gprMax/tools/Jupyter_notebooks/example_Ascan_2D.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A-scan from a metal cylinder (2D)\n",
    "\n",
    "This example is the GPR modelling equivalent of 'Hello World'! It demonstrates how to simulate a single trace (A-scan) from a metal cylinder buried in a dielectric half-space. The input needed to create the model is:\n",
    "\n",
    "### my_cylinder_Ascan_2D.in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting ../../user_models/cylinder_Ascan_2D.in\n"
     ]
    }
   ],
   "source": [
    "%%writefile ../../user_models/cylinder_Ascan_2D.in\n",
    "#title: A-scan from a metal cylinder buried in a dielectric half-space\n",
    "#domain: 0.240 0.210 0.002\n",
    "#dx_dy_dz: 0.002 0.002 0.002\n",
    "#time_window: 3e-9\n",
    "\n",
    "#material: 6 0 1 0 half_space\n",
    "\n",
    "#waveform: ricker 1 1.5e9 my_ricker\n",
    "#hertzian_dipole: z 0.100 0.170 0 my_ricker\n",
    "#rx: 0.140 0.170 0\n",
    "\n",
    "#box: 0 0 0 0.240 0.170 0.002 half_space\n",
    "#cylinder: 0.120 0.080 0 0.120 0.080 0.002 0.010 pec\n",
    "\n",
    "#geometry_view: 0 0 0 0.240 0.210 0.002 0.002 0.002 0.002 cylinder_half_space n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Geometry of a metal cylinder buried in a dielectric half-space\n",
    "<img style=\"float: left\" src=\"cylinder_half_space_geo.png\" width=\"50%\" height=\"50%\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The geometry of the scenario is straightforward - the transparent area around the boundary of the domain represents the PML region. The red cell is the source and the blue cell is the receiver.\n",
    "\n",
    "For this initial example a detailed description of what each command in the input file does and why each command was used is given. The following steps explain the process of building the input file:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Determine the constitutive parameters for the materials\n",
    "\n",
    "There will be three different materials in the model representing air, the dielectric half-space, and the metal cylinder. Air (free space) already exists as a built-in material in gprMax which can be accessed using the ``free_space`` identifier. The metal cylinder will be modelled as a Perfect Electric Conductor, which again exists as a built-in material in gprMax and can be accessed using the ``pec`` identifier. So the only material which has to be defined is for the dielectric half-space. It is a non-magnetic material, i.e. $\\mu_r=1$ and $\\sigma_*=0$ and with a relative permittivity of six, $\\epsilon_r=6$, and zero conductivity, $\\sigma=0$. The identifier ``half_space`` will be used.\n",
    "\n",
    "    #material: 6 0 1 0 half_space\n",
    "\n",
    "### 2. Determine the source type and excitation frequency\n",
    "\n",
    "These should generally be known, often based on the GPR system or scenario being modelled. Low frequencies are used where significant penetration depth is important, whereas high frequencies are used where less penetration and better resolution are required. In this case a theoretical Hertzian dipole source fed with a Ricker waveform with a centre frequency of $f_c=1.5~\\textrm{GHz}$ will be used to simulate the GPR antenna (see the bowtie antenna example model for how to include a model of the actual GPR antenna in the simulation).\n",
    "\n",
    "    #waveform: ricker 1 1.5e9 my_ricker\n",
    "    #hertzian_dipole: z 0.100 0.170 0 my_ricker\n",
    "\n",
    "The Ricker waveform is created with the ``#waveform`` command, specifying an amplitude of one, centre frequency of 1.5 GHz and picking an arbitrary identifier of ``my_ricker``. The Hertzian dipole source is created using the ``#hertzian_dipole`` command, specifying a z direction polarisation (perpendicular to the survey direction if a B-scan were being created), location on the surface of the slab, and using the Ricker waveform already created.\n",
    "\n",
    "### 3. Calculate a spatial resolution and domain size\n",
    "\n",
    "In the guidance section it was stated that a good *rule-of-thumb* was that the spatial resolution should be one tenth of the smallest wavelength present in the model. To determine the smallest wavelength, the highest frequency and lowest velocity present in the model are required. The highest frequency is not the centre frequency of the Ricker waveform!  \n",
    "\n",
    "You can use the following code to plot builtin waveforms and their FFTs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Waveform characteristics...\n",
      "Type: ricker\n",
      "Maximum amplitude: 1\n",
      "Centre frequency: 1.5e+09 Hz\n",
      "Time to centre of pulse: 9.42809e-10 s\n",
      "Time window: 3e-09 s (1559 iterations)\n",
      "Time step: 1.926e-12 s\n"
     ]
    },
    {
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c1EMBwr45mMg1g0Ih6Ze/dFOCjx4tNWzotn/3nXT99dJRR0mzZyf9MGQaPGQa\nTOSKCNaIqUCtnusYwTRjhltIVJLGjJFGjarZ7SdMkG680Z2fPFm67LLU1gcAADzHMTBqqtb9m/ny\nS+m449yHqZL7QHXCBPehKwBUZs0aaeRIN0om1jnnSPffLx18sDd1AQBqjDViAFQtdmqyREbExE5N\n9u23ydcDAAAA+MkPP0hnnRVtwgwcKI0fTxMGwP516CD961/Su++6qcsipk2TDj/cNWk2b/auPgBA\nRtCIAWqD2KnJElkjppKpyQAAAACTX9T5+ms3JdDXXyd/Xzt3ShdeKC1d6i4ffrj0739Ldeokf98A\nao/+/aX//leaNElq29Zt27FDGjdO6tZNeuwxqayseveVyn1cqlFbYqgtMdSWGMu1SbbrS+K4l0YM\nfKOYBkDi0rRGDJnYQh72kIkt5GEPmQAB8cMPXlcQr7hYevTR5L9EFA5Lw4ZJr77qLrdq5ab9bdYs\n+RqNYt8cTORqRFaWdPnl0uefS3fcIdWv77Zv2CBdeaV0zDHSnDn7v5/iYhX/7W82vyiZqv1vOhiv\njUwT4IPair/4wutK4ll+3iTb9SVx3EsjBr4xdOhQr0vwr9gdV2xTpboqmZqMTGwhD3vIxBbysIdM\ngIA49FCvK4jXq5f01VfuNBkPPig98og7X6+e9NxzUteuyddnGPvmYCJXY5o0kcaOlZYskX7xi+j2\noiLppz+VfvlLafXqym/fq5eGHnNM8vu4dEjV/jcdjNdGpgnwQW1D77/f60riWX7eJNv1JXHcSyMG\nvjF69GivS/CvyFzWUmKNmJ/8JHo+pqlDJraQhz1kYgt52EMmAEybOVO6+ebo5UcflU480bt6MoR9\nczCRq1FdukjPPCO98YbUu3d0+9SpUvfu0qhR0o8/VnhTMg0eMg0mckUEjRj4Rm5urtcl+FekEZOV\nJTVvXvPb168v5eS48zGNGDKxhTzsIRNbyMMeMgFg1scfu2+kR9ZruPNO6dJLva0pQ9g3BxO5Gnfy\nydLChdLf/hadkWLbNunuu11D5skn49aPyT3qqMzXibTidRpM5IoIGjFAbRBpxLRo4ZoxiYgcDFqc\nnxEAAABIlQ0bpMGDpZISd/n886X//V9vawIQfNnZ0jXXSF98Id16q1S3rtu+dq1rBJ9wghs5M2yY\nG0nToYM7HTYsur8CAJhFIwaoDSKNmNgpxmoqMqXZ999Lu3cnXxMAAABgzdat0jnnSKtWuctHHy1N\nnpz4l5lTi7L5AAAgAElEQVQAoKaaNZPuv1/69FPXFI6YN0869VS3dtXKla5Bs3KlVFAg9etHMwYA\njONoEr4xceJEr0vwpx07pM2b3flE1oeJiNw2HHbNGJGJNeRhD5nYQh72kAkAU8JhaehQ92GnJLVv\nL02fLjVq5G1dGca+OZjI1YcOPdTtg2bNkg4/PO7XexMtK5OWLJHuuiuj5SH1eJ0GE7kigkYMfKOo\nqMjrEvxpT9NEUmpGxEh7pycjE1vIwx4ysYU87CETICC2bfO6gnhbt7pvk2/dWv3b/O//SlOmuPON\nG0szZkht26anPsPYNwcTufrYwIHSRx9JLVuW21wu0bIy17SxIJH9b6YYr63otdfM1mb5ebNeW9H8\n+V5XEs/y8ybZri+J414aMfCNgoICr0vwp8i0ZFJyjZjIGjHS3kYMmdhCHvaQiS3kYQ+ZAAGxYoXX\nFcRbskTq2dOdVkdhoTR6tDsfCkn/+pfUp0/ayrOMfXMwkavPZWdLDRuW2xSX6I4dbmSf12q6/80k\n47UVTJlitjbLz5v12gquvdbrSuJZft4k2/UlcdxLIwYIulQ1YmJHxHz7beL3AwAAAFgyb540ZEj0\n8n33SXl53tUDAPsKhaS6dau+zsaN0jffZKYeAECN0YgBgm7P6BVJqVkjZt/7BAAAAPxq1Srp7LOl\n7dvd5auukm65xduaAKAigwdLWVV8jLd1q/sG+bRpmasJAFBtNGKAoEvj1GQAAACAb23eLJ11VvQb\n5KecIhUUuG+eA4A1Y8dKPXrEN2NCITd1meTeq597rhvlt3lz5msEAFSKRgx8I4/pARKTxqnJyMQW\n8rCHTGwhD3vIBAiIHj28riBebq5bKyE3t+Lf79olXXyx9Mkn7vKhh0rPPCPVq5e5Go1i3xxM5BoA\nOTnS3LlSfr7UubPyGjSQOneWbrxR+uIL14CJmDRJOvJI6e23M1/n/va/XjJeW97gwWZrs/y8Wa8t\nL7IGnSWWnzfJdn1JHPfSiIFv5Ofne12CP6WjEbNnRAyZ2EIe9pCJLeRhD5kA8Mxtt0kzZ7rzLVpI\nL7wgtWzpbU1GsG8OJnINiJwcafx4acUK5U+b5haNHj9e6tJF+s9/XAMmJ8ddd9Uq6eSTpeHDo9Mv\nwjRep8FEroigEQPfGDhwoNcl+FNsIyaZNWJimzjffy+JTKwhD3vIxBbysIdMAHji4YfdB5eSVKeO\n+/CyWzdvazKEfXMwkWvwDBw0qPyGUEi6/HJp0SLppJPctnBYuv9+6Zhj3HaYxus0mMgVETRigKCL\nXc8lmRExzZtHz+9pxAAAAAC+8uqrbhqfiEcecWvDAEBQdO4svf66dN990ekWP/5YOvpo6d57pd27\nPS0PAGorGjFA0MWOiElmuoU6daSmTd35jRuTqwkAAADItCVLpAsuiH4IOXy4dOWV3tYEAOmQne2m\nYFywwK0VI0k7d0q33+6mK1uxwtPyAKA2ohED35g2bZrXJfhTpBGTk5P84qORRs6eETFkYgt52EMm\ntpCHPWQCIGOKi6WzzpI2bXKXzz5b+tOfvK3JKPbNwUSuwVOtTHv1kubPl0aOdFOXSdKcOa4589hj\nbuoymMHrNJjIFRE0YuAbhYWFXpfgT5FGTDLrw0S0aOFOv/9eCofJxBjysIdMbCEPe8gECAiL09zs\n3i1t3uxOt2+Xzj1XWr7c/a5PH+nJJ903xhGHfXMwkWvwVDvT+vWle+6R3nrLTVsmSVu2uBGB554r\nffNNaguL3f9aY7y2wieeMFub5efNem2F//qX15XEs/y8SbbrS6ImGjHwjalTp3pdgv+UlUXXc0lm\nfZiIyIiY3bulLVvIxBjysIdMbCEPe8gECIjPP/e6gngffSQ1ayZ9+KF0zTXuG+CS1LatNGOG1KSJ\nt/UZxr45mMg1eGqc6U9/Ki1aVH5Kxuefl3r2lKZPT11hkf3vRx+l7j5TxXhtU597zmxtlp8367VN\nvf12ryuJZ/l5k2zXl8RxL40YIMh++ME1Y6TUNmKkaIMHAAAAtVu7dl5XEK9LF2nqVPch4xNPuG0N\nG7oPG9u397Y2APBKTo706KPStGlS69Zu27ffuukar7xSKilJ/jG6dJH+/W93ag21JYbaEkNtibNc\nXxLHvXVSWAYAa2KbJaloxESmJovcd6dOyd8nAAAA/K1pU68riCopke6804162by5/PHwE09IRx/t\nXW0AYMXZZ0v9+klXXx0dDfPYY9Ibb7h95YknJn7fLVpIF1yQmjpTjdoSQ22JobbEWa4vieNeRsQA\nQbZxY/R8bBMlUbEjYmLvGwAAAPBaSYn7YLGgQFq5snwT5oADpEGDPCsNAMw54AA3MmbixOh0jStW\nSCedJI0c6dbXAgCkDI0Y+MaQIUO8LsF/0tmI+f57MjGGPOwhE1vIwx4yAZBSd94pLVkSnZo31rff\nSnfdlfmafIh9czCRa/CkJNNQSBo61K3DEBkFEw5L48ZJxx4rffxx8o+BauN1GkzkiggaMfCNgQMH\nel2C//zwQ/R88+bJ319sM2fjRjIxhjzsIRNbyMMeMgGQUjNmVNyEkdwHi6lcjDrA2DcHE7kGT0oz\n7dpVevNN6Z57pLp13bZFi9x0jvffL+3enbrHQqV4nQYTuSKCRgx84+KLL/a6BP9J84gYMrGFPOwh\nE1vIwx4yAZAy4bC0c2fV19m5010PVWLfHEzkGjwpzzQ7201J9v77Us+ebtuOHdLw4dKpp7opH5FW\nvE6DiVwRQSMGCLJUN2Ji7yN2zm0AAADAS6FQ9Fvclalb110PAFC53r1dM+a226L7zLfflo48Upo0\niYY2ACSIRgwQZKmemix2RExskwcAAAC11+rVXlfgDB4sZVXyFjcrS8rLy2w9AOBXDRpI990nvfGG\n1KmT21ZSIg0ZIv3iF27drcp88YU0aJA7tYbaEkNtiaG2xFmuL4njXhox8I05c+Z4XYL/pHlqMjKx\nhTzsIRNbyMMeMgEC4scfva7AGTtW6tEjfntWltv+hz9kviYfYt8cTOQaPBnJ9Gc/c2vFXHFFdNtz\nz7mpy154oeLblJRIr7ziTq0xXtscw7VZft6s1zbn7be9riSe5edNsl1fEse9NGLgG+PGjfO6BP9J\n89RkZGILedhDJraQhz1kAqTfqlWrdNVVV6lr165q1KiRDj30UI0ePVo791lPZc2aNTrzzDPVuHFj\ntWnTRiNGjFBZZQvfW5WTI82dKzVp4i5nZUmdO0v5+W57To6n5fkF++ZgItfgyVimTZtKjz8uPfus\n1KqV2/bNN24U4jXXSFu2ZKaOWoBXaTCNe+IJr0uAEXW8LgCorilTpnhdgv+kemqyxo3d3No7d0ob\nN2pKZd+AgSd4jdhDJraQhz1kAqTf0qVLFQ6H9Y9//EMHH3ywPvnkE1111VUqLS3d+yFeWVmZzjjj\nDB100EGaN2+e1q1bp0svvVT16tXTH/w2iiS22XLYYdKnn3pXi0+xbw4mcg2ejGd67rlSv37SVVdJ\nL77otv3jH9Ls2dITT0gnnJDZegKIV2kwTfnjH70uAUYwIga+0ahRI69L8J/IiJisrNR8AzAUik5P\n9v33ZGIMedhDJraQhz1kAqTfoEGDNHHiRA0YMECdO3fWWWedpdtuu03PPvvs3uvMmjVLS5cu1VNP\nPaVevXpp0KBBuvvuu1VQUKBdu3bt/0EOOCCNf0EN7dwZ/XZ2Kr6IVAuxbw4mcg0eTzJt00aaMUP6\n+9/dFzUlafly6aSTpNtuk264QTrnHDeK5pxzpGHDbE0t1K6d9Oc/u1Nr2rVTI8O1WX7erNfW6JBD\nvK4knuXnTbJdXxLHvTRigCCLNGKaNat84dKaikxP9v33qbk/AAAAZNQPP/ygljFr/82bN0+9evVS\nq8iUM3INnE2bNunT6owo+clP0lFmYjZtip6nEQMAqRcKSVdfLX30kRshI0llZe5D04cektaskTZv\ndqcFBe46VpoxBx4o3XKLO7WG2hJDbYmxXJtku74kjntpxABBFpmaLBXrw0RE3rRv2eK+cQgAAADf\nWLZsmSZMmKDrrrtu77b169frwH3e6EYur1+/PqP1JS12at5UHgMDAMo7+GDp7belsWMr/+JnWZm0\nZIl0112ZrQ0ADKIRA98YPny41yX4SzicnkZMzH0N/81vUne/SBqvEXvIxBbysIdMgMT99re/VVZW\nVqU/2dnZ+vzzz8vdZu3atfr5z3+uiy66SEOHDvWo8jRL9RqJtRD75mAi1+AxkWmdOtIdd1T9rfWy\nMmn69MzV5GMmMkXKkSsiaMTANzp27Oh1Cf5SUiLt3u3Op/JNaMw0Fh35lqEpvEbsIRNbyMMeMgES\nd9ttt2np0qWV/ixZskRdu3bde/1169bp1FNP1Yknnqi//e1v5e6rTZs22rBhQ7ltkctt2rTZby1n\nnHGG8vLyyv3069dP06ZNK3e9V155RXl5eXG3v+GGGzRx4sRy24qKipSXl6fi4uJy23//+9/r3nvv\nLbdt9erVysvL09KlS6NT80p68Isv4j78KC0tVV5enubMmVNue2FhoYYMGRJX20UXXeTN3xHjwQcf\nzOjfMW/evED8HUHJI1V/R/369QPxdwQlj1T8HfseR3n2d4TDe0fEPChp34+cSyXlrV+vOe+8U+Hf\nsS+/5pGKvyM2Uz//HbH4O6Lvefz+d0TUpr+jsLBQeXl56tu3rzp27Ki8vDzdfPPNcTVWVygcDocT\nvnVAFRUVqW/fvlq4cKFyc3O9LgdIzOrVUqdO7vz550tPP52a+73pJumvf3Xn33svOicsAADwNY6B\ng2vt2rU69dRTdcwxx+if//ynQqFQud+//PLLGjx4sL7++uu968T8/e9/18iRI/XNN9+obt26Fd6v\nyX8zTz8tXXihO3/ffW7xaABAenXpIq1cWfnvDzxQ8ttUlwBQgWSOfxkRAwRVzLcBUzo1WezomtjF\nUAEAAGDOunXrdPLJJ6tTp04aN26cvvnmG23YsKHcCJiBAwfq8MMP16WXXqpFixZp1qxZ+t3vfqf8\n/PxKmzBmMTUZAGTe4MGVrxMjSd98I02Y4EbPAEAtRSMGCKrYRkwq34TG3lfsG10AAACY8+qrr2r5\n8uWaPXu2OnTooIMOOkht27bVQQcdtPc6WVlZeuGFF5Sdna3+/fvrsssu0xVXXKExY8ZU70G+/jpN\n1Scg9viUaXQBIDPGjpV69Ki8GRMOSzfeKF15pbRtW2Zri7VqlXTVVe7UGmpLDLUlxnJtku36kjju\npRED39h3Lj/sR7rehDZrtvfs0s8+S939Imm8RuwhE1vIwx4yAdLv8ssv1+7du8v9lJWVaXdkLcE9\nOnTooBdeeEFbtmzRhg0bdO+99yqrqm83x9q+PQ2VJ4gRMUlj3xxM5Bo8pjLNyZHmzpXy86XOnaV2\n7dxpfr70m99Er/f449LJJ0tr13pT57Zt0qefetsMqsy2bVq6YIHZ2iw/b9ZrW7p4sdeVxLP8vEm2\n60viuNeXjZiCggJ16dJFDRs21PHHH6/333+/yus/9dRT6tOnjxo3bqyDDjpIV155pb7//vsMVYtU\nGTFihNcl+EsGpiYbMXVq6u4XSeM1Yg+Z2EIe9pAJEBCdO3tdQVS6RoXXIuybg4lcg8dcpjk50vjx\n0ooV0po17vTBB6UHHpAKC6WGDd31/vtf6eij3Zqzmda9u2sYde+e+cfen+7dNaJjR7O1WX7erNc2\n4uGHva4knuXnTbJdXxLHvb5rxEydOlW33nqrxowZow8++EC9e/fWoEGDVFxcXOH13333XV1++eW6\n+uqrtXjxYj3zzDOaP3++rrnmmgxXjmRNmDDB6xL8JV3fBowZETPhlFNSd79IGq8Re8jEFvKwh0wA\npBwjYpLGvjmYyDV4TGcaCpW//MtfSu++K3Xs6C6vX+9Gxjz6aMZLs8x0pkgYuSLCd42YBx54QNde\ne60uu+wyHXbYYXrkkUfUqFEjPfbYYxVef968eerSpYtuuOEGderUSf3799e1116r+fPnZ7hyJKtj\n5D9sVE8GRsR0ZKE9U3iN2EMmtpCHPWQCIOVYIyZp7JuDiVyDx3eZHnWUtGCBa8BI0s6d0tVXS9df\nL+3Y4WlpVvguU1QLuSLCV42YnTt3auHChRowYMDebaFQSKeddprmzp1b4W369eunNWvW6KWXXpIk\nbdiwQU8//bTOPPPMjNQMeCZd0zLEjIgp90YXAAAA8Frs8WnTpt7VAQCI17q19Mor0rBh0W0PPyyd\ndpq0YYN3dQFABviqEVNcXKzdu3frwAMPLLf9wAMP1Pr16yu8Tf/+/fXkk0/qoosuUr169dS2bVu1\naNGCYWEIvnR9GzC2qbNpU+ruFwAAAEhW5MtIOTlSnTre1gIAiFe3rltL5rHHpHr13LZ33nHrxixY\n4G1tAJBGvmrEJGLx4sW66aabNHr0aBUVFWnWrFlasWKFrr322v3e9owzzlBeXl65n379+mnatGnl\nrvfKK68oLy8v7vY33HCDJk6cWG5bUVGR8vLy4ta0+f3vf69777233LbVq1crLy9PS5cuLbf9wQcf\n1PDhw8ttKy0tVV5enubMmVNue2FhoYYMGRJX20UXXeS7v+Poo48OxN+RsTw2btTvJd0rlWvEJP13\nNGumQklDJN37ySfp/zsUkDwy8Hfse99+/Tv25ee/I/b+/fx3xPLz30Ee9v6OyGP4/e+I8NPfUVhY\nqL59+6pjx457j3NvvvnmuDoB34l8GYn1YRK27/4GwUCuweP7TIcMkd5+WzroIHf5q6+kn/5U+uc/\nva3LQ77PFBUiV+wV9pEdO3aE69SpE37++efLbb/88svD55xzToW3ufTSS8MXXHBBuW1z5swJh0Kh\n8Pr16yu8zcKFC8OSwgsXLkxN4UiJUaNGeV2Cv/TvHw5L7mfHjtTed6NG4bAUHtW6dWrvF0nhNWIP\nmdhCHvaQiS0cA6Om9v6beestr0uJatDAHf8eeaTXlfgW++ZgItfgCUym69aFw/36RT+/kMLhm28O\nh3fuTP1jbdoUDr/8sju1ZtOm8Khf/9psbZafN+u1jRo50utK4ll+3sJh0/UtfOuthN8z+WpETN26\nddW3b1/Nnj1777ZwOKzZs2erf//+Fd6mtLRUdfYZkp6VlaVQKKQwC437ypgxY7wuwV8i3wZs3NgN\n/U2lPd8wHBMZRgwTeI3YQya2kIc9ZAIExJo1XlfgbNvmfiRGxCSBfXMwkWvwBCbTtm2lN96Qrr46\nuu2BB6TTT5e++y61j7VsmbvfZctSe7+psGyZxjz1lNnaLD9v1msbc+GFXlcSz/LzJtmuL4njXl81\nYiTplltu0T/+8Q898cQTWrp0qa677jqVlpbqiiuukCT99re/1eWXX773+oMHD9Z//vMfPfLII1qx\nYoXeffdd3XTTTTruuOPUpk0bj/4KIAMi82Oncn2YiGbN3ClrxAAAAMCK2DUSacQAgH/Ury/9/e/S\nww9H1/eaPdutG7Nokbe1AUCK+G71wgsvvFDFxcUaNWqUNmzYoD59+mjWrFlq3bq1JGn9+vVaE9OZ\nuvzyy7VlyxYVFBTotttuU/PmzTVgwADdc889Xv0JQGZEGjHpeBMauc8tW6Rdu1gIFQAAAN6jEQMA\n/nbdddIRR0jnny998420cqXUr580aZJ0wQVeVwcASfHdiBhJuv7667Vy5Upt3bpVc+fOLbeI++OP\nP67XX3+93PVvuOEGffzxx9qyZYu++uorTZ48WW3bts102UjSvgvXogqx0zKkcURMsSRt3pz6+0dC\neI3YQya2kIc9ZAIEhJUv5dCISQn2zcFErsET2Ex/+lNpwQKpb193ubRUuvBC6Y47pN27k7vvunWl\ndu1SP317KtStq+I2bczWZvl5s15b8ZYtXlcSz/LzJtmuL4njXl82YlA7DR061OsS/CN2yrA0jogZ\nKpV/wwtP8Rqxh0xsIQ97yAQIiEMP9boCJ/a4NB1fRqol2DcHE7kGT6Az7dBBeucd6dJLo9v+9Ccp\nLy+5zyB69ZK++sqdWtOrl4Yec4zZ2iw/b9ZrG3r//V5XEs/y8ybZri+J414aMfCN0aNHe12Cf8Q2\nYiLruaTSnvscLdGIMYTXiD1kYgt52EMmAFKKETEpwb45mMg1eAKfacOG0uTJ0gMPSNnZbtvMmdJx\nx0lLlnhbW5oEPtNailwRQSMGvpGbm+t1Cf6R7kbMnje2ufs+FjzFa8QeMrGFPOwhEwApFVkjUaIR\nkwT2zcFErsFTKzINhaTf/EaaNUtq2dJt+/xz14yZPt3b2tKgVmRaC5ErImjEAEEU2xxp2jT19x/7\nxpYRMQAAALCAETEAEEwDBrh1Y4480l0uKZHOPlu6+26prMzb2gCgmmjEAEG0eXP0fBqnJpPEiBgA\nAADYwBoxABBcXbpI770nXXhhdNuoUdL557vGDAAYRyMGvjFx4kSvS/CPDE1NNlFiRIwhvEbsIRNb\nyMMeMgGQUoyISQn2zcFErsFTKzNt3FiaMkX605/ctGWS9NxzUr9+0rJl3taWArUy01qAXBFBIwa+\nUVRU5HUJ/pHuRsye+yza97HgKV4j9pCJLeRhD5kAAbFtm9cVOKwRkxLsm4OJXIOn1mYaCkm33y69\n+GL0845PP5WOOcatJVOVrVvddbduTX+dNbV1q4pee81sbZafN+u1Fc2f73Ul8Sw/b5Lt+pI47qUR\nA98oKCjwugT/iJ2aLI1rxBRIjIgxhNeIPWRiC3nYQyZAQKxY4XUFDiNiUoJ9czCRa/DU+kx//nNp\n/nypRw93+YcfpDPOkO67TwqHK77NkiVSz57u1JolS1QwZYrZ2iw/b9ZrK7j2Wq8riWf5eZNs15fE\ncS+NGCCIMjQiJu6xAAAAUPt06uR1BU6kEZOVJeXkeFsLACD9unWT5s2T8vLc5bIyacQI6de/lkpL\nK77+e++5U2uoLTHUlhjLtUm260viuJdGDBBEGVojRhIjYgAAAGq7Ro28rsCJHJc2a+aaMQCA4Gva\n1K0T8/vfR7cVFkonnCCtWlX+uk2auPVkmjTJbI3VQW2JobbEWK5Nsl1fEse9HJ0CQRTbiEnj1GSS\naMQAAADAhsgaMUxLBgC1S1aWNHq09Oyz0Q9uP/xQOvpo6c03y1+3smnLACDNaMTAN/IiQ02xf7Fr\nxKRjREyjRlJ2tvIkpiYzhNeIPWRiC3nYQyYAUiYcjn5BiEZMUtg3BxO5Bg+ZVuDcc91UZYcc4i4X\nF0unnebWjbnxRqlLF6lDB3c6bJhUUuJtvfsg02AiV0TU8boAoLry8/O9LsE/Ypsj6ZgfOxSSmjdX\n/nffMSLGEF4j9pCJLeRhD5kASJnSUmnXLneeRkxS2DcHE7kGD5lW4ogjpPnzpYsvlmbNknbvduvG\n7KugQHr9dWnuXDPripFpMJErIhgRA98YOHCg1yX4R6QRk5MjZWen5zGaNdPA2MeC53iN2EMmtpCH\nPWQCIGVivxzUooV3dQQA++ZgItfgIdMqtGghvfiiNHJk5dcpK5OWLJHuuitzde0HmQYTuSKCRgwQ\nRJGpydKxPkxE5JuGP/zAHKsAAADwVmwjhhExAIDsbOmee6RWrSq/TlmZNH165moCUKvRiAGCKDJK\nJR3rw0RE7nv3bjcVBAAAAGqn5cu9rkDauDF6nkYMAEByXxqtX7/q6+zcaePLpYsXu2nVFi/2upJ4\n1JYYakuc5fqSOO6lEQPfmDZtmtcl+MOuXdKPP7rz6WzENG+uvYmwTowJvEbsIRNbyMMeMgECYvt2\nrytgREwKsW8OJnINHjKthlBIqlu36uvUreuu57Vt2zRt8WJp2zavK4m3bZv7QJzaamZPbdNeesnr\nSuJZft4k2/UlcdxLIwa+UVhY6HUJ/hCZlkxK+4iYvYnQiDGB14g9ZGILedhDJgBShjViUoZ9czCR\na/CQaTUNHixlVfHx5yGHZK6W/SDRYCqcNcvrEmAEjRj4xtSpU70uwR9iGzHpXCOmaVPtTaSkJH2P\ng2rjNWIPmdhCHvaQCYCUYURMyrBvDiZyDR4yraaxY6UePSpvxrz2mnTffZmtqRIkGkxT77nH6xJg\nBI0YIGgi68NI6R0RE9vkiW3+AAAAoHZp187rClgjBgBQsZwcae5cKT9f6tzZ/Z/VqZPUu3f0OiNG\nSMOHe7tWTJcu0r//7U6tobbEUFviLNeXxHEvjRggaGjEAAAAIJPSOQq7uhgRAwCoTE6ONH68tGKF\ntGaNtHKl9MEH0t13R69z//3S0KFu3V0vtGghXXCBzek1qS0x1JY4y/UlcdxLIwYImthGTJqnJtuL\nRgwAAAC8xBoxAIDqCIWip3fdJT3ySHTbpEnSeedJW7d6Vh6A4KIRA98YMmSI1yX4Q2xTJM0jYvYm\nQiPGBF4j9pCJLeRhD5kASBlGxKQM++ZgItfgIdMUufZaNwVSvXru8owZ0qBB5f9fyRAyDSZyRQSN\nGPjGwIEDvS7BHzI4NdneRGjEmMBrxB4ysYU87CETACnDGjEpw745mMg1eMg0hc4/X5o5U2rSxF1+\n5x3pZz+Tvv46o2WQaTCRKyJoxMA3Lr74Yq9L8IcMNmL2JlJSkr7HQbXxGrGHTGwhD3vIBEDKRL65\nXKeO1KiRt7X4HPvmYCLX4CHTFBswQHrjDalVK3d50SLpxBOlL7/MWAlkGkzkiggaMUDQxI5OYY0Y\nAAAA1AaRRkzz5tG5/gEAqImjj5befVfq2NFdXr5cOuEE6cMPva0LQCDQiAGCJoMjYvaiEQMAAFB7\nrV7tdQXRRkyLFt7WAQDwt27dpPfek444wl3esMFNU/bWW+l93C++cGvTfPFFeh8nEdSWGGpLnOX6\nkjjupRED35gzZ47XJfhDBhsxexOhEWMCrxF7yMQW8rCHTICAyPL4bWVZWfQYmPVhksa+OZjINXjI\nNI3atZPeflvq189d3rzZfSj8/PPpe8zsbM3ZsUPKzk7fYyQqO9t9GZfaamZPbXM++MDrSuJZft4k\n26zMci4AACAASURBVPUlcdxLIwa+MW7cOK9L8IdMNWJycrQ3ERoxJvAasYdMbCEPe8gECIj27b19\n/JIS14yRaMSkAPvmYCLX4CHTNGvZUnr1VennP3eXt2+XzjtPevzx9Dxe164al5Mjde2anvtPRteu\n0tNPU1tN7alt3JNPel1JPMvPm2S7viSOe2nEwDemTJnidQn+kKk1YurV05T69eMfE57hNWIPmdhC\nHvaQCYCUiExLJtGISQH2zcFErsFDphnQuLEbBfPrX7vLZWXS0KFSmppgZBpM5IoIGjHwjUaNGnld\ngj9ERsTUr+9+0qhRZMQNjRgTeI3YQya2kIc9ZAIgJWIbMawRkzT2zcFErsFDphlSt670xBPSTTdF\nt40cKQ0fLoXDKX0oMg0mckUEjRggaCKNmHROSxYRGXFDIwYAAABeYUQMACCdsrKkBx6Q/vCH6Lb7\n75eGDJF27fKuLgC+QiMGCBqvGjEp/iYIAAAAUC0bN0bP04gBAKRDKCTdeaf0t79FF+uePNmtG7N1\nq7e1AfAFGjHwjeHDh3tdgn3hcHR0SjrXh9lj+LffujO7dknbtqX98VA1XiP2kIkt5GEPmQBICUbE\npBT75mAi1+AhU49cc430739L9eq5yzNmSAMHlv+/KEFkGkzkiggaMfCNjh07el2CfaWlbvE4KSON\nmI6xo26YnsxzvEbsIRNbyMMeMgECInZEihdYIyal2DcHE7kGD5l66Be/kF56SWrSxF2eM0f62c+k\nr79O/D6Li9Xxq6+k4uLU1JhKxcXSo49SW03tqa1jy5ZeVxLP8vMm2a4vieNeGjHwjRtvvNHrEuwr\nKYmez8lJ+8Pd2KdP9AKNGM/xGrGHTGwhD3vIBAiI9eu9fXxGxKQU++ZgItfgIVOPnXqq9OabUuvW\n7vKiRdKJJ0pffpnY/a1erRunTJFWr05ZiSmzerV09dXUVlN7artx0CCvK4ln+XmTbNeXxHEvjRgg\nSGIbMRkYEVPuMWjEAAAAwAusEQMA8ELfvm40TKdO7vLy5dIJJ0gffuhtXQBMohEDBElsMyQDI2Jo\nxAAAAMBzjIgBAHilWzfp3XelI45wlzdscNOUvfWWt3UBMIdGDHxj6dKlXpdgX4anJlu6bVv0Ao0Y\nz/EasYdMbCEPe8gECIiGDb19fBoxKcW+OZjINXjI1JB27aS335b693eXN2+WBg2Spk2r/n00bqyl\nvXtLjRunp8ZkNG4sHX88tdXUntqWbtjgdSXxLD9vku36kjjupRED3xgxYoTXJdiX4UbMiNdei16g\nEeM5XiP2kIkt5GEPmQAB0bmzt49PIyal2DcHE7kGD5ka07Kl9Oqr0s9/7i5v3y794hfSY49V7/bd\nu2tEx45S9+7pqzFR3btLc+dSW03tqW3Eww97XUk8y8+bZLu+JI57acTANyZMmOB1CfZleI2YCUOH\nRi/QiPEcrxF7yMQW8rCHTACkRKQR06CB+0FS2DcHE7kGD5ka1KiR9Pzz0iWXuMtlZdKVV0rjxknh\n8H5vTqbBRK6IoBED3+jYsaPXJdiX4TViOnbtWvFjwxO8RuwhE1vIwx4yAZASGze6U0bDpAT75mAi\n1+AhU6Pq1pUmT5Z+85votpEjpeHDXWOmCmQaTOSKCBoxQJBkeGqycqNuaMQAAADAC5ERMTRiAAAW\nZGVJ//d/0tix0W1//rM0dKi0c6d3dQHwFI0YIEhoxAAAAKA22bUregzcooW3tQAAEBEKSXfcIf39\n764xI7mRMuedJ5WWelsbAE/QiIFv3HvvvV6XYF+GGzH3FhZGL9CI8RyvEXvIxBbysIdMACQt9hiU\nETEpwb45mMg1eMjUJ66+Wnr6aalePXf5hRekQYOiozljkGkwkSsiaMTAN0r5xsD+xTZiYkerpElp\n7GJzNGI8x2vEHjKxhTzsIRMgILZs8e6xI+vDSDRiUoR9czCRa/CQqY+cd5708svRL8zOmSOddJL0\n9dfR62zerNKPP7b52crmzdKsWdRWU3tqK409VrHC8vMm2a4vieNeGjHwjTFjxnhdgn2xO6gMjIgZ\nc/fdFT82PMFrxB4ysYU87CETICDWrPHusWO/UUwjJiXYNwcTuQYPmfrMKadIb74ptW7tLn/8sXTC\nCdKyZe7ysmUa89RT0cuWLFsmnX46tdXUntrGXHih15XEs/y8SbbrS+K4l0YMECSZXiOmYUMpOzv+\nsQEAAFB7HHKId48d24hhjRgAgGW5uW40TKdO7vKKFVL//tLFF7tRM23auNNhw2x9xtKzp/vwuWdP\nryuJR22JsVybZLu+JI57acQAQZLpRkwoFJ0CjRExAAAAtVPdut49NiNiAAB+0q2b9N570Q+Yv/1W\nmjJFWrVKWr/enRYUSP362WnG1KsntW8fXefGEmpLjOXaJNv1JXHcSyMGvlFcXOx1CfZF/pNu0CAj\nb4iLi4tpxBjCa8QeMrGFPOwhEwBJY42YlGPfHEzkGjxk6mMHHSS9/bbUtm25zXsTLSuTliyR7ror\n46Uh9XitIoJGDHxj6NChXpdgX6QRk4nRMNqTCY0YM3iN2EMmtpCHPWQCIGmMiEk59s3BRK7BQ6Y+\n16JF3BdoyyVaViZNn57RkpAevFYRQSMGvjF69GivS7Av0gzJUCNm9OjR0UbM1q3Szp0ZeVxUjNeI\nPWRiC3nYQyYAkkYjJuXYNwcTuQYPmfpcOCzt3l1u0+h9r7Nzp7sefI3XKiJoxMA3cnNzvS7BvgyP\niMnNzY02YiRGxXiM14g9ZGILedhDJgCSFtuIadHCuzoChH1zMJFr8JCpz4VCcSNi4hKtW9ddD77G\naxURNGKAoNixw/1IGWvExD2WlYXkAAAAUDuwRgwAwK8GD5ayqvho9sgjM1cLgLSjEQMERWwTJHaU\nSrrFNmK2bMnc4wIAAMCGzz7z7rGZmgwA4Fdjx0o9elTejJk1S3rttczWVJEPP3SfM334odeVxKO2\nxFiuTbJdXxLHvTRi4BsTJ070ugTbYqcFy9CImIkTJzIixhBeI/aQiS3kYQ+ZAAFRVubdY8c2Ypo1\n866OAGHfHEzkGjxkGgA5OdLcuVJ+vtS5syY2by516iQdcoj7/fbtUl6e9OabnpapsjL3eY+X/99X\nxge1TXz2Wa8riWf5eZNs15dETTRi4BtFRUVel2BbbBMkQ42YoqIiqUmTimtAxvEasYdMbCEPe8gE\nQNIijZgmTeLm2kdi2DcHE7kGD5kGRE6ONH68tGKFii6+WFq5Ulq8WDrnHPf7rVuls86S5szxtEwk\nrmjpUq9LgBE0YuAbBQUFXpdgmweNmIKCAkbEGMJrxB4ysYU87CETAEmLNGKYlixl2DcHE7kGD5kG\nT8FDD7kzdetKU6dKZ57pLv/4o3TGGdK8ed4Vh4QV3H671yXACBoxQFB40IiJeyzWiAEAAKh9OnXy\n7rE3bnSnNGIAAEFSr570zDPSoEHuckmJdPrp0oIFma+lWzfpvffcqTXUlhjLtUm260viuJdGDBAU\nsY2Ypk0z97iMiAEAAKjdGjXy5nG3b3dTtkg0YgAAwdOggfTcc9Kpp7rLmzZJAwdmfgHzJk2kfv3K\nT01vBbUlxnJtku36kjjupREDBMXmzdHzmRwRwxoxAAAA8MKmTdHzLVp4VwcAAOnSsKE0fbp00knu\n8saN0mmnSZ984m1dAGqMRgx8Iy8vz+sSbPNgarK8vDxGxBjCa8QeMrGFPOwhEwBJiawPIzEiJoXY\nNwcTuQYPmQZPpZk2biy98ILUv7+7/N130oAB0pIlmSsOCeO1iggaMfCN/Px8r0uwzYNGTH5+PmvE\nGMJrxB4ysYU87CETAEmJrA8j0YhJIfbNwUSuwUOmwVNlpjk50syZ0rHHusvffOOmLPv888wUh4Tx\nWkUEjRj4xsCBA70uwTYP1ogZOHAgI2IM4TViD5nYQh72kAmApDAiJi3YNwcTuQYPmQbPfjNt1kx6\n+WUpN9ddXr/eNWO+/DL9xSFhvFYRQSMGCAoPRsRIYo0YAAAAn9ixY4f69OmjrKwsLVq0qNzv1qxZ\nozPPPFONGzdWmzZtNGLECJWVlXlUaTXRiAEA1DYtWkivvCIdeaS7vHata8asWuVtXQD2i0YMEBSb\nN0fPZ7IRw4gYAAAAXxgxYoTat2+vUChUbntZWZnOOOMM7dq1S/PmzdPkyZM1adIkjRo1qnp3vHx5\nGqqththGTIsW3tQAAECm/eQn0muvSYcf7i6vXi2dcor01VfpebzFi6UjjnCn1lBbYizXJtmuL4nj\nXhox8I1p06Z5XYJtHoyImTZtWvkRMawR4yleI/aQiS3kYQ+ZAJnz0ksv6dVXX9X999+vcDhc7nez\nZs3S0qVL9dRTT6lXr14aNGiQ7r77bhUUFGjXrl37v/PGjdNU9X6wRkxasG8OJnINHjINnhpl2rq1\nNHu21L27u7xihRsZs25d6gtr2lQaNChj0+DXiA9qm/bee15XEs/y8ybZri+J414aMfCNwsJCr0uw\nzYNGTGFhoVSnjtTw/7N37/FRVPf/x9+bECAgIoIEBaPgFZSqiRfwq9ZWSxRltd6oWq7eUNHWC3hD\nAZW2UBUtoP1qEfHSSCkKiAhY2qootv5IC9WC4FcUWgGNIgjhEpL9/TFMdkPu2d05Z05ez8cjj51Z\nkp3P5s0MQz4552RXrQGB4xyxD5nYhTzsQyZAMDZt2qTrr79eL774orL9+7YE77//vnr27KkOHTpU\nPFdQUKAtW7boo48+qvsAOTmpLLf+mJosLbg2u4lc3UOm7mlwpp06SX/+s3Tkkd7+mjXSOedImzal\ntrAuXaTHHvMebROC2grffNN0JVXZ/H2T7K4vifteGjEIjRkzZpguwW5+EyQzM94YSbOKTPxRMTRi\njOIcsQ+Z2IU87EMmQDCGDBmim266SSeddFK1f75x40bl7POfSn9/48aNaa+v0WjEpAXXZjeRq3vI\n1D2NyvSQQ7xmTNeu3v6qVV4z5quvUlscGo1zFT4aMYAr/DVi2rSR9pn3O+38ETg0YgAAAAJxzz33\nKCMjo8aPzMxMrV69Wr/5zW+0bds23XXXXZJUZVqyUGONGAAApEMP9Zoxhx7q7X/0kfSjH0nffGO2\nLgCV0IgBXOE3QQKalqwSGjEAAACBuvPOO7Vq1aoaP1auXKmuXbvqL3/5i5YuXaoWLVooKytLRx11\nlCTp5JNP1pAhQyRJnTp10qZ9pjHx9zt16lRnLX379lU0Gq300bt37ypz3S9atEjRaLTK1998882a\nOnVqpeeKiooUjUZVXFxc6fnRo0dr/Pjx3s7eRsw6SdEbb9SqVasqfe6kSZM0YsSISs+VlJQoGo1q\nyZIllZ4vLCys+H4k6t+/f/rfx17r1q1TNBrlffA+eB+8D94H76Ph7+PWW7Xqd7/zRshI0vLlmnTi\niRpxyy3heh+u5MH7cOJ9FBYWKhqNKj8/X7m5uYpGo7rtttuq1FhfkZhTvxKVGkVFRcrPz9eyZcuU\nl5dnuhygfvbbT9q+XerRw/vthyCdeabkX2x37ZKaNw/2+AAAIGncA7vpP//5j7b6I6clffHFFyoo\nKNCsWbN06qmn6pBDDtGCBQvUr18/bdiwoWKdmKefflp33XWXvvzyS2VlZVX72sb/zpx2mvT3v3uj\nwffskTL4PUMAQBP38cfS2WdL/tSip50mLVpk56LnQAglc//LnSpCo7oOKvYqL/eaMFKg/7hWZOKv\nESNJ27YFdnxUxjliHzKxC3nYh0yA9OvSpYt69OhR8XHUUUcpFoupW7duOmTvb8326dNHPXr00IAB\nA7RixQotXLhQ999/v4YPH15jE8YK/tRk++9PEyaFuDa7iVzdQ6buSUmmxxwjLV4sHXSQt/+3v0l9\n+/KzGoM4V+HjbhWh0adPH9Ml2CvxH9QApyaryCTxmExPZgzniH3IxC7kYR8yAcyI7LOeYEZGhubN\nm6fMzEydfvrpGjhwoAYPHqyxY8fW7wVNLQjsN2JYHyaluDa7iVzdQ6buSVmmPXp4zZj27b39d9+V\nLrxQKilp3Ott2CCNGeM92iYEtfU55RTTlVRl8/dNsru+JO57acQgNK688krTJdgrYbqJIBsxFZnQ\niLEC54h9yMQu5GEfMgGCd9hhh6msrEzf+973Kj1/6KGHat68edq2bZs2bdqk8ePHK6O+o0z2mZ87\nELFYvBFzwAHBH99hXJvdRK7uIVP3pDTTnj2lN9+M/xv51lvSRRdJO3Y0/LU2bJDGjrXzh+IhqO3K\nXr1MV1KVzd83ye76krjvpREDuCCx+RFgI6baYzLcFQAAAOm2Y4e0e7e3TSMGAICqTjqp8vowf/qT\ndMkl3tq+AAJHIwZwgU2NGEbEAAAAIN380TASjRgAAGpyyinSggXxtX0XLJAuvzz+ywwAAkMjBqGx\nZMkS0yXYK7H54f+mQwAqMvH/Qd+3FgSKc8Q+ZGIX8rAPmQCOMPGLQDRi0oZrs5vI1T1k6p60Zdq7\ntzR/vtSqlbf/2mvST34ilZbW7+sPOEC67DI7/70NQW1LPvnEdCVV2fx9k+yuL4n7XhoxCI0JEyaY\nLsFehkbEVGTCiBgrcI7Yh0zsQh72IRPAEV26BH/MxEZMu3bBH99hXJvdRK7uIVP3pDXTM8+U5s2T\nWrb09l99VRowQNqzp+6v7dZNmjnTe7RNCGqb8OKLpiupyubvm2R3fUnc99KIQWi8/PLLpkuw19at\n8e0AGzEVmbBGjBU4R+xDJnYhD/uQCYBG27w5vm3jb0uGGNdmN5Gre8jUPWnP9Ac/kObMkVq08PZn\nzJCGDJHKytJ73CaOcxU+GjEIjVb+EEpUZWhETEUmjIixAueIfcjELuRhHzIB0GhMTZY2XJvdRK7u\nIVP3BJJpnz7SK69IWVne/osvStddJ5WXp//YTRTnKnw0YgAXGFojpgJrxAAAACBINGIAAGicvn29\naZ+aNfP2p02TbrxRisXM1gU4jkYM4AJDI2KqPSaNGAAAAKQba8QAANB4F10kvfyylJnp7T/9tHTr\nrTRjgDSiEYPQGDFihOkS7GVojZiKTFgjxgqcI/YhE7uQh33IBECjMSImbbg2u4lc3UOm7gk800sv\nlV54QcrY++PhyZOlO+6gGZNinKvw0YhBaOTm5pouwV6GRsRUZMKIGCtwjtiHTOxCHvYhE8ARmzeb\nPSaNmJTi2uwmcnUPmbrHSKZXXulNTRaJePsTJ0r33FO5GVNcLP3ud96jbUJQW+6BB5qupCqbv2+S\n3fUlcd9LIwahccstt5guwV6GGjEVmbBGjBU4R+xDJnYhD/uQCeCIjRuDPyYjYtKGa7ObyNU9ZOoe\nY5kOHCg980x8f/x4acyY+P66ddJ113mPtglBbbcUFJiupCqbv2+S3fUlcd8bykbMlClT1LVrV2Vn\nZ6tXr1764IMPav383bt367777tPhhx+uli1bqlu3bnruueeCKRYIAmvEAAAAwJTu3YM/JmvEAACQ\nOtdcIz31VHz/wQelhx/2tvPypPJy79E2eXne6B1qaxiba5Psri+J+95mKSwjEDNmzNAdd9yhp59+\nWqeeeqomTpyogoICrV69Wh06dKj2ay6//HJ99dVXmjZtmo444ght2LBB5eXlAVcOpFHiuiyJo1OC\n0qyZ1LKltHMna8QAAAAg/fxGTGam1Lq12VoAAHDBsGHS7t3Sz37m7d9/v/TGG9IXX0ilpVJWltSv\nnzRunJlfAgZCLnQjYiZOnKgbbrhBAwcO1LHHHqvf/va3atWqlZ599tlqP3/BggV65513NH/+fP3g\nBz9Qbm6uTjvtNPXu3TvgypGsVatWmS7BXn7zIzvb+89oQCpl4v8jzIgYYzhH7EMmdiEP+5AJgEbz\n5+c+4ID4vPZICa7NbiJX95Cpe6zI9NZbpUceie+/95702WfSf//rPU6ZIvXuzc9+GsCKXGGFUDVi\nSktLtWzZMp1zzjkVz0UiEZ177rlaunRptV/z2muv6eSTT9b48ePVpUsXHXPMMRoxYoR27twZVNlI\nkZEjR5ouwV7bt3uPAY+GqZSJf2z+MTaGc8Q+ZGIX8rAPmQBoNH9EDOvDpBzXZjeRq3vI1D3WZHrH\nHV6zpTrl5dLKldKoUcHWFGLW5ArjQjU1WXFxscrKypSTk1Pp+ZycHH388cfVfs2nn36qd955Ry1b\nttTs2bNVXFysG2+8Ud98842mTp0aRNlIkcmTJ5suwV7+iJiAp2WolAkjYozjHLEPmdiFPOxDJgAa\nJRajEZNGXJvdRK7uIVP3WJXphg01/1l5uTR3rvTEE8HVE2JW5QqjQjUipjHKy8uVkZGh3//+9zr5\n5JN13nnn6bHHHtP06dO1a9euWr+2b9++ikajlT569+6t2bNnV/q8RYsWKRqNVvn6m2++uUqzp6io\nSNFoVMXFxZWeHz16tMaPH1/puXXr1ikajVYZwjZp0iSNGDGi0nMlJSWKRqNasmRJpecLCws1ZMiQ\nKrX1798/dO9j9OjRTryPtOSxdauikopbtgz0feTm5safbNNG/SXN3rXLmzu0Me/DlTwMvY9KeYT4\nfewrzO8jMZMwv49EYX4f5GHf+/AzCfv78IXpfRQWFio/P1+5ubkV97m33XZblToBK23b5v0QSJLa\ntTNbi4P2vaeEG8jVPWTqHmsyjcUq/VynWqWl3uehTtbkCuMisVh4zprS0lK1atVKs2bNqvQf2sGD\nB2vLli169dVXq3zN4MGD9d5772n16tUVz61atUrHHXecVq9erSOOOKLK1xQVFSk/P1/Lli1TXl5e\net4MkCplZVKzvYPbevWSapimL+3OP19asMDb/uYb/lMMAEDIcA+Mhqr4O/P3vyvvlFOCO/C6ddJh\nh3nbl10mzZwZ3LEBAGgKunb11oSpyeGHS2vXBlVNzcrKvOn6W7cOdM3keqG2xrO4vqIPPlD+qac2\n6v9MoRoRk5WVpfz8fC1evLjiuVgspsWLF+v000+v9mv+53/+R1988YVKSkoqnvv444+VkZGhLl26\npL1mIO0S/m4HvUZMJYnHZnoyAACApiPhl94C4U9LJjE1GQAA6dCvn5RRy4+Nzz47sFJqtXy51Lat\n92gbams8m+tL4r43VI0YSbr99tv1zDPP6Pnnn9eqVas0bNgwlZSUaPDgwZKke+65R4MGDar4/Kuu\nukrt27fXkCFDtHLlSr399tsaOXKkrrnmGrVo0cLQu0Bj7DslB/bavj2+HXAjplIm/hoxEo0YQzhH\n7EMmdiEP+5AJgEahEZNWXJvdRK7uIVP3WJXpuHFS9+41N2OWLvVmQ0Gdxj/3nOkSYIlmpgtoqCuu\nuELFxcV64IEHtGnTJp144olauHChDjroIEnSxo0btX79+orPb926td58803dcsstOuWUU9S+fXv1\n799fDz30kKm3gEZKHNWEBNu2xbdbtw700JUySWzEJNaEwHCO2IdM7EIe9iETAI2S2IhhOtyU49rs\nJnJ1D5m6x6pM27Txmi2jRklz53prwmRkeL94++230scfSxdfLC1aJO2zXjEqK9m503QJsEToGjGS\ndNNNN+mmm26q9s+mTZtW5bmjjz5aCxcuTHdZSLOxY8eaLsFOiU2PgEfEVMqEETHGcY7Yh0zsQh72\nIRMAjcKImLTi2uwmcnUPmbrHukzbtJGeeML7iMWkSET69FOpd2/pyy+ld96RBgyQZsyofRqzJm7s\nsGGmS4AlOEuAsDPYiKmENWIAAACapiOPDPZ4mzfHt2nEAACQfpGI99itmzR/fnxGlj/+UbrjDnN1\nHX+8tH6992gbams8m+tL4r6XRgwQdrY0YhgRAwAA0DRlZQV7PEbEAABgTn6+NHOmlJnp7T/+uPTY\nY2Zqad5c6tLFe7QNtTWezfUlcd9LIwahUVxcbLoEOxlsxFTKhEaMcZwj9iETu5CHfcgEQKOwRkxa\ncW12E7m6h0zdE6pMzz9fevrp+P4dd3hTlKGKUOWKtKIRg9AYOnSo6RLstH17fDvgRkylTBIbMYnN\nIQSGc8Q+ZGIX8rAPmQBoFEbEpBXXZjeRq3vI1D2hy3ToUGnMmPj+wIHSW28ZK8dWocsVaUMjBqEx\nJvHijrjEpoc/R2dAKmXCiBjjOEfsQyZ2IQ/7kAmARmGNmLTi2uwmcnUPmbonlJk+8IB0zTXe9u7d\n0sUXSx99ZLYmy4QyV6QFjRiERl5enukS7GRwarJKmSQem0aMEZwj9iETu5CHfcgEQKMwIiatuDa7\niVzdQ6buCWWmkYj01FPeVGWS92/0eedJ//2v2bosEspckRY0YoCwM9iIqYQRMQAAAAiC34hp3lxq\n2dJsLQAANHVZWdIf/iDl53v7//mP1LevtGWL2boAy9CIAcLOxkYMa8QAAAA0HR9/HOzx/EZMu3be\nb+ICAACz9ttPev11qWtXb3/FCunSS73pytLpn/+U9t/fe7QNtTWezfUlcd9LIwahMXXqVNMl2Gn7\n9vh2wI2YSpkwIsY4zhH7kIldyMM+ZAI4okOHYI/nrxHDtGRpwbXZTeTqHjJ1T+gzzcmRFiyQ2rf3\n9hcvloYOlcrL03fMgw+WxozxHm2zt7apf/mL6Uqqsvn7JtldXxL3vTRiEBpFRUWmS7BT4uiT1q0D\nPXSlTFgjxjjOEfuQiV3Iwz5kAjjC/4FLEMrKpK1bvW0aMWnBtdlN5OoeMnWPE5kefbT02mvxqUNf\nekm67770HS8nR7r9du/RNntrK/rkE9OVVGXz902yu74k7nsjsVgslsJSnFBUVKT8/HwtW7aMBZVg\nv2jU+0dOkjZtkjp2NFdLy5bSrl3S974nLV9urg4AANBg3AOjoYz8ndm8WTrwQG+7oMD7zVsAAGCX\nOXOkSy6Jj4aZMkW66SazNQEpkMz9LyNigLCzZY2YxOMnTpcGAAAApIq/PozkrREDAADsc9FF0qRJ\n8f3hw6XZs83VA1iARgwQdn4jJhKRsrPN1uI3YhKbQwAAAECqJDZimJoMAAB73XSTdPfd3nYsHGKi\nUwAAIABJREFUJl15pbR0qdmaAINoxABh5zc99tvPa8aYRCMGAAAA6bR5c3ybRgwAAHb7xS+kn/7U\n2965U+rXT1q92mxNgCE0YhAa0WjUdAl28qcBMzAtWZVMEqcm8+cBRWA4R+xDJnYhD/uQCYAGY0RM\n2nFtdhO5uodM3eNkppGINHWqdM453v7XX0vnnSdt3Gi2rgA5mSsahUYMQmP48OGmS7CTP/qkdevA\nD10lk8Rm0I4dwRYDzhELkYldyMM+ZAI4YsOG4I7FGjFpx7XZTeTqHjJ1j7OZNm8uzZolfe973v7a\ntdKFF6ZmNpXPP5euvdZ7tM3e2oZffrnpSqqy+fsm2V1fEve9NGIQGn369DFdgp0SpyYLWJVMEmtg\nerLAcY7Yh0zsQh72IRPAEYnNkSCPxYiYtODa7CZydQ+ZusfpTNu2lebPlw491Ntftky64gqptDS5\n1/36a2/EzddfJ19jqu2trc9xx5mupCqbv2+S3fUlcd9LIwYIs927vQ/JSCOmisRROTRiAAAAkGqs\nEQMAQDh17iy98Ub83+833pCGDZNiMbN1AQGhEQOEmb8+jGRHI4YRMQAAAEgnRsQAABBexx0nzZ7t\nTVcmSc8+Kz34oNmagIDQiEFozJ4923QJ9jHciKmSCY0YozhH7EMmdiEP+5AJ4IgDDwzuWDRi0o5r\ns5vI1T1k6p4mk+n3vy+98EJ8f8wYbxqqxujYUbrtNu/RNntrm11UZLqSqmz+vkl215fEfS+NGIRG\nYWGh6RLsk9jsSJwWLCBVMqERYxTniH3IxC7kYR8yARyRkxPcsRIbMe3aBXfcJoRrs5vI1T1k6p4m\nlekVV0iPPhrfv+EGbw2ZhurSRXrsMe/RNntrK3zzTdOVVGXz902yu74k7ntpxCA0ZsyYYboE+yQ2\nOwyMiKmSCY0YozhH7EMmdiEP+5AJgAZLXCOmbVtzdTiMa7ObyNU9ZOqeJpfp7bdLP/+5t11WJl1+\nufT//p/ZmtKgyeWKGtGIAcLMcCOmChoxAAAASCd/REyrVvH55QEAQDg9+qjXgJGkkhLpggukTz81\nWxOQJjRigDCzuRGTuH4NAAAAkAp+I4b1YQAACL+MDOn556Uzz/T2v/xSOu88qbjYbF1AGtCIAcLM\n5kYMI2IAAACQan4jhvVhAABwQ8uW0uzZUvfu3v6aNVK/ft4IGcAhNGIQGkOGDDFdgn0SR50YaMRU\nyYRGjFGcI/YhE7uQh33IBECDlJbG738ZEZM2XJvdRK7uIVP3NOlMDzxQWrBAOvhgb//996Wrr/bW\njgm5Jp0rKqERg9Do06eP6RLsk9jsaN068MNXySSxBhoxgeMcsQ+Z2IU87EMmgCO++iqY4/ijYSQa\nMWnEtdlN5OoeMnVPk880N1eaP19q08bbnz1buvVWKRar+Ws2bJDGjPEebbO3tj6nnGK6kqps/r5J\ndteXxH0vjRiExpVXXmm6BPsYnpqsSiaMiDGKc8Q+ZGIX8rAPmQCOSGyQBHUcGjFpw7XZTeTqHjJ1\nD5lKOvFEadYsqVkzb//JJ6UJE2r+/OJi6Xe/s3NNmb21Xemvf2MTm79vkt31JXHf2yyFZQAIGmvE\nAAAAwLSjjgrmOIn/8WWNGAAA3PSjH0nPPisNHOjt33231KWLN1XZvnr2lP7zn2Drqy9qazyb60vi\nvpcRMUCY0YgBAABAU8GIGAAAmoYBA6Rf/CK+P2SItHixuXqAFKARg9BYsmSJ6RLs4y9WKhlpxFTJ\nhEaMUZwj9iETu5CHfcgEQINs3hzfphGTNlyb3USu7iFT95DpPu6+Wxo2zNsuLZV+/GNp+XKzNTUC\nucJHIwahMaG2OSGbqsRmR+vWgR++SibZ2VIk4m3TiAkc54h9yMQu5GEfMgHQIIyICQTXZjeRq3vI\n1D1kuo9IRJo8WYpGvf3vvpP69pXWrTNbVwORK3w0YhAaL7/8sukS7GN4arIqmUQi8ToSR+sgEJwj\n9iETu5CHfcgEQIPQiAkE12Y3kat7yNQ9ZFqNzEypsFA67TRv/4svpPPPrzxK1nLkCh+NGIRGq1at\nTJdgH8ONmGoz8etgREzgOEfsQyZ2IQ/7kAmABklsxLRrZ64Ox3FtdhO5uodM3UOmNWjVSnrtNenI\nI739f/9buvhiadcubz8WM1dbPZArfDRigDDzmx1ZWVLz5mZr8flTpNGIAQAAaBp27gzmOKwRAwBA\n03TQQdKCBVLHjt7+229Lxx8v5eZKnTpJhx0m3XqrN32ZLXbskD76yHu0jc21SXbXl8R9L40YIMz8\nZoeB0TA1YkQMAABA07J2bTDHYWoyAACariOOkObN80bISNInn0jr10tffumtGzNlitS7tz3NmJUr\nvWbRypWmK6nK5toku+tL4r6XRgxCY8SIEaZLsI+/DouhRky1mfi17N7tfSAwnCP2IRO7kId9yARA\ng9CICQTXZjeRq3vI1D1kWg+nnCL98IfV/1l5ufeD+1Gjgq2pDiMef9x0CbAEjRiERm5urukS7OOP\nOvGnAwtYtZkkNoX8RhECwTliHzKxC3nYh0wANEhiI6ZtW3N1OI5rs5vI1T1k6h4yracPP6z5z8rL\npblzg6ulHnI7dTJdAixBIwahccstt5guwS6xmPGpyarNJLEWpicLFOeIfcjELuRhHzIB0CD+GjH7\n7y9lZpqtxWFcm91Eru4hU/eQaT3EYlJpae2fU1rqfZ4lbvnJT0yXAEs0M10AgEbaudPr9Et2rhEj\n0YgBAABoCrp3D+Y4/ogYpiUDAKBpikSkrKzaPycry/s80/LyrGoIVWJzbZLd9SVx38uIGCCsEpsc\ntjZimJoMAAAAqUIjBgAA9OsnZdTyI+0LLwyuFqABaMQgNFatWmW6BLskNjkMNWKqzYQRMcZwjtiH\nTOxCHvYhEwD1tnOntGuXt92undlaHMe12U3k6h4ydQ+Z1tO4cd6ohJqaMf7sMZYgV/hoxCA0Ro4c\naboEuyQ2OVq3NlJCtZnQiDGGc8Q+ZGIX8rAPmQCoN380jMSImDTj2uwmcnUPmbqHTOupTRtp6VJp\n+HDp8MOlzp2lTp3ijZknn5SmTzdaYiJyhY9GDEJj8uTJpkuwiwVTk1WbSWJTiEZMoDhH7EMmdiEP\n+5AJgHrbvDm+TSMmrbg2u4lc3UOm7iHTBmjTRnriCWntWmn9emnDBumpp+J/fsMN0t//bq6+BOQK\nH40YhEZubq7pEuxiQSOm2kwYEWMM54h9yMQu5GEfMgFQb4yICQzXZjeRq3vI1D1k2kiRiPd4/fXS\njTd627t2ST/+sdegMYxc4aMRA4SVBY2YatGIAQAAaFrKytJ/DBoxAACgLo8/Lp15prf9xRfSJZfE\n15gLWlmZtHVrMPdJDWVzbZLd9SVRE40YIKxoxAAAAMAGq1en/xiJjZh27dJ/PAAAED7Nm0t//KN0\n6KHe/vvvSzffLMViwdeyfLnUtq33aBuba5Psri+J+14aMQiN8ePHmy7BLtu3x7cNNWKqzYRGjDGc\nI/YhE7uQh33IBHBE587pPwZrxASGa7ObyNU9ZOoeMk2Rjh2l2bOl7Gxvf+pUacqU4Ovo2lX6wx80\nfu7c4I9dl721qWtX05VUz+b6krjvpRGD0CgpKTFdgl0SmxytWxspodpMaMQYwzliHzKxC3nYh0wA\nR+y/f/qPwdRkgeHa7CZydQ+ZuodMUygvz2vA+H7+c+kvfwm2hnbtpMsvV4mJ0Th12VubtaOMba4v\nifteGjEIjbFjx5ouwS4WTE1WbSaJtSSO2kHacY7Yh0zsQh72IRMA9UYjJjBcm91Eru4hU/eQaYpd\neaV0113edlmZ94P9zz4LvAxyhY9GDBBWFjRiqsWIGAAAAKQaa8QAAICGGjdOOv98b/vrr6WLLuKX\nhmEMjRggrGjEAAAAoKlgjRgAANBQmZnS738vHXWUt79ihTRkiGTjdGFwHo0YhEZxcbHpEuyS2ME3\n1IipNpPE9WpoxASKc8Q+ZGIX8rAPmQCoN6YmCwzXZjeRq3vI1D1kmiYHHCDNmSO1aePtz5wp/fKX\ngR2eXOGjEYPQGDp0qOkS7JLY5EhsfgSo2kyysqTmzb1tGjGB4hyxD5nYhTzsQyZAcF5//XX16tVL\nrVq10oEHHqhLLrmk0p+vX79eF1xwgVq3bq1OnTpp5MiRKi8vN1RtNfxGTEaGXaPBHcS12U3k6h4y\ndQ+ZplH37tJLL0mRiLc/apQ0b14ghyZX+GjEIDTGjBljugS7WDA1WY2Z+PXQiAkU54h9yMQu5GEf\nMgGCMWvWLA0cOFDXXHON/vWvf+m9997TVVddVfHn5eXl6tu3r/bs2aP3339f06dP13PPPacHHnig\nfgdYty5NlSfwGzEHHOA1Y5A2XJvdRK7uIVP3kGma9esnPfSQtx2LSVddJa1alb7jrVkjFRRojI2N\nmL21ac0a05VUz+b6krjv5Q4WoZGXl2e6BLtYMCKmxkxoxBjBOWIfMrELediHTID0Kysr089//nM9\n+uijuu6663TEEUfo2GOP1WWXXVbxOQsXLtSqVav00ksvqWfPniooKNBDDz2kKVOmaM+ePXUfJIhF\nbxMbMUgrrs1uIlf3kKl7yDQA994rXX65t/3dd9JFF1We/jSVvvtOWrRIebm56Xn9ZOytTd99Z7qS\n6tlcXxL3vTRigLDymxzZ2d7iYzahEQMAAGCFoqIiffHFF5K8H/Accsgh6tu3rz766KOKz3n//ffV\ns2dPdejQoeK5goICbdmypdLnGROLSZs3e9s0YgAAQGNFItK0adL3vuftr17tjYwpKzNbF5oEGjFA\nWPlNDhvnyPZr2r7d+48zAAAAjPj0008Vi8U0duxYPfDAA3r99dfVrl07nX322fp272+Abty4UTk5\nOZW+zt/fuHFj4DVXsX17/AckNGIAAEAyWreW5syR2rf39t94Q7rvPrM1oUmgEYPQmDp1qukS7OIP\nhTPYiKkxE7+mWEzasSO4gpo4zhH7kIldyMM+ZAI03j333KOMjIwaPzIzM7V69WqVl5dLkkaNGqWL\nL75YJ510kqZNm6ZIJKKZM2emppiOHVPzOjVJnDKERkzacW12E7m6h0zdQ6YBOvxwaebM+Awz48dL\nhYWpPUbnztKjj2rqW2+l9nVTYW9t6tzZdCXVs7m+JO57acQgNIqKikyXYBd/RIyh9WGkWjJJbA4x\nPVlgOEfsQyZ2IQ/7kAnQeHfeeadWrVpV48fKlSvVrVs3HXzwwZKk7t27V3xt8+bN1a1bN63bu9ho\np06dtGnTpkqv7+936tSpzlr6DhigaDRa6aN3796aPXt2pc9btGiRotFola+/+eabq/zwqaioSNFo\nVMXFxZUaMaPXrtX48eMrfe66desUjUa1ap8FdydNmqQRI0ZUeq6kpETRaFRLliyp9HxhYaGGDBlS\npbb+/fun7n0kGD16tLXv4/HHH3fifbiSR6rex+LFi514H67kkYr3se99VFjfx76a8vtIzDTM7yOR\n1e+jtFTRhPsjXXON9I9/pO59bN4s3X67ij75JL3vozF5ZGZKt98u7R0BbUUeie8jJ6eiPpN/rwoL\nCxWNRpWfn6/c3FxFo1Hd9vDDVd5PfUViMeYN2ldRUZHy8/O1bNkyFsqCncrKpGbNvO1evaSlS83W\ns6+rror/JsH//Z/UrZvZegAAQJ24B3bTd999p44dO+rJJ5+s+I9waWmpDj30UD388MO69tprtWDB\nAvXr108bNmyoWCfm6aef1l133aUvv/xSWVlZ1b52YH9n3nlHOussb/uOO6RHHknfsQAAQNMRi0nX\nXis9+6y3n5srffBB+kf7IrSSuf9lRAwQRiUl8W2b14iRGBEDAABgUJs2bTRs2DCNHj1ab775plav\nXq0bb7xRkUhEl19+uSSpT58+6tGjhwYMGKAVK1Zo4cKFuv/++zV8+PAamzCBYmoyAACQDpGI9OST\n3i85S9K6ddLll0ulpWbrgpNoxABhlNjcoBEDAACAWjzyyCP6yU9+ooEDB+rUU0/V+vXr9ec//1lt\n27aVJGVkZGjevHnKzMzU6aefroEDB2rw4MEaO3as4cr3ohEDAADSpUUL6ZVXpEMO8fbfflv6+c/N\n1gQnNTNdAIBG2L49vk0jBgAAALXIzMzUhAkTNGHChBo/59BDD9W8efMCrKoBEhsx7dqZqwMAALjp\n4IO9ZsxZZ0m7d3ujZE48UbruOtOVwSGMiEFoVLfwVJOV2Nxo3dpYGTVmQiPGCM4R+5CJXcjDPmQC\noF42b45vMyIm7bg2u4lc3UOm7iFTw047TXr66fj+zTdL776b9MuSK3w0YhAaw4cPN12CPSyZmqzG\nTGjEGME5Yh8ysQt52IdMAEds2JDe12dqskBxbXYTubqHTN1DphYYNEj62c+87dJS6dJLpfXrG/da\nn38uXXuthu9dk88qe2vT55+brqR6NteXxH0vjRiERp8+fUyXYA9LGjE1ZpJYU+I0akgrzhH7kIld\nyMM+ZAI4Yteu9L4+jZhAcW12E7m6h0zdQ6aWeOQR6Yc/9LY3bZJ+/GNpx46Gv87OndJHH6nPqaem\ntr5U2Fubdu40XUn1bK4vifteGjFAGFnSiKkRI2IAAACajsMPT+/rs0YMAAAISrNm0h/+IHXt6u0v\nWyZdf70UizXsdY45Rlq61Hu0jc21SXbXl8R9L40YIIxoxAAAAKCpYEQMAAAIUvv20pw58XWZX3xR\neuwxszUh9GjEIDRmz55tugR7JE73ZbARU2Mm/j9UEo2YAHGO2IdM7EIe9iETAPWyebP3mJUlZWeb\nraUJ4NrsJnJ1D5m6h0wt07OnNH16fH/kSGnRoga/DLnCRyMGoVFYWGi6BHskNjcSmx4BqzETRsQY\nwTliHzKxC3nYh0wA1Is/IuaAA6RIxGwtTQDXZjeRq3vI1D1kaqFLL5Xuv9/bLi+X+veXPvmkQS9B\nrvDRiEFozJgxw3QJ9rBkarIaM6ERYwTniH3IxC7kYR8yAVAviY0YpB3XZjeRq3vI1D1kaqkxY6Ro\n1Nv+9lvpoouk776r95eTK3w0YoAwsqQRUyMaMQAAAEiF8nJpyxZvu107s7UAAICmJyNDeuEFqXt3\nb//f/5YGDPDuUYAGoBEDhBGNGAAAANginfd7W7dKsZi3zYgYAABgwv77S3PmxO9F5syRHnyw9q/Z\nulVauNB7tI3NtUl215fEfS+NGCCMtm+Pb9vYiMnOjs/fTSMGAADAbevXp++1/WnJJBoxAADAnKOO\nkl5+2RshI0ljx0qvvFLz53/yiXTeeQ1eUyYQNtcm2V1fEve9NGIQGkOGDDFdgj0SmxutWxsro8ZM\nMjLidSU2jZBWnCP2IRO7kId9yARAnWjEBI5rs5vI1T1k6h4yDYGCAmn8+Pj+wIHSv/5V65cMGTMm\nvTUhNGjEIDT69OljugR7WDI1Wa2Z+HUxIiYwnCP2IRO7kId9yARAnRIbMawREwiuzW4iV/eQqXvI\nNCTuuEO6+mpve/t26aKLpK+/rvHT+/TqFVBhsB2NGITGlVdeaboEe/jNjUjEmwbMkFozoRETOM4R\n+5CJXcjDPmQCOKJZs/S99ubN8W1GxASCa7ObyNU9ZOoeMg2JSER65hkpL8/bX7tW6t9f2rOn8udl\nZUmdO+vKfv2Cr7Eue2tTVpbpSqpnc31J3PfSiAHCyG9u7LdffC0W2/hTk9GIAQAAcNtRR6XvtZma\nDAAA2CY7W5o9W+rY0dtfvFgaObLy5/TsKf3nP96jbWyuTbK7viTue2nEAGGU2IixlV/brl1SaanZ\nWgAAABBONGIAAICNDj1UmjUrPmpj4kTp+efN1gSr0YhBaCxZssR0CfbYvt17NNyIqTWTxNr8epFW\nnCP2IRO7kId9yARAnVgjJnBcm91Eru4hU/eQaQidcYY0eXJ8//rrpb//vdKnkCt8NGIQGhMmTDBd\ngj38ETH+9F+G1JpJYiOG6ckCwTliHzKxC3nYh0wA1IkRMYHj2uwmcnUPmbqHTEPq+uulYcO87V27\npB//WNqwoeKPyRU+GjEIjZdfftl0CXbYvdv7kIyPiKk1ExoxgeMcsQ+Z2IU87EMmAOq0eXN8m0ZM\nILg2u4lc3UOm7iHTEHviCenMM73tL76QLr3Ua8rEYuSKCjRiEBqtWrUyXYIdEqf5MtyIqTUTpiYL\nHOeIfcjELuRhHzIBUCdGxASOa7ObyNU9ZOoeMg2x5s2lP/7RWzdGkpYulTp0kLp0UavjjpNuvVX6\n7juzNcI4GjFA2CSOLjHciKkVI2IAAACahp070/faNGIAAEAYdOwovfSSFIl4+9u2eaNjPvtMmjJF\n6t3bnmbMjh3SRx95jzayub4k7ntpxABhY9GImFol1mbLPzQAAABIvbVr0/fafiMmO1tq0SJ9xwEA\nAEjWzJnVP19eLq1cKY0aFWw9NVm5Ujr+eO/RRjbXl8R9bygbMVOmTFHXrl2VnZ2tXr166YMPPqjX\n17377rvKyspSXl5emitEOowYMcJ0CXZIHF3SurW5OlRHJom1MTVZIDhH7EMmdiEP+5AJ4IjDDkvf\na/trxDAaJjBcm91Eru4hU/eQqQNee02KxSo9VZFqebk0d27gJVXr6KOl997zHm1kc31J3PeGrhEz\nY8YM3XHHHRo7dqz+8Y9/6IQTTlBBQYGKi4tr/botW7Zo0KBBOvfccwOqFKmWm5trugQ7WDQ1Wa2Z\nMDVZ4DhH7EMmdiEP+5AJ4Ih0zmnvj4ihERMYrs1uIlf3kKl7yDTkYjGptLTK05VSLS2t0qgxYr/9\nvKnSbJ1