgH7SNkDQwZrlU6nbY4pmwZgl+BNGTo2\nNmanPT2LXA8yFABc9yxUpCMNDdt25el02kp6bIvcQ2No0cPiHY3c2tqapqamlM1mDQOTtnEwul2Q\n29D0T/BzHzTlctmeCffCn3UcxzIkym50lmT/4FBoLz0ej9rb27Vv3z4zZujv71c4HNbCwoJGRkY0\nPT1t0iG+OSRQCwsL9hwp9zEHyGazSiaTVc38bE4ydffBjGjd4/FYoKHjAFCesrdSqSiTydhkOTLt\nQ4cOWdXj9XotWwU/A4agfEOjGggE7JArFAqWAOCl6Pf7VSwWjazAZ3JwcNDaHplRgpyHUhO3FXBb\nSVWmCYxTmJ6etgyyv7/fNJPlclnT09M6ceJElVV+V1eXlcxkhDw/dHt1dXXWKbW6umrfAzg1urxy\nuWxSLL5Dqp5du3bphz/84c4Keo8++qiJTMmwMBtsbW3VyZMnrfGfrgQwLcfZNqCMx+N2MpIlUS7C\nZNF1wYdDOk4gg2F1U+G06iD85EUguyAouU9uXk42m7UXT7bkVvA3NTVpcnLS9GVkUYDOKOBJ0cGc\nIFLYfLw2sBw2Gjor7tGt4wLbROtHacCzIwNDMIyGD/KF05iWJMwBRkZGNDIyYiMM29vbzamGLgHG\nUiKzoNtiYWHBApfba69Sqdj4Qtr7cOKlCmCEIB0slFOIcnkHwWDQsFt3FkmWxuHhbufjWc3NzWlq\nakq5XM4yU3SZzc3NikQiBmMUi0UrAWlFo5R2j60MBoOW0SOvKhQKchzHZq5w4BKsYYjBFRHHc2i4\nCSafz2e6SrIoGPDl5WXrXnKrGgjeyEuoCLB4Akcl2wabJciSxbFHIeCY+sah734eyHNIcMjiyEBh\ngDHxYPYu2se+vr4qU1q3OUh9ff3OK2+fe+45STLWMxgMmqqcUq5cLltGwUAcJCJkZujivF6vgZ1s\niIWFBTN+hPBwuz9IsgDCScvJAzjN76+rq7OpYtxDd3e3vRhJttnQwlHiEEjdfYbBYNCYaklmiU1G\n6nYeoYR0Y1yUBQRuWC4CCoENsoaAwLQ5NoLf7zfZD2Q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       "text": [
        "<matplotlib.figure.Figure at 0x342e590>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "section.traces[0].data"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "array([   0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,    0.       ,    0.       ,\n",
        "          0.       ,    0.       ,   -1.671875 ,   -6.6875   ,\n",
        "         -1.671875 ,   10.8671875,    4.1796875,    4.1796875,\n",
        "         -0.8359375,  -22.5703125,  -16.71875  ,   -5.015625 ,\n",
        "         -1.671875 ,   11.703125 ,    6.6875   ,   10.8671875,\n",
        "         14.2109375,  -15.046875 ,    0.       ,   25.9140625,\n",
        "         -9.1953125,   -3.34375  ,   25.9140625,   -3.34375  ,\n",
        "          4.1796875,   10.03125  ,  -25.9140625,  -21.734375 ,\n",
        "         20.8984375,   17.5546875,  -10.03125  ,   -1.671875 ,\n",
        "          4.1796875,  -15.046875 ,   -5.015625 ,   25.9140625,\n",
        "         20.0625   ,  -22.5703125,  -40.9609375,   -6.6875   ,\n",
        "         26.75     ,   16.71875  ,  -10.8671875,  -15.8828125,\n",
        "         -4.1796875,    1.671875 ,   -1.671875 ,   -1.671875 ,\n",
        "         -5.8515625,   -4.1796875,    1.671875 ,    0.8359375,\n",
        "         -4.1796875,    1.671875 ,    6.6875   ,    4.1796875,\n",
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        "         15.046875 ,    5.8515625,    5.015625 ,   -1.671875 ,\n",
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        "         23.40625  ,   11.703125 ,  -16.71875  ,  -21.734375 ,\n",
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        "         12.5390625,   12.5390625,    0.       ,    3.34375  ,\n",
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        "          0.       ,    9.1953125,   14.2109375,    9.1953125,\n",
        "         11.703125 ,   11.703125 ,  -11.703125 ,  -31.765625 ,\n",
        "        -10.03125  ,   21.734375 ,   35.109375 ,   23.40625  ,\n",
