From 831279ec646fa39fa1b68acec4c3c97a104d3c9d Mon Sep 17 00:00:00 2001 From: jlarsen Date: Tue, 6 Feb 2024 19:13:43 -0800 Subject: [PATCH] Add animation and VTK example to MODPATH notebook --- notebooks/part1_flopy/10_modpath-demo.ipynb | 762 +++++++++----------- 1 file changed, 322 insertions(+), 440 deletions(-) diff --git a/notebooks/part1_flopy/10_modpath-demo.ipynb b/notebooks/part1_flopy/10_modpath-demo.ipynb index ed43aa3..97bf7f1 100644 --- a/notebooks/part1_flopy/10_modpath-demo.ipynb +++ b/notebooks/part1_flopy/10_modpath-demo.ipynb @@ -1,31 +1,26 @@ { "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 10: MODPATH demonstration" - ] - }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ + "from IPython.display import clear_output, display\n", "import pathlib as pl\n", - "import pandas as pd\n", + "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import geopandas as gpd\n", "from flopy.utils.gridintersect import GridIntersect\n", - "import flopy" + "import flopy\n", + "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Groundwater Modeling and Python Programming\n", + "# Groundwater Modeling and Python Programming\n", "\n", "In this exercise, we will use MODPATH to simulate advective transport with the Freyberg flow model. For this exercise, we will use a quadtree version of the Freyberg model.\n", "\n", @@ -34,20 +29,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "((250.0, 7250.0), (750.0, 6500.0))" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# patch upper left and lower right\n", "xmin, xmax = 250. * 1, 250. * 3\n", @@ -69,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -91,12 +75,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "sim = flopy.mf6.MFSimulation.load(sim_name=name, exe_name=exe_name,\n", - " sim_ws=load_ws, verbosity_level=0)" + " sim_ws=load_ws)" ] }, { @@ -108,20 +92,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "xll:0.0; yll:0.0; rotation:0.0; units:meters; lenuni:2" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "gwf = sim.get_model(name)\n", "gwf.modelgrid" @@ -136,7 +109,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -152,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -168,20 +141,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(True, [])" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sim.run_simulation()" ] @@ -198,20 +160,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(figsize=(5, 9))\n", "mm = flopy.plot.PlotMapView(gwf, layer=0, ax=ax)\n", @@ -234,20 +185,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([1352, 1353, 1459, 1460, 1581, 1582], dtype=object)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "gx = GridIntersect(gwf.modelgrid)\n", "results = gx.intersect(polygon, 'Polygon')\n", @@ -264,7 +204,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -288,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -302,7 +242,8 @@ " weaksourceoption='pass_through',\n", " referencetime=0.,\n", " stoptimeoption='extend',\n", - " particlegroups=pg)" + " particlegroups=pg)\n", + "help(flopy.modpath.Modpath7Sim)" ] }, { @@ -314,48 +255,9 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FloPy is using the following executable to run the model: ../../../../../../software/modflow_exes/mp7\n", - "\n", - "MODPATH Version 7.2.001 \n", - "Program compiled Aug 01 2021 12:57:00 with IFORT compiler (ver. 19.10.3) \n", - " \n", - " \n", - "Run particle tracking simulation ...\n", - "Processing Time Step 1 Period 1. Time = 1.00000E+00 Steady-state flow \n", - "\n", - "Particle Summary:\n", - " 0 particles are pending release.\n", - " 0 particles remain active.\n", - " 0 particles terminated at boundary faces.\n", - " 0 particles terminated at weak sink cells.\n", - " 0 particles terminated at weak source cells.\n", - " 162 particles terminated at strong source/sink cells.\n", - " 0 particles terminated in cells with a specified zone number.\n", - " 0 particles were stranded in inactive or dry cells.\n", - " 0 particles were unreleased.\n", - " 0 particles have an unknown status.\n", - " \n", - "Normal termination. \n" - ] - }, - { - "data": { - "text/plain": [ - "(True, [])" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# write modpath datasets\n", "mp.write_input()\n", @@ -378,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -387,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -403,107 +305,22 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
xyztimekparticleid
0291.6666567041.66650425.1577470.00000000
1292.2652287053.43408224.2591511066.62316900
2296.8715827187.31494118.8675779176.82812510
3298.2957157250.00000017.83786011656.65625020
4327.3801277500.00000017.04131517482.57421920
\n", - "
" - ], - "text/plain": [ - " x y z time k particleid\n", - "0 291.666656 7041.666504 25.157747 0.000000 0 0\n", - "1 292.265228 7053.434082 24.259151 1066.623169 0 0\n", - "2 296.871582 7187.314941 18.867577 9176.828125 1 0\n", - "3 298.295715 7250.000000 17.837860 11656.656250 2 0\n", - "4 327.380127 7500.000000 17.041315 17482.574219 2 0" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "ppth =ws / f\"{name_mp}.mppth\"\n", "p = flopy.utils.PathlineFile(ppth)\n", - "p0 = p.get_alldata()\n", - "pd.DataFrame(p0[0]).head()" + "p0 = p.get_alldata()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "p0" ] }, { @@ -515,20 +332,9 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd8AAALmCAYAAAADnZ6gAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9d3gb55moD9+DMgBJkJSoRlHFkm1Z7j1xS2Kn2E7crULKRY6ze5J8v1xnNz6JT87JKXvk7Fknm/Uv5STft5vNya4dl4hyd2LHsZ3uuPcuW1ZvJCWSaAQwAGa+PwYDzACDQnJIkeJz69JF4J13HgzKzDPP+zTFMAwDQRAEQRAmDd+hPgBBEARBmGmI8hUEQRCESUaUryAIgiBMMqJ8BUEQBGGSEeUrCIIgCJOMKF9BEARBmGRE+QqCIAjCJCPKVxAEQRAmGVG+giAIgjDJiPIVBEEQhElm1Mr3T3/6E5dffjldXV0oisJDDz3k2G4YBhs2bKCrq4umpiYuuOAC3n77bcecTCbD3/zN3zB37lxaWlq44oor2L17t2PO0NAQ69evp729nfb2dtavX8/w8LBjzs6dO7n88stpaWlh7ty5/O3f/i2apo32LQmCIAjCpDJq5ZtMJjnllFP48Y9/7Lr9u9/9Lt/73vf48Y9/zIsvvkhnZycXXngh8Xi8OOemm27iwQcfZOPGjTz99NMkEgkuu+wy8vl8cc61117La6+9xuOPP87jjz/Oa6+9xvr164vb8/k8l156KclkkqeffpqNGzdy//338/Wvf320b0kQBEEQJhdjHADGgw8+WHyu67rR2dlpfOc73ymOpdNpo7293fiXf/kXwzAMY3h42AgGg8bGjRuLc/bs2WP4fD7j8ccfNwzDMN555x0DMJ577rninGeffdYAjPfee88wDMN47LHHDJ/PZ+zZs6c45xe/+IURCoWMaDQ6nrclCIIgCBNKwEtFvm3bNvbv389FF11UHAuFQpx//vk888wzfPnLX+bll18mm8065nR1dXHiiSfyzDPPcPHFF/Pss8/S3t7OWWedVZxz9tln097ezjPPPMPKlSt59tlnOfHEE+nq6irOufjii8lkMrz88st88pOfrDi+TCZDJpMpPtd1ncHBQebMmYOiKF5+FIIgCMI0wjAM4vE4XV1d+HwTHw7lqfLdv38/AAsWLHCML1iwgB07dhTnqKrK7NmzK+ZY++/fv5/58+dXyJ8/f75jTvnrzJ49G1VVi3PK+fa3v80tt9wyhncmCIIgzAR27drF4sWLJ/x1PFW+FuVWpGEYdS3L8jlu88cyx843v/lNvva1rxWfR6NRli5dyr3PLKM5Mv47neceuILTr3503HIsXn7wMk686jeeyHrzoYs56oo/eCILYMvDn2Te5c95Iqvvl+fQdMnrnshKPXYq6Yve90QWgPqblQx8aocnsub+bhlbPj7giawj/zSfl8+KeSIL4PTn2vnDqd4EK37iVZVHj/NEFACXvgsPHRmsOefKrVkeWBKqK2vVzgz3L2xyjK3el+KBBc1c/aFBqDmF5gNFh/s7m1nVP8ID85vNfftHeGBBc0lWn/N51dfsG+H+zvrzVu8fqTi2sbJ6X4oHFnkja9WeFA8sDnsiC2DV7jQPLPFG3qpd3snSU2n2fO07tLa2eiKvHp4q387OTsC0ShcuXFgc7+/vL1qpnZ2daJrG0NCQw/rt7+/n3HPPLc7p6+urkD8wMOCQ8/zzzzu2Dw0Nkc1mKyxii1AoRChUeYI2R3y0tPpH81ZdCYdDnsixy2v2SJ6Xsix5TRFvfj7hcIiwR7L0cAgjUvtCPRrUcAg1onoiKxQOEWzxTlagpb6yGY08f4s3rpdQOIS/vq4ZhTzwNdf+TkNhP76m+p9HKKzga3JerMOqwTVRnUDEj08No/hA1eGamI6qhrkmpgOgqGHHvqGwXiHL/TW9ndcIobAxJWWZ8vDw2LyTZTFZLkhPF7aXL19OZ2cnTz75ZHFM0zT++Mc/FhXrGWecQTAYdMzZt28fb731VnHOOeecQzQa5YUXXijOef7554lGo445b731Fvv27SvOeeKJJwiFQpxxxhlevi1BEA5jDB/0djajaWE0H/QuaK7427ugGUOqIggeMmpzI5FIsGXLluLzbdu28dprr9HR0cHSpUu56aabuPXWW1mxYgUrVqzg1ltvpbm5mWuvvRaA9vZ2/vqv/5qvf/3rzJkzh46ODm6++WZOOukkPvOZzwBw3HHH8dnPfpYvfvGL/OQnPwHgS1/6EpdddhkrV64E4KKLLuL4449n/fr1/NM//RODg4PcfPPNfPGLX6StrW3cH4wgCDMLRdFRdejpG0HRD/XRCIc7o1a+L730kiOS2PKhfv7zn+f222/nG9/4BqlUiq985SsMDQ1x1lln8cQTTzjW0b///e8TCATo7u4mlUrx6U9/mttvvx2/v7Qsevfdd/O3f/u3xajoK664wpFb7Pf7efTRR/nKV77CeeedR1NTE9deey233Xbb6D8FQRBmBIoB6/amHGOqDj37RwgES9efIKYStpSxfV5RlihoYRyMWvlecMEFGIZRdbuiKGzYsIENGzZUnRMOh/nRj37Ej370o6pzOjo6uOuuu2oey9KlS/nVr35V95gFQRAADAU2djkDkdbtTdHb2Uz3BwYh1VTMWczl5p6+EXoLQVX2x9ZzQRgrExLtLAiCMF1QGrR8xdIVvERCCARBmNFYAVfZbCkS3bJ8JeBKmCjE8hUEYUqj6LB2S7bmnGAeenZmas4B0287Lp+vbam53Adc8zX31Z+nVPfmCYchonwFQZjSGD649+jaeb5rtmTpXVo/z7dnR4aNZcUn1u0Zu8+3t4HiGT37R9i4sP68RhS0cPggylcQhBmN+HyFQ4F4MQRBmNHYfb665kePtYjPV5hwxPIVBGHGoBjmMrMdy3ertoCumdZvIz5fsYSF8SDKVxCEGYOhUNXnu27vCNbCs+T5ChONKF9BEGY0ls83CFjGrPh8hYlGvBiCIMxoio0VfKBpYW677WbT1zu/RXy+woQhPydBEARMy1ZV09x8821i5QoTjmLUKtR8mBOLxWhvb+d/briJcHj8vVGzmSDBUO1iAKOVFwjlPJGVywTweyQLIJ8J4AvlPZGlZwKgeiRL86Oo3l05Dc2PEfRGnpL1kQ96c7r5NIW8d22L8WUhF/Cmj2kgp5D1rnU0wTx15QXzoDXwmmoetDKTQ9XNMVU3fz+aFiYcSRbHrPn2x27Pq76mx/MaYarK8lqel7Iy6TQ/vPU7RKPRSemMJz5f4OxVj9DiQaP5v/Su4uyeBz04IpNne1dx8tpHPZH1+r2XsmL1U57IAnj//gtZePWfPZG154FP0HTFK57IGnnkDNKXvOeJLAD10ePov2i7J7LmPrGczecPeCLrmD/M54VzY57IAjjzL+08dbrmiaxPvxzi4RM8EQXAlW9PTpGNioCr+S309CdrF9lY0ECRjdEU4yhr+jBW1u1NVbzPMcvak6J3iXcN63t2pT2T17MrTe9Sb2TpqfpzvESUryAIMxrFqAy48mt+1u1PFgOvQAKuBG8Rn68gCDMaQ4GNC5vJAj41j68tCZgRz5YF3Du/RQKuBE8Ry1cQhBlDtSIb6/aNFJWtnSDQ058szpMiG4JXiPIVBGHGUK3IxsaFzazbV/Lhdm8xCKKRV/P0zm8BcPh/QYpsCONDlK8gCDMaxTAtX0cpyUKpSbvlK5au4CXixRAEYUZj+Xy1QrGN3s7m4vKz+HyFiUIsX0EQpjSKDmu31M6fD+ahZ2emrixVr+7ztRosAMXI5yCwbn8Sw1fy+So6juflx1qupO1ya6HM2IoLMxNRvoIgTGkMn7d5vr2LnT7fnt02n28hH9fK+dU1P0E1j0ZZ7m9ZDnBRlkvu72jyfIWZgyhfQRBmNA6fr83yzap5/LayWZb/V9XNv+IDFsaDeDEEQZjRuPl8NV9hTAs7myzY/ooPWBgP8vMRBEGogqLoYukKE4IsOwuCMGNQDNPHa8cKuLLKTFpjPX0jBIJ+dM2PXmi2YF92dgu4qhaEJQjliPIVBGHGYChUDbiyYxXcWLdvpOj3dQ24KhTgKMqqEoQlCOWI8hUEQShDKViw9mYLVtqRFXglFq0wHsTnKwiCUIbhg94FzY5az1bFK8sCloArYTwohmHM2NTuWCxGe3s7f7fhJsLh+jmC9dAyQYKh2sUARkM2EyQQynkiK5cJ4PdIFkA+E8AXynsiS88EzC7nXsjS/CiqdyaJofkxgt7IU7I+8kFvTjefppCvnfo6OnlZyAUUT2QFcgrZ8bfHLhLMU1deMA9aA6+p5iubr7s1ZLfGVN1UtoYPAmk/vsLv1Npm7WcvvNGIfNdja2CeYphL517IahQvZXktz0tZmXSaH976HaLRKG1tbd4IrYEsOwPnrHqYltbxf4N/7l3DeT0PeHBEJk/3rua07l96IuuVTZezYvVTnsgCeP/+C1l49Z89kbXngU/QdMUrnsgaeeQM0pe854ksAPXR49h/4U5PZM1/8gg2nz/giaxj/jCf586JeyIL4KPPtPHE6d7cOF74sspDx3ujyAGuesdg01G17zTWfjjOIhtlTezX7U3R29lMz/6Rol+3+0OdkJqq8P0Co/YDux5bA8U4evaPVPin3Vi3b6TiPY2VdXtTFZ/ZeOjZnaJ3SdgbWbvSnsnSU/XneIkoX0EQhDKUQsENK7IZKEY+B9W8w/cLSDqSMGrEayEIglCGUSi4oRV8v70LmskXlpzLfb9SeEMYC2L5CoIwY6ia57u3cqxn/0gx6hmcJSctC7inr2D5GtDTlzT/Fqzh4muKNSy4IMpXEIQZQ9U83yo+X8e8gv933f4kfs1ftHzB5vMdcPf5CkI5onwFQRAaQCn4da3cX7/mZ+2H4I/Ycn9nbO6IMFrEQyEIgtAAVu6v5sNsuKCFue22mzEU0BTx+QqjQ34qgiAIo0DRIRxJoqppbr75NgIZv1i8wqiRZWdBEKY0ig7dH9bOQQ7moWdnpq4sVa8MuFKM6gFXFWOFkpNZIKjm8YWSkPHj1/ys6yssPxeCsKyCGGYwVmWzhXIr2e013Y5/3b76taLlZmDqI8pXEIQpjeGjsSIbRzRQZGN7ZZEN13k1mi309JUCr1DAp+bRNVMBZ9V8w0FYYynG0UghDqivxIVDjyhfQRCEBrDSjlRb4JVGyQq2FPC6vmTJ4pUgLKEK4vMVBEFoAHvAVfHv/BY2draQhWLdZ8tGlwYMQi3E8hUEQShDMSp9q5bPt9wCBop+YD9mBSxdCxOOJB1+YHtTBCnGIYjyFQRBKMNQcPf52vyt9qYLPX2mD3ddn1mAAyhWwXJtxCDFOGY8onwFQRDGgGKzfFXDVKhWCUorChooFuCwW7viBxbEGyEIgjAGDF9lYwVNgY0LzLFsVkW3laG0CnGIH1gAUAzDmLH3YLFYjPb2dv5uw1cJh+unKdQjm1EJhrzpiQqgZYKeyctmgvhDOU9kAeQzAXyhvCey9EzA7HLuhSzNj6J65zwzND9G0CN5WR960JvTzacp5Gpn34wKfxZyAW968AZyCtkGGts3SjAPWh15bnmzbqj5sTe2L29kb59jvb6qm9WuwLSGdc2PT82jFaKf7du0so9bNeofW6PN46dqw3qv5XkpK5NO88Nbv0M0GqWtrc0boTWQZWfg/NUP0tI6/m/wdxt7+FjPfR4ckcmfe9dwRvcjnsh6cdOVrFzzhCeyAN6772IWXf0nT2TteuB8Wq58yRNZiYc/QvqS9zyRBaA+ehz7L9zpiaz5Tx7B25846Ims4/44l6fP8i6X87znWvj1qd7cAH321QAPHOfd1frqd3U2LVM9kdW9TRtznm856/aNVPpt+0q+3HV9Sfzg7vN1y/N18QNXHFcDucDmcYzUPf5GWbdvpKLxxLjk7U2xcZE38tbtSTX0fTaCnvLm5rNRRPkKgiB4hGI4I6CtBgzFqGfx+QoFRPkKgiB4hKE42wzqWhgAXyiJhnObMLMR5SsIgjABKIbZgEHX/PgMc/lZECxE+QqCIIwBe6qRhWpUL7wRVPPO1KTyIhuyFD2jEOUrCIIwBqxyk3YchTf6nYU3skDvvBpFNgZkKXomIcpXEATBI+wBV5Z1awVeBSkpWLFyBUn1FgRB8AjDVkjDKqph+Xoty7d3XosjX1iYmYjlKwjCjEExzBzeejTStN5qtOAYq2H5+jU/a7eCP1JKO6pottBX6Qe2Fw9xe003xLKe+ojyFQRhxmAoeFtko0Gfr9XvF0qBWL3zWhy+30YKb4ymyIYwtRHlKwiC4BHVfL5W1LOF5f+VZgszF/H5CoIgeISbz1dTYGOh0YKFZfk6mi2IH3hGIZavIAjCGFDq+HwtK9hqNxgI+tEKFa/cLF+33N9yP7BYx4cPonwFQRDGgNVS0I69sUJxrD9J77wWureVumM5fL61cn/L/MCSC3z4IMpXEARhAlHqWb6S+zsjEZ+vIAjCBGIoppVb1ecrub8zElG+giAIk4Bh+LjttpvRFETRCiiGYczYxY5YLEZ7ezv/a8NXCYdD45anZVSCIc2DI7PL86YXSjYTJBDKeSILIJcJ4At503xdzwRQVG9k5TU/iqrXn9gghubHCHokL+tDD3pzuimaQj7o3RXcnzXIBbyRF8gpZP315zVKMA+aR/LUPGgNmByqXn+e2xxVB63sY1QNcyyQMZedwxFzmVlTStvs89z2dTz36PgbxUtZXsvzUlYmneaHt36HaDRKW1ubN0JrID5f4MI19xJpHf83+NgvruUz1/R6cEQmT/5iHWf3POiJrGd7V3Hi2l97IgvgjXsvYemqP3gia8f9n6T1yhc9kRV9+KNkL3nHE1kA/kdPYO+FuzyR1fnkUl7/2JAnsk768xx+f2baE1kAF7wY5lcneXNjcOkbCvev9E77rtqcp3fp+G+OAXp2ZNi4qH6RjXV7UvR21i5mYS+oURybhICr8jmux+ZSsGOs9PQn634Wo5K3f6RuAZNGWbdvhI1d9b/PRtBTk7scIcpXEARhApGAK8EN8fkKgiBMIBJwJbghlq8gCMIYUPQqRTFsRTaMgl+3Ecu3apGNfimycTgiylcQBGEM1CuyYfl6Lb9uQz7feXUaK0iRjcMGUb6CIAgeUdFYoWDdrutP4hefr2BDfL6CIAgeUdFYYV6L2dGoLFcqC/TOFZ/vTEYsX0EQZgyKYaYR1UPVzZSYunP6qvtoLas2COiAT83jCyXJGgXL90CyGAltn19+vHafb3mjhVrvU5jaiPIVBGHGYCg0lBe6bm+qbtN61zzf/kof7rr+JH5K1i6Yitd6XNz3QKXPt+I1G83zFd/wlEeUryAIgke4WbKW5WtZu9Y8YWYjPl9BEASPMGw+XE0xLd1M0rS0Lcu3d674dwVRvoIgCBOKYfjQtLAoXMGBLDsLgiCMgfJgKKCyaMaBJAHVj0/Ng1FadlZtj+3yhJmDKF9BEIQxYC0x26komjG3he7tOiE11VDAlTBzEOUrCILgEeUBV+sGzOIaIAFXghNRvoIgCB5hKCXrdt1A0lFco9zyFWY2imEYM/YeLBaL0d7ezv/a8FXC4fH3C9UyKmpI8+DISvKCoaxHsoIEQjlPZAHkMgH8obwnsvKZAIrqkSzNj6Lq9Sc2iKH50YPeyFOyPvIe3e76spALeBfBE8gpZD1qwRvM45ksS55WR56i01BAU6PN193mlb+GvdG9vYmCNaYaoGumvzeLafnat2llx+s2VnFcDcwZzbxGUA3vGtZD49/BZMvKpNP88NbvEI1GaWtr80ZoDcTyBS5fu5FI6/i/wQfvWc+l197twRGZ/Oqe6zl/3SZPZP1+Yw+ndf/SE1kAr2y6giNW/c4TWdvu/zStV77oiazowx8lfcl7nsgCCD56HDs/vdcTWYufWswrHxv2RNapf57NU6d7d6P36ZdDPHS8N1frq94x2HRU0BNZAGs/zNK7NFxzTs+ONBsXNVA8Y0+qocbwrgU0+sqaHJQX1Jjb4vDldm/XCQY1ssDGuRF6DibonRMx5x9MuBfZmFunyEYDc4rz6hTsaJSeA40V9mhYXn+ybgGThmX1jTT0fTaCnprc5B9RvoIgCGOgoqDGgWTRz2soEAiaVq8PU9mqhvnX2leY2YjyFaY0mgYMRtAPtpJPNJOPhyEVhGwQcj5Kqeolqy304AmAgd6SId8ZRz+yHyKH4OCFwxp7tLNl+Vp+Xk0Lg5oGCr7eOZWWrzCzEeUrTCqaBvF3lxPf3oWebMFSnrFN59bYSwEMl+fl49ZWBVDwJ5vwf9gEH86vmGOgY4Sz5OclyB91EGZ7t4QrTH+UGk0T7P7dcsvXKiUJOHy9PQcTpqVcULqS5yuI8hU8R9Mg9vbRxDZ3gd6E3SodG4btrwHo5tUxkINwDn9Ew9eawt+eJPXqCnJz4vgGmlH0AEqVIm4KPpR0CN+uEMFdc1xe0cBQNZScDzRAHedbEKYVVmtAO5aP18rltaxdKPhF50To3pEnGDRv5Nx8vUVZVcaEmYMoX2FMGAYMvHwM8fe7wAgxOgVrAFlojzP3uJ0cfPVEzwKuUm8Y5M7dXX1Cf5jA1rn4+ptQ8sEayllB0cwI+OW/XWI7coNsOEf0iDiJZUkp0DqDsHy8qv2vrWLVugMJ/JafN5QkaJQsXkEoR5Sv0BCaBm8+/En0VMlKjG8+ssYeOqDhnzfM3FO20jI/VnXmwVdP9O5A6zE/TW5+DeV8QMX/4Xz8/U0ouUrlrKCgpoPM29zBvM0dxXEDg3SrxuCKYbQFsoR9OGL5eB2RzQXr1W7xWth9vYJQjihfoSqaBq/fdzHkWqvM0EFJoXYdZP5pW1DbDgOlM1cjP3c3VtZxMdVIg7btEdq2RQjogYJfuYSCQlM8xKJXFjjGdXRS89L0H3twkt6AcCiwmicA+EJJUbpCXUT5Cg60hMrrD34GDLfcuRydp7/CkhN3eprnOy1QIXZMgtgxZRfUBMzdPIfm/hB+KitB+PDRMtDM8gHz8zzr97PJYbB72Qh9yw+Dm5VJQNHNPN5aqLqZw1u+n+GrnNezf6RynkvBC3twVXFsoJRO5Nf8rN1uoCg6QVUzmycAWcOZWmRPMXLIdxurU/mqkTkgwVvTAVG+AonBCO/+6pOAW5WvLEdd8CwdS/sn+7CmBxE4cEalVavuV5nz7izUdBBf2dJ1AIVl21tYtt0M1sljcHBBhm1HpySwywVDgd4ldYps7EqzsctZZGPd3sqCGo0Uz4DK4CqoTCeyCLWUlL4VZAWloKqegwk2dTiDq7oH3QOuyueV47afG2J1T31E+c5Q4n3tvPebT+L+E9A49rN/pHV+dMJeX9Mgs3ceiZ2LMLQA8adOAh2MnGJebQ0Kf32l5yilPA6seQWzpBgQ7Sf4u+VkVwzAkkN3AdI6NfZ1Om9YFj+1mJFAjtZUAJ9t2dqPwvy+MPP7TAVjYBBrzfLeyUlRxocIe3DVuv5kMbWoe7tebJRgBVZlDTOdyJ5WBCXrVqxQwQ1RvjOIgzvms/WP54HL8ii+FMdd/iSR9vEthWoapPfMJ7mri8yBNvRMuKAga0dDG4OtdeY0fgXzR1vwv9QCL9n3NjACefS5CXLH9h+yvN73zrbdEGhw9FvNzI6qDmWsoNAeVznrL6bmNTAYCef54Lg4mVmTfMAzFKtBgr1ohq6mCQZty8vgLBdZZuV2D5qPuwfFChUqEeU7A3jy9lVAiK1//IRzQzDJKVc8idrSeMOFRFRly5OfJJ9W2XrPxTSeYuReEMNZLGO0JoLbfB8GhmtAlJIL4Ns/i8D+WWVSDIymDNlFMYyV/ZNnbaqw5fQRoOCD1GD5libm9IXwlynjlnSAU1+dbTtms4CSVns1dsagGOYysx03/65aKJ5R4ct18e/arVwoFc3wUWnlKjb/rqVslcJj+1jxOFx8vmIhzyxE+R7G7PlwIe/8+ULHmNI8zMlXPIU6CgWz991F7Hnxo1RazPUsVQN8Ov6WJK1Hb6fjuH2uM71urJCxN1ZIAK8uRj3YimL4KpQyFBRzKkxoSxi2VFbDan+3jehRsYlXyipsOz7FtuNLSmTxByEW7G4iUHEzARe+YR7QzvYsb66c2VduQ4GNC53+3XX7qvt3K5oilBXNsJoiWFautbxsL5pRzZc7njFh5iDK9zDlyduvwbw3BzDwhzRO72m8q9H7vz+d6K7luCtY01pV5/Ux66TNRDpHXOZMESLAx3fjusi8J4D/9eX4M0FTAVe5mejY3k7H9nbAtJJzoRyDK4YYWZKZsMO22L0iw+4VpdeZv0Nl0dYmVFsQ19JokKUvQA6DvxyfJSF1rKuiFKzc8tKQ6/rN5eXu7TqG4XNGLxf2tSxd8eUKXiDK9zDj7eePZ++7ZxafR2bt4ZyrfsvvN/bU3G9gewfb/3QuUGUdU8lx3IVPEek0785f2XQFiy981avDPjQsypFf9AGunYRfmkdwz1z8utPaV1AIZoIseGs+vGWOGRhkWjQOHjeMNm9ifcn9R2j0H6Fx6p9n8/KRGh99P1i0igMonP+OaQ33t+R48QTv+hofLpQXygBn0/tQSwpNAV9BsdaKXhZLVRgPimEYM/b+LRaL0d7ezoZbvko47JZmMzoy6SChcLb+xIblqaihxi/mmXQYu6WqhlPFZ5mMSjBkHpthKOS0YGUSZAUGwbC7dZfNBPGHXNVWQxg6GLoPw1Ag7zOvdor5mmB7G5Z5oZTGay1257WA6djzCs2HHjRfW8kp+PTR1anWA3rxY1Y0hZxHbW79WcgFSscSzFWvdJn1gV7nqw7kFLJ1GtY3SjAPWgOy3PJw3VDz9RumuzVVV/Xqze6tv4pBUfFaPl1rnuXX1Wx+YGsfuyzHe7L5jYvHMYp52To/L7f93Ai6vOZYcTv+qSJPNer/Nholk07zw1u/QzQapa2tzRuhNRDLF7hq7S9obR3/N3jvPTew6to7PTgik/vvXs+l195dd56uw0O3/xWWWmpq6eNztiXmfbvm8OyTV5NN17oiGvjVEU64+NdEZtdWqolomDcfvZSmhX1khpvJJVswcoHCFb5+ZLNJWQBWTaXm3GbUCMxSADJ+M4gqmCO9cgD96LGnTDU9tpKtn3L3VZODBS/PJjIUrrps7cs5f1fDzVnePTY9bv/x2c+28ujJlTcZkQRc8L6CajuWoA7oMKzq/O4YXF/7ktf93L/SG+27anOeTcvrv8HubRq9S+tHjPXsqMzhLWfd3lRFg3Z7Tq8jb3duS3F5WS20/bMUb60c3XI/bfdggk2z66/xdw81Nq9nKMGmWd74DNYON/aajdA9lCiuEnhBz4HKvOoxyxrwTpae8ujus0FE+U5zEoMRnnhoXfH5ylP/wAmnbwEgpwX49b1XkM10lO1lgJJl+dnPsXBFFcUC5HKw4/WV9L93PEY+SLkSTGxbgnsUc+2Wf8VjaJjRL84oKCjZIM1vdcFbXcVxPZAju2yQ7DEHxx9AFYC+s4boKxue/+IsWg82uSrk+dEg8583zd+sYvDBkSMMdHlnqSci8KvTzWC3Uz+EI6Ml5T9L87HqLfPm5fUug62dnr3slMTy74KzOpUVTKVpYYdf1y1Htzx6WRC8QpTvNObtl09g8+vnFJ9f1P1zIhENXYc3XzibD9+xNywwOPeGTVVlDe3rYOtzHyETb6PxVj229CBFB7+OP5RBbY/TvGCQ0PxBgm2JupHVW+77jGfRzsMPn0Xyo9tpen4JPi1Yofx8uQChLfMJ2aKaDV+e7OIo2ol9nkQ0939kmH6GHWNzX25n9oDTEgkaCsd/2AIfms/j4TxvHT+C5pGR8dpR8Bo6qgaffguaCt+rgsKpexVO3QsjPp0njvfm9aYa9raAPf0li9eKYvaFkmCU8nXtlq09R9c+JgheIcp3mvLLe1aTTVt5nzlW/dXtALz/5km8+8oZ5POlr/aoE59l55bTABgZCbD1Lx8ltq8L12IbFRig6MxevIOjznuxqEif33Q1R67+rWfvx1PmaKQu+dA5ti1C81sLUfL+yhxg3Y+6swN1p61LkaKTWxD37JAOnBGl5bctPHt2AhLwkbfCNGWdDRpa037OecVsYqFjsLdT48MV4w/g0lT49emm1ON2w8p+pVjUo1n3cVUhcGzRcJ49syZ36W2ysRog+EJJCZoSDimifKcZuZyPR35+I5Z16lejXHn9veRyPp56YC0jyYhjlfaiKzfy28cuIp8N88zPa0c8g07L3AOs+MRfaI54cNHXQItGyA61k421kIk3kU82k8+o6NlCwFfBTxzbdA6OA1cM2yq3LRjLZ5Se+wxznk83//vzKFkfaFRasMsTjCz/wDHkf2cWoS0L8LlEIymGj+B+M71oxeOLANAVncS8NH3HD1UNCm+ICLx4dqlRQMduOGFbi6MGtA+FxftDLN5vBgJqfp23VyaJzamQNireXQzvLjZAM7joLYjYXvOCvcDePC/Ng83zppcSVnTo6SsrqFG27LxuIIlfNfvtUlhOVgqlIa3HljJWjepjxdeUZWhhHIjynUYM9M3hz49eXXy+dOUrnHneK+RyPp68vwcto9pCIQ1W/dXPeODfvkClhWugRmIcec5f6FhY27rTNBjcfgR7311BOtpekGW+xgd3f67OEZeOxf15+VybRVqt4FXVWLCS7MhjxwGgK3lGztkO891vJPLHDzNy/HBpQAP1zXkEd81xD54yfLT1N9PWXwrs0RWDxNwUfccOwRiXiwcXw58XlzrVnPqSSltKdRyDmvdx2juthXdYCDnTadxDUI4KTxSs4aP2wSn7Sr+RMwfgzIE8myPw0tLpoYQNH+4FNQqFNKw8XossVA2kqjlmC2LqHhKrWRg7onynCa89ewZb3z2t+PxTV25i1pwYuZyPJ+7rIT0SpqRk81x2/b/zwL/9h+J8f1DjrGserJCraTC8exF73jqO1PAszKu5V3kFRtlju2VrWqs+fw5dC0NIszVTsDVXMCc78ytccy3KFTz4DD+RZ44qbDXIzo+inbmvul9XBe2MAbQzBopDTY+tJN6eon2guYpCVmgbaKZtwKaQMUh2pNh/wtgU8mtnalAoCxIZhFPfbna0K7TCuFa95iOj6Dx6AuPyVX+4EFb2w7OdcP6ekj5fmYCV7+TZHYY/Hjk9lLAdqzkCVKYTWdauNU8QJhtRvlMcXYdf3bOWnNZujXDZ9f+GqprRzE880E16pAlL6YSaDnLK2c/xq7ssxWtwUffPeOLev+KZn6/Gbrk2jnl1CoRSdCzdztKTNvPqY5d65vM1A65e9kTW8MNnkfzc+/g2t9P07sKiwlRQUPtnoT42CwA9kGXk3J3QUX95feCMYQbsAVQazHtrFu39VRQyCq2DzbT+2amQUUZ/U5PogKc/XlpOPfbNAPOHw8XXDRlmBLOOwVPHGOOqbrW33c8v2qE9keezO0sXh8VpuO6dPHEfPHIkoE4PRWw1RwAzwjnUkqoaXCUIk40o3ymMYSg8dPtfU1KWKVb9lZn3m9MC/Ob+bjKp0gX+qBOfZWDvAl74/aWFEZ1jT/0zT2yyFHG1NUozqCoUidO58l3mHb1zVLWfpyL6yijJlYX83qhK85+PwJcr/dx9uSCRP9ms4kVDaB8pTxqqggoDp1cq5LlvtTOrv6WqQsaA8/9sLh0PtGZ55/jR5/u+d1KO90hw9rOtZNGJFPKIfShc9L6CgcErSwx2zBudXDvRiJ/e40HV8lyxpdTluVWH67ZAjjyPLoVExF0JK7qZw1sPNW/m8NadpzubJrgV57AaJoCzCIbVeD5QaJBgWbxqDV9utTHFcC41q4aZm1uPYIPzxAKfWYjynaKkUypaphTVs2DRu5x38V8A0LQAT97XQyZdKjxw0ZUbeeLhq7AigdTQMHkjx3uvnV+cE5m/h+VnvE7rvNFH8SaiYQa2HMHQriVkkhGMvMoHd19E/aIajVl7sU3njvqYqr1a00NHmdHOlmJr1xi5rBBspUHo+SUEDrY4reI9Hah7zGhnXc0ycnZjVnERFQ6cHuUAtoIeGsx9r432fS34yrTFvHiQ8wv5vtGmHK+dnBq1In7iZACdszbDomQpjeiMXQpn7IIt7TpvHDU6mXY01c99xwNanku2gBVbHwCu3AmQ5/n5sGWuUwkbPug9on7FuJ7tGXqXNFBkY5ezyMaoCmoUWv5178gTUlNFX29FWlFZQYpGCmM0WhSje7jxecLMQZTvFETT4IF7biw+/+inHmbxsoHCtgC/2XQNWc26uFmBVSULednKl9i++TQsH/CsuTtIJhZw8mefRtOgb9s8Dn54NPGDHeQzdl9xI0rUsD32UzuI6tDgRyXy2HEYGGjzh8meu7+0UYXMx3dhFc1UPmij+e0uh7Xq00pWMcCy3y7g4NFR4kfUt9IcqHDg5BgHTo4BcMRvuxho1+g64Aymak8FOP950yJOqnlePWWE/CiiqZ9fCaBz1C44eaBU2OPoqI+jX4EDIZ0/nTC6Q3e+Dz+PFXKBP7o1zwrbx3BWP5zVn2dnE/x5+aFbjq5aUGNHvtgoAdwtX7E4hUOBKN8pyH13fqn4+LLr/29xCVjLqPzq7mspfW15Lrjqbkdg1ccu+TlPP7YeSyme+8lf8czvLwUUl1SjRhSntU0HX55g0wjt8/s4uOtIFpz3CoHmDP6mBGrt6n818bTIxkNnoecM/LqZQxvqn03oodkYGCQ/uhW6nNassSJGcoWpHElA8x+Pxpd1FmAOZgN0vjuHzncL+2CQD+gMLY0zvCw5Kot1y3EaWwrBVEu3BFm2L+RQxC2an4+9aCrijF/n1ZOTZBr04364BD5cYtAxaHD+9pISnpvxseoVSPl0fn084wrOeuFIPy8AXdE8n9hTum1bmjL9wikYewT2OHArqLFuIOlayUqKZwhTAVG+U4x7fvbFwiODUDhdpnhLSjXUdJAjVm7mDw/dUJx/6nlP8PRjpednXvAAz/x+tU26lSObJ9icZPbCvXQeu41Ix+gvPs9vWkbr4oOjf4MTjQKpKwpLzPtVWp47sljmMfKCac3q5Bm55P1KJRSBkUvN0pxooL7cido3m3IUFAI5P/O2zmLe1lnF8bxPJ7ooycEVjfX+3Xl0lp1Hm80uOnf4OWZnk0MRh/I+zn7VVMRZxeCt4xIN5fkOdsCDHQYkDK56n2L+cJNuBmflMfitB8FZG9tNv/AlW0pB3U0AOtywNcMf5insbB1/8IBiOH2+agM5vT0HkgTNQylij3KuyN8dqvTvCsJEIsp3CnHPz/4DlnJds/6n/PLe9QBoaZVf3XNDcd5RJzzH9vdX8P5rBT+potHUPMBrf7m4MCNPa8dOXvrD6uLzYDjLR7ofHvcxakk/iWgzel5h8IP5GFk/ejZINh1Ez/oxckGMrJ9MKmB2K8oXGi7oPvN50Uds/x8ktumjZa9UfvVze+52hbSZXZ0ayaveA8D//FzC++aioODDX8wF1triaJ/aXSlGBe2c/fgfay81VtBg3rvttO1vrvDhAvh1Hx27WunY1Voc0xWD+LwR+k8cdjnWEvuPyLP/CFMBzN0Nx2+LOBRx0FCKeb55jLpdigCIwEOFXN7LX4GgVZjFFpz1wlKDPXMbkFUFTfXzUGFJ+oL38yzKmY99wKcGDBjIsDcITywZe9cwQ4GNC0s+3nX7Rmrm9FrNE9YNJIuWuSPKuQH/ruTwChONKN8pwj0/+wKW4liz/l+LFm8yofKbTSXFawZWrcVa8OuYv4PB/kWkkmYVpkj7XhLRecQHlwMwa942hgcWkU03UuGqEUoK4eALZ9aYV41qJoU3P0UFiDxk+nuTx+yE400LKX/WAZIcAA3CTxxJIGcqAzXWimrNP2E3rKhx0VVh4JQoA6c4g6pmb4kwe3crfheN6DMU2vtbaP+dqRg+/ucI76xMcHB+xdQiBxbDnxabxzFrH5y0JVIsBwmm8vTrsOoVHx/M0nnzyPqfyy8LSviiNyhGSCsonLVTgZ2Q9yC1+w/HmL/J7nfz+I3SbVBXFm7cmiEHPNapMNjsfSi9PafXzfK1W7yCMBUQ5TsFuOdn12JeHuCKnjuKilfXFZviNbjs+p/xq7tKgVWnfPxXvP7nS4vPTz7vUd74yyXF5+deeD/PPLmKykCqRny85c/N8o3+QBa/OoKWmEdowT6UQA4lmCMQypp/A1l84Ry+YBp/ENRmzbwKFwJe3FKYvPT5RjedUwgJU4i8fwS8D3nypKxlZhXSl201Jw9C859W4sNnzn97CbwNOjojn9gM5c2g3FBh6PgEQ8c7lXbbtibmbG3Hn/U5g7lQOHFzK2w2LdjXTkyQqFzZLjK8EP680JQdGYJT327Bb7O6Vwz7WPEKbGvTefXo+odrRUif/R50jZTk+A3TZ9unwlNHjy9wKueDu48IEdA0rtptYNmUAeCK/QaQ4f3xlOd0wVBwWr5zInTvyBMMmr87u69XEKYConwPMYmECoXL0wUX30ckUmpen9WsK1SeVX/177aI5nJFbD3/q+JzMwLaeq4TDGueLDtbPL/papZ++g3P5HmFEdJJfu59SEDTU8fgL/yLPHYcyXn9GOfZ/NQdMHLVZgCUNzto/nB+YVnaR+RPx5EPamMu9hVbniK2POUYO+o3i1AMo6iM/Sic8Za5lPzuUUn667QWTMyGpz9mWnfn/qXV7NNbYHnMx/JX4PdH6ww10Af8uWMBdI7eCScdKAVnLdBMJexFVaucqnJfwSo/c0+GEzKlj/OYQsT01TvTPNjpc78rGydWE4XbbruZb9xyi+fyBWE8KIZhzNiFmFgsRnt7O7fc8lXC4bH7pCwymSChUHZU+6RSIawFuqamVNm2Jse49TwcTqEotuehFIqv+vymphTRaABNG3+zBAtVVT2T56Ws5tZmjKBTiSma0/rU1aoFogHwae5Kx1AM8gFjzApZ0RTyAXPnYM5dTM7qNVEHf04h6we/bhZxcBwnkBml3gzm3Xtc5RTzmEYrq8pHiM+AUJV7jIwCusuHouqg+cqel81TjdKY9TiQMZsoaEppzD7PbV/7WLbO9xwstCOsR62u1g551Jc3KlkeVYkNunw+48Ht854KsjLpND/89neIRqO0tTVwBztOxPIFruneSGvr+PMjfn73em647s5R7fOT/2tGN594wkucd84rxfFEQuXujTcCBtcXZP70/5opSOuvL3u+3vm8NP+LgML1193J939wHbfddtuY3pcbN998s2fyvJT1P2/9H+y/cGflht1+ul5fCpjKeN+l22vKaXm1g/a97Y4xxVAI2K5oBgbROSn2nBhvKLp5xe8X8NQZtpsMDT75ZoAmm3YL6IAOry/T2LOguqxPvRTioeNLx7LmLYOA1VoZCOfhyWVwsLWxK9NV7xjcfVSQ0/dmOdG2MhswIJCH3y2A3e3B6gJsrP0wS+/S2uvKEU1jzR6nFg4VYuieafezua30ga7bk6K3sxRw1eMWcFVILwLT32stO4dU80Y0C2yaHakaXFU+1kgBje6hBPe2ttacMxrWxuPcG6ktb22i/hyAtck4mzw6trXxeN2CI6OheyhR/K7GS8+BUqDdeNFTk5unLsr3kGNeHO2KF+BPT3+s8Mi8onpotM5MFufZu3gbCx9dhoJC16PL2XvGNuh0n548bZDkaYPMf+IIYm1pZh90pgGB6VeedbCZWX8sKQYDg6G5Kfad0IBCVuH3Z+RAg0+9GSBsU8KnbFc5ZXt9JWxx34kKy/cbnFXqCcGF2yHqN/j18Y2bBq90BXkFuGRrlrm50vin+iDfl+X+ZZBWG1PCtUioKilfmo3z/Fzel8cecH1uNM+50RRvNft4cU5jK1KKrZSkakDPwUSxpCQUAq6GJOBKmDqI8j2E1FKou3YvA2Bhp2nFvfraKYUtcvUYD/su3c6CR5fix0/Xy8tJtMSIXVAjX1mBfafH2YetJKcG8z5sZu6eyrKRCgodB5rpsClkHYPhec68VAcq/M5Swm8ECOfHpoS3dSps64TVbxnFpej2PKx70+C3R8BAW+NK+LEjTQXb8362WNvZD3Rvh2FflkeOHr8CBkBV+eUS8+EZgxlOTpas4RNHdE4cMS3XE2Iab7dVv5uxN1HoOZBkU0eEtTvdLV9BmAqI8j2E/Pb3nyo8yrlsNb+aCy54AoDN751UGDevqoOD3i0DzTT6Lt1J5OnZtEVnEUm20fRoC32XuixVV0OFgeNGGDjOqVBnfRiic3sbPl2hPMK5Y8BUDJ9+3s9vz6ric1bhd2eaSvjTbwQIjVEJ3+9iBX96B8T9Bo+OwgoG6D0mCIks1+8tpQ7N0uGG97O8Pgten++REgZe7gjxcgccHdM4L5p3FMr6SCLHRxLmeWIA1/YlHelRapnlu3ZnKdIZSpavW0ENKbIhHApE+R5Cdu4yQ0GXHfFB1TmRgo7NaGbw1OzZBwB4622nMhZGR+JjQyT2D9H18nL8+Fn46DL2Xbh9XKUXh4/KMHzUgGOsZY9K1/ttBHNm0FcIP5c87+fdTo1tR1QRpMJvLSX8eoCQXqmEs3VCFNys4NaCFfyHJbB/1iiUcCTIXcfA7HiWy/aVAsVOGYaThrM8tBQSYe+U8JY2lS1tgKZxZV++IuNLofA1Fd7XMOBTKDZRWHcgQTCoFUtKwth8voIwkRyCKqxCCfPj/+T5f3aMRmNuhZLNS94nPv4nAHbsMItoKEq5FSXKuGE6Ye+l2zAw03+6nlwOu7xNeUku0vjgkwd458J+RwTwcftVPvd8EGr58lX47UdyPHaahuZzBicFdVjzpgFa7e/7/hMVni9rL3jBLrjs7dH/ToZag9x5TJB9to/IB6zaCau2jC7KvyFUlYeXNJHywe0Lm/lte4Cky7RZmMFaNx5IcOOBBGEgEDAtZ+uoxOcrTDVE+U4BylMcf/no5VXnzp8/CEA6bfoUW1pq3aF7mB9wGLPv0u3kCkv/XW8souOJGuWnxoMCj52lMaRmC08VLnlV5bxX6pyGKjzlooQDwLrNsORgbY2yrVNh40mKI/UkoptWcNfQ6LXRk8uC/PyYIPbbvkhhKfqsPROghAvsala5d2EzKQVun9/C0y1BV2UMoCjmrz8E/LlFRVNMy9eQU0KYIsiy8yHi2edPLTyqTHpMJmcBoCi1ii4U2sYdZRaJMIt1NJoFKJTTf+kuIi+00TYwh3C2hc5Hj2D/pTsm5LWePc0ATeNzrwZRUGjPBrjkeXhumcZgLX9uQQmjwSWvlqKAz9sLyT6DX9bx57r5gj+xG5J7x5a7fPcxQWYnsly2t7T7yoI2/Py2NOl69xS6mUZUj/JGClbLQMBspEEp3zNoFPKVjZICvihhLi+sH0xg4O7zLV9mDhr1++t6rccVYG2i9msGG5hjyRKmNqJ8DxFvvHkGAB2zXYr6FwiHzWpXb7+90mWreXodd5zZ52779iMwFW/tKklCdRIfjZGIxuh6ejk+fCx8dBmGD8gA46/B4kSFX5+V5YjtcEKfufRx9naV/HaD35yWre17ViHthz0tcFShG2JLwZ/7q+WQiFS/9Lr5glsKP5kLdmf5w+LR+W6HIkHuPAaO689y5nDpoq8ATbr5i3yt1cfrHZVvqGdX2tEwoRrljRTsTRSKY4WSkmD6fP05P7qaR6fQaYnSMp9qwEMRlURhycktp7d7OMGm9tp5st3D8ZrbR4uBwv2h2q+5OhOvOwdgtRbz6rCECUKU7yHDdAB+7uLfOUZff+P4ipmvv3Fq4VGlVRuJmHf1O3ceASgEg5mKOcIoaDf9wJ2PHoEPHz5d4cQ/dWJUWVGwxg0MsuiMzElzYHESrcGV6x3LYMcyjU+/6Cek+/EXlqL3tmu8dmztfV88QuF1zWDV5tLYZdtgd5PB00fXt4KP2mfwkQOlsaUj5tLxlgg80zU6Jfzu/CDvzoelg1kusMlUgNPiOqfF04wAjy30FZWelyiF3F6g2FAhgGkNpzB9wpby9QOrExqgsc86SEGYZET5HmIs5Wnx/IvnFB6VPGrJpFnqTFXTVeUcODgXMGhri1adIzTO/kt30PxmG7N2zkFHL6YOuRXasP6G8RM6GKDjYGtVZU0CcMkS++1H8qjDeT692VyK7oqqLHze4I8nZBmpkVWmqQobT4LPvWvQXshYW5yC7jcNNq0E1Oqa5cOFCh8udFrBAEcn4Oj3s7zdBi93jk4J7+wIkhrM0rskTM+ONPbQwWZgzT4dSLO1yVuNZ5RFO/spRThDKaK5ZzBh9vko7LcQwIAbhhIMAL9uUSekzrQglCPK9xDwwYfLCo8qL9CGYVrE53/8N7zw0icLo4WuRSebnX/cinNoWhOgsHjRKPJVhZqMnBQjsn82m88fqD9Zg8gelbn7mggnTQXqprAveVtlhCx/OKvyu9dmmUvRp78NnQkVBYUL3lZJKzq/+6hbLniJXx+n0DlscMEu87kPMxjr9VkG7y6pbwVf9bZBUHfWdz4hBifEsrwyC94aQz5v7xFmicmjh9KcF3MamEemzPe/fs8If2kLsLXVO4VnKKBpYXyhynAsQ4FfFBTy6YMJTqBkEc8DbkhqkNSoXf1bEMaP59HOuVyO//E//gfLly+nqamJI488km9961voeskXaRgGGzZsoKuri6amJi644ALefvtth5xMJsPf/M3fMHfuXFpaWrjiiivYvdvpHx0aGmL9+vW0t7fT3t7O+vXrGR4e9votec7vfn8+AM3NQ45xu1I9dmWlL/iE483G8Dt3LqvYZhjmfdTRR3/o0VEKo0KFxHKN7edGee/CA7x74QDvXNjPOxf28/aFfbx9YV/RG99MkM89H0QddBf1ygnw2Gla0XoOGz4ueV7lqO21D2H/LDOq2a6mTxmGVW81EISnmAFUG5dRoXhOHzaXo1cMji2SecvsMHccEeb2I8KUh1cFgPNjOb6wZ4SePSNEXO4sFd2s3Wz9twKu7P+tkpI9B81CGqqaLhbPsBfXsI8drZjNHPJUlrnxAzcMx/m4x35dQbDwXPn+4z/+I//yL//Cj3/8Y959912++93v8k//9E/86Ec/Ks757ne/y/e+9z1+/OMf8+KLL9LZ2cmFF15IPF76od900008+OCDbNy4kaeffppEIsFll11GPl+6NFx77bW89tprPP744zz++OO89tprrF+/3uu3NAGY0TuXfu5xx+gjv7qi8Mj9Ymmthr373soq8ww6OsojISX6eaqQC5ipRtYy9mc+UPnM81VOwUJA1mtLS8poZZ+ZG+yrU+f7vpMU3rb1hFANMxhrQbT+b0FTg9x9TJD7l1WG7p1zwFTCH9k39nSi3oIS/qNL05hmYO2AqYjX7BmhuaCIDR/0zm8p/tcKpSTt/7XCsnPvnEgxt9dadt40O1JMNbL+2v9nFbhndoSfF/6/bjum5ZhK+BOihAWP8XzZ+dlnn+XKK6/k0ksvBWDZsmX84he/4KWXXgJMq/cHP/gB//2//3dWrVoFwB133MGCBQu45557+PKXv0w0GuVnP/sZd955J5/5zGcAuOuuu1iyZAlPPfUUF198Me+++y6PP/44zz33HGeddRYAP/3pTznnnHPYvHkzK1e6RQhPLTpmOxXlwUKeSVukZBFv27akYr8DB8xuAD6f3UaRqJHpwuNn5Tj6fThmSEWlkGbUqTHoUvFq70LYu1Djky/6adL9KCh89lW17i3Vm0sV3tUMVm8u/TI+uRMGgwZPHFv/t5JUzapWkUyWq3c4f13HxeG4eJYDAXhsmR98o7+H3zY7zEcTZrTzJwZGOLKsdXIr0DOQA3IYwMq4xuYaS9NuAVdWYQ0olZBspMjG67MjrBxO8I4BpxfGlgHLhuOMAPc1h8QvLIwbzy3fj33sY/z2t7/l/fffB+D111/n6aef5pJLLgFg27Zt7N+/n4suuqi4TygU4vzzz+eZZ54B4OWXXyabzTrmdHV1ceKJJxbnPPvss7S3txcVL8DZZ59Ne3t7cU45mUyGWCzm+D/Z1K7JbF5+rll3X3Hk5VfOLDwqXTVyOfPEb26Wu/HpypZjSlYwwNn7VT7zfPWWZr//SJ6nbEvRCtBTp8JVTlXoPUnhgE1PdGRNKzhQpzKWRSJkVrV6YHHlGsrcHNywJc9l28dXWONP85q5fVEz/76omT5/5esowDnJLDfuT3Lj/iRhA06IZxx+GkOBTR0RNnXUtnxHU2TjrVmt/HxWKy/a9mkGbhjJcMNwnDBwSjwuLceEMaEYhuHpuqRhGPy3//bf+Md//Ef8fj/5fJ5/+Id/4Jvf/CYAzzzzDOeddx579uyhq6uruN+XvvQlduzYwW9+8xvuuecevvCFL5DJONNmLrroIpYvX85PfvITbr31Vm