{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 09 - Viscoelastic wave equation implementation on a staggered grid\n", "\n", "This is a first attempt at implementing the viscoelastic wave equation as described in [1]. See also the FDELMODC implementation by Jan Thorbecke [2]. \n", "\n", "In the following example, a three dimensional toy problem will be introduced consisting of a single Ricker source located at (100, 50, 35) in a 200 m $\\times$ 100 m $\\times$ 100 *m* domain." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Required imports:\n", "import numpy as np\n", "import sympy as sp\n", "\n", "from devito import *\n", "from examples.seismic.source import RickerSource, TimeAxis\n", "from examples.seismic import ModelViscoelastic, plot_image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The model domain is now constructed. It consists of an upper layer of water, 50 m in depth, and a lower rock layer separated by a 4 m thick sediment layer." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Domain size:\n", "extent = (200., 100., 100.) # 200 x 100 x 100 m domain\n", "h = 1.0 # Desired grid spacing\n", "shape = (int(extent[0]/h+1), int(extent[1]/h+1), int(extent[2]/h+1))\n", "\n", "# Model physical parameters:\n", "vp = np.zeros(shape)\n", "qp = np.zeros(shape)\n", "vs = np.zeros(shape)\n", "qs = np.zeros(shape)\n", "rho = np.zeros(shape)\n", "\n", "# Set up three horizontally separated layers:\n", "vp[:,:,:int(0.5*shape[2])+1] = 1.52\n", "qp[:,:,:int(0.5*shape[2])+1] = 10000.\n", "vs[:,:,:int(0.5*shape[2])+1] = 0.\n", "qs[:,:,:int(0.5*shape[2])+1] = 0.\n", "rho[:,:,:int(0.5*shape[2])+1] = 1.05\n", "\n", "vp[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 1.6\n", "qp[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 40.\n", "vs[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 0.4\n", "qs[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 30.\n", "rho[:,:,int(0.5*shape[2])+1:int(0.5*shape[2])+1+int(4/h)] = 1.3\n", "\n", "vp[:,:,int(0.5*shape[2])+1+int(4/h):] = 2.2\n", "qp[:,:,int(0.5*shape[2])+1+int(4/h):] = 100.\n", "vs[:,:,int(0.5*shape[2])+1+int(4/h):] = 1.2\n", "qs[:,:,int(0.5*shape[2])+1+int(4/h):] = 70.\n", "rho[:,:,int(0.5*shape[2])+1+int(4/h):] = 2." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now create a Devito vsicoelastic model generating an appropriate computational grid along with absorbing boundary layers:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [ "nbval-ignore-output" ] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Operator `initdamp` ran in 0.01 s\n" ] } ], "source": [ "# Create model\n", "origin = (0, 0, 0)\n", "spacing = (h, h, h)\n", "so = 4 # FD space order (Note that the time order is by default 1).\n", "nbl = 20 # Number of absorbing boundary layers cells\n", "model = ModelViscoelastic(space_order=so, vp=vp, qp=qp, vs=vs, qs=qs,\n", " b=1/rho, origin=origin, shape=shape, spacing=spacing,\n", " nbl=nbl)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# As pointed out in Thorbecke's implementation and documentation, the viscoelastic wave euqation is\n", "# not always stable with the standard elastic CFL condition. We enforce a smaller critical dt here\n", "# to ensure the stability.\n", "model.dt_scale = .9" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The source frequency is now set along with the required model parameters:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Source freq. in MHz (note that the source is defined below):\n", "f0 = 0.12\n", "\n", "# Thorbecke's parameter notation\n", "l = model.lam\n", "mu = model.mu\n", "ro = model.b\n", "\n", "k = 1.0/(l + 2*mu)\n", "pi = l + 2*mu\n", "\n", "t_s = (sp.sqrt(1.+1./model.qp**2)-1./model.qp)/f0\n", "t_ep = 1./(f0**2*t_s)\n", "t_es = (1.+f0*model.qs*t_s)/(f0*model.qs-f0**2*t_s)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Time step in ms and time range:\n", "t0, tn = 0., 30.\n", "dt = model.critical_dt\n", "time_range = TimeAxis(start=t0, stop=tn, step=dt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Generate Devito time functions for the velocity, stress and memory variables appearing in the viscoelastic model equations. By default, the initial data of each field will be set to zero." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# PDE fn's:\n", "x, y, z = model.grid.dimensions\n", "damp = model.damp\n", "\n", "# Staggered grid setup:\n", "\n", "# Velocity:\n", "v = VectorTimeFunction(name=\"v\", grid=model.grid, time_order=1, space_order=so)\n", "\n", "# Stress:\n", "tau = TensorTimeFunction(name='t', grid=model.grid, space_order=so, time_order=1)\n", "\n", "# Memory variable:\n", "r = TensorTimeFunction(name='r', grid=model.grid, space_order=so, time_order=1)\n", "\n", "s = model.grid.stepping_dim.spacing # Symbolic representation of the model grid spacing" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now the source and PDE's are constructed:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Source\n", "src = RickerSource(name='src', grid=model.grid, f0=f0, time_range=time_range)\n", "src.coordinates.data[:] = np.array([100., 50., 35.])