        "        -28.421875 ,  -81.0859375,  -86.1015625,  -74.3984375,\n",
        "        -37.6171875,   56.84375  ,  106.1640625,   68.546875 ,\n",
        "         33.4375   ,    7.5234375,  -25.078125 ,   -4.1796875,\n",
        "         38.453125 ,   52.6640625,   56.84375  ,   45.9765625,\n",
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        "        -28.421875 ,  -21.734375 ,   -5.015625 ,   -0.8359375,\n",
        "        -19.2265625,  -30.9296875,  -15.046875 ,   -0.8359375,\n",
        "          4.1796875,    3.34375  ,    0.8359375,    0.       ,\n",
        "          4.1796875,   25.078125 ,   36.78125  ,    7.5234375,\n",
        "        -25.9140625,  -35.9453125,  -38.453125 ,  -35.9453125,\n",
        "        -16.71875  ,   10.8671875,   23.40625  ,   30.9296875,\n",
        "         31.765625 ,   27.5859375,   10.8671875,   -5.8515625,\n",
        "         -7.5234375,    5.015625 ,    7.5234375,    5.8515625,\n",
        "          4.1796875,    4.1796875,  -15.8828125,  -26.75     ,\n",
        "        -12.5390625,    3.34375  ,   11.703125 ,    6.6875   ,\n",
        "          0.       ,   -0.8359375,    9.1953125,    9.1953125,\n",
        "          3.34375  ,   10.03125  ,   10.8671875,    4.1796875,\n",
        "         -4.1796875,  -14.2109375,  -20.0625   ,  -20.0625   ,\n",
        "        -16.71875  ,   -3.34375  ,    6.6875   ,   14.2109375,\n",
        "         10.8671875,    3.34375  ,   -4.1796875,  -17.5546875,\n",
        "        -20.0625   ,  -12.5390625,  -10.03125  ,   -1.671875 ,\n",
        "         -5.015625 ,    1.671875 ,    5.015625 ,    0.8359375,\n",
        "          4.1796875,    0.       ,    3.34375  ,   17.5546875,\n",
        "         20.8984375,   10.03125  ,   10.03125  ,   11.703125 ,\n",
        "         14.2109375,   11.703125 ,    5.8515625,   -3.34375  ,\n",
        "        -10.8671875,  -15.046875 ,  -20.8984375,  -20.0625   ,\n",
        "        -14.2109375,  -11.703125 ,   -0.8359375,   11.703125 ,\n",
        "         15.046875 ,    9.1953125,   -1.671875 ,  -11.703125 ,\n",
        "        -14.2109375,   -6.6875   ,   -0.8359375,   -0.8359375,\n",
        "          0.8359375,    4.1796875,    5.015625 ,    1.671875 ,\n",
        "          5.8515625,   15.8828125,   17.5546875,   19.2265625,\n",
        "         14.2109375,    4.1796875,   -0.8359375,    0.8359375,\n",
        "          1.671875 ,    3.34375  ,   10.03125  ,   11.703125 ,\n",
        "         -0.8359375,  -17.5546875,  -30.09375  ,  -35.109375 ,\n",
        "        -25.9140625,   -6.6875   ,    6.6875   ,   12.5390625,\n",
        "         17.5546875,   17.5546875,   12.5390625,    1.671875 ,\n",
        "         -5.015625 ,   -0.8359375,    0.       ,    1.671875 ,\n",
        "          5.8515625,    7.5234375,    6.6875   ,    0.       ,\n",
        "         -6.6875   ,  -12.5390625,  -16.71875  ,  -15.046875 ,\n",
        "         -5.015625 ,    0.       ,   -5.8515625,  -20.0625   ,\n",
        "        -25.078125 ,  -11.703125 ,    3.34375  ,   12.5390625,\n",
        "         15.046875 ,    9.1953125,    4.1796875,    1.671875 ,\n",