6//faikrc45phj+MIXvlB8PTsbNmzglltuqRj/1i1fJRwefyJnOqMSDtU+EdMZFV03L7LNTSUPmGFAKt3kGLfPtY+PpMx5AX8OtVAtyRqzy7SPDUcDnjWsB1BV1TN5U1WW1/LCkQhZF/3q13FEG6frtBUtb3yfUcyl2Vr4DLNYhZ2sAlbvhmAeR/nLaigGhKukkmcVyPlAzYPWwG29qteep5YFgNXC+visQ9M1Pz41X2y0bhXhcGu+rhqVjeeDLmOK0Xi6d5aS79wsfVNf6wcxyJZH0+sGhqLUnqMYFfLd5rmhVI/Lt8mq/CzGQ9DlOxgrbt/nWMmk0/zw298hGo3S1ubiF/EYz5ede3t7ueuuu7jnnns44YQTeO2117jpppvo6uri85//fHGeojg/McMwKsbKKZ/jNr+WnG9+85t87WtfKz6PxWIsWbKEL/TcR1vr+BcBfnLXNXzx+ntqzvnhT28A/CxeuJXVl/2+OP7n587glTdPBYyijJ/edW1RgS6Yu591Vz9akPHXAFzf/QvaC6lK1pj99c0xU94/fH+dZw3rAW6++WbP5E1VWV7L+y9/v4GHT6iyUYPu98wLdTgPDx4JWo1FkqveglBB04QMeKMFXu+qczprOa7bWlruChow4IffHhlgzQc5epc2fgO6IKHxuQHnZTtogJI3L4YbF7nVJ3eybk+K3s76RTZ69o3wchjOTVVfqrPOeEtZ+4Om6gsZsNfvY25er9pYoWqRjbbaxSyuicbJY6YtlR9XsPDf4g8Y7FFrX9BXa3Ee9Dlf82ojzkNGaewqJc5DOOdchct+eoPFODIx7o3Unrc2Ga/4fMbD2uEEmzq8kdc9mCi2khwveqrRWz1v8Fz5/uf//J/5r//1v7Ju3ToATjrpJHbs2MG3v/1tPv/5z9PZafor9+/fz8KFC4v79ff3s2CB6fPs7OxE0zSGhoaYPXu2Y865555bnNPX11fx+gMDA0U55YRCIUIhr0sVjRbzI//42S87Rt95v1oQlcnHznq+Yqw9Istdhw0qbDoZ1r5hXsiv3grvhOHNY9ynGwrceSRcv9VUPCfH4IhkjkdW1Dil1QB3HwuXb8kxqxDe26XBNe/lXC3yWvRFVG6PwEW7M3TZVp0DQMCAy/al+NXC+gq4Uba0tZidjjAjn98Lwoma+Xrlt9r2Iqs+YHHevEv5/KDp/71uMMGAX+HNpiD7xuG7zQP3tlQqroXJBOdiEKaklC8ADC3GX4AddZSwMDPw3Oc7MjKCrywAw+/3F1ONli9fTmdnJ08++WRxu6Zp/PGPfywq1jPOOINgMOiYs2/fPt56663inHPOOYdoNMoLL7xQnPP8888TjUaLc6Ym5qVi/lynvzmdMXMi21uHXfda3HXAdVw4vLj3ZDhYUITHp+GKN2pMVgPcdWygmCbTnodr36udDwzwy6MDvFi6pyUANOXh1IOjv5l7YnGIexYpFZHR83LwhV0pPjo4MRXXXm9v4e55Ldwxr4Xb57WQUuCOORHumBMhg+nGqbacGgAW5g0uSmh8fjBBuFBk44ahBOuHElw3lCBkwCdjcU5KpV3Tn2qxryXC/S2t3N3Syp0trebxYJ75HwOu1WJcKOUfZzyeW76XX345//AP/8DSpUs54YQTePXVV/ne977HX/3VXwHmUvFNN93ErbfeyooVK1ixYgW33norzc3NXHvttQC0t7fz13/913z9619nzpw5dHR0cPPNN3PSSScVo5+PO+44PvvZz/LFL36Rn/zkJ4DpN77sssumRaRzJaZS/uxnSjcc3nrjhenCUydA5z44f8CsS7z2DVMpV+MXxwa49IMcHQVf8Pr3ctx5JKBWP73fWxBg6+wcPVtLY6fGDE6OZXhgkTKqEpCaqvLz5XD8kMZHh50/2hOSOickUzw128+uyNisTMUwrV0L1YCeA84CGqphLkGC+Rnkck6fb9goWcS1nFtKYX8FWGLAEi3L6YCRKt1EGJidIAPAKekUaZ+PNAopYASziJk9GtpA4R61lWYtxlUF2fOB6woKOA88gJnPfLXhDKIMGgZXKXEUwzzygGFwFfHCsZr+4CAGV+vO/RRJMZzyeK58f/SjH/E//+f/5Ctf+Qr9/f10dXXx5S9/mb/7u78rzvnGN75BKpXiK1/5CkNDQ5x11lk88cQTtLaWlnC+//3vEwgE6O7uJpVK8elPf5rbb78dv7+0Pnb33Xfzt3/7t8Wo6CuuuIIf//jHXr+lSaVzbin9KJev/Hr6+mfV2NvthJOTcDqyfyH0zjH9wD6g5w3oPRLX0pQAj64IcGJfjtMKWWrrt8Jv5ufo76h+imtqgDuPhZ7NOdTCz8QHrNljMOTL8PARo3PRvDNb5Z3Z8PltmQoF95mhPLmhFL0L/GijXOo1FByNFHoGkhV+vp4DyaIfsedg9fKSFT7fRILrNIhhfrT2ZWxLUbtFX1ufzMn5XDGyyv6ejazT4r9Oi2EASeC3+DgLnQWUlP3aggDdMPgLsAdzafoqJc4vM61cocb55UgrlzXH+WXavE5e3hTnkay5zc0PLExtPFe+ra2t/OAHP+AHP/hB1TmKorBhwwY2bNhQdU44HOZHP/qRozhHOR0dHdx1113jONrJZf/+jsIj5yJdtVWtXM660Sid/q+/U1ltf2TEumSIoj2sKPMD92yFF5th69Hu099aEGB7S46rC8XRLu6HzckcLyypfZr3rgw4FDDAbB1u3JbhlTaFN+aMTlmmfbBxnp/r+/KOoKMAcF1fnjgp7lvgbXCLYrN8rTxfv+anZzCBodTI841EyA0l+NUoAq7OjsVZbpivYxdX7eyzd3qKAFeWnf9G4b8P8CnwccC8HTBXv65UY/iBK5oKf8NxwCBgwBXBuFi50xSp7TyJ/OUlK2Xf6Zd7/V2rk5HzJDKK+SOl8d37FlWM7dm/sGJf4fDh3pPh0jfMC/dHRmDlG1TNwUlEAtx5ZK4YiLUyCYvey/HgsbVP9bwPbl8aqgigOj1mcGosw8ZFyugsVlXlriXQkda4YiBfUUDjC3158xeraZ4UrLDyfMG0fINqHl3zE8RcIras4PJevmPhubZWngO6o3HXgKty1iYT3K+2gpbgUzaL166Uqy2FK0qpCUQAnRw+MCCgmFeRX2ZauTwsVu50xPOAK6E6u/eZec1HLHY2aX/9LSv/xF2Bzp5VKgKcSJoXGHt1q607uwAFRZFy8Icrj54MLxSCZNsw05GqUhaIFQGuayAQC8wAqtsXKY76zj7g2j0Ga7ZnRl1QYjCscvuSJp5vq7xbUIAbD+T4/N4Rzhyq3rFrtBiKme6kaeExFdeYMNQIv1Pb+IXaxj1qG3erbdwdiPAbwnxAwOzGXeseWlHIGQq/GWglh+LI/xWmH2L5TiqFNKOzXnGMJkfMu+dIi3sE5Nmnl+ZbXY8iLaU7+L7+BYBBMOh2YRSL+HBh2zLYmYA1hSCp69/LcVcNi/YXxwb43Ic55mZNBbr+vRy9R5q+3pqoKncuh6OjGh8bLP1+IgbcuMdgTyDDk0uq+4MVw8zhLSflcy+coQAnpnROTI0AZtEQ3aZXrEYKjuc1Aq5Uw7R0VTWNr6yhgvXXTtAwl5krxmJlQUwGDiUexMyBrYeKGeHciKq09Km1FG0YkMUMqgKFgGJw8fy4qaoNuDwUJ4hR4eMNYrA6U//YgsDaRO15ouInBlG+k4r5M55T0fygEOn8qd+47nXMUbsq5i61tQ5MFJR3a2T8S2rC1CYfgd6TzQAshUJk82Ig4n4q//qoAMf25/hIYfGkZyv8bm6OPXPrn/pb2lW2tMMn9mU40maYLsqZ/uC3IgovzatcMjYU2LiwdvGMq/aNMLtKpaxQQfPsDio8NaeZnr5kZcDVnLJCGQdLhRu6B82gqrW78gTR0LUw2Uhy9EU22p1Lyt3ROJtsQaHdsXixQMUcTeNjWoYItZcTDcz4rDQwjI/9BNiGD01VWZ1xD5z6ZbqVK8Kxiot1DnhEa+WKkPt+XhbZELxHlO8UYlGnLdK55iqhwknHbS7NzZoBVwvn7XeZW+UKJ0xr0n6zjKMPWL8bHp2bY7CKQn1vfoDdbTmu3m4+/9QB2JHM8acjGjv9/7QwxJ+ANTsyRGw/pxMTBicmMvx+jsKOttH5bR9a2My6fSM82xLk/HjW1YW9OGtw437Twj02ofFejVQlpczy7R5KoLaYZSah1GShkcYKddE0jtR1VOC6RLxC2eaBDDCs+NgaDHKmluH+MRbWUDC4vClOwDCVbQDz5iZnmI+vUCXgaroiyneK8vbmFTW2Go4iHQZ+wGDZ0j0VM30+Ub6HK3cfG2DNezmagEsPwGuxHG8e6X5KJ8LOQKwjUrD2vRz31gnEsnPfESHQNK7dY2BXg588aKAfzPBgl0I8NDolvLNF5c4Wc59zh1Ick3H/vZ49kuXskSwjivsyqD3gyrJ8ewYTRaU+poArXeeMVIZjsrli1PYNsUorMAW8oobYWiVw7Mxx1AY3FMVMJwqaKUeXh+I8opmW6hVqnIfzrVwZEMt0OiLKd5LYU8zPdV5c3t58ZOGR8+71tberFQGuzpKuvcXHVvqR399YoI0wPbnv2ACf2pJjUQ5O1czI5serKVQ1wF3HmuUkA0CYgt/4SPfp7jJU7lkOEU1j1R6jaPX5gNV7DbJkyI3RSfjM7CaewZR92WCWsMuc5sJpcuOBBAaFBgZKpc+3eyhRTDmCUtqRZQH7bP7bcp9vwDD90jfEnH5lyw+bL/xXgE11lmxHg6K4+24t6/bysOnfvSJUKrJxZcDd5yvW8NRHlO8k8cenPwKAojjbr73w6qmFR86TJRqbVXhUUtbVl6LNq4j9xntw2LQC1ODElPcTpg6/OzrAUbtznJuAeUD3ezk21QnEumhrjgWFHrrrt0JmlHkPiUJVq7lJjUv7Sz11gpjK7FN9I/xuQf2mCdVkb+w0f8wLUxoXR91bFioU0nAKp87boSBvt4Qclm9QzeMLJSFjph1ZFrDdz9s9lCALtJbpq7gCv24KkS6cWN3RuCP3tzvqrcVpoLg2SLD7c6+i8cYKwtRGUo0miYGDZprRUUdsdYzH4u0ANDeV3WW7RDVv3bG04deLFuQ2hUT5zgQ+XBzg4cXm4xD1U4ueODLACx2l5yEdureP/rdyoEXljuUh/tThNHePyMGNe0ZQx9mOcV+TSkqBR9qDdaMXzkxn+fzBBE2G2UQhBI6UKV3zlyxgA9YX6jmHMRWvDvT5FO5rUUkr8GB7a1HxCoLXiPKdNExl+rFzXiobN7+Ciz/xlOteJx9Xqqz/zvtVShu5MBw1AzxaWpJ1ZgqHC7FIwKzpjPmrur6OAt48P8CDy0rPmw0zivmj+0evhLe2q9y+PMRrtqqPCnDdQI5P942MWl45g6rKz+e1cF97sP5k2+urQJMBQTVPUM0TCOQJG6X6zWAazj9vUblrdoTftLcwIgpXmAQUw5i55ftjsRjt7e1865avEg6Pv9VgJqMSCrnf6bs1u29oPJwqXiVGUmGsJ/b5bjIymko+HyDgz6KqWYajgSnbZH6qyvJanpeywpEIWo0KjU02k6+RNqXhfGUgU3m+baO45fIW5dmel+fNVpVX1jC9uJ9hKtfy1ypvnlBxgSscxMhIM/7ISLFZvFLmB642ZlH+vHhsZS9nLXfXw5znFGg2u1dsc4y6c0rz6tNIUVrr8/GKYNn3OR7KfxvjIZNO88Nvf4doNEpb28S3fRSfL/CldQ/S1jr+RYAf39nNf1y/yXXbd//18wAV2+uO31Aav+3/XoeuBwDdMd9Nxr2PfYxtu4/mIye9xsc/+jZ/9701U7bJ/FSV5bU8L2V94+830Lu0xg2jpnHjHvOy+mAHaJHaN5c9OzI8MM/PNX354nJYyIC8AT9f4B9VCch1u1P0zm/hyFiST9juKUOGGRncu2B0zc97+pN1m6+vO5goNjtQgIRivp69UcLWoJ+ubJ6gz0pBUvBrfnJqnk2zImZur+UHLjy25/tW+Hxjzrxfa+zesrG18Tj3NdcPzFozkqibm7s6413+bqOsTcYr8qDHJW84Uff7bJTuwURFzvdY0VOTqw5l2XkKYkYqV6Lr5j2+v4H0Ias/cEvT+Jf8hGmIqtJfeHjNQGO7aKrKHUuaeMp2zfZj1mG+wqViVT22trVw+4IWorarTBNwY1+S0wa9dYfoCtwRUYvWXqTQ+EAr/DeAI7N5QphWqE/N42s1j8Gn+ekZShSjnruHS4+Dhql0u6Nxb3KEBaGAKN9DSKKKkn37w9q5HyG1vk8uPmJaKm1S9WrG8tjyUHEJ9lPbGvfj7prVxL8vaWKHzdido8MXdqU46cDolfCD81q4b3bQsbx5ShY+35ekw0MXAarKPR0Rnmkq+YVDwPtqgLRiRi8rwFuhYFFJ+1Rzfd6n+ckBm2ZF2DQrQlah9Le9lU3trVOjPrRw2CDKdxIYjFkZi2U5vu8fU3jkvKXesXsR7pj9TzpmReu+ZlYzFXtb6+gvlsLhw/3zzL9LYdRNEX63oIl/X+DHrrbPTMGNu1K0jlJWQlW5Y0EL79vipRTgiqEs1/clxx0VbeeDphB3tJWyhE/UcvgNeKBQVvLMTNYsyjE7UmrAoIVFuQqTivh8J4FX31hZeORsRfP+9sWYlyCnUu4/OIvqoRAGC+fVX0fM580l6uawh5aFMO1IREJkBzIEgRv2GPx8+SgFqCr3LDELX6zpyxfb363py6OR4u5R+oOf6WjhGU3juqFssWpUALh2KEuaLBtnB8fUYlBxaZiQpxSMFcSs4WytBKiG+VwxQI0kTR9wxlx+NhQzKKhnKEGAUj6v1WzBCsIKGtAdjxdf31AKjQri5QUvBKESsXwngTffPwqA2a1DjvEDgx2Agd/nVMoj6WZqxSAuXbSv7mvmdfO+SlVF+c507l5uhiL5gOX9Y8v7Tqhma8CXbHUzVEx/8MX7Rrm6oqrcvaByKToM3DiU5fL+0fuDLUvW/j+rwCOF0pUK8GHAX3w9a1m5d3aEHM7l53y8BV3zE4DKpejC8vOm9lbzeVsrm9oKY22tZIF7W1sd/8VVLLghlu8koOXMVKATVu50jGdz5oWhvdXZStAKrKrGks4+l1Gj7JkPMLzoUy4cBrzUDGeOwPlJ2DYOOW/OaeLNOXDlnhQdhQWbrpzpD366BT7oaGpYlrkUrbJ0RONT8VJizBzDDMraGoA/zRldZHQ5w6pKJqkRAk7I5slg+oFDtpKSlpINqHlygL9QEUvX/PiANbvzGIaPYAR6huNFa9jedrBoFY/raIWZhFi+k4KpTE8//l2XbQpnnfZqxVgt7Ao1nfZVmS+XAaHEWwtCxduzdaMIvqrGw4tMf7B9zeZjSdMfPNpf3s5mldsXtPB62Y3ikTlTCQfGaTo+2FISbF3wFJwWbe/s0t9NsyLoat6MiFbzxT7ZuuYvBWZZlm8hGMuygsXKFRpFLN9JwbwchcPlKUKmX/ekYyq7EYGCT8m7jDsZirbXfE1BsLhjkcKNewzCgJrI1M39rYuq8vMlMH9E49KD5m9VAcKGGcn8VhBe7mjccn11dguvAp85kGSx7acfBG44mCBT4ydt+WjtKGUNE6DkAzYobbPSihQ3axjQ1Tz+UBKfUVLAa/bkCLZQTEEKYFq+9ub0dj/wmpFKP7BbMY7VmRi1aGSOJV+Y2ojynbIY+P31le/+gt+4ElnUEMpQVQ6SYQ5m7u8dHtVN6G9W+fdm+Fh/ihUFo1oBTsrCSX1J8sAvZwcZbtAH8tRcU2Gv7k8Wmx1YSv03LSp9LnLsxTAq0DRuGDEPzDor7mwOFZeQuqOVRSQcRTYK23qGEgQKvuEgGrrmJ6+FCUeSRWvYXojDKsJRrfBGeRGMtYk497bUb2xfb441T5jayBV6ChMMlGrzxhOl0pJ2+g+0434fLfe+QiW/tOX+ftqD5Wc7T88384PLbxn9wFVDWW7sS5rBVA2mFd0/3wzKsnNxUuOy0fTkBU7JmUdknSExhboR1ZYVbC+8YVnDYFrDFlZwVs9wyQ/cHYsXo6HlTBTcEOU7xdAdxW9LD7fvWeg6f+DgHAB8FVWv5JQX3LFyf5fAqHN/G0FT4PYFLdw+O8hg2RVmjmFGNH++L8kR0fpRzQnV7DCUto11AFePQgEfrZkq0zojHqpmIdsw7EU2qviGdTWPv1AlyxEdXYiAFj+wUAtZdp5gYjHLr+Y8BfsPuBfu3rFnvuv4zr0LKmQAJJMtmEvUtTvYCILFuHN/G0VVeWSeaWGqmsbVQ1msWGgF+GQa9HSSnzeQ27tpdoQT4wlOL/zMW4H5mkZ/A0vZYdtjg8o+vEEX37CbH7h8LIBZqlJX8/gKXS4s329xfpkfuCjfZUxul2cWonwnmBfeOrbwyKkcX3nHGncq1Lc/OMpVTt+BObgtL6c0U7mrwUZ6mAiCyd3LQ9y4LYMPOHKMub+jQVNVeheYinKWpnH5UBY/5tLbjUNZhpQsD8+vHZz1VmuE9zWNdUnTWv9sUuPnDShfqzCIdeaU+4a7o/HGx2y+Ybs/eM3uvOkHVvMVjRhG04BBmDnIsvME89Z7pjJtbXFGKG7f1VV45FSme/bPx+0eOJaIFOY65+fy5v1Ta5P07RVGxysFM/QTk/zTGVZV7lzQwv0tpV/z7EJu71F1lqI1VeUDWxr8x4dH5//1EsXmDw61mIVGLN+vPQ9YGjIIbojynWC0nFkS6PgVuxzj8RHzjjkYcPrc4kl3JZvNWYEnznFdN/N8Z88e9uiIhZnCG52l3N8mnQnx/9YiHmnhjgUtfGCLqfp4Gm7oqx2U9WxbpHjcyw1Gddxe6kHD5g8uBmIVfL9AMQJaakYLbojynXDMj/iMsgIbhmGOL5h7wDGuG/ZMxMr5le0EzQW1eR31c/8EoZw7FpU0wxf68ly7KzXpSvgvHWbrwWKnIcyl6DV91a3gO22FM65O1jheTSvUejOZKCPUsDVosJehFIRqKIZhzNhFkVgsRnt7O39/y02Ew+MsOACkM0HCIafvNZmy+uqmXcebQhl8PqNiHMDvyxfl2cftsqzxkKoR8OsV49bcoagfzcOLqqqqnsmbqrK8luelrHAkgubRrbMChHSns8MA0mOUr+pmxHPd1y0UobDjM8zyj3Z0nPIUwzw+eyBVHiiPelColJXHrOtc7ziCRuW88jH786BhWro+zY9PzZNVStutv/bXaUS+G43MGc28RggajX2fjaJ6KM9LWZl0mh9++ztEo1Ha2twDYr1EAq6Ar1zzMG2t47+S/eDna7jphvscY//wk+sBqo5/7cZ7Xcc72obJZMPF/cxxhTntg/x/1j1qm38d4OP6yx+jc26ibFwp7v/N//dqbrvttnG/R4ubb77ZM3lTVZbX8ryU9Y1vbaB3ceN1lOvRszvF7yNwSWEBRcFcit4egN8vaK65bznr9o7QO69+ZauegSSbZrtX+jglnuDUgjb1AQED7rEVr7i3pRVV0+jJmsFiWagoPrG+rNBEbyjElVqmWASjFt2x+kFY9udWMJYVeJXXwiiRpKPwRnessgCHQ368cqziuBqYU5zXwPtshLWxeNXvaSx0DyXY1OGNvO7BBL1zvJGlpyZXHcqy8xRl0fx+l1GDWW3uEZEdbYcu8EQ4POhrbebfFzXzmk2nL8vBF/aMcNLBkUk9ltdbI9zREcH6VQeAG2JxFiZKv3PNFulcbvxcVqZ4/xAKOeZ7gWKYSrcYXGULvALTCrYX3rAX4JAgLEGU7wSSTlt3UqM/05YvdW8bOHdWuW/X9PlK9yLBK17tMJXwHpshcGbaVMKnH5hcJXx/RwT7Qv2Fulmb2vJLW44Wex2so5IJZtueb/H72TUBJ4jVWtDeZMFqT2gV3ygW3nBpQSjMbGTZeQJ5/o2VhUfOIKlcA/UwVh6xi98+e1bF+ByJahYmiScKy83de0awFpFPycApe0bQgT+2wPZZo1uSHgsGZoUru493fTZDJpsp3tYqwNpkghCGwwrWgcX5fDGHtlGdZ1m1doJlY/bn1nx7CUooRD+refcWhGV5vWINzyxE+U4gr75rlg5qUp0n2Ttbl2JeBsojl0u436grHLHAbTlaECaOTYuaQdO4ZiBXVIA+4JNJIDlCHvjV3ACDoYlZfjHA0YRgfaEyVAgcytdvU7y5wv9yP/DakcYKWVhWrZ1aPl+3sZ7huKMFYYWPuK2y8IYwcxDlO4Ek02YgwEdP3uIYf2/rUtyWokvL1NUw6OiY3GU/QQBAVfnFIlO5tmoaVw3kihcPP3DlAVPdZaiMHPaaDOYyc7GTta11X+EpORSUQ1BV2W4xBzBvry3fbwCnpSzMbET5Tijmx/vRk95zjO4fmFN45DwDd+ybi3uHIkGYOsRVlTsLinh+YoTPRUvBIyEAA27sd+boWmVjNGDQDztDQXxWgYxG/LGaxnJNYzlG0eI1MJWYYuiAD0OBTEHp3q+2slqb/Nx3u8XcMxwnoOadTRdslq8wsxHlOwmUX1uSKdNPFladub/b9nQhileYTvRHmot9gZcNj3BB0t2vatVXDgOL8tA1kkUBPp/QgPq5z+u1TFGu1RIRTGVnGD5024sGgNVaoaFBsrKhQSPLu+X+Xaj0A7vNCZZZvjnMGxO777c4rxD1bM/9dfMD21cS3Oa4IZb11EeU7yHAqmJ11BJnycm+A7PdpgvCtGD7rGZun1XI851byvNVNY0j01mOzEK7bipAN0Vqx647rOiIGLAFhRMxuF81iyCs0WIEynI2csD9oVZWZ2KuPt+G82TrtB6s5/O1Hpf7fu3b7L5fex5wUV7ZmNsc12MT//GUR5TvIeRTH33Z8Xw43orbsnMiEXYdF4TpgKaqvKeqvFc23nOgepENx7zBhCPg6qREnNWa07q0RxkHgNWZQ9PE3m4dW1aw3fe7erdOIJIs+n/tEdBirc4sJM93gtjbb1mx1c+otjZntHMqE8atqcLegVmeHpsgTGcMFO5rauW+playKNwXaiv+vT9UGGs6NE3sa+X+WkjurwCifCeMF99cUXjUeJ/dfN7vOr63fx5i9QrC9MRQzDrLmhbmtttuJqtMfES4MPWRZecJ4u0tSwFY0DEwir3MM9LnyztGDwy3e3VYgjDtMAto2AKdgDWpWHHb6kyMYOGvNbYmFXMNuPJS59UrxGFtt5ouqGqam2++DX/GbL7gWngj5iLPNiZL04cPonwnCKPQT+Xc0z9wjB8YrF9wPqQ6oz+H4i2Iz1eYqRgKjiCp7ljc4QMGWJuIVwZXJePc21o5z9PjqlOIwz7WMxzHH0pCZnSFN8oDroTDA1G+E4Z5j33s8t2O0ZfesUpOVlOkCnPbhx0j8WRLjfmCIExl7KUniz2LpfDGjEeUr4eE0s3k9i4BoC1hLhXr+5c4ikgOvHNCYZtenGth7XP0st3k9i6hNT6L3N4lhIfmEcwHAKPqPpXjsxzjTdrE1+AVBKESy0LuGTaVrE8KbwiAYhjGjL3fisVitLe38/e33EQ4XN52e3SE0s187OmrCOdMObpu+W+dH69uqwbgvk3Bp5idzQ1DQVGMBvapPz7iy/DwCfeTUr0pTzlVm8x7KctreV7KCkciaB6GS6o6nslT9cYanLs1sXeVV9YY3m0/t+bxjc5zY6yN7WuNWX8Vw7R8rQhoa34j8rw8/kYJetiwHszv0yt5XsrKpNP88NvfIRqN0tbW5o3QGojlC/zHax6hrdU90rhRcnsX8+Efepgz9yBKUGN3/1wAFs8/4Ji3Z2AOhmH6bxfPP+jYZu3TNfcgPp/BvoEOFs4bLI67yav2OvZxI6uS3z+Hu35yF9syW8f1Pi2mapN5L2V5Lc9LWd/41gY2djXVndco6/am6O30ZnWkZ5+zyMZ4WXcgyaZZtfOBu4cTdYtigLtPdqzz6hXZKB+zb1uzJ0dITbkW3qglb1THX+cza5S1w4mG8rEbpXsowaYOb+R1DyboneONLD01uepQlK/HKEENJZQh7zdT/pVQxrE9789iGD4UxXDZZu7jbzLLTuYDuYKsLBRq1lbbp9FxQRAmF3vUs7W07A+aN/vi8525SJ7vJBNWzZALRaneTrCcYKCQeiS5gYIw7bB8vlbRjU3trWSzZsF3y/Ld1C5FNmYaYvlOMrpu3u/4fY0rX71wVvpGobAFQZhY6uX5lo+VW76uzRbqyBPr+PBBlO8kky8EQgX8+TozSxiFffx+Ub6CMFUwFCr8qm6+Zzefb61mC2772p8LhweifCcZy4otL6RRC6Ow3hwchcIWBGFq4ObztZotiM935iI+30nGSgFqCo9C+RYUdjCYqzNTEISphpvP1zqTxec7cxHlO8n4Cre3o7FireCsQECUryAcDhiFRguicGcusuw8yfj8BnoOfKO47QkE8mSzvlLUcwWyXiUcxhhmrmktggasbcAfOpp59fyrQcP08dbbzy3gKmiAX03jc+n/ay8OUi6vkeMCWcKeDojynVAqzwA9P/rFhnxhn2rWsiJ3z8JhjKFQt8hD91BjhSAandczlGissMd4Aq6oLC/p2mxhjEU2hKmNKN9JRh/DOpNRSE8qLyFpoYjlKwhTlloBVz7Nz+rdOoFIshh8Vd6WUDg8EZ/vBGBVy1Zcz5wxKN86291fRxCEqUC1gCurtjPgaLJgnyc+4cMXsXwngLxlqY6pKMboFalvFAU7BEHwBmWUPl+lzPLN4bR+3CxfKbJx+CLKdwLIZs26re2R5Kj3dSu+oSgla9oNVVKQBGHSqVpkYxR+4DV7SuduDtjU1kp3rLbPVzg8EOU7AWSyQQDaIulR7xsagyJVJQVJEKYVlhXsD/rRtHCx1GRPNC6FN2YI4vOdALIF5Tsa9MLKcVO4sguRUcXxY+0jxTcEYXph+YF1NY+/1Vwh0zV/yffb1sqmNvH5Hs4ohlFrQfPwJhaL0d7ezt/fchPhcGhcslrjs/j406vIBdNkfXkMFNfmCfkqjRUMQ0E3FHw+vRiSpesKPp9RfR/MRg32fdxex58L4M+EeejE+xhuHhrX+7SYqk3mvZTltbxwJOJtw3oPb529lKfqk9983Z4bO15ZjcpTXRrWu+3n1tjeGrP+KoYZ+WwFYWUV5zxLrpusRl9zrO8z6GHDemj8O5hsWZl0mh9++ztEo1Ha2tq8EVoDWXYG/uM1j9DW6h+XjNzexXz4l6tZOG+QlGHQPzibzrmDFYUxtu9dAMCSzgHHuK7Dzv0LmDsrSnOh9OSu/fNY0jlQdZ983seuvnl0zhlEDVZ/HSMTom/XQn72s5+xLbN1XO/TYqo2mfdSltfyvvGtDWxc1OSJrHV7Umzs8kYWwLq9KXo7mz2R1bNvhN75LZ7IAujpT3rWML3noHeN4RvJBYbGc3/X7MkRRENX82xqK/h8Y3GHH7iR5gvVxlyPLRqv+x7WDnv3mUEh17rDG3ndgwnPfht6anLVoSjfCcBSntF4C3NnxxzbFIxiowQ7VsUrTQsW96+HVXbStHKl6YIgTBfccn+DLaWl555ovGjpdsfijohp4fBAfL4TxNxZUTraYxXjC+YO0jXvgOs+82YP0+YSIb1w7kEWzj1YMe7zwdxZw4SC2Yb3EQTh0FOr2YKlgKHk/80qiA/4MEOU7wQRaU671m8Oq7mKJWKLlqaM6z4hNUdIdQ+qijSPfh9BEKYeVrMFTQuLsp0ByLKzIAjCBKIYjRXeCBqgRJJm4JV9ubn8bxVZ5a8pTG1E+QqCIEwg1hKznapBUm2trNlrBl7ltTBKJFkKuLL9dewXc5clTG1E+QqCIEwBFMu6LQRegZl+VCy8EZOAq8MJ8flOEANDbWRzlR9vPBkmmnBP6RgYaiPr0nIwnmyquk//YHux5aCdWKKJWNK7VBRBECYWo+DntZouWMU37IU3xAd8+CCW7wRgGJBMNeH3GXS0O5d/BqNtGCi0R0Yq9kummggGcsxqdW47GDUTvsv30XUYSYdpbRmhye8swDEYM/dpa0mN+/0IglCJW2MFNxr101p+XUvZWlSUnoyVSk8W05Ea9AO7FeOo+x7E2p4QRPlOACNps1qWW2MFtxxfKJWKHE2EsmG4V74SBGHicWus4MZomy1Yvl8w8319mr+ogC0LGBiTH9h1rIEiG4L3iPKdABIj5nKv3++uFBWXW0mrGUMo2Hgpw7xuKnKfT25NBWG64yi8EbO1HlTzDgVs+X7FDzy9EZ/vBKDlat/TKC5ni1ZQvm45u9XQx9U3WBCEqYSj8EahsUJWgd5CAwYwl6Dz8RbxAx8GiOU7AVhKsRqKi6Waz4++trRuWJbvqHcVBGGScPMN1/LTKjbL1+EHLljA4K0fWDg0iPKdCAo/6HiyiVaXgCe36GRrCXkkrTZc29lqNZjN+glWqZolCMKhxc03XMvnWzFm8+v2ROP4Q0nIeOcHFg4NonwnACuoKpUJuSpfXIKuLGs5kxmN8jX/5vI+Ub6CcBhSzP21WcBZQLdZwXbL15onFu3URxYsJ5BgYDSRy4Ul5CpBWm7oBWtZEZ+PIByWWLm/2bK/ve2tZLMquuYvWr7SgGF6Icp3AgmpjUcuG+M4W+QmVxBmHobhQ9PCominKYphGDP22h2LxWhvb+fvb7mJcDg0Llmt8Vl8/OlV5IJptELerc+nVyww53X33FzdUDAMBUUx8BXWjHRdweczqu5jYC5X2/dxex1/LoA/E+ahE+9juHloXO/TQlVVNK3xm4vpKMtreeFIBM2j211VxzNZXstTddA8VAiq4Z28QyFLNSBbNq9awYvyedaYPZDKmhM0SmUodTXv2G6f57ZvrdcsP7Zgg+/T7T25MVW/z0w6zQ+//R2i0ShtbW3eCK2B+HyB/3jNI7S1jj7a2E5u72I+/MvVLJw3yI6DswBY2jlQMW/73gUALCnbFk00MRRrI+DPsWj+IAC79s9jSedA1X0MA3bsW0BYzbBgTrTq6xiZEH27FvKzn/2MbZmt43qfFjfffDO33XbbYS3La3nf+NYGNi7ypuTnuj0pNnZ5Vz503d4UvZ3uJUxHS8++EXrnt3giC6CnP0nvXG/k9RxIsml2/cIYjdA9lGhIVs9QZZENV3nVgrBsgVP2QKqeaJyAmkfX/Pg0P5pLIwb7PmMtvLF2uLH32ejn0T2UYFOHR9/BYILeOd7I0lOTqw5F+U4gg9HWivKS1WgKaQwBuVzjNwGWr1fLytcoCDMBexqSletrKWCobMQAEoQ1VRGf7wSSc0kpqkYwYEYrVys/WYt8nbxiQRAOD6wALHsBjlqNGCQIa+oiJtMEEvA3nv5TiliufoYYRrXIZjmrBGG6Y5WXtGMvNVn+3LKCazViKBbcsNKVCkU8DJvf2PU17UVBxGKeEET5eow9fC0YbDzVqBYKBgYK2ZwfVfJ5BeGwxCovaaeWz9cx1lrwAxvORgxZSlawWwGOqn7gMp+v4D2ifD1Gs/lsQ8GsJzJ9fp183s9IOowarOyUJJavIMxcFAO64+6NGPJamHAk6fADl1vPwqFBnIUeYzVIgJIfd7yohWIdGS1YZ6YgCDMNQ4FNra1sai34gdtKjRigsAxNyQK2N24QP/ChQyxfj8nZIo8HhmYxv2N43DLTGRUALTu+dChBELxDMcy0mXo01LCe6o0Pqvl8HWNxmx84XmrEYNWBBlwt30Z8vsEG36fa4Dyxtk1E+XpMbgIjj/O6KF9BmCoYCo3n+Zb5Vd0o9++6zqnj8y2OxUtjaxI5gmjoan7MPl+v83wFUb6eY28n6Pd5s+ysKMa4yk8KgjCzsPuBgy2lpWfx+U4dxOfrMXblG/DI5+sr9v8VBSwIQn3sfmAr5yIHRb+w+HwPPWL5eoy9mnPAP7ZUo/J8Xp9Ph7wsOQvCTKfcBwxOn6/bWADQKVS/irlUv5I830OCKN8JxD+KIht2srkAqi1HuLxpgiAIMxOrwpWdej7f7nicvBYGwB9KkoWKus8V8iTPd8KRZWePsftmh6Jj64yRLkspSmvquI5JEISZi2JAOJJEVdMEDfHzThXE8p1A/P6x/cqzFY0SDMTfKwhCo1QU3qBkadmXnUURHzpE+XqM3+abDeRzGJlQ2XbzIy8ft2/LpcIYTRr+XAAjEyKg+zEMn+t+1eTZx42sWM6CMJOwAq6gtAS9Zl+OkJoqBl5Z24RDg2IYxoy994nFYrS3t/P3t9xEOFypDEdDKN3Mx56+CrXgWwEzaEopu7XUddOCLUUwV26zthuGgqIYFeONyCsfH/FlePiE+0mpI6N+b2542WR+qsryWl44EvG2Yb2HTiMv5am6dw3OYeo2X1ddGtG74dawvtF5bo3ty+fUGwsakAX8VttBNe/cVkdesMHPrNHPdqp+n5l0mh9++ztEo1Ha2sbmMhwNYvkCX7nmYdpax3/l+WcgFy8FL6xctoNPnfO6c84vrgDg/7nmkcr9C9sgx/9zzWPc8eDFfP7q3/DAE+fRd3CO637V5P3zLy4HlOL4rXd8gr//P98a61urwMsm81NVltfyvvGtDfQubvJEVs/uFBu7vJEFsG5vit7OZk9k9ewboXd+iyeyAHr6k/TO9UZez4FkQ4UgGpI1lHAEJlWje3jsRTbKA6LqBVe5jXXH4tzb2kp33Gy6UG75ur6m7XjXRuOeF9nY1OHNd9A9mKB3jjey9NTkqkNRvh6SCY+QNPTi82T7IIGuXY45sUgUoGLcvg10Al27iLcOE+jahbpkO7FMwHW/avLMcaU47pXFKwjC1MeekhQEVu/P4QvaykzGxed7qJFo5wkkP+rcXOtMcH4tC+ce9OR4BEGYGRjAva2t3NvaSibZRDCo4VPz+NR80fLd1CpFNg4lYvlOILl8tV+2wvBwE7NmpcrGdaBSYS9fsg+eU5Bsd0E4fKlaQKO8sYLNajUUlzFK1q5h+AiqpuIFM+rZbvlWbdRgL7whl50JQZTvBFKrEcKHu+ZyxiznUnFYzZDWWij/tXe0JYpjmgaqBC8LwmFHIwU0yotnbCr4csv9u6v35wgGNTQt7FC8vW2tlTIaaKwgeI8o3wlEr9Hh6P0dizjjJKfybW8dIX2wMuglYPuWduzrZMUR+z07RkEQpg+OhgmFx0EDemJxDMWMaLYUr0/N41eTgNPiLbeUhUOD+HwnkHze7eM1f+17B+ZXbJk7K1ox5kThw12V+wmCMDOwN0zIFh7nMOs25+NmRHioJVW0dqFk8VrzpbHC1EAs3wlEN6rd2xiktUoLd9mi/bz94VEA5HLuinv3Xjflq8hytCBMMkp5A4IquDUvKM/fLc6r0jTBzb9rWbw+reTesgKqrKpWKBAwnBavIxK6yrHZ31fQaKwHr9rgPLG2TUT5ThiK67Kzz2cVzai85Tz6iF3F8W173JXswWH3fMGDw20snB8bx/EKgjAaDIUx5/k2ktNbHLP5dcv9uwBaobDPbbfdzH/ZcAv3trayNlHFN1wnp9eNicjzFWTZeULJupRe8SlWHnDltkhzDnNZ2mDLjkUuEg1yhrt5u29g1lgPUxCEaYiC6eNV1TThSJL/suEWqQA/jRDLdwLJuyw7m715oXajBIXd+zuqbCuXaRTmz+X0E3aO6TgFQZiaKGVLxtbStJ5sKhbNsJaawbygr03EK5anreVmYeoglu8EYrgo30BDPX4NBqPVloLcv7K+A7MaPi5BEKYHhj1IqlAwI59ocS2acW9rWVBVWWCWBFdNLcTynUDyeuWvPRhoRPlCTlcJFe9noXpbQfN2NpH2pi6vIAjeorgENVUNrorFHcFYdot3zT733F3L2i2+lks6kd1qLj824dAgyncCMVyUr6o22iHHfXm5UgGbPmItU+4Llh7AgjAVqFo8o05wFTjbAbrl7m4qC64qyqrWbMHlNYVDgyjfCcTN59scShce1VOMzn19St41dUnBwAByxmjrSAuCMJVws1D9mp81iZLitShavPG43GJPU8TnO2G4JPIBkZbyes7l6K6jajCLm8L2+635onwFYTpT9O9SaoqQzaqOohm5wjb7PPHlTk8UwzBm7Kp/LBajvb2db93yVcLh0LjlZTJqRT3n5ianstWyQXK5gOs2gJFUE6aSNfD78oRC5jJ1Kh3GKJxl9v3M+ZWvZY1bY8PRwJRtMj9VZXktLxyJeNuw3sNbZy/lqbp3Dc7B++brjTS2bwS3RvSNzqs1FjQgk2zCMHyoarrCv5stzLdarQRpTH61wh713kOwwc/fTb4bXn+fXsnKpNP88NvfIRqN0tbW5o3QGsiyM/CldQ/S1jr+K8+P7+xmJBWmZKHm+I/rNznmvPX+Uh77wycBKrYBfP/fesjmTMUZCmnFObfffyn9B+dW7Pd/7lhLOtMM6I7x7/7resBXHPu7762Zsk3mp6osr+V941sb6F3cVHdeI/TsTrGxyxtZAOv2pujt9CZor2ffCL3zWjyRBdAzkPSs+XrPYKKhwhiN4FY8w3VetYIaVfy0PbG4a2DVptZW1sbNxgl2qvp82xo4tli87uexdrix4hmN0j2U8Oz77B5M0DvHG1l6anLVoSw7e4zPZ19IqPx4F84dpJa/NxyyCm04CQZylZOxLzsLgjCdsco+2lWAXigdKf7dww9Rvh5TqmAFbkq23dYe0I1g0F3JqmrWdTzgc58vCML0wsD04eYwC2f4I8niNsvXO2N9hIchsuzsMaUKVuCmfAN1PvGmYjS0k1DQ3e8Y8LsHYgmCMDVQXPJr7Xm4xTFM67bYFMGGZflac8r3K5cl+btTH1G+HhMI5NCyY28v1NzkrnzDoYzruL/Boh2CIBwaqub5lvtpY6Y/1+7XXbVPL+b1lm+zqObzFaY2suzsMcGAPRZx9LRG3E+a5rC7UjZTkMb+eoIgTF0URSeInN2HI2L5ekxYzRIFavl1azG71V35tjS75wc3Wq5SEISpjULl0rI/KAFXhyti+XpMc9PIuPafN2cIq4ykvTxlpDmJ2/1vOOweHS0IwvTCCrgqL7IBEnB1OCKWr8e02iIUa6OgaaCWuYfndgwWHhmO8pTtre5yS8vc5chpKggTiVvDBDeqNlGoEnBVbvnqmp+Amqe7EIxlbbMX2aiQVaWJgluRje7hOs3t5VIyIYjy9Zg57dGG5+4/0MHSrkHHWHNYx/q1G3pJ+bZF3C3qks+3HDljBGEicQukcqNWQY3yeeVBVd3xOD6tpIAtCxgozmu0yEbVZg4NFNkQvEeUr8fMn3eA0j1pbbbu6KxQvnZ0222qqo6u+IYgCNMLN59vAMipeYcCtrZZ88QPPD0Rn6/HLJx7sOG52/YsqrndXnXbV+Wbqm75CoIwnXD1+QKbIq3o9sYKkVbujUhjhenOhCjfPXv2cP311zNnzhyam5s59dRTefnll4vbDcNgw4YNdHV10dTUxAUXXMDbb7/tkJHJZPibv/kb5s6dS0tLC1dccQW7d+92zBkaGmL9+vW0t7fT3t7O+vXrGR4enoi31DCmD7ee1Wv24B2OzaoxRyk2UqhFOORdEwFBELzHahVo/2/5ZO3/7Zbs2ni8ZAUnSiUnfZqfVft1uhOl+XZZPbEa8l3GpBjHocPzZeehoSHOO+88PvnJT/LrX/+a+fPn8+GHHzJr1qzinO9+97t873vf4/bbb+eYY47hf//v/82FF17I5s2baS34Lm666SZ++ctfsnHjRubMmcPXv/51LrvsMl5++WX8fjP8/tprr2X37t08/vjjAHzpS19i/fr1/PKXv/T6bY0ZXa9utWZztYtxuCtfZ6BW7TxfuSUWhEON1SrQjuXfteNaQCMe595IK92JOAE1X6z17NP85NR8hY/Y8v+6+pSr+IGFQ4Pnyvcf//EfWbJkCf/+7/9eHFu2bFnxsWEY/OAHP+C///f/zqpVqwC44447WLBgAffccw9f/vKXiUaj/OxnP+POO+/kM5/5DAB33XUXS5Ys4amnnuLiiy/m3Xff5fHHH+e5557jrLPOAuCnP/0p55xzDps3b2blypVev7UxoDCUCDOnzVkgw+cz0HWF2gsP1W9JB2OtdM41T5qwmsHdx2w+d4uoFgRheqBQsnxzQEDNmxWvND8BqIiADmIqVLntnvp4vuz8yCOPcOaZZ7J27Vrmz5/Paaedxk9/+tPi9m3btrF//34uuuii4lgoFOL888/nmWeeAeDll18mm8065nR1dXHiiScW5zz77LO0t7cXFS/A2WefTXt7e3FOOZlMhlgs5vg/cZgKsb9vXsUWZ/OFWvu7nUIG8UQpOrGpSjlKQRCmPwYU/bubIq2Oms96QQFbEdB2f7H4gac+imEYnq76h8NhAL72ta+xdu1aXnjhBW666SZ+8pOfcMMNN/DMM89w3nnnsWfPHrq6uor7felLX2LHjh385je/4Z577uELX/gCmYyznvFFF13E8uXL+clPfsKtt97K7bffzvvvv++Yc8wxx/CFL3yBb37zmxXHtmHDBm655ZaK8W/d8lXC4dC433s6oxIOaY4G94FAriIoyr7danbvvt1w1Hq2xoPBbDHKWdcV0pmmwtxU2VyFpnAKRTEYjgambJP5qSrLa3nhSMTbhvUe3jp7KU/VvWtwDo01TB9NI/d6zeMblddII/rivHL5VK5VBamcZ43Zc3qt5z7NX+z3my2bH6Ty2NyOt5H3EPSwYT009n0eClmZdJoffvs7RKNR2travBFaA8+XnXVd58wzz+TWW28F4LTTTuPtt9/mn//5n7nhhhuK8xTF+YkZhlExVk75HLf5teR885vf5Gtf+1rxeSwWY8mSJXyh5z7aWsd/5fnJXdfwxevv4Yc//evi2NJFu7j8ot855v30rmsYSTUDBl+8/p4KOaX9Fcd2c1zh+GPe4IJzXwPMZeV/vuM/AJTNvR4Ic+3V9xKJaPzD99dN2SbzU1WW1/K+8a0N9C5uqjuvEXp2p9jY5Y0sgHV7U/QuaPZEVs/+EXrntngiC6DnQLJuM/fuocYavvcMJdjU3kBubrR+M3q3/N1q88p9uW5Y/l3HWMI5Zn++ar+z6UJRxmhzfxvI823ks22U7qEEmzq8kdc9mKB3jjey9NTkZt56vuy8cOFCjj/+eMfYcccdx86dOwHo7OwEYP/+/Y45/f39LFiwoDhH0zSGhoZqzunr66t4/YGBgeKcckKhEG1tbY7/E83wcOVFSFXdOxQ1LnO2TRa4+YeVQhhjYkQcvoJwOCJNF6Y3nivf8847j82bNzvG3n//fY444ggAli9fTmdnJ08++WRxu6Zp/PGPf+Tcc88F4IwzziAYDDrm7Nu3j7feeqs455xzziEajfLCCy8U5zz//PNEo9HinEOPwki60jppKdZ/rnba1PIEGCRG6lsoll/ZaMS9LAjCtMAKwFqbiBMMakW/ryM1KS4pRNMBz+3s//Sf/hPnnnsut956K93d3bzwwgv867/+K//6r/8KmEvFN910E7feeisrVqxgxYoV3HrrrTQ3N3PttdcC0N7ezl//9V/z9a9/nTlz5tDR0cHNN9/MSSedVIx+Pu644/jsZz/LF7/4RX7yk58Apt/4sssumwKRzgaWlyajVfqS29ri7NlfMeyyvzvJVLjuESgF5ZvOhgApDycIhwNWABZAd8IsPZmzja1NlJadhamN58r3Ix/5CA8++CDf/OY3+da3vsXy5cv5wQ9+wHXXXVec841vfINUKsVXvvIVhoaGOOuss3jiiSeKOb4A3//+9wkEAnR3d5NKpfj0pz/N7bffXszxBbj77rv527/922JU9BVXXMGPf/xjr9/SqPEpRrE0pGH4K7bP6zjAuzUl1LptVUing3WPwVp21lLjDyQTBGHisaxaO8GyMfvzAKAX/lpj9uYMjTZbEA4NE+Jhvuyyy7jsssuqblcUhQ0bNrBhw4aqc8LhMD/60Y/40Y9+VHVOR0cHd91113gOdULw+fLoeWtFv3Jlf2FnH7XqP/t9OfJ6oMp2K+axNn6/TjYHI+lK5S8IwtTDbtVa1Aq4Wt2XIxjUqlq+UmRjaiONFSYAfyBHLm8pyMrl4/lzhqll3YZCOUZStW5J67vqfT5z2Tmj1V+iFgRhemC3jv1BM9XIR6XlK0FYUx9prDAB1Gt2UK3cZHF/tV5eaf1Ty+8zjyFdp4SlIAjTB8s6vjfSSjZrntvSbGF6IpbvBNAUShFPjD2NqSmcZrhmW+D6Z1bR8s2I5StMbxTDzA2thWqYObz1CBpmDm+5fNcm827N6O1zcJmDe/GMtfEG51Xx+dqLbKxNxNGTTQSD5k36eHy+QQO66/XrFb/whCDKdwJobU3Qf9A917ih/VsS7BvnMfj9pvLNp+UrFqY3hkLdIg/jKZ4x2mb3FrUaITjGEqMYaykbS5pj1t/uZEHJBrVidavx+nzrfW5ro+IXngjkyjwBzJk9xIfbx77/rFnDVbZYKUiNLDsXys7p8hULwnRFwVTAwcJfn+ZH08L4VbPsbA53y1dWnac+4vOdALoWVFbeckchmqj0yS6c30+1pgqNYuX55vMS7SwI0xUDuLel4MttKfl5fWqeHGazBcvPK40VphdiFk0ACxfUrKDhYOvWJZx28oeOsc55/VVmN658QyFzbjZXPy1JEGYKSjW/Z/kY7mN2362bL7eW37ahsaT7WBDoTsbxBU3LF0oWr/04FCTPd7ogyncCGE3/3LfeO6ZC+YbDOtYSs70fr6LohaIdDSw7+/OAYcs3FgRhVI3tR5Fz6xir4rcdz5illDUtzG233cx/2WB2Z7s30lr085Yfh+T5Tm3kyjwJuHekMwCDaLyj5r79B+YWH1sRzI3gswKudLF8BWG6owB+zY+qprn55tukocJhgCjfCcU8PXbv7arY4ius99RWjgZ9B+YVnwX8ORo95QJ+s+tnXpevWBCmK1bAlbVE6VPz+CNJR6CVKOHpiVyZJxRTwe7r66zYUrJia586sVgpXzgQyDX8ymrAjHZOZ8SzIAjTFSvgKpM0u6PlCs83WUFYkVZJw52mKIZhzNjvLhaL0d7ezi23fJVwePwNCDIZlVDIXGNOpUqtBH2+fHHcIpUKYynepqZUhSxzfwVFyREOm/um0yEMw1exj/Va9jFNC5DPq4BOU1OaaDSA5r7+PSZUVfVM3lSV5bW8cCSC5tHtrqrjmSyv5ak6aA2YY27FLVzlGZCtMy/oMqda8QxzTagUvhhkbGPWcxocG+tr5gCf5i/m9WbL5ttfE/u2Rj+PBj7bRr7PRlE9lOelrEw6zQ+//R2i0eik9HoXswi4vqeX1tbxX3n+/a7r+cL1ZqOH/99Pv1gcb2sd5Nruhxxz797YTTTeDhjFfeyY+xsEg0luuG4jAL9+4kJ27lwOwA3X3Vmc+5P/+6WKsZdePp6XX/04AX+MG67r5f/9wXXcdttt436PFjfffLNn8qaqLK/lfeNbG+hd4k3FsZ5daTZ2VfaKHivr9qbond/iiayeviS9c2oXxQDoOZioWzwDGiug0R0dXaEMe4EMK7jKHkBlBU7Zg6DKC15U23Zfszm2ZsR8XP7XbVu1sbUjZm6vhWX5Fl+zVsBVW+3PzPo8Gimy0cj31CjdQwk2dXgjr3sw0dBvrRH01OSqQ1G+k0AqXXmRjETiBeVb+7ZNszVGaI3EGn7NUMFa1g3xLAiChT0Vx0rPsdJ+gpg9ci1rtbvga+1Ouo8FMBWgAs6xkdL8tSPm2KqBHP6gn6sTOoqi4w/6WZWsPrYqmcMwfPhUU/Faeb3Wa9qPW3y+0xO5Mk8YpdV8Tatc0p7bcaDB/Ut3vbNnDTX86qGguQStS8CVIBSxGhNY/tLi44Jf1af5ySda0DU/Ps1f/Os2phfGy8fc5lvlIP2RJKGWFD41X/zrNhZqSeGPJM2uRQXFe29z6VjvFZ/vtEcs3wlCUQyMgoPFcLE+Fy3azetvn1pDglVKsrRvZ+c+qvcBduYENzXni+OCcLijGLWLSpQ3JrBbjT7Nz+pkrqQg1SQ+SqUbc+A6FiiM62Vj1eZbZ3K5DLcxe2ilNbZmJO4oxGG1F6zWuEGY2ohZNEE4c3IrP+auhbVbJ/h81ulXOo1mz4pTq8pVIlnyfQQDVpCQfMXC4Y9VPMP+3152sdzitc4uy59qWZwWDkuzuZX7bI/tf+9rbq0YG+38hmW0OC32TWVtBO3/pbzk1Ecs3wnC78uTz1sfb+WZUK8KVjiUZiQVwq5sq/cBNq3kgwfa6ZidKMi3lK+chcLMxPLvQqVf196gwO5PtZSy3dJcM1KSYR+rtc2L+eVjln9ZODwQs2iCCATLg/9HR1tbklpWru5S7OrAYKkaVkn5ylcszEwcjecpWbz26OEKf6rN4rT/dRurtW288x1+Xdtf8e8ePojlO0GEVI2REajuo61Nx6xB9vctrLJVYTgaKVq5JgaDQ7OLz0rKVxAmF8Uw04jqoRpmGlE9goaZSmSX79aIvpp/19q+ui+HL1iKHvarSYc/VaHS4qw1ZrdQGxkbjXxHRHOyNObWkMFu4bt9HrUo/2xdEY0/IYjynSCam0YYGu6g/i9XYdeeWSxZNOwY7ezczzubT6iyj0H/wAKb8jVDPuKxUp5moPjNykKVMLkYCg3lXq47mGDTrPrzuocTjpzV7miVRgh18nYNw1dM3fOryYr8WjuNjI11v1pjro0Vyps5tNbP3/U6z1fwHlmTnCBaWxv/wb7y2ikVY0sX76S64lTYv29BxWg6Y6+qBXLLKggmerIJVU0TjiQJR5JySyoccsTynSDmdBxsYFah9vP+pRVbmptzVFeeBgcOlvy7ZlqTQTY7/hKZgjAdqRZctbrPLFYRVLViNLN9qdnaVxAmG7F8J4gF8/qod1orhc5Gul479LmytLDC0HBpidlKa9J1f/lEQZgRuAVXZZJNBIPmyWNXvPeWBTrJ+pBwKBDLd4Lo6Bik3rKv358nl6t//7N7zxKOXL7LNmI4FLbPlyefB/d7KbmvF6Y3iuEMHrIXlagVXGUvmgHUCa5yBn41MlZ9TmXwU6NjVqCVY8wWYCVn8+GDKN8JojyP1159yiIYzJLL1W+LvXdvV5nyBftXFwhkyWabsJeiFITDBauAhoXVHAHKgqsKwUqr+0uK18KyeN0DnRLc11Q2lorXHXOfE5vwgCvh8ECU74RjKta9+xeybKmzqlU4lCaVaq67f99Ah+25VXaypLBVNUMqBXJfLMwEqvp3+939u+C0eAVhKiA+3wnHAAz293VWbGlrixYe1b4kRIfLla9zH7OPr1xWhJlBhX+3xSyeUc2/ay9gIf5dYaqgGIYxY3+PsViM9vZ2NtzyVcLh8UcKZ9JBQuFSZat0yp76k0cNOSOnslqAfD4IQLgpVSHPvr+13W1My6joegAwHHKsueGmFLFoYMo2mZ+qsryWF45EvG1Y7+Gts5fyVL2xBueqSyP3qg3fcW9Yb282D2YLznCkVDwjW7gpVTAwUAhiFMeKr1nY5njNBuaNTlbZ+8S9UEi9eW5z3AhS+dm64fZ5V8jysGE9mN+7V/K8lJVJp/nht79DNBqlra3NG6E1kGVnYNXaX9DaOv4rT+89N9Bz7c+Lz+/42ZeLj+fO38/nLv2VY/4HHxzJM3+6EMCxX+X+ueL2n//bX2EYQcAojj3z5/P44P0TAd3l9c2x/+8Pr5+yTeanqiyv5X3jWxvoXRquO68Renam2biosk/0WFm3J0Xv/Jb6Exugpy/ZULP0nsHKIhvlBTWgVFTDzb/bnSw1mzeDq0ZMi7eprbrfNly/+MSadP15a9KV8l3nufiBXeeNOP27boyqyEad4hmNsjYaZ9NsbxrWA3QPJRr6fTQkazDRUEGXRtBTk6sORflOEiPJyovunDkDNFZ+snRrpyg65WsVgcD46kgLwlTG8vE62gEmS+0AoVSjGQr+3VQcRRaZhSmM+HwnBYWsFqwYjURqtwi072/h81X26Q0EpHevcPjiaAfYUtkOsNgcoamN+5payaJwX1NrxfKvIEwlxPKdFAyy2cpCGvXaCrph5gY7reWgNFEQpiGKYS4z23Er9F9u8dp9ufZ2gGtSVu6vwZpUnGDhr+M1xRoWpgiifCcUKy1ovNWnbJavP1exVZadhemIoVDhl+wertI0oeDrva+5tZiXe3XC9PHe19Tq6st189uuSUuerDA1kGXnScObAhhqMF85JpavMIPQk2GuHsijqmmxZIVpiyjfCcSq3Vx4NgYJlQU1AsE85X7iYEjyfIXDF4XSsvOqgZwjn1eCq4TpiijfCWT8yreSQLDSylVVWXYWDl8MnIU0fGoef2QEMHN87wtLcJUw/RCf7wTi8+Ub9PUqjIwECm0EbaOFVoF2gsFKRRsOp8dzmILgKYph5l/Wo2pwVdy94UAA0G3jxUCrdCG4Kl2+X2NjrsfWwDy3gC73eZVNFKrNq1e72e3zcUNuRaY+onwnEKvVXyMc6J/L0mX7685T1YzLmChfYepgKDRUlKFnqHpBDTtr42ag1dqROD5K1i6UgqrWpOPcH3LutzoT5361bEyL80CgfvGJVbk4DwRrz1uVrXxNN1ZnDk2RDWFqI8p3AilFJtcvpLFnz6IK5Wtavs55bsFVqmp/HUE4vLDa/1mWr2XtQslCFZ+vMN0Qn+8EEgxYSrH+hWHfnsUVY06fsUnIxcoNBBp7DUGYjhiYTREySbOcpmX53hcuFNQQn68wDRHLdwJxWyKuxFSaIyPtlZtclG+4ubIBgyBMRxTD7M1rp5rPd81IHH/Qj0/N46PS8g1isDpT6d9drUmRDWFqIsp3AlFHEQiVz1eWu/IpBuVZvc3NCRqrBy0IUxtDwd3nW+b3tIprrErmCKmpCp/v/aHW6v7dMr/tqqz4QoWpgSjfCaSpaaTuHNOv68zlLW3TKVe0zS31ZQrC4YTl8/UHzcyBcp/v6oz4fIXph/h8J5C21mjdOaaCrbLNV3lBaW4e7Z27+MKE6Y3l87Xqo5f7fO8Pic9XmH4oRnki6QwiFovR3t7O/9rwVcLh0LjlaRkVNVSKRs7n/eRsDRVC4Up/bSbdVHW7llExDH/Ftky6GTDKxppc5pXG4rHAlG0yP1VleS0vHImgeVNlFDUPmoe3zqrunTxVb6zBuWpUNnwPGmazePt6j9lAXsGv+fCppiPGaqxgNbR3a2zf6JiCUaG8G5nnNseN0c2rTaMOpyCVn+1YCXrYsB7M790reV7KyqTT/PDb3yEajdLW1uaN0BrIsjNwydpeIq3jv/I8cs/1XHHtXcXnB/Z38PvH1mCdLvZtFg/dtZ6sFgaMiu2P3HN9UYHat937b18cxZgp99//z7VTtsn8VJXltbxv/P0GepeO/yYPoGdHht4llT2ixyxvV5rezmZvZO0bGV+eb6GJwr0t5ra1SWcjBaCYX7s6U/L5uvl3y3N6V+XiPOhzjl2tx3kI59hVxHlQKZtnOPe9Wq+fC2wdx31NDeT5pmJ183wbZW0yXtG0YsyyovGGvs9G6R5KsKnDG3ndgwl653gjS09NrjqUZecJJBypX+XH569slCAIQiWKohPEEP+ucFgglu8E0ki3Ib9Li0BBmKnYmyisTVpBVbA2FcNnC7iy0ook4EqYrojlO4GoKtTz0AQConwFwcIA7o20ksVspmA1VPDZnOU5zGXn+0MScCVMX8TynTQUcjmrGlWJQNE6louHMLOoWmSjzPK1ykr61HyxmYJl+SoFyzeIUZHDG8RgVa5y7Gq9bEw3uEqJoxgGhlII5DIMri4fU5z7irUtjAdRvpPISKKZtlnOPN3GmiIoaCMB1GaxkoXDh1pFNqzCGoCjocK94baqTRTcAq4aCq5S4jycb+VKf5xHsua2K4JxHsm1ckUgzkNGa3GePQjrakMKdghjR5TvJDKSaKtQvuGmxqpgRRNtzGsenIjDEoQpg93na7XhK2+o4LXFqRgGV/rjBA2DKwMxQCFgGFzpjxEwTKVrHptYuoJ3iPKdFMzsvFSypWJLqIEqWGCQjLUzb74oX2F606ppHDWisViHEHBdNI69vpvd+WJPifYHzawAX8G7e10mVtxm1YE7NxtjGIUYCqYKNZirJ2hHpwVox3zNtcScr6kAGKBAwNBpGRkh2hwhgGltP6yb1u6VfrF0Be8Q5TuJpFKVeZSRSMxlpsu+Lopb18EnIXPCFGF+dITPJE2/7ecH3dPsLIVn2ZD+GtusMQNLQbrjK8xbXty7JOEinBXkjLLXLMdQfMRbIkURAeBKXymy2r7U7OZndiOIwZpU/XkS9TGzEOU7KZhnsmarZmURmTVII3Vr0qnyfRW0EZVwxLtqToIwGk45OMLJmdrKrJzyX7kB5DEtzBSmdbrT72dxPs+fgiH2AWuyGXyaH0PN84wvzHl6mk1KGFSV1Zk4WzA4sSDDbkH7CrL1wrYs0ALcSxgoVZ5bh/MGOIN5AwGVlm+5z9frIhvCzEGU7ySS0SqrG83qaGwpOeOiuEfSTaJ8hclB0/jUgRyLaSw/MQ+MAIMBH1vVADuDvopQ/57BygpXPdE4nfl8YRnZbMlp+XwVzc85ahofsNrIQCZDEIOjUchgcH/QWRKwWsCVXfGuKlO8RtHMNszIagWuFJ+vMAGI8p1EtHSl8m0kFxgUEonKfdMjLUD95g2CMBY64iN8Ll6yAquhA30K/H5OAE1VzfKSYywfaOX52stLdifjBNQ8uuYv+mEd5SXV1oq+vfUIEGM1JUtZN8CnwE4dnsOMfH5Yb+VKpRQdfRXi8xW8Q5TvJJLPVfbsbZRcttzyNVytYUEYD+fuHWEFtf2PeWB7yMefW33W3eOYqJXnq+DM881RsrgrKlxp1fN8K3J6MVhFDPtR5xXwF97wgoDClZjyrvSbkdWW0i33+YolLIwHUb6TSDZbz4aoTjpVXkTf3RoWhNFy9Y40TcCNe90j7w1grwJPzgmMS9lWyK2R52tnbaJOY4WC5evaWMHvHFuTLyneBPBLXxvX6ObScx6KPt2rjcYaKwjCWBHlO2koZLNj/7jzLoo7PeJdpxFh5vGJHWmOrLItB7zeEuDNdu+U7XixGiuMtdTM0TbFOwQ87nP6iH+Pd12iBKEeonwnkZw21o/bQM9XxpSmEt60gBNmFouH03zGJVQgAfxuToDB0NRRuGAu765JxfAH/abfV81XLDvXWgL25RN0oxeXrfuA3xUU71V6KeBqQJla71s4vJEs0Ukknx+L8rUuKuVflUG2wg8sCLVZv6NS8T7f7iPlg/u6mqec4gXzDLivuRVdNQttVDRWUKs3Vjg/H2OdTfHmKCleAOsM6p+ogxeEKiiGYczYqIFYLEZ7ezt/t+GrhMPj959mMyrBkDP1pzy3Vw2nKvYz5ygE1DQ+X6koQDajYhj+in2t+aCjhtOO17HLt48lYgE0zbu0JFVVPZM3VWV5LS8ciZAdTVJsDYJ50EYhK6BDsOxMz1OSoeZB8+hWXNVBa6BihGpAtmxe0DDzcR1jmGNBQNf8+NQ82YKyDWKQRSn+tROyqWQd0Mrm+TCKy9DmWVTa302eguFQ8m5z3CjfrxqmPG8IUvnZjlmW0dj32Siqh/K8lJVJp/nht79DNBqlra2t/g7jRJadgfNXP0hL6/ivPL/b2M2n1m1yjD1++w3Ya/eUbzfnfB6AcNNBPnb1kw55WiYARtCxrznfAFJ8at29Dhl2+da8T63bxH0/XsNtt9027vdocfPNN3smb6rK8lref/n7DWw6cuxBd3bWbs3Se0RjN4zXbc040oUMoHexQtoWPNWzPcPGLm9WUtbtSdE7p348wrqDCTa1lwVcDce5t7Us4CpuNlmwN1hwBFyFWouBVxanajFOKDzeC/whYF5MV+XiPBAw563LlZacHwiU5Qjb5lVjVS7OfeH6xTMaZU06VhFsNlbWJuMVn+2YZUXjbJrtXXxJ91BizKloFbIGvZOlpyZXHYrynWAUn46hWyZKtVs00yRJRBdUbAmoGXKZakuB3lzIhcOTBUMZPjfkHNvrhycaVNpTBQWzyUKxtaDm56pEnkAkWUw7UjBQNY2rSDvOioOUFG851u227rpVECYWUb4TjM+XJ6/XXh8sKehK5dzUkiSeKb+zMygV0BOESrq3ZrCH4xnAg4sUYlPQp1sPA7i3pdVRbANK+b8GBmFgLc4OYXngN1UU75E2q/egVFUWDgGifCeYQEirW1wjENTIZiw/rpPW2THig+UWsY5ZUVcuGoKT1liG1QecY/0+eGzZ1LN2FcPM67VjFdmoGEualq8CBAJ5gsEk4F5X2vLfBjFYlXPKsqKiz7KNPcnU+2yEwx9RvhNMU0uCTLK2TyLUPFJV+bbN6Wfvhyucg0oeDFG+gpOrt2ZoLxt7ZL7CYGRqWruGAptmOc+N7uEEmyyfr6bx2XSG+ZQpWXv7I6XUnKFXdVq51QpvzM3FnB2UAlPz8xEOb0T5TjCRWQcZ7u+sOadtzgCJoTmu2+Yv2c17Lzi7HvkDWfLZ8guGtRQtzDTURIZr+p3f/qACjyyfnhbdsniCjxs14oMLCjdni3weTanHC22PN8slUDhEiNNwgpm3ZLfjue4S3bHoqC1V929uTVPeeCEYzoCjHbiFgodZNsI04JKtGa4tU7yPz1emneJdHktw3VCCsAGfqKF4+xUfGSBTmGFFPjeSygNmepF95iuB/397fx7lRnkm+uOfKqlKvbft9o4XbDCrjQNmM2GHsARjvJuQL5O5d+4sdxIm/BJPJsv5Xsh8cwN3DieTXDIzdyZ3TpKZTMYLGDBZHCAQA2GNzWJsMIs3DDbe2i31IpVU9f7+KJVUkkotdXd1t9r9fHx0LL311qNSSV1PPe+zSaEaYXiQ275BZuykQ75XGicOj2Pc5MI2gm1TjvVJZkNTD8lE8J1+T7wFc7y/TZpYwyclCr6wO1Xw7XYCD80efqWrKVh9rLPivJiCP2qvPE+R77Hbohyi5HOBo8CKVNyNerbyrf+U5/MtabZQyLJMIjAPN8hfXIw0VhAGgijfQSafSukuHX+y79QS5dtX6hrLX7A6jjfTOl6acp/MTDqcpr5oBeXpiRr7a8S3qzRYN6GxdINl8dkTaSZWIeOoprG5zsQxzVyzBa/N4Mqu0kYLaYKbLfhzfwE+b+X/Nt4hyjajwW3AEOAbLt63mL62MRQEP6J8hwz3Lrnj2IRe5mh0nWigcUxQdxmNzhNNNI3ppGnMibLy48fbgI8GeKxCLXOjrzxkN7C+BqzdslgWy0+kqabcQ4fmWsOVikO4tZ4TREwdLB3dtKtqtrDUKrwp3Sa1nIVhRJTvkKKR6Ogt8lmx/YXzufSzvw/cduTAVJrGvEvz2GN4lrR/O0DHseJ4V+FkYsV7+QKEz7Zp7K6hrkN+Lj7exdmZyk6PnUaEVxtjoLvhJ6sDlqE13PQjf8pRGnBMG93KN1tYkYrnlpuLmy2cZ8Up8e5G5fInDB8ScDWkKOxU723LThyeWXbbkYOu1dw64UigbAArKQEkJyuNiXROgThQc4q3ybL4/IEe6hWcU0bx2sBr9VF+MrGRHg1eba7PKd5yKGBDczNp3GIbaTQeqm9mQ31LrtmCY0VylkRxENZ8K868Iplh1VAWhP4it35DTnC1K01zUEovux00EsfHA54fuTDYQ9MVylFYlijfk5Xl2dg9BaRCatAQBpcf6mFOhXXf3abOsy2xAkWrKbfOrx9Dwap4QJGNRMK1gLtcC3hFj7uEHAUyPgvYtuqoa+pieSqRtYDjuS69Nvm/Lh1ywVhBgVkSTCUMNqJ8h4C8YoVyC3F6NJPN3Q3a7l4I0j3lFasesbEdA2VJveeTkaW+5eYNM+HWA71MHgKaLIvbDtv0ZntngCdaDQ6XKWmpNEoK9q9u7ywtvNHeWdBsYWXCDbwCcsFXK4mjZ8tOepbv8lRe8RZnwa/1FeQICsySYCphsBHlOwQUKt9gzLpuenpVvr3Xco5EMthpspWvhJMJszMfsHQ4CknTa7I39FRj5TrAv40x/KH+oeJZwEDOCvaaLgBEMxp3EC/4S/JnxduDclSC0DdE+Q4BESONk+r9VDe1nqAnMSZwm6ZlUMqkV+Ub9aprSF7vycbqg/nnm2cN/cqGaVmsrMLKfW5MhL1NJrd/1DNoihfyjRbAVcJeu8GoaVNvdqErei34tpbe4y4EYSjQlFKj1rkRj8dpbW3l/733burqBp6ukU4ZGLFSiySdMsFn+Rp1yZI5jq3nSkZ62z156WQMV/Gq/LakewGJxpJomvcekcA5Rl2SrnikZpvM16osgLqmJtIhLSYYNn2WVecz01K6u1TbX1mVjs0qurcznMp35072uPyYTqmsIEyntBG6pvKfMTdPFTaGN1Te7vdi/ktuTZVvgg8bcuUovYAst4l9aZGN4rHiYhxBc4Jw96tMmOsZBoXnbECyQmxYD+73GZa8MGWlkkl+cN/9dHR00NIS3A0rTMTyBS5Y+ksamwd+JXt1/W1ctOqxkvFD701n94uX5V7Pu+WX1DWWrt298G+rATh/2WNEo668Bas28e6zF3N876kALFi1CYCX/m0VoHH6lc8zZspx3vn9fE58cBbgFM1x93nqH2+p2SbztSoL4G/+v3t57NzK86rhth2w8azqEwxu35GvpPH0RDg0Ib/vsncc1p8WnhW88v0062bUgWWx+mOH+l7mJoHfTNJprw+2blfvT7JuYkCRjeJ5n3RV1Qh99fFO1rfkfbJe0Q2A06wUlxXdbClA87RyVuspDX5uNLE83VVSgGO5lcgV6PBYnqo8tjyV4KG6yhnMK5JxHmqoYl53/nMNlJVdiYJzNiBZ8USJb34grGrvDE3eqvbOqn5D1eD0DK06lFSjIWDynA8LXu/b9qle5+945oKC120zPywzE468PwOAljEJiiOghZHL7Tuc3B9nseIdDKIOfGFvkj8uo3gV8Fqzzk9OrWPtqXVlFe9Q0WRZfK4zUaJ4wWfsamDbGl1djWSsCCvSnbkcYO//4nxgQRgqxPIdBo5/OLXMFtdR1XXwNGBbbrT1lINl5sPxj93c37q2EwQ3WxBGGgWKdxIcGj94iveMQ2ku7aUaaRLYNFWnexB9uH3hwu4e6oClVio3FuTeVYAFRKOKSFO3WwnLipAx7WwkdKKgHKUgDDWifIcBlQkO+IjELOxUjOJLSXAhHvduXaXc9KPgkpPCSGOoFK9ppVm9t/yt2r46jWcm10bZSkPBH3WUV5BBitdrxOA5d3TTxrEi6FaEFWQbMaTyeb7LU4kSP3CxUi4eE4tZGAiifIcITXdQTu+5vq2TDnF8/8yy2wEyGU8Ze/f77ldo1jnIsvPIZqgU74p306WlFnEV1dPjdT6ugQYNpmWxLGFRTv0HWbvHNI2noybJrJW+sqsz55NdkUxgW+5Nb8TsLm3EEGANV+PzFYT+Isp3iDDqerC6ew9CmXnhtqzyLU/i0ATGTjsCWgZUUF6wLDuPRIZC8S74OM25AQ2xkrjB+OtmDH8KTpNlcVvCKrkwKdxIZW/c/yvfE4kwxbb5VUP5wBsNRV1TF44VAUvPlaUUhOFClO8QMfaUj/jkvTNyry2rNBWyvikfPBI/GnwhPPj+dMZOO0IklsJOlivK4dFLsqNQMwy24m1KpVm6L3h5dvNUONJksPL94a12PKPH4qpuq2wEaH6NJ48FbIjFcEyTlYlSK1RDsSLpjkdxLftodvnZW3bWULnn/mVlWVIWBhuJdh4ips97q+D1x2/1nr/y1hPXF41kWwZ+7AZrxZq9i40o15HMYCve1e+mWRageHc1w7+fYXCkaXjLkZ7bleQLxzq5phfFG8TzsRjrmptxegkEU9kGDA/Vu80YNtS15HzAjhXB7mzIKeWHY+6ch2PNBU0ZBGGwEMt3iDCbCi2LTz6YwakX7CiZlytFmWmAaMq3xQEikHEvNs3jO+g+Ui5qWhgJDKbivezDNKf3lI53AhtPj1TsJDQQNAdWH+7qdY6u3AIJFyYrd+L10nXTuPm6moILrRQX+iKevXaDfvwNGDTcfFt/IwagoB1hUBBWobzCMcNnWfeGgZvDWwlR96MLUb7DhN0T7J8yG7tJdTZR/Keom0kcqxGvL0vr5EN88vY5SJDVyMSveH87CT4JSfGOa0+zKKDjpAM8NgMSdYNv6Sod1k0uCumyLK6J20y3VKCF61C6DHdE1/hlWwO3H+0qabZQzKr2zpICFSs7EyXFLVZ0u0FYK4kTMd0UJE8BexYwDF+RDWH0IMp3SPH7YIMvthNO+4ADb8wvGa8bc4Luw425/ZsmHUEU78hkUBSvleZze10rq5htY+GtCUO/vHxOPMX8TrtsxDLk2/z5z0C3Bg+1GL0uKfcXzw8cxbWkHZ8V7Ld8xecrDDaifIeQiGFhp3vPnZx89juBynfCzIPsO3xK7nWN1DwQ+shgKN5r308zzSkdP2bAL4e4EcO1Hyapd+CPP+4uO8dzwBgUdq/OABtbjUEt6KHQeKiumRXJvBW7tCuNgYWTLcABkkYkDD6ifIeQhnHtJD6Z3Osc/3Un46uc3zZrL/tevXCwDk0YAvxNEsJQvJOOp7nxaOl4Blh/KmTMIVK8lsWKjx3KLQw7FNZeKz4qBTzZbPBxXf+Vroa7zOwnyNdq4Ob8+v23RqMqKMCh0KoqvCHWsTAQRPkOIafM3cE7PuV76N2ZTD5jX9n5ys5fptwiGsKIxIJV7+RfDljxWg51NoGKd8sE2Dd2aJTumG6LRYediheR3j7ptnqDN0Mo6qGADc1FPt9EItd6MDfW1clD9c2s6Mn7a1cm47kUJN2KYFl1aE1dFQtviHUsDARRvkPIuFMKr5Yf7jgjUPnq0QxORr6ak4Ez9sD5vmt0GIr3jvdKhw/Uw9PTh0bpntNucVGH0+foXAX0aLC7LsLrzRGWH7FCUbx9QUOxoidREKnspRuZpg0OWJab+1scAS2WrhAmcoUfRtKJ1sDxhjHtdB6dUHa/wgIdGp3Hm2gaF1C6SBhWlrxJQbBRSh+Y4q1POCzdXziWAtadCgzBEvM1B5LMrJwZBLiBVPEIvNkYZU9DtExqU3h9l6vFy/3NWb6WxeedZP570qCxsZtMWidqOCUR0IIQFppSatTezsXjcVpbW/nWvf8/6uoGXkTeTkWJxHq/OtnJwveJ1KVK5ihHx7GM7Pb8BcqtaEVuvPrXCjSFZlZ55ayCVEILrWm9aZo1KQugrqmBTLTvGZhGpnC5NRWFaEYjHSm7S69oCmJFngdLByeshuk2WAHHpinoi8fD0iCi3GOrhKbcvN1KmE7lhummKm0eHyTfUG7Alwb0Wh9OgVLg6K5V7PmB02g5P7D3uuA9fT7i3HsGzAvCnRcOBqXno9+yAs7tQOVV+j6rxQxRViqZ5Af33U9HRwctLS3hCO0FsXyBs257iobmfl4Vfex86CbOXPFEr3N2/2YhySPjc68nXfgGY079pFTWz24FwE7B7M89DcAn22bS9c7ZAEy54Xk6P2nmxMsXAWDMeJe22Yc5vPlaAJoveAlzfDeHN90EaGCkGb/0xQF/Ro89//fC0JrWr1mzpiZlAXz9O/fwq/l9rwO8dGu2iAOKxxa42uvm16M81nths0Caj8NnDxSOJSPw8JkD/816LNtls25m/sbw7HaLi9urq/PUpcNjUzWs7HLM6r0p1k4Jat3QP27/uLti8/XV7Z2sb66cS3t7PIEGJelPxYVYNQ0cR8spw4fNZpZbhQ0YyuUCF+f+rkgmeKi+ijzfnniJj7q/rOxOsL4lHFmr4omKedZ9YeWJzorfZ7Wsag9PltMztOpQyksOMdOuKVSAHz8fHMHcMOWQ+0TlrdlJF+zDy+09sOkaxp12DDTXck6+O5emcRbEOgA48cKVNDUB9cfdnS3JTRoqrnwt//w3Zw8sUG5MkeJVwLqzBiSyPJbFoj0p/nh3iksqKF4F7GzS+MnsGBtOjeUUb61ydWcXfxRPYFKoeL1lv+LP6gC2rROxdDfK2UqIz1cIFVG+Q4xp4tbfy6ETtEp66nWv5p7ve/K83PNpi5/JPtPY95tPMftzz+S27f75Dcxe/iLeJWX3z69n9tJXcC8lcGTtleF8CKFX2hzXIk2jSA7AABxzHG4sUrzrz8FdLw2RMZ029Tb88QHF+Ar6JaXBQ1M1fjo7xisTa1vhQl7pznAKb4L8Srf4I1u4fzHFnY+KGzCIMhYGgijfYWDiBYVNFnb/snelaB+ZkntuNllQ7wZX2ccmY1kw/trns1t19j41j2krfpN9HWXvc6cx+w5vKVwTBTzIXLc1//wX8/pv9Y4LUrxzCdVRNK7T5nM7bW7ZX3nu3nrXyv3PWTE6B5CPOyRkMlzf2RmodD38StezehXwM7OJ9XUtpNF4KNZCOm3mmjBkcJefvQYM0nxBGAji8x0Gxp+9j8Nb89as0xUc9azHLJyUGxZyaG+Myae6S8yzlz7P7p/fBMCBh65n9h1PcbQuAclmnMOnANuJTN2D/fEsnA/nAB+gxSxUKgroHFl7FfWLtrjL0kKotGRrNnVGnH5bqG1H4fqP868dYMN5Zaf3mdZOm8/ur3znndbgiQkaR4Y4Hai/nJlMcqGVpjdPuN+36ylgB3KBVCsstyGEZ916BTjAvViusOKBLQg9gpotiIUsBCGW7zARrS9sOXP07RklczQNvCXj7heuLtjWnGtRGOXgzgnMXvZ7cv7gh25k5tW7cvvu/vkNAEy4/TncJBDo+cVVHD8ewgcRctzgs3qf/FT/LrgTihSvTXiKt6nbtXQXVVC8n5jwk1MN/mNWrKYVb4NlcWNHF58/3kmdgkt6UbzFy8w7I1H+vbGZnzW6luxD9c1sqG8paEH4cKwZf36A1wc4qAWh90hny1f6H2IhC0GI8h0mTr3x2YLXh7fOC5w38fJt2WdagW94wrwDeJeUntcXAIX+4N3rLvMtN+uolJu6NOH25/Gq69pPXMWR/XJhCIvG7KX/cF3fo6MBJh6Ba32KNwM8FILibehxle5te3v/g39mvLu0/OtpsUFtOdgvLItLEj3cfryTL2QfKzstJtuqZPku6LZHwz2fKeBnjc1sravv9e20rFUbxfX9Rprytao9y1csWmEg1Nhf2OjBbCqOstKxAmrRN83IV8U68NANBdumLf1N7vnu9VdhNlmYE7NpS3YLncdNxlziBW5pHH+rDYAJt78AJN3hF67kyLZwUhJGMzf7rN7f9yOdaPJhuOZg/nUaeHiAirfBsrl9p83SPeX/0NMabJwNPRHY11JbVu6C9iRf+KibegVf6LQ4K917hySP4iCqbmBtXYyftzRXrS5V1qr1fL8Px5pz/l/P9ysWrTAQxOc7jDTP+JDE/um51+//8jrOWfnbknmNs/fTtXsGxZdQsx4izSewE2MgU4/VaTLt+tfY/fMbAY3Dm69h9h2/4cTLFmBivzWXo/bbjJ9/mAm3v8yRjeeD1QLvXsCRjt1MuObDQf28JzN1Wav33XF9t3qnHoYrDuVfW8AjA1C8pmWz9P3e/7jTGmyaBck6b6G2f9Z62JiWxdJjGRoGWMpcw3W6WJr7V7MklYJUCgNY2RXQbKEnXjJW7Nf1/L9RYLlVuM1feKPY52tkS1pWc8zC6EGU7zAy/crX2fmzvPIlFZyXMunSneze7fqEd6+9htm359OLZt76Uj74apOrbKet+A0HHnKLa+z++VXMvuPp3Bz19tkc7TEZf+kBJix7jSO/Pgs6JsEnsznyeAMTbt01OB/2JGbR1vxlc8esvu078xO41FdjpQfY1E/FW43StTR4bDZYsfAKdITBpceTnNXTv3rRUBixvNU02NlQFzh/1YkEG5qKmi10Jkqa3a/o7ixpPbgiFUeHnOXrFd0AKhfeqLLIhjB6EOU7zGiRDMrOfw2Htp3J5AtKFWC0uZNMogmc0oW3lgteJ77tU4DGvqfmMfP67TTM/oDu3acB9Rx9vykb7QxgovaexpGUwYSr9jDh5nc48mwHfHwGdE3myIYGJqx8reQ9hDJYYGRXJF6Z0jfrcdYhuPhw/nU38Hg/FK9p2Sx5v7RVn5+UDptmg2XWjtJtsiwWHc1QH7AWXFxxqtyY//VjDTE6Qir2oWUtWL91G8W1pr3Wg/6mC5L7K/QV8fkOM6d8+tWC18d3zgmcN/nG53PP9z9V6FQcf9YhvGVD+/ApWBZMvvS93Fj8lcsBmHD7i6Bnfb0HZ3DkiTPc8SsPwtlvuuN2C0fWXjKQjzSqWLzdvfwrFB9NrX6/0w8WKt5Ore+KN2rZrNxps7IXxZvUYd3p8NBZkZpQvGMsixUHu/kvH3Wz8kiw4oXgJVgN1xd+NKKxpdHkp2Mb+GlbEz9tayKpEZrihWwDhrrCiOYMoGcLb+Sins1myf0V+oVYvsNMiy+gykXD6jRLArJME7RoBpWJkjk8DdhRsH3aiiezS8353N9Tb3+SvWuzy80p98I0YdXLHHnoYsjUw/EpHPlVhAmffZsJ89s50vgi/GEhUMeRtQtdZS2Ux4JI9v71qVnVOynP+BjO933tHRHY3JcgrQzU2bD6/fJTkhF4ZBY4NaBwLz6e5Myeyn1/i7GB15qinNuVYf24cJLSNdxlZj8GsKI7YCyZyEU9Q17h6mTTjkyb5Vah5RuU+yvWsBCEKN8awGiJk47nu2i8//hVnPO5J0vmTb72JQ4+cTmgcWh3A5Nn58OjTROi446SOT4eiHL0vQmMn3OElgveIL5tPgBHHl7AhOVbmbDiFY5sXABWE8QncmRTlAmLtzPhdIvOiVvo+dVVgMmRtZ9mwu2/H+RPP3LxrF4HRee46vY56yOYfyz/+ngEnuyL4rVg9TvlN/dE4NFhVrqagqUHuxnTj6ApB3inPsLL4/LulXO7wuvGpaBPPt+Csaz/d0mna/1GzG4eNrM+XytR4gf2kFaEQhCy7FwDzLxpS+GAHRwsUj++Ey/EpPulK0q2z7jpD7nn8Vfd3N/xZx0k1zc13cSRh93xCcu2Ql32otA9jiMbPwVAUwvUL/KOJ8qRtZf3+fOMCjrzVu9jVZaRjDqFivdItG+Kty5ZXvF2ReA/T4eNZ0aGRfFO6LS4fa/blKFO0SfFq4C9MZ0fT6njp6c0FCjeWiTa1IVpJsWiFQaEKN8aoLTZAux7PrjoRuvcd7PPtMCGDBM/nU843b3BVdCz73g6P8GvgJdsg3q3CxJWK0ceugCApiZoXbYF97IY4cjaUkU/2rltl2v1pqmujOTZ70LUd60+ZMLT51T/fhOOwm3vlo57SvfRYVC6UzotPpftgnTLYdWnvr8KOGRo/HSSyU9OaeCZ8XW1V9ijCH/hDSCXcrTCikvnI6HP1PavfRQx7qwPCl537T01cF7beXtyz4uLbgA0zTwCXlG8dCPH94wFQItZ5HI50005i3bCba9DU9YcyzRzZO2nAfeGYMLtz+JeJnWOrL1SylECdMJtWzX07J/OL+ZVvtjeshXOSuQV44EYbKm2LaAFy94srHzl8R9DrXQtiysOpfh/drsK98bDilgfdE0a+ENTlB+f0sBPTmng1xPrcaIjx/PlFd7wFsG9hgv+4CsJuBKqRVNKjdpbtXg8TmtrK9+89yvU1Q18qctJRdBj/S9W4CSLTSiFFkuXzFOZCNj5C66rWP17ASmfLDMN6QiYNqSK4mKjGYgosCKg9NJxKN0nlsaxomAOsBKCh6XjGOH8DLW0hh3i9VxPg21o4Linz48N2OXCjBWYAa5KW4NMNbpSQbmfktsMQCMdos41bALlRRwYyFejcNOcBvLtmo6bn9wbmgJVhd4zlVdc1bcvpcdn4DZbKBxTpLOFNDK4KUeWVUddk9uMwdtWbr/C91QlijpoXjHufpVxjz8cDNyiLGFhqPDkGaryb6NaUskkP7jvfjo6Omhpaam8wwAZObedg8j0xc9R3zTwU7F/49VMWfpcv/ePvz2NxOtn+kY0mq7ehjmmdH25/anzcI6NAUAZCdpuKYx+tjpMEpsvzb4wIJbGXOzm71q7xsGbp7vbMlHIWJgr/+AuYz92EaBlx9OY2Zxf67cz4Phkd59UFA2NTEqhcFCajR1LkZ6URE3sgvHpPnX0afr1GewNMu36wYzfnsLrl7eHIgtg/rPjiKYVuu+i+Ek0yesXldmhEz6z3cxZxh7vj08x/USMX83v/eas5Thcu0dHC7gIf9xk83L253Hz61EeOSe8K+LSnYr1sw0aU2muPQhj0v2ruNQVAcOBn0/vvXZyX1j9YQ/r2sKJdr79aGdJwFUQKzs7SwpjrOjxFdIwm1nalVdvBYU3zKKAqzJBWEEBXZWKcazoibOhsYrj70qwoTmcsrErOxOsbw2vBO2qjgTrx4Tzfa480cn6seHIcnqGVh2K8q0hWs4+QOLNOeDkL9yJ31xK2+pnS+aOvf5Njq1bCBjQ2caxXU20ndmZ2262WtRf/BY9r8x1B1IGVmcUsymDeeZxnDmvkHn4QlzPg4m14WK4bhvmylexfnkGdI8BDHf84tcxr9sP7Mfa4O0DhpddqkAl62nYp8E+qrw3L+S0zdMKXvcmw79N5UbcfwYa859x71o9BaaB71m5HNJgVePf48OGJDvnBx+T2QlXbY8VKGmAt6Ym+Wim+3z6qwE7ZjnlIFz0cbDSfX+8zfaZ5fcdEJbiso/c1KU/eq/vtlJKg+1jYWdbfglg5Qdh2Vy1hefz9fy7EUPHsuoK0o7E5ytUiyjfGmPCLb/nyOOFAU7HNl1A2+JtJXPbVr/IsXVXABq8fgGdpzxb0KO3YdZxUkf34ezOXrl/fQFWQwfmLbvQdVxr99WpsDer+H57ARadmCt3FlrBr3wK65UU5so3MFe6EdXJTQvouPY96DTR2k2Mow1E4gZadww9W+c4r/xKFUo5ZVfNdv+2oHmxXmo99efG4N2mJHuC498wD8HVe2IFx6FQ/GFWKrdQ0Bvz3oPT46XrvQrYNs1m/6Q+H25FzvxEce5hqmpSUExag91N8PJ4DUaQvzYMvMIbXsrRCuJEzG6w9ALLVxCqYXT99YwAzCaLSEsndtynRXuaSO4fS92M0uXU5qXPkXjkSgBSv7ySpiIreexF+zjW0QzHsomo3a2uNXvFDszJXZgXfYw1/+O8oqUJa8NFcPOrrhX82DluPjAxd/yKrZiTs75eExhnocZZWKd10l8GtOycASwwkwZ6QmPyrgnsmdVFuj4DEQfLcFfQnQj9am4///lxgYp33Mdw4b5SpfvCvBSdVayCXfY6TLJLla6D4rk5DsdDdDmN7VR8+gA098MgtYGPG2DLBHDM3gpYnlxoqMBmC/6Sk1HyftWCkpNWabOF4lzfoAYMYjWPLkT51iCTb3mZj/7zuoKxrhfnEZ36bImxYZrQ/JmXSDzp+nePrbuCttWFfue269/i2COXgeXb+blzschasyaw8lWsZ06Do22ABr++GGvMMczbdmIdj8JvL3DHn7sQi2T/zKbBIOo+rIY0jAPnfWifEZCDFRJTPoB5hwuVro3i2QtSWFWck+u3QnNAy/c0iqfOdUgGp3j3mQs/VJx2ou/pDAo4asIzkyBZN3qUbTEKKjZbWJFylbNu2rluR