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    "path": "/2025.1.3/examples/tutorials/advanced_interface/lambs_problem/tutorial",
    "result": {"data":{"site":{"siteMetadata":{"salvusDocVersions":{"current":"2026.5.0"}}},"jupyterNotebook":{"slug":"/2025.1.3/examples/tutorials/advanced_interface/lambs_problem/tutorial","notebook_widgets_root_path":"/jupyter_notebook_widgets","notebook_json":"{\"cells\":[{\"cell_type\":\"markdown\",\"id\":\"3de2c680\",\"metadata\":{},\"source\":[\"# Lamb's Problem\"]},{\"cell_type\":\"code\",\"execution_count\":1,\"id\":\"3224530e\",\"metadata\":{},\"outputs\":[],\"source\":[\"%matplotlib inline\\n\",\"\\n\",\"# This line helps with tab-completion of the simple_config objects.\\n\",\"# The IPython/Jupyter project default to a differnet inference based\\n\",\"# tab completion engine which unfortunately does not yet fully work\\n\",\"# with SalvusFlow. This is completely optional and a convenience\\n\",\"# option.\\n\",\"%config Completer.use_jedi = False\"]},{\"cell_type\":\"markdown\",\"id\":\"47544273\",\"metadata\":{},\"source\":[\"## Introduction\\n\",\"\\n\",\"This tutorial recreates Lamb's problem without using SalvusProject. SalvusProject was designed to take a more application-driven view and to automatically handles many tasks concerning meshing, bookkeeping, and reproducibility. Under the hood, it calls them same API that we demonstrate in this tutorial. For certain use cases that SalvusProject can not handle yet, this tutorial might be a good starting point to learn about the low-level interface.\\n\",\"\\n\",\"An accurate solution to the wave equation is a requirement for a wide variety of seismological research. In this tutorial, we will validate the accuracy of Salvus_Compute_ by comparing numerically calculated seismograms to semi-analytical solutions of Lamb's Problem in 2-D. In addition to giving us confidence in the synthetic data we will use in future tutorials, it also gives us a chance to gently learn some of the key features of the Salvus API.\\n\",\"\\n\",\"Lamb's problem is concerned with the behavior of the elastic wave equation in the presence of a half-space bounded by a free-surface condition. In our solution we expect both direct arrivals and those reflected from the free-surface, along with a contribution from the 2-D Rayleigh wave. To validate the solutions generated with Salvus, we will compare our results with semi-analytical ones computed using [EX2DDIR](http://www.spice-rtn.org/library/software/EX2DDIR/softwarerelease.2006-11-10.9258147216.html). We'll consider a half-space bounded at $y=2000$, and excite waves using a Ricker source with a center frequency of 15 Hz. This setup keeps compute times very low, while also allowing for a fair amount of wavelengths to propagate within our domain. To get started, let's first import all the Python tools we'll need.\"]},{\"cell_type\":\"code\",\"execution_count\":2,\"id\":\"c3cf81a5\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[]}],\"source\":[\"# Standard Python packages\\n\",\"import os\\n\",\"import toml\\n\",\"import numpy as np\\n\",\"import matplotlib.pyplot as plt\\n\",\"\\n\",\"# Workflow management.\\n\",\"from salvus.flow import api\\n\",\"\\n\",\"# Specific objects to aid in setting up simulations.\\n\",\"from pyasdf import ASDFDataSet\\n\",\"from salvus.mesh.simple_mesh import basic_mesh\\n\",\"import salvus.flow.simple_config as sc\\n\",\"\\n\",\"SALVUS_FLOW_SITE_NAME = os.environ.get(\\\"SITE_NAME\\\", \\\"local\\\")\"]},{\"cell_type\":\"markdown\",\"id\":\"a80fdc57\",\"metadata\":{},\"source\":[\"## Meshing the domain\\n\",\"\\n\",\"While future tutorials will see us generating meshes which are a bit more exciting, in this example we will be working with a simple rectangular grid. As a first step we'll import the `basic_mesh` package from Salvus _Mesh_. This allows us to quickly generate simple layered and homogeneous meshes in 2- and 3-D. For a detailed overview of the features available in the mesher, please check out the relevant tutorials online. We'll now set some basic parameters which will describe our simulation. As described above, we've preselected some elastic parameters which will suit our purposes well.\"]},{\"cell_type\":\"code\",\"execution_count\":3,\"id\":\"0fff208b\",\"metadata\":{},\"outputs\":[],\"source\":[\"# Domain setup (m).\\n\",\"max_x = 2000.0  # Distance in meters.\\n\",\"max_y = 1000.0  # Distance in meters.\\n\",\"max_frequency = 25.0  # Frequency in Hz.\\n\",\"\\n\",\"# Material properties.\\n\",\"vp = 3200.0  # P-wave velocity in m/s.\\n\",\"vs = 1847.5  # S-wave velocity in m/s.\\n\",\"rho = 2200.0  # Density in kg / m^3.\"]},{\"cell_type\":\"markdown\",\"id\":\"13db4553\",\"metadata\":{},\"source\":[\"With these basic parameters set, we have the minimum required data to generate an elastic mesh. Below we use the `CartesianIsotropicElastic2D` to auotmatically generate and return our mesh object. Basic in-notebook visualization is available for all  `UnstructuredMesh` objects returned from Salvus _Mesh_ -- an example is given in the cell below. Of course nothing really beats the fully-featured 3-D visualization options offered in a package like Paraview. To visualize Salvus meshes in this and related programs, you can write the mesh out to a file on disk. The function `write_h5_tensorized_model` will write the mesh data to an HDF5 file of your choice, along with a XDMF file which provides a high-level description of the HDF5 data. It is this XDMF file which should be opened in Paraview.\"]},{\"cell_type\":\"code\",\"execution_count\":4,\"id\":\"742479cc\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAAPNCAYAAABlE1KQAAAAAXNSR0IArs4c6QAAAARzQklUCAgI\\nCHwIZIgAACAASURBVHic7N17XI73/wfw192ZUkkppXTQQSpKFiJi1DTbnDbEdw4zNsbK4bth5jDM\\n5jcbYzNy3HdDWIyMnM3MMWcRk3MllJSo+37//ujX9evW8XYK39fz8ejxuK/T53p/Ptfninefz3Xd\\nqps3b8q1a9dQUFAAIiIiIiIiIiqdgYEBHBwcoBIRqepgiIiIiIiIiF4UelUdABEREREREdGLhIk0\\nERERERERkQ6YSBMRERERERHpgIk0ERERERERkQ6YSBMRERERERHpgIk0ERERERERkQ6YSBMRERER\\nERHpgIk0ERERERERkQ6YSBMRERERERHpgIk0ERERERERkQ6YSBMRERERERHpgIk0ERERERERkQ6Y\\nSBMRERERERHpgIk0ERERERERkQ6YSBMRERERERHpgIk0ERERERERkQ4qTKT37NkDAwMDGBgYQF9f\\nHyqVSlk2MDDA1atXERUVhWHDhpV6fFxcHBo2bKhTUI9yzOPw9fVFbGzsMzvf09C4ceNnUoegoCDM\\nmjWrxPr3338f77///hM7j4igRo0aMDY2homJCUxNTdGwYUMsWrToiZ2jSEJCAszNzSEiJbZ99913\\ncHd3R1paGlQqFdLT05/4+QFgwYIFyM/Pfypll2bLli1ITk5+7HKK3zuPch89q377sHPnziEhIeGJ\\nxvFwmboYM2YMbGxs8NFHHz1WDM+6H+ni3r17iIiIgI2NDX755ZcS24vHvnbtWvj5+T3rEB+Jv78/\\n1qxZU9VhEBER0bMmOliyZIm4u7uXWN+yZUv55ZdfSj0mNzdXbt26pctpHumYR5WTkyP6+vryzz//\\nPJPzlUWtVj/W8enp6fLgwYMnFE3pCgoKpFq1arJr164S25o0aSJz5859Yuc6c+aMAJDbt2+LSGH7\\nbNu2TUxNTWXz5s06lVVR22ZmZopKpZKkpCSt9Tdu3BBLS0uJj4+XgoICSU1N1a0SlfTPP/+Ik5PT\\nUym7NGq1Wtzc3OTs2bOPVU7xe+dR76Nn0W9L07dvX/npp5+eaBwPl1lZ169fF319fblw4cJjnf9R\\n+9Hj/u6prOXLl4unp2ep7fxw7OPGjZP333//mcT1OPLy8sTQ0FCuXbtW1aEQERHRM6bT1O7ExEQE\\nBARordNoNDhy5AiuX78OPz8/1KpVC8OHD1e2t2zZEgkJCRARjBs3Dg0bNoSvry8aNmyIuLi4Us/z\\nKMccPnwYoaGhaNiwIby8vDBu3Dhl28cff4yBAweiT58+aNasGby8vHDs2DGlTpaWlsjKyoKZmZnW\\nqOSSJUvg7u5e6gjPt99+C3d3d9SrVw+BgYE4evRoqXENGjQIffv2RWRkJNq0aYNGjRrh5MmTAApH\\nXYKDgzFgwAA0a9YMAJCcnIyOHTvC3d0dXl5e+OabbwAAM2bMQEREhFbZkZGRGDx4MH7//Xe0bt0a\\nhoaGAIBvvvkGnp6e8PT0RPv27XH+/HkAgJ+fH9atWwcAyMnJgZWVFcaPH6+UFxISUupIUZGkpCTk\\n5eWhcePGWuvz8/Nx/PhxBAQEVHjNyortYYcPH4a9vT0sLS0BAHp6eggNDUW7du2wZcsWAEBKSgo6\\ndOiAevXqoW7duvj3v/+tHB8VFYXBgwcjNDRUGeUr65pZWFjAw8MDhw4d0oph7NixaN26NV577TWM\\nHj0aEydOBADcvXsXgwcPhpubGzw9PTFgwADcu3cPa9as0bo/pk6dCpVKBbVaDQDYtm0bvLy8oNFo\\nlH0SExMRGBiIrKwsNG7cGBqNpty+/LCEhAQEBATA2dkZbm5uWL58ubLt4MGDaNmyJezs7ODm5oZV\\nq1ZBo9HA09MTly5dQqdOnXDkyBH0798fo0eP1irTxcVFWS6r3YruHRcXF63PVlZW2L9/v3L8+fPn\\nUb169RIj4MX7bVxcHIKCgjBmzBiEhobCyckJ//nPfwAA5ubmOHDggHJcUlISzMzMkJKSUub9AgDL\\nly+Hv78//Pz8UL9+feX69e/fH4sXL8b06dPx008/acVx6dIltG/fHg4ODggICEBsbCyMjIxw//79\\nctvi4TKByvX1PXv2oHHjxjA2NkZ4eDjOnj1bbp3K6vOl9SNXV1fEx8crx44dOxb9+vUDUPr9UVa8\\nt2/fxjvvvIOGDRuiQYMGaNGiBZKSkkp2xmJtXnT/F43yz5w5EwMHDsTNmzfRqlUrrWNKi/3gwYOo\\nWbMmgoODYWtri9DQUNy9exdA2fdfaRo3bozPPvsMYWFhcHFxwYQJE5CQkICwsDC4urpi5syZyr5/\\n/PEHAgMD4enpiYCAAGV2QXm/044cOQInJyd8//338PDwgK2trdJviYiI6CWnS9bdunVrmT59uta6\\nEydOiL6+vnz11Vei0Wjk2LFjAkDS0tLkwYMHYmxsLGfPnpWEhARxc3OT3NxcERHZv3+/DB48uMQ5\\nHuWYq1evipWVlaxfv15ERLKyssTZ2VlWr14tIiLt2rUTf39/ycjIEJHCkaMPPvhARES+/fZbCQsL\\nU8577tw5JQ4XFxdZtWpVifP9+eefYm1tLRcvXhQRkREjRkh4eHipbdaqVSsJCQmRu3fviohIVFSU\\ndO7cWUREpkyZInZ2dnLkyBEREbl165bUqVNHli1bJiKFI6L29vayfft22bBhg9ZsgCNHjoiFhYWk\\npqbKxIkTpVevXiIiMnXqVAkKClLqOmXKFGndurXSDj///LOIiMyePVtatWolw4YNExGRAwcOiIuL\\nixQUFJRaDxGRZcuWiYeHR4n1hw8fFn19fcnNzS33mpUX28NGjx4tHTp0KLG+RYsWMmPGDBERefXV\\nV2X06NGi0WgkNTVVTE1N5e+//xYRkfbt20vz5s2VmQ0VXbN//etfMmLECGU5MTFRzMzMlFHC0NBQ\\nZbQxLCxMBg8eLPn5+ZKfny8dO3aUzz//XHbv3i3169cXEZH79++Lr6+veHt7KzFERETIwoULS9Qp\\nMjJSJkyYICIV9+XicnJyxMLCQjZs2CAiIr///ruYmpqKWq2WtLQ0sba2lrVr14qIyMaNG8XU1FTu\\n378v8+fPlzZt2ijlNGrUSGtGyVdffaX00fLarejeefhzaGioLFiwQKt+Q4cOLRF/8X47efJksbCw\\nkMOHD4uIyOLFi6VBgwYiItK0aVP5z3/+oxzXpUsXGT16dLn3S25urhgaGiqj7rdv35a3335bMjIy\\nJDk5WYyMjJSR0eJxBAUFyfjx40Wj0citW7fEw8NDGjduXGFbPFymLn197Nix0rdvXxEp/3eASPl9\\nvng/un37tgDQGint2LGjfPfddyJS8v4oL96xY8dKZGSkUs78+fPlhx9+KFGP33//XRwcHOT8+fMi\\nUngPVatWTYkhODhYFi9eXGobFI9dRMTGxkZ69Oghd+/elXv37om9vb2sWLFCRMq+/x6Wn58vxsbG\\nEh0dLSIi+/btEyMjI5k8ebKIiOzcuVOsra1FRGTXrl1iY2Mjx44dExGRPXv2iLm5uWRlZZX7O+37\\n778XS0tL2bJli4iIzJo1S+m3RERE9HKrdCKt0WjEwsJCEhIStNYvXrxY/P39leXLly8LAMnOzpYj\\nR46ImZmZaDQaOXnypFhYWEhMTIzcuXOnzPM8yjFjxoyRLl26aK3r1auXjBkzRkREatWqpSQmIiL9\\n+vWTkSNHiohI7969Zdy4cSIiEhAQIL/99puIiMyZM0datGhR5jmLEmMRkZiYmFKTPhERCwsL2b17\\nt7I8b948CQoKEhGR7t27y/Dhw5VtkydPLlFO9+7d5auvvpILFy6IgYGB5Ofni4jIa6+9JlOmTBER\\nkbfeeku+/vpruXfvnpiZmclff/2lHH/y5EmpXr26iIj07NlT5s6dK2q1Wnx9feWXX36Rd999V9lW\\n2n+Oi4uOjpYePXqUWD9//nzx8fFRzlfaNasotoe1b99eoqKilOW7d+/K7NmzpWbNmnL58mURKfxj\\nR/Fpoo6Ojkr5NjY2yrUsXkaRh6/ZnDlztJLLVq1ayaRJk5TlmjVryoEDB2T37t1ibm4u9+7d0zq2\\nY8eOcubMGaldu7aIFN4X//73v6V58+Zy4cIFSUpKEicnp1KntXp7e8u6detEpOK+/LDidTp//rwY\\nGxuLiMiECRPkrbfeUrZpNBpJS0sTEZEPP/xQSS6KpqYWn9bes2dPrbqX1W7F753in6Ojo5V+ffz4\\ncalZs6bcuHGjROxF/VakMDkuuidFCh8jCQwMFBGRd999V0my9u3bJzY2NpKZmVnu/aJWq8XR0VFG\\njRolV65c0dpn5cqVEhAQUCKOAwcOSPXq1ZWESUSkR48eSpJbXlsUL1PXvl48wS2vTiLl9/ni/Wjr\\n1q1iZ2enVU6dOnWUxzKK3x8VxfvTTz+Ju7u7/PHHH8rvn9K0aNFCZs2apbXO3t5eNm/eLBqNRszM\\nzOTo0aOlHls89pSUFDEwMNDqM25ubrJ+/fpy77+HHTt2TIyNjZVrdvDgQTEzM5O8vDwRKUyei6aT\\nt2vXTqZOnap1vI2Njezfv7/cf4f69u2r9Xtq2bJlSr8lIiKil1ulp3b/888/yMrKKjG1++DBgwgP\\nD1eWT548CWdnZ5iZmSExMRGNGzeGSqWCt7c34uPjsX79ejg5OWH48OEoKCgocZ5HOWbv3r0IDQ3V\\nWpeamgpbW1tcunQJmZmZWttPnjwJHx8fJf7AwEAAQEBAAI4fP4579+5hypQpmDFjRqltsWLFCnTp\\n0gUtW7ZEs2bNMG7cOKW84lJSUpCTk4PmzZsr665cuYI6deoAKJy+HBYWpmzbtWsXDhw4AGdnZ+Vn\\nx44dqF27NurVqwdjY2OkpKRg586dOHHiBKKiopQ28/f3x+HDh5Gbm4uePXsqx4eHh8PJyQkAULt2\\nbWRnZyMuLg7BwcGoV68esrKycPnyZezevRt9+/Yttb5FTpw4AV9f3xLr9+3bh6ZNmwJAmdesotge\\nlpiYiHnz5sHS0hKWlpbw9PTEli1bsGvXLtStWxfXr19HdHQ02rRpgxYtWqBp06a4evUqGjZsiCtX\\nruDmzZt49dVXK33NXnnlFSQmJkJE8Ouvv+LatWvKdOeUlBRkZ2fDx8cHu3btQn5+Pry8vJR6fPHF\\nF7C3t1faFwBmz56NoUOHwszMDFlZWZg5cyaio6OV6fdF7t27hzNnzij3VXl9+WEHDhzAgAEDEBwc\\njObNm6Njx47KS/p2796NNm3aKPuqVCrUrl1badui8x0/fhzGxsZwd3fXavui6fvltVvxe6e0+wgA\\nPvvsM4wePRrW1talXmN/f3/lc/HrVfwe9fb2VqaFf/LJJ/j8889hYWFR7v2ip6eHP//8E3fv3kXj\\nxo3RsWNHpKWllah/8TgOHDiAxo0bo1q1asq29PR0Jcby2qJ4mY/S14vau7w6ldfnH+5Hhw8f1qpj\\neno6UlNT0ahRoxL3R0XxDhw4EJ999hkmT54MR0dHxMTElKiDRqPB/v37tfquWq1GRkYGbG1tkZyc\\njAcPHqBBgwYljn049oMHD6Jp06ZKn8nNzUVKSkqF919p7RoYGAhTU1MAhdOwmzdvDmNjY2W7t7c3\\nRAS7d+/G7Nmztdq9oKAAVlZW5f47VNq/f6X9W0BEREQvocpm3CtXrpR69eqVWN+sWTNZuXKlsjxt\\n2jRlRG3YsGHy0UcflTgmLS1N/Pz8Sp3m+ijHBAUFaa3Pzs4Wc3NzOXjwoKxdu1a8vb2VbUUvzDp6\\n9KhkZ2eLnp6eXL16VUQKRzZ69OghX3/9tXTv3r3Udti5c6eYm5vLoUOHtM5f2svWfvvtN7G1tdVa\\n17JlS5kxY4ZkZWWJSqVSRglFRJo3by7Lly8v9bwihSPm8fHx0rx5c2Xq561btwSAZGRkyKZNm8TL\\ny6vM47/44gsZO3astGrVSk6fPi3Hjh2T0NBQGT16dIkp+6UJDw9XplUXyc7Oltq1ayvTi4srfs0q\\niq24S5cuCQA5depUmfuEhobKwIEDldHDjRs3KtPO161bpzW9sjLX7MGDB2JiYiKnTp0SR0dHrfqs\\nWbNGfH19RUTk008/LfXxgiJGRkayceNGZeS+S5cusnr1anF0dJScnJwS+//999/KKHZRXGX15eLu\\n3r0rNWrUkJiYGNFoNCIi8u9//1t5QVNgYKAsWbJE2T85OVkyMzNFrVaLqamp0rZLliyRpk2bKvtd\\nvnxZVCqVXL58udx2K37vPHwfnTx5Uuzs7GT//v3i5OSkNXpYpHi/LXrZW/F7oX379soo7bp16yQo\\nKEj++OMP8fT0VEZFK7pfity/f1/effdd+de//iUihf246MV4xeP49NNPpVu3bspxGRkZYmJiIjt3\\n7qywDxUvU5e+npaWJiqVSrKysiqsU3l9/uF+1K9fPxk1apSy/PPPP4ubm5uIlLw/dIn38OHDUr16\\ndWX6dpHc3FxRqVRaL5srmjqdl5cnK1as0JoFUNzDsX/yySfy4YcfKst79+6VWrVqiUjF919xUVFR\\nMmTIEGV5yJAhMnr0aGW5X79+MmbMGMnLyxOVSlWplwkW/51W9IK99PR0ZXtYWFiJUXkiIiJ6OVV6\\nRLq0F40VFBTg6NGjyogNoD0SUjTSc+fOHbz++uvKiJC5uTmMjIxgYmJS6nl0PaZVq1aIi4uDWq1W\\nXgwTHByMJk2aaI16AYUvKtJoNPD29sahQ4dga2urjGYEBATgyJEj+Oabb/Dll1+W2g5nz56Fg4OD\\nUubSpUuxf/9+eHt7l9j36NGjuHPnDg4fPgwA2LhxI06cOIF3330XR44cQZ06dZRRQgBo2rQpNm/e\\nDI1GAxHBlClTMHv2bGW7t7c3Fi1ahAcPHiAyMlJpLycnJ9SqVQu+vr64fv268iKgf/75Bx07dsTt\\n27cBFI5I7969GzVq1ICXlxdq1KiBjIwMxMbGYvDgwRARxMTElPkVT6+99hrmzp2LxMRE5Ofn4/Tp\\n0+jWrRsCAgIQHh5e7jWrKLbiil5c5eXlVWocRdehbdu2qFatGlJTU/HFF18o1+Dha16Za2ZoaAh/\\nf39ER0fD398fHTt21Iqn6NimTZtiz549ysjzxo0b8e677yr7WltbY9q0aYiOjgYA1KhRA99++y0G\\nDhyI6tWrl1oPOzs7Zbm8vlzc9evXkZ2djY4dO0KlUmHfvn1YunSpUqdGjRph8+bNEBFcunQJHTp0\\nwMGDB3H16lXk5OQo58zLy1NG1+7fv4/o6GhYWVmhbt265bZb8Xvn4fvIy8sLd+7cQVRUFKZMmVLm\\nfV7Ub48cOaKM6Bc5cuSIcl5vb29cu3YNEyZMwNdffw0DAwPlWpR1v7z33nvYtWuXcm1r1KihxFG8\\nzYvHUa9ePZw4cQJ5eXm4d+8eoqKikJeXh0aNGlXYh4qXqWtfd3V1hbm5eYV1Kq/PP9yPil/X69ev\\nY/Lkycqo98P3R3nx7tu3DwMGDFBeuFirVi3o6enByMhIqx7VqlVDkyZNsGrVKgCFLwQbM2YMRo0a\\nBWNj4xLnLO7h2A8ePFji35TK3n8Pt23xFyMWL6doe0BAAIyNjeHr64uNGzcCKHwRY+/evfHXX3+V\\n+zstMTERdnZ2sLGxKVEmAGzYsKHMl1ASERHRS6CyGXd4eLjykpYiR48elRo1aigjYiIi9evXl/j4\\neNFoNGJubi6JiYkiIvLNN99I/fr1xcfHRxo2bChjxowp8bUrj3KMSOELmSIjI8XNzU08PDykT58+\\ncvPmTRERefPNN5XnMEUKn2Fr0qSJiIj8z//8j3Tq1EnZVjTC8PHHH5fZDllZWdK+fXvx9fWVdu3a\\nSUJCgjRu3FiaNGmi1Q4iIp07d5ZJkyZJmzZtxN3dXfz9/ZXnpb/99luJiIjQ2v/WrVvSvXt3cXZ2\\nFldXV+nZs6fWc4JTp04VALJjxw5l3YwZM+TNN99UlleuXCkNGjQQNzc38fX1lV9//VXZFhcXJwCU\\n59wzMjIEgIwdO1ZECkctAcj169dLrbtarZZJkyaJs7OzVKtWTTw8PGTcuHGSnZ2t7FPeNSsvtuIm\\nTJigvLiqLD///LO4uLhIcHCwfPDBB7J06VKxsrKSX375RevZW5HKX7OPP/5YTExMSnyF0+uvvy4z\\nZ85UlseOHSsuLi7i5uYmrVq1UvqriEjjxo0lODhYWR46dKiYmZmV+XVuhw4dEktLS+V5/PL68sOi\\noqLEzc1NWrduLTNnzpThw4dLvXr15MSJE3Lt2jUJCwsTW1tbcXV1lfnz54tI4cihh4eH1K1bVy5c\\nuCA3btyQoKAgadKkiXTt2lU+++wzCQkJqbDdZsyYodw7D99HIoUzVQICAkrcE0WK99uZM2dq3QtF\\no+JFo7RqtVqqVaum9Qy7SPn3S0JCgvKyN29vb+nRo4fyIq3IyEixsrKSlStXasVx79496dq1qzg6\\nOkpISIhMmTJFXFxcKmwLjUajVaZI5fv6tGnTpGvXrpWqU3l9/uF+tGfPHnF1dZW2bdtK//79pVev\\nXjJ+/HgRkRL3R3nx5uXlyYABA8TFxUX8/PzE39+/zK86PH36tISEhIi7u7s0aNBAJkyYoNz7YWFh\\nMnv27FKPezh2KysrOXDggLL9vffe0xpJLu/+K87S0lIpp2gmxunTp0WkcAaKkZGRcq8fPXpUWrRo\\nIa6uruLu7i7jxo1TXrxY1u+07777TqvfXrlyRfT09JRnsh0cHMq87kRERPTiU4kU+76n/3Jnz55F\\n69atcfLkSVhZWT12ea6urliyZEmJr3shepk9ePAAPj4+WLBgAUJCQqo6HJ2ICFQqFQBgzJgxSE1N\\nxcKFC6s4KiIiIiJ63uj0PdIvs5s3byIyMhJffvnlE0mi79y5g5SUFOXlT0T/DQoKCjB06FAEBwe/\\ncEl0q1atlO89PnfuHGJiYtC/f/8qjoqIiIiInkdMpAFER0ejSZMm6NWrV5nP2+nq2LFjsLOzeyJJ\\nOdGLYOXKlXB2doZarcaPP/5Y1eHobNKkSZg0aRLq1auHTp064euvv0bLli2rOiwiIiIieg5xajcR\\nERERERGRDjgiTURERERERKQDJtJEREREREREOmAiTURERERERKQDJtJEREREREREOmAiTURERERE\\nRKQDJtJEREREREREOmAiTURERERERKQDJtJEREREREREOmAiTURERERERKQDJtJEREREREREOmAi\\nTURERERERKQDJtJEREREREREOmAiTURERERERKQDJtJEREREREREOmAiTURERERERKQDJtJERERE\\nREREOmAiTURERERERKSDChPpCRMmIDw8vMT6VatWoW7duk8lKCIiIiIiIqLnFUekiYiIiIiIiHTw\\nRBJpjUaDYcOGwc3NDe7u7ggMDMTevXsBAHl5eejbty+cnZ3h6OiIiIgIpKenAwDUajWGDx8OR0dH\\n+Pv7Y/ny5TAwMMDFixcBAH///TeaN28OT09PNGrUCL/++qtyzo8//hjdunV7EuETERERERERVZrB\\nkyhky5Yt2LhxI06dOgVjY2PEx8dj5cqVaN68OWbOnInk5GScPXsWenp6iIiIwJQpU/Ddd99h1apV\\niIuLw5EjR2BpaYnBgwdDrVZDX18fmZmZiIiIwPz589GlSxf8888/aNKkCfz8/NCwYUP069cP9+7d\\nexLhExEREREREVXaExmRtre3R3p6OpYtW4a0tDR07NgRM2fOBACMHDkSmzZtgpGREQwMDNCuXTsk\\nJycDALZu3Yo33ngDtWrVgr6+PgYPHqyUuXXrVlhZWaFLly4AAFdXV3Tq1AmxsbEAgEaNGqFZs2ZP\\nInwiIiIiIiKiSqswkdbT04NarS6x/sGDBzAwKBzQ9vHxwerVq7Fx40Z4eXkhKCgIe/bsAQCcP38e\\n/fv3xyuvvIJmzZph7ty50Gg0AICbN2+iVq1aSpkuLi7K59TUVFy+fBnOzs7Kz+bNm5GRkfF4NSYi\\nIiIiIiJ6DBVO7XZ0dMTZs2eh0Wigp/f/efexY8e0Et9XX30Vr776KgoKCvDjjz+iS5cuSEtLQ2Rk\\nJEJDQ7FixQqoVCpMmzYNO3fuBABYWloiMzNTKSMlJUX5bG9vD3d3dxw/fvxJ1JOIiIiIiIjoiahw\\nRLpz58548OABRo0ahYyMDOTk5GDVqlX4/vvvERUVBQBYsGABBg8ejIKCAhgYGMDb2xsiAgC4ceMG\\nmjRpApVKheTkZKxcuRJ3794FAAQHByM+Ph7Z2dnQaDRYuHChct62bdvi+vXriI+PBwDk5ORg4MCB\\nSExMBAAcP34cBw4ceLKtQURERERERFSBChNpS0tL7Ny5E+fOnUP9+vVhY2ODL7/8EosXL8Ybb7wB\\nAHj77beRnZ0NV1dXuLq6YtSoUfjll18AANOmTcMnn3wCb29vjB07Fj/88APOnDmDYcOGITIyUnkr\\nd/PmzdGmTRsAgEqlgoWFBdavX4/Jkyejfv368PX1hZWVFfz8/AAAMTExmD59+lNqFiIiIiIiIqLS\\nqaRo6LiKFL2lGwCuX78Oe3t75OTkoHr16lUZFhEREREREVGpnshbux/Vnj174ODggCtXrgAA5s2b\\nh8DAQCbRRERERERE9Nx6It8j/aiCg4MxdOhQBAcHAyj8iqtly5ZVZUhERERERERE5aryqd1ERERE\\nREREL5IqndpNRERERERE9KJhIk1ERERERESkAybSRERERERERDpgIk1ERERERESkAybSRERERERE\\nRDpgIk1ERERERESkAybSRERERERERDpgIk1ERERERESkAybSRERERERERDpgIk1ERERERESkAybS\\nRERERERERDpgIk1ERERERESkAybSRERERERERDowqOoAHpemoADq+w8gGnnq51LpqaBvbAQ9gxe+\\n2YiIiIiIiOgRvfAj0s8qiQYA0QjU9x88k3MRERERERHR8+mFT6SfVRJdVecjIiIiIiKi58sLn0gT\\nERERERERPUsvXSK99D8/w9jcDMbmZrB2qIPX3ngdZ86eeaYxWFpawsjICCYmJjAxMYGpqSl8XyRr\\nogAAIABJREFUfX3x888/K/s4Oztjy5YtFZY1ePBgjBw5ssztP/zwwxOJuSr17dsX48aNe6RjV6xY\\ngVu3bgEA0tLSsGbNmicZGhERERERUQkvXSINAK8ENkXOrUwkHTsOO1s7DBg06JnHsG7dOuTl5SEv\\nLw9ZWVmYNm0a3nvvPRw8eBAAcODAAYSEhDzWOa5du4apU6c+iXBfWOPGjVMS6S1btjCRJiIiIiKi\\np+6lTKQBwMDAANa1rDFwwAAcO3EcAKDRaPB2ZC/YO9dDXVdn9O73LjIzMwEA586fh1N9V0z4YjKa\\nNA9CYItmuJCSUmrZmZmZUKlUOHHiRKVjef311+Hm5oajR48CAJo2bYpdu3YBKEyqGzdujPr166Nz\\n584YOXIk+vXrpxyfl5eHrl27wtbWFvXr18fOnTuRm5uLZs2aITU1FV5eXrhw4YLWOS9fvoxq1aph\\n3rx5aNu2LerWrYvZs2fjq6++Qps2beDi4oIVK1Yo+8+ZMwfe3t7w9PREYGAgtm3bBgBISkqCSqXS\\nKrtx48ZYtWoVACAmJgZeXl5wd3eHl5cXFixYoOy3cOFC+Pj4wMvLCy1btkRiYmKZbXTr1i2EhYXB\\nzs4Ofn5+2L9/PwDgxx9/RJs2bUq0fUZGBrp164Zz584hLCwMn3/+OYYPH47ff/8drVq1AgBcvHgR\\nnTp1goeHBzw9PfHBBx8gJycHADBgwACMGjUKb7/9NoKDg+Hl5YWdO3dW4moSEREREdF/u+cikV67\\ndi0iIyMxfPjwcpMtXWk0GqyJi4N7/frKuuZBQThxOBHnTiVBo9Hg88kTlW1p6elo2qQJDu3dh3ah\\nbTFrzvellmtqaorY2Fg4OTlVKo6CggKsWbMG//zzD1q0aKG1TUTw7rvvonfv3jh37hwmTpyImJgY\\n6OvrK/v89ttvmDp1KtLS0tCtWzeMGzcO1atXx8KFC2Fra4ukpCS4uLholWtoaIi8vDzo6elh27Zt\\n+PHHHzFixAjY2Nhgx44d+PrrrzF+/HgAwNatWzFp0iRs2rQJZ86cwdSpU9G5c2fcvHmz3Hrl5uZi\\n0KBBiI+PR3JyMhISErB27Vrk5eVh9+7dGDlyJNauXYukpCRER0fjjTfewIMHpb/1fPXq1Zg9ezZS\\nU1PRtWtXrT8klGX58uUAgE2bNmHixIkYPHgwOnXqhN27dwMAevfuDR8fH5w9exbHjh1DUlISpk2b\\nprTPypUrMWfOHOzZswf9+vXDZ599VuE5iYiIiIiIqjyRTk1NRefOnfHLL79g1qxZ+OCDDx67zMSj\\nR+BU3xW17O2QsHUr5s6aDQDQ09ND1LDhsLKygomJCXq90wNHjx1XjqtevToiXusIAAhq2hTnzp8r\\ntXxDQ0N069YN5ubmZcbQrVs3WFpawtLSEiYmJpg2bRpWr16NBg0aaO13/fp1nD59Wkkc/fz80LJl\\nS619wsPD4enpCQBo27YtLl26VOm26Ny5MwCgQYMGyM/PR/fu3ZXlK1euAADWrFmDN998E46OjgCA\\nDh06oFatWkpCWhYTExPUrl0b8+bNw5kzZ+Do6Ijff/8dJiYmWLlyJbp27Qo3NzcAQJcuXaBSqfDX\\nX3+VWlZ4eDg8PDwAFI4Wnzp1Cunp6ZWu58Nu3LiBP//8Ex999BEAwNjYGP369cP69euVfcLCwmBj\\nYwMA8Pf3x8WLFx/5fERERERE9N+jyhPpuLg4iPz/V0rt378f169ff6wyfRo2xP49e3Hl/AUcPXAQ\\nQU1fAVA4Qj3hi8nwC2wCDx9vfDjsIzzI//8R0hpmZspnAwMD5OXdf+QYVq1ahczMTGRmZqJXr15w\\nc3NDx44dS+xXNOprZWWlrHt4dLlmzZrKZz09PajV6krHYfZ/dSoa4S6+XFROWlqaklAWsba2Rlpa\\nWrll6+npYefOnbh9+zbat28PFxcXzJ8/H0DhH0hiY2Ph7Oys/OTm5iI1NbXUsuzs7JTPtWrVAgDl\\n2edHURR78Xo9XKfifwjRtV2JiIiIiOi/V5Un0m+++abWM7ivvPIK6tSp81hlGhoYws7WFqamplrr\\nV61Zg00Jm7F982acPXEKs2d+q5XEPy1ffvklNmzYgK1bt5bYZmlpCQDIyspS1qWU8Wz202JnZ1ci\\nab5x4wbq1KmjJODF2+nOnTvKZ3d3d/z000+4dOkSli1bhqioKJw6dQr29vbo06cPUlJSlJ+MjAz0\\n6NGj1BiKTyMvSqCtra2hr69f5rkrqhMArXoV1YmIiIiIiOhxVHkiXadOHaxevRq9evXCsGHDMG/e\\nvKd2rqw7WajrUBe1rGqhoKAAP//66yOVk5+fj7i4OGRnZ1dqf3t7e3z66acYMmRIiWeEHRwcUK9e\\nPeV53xMnTmDv3r2VKtfIyAg5OTllPndcWV27dsW6detw+fJlAMCGDRtw584dhISEoE6dOjAwMMDJ\\nkycBADt27FD2O3r0KEJDQ5XE18vLC8bGxhARdO/eHbGxscofBS5cuIDu3bsrL/t62B9//IGrV68C\\nAJYuXQo/Pz9YW1vD0dER58+fR15eHgBg2bJlyjF6enrQ19fH7du3lfYo+mxtbY2QkBDMmTMHQOEL\\n22JiYtClS5fHaisiIiIiIiKDqg4AKHyOt+hZ3qep1zs9EP/HH2jeuhWsatZEYJNAXLl6RedycnJy\\n0LlzZxw/fhw+Pj6VOmbEiBFYsGABZsyYgTFjxijr9fT0EBMTgw8//BDffPMNgoKC0LNnT9y7d6/C\\nMv39/eHg4IC6desiLi6uxIvMKis0NBQTJkxAWFgY1Go1atasiXXr1imj5VOnTkXXrl3h6OiIgIAA\\nBAcHQ61Ww8/PD23atEFgYCBEBEZGRhg/fjwaNmyoHBcREYH79+/DyMgIn3zySYlZAgCgVqvx9ttv\\nY8CAAUhOTkaNGjWwaNEiAED79u0RHByszFTo1asXVCoV1Go19PT00KNHD7z66quYOHEiXnvtNcya\\nNQtOTk64cOECli1bhg8//BAeHh5QqVSIiIgo9zu5iYiIiIiIKkMlz2Ju81P0ILv0Ec6nyahGyWTw\\ncWk0GujpFU4QGDRoECwtLTF9+vQnfh4iIiIiIiJ6PFU+tZsK31g9duxYAIVv8f79998REhJSxVER\\nERERERFRaTgi/Qie9Ih0UlISBg4ciJSUFBgaGmLAgAFKYk1ERERERETPlxc+kc7PyYVonl0VVHoq\\nGJpWf2bnIyIiIiIioufLCz+1W9/YCCo9VcU7PgEqPRX0jY2eybmIiIiIiIjo+fTCj0gTERERERER\\nPUsv/Ig0ERERERER0bPERJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTA\\nRJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIBwZVHcDj\\n0hQUQH3/AUQjVRqHSk8FfWMj6Bm88E1KRERERERE5XjhR6SfhyQaAEQjUN9/UNVhEBERERER0VP2\\nwifSz0MSXeR5ioWIiIiIiIiejhc+kSYiIiIiIiJ6ll66RHraV9NhbG5W4icnJ6eqQwMAWFpawsvL\\nq8T6e/fuwdzcHC1btqyCqB5NamoqVCoV7t69+0TLXbx48QvVDkRERERE9N/lpUukR48Yiaz0DOXn\\n/QHvoVPE6zA1Na3q0BS5ubnYs2eP1rrVq1fDwsKiiiIiIiIiIiKiynpuEulz587h9u3bj12Ovr4+\\nTExMYGJigtNJSVi5ehW+nfE/yvb18RvgE+APu3qO6PVuH2RmZla47b3Bg/DaG6/Dqb4rpk7/Ep6+\\nDfFmt66lnj8zMxMqlQonTpwoM8ZOnTph4cKFWuuWLFmCsLAwrXVz5syBt7c3PD09ERgYiG3btgEA\\nkpKSoFKptPZt3LgxVq1aBQCIiYmBl5cX3N3d4eXlhQULFij7LVy4ED4+PvDy8kLLli2RmJhYIr5F\\nixahQ4cOyvLo0aNRq1YtiBQ+Ax4bG4vmzZsr29etWwdvb29YWlqiT58+0Gg0AIBr166hS5cu8PT0\\nhLe3N8aMGYOCggIAwP379zFixAh4enrCy8sLb7/9NjIyMspsMyIiIiIioudFlSfSIoLAwEC4u7vD\\nxsYGn3zyyRMpV6PRYGjUcHw+9jPUdXAAAKTfuIG+A9/Dj99/j5QzydBoBJ9PnljhNgAIbd0GM7+e\\ngZ9iFuDI/oNIPpeMlIsXS5zX1NQUsbGxcHJyKjO2d955B2vWrFGmm1++fBknTpxAu3btlH22bt2K\\nSZMmYdOmTThz5gymTp2Kzp074+bNm+XWOzc3F4MGDUJ8fDySk5ORkJCAtWvXIi8vD7t378bIkSOx\\ndu1aJCUlITo6Gm+88QYePNB+23iHDh2wd+9eJendvn07GjRogGPHjgEAduzYgfDwcGX/I0eO4MSJ\\nEzh9+jTWr1+P7du3AwD69OkDR0dHJCUl4cCBA9i+fTvmz58PAJg+fTr27t2LQ4cOISkpCXZ2dhgy\\nZEi5dSMiIiIiInoeVHkivXPnThw6dAgAoFarsXTpUmXk83HMW7AAeio9DB44UFm3dds2+DdqjJYt\\ngmFiYoLhQ4ci/o8/KtwGAC7OLnBxdoGToxOqVauGug4OSL+RXuK8hoaG6NatG8zNzcuMzd7eHi1a\\ntMDKlSsBAMuWLUPPnj1haGio7LNmzRq8+eabcHR0BFCY3NaqVQu7d+8ut94mJiaoXbs25s2bhzNn\\nzsDR0RG///47TExMsHLlSnTt2hVubm4AgC5dukClUuGvv/7SKsPBwQFOTk44dOgQMjMzkZubizfe\\neAM7duwAUJhYF0+kP/roI+jp6aFOnTpo0KABLl26hJs3b2Lbtm0YPXo0VCoVTE1NMXDgQKxYsQJA\\n4aj2kCFDYGZmBgD4+OOPsXr1aiV5JyIiIiIiel5VeSJtYmKitSwiyM/Pf6wy09LT8cW0qfhh9vfQ\\n0/v/Kt7IuIHatW2UZdvatkhLT69wGwDo6+tBX18f+vr6/7es/1hJX//+/ZXp3UuWLEHfvn2165CW\\nBhsbG6111tbWSEtLK7dcPT097Ny5E7dv30b79u3h4uKijAKnpqYiNjYWzs7Oyk9ubi5SU1NLlBMW\\nFoZdu3Zh+/btaNmyJVq1aoUdO3YgLS0N6enpaNq0qbJvzZo1tc6vVquVMoODg5VzjR8/Xpkun5qa\\nihEjRijb2rZtCzMzs1JjISIiIiIiep4YVHUAQUFB8PHxwYkTJ6Cvr4+BAwfCyMjoscoc9em/0b9v\\nX/g0bKi13sbaBunpN5TltPQ01P6/ZLW8bWV5nJHzN954Ax988AFWrFgBMzMz+Pn54ezZs8p2Ozu7\\nEknzjRs3UKdOHSWZFxHlWek7d+4o+7m7u+Onn34CAPz5558IDw9HcHAw7O3t0adPH8yePbvC+Dp0\\n6IA5c+bg0qVLaNOmDQIDA3Hw4EFs374d7du31/oDRWns7e0BAIcOHUKtWrVK3T5+/Hh07Vr6s+ZE\\nRERERETPqyofkVapVDh+/DiSk5Nx48YNTJo06bHK27p9O/YfOIARwz9GXl6e8iMiaBsaisNHEvHn\\nX3uQl5eHWXPmoGP4awBQ7jZd5OfnIy4uDtnZ2eXuZ2hoiMjISIwcORL9+vUrsb1r165Yt24dLl++\\nDADYsGED7ty5g5CQENSpUwcGBgY4efIkgMJnlov2O3r0KEJDQ3Hr1i0AgJeXF4yNjSEi6N69O2Jj\\nY5GSkgIAuHDhArp3717qV4O1bt0ahw8fxvbt2xEaGgpDQ0N4eHhg7ty5WtO6y1KzZk20a9cOX3/9\\nNYDCZ9a//PJLLFu2DADQrVs3zJ07Vzl3fHw8oqOjKyyXiIiIiIioqlX5iHSR+vXrP5FyVq1ZjQsp\\nKbB1qqu1/vDf+9HQ2xuLfpqPQUOGIONmBkJbt8HEz8YDAGxr1y5zmy5ycnLQuXNnHD9+HD4+PuXu\\n279/f8ydOxe9evUqsS00NBQTJkxAWFgY1Go1atasiXXr1sHS0hIAMHXqVHTt2hWOjo4ICAhAcHAw\\n1Go1/Pz8lBFkEYGRkRHGjx+Phv83Oj916lRERETg/v37MDIywieffFLqV4NVq1YN3t7euHLlCuzs\\n7AAAISEhmDhxovJsd0WWLl2KoUOHws3NDWq1GoGBgejfvz+AwjeBZ2Vlwd/fH2q1GrVr18asWbMq\\nVS4REREREVFVUsmTeLNXFXqQXXI0tSoZ1Xh+vq+aiIiIiIiInrwqn9pNRERERERE9CJhIk1ERERE\\nRESkgxc+kVbpqao6BMXzFAsRERERERE9HS98Iq1vbPRcJLAqPRX0jR/va7uIiIiIiIjo+ffCv2yM\\niIiIiIiI6Fl64UekiYiIiIiIiJ4lJtJEREREREREOmAiTURERERERKQDJtJEREREREREOmAiTURE\\nRERERKQDJtJEREREREREOmAiTURERERERKQDJtJEREREREREOmAiTURERERERKQDJtJERERERERE\\nOmAiTURERERERKQDJtJEREREREREOmAiTURERERERKQDJtJEREREREREOmAiTURERERERKQDJtJE\\nREREREREOmAiTURERERERKQDJtJEREREREREOjCoaAfXH+4+izjoJfWZSWxVh0AvqH79+lV1CERE\\nREREpaowkSZ6HG+99VZVh0AvoLi4uKoOgYiIiIioTBUm0p+ZxHJkiB7JokWLADCRJiIiIiKilwuf\\nkSYiIiIiIiLSARNpIiIiIiIiIh0wkSYiIiIiIiLSARNpIiIiIiIiIh0wkSYiIiIiIiLSwRNNpL/9\\n9luoVCosX768xLYvvvgCKpUKW7ZseaxzeHl5Yf369ZXa19LSEkZGRjAxMYGJiQns7e0xaNAg3Llz\\n57FieNjixYvRsmXLJ1rmf5sDBw5g+vTpOH36dIltf/31F6ZPn46UlJTHOsf8+fNx7ty5Su27ZMkS\\nJCYmVmrf2NhYfPvttzhz5szjhEdERERERC+IJz4i7ejoiJiYmBLrly5dCgcHhyd9ugqtW7cOeXl5\\nyMvLw99//41Tp04hKiqqxH5qtfqRz/HOO+9g3bp1jxMmAahRowaOHj1aYv2JEydQo0aNKoioYrm5\\nufjnn3/Qv39/eHp6VnU4RERERET0DFT4PdK6Cg4ORkJCAi5evIh69eoBAPbs2QNzc3NUr15d2e/+\\n/fsYM2YM1q9fD5VKBT8/P8ydOxfW1tZIT09H3759cfbsWWg0Gnh7eyMmJga2trYAgOTkZDRr1gzJ\\nycnw8vJCbGws7O3tK4zNyckJo0aNwvvvvw+g8HuOY2NjYWJigpSUFBw+fBh///03oqKicOvWLZiY\\nmOCTTz5Bz5498emnn+LMmTNYs2aNUl63bt3g5eWF+vXrY8GCBfjzzz/LrFd2djZ8fHyQmZkJQ0ND\\nxMfHIyIiAkeOHEGjRo1w48YN1K1bFxkZGc9t0vi0OTg44OLFi8jKyoKFhQUA4MqVKzA2NoahoaGy\\nX0FBAXbu3Inz589DpVLBxsYGHTp0QPXq1ZGTk4P4+HjcunULIgJra2uEh4fDzMwMAHD79m0sW7YM\\nt27dgpWVFd56660K2zs+Ph4mJia4c+cOsrOzkZeXh7CwMNja2mLZsmUAgOXLl6N169ZwdXXFjh07\\ncOHCBQCFsyI6dOgAS0vLp9FkRERERERUBZ74iLS+vj66d++OxYsXK+sWL16MPn36oKCgQFk3ffp0\\n7N27F4cOHUJSUhLs7OwwZMgQAIVTxK2trXHu3DmcP38ewcHB2LRpk3Ls+vXrsWnTJqSmpkJPTw8/\\n/PBDpePTaDRKUmZiYoLdu3djwIABOHz4MDIzMxEREYFRo0bhzJkz+O233/Dhhx/i5MmT6N27NzZu\\n3Ii7d+8CAO7evYv4+Hj06dNHq/yy6uXi4gJ7e3scPHgQALBt2zYEBwdjx44dAIAdO3agRYsW/7VJ\\nNADo6enB09MTx48fV9YdP34c3t7e0Gg0yrp9+/bh2rVr6Nu3LwYOHAgzMzNs3rwZAHDw4EFUq1YN\\ngwYNwqBBg+Dg4KA1JfzcuXPo3r07hg4dCpVKVanp2/r6+khKSkL79u3Rp08f+Pr6Yvfu3TA2NkZk\\nZCQAoG/fvvD09MTevXuRkZGB/v374/3334etrW2lH0UgIiIiIqIXw1N52Vj//v2xePFiiAju3buH\\nuLg4JeEoEhsbiyFDhigjhR9//DFWr16NgoICODo6Yt++fdiwYQNyc3Px6aef4l//+pdybN++fWFh\\nYQFDQ0O0atUKly5dqlRcV65cwYwZM9ClSxcAgEqlgqWlJSIiIgAAW7duhZWVlbLd1dUVnTp1Qmxs\\nLBo2bAhPT08lKYqLi4Ovr2+J6bzl1atDhw7YtWsXgMJEetSoUUoivX37doSHh1e6jV9Wvr6+OH78\\nOEQE+fn5SE5ORsOGDbX2SUpKQkBAAIyMjAAAgYGByuyFGjVq4Nq1azh37hzy8/PRvHlz+Pj4aJVv\\nYmICfX19ODo6Vvp5eVdXV5iamgIAbG1tkZWVVep+Z8+eRaNGjWBgUDjZw9/fH1evXkVeXp7ObUFE\\nRERERM+nJz61GwCaNm0KMzMzbNu2DWlpaQgJCYG1tbXWPqmpqRgxYgTGjh2rrDMzM0Nqaio++OAD\\n6OnpYcaMGejRowfat2+PWbNmoW7dugCAmjVrKsfo6emV+3xzt27dYGBgABFBzZo10aVLF3zxxRfK\\n9tq1a2vFdPnyZTg7Oyvr8vLy0K1bNwBA7969sXLlSvTo0QMrVqzQSu4rU6+wsDDMmzcPAwcOxL17\\n9xAREYFhw4ZBRLBjxw78+uuvFTXtS8/e3h5GRka4ePEicnNz4ejoqPVIAADk5ORg+/btyh8lAMDI\\nyAh3795FQEAAVCoV9u/fj3Xr1sHFxQXt2rWDubk5gMJZCEVUKhVEpFJxFSXtRceVJTc3F9WqVVOW\\niz7n5ORonZuIiIiIiF5cTyWRBgpHpf/zn//g2rVrypTt4uzt7TF+/Hh07dq11OOLpubeuXMHQ4cO\\nRXR0NFauXKlzHKtWrSp3pLd4UmRvbw93d3etqcXF9ezZExMmTMDVq1exfft2LFq0qMQ+5dXLwsIC\\nAwYMwNatWxESEgIDAwN4eHggISEBWVlZaNSokc71exn5+fnh1KlTuHv3Lvz9/UtsNzMzQ4sWLeDl\\n5VXq8f7+/vD398f9+/eRkJCAbdu24a233nraYQMATE1NkZubqywXfS6aoUBERERERC++p/Y90r17\\n90ZCQgJOnTqF1157rcT2bt26Ye7cucjJyQFQ+EKn6OhoAMB7772HBQsWAADMzc3h4uJS6ZHDx9G2\\nbVtcv34d8fHxAApHEQcOHKg8R+vg4ICgoCBER0fj1VdfLTHKXlG9atSogQYNGmD27NkIDQ0FAISE\\nhOCLL75Ahw4dnnr9XhTe3t5ISUlBRkYG3NzcSmz39PREYmIiHjx4AAA4f/48tm7dCgDYuHGj8uZv\\nY2Nj5aVlz4qHhweOHj2qvA/g8OHDqFevHoyNjZ9pHERERERE9PQ8tRFpGxsbvPLKK3BxcVGeFy1u\\n9OjRyMrKgr+/P9RqNWrXro1Zs2YBAKKiovDhhx9i8uTJ0NfXh4eHB3788cenFarCwsIC69evR1RU\\nFIYNGwaNRoPu3bvDz89P2ScyMhIDBgzA6tWrSy2jvHoBQFhYGMaNG6eMroeEhGD8+PGljtr/tzI1\\nNUWdOnVgYWEBPb2Sf+sJCgrC/fv3sXjxYmg0GpiamqJdu3YACp+X3rx5M/bs2QM9PT1YWVkhLCzs\\nmcXerFkz5OXlYeHChQAAa2trdOzY8Zmdn4iIiIiInj6VVDDUu2jRIvTr1+9ZxUMvkUWLFj2zKdX0\\ncomLi+PvHSIiIiJ6bj21qd1ERERERERELyMm0kREREREREQ6YCJNREREREREpAMm0kREREREREQ6\\nYCJNREREREREpAMm0kREREREREQ6YCJNREREREREpAODqg6AXm5xcXFVHQK9oBYtWlTVIRARERHR\\nf6l+/fqVu52JND01FXU+IiIiIiKi501lBnQ4tZuIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhI\\nB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqI\\niIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiI\\niHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0yk\\niYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiI\\niIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTARJqIiIiIiIhIB0ykiYiIiIiIiHTA\\nRJqIiIiIiIj+l717D5ajrvP//+qe+8y5JOckOQm5kZxcSEKAEJKAEBJQEIIgC8iyy7qKW1atruWW\\nlrUrLrX1Vat+u7Wuu265apU3xAVZXcWAXLygEG4BokYEApJAEsgNkpDknDO3nu7+/P6YmUMCme6e\\ncM6EnHk+rFORnE+6e17T8+l+z6e7P2gChTQAAAAAAE2gkAYAAAAAoAkU0gAAAAAANIFCGgAAAACA\\nJlBIAwAAAADQBAppAAAAAACaQCENAAAAAEATKKQBAAAAAGgChTQAAAAAAE2gkAYAAAAAoAkU0gAA\\nAAAANIFCGgAAAACAJlBIAwAAAADQBAppAAAAAACaQCENAAAAAEATKKQBAAAAAGgChTQAAAAAAE2g\\nkAYAAAAAoAkU0gAAAAAANIFCGgAAAACAJlBIAwAAAADQBAppAAAAAACaQCENAAAAAEATKKQBAAAA\\nAGgChTQAAAAAAE2gkAYAAAAAoAkU0gAAAAAANIFCGgAAAACAJlBIAwAAAADQBAppAABR9f78AAAg\\nAElEQVQAAACaQCENAAAAAEATKKQBAAAAAGgChTQAAAAAAE2gkAYAAAAAoAkU0gAAAAAANIFCGgAA\\nAACAJlBIAwAAAADQBAppAAAAAACaQCENAAAAAEATKKQBAAAAAGgChTQAAAAAAE2gkAYAAAAAoAkU\\n0gAAAAAANIFCGgAAAACAJlBIAwAAAADQBAppAAAAAACaQCENAAAAAEATKKQBAAAAAGgChTQAAAAA\\nAE2gkAYAAAAAoAkU0gAAAAAANIFCGgAAAACAJlBIAwAAAADQhPjx3gAAAAAAQOv5vi/f92WMael6\\nLcuSbduy7RN3XJdCGgAAAADajDFGmzc/rxf+9Cc5Fb+l604kEpo7d65OOeUUWZbV0nWPFAppAAAA\\nAGgzruvq9h/colu+9x/q6Y7JatHgsPGlAwNJXXvdx/WFL3xByWSyNSseYRTSAAAAANBmPM/TUN7T\\nJatz+n//0KNMujUjw6WS0f/3Xwc0NDQkz/Nass7RQCENAAAAAG0qkZA6crYy6dYMScfjvpJJS25L\\n1jZ6KKQBAAAAoE0ZSb6MfLXmPmlfRkatfbjZaDhxH5MGAAAAAMBxwIg0AAAAALQpIyPf+PJMa+6R\\n9oypTrd1Yj6sexgj0gAAAADQxk78C61bjxFpAAAAAGhTRmrpXctj4w5pCmkAAAAAaGtGrRuVHgtF\\ntEQhDQAAAABtywz/r7XrO9FRSAMAAABAG2t1IT0WUEgDAAAAQJt64x7p1jxG25ixUUpTSAMAAABA\\n2zLyjeSb1pS3vsbGqDSFNAAAAAAco3379mnnzp06ePCgXNdVIpFQb2+vpk2bpu7ubjmOo+eff157\\n9uw54t/lcjktWLBAPT09kqojtQcPHtS2bdt04MAB2batiRMnas6cOUqlUsP/znVdvfzyy9q9e7fK\\n5bJyuZymT5+uvr4+xWKxprffvOnP0Xbil9BVFNIAAAAAcIyeeuop/eQnP9GmTZtULBaVSqXU39+v\\nK664QmvWrNHBgwf1r//6r7r33ns1Y8YM2bYtSZo1a5ZuvPFGLV++XJJ08OBB/fKXv9Ttt9+unTt3\\nKhaLqb+/Xx/72Md07rnnyrKql15v2bJF3/72t7Vhwwbl83mNHz9el1xyiT7wgQ9oxowZx/QafKa/\\nahqFNAAAAAAco0mTJukDH/iAenp61NXVpZdeeknf//739Z//+Z9asGCBxo8fr3g8rnPPPVdf//rX\\nlc1mJUnxeFwdHR2SqqPRDz/8sG655Rb19fXpxhtv1ODgoL72ta/pM5/5jO6//37lcjm5rqsvf/nL\\n2rJliz784Q/r9NNP17333qt77rlHxhh96lOfOqZRaTSPQhoAAAAAjtHixYuP+O+ZM2fq9ddf13/8\\nx39oy5YtWrZsmSzLkm3bSqVSSqfTisViSqVSw0VvsVjUxo0bZYzR3/7t32rFihWqVCrq7OzUJZdc\\nooceekgXXXSRtm7dqvXr1+vjH/+4rrzySo0fP16TJk3Sa6+9pieffFK7d+/WtGnTGm6rOew+aGNM\\n7cFfRr6MvNGJ5y38MTImbR/vDQAAAACAscAYoxdffFHr169XKpXSwoULJUmVSkWPPPKIlixZorPO\\nOksf/ehHtWHDBpXLZUnS7t27tXPnTvX19WnRokWSpEQioalTp6q/v19PPvmkXNfVH//4R1mWNTzS\\nLUnTpk3T7NmzNTg4qM2bNzfcNsdxlM/nNTg4OPzjOM4oJzJ2MSINAAAAAG/D7t279eUvf1k//OEP\\n5fu+lixZon/+53/WzJkzVSgUdOmll+ryyy/X1KlTtWfPHt1yyy369Kc/rc9//vO68MILNTQ0pEKh\\noK6uLuVyueHlxmIx9fb26tVXX5UxRvv27VMul1MymTxi/dlsVrFYTIcOHWq4jbfccou++tWvDj/0\\nzBijfD6vv/pLW76M/NGJ5i1aeT/2aKKQBgAAAIC3oaenRzfccINWr16tLVu26NFHH9X3vvc9zZs3\\nTyeddJLe//73y7ZtJRIJVSoVnXLKKfrEJz6hxx57TAsWLBi+zNqyrOGHih2ufkm27/uybfstber/\\nbQKmsLriiiu0fPlyVSoVSVK5XNY3vvENSWtHKIX2QiENAAAAAG9DMpnUvHnzNGvWLJ199tnq6+vT\\nD37wA91333366Ec/qq6uruG2qVRKCxYs0EknnaS9e/fq4MGDymazSqfTKpVKKhaLymQykqqF88DA\\ngHp6emRZlsaNG6dCoTBcDNeVSiV5njf88LKjmTRpkiZMmHDEv5k0aZIGD1XnkPZbNEzs1b400Fu/\\nLzihcI80AAAAALwNlmUpkUgom81qwoQJmjx5sowxb5k7us5xHA0NDcmyLMXjcU2aNEl9fX3av3+/\\nXnrpJUnV+aL37dun7du3a/HixYrFYjrllFPkuq62bdumwcFBSdV5rHfs2KFMJqOZM2cGbmMsFjvi\\nx7ZtGamlP2MFI9IAAAAAcIzWr18vy7I0bdo0xeNx7dy5U/fff78GBga0cOFC7d+/Xw888ICWLFmi\\nrq4uHTx4UHfffbd27NihSy+9VH19fers7NSiRYv0hz/8QT/84Q91/fXXK5/P6wc/+IF6enp03nnn\\nKR6Pa+7cuVqwYIF+/vOfa+LEiZo/f74eeughPffcczr99NMDn9iNkUUhDQAAAADHaNOmTfr9738v\\n368+rst1Xbmuq/e97306++yzNTg4qLVr1+oXv/iFYrGYjDHav3+/1qxZo9WrV6u7u1u2beucc87R\\nrl279Nhjj+lf/uVf5Hme8vm8PvnJT2ratGmyLEudnZ36yEc+oh/96Ef6n//5H6XTaQ0ODmrevHm6\\n/PLLh+eoblYrR4v92rpO8Cu7KaQBAAAA4Fideuqpcl1Xe/fule/76urqUn9/v5YuXaopU6bowIED\\nuvDCC7Vnzx6VSiXlcjmtWrVK55xzjqZNmybbrt5te/LJJ+uaa67RlClTtHXrVsXjcc2bN08XXXTR\\nEQ8Xu/DCC5VOp/XUU09pYGBAkyZN0vLly98yn3Uzxtpl161AIQ0AAAAAx2jFihVasWJFw9/39PTo\\nIx/5SOhybNvWrFmzNGvWrMB2qVRKF1xwgS644IKmt/VozPD/WjNGXJ/+ihFpAAAAAMAJyah6ubXf\\nojHpsTL6TSENAAAAAG2slcVtwFTXJxQKaQAAAABoU0aSb9SyeaTrDxs70TGPNAAAAACgJcZCES0x\\nIg0AAAAAbeuNe6Rbt76xUEwzIg0AAAAAQBMYkQYAAACANlUdkbbktWhCKk+MSAMAAAAATmgn+ozO\\nxwcj0gAAAADQpoxp7VO7jRkbU2AxIg0AAAAAaIkxUENLYkQaAAAAANrWG0/tbs0l3r6MzBi4nJxC\\nGgAAAADamJHVspHiVq5rNFFIAwAAAECbqo9It66QHhsopAEAAACgTRlVR4lbd2n32CimedgYAAAA\\nAABNoJAGAAAAgLbV4nuWx8JwtLi0GwAAAADalpFkjCXftPLS7hP/qd2MSAMAAABAGxsjg8QtxYg0\\nAAAAALSp6lO7LXktGiX2NDYKd0akAQAAAABoAiPSAAAAANCmjCx5sls4Im1aNtXWaGJEGgAAAACA\\nJjAiDQAAAABtyhhr+Kc165M0BkakKaQBAAAAoI0ZtfgBYGPgaWMU0gAAAADQpqpP7VbL7lv2ZcZC\\nHU0hDQAAAADtzMhqWXHbynWNJgppAAAAAGhT1cK2+tMKvlHL1jWaKKQBAAAAoI35xpLfqoeNtWQt\\no49CGgAAAADalBn+s1WFNPdIAwAAAABOaJb8Fl7aXV3PiX9pt328NwAAAAAAcHy0enS45VNtjRJG\\npAEAAACgTRlJnix5LZv+amw8tZsRaQAAAAAAmkAhDQAAAABAE7i0GwAAAADalDGWfGPLM60ZY/VM\\ndZ0nOkakAQAAAKCNjYV7lluNEWkAAAAAaFPVp2i3bvqrsfKwMQppAAAAAGhjrZ+S6sS/tJtCGgAA\\nAADaVH002mdEuikU0gAAAADQxlp5aXd1PYxIAwAAAABOUPUiumWFtGFEGgAAAABwgvONJb9FU1L5\\nLSzaRxOFNAAAAAC0qVY/tXssXNYtUUgDAAAAQBtr7aXdY2VE2j7eGwAAAAAAOH5aes/yWLhBWoxI\\nAwAAAEDbqt8f7bXoHmlPlswYKKYZkQYAAAAAoAmMSAMAAABAmzKSPNnyWjTG6ql6n/SJjhFpAAAA\\nAACawIg0AAAAALQpI0u+seWb1oyxVu+PZkQaAAAAAIBIjMbGg7sZkQYAAACANmVkya/9tIIve0zM\\nI00hDQAAAABtzMhqWXFrxsR4NJd2AwAAAADQFEakAQAAAKBNGbX2vmUzNgakKaQBAAAAoJ1Vn9zd\\nqku7rTFxcTeFNAAAAAC0Las2It2qQnpsoJAGAAAAgDZVLaJb9yTtVq5rNPGwMQAAAABoY60cJWZE\\nGgAAAABwQqveH23LM60ZY/WNZFp0P/ZoYkQaAAAAAIAmMCINAAAAAG3KyJIvyW/Rfcv+GHlqNyPS\\nAAAAANDWTvxLrVuNEWkAAAAAaFPGSJ6xFGvRPdKeMS0b/R5NFNIAAAAA0Kaql1m38nLrE7+Iliik\\nAQAAAKBtVe+Rtlp8j/SJX0xTSAMAAABAGzMtLG7HQhEtUUgDAAAAQNsysmSMWnZpt9HYKKYppAEA\\nAACgjVWL6RaNSBurdVX7KKKQBgAAAIA21spRYqMxUUdTSAMAAABAu6o+bMxu4cPGbI2FJ3e3ZrIw\\nAAAAAADGCAppAAAAAACawKXdAAAAANCmjLHkG1u+ac0Yq2/GxlO7GZEGAAAAAKAJjEgDAAAAQJsy\\nkjxJdsseNmbJb8maRhcj0gAAAADQ1lp3qfVYmPpKYkQaAAAAANqWkTV8n3RL1mcM90gDAAAAAE5s\\nrSxsjawxMSzNiDQAAAAAHKNnnnlGDz/8sLZs2aJisahcLqeFCxdq9erVmjVr1lva/+QnP9G6deu0\\nbNkyXXzxxerr65Mk+b6vzZs36xe/+IVeeOEFxeNxnXbaabrqqqs0bty44X9fKpX0q1/9So8//rgO\\nHDigk046SRdccIGWLVumZDLZ9PYbSb6q9y63gtGYqKMZkQYAAACAY3XgwAENDg4qk8lowoQJcl1X\\n999/v26++Wbt37//iLbPPfec7rjjDv34xz/Whg0bNDAwMPy7F154QbfffrseeOABJZNJeZ6nO++8\\nU9/85jfl+288nuuuu+7Sbbfdpj179iibzWrTpk267bbb9Nhjjx3zazAt/BkLDxqTGJEGAAAAgGM2\\ne/ZsTZo0SblcTul0Wvv27dPtt9+uX//617rsssvU29srY4wGBwf1rW99S7NmzdKzzz6rePyNUsx1\\nXa1fv15PPPGEVq9erWuvvVaFQkH/93//p+9+97u6+uqrNWvWLB06dEi33Xabent7df3112vOnDla\\nv369fvSjH+m+++7TWWedpY6Ojqa236g6l3SrLu82at26RhOFNAAAAAAco6lTpw7/f2OMEomE+vr6\\nZIxRpVKRJJXLZd15553aunWrvvCFL2jDhg2yrDeKyUOHDun5559XJpPRlVdeqVmzZsnzPF199dX6\\n7ne/q0cffVTTp0/XCy+8oBdffFHXXnutVqxYoVwup46ODv3xj3/Upk2b9PLLL2vhwoVH3U7f9+V5\\nnoypXljtOI48z5NqRbQxLSqkW7Se0UYhDQAAAABvQ7FY1KZNm7Rt2zbt2bNHGzdu1NKlSzVv3jw5\\njqNnnnlGt9xyi/7u7/5Oc+bMUSKROOLf7927V3v37lVPT49mzpwpSYrFYurp6dH06dP17LPPyvM8\\nbd68WYlEQtOnT1cul5Mk9fT0aMqUKdq4caN27NjRsJB+4YUX9Mwzz6hQKEiSKpWKnn/+eZleRqSP\\nBYU0AAAAALwNQ0NDuv/++3X33XerUChoypQp+uAHP6hcLqddu3bp5ptv1qmnnqpLLrlEmUzmLf++\\nVCqpXC5r3LhxSqfTw39v27Y6Ozt18OBBGWM0MDCgTCZzxGXhkpRKpWTbtvL5fMNtfPbZZ3X77bcP\\n37fteZ62bdumqasS8mXJb9FIsW+sMfGwMQppAAAAAHgbenp69NGPflTXXHONXnzxRa1du1bf//73\\nNXnyZO3Zs0f33HOPvv3tb+tPf/qTLMvSwMCA9u7dq82bN2vChAmybVu2bcv3ffm+L9uuPhPaGCPX\\ndYdHsOPxuHzfH748u67+MLJYLNZwG6+44gpdeumlw/+2WCzqC1/4gp58/e7RiGTMo5BGUx5ct05f\\ne/xRZfzg75FOcj1tTiaU84Ofy9fneno13vgDXzfB87UvFvyQ+YQxsiWVreBv07o8X/mYLS9knVNc\\nTzsSccVM8GudWXH1QjKhVEi72Y6r51MJJUPa9TuunkknQjOe7bh6Op0MzXiy62lPhIwnur72xoMz\\njhkpIaNSSMadnq+ibcsN+WJziutpVzyusO8lp1dcbYmQ8SzH1TMRMul3XD2bTigdknG/4+qPLc7Y\\nMlJaRsWQjHO+kWNZqoRk3Ov62he3Qy+gmlbxtDUZVyIk45MdV89GzTiVUDrC/v50OqnsCGU8yfX1\\nWkjGkpT1jQp2cCoZ38izLDkh4fV4vg7E7NBv15vJ+Ll0UpkIGW9KhX8uqhknlA3Z36e4nnZHytjT\\naxHa9Xq+9of02ynfSFZ4vz3O8zUQs0Of9Dq14unlZIR+23H1fISMZzuunouYcZR+m2PjW0U9Nn7k\\nXedp9apVIVsHHD/1y7B7enrU39+vZDKpL3/5y1q7dq0mT54sx3H04Q9/eLj9/v37tXHjRm3YsEH/\\n8i//ojPOOEMdHR3K5/M6dOiQxo8fP3yP9b59+3TSSSfJtm319fUpn8+rUCgMF9ye52loaEi+72v8\\n+PENtzGRSBxxSXksFhueLsvIauH0V5bEpd1oRzvicb2aaHyA7y+7mu24eikZ16GAA/zioqOZxtWT\\n2ZScgAP8ikJZCWP0WDYtP+Azd8FQUSnf6Nddb71c5nBrBgqyjdG6jsbtYka6aiAvX9L6XLphu7Rv\\nNLPiqmRZ2pBNNWzX7fma7bjaH4vpxVTjj11fxVO/42pXPK7dARnPcqoZb03GdTAg40WlimY6rjZk\\nU4EnUcsKZSUjZLxqqKS0b3R/SMaXDhQUM0YPBmRsG+nqCBmnfKPpFVdOSMadntEsx9WQbWljpvHy\\nJrrVjHfH49oZkPFMx1W/42p7Iq7XAwqzBaWKTo6Q8dJCWSljtD6blheQ8cqhkjK1jINOK987WFTc\\nGD0QkLFlpCsGqvdBPRKQccJI0w7l5ViWngjIuMMzOtlxVQjJeILrq99x9Wo8pleSjff36bWMX07E\\ntS8g4/nlasa/y6RUDCh+lxQdJY2nx7PpwC9xzs1XM/5VR0ZBV7FdNFhUwhj9JiTjywcLkpEe6Wic\\nSdxI1xzKy5X0RMB7kfVrGVuWfhfQrqeW8WvxmLYHZDy11qe8kohrb0BhNrdc0SzH1e8zqcAvGE4v\\nOppuXD2RTakSsL+fk6/2KY9m04EZv3uwqGRYv22k9w0WZIVkHDss46A+JeMbzXSq/XZQxuNq/fa+\\neExbAzKeUsuYY+MbRuPYCLyTua4rSUeMIlcqFXmep3HjxumGG27Q5ZdffsS/+fjHP66TTz5Z119/\\nvZYvX65UKqVp06bp4Ycf1tNPP61zzz1XlUpFL7/8srZv367ly5crFotp8eLFsm1bzz77rE4//XRN\\nmDBB27dv14svvqju7m7NmTOn5a//mIyBa7sppHHc2UaRvpQ68b+3On5GPOOIy2snMTIedbGIB11i\\nO3ZRM26mTxkD50rHBcdG4MTx4x//WJZladGiRUqlUtq0aZNuvfVW7du3TxdffLEmTpyoiRMnHvFv\\ncrnc8IPFuru7JUlnnnmmHn30Uf33f/+3bNvWoUOH9JWvfEWLFi3SqlWrlEgkNGvWLK1cuVI//OEP\\nlUqltHTpUq1du1bPPPOMrrnmGk2ePLnp7feNJc/Yskz4FV0jwTOmZaPfo4lCGgAAAACO0YEDB3TH\\nHXdo+/bt8jxPEyZM0NKlS/Wxj31MS5cuPWKaqzrLsoZ/6s4//3x5nqdvfetb+tCHPqR4PK4VK1bo\\nH/7hH4YvybYsS5/97Gf1jW98Q9/+9rf1b//2b5o+fbquu+46XXvttUddF0YHhTQAAAAAHKNrr71W\\nF198sRzHkTFG8XhcHR0dGj9+/PA9yG/2ta99TclkUr29vcN/l81mdcEFF2jx4sXK5/OyLEudnZ3q\\n6+s74t9OmTJFf//3f68PfehDcl1XqVRKPT09wyPbaA0KaQAAAAA4Rr29vUcUxFHU54o+nGVZyuVy\\nw/NDNxKLxTRp0iRNmjSpqXU2Vp36qpXTX40FrbkQHgAAAADwjnM8nmUxFp6fwYg0AAAAALQxv4XT\\nX/myalNgndgopHFMur3Gc2AePq9tULtSbYqVlDFKeY2/l6pPxdIRMO+mG3GdUdsdPuVI8PKitTvc\\nSCzv8CmAgtrVp2NKGqPkSGY8Au/FSGd8eIcc1M6LuLxSxIzrryNhjLoDMq6/Z0Hzxx6eXdcIZFyO\\n+ForEdv5ETP2o25fkxnHFJxx/T0LmpN6pDM+fFKekdjf/aj7+wh/zurt7IgZp41ROkKf0jkS/bai\\ntYv6WqP2AYcbic8Px8ZgUZcHYOSZWmHbquJ2LBTRkmQZYwJH1m+++WbdcMMNrdoevMM9uG6dHnzw\\nwRFbXtQZfjxJjWfnrCpbllLBu7Ok6klPIkI7z4o2FUzU1xB1GpiRni4m6vb5Cr/X452ecVTHa0qe\\nKBmXLEvpEc3YUixCuyjbJo38/j7SoryOom0p4ZvQb5Idy1IyQnauZSneRhkfj36bjI+unY6Nq1ev\\n1upVqyK0BBBVqVTSTTfdpAd336lVf3+q4umwHmVkuGVfj3z9WS3LXaQvfelLymSC57k/HqLUwIxI\\no2kP5DKBB1tL0rmFkn7VkVHGb9wu5/s6rexoXTYTeLI60fM0o+Lq0Wxa6YDlzaxUZGTp5UTwbn1K\\n2dGBWEyvxoPbLS2V9Xw6qXzIN+HnFEv6bTp1xKjE0ZxXKOnRbDr0hGFloaQHc5nQk8bzImScMUZn\\nFMtalwvOuNfzNNtx9XAuOOPpFVcxSdtCMp5fdjQQi2l3hIxfSiZ0IBZ86ruiWNIf0qkjRliP5txC\\nSY9FzHhdLhNaYK6sZRyUScoYLS2W9WBIxuM9T3NrGacClje14iop6blUInC9c52K8ralXSEZLy45\\n2pWMa38s+OC4vFjWU+lkaMbvKpT0eDZ9xEjs0VQzToeecK8slHR/RyYwk4SMlhWq+3FQ39Pt+5pf\\nroRmPMV1NcH1tSGbCsy436mobFvaEZLxqWVHe2Jx7YuHZ/x0OqniCGb8cC4tK0LGv+7IKBnwWmMy\\nOrtQ1q86soEj+p2+r4VlRw9lM4HFWZ/raZob3m/PcipyLUuvhPQpC8uO9sXiei0k42XFsp6JkPE5\\nhZJ+m02rEtiq2s9Gzfg3HBuPMNLHxtUhvwdw7IypjUq36CFg1a7txB+VppBG0xxLeiXZeNfpL1cv\\nxCvYlnYnGp/0LC46kqR9cfuIy2jfbGKhejr5ajwmL+AzN7NSUdb39VIq/GQhbUxgu5ipnixkfV9P\\nZ1MN26V9IxWrl07/KZ1o2O7wS9aC1ttXqb7WiiW9HJDxLKeacTEk40Wl6mni/rh9xOXgb9YbMePp\\nFbeacTIe2P/NLztK+8EZ27WMkyHvReqwjJ8LyLizdgmkLaPNqcbtJrrV1+pa0vaAjGfWMi5Zlnal\\nGme8oJbx63F7+FLLo1l6WMZuQHZTK65yvq/d8ZiCjmdznYoyIRlbplpIh2WcMNUiLx2ScUfEjCe4\\n1f3dl7Q9YL3TaxmXLUs7AzKeX65mfCBmayjWOJQltT7ltXjsiMto32yKW11vWMb9ETM+tewoFZJx\\nvJ6x7+vZgD4lWyuI4sZoc8B70RMx46m1PqVsSTsC2s2tZZy3Le0JKLhOP6zfLgfs7321z9meeOyI\\nS/3fbJYTod821UI6LOOYqRbS2ZCMM4dlHNRvj4vYb0+pZcyx8Q2jdWwEMHq4tLt5FNIAAAAA0KaO\\nxz3SY6GYppAGAAAAgDZWvby7Retq0XpGG4U0AAAAALQpo9r0Vy26R9o3lqI9z/+dLcrDLQEAAAAA\\nQA0j0gAAAADQpkxtNLqVI9KBT/s8QVBIAzguxsr9MQAAAGjO0c4Dd+7cqc9//vNNL+vkk0/Wxz/+\\ncY0bN+7tb1gTKKTRtHGef8S0IG/m1+aMnFzxNDlgygqv1q4+zVAjpVq7OeXgGT8dy1JGRvNLwe3q\\n00AFtTt8qqigdqWI7Zzaa4ib4O2rL6/L89UVkHE9u76KFzgtSH0JM0IyLjeRsfTGdESNlGxLtgnO\\nRNLwPKQjmXHYeuvvbYfna35Axm5teRNdb3jKrKOpHwimh2Rc377+iBnPC8vYspQM2Z8kDU/JNRIZ\\nD88xHZpx9a6hrB+8ffX5ZXtdT70BGdcf7Dm14ipo4t/68maHZFewbUl+aMZly1JmhDKO2qeUI7Yr\\n1DJOh2Ts1JbX4/rDU2YdTX1g4KSQjOufi5ND9vf6650bIeMo+/Hx7LeTIRnX3zOOjYdt2ygdGwGM\\nEmPJGFu+ac1dv8YcfTjl0KFDuuuuu7Rq1SqlUo2n2Dvca6+9pq1bt+rDH/4whTTe2Yyq83RGEaWd\\nFbFd1PW6VrR2ZcvS1EpwO0vStIqruX742OnpJSe0jRRt2/yI7aIu73hl7FiWprjhGWeMUb8TnLFR\\ndT7kKEYy46iZjHTGZduK1K5iWeoLyViqnoTOCjkpN5IWjYGMFbGdY0XPeFmEjMuWpZmV8IwXhBQ9\\ndUtH8LWOdL890uutNNFvTw/J2Ff4F311S97BGXNsBNBqrb9S8K1fkPm+L2OMPvnJT2r8+PGyrPAv\\n0R566CHdeuut8v3WP76MQhpNsSTd05kdHvk5mj7X07mFku7sygV+KGc5FZ1Wdt0b47sAACAASURB\\nVPTTrpzsgIaLyo5mVFzd1ZlTosE3WJK0rFhSxjd6oCOjWMDyzs8XVbQtPZ5NB7a7dKigHYm4/phO\\nBrZ7/2BeT2ZS2h1v/HGKyej9AwWty2V0INb4276c7+uSoaLu7sy+Mfp3FBM9TyvzJd3VlQt86uHM\\niqszimWt7c7JCngNC8qOZjuu1nYFZ7y0WFan7+uXHVklA9qtzBflWJYey4VnvCse1x8ywRlfPpjX\\n7zIp7QrI2JJ05UBeD+fS2h+LNWyXMb7WDIZn3Ot5Wp0v6WddOQWMlWp6xdXSYlk/Dcl4ftnR3FrG\\n8YDslhTLGu/7uqs7+L04t1CSL+mRkIzfPVTUvrit32dSge3eN1jQHzJJ7QjIWKpm/EgurX0BGaeN\\n0WWDBd3bmVUxIOPxnqcL8yXd3ZVTUHk01XW1rFDW2q5c4LbNdSqaX67ozq6cYgHZnV4qa4Lr686Q\\n/f2cQkm2pIdCMr4wX9QB29Zvs+EZP5VO6pVEeMaPZdN6Ld4446QxunywoN90ZDRgN+5Tun1f7xkq\\n6p6urCoBc3ZOcV2dXSiH9tv9TkULy47WduUCX+vikqNpbni/vaJQUtIYPRjSb6/OFzVo23oyJOPL\\nahm/lIwH99sDeT2eTevVgIzjMrpioKAHOzI6GJBxp+/r4qEix8Y3Gelj44WNVwXgbRp+aneL5nb2\\nZR21H5w0aZL+8R//UUuWLFE2m420rEQioVQqpe7u7pHdyAgopNG0pDE6EG98wOurnRHbMjoUcGCs\\n8yUVYuEfXNc68rLHRooRLwELanf4yUFQu3TtG/m0bzQU8Bq6vWq7pAlul6tVxUljtD8g44m1ys6W\\n0UBQxrWBGV9ScQQzdqw3LhkNEpSdHTHjVC3jTEjGnREzztT2z3RIxr21jGPG6FBAu3rGRlI+YsZR\\nLlN0RmB/tyJmnKi1C8u4o5ZxKiTjtFv/XPjam2x8mBlfyzhujA4GZXxYlR203uHmVrR+oJUZx2vt\\nsr4f+BqyfrSMe2oZJ0Ladfv19Qf3281mHLVPqYxEvx0x49hhGQe1y9T77ZDsxnnRMu48rN/m2Fg1\\nWsdGAKPDHPbTqvUdTU9Pj66//nql0+nIy5o+fbouv/xy5XLBX7aPBgppAAAAAGhjxkimVU/trq3v\\nzeLxuPr6+ob/23EcvfrqqxoYGJDv+0qn0+rt7VV3d7ditSvjUqlU5PupRxqFNAAAAAC0qVaPSIdN\\nfeW6rh555BFt3LhR27dv1+DgoDzPUyqV0qRJk3TKKado2bJlmjt3bqT7qEcLhTQAAAAA4LhzHEeP\\nP/64vvrVr2poaEg9PT3K5XJKJpMql8t6+umntXHjRm3dulXXXXed5syZc9y2lUIaAAAAANqVsapT\\nYLXoYWNBo9+Dg4P6r//6L1UqFX3605/WWWedpXHjxikWi6lcLmvbtm1au3atHn/8cY0bN06f+MQn\\nWrLNR0MhDQAAAABtqv7UbrtF90gbY+to019J1RHp9evX69Zbb9V5552nZDI5/LtUKqX58+fruuuu\\n0759+7Rp06aWbG8jrZl1GzjB+BH7kajt3ON4/8Y7VdS+OmrGHhG/VcRMot4TRcZHcZwybqs+ZYQz\\npt8+dhwbAYyEsPux66PPruvKvOmpZL7vy3Ec+b4//MCx44URaTRtYdnRwnLj35dqB8YziwGNJBVq\\n83KeUygFtqvPy3l+vhhp+y4YCm5XP3CHtStZlrK+H9rOsSxN8LzQdmXL0oxKRTMqlYZt6pmcUnZ0\\nSlDGtWlHloRknK8t7+yQjJ2IGdcv+bkgpF0zGadNtIx7ImY8reJqWqXxrMT1TOaVHc2LkPHppeCM\\n69mtCMm4Pmf1ypDs6nM4rg5p51nVqZdCM7EtJY0JbVexpHERMz6p4uqkCBnPcSqa4zTe3+vT5yyO\\nmPGyYnDGpdp6zwvNLlrGvlWdpi3K/hlXtIy7IvQpZcvSZNfV5KGg2bWrn5/ZTkWzAzKu9ymnlpzQ\\ndUrSWSEZF2vLe1fI/l7vA1aF9SmWpAgZVyxLdsSMOyL225NcV5NCMi5blk52Kjo5QsYcG480GsdG\\nAKPD1OaQbtU80tXzyaOvK5VK6bzzztO///u/a9y4cZo9e7aSyaQsy5Lv+zp06JDuvPNObd68WWvW\\nrGnJ9jZCIY2mVPTGHJyNZGRUsazwdr6nUpR2MnIjrPeN5UZpZyl+tOfuHyZtjIZkK+MHT2CZNEa2\\nqc77GiRljIyqJyCNZHxPTqTsmsjYjpZxxYqSnZFRtIw9y1IspN1oZKyQ7Wsm40jtZORGbOdEzNhX\\ntIx9y1IipF3CSJWYNTwfd1C7mKlmHSRqxlL1S4Fc4P4+whn7XvSMI7WTTIT1xiVVZIXun81kbOmN\\nuXgbSRsTIeOI+3sT/XaU5WmE+21b1f0pESHjsEyk6nsQJeMR7bc5Nh5V1IwBjB1BvUJ3d7e++MUv\\n6i/+4i900UUX6eSTT1ZfX5+SyaQGBga0detWxWIx/c3f/I3+/M//vGXbfDQU0mhKQtL6bFoH4o2/\\nHe4vuzq3UNK6jszwyNTRLC46Oq3s6M6unNyAL8BWFMqaUXG1tisb+MG7YKiojG90b1c28DWsGSio\\nYkm/7GzcLmakqwbyKtiWHuho3C7tG109kNdr8ZieziQbtuv2fL1/oKBXEnG9mGr8seureLpkqKgn\\nshntD8h4luNqZb6khzoyGgrIeFGpojOKZd09Ljs84nQ0ywplzXZc/bQ7OONVQyV1+r7uCcn40oGC\\nXEm/CGhnG+nqgbxKlqUHAtqlfKOrBvLaF4/pqYCMOz2jKwfy2pGIa3Mq0bDdRNfTmsGinsxmtC8g\\n45mOq9X5kh7OZTQYa9xuQamipcWyft0ZnPHSQllzHVdru7MKOv1cOVTS+FrGQe/FeweL8iX9PCA7\\ny0hXDBRUsiz9uivTsF3CSFcfymt/PKaNARl31DLelYjrTwEZT3B9XTZY0EvJuF5JNt7fpzuuLsyX\\n9Gguo0MBGc8vV7SsUNYDHdnhUeyjWVJ0NL9c0Z3dWQWddp+bL2mC6+vukP39osGibAXvx5aRLh8s\\nyLEs/bqzccZxI11zKK8DMVu/yzae7zLrG111KK/d8bieSzfOuMf1dflgQduScW0PyHhqxdN7hop6\\nLJfRwYCM55YrOrtQ1oMdWRUCMj696Ghh2dHarlzgZejn5Mua5ob32+8eLCppjO4L6lOM9L5axr8K\\nyDhWy7hgW1oX0G9nahm/Go/r2YCMx3m+rhgoaHsyrq0BGU+peLp4qKj12QzHxprRODZeE7j1AN4O\\nI8k3lrxWzSNtqj9HE4vFNHv2bP3mN7/RunXrtHHjRu3evVuVSkVdXV364Ac/qHPOOUfz588/bvNH\\n11FIo2lhoyl18Yg3rMWNiXSflG3a5x7Nkc7YNop0n2HkjCMu750sbJSkLhEx41gTGUe6f3AMZBxV\\nUxlH0E77cVRhI7l1UTOOGzN8iXwQy0R/HsKJjmMjgBNZy+aQlhR28LVtW52dnXrPe96jlStXynWr\\nt+FYlqVkMqlUKqVEovEXoa1CIQ0AAAAAbcoYS8bY8k1rnkfgGz/SVFvpdFrpdLoFW3RsKKQBAAAA\\noI29k0akS6WSfvCDH2j9+vVKJpNauXKl3v3ud2vixInDv7/jjju0a9cufeYzn2nFBh8Vj0EEAAAA\\ngDZWHZVuzY+vxoV7sVjUHXfcoe985zsyxshxHN1yyy36+te/ri1btkiSXNfVSy+9pGeeeaZl+RwN\\nI9IAAAAA0KaMwud2HlmNp78qFAq6/fbbtWLFCn3gAx9QLBbT7373Oz3wwAO69dZbdd1112natGkt\\n29IgFNIAAAAA0LaqhW2U+5ZHQlDB7jiOnnrqKd14440666yzlEgktGDBAnV3d+u+++7T7bffrssu\\nu6wl2xmGQhrHJOgpu+XDpk5p1O7Nfx2lna3a06dD2gVt2+FPSw5qF3V5xgp/rZJUidjOjdiuHKGd\\nkY6YxmZEM37zXxwmasaHTwE1EhlHzS5qOydiu2KTGVsR28Xf/BeHGemMDxfUzou6f0bIRIqecWmU\\n+pQTOWMnYsZR+57Ryjimxk8CH/G+ImI7f4T77ajtODa+1bEcGwGMjlaOSIcV7L7vK5lMyqp99js7\\nO3XllVdKku6991797//+r1599dXj/uRuy5jg+Rpuvvlm3XDDDa3aHrzDPbhunX65bl1ou6QxR5wk\\nH03BttTl+3JDPkxly1LWmMB5YSWpYkU7kXUsKRmhnS0FzvdbF5ORF+EbvIQxR5w0NJIyJnA+4roo\\nGUtSLMI0NSXLUi5SxlakaXSiZmwpWqcdNeOo08VEzThquyjrLVqWOiJk7FhWpGl0ypYVaQovT9Vi\\nJkys1jZM1IxHen+PlLFtqcMPzzhqdiXLUjpCO9eKNqVR1D7leGUcZXnVjP3Qz+NI99tR273TM+bY\\n+FZRM7541SqtXrUqwpoBRFUqlXTTTTfpZ6/8XGf83XLFUlHOGN4+r+zp6W/9Thd2r9SXvvQlZTKZ\\n4d/t3btXV199ta6//nr99V//9RG/y+fzWrt2re644w5t3LhR559/vr73ve+NyjZGqYEZkUbTnk4n\\nQ09CTy05eiqTVKbRbOs1Mx1Xm9IJ5QLaJYzRJNfTzkTw7trteYoZ6fV4cCcwueJqdyIWetLT71S0\\nLZkIPUlZUHb0XCoRWqycWnIiZbe45OiZdDK0mIqa8YKSoz9kksoGtIsZoykVTzuSwRl3er5Sxmhf\\nSMZ9FVevxmNHjNYeTb9T0bZEInQO1PllR39KJUJPyRY1kfHGTEo5P/h0cHHJ0R/TydBiamGEjC1j\\nNK3i6ZWQjHOer6wx2huS8UTX02t2eMbTHVd7ErHQE9V55UqkjBeWHD2bToZ+oVLNOBn42a63i/Ke\\nLYy4v0933NCMM76vTt/otZCMe11P++2Y8iEZT6u4eiVixptTidAvj5rJOEomUTNeFHF5MxxXL4dk\\nnPKNJnjh/fZ4t9rDHgh5L06quNoVod+eW65oS4SMF5QcPZdOKjZC/WzUjCP32+Xwz0+7HRsvDlkO\\ngLfHmOoDx1qyroB7pNPptNasWaMdO3bI847saXK53PDIdKlU0owZM0Z7UwNRSKNp+2K2Xk00PjT2\\nl6uTpu+Kx3Qo1vjB8IuLjrLG1/ZE/IjLCt9sRaGstDH6Qzp5xOVnb3bBUFFJY/T7TDJw+9dUXKV9\\nX+s7Mg3bxEz1ZME2RhuyqYbt0r7RgrIjX9JTAevt9nydWnJUsiw9m258GUpfxdNiSftjtnYHZDzL\\nqWa8Ox7TwYCMF5UqkqTtiXhgwbWsUFYmQsarhkrVjNPJwJkLLq1l/GiuccZ2LeN4SMYp32h+hIw7\\nPaNFJUeOJT2bbtxuoutpcUkasi39KdW43cxaxnviMb0eb5zxglrGLyfiR1xK/2ZLaxk/lU4GfnGw\\ncqiklDHamE4q6Hj23sGisiEZW6ZaWMaN0RMBGSdMtciTFPj56fCMFtYyfjog4wmur8UlRwXL0p8y\\njff36bWMX43HtC8g4/m1bXslHtdQrHEoS4qOMsboj+mk3IDszs2XlPLDM76olvHDIRlPq7hK+kZP\\ndDTOOF7P2Bj9PuC9yPrVjF1JTwe8Fz2HZfxcQMZTa33Ka3E78MuZubWMd8TjGgzI+PSio4zx9XQ6\\nEfjFwTn5ar8dlvG7ByP026ZaSCd9o/UBGcdM9XWE9dsZ32hBLeOgPmXcYf12UMZTahmP5LFREsfG\\nw/RVolwvA+DYNS5sR4VpfEViNpvVhz70Ib3yyitKpd7az+RyOf3Zn/2ZzjjjDLmuO7rbGYJCGicM\\n7pAafWQ8+sh49JHx6LONIgUd9fYNHDv2dwBvlzGSbyxZpjUzI/tqfBCJxWKaMmWKpkyZcsTfVyoV\\nOU71i8ZkMqlFixaN9maGopAGAAAAABx3xhjl83nlcjlZliVjjAqFgl544YXheaTnz5+vOXPmKJPJ\\nDD+Q7HhozdcOAAAAAAAEOHDggD7xiU/o4MGDw0X0jTfeqEsuuUTXX3+9/vIv/1Jr1qzRV77yFRWL\\nxeO6rRTSAAAAANCmjCz5ppU/1cvJj6ZYLOquu+5SoVCQMUbf/e53tWHDBv3TP/2Tnn/+eT399NP6\\nq7/6Kz3++OO69957WxvUm1BIAwAAAABaJGR6v3JZ9RmaH3nkEV1yySVas2aNZs6cqTlz5ujaa69V\\nf3+/nnrqqVZsbEMU0gAAAADQpowkX1bLfozCH0RZv/d5z5496u/v18SJExWLxRSPxzVjxgx1d3dr\\n7969ox1NIB42hqZZkiYHTEVRnxIl4xtl/MbtCnb1e5xxnq+gCSlLteVNdIOnvyjYtjK+F7htzmEP\\nJIjyGsLaHT41SVA7N+LyDhdleWnfaHJgxtV23Z6v7oDVliNnbKnTlyYHtDteGUdd3uFT8QS182rL\\nSxoTafu6PF9dETKeEJJx0bY03pf6RiDjkX4voi7Pb7JdPCzjWrsO31dHwNTf9e3rjZCxFJ5x3rbV\\n6fstzbgccX/3ou7vtT9jJtp7m/N95SJkPD6s3669jkkh70XetpX0WttvR8242X6bY+Nh2zaKx0YA\\nJ76geaQlyfM83Xbbberu7tb+/ftVLpfl+/4Rv/d9X7Z9fMeEKaTRtPcORbuxP0o7P2I7L2I7xwpv\\nV7EsTfR8zagEt/Ms6ZRyRafU5ldtxJd0ZskJ3TZJOq9QitTu4ndwxpUIGTuWpaTxNS2knWtJ85yK\\n5jnhGZ8RIWMj6V2Fcmg7SXrPCGZsIrYb+YyNTgrN2NI4x9UcJ3iuRV/SaSVHp4Vsm5F0dsSML8xH\\n299HMuOo+7sbsZ1jWaHtXMvSeM/V7Epwxp6kU8sVnRrSpxhJy4vRMl49JjKO1m/3eq5OjpDxwnJF\\nCyNkfFbEjM8fwYyjtuPYCKDVjCwZ07i4HdF1BcwjHY/H1d/fr0ceeUTxeFy5XE6HDh1SsVjU+PHj\\nJUk7d+7UwYMH1dvb25LtbYRCGk37RUcm8Pc53+jcQkn3dmYVb/QkAVW/RT+t7OhnnVml/cbtZlZc\\nzai4+k0uo0TA8haUHWV8o8ezaSUD2p1ZLGt/PK7tieDdf2WhpBdSCb0ajwW2e3e+qMcyaeXt4M7n\\n4qGiHsxl5IT0Ue8dKuqXHZnAS14yxmhlPjzjXs/XGcWy7u7KKhWQ8fSKq9mOq/s6gjOeX66o0/f1\\nWEjGS4plHYjFtS0ZnvGmVEK7QzK+IF/UH9IpHYgFf/N40VBR63Lp4dHfRt47VNSvOjIKGHhTyhit\\nrmUcC3it4z1fS4tl3ROS8dSKq7kRMp5brmi87+uRkIxPLzkatG09n0oEtltRKOuVVFy74sHvxep8\\nSU+nk9ofkvF7hop6OGLG93dkggbUlDBGF+ZLuq8zKzvgNXT7vpYVyrq3Mxv4Wqe4nuaXK/pVSMb9\\nTkUTXF8P54IzXlxyZEvakEkFtlteLGtXPK4dIX3K6nxJf0gltC9kf3/PUFGP5tIqRsj41x0ZBZWW\\nsdryft6ZkRXQqXT6vs4ulHVPZzYwuz7X08Kyo/tC+u1Zjqtprqufh/Tbi0qOksboiZD9/axiWa/G\\n43olJONV+ZL+mErotbB+e6ioxyJkfPFQUQ90ZBRUMlq1dhwbjzTSx8ZVwb8G8DYYYwUWtyO+voDR\\n6K6uLn3xi1884u9mzJihzs7O4f/u7OzU+eefr0mTJo3aNkZBIY2mGUmvJhofQPvL1dO6iqXAE8b6\\n5Wgly9LBROOT95m1EYiDMVtewIF2QW1w4fV4yGUeRSnr+9oT8BpitZ4kbUxgu/pJTtb39WIq2bBd\\nt1ct2RLG6OWA4rLvsEvbgtY7qza66IZk3Ftbb8mydCAg4+kRM55fG4F4PWYHPyeiWL1ENOg12PWM\\n/eCM68VpMuS96PTeaLc9IOP6fmcpOOOZtYw9SXsD2o2vZVwOyXhqLeNDMVtuQHZzaxkfiNkK+mL4\\n9FI146D9vV44ZUIyTtTahWXcUcs4HZLxBLeaiW2Mdga0m17L2Jf0WsB6u8vV5TmWFfh6p9Te24GY\\nrUpAdv1OtIwX1wbJRiLjeK1dKiTjbG1/T/tGW9ONs+upZRwzRjsCMp5a61N8Be/HnYdlvD/g9dYv\\nhy+G9Nv1PupAzJYfkPGiCBnXz+yyIRnHImacGe63gzMeV/tsx43RKwEZT6llzLHxDaN5bAQwOoys\\nwAJ3RNcV8NTuTCajq666KvDfT5s2TRMnTlQqlRqFrYuOQhoAAAAA2pRRcHE78usLL9hLpZJef/11\\ndXd3K5PJyHVdvfLKKzpw4IDGjx+vKVOmKJMJvhJotFFIAwAAAEAbM7WnabdkXaZxMe37vvbt26f7\\n7rtPL730kqZOnaoLL7xQL730kh5++GHt2rVLEydO1OrVq7Vy5UrlcrkWbfVbUUgDAAAAQJuqPmhM\\nrXvYWMCIdKlU0r333qsvfelLmjx5soaGhvTaa69p48aNkqRx48Zpw4YN2rVrl3p6erR8+fKWbPPR\\nMI80AAAAALQrIwU//GY01nd0+Xxe3/nOd3TllVfq9ttv1+c+9zn97Gc/Uzab1U033aTvfOc7+tzn\\nPqdEIqF169a1bpuPgkIaAAAAANqUkeQbyTdWa35qI+BHU6lUtGXLFl133XXq6enRZZddpmQyqWXL\\nlmnGjBmSpFNPPVUzZszQjh07WhfSUXBpN3AUrbpHpJ1FzTjoib8YGezvo4+MRx8Zjz4yBtAKnucp\\nkUjIsizFYjGNGzdOvb29w0/pTqVSsm1bhULhuG4nhTSaNtX1NNVtPBVFfX7ZfidodlMNzy+7sBw0\\nQ6fk15Z3eskJbFeybWV8T2cWg9s5teWFtStFaFefHzMR0q5Ya9ft+4Ht6tlNcb3hqXyCljc7LOPa\\n8haMUMaObUm+dGZYuxHMWJKKtq1YSLt6Jp2+iZRxn+sNT+UTtLyTK65ODoivUlveKSEZq9butIgZ\\nLwlpV7BtpUP2J0kq21EztmSFtKtnkouY8UTP18QIn58ZFVczImQ8zwnOuH6SvzgkO7e2vCgZd0TJ\\nOPJ+HN6uUGuTMcEZ1z87vZ6v3sCMqxeeTa94mh4whVD9NcyNmPGikP29nvEZEfrtpDdy/XYzGadC\\nMq4va7zna3xAu/q2cWx8Q962VLDtET82Ahg9RtWR4tasq/EXc7FYTFOmTNHLL7+s2bNnKxaL6bOf\\n/axmzJgx/JTuoaEhVSoVdXR0tGR7G6GQRtPmhRUMqn44orSTidbOkonUzrGiLa9iSX21eVgbiUmK\\nVzylQuYCsCRNq7jD878GiZRJxHaRM47YzjbRMq40kfHEcoSMTXjGMRlNr7jD878GGclM/BFeXtSM\\n3YgZlyxLvRHaZXxLKRM8D2tMGhMZxyJm7EVcXtmyIrXLWVZgESVVM55W8ZSJML/ISGYStV3UPsU+\\nbv22FfgFo1TN2K54Sp/gGY+FY2NcZsSPjQDGvkwmo8svv1yvv/66fL/aHy1fvlyxWEx27cvhLVu2\\naP/+/Zo7d+7x3FQKaTTvVx0ZDcQa314/w3F1bqGku7qywyNJR3NKydFpZUc/7c4p6LB9ZrGsGRVX\\nP+3KBX5Pdl6+qIxvdGd3VnbAcfuiwYKKtqWHc5nA5V05kNeuREy/y6QatosZo6sH8tqaiOu5dLJh\\nu6zv6/0DBT2SS+vVeKzhOntcT5cMFXV/R0aHAjKeVnG1Ml/Sz7qyw6MIRzOvXNEZxXJoxmcUy5rt\\nuPpJd3DG78qX1On7WtuVDXzAwnsGC3IsSw92ZgLfiysH8toTj2lDtnHGtjG6aiCvbYm4ng3IOO0b\\nXTmQ16O5lPbEG3dt4zxPawaL+k1HRgcCMj6p4mp1vqS7u7KBoyFzyhUtjZDxacWy5tYyDnJ2vqTx\\nvq+fhmR84VBRvqSfdQbv72sGCtoXt/VENh343l59KK+XE3E9HZBxqpbx+lxKuwIy7vZ8XTZY0AO5\\ntF4P2N8nV1xdmC/pnq7s8CjX0cx2KlpWKOvOrpzcgBdxasnR/HIlNOPlhZImuL7uDsl49VBRtqS7\\nQjK+dLCgA7at9bnwjHckYnoqoE9JGKOrDuX1eDalnYnGGXd6vi4fLGhdLq19ARlPcj29Z6ioX3Rm\\nNGQ3frUnOxWdHSHjhSVHC8uO7ujOBV7me1ahrGmuqzu6coEZnz9UVNKE99vvHSxo0Lb1aEjGVx3K\\na2cipo0BGcdrGT+RTemVRLxhu5zv64qBgh7KpbU3IOMJrqeLh4ocGw8zGsfGiwO2CcDbU71H2pJa\\n9NRu31gNn9zd0dGhT33qU0okEsOXcicSiSPanHnmmZo9e7ay2eyob2sQCmk0LW6MKhE+Zwljhi+h\\nC2IZo0qEdkYKPMGr8yR5EdoFLStmRrZdXcqPnl3UdvkI2dnGDF/iG2SkMw5qZ0fMLhWxXbr+5whn\\nnPSNhuLhDWMjnLGvt5+xFTG7RNT3ovZn1IyTETNO+UaDETMuRshYUqT1tjLjeJPvRWaEM47ab8cj\\nZmwZU70NIYRRtPcisE8Z4f64/l5kfROt3x7hjDk2vlXUYyOAsc+2bfX29ga26ezsVEdHh6zjfNsH\\nhTQAAAAA4IRgWdZxL6IlCmkAAAAAaF/Gki/JauGl3WNhGgAKaQAAAABoU0aSjNXS2nYM1NEU0gAA\\nAADQzoKmpBrxdRlJLZpqazRRSAMAAABAmzKSjLFkWnRpt1FrR79HC4U0cBR+xH7Ejfigg6jtgqay\\nGmui9tVRs4vyNFpJgdPOjDkRX2rU/Z2Mj+I4ZRz1cxE0ddsJY4QzHun+vZ36bY6NwFhlHYcR6Wge\\nfPBBeZ6nM844Y/hp3tu2bdPmzZs1ceJEnXHGGaO0leEopNG0pcWyVGz8+0JtrtJz86XA5dRP8C4c\\nCliYpGJtee8dLAS2qx+Q1wwEt5OqU8uEtXMl9bpeaLuSZWl6xdX0ihvYrmJJ88uO5pedwHaOJS0p\\nlrUkQsbvCsm4VJs65YKQjPMRM64XSGtC2knVKWOiZDzeC8/YsSxNrbia5kGFngAAIABJREFUGiHj\\nueWK5pYrIcuTTi+WdXpALPVMzi5Ey3h1SMb1E8GLQ7Krfy4uDWlnLEuxCBn7VnVe5/CMpSkVV1NC\\nMnYtqb9cUX+EjBeXHC0uNd7f6xkvD8m4Ph3T+floGV8UlrEdLWPfsmRHyVhSpx8t474IfYprSbOc\\nimY54RkvKjlaFJBxvd2yQjmwTT3jlSEZ1/fPd0fsty8JydizLFkK77eNqvM6h7WrWNLEKP22bWmm\\nU9HMkIwrlrSg5GhBhIw5Nh5ppI+Nwe8UgLfDmOMwIh2xmP7mN7+pcrmsm266abiQ/u1vf6tbbrlF\\nK1asoJDGiWV/PKas7zf8vSWjsmVFmovUidTOqBRxeZIVOhdlxo82T2rOM9obs5UI+aSPd33tSMQD\\nM5GkCZ50MGYrFbK8iV7rM7ZVncMzyvJsWXJCmqX96pzKYX1kzjPaF7MVD8mk2/W18/9n702j5KjO\\n+//vraW7q3sWjaTRMqORNNpGG2izFoRAEmABstkkg/0ncQh27BgfL0m8HCeH2D5x/CImPjk5kM0O\\nAS8/vMWOwYAFGNACCInNgNgEEqDRMtql6e7qWu/9v+ju0QxM3XtH9MwI9HzO4chGD7dufar6uXWr\\nbtVjW3AUjkcNwPExy5S2ZwzgvNM7j6HtOACDrwhLCSAyyl/ZlNEQC5y0DJgKJw2RwAHbREbheGQM\\nnDQNpLQcG3B4cpxROUOOWCZyiu3W2rFvqB1bFcexoq16LpA3jJ79SaIhEuiy1OfnQBwftwxkJI6r\\ncTqOdXNKWMO8bYjyDQtVreEcFygahnIxYH0kcNBSu2sKOTrTltLJ6AE4prGxL7UeG21lzwiCeC8M\\n6VLrAbwjffXVVyOKIowbN67n382aNQvXXXcd2traBqd/mtBEmhgwb9kWDtpm4t9P9SO0hR62Z9M9\\nT5z645xSgJYoxuO5jHTZ1lLXx+g4wr11WemPfHWhBEsIPFiflfa/ehf90TonMcYUwLruIkLG8Fgu\\nkxiX4QLru4twGcM2SXuNMUdb6OKgZWFXOvlnNzaMMTEsYY9t4YDEcXtQdvxUNo2CxPEcL0RL6OOJ\\nXEa6xHOx62NMxLEp50iX7q