        "          0.       ,    3.34375  ,    4.1796875,    1.671875 ,\n",
        "         -0.8359375,   -1.671875 ,   -5.8515625,   -9.1953125,\n",
        "         -4.1796875,    4.1796875,    5.8515625,    5.8515625,\n",
        "          7.5234375,    7.5234375,    5.015625 ,    3.34375  ,\n",
        "          0.8359375,   -4.1796875,   -3.34375  ,   -0.8359375,\n",
        "         -3.34375  ,   -5.8515625,   -3.34375  ,    4.1796875,\n",
        "          0.8359375,   -5.015625 ,   -4.1796875,   -3.34375  ,\n",
        "         -5.015625 ,   -4.1796875,   -4.1796875,   -1.671875 ,\n",
        "          5.8515625,    6.6875   ,    4.1796875,   -0.8359375,\n",
        "         -7.5234375,   -9.1953125,   -3.34375  ,    0.       ,\n",
        "          3.34375  ,    0.       ,   -3.34375  ,   -3.34375  ,\n",
        "         -3.34375  ,    0.       ,    1.671875 ,    1.671875 ,\n",
        "          3.34375  ,    5.8515625,   10.03125  ,   12.5390625,\n",
        "         10.8671875,    6.6875   ,    6.6875   ,   12.5390625,\n",
        "         16.71875  ,   14.2109375,    3.34375  ,   -1.671875 ,\n",
        "         -0.8359375,    0.8359375,   -0.8359375,   -1.671875 ,\n",
        "          0.       ,    0.8359375,    3.34375  ,    4.1796875,\n",
        "          0.       ,   -3.34375  ,    0.8359375,    1.671875 ,\n",
        "          0.       ,   -1.671875 ,   -4.1796875,   -1.671875 ,\n",
        "          0.       ,   -0.8359375,    1.671875 ,    7.5234375,\n",
        "          7.5234375,    5.015625 ,    0.8359375,   -1.671875 ,\n",
        "         -0.8359375,   -5.015625 ,   -5.8515625,   -5.015625 ,\n",
        "         -4.1796875,   -0.8359375,    1.671875 ,    0.8359375,\n",
        "         -3.34375  ,   -6.6875   ,   -7.5234375,   -6.6875   ,\n",
        "         -4.1796875,   -3.34375  ,   -4.1796875,   -3.34375  ,\n",
        "         -1.671875 ,   -1.671875 ,   -4.1796875,   -7.5234375,\n",
        "        -10.8671875,  -10.8671875,  -10.03125  ,   -7.5234375,\n",
        "         -4.1796875,   -0.8359375,    0.       ,    0.       ,\n",
        "          0.8359375,    1.671875 ,    5.8515625,    5.015625 ,\n",
        "          5.015625 ,    7.5234375,    9.1953125,   10.03125  ,\n",
        "          5.015625 ,    3.34375  ,    1.671875 ,    0.       ,\n",
        "         -1.671875 ,   -0.8359375,    0.       ,    0.       ,\n",
        "         -1.671875 ,   -5.015625 ,   -4.1796875,    3.34375  ,\n",
        "          7.5234375,   10.03125  ,   10.03125  ,    9.1953125,\n",
        "          5.8515625,    5.8515625,    5.8515625,    3.34375  ,\n",
        "          0.8359375,    0.8359375,   -0.8359375,   -3.34375  ,\n",
        "         -4.1796875,   -5.8515625,   -5.8515625,   -5.015625 ,\n",
        "         -5.015625 ,   -5.015625 ,   -9.1953125,  -14.2109375,\n",
        "        -11.703125 ,   -5.8515625,   -3.34375  ,    0.       ,\n",
        "          0.8359375,    0.8359375,    3.34375  ,    6.6875   ,\n",
        "          7.5234375,    5.015625 ,    1.671875 ,    5.015625 ,\n",
        "          5.015625 ,   -0.8359375,   -6.6875   ,   -9.1953125,\n",