\n", "\n", "# The source injection term\n", "src_xx = src.inject(field=tau[0, 0].forward, expr=src*s)\n", "src_yy = src.inject(field=tau[1, 1].forward, expr=src*s)\n", "src_zz = src.inject(field=tau[2, 2].forward, expr=src*s)\n", "\n", "# Particle velocity\n", "pde_v = v.dt - ro * div(tau)\n", "u_v = Eq(v.forward, model.damp * solve(pde_v, v.forward))\n", "# Strain\n", "e = grad(v.forward) + grad(v.forward).transpose(inner=False)\n", "\n", "# Stress equations\n", "pde_tau = tau.dt - r.forward - l * t_ep / t_s * diag(div(v.forward)) - mu * t_es / t_s * e\n", "u_t = Eq(tau.forward, model.damp * solve(pde_tau, tau.forward))\n", "\n", "# Memory variable equations:\n", "pde_r = r.dt + 1 / t_s * (r + l * (t_ep/t_s-1) * diag(div(v.forward)) + mu * (t_es/t_s-1) * e)\n", "u_r = Eq(r.forward, damp * solve(pde_r, r.forward))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now create and then run the operator:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Create the operator:\n", "op = Operator([u_v, u_r, u_t] + src_xx + src_yy + src_zz,\n", " subs=model.spacing_map)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Operator `Kernel` ran in 9.82 s\n" ] }, { "data": { "text/plain": [ "PerformanceSummary([(PerfKey(name='section0', rank=None),\n", " PerfEntry(time=0.003796, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[])),\n", " (PerfKey(name='section1', rank=None),\n", " PerfEntry(time=9.803400999999997, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[])),\n", " (PerfKey(name='section2', rank=None),\n", " PerfEntry(time=0.007545000000000001, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#NBVAL_IGNORE_OUTPUT\n", "\n", "# Execute the operator:\n", "op(dt=dt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before plotting some results, let us first look at the shape of the data stored in one of our time functions:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2, 241, 141, 141)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "v[0].data.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since our functions are first order in time, the time dimension is of length 2. The spatial extent of the data includes the absorbing boundary layers in each dimension (i.e. each spatial dimension is padded by 20 grid points to the left and to the right).\n", "\n", "The total number of instances in time considered is obtained from:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "150" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "time_range.num" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Hence 223 time steps were executed. Thus the final time step will be stored in index given by:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.mod(time_range.num,2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let us plot some 2D slices of the fields `vx` and `szz` at the final time step:" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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V1oaIhCfz91TIaapKCSsJyzZcwGHmsNWSjLbZya7RKEQYB8JMEsrHJvX1GU7p6oKenhHMpBPDmFE3Gfq/kWh0K7t3wz//5/C+HWfhuedg7x/DkSNkMhlO45ta9vhcTTRqyOemmwwxNDaa4TmJF/AS2s5nQ4yO+ln+9qCcnSJTFR4vTMQbHoaeHiJDQ0RSKeLd3TA0xNmJifw43BBwcmKCSG8vdb29xJ9+Gtra+MRnP8snvvoAf99RxWOPtXDwYAvZbBe+6ZrBqMV3OHiwjXS6lu3bTXtaWuRyTEBmhByxWKRAMdkxTis1CNMR0wpGKVKy/UrGfAtzPhsikzGBkl1d8KMfwbPPwsSE+JIGMRQTB7YA17FnTz0f/zh86EOw/m++Bk8dgIMHyaRSnMd0flFFMSAmjuitW6GtzV9ubuZ8uIZUyjjah/tguKOwMkGxyGq7GkA0GiEarSORqCORuJl4GzQ/AFW5s8Ye9ZzsNd3d1Bw9CkNDjKXTjHlXdRo4n05T9fLLxI8dg+ef5327d3PLn/0G3/sefOMbW3nppQ2YKJRe7Oj1np4bSaVMHMGOHeYa2ttNOktVNEyESfCixYP1qGTdSiOnZRku4DA9gn4lu1bSqlU2KRnzTTL9+/qMb6mzEy/eR/KlxcG9AbiZ7duj/Oqvwif2jsPzz8M3vgGdnZweHSXjtSGEUUcxILxli+m1zc2wc6dRR83N/DQVYeioiYs6ftwveSIBjbMtexKP+2rQJOjW0Ni4jRs+1moIqqXFhHGnUsQ6O4n29jKG0UDilyKVIn7qFAwMsD6R4Nf27SEcjjA8XM+RI9UYtTTg3ZNBIEo2O05n53V507ix0bv/iVDe50Q0lK+kmcv5icDyeaWQkwsXWOEoVavIJiUx38Sf9OyzhpRGR/uALnxlkASSNDXdyu/8DnzkI3DzkT+HvX8BBw8ykMmQxXTVGIaQ4tEofOADhoR27oRduzgbbTBxUIcg/YzhCnERZTKFpUSgdEndIOwSu0IOQlJr10Jzc4R1626gpeUGdnzpl6gaOwmHDhE+dIh4Tw/xl18mk81yFuNNGh4dJfryyySPHIH77uMT//gf0/6NT/Lss1G++tV7GBz8Eb7PzSjK3t5JhoY2MTBgzt/aKjzomXXhSdasCV02M4xNTisBblRuhcKuJ1RR4RPTqlV+djyQ99/09cHhw8Z8O3AAtD6GCTg8i1FJCWAnW7bU8/nPwyP7PF/SV75C7vDhvB8pCtQBdevWmV65Y4cJXmpt5cSqjfzoqO+/ktpMw8OFqsi+BvtapkKwQ0tHl6z/aNTEbcZifj5fMtnArXf/Euvb200JhNZW4p2dxLu6OJ3JcN67ppOZDIlnniE0MMDNn6/k5s89QCJRxWOP3cqxY0mgAz/1ppfRUdi/fxOJhN+OVat8h7g4wicmSpPvSiAo52NaYQh2YtuEkzImEtGdzZoOK+bbkSNCSj/DOLkvYUbeNrJ9ez179phQAP7wSXjxRcYOHyaDGfEqcGrv3m1IaedOzu+4l54e47vq7jZENDhYWDo32H6bjILLNqaa7cReJ+ZhNGrOPTRkTK2hIWhv30zLfZupWrPGlBNobKTuuecIZ7NkMCbeOBA/fJjYU0/B0BAPP/rbpFLw/PP1dHVtxCQDX/Du2Wq0hiNHNuVVamOjeQ518cIgTCkXXFlZGEKw3E06Nyq3whB0dktlAPslpHQ6E6K31+SRvfiiUUojIz8DjuKHPW4Bbua++xr4gz+A22I/hU99Gb75TU5iHMZRjDu8Yd06E969cyfs28fp2EYTJf4H5BNp7ZreYs7YpVXEQW+bY3ZAKEw/y4ld+tZOrxMSTKdNKEQ0aoj4lVdM/tvOnfey87fupSbzDuzYQc2hQ9R0dHAyneY8xmCre+EFGl54gVBHB//P7/0ee/du5vOf38rLLycw5lwvRmkO09MT4sSJ68hkzH2//nrYsiVEXdxPXwlCrmkl+JscMa0wSEcO1lOy00ykZMmbbxoV09EBIyODwDv45lstcDv33FPNo4/CbWM/gKefh2ee4STG6xTDGHnRdetg7164+2645x5+OLyR3lfg9deN32p01Cgz6WhSAdMmI9vcLDbzSvD6gmkewSmXhJSECG2SCvqxpG0jI3DTTRvZtnevGTFMJmn49rfJptMMe9c8DCSeeQaSSW578EEeffQustkmXnml2rt3UlblHUZGVtPR0UBrqzn+mjUm8devTBDKO8DFxLt4cfmTklNMKxR2hy6oOpnLkSPC6Kjv6+nqgsHBEYz59i5GKdUA1/He91azbx/80q6T8Pkn4cABBrJZspgfVgMQldG2vXth1y5+2B3hpZeMQkqlTKeXOEhRQ7YTXqoZiLqz45Pg8umfisEesbPjnaRO0sWL/uQGYtblcvlgcaJRs5xOmzbnPrCZ236x0QR7ZjJEOzuJ9/ZyEm/0Lpsl+fTTMDzMLz3WwsBAA1DDK68kvfs45t3LKIODlRw5Upsfqauv96LsyRGNRgDyAZpy7cuZlAQL1flLTUwyn2M6YlogBP0xxUbhQkwyGY4wNGBI6dAhY8IdPnwJ+CFGC5zFjL5tZfv2JI8/DttyP4TP/h7nn3nGxPrgObiB0Ec+Ag8+CLt28erIDfzoKaPAenp8ApD22HWVgsQUNN1KqaRSmEo9iTIKEpPUcZLvjx83puZbb5nlzrYqbr31g9z5pSQcOkTs+eepeu45TmNM2IH+fur+5E+oymT47S9/md27t/GpT91GV1cDZjRzABlAePHF3Zw5Y2zRWMxEKySTkby/KZjwGwzAXG5YYMWUo8jEJFrrn8z1gI6YFhgyCicdXUbk7EoB4u/p6TFqyZhvI5j6STFgC5s2JfmVX4Ft/Bi+/W3Yv58M5hdQAySiURNB+MADsGcP7+Q28OqrRoFJkKQoAJuA4nE/UjuYEmMXgSvmW5oKMlElXO4IFwUiJUjEXJTKADZhCUmlUmb/bBaaHryZjXsMc4TSaRJHjzLuVUE4C1Tt3w9tbWzbC/v2bSOTSdLfn8VoqwkkEbi7+zqSSTNYWVEhoQyhPDnZExzINS9nX9NCEdMUE5M4YioHBH1LtiMZzI87kzFqoK/PxCplswP41SZjQJza2hb27oV/8k+ALz0OL7zAwOgoWfzAAe67zzi59+7l1d46XnvN+KlkKiYJHgwGPIpiksknixGS5PIFr2s62J3XniBTzCTbKS65wZmMT1jgk9PAgB/KEA7De96zkTv37jUXuGYNDS+9xLsYg21gdJTkn/0ZZDJ89sv/ieFheOqpFkZGejHkNAIcY3S0gs5OUyAvGjUOdxNPRkENJ2nvpUvLl5RmqZgSSqlO6/MTXs3+y49bODHJnOGIaQFQyp8kDuUQk/nE3Hxdtk44dsxONYkAm4CtfPnL8OijEPq9f8PkH/0RwxjzLYEx3/jYx+DTn4b77uN/PFvF0aO+P0k6USLhK6P6evMu5CQqyo6zsoMj7eua7X0AX2XIMhiikg4fi/mTWEqbhKwkJ88u1ZvLGaJ6q62OT3z+8/Ce9xCOx9n4rW/lKxacTKVo+M//mbr163nssS/S3Ay/8zt3Y/6038SYdXDsWAUHDjQxNuarRz++yXRV8ZGBbwrb17JcMAtiGtZa75huo+DEJHNvmSOmBYetQGwlMjZmnNDi8O7pAUNIMkFALXAd27dX8+CDEHrhb2D/fk5DXinVAdx+O/yjfwT33ccPe6rys6FI8TQ7d01etbWFuXnyEnNFlIK0v9R1weWkU6zTFjtGOGzIxy57K2k6YNojCsU26XI5XzWFw/Djviq23XNPnokThw8z5t2j00Dd975H5PbbefDBD/LkkzV0dV2HiW2S+ueD9PU1EY+b+5ZM+vFNpfxsy42QBPaMRlNCTz+JUYmJSeYMR0zzRNAEKhUeIHlwPT2mtpIZhRvAnyhgE1u2NPGpT8HGo9+Fp57i/MGDZDAPKQ7GfNu9Gz7+cb5/qIrOTj9gUkwhMd1kdttYrHDySCGk4EhbKTKBmXfMqUgql/MJMJfz75X4nOz2y7C9KCZxkEuA5tCOGj748Y/ng6HiBw/mHeLRgwepevJJNn56goce+jCPP95Eb+8mDDGZcin9/ZsIh2tpbTXEZFJnQgXhA3INFy74bV5WJKXU5bW1SkFuQslDlZyYZM5wxDQPBElJTDdJ0LUd3uLs7uiQ6pN9mFE4U+StqWkrjz4Kv/3weXjwq/DSSwzhK6XY1q2mFOX99/P9zjr27/cntZROY88HYBNTMD5J2jxTs63UdjNZngqVlb6CkldwJDGT8Yl3aMiQ+tgYQB0ffOghaG4mnskQ7uriNKaMyuZnn4WxMf7psx8gHI7w2GNbGRyU8sPDQB/HjrXQ0VGbJyZzv3xHuIQ+2PdrWZGTUrO31Uuj6MQkWuu/nesByznGasnANklk2VYKY2MmPkcmoPRNi0sYh3cDu3bB/fdjCrt5aSY5vHIla9bk00tOrNpY1HyzQwCChCTqLRg0abf/atwje1ledrpOMMTCvg4hhOFhc+3d3XCierO5Lzt2EItGqfLuWWZiwjjxXnqJ3btNMLyZlCHm3fMR4FS+hvrgoO/LkvbZ92omcVxLDkJMM3lNA631Ia210lpv01q3e685kxI4xTRvBMMD5BUJ+2ppeNjPgzNqaQBTwzoCbKSyciuf/SzcPPwDePJJhrwE1hCQWLPGMNa+ffyEm+n4G6O6ZNTK9ieVmqDSNt1slbcY96oYolF/skp7hE5UnpC7rZ6yWaNydu7cxg379kEmQ2L/fjJeyZdsOk3jf/tvbPtCLQ8/fBfPPruViYlJjGIyMwIfO1ZPd3ctsZiplWfM4EJHuB0+sGzUEiy0YlpwzLtlSqkKoBM4rrV+QCm1CXgaUxH/NeBXtdbjUx1jKcJ+pva/vt35JYBQzLjXXwe/LO44Jm77Zvbuhfe1vAN/8G148UXOY/mV9uyBPXsY3/1BDj1llMLQkJ+1L2ZbPG6CpCUMoFjQZLDdi4liCspWLOKHCofNKJntdxKzrrPTbNf8qQ8S8QKfGp55Jp/UzEsvQUsLH/xckgcf3Mi3vtWGiQY/icy+IsTU1uarsyrrnom/qbLSnzhzWRBUmRPTQphyvwO8YX3+feA/aq1bMD3wMwtwjrJEsMMH1a8Qk5gfAwNg/q0nMGW6EmzdWmFMjQMHjAk3MUEOr1JAZaWZH7u9PT/9tygluNzssUMUbCVXbqRkI3j/bPUp12LHYQlBSQXfvj5D1uzYAe3t1FRWEsEz6bJZw14HD7JrF2zdau65ufdZbHNueNgfDbTbU+wZLxsskCl3RZo2n52VUkngw8C/A/6p551/H/AJb5OvA18G/mg+5yln2LWW7BGlSUIF/pDDh6WcySDGz1EDtLNvn1fGZM9TjHd0MIwhpQYwaukXf5F3Yjfz4jdMlLgku8bjRh0lEr6j2zbfJMWinElJYDuWg6EL9nfgm3yiRLNZr6zJQ7exYW8UOjtpeO65/KwsVQcPEolG+ezzn2RsDLq62vHDNE6g9c84evQ6urv9uRficd+ME8UkuYBLXikJQqGZj8otAuarmP4Q+Bf4U4nVAxmttTy+AUxo+mVQSj2ilOpUSnWeOZOeZzOuLoKd3f5zsessjYyYf3XTgWRE6AJmJK6J9763kgcegMiB70NnJ2cxN7IOTLrJrl2cbrw5P+vuuXN+JHV1tQmaFDVhk5L83uZDSsHct7kuzxTBttrXYl+jzCQlhJHJ+FH0Z5M3w65dhLZupQ5/ukw6Oogc+nv27IH3vrcSQ/tSnvcko6MjeeWUTvuqyYQPFFed5Uz0M8ICOr+vBOZMTEqpB4CTWuvX5rK/1voJrfUOrfWOtWvXzbUZiwZ5XuJfsgMH5R/21CnfjDMmnARTmhCBHTtgW8t56Ojg7Oho3uEdi0aNN7a9nZ4eU9xRRo7AN3OKjcAFzbfZ4EqogbmSlNzTYiN1YuIB+dzDvEnX3g6treYeYnxNZ0dH4ZVXuK1tnB07wCTBV2OehZlxRcy5M2cuj8OSe1osOn7JYrkSEyZ24ReUUimMs/t9wFeAuFJKriYJHJ9XC8sM9nOySaBYTtzAgB9Q6U/jXQEkqa3dxCc/iZmM8plnGMb8w9eACaT0HN4HDxqn+YkT/vnF4S1ObyEmiaWaiU+kmMIJOqQXcnkmiiqoTFav9slJFJN93bLtiRPmHh88COO7P2hM4PvuowZzT4fBJEI//TSf/CTU1m7C/DQrMM/k3bwqlQRo29ck91RIqth1LkksR2LSWv8rrXVSa90M7AP+Xmv9SeBlYK+32aeB78y7lWUI+QcNh82QtjxDKQInkd4DAzAxMYJJN53A/FMnaW+HO7ePGxukp