px+b6krjvDV0jZuLEibrhhhs0cOBAHXvssfrtb3+rVq1a6dlnn63164YNG6arr75avXr1\nCqhSpNott9xiugQ7WNSIqTUTGjGB4xyxD5nYhTzsQyYAarVnT/w+kkZMYLg2u4lc3UOm7iHTkItE\npKysKk9XSjUrK76GDJqcUDViSktLtWzZMp1zzjkVz0UiEZ177rlaunRpjV83bdo0rV27VqNHjw6i\nTCC9LGrE1CqxNqYmAwAAQENt2RLfbtfOXB0AAAD10a+flFHLj9tPOim4WmCdUDViiouLVVZWppyc\nnErP5+TkaOPGjdV+zZo1a3TvvffqpZdeUkZtJwIQFmFpxCSuEcOIGAAAADSUvz6MxIgYAABgv3Hj\npO7da27GvPeetGlTsDXBGk53JsrLy3X11Vdr7NixOuKIIyRJsQbMw9e3b19Fo9FKH71799bs2bMr\nfd6iRYsUjUarfP3NN9+sqVOnVnquqKhI0Wi0ypo2o0eP1vjx4ys9t27dOkWjUa1atarS85MmTaqy\ngFdJSYmi0aiWLFlS6fnCwkINGTKkSm39+/cP3fu45JJLnHgfSecxfboq3sXeRoyp97Hva1R6H3tr\nWyQp+vLLVd+HK3lY9D5qzSNE72NfYX4fia8T5veRKMzvgzzsex/+a4X9ffjC9D4KCwuVn5+v3Nzc\nivvc2267rUqdgFH++jASjZgA7XtdgRvI1T1k6h4ydUCbNtLSpdLw4dLhh0udO2vVIYdIhx7q/fmm\nTdJPfyqVlRktE2ZEYg3pTBhWWlqqVq1aadasWZX+Qzt48GBt2bJFr776aqXP37Jli9q1a6dmzZpV\nNGDKy8sVi8XUrFkzLVq0SGeffXaV4xQVFSk/P1/Lli1TXl5eWt8T6i8ajWru3LmmyzBv3Dhp1Chv\ne+5cb9ijIbVm8u9/S8cd520PGSLVsY4Tksc5Yh8ysQt52IdM7MI9MBoq7X9n/vQn6Uc/8rbvvde7\nD0bacW12E7m6h0zdQ6YOisUUvegizX3mGenEEyV/RqeHHor/bA+hksz9b6hGxGRlZSk/P1+LFy+u\neC4Wi2nx4sU6/fTTq3z+/vvvrw8//FD//Oc/tXz5ci1fvlzDhg3Tscceq+XLl+u0004LsnwkafLk\nyaZLsINFU5PVmglrxASOc8Q+ZGIX8rAPmQCO+PTT9Lxu4ogY1ogJDNdmN5Gre8jUPWTqoEjEyzUn\nR/r97+NTlo0eLb31lrm6/F+e/ve/zdVQG5vrS+K+t1kKywjE7bffrsGDBys/P1+nnnqqJk6cqJKS\nEg0ePFiSdM899+iLL77Q9OnTFYlE1KNHj0pf37FjR7Vs2VLdu3c3UD2SkZuba7oEO1jUiKk1E9aI\nCRzniH3IxC7kYR8yARyxa1d6XpepyYzg2uwmcnUPmbqHTN1UkesPfiCNGSM98IBUXi5deaX0z39K\nHTsGX9TOnV6TY+fO4I9dHzbXl8R9b+gaMVdccYWKi4v1wAMPaNOmTTrxxBO1cOFCHXTQQZKkjRs3\nav369YarBNLIokZMrRJroxEDAACAhtq8Ob5NIwYAAITdvfd6I2EWL5Y2bJAGDJDeeCM+UgZOC2XK\nN910kz777DPt2LFDS5cu1cknn1zxZ9OmTdOf//znGr929OjRKioqCqJMID0Sp/myuRHTvLnUbG+v\nl0YMAAAAGooRMQAAwCWZmdJLL0mdOnn7ixZJv/qV2ZoQmFA2YtA0jR8/3nQJdkhsaiRO/2VArZlE\nIvFGEWvEBIJzxD5kYhfysA+ZAI7o3Dk9r0sjxgiuzW4iV/eQqXvI1E1Vcs3J8ZoxkYi3f//90ttv\nB1tU167SH/7gPdrI5vqSuO+lEYPQKCkpMV2CHSyamqzOTPxGESNiAsE5Yh8ysQt52IdMAEfsv396\nXjexEdOuXXqOgSq4NruJXN1Dpu4hUzdVm+sPfyiNHu1t++vFfPVVcEW1ayddfrm991c215fEfW8k\nFovFUliKE4qKipSfn69ly5YpLy/PdDlAZXl50j/+IWVlSbt3m66mdsceK338sdS2beX/SAMAAOtw\nD4yGSvvfmb59vXnTJam4WGrfPvXHAAAAMKGsTOrTR/KX2CgokObPZ70YyyVz/0uyQNj4o0tsXh/G\n59e4bZtEzxcAAAANkfiLPG3bmqsDAAAg1fz1YnJyvP2FCyWmp3MajRggbMLYiCkrk3aU4BiSAAAg\nAElEQVTtMlsLAAAAwsVvxOy3n9SsmdlaAAAAUq1Tp6rrxbzzjtmakDY0YhAaxcXFpkuwg7/wvQWN\nmDozSazRrxtpwzliHzKxC3nYh0wA1MpvxNg4P7jDuDa7iVzdQ6buIVM31ZnrOedIDzzgbZeVeevF\n8HfBSTRiEBpDhw41XYJ5sVh8REzr1mZrUT0ySazRrxtpwzliHzKxC3nYh0wA1GrzZu/xgAPM1tHE\ncG12E7m6h0zdQ6Zuqleu998v/eAH3vZ//ysNHCiVl6e3MASORgxCY8yYMaZLMG/nzviF2IIRMXVm\nklgjjZi04xyxD5nYhTzsQyaAI9atS/1r7tzpfUg0YgLGtdlN5OoeMnUPmbqpXrn668V07Ojtv/GG\n9Otfp6+oNWukggLv0UY215fEfS+NGIRGXl6e6RLMS2xmWNCIqTMTGjGB4hyxD5nYhTzsQyaAIzLS\n8N/KLVvi2zRiAsW12U3k6h4ydQ+ZuqneuR58cOX1Yu67T1qyJD1FZWZK++/vPdrI5vqSuO+lEQOE\niWWNmDqxRgwAAID7unRJ/Wv668NIrBEDAACahnPPlUaN8rbTuV5Mt27SzJneo41sri+J+14aMUCY\nJDYzwtCIYY0YAAAANIa/PozEiBgAANB0jB4tnX22t/2f/0iDBrFejCNoxCA0pk6daroE8xKbGYlN\nDkPqzISpyQLFOWIfMrELediHTADUKHFEDI2YQHFtdhO5uodM3UOmbmpwrv56MQcd5O3Pny898kjq\nC0PgaMQgNIqKikyXYJ5lU5PVmQmNmEBxjtiHTOxCHvYhEwA1ohFjDNdmN5Gre8jUPWTqpkblesgh\n0osvxteLufde6b33UlsYAkcjBqExZcoU0yWYZ1kjps5MWCMmUJwj9iETu5CHfcgEQI1oxBjDtdlN\n5OoeMnUPmbqp0bn26SPdd5+3XVYm9e8vff116gpD4GjEAGFiWSOmTqwRAwAAgMZIbMS0a2euDgAA\nAFNGj5bOOsvbZr2Y0KMRA4RJ2BoxTE0GAADgvs2b0/uajIgBAABNUbNmUmFhfL2Y11+XHnss+dct\nLpZ+9zvv0UY215fEfS+NGCBMEqf3ohEDAAAAG2zcmPrXZGoyAAAAb72YF16I7999t7R0aXKvuW6d\ndN113qONbK4vifteGjEIjWg0aroE8xKbGYnTfhlSZyasERMozhH7kIldyMM+ZAKgRjRijOHa7CZy\ndQ+ZuodM3ZSSXAsKpHvv9bb99WK++Sb510WgaMQgNIYPH266BPMsm5qszkxYIyZQnCP2IRO7kId9\nyARAjVgjxhiuzW4iV/eQqXvI1E0py3XsWOnMM73t9eulwYOlWCw1r41A0IhBaPTp08d0CeZZ1oip\nMxOmJgsU54h9yMQu5GEfMgEckZ2d+tf059+ORKQ2bVL/+qgR12Y3kat7yNQ9ZOqmlOXqrxfToYO3\n/9pr0sSJjXut1q2lXr2smG2nWjbXl8R9L40YIEwsa8TUiRExAAAA7jv88NS/pj8ipm1bKYP/tgIA\nAKhz58rrxdx1l/T++w1/nWOO8daZOeaY1NWWSjbXl8R9L3e0QJgkrrMShkZMVpbUooW3TSMGAAAA\n9eU3YlgfBgAAIO6886R77vG29+xhvZgQoRGD0Jg9e7bpEsyzbERMvTLx60xsIiEtOEfsQyZ2IQ/7\nkAmAasVi8UYM68MEjmuzm8jVPWTqHjJ1U1pyffBB6YwzvO1166QhQ1gvJgRoxCA0CgsLTZdgXmIj\nplUrc3XsVa9M/OnJGBGTdpwj9iETu5CHfcgEQLVKSqTSUm+bETGB49rsJnJ1D5m6h0zdlJZc/fVi\n2rf39ufOlR5/PPXHQUrRiEFozJgxw3QJ5vnNjOxsKTPTbC2qZyb+iBgaMWnHOWIfMrELediHTABU\nyx8NI9GIMYBrs5vI1T1k6h4ydVPacu3Spep6MX//e3qOhZSgEQOEid/MsGBasnpLnJqMYZIAAACo\nC40YAACAup1/vteAkbzRxFdcIW3ebLYm1IhGDBAmYW7ExGLSjh1mawEAAEDqpXrkM40YAACA+nno\nIel//sfb/vzz+q0Xs3WrtHCh92gjm+tL4r6XRgwQJv6C92FqxPhrxEhMTwYAAOCi9etT+3qJjZh2\n7VL72gAAAC7JyvLWiznwQG9/zhzpN7+p/Ws++UQ67zzv0UY215fEfS+NGITGkCFDTJdgVlmZt3Cp\nVLm5YVC9MklsGtGISasmf45YiEzsQh72IRPAEUcemdrXS5xSgxExgePa7CZydQ+ZuodM3RRIroce\nKj3/fHx/xAjpgw9q/vzjj/caCscfn/7aGsPm+pK476URg9Do06eP6RLM8pswkjUjYuqVCY2YwDT5\nc8RCZGIX8rAPmQCOyMpK7esxNZlRXJvdRK7uIVP3kKmbAsv1ggukkSO9bX+9mMR7qkTNm0tduniP\nNrK5viTue2nEIDSuvPJK0yWYldjEsKQRU69MEmv1p1ZDWjT5c8RCZGIX8rAPmQCoFo0Yo7g2u4lc\n3UOm7iFTNwWa68MPS6ef7m1/9pk0dGjd68UgMDRigLCwsBFTL6wRAwAAgIZgjRgAAICG23e9mFdf\nlSZNMlsTKtCIAcIicTRJmBoxTE0GAACAhmCNGAAAgMbJzZWmT4/v33mn9P/+n7l6UIFGDEJjyZIl\npkswy8IRMfXKhEZMYJr8OWIhMrELediHTABUi6nJjOLa7CZydQ+ZuodM3WQk1wsv9BowUt3rxSAw\nNGIQGhMmTDBdglmJTYzE6b4MqlcmrBETmCZ/jliITOxCHvYhEwDVohFjFNdmN5Gre8jUPWTqJmO5\n/uIXUq9e3vbatdK117JejGE0YhAaL7/8sukSzLJwREy9MmGNmMA0+XPEQmRiF/KwD5kAjvj449S+\nnt+IadbMml9Aakq4NruJXN1Dpu4hUzcZyzUrS5oxI77e3qxZ0pQp3vY//yntv7/3aCOb60vivpdG\nDEKjVatWpkswy8JGTL0yYWqywDT5c8RCZGIX8rAPmQCOKC9P7ev5a8QccIAUiaT2tVEnrs1uIlf3\nkKl7yNRNRnPdd72YO+6Qli3z7t2++y7193CpYnN9SdREIwYICwsbMfVCIwYAAAAN4Y+IYVoyAACA\n5PTr5zVgJGn3bm+9mO++M1tTE0UjBgiLxPVVaMQAAADAReXl0pYt3jaNGAAAgOT98pfSaad5259+\nKp13nrd94YXSrbfSmAkIjRiExogRI0yXYFZiE8OSubLrlUliIyaxmYSUa/LniIXIxC7kYR8yARxx\n2GGpe61t2+JTPtCIMYJrs5vI1T1k6h4ydZMVuWZlSVOnShl7WwE7d3qPGzZ468b07m1XM+boo6X3\n3vMebZPEfS+NGIRGbm6u6RLMsnBqsnplktg0YkRMWjX5c8RCZGIX8rAPmQCOSOXc5/60ZFJ8cVkE\nimuzm8jVPWTqHjJ1kzW5/u//SrFY1efLy6WVK6VRo4KvqSb77ec1hyz5+WclSdz30ohBaNxyyy2m\nSzDLwkZMvTJharLANPlzxEJkYhfysA+ZAKhi8+b4NiNijODa7CZydQ+ZuodM3WRNrq+9Vn0jRvKa\nMXPnBltPE0QjBggLCxsx9ZLYKaYRAwAAELg1a9bo4osv1kEHHaS2bdvqzDPP1F//+tdKn7N+/Xpd\ncMEFat26tTp16qSRI0eq3J8iLEiJI2JoxAAAACQvFpNKS2v/nNLSmhs1SAkaMUBYJK6vEqZGTGZm\nvBnDGjEAAACBu+CCC1RWVqa//vWvKioq0gknnKALL7xQX375pSSpvLxcffv21Z49e/T+++9r+vTp\neu655/TAAw8EXyyNGAAAgNSKRLx1YmqTleV9HtKGRgxCY9WqVaZLMMvCETH1zsRfJ4YRMWnV5M8R\nC5GJXcjDPmQCpN/XX3+tTz75RHfffbeOO+44HXHEEfrVr36lkpISffjhh5KkhQsXatWqVXrppZfU\ns2dPFRQU6KGHHtKUKVO0Z8+eYAtmjRjjuDa7iVzdQ6buIVM3WZNrv35SRi2tgB/9KLhamigaMQiN\nkSNHmi7BLL+JEYlILVuarWWvemfiN45oxKRVkz9HLEQmdiEP+5AJkH7t27fXscceq+eff14lJSXa\ns2ePnnrqKeXk5Cg/P1+S9P7776tnz57q0KFDxdcVFBRoy5Yt+uijj4ItmDVijOPa7CZydQ+ZuodM\n3WRNruPGSd2719yM+fJLpiZLMxoxCI3JkyebLsEsv4mx337WDBWsdyY0YgLR5M8RC5GJXcjDPmQC\nBOPNN99UUVGR2rRpo+zsbD3xxBNasGCB2rZtK0nauHGjcnJyKn2Nv79x48a6D/Dpp6krlqnJjOPa\n7CZydQ+ZuodM3WRNrm3aSEuXSsOHS4cfLnXuLHXpEv9l7zlzpBdfNFpihX//WzruOO/RNknc99KI\nQWjk5uaaLsGsxEaMJeqdiV/zjh1SWVn6Cmrimvw5YiEysQt52IdMgMa75557lJGRUeNHZmamVq9e\nLUm66aablJOTo3fffVcffPCBLr74Yl144YXatGlTaorxp6FNBRoxxnFtdhO5uodM3UOmbrIq1zZt\npCeekNauldav9z5eein+58OHS59/bq4+3/77SwUF3qNtkrjvpREDhIWFjZh6S7xIlZSYqwMAAMAR\nd955p1atWlXjx8qVK9WtWzctXrxY8+fP14wZM9SrVy+deOKJmjx5srKzszV9+nRJUqdOnao0Zfz9\nTp061VlL3yFDFI1GK3307t1bs2fPrvR5ixYtUjQarfL1N998s6ZOnert7G3EFEmK3nefiouLK33u\n6NGjNX78+ErPrVu3TtFotMoc7JMmTdKIESMqPVdSUqJoNKolS5ZUer6wsFBDhgypUlv//v0b9z72\nKioqUjQa5X3wPngfvA/eB++D98H7sOt9+LPtXHKJRp9wgsZL0tat0qBBUnm52ffRpYv02GNSly5G\n8ygsLFQ0GlV+fr5yc3MVjUZ1269+VeX91FckFmPyt30VFRUpPz9fy5YtU15enulyAE+LFtLu3dJJ\nJ0lFRaaraZgf/1jyL7BffCEdfLDZegAAQBXcA7tp3rx5uuSSS7RlyxZlZ2dXPH/sscdq8ODBuvvu\nu7VgwQL169dPGzZsqFgn5umnn9Zdd92lL7/8UllZWdW+dlr+zlx0kTR3rre9YYNUj0YQAAAAkrBl\ni3TCCfHRMI88It1xh9maLJXM/S8jYhAa+3Y0m5Tdu70PKbVTPySp3pkkjuJhnZi0adLniKXIxC7k\nYR8yAdKvd+/eOuCAAzRw4ECtWLFCa9as0YgRI/TZZ5/pggsukCT16dNHPXr00IABA7RixQotXLhQ\n999/v4YPH15jEyZtmJrMOK7NbiJX95Cpe8jUTaHItW1bafr0+CiZe++V/vUvszU5iEYMQqOkKU9p\ntX17fNuiqcnqnUlizYnvBSnVpM8RS5GJXcjDPmQCpF/79u21YMECbdu2Teecc45OOeUUvffee5o7\nd6569uwpScrIyNC8efOUmZmp008/XQMHDtTgwYM1duzY4Av2GzEtWsQXj0WguDa7iVzdQ6buIVM3\nhSbX739fuvNOb3v3bumnP5V27TJbk2OYmqwaTMsA66xfL/mLe112mTRzptl6GurOO6VHH/W233lH\nOuMMs/UAAIAquAdGQ6Xl78xhh0nr1kk5OdLGjal5TQAAANRt1y7plFPio2FGjpTCMKInQExNBrgu\ncTovi0bE1BtTkwEAAKA+/BEx7dqZrQMAAKCpadFCevFFqXlzb//Xv5befttsTQ6hEQOEgaVTk9Ub\njRgAAAB3ffVVal6nrEzautXbZn0YAACA4H3ve9K4cd52LCYNHBi/PwvKhg3SmDHeo22SuO9tlsIy\ngLQqLi5Whw4dTJdhhqUjYuqdCWvEBKJJnyOWIhO7kId9yARhtmLFigZ/TY8ePdSsmYP/BSsuTs3r\nbNkS36YRYwzXZjeRq3vI1D1k6qZQ5nrbbdK8edJbb0mffy797GfStGnBHX/DBmnsWCkalQ4+OLjj\n1kcS972MiEFoDB061HQJ5iQ2Ylq3NlfHPuqdSWLNjIhJmyZ9jliKTOxCHvYhE4TZiSeeqJNOOkkn\nnnhivT7y8vK0bt0602XbzZ+WTKIRYxDXZjeRq3vI1D1k6qZQ5pqZKU2fLrVp4+0/95z0yitGS3KB\ng7+OBVeNGTPGdAnmWDoipt6ZMDVZIJr0OWIpMrELediHTBB2f/vb33TQQQfV+XmxWEzHH398ABWF\nXGIjhjVijOHa7CZydQ+ZuodM3RTaXA87TJo8WRo0yNu//nrp9NOlTp3M1hVijWrEfPvtt/rjH/+o\n//u//9OIESN04IEHqqioSDk5OercuXOqawQkSXl5eaZLMMfSRky9M6ERE4gmfY5YikzsQh72IROE\n2fe//30deeSROqCeIzfOOussZWdnp7kqQ/zflkzW5s3xbUbEGMO12U3k6h4ydQ+ZuinUuQ4YIM2d\nK82aJX39tXTNNd6UZZFIeo97wAHSZZfZeT+YxH1vgxsxK1as0Lnnnqu2bdvqs88+03XXXacDDzxQ\nr7zyitatW6fnn3++0cUAqIGljZh6oxEDAAAc85e//KVBnz9//vw0VWKBLl1S8zpMTQYAAGCPSET6\n7W+ld9+VNm6U5s+Xnn5auuGG9B63Wzdp5sz0HqOxkrjvbfAaMbfffrsGDx6sNWvWqGXLlhXP9+3b\nV2+//XajCwFQi8QF7sPeiEl8LwAAAICPRgwAAIBdOnSQnn02vn/77dKaNebqCbEGN2I++OAD3VBN\n16tz587auHFjSooCqjN16lTTJZiTOIokceF7w+qdSWLNjIhJmyZ9jliKTOxCHvYhE7hgzZo1mjVr\nltauXStJev3113XWWWfplFNO0bhx4xSLxQxXGCKsEWMFrs1uIlf3kKl7yNRNTuR6/vnSjTd62yUl\n3pRle/aYrSmEGtyIadGihbZu3Vrl+dWrV9droUqgsYqKikyXYI6lU5PVOxOmJgtEkz5HLEUmdiEP\n+5AJwu7VV19Vjx49dNVVV6l79+56/vnnddlll2m//fZTTk6OxowZowkTJpguMzxYI8YKXJvdRK7u\nIVP3kKmbnMn117+WjjrK2/7b36Rf/tJsPSHU4EZMNBrVgw8+qNLSUklSJBLRunXrdNddd+nSSy9N\neYGAb8qUKaZLMMfSRky9M6ERE4gmfY5YikzsQh72IROE3bhx4zRy5Ejt3LlTTz31lIYNG6Zf/vKX\nmj9/vubNm6cpU6boueeeM11meDA1mRW4NruJXN1Dpu4hUzc5k2vr1tILL0iZmd7+2LHSBx+YrSlk\nGtyIefTRR7Vt2zZ17NhRO3bs0Pe//30deeSRatOmjcaNG5eOGgFY2oipt+xsb4EviTViAACAMz7+\n+GMNHTpUkUhEgwYN0u7du3XuuedW/HmfPn30+eefG6wwZGjEAAAA2Ou006RRo7ztsjJvirKSErM1\nhUizhn5B27Zt9eabb2rJkiVasWKFtm3bpry8vEr/4QCQYonNizA2YiIRr3O+bRsjYgAAgDO2b9+u\nNm3aSJIyMjKUnZ2tVq1aVfx5dna2du3aZaq84CROKZYM1ogBAACw2333SfPne6NhPv5YuusuadKk\n1B6juFiaPVu6+GKpQ4fUvnaykrjvbXAjxnfGGWfojDPOaPSBATRAYvMiceH7MNlvPxoxAADAKZFI\nRBF/1G81+03Gxo2peZ3ERkzbtql5TQAAAKROVpY3RdlJJ0k7dkiTJ0sXXigVFKTuGOvWSdddJ+Xl\n2deISeK+t16NmN/85jf1fsFbb7210cUAtYlGo5o7d67pMszwmxdZWVLz5mZrSdCgTPyRPDRi0qZJ\nnyOWIhO7kId9yARhF4vFdPTRR1c0X7Zt26aTTjpJGRkZFX/eJHTvnprX8X/DsHVr774XRnBtdhO5\nuodM3UOmbnIy12OOkR55RLr5Zm9/yBDpX/+S2rdPzevn5Um23kcncd9br0bMxIkTK+1/9dVXKikp\n0QF75+399ttv1apVK3Xs2JFGDNJm+PDhpkswx29eWDYtWYMy8WtnjZi0adLniKXIxC7kYR8yQdhN\nmzbNdAlu8UfEsD6MUVyb3USu7iFT95Cpm5zN9cYbpblzpYULpQ0bvP0ZM+JrRKOKejVi1q5dW7H9\n+9//Xk8++aSmTp2qY445RpK3SOV1112nG264IT1VAvIWO22y/EaMZdOSNSgTv/Zdu6TSUn7LMQ2a\n9DliKTKxC3nYh0wQdoMGDTJdgltoxFiBa7ObyNU9ZOoeMnWTs7lGItKzz0o9e0rffCPNnClddJF0\n9dWmK7NWRkO/4P7779ekSZMqmjCSdMwxx2jixIkaNWpUSosDsJffiNm7GGwoJY7mYVQMAAAAEu3e\nLZWUeNvt2pmtBQAAAHU75BDpf/83vn/zzd76LqhWvUbEJNqwYYP27NlT5fmysjJt2rQpJUUBSBCL\nWTs1WYMk1r5tG7/pCAAAQq1du3YVa8PU5ZtvvklzNQ7wR8NI3CcCAACExWWXSQMGSC+8IG3ZIg0a\nJC1eLGU0ePyH8xr8HTnnnHN0ww03qKioqOK5ZcuW6cYbb9S5556b0uKARLNnzzZdghk7dsQXqLKs\nEdOgTBgRk3ZN9hyxGJnYhTzsQyYIs8cff1wTJ06sNDNAQUGBxowZozFjxqigoECSN6MA6oFGjDW4\nNruJXN1Dpu4hUzc1iVwnTZJyc73tv/5Vevxxo+XYqsGNmGeffVadOnXSySefrBYtWqhFixY69dRT\nlZOTo9/97nfpqBGQJBUWFpouwQx/NIxkXSOmQZkkrm+T+J6QMk32HLEYmdiFPOxDJgizQYMGVXy8\n++67evDBB1VYWKhbb71Vt956qwoLC/Xggw/qrbfeMl1q+pWVJf8aNGKswbXZTeTqHjJ1D5m6qUnk\n2ratNH26t26MJN1zj/Thh41/vbIyaevW1NxjploSNTW4EXPQQQdp/vz5WrVqlWbOnKmZM2dq5cqV\nmj9/vjp27NjoQoC6zJgxw3QJZljciGlQJvtOTYaUa7LniMXIxC7kYR8ygSsWLlyo8847r8rz5513\nnv70pz8ZqChgq1cn/xqJjRjWiDGKa7ObyNU9ZOoeMnVTk8n17LOl22/3tnfvln76U2nXrsa91vLl\nXnNn+fKUlZcySdz3NnqytqOPPlrRaFTRaFRHH310owsAUIfEabwsa8Q0CI0YAADgqPbt22vOnDlV\nnp8zZ47at29voKIQ2rw5vs2IGAAAgPB5+GHp+OO97eXLpdGjzdZjmWYN/YKhQ4fW+ufPPvtso4sB\nUA2LR8Q0CI0YAADgqLFjx+raa6/VX//6V5122mmSpL/97W9asGCBnnnmGcPVhQRTkwEAAIRby5bS\niy9Kp5wilZZKEyZIF1wgnXmm6cqs0OBGzObE31SSVFpaqg8//FDffvutfvjDH6asMAB7udiISRzl\nAwAAEHKDBw9W9+7d9Zvf/EavvPKKJKl79+5asmRJRWMGdaARAwAAEH4nnOCNjLnrLikWkwYO9EbH\n7L+/6cqMa/DUZK+++mqlj3nz5unTTz9V//791atXr3TUCEjS/2fvzuOjqu7/j79DCJqExSCKgo1L\n3QWVRFSkBRUE16nWCl9XNhUF1ALi0iqLfqkCFRQE6xItFopYF35obUUtiFRcmiDgAn7biogCNkAh\nEsAkzO+P681MIEBm5s7cc899PR+PPDgzmZl8Lu/c+5jkk3OO+vXr53cJ/jC4EZNQJvn5sTEzYtIi\ntOeIwcjELORhHjKBTc444wzNnDlTZWVlKisr08yZM8PThDn66NRfgz1ijMG12U7kah8ytQ+Z2imU\nuQ4fHpsFs2qV9MtfJvb8du2kr76KLXNmkhTe9ya9R0ydF2nUSMOGDdOkSZO8eDmgXj169PC7BH8Y\n3IhJKBOWJku70J4jBiMTs5CHecgEQbZly5aEHl9RUZGmSgyQk5P6a7BHjDG4NtuJXO1DpvYhUzuF\nMtfsbOnZZ6VmzZzbzzwjvfxyw5/fpIl02GHOv6ZJ4X2vJ40YSfrXv/6l6upqr14O2M2VV17pdwn+\nMLgRk1AmNGLSLrTniMHIxCzkYR4yQZAVFBTo22+/bfDj27Ztq3//+99prCjgWJrMGFyb7USu9iFT\n+5CpnUKb6xFHSJMnx27feKO0bp1v5Zgg4T1ihg0bVud2NBrV2rVr9ec//1l9+vTxrDAAPzC4EZMQ\n9ogBAAAWiUajeuqpp9S0ge/Pqqqq0lxRwNGIAQAAsEufPtLcuc5smPJy6frrpVdekbKy/K7MFwk3\nYpYsWVLndqNGjXTQQQfpoYceUv/+/T0rDMAP4hsx8fusBA17xAAAAIsUFhbqySefbPDjDznkEOV4\nsYSXreIbMWzmCgAAEHxZWdLjj0vvviutXy/9+c/Sk086s2NCKOFGzPz589NRB7BPixYt0k9+8hO/\ny8g8g2fEJJQJS5OlXWjPEYORiVnIwzxkgiBbtWqV3yXYxW3EtGjhrCsO33BtthO52odM7UOmdgp9\nrgcdJJWUSBdf7NweOlQ699yUNr0PqoT3iDn33HP13/i/VvrBli1bdO6553pSFFCf8ePH+12CPwxu\nxCSUCY2YtAvtOWIwMjELeZiHTADU2rTJ+ZdlyXzHtdlO5GofMrUPmdqJXCVddJE0cKAzrqyUrr1W\nCuFe8wk3YhYsWKDvv/9+t/u3b9+ud955x5OigPo899xzfpfgD4MbMQllwh4xaRfac8RgZGIW8jAP\nmQCWWLkytedHo7EZMTRifMe12U7kah8ytQ+Z2olcf/Db38Zmwbz3nvTgg3t+7EcfOUvVfvRRZmpL\nRArvexvciFm2bJmWLVsmSfr0009rby9btkxLlixRSUmJ2rZtm3QhiZg6daqOPPJI5ebm6swzz9SH\nH364x8e+/PLL6tGjhw4++GC1aNFCZ511lubNm5eROuGtvLw8v0vwh8GNmIQyac06kCEAACAASURB\nVNIktswEM2LSIrTniMHIxCzkYR4yASzRqlVqz9++XXL/2I9GjO+4NtuJXO1DpvYhUzuR6w+aNpX+\n8Aep0Q/tiDFjpH/8o/7HHnqoNHq0869pUnjf2+A9Yk499VRlZWUpKyur3iXIcnNzNWXKlKQLaajZ\ns2dr+PDheuKJJ3T66adr0qRJ6tmzpz7//HO1quc/YuHCherRo4ceeOABHXDAAXr66ad1ySWX6IMP\nPtApp5yS9nqBlBnciElIVpZT/+bNNGIAAABscuCBqT0/funrgoLUXgsAAABmOvNM6de/lu6/31ma\n7NprpdJSaddmVevW0rBh/tS4Lym8723wjJgvvvhC//rXvxSNRvXBBx/oiy++qP34+uuvtWXLFvXv\n3z/pQhpq0qRJGjhwoK677jodf/zx+t3vfqe8vDw9/fTTe3z87bffruLiYv34xz/W2LFjdcwxx+iV\nV15Je62AJ9ymRVaWlJvrby2pchtJNGIAAIAlqqurdd9992nNmjV+lxJc7v4wEjNiAAAAbHbvvVJx\nsTNesUK66y5/68mgBjdiDj/8cB1xxBHauXOnTjvtNB1++OG1H4ceeqiy3SWH0qiqqkqlpaXq1q1b\n7X1ZWVnq3r27Fi9e3KDXiEajqqioUMuWLdNVJtJkxIgRfpfgD7dpkZ8fm75niIQzcRsx7BGTFqE9\nRwxGJmYhD/OQCWzQuHFjTZgwQdUh3HDUM/EzYmjE+I5rs53I1T5kah8ytRO57iInR5oxQ9p/f+f2\nlClSSLYRadDSZHPnztUFF1ygnJwczZ07d6+PjUQinhRWn/LyctXU1Kh169Z17m/durVWNnCjnAkT\nJmjr1q3q1atXOkpEGhUWFvpdgj/cRoyBy5IlnEl+vvPvd985m7JmZXlfVIiF9hwxGJmYhTzMQyaw\nxbnnnqu3335bRxxxhN+lBBONGKNwbbYTudqHTO1DpnYi13ocf7w0YYJ0yy3O7X79pOXLJcsnTjTo\nz+svvfRSbfphuvill166x4/LLrssrcWm6o9//KPuv/9+/elPf6p3P5ldXXjhhYpEInU+OnXqpDlz\n5tR53Lx58+ptQA0ePFglJSV17isrK1MkElF5eXmd+0eNGqVx48bVuW/16tWKRCJasWJFnfunTJmy\nWze1srJSkUhEixYtqnP/rFmz1K9fv91q6927d+COo6yszIrjSDiPXRoxJh3HLe4FsyHHEXcMqq7W\n4JtvNuY4dhXU76uE8zD0OHYV5OOIzyTIxxEvyMdBHuYdh5tJ0I/DFaTjmDVrloqLi1VYWFj7Pnfo\n0KG71YmGueCCC3TXXXfp9ttv16xZszR37tw6H9gH9ogxyq7vKWEHcrUPmdqHTO1ErnswaJDUo4cz\n/uYb6eabnT/atlhWNBqcI6yqqlJeXp5efPHFOj/Q9u3bV5s3b9bLL7+8x+c+99xzuv766/XCCy/o\n/PPP3+vXKSsrU3FxsUpLS1VUVORZ/UBS9ttP+v576dRTpSVL/K4mNRddJL32mjMuL099Y1cAAOAZ\n3gMnr9Felo/NyspSTU1NBqvJHM++Z6ZOlYYMccbTp0vXXedNgQAAADDX119L7dvH9gucOVO66ip/\na9qHVN7/mrXhxD7k5OSouLhYb731Vu190WhUb731ls4666w9Pm/WrFkaMGCAnnvuuX02YQCjfP+9\n8yEZuTRZwuKPwZ3pAwAAEHA7d+7c44etTZg61q5N7fksTQYAABA+bdtKv/td7PagQdJXX0lffikN\nGOD8a5oU3vc2aI+YyZMnN/gFb7311qSLaYhhw4apb9++Ki4u1umnn65JkyapsrJSffv2lSTdfffd\n+uabbzR9+nRJznJkffv21eTJk9WxY0etX79ekpSbm6vmzZuntVZ4a8WKFTr++OP9LiOz4je1N7AR\nk3Am8ccQf2zwRCjPEcORiVnIwzxkAhtt375d+7ubj4ZFfCMl1efTiPEd12Y7kat9yNQ+ZGonct2H\nXr2kuXOd2TCbN0tnnSVVV0vr1kl/+Yv0i19IY8dKzZr5Xakjhfe9DZoRM2nSpAZ9PPzww0kX0lC9\nevXSb3/7W40cOVIdOnTQsmXL9Prrr+uggw6SJK1bt05fffVV7eOffPJJ1dTUaPDgwWrTpk3txy9/\n+cu01wpv3XHHHX6XkHnxs0YMbMQknEl+fmzMjBjPhfIcMRyZmIU8zEMmsEVNTY3uv/9+tW3bVk2b\nNtW///1vSdK99967215AqAeNGKNwbbYTudqHTO1DpnYi1wZ49FFndowkrVnjNGEkZ/bJ1KlSp05S\nRYV/9XmkQTNivvjii3TXkZBBgwZp0KBB9X7umWeeqXN7/vz5mSgJGfDoo4/6XULmGd6ISTgTliZL\nq1CeI4YjE7OQh3nIBLYYO3aspk+frvHjx+uGG26ovb9du3Z6+OGHNWDAAB+rC4D4RkxBgX91QBLX\nZluRq33I1D5kaidybYADDpA6dnT2jNnVzp3SZ59J99wjPfJI5mvzUEp7xESjUUWjUa9qAfaqsLDQ\n7xIyz/BGTMKZ0IhJq1CeI4YjE7OQh3nIBLZ49tln9cQTT+jqq69WdnZ27f2nnHKKVqxY4WNlGdKy\nZWrPdzdolZgRYwCuzXYiV/uQqX3I1E7k2kAffbTnz+3c6SxfZoIU3vcm1YgpKSlRu3bttP/++2v/\n/fdXu3bt9NRTTyVdBIA9MLwRkzD2iAEAABb6+uuvdfTRR+92/86dO1VVVeVDRRnWunVqz3dnxDRq\nZMd7XgAAADRcNCrt6z1zVZXzOL+l8L63QUuTxRs5cqQmTpyoW265RZ06dZIkLV68WEOHDtXq1at1\n3333JV0MgF3Y1ohhjxgAAGChE088Ue+8844OP/zwOve/8MIL6tChg09VBYjbiDngACkry99aAAAA\nkFlZWVJOzt4fk5MT+PeJCc+Ieeyxx/Tkk0/qgQceUCQSUSQS0QMPPKAnnnhC06ZNS0eNgCRp3Lhx\nfpeQeYY3YhLOhKXJ0iqU54jhyMQs5GEeMoEtRo4cqSFDhmjcuHHauXOnXnrpJd1www0aO3asRo4c\n6Xd55nMbMewPYwSuzXYiV/uQqX3I1E7k2kCXXOLMjq5PVpYUiWS2njRIuBFTVVWl0047bbf7i4uL\nVV1d7UlRQH0qKyv9LiHzDG/EJJwJjZi0CuU5YjgyMQt5mIdMYIuf/exneuWVV/Tmm28qPz9fI0eO\n1GeffaZXXnlF5513nt/lmS0arTsjBr7j2mwncrUPmdqHTO1Erg00dqx0wgn1N2Nat5b+938zX5PH\nsqLRxBZXu+WWW5STk6OJEyfWuf/222/Xtm3bNHXqVE8L9ENZWZmKi4tVWlqqoqIiv8tBmE2aJA0b\n5oyfe07q3dvfelL19tvS2Wc74zvvlB580NdyAABADO+BkShPvmcqKqTmzZ1xt27Sm296VyAAAACC\no6JCuuceae5c5w+4y8ud+/PzpU8+kXZZBtgPqbz/TXhGjCSVlJSoXbt2uv7663X99derffv2evLJ\nJ9WoUSMNGzas9gNAiuJnjcTvrxJU7BEDAAAsNHLkSM2fP1/bt2/3u5TgcWfDSMyIAQAACLNmzaRH\nHpG++EL69ltp4EDn/q1bpRtvdGZSB1jjRJ/w8ccf13Z7/vWvf0mSWrVqpVatWunjjz+ufVxWwDfP\nAYxg+NJkCWNpMgAAYKHFixdr4sSJqq6uVseOHdW1a1edffbZ6ty5s3Jzc/0uL/3+85/knxvfiGGP\nGAAAAEjOvjDjxkmvvip9/bU0b5707LNSnz7+1pXC+96EGzHz589P+osBqSgvL1erVq38LiOzDG/E\nJJwJjZi0CuU5YjgyMQt5mIdMYIs33nhD1dXVev/997Vw4UK9/fbbmjx5snbs2KGOHTtq0aJFfpeY\nXvHNlERt2hQbMyPGCFyb7USu9iFT+5Cpncg1BS1aSI8/Ll18sXN76FCpZ0/pkEP8qymF971JLU0G\n+KF///5+l5B5W7fGxgY2YhLOJP4Y4o8NngjlOWI4MjELeZiHTGCTxo0bq3Pnzrr88st12WWXqWfP\nntq5c6dWrFjhd2npd8wxyT+XpcmMw7XZTuRqHzK1D5naiVxTdNFF0lVXOeNNm6QhQ/ytJ4X3vQnP\niNm+fbumTJmi+fPn69tvv9XOnTvrfL6srCzpYoC9GT16tN8lZJ7hM2ISzoQ9YtIqlOeI4cjELORh\nHjKBLZ544gktWLBAb7/9tnbs2KGf/vSnOvvss3XPPffo5JNP9rs8s9GIMQ7XZjuRq33I1D5kaidy\n9cAjjzhLk5WXSy++6HxcfrnfVSUs4UbMgAEDNG/ePP3iF7/Q6aefzl4wyBh3b6JQMbwRk3AmOTlS\nkybS99/TiEmDUJ4jhiMTs5CHecgEtrjpppt00EEHafjw4Ro0aJCaGvi+zVg0YozDtdlO5GofMrUP\nmdqJXD3QqpU0ZYp05ZXO7cGDpXPOkVq29LeuBCXciHn11Vf12muvqXPnzumoB0C8+GZF/GySIGva\nVNq4kUYMAACwxksvvaSFCxfqueee06hRo9ShQwedffbZOvvss/WTn/xEeXl5fpdorvhGTEGBf3UA\nAADAXL17S3/8o/TKK9L69dLw4dIzz/hdVUIS3iOmbdu2atasWTpqAbArt1mx337ObBIbuH8hSiMG\nAABY4tJLL9XEiRNVVlamdevW6Ve/+pW+/vprXXzxxWoZsL/Uy7hNm2JjZsQAAACgPllZ0mOPSc2b\nO7d//3vp9dd9LSlRCTdiHnroId1555368ssv01EPsEclJSV+l5B5brPC0OUtksrEndmzdau3xSCc\n54jhyMQs5GEeMoFNNmzYoJdeekn33nuvfvWrX2nGjBlq3ry5LrjgAr9LMxtLkxmHa7OdyNU+ZGof\nMrUTuXqobVvpt7+N3b7xRqmiwr96EpRwI+a0007T9u3bddRRR6lZs2Zq2bJlnQ8gXcrKyvwuIfMM\nb8QklUn8jJho1NuCQi6U54jhyMQs5GEeMoEt2rdvr9atW2vgwIH6+uuvdcMNN2jJkiUqLy/Xyy+/\n7Hd56bd9e/LPpRFjHK7NdiJX+5CpfcjUTuTqseuvd/aHkaTVq6Vf/SqzXz+F971Z0Whivwnt3r27\nVq9erQEDBqh169bKysqq8/k+ffokXYwpysrKVFxcrNLSUjZUgr+aNnVmjpx0kvTxx35X441zz5Xm\nz3fGW7dKrJkOAIAReA+cvKlTp6pr165q166d36VkVO33zIwZKrr66uRe5JxzpAULnHFlpZSb61l9\nAAAAsNC//iW1by9t2+YsWbZwofSTn2TkS5fNnKnia65J6memxol+sXfffVeLFy/WKaeckuhTASRi\n587Y8l2GzohJSvyxfPcdjRgAABB4gwcPrh27f+e26x+sYQ/cPWKaNJH239/fWgAAAGC+H/9YGjtW\nGjbMWW3n+uuljz4y/r1kwkuTHX/88dq2bVs6agEQr7IyNra1EcM+MQAAwBLPPvus2rdvr9zcXOXm\n5urkk0/WH/7wB7/LMp+7NNkBBzh/0QgAAADsy623Smec4YxXrpTuu8/fehog4UbMgw8+qOHDh2vB\nggXasGGDtmzZUucDgEfc/WEkuxox+fmxcfwxAgAABNTEiRN1880368ILL9Tzzz+v559/Xueff75u\nuukmTZo0ye/yzBbfiAEAAAAaIjtbKimRcnKc2+PHS0uW+FvTPiTciDn//PO1ePFidevWTQcffLAK\nCgpUUFCgAw44QAUFBemoEZAkRSIRv0vIrAA0YpLKZNelyeCZ0J0jAUAmZiEP85AJbDFlyhQ99thj\nGjdunCKRiCKRiMaPH69p06Zp8uTJfpeXfieckNzzdu6U3D/m42dJY3BtthO52odM7UOmdiLXNDrp\nJOmee5xxTY3Uv79UVZXer5ns+14lsUfMfHeT7XosX7486UKAfRkyZIjfJWRWABoxSWVCIyZtQneO\nBACZmIU8zEMmsMXatWt11lln7Xb/WWedpbVr1/pQUUBs3uys6y0xI8YgXJvtRK72IVP7kKmdyDXN\n7rpLeuEFaflyZ5+Y3/5Wuvtuv6uqV8IzYrp27Vrno6ioSCtXrtSIESN02223paNGQJLUo0cPv0vI\nrAA0YpLKhD1i0iZ050gAkIlZyMM8ZAJbHH300Xr++ed3u3/27Nk65phjfKgoINxlySQaMQbh2mwn\ncrUPmdqHTO1ErmnWpImzRFmjH9ocY8ZIK1b4W9MeJDwjxrVw4UKVlJToxRdfVJs2bfTzn/9cU6dO\n9bI2INwC0IhJCnvEAAAAy4wZM0a9e/fWwoUL1blzZ0nS3//+d7311lv1NmjwAxoxAAAASFXHjtKw\nYc5smB07pAEDpHfeiTVnDJFQNevWrdODDz6oY445RldccYWaN2+uHTt2aM6cOXrwwQfVsWPHdNUJ\nhI+tjRiWJgMAAJa5/PLL9f7776tVq1aaM2eO5syZo1atWumDDz7QZZdd5nd55qIRAwAAAC+MGSMd\nfbQzfvddycAJIw1uxFxyySU67rjjtGzZMj388MP65ptvNGXKlHTWBtQxZ84cv0vIrAA0YpLKhEZM\n2oTuHAkAMjELeZiHTGCT4uJizZgxQ6WlpSotLdWMGTPUoUMHv8syW3wjpqDAvzpQB9dmO5GrfcjU\nPmRqJ3LNkLw86amnYrfvvltatcq3curT4EbMX/7yFw0YMEBjxozRRRddpOzs7HTWBexm1qxZfpeQ\nWQFoxCSVCXvEpE3ozpEAIBOzkId5yARBt3PnTo0fP16dO3dWx44dddddd2nbtm1+l5V5NTXJPW/T\nptiYGTHG4NpsJ3K1D5nah0ztRK4Z1LWrdNNNznjrVunGG6Vo1Nuvkez7XiXQiFm0aJEqKipUXFys\nM844Q48++qjKy8uT/sJAombPnu13CZkV34iJ31fFIEllwh4xaRO6cyQAyMQs5GEeMkHQjR07Vr/6\n1a/UrFkztW3bVo888ogGDx7sd1mZ9/nnyT2PpcmMxLXZTuRqHzK1D5naiVwzbNw46bDDnPEbb0jT\np3v7+sm+71UCjZgzzzxTTz75pNauXauBAwfqueeeU5s2bbRz50698cYbqqioSLoIAPUIwIyYpLA0\nGQAAsMSzzz6radOm6a9//avmzJmjV155RTNnztTOnTv9Li2z2rZN7nk0YgAAAOCl5s2l3/0udnvo\nUGndOu9eP9n3vUqgEePKz89X//79tWjRIi1fvlzDhw/Xgw8+qIMPPliRSCTpQgDsgkYMAACA0Vav\nXq0LLrig9nb37t2VlZWlb775xseqfNC8eXLPY48YAAAAeO2ii6Srr3bG//2v5OWM9WTf9yqJRky8\n4447TuPHj9eaNWtY7w7wGo0YAAAAo1VXV2v//fevc19OTo6qqqp8qihg2CMGAAAA6fDww9JBBznj\nl16SXnzR33qUYiPGlZ2drUsvvVRz58714uWAevXr18/vEjIrAI2YpDKJ3yNm61bvikH4zpEAIBOz\nkId5yARBF41G1bdvX/385z+v/di+fbtuuummOvdhD1iazEhcm+1ErvYhU/uQqZ3I1SetWklTpsRu\nDx4sbdzoXz3yqBEDZEKPHj38LiGzAtCISSqT+EYMM2I8FbpzJADIxCzkYR4yQdD16dNHBx98sFq0\naFH7cc0116hNmzZ17kun3/zmN+rcubPy8/PVsmXLeh/z1Vdf6aKLLlJ+fr4OOeQQ3XHHHbvtY7Ns\n2TJ16dJFubm5OvzwwzVhwoS01i2JRoyhuDbbiVztQ6b2IVM7kauPevWS3K1U1q+Xhg3ztZzGvn51\nIAFXXnml3yVkVgAaMUllkp0t5eZK27bRiPFY6M6RACATs5CHecgEQffMM8/4XYKqqqrUq1cvderU\nSU8//fRun9+5c6cuvPBCtWnTRu+9956++eYbXXvttWrSpIn+93//V5JUUVGhnj17qkePHnr88ce1\nfPly9evXTwUFBbr++uvTV7zbiMnLk5o0Sd/XQUK4NtuJXO1DpvYhUzuRq4+ysqTHHpPeflvavFma\nPl36n/+Rzj/fl3KYEQOYym1SNGok7bL2eOC5jSUaMQAAACkZNWqUbrvtNrVv377ez7/++utasWKF\nZs6cqfbt26tnz566//77NXXqVFVXV0uSZsyYoaqqKpWUlOiEE05Qr169dOutt2rixInpLd7dI4bZ\nMAAAAEiHNm2k3/42dnvgQKmiwpdSaMQApnKbFE2bOh1cm7iNGPaIAQAASKv33ntP7du3V6tWrWrv\n69mzpzZv3qxPPvmk9jFdunRR48aN6zxm5cqV2rx5876/yOrVyRXnzoihEQMAAIB0GTBAOvdcZ7x6\ntXT33cm/VrLve0UjBgGyaNEiv0vIrPhGjKGSzsTdJ4YZMZ4K3TkSAGRiFvIwD5kA6bdu3Tq1bt26\nzn3u7XXr1jX4MXuVzB/XVFXFnkcjxihcm+1ErvYhU/uQqZ3I1QBZWdKTTzpbJUjS1KnSO+8k91op\n/FE5jRgExvjx4/0uIbMC0IhJOhP3mCorpZoa7woKudCdIwFAJmYhD/OQCVC/u+++W40aNdrjR3Z2\ntj7//HO/y6x14a23KhKJ1Pno1KmT5syZU+dx8+bNU8TdMDVups3gNWtUUlJS57FlZWWKRCIqLy+v\nc/+oUaM0bty4OvetXr1akUhEK1asqHP/lClTNGLEiDr3VVZWKhKJ7PZLkVmzZqlfv367HVvv3r33\nfhxxBg8ebMVxXHvttVYchy15eHUc9957rxXHYUseXhzHru+jgnocuwrzccRnGuTjiMdxxH7mCfpx\nuAJ7HN9/L40dGzuOyy/XiKFD93ocs2bNUiQSUXFxsQoLCxWJRDT0oYd2q7GhsqLRaDTpZ1uqrKxM\nxcXFKi0tVVFRkd/l4AeVlZXKy8vzu4zMiEalnBynSVFUJJWW+l1RvZLO5LzzpDffdMZbtkjNmnlb\nWEiF6hwJCDIxC3mYh0zMwntgc2zYsEEbNmzY62OOOuqoOkuJTZ8+XUOHDtXGjRvrPG7UqFF65ZVX\nVFZWVnvfqlWrdNRRR2nJkiU65ZRT1KdPH1VUVOill16qfcyCBQvUrVs3bdy4US1atKi3htrvmRkz\nVHT11Ykd5D//KR1zjDO++mppxozEno+04dpsJ3K1D5nah0ztRK4GqamROneW3n/fuX3XXdIDDyT0\nEmUzZ6r4mmuS+pmp8b4fApghVBetHTtiM0UMnhGTdCbxx7R1K40Yj4TqHAkIMjELeZiHTID6HXjg\ngTrwwAM9ea1OnTrpN7/5jcrLy2v3iZk3b55atGihE088sfYx99xzj2pqapSdnV37mOOOO26PTZg6\nDj448cI2bYqNWZrMKFyb7USu9iFT+5CpncjVINnZUkmJ1KGDs0zuhAnSFVc4fwTfUMm87/0BS5MB\nJopfb9DgRkzS3D1iJPaJAQAASMFXX32lpUuX6ssvv1RNTY2WLl2qpUuXausP7yd79OihE088Udde\ne62WLVum119/Xffee6+GDBminJwcSdJVV12lJk2aqH///vr00081e/ZsTZ48WcOHD29YEck0jf77\n39iYRgwAAAAy4aSTJHe5zpoaacAApynTUCn8sRSNGMBE8c0JGxsx8cdEIwYAACBpI0eOVFFRkcaM\nGaPvvvtORUVFKioqUukPS9s2atRIr776qrKzs3XWWWfpuuuuU9++fTVmzJja12jevLnmzZunVatW\n6bTTTtOIESM0evRoDRgwIH2F04gBAACAH+68U2rf3hl/9JEzMyYDaMQgMHbdCMpqAWnEJJ0JjZi0\nCNU5EhBkYhbyMA+ZAKl75plnVFNTs9tHly5dah/zox/9SK+++qq+++47rV+/XuPGjVOjRnV/FGzX\nrp3efvttVVZWavXq1br99tvTW3h8I6agIL1fCwnh2mwncrUPmdqHTO1ErgZq0kR6+mnJfT88Zoz0\n2Wdp/7I0YhAYhYWFfpeQOQFpxCSdCY2YtAjVORIQZGIW8jAPmQAhxh4xxuLabCdytQ+Z2odM7USu\nhjrtNMldhvf7750lytz9utOERgwC45ZbbvG7hMwJSCMm6Uzij6miwptiEK5zJCDIxCzkYR4yAUKM\npcmMxbXZTuRqHzK1D5naiVwNNnq0dPTRznjxYmnq1LR+ORoxgIkC0ohJWrNmsTEzYgAAAMKHRgwA\nAAD8lJcnPfVU7Pbdd0urVqXty9GIAUwUP0skP9+/OtIlvhHDjBgAAIBgW7s28eewRwwAAAD81rWr\ndNNNzriyUrrhBika3fPjk3nf+wMaMQiMFStW+F1C5sTPEolvWhgm6UxYmiwtQnWOBASZmIU8zEMm\ngCV27Ej8OewRYyyuzXYiV/uQqX3I1E7kGgDjxkmHHeaM33xT+v3v9/zYZN73/oBGDALjjjvu8LuE\nzIlvThjciEk6E2bEpEWozpGAIBOzkId5yASwxBFHJP6c+BkxzZt7VgpSx7XZTuRqHzK1D5naiVwD\noHlz6fHHY7eHDdvzzJdk3vf+gEYMAuPRRx/1u4TMiW9OGLxHTNKZsEdMWoTqHAkIMjELeZiHTIAQ\ncxsxzZpJjRv7Wwvq4NpsJ3K1D5nah0ztRK4BceGF0jXXOOP//lcaNGjvS5QlgUYMAqOwsNDvEjIn\nIDNiks6EGTFpEapzJCDIxCzkYR4yAULMbcSwLJlxuDbbiVztQ6b2IVM7kWuATJokHXSQM54zR3rx\nRU9fnkYMYKKANGKSxh4xAAAA4eY2YgoK/K0DAAAAkKRWraQpU2K3Bw+WNmzw7OVpxAAmil+uy8ZG\nDDNiAAAAwmv7dudDYkYMAAAAzNGrl/Sznznjb7919ovxCI0YBMa4ceP8LiFzAjIjJulMmBGTFqE6\nRwKCTMxCHuYhEyCk3NkwEo0YA3FtthO52odM7UOmdiLXgMnKkqZNk1q0cG4/+6z0l7948tI0YhAY\nlZWVfpeQOQFpxCSdSaNGUn6+M46f/YOUhOocCQgyMQt5mIdMAEsk+n6O8/8sLgAAIABJREFURozR\nuDbbiVztQ6b2IVM7kWsAtWkjPfRQ7PbAgbHf1abwe8ysaDQaTbE065SVlam4uFilpaUqKiryuxyE\nUYcO0kcfSTk50vff+11Nehx6qLRunVRYKH35pd/VAAAQerwHRqJqv2dmzFDR1Vc3/InvvSd16uSM\nb7tNevjh9BQIAAAAJCMalc47T3rrLef2oEHS1KkqmzlTxddck9TPTMyIAUzkdlnjl/CyjXtsLE0G\nAAAQLps2xcbMiAEAAIBpsrKkJ56Q8vKc29OmSe+8k9JL0ogBTOQ2Jwxelixl7rFVVDhdZgAAAIQD\nS5MBAADAdEcdJY0dG7sdiTizuZNEIwaBUV5e7ncJmeOuN2h4IyalTNxjq662d/m1DAvVORIQZGIW\n8jAPmQCWaNw4scfTiDEa12Y7kat9yNQ+ZGoncg24W26ROnZ0xv/9r7RhQ9IvRSMGgdG/f3+/S8iM\nmhrJ3cjL8EZMSpnEHxvLk3kiNOdIgJCJWcjDPGQCWOKYYxJ7fHwjpqDA21qQMq7NdiJX+5CpfcjU\nTuQacNnZ0rHHevJSNGIQGKNHj/a7hMxwZ8NIxjdiUsokfv8bGjGeCM05EiBkYhbyMA+ZACHFHjFG\n49psJ3K1D5nah0ztRK4W+PvfPXkZGjEIjKKiIr9LyIz4poThjZiUMmFGjOdCc44ECJmYhTzMQyZA\nSLE0mdG4NtuJXO1DpvYhUzuRa8BFo1JVlScvRSMGME18UyJ+1oht4hsx8bOAAAAAYDcaMQAAAAiC\nrCwpJ8eTl6IRA5gmQDNiUsKMGAAAgHCiEQMAAICguOQSqVHqbRQaMQiMkpISv0vIjADtEZNSJuwR\n47nQnCMBQiZmIQ/zkAkQUu4eMY0aGf9+N4y4NtuJXO1DpvYhUzuRqwXGjpVOOCHlZgyNGARGWVmZ\n3yVkRoBmxKSUCTNiPBeacyRAyMQs5GEeMgEssX17Yo93Z8S0aOHJXxfCW1yb7USu9iFT+5CpncjV\nAs2aSYsXS0OGSIcemvTL8K4XgTF16lS/S8iMADViUsqERoznQnOOBAiZmIU8zEMmgCW++CKxx7uN\nGJYlMxLXZjuRq33I1D5kaidytUSzZtIjj0ivvpr0S9CIAUwToEZMSuKPLX45NgAAAATL4Yc3/LHR\nKI0YAAAAhA6NGMA0YWzEMCMGAAAguPLyGv7YykqputoZFxSkpx4AAADAMDRiANPENyXiN7S3Tfyx\n0YgBAAAIh02bYmNmxAAAACAkaMQgMCKRiN8lZEb8Ml2Gz4hJKRNmxHguNOdIgJCJWcjDPGQChJC7\nLJlEI8ZQXJvtRK72IVP7kKmdyBUuGjEIjCFDhvhdQmYEaGmylDJhjxjPheYcCRAyMQt5mIdMgBCi\nEWM8rs12Ilf7kKl9yNRO5AoXjRgERo8ePfwuITMC1IhJKRNmxHguNOdIgJCJWcjDPGQChFB8I4Y9\nYozEtdlO5GofMrUPmdqJXOGiEQOYJkCNmJTk58fGNGIAAADCgT1iAAAAEEI0YgDThKURk50t5eU5\nYxoxAAAAwfXvfzf8sSxNBgAAgBCiEYPAmDNnjt8lZIbblMjJkZo08beWfUg5E7fRRCPGE6E5RwKE\nTMxCHuYhE8ASO3Y0/LE0YozHtdlO5GofMrUPmdqJXOGiEYPAmDVrlt8lZIa7cX0AZsOknIl7jO4x\nIyWhOUcChEzMQh7mIRMghGjEGI9rs53I1T5kah8ytRO5wkUjBoExe/Zsv0vIDHd2SAAaMSlnwowY\nT4XmHAkQMjELeZiHTIAQit8jpqDAvzqwR1yb7USu9iFT+5CpncgVLhoxgGkC1IhJWdOmzr9VVYkt\naQEAAABztG3b8McyIwYAAAAhRCMGMEl1tbRtmzMOQyMm/hiZFQMAABBMzZs3/LE0YgAAABBCNGIA\nk8TvlRK2Rgz7xAAAANjPbcQ0bizl5flbCwAAAJAhNGIQGP369fO7hPSLnxUSgEZMypkwI8ZToThH\nAoZMzEIe5iETIITcRkxBgZSV5W8tqBfXZjuRq33I1D5kaidyhYtGDAKjR48efpeQfvGzQtz9UwyW\ncibxx0gjJmWhOEcChkzMQh7mIRMghDZtcv5lWTJjcW22E7nah0ztQ6Z2Ile4aMQgMK688kq/S0i/\ngM2ISTkTZsR4KhTnSMCQiVnIwzxkAoTMzp3S5s3OmEaMsbg224lc7UOm9iFTO5ErXDRiAJMErBGT\nMvaIAQAACI+KCikadcY0YgAAABAigWzETJ06VUceeaRyc3N15pln6sMPP9zr4xcsWKDi4mLtv//+\nOvbYYzV9+vQMVQokKMyNGGbEAAAABNPq1Q17nLs/jOTsEQMAAACEROAaMbNnz9bw4cM1ZswYLVmy\nRKeccop69uyp8vLyeh+/atUqXXzxxerWrZuWLl2q2267Tddff73eeOONDFeOVC1atMjvEtIvYI2Y\nlDNhjxhPheIcCRgyMQt5mIdMAEs0auCPle7+MBIzYgzGtdlO5GofMrUPmdqJXOEKXCNm0qRJGjhw\noK677jodf/zx+t3vfqe8vDw9/fTT9T7+scce01FHHaXx48fruOOO0+DBg/WLX/xCkyZNynDlSNX4\n8eP9LiH9AtaISTkTZsR4KhTnSMCQiVnIwzxkAljisMMa9rj4GTE0YozFtdlO5GofMrUPmdqJXOEK\nVCOmqqpKpaWl6tatW+19WVlZ6t69uxYvXlzvc9577z117969zn09e/bc4+Nhrueee87vEtIvfp+U\n+Nkihko5ExoxngrFORIwZGIW8jAPmQAhQyMmELg224lc7UOm9iFTO5ErXI39LiAR5eXlqqmpUevW\nrevc37p1a61cubLe56xbt67ex2/ZskU7duzQfvvtt+cvOHWq1KaNM87Kcj7ccX337evzyTwnkdds\n1Ejabz9p//33/G/z5s56zPn5secHRF5ent8lpF/AZsSknEn8McY3oZCUtJwj0ai0bZu0ebPzy5Pv\nvpO2b5d27Nj94/vvpZoaaefO+j+i0T3fn0xdmXhOKs+TFIKrVqCQh3lqM/n1r6XcXD9LAZAJNGIC\nIRQ/d4UQudqHTO1DpnYiV7gC1YjJuD0sd2aFnBynIVNQILVqJRUWSocfHvs46STpRz8KXLMm8ALW\niEkZM2L8FY1K69ZJn34qrVghffWV9PXXsY+NG51fmFRX+10pANsNH04jBgiD+D1iCgr8qwMAAADI\nsEAtTdaqVStlZ2dr/fr1de5fv369DjnkkHqfc8ghh9T7+ObNm+99NoykCyVFdvnoJGnOLo+b98Pn\ndjVYUsku95X98NjyXe4fJWncLvet/uGxK3a5f4qkEbvcV/nDY3fd/mmWpH711Na7qkpzvv1WWrlS\n+vvfpVmzNO/BBxW5+WbpwgudZsyBB0pnn63BHTqo5Je/rDNjoaysTJFIROXldY9k1KhRGjeu7pGs\nXr1akUhEK1bUPZIpU6ZoxIi6R1JZWalIJLLbRlazZs1Sv367H0nv3r01Z07dRObNm6dIZPdEBg8e\nrJKSuokYdxxxzYh5y5cH9zji7DWPV1+N3VFREdzjCEoeFRWa98ADihx7rHTOOVLLls6sv+7dNXjI\nEJWMGyfNmCHNny99/rnKyssVqa72/3olS6674jgkjiMexxHTu39/O6+7Bh/HrFmzVFxcrMLCQkUi\nEUUiEQ0dOnS3OgFPMSMGAAAAIZUVjaaw5ooPzjzzTJ1xxhl65JFHJEnRaFSFhYW69dZbd/uhU5Lu\nuusu/eUvf9HSpUtr77vqqqv03//+V6+99lq9X6OsrEzFxcUqnTZNRccc4/zVuPvfFP/vnsbJfN6L\n16ypcZYHcpcNiv/X/diyxfkr902bnI+NGxs+E6FxY6lzZ6l3b+mKK5yZNBk0YsQITZgwIaNfM+N6\n9ZL+9CdnvGqV0xAzWMqZbN4c+yH8vPOkefO8KSyk6s1jwwbp5Zell16S3nrLWT6sIZo2lQ46yMmn\nRYvYv82axZY73PWjSRPnOtGoUd0Pd+nE+j7cz3nBqxl8Hs4EHPHEE5pw442evR5SQx7mqc2ka1dn\nti58VfseuLRURUVFfpeDAEj4e+a226TJk53x4sXSmWemt0AkJRQ/d4UQudqHTO1DpnYiV7uk8jNT\n4JYmGzZsmPr27avi4mKdfvrpmjRpkiorK9W3b19J0t13361vvvlG06dPlyTddNNNmjp1qu688071\n799fb731ll544YU9NmHqOOMMKQw/hG7bJq1e7Xx8+aX0z39Ky5ZJS5dK33wTe1x1tfT2287HrbdK\nF1/sLCXSuXNGljArLCxM+9fwXcCWJks5k6ZNY2P2iElZnTwWL5amTXMaezt21P+Etm2ldu2kE0+U\nTjhBOvJI5762bZ39pJCyws8+k7p397sM/IA8zEMmgCXilxzbG2bEBEIofu4KIXK1D5nah0ztRK5w\nBW5GjCRNmzZN48eP1/r163XqqadqypQpOu200yRJ/fr105dffqm//e1vtY9fuHChhg4dqk8//VSH\nHXaYRo4cqWuvvXaPr89fA8b5z3+khQudv6R/4w2nSbOrM86QHnxQOvvsjJdnnZ/+VHKXDdmxw5lh\nYLv8fKmy0mkILF/udzXB99570r33Sm++ufvnDjtMuuQSqUsXp4H6ox9lvj4AgLF4D4xE1X7PzJih\noquv3vcTfvYzae5cZ7xundS6dXoLBAAAADwUqhkxkjRo0CANGjSo3s8988wzu93XpUsXlZaWprss\nOx10kHT55c5HNOrMlPnjH519JNzZMu+/7+w3ceml0kMPSUcd5W/NQebOiGnSJBxNGMmZFVNZ2fAl\n8lC/9euloUOlWbPq3t+ypdSnj3TlldJpp2Vk9hoAAEC94mfOtGjhXx0AAABAhnm0MD9CIStLOuUU\nadw46YsvpGefldq3j31+zhzp5JOlJ56I7VuDxLjNiAAsS+YZ91hpxCRvxgxnabH4JsxRR0klJdKa\nNdLEiVLHjjRhAACAv9ylyfbf3/kAAAAAQoJGDJLTpIl07bXSkiXSM89Ihx7q3L91qzRwoHTFFZ7v\n+bFixQpPX89IAWvEeJIJjZjkbdsm3XCDcy5u2qQVkjMD5vHHpRUrpP79pdxcv6sMtVBctwKEPMxD\nJoAlGvp+w23EsD+M0bg224lc7UOm9iFTO5ErXDRikJrsbKlvX2nlSunGG2P3v/iidNZZ0qpVnn2p\nO+64w7PXMlbAGjGeZOJuCl9VtedN5bG7//xH6tpVeuqp2rvuaNtW+uwz51zMyfGxOLhCcd0KEPIw\nD5kAljjiiIY9zm3EFBSkrRSkjmuzncjVPmRqHzK1E7nCRSMG3mjWzPkr/LlzY79YX77c2Xz+8889\n+RKPPvqoJ69jrOpqaft2ZxyQRownmbjfL5K0ZUvqrxcGq1ZJnTtLH37o3M7NlZ59Vo+++6508MG+\nloa6rL9uBQx5mIdMgBCpro790REzYozGtdlO5GofMrUPmdqJXOGiEQNvXXKJ9MEH0jHHOLfXrJG6\ndJE+/TTlly4sLEz5NYwWv5RbQBoxnmQSf6w0Yvbtq6+cmTD/93/O7TZtpPfek6691v5zJIDIxCzk\nYR4yAUJk8+bYmEaM0bg224lc7UOm9iFTO5ErXDRi4L3jjpMWLZJOPtm5vX691LOn9PXX/tZluvgm\nREAaMZ5gRkzD/ec/0nnnSatXO7ePO056993YuQYAAGAqd1kyiUYMAAAAQodGDNLj4IOl+fOloiLn\n9po10gUX1P1LONQV34Ro0cK/OjItvhHjLleB3W3fLl18sbMfkyQdfbS0YIF0+OG+lgUAANAgNGIA\nAAAQYjRikD4tW0qvvSYdeaRze/lyqU8fKRpN6uXGjRvnYXEGim/ExDcnDOZJJsyI2bdoVBoyxFn2\nT5LatpXeeEM65JA6D7P+HAkgMjELeZiHTIAQ2bQpNi4o8K8O7BPXZjuRq33I1D5kaidyhYtGDNKr\ndWvpr391mjKS9P/+nzRpUlIvVVlZ6WFhBgpgI8aTTGjE7NuTT0olJc44N1d69VXpiCN2e5j150gA\nkYlZyMM8ZAJYIn6vwz1hRkxgcG22E7nah0ztQ6Z2Ile4aMQg/Y49VvrDH2K377zT2Vw8QWPGjPGw\nKAMFsBHjSSY0YvZu5Urptttit596Sjr11Hofav05EkBkYhbyMA+ZAJb46qt9P4ZGTGBwbbYTudqH\nTO1DpnYiV7hoxCAzLrxQuvtuZ1xdLfXt6+x5gZgANmI8QSNmz6qrpeuui50rgwdLV13lb00AAAC7\nOvrofT+GRgwAAABCjEYMMue++6TTT3fGK1c6txFDI4ZGzK7Gj4/tC3Pssc5tAAAA0+Tk7Psx8Y0Y\n9ogBAABAyNCIQeY0biw9/XTsB7Xx46UlSxr89PLy8jQVZogANmI8yYRGTP1WrZLuv98ZN2okTZ8u\n5eXt9SnWnyMBRCZmIQ/zkAkQIps2xcbMiDEa12Y7kat9yNQ+ZGoncoWLRgwy66STpHvuccY1Nc7e\nF9Fog57av3//NBZmgAA2YjzJhEZM/YYNiy1Jdttt0pln7vMp1p8jAUQmZiEP85AJECIsTRYYXJvt\nRK72IVP7kKmdyBUuGjHIvLvuko45xhm/84700ksNetro0aPTV5MJAtiI8SQTGjG7mzdPevllZ9y6\ntdTA/2frz5EAIhOzkId5yAQIERoxgcG12U7kah8ytQ+Z2olc4aIRg8xr0kSaMCF2+447pB079vm0\noqKiNBZlgAA2YjzJhEZMXTt3SrffHrs9YUKDvx+sP0cCiEzMQh7mIRMgRGjEBAbXZjuRq33I1D5k\naidyhYtGDPwRiUjnnOOM//1v6fHH/a3HBAFsxHgiP1/KynLGNGKkP/1JWr7cGXfsKF1zjb/1AAAA\neMHdI6ZpU2fvSAAAACBEaMTAH1lZ0kMPxW6PGxfbDyOs4psQzZr5V0emZWXFjjfsjZjqamnUqNjt\nsWNjTSoAAABTrVy578e4M2KYDQMAAIAQohED/3ToIF16qTP+5huppGSvDy/Zx+cDz21C5OdL2dn+\n1tJAnmXizgAKeyNm5szYLzK6dJG6d0/o6dafIwFEJmYhD/OQCWCJnTv3/RgaMYHBtdlO5GofMrUP\nmdqJXOGiEQN/jRwZGz/44F73iikrK8tAQT5ymxABWpbMs0xoxDi/wHjwwdjt++9PeDaM9edIAJGJ\nWcjDPGQChMSOHdK2bc6YRozxuDbbiVztQ6b2IVM7kStcNGLgrw4dnP1iJGnNGmnGjD0+dOrUqRkq\nyicBbMR4lol7zFu3SjU13rxm0Lz2mrRihTP+6U+dGTEJsv4cCSAyMQt5mIdMgJBwZ8NIUkGBf3Wg\nQbg224lc7UOm9iFTO5ErXDRi4L9f/zo2fuQRKRr1rxa/RKOBbMR4Jv6Yv/vOvzr8FL9n0u23+1cH\nAABAog4/fO+fj2/EMCMGAAAAIUQjBv47/XTpzDOd8fLl0oIFvpbji61bYw2osDdiwrg82T/+Efu+\nP/ZY6eKLfS0HAAAEx29+8xt17txZ+fn5atmy5W6fX7Zsma666ioVFhYqLy9PJ510kiZPnlzv47p0\n6aLc3FwdfvjhmjBhQsOLyMvb++dpxAAAACDkaMTADLfdFhs/8oh/dfglvvlAI8a/OvwS/8uQ4cOl\nRlyaAQBAw1RVValXr166+eab6/18aWmpWrdurZkzZ+rTTz/Vr3/9a919992aNm1a7WMqKirUs2dP\nHXnkkSorK9OECRM0evRoPfXUU94USSMGAAAAIcdv+2CGyy+X2rZ1xnPnSl98sdtDIu5eMjYKaCPG\ns0zC3IjZuFF6/nlnXFAgXXtt0i9l9TkSUGRiFvIwD5kAqRs1apRuu+02tW/fvt7P9+vXT5MmTdJP\nf/pTHXHEEbrqqqvUr18/vfTSS7WPmTFjhqqqqlRSUqITTjhBvXr10q233qqJEyd6UyR7xAQK12Y7\nkat9yNQ+ZGoncoWLRgzMkJMjDRrkjKNR6emnd3vIkCFDMlxUBgW0EeNZJmFuxMyYIe3Y4Yz79JFy\nc5N+KavPkYAiE7OQh3nIBPDH5s2b6yxj9t5776lLly5q3Lhx7X09e/bUypUrtXnz5tS/4KZNsTEz\nYozHtdlO5GofMrUPmdqJXOGiEQNz9OsnZWc749//XqqpqfPpHj16ZL6mTAloI8azTMLaiIlGpSee\niN2+4YaUXs7qcySgyMQs5GEeMgEy791339Xzzz+vgQMH1t63bt06tW7dus7j3Nvr1q1L/YuyNFmg\ncG22E7nah0ztQ6Z2Ile4aMTAHIceKl14oTNes0Z6801/68mkgDZiPBPWRszixdInnzjjn/xEOvFE\nf+sBAABGuPvuu9WoUaM9fmRnZ+vzzz9P+HU//vhjXXrppRo9erS6devmWb0XXnihIpFInY9OnTpp\nzpw5zgN+aMTMkxSZMGG35w8ePFglJSV17isrK1MkElF5eXmd+0eNGqVx48bVuW/16tWKRCJasWJF\nnfunTJmiESNG1LmvsrJSkUhEixYtqnP/rFmz1K9fv91q6927d+w4fjBv3rx6lxnhODgOjoPj4Dg4\nDo6D4+A47DmOWbNmKRKJqLi4WIWFhYpEIho6dOhuNTZUVjQajSb9bEuVlZWpuLhYpaWlKioq8ruc\ncJkzR7rsMmd8xRWxvTNs9/vfOzOCJOmxx6SbbvK1nIybPVv6n/9xxhMnSilc1ALlhhskdxPcZ59N\naX8YAABSxXtgc2zYsEEbNmzY62OOOuqoOkuJTZ8+XUOHDtXGjRvrffynn36qc889VzfeeKPuu+++\nOp/r06ePKioq6uwbs2DBAnXr1k0bN25UixYt6n3N2u+ZP/1JRb/4xZ6Lvekm6fHHnfGSJdKpp+71\n2AAAAAATpfIzEzNiYJaLLpIOPtgZz5kjxf0Aumun1CoBnRHjWSZhnBGzY4f0wgvOuGlT6fLLU35J\nq8+RgCITs5CHecgEqN+BBx6oY489dq8f8U2Yffnkk0907rnnql+/frs1YSSpU6dOWrhwoWrilgae\nN2+ejjvuuD02YerIz9/759kjJlC4NtuJXO1DpvYhUzuRK1w0YmCWnBzpmmuccVVV7BfVcqaDWSug\njRjPMgljI+a112LrpV92mZSXl/JLWn2OBBSZmIU8zEMmQOq++uorLV26VF9++aVqamq0dOlSLV26\nVFu3bpXkLEd2zjnnqGfPnvrlL3+p9evXa/369XWWcrjqqqvUpEkT9e/fX59++qlmz56tyZMna/jw\n4Q0rYpf9ZXbDHjGBwrXZTuRqHzK1D5naiVzhohED81x9dWw8e3bccHY9D7ZEQBsxnmXSrFlsHJZG\nzB//GBvHf8+nwOpzJKDIxCzkYR4yAVI3cuRIFRUVacyYMfruu+9UVFSkoqIilZaWSpJefPFFbdiw\nQTNmzFCbNm1qP04//fTa12jevLnmzZunVatW6bTTTtOIESM0evRoDRgwwJsi3UZMVlag3uuGFddm\nO5GrfcjUPmRqJ3KFq+Hz2YFM6dBBOvpo6Z//lBYskNaulQ491O+q0iugjRjPhG1GzObN0iuvOOOD\nD5Y83CwXAACEyzPPPKNnnnlmj58fNWqURo0atc/Xadeund5++20vS4txGzHNm0uN+FtAAAAAhA/v\ngmGerKzYxu3RaJ3lyaxFIyY2DkMj5uWXnT1iJKl3bymBNd4BAAACx90jpqDA3zoAAAAAn9CIgZl6\n946NwzCFL+yNmPilySoq/KsjU158MTa+8kr/6gAAAEi3aDQ2I4b9YQAAABBSNGJgpnbtpJNOcsZ/\n/7u0Zo369evnb03pFN+IiW9KGM6zTHJypNxcZ2z7jJiKCumNN5zxoYdKZ5zh2UtbfY4EFJmYhTzM\nQyZACGzbJlVVOWMaMYHAtdlO5GofMrUPmdqJXOGiEQNzXXFFbDx3rnr06OFfLenmNh/228/5CAhP\nM3FnAtneiPnrX2PLkl16qafrpFt9jgQUmZiFPMxDJoAl/vOfPX/OnQ0j0YgJCK7NdiJX+5CpfcjU\nTuQKF40YmOtnP4uN587VlTYv4eQ2HwK2LJmnmYSlEfPyy7Hxz3/u6UtbfY4EFJmYhTzMQyaAJcrL\n9/w5d38YiT1iAoJrs53I1T5kah8ytRO5wkUjBuY65RSpsNAZ/+1vdv+CPqCNGE/FN2KiUX9rSZfv\nv5f+/GdnXFAgde3qbz0AAADpxowYAAAAgEYMDJaVJUUizriqSnr9dX/rSZdolEaMFDv2mhpnLXEb\nxTcUL77Y2RsHAADAZjRiAAAAABoxMJzbiJG06KmnfCwkjXbsiG1gGrBGzKJFi7x7sfhjt3X2kzsb\nRnL2h/GYp3nAE2RiFvIwD5kAlmjWbM+foxETOFyb7USu9iFT+5CpncgVLhoxMFvXrrW/oB8/f75U\nXe1zQWkQ33QIWCNm/Pjx3r1YGBoxf/2r82/jxlL37p6/vKd5wBNkYhbyMA+ZAJY47LA9fy6+EcMe\nMYHAtdlO5GofMrUPmdqJXOGiEQOzNWkinX++JOm5qirpvfd8LigNAtyIee6557x7MdsbMf/8p/Mh\nSZ07pyVrT/OAJ8jELORhHjIBQmDTptiYGTGBwLXZTuRqHzK1D5naiVzhohED811wgSQpT5LmzfO1\nlLQIcCMmLy/PuxezvRHjzoaRar+nveZpHvAEmZiFPMxDJkAIsDRZ4HBtthO52odM7UOmdiJXuGjE\nwHznnRcbv/66f3WkS4AbMZ6KX1t882b/6kiX+EbMD7O8AAAArEcjBgAAAKARgwBo21Zq184Zf/ih\ntGGDv/V4jUaMo0WL2Ni2GTHbt0vz5zvjQw+VTj7Z33oAAAAyhUYMAAAAQCMGAdGzp0ZIUjQqvfWW\n39V4K8CNmBEjRnj3YvE/mMf/wG6Dd96RKiud8fnnS1lZafkynuYBT5CJWcjDPGQChED8HjEFBf7V\ngQbj2mwncrUPmdqHTO1ErnDRiEEw9OihQnds2/Jk8ctwBawRU1ivbldyAAAgAElEQVRYuO8HNVT8\njBjblibL0LJknuYBT5CJWcjDPGQCWCK+2bIr9w9ssrOl/PzM1IOUcG22E7nah0ztQ6Z2Ile4aMQg\nGH76U92y//7O+PXXnZkxtohvOsQ3IwLglltu8e7FbJ4R88Ybzr+NGkndu6fty3iaBzxBJmYhD/OQ\nCWCJdev2/Dn3fd0BB6RtVjC8xbXZTuRqHzK1D5naiVzhohGDYMjNlbp2dcZffy393//5W4+XWDfb\nYeuMmPJyaflyZ1xUJLVs6W89AAAAXjvhhD1/Lr4RAwAAAIQUjRgExznnxMYLFvhWhucCPCPGU7bO\niHn77dj47LN9KwMAACDjdu6Mva9jfxgAAACEGI0YBMaKI46I3bCpERPfdAhYI2bFihXevZitM2Lm\nz4+N45uJaeBpHvAEmZiFPMxDJoDlvvvOacZIzIgJEK7NdiJX+5CpfcjUTuQKF40YBMYdf/iD1LSp\nc2PBAnv2iYlvOgTsB9Q77rjDuxdr2tTZQ0Wya0aM2zTMzpZ+8pO0filP84AnyMQs5GEeMgEsxxK8\ngcS12U7kah8ytQ+Z2olc4aIRg8B4dNq02C+y1661Z5+Y+EZM8+b+1ZGERx991LsXy8qKzYqxZUbM\nt99Kn3zijIuL056vp3nAE2RiFvIwD5kAlqMRE0hcm+1ErvYhU/uQqZ3IFS4aMQiMwsJCqWvX2B22\nLE/m/oDarJkzayJACgsLvX1B9wd0W2bExO8Pk+ZlyaQ05IGUkYlZyMM8ZAJYLv49HXvEBAbXZjuR\nq33I1D5kaidyhYtGDIIlfrPz+F9yB5k7+yNg+8OkRfyMGBuWnovfHyb+excAAMAmNTX1379pU2zM\njBgAAACEGI0YBEtxsZSf74xt2SfG/UtBfjiNNWKqqqRt2/ytxQsZ3B8GAADAN59/Xv/9LE0GAAAA\nSKIRgwAZN26clJMT+4X2N99I//ynv0Wl6vvvYw2HAM6IGTdunLcvGP8DetD3ifn2W+mzz5xxx45S\n06Zp/5Ke54GUkYlZyMM8ZAJYjkZMIHFtthO52odM7UOmdiJXuGjEIDAqKyudgU3Lk8U3GwLYiKnN\nxCvx/wdB3yfm3Xdj4y5dMvIlPc8DKSMTs5CHecgEsByNmEDi2mwncrUPmdqHTO1ErnDRiEFgjBkz\nxhnEL/G0eLE/xXglvhETwB9OazPxik0zYuIbMWedlZEv6XkeSBmZmIU8zEMmgOXi94gpKPCvDiSE\na7OdyNU+ZGofMrUTucJFIwbBU1zsLFEm1f1ldxAFfEaM52ydEdOpk391AAAApNvRR9d/PzNiAAAA\nAEk0YhBEublShw7OeMUKacMGf+tJBT+c1mXLjJgdO6R//MMZH320dPDB/tYDAACQTu4fSe2K97oA\nAACAJBoxCJDy8vLYjfilnt57L/PFeCXgM2LqZOKF+P+DIDdiysqcZoyUsWXJpDTkgZSRiVnIwzxk\nAliORkwgcW22E7nah0ztQ6Z2Ile4aMQgMPr37x+7Ef/L7SDvExP/w2kAGzF1MvFC/A/oQV6aLH5Z\nss6dM/ZlPc8DKSMTs5CHecgEsJy7R8x++zmz2hEIXJvtRK72IVP7kKmdyBUuGjEIjNGjR8duxO+5\nEeR9YuJnfQTwrwTrZOIFW2bExH9PZnBGjOd5IGVkYhbyMA+ZAJZz/7AmgO9zw4xrs53I1T5kah8y\ntRO5wkUjBoFRVFQUu3HYYdKPfuSM339fqq72p6hUBXxGTJ1MvGDDjJhoNNaIad5cOvHEjH1pz/NA\nysjELORhHjIBLEcjJpC4NtuJXO1DpvYhUzuRK1w0YhBc7kyDykpp+XJ/a0lWwGfEeM6GGTFffCGt\nW+eMO3WSGnGZBQAAIVRTI23Z4ox5nwsAAICQ4zeECC4blieLbzYEcEaM52yYEePTsmQAAAC+Wbly\n9/vcJowkFRRkrhYAAADAQDRiEBglJSV174j/JXdQGzHxzYYA/qXgbpmkyoYZMR98EBufeWZGv7Tn\neSBlZGIW8jAPmQCWaNVq9/s2bYqNA/g+N8y4NtuJXO1DpvYhUzuRK1w0YhAYZWVlde849VRpv/2c\ncfwvv4Mk4DNidsskVU2aSLm5zjioM2L+8Y/Y+LTTMvqlPc8DKSMTs5CHecgEsMSBB+5+X8D/4CjM\nuDbbiVztQ6b2IVM7kStcWdFoNOp3EaYpKytTcXGxSktL2VDJdGeeKb3/vjPeuDF4yx4UFUlLlkjZ\n2VJVlZSV5XdF/jv0UGePlR/9SFq92u9qElNVJTVvLm3fLv34x9I//+l3RQAANBjvgZGovX7P/O1v\nUrduzviuu6QHHsh8gQAAAICHUvmZiRkxCLaOHWPj0lL/6kiWOyPmgANowrjcv5gM4oyYTz5xmjBS\n3e9NAACAsGFGDAAAAFCLRgyCLX7ppw8/9K+OZLk/oAZwWbK0cf8vKiqkmhp/a0lU/PcgjRgAABBm\n8XvEBG3WOgAAAOAxGjEItvhfdgetERON1p0RA0f8/8WWLf7VkYz4/WFoxAAAgDBjRgwAAABQi0YM\nAiMSiex+53HHSU2bOuOgNWIqK2MzPgI6I6beTFIV/3/hNqqCwv0ebNTI2f8nw9KSB1JCJmYhD/OQ\nCWAxGjGBxbXZTuRqHzK1D5naiVzhohGDwBgyZMjud2ZnS8XFznjNGmeT96Cw4IfTejNJVfz/RZD2\nidm+XVq+3BmfeKKUn5/xEtKSB1JCJmYhD/OQCWCJtWt3v8+C97phxbXZTuRqHzK1D5naiVzhohGD\nwOjRo0f9n4hfAip+aSjTxc/2COiMmD1mkoqgzoj56COputoZx+9dlEFpyQMpIROzkId5yASwRH1/\nPMMeMYHFtdlO5GofMrUPmdqJXOGiEYPgi/+ld5CWJ4v/gTWgjZi0iP+/CNKMmPjvPfaHAQAAYceM\nGAAAAKAWjRgEX/wvvYPUiImf7cEPpzHx/xdBmhETPxuLRgwAAAg7/ugIAAAAqEUjBoExZ86c+j9x\n5JHSgQc64w8/lKLRzBWVCgt+ON1jJqkI+oyYnBzp5JN9KSEteSAlZGIW8jAPmQCWaNly9/vc93F5\neVKTJpmtBynh2mwncrUPmdqHTO1ErnDRiEFgzJo1q/5PZGXFlicrL5fWrMlcUamwYN3sPWaSiiDO\niKmokFascMannCLtt58vZaQlD6SETMxCHuYhE8ASrVvvfp/biAno+9ww49psJ3K1D5nah0ztRK5w\n0YhBYMyePXvPn+zQITZesiT9xXjBgkbMXjNJVhBnxHz0UWwmVnGxb2WkJQ+khEzMQh7mIRPAYu57\nXZbgDRyuzXYiV/uQqX3I1E7kCheNGNjh1FNj448+8q+ORMQ3YupbziGsgjgjJv57Lr4pCAAAEEbf\nfy9VVjpjGjEAAAAAjRhYIogzYjZujI0DOiMmLeJ/WI9vVpks/nuORgwAAAi7+D+moREDAAAA0IiB\nJY4+WsrPd8ZBacRYsDRZWsT/XwSlEePOiGnUSGrXzt9aAAAA/Ba/vCyNGAAAAIBGDIKjX79+e/5k\no0bOJumS9OWXwfgFvgWNmL1mkqz8fCknxxkHIcfvv5c+/tgZH3+8lJfnWylpyQMpIROzkId5yASw\nlAXvc8OMa7OdyNU+ZGofMrUTucIVqEbMpk2bdPXVV6tFixYqKCjQ9ddfr61bt+7x8dXV1brzzjt1\n8sknq2nTpmrbtq369OmjtWvXZrBqeKVHjx57f0D8klBB2CfG/QG1SRMpN9ffWpK0z0ySkZUV+4E9\nfvk2U332mVRV5Yzj9yryQVryQErIxCzkYR4yASzxn//Uvc2MmEDj2mwncrUPmdqHTO1ErnAFqhFz\n1VVX6bPPPtNbb72lP//5z1q4cKH+P3v3Hh5Vde9//DMJ4X6Ri4Ci4VLkJgokilIs3hAE7dj2VCzW\n2gb0aRVQsaK1pxb0nGojVg/irdUctdKiPa2CVi1RfoBiFTGDCEIAReSi4X5HIA7z+2PcmUnIZSYz\ne/baK+/X8+RhZdiz99p8ZjZ78s1a6+c//3mN2x86dEgffvihpk6dqmXLlumll17SmjVrdMUVV2Sw\n10iXsWPH1r5B/A/B/TA9mVOIadcuWnzwoTozqa927aJ/+mFEjEHrw7iWB+qNTMxCHuYhE8AS8YWX\nqt9TiPEdrs12Ilf7kKl9yNRO5ApHI687kKjS0lLNmzdPJSUlGvTNDztnzpypyy67TA888IA6d+58\n3HNat26tefPmVXrskUce0TnnnKPNmzfrlFNOyUjfkSF+GxHjjPZguobjOf8m+/dHR5s4U5WZKP61\n5vGIGAAAAE+cdlrl7ynEAAAAAJX4ZkTMu+++q7Zt21YUYSRp+PDhCgQCWrJkScL72bNnjwKBgE7g\nA4F9Tj9davRNbdH0ETHl5ZIzrR6FmOM5I2Kk43/D0jQUYgAAACpjjRgAAACgEt8UYsrKytSxY8dK\nj2VnZ6tdu3YqKytLaB9HjhzRr371K1199dVq2bKlG92EixYvXlz7Bk2bSn37RturV0uHD7vfqfqy\n5MNpnZnUV/y/icnrxEQisULMKadIHTp42h3X8kC9kYlZyMM8ZAJYihExvsa12U7kah8ytQ+Z2olc\n4fC8EHPnnXcqKyurxq/s7GytXbs25eN8/fXXuvLKKxUIBPTYY4+loefItPvvv7/ujZwRU+GwtHKl\nux1KRXwhJn70h88klEl9xP+bmLxOzIYN0t690bYBo2FcywP1RiZmIQ/zkAlgKQoxvsa12U7kah8y\ntQ+Z2olc4fC8EHPbbbeptLS0xq/Vq1erR48e6ty5s7Zt21bpueFwWLt27ap2fZh4ThFm06ZNKi4u\nTng0zOjRoxUMBit9DRkyRHPmzKm0XXFxsYLB4HHPnzBhgoqKiio9FgqFFAwGtWPHjkqPT506VYWF\nhZUe27hxo4LBoEpLSys9PnPmTE2ZMqXSY4cOHVIwGDyuyjp79mwVFBQc17errrrKd+fRpk2bus9j\n0CAVSwpKx01PZsp5FBQUHDcixo95FBQU6Pnnn6/0eNrOo0mT2IO7d5v7/li2TBMkFUmV1iiyLg+u\nV/U+j/hM/Hwe8fx8HuRh3nk4mfj9PBx+Oo/Zs2crPz9fubm5Ffe5kydPPq6fQL1QiPG1qveUsAO5\n2odM7UOmdiJXOAKRSCTidScSUVpaqtNPP10ffPBBxToxxcXFGj16tDZv3lxjMcYpwqxfv14LFixQ\nuwRGH4RCIeXn56ukpER5eXlpPQ+4bOFC6cILo+0bb5QefdTT7tTotdekyy6LtqdOlaZN87Q7xpkx\nQ7rllmh71izpxz/2tj81+e1vpf/6r2j7H/+QfvADb/sDAEAKuAdGsmp8zYwaJf3rX9H2rl2+nooX\nAAAAcKTymcnzETGJ6tOnj0aOHKnrr79eS5cu1TvvvKNJkyZp7NixlYowffr00dy5cyVFizD/8R//\noVAopFmzZqm8vFxbt27V1q1bVV5e7tWpwE3x00NVGRFjFEvWiHGNX6Ymi3+NxY2IAQAAaFCqrs0Y\nf//WunVm+wIAAAAYyDeFGEn661//qj59+mj48OG6/PLLNWzYMP3xj3+stM26deu095s1G7Zs2aJ/\n/vOf2rx5swYOHKiTTz5ZJ510kk4++WS9++67XpwC3HbCCVJubrS9cmV0MXUTUYipXfy/ya5d3vWj\nLsuXR/9s3Vrq1s3TrgAAAHjms88qf+9MTda6tZSdnfn+AAAAAIbxVSHmhBNO0KxZs7R3717t3r1b\nTz75pJo3b15pm3A4rGuvvVaS1LVrV4XD4Upfx44dUzgc1rBhw7w4BaSg6nznNTrzzOif+/dLn3/u\nXodSEV+ISWC6PFMlnEmy/DAiZt8+adOmaLt/fykQ8LY/cjEP1BuZmIU8zEMmgKWcQgzrw/gS12Y7\nkat9yNQ+ZGoncoXDV4UYNGy5zkiXupxxRqy9YoU7nUmVJSNiEs4kWX4YEfPxx7F2//7e9SOOa3mg\n3sjELORhHjIBLEUhxte4NtuJXO1DpvYhUzuRKxwUYuAbkyZNSmzD+ELMRx+505lUxRcXfFyISTiT\nZPlhRMzKlbG2IYUY1/JAvZGJWcjDPGQCWOirr6QjR6JtH9/nNmRcm+1ErvYhU/uQqZ3IFQ4KMbAP\nI2L8z28jYk4/3bt+AAAAeK1v31jbGQ0jMSIGAAAA+AaFGNind28pJyfaphDjT40bSy1aRNuMiAEA\nAPAPCjEAAADAcSjEwDdKS0sT2zAnJ/ZbeWvWxKZGMIlTXGjWTGra1Nu+pCDhTOrDKVCZPiLmxBOl\njh297cs3XM0D9UImZiEP85AJYCEKMb7HtdlO5GofMrUPmdqJXOGgEAPfuP322xPf2JmeLByWVq92\np0OpcAoxPh8Nk1QmyXLWidm9W4pE3DtOfezYIZWVRdsGTUvmah6oFzIxC3mYh0wACzHy2/e4NtuJ\nXO1DpvYhUzuRKxwUYuAbjzzySOIbn3lmrG3i9GTOKA+ffzhNKpNkOf82R45EF301Sfz6MAZNS+Zq\nHqgXMjELeZiHTAALMSLG97g224lc7UOm9iFTO5ErHBRi4Bu5ubmJb+yMiJHMK8TEFxacUR8+lVQm\nyYr/tzFtnZj4QoxBI2JczQP1QiZmIQ/zkAlgIQoxvse12U7kah8ytQ+Z2olc4aAQAzvFF2I++si7\nflSH6RoSE/9vY1ohZuXKWNugETEAAACeCIdjbQoxAAAAwHEoxMBOXbrEfpBv2ogYCjGJiR8R40zl\nZor4QoxBI2IAAAA8sXZtrB1fiOFeFwAAAJBEIQY+UlhYmPjGgUBsVMwXX5j1g3yLCjFJZZIsU0fE\nRCKxqclOPtmoDF3NA/VCJmYhD/OQCWCJLl1i7fj7NkbE+BLXZjuRq33I1D5kaidyhYNCDHzj0KFD\nyT3B1HVi4otCBv0Qvz6SziQZpo6IKSuL9cewaclczQP1QiZmIQ/zkAmQunvvvVdDhw5VixYt1K6O\n9Qd37dqlU045RdnZ2dq3b1+lv/voo480bNgwNWvWTF27dtX06dMT70Tr1rE2U5P5HtdmO5GrfcjU\nPmRqJ3KFg0IMfOPuu+9O7glnnhlrm7ROzM6dsXaHDt71Iw2SziQZpo6IcUbDSMZNS+ZqHqgXMjEL\neZiHTIDUlZeXa8yYMbrhhhvq3Hb8+PEaOHDgcY/v379fI0eOVPfu3RUKhTR9+nRNmzZNTz31VPId\nohDje1yb7USu9iFT+5CpncgVjkZedwBwjakjYnbsiLXbt/euH6YzdURM/Powho2IAQAADc/UqVMl\nSc8++2yt2z3++OPau3ev7rrrLr3++uuV/m7WrFkqLy9XUVGRGjVqpL59+2rZsmV68MEHdd111yXX\nIacQk5UltWyZ3HMBAAAASzEiBvaK/yE5I2L8J35EDIUYAACAelu1apX++7//W88995yyso7/CPje\ne+9p2LBhatQo9nt6I0eO1Jo1a7R3797kDuaMZD7hhGgxBgAAAACFGPjHjviRJIlo1Urq1i3aXrUq\nusi6CeILMT4fEZN0JsmIL1LF/5t5LX5qsn79vOtHNVzNA/VCJmYhD/OQCeC+o0eP6uqrr9YDDzyg\nLl26VLtNWVmZOnXqVOkx5/uysrLkDuiMiGFaMt/i2mwncrUPmdqHTO1ErnBQiIFvjBs3LvknOWt4\n7N8vbdqU3g7Vl0VTk9Urk0TFF2JM+U8rEokVYrp1M266DVfzQL2QiVnIwzxkAlTvzjvvVFZWVo1f\n2dnZWrt2bUL7+tWvfqV+/fpp7NixkqTIN7+cFEnjLymNHj1awWAw+rVzp4KShpSVac6cOZW2Ky4u\nVjAYPO75EyZMUFFRUaXHQqGQgsHgcT+8mDp1qgoLCys9tnHjRgWDQZWWllZ6fObMmZoyZUqlxw4d\nOqRgMKjFixdXenz27NkqKCg4rm9XXXVVgzuPs88+24rzsCWPdJ3HlVdeacV52JJHOs6j6n2UX8+j\nqoZ8HvGZ+vk84nEesc88fj8PR0M6j9mzZysYDCo/P1+5ubkKBoOaPHnycX1MVCCSzjtwS4RCIeXn\n56ukpER5eXledwffCIVCyedxxx3S/fdH26+9Jo0alf6OJeuCC6RFi6Ltgwel5s097U4q6pVJoiIR\nqVkz6cgR6cwzpeXL3TlOMjZulLp2jbYvv1x65RVv+1OFq3mgXsjELORhHjIxC/fA5ti5c6d21jEi\nuEePHpWmEnv22Wc1efJk7aoypeugQYO0Mm5q1UgkomPHjqlRo0b6z//8T02dOlU//elPtX//fr34\n4osV2y1cuFAXX3yxdu3apTZt2lTbh4rXzEsvKe9735MOHIiOSpekiy6S5s9P9tRhAK7NdiJX+5Cp\nfcjUTuRql1Q+MzWqexPADPW6aDkjYqToSAYTCjHOh+pmzXxdhJHqmUmiAoHoqJgtW8wZERO/Pkz8\na8sQ/MduHjIxC3mYh0yA6rVv317t0zRy+sUXX9RXX31V8f3777+v8ePHa/HixerRo4ckaciQIfrN\nb36jcDis7OxsSdHfSuzdu3eNRZhKDh6M/umsDyNVXu8PvsK12U7kah8ytQ+Z2olc4aAQA7tVLcSY\nwCkq+HxasoyIL8REItHijJfiCzH9+3vXDwAAgG9s2rRJu3bt0ueff65wOKzl34wi7tmzp1q0aKHu\n3btX2n779u2KRCLq06ePWrduLUm6+uqrdc8992jcuHG64447tGLFCj388MOaMWNGcp1x1oeRWCMG\nAAAAiEMhBnbr2zf6w/v4tT28FInERsTEr4GC6jnFqqNHK0914ZX415CBI2IAAEDD89vf/lZ//vOf\nK753futywYIFGjZsWLXPCVT55ZbWrVuruLhYEyZM0FlnnaUOHTpo2rRpGj9+fHKdoRADAAAAVCvL\n6w4Aiaq6MFNCmjeXnN8CXLVKOnYsvZ1K1oEDUnl5tG3BiJh6ZZKM+GJVHfOkZ4QzIiYrS+rTx9u+\nVMP1PJA0MjELeZiHTIDUPf300wqHw8d91VSEOf/88xUOhytGwzj69++vRYsW6dChQ9q4caNuu+22\nxDvRsWP0TwoxVuDabCdytQ+Z2odM7USucFCIgW+EQqH6PdEZuXDwYHSxdS/Fr3ViQSGm3pkkKr4Q\n4/U6MeFwtJgnST17Rtf4MYzreSBpZGIW8jAPmQCWcO5rWSPGClyb7USu9iFT+5CpncgVDgox8I1H\nH320fk80aZ2Y+FEdFkxNVu9MEmVSIeazz6TDh6NtQ6clcz0PJI1MzEIe5iETwDKMiLEC12Y7kat9\nyNQ+ZGoncoWDQgzsZ2ohxoIRMa4zqRDjTEsmSf37e9cPAAAAU1GIAQAAAKpFIQb2M6kQE19MsGBE\njOtMKsTEv3YoxAAAAByPQgwAAABQLQoxsF+fPtHF1SXvCzGMiEmOSYWY+BExhk5NBgAA4CkKMQAA\nAEC1KMTAN4LBYP2e2KyZ1KNHtL16tXTsWPo6lSzLCjH1ziRRJhZicnKk007zti81cD0PJI1MzEIe\n5iETwDK7d8fabdt61w+khGuzncjVPmRqHzK1E7nCQSEGvjFx4sT6P9kZwXDokLRhQ1r6Uy+WTU2W\nUiaJMKUQU14urVkTbffqJTVu7F1fauF6HkgamZiFPMxDJoAlvvwy+icjYqzAtdlO5GofMrUPmdqJ\nXOGgEAPfGDFiRP2fbMo6MZaNiEkpk0TE/xt5WYhZty5ajJGMXh/G9TyQNDIxC3mYh0wASxw5Ev3T\nKcTk5ERHpcOXuDbbiVztQ6b2IVM7kSscFGLQMPTrF2tTiPGP5s2jX5K3hZj49WEMLsQAAAB4olu3\n6J9OIeaEE6RAwLPuAAAAAKahEIOGwZQRMU4xISdHatXKu374iTM9mZeFmPjXTPxrCQAAADHOGjGs\nDwMAAABUQiEGvjFnzpz6P7lPHynrm5e7CYWYDh2s+C3BlDJJVHwhJhJx/3jV8cmImIzkgaSQiVnI\nwzxkAljk2DFp375om/VhfI1rs53I1T5kah8ytRO5wkEhBr4xe/bs+j+5aVPpW9+KtlevlsLh9HQq\nGZGItG1btN2xY+aP74KUMkmUU4gJh6W9e90/XnWc4l3TplKPHt70IQEZyQNJIROzkId5yASwyL59\nsV+aoRDja1yb7USu9iFT+5CpncgVDgox8I0XXnghtR04U0odPixt2JByf5K2b5909Gi0bUkhJuVM\nEuEUYiRvpic7fFhaty7a7ttXys7OfB8SlJE8kBQyMQt5mIdMAIs468NIFGJ8jmuzncjVPmRqHzK1\nE7nCQSEGDYfX68Q4o2EkawoxGeF1Iaa0NDrVhmT0tGQAAACectaHkVgjBgAAAKiCQgwaDpMKMSee\nmPnj+5XXhZj410r8awgAAABRBw4wIgYAAACoRSOvOwBkjNeFmO3bY21GxCTO60LMypWxNiNiAAAA\njrdpk9S8eex7CjEAAABAJYyIgW8UFBSktoPevWPre3g9IsaSQkzKmSSCQkzCMpIHkkImZiEP85AJ\nYBFGxFiDa7OdyNU+ZGofMrUTucJBIQa+MWLEiNR20KSJ1LNntF1aKoXDqXcqGRYWYlLOJBHxhZj4\nUUWZ4hTtWraUcnMzf/wkZCQPJIVMzEIe5iETwCIUYqzBtdlO5GofMrUPmdqJXOGgEAPfGDt2bOo7\ncaYnO3xYWr8+9f0lw8JCTFoyqUv8v1X8v2EmHDggffZZtH366VIgkNnjJykjeSApZGIW8jAPmQCW\naNRI2r079n3btt71BSnj2mwncrUPmdqHTO1ErnBQiEHD4uU6MfFFhBNPzOyx/axTp1h769bMHnv1\n6lg7/rUDAACAmNNOY0QMAAAAUAsKMWhYTCnEWDIiJiPatYut7ZPpQoyP1ocBAADwFIUYAAAAoEYU\nYuAbixcvTn0nXhZinPVNmjWTWrTI7LFdkpZM6pKVFStcUYipVUbyQFLIxCzkYR4yASxCIcYaXJvt\nRK72IVP7kKmdyBUOCjHwjfvvvz/1nfTqFZ3DWvJuREzHjqlf7UEAACAASURBVMavNZKotGSSCGd6\nsm3bpEgkM8eUKr9GfDA1WcbyQMLIxCzkYR4yASwSv0YMhRhf49psJ3K1D5nah0ztRK5wUIiBbzz/\n/POp76Rx42gxRpJKS6Wvv059n4kIh6UdO6Jti9aHSUsmiXAKMeXllT/ku80ZEdO2rXTSSZk7bj1l\nLA8kjEzMQh7mIRPAIs6ImGbNpCZNvO0LUsK12U7kah8ytQ+Z2olc4aAQA99o3rx5enbkjGw4elT6\n5JP07LMuu3ZJx45F2xatD5O2TOriFGKkzE1PtmePtGVLtN2/vy9GMWUsDySMTMxCHuYhE8AiTiGG\n0TC+x7XZTuRqHzK1D5naiVzhoBCDhid+rY/4NUDc5ExLJllViMkYLwoxPpuWDAAAwDOHD1OIAQAA\nAGpBIQYNT3whJlPrxGzfHmtTiEmeF4WY+CJd/GsGAAAAla1bJx04EG23bettXwAAAAADUYiBb0yZ\nMiU9O2JETNqkLZO6MCImIRnLAwkjE7OQh3nIBLBE+/axNiNifI9rs53I1T5kah8ytRO5wkEhBr6R\nm5ubnh1961uxBUQzVYgpK4u1LSrEpC2TusT/m3kxIsYnhZiM5YGEkYlZyMM8ZAJYIhyOtSnE+B7X\nZjuRq33I1D5kaidyhYNCDHxj0qRJ6dlRdrbUt2+0vW5ddE5rt335Zax90knuHy9D0pZJXbycmqxT\nJ+nEEzNzzBRlLA8kjEzMQh7mIRPAEvv3x9oUYnyPa7OdyNU+ZGofMrUTucJBIQYNkzM9WTgsrVnj\n/vEsLcRkTKYLMdu2xdb18cloGAAAAM9QiAEAAABqRSEGDVP8OjHxa4G4hUJMajp0kAKBaDsThZj4\n10T8awUAAADH27cv1m7b1rt+AAAAAIaiEAPfKC0tTd/O4n+4nol1YpxCTJMmVn04TWsmtWnUKFqM\nkTJfiPHRiJiM5YGEkYlZyMM8ZAJYghExVuHabCdytQ+Z2odM7USucFCIgW/cfvvt6dtZ/A/XM1mI\n6dw5NrLDAmnNpC7O9GRbt0qRiLvHWrEi1vbRiJiM5oGEkIlZyMM8ZAJYgkKMVbg224lc7UOm9iFT\nO5ErHBRi4BuPPPJI+naWmyu1bBltu12IOXpU2rEj2rZsWrK0ZlIXpxBz5Ii0d6+7x4p/TfioEJPR\nPJAQMjELeZiHTABLbN4ca1OI8T2uzXYiV/uQqX3I1E7kCgeFGPhGbm5u+naWlRUbFfPZZ9LBg+nb\nd1VlZbG2ZYWYtGZSl/h/u/g1d9ItEokVYnJzpdat3TtWmmU0DySETMxCHuYhE8AS8b8kY9E0vA0V\n12Y7kat9yNQ+ZGoncoWDQgwarviRDqtWuXec+KKBZYWYjOrSJdbessW942zcGFtw9owz3DsOAACA\nLQ4dirUZEQMAAAAch0IMGq5MrRNDISY9MlWI8em0ZAAAAJ6hEAMAAADUikIMfKOwsDC9O4z/ITuF\nmHpJeya1OfnkWPuLL9w7zooVsbbPRsRkNA8khEzMQh7mIRPAEuXlsXabNt71A2nBtdlO5GofMrUP\nmdqJXOGgEAPfOBT/m3bp4EUhJr6YYIG0Z1KbTI2I8XEhJqN5ICFkYhbyMA+ZAJZw3sutWkmNGnnb\nF6SMa7OdyNU+ZGofMrUTucIRiEQiEa87YZpQKKT8/HyVlJQoLy/P6+7ALZGI1KGDtGtX9If8mze7\nc5zrr5eeeiraXrZMGjjQnePYbtMmyVng7Hvfk156yZ3jDBggffSRlJ0tHTwoNWniznEAADAM98BI\nVsVrpn175e3cKZ16anS9PQAAAMBCqXxmYkQMGq5AILZOzJYt0u7d7hzH4qnJMqpz52hmkntTk5WX\nS6tXR9u9e1OEAQAASMT+/dE/WR8GAAAAqBaFGDRs8dOTffyxO8dwCjHZ2dKJJ7pzjIYgJ0fq2DHa\ndmtqsnXrYnOc+2xaMgAAAM8cPRr9k0IMAAAAUC0KMfCNHTt2pH+nmVgnxinEdOokZdn1lnMlk9o4\n68SUlUnhcPr3H78+TPxrwycyngfqRCZmIQ/zkAlgGQoxVuDabCdytQ+Z2odM7USucNj1U2FYbdy4\ncenfqdsjYsrLo0UDSTr55PTv32OuZFIb598wHJa2bUv//uMLMT4cEZPxPFAnMjELeZiHTADLtG3r\ndQ+QBlyb7USu9iFT+5CpncgVDgox8I1p06alf6fOGjGSOyNivvhCikSibWeheYu4kkltnBExkjvT\nk8W/BnxYiMl4HqgTmZiFPMxDJoBlGBFjBa7NdiJX+5CpfcjUTuQKB4UY+EZeXl76d9q+fXQReCk6\nGsIpmqTLxo2x9qmnpnffBnAlk9q4XYhxRsS0aCF165b+/bss43mgTmRiFvIwD5kAlqEQYwWuzXYi\nV/uQqX3I1E7kCgeFGMCZnmznTmnr1vTue9OmWNvCETEZFz+9W7oLMQcOSOvXR9unn27dej4AAACu\noxADAAAAVIufNALxU1DFrxGSDpaPiMm4+BExX3yR3n2vWhVr+3BaMgAAAM+xRgwAAABQLQox8I2i\noiJ3djxgQKz94Yfp3bflI2Jcy6Qm8YWYzZvTu+/4IpwzSspnMp4H6kQmZiEP85AJYBlGxFiBa7Od\nyNU+ZGofMrUTucJBIQa+EQqF3NnxwIGx9vLl6d235SNiXMukJvH/hvH/tukQX4jx6YiYjOeBOpGJ\nWcjDPGQCWIZCjBW4NtuJXO1DpvYhUzuRKxyBSCTdq5P7XygUUn5+vkpKSlhQqSE4elRq2VIqL4+u\nDbJyZfr2PXBgtLiTkyMdPsy6I+nQtq20Z4/UvXtsTZd0uPBCaeHCaHvrVqljx/TtGwAAH+AeGMmq\neM1IypOkZcsq/5ITAAAAYJFUPjPxU2GgcWOpX79ou7Q0WjBJF2fURpcuFGHSpWvX6J+bNknhcHr2\nGYnEpqU7+WSKMAAAAPXBGjEAAABAtfjJMCDFfnMvHJY+/jg9+zxwQNq9