        "         -5.015625 ,   -3.34375  ,   -3.34375  ,    1.671875 ,\n",
        "          9.1953125,   10.8671875,    6.6875   ,    5.015625 ,\n",
        "          4.1796875,   11.703125 ,   20.0625   ,   26.75     ,\n",
        "         30.09375  ,   28.421875 ,   19.2265625,    1.671875 ,\n",
        "        -15.8828125,  -28.421875 ,  -32.6015625,  -30.09375  ,\n",
        "        -22.5703125,  -16.71875  ,  -19.2265625,  -20.8984375,\n",
        "        -15.046875 ,  -14.2109375,  -11.703125 ,   -4.1796875,\n",
        "          0.       ,   -0.8359375,    0.       ,   -3.34375  ,\n",
        "         -9.1953125,  -12.5390625,   -7.5234375,    0.8359375,\n",
        "          9.1953125,   14.2109375,   14.2109375,   10.8671875,\n",
        "         10.03125  ,    9.1953125,   12.5390625,   14.2109375,\n",
        "         10.8671875,    6.6875   ,    0.       ,   -0.8359375,\n",
        "          0.8359375,    0.       ,   -7.5234375,  -11.703125 ,\n",
        "         -5.015625 ,   -0.8359375,   -1.671875 ,   -0.8359375,\n",
        "         -3.34375  ,   -3.34375  ,   -3.34375  ,   -3.34375  ,\n",
        "          0.       ,    4.1796875,    5.015625 ,    3.34375  ,\n",
        "         -0.8359375,    3.34375  ,    6.6875   ,    5.8515625,\n",
        "          7.5234375,   10.03125  ,    5.8515625,    3.34375  ,\n",
        "          1.671875 ,   -3.34375  ,   -6.6875   ,  -12.5390625,\n",
        "        -15.8828125,  -10.8671875,  -10.03125  ,  -10.03125  ,\n",
        "         -4.1796875,    0.       ,    3.34375  ,    5.8515625,\n",
        "          6.6875   ,    9.1953125,    7.5234375,    7.5234375,\n",
        "          4.1796875,    1.671875 ,    0.8359375,    3.34375  ,\n",
        "          6.6875   ,   10.03125  ,    6.6875   ,    5.8515625,\n",
        "          7.5234375,    7.5234375,    5.8515625,    0.       ,\n",
        "          0.       ,    3.34375  ,    1.671875 ,   -0.8359375,\n",
        "         -5.8515625,   -4.1796875,   -0.8359375,   -3.34375  ,\n",
        "         -0.8359375,    0.       ,   -5.015625 ,   -6.6875   ,\n",
        "         -9.1953125,   -6.6875   ,   -5.015625 ,   -5.015625 ,\n",
        "         -5.015625 ,   -3.34375  ,   -0.8359375,    0.8359375,\n",
        "          7.5234375,    5.8515625,    3.34375  ,    1.671875 ,\n",
        "         -1.671875 ,   -0.8359375,    1.671875 ,   -4.1796875,\n",
        "        -10.03125  ,   -6.6875   ,   -5.015625 ,   -7.5234375,\n",
        "         -5.015625 ,   -0.8359375,   -0.8359375,   -4.1796875,\n",
        "         -3.34375  ,    0.8359375,    3.34375  ,    4.1796875,\n",
        "          0.8359375,   -5.015625 ,    1.671875 ,   12.5390625,\n",
        "         11.703125 ,   11.703125 ,   10.8671875,    7.5234375,\n",
        "          5.015625 ,   -0.8359375,   -3.34375  ,   -0.8359375,\n",
        "         -4.1796875,   -9.1953125,   -9.1953125,   -5.8515625,\n",
        "         -5.015625 ,   -1.671875 ,   -5.015625 ,   -5.015625 ,\n",
        "         -3.34375  ,   -1.671875 ,    0.       ,    3.34375  ,\n",