54FDJULbwT5fIXRgyjfGqXlwh3E/1BYgaFj40LaVpWWfDTHWdR/6j16Xp8DaBxb92naVhdVptIU5spXsJ6bDYfGZwdjrhV8+h7M849gXvMBVuc++LWb78uJNqwN4+C2V919N56XLQBSh5aC1scK82XynlcHuz5Jz9lHYFKqXxZnrTF7B8yJF2pGC4dnFlgVP59pweVbTQwgVqR4u3WH35yrBn6OLMV1+2FCT98CpRTQYUJ9BtadNnqVbTUUN1vwLN9eS06KH1gogyjfGqV5ziHifziHgkupMki8dirN5+8tmd9w5kHSn4whc3ACEOHYwxfRtrw0wse8YjeWtRs2XQAq+/W/Pwvr/Rlw21bMpgysfAVr07mQanTf/7GLsaYdwFz2JtYhE56bT9AlXsPNf1XoRHuaMbcFr796fldXUdvoaDS9U0/ntB4IJ3AxNKJpuPHFQqWbxGFLFUp3/rYIk4vTtLIcN222nMuAMu2buhTX7O7bKctocLARXjgFHDP/HS7dKQqiEsU+Xy/qGWAFcXQrUtbyFYRiRPnWMFosnWuI4GG9OwPrnL2YAUucrVe+zbENTeDUQ6aeY8+fStvle0vmmSawYhvWvrHwitdFKeIq2QmHMK/ej7l4B9bhetiSdXgemIa1YQrmyq2w8lWSmxYQv+k934GB/kkT5v5moica0DPuTysoIMpV0Cq7zY3wnbx3POytHBBVGOmssHFIGxZdU5J0n+LWuo50Q3031HWYNHfqxOIRjIxOJPteXvRzXwPBErrNC5f07jhtOgoL3yuNevb4sMXmD8GNq6piYjtctFvHBG7dXXl+MgLvjIO3JwK6FIDQcNNwKlFNswXPsoXshVR3iDqwwornfb1WcLOFIJ+vgWJFT+/HZlR5/PJN1z6ifGuc5qu2kdhyQcFY4tFSv65H28pXObbuckCHj2ZwbP/HtJXxgZoz22HmK1ibz4ZE1v90ZDLWhklw82uYE3tcK/ihT4EygYi7TH1OQDsdE5zpnSSnVxF4dcwktmcM0WMNRJImFCjjYLRc+IpW8FxHx0wbNO5vhP1tKBQLXm7LbffLDVLsQduKx440Zth2Xu/F/S97MUpzmT+nDIrXzkxx3gd1/VK8Mz6B+Qd0olVcUhVwtB6enlFo2QouSoP1VeS/ropXbrawIpngOS3GFSrpOhOiChQFy9EDzf0tZkUyXnJcgfO6xdqudUT51jjm5E70sR047a2+UY1jT8yj7Ybtgfs0L30+FwHNi5diTS7NEy54j5vexurW4ZcX4K6Dam5aUqwLc/EOzBWvY70/Fl7Lao6dp6MBLY+diUKRNntIXnTILa5RDW0WqbbDpLIvq4p2TkLDcZP69jqMEwZGT5RoJlKiYKFwWRvAwcm+Jvta4egKO6pIGw4ZQ2HV21gxh2S9oqcx7QZPmW60cznFO/Ej+NT+WNmbhr0T0+w6zVdU44PAaYHM+QjOPqQTqULh2hrsGgtvnCLKdkiwLJY6SeqAz6hkwSalIK1pbDSaWZYWBSiUR5TvCGDsDW9wbN2VhYPtY7EON2BO7C6Zb5rQfMvzJH7p1m9OPHIFxHq33MwGB1b+Aeu1KfD+dHcw1ehaugt3YJ7eDqe/grVhAfjyeDU0YlYjsd+fViDP8+emxndgXXRk4AFFddA91aJ7au+RzGFXuCrBgmu2mphlnLVx0+HFeZX9wUHM2wezj+pll6z9KOCpmXC0RRTuUBFB8blkPCBW3f0+LCDqaBgO3NZpYzRJwJVQHlG+I4TmW14i8ctLcf/M3Qtu4pkLA6tfAZhNDo2XvkXXS3Pd+WUCf0r2O/8gnH8Q65H5kMk6ll88Fwu31KS5ciuWBerxC1ERGy0dLes71YhSf7SN+l+3FWxz46HTJM8+Qmb2yLAOznwLZiaCrdw0ij+cmSJeZU9fPws+gGknKitcBRxpsvn9LMB0y0uK4h1cJloWF2ZSjKXUh6pwc6DXxVowLYsVKulm30UVKpsGnwGxgIWyDLryve+++/jmN7/Jl7/8Zb7//e8DoJTi29/+Nv/yL/9Ce3s7l1xyCf/wD//AuefmU2tSqRRr1qzhP//zP+np6eG6667jH//xH5k2LV+GsL29nb/6q79i06ZNACxevJgHH3yQMWPGDPbHGnLMJgtj+mHSH04sGD+28RLalr0cuE/dzOOkj3yE9cEpAK4VO/VDzE8frPx+S9/AOm7Cbz+VHTEK0pKShiJxU9E6qgPG3ibMD8YT6S6/HKuhEcGk8e1T4G13zF9e0ktYSutpEtO76ZjZBQ0VDzl0Iu1uT4riaGf3GGHPZIv3ZvWxuYQFl74Lk1OVF5QtXbFzisOeKiplCQNngmVxdTKFV5X6hkwqcF4S1zljAJ9PFRbicAA72zlDtyIs9xXe8DdTCArCEgt5dDGoyvfVV1/lX/7lXzjvvPMKxv/u7/6O733ve/zkJz/hjDPO4Dvf+Q6f+cxn2LVrF83ZYIi7776bxx9/nLVr19LW1sZXv/pVFi1axNatW4lE3B/3HXfcwYEDB9i8eTMAf/Znf8add97J448/Ppgfa9houewdjm0YX1D7mXSM7ncm03DWocB9mi/8gPZjzTgnsiWTPp6OtWGam7tbKT91nOUGXD03Cw5NcAffn4X1/szC5rQeOqRnd5KeHRB0dcyk/p0JGMca0FTv7Xhyy9lOjNi+GOP3jQ2c5ylpK5ImMb2L+OzsEnwGzB5oaTdpbI/Q1BUlmnKtS7/Kq1TiMogTMZuX5/atcQQWXPSmQSwDS7eX/+wKiMccXjhdhVZsQ+gFx+GCZIpzMpmyGV/ecvIraFwEvBoxudxO5X45NrBXi3KKyvBwrIUVqThR086VnfQX3vAHXpULuBJGD4OmfDs7O/n85z/Pj370I77zne/kxpVSfP/73+db3/oWy5YtA+CnP/0pkyZN4uc//zl//ud/TkdHB//6r//Kv//7v3P99dcD8LOf/Yzp06fz1FNPceONN/L222+zefNmXnrpJS655BIAfvSjH7Fw4UJ27drFmWeeWXpQJwHNt/mCqbL0vHEG0dmHyirTsTe+zrGHP+3rZZfN3SXftag3zCv2YFl74DHP36ujZfJFNlwVmCE16zjWOe3Bv6o2i55Pf0RP8XgSmp86k2RTCjMRJeJEqlaKnpKus2PU7Y0xYa+77nvRc+MKArH8/5eTU7zNP5ZG8crcFJ19aexiwYK3ooxP9f4nZqPY0+awfQbSXXsI0BQsjydoLLPdAV7UNRY4qqB7UNSyuCKd4grbtYbf1yJMVzYKjVOUjQG5whv+6Ap/4Q1/apJYucKgKd8vfvGL3HLLLVx//fUFynfPnj0cOnSIG27IN4KPxWJcddVVvPDCC/z5n/85W7duJZ1OF8yZOnUqc+fO5YUXXuDGG2/kxRdfpLW1Nad4AS699FJaW1t54YUXApVvKpUilcovJcXj8ZI5tY5pQuysvaTeObVgPPHI5bStfr78jhEHc+lWrN+eRb5wcHYpedp+zIXBlrP/fVm5tTDqOYurAg3q90yifk++E4BDmsRFH8PUEpWbpw5URHFw4dHyczJQd8Sk5WATde0GkXSkpGVf8fEURzwHKV6VHbU1hR11yNQ5WDGb7sYMiZYMnS0O818ZxzMXBi8/lmDBgu1Rxlu9/1l1Rx1ePlVxorXXacJAyGSYl8xwejJDM4X3NcUp8t3AxmgEp6GBsZbFp1MWdcAdXQkv9j/HUTQ2Z9v+TevJpwZVKrzh+X79lq8wuhkU5bt27Vq2bdvGq6+WVlg6dMi9yE+aVNiuZdKkSezbty83xzRNxo4dWzLH2//QoUNMnFjo/wSYOHFibk4x9913H9/+9rdLxvc/dgV1dQMvVqysKB9vvLLyxKrlRTj26MIqZ+tuRHQsON3HsSKkNmXzhc1MYZ3nAzNIbZgBURsiVdyRxzIoK4IyHDRbR7ODLVUdg9ZXC3vhOYZdEr2ipTVOfXpq5fcF0NyUY5sAX6sCPa2RiSrXxKlyVVkDomhEUxHqUhFa4iaTs25xPa245g/lfxuaA1G7sq2ucFOcMlGNCDqX7a3u2MoRtaurSlVtk3nDhlW7w2kFaDiw+kAvN1x9xFSw+lhw/riG21C9WElWIo2boqUpqAf+n4wN8UKF6HcQeMvPTeQbLnhFN9zjCC684VDq+3X3rb7ZgvJ9Mrf4R+VcegNYmaiuGEelX5GB24M3LAwFq070vxFLsazV7eHISiWTfD8USdURuvL98MMP+fKXv8wTTzxBXV15x5WmFf6pKKVKxoopnhM0vzc53/jGN/jKV76Sex2Px5k+fTpjF71KfdPAT8XxRxfSuiQ4+Kk/nHj0EuoDWgl69DyywG3Z48d2qF/6esnc7k0LsG/ZUTi4v5nIH2bnX2ciqIzCWfRmRZ+m9ou5HL1xT8m4fsxkzB8mE7WCBehp95KmUFh13XRcdZC2Z2az+9rKQWDVMOvpKbwRYqrRvOfG8fwlhelcp+zXOX1/Xa85uA6KT9oyvD3Hyv2VffqlRn5zfu8pX9VywzaDx86tPO+2HbDx7Mrr2cvedthweji1nVe8l2bd9PCc1qv3J3m62WB+V5pJtns6q1G0XkTyAR2ebTFwTJM7DneR1KBZuRduP93AH+pj7DVNVnUkKjatX9nVGdgcIWf5Wq7/1990YaPhbvNbwR7VFN5YkUzwUH0VRTZ64hWP3/0MCTY0VfqciaoKk1TLqkSC9a3hyFvVkWD9mHBq0jrJoU3+Cf3dtm7dyuHDh1mwYEFuzLZtnn32WX74wx+ya9cuwLVcp0yZkptz+PDhnDU8efJkLMuivb29wPo9fPgwl112WW7OJ598UvL+R44cKbGqPWKxGLFYrbTjGTj1S7fS8/BFhQFYmRg9j82n/rY3KguYkcCe8Qa8NoXIHncVQUMj8ov5ODioZcFFPHrDabM4fuP+3GtzdxMtb09AdwoDjTQ0YslGJv7mdADmbD4lm4KkyJgZOqckOT4jQVnn3FBiwby3Yozv7t0fnUax6/RuDkt0ct9xHKb2ZDi7w2FiNp7Nf6ZviZe3yhWuJftWHbzZVA+6zpSkxXndGcZlFDMd+KMTabwGgKZbiIou4NX6GPsrRR72Aa3I8i1uuuClHYnPVwhd+V533XVs31540f4v/+W/cNZZZ/E3f/M3zJ49m8mTJ/Pkk09y/vnnA2BZFlu2bOF//a//BcCCBQswDIMnn3ySVatWAXDw4EHeeust/u7v/g6AhQsX0tHRwSuvvMLFF18MwMsvv0xHR0dOQY8G6pe/Ss9DF4HyKWCrjp5fnEf9ojerE3L+QezzD8IzpxNpd7Wdjg4b52PrKVjyTr+Pz5rdyVEv+tmBxu1tNOxvRQvw2WrZaOSIZRLbZ9K2r7SprYNDBpueyRYnTj2BNabfh5Y9QDC7obHTpL4rQiylY1g60S6diK1jonHtK+XvADoNh9fn9WANQyrUSCNqWcxPKGZ2KRoVgcUqesMBOoCnGyDR1EiDZXF+t82UtEO9gguScEGydLnbU84dEY0WW7E2JKsrCIWWs149/2+x7xeQ3F8hfOXb3NzM3LlzC8YaGxtpa2vLjd99991897vfZc6cOcyZM4fvfve7NDQ0cMcddwDQ2trKn/zJn/DVr36VtrY2xo0bx5o1a5g3b14u+vnss8/mpptu4k//9E/553/+Z8BNNVq0aNFJG+lcjvoVr9Kz4ZLCwZ56en41l/rPvlW9oGvex7ZAe/Ic9GxRjogTc5XwmGNw7YGBHagOXfOP0TX/mPs6Ca3bphI7Vr3m0tEx0TEPGbQeClaKFzw9rk9pRJWinf3klpPPtCQ6uYj6ZJoZnRBz4PP7klUvD3u4fnFIAC+PhYNNJg2ZDMsPOvRoUKdgLLC8G+juKtnfAXo0OGTobG2I0B1g0d5+pHS//qIF+Gj9vlzP/+v5fqPkla6/3WBvub/FfmCxmE8ehqXC1de+9jV6enr4y7/8y1yRjSeeeCKX4wvw93//90SjUVatWpUrsvGTn/wkl+ML8B//8R/81V/9VS4qevHixfzwhz8c8s9TC0Ruexn7sSIF3NVIz+azqb/p7eoFmaBu2YndGUV/6my07JJ25EQbbGzDPuddOCukYJo66LjsY9p+E+DztWDM/iaajtRhxg10pVWtUHvrVlQu6rl4jn9eGsU7p3dzZDQuJzsOp56wmXcMWrMxbuW+BX/wTtB9ibetB9jZCPua4KwujclJRZPt+mAjwBjgxnagPV9KtCm7swOkNDgW0XirMcqh2PA1i/ZaDPrxop7BZ/lacXRKfb5BEdCV/MCSC3zyMCTK93e/+13Ba03TuPfee7n33nvL7lNXV8eDDz7Igw8+WHbOuHHj+NnPfhbSUY5sTBOsIAWcaKHnqX6sBDRlcJZshw+bibyaD8qK7DwDtVNVFxU9EEw4cXonJ04vE8noQP0nJmM+aiJ2wiCSiQSWaMyrUYWjKRxDYetgRx1sw22skKrLkGpQdDdZpBoo+KsICrg6WbnwQJrTutzo1v4UrvTizzVgvw5JHSYoaLBdmZ5CbgAu7HIfxbG2Dm7P4R4djsQ03qvXuPq4w7oJteD87x8KDcuqcwtvCEIWqe18ElFWAbePcXMq+sP0BPb0N+CNyUQ+cAPZNDSwNSY+7gZL2dgc+/Qe6Edt436jQ88Ui54pxwuGw452rnkyMKMDTj8CYy3XcixWnHe8VV0JzLMDVmS9X42dfe6tOwVZtv73neFAcTaYA1gadEXgk5jGO80a8Wos1+PJynNqBC1g2dlAETGT6CiWpd2lZm8JWgpvjF5E+Z5kmCZYN7+M/esiBaw0IhvnY1+4B2b0o7jI/EPY8w/B72YTOV64NBYhwsTfu4pYoUgbSU5c+9HAOxmNZiyYdgxOOQ5ju91evhqFS+qrq4ynK76kl7NqHdzAJL+V6s31XygUef+srWUfOqR06I7AlB54aIpOMsQo4pFCYMBVdtnZsSLYVh11TV0FhTckCGt0Isr3JMRsAuvm17B/fX7JtsgfZqH+oHCufAfG996eL5Crd2MD2uNzsU0bo6vwAquhYabrcylECkVi0jGSF5/oxycZHUw6BBd9qAdW7Srvq67WSqo+9EwnX/3JBjoN1y/7xhjArD4HeMV76ZpVvJqCVfHKSs7AzW+tNKe3gCsv7SgKZEwb3crHq/gt3+IgrHLyvNcrenovxJE//iqLcXT2/jmld9bgIMr3JMVssrCuew37t6UKWEMj8uzZKGycm97qX8cgDdqv9eXz7mmiZdeEXBEN/3u1fDKelsfHA26q0PH5B3Bm9EPxnyTM/AjmfRysbIsJChALisR2y2S6DysC3SZ0xGBWO2ybBI6WXQXWQFdue+eY7VajiiiYnoB1c8IpslHLKA3Wt1RONVrVUUXxic7OkoIXK3qCC2VsNJpZ0pXPVS5n+QYGXPnGqinEAeEW41jZLRb5YCDK9yTGHGdhXbED+7ngUkgaESKb5+NE0qibdw5omdia1cnRWdk7bQuado6n/qNWNKfwvllHZ/wbM+ANV7HYZKNxTkKiFszaHWXKUQOvPMfiV3v/k/NqTTu6+38mAlZE0WMoemIQr4P2Rrj83Sib5vYqCnD9wR+Mr6zkT3m7j60RharRstZtxNCxLLfyV5DlKz7f0YUo35Mcc3In1mU7ybxwTtk5um3AL+bj1Pegbn43hDeFzk8dpfNT2WYJnTDmtVMwOurQfIWGNTSiRCHtVrjy41l2Dg6JsV0cmVsj1a6KaD4KZ34Qoymt57os9YbXYclPMurwxnSHT8b34Y1lLXDEoNB42GxmadbydawIjmmLz3eUI8p3FGCekiATy2BPiBM54IYkBykBvafeLagxsQMu3xveATTBiSs+yr2MfmLS8uYUosnyJq93bBEijGlvYcxzpdWuChT0mG6OzR2ELlUKZryvM/OQSRS9T8U7gtDQsCKKdyfZ7D6l8nyhdtF8TRY8vNaChWPZqOdGRRoNLB3dirCkK43RWBgBHVh4wzfWl4YMQm0jync0cfGH2Bd/CE/NIRJ3Hb0OTonvMXK41VXCs47A+R+HfhiZSRbHP7Mv97pt82yOT4/TdKweoydKJK0XWMjlKFDQJ5oZ87xrQSx4ui3U4z39UH2f91GArSssQ3Gi2ebAJIv5u8JrrCAMPwp4qKHI19pdvtnCCstV1LppA2BgVRUB7S/GUU0hDpBiHCMBUb6jkevfw7ZA/8256Gn3JxBkCUf2TIA9E7DnfQhzjgdJCgcNTpzRxQl6Kf1nQcuBepqONBDrMtAzOrozfGuvjqZIRxVdDQ6Hx1p8PFFJapUQiD/qOY0bbBUFHF8EtGNF0CHXetAfAe3PBxaL9uRBlO9oxQTn1h1w3ETfclbO0gxUwtunw/Zp2AvfhynDVKXHhPjsHuKzeyltacHsLVPZM6cTXYHugG6D5mjZ1xpatveuZmtoDm7Zymz7X5Q7j9yYRkOXwYvndWGF07VMGIV4ub9e3i+41upGo5nlxImY3egoVwFbETKmzcZo1vLNJAqsYfELnzxoSqlReysVj8dpbW3l6/d8lbq6EFoNWhHILimFgbIiYIYThVpRlg1apro+M8qwIaOjjHCOTUvrOMXNVfstSwtNFoBuaWRCisaOpMGOVmGtK4Wq0Ns6moF00a2z5mgUr9YbNhRlf6EpqpoXhOYUNtAKwrDBCrHphOm4lbFCkaUgXYWsoHNUjKG8JoW+/SjNwDaAdC5BLO/LTWd9uN62KK4FDK5V7Pl4PUvZP999r7wfOF10wxw0FpwPrEo+Q8nnpPRzDgSD6r6DqmRV+X1WQyqZ5Pv33U9HRwctLaUxJmEjli9Q/9k3qGsa+Kno2XQB5uLXQjgil9SmC2BR33vqBvKL8+iqIpLZeKuN2PsTe52jZa/SKg0nzjlK8tSBWcOTnpzJ+9ccGpAMj9OemRxqecl5z43jhUvC6YRz2UtNPLWgcn7zdVtNfv2p3m/ibno9wuNFqUa3bofHirLKbtsBj5xTeHVaulOx8exC7bjsbYeHzqisfVe8a7N+du93Iys/SLNuel1FWdWyen8ytNrOtx/pqirPtxpWdSRKfL5BrOjuDPTJej5cz7+7PB0nato5C9itB50katq95gX3xQ9c6o+OV/wMK7oTbGgO55yBW9QjtO8gnmD9mHCWpZzk0KpDaYomFJCee4zOJW9jzTpWca6uIozbMYmpv5zFlF+eStvzk2HklOEVhJpCoZHONmGwrDoeeGANllVHGq3EYhVGPmL5CoFY8w9jzT+MuXUS5oeVOyZoaMQ66pn621mAG0UdP/MY3eW6EgnCKMYLwiouL5mBXOTz39z7t0Qs3U1NMm3XMia4J7Aw8hDLV+gVa8EnriU89USf9tPRGbNrAlN/OYupv5zF+GengOhhQQDyhTfS2f9zz42W3P8bjWacbAxJLhgL2BhtZmPUnb/RaBareIQilq9QFdbFB7E4SOzFUzA+KQxGKG5GH4SZqGPqlrxVnDitg66zTgza8Z7saApufatwzLBdH6+3XWnu2NKdqmRsWVE5SU2qSw4a/jaDHn6r1Wum4FnBms8a9poyeMFYuhXhtk6baFNX2baEfSvGIQwXonyFPpFa+BEpPqLhV2dgNaeIHa8vKYgRVLjDj45O6wdjaf1gbG7slFfH0j49QfdkKUJRFgvauqCtG6IOnIhBnQ0RJ/vAbUJ/PAaTeuDRczSW7FS5gCsv0GrZ2w4bzyoKuHpHtO9godCCC2+UCcIqGPNSknzBWEBBSpKXjgSlRTmKZQUFXAnDgyhfod8cv/ST3PPocZNxr08k2mMUKN5qrGKApuP1NB2vhzcKx+2IQ7o+Q2JiD8dndp0chSwyMD4OE09otHTr1Fkahq0RUW7eMcCSP5RGHhe3F2xLFm+HprT7AFi13Z25bIcqsHg1cRGOGDwrOEq2OIdpEzG7S0pULk/HcxavZz0LtY0oXyEUMuMsDl97IPe68d0WmnePRbcLLaygIh69EbF1Ip0mdZ0mE3a3lsjKxGy6xqY4dmoHmdYyQgaJaDeMiWs0d0Vo7ooSs3SMDERst0iHHvA5P/uye/cQ1BbQo9y2cvPz2wsxLYuUaRJ13BzejE7O8hVGBirr112WTrAx2szyTHCJyqhp56pnSTGOkYEoX2FQ6DojTtcZ2SUtC8a+Nom6Y6VL1H1Vxn40NIxUlDGHoow5lM8DDbu289XPB+cR9keBehRv81u1lZRseZmFPrxUUUP7qONavoZdusxs2G4ObyUMG1btrlByYZQYXRpuDmwlDAhsfFDOD1w8lvMDZ8qXqPTXiPaiooP8wMXHYeDmIVf6nEL4iPIVBh8T2i/JL1Hrx03a3piI0W0EKt68AtICrcdawb+kXtrcvm8aqLf5tqawIoquqCJmQ31aJxpwXjQgo8G+MTCtw1W2fvyW72AX2RgNKKjYiB5gZVdnlY3tg/3Anj8XyFnAkC09GXVLVPprRPuLcnj75IpxBBXeqHBsxZ2bhHAQ5SsMOc44iyPX5JeoJz0xk8T4HhqPx4haETRVvi9uLSjmYt9rOcXp5FoeunMMdJK6TUoHOwq24c5xdDcK2dEVtg5T2g1emWUz70ON5pRGRGnUZzTqi2LRkhE42gBvToKuJlj8pivnlLireDN6/n/IW77i8x25eBYwZK3irDWc8fmCPQXs9wNLPnDtIcpXGH40+OS8jsBN0U4Y/8EYGtpjRC29omLW0HDon08z6NIUQc/Ky7+nVuVSudv9V0P3LQjXORHqHNAyGipZ/mJ4+ft5KzSjKY43OLw1HeLZFfCg8pJKy5eXvG1HcLTzI+doudQjYeTh+YAhbwV7FjCQs4LFD1z7iPIVappMExyafyJwm3kC2vaMoeFErKAHcG9pTv2hnDwna0I6Gjg6ZCIKy3BIxRTddQ6JljTHm8lFaOdqO1vQ0g3juqC5R6M+pRPLaG6wlqMRdTSem2NzvJcAMk0pFr9VeAMQtRW37fS2w5K3FYatFeT5Lt2pJM+3RinnB/YrTf9rzwo2fNawZwUX+4Fz+cCpUt+zMDyI8hVGLNYYOHj+iYKxWm6skMOEuAnxMeDa24WBTtdtNXtVvABoGr+YV3jhvGW7xqaixgqL33ItYD9LyjRWEIYXr/Wgn+LcX38jBo9KfmCvKtayTHDurzA8SHlJQRCEkwyVbdDwwANrpPxkjSKWryAIwggmKAjLQBExk6xZ80BuTJaYawuxfAVBEEYwCq2w2UK0GX9gvLfsLBZwbaEppUbt7VA8Hqe1tZWv37OGWF1swPKUpaOZ4fnOlBUBs3Lhg6qwImCE6NdL66iQ5GlpHccI52eopbXQZAHolkam97TWqomkIROtfAHUlEJpvc+LZlSpLKWgaL9oRiNdlL7rNVjwY9iUzAs8NgdUhVt2wwYrxNt60wErJL1hKkiHJMtQbsGLSmhUV3fEANJFCtIrkJGfo0rm+Me85wYKx4pgZQOuvLHe9i1/XCr8zxnmdxCSrFQyyffvu5+Ojg5aWloq7zBAZNkZ4KYd0DTwK6z2i3nYt+wI4YBc9F+eS8/Nu0KRVf+rszhx0/uhyAJo3Xw6H3/mw1BkTXlyBu9efTgUWXN+N7FmA64WvtTEExeEU4Dihm1GScCVS1EQ1ptaScBVEEt2KtafFs5dxsr306w9pT4UWQC3H+hh3YTGyhOrkXWki/WtlQteVMOqE4mqimxUy8quzpKAq2KKi25AmYCrTDy3rOkPuArat7jZQjErkvEqi4kk2NBcxbzOBOtbQvoO4onQvk8nFtJddpWI8hUEQRjBlCu84a1LRUF8vjWI+HwFQRBGMOLzHZmI5SsIgjBC8FoM+jGqtHyLC3Z48oThQZSvIAjCCMFfXtJjoD5fYXgQ5SsIgjCCEZ/vyER8voIgCCMY8fmOTMTyFYSRiFIs2l75Yhq13TSiSkhjheEnqLFCMUF+2776fP25wwaKFclSP3BhbrGbRlQJA1iZqDxPbgFcRPkKwkgkoLFCELe8qeXaDPbGbeGlpwv9JKixQjH9zvONNLPMTpT4fpelE4HNHPy5vyuScR5qqJxLu6K7+jxfQZadBUEQTjqksULtI5avIAjCCKZSY4WIpbPcjAemHEkQ1vAhlq8gCMIIplzAlW7aRJq6AdfK8gKv0tl0pY2GBGENJ2L5CoIgjBAqFdnQfAFXmaJ9gyxfIyDIqzgIS9Tz4CDKVxAEYYRQqchGbiyTYGPEHVuSThMzewKLbSxLJ3jYLAq4skoDroTwEeUrCIJwkqGhWGa71mvEcL2L4vOtLcTnKwiCcJKh0NgYaWZjpJl02gTE51traEqpUXvrE4/HaW1t5ev3rCFWFxuwPGVF3M7fYWHpEFLDetI6KixZgJbWcUKSp6d1HKOKn2EVjdz1tFadrCrRLY1MSG0+I2nIRMO52EUzGulI5XmaAlXFWxo2WFXIqwbTdn+6YWE6YIWkI8wQm68bij40ma/8ptU3ttf6NBaxdHTTBiCNVrCtGnnu68oYVHc+DEL+DkKSlUom+f5999PR0UFLS0s4QntBlp2B5A3vopoGfoWN/epsum5+N4Qjcmn81RmcuOn9UGS1bj6dwzfsDUUWwIQnTmX/dR+HImvGb0/h/WsOVZx32jOT2XXVkV7nnLllAm9c3h7KcQHMe24cz1/SHYqsT7/UyG/OLw6D6R83bDOqKp5RLYt3wPpZZiiyVu22WDu1PhRZALd/1MO6tqZwZB3rZH0VhSCqYVU8UWWT+U4eqq+iSEVPqf+1mOVW70U2cmMh+3zDLrKxviW872B9aziynFhId9lVIspXEAThJEN8vrWP+HwFQRBOMop9vo4VEZ9vjSGWryAIwgihUp5vwVjW8jUaFY4VKZ/na0me73AgylcQBGGE0J883+W222ShuMGCN0/yfIcHWXYWBEE4ifGaLMgSc20hlq8gCMJJhj/gymuyoGfHistRCsODWL6CIAgnGf6AKy+5zVt29povbIxKwNVwIpavMPw4cPozkytO09IaZ26ZUFGWIAwFGrCyq3JjeAM3h7fyvNLgp6A5fQ24iuL+WUShxPKtJuDKwM3hrXz8sDJReZ6oexdRvsLwo8O7Vx+uOG3O7yby9lVHe51z9pbxYR2VIPSKgiqLT3TycKzyvOWp0gIaxVQKrsqN2eEGXIVdZEMQ5SsIgnDSoVVp+YrPd/gQn68gCMJJhvh8ax+xfAVBEEYIWgX/btCYZ/nqVoTlZjxXbMObJ0U2hgdRvoIgCCMElbVa/ZTz+T6iZ/26TpyoaeeqXHllJr19pcjG8CDKVxAE4SRDQ7HU8Vm+vn6RfstXfL7DhyhfQRCEkwyFlrN8b0ukMQwr19O32PIVhgdNKTVqb33i8Titra38zT1/TawuNnCBVvgN68OSp6V1nBCPTU/rlZvWO1QV0qentVJZDii9unn+9wicE4BytKqcWXoa7JDafEbSkImG40GLZjTSkcrzqsWwwQpJnmmDFaKj0FSV5ekKVBXvaajqGr5rUDEYKagRfbXzNFSJ/GrmBc3xj3nzDRSZ7GeIWHqB4o1Cbn4lefnXlTGo7twaQDqk34ehwpOVSib5/n3309HRQUtLSzhCe0EsXyB+/QfEmgZ+hW3+9Rzab9wdwhG5jP3NbA7fsDcUWROeOJUD1x8IRRbAtKems/faj3udc+rTU3n/mkMVZZ3+zOSSPN85v5vIrquOFIyduWVCSZ7v2VvGs+PKY7nX5z7bxvYrjld8z7nPtvH65e0V581/fizPXtxTcV41XPFyA788L5wboM++EWHj2eElKyx922HdjBBuQIHVe1Osm9gYiiyA1Ye7WD+2qfc57Z1VNVVfdSLBhqZqclE7eai+93krehJV5+8G+VWDxio1Tajk313quM+XOXF0K4Jl1RExk4CreB+OtLh5vtn3WZYu/QzLU6U+3w2NVZyzrurzfKv5rqphVUeC9WN6/21Ui5McWnUoqUaCIAgnGV4zhQceWINl1ZFGk7SiGkMsX0EQhBGMP7jKyD73mimsWfMAdU1dueXmXJGNtARcDTdi+QqCIIxgvOCqR3S3gMYjejOprvrc9gywUW/JFddIZ3sCbzSkyMZwIpavMPw4ro/Xj+41UfAFVOlpza3dXDR27rNtBbIEoZbQyhSyCBqr1DTBXzzDH1zlt3yXOXF0I4Ju2kTMbqKQs4aXZRJuoY60r8hGSopsDAeifIVhR+mUDa7yB1Sd+2wbO648lvvfP+ZRoIgFoQZQWUvTT9kGCRUKaPgbJniBVl6QFZALtPJT0FAh4DgCA658wWYreqTIxmAgyleoTRw3kllPa5z7uzbQyT3XbZ+1K5auMIrwN0zw+3eXOXEUWr6UpGnnajp7vl7x79YW4vMVahMd3r7qKE5EUddtM+a4m+6j2xpORLHjymOuxSu/YGEUEeTfzeDWbbY7G3KVrLy0In8jBfHv1hZi+Qr9w3HzeHtDT2uc/szkiqJy/t2isbO3jEe3NaxYlGRTBD2bwe+3fIt9vnpaY95z4yq/ZwY+9fzYivOUWNbDjq7cPN7eMJSbw1sJAzeHt/I8xYqeQnlBBS+K/aXlimeU8+X655cdsxMl/l0NRRS3epVu5JeZPYvXs3a9Y1qWSZQ9jqDP4P/sBm4ObyXcc1t5niYGOCDKV+gvOuy+9mCvU2Y/PaWqIhunPTO5vM/3GVcB+/EsXwj2+YZdZEMYXpRGxaIMfSqeUVd53opksC/UXxijmqIY0Lsvt9iHGzTm9+velkijlI5pJnGgoGxkxOzORTYvdYLfM7CJQsViIvHqzm1XgvVVFNlYlZCSliDKV6hVPJ9vdpk5NxxR4vMVRjye79Yo8uEGjmWDqG5LuzWaLauuoFyknv0fyEU2i3+39hGPmVCbeD5fQ/H2NUdzz3dcfcz9X3y+wgjGa3af9jW993y4aZ9fN9VVn4tejjX2uOlDTd1AYf5ugX83Iv7dkYBYvsKwozmU9fl6FrA3du6zbeBQ1ucrlrAQBlqZ/Fd/bm6lvFy/n7acL9fv041CgZWrlI5hWiVNEfzPc9HOfv+unSjJDw46fm++MDyI8hWGnd7yfP0UN1EAyfMVBodqcnPLNTko56/15+P6GyCAG63sb9AVa+whjYaeVY4FvtwgH3FQ/m5QM4cAP7YwPMiinSAIwjDhpQ5ZVl3Bw78ELU0RTk7E8hUEQQiJckUw/P/704Qihs5iy8Y0kwVpQhnyS8rllpj9S9bCyEMsX0EQhJAIKoLhL4YB2SVmK5JLE4o0decUb64Bgt6S2zc3FhCgJcUzRi6aUmrU3jbF43FaW1v52v/4a2J1A28krqV1lBFexE+Y8rS0jmOE91Xraa2yPL8Tq4Isu0iW5ri+4IrvWfQeelrDrmY9R1FVxXg9DbYRzsUtkoZ0SGtNRkYjHak8r2p5Nlgh3YqbDljVnFvl5vBWwlCQrjQHSBd9oeUKXvRlXnGQlH/MLytozLNadStCOm3m0oSKrVxPpv95f9+zf5+zinNbxfek9eX7DOl+wVDV/daqIZVM8oP77qejo4OWlpZwhPaCLDsDx67bh9lkDFjO+N/M4vANewd+QFkmPnEqH3/mw1BkTXlyBnuv/TgUWeBWt3r36sOhyJrzu4klAVdBnLllQknAVTHnbBnPtstPhHJcAOc/P5ZnLkyGIuuqV+t4fG4oorh1O2w4feC/WY8V76VZe0p95YlVcPuBHta1NVWed6yT9WMqz1vV3lmxyMPKzs6SYhErehIlBTVWJPtWGMMfVFVNANVSJ8Ejmjt2W6eblwtuABW4hTD0rFL2Aqj8MgIDuIqDvKoMrqqumEicDY0Vzm13dcUzqmVVIlHV914NK090sn5sOLKcnqFVh6J8BUEQiigoydhHH25f04S8doDiux1diM9XEAShCH8RjHI+3FRXPXZnQ4kPN9bYk/PjQjZNSGvJ7ef5cIsLaojvdnQhlq8gCCOe4mYAUNgUvqDgRbr6hgb+dn0GqsC6rVTq0RuLAkuVK9/f9N6zmv1jnpXt/wz+YhllmyNI8YwRhyhfQRBGPAqt10YIXhMEz7/bmy8XKGhk4CnZiJnMW7dm3ocLeet2qcr7fJeqUrke5caq8flK8YyTA1G+giCclGg+i9CzGD1LslJZx4iZt2510y4IlPKs2xIfrsr6cFWpdSsIxYjPVxCEkxKvRORGo7kgTzbIX+tvXuD5a71GBh5+3201PlzvufhyhSDE8hWGn4DGCkGUNFEIYPRmrdcOmoLVx6poWK/cNKKK8yhs0q5BYL6qt9Ra7N/Nbbd7b83nVZbyKB4r8N2q0kjloOjl4rH8ZygdC/L5agE+3yD/blATiBXJOJUwcPvw9obcOgwOonyF4SfbPrASQY0Vijkn2wFJGD6URlW5l6uPd7KhivzRlYkEDzXk563o7gzM3w3072Z9qJ7ihcKcW6jeX1vspx2ILzeIoAYJJXPS1efv+s9Z2Xndico51BWUs9A/ZNlZEISTHoVW0LQgjcYjWrM0LRCGDbF8BUEY8ZQLrlpuu2lCEUsnUlTW0VtC7i1YSopgCIOFWL6CIIx4goKrvLrKdmcDQL55QR+CpaQIhjBYiOUrCEJNo+H6eT38xTP8Y0HBVR5BFm+lghflxvzvGRQ0FRRcJQjFiPIVBKGmUWgFQUZlmyMEBFd5ObpBjQw8+jvWl/0EoRhRvoIgjHj8TeyjZDtNZq1db0wKXgi1hPh8BUEY8fib2Ke63NaInn/Xi2oWv61QS2hKjd6yBPF4nNbWVr72P/6aWF1swPLchvVOCEfmoqf1yg3rq5YV0Ih+AGghyqv62Bwq3i7qloYdXptb9DRkouFcsKMZjXSk8rxqMGywQpIFYNrhNSU3q2yWbigqNnKHbDN3n9Is11A+A7nIZq94hr+xfboPjeeraUbft4b1lU9INfOC5JeVVcV3oCk3L7tXWVV+n9ViqHB/a2HJSiWT/OC+++no6KClpSUcob0gy87AwWsOYDaZA5Yz5cnpHLj+QAhH5DLtqensvfbjUGSd+vRU3r36cCiyAOb8bmJVhTGq4ewt43nj8vZQZJ333DheWhiej+3iF1p44oJqVERlPrPV5JFzwrlSLNmpWH/qwH+zHqt2W6yb2BiKrNsPd7G+tXKBh1UnElUWgugsaCaw3Mo3G1iWcX2sXm1mrwECuJZvQdEMrTlXPMNPtb7bYsIsngHZAhr14TStX5GMs76KAibVsCqRYP2YcBrWA6w80VlVEZZqWNUeniynZ2jVoShfQRBGFP6Si150sefnhdLI5tw8JT5foXYQn68gCCMKr9F9caMEj4JcXq057/PVxOcr1A5i+QqCUNP4q1dBYQMCr9m9bkRyaUVBFauCmiH45UlurjDUiPIVBKGmUWglDeU9f6zn6/Xj+Xr9jRI8+uLzFYTBRJadBUEYsRQ3THgUWVoWRgZi+QqCMKIoLvnob5iwhIQEVwkjArF8BUEYUZQrqPEILTyKBFcJIwOxfAVBCBVNwaqOyj5Tg8KGCVC+SMWyTKKgoIZXKtILtNJxrV5vfnHAlV9WUHBVNUFYpcefD/yqOC9deZ5Y6qMLUb6CIISK0qiqwMOqeGdJUYkVPQkejhWOLU+5RTWWZdyiFsvtOEBBoFUGeBR3vyUk+hRwFUTVRTaiVRTPyFRfZEMYPYjyFQShpvGKaniWZpR8WUp/QY1iy1csSaGWEZ+vIAg1jZdq5BXUyPi2eb5eL9JZfL7CSEEsX0EQhgUNxYqeUl/r8lTpmGf5eqUkPcvXs3gNVM7y1Xrx+Yo1LNQKonwFQRgWFFqwz9cs8vlarq93mZ1vouDh+XqXkMj5fD0836+fYmUsCMOFLDsLglDTaFlfr9/y9fAsX7FohZGGKF9BEGoar5FCOZ+vVLUSRiKaUmrU3jLG43FaW1v56//x18TqYgOWp6f1UBvWV91kvgq0EGWBe2x2SE6LSBpsIxxZeoiywD22TDScC3s0o5GOVJ5XDYYNVoi3zqYTboPzajogG9CnxvbF/0csvSDa2dvPnw9cjfzgY6s8r1pZQbnL5eWFgwGkQ/o+jRAb1oP7+wjztxaWrFQyyQ/uu5+Ojg5aWlrCEdoL4vMFPrzqIGbTwBuTz/jtKey+9mAIR+Qy++kpvHv14VBkzfndRHZceSwUWQDnbBnP65e3hyLrU8+P5ZXL4pUnVsFFL7Sw5aJkKLIArnylnl/MC+em5ZY3NR4+Mxztu+wdm3XT60KRBbB6f5L148JpSr76WCcbGivnta7s6gzO6S3KiV2WLu/zdawI0awC9uf5en7gwc7zLfZPD4TlVryq81YNK7sTrG8JSVY8EVrDeoBV7Z2hyQtTltMztOpQlp0FQRhRqGwqkb+hgiw7CyMNsXwFQahpigOuckU0mhS6FUHPBlv5i2xIEJZQ64jlKwhCTeM1Ukj7/9ea2ai1kE6bOFYkt+zsFdmQICyh1hHLVxCEYUErV1AjHdzkQCuyfAGMRuX6fYGlxHOBVv7WgsXvKQi1gChfQRCGBYVWtomCn2WZwuCnpU4+kGqZiqOTD7xKU7nwhiDUAqJ8BUEYUWg+izYKZEy7oMORFN4QRgLi8xUEYUThRTs/omX9v+R9v3ZngxTeEEYEYvkKghAqGm4ObyWCmih47QOL5/kb2xf4fD3/btb3CxBVsFSLF7QZ9Bfe8Mvyb+vtPYM/p1jWQv8R5SsIQqgENUwIYkVP9c3oy/l8lyrXr7uUeG4Zz0lHiBo2Ga0PhTf6UYyjknIWhN4Q5SsIwohCC7B8Pd9vxOzO1d30W76S+yvUGuLzFQRhRFHs8/Vyex+hxX2eNnHSkvsr1DahK9/77ruPiy66iObmZiZOnMiSJUvYtWtXwRylFPfeey9Tp06lvr6eq6++mh07dhTMSaVS3HXXXYwfP57GxkYWL17MgQMHCua0t7dz55130traSmtrK3feeScnTpwI+yMJgjCMePm93sPz+S5VriXr5fQuIcESEsQaeoCs71fFWaISJbm//kfQmFjIwmATuvLdsmULX/ziF3nppZd48sknyWQy3HDDDXR1deXm/N3f/R3f+973+OEPf8irr77K5MmT+cxnPkMikfeh3H333TzyyCOsXbuW559/ns7OThYtWoRt27k5d9xxB6+//jqbN29m8+bNvP7669x5551hfyRBEIYRr8KV9/Cs2Edpzlu7vjGv5aCTjuT8ap4V7J/nt4o9S9p7iIUsDDah+3w3b95c8PrHP/4xEydOZOvWrVx55ZUopfj+97/Pt771LZYtWwbAT3/6UyZNmsTPf/5z/vzP/5yOjg7+9V//lX//93/n+uuvB+BnP/sZ06dP56mnnuLGG2/k7bffZvPmzbz00ktccsklAPzoRz9i4cKF7Nq1izPPPDPsjyYIwghAoWFZbseniNGdC7QShFpi0H2+HR0dAIwbNw6APXv2cOjQIW644YbcnFgsxlVXXcULL7wAwNatW0mn0wVzpk6dyty5c3NzXnzxRVpbW3OKF+DSSy+ltbU1N0cQhNGB5lt2NlBEG7swzWR+uVkplshyslBDDKryVUrxla98hcsvv5y5c+cCcOjQIQAmTZpUMHfSpEm5bYcOHcI0TcaOHdvrnIkTJ5a858SJE3NzikmlUsTj8YKHIAgjH+VbTi4ovJGOYHdJ4Q2h9hjUVKMvfelLvPnmmzz//PMl2zSt8I9AKVUyVkzxnKD5vcm57777+Pa3v10yPn3LVGJ1sV7fuxr0tMbsp6cMWI6HltaY87vSG4z+oKc1ztkyPhRZAJE0zH9+bOWJVaCn4aIXWkKRFUnDla/UhyILIJqBW7aHc8E2bFi+y648sRpZDqz+MBmKLABTwepjlQtjVIOBm8NbeV5pQY1y84qLbBQvIxtKlaQVGQ0KJ50tvIHbeMFfetJTxEENGKopsmGgWG5VPv6gIh7B8mBlVzjL4wawKh6SLAWr28P5bXjyVoUkzwxRViqZ5AehSKqOQVO+d911F5s2beLZZ59l2rRpufHJkycDruU6ZUpeUR0+fDhnDU+ePBnLsmhvby+wfg8fPsxll12Wm/PJJ5+UvO+RI0dKrGqPb3zjG3zlK1/JvY7H40yfPp29Vx3CaDQH8GldZj89hXevPjxgOR5zfjeR7VccD0XW3Gfb2Hb5iVBkAZz//BhevDScH/3Cl5rYclE4iuTKV+r5zfmZyhOr5IbXojw+NxxZt26HDacbocha8V6adRMbQ5EFcPuhLjY0VS54UQ0rOzurL56hVZ7nFdLwKNcwobigRmDhDUqbLpQtvFFFkY1qP+fDZuV5y604DzWE8x2s6EmwvjkcWasSCdaPaQpFFsDKE52sHxuOvFXt4clyeoa27EXoy85KKb70pS+xceNGnn76aWbNmlWwfdasWUyePJknn3wyN2ZZFlu2bMkp1gULFmAYRsGcgwcP8tZbb+XmLFy4kI6ODl555ZXcnJdffpmOjo7cnGJisRgtLS0FD0EQRj7FPl+v8IZj2EQau3PzooqC1CMpvCEMF6Gr+i9+8Yv8/Oc/57HHHqO5uTnnf21tbaW+vh5N07j77rv57ne/y5w5c5gzZw7f/e53aWho4I477sjN/ZM/+RO++tWv0tbWxrhx41izZg3z5s3LRT+fffbZ3HTTTfzpn/4p//zP/wzAn/3Zn7Fo0SKJdBaEUYbn84XCUpLe2OJ0GgMLx7ADLV9BGGpCV77/9E//BMDVV19dMP7jH/+YP/7jPwbga1/7Gj09PfzlX/4l7e3tXHLJJTzxxBM0+5ZJ/v7v/55oNMqqVavo6enhuuuu4yc/+QmRSL512H/8x3/wV3/1V7mo6MWLF/PDH/4w7I8kCMIwoqlCH6+hFEu0AJ9vdkzLPvf7hj3/r56OsNSIl5SeLPb5ijUsDDahK1+lKv9oNU3j3nvv5d577y07p66ujgcffJAHH3yw7Jxx48bxs5/9rD+HKQjCCMFv1QIs0RI8qop8vsVjKjuW3W8pcaKGnSu84fl+obwPWRAGE2msIAjCSYnms4Y9hauTD77KtRvUxMoVhh5prCAIwkmJ0jQeVc08qvK5v47hpnr5my5I7q8wHIjlKwhCqGiOYlm6ivxdpViqVTfP7+PVKvh8g8a851EFDhTk+5bN/XVK/cB+Rd2XPOXq8oGF0YQoX0EQQkVpGo/ZlXNMb4skeDxVed6tsQSbMr3PWxxN8JhTOOc2Pe8H9nzCXu6vk45gW3XUNXb1O/d3qZNgY6SKPF+7+jxfYfQgy86CIIwalOY2XbCsOh54YA1pNFl2FoYFsXwFQTgp0QKWnQ2l0Bq60DMR1qx5AAPlRkaTwNDyqUmSaiQMNmL5CoJwUlIQcJV9ntbyTRc8gnr9ijUsDDZi+QqCMOLRlOI2vYrCG9n/I4ae6/nrBVwVFOWootmCWMfCQBDlKwjCiCcoyOu2SFEQlsoHYS1OpwE38KpcyclqAq4Eob+I8hUEYdSQs4DrFWlNg7QeaPmKVSsMNuLzFQRh1OD5gf1NJ8XnKwwHmqqmGPNJSjwep7W1lbvuuotYLDZgefXNDThGeKdTT2vYIa1NRNKQCaeVbE6ebYRzgYqkFZloOLKiGUiHuJ5jZDTSkcrzqpJlgxWSLNMGK0T9YCpIVzFPg4qKyXAUmaI5miptKB/VFBlVJEtTFJebiFIqr5goWUvWfxyq/Jj3fySto2f7/EaBtFdkQ1O557l9KRwrfl2OsOdVgysrHAwgHeJvzVDhyTNUeH8HqWSSH9x3Px0dHUPSblaWnaHX5g194Vvf/X/ZceWxUGQBnLNlPNsuPxGKrPOfH8MLl3SFIgvgspebeObCZCiyrn61jicuCOdS8ZltBo/PDUUUALduh41nhbNAtPQdh3UzBn6TB7B6b4p1ExpDkQVw++EuNjRWLgSxsquzpAlBMUtJ8IuuwjmLGhJsPlY4dlNbgs1Hi8YmJPhVR+HYZ1sTPN7T+3suaigtxNFb4Y2l5AtaeLWei5stDH2RjQQP1VeeVw0reuJsaA5H1srOBOtbw5EFsKojwfoxTaHIWnmik/Vjw5Hl9AytOhTlKwjCqEHzlZlMA07URs+4yxH+NoPi8xUGG/H5CoIwalCaxmNOPu/Xn/MrzRaEoUQsX0EQQkVTikUNhWk4UU1x87jsUm/WqIxocHNbYT3jCPDZluIUnip6hCvF4mhpnm9Q7u9teqIgBzhi6KAgqiF5vsKQIcpXEIRQUWj8ur3IbzsmzlMfNnP9tARbdrk+uqvO6uSZ95u45vROnvrQnX/djE5+c6Rw3xsnVs6nVZrGpnSRz9dIlM399TddWJxOY2Dl8n2BgpxfjyVInq8QHqJ8BUEYEq6fliCqw1VndKIp1/K99rROdB2unz40ikwLsHyNeoWTiYjPVxhSxOcrCMLgo+B37zaRseGlV9yI74ztLijbDjy9u4mndzcNuq+12Ofr1Xu2rDrJ8xWGFFG+giAMGZqChRelqNcsojpEa+AKpCmFaSbF2hWGFFl2FgQBDVjZVXnp1yC/NFsON7iqcE4EuPrMTiKaa/FaupmrpRHR4drZne5zDW6cUBSsheLW+grvqRSLjYDgqkjlgKuoAofCVCN/qcn8Zy8MuDJQLLOrOWeK5VbleaL8RxeifAVBQEGoRTZ+VRRwdUtrnKd3N3HtrE5X6WrZGGbNXXb+7V53/rWzOgMLb1RVZKOfAVdLiaNDSZGNwIArX+GNpar6IhsbjSrmpSWAazQhylcQhCHhmtmdRHRX2WYUuecRHa491Qt0GlyCAq5ylq8i34JQrFBhkKkBj4sgCCc7Cnjy4+aclfvbvfnnGQee+qiZpz4a/EAnf8DVY04zjzn5JgsZyAVhScCVMNiI5SsIQsgoPju22G8LnznF9eteOyvv3712VicacP00dyyqKW6a0M8iG330+XoFOPw+36VaHIXbeGEJCTQt3xCiuPCGWMfCQBDlKwhCyGiBjRWKC2/cPDag2cL44MYKlVCaFtxYoRefr9d0YYnm+nydTIRo1Cat5f2/ft9vkM9XEPqLKF9BEEYNWhnLN+NrsAD5yGd/1LNYukKYiM9XEIRRQ5DPN61pBQ0WIG/5SuENYbDQlFKj9nYuHo/T2trKXXfdRSw28D6rpmliWVYIR+ZS39RAxghHViQNdkgN6wEiGUUmJHnRDKRDWoMxMhrpkBrWAxg2ockzbLBCut01nfCaiAOYiqoauWuoikrIcEqb2GtKoapodl/tvJL37KMs/zZvLJLW0aM2aU3LNbY3tHyD++Jm98Wvyx5byPOqwZUVDgaQDvG3Zqjw5IUpK5VM8v377qejo4OWlpZwhPaCLDsDDz74YChy1qxZwwMPPBCKLIBv/M//wQuXdIUi67KXmnhqQXg3BtdtNfnVfDsUWTe/EWHTuaGIYvFbsPGs8BZ0lr3jsP60cO6AVr6fZt2MulBkrd6XZN2ExlBkAdx+uDu8Ru7dpY3tg1gcTfB4svK8W+tKc3hLZAXk9Abh+XyBXByXl/O7OJ0mFu0Bqvf5+hstlGOpU32e70N1IX0HyXhVedvVsLI7wfrmcGQBrEokWN8ajrxVHeHJcmIhWTpVIspXEIRRjZbN+Y0Y+Zs28fkKg434fAVBGNV4fmDLqss1XPB8veLzFQYLUb6CIAiApjm5yldi5QqDjSw7C4IwatB8KUYeXtpR4LKzyi87G5oU2RDCQ5SvIAijBm+J2Y9XcOPWfgRcCUJ/EeUrCMKoRvNZvk4mgm3VUdfQxRJNAq6EwUN8voIgjGo8a9iJ5lPnvCYLEnAlDBZi+QqCECqaVtrkIAhDKW6tq25eJXlBTRTKzivj8/UaLEDW51tk+RY3VjBQLHWqeE9UVb16xbIeXYjyFQQhVBRadcUn7NKG9UEs0fKN73ubU+zLDcLfUKF4zGuwAHnLd4kWUpGNaBVFNjLiQx5NiPIVBGFUo1VpfhCaGgAAF81JREFU+YplKoSJ+HwFQRjVeD7fVE99bkx8vsJgI5avIAijhkp5vnrUJmJ0E1WVfb5iCQsDQZSvIAijhj7l+Qb4fP0+ak8pC0J/EOUrCMKoRitX4Up8vsIgIj5fQRBGNYGNFYoaLIjPVwgbUb6CIAgUNVZQYuUKg4um1Oj9lcXjcVpbW7nrrruIxWIDlmeaJpYVXsP6MOXVNTWSDtHJYGQ00pGQZNmEKssKSRaAaYMV0i2q6YQsK0RDzFSQDkmWAaSrsBI1VFXWpIGqKM9wFGmtcI6mFKpozFDuPP82byySdgOu0pqWG/O/t6EVHkc1xzUY86rBlRUO7vcZHgaQDum3a6jwZKWSSb5/3/10dHTQ0tISjtBeEJ8v8OCDD4YiZ82aNTzwwAOhyApb3t985x42nRuKKAAWvwWPnBPOr37pTsVDZ4SjMZe/a7N+lhmKLIBVuy3WzagLRdbq/UnWTmkIRdbtH3ezrq0pFFkAtx/tZENj5UIQ1bCyq5ONkXBkASyrohhHUCGOcmOPOc0FxTYGEnAVdpGNh2PhnLflqTgPNYQja0V3gg1N4X2fK7sSrG8OR96qRIL1LeHIckwjFDnVIspXEIRRgxdc5S8z6S41x9GN/A2gBFwJg434fAVBGDV4wVXp7P+POc1kAD1TuPIiRTaEwUYsX0EQRjxaNlDKj1FmrNjy9cpK6lGbTHZeVHOXlbWiIhv+3F6xhIWBIMpXEIQRj8qmBvmp1ud7azKNYVhkgEdogWx1q2I/sxTZEMJElK8gCKOGYp+vphS6EUGP2uiQs5TFqhUGG/H5CoIwavB8vt7yst/X6/l5H1Xi3xUGH7F8BUGoabQiX2sQBr37fL28XsPXPtDLXfV8vV6Ec05e0XsWjxkoljqVl54NVFW9esXaHl2I8hUEoaZR2Yjj3ij2x0Khz7fY13trMo1SOhEzmbV4W7hNL5xfjc+36jzfKvKel9niQx5NiPIVBOGkxB8B7Y9y9nJ6Lasu5+vNbxOfrzA0iM9XEISTEi8C2muU4OX3Kk3Dsup44IE1pDWtpJmC+HyFoUAsX0EQRg2aUuiZCBEzyZo1D2AolQu+EoShRJSvIAgjnkpFNvyBVl5BjYjRTUblA60KlqmrCLiSpWlhIIjyFQRhxFOpyIYXcLVEi6PjphX5Gyvk9lW+faXIhjCIiPIVBOGkJCjgSs/2roxCrryk9O4VhgMJuBIE4aRE+Zon5AKu0mYur9fbVtzzVxCGAk2p0XvbF4/HaW1t5a677iIWiw1YnmmaWJYVwpGFL6+uqSm0hvXgNq0PS55hgxWSLNMOr2E9hNu03lThygqriThkm5KH2si9siwNVVVUcbG8oP0MR5EuUqKGyo8ZSpHqqccwLPSoDVCwrWRfrfQzFL/vYH/OgRC+rPAwIDR5BuH9HaSSSb5/3/10dHTQ0tISjtBekGVn4MEHHwxFzpo1a3jggQdCkRW2vL/5/+5l41nhaaVl7zisnx1O8+mVu9PhNazfl2Tt1PpQZAHc/lEP6yY2hiJr9eEu1o9rCkfW8U7Wt4bX4HzViU4eqg+p+XpPgo1GFUUl0tUXqXhEy89bqnovqOEf8/y6S7R4geIt6/P1y6uisEc1x18tS50EG6PhyFuWSfBwLBxZy1NxHmoI73Ou6E6woTkceSs7E6wPSZZjhHM9qxZRvoIgnJRovraBerqwhrP4fIXhRny+giCclBT4fH2+3kdVS2FBDfH5CsOAWL6CINQ0GoqlqrChQUkObpkmCl4NZ8N0Yyc8i9cozuktyhGWHF5hsBHlKwhCTaPQ+uTz9ef0GoaVq+EMeV9vNU0UBGEwEeUrCMKIJyin16tm5eH39UoTBWG4EZ+vIAgjnnJNFPwNFDxfr7dNmigIw4koX0EQTkqc7jrMbAMFiWgWag1ZdhYEIVQ0FMvSlX2mBoqlTpXz/AFXqveAK2/ZOWLouQYKUZVfbr5N73sThXKfUxD6iyhfQRBCRaFVVSxiWWZwimx4AVe3ptPEoj1AcKBVX5ooBCFBWcJAEOUrCMKIJyjgKmLkvWpeoJUsPwu1gvh8BUEY8QQGXKXN3HbP8pWCGkKtIJavIAg1TV+LbLjP4+hGvqRkUIpRb/LEnysMNqJ8BUGoafpaZGMpcfRMYZusQJ+vf18psiEMMaJ8BUEY8fh9vl5xDa+WM4jPV6g9xOcrCMKIx99EwVO4GeBRp4XH7LwfWHy+Qq2gKTV6bwXj8Titra3cddddxGKxAcszTRPLskI4svDlhX1sdU1NoTWtD7thfehN5kOS5zasD0kWhNYs3ZU39I3c+zvPUKX7GUqRzipWQymcTAQ9aheMpbPNFtJa+X37cmyGFt45q/Y9R7qsvLxwiFhWaNe1VCrFgw8+SEdHBy0tLaHI7A1Rvq2toclbs2YNDzzwQE3KC/vYvva397J2SkMosm7/uJt148NpWH/70S7WjwmnYT24TebData9Kp5gQ1NYTcQ7eag+xAbnPeE2cu9P/m7ZeUU+3iVBPl/c3F7ADbbKRHCiNo867kX0tkiid59vFX7gYqqZ0xeWUN15q4alToKNkZC+TzvBw7HwPufyVJyHGkL6nIcPhnpdA4ZM+YrPVxCEEY+Wze2FvM83iqt0gYLKVoJQC4jPVxCEEY/f5+s1VEhrGo/ZzeLzFWoSUb6CIJxUaEphmkmxcoWaRpadBUGoabSiRgqBhTKqXHYut2/xmBTZEAYbUb6CINQ0Cq0w4KpMgFRBwBXZwhq2O+YPuPLmeZQLwhKEwUSUryAIIx4JuBJGGuLzFQRhxFOuyIYEXAm1ili+giCEioZiqVN52dYoapjQ27wwfb7evEryKi09i19YGAiifAVBCJXiRgjlCGqQEERxY/t++3zt5pzv10+1fuCS4xK/sDAARPkKgjDiqcrnGxGfr1A7iM9XEIQRj/IV1Cjr87XF5yvUDmL5CoJQ02hF/teyPt9IZcu3nM+3eEwsZGGwEeUrCEJNozStwP/q9+963KYncv7dJXoFn69dtG8ZP7DEUwmDiShfQRBGPFqVlq9YtEKtID5fQRBGPKqoiUJgYwXx+Qo1hChfQRBOKqSxgjAS0JQavb/QeDxOa2srd911F7FYbMDyTNPEsqwQjix8eWEfW11TE1ZIRoSpIE04wgxUaLLClheqLBXy51SKdEhWYbWy+jsvaD//mKEUTiaCHrULxtKaVnHfvhxbmOcsbHmhytLC/a1FrFRNXtdSqRQPPvggHR0dtLS0hCKzN0T5traGJm/NmjU88MADNSkv7GP72rfvZf3YplBkrT7excOxysUWqmF5KsHGaDiyAJZlEjyihyNvqROiLLu6AhXVsoTSoKP+Uk2BCggOnConzz/PH1yVG4sUBVxlIjhRm8ds9yK6OFoh4CpgbFOm92NbHE2wyQrvO1hsVn7PqmVFQ/w+I+H9bgEWxz+u2esaMGTKVwKuBEEY8ZQLuFoclYAroTYRn68gCCOeckU2NmWa2ZRxA642ZSTgSqgdxPIVBKGm0YqKYPgLagSNlbN8F0cTFff1v6cgDCaifAVBqGk8q9ajko/2tki+yIY3tjjqbvf+91NuTBAGE1G+giCMeLSsZQu9W75i0Qq1gvh8BUEY8aisT3dTpplUTz0gPl+hthHLVxCEUCluhFCOoIYGZedFgn2+mlKobP6uZ+VGlI4etdEJ9vkWLylXOxb0OQWhv4jyFQQhVDwrtBJBvtZq5vlfB/lyF6XTxKI95X2+6SL/rlFmrEIO72JT