4ccJnigBsy/flsb3d0m4TdYKaCYUrL/0aV907V/ptsuBGZzPvv7YJxT8PrFByXJ0XnV1N5OHPKOcJk19M7t47S3g4lrqsY8k7NMTIwwMOAnQWez5lkGSX7ZxDQtY8VUCv8S4wjvw/ic/vgKnGNRUezHCoX+JTExBgfBn5zRBFTW1taYztHRAd3dnM1mmcQ4vaPxONxyC7S10dPjdxRJgl21ysw4IsXdgikwi/hbWlDY12Jfo0zmsHatf/0TExSk/NDWBrfcQjQeJ4rna8pmjazq6KC9HdasqcUPuDwHZBga8k3moJ9pKYxwzgri/J7JazGatxAH0Vof0Fo/4C2/rbW+Q2vdorX+mNb64kKco9wQTKWQH6qopf5+U/DsrbfAn9q6Ekiye7ep7cazz0JHBxmsJN177oH77uPVIxG8OSEZGzPmRHW1iVUSB7BdU2khCKmYM38+L/uY82mTrZjsa6+t9eO2JHzg6FH4YXfEmMP33EMd5t5mwAyNPvssDzzgRdmTxDyTLPBuvv66rZqkDaXMuSWLFaiYVhSKEdPoqHGiDg/DxMQ5zD8ywGqgnrY286dOTw/nJyby0y5x7bXQ0sL5+AaOHy9Mzg2HC4lIOkqwk8z1dzQVkczWrzSTY86mTQL5M7CnWLd9atmsuWepFJyPbzATyl17LVFMOGs2m4WeHm65xRSLM4I+4h39HNlsluFhQ0pS8lfasVyUaAHKmJiW262+orCfVam8s2zWDOtLqIBfHB8M/TTR3g51Y+9AdzdjGB9IDExH8ky4VMonJlsxSKiALJdqx0yuZSbrin03G3KCwjgke91MENxPLAu5B+JnE/NLiKmnB27zZhqO9fdzFuPli77xBusvvsOtt27E+JmimOdzDhhhaKiJdNqf2spuh/3s7amelmRs0wqI/F6RKCbrJTcunTaO2MHBCcyY0DlMB0hw++0V3H03cOAA2f5+sph/h5o1a4zTdscOurt9YpJz2ZUDbLNipoRUavvpjjEX822qY0zXnpm2f/XqwnsixxBi6u7GVPhsb6cmGiWECR3IplJw4AD33APbt0skuJDTCIODlzh+3DzDsTHzTAXzCcUoOzhTbvnCVk7gl489d86YA+RLmF3CmAzVJJOwfvVZSKU4j3HMhsGEHTc2QjKZNyeCain4e5lu6Hqq31ax9Qvxm5zuGNO1ZzolV8y3Z98bGXgYHkZmHIDGRsKYe30eIJViQ/w8zc1gxkEjmGeUBc6RyfiKKRhKsSxICRwxLTcIIRR7ZnYWfDoNvhk3jgRVtrWRn8ZkzNsvAtDcbKbxnqhjYKAwRMA242Qkyp77zW7bTMhoJr8/m/Rm4uydavvZ/u6nUneVlYX3IFjaRUqjDA3BaeqMebxlCzK2NAbItMRtbWAqh1ZjnpFRTel0YVlfgR1gueQd4CthVG4loNg/v7yHmMxHe0vSrgmIPItJQQGopbKy3oQJdHfDG2/k54aLgfHGtrTkTTiZj02Iqbq60Nlrk9J0f2z29zP9E7TnhrOXS72C28/kfs61/fIu0e9yb8Jhc89khK63F3NfW1upwtzrcTCh9N3dtLeDUmY+OoMx4CwnThQSUy63TNNTylgxLdVbuqiQf047DQV8U07MCRO8N4mJMI6SSJjJZekeglOn8mZcBPIhzadShXE0dvBkMaVW6ncznUkURNCBu9AO3anaWSzyvNj5ZVtxPotyCdaaEuV66hSwydzXKOQHGjh1CgYHueYWc9vT6WrMM5oEJvJVNIOKCQqnSbcd4EsOZe78Lt+WlSGKmRUCISW7oJlvxlUAtTQ3mxQ4/ksf9PeTwzyAaDQK11/P+VhDvqyJdEBRTLHY5Xl50yXrFvvdlSIcex64YttOR1TBe1OMbErtV8wkDpKUHDNYuE1mD7atDnkOAwNwfncDVc3NRCsriXglZSTI7KbfMhZ0Ol2DeUbGnBMfn/xBmMJ/xe+zfa1LCo6YlhdKxQ2J5BdiMs7vC/iO7xqSSajJnYahIWQkOgomarKpiaEhP0RAfuy2/yRYIlfOX0odFeswQbIJEpKU9xDMZFjcPr99f4LtnKq9U7W9GEkFi/PZ4RPyJzEyYu7nRs8BHunvB4yLOzo0RE3uNMlkHYcP1+I7wMcvU0zBkrv2tS5JUgJHTMsRpTqXdIgLF0DrCcwP/RIQQqlq4nGQv+NxjM8jDPnsVHvaIvs8M3UYSxvsd7ttwfcgGdkz6U51rKnui/0ux7PNLXuKqWL7Bs8XvC57fZDsguacjI5u9IpXRfD9TFGPteLxOszfQwghpomJCbLZyoJnUezcNoEvOThiWr4o5l8aGzMdwqgl+eVGSCTMyLVMbSKO7ygYR0djI0NHL0+FsEfjSnVGuw02giRkFzyTWXLt74PHmKsaKOYDC7Y96Bsq5lSWNky1Pjg6J+RnVw+lLQlNTUR6eghhFFONVygrmbyB2toKRkYiGMqaAC6QyVRe9kcRbMOSxmymb1oELJfbfEUxE0eyVDcU57f5gYsdFMkHApJOw+gokxhiClVW5qME/X39c8gr6F+aSrXJu/0C/9jB9fZ+9mdbfUzXIUttX6q8SjjsKyrbVzYVSdmf7XsRJDj7esfGyJciCFdWEpqYMKnW585BOp1/Lj4xXQImCibcDCqj2ZjOZQunmJYXisUOSXSw/JANAciPHCDkl7v1Ivfyv2Hvr34yHCkYjZNjBztqqbIbxUgoaKLZxGS/F0MxdTYVpuuUUxGfwFZR0/2ZCyFdvFjazBWzejJaRUg85OIA9yJhpXyKHzljzDl5jtJuuwSKwJ6gYMnBEdPyhf1cL10yJJDNyj+sTUyWYurLgFfmJAwmCCcez5tw0hnELLFLm5T6HRWLK7L/8UsRUTGzUMjBXh/cNnju4Lss2yZjKUe7/R5UPTP1rdkmnXyW6z93zqimGo+Ywp5aZXQUMhnWXifEJMm8hpguXPCfZbGwgCWnkIJwxLSy4P+QJ621Fb4K8NRS/ltPItiF7ouRgG26CIqpJDl/UB3JMexjr1pllu3cO9usCppYU6GYWrOXczl/pmkJxgy2L7hOSFLqewfbUeye2Ndnn7dGSnxi7v0kEMpmrTK99nDrZMkYpTLuy7NHGV9M+bZsCSI4qmVQAVTklY/9ZQjytWNtZWFjKtNN3qdTSXaHtkvw2kPtQgL27CpCTLaKKoWgySjnlwh2IUt75DJIoPa1S56gHHO6PiSmXTFcuuRvIAbbJBDK5ab01ZVSS8sCZT5LiiOmBYJ0Kv+HXOIXncsVaKng/gJRAzaEvGw/lHTwYg5t28QRVSSVL4WYgnl3QlbgV+ScbbyA7XOzfV0XL/rm6oUL5rPECsnnoElqm3VCqMFrtxGcMbeg6cEb6hGTWW1/t1zZyIIz5VYG5BnPNbmzlA9HYKsiKScLhcP+9v5BFSQEZBebK1axQBCy6HMyHCHEZEEJEBvynewjn4UIpe2rVxeOXGazpk0y025QXQWvH3xzUFJCiqnMYvc1f7OKYNmqoqmwgMSklPoa8ABm1qS2hTimI6YrhssZKpcDwuECc0J6l+0rKeZgnmrY34YQjJ2mEZwI01ZGISYvGyKbJMR4LhQ4h/85eD75LhwuLN4vRBUJQ4QcRMNMEipQUrGYT1L2AECx67bN0qBKLOXYB+/PwttAwjRkI38/m50qyllMLBwW7iKfAr4K/OlCHXAl3P6rBnu4Ozj8nK+IuGpVITF5PdE2rQSiHMT0KTV8bzuui5GR1MUOjnqZV4hsNlKgVOQl5lepzh88vzjUxWEdjYYs5RYpMBNFSYlj+8KF0iQV9J0FXzKCls0Wqh+7DLFsIMQUxjwLnwhtYgrln+WSL29SCguomLTWP1BKNS/IwTw4YlpgFPosKpC0lPyo1OrVJrASj5i8GINgSECw8wlpBEkp6MwWpWSbb8E572wndC7nJ6tKQKLtAwo61Utds63CbB+WrdyCas0mWvEd2eulPeGwT8y2iWffm2LqyQ63CBITlZWwenURYjLPTf5gguS0pEMEbMyOmBJKqU7r8xNa6yeuQKvymBcxKaXiwJNAG6CB3wDeBP4CaAZSwC9rrUfmc55yhf0jtdWS6WSFztR8qorXU0NeJ5FAmwjjRKORywhEOqcoqeDQud35i5ls9m/PViCSbCzJrhLvIy/Zxiam4DVDIbkI4djkKK/qajOrSbE58WS/NWt8P5RUEYjFTDvFBxUkIGmnTa72/Vm9GiKM5zfIE5PXwLExE9JUzJSzFV6xZ7+kc+VmNyo3rLXecSWbE8R8FdNXgBe11nuVUhGgCvjXwN9prR9TSn0B+AJmrrklC9sFI8Xb7I4aCU9SWRkqIAmTBSeKacKvanlTI6xZQ9jrJLmJCcJeYm883pAnHlEyohjE6Q3ms5hn9ky88fjlCbMXLvhlYqXqgcziIoQkJT7szl3MfJLrtxEMxixmVgoRebm01NaaeeHWrPFrdovJKW2X0UMhWLl+UU/2/Zf2joz406iDf26Gh2F4mJyXjhIGc7LGRoa7zb2w8xohmr+noppCTBb43Yr9RpYUluuonFJqLXAv8BCA1nocGFdKfRTY7W32deAAS5yYZgM//ieCr5qMYjpzhrx8CKXThpiAsMcK0WhDAQFCIUkIxG8SVB92vJGYYtmsXxFzZMTUSBsdNe+imEr5c+yRv1Kwv7OLqJXye1VXm3PX1xtiqq/3SSeRKAxfkGsRcgL/PkiogawT/5K02T6/MG4Oy/m9Zg3EYnlSLjTlIkVHKpcdyvji5tOyTUAa+BOl1K3Aa8DvAOu11oPeNkPA+vk1sXxRLGbIz72KYiZTHAfGGRm5xNBQhSkxsG4dkVSKSbzaQOk0DA0Rj2/OBziKf0fMOFFqojxEKUlnl04sDmtRR55YyJOSkJRdOtaOGA/WU4JCH5Vca/D6g6pKCCKTKYzgtq8hFjNkVF9vVJRXxDN/fTZBSbqJfX5ReJIKJOaymHByHoaHIZ0miyGmCJiTJpMMDcHo6AR+Qb9KRDEVM4eXnDIqhYUNF/gmRowklFIDwO9qrec1A/d8WhYGbgN+S2v9qlLqKxizLQ+ttVZK6WI7K6UeAR4BaGjYOI9mXH0Eh7Aj1r+r/KDXrKlgdHQ1hnqywFkGB2tNycTGRqrkWJBnjHizIZli57HjkeyOHY0aQhHnuBDO4KA/6abM5mtXZbSPbXdA20EdLFBXTEEE/T22aSXEGjQJ7cqQQp6xmJkkJpEwZl5Tk3+dtn9NpmqyQw2EQO2gTDD3sr4e6BmCU6dMvW+Mv4GmJmhutub+m8BQVoQ1ayoK7m+QiKeLnVoSWNhRuY8vyIEszKdlA8CA1vpV7/O3McR0QinVpLUeVEo1ASeL7ex59Z8AuOGGHUXJqxxx6VKhOrH9hzICJD/o0dFKfD/TOU6dquX0WIS6RCKfMpqDfEJpPG4sjGKKxB6Ot0lDtsvljA9LfEfHj/uztZw6VTjiJrAVTNBhbV+HTU5TRaMHR/mCjvQgSdmfJbgyX6oEo6ImJkyBz2L+KzvBWWCPyK1ZY17iWJOQUamxfnos4pVAlkqjRjHZjvng9Zaq7rnksFxTUrTWQ0qpfqXUjVrrN4H3Az/xXp8GHvPev7MgLS0DyL+xnXBrdwRRNfG4+fdPp2OYf+NLwAipVJLubrj3+uuhuZlwKkUOM9dZVSpFVe4s9fU1xGKXT1EtROG5RvLnllGlc+dMjWsx3WyVZJOR7Si3zSkxCZua/AhxUStCXmAFZHoNk2hw2ywUB/vFi0a5iYPdNiNtv5YpQ2zeT50y5xoeztfP4+LFwqh1MO9r1vhR4wIhb1FgVdnTMDDAecyfQH6qrJaW/MSiMOI9o0ogVmBSBucNlHchqCWtnJapjwngt4A/90bk3gZ+HeNb/Eul1GeAnwG/PM9zlCUkfkZgm0L5EidU45fTOEc6fYm+vgru3bIFNm0i6vmZxoGqoSEYGODaa28mkTAduFStIXtUSjp5JkO+Zrh8lm1kBM82AcVsisWM2ysWMyZUba03vJ6XOZ6kGcj6F24h5DWqxrL3NiQN+40TyZORTA4gk1EGzUs7qTc44iZmm39fC5WLreiiUd9f1diIOenAQKF/adMmaGmhrw9GRibwp3BfDVQXmHFBRRZMASpyS5YGluuoHIDW+iiwo8hX75/PccsRopZyOV/eixkymU/J8Oc484lJwgayQIZUqh4eaIZkkijkiYmhIRgaorH55nwHHB0tHktz8aLvHBdTTYhJOrvklNnmmXTWeNyQkaiCxkaI5M577DFWOmYADCPYtmyxeAGvR0eiUTbEYpCMMR6uIpHwlVM8XkimQl7iOLeDLMFsb4+4yf0XyGlFLcl1kTISModVyjiZhOZmUs+CUbRZfMe3T0y2v09SaYIO/yWL5UxMKxV2pLH9zy3mRX7+OGrxp6A+C5ygo6Oe8S/dQeTOO6n7sz8jg+dn6uuD7m4279hBW1tNnvxsYhLfi5huYgbZJpJ0FglmFBKS92TSKKP16yb9HXvGCokICm3U4HtwncCOeAxEXkaiUTbG42xsjEJbghPpEGfO5AUNmYz/Ln4pe1kCLU+d8mOeJBxCThOLwbXXwvXXm2myNsdPw9Gj8MYbjGN+7HGAO+/kfOttdHQAvOs9m4j3rBJccw2sX2/uoW0migkfVMtLEo6Yliek3wpJyTMWMli3DtasiTI6GsMPGzgrs1Nz29atRONxopmMmba6vz9PTi0td+XjnuQ8YgIJOdn+Gem8tkkjaiiRMC6VtWtNp21shFD2PAwMFyojsIOwLrchpyIjeS8WkSnv0lgvpHt9IsG6dVV5ZXLmjPlKTNHh4eJOchnNk2baznJRh95s62Yq8L4+vKE3okB03TrYvp2uLvO1IaVx7xnVsGZNpffsCknJJqMlrZQEjpiWL4I/0BCTrFoVypNTIgGjozUY38VZ4Cz9/RMcPVrJbXvbYcsWoocPMwaMZzJE+vqgp4fW3XcVxCCB3/lsE8dOGxE/THW16VTNzWao3BsVJx6HmvB5GMr4JFHMFrKdNXacQDRaUGfJbkuIyUKzz1ZfxdZ7NnEoGmVDPE4sVsXwsDnd4KA3gy6+MrQd60FiEuICP0jT823DfuPdHve861EwX7a18aOnob9f/EuXMBO1x/KELpHnUsIlyLNLHm6WlOUD+0cZnBVFRq1sU66lBQYG6pmYiCPEBD28+OJWmptreN/99xNNpYik05wGGl95BaJRNu/aRXT3DWSz0NHhD/vbrh2BBC6KE1uc2tdfb1RbYyNU5c5ePue1HbDkeXonw5HCKPBMYZWB4D0AIacQq1ZVWVUFCqO9QznLmR4MdhoboyYWoyYRo7GxhqEhc63xuO9/Ghjwdx+xsi7t+yGjiG1tcM89sCHzE3jxRTh0iNN4iSaNjbBnD3/fWcOLLwL0YEbkJoE4lZX1tLSYZ5dIeKEG1rOXptsm3ZIlKqeYli+CjtCILy4KIpkHB2u8rSaAU3R1GdfH+9rbobmZqEdM5zMZqrq74ehRNuxpJJmsyf+piVknZqO87AjwxkbjG2lqMmZbPA5VnPcJyd7RGnY6OxZibLgwPSVoQhWbEFN+18E54mzOMyEHEWKxCDWNsculnhxwbIyqeJjGxirCYUOEUqPKDns4d66QFOScEkaRTMKG2Fl4+QgcOcL50VGyQB2Ym9LezuHDxpyGU94zMWackLr450pFuC8LOGJanrA7qf1jjYQnqa4O5Se4TCYxEd9UYhTTID09WQ4divJPv7oLnn2WqsOHGQBOA/T2UnXoEDQ20tJyb75ukfiXcjnf+bt6tT/kL+e75hpDTBsaJwsjHAOJa+PhKkZG4OKwf2xJhC1W7mS6TPpgfpzEE4kD2bTRKKva2ioiUj7ANvsyGapiOTYmYxgVZo4rplqw+oFcloQ/RKOeCdfZCa++yvlUyhA+sBGM42nnTv7hKejtPQcM4s3LC9TS2OiPVsZi5lkK7OdcLGRgycER0/KDHTpgO2TD4RCh3Di1tREuXjTujOZmOHy4CRM6cA44AXTx/PO3878+v4G7du8m3NlJrreXYQx13fzccxCPs/nRVhIJk9hr8t3MJJpKRUkmfbNROpSX7WKGye0wby9ScjJaRToN5zLGXBL/ja2SxHSDwpGnoEoKri+VzHvqlE9WkqRrAjmriMWqiIszPuCITyZr8kGrNjGFw2aTgQHQOgtUUFtbSThsrntz7CTs3w/PPUcK8lOxh1pbYfduftC3geefB+jynoWMnDbR0mLuoRATuRyT4chlkRPLBo6Ylh9ERdgEJbADLRsb8aagjmFMhyxwkomJATo7k9y1ow1aWgj39jLmfZtLpQj39EAqRSLRYPkoTUKw1ibmxjaX7EjuUG680M6JxRgnwki6sLqARGeLH9z2JQVR6jc8lblz8aIf6iQcuWqVv7xmjfm+traKSCxccIBQbpxYzJ+Pb2zM9+MBaG2m8jbeo0o/dswbQBhPpTiLIaUYmKDKtjaOdoDWA9azqABWU1tbkU8ozptxgWuy/UtLHk4xLS/YoQHy2X5FcjnTGWKRvHppboaRkRqMyXABEztTzf79SR599C5CO3YQfeEFMhjFNAA0Hz4MR4+SbLmDRELOlkVK9QoxSYdcv94nJrI5fyTNc2hLuEGwuoBdqTIIO0pgqimcbDOvVBBiOGzOtXq1H4MlSbgXL+KRUJ3vKM/liMUi5HLm2oSYCkl6AuO4NkGRzc3AkSPQ2cm7QAajhaIAO3Yw3n4H+38PoM97Bhe8b+M0NxszeN26QnLPESnp6F7SBLVcc+VWOmyCEhMoHIZITMax85Pssn49mNC+asw/9DlgmO5u44Td1txMCOMLOYnRALFUisSLL7LjqUfo6TGdZWTkAoa6Rujvb2BoqNbER/aYc0iyK1QVJM6KIspmfYKRcIZ43PhlZETvhubxfBQ6PT2FtVPsUTUoHNUTT399PWzZkrcpf5qK4GXb0NcHJ074sUriUBeflCFW4yi3wwHSabNfKmUGDUxB1JMYkja5hS0tsGMH8Aff42R/P297W4S9Fy0t9PSY/WHYewYV3jOpyQdUVlfLPTSsnLUu2Z5ZeMnDKablD/sf1Z7iSPLTamvB/HfX4JPTJQYHTWfb1tpKnfdtBqse+NgYNbFJYrGQlx5h1xE3EG4QR7gdemQ7sAU2CYgvRZRCaOws9A0Y5hgd9XdctcqXY8WISTzdYORPOp0fabshmaSlpYZ02vieRbnZZBm8Fvu+CsFenpoj1QAq8n8AVVHj8JdicFWYv4M6gNZW+vq8KqL5fasxPqba/Eic1B63Y7aWnW/JQ6npuMoBjpjmANv5LZ+L+R/E4dvSAk1NtQwObsH4Ni4Aq8lmz3LoUA07PncXGz72Me741rdIYBRTQzQKySST3ujUunXQ0yPfwrp1tbS0wAMPwK5dJn6nLvVDI0t6e+H11/1s2aGhwgjvigrj4JHx8ZYW8p7fHTuY3HUvqRQcHoMTY5A6ZQg0WK3A9m8lk9C8BpJxaL8JNjdPmp2ee47Q8eOs7+tjfV+f36bRUd9jLqOFYvsmEnDLLUZ5tbRw+lO3cfSoiekKh6Gvr5Z0WkbMali3zlzSJCFCySSNlZXkJibYCGyurIQHH+Sdxjs49DRks2cxAa8N3vsWrr22hpYWn6jt52