        "          5.8515625,    6.6875   ,    5.8515625,    7.5234375,\n",
        "          7.5234375,    9.1953125,   10.8671875,    9.1953125,\n",
        "          7.5234375,   10.8671875,   10.03125  ,    5.8515625,\n",
        "          6.6875   ,    5.8515625,    4.1796875,    6.6875   ,\n",
        "          6.6875   ,    1.671875 ,    0.       ,   -0.8359375,\n",
        "         -1.671875 ,   -5.015625 ,   -4.1796875,   -3.34375  ,\n",
        "         -1.671875 ,   -5.8515625,  -10.8671875,   -5.8515625,\n",
        "         -1.671875 ,   -1.671875 ,   -3.34375  ,   -5.015625 ,\n",
        "         -3.34375  ,   -0.8359375,   -5.015625 ,   -7.5234375,\n",
        "        -10.03125  ,   -5.8515625,   -3.34375  ,   -3.34375  ,\n",
        "         -3.34375  ,   -7.5234375,  -12.5390625,   -9.1953125,\n",
        "         -5.8515625,  -10.03125  ,  -14.2109375,  -10.03125  ,\n",
        "         -1.671875 ,    0.       ,    3.34375  ,    0.       ,\n",
        "         -0.8359375,    0.       ,   -1.671875 ,   -1.671875 ,\n",
        "          4.1796875,    9.1953125,    5.8515625,    6.6875   ,\n",
        "         11.703125 ,   10.03125  ,    3.34375  ,    3.34375  ,\n",
        "          5.015625 ,    3.34375  ,    6.6875   ,    4.1796875,\n",
        "          3.34375  ,    4.1796875,   -0.8359375,   -0.8359375,\n",
        "          4.1796875,    6.6875   ,    4.1796875,   -3.34375  ,\n",
        "         -5.015625 ,   -0.8359375,    3.34375  ,    3.34375  ,\n",
        "         -1.671875 ,   -3.34375  ,   -4.1796875,   -5.8515625,\n",
        "         -3.34375  ,    0.8359375,    3.34375  ,    0.       ,\n",
        "         -5.015625 ,   -6.6875   ,  -10.8671875,  -12.5390625,\n",
        "        -12.5390625,  -15.046875 ,  -10.03125  ,    1.671875 ,\n",
        "          9.1953125,    5.8515625,    5.015625 ,    5.8515625,\n",
        "          5.8515625,    3.34375  ,   -3.34375  ,   -3.34375  ,\n",
        "          1.671875 ,    5.8515625,    5.015625 ,    4.1796875,\n",
        "          5.015625 ,    4.1796875,    1.671875 ,    0.8359375,\n",
        "          5.8515625,   10.03125  ,    9.1953125,    6.6875   ,\n",
        "          7.5234375,    6.6875   ,    0.8359375,   -5.8515625,\n",
        "         -7.5234375,   -5.8515625,   -5.015625 ,   -6.6875   ,\n",
        "         -5.015625 ,    1.671875 ,    5.015625 ,    5.015625 ,\n",
        "          5.015625 ,    5.8515625,    9.1953125,    4.1796875,\n",
        "         -1.671875 ,   -5.015625 ,   -6.6875   ,  -12.5390625,\n",
        "        -15.046875 ,  -10.03125  ,   -4.1796875,    0.       ,\n",
        "         -0.8359375,   -6.6875   ,  -10.8671875,   -5.015625 ,\n",
        "         -3.34375  ,    3.34375  ,    5.015625 ,    4.1796875,\n",
        "          1.671875 ,    4.1796875,    0.8359375,   -6.6875   ,\n",
        "          0.8359375,    6.6875   ,    4.1796875,    3.34375  ,\n",
        "          5.015625 ,    4.1796875,    6.6875   ,   12.5390625,\n",
        "         11.703125 ,    4.1796875,   -4.1796875,  -10.03125  ,\n",
        "         -5.8515625,    4.1796875,    4.1796875,    4.1796875,\n",
