From 76988249310aa096c7dc3bd0e6e19df11877256d Mon Sep 17 00:00:00 2001 From: wassname Date: Tue, 19 Jul 2016 12:19:32 +0800 Subject: [PATCH] Updated notebooks to work with latest version --- notebooks/SeismicRefraction_model1.ipynb | 12911 +-------------------- notebooks/SeismicRefraction_model2.ipynb | 8831 ++------------ notebooks/SeismicRefraction_model3.ipynb | 11269 ++---------------- 3 files changed, 2094 insertions(+), 30917 deletions(-) diff --git a/notebooks/SeismicRefraction_model1.ipynb b/notebooks/SeismicRefraction_model1.ipynb index c09d6f5..ac78a8c 100644 --- a/notebooks/SeismicRefraction_model1.ipynb +++ b/notebooks/SeismicRefraction_model1.ipynb @@ -1,12283 +1,644 @@ { - "metadata": { - "name": "", - "signature": "sha256:cf155091dd978147c5c682fc380334298490b630d77ee5e5adbc983a869013ac" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ + "cells": [ { - "cells": [ + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# add simpegseisc directory to path\n", + "import os\n", + "if '..' not in os.sys.path:\n", + " os.sys.path.append('..')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ { - "cell_type": "code", - "collapsed": false, - "input": [ - "from simpegseis import *\n", - "%pylab inline\n", - "from SimPEG.Utils import mkvc" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Populating the interactive namespace from numpy and matplotlib\n" - ] - } - ], - "prompt_number": 1 + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n" + ] }, { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step1: set time\n", - "dt = 6e-5\n", - "ntime = 2000\n", - "time = np.arange(ntime)*dt\n", - "# Step4: set mesh\n", - "cs = 0.20\n", - "cs = 0.20\n", - "hx = np.ones(500.)*cs\n", - "hy = np.ones(250.)*cs\n", - "mesh = Mesh.TensorMesh([hx, hy], 'CC')\n", - "# Step2: set Tx and Rx\n", - "tlag = 0.008\n", - "fmain = 100.\n", - "options={'tlag':1./fmain, 'fmain':fmain} # You need to set waveform to set Tx\n", - "nrx = 180\n", - "xtemp_rx = np.arange(nrx)*0.5+0.5+mesh.vectorCCx.min()\n", - "xy_rx = np.c_[xtemp_rx, np.ones(nrx)*mesh.vectorCCy.max()]\n", - "rx = AcousticRx(xy_rx)\n", - "\n", - "tx = AcousticTx(np.r_[mesh.vectorCCx.min(), mesh.vectorCCy.max()], time, [rx], **options)\n", - "# Step3: set survey (pass txlist)\n", - "survey = SurveyAcoustic([tx])\n", - "wave = tx.RickerWavelet()\n", - "# Step5: set problem (pass mesh) and pair with survey\n", - "prob = AcousticProblemPML(mesh)\n", - "prob.pair(survey)\n", - "# Step6: set boundary\n", - "prob.setPMLBC(20, dt, bcflag='left', const=1.)\n", - "prob.storefield = True\n", - "# Step7: set velocity model and check stability\n", - "v = np.ones(mesh.nC)*400.\n", - "v[mesh.gridCC[:,1]> Stability information\n", - " dt: 6.00e-05 s\n", - " Optimal dt: 6.67e-05 s\n", - " Cell per wavelength (G): 2.00e+01\n", - " Optimal G: 1.60e+01\n" - ] - } - ], - "prompt_number": 73 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print time.max()\n", - "mesh.plotImage(v)\n", - "plt.plot(rx.locs[:,0], rx.locs[:,1], 'r.')" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.11994\n" - ] - }, - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 74, - "text": [ - "[]" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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- "text": [ - "" - ] - } - ], - "prompt_number": 75 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step8: run forward\n", - "U = prob.fields(v)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - ">> Start Computing Acoustic Wave\n", - ">> dt: 6.00e-05 s\n", - ">> Optimal dt: 6.67e-05 s\n", - ">> Main frequency, fmain: 1.00e+02 Hz\n", - ">> Cell per wavelength (G): 2.00e+01\n", - " Tx at ( -49.90, -49.90): 1/ 1\n", - ">>Elapsed time: 8.73e+01 s" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "\n" - ] - } - ], - "prompt_number": 76 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step9: project data\n", - "data = survey.projectFields(U)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 85 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# from IPython.display import set_matplotlib_formats\n", - "# set_matplotlib_formats('png')\n", - "# matplotlib.rcParams['savefig.dpi'] = 200 # Change this to adjust figure size" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 86 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "fig = plt.figure()\n", - "kwargs = {\n", - " 'skipt': 2,\n", - " 'scale': 0.05,\n", - " 'lwidth': 0.1,\n", - " 'sampr': dt,\n", - " 'dx':0.5\n", - "}\n", - "extent = [-3, 90, 0.12, 0]\n", - "fig, ax1 = plt.subplots(1,1, figsize = (8,5))\n", - "ax1.invert_yaxis()\n", - "ax1.axis(extent)\n", - "UtilsSeis.wiggle(data[0], **kwargs)\n", - "ax1.plot(UtilsSeis.PrimaryWave(7e-3, time, 400.), time, 'k-', lw=2)\n", - "ax1.plot(UtilsSeis.ReflectedWave(7e-3, time, 400., 5.), time, 'b-', lw=2)\n", - "ax1.plot(UtilsSeis.PrimaryWave(0.032, time, 1000.), time, 'r-', lw=2)\n", - "ax1.plot(UtilsSeis.PrimaryWave(0.048, time, 1500.), time, 'g-', lw=2)\n", - "\n", - "ax1.set_xlabel('Offset (m)')\n", - "ax1.set_ylabel('Time (s)')\n", - "ax1.set_title('Common Shot Gather')\n", - "fig.tight_layout()\n", - "fig.savefig(\"model1_data_with_lines\", dpi = 200)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "text": [ - "" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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CT9VwVb2OmsYa723Pnj2tkBPHw+GFnNDQ0JrOAiB2whMnTnDixAneffddBgwYwOrVq9Fo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\n5MhlMrEVclixq25cR8TZy2c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1izfeeMPk6k1ZateuDYjONY8fP877779P+/bt6dixI++9\n9x7p6emGN3ToAN9+i+rGDXSzZpHvXZfeHGITM7miKmZ5m7G8MX06devWNac6yMnJ4ccff6RNmzaV\nxps4cSJXrlwxK12wnRKunJehbVVma2Aqb+ZSXV0qa8S1FDmcznOWI+RySNcSn3H2bufqIocxwt5Y\n0kZytHi8A2iBeEx8YUnY8pJPKVNLrv8DOCGRxj7ErSurotFoSEpKMtAN0Gg0JCQk6L+rVCoCAgKM\nDO6ZapTs7GySkpKIiIgweQKrLH369GHTpk00adJE8vrJkyd59dVXad++PXv27AHQb2VptVriVSqS\nZszAM1FL7nvLSPSJorFwnXYrp5MbGMZjp88aaXpL4evry8KFC/XCVkWkpaXx0EMPcevWLX1YTQ0k\nzqqT42gDs6WoVCrZ+q6SQ7pyRg56HXJALsKIJX3QVdvOpS0eu7m5kZOTYxAWFBSk19kBqFOnDvn5\n+RQUFOjDfH19ycjIMEovLS2NsLCwCp/p7u7OmDFjWLt2Ldu3b+fhhx+u1LheXFwcc+bM4erVq+Tn\n56PRaNBoNISGhhIcHIyqbl28Zk4lKOMymyf+yEF645WfycjLF7kOrAE6VJCfpk2bEhsby6ZNm8jK\nyqowLz4+Ply/fp3Bgwfr49aE7Rw5I5cB0J44S5nlWg5LBSq5lsMS7C1EyllodYb2rClcWsipU6cO\ny5cvNwjz8vIy2h7SaDQkJibqv/v6+nL79m2j9Cpyg5Cfn094eDhHjhxh/fr1jBs3joKCArRa7V3j\ngBWwf/9+2rdvz9ChQ3nppZfYuHEjmZmZBnFU7m6MXD2K4n0HGOz/Bz/wCGrUTEA8pnaoVi1ea9fO\n4LhaUVERJ06c4KOPPmL06NGEhIQwePBgPvvsM9LS0ozyMWrUKIKCgjhx4gSjR4+moKCA4uJis/16\nARQWFlrFZURZpTS5I+cB1BKstbRc3bZztEHfWdpfDrZWnKUupbBG2UylIYe2qwlcWsgBjPVdgMuX\nLxuFqdVqg84THBxsIPiA6c6VnJxMeno6/fr1o1OnTvpwf39/NBqN5IBdemKrLDk5ORw6dIiPP/6Y\nMWPGoNFoGD58OOvWrTOwTNyrVxHzfo1gZvi7NOEqi9XTya9Vh575+Sw4c4bziOalpaz+3Llzhx07\ndvDCCy/QsaOhl43evXuzePFixowZg7u7O7t27WLy5Mkmy52amiqpk5STk4O3t7fkPY6ELX9dO4Ph\nQFM48yQlF+ype+WKOGIflkObOpvFY4dAysWBlOATFBRkIPx4enqi0+kMbM0IgmDU+VNSUqhVqxbB\nwcGSz09ISNBvV6lUKvr168eSJUvMsktz584dtm7dyrhx4xgzZoxeVyc1NZWOHYP5++9GPPRMI2bo\nFtMwP45t/T+gMCSUlohKUTeBdwBTG02pqamAeBT9xRdfZNeuXQQEBODv768v95o1a1i0aJHk/Xl5\neSYNKDqz7yo5D4By0U+pad9V1nB4KIdJw94odnIcF7nq5DiyxWOHQGoSlqp0Dw8PYmJiDMJCQ0MN\nFHA1Gg1ardYgTn5+vqSV5VICAgIIDQ1l+vTp/PXXX0RHRzNt2jSzTmWVRa1WU1BQgEajISgoCJVK\nhacnfPEFfPop3HHzY1j0ywxufp6xePEnEAi8hSjsrER0MFZK586dmTt3Ln379uX333/n448/Nrn6\n8sknn/Dhhx+anVdTE4mchQMpHE1R1hoop6sU7IUioNxFzic25Y7LCzmlhvDKYmr1Qcort0531+uE\nWq1GpVKZtCRcFkEQ0Gq1JCUlsW3bNj7++GOCg4P1qzHlT3RVxqZNm4iKiiIsLIzBgwfzxhtvsHnz\nZm7fzuT55+G33yAgAH7b58cPnKAbTekDbAY8gKeBc8DeWrX4aNAgFsyfz8SJE9m7dy89evSo9Pmv\nvPIKn376qVl5teQIaEXIVSdHGXgqptQQn1S4I2HvVR85HCGvrl6HrY6Q2/JourMgB52cmvhx4fJC\njpRAU6eOtD8oqVNQZU9igbi6Ex8fb5B+dna2QZzc3Fxu3LhBcHAwYWFheHp6olKpCAoKIjAwEJ1O\nZ7IzmBLAStFqtezYsYMFCxYwatQoNBoNw4YNIyNjM3/+Cc2a5QIt8fA4SdNJ36HavJnk/fvZ17Yt\nd4D++fnM2LGD4IEDWXnPPSx57z1JJWsp/v3vf7Nz5079d2sNGs7wq9vZT8fIOb/O0H8UKscZVuxs\nKQw7Wl1YC5cXcvr06WMUZkqQkPIsbnTCSaUyEIb8/f31ui2lpKSk0LhxY8kTRlqtlvDwcL2dnYCA\nAP75z3/yySefcO7cObNWVcpy584dtm3bxqhRozh9+mf279cxahQUFvqwZs14kpJGEHTPPazv25dw\n4HUgAWgP/Cc2lrGvvcbKqCiu/flnpc8SBIGRI0dy9uxZfV1Ul+LiYpMnseSqk2MKOQsC5mKt1Qu5\nthMoCuoAACAASURBVJ1c20guQrI99TrkPCnLtZ9UhFx1cixtZ0vjm3/u10mROsUkJcwAksbyyp5q\nKsXf35+0tDS9Xk1ISAgJCQmEhIQA0itCpURERHDq1CkKCgpYvXo1I0eOrFCnxxxCQ0MZPnw4UVFR\nBAbWZuNGmD0bFi6EZ56BK1dAEFSkI1ps/BAYC7yEaKHxpdRUivv0gaeeghdfrPBZeXl59OzZkyNH\njlCvXj2L8inVeTMyMvDz87MonZpGzoOzHHDFrQWlT1gPuSjPK9gfOVo8tjm/XP6F3EJjXRlz+VNi\nhcKUzRcpgUhKYPH29iYu7q4vUk9PT4qLiw30d6Rs4yQmJpKYmEiLFi0YPnw4Y8eOJSsri/j4eP2n\nrCsKc4mPj+eLL76gffv2NGjQgD59epOe/i8ef3wf7u4C778PO3c+Temh8gJEb6gPNmjA4iFDyOrT\nB7f8fPj8c2jZknHr1tG33DOGDx+ur5/s7Gw6duzId999Z3Fey5Ofny8pXAolDjoV7DvhW2spvLpt\nJ4cj0nIWtGw1YctBr8MVscZ756pt5/ArOUO/H4qXuxf3R93P0OZDGdp8KKF1Q82+X0pIMbU9IhVu\nSiAqb0hPo9EQHx+vt1Z8/fp1GjdurL9+/fp1NBqNgSDl6emJRiM6ZsjOzpa0sgzGekAVkZ6ezqFD\nh0o6/BfAfajVP3HtWkdUqn106TKXHj0a0blzZ8aNG3c3P+fOwccfw3//S8vLl9kHHFep2Ne5M/+Y\nO5cBAwcabPMVFBQwa9Ystm/fztdff21QVmf/JV/dvNl6+dZeyPl0VU3kw5FwZjtN1kDOq0lKHzbE\n4YWcziGdOZ5wnK2Xt7L1suisvFNIJ4Y2EwWezqGdUaukF6x0Op1FOi6WCETlV2pUKpVB5wsJCUGr\n1aLRaMjMzKRBgwaSK0WlJCUlERUVRZ06dejSpQs9evSga9eudO7cmaysLHr27Gl2OQzZg07XA5Vq\nO4LQlaSkLTz7LDRtmk9sbCyNGjUSy9imDaxciTBvHkcmTaLd/v10zsmh87Fj4p7XtGn4CgLl15mi\no6Pp1KkTGzduZMCAAfq6kELq5azoha1pvQ5bTuKONhlYaujQnr6rpFAmgqohV70OUzjae2RLevfu\nXdNZUIwBVoVjzxwjbkYcK4auYFjzYXi5e3Ei4QT/+f0/dFvZDc1HGiZvmczPF3/mTsEdg3ul9GnA\n8Fh4ZZjSr5EaRMuexKpduzZeXl5kZGRQt25dSQOEpaSnpyMIAseOHWPu3Lns2rWLZcuWMXHiRNq0\naWORS4XyNGrUiAkTOrNtWyrdu0NMDPTqBb//XougoCDGjh1LcXExWVlZxMXFEV9cTNdffsEnJQVW\nrICWLSE2FmbO5O/8fD4CGpV7RkZGBmPHjtUfrbfE5oMzDVLOVBZHQg6/up19e8wWuFp5XRXFGKAZ\naHw1TOk8hS3jtpA6K5Vfxv/Cv7r8izDfMBKzE/nqr68Y+cNIAt4LYNB3g/jsz8+IyRAN+0ntU1oi\n/JgSiKQarvxxc39/f7KyslCr1dStW1fyFFZcXByenp40adKELl260L17d9RqteiFvERPp3y6lnDj\nxg3++9//MmRIF2Jjm9Kw4e/cvg2DBulYtiydjRs38tVXX1FcXExYWBgajUZc2fHygilTxG2sbdvg\nvvuoC8wA/gZ+ALqXK8s333wDQN26dSW33uyt11FdHHEQtudWmi19V9kKR2xTW6DYyZEX1iifq+rk\nOIWQUxYvDy8GNxvMZ0M+4+aLNzn57Enm3juX7pruFBQX8L+//8cL21+g0ZJG9FvXj3WX13E49jDF\nuruCjSmHmVJG/ixZ9Snv8Rygfv36pKWl6U8ila7oJCcnU7t2bcLCwvDx8TG4x8/PT++FPDQ0VH/c\nvCwBAQEEBASYnTeA+PirJCX1Bz6guFjN66+Ho1LNIj4+wfRJKbUahgyB3bvp4enJt4AOeAT4AzgA\nPIzY0aZMmcL06dPx9vZm48aNZuXJWfRT5IIc6sfZJyRbIId2kzvOYCfHUlztPagKTifklEWlUvGP\n4H8wu+9s/pj8BwkvJ/D18K95uNXD1PGsw/nU82xTb6PX170I+TCESZsnsfH8RjLzMiXTkxJ+TK36\nSL1cUkJSnTp1uHLlCiAKJoWFhWRmZpKfn2/SKGF51Go1Xbt2ZcqUKXz99dccP36cv//+m/vuu8+s\n+8vlHJiJuCYDgvAuixdHkpNT+amuU2o1TyBuV31cuzZ3PD3pDWwCrgD/Br5aupTRo0fzySefGLjE\nAIy+g2PaWqkuch6YrXW6qqZ9V9kbe+fXme3kyKHt5ayYbSqNquttWo+aaDuHVzy2hKA6QTzZ8Ume\n7Pgk+UX5bDm9hU1nNnEk4wg3Mm6w+tRqVp9ajbvKnf7a/gxtNpRhLYYRVT8KkBZyTK36SK3wmGrg\nGzdu0L27uLnTsGFDEhIS8PX15ebNm0REREimk5CQoE8vODiY3bt3k5aWRnBwsEk7P5bg4/MlTZs2\n5Ny5WWRmTmLSJPj2W5A4za0nJCSE3r17M2jQIIYPH44PsO/JJwnbuJEmwFJEh6DLf/6Z815efPjh\nh7z33nv6+y9cuIBKpTLwfl63bl1u375tlq2gigwHOhrO8AtNLqerpHB2B51yEAQcDaXOagZb17tT\nr+RURC33WtwbcS/9cvpxbdo1zv7rLIsGLOKeiHvQCTp+u/YbL+58kSZLm9D609bM+nUWJ9NOUqQz\nXI0xtZJjKlyKrKwsg+8hISFkZmYSFBTE9evX9Z1Ap9Nx8+ZN4uPjCQ4O1h9HDw0NpW7dukRGRnL7\n9m29/6v8/HwLa+Uud+7c4fLluYSFTcHDI4cNG6Bbt1RiYu6ucul0Ov2z4uPjuXDhAmvWrGH8+PHi\nKlSdOpzu25fmwCjErav6wP8B53Jz6bR4MUm7dunTU6vVRrZ16taty7Vr14zyJ2UnJz8/3yoCnoLl\nWHq6yp6+q1xxG6O6mGoLV9XrcAacpe0sfXddVsgpRaVSoVKpaNOwDa/e8yr7n9zPui7rWDNqDY+0\neQTfWr5cSLnA+4fe55Xzr9Dw/YY89uNjrDu7jvTcdJMVbomujtRqUEJCArVq1SIyMpLr169TVFRE\nbGws4eHhaDQak6e6GjRooBd+pE5dWWI9WfSxtYrCwp5APGfOBNC4cSzduz/MwoULiYuLIzQ0VC9o\nmRIwdIiOQPsgKiP/gNjxxhYW0vChh+Dee0XlZZ2OH3/80ahOf/rpJ7Pym5eXpwg5NsYRhQM55FnO\nqz72xFnqwd4n9hR/VCJV6T8utV0lhZTtgAY+Dejfvj8T2k+gsLiQAzcPsPXyVtafXI82T8vaM2tZ\ne2Ytbio3WtdpzXm/8wxtPpQWgS30aVhyHFoqPCEhgbi4OMLCwoiKiiImJob8/HyLGtnf35/77ruP\nf/zjH7Rv3562bdsiCALdunUzOw2R00BP4H8IQluOHl3M0aODAHjttdcsSuko8IyvL6/evs004Fk3\nN3yioyE6miEhIUQnJHDqjz/oUGb/eMeOHTz22GM0b95cH1ZQUGCk11FQUCCpIO0sA6uj4ez6VK42\nwYBiJ8cRMNUvHa3trIVLCzlFRUWSJ5DKrnZ4uHlwb+N7ubfxvTzi9wj+zfzZemkr265sY3/Mfs5k\nneGVX1/hlV9foZl/M73VZbW78UqLh4eHZD5M+c/SarWEhYUBEBkZyeXLl7l69SpRUVGSL+/t27e5\nffu2fnVq4cKFBAQEGMQ9efJk5RUjyU3gHmAL0Bsvr2P07GnZANK+fXtmzpzJgAEDCA8P5+XiYhao\nVNx6913cPvkE39hYlgMFgwbBtGnwwgsQFERhYSGrV69m/vz5+rSuXLmCm5sb4eHh+jA3NzeKioqM\n6lMOdlLkkK4tsbf+jZwVP22FqxlLlHNbKDgOLr1dVVRUxKVLl4zCAwMDjcLy8vIIDw+neUBzXu71\nMnuf2EvKrBTe6/Yej7V7jPq163Ml7Qof//ExA74dwCPHH+HRjY+y5tQaUnJSANGnlRSmvJ6XH2ia\nNGkCQExMDLm5d/11la76AHpbNqGhoQQGBhoNFFVVzK1Xrx5dukTx+OPf0rVrArm5XgwdWpvffqv4\nPp1Ox6BBg9iwYQN//fUXEyZMICQkRF/HqUVFPH3+PMLff3Nw6lT+BDwzM2HuXIiIgKefJio3l61b\ntxqlPXfuXIPvgYGB1bIZJCfkOsBbK1817bvK0ZBLeRU7OY7L4cOHazoLNVLHLr2So1arJStdSpcl\nNTWV0FBDn1j1atdjXLtxzAybSZGuiMOxh9l2eRtbL2/lQsoF1p9bz/pz61Gr1PT8f/bOOzyK6nvj\nn91NIZX0hBQIXXpHkPYFkd6UIoggiIqCiIAIoiL4AwULCiqiIk2lhI5gKAKRJggB6SAlIb33XnZ+\nfwxZs5k7IZEENiHv8+SBuTNz5069Z895z3u8O9LKphWeMZ40dm1sdFxRlW29Xq9IIdfpdJw8eZLR\no0cTGRlJVlYW6enpuLq6lpiLYmdnV6LtiiIpKYkzZ85w5swZYBXwI+npY+ndO5fXXjvGhx+2MFRd\nB/l6ZWRkMGrUKKZOnaror7BXa+3atXh7e9PkiSf4/uJFDv/f/8Hnn8OuXbBqFVuBvRoN+Xv3ouvd\nG+5eO39/fyRJMlxLjUZjqA9W1hB9RCv7R/F+URp+galM4qWBKdfEqgzPZlmUQqmIz5UIleU8RKhS\nPC5nFOUGFPdhLo5nY6Y1o0utLix+ajFHnj3C5YmXWdpnKT3r9ESn0XE89DhfX/uapt82pc6yOkz5\nbQr7b+0nOy8bd3d3Rb+ZmZkGz01hFHhsatSoAciVy/8L2dbOzo4nnniCcePGsXDhQnr16lWKvfOA\nccBS9HpzvvmmK97eH/DBBx8QGhpKaGgoVlZW+Pj44ObmVmxP9erVQ6fTsXDhQvbv38+06dOhSxfY\nsQOuX4dJk8jUaOgjSej69oUWLWDNGjQ5OYSFhbFnzx6j/nbv3l3aS1EiVIZJozxR2uvzIGtXlYYf\nV1kmk/I6D1PgdZjCPaqI4VJTuHcPA4+8kVMUMTExwom5NMUjs7OzaezRmDcef4MDYw4Q93YcW4Zv\nYXj94bhYuxCcFMzXp7+m98+9cfnUhfcvvc/qc6uJTvtXDM/NzU0YxirsZXJ0dKRBgwacOnWq2JR1\nSZKIiooiPDycvLw8AgICCA8P5/jx46xevZo5c+ZQr169Yq+LoFfgTWAuoCMz8yt++skdb29vfHx8\nVENzRdGnTx++//57QPboGAkm1q8P33xD3yZN2NyyJXh4wMWLMH48XcaOZQ5wdMcOo/6OHz/O2bNn\njdpE2Wum8KGsiKiI1620hV+r8Gga9RXxmXgUDfjS4pE3copyA/Lz80tc8DI+Pl7I3ykKe0t7hjYe\nypf/+5KoGVH8OeFP5nSeQ3P35qTlpOEf7M+Lu16kxuc16LCyAwuOLCDVJlX4UBZ4cAx929vj6upK\neHg4ycnGSs0xMTFyUc2ICFxcXPDy8qJevXp069btP4etlONZSaNG3wIQFDSJd9/VUJp3adiwYbz4\n4ot8+OGHSJLEc889x7Fjx4y2sahRg9ZbtkBwMKxZA82aYZmQwFPAh2vWwKRJcFc1WqPRGGpkFSAu\nLk7BvTLlF96Ux1YaVMTaVeWFymI03C8np7Jch4oIU9DJeRjftkfWyMnKyqJacfK9RSB6OXNycoSh\nouIsaZ1WRwfvDix8ciHnXz3PX6P+4pt+39C3Xl8sdBacCj/F+4ffp/+v/an5ZU1e2/0ae/7ZQ2au\nTDRu2LChot/Q0FA8PDzIz88nPDycnJwcgoODcXBwMBCR76dSuRpcXFxo3rw53btf4tVXj6PV6vn4\nY3jtNSiJFuLAgQPp1q0bALNmzWLs2LFkZ2czcOBArly5AsiihJ999pkcurO0hBdegPPnCVy0iJOA\nZX4+fPstNGwIgwfTLDGR7du2GekUabVatm3bZnRsrVZbKi2jBw1TnQzK4leiKZNETZlnUwXTQVVm\nZdnhYSsemwP9gcXIGm4b7/6/PxWctJyQkICTk1OJ9Dpyc3Pvu1yAWmkCL1svJrWbxG+jfyP+7Xh2\nPLuDl1q9hJuVG2EpYawIXMGADQNw/sSZQRsG8XvS70SkRhj1kZ+fjyRJODk54erqypkzZ/D19RWm\nppcGderUKXZ9XFwc+/btY/ny5axY0Rm9fjAaTRbffQe9e8eTk6O+r5eXF8uWLTMsm5ubM3/+fAYN\nGkRSUhJ9+vQhKCiIxMREmjdvbryzRkNC69a8p9NxYf16mDABLCxg1y6WBAayLTyc0E8+gUJhqg0b\nNgjHfz94FD9IZYVHrXZVWcAUUsgfJK+jPOs4VRaU5j2oLJycslQ8fh84DQwAriGn1KwFrgMDgTPA\ne/9plBUMsbGxwkrfpUFaWpowRFT4htlY2DD4scH8MOgHAkcHcvrl03zQ7QNa12hNZl4mv/7zK7OP\nzcZriRdtvm/DvIB5nIk4g4uri8GjZGFhQbNmzTh9+nSJx6bX67Gzs2Pw4MF88MEHbN++nZs3b/Lb\nb7+V8ix3I0m9gRQOHnTGxyeQ2Nh0xVbx8fGsXr0aX19fQ5tGoyE2NpY1a9bQsWNHQkND6du3r2qR\nUkmSmDFjBs1HjYKVK+HOHZg7lyRzc9oBtd55B+rWhc8+Q5uaysWLFzl+/LhRH/sLlZSowv2hNJkt\nlTkLprxQdX3KH6ZsEFV5GGWUteLxeWABMsO0KFYhG0gDSn1EE4GVlRUZGRn89ddfRr8qRQ+Io6Mj\nSUlJRinSatuqoTTbZmVlYW1lTVuntrT1bMu8/80jPCWc9WfWczT6KL/f/p2zkWc5G3mW+X/Mx93a\nnYFBAxnQYAA96/TEzs4OJycngoKC8PX1FT4YsbGx5Nx1tWg0GhYuXKjwVqWnKw2Ue+MI8D9gLzEx\nbXj66Vz8/aHAvouJicHc3JxGjRop9rx58ybLly9nx44ddOrUievXr/P000+zd+9eRVjQzc3NOCPM\n3R3mz2f00aM0OHWKz7280N64ATNn0tTamiXAyY0bjRSuAwMDuXTpEk2bNjW0FXjF7ueDV5k/MmWF\ngIAAhTfHFLKr7rdfNVSWFPITJ04wbNiw/7x/WXwzq4zk/4b7vXcVFcV5cnahNHC0QEHMRX93mwoJ\nR0dHEhMTFe2SJCleGCsrKyPxvbKE6IVNSkrC0dHRqM3L3ovRj41m16hdxL8dz57n9vBqm1fxtvcm\nOiOaledWMmTTEJw/cabfL/3YG7+X6KxoQzkIwFD/KiwsDHt7e6MCn2VVvdvR0ZHBg2sya5Y/NWro\nOX7cnF69IDHx33T3oudWGGvWrGH69OmsW7eOGjVqEBAQwNixY434MyEhITRp0kQ45hydDrNJk9Be\nuybXw+reHV1GBtOAad98AyNGwKlTgMzL2bhxo9H+er1ekZ31oGHKH2xTHpsaSpNdVRHP71GDKRg/\npuz1UUNFHHNZoCTE4w3Iho0NcAm4CrxdnoN6UJAkSfFr0sPDg6ioKMW2IpKqk5MTCQkJwn6LosBz\nVBKYm5sbvCyifq3MrehXvx/fDviWkDdD2P/Mfv6v+//xuNfj5OTn4H/Tn9f9X6ejX0cG7x3MzL0z\n2XN+DyGhIfj4+ODt7V0uhSzt7e1p2bIlDRo0oFWranz99UVq1ZI4eRK6ds0lM9NWKHxYFL/88gtf\nffUVu3fvxt7eHj8/P6ZPn44kSURGRuLq6oq5ubmQ19G4cWPef/990Gqhf384dIhr69ezDpA0Gti8\nGTp0gE6daBcayr4iITmdTvcfwnRlj8rwQarstatMGfc7uavdu8rC6zBVlGf6tyncu4fxXSuJkdMY\nSAGGAP6ALzCmHMf0wGBlZYW/v79Rm5mZGRcvXlRs6+zszI27acqF909NTVVsq9FoFEZRaQwiJycn\n4uPjS3QOGo2Gxk6Nea/re5x86SSRMyJZNWgVzzz2DDbmNlyIvsBXf3/FgB0DaO/XnnE7xrH1ylZS\nslNK1H9hODs707FjR9UCnykpKRw+fJhPP/2UkSNHMnx4a6yseuPgEMOlS+YMGGBDZGTJjrVhwwYu\nX77Mli1bMDc3Z+nSpSxYsIBq1aqplsFISEjg/fffVxC8Mx97jBeA/d99B7Nng4MDnDjBtGPH2Hju\nHDmffw5paYbtd+1SOihLej8qO0whu+p+w4kPAxVtvI8iqrx4DwemoHhshpxlNQT4FchFzNOpcDAz\nM2PGjBmKhzsgIIADBw4YtVlbW7N06VJFH7///rtCbK5GjRqcPHlSsW1B2KgwbG1tSSs0wYJ80//r\nC+du6874VuNZP2Q91ydcZ9/z+5jSfgq+Dr7EZ8Wz9vxahm0ehssnLjz101MsO7WM24m3Ff1kZmYS\nFRXFyy+/zIoVK/jzzz+JiIjA39+/xL8I9Ho9164dICmpOXCJK1c0dOiQTUhIyc5FkiQaNmzIV199\nBcDcuXONFI4La61kZmaSnZ2tqlvUrVs3er/4Inz8MYSGwrJlRNvaUheweOst8PGB2bPRRUZy5swZ\nrl69arT/0aNHSzZoFVRNcsYwVZ0cU+bZmAKqdHIqLkxBJ+dhoCRGzndAMGCLzCr1BZKL2b5C4erV\nq0INlSVLlii2/fnnnwkpMkMnJycrxOc0Go0wZfnUqVMKHlD16tU5d+6cYtuSGkRqyM/Px9rCml51\ne7Gs7zJuv3GbS69d4vXHXqe9R3vypXx+v/07U/dOpe6yujT+pjGTd0xmW+A27oTeMZSV+P7775k4\ncSIdOnTAwsKC6tWrC1Phi0c0Mhk5kJAQS7p0gZs3i9+jY8eODBs2jJo1a+Ln58eQIUMAGD9+vMIA\nBYiOjlYIJRZAq9WybNkytNq7j7utLUyZwvT+/Zno4gKdOkFSEixejMcTT7AOOF/knl65coVLly4p\n+hXdJxEq+4RYlV1V/jCFFPIqyDAVnZwqxeN7oyRGzjLAC+iLTDa+A/Qoz0E9aKxevVrRtm/fPi5