O9q2cH0Yz3TrFv3z66+l\nL75Izz4//zw6ykaSBg1Kzz4BAAAaGqYmAwAAAKpFIQaQpAEDYm1nZESqNm2KtS1cH8YzzogYSdqw\nIT37XLYs1mY6DQAAgOQFAlKrVl73AgAAADAShRj4RjAYdG/n8T98d6MQY+mIGFczqYkzIkaKjmRJ\nh/hCjI9HxHiSB2pFJmYhD/OQCWCRNm2YitcSXJvtRK72IVP7kKmdyBUO7pThGxMnTnRv5/EjYpYv\nT88+nfVhJGtHxLiaSU3iCzFujIjxcSHGkzxQKzIxC3mYh0wAizAtmTW4NtuJXO1DpvYhUzuRKxwU\nYuAbI0aMcG/n7drFiiUffigdO5b6PhtAIcbVTGri5tRkbdpI3bunZ58e8CQP1IpMzEIe5iETwCJt\n23rdA6QJ12Y7kat9yNQ+ZGoncoWDQgzgcKYn278/PT/g//TTWLtHj9T3h6h0T022fbu0ZUu0PXBg\ndH5zAAAAJIcRMQAAAECNKMQAjvh1YtIxPVl8IcbHoyyM07ZtbCHYdBTM4tcEin8NAAAAIHEUYgAA\nAIAaUYiBb8yZM8fdA8SvExMKpb4/pxDTpYvUrFnq+zOQ65lUJxCITU+2cWPq08hZsj6M5FEeqBWZ\nmIU8zEMmgEUoxFiDa7OdyNU+ZGofMrUTucJBIQa+MXv2bHcPkJ8fa3/wQWr72rdP2rEj2v7Wt1Lb\nl8Fcz6QmzvRkR49KZWWp7cuiQoxneaBGZGIW8jAPmQAWYY0Ya3BtthO52odM7UOmdiJXOCjEwDde\neOEFdw/QtavUoUO0vXSpFInUf1/r18faFq8P43omNYmf6i1+Crj6cKYma9JE6ts3tX15zLM8UCMy\nMQt5mIdMAIswIsYaXJvtRK72IVP7kKmdyBUOCjGAIxCQzj472t65M7X1R+KLAxaPiPHMaafF2uvW\n1X8/+/ZJa9ZE2/37Szk5qfULAACgoaIQAwAAANTIV4WY3bt368c//rHatGmjtm3b6rrrrtPBgwcT\nfv4vfvELZWVl6eGHH3axl/A1pxAjRUfF1BeFGHf16hVrr11b//188EFs5NPgwan1CQAAoCGjEAMA\nAADUyFeFmKuvvlqrV6/W/Pnz9eqrr+qtt97Sz3/+84Se+9JLL2nJkiXq0qWLy72Er6WrEBM/NRmF\nmPRLVyHm/fdjbQoxAAAA9ccaMQAAAECNfFOIKS0t1bx581RUVKSzzjpL3/72tzVz5kw9//zzKqtj\nse4tW7bo5ptv1l//+lc1atQoQz1GuhUUFLh/kLPOirVTKcQ4011JVhdiMpJJdXJzpcaNo+1UCjFL\nlsTa55yTWp8M4FkeqBGZmIU8zEMmgEUYEWMNrs12Ilf7kKl9yNRO5AqHbwox7777rtq2batBgwZV\nPDZ8+HAFAgEtif9hahWRSETXXnutbr/9dvX1+ULcDd2IESPcP0jnztIpp0TbJSVSOFy//axeHf3z\nxBOl9u3T0zcDZSST6mRnSz17RtuffFK/nCKRWCGmTRupd+/09c8jnuWBGpGJWcjDPGQCWIRCjDW4\nNtuJXO1DpvYhUzuRKxy+KcSUlZWpY8eOlR7Lzs5Wu3btah0R8/vf/16NGzfWxIkT3e4iXDZ27NjM\nHMiZnuzAgcojWxK1e7e0dWu0bXnxL2OZVMeZnuzIEWnTpuSfv2WL9OWX0fbZZ0tZvrkc1sjTPFAt\nMjELeZiHTACLUIixBtdmO5GrfcjUPmRqJ3KFw/OfPN55553Kysqq8Ss7O1tr6zn1UElJiR5++GE9\n/fTTae41rJbqOjHOaBjJ+kKMp047LdauzzUifiQd68MAAACkhkIMAAAAUCPPCzG33XabSktLa/xa\nvXq1evTooc6dO2vbtm2VnhsOh7Vr1y517ty52n0vXrxY27dv16mnnqqcnBzl5OTo888/16233qoe\nPXrU2bfRo0crGAxW+hoyZIjmzJlTabvi4mIFg8Hjnj9hwgQVFRVVeiwUCikYDGrHjh2VHp86d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pXH1HRUWhsbERhYWFmDNnDgoLC/Hqq6/i4sWLmDdvHgCgq6sL6enpOHDg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\nkAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d638860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from gprMax.waveforms import Waveform\n",
    "from tools.plot_source_wave import check_timewindow, mpl_plot\n",
    "\n",
    "w = Waveform()\n",
    "w.type = 'ricker'\n",
    "w.amp = 1\n",
    "w.freq = 1.5e9\n",
    "timewindow = 3e-9\n",
    "dt = 1.926e-12\n",
    "\n",
    "timewindow, iterations = check_timewindow(timewindow, dt)\n",
    "plt = mpl_plot(w, timewindow, dt, iterations, fft=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By examining the spectrum of a Ricker waveform it is evident much higher frequencies are present, i.e. at a level -40dB from the centre frequency, frequencies 2-3 times as high are present. In this case the highest significant frequency present in the model is likely to be around 4 GHz. To calculate the wavelength at 4 GHz in the half-space (which has the lowest velocity) use:\n",
    "\n",
    "$$\\lambda = \\frac{c}{f \\sqrt{\\epsilon_r}}$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum wavelength: 0.0305974 m\n",
      "Maximum spatial resolution: 0.00305974 m\n"
     ]
    }
   ],
   "source": [
    "from math import sqrt\n",
    "\n",
    "# Speed of light in vacuum (m/s)\n",
    "c = 299792458\n",
    "\n",
    "# Highest relative permittivity present in model\n",
    "er = 6\n",
    "\n",
    "# Maximum frequency present in model\n",
    "fmax = 4e9\n",
    "\n",
    "# Minimum wavelength\n",
    "wmin = c / (fmax * sqrt(er))\n",
    "\n",
    "# Maximum spatial resolution\n",
    "dmin = wmin / 10\n",
    "\n",
    "print('Minimum wavelength: {:g} m'.format(wmin))\n",
    "print('Maximum spatial resolution: {:g} m'.format(dmin))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This would give a minimum spatial resolution of 3 mm. However, the diameter of the cylinder is 20 mm so would be resolved to 7 cells. Therefore a better choice would be 2 mm which resolves the diameter of the rebar to 10 cells.\n",
    "\n",
    "    #dx_dy_dz: 0.002 0.002 0.002\n",
    "\n",
    "The domain size should be enough to enclose the volume of interest, plus allow 10 cells (if using the default value) for the PML absorbing boundary conditions and approximately another 10 cells of between the PML and any objects of interest. In this case the plan is to take a B-scan of the scenario (in the next example) so the domain should be large enough to do that. Although this is a 2D model one cell must be specified in the infinite direction (in this case the z direction) of the domain.\n",
    "\n",
    "    #domain: 0.240 0.210 0.002\n",
    "\n",
    "### 4. Choose a time window\n",
    "\n",
    "It is desired to see the reflection from the cylinder, therefore the time window must be long enough to allow the electromagnetic waves to propagate from the source through the half-space to the cylinder and be reflected back to the receiver."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum time window: 1.47071e-09 s\n"
     ]
    }
   ],
   "source": [
    "d = 0.090\n",
    "t = (2 * d) / (c / sqrt(6))\n",
    "print('Minimum time window: {:g} s'.format(t))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the minimum time required, but the source waveform has a width of 1.2 ns, to allow for the entire source waveform to be reflected back to the receiver an initial time window of 3 ns will be tested.\n",
    "\n",
    "    #time_window: 3e-9\n",
    "\n",
    "The time step required for the model is automatically calculated using the CFL condition (for this case in 2D).\n",
    "\n",
    "### 5. Create the objects\n",
    "\n",
    "Now physical objects can be created for the half-space and the cylinder. First the ``#box`` command will be used to create the half-space and then the ``#cylinder`` command will be given which will overwrite the properties of the half-space with those of the cylinder at the location of the cylinder.\n",
    "\n",
    "    #box: 0 0 0 0.240 0.170 0.002 half_space\n",
    "    #cylinder: 0.120 0.080 0 0.120 0.080 0.002 0.010 pec"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run the model\n",
    "\n",
    "You can now run the model using:\n",
    "    \n",
    "    python -m gprMax user_models/cylinder_Ascan_2D.in\n",
    "\n",
    "**Tip**: You can use the ``--geometry-only`` command line argument to build a model and produce any geometry views but not run the simulation. This option is useful for checking the geometry of the model is correct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- Model 1 of 1, input file: /Users/cwarren/Documents/Git-projects/gprMax/user_models/cylinder_Ascan_2D.in -------------------------------------------------------------------------------------------\n",
      "\n",
      "Constants/variables used/available for Python scripting: {c: 299792458.0, current_model_run: 1, e0: 8.854187817620389e-12, input_directory: /Users/cwarren/Documents/Git-projects/gprMax/user_models, m0: 1.2566370614359173e-06, number_model_runs: 1, z0: 376.73031346177066}\n",
      "\n",
      "Model title: A-scan from a metal cylinder buried in a dielectric half-space\n",
      "Number of threads: 4\n",
      "Spatial discretisation: 0.002 x 0.002 x 0.002m\n",
      "Domain size: 0.24 x 0.21 x 0.002m (120 x 105 x 1 = 12600 cells)\n",
      "Memory (RAM) required: ~71.8MB (32GiB detected)\n",
      "Time step (at 2D CFL limit): 4.71731e-12 secs\n",
      "Time window: 3e-09 secs (637 iterations)\n",
      "\n",
      "Waveform my_ricker of type ricker with maximum amplitude scaling 1, frequency 1.5e+09Hz created.\n",
      "Hertzian dipole with polarity z at 0.1m, 0.17m, 0m, using waveform my_ricker created.\n",
      "Receiver at 0.14m, 0.17m, 0m with output component(s) Ex, Ey, Ez, Hx, Hy, Hz, Ix, Iy, Iz created.\n",
      "Material half_space with epsr=6, sig=0 S/m; mur=1, sig*=0 S/m created.\n",
      "Geometry view from 0m, 0m, 0m, to 0.24m, 0.21m, 0.002m, discretisation 0.002m, 0.002m, 0.002m, with filename base cylinder_half_space created.\n",
      "Processing geometry related cmds:   0%|                                                                                                                                        | 0/2 [00:00<?, ?cmds/s]Box from 0m, 0m, 0m, to 0.24m, 0.17m, 0.002m of material(s) half_space created, dielectric smoothing is on.\n",
      "Cylinder with face centres 0.12m, 0.08m, 0m and 0.12m, 0.08m, 0.002m, with radius 0.01m, of material(s) pec created, dielectric smoothing is off.\n",
      "Processing geometry related cmds: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 287.35cmds/s]\n",
      "\n",
      "PML boundaries: xminus: 10, yminus: 10, zminus: 0, xplus: 10, yplus: 10, zplus: 0 cells\n",
      "Building PML boundaries: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 1460.92it/s]\n",
      "\n",
      "Building main grid: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 362.26it/s]\n",
      "\n",
      "Materials:\n",
      "    |                                             |                     |       | sigma |      | sigma* | Dielectric \n",
      " ID | Name                                        | Type                | eps_r | [S/m] | mu_r | [S/m]  | smoothable \n",
      "----+---------------------------------------------+---------------------+-------+-------+------+--------+------------\n",
      "  0 | pec                                         | builtin             | 1     | inf   | 1    | 0      | False      \n",
      "  1 | free_space                                  | builtin             | 1     | 0     | 1    | 0      | True       \n",
      "  2 | half_space                                  |                     | 6     | 0     | 1    | 0      | True       \n",
      "  3 | free_space+free_space+half_space+half_space | dielectric-smoothed | 3.5   | 0     | 1    | 0      | True       \n",
      "\n",
      "Numerical dispersion analysis: largest physical phase-velocity error is -0.56% in material 'half_space' with wavelength sampled by 12 cells (maximum significant frequency 4.9918e+09Hz)\n",
      "\n",
      "Writing geometry view file 1 of 1, cylinder_half_space.vti: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 75.6K/75.6K [00:00<00:00, 1.64Mbyte/s]\n",
      "\n",
      "Output file: /Users/cwarren/Documents/Git-projects/gprMax/user_models/cylinder_Ascan_2D.out\n",
      "\n",
      "Running simulation, model 1 of 1: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 637/637 [00:00<00:00, 926.73it/s]\n",
      "Memory (RAM) used: ~102MB\n",
      "\n",
      "=== Simulation completed in [HH:MM:SS]: 0:00:00 =======================================================================================================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from gprMax.gprMax import api\n",
    "\n",
    "filename = os.path.join(os.pardir, os.pardir, 'user_models', 'cylinder_Ascan_2D.in')\n",
    "api(filename, n=1, geometry_only=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## View the results\n",
    "\n",
    "### Plot the A-scan\n",
    "\n",
    "You should have produced an output file ``cylinder_Ascan_2D.out``. You can view the results using:\n",
    "\n",
    "    python -m tools.plot_Ascan user_models/cylinder_Ascan_2D.out\n",
    "    \n",
    "You can use the following code to experiment with plotting different field/current components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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nNuYnNuZHSmvbti02btyIO3fuYPTo0dizZw8aNWqkdFlUAPF4Z94kSdLdT6eI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Ro5cqQOHz6s2bNnS5KeeOIJTZkyRc8884z69OmjxMRELVy4UEuXLpUkBQQE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jaoYOtQd1JPuWVgzqoLilp0sDB0rZb8P1j39IkydLVate2r5C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      "text/plain": [
       "<matplotlib.figure.Figure at 0x110d7c780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import os\n",
    "from gprMax.receivers import Rx\n",
    "from tools.plot_Ascan import mpl_plot\n",
    "\n",
    "filename = os.path.join(os.pardir, os.pardir, 'user_models', 'cylinder_Ascan_2D.out')\n",
    "outputs = Rx.defaultoutputs\n",
    "#outputs = ['Ez']\n",
    "plt = mpl_plot(filename, outputs, fft=False)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}