        "          7.5234375,    6.6875   ,    0.8359375,   -5.8515625], dtype=float32)"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "section.traces[0].times()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "array([ 0.   ,  0.004,  0.008,  0.012,  0.016,  0.02 ,  0.024,  0.028,\n",
        "        0.032,  0.036,  0.04 ,  0.044,  0.048,  0.052,  0.056,  0.06 ,\n",
        "        0.064,  0.068,  0.072,  0.076,  0.08 ,  0.084,  0.088,  0.092,\n",
        "        0.096,  0.1  ,  0.104,  0.108,  0.112,  0.116,  0.12 ,  0.124,\n",
        "        0.128,  0.132,  0.136,  0.14 ,  0.144,  0.148,  0.152,  0.156,\n",
        "        0.16 ,  0.164,  0.168,  0.172,  0.176,  0.18 ,  0.184,  0.188,\n",
        "        0.192,  0.196,  0.2  ,  0.204,  0.208,  0.212,  0.216,  0.22 ,\n",
        "        0.224,  0.228,  0.232,  0.236,  0.24 ,  0.244,  0.248,  0.252,\n",
        "        0.256,  0.26 ,  0.264,  0.268,  0.272,  0.276,  0.28 ,  0.284,\n",
        "        0.288,  0.292,  0.296,  0.3  ,  0.304,  0.308,  0.312,  0.316,\n",
        "        0.32 ,  0.324,  0.328,  0.332,  0.336,  0.34 ,  0.344,  0.348,\n",
        "        0.352,  0.356,  0.36 ,  0.364,  0.368,  0.372,  0.376,  0.38 ,\n",
        "        0.384,  0.388,  0.392,  0.396,  0.4  ,  0.404,  0.408,  0.412,\n",
        "        0.416,  0.42 ,  0.424,  0.428,  0.432,  0.436,  0.44 ,  0.444,\n",
        "        0.448,  0.452,  0.456,  0.46 ,  0.464,  0.468,  0.472,  0.476,\n",
        "        0.48 ,  0.484,  0.488,  0.492,  0.496,  0.5  ,  0.504,  0.508,\n",
        "        0.512,  0.516,  0.52 ,  0.524,  0.528,  0.532,  0.536,  0.54 ,\n",
        "        0.544,  0.548,  0.552,  0.556,  0.56 ,  0.564,  0.568,  0.572,\n",
        "        0.576,  0.58 ,  0.584,  0.588,  0.592,  0.596,  0.6  ,  0.604,\n",
        "        0.608,  0.612,  0.616,  0.62 ,  0.624,  0.628,  0.632,  0.636,\n",
        "        0.64 ,  0.644,  0.648,  0.652,  0.656,  0.66 ,  0.664,  0.668,\n",
        "        0.672,  0.676,  0.68 ,  0.684,  0.688,  0.692,  0.696,  0.7  ,\n",
        "        0.704,  0.708,  0.712,  0.716,  0.72 ,  0.724,  0.728,  0.732,\n",
        "        0.736,  0.74 ,  0.744,  0.748,  0.752,  0.756,  0.76 ,  0.764,\n",
        "        0.768,  0.772,  0.776,  0.78 ,  0.784,  0.788,  0.792,  0.796,\n",
        "        0.8  ,  0.804,  0.808,  0.812,  0.816,  0.82 ,  0.824,  0.828,\n",
        "        0.832,  0.836,  0.84 ,  0.844,  0.848,  0.852,  0.856,  0.86 ,\n",
        "        0.864,  0.868,  0.872,  0.876,  0.88 ,  0.884,  0.888,  0.892,\n",
        "        0.896,  0.9  ,  0.904,  0.908,  0.912,  0.916,  0.92 ,  0.924,\n",
        "        0.928,  0.932,  0.936,  0.94 ,  0.944,  0.948,  0.952,  0.956,\n",
        "        0.96 ,  0.964,  0.968,  0.972,  0.976,  0.98 ,  0.984,  0.988,\n",
        "        0.992,  0.996,  1.   ,  1.004,  1.008,  1.012,  1.016,  1.02 ,\n",
        "        1.024,  1.028,  1.032,  1.036,  1.04 ,  1.044,  1.048,  1.052,\n",
        "        1.056,  1.06 ,  1.064,  1.068,  1.072,  1.076,  1.08 ,  1.084,\n",
        "        1.088,  1.092,  1.096,  1.1  ,  1.104,  1.108,  1.112,  1.116,\n",