f\nvmzUlpGRwc8//2zUptVq2bJli2J/f39/hQKxXq9nR5EyBCAOj1y5coXIIrGd6tWrExwcrHoehWFl\nZWU0AWs0Gpq4NWF259kcev4Qp0ecZs2gNQxvNBw7czuuxl1l+fnlDN09lNYbWvNGwBtsvLSRpKyk\nEh2vOHh4eDBy5FPs25dPx44QEgJdu8JdvT8FxowZw549ewylIRISEtixYwfu7u7k5eXxzDPPcO7c\nOQOvIyoqSrUopyRJVK9eXam1A0haLfbjxsGxY3DypExK1usZA4z85BPo0UMmL+v1aLVaxX1ycHDg\n1F0Sc9Fj3g8ehY/Rg6xdVRlgKs9ERdPJqcK/MAVOzsMosVKckTMOcYq5hByysgDGl8OYHjiOHj2q\nCDlJksShQ4cU2x45ckTRdvz4ccUv+oyMDP744w/FtqJy90ePHiUrK8uozczMTGgQFS1ICbKoXdF0\nb41GY1wHqhBsbGxo/Vhrerj04N2G7xI/K56DYw8yrcM06jnVIyEzgV8u/sKoraNw+cSF7mu78/mJ\nz/kn/h9hf2qoXr06nTp14tVXX6Vfv3507dqc/fvhf/+DyEjo1g3+/lveVpIkbG1t2blzJ+vWrRNm\nYEVHR6PVaklLS6Nv374EBQUBsteqcFXzwggNDaVmzZrCde7u7rz99l0O/eOPw6ZNRB07xhIg29IS\nDh+GgQOhSROeuHSJYwIPkugZud+U5fz8/DLLditrlOaDVNknqarQ1sPB/XoNS9NvFSo+ijNybJHF\nADcAM4DngNF3/78BOAWIGaAVDCkpKURERCjaCyp+F8adO3cUbenp6YraSCBPsCXpMz09XcEBAYSC\nfgcPHlQYZLm5ucKMoCsCV0lKSoohZObj44NeryctJY0etXuwpPcSbky5wfXXr/PZU5/xP9//ARAQ\nHMBbB96i4dcNafBVA/Zp9slBSy1Uq1aNtm3b8txzzylKRyQnJ3P8+HHmzZvH2LFjcXJyYtCgHnTs\n+H906JBEXBx07w779iURFhZGv379GDRokGLMhVFA6I6OjqZLly7FqhYnJydjb2//b5iqEPLz83nt\ntdcUIo/5Pj7MAM5s2waffSZzda5dY+Thw/x05Ah88AFE/1tIVSQoqCZNUFLk5uaqGm2VAZIkmSwn\np7IYI+Wpk3M/KE+CemU2UkoTglK7bpWFk1OWisdfA62Bb5CJx52BTsjenYJ1y//TKE0MWq1W6DkQ\nTTRq9Y5E3Aw1T0pRaDQaYaXs2NhYRVtOTo7QG3Tw4EFFm8jLYGVlZbR/vXr1CAoKMuL6NHBuwIwn\nZnD4hcPEzoxlw9ANjG42GsdqjtxIuMEpzSkYB9bzren1fS+m/jiV9z56757eh8zMTA4fPszHH8/l\n5El3qlc/SFISDBtWneBgn1J5L3Q6HeHh4QwYMID09HThg5+WloaDg4Nw//DwcOrXry9c16NHD57o\n2xdmzIBbt2DDBu64ueGs18OHH0KtWvDSS2iuXOHUqVMKA/mvv/4q8Yso+niZspFjCvH+iphd9aBR\nXinkpoAHXSdNBFO+PpUZ/+W634uTIwHHgEXApLt/i4HjVJIMK5C1VURk2nr16ina3N3dhX2Iyj6I\nDCc3NzdFm0ajoXbt2op2UUkDrVYrNH7Onz+vaLty5YrQQ/XXX38Z/m9nZ0fLli3ZvXs3SUlK/k01\nqtHFsQufdPiEv0f/zb6R+3j7ibdp5NKIjPwMdt3exZjtY2i6tik5z+fIZnCJKmDkkJzcB51uI2lp\nGvr2BUF0TxUtW7YEZDL39OnThVwltRciKSmJ6tWrC9fn5eXx8ccf/7vO3BxGjuTzESN4uUEDGDwY\ncnLgxx+xbNOG3Xo917/+msKl1+/cucOFCxeM+rW3txdKCIiQl5dnsuGqsoBGozFZnRxTKPxpyjAF\nXkcV/hse1Xv3yFYhL4y+ffsq2szNzenevbuivVmzZoo2BwcHatWqpWj38PBQtNWtW1fRVr9+7QLj\ntgAAIABJREFUfaGR1LhxY0WbJEk4Ozsr2kUhEktLS6GHJzAw0GhZq9Xy559/EhkZSUhICHl5eaSl\npREaGkp6erpBFbmmd016NezF4qcWc2XyFW5OucnSPkvpWacnOo0OyUeCp4DJwFRkqnpdQDBfazQa\nnnyyG7/+6sTYsZCeDn37gsD5pMDQoUOZM2eOYXnPnj3MnDmTlBRj7R+1X3FpaWmqooRarVasA6TR\n4DN6NOzYAdeuwaRJSFZW9AW6f/wxtGgBa9ZAdjZarVaRAWZra6swfIobY0WbFO83Y6oihokq4pgf\nNkz5uTaF+1menlJTuPamKgZ4P+iDXNzzBjBLZZtld9efB1oVancAtiArLF8BOpTHAM3NzXn55ZcV\n7b179xYaLl26dFG01a9fX3HzJEnC09NTsa2oz3bt2inaRGrMIE+WHTooL4UoLFNQ9LIoRPyhvLw8\nTpw4Qc2aNYmMjOTmzZv4+Pio6s4A1HWqyxuPv8GBMQeIezsO8+3m8DeQDjgCjyPLRr4NjABNKw01\n6tWgX79++Pn5ceDAAfr27cWqVfDii5CZKYsUC/i9ALRq1Qo/Pz+2bNmiKHa6detWXn31VaOPgZ2d\nncLwAYQcHZDraqkVYnVycmLSpEnyQoMG8M03ZN+4wRwgw94eLl6E8ePB15fOf/zBRQHnRBQTN4UP\nz8OAiJPzqF6LksIUrk9l4XU8ijDVe2cKYoD/FTpk7k4fZNXkUUDRqoz9gHpAfeAV4NtC65YCv93d\npzmysVPm6N+/v4KbkZ+fz+TJkxXburi4MHDgQEW7yLuj1WqFXhuR0dCkSRPhdiL34lNPPUW1atUU\n7S1atFC0AYY07MJQI+sWkJ+9vb2xsLAgKChIlYNUFPaW9uiu62AH8BmwEqpfqI5lkiVYAo1BGiwR\nOTqS3zx/Y/hXw3Fp6sKgwYP4/PNPeOONi7z8MmRlyQlN+/bJ/ebm5tKhQwf8/Pw4c+YMw4cPVx3D\nhg0bGDdu3L9jsrcXGjlqv4pycnKEasqSJDFq1CjlvXN25mMgOCBA9uI0awZRUfQ4dIgVv/0GkydD\nIZVs0cQuUsw2hV+UZQFTmJTLE5VZt6ayPIPlBVPRyanCvVESI8cD+BHYe3e5MTChBPu1B24iCwnm\nAhuBwUW2GQSsvfv/U8jeG3egOtAFudo5QB7lIECYmprKd999p2jv2rUrffr0UbSPGjUKGxsbRfvj\njz+uaHN0dBROmEUzkEDM0/Hy8hLyMkTjAtnzVBSSJAl5RWp8j4KQl0ajwdfXl/T0dObPny/ctiiy\nsrJo1aoVr732GqtXrebyvsskbklkjuMc+ALYg+yvywe8gR6QMCKBX+v+yqwjs2g5vDlH/mxM69an\nyM6GwYMl1q2LIz4+nm+//Zbhw4eremAKY926dXzwwQeG5WrVqimKq4o+JOnp6UIOFMgkZdF1BPl+\nNG7VCl54Ac6fhwMHuFmvHlaSBMuXQ8OGMGQIHDnCmdOnFUbXuXPnFOOxtLSs1CKDal5KU0DV5FU8\nqnRyTAulkavo2LFjeQ/HJFESI2cNsB8oiL3cAKaVYD8voHAOddjdtntt4w3UBmKB1cBZ4AdA6ZK4\nD+j1eiRJUhgY6enpQk5GSkoKU6ZMUbRLksSAAQMU7WoEZVE185JmYeXk5AjJzDY2NkLjx87Ojq5d\nuyra1YTzCmf0WFtbU7t2bZYsWaIQRSxAXFwcYWFhhIeHk56ezokTJ1i+fDnjxo2jcePGaDQaebzJ\nyGIEvwCfIAsQBAKpyOZsO2A0XB98lbMNO2D2+FiyLSJ5+WUXTp9W8pruhQ8//NCgMeTi4qLwXLm5\nuSmKsObl5QkN0NzcXHQ6ndAwzM7O5r333vu3QaOBnj1ZP2YMEzt1ggkTZOLyzp3QrRsHUlII+ugj\nKJRJFxMToyCNOzs7F5saX5JxP2hUZVeZFirD9SkLxewqnRzTx8MUAyyAC7AJ+Tc4yF6ZkszKJR15\n0SdLQk5TL0hRb43M8pgt2nncuHHMmzePefPm8eWXXxqFBAICAlSXw8LCuHnzJl9++aXR+j179hiI\nvYW3T05OJjg4WNGfjY2NgXtTePsGDRoojn/16lWjzKaC9eHh4fccL8jKyIUNjoL19vb2WFtbK7b3\n9vY2isMGBARw8uRJg/pv0e2zs7ONlo8cOUJaWhpBQUGEhITw66+/cvjwYcLCwggLC+Ps2bPcvHkT\nLy8vnJ2dheMvWtSUHOA6chW0z4GvgAAgAtnEtYC8vj/BDC9yejVk8Afj+Gz9GfSSXtF/Ubi5uRm4\nScOHD2ft2rUEBAQQFRVFenq6YX8LCwvy8vI4dOiQob/q1avj7++vGP+OHTsM5SKKHn/v3r1Gqf+F\n1zd85hkCnn+egA0bYO5ccHEhVa8ncfFiqFsXPvuMgN27uXXrlqEuVsH+Go2GkJAQxfGOHz+uGN/B\ngwcNxum9np+AgADF81Dc9idOnCjz/QvOr+D/5T3e0i4Xllcoy+tT+Jz/63iPHDlS4uMVaBH91+OJ\nxhsQEMAPP/xQ4vGKjnf8+PH72j8gIMAwKRbd/tixY+VyvNIsP8j3S217tevzww8/lPl4S7t8v/ej\nQIw3ICCAcePGGeb/+0UA4AwUFFjqAJQk2bcD/4a4AN5BST5eAYwstHwNOVzlAQQVau8M7BYcQ/ov\nSEtLk+Lj4yVJkqTDhw8b2uPi4qS0tDTF9omJiVJycrKiPTMzU4qJiREe4+eff1a0/fTTT9LatWsV\n7XPnzlW0hYeHK9rCwsKEx1JrDw4OVrQFBQVJ3377raJ90qRJ0qZNm4za0tLSJEDas2ePJEmSlJyc\nLB09elTKzc0VHk+EZcuWSciGa7F/jo6O0vAJw6Upa6dIA9cPlKwWWEnMw/DnuKCG9NLOl6QdV3dI\nadlp0v79+4327927t3Tr1i2pR48ehjYHBwcpPDxcOnv2rLRjxw6jcen1eumff/4xagsJCZH0er1R\nm+g+FFyLxMRE4bovv/xSSkhIMG7MyJBet7CQUry8JElOOJckW1vp7+7dpRlDhyr6+OqrrxRtovuc\nlJQkpaamKtojIiKEYxOdT1lsK2ovbtvC750kSVJkZKSUl5dXojHk5eVJUVFRJT6eqA+1+yrq40Fv\nK2pPTEyU0tPTS9SvWh9lse3mzZtLtL9ae3ltm5aWJvxGl6aP8rqWZXHOZXE8U713pTlntftMMU6V\nknhyZiD/7q4DnAB+At4owX5nkAnFvsglIJ4FihZp2gWMvfv/DkAScjXHKOQwVoO763oC4pjJf0BS\nUhJOTk6AcQ2djIwMIecmNTVVqKMTGxsrzMZJTk4WpqWDWE9HpExcUk2VjIwMIbk4MzNTyDGRJInO\nnTsL+2rdurWwvYCPYm9vj4+Pj5E3qqyQmJjIwe0HubXpFu1utmN7h+3sfHYXLfNehWRvEvMiWXlu\nJUM2DcH5E2fevfIutINmnZuxceNG/P39qVOnjhFvJykpiSeffJLU1FSFR0mj0ShqUXl5eRm8agWQ\nJEnoTk1NTVUVGhwwYIAyrGhlxS82NqSePCnXw+reHdLSaHH4MIu3bpXrZhWqgyWqYq8W6jSFcFVp\nURlqV4mei8qOR1VrpTLgUb13Jfk6BgLdkA0ODXKwQSnPq0Qe8DqwDznT6kfkDKmJd9d/h5w91Q+Z\noJyOcS2sKcgsDgvgFmVYJ0stpisitiYkJBgMosLIzs7G0tJS2H9qaire3t7CdSKSctFCnADBwcGY\nmZnx2GOPFTvupKQkYfXthIQEIffG3NxcqL/j7e0tzAarXbu2UfaZs7Mzn3/+OTk5OaUij9apU4f2\n7dvTrl072rVrx/Dhw4kuVB6hYMy//faboUSFi4sL3bv3wCvzV/acAU3D3dTtu5tbWX9xOuk09IeL\nXOSjxI+4cOgCAxsORCpi0F+7do233npLaNidPn2atLQ0gzGo1WrJyckhPT3dYOx6eHgQGRkplAMQ\nISYmRpXz1KdPHzy9vcHbW86VP3eO6xMnUvfMGdi8Wf7r1AmmT+fvwECF8vH169cVhlyByKAo464K\nlQsVzQgUwZTPwRSMVlO+PqaC0t6nknhyzJANkZ5Ab2QvzvQS9u8PNEROE//4btt3d/8K8Prd9S2Q\nScYFOI9MSW0BPEMZZlcVvkgFMT/93UrTRZGZmSn07sTGxgqzojIyMoRZVQDt27cXGkwiUquZmZmi\nLIOLiwsxMTFGbRqNRpjmrfayaLVa4Xk2a9ZMuE+7du2M2m1tbalevTrbtm0zKgVRFJmZmURERNCu\nXTsCAwM5d+4cGzZsYPr06XTp0qVEZQvi4uLYvNmPPbtbYZ3yO9If73F7zp985HydVYNW0UXfBVsL\nWy5EX+CjYx/R8ceOHGl/RM7hawRYytfx9OnT7Ny5U3Gd9Hq9IoXbwsKC5cv/rVai0+nIz89X7Kt2\nfXNycoQGR05OjlKWoFUrDo4bx9RBg2DWLHBwgOPHYehQ9ty8ScQ770Cha5yamqoQFDQ3Ny8xcd1U\nIJlw7arS4FFMITdVrZXKjrK4/6JyQBUN5VHWAeRQ1QuAE3LRTlvArtg9TBzm5uaKqt8Fk1lJoZbO\nnJCQIFQkliRJaCwBNGzYUNh+9uxZo2ULCwsuXbpk1Obs7Ex8fLxi39IqZ6rVcSogKReGVqvF3t6e\nrKwso7IRqamphIWFERERQWZmJp6ennTo0IHWrVsLw32lQUbGTBwclqDXa5jzRn3ML4/nw+4fEjcz\njn3P72NK+yn4OviSa5ErS0o+C7wN1V6uhkUXC24n3mbmzJlGfXp4eAhVqbdv32607O3tzc2bN43a\n1PSDihMa7NSpk3Bdsz59YNEiCA2FZcugTh1q5eVR6/PP5QKhs2dDeDharVZYtFUk+Fiaj6Ip/IIt\nDcpzvOXVd0W7xqYAU/ZqVD0n/w2mqnjshexJ+QCYX+ivwsLNzc0QKikccjEzM1MYP46OjsJ0XrWH\nUW2Si4yMFIaVQBb4E0F03KITsIWFhbC4p9r41B6yogrCBRCFsEBWbnZxccHV1ZXg4GBu3rxJfn4+\n3t7eeHp6Cj1W/xUuLi5MnjyZc+eeYeFCmbX7wgsQEfE/LM0s6VW3F8v6LuP2G7fpcLYD/A6EABpI\nc08j58kcmApLspbQ4+MeHL1zlDx9HgMGDBBej5CQEKNljUbDpk2byMjIMLR5eHgI64KJUNyHy8rK\nihEjRsgLtrYwZQr88w8TXV1JbtoUkpJg8WLw9aX911+TePiwoo+ihm/BmO8X5fXBLYvaVaY8AZoC\nyuv6VGZeR2V/pkz13pmC4vF+5DBVpYKrq6si9OPh4aHgiVhbWwurXKsRUtUmBjXOT2pqKj179hTu\nI6qvdPHiRVXdmnshNze31CRVkacDoFEjWbza3NwcOzs7cnNz79tbI4KbmxtPPvkkjRo1QqPRMGcO\n/N//gV4PY8bAxo3/bqvRaLDNsIVjYLbOjHm281g3ZB1PeT4FWYAbHM45TNc1XXH/zJ3v475n46WN\nJGUZFyYV8aliY2PZvHmzYdnMzIy8vDyF9090/+Pi4oShTZCNbIVBqNNxxNkZ7YkT8OefMilZr8f3\n6FHe3rABevSAPXvki4AsKFgUIsO3tKjM4Rg1VJYCnfd7PctrvGXhYSwvnZzKgvKsf1URURIj5wSw\nHXmaSL37p9TKr2AoMF42Fp4lkSf1or/kfXx8CA0NNWqrUaOGIhNHDWp8H5AzsUQCfyDXaioKrVZr\n0FUpQFRUlELcTvRAq2WDpaSkCD05+fn5Qo+MVqvF19fXsOzk5IS5ublBgK+0sLe3p3v37vTv31+x\nLiYmhk2bNvH666/j6+tL48aNiYyczPPP30CvD2D0aNi0yXifRo0a4e/vzwczP2BMizEsbrsYPgXH\nXY7wJ5AACZkJbL2xlVFbR+HyiQvd13ZnyZ9LuJ18myFDhgjHWdS4dHV1NdINgX9FJgsjNzcXCwsL\nRX96vV7YDtCjRw/5nnToIJ/grVv8068fmTodHD4MAwZAkybw/fdc//tvxf6iquymBBEnp6JNSI/i\npGEKnJyyMH4qC0rzzpjCvXsYKImRswQ5vdsamYtjB5T9T/aHACcnJ5YuXWrUZmlpycaNGwkLCzO0\nFXBQCvMydDodFhYWirRe0SSXlZUlJKMW9wJKkiSskwUI05xXr16t2lfh7UQvRWpqqtDIiY+Pp3bt\n2or2atWqGXl4NBoNNWvWxM/Pj5ycnHuOISYmht69e7No0SIOHjxIREQEhw4dYvTo0fc8h6tXr7J8\n+XJ+/rkBNjZb0eth9GiJzZtlPtSECRM4c+aM0juWD4lnE2kb3xaWgfWP1kxvMp1utboBEBAcwIz9\nM+i2pRsrrVYyfd90DgcdJjf/X49IUc+aRqNRXHcvLy+jZwf+NaiLIiIiQjVryxDCKoCvL3+/8AKz\nn38ePv1UztC6dg0mTuSnI0dImjoVCnkhRWnzVahCFcoGpmyQVzTDrrzHWxIjJwRZo6ZklRorGE6e\nPKkgc6akpPDFF18YtTk4ODBnzhyjNjc3N8VE4unpqUgJt7a2NuJzFCA6Olp1knvsscdU+TAig2n1\n6tVGZNhq1aoJj1kaWFhYCI0fS0tLRdjLwsKC1NRU4uLiFETorKwswsPDDaRkBwcHVq5cyaxZs+jR\no4cqIfteSE//Gvg/8vM1jBol4e9vxciRI4W6QQU4f/48PXv2JCM0gw1vbGDN/9YQOzOWDUM3MKrp\nKKpbVOdW0i2+OPkFPdb1wPVTV0ZuGck1i2t06aWsQP/3338bhay0Wi1//PGH0b1wcHAw1AUrDI1G\nI/xYJiQkCCvTAzTu2BHeegtu34b166FNGxzz8nBYtgxq1YKXXoLLl7GysuJUId2dAoieiYdBUjbV\n2lWlgSlPdOWF++V1PIrXzFRgCpych2GAlcTICQIOIysWz7j7V9IU8goBUcbKwYMHFW27du3i2rVr\niu0K1x4qyNIqyc0sLoxVXIp106ZNFW03btzgwIEDhmVnZ2dFeKW0Hxi17dV4PXq9Hk9PTywsLLhz\n5w5paWmEhoaSmpqKl5cX3t7eeHl5qYZo/gt69PiD8eOjyM/XMG6cFUV42QoU1KLq2LEjkZGR9OnT\nB32GnpFNR7K4/WJi347lyLgjzHxiJo1cGpGcncymy5s4YHeA7v7d6bK6C4uPLeZK7BUkScLW1lZx\nnW7evMnevXsVxxbxukTIzMwUGmp6vf5fkUlzcxg1Ck6f5qX69Unq1g1ycuDHH6FpU1rMnk2uv7/M\n0i4EkXenok08Fe2XallAzQtbnsd71GDK51zFs/nvKKmRcwhZlK8gfbxCp5AXhUjUT6QBo9frOXPm\njFGbRqNh3bp1Rm1eXl5s2bJFcYyimVtqSE5OFpKOQeaBiCqOgzLm+t1333Hnzh3DshpPx8XFRdif\n2gukZqQUGD92dnZ4e3tz7tw5PDw8hDyg+0G1atVo0aIFL774Ivv27eXHHz2YNQvy8mSO7s6dxe9/\n9OhRtmzZwmOPPcb169cZOHAgaWlpaLVazHXmdKnVhU+e+oQrk69wc8pNPu72Mf/z+R86jY5jIceY\nfXA2TZY3ofF3jXEd68rBoINk5/1bNVyr1fJ3EZ6Mp6cnu3cbVyZRC2OpoUWLFtSsWdO4UaPhsrMz\nVvv2yeGrSZPAygrn06cZv349tGwJa9fC3arm/5W0XtYoyskp7ce6yjB7OHhUeR0PCuX5XD+q964k\nRs68u38FqeMF/680EKkQF5QyKAqRh6VoCq9Wq2Xt2rVGbS4uLgo9E2dnZ6HGSVpammpK97hx41TV\nbZOSjLOEUlJSmDFjhmHZwcFBEUrKyckRGnnp6emqx1EzWoqKGvr6+nLx4kXhtiWFnZ2dwquRlZXF\n+fPnWbVqFTVq1GDMmOdp3nwD06blkZcHw4fDr7+q91m7dm08PT1p27Ytrq6u/PnnnwwdOlSYAVXX\nqS7P1XmOwy8eJu7tODYP38wLLV7AxdqF4ORgrjtcp9fPvXD51IWhfkNZ8/ca0qQ0hZGq1WrZsGGD\nUZuTk5NqGEsEtey1li1byvewQQP45hsIDeXWiy+SWK0aXLgA48ZB7drw0UfcKaK9BOolRB70xFzR\nDJcqlC8exeehuOzcKsgoS8Xjr+/++6vgr2gNqgqL9u3bC8M/Tz75pKJNo9HQpk0bRbtIsfjcuXMK\nnZvAwEAj/oalpSXZ2dlFd1V9uVNSUoqNq4oMs61btxrKJNjY2JCUlHRPcjCoixoCRqUmCqPwuHU6\nHXZ2dvz6669G4bx7oXbt2gwbNozFixdz4MABQkNDadCgger2cXFx/PLLL4we/Rzr1/vQps0f5ObC\n0KFyiaiicHR0ZNmyZYCcPZaUlISVlRX79+/nlVdeUbxAhTPS7C3tGdZ4GGuGrCFqRhRb+21lTuc5\nNHdvTlpOGtuubmP8zvF8xmf8qPmRhUcWcj7qvKFPUY2yq1evlvjaqKFLlyJcIWdn7owezZxRo2D1\namjWDCIj4d13+XTTJvJfew0Kha0yMjK4ffv2fY2htB+eysDJKQ0q2oStNt4Hyet40Gnhpem3Ihod\namKkDxL3e+/KWvH4hbv/fq7yVynw9NNPK9p0Op0wnblNmzZCQ0I06ev1eoUOT3JysoLro6a3I0JK\nSopqGMvBwYHhw4cL1xVM6iCf29SpUw3HFB1bLRsM5IKQaoUpi3q5HBwcqF69OuvXr1eUTyhAXFwc\n4eHhhIeH07FjRy5fvszmzZt5++236dmzp+r5ihAdHUVg4P+wsVlpMHTu2neAnJb9xx9/0KNHD0Nb\nbm4umZmZaLVa1qxZw4IFC4z6zM3NFZbpiIuNo3/z/ix8ciHnXz1P8NRgvun3DX3q9cFMa8a52HO8\nd/g9Wn7Xklpf1mLSnklQH7LyjEOWV65cUXi7LCwshMavGtRIyt5168penPPnYf9+6NOHano9uhUr\noGFDGDIEjhzBqlo1hbo2qKs6lxQVcSIoDSr7+ZUHyuKalUafrKIZl48iHqYYYEG+dIDg74/yG9KD\ng5oOTNOmTQ1id4WhxoUR/bqxtLRUZEfpdDrFr/kaNWoofkWLXth7CfnNnDlTVbiv6CS6YsUKZs2a\nBfxb4LEw4uLiVENSERERqsrNonCPTqczeI9CQkKQJMlQ/iEsLAw7Ozu8vLzw8vLC19dXte5XaWBn\nN5cxYxLJyYGnn5Y4csQaPz8/fv/9d5o1aybcp2BCnzt3Lj/++KOhXe3jmZubaxTmq+VQi0ntJrGm\n5xoipkaw49kdTGg1AQ9bD0JTQvn2zLecb3oe50+cGbxxMD8E/kBEagTm5uZcv37dqG8XF5cSx8+L\nKxdieIY1GnjqKfD3Z2KnTsQOGiQTl3fuhG7dqPvcc+j8/KCIgGBR7aXirkdpURlqVz2KMGVex6Oo\nkyOCmtFw/PjxBzwS00Bx8reuyFlUoismIevnVGhkZWUJPTOtWrUSPihdu3ZVtJmbmwtd740bNxZy\nXYqGiszMzDh27JiRQVRASC08ecXGxqoaF3Z2drz11lvCdYCRcF8BPv30U5ycnJg9ezbR0dFGZOfi\nwmVqXCFAGMoDmd/j7OyMo6MjgYGBODs7C/V37hdeXl688MILTJ48GQeHami1qaxda8esWQ3Ytash\nJf3B8Morr+Dh4UH//v3R6XSKauAgLt+Rn59PXl4e7vbuDLYfzODHBqOX9ARGBLLh7AYCwgM4F32O\nXdd3seu6HPH10fnQx6EPtSNq06pGK7Qaud8jR47QvXt3o/5FH2y9Xi8MlwI0adJE0RZsY0Pip5/i\n+v33sHw5LF+O9eXLPH35Mpw8CVOnymno1atz7do1hZeoNL+6TEE1tzxR5SV4dFF17ysOivPk6JCz\nqGwFf5Uiu0qSJKPQRQFE6btpaWm0aNFC0d6kSRNhdpJaCEHEcyma8eLo6KggEYP4xcrKysLBwaHY\ntOypU6cK299//31OnDiBu7s7K1asMOiqqLmDExMTVdWZ4+PjVZWCCwwErVaLu7s71atXF6bt3y/C\nw8PZvn07ixYt4ty5s6xebcdrr0F2tobBg6FQhn2x0Ov1PP3005w6dQoPD48SezSioqLw8vIyatNq\ntDR3ac7MtjM5++pZwqaF8d2A7xjYYCBWZlaE5ofyw40faPtDW7yXePPyrpfZdX0XUfHKY4r4O2qF\nZW1sbIQaTGZmZtSqVQvc3WH+fAgJIWzuXMJsbeUCoW+9JRcFnT6dSEHV4ry8vDIxMky1dpWpGFBF\n8aBTyNVQpZNjWiiN98oUdHJEeJhigFEYF+Qs+lfhURrtAbXyC2oeidatWwvbRQJ/oiriRcegloIe\nExODu7u78FiSJPHOO+8o1XPvIi8vz1CPKSQkhJ49e7J06VLMzMwUSs6hoaH4+PioHictLU3VACo8\n8VevXp3MzExef/114XkXB1tbW7p3786sWbOYNm2acJurV6/y1Vdf0blzZ7p06UzTpit48cVcsrJg\n8GC4V5SkwDDIzc2lW7duXL58WZjqLVK2VkNUVJTBC+dl78UrbV5h16hdhEwO4Zf+v/Bqm1fxtvcm\nMi2SledWMnjjYFY6r6TfL/349vS3hCSHGPoRlRJJSVFWWdFqtUKvW40aNYw9jFZWJA4bxsTOnWWm\ndvfukJoKX3zBWytWkD98OBQSFdRoNCVWUjZVg+FhoKJdi4o23rLAo3jODxqmKgZYqVHSGjpq6rRq\non3169dXtOXl5QnrUYnCDTdu3DB6IJydnRVGQXJysioJWK/XM2bMGBYuXChcX4DCv/bT0tJ48803\nefPNN7lz5w7JycmGvszMzFSFC4ODg5X6LXchSRLt27c3LNvb2+Pm5kZISAgrV64sdmzJyclEREQw\nYcIE/P39iYyM5NChQyxatOhfUbxicPz4cSZPfo2DBxvSo8dtMjPlkk9qoem+ffsapXlnZ2fTtm1b\nkpOT2b17t9H98PT0VFQhLwhtFUZx9anSk9N5ru1zfDvgW0LeDOHcxHP8X/f/o41HG/LNfXrTAAAg\nAElEQVTIw/+mP5N+m0StL2vRYkULtiRs4a+Iv8jXG3tuinJ6CsYugppBrDM3h/794dAhCAyE559H\nD+i2bJHrZ3XuDNu2YabR3LcsAJguJ6fK01A8TJmTUxmg9vyVhRjgo3rviuPkiEtjVyKUJ79AlBVU\no0YNYbuI5Juens61a9eEBOjC24hCEnq9nqCgIAYOHFjsuLt06cKkSZMU7Zs2bSIyMpLVq1fj5+fH\nmDFjVI250NBQvLy8VI/j4+NDv379jNrMzc0xMzMjPDyckJAQHB0dDV6HhIQEgxepevXqeHp68vrr\nr6ueQ0lw504Q4eGNGTo0ga1brenbF37/XV6n1Wrp06cPkydPpl+/foq6U1lZWbRp04ZnnnmGvLw8\nQ30tnU6HJElERUUZCN8eHh7cuXNHDgfdRX5+vtCILbwfyM9XS4+WtHBvwVjfsVg4WeB/w59f//mV\n/bf2cyH6Ahe4wK7fduEa4Er/Bv0ZUH8Aver2UmTxgayZJOISqZGUjUK0rVvDTz8xPT2dSXo9j/3x\nh2wZHj+Oa61aWDduDL17g62tYReRqGHVL+N/UdGMp4o23sqCqnem7FGcJ6d0sYQKCEmSSswNKE2K\nomhyARR8jQKICMVmZmYKT4GVlZVR7SErKyvh5BIcHEydOnWK/VCNGjWKX3/9VXXSO3LkCNu2beOV\nV17hySefZP/+/YptoqOjcXR0VPVUZGZm0rFjR9WsMEdHR2rWrEleXh5Xr14lKCiIatWqGbKtbAtN\novcDMzMzJk2ayIYNVowYIUdjevXS06zZWM6fP8+ePXsUhlhhJCUlsWvXLhYsWGCUVu3i4mLIUiuA\ns7Mz0YUKZZqbmwu9Kvn5+UJielhYGN7e3njYejC+1Xi2PbuN+Lfj8X/OnxcavUCt6rWIzYhlzd9r\nGLZ5GM6fOPN18tcsO7WMoMQgQz86nU5RQw3UJy8RDy3RxoZjAwbIXJ1ly6BOHczu3KGvv7/M23nn\nHbgbPita7qS4Y0Hl0Ml5FCckU+B1PIo6OWVxPFO4dw8Dj3y4SgS1cFVJoWbkqGm+eHt7C9uLEkqd\nnJy4deuWYdnR0VGR/h0dHY23t7fqeHNzc1m1ahXr16+/pwZNgQF04sQJnn/+eXr27GkIVaSnp6PT\n6VQNkezsbGJiYlTT2iVJMpCzHR0dsba2JigoqFRlDkoCHx8fpk2bxqxZs0hKimPx4nD69MkkOVnL\n55/3QZKUQpAixMXFce3aNfbs2WPUvmnTJiNisq2tLdu3bzcyUG1tbYVE8qLIzs7G0tJSERa0NLPk\nMfPHWD18NUFTg7j42kU+fvJjOvl0Il/K50L6BabunUqdZXVosrwJsw7M4nLaZfL0eYpjiEjKIC76\nCrKhiq0tTJkC//xD4sqVnLO2hqQkWLQIfH1h7Fii9u5Vzf4qazyKxkVlQZVOzsNDZbkWZal4/Ejg\nfrkBoguu0WiE7WqpvmqaNCLNmD+LZLxotVqjiSs/P1/oWZEkidDQUFxdXRk/frzweIUxadIknn/+\neaO2gwcP0r59e9544w2io6NVa15lZ2cTFRVlFLYpihYtWhjxaiRJIiIigjFjxvznD6GNjY2C/Bwa\nGsqnn36Kj48PQ4cOZft2P9asyaZfP4iPh5495ZJP90LBvZs3b55Re3Z2tiI7LiYmxogY7ejoSGZm\nphGnyszMTEEkj4+PF2oNFahPF/DCmro1ZXbn2Rx78Rhnnj3DuiHrGNFkBPaW9lyJvcInJz5h5pWZ\ntPNrx/PbnmfTpU0kZclGlhqvSs0bZ2QU6XRk9etHF42G/GPH5PoZej389BMvL19OeocOsGeP3IZs\nlItUniVJuq/3Licnp0yLvP5XVJZJozQwZV5HlU5O8TCFe2dqisdVKISixkQB1Lw+pXm5RB6V/Px8\nofFTNLPF09PTKCwhyvrJzc0lODgYT09PVaJyAZo2bcq2bdv45ptvhBNiVlYWX331FY8//jgLFixQ\nlK7IysoiOjq6WAMnNTWVRYsWGRl9vr6+JCUlsW/fPoUhpwZzc3O6dOnCrFmz8PPz46+//hJqw4B8\nXY4ePcr06dOpXdsTB4cJdOiQQkwM9OgBN28KdwNkgcACBeyzZ8+ydOlSo/UiMu/mzZuNCME1atRg\n3LhxhtCVu7s7ERERRvdKo9EIn7GMjAxhplRsbCwNvBswpsUYNg3bROzMWA6OPci0DtPwtfclITOB\nXy7+wsitI3H91JUea3tw0fYi/8T/o+hLTYRR9Hynp6dz280N/Pzg1i14802yzM2x/esvmdndpAl8\n/z26nBxFQduyQIHH61GCqaSQ3y8qwzmAaZ9HRatY/jAVjx8JlJQbYG5uTl6e0v0vQmmNHBEvJjc3\nVyjiV7Q6ukajISkpyTA2T09PBXk2PDyc2rVrq3qSQA7r/PDDD5w7d05Y6qIo4uLieP/996lTpw4T\nJ07kwoULZGVlERsbq5ppVTD+tLQ0ofJwgYZQUFCQMC1ar9cbSkDUrFmTO3fucOTIERYtWsTw4cNp\n3LhxiX7hZ2Zmsn79Ks6erUWDBuFERsqGTnCw8XY1atRg7dq1zJ8/38homzZtGn5+foBc0kNkWEmS\npFCyPnz4MHPnzjUs165d20gvyMPDg9DQUEVfImMzNzeX3Nxco2fHQmdBj9o9mNVyFldevcK1ydf4\n7KnP6FarG5IkcTj4MBsTN9Lw64Y0/LohM/bN4HDQYXL1uapZV2rGhIHs7OsLX3zB/AkT2NqhA3h7\ny66xiRMxq1sX56++giLE6OzsbMV7V5r3xVQ8OZUZFU1rpQr3xqN67x55I6ekMDMzU6QHq6G0Ro4a\nf0fEkxBNOpmZmYYinAX6KIU5IGqZUSBn+YSGhjJjxgxeeumlYktHFKBwxldqairff/89LVq0YMiQ\nIULhvAIkJiaSlpamqtwM8sQ/fPhw9Ho9oaGhZGdnk5KSQnh4OFFRUXh6euLl5UXDhg2F/ZSm5lNO\nThJ1607jiSdkbm2PHhARocPJyYlZs2Zx/vx5xo4dq9hPkiTGjBnDkSNHGDBggPCXiKWlJc2bN1e0\nr1ixwmCoajQaTp06xezZsw3Lrq6uCsKwiNcSHR0tzKzLzs5GkiSsrKxo6NKQGU/MIGBcALEzY/mm\n+zeMbDISx2qO/BP/D0tOLqHHuh50292N3dV28/OFn4nPMM43UAulFg21ZVWrxhc6Hdy+DevXQ5s2\naOLiGHj2LNSsKaso3w1dXbp0SdFfaVNnq0ITVShrVJbnp6Kdx8MUA3wkUFJuQGncxaU1ckS/1NXK\nJ4hqbWk0GgIDAw3LDg4OpKenG7w7okkyKSmJkJAQnJyc8PHxKdYQKhhjv379+O2331QLge7bt48O\nHToItXmio6ORJEmViFwwziVLlmBhYYGDgwM+Pj5cv36dixcv4uXlhaenp9E9KKnGkQiWlpZMmDCB\nVauW8dtv0K6dRFAQPPusM3/88Q+LFi1SneA1Gg05OTmMGDFClTQ+cuRIYTZdSkoKQUHGWVCLFy82\niDLa2NhgY2NjdG6WlpZCD54IRVPTC2Ceb87wRsPZMGwDMTNjODLuCDOfmEkjl0ak5aVxMPogY7aP\nwe0zN7qs7sLiY4tJNEukZcuWwuOIjO3bt2/LNbFGjYLTp8k7eJCdgJSTAz/+KIex+vUjZds2ttw9\n3wKoZQpW4eFA7fkyBV5HFf5FaUI9j+q9e6SNnNI8IGp6J2r93q91qpbarRZWSExMNFr28vLi2LFj\ngGz0xMbGGtYlJCSQn59PzZo17+n2r1+/Pu+8844h1fpeInx6vZ733nuPIUOGsGrVKlJSUggNDcXG\nxkZooBUgIyODTp06KUpDFNTXKqkAXUk8USB7PC5cuMCXX37J0aO7Wb06klatJIKDLRgxwrlohMUI\nkiTRsGFDkpOTWbBgASEhIUbrbWxs+OCDD4T7enl50bhxY0V74Urx