o7vW21tNSJSuvyvgZHTAsE+eGKSRe0cpJJGBpqQOt6DDkBnKSzs4b9++HX9u6FbJbNzz3HecjnZ4Q6/zc/93N3cO4c3HJLJRcv1hOLGbPlxhvhzi2njT34Qr8pwiRBPfv25YfqfjpcRypl3C+vvWbMqp4eGOnygj5fPokxbcaAHwKvIo52o90u4au0YJJYhfVegdEqEcQpbfTKRuB+DBnUUFtbQ+t2w4O33grbveUbEqcNsUoCXSoFqRR117zB+zZt4n2fbeX976/jzTehs7M+73dqb4ePfARCnf/bMGd1NXWZjCkIt2cP7N3L/v0misAvD7YaqEep+oJKC7Z5vpzVkiOmFYBi/6KiqiTbvb7e/PjT6RqMn2gSOEdfn/F7/Nrndhq2SKWIdHUZhuvthZdeoiaT4Tceup8dO0JkMua4MqzNQMacYNMmk7maTDIeb6CjA3o64ch/h3/4B3OobHYQU4lmBEOO5/AJSCC1yisxnVeWZX1Q/gtxiTP6EkYRnrPW28eOMDJSwyuv1PPKKzV885vXEY02sWUL3H13HbfffgctLXew60EIDZ/0w769cpfbt9dx7bVG4OVyRq1ta5s0IQKHD8uFGl25dSvceSfs3MnRPzCc5/uWTFClPRIXnF7cfpbl3InngsnJQjO63OCIaYEgP94LFwqLi1VW+gXYkklIp9fjp6ecoL//JM8+28CePRv54N69MDzMZFcX72aznO7pIfKlLxHDaI1tH/iAkUoPPMC73MXzz8Mf/uFmDh4cAbqBZzBlsc4GWrcVaAF2sn37Tnbvhs9+Fm7I/tjYR08/A93djKfTnMQ44W29FETBhJ1FvjPzjJhXAxBZt87Imr17YedOfhrdxuOPGy7p6voJ2ewLdHX10dXVxeOP20erBa4DPghs4p57avnc5+Duu+Eu/hc8/ywcPUrupZcYstpdByQA7r8fPvYxvt+zkWefhcHBk5jYpRDGv7Se5mYTEC4Bq/azXDahASVQztfmiGkOKDWYkcsZ36/4ImRAS+olmRpJlZhuUwskuP32BvbsgQ+2vgOPfwOee47TmAezEai55x7TwR5+mL/u2EBnJxz6gj+qVVkJ731vLbHYPcRi9xS0JVjJROpFDQzAV78KjY3bSCS20frlR/LunWT2ZPEymHYmrY1iMwyIbZRIcDbaQMoa5Bt+3nd7XXMNxOM3k8vdnG9fseJs9ujiF78oo4p3sWvXXez4LPzSU++SfPJJ2L+fzMGDjGMGERqeeQZiMT748MM89NBGXnyxgcOH2zGjckY1SRrOqVP5IgQF97CUWiqmrJYSnCm3zDAVKdnBlkJMIyM+KRlfbwRDShWsW1fPrl2Gd8QJMp5KMY43hrdmDTz0EDz0EP/3l0P82397CTiGUUWG2K69dhN3320SV/ftg1DqbcM8o6NmOLCxkdPxzfmh9sOHzdD7gQOFjmzJpr/22gYSiYZ8IvK6dRBv9n0wwVrjMmomI23pY3D8kM9t/f2FUy2Jw1x87bffbsRUSwvUDL9t2GFkxPjJkkkmmzfz9NNw8CD8zd9Af/8xDLGMcPDgZpRq4Utf2sC/+dIXIJkkfvQop0dHTcWGVIpIRwe0tLB7968xNgapVAPptIxsmqhur+Q6IyPFiXGq30I5d+6p4IhpmUIc3MWmj5YOm8n4aR8gNburmZioZvVqM3yeSHidwBsRi4yOsvH11/1RquFh6O7mwx/eRl9fBZ2dLfT2SnrLOP39p/irv6rn9ddNn25v30x7+2bqMm+bffv6qAunqIvFuG13goce2pxXL1KqKJXyw5REKNnCyE4xkWu3r7dYCot0bpntRMqRNDYaEmpt9WpDpbx2do75TqObbuJ0fDNHj8LRZ+HZZ0170+lTGGOtFkiyZUsTO3fChz+MGQAYHobmZuqGhqjLZs3I3o4dJlE6bNrQ2grZbH1ebUo0uUz9lMkUErDdeZfTVOGOmFYggnllkvMlCM4skskAyYTplLW1pgdMTJi/8qEh6Otj655ttLWZDtTb24BJQM0CZ0mnK8lma/LlajMZ2L17M3WNjYWsMzZGaGyMDbEYG3YlaW2NCHcxNGT26+8vzKELxkIVS78JJu/apWmlyoEQUiIBGxLjRtV1j/kFpyTZrbmZ09kqDhwwCk9UnhnmP4sxwYz3qrXVcM/WrcDzfb5SnJgw97C2Nh/PkBkoTB+0Z7uxfYJlHHO4oHDEtAJh/9MWq0gL/lRFQiS0xa2cEkzPyWQMsTQ2UjX0Nu3tmxkbg+7uCo4dq8aMgplZWEZHz3HoUFO+dlM4DK2tVdwgw1d2aUgTDMSGxkY2xOO0PbgxP8OK8JjtYpKZWOySwvY1SViU1Ba3XEwFicWhgXdgaBi6hwtLsUgwVGsrP+kJ0dcHL71kQrG6u2U08Zz3MoGqmzZV0NZmSKlq6G0zGie1eWXmTmsGg0x34QSZ9rNaaaQEhpjcqNwKhfzoZYICeUl+2NCQ6U+xGJx4/0bWt7WZznX0KAwNkctkCHd25oOjfv7hh0kma8hm4YUXaunpqcH4nM4BZxkZOcvBg7UcPFjPa69V0NoK7e0Rdu/eRnM71GXf9dNMenvNci5HKBxmYyzGxliM2xIJaI7nZc5ktKqkeiqmkkLZ8778ymSgbxiOjhUSUUWFsfE8GXU6uoHeXviHPzSX3tMDhw9fwoQ0jHjXZyYKUGoTN94IP/dzxqe2rfksPP5t+J//E3p6zD1bs8Y4x8wN4MSqjXR3m0seGvJnn7GfSXV14Wy/yx1OMa1Q2ObN6tWFEzRWVPid/MwZ01neegvWt7bCsWMmrmBigrB4ZY8dQ0Kft+3cya5dNWQysHp1BUeONEG+YIrEDp3j8OEkAwOVeQXU0gLt7Rto372B0NC7hfabTAQHRjJJI9esIRSNUlNdTY3MEx5M/BzO+nESkp0rZQtkzB38BD3Lrpts3JA31/r64NAh8z44OIFJZb6AMVdNzBEkaG83zvJduzxSOnjQyKr+fshkzA+6vt5ItRtvhJYW3uoxl3rmTGHwu/1MVq8urCm13LGsiUkp9X8BDwMaU+Dm14Em4GmgHngN+FWt9XjJgyxx2L4KKO5/CU5WuXq1HyUu5lN3NySTdWzcvt3801+4YFTT6ChhMyuj6dCZDA/u/WUmJvDmn6umt1e8smLyXAKGGRysZnAwQXd3A83NfoduadnAzp0biKR+6vl6un2n0vBw8eJDU/XYUttKTo5MMexlC48330BHB/S9aMjo6FFzD0ZGTuIn2IpKimB+ShvYsqWS+++HnTvhwQeBbz5nQtkPH4ZUilw2SzgaNY6t1lbYvp13xuryE1uKUz8cLsxjtJ3dwcoRwWe9XLDQxKSU2gN8BeMEfFJr/dh8jjdnYlJKXQP8NnCz1vqCUuovgX3AzwP/UWv9tFLqceAzwB/Np5HlimIlUOzPNinF44ZrZDLLcNgXKxUVJl0iFoNdu25m44c/bDZcvZrwkSOmN6VSxvHS10coneZXPvIRdu/eSHMzdHRE6e6+jiNHEpiOLSbQCPAzRkZijIxEOXIkwZ/8SZJ16yo95XEDLS03sHP3+2hpgaqxk4akBgdNTIEoKrtsZDEnk+0nEieT1Phta+N8rIG+PvJkJCopnRZlNIxRRmP4qS21GEJKsH17NW1thpD27YO6sXfgj56Dv/s7oyY94g7H4ya/ZfdueM97eCd2MwcOmHs7OOiPjkpTEwkze4w9wWWpQnilPi9lLNS1KKUqgP8CfADzQA8rpb6rtf7JXI85X9EaBlYrpSYwydyDwPuAT3jffx34MsuUmATBiRhlWVIcKiqMySD/0pIoKlbRxYu+ckokYOPWrcYsEi90Ou1HAVZWwo9+BPE467duZc+ebfnh+Fyumt7earLZGKZzn8V09hHv8wgwTDpdzUsvNdHZWUsyaVRLays0NzfQ3v4+kju8GVX6+nwVJcFYdvEmyblZvfqyOiqns1UMDUHni35u3tGjZnlkZATzU5GRNkllkTSYGiBJNFrPli0mzqutzai9uoEfQ1eXuQcDA/6UKjJnVlsb4hXv6fGnTZcCePZECaJiV60qfFbFyGm60sJLDQusmO4A+rTWbwMopZ4GPgpcfWLSWh9XSv0B8A7GGfB9jOmW0VrLJQ8A18z1HOWMoDoqBTEb1qwxncOe5lr8HdlsPiqAigpoadnI5t3e37eopb4+fyhcohrffJPNu4fZvHcnu3ZV0dwszmOTh2bSLwa9lziR3/RaZnLWRkaq6epqANYDcdatq/VqlVfR2rotPwVUY9LvzHYckwipoSEY7DU8IYQwMADptOTlDWOHOPg5dDLRZDUmIr4JWM9731uZ55gHHoDNjeeN5Nq/37d9h4bM/Vi3zo/Y3L0bdu/m7UwdR474rrRgRQR7mqY1a8wzCoZ1TPXslzpmmSuXUEp1Wp+f0Fo/YX2+Bui3Pg8Ad86nffMx5WoxrLgJkwHwLWDPLPZ/BHgEoKFh41ybUVYIklVlpV8ITUbjxJSDwkokY2PG3AiHjcskt72BG+6/3xy0t9fsmEr5493HjvlmVl8fm5ub+e2Hd/H2UBU9PXDgQCV9fUm6u5Ne4f2TmKqN4ocSU88miArS6WrS6WqOHIny3HO1GAUTxRCHVAwQn9YljNoZ946ZxfxHjXjL4iu6FDhPFGOqVWOIKAkk2LLFmGwtLYZfWls9Qjp0CPanDOP19JgQ7YkJfwYCKVPgyaufDNTQ1WUGFMSEs91etiknCrZUtPdyIKFimKViGtZa77iCzbkM8zHl7geOaa3TAEqpvwbuBuJKqbCnmpLA8WI7e4z7BMANN+zQ82jHVUUxv5KgsrLwe9s0sPPAYjFjFdlVGicm/Mjj48fNv/jatTVmpC4c9m0RCVS6dAkvx8JfD2xuaaF5z2ZiMaMWjA+qmlRqE4OD9ZgK2CMYghj2Wi4mlXh3hXhWU1jGRJZtSKqvnfZ7gcLyKBUUV0b1wHU0NdXQ3GxMtdZWQ0y7dnlR4Yf68uET+aJQwvbr1uXjn7jpJmhp4d2xGlIpcw8l8l5qs8szkPCN4JyeQTPOjmwvVrlyqZPWArb/OHCt9blkv58p5kNM7wA7lVJVmF/i+4FO4GVgL2Zk7tPAd+bTwKUIm5zsCSlzOeNsFcUkEdYmudcPuBSuAdi1axs1yaT/Fy8dVBLdMplC22n9ekJNTdzb2sq99ycZ/9RGOjvF+qmhs/NWUimZvkgcz+8g+WfG7DqLr3hmOxQllSGjGBKsR/L6TFpyAriOLVuikoVDW1s+I4fI0DvmOp7s9mvqSqSnDKmJHSbRm21t0N7Oaeo42pGvHlOQC2j7+ITP1q4tVEylRleXIxbYx3QY2KKU2oQhpH34fuY5YT4+pleVUt/GVBbLAUcwCuhvgKeVUr/nrfvj+TSwHGEn7AajuYuZAxIzI/6MeNxsK74mOabENsl02dGoCcm59to6NrS3m4MPD5sdrTST/C9Mls+cMd8nEkQSCe5qaeGu+xOcfaCBN94wfb27u5qenhsZGLiR7u67SaezGGISf9RZCk0yUUG2F1jqMwkZidknUyLVYpRRLevWRWlvNzzS2mq4ZP16I3RqpKLBi32+w9+uMS6jfnZUpFTe9A74braO/n4/LMCOepD4JBkdlVK8Er4hYVvFEHR6uwqWxY6lc0qpR4HvYX4MX9Navz6fY85rVE5r/bvA7wZWv43x0q8oSBZEsZABebfNOekU9nxuUJgAPDxsSAQgdlMdNS0tfspKNOrPw2Q7q+wh/UzGOFk8MqtpbOTO5mbYnqC9PUIqZb5+/XVIpaIMDTXR09Pk+ZTFLyVF36SonIygQWERuWp8cmogGq3OB1/LTDG33GIc6c3NsLHRm/Sge8APSxgc9IM0bcK1h9Lq6w2ryIEaGzkbNqR0/Lg/gFgsQt3+cwiacXa+nED2X07xS4KFLhSntf5b4G8X6njzDRdY8QjmxAXXCVHZ/iT5QUi9f/m3Fj4RZ62ke4lbpbV1A3XtjX709NiYXz9baovYTCeK6sQJvwd6imNjPM7GeBzWxWFfY948enc44pFiNYODm/J+r5mkpIgaaWryJ0xZXzvus+zAAAyPQV/GlzT2POQ2RCEJm6xa5dcpl1ip5mZOZ0L0dPtKaXCwsHyUXPbatSaYUuKW7LAr2/Ftl64JPuelrpJsLOvIb4dCyD+r+CqCJTPsfpbLmY4i+0h4kLxGR33Lzd4vmw2xIZnMl5rNKyd75kpRULbXVhpjlzSQObirq/MyYkM8zoZYDOIxkzNnSY1JQkXjK0NM+qSYr+o2BgNjvnwZHfU90cFYKPsl80vZkiYe94lJ/EuJBO8OhfLJxmL9nTljTmXXXg+HfYUqkd42IZUqZyK3b7nCEdMyxHRR36VCByQm0U7oFSKS/WRfuwibDHMDRKMR6uy5muRA8m6/ZLjPJgTbXoTi9mZFhR/c450nFA4TqagoHJeziU8uRqriBSPFS5GRTZA2Kdn2lz2zQyzG6bFIgTvKdknZZBK83/KShN1isUvTjb6Vc4eeKZxiWgGwneGC4I89aM7Z02bLvjLRgPRnsdTs7fKiqNHMXFuVjBaqFVt22WRhH1TI4+LFwmhu+V4Ia66/XDvpzFY+MjQm70KqthMoSFqyjUdM56kiM1w4ODkwUJg9Y1flDAZUysvmu2IDFsEQgXLuxHOBI6ZljKmiv4ulqYA/Qge+SZfLGbEQ7AS2q0jClySVRcissbGKSDzsxyAEick+STGisonJVlWyHGxQMQQVl5hjthqyicl2TgXJyD5OwC82ToRhj4DEfJPSxbZ7zeZEKWliqyXhwGIjcXLppVDOnXk2cMS0QmB3CBmhC8LuMFDIGWvW+CaIzQm2WopGC6fUlnPG4xGqxM6zSUg+BxtaSlUVIynZZyqHi01EUEhGooiCJCQ3IcjcxczKWIzz2VB+4E6iIWQELqiU7IEDu6pDkJiKjcQJ7Est5w48V7hCccscNiHZLpSgn8NetuOaZJ3EQEl/DQ6wmamtfcduNmvUgqS5xGIhEok6IowXhg/YvapYHIO9TZDQikm4YrDJRN5LLQfPWaqNHnuIShJfW3+/P6NJOm3cZxIIb4+AWu4o1q69PP1kqmRdeXbBkbjlRFBOMa1AzMQRDqaDSGewFZNYZVBYo1rWi384m/XTYOJxqe0WoSoWYMogihFJqQsptjzVMac6nn0s2ykX3NcjpfPZEKOjhVWBT5zwVZIUfpP7ZpOSvNau9SsI2CbcbB3eyw2OmFYASvmaguEDgmLCQbatqPD9SlDohL1wofBfXBSXLZAuXjTqKR6vIZQLqKdSDS6haiYvm3V3ZgjZU2EGFdhU6stjjslwJG+eiXNbiGnIUk9jY/6klFORkkR5S8XKUibcVNZqOXfiucAR0wqBLQLs9+APPdj/7VEh2zEu/+5geEVG4C9d8jujqCbptCMjfhChmTYpQiwWISLSzI6OlECfUg0Lhw0tzUQJFVNWU5mBNjFavqdxIoyMGHIVX9LISKFKkrhMmRwB/BCncLjQfFu3zg/RkhCBIClJs4ImXKmmLxc4YlqBCJJTKdjBfcIdly4VmnU2f0iyr6yHwpF9IUL5TtRCPB4hGo0QsmMRijW6WONtc2uqX/JU5FTswi3n9mQ4UjBjzOioISO72q8s2wJQ7p3UVBfFJErJrrc+ndU606YvJ5TzNTpiWkAEHeHFYpuCZLV6dXHfb9ARbh9X/CpSMy6b9dWTXcZXiEliMfMKKjzp7ziVh3e6XjzVjSh2DHukLRplPBfKB4oL8djKSMw5O3vFVjY2Gdm5vbIs8Up2iFSwmfZknaXE3XLEQufKLTQcMS0wiqmk6cip2Oi5PWpkdyw7jnJiwrzsETzJVJEZZW1iknyxaDRELFZFNFpFOIwZySvlA5ptz5wiJmmcSJ5Yx4b9+erOnCkkJlkOxo0KidgB7xJAaZORbb7ZUQqlnkmxWktzufSlBGfKrWAECch2hhcjMNuss49hL8s2tnNcXrKNHZ5kE5bMZyc+Gem4sZgx9cJRjMM8eKBijbExRbjAZNgiI49ghJDsGX/td3vuA/GvCezwqOpqv8aSqCMr7a/AVA4+F7l3QR9gOXfWhYQjphWIUiad7QwvVu0y6NIJh812sVhhuop0TunkoiYuXDCvykqzXpSW5NqV6sDSwc32EU9lmPfwDPwzlw28WYRok4s97ZwsB5VRMM1PEIzXtK+lVJrJVEppKmd3cHm5opyv0RHTFcJcyAn8DmUXnZN/fiEm2UaWgzWdbPUknTwcNkpJChLYZBTszPaynL8UOQVJCS4nJVsxFSMpCTa3XV4TE4XxXnY4QJBk164tvJZgIHqwrY6UnGJy8DBbchLYZp1UJ5BtxJwTcpLzgG/e2ce3TTlbURXLqbWLC8xWMUlog63oJNvFVlDy2bYa7Yl7A77yvDqyHd4y8ma3ez6ktFLgnN8rGLZZJp9nEuMky8EROlFJfm2mwiH0YDkmOb/4aMTEs/3Tcmy7DFLw+2KR0kEESz/Zfi75LkhCNllI+4RUguWYgsRkqychVzAkVew52KNv9rNZaUpJ4BSTw7RmnV3BEgoJSjqrXa0gHDYmkB2AaZt1MgOLEIN9bnm32xQsqmaPDAohFVN0xTp1sVyzUgN+AiET2y8kKi5IQH7qTeG2xYgzeB5HSj4cMTlchqnMuiCCJon92fbpZLN+5Hg06sf82D4oex97OUiIpd5ncl1TvRdDULkJyQgZyQiirZJsRVXKdLPhzLfiKOd74IjpKmEqs64UiqmUykqfgOwwgFyusIBl0Kdjm3hQ6JOaDZHMB7YaC6be2GRjq6ViZBQ0L6fyJ8HlcUorWSkJnGJyKEAxs04gZl3QaS0oFfdkE5ydRV/MrBOfj6ybDTGVWl9KrZQKb7KJxSabICHZ6kn2E19SKZVUjJRKXUM5d8wrjSVPTEqprwEPACe11m3eujrgL4BmIAX8stZ6RCmlgK8APw+cBx7SWv/wyjR9eaCYchJysjEVQdlmYTZrOrcQksyyEnSK2+EFQVOvFEEVU3jFyCFIRLJsqyTbn2RHctsEZX83W5UEUyullY7lMCr3FPBV4E+tdV8A/k5r/ZhS6gve538J/BywxXvdCfyR9+5goZhZJ5+LEZSoJ3sf+93ulLaJJyRTXe13UpuY7GH9qZzUQZK0S7TYCJJG0KFeLAzBNs1mS0al2jidP8kRlEE534dpiUlr/QOlVHNg9UeB3d7y14EDGGL6KPCnWmsNdCil4kqpJq314IK1eBkhaKqVGrGzh9OD+4C/j3Tg4HRE8n0uZ9SIDN0HzblSBfinUh3FlJz9bjunS4UoBEkKCk224HmCbXGkNHsseVOuBNZbZDMErPeWrwH6re0GvHWXEZNS6hHgEYCGho1zbMbSx1TkZGMq9RRcBj/EwDaniimjUvFHsr39DperJ3skcSqf0lQkVYzISl1XqfYECSm4XOzzSsZyJaY8tNZaKaXnsN8TwBMAN9ywY9b7LyfM1LSbCqWG9qWTT0z4aknOEfQrlTLhZjrpoyg1W+WU8jfZsVL2PsWuwW6T3S67bY6QZoerRUxKqY8BXwZuAu7QWnfOZL+5EtMJMdGUUk2YSe4BjgPXWtslvXUOM0Ap9WQv2/4dO5+slIkn300VI