0seLAFxwMKx5d3u2ACeKQ+2YkhgPXdRURg2FKX7DjNBdZ1F1FiDE9K\\nHNfHAhPCIg5bJl5PJ19yNUdlx522hX0Sx5OCCBNDD087aeTNZMezvBCtGo4XuT7GRhybc450+e4F\\nBQ/1Fcey8/3SfAmGAB6WOGYCuLLbRQxgs8SdLYD1J4vwGMNWSVxdLNAaFnHEMvGaxPHoiGNi6GKf\\nZaEzlXy+twURJoYxdqdsHLGSHXf4ZcdPZjPSC/0FpQBjI44tOUc6MTu/6KEh5nigUe74w/kSTAH8\\nQeH4irwLDmCTxJ0lgI+dLMJnDE9IckqWC6w7WcQx08QrmWTHIyuO91sW3pY4bq3klDdTFg5byef7\\ndD/EhNDHtmwGrsTxvFKAcVGMx3IZ6RL+84o+Rgt13r44X87bD8lyigA+mnchAGxU5O2PnSwiYAyP\\nSxw7FcdFw8D2bDoxbkQlb3dZFt6UOB5fcUxj4ykGY2wkCGKQGeIn0lpxQuC6665717+fM2cOZs+e\\nDTGQNeKDQHImJ4j3iKV5bhs1jjubqLVj7fR5Fh0LW3NfTXI86JDjwUfXsXZOIcfvgsZGgiDORM7E\\nVHL8+HGEYfiuCTPnHMePH8fhw4eHqWdlaCJNEARBEARBEARxllL+ijYDH8J/dCbu69atw4MPPgjX\\n7ftNhtdeew3f+ta38N3vfndwhGhCE2mCIAiCIAiCIAjijGLx4sX4m7/5G3znO9/Bm2++Cd/38Ytf\\n/AJf/OIXsWvXLqxZs2ZY+0fvSBMEQRAEQRAEQZylCAFwwfRrk75HuOb72F/72tewcOFC/M///A++\\n/OUvAwBOnDiB8847Dx//+MfR0dEx2F2VQk+kCYIgCIIgCIIgiDOKMWPG4PLLL8fixYvxyiuvYOPG\\njZg0aRKuueYazJ07F7lcblj7R0+kCYIgCIIgCIIgzlrK7ywP2Ve7Nbdz6NAh3H777Xjqqadw6aWX\\nIgxD7NmzBz//+c/BGMPixYthSKogDDY0kSZOi7o4+RMBvct1yOK8SokVSyTH9S4TJKtH2ztOtk3d\\nuFBzH7hme70/81+L7erGeZU4U+HYrSQhbcc1OBa6+6DbXm9kcVGNHVdLXhkSx8Apx7J6tL33NTek\\njvXielMLx16vwU/HsSquWhorzQWSihoNl2NdJ0I7lw3s/FTF6ebtqmNbALZG3s7WwLFu33SPha5j\\nrpm3dftHY+O7OZ2xkSCIQWKIJtE9m9OI+Yd/+Afs2bMHl112GS655BLYto3t27dj48aNuO2223DN\\nNddg3bp1g97XJJhQFOC64447cOONNw5Vf4gznI2bNuGRjRuVcQYArtGegLpUTclgyHKh/MEFjCGl\\nUU8uYgyWRpxgeqVbGPSSga6TWsfpwqF+18NnDOlhcKxLrY+FCaCW1Ut1znddxyFjsDXidH8XutTa\\nsW57uug49gwmvaFRRduxwZDSaE+X4XKsG6fr2BmOvK3RN2D4HNPY+G50naxetQqrV67UiCQIQhfP\\n83DzzTfj/+3aiImfXgkzZQ/JdnkQofPHj+GaMR/CLbfcAsfpv978l770JSxbtgwXX3wxmpubYRgG\\nTp48iaeffhobNmxAS0sL/vqv/3pQ+qgzB6Yn0sSA2ZLLKC9Cl5Z8PJ7NSAfvlBA41w+wJStvbwTn\\nmBhG2OakpXfeW6IIALDfkp/WU4MQJ00TR0xTGneuH2Bn2u55qpvEhzwfz2XSygnX0pKPbdkMDMWF\\nyrKSj8dyGaRr4NgCML/SnsxxA+eYEkR4LCt3PC6KYUFgr8LxlCBE3jBx2FI7fj1to6RwvNDz8UIm\\njUgaBSwp+dieTSsv8paVfDyeyygnP8tKPjblHGR58mWeAWCRxjGr4xzTgwhPKByPiWKkIdCpcDw5\\njOAyhkMKxzP9EK+nbbgKxwu8ADsyKYTSKGBxycdT2bTyCnlZyccT2YxyIrqs5OPRnANH4ri63cey\\nGelNhqwQ6PBDbM2mpef76DhGlgvsseWOJ4YRAsbQpXDcEYR4O2XhhCm/FbXAC/BS2u7zZLI/Fpd8\\nPO2klZOQZSUfW7MZ5eSn7DgjPe+A8u9HlVMyQmC2H+AJRd4eGXM0xTF2KS7KJoQROFPn7elBiKOm\\nhWMKx/O9AK+k7T5P4vvjQyUfzzpp5QRuacnHk9kMTA3HG2ls7EOtx8aLFO0QBPEeEACEXkmqmm1O\\nI+6zn/0spk2bhkwm0/PvGhsbsWrVKrS2tqJQKAxaH3WgiTQxYDzG8HYm+dSZ6pcH7WOWgZOSi55z\\nSgEA4KBl9ixl64+lrg8A2GdbfZafvZOWQgSHC7yWkV+4TQ1CpIQ8zhTli4WMEHjeSSXGZbjAhzwf\\nphB4WRLXGHOgVL7r/rpku2PD8iWHzxjekjhuD8qOj1uG9OJ9jleeFh2yzJ4lmf2xWNPxuEJcdpy2\\npY9LpgQh0grHRsWxwwX+mEt2l+YCCz0flhB4SeK4PhZAyYcAsFOy3eao7DhgDG9KHE+qOC4aDJ2S\\nycCsXo5dieNFFcf7bQuRxN2YQnmStzNtS1dZTQ4jZBSOmShPpLOc47lcJjHOFuVJni0Edkgc18UC\\ni0vl/ZBtd3RUnp6EDNidTo5rqzh2DYY9EscdftnxEctEwUyWsqCSU/bbFkKJu9FFPccTNR13aOQU\\nq+I4JQRelDjO8rJjBuBVSXsjK44jBuySOG6t5JSSwbAnlXy+T+/lOC9xPK/iuMsy4UvO9/OKPnJC\\n7XhCGCGjytuiPJHWydvzvQBpIfCCxLHDBT5U8mEAeEXS3ohK3o4Z8IbE8fiKYxobTzFYYyNBEGcX\\nc+fOBQDk83kUCgWEYYjqYmrHcdDc3Dyc3aOJNEEQBEEQg0Otl+4TBEEQg8NQ5mrdN85c18Vzzz2H\\nl156CV1dXfA8D7yygo0xhoULF+Laa68dxJ7KoYk0QRAEQRAEQRDEWYpAuYb0UH21W+9rFsD27dvx\\nz//8zzhx4gR27tyJESNGYMSIEThy5Ag450ilUjSRJgiCIAiCIAiCIIaHM/GJ9G233YYxY8bgH//x\\nH/Htb38bF154IT784Q/jD3/4Aw4cOIC1a9cObkcV0ESaIAiCIAiCIAjiNPE8D8ViEUEQgHMOwzCQ\\nyWSQy+WQSqXAOUc+n0epVEIcl9/5t20bdXV1yGQyfWoh+76PfD4P3/fBGEMmk0FjYyPMXh8C5Jyj\\nUCjAdV3EcQzbtpHL5ZDNZsFOp1ycKNd25kNVR7ryBFzFyy+/jO9973uYMWMGMpkMGGNobW3FunXr\\ncOedd+Kee+7B0qVLh6DH/TN8FawJgiAIgiAIgiDe52zevBlf+tKXsGLFCixYsAAXXnghvvrVr+Lp\\np5+GEAInTpzA9773PaxZswbz58/HokWLsH79evzqV7/C0aNHe9oJggBbtmzBpz/9aSxatAjnnXce\\nvvKVr2DPnj19tnf8+HH8y7/8Cz784Q9jwYIFuOaaa/Dzn/8c+Xx+qHf9tNEqtyhEz42GhoYGFItF\\n5PN5ZLNZcM5x+PDhQe+nDHoiTRAEQRAEQRAEcZo0NTXh4x//OG666SY0Njbi9ddfx1133YVvfvOb\\n+OEPf4jRo0djzpw5WLFiBSZOnIgwDPHzn/8c//RP/wTLsrB+/XpkMhls2rQJt956KyzLwk9+8hPk\\n83nceuut+Iu/+As8+OCDPU+lv/vd7+Lxxx/Hpz/9aSxYsAD33HMPfvzjHyMIAtx0000D7n+1HJXu\\nkuv3iu52pk+fjs7OTriui2nTpmHr1q1obGyEYRh4+umnMW/evMHtqAKaSBMDJscFpviqir7AqIhj\\nVJRcpbNaS7VFUdbCrSx3qZYjSsJjDA7UfXMNA0wR17vkiCyud61SWVxJs72w0p6jcFxdDTMy4j1l\\ncPojqrQ3vkaOfcZQD2CKIs41DFhiaB27vZZFyeKCynbTmo5HxLxcBieBquNxCsdepX8TNRwDp0qc\\nJVEymHIftB0P8PzUbc8W8rhqyZ6GmKNB4phXPkoyJooxRqKlWte2TeEuGIBjVb7zDIZi5djWwnGg\\n6bh6bE2l43JcfSxQHyfHVR03RzGaJVqq/WtVnO/VuMmqvG0wpGK9vA3oOVHF6Tqu5m2mcFzNATQ2\\nnmKwxkaCOFOZP38+zjnnHBiGAcMwMH36dJRKJdx222145ZVXcPnll+Oaa66BYRg9k+G/+qu/wuOP\\nP47du3fj+PHjGDlyJJ555hkEQYAvfOELuPDCCxEEAXK5HP7kT/4EW7ZswYoVK7B3715s2rQJ1113\\nHT72sY9hzJgxGDNmDAqFAp544gmsW7cOY8eOHWYjteGzn/0sgiCAEAIf+9jHsHv3bnz/+99HEAS4\\n6KKLsH79+mHtH02kiQGzwvWUMUwzTmjGxZpxIdOL8xlDWyiPi1m5fm0HQmmcQLk+rA7n19BJrR1z\\nzbhoAI5bFXExK9eHnR6oHc/TdHxepbaqqj2dfYBm3HA5DhjDeEVcxBgagwhTFRfbHMA5Go4FTtWv\\nVcWdyY71cwrTivMYQ3uodjzHDwGNnFKt162Kq6Vj3bjhzNuTNBzP0nS8SMMxUFt3NDb2j87YSBBn\\nMrZtw7bLtdCFENi3bx9eeeUVpFIptLe3gzEGx3F64qMowpNPPgnXddHS0oKGhgZ0dXVhz549GD16\\nNBYuXIh0Oo1UKoUZM2agpaUF27Ztw7Jly7Bjxw4EQYB58+Zh/PjxME0T06ZNw9SpU7Fp0ybs2rXr\\ntCbSAqznpupgI8C0lnavXr0acRwjl8uhsbER3/zmN/GZz3wGAHpuIAwnNJEmBsx99VlEkt/Z6Ijj\\nfNfD3Q1ZaTsTgwjn+gHubsjBlKzxmOmHmBhGuLc+i5QkbmHJh8MFNtU5sCRx5xc9lAyG7dmMNG5N\\noYRXMzb22PKfyUfzLrY7aRyyTGncVd0uHqpz4BrJ8jJc4LJCCffVZxFKHI+MOS4oerinIStNRBPC\\nGPNLPu5ulDue4YeYEkS4p0HueH4pQD3neFTheHnRQ8AYnsypHe9M23grJXe8Nu/iWSeNLoXjK7td\\nbM5lcMJM/vxDSgiszZdwf30WgcTxiJhjVdHD7xqySH52VH5qtKjk47eNORiSfZ3mh5hecWxL4s4t\\nBWjiHI/UOdJjtsz1wQE8oXC8quDhiG3ij05aGnd5voTnnRT2Kxxf0e3isVwGxySObQF8JO/i9/VO\\nnydT76Qh5rio6OHehixkz97GRTEWuz7ubshJh94pQYQOP1Q6nusFGB1xPFwvd7zE9WEAeEzheGXR\\nw3HDwLNZteMXMjb2KXLKFd0unshmcMRKdmwK4Iq8iw31Ts+T+P6o4wKXFEpKx2OiGMs0HE8OIsz2\\nA9zTkJPu62wvxIRInbc/5PpICYHNipxyQdFD3jDwtMLxZfkSdmRs7FXl7W4X27IZHJY4ZijnlAfr\\nHZQkjrNcYE0lb9PYeIqBjI0bcw5OmvKxcZW0FYIYfg4fPowf//jHeOCBB1AqlTBmzBjcdNNNaG9v\\nB1CePG/fvh233HILTpw4Ac/zcNVVV2HlypVwHAfd3d0oFAqor69HU1MTgHKt5HQ6jebmZuzduxec\\nc3R1dcFxHNTV1fU83bZtG42NjQDQ553rdxKGIaIogqj8xkulEsIw7FnaPVRrP3RXkOdyuT7/v6Wl\\nBWPHjgVjrM8H2oYLmkgTA8YSAkclA+PoXkvWTkoutqtEAAoacQFjfZaBJVE0GHRSgSzOrPzCs1xI\\n9yHDRc+fsrjGyrLVLBc4YCe7y/DKlxyFwBGJ45GxnuMJlaWBMWrsmDHgPR4LQ9NxWtNxfVyOSwl5\\nXHMU98QdljiuLudmAjgpudhu6eU4r+lYdjOlSpExiPfomAm9OLsSp3Jcp+m4mgPSXOBQKtlxdTm3\\nIYBjEsfjKseMQ+88Ds9Ax1YlzlE4znI9x9VXOjJc4KDEcV0lp5hC4JjkfB9TcSwAdGvm7aJGnF+L\\nvK3pWDdvOxXHaYXjag5wuECXxHG24pjGxlMMdGy0hcBJUz02EsSZTDabxaJFi5BKpdDZ2Yk33ngD\\nTz31FFavXt3zwayWlhZ89KMfxdGjR/Hss8/ixRdfRGdnJyZOnIg4jhHHcZ/l30B5Mm3bNsKwvAok\\nCAJYlvWuiaRhGGCMIYqSV+488MAD+PWvf41jx44BAOI4xquvvgrMGQlR+XL30JCcZ4rFIu68806t\\nVjo6OnDJJZfUrlsDhCbSBEEQBEEQBEEQ74FsNoulS5di3rx5OH78ODZs2ID777+/531mwzAwYcIE\\nXHvttfB9H6tWrcJ3vvMdbNq0Ce3t7T1LuYMggO/7SKfTAE6VumpoaABjDPX19fA8710T5mrprWw2\\nedVLW1sbLrjgAhSLRQDlJ9Su62IHChi659Hyj40VCgXcdtttaGpqwoQJE6RPnhljNJEmCIIgCIIg\\nCIJ4v1J9D9pxHDQ1NWHWrFm4//77sXPnzp4Yy7LQ0NAAAGhubkZTUxP27t2L48ePY8KECRg9ejTe\\nfPNNdHZ2Ytq0aYjjGCdOnMC+ffswc+ZMGIaBKVOmIAgC7N+/H67rIpvN4sSJE+jq6kIqlUJra2ti\\nH+fOnYtZs2b1LO32PA+dnZ3YsfvxIX0iXV1K3h+GYaCxsRFvvfUWDMPAvHnzMG/ePDQ1NfV5Ug8A\\nEydOHPS+yqCJNEEQBEEQBEEQxGny8ssvgzGG0aNHwzTNnqXbxWIRbW1tyOfzeOGFF9De3o5cLgff\\n9/Hqq6+is7MTS5cuRUNDA5qamtDR0YEdO3bgvvvuw7p161AqlXDffffBsiwsX74clmVh5syZmDhx\\nIjZt2oS2tja0t7fjqaeewmuvvYapU6dKJ5emafaZjAohYJpmZWKr9wGwWiAES5xJ19XV4Wtf+xqe\\nf/55HD58GIZhYP/+/cjlcpg9ezamTp3aczNiuKGJNEEQBEEQBEEQxGmybds27Nq1q+cDYCdOnMDb\\nb7+N+fPnY8WKFTh+/Dh+9rOfYfz48Uin04jjGK+//jqam5tx4YUXYvz48bAsC0uXLsUbb7yBjRs3\\n4siRI/B9H6+88gquv/56zJgxA4ZhYNSoUfj4xz+O3/3ud7jrrrvQ3NyM3bt3o76+HpdeeunpTTKH\\nagatsUnHcbB+/XpcddVVeOGFF7Bt2za88MIL2Lt3L55//nlMnjwZK1aswJw5c971hHqooYk0QRAE\\nQRAEQRDEaTJu3Djs3LkTL7/8MuI4xsiRI7Fy5UpcfPHFaG9vx5EjR9DS0oJdu3ahUCggm81i0qRJ\\nWLNmDc4999ye95pnz56NP/3TP8Xvfvc7vPTSS7BtG2vWrMH111/f513ha6+9FtlsFps2bcLOnTvR\\n1taGyy67DMuXLz/tfSgv7X7PKrS3pcKyLCxcuBALFy5EV1cX7r//fvzsZz/DL3/5S+TzeXR0dNBE\\nmiDORHTzCB+67zJ84Ki145iOxWmjeyzIcT9oOiHH74EaO6a8ffqQY4Lon8svvxyXX3554t83Nzfj\\n7/7u75TtmKaJuXPnYu7cudK4bDaLa6+9Ftdee+2A+9o/Z96PlnOOY8eO4dChQ3jrrbdw8OBBjBo1\\nCo7joK2tjcpfEe9Ppgchpgdh4t8HlXqb53iBtJ1qfdkPlXxpXFyJO8/1pHGcMQACK4ryOL9SJkQV\\nFzIGW6jb8xhDI+fSuKJhwDMYxkcRxkvKElRLmEwNQkyVOK66m6twXKokmUU1c1z+c4UiLjDK776o\\n3AWMwdQ5ZoyhXuEYADyDYWwUY2yUXCqlWhapPQjRruF4th8AEn1VxwsVjsNKe8sU7qpj2fkqx4zB\\n0jg/XYOBQe9Y5DQdN0dxTxmx/rdZdjIpjDApTD7fq/WPZyocFyvtzff0HC9VuKtOBlSOI8aQ0nBc\\n0swpPmNwdHKKwTAqjrGimOy46qQtjNAmc1zpW4cfosNPPt+r7c1TOK7+LhYrzndROZGX18ixp+k4\\nYAxpjfZ8g6FJ03FrGKFV4rh6/Gls7MtgjI0EQQwOAuX3lofsY2OCAQnbiuMYXV1dOHr0KLZu3Yot\\nW7bgjTfeQEdHB6688kqsXLkSLS0tYGz48wJNpIkBEQEY1asWZhIxY1pxAfTihOZ2OdOL8w3WU8M2\\nCRsC9bFASrH+JCMEclz01M3sj1HgyHCBDAdyXL7dSNOdnmOOULc91NZxwBjqFHEp6DlJazgGyjVL\\nHS56avH2xyjoO9aL4whq7BiajkPGkNVpD5A6Acp1i2vnmNfU8ajBcKwZp7sfzACcWO4uLQTqYoG0\\nKqcMk2Pt9jTzNofueKEX5xlARuE4JfTydrri19FwnOZA3ZDmbRobCYI4e+nu7sY3vvENbNiwAa2t\\nrbjiiivw5S9/GZMmTYJt2wCAEydOAABSqRRyudyw9ZUm0sSAsABsyWVw3ExeTjEliHC+6+Hheqfn\\njn5/zPUCnOsH+G1DDsn3oYElJR8Twwi/a8hKl5WtKpbgcIF7G7PS9WeX5134DHhAEmcAWNddxDHL\\nwHYnndhWWgis7y5iv2ViRyaVGNfAOa7qdvFmysLuVPLPbkwU47JCCY/VOTgmcTw5jHBBUe14th9i\\nfsnH/zXKHX+o5GNKEOE3CscXFj3Uc457GpJrFALAZXkXAQM2NCQ7ZgDWdxdRNBgerk+OSwmBdd1F\\ndFkmXpA4ruMCV3cX8VbKwhspOzFudBxjbb6EJ+ocHJE4nhhGWFX08Gi9g7zE8Uw/xCINxwtLPqYH\\nEe5tyEJ2ubii6KGJc/xO4XhNoQQO4PcSxwBwZbcL12D4Q72TGGcBWH+yiEOWiT9KHOcqjvekLOyU\\nOB4Vc3wk72JrLoPDVvL7SxPCCBcVPWysd9AtcTwjCLHY9fG7+mzPk8n+mO8F6PBDpePlrofRkfo8\\nvqRQggHgfoXjK/IuSozhocZkxyaAj50s4rBl4FlJTnGEwLqTRey1LbyaTnbcFHNckXexLZfBQYnj\\nlijGJYUSNtU7OClxPC0Iscz18VB9Vvr071wvwGw/wP815JD8LBdY5vqYEEVKxxcVSkgJgfsUefsj\\neRceY3hQ4thA2fERy8DTEseZiuN9toWXJY4bOceV3S52py28ZSfn7XFRjDWFErbUOTQ2VhiMsfGq\\n5K4TBPFeEUP/RDopHbmui1/84hdobW1FW1sbXnrpJbz00kv9xq5atQpf+tKXBq+jCmgiTQwYW4ik\\n1Rh9MJG4aqNvnBAINZZtMei9dyWqwe8lrtevW7oPunG9/xONuJSmY0uzPesMdMyEXtywOxZ67dkD\\ncFzL/TiTHac1HduajnVzigH9d43POMcDPBb6jmuft6OhyinD7Fg3jsbG04jr/Z8M/ypNgiDOABzH\\nwXXXXQfDMJTvQTuOM0S96h+aSBMEQRAEQRAEQRDDzogRI/Cv//qvWrHpdPLKmKGAJtIEQRAEQRAE\\nQRBnKQLlZd18KJd2J2yrWiv7/cDwfzecIAiCIAiCIAiCGDaGqIT0kG9rMKEn0gRBEARBEARBEGcp\\nQqDywbHh7sn7C3oiTRAEQRAEQRAEcRYzpE+kPyATdnoiTZwWpuQH0Ls8TVLcO//1e43r/cVSWd90\\n43S2CZRrgurEBZpxoWacrxE3qI77+w/7i6uBY15jd9H7xLHR33/YT5xsH3r/VS3iau1Y53dRa8e9\\n//WZ6Fg3p9Ta8WDlbSaJ087bGtt8J7VwrBun+7ugsfHdnM7YSBDEIFEpgTWEm3vfw4SQ3xO44447\\ncOONNw5Vf4gznI2bNmHD5k3KuAwX0nqvAFBiDI2c9xlI+8NnDFkulOVsSozB0bjFFUHvDpIp9Ero\\n2EJoDfIpLhBolDJxuJDWca2i49hlDE0xh6+I8xlDjgtEis26jCGr4TgEkFyd9RS6ji0h+kwckrC5\\nXrkYXcc6cbqOPcZQp+E4BIOtMbwEYEhpxHHoLT2yBJR9A4bHcdGqL82wAAAgAElEQVRgaIq48vfj\\nMYZ6LhAqNhswhpTGeeyDIX2WOAaANBfK87jEGBo4V+a8gDE4GnnbA0NGw3GMyg08Bdp5W9PxcORt\\nGhv757ILV2LVypUaPSQIQhfP83DzzTfjf159DM2fvARGSufq7b3DgxBHfr4R/1/rfNxyyy2nVcaq\\nUCjA8zw0NjbCtmvfb505MD2RJgbMaykbGcWg3OGHeCVtI8vlcXYosM9Wn4bjohhdlvwyKss5CjDg\\nKgbkUVGMbtNQDvATwwh7NPo2LQjxRsqGreUkhSzn0riZflhTx2khsFfHcRijy5Y7znCBUAicMOXT\\nhpFRjCOmobwQnBhG6LQt5WX0lCDErpQNS+Fkhh/i1bQNR+Fkph9iZ8pGWtHeTM320kLgtXQKOcWx\\nNcIYBxSOU1wgJwSOKxyPiDmOGUafJ+f9MS6Mccg2Ie8Z0B5E2J2yYSqcTPdDvJa2kdFw/HrKVk5Y\\ndR03RRwvazg2wxj7FY4tIdAQCxyz5I4bYo4ThgFP4XhsFOOIaSonF+1BhDdtSznpnj6A8/OldAp1\\nOjlF45jN0MxRViiwX5FTDAE0I8ZBRd6uizm6maGchDZHMY6bpvJGxOQgwlu2pSyXPE3z/OzwQ63z\\nrtZ5m8ZGgiA+2Lz3J9/PP/88Nm/ejI6ODixYsADt7e016NfAoIk0MWC6LBMHJReqU/0IHQixx7Zw\\nUjIZOKcUwBECzzkp6YRrqesjJQSectJ9lp+9k9WFEhzO8WhdVtr/td0ubCHwWC6TGGOK8sUCAGzL\\nJteoy3CBaUGIEMCzkrjGmKPDD+EyhhclcWPDGDP9EIcsUzrhag8idPghOm1LOqmd44XIcIE/Oinp\\nhGux6yOj4XhlwYMtBLY5aWkOvLzbRYoLbKlPdmxUHDMBPJlLdpLmAlOCEBGAZyTu6mOBGX6IEmN4\\nIZtKjGuOyo4PWyb2SRxPCiLM9EPstSzphGuWF8LhArtTlvRCdVHF8dNOWjrhuqDgISUEtjtpyFZY\\nXZovIc0FNkscMwFcGbowhMBWyflui/I5FQN4WuK4LhaY7ofwGMPzEsejI46ZfogjpoHOVPIw01Zx\\nvN+ycETiuMMPAQBv2RYKZrKUBaUAaSHwjJOWTrjOL+o5/nC+hAwX2KRwfEXehSkEnpA4tiqOOYCn\\nJI6zvOzYZwx/dJIdj6w4LhgML2WS22ut5JT9lonDkgnX9F6O8xLH80oBMkLgWSclnXCdV/SR1nB8\\ncb6ctzfK8rYAPpp3YQmBxxV5e3IQQQDYLnHscIFpfoiAMTwncTyikreLBsMOiePxFcc0Np5iMMZG\\ngiAGDyHkJakGY3vvlUOHDuHRRx/Fjh07UCwWaSJNnJ0YAlo3pugNqdOHHJ85kOPBhxwPPgPJKR+E\\n9+CGA8rbBEEQyVx66aWYP38+3nzzTeTz+WHpA02kCYIgCIIgCIIgzmIEhu7G50C2FUURoiiCEAKm\\nacKyLBiGgWw2i/b29mF5El2FJtIEQRAEQRAEQRDEGYPruiiVSti/fz8OHTqEMAzR0NCA8ePHY+TI\\nkchms4PykbGBQBNpgiAIgiAIgiCIsxY2xO9IM8g+oBEEAX7wgx/gv/7rv/D2228jDMvf8WCMoaGh\\nARdffDE+97nPYdWqVWDDWB6PJtIEQRAEQRAEQRDEsJPP53Hrrbfitttuww033IDVq1ejtbUVlmUh\\nn8/jxRdfxG9+8xvccsstKJVKWLt27bD1lSbSBEEQBEEQBEEQZzND/ZJ0Aq7r4he/+AW++c1v4uqr\\nr8aIESNgWRYYY+CcY+bMmZgxYwZ++tOfYvPmzTSRJt5/jI6S6z36lRJAtpDHVct61HGBOklNzWp9\\n0aY4ua2w16oO2TZ14yLNuN6lSWRxXLM9odledbuWpuMcF8hJHHuajouGgXrOMXoIj4Wu41gzrvc3\\nbuX9K8cZmnFZLqS1YauOR0jcAYBrGGjiHKOG0LFv6DmJtB3rbVe3vZJRLhWUEQKZKNlxtcRbo4Zj\\nYGgde5qOQ00nvS3U4nfhVRynhUBaw3E9F6jXyNsj38eOdfM212yPxsZ3czpjI0EQg8AZVF4hjmMc\\nOHAACxcuxKhRo/q8B22aJmzbRnt7O5qamnD06NFh7CnAhJBX8rrjjjtw4403DlV/iDOcjZs2YdPG\\njTVrj6M8UVERA0iuzlnGYwwGBFKKZBAyBlujgF3MyjUzVejuw3ChWUFFyzFQvuCyFV4CxpDScByx\\n8s0AFbqOdfe11pzZjhksjbgPimPd/YigvpPsM4Z0DR3rHn9y/G608zbObMe60Nj4blauWoVVK1fW\\nsEWCIDzPw80334zbX34co/5kDVhqaD7eJcIQx375CK6fMA+33HILHMfp+btDhw5h7dq1uOyyy/C1\\nr30NjY2Nff5bzjkeeeQR3HnnnZgyZQr+4R/+YVD6qDMHpifSxIB5qM6BKRlsUwI43/Wwod5BWnI3\\nfUTMca4f4KGcIx28W6IYE8MIm7MZ6cRhWhDC4QJPZ9PS7Z7jBThmmdhnyU//ZSUfb6RtHDHllwIX\\nuh6edNLwFHfMVxc9bM5lEEujgIuKHv5Q58CQ7KsF4IKihwfqHaQk+9rABeaXfGyozyLLk+/2j4ti\\nTAkiPJSTO54SRKjnHNudtPTid64X4KRpotNWO34lZeOwJXe8wvXwjJNGSeF4VdHDllwGkTSq7Pjh\\nOgdMsg9Gpb0H6uTnZx0XWFRx7Egcj4liTNdwPDmI0MQ5nlQ4nu2HKBgMexSOF5YC7E1ZOGTJL7fP\\nd30856TgKhyvLHp4IpdBKI0qO34kl1FEleMerHOkE9GsEFjs+nigPouMxPHomKPDD/GowvHEMMLo\\niGNrVu54ph/CMxjeUjhe4AU4YFno0nD8fNrGCUVOWVn0sDWbQaCY6V1U9PBoLqN8kKDjOCMElrk+\\nfq9wPDLmmO0HeFSRtyeEMSZEER7KZqSOZ/ghQsbwZkrueJ4X4LBlYb/C8XLXx4tpG8dUebvoYVs2\\nA1/heHXRw6ZcBqr1FxcVPRob30Gtx0aaQhPEBwjJMvK6ujr85V/+Jf7zP/8TnZ2dmDlzJkaOHAnL\\nsuC6Ljo7O7Fjxw6MGzcOa9asGdJuvxOaSBMDJgawX3LRM9UvT2N8xnAolXzRM6IUAABOmEafJXnv\\npCUqD69HLBOxZDyeFpQv7VUThnO8AA4X6JTsgykAlHykhDwuU7koyXCB153ku3jVpaamAN5KJ7c3\\nNizvKwewT7Ld9uCU44MSx3O8shPXYDgquTgap+l4SmW7hyxT+jhnroZjo+I4rXBcvfBzuMBOieP6\\nuBxnCYE308lxzZV9FQD2SrY7qbKvAWPospMdz+rl+IjE8ZjKdo9aZp/lke9kcmW7hy1T9kFLzPZD\\nZBWOmShPpDMKx+Wn3z6yXOA1ieO6imNbCOyWOO69RFO23bbKvoaM4YDEcYdfdlxiDIcl7Y2u5JRj\\nltlnqeo7mRjqOZ6p6XiBFyCjiLMqjlU5pfp6QEoI7JI4HllxzADskbTXWskpEQMOSG4ITK849hSO\\nR1YcHzeNPq8EvJMJ4amcwiWOZ/ghcpxLnUCUJ9Iqx6amY6fiOC0E3pA4rr6GYQB4W9Le+Mq+0th4\\nisEaGwmC+OCTyWRw1VVXQQiB7du348UXX+xTR9q2bSxcuBCrV6/GggULhrWvNJEmCIIgCIIgCII4\\nSxEAxBB+bEy2KcMwMGbMGPz5n/85li5dir179yKfzyOOY6TTaTQ3N2PKlCkYP348LMUKmsGGJtIE\\nQRAEQRAEQRDE0KAxYbdtG1OmTMHcuXNhmiY45zh48CDy+Txs2waXvIY0VNBEmiAIgiAIgiAI4mxF\\nDO1HGIVkS5xzHDt2DBs3bsT+/fvR2tqK5cuXY9euXdiyZQsOHjyI5uZmLF++HIsXL0ZdXd0Q9frd\\n0ESaIAiCIAiCIAjirIUBgkHIPhxSSwSQ9JES3/exYcMGfO973+upId3V1YWtW7fi6NGjcBwHzzzz\\nDF577TWk02ksX758aPrcD2dy1R6CIAiCIAiCIAjiA0XyhL1QKOAHP/gBLrroIvzbv/0bPvGJT+Cu\\nu+5CHMf49re/jV/96lf4+7//ewgh8PDDDw9hn98NTaQJoh/OoLr0H1jIMUEQtYRyyuBDjgniA4xg\\nQ/hPcjfCMMQbb7yBT33qU5g1axZuuOEGMMawdOlSTJs2DaZpYsGCBZg2bRq6urqGzk8/0NJuYsA0\\nxzGa4+RSFGGlZmRbGKFNVmy2cjOqWpojiaDS3iw/kMa5hgGHx5jryeOqJVtUcdWaxbK4Uq/SJLI4\\nv9KWI7g0rmiU722NimOM0nA8IYwwQaKv+g7KVIXjSNsxQz0H5irifIOBCbVjt4aOq7VK00JoOW6K\\nYzRJHFePWUsUoUVSmLrqeIqm45kKd57BAA7MUTlmDLZiX4FT/mRxrnHqnqqOY9V2q7/ZRs7RqPG7\\nGBdFGCdxHFfiJochZAWsq2WWOnQcQ+04YAwZDceepuOiRlz1eJmQb7fqrp7Lc0qpcmzHRjHGRsnn\\ne9XxJE3H01V5u7IfszUcp2rkGCjnKFVc1THTdJzTdExjY6+YQRobCYL44MMYg2EYCMMQnHOEYTkX\\nxnHc84Gx6v9mijr1gw1NpIkBIVCu51mrOCZq257HmFZcwFhPDc7EvgFIhQKOUN+DP1dxIVNFp29c\\nM07bsWYcNI+FPwDH4zy144wQyIRyxwLqyXsVrX3VjNM9FrV2HAzA8RiFYwCo5wyTQ8lMtdw1TA4j\\nZDW+gvmBcAw9xyFjGK3h2GMMEyO5YwbACgWyGjllOBxrb3eY8rbPGCa8zx3T2Ng/useCIIjBQYgh\\nLn9V3V4/2LaNWbNm4d///d/x9a9/HQ888AA459iyZQvOO+88NDc345lnnsGrr76KefPmDU2HE6CJ\\nNDEgGIB767M9d5H7ozWMcb7r4bcNOciG4+l+iHP9AL9uyEm3Oc8LMDGM8NuGHEzJwH2e68HhAnc3\\n5GBJ4i4qlFAyGB7PZWBIEsYVeRf7bAvPOSlp3PruIrY5aey1k39OaSFwVbeLTVkHR6zkO+uNMcdl\\nhRI21GWRN5Idj49iXFD0cHdDDrLLyqlBhPklH79pyElz4zlegClBhN80yh0vdX3Uc47fKhyvLpQQ\\nMIYtdWrH+y0Lz2Tljq/pLuIpJ423U1ZinC2Aq7uL2JLN4JBlJrZVzznW5kt4qC6LbonjsVGMVUUP\\nv63PIZTc8GwPIizScDzHCzC94tiQuFvs+miqOJYdi5VFDxzAJoXjS/MlHLEMPJVNS+Ou7nbxlm3h\\npYydGGdVHD+WzeCgxHEdF/hI3sXDOQcnzOTzvTmKcVHRw931OQQSx5PCCItdH//XkINsmj/LD9Hh\\nh/i/xhyYxN2iko/RkdrxBUUPBoCH6xzp+b6mUMJxw8C2nNrxHtvCi5KcYgBYd7KIJ7IZHJA4znKB\\nK/IuHsk5OC5xPCrmuKRQwj2KvN0WRljm+sq83eGHmO0H+E1DTvp11wWlABMidd4+v+ghJdR5+5JC\\nCXnDwFaF46u6Xey1LTwvccxQdrw1m8F+ieOMELiy28XGnIOjEsdNMccaDcc0Nr6bgYyNFydviiCI\\nDxD19fX4+te/jk996lO4++674TgOvvvd72LLli34/Oc/jyAIUCgUsHz5cqxdu3ZY+0oTaWLAZLjA\\nSVu9zMoSAkXJxUdvPMmEpgoHEGrERezUMloZAWOJ3zowhV5chpcDHS6k+5COy3FpIY9rrFxdWULA\\n01jKZgmBwnA4BhBpxMncGZqO0xXHWS6kcbam4/rKTMzWdGwLgbyGY4a+yxmT4Di17FVGBL1jIXPC\\nNB3bmnF1FccZheO6yjGzFXFVUkKgW8OxIQDXrO15/F5ziq5jSzMuW3GXUeSUalxK5biSU1JC4KSm\\n46KGY0Avp8SoQd7WdKebtx3NvJ2JB+aYxsZTDNbYSBDEIDKET6Rl20mlUlixYgU2bNiA3bt3Y8KE\\nCZgyZQouvvhibNmyBbt378b48eOxZMkSTJ8+fYg63D80kSYIgiAIgiAIgiCGHcYYHMfBzJkz0d7e\\njlQqBdM00dDQgLVr18LzPKRSKeRyOdi2Pax9pYk0QRAEQRAEQRDE2YpAuYb0ENWRLn+oNXlbQggU\\nCgXs3bsXra2taGhogOu6eOGFF3DgwAG0tLRg1qxZGDly5JD0NwmaSBMEQRAEQRAEQZy1DPHXryXL\\nyKMowssvv4zvf//7OHjwIFpaWvCZz3wGjz32GLZt2wbXdWFZFlasWIHrr78eEyZMGNKu94bqCRAE\\nQRAEQRAEQZztiCH6R0KxWMSPfvQj7Nu3DxdccAEYY7jzzjuxbds2nHvuufjEJz6BGTNm4LnnnsPm\\nzZtruvsDhSbSBEEQBEEQBEEQxLDjeR42bNiAT37yk/jiF7+Im266CS+++CImT56M66+/Hn/2Z3+G\\nG264AWPGjMEf//jHYe0rTaQJoh+45goX3TidL6Webei+hqPrONaMC8+mY6G5q7of6STH/TBM5/FZ\\nlVNq7Jjy9ulDjgnig4sYovejq9tKuvaI4xjHjx/HokWLkM1mMW/ePBiGgba2NjQ1NQEAxo0bh5Ej\\nR6JQKAxZn/uD3pEmBsw8LwC85L+vlgBa6vrSdoLKAHphUdIYAL/S3sWFkjSuOnCvyaviGGyhjgsY\\nQ2PMlXEhYxgfxRiv0d7UIMTUIEyMKRgGAsZwjhfgHA3HSxSOqzVNL1A4Lmk6jivtrVHECcZgQs9x\\nPVc7jhjD2CjWaq89iNAeyKprl+PmeAHmSLS4FScfKuk5XqHp+CKFu+ok9MOKOKA8v9Bxl+NCGecx\\nhmYNxyFjmBREmKTheJYfYpaffL5XHS9UOK6WxVnuyh0XK+XMVtfQMaDn2BF6jkdp5pS2MEJbqHbc\\nUamdnUTVyYJSIO9bxfF5mo5XqvJ2xfElqlxR+VPlJGYMaQ3HPmPlus4ajlvDCK0ajqf7IaZrOKax\\nsS81HxulrRAE8V6o5uKhnEwnYZommpub8eyzz6KpqQn79u0DYwydnZ04cuQIGhsbsX//fhw7dgz1\\n9fXD2leaSBMDIkB5QKvjPDHGqdb7VZASQuvJVZoLBBqPJAxRvhBQxwlEButTxzipfydMo6eOcRK2\\nKO9vSsjjUkKgZLCeGqb9Ucc5UkKgaBjI1cBxWtOxw0XPha8MU4ieybQMJgQEY8qjlhICJwwDaYU7\\nS8NJtT3PYD01TGVxqvayg+DY04izhajpUxpLCLiGAVvhOCMEDhum0rE9AMeuwXrqHfeHruMM13Oc\\n43zYHJc0HR81DGkOqPbPr0wcZeg4znGu7VgnLse5lru00MvbDOUbbypMIRAYBkyFk/QgOFbl7apj\\nGhv7UvOxUd4tgiA+IGQyGaxZswY/+tGPsH//frz66quYMWMG3nrrLdx7772YMWMGnnzySRw4cABX\\nXnnlsPaVJtLEgEgB2JWycNA2E2Om+hHGuR4ez6V77tT3xzmlAM1+jI11GenFxVLXRyOPcE99VroE\\ndXWhBIcLbGjISvdhbbeLGMAf6p3EGFMA67qL8BjDpvpMYlyGC6zvLuKoaeBFJ3mYb4w5rup2sd+y\\nsCud/LMbG8YYXyhhd8rCAYnj9iDCBUUPT+TSKEgcz/FCNEc+NtVlpBPlxa6PpjjC3QrHKwse6jnH\\n7xWOL+92wQE8LHFsCGB9dxEBY9hUl+w4zQXWdRdRMBgezyW3Vx8LXN1dxAHLxOvp5LqCzZUnJG+l\\nLOyTOJ4URFhV9LA1m0beTHY8ywsxRsPxItfHyLh8HsumqhcUPDRVHMuOxaX5EgSAhySOmQCu7HYR\\nMODRuuQ4WwDrTxbhKhzXVRwftEy8JnE8OuL4SN7F27aFzlTy+d4WRLio6GFbNo2TEscdfogxro8t\\nuUzPU73+WFAK0OGHuLcui0gybzi/6GF0xHG/wvGH8yUwAA8qHF+RdxEBeFQSZwngYyeLcBnDFklO\\nyXKBdSeLOGSZeCWT7HhkxHFF3kWnbeFtiePWMMYlhRK2Z9M4IXE83Q8x1vXxWC7Ts1KgP+aVAozy\\nYzxal5FO9s4r6uXti/MlmELgQVlOEcBHK45lOcWsOPYUjp2K4yOWiZckjkfEHFd2u9hrW3hT4nh8\\nGGNNoURjYy8GY2z8hLT3BEG8Z3Tf8xpk6urq8LnPfQ5/+7d/i1//+tdoa2vDN77xDTzzzDP4zW9+\\ng9tvvx11dXW48sorcfHFFw9rX2kiTQwaluYP0hDQegfOEPrvD54tDJtjzfY+CNiajs0BONZ6f5Ac\\nvwtTM05b21nlWE+ermPdnMLEkJUlfd9AYyNBEGcc4h1/DsX2ErZlmiamTp2KX/7ylzh58iTq6upg\\nmiaWLFmCSy65BAcOHEBzczMmT54Mx0m+8TcU0ESaIAiCIAiCIAiCOKNobGzs8/+nT5+O6dOnAwCE\\nEBBCgA3jRwtpIk0QBEEQBEEQBHFWwzB0y7T0tsU5h9HPqzBCCOTzeYRhiFGjRg1C//Sg8lcEQRAE\\nQRAEQRDEsCOEwNGjR/G5z30OM2bMwMyZM/HVr34Vr7/+OkTlNSXXdfHf//3f+Na3vjWsfaWJNEEQ\\nBEEQBEEQxNmMGOJ/EigUCrj11luxbds2fOYzn8GNN96I5557DjfffDO2bt0KzjmEEHBdl+pIEwRB\\nEARBEARBEESpVML999+Pm266CR/5yEdg2zZWrlyJH/7wh/iP//gP+L6PRYsWDeu70VVoIk2cFrIa\\nsr1LAMniepexSYrr/XVjW4jEr/v2jpNtM9LsW6wZ15tatOdrOAHQpyTKsDgWIvFuYq0d9/4bWZzu\\nOaDrTjfOG6BjS4jEr/b2jksPpWPNuFo7DnUda8T17pspROLXp3Ud6+6rrmNe4/Nd151unE7e5gw9\\npbGYIq5KqgaOhytv625XN47GxtNvz5eUZCMIokYonhTXfFsJRFGEzs5OLFmyBGPHjoVlWRg5ciRS\\nqRRuv/12/OhHP8Lx48cRRdEQdTYZJoS8JsYdd9yBG2+8caj6Q5zhbNy0CQ9v2qiMM2tYjqPEGLJC\\nKH/bAWPlizYFHmPliaAC3co4DHp5R7fskW6ctmONHdF17DNWnnwoqLVjXWrt2BKQ1iOuolPix2UM\\nuRo6DhnTKmkUgCFVw5HxjHZsGHA4V55TuuentmPN3KPLcDnWbU/nd+sxBqeGeVv3d6GLblmuYcvb\\nGpxtY+NFK1dh9cqVGi0SBKGL53m4+eab8YPnt6LpusvBbHtItivCECf+7w/45JS5uOWWW/qUserq\\n6sKKFStw++2347zzzkMqVa5FH8cxnnnmGfz0pz/FwYMHcejQIUyaNAl33nnnoPRRZw5MT6SJAfNE\\nNoMc59KYhaUA25209MKHCeBcP8CT2TQcyZ3oHBdojmK8lZKfrs1RDAPAQcuUxk0MIuy1LRQVd7hn\\n+SHeSNkIFQP8PC/ACxn1VGVhKcDTTlp5Yb6oFOCJbAZODRwDwLyS2rHDBcZFMd5UOB4VcdgQ6FI4\\nbgsiHDJNHLfkn2GY5YfYnbLhKxyf4wXYoeF4QSnAs04aZo0cL9J0PF/DcZoLtEQxXsqkkJVstyni\\ncCCwX+G4NYzhMYajCsdT/Qi7U1afp2H9MdcL8UrGRiyNKu+rruMnNdwtKgV4ykkrL/TnlwJsc9LS\\nC31bAB1+iO3ZtNRxY8yR4wL7bbnj8WGMkDEcUTieEkR4y7b6PEnsj7leiFfStnIiNb8U4I+ZNJji\\njB+IY528vUDDsSmA2X6AbYrzvT4WGBnHeFuRU8aGMQQDDinO98lBhD221fNEPIk5XoidaY28rel4\\nIHn7MRob+1DrsfFiRTsEQbwXWPnuos4dxlog2Y5t2zjnnHPwyCOPYNGiRT0TadM0sWjRIsRxjJ/8\\n5Cd48sknMWnSpKHpbwI0kSYGjMsY3sykEv9+ql9eanHIMnHSTL4APacUAAD2WVaf5bHvZKnrwxEC\\nL6dT0rvWqwslpLnADknfgPLFQpZzbMsmF3E3RfliISUEnnPSiXEZLjDPCwAB7HCSt9sYcywsBYjA\\n8Fom+W7f2LA8jXEZwy7JfrQHZceHLRMnJI7neCEAYL8lv8hf7PrIcrXjlQUPGS6wI52SPpJoCyKk\\nhPxYGFXHXOCZXLLjNBc4xwtgCOB5ieP6WGBBKUAE4BXJdpujsmNP4XhSxfFR08QxyURqVsXxAUt+\\nkb/I9ZHjAntsS/p08IKK45fSKel41hqWlI6ZKP8eMwrHtihP8lSO62KB+aUAHHLHoyMOIIDHGF5P\\nJ5/vbRXHx0xTOlnt8MuOuywLBTNZyoJKTum0LelF/vlFD46G4/FhCWkNx1OCsuOnssmOrYpjSwg8\\nL8kpWa7neGTEsQgBAoXj1kpOKRgMb6aS25tecXzQspCXOJ5XcbzXsqTLbc8r+sgKteOxoUbeFuWJ\\ntMMFtkscm6Kc8yxF3na46NkP2XZHVPJ2wBhekzge3ytv09hYZrDGRoIgPvhks1lcf/316Orqelfp\\nK9M0sXjxYgghMHLkSEycOHGYelmGJtLE+wZ6Q2rwIccEQdQS3eW9xOlDeZsgiFogxNDlE9kClEwm\\ng7Vr16K7uxuZTOZdf29ZFpYsWYIZM2Ygjof3JhtNpAmCIAiCIAiCIM5yavgpitOGMYZcLodcLpcY\\nY1kWRo8ePYS96h+qI00QBEEQBEEQBHG2MpRf7O69zfc59ESaIAiCIAiCIAjibOcMKH/1foKeSBME\\nQRAEQRAEQZzNDOnk9oPxdQd6Ik0QBEEQBEEQBHFWM5Tlryrbe59DE2liwKSE6Clb0x/VGqkNMUdD\\nnFxTs1rWo1qOKImgUv+2JUzeJgCUDAaHy/vWu1yLLC5genGhZpzuduNKe5bCcdVqfcxRL3FcrR08\\nukaOPYOhngNtiriiYcBW7INfY8derxIJsrio0p6h6F/1xmyOc+SCZMdVd6OiGKMSo07FjddwDA5M\\nUMS5BkNGdb5rutM93wfqWBVXxeEcbRLH1XOgKY7RJDmVqxJEGasAACAASURBVOXHxqkcV9rTcVw3\\nxI5dTce6vwtRiVOdK9VjNiKOMULiuFpGb4wip1S9tGo4TsVnpuNAM2/zynZpbDzFYI2NBEEQZxJM\\nCPn32e644w7ceOONQ9Uf4gxn46ZN2LRxY83a49B7vyCC3l2fgAEpxdKUgDFwABnFpwkjVq79qkJ3\\nH4YL3f7FAEyNuJCV6w6r8BlDeogdCwzP/U3d7eo61vWi55jB0vgMp67j4TrfdR3XPqcwpBT+QsZg\\nazjWPf5nn2N13v6gONaFxsZ3s3LVKqxaubKGLRIE4Xkebr75ZvzguSfRtH4tmJ1cz72WiDDEiXse\\nwienzcEtt9wCx0muX//lL38ZQRDgC1/4AubMmQMA+P3vf4///d//xYIFC/CFL3xhUPqoMwemJ9LE\\ngPl9fRbJ99KBxpjjfNfDvQ1ZGJLBdnwY4Vw/wN31OemF6tQgxMQwwn11WemE4BzPh8MFHs850guu\\nJa6HksHwrJORxq0ulvBixsZ+S/4zubTgYnsmjaOW/PJtbd7FI3VOz9Ow/jCFwGWFEjbUZyF7FlHP\\nOS4oqh2PjWLML/m4pyEn3df2IMSUIMJvG7LI8OS4OV6Aes6xReF4seshYAxPZ9WOX0rb2GvLHX+4\\n4OK5TBpHFI4vz7t4tM5BSeKYQWBtvoQH6rOQPcfJcY5VRQ/31melk4vmKMaiko/fKRxPCkJM13A8\\nywvQxDk2KRwvKvngALYrHJ9f9LAnbaNT4fiSQgkvZFI4pHB8WcWxq3hC9JG8iwfrnD5Ppt6Jwzku\\nKnq4rz4rbWtUHGOx6+Pehpw0B7SFETr8EPc1ZJGWOO7wA4yOODbWyR0vKPkwADypcLzc9bDPsvF2\\nSu34uYyNg4qcclnexePZDE6Y8mnIR/IuHqpz+jwlfCdpIXBJoYT767PS19+a4hjL3PJ5bEr2tTWM\\nMNsPcJ8ib0/3Q0yI1Hl7XslHSgg8oTjfl7keuiwbr6dtadzFhRKez9g4oMrbeRdPZjM4rnC8Nu/i\\n4Tqnz1Pxd2ILgTWFEo2N76DWYyNNoQni7CSdToMxBqPXaiLTNJFOp2Ep8tBgQxNpYsAwIXDETh4Y\\nGytL1mIAx6zki5TxYfnPgAHdkouZqUH5z7zBtJZ3nTQZdJ6ryOLMyjWEwwWOSPahOiFKCXlc1Uma\\nC+xNJ7sbG5anz4YQOChxXF9ZBsshdzy2sjQwYMBJieP2iuMSYyhYGu4MBrzHY2FoOq5OiNIKx/Vx\\nOS7DOTrTyXdUq8slTSHQJXFcXc4tAByVbLfaXqhwPKni2NN03G2wnmW5MmSOWcVxlnOpu+oKA5Xj\\nuopjh3PskTgeHZXdWULggMRx7+Xcsu2OisuOIwAnJHFtlZziMYa8xHGHX/5zKB1Xn+BlFOd7tnK+\\n24pjMbLi2BYC+yWOW8PqLTkhvRHV1Mvxccl2WyuOfUXent7LMX+vebviLse5Vt5WOXY08/aISt5O\\nCYF9EsfjK45pbDzFYI2NBEGcfXz+858H5xzjxo3r+XdLlizB1KlTpbWmhwKaSBMEQRAEQRAEQZzN\\nDGUt6QFsZ/Lkye/6dyNGjMCIESNq15/ThCbSBEEQBEEQBEEQxBnHrl27sHPnThw9ehRhGPb5u2nT\\npuGCCy4Ypp7RRJogCIIgCIIgCOLsRbBT/wzZ9tRhmzdvxl133YVjx47BMAywd7zG4nkeTaQJgiAI\\ngiAIgiAIosodd9yBY8eOYcmSJWhpaXnXx8WmTp06TD0rQxNpgiAIgiAIgiCIs5mhej96ANt6+umn\\n8ZWvfAVXX331GfFO9DuhiTRB9INuLuHDUbT4AwI5PnMYyrHzbIUcDz6UUwYfckwQH3DOsMGqpaUF\\njuO8a0n3mQJNpIkBMzmMMDlMrsDrVuq8zfTDxBgAPfVl53mB1nY/VPKV7TkQWOrK40qGAWjEVWuz\\nKttjDFkhb881ym2NjmOMdpPLeFTraE4MI0yUOC5WHHcoHFf34VyF42reVDmOqk4UcSXDgKlwAqCn\\nNqsqzmMMGaXjspORMZfGeZVjMSGMMEHiuFBpb3oQAhJ91X04R+G4WuhpkcJdtYzNEkWcZzCkeO3O\\nY58xpBSOq+fdCIXjUsVxSxSjJUo+36t9mxqEPaV8+qN6zOb4csdVdwsV7rimY99gcGro2GMMliKu\\naBgoGQwNXM/xuCjGOInj6vk5JYgwJUg+36vtzVY4ruaA+aqcUrnmWaxwHBgMqVjtOBzAeWxoxHkG\\nQ53CcTVvj4lijJE4ruZtGhvf0d4gjI0EQQwiQz2J1tje+eefj40bN6KhoQGTJ0+GbfctvVlfX4+x\\nY8cOUgfV0ESaGDCTJBcKVbhmnG57phBacaFmeyXG0BzL40xRvkhNC/kvPSUExkQxHEUcNPumG1dr\\nxwb0HMea7XlgGMXVjpmIkVZkU3uYHOvGCc04VmPHPhiaFI4BIB0xpJSOoe14dBwjx4f2WOg61j2P\\ndX8/ARgaNRw7YLBjuRNLlGu7ZxSO01xgdBQjd4bmFKYZV+u8bTOGsQrHunk7zQWaoxjZM9Sxbntn\\n29hIEMQgId7x51BtT0E+n8fDDz+MZ599FlOnTkVDQ0Ofp9PLli3DDTfc8P+zd+ZBcpTn/f++3T0z\\n3XPsrrS7Wt3X6kASKwkJIYSQJcR92+JwQlzGoiplx3H5TuKK+SN2Oa5fWXZSieNUfMSyE5NgxwaE\\nMAZjwQokBEKAQGAZAULX6lztandnpu9+f3/MzGpXbL/vuzB7gJ5PFRbWPLz99md6nrffPt5niDop\\nhybSxKD5Q8ZCl67Ffj7dC7Cy6GBzLt175Xog5jseFroeHqzJ9N6tG4iLbRdT/QAP1IiLrn+kYMOK\\nOB6qSUMT/ECv7SnC1hgeyYrj1nUXcNzQ8YKVQtxeJDjHbd0FHEgYeN1MxsZlowi3dhexPW3iuKHH\\nbrMhCHFd3saTGQudAsdT/QCrCg5+l7V673IMxAWuj8W2i4dqMoi/1l+6gzfTC/AbiePLCw5yUYTf\\n5tKI3ypwTU8RHmPYnJM7PmnoeD4d79jgHOu6CziUMLBH4DgdcXy0u4Ad6RTaDCM2bmwY4oYeG09l\\nLHQIHE/2A6wpOHgsa/XeiR2IOa6PpbaLTTUZiE4FF9suZis4vqzgYEwU4cFcOnYfAOCqvI0IwMMS\\nxzd1F9FuaNiRNmPb0wDc1lXAkYSBVwSOrbLjt5IJvJlMxMaNCSPc2FPE1rSJdsHxPtEPsLbg4PdZ\\nCz0Cx7M8H8uKLjblMggEUhY6Hua6Ph6oyQjH6EuLDhqCCJtrxI7X5m1oADZJHN/YU0SnpmFb1oyN\\nYwBu7yqgzdDxsiCnpDjHuq4C9icTeCMV77g2jHBzTxFPp02cEjgeH4S4Km/jiayFboHjmZ6PS4su\\nHs5l4AukXOh4mK+Qty8pupgcyPP2mryNJJfn7et7iujRNPxW4BgoOT5q6HhR4DhZdvxOMoG9Ase5\\nKMIt3UVsS5s4IXA8LghxTd6msbEPQzI2xneJIIhqMMoe6waArq4uLF68GAAQBAE6Ojr6fZ7P50ei\\nW73QRJoYNAnOESo8ZZXkvPdxQRE65/AV4gAobZdXIU7vk0xE73olFOMqmJGaO1XHOtT2Vecc3ihz\\nrCm6M96DY5W4pKJjg6s7dhUcM0A4GazAoba/IsdM0Z3qd9GXkXCcGOWORXHKx/Egv4uUsmP13OMo\\nONYU83Y1HEPRsWreHirHNDaeZajGRoIghphRdkf6Rz/60dD2430iuqlEEARBEARBEARBEMQ50B1p\\ngiAIgiAIgiCI8xWO0iqRfJgeDYnZVltbG/75n/8Z//AP/4BsNouvfOUr6O7ujm1mxYoVuOeee4ay\\np0JoIk0QBEEQBEEQBEGMKJxzeJ4HXl6k0PM8uG78yv9BMLILFdJEmiAIgiAIgiAI4jyFobTmBxvG\\nd6QHuvfd2NiIz3/+80in0wCAL3zhC8LJcm1t7RB1UA2aSBMEQRAEQRAEQRAjSiqVwqxZs3r/f99/\\nH43QRJp4T6hesRq2OKYQM4i4vh+J4sI+JUyqEecrxvVlRBwD8SsujphjtfZUHbsj8V2cc3n2fR/v\\nKm0B/UrskON3x1Wjb6rHu6q7QDHOI8fvQtXdqHasGvchHBsJghgiOIZ31e6YbeXzeeXVuufPn4/r\\nrhu54niMVx5Cj2Hjxo1Yv379cPWHGOW0bt2KTU8/LYwpaBomBgG6BDVLAcDRGBrCEHkmjvMYQ5ZH\\n8IQVXwFXY0hF8gwQMQhrZFZIgMOXbBMolUZxFQb5bBQhL3GiGlfQNIwLAmF9YwCwNYbGIJS25zGG\\nmiiCI9kPR2MwFRyHrH+ZlDhUHSc5F9ZdrZCJIqkToLrfha0xjAtCYR1koDRprIsi2JL9sDUGS8Fx\\nwBgMcfoeFKqOR+J4L2oMTSqONYa6UO64qDGkFRz7jCGh4phB6eRjtDseH4TCWtNAKQeMDUMUJXm7\\noGkYE4XSvO0xhqSCY87UJpUJzpUmXSOVt2lsfDeqjm/8yEdw1erV8g4SBKGM4zi499578eNdz2PM\\nLTeCJRLDsl3u+zjz6O/xiQvmY8OGDbAsq/ez48ePY8WKFaitrcXs2bORSCTAYnLJqlWr8JnPfGZI\\n+qgyB6Y70sSgOZLUpSf6jsZwKGkgE0XCuGzEcNqQD6CpkOG0Lo5LcA5fZ9KBuyaM0G1oCCXbnBCE\\nOJnQoUtO8qb5Ad5JGEhJ4mq9CMcSuvSksc6LlBwbgJJjV1NzbHJ5nM6BUId0wp0LI+R1TVrLd0IQ\\not3QwSSzkCl+gAMKjmu8SMlJnRehLalLLwrUKbbnKDq2FBwzDnAd0slgJuIoahp8ieP6IEK7oUlP\\neyf7IY4ndOnEcboX4M1UQs1xQoepcLwfThpIV8lxWjGnMJQmjyKsiMPRNHgSeWPDCJ2GJp1LD8bx\\n26kELAXHRxO69HdRcqxLLx6oOs4oOva4PG+nolKNe1nerivnbbERYJIfok0lbys6rh2EYxob+1Pt\\nsZFOWInRzDvvvIPXXnsNbW1tcF0Xpmli+vTpWLRoEcaPH49CoYCdO3fiwIED6O7uRiKRwMSJE3Hx\\nxRdj/PjxMIzSER5FEdra2rBr1y4cOXIEuq5j5syZuPzyy5HNZnu353keXnzxRezduxf5fB719fVY\\nvHgx5s6d29vWBxVd1zF16lQcO3YMp0+fxgUXXID58+dj/PjxSCaT/WKnTJkyQr0s8cE2TYwIRwwD\\nJxJ67OfNboCZXoD9SQNdggG+xfYwjQfYmU4J79IsL7pIcI5n0yYiwXnAFXkbqYhjS40VHwTghu4i\\nNM6xNRsfp3NgXXcBEYAdGTM2zow4pvkBHMbwQjoVG1cbRpjpBTit63g7Ff+za/JDNHsBjhoGjgkc\\nz/BKjt9JGjgjcLzA8THNC/BCOiU8iVpWdJFUcLw678CMOP4gcXx9dxE652gVONY4cJuC41TEMcUP\\n4Ekc50KOGV6AvMbwshXfXmNQcnzMMNAmcDzNC9DsBTiYMNAhOKGd5/iYruB4adFFinPsSJv9HpE+\\nl1V5B1bZsei08toeGwbneErgmHHglu4iAGCbwHGCA5O7CvAYw/MCx9mQY7oXoChx3BBEaPYCnDB0\\nHE7GH+9Tyo4PJQy0CxzPdUuOX7RSsAWT34tsD0ke4rm0KbyIs7JQcvxE1hJW+ri6x0aCczwpcXxz\\nTxHgwLZsvBODA7d3FRAAeF7wXaSjsmPG8KIgbmzZ8UlDx0GB40nlnHI4YeCUEX+8z3Z9zPACvGSl\\nhBcYFtkepvAAz6dTwju/KwqlnLI9bQodX9ljIynL2xy4qacIJnGs93EsyilWxDHNK+VtkeO6ct5u\\nN3S8I3A8oeyYxsazDMXYSBCjmYMHD+K5557DkSNHEEURfN9HMpnEW2+9hU984hPo6urCL37xC3ie\\nhyiKoGkaCoUC3nrrLdxxxx2YNm0agFL5p4ceeghbtmxBIpEA5xxPPfUUTp8+jbvuuqv3zuz27dvx\\nv//7v2hvb4dhGPA8D6+//jruvPNOLF68eCRVvG9yuRz+9m//Fs8//zwOHDgAAOjo6MDYsWMxdepU\\nzJw5E2PGjIGux+fb4YIm0sSIo3EMvHTfOdAbUu+dqjtWbO98QifHQ47K6wIAaXs/qDoeTE4Zrlfu\\nPmzQ2EgQHxwmT56Mj33sY6itrUUmk0FbWxvuu+8+3H///VixYgWampowc+ZMrFmzBlOnToXjOPj5\\nz3+OX/7yl5g9ezYmTZoExhi2b9+ORx99FC0tLbj77ruRz+fx85//HN/5zndw5ZVXYty4cbBtGz/6\\n0Y/gui4++clPYt68eXjyySfxyCOPIJVK4YILLoBpxl/oGu2Ypokbb7wRN954I95++20888wz2L59\\nO15//XWMGzcOF1xwAT7ykY9gwYIF0BReCxlKaCJNEARBEARBEATxHjl3dekxY8Zg8eLF2LlzJzo6\\nOrBkyRJ8/etf7xdz55134vHHH8fJkyfheR5838drr72GRCKBv/iLv8CCBQsQBAESiQQeeOABPPPM\\nM7j11lvx1ltvYc+ePfjyl7+MtWvXoqamBnV1ddi/fz9effVVHDly5L2tdj0Kr3o2NzejubkZt956\\nK7Zs2YL77rsPmzdvRldXF+bMmYNUKv6Jl+FgZKfxBEEQBEEQBEEQH3B838fRo0fx+uuvo7W1FTt3\\n7sSUKVNwwQUXvCuWc462tjbouo7a2lokEgmcOHECx48fR2NjI+bMmQMAMAwD48aNw/Tp07F7926E\\nYYi9e/dC13U0NzejpqYGANDU1ISpU6eiWCz2Pg49EJxzRFHU+08YhqisO923lvRw/CMjCAKcPn0a\\n+/fvx7Zt2/Diiy+iq6sLc+fOxaxZs+jRboIgCIIgCIIgiA867e3t+N73vodf/vKXCIIAS5YswVe/\\n+lVMmDBhwNif/exnmDVrVu/K1MViEbZto66urt8q1rquo66uDu3t7eCco6OjA+l0GolzVtg2TRO6\\nrqOnpye2j11dXejs7EQQBABKq3afOXNmVN2NjqIInZ2daGtrw6OPPorHHnsMnZ2duOyyy/C1r30N\\nl1xyCerq6ka6mwBoIk0QBEEQBEEQBPG+aGxsxN/93d/hnnvuwd69e/Gb3/wG3/3udzFt2jQ0Nzf3\\nxjmOg7//+7/HkSNH8O1vfxstLS29n8WVeeKc974PzBgbMK73zrJgkcJf/OIX+N73voejR4/2/jdR\\nFCGz8rJSnUHR6pDVRLCdjo4O3HXXXdi+fTtWrVqFu+++G9dddx3q6+t79833fQCApmkjemeaJtIE\\nQRAEQRAEQRDvA8Mw0NjYiIaGBsydOxe1tbX413/9VzzwwAP4m7/5GwClslV//dd/jT179mDDhg1Y\\nvnx5b7mqbDYLy7JQLBZRKBSQyWQAAGEYoqOjA8uXLwdjDPX19ejp6YHnef22b9s2wjDsfdx7INav\\nX4877rgDYVhaCd9xHHznO9/B/+7941AoeU+4rovW1lY0NDTg+PHj+I//+A/85Cc/GfACwXXXXYd7\\n7713BHpZgibSxHuiNoyvgdm3rq0ozimXWElxjlQY/0xJpRRLVlB3M1Dcpmpc35Ij4vbU4vpSjfb6\\nlgASxVXKMSU5R7KajqvwXVTbMYdaXKjYnqPouLIfCc5RK3Bc+c5E9WP7uqupguO+BWPEv1m1fY0U\\nHUeK/XMH6ViH2HHlOxPVpB4px6rHe6R6vFf5d1aJ0xQdm5zDVMgpuWrkbajFqe6rag7oSzV+P0XF\\n453GRnF7BDGaqdwt1jQNhmEgiiLYtg3OObq7u/HVr34Vr7zyCjZs2IBly5b1WyxrwoQJmDhxInbt\\n2oW9e/fi4osvRhAEOH78ON555x1cfPHFMAwDLS0t4JzjjTfewOLFi1FXV4ejR4/iwIEDyGaz/e5+\\nn0s6ne732LjjOL0TdnAM7yPeMdvKZrP43Oc+B13XpatyV94lHykYrzwHEMPGjRuxfv364eoPMcpp\\n3boVra2tVWtPtcJPCED24IbLGFLiwxlA6aQnoRAXMrVSMKr7oFoGptrlYlT7F0G++uBod6zKSJXk\\nUXHsMAazqo4ZdIU4lb4B1T/eq43qfgSQX0n2GENSwV3AGIzzyPFI5G1yPDDn09i4Zs0arFm9WiGS\\nIIaf3/3ud2CMYdasWUgkEti/fz/uv/9+7NmzB9/4xjewcOFCfPOb38SWLVvwjW98AytWrEA6nQZj\\nDJZl9Zar2rRpE3784x9j2rRp+Mu//Ev09PTgRz/6Efbt24cnnngCtbW18DwPn/nMZ3Ds2DF88pOf\\nREtLCx577DE88cQTWLt2Lb7yla+86/3pOBzHwb333osfv7ATY2+6EUzxv3u/cN9H52OP4xPz5mPD\\nhg39JvdhGOLkyZNK7aTTadTW1g5JH1XmwHRHmhg0T2Us4WDLAKwsOngia8GK4uMyUYSFroetaUt4\\nstoYhpjqB9ieNmEK2pvm++BgOJQQH9YXuB46dR0nDHHcUsfFn8wkCpIr4StsB7vMVL+7EgNxedHB\\n9rQpPWFYVXTQmrGkJ42XKzi2OMdi28XWjNhxfRhiphfgmYzY8RQ/gA7ggMTxXNdDt67jmILj/ckE\\nOnXxqe9y28FuM9V7hz2OlUUHzyo63pqxpBPMVWXHIicpzrHUdtEqcTwmDDG77DglaG+SHyAJYG8q\\nIdzubM9HQWM4KnHc4ng4mjRwWvIO0SW2i1fMpNTxZUUHz6XNfndiB6Lk2JSecK8qOvhD1hI6SYBj\\nWbF0HItyT20UYa7rSx1PCAI0BBFeSKeEjps9H67GcETi+ELXw3HdQLshd7zHTMKuouNnMqZ09dNV\\nRQdbshaSgn3VwXFp0cUT2bTwjn4uijDf9fB02hJOzpqCEJMDed6e4fkIGMNhSU6Z73po1w2clDhe\\nZrt4TcHxiqKDXWkTvjCqlGdVHT9JY2M/qj02rpF8ThAjyeHDh7FlyxZ0dnYiiiKYpomJEyfic5/7\\nHC666CLs378fv/rVr5DP5/Hd736338Txnnvuwc0334z6+nqsXLkS3d3dePDBB/HlL38ZjDE0NTXh\\nW9/6Fmpra8EYQyqVwuc//3n87Gc/w8aNG+F5HizLwpo1a3D77bcrT6L7wTH8d6Rj0HV9wAXaRiM0\\nkSYGjceAw8n4Q6fZLT2IV9QYjiXiT3pa7NK7He2G1u8x2nNpLJZOJ08YOkLBeDzN95GOIuxPyU8W\\nTM6FcTovnSykowh70vE16syIA3bp0ek3zPjE1feRNdF2m/zSvvoMOCRwPMMrObYljhc4pdPE04bW\\n73Hwc6lXdDzFD0qOk4bwVsNc14MZiR1rZcdJyXeR6uN4r8BxrvwIpAaON1PxcY1BaV8DBhwUOJ5W\\nduwwhqOpeMfzyo47DK3fo5vnsrSP40DgbpIfIBNFOGbowjU/Zns+LIljxksTaZnjBC9N8kyJ46yi\\n44agdLxHAA4Ktjul7NhlDG0Cx3PdkuNOXUNej5dyUTmnnDT0fq+YnMuE8mqlMsfNio4vdD2kJI6N\\niuMowuuCnJIuT4gMzvGm4LsYq+h4UjmnuAw4IoibXXZc0BiOCyZci/rkbVdwvDeVf2fHDb3fo/7n\\nMsNTyNu8NJGWOdZ5aSKdlji2+jgW5e06xbw9oeyYxsazDNXYSBCjlbVr16K5uRk9PT2IogiWZaGp\\nqQkzZsxAbW0tOOf4wQ9+MOB/u2DBAqTTaQClBcuuv/56NDc349SpU9A0DRMmTEBLS0u/d4QvvPBC\\nfPrTn8bBgwdh2zZqamowa9YsTJkyZVj2930TM2E/fvw4/vM//xNf/OIXzz5yLuGNN95Aa2sr/uzP\\n/mzI7k7HQRNpgiAIgiAIgiCI98isWbMwa9as2M8bGxtx5513StthjGHcuHEYN26cMC6RSGD+/PmY\\nP3/+oPsq3P4w3ZHmvf/Tn87OTtx333249dZbUVdXJ1yBvMLu3bvxyCOP4Oabb6aJNEEQBEEQBEEQ\\nBDE8MAzfJBrlbQ00RQ7DEIcOHcKGDRv6LcQm4siRIzhz5gwiwWtJQwVNpAmCIAiCIAiCIM5XRsG7\\n0QAwZswY/Pmf/zkYY5Csh93LpEmTsHLlSuVHwasJTaQJgiAIgiAIgiDOZ4ZzsbGY7YwfPx7/7//9\\nv0E3ZxgGcrnc++zU4KGJNEEQBEEQBEEQBDGi6LqO+vr6ke6GMjSRJghiRBglTxERBEEQBEEQw31H\\n+kNwIkgTaWLQ1IVRv7Ig5xKVV9gb74cYLyhZEZbjKmWG4nDKcbNcccVPjzFY4JjriOMqZaBEcX1L\\nRYniHMU4r7wPBhf3r9JeTRihRuC44q7JD4VlQSotTJU4dgfhGDhbjigOR2PQuNgJgN46pNV0LNtu\\n5bvNhhHmChwH5fYag7C3ZNZAVMaBKRLHlf41KzqeI3PMGJKS4wlAb0muajjurTEtdVyqC56OxP2r\\n1JetD0LUCxxXViSZ5AcQFf6ttDdT4q6oaQAiqWOXMVhVcqyaU1zFuGLZsSlx7JXbGxtEvSWzBqJS\\nBmyixHHldzFdcrxX9ne2gmOV43gk83ZS4rjyndHY2KdvQzQ2EgRBjCZoIk0MCo5SnU4VVOKYYpzq\\ndgOmFucyhkm+OI4BmOwHmB3JL5ktcjxpDKDWt0gxTrW9kXLsMYYJgdyxxTmaPbFjjlI9ZBWq6VjV\\nSbUduxpTivMZQ5PEMVA6CZ0hOSnnABZ8CBxDMc5j6o6XKTh2GcM0X+54nmTSU2FpFfe12nm72tv1\\nB5G3p0gcR5Bf6Ktw0Sh2TGMjQRDE6Icm0sSgYAB+m0v33vkZiKYgxMqig001GeFTGzM8HwtdDw/W\\nZKAJAhe4Hqb6AR7OZZAQrOC3zHZgRRxPZS3ogvY+UrBhawzPpU1h3PX5Io4kDLxqJoVxt/YUsNNK\\n4ZgR/3PSwXFrdxFbMxY6dS02LhNFuC5v45Fc+uzdvwFoDEOsKjh4uCYD0WL/0/wAi20XD9VmhGUN\\n5rkeZnoBHqoRO15qu8hFEX6fTSMpiFtVsOExhmczNl3NNwAAIABJREFUcsdHDQO7LbHjm3sKeNFK\\n4ajAMQPw0e4CnsmYOK3rsXEWj3BDj9xxfRhiTcHB5poMBPdKMcUPsNR28aDE8VzXw+yyY0Pg7iLb\\nxZgowsO14u9iZdFBBGCbxPGVeRvthoaXrJQw7qaeInZbSRwROAZKjrdlTLQLHJuc48aeIh7NpWEL\\nHI8JQ6wtOHikJgPR9GhSEGBZ0cVDNeIVOWd7Pua6PjbVZKAL3C1yXDQEETZJjvcVRQcagKcljtcW\\nbHRqGnal5Y5fMZM4nJA7fjZt4qQR7zjJOW7uKeLJrIVuLT6n1EYRrsrb+G1NGv6AxUZKTAgCXFp0\\npXm72fMx3/XwUE1GuK8tjofJgTxvLy86SHKOVkneXlOw0aNp2ClxfGPZ8f6kIc7b3QU8lzZxQuDY\\nAMct3UW0Zi2cETjORRGuyds0Np5DtcfGtfGbIgji/cLLJalGeLGxDxo0kSYGTZJzdBrxA15T+YxY\\nA0eXYGCsEAEo6vLHtgLW/7HHOGzFR8BEcX1PDkRxZvmKvBlx5AX7UBuW4pJcHJcpz4qTnOO0wHFj\\neWangaNb5Lh8YyYCYFfRscfOPjIqQuROU3ScKju2JI5zio6t8vFpShzXlx3rnKNLEFdxzAEUFB2r\\nPKboVeF4Z4qOE+U4meNs2XFK4tgMKr+LCKeS8cPMmLJjg3OcETnuM8sWbbc3nKnlgeF0bJTj0lEk\\n3Id0pOZ4bNlxQhJXG1W2L87bg3WsmlP8auRtRcd6H8eiOKuStyXu6kI1x7k+eZvGxhJDNTYSBEGM\\nJmgiTRAEQRAEQRAEcT7D2dkFM4ac+G2dOnUKt99+O1ifJ3z+7d/+DRdeeOEw9U0dmkgTBEEQBEEQ\\nBEEQw4Pg0e5MJoP169f3+7tx48YNcYfeGzSRJgiCIAiCIAiCOJ8ZJSWpTNPELbfc0u/vampqRqg3\\nYmgiTRAEQRAEQRAEcb4y3BPomO35vo9jx4696+/z+bywuVQqhcbGRmiChSGHAppIEwRBEARBEARB\\nnOcM16rdvPd/+nP8+HF87WtfA2MMXFCN4Fyam5vxpS99CWPHjq1aH1WgiTRBDECkuNaCalwgKIly\\nvqK6noWq45AUvxtFJ6pDFTkegBFyfF7llCo7prz93qGxkSA+nDAMY+mr8rYG+vV3dXVh8+bN+MQn\\nPgHLsvotODYQnHMcOHAAW7Zswac//WmaSBOjn/muh/lu/OdO+aBfYguCABTLj1+sKDrCuEpdzo8U\\nbKX+XZEXx1UGblmcwxjSUSSN8xhDQxhK41zGMNX3MdX3Y2MqTi5wPVwgclwuO3KRxHGh3N6lEsee\\nomNeTntXSOIG49jkao7HKjqe7AeY7MdXJa44meN6mKPgeJEjdlxxt1ziuFKzepXEXVR2vEYSF7LS\\nQCR1ojEkOZfG+QyoU3Q80Q8wUcHxLM/HLC/+eK+Uz2lRdLzMFjt2ytu9XOpOzXHESmXaVI5PA2qO\\naxRyissYxgcBxudF1bVLv5+Zno+ZAseVnHKh40m3CQAXSxzb5fYukxzvlRywWpZTGAAFxz5j0BQd\\nZxXz9rggwDiJY5cxTPd8TFdwTGNjf4ZibCQI4sONYRiYPXs2vvKVryhPirdt24af//zn0HV9iHv3\\nbmgiTQwKH2drcMZhgcNnTB4XhXBU4sARKGz3bLsqcQyG5JERk3PkocGKxAUsk5xD46W6ryJSnIOj\\ndAIShxWF8JTcDcKxpubYZyruODjUHIeMQZfEDYVjSPo3GMdKceAIFOM8RccR1BxHjCEhiUtwwNdZ\\nbz1uUZzOS65FqDoGShcFMsLjvcqOo1DdsVIcwBW2awDwwaTH52AcM5