        "        1.12 ,  1.124,  1.128,  1.132,  1.136,  1.14 ,  1.144,  1.148,\n",
        "        1.152,  1.156,  1.16 ,  1.164,  1.168,  1.172,  1.176,  1.18 ,\n",
        "        1.184,  1.188,  1.192,  1.196,  1.2  ,  1.204,  1.208,  1.212,\n",
        "        1.216,  1.22 ,  1.224,  1.228,  1.232,  1.236,  1.24 ,  1.244,\n",
        "        1.248,  1.252,  1.256,  1.26 ,  1.264,  1.268,  1.272,  1.276,\n",
        "        1.28 ,  1.284,  1.288,  1.292,  1.296,  1.3  ,  1.304,  1.308,\n",
        "        1.312,  1.316,  1.32 ,  1.324,  1.328,  1.332,  1.336,  1.34 ,\n",
        "        1.344,  1.348,  1.352,  1.356,  1.36 ,  1.364,  1.368,  1.372,\n",
        "        1.376,  1.38 ,  1.384,  1.388,  1.392,  1.396,  1.4  ,  1.404,\n",
        "        1.408,  1.412,  1.416,  1.42 ,  1.424,  1.428,  1.432,  1.436,\n",
        "        1.44 ,  1.444,  1.448,  1.452,  1.456,  1.46 ,  1.464,  1.468,\n",
        "        1.472,  1.476,  1.48 ,  1.484,  1.488,  1.492,  1.496,  1.5  ,\n",
        "        1.504,  1.508,  1.512,  1.516,  1.52 ,  1.524,  1.528,  1.532,\n",
        "        1.536,  1.54 ,  1.544,  1.548,  1.552,  1.556,  1.56 ,  1.564,\n",
        "        1.568,  1.572,  1.576,  1.58 ,  1.584,  1.588,  1.592,  1.596,\n",
        "        1.6  ,  1.604,  1.608,  1.612,  1.616,  1.62 ,  1.624,  1.628,\n",
        "        1.632,  1.636,  1.64 ,  1.644,  1.648,  1.652,  1.656,  1.66 ,\n",
        "        1.664,  1.668,  1.672,  1.676,  1.68 ,  1.684,  1.688,  1.692,\n",
        "        1.696,  1.7  ,  1.704,  1.708,  1.712,  1.716,  1.72 ,  1.724,\n",
        "        1.728,  1.732,  1.736,  1.74 ,  1.744,  1.748,  1.752,  1.756,\n",
        "        1.76 ,  1.764,  1.768,  1.772,  1.776,  1.78 ,  1.784,  1.788,\n",
        "        1.792,  1.796,  1.8  ,  1.804,  1.808,  1.812,  1.816,  1.82 ,\n",
        "        1.824,  1.828,  1.832,  1.836,  1.84 ,  1.844,  1.848,  1.852,\n",
        "        1.856,  1.86 ,  1.864,  1.868,  1.872,  1.876,  1.88 ,  1.884,\n",
        "        1.888,  1.892,  1.896,  1.9  ,  1.904,  1.908,  1.912,  1.916,\n",
        "        1.92 ,  1.924,  1.928,  1.932,  1.936,  1.94 ,  1.944,  1.948,\n",
        "        1.952,  1.956,  1.96 ,  1.964,  1.968,  1.972,  1.976,  1.98 ,\n",
        "        1.984,  1.988,  1.992,  1.996,  2.   ,  2.004,  2.008,  2.012,\n",
        "        2.016,  2.02 ,  2.024,  2.028,  2.032,  2.036,  2.04 ,  2.044,\n",
        "        2.048,  2.052,  2.056,  2.06 ,  2.064,  2.068,  2.072,  2.076,\n",
        "        2.08 ,  2.084,  2.088,  2.092,  2.096,  2.1  ,  2.104,  2.108,\n",
        "        2.112,  2.116,  2.12 ,  2.124,  2.128,  2.132,  2.136,  2.14 ,\n",
        "        2.144,  2.148,  2.152,  2.156,  2.16 ,  2.164,  2.168,  2.172,\n",
        "        2.176,  2.18 ,  2.184,  2.188,  2.192,  2.196,  2.2  ,  2.204,\n",
        "        2.208,  2.212,  2.216,  2.22 ,  2.224,  2.228,  2.232,  2.236,\n",
        "        2.24 ,  2.244,  2.248,  2.252,  2.256,  2.26 ,  2.264,  2.268,\n",
        "        2.272,  2.276,  2.28 ,  2.284,  2.288,  2.292,  2.296,  2.3  ,\n",
        "        2.304,  2.308,  2.312,  2.316,  2.32 ,  2.324,  2.328,  2.332,\n",