1XK4T3b8IFi5FiMjKT9MD0hBc9fjCwdKc0eV3GWlG7gl4D/Npud5kpM3wU+DTzmvX/HWv+oUuppjNP7jPMvzQ7FyAkK1ZNNUKVQyswL+qPAV1Mw/zIgpUIaYGYkVOy8xRRScJti7XSkVBpXSzFprd8AMAP2M8dMwgW+iXF0J5RSA8DvYgjpL5VSnwF+Bvyyt/nfYkIF+jDhAr8+q9Y4AMV9SNOZd8VCDGxM5Y+yEVRWUx1zJvuXakMQwWsqNRI4E0XkCGl6zJKYEkop2wR7wnPFXDHMZFTu4yW+en+RbTXwm/NtlINBMfOsmD8qaOJBoZlXbD8bU/l0pkveLYXpFFHwPDbmqpCmWu9QiFkS07DWekepL5VS+4HGIl99UWv9nSLrp8W8nd8OVxb2j2c2CqoY7BE9GzMlq/miVDtLqaNi+ziFtDBYSFNOa33/whzJhyOmJYSpTDxZPxs/lO04v5qYiogETh1deZTz/XPEtARRzMQLri+mtGwCKOWTmqvpVgqlfFTTkdFU66Za7zAzaA0TE5PTbzhPKKV+EfjPwDrgb5RSR7XWH5puP0dMSxTTmXj2d4vZiWc7s+1UbXVktJDQwAwD1OZzFq2fAZ6Z7X6OmJYBpnJsz4bAYObBlLPFfAjHEdKVwpUnprnCEdMyQikSKvZ9cJupOv98Rtjmup0joyuNq6OY5gpHTMsUU5FQqW2CKOavmsu5r9Q+DvPFlfcxzRWOmFYIplNT0+1zJeDIaDHhFJNDmWGmsUxX+pwOiwkNjC92I0rCEZMD4Ihj5cEpJgcHh7KE8zE5ODiUFZxicnBwKDs4YnJwcCg7OOe3g4NDWcL5mBwcHMoKzpRzcHAoSzhicnBwKCs4xeTg4FB2cMTk4OBQdtDALGeauIpwxOTgsGLhFJODg0NZobxNudB0GyilvqaUOqmU6rbW/XulVI9S6sdKqWeUUnHru3+llOpTSr2plJq2tq+Dg8Ni4dIMX1cf0xIT8BSwJ7DuJaBNa70N+CnwrwCUUjcD+4BbvH3+q1KqAgcHhzKDxgRYzuR19TEtMWmtfwCcDqz7vtZaCmV0AElv+aPA01rri1rrY5gZee9YwPY6ODgsGJa2YpoOvwG84C1fA/Rb3w146y6DUuoRpVSnUqrzzJn0AjTDwcFh5pjE5MrN5HX1MS9iUkp9EcgBfz7bfbXWT2itd2itd6xdu24+zXBwcJgTyteUm/OonFLqIeAB4P1aa+2tPg5ca22W9NY5ODiUFZb4qFwxKKX2AP8C+AWt9Xnrq+8C+5RSq5RSm4AtwP+efzMdHBwWHuXrY5pWMSmlvgnsBhJKqQHgdzGjcKuAl5RSAB1a689qrV9XSv0l8BOMifebWuvypWUHhxWL8lZM0xKT1vrjRVb/8RTb/zvg382nUQ4ODlcaVyclRSn174GPYLzobwG/rrXOTLffQozKOTg4LDmIYrriplzRmMfp4IjJwWHF4soT0xQxj1PC5co5OKxILIqP6TeAv5jJho6YHBxWLGZMTAmlVKf1+Qmt9RPyQSm1H2gsst8Xtdbf8baZVcyjIyYHhxUJyZWbEYa11jtKHknr+6fauUTM45RwxOTgsCJxdaZvsmIe/1Eg5nFKOGJycFiRuGo+pq9SJOZxup0cMTk4rFhceWLSWrfMZT9HTA4OKxJLPPLbwcFhucLNxOvg4FBWcIrJwcGh7HB1RuXmCkdMDg4rFs6Uc3BwKCs4U87BwaHs4IjJwcGhLOGIycHBoaxwdQrFzRWOmBwcViScKefg4FCWcMTk4OBQVnCKycHBoezgiMnBwaEsUb7ENO1kBEqprymlTiqluot898+UUloplfA+K6XUf1JK9SmlfqyUuu1KNNrBwWG+kFG5mbyuPmYyS8pTwJ7gSqXUtcAHgXes1T+HmX13C/AI8Efzb6KDg8PC46pN3zQnTEtMWusfAKeLfPUfMSUz7Rq+HwX+VBt0AHGlVNOCtNTBwWEBscSJqRiUUh8FjmutfxT46hqg3/o84K0rdoxHlFKdSqnOM2fSc2mGg4PDvDA5w9fVx6yd30qpKuBfY8y4OcOb/uUJ75jpD31InQOG53PMK4gE5dm2cm0XlG/byrVdcOXbdp2/eOZ78Fxihvtd9fs1l1G564FNwI+84uJJ4IdKqTuA48C11rZJb92U0FqvU0p1TjVFzGKiXNtWru2C8m1bubYLrm7btNaX+Y3LCbM25bTWXVrrBq11s9a6GWOu3aa1HgK+C/yaNzq3EzijtR5c2CY7ODgsd8wkXOCbwCvAjUqpAaXUZ6bY/G+Bt4E+4L8D/+eCtNLBwWFFYVpTTmv98Wm+b7aWNfCbc2zLE9Nvsmgo17aVa7ugfNtWru2C8m7bVYWa4Yy9Dg4ODlcNcwoXcHBwcLiScMTk4OBQdlh0YlJK7VFKvenl131hkdtyrVLqZaXUT5RSryulfsdb/2Wl1HGl1FHv9fOL1L6UUqrLa0Ont65OKfWSUqrXe6+9ym260bovR5VSZ5VSn1use1Yst7PUPbqauZ0l2vXvlVI93rmfUUrFvfXNSqkL1r17/Eq1q2yhtV60F1ABvAVsBiLAj4CbF7E9TZjQB4A1wE+Bm4EvA59fzHvltSkFJALr/l/gC97yF4DfX+TnOYQJ5FuUewbcC9wGdE93j4CfB14AFLATePUqt+uDQNhb/n2rXc32divxtdiK6Q6gT2v9ttZ6HHgak2+3KNBaD2qtf+gtjwJvUCKlpozwUeDr3vLXgQcXrym8H3hLa/2zxWqALp7bWeoeXbXczmLt0lp/X2ud8z52YAKSHVh8U27GuXVXG0qpZmA78Kq36lFPcn/taptLFjTwfaXUa0qpR7x167UfxDoErF+cpgGwD/im9bkc7hmUvkfl9Pv7DYx6E2xSSh1RSv1PpdQ9i9SmRcNiE1NZQikVA/4K+JzW+iymfMv1QDswCPx/i9S0XVrr2zDlZX5TKXWv/aU2dsCixH8opSLALwDf8laVyz0rwGLeo1JQSn0RyAF/7q0aBDZqrbcD/xT4H0qpmsVq32JgsYlpTrl1VxJKqUoMKf251vqvAbTWJ7TWl7TWk5iI9jsWo21a6+Pe+0ngGa8dJ8T88N5PLkbbMGT5Q631Ca+NZXHPPJS6R4v++1NKPQQ8AHzSI0201he11qe85dcwftgbrma7FhuLTUyHgS1KqU3eP+4+TL7dokCZrOQ/Bt7QWv8Ha73td/hF4LJqnlehbdVKqTWyjHGcdmPu16e9zT4NfOdqt83Dx7HMuHK4ZxZK3aNFze1USu3B1DT7Ba31eWv9OqVUhbe8GVN48e2r1a6ywGJ73zEjIz/F/Ct8cZHbsgsj838MHPVePw/8GdDlrf8u0LQIbduMGbX8EfC63CugHvg7oBfYD9QtQtuqgVPAWmvdotwzDDkOYmrCDgCfKXWPMKNx/8X77XUBO65yu/owPi75rT3ubfuPvWd8FPgh8JGr/UwX++VSUhwcHMoOi23KOTg4OFwGR0wODg5lB0dMDg4OZQdHTA4ODmUHR0wODg5lB0dMDg4OZQdHTA4ODmWH/x97pHg3z0n9LQAAAABJRU5ErkJggg==", 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", 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#NBVAL_SKIP\n", "\n", "# Mid-points:\n", "mid_x = int(0.5*(v[0].data.shape[1]-1))+1\n", "mid_y = int(0.5*(v[0].data.shape[2]-1))+1\n", "\n", "# Plot some selected results:\n", "\n", "plot_image(v[0].data[1, :, mid_y, :], cmap=\"seismic\")\n", "plot_image(v[0].data[1, mid_x, :, :], cmap=\"seismic\")\n", "\n", "plot_image(tau[2, 2].data[1, :, mid_y, :], cmap=\"seismic\")\n", "plot_image(tau[2, 2].data[1, mid_x, :, :], cmap=\"seismic\")" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "#NBVAL_IGNORE_OUTPUT\n", "\n", "assert np.isclose(norm(v[0]), 0.102959, atol=1e-4, rtol=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# References\n", "\n", "[1] Johan O. A. Roberston, *et.al.* (1994). \"Viscoelatic finite-difference modeling\" GEOPHYSICS, 59(9), 1444-1456.\n", "\n", "\n", "[2] https://janth.home.xs4all.nl/Software/fdelmodcManual.pdf" ] } ], "metadata": { "@webio": { "lastCommId": null, "lastKernelId": null }, "hide_input": false, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autoclose": false, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false } }, "nbformat": 4, "nbformat_minor": 4 }