{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from feos.si import *\n", "from feos.dft import *\n", "from feos.pcsaft import PcSaftParameters\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from concurrent.futures import ProcessPoolExecutor\n", "\n", "# the following is only needed if you processpool executor\n", "# does not start multiple processes\n", "#import psutil\n", "#p = psutil.Process()\n", "#p.cpu_affinity(list(range(psutil.cpu_count())))" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "params = PcSaftParameters.from_json([\"methanol\"], \"../../parameters/pcsaft/rehner2020.json\")\n", "func = HelmholtzEnergyFunctional.pcsaft(params)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Phase equilibria in pores" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 7.91 s, sys: 48.7 ms, total: 7.96 s\n", "Wall time: 7.93 s\n" ] } ], "source": [ "%%time\n", "potential = ExternalPotential.LJ93(3.0, 100.0, 0.08)\n", "pore = Pore1D(Geometry.Cartesian, 20*ANGSTROM, potential)\n", "solver = DFTSolver().newton()\n", "\n", "pmin = 0.2*BAR\n", "pmax = 2.5*BAR\n", "pressure_vec = SIArray1.linspace(pmin, pmax, 151)\n", "pressures = np.array([0.3, 0.6, 1.0, 1.2, 1.5, 2.0]) * BAR\n", "\n", "isotherm1 = Adsorption1D.adsorption_isotherm(func, 350*KELVIN, pressure_vec, pore, solver=solver)\n", "points1 = Adsorption1D.adsorption_isotherm(func, 350*KELVIN, pressures, pore, solver=solver)\n", "\n", "isotherm2 = Adsorption1D.desorption_isotherm(func, 350*KELVIN, pressure_vec, pore, solver=solver)\n", "points2 = Adsorption1D.desorption_isotherm(func, 350*KELVIN, pressures, pore, solver=solver)\n", "\n", "isotherm3 = Adsorption1D.equilibrium_isotherm(func, 350*KELVIN, pressure_vec, pore, solver=solver)\n", "points3 = Adsorption1D.equilibrium_isotherm(func, 350*KELVIN, pressures, pore, solver=solver)\n", "\n", "equilibrium = Adsorption1D.phase_equilibrium(func, 350*KELVIN, pmin, pmax, pore, solver=solver)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(isotherm1.pressure/BAR, isotherm1.total_adsorption/(MICRO*MOL/METER**2))\n", "plt.plot(isotherm2.pressure/BAR, isotherm2.total_adsorption/(MICRO*MOL/METER**2))\n", "plt.plot(isotherm3.pressure/BAR, isotherm3.total_adsorption/(MICRO*MOL/METER**2))\n", "plt.plot(equilibrium.pressure/BAR, equilibrium.total_adsorption/(MICRO*MOL/METER**2), 'xk')\n", "plt.gca().set_prop_cycle(None)\n", "plt.plot(points1.pressure/BAR, points1.total_adsorption/(MICRO*MOL/METER**2), 'x')\n", "plt.plot(points2.pressure/BAR, points2.total_adsorption/(MICRO*MOL/METER**2), 'x')\n", "plt.plot(points3.pressure/BAR, points3.total_adsorption/(MICRO*MOL/METER**2), 'x')\n", "plt.xlabel('p / bar')\n", "plt.ylabel('N / 1e-6 mol/m²')\n", "plt.legend(['adsorption path', 'desorption path', 'equilibrium path', 'phase equilibrium']);" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(1,2,figsize=(15,5))\n", "ax[0].plot(isotherm1.pressure/BAR, isotherm1.grand_potential/(MILLI*NEWTON/METER))\n", "ax[0].plot(isotherm2.pressure/BAR, isotherm2.grand_potential/(MILLI*NEWTON/METER))\n", "ax[0].plot(isotherm3.pressure/BAR, isotherm3.grand_potential/(MILLI*NEWTON/METER))\n", "ax[0].plot(equilibrium.pressure/BAR, equilibrium.grand_potential/(MILLI*NEWTON/METER), 'xk')\n", "ax[0].set_xlabel('p / bar')\n", "ax[0].set_ylabel('Ω / mN/m')\n", "ax[0].legend(['adsorption path', 'desorption path', 'equilibrium path', 'phase equilibrium']);\n", "\n", "ax[1].plot(StateVec([p.bulk for p in isotherm1.profiles]).density/(KILO*MOL/METER**3), isotherm1.grand_potential/(MILLI*NEWTON/METER))\n", "ax[1].plot(StateVec([p.bulk for p in isotherm2.profiles]).density/(KILO*MOL/METER**3), isotherm2.grand_potential/(MILLI*NEWTON/METER))\n", "ax[1].plot(StateVec([p.bulk for p in isotherm3.profiles]).density/(KILO*MOL/METER**3), isotherm3.grand_potential/(MILLI*NEWTON/METER))\n", "ax[1].plot(StateVec([p.bulk for p in equilibrium.profiles]).density/(KILO*MOL/METER**3), equilibrium.grand_potential/(MILLI*NEWTON/METER), 'xk')\n", "ax[1].set_xlim(0,0.1)\n", "ax[1].set_xlabel('ρ / kmol/m³')\n", "ax[1].set_ylabel('U / mN/m')\n", "ax[1].legend(['adsorption path', 'desorption path', 'equilibrium path', 'phase equilibrium']);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Enthalpy of adsorption" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(isotherm3.pressure/BAR, isotherm3.enthalpy_of_adsorption/(KILO*JOULE/MOL))\n", "\n", "vle = PhaseEquilibrium.pure(func, 350*KELVIN)\n", "#h_vap = (vle.vapor.molar_enthalpy() - vle.liquid.molar_enthalpy())/(KILO*JOULE/MOL)\n", "#plt.plot([pmin/BAR, pmax/BAR],[h_vap,h_vap])\n", "plt.xlabel('p / bar')\n", "plt.ylabel('Δh_ads,Δh_vap / kJ/mol')\n", "plt.legend(['Δh_ads', 'Δh_vap']);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Variation of pore width" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 15.6 ms, sys: 6.66 ms, total: 22.3 ms\n", "Wall time: 12.7 s\n" ] } ], "source": [ "%%time\n", "def plt_iso(L):\n", " isotherm = Adsorption1D.equilibrium_isotherm(func, 350*KELVIN, SIArray1.linspace(0.5*BAR, 1.6*BAR, 100), Pore1D(Geometry.Cartesian, L, potential), solver=DFTSolver().newton())\n", " return isotherm.pressure, isotherm.total_adsorption\n", "\n", "L_vec = SIArray1.linspace(10*ANGSTROM,40*ANGSTROM,7)\n", "with ProcessPoolExecutor(1) as ex:\n", " isotherms = [i for i in ex.map(plt_iso, L_vec)]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(figsize=(20,10))\n", "for p,a in isotherms:\n", " ax.plot(p/BAR, a/(MICRO*MOL/METER**2))\n", "plt.xlabel('p / bar')\n", "plt.ylabel('N / 1e-6 mol/m²')\n", "plt.legend([f'{w/ANGSTROM:g} A' for w in L_vec]);\n", "plt.xlim(1,1.6);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Variation of $\\varepsilon$-parameter" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 17.9 ms, sys: 38.4 ms, total: 56.3 ms\n", "Wall time: 1.98 s\n" ] } ], "source": [ "%%time\n", "def plt_iso(epsilon):\n", " potential = ExternalPotential.LJ93(3.0, epsilon, 0.08)\n", " isotherm = Adsorption1D.equilibrium_isotherm(func, 350*KELVIN, SIArray1.linspace(0.5*BAR, 1.6*BAR, 100), Pore1D(Geometry.Cartesian, 20*ANGSTROM, potential), solver=DFTSolver().newton())\n", " return isotherm.pressure, isotherm.total_adsorption\n", "\n", "eps_vec = np.linspace(70,150,9)\n", "with ProcessPoolExecutor() as ex:\n", " isotherms = [i for i in ex.map(plt_iso, eps_vec)]" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(figsize=(20,10))\n", "for p,a in isotherms:\n", " ax.plot(p/BAR, a/(MICRO*MOL/METER**2))\n", "plt.xlabel('p / bar')\n", "plt.ylabel('N / 1e-6 mol/m²')\n", "plt.legend([f'{e:g}' for e in eps_vec]);\n", "plt.xlim(1,1.6);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Variation of temperature" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 35.1 ms, sys: 59.9 ms, total: 95 ms\n", "Wall time: 11.7 s\n" ] } ], "source": [ "%%time\n", "def plt_iso(T):\n", " potential = ExternalPotential.LJ93(3.0, 150., 0.08)\n", " psat = PhaseEquilibrium.pure(func, T).liquid.pressure()\n", " pmin = psat / 100\n", " pmax = psat * 2\n", " isotherm = Adsorption1D.equilibrium_isotherm(func, T, SIArray1.linspace(pmin, pmax, 200), Pore1D(Geometry.Cartesian, 20*ANGSTROM, potential), solver=DFTSolver().newton())\n", " return isotherm.pressure, isotherm.total_adsorption\n", "\n", "T_vec = SIArray1.linspace(290*KELVIN,430*KELVIN,15)\n", "with ProcessPoolExecutor() as ex:\n", " isotherms = [i for i in