{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# How to Use Forecasters in Merlion\n", "\n", "This notebook will guide you through using all the key features of forecasters in Merlion. Specifically, we will explain\n", "\n", "1. Initializing a forecasting model (including ensembles and automatic model selectors)\n", "1. Training the model\n", "1. Producing a forecast with the model\n", "1. Visualizing the model's predictions\n", "1. Quantitatively evaluating the model\n", "1. Saving and loading a trained model\n", "1. Simulating the live deployment of a model using a `ForecastEvaluator`\n", "\n", "We will be using a single example time series for this whole notebook. We load it now:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 414/414 [00:00<00:00, 852.29it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Has missing data: False\n" ] }, { "data": { "image/png": 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HWOuFWOtlD5zGXN/gMKPKeHHknTSV2JnGWFdjWtr80MoGDRQmUVJcQ/12gFmcklWZOmMF5FJjjfF68skn8eSTT6IO9Rztt2s5XnfxpropvBwoGK+quT5nv7gP/WoF/9r24Su8XtkcI04l7jvSw7XtCSIilVzF1jgq8ocub/CbDLbGEY7028VN7ntzvro1Ruxx/g0a7CW2xzGO9PmbiN1ZDClRYbz4nWQNGihMosrIHqbUp/N4dcOAfC0qdk0xXu2ghbAlGo/XvYyCBq2a6z0r8kmUFDvUnSXye/YLL9wcAgC+9o0nkEo/1u65G7vF31++xS+8NkczHOm3i8/AJ617axThG/7ZH+AXL11hH9ugwV5iexIVYcAcBn1rVLb/A6XU2DBeDXwwiZJC4uOa28c1czyQjQ2ixqOMdHYej3mRhwlN4eWAerBXGS81k4orlU2iFCdXlTfp8BVeX7q2AwB435tPAYBXEOyz18vC6/IGX658bXuKM+s9hEEL7cBvV/TZV7cwiVI8VzmXBg32AzuTGGfWVYcufU2oJo0DlcHEd/HDqsHrh3GF8eoxiYVCaqx7vKiMlzLntyvm/HbgNQ5uPEvwY7/zpaJL86CiKbwc0DFevub6SZwUURKHca7aF17dwZn1bjEw3MfY/tyNXXSCFrphC69t8QuvV7fGBUPQCwN26CQAfO7qdvZah1DubXB3YXsS4awqvBhFk4qhWO/nHq+w8Xg18MckSovh1Or5tpzUuBgnYTxew5j1Oy0vc/2Pf/zL+PGPfxn/n0+9wj72TqIpvBxQBVK1Y6OIk2CyVtMoxdFBGy1xOBmvz7+2g7edXV/K/Pjc9V08enIFRwdtttw6niXYHEVFyKTvruhzr2aF17VD2ODQ4O6BlBLb4win1rpoCd79VGe8GqmxwTLIzPW+UuNiA5rOXG+CtvDyGNQNZFFFAHDQ05qawsuB0SxGN2whDMq3as3TpzWJs4t7pRMeOsZLSonnru/irWfXynZfj0X+2eu7eNPpVaz32nMdXRRczRmygvFqt7yklc+/mkmmrzaFV4N9xHCWIJXIPIvMNUHFUChjftnVeLjWlQYHA3PmeubGeqSRGruaOAnz8SoHbHmP1/W8cevWAY9ragovB4azuPB0KQw6AYKWYOvI0yhFLwww6B6+uWq70xizJMWp1W5JRTN3JEkq8fLtER47tYK1XjiX2k2BMvOrcUHdsIUJ80Ezi1M8e30HLQFc254gPehbowZ3LVTxpMa0jCOOx0tJjU1XY4PlUZUaex0e41XNAFPohsEC4yWlhJSL623JeNU9XvzmNfVaN3ZnrGPvNJrCy4HRNJmjQIFsRuFqN+QzXlGCXruVMV6HLKNEJcYfGbS9RzrsTCKkEjg26GC9z2e8Xi0KL8V48aXGL1/fQZRIPPHwccSpxK3hwb5BG9y92K4MJl7pBCzGa2scQQhgras8Xo3U2MAfk7jsahwwPV7VDDAF3cggE8azBJ1wvnDrexRe1VDyhvE65BjO4rmORoW1nm/hlTNeHuGh+4mtirThX3iVg1jXe+251G4KNkdZkXQsb1DotfnmeiUzvvex4/k5HezulwZ3LwqDfK+NfidkNatsjyOsdsNiIHbT1dhgGWilRuK1NI3TovBX4MZJ1MkNH6lR5UMCOPCTYZrCy4HRLJnraFRY67XZD+1JnNG5g0546BLXVeF1tN8uZA2u+XG7Moh1vR8Wcgn9+Oz71RDgXrvFZrxevj2CEMBbz64DaEYONdg/qI3Hej/EoMOzH2xPosJYDzRdjQ2Ww3imyfGa0a6laa7kVNFtLzJe586dw7lz5xaOH82SueY1ALn0zmW8so35oydXir8fVDRj7B0YTs2MF6dwiJJsBEMvDLDSCQ6dxFUwXoM2Wi3h5a9SjNd6hfGSUkII4Tgyw/Y4wlo3LCjpXhgUEigVr2yMcWatV7Th383zwBocbFQ7EwedgMWgb4/jwt8FNIVXg+WQkQJZ8aO6G6kbgYzxqkmNwWLh9fTTT2uPH0cxBjUftY+NRLFcbzu7hj/60g3WsXcaDePlgI4GBbLigbNQqgd8t93CoBt6zSncK2wxJT6g9Hgd7WcyX78TsM31pdTYxnq/jTiVrJtrZxIXHaVA9l5yC6erm2M8cKxf7OoaxqvBMnjmyha+45//B6/7uWS82vmDhhcncaRf3gthbm5uzPUNuEhTiVlcMdcz535WU+8VOAGqumdsr91iP1+U1PjIyZWsY/gAN041hZcDuq5GgC81qgKj184Yr/164P/p5U185f/82/j1Z15lHbdVa1/30eB3JmUXl5JJOAb7nUk0t8vvhfxd0dWtMe4/2i9nPTaMV4Ml8OFf/xz+9MoWLr20wT52u+J5ZBde43mpEchb+Js4iQZMKOVCFU+doAUh6H5BHePVDQPEqSQVP6NZMhdFAfg9X24PZ1jrhsUziqvI3Ek0hZcDuq5GgG+uV7RtLwywso+M1/M3szE5/+y3vsg6bnM8QydslenG7QBjZtEzZ67Pd+scg/32JKoxXjxzfZpKvLo5wf1He0uFwDZooNDJTcWbHizy9jjCoBOgHbTQZ/oVt8fzm5DsXOgsQ4MGCuq6U2uiECLb1C7JeAEghaiODeb6OJWIiCGsQKmIqNc6yGt7U3g5YGa8QuxOY20uiQ5f/8/+AEAmj6k4Ceqxe4ndvPh5Ph94TcX2OMKRfrvwY/U8koV3Kub6NS/GK57b5WcBqvQb8+buFLMkxYNH+0VmTMN4NVgGnSC7Hy7f5g98rxrke+2AtUPfrt0LAC+0skEDBcW0Vg3yHBuH1uNVdNm6r8fRLJ7L8AL4Y4sAYHcaYTVnj4GDvbY3hZcFSe5B0jNebSSpJEuGqsZKpUS/EyBJJXmkwl6iaurn7Ca28sJLodfmyxrbkxi9dgudsIXVvFN0l5PWXWO8uA+rVzaz5Pv7jzYerwZ7A8XiXtnwKLzGccH8cqTGOEmxOy2PVeh6zi5tcG+jSJ6vFD+ZjYOe41VnvIpmj8T9GqNZMpdaD5QGf07xNJwmWO2Gh0LNaLoaLVDyoK6rUX24kyjRMmJVVA2vX/+W0/j3T18pvl7PP3m9cavSZrs9jnBitUs6rm5s73f8GC/FdK12sz93GXJtdg7zHq8okUhSORe+Z4IqvB441kevky0MTVdjg2WgRpS8vBeMV5SSunx3c5vCkb7O49UwXg14UNfTaiU2KdtYE+MkLIxX9dn3wQ9+UHt8NUNMoXi+EiMtAGBnGmO9KjUe4LW9KbwsKEYZaHK8wlxiiAnmQRX8+cPf+S4cW+kU1fwkSrHW26uzpeF2hfHaYhReu9O4yM8CshuDG+WwXSneVvM/qV43KWUmNfbnuxoBWvELZB2NQMZ4qREXh210U4ODAyklrm1n0xR85n5uTyKcXivnjgLZQ6zOHiwcVwlerUKXndSggQtqDa4SDBwG1sp4Va7HCxcuGI5PF3LAfEK6dycRHjgk/t1GarRAd0EqtFvZW0eR6zbyAuX4IItiKC/KO39hVBN9ObESuzXGq+fRdTKqZKKt5n/uEAuv0SxBksoa48VjrV7ZGGOtm3VUCiGyBgHGjqpBgyqGs3I23G2PXL7tcbZDBzL2FqBdy8oXudrTSY3N9dyAB8V4VTev3ZDe7KHvaqTNDpVSYhonC8pP30ORUFKjmjU5OsCMV1N4WVAO77QwXomb8dpQo24G8wNt92ORvD2c4fRaxnKxCi8N48XNWZlEabEbWclZRCrjNdQsDmqXRe2+eWVzggeO9Yv/5w4mbtCgCnX