        "        2.336,  2.34 ,  2.344,  2.348,  2.352,  2.356,  2.36 ,  2.364,\n",
        "        2.368,  2.372,  2.376,  2.38 ,  2.384,  2.388,  2.392,  2.396,\n",
        "        2.4  ,  2.404,  2.408,  2.412,  2.416,  2.42 ,  2.424,  2.428,\n",
        "        2.432,  2.436,  2.44 ,  2.444,  2.448,  2.452,  2.456,  2.46 ,\n",
        "        2.464,  2.468,  2.472,  2.476,  2.48 ,  2.484,  2.488,  2.492,\n",
        "        2.496,  2.5  ,  2.504,  2.508,  2.512,  2.516,  2.52 ,  2.524,\n",
        "        2.528,  2.532,  2.536,  2.54 ,  2.544,  2.548,  2.552,  2.556,\n",
        "        2.56 ,  2.564,  2.568,  2.572,  2.576,  2.58 ,  2.584,  2.588,\n",
        "        2.592,  2.596,  2.6  ,  2.604,  2.608,  2.612,  2.616,  2.62 ,\n",
        "        2.624,  2.628,  2.632,  2.636,  2.64 ,  2.644,  2.648,  2.652,\n",
        "        2.656,  2.66 ,  2.664,  2.668,  2.672,  2.676,  2.68 ,  2.684,\n",
        "        2.688,  2.692,  2.696,  2.7  ,  2.704,  2.708,  2.712,  2.716,\n",
        "        2.72 ,  2.724,  2.728,  2.732,  2.736,  2.74 ,  2.744,  2.748,\n",
        "        2.752,  2.756,  2.76 ,  2.764,  2.768,  2.772,  2.776,  2.78 ,\n",
        "        2.784,  2.788,  2.792,  2.796,  2.8  ,  2.804,  2.808,  2.812,\n",
        "        2.816,  2.82 ,  2.824,  2.828,  2.832,  2.836,  2.84 ,  2.844,\n",
        "        2.848,  2.852,  2.856,  2.86 ,  2.864,  2.868,  2.872,  2.876,\n",
        "        2.88 ,  2.884,  2.888,  2.892,  2.896,  2.9  ,  2.904,  2.908,\n",
        "        2.912,  2.916,  2.92 ,  2.924,  2.928,  2.932,  2.936,  2.94 ,\n",
        "        2.944,  2.948,  2.952,  2.956,  2.96 ,  2.964,  2.968,  2.972,\n",
        "        2.976,  2.98 ,  2.984,  2.988,  2.992,  2.996,  3.   ,  3.004,\n",
        "        3.008,  3.012,  3.016,  3.02 ,  3.024,  3.028,  3.032,  3.036,\n",
        "        3.04 ,  3.044,  3.048,  3.052,  3.056,  3.06 ,  3.064,  3.068,\n",
        "        3.072,  3.076,  3.08 ,  3.084,  3.088,  3.092,  3.096,  3.1  ,\n",
        "        3.104,  3.108,  3.112,  3.116,  3.12 ,  3.124,  3.128,  3.132,\n",
        "        3.136,  3.14 ,  3.144,  3.148,  3.152,  3.156,  3.16 ,  3.164,\n",
        "        3.168,  3.172,  3.176,  3.18 ,  3.184,  3.188,  3.192,  3.196,\n",
        "        3.2  ,  3.204,  3.208,  3.212,  3.216,  3.22 ,  3.224,  3.228,\n",
        "        3.232,  3.236,  3.24 ,  3.244,  3.248,  3.252,  3.256,  3.26 ,\n",
        "        3.264,  3.268,  3.272,  3.276,  3.28 ,  3.284,  3.288,  3.292,\n",
        "        3.296,  3.3  ,  3.304,  3.308,  3.312,  3.316,  3.32 ,  3.324,\n",
        "        3.328,  3.332,  3.336,  3.34 ,  3.344,  3.348,  3.352,  3.356,\n",
        "        3.36 ,  3.364,  3.368,  3.372,  3.376,  3.38 ,  3.384,  3.388,\n",
        "        3.392,  3.396,  3.4  ,  3.404,  3.408,  3.412,  3.416,  3.42 ,\n",
        "        3.424,  3.428,  3.432,  3.436,  3.44 ,  3.444,  3.448,  3.452,\n",
        "        3.456,  3.46 ,  3.464,  3.468,  3.472,  3.476,  3.48 ,  3.484,\n",
        "        3.488,  3.492,  3.496,  3.5  ])"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}

nice trick.