9vb2vPLKK+zcuROQvSkpKSlG\nRoCoen1CQoLQMJMkyajoqpnWjC61uvDJU59wZvwZTo0+xZe9v6RnnZ7oNDqOhRxj9sHZ7PHdw1O7\nn2Kq/1QO3DpAdp7sJdNoNEKxy4SEhH8Nao0GqUsXhgBrZ8+G114DKyvw92f0mjWYT5oEa9fCXc+b\no6Oj8B7f73tU0X7VVuHRRnmKAZoCqhSPHwJKyskprhBiUZSFkaNmfKh5QkQ6J2vXriUuLg47OzvM\nzc0Nhk5mZqawhlYBMjIyCA8PJz4+nkuXLvHRRx/RtGnJUq0LsHPnTiZMmICnpydvvfUWhw4dUk1f\nTkhIICUlRchBsrKyIjEx0TDhF4bo3hU1curXr69aU+v06dMsXryYgQMH8txzfendewkNG+Zy9aqc\ndVVc1YmmTZvSuXNn4uLi6NOnj1Eq/6BBg1TLfUyaNEn4HBUV9MvJyWHcuHEG8rKnpyfHjx83SAh4\neXkZeYRAvq+i5yAsLEzIk5IkiZiYGNrXa8/UDlM5MOYAcW/HsXn4ZkY3HY2TpRNBSUEs+2sZvX7u\nhcunLrx84GV8h/iisVV+dHU6nfBjfCgsTC4GGhoKCxaQZmvL4Lg4GDcOateGjz6ChIRyUUHOy8sr\nseFbhXvDVHkdZTF5moJOTnkaAaZ678obj7yRU9KHKj8/XzX9tijK08hRM05EoZH09HTDxOHg4GAw\ndDQajZC7Eh0dTVhYGFlZWXh5eZXI01OA1q1bCyeT9PR0/Pz8GDx4MO3atVMYK+Hh4Wi1WlXjzdnZ\nGZ1Oh5eXl6Keltr2zz77LF9//TUXLlzg+PHjvPrqq/fc78KFCyxa9BahoQ1xcorm4kXo1UuWgxGh\nQ4cO+Pn5YWlpydWrVxk0aJAhTVwthNWiRQvefPNN4TrRBygpKYlVq1YZLffs2ZPr16+j0Wjw8fEh\nuBBbWsTnAfl5FD27IuPH3tKeYY2HsaDNAmLejuHEiyeY03kOzdyakZaTxp6gPQS1CMLjMw86/tiR\nhUcWcj7qPBISdevWFU4UBk+XszO8+y5fv/UWr5ibo2/aFCIj4d13wceH+l9+ib5IiYrU1FTh9Sop\nsrOzVTWAqvDgUZ6T+P3qm5kyKprHxpTwSBs5Wq2WQ4cOlWhbvV7/QI0cNa+RmoBfnTp1hO2Fw1gO\nDg4kJiYSFBRETEyMgedRkGLu4OCAt7d3sWGlApibm9O5c2fmz59PYGAggYGB9/zFfO7cOYYMGcLW\nrVvJy8sjKCgIFxeXYtPa8/PzmTRpEuPHjyc1NdWoQGVAQIBBXyciIoLw8HBWr17Nxo0bmTx5Ms2a\nNcPV1VWoPaOGjIwgEhJaYWcXzdmz0KcPFE30GjFiBFOnTsXR0ZHs7GxsbGw4fvw4o0ePJj09XZiO\nrdfr+eijj4SeFmtra2bMmCEcT1GeSnBwMM8995xBcNLb25uFCxeSm5uLhYUFFhYWCuFB0Yc+MTER\nBwcH4TMdERGBp6cnOq2Ojj4dWfjkQi68doHgqcHMaz+P3nV7Y64z52TYSd47/B4tv2vJKvtVmA02\nw/+GP1l5xqTkou9CvpkZP+Tmsvndd2H/fvkiZ2QwNDoaTaNGMGQIHD0KksSpU6cUfCS1yusiVJZ0\nc1NJIa9ovI4q4+BfVLR7V1Z4pI0cnU5XKkXW0hCP7xdqfajpmYhCPYBigrewsGDKlCkGz0h0dDRR\nUVH4+vreczJISEggPDyc3r17c/PmTY4ePcrcuXNVK66rYezYsfTq1YudO3cq0t0LIy0tjbCwMF55\n5RXDuXh4eBAcHEx6ejoxMTFERkbi4eFhyLoSXR9ROnpx0GqjmT59N76+cgHu/v0hJ8cCd3d3li5d\nyoYNG4yI2unp6VSrVo3t27czd+5c4Yc1PDycrl27Co83c+ZM1XCgiAN19uxZ9u3bB8jhuW3bttG/\nf3+ys7NxdnYmPz/fiIOVm5urGJOa9k5iYiLW1tZCD55VjhXTO09n7/N7iX87nu3PbmdCqwm427iT\nqk3lnNk5+q3vh/MnzgzeOJhVf68CO2jQoIHw3K5euwZPPQX+/nDpEuvMzcnTaGDnTujaFdq3x/PI\nEbYXISm7uroKq7GLUJVu/t9QXsaBKRhqZYGKeB6mMOayGEOV4nEpoNPp6Ny588MeRqkgmsStra2F\nYSxJkoRpzOfOneP06dO4urpiZ2dHdHS0oeJ4UcTExBi0aQrqSj3xxBPFauHcCxkZGRw+fJhp06bR\noEEDunbtyrJly4yMkaioKDIzM6lVq5bRi6HT6fD19eXUqVOMGDECT0/Pe3rYSppWrtFoaNGiBRs3\nbmTevAkcOgTe3hLHjsHJk3MIDLzCG2+8oSqSaG5uztq1a/n4448V67VarfAF9/X1ZebMmcLxDBky\nxCBCeK9xHzhwwKCy7OzszIULF/j+++8BqFmzJkFBQUYGvehDkZeXR1pamtCzlpSUhJmZmcEwsrWw\nZchjQ1g5aCW3J99mR/8dzO06l9Y1WpORm8Gu67t49bdXYQb80fAP5gfMJzAiEL307xiM0tCbNGGK\nlRWtnJzQv/uuHNo6c4aeP/5Ir0mT4PPP4e4zqtVqSywYWXB9qlA2eFR5HRUJas97x44dH/BIyh5V\niselhFarve/aOqWxKsvLw2NhYSE0cnx9fVU9PAVGjbW1NW3atGHlypVGRRajoqIICwvD0dHRUDBT\nFGpRg6+vL6NHj+bZZ58tdrsCJeKpU6fSuHFjtm3bxp07d3BwcFBN4Qb1GkwiFNdPYUiSxPnz5xkx\nYgTNmjXj008n8c47v1OjhsT580689JITxdlLlpaWaDQa3n33XdasWWNoL4782rx5c2EmnZubG198\n8YVwn4YNG9K7d29F+/r16w3Ps0ajYeLEicybNw+tVkvt2rUJDQ01hH7s7e0VatUxMTFCPlFmZiZZ\nWVnCMGZOTg5xsXEMbjuY+d3nE/hKIGHTwvhuwHf0r98fnV7HjfQbzPtjHm1/aIv3Em925O+AhlC7\ngZKcfTkujtMDB8ok5RUrSHR3xz0rC956Sy4KOn06BAfj5+enePeqQhMyHjQJt7Kgsjw/Fe08qhSP\nyxE6na5cMjpKi/sVNrOyshLq3LRq1UrYt5mZmZHisEaj4fbt27z33nuEhIRw9epVHB0d8fb2vqd+\nDsi/yMPDwxk7diwrVqzg4sWLBAUF8fPPP9OpU6cSn0d4eDifffYZLi4uxZJFs7OzcXNzY/fu3SXu\nuwAWFha0bduWt99+WzV8BLJg3bfffsvkyb2wsRmMjU06e/fKEjBqwtdpaWkMHToUgJdeeun/2Tvv\n8CiqLoz/drPphVRCGiGAoIjSEZCmVAEBpYsUQXoRKQIiCIggIIpSJCAC0otSpUlV6UgXpISQsum9\n7ya78/2x7prN3oFdAT8E3ufh0dyZnbkzc2fuuee85z3s2bMHMJBnPTw8LPZPT08XGg6SJDF58mSh\ngapUKpk3b57wubi4uFg872nTprFhwwYUCgWhoaGMHz+eU6dO4eHhgUKhMAtr2dvbo9VqLY6bnJws\nJIbrdDri4uIsvHpBHkEMrDWQbxp9Q+zIWHb12MWgWoMIcg8iPiees9JZqAej4kbRdl1bvjnzDTGZ\nfys9Z2ZmGtLNBw1i08cf0w64GRJiKB//5ZdQoQLv7NvHsRJG4NWrVy28dnLlWB53PKyJ40nldTwO\neFSf3VMxwIcIWz05/zULWaRlAobMIJFa8I8//ohOp0OSJGJjY2XDPIWFhaYQllqtJjc3l6CgIMLD\nwxk0aJDN6ebFceLECXx9fWnatCnTp083EzkEwwSYkpJCtWrV0Ol0Ft4IOQwbNoyNGzdy48YNTp48\nyciRIy2Kecrh1q2d5OY2QKHIYOtWQ+az3LzZpUsXGjZsiE6no3Pnzpw5cwZXV1eh0F1eXp7QO5aY\nmCirRzR69GjZEFb//v2Fk5uxBAUYBPtatmzJ7t278fHxwdnZmdu3byNJkonrUnKcy3mhoqKiZD2F\nCQkJeHl5UcanDG0rtWVJuyXEvB/D+UHneVXxKoGOgRToCth9czdDdw+l7Pyy5Lydg7K5Eo2v5u+w\nllLJT8Bb/v7w++/w9tugVNIuN5eGY8ZAw4awdSvodGRlZVlk7/n5+Vmk58tBr9c/kR6MpzDgUXj2\nj0IfHjc80UaOnZ2dME4pMmYcHBysLuvwb0PuxZBLyxaFOsBw3Tk5OVSpUgUnJycuXrzIihUrAEPI\nJTY2FrVaTXp6uonoGxQUdFfNHTncjUdTUFDA0aNH+fjjj6lduzY1atRg/vz5REZGotPpTOnyHTp0\nwN7e3qKURPEaV2q1mkqVKrFw4UK6du1KaGioKSVdjsQtxiUkqRVKZS5r1xq07UoOk969e9O5c2ea\nN28OGIyYtm3bEh0dLfSQyD03nU4nNCwCAwNlRQbr16/PpEmThNtKks+zsrLo3bs3UVFRuLm5kZ2d\nTffu3UlPTycsLIw7d+6YGbiihYDIg2NEUlISzs7OuLm5mbUrFAqe83qOBZ0XoA5XEz8mnuXtl/PG\ns2/gau+KvrQefUM97Xe2J2BeAO9sf4fzBefBweBNomZNWL0aIiNZUqoU6QDHjsGbb0LlylTYs4fv\nFy82O6dSqbQoaisHWzOx/muLngeBR5WT828/i0dFJ8cWo+hRfXYPG0+0kaPVaoVFN0UTkoeHB6kC\ndTi5QfkofABFaeiSJNGkSRPh/uXLlzd5YYKCgqhUqRL9+vVj1KhRJCYmEhwcTFBQEKVLl7b65ZIk\nCTc3N+rXr8+QIUMIDw/n7Nmzd61fVRIXLlzg/fff54MPPrAI75QqVQoXFxcyMjIoKCggJibGrMZV\nUFCQrHq0rWUEqlTJYd68Gzg7w7Jl8MEHBkPE39+fBQsWsHLlSjOCsZ2dHcnJybRq1UroTZAbI3L3\ntly5chaGAxi8FStXrhSG+Nzd3RkxYoRFe2pqqimcplQq2bRpE6+++iqxsbGEhYWRmppq0twxCjKW\nhMgQS01Nxd7eXih1oNFoSExMNCk+l3ErQ78a/fix24+kfpDKM6ee4Z0q7xBaKpSk3CRWXlhJeEY4\njIesjlksOLWAyPRICA5mro8PIcChjh0NgoIREVRfvpzvjx7lTo8eUCz7auPGjVbxdx7ldPNHJYX8\nfvFv6+Q8LniqePzP8UQbOTqdjp07d1q0x8XFWbTZ29sL20UffxBn9PzbBpHoxSgqKqJu3brC/Xv0\n6GH2GyPvY8mSJaSlpd01hGVEbm6uSbNGrVbTunVrkpKSOH78OIsXL2bgwIHUqlXL5g+So6MjRUVF\n7N+/38SxMPKp3N3dSU1NJSUlhZCQEIsaV3Kwtg9OTk7Ur1+fwYMH0759KbZuNZRoWrhQRePGR7ly\n5QrDhw+3OJ5Op8Pe3p7bt2/Tt29fq+tPicZDbm6u0FiTJIlJkybJpml//vnnwirpgIUq84ULFxgw\nYABg8BpNmTKFr776Cm9vbyRJMvOYGcOaxaHRaNBqtcIwYEFBAUlJSSbvT0kuXEZqBvsW7eO7Lt8R\n+V4kl4dcZlazWZS3Lw9KSPdKZ+TekZT/ujzPL36e1Jqp5JaFneXLwc2bsGULKZUr4w2U27DBUB29\nd2+4cIGzZ8+aUu6NSEhIsFjMPC6GxIOA3DfpUeV1/Nv4t8fJg5gjntRn90QbOQqFQlg1u6RcvhHF\n1WWNiImJsdwRsaEk8gSB2HNky6C2ZV9XV1fhalWlUvHWW28Jf6PRaEwk2czMTA4cOGASnMvMzESt\nVpsE+QoLC828KJUqVbIxLCSGRqNh27ZttGrVCh8fH9q3b8+2bdtISkoiJiYGBwcHWaVhOVirn1JQ\nUMCJEycYOXIkFSpUYOzYF2jWbCl2dhK//NKYb7/1lf1tYWEhrq6uXLx4kddff90i5Cl6dqIPaGZm\nptB4iIuLk3VDv/feeyajpSTat29Py5YtLdr37dtnMtwLCgoYNWoUQ4YMwdPTEw8PD65fv45WqyUo\nKMjE5TEiJSVF6KErKCggOTmZkJAQYV/UajUuLi4mo0uhUFC1dFUmNJzAOO9x9Enqw/cdv6dLlS54\nOHpwNfkqmVUzoR8sLbWUXjv6srFyEbunf0g94EeVCkmvN4S2atRg4Z9/cnzSJCgWdsvNzWXHjh1m\n/fD09DQrz/EUDx5Pjcin+LfxRBs5gNDFf/v2beG+xrpBxSFnEEVFRVm0yQnfiQytkqt+I6ydFOUg\nZxDVqlVLWDgSoE6dOjRu3JiCggK0Wi27du2ievXqbN++HaVSaaoQHhgYeFf14rshKChIqOkjQmZm\nJjt37uSrr76iQoUKzJ07Fw8PD+F9vBvs7e2xt7fnxRdfpE+fPixcuJCTJ0/e83dXrlxh795B6HQ9\nAT0TJ8LXX8sbmlqtFl9fX44cOcK7775regbOzs7mWjH36KvIGAYxv8nX15cZM2YIx0aVKlUIDw8X\nbqtYsaLFMwwPD2fBggW4uLjg7u5OnTp1uHTpEmFhYURFRZGXlwcYjASRIS8ycIx1x6Kjo/H29hYK\nE+p0Ol588UWWL1hOr2q92NRlE8njkjnY+yAeVz2wy7QjT8pjzaU1dP+hO/2u9eNUH+hUp4g9G7+B\nUaPAzY06WVlMP3eO/PLlDXHGv8qDLFu2zOx8CoWCxMREi3781/AwU8ifVF7H4wBbMl0fJzzxRo7I\nSMnKyrKoLA1i4yc5OdlCRl9u36ioKCF5WWQQibJcQBwek0uRtcUgqlOnjrAdDB4BMFQEDw4Opqio\niKioKAYPHiy89rshIyODuLg4Xn/9daZPn86WLVu4desWsbGxTJgwwaZjgcEYXLRoEZcuXUKpVMoa\nh0bk5+ebQmlDhw4lOjqaixcvsnLlSgYOHGh16Q4D1gMGNeb33lNQrMyUGTw8PNi2bRsA33//vYkg\n7OHhISvCWBK+vr5WZ5KB4VmJ+Dve3t6sX79eSEpXKBTMnDlTOEaM4R6FQsGlS5do1KgRO3bsoFy5\ncuTm5nLz5k1cXV0pKiqyuCa5EiXR0dGUKVNG6OnTaDTExMRQv359s9872DnwamVklbcAACAASURB\nVNirhPwRwo7mO/hz2J/MbTGXJqFNkJAgDGgFbf8YROUKuxmztg8j6pbmthKco6Jg4EAIDSV0xQrO\n79/PwYMHzc67devW/xzPQYSnHhPb8Tg8d3i0n/1TxeP/Ay5dumTR5ujoKPTaiEJQzs7OwmOIQlsO\nDg5cvnzZol1k5OTl5QnPJ5Kzl5v8RFkxcgNEriZWrVq16NKli1mbMcyTkJBAREQEsbGxxMbGWhB5\n09LSTGEs4z97e3sCAwNZvHgxkydPplOnTlSoUEF4bmtRvnx5Nm/ezPHjx4mLi7O4bmM5CrVaTV5e\nnimU1rBhQ7PJ3t7e3iZCtAHLAYMR+O67sH69+VaFQsG0adN4+eWXTWHCWbNmsXDhQptqMNlSDy0r\nK0v4PCVJYuzYsbIes6lTp1o8ayOqVatm9ndOTg59+vQhIiICPz8/Fi1axJAhQ0yGTvGxKyL3b9++\nHR8fH2HIMCcnh+TkZMqVKydbd2vp0qW0adOGyr6VGdtgLEf6HuG7576DLVAxryJeTl7cSL3BF+cX\nsbBNEhU+gOoDvFjbvhypOcmErlxJNKDv3x+uXjUd+9y5c/z8889m58vOzhYaz49Khs2/iSeV1/Ff\ngtz4OXbs2L/cE+tgi+HzKCoetwb+BG4C42X2+fqv7ReBGsXaJwJ/AJeBdcBDSXuQCwGIMm9ENZAc\nHByEYZLiImvF9xUZPyIjR6VScevWLYt2kYcpLS1N+BEW9cHWjJ6ePXtaTETG0EJYWBhhYWH4+/sT\nHBxM1apV+eijj4iKikKtVuPs7GwKYxn/yWU63Q8iIiJYsGABb7zxBnXq1OGNN97gp59+Ii4ujtjY\nWBwdHe8r3V0OCoWC5s2bs3lzI2bMkJAk6NUL/vzTQAIOCQlh3bp1DBs2DDDPRho5ciQ//PCD7HGt\nbRe15eTkCMM/cXFxVK9eXXjsd999l8mTJwu3Pf/888LSE1lZWRw+fNjUjyVLltCsWTO0Wi0+Pj5E\nRkaSkpKCv7+/xbjXarXCsZCdnU1ubq4svyopKQm9Xi8Mm7jZuVHXpS6nJ5wmaVwSR/seZVyDcTjl\nOIETXAxK5+2adyg9Xkm99zz46mUIyotCev55aNMGDhxAASxYsMDsuDqd7h8JT/5TPMor8ccZj8J9\nfxT68LjhYRo5dsBCDIZOFaAH8FyJfdoAFYFnMPj9v/mrvRwwAKgJvPDXsbo/jE6WzDAxQiTSJkdU\nlUtHFUFkKMkRko0pvMUhIjq7u7tz5coVi3YRByg7O5v8vzgJxSEnini3OO7UqVMJDQ0lKiqK06dP\nExcXx6effsrw4cPx9/f/x4RjpVJJhQoVaNeuHePGjZMlrIqQlZXFjh07aNeuHaNGjSI4ONgmw8qW\nVbSDgwMFBQWcP3+eOnV+Zvx4PTodbNrUmbfeWsnFixfp3l08bCVJomfPnpw+ffq++iCCq6urbNhO\n9BF1cnJi/vz5wm0hISFs2LBBqMysUqkswpynT59m8ODBODo6EhwcTI0aNdi7dy8hISGmwqoAzZo1\nIzs72+KY6enp+Pv7C/seGxuLs7OzrKHq5+fHjh078PLyQqVU0Ti0MXNazKHar9VQLlQystJImoU1\nQ6lUcsoriwkt4PlhUPE9eE/aw8+DWjDv2C/47NrFuRLcrOJlOoywRRbgfvGoCBU+qpycJ1UnxxY8\nqs8OHu51P0wjpy5wC7gDFAIbgA4l9mkPrPrr/08BnoA/kPXXb1wA1V//ta7ssI0QhUp0Op0w7VZu\nshV9lEUraRDzE+S8SSKDSPRhVSqVQoNGFO6SC8WJzqXVamWNwJYtW/L2228Dhsmubt26Jj7Lrl27\nWLdu3T35MXq9noSEBFMoq0KFCuzbt4/4+Hhu3brFzp07mTNnzj/2vvwT8caSE8kzzzxD9+7dhcae\nRqPht99+Y+bMmbRq1YoVKwJ55pk96HQqtm7tw5Ur8orKSqUSjUZDnz59+OOPP+7ah3u1l/xAlCpV\nyqbK687OzkJD0MPDg7Vr18oqWE+cONEijAVw6NAhU59iY2N54403mDlzJuXKlSM/P59r167h7e1N\nVlaWhaFzN/6Or6+v8L3S6/Xcvn2b+vXrC99FSZKYMXoGX/X4igO9D5AyLoVpz0+DC0Au3PaCr+tB\ny95QZ2gOOV3h1HtNSPr0Q/gr22rfvn2cOXPG7Lh79uz51yZXvV4ve2+ewoBHwQj8t/EkXrOteJhG\nThBQ3O0Q+1ebNfukAfOAaCAOyAAOPOgOGoXqSuLZZ58Vfixr1qwpPE6NGjUs2uR4JiLCp6gPIM6a\nEXlhQExIFoXRlEqlkNcj8hrJeXckSWL06NGm/gUHBxMdHW364KtUKl566SV0Oh2bN29m9erVFBQU\nmPRzjEZNYmIifn5+plBW3bp1admypYVC7z/F8ePH6d27N5s3b5Y1JIsjMzOT9PR0xo4dy/fff89v\nv/3GwYMHWbp0qeyzL46kpERu3mwLfEt+Prz2mg6BowYw3NuQkBCys7Np3ry5bOZdcYgmVB8fH2Ha\ns7Wk87vVzxo0aBCNGjUS9qV///5MnTpVuO2ll14yO5ckSUyZMoVNmzbh6+vL5s2badq0KXZ2dmg0\nGrOxJ+IopaSkyNYzKygoICoqirCwMGE9r/z8fMaNG8fEiRNNbaWcStG0dFPYBq/8/grH+x1nYsOJ\nvOBXlWxH+KEKDG2jpUzhLOpP8GPt4h4E+8OCheZhrD///JMDByw/S6LFxaPMs7EFTzk5BvzbxsWD\nEAN8Up/dwzRyrL37oqdXARiFIWwVCLgBPR9Mt/5GTk4OtWvXtmgXrdrz8vKE9YRq164tJHmKBPd0\nOp0wi6l8+fLC/vn6WuqvyCmyiiZxucwnkTdIZBA5OTkJ2319fU2lC8Bg1BSX+O/Vqxdubm7odDr+\n/PNPevfuTbVq1Th//rxZunlAQMBDXZ0mJSWxevVqunbtSoUKFZgxY4Yp3dkobmckJMfFxaFUKv+q\nPj6XXr168fLLLxMSEmIqd2EdJGAQsI7cXDtatwYBLx0wcF3Kly9PQkICr732ms2ZamAYD/cSaLwb\n8vPzhWFFtVptVsS1ODp37sySJUtkU9e/+OIL4e8OHToEGLw1R48epWHDhqjVanx8fIiOjiY5ORlf\nX18Lg0+j0QjDx/n5+aSkpBAWFiarLZSenk7nzp2F/QkMDGTxosXUD6nPzGYzuTT0Mq9cfAV+gkpp\n3thLCk4G6Znpd4nYIbDHZzWDl3Zgz43dFBQVoFQqLdLQ7e3t+emnnyzOJZqM/oshj6f4/+Bxeab/\nj+sQV957MFADxeM7IRg8NXfbJ/ivtqbAccBIVvkRaACsLXmSvn37mooEenp6Ur16dZMGh1FVVe7v\nEydO4OfnZzrWkSNHzEJVxfdPT08nOjqa6Ohos+MVJ/ca969duzaNGze2OF9hYSEXLlyw6I/RS1B8\n/6KiInJycjhy5IjZ/sUnNOP+bm5uuLi4WJwvOjra4vcJCQmmFN/i+yclJVn8/pdffuHq1aumyc64\nPSwszKyCu3F/vV5PhQoV+Prrr0lNTWX37t0mwumNGzfo2LEjn3/+uSkl/V7Px/i3JEkEBgbi7+9P\naGgozZs3Jy8vjw8++ABrERsby+TJkzl48CBr1qwB4Nq1a6hUKqvGi5y3TQw9bdpsIjHRi99/d6ZF\ni6YcPWrupVAoFNSrV4/Q0FDCw8O5cuUKTZo0Ye7cuRb329if48ePm4qXFt9euXLle/Zf7vdarRZH\nR0d8fHzM9lcqlRw9etTieAkJCSxduhSVSmVxfBcXF8aPH2/K3jL+3ggPDw8zpeOIiAhef/11bt68\nSdmyZQkODqZPnz58/PHHREVFce3aNZycnHjhhRfIzc01hYuM59u+fTtlypQxkZSL9yc5OZnjx49T\nqlQpAgMDLbarVCo+/vhjEhISePbZZ03b8+Pz4QzM/nA5jq6O/H7+J66rd/GzQxSJaRB+fAfh8Ttw\nUTjiVuBOyqU0Lt2+xIvlX+TIkSOkp6ezadMmBgwYYHY+tVptqqFV/Hn4+flZPC+jerU170dKSorJ\niDNuf/nll1EqlcLn7+Pjc1/nK457/V403lJTU+nUqZNV55Mb73Ln++WXX3BwcLjn/bnb+e73/ojO\nZ8v9saW/tp7P2HY/98eW52Ftf+W+X6LnUVhYSM2aNTly5IiJJydXJPjfgAqIwOCNccAQARcRj3f/\n9f/1ACPbrzpwBXDG4OlZBQwTnEO6H8TGxgrb9Hq9RbtarbZo02g0UmJiokV7TEyM8HyiYxQVFUnR\n0dEW7adPnxb2Y/369RZtZ86ckfbt22fR/uGHH1q0RUZGSl9//bVF+9SpUy3acnJyhOfbs2ePRZsk\nSZKzs7O0f/9+SZIk6datW5JOp5O+Nqjkmf7NmDFDio+PlwoLC4XHyMzMlNRqtdm/O3fuWNyL/fv3\nmx3Xmn+Ojo7SwoULhee9F4YMGXLP4wcFBUmDBg2Szpw5I0mSJBUUSFLLlpIEkhQUJEnOzlUkQPL2\n9pZWrlwpSZIkLVq0yOwYnTt3Fo4HSRKPH7l2UVt6erqUk5Pzj38vSfJje/z48dK2bdvM2rRarem6\n3nzzTUmn00mSJEkzZswwu+bjx49LkiRJHh4eEiCNHDlS0ul0UlJSkhQREWE6b8m+i95fSZKkhIQE\nKTMzU7jN+LusrCzhtrZt20r9+vUza/vjjz8kPwXSwECkj15zkmoMQmKq+b/aS2tLUw9PlfZf2S+h\nQLp27ZrZMWbNmmUx5uPj4yWtVivsX0nY8uzz8/Ol1NRUi/a4uDirj2HLvrb07WEdNy0tTcrPz7+v\nYzwK12HLvv/2+R7mvRTNdaJ7rNFopJSUFIt27hI5epjhqiJgOLAPuApsBK5h8OUP+muf3cBtDATl\ncGDoX+0XgO+Bs4DR2b/0QXYuNTUVb29vi9UJWMY/i4qKhK755ORkIX9E5DqXJEnoqktISBCmywYF\nBQmPU6tWLYu2goICYRhMLg1X5JWQ49+IuD5yvKAmTZrQokULwBCCi4uLM/t9cHAwAwYMwNfXl1q1\natGvXz/27NljxtNRKBQWaeehoaEPJAau0WgYN24cPXv25LfffrPptyJl4pK8K7VazbJlyxgyZAjj\nx4/n5Mmj/PijRKNGhnqRGs1uevWayLlz5+jTp4/wPFu2bGHGjBk2FQ+19t54enr+o5CYEXL6O2Co\ne9ahQ8m8AgNatmxpKl5aEkFBQRZhsa+//pr58+fj5+fHnj176NatG3Z2duTm5lrUzyqJ3NxcVCoV\nHh4eFtskSSIyMhIfHx8hgVmSJNq0acM333xjsS1ZgmsVGvHJllTO1VhC7LbyhO+EdtfBqRDOxp1l\n6tGptNzSEt6Hbmu6seP6DvIKDeHR5ORki/pZfn5+nDp1yuJc9zvWi4qKHloY+EnldfyXIDd+Tpw4\n8S/3xBL/D6L0w9bJ2QNUxpAmPuuvtvC//hkx/K/t1YBzxdrnAM9jSCHvgyHb6oGhoKBAyEUQPYTk\n5GTZtFZrIWcQyZ1T1Jafny/MNAoJCRHWNZIrzCjKEhNxHkDM9ZFT6W3cuLHp/xUKBcHBwaZ+OTg4\n8Nlnn5GamoparSY5OZkVK1bQrl07PvnkE7y9vQkMDJTNSrMWosrYxZGfn8+6deto1KgRPXr0kE3f\nLwlHR0dq1KjBsGHDWLFiBTdu3BCm7ev1es6ePcucOXNo2rQptWo9R40ak6laNQ+9PpTTp2fi7Bwq\nex6FQsHSpUsZNWqUVf2Sg8igNh7/n0KuSGhCQoLsWGvUqBHr1q0TPleVSsXXX38tNLr37t1r2mfT\npk28/PLLxMTEUKpUKaKiosjOzsbHx8eCv5OZmSmbjRcZGUnZsmWFBOaioiIiIyMZMmSIUCrC3d2d\nOXPmgIsLDBpE0O83yS31Ku+vh9Q5sGstDPpdQaDWCTzgkv0lOmzogM8cH9qua8tFh4us2rrK7JgK\nhYJff/1V2JeSkHueIuh0OuF7YMsxnkQ8LplKcs/5cXn+tl7HE694XDxeKQfJhurEer1euGItKioS\nZn/Y8mLJZcKIjgtiQrNGoxGm/YqyvgChIShXb8nIfRBh9uzZNGvWjDJlypiRp/V6PeHh4SxcuFD2\ntyJIkmTiMwwfPpwlS5Zw4sQJmjRpYvUxNmzYwJQpU4TbMjMzzZSa58yZw8mTJxk/fjwtWrSgYsWK\nVp3j+vXrfP31DNLT6/HMM3lcvw4tWpgyk4XXpVAo+Pbbb1mxYoXZtgehDGrtB0KpVFp4Svz8/ISk\ndb1eL5xUMzIyWL16tdDoUCqVLFiwgDfffFN4/pIZi5GRkXTu3BmNRkNoaCjt2rXj559/xs/Pjzt3\n7piMcWdnZ6H+jlqtpmzZskIPR0FBAWq1mvLlywvvm06nY9WqVdSrV6/4BXAxJIRmwIUvFtC2bk+W\n7LEjdmYB55bAu4cV1HV+hoKiAnbf3M1Bp4NsDtlM9SXVmXxoMqdiT6GX9OzZs8fifNevX7dok6tz\nJnqeD9OTc79aKw9rov23J/D/osHwqOrk/NcVjx8biAb1gyiMKUJOTs59KwPLGVtubm5mZGsjnnnm\nGeFx5CYoEUQrZDCEK9577z2USiWSJFGmTBmLj3BhYSGXLl0ShsfAEF4sbnRUrlyZmJgYDh8+zIIF\nCxg0aBD16tWz+SUoXsYhOTkZtVpNbGwsdnZ2ZiEzd3d3HBwcCAkJISAgwJQOby3U6su89dZKKlc2\nZFu1bQtyCVv169cHDCrExUMcD+LDaq3XsHTp0hYGjUqlsroMBRiMh9BQsddq3rx5DB48WLitWrVq\nwjpmd+7cMYWXjfo706ZNIzQ0lJSUFJKSkvDy8iIzM9OURVey/yVhzNCS62dmZiZ+fn688cYbwu1d\nu3alwfDhsGYNREaSN3w4YQmw7KjEqfE3id8cynLXt6ikKQ9auJh4kRm/zqDe8noEfRnEr96/Ev5L\nONmavw2zixcvWnhLvby8hONNzii7l0fzccTj4ol5EvEwjcYn1sgxFkcsyckR3Ww/Pz+rSyQolUoh\nv8WWFzArK0vIKbDlGElJScIQm9wxiqeAG6HT6YR6P3IhJTnjZ+jQoSgUCkqXLo2DgwOxsbFmLvlW\nrVoxduxYrly5QkBAAG3btmXVqlVmXB1XV1cLns6DiDFPnjyZjh07sn//fjw8PAgKCiI4OPiu2VTG\nyutBQSVln8Tw8vJiypQpfPTRQA4cgNBQOHkSOnSAwkJzY8/Z2ZlZs2bh4eGBXq+nY8eO/P777/d1\njf8ERoO0JKwdg8asLRFatWolWz/r2Wef5ccffxSGXx0dHS3CYrNmzeKrr74iMDCQQ4cOMWLECJPQ\nYPF3Vu4jmpycLMtdS09PR6PRyHo5q1WrxpIlS/5uCA4md/JkgoHlL74IYWGU+SOKfuPWcf7LOKbN\ngbH27zC8znBCS4WSlJsENWDw4cH4zvWl1ZpWLDi1gKTCJIv6WQqFwkI0Uu66bKlzJge5398vJ+dx\nMUT+i9fxpPKpnlgjx93d3WrtE3t7+3+knlsSog+HqM3Ozu6BxOVtcVmLDJTs7GyhVorcR180qdnZ\n2ZnIyGDwJAUHB5tWmrVr12bOnDlERUWRkpKCRqNh9+7d9O3bl+HDh+Pu7k5gYKCsl8ga3Kuy+Pbt\n23n33XfZv3+/UBdIDiIRvuJ45plnmD59Ojdu3GDatGmoVCqCg+HAAShTBg4dguXLW2JUcqhUqRLb\nt2+ncePGeHp6AgZvSMuWLbl9+7YsOdwWyJHiRbifiTI/P1/ojUxNTaVKlSrCZ1K+fHm2bt0qqxv1\n0UcfCT2OmzZtAgzv6cKFC2nYsCF5eXm4uLgQFRWFVqvF19fXoiSKXq+XDfWmpaWh0+lkeXRqtZqB\nAwcKjTGdkxMvLFsGN2/Cli3QoAEuBQVMKYLPpnzPgg2ZRDbZysVBF+EA+OX7UagrZH/EfkbuHclc\n7VwGXhzIhAMTOBZ9DJ3e4D07e/assJ8l4e3tfc+x+U/xXwzTPA6wVQX9Kf7GE2vkGFGSk+Pl5SUM\nmYgGk6+vr7ACuGhff39/EhMTrdpXFCqwFbYM/vz8fKERoVAohIaSyOsDCL1PwcHBsqTm5557js2b\nN1O6dGk8PT0tXOzbtm1j6VL5pDo5PpWHhwdNmzZlzJgxbNy40URivRtiYmIYM2YMubm5jBgxQmhk\nFkdmZqbFPXZ3d6dt27a0bt0agJs3bzJjxgw6duzIlClT+OWXX5AkiYoVYf9+8PKCy5fD8PD4gblz\n53H+/HmTQVj82GlpabRo0YKTJ08Kje2HNfFYO4ZERrmHh4cwk6ugoAAXFxeLZ5ebm8t3331n0qwp\niaFDhzJp0iThtpJG0fnz53nzzTexs7MjNDSU4cOHc+XKFfz8/IiMjDQZiwqFQhh+02q1FBQUCMU4\nwWDgeHl5CY24oqIiZs+ebRADtbODTp3g2DG+7tGDzQoFSkmC1atR1KzJCz3f57Xf4MXTVUkal8T3\nHb+nS5UuOOJIuiqd2cdm03BFQ/w/96fX1l5svbGVzALzMNbVq1ctnr9RSfph4G617J7i4eFBLEQe\nVU7Ow8YTbeRotVqL7CEXFxfZNNuSA8rR0dGqcgFg+PCIPqi2hARsGei2ZNfIEZrlIDKI9Hq9kHgs\ntxK2s7Nj0aJFlCtXjsLCQtzd3YWr4sDAQH7++WfZtHWdTmcKaanVambNmkV8fDyHDx/m888/p2vX\nrrKTVUmo1Wqys7NZuHAhM2fOvOf+er2eZ555hqFDh7JlyxaioqLYtWuXiVMDhjF27NgxPvnkE5o0\naUKlSpUYO3YsqalHWLUqERcXPVlZ7YmIGI2zs9gYBLh9+zYTJkzgxx9/tOpaHgSsHZsio9zWlWd6\nerqwPAoYSkgsWLBA+Fs/Pz8++ugji/aLFy+ajNtLly7xyiuvsHHjRsqVK0dsbCzZ2dkoFApUKpVF\nun5ycrIsiT4uLg4vLy+h4a7T6cjPz2fkyJEW26IDA/mpd28Ut27BqFHg5obi0CF2A9+dOYPv2q30\nqtSZTV028ZHDR9ittWNYrWFU8KpAan4qay6t4cpzV/Cd68urq17lyxNfcjP1JpmZmcIwli18sacw\n4KmX6uHj/3GPn2gjx8vLy5AWWgLnzp2zaPP29uZkicrEIHYXu7m5We0NsiV+7u7ublPhRRFsGWS2\nGErJycnCMIOc8dSmTRteeeUVwJDSnpGRYXEvp0+fTo8ePfjggw8IDQ1lyJAhnDhxwlSKYfPmzSQl\nJREQEEBgYCBBQUHUrl1b1nN0L+Tl5TFsmEFzcuPGjcJ99Ho9arWanJwcMjIy2Lt3L59++imdOnUS\nGmklcevWLebNm8err77K+vXvs2pVGo6OsGQJFCuvZAGlUklERATDhg2zMKzvlxQvB2uP8U9c6SW5\ncHL7VqlShUWLFgnDWx4eHqxZs0bW+1PcUMnJyaF///7s3LmTsmXLcvbsWcLDwylTpoyp/IMRcry6\njIwMXF1dheNLkiTu3LkjG2orU6aMwXAOC4Mvv4SYGPSzZxMDlM3JgYEDDWStqVPxyC1Ad1PHsArD\nuDniJteGXWNui7moYlXo9XoO3znM6P2jqbSwElOSpzDu53EcuXOEQt3fXj5RhpaIjG0rnlRex+OA\nJ/XZPdFGjkKh4M8//7RoP3funMVHzsnJSWjkiLRSPDw8uCQoWCQyiPz8/IiKirJoF3mIjGTpkhBN\nEB4eHvdtENkyUcpldMhlibVt29bsb39/fzODaPz48fTr1w+9Xk9RURHJycksWbKERo0asWDBAgID\nA/Hz8yMgIOCBxqWNH4K8vDxiYmKIiYlBr9dTWFhITEwM8fHxJoPKWHvKzs7OZHhZG2aUJIn169fz\n3Xe92bIFVCqYPRtmzRLvX7FiRdzd3