/3H+kh81RhJjp2dyuxKNw4k3UulTfEHbD1oGWVxocTAyn8xNBAN6Q6mls6WqsrM2XLl3CpUuX5r4vSiRSiQXGS21EWIzXNGuEK2XKg3svNIWXBbqHvYLyFFGkxo18N3x0UM4YBPbHX3RrOMOjJ1cA8Bkv5csCsmKUO+h7HCXFbiQMsmiKXQbjBQArnaoPIR8MTHwfb+xOcWqtlFb7Hp2ZDRooqC7dR/L7aYMhvUsp57K4eoVsTusCAxYtEAPmvMcGDQDzppayoZUya0BbTK7Prs1qA9kTTzyBJ554Yu77lOpTZ7x6TJ9WmkoMZzHWuofD49UUXhbYGK92kL11cUqXGo+t7C/jNZ4luD2c4e33ZXMKqYVXmkrszuI5aWO9nwXIciIxJlFSyINAZrCnZqGp2ZYDTeFFfdiMpvNy6WAfg2wbHH4or5UqvG4N6YN5h7MEqUTZ1ciQGk3r0qATYNx4FhswoTrL56wkYYu0oVWFVbfu8WrT4iTKYHG9x4vKWo2iBFJijvE6yGt7U3hZoB72OsYrbPlIjcrjpZiaO1t4vbKZdV698/688CLu0NVFvVZ5H9Z7baQSLNZrEs23Da92A7LUONa0PB/NpVtqAZklJC/nU2vQQKFgvE4MAAC3GYN5i3FBivFi5BaZpMaVLp+FbtBgOI0R5PN3FbJwavfzSRVOulmNADBzxEkUo/TqHq/CRkK7ngu5tBey7qX9QlN4WTCaEjxeBKlxaxyh124VDE0hK9xhc/3ljayr77FTK+i3A3LBoiIfqoyX2h1xkucnUVrs7NXrcaXG6mehCllV2LqQheGWxw88IjEalPjx3/0y3vPh393v09g3KLb2kROK8WIUXpNyTiPA87QoqbGefTTohBjt4wzYBocTu9MYK51gLsakF9ICVAupkODx0h+vGLOax6voTKSRE+pePCw5Xk3hZcHQkuMV5l2NFEPtTs0ftV+M15W88Hro2ADr/ZCcGr87zb6vyvypBwYneX4cJXOU8mp3ycIrl243iA+8bPzTvNTYMAT++LHf/RKu70zv2QgDde0rz+StXbrUWI+E6BGlGcDCeHWCnJ0+uMOBGxw81BunAHqchLpee4auRhdrVqbm6xkvqiKxW2kQaActtANxuLsahRBvFUJ8uvLfthDiB4QQx4UQvyOE+HL+57HKMR8SQjwrhPiiEOJbKl8/J4R4Jv+3nxCupMB9BiXHKyJIjeMa01Lo33eY8bpye4RO2MLJ1W7WlUgs/AoPQE1qBMCaVzmpmOuBvPAiHl8YiisPm5Lxchd/szjFLEnnzPlZ4cefsddgHirLiovPXt3CIz/0a/jStZ09PqM7A3XtP3Q8kxq3xvR7oZAac48XZ0TKaBpDiEVfzKAbQkqaQb/B3Ym/+zMX8V3/4k9Yxwyni2PxqAGqLsbL9RoF41Ur3LgB1/XOTJ+RdncSzsJLSvlFKeW7pZTvBnAOwAjAxwD8EICPSynfDODj+f9DCPEOAB8A8E4A7wfwk0II9al8BMB5AG/O/3v/nv42e4zhNEbYEoVeXQXHXD+sTV/fL3P9jZ0pTq910WoJlr9pL6TGNJVZOGRYL3z8Ga920MJaNyRJjeOiiK7+DnRzfwMzXvMsvD729CvZn596ZS9P545hexyhG2YWgnYgmLMWy7mlAFdqTDBoBwsJ9+reGDYG+3sWv/v5a/jjL99kHbOrKby6+cggF3s6MTBe5MLLwHh1ghZagl54qXVc/R59RhzGfoArNX4jgOeklC8B+A4AP5N//WcAfGf+9+8A8HNSyqmU8gUAzwJ4jxDiPgDrUspPyOzT/NnKMQcSo3xquo6Y48RJjGeJNn+KGoNQxTRO5kJQOdielPMWOTktihVaXUJqVDdg1Zey0g09zPXzN+ixlQ5JahxFSjYuj1/rhdiZ0AedN9DjNY/UdqAct/Pc9d29PJ07hu1JPOfR4lgHSnN9uUMHaGzVcJbMbSAUFBs8Ysw/BbIQ6Os7fp9hg4ODncpazFnThrVubyBjvFLpVnSMjFewaMW5ePEiLl68WDtez3gJIVislXqOqN/joHescwuvDwD4d/nfz0gpXwWA/M/T+dcfAHC5csyV/GsP5H+vf/3AQkfBKrQLj5f7Ah/O4jmmZhnG6/v/7afwxD/5Xa9iYauaGxS2yA8KJTVWPSXqgUFljAotvxon0QtZyfUAMKjd4McGbZLUOJzqGa8klU1noweq159v4fXMK1sAgE9f3tyLU7rjqA5t77ZbTMZLPSjyAFVGtt+otp4orHgyXv/gY8/gPR/+eDNg+5CjKtlvM2RvRTBU0SN2FZoYrzBYfD6eO3cO586dqx2vZ7yAPGfRw+MFlIzdQQW58BJCdAD8ZQC/6