/MJC/xHlKwjCiMLv3y2MYo6jNI2Icr1p4vMVahnx+QqCMKLw+3c9X25a03LjXlOFtKaxKd3MpnRz7rn4fIVaQSxfQRBGPJpS6JkIt1g2pplEVypXbEMQahFRvoIg1DRaUfCTEbDs7KUXAehRmwzZZWcjH5i12MgGXBkBwVWGFNkQhhZRvoIg1DTFAVxBAVdeYQ1wU4wey7RUHUi12AweE4TBRJSvIAgjiqCAK7/l61m8Yr0KtYwEXAmCMKJQxYFUmeYC/24GJLhKqHmkn29rK3fddRexWGzA8sJuWB+mvFo+trqGJjIhNeuOokKTFba8WpUVtrwo1TVfN6iu4XtxY3j/ayMbWKVnIgBYVh11DV2ks4U3iuUbqvTYNBSqaMyo4nzU+ncQliw9k6rZa0eYslKpFA8++OCQ9fMV5dvaGpq8sBs7hymvlo/t6//j2/wiEU6z7kXNidBkhS2vVmWFLe+W5gSPJyvLurW+ynl1hT7ZxWbel3tbNJ5TvHrUJq1paErlfb7FvlyjuvdcXJfg8e7e593aULvfQZiybop8XLPXjrCva8CQKV/x+QqCMKLQfNHJnq/Xi3AG8fkKIwPx+QqCMKLw+3z9TRQey7RIQQ1hxCCWryAINY2mVEHqjz8v14gqnEyEKO4SdK7JgpfTa0r+rlCbiPIVBKGmUZpW4Kf1+4BvM9z8XicTIRq1SZONdraaWWyW+ndvjUn+rlAbiPIVBGFE4beEowoyUTsXdAVZn68pPl+hthGfryAIIwqlaTyeaubxlOvffSzdkmumkPP5WuLzFWobUb6CIIx4NM0hkta5xbLF4hVGBLLsLAhCqGgoFtdV9q1GlWJxFT7Y4nlRpXK+Wy+oyjDcwCvILzsbAfKj1R4bilsbKs0TJS/0H1G+giCEjFZVgYdqC0Esai4seLGoMR9IdWtdgsdTzSw2CxsruGMJHu8pCriqr/49K81b1CzBW0L/EeUrCMKIQvNZtJ4VXNxY4dZYAmT5WahhxOcrCMIIQ+PxnmYe73GDqx5PljZWcC1jCbgSapcRr3z/8R//kVmzZlFXV8eCBQt47rnnhvuQBEEIFdf/6j2iKG6tT3Brfd6v61/Ci0J2LD/Pe4ifVqgVRrTyXbduHXfffTff+ta3eO2117jiiiu4+eab2b9//3AfmiAIoeH6kL1HBo1fdDXziy73+ePdAZZvT3aebz/XhyvWsFAbjGjl+73vfY8/+ZM/4b/9t//G2Wefzfe//32mT5/OP/3TPw33oQmCMGgoFjUmWNSYyEUlF1u+YuUKtc6IDbiyLIutW7fy9a9/vWD8hhtu4IUXXgjcJ5VKkUqlcq87OjpCPSa/7FqTV9vHlsROGeHIMsOTFba8WpUVtrxqZfV3XspMsTkbiXxTc4LNiWZuanZbC1oW2JEkmxMt3NScwE4lB+3YTobvoCpZkVq+doR7bABD1mVXjVA++ugjBajf//73BeP/83/+T3XGGWcE7nPPPfco3NthechDHvKQhzxKHh988MFQqDA1Yi1fD62ohJxSqmTM4xvf+AZf+cpXcq9PnDjBzJkz2b9/P62trYN6nCcT8Xic6dOn8+GHHw5J0+mTATln/UPOW9+Rc9Y/Ojo6mDFjBuPGjRuS9xuxynf8+PFEIhEOHTpUMH748GEmTZoUuE8sFiMWi5WMt7a2yo+0H7S0tMh56yNyzvqHnLe+I+esf+j60IRCjdiAK9M0WbBgAU8++WTB+JNPPslll102TEclCIIgCJUZsZYvwFe+8hXuvPNOLrzwQhYuXMi//Mu/sH//fv7iL/5iuA9NEARBEMoyopXv6tWrOXbsGH/7t3/LwYMHmTt3Lr/61a+YOXNmVfvHYjHuueeewKVooTxy3vqOnLP+Ieet78g56x9Dfd40paQAqiAIgiAMJSPW5ysIgiAIIxVRvoIgCIIwxIjyFQRBEIQhRpSvIAiCIAwxo1r5jtZ2hM8++yy33norU6dORdM0Hn300YLtSinuvfdepk6dSn19PVdffTU7duwomJNKpbjrrrsYP348jY2NLF68mAMHDhTMaW9v584776S1tZXW1lbuvPNOTpw4McifbnC47777uOiii2hubmbixIksWbKEXbt2FcyR81bKP/3TP3HeeeflCj4sXLiQX//617ntcs4qc99996FpGnfffXduTM5bKffeey+aphU8Jk+enNtec+dsSIpY1iBr165VhmGoH/3oR2rnzp3qy1/+smpsbFT79u0b7kMbdH71q1+pb33rW+rhhx9WgHrkkUcKtt9///2qublZPfzww2r79u1q9erVasqUKSoej+fm/MVf/IU65ZRT1JNPPqm2bdumrrnmGjV//nyVyWRyc2666SY1d+5c9cILL6gXXnhBzZ07Vy1atGioPmao3HjjjerHP/6xeuutt9Trr7+ubrnlFjVjxgzV2dmZmyPnrZRNmzapX/7yl2rXrl1q165d6pvf/KYyDEO99dZbSik5Z5V45ZVX1KmnnqrOO+889eUvfzk3LuetlHvuuUede+656uDBg7nH4cOHc9tr7ZyNWuV78cUXq7/4i78oGDvrrLPU17/+9WE6ouGhWPk6jqMmT56s7r///txYMplUra2t6v/8n/+jlFLqxIkTyjAMtXbt2tycjz76SOm6rjZv3qyUUmrnzp0KUC+99FJuzosvvqgA9c477wzypxp8Dh8+rAC1ZcsWpZSct74wduxY9X//7/+Vc1aBRCKh5syZo5588kl11VVX5ZSvnLdg7rnnHjV//vzAbbV4zkblsrPXjvCGG24oGO+tHeFoYc+ePRw6dKjg3MRiMa666qrcudm6dSvpdLpgztSpU5k7d25uzosvvkhrayuXXHJJbs6ll15Ka2vrSXGOvXaUXhF2OW+VsW2btWvX0tXVxcKFC+WcVeCLX/wit9xyC9dff33BuJy38rz33ntMnTqVWbNmcfvtt7N7926gNs/ZiK5w1V+OHj2KbdslDRgmTZpU0qhhtOF9/qBzs2/fvtwc0zQZO3ZsyRxv/0OHDjFx4sQS+RMnThzx51gpxVe+8hUuv/xy5s6dC8h5643t27ezcOFCkskkTU1NPPLII5xzzjm5i5Wcs1LWrl3Ltm3bePXVV0u2yW8tmEsuuYR/+7d/44wzzuCTTz7hO9/5Dpdddhk7duyoyXM2KpWvR1/aEY42+nNuiucEzT8ZzvGXvvQl3nzzTZ5//vmSbXLeSjnzzDN5/fXXOXHiBA8//DBf+MIX2LJlS267nLNCPvzwQ7785S/zxBNPUFdXV3aenLdCbr755tzzefPmsXDhQk477TR++tOfcumllwK1dc5G5bJzf9oRjha86MDezs3kyZOxLIv29vZe53zyyScl8o8cOTKiz/Fdd93Fpk2beOaZZ5g2bVpuXM5beUzT5PTTT+fCCy/kvvvuY/78+fzgBz+Qc1aGrVu3cvjwYRYsWEA0GiUajbJlyxb+9//+30Sj0dxnkvPWO42NjcybN4/33nuvJn9ro1L5SjvC8syaNYvJkycXnBvLstiyZUvu3CxYsADDMArmHDx4kLfeeis3Z+HChXR0dPDKK6/k5rz88st0dHSMyHOslOJLX/oSGzdu5Omnn2bWrFkF2+W8VY9SilQqJeesDNdddx3bt2/n9ddfzz0uvPBCPv/5z/P6668ze/ZsOW9VkEqlePvtt5kyZUpt/tb6FJ51EuGlGv3rv/6r2rlzp7r77rtVY2Oj2rt373Af2qCTSCTUa6+9pl577TUFqO9973vqtddey6VZ3X///aq1tVVt3LhRbd++XX3uc58LDMmfNm2aeuqpp9S2bdvUtddeGxiSf95556kXX3xRvfjii2revHkjNo3hv//3/65aW1vV7373u4JUhu7u7twcOW+lfOMb31DPPvus2rNnj3rzzTfVN7/5TaXrunriiSeUUnLOqsUf7ayUnLcgvvrVr6rf/e53avfu3eqll15SixYtUs3Nzblreq2ds1GrfJVS6h/+4R/UzJkzlWma6oILLsiljZzsPPPMMwooeXzhC19QSrlh+ffcc4+aPHmyisVi6sorr1Tbt28vkNHT06O+9KUvqXHjxqn6+nq1aNEitX///oI5x44dU5///OdVc3Ozam5uVp///OdVe3v7EH3KcAk6X4D68Y9/nJsj562U//pf/2vub2zChAnquuuuyylepeScVUux8pXzVoqXt2sYhpo6dapatmyZ2rFjR257rZ0zaSkoCIIgCEPMqPT5CoIgCMJwIspXEARBEIYYUb6CIAiCMMSI8hUEQRCEIUaUryAIgiAMMaJ8BUEQBGGIEeUrCIIgCEOMKF9BEARBGGJE+QqCIAjCECPKVxAEQRCGGFG+giAIgjDEiPIVBEEQhCHm/w9rwm9WU7CZUgAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(figsize=(5, 9))\n", "mm = flopy.plot.PlotMapView(model=gwf, layer=0, ax=ax)\n", @@ -537,13 +343,46 @@ "mm.plot_bc('SFR', color='b', plotAll=True)\n", "mm.plot_bc('WEL', plotAll=True)\n", "mm.plot_ibound()\n", - "mm.plot_pathline(p0, layer='all', color='blue', edgecolor=\"None\", lw=0.75)\n", - "mm.plot_grid(lw=0.5, color=\"0.5\")\n", + "mm.plot_pathline(p0, layer='all', color='blue', lw=1)\n", + "mm.plot_grid(lw=0.2, color=\"0.5\")\n", "\n", "ax = plt.gca()\n", "ax.fill(csx, csy, color='#e534eb', zorder=100, alpha=.75);" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(5, 9))\n", + "\n", + "mm = flopy.plot.PlotMapView(model=gwf, ax=ax, layer=0)\n", + "mm.plot_array(hds, masked_values=[1e30])\n", + "mm.plot_bc('SFR', color='b', plotAll=True)\n", + "mm.plot_bc('WEL', plotAll=True)\n", + "mm.plot_ibound()\n", + "mm.plot_grid(lw=0.2, color=\"0.5\")\n", + "\n", + "p = flopy.utils.PathlineFile(ppth)\n", + "p0 = p.get_alldata()\n", + "df = pd.DataFrame.from_records(p0[0])\n", + "for ix, recarray in enumerate(p0):\n", + " dft = pd.DataFrame.from_records(recarray)\n", + " df = pd.concat((df, dft), ignore_index=True)\n", + "vmin, vmax = df.time.min(), df.time.max()\n", + "\n", + "times = list(range(0, 74001, 1000))\n", + "for ix in range(1, len(times)):\n", + " tmp = df[(df.time >= times[ix - 1]) & (df.time < times[ix])]\n", + " s = ax.scatter(tmp.x.values, tmp.y.values, c=tmp.time.values, vmin=vmin, vmax=vmax, cmap=\"magma\")\n", + " ax.set_title(f\"{times[ix - 1]} - {times[ix]} days\")\n", + " display(fig)\n", + " clear_output(wait=True)\n", + " plt.pause(0.1) " + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -553,19 +392,9 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'names': ['x', 'y', 'z', 'time', 'k', 'particleid'], 'formats': ['\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
xyztimekparticleidgeometry
0292.2652287053.43408224.2591511066.62316911LINESTRING (291.667 7041.667, 292.265 7053.434)
1296.8715827187.31494118.8675779176.82812521LINESTRING (292.265 7053.434, 296.872 7187.315)
2298.2957157250.00000017.83786011656.65625031LINESTRING (296.872 7187.315, 298.296 7250.000)
3327.3801277500.00000017.04131517482.57421931LINESTRING (298.296 7250.000, 327.380 7500.000)
4351.9531257750.00000014.88688321403.54882831LINESTRING (327.380 7500.000, 351.953 7750.000)
\n", - "" - ], - "text/plain": [ - " x y z time k particleid \\\n", - "0 292.265228 7053.434082 24.259151 1066.623169 1 1 \n", - "1 296.871582 7187.314941 18.867577 9176.828125 2 1 \n", - "2 298.295715 7250.000000 17.837860 11656.656250 3 1 \n", - "3 327.380127 7500.000000 17.041315 17482.574219 3 1 \n", - "4 351.953125 7750.000000 14.886883 21403.548828 3 1 \n", - "\n", - " geometry \n", - "0 LINESTRING (291.667 7041.667, 292.265 7053.434) \n", - "1 LINESTRING (292.265 7053.434, 296.872 7187.315) \n", - "2 LINESTRING (296.872 7187.315, 298.296 7250.000) \n", - "3 LINESTRING (298.296 7250.000, 327.380 7500.000) \n", - "4 LINESTRING (327.380 7500.000, 351.953 7750.000) " - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "rshp.head()" + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "rshp" ] }, { @@ -769,28 +441,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/aleaf/mambaforge/envs/pyclass/lib/python3.11/site-packages/geopandas/geodataframe.py:1645: DeprecationWarning: Passing a SingleBlockManager to Series is deprecated and will raise in a future version. Use public APIs instead.\n", - " srs = pd.Series(*args, **kwargs)\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(figsize=(6, 10))\n", "pmv = flopy.plot.PlotMapView(gwf, ax=ax)\n", @@ -799,6 +452,235 @@ "pmv.plot_ibound();" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Export the data to VTK (Visualization ToolKit) format for a 3d representation\n", + "\n", + "FloPy's `Vtk` module allows us to create Visualization ToolKit (VTK) files that can be opened and explored with pyVISTAs or external software such as ParaView." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from flopy.export.vtk import Vtk\n", + "\n", + "vtk = Vtk(model=gwf, binary=False, vertical_exageration=50, smooth=False)\n", + "vtk.add_model(gwf)\n", + "vtk.add_pathline_points(p0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Write VTK file for use in ParaView or other VTK software" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pth = pl.Path(\"temp\")\n", + "pth.mkdir(exist_ok=True)\n", + "\n", + "vtk.write(pth)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Alternatively we can visualize the VTK representation using `pyvista`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pyvista as pv" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Convert the VTK to pyvista meshes and rotate the meshes to match the orientation of our matplotlib plots" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "grid, pathlines = vtk.to_pyvista()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "axes = pv.Axes(show_actor=True, actor_scale=2.0, line_width=5)\n", + "\n", + "grid.rotate_z(160, point=axes.origin, inplace=True)\n", + "pathlines.rotate_z(160, point=axes.origin, inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Select particle release locations and build a dictionary of particle tracks (pathlines). This will be used below for particle labelling, as well as for animation.\n", + "\n", + "*Note*: while below we construct pathlines manually from data read from the exported VTK files, pathlines may also be read directly from the MODPATH 7 pathline output file (provided the simulation was run in pathline or combined mode, as this one was)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tracks = {}\n", + "particle_ids = set()\n", + "release_locs = list()\n", + "\n", + "for i, t in enumerate(pathlines[\"time\"]):\n", + " pid = str(round(float(pathlines[\"particleid\"][i])))\n", + " loc = pathlines.points[i]\n", + "\n", + " if pid not in tracks:\n", + " tracks[pid] = []\n", + " particle_ids.add(pid)\n", + " release_locs.append(loc)\n", + "\n", + " # store the particle location in the corresponding track\n", + " tracks[pid].append((loc, t))\n", + "\n", + "release_locs = np.array(release_locs)\n", + "tracks = {k: np.array(v, dtype=object) for k, v in tracks.items()}\n", + "max_track_len = max([len(v) for v in tracks.values()])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "View the grid and pathlines with PyVista, with particle tracks/locations colored by time. Also add particle ID labels to a few particles’ release locations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pv.set_plot_theme(\"document\")\n", + "pv.set_jupyter_backend(\"static\")\n", + "\n", + "# create the plot and add the grid and pathline meshes\n", + "p = pv.Plotter()\n", + "p.add_mesh(grid, opacity=0.05)\n", + "p.add_mesh(pathlines, scalars=\"time\")\n", + "\n", + "# add a particle ID label to each 20th particle's starting point\n", + "label_coords = []\n", + "start_labels = []\n", + "for pid, track in tracks.items():\n", + " if int(pid) % 20 == 0:\n", + " label_coords.append(track[0][0])\n", + " start_labels.append(f\"Particle {pid}\")\n", + "\n", + "p.add_point_labels(\n", + " label_coords,\n", + " start_labels,\n", + " font_size=10,\n", + " point_size=15,\n", + " point_color=\"black\",\n", + ")\n", + "\n", + "# zoom in and show the plot\n", + "p.camera.zoom(2.4)\n", + "p.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create an animated GIF of the particles traveling along their pathlines, with particles colored by time." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# create plotter\n", + "p = pv.Plotter(notebook=False, off_screen=True)\n", + "\n", + "# open GIF file\n", + "gif_path = pth / f\"freyberg_tracks.gif\"\n", + "p.open_gif(str(gif_path))\n", + "\n", + "# create mesh from release locations\n", + "spls = pv.PolyData(release_locs)\n", + "spls.point_data[\"time\"] = np.zeros(len(spls.points))\n", + "\n", + "# add the underlying grid mesh and particle data, then zoom in\n", + "p.add_mesh(grid, opacity=0.05)\n", + "p.add_mesh(spls, clim=[0, 1.23e09])\n", + "p.camera.zoom(2.4)\n", + "\n", + "# cycle through time steps and update particle location\n", + "for i in range(1, max_track_len):\n", + " pts = []\n", + " times = []\n", + " segments = []\n", + "\n", + " for pid in particle_ids:\n", + " track = tracks[pid]\n", + " npts = len(track)\n", + " # use last locn if particle has already terminated\n", + " loc, t = track[i] if i < npts else track[npts - 1]\n", + " pts.append(loc)\n", + " times.append(t)\n", + " if i < npts:\n", + " segments.append(track[i - 1][0])\n", + " segments.append(loc)\n", + "\n", + " p.update_coordinates(np.vstack(pts), render=False)\n", + " p.update_scalars(np.array(times), mesh=spls, render=False)\n", + " p.add_lines(np.array(segments), width=1, color=\"black\")\n", + " p.write_frame() # write frame to file\n", + "\n", + "# close the plotter and the GIF file\n", + "p.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from IPython.core.display import Image\n", + "\n", + "display(Image(data=open(gif_path, \"rb\").read(), format=\"gif\"))" + ] + }, { "cell_type": "code", "execution_count": null, @@ -809,7 +691,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pyclass", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -823,7 +705,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.7" + "version": "3.9.12" } }, "nbformat": 4,