UlNTaVVq1Zmho3IoJZL8xfh/x3Xl5NoyM3NpUqVKkKul4uL\nCytXrqRly5bCY/bs2dOifpxOp2PRokWAwZM4ePBgevXqZcogNBbWLFOmjPCdzM3NlRVDjIyMvGsN\nrT59+ph7hzw9YexYXnBxIfHLL6FmTUhOhmnTGDp7NksB/9RUFAoFz/o+y9gGY3H/wZ3p7tNZ9+Y6\n3nrhLbycvEgsSmRv1l5eWfUKpT8vTY8ferD20lrO/mHJ3zGWWCmJ+/UEPy54nK/tScYTbeQAwti1\nTqfj4sWLFu03btywaIuOjhYeQ/SRFFUntre3F7qW5Qiwon1FxpMtXh+VSnVPDooRcvwdOciRfqtU\nqSL7mxkzZvDZZ5/h5eXF2bNnzfqm0+mYPXs2Bw4csErjqCRKlSpFu3btmD9/Pq+//rrsfmq1GhcX\nF4KDg4mIiODIkSOEhIQIlajd3d1N2Vaenp7Ciu5yeOmll2jXDlavBoUCPvwQ/pqHTfDz8yM8PJzx\n48cDBi9I8RTr27dvWxxXjnhqy4T2MODi4kJubq7Zs5ObXDIyMoQSBpIkMWPGDNm07oYNG5qMmZIo\nOXbXrFlD//798fLywtfXl8WLF5OdnU1AQICsUVAS8fHxBAcHC8d6fn4+ubm5QtkGgBGjR+M/ahSc\nPQtHjkD79tjpdAwAvBs1gjZt4OBB+OsZ6XP19HihB2vfXEvSuCTG+Y6jfEJ5nvV9loyCDDZc2cDb\nW99mkesiGq9ozJxjc7iWfA1JkoiPjxeG4m3h/xUPxT5KeKqTc288Cpycx1Hx+JGHaEJSqVQWmRgg\nNlJUKpXQ+BGlnMtpwIgk/EWCZiD+IGVkZAivIzo62qJN5Ia3hUB9N2l/a5Gbmysb2unZsycffvgh\nACkpKdSpU8diYjISnK0pfZCWloZGo2HSpEn89NNPxMfHs3PnTt577727pokXFhYyYsQIFAoFLi4u\nbN++nfnz59/1XMnJySQmJspOaMXx8ssvs23bNj7++GMAunc3hKwAhg+HnJw3UCqVdO/enRMnTtC0\naVOzzKI5c+aY0pdFoQnR+IMHE7KwFqLx4+npKfRG2jJpxMbGyhqotWvXr0k6lwAAIABJREFUZvPm\nzcIxqlKphHyZtWvXcu7cORwcHNi9ezcNGjQgIiKCkJAQIiMjTV4xFxcXYd/1er1QJVmv15OQkCDL\n74mJiflbjFKhgCZNYPt2lr7/Pidr1ABnZ9izB5o3hxo16KbR4FksVKZSqqjkWAnfc75cG3aNmyNu\n8mWrL2kW1gwk+DX6V8YfGE+VxVWouKAiGzM38s2+b9DqzL3EogWZHHH5UfZ2PMp9ewp52Prcnioe\n2wi5VbfoYyYyUpRKpdBAEHlRbMl4kHvwIvKyk5OT0MNjrHpcHElJSRap83IcBNFgcnNzkzXArIWc\noWRnZ8f06dNN1x4cHExUVJRZRpGbmxvff/+9SfG4a9eubNu2zdT/nJwcU+hIrVbj5OREvXr1mDFj\nBm3atBEqOMvh6NGj5OXlUapUKQoKCli9erXsvmlpaTg5ORESEnJPITaFQkFmZibbtm1j4cKFnDt3\nDkmSGDgQ5s41Hu9z5sy5yfr164VaRQDDhg1j27ZtXLt2zWKbRqMRGsT3m7VnywdGoVDIpr1by8kR\nQalUCr0mnp6erF+/Xlbi4NNPP6VZs2bCbcUN5j/++IN27doRGxtLWFgYN27c4Pz583h5eZGXl2fx\n/sj1PTY2VrZCclpaGqVKlRKmsGvLlaPsrl0QHQ0zZoC/P1y8yDd5eQyYOdMQ0yzmqTN6Oit6V2RU\nvVEc6H2A8lvKM6f2HHpX642viy+302/zU+pPfPjnh/jO8aXzps6surCKpNwkIiIiLPogR1wW1Xz7\nL3o17hf/RYPqUebkWDuGnioe/wPIfYRFqbpyGT4ivR2RIaDRaKwWCpTzMshxXETHEBlfnp6ewsFu\n7eRnDDfcD+Q4GDVr1jQjbiqVSsqVK2dKY/fz82PVqlV06NABhUJBfn4+mzdv5o033qBOnTrs378f\nnU5nCh0FBQX9YxIyGDx3Xbt2NRV9lBONA4OIX1pamsXL+vzzzzN69Gj2799v6oskSVy5coWVK1cy\nYsQIatWqRZkyZXjttdfIzv6Yd99NQJLs+PDD8pTQhDODXq+nR48enD592oLD5erqyq1btyx+I5q8\nrA1V3g2i56lUKoXHfhgThCRJVKpUSbbcxvjx4xk3bpxwW4MGDSxSo+/cucPnn38OGDxATZs2ZcOG\nDQQEBJCXl2dW80wua9LOzk54rRqNhvz8fJMWUsnftWnTxuD98fWFSZMgKgpWrOCGoyNOaWmGmGZI\nCAwfjkdSkthrVaSinkc9VnVcRcKYBI71O0an0p3w0/uRrc3mh2s/0Hd7X8p8Xoa56XOZ+etMLiVe\nMo3fgoICi7pgIP7W/Rcn/Kd4cvDEGzlyKc4i97McRMaP6GNQVFQkDBfIeUxEEKVD5+XlCSdgOUVm\nkfdKRMAuLCy0MMrutybS3Y4hZ5AolUpCQ0PZv3+/aYVd8hrOnTvH8OHD7zuUVjKN+aeffqJJkyYk\nJyfzzjvvEBkZKfTIOTs7ExISwp07d3BwcGDChAmcPXuWy5cvM2/ePFq0aHHXySApKYm9e/cyffp0\nvv02AH//TWi10LGjhNwCrE2bNhQUFPDnn3+aBPGMUCqVQm+kKDSRlpb2QIQGS0KuXpskSUI+Vckx\n5OzsLHy3RPcxPj5eVoG6W7dufPLJJ7L6VeHh4ULPUHFeXFZWFr169WLTpk2ULl0aOzs7zp8/DxiI\nyiVDw1qtVvYbkpCQINvXmJgYywwtR0fo25cfpkyBffugVSvIy4NFi+jy0UfMu30bfv3VxNsxwrg4\nsFPa0SCkAb0Ce9E1tSuR70Wy8LWFtK7YGns7exLtE5l0aBLVllSj3FflGPbTMC7mXeTClQsW/ROF\n3uSM5CfRw/Mo41Hg5Pw/8NTIkTFyRJwRW0IdImPG3t5eyJUQfcjllFhFfA9nZ2fhdcjxXkQfJdEK\n39XVVZglZm39I3gwmRvu7u5s3ryZ6tWr4+DgIMtxkCsjcDcoFApq167NpEmTOHv2LDt27LDY5/r1\n62zdupXz589Trlw5UlNTzYxYSZJMWj0uLi5MmDCByZMnExAQQHx8PGq1msTERJs++omJ3YEV5OUp\naNNG4kKJ+aZWrVr88MMPtG/fHp1Ox3vvvWfBGRMZLiIjx5j+LGq/X1irsOzk5GSREebt7S3LYxNB\nZKikpqby7rvvCt8nDw8P1q9fT9WqVYXHa9eundnfRUVFjB49Gq1Wi6enJ1988QVjxozBzs6O0qVL\nm91bR0dHYYZbdna2rCGemZmJu7u78J6lpqYycNAgaNkS9u6Fy5ehXz/0dnbUiIqCxo3hpZdgwwYo\nKkKv15vVZTNCr9dTzrMcw+oOY0/PPaR+kMrzl5+nf43++Lv6E50ZzeKzixl3YRydTnei44aOfHvu\nW+KzDYsK0ThJSUmxWi/sqeHzFP82nngjRzQx6nQ6odtbziASeSBEhoRKpRIaOSL+jlwZCZECcZky\nZYQfRrnwiqi/ovCas7OzkNfzIMJVtrSPGTOGOnXqmP4WcT1CQkIIDw+nd+/evP/++7LxZ2OWiVqt\npnfv3ty6dYszZ84wY8YMatWqddc+T58+nblz5xIYGGjyfhiP5e/vT3BwsKlemIuLi6nOVlBQEDqd\nzkZviQQMwMfnCJmZClq2hLg4Q82wSpUqsWbNGpycnFi/fj2urq6kpaXx2muvmXlvREauSHVbpVIJ\nn7MtEgS2evJKcnLc3Nzue1yJkJ+fL6y1ptfrCQ8PN2k1lUSnTp3o3bu3RbtarTYRve3s7Pjiiy8Y\nNmwYTk5OBAUFcf36ddO76+DgYLHYyc7OFoapwJBAILcwyc3NNc80q1oVli9n09y55I0ZAz4+cOYM\n9OgBFSowTKMhVHCeku++m4MbngmeLG23lLgxcZx+9zRTGk+hknsltJKW7de3M2DnAAK/CKTOsjos\nOraIc/HnzJ63k5OTkBdmbdmcp/h38Chzch4mnngjR2TMeHl5UalSJav2lSRJWAhTtHK0s7MTGhPF\n4/tG2DLByNWokqusLDLW5Lwoor6JMs9sgS0x/OzsbIvQhkKhMCOX1q5dm4MHD9KgQQPi4+OZP38+\nL7/8Mk2bNuXw4cPk5uaaqovHxcVRunRpgoKCaN26tax4mxyMZSZCQkI4deoUPj4+BAcH37VO2J07\nd/Dy8rK6lphSqaRZs2YsX76UqKiGtGxpkFD55JPGvPHGKH777TeTAJ6Li4tJQ+fSpUt07NgRjUZD\nYWGh0EMhZ0iI+Du2pMLfL+zt7e+7FIEtoohly5ale/fuwm316tXj22+/Ff62YsWKFvIHS5YsYfv2\n7ahUKjw9PWnbti1paWn4+/uTlpZmZug4OjoKPbfJycnC7wgYnoPIKwNQu21bXD7/3EBSXrIEKlWC\n6GhGxcSgDA2FMWMMnJ6/IPIEOzo6GsjcCiV1guow7ZVpfPfSd4xRjGFJ2yW0q9QOJ5UTZ+POcll5\nmVpLaxH8ZTADdw5k5/WdaCWt1ZIZkiRZneTwFI8fnioe/8vQ6/W88847Fu116tQRfuCqVatm0SZJ\nkrBd9DFRKBTC44q0K5KTk60O9cgNHFEtKa1WK5zY5QjNoolHLt3c2vRkW40cuUwsgK5du7JhwwZc\nXFxQq9VmJNCjR4/SsmVLdu3aZaouHhQUZFPh0pKIiIjgrbfe4vr16zg6Ot6Tu1VYWIijo6NNoU4n\nJyeys7M5fvw4K1YsYcyYY9SqVUBamiuXL3+JTmc+tlQqFeXLl6dMmTIcOXKE3r17ExYWJnz+clwv\nkdaOKDSh0+mERFsR7vacSxquRUVFVvPgRLWyfHx8hNpAoj7k5+fLhozKli3L2rVrZb0tM2fOFI6f\nw4cPm873888/06ZNGzIyMggODiYjI8O0aPHx8RGS/AsLC2XLpeh0OuGiKS8v728BTRcXGDQIrl2D\nnTuJq1wZsrPhiy+gQgXo3h3PGzcICQmxOI6cKrmvgy+Dag9iZ4+dpH6Qys4eO6noVZEg9yDisuNY\ndm4Z7Te0p97Weky6OoklZ5cQk/n3Aki0GFIoFMLrf0pefvh4ysl5ApGfny/02IgqHWs0Gl566SWL\n9qpVqwo/zmFhYRZtkiQJXeciQ6KoqEjoRRF5gmzhwxiLFpaESHRNDiI3dKlSpYSpqLZUvbYVPXv2\nZM2aNVSoUMGUTVWSG1BUVCRcZdqCgIAAqlevbvp7/fr1purpIoOvOOzt7bGzsyM2NtZ03UqlkqpV\nq/LOO+/QrVs3i9/k5eVx+vRpli9fzogRI2jVqiEREc/i4XGLW7egYcN8Ss7nSUlJ7NmzB3d3dzZt\n2sScOXOE91k0tkEsPikKYYH8Cv1+oNVqZUnKJeHj42Pxbjg6OlrtCUpPTxeOd61Wy5gxY2S9ex9+\n+CFdunQRbiv5m1OnTpkEGwMDA1m+fLlJYNTHx8fqavdxcXGyJOW0tDTL61AqKWrdmvyffoLff4ee\nPQ0aPBs30uSDD3h9zhzYuhWKGapyHqTihqCLvQvtKrWjblJdYt6P4dzAc0xvOp26QXXR6DRc0Vxh\nyE9DKDu/LDXCazD50GRORJ9AL5l7bRwdHYUGtVzm6oMoQ/MUTzaeaCMHDKv9kpAjMIoMF7m6OaJQ\ngUajESr9ilZwzs7OwpWQaBVky8vt4uIivD45ATuR5ouIUOni4iLkGz2MrB0wrD579OhhMTGWNKrq\n1KlD/fr1OXTokE33KTQ0lP79+7Np0yZu375No0aNzLbn5uayceNGKlasyKJFi+56bCMPok+fPixa\ntIjjx49z9uxZvvvuOxo3bmxVfzIyosjKqg9cIyLCmbJlr7BixRbT9rS0NF588UW2bduGvb09y5cv\n54svvrA4TvPmzYXHl1PtLhneUqlUREZGWuxr6wRTkpNTWFgoXCyIxqotCt22ICkpSVaTqHv37nzy\nySfCbZUqVaJv374W7Vu2bDHdF7VaTevWrTl37hxubm44OTmZ8aOcnZ1l07NFC4WCggJZon1CQoLB\n6KpZE9asgchI+OADCl1ccL94Ed58EypXhoULITdXlsgvCpEZC5vWCKjB5CaTOfXuKX7t8Csd6EDH\nZzviau/KhYQLzPh1Bkt0SwiYF0C/7f348dqPZGsMCzRRarqIK+bu7m61JtdTT9C98Shwcp4qHj/C\nkNN2ERkBWq2W5557zqK9XLlywrCQaFWpVCqF5ON7eQ6KwxYvilzMXxRmkcukEK3GRAaRKNwgB7n+\n+vv7y4bYjOjevTv79+/Hzc2NZs2aUbVqVebMmSPkO2VkZKBWq8nPz+fXX3/l9u3bfPvtt3Tp0uWu\nZSwyMzMZPnw4o0aNMutzfHy8iQNUVFREcHAwixcvZujQobz00ktkZWWhVqtlK96LkQK0AO6Qm1uV\nfv18uH7d4KVSqVQoFApeffVVVq1aBcDYsWNZt26d6ddZWVmylb5FhFelUiksbyLi74hCRbYYPnKe\nHDncz8dSTqRQrgSJvb29bJFQNzc3vv32W9nQYPF+JiQk0KtXL/Ly8vD09MTe3p4ffvgBMNz/lJQU\nq+9ZSkrKXZW1ze5PcDDMns2d336Dr74yFAmNiIARIyAkhHbHjoHAOyf6JohCW37Ofrzs8jJbu20l\n5YMU9vbcy7A6w3AtciUpN4kVF1bQaVMnfOf60mV7FzZEbuBOxh2zY4iyO93c3Gyqpv7Uk/PfhC1F\nquGp4rHNKMkNyMjIuG+tlZSUFKELWC5UIFJF1el0Qv6ESPtEjqRsy2CQyxwT9UEu80vEyREZRG5u\nbvedeaFUKoVaK05OTqhUKiZOnMjcuXPNuBVXr15l/Pjx1KpVy6yauVqtRqVSERQUxDPPPEPDhg1l\nJzw5rFq1itjYWDNyc3BwMIGBgUJ+h5+fn6nWlW1QA81RqZKBVxg3LhRJsqNatWqmia1Hjx5MnjwZ\ngL59+3Lw4EHg7iU5iofjjFAoFMKQqaiMiWh1LpdGDZbvnfF89wPR752cnCyM79KlS9vEC3F2dhZO\n7gqFgq+++srCy2eEKDvr6tWr/Pjjj4BBmPOtt94yVbwPDQ218JLZKreQlpYmy7FxKV0aRo6Emzdh\nyxaoXx/S03lx924oVw769IG/jFqNRkPZsmUtjiHneTR+P5xUTrSq2IqFbRbSI7EHl4dcZuarM2kQ\n0oBCXSGHYw6ztWArYV+FUXVxVSYcmMCx6GPExIr5OyLyu4gTZmdnJ2x/6uH5G48DJ+ep4rGNeBAC\ndrbsL7dSFWVtabVaofEjWoGKJiK5PshBblIXTYpyRo7IcBGFQVxcXIQGkS36O3JwcHBgxYoVfPrp\np/j7+xMbG2vhCr916xZTp041pXcHBQXdtY6VNcjMzKRVq1bs3buXwMBAq8nN1obz7OzseOGFF5gw\nYQK//LKCc+d88faGnTshMnIaI0aMMtt/wIABvP/++xQWFvLGG29w8uRJWY+UXq+XLXYpuv8i7pWI\nZyG3Ev83V9wirR07OzurM3yysrKEXhqALl26CBMXAOrWrcvEiROF24q/J1qtlv79+3P27FkUCgVl\ny5blzJkzpu2lSpUSvt9y70V+fr5QIqKwsPBvr7OdHXTqBMePw/HjZLVsaeDofP89VK8OzZvjffIk\nZQQLHzl+kIjn5+XpRdXSVZnYaCLH+h0jcWwii5ovonJRZdwd3Pkj+Q9mH5tNwxUN+SjzI3pv7c2m\nPzaRWfD3Qk5kPIvC4raEtp7iycITbeSAJTfgQXgZbIEkScKPqL+/v/BjJZqocnJyHgr3RZIkoYdH\nLrtGJNxmrTFjPJ8t7SWfHcCoUaN4++23USgU2NvbExwcLFSJfuWVV+5rlWdvb2+hsXL16lUGDBhA\n7dq1+flu9RiKQS6lu2TfdDodly9f5ptvvmHKlCmsXj2e8eMP4+qqJz29NYcPdzETvI2MjKRPnz50\n796d7OxsOnToIDsJeHt7C3kZer1eOHmJiMcREREWz0mpVAqNHJFOzqO64s7JyRG+n+np6TRq1EjY\n74CAAFauXCkM9bq6utK6dWuzttzcXGbPng0Ywo779+83GUju7u5otVqL90j0Tuj1etn7mJiYKPQu\n6+rWJW/VKrh1C957D9zc4OBBqk+ahOKFF2DZMijmCROR+JVKpdDrUzKTy8/Vj27PdqObshspH6Rw\noNcBRr00igpeFchX5LP60mq6bemG71xfmn3fjC9PfMmlWEsxUpF3R6lUWq0m/6TiUeDk/D/wRBs5\nchwbuVo01sKWfdPT04XuZbkVk5xYmCgsYG2qrxwyMzOFRGm5ApQiXoYovCYH0X1zdXW1WiQuLS3N\nogYRWJK1R40aRZ8+fVi8eDG7du2yykCUJImgoCC6d+/OkiVLiIiIYPfu3cJ9z507R8uWLenfv/89\n0+rd3d2xt7enevXqDBgwgG+++YbTp08LU33BcD+PHDnC3LlzGT/+VbTa1iiVGpYuheHDc0yGTlFR\nEQMGDGDBggW88sorJCUl0bp1awtOV3p6uuyYCg4OFhLoRdeUn58v9OaIJkXR87SFp/UgYO076uTk\nJLzevLw8WZHBBQsWCDl5AOPGjRN6aItnstnZ2fHZZ5+ZqswHBASQmppq9o6LxmxiYqJscdJ7Gj9h\nYTB/PsTEwJw5FPr7G9LRBw6E0FCYOhWSkoSLLB8fH6EhKFdHzN/fHwc7B5qVb8aXrb/k5oib9Ezv\nyadNPqVJaBMkSeJQ5CFG7x/NvMJ5PLvwWcbuH8uRO0co1BXK8nREGWsPwsh5aij9t/FEGzkg5gaI\nYIv3wZZ9CwoKhB8OW8o6yBXNtFZQUI5UrVAohBkcoo87iMNmcoJy1sbP5dzQCoXC4tkVFBQIvV9G\n3ou9vT3z58/nyy+/JCAggN9++43XX3+d6tWrs2rVKovnk56ebuLsDB8+nKioKNavX8+gQYNkjZDi\n+O677xg9erRFe3p6OnFxcajVaho3bkxUVBSHDh1iypQpdOjQgdq1a1vt2Sgs/Bm9/k2gkMWL3Xjt\ntb+zBc+cOcPIkSPZunUrzz33HDdu3OD11183m7RzcnJkQ3Vvvvmm7DMpCScnJ2EJEJHhk5CQYPHs\nSpUqZbVBbKvHz1q4urpaeHG9vb1tIodrtVo6deok3Na6dWsmTZok3CbiRE2aNMn0ToWEhNC/f38T\nx83X19diUtfr9cKwc15enqxOk8W77+kJ48aRcPw4rF1ryNBKToZp06BsWdrv3Gkwfkpcs2ihJmfk\nlEy3VygUBDkGMbHJRI70PULSuCTWvbmOHlV74KB34HrqdeadmMcrq16h9OelWRC/gDUX15CWb76o\nEn1rHgRf8VH1MtqKx4GT80/wRBs5cp6Oh/UCPAjOiSh8VFRUJJx4rA27ZWZm2kS2lvMyic6XkpJi\nE1m6JJRKpdWhOLnn5uzsjJOTEwsXLqRz584Wxtjly5fp27cvQ4YMMSMjOzg4mDg7lStX/kcigtu2\nbePChQukpaWZiMnG+ltBQUFUrVqVgIAAvLy8CA4OpnTp0qaMLOuxG3gb0LNvXxO++ebv+7B+/Xq2\nbNnC6tWrCQ0N5eTJk3Tr1o2ioiKSk5OFoTwweMWef/554TaRbIJCoRCGK0X8HdFK3M7OTjh+5MQv\nbSWGl4TovStVqpTV41LuvZXrl7+/P0uWLBF6QV1cXITGcFpaGidOnDD9vWfPHgYOHAgYxrS9vb3Z\nPff19RXyVeS8xZIkyb4zdk5O8NZbcPYsHDkC7duDVovnli1QpQq0aQMHD8JfCsZymWclUVBQIBRP\nDQ4ONt1Tb2dverzQg3Wd1jEgfQBH+x5lbP2xPOv7LBkFGVzhCr229cJvrh+NVzRm7rG5XEu+JhxX\ntiyynnpsHj6eKh7/y1AoFGzfvt2iXeQ5cHd3t1oHxhZhMlsh0hJxcHCQ5eqUhGiQ5eXlCT0gch/y\nypUrW9NVwLDCN1ZrLg5rxdDk+iFJkpDXITcpfvbZZwwcOJCgoCBcXV1Rq9UWYYhVq1YREBBgMmzu\nlaJuDRITE6lfvz6LFi0yqS7f7bh2dnYEBQXJhgTl4OCwjZo1vwVg2DAFhw79bQyvXLmSmjVrsmzZ\nMry9vdm1axdDhw5Fo9HIrvDlPDySJNGiRQvhb0TPqWR1bmObiE8lyngS4W7ck4cBa1XG5aqug6EW\nllyZlWnTpvHiiy8Kt5VcUKxatcqUneXj48Nvv/1musdyJSPkkJCQIBveMkGhgCZNYPt2+PNPdjRt\nCs7OsGcPNG8ONWrgtHkzWFmgE8Sp6XLfFD8fPxqHNmZuy7lcG3aNmyNu0s6+HfVK10OpUPJr9K98\ncOADqiyuwsdpHzNq7ygO3D6AVmfoj4g/BuLQuhweF0/OU07OEwgHBwfhR0EUg3d3dxdOzKJ9PT09\nrdYNUSqV982dkcv+EHkDREaZq6urTaQ9Oa+PiNuhUCiE5QFEWiv3Cy8vL6E3wdXVlWHDhpn+dnJy\nwsfHx+L6Xnvttfv6oAUGBvLOO+9Y1EQqKChgypQp1K1b10ZdnLvDycmJBg0a8MUXX3Djxg1+/30g\ns2aBJMFnn1UBXgMM49EY3pswYQJOTk4sW7aM+fPnC4+blJQkKymg0Wh48803hdtE5GWR4ZKWlib0\nmIjeL9H7+bDEAMH6CU3OKyt6ZxISEoTEXDCEBN9//33htubNmwt1jbZs+VsEMjExkS5dupgWZmXK\nlBFmJImg0+mExnRubq7Y+K1UifzBgw11sj75BPz94eJFvEeNMqSgz5pFcSluW0L51sprVPSuSH3q\n80OHH0gZl8KmzpvoXa03vi6+ZCgy+OrUV7RY3QLfOb502dyFfQn7iEqx5IWJPDwPQnX5Ke6Op2KA\n/wfYEqcUGSNyYnfWhopszeYSvXBynArRvqKaWO7u7la76e+mtCqn/izygF2+fNmiTS41XQ4leR3O\nzs7C5+Hm5mbxMU9KSjLzqDRr1oxvv/2WS5cu8c4771hFSE5LS6Np06ZMmTKFgwcPEhUVxXfffSdL\nOj179ixVqlT5x9W2S3qACgoKOH78ODNnzmTw4MFMnTqVatX2Mnp0ETqdEviBgICufPbZZ4CBk3Tw\n4EEaN26MUqlk3rx5LFu2zOI8Go1GNt1cpVIJw3b29vZC0rfIo+ns7Cz0ZonCDXLyCP/mxCPHSyr5\nzshptcgZEzk5OcydO1d4P93d3ZkzZ46wPyXPcfr0aT788EPAsHDz8PDgypUrpu1ubm7C91sutCZX\nDV2SJIMmkK8vfPSRofDnd9+RV748xMfDhx9CSAgMH27I1rIBom+KJEnCxAcHBwfKlClDKadSdHm+\nC6s6riJhTAKdMzszseFEqpauSrY2my1Xt7Amdw1hi8JosLwBM3+dyeXEyyaxzpKQG2uPC55ycp5A\n6PV64cdcbhK3JYQg+rjbohljC+T6K/p4GusoFYdSqbR61ZWWlibkcWi1WlmhMNGHXxTCsnYFejdY\nex1BQUEmY6Ndu3b8+OOPeHt74+Pjw8qVK02E5O+//970m+zsbOLi4kz/vLy8OHz4MNOmTePVV1+1\nanzEx8fTrVu3e07SkiQREhJC586d+fzzzzl69Cjh4eHCfVNSUti7dy/Tpk2jTZvXWL7cDz+/HYAz\n2dnr0Gr/5tYoFAr2799vIoUOHjyYnTt3mrZnZWXJChTG/Y+9746Oqurefu5MJr33ZBIgSBcQlI4S\naqjSOxoCgoCAdAQE6U2Q3pt0eFFAwUBoJnRpkR46Ib33PuV+fwxznZm7TzLXgJ+/l3evlbUy57Zz\nzz1ln72f/eyEBCYzdqdOnUhlm7L6WVhYkClLqDKWW7O8Y4Yl5rqm3kTKgZycHGaerEWLFjHZqU1D\n0AHgxx9/FLBvjo6OGDVqFB49egRA9w0yMjLKrRgmJSUZh6FbWQFDhuD27t3AqVNA+/ZAQQGwfj1Q\nrRrsg4OBS5eAv/nc1NRU0o1XtWpVkYIml8lR3bY6FrVZhHuj7uHluJdY13EdalvXhgVngatxV/Ht\n79+i7qa6qLS6ErbEb0HYszAUqf/aFCUkJDC5kkzlf9adNyf/YzxiVFlLAAAgAElEQVR+iyKTyXD9\n+nVROWsXS/nbpSg+FPsvx3HlNr2zJlHqPRwcHMjFhKqDlM6UkpJChhsDIP3+0dHRIpK+6Oho0urD\nEgrXYW4qC7lcDjs7O7Rq1QrLli1Dbm6uyMV47949DB48GCNGjEB8fDy0Wi18fX2FPymZxQ0lNDQU\nixYtEtUxKSlJUKBCQ0Px4sULrFmzBv369UOjRo3MTnuQnZ2F1NQeAH5CXp4czZvnIjLS2Fr45MkT\neHp6QqvVol+/fvjjjz8A6KwLFIid53mmRaKoqEgSSBmglVwKv0PlNALoXXd53b4sYY2vt8HQDABN\nmzbF8OHDyWPNmzcnmZTz8/ON2JJTUlIQHBwszDkVKlQQuY0pS2Vp5IcajQYXL14UlXt4egJBQUBY\nGHDvHjB0KKBQwPHcOeCTT4DGjYH//AdQqyXNKSqVitzAUdYdQAde1ksl50oY3Wg0JnlNwqk2p3C0\n31EMrTcUXnZeiMmOwTXtNXTc1xFu37uh+8Hu2B65HSkFKaRSTfVBlpX334zf+W/A5PyP8ViisEzv\nFLgXoJUGlhVFSh4eKSBlqck4TUUmk5EuHQo38yaizNRqNWkm5TgOt2/fFtXt999/L1c9pOAAnJyc\n8OOPP6JGjRpQKpWwtrYmJ7nTp09DqVSWK92Hg4ODkYIwc+ZMrF+/XojkSkxMhKenp6BA1a5dGxYW\nFvDx8YGfnx/y8vIkgSUBLXQRV6dQWOiAtm21MDWUpaSkwN/fH4WFhejSpQseP37M5KtJTExkWnFS\nU1OZeZSCgoLIcmrcUW2fk5ND4piotjDX5fo2pbyLnEajQZUqVZjUDWvXriXbTt9nDOXGjRuCJVKf\nh+yXX34Rjtva2opc5Swl14gx2USM5pnatYHt24FXrxDVuzfg5gbcuAH07w+89x5sN29GLmGxlTLG\nWcB9SqFWqVQIUAage43u2N5tOxImJeD6sOtoXNQY9b3ro0BVgF8f/4phx4dhxNMRaHOwDeadn4fI\nxEihTpRri5VDUMr88z/5Z+SdVnJ4nhex1gL0BAzQVhuWMiPF6kPtCljWHSkDpjRuDFOhQn3NFZVK\nxWyzBg0aoFq1aqJyjuNIZUufZ8lQKDAxxZNTGt8PJQMGDDCKeLG1tSW/Rd++fSVZmAyf26xZMyxd\nuhSPHz8WLVxjx47FuXPnoFQq4evrW2pYtLu7OzMnEVtK4OQ0FD4+L5GZ6Yh27YCSEuNdelJSEj7+\n+GOkp6cjKCgIWq2WSapG9d/SOFjS0tLQr18/8libNm1EZZQyY2triygTXhb9vc25HmAnlC2vmDsW\nXVxcSKWMuj45OZmZFXzGjBlMF9aYMWPI73Pr1i2j533xxRd4/PgxAB0HUFpamlGfZ+Ub0xMNUrxi\npILi7Y3Y4cN1IOWNG4Fq1YCYGLjMnw+b6tWBSZN0mJ43JCqViozQsrW1NRrjMk6GhsqGaIVWiBwR\nidgJsdjUeRO6VOsCS84SUTlRmB0xGx9t+Qh+K/0w4vgInI09iwKVsXs0MzOTBCpTZf8W19b/MDnv\noKjVarO5T1gdlbUwURMO61nUPd5E9AhlyQFoixQF+lSpVKIJj2qHlJQUkjJeq9UyMQc8zxuZl/Vy\n/vx5UZkhV0hpUlRURC64rG/33nvvicpMXR7ffvstlixZgrlz5woKS2nYoaysLFSsWBErVqzA48eP\ncfnyZUydOpW0gvA8j+HDh+O3334r69UkiYeHB/r27YudO3ciOvoBHjwIQJ06wKNHwM2b8wH8tVMP\nDAzE8uXLAejcRW3btkVhYaHou5eWEJLFtaNWq8nvIZPJSJAy5W6SyWSk0iVFyZFi4Smv1ZAqs7Gx\nMTu0m+M4sq3T0tLw2Wefkdc0atSI5NkBIBqXGRkZRoSEFStWNIrWcnNzk5S8NCUlhWnFq1y5MmBr\nC4wcqSMQPHYMqubNYVFQAKxYAbz3ns7Cc/16uVPppKamkm7xWrVqkXXX19nP0Q8jGozA8QHHsa/e\nPsytPhcjPhoBpYMSCbkJ2BK5BdsLtsPtezd02d8Fm25uQlyOjuvKNJkq8N8PXv6/KO+0kqNSqXDh\nwgVRubnJ+wBp/nopSg7reVJyVLHcbpTPnYr4cXV1xcmTJ43KqJB3mUxGvm9CQgJzV1qtWjV8+OGH\novInT56IMEMnTpwQRV5RPDk5OTmkqV2K9UuvjCgUCqxfvx4LFiwAx3GQyWS4evUqpk2bhurVq2PM\nmDECmNMQS6NQKDB48GBMmDCBGRZrKCUlJRg4cODftqQpFAqR0pqamorffvsNmzdvxpw5c3Dq1EHs\n2ZOCypWBnJxqAI4BsEbr1q2xe/duI2X44cOH+Oyzz/Dq1SujPii1/5cWht62bVuRqxJgpyyhrCCU\nZY3FmEwpPyzg8tvC2ZgrrHYuLi4m3TQWFhZYuXIl6d6ysbHBgAEDROUnTpwQrFscx2HNmjU4dOiQ\ncNzW1pYJqjYdcyUlJeSzi4qKjAHsMhnw6afI+fVXnF2yBBg0SMfB85//AI0bw61HD+CXX3SJQv+m\nUG1Pbb4AeoNjLbNGa7/W2NRlE2InxCLyy0jMazkP3hpvFKmLEPo0FKNCR8F/pT+GXBuCxdcW43r8\ndWj5v+ZkSiHPzc2VtKa8LflvwOT8HXmnlRyWtYQKZeZ5njyfdQ8pyogUF4sUcCV1j5KSEnLnRSla\ncrncKCMyoAMRm/qoSxvALCDwV199xXxHUwKvly9fIjQ01KiMancWMJa142blLlMoFPjxxx/RvXt3\nATNj2O4FBQVYv349Pv30UyQkJMDd3V3A0vwdAsHc3FwEBQUhMjKy1PO0Wi2qV6+OLl26YNGiRThx\n4gQSEhJI0G9BQQGuXr2K1atXY8CAAWjQQAln5z6Qy5MBtESdOlEIDT1NWpiuX7+OsWPHGiUZdXFx\nEVlPCgsLma6q4uJi5uLHIsVjgZcp9wllySkoKCDPpZQfltXnbSS6Bcwf41Itxk2bNmW6Ib7++mvS\nhWPa93mex/jx4wUrhLu7O2JiYozmQRY7MmsMp6enkxY+tVoNt6AgYO9e4OVLYOpUwMkJ7lFRQI8e\nQI0auuis/HzY29uTeJg3oRxQ4OWioiJB+eE4DvV96mNW4CwMLhmMxEmJ2N51O7rX6A47hR2e5j7F\n3pi9aLytMXx+8MHQX4fiaNRRxCSJwfNarZa0jr2LrMv/Yzz+h0Wj0eh4H0yEWkA5jiOVH5aSQ3Xg\n8io+b0Lkcjm5Y2aFDZuaZDmOE0XByGQyUTskJSUxgapxcXFMQjm5XC4iAOM4DgcOHDAqe/bsGTNy\nxxwpLCxkuvNmzpyJQYMGCakXlEolCQ7PyMj4W+zEhqIP5X7x4gU6dOiAsLAwo/sbhqwHBgYiKioK\nhw8fxqBBg9C4cWOmq8hU1Go1IiN/hkbTBkAG7t2rhMGD1WB1yTNnzmDMmDH44YcfAPxFdWCK36Da\nJTk5mWnF0Vt4KGxH27ZtyWsoZYmy7lhbW5OuRMpqI8Xq87aSPFJlLEJL6lyNRsPMI1ezZk1mnqxW\nrVqJMIOJiYk4ePCg8DsrK0vIhA7oLJzx8fFG3+3vtEtJSclfebr8/IClS4HYWJzq1EmXJPTZMx3P\njr8/nJYuxc1jxyQ/oywpKioi8W1ubm7knOXs7Axve28MrT8UR/sdRdrUNKz8aCWCnINQwakCUvJT\n8OPtH9HzUE+MTxyP9nvbY931dYjOigags7ZSEa3Ud36b8j9MzjsorPBtSpnhOI4EMLII7FiWBkqk\nmDLLa/a0trYmFw2WWZdaIMLCwowWCW9vb5GZlud50j2Xl5cHGxsb5s40KCiIrMvp06eN2l+j0Rhx\n2Bg+1xxh5evSarWYNGmSqNy0vi4uLpg9ezbOnDkjOXRZJpOhffv2OHz4MMaPHy+Up6amolu3bliw\nYAHi4+NhY2NjFLLu4+MDjuNgaWmJChUqwMrKCnFxcRKBtQ8AdAKQh0OHrDB+PJvG5OnTp5g8eTI2\nbtwIQJck0jCrOKXcArpvQ/Wx0kDKSUlJ6NKlC3mMYgum3KvW1tYktozqwyxCRkrJeRPAZXM3LVJ4\ns5KTk8lFWavVYvr06aQCJJPJMHXqVPJ+phbUFStWCO5quVwOGxsbI3wT653y8vKYFk0Sc+TggOiu\nXYGnT4GffwaaNgUyM4HFi9Fp9Ghg8GDgzh3hdMpaxxIW15ebm5uonHJhARBhB60trNHEvQlGVRyF\n6HHRuDfqHha1XoRm/s2g4TU4/fw0xp4ci4DVAai9oTaW/7kc51+eh0ZrPE9QLteSkpK3xub9b5D/\nMR7/w8JxHBmyTCkSHMeRixmrQ5qrPAHSrD5UuZREoyzlggIBA3S4JsdxRgRy+onLnMW+NKCqTCbD\n3LlzyWNZWVl4+PChUdmKFSuMsAPu7u7M0E5TYbmr9Pw5pmLY7h9++CHCw8PRvXt3BAUFoUqVKpg0\naZKofoaSn5+PJk2aYOHChYiKikJYWBiZ5bukpASzZs3CqlWryuThsbOzg5+fHxN7RYmFhQXat3fG\nvHn3YGkJrF0LbNpEW130Mnr0aPz0009CXQ3zvbFSmFCSnp4uuEpNsR0qlYp8D7lcjo8//tis+7OS\nhFJKg1qtJscjhUVhgUnflmvLXGH14YSEBDRq1Ii8ZtiwYaQVDRC7cHiex7Jly4Tfbm5umDx5slG7\nUW2QnZ1NWoZZmDlAB56GXA706gVcuaL7690bnFYL7N4N1Kuny5V14gT+NIgYK0vMtaAB7OhXVl4t\nNzc3cByH2p61Mf2T6bg89DLGlYzDru670KdWHzhYOuBB6gNsfrgZU6KmwGu5F4KPBuPQg0PILsom\n+XcUCsVbc9H9WzE5UskApco7reSw8kZJUUZYC3t5FSLWBMpKDFheYQGEWcqPae4pX19fI/CinmXV\nUFJSUpgJAYuLi9G0aVM0bNiQPC6TyURYouTkZMHKAOiA1k+fPiWvL6/oXVt9+vTB8ePHjTIpR0dH\nY8WKFahXrx5Gjx4tRNJkZGQImB6VSoWzZ89ixowZZEi9qSxfvhxLly59I3X38vJCnz59sHHjRjx7\n9gxhYWGYNaspDhzQ4UE3bvQCMNbomlatWglsszzPY/Dgwbh16xasra0xbNgwwY3p4OCAoqIiI7cV\ny0LKUrBLc2+1aNGCdCuywukpJYWK3LGwsCCtOZSVgIX1oZSnN7FTlZI/i4WToe5hb2+P2bNnk/eq\nVq0aevXqJSo3JW188OCB0T08PT2Zmb5NJScnh7SeqtVq8bzQtCnw009YM2YMMG4cYG+vy3reuTMC\nx4yBZtMmwOCbODs7k8k43wRvDWUtKygoIMlPPew8EPxBMA71OYS0qWk4+/lZhNQIgYfcA+mF6dhz\ndw/6/dwP7svcMTd6LlZeXYlnGX/NpXZ2diRnmbns2v8TsbzTSg6gA+6ZihRXEUsZKa9CJMUNJkUh\nYr0ba4fF2sWY1o/jOKxcuVKoi52dnWhgqtVqcreu1WoRHx/PTGII6NIGmGZkBoDNmzcbtd+OHTvM\nChmWymLL8zymTZuGPXv2wMLCAvHx8SL8h0qlwoYNG/DNN98gPj4e1tbWAqaHhXkqTb777jvMnj2b\niR+hxN7eHs2aNUO3bt2EsuTkZJw8eRI///wzduzYIbjYevYE/kpdtQbA57Czs8PUqVMRGhqKOnXq\nCPcoLCxESEgINBoN0tLSMHLkSOGYr68vQkNDhb6lx28YilarNVJyDK0JrAidwsJCpjLDYtemxg3V\nH2xsbEjXFDW+7O3tyQXUXDAp8HbM9Cz8DkuqVatGbmZ4nsfs2bNJagnT9nd3d8fKlSuFaEArKyvk\n5uYaYfdYubJYbVAa0aR/YCCwahUQGwt8/z3g5weP1FTIR40CKlQA5s4FUlJga2trNtWEFKtB/msA\ntKn4+vqS2EZDV7ul3BJtKrfBtx99iyW+SxA1OgrL2i1Di4otwPM8nqqfYuLpiai6tipqrKuByacn\n40r8FSSlmkeZAEgLRPlvweT829I6dADwCMBTAN8Qx2sAuAqgCIApEKKsa8stMpms3CZnKQ0uRSF6\nE8rTm8ASsMC91KR09+5dXLp0SfitVCqNMBystoqOjkZAQACzDj4+PlixYgV57MWLF0YRYK9evRIS\nUpb2XKkDpW3btli4cCGsrKzg6ekJpVLJtHJVr14dSqWSCWw2R+RyOUpKSjBv3jzUq1cPe/bsEZ2j\nUqkQHx+PwMBALFq0COfOnUNSUhIuX76Mr7/+2ujcvLw8nDt3DvPmzUNQUBD8/PwwePBgODkdxsSJ\nOmWN437EDz88w9KlS2FjYyNalO7fvy+AU0+fPm3ktjp//jy+++474bcp3wrLapqcnMzEg6WlpZGu\nTZ7nmSBlysVHLbiWlpak8kj1C/1CbiqUgpGbm0uOuzfBHm4qrIS0rOtLw8FRoeYA0L17d1FZUVER\nTpw4IfzmeR5Dhw4Vvq+TkxOpQEpV9JKTk9GpUyfdD2dnYMoU4MULHOvfH4W1agGpqcCcOTpl58sv\nkUAQiVLAeCkbHJbrjZX6gjWPOTo6ooZ7DUxuNhnnQ84jZUoKumu6Y0DtAXC2dsbj9Mf44eoP6HK4\nC0Luh2DA4QHYf28/Mgp11nAWGek/DV7+/y3/trQOcgDroFNWagEYAMA0PXM6dHby5X/j2nILx3Gk\nn5I1GUgJ9S6vSMHkSHGDsYQVbk4pOTzPk4nzOI4zyn5sYWGBM2fO4MmTJwB0u0LT3W9SUhKUSiWz\nHVNTU7Fhw4ZSOWdM33PFihVGik9RUZFokZHC+6JWq9GoUaNSGYn1MnLkSNSqVQsvXrwo81xKKlas\niIkTJxq5b6KjoxEcHIzu3bvjzp07SEhIQHx8PDIzM+Hr64vly5ejX79+aNasmdkh7ElJSdi9ezd6\n9+6No0dboHv3++B5OcaN80Z4OPs6QwVy7969wv8ymQyLFy8WlFz97tcw27xWqxXaXY/J0Wg0pHWv\nsLCQmUMuISGBdGvyPC+KzAPYC5252eBZfZO63tbWluQ8kjIWpbhYzJ1/WDmpVCoVhgwZQt7H3d1d\nRDKotyiYKnIRERHYsGGD8Nvb21s0Bqj3yszMZFrrSkpKxEqrQoFXzZpBcfs2EBEBfPopUFwMbN2K\nsRs3Ap0769xar59F8TEpFIpyK6JSCEZ5nhdZ0FxtXPGR5UfY32s/UqekImJwBCY3nYxqLtVQwBfg\n4P2DGHRkEDyXeSJwZyD2Re9DVGqU6LkUXowFzP63YnLetrxNJacRgGcAogGoABwE0M3knFQAN18f\nl3ptuYXjODICiAVAk5KqgbqvFOWJJVKsElJ4fag6FBYWklEIepcIJabtUVhYiAkTJgDQ7Tx5njfC\nMmi1Wmb+r4SEBFhZWZELl17q1asncjkWFxcbRS1lZWWJQtClcJToKe1LEw8PD+zbtw8bN27ExYsX\nUbVqVbRu3Ro7duwo1aKm1Wrh5+eHYcOG4ZdffsHz58/xww8/kAv/r7/+ikGDBkGlUkGpVMLT01PA\nX1SuXBk5OTmIj4+XnILi5cuX+P33jzFypBbFxUDXrsDNm/S5hpPqtWvXjI5pNBojHJGLiwt69Ogh\nhM/6+fkZWfZKk7S0NCaTLs/z5Fiys7MjAbelRQGZCmtzQY19yjJlY2NjdpJHjuP+MUsyq81SUlKY\nvEVTpkwhXcQASOoNQ2ujpaUlNm7caIQvsbS0FC3ABQUFpGJeUFDAtIS2aNECFgoFEBgIHDumo/Ie\nORIlcjlw4oQOoFy/PrB7N+JfvhS1vYeHBxmF9ybAr1Q/KSoqItNx6N1dFjILBFYKxLKgZbgWfA3T\n7aZjZfuVaBPQBhzH4cKrCziccxi1NtRC1bVVMT5sPM6+OIsSTQk51llA+f92Dh6WvE0lRwnAkBwg\n7nXZ277WbFGpVOjYsaOonNpB8jxPLsasyJbyKkQsdmQpChE1gbKwPlKkUaNGTNI9ysJz4sQJwbLi\n5eWF9PR0YbJjTfIxMTFwcXFhmoUBnV98x44dZFtduXJFILPTh80aTrjUgGeFlQOlt/uHH36IY8eO\nYeDAgUKZVqtFeHg4vvjiC9SvX98oXUVhYaFgjenYsSNevXqFrVu3olu3bmWmGXnw4AG++Yb23urd\naE5OTmZHmQE669H69euwfr0MAwYAeXlAhw5Adrbx7rNnz55GO9LU1FRRO165csWo7Pnz5xg4cCBK\nSkogk8ng4+ODZ8+eCZgcBwcH0rXB2hAkJiYyFc7atWuT7cdSlihLDEshpcY5K28dBUimFB8XFxez\nQbtSGadNxc7OjlTqWNc7Ojpi9OjRonJ3d3d07tyZVCZNuWAyMjKMNhseHh6idmAlhGWFeWs0GvH3\nrF4d2LgRy8aOBebPB7y8dCHngwfji/nzkTF1KmASBHH37l3xSxMiFb9DKWyurq6kG9Xf35+8TwX7\nChjfZDzOBp9F2pQ0HOp9CPVQD242bnie+Ryrr61Guz3t4P69O5a8WIJdt3chNf8vZYel5FBz87sg\nf5/FrGwpj9po9rUhISHCTt/Z2Rn16tUTJlC9SZz1+8aNG/Dw8BAd1xO0GZ6fn5+PR48eGRFiRURE\nIDk5WQDnGp5vbW0tet7t27eRmpoqep5+4TA838LCgqz/y5cvBUCo/rget0C9n+nzYmJiBJNqWe1z\n+fJlsn1Y1yuVSqMcPREREUK0059//iksKi1btsSAAQMwZMgQlJSUwM7ODi4uLkbt7+XlJQAJqfrZ\n2Nhg8eLFRriKiIgIo4iu3377DQqFAk5OToiPj0eXLl3www8/oH379nB0dMTx48fh4OAg3P/cuXNw\nc3MTPU8fDWX6vhcuXEDDhg1x5swZKBQK/PTTTwDE7pGHDx+iZ8+eWLNmDSwtLdGmTRv4+vqW2Z4s\nCQ0NxYoVK1C9enXY2dmR7VMWSaCrqyvq1q2LZs2aYdasWUJ/HToUyMlpidBQ4PTp5gA8YWGRgQkT\nJqBdu3b45JNPBMucWq1GRESEUZJbtVotLJx6xe7SpUvYsmWLABa+dOkSKlWqJGCaqlSpAjs7O1y+\nfFmoP8dxZP9MTU1Fnz59RO+bk5ODO3fu4Pnz56L2MB0v+uN3796Fi4uL0fm3b99GcHCw0fl6i5np\n9c+ePUNERITR9ZmZmYLyY3h+Zmam6PorV67g/v37An5Kf5yaT1i/09LS0Lt37zKvt7CwwMWLF+Hu\n7l7m9S1btoSLi4uwMTF9Pz1BpP58PT7P3d3dqD0SExNx8uRJXLt2DY0bNxbG559//okePXogIiIC\nPM+jSpUq8Pf3N3p+ad+fqi8AKHx8ENGoEVpOmQLs34+IefOA6Gi03L0b+PlnRAQFAb17o+WgQbhz\n546wodFff/HiRaMkpKX1N+r3yZMnRe1b2vfU9wnD8/Py8kQ0C31a9sGTX56gSYMmiEqLQrxrPH57\n+hvuX7uPP/EnQopDwIFDzbyaaOrfFFXsq6A9314Yf/r7nzlzBomJiaL1S59Et6z3u3LlCvl+rPmR\n+p2eni5E8emP6+cF6nmm8zHP86hZsyYiIiKwc+dOACjV0v+2pQmAMIPf08EGEM+GMfDY3Gv58kh8\nfDwfHh5OlptKQkICr9FozDpXq9WS5TExMWQ9oqOjRWXPnz8nz33y5ImoLCoqijz34cOHorJHjx6R\n58bGxorKqHfgeV1bUPLdd9+JytasWcMD4A8ePGhUrlQq+UGDBvE8z/Opqal8eno6z/O6touLiyPv\nz/M8X1hYyL948YIvLi4mv13btm15ALy1tTV/7949nud5PjIykodOceYHDx4snHvo0CFeq9WW+b6s\n+iQkJPBpaWmi8unTpwvP0//VqlWLV6vVzPcylYoVK4ruYfrn5+fHr1q1ilepVEbXarVafs+ePUbn\n2tvb861ateIrV67MA+ArVqzI9+zZk1+4cCF/6tQpvqCgQLg+P5/nP/mE5wGet7GJ448fv270zob3\nnT9/Ps/zPD9+/HgeAN+tWzfh3JKSEuG8jh07CuULFizgFQoFf/LkSaHs+fPnRu1DjZXk5GS+pKSE\nbC+q//I8z6tUKnJ8nT9/3uj5elm+fLmo7N69e/zTp09F5WfPniXreObMGVH5pk2bRGUajYY/dOiQ\nqJwaz/Hx8WbPP6x+TJWz+jarfPbs2aKyR48e8QD4devWGZUPHTqUB8CvXr1aKEtLS+OVSiWflJQk\nlCUkJPCFhYVmPZ/1nZOSkviioiLjQq2WD5s4kU9v2FDXmQGe5zie79GDX9ChA88bjH2e5/kTJ06I\nxlJOTg6flZUlep6UdmfNl9T5GRkZ/M2bN0Xlhm2ol5eZL/ku87rw7fe05y3nW/KYA+Gv4sqK/OjQ\n0fzJpyf5QpWubRcuXCi6x927d82um5R+JaUtUlNT+eLiYrPO1Wq1fGJioqgcpRhG3qa76iaAqgAq\nAbAE0A+6zICUmNpMpVz7jwjP8GlTwvIzs1wRlNmbBbosr8uMZZ4uLzCS53kmY62jo6MoGobjOOzb\ntw+///473N3dwXGcEKbLqmNaWhoyMjIQEBBQKgGetbU1Nm3aRIYZ79q1C0eOHAEAHD58GKtXrza6\nztxs0YDOJUWZ1E2/XY0aNbBhwwZcv379b/vFa9WqhUGDBhmVxcXFYfz48QgKCjLCGGRlZcHOzg5d\nunTB/PnzcerUKSQnJ+P3338Xdl2vXr3CkSNH8O2336J9+/bw9PRE69atMWvWLJw7dxzr18egRo0i\nFBYqMXNmQzBSPWHWrFnYsWOH8PvLL78kzzPt+yqVCsOHDxcsbwEBARg3bpzgvnRychKZ3VUqFdmn\nS2PYTUpKIjEnLFA9BdrUarWkG4s1RikXK2vuoIgUTdOmANKILqWAlKW4v1UqFdPlUbNmTQwbNow8\nZhqCHR8fb0Qy6OPjIwIIU+NErVYzXf4qlUo8N3IcUuvXh93Fi8C9e8CQIYBCARw9im/DwoAmTXQJ\nQl/PfWq1WsQL5ODgYHaaDdbYljLmWfw7VARiJedKaGHdAqAenSkAACAASURBVGGfhSF9ajqO9D2C\nofWGwh72eJX9CutvrEfHfR3h/r07evynBy4mXURirrF7lEXkKYVV+k3I350XzZG3qeSoAYwBcArA\nQwD/ARAFYMTrPwDwhg57MwHATAAxAOxLufaNCs/zZboGDM81tzwvL4/kVmCJlImGGuQs4K4UXFB5\nJSkpicwqDgDBwcGkMgAAf/zxBwAdPuH333/HnDlzoNVqRYMsJiYGVlZWRpgQ02/HvzZlnjlzBoMH\nD2bWVa/kyGQyTJ48GVtfk8W4urqS/mzq+5j7jYcOHYqrV68iMDAQbdu2xfvvv4/vvvuuTAAu/9qM\n//XXXyMiIgL3799Hhw4dyHPDw8PRtWtXvHz5EgkJCSgsLES9evWwZcsWzJw5E0FBQWWGs+fl5SE8\nPBwLFixA165d0bnzx/jkkwWoVKkEd+4AXboAplCT/v37A9ApNi9fvkSnTp3+Cvk1Eao8Li5OCEnn\nOA67d+/GiBG6qcHR0REajcYo/JuFK8nOzmZmMGeJr68vaeamxgzVHwFacdFqtWTIMauvUJFfFCjW\n0tLSbPwOS8q7kKSmppI553iex4wZM8h5yNbWFkFBQaJyfboIvRw5csQoCa+Hh4cIMMwK5y4tEq9J\nkya6etWuDezYAbx6BcyciVwrK+D6daB/f+C994AVK6AoLBSRnALA48ePyXuXR1gpTjiOI9uRFZqu\nbw97S3v0qNkD27ttxwyrGbg69CpmtZiF+t71ka/Kxy+PfkGYWxh8V/ii0dZGmHd+HiITI5mK89vK\n4UbJ20718LZ5ck4CqA6gCoDFr8s2v/4DgCQA/gCcALgAqAAgr5Rr36i8iR0PVa7VassEkP7dukk5\nl1JoWBaQ8taX9c5yuRzjxo1jXmcIvpPL5Zg3bx7mzZuH9PR0QeFISEiAj48Pk7AQ0IHt4uLisHLl\nyjLTABiSDmo0GowaNQpbtmwBoNvNmcM9wWJv1Yu7uzvWr1+P7du3CxMRx3GIiorC/Pnz8f7772Pa\ntGlGFrTc3FyBIfnw4cN48uQJVq9ejcDAQCFnFUsiIyNx69YtIc9VQEAA3N3dBdJC00zqZUlsbCy2\nbl2I1NT68PQsxuXLQO/egN6gYWlpieXLl2PGjBnQaDQIDQ1F165dyXt98sknTAuP4WTKcRy2bduG\ndevWAdBhYcLDwwXSRWdnZ7OVUECHCWFx8LAA7dT5Go2GtPCxEvZSChdLyTc3+SgAkgmX+qYsMO/b\nWkysrKwEhddUgoODST4pU3A2x3GYMmWK8D5WVlbQarVG7c4iP2SlitFoNGILn7c3MH8+ts6cCWzc\nCFSrBsTEAJMmoU1ICGpu3677bSCGtBh6odrX1taWBLNTykFmZqYkglAWWSLVtrY2tmji3wTzWs1D\n5IhIxE6IxabOm1BTVhPWFta4kXADsyNm46MtH2HYw2EYcXwEfnvyGwpUf30TapxRG4z/C/LOMx7r\nwU6G8jZNZ/+kUJMay2wuRcmh2oc1gQYGBgpAblN57733BBChoWzduhVhYWGwtLTEq1evUFxcTO6w\nIyIikJOTg9jYWNjY2MDf37/M9wgKCsK0adOMyjQaDUaPHo1ffvkFFhYWGDJkiNEkLLU/+Pv7Izw8\nHF9++SXi4uIQFxcnmpzz8/OxdOlSzJ07V1BEtFqtwJDcoEEDyYtSXFycUV0VCoVAWujr64vU1FTJ\nZugaNWywf38a3N2BkyeBr792BiBDly5doFQqsWDBAoSEhECtVmPmzJkCJ5JeKlSogJ07d5LfheM4\ntGnTRlS+bNky4T2SkpLQqVMnYVfv5eUlsnSwvo9GoyH7TXZ2NlPJoVwFpmzNeqGiqHieJ60KLCWH\nleaAEsrCQ1l37O3tyQVJSj9mbfSo+dLS0pLcUNnZ2YnGml6okOqoqCgja46Pj49RCglWQliWJCUl\nMSPxPmnfHhg5EoiK0oWht2wJRWEh6p07B1SurLPwvAZeU7xHz549EymYzs7OZrOTs1JvsITqf2q1\nmuTlMVX4/Bz9MKLBCAQmBCJ9ajqODziOER+NgNJBiSxtFrZEbsGnBz6F2/du6LK/Czbf3IwnSU9E\n92Up3/90QlGp8/E7r+SYK29rF8TyM//TitabsBxRUtpuZfHixcwklOfOnYODgwMqVqyIyZMnC24N\nvajVaiQlJUGj0cDf379Md4ynpyeWLl2K0NBQcoFTq9WYPn06AB0fTe/evYXdjJRvkZWVhW7duqF2\n7dqwsLCAn58f/Pz8hJ2pqXh5eQmKSGmWIXNkwoQJaNKkCfbu3St6Fsdx8Pb2Zpr1DcXT0xMDBw7E\nTz/9hGvXrqFNGyXCwgAHB+DYMRvI5ZswffoM4b5btmxB48aNkZaWhg4dOggKSUFBAXbv3o3KlSuT\nzxk5ciQaN24sKo+JiTGaUO/du4f+/ftDo9HA2toajo6OgpsT0HHTSAmPzs3NJftAYWEhid/RarUk\nYR21ay8uLibHM+vbUpYjlvuZWmSoBdjW1pZkaC7vnMK6ntXOAwcOZHLwsNzJhukhAGDVqlVG39rF\nxYUZIm1u3ZKTk//KPSeT6QgFw8NxYcUKJLdtC3CcDqvTqBHwySeofPcuYKLQ8DxvRHSpf5a5FB0s\nBnApHoO0tDRyA8kKTbexsYGtwhZdqnXBpi6bEDshFrM8ZmFKgylo6NsQReoihD4NxcjQkRjzYgzq\nb66P78K/w/X469DyWqaSIyXtTHnl38Z4/K8XFibnn1QwSvMn/zfLgAEDSCuOXmrW/Ivg+sWLFxgw\nYACGDx+OnJwcaDQaxMTEoH///mViMVJSUmBjY4MHDx5g6tSppWKSMjIyhG9/8uRJtGnTBo8fPyZB\nsCzJzc0lF0RbW1ujASqXyzFp0iS0bt1akhvJUGQyGXr16mUEoL1+/To+//xztG7dGg8ePBBdQwFo\nDeurp2Hw9/eHRqMRFJaPPgKOHwcsLXloNMNx5MhHwjUKhQKjR49GgwYNBGxObm4uMjMzERgYSNa9\nbdu2QiiyqdStW1dk+YiIiBDI5hwcHPDll18KPEiurq5IS0szi1hPo9EwrZnp6emk28PCwoJcrKkF\nTaPRkG3MUuYpJYcV/k+9X3JyMonrMVUWWCIlAzTHcWZjGEtKSpjKbcuWLZmuTVNmYJVKhTVr1gi/\n7e3tceHCBaMxY2VlJSlggJXxvuj99+ESGgq8eKFLIeHkBFy6hMmXLwM1agDr1wOvFVt7e3vSjWUu\n07mrqyupNFDfQqvVMmERVF9m5QA0JXDkOA4+nA9mt5yN68OvI3FSIrZ9ug3da3SHJSxxO+k25l+Y\nj8bbGsP3B18se7IMP93/CXklxhsKyoX4TwOXS5N3WsmRojVL2cVIUZKKiookKTlvG6T1T0hRURHG\njh3LfJdatWqJci8BwLZt2zBlyhRERkYysRaArv31LiAnJyfUqFGjTN4YS0tLLFq0yKhOd+7cQevW\nrfHw4UPs2bOH3DUbCstCYFgvAPjggw9w5swZLF++HOHh4ahQoQJGjx4tYhBmSfXq1TF9+nRcuHAB\nK1euJHf+58+fR6tWrXD9+nWjco7j8OGHH+LLL7/Epk2bcOPGDYQb5HHIysrC6dOnsXTpUvTv3x9+\nfn6oXbs2hg8fjqioTVi2LBpyObB4MWCoo9y5cwcrVqzAe++9h8jISHz66adMEr5q1aph//79TODl\nnDlzyOtu3bol/J+fn4/+/fsLu+mKFSvi4cOHRuezlIKy2KtNxcvLixyjVLtzHEdaUVjuH8rCw2IZ\npiLIbG1tSYWG6quUMmRnZ2d2egsp81paWhqZWV6r1WLatGlke3h7e5PkrIaWHAB48uQJFi5cKPx2\nd3c3m+WbpRgAunnH0tIS8PfXJQONjQVWrUK6oyPw7BkwZozu2IwZUKSmkqBdPS+YoVDuHEtLS7Nz\nC2o0GkkBIyzsHqWo29jYCP3K294bX3z4BY72O4q5dnNxctBJjG44GhWcKiA5Pxnnc86j7+G+cPve\nDR32dsC66+sQnRVNKjksXGN5Gb7/jrzTSg7P86SPmZK35c5RqVRmd2C1Wl1ugPA/LVRbpKenM02q\nnp6e2L9/P9O8//PPP6N+/fo4fPgwPv/8c6PJTa1WIzY2FvHx8fDx8RHcRGVJy5Ytce7cOXzxxRei\nYwkJCejduzfu37+PoKAgXLx4EYCu75hO+rm5uaW6nGxsbDB69GgjAj196PyGDRvQpEkTdO/eXbQb\nVKvViIuLg1KpxPnz5xEVFYVFixahefPm8Pf3Z07aqampmDZtmsCuHB8fj59//hm//vor5s6dixEj\nRpSJ/eF5Hg8ePMC2bdswatQoTJv2PurVWwUAmDwZeM3HBY1Gg3Xr1uHUqVPw8PDA+fPnMWrUKFEb\nZWZmom3btqSVied5fPvtt+jRowdZF9P8ZRkZGQL7M8dxePjwoRGGgwVUptorKytLcqZ4ahHnOM5s\nkHJxcTGp6LESv7IUe2rhMGUfBkBGDjk4OJAJTFlSXgxjUVERGW0FAKNGjSKj0ExxVTKZDCtXrjTK\ng+fk5GSW9SopKYkE8fI8Lx4HDg7AuHE4uXo18NNPQNOmQGYmsHgx6vfsiXZ79+qYlQ2ECv9PSkoi\n+0R50/lIFcrKRGWlBwAnOyd0qNIB6zqtQ/S4aNwdeRfBymB84PoBVBoVTj0/hbEnxyJgdQBGPxiN\n6Wen40rsFWi0OgtbdnY22S/NVajfpLzTSo4UeRMcCOW1BhUXF/9XuLZKy5K8a9euv/zlhNSrVw8W\nFhbw9PTE3r17UaNGDSxZsgRJSUlITk4WMDBlcRplZmaiWbNmOHv2LMLDw0uNyIqLi0NMTAxevHiB\nDh06YPny5fD29iYXEpZkZGTg119/xbp161BcXIz4+HjSXK3HA5WUlAig5bS0NCiVSjRv3hwtWrQQ\ntV9p78q/Tg6oBzQ7OzvDz88Pbm5uQtSVFJ96YWEhbt2aAEBH1z9sGKBPRn7o0CE8efIEJ06cgK2t\nLfbs2SPgnPR1ycvLY7oYR4wYgXnz5pHHqlevjiFDhojKw8PDBdeFPjpv82Zd8KaDgwPUarXRIu7i\n4kLuwPPz88kFtjRuFkpRZ30LanJnAaBZnD+UG0KlUpGLNvVNMzMzRX1WSqJSwPygg9LGOCsZKGW9\nBeg8WVlZWUaZ0J2cnDB58mRR/czFvSQmJjKVnyYff6wLLbxyRffXuzc4rRbv37oF1Kuny5V18iSg\n1ZIWJUdHRyMrpF7MTRKqUCjKHS3H2iCzXFuGLmyO41DHqw76+fbDnpZ7kDw5Gbu670LvWr3hYOmA\neFU8llxeguY7msNruReCjwbjQvoFPIsVK9VUaPrbBi6/00qOFB8zIC2qSMpkQGm81Lkqleq/wpLD\nkoYNGzK5YADdoqIPL9a3Q0ZGBqZPn44ePXrAzs6u1OcVFhYKioOlpSXGjBlDRveYStWqVYXJoKCg\nAFOmTEHfvn2hUqnw+++/l3l9ZmYmeJ4XFCk92Nja2poc9AqFAllZWYLC5u3t/bfdlCqVCrt37xZF\nAikUCvj5+UGpVJpl7TKVoKAofP11DjQaoF8/IC5OF+WxceNGNGjQAAcOHICFhQWWLl2KtWvXAtBZ\nxfRWCtNxFx8fj/nz55Pv6ezsjF27dpEUAl5eXqIxMXXqVGEx9/Lywpw5c4T3t7GxIaOiWO2bnJxM\nWlBKSkpIsDvHcaSyRO3kS1OgTIXneVKpcnJyIpVGStmytrYmrTmmbj6W2NrakjmrKJEKUu7evTtp\nSZPL5WbRDwC6NCt6qn9AZ6XQ0w+UVTcW2WtiYqIxtqhpU+CnnxB58CAS+vQB7Ox0Wc87dQJq10bj\ne/cAEzyKQqEgebGoukkRKRvs9PR0EgfFcq9TLtOioiJ4enrCw84DwR8E46c+PyFtahpG2Y3CuMbj\nUNmlMtIL07Hn7h7MfTgXtXbVQpvdbbDqj1V4lqHrd5QbS4ol8e/IO63kyGQycpGhJiQ3NzcykzDV\n0dzc3MwGqrK4Hyh5E6Gh/1bJyMgoFWdTs2ZNnDhxwgiQbCh//PEHtm7dis2bN4uiHpKSkhAXF4f8\n/HxBcWDtlg3F0tISQ4YMQUREhGhBO3LkCPr164fu3bvjxx9/BMAmE8zLyyNDiG1tbUUTe/PmzbFh\nw4YyMUSliVwuF9xhly9fxuDBg1G1alXMnDnTyMSvF3Otg3Xq1MHEiRNx6dIlnDp1CqtWOWLkSKC4\nGDh2bBiAekICxq5duwrA4nHjxgl5vahFLisrC/b29mQ95HI5du7cSUZhATTDck5ODn777Tfh95Ur\nVzBs2DBhnHh7e5sdhs6qc1paGvmNZDIZifkp7048NzeXfB6LJI4Cv+vvYyqPHj0SlVFWRicnJ7Ot\nflJZflkh9n379mUqVqZzAcdx2LVrl9HvS5cuGeGTvL29ybD70jarlPIjr1oVXgcOAHFxOvyOUglE\nRWHo1atAhQrA3LmAwVijrIeUklNSUkJuesu7wZbK3Ua5TBUKhQhnZym3RG3b2ljVYRWejX2GqNFR\n+L7t96jvqqMI+P3l75hwagKqrq2KGutqYN3jdTgffR5q7V/joaioiFzX3hR4+Z1WcmxsbIwGhV4o\n0J6VlRXJfMliJ6XMlpRf3tramvyYVEe1sLCQFHb4tkQK2Nrcya6wsJCpeDRo0AAnT54kOUwM61Sh\nQgXs378fH3zwAdq2bYvNmzcjNjYW7u7u8PPzM0tx4HkeAQEB+Oabb3Dnzh3s2LGD6be+desWcnNz\nMXToUISEhCA3N1c0WM11MXp6emLt2rW4cOGCkGR24sSJZmdLBnQm/6FDhyIyMhIzZ840OpaQkICF\nCxeibt262L17d5n3srCwMCIxrF69Oho3boyaNWsKyijHAevWAX37AiUl1gBOoU2bUcI9Ro0ahYoV\nK4LneXz22Wf4448/hP5giO3Iy8sjsUxarRaBgYHo1q0bWccOHTpg6tSp5DFT8OWBAwewb98+4Vh0\ndLQRhT/LjSVVLC0tyfFBWcu0Wi2p/FBjJjc3l7QQsfA7LDcExRtEzWHx8fGiTR3HcUIS1b8rVNtk\nZmaSSllxcTEmT55M3qdWrVqiVDEARDxNKpUKU6ZMEX7ruXbMmZdInM5r8fDw0CkNzs66SKyXL4G9\ne5Hk6wukpgJz5uiUnS+/hOLZM9J6SClbVlZWpNWnvMEwAI2nYgnVX5VKJanw6ccux3Go4V4DU5pP\nweYmm/FL81+wr+c+DKg9AM7Wznic/hi/Zf6GlrtawmOZBwYeHoj99/ajRF5C9sE3xbr8Tis5AA3Q\nY9F4U+UUmh6gQX4sDAf1MVko9PISer0JkbKrMFdY16enp2Px4sVMvg1At7CsXbsW/fr1g4WFBXie\nx7lz5zBy5EgEBwczv5FeNBqNEI3F8zyePn2KJUuWkLmNWLJr1y40btwYf/75J6Ki/spAotFoytxB\nDRo0CJcuXcKYMWMgk8kgl8sRExODlStXon79+ujVqxfzHZKTk9GpUyccPHgQMTEx2LRpE1xdXZnR\nJsnJyQgJCTHiHdJqtfD390e7du0we/Zs/Prrr0hMTBRykfE8j8ePH2Pbtm0YPnw4qlatiho1amD4\n8OH4z3/2Y/36HFSs+BiAJw4cGALD+erVq1eoUKECSkpK8MUXX+DcuXOiOrG+fVxcHJNIsm7dutiz\nZw/p7vHx8SHBy//5z3+E/zUaDQYOHChYLPRstaZ9+02NIRYgndrgSIn6pJQWQAzSBnTfkYp4o3bR\n9vb2QhZyQ2FxpZgrUuav1NRUZqqYCRMmkOOKer+jR48aKbT+/v44ffp0mfVKSUkhrcvkOygUwKBB\nuLtjBxAeruPeKS4Gtm5FxY4d0W/3bp1by+BayurLipajIuOkbCzfBHaUZWlnljt6YWCdgdjfaz9S\nJqcgYnAEWlu3Rg33GsgqysKB+wcw6MggNP65MYJ/D8ayy8vwKO2R8HzKalhQUCA5QuudV3KoSSIm\nJoacfCh0up6R11Qoa9Dz58/JDkR1an2ySlOhXGlSFKJ/g2uLwiGxyLEKCgpKtcBUqVIFJ0+exOjR\no4X7GEpERAQ6d+4sUjo1Go0AvE1JSYGvry/8/PxQoUIFs8y6Li4uWLBggVHZy5cv0atXL3z11VeY\nPXs21Go1bG1tyV0coNvBdurUCXv37oWLiwvi4uJE/mmtVosjR46gXbt2yMvLA8/zSEpKEqKlXF1d\nMW/ePPTr1w82NjYC1oYVvg3o+kBoaKhwD3d3d0RHR2PPnj0YP348unbtWqbVS6/0DBo0CAEBSnzw\nwTzUrp2HV6+A9u0Bw7UwJiYGVatWRXZ2NoKDg/Hs2TOzsHByuZxc2LOzs7F27VqyjhzHYeXKlaRl\nwHTsPHr0yMji5e/vjwsXLhid83c5jEyFFW5u7oQtxTUB0FEzGo2GtIayLI3U7pqaL6k6sLBPlEhR\n6gAdBUFwcDB5jIXpO3/+vNF9FyxYILhWATohLItTqbQIrZq1agEtW+pYlB89AkaOhNbKCpUfPdIB\nlD/8ENizBygpYaZJoGARlJVRJpNJ6j/mcsKxUk6wvgeFFVOpVEbRhwq5AoGVAtHTvieiRkfh6din\nWNl+JVoHtAYHDney72Dq2amoub4mqq6tivFh4xERE4ESjTE4m+d50ihQmrzzSo5hR9eLpaWl0W5c\nL9Sgt7KyEmFAANpqU1JSQoYYUubJmJgYcoKl7svyk5fXj/u2FCIbGxvRguPl5SXCi5TGO8PzPPr3\n74/Lly+jdevWpT6P53lUq1YNH3/8MWbOnIlr164hNTVViDjy8fExe8deu3ZtzJ8/Hw8fPsSkSZNE\nx7VaLSIiIjBv3jx07NgRT58+hUwmE0VS5OTkQK1WC0ki9S41nucRFxcncmMUFhYiPj4eCQkJcHd3\nF+rO2smXJo6Ojhg3bpxwD70Z2svLCxzHIS4ujpxoWZKXl4djx/bjyZNqqFgxDw8eAJ07C7xpAHR5\nlxo0aIDExER06NChTBwaiwAN0PV3lptm+vTp6NevH3msffv2orJ9+/YJmxR9aLKhBcPT09Pstiht\nvFDHZDJZqfnIDEWKIsBykQYEBJDlLHcstaGi5sW0tDTRHOTq6lru7N2sd/7www/JdnNwcMCoUaOI\nK8T3Sk9Px4oVK4Tf9vb2ou/s5uZGKhelgZSNALvVqwMbN+JFRATiR44EvLyA27eB4GAgIABtbtww\n3g28FspaRllmnZ2dyb5ZXrqToqIiJnklJVRAgEwmI8eo3uVaxbUKxjcZj3PB53Cz301MrTQVn9f9\nHG42bnie+Ryrr63G3Jdz4f69O/r81Ae77+xGar6uDaQyLL/zSg7L/0lp2RRoTyaTkZ2SMkXa2NiQ\n1iDKaqO3NJgKpeQkJCSQvn1qgLJ2puVNSipFLC0tRfgkalfLCp3U53gaPnw4yVViKO+//z6++eYb\n8DyPy5cvY+HChQgMDMS4cePIsE5Tyc/PR3x8PFq1aoWrV6/i3r17mDlzplmEcmfPnkXDhg1x6NAh\nxMbGGrV9bm4uaW1xcnKCn5+fkRvGz88Pu3btQvXq1aFUKsuVSd7d3R05OTkICQnBjBkzRHw1+ue7\nuLiYvRPXS82anti7NxUVKwJ//AH06ycHoFPCVCoVxowZg1q1auH58+do2LChYC2lANssJt6kpCTm\nolytWjXMmjWLPFavXj2MGTNGVJ6TkyPiWho9erTQF62srJCdnS3qr1TdWJFY+fn5TLwZtViXlzAt\nPT2dBPKy3AqUawsAGT0WGRkpKrO2tiaxOuZGjUrZeLFYqQFdmhD9psFUmjdvLiozBKcDOjyPoRvX\nyspKEviVpfzA3R2+GzYA0dG6TOi1awMJCfj0yhUdueDYsTqywddCrT2s9YRl8afqRmFyyktmyxIq\n6hGg3YmOlo5o5dUKu3vsRvLkZFweehnTmk+Dr4Uvckty8fPDnzH4l8HwWu6FNvvbYEvUFtxLvmd2\nPd95JYe1YFCTjxR0OovNkurAlPnNwcFBBKIDaFOmjY0NGSFBDYC8vDySF6O8Znkpio9cLjfreSxQ\ndlxcHGrVqlUqP4yDgwO+/fZbXLt2TRSZU1xcjEOHDqFZs2YiEK7eHZSQkICEhASoVCoolUr06NED\nTZo0Mev9DBWg7OxsTJgwQcAH6XchZbUXz/NQKBQYO3Ys7t69i6ZNm+LUqVPYuXOnZOXDysoKffr0\nwZkzZ9CgQQMAwIMHD7B48WLUqVMHHTt2xKlTp4yusbS0LDMfGKBTinr16oV9+/bhxo0b+PjjAJw+\nDXh4AKdPywDsBiCDvb09WrZsibCwMDg6OuL58+cYOHAgNBoNbGxsRN+Z1T5arZYcs9nZ2UJYvqk4\nOjpi69at5O60Vq1aonDZGzduGGGHVCqVKAUFyyJBzRHZ2dmk+Z+1KLIssOZG3ejPN6cM0G0EKKHc\nECxOE8rCw8I2missKxX1HXNzcxESEkLep127dkK/NxTTTaCFhQVmz55tNHc7ODiILAdSlQBra2vd\nu1hbA0OGAHfvAmFhiH//faCgQIfer1YN6NkT8qtXoSYCVFguGqqcmjNZG0Yp1n4pChHLQsnaoOgt\n9nKZHM38m2Fx28WY6ToTL75+gbUd16L9e+2hkCtwPfE6dsXtQt1NdRGwOgBjToxB2LMw8p56eeeV\nHIp4TqVSkUBXys/P8zxprmP5ualJkOp8crncbIXI2tra7AzF1tbWpDWJFVlCRYSV17XF2qWbOzFb\nWFiUynHUt29f3Lp1CwsWLCg1VFylUmHmzJlYv349IiMjjdxBvr6+8PX1lcSC26BBA6xfvx7Dhw8X\nHTt79iwOHDiApk2b4sqVK7CysmL65AEdZ1BoaCjWrFkDFxcXIXx3yJAhqFatGhYuXFjqLrO4uBgt\nW7bEDz/8gPPnz2PDhg1kNArP8wgLC0OHDh0wYsSIMpVPfXtaWVmhbt26GD58OD777DN07dpVcJ1V\nq4bXCT15AP0hk63D6tVrULFiRfj7+wvJGY8ePYpxKfsI6gAAIABJREFU48YJUSymi7iUfpaXl8cM\nm541axa5yAHA+PHjyT5miOHiOA5Lliwxsqx6eXmJxpednR1p7WUJ610oxYeVBuBNsOZS7aZSqci5\nkQUEp9z+lKVUpVKJ+hiLdVnKopqdnU1aCXieF1ixTaVatWqisidPnhhlQnd2dsbevXuNzrGwsJD0\nLUTlHAe0b4/UvXt1Cs+QITrg8tGjcOjUCUO3bNElCDVYF1hcMtR6QLlznJ2dUadOHfIe5grV9jk5\nOSSkgNUWlOVdpVKRlnFra2sEuARgTKMxCPssDOlT07Gv6z4EOgTCy84Lr7JfYf2N9ei4T5wKxFDe\neSWHGrTu7u5ko1OmUJVKRXK3UNfzPE8Sd1GhoQCtELGy3FILJuUT5ziOtAZRkxRLeaLEXOuMvg5v\nA++TlZWFBQsW4ODBg0wTvKG4uroiNjYWY8aMQYMGDdCnTx/s3buXVA4pKSgowIcffojp06fjjz/+\nwI0bN/DVV18xrYM8zyMqKgqtW7fGihUrkJycLFJUeJ7HixcvsH//ftSrVw+xsbGitoqPj8fMmTPR\nrVs3o2O5ubkC2WGTJk0QHh6OiRMnonHjxrCzs0N8fHypitGWLVtw6NAho7oEBASgd+/e+P7773Hu\n3DkhKWFxcTHu3r2L5cuXo0ePHnB3d8fHH3+M6dOn4/Tp06hTR4UjRzTguGJotaPw6tVfbMV/haBz\nWL9+PZYsWQIfHx/RokjlJHJxcSHdw6VFaLEscF27dsWwYcPIY6b8M9nZ2UZWP4VCgV/1VM+vxdHR\n8Y1kZGaFoFMBDuW9b1FREQmK9vT0JHfdLHcQtVF7/PixaE6wsbER5WhzcHAwm/9Lqgu9QYMGTMLP\nPn36kOWmFqiDBw8a5Xfz8vIi50uqvmlpaUwOIA8PD6BOHZ0L69UrYOZMaF1d4RMbC/TvD7z3HrBi\nBZCTw/z2lPJDKdoKhaLUTZWhSEl4mpeXx1y/zBW5XE5SHphuMO0t7dG1aleM8BmBhEkJuDbsGma1\nmIV63vVKvf87r+RQSgPLfFurVi1Rmb+/P7nbf++990RlJSUl5L1ZuBJKIZICCGMtaNRETPl8rays\nzOYvcHZ2NpvUkCXURGVvby8atBTXSnZ2NtRqNRo3blzm7vb999/HypUrjUjGeJ7H1atXMW3aNNSs\nWRMTJ04UTSw8zyMlJUWISuI4Drdu3cKiRYuYZHWUFBcXY9GiRejfvz+2bNlihAuLi4tDQEAALC0t\n4eHhAaVSiYSEBMTFxYkmqYsXLwqRVnFxcdBoNALZoWnfsbGxYbpz9GJvbw9PT0/BVbd48WLcv38f\nq1atwpQpU9C6dWsmO3JxcTEuX76MJUuWoH379qhYsSJ27x6KBQueQyYD5s0DDJJJC+3JcRxmzJiB\n3bt3i3Ad1tbWoh2zra0tOQGX5rahwNl2dnZYs2YN2Vc++OADtGvXTlRumnX6ypUrOH78OPlcc+tm\nrlhZWZFuZiluKUrS09NJS05pOdgoYS3kpi53uVxOhqZLySJurmg0GqZ1LyAggLS4AuJ34ThOYFrX\nS2pqqmjOlJKKJyUlxdjy5O0NzJ+P9MhIxM6YoTOHxsQAkyYB/v7ocPas7reJUEoOS5kxVNT0QrlA\nnZycyPuylM7yblhtbGyYVBCU2NnZQcbJ0EjZCPNazcOfI/4kz9PLO63kcBxH+p1Z/CiUksMiqKPu\noVQqSdOeEW34a1GpVCSbKSs0mHKZsTBElKmVtQOlds2Ua8vKyspsJUfKwHB0dBQpOQqFQvQOLEZY\nQ/noo4+wa9cu/Pnnn/jss8+Yrqz8/HysXLkSW7duRUFBgeDGSkxMhIuLixCRxMrBZCpyuRy9evUS\nKag3b97EtGnT0LBhQxw7dgyAOLePTCaDUqkUgZEBYNq0abC1tRWOS00waSjOzs6YOHEiWrRoIbjq\n/P39YWtrCzc3N8TGxiIxMdHs75aYmIg9e/Zg7tz6GDxYl9R03DjgNR+fIJ06dQIAfPHFF6TCUB7r\nRXFxMVMp8/DwYHIvzZkzhxw7pu0rk8lEmC6tVityB0tdCFguWnPbQmpouhRFicWwzHJjUULhdwx5\nbKQKC9tUGkh98uTJJObM1tZW6JOGYpoJXaVSYf78+aJ6mPudVSoViVsplsvht2ABEBWlC0MPDARy\nctDs6lWgcmVgwADAQEmklEOWy5TqPxS+TwrpLIWnA94MeJml5LAUV5a800pOXl4emc+D0rwzMjJI\nkxprYaUmUJYLhSp3dHQk84dQShnP82SHYC161OBiucGoAcMiBKOsQdR9pUzC+vMNxdPTE6mpqUaY\nnNJ2rzzPY8+ePbh8+TKCg4OhUCjg7u5e5o53zpw5GDBgAI4cOYKCggL4+vpKCtn+4IMPMHPmTNy7\ndw8///wzOREXFhYiNTUV3bt3x1dffQWNRsP0v+v7pbu7O3bu3ImhQ4ciLy9PMm+EoTRq1Ahz5sxB\nVlYW5s2bB6VSiZCQEBw/flz4RtbW1vD392ea6UsTjuPQosVzLFum+x0SAjx+/NeC2KBBA3zzzTfQ\naDQIDw/HlStXjK6n3s3V1VWkaNvZ2YksHXK5nOxnqampTOtpz549mQzLlNvDdHG2trbGli1bjMqk\nhKED0hYIauGi2kKqsOpA0TXwPE/iPXieJzdwVDj0zZs3RS4ve3t7kevYyclJ1CdKw/hRYzwhIYGZ\nkDckJIScd6n7bNu2zSjaValUkqSdUhVcjuMAmUxHKBgRAdy8idgWLXQnHDwINGoEfPIJ8Msv4Ak3\nIUvJoWAVLGu/uUkzWS5aqr3y8/PNCmbQC2Xd0Wq1TMWVJe+0kgOYb+4tLCw021XEiqZgXU9ZZypU\nqEDWg9pJcRxHlrPCnKm6sXa8lJLCModSnZ0qY+F3yrvbpa5/9eoVatasic8++0z0jpTCYqhEpqen\n49ixY/j6668Fnp2NGzcyd9Tp6emIi4tDixYtcO/ePdy+fRvz589n5tsyrfvGjRvRqVMnXL16leRT\nAnRKgT4flT7BZpcuXfD555/j+vXrZj2natWqGD58OP744w9cu3YNPXv2FI6npqZi165d6Nq1K+rW\nrYvt27cL7SqTyZi7K1OpVKmSEKYfEhKCyZOBb77RYSkPHOgJQBfSGxgYiMWLF+Pzzz8Hz/Po3Lmz\nEZEmpaTY2NiICDSdnZ1Fi5+FhQXZf0tKSsiNTGFhIbp06UL2rQYNGpAsylT9Dh8+bNQXLSws3ojS\nQVmXKIWYleNOirDmQKrd7OzsyI1alSpVyHmFeg+tVitSGB0dHXHmzBnRsyjrgxSQularJce+o6Oj\nUQoIQ6FwXfn5+QgL+yuyRyaTieYHT09PyRsDkXz0EYq3b9eljpgyBXByAi5dAnr0wMjVq4H1641I\nqVjRl1SfYM1l5lpn5HK52dgpZoi9BCkpKSGV0NLknVZyWNwB5aXAzs/PNxuMxTKps5QOylTn7u5O\nPo+yPKlUKtIaxHK9UPVgWX2oCZdlZZDig2d9D8Nv5+3tLZpMEhIS4OvrW6ZyqlAo0KNHD2zatAkX\nL15k1uHy5cv46quv0LJlS5SUlKC4uFgA+sbHx8PW1hZ+fn5o2bJlqXm2DMXU4vfgwQP07dsX7dq1\nw+HDh42OKZVKMpdWUVER9u7di2bNmuHrr78WKZCG7M5Lly7F48ePsX79evj4+JRK0//gwQMMGzYM\nI0eOLPM9LC0toVAoULVqVYSEhGDbtm344YcfjDBoixcDX3wBqNUKANPQq9dctGrVChzHYdu2bZDL\n5cjKykL79u0FYkhWKCpVb1a/NJXSUohQFh6e5zFjxgxygqYikJ49eyZi2Gb1K3OluLiYHOOsqCQp\naQDMlczMTDKXmlwuJ79T/fr1yftQijLHcaQbnMLvlBfczfr+lStXJoHVPM9jxIgR5DWmLvro6Ghs\n2LBB+E251lnCUiKB15xF/v66ZKCxscCqVUClSnBJSwPGjNEdmzEDeE17QQnVliwlh6oz677mKph2\ndnaSEkxT36mkpIS5NrLknVZypCD13wQxHnVuRkaGJB8jK7yUEspCpNFoSP85a4dOARBZ0UPUwGCZ\nTqmJqjwkaCzrUGnuJVdXVyER55EjRzBo0CCzdl3Pnj1DaGgosrKyBKCvUqk029LHcRxatWqF3bt3\nk6zJOTk5ePr0KXr37o0vv/xS2JlVqlQJderUQXFxMeLj40UTrEajwdq1a7Fp0yao1WqjtBV6HNEH\nH3wggHErVKgAS0vLMl0ppnl+AN2CMGDAACFEfcSIEVCpVHj69Cl27tyJtm3bwsXFBW3btsWcOXNw\n8+ZNADw2bQJq1YoCYI/Ll2dBD1/R8/JYWFjg+fPn6Ny5M/Ly8pg7P8oawLJ+mQrLXcp6lq2tLbp3\n704eM7SCGYqp6/b27dskdQOrfqaSl5dHYshYmwUpmbbfllAYxtLKqXmF4gq7dOmSWQoba/GVEmUG\nAJ07dyaB6IAYe8lxnGhzUlhYKAL9UnXLyMggAdw5OTnGCq6DAzBuHDSPHuHl998DTZoAmZm6XUSl\nSuh48CBw5w75jqbC6j//r73zDo+qyhv/Z0qGlEkhhCRAEgOC0lWQGBBwLVRxqcFFYNV3FV8FsSMI\nFoosioKiawFXRSmiWBZkwZ9YAAUVBBFlQVCEhBBCKAHSy/z+uJkhM/d7wlwJLr45n+fJA3Ny5+be\ne+4553u+VTJXqQQiK/5fZ6Pu4emo00IOEHQ9j7OFFRVeTanuJaTzRkVFie0qFaCUJVVycgZ54VEN\nDEmit6Ji93g8pr4LjLxxOByi4FVUVMS+fft4/PHHmTFjhs+c5Ha7g1KF5uXlMWjQINLS0hgxYgTz\n588/rdP1iRMnSE9PZ9q0afz44498+umnjBw5Uukc7n0H582bR3p6Oj/++KNvkmrQoAFNmjTxRb8F\n3mNRURF5eXlBla1wu93KTLhgZFueNWsW2dnZ7N+/n5KSEnbt2sX69euZN2+ez1lZuo8TJ07wySef\nMHnyZDp16kTTpk257ba/MX36Pq666k/k5Njo0QO8cqXNZqO8vJyGDRuyadMmMjIylLt2yRcusCwI\nGO97oDYxISHBko9MSEiI+PySk5MZOnSoqd1ut5vMx06n0+RvFB0dLRbylSgtLRU3M6q5ShLWpbHg\nLUwaLMHUHPOi2mBIOYvKy8vFiFRpXOXl5Zk0SrGxsaZ6gQ0aNBAzaUscPnxY3BQWFxcrkwxecMEF\nopNyoCnV6XSanJQlXxbVtanK2xw8fJjz7rsPNmyA9eth8GCoqKD1pk1w8cXQowesXOkrCir5iapM\nW5LWRuWnYyUrdG3kdbJKnRZyakOCPFsCkUqbdKZ/T/V9lUOY5NejcraWNBkqKV/aQagm22A9/WNj\nY/3MGJKjbFFREUePHiUlJSXoMNlLL71UtMnv27ePhQsXctNNN9GsWTPuuecen/nA4/Fw4MABnzbF\n4/GwevVqJk6cGJSPTvWd27Zt27jqqqtYvHgxL730kq/dG1lVfTHp1q0bN998M4mJiWf0fjdq1IhL\nLrmE9PR0jh8/7gtnT01NpXnz5iQkJFBYWEhmZmbQ6vi9e/fy6quvMnjwtXTsOJVLL4VffjEKelaX\nQ7p27UpcXByrVq1i4sSJ4jtUUwHS6kRGRppKV9jtdks+HKpNyPXXXy/u/jt06CAKjoHvYlhYmGjG\nsuJEq9IeSs69v/76q6ktJiZGFCTPdJ6prKwUn5vNZuPCCy80tTdq1Eh0Upbuz+l0miK0wsLCTFm7\nayPyJy8vT5nzbNy4caL2Ser7zz77zM9cFBUVJQpqqqSsKnzPuHNnWLoUdu0ic9AgiIiA1auhb1+j\njMQrr2AXxqlqzpWem2oul+bnYE3HYM1c9Vveyzot5ACiT87viUpwqQ213pnWiVFVAFft/CW/HpUp\nTdoVWBlwwdZiCZzojhw5EpR3/kUXXcTkyZNZt24dH330EZ06darx+GPHjvHMM88wbdo0srKyyM7O\nJj4+3mfKUhUaDeSCCy7gtddeM5kwc3Nzefnll7n99tsZP36838TiFTJatWrFokWLqFevHp988gmP\nP/64aXdbE1FRUQwcOJDnn3+e7du306ZNG5YuXcpNN91EfHw8I0aMYNmyZb7JrmHDhiQnJ5Ofn28p\n029FRQVr1nzIv/9t1DD8/nsjkMTjMRa048ePs2LFCsLDw1mzZo2p6KLKLq8SWiUNT7DjS7VYe6Pt\nJKSITZDHguTjYgWVqVvaoWdnZ4v9ZCV7b7DzpaqOV1FRkehbpBpfquSDki/Shg0bTG1SxKcVVM+h\nfv36Sg2PpN0Bs0/M4sWL/cxxqjI2KsQFv1kzPLNnQ1YWPPEENGkC27fDrbdy/qRJMHkyVBOAVZoc\naROqSvYqCT8qDf6Zrmu/ZeNW54Wc/zaqmiK/t/1cQpXLQZVfRiy+pljcpYVDJf1bqdUUOIgaNmzo\nN9GpUrKDMTBPnjzJypUr2bBhA4888ghdu3ZVltgIJDY2loKCAr7++mvCwsKCrnXmdDrp3bs3b7zx\nBtu2beOmm24S+99bVuCJJ55gwIABJlX+zJkzSUpKwu12Y7PZmDRpEq1atWLw4MEmU4mX3NxcPB4P\nixYtIisri2effZbRo0ebIvCOHTvGwoUL6d+/Px07dvSLKmnYsKHShBlIx44dmT17NlOnTq2qbwVJ\nSUawSFHR64CT888/n7S0NN555x3sdjtz5871c+ZUFbxUhYVLk7OU5DIsLMz0rtntdnESP3r0qChg\nOBwOpf+OpKmQCgRbcc5UpYmQNAzh4eGiUCWFPasIdkNmNZJGlWfn4ovlbLbS+yYJ9OvXr7f0PIPB\n4/EQERGhzKV0xx13iN8LdCouLy/308yCMe9b2TBIOBwOiImBceOMiKwFC+CSS6hXVASPPWY4KY8a\nBf/5j3LOlTacZ+p4DNZMW9pcVUtINuazJVlKnWa10m2w51W1W9HkWKGiokLU5KgmYSmKwIppy1ub\nKZDTaa9UuV4OHTrE0aNHadmyJb179/ZTk0dHRwcVLXfkyBFeeOEFhgwZQlJSEj179uT5558XI8xO\nnjzJ/v376dixIzt37mTlypWMHDlSqfkC/0ieDz/8kL59+3L8+HFcLhfR0dG0bdvWtKCXlZXx3nvv\n0b17dx5++GE8Ho/Pv2b//v3Ur1+f9u3bM2zYMCIjI4mLiyMzM7PGifa7775jwIABpgzAKuLj4+nd\nuzevvPIK33zzDXfffTc9e/YEICXFEHQaNIDy8t64XAsYM2YsYOyIR4wYAcCYMWN4//33AbWTqCrr\nrmTyyMvLM20u6tevbymhpURZWZnoWOtwOMTcLNK7LQkdVjc9kgbWZrOJmg2pH6WNQExMjCh01MaG\nTGWakDKJV1ZWikKRtDDXq1fP5DifkJDAtm3b/NqkEiKq68rJyVH67o0aNUrU8DmdTq644gpT+9q1\na/0+R0REmAQfu90e9EbY5LsVEgLDh+PZtInU114zVKYlJTBvHrRuzbUvvACffurz2/EiPUuVk7KV\ngBHpPlS+PrW10a/zQo7EmS74Docj6GRKVmvSnGnk19myf6pyA6lC06WdmCpqS9pBnIlgGJhQLD8/\nn5CQEGVeoUAaNWpERkYGb775pvKYoqIiPv74Y+68805atWrFypUrKSgo8AkX5eXlNGnShMsuu0zc\n4QcycOBAxowZ49f21Vdf8eijj2Kz2cjPzyc3N5eDBw+yf/9+04RdUVHBtGnTWLJkCYmJiT6n5EDn\n0LCwMJKTk6moqKjRITU5OVnU3CUnJ5ORkcGTTz7py3GSm5vLqlWruOWWW2jYsCH9+vVjxowZPvV9\nq1aGf6TNVkBp6fW88kob35zbpUsXwHgXhw0bxhdffKGsdaTSnEnvZUVFhTg5S6HpVnaqFRUV4nWk\npaWJ1yEJz5LvjNU5SXLiVZ1HqhaemZlpEs7Dw8MtaVUlpHlG9cwOHTokOilHRETQoUMHU7tkrrTZ\nbCYNj9Pp9NNEgjEPS4Kd9LxUJsyjR48qSwJlZGSIfSIJDt7oSC+JiYlB19PLy8uTnfIPHaLJ8OFG\nFuUdO+C22yA0lJQffoCrr4YOHeDNN6HqGUhrkkrICbZmoYqzZdryUueFnGBtzFYS2Lnd7qAjFqzk\nUbDKmQprVoQnVY0WVYSFZMZShXBK91FcXPybcxwF1mYpLCw8rc9MaGgoI0eO5N133+Wnn37i1Vdf\nPa2fjpecnBzWrl1LWVmZT7gItgRDu3btWLx4Me+99554jdXTzU+ZMoXGjRvTpEkTpXN4bGxsUGaE\nmJgY0SQUHh7O7bffzrp164iJifHVuRo0aBA//PADa9euZcmSJTzwwAPizvXIkSOsWLGCCRMmkJaW\nRvPmzRkzZgwHDixjwYICXC6jxtXjj/t/r1mzZpSUlHDdddexd+9eSyp9ScPjcDhEoTrYxG1Ww2Gl\nRRnkiJe8vDzTnKAqmqjanEiaBo/HI5rYJNOd3W4Xk0sGah685z0Tjh49Km6GVOby9PR0USiSqoqD\nvCEKLNMAiBF3Vu7t5MmTSrPtQw89JLZL+bR++eUX1qxZ4/tss9lEc7OVDWt5efmp2nAXXggvvQSZ\nmWTeeivEx8N338Ff/wpNm8KMGbiETYRqTQtWOFSh0gTV1rpYp4UclTZA0hxERkYGPbGGhYUFPSGp\noiasUJPqPBCV1H2mCRCtTnTSDlbl6yMJSqoBEKyGp0GDBj7TRGJios/fJZDDhw+TmZnJxIkTeeON\nNxg0aBButxu32y0mW5QICwtj48aNzJ49m88///y06t3S0lK6dOnCggUL2LJlC3/5y1+Ux3o1HWCY\nsF588UXfOQLp3Lkze/bs4aOPPrKck6hTp07MmDGDpUuXsmHDBqZPn86aNWt8da66detGmzZtSElJ\nITMzM+gokZ9//pl//OMf9O/fn2XLxvLqq8XY7fDww1B1K4Cxq7/uuus4duwYffr0sVTrSFp43G63\nKOxJu0pp3Dds2FA0b6hQmSGlnX9lZaWp/2JjY4PW8KjKVpSXl4vClmonLfnvSNcgoco2rSpiKT0f\n1bymyuml2nRIgt2ePXtMY2Dv3r189913fm2SO4FKwFVpEuvVqycKMx6PhxtuuEH8TqCw/e2337J6\n9WrT98+IuDhsjzxiVED/5z+hTRvIzoYJExj24INw551QTQtWVFQkzhuSdk+1zljx05Len9+SS61O\nCzmlpaWizVea1MLCwsRJTTJLWQ1RlagNpyvpRasNlWNtXJs0ganC2KUdt5QnB+Tdhir7pvdZ2Gw2\noqKiTP4YWVlZvrpNKlW4RKDGpaioiE8++YQpU6Zw5ZVX0qxZM+677z5TPo3jx4+TmZnJkSNHWLRo\nEcOHD6/Reblbt2488sgjfm2TJ0+mqKjItHBFRkby8ssv88EHH9C7d2+aNGnCzTffzL/+9S9x4igo\nKOD8889n6tSpfP/993z88ccMHz6cCy64gO+++47nnnuOXr160a5dO6ZMmeKblO12OykpKYSHhysF\nRxXvvvsuLVp8j9clYfRo2LTJUPGfOHGChx56iC5dupCZmcmoUaOCrtkl9ZMVh90jR46YhA5VwIBV\npIzJdrvdpNW02WxiskOV+Ue6j3bt2okbCVWElpS8UFrQJIFaylGjut7aiBr1eDx07txZbJdC1svK\nykznCQkJMWmqGjZsaPJZslLDTZXfCAwTpioSLykpye+z0+nk7bff9murX7++KZS+prlZmi/tdjuE\nhsL//A9s2warVkHPnjhLSuD556FFCxg0CL78Ejwe8Z2XTMcqJ2Wp71SCjzQvlZWVWTaP1WkhB+RQ\nRFWq9GCPhTOrnlxbSBOd6gWxkk/ibDlmq4QcyYylGhhW0pFXfxYxMTGcPHnS1+Z1blVplwK5+OKL\nmTBhAmvXruVvf/tbjcfu3buXWbNmkZaWxo4dO8jNzSUrKwuPx0NycnJQvkE33ngjK1asMAlfBw8e\nZP369SZB66677vIropiTk8Prr7/OgAEDaN26NS+88AL5+fm+MhUlJSU89thjTJo0iXbt2pGfn09S\nUpKpj3744QceffRRWrduzcsvv+xr95a4CAan00mfPn1YuXIlaWlp3HqrkbzV44HXXrsS6InL5aJF\nixYsX76cli1bcuDAAQYMGPCbfbNU5knpHXS5XKJDsrRhsLIBKC8vF59RXFycqL0M1i9DdQ0qU4rK\nj0RavLZt22baSJw4ccLkLK0qjipRGz6Fubm5Sofv7t7iltVQFeiVot0C/XdU92ZFqwbQu3dv8Rq8\ndfICCcz+HBER4dPceomLixNTJgQ1D9tsRtKqjz5i7/LlcPPNhuPy++9D1670euwxnO+9ZxSgq4a0\nsVSNSyuZxqVrdrlcluvA1Wkhx+VymRJIgTpkWXq4KhOWJPxYqddUG0hCjhXhoLS0tFZ2q8GiGohS\ndIzD4RB9cqTrVfVnoCCanJxMdnY2EJxD+KFDh5gwYQLffPMNmzdvZvr06XTr1i3o0PHY2FgKCwuJ\niYkhKSkpqOSEqampvPXWW7z++uviouVyuUyRJ6GhofTv39/n8BzIzp07GT16NKNGjfKVqQjc3YeG\nhvqejcTRo0cZO3Zs0FmrnU4nrVq1YsyYMezYsYN///vfXHPNNb7fP/gg3HsvVFQ4gPe4+uqJNGjQ\ngNjYWFatWoXD4WDNmjX89a9/9U2cVoRy1e5aeqYej0ccS5JJzsqCrcqyK9WWA2sZwa0gCQEgO/Lm\n5uayefNmv7Z69er5+ZB4CVYADQ0NDVpgVPm9qLRXl156qdjXqtIS0ibw66+/Nl3LwYMHTQu2lSSO\nBw4cUJrdRo8eLc4hkol/6dKlfps4le8WmP1Py8rKxGdWWFhI1OWXw6uvGqasSZMgNpa4n3/GPmwY\nNG8Os2dD1RonzZMqQUTacKrGjPQMfkuRzzot5ERERIidYSV9teqFks6r6vizpfWxMrlLqKTm2vDJ\nsYKkyVHdh3QdVkx03gHkre8k3X9ubi6ZmZmWD25oAAAZpklEQVQkJiYyffp0OnXq5Pesg80Zk5mZ\nyYMPPsjTTz992nDs/Px8mjZtypYtW7j++uuVx40ePdrkzJqens6ll15KkyZNauynTz75RPn7+Ph4\n4uPjlYKOw+HgwQcfVIbap6SkkJGRwcyZM7nlllsoLy/nP//5D88//zxpaWn069ePJ554wreA2mww\ncyakp+8EIvjqq0l4Exefd955JCYmEhISwjvvvMM999xT431ZeTclDY/H4xEFbUl4tppLRBqjkjOy\n6hzBancqKirExUEVjg2yhsdms4laLclJOdhEh1IFeZDvt6ysrMZ6dNK5JaQM5iDnWjpy5IjpvfdG\nT1YnOjralD3abrcrA1YkAaOoqEipCZa0O7m5uVV14U7x8ccfm9YwlZZJErKPHTt2yhE8MRGmToXM\nTH4dN84wX+3da+xAkpPh/vsJF4T9kpIScSxYKRyrel+1kGMBl8slVsq18hCtCESqnZjUXhsaFCtC\njjTgQkNDg7a3qpKmSVitwSVdm9PpFG3M0rEqJ2XpPgoLC32DLiEhgcOHD/tNUvv378ftdpOcnGxp\nsm3RooXp2oqKili9ejUPPfQQ7dq1o3v37qbifiUlJezbtw+Px0OnTp1qjMryhmYHkpaW5vt/Tdd8\nww031CgQOJ1OUw4Ql8vFwIED+fLLL5kyZQpg9G92djYHDhzg9ddfZ9u2baxZs4a3336b+++/35TF\n1htxNX78eDp27EiLFi246667WL/+C6ZOPUDfvmUcPWqnZ0/w+r16BV+Xy8WcOXN46qmnakXQliIE\nXS6XKOSoFmGpTIKV912V70cSICXzisSxY8fEdycnJ0fUKJSXl9O7d29Te1xcnCgIBvqGgJGIL/AZ\nVVRUmMadlUg1VZSr1fxfKiGnukm3+rkD52OHw2GKeIqMjDT5MVnx3wHjuUsm8tDQUIYPHx7UteXn\n55vmESlPk6Wgl/BwHGPGGOHny5bBFVcYmpynn2bg/ffDsGEQkNFZ2iCqnJSlflKVBQlWU+47j6Wj\n/49hs9nEyUtV7l4SEFS5XVQToISkaVAJRGfqvKx6qaXFz0rUlpV8P6pwcyuows2l+1AJX5IgWlFR\n4bdTTU5OJjMz0+8Yle9QIB06dODhhx9m/fr17Ny587RatHXr1jFkyBDeeOMNPB4PWVlZvjpbpws5\nv+6661iyZIn4N6RQ7up4d23PPfcc8fHxDB48mJdeeqlGx+GOHTsyffp0du7cyfz58/nggw+44447\nWLZsGTk5OSQmJpKSksKNN95I27ZtSUxMZO/evUGZbHfv3s2cOXPo1q0bzz03mxdeOEr37kbgR8+e\n4HU5KCsrY+DAgQCMGzeOhQsXms5lVfCR3vnIyMigNwyRkZGidiVYHw7VNYCcUVwymcXExJi0LaqI\nT5X6PzU1VSyp4HA4RGdpKSjj0KFDpmilsLCwU6HMvwErpi1Qh1OrAgkuv/xyU3tERIQYki85gq9c\nudJ0zmA13yqTG8CAAQNEM6bb7Tb1h91u54svvvBrS0hIMJW9iIyMFN0qatSs2O1GQsHPP4dNm8Ab\nHfbWW5CWBt27wwcfQEVF0GassrKyoMepzWbTmhwreDwe0UygUrmrJGwJK7t8K4mXzpZfj3S9qiRd\n0k7KipCjijiwsttV+eRY8UOShLXQ0FA/1bnNZvMrDaFKIuclLy+Pyy67jA0bNrBx40amTJlC586d\ng941JSQk0KhRIzIzM2nUqNFpnZA9Hg+DBg3i7bffFoWvtm3b0qtXL+X3+/fvz6JFi3yfDx8+zHvv\nvcftt99O8+bNGTRoEJ9++ikej4f9+/dTWFjIpk2b2LRpE/fffz8Oh4MTJ05QVFTEiy++SP/+/enR\nowfTpk3zU/GHhoZy3nnnUVBQoHTWl1i2bBlr137EsmVGYeVdu6B3b6isNMZoQUEBs2fPBoxcJO+8\n847f94uLi5VFLCWkyVY1xlXzhKSFlcwxVvx3QK4ZV1paarrm8PBwU6h3eHi4pblDtdgmJiaKOW2k\nZ2y3200mK5vNJtaYCvbaVEn7VE7KUntubq5olmrZsqUYada2bVvl8wjk22+/NWkrvOPjdNerKhWi\nym8ExuZG0qwFJrW02Ww888wzfm1ut1vcTAf9XnbsCAsXsvezz+CBByA6Gtatg4EDueJ//5fQ116D\nAKFG+nvFxcXimiLNs78l5UqdFnLsdru4MKgcQKVJTeV/oYrSCBYrdZxU5hirQkMglZWVovAjTeL1\n6tUL2uvdimlLhUplKbWrBM5g/SciIiJ8icKSk5P59ddfTcccP36cffv2ERERQa9evUhPT7e84wBj\ncpo6dSqLFi1i9+7dNR5bXl7Onj17GD9+vHIhHjdunPhMIiMjefrpp5kzZ45yAi8pKeH999/n6quv\nZtKkSTRq1Ijzzz+fjh07AkbBx+TkZBo3buz3rm3fvp1HH32UNm3a8Nxzz/mdU2XukLj44ouZN28e\nI0aMIDraiG5t3hy2bIGcnJcBY8G7++67ue+++6ioqGDkyJF+jrEFBQVBa95UqMaRNB9UVlaKfaGq\nn2RFwyMleKxXr554fVIWYwnpuzU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- "text": [ - "" - ] - } - ], - "prompt_number": 119 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "icount = 600\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n", - "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", - "ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", - "ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) " - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 80, - "text": [ - "" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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- "text": [ - "" - ] - } - ], - "prompt_number": 80 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print data[0].shape" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "(180L, 2000L)\n" - ] - } - ], - "prompt_number": 81 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from JSAnimation import IPython_display\n", - "from matplotlib import animation\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 8))\n", - "ax.set_xlabel('Easting (m)', fontsize = 16)\n", - "ax.set_ylabel('Depth (m)', fontsize = 16)\n", - "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", - "ax.set_xlim(extent[:2])\n", - "ax.set_ylim(extent[2:])\n", - "ax.text(0, -3.8, '$V_1$ = 400 m/s', fontsize = 16)\n", - "ax.text(0, -10.8, '$V_2$ = 1000 m/s', fontsize = 16)\n", - "ax.text(0, -20.8, '$V_3$ = 1500 m/s', fontsize = 16)\n", - "nskip = 80\n", - "def animate(i_id):\n", - " icount = i_id*nskip\n", - " frame = ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", - " ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) \n", - " ax.plot(rx.locs[:,0], rx.locs[:,1]-mesh.vectorCCy.max(), 'r.', ms = 10)\n", - " ax.set_title(('Time = %5.3f s')%(time[i_id*nskip]))\n", - " \n", - " return frame\n", - "animation.FuncAnimation(fig, animate, frames=25, interval=40, blit=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "html": [ - "\n", - "\n", - "\n", - "