PpWzdek5eu6n3VeCHFRCHHxxo0b1FPcc+guSIUyud5dvIwXpMac8fIovH7nc9cAANe2+azX9jie85RQHxRjTReVemBQpcax5gZb64aZ94rwPoyiGJ2wVdzQCsdWOiSpsRx4Ps94ATyfWoMM1YXdZ05hkkq8dGsIIOtKPYysY3Voe9eD8eq3g0KSUfcWhQHO1iUN45U/dLjzR3/hYrYfvrHjx6Q3OBj48rWSOb7GYDC1sxaJGwET46XiliKHFUc9g3SFF8sOUwuB5Qz53g9wGK9vBfC0lPJa/v/XcvkQ+Z/X869fAfBQ5bgHAVzNv/6g5usLkFJekFI+IaV84tSpU4xT3Ftk8QMGxkuZ6wlS46gmNbYDwdKvdXjh5pB9zPakynjRdwQ6f1UnzJLnt5mMV11qBIgPm6m+CD7Sb5NiMRTj1dcWXo3BnosbFbnbR/q+NZwildm4nSiR+2oI9y36suT5cqHneryqA987YQv9dkCS7kezeG4DoaC+5iux+GzmGhwc3K5sQDkNL9pZiyqHy9mVqA9A1eVcnj9/HufPn5//2YYcMCBbq+mqTIx2UGaRcaw0+wFO4fXfoJQZAeBXAXxP/vfvAfArla9/QAjRFUI8isxE/8lcjtwRQrw372b87soxBxKmhz0ABLnUmBDM9aNZPPfAF0J4DbStPiC8Cq9xORuu16YPQVULeb+2K+Ekz6udS7dmrgdAMtgrQ3Ed7aBFkntHmmgQ9V5wutEaZKgOhd5kZLkpKHblTWfWAPDGV+0lvu/fPI2v+uHf8Tp2p7KRyRgvRuE1jotjFaibiNEsWfA6AlXWzO+Bc92zSaLBwUA1EJtTRGeFV42xyomFxEEsmEb+FB7oiiL01FNP4amnnpr7PpvU2Gu3yOxtNtIuLPzY3fAuYLyEEAMA3wTglytf/hEA3ySE+HL+bz8CAFLKzwL4BQCfA/CbAL5PSqlWgu8F8FPIDPfPAfiNPfgdXjcMZ7E2wwuoUKmkh36ysEPttmkjGaq4WUnGfuEmz5AcJymGs6Qw13NoXJW/1WotdlFRR5SoIq/f8Su8xlGsNRS3A4GIIPeqvK5qrMd6w3h5QxUIJ1c72CQG2FahjPVvOrU693p3Gr/2zKvYHEXk7toqdialdM+VNqoDshXIhdc00a5L6mscqbH6e/vGgjQ4GNgclZ5Djmw8qeUrAvTmMRPjJYRAOxDO403meiAz6FOer8CiH5uaQ7Zf0FcVNUgpRwBO1L52C1mXo+77Pwzgw5qvXwTwLv5p7g9Ghu4hoBIn4bgw0lTmO9R6uy6dcVL4wmvbxd+5vhrFTFW7qOhSY6z3lDA6R6YGcz3AYLx0EwRaLVJnqUr0rv4eax5ZZA0yKG/fG44P5mRHKm7kO/I3nc4KL04Q7+uBP728ib/wppOsYzJzfbmR4Sz0O5MYJ1Y7c19b74ckU/Qo0pvrVd4gJxT4J3//2eLv1xqP16HG5niG+470sDvdZRXfWsarUHQchZNh5I96DXrhpsvKbJE21QCwUwuB7YatAx3s3CTXWzCcxlp5C6iODKKZB+uMV68dsLuIPvapV7DWDfGWM6vsHfpWEdio4iToXY2jWnOAQr/DY83UMQorHKlxqj+HkMh46dK+G3O9P1Sh9PCJFWwOPaTG3fnCizo3dK9x35EeAH5n5SxOMYnSYiPD3Ujp0sKpjNfYIDVyY2q+dG0H/68/fA5//YkHcf+RXsN4HXJsjiIcHXQwaNM3xHGSIknlAuMUEGcRT2I94wXQ1uZJnKAdiOLnVUFhzBSGtfvpoDNeTeFlQX2ocxXUIdlDw7xHrgYtpcTvfu4avuVdZ3FqrcsuForZcBVz/Sy/6VwYG9gmDuOl29moJHxKev2uJmsG4Hu8dJ2ZjdTIR5HafqyPnWlM3pkqXN+eYK0X4vRaF8D+SY2t3BPC/fk79QBU5kZKV3itMzxeevaXni0IAL/y6VfQEgIf+ta34+Rad8631+DwYWsc4Wi/jUE3JDNeZeGk70p0M15KKvTz306jRbatejx1XdmdxnMB31mzS8N4HUpM4nRheKdCSEyuL4M/5xfZtR5tkVW4sTvF9iTGu+5fZ43aUVAShipeVAFCeViYFvp+OyQXXkXhU7nBOVKjLl0ZyHZm1OkBnaBVtO8DGQvZEvcm4/Uz//FFfNX/8tveu8LtcYSVToCTeeG0yWSsbuxmUxR8Zn7uJdS1x41g2JnM3089xgguQJ8ReKTfdsazSJnlztXXE4A3PxYAbu3OcGylg2MrHfQZLEmDg4mtcYSjg7aXBaT+nAsYio6JsQoJa/M0TrT+rux4uservpHhNrvcaTSFlwFpKjGrjbipgmqu1yWmA8DptW5hMKbguetZF+MbT6/mo254D6pbw+xnKV+J8lpRHhZjA/PHMdeXHrPSUMyJk6hTyQrtlkCUSGckwGgaL/wOQgisdsN7kvH60d/+IjZGEX75ab9xPcocfjSfl8k12F/fnuL0Wq+Q6vaD8ZJSFtceN+29ziBnUiPtNZTvU1d47UxjK8swiVJIucigA3zGa2M0w7FBdv4rDJakwcGEkho5RbTJ3E69ltyMVXn8448/jscff3zue2ZxOrcZnj9ekDcRqqtRoWG8DimmBgpWQZnrXVSsLj8KAM6s8zwVz93IuhjfdHo1LxZ4i6Tqcjm1mnla1O9F8WjVA2AVODsr9WCt0sHKb0X5XXZqVLKCYh5dz5qhprMUuHfnNSqm6nc+95rX8dvjTPpVD27K9IAqru9McWqtizBoYbUb7kvhNY3T4sHCZXt0jBfVOqCS5Ve789ej6ji2bQR0zLFCq5XlA1KkdyD7zFTh3D/gI1Ya2DGJEoyjrGudU0Sb4hzoHq/FjkiFsFY4Xbp0CZcuXZr7nlliLrzCgNY4BegZrySV5MLtTqMpvAyYFN0a+rdIMauuD1ZJGXV/0un1zKdFnUX1/I0hBp0AZ9czlmB3FiMlXpRAJu10wlal/Z07omSx6Ol36LO0tsZZq3OVkg5aAoNO4GS8VLr9qk5eUUG2js9hNNPHUaz1QnII7N2CWZzipVsjAMCXKmnXHKgw3iNFFhq9cJJSFgPbgSzig8s47QWqEjd3zM62plmFynipzVid8SqnQZjPpcjUM3pP6Q+rrVFUMl6Me7nBwYO6Ho/0mVKjgfGiEgs2xitoCWfAeJSkxc+qI1Mz3IVTkjPIdY8XgAPLejWFlwG2UQZAmVPiurC2KjdEFWfWMuaJOpz2+s4EZ9d7mTzWCyEl72FxY2eKU6vdImCuuDCpjJfJXE+YYA/Mp+ZX0QlbmDluLlWY6RivYmYmgXnUMV7rHrLtYcdvf+41JKnEm06v4pXNsdfvr6TGgWd21DhKcCovvHpt+viqvUTVJ8ktOuqMlwpEptwL9blyCuU0DPP9oBhq2ygz6i5/YzTD0X4nfz36wPrXAz/07z+Df/fJl/ft5x92qBDjo4N2NuOQ3PTkCECleLQMjFe71XJei7M4LQZqLxxPNNeXDPJ8VyOw3HSY1xNN4WXA1BAMV0VIuLCKGIda0XFmPSu8qAnDt3ZnOL6SLZJqZ8yJlLiRSzsK5SwuypxEU1djiCSVzsIJyHZk9eIToBko63O45o4nzsw0sXZrPb5se9jx4V/7PE6udnD+6x4D4Md67UxirPfCIpCWU7go2fv0el54hfvDtswzXszCSzHZ3XISBECbv6oKnHoIKoVl0I3vqiJrNnEXf1LKzBO0kg/pZkTD7DVmcYqf+8+X8aFffmZffv7dANXccrTfyVQE4kbI5fFyMV4TC+OVbQLK44UQxca/+vPNUqMgyeZDzUZG/T4HNb2+KbwMcDFeQH5hOC7MuiShoB46VJ/X7eGsMMarC4xTMNQLrz4j88c4oqRNf+huGQovioGykGt1hRe1yWGWzKXWK6z1QuxM7x3GK0klXtue4G++5w34qjccBQBc2RixXyeTjtsYtPMGCUbhcr3uN+wE+yIJqAX75GqX3CSiUATy5teUasKhZOMNDRuJoOWWzUuPlznYmdLlO5olmCUpjuUer5VOgCiR+xI6qYalA+4HfQM9VHPL0UEWJ0HdyBSFl8njRRgZZOxKDFpORchurqcxXoq5rifXAw3jdehgGoVQRdhyV+Tb4wjdsLVQwK0yOvqArCvxxGpWOPkEf97cnS+81I7Z5QVI8u7OgWahp74GkM+m6+sZK9fNvWuRGqmxHlkkho7xurfM9RujGaTMzPWKQeVGQcziFJujCCdXu0VBzilc1FDtk2tlh+1+LJDqujq11mUzXsNZgk7YKliqbuEpcb+OSWqksAxjAuNFKV6UNKU8XiqeYj+Yxy9fLxnX52/4eQ7vdWxWPV7tgDyv0+RlpifXp8ZnZLvl3lRHyeKA7vIcaOyt7vlQMF7M6TB3Ck3hZUDR7WGgUQHVdeGWGutsF4CiyqdU9GkqM8arkBp5MwallNioGGkBkE3RaoetzfFiFF5Gxqvl3tVYpUZykK1+zIqSGinenLsBt/J5nydWusXnwQ3OVNEkp9a6efEhWIWLKvQU29Jr+2Xu/OafvYan/uh59nEK6ro6vdZlFxyjWTznGWQxXmpge42BLTcR/lKjildx4b//uU8DyK4DoIy7UfE3dxJfrkjdz90YWr6zgQnbFY/XIJeNKc1XU0PyPI/xskiNLsbLZq4PiYyXRhEprDT74B2lgDSr8V5EsROwSI2URW57YpLY6Br05jhCKlEUXmX+FT01PknlXOGiTLWbjsJrbOmiGjB2yabCi6LjKypZJzW2CQ8rwM54JWkWSqn797sNt3bLPLcwaOFIv83O4CqiSXIGddChSxvAvCwCZIu+j7/o7/2/s9b0P7u6hX/6V/6ctjC3QRUxJ1e7GM6y4rvuQTFhOJ2/XtT9QfHW7Ob3bZ3BpWwibPcjkAVfUhivZ2/s4tGTK/i6t5yce739iJR4bXtc/N230eX//rFn8NlXtvAr3/8X9+q0DhU2RxGCVpZLqLq3J7F7TTPNWiyvRUeAqo3xClqkjnWjub6S0Wi7L3VSY7fIqTyYhVfDeBkwifSmwyooi9zWOCpCIqvoFoyXe5FUD8vjudTYZ+rXOmljrRdCCGDL8dC17bDVebg62mZxinGUaLsas/Z3/65GirleSonhLDZ6vIB7J73+5lAxXlnhfXylg9vc1PmFwssdCVLFxijCoBMUi32fmfpex698+ir+5IVb7OOKwmutAyl5RtxR7XpaZwxcN5nrKZ1kJQNt8HgRGGQpJXYmEd7/rrPFZ1B0p+5DrIeSrQG/+3BjOMO//ZOX8adXtlgRO3cTNsczHOm3IYQo1mrKxnxSeLxeB8aLIBXaPF4hMdJC93wr5pY25vrDhSnBXE9Z5LbHsZXxophZb+UPy5P5w7LPCD8F9At9qyVwpN92Bl9aC68OLSulnGunY6zcrKFdanQXsGXat76rMTvHe6PwKhmv7EF3dNDGBlNqVIXXyVUVRZDFilCxOcpmyin4DLStL8YmucIG5Us7lb8XnOJxdzrfJav8i66RP0Ali6u2tqg4CWtXoyNOguLxmsYpokTOPagKqXEf0uu3xhEePNYH4HcfVovu/Zr5ud+o3lOciBcj40W4FgE74xUG7o71KJHWrkbAXfxpC69C+j+YjNfdr614okz0tZjrCTLZ1jjCY6dWFr4etLL5VrPEfWEoX85xNe6n48d41QuXo/22W2qM1HBp/9lwZYisTmp0M15qMa4zBNk5uFkCk6cGQEFzc4Y8X749wq8/8yrOv+8xsjR1UHBrd4aWQLFIHx908BpjggJQMcevllLjiFG0bI5mRWI64Fd4vbo1nvt/H4lsNEsQtkThwRzNEpxgHFtd6BXjRZk5OYmytO9Wbb5dUNxPdqlRCDMTT3nYleO7FqVSTgG9V9gaRzi73sOgE3jN7Lx8u7wWbu5OcWylY/nuuxO3dmc4kkv36nO1BfEqmDxeITEf0cl4VdbVj370o9qfb9o0qbV5lqRWAkTXJVw0/RzQwqthvAxwjQwCaDLZziTSMj1AdmGRpEY1Z3HFT2pUD6V6F9WRQcfp77ExXm1i0VIPm6wiJPjklDFeO4g1cMdJlJ1glq5I4pgVAPj+f/s0/tff+AI+e3WbfMxBwa3hDMcGneKhf2yl48V4rfXC4t7gJGUD+YzAlTrjxZMEXr6dRWD8vb/0RgB+Xg4Vk7JSMAT016g3axTDvgmMi2kEF2U+3miWYNAOjAV/2BJIHGuSbiO031LjkUE7b3ThF17VOJQbu/T5t3cLnr2+gz954RbOveEYABSF5+bYfV9PoqyQr/usig7bJTxe9ZE/58+fx/nz5+e+Z2Ydkk1rnNqZxuiGrTnmbIUht+4HmsLLANMMqyooXRtTy6DtTtiiSY27MwhRtn63gxbCluBLjTXG52i/Tehq1Msi2fnTMrRU4aVNng/cIbT1OVz14wE761YwXtriMfsdKCGwQNZhqgqu3//CddIxBwnb46jYGQPK48UsvDTRJJyiZXMc1RivbHoBJ8Pp979wHWFL4L/6ivsA+DJeWfHEmeJQHjs/5JojWZsaOUp5x+bx0mfqVV/DtSap4qZ6Tw32UWpU4crrvTaJpanj8sa4uI9v7vKu5bsBv/eF60glcP59WSCyYrMp81PVJqBeyAcEmU9KaWW8KCN/XLMaAbeiMtQ8H8qYm6bwOlQocrws5npKjpcrII5i/rs1nOJov11ciEBWEI5nxMnthtygo4O2M8PJ1kVV+quoAaiGrkaChq8r2rJzcC8QpkHlAK1wq+IXL10uftYnnucbuvcb9e7S9V6ISZSygjPV+CmFAWMoL6D3eAGlr9KFNJX4xUtX8C3vPFt4g3ylxkEn9ApbVEWbQjtokaWy8Uw/WJhyLY9nsb3wIqxJuxoGWrEO1A1IHf/x2Zv4wV/6DPu4OEmxM818sL5hxpdvj/BVD2Vsz82de4/xUh2NajOkNlauxinAPJWEkikXJRKpNNtx6lacCxcu4MKFCwuvYR4ZpEZo8Z+xamPDncF6p9AUXgZMosz/EVpMu6EjWTdNJeLUbB7sEnNKstT67tzXem36iA9TUvaxQQcby0iNIU2m280XU21XInFkkInxCgly52hmM+fTDJwA8HtfuIYf+uVn8J5HjuPbv+I+XN0cO485aKgXXpxIEIWbuzOcrDJebTrjlaQSm6Ny/BVQbm6ocuPN3Sk2RxHe+9jxogjxkRrVbt9noO5wmixcT1TGZhzpWSuSxytKtGHGCmGr5WQOtzUMdGfJwMm/+VN/gp+/eJlcPNfP5Ui/jfU+P8w4SSUub4zwrgeOIGyJwn94L0Hd04q1UlFBFMZrMku0qg6lq1F91uYcr3krzpNPPoknn3yy+P8klUgsz8fCyuK4L+NEFmxx9fx77da+xKNQ0BReBmTatXlnCSg/hfnCVLtH04VFlRpv7s4/qICso3BZc32/4zY1F+3rmsW+3aLJdDaPF2VkkI5Krh4P2HdmivHS7uwY5vo/+tJNSAn8y7/z1bj/SA+vbU8OXfBqvfBS8jNnZ3izxnitdEPyAndjZ4pUlrNKAb4R9upW1gxw35E+OkELQUt4SWRqjJR6cFDvpzL3bf56Wu+HZMZrGY+XS2q0DdkGyvWgGu+i3gNfxkuB66nZqgR/rvXaJI9cFS/c3MUkSvGO+9dxlLCRvBuxnc9NVeiELax0AtJEinFkuhbdUQ6u6S6unEv17DOZ66lTSeJUot1afI1Bh8fE30k0hZcBsyQxFkwKQUsgsTx4lYxoo1JpHq9p0bqvwJlArxbDusepGlBngk1q5JrrdcVT3YBpOt4UjkmJkygYL42vpuxqdBdQr2yO8dYza1jthjiz3sMkSg9d+7qJ8aIuUJMowc40XvB4Dae09H/VjXj/0bLw4kp9r+WvcfZID0KI/F7gFwyjKEG/E7IGXAPm62mt16YVXpGeZaB4vMYzvTRUvAYhTkLn8VJrnc+sxurP22UyVqq5p5Aamcf/2SuZ3/JdD6xjpcvzGt4t0IVTHx10SOb6keF6Un1Mtk0xifGyHK+uNSPjRZzDG6eptvFq0An2pVmEgqbwMiCKZcGmmOBa5MoL08x4UaXGBcarHZDHIQxnWddHXTZV0oZtnR7lkqvu5qBLjTHagdC+DxQD5u401qbWA9WsF5u5Pme8NHESlABWhSsb48JTdN+R7E9uFMN+Ik2z4Ewt40VcoIrw1ArjdXTQRpxK0tigV3O26ux6v/gal3G6upm9xv1Hs9fod4Ii9oSD0TTGoM1nvIqNzILUGJKkxonBVxMQHjSmB2X5GvQ4iarUWMTbeBRel2+XXYW7jFgRAHgtvx5Or/UyqXYSsVjkz17dQjds4U2nVlmb0bsJurF0FP8uYN4ECCGcAahFyLjF42XzZ7kUIWrHeZRIrSVopRM2Hq/DhsgyQ0ohaLWsF4Wzog9aTmo/TSW2xlEx106hx1hkTB6pMorBvsM2SRshUWrcncRY67W1LfCULLQhxVxve1gZksIBuoETyNrWH8gLr7NHssJDFRKHAbuzGKmElvGihofeqA24Birjpwgyj3q/qoxX6dOiPfRf3RqjG7bKAc8Mj1kVqohRDw5q2KJitepD31e6Iel9XEbeGecsnQntgBYn0Wu3Fta3TtBie7QA4IVb5XxF7oPu+ZvZsY+cXMFaL0SUSFba+Jev7+KNp1YRBq28AL/3Cq9tLeNFGwVmY1BDx2QWF+PVdvgN1XOj6zTX26+HJJXFc6CKPrPb+k6iKbwMiFJzt4WC0+PlKLw6hK7GYf6wrI/bofiziteY6qU6SueK7cakS42R1Rzv0vB3DedPPQdbJAY1BHZrHGFnEheMl/IoXTtEhdfWSBUMFcar6P6hXUs3C8arLJxUFxVlh/3q5hi9dmvuQVFMYiCew6tbE9yXy4xAJin4MB3K5M4dL6Lk5frDrh20nA8JwOzToiR1j2YZS2dCQOhq3Brp56ZSPad1zDFeTKnwxZtDnFrrYrUblsGfjCyvF24Oi4BqbqzJ3QKd1LjaDUnso6nRA1A5lf4eLzVFwcRgUogJwG2uj5J0wVwP4EBLz03hZUBkSdRVCAJhLRqKit6S4+UqWtQiX99d9xldjUYzL4HKHVmGRyt5giI1Gs3xDgPmNE4WxptUQX5YdYKFpHCglEtdn8OL+c78DccHAMowW0rn0EGBrmBQ8ivV46VykqqMl2JjKYXXa9sTnF3vzbGfirmi5ollhVcpVfowHc9e38Ht4SzL8WJKjcoAXt8MUaIcAHMnGWUwsctc3yZ4JjfHs4KlrKIbuhl4HV6+5S81vnhriEdPZoVTGUJLe41ZnOLy7REey4/vt+lNHncLpJTY1kiNlO5WQD0bzOv7UoyXI9zaaa4ndpybGK9Bh8ZA7weawsuAKEnRDpfzeM0c5vpO4N5hqkWovqPhFF6TOC3GDFVBGbcznsWO9H63R2tnYpEKHZEcuxZjfvbzKQGqFtaOaOD8zCtbAIB3PXAEAHKpRniNONkv6AqGgvFierxU4QlksgZAS8rencYLDwll1KdmML2WM14KPlLj3/qpPwGQ7drbgYAQdKnTxHhRxvUAZqmR0sLvMtcHLXeXsEqKr6MTtrziJF6+PSruT+6D7oWbQzx6IiucyhBa2j11eWOEVGYyJaCYz4P5oH29MJoliFO5cC0GLWH17ipkjJe58LE9G6YOxqvelSjlPPsVET1erudLnMjiOVDF4ABLz03hZcAsSbUfZhWBw3zolBoJ1H7hJ6ntrruMTq5JlGiDYCls0SRK0bfMq+wQfGo7tXbn+jlYGTdLjhhQ7qqsjFdtoPH8z6dJjc9c2cTxlQ4eyA3dQgis99zJ/wcJO9PFWA8+4zXF0UF77ppWYagUxms0XSwcjvTbaAeCNO4lSSVe257gvopHzEdqvLad/ay/+OaTEEKgFwZkf1NRwC5IjfYHFZA9ROJUaguvtsPjNYuzY22FV5sQSLw1ng+wVeiELUw9GK/LG2O8/b41ADzG69buFDd3Z3jzmVUA5RpH7Wx8KfeWPXxCMV4HV1p6vWDaBASOokkhUwNeH8YrdGxqpwQrDuA218epXmrMGK+DeT00hZcBsSVRV2FpjxdLalxkvKjSyMSg41Oo3Imh60WhHdobDACX1Gj3xajf0SSvBARzvY3xohSfAPDMK9t41wNH5iSyI31+7tB+QrERc6Ni2vyuxpO1MF91bVKK0FEULzQ5CCFwcrVLYrxu7k6RpBJnK1IjJ0wYKBmVH3z/2/At7zybv0aLwXgtDpkG8jBgx0ZqbLmeW62MeTNtAspoF7O53rUZBPLJATrGi8DA63B1c4w3n+EXXl98bQcA8Naz2bFrjEHjAHB7mH2f6rDte3r9DjNshVfiWJfTVFrzKl3SuSqcTF2NrqkgpdRomDtKaP4CsrVbLzUeXAa0KbwMoEiNrkVu6qBS2ySpUX9jcQJUM8bLz1g+ie2FF0VqtI78CQSkNO/y1YPKNO+yMGBa59uZzfmquLaxdnGS4rnru3h7/oBQWOu3i+TtwwDdBIMwaOUJz3TG65RmikK/HZC6qEZT/Sbg5GqXxHipaQH3H5lnvDhBic/fyJgSZcoG1KBuelfjajdcaGFvh/b2eSDzdwHmjYSthX+UR2bo2LLyePfs083xbG5WpkK3HbALr0mUYGsc4YGjffTbAUtq/OK1euFFn3cJzGeAAQdbWnq9YHo+hI6MSQBFHJHpegoc7KlrnnF9U3vu3DmcO3eO/POpHedxIotopCpWOgGGs+RAhlw3hZcBtDgJBxUbOTxeBDOrerAvdDW2A8SpJOWAmTpXKGzPNEqNOWSAOxJDSpl3NS7usNXxgHlXo1gIV6SFlfHSyFuc41+6PcIsSYtdvUKW23R4GK/dnNWqs48rHVoHFJAVXtVxQQpHB21So8Fwtsh4AZnPizLuReU+na0UXqvdNktSeP7mLgAUpmwgM5ZTRwZtjSOtdN4mFD1KCjNtJGxrikt2B+yFG5A9LCdRqu1q7HrESZQ5XF2s9ujXEZBFQRwdtItCvjTX0+6p7XEEIcqCbdDJ1kQf1u4gIEpSfPtP/DE+/vlr5GO2DI0ermcTUDKo5rXR3qhRMF6G50Mg5rvmn376aTz99NMLP9/WVQm4bSBxmmpZs07RONUUXocGM4NhrwpX50jZ1ehvrlc3Vp0xUrsMyg7PRCeHhNlwLsar45Aap3GKKJHacUHZOdiLv7FjV1VKjQ7Gy+JjcB3/5Xxn/pbci6Kwfsikxt1phJZYNMMOGG3XN3dnC1MUAHpn4WiaaINsT612C+O+Dep+qAYKr3aDLHaF4iZGxni1BPCGE4Pia712QM/x0nSRAdlGJpWwnod6WJmu57YlANX1oMrOwf6wrI7oqcMnTuLadlkIr3Z5yfO3cvZUyfcrnQAtQWe8sgK4XXQr9z3mjh4kfOrlTXz26jb+0a9+lnyM3ePlKLwiO+OUWWncNhDX2mxUM1ThZ+iqJEuNhgBV9TVKd+edRlN4GRAlKToEqZHi8bLFSTgZr3GEtW64MBKhCJ0kLDJZ+/riR112UdluLjvj5ZIadzWG7rnjHT6A8ubWn4MQAm1HQvJopn/YU49/9nrGkLzp9HzhdaRPGxFzUDCcJljthgtBtidWuriyMTIcVSJNZdaV2Ft8aFPYHimlkfFa79Me2rqHxUo3hJRZ9AkFz98Y4qHjg7n7stsOeIyXpvCiyN6uTq7AEoA6cTwoAeXLMf981QChi5OgrEd1qMkNZ9d75LR0hY1RhGOVAloIgbVem9zVuFnLr1Lvy8hjisFBwB996QYA4M21dcYGq8eLyHjZ/LPWTXXkYLwchZe6X3uGrsrCI+aSGg0er