ytxRuHybmCY8XjfRB5W6U9\\nVDlvaygdTwkFxzInQOk7UHFc1bxNY+OAqDomCGKIGc7FxmK2U19fj0996lOYOHEi0um0UlMLFizA\\nRz/6UWSz2Sp2UA2aSBODIgFgR9pEpxF/dbjZDbCy6GBr1uq9MzUQLbaHha6HTTUZBIInN5YXXUz1\\nAzxUkxb+vq/I27AijkdrxD+8G7qL8Bnw+1x8nM6Bdd0FFDWGp7LxcWbEcVt3AScNHXusZGxcbRjh\\n1u4iDicMvJ2K/9k1+SGuy9t4Pm3htMDxDC/AqoKDp7MW8gLHCxwfi20Xj9Sle+84DcSyoouZXoAH\\na8WOV+cd5KIIv5U4vr67iADA44I4jQO3dRfgMIanBHGpiGNddwHtho5XBI5zIcdHuws4kjDwZioR\\nG9cYhLihx8bOtIV2geNpXoA1BQfPZCz06PFx8xwfS20XW3Jix0uLLmZ7AR6qTUN0+rkq72BM2bHo\\nu7i2x0YE4DGBO8aBW7qLcBjDlhorNi7Bgdu6Cjht6HhZ4Dhbdnw0YeANgeOGIMKNPUXsTxo4nIw/\\n3qd4AdYWHGzPWOgSOJ7r+lhWdPFUNt17F3sgLrI9zHV9bKpNQ3TavbLgoCGI8IjkeL+6x4YG8XHM\\nOHBzTxEeY9iSi3dscOD2rgI6dQ0vplOxcemIY11XAccMA3vNeMdjgwg39xRxIGngoMDxJD/EVXkb\\nz2YsnBE4nu36uLToojWbRlHgeJHtYb7r4aGajPAx9BUFF5MDed6+ssdGknP8TpRTOHBT2fETAsd6\\n2XFRY9gqyNtW2fEJw8DrAsd1YYRbuos4mDTwjsDxBD/ENXkbO9IWjY1lhmJsvF3Ye4Ig3hejYLVu\\nAGhsbMTnP//5Qf03zc3NaG5uHqIeiaGJNDFoZHdTKhiKP0qDc6X3pDR+/ryjWW3HGofSe4bKjhXb\\nG83I7pJUSCg61gfhWOn9wQ+BY1UG5ViB8+k4VkV2J7eCqmOD895H5EUwrr4ewgcdGhsJgvhAw4dx\\nsbGYu9++7+Po0aPK7WSzWdTX11evY4OEJtIEQRAEQRAEQRDEiHLq1Cl85zvfUY5fvnw5PvnJTw5h\\nj8TQRJogCIIgCIIgCOJ8ZhS8I+37Po4cOaLczJw5c6rUofcGTaQJgiAIgiAIgiCIEWXatGnYtGnT\\nSHdDGZpIEwRBEARBEARBnK9wDP8d6VGywNn7gSbSBEEQBEEQBEEQxKhj37592Lp1K95++20UCgVE\\nfUrl0TvSxAcS0Sq7bp/SKXFx5/61SpyG8urTkjhR3/quliyKU22PM/m+AoCvGBcoxrkKcRzoV8am\\nqo7P/Ys+qDruWwKqGo5V3anGeYpx9iAdM8U449y/6EO1HfdFFBeqHp8KTgB1x84Q5ZQPsmNP0bFq\\n7hkqxzriVwKveq5QjIuqnLdV42hsfDfvZWwkCGJoYMO4arfqL/rpp5/GP/7jPyKZTGL//v2oq6uD\\nrus4efIkxo4di0WLFg1pP2UwzsX1GjZu3Ij169cPV3+IUU7r1q34/dat0rgk5/1OkgeiqDHURBEC\\nyc/JZQxpzoV1YQHAZ2onsh4DkgpxGiCs91tBB0eokBISnPc7aYgjxbmwHnEFFccAoCuUqXEYQ0bJ\\nMVMqo6PqmEHtyR5Vx6rlYlQdq8apbNdmDFkFxx5jSmV0XMaUSniFKE1mZOjlWBmqjqt9vCs51hiy\\nkdyxqjuHMZgKcQFTK2mkmlNGyrFKeyXHkfT3WO28rRo32h3T2PhuVB1fs3o11qxerbBlgiBUcRwH\\n9957L/5z+040XH0TtERiWLYb+T5OP/U47lo0Dxs2bIBlWQPG3XPPPUgkErj11lvxT//0T1i6dCmu\\nuuoqvPDCC3jjjTdwww034OMf//iQ9FFlDkx3pIlBs8dMSk9CL3Q8vGIlYUXiuGlegD+aCWQEcQnO\\nMS4I0ZYQH661YQidAx2GeNow3g9wLKFLT3qaPR8HkgnpSco818PeVEI6WbnQ8ZTctTgeXjOT0smU\\nquN5jofdVhJpQZzOOSb4IY4kxY5zYYQU52iXOG7yA5ww9H53awei2fNxIJGQ1kCd63p4I5WQnpIt\\nGITjl60UMpH4dLDF8fCqmZROpuYrOGacY7If4rDEcSaMkOYcpySOG4MQJzW54ylegOMJXXqiOsf1\\nlRzPdzy8bialF1RKjpPC33YlTuU7m694vE/xAqljK4qQizhOShzXByFOazoKEseT/QCHFR2/mUpI\\nLx4NxrGKE1XHCxTbm+oFOCRxnIo4GkJ53h4TlDJsp+S7mOgHOKqQt2e7Pt5ScDzP8bDXTEKvUp5V\\ndayct1357+d8GxuvkbRDEMSHj127duHrX/86Lr/8cvzXf/0Xxo8fj6VLl2Ly5Mn4n//5H7z99tsj\\n2j+aSBODpl3XcCIRPzQ2uwEA4Kiho0vXYuNabA9pHuFgwuj3WOG5LC+6MDnHbjPZ7/Gzc7kibyPJ\\nOV6yksL+3+AHMKMIO7IDX/0CSo8iNns+NM7xQjoVG2dGHPNcDxGAVwTbrQ0jXOh4cBjD62b81b4m\\nP0QLgNO6hmMCxzO8kuNjho4zAscLHB8AcDBhCCdcy4ouLAXHq/NOybGZFD6Xc33Z8fZMvGOt7NiQ\\nOE5FHHMVHOdCjgWOB48Br5vxcY1BiBYHyGsMb6Ti46aVHR83dHQY8Y7nlR0fShj9HqU/l6Vlx6+Y\\nSeGFg1V5BynO8bKZBBfEXdtjIy1xzHhpYmlwjucFjhO8NMkDIPz9ZEOO+WXHewSOG4IILY6HImN4\\nw4o/3qeUHZ8wdLQLHM8t9+2wYSCvx0u5yPZgcY5XzSQCgbuVBQepSO746rLjZySOJ/sBkhHH89l4\\nx0bFMed4SfBdpKOS4wDAHsF3MbaP470Cx5PKOeWkoQkvzswuOz5iGOgROF5ke7B4hD1mQnjhYEWh\\nlLdljq/sUcjbvDSRTkYcOwSOdV7aD1netiKOeWXHopxS1ydvixxPKDuu5tgIgMbGPjT5Ks/LEATx\\nYSMMQ9TV1SGRSCCbzSKfzyOfz6Ourg4A0NbWNqL9o4k08YGB3pAaesjx0EOOhx5yPPRoHEqiVV/f\\nIN47dLwTBPFhpbm5GW1tbbBtG3PnzsWrr76KBx54AIZhYN++fVRHmiAIgiAIgiAIghghRukVz9tv\\nvx25XA4AsHbtWrS1teHpp59GGIZoamrC6hFeN4Em0gRBEARBEARBEOczHKOujvRtt90G3/eRzWax\\nZMkSMMbw8ssvw/d9LFq0CEuWLBnyroqgiTRBEARBEARBEAQxLMS9ksI5RxieXRMhlUohlSqtxxCG\\nIRYuXIiFCxf2fq5p8etNDAc0kSYIgiAIgiAIgjiPGc460pwPPJkuFovYtWsXmGLt+KamJsydO7e6\\nnRsENJEmCIIgCIIgCIIgRpTDhw/jrrvu6p1IB0GArq4upFIpmKYJTdMQBAGKxSI0TcPdd9+N73//\\n+yPWX5pIE4OGARgvKEVRKYliRRxWFB9XLD+OURdGEBWkdMrtNQbi8hdFTYMVhcK+eX2ucKnsgyyu\\nb2kSUVyg2F5fVNozI47xQseluNowQq1gs66yY4ZcBIwXxI2UY9X2+pbiEcWF5faSnCv1ryaMUKPg\\nuEHi2NYYxkRAUxUcV/u7UG0vGmScIXNcjstGEbKC0t+V/tUrOAbkjguahlwUDatjV/F4D1WP9/Kf\\nOlf7bjNRhIyC4zGyvF3ej3GS76KgaUiGw5u3VR0PNm/T2Ninb0M4NhIEMYSM8KJjU6dOxa9+9ave\\n/79v3z78+7//Oy655BJcfvnlqKurw8GDB/H4448jmUzi9ttvH8HeAoxzLlS2ceNGrF+/frj6Q4xy\\nWrduxdbW1qq1FwFQebshgNpVH48BSUkS8BhDUnzYl7bJSrVfZajuw0ih2r8QQHwF1LP4rFR3WMRI\\nOVasyFN1VLer6ljFi7pjBkMhTtXxSB3vqo6rn1Pknn3GkFBwrPr9n3+O5Xn7w+JYFRob383qNWuw\\nZoRX6CWIDxuO4+Dee+/Ff27bicarboJmxNdzryZR4ON06+P488XzsGHDBljW2fr1faemH//4x7F6\\n9WrccccdaGxs7P18z549uP/++1FbW4uvfe1rQ9JHlTkw3ZEmBs3jWUv4eSbiWFl08GguLTyBbwxC\\nLHQ9bM6lYUbxcdP8AFP9AI9lLOGJ1DzXgxVxPJc2hScDS2wXpw0DBxPiw39V0cFrqQROGOLTsisL\\nNp61TBQ08SnoNXkbrRkLnuRM9dq8jd9nLeFFQYtzrCrIHdeHERbbLh6pSSMlcDzFDzDTC/C7rNjx\\nXNdHLorwrMTxRbaLTt3AgaTc8R9TCRyTOL6iYGO3mUKnLj4tuzpvY2vG7L37G8e1eRtPZC0Ibrwh\\nxTnWlB3rgn0dE0ZYarv4rcTxJD/AbAXHs10fY6II2ySOFzkeejQNf0olhHHLiy4OpwwcNcTfxZqC\\ngz1mEqcljq/K22hVdPyHrCW6oYYE51hbcPC7XBqaYB9qowjLii4ezaWF+zohCDHX9fGExHGz56Mh\\niPBMRuy4xfGgAXjBSgnjLrFdHDUMHJHklDUFB7tTCbRLjver8jaezpiwFRxvyVoIBDF6ub3Hcpbw\\n3bdcFOHSoovf5tJCd01BiPmuh99J8vYML8DkQJ63FzgekpzjecnxfrHt4oRh4LDE8eqCg1dTCZyU\\n5e28jW0Kjq/J23gqa8EXxLByHI2N/an22EhTaIIYQjhGzardfd+P3r17Nz71qU8hl8v1/j1jDBMn\\nTkQymcSBAweGvq8CaCJNDBoO4EQifgBtdkundT6D8ISx8jiawxjOJOJP3qf5pfbO6BpCwUA7zy39\\n2WFIroHbQDqKcFywD3r5x21yLoyrnOSkowhvp5KxcbVhacqW4ByHBJPLpj6Ptom2O8MrOQkkjuvL\\n23UYQ6fA8RRFx3Pd0ulkh66Jb13ZpUdERfugVRxHYseVyWlS8l3kwrNxBwWOK8cdg9jxtLLjEMAp\\nQdyYsmNX4nhS2XGXriEQuJtddtypa/0eQz+XRU7Jseh4r0ycLInjyhMGMsfZsmNT4rghKDnROEeb\\nIG5K2XEE4KRgu7VuqT2PMeH+Tih/t926Bl/grtlTc9zilP6shuPKHbyUxHG6fLybEcc7Zry7sWXH\\nOuc4InA8qZxTIoiP41wfx6cF+1t5HN6W5O1KjurUNUQCxwsUHFdOttISx7qiY6s3b4sd15V/2wbn\\nOCxwPKHsmMbGswzl2EgQxPnDmDFj8OSTT2LhwoWYPHly79//8Y9/xL59+zBp0qQR7B1NpAmCIAiC\\nIAiCIM5bGIZ31W7V7XzmM5/BD37wA7z55pu48MILkcvlcOzYMezevRuNjY247rrrhrajEmgiTRAE\\nQRAEQRAEQYwqbr75ZtTU1GDbtm04cOAAgiBAKpXClVdeidWrV+Oiiy4a0f7RRJogCIIgCIIgCOJ8\\nZrjfkVagoaEBN9xwA+bPn4/29nb4vg/LsjBp0iSMHz8eyWT8qyPDwWhetJIgCIIgCIIgCIIYSkai\\n7JXiNjVNQ7FYREdHB9rb29HV1QXf9/stSjZS0B1pgiAIgiAIgiCI85jhej96MNs6ceIEfvOb32DX\\nrl1wHAeMMXDOMW7cOFxxxRVYs2YNamtrh7azAmgiTRADMML16M8LVB2LVvwlqgMd70MPOR56yPHQ\\nQ44J4sPNcE2mOcTFXyps3rwZv/71rzFnzhy0tLTAsix0dHTg5Zdfxq9//Wuk02lcffXVQ93dWGgi\\nTQyaSUGISUF8KYpKfdlmT1TdFL31Zee7ogqdQFRub5HjCeMcTYMVhVhii+O8cnuyOEchrlIfMyGJ\\ns8txtVEkjKu4mxCEvaV8RO3NlDkutzevSo49jQERsEQWV0XHAGBrGnRJXMVJLuJKjpuCsLeUj6i9\\n6X6A6QJ9frm9CySOUY5bqOj4IklcUdNgSo4nAHA1VccMTBJXcZJRdNwYRmhU+P1M9QNMVXA8xxM7\\nroz/LRJ3Qbk9FcdZFcfKx7E8rliOsbjYceW3Ux9GqBc6Lr3BNcUPMUVQQqiyD7MVHS+QHO8Vx4sV\\n8nYyrF7eHozjlMRxpa0xYYQxgrhK32hsPEtBYyhqWtXHRoIgzi9+8Ytf4LLLLsNf/dVfYfLkyWCM\\nIYoibNu2DT/96U/R2tpKE2nig8Uc2YQBpZMtlThwtTgGrhTnMbX2fAY0leuwxqEDMPwQKS6+PMcA\\nTPaD3vqvIpScKMYpO1aM07iaY38QjhtdBcdc7lgHxxQ/6K3/KqKaTqIqt6fqOFB07DCGeoU4K2JI\\ncXEdVh34UDjWFR2Hiu25jCnFZRgTTqKAkuPJfghLcrxDsW/VjlPNKdqI5W0mvMAIlBxrfgjzA+74\\nwzA2GuBVHxsJghhCRuEjJ0eOHMHy5csxduzY3neiNU3D7NmzMXHiRLS3t49o/2giTQyaJ7IWuvX4\\ndeqmegFWFh08XJPuvZM0EBc4Hha6Hh6szUA0bC+xXUz1AzxYkxE+BnJ5wYYVcWyqTUMTJIOre4qw\\nNYZnMpawvY92F3A0oeNFKxUbp3OO27oLeCdhYK+ZjI1LRxFu7S5iW8bECUOP3ebYIMR1eRt/yFro\\nEjie7AdYVXCwuSbdexdhIOa4PhbbrtTxYtvFTC/Ab2rFji8rOMhFER6qSQtXKryqpwiPMbTmLOF3\\n8dHuAo4bOl5IxzvWOMe67gIOJAy8LnBsRhwf7S5geyaF40Z8aqsLQ9zQY+PJrIVOgeOJfoA1BQeP\\n1KSFd0NmuT6WKjheaLuYXXYs4tKCgzFRhAcljtfmbUQANufEx/sN3UW0GxqeT5vC7/a2rgIOJQzs\\nEThOlR3vyKRwVOC4NoxwY08RT2VMdAiO9/F+gLUFB7+tSffe5RqImZ6PZUUXm2oyCAQ7caHjYa7r\\nSx1fUnTQEER4ROJ4Td6GBuBhiePre4ro1DTsyMgdH0noeEWQUxKcY11XAc+lU2hLxDvOhRFu7ili\\na8ZEu8DxuCDEVXkbj+cs5LX4vZ3u+bhUwfF8x8N818MDtRnhOdfFRReTgwAP1GSEjj+St5Hk8rx9\\nbU8RPZqG7RLH67oKaEvoeFng2Cg7fj6dwuGEERuXiSLc0l3E0xkTpwSOG4IQ1+RtGhv7MBRj4zWC\\nPhEE8T7h5/w5HNtT2Nb48ePxpz/9CQsWLMCkSZNgGAZc18X+/fvR2dmJMWPGDHlXRdBEmhg0Bufw\\nFZ6ySnDe+widCMY5fIU4DghP8CqEAEKFOFFbOq9uXIVUpO5ONa6g4E7jvPcRXxHVdiyK0xTdpRTj\\nzMqfVXacjDjyhjxQr7LjCO/fMVN0l1D9Lsp/qjpOKjpORRw9io5tBccAlLY7nI6NQX4XVpUdq+Zt\\nQ9Ex47z0GoIEDrXvQphTqpyPK99FOuJqebvKjmlsfDeqYyNBEOcXt956K371q18hn89j1apVqK2t\\nxeHDh/Hwww/jzJkzuOaakb3ERhNpgiAIgiAIgiCI85lRWEf6i1/8IgDgpz/9Kf7lX/4FURTBMAxc\\ncskl+OxnP4ubbrppCDsphybSBEEQBEEQBEEQxKgikUjgy1/+Mj796U/j6NGjKBQKaGhoQGNjI0zT\\nhCZ4ZWk4oIk0QRAEQRAEQRDEeQpD6VWl4Sp/xQZx91vXdeRyOcyePRtRFEHTNOh6/JoKwwlNpAmC\\nIAiCIAiCIIhRheM4+L//+z88++yzOHr0KDzPA+9TMeCqq67CV7/61RHrH02kCYIgCIIgCIIgzlc4\\nRuU70t///vfxyCOPYMqUKWhuboZxTsWQKVOmDEHn1KGJNEEMQKS4emggKGHyXuJEpaw+bPAqO1ZZ\\njRaAsOzMhw7FXVU93snxAIyQY9Xfhah02weGKjuudn4/n/I2jY0EQQwnDz30EK688kpce+21aGxs\\nfNcj3blcboR6VoIm0sSgWWq7gB3/ebH84v/KgiNsp3KCtzYvaAyAXW7v2p6iMK4yIN/QLY4DSqVl\\nZHEBgPoglMY5jGGKH2CKHwjjfAbMdT3MdT1hnMeAi2wXFyk4vkzi2CmXTrlC4rig6LgyQbpBEgeU\\nSsaoOB4Tyh17jGGSH2CSguPZro/Zri9pD1hku1gk0FJxcmlRzfEaiePKieA1EneV38X1kjjOGHQF\\nxxEr1XWWOwYm+AEmSBwHDGh2fTQrOG5xPLQ48cd7xfElEseVckwfKag5vlrmWFNzHDEGTcUxgFyk\\n5rhJIacEDJjh+ZjhyR0vcDwsEDiuxC0rusKYiuNVEseV4/NKxbx9ncRxyBgY5Hmbo1TXWRbnM6BR\\nJW9rDNM8H9Mkjn0GzHM8zFNwTGNjf6o9Noq/KYIg3jej8I50oVDAsmXLsHjxYmQymaHt03uAJtLE\\noDlt6EhHUeznDBwuY0q1SD2lOA5HsT2ASWtRWpFandRMyHFK15Dg4l/7mCDCkYQhdAIADSFwRteQ\\nkrTXGA6/Yw2lGp4q7Wlg8CRhZlSqqSzLk5mQo13XYEic1AYR2hIGLInj+kE47jB0YXvaII47teMY\\nyo49MLiSsCQHAo1BbASoCTm6DA26xElNwHEsocOUOB4bAl26hqSSYw1WFB+nlY+QdkNHRrLdajt2\\nNbljo+w4lLSVizh6NK13f+KoCTiOG/LjczCOOw0NpsBxJU7FsWpO8auYtzVeumAhqzWciTgKmgZZ\\nVskFHCcMubsxfoTDKUPqpGEQjmls7E+1x8aEtGcEQXygUJhMX3PNNdi7dy8WLVoEy7JGfJXuc6GJ\\nNDFoDiQMnEjEr5bX7AaY4jvYmU713nEaiBbbw8QgxPaMKXxsa3nRRUMY4JFsWvibuyJvw+Acv8+l\\nhf2vXEV/KmvFxugcWNddgM8YtmXM2Dgz4ritu4AiY3he0F5tGGGKX8QJw8DbqfifXZMfYqpv41DC\\nwDGB4xleyfEL6RTyAscLHB8TfRfPZkzhI57Lii7GBRG2Zizho3ur8w4SPMLjEsfXdxfBOPBkLt6J\\nxoHbugsIwPBMNt5xKuJY112AzRieEzjOhRyT/QJOGTreTMWfcjUGJceHEwbaBI6neQGm+g52WSn0\\n6PGO5zk+Jik4Xlp00RREeDpjCR/fXZV3kCs7Fh3v1/bY0DiwReCYceCW7iJCAE8L3CU4cFtXAQ5j\\n2CGIy4Yck/wC2g0dbwgcNwQRpvpFtBkGDidAqISyAAAgAElEQVTjj/cpXoCpfoj9yQTajXjHc92S\\n4+fSpvBE/yLbQ1MQ4ZmMJZyYrSw4qAkjPF4rdnx1jw2dA3+QOL65p4gIwFaBO4MDt3cV4DKGZwU5\\nJR1xrOsqoEPXsdeMdzy27PioYeCgwPGkck55J2nglBF/vM92fUz2XTyfNlEUOF5kexgfhNiWMYWP\\n8K8ouGjg8rx9ZU8pbz8hyikcuKmnCA6gVZK3b+8qwGMM2wWOrbLjgqZhZzoVG1dXztvHDQPvCBxP\\nKDumsfEsQzE2EgQxhAzjit2A+raSySQ2b96M9vZ2zJgxA6ZpgvXJi83NzVi1atUQ9VIOTaSJIcNQ\\n/JFoHErvwGlc/f3B84VqO1bWq9jeh4GEankGcjzk6IrfBTl+76g6Vs4pXH09hPMFGhsJghitDNdk\\nWnX4bWtrg6Zp2L59O1599dV3TaSvuOIKmkgTBEEQBEEQBEEQI8Qw3pFW5WMf+xgcJ35dienTpw9f\\nZwaAJtIEQRAEQRAEQRDnO8O52JjCtm655ZYh78r7YXS9sU0QBEEQBEEQBEEQoxy6I00QBEEQBEEQ\\nBHGewvjZf4Zrex8G6I40QRAEQRAEQRAEQQwCuiNNvCeyYfylpL7lOkRxTrnEisHj4/quRCqqR9s3\\nTrRN1ThfcR8ixfY41NpT3a5qnFOO0yWOi+VSLMqOq/BdqO6Dant9EcUFVXZcKXmlCRwDZx2L6tH2\\n3dfMsDpWi+tLNRw7fUoAqTiWxVVKY6UijriiRiPlWNUJV85lgzs+ZXGqebviOMGBhELeTlfBsWrf\\nVL8LVceRYt5W7R+Nje/mvYyNBEEQowXGOReeNW3cuBHr168frv4Qo5zWrVvxZGurNE4DECm0p7L8\\nva0xpCMuXZPAYwxJ8eEMoHRCayjEcab26AmD2toMqk6qHadKBPkjKi5jSI2AY1Wq/V3oAKpZvVTl\\neFd17DOGhEKc6u9ClWo7Vm1PFRXHjsaEFzQqKDvWGJIK7akyUo5V41QdWyORtxX6BoycYxob342q\\nkyvWrMEVq1crRBIEoYrjOLj33nvxsyd3omnVTdCMxLBsNwp8nHz2cXx8+Txs2LABljVwvfkf//jH\\nuOmmm9DU1AStz8X3IAjw8ssvo6OjA9dee+2Q9FFlDkx3pIlB80zGlJ6ELrddbE+bwsE7yTkWuh6e\\nSYvbq4siTPUDPG+lhFfeJwYBAOCoIT6smz0fXbqOdl0Xxi10PexLJXrv6sZxsePiZTMlnXAtt108\\nnzahSU5ULrVdbMuYSFXBsQFgcbk9keOaKMJML8C2tNjx+CCEAY4jEsczPR89mo5Thtzxm6kEbInj\\nJY6LV80UAmEUcIntYmc6JT3Ju9R2sT1jSic/l9outmYspKP40zwNwFKF7ywbRZjtBXhW4nhcECIF\\njsMSx9P9AEXGcFLi+ALXx5upBIoSxxc5Hl4zk/CFUcAy28UL6ZT0DPlS28WzaVM6Eb3UdvFUxoIl\\ncFzZ7ra0KbzIkOYcc10fO9Ip4fHeEIZIRxyHEmLHU/0AHmM4LnE81/NxMGngjC6+FHWR4+H1VKLf\\nncmBWGa72GWlpJOQS20XO9KmdPJTcmwKjzug9PuR5RSTc8x3PTwrydtjwwhjwhBvJ8UnZZP9ABGT\\n5+3Zno/TuoEOiePFjoe9qUS/O/EDcbHt4iUrJZ3ALbddPJc2oSs4bqWxsR/VHhvXStohCOLDxw9+\\n8AMsWrQIDQ0N/SbSvu9jx44dePvtt4dsIq0CTaSJQeMwhoNm/KHT7JYG7Q5DQ5fgpKfF9gAAJwy9\\n91G2gVhedAEAbQmj3+Nn5zIxH8CKON4wxSduzZ6PJBfH6bx0smByjlesZGycGXFc7LjQOccfBXG1\\nYQTYpavubwq22+SXTjlcxnBA4HiGV3LcaWjCk/cFTmladNLQex/JHIhlio7H58OS41RCeLtkpucj\\nJXGslR1bEcfuTLy7VMSxxHFhcI7XBY5zIQdsFxzAPsF2G4OSY48xvCNwPK3suKAxHBZMBub1cVwU\\nOF5adnw0YSAQuBuXL03y9qUS/R5BPZfpfgBT4pjx0kQ6HUV4OWPGxiV4aZKX4ByvCRxnQ45ldmk/\\nRNttCErTE58B+1PxcVPKjosawyGB47luyXG7oSOvx0u5qJxTjiYM+AJ3DQU1x1MVHc9VyClG2XGS\\nc+wROE5HJccMwJ8E7Y0tOw4Y8LbA8aRyTrE1hkPJ+ON9dh/HPQLHi8qOjxs6XMHxvqLgIsPljif7\\nAUxZ3ualibRK3l7seEhxjlcFjq2I42LbhQZgr6C9unLeDhnwlsDxhLJjGhvPMlRjI0EQQwSHckmq\\nqm1PgZMnT8L3332Jv6OjA8eOHYPneVXu2OCgiTRBEARBEENCtR/dJwiCID7cdHZ24ktf+hIAoKur\\nC9/+9rdRX1/fe0eac44zZ87AcRxcf/31I9lVmkgTBEEQBEEQBEGczzCorTFRrW3FfsYYUqlU778b\\nhgHTNHsn0owxjB07FvPmzcOaNWuGvrMCaCJNEARBEARBEARBDBtxk+lMJoPPfe5zAIB0Oo3rrrsO\\n48eP751Ia5oGy7JQX1+P2traYertwNBEmiAIgiAIgiAI4nxmlLyHk0gk0NLSAgD44he/iHHjxsH3\\nfRSLRQTB2WVne3p6EIYhxo4dO1JdpYk0QRAEQRAEQRDEec9wLjamsK1sNostW7bgrbfeQkdHx7sW\\nHluyZAnuuOOOoemjAjSRJgiCIAiCIAiCOJ8ZxjvSqu9iP/roo/jZz36GMAyRTqf7lcACgHHjxlW/\\nc4OAJtLEoMlEHDNdWUVfoD6IUB/EV+ms1FKdKClrUSz/aCrliOJwGIMFed+KmgYmietbckQU17dW\\nqSjOVmzPL7dnSRxXysmMDaLeMjgDEZTbm1Alxy5jyAGYKYkrahoMPryOi32SqyjOK283pei4LoxK\\nZXBiqDgeL3HslPs3VcExcLbEWRy2xqT7oOx4kMenansJLo6rlOypCSPUCBxH5SF3XBBinEBLpa7t\\nFIk7bxCOZfnO0RgK5e+2Go49RceV71aXOi7F5UKOXBgfV3HcGIRoFGip9G+S5HivxE2X5W2NIRmq\\n5W1AzYksTtVxJW8zieNKDqCx8SxDNTYSBDE0MF5ebGyYJtOSsvG9/PCHP0RLSwvuvvtuzJkzB8lk\\nEqxPPjCMkZ3KMs7Fu7Jx40asX79+uPpDjHJat25Fa2urNE615AmH2lWpEICuEOez0sm7DJcxpCS/\\n4pCVTlJlqO5Dtam24whAfGXTswSsVBNXBjl+N9V27DGGpMRxwBh8Vro4U42+Vfu7GCnH6jmFIaEw\\n4juMwZTEjXbHqozmvD3aHdPY+N5Zs2YN1qxeXcUWCYJwHAf33nsvfv6HnRh/+U3QDHG9+WoRBT5O\\nPPc47rx0HjZs2ADLsgaMmz9/Pr73ve9h9erVSKfTw9K3CipzYLojTQya3+bSCASjY0MQYWXRwaYa\\n8QE/1Quw0PWwqSYDXTBwX+D6mOoHeCSXFk4altgurIhja9aCIYhbWXBgaww706Yw7pq8jT+ZCRxK\\niH8mN/UUsdNK4aQhPp25tbuI1oyFLj1enhlxXJe38dtcGr7A8dgwwqqCg4dr0sKTssl+iMW2i021\\nYsdzXB8zvQAP14gdL7Y95KIIT0kcX1Zw4DGG5zJyx/tSCRxIih3f0FPES1YKxyWOb+ku4umMiTN6\\n/Kl0knPc0GPj0VwansBxXRhhTcHB5po04u8dle4aLbVdPFSbgSbY11muj9llx6KJ2ULbw5gowpNZ\\nS/idXVp0EQF4VuJ4Td5Bu6Fht5USxl3fY+MVK4mjEsc3dxexLWOiQ+A4wYEbe4r4Xc7qd2fqXGrC\\nCGsLDh6pSUN07218EGJZ0cWmmgyY4Iif6QWY6/pSxxc6HhqCCI/nLOGk4ZKiCw3ANonj1QUHnZqG\\nl9Jyx6+aCbRJcsrN3UU8mzbRbsQ71jlwc08Rj+Ws3jvxA5GNOK7K21LH44IQlyo4nu4FmO96eLgm\\nI9zX+Y6PyYE8b19cdJHkHE9LcsqqgoMeTcMuiePremy8ZiZwRJa3u4t4Pm3ilMAxQymn/D5nwRY4\\nTkcc15TzNo2NZ6n22LhG2ApBEO8bxfeWh3NbS5cuRVtbG86cOQPDMN71aDdjDLqucjlxaKCJNDFo\\nDM5xWjAwNvR5ZK1LcLJdIQCQV4jzGOv3GFgcBU2tEp4ornK1PR1x4T6Y5bt8piSutvzYaoJzdAl+\\n8GYU9sa1CxyPDdUcTy4/Ghiiyo4ZA97nd6EpOk4pOs6FpbgkF8c1BmFv3CmB48rj3IwDXYKT7Yl9\\nHPcoOi4qOubv03HfR7REcZU7VTLHWUXHlRyQijhOJuMdVx7n1jjQIXA8vvydRVA7jn1Fxy5j/R5V\\njaMajitPGFgSx+lIzXHllQ4z4jghcJwt5xSdc3QIjvdxZcccQLdi3i4oxLnVyNuKjlXzduXpjJTE\\ncSUHWBHHcYHjdNkxjY1nGaqxkSCI84s777wT3/3ud3Hs2DGsWLECdXV1/SbTY8eOxfTp00esfzSR\\nJgiCIAiCIAiCOJ8ZzjvSinzhC1/A4cOHsXPnTui63u/9aAC466678MMf/nCEekcTaYIgCIIgCIIg\\nCGKU8ctf/hKe58V+Tqt2EwRBEARBEARBfEDZsWMHNm3ahFdeeQWFQgE1NTVYvnw51q1bhwULFsC2\\nbWzduhWbN2/Gvn37cObMGXzrW9/CqlWr+i2iFYYhdu/ejfvuuw8vvfQSkskkVq5cic9+9rNobGzs\\njSsUCrj//vvx6KOP4tSpU5g5cyZuv/12XHXVVTBN8z3tw3Cu2q26nUWLFgk/P/ed6eGGJtIEQRAE\\nQRAEQRDvg1mzZqG5uRmmaeL48eN48cUXcejQIXzzm99ENpvFyZMnkUqlsGTJEvzwhz9EZ2cnwrD/\\n+/8vvfQSNm7ciGPHjmHdunWwbRutra04efIkvv/97/dOHH/yk5/g8ccfR0tLC6688kq8/PLL+O//\\n/m94nod169a9tx0Y5se6VVb1TyaT2LFjB37/+99j//79uPPOO3HFFVfg4MGDOHToEP4/e3ceH1V1\\nv3H8uTOTBbLvG2FPAkgEBJR9R6woCFKg7oAgVG1r1UK12qqtbdGfG1oBBUGpAlJQS92Q1bJDWVyA\\nABKI7AlJyJ7MzP39ETIaScgCmUDm8369Rszk3nvO3CQz88z3nHNbtWql1q1b13lfK0OQBgAAAIBa\\nSkpKUrNmzeTj4yNvb2/l5OTIZrNpyZIlSklJUc+ePdW7d2917txZeXl5euedd847RklJibZs2eIK\\njDfffLMKCgoUHBysZ599VhMnTlRycrLS09P10UcfqWPHjho7dqyaNm2qpKQkzZ07VytXrlT//v0V\\nEhJSswdg/uTfulbNdtauXavXX39dfn5+2rZtm7p27arevXsrPz9fW7du1fHjx+s1SNdvPRy4TFX3\\necRZHxc3biAu9Tl28LOoter+LDjHFajmOeEcX4RLfI553q49zjFQsdDQUMXGxiosLEz+/v6y2Wwq\\nKSmRxWKRn5+fbDabWrRooauuukrR0dEVXrIpIyNDBw4cUGBgoAYOHKiIiAg1adJEffv2dVVm7Xa7\\n9uzZo5MnT6pHjx5q27atwsLCdN111ykpKUlpaWlKTU2t3YNw90Jj1Wjv3XffVXh4uH7+858rNjZW\\nTqdTpmkqNDRUhYWF2rNnT9338wKoSKPGEopLlFBcUun3i8+tqJdcWPniAJJc15ftUlB0we0c57br\\nnl94we2chiHJVK+8C29XdO4yIVVtV2IY8jKrPl6hYSjI6bzgdnkWiwothmLsdsXY7ZVuV3YJk1bF\\nJWp1gXNcdu7aV3GOC84NAep8yc5x6b+9qtiu2GJIZtXnuNgwZK3Oz8wwFFDFOZakQouhKLtDUfbK\\nL5VSdlmkFsUlalGNc9yuqFi6wOkrO8fXVHGOS84dr1sV564sNPSs6hwbhmzV+P3MtxgyVL2fhV81\\nz3GE3eG6jFjFbZaek2YldjUrqfz3vez6x22qOMd5547XsbB65/i6Ks5d2Wt3VefYbhjyrsY5Lqjm\\nc0qRYahRdZ5TLIbCHA71yqv8HJedk/gSu+IvdI7P9S2pqERJRZX/vpcdr0MV57js76JrFb/v5rlf\\n5B6X6BwXVvMcFxuGfKpxvCKLoZBqnuO4ErviLnCOy37+vDaWVxevjcDl7OzZs1q9erV27NihzMxM\\nZWRk6MYbb6x2xfTMmTPKzMxUcHCwYmNjJZXOAQ4MDFRsbKwOHDggp9Op1NRU+fj4KDIy0jUf2t/f\\nX+Hh4XI4HDpx4kSlbTgcDjkcDpnnrhVfVFQk+wX+9urbpk2b9OSTT6pnz56aM2eO6/6AgADZbDal\\np6fXY+8I0qihfn37ql/fvvXdDQAAAOCy4XA4lJWVpSNHjujMmTMyTVN+fn7nXbKpMsXFxSopKZGf\\nn5+8vLxc9xuGoUaNGik3N1emaSo/P18+Pj7nVbW9vLxkGIYKCyv/8GrHjh3atGmTcnNzJZUOJ9++\\nfbsko7qDfy6J6i425nQ6ZbFYzjuH2dnZysvLq/XCapcKQRoAAAAALkJQUJBGjBihgQMH6tixY1q+\\nfLk+++wztW/fXgMGDKhyf5vNJpvNJrvdLrvdLputNKaZpqnCwkLX6t6+vr4qKSk5b6Eyu90u0zTl\\n7e1daRvp6enas2ePMjMzJZWG//T0dBneEZLpvlW7q9tMt27dtH79esXGxio/P185OTn67rvvtGXL\\nFp0+fVo9evSo035WhSANAAAAABehbBh2YGCgmjRpovz8fO3YsUMbN26sVpAOCQlRUFCQTp8+rdOn\\nTysmJsZVgT558qSaNWsmq9WqJk2aqKCgQFlZWSopKZGXl5cKCgqUmZkpi8VS7jJZPzVo0CD17dvX\\nNbS7sLBQTz31lN5bs+OSnYdqqWaSvvPOOzVjxgwtWrRIhw8fls1m04kTJ3T48GElJiaqbz2PkiVI\\nAwAAAEAtlc3Vbdy4sQzDUEFBgY4fP66ioiIFBATINE3Z7XYVFxcrPz9fpmmqqKhI+fn58vb2lpeX\\nlyIiItSiRQvt379fGzZs0ODBg1VUVKT//e9/ys7OVrdu3WS1WtWuXTsFBQVp27ZtSkpKUkxMjPbs\\n2aMDBw4oKipKLVu2rLSfZVXvMhaLpXQYuakfbpeRPn36yG63a/HixQoLC9Px48eVn5+v3r1769Zb\\nb1VSUlK99o8gDQAAAAC19MknnygnJ0fNmjWTt7e3UlNTtWLFCvn4+Khfv35yOBxKS0vT7t27lZ6e\\nrqKiIn311Vfy8fFRq1atlJCQoODgYHXp0kXbt2/XP//5TxUXFys3N1eLFy9W79691bVrV1dFesiQ\\nIVqzZo28vLzUpk0brV27VqdOndKYMWMUHh5e36ejajUI7QMGDNCAAQOUm5ur4uJiNW7cuN7nRpch\\nSAMAAABALZWUlGj58uXav3+/HA6HoqOj1bdvX/3iF7/Q1VdfrdzcXK1evVrTpk1z7TN//nzNnz9f\\nw4cP14MPPqjg4GD16NFDFotFM2fO1BNPPCFvb28NGjRIv//978stLvbQQw/Jz89PS5Ys0Zw5c5SY\\nmKhx48Zp+PDhtX4MhhvnSBuq3pUNTdNUQUGBiouLXZe+ysvLU15eniTJx8dH/v7+ddrXCyFIAwAA\\nAEAtjR8/XuPHj6/0+/7+/powYYImTJhwweNYrVb17NlTPXv2vOB2AQEBevjhh/Xwww/Xqr9XiszM\\nTL388sv6/PPPdeTIERUVFbnmd0vS2LFj9dprr9Vb/wjSAAAAAOCp3D1Huprt/O53v9P27dvVp08f\\njR07Vt7e3uUuhZWYmFhHHawegjQAAAAA4LKyceNGPfLIIxo0aJCCgoLOu570j6+3XR8I0gAAAADg\\n6dxZka5GWxEREQoNDVVISEi9zoWuDEEaAAAAADzZZXbpK0n65S9/qbVr16pRo0bq0KGD/P39y1Wl\\nbTabvL29661/BGkAAAAA8GCG3LhqdzXb6dChgxYuXKi///3vCgwMdM2RLltwrG/fvvrlL39Zhz29\\nMII0AAAAAHgqdy40VgMffPCBsrOzFRkZqbCwMNls5aNrUFBQPfWsFEEaAAAAAOAe1QzuS5Ys0aBB\\ngzR06FDFxMTIarWWG9rt5+dXd32sBoI0AAAAAHiyy7Qq3a1bN3Xs2JHFxgAAAAAAlw/j3M1t7ZlS\\ndVJ7nz59tHv3bsXExKhZs2bnXUfa29tbjRs3rruOVoEgDQAAAACeypRkmjJM95SkTZnVCu7h4eF6\\n7733dPDgQbVr1+68VbuTkpI0YMCAuutoFQjSAAAAAIDLyqpVq2S1WrVr1y7t2rVLksoF6Ztuuokg\\nDQAAAADwANWcj/3OO+/I4XBU+v36HNYtEaQBAAAAwLNdhouNRUdHq6SkREVFRXI4HPL19ZW3t7cc\\nDoccDsd5l8NyN0u9tg4AAAAAQAU++eQT3XPPPerSpYvmzZun3Nxcbdu2Te+++65ruHd9IUgDAAAA\\ngAczTPfeqmPhwoV6+umnFRkZqUaNGqmoqEhOp1M+Pj7av3+/Vq9eXbcnpQoM7QYAAAAAXFb++c9/\\navTo0brlllt09OhR1/1RUVHy8vLSkSNH6rF3VKQBAAAAwHOZP/rXnbcqpKSkqH379mrSpIm8vb1d\\n9/v4+MgwDBUUFFzEg754BGkAAAAA8GSX2UJjkhQYGKisrCyVlJSUu//YsWPKzMxUSEhIPfWsFEO7\\nAQAAAMBDGWU3N4Xp6rZz00036aOPPpKvr68yMzN16tQprV+/XmvXrtWpU6c0atSouu1oFQjSAAAA\\nAODJ3FyRNqqxzdixYzVnzhwtW7ZMBw4c0JkzZ7Rjxw41atRIffv2Vc+ePeu8nxdCkAYAAAAAT+Xu\\nYd3VnCOdlJSku+++Wxs2bFCzZs1UWFiogIAAtW/fXtdee62io6PrvKsXQpAGAAAAAE9WzXDrbldd\\ndZWuuuoqFRYWym63y9vbu9zCY/WJIA0AAAAAHqw6Q60vWVuVBPbc3FytX7++2seJjY1VcnLyJepV\\nzRGkAQAAAMCTme5bbKyyZtLT0/XCCy9U+ziDBw8mSAMAAAAAPEAlSTowMFC33nprtQ+TmJh4iTpU\\nOwRpAAAAAPBUptw/R7qCtkJDQzVp0qRy9zmdThUWFqq4uFi+vr7y8fGR0+mU0+mU1Wp1U2crRpAG\\nAAAAAFxWnE6nTp06pdWrV+vbb7/VoEGDdN111ykjI0MZGRmKjo5WZGRkvfWPIA0AAAAAHsyQ++ZI\\nV7edffv2ady4cUpPT1d6errCwsLUqVMnpaSk6KOPPlK7du00ceLEuu3sBVjqrWUAAAAAACowffp0\\nderUSe+//7769Okji8Ui0zTVokUL+fn5af/+/fXaP4I0AAAAAOCysm3bNl1//fVKSEiQj4+P6/7A\\nwEB5e3srKyurHnvH0G4AAAAA8GCmZJ67uam56nA6nfLy8pLFUr72m5OTo4KCAvn6+tZB56qPijQA\\nAAAAwE2ql6S7dOmilStX6sSJEzJNU4ZhKC8vT+vWrVNqaqqSkpLquJ8XRkUaAAAAADyUIUmm+xYb\\nq+6ltu699169+uqreuaZZ7Rz505lZWVp27ZtOn36tNq3b69BgwbVeVcvhCANAAAAAJ7KPBem3aS6\\nbV133XU6e/asNm3apC5dusjhcMhms6lfv34aOHCgWrduXaf9rApBGgAAAAA8mbuq0TXg7e2toUOH\\nqmPHjjp27JgKCwsVGBio+Ph4hYaG1nf3CNIAAAAA4PHcObS7AoWFhUpNTVVCQoKsVqvr/ri4OMXF\\nxVW4T05OjtLT0xUfHy+bzb3RlsXGAAAAAMCTme69VTQfOyMjQ7Nnz1ZBQUG1u52amqrFixcrJyen\\npo/4olGRBgAAAABPdS7YumuxscrayczM1IIFC/Szn/1MQUFBMoyqZ1Nv2LBBy5cv1+23366QkJBL\\n3NMLI0gDAAAAAOqVzWaTr6+vnnnmmXJDuy8kLy9PERER1d7+UiJIAwAAAIAnq+YlqeqyrfDwcP32\\nt7+t8eGioqIUEBBw8f2qIYI0AAAAAHiqy2TF7vDwcP3mN7+p725UG0EaAAAAADyUoctjjvSVhlW7\\nAQAAAACoASrSAAAAAODJTLP05pa25L626hAVaQAAAACAm1z5IVqiIg0AAAAAnuvcKtpum7tsls7L\\nvpCCggJ99913KioqUpMmTRQaGiqb7fKKrpdXbwAAAAAAblVVsHVXWw6HQ0eOHNGrr76q/fv3q6Sk\\nRJGRkRo9erR69eqloKAgt/WzKgztBgAAAADUu/z8fL377rtasWKFoqKilJiYqMOHD+vdd99VSkpK\\nfXevHCrSAAAAAODJLpNpywUFBfrggw908803684771RAQIDWr1+vGTNm6ODBg+rcubMslsujFnx5\\n9AIAAAAAUH9MN98qYLfbdfjwYY0ZM0atW7dWXFycbr75ZgUHBys7O1tFRUV18MBrh4o0AAAAAKDe\\nmaapvLw8BQYGyul0ym63y2azycfHRwUFBcrPz5eXl5ckyTAMWa3WeusrQRoAAAAAPJRh/nBzV3sX\\n4nQ69eWXXyosLEyGYcg0TZ06dUr79u3TmjVr1LhxY0lSXFycrr76ajf0uGIEaQAAAABAvbNarYqN\\njdVTTz113veOHTumFStWuL4eMWKEnnvuOXd2rxyCNAAAAAB4LFMyz93c0pxZ6Rzp0NBQvf3229Va\\nUCwiIuISd6xmCNIAAAAAgHpntVrVvHlzRUREyGazXTYrdFfk8u0ZAAAAAKBumeXnSbvlVklXTp48\\nqauvvlp33323/v3vfys3N9etp6ImCNIAAAAAgHoXGBioJ598UtnZ2XrggQfUu3dvTZs2TZs2bVJe\\nXl59d68chnYDAAAAgCe7wLWd3dlW48aNddddd+nmm2/WoUOHtHLlSm3cuFEff/yxWrZsqYEDB2rw\\n4MFq3bq1bLb6jbIEaQAAAABAvbNYLJYP0X4AACAASURBVAoJCVFISIji4uKUmJiokSNHavfu3dq6\\ndauWLVumf/3rX7rqqqs0fPhwXX/99fXWV4I0AAAAAHgyN15HurqVbx8fH8XHxys+Pl6tW7fWdddd\\npw0bNmjRokX64IMP5OfnR5AGAAAAANSDCyz+VRdq2lZ2dra+/vprbd26VTt27FBhYaGSk5PVpk2b\\nOulfdRGkAQAAAMCTmXLjdaSrbstut2vPnj3avXu3vvrqK3333XcqLi5WVFSUbr31VrVv315XXXWV\\ne/pbCYI0AAAAAHiqsmDrtqHdlTdUVFSkNWvWuEJ0enq6vLy81KpVK3Xs2FHXXHONmjVrpkaNGrmp\\ns5UjSAMAAAAA6l1ubq5ef/11ZWdnKy4uTv369VO3bt2UnJysgICA+u5eOQRpAAAAAPBkl8nlr6xW\\nq1q0aKF+/fqpV69eCgkJkcVicVPHaoYgDQAAAAAeyp0LjVXVZkBAgB566CFJUl5envLy8hQVFSUf\\nHx/3da6aCNIAAAAA4MEMue/yVxcK7nl5eXrjjTfK3Tdx4kQ1bdq0bjtVCwRpAAAAAEC9czqdOnv2\\nrOtrwzDkcDjqsUeVI0gDAAAAAOpdcHCwXn755fruRrUQpAEAAADAY5nnLn/lrutIu2tVs7p1eS6B\\nBgAAAADAZYqKNAAAAAB4qnOXo3LXYmNuvdRWHaIiDQAAAAAezJ2XwKqPy23VBSrSAAAAAODJ3Fkl\\nbgDVaImKNAAAAAAANUJFGgAAAAA8lOGaI+2uVbslowGUpalIAwAAAIAHc2ewNWQ2iOHdVKQBAAAA\\nwJMxR7rGCNIAAAAA4KlMuT9IN4AwTZAGAAAAgFrKysrS6dOnlZOTI7vdLpvNpqCgIEVFRcnf31+S\\n5HQ6dfToUZ0+fVp2u12NGjVSXFycgoKCZLVaJUmmaSonJ0fHjx/X2bNnZbFYFBwcrPj4eHl7e7va\\nczgcOnHihE6fPq2SkhI1atRIUVFRCgsLk8VSy5m77gy2DSBESwRpAAAAAKi1bdu2adGiRdq1a5fy\\n8/PVuHFjtW/fXqNGjdLgwYNlsVh0/PhxPf/881q/fr1yc3MVGRmpO+64QzfffLOio6NlGIZyc3O1\\ncuVKzZ8/XwcOHJDNZlNycrJ+85vfqHPnzq72jhw5olmzZmnt2rXKzs5WVFSURowYodGjRys6OrpW\\nj8GQ6bbFxhrCQmMSQRoAAAAAai08PFyjR4/WlClTFBQUpAMHDmj+/Pn629/+poSEBIWFhem1117T\\n4sWL9corr6hNmzZauHChZsyYoYCAAI0YMUI+Pj5at26d3njjDYWEhGj27Nk6e/asXnnlFT344INa\\ntWqVfHx85HQ6NX36dH311VcaN26cOnXqpH//+99aunSpHA6Hfv3rX9euKt0wsq1bEaQBAAAAoJY6\\nduxY7utWrVopLy9P06dP1549e9S+fXstXLhQDz30kIYNGyYfHx8lJSVp9+7dWr9+vTp27KgWLVpo\\n+/btcjqduv/++9WjRw+VlJQoODhYQ4YM0dq1azVgwAAdPnxYX375pSZPnqxRo0YpNDRUUVFROnPm\\njDZu3KgxY8YoNja2Zg/A/Mm/da2BzJHm8lcAAAAAcAmYpqmDBw9q48aN8vHxUatWrZSWlqasrCz1\\n799fNltpHdPb21vJycnKzMzU6dOndezYMR09elRRUVFq3769JMnLy0uxsbFq1aqVtmzZIofDod27\\nd8swDLVt21YhISGSpCZNmqhly5bKzc3VgQMHKu1bcXGxcnNzlZOT47oVFxfX/UlpoKhIAwAAAMBF\\nOHHihF599VUtW7ZMJSUlatOmjaZNm6a4uDjt3btXhmG45kKXCQ0N1d69e5Wfn6+cnBzl5+crICDA\\ntUCZVBqmw8LCdPz4cTmdTp0+fVp+fn7y9fV1Hctiscjf318Wi0WZmZmV9vG9997TrFmzdPLkSUml\\nof/MmTMK8G8nmWbpzR1M13+uaARpAAAAALgIQUFBGjlypJKTk3Xo0CFt27ZNS5cuVatWreRwOCTJ\\nVY0uY7FYZJqm6+Z0OmUYxnlznK1Wq5xOp6TSFbstFku5QC7J9XXZdhUZOHCgEhISVFRUJEkqKirS\\n3LlztXHD9xf34Gvsyg/REkEaAAAAAC6Kr6+v2rdvr8TEROXm5io2Nlbvv/++Vq5cqZYtW8o0TWVm\\nZioyMtK1T25urry9veXj46NGjRrJx8dHRUVFKiwslK+vr6TSYHz27FkFBwfLMAwFBQUpPz9fJSUl\\n5dovKiqS0+ksV83+qdjY2HKrehcWFurzzz+X5O4g3TAwRxoAAAAALoJhGPL29pa/v7+io6MVHx8v\\n0zR16tQpxcbGqnHjxtq+fburOu1wOHTgwAEFBgYqJCREERERioyMVEZGhg4dOuTaJiMjQ0eOHFH7\\n9u1ltVqVmJgou92utLQ05ebmSpIyMjJ09OhR+fr6Kj4+vtI+WiwW2Wy2cjeLxSJDkkzJcNNNpmRU\\n2ssrBxVpAAAAAKilbdu2yTAMxcTEyGaz6cSJE1q3bp1ycnLUtm1bRUREqFevXnr77beVmJiouLg4\\nbd68WQcOHNDo0aMVHx+voKAgtWvXTrt27dLSpUs1duxY5eXladGiRQoMDFSvXr1ks9mUmJioxMRE\\nff7554qKilJCQoLWr1+vvXv3qm3bthcM0pVyc7AtC+5XOoI0AAAAANTSrl279PXXX7vmLhcWFion\\nJ0cDBw5Uz549FRwcrHvvvVf/93//p9mzZ6tx48Y6duyYrrnmGvXp00chISGyWq3q3r270tLStG3b\\nNn3//fey2+1KT0/Xfffdp6ZNm8pisSgoKEh33XWXlixZogULFsjf31/p6emKj4/X0KFD5efnV7sH\\n4c5g2wBCtESQBgAAAIBaS0xMVHZ2tk6dOiWHw6GYmBj17dtX3bp1U1xcnCSpb9++Kikp0ebNm5Wb\\nm6tu3bpp8ODBatOmjaxWq6TS60+PHj1aEREROnjwoGw2m/r166ehQ4eWW4DshhtukK+vr7Zt26bs\\n7Gxde+216tWrlzp16nQRj8KNq3Y3kCRNkAYAAACAWurdu7d69+59wW28vb1144036sYbb6x0G4vF\\nooSEBCUkJFzwWL6+vrrhhht0ww031Kq/FTo3d9ktGkaOJkgDAAAAgMf68UJgbmC4M7TXIVbtBgAA\\nAACPZTJHuhaoSAMAAACAR3PzHGm3tVV3qEgDAAAAAFADVKQBAAAAwFOZYrGxWqAiDQAAAABADVCR\\nBgAAAAAPZUiSacpw07xlwzzX5hWOijQAAAAAeDD3Bls3rxJeR6hIAwAAAICnMs0fbm5pz/WfKxoV\\naQAAAACAm1z5IVqiIg0AAAAAno1Vu2uMIA0AAAAAnowgXWMM7QYAAAAAoAYI0gAAAAAA92kAVWmG\\ndgMAAACApzIlw63XkW4AKVpUpAEAAAAAqBEq0gAAAADgyUy5+TrSVz4q0gAAAAAA92kAYZqKNAAA\\nAAB4KtP84eau9hpAkqYiDQAAAABADVCRBgAAAABPZkpyurGtK78gTUUaAAAAADyaO4NtAwjREhVp\\nAAAAAPBc51bsdt/1nU0ZbmqpLlGRBgAAAAAPZZy7ua09KtIAAAAAgCufG1ftltkghndTkQYAAAAA\\nj+XmYGu6/nNFI0gDAAAAgKdqIMHW3RjaDQAAAACe7NyCY+5pq2GEdirSAAAAAODR3BxuG0CWpiIN\\nAAAAAB7LrIeK9JWfpKlIAwAAAABQA1SkAQAAAMBTmZKcbmzPqYZQkKYiDQAAAABATRCkAQAAAACo\\nAYZ2AwAAAICnOrfQmOGmxcbc1U5doyINAAAAAB7MqO8OXIGoSAMAAACAJzNN913+quxyW1c4KtIA\\nAAAAAPcwXf+5olGRBgAAAABPVVaNdldFuoHMkSZIAwAAAIAnM+W+IrE726pDDO0GAAAAAI/WAJKt\\nm1GRBgAAAABPdu4SWO5pq2GUpKlIAwAAAIBHu/KDrbtRkQYAAAAAj3UuRLvz8lcNABVpAAAAAPBU\\nDSPXuh0VaQAAAADwZO6ct+zOS23VISrSAAAAAADUABVpAAAAAPBUpik5TclwZ0XaPU3VJSrSAAAA\\nAADUABVpAAAAAPBkplPumyPtxrbqEEEaAAAAADyW+ZN/UR0M7QYAAAAAoAaoSAMAAACApzJVD5e/\\nck9TdYmKNAAAAADAja78JE1FGgAAAAA8menGYHvlZ2hJBGkAAAAA8FyuodYM7a4JhnYDAAAAgEdr\\nAMnWzahIAwAAAIAnc3dFugEEdyrSAAAAAADUABVpAAAAAPBUbr/8lfuaqktUpAEAAAAAqAEq0gAA\\nAADgydxakW4A5WhRkQYAAAAAoEaoSAMAAACApzJNyWlKFjdVip3OBlGVJkgDAAAAgEczG0S4dSeC\\nNAAAAAB4LNP915FuAJmdOdIAAAAA4NEaQLJ1M4I0AAAAAHgqd1/X2Z0rhNchhnYDAAAAgEdjjnRN\\nUZEGAAAAAKAGCNIAAAAA4MncPrT7ysfQbgAAAADwVKb5w7Wk3dKeGsIUaSrSAAAAAODJ3JtrG0aS\\npiINAAAAAB7LlEynTDnd0xrXkQYAAAAAwPNQkQYAAAAAT2Xqh3nS7mvQTW3VHSrSAAAAAODJ3Lpq\\ntxvbqkNUpAEAAADA07mzIt0AwjQVaQAAAADwWO4c1q0GEaIlKtIAAAAAUGu7du3S//73Px0+fFhF\\nRUUKDg7W1Vdfre7duys4OFhS6UrVOTk5+vTTT7Vv3z7l5OQoOjpaAwYMUJs2beTr6ytJcjqdSktL\\n06pVq5SSkiLDMJSUlKThw4crKChIhmFIkoqKirRhwwZt2bJFZ86cUUREhLp3766uXbvK29u7Zg+g\\nbI60uxKu6XRfW3WIIA0AAAAAtbRp0ybt3LlTNptNNptN+/fv1zfffKMTJ07ozjvvlM1mU2Fhod56\\n6y2tW7dOsbGxstls2rlzp9LS0jR27Fh16dJFVqtVR44c0b/+9S+tXbtWsbGxMk1TS5Ys0alTp/TA\\nAw+oUaNGkqRVq1ZpyZIlKiwsVFBQkI4cOaKDBw+quLhY/fv3r/mDcGuQdl9TdYkgDQAAAAC11KxZ\\nMzVp0kStW7dWQECADhw4oLfffltLlizRkCFDFB0drZMnT+rll1/W6NGjdeeddyosLEw7d+7USy+9\\npNWrV6t58+YKDw/Xjh079Pnnn6tz584aN26c7Ha7Fi1apFdeeUU33HCD2rZtq/z8fC1cuFBFRUW6\\n7bbblJycrG3btmnx4sVaunSpunbtKn9//xo8Anen2oaRpJkjDQAAAAC1dMMNN2jo0KFKSkpSbGys\\nOnfurM6dOysjI0NnzpyR3W7XiRMnlJqaqltvvVWJiYmKjo7WkCFDFBsbq927d+vQoUPKzc3V3r17\\n5XA4NHbsWCUkJCgpKUn33HOP8vLytGnTJhUWFurgwYNKSUlRr1691K9fP7Vo0UKDBg3SNddco717\\n9yo1NbXCfjqdTtntdpWUlLhuDoej/OWv3HJz64+nzlCRBgAAAIBLJD09XceOHVNYWJjCwsJkGIa8\\nvb3VqFEjHTlyRG3atJHVatXJkyeVm5ur48eP6/Tp04qMjNSJEycUHByshIQESZLFYlFoaKhatWql\\nffv2qbi4WAcPHpQkNW3aVIGBgZKkkJAQNWnSRHa7XYcOHVL79u3P69ehQ4eUkpKiwsJCSVJxcbG+\\n++67H+rDblpwzGwgSZogDQAAAACXQHZ2ttasWaNdu3apf//+iomJkWmaat68ubp376758+fLarUq\\nMjJSmzdv1sGDB2WapgoLC1VYWKiCggL5+Pi45kJLpWE6JCRE2dnZcjgcysnJkY+Pj7y8vMq1XXZf\\nbm5uhX3bsmWL5s+fr9OnT0sqrVAfO3ZMvgqVnE6ZhpsGK5umTHeuEl5HCNIAAAAAcJHy8vL02Wef\\n6YMPPlBSUpLGjx8vSTIMQ0FBQXrxxRf11FNPaerUqbLb7UpOTlZ8fLzsdrusVqsMw5DFYpHT6ZTT\\n6ZTFUhpsTdM8bxuzgjDqdDplmqasVmuF/Rs1apSGDRvm2q+wsFBPP/20Ppy5og7PSkWu/BAtEaQB\\nAAAA4KIUFxdr+fLlmj9/vtq1a6epU6cqNDTU9X2r1ark5GQtWbJEubm5Kioqkr+/v5544gkdOXJE\\nQUFB8vPzk7+/v06cOKGzZ8+6Lp3lcDh06tQp9ezZU1arVeHh4SooKFBBQYFM05RhGHI6nSooKFBJ\\nSYlCQkIq7KOXl1e5KrbNZiu9VJbbL3/lvqbqEouNAQAAAEAtlV2iaubMmWrfvr0effRRhYeHV7q9\\nv7+/wsLClJ6erm+++UYxMTFq2bKloqKi1LRpU2VkZGj37t2SSkP0iRMntGfPHnXo0EE+Pj5q166d\\nbDabUlJSXMO0T548qf3798vX11dt2rRxy+P2dFSkAQAAAKCWFixYoNmzZ6tDhw4aPXq0TNPUqVOn\\nZLPZ5OfnJx8fHxUXF+vTTz9VaGioYmJilJaWphkzZqiwsFCDBg1S06ZNZbFYlJycrC+++EIvvfSS\\nbDab7Ha7nn/+ebVt21Z9+vRRo0aN1LRpU/Xs2VOffPKJ/Pz81LNnT33xxRfasGGDBg4cqLi4uJo9\\ngB+vqO0WDaMkTZAGAAAAgFpasWKFtm3bpm+++UYff/yxa45yYmKiHnnkEfXv319Op1NpaWmaPn26\\nzpw5o0aNGik5OVmTJ09Wt27dXPt07dpVkydP1pw5czRp0iQZhqGkpCS98cYbCg0NlWEYslqtuv/+\\n++Xn56fFixdr1qxZCgsL04033qg77rjDNbe6RkxJxiU8KVW1deXnaII0AAAAANTW448/rsmTJ593\\nf+PGjdWsWTNJkre3t0aOHKnu3buruLhYNptNISEhio6OVuPGjV37+Pn5qU+fPmrVqpWys7MlSUFB\\nQWrevLlsth+iW3x8vCZNmqRbbrlFRUVF8vX1VVRUlCIjI+v40aIMQRoAAAAAaikpKanKbSwWi2Ji\\nYhQTE3PB7QzDkL+/f5XHtFqtio2NVWxsbI36Wjl3D+2+8hGkAQAAAMCTmZIMd63aTZAGAAAAAFzJ\\nzNKVx003VYpN1+W2rmwEaQAAAADwWKZ7R1s3gBAtEaQBAAAAwMO5cyltgjQAAAAA4Ermuoa0G+dI\\nN4CqNEEaAAAAADyY6fqPm9pqAAjSAAAAAOChTFOS05TpxlW7G0BBWpb67gAAAAAAAFcSKtIAAAAA\\n4LFMmaZTkuGm5pxqCAO8CdIAAAAA4KGccsqhknNh2h3tOeSUwy1t1SWCNAAAAAB4GKvVqsDAQOX4\\nZ2hT7gq5rSItU75+vgoMDJTNduXG0Su35wAAAACAWrHZbJo0aZJuuukmlZSUuLVtLy8vRUdHE6QB\\nAAAAAFcOwzAUFRWliIiIemnfYrHIMNxVBb/0CNIAAAAA4IEMw5DVaq3vblyRuPwVAAAAAAA1QJAG\\nAAAAAKAGCNIAAAAAANQAQRoAAAAAgBogSAMAAAAAUAMEaQAAAAAAaoAgDQAAAABADRCkAQAAAACo\\nAYI0AAAAAAA1QJAGAAAAAKAGCNIAAAAAANQAQRoAAAAAgBogSAMAAAAAUAM2dzWUmZnprqbgAUJC\\nQuq7CwAAAAA8FBVpAAAAAABqgCANAAAAAEANEKQBAAAAAKgBgjQAAAAAADVAkAYAAAAAoAbctmo3\\nAAAA6kdhYaGys7NVXFysoqIiSZKPj4+8vb0VFBQkX1/feu4h4Hn4u7yyEaQBAAAaKNM0lZ6eruzs\\nbIWEhCggIEA+Pj6SpKKiIhUUFOj7779XcHCwwsLCZBhGPfcYaPj4u2wYrtggbbfbVVBQUOV2hmHI\\n39/fDT0CAAC4vKSlpclqtap58+ay2cq/7WvcuLEaN26soKAgnTx5UmlpaWratGk99RTwHPxdNgxX\\n7BzpJ554QsOHD6/yNmzYMK1cufK8/UtKSjR79mzdfvvtGjFihEaOHKnHH39c33//vSTpzJkzGjBg\\ngPLz8932mD755BPde++9uvXWWzVixAjdf//92rx5syTp+PHjGjBggBwOR4X73n///VqxYkWN2zx1\\n6pT+/Oc/6+c//7lGjBih0aNH68UXX6zWhxSStGrVKp09e7bG7daVzMxMxcTEaMCAAZfkePPmzVOv\\nXr3O+//q7vNTqampMgxDdrv9kvRPkpo3b64vvviiwu9169ZNCxYsuGRtVWXRokU6c+ZMnR3/k53H\\nNPKFdRr45y80ftZG7T+Rc9HHLHYUadbu1zXsw6E6fPbwJeilZC92aP3srZp9ywKdOZx18Qc0ndKK\\nR6XnIqS/BUuLb5UKMy/+uLjs/etf/1L37t3l5+enwMBAde/eXe+//3619q3uc9blIjg4WN7e3vL1\\n9ZWfn58SEhI0ffp0t/dj2rRpuvfeey/qGO3bt1fz5s111113ue6bPXu2/P399eqrr1b7OGlpaRo2\\nbJjCw8MVHR2tSZMmqaioSEuXLlX79u1ls9m0c+fOSvdPT0+XxWJRXFzceW/Wf8xmsykuLk5Wq1UZ\\nGRnV7h+Amqurv8t169bp2muvVUhIiJo3b66XX37Z9b0vvvhCXbp0UZs2bdSuXTvNnDmz0uPUZNua\\neOmll9SiRQuFhISoS5cuWrt2rSRp69atslgs8vX1dd2aN29e6XFmzZql1q1bKyQkRJ06daow57nL\\nFVuRbtGihTIzq34jaRiGwsLCzrv/nXfe0ddff60ZM2YoNDRUhYWFeuONN/T444/rrbfeqosuX9D2\\n7ds1e/ZsTZ8+XQkJCXI6nVq1apWeeOIJzZ8/X5GRkVqyZImsVuslbffPf/6zEhIS9M4778jX11cZ\\nGRl66qmn9Oqrr+rRRx+tcv+33npLSUlJCgwMvKT9qq358+frrrvu0vLly7V//34lJCRc1PHGjBmj\\nYcOGXaLe1Y2tW7cqKCiovrshSfrDH/6gzp07KzQ09JIf++DJXL3w8R69eGdntWsSrH9tPqKp7+7Q\\n4l/3ls1a+yFPD697SP2a9JflEn6u+MGjn6h13xYyLJdoKNa216WDn0tTvpJ8g6QPx0sfPyiNdN+H\\nJHC/1157Tb///e/14osvavjw4WrcuLE++OADTZw4Ubm5uRo3btwlb9PhcFzy15ma+Oijj3TDDTfI\\n6XRq48aNGjJkiK6++mrdcMMN9dan2po5c6ar31OmTNHZs2d11VVX1egYt912m66++modO3ZMZ8+e\\n1eDBg/V///d/euyxxzRy5EiFh4dXum9RUZGysrLUokWLarcXFRWl1NRU+fv7u4aZArh06urvMisr\\nSzfddJNmzpyp2267Tbt27VKvXr3UtWtXJScna8SIEVq+fLn69u2rtLQ0JScnq0OHDurevXu54+Tk\\n5FR725pYunSpXnjhBa1evVotW7bU66+/rltuuUWnTp1SVlaW2rRpo2+//bbK46xcuVKPPfaY1qxZ\\no+TkZM2dO1cjR47UyZMn62U++RUbpCdNmnRR+6empio5Odn1ht/X11eTJk3SyJEjy81D2LhxoxYs\\nWKD09HT16NFDU6dOlcVi0YkTJzRjxgylpaXJMAx17NhRkydP1po1a7Rq1So999xzkko/Nfnkk0+0\\nbNkyGYahNWvWaMmSJed9In348GHFxcW5gp/FYtGgQYOUlJSkiIgInTp1SrfffrtWrFghq9WqTz75\\nRAsWLJCXl5e6dOlS7ljp6el65ZVXdPjwYVksFvXs2VPjxo2r8M3R4cOHdeedd7p++cLCwvTMM8+U\\nq3x/8sknev/99+V0OhUYGKgHH3xQCQkJ+tOf/qSjR49q6tSpGj9+vKKiovTqq68qLy9PDodDPXr0\\n0OTJk936pmz27Nl6//33FR4ertmzZ7t+Dt27d9cvfvEL/epXv5JU+mYxLi5OCxYsUK9evVw/O4fD\\noauvvlpvvfWWIiMjtWjRIr355pv673//W66dwsLCSvcp8+CDD2rZsmWyWCz64x//qAkTJpzX302b\\nNumhhx7SmTNn5Ovrq2nTpukXv/jFedudOnVK99xzj1JSUuR0OtWuXTvNmTNHUVFR6tq1q958800N\\nGjRIb731lp555hl5e3tryJAhMk3TdYxjx47pgQce0DfffCOr1apbbrlFTz/9dIWfhs6ZM0fPPfec\\n6031I4884qrQzJ07Vy+88ILsdrvCw8M1Y8YMderUSaNGjdKBAwc0ZMgQPfvss2ratKl+9atfKTs7\\nW3a7XcOGDdPzzz8vm82mjh076t5779UDDzxQrt2DJ3M1Zc5mzZvSQ7EhjXQ4PU8TZm3Sm/d104qv\\njqt/uyi1jw+WJP28W1O98+V3+iotS52ah1T6O3H47GFN++/v9FK/lxXVOFpHc7/Xw2sf0vN9X1AT\\n/3j9qtNvlBCcqHe+fbvSY/zU5rd3KOv7bA15rJ/rvpXPfyn/SH9dd1cn9X2guyISwrR1QeWVovO8\\n2U1qP1bq9pvSr02n9GK8NGyO9NW7Uo9HJf/o0u/1f1r6R7I0fI5k5c1uQ5SXl6fHHntML7zwQrnn\\njttuu03R0dHy9vaWJBUUFOjRRx/VihUrZJqmWrVqpX/84x/nvUm70HZvvfWW3n//ffn6+io1NVUf\\nfvihEhMT9dJLL2nRokVKSUnR1KlTVVBQoI8//liHDx/W3/72N40ZM0aS9Omnn2rq1KnKzs6WzWbT\\n448/7gr58fHxevDBB/XZZ58pIyNDMTExrg+HL6Tstatt27Y6ePCg6/7XXntNr732mhwOhwICAjR9\\n+nQNGDBAe/fuVdu2bcs953Xs2FF/+MMfdN111ykxMVGvv/66FixYoGPHjumaa67RO++8I8MwtG3b\\nNk2YMEG5ublq27atYmJiXMfYuHFjjZ/HKjJ+/Hh17dpVgwYNOu97F3punjBhgm666SZ5e3srPDxc\\ngwcP1r59+6psTyodoRUUFFSj12CbzaagoCD9Y/1pzdgXXO39AFTPQ22zNPaq2v1dZmVlKSoqqsJt\\niouLNWPGDN12222SpA4dOqhtXx9QMQAAIABJREFU27bat2+fAgICVFxcrL59+0oqfV5OSkrS119/\\nfV44Tk1Nrfa2NdG8eXO9++67atWqlaTS17L7779fJ0+eVFZWloKDq/d8ExkZqX/+859KTk6WJI0d\\nO1YTJkzQ8ePHa/ThxKVyxQ7tnj17tiZPnlzlbcqUKRUOe+rXr5+WLl2q2bNna9euXSoqKpKPj4/i\\n4uLKBekDBw5ozpw5mjdvnjZu3KgdO3ZIkp599lk1b95cb7/9tt544w0dOXJE7733nrp06aJvv/3W\\nFUR37typpk2but4I7Nq1S127dj2vP9ddd50OHz6sP//5z9qwYYNruHR8fPx5Qef06dN68cUX9eST\\nT2revHnq1KmTUlJSXN//61//qsjISM2bN0//+Mc/tHPnTi1fvrzC89i/f38999xzWrJkiQ4cOCCn\\n06mgoCDXBwy7d+/WzJkz9cwzz2jevHkaNWqU/vCHP6ikpERPPPGEJOnvf/+7BgwYoJkzZ2rYsGF6\\n++23NXfuXOXm5uq7776r3g/0Eli7dq1CQkJ01VVX6e6779a7776r4uJiSdIdd9xRbjjk6tWrZbPZ\\nNGDAAL344ovav3+/UlJSdOjQIdntdv3lL3+5YFtV7bNlyxb16dNH33//vd5++21NmTJFR48eLXeM\\nrKwsDR06VI8++qj27dunZcuW6Ze//KW++eab89p76aWXFB4ergMHDujgwYPq2bOnPvvss3LbHD16\\nVJMnT9b777+vvXv3asCAAdq+fbvr+3feeafi4+O1d+9ebd26VatXr9Ybb7xxXlv5+fm677779PHH\\nH2v//v1asWKFPvzwQxUWFurLL7/UI488og8//FB79+7Vb3/7Ww0bNkzFxcVauHChJOmzzz7TmDFj\\n9PDDD2vKlClKSUnRt99+q6ysLH399deSpOeff14/+9nPzmu7VZS/7urTUs/9+1uZpjT9o29174DW\\nah7up9TTuWoeUX69g6bhfjp0KveCP6tmgc00KuHnen3XP2TK1Gu7XtUv2tyuJv7xkqSE4MQL7l+R\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ye///47kN4QOzg4KHU+cuRIth1WSw9ew7OCPe+1rkyNcjYsPZi+/r+9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\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"},{\"data\":{\"text/plain\":[\"<unstructured_mesh.unstructured_mesh.UnstructuredMesh object at 0x7a00b24ae550>\"]},\"execution_count\":4,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"# Generate a mesh using the \\\"simplified\\\" meshing interface.\\n\",\"mesh = basic_mesh.CartesianHomogeneousIsotropicElastic2D(\\n\",\"    vp=vp,\\n\",\"    vs=vs,\\n\",\"    rho=rho,\\n\",\"    x_max=max_x,\\n\",\"    y_max=max_y,\\n\",\"    max_frequency=max_frequency,\\n\",\").create_mesh()\\n\",\"\\n\",\"# Visualize the mesh in the notebook.\\n\",\"mesh\"]},{\"cell_type\":\"code\",\"execution_count\":5,\"id\":\"1f2a99d9\",\"metadata\":{},\"outputs\":[],\"source\":[\"# Write the mesh to a file which can be visualized in Paraview.\\n\",\"# Open the associated lambs_problem_mesh.xdmf to visualize.\\n\",\"mesh.write_h5(\\\"lambs_problem_mesh.h5\\\")\"]},{\"cell_type\":\"markdown\",\"id\":\"6b4c1374\",\"metadata\":{},\"source\":[\"## Setting up a simulation\\n\",\"\\n\",\"With our mesh generated we can now go ahead and set up our first simulation.