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\n", - "\n", - "\n", - "\n" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 117, - "text": [ - "" - ] - } - ], - "prompt_number": 117 + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: pylab import has clobbered these variables: ['linalg']\n", + "`%matplotlib` prevents importing * from pylab and numpy\n" + ] } ], - "metadata": {} + "source": [ + "from simpegseis import *\n", + "%pylab inline\n", + "from SimPEG.Utils import mkvc" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "You are good to go:)\n", + ">> Stability information\n", + " dt: 6.00e-05 s\n", + " Optimal dt: 6.67e-05 s\n", + " Cell per wavelength (G): 2.00e+01\n", + " Optimal G: 1.60e+01\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/isisilon/.virtualenvs/main/local/lib/python2.7/site-packages/numpy/core/numeric.py:190: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", + " a = empty(shape, dtype, order)\n" + ] + } + ], + "source": [ + "# Step1: set time\n", + "dt = 6e-5\n", + "ntime = 2000\n", + "time = np.arange(ntime)*dt\n", + "# Step4: set mesh\n", + "cs = 0.20\n", + "cs = 0.20\n", + "hx = np.ones(500.)*cs\n", + "hy = np.ones(250.)*cs\n", + "mesh = Mesh.TensorMesh([hx, hy], 'CC')\n", + "# Step2: set Tx and Rx\n", + "tlag = 0.008\n", + "fmain = 100.\n", + "options={'tlag':1./fmain, 'fmain':fmain} # You need to set waveform to set Tx\n", + "nrx = 180\n", + "xtemp_rx = np.arange(nrx)*0.5+0.5+mesh.vectorCCx.min()\n", + "xy_rx = np.c_[xtemp_rx, np.ones(nrx)*mesh.vectorCCy.max()]\n", + "rx = AcousticRx(xy_rx)\n", + "\n", + "tx = AcousticSrc(np.r_[mesh.vectorCCx.min(), mesh.vectorCCy.max()], time, [rx], **options)\n", + "# Step3: set survey (pass txlist)\n", + "survey = SurveyAcoustic([tx])\n", + "wave = tx.RickerWavelet()\n", + "# Step5: set problem (pass mesh) and pair with survey\n", + "prob = AcousticProblemPML(mesh)\n", + "prob.pair(survey)\n", + "# Step6: set boundary\n", + "prob.setPMLBC(20, dt, bcflag='left', const=1.)\n", + "prob.storefield = True\n", + "# Step7: set velocity model and check stability\n", + "v = np.ones(mesh.nC)*400.\n", + "v[mesh.gridCC[:,1]]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print time.max()\n", + "mesh.plotImage(v)\n", + "plt.plot(rx.locs[:,0], rx.locs[:,1], 'r.')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Wt6544AFYvNgXmZlZ7+qZQID2AmGsbl3x0EOwaFFr+5iZdZOeC4Sf/SyZr2/WWCwq79sH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\nWcqBYGZmAPx/NyPP2NRcMGwAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(time, wave)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + ">> Start Computing Acoustic Wave\n", + ">> dt: 6.00e-05 s\n", + ">> Optimal dt: 6.67e-05 s\n", + ">> Main frequency, fmain: 1.00e+02 Hz\n", + ">> Cell per wavelength (G): 2.00e+01\n", + " Src at ( -49.90, -49.90): 1/ 1\n", + ">>Elapsed time: 5.47e+01 s\n" + ] + } + ], + "source": [ + "# Step8: run forward\n", + "U = prob.fields(v)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Step9: project data\n", + "data = survey.projectFields(U)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# from IPython.display import set_matplotlib_formats\n", + "# set_matplotlib_formats('png')\n", + "# matplotlib.rcParams['savefig.dpi'] = 200 # Change this to adjust figure size" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "../simpegseis/UtilsSeis.py:48: RuntimeWarning: divide by zero encountered in divide\n", + " time = np.sqrt(x**2/velocity**2+tinterp**2)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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T4imM6CFOjrOevdJSuQ/u/xZupLy8nNDQULvynj59mpMnTyKEsBgEpk4XFBTE9ddfzx//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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure()\n", + "kwargs = {\n", + " 'skipt': 2,\n", + " 'scale': 0.05,\n", + " 'lwidth': 0.1,\n", + " 'sampr': dt,\n", + " 'dx':0.5\n", + "}\n", + "extent = [-3, 90, 0.12, 0]\n", + "fig, ax1 = plt.subplots(1,1, figsize = (8,5))\n", + "ax1.invert_yaxis()\n", + "ax1.axis(extent)\n", + "UtilsSeis.wiggle(data[0], **kwargs)\n", + "ax1.plot(UtilsSeis.PrimaryWave(7e-3, time, 400.), time, 'k-', lw=2)\n", + "ax1.plot(UtilsSeis.ReflectedWave(7e-3, time, 400.), time, 'b-', lw=2)\n", + "ax1.plot(UtilsSeis.PrimaryWave(0.032, time, 1000.), time, 'r-', lw=2)\n", + "ax1.plot(UtilsSeis.PrimaryWave(0.048, time, 1500.), time, 'g-', lw=2)\n", + "\n", + "ax1.set_xlabel('Offset (m)')\n", + "ax1.set_ylabel('Time (s)')\n", + "ax1.set_title('Common Shot Gather')\n", + "fig.tight_layout()\n", + "fig.savefig(\"model1_data_with_lines\", dpi = 200)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "icount = 600\n", + "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n", + "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", + "ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", + "ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(180, 2000)\n" + ] + } + ], + "source": [ + "print data[0].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
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ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) \n", + " ax.plot(rx.locs[:,0], rx.locs[:,1]-mesh.vectorCCy.max(), 'r.', ms = 10)\n", + " ax.set_title(('Time = %5.3f s')%(time[i_id*nskip]))\n", + " \n", + " return frame\n", + "animation.FuncAnimation(fig, animate, frames=25, interval=40, blit=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } - ] -} \ No newline at end of file + ], + "metadata": { + "hide_input": false, + "kernelspec": { + "display_name": "pymain", + "language": "python", + "name": "pymain" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.9" + }, + "toc": { + "toc_cell": false, + "toc_number_sections": true, + "toc_threshold": 6, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/SeismicRefraction_model2.ipynb b/notebooks/SeismicRefraction_model2.ipynb index 2c4bd25..f0a2804 100644 --- a/notebooks/SeismicRefraction_model2.ipynb +++ b/notebooks/SeismicRefraction_model2.ipynb @@ -1,8144 +1,703 @@ { - "metadata": { - "name": "", - "signature": "sha256:ced47ae41d965342e50586eafee842853368deb4bfb23011f2a5706322b97e68" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ + "cells": [ { - "cells": [ + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# add simpegseisc directory to path\n", + "import os\n", + "if '..' not in os.sys.path:\n", + " os.sys.path.append('..')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ { - "cell_type": "code", - "collapsed": false, - "input": [ - "from simpegseis import *\n", - "%pylab inline\n", - "from SimPEG.Utils import mkvc" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Populating the interactive namespace from numpy and matplotlib\n" - ] - } - ], - "prompt_number": 2 + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n" + ] }, { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step1: set time\n", - "dt = 0.8e-4\n", - "ntime = 1700\n", - "time = np.arange(ntime)*dt\n", - "# Step4: set mesh\n", - "cs = 0.5\n", - "cs = 0.5\n", - "hx = np.ones(500.)*cs\n", - "hy = np.ones(200.)*cs\n", - "mesh = Mesh.TensorMesh([hx, hy], 'CC')\n", - "# Step2: set Tx and Rx\n", - "tlag = 0.008\n", - "options={'tlag':tlag, 'fmain':100.} # You need to set waveform to set Tx\n", - "nrx = 99\n", - "xtemp_rx = np.arange(nrx)*2.5+2.5+mesh.vectorCCx.min()\n", - "xy_rx = np.c_[xtemp_rx, np.ones(nrx)*mesh.vectorCCy.max()]\n", - "rx = AcousticRx(xy_rx)\n", - "\n", - "tx = AcousticTx(np.r_[mesh.vectorCCx.min(), mesh.vectorCCy.max()], time, [rx], **options)\n", - "# Step3: set survey (pass txlist)\n", - "survey = SurveyAcoustic([tx])\n", - "wave = tx.RickerWavelet()\n", - "# Step5: set problem (pass mesh) and pair with survey\n", - "prob = AcousticProblemPML(mesh)\n", - "prob.pair(survey)\n", - "# Step6: set boundary\n", - "prob.setPMLBC(20, dt, bcflag='left', const=1.)\n", - "prob.storefield = True\n", - "# Step7: set velocity model and check stability\n", - "v = np.ones(mesh.nC)*800.\n", - "v[mesh.gridCC[:,1]<30.] = 2300.\n", - "v[mesh.gridCC[:,1]<0.] = 1500.\n", - "prob.stabilitycheck(v, time, 100.)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "You are good to go:)\n", - ">> Stability information\n", - " dt: 8.00e-05 s\n", - " Optimal dt: 1.09e-04 s\n", - " Cell per wavelength (G): 1.60e+01\n", - " Optimal G: 1.60e+01\n" - ] - } - ], - "prompt_number": 3 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mesh.plotImage(v)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 4, - "text": [ - "(,)" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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- "text": [ - "" - ] - } - ], - "prompt_number": 5 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step8: run forward\n", - "U = prob.fields(v)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - ">> Start Computing Acoustic Wave\n", - ">> dt: 8.00e-05 s\n", - ">> Optimal dt: 1.09e-04 s\n", - ">> Main frequency, fmain: 1.00e+02 Hz\n", - ">> Cell per wavelength (G): 1.60e+01\n", - " Tx at (-124.75, -124.75): 1/ 1\n", - ">>Elapsed time: 5.74e+01 s" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "\n" - ] - } - ], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step9: project data\n", - "data = survey.projectFields(U)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 7 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print 50./1500." - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.0333333333333\n" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "icount = 1699\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n", - "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", - "ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", - "ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) " - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 10, - "text": [ - "" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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5t7z4B2mgS2EipnWqtyIYigmc5vruk6UtzyKamvdzloFqS0GEKtGo7og41nfU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\nvKzbLuaUgXm9fWH99H3W5yzz7A3epcP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- "text": [ - "" - ] - } - ], - "prompt_number": 10 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print data[0].shape" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "(99L, 1700L)\n" - ] - } - ], - "prompt_number": 11 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from JSAnimation import IPython_display\n", - "from matplotlib import animation\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 8))\n", - "ax.set_xlabel('Easting (m)', fontsize = 16)\n", - "ax.set_ylabel('Depth (m)', fontsize = 16)\n", - "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", - "ax.set_xlim(extent[:2])\n", - "ax.set_ylim(extent[2:])\n", - "\n", - "nskip = 79\n", - "def animate(i_id):\n", - " icount = i_id*nskip\n", - " frame = ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", - " ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) \n", - " return frame\n", - "animation.FuncAnimation(fig, animate, frames=20, interval=40, blit=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "html": [ - "\n", - "\n", - "\n", - "
\n", - " \n", - "
\n", - " \n", - "
\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " Once \n", - " Loop \n", - " Reflect \n", - "
\n", - "
\n", - "\n", - "\n", - "\n" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 12, - "text": [ - "" - ] - } - ], - "prompt_number": 12 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def traveltime(x, h, v):\n", - " d = np.sqrt((0.5*x)**2+h**2)\n", - " t = 2*(d/v)\n", - " return t" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 13 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print traveltime(2.5, 20., 800.)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.0500975610684\n" - ] - } - ], - "prompt_number": 14 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def intercTime(x, h, v1, v2):\n", - " out = 2*h*np.sqrt(v2**2-v1**2)/(v1*v2)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 15 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# print intercTime(0., 20., 800.)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 17 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print (2*20)/800." - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.05\n" - ] - } - ], - "prompt_number": 18 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "extent = [0,2, 0, 2]\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n", - "ax.imshow(data[0].T, cmap = 'RdBu', extent=extent) " - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 19, - "text": [ - "" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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wbBVDtHfI5B5M7jHO9yDfo9ze5t60xvtYSjNvHY7o2jwOccnrumLsqvU0xtLm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\nR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vYPXqEEOGwA9+EObkk+G005LfH6Lt88+Ha68NUVIC27Ylt/64cWGKipLf/p/+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\nluLpluLpjmLpluIZPEqus4R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- "text": [ - "" - ] - } - ], - "prompt_number": 20 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: pylab import has clobbered these variables: ['linalg']\n", + "`%matplotlib` prevents importing * from pylab and numpy\n" + ] } ], - "metadata": {} + "source": [ + "from simpegseis import *\n", + "%pylab inline\n", + "from SimPEG.Utils import mkvc" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "You are good to go:)\n", + ">> Stability information\n", + " dt: 8.00e-05 s\n", + " Optimal dt: 1.09e-04 s\n", + " Cell per wavelength (G): 1.60e+01\n", + " Optimal G: 1.60e+01\n" + ] + } + ], + "source": [ + "# Step1: set time\n", + "dt = 0.8e-4\n", + "ntime = 1700\n", + "time = np.arange(ntime)*dt\n", + "# Step4: set mesh\n", + "cs = 0.5\n", + "cs = 0.5\n", + "hx = np.ones(500.)*cs\n", + "hy = np.ones(200.)*cs\n", + "mesh = Mesh.TensorMesh([hx, hy], 'CC')\n", + "# Step2: set Tx and Rx\n", + "tlag = 0.008\n", + "options={'tlag':tlag, 'fmain':100.} # You need to set waveform to set Tx\n", + "nrx = 99\n", + "xtemp_rx = np.arange(nrx)*2.5+2.5+mesh.vectorCCx.min()\n", + "xy_rx = np.c_[xtemp_rx, np.ones(nrx)*mesh.vectorCCy.max()]\n", + "rx = AcousticRx(xy_rx)\n", + "\n", + "tx = AcousticSrc(np.r_[mesh.vectorCCx.min(), mesh.vectorCCy.max()], time, [rx], **options)\n", + "# Step3: set survey (pass txlist)\n", + "survey = SurveyAcoustic([tx])\n", + "wave = tx.RickerWavelet()\n", + "# Step5: set problem (pass mesh) and pair with survey\n", + "prob = AcousticProblemPML(mesh)\n", + "prob.pair(survey)\n", + "# Step6: set boundary\n", + "prob.setPMLBC(20, dt, bcflag='left', const=1.)\n", + "prob.storefield = True\n", + "# Step7: set velocity model and check stability\n", + "v = np.ones(mesh.nC)*800.\n", + "v[mesh.gridCC[:,1]<30.] = 2300.\n", + "v[mesh.gridCC[:,1]<0.] = 1500.\n", + "prob.stabilitycheck(v, time, 100.)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(time, wave)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + ">> Start Computing Acoustic Wave\n", + ">> dt: 8.00e-05 s\n", + ">> Optimal dt: 1.09e-04 s\n", + ">> Main frequency, fmain: 1.00e+02 Hz\n", + ">> Cell per wavelength (G): 1.60e+01\n", + " Src at (-124.75, -124.75): 1/ 1\n", + ">>Elapsed time: 4.35e+01 s\n" + ] + } + ], + "source": [ + "# Step8: run forward\n", + "U = prob.fields(v)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Step9: project data\n", + "data = survey.projectFields(U)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0333333333333\n" + ] + } + ], + "source": [ + "print 50./1500." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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iGaW9IemuAVN4VB6KrY1iFVbW+7YdstVf6TJRTISTcdg9Q2ozr94048ha78DM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\nHkWW7axzvExcTWEuN5hHIfE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\n", + " Once \n", + " Loop \n", + " Reflect \n", + "
\n", + "
\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from JSAnimation import IPython_display\n", + "from matplotlib import animation\n", + "fig, ax = plt.subplots(1,1, figsize = (8, 8))\n", + "ax.set_xlabel('Easting (m)', fontsize = 16)\n", + "ax.set_ylabel('Depth (m)', fontsize = 16)\n", + "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", + "ax.set_xlim(extent[:2])\n", + "ax.set_ylim(extent[2:])\n", + "\n", + "nskip = 79\n", + "def animate(i_id):\n", + " icount = i_id*nskip\n", + " frame = ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", + " ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) \n", + " return frame\n", + "animation.FuncAnimation(fig, animate, frames=20, interval=40, blit=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def traveltime(x, h, v):\n", + " d = np.sqrt((0.5*x)**2+h**2)\n", + " t = 2*(d/v)\n", + " return t" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0500975610684\n" + ] + } + ], + "source": [ + "print traveltime(2.5, 20., 800.)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def intercTime(x, h, v1, v2):\n", + " out = 2*h*np.sqrt(v2**2-v1**2)/(v1*v2)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# print intercTime(0., 20., 800.)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.05\n" + ] + } + ], + "source": [ + "print (2*20)/800." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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zfLFzEazD1ll6HRFak5Ie3qRSl6HXYGlT24czStNZVl0SoS4qdxct88bgTMls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\n0tUX+it8JD9Ra9BamEoseq58YFUbqhBFCD5Z1KyN52EjPHQFE6s44zn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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1, figsize=(12, 4))\n", + "ax.plot(time+tlag, data[0][0,:])\n", + "ax.grid(True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } - ] -} \ No newline at end of file + ], + "metadata": { + "hide_input": false, + "kernelspec": { + "display_name": "pymain", + "language": "python", + "name": "pymain" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.9" + }, + "toc": { + "toc_cell": false, + "toc_number_sections": true, + "toc_threshold": 6, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/SeismicRefraction_model3.ipynb b/notebooks/SeismicRefraction_model3.ipynb index 6bf6da0..95812a5 100644 --- a/notebooks/SeismicRefraction_model3.ipynb +++ b/notebooks/SeismicRefraction_model3.ipynb @@ -1,10514 +1,771 @@ { - "metadata": { - "name": "", - "signature": "sha256:e2e4510c9cc6902965fd53a7cedc703aaebe9766ea06a39cb84a32db265e35f2" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ + "cells": [ { - "cells": [ + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# add simpegseisc directory to path\n", + "import os\n", + "if '..' not in os.sys.path:\n", + " os.sys.path.append('..')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ { - "cell_type": "code", - "collapsed": false, - "input": [ - "from simpegseis import *\n", - "%pylab inline\n", - "from SimPEG.Utils import mkvc" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "Populating the interactive namespace from numpy and matplotlib\n" - ] - } - ], - "prompt_number": 1 + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n" + ] }, { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step1: set time\n", - "dt = 0.8e-4\n", - "ntime = 1700\n", - "time = np.arange(ntime)*dt\n", - "# Step4: set mesh\n", - "cs = 0.5\n", - "cs = 0.5\n", - "hx = np.ones(500.)*cs\n", - "hy = np.ones(200.)*cs\n", - "mesh = Mesh.TensorMesh([hx, hy], 'CC')\n", - "# Step2: set Tx and Rx\n", - "tlag = 0.008\n", - "options={'tlag':tlag, 'fmain':100.} # You need to set waveform to set Tx\n", - "nrx = 99\n", - "xtemp_rx = np.arange(nrx)*2.5+2.5+mesh.vectorCCx.min()\n", - "xy_rx = np.c_[xtemp_rx, np.ones(nrx)*mesh.vectorCCy.max()]\n", - "rx = AcousticRx(xy_rx)\n", - "\n", - "tx = AcousticTx(np.r_[mesh.vectorCCx.min(), mesh.vectorCCy.max()], time, [rx], **options)\n", - "# Step3: set survey (pass txlist)\n", - "survey = SurveyAcoustic([tx])\n", - "wave = tx.RickerWavelet()\n", - "# Step5: set problem (pass mesh) and pair with survey\n", - "prob = AcousticProblemPML(mesh)\n", - "prob.pair(survey)\n", - "# Step6: set boundary\n", - "prob.setPMLBC(20, dt, bcflag='left', const=1.)\n", - "prob.storefield = True\n", - "# Step7: set velocity model and check stability\n", - "v = np.ones(mesh.nC)*1500.\n", - "v[mesh.gridCC[:,1]<30.] = 800.\n", - "v[mesh.gridCC[:,1]<0.] = 2300.\n", - "prob.stabilitycheck(v, time, 100.)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "You are good to go:)\n", - ">> Stability information\n", - " dt: 8.00e-05 s\n", - " Optimal dt: 1.09e-04 s\n", - " Cell per wavelength (G): 1.60e+01\n", - " Optimal G: 1.60e+01\n" - ] - } - ], - "prompt_number": 2 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "mesh.plotImage(v)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 3, - "text": [ - "(,)" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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- "text": [ - "" - ] - } - ], - "prompt_number": 4 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step8: run forward\n", - "U = prob.fields(v)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - ">> Start Computing Acoustic Wave\n", - ">> dt: 8.00e-05 s\n", - ">> Optimal dt: 1.09e-04 s\n", - ">> Main frequency, fmain: 1.00e+02 Hz\n", - ">> Cell per wavelength (G): 1.60e+01\n", - " Tx at (-124.75, -124.75): 1/ 1\n", - ">>Elapsed time: 5.95e+01 s" - ] - }, - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "\n" - ] - } - ], - "prompt_number": 5 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# Step9: project data\n", - "data = survey.projectFields(U)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 6 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print 50./1500." - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.0333333333333\n" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "icount = 1699\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n", - "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", - "ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", - "ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) " - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 8, - "text": [ - "" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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qv37sj/3zW530HwOyF2gzSCVMaQ0lvq7r0Ge7ZcvXF//m9i1GXpNyOer6AG+D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- "text": [ - "" - ] - } - ], - "prompt_number": 8 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print data[0].shape" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "(99L, 1700L)\n" - ] - } - ], - "prompt_number": 9 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "from JSAnimation import IPython_display\n", - "from matplotlib import animation\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 8))\n", - "ax.set_xlabel('Easting (m)', fontsize = 16)\n", - "ax.set_ylabel('Depth (m)', fontsize = 16)\n", - "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", - "ax.set_xlim(extent[:2])\n", - "ax.set_ylim(extent[2:])\n", - "\n", - "nskip = 79\n", - "def animate(i_id):\n", - " icount = i_id*nskip\n", - " frame = ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", - " ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) \n", - " return frame\n", - "animation.FuncAnimation(fig, animate, frames=20, interval=40, blit=True)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "html": [ - "\n", - "\n", - "\n", - "
\n", - " \n", - "
\n", - " \n", - "
\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " Once \n", - " Loop \n", - " Reflect \n", - "
\n", - "
\n", - "\n", - "\n", - "\n" - ], - "metadata": {}, - "output_type": "pyout", - "prompt_number": 10, - "text": [ - "" - ] - } - ], - "prompt_number": 10 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def traveltime(x, h, v):\n", - " d = np.sqrt((0.5*x)**2+h**2)\n", - " t = 2*(d/v)\n", - " return t" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 11 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print traveltime(2.5, 20., 800.)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.0500975610684\n" - ] - } - ], - "prompt_number": 12 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def intercTime(x, h, v1, v2):\n", - " out = 2*h*np.sqrt(v2**2-v1**2)/(v1*v2)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 15 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# print intercTime(0., 20., 800.)" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 16 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "print (2*20)/800." - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "0.05\n" - ] - } - ], - "prompt_number": 17 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "extent = [0,2, 0, 2]\n", - "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n", - "ax.imshow(data[0].T, cmap = 'RdBu', extent=extent) " - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 18, - "text": [ - "" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": 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gVQKYRQJCF43zLrAMRl87DJfq+WKkihFngZlWOK94tzZnL7tIFyPL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\nek+bkN+nF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3D9G6NSxcuDDleAwYADk5Yf74R7jttuT3T3R5zRq4/fYQN98MnhcmHE7+9511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\n/p5MXo6uC0p7Mnk5FAoFqj2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- "text": [ - "" - ] - } - ], - "prompt_number": 19 + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: pylab import has clobbered these variables: ['linalg']\n", + "`%matplotlib` prevents importing * from pylab and numpy\n" + ] } ], - "metadata": {} + "source": [ + "from simpegseis import *\n", + "%pylab inline\n", + "from SimPEG.Utils import mkvc" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "You are good to go:)\n", + ">> Stability information\n", + " dt: 8.00e-05 s\n", + " Optimal dt: 1.09e-04 s\n", + " Cell per wavelength (G): 1.60e+01\n", + " Optimal G: 1.60e+01\n" + ] + } + ], + "source": [ + "# Step1: set time\n", + "dt = 0.8e-4\n", + "ntime = 1700\n", + "time = np.arange(ntime)*dt\n", + "# Step4: set mesh\n", + "cs = 0.5\n", + "cs = 0.5\n", + "hx = np.ones(500.)*cs\n", + "hy = np.ones(200.)*cs\n", + "mesh = Mesh.TensorMesh([hx, hy], 'CC')\n", + "# Step2: set Tx and Rx\n", + "tlag = 0.008\n", + "options={'tlag':tlag, 'fmain':100.} # You need to set waveform to set Tx\n", + "nrx = 99\n", + "xtemp_rx = np.arange(nrx)*2.5+2.5+mesh.vectorCCx.min()\n", + "xy_rx = np.c_[xtemp_rx, np.ones(nrx)*mesh.vectorCCy.max()]\n", + "rx = AcousticRx(xy_rx)\n", + "\n", + "tx = AcousticSrc(np.r_[mesh.vectorCCx.min(), mesh.vectorCCy.max()], time, [rx], **options)\n", + "# Step3: set survey (pass txlist)\n", + "survey = SurveyAcoustic([tx])\n", + "wave = tx.RickerWavelet()\n", + "# Step5: set problem (pass mesh) and pair with survey\n", + "prob = AcousticProblemPML(mesh)\n", + "prob.pair(survey)\n", + "# Step6: set boundary\n", + "prob.setPMLBC(20, dt, bcflag='left', const=1.)\n", + "prob.storefield = True\n", + "# Step7: set velocity model and check stability\n", + "v = np.ones(mesh.nC)*1500.\n", + "v[mesh.gridCC[:,1]<30.] = 800.\n", + "v[mesh.gridCC[:,1]<0.] = 2300.\n", + "prob.stabilitycheck(v, time, 100.)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(time, wave)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + ">> Start Computing Acoustic Wave\n", + ">> dt: 8.00e-05 s\n", + ">> Optimal dt: 1.09e-04 s\n", + ">> Main frequency, fmain: 1.00e+02 Hz\n", + ">> Cell per wavelength (G): 1.60e+01\n", + " Src at (-124.75, -124.75): 1/ 1\n", + ">>Elapsed time: 4.37e+01 s\n" + ] + } + ], + "source": [ + "# Step8: run forward\n", + "U = prob.fields(v)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Step9: project data\n", + "data = survey.projectFields(U)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0333333333333\n" + ] + } + ], + "source": [ + "print 50./1500." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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UhfSZsvIjNXglyqWUcmUuiwKaAdAGbFF+7A02kykm44nzB3OqzMV8gcvLS1zZ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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "icount = 1699\n", + "fig, ax = plt.subplots(1,1, figsize = (8, 5))\n", + "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", + "ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", + "ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(99, 1700)\n" + ] + } + ], + "source": [ + "print data[0].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "global name 'line' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 21\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mframe\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 22\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 23\u001b[1;33m \u001b[0manim\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0manimation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mFuncAnimation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0manimate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minit_func\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minit\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mframes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minterval\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m40\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mblit\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m/home/isisilon/.virtualenvs/main/local/lib/python2.7/site-packages/matplotlib/animation.pyc\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, func, frames, init_func, fargs, save_count, **kwargs)\u001b[0m\n\u001b[0;32m 1163\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_save_seq\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1164\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1165\u001b[1;33m \u001b[0mTimedAnimation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1166\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1167\u001b[0m \u001b[1;31m# Need to reset the saved seq, since right now it will contain data\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m/home/isisilon/.virtualenvs/main/local/lib/python2.7/site-packages/matplotlib/animation.pyc\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, interval, repeat_delay, repeat, event_source, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1007\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1008\u001b[0m Animation.__init__(self, fig, event_source=event_source,\n\u001b[1;32m-> 1009\u001b[1;33m *args, **kwargs)\n\u001b[0m\u001b[0;32m 1010\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1011\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_step\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m/home/isisilon/.virtualenvs/main/local/lib/python2.7/site-packages/matplotlib/animation.pyc\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, event_source, blit)\u001b[0m\n\u001b[0;32m 634\u001b[0m self._stop)\n\u001b[0;32m 635\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_blit\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 636\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_setup_blit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 637\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 638\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_start\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m/home/isisilon/.virtualenvs/main/local/lib/python2.7/site-packages/matplotlib/animation.pyc\u001b[0m in \u001b[0;36m_setup_blit\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 905\u001b[0m self._resize_id = self._fig.canvas.mpl_connect('resize_event',\n\u001b[0;32m 906\u001b[0m self._handle_resize)\n\u001b[1;32m--> 907\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_post_draw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_blit\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 908\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 909\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_handle_resize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m 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and\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m/home/isisilon/.virtualenvs/main/local/lib/python2.7/site-packages/matplotlib/animation.pyc\u001b[0m in \u001b[0;36m_init_draw\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1194\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1195\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1196\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_drawn_artists\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_init_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1197\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_blit\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1198\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m 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\u001b[1;33m(\u001b[0m\u001b[0mline\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNameError\u001b[0m: global name 'line' is not defined" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from JSAnimation import IPython_display\n", + "from matplotlib import animation\n", + "fig, ax = plt.subplots(1,1, figsize = (8, 8))\n", + "ax.set_xlabel('Easting (m)', fontsize = 16)\n", + "ax.set_ylabel('Depth (m)', fontsize = 16)\n", + "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", + "ax.set_xlim(extent[:2])\n", + "ax.set_ylim(extent[2:])\n", + "\n", + "\n", + "nskip = 79\n", + "def animate(i_id):\n", + " icount = i_id*nskip\n", + " frame = ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", + " ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) \n", + " return frame\n", + "\n", + "anim = animation.FuncAnimation(fig, animate, frames=20, interval=40, blit=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "
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\n", + " Once \n", + " Loop \n", + " Reflect \n", + "
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\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from JSAnimation import IPython_display\n", + "from matplotlib import animation\n", + "from IPython.display import HTML\n", + "fig, ax = plt.subplots(1,1, figsize = (8, 8))\n", + "ax.set_xlabel('Easting (m)', fontsize = 16)\n", + "ax.set_ylabel('Depth (m)', fontsize = 16)\n", + "extent = [mesh.vectorCCx.min(), mesh.vectorCCx.max(), mesh.vectorCCy.min()-mesh.vectorCCy.max(), mesh.vectorCCy.max()-mesh.vectorCCy.max()]\n", + "ax.set_xlim(extent[:2])\n", + "ax.set_ylim(extent[2:])\n", + "\n", + "\n", + "nskip = 79\n", + "def animate(i_id):\n", + " icount = i_id*nskip\n", + " frame = ax.imshow(np.flipud(U[0][:,icount].reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'binary', extent=extent) \n", + " ax.imshow(np.flipud(v.reshape((mesh.nCx, mesh.nCy), order = 'F').T), cmap = 'jet', extent=extent, alpha = 0.2) \n", + " return frame\n", + "\n", + "animation.FuncAnimation(fig, animate, frames=20, interval=40, blit=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def traveltime(x, h, v):\n", + " d = np.sqrt((0.5*x)**2+h**2)\n", + " t = 2*(d/v)\n", + " return t" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.0500975610684\n" + ] + } + ], + "source": [ + "print traveltime(2.5, 20., 800.)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def intercTime(x, h, v1, v2):\n", + " out = 2*h*np.sqrt(v2**2-v1**2)/(v1*v2)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# print intercTime(0., 20., 800.)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.05\n" + ] + } + ], + "source": [ + "print (2*20)/800." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ehYkTFCWYcdp0LBrQmWc6q5lU4GLEhRWzYBw6OJ44ViHtTXm6DkRLFukkl80M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\nOhnRQv57ZRbom7+KDrXHBV2W0KSSwJFNyUzpWSv9l9PhQ3KHH1rjnMw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