ex.map(plt_iso, T_vec)]" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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FBYwfP55HHnmkwW2bWyjPdvcWjU8JubSB7UuAyw+5vhhYHJro7FddE+DVz7bx9KpCXt+wHdfAyNM7cf81Z3D5WUm0a6W2upAL1NS2061eWNte59ZAyii48mFImwyt2nsdYdSoDlTzWuFr5G3K452Sd3CNy9CuQ/nVmF+R0SeDDgkdvA5RREREREQk5BISElixYgWJiYn4/X7Gjh3LxIkTGTNmDEOGDOG5557jBz/4wWG3Wb9+Pbm5uaxbt46SkhLGjRvHhg0b8PkaLpIoKioiIyODOXPmhCXxBGE6252cmLLdVUz605vs2HeAHu1b8cNvncm1I1I4o2ui16G1DDs2wuoFtZVO+7ZC264w5kcw/EboNtDr6KLK5zs/59kNz/LSlpfYe2Av3dt0Z8aQGVx55pX07dDX6/AikltZyd5XV1BTVnrcbZt0xr6mnMahqWf+a9J2TYmpaffXtMfXTMegiftKTP8Wrc86q4k7FBEREZGWxnEcEhNrP/v7/X78fn/wpEODBg1q8DZ5eXlMmTKFhIQE+vbtS2pqKvn5+Zx33nlHbVtWVsa0adOYNWsWmZmZoXsgR1DyyULF5RXs2HeAX14xiO9c0Bef2upCr3ovrPt3bZVT4Xvg+KB/Bpx9I/SbAD5VmjWXvQf28vKWl3l247Os/2Y98THxXHr6pUxOncyoHqPwqYXxhBljqPr4Y8qffY49ixfj7t/vdUjSiNgunZV8EhEREYkQ9+ffz+c7P2/WfQ48bSB3jrrzmNsEAgFGjBjBpk2buPXWWxk9evQxty8uLmbMmDHB6ykpKRQXFze4bX3iKSsr68SDPwVKPlmsf/d2SjyFkjFQ/BF8+Hjt8HD/fujcD8b/DwydAu26ex1h1DDGsHrbap7d+CzLCpZRFaiiX6d+3DXqLiadMUltdSepZtcudj//b8qffZYDX36J07o17TMy6HjN1bRKSwOnCa8f4dyGxnuxQ3V/YX98TY1LRERERKQRPp+PNWvWUF5ezuTJk1m7di1DhgxpdPuGKv4b+7t03LhxLFiwgJtuuok2bcJ30jIln6Tlqd4LnzwFH/4dyj6FuLYwZDKcPQ16jWr6h1o5rm8qv+GFL1/g2Y3PUrCngLZxbbnyzCu5ut/VpHVO0wf1k2Bcl4r336f86afZ88py8PtpPXw4SbN+S7vLJuJLbOt1iCIiIiIiUeF4FUqh1rFjR9LT01myZMkxk08pKSkUFhYGrxcVFZGcnNzgtjk5OSxcuJCsrCzy8vKIjQ1PWkjJJ2k5StbUJpw+fQYO7IPuZ8EVc+CsbA0Pb0aucXmn5B2e2/gcr339GjWmhrO7nc2Ms2Yw4fQJtIkLX3Y9mvi3bautcnrmGfyFhcR06ECn66fQ8dpradW/v9fhiYiIiIhIM9i+fTtxcXF07NiRyspKli9fzp13HjsJlpmZydSpU7n99tspKSlh48aNjBo1qtHt586dy9SpU5kxYwZPPPFEWIoClHyS6HZgP6x9Flb9HUo+gtjWMORqGPEdSBmpKqdmtLNqJ89vfJ6nNzxN8b5iTmt1GjcMuoGr+13NGR3P8Dq8iGQCAfa//Ta7nnqKfa+thECANueeS9f/+i/aTRhPTEKC1yGKiIiIiEgzKi0tZfr06QQCAVzXJTs7m0mTJgHw/PPP85//+Z9s376dK664guHDh7N06VLS0tLIzs5m8ODBxMbGMm/evEbPdAe1LXnz589n0qRJ5OTk8MADD4T8cTlNOhtQhBg5cqRZtWqV12Gcsg+/2sk1f36Xf3x3FBf17+p1OJGpbG1tldMnT0H1Hug6CEZ+B4ZeB607eh1d1DDG8NG2j/jXF/9i+VfL8bt+zu1xLtkDsrm016XEaVD7SfGXllL+7HOUP/csNSWl+E47jQ6Tv03Ha68loa/OAng8xhjcQCPvbY0uPtHtG7vzxmM6ISd8vw2vOeG3+OY6Po0sj42PIb6VvvcSERERe3322WeNnlWupWjoGDiO86ExZuTJ7lN/AUr02bwS/nEV+BIg7du1VU69x6jKqRntO7CPFza/wFNfPMWm8k20i2tH9oBssvtnq8rpJBnXZf+bb7Lrn0+y7803wXVpe/75dM/Jod0ll+DEx3sdovUq9x7gs3dLWfdmCXu2V3odjjRg2KW9GJvVz+swRERERCTMlHyS6LNvW+3Pm5dD0lBvY4kyn33zGf/64l8s3rKYyppKBncezD3n38NlfS7TLKeTVLNrF7ufe55dubn4CwvxdelC5+99j45Z1xKfkuJ1eNYzxlC6aTdr3yjmy9XbcGsMSakdGDimB04jZws90Tz0CffAN7K50/iKRu73BO+2ueJsdDenfjw7pyQ2fWMRERERiRpKPkn0itdZv5qDP+Dnla9e4f8+/z8+2f4JrXytmNh3ItcNuI60LmlehxexKj9dy65//pM9ixdjqqtpPXIE3X56G+3GjVOVUxNUV/j54v0y1r5Rwq7S/cS3jmXIhT1Ju7AnpyXr/76IiIiIiE2UfBKRBu2o3MEzG57hqS+eYnvldk5vfzp3nnsnV555JR0SOngdXkRyq6vZs/hldj35JFWffILTpg0dJn+bTtdfT6sBA7wOLyJs+2oPa18vZuMHW6nxu3Tr055Lpg0kdWR34uIbH6ooIiIiIiLeUfJJRA6z7pt1/POzf/Lylpfxu34u6HkB9wy8hwt6XkCME+N1eBHpQFER5bm5lD/zLIHycuLPOIPuM2fS4dtX4WvXzuvwrBeocdn04TY+XVnE1i17iE3w0X9MD4Zc2JOuvXX8RERERERsp+STiOB3/bz61av832f/x5rta2gT24Zr+1/L9QOvp28HnV3tZBhjqHjvPXbO/wf7Xn8dYmJod8kldLphKm1Gjz7x+Twt0P7yata+Wcy6N0uo3HOAjt3bcOF1/Rg4Jon41nr7EhERERGJFPrrXaQF21m1k2c2PMO/Pv8X2yq30atdL+48906uSr2KdvGqKDkZbnU1e154gZ3z/0H1xo34Onem8w9/QKfrriOuRw+vw7OeMYayL3fzycoiNn+0HdcY+gzpzFnpKfQadFqjQ8RbKmMMZZs28E1x4aELD98Gc8SNjt5H4yuPte3RGxy+q+PFcYzbHrnvE9m2oTgPuX70TY9z26M2bzyuIyX1G0jvITrxhYiIiDRdVVUVF110EdXV1dTU1HDttddyzz33AHDHHXfwwgsvEB8fz5lnnsnf//53OnbsCMDs2bN57LHH8Pl8PPzww2RkZBy17/T0dB588EFGjhxJQUEB48eP55FHHmlw2+am5JNIC7WzaicTn51IRU0F5yefz93n383YnmPVWneSarZvZ9eTT7Ir918Edu4kYcAAkn73O9pfcTkxCQleh2e9mgMBNnywlU9XFrGjcB/xrWM565IUzvpWTzp01ZkUj1Tj9/PFO2+weskLbN28yetwpBHnXnWtkk8iIiJyQhISElixYgWJiYn4/X7Gjh3LxIkTGTNmDOPHj2f27NnExsZy5513Mnv2bO6//37Wr19Pbm4u69ato6SkhHHjxrFhwwZ8voZnohYVFZGRkcGcOXPCkngCJZ9EWqzy6nIqair41ZhfkT0g2+twIlbVZ5+x84n57F68GGpqSExP57Tp02kzepRa65pg364qPl1ZzPq3Sqja7+e05LZ8a+oABozuQVyCBogfae/OHXzyyst8vHwJlXt2c1rPXlw64xb6DDvnsOfbUc+9o56Khy841vbOkTd2jnPbI+/p0PUnsm1D93V4YMeJ48g4m7jfBvZ97Dgavx9HyXwRERE5QY7jkJiYCIDf78fv9wf/zpkwYUJwuzFjxvDMM88AkJeXx5QpU0hISKBv376kpqaSn5/Peeedd9T+y8rKmDZtGrNmzSIzMzMMj6iWkk8iLZza606cCQTYt3IlO5+YT8UHH+C0aUOn667jtBtvIL5PH6/Diwjbv97LmuVfs2nVNowx9B3elaHpKST376ik3RGMMZRs+JzVLy9iY/47uK7LGeecyzmXZdL7rGE6XiIiIiIhUva731H92efNus+EQQPp8YtfHHObQCDAiBEj2LRpE7feeiujR48+apvHH3+c6667DoDi4mLGjBkTXJeSkkJxcXGD+65PPGVlZZ3CozhxSj6JiDSRW1lJ+fPPs/OJ+fi//prY5CS65eTQ8dpr8LVv73V41jOuoWDtN3y8/GuKN5QT18rHWRenMPTiFNp3ae11eNYJ1Pj5/O03+OjlRWzb8iUJbdpy9mVXMjxjEh27a36YiIiISLTy+XysWbOG8vJyJk+ezNq1axkyZEhw/b333ktsbCw33HAD0PDMysa+oBw3bhwLFizgpptuok2b8I23UPJJROQ4anbtYtc//8muhf9HYNcuWg0bSrfbf0q7ceNwYvUyejz+AwG+eK+Mj18tpHxrBYmdEjj/mlQGj00mQWetO0rlvr188srLrF76Ivt37eS0nr0Yd/MtDLrwYuJbKUknIiIiEi7Hq1AKtY4dO5Kens6SJUuCyaf58+fz4osv8uqrrwYTTCkpKRQWHjwBTVFREcnJyQ3uMycnh4ULF5KVlUVeXh6xYfo8o7/6LXSck+eISJgcKCpm5xNPUP7ss5jKShLT0+l88wxajxihVqcm2L+7mrWvF7P29WKq9vvpdno7JsxI44xzuuLzaRbOkcrLSvlwcR5rV75CTXU1pw89m8t++BNOP2Kek4iIiIhEr+3btxMXF0fHjh2prKxk+fLl3HnnnQAsWbKE+++/n9dff/2wqqXMzEymTp3K7bffTklJCRs3bmTUqFGN3sfcuXOZOnUqM2bM4IknngjL35pKPomIHKFq/Xq+eexx9ixZAjExdJg0ic7f/Q4J/fp5HVpE2FW2n9WvfM0X75fhBgx9h3Zh+LjeJKV2UBKlAcVffMaHLz7Pxg/eJSbGx6Cx32LEFd+m6+l9vQ7Nc8YYqjeVU12w5+hvZhr6osY0sNI0sPkxtmt4vw0sbGhRE7dr6v4OC6/Z922OXnWC+4tLbkv7i3s3cCMRERE5WaWlpUyfPp1AIIDrumRnZzNp0iQAfvzjH1NdXc348eOB2qHjjz76KGlpaWRnZzN48GBiY2OZN29eo2e6g9qWvPnz5zNp0iRycnJ44IEHQv64lHyymD6jiYSXW1VF0U9+wv7X3yCmbVtOmz6d06b9B3E9NF+nKbZ9tYePlnzFl2u244uNYfAFyQy7pBcdu4evlzxSuIEAG/Pf5cOXnqd04xe0apvIqKuu5eyMSSSe1tnr8Dxn/C4Va7ax7+1i/GUVtQsbek90jrrQ5O0afI89hf3VXzz2fg/d8MS3a+hum7y/hgJr6KbH2O7IZTFqmxUREWl2Q4cOZfXq1Q2u27RpU6O3mzlzJjNnzjzmvleuXBm8HB8fz7Jly04qxpOhvxpEROr4i4vZ//obdMzOptvPf6Yh4k1gjKHo8118tPQrij7fRXzrWEZcdjpDL+5Fm/bxXodnHX9VFZ++towPX8pjz/atdOjeg0u+8wOGpI8nrlUrr8PznFvhZ9/7Zex7uxh3n5+4Hm3plNWfNsO64sSqVVNEREQkUin5JCJyhLZjRivxdByua9iyZjsfLf2KbV/tpU2HeM6/OpW0C5OJVzXEUSr37WXNkhf5aMkLVO3dQ/KAwaRPm8GZI0cTE9N4SXRLUVNexb63StifX4o54JLQvxPtLuxJQmpHtWqKiIiIRAF9QhARkSYL1Lh88X4Zq5d9TfnWCjp0bU36DQMYOCYJX5wqU460b9dOPnzp33z8ysv4qyo545xzGfXtbHoOGOR1aFY4ULqffW8UUfHxdsDQZlg3Ei/sSXxyotehiYiIiEgzUvJJRESOK+B3+ezdUj5a8hV7d1bRpVciGd8bwhlndyUmRpUpRyovK+WDRc+y7vXluAGXAedfyKirrtUQceqGiH+5m71vFFG9YRdOfAyJ5yeTODaZ2I5qPRQRERGJRko+iYhIo2r8AT57u5SPln7Fvl3VdO/bnm9NHUDvtNPUDtWA7V9tIT/vGb54501ifDGkpY/j3CuvoWOPJK9D85wJGCrX7mDvG0X4i/cRkxhH+4w+JI7uQUybOK/DExEREZEQUvJJRESOUnMgwLo3S/ho2VdU7D5A0pkduOQ/BpEyqJOSTg0o2fA57z//LzZ/9AFxCa0YMenbjLj8Kp25DjA1LhWrt7F3ZSE131QR26U1na7uR5uzu+G0wFZNYwxbtmxh586dGGMOW37kdse73Nzb2RCD17GeddZZ9O/fHxEREWleSj6JiEiQvzrAujeL+WjZ11TuOUByv46M/24aPftr8HNDSjZ8zrvPPknBmg9pldiO87NuYPhlk2id2M7r0Dxn/C77V5Wx9/UiAuXVxPVMpPONg2g1uDNOC2zVdF2X9evX89Zbb1FWVuZ1OKfk0NeCxi57td2p7rtvX7XGioiIt6qqqrjooouorq6mpqaGa6+9lnvuuQeAX/3qV+Tl5RETE0O3bt144oknSE5OBmD27Nk89thj+Hw+Hn74YTIyMo7ad3p6Og8++CAjR46koKCA8ePH88gjjzS4bXNT8klERIIWPbSass17SBnYiZE3p9GzfyevQ7LSoUmn1u3ac+HUmxiecQXxrVp7HZrn3OoA+98vZe+bRbh7/cSf3p5Ok1NJ6N8yq+ZqampYs2YNb7/9Nrt27aJz585cddVVnHnmmWFJppzqdi3xdyYiIuKlhIQEVqxYQWJiIn6/n7FjxzJx4kTGjBnDHXfcwW9/+1sAHn74Yf7nf/6HRx99lPXr15Obm8u6desoKSlh3LhxbNiwAZ+v4bMqFxUVkZGRwZw5c8KSeAIln0RE5BD7dlXT79zuTJiR5nUoVlLSqXFuVQ373ilh31vFuBU1JKR2pN2UXiSc0aFFJjCqq6tZtWoV7777Lvv27SMpKYns7GwGDhxITEzLazcUERGRpnEch8TE2jP/+v1+/H5/8G+p9u3bB7fbv39/cHleXh5TpkwhISGBvn37kpqaSn5+Puedd95R+y8rK2PatGnMmjWLzMzMMDyiWko+iYjIYXwtcA7P8Sjp1Di3ws/et4rZ904JpipAq4Gn0e7iXiSc3v74N45ClZWVvP/++7z33ntUVVXRt29fJk+ezBlnnNEik3AiIiKR7M2nNrCjcF+z7rNLr0QuzD72fMFAIMCIESPYtGkTt956K6NHjw6umzlzJv/4xz/o0KEDr732GgDFxcWMGTMmuE1KSgrFxcUN7rs+8ZSVldUMj6bplHwSERFpxNbNm3jrXwuUdGqAW1lTm3R6qxhTHaD1kM60u7g38T0TvQ7NExUVFbz33nu8//77VFdXM2DAAC688EJSUlK8Dk1EREQijM/nY82aNZSXlzN58mTWrl3LkCFDALj33nu59957mT17No888gj33HPPUSfYgMZb58eNG8eCBQu46aabaNOmTUgfx6GUfBIRETnCN8WFvPOvhWx4/21aKel0GLeqhn1vl7D3zWJMVQ2th3Sm/bjTievR1uvQPLF//37effdd8vPzOXDgAIMGDeKiiy4iKSnJ69BERETkFB2vQinUOnbsSHp6OkuWLAkmn+pNnTqVK664gnvuuYeUlBQKCwuD64qKioKDyI+Uk5PDwoULycrKIi8vj9jY8KSFlHwSERGps2fHNt595knWrXyV2IQExlxzPSMnTSYhjN8K2co9EKid6fRGEW5FDa0GnUb78acTn9wyK5327dsXTDr5/X7S0tK46KKL6N69u9ehhU0gUIUx/rpvW+u/ca29fHCZqV1zxDYGc9iyQ7cPbnPEsqOuH7mPw66fzDZHrzf18RxjH4dv09DjO3SbQ9Yfss2hMTR1H0duE1wP9Ey+DsdpeMisiIjYbfv27cTFxdGxY0cqKytZvnw5d955JwAbN26kX79+ACxatIiBAwcCkJmZydSpU7n99tspKSlh48aNjBo1qtH7mDt3LlOnTmXGjBk88cQTYRkNoOSTiIi0eBW7y3n/+af4+JXFAJw98UpGT86mTfsOHkfmPeMPsO+9UvauLMLd76fVgE60H3c68b3aeR2aJ/bu3cs777zDqlWrqKmpYciQIVx44YV069bN69DCZt/+jRQU/D+2bn0RcL0ORxqQnHStkk8iIhGqtLSU6dOnEwgEcF2X7OxsJk2aBMBdd93FF198QUxMDKeffjqPPvooAGlpaWRnZzN48GBiY2OZN29eo2e6g9qWvPnz5zNp0iRycnJ44IEHQv64lHwSEZEWq7qiglUvPseHL+VRU11NWvo4zrt2Cu27tJxEQmNMwGX/B1vZ8+rXuHsPkJDakfbjT2+xg8QrKip46623yM/PJxAIMHToUC688EK6dOnidWhhs2/fF2wpeIRt217G52tNr5RptGqVDDhwyDemDs4hy5wjrh+9TfAyTu2PQ9cftQ3B/TR+P/XrOOY+Gt+Ghq8fuezIfR5zHye2zcFvoJ1Drh9jmyOOo+PEISIikWno0KGsXr26wXXPPvtso7ebOXMmM2fOPOa+V65cGbwcHx/PsmXLTirGk6Hkk4iItFgv/vE+Cj7+iP5jxnLBdTdyWrKGQxtjqPx0B3uWfUXNjkriT29Ph+sHkHBGR69D80RVVRXvvvsu7777LgcOHGDo0KF861vfonPnzl6HFjZ7937GloJH2L59CT5fIn1O/yG9en2X+PjTvA5NREREIoSSTxY6ek69iIiEQuXevfQZPoIrf3qX16FYoerLcna/vAV/0T5iu7eh87TBtBp0WljmANjmwIED5Ofn8/bbb1NZWcmgQYO4+OKLW1Z73b4NbN7y0MGkU58f07vXd4iL6+h1aCIiIhJhlHwSEZEWrSUmVo50oGQfu5cUUL1hF74O8XS6tj9tzumGE9Pyjk1NTQ0ffvghb775Jvv27SM1NZVLLrmk0TPGRKOKii1s2fInyrYuwudrS98+/0mvXt8lLq5ltlyKiIjIqVPyyWIH5wGIiIg0v5qdVex55Ssq1mzDaRVLh8v7knheEk5cyxtU7Loun3zyCa+99hq7d+/m9NNPJysri9NPP93r0MKmsrKYgoJHKC17FseJ4/Te3+f0079HXFwnr0MTERGRCKfkk4iISAvjVvjZs6KQfe+WgOPQ7lsptPtWL2Jat8w/CzZt2sQrr7zC1q1bSUpK4sorr+TMM89sMVVx1dVbKSj4M8UluYBDSs//4PTTf0hCQlevQxMREZEo0TL/yhQREWmBTMBl/3ultWewq6yhzYjutB9/OrEdErwOzROlpaW88sorbN68mY4dO3LNNdeQlpZGTEyM16