\\n\",\"\\n\",\"### Sources and receivers\\n\",\"As a first step we need to set up a source and a few receivers. To faciliate this we'll use several of the objects imported from Salvus _Flow_ above, specifically _CartesianVectorSource2D_ and _CartesianReceiver2D_. The analytic benchmark we will be comparing to used 2-D vector source with components $[0, -1e10]$ and a relative position of $[1000, 500]$. Here, forces are specified in Newton-meters, with positions in meters. We will choose a Ricker wavelet with a center frequency of $14.5$ Hz as a source time function. For receivers, we'll set up a line of 5 equidistantly spaced between $x=800$ m and $x=1200$ m, at a y position of 1010 m. We need to specify a unique station code for each receiver, as well as a list of which fields we'd like the receivers to record (displacement in this case).\"]},{\"cell_type\":\"code\",\"execution_count\":6,\"id\":\"e2f67ff5\",\"metadata\":{},\"outputs\":[],\"source\":[\"# Sources.\\n\",\"fx, fy = 0.0, -1e10  # Source components (Nm)\\n\",\"sx, sy = 1000.0, 500.0  # Source position (m)\\n\",\"stf = sc.source.stf.Ricker(center_frequency=14.5)  # Center frequency in Hz.\\n\",\"source = sc.source.cartesian.VectorPoint2D(\\n\",\"    x=sx, y=sy, fx=fx, fy=fy, source_time_function=stf\\n\",\")\\n\",\"\\n\",\"# Receivers.\\n\",\"nr = 5  # Number of receivers.\\n\",\"ry0 = 800.0  # Receiver y-value.\\n\",\"rx0 = 1010.0  # x-value of first receiver.\\n\",\"rx1 = 1410.0  # x-value of last receiver.\\n\",\"receivers = [\\n\",\"    sc.receiver.cartesian.Point2D(\\n\",\"        x=x, y=ry0, station_code=f\\\"{_i:03d}\\\", fields=[\\\"displacement\\\"]\\n\",\"    )\\n\",\"    for _i, x in enumerate(np.linspace(rx0, rx1, nr))\\n\",\"]\"]},{\"cell_type\":\"markdown\",\"id\":\"f4fb5db7\",\"metadata\":{},\"source\":[\"### Input file generation\\n\",\"\\n\",\"We can generate the input options for Salvus _Compute_. To do this, we'll use the _WaveformSimulation_ object which we imported above. This object helps to encapsulate the myriad of options which we can pass to the solver. We can get started by initializing a new _WaveformSimulation_ object with the mesh, source, and receivers we've generated above. Since we'll be comparing to a semi-analytic solution which was created on a specific time-axis, we also need to explicitly set the start, end, and time step of the simulation to match what is expected, although note that in general the time-step can be automatically determined from the mesh. Finally, when our simulation object is ready to go, we can call the `.validate()` method which will do some quick checks to ensure that the input file will be accepted by Salvus _Compute_.\"]},{\"cell_type\":\"code\",\"execution_count\":7,\"id\":\"b32f8a4c\",\"metadata\":{},\"outputs\":[],\"source\":[\"# Set up a waveform simulation object.\\n\",\"sim = sc.simulation.Waveform(mesh=mesh, sources=source, receivers=receivers)\\n\",\"\\n\",\"# Modify the start-time, end-time, and time-step of the simulation.\\n\",\"sim.physics.wave_equation.end_time_in_seconds = 0.52\\n\",\"sim.physics.wave_equation.time_step_in_seconds = 1e-3\\n\",\"sim.physics.wave_equation.start_time_in_seconds = -0.08\\n\",\"\\n\",\"# sim.output.volume_data.filename = \\\"wavefield.h5\\\"\\n\",\"# sim.output.volume_data.format = \\\"hdf5\\\"\\n\",\"# sim.output.volume_data.fields = [\\\"displacement\\\"]\\n\",\"# sim.output.volume_data.sampling_interval_in_time_steps = 10\\n\",\"\\n\",\"\\n\",\"# Make sure that Salvus _Compute_ will accept the current options.\\n\",\"sim.validate()\"]},{\"cell_type\":\"markdown\",\"id\":\"f7540ca6\",\"metadata\":{},\"source\":[\"## Running a simulation\\n\",\"\\n\",\"**Before continuing, ensure that you've completed the necessary Salvus _Flow_ setup as described in the [installation instructions](https://docs.mondaic.com/installation).**\\n\",\"\\n\",\"With everything ready to go, it's now time to run our first simulation! Salvus _Flow_'s `api.run` command takes a few arguments worth describing:\\n\",\"\\n\",\"* `site_name`: This is an identifier which tells Flow whether you're running on your local machine, some remote cluster, or perhaps the old chess computer in your grandfather's basement. As long as Salvus has been set up correctly on the specified site all data transfers to / from the local or remote machine will happen automatically. Additionally, if a job management system is present on the remote site _Flow_ will monitor the job queue. Here we're using the site name \\\"local\\\". If you gave your site a different name, please update the `site_name` parameter below.\\n\",\"\\n\",\"\\n\",\"* `input_file`: This expects the WaveformSimluation object which we generated above.\\n\",\"\\n\",\"\\n\",\"* `ranks`: This is the number of MPI ranks the job will run on, and can range from 1 to whatever your license will allow.\\n\",\"\\n\",\"\\n\",\"* `output_folder`: It is here where all the output files of the simulation will be copied.\\n\",\"\\n\",\"\\n\",\"* `get_all`: Salvus can produce a lot of output! The get_all flag tells _Flow_ that we want to fetch everthing which the simlulation creates.\\n\",\"\\n\",\"All that's left now is to spin up the simulation on a site of your choosing.\"]},{\"cell_type\":\"code\",\"execution_count\":8,\"id\":\"979fdc49\",\"metadata\":{\"lines_to_next_cell\":2},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"SalvusJob `job_2605011503634594_7bbc9376f3` running on `local` with 4 rank(s).\\n\",\"\\u001b[32m\\u001b[1mSite information:\\u001b[0m\\n\",\"\\u001b[1m  * Salvus version: \\u001b[0m2025.1.3\\n\",\"\\u001b[1m  * Floating point size: \\u001b[0m32\\n\",\"-> Current Task: Time loop complete* Downloaded 68.7 KB of results to `output`.\\n\",\"* Total run time: 0.42 seconds.\\n\",\"* Pure simulation time: 0.22 seconds.\\n\"]},{\"data\":{\"text/plain\":[\"<salvus.flow.executors.salvus_job.SalvusJob at 0x7a00b3071550>\"]},\"execution_count\":8,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"api.run(\\n\",\"    input_file=sim,\\n\",\"    site_name=SALVUS_FLOW_SITE_NAME,\\n\",\"    ranks=4,\\n\",\"    wall_time_in_seconds=60,\\n\",\"    output_folder=\\\"output\\\",\\n\",\"    get_all=True,\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"af5292cb\",\"metadata\":{},\"source\":[\"## Matching Lamb's problem\"]},{\"cell_type\":\"markdown\",\"id\":\"8ca677db\",\"metadata\":{\"lines_to_next_cell\":2},\"source\":[\"With our first simluation successfully completed, it's now time to take a look at the results. By default Salvus outputs seismograms in the [ASDF](https://seismic-data.org/) file format, which can easily be read by Obspy. Below, I've written a simple utility function which takes a Salvus output file, and plots the results against the pre-computed semi-analytical solution.\"]},{\"cell_type\":\"code\",\"execution_count\":9,\"id\":\"f0a68497\",\"metadata\":{},\"outputs\":[],\"source\":[\"def plot_asdf_seismograms(asdf_file, axes):\\n\",\"    \\\"\\\"\\\"\\n\",\"    A simple utility function to plot traces side-by side with a\\n\",\"    semi-analytic solution to Lamb's problem.\\n\",\"    :param asdf_file: ASDF datafile containing receivers.\\n\",\"    :param axes: Axes on which to plot.\\n\",\"    \\\"\\\"\\\"\\n\",\"    for i, waveform in enumerate(asdf_file.waveforms):\\n\",\"        for j, cmp in enumerate([\\\"X\\\", \\\"Y\\\"]):\\n\",\"            trace = waveform.displacement.select(component=cmp)[0]\\n\",\"            axes[j, i].plot(trace.data)\\n\",\"\\n\",\"    for a in axes[:, 0]:\\n\",\"        a.set_ylabel(\\\"Displacement (m)\\\")\\n\",\"    for a in axes[1, :]:\\n\",\"        a.set_xlabel(\\\"Time sample\\\")\"]},{\"cell_type\":\"markdown\",\"id\":\"498500d1\",\"metadata\":{},\"source\":[\"With this function defined, we can now see how well our simulation has done!\"]},{\"cell_type\":\"code\",\"execution_count\":10,\"id\":\"260c24e7\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"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size 2000x500 with 10 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"fig, axes = plt.subplots(2, 5, sharex=\\\"col\\\", sharey=\\\"row\\\", figsize=(20, 5))\\n\",\"with ASDFDataSet(\\\"data/force_verticale.h5\\\", mode=\\\"r\\\") as ex2ddir, ASDFDataSet(\\n\",\"    \\\"output/receivers.h5\\\", mode=\\\"r\\\"\\n\",\") as simdata:\\n\",\"    plot_asdf_seismograms(simdata, axes)\\n\",\"    plot_asdf_seismograms(ex2ddir, axes)\"]},{\"cell_type\":\"markdown\",\"id\":\"27bad433\",\"metadata\":{},\"source\":[\"Hmm. While we're close, there's something not quite right here. Remember when I mentioned above that we would make the domain infinite later on? Well, now is the time -- the discrepencies at later time are due to reflections off the free-surfaces of the domain. We'll now make our domain \\\"infinite\\\" by adding some absorbing boundaries at the edge of the domain. In this example we will add a simple Clayton-Enquist style boundary condition. While these boundaries do not perform well for waves hitting the boundaries at small angles, they are advantageous in that they do not need any sort of \\\"sponge-layers\\\". We will see how to attach more advanced absorbing boundaries in a future tutorial. For now, we simply need to initialize the AbsobringBoundary object we imported above. To do this, we need to specify at which \\\"side-sets\\\" the boundaries will be applied. By default, Cartesian meshes have side-sets which correspond to the edges of the domain (i.e. $[x0, x1, y0, y1]$ in 2-D, and $[x0, x1, y0, y1, z0, z1]$ in 3-D). Since in this case we want a free surface condition on the top boundary ($y1$), we'll apply the absorbing condition to the other three side sets).\"]},{\"cell_type\":\"code\",\"execution_count\":11,\"id\":\"878393ee\",\"metadata\":{},\"outputs\":[],\"source\":[\"# Initialize first-order absorbing boundary conditions.\\n\",\"boundaries = sc.boundary.Absorbing(\\n\",\"    side_sets=[\\\"x0\\\", \\\"x1\\\", \\\"y0\\\"], taper_amplitude=0.0, width_in_meters=0.0\\n\",\")\\n\",\"\\n\",\"# Associate boundaries with our simulation.\\n\",\"sim.add_boundary_conditions(boundaries)\\n\",\"sim.validate()\"]},{\"cell_type\":\"markdown\",\"id\":\"c68f5519\",\"metadata\":{},\"source\":[\"With our boundaries attached, lets now run the simulation again and see if we can match the provided solution this time.\"]},{\"cell_type\":\"code\",\"execution_count\":12,\"id\":\"47260b34\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"SalvusJob `job_2605011503431413_e2145e02ae` running on `local` with 2 rank(s).\\n\",\"\\u001b[32m\\u001b[1mSite information:\\u001b[0m\\n\",\"\\u001b[1m  * Salvus version: \\u001b[0m2025.1.3\\n\",\"\\u001b[1m  * Floating point size: \\u001b[0m32\\n\"]},{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAAAsCAYAAACJ44AqAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\nEEIYQAJpIYQQQgghhBDCAP8PiVpc3SyxnOMAAAAASUVORK5CYII=\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"},{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"* Downloaded 69.1 KB of results to `output`.\\n\",\"* Total run time: 0.64 seconds.\\n\",\"* Pure simulation time: 0.30 seconds.\\n\"]},{\"data\":{\"image/png\":\"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size 2000x500 with 10 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"# Run a job.\\n\",\"api.run(\\n\",\"    input_file=sim,\\n\",\"    site_name=SALVUS_FLOW_SITE_NAME,\\n\",\"    ranks=2,\\n\",\"    wall_time_in_seconds=60,\\n\",\"    output_folder=\\\"output\\\",\\n\",\"    get_all=True,\\n\",\"    overwrite=True,\\n\",\")\\n\",\"\\n\",\"# Plot results.\\n\",\"fig, axes = plt.subplots(2, 5, sharex=\\\"col\\\", sharey=\\\"row\\\", figsize=(20, 5))\\n\",\"with ASDFDataSet(\\\"output/receivers.h5\\\", mode=\\\"r\\\") as simdata, ASDFDataSet(\\n\",\"    \\\"data/force_verticale.h5\\\", mode=\\\"r\\\"\\n\",\") as analytic:\\n\",\"    # Plot.\\n\",\"    plot_asdf_seismograms(analytic, axes)\\n\",\"    plot_asdf_seismograms(simdata, axes)\\n\",\"\\n\",\"    # Ensure seismograms are similar.\\n\",\"    for ana, sal in zip(analytic.waveforms, simdata.waveforms):\\n\",\"        for cmp in [\\\"X\\\", \\\"Y\\\"]:\\n\",\"            ana_trace = ana.displacement.select(component=cmp)[0].data[250:450]\\n\",\"            sal_trace = sal.displacement.select(component=cmp)[0].data[250:450]\\n\",\"            assert np.linalg.norm(ana_trace - sal_trace) < 1e-3\"]},{\"cell_type\":\"markdown\",\"id\":\"304b0ad5\",\"metadata\":{},\"source\":[\"Looks like that did it :).\\n\",\"\\n\",\"While this is a neat way to introduce some of the simple forward modelling commands, this tutorial has a deeper significance to the Salvus project as a whole. In fact, this very notebook, along with many like it, get run every time a new commit is made to the Salvus codebase. If the solutions do not fit as well as is visualized above, the commit is rejected. This helps us ensure that, as more and more features are added, our solutions remain accurate and performant.\"]},{\"cell_type\":\"markdown\",\"id\":\"158ba586\",\"metadata\":{},\"source\":[\"## Under the hood\\n\",\"\\n\",\"While Salvus_Flow_ is a great tool for running simulations both large and small, sometimes it doesn't make sense to deal with the overhead of firing up a `Python` notebook. Fortunatelly, it's quite easy to run Salvus_Compute_ from the command line as well -- all we need to do is generate a `toml` input file. Let's generate a file from the inputs we've been using so far.\"]},{\"cell_type\":\"code\",\"execution_count\":14,\"id\":\"a6091d2c\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"[domain]\\r\\n\",\"dimension = 2\\r\\n\",\"polynomial_order = 4\\r\\n\",\"\\r\\n\",\"[domain.mesh]\\r\\n\",\"filename = \\\"__SALVUS_FLOW_SPECIAL_TEMP__\\\"\\r\\n\",\"format = \\\"hdf5\\\"\\r\\n\",\"\\r\\n\",\"[domain.model]\\r\\n\",\"filename = \\\"__SALVUS_FLOW_SPECIAL_TEMP__\\\"\\r\\n\",\"format = \\\"hdf5\\\"\\r\\n\",\"\\r\\n\",\"[domain.geometry]\\r\\n\",\"filename = \\\"__SALVUS_FLOW_SPECIAL_TEMP__\\\"\\r\\n\",\"format = \\\"hdf5\\\"\\r\\n\",\"\\r\\n\",\"[output.meta_data]\\r\\n\",\"meta_json_filename = \\\"meta.json\\\"\\r\\n\",\"progress_json_filename = \\\"progress.json\\\"\\r\\n\",\"\\r\\n\",\"[output.point_data]\\r\\n\",\"filename = \\\"receivers.h5\\\"\\r\\n\",\"format = \\\"asdf\\\"\\r\\n\",\"sampling_interval_in_time_steps = 1\\r\\n\",\"[[output.point_data.receiver]]\\r\\n\",\"location = [ 1010.0, 800.0,]\\r\\n\",\"network_code = \\\"XX\\\"\\r\\n\",\"station_code = \\\"000\\\"\\r\\n\",\"location_code = \\\"\\\"\\r\\n\",\"fields = [ \\\"displacement\\\",]\\r\\n\",\"\\r\\n\",\"[[output.point_data.receiver]]\\r\\n\",\"location = [ 1110.0, 800.0,]\\r\\n\",\"network_code = \\\"XX\\\"\\r\\n\",\"station_code = \\\"001\\\"\\r\\n\",\"location_code = \\\"\\\"\\r\\n\",\"fields = [ \\\"displacement\\\",]\\r\\n\",\"\\r\\n\",\"[[output.point_data.receiver]]\\r\\n\",\"location = [ 1210.0, 800.0,]\\r\\n\",\"network_code = \\\"XX\\\"\\r\\n\",\"station_code = \\\"002\\\"\\r\\n\",\"location_code = \\\"\\\"\\r\\n\",\"fields = [ \\\"displacement\\\",]\\r\\n\",\"\\r\\n\",\"[[output.point_data.receiver]]\\r\\n\",\"location = [ 1310.0, 800.0,]\\r\\n\",\"network_code = \\\"XX\\\"\\r\\n\",\"station_code = \\\"003\\\"\\r\\n\",\"location_code = \\\"\\\"\\r\\n\",\"fields = [ \\\"displacement\\\",]\\r\\n\",\"\\r\\n\",\"[[output.point_data.receiver]]\\r\\n\",\"location = [ 1410.0, 800.0,]\\r\\n\",\"network_code = \\\"XX\\\"\\r\\n\",\"station_code = \\\"004\\\"\\r\\n\",\"location_code = \\\"\\\"\\r\\n\",\"fields = [ \\\"displacement\\\",]\\r\\n\",\"\\r\\n\",\"[physics.wave_equation]\\r\\n\",\"time_stepping_scheme = \\\"newmark\\\"\\r\\n\",\"start_time_in_seconds = -0.08\\r\\n\",\"end_time_in_seconds = 0.52\\r\\n\",\"time_step_in_seconds = 0.001\\r\\n\",\"courant_number = 0.6\\r\\n\",\"attenuation = false\\r\\n\",\"[[physics.wave_equation.point_source]]\\r\\n\",\"location = [ 1000.0, 500.0,]\\r\\n\",\"spatial_type = \\\"vector\\\"\\r\\n\",\"spatial_weights = [ 0.0, -10000000000.0,]\\r\\n\",\"\\r\\n\",\"[physics.wave_equation.point_source.source_time_function]\\r\\n\",\"center_frequency = 14.5\\r\\n\",\"wavelet = \\\"ricker\\\"\\r\\n\",\"[[physics.wave_equation.boundaries]]\\r\\n\",\"side_sets = [ \\\"x0\\\", \\\"x1\\\", \\\"y0\\\",]\\r\\n\",\"taper_amplitude = 0.0\\r\\n\",\"type = \\\"absorbing\\\"\\r\\n\",\"width_in_meters = 0.0\\r\\n\",\"\\r\\n\"]}],\"source\":[\"# Write the input file as a toml.\\n\",\"with open(\\\"sample_toml_file.toml\\\", \\\"w\\\") as fh:\\n\",\"    toml.dump(sim.get_dictionary(), fh)\\n\",\"\\n\",\"# Look at the file we've written.\\n\",\"!cat \\\"sample_toml_file.toml\\\"\"]},{\"cell_type\":\"markdown\",\"id\":\"11e8a3b0\",\"metadata\":{},\"source\":[\"With this input file you can now just run Salvus_Compute_ from the command line, with or without MPI. You can also of course modify the input files, as long as they are consistent with the schema. As with Salvus_Flow_, most invalid inputs will trigger an informative schema error before the time loop begins.\\n\",\"\\n\",\"That's it for this tutorial!\"]}],\"metadata\":{\"jupytext\":{\"cell_metadata_json\":true,\"formats\":\"ipynb,py:light\"},\"kernelspec\":{\"display_name\":\"Python 3 (ipykernel)\",\"language\":\"python\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.11.15\"}},\"nbformat\":4,\"nbformat_minor\":5}","notebook_widget_size_map":"{}","path_to_zip_file":"/2025.1.3/examples/tutorials/advanced_interface/lambs_problem/tutorial.zip","zip_file_size":"175.15 kB"}},"pageContext":{"slug":"/2025.1.3/examples/tutorials/advanced_interface/lambs_problem/tutorial","pagePath":"2025.1.3/examples/tutorials/advanced_interface/lambs_problem/tutorial"}},
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