GFxYED3/DVV/9LUfFCjAmQnJRFnz631J3BLnqt3VvBW7v24QKuMcFZm+aQ6wYwBlxM8HKD2xxxnSNuc+Q2jd2Poe52TbgfGrhNY9s0FgsN7PfIWGhgvw3uo4FYDrtswGDqjnft5drYDu7XpfZkBxed1o75Z51xwr9TERGxn5JPIiIiUc4YQ9UXu9j90mZqtleSkNqRDlecQXxSW69D80R5eTkrVqzgk08+oXXr1mRkZHDuuecSG9sy/iwKBCr4+uvH+errvxIIVJDUYzJ9+/6Y1q17ex1aSH2+v5IHtpTx0vbdJ3V7p+5fjFM7GsEBHAdi6tY6Tt36uuXBbY68Xncb55DbHLVNA/fjHHGbZrufGOfY93PosmPGcngcMTjB29ZfBohxHGIO2W/MIftJbdPqpH43IiLRpKqqiosuuojq6mpqamq49tprueeeew7b5sEHH+SOO+5g+/btdOnSBYDZs2fz2GOP4fP5ePjhh8nIyDhq3+np6Tz44IOMHDmSgoICxo8fzyOPPNLgts2tZfyVJSIi0kL5y/ZT/tJmqjeWE9uldYs+g11lZSVvvvkm77//PgAXXHABY8eOpXXr1h5HFh6uW0Np6dNs3vIwBw5so2vXCZx5xs9p2/ZMr0MLqa8qq/n9ljKe27qLtr4Ybu/Tne/07ELrmJjjJnzqkyoiIiLhkpCQwIoVK0hMTMTv9zN27FgmTpzImDFjACgsLOSVV16hd++DXxqtX7+e3Nxc1q1bR0lJCePGjWPDhg34fA3P8SwqKiIjI4M5c+aEJfEESj6JiIhErf0flLHruY04CbF0mHQGiWOScGJbRkvZoQKBAB988AErV66kqqqKYcOGcfHFF9OxY0evQwsLYww7drzCpi8fpKLiSzp0GMFZZz1Cxw4jvA4tpLZV+5n71VYWlnxDrAO39u7GLb27cVqc/vwVERF7OY5DYmIiAH6/H7/ff9gXIT/96U/5/e9/z1VXXRVclpeXx5QpU0hISKBv376kpqaSn5/Peeedd9T+y8rKmDZtGrNmzSIzMzP0D6iO3n1FRESiVOX6b/B1SKDbf56Nr22c1+F4YtOmTSxZsoQdO3bQt29fJkyYQFJSktdhhU357g/ZtOk+du/+iDZtzmToWY/Spcu4qK7m2VMT4P99vY3/LdzOAeNyQ1Jnbu/Tgx4JLfP/gIiInLzXnvgL277a3Kz77Hb6GVx80/ePuU0gEGDEiBFs2rSJW2+9ldGjRwOwaNEievbsybBhww7bvri4OFgZBZCSkkJxcXGD+65PPGVlZZ3iIzkxSj6JiIhEsZjWsS0y8fTNN9+wdOlSNmzYQKdOnZgyZQoDBgyI6qTLoSoqCtj05f1s376M+PiuDBwwi6SkLGJiovdPv8qAyxPFO3j4q63sqgnw7W4dyembxBltWuZAfRERiVw+n481a9ZQXl7O5MmTWbt2LWeccQb33nsvy5YtO2p7U3/GikM09jfPuHHjWLBgATfddBNt2rRp9tgbE71/gYiIiEiLU1VVxRtvvMF7771HbGws48aNY8yYMS1mmHhNzV62FMyjsPAJYmLiOaPvbfTuPQOfL3x/XIZbjWt4qmwnDxaUUVLt5+LT2vGLM5I4q130PmYREQmP41UohVrHjh1JT09nyZIlZGRksGXLlmDVU1FREeeccw75+fmkpKRQWFgYvF1RURHJyQ2fvTYnJ4eFCxeSlZVFXl5e2P5Gahl/iYmIiEhUc12Xjz/+mOXLl7N//36GDx/OpZdeSrt27bwOLSyMCVBS+gxffjkHv38nSUnXcOYZPyMhoZvXoYWMMYZXd+7lnk3FbKyo5pz2bfjToN5c0Kll/M5bGmMMrgHXGMwhPw1HLHcN7iHbBi8fsjzgmuD+AsHlh9zGbfhywNTdzoWAMXRoHceYMzp7fWhEJMps376duLg4OnbsSGVlJcuXL+fOO+/krLPOYtu2bcHt+vTpw6pVq+jSpQuZmZlMnTqV22+/nZKSEjZu3MioUaMavY+5c+cydepUZsyYwRNPPBGWynAln0RERCSilZaW8tJLL1FUVESvXr2YOnUqPXv29DqssNm1K5+NG2exd986OnQYQf9+f6N9+6FehxVS6/dVcs+mEl7ftZczWifw+JA+TOzSIeraKo0xvLlxBys+30aN69YlXWqXm2Bype46R1w/IlHjGuDIRM2hCRy37joHEz1H/TxkOxq7v/rlLodsYw6PnYOJndr7O3y7I/fVQDeJFUae3olnfnS+12GISJQpLS1l+vTpBAIBXNclOzubSZMmHfM2aWlpZGdnM3jwYGJjY5k3b16jZ7qD2pa8+fPnM2nSJHJycnjggQea+2EcJWTJJ8dxHgcmAduMMUPqlv0LGFC3SUeg3BgzvIHbFgB7gQBQY4wZGao4RUREJDJVVVXx2muvkZ+fT5s2bfj2t7/NsGHDoi4B0ZjKyiI2fXk/27YtJiEhibS0P9K926Sofvzbqv3cv6WUJ0t30j7Wx6x+PZmW3Jn4mOg7i+Pa4t3Mfvkz3t70DW3ifbSO8+E4Do4DMQ7EOA4OtR8gYmLAwQkup+5njFO73Km/fsh2B/d1+HY+x8GJcWr3X7fdUffncMhtj7y/um2PjPWQfTUawyHX6/cTU3unh8UQE1O3v0Mec/3T3hfj4Itxgvflcw4+Fl/M0ZdjDnkcvpiD93/k5fr4Dt1fYoK+xxeR5jd06FBWr1593O0KCgoOuz5z5kxmzpx5zNusXLkyeDk+Pr7B+VGhEspXzCeAR4B/1C8wxlxXf9lxnDnA7mPc/mJjzI6QRSciIiIRyRjDp59+yrJly9i3bx/nnnsul1xyCa1bt/Y6tLAIBCop+OrPfP31XwEfffvexum9b8bni97HXxlw+d/Cbfzp621Uuy7fS+nKbX260yku+j78F+6s4MFlX5C3poRObeK4+8rB3DD6dOJjoy/BJiIiLUfI3rGNMW84jtOnoXVO7Vdy2cAlobp/ERERiT7bt2/npZdeoqCggOTkZK6//voW1WK3fcerbNhwD1VVxfTofhVnnnkHrVoleR1WyBhjeH5bOfd+WUJxtZ/Lu3Tgl2cmR+UZ7HbtP8Ajr21iwbtf4Thw68Vn8oNvnUn7Vi3vbJUiIhJ9vPq66EJgqzFmYyPrDbDMcRwD/K8x5i+N7chxnO8D3wfo3bt3swcqIiIidqisrOQvf/kLPp+PK664ghEjRhAThe1WDamsLGLDxv9hx45Xadu2H+ec/SSdOjU+SDQarNtXyS82FPH+7v0MTWzNnwadzvmdEr0Oq9lV+QP8/e0C/t/KTeyvruHaESn8dHx/kjpEbyWbiIi0PF4ln64HnjzG+guMMSWO43QDXnEc53NjzBsNbViXmPoLwMiRIy0dRygiIiKnqqKiAr/fzxVXXMHw4cO9DicsXLear79+jC0F83CcGFJT76JXyk3ExERvNcxufw33bynjieIddIzzMWdAL65POq12tlAUMcawZG0Zv3v5Mwp3VnLxgK7cNXEQA3robH0iIhJ9wp58chwnFrgaGNHYNsaYkrqf2xzHeR4YBTSYfBIREZGWpaVUO+3c+TZfbLibiootdOs6kX79ZkZ1i51rDLllO7n3y1J2+WuY3rMLOX17ROVcp3Ulu/mfF9bz/pad9O+eyIIZo7iwX1evwxIREQkZL97NxwGfG2OKGlrpOE5bIMYYs7fu8gTgf8IZoNdsPZ2siIiIhN6BA9+wceO9lG3No3Xr3gwf9jidO3/L67BCas2eCn6xsYiP9lQwqkNbftfvDIa0a+N1WM1ux75q5iz7gtwPCunYOo7fXpXG9aN6E+trGQnVqGYMGBfcAJhA7U+3ppFlAXDdJi4LHNzHcZfV7ePIZf0mQI+zvD5CItLChSz55DjOk0A60MVxnCLgbmPMY8AUjmi5cxwnGfibMeZyoDvwfN1pgmOBfxpjloQqThEREREbGGPYunURGzbOoqZmL337/Cenn/4jfL7oG65db6e/htmbS1lY8g1d4mP506DeXNu9E06UtdhV1wSY/04Bf3p1E5X+AN85vy8/ubQfHdpESfukMbBhKezcXJsUMXXJkfp/7iGXj7nuiPXHWncq+w1VTLZq21XJJ5EIUlVVxUUXXUR1dTU1NTVce+213HPPPQD85je/4a9//Stdu9ZWy/7ud7/j8ssvB2D27Nk89thj+Hw+Hn74YTIyMo7ad3p6Og8++CAjR46koKCA8ePH88gjjzS4bXML5dnurm9k+U0NLCsBLq+7vBkYFqq4IkmU/d0lIiIijaiqKuHzL37JN9+8Tvv2wxk0cDaJif29DitkjDE8s3UXd28qZndNgO+ndOVnfXvQPtbndWjN7vUN2/nNonVs2bGfSwZ24xeXDyK1WxQNTi/8AJb+Aorym7CxA07MwX8xvsOvN7rOAcd34utifODEneR9nsw6H8TU/4ytW+47uL5Jy+p+NucyX5QkOUVaiISEBFasWEFiYiJ+v5+xY8cyceJExowZA8BPf/pTfv7znx92m/Xr15Obm8u6desoKSlh3LhxbNiwAZ+v4ffVoqIiMjIymDNnTlgST+DdwHERERGRFs8Yl6LihXz55YMY49Kv3y/plTINx4m+JEy9LRXV5Gwo5M1d+xjZvg0PDOjFoMToO7NbSXklv31xPS+vLaNvl7Y88Z1zSR/Qzeuwms/uInjlblj7DCR2h8xHYNCkwxNBDSWKRETkmBzHITGx9ksKv9+P3+8/bkVwXl4eU6ZMISEhgb59+5Kamkp+fj7nnXfeUduWlZUxbdo0Zs2aRWZmZkgeQ0OUfBIRERHxwP79m/js8/9m9+6POO20Cxk4YBatW6d4HVbI+F3Dnwu38YeCMuIch/v6pzAtuXPUncXOH3B5/K0tPPTqRgKu4ecT+vO9i84gIVqquvyV8M4j8NYfalvNLsqBC34CCVFUzSUiUqf8hS85ULK/WfcZn9yWjleeecxtAoEAI0aMYNOmTdx6662MHj06uO6RRx7hH//4ByNHjmTOnDl06tSJ4uLiYGUUQEpKCsXFxQ3uuz7xlJWV1TwPqIk03VBEREQkzHbtep/3869k//7NDB70IMOH/T2qE0+rdu9n/Kov+N3mUi7t3J43Rw/ipp5doi7x9P7mb7ji4TeZ/fLnnH9mZ5bf/i1+fEm/6Eg8GQPrF8G8UfDaLOg3Hn78AVwyU4knEZFm5vP5WLNmDUVFReTn57N27VoAfvSjH/Hll1+yZs0akpKS+NnPfgbUtrMfqbFqqXHjxrFgwQIqKipC9wAaoMonERERkTArL8/HmAOMGf06CQlR1Ip1hH01Ae7dXMoTxTtISohj/ll9yejSweuwmt32vdXMXvwZz60upmfH1vx12kjGD+7udVjNZ+t6WHInbHkDuqXB9Beg70VeRyUiEnLHq1AK+f137Eh6ejpLlixhyJAhdO9+8L3le9/7HpMmTQJqK50KCwuD64qKikhOTm5wnzk5OSxcuJCsrCzy8vKIjQ1PWkiVTyIiIiJhVv/9ZHx8Z0/jCKW3du3l4g++4IniHcxI6cIbowZGXeLJdQ3/fP9rLpmzkhc+KeHHF6ey/PZvRU/iqXIXLM6BR8dC6Sdw+YPwgzeUeBIRCaHt27dTXl4OQGVlJcuXL2fgwIEAlJaWBrd7/vnnGTJkCACZmZnk5uZSXV3Nli1b2LhxI6NGjWr0PubOnUv79u2ZMWNGg1VToaDKJxEREZGwq/9DL7razgD21wT4bV210xmtE8g7O5VRHaOvLWvz9n3893Of8v6WnZx3RmdmTR7CmV2j5HEaA588BctmQsU3MPK7cPFMaHOa15FJGBhjqDE1BNwAAROgxq2hxq0hYAIE3LrrdeuP+nnourrbHHW9bn81bg1d23RlYt+JXj9kEauUlpYyffp0AoEAruuSnZ0drHDKyclhzZo1OI5Dnz59+N///V8A0tLSyM7OZvDgwcTGxjJv3rxGz3QHtS158+fPZ9KkSeTk5PDAAw+E/HEp+SQiIiISbiY6k09v79rLTz8vpLDqAD9I6cqdZyTRxhddhfb+gMtf39zMH5dvJCE2hvuvOYvskb2OeyaiiLFjI7x0e22LXc+RcONzkDTU66hOmTGGgAngGvfwn+7h1xta1uBPt/ZnjanBNe5hy455W/eI2xyxv4ZuU58EOuo2h+zvsERRI4mjBn/WJY7qL9cfg3AZ3nW4kk8iRxg6dCirV69ucN2CBQsavd3MmTOZOXPmMfe9cuXK4OX4+HiWLVt2UjGeDCWfRERERMLM4AKNDwONNPsDAe79spTHi3fQp3U8z5+dypgorHb6tGg3dz77CetL9zBxSA/uyUyjW/tWXofVPPxVtWewe2suxLaGK/4AI74DMZGdPCzeV8yDHzzIq1+/iiE8rSWnyuf4iHFi8Dk+fDEHLzf4M8aHz/ERGxN71M94XzxtYtsEl/lifMQ6sbXXD7ldg+sbWhcTS6wTG9zusJ+N3cY5/HpcTNxh+4uPiff6cItImCj5JCIiIhJ2hmipenqvfB8/+exrvqo6wM0pXfjvM5Joe4xS/0hU5Q8w95UN/O2tLXRuG8+jN47gsiE9vA6r+Wx6FRb/HHZuhrOyIeNeSIzsQfhVNVU8vvZxHl/7ODFODDcMuoEOCR2althpYsLnqHUxx7jNCdyfiEg0UvJJREREJNxM5CefDrguD2wp45Gvt9G7VTzPDU/l/E7RV+20+utd/Ozpj9m8fT/Xj+rFXRMH0aF1nNdhNY+9W2Hpf8PaZ+G0M2FaHpyR7nVUp8QYw4qvV/D7D35Pyf4SJvaZyO0jb6dH2yhKFoqIRCAln0RERETCzGAiuuVuU0UVt6z/ik/2VjI16TR+m9qTtrHRVe10oMbl4Vc38v9WbqJH+1YsnDGasf26eB1W8zAG1vyzNvHkr4L0X8AFP4G4yG4hLN5XzO/e/x1vFL1Bv079eHzs45zb41yvwxIREZR8EhEREfGAASKvvcYYw8LSb/j1xhJaxTg8NqQPV3Tt6HVYze6z0j3c/tTHfFa6h6wRKfzqysG0bxUl1U7lhfDCT+DLV6H3eZD5J+jSz+uoTonf9fOPdf/g0Y8fxXEc7hh5B1MHTSU2Rh91RERsoVdkERERkXCLwLa7cn8Nt33+NUt27OGiTok8POh0eiRESUKmTk3A5S9vbmbuKxvo0Dqev04byfjB3b0Oq3m4Lnz4OLxyd+3zb+IDcO7NET9Q/KOtH/Hb937LpvJNXNr7Uu4adZda7ERELBTZ7zYiIiIiEckQaV13fy/ewZIde7gnNZncYWdGXeJp8/Z9ZP3vu/x+yReMH9ydZT+9KHoST998CfOvhJd+Bikj4ZZ3YfT3IzrxVF5Vzt3v3M30JdPZ79/Pny75E3+8+I9KPEmDjDEYvx93/34C5eX4t23jQFEx1Vu2UPXFBirXrqPio9Xsf+999r35Fsbv9zpkacGqqqoYNWoUw4YNIy0tjbvvvvuw9X/6058YMGAAaWlp5OTkBJfPnj2b1NRUBgwYwNKlSxvcd3p6OqtWrQKgoKCAfv36Nbptc1Plk4iIiEiYGVwi7TvAioBLvOPwg16RfRa0IxljeGpVIb9ZtJ742BgemjKczGHJET2TK8h1If8vsPw34IuHzEfg7BuJuMznIYwxvLj5RR744AH2HNjDd9K+ww+H/ZA2cW28Dq1FMMZAIIAJBDD+Goz/QG2ipqYG4/dj6n/666/7j72+oW38R2x75PoDh6479OcBOPK2Bw4E76e24rRp+r37DrGdOoXwSIo0LiEhgRUrVpCYmIjf72fs2LFMnDiRMWPG8Nprr5GXl8cnn3xCQkIC27ZtA2D9+vXk5uaybt06SkpKGDduHBs2bMDXyNlni4qKyMjIYM6cOWRkZITlcSn5JCIiIhJuEdh2F412V/r5xXOf8tKnpZx/Zmf+kD2cHh0ie+h20O5i+PePYMvr0C8DrnwI2id5HdUpKd1Xyj3v3cPbxW8zrOswfn3er+nfqb/XYZ0UYwyVq9fg7t1Tm8ipqalN6tQEMIG6y/6ag5cPXV4TwNT4D19eU5cQCtTUJmACDSyvqb2fBpcH6vbZwHJqaupuF4BAIOTHxomLg7g4nLg4nNjYBn8SV3c9IZ6Ytm2P3iY+DmJjiYmPr10WH1/7Ly4OJy4eJ/7In4dsFxeHr23bkD9OkcY4jkNiYu3ZY/1+P36/P/iFyJ///GfuuusuEhISAOjWrfYLoby8PKZMmUJCQgJ9+/YlNTWV/Px8zjvvvKP2X1ZWxrRp05g1axaZmZlhelRKPlnJnEBWXkRERCJTVFTWRLBVBTv5Se4atu6pIueyAfzgojPxxUTB78QY+PQZWPwzCNTUJp3OmR7R1U6ucXlmwzP84cM/4BqXu0bdxfUDryfGiazqwXrVmzZR9pt7qKhrfTkpMTE4sbEQG4vj8+H4fIdfjovF8cUevTw2ti45kwCxvtptYn1Qt23tPhtaXr+fuuUxvsMSPcGkUH0CKC4OJ7buZ9wRiaPY2NqEzxHLnbg48Pn02ihWefnllykrK2vWffbo0YOJEycec5tAIMCIESPYtGkTt956K6NHjwZgw4YNvPnmm8ycOZNWrVrx4IMPcu6551JcXMyYMWOCt09JSaG4uLjBfdcnnrKysprvQTWBkk8iIiIiYVbbdqcPWF6oCbg88tomHn51Iymd2vDMj85neK+OXofVPCp2wku3w7rnIWUUXP2/cNoZXkd1Sgr3FHL3u3fzQdkHjE4azW/O+w0p7VK8DuukuNXV7Hj0Ub7522P42rShx92/ptXgwQcTQj5fbfIleDm2NkFTfznWd3CbCJ7XJSLH5/P5WLNmDeXl5UyePJm1a9cyZMgQampq2LVrF++99x4ffPAB2dnZbN68ucEClsYSuePGjWPBggXcdNNNtGkTvpZlJZ8spj9JRUREopTa7jyxbU8V//nkat7fspPJZ/fkf65Ko12rKBmcvmk55P0Y9m+HS34FF9wGvsj9Uz/gBvjn5//k4Y8eJjYmlt+c9xuu7nd1xFbF7H8/n7K77+ZAQQEdrsqk2513EnvaaV6HJSLHcbwKpVDr2LEj6enpLFmyhCFDhpCSksLVV9e+Fo4aNYqYmBh27NhBSkoKhYWFwdsVFRWRnJzc4D5zcnJYuHAhWVlZ5OXlERsbnvcKpcxFREREwsxgIvZDdKR658sdXP7wW3xStJs5WcOYe93w6Eg8+avg5Tth4TWQ0B5ufhUu+nlEJ56K9hbx3aXf5fcf/J7RSaN5/qrnuab/NRH5fyZQXk7JzJl8PX06JhCg9+OPkXz//Uo8iUijtm/fTnl5OQCVlZUsX76cgQMHAvDtb3+bFStWALUteAcOHKBLly5kZmaSm5tLdXU1W7ZsYePGjYwaNarR+5g7dy7t27dnxowZYRv7E7nvSiIiIiIRS5VP4eK6hj+//iVzln1B3y5t+ef3RtO/ezuvw2oeOzbBMzdB2acw+ocw7jcQ19rrqE6aMYZ/b/o39+Xfh+M4zLpgFplnZkZk0skYw56XFrN19mwC5eV0/t736HLLj4hpHbm/HxEJj9LSUqZPn04gEMB1XbKzs5k0aRIA3/3ud/nud7/LkCFDiI+PZ/78+TiOQ1paGtnZ2QwePJjY2FjmzZvX6JnuoLYlb/78+UyaNImcnBweeOCBkD8uJZ9EREREwk1td2Gxa/8Bbn9qDa99sZ0rhyVz39Vn0TYhSv78XfMkvPQziI2H63NhgLetIafqm8pvuOfde3it8DXO7XEusy6YRXJiwy0jtvOXlFD6m9+w/403aTV0KL0f+xut6qoWRESOZ+jQoaxevbrBdfHx8SxcuLDBdTNnzmTmzJnH3PfKlSsP29eyZctOOs4TFSXvviIiIiKRo7btTtMPQmlt8W5+sOBDtu2t4rdXpXHjmNMjsoLmKNX7apNOn+TC6RfA1X+FDj29juqUvPb1a/zm3d+w98Befj7y5/zH4P+IyDPZGWMof+YZtt13P8YYus+cSaep19cOCZeI5wZcAjWGQI1b+89f+7PmgEuN3yXgD9T9rL1ecyBwxHqXmkO3OVB/+8DB2xy5nwMu507qw4jL+nj98EVOmZJPIiIiImGnyqdQ++2L66mucXnmh+czLFrOZle2Fp6eDjs3Q/p/w0V3QEzkJjYq/BXc/8H9PLfxOQZ0GsDfJvyNfp36eR3WSfGXlVH6y1+x/623aDN6NEn3ziI+JTLPyuc1YwzGNbgBQyBgcAMu7qFJn8Mu1yZp3BpDTU2AgP/wdW7d9jX+Q5b5D99Pjb9+u0OW+92jkkynOhYnxucQGxeDL95HbGwMsfEx+OJiapfF+WjTOrZufQyxsQe3696nffMcWBGPKfkkIiIiEm7G9TqCqFdxIMDQlA7Rk3j6OBdeuA1adYDpL0CfsV5HdEq+2PkFP3/953y15ytmDJnBrcNvJc4XeQPgjTHsfu45ts6+DxMI0P1Xv6TT9dfjxERW5db+3dXsKqs4mOgJuLgBU5uUCdQmguorf9y6dYGa+m3q1jW4zcHLjd3+sART3Tqac/6xA77Y2iRPTGwMvlgHX2zM4f/iYohrFVu7Lu6IdQ0tizu4PDbOV5dAqr1cn1A6mFyqXRYToy8cpGVT8klEREQkzNR2F3quMUTFZ72aalhyF6x6HPpcCNc+DondvI7qpBljeHrD09yffz/tE9rz1wl/ZXTSaK/DOin+rVsp/dWv2P/Gm7QZOZKk391LfO/eXod1QtyAy8crishftJka/4klxZ0Yhxifg8/nEOOLISa2/noMMT6nNtFTt84X6xCX4COhbW0Sxhd7cJvgbWIP2ZfvkG3q91e3LPbQRFBc3f3U/Tt0XUxdcigmxomOlluRCKfkk4iIiEjYqe0u1GpbZCL8GJcX1rbZFX8IF/wELvk1+CL3z/c9B/bwm3d+wytfvcIFyRdw79h76dy6s9dhnZQ9S5dR+utfY6qr6f6LX9DpxhsirtppR9FeXlvwOdu+2kufoV0YdkkKsfG+wxI+vthDLh+SYIrxqZJHRE5M5L57iYiIiEQqne0u5AwQ0cUOX66AZ2ZAwA/XLYRBV3od0Sn5ZPsn5LyRw9b9W/npiJ9yU9pNETlU3N2/n7Lf/Y7dzz5Hq7Q0kh98gIS+fb0O64QEalw+fLmAD1/+ioTEODK+N4Qzz+mq6iARCanIe8UXERERiXAGg6PkU0iZSG27Mwbe+RMsvAba9YDvr4zoxJNrXJ5Y+wTTX56OMYYnJj7Bd4d8NyITT5WffMLmq69m93PP0/n736fPk/+MuMTT9q/38vTsVXzwUgGp53Zj6t2jSR3RTYknEYtUVVUxatQohg0bRlpaGnfffXdw3XXXXcfw4cMZPnw4ffr0Yfjw4cF1s2fPJjU1lQEDBrB06dIG952ens6qVasAKCgooF+/fo1u29xU+SQiIiISdibCy3LsZwyRl+Crqa4dKv7xP2HwVfDtP0N8W6+jOml7D+xl5lszea3wNcb1Hsdvzv8NHRI6eB3WCTOBAN/89a9s/9MjxHbrRu/5T9B21CivwzohgRqXVYsL+GjJV7RKjOPyH51F32FdvQ5LRBqQkJDAihUrSExMxO/3M3bsWCZOnMiYMWP417/+FdzuZz/7GR061L6mrl+/ntzcXNatW0dJSQnjxo1jw4YN+HwNnxG1qKiIjIwM5syZQ0ZGRlgel5JPIiIiIuGmtruQc42JrPze3q3wrxuhKB/S/xsuyoEImyF0qE27NvHTlT+lcG8hOefmcOOgGyOyusZfWkrxHXdQuepD2l8+kR53342vQ2Ql0LZ/vZdX56/nm+L9DBjdg7HZ/WjVNvLOLCjSUjiOQ2JiIgB+vx+/33/U66cxhqeeeooVK1YAkJeXx5QpU0hISKBv376kpqaSn5/Peeedd9T+y8rKmDZtGrNmzSIzMzP0D6iOkk8iIiIiYWZwI68qJ8IYICZSkh2lH8OT10PFTsiaD2nf9jqiU7KkYAm/fvvXtIltw98m/I2RPUZ6HdJJ2ffGG5Tk3Ik5cIDk+++jfWZmRCXQXNewetlX5C/aQqt2cVx+y1D6Du3idVgiEWXDht+yd99nzbrPdomD6N//V8fcJhAIMGLECDZt2sStt97K6NGHnxX0zTffpHv37vTr1w+A4uJixowZE1yfkpJCcXFxg/uuTzxlZWWd4iM5MZH7dYqIiIhIxDIQgTNvIomp7buz37rn4bEMwIEZSyM68VTj1vDABw9wx+t30L9Tf5668qmITDyZmhq2zf0jhd//AbHdu9Pn2WfocNVVEZV42rOjkn//4SPe+/dm+g7vyvW/Hq3Ek0gE8fl8rFmzhqKiIvLz81m7du1h65988kmuv/764HVTe4rXwzT2mjVu3DgWLFhARUVF8wZ9HKp8EhEREQk3A5GRGYlcxkRA5dOeEnj6O5ByLkz5P0js5nVEJ628qpyfvf4z8svymTJgCjnn5hDni7zWLv+2bZT8/A4q8vPpcO019PjlL4lp1crrsJrMGMOG/K288eQXGGDcTYPoP7pHRCXORGxyvAqlUOvYsSPp6eksWbKEIUOGAFBTU8Nzzz3Hhx9+GNwuJSWFwsLC4PWioiKSk5Mb3GdOTg4LFy4kKyuLvLw8YmPDkxbSV24iIiIiYaez3YVaREzVqtgJGDj/xxGdeNpcvpmpi6eyZtsa7h17LzPHzIzIxNP+995jy9XXUPnJJyTNnk3yrFkRlXiq2u/nlcfWsfzv6+mcksiUX45iwJgkJZ5EIsz27dspLy8HoLKykuXLlzNw4MDg+vrrKSkpwWWZmZnk5uZSXV3Nli1b2LhxI6OOcWKEuXPn0r59e2bMmNFg1VQoqPLJQuH51YuIiIhXDG4EZEYiW0QMHDdu3QXbA23cW8VvccfrdxDvi+exjMcY3m241yGdMOO67Hj0UXY8Mo/4Pn3o/fhjtOrf3+uwTkjJpnJeeWwdFbsPMPqqMzgn43RiYiL3eSXSkpWWljJ9+nQCgQCu65Kdnc2kSZOC63Nzcw9ruQNIS0sjOzubwYMHExsby7x58xo90x3UtuTNnz+fSZMmkZOTwwMPPBCyx1NPyScRERGRcDMGFaCHVkS03dV/5RiB87+MMfzz83/y+w9+T7+O/fjTJX8iKTHJ67BOWGDvXkruyGHfypW0nzSJpHt+Q0zbtl6H1WTGNXy07CveX7SF9p1bcc2dI+h2enuvwxKRUzB06FBWr17d6PonnniiweUzZ85k5syZx9z3ypUrg5fj4+NZtmzZyYR4UpR8spntfy+JiIjISTEYtcKEmMHY/6dUfatDhD0X/K6f373/O57Z8AwX97qY+y68jzZxbbwO64RVb95C0Y9/zIGvvqL7L39JpxumRtT/y8q9B1j+xHq+XreT1JHduPiGgcS31sc7EbGTXp1EREREwi4iJhJFNNfF/kNc33YXQZVP+w7s47aVt/F+6fvMGDKD/zrnv4iJoPjr7Xv9dYp/9nOcuDh6P/44bUc3PhvFRiUby1n22Dqq9vn51tQBpF2YHFGJMxFpeZR8EhEREQk3td2FRcS03VmfJau1vWI7P1r+I74s/5LfXvBbvp36ba9DOmHGGL75y1/Z/sc/kjBwIL0e+RNxPXt6HVaTNdRm17VXO6/DEhE5LiWfRERERMJMbXehZ0wktd3Zn4jcsnsLP3zlh+yq3sWfLv0TY3uO9TqkE+ZWVVH6i5nsWbyY9pdfTtK9s4hp3drrsJqsar+fVx5fz9frvlGbnYhEHL1aiYiIiISdzm0bam4kDByPkJlPa7at4ccrfozP8fH3jL+T1iXN65BOWM3OnRTdciuVa9bQ9fbb6fy9myMqAbyjaB8vP/oJ+3ZV863r+5N2Uc+Iil9ERMknERERkXAzkTCQKLLVVpd5HcVx1M98svi58NrXr5HzRg7d2nTj0XGP0qt9L69DOmHVmzdT+IMfUrNtGz0feoj2GRO8DumEbFy1lRX/+Iz41rFM/tk59Dijg9chiYicMPtrfEVERESiTG1iRH+GhZJrrC8oIlgBZ2mgL25+kdtW3kZqx1T+MfEfEZl42v9+PgVTrsetqOD0f8yPqMSTG3B559lNLPvbOrr2akf2L85V4kmkBaiqqmLUqFEMGzaMtLQ07r777uC6NWvWMGbMGIYPH87IkSPJz88Prps9ezapqakMGDCApUuXNrjv9PR0Vq1aBUBBQQH9+vVrdNvmpsonEREREU/YmXCIFsZgf1uS5W13/7f+/zijwxk8lvEYbeLaeB3OCSv/978p/dWvie/dm17/+yjxKSleh9RkVfv9LPvbWgo/28WQi3oyNrsfvlglrEVagoSEBFasWEFiYiJ+v5+xY8cyceJExowZQ05ODnfffTcTJ05k8eLF5OTksHLlStavX09ubi7r1q2jpKSEcePGsWHDBnw+X4P3UVRUREZGBnPmzCEjIyMsj0uvYCIiIiLhpra7MIiEgeN1bXeWVsEFTICeiT0jLvFkjGH7//t/lN7137QZMYI+T/4zohJP5VsrePb3H1K8oZyL/2Mg35o6QIknkRbEcRwSExMB8Pv9+P3+4JcpjuOwZ88eAHbv3k1ycjIAeXl5TJkyhYSEBPr27UtqauphVVGHKisrY8KECcyaNYvMzMwwPKJaqnwSERERCTOd7S70ImLgeHDwvJ1xGgyOpbE1xrguW2ffx64FC+hw1VUk/fZ/cOLjvQ6ryYo37OLl//0UB4erbjub5H4dvQ5JpEX71cYi1u6rbNZ9DklszW/7HTshHggEGDFiBJs2beLWW29l9OjRAPzxj38kIyODn//857iuyzvvvANAcXExY8aMCd4+JSWF4uLiBvc9bdo0Zs2aRVZWVjM9oqZRCl1EREQk7Ay2JhyihTERNHDc0son17gRlSQ1fj8ld97FrgULOG36dJJm/y6iEk+fvVPCoofW0KZdPNfeNUKJJ5EWzOfzsWbNGoqKisjPz2ft2rUA/PnPf2bu3LkUFhYyd+5cZsyYAdS+5x2psdfvcePGsWDBAioqKkL3ABqgyicRERGRsFPyKdQi4ghbPvMpkiqf3MpKim/7Kftef52uP/0pnb//vYhJnBnX8F7el3y09GtSBnbisu8PIaFNnNdhiQgct0Ip1Dp27Eh6ejpLlixhyJAhzJ8/n4ceegiArKwsbr75ZqC20qmwsDB4u6KiomBL3pFycnJYuHAhWVlZ5OXlERsbnrSQnV+ziIiIiEQxY9yI+VAfqVw3Alob6yufLH0uGGOIsbQq61CBPXv4+ubvse+NN+hxzz10+cH37f/d1wn4XZb+bR0fLf2atAuTmfSfw5R4Emnhtm/fTnl5OQCVlZUsX76cgQMHApCcnMzrr78OwIoVK+jXrx8AmZmZ5ObmUl1dzZYtW9i4cSOjRo1q9D7mzp1L+/btmTFjRoNVU6GgyicRERERL0TAh/pIZrC2oOgQ9ZVPdj4XalsX7T6INdu38/XN36N682Z6zv0D7S+7zOuQmqy6soaXH/2E4i/KOf/qVIaP72X98RaR0CstLWX69OkEAgFc1yU7O5tJkyYB8Ne//pWf/OQn1NTU0KpVK/7yl78AkJaWRnZ2NoMHDyY2NpZ58+Y1eqY7qG3Jmz9/PpMmTSInJ4cHHngg5I9LyScRERGRcDMR0RQW0YzB/uoyy9vuXOyu0PNv3cbXN92Ev6yMXo/+mcQLLvA6pCbbv7uaFx/5mJ3F+xn3ncEMGN3D65BExBJDhw5l9erVDa4bO3YsH374YYPrZs6cycyZM4+575UrVwYvx8fHs2zZspOO80SF7GsWx3Eedxxnm+M4aw9Z9hvHcYodx1lT9+/yRm57meM4XziOs8lxnLtCFaOIiIiIN4zFH+mjQ23LmNdRHIdR5dPJ8m/dytfTplGzdSu9//qXiEo8lW+t4LkHPqR8WyVX3DpUiScRaRFC+U73BNBQ3etcY8zwun+Lj1zpOI4PmAdMBAYD1zuOMziEcYqIiIiElcG1NuEQLSKq7c7SVKTBEGPhiFh/aSlf/cc0anbsoNff/kabkSO9DqnJtn21h+ce/JADVQG+/dOz6Z3W2euQRETCImTvJsaYN4CdJ3HTUcAmY8xmY8wBIBe4qlmDs1yY5n2JiIiIV9R2F3KuMcTYnn2qHzhuaSLS1PYuWsW/dStf/cc0Ajt30vvxx2hzztleh9RkxV/s4vk/rCY23sc1d4yge5/2XockIhI2XrzT/dhxnE/q2vI6NbC+J1B4yPWiumUNchzn+47jrHIcZ9X27dubO1YRERGRZhdJp7CPVBGR3wu23XkbRmNcC8/KuOeFF/AXFdH7sb/Retgwr8NpssL1O3nxkY9pd1orrskZQcfubbwOSUQkrMKdfPozcCYwHCgF5jSwTUPvcI3WAhlj/mKMGWmMGdm1a9dmCdIWtr3Zi4iISHMxkdATFtFqc0+2H+MIaLuzrCrLPXAAgFZDhngcSdMVfLqDl/7fJ3To3obJt59N2w4JXockIhJ2YX03McZsNcYEjDEu8FdqW+yOVAT0OuR6ClASjvhEREREwiIiynIiW2QMHLe77Q4sTOBZfobAI21es52XH/2Uzj3b8u2fnk3rdvFehyQi4omwvtM5jpN0yNXJwNoGNvsA6Oc4Tl/HceKBKcCicMQnIiIiEg5quws9EwnFZZYnUlzj2ne2O9fuY3aojau2suQva+naux2Zt51Nq7ZxXockIhGgqqqKUaNGMWzYMNLS0rj77ruD6z7++GPOO+88zjrrLK688kr27NkTXDd79mxSU1MZMGAAS5cubXDf6enprFq1CoCCggL69evX6LbNLWTJJ8dxngTeBQY4jlPkOM4M4PeO43zqOM4nwMXAT+u2TXYcZzGAMaYG+DGwFPgMeMoYsy5UcYqIiIiEXyRkRiKbayIgwWd55ZOVSdK6hJ11SbEjfPF+Ga88to4eZ7Qn8yfDSWgd63VIIhIhEhISWLFiBR9//DFr1qxhyZIlvPfeewDcfPPN3HfffXz66adMnjyZBx54AID169eTm5vLunXrWLJkCbfccguBQKDR+ygqKiIjI4M5c+aQkZERlscVyrPdXW+MSTLGxBljUowxjxlj/sMYc5YxZqgxJtMYU1q3bYkx5vJDbrvYGNPfGHOmMebeUMUoIiIi4gnj4lh4CvtoYsD+tjvLZz65xrVu5pMxLsTYFdORNn6wleVPrCe5fyeu/M/hxLdS4klEms5xHBITEwHw+/34/f5gwv2LL77goosuAmD8+PE8++yzAOTl5TFlyhQSEhLo27cvqamp5OfnN7j/srIyJkyYwKxZs8jMzAzDI6qlV0IRERGRMKur3fA4iuhWO1bL8mNseeVTbYGeZcfQ8n7KzWu288rf15Oc2pErbh1KXLzP65BE5BTc88I61pfsOf6GJ2BwcnvuvjLtmNsEAgFGjBjBpk2buPXWWxk9ejQAQ4YMYdGiRVx11VU8/fTTFBYWAlBcXMyYMWOCt09JSaG4uLjBfU+bNo1Zs2aRlZXVTI+oaSx9pxMRERGJZnZ/gI50pq41y/rKJ9tnPuHa13bnGmsrn75e9w1L/7aWbqe3U+JJRE6Jz+djzZo1FBUVkZ+fz9q1teOyH3/8cebNm8eIESPYu3cv8fG1JzGof987VGNfHowbN44FCxZQUVERugfQAFU+iYiIiIRbfcWLhEQwp2Nb4uQodrfdGWOsrHyyLCIASjbu4uVHP+W0pLZM+vEwtdqJRInjVSiFWseOHUlPT2fJkiUMGTKEgQMHsmzZMgA2bNjASy+9BNRWOtVXQUHtTKfk5OQG95mTk8PChQvJysoiLy+P2NjwvF7Z+bWBiIiISBQzGBxbW62igBscSu1xIMcTzJLZ+VwwGGJs+7hg4cyn7V/v5cV5n9Cucysy/2u4zmonIqdk+/btlJeXA1BZWcny5csZOHAgANu2bQPAdV1mzZrFD3/4QwAyMzPJzc2lurqaLVu2sHHjRkaNGtXofcydO5f27dszY8aMBqumQsGuV24RERGRFsFga7VLNKj/M1ptd6fGxsonY1nb3e7tlbzwyMcktIkl8ydn07pdvNchiUiEKy0t5eKLL2bo0KGce+65jB8/nkmTJgHw5JNP0r9/fwYOHEhycjLf+c53AEhLSyM7O5vBgwdz2WWXMW/ePHy+xlt/Hcdh/vz5lJaWkpOTE5bHpXpQERERkbBT8imUDuZ0LD/Glg8ct3Lmk0UDxyv2HOCFh9fgBlwm3z6CxE4JXockIlFg6NChrF69usF1P/nJT/jJT37S4LqZM2cyc+bMY+575cqVwcvx8fHBFr5wsPOdTkRERCSK1VaU6M+wUHHD1EJw6uyO08bKJ1zXipgOVNXw0ryP2V9ezaRbh9GpR1uvQxIRsZr+6hEREREJO1U+hUOMBUmKY7K88skYQ4x1sXlf+WRcw9K/rmX713uZ8L0h9Dijg6fxiIhEAtveTURERERaALsrXiKd5aOUDrI8UIOxru3OhplP5dsq+HrdTkZlnkHfoV08jUVEJFIo+SQiIiISZsZYOEsnitS33Vk/cDyYhLQzUNfY0eJ2GAtmPrmB2t9bx25tPI1DRCSSKPkkIiIiEnbG2laraHAwpWNZ4uRItrfdWVj5ZMvMJ/A8ByYiElHsfKcTERERiXr65Boq9ZVP1icHbG+708ynhiMI/t48DUNEJKLY9m4i1H7LJCIiItHLGAsrSqLIwZyO5cdYlU8nzLiu5zOfgr82259fIhLRAoEAZ599NpMmTQou27lzJ+PHj6dfv36MHz+eXbt2BdfNnj2b1NRUBgwYwNKlSxvcZ3p6OqtWrQKgoKCAfv36Nbptc7PznU5EREQkqrmeV29EtYgpTNHMpxNmsGaYl22HRkSiy0MPPcSgQYMOW3bfffdx6aWXsnHjRi699FLuu+8+ANavX09ubi7r1q1jyZIl3HLLLQQCgUb3XVRUREZGBnPmzCEjIyOkj6Oekk8W0xuaiIhItDLYmnCIBhEzcFyVTyfO9X5Yv7G8XVJEIl9RUREvvfQSN99882HL8/LymD59OgDTp0/n3//+d3D5lClTSEhIoG/fvqSmppKfn9/gvsvKypgwYQKzZs0iMzMzpI/jULFhuycRERERAdR2F2rBeiLbkwOWJzFsnPlkjE1td56GISLh8PJdUPZp8+6zx1kw8b5jbnLbbbfx+9//nr179x62fOvWrSQlJQGQlJTEtm3bACguLmbMmDHB7VJSUiguLm5w39OmTWPWrFlkZWWdyqM4YXa9m4iIiIi0CGq7CyUTKQPHg+wM1Mo5pMaCgePUP7/s/L2JSGR78cUX6datGyNGjGjybYIVmYdo7DVq3LhxLFiwgIqKipOO8WSo8klEREQk3Aw4+g4wZFwNHG8WrnGtq3zCNd73U9o9qktEmtNxKpRC4e2332bRokUsXryYqqoq9uzZw4033sjChQvp3r07paWlJCUlUVpaSrdu3YDaSqfCwsLgPoqKikhOTm5w/zk5OSxcuJCsrCzy8vKIjQ1PWsiydxMRERGR6Gc08ymkgpUpHsdxXBa33R2sHrMsNgtaVo0baZV1IhJJZs+eTVFREQUFBeTm5nLJJZewcOFCADIzM5k/fz4A8+fP56qrrgouz83Npbq6mi1btrBx40ZGjRrV6H3MnTuX9u3bM2PGjAarpkJByScRERGRsDMRkBmJXBbndA5n8fCg+gRejG0fF2yY+VT30+skmIi0PHfddRevvPIK/fr145VXXuGuu+4CIC0tjezsbAYPHsxll13GvHnz8Pl8je7HcRzmz59PaWkpOTk5YYldbXciIiIi4WZctd2FUH3yKcbCpM7h7O3fOnhGN2/jOJKxYObTwSeYt2GISPRLT08nPT09eL1z5868+uqrDW47c+ZMZs6cecz9rVy5Mng5Pj6eZcuWNUeYTaKXTBEREZEwU9tdaEVO2529M59camOzrvLJgplPBwvWrH+GiYhYw7J3ExEREZGWwILqjSjmRkrlk839gbYObbdh5lPdT8uOjIiI1ZR8EhEREQk3o8qnULK1Zexo9qYxgjOfbKvKsmHmU/0wdssOjYiIzfSSKSIiIhJmBu+rN6JZ5OSeLG67q4/NMsY1niefqD80tlWFiYhYzL53OhEREZGop7a7UIqYgeMWt90dnJtlWWzG+zNFRsxMMRERiyj5JCIiIhJ2arsLpWBywPZDbHHlU31rmXVtd66L43FMwZyhx4PPRUQiiWXvJiIiIiLRzxjvP0BHM9fegqIj2D/zybrKJwuqBo0bKX2dIhLJAoEAZ599NpMmTQoue/rpp0lLSyMmJoZVq1Ydtv3s2bNJTU1lwIABLF26tMF9pqenB29XUFBAv379Gt22uemvHhERERFP6JNrqBys2rH8GB8sofE2jgbUz3yy7Wx3Vsx8qmNfYk5EoslDDz3EoEGDDls2ZMgQnnvuOS666KLDlq9fv57c3FzWrVvHkiVLuOWWWwgEAo3uu6ioiIyMDObMmUNGRkZI4j+SHa/cIiIiIi2K2u5CyRx/Ezto5tOJMxZUPtmbMxSRKFFUVMRLL73EzTfffNjyQYMGMWDAgKO2z8vLY8qUKSQkJNC3b19SU1PJz89vcN9lZWVMmDCBWbNmkZmZGZL4GxIbtnsSEREREaCu7c62D/VRJGIqn2xuu7N65pMdbXdexyEioXd//v18vvPzZt3nwNMGcueoO4+5zW233cbvf/979u7d26R9FhcXM2bMmOD1lJQUiouLG9x22rRpzJo1i6ysrKYH3QwsezcRIIK+rhMREZGT4331RjSzuKDocMGB4/YFWp98si7BYkHlk4hIKL344ot069aNESNGNPk29a/Zh2rs9XvcuHEsWLCAioqKk47xZKjySURERCTs1HYXSgfnQVt+jC3OkrnUzXyy7Bga43o+8ymYmNPX+CJR73gVSqHw9ttvs2jRIhYvXkxVVRV79uzhxhtvZOHChY3eJiUlhcLCwuD1oqIikpOTG9w2JyeHhQsXkpWVRV5eHrGx4UkL6SXTYna91YuIiEhzMcZY96E+mtTPK4qx/RAb19oMhr2VT3j/iw3mDC07NiISFWbPnk1RUREFBQXk5uZyySWXHDPxBJCZmUlubi7V1dVs2bKFjRs3MmrUqEa3nzt3Lu3bt2fGjBkNVk2Fgp3vdiIiIiJRzVibdIgGFhcUHcHeCrhgAs+2jwuu9/PSwvQ5TUTkKM8//zwpKSm8++67XHHFFcEz1aWlpZGdnc3gwYO57LLLmDdvHj6fr9H9OI7D/PnzKS0tJScnJyyxq+1OREREJOxU+RRKrrF3kPdhVPl04mxqu7Pt2IhI1ElPTyc9PT14ffLkyUyePLnBbWfOnMnMmTOPub+VK1cGL8fHx7Ns2bLmCLNJ7Hy3ExEREYli4Spxb6nqD6/X3VnHZfHwbLduGLptCRZjwzGrr6zTJykRkSbTS6aIiIhI2Lnef4BuAWxLnBzN/rY76yr0XON5VlHJYxGRE6fkk4iIiEjYGRz9GRYy9W139lc+2d92F2NbfBYM6zcaOC4icsIsezcRERERiX61H171wTVUImbguA0tZI2wt/LJ+5lP9U8w2/JyIiI200umiIiISNjZm3SIBvWVT9YlTo5k7D3robUznyz4v3Ow686uYyMiYjM73+1EREREopr3p4uPZsFz3Vl/iDXz6YRZNPPJ/ueXiIg9lHwSERERCbPaD6/65BoqETOTRzOfTpwxnv9eg88v64eKiUgkCwQCnH322UyaNCm47I477mDgwIEMHTqUyZMnU15eHlw3e/ZsUlNTGTBgAEuXLm1wn+np6axatQqAgoIC+vXr1+i2zc2ydxMRERGRlsD71qFoZiJm4LixNgdpsPSMbq4FCTtLD42IRJeHHnqIQYMGHbZs/PjxrF27lk8++YT+/fsze/ZsANavX09ubi7r1q1jyZIl3HLLLQQCgUb3XVRUREZGBnPmzCEjIyOkj6Oekk8iIiIiYafKp1AKtt1Zf4ztfR7Uz3yyrfLJGOP5wPGDbXd2/u5EJPIVFRXx0ksvcfPNNx+2fMKECcTGxgIwZswYioqKAMjLy2PKlCkkJCTQt29fUlNTyc/Pb3DfZWVlTJgwgVmzZpGZmRnaB3KI2LDdk4iIiIgc/OCq7wBDxnUjZCaPzW13ts58sqBa7GDbnbdxiEjolf3ud1R/9nmz7jNh0EB6/OIXx9zmtttu4/e//z179+5tdJvHH3+c6667DoDi4mLGjBkTXJeSkkJxcXGDt5s2bRqzZs0iKyvrJKI/eXrJFBEREQmr4EAib8OIYhEzcNzY235p7cwn18XxOiajvjsRCZ0XX3yRbt26MWLEiEa3uffee4mNjeWGG24ADr5mH6qx6sxx48axYMECKioqmifgJlLlk4iIiEhYHWwKk9AIVqbYfoxtrnw6eBDtYkHCLmIG2ovIKTtehVIovP322yxatIjFixdTVVXFnj17uPHGG1m4cCEA8+fP58UXX+TVV18Nvg6lpKRQWFgY3EdRURHJyckN7j8nJ4eFCxeSlZVFXl5esI0v1Ox8txMRERGJUqZulo71iZEIdnAmj8eBHJfFM5+om/lk2ccFO2Y+1f60NG8oIhFu9uzZFBUVUVBQQG5uLpdcckkw8bRkyRLuv/9+Fi1aRJs2bYK3yczMJDc3l+rqarZs2cLGjRsZNWpUo/cxd+5c2rdvz4wZMxqsmgoFvWSKiIiIhJXa7kKt/s/oGNuPcQRUPllX3WNF5ZOl87BEJOr9+Mc/Zu/evYwfP57hw4fzwx/+EIC0tDSys7MZPHgwl112GfPmzcPn8zW6H8dxmD9/PqWlpeTk5IQldrXdiYiIiISVPriGmomU/J4FiZTG1A8ct63yCdfFifF64njdTzt/dSISRdLT00lPTw9e37RpU6Pbzpw5k5kzZx5zfytXrgxejo+PZ9myZacaYpOF7N3EcZzHHcfZ5jjO2kOWPeA4zueO43ziOM7zjuN0bOS2BY7jfOo4zhrHcVaFKkZbaYShiIhI9DpY3a5PrqHiBodlexzIcdnbdmf1zCePgwpWPtn/BBMRsUYov8p4ArjsiGWvAEOMMUOBDcB/H+P2FxtjhhtjRoYoPutZV+YsIiIizaB2lo6t7VbR4OAXeZb/LWWMtc8DWyufjHHtmfnkaRQiIpElZK/cxpg3gJ1HLFtmjKmpu/oekBKq+xcRERGxU33bnYSKGykDx21uu7N15pPr/TGztipMRMRiXn5t8F3g5UbWGWCZ4zgfOo7z/WPtxHGc7zuOs8pxnFXbt29v9iBFREREmtPBs8rok2vI1B3iyBg4bmeMwcon2yqzjPG+3S14tjs7f3ciIjby5N3EcZyZQA3wf41scoEx5hxgInCr4zgXNbYvY8xfjDEjjTEju3btGoJoRURERJqT2u5CzURMdZn384sa4xrX6xAa5np/hsCDZ7sTEZGmCvsrt+M404FJwA3m4Fd/hzHGlNT93AY8D4wKX4QiIiIioaez3YWOW5/fs/0QG+8TKY0xlp6V0WBD213tT+taEkVELBbWdzvHcS4D7gQyjTEVjWzT1nGcdvWXgQnA2oa2FREREYk0arsLvfojbH/bnfeJlMYYY2nbnWu8P41h8AnmaRQiEuUCgQBnn302kyZNCi771a9+xdChQxk+fDgTJkygpKQkuG727NmkpqYyYMAAli5d2uA+09PTWbVqFQAFBQX069ev0W2bW8heMh3HeRJ4FxjgOE6R4zgzgEeAdsArjuOscRzn0bptkx3HWVx30+7AW47jfAzkAy8ZY5aEKk4RERGR8AqWTXgbRhRrpLjeQva23dla+YQxnlccqe1ORMLhoYceYtCgQYctu+OOO/jkk09Ys2YNkyZN4n/+538AWL9+Pbm5uaxbt44lS5Zwyy23EAgEGt13UVERGRkZzJkzh4yMjJA+jnqhPNvd9caYJGNMnDEmxRjzmDEm1RjTyxgzvO7fD+u2LTHGXF53ebMxZljdvzRjzL2hilFEREQk/Gp7wqz7UB9F3IgaOG5n+Uz9zCevEz1HsWLmU+1P646NiESNoqIiXnrpJW6++ebDlrdv3z54ef/+/cHXoby8PKZMmUJCQgJ9+/YlNTWV/Pz8BvddVlbGhAkTmDVrFpmZmaF7EEeIDds9iYiIiIja7sKirjLF9kMcAW13tiVYbJj5dDD75G0YIhJ6bz61gR2F+5p1n116JXJhdv9jbnPbbbfx+9//nr179x61bubMmfzjH/+gQ4cOvPbaawAUFxczZsyY4DYpKSkUFxc3uO9p06Yxa9YssrKyTuFRnDg7v2oRERERiVpquws1N1IOscWVT/VtdzG2fVywYOaTKp9EJJRefPFFunXrxogRIxpcf++991JYWMgNN9zAI488AjTcbt7Ya9S4ceNYsGABFRUNjuEOGVU+iYiIiITRwVk6ln2ojyImUtrubJ75ZGnlkw3VYsYYr0MQkTA5XoVSKLz99tssWrSIxYsXU1VVxZ49e7jxxhtZuHDhYdtNnTqVK664gnvuuYeUlBQKCwuD64qKikhOTm5w/zk5OSxcuJCsrCzy8vKIjQ1PWkh/9YiIiIiEk9ruQu5ggs9yxlhb+eTaOpvMdXG8PmYGzxNgIhK9Zs+eTVFREQUFBeTm5nLJJZcEE08bN24Mbrdo0SIGDhwIQGZmJrm5uVRXV7NlyxY2btzIqFGjGr2PuXPn0r59e2bMmBG2k3TY+W4nIiIiErUipScsckVO2533VTyNsbXyyRgDMd4PHLfssIhIC3HXXXcxZMgQhg4dyrJly3jooYcASEtLIzs7m8GDB3PZZZcxb948fD5fo/txHIf58+dTWlpKTk5OWGJX252IiIhIWIXnG8aWzNbEydHsb7uL8brK6EjGeH7Iatvu7Py9iUh0SU9PJz09PXj92WefbXTbmTNnMnPmzGPub+XKlcHL8fHxLFu27FRDbDLL3k1EREREopupP4W9/gwLmYg5GZlxrS2hOdi6aFl8rovjceWTxTlDERFr6a8eERERkbCKlJ6wyBU8U5vtx9ji/i23PklqW3zG+8yPBo6LiJw4JZ9EREREPGBdRUkUMZGS3zOutQPHba18smLmExYm5USkWYVrCLeNQvXY7Xy3ExEREYlS9W13+jMsdIIDxy1LnBzN+yqextg988njY+Zi669NRJpBq1at+Oabb1pkAsoYwzfffEOrVq2afd8aOG6hFvgcFxERaUEiZSBR5Do4cNzjQI5HlU8nznVxYmxou7PsuIhIs0lJSaGoqIjt27d7HYonWrVqRUpKSrPvV8kni+k9TUREJBpZ+qE+itR/j2f931I2VPE0QjOfjhEC1v7aRKQZxMXF0bdvX6/DiDqNftXiOM5VjuP8tO7yzeELSURERCR6HSzj16fXUDnYMmb7MfY+kdIYWyufbJj5hGts/bWJiFjrWK/c3wM2OY7zADAqTPGIiIiIRLm6mU+WtltFAw0cP3XWznxyXc9/sbUFa7Y/uURE7HKstrtNxpgXHMfZD/xfuAISERERaQlsqyiJJhEzcNzitjuDpUNIjfF+5hPW/tpERKx1rK8yHgEwxqwALg9POCIiIiLRTW13oVefOPE4R3F8xlhb+VQ/88nOyidvYzIWJw1FRGzVaOWTMWYTgOM4PqCX4zgXHrq9MeYPoQ9PREREJNq4XgcQ9SInv6eZTyfKgPeJH9d4HoKISKRpytnuXgCqgE/RX0siIiIipyT4od62ipIoUl9dZlvi5CjGhRg7Tz5t9cwnK9ruLH9uiYhYpinvdinGmKEhj0RERESkJYicspyIVX+EI6Ptzs4gg+2htoVnwTGzIAQRkYjTlK8yXnYcZ0LIIxERERFpESLlVGyR6+DZ7mw/xva33cU06eNCGLmu91WDrrH11yYiYq2mVD69Bzzv1L7K+6l9qTXGmPYhjUxEREQkCh2cpWPZh/oo4ppIGTju/fDsxtQPHLcpgXewGkttdyIikaYpyac5wHnAp+bg6VlERERE5GSo7S7kDnaMWX6MI6B/y6rKp/pfrNczn4wGjouInKimvJtsBNYq8SQiIiLSHCydpRNFXFvnFR0pAiqfrDqGtlQ+ud7HICISaZpS+VQKrHQc52Wgun6hMeYPIYtKREREJEqZupMHW1+VEwWsb7uLhJlPNiXH3Lr/OzHex6Tck4jIiWlK8mlL3b/4un8iIiIicrKCxeTef4COVhEzcNziyqf6pgebkqTGkpbV2rY7e46LiEgkaDT55DjOfwNLjDH3hDEeERERkShnR+tQNHODiRPLWTzzycrKp+DMJ29jMq61vzYREWsdq/JpC/ATx3GGAR8DLwPLjDG7whKZiIiISBSzqaIk2gRry6zPENjbdhec+WSTYNud18fM3qShiIitGk0+GWNygVwAx3HOBi4DnnMcxwcsp7YqKj8sUYqIiIhECRP8UK8Pr6ESrHyy/RAbY2/bHfa13VkzcFy5JxGRE9aUmU8YY1YDq4HZjuO0B8YDNwNKPomIiIicEDs+QEczS3IUx2dxFqN+vpJNbXfGrf/Fet12Z2z9tYmIWOtYM5+uPsbtjDHm+yGIRzj4TZOIiIhEIwsrSqKU9cfY4uFBwYHjVsVnUVbRhhhERCLIsSqfrjzGOgM818yxyBH0liYiIhJ91HYXeq4bIW13Ns98om6+kk3xWTLzyeKCNRERax1r5tN3whmIiIiISItiUTtTtImYgePGtfZ5YGXlkyX9lMYYu46LiEgEOO67neM4HRzH+YPjOKvq/s1xHKdDOIITERERiTZWDnKOMsEchbdhHJ/FJTT1z9OY439cCBtTV/nkecLO3l+biIi1mvLK/TiwF8iu+7cH+HsogxIRERGJWkazHUMtYs52Z3HbnSqfjhWG/g+LiJyoppzt7kxjzDWHXL/HcZw1IYpHREREJMpZUr0RxepTA1YlThpicdudWzebzKpjWJ/0sWHmk8cxiIhEmqa821U6jjO2/orjOBcAlaELSURERCR6qe0u9Gpn8ngdRRNEQNudVc/T4MBxr9vuIuT5JSJikaZUPv0ImF8358kBdgI3hTIoERERkagVbNnRp9dQMSYCho2D1ZVP9a1lMRbFZyz5v1MbRgQ8v0RELHLc5JMxZg0wzHGc9nXX94Q6KBEREZHoZccH6GhmMBFydC2e+WRj5ZM1bXfG1pyhiIi1jpt8chynIzAN6APE1vd9G2P+K5SBiYiIiESj4Id6fXoNGdfebrbD1Q4P8jqKBlk988nrmDRvXETkhDWl7W4x8B7wKcEJmSIiIiJyUnSmrJCrHaVkUdKkMZr5dGIsmfkUMc8vERGLNCX51MoYc3vIIxERERFpESyp3ohiars7dTbOfLJlXpoxhhifnb83ERFbNeXdZIHjON9zHCfJcZzT6v+FPDIRERGRKGTqCsmdJv0ZJicjsgaO2xmnjZVPwYHjnp/tDrxOgImIRJqmVD4dAB4AZnKww9kAZ4QqKBEREZGoZUn1RjQzxtia0zmcxW13ds988jqMCHl+iYhYpCnJp9uBVGPMjlAHIyIiItJi6NNryLjG8/xE0xjX2oHjNlY+WTXzyeMz7omIRJqmvHKvAypCHYiIiIhIy2Dhh/ooEzFtd5r5dEJMXfLJ68StiZTkpoiIRZpS+RQA1jiO8xpQXb/QGPNfIYtKREREJEoZU3/yYH18DRVDhGQHIqHyyaYkXrBj1euZT/a2S4qI2Kopyad/1/0TERERkVOms92FWsRUplicxHCNa191Xv0cKo9b3mrb7jwNQUQk4hw3+WSMmR+OQERERERaBrXdhZoxhpiImMljd9udVVVPcMjAca+TT8bS35qIiL2Us7dQ8CQ4IiIiEnWCp4vXn2Eho4HjzSPGsufowZlP3g8c9zoBJiISaex6R5HD6D1NREQkGtlRvRHNDCYyBo5bnMRwjWtfBi8488njwOztlhQRsZaSTyIiIiJhZOUp7KOMxaOUDmdx5ZPBWFf5VD/zCc9nPlnYkigiYrlG31Ecx/mx4zhd6i6nOo7zhuM45Y7jvO84zlnH27HjOI87jrPNcZy1hyw7zXGcVxzH2Vj3s1Mjt73McZwvHMfZ5DjOXSfzwERERETspP76UHMN2Fe20xDNfDohxo4z8EVMclNExCLH+jrjR8aYHXWXHwLmGmM6AncCjzZh308Alx2x7C7gVWNMP+DVuuuHcRzHB8wDJgKDgesdxxnchPsTERERsZ+xY25NdDNeF8c0jXGtzWLUti7a9RwNznyK8TguZZ9ERE7YsV65Dz0TXjdjzPMAxpiVQLvj7dgY8waw84jFVwH1Z8+bD3y7gZuOAjYZYzYbYw4AuXW3ExEREYl4arsLvYjJDVgcqFufJLWJGxz65GkYFv/aRESsdazk0zOO4zzhOM4ZwPOO49zmOE5vx3G+A3x9kvfX3RhTClD3s1sD2/QECg+5XlS3TERERCTyGTs+QEcz15gISe5Z3HZnYeVTsGXViplPnoYgIhJxYhtbYYyZ6TjOTcCTwJlAAvB94N/ADSGMqaGX8kaHIziO831q46J3796hiklERESkmdTPrbHtg330MMbz/ETT2Dxw3MYEXl3bneN52x0qfRIROUGNJp8AjDFPUDu7qblsdRwnyRhT6jhOErCtgW2KgF6HXE8BSo4R41+AvwCMHDlSEzxFRETEakYDx0PONd4PpW4Si/u3DPYOHPf6mKnySUTkxJ3Q1waO4/zlFO9vETC97vJ0IK+BbT4A+jmO09dxnHhgSt3tRERERCKf2u5CrjZx4nUUTWBx5ZNrXOsqn0z9zCePj5mJlOSmiIhFTvSVe2RTN3Qc50ngXWCA4zhFjuPMAO4DxjuOsxEYX3cdx3GSHcdZDGCMqQF+DCwFPgOeMsasO8E4RURERCyl5FPI2VtQdASLZz4ZCyuf6v/veB1WxDy/RETsccy2uwY01CbXIGPM9Y2surSBbUuAyw+5vhhYfIKxiYiIiFjPUDe3xtKKl2gQMQPHjfG8iqcxBkPMCX9PHWKWzHwyxnifABMRiTBNfuV2HKetMeayUAYjIiIiEvWCI5/06TVUDBEycNziEhorK5+smfmktjsRkRN13OST4zjnO46zntoWOBzHGeY4zv8LeWQiIiIiUUltd6EWEckBy2d/uWjmU+OBRMhMMRERizTllXsukAF8A2CM+Ri4KJRBiYiIiESrg213+vQaKm4kJAdM7fPA80RKI+yufLIgDNuOjYiI5Zr0bmeMKTxiUSAEsYiIiIhEP8srXqKBvWO8D2FJC1ljrJz5ZOyZ+WTpr01ExFpNGThe6DjO+YBxHCce+C/qWvBERERE5ETZnXSIBlZW7RwpWPlkZ5w2DtU2rj3HzPrnl4iIZZrytcEPgVuBnkARMLzuuoiIiIicIFOXfLJtnk40MSYSBo7bXQHnGpcY21oCg4fM48onF1t/bSIi1jpu5ZMxZgdwQxhiEREREYl+wbY7yz7YR5Haoh3LswPGkuHZjTAY+45hsO3O67PdRUBlnYiIZU7q3c5xnF83dyBykDn+JiIiIhKx1HYXapE1cNzOQI0xFlY+2fN/x4IQREQiysm+o9zcrFFII/SuJiIiEm0Ott1JqNSejMz2I2x3252x8OvQ4MwnrweOu/bNwxIRsV2jbXeO4+xpbBXQOjThiIiIiES5+ooXtd2FjIWzso8WrHyy83lg58wnOxJ2xkRCclNExC7HmvlUDpxrjNl65ArHcQpDFpGIiIhIVKurfNKH15AxxnhdHHN8FrWQNcTOmU91x8zrmU9Y+2sTEbHWsd6W/wGc3si6f4YgFhEREZGoZyxvt4oGhkgYOG535ZPNM588T9y6RtknEZET1GjlkzHml8dYd2dowhERERFpKfThNVQiYuC45UlIzXw6RhzKPYmInDDLvs4QERERiXL1p4u3raokikTETJ5g252dzwMrZz65drQqGoz9zy8REctY9o4iIiIiEt1srCiJNrVtd5azfOYTWNi6aMsxc4mAJ5iIiF2UfBIREREJK7vbraKBUdvdKas9hpbFFqwa9Lryyfv8l4hIpGk0+eQ4zirHcR5yHOcyx3FahTMoERERkailtruQMwZibM8OBAeO2xmna1zPkzxHCZ7tzuuZTxYm5kRELHesV+4xwPNAOvC64ziLHcf5ieM4/cMSmYiIiEgUOth0pw+voeIaY//RtaWFrBEGQ4xlTRLGtWROVkT0dYqI2OVYZ7urAVbW/cNxnCRgIjDLcZxU4D1jzC1hiFFEREQkehi7262iQWRVPtmV4KlnZXVPMGHnZQi1MVh3bERELNdo8ulIxphS4HHgcae2Tvy8kEUlIiIiErWUfAo1g4mAw2v388BgLBw4Xtey6mHbneUFayIi1mpy8ulQxhgXeLuZYxERERGJegY7hiZHMzcick+WtJA1wuqZTx7GdbDyybMQREQikp3vdiIiIiLRSm13oRdRbXd2xmn1zCcvB44H//va+XsTEbGVXe8oIiIiIlFPyadQM5gIyA3Y/TyweuaTh8dMlU8iIien0bY7x3F+fYzbGWPMb0MQj4iIiEhUM9R/eNV3gKHimghIDtg+cBwbk0/1M5+8TD7V/rTu2IiIWO5YM5/2N7CsDXAz0BlQ8klERETkRFlQvRHtjDER0Hbn/fyiY3GNa93AceNa0Kqo/74iIiel0eSTMWZO/WXHcdoBPwG+C+QCcxq7nYiIiIgci07VHmr1o4GsFgGVTzG2xWa8n/kUbLtT9klE5IQc82x3juOcBtwO3ADMB84xxuwKR2AtmTGR8BeTiIiInAyD3udDzRABA8eD7IzTGGNfgsX1vlrM8pMUiohY61gznx4Argb+ApxljNkXtqgEsLYKW0RERE6FcdE5X0LMRMDAccuzGHYmSS2oGjQWxCAiEoGO9W73MyAZ+CVQ4jjOnrp/ex3H2ROe8ERERESijYWDnKOMa2ytJzqEsWB+0TG4xrWu7S4488nTtjvP7lpEJKIda+aTXe82IiIiIlGgfmKMhE7tvCLbj7HdWQxjDDEeJnkaZMGQ9uDMJ8sOjYiI7fSyKSIiIhJWBv0JFlrGWFtQdFAkDBy37XlqwcwngiHY/gQTEbGLZe8oIiIiIlHOuPYnRiKcayIgOWBBFc+xGGNh76IF85bUdicicnKUfBIREREJo9pBzrZ9qo8utWdqs5zllU8urn2VT8aGmU/1bXfWP8NERKxi2TuKiIiISLRT8inUIqLtLjjzydJALaweM1a13XkXgohIJFLySURERCScjMGxtNolWkTEwPFg252dzwXXuNYln2w4ZkZ9dyIiJ8XOdzsRERGRKKW2u9CLiMqnYNudnYEaDI5tz9O6Y+Zp4VMw/2XZsRERsZySTyIiIiJhpeRTqLnGwsTJUexuu3ONS4xtVVn1mR8bZj7Z+WsTEbGWZe8oIiIiIlHOGPvamaKMIQKSA5YPHAesS+AFZz55mHwK5gwtOzYiIraz991OREREJAoZXPTBNbSMhcOyjxIsfLIzTrtnPnkX18Gz3XkWgohIRNLLpoiIiEhYqe0u1IwxWD+Sx/LKJ7tnPnmZfMLzGEREIpGd73YiIiIi0cqAkk+hFRnpPc18OmEWVD6hk92JiJwUy95RRERERKKbwcWx7UN9lHEjYa6WDYmU47Ct8sm4ddViNgwc139hEZETopdNERERkbBS6USo1c588jqK4wi23dkZqJ0zn+p+qu1ORCTiKPkkIiIiEk4mMprCIpkx9lXtHM3utjsrZz65Nsx8UvJYRORkKPkkIiIiEkYGo7a7EDPG2FpQdJDtA8eNsW7mkzGu95ViqnwSETkpdr2jCKBifBERkahmXGytdokWBiLgbHd2z3yysvLJGE/nPdWHANbmDEVErKWXTYtZ9nYvIiIizcS6D/VRxjUWJk6OFAGVT9ZV97g2JJ/qBo7b/vwSEbGMne92IiIiIlHKEAnTsCObBQUyTWD3zCc7B44b74+W3b82ERFrWf+2LCIiIhJV1HYXcvW1KVazvH/LYIix7aOCcT3PKgYrn6zv6xQRsYtl7ygiIiIi0S4CWsIiXGQNHLczUBvb7ozxvmowmDP0NAoRkcij5JOIiIhIGKntLvSMiYCB45b3b1k5cNyCmU+W/9pERKyl5JOIiIhIWBn0J1hoGSJgILTlbXea+dRYCGq7ExE5GWF/t3McZ4DjOGsO+bfHcZzbjtgm3XGc3Yds8+twxykiIiISEpFwJrYI50ZE21198snOQA2GGNsSY1bMfKr9aedvTUTEXrHhvkNjzBfAcADHcXxAMfB8A5u+acz/b+/eYyVJz/u+/56qvpzLzOzMzl6o3eUuueZVFCVLXNNiLMiyaMqkIMiRrNgUAjsWjNCy5cQGHCBWYhgJEMAKEgSIJINr2hZkI7F8kSWFkilfAllIJCuSVkuKIrlckFySuzuzMzs7u3M5lz7dXe+TP6q6+8yZc+Zyzqmup2q+H6Cnb9XVb1f3qcszz/OUf98ShwYAAFC7suyu6VF0W1l2F3wht6HnU7AfqqcAJauzzKemxwEALdP0f2d8UNJX3P3rDY8DAABgScqiMNQnzdJTQovdPMgVr+F4GVWMkfnU+FEUALRM06vNj0r6uQOe+4CZ/b6Z/aqZveegGZjZx8zsGTN75tKlS/WMEgAA4Ji4J1m0cqauaUXmUwt6PkULjKXU+IjmPZ8aHgcAtE1jWzszG0j6fkn/cp+nn5X0hLt/i6SfkvRLB83H3T/h7k+5+1MPPvhgLWMFAAA4PmQ+1c3VfHXWbQUvu5MUr+eTms980rxVV9zvDQAianLt/RFJz7r7xb1PuPs1d9+obn9KUt/MHlj2AAEAAOrBgWudUoCzot1e/MynaDxFaDg+O9tdo8MAgNZpcrX5wzqg5M7M3mTVfyeY2ftVjvPyEscGAABQD3fK7mpWtgYKHn6aB3dijtMVr+F4hJS2RTuxYMsGAIJb+tnuJMnM1iR9SNJf3vXYj0qSuz8t6Yck/RUzm0ralvRR91Z0jgQAALglV7yMkq5pRebTvOdTzJEmT/HK7lJqvtwt9tcGAGE1Enxy9y1JZ/c89vSu2z8t6aeXPS4AAID60fOpbmWCTPBlPO/5FCzAM+MRl6E3HvXx4EFDAIgq6NYOAACgozxgOVPXNB+juAOzpP6YA02Kd7a7GD2fyuv4vy8AiIXgEwAAwBK5PG62S0e0q+wu5m/B3eNlPoXo+VQ1HI+2bAAguJhbOwAAgM6i7K5uLimLHhwInkLjcmXRDhUC9XziTxgA7k6wLQokLTZqAACgeyi7q12ZtdP0KG6HzKe75qnxYN0i86nRYQBA68Tc2kES6bwAAHSRt6MhUaslb0Fiisc+62HyAFlGe7h7oJ5PsZYNAERH8AkAAGCpkloQGmmt1vTkaUHZXbgMvRQgcEvZHQAcCsEnAACAZaLsrlbBYzoLs8ynwGV3WbSxBSgFbE1wEwCCCbZFAQAA6DbK7uo1S0wJ33A8eApNyMwnT4HK7hodBgC0DsEnAACAZXIXu2D1mWemNDyO2/LYDcfD9nwKkvkU/wcGALHE3NoBAAB0lnPcWqPUlsyUedldzIGGzHxKLmUxej5FC8wBQHQEnwAAAJaIsrt6udrSkydu5tMsu4eeT/sMYf77anQYANA6wbYoAAAAXeeiZqc+renJM8t8CvhbmAdYoo3NU+PBukXCWrBlAwDBEXwCAABYIvckYxesNouWPMGDA4GjZFHP6OYpQNYgPZ8A4FDY8wEAAFi2pg+gO2yWtdN0a6DbmqfQxNsdTyrHFi6A59782e6q62iBOQCILt7WDgAAoNMou6tTaxqOzwUcaLUMw/V8SqnxxRW8TzwAhBVsiwIAANBtZdkdR651WTTLDr6MPW7D8XnmU7Rl6C5ruucTZXcAcCjxtnYAAACdFqBvTYf57SeJIXAKzbznU7AIi3tqvOxuJlxgDgCCi7H2BgAAuGdQdlen9pyNLG59YPKomU9qfHl5mjVjb3QYANA6BJ8AAACWyT1cRkmXtK7heODfQhbtUCGlxgNii5MUxv3eACCiYFsUAACAbnN5yD4/XZHa0pLHyXy6ax6oZDXIMACgLdjzAQAAWKrWdCVqpXm/oihBioPM6wPj7Y7PsseiZehF6Pm0KLuLtWwAILp4WzsAAIAuo+yuVrPQXviyu/lI4w00buaTwmQ+BRkGALQGwaeAnP8RBQCgsyi7q1cKXM52g/k44/4WsmhjC9HzicwnADiMYFsU7MYmDQCALkpiK1+jKqYTPvNpcVq+ZsexjzRvhh5MSo0vrxb0iQeAkAg+AQAALJPH66XTJYtitujLOG7m0+KMgbHG5vLGez7NBIwZAkBoMdbeAAAA94iy7I4j17qkeVlUwwO5ncApNPOeT9HGlpr/26HsDgAOh+ATAADAUlF2VydvTdlddR04iBEt80nusoa/2MAxQwAILdgWBQAAoOM4212t5plP0ZfxvOdTvN3x2D2fml1es5JEMp8A4O7E29oBAAB0GGV39WrLye52d6eKJmppWYi/ndb8vgAgFoJPAAAAS+ViF6x+0QInNwkcJZs3HI/2O03eeD2lz7+3RocBAK0TbIsCAADQbU7ZXa0WZXfBzcvu4o00auaTvPnMp0XMMNiyAYDgCD4BAAAsVfMH0F02bzgefi/XG+9fdJCkqGe7S7Kml1lbzqYIAMHE3OIBAAB0lt9+EhzaopNS8OiAxz3rYdTMJw+U+dT0OACgbQg+AQAALJF7krELVpvUlsyUAIGUg8yCT1nTWUZ7uTee0ha4VRcAhBZsiwIAANB1cYMOXdCanjyewpbdzRqOh8seS6nxZLGoWWEAEF3MLR4AAEBnuRo/gu4wb0vD8cC/g1Q1Qw8XYHEP0PNJUb82AAiN4BMAAMAyuSi7q9GsJU8WLXCyl8dtOB4188k9BSi783hBOQBogZhbPAAAgI5yNV861GWt6cnjKewg4/Z8UuPLLHCrLgAILdgWBQAAoOuo26lTak3Znch8ulspybLGmz615McFALHE3OIBAAB0lXu8g/oOaVXD8aC/g7BNtb35wG2Z+RRsuQBACxB8AgAAWKKy7I5dsLrMM5+ixwcC128lVQ3HgwXHYvR8ajr8BQDtxJ5PQLP/sQMAAF3F4Wvdwi9hej7dvRA9n1xquvQPAFoo2BYFuwXdHwEAAEdB2V2tZv+JF/5sd4F7f9Hz6RbiJqwBQGgEnwAAAJbIOXqtVbvK7mLuioft+ZSa75Pl7tFCcgDQCjG3eAAAAJ3V/AF0l826F4TPfApcdhe255M8Rs+nprOvAKCFCD4BAAAskVN2Vyufn+6u2XHcXtzMJ81LF4ONLwXIGoxbLQkAoQXbogAAAHRdgAPoDkutiT3FzYBLXmU+RfudBmj2TfAYAA6H4BMAAMBSudgFq9PsTG3BAwQeNwgZuuF4w9lYgVt1AUBorDoBAACWiMyJes0zn6IvYk9hoxhRM59CNOsPHDQEgMhibvEAAAA6y6NWW3XCouVT9IUcv3lQFu1QIUUou4v+rQFATMG2KAAAAF1H2V2dZg3Hw5+QzBU+8ylclCVA1pG7Nz0EAGilRrZ4ZvY1M/sDM/uMmT2zz/NmZj9pZl82s8+a2bc1MU4AAIDj5p5akJXTXrOyu/CL2FPjgZSD+LxvVrDgWICeT+VJCmN+bwAQWa/B9/4T7v7aAc99RNLbq8sflfTx6hoAAKD9ggYdusDb0nA8Qv+iA8x7PgWL4HmQzCcAwN0L9t8Zc39a0j/x0v8n6bSZfUPTgwIAADi6+L1+Wm3e8yk4T4o+ynCZT+5SFiDzKWjQEAAia2rt7ZL+nZn9npl9bJ/nH5X00q77L1eP3cTMPmZmz5jZM5cuXaphqAAAAMeHsrt6Lc52F3wZB8jiOci851M0KTUer3MP26oLAEJratX5x9z921SW1/2YmX3nnuf326zsm+Pq7p9w96fc/akHH3zwuMcJAABwzOIGHbpgUXbX8EBux1PYKEbYnk/ujfd8ouwOAA6nkbW3u5+vrl+V9IuS3r9nkpclvXnX/ccknV/O6AAAAOpE2V2dFplPzY7j9uL+Duj5dKsxtCCrDgACWnrwyczWzezk7Lak75H0uT2TfVLSX6jOevftkq66+ytLHioAAEANXBa27Wb7zTJTwgcIItdvVQG8iJlPzfd8cs52BwCH0MTZ7h6W9IvVDkFP0j91939jZj8qSe7+tKRPSfpeSV+WtCXpRxoYJwAAwLGLkL3RZbOiqPBL2FPY30FS3J5PTQd+qLoDgMNZevDJ3V+Q9C37PP70rtsu6ceWOS4AAIDliFtu1QWtyXxS3MynsMswQOA2wBAAoJVibvHucfyPCgAAXeaEnmrk85KxZsdxW54UNQg5bzge7FDBI5QqUnYHAIcSa4uCG0Rr8ggAAI7OA5/lrAvmDcej70cFTqEh8+nWQwAA3D32fAAAAJaKsrs6LQInDQ/kTgQNQs7PdhdtIabUeEqbu8dbLgDQAjG3eAAAAB0WPiunxeYNx6Mv4haU3YX7nabUeOAnQuUfALQRq04AAIAlmWXlcPRan3nmU7TAyV4BSsgOMluGWaDfaZi/HeruAOBQ4mxRAAAAOm92CvuYQYcumDccj76X6ylu8Cli5tM8+NRw5pMCliMCQAtE3ywDAAB0xiIrB3WZl92FX8px67fmwadIQZYgpzEMHDMEgNBibvEAAAA6aREaQT1SWxqOB+75NG84Hml8qRpT0yltgcslASAygk8AAABLMzuLGLtgdQmSIHN7gYMYs8ynSD2fFr2WIpTdNToEAGilQFsUAACAblv0KubotS4pSJDi9gKX3QVs2u5Bmnl58ljliADQEjG3eAAAAJ3UlsBI+4WPDwQuu5sHnyItxHnD8eaHEWmxAEBbEHwCAABYmoAH9R2zKLsLvow9buZTEj2fDuaNB8AAoI2aXnsDAADcM7xq5MzRa31SW84oGPi0abPMp0g9nzzFyBosv7aY3xsARBZniwIAANB5s9IhDl7r0prMJyls5tOs4XiozCcF6fnkzp8vABxCzC0eAABAJ8XI3uiy+RKOvojp+XR3qrK7EIss0nIBgJYg+AQAALBkxi5YbRZnuwsucOfqVJWHhgo+zQJiTWc+xa2WBIDQ2PMBAABYknnPJ45e6zOvzoq+jOMGn2ayQIcKnmL0S6PsDgAOJ84WBQAAoPNakpXTYq1qOB50lCEzn2YaP9td0OUCAME1v/YGAAC4Z8wCI+yC1aU9PZ+chuN3Y5b51HBGmyePGjMEgNBibvHucfyfKAAA3UTZXf1ac7a7wM2DQmY+BWmCXrbqCrRcAKAlCD4FxnYNAICu4Wx3dWtN2Z3iZj7NZIHGN+/5FGBM7KMDwN1rfu0NAABwj1iEnjh6rcui7C74Mm5Bz6dQZiltjWc+xW8UDwAREXwCAABYlvkBNLtgtZmXZzU8jtsJHMSY9XyKlPm0q56y2WHErZYEgNACbVEAAAC6LmBGScekWXyv2WHcgbhld/OeT5GWYorSh8oDjAEA2ifmFg8AAKCDQp5FrGPcZ1k7wZdx4LK7mZCZTw2PyV3RvzYACCnQFgUAAKDjghxAd1mK0Rro9lxhfwcRez55lJ5PyZseAgC0UswtHgAAQCeR+VS3VjUcDzrGRfZYoEOFID2fpBb8tgAgoEBbFAAAgG6bZ28QfKqNt6XhuOI3HA8VJA3S84myOwA4HIJPAAAAS0PwqW7elobjgXs+xc58arrnEw3HAeAwAm1RAAAAum6WlcPBa11mWTvxG47HzXxKAc/K6ClGv7TAXxsAhEbwCQAAYEl83siZo9e6tKbhuLzxQMpBFqWLkRZikJQ29+bHAAAtFHOLBwAA0EmU3dVtUXYXfBlHLrtTwLK7Wc+nxsvuogXlAKAdAm1RAAAAum6WUcIuWF3mzbKjxwe8BZlPgYJjXgWfmv5iy55PjQ4BAFop5hYPAACggzjbXf28LWV3nsIOMnmMM8vdYP6n0/Dhiyvs9wYAkRF8AgAAWBq//SQ4ksWZ2qIHCAJnPile5pNm/dIaHhINxwHgcGJu8QAAADqpLWk57eVB+lLfFj2f7s6sFLDxnk8eKyMMAFoi0BYFAACg2xYZJeyC1WVxtrvgAYLA5Vv0fLrFOFxRY4YAEBp7PgAAAMviMQ6gu2yRtdPwQG6rBWV3kX6nYXo+kfkEAIcRc4t3j1s0IwUAAN3EwWtd2pP5FLfsLnkKlfUkaRG4bTiqSM8nADgcgk8AAABLQtndErTlP/ECRzHcPVa/J2nR86nxsjuPFpYDgFYItlUBAADosCBn7OoyV+PJMXfGU9zgkzxe5tOs51PDDcfb8wMDgFgIPgEAACxNvEbOXZNa05MncM+ngMvQ07zpU7PjiJuwBgChxdziAQAAdJArxgF0l7m3JDElcs8nBez5NPvbabznU8CsMABoAYJPAAAAyzLrRxQ046ULXC3JLIucQuOK1/OpKrtrPCPLxREUABwCq04AAICloeyubsk9akLRHnHL7pKn5oM8e80Ctw33fIpYkggAbRBziwcAANBBlN0tAWV3Rxax4Xionk+NjgAA2ongEwAAwLLMy+44fK1LaktPHifz6a54jJ5PgRPWACA0Vp0AAABLU/WtaUNwpKUit1K6QfCBZtEOEzxGzycP/r0BQFTBtioAAADdRdld/VxS1orgQNwUmuQp3k80TM+neIsGANog5hYPAACgi5zgU93KsrsWCN7zKdrZ7uY9n5oel7us6dI/AGihWFsVAACAe4A1fQDdYa2pigo80OQpXmnovF9agGEEWzQA0Abs+QAAACyJV31rUB93b7wv0J2JG3ySFC7zad7zqcGyO68CYHG/NQCIa+lrbzN7s5n9BzN7zsw+b2Z/fZ9pvsvMrprZZ6rL31n2OAEAAI4fZXd1c4WO6SwELrtLAYOknqoxNfnlziv/Yn5vABBZr4H3nEr6m+7+rJmdlPR7Zvbv3f0Le6b7f939+xoYHwAAQE2qzIloWSUd4t6ShuMet+F4xJ5Pi7K7AJlPLfh5AUA0S197u/sr7v5sdfu6pOckPbrscQAAACzbouyOo9e6tKrheNAohrsH7vnU3Ljm5wuItmwAoAUa/S8NM3uLpG+V9Nv7PP0BM/t9M/tVM3vPLebxMTN7xsyeuXTpUl1DBQAAOAaU3dWtLLtrw/KNnfkUbhnOso6aLHlrPvkKAFqrsVWnmZ2Q9K8k/Q13v7bn6WclPeHu3yLppyT90kHzcfdPuPtT7v7Ugw8+WNt4AQAAjk20A/sOCXwSuRsF7/kULfMpQs+nRdldrGUDAG3QSPDJzPoqA0//p7v/wt7n3f2au29Utz8lqW9mDyx5mI3x208CAABayGc9n4Id2HeJt6bsLm6UzD1wz6dGz3bX2FsDQOs1cbY7k/SPJD3n7v/bAdO8qZpOZvZ+leO8vLxRxhB0fwQAAByWN5+90XWtaTgevewuWggvRej5ROYTABxWE2e7+2OS/rykPzCzz1SP/XeSHpckd39a0g9J+itmNpW0Lemj7vxfAwAAaDsyn+qW3OPH9jx27y/3gD2fFCDwE/trA4DQlh58cvff0G1W2e7+05J+ejkjAgAAWA6fH73GzHjpAlcLYgMeu3N1UryeT5r1fGqy7K66DheXA4AWiLnFAwAA6KIAp4vvurKVUvDlG7z8MmLmk0cou0sBsq8AoKUIPgEAACwNZXd18zaU3an5QMqtuAI3HKfsDgBaKdhWBQAAoLucc9rWztWChuOzzKegUYzyjIHBxlYtsyazjjxC3ykAaCmCTwAAAMsSvNdPF7Qi8ylCFs8tuOKV3c2XWZM9n2JXSwJAaOz5AAAALE2VvREtq6RDkkfNJ9otdhAyebyG4yF6Pvks86mxIQBAa8Xc4gEAAHSQ0zSmdpTdHY+4PZ8CjCv67wsAAgqw9gYAALhHzGNP7ILVJXkLUp8iBVL2kebBsUDmPZ8aHwKxJwA4hJhbPAAAgE7ibHe1a0HsKXoUwz3w2e6a7PnkNBwHgMMKtlUBAADoLlfAjJKOcXn8srvoPZ8UsedT9bfTYPBpLtaiAYBWCLD2BgAAuEc4PZ/qllLYhKKF6D2fPGLPp9mNBhuOJzKfAOCwgm1VAAAAumx28MouWF1akfnkzZ+57VZSxAy9Wc+nrMmz3ZXXQb82AAiNPR8AAIAl8egZLx2Q/PbThBE0CBmx59O87K7RyM8seNzgEACgpWJtVQAAAO4JHL3Wxb0FZVHBg5ARez6FaDg+/9qCLRsAaAGCTwAAAEtDz5j6uRqszLoz0eu3IvZ8Ss0vs8XZ7hobAgC0VrCtCgAAQHe5aDhet+QtCA54hBKygyVP8X6iHidwG2EMANA2BJ8C8jb1KgAAAHcueLlVF7h7vJKxm8yyeGLuirtcWbTDhAABO/58AeDwgm1VAAAAuixO9kZXudSCsrvYUQx3D/cb9Qg9nwJlXwFA2xB8Ciz+/9oBAIC7sSi7YxesLskVtpxtLnjPJ1fA7LEAPZ9mAgwBAFqHPR8AAIBlcXo+1c29BQ3Hg5fdJU/xsnsCZB2R+QQAhxdziwcAANBJHLzWzb0Fob3oZXfyeGe7my2zJsvuYn9tABBasK0KAABAdy3K7lAXV7x+RTfx2JlPEZu2O2V3ANBqMbd4AAAAXRQ86NAF7i1qOB40ihEygEfDcQBoNfZ8AAAAlsRVBh2iZZV0SQqYtXOz2EHI5CneMvTZ307jQ6DsDgAOIeYWDwAAoNM4eq2Le9iEooXgjedj9nwKkPlEzzYAOLRgWxUAAIAOo+yudq4WBZ+CDjRmz6cApYqxvzYACI09HwAAgCVZlN2hLhEDJzeLHYR0j9jzqbpu9Gx3s++tsSEAQGvF3OIBAAB0Uuxyqy5wbzQ+cWfmzYNiSgrY86nKfGoyKDb/640WmAOAFoi+aQYAAOiO4L1+uqAVDceDl1+6B+z5pADNvOZnu2t2GADQRtG2KgAAAB02O3hlF6wu7ej5FKB/0S244gXwPKXGU9oWZ7uLtWwAoA3Y8wEAAFgSp+yuduXZ7qIv3/iZT+F+ogGiiouyu0aHAQCtFHOLBwAA0EWU3dWubDge3CKFptFhHMTlyqIdJqTUeFDR52V3Mb83AIgs2FYFAACgyzh4rZtLyqIv3nnPp5gDTd58oOcmnhpdXjtbE1184Wp5J9iiAYA26DU9AAAAgHuFK3bGSxck93iBk5vELruTFK7huC/5NIaeXJfPb+rFL1zW1//gsl75ylV5cq2eGujk/StLGwcAdAXBJwAAgGWh7K52EdsV3SR42V2ajy+QVO/Z7txdVy5u6dzzb+jl59/QueevaLQ5kSSdfeyEvu17HtcT33RWDz95n7LwqXUAEA/Bp5D89pMAAIAWouyubq1oOO6xM59cHi7zScec0ZaKpMvnN3Xxhat65StXde75N7R5dSxJOnFmqLe896wefdcZPfbOMzpxhkwnADgqgk8AAABLsvjvpWAH9h1Slt01PYrbCN7zqWzaHmxsR+z5tL0x1sUXrunCC1d14atXdfFr1zXdKSRJq6cGeuwdp/XoO8/osXed0akHVuMHMAGgZQg+BcY2DwCAjglebtUV8Zdu/MynpoMvxcaGRp/7vLY/+1ltf/b3tfW7z8h6d3bosnl1R5devK7XXrquSy9u6NJL13X98kiSZJnpgcdO6N0f+Aa96clTetOT9+nk2ZXGPy8AdB3BJwAAgKWZld01PIwOc5ey6As4eBAyeVpa5pO7a/rqqxo995x2vvhFjb7wnEZf/KImL744n2bwxBM68ce/Uyc/9KEbXjudFLpycUuvn9/U5fObuvzyhi69eF1b18bzae57aFUPv/WUvuk7H9WbnjylB584pf4gX8pnAwAsEHwCAABYEp8X3sXMeOmCdpXdNTuMg7jX0/Op2NjU+KsvaOcrX9HOl76kneee0+i5L6p44435NP0nHtfKu9+t0z/4A1p5z3u0+t73Kq2d1NVXt3Xxwqae++UX9Pr5Tb1+flNXL23LU7kss8x05hvW9Pg33q8HHj+pB998Ug88dkKDVQ53ACAC1sYAAADLEjzjpQtcLch8akPZ3SF/o+6u4rXXtPOVF6pA0wsav/AV7bzwVU0vXJhPZ/2+hu94h0588Lu18q53q//Od2l89gld25Bee3VLVy5u6coz27r6qc9r442dxetMuu+hNd3/yLre9r6HdP8j67r/kXWdfmhNeS/m8gQAEHwCAABYmlneE/1l6pPc48f2ggQhR9ORXrz+or5+7ev6+rWv62tXv6avXfuaLmxeuGXmkxeFphcuaPzSyxq/9KImL76k8csvldcvvaR07dp82mxtTYMnn9Ta+98vf/ztGj/4hHZOvklb2Qm9+sZYV1/b1pXnt3X9P16Tp8/OXzdc7+n0Q2t69B1ndPrhVd330JpOP7ymM29aU69P2RwAtA3BJwAAgKWZh58aHUWntSD2tCi7qzdTZ5qmurB5Qec3zuvcxjm9vPGyzm2c07nr53R+47xe3X71hukfWn1IT9z3hH7gye/Xnz37IW09+2lNL7yiySuvaHLu/DzANDl3Tj6ZLF7Y6yl/9FH5m9+h6bv+E43PPq7R+oPazk9pc9t0/fJI1y+PNP3cLOh2SdIlDdd6Onl2RQ89cVLv+CMP6/RDVZDpoTWtnOjXumwAAMtF8AkAAGBZnOBT3VpRdjfLfDrCON1d18bXdHHrol7delUXN8vrVzZfKQNMG+d0YfOCCi/mr8ks0yPDh/U2e0jfOnm3Hivep0c2hzp7NWnt9S35xUuavvJ1TS7+jlT8S31d5fIs8hWN739UxSNPavq2P6nJ+x7WzsoZjbJ1bU8H2t5K2ro2Ln/el6uLCq2sb+jk2RWd+YZ1Pf5NZ3Xy/hWdOruik2dXdfLsiob0YwKAewZrfAAAgCVxlUEHyu7qE6bhuLu0c026fkG6dl66/op07Zx07RXp1eeqifYf6PZ0W5e3L+vy6LIubV3Sxa2LNwWZXt16VaNiNH9Nf+o6vSG9dXKf3jI5re/YOaWHts/qzIZ04vpEwytbsstXVLz+suQvqcgGGg9Oajw4qUsrp1U88JiK039Y4/d8UJP33adxtqZRGmhrZJpOfDG4qaTL0nCtp/XTQ62fGeqBtw514vRQ66fL65NnV3Ty7IoGKxxqAABKbBEAAACWxkXWU73ca8x8cpfGG9LGq9XlorR5ac/ti9JGdV2UjbJd0oaZLue5Lq+d1uX1+3X57d+u11/7HV2+8B/mgabL25f1+uh1bU23NJi4Tm1JJ7ekU1uuM6Ncj0xP6O3jFZ0d9XVqdFYnNpNWNnaUv7GpYuSa9NfLS29Vk/6qJoOTunLqAb124qwmj5zW+PET2rFVjYq+irT/Mhr2e1pdG2j1ZF8PnloEldbPDHTi9FBr95X3+wP6LgEA7hzBJwAAgGVxlwU9w1lbubuujaa6ujXRG1tjjSbFnYf3xlvS9uvS1uvV9eXq9hs3P7Z1Wdp4VdPptq5mma7mma5kua7kma7kua6snNSV4bquDlZ05aH7deVNZ3VVSRvjHRWbIw23C62PpPU3XCde2dL6aEvrv/4zemAy1Nt2+jq9nWl9K9NwtKJstC73vqa9VU17a5r01heBpcEJ7aye1ivDk5o8uK7Jwysaa6CDgppm0srJgdZO9rV2cqAHTg20enKgtep69WRfa6eq+ycGyvv8PgEAx4/gEwAAwJI4mU/7cnftTJOubU90bTTV9dHi+srWRFe2xrqyNdEbs9vbZaDpyuZYxeia1tKWTtmmTmlL77VNfcfWuvTbvyONrkqjK2X52+iqtP2Gxluv6/roDV3fuaKNNNG1LNNGZrqeZdrIsup+puv9ga7nA+2kniZT0zTlKnoPy4upVkfS+o60PpJObLvWdqT1UaaHdkxPFrlWpysaTAbKpgO5rVRBpDKQtLhdXfrr2lpf17VTKyrs1k22e/1MKyf6WjnR14n1vlZmlxOz2z0Nb7jf13C1J8v4zQEAmkXwCQAAYGliBp/cXVtF0kaRtFEU5fW00GaRtFkkXZ8W+vS1rX1ftzNN2tyZamtcaHM81eZOoa3xVJs70yqAVAWTtsvr69sTbY+2NN2+rjS6prSzIY03tJK2ta5trdtI6yovJ2xba9rW/dm2Hulta7U3Ui/blmUjuUaaro41WpO2MtOmZdoy0yhl+oPXTJ/+9awMGhU9Tae50lSysdQfSytj09rOWa2MB1qdDDWcDDQsBlqdDnVfGqqXVtXzoaShinylugw1zVdU9MrHytsrmuZDFesrmp4c6Kqkq7dYzmbSYGgaruQarPd1cn2o4Xpfg7Wehqs9Ddd6Gqz2NazuLx7va+VET70+pW4AgHYi+AQAALAsfrTgk7trlFzbKWm7SIvrImk7+fyxjaLQ5nQRTLo+KXR1NNH1caGN8VQb46m2xklbk6m2J4V2xkleJFnh0tTVm061OtnWajHS2nSk1aK8fGca68d/+9/LJtuyyZay6bb62tHAttXLR+rbjjLbUZbvKLexzMbKs7FOZmPdl03kPpV8qlS4xinXtDAVhWnqpmnKlAqTj00q+tqZDjQuBro67Ws47Wsw7atfrKtfDNRLA+VpoJ4PlPlAqz7UugaSBkr5QCkbqMiHKvKBiqx8rMiHKrK+inyolA/kw1waSknSdnU5SC9z9fpSf2AaDDKtrOQarA00WB9qcGKowUpPg9We+sNcg5We+it5ebsKKA2rgFJvkNFsHgBwTyL4BAAA7nnuLvexUhqrSDtKxUhF2lYqRkppR0UaVbdHKqrraTHSaLqjUZpoVIw1mk41ShPtpEKjotBOKrRTFNpJSTvu2pm6NqcT7aTv1aefP6fNSaHNSaGtaaGtcaHtadL2pLzemRYajQsVkx1pPJJNR8omY/WmOxoWOxoWYw3TjobFRMM01iCNNPCRej5S33eUa6SeT5RrR5nGOmMTnbGxck2U+1RZmqinqbI0Ve6FLBXKUyFNkyxlSkVPKfXlRU9e9OWpJxV9KfWk1FdW9KTUU5b6ylJfPe8rSyeV+/3KvKfMBzL1ZCqvpYFkPXnWV6oug+q6yPpKWU8pG5TX+WDxxeTVZVjenVSX/ZiSellSL1d56Um9vmllUAaCeit9Ddb66q8N1V8fqr86UH9YBoT6w1y9Qa7+Sq7BsAweDVZy9VfKgFJG2RoAAEdC8AkAANyxlJJSSiqK4sDrvben06mm07GKYkfT6VjT6Y6KYlxddt+elMGfYqwiTTRNU43TRBOfalLdXnnzNX1p89f02pc+o3Ex1U4qNE6FRtNC29OyBGwnlYGenSTtTKVxksZFeZkk06RwpamUkktFkidJyaVCsmSy5MqTJC+UpUJZMZV5kqWJsipgk/lYmU/VL8ZlsKeYqJcm1fVUmU+Up0JZcmXJZW5aSa7VZMrclKU/r2EynfVMWTJZMslzZSmTeS4lU+a5lHK55+Vj3pOqxzLvSSofM/Vk3pMpl+m0pPK21JNZT27ltF7dTllPnuVK89s9JctVZGVwaC+rLvNA0O7fQ3WZ7vNbyTRVpqTMkvIsKc+kPJd6uWnQM+X9TL1ept4gVz7I1Rv21Fvpq7/SV291oN7qUP21oXor/XLafqZeP1dvmKs/LG/3h+X93iBTntMoGwCAqBoJPpnZhyX97yp3Yf6hu//Enuetev57JW1J+ovu/uzSBwoAaI0ycyXJq+CIp6RUFPJdt8vHi/nz0/HO/LWqAhCe/Ibr/R5LhcuLskypKAqlIilNq+ti97XPbxfFVClNVKSpUjFRStNyGp+oKKZyn6hIhQqfqkhTTVNSoakKTyq80FRJRZqqUFJSocJdUyVNPWnqXl6rDAJMzTWVNC6SilMm/cKvqSiSksq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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(figsize=(20,10))\n", "for p,a in isotherms:\n", " ax.semilogx(p/BAR, a/(MICRO*MOL/METER**2))\n", "plt.xlabel('p / bar')\n", "plt.ylabel('N / 1e-6 mol/m²')\n", "plt.legend([f\"{T/KELVIN:g} K\" for T in T_vec]);\n", "plt.xlim(0.05,100);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Binary mixture" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "mix = HelmholtzEnergyFunctional.pcsaft(PcSaftParameters.from_json([\"methanol\", \"ethanol\"], \"../../parameters/pcsaft/rehner2020.json\"))\n", "methanol = HelmholtzEnergyFunctional.pcsaft(PcSaftParameters.from_json([\"methanol\"], \"../../parameters/pcsaft/rehner2020.json\"))\n", "ethanol = HelmholtzEnergyFunctional.pcsaft(PcSaftParameters.from_json([\"ethanol\"], \"../../parameters/pcsaft/rehner2020.json\"))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "potential = ExternalPotential.LJ93(3.0, 100.0, 0.08)\n", "pmin = 0.2*BAR\n", "pmax = 1.8*BAR\n", "solver = DFTSolver().newton(tol=1e-10)\n", "\n", "isotherm_ethanol = Adsorption1D.equilibrium_isotherm(ethanol, 350*KELVIN, SIArray1.linspace(pmin, pmax, 51), Pore1D(Geometry.Cartesian, 15*ANGSTROM, potential), solver=solver)\n", "isotherm_methanol = Adsorption1D.equilibrium_isotherm(methanol, 350*KELVIN, SIArray1.linspace(pmin, pmax, 51), Pore1D(Geometry.Cartesian, 15*ANGSTROM, potential), solver=solver)\n", "isotherm_mix = Adsorption1D.equilibrium_isotherm(mix, 350*KELVIN, SIArray1.linspace(pmin, pmax, 51), Pore1D(Geometry.Cartesian, 15*ANGSTROM, potential), np.array([0.5, 0.5]), solver=solver)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f, ax = plt.subplots(1,2,figsize=(15,5))\n", "ax[0].plot(isotherm_methanol.pressure/BAR, isotherm_methanol.total_adsorption/(MICRO*MOL/METER**2))\n", "ax[0].plot(isotherm_mix.pressure/BAR, isotherm_mix.total_adsorption/(MICRO*MOL/METER**2))\n", "ax[0].plot(isotherm_ethanol.pressure/BAR, isotherm_ethanol.total_adsorption/(MICRO*MOL/METER**2))\n", "ax[0].legend(['$x_{EtOH}=0.0$', '$x_{EtOH}=0.5$', '$x_{EtOH}=1.0$']);\n", "\n", "ax[1].plot(isotherm_mix.pressure/BAR, (isotherm_mix.adsorption/(MICRO*MOL/METER**2)).T)\n", "ax[1].legend(['methanol', 'ethanol']);" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "equilibrium = Adsorption1D.phase_equilibrium(mix, 350*KELVIN, pmin, pmax, Pore1D(Geometry.Cartesian, 15*ANGSTROM, potential), np.array([0.5, 0.5]), solver=solver)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.0, 17.0)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(equilibrium.profiles[1].r/ANGSTROM, (equilibrium.profiles[1].density/(KILO*MOL/METER**3)).T)\n", "plt.legend([\"Methanol\", \"Ethanol\"])\n", "plt.xlim(0,10)\n", "plt.ylim(0,17)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# External potentials" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Lennard-Jones 9-3" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "rho = 3.0e4\n", "potential = ExternalPotential.LJ93(3.0, 90, 0.08)\n", "s = State(func, 350*KELVIN, density=rho*MOL/METER**3)\n", "profile = Pore1D(Geometry.Cartesian, 20*ANGSTROM, potential).initialize(s).solve(solver=solver)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(profile.r / ANGSTROM, (profile.density / (MOL / METER**3))[0] / 5000)\n", "plt.plot(profile.r / ANGSTROM, profile.external_potential[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Double Well" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "potential = ExternalPotential.DoubleWell(3.0, 25, 150, 0.08)\n", "s = State(func, 350*KELVIN, density=rho*MOL/METER**3)\n", "profile = Pore1D(Geometry.Cartesian, 40*ANGSTROM, potential).initialize(s).solve(solver=solver)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(profile.r / ANGSTROM, (profile.density / (MOL / METER**3))[0] / 5000)\n", "plt.plot(profile.r / ANGSTROM, profile.external_potential[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# DFTSolver options" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "|solver|max_iter|tol|\n", "|-|-:|-:|\n", "|Newton (max_iter_gmres=200)|50|1e-11|" ], "text/plain": [ "DFTSolver(\n", " Newton { log: false, max_iter: 50, max_iter_gmres: 200, tol: 1e-11 }\n", ")" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# create a list of solvers that are called consecutively\n", "solver = DFTSolver().newton()\n", "solver" ] } ], "metadata": { "kernelspec": { "display_name": "feos", "language": "python", "name": "feos" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.10" } }, "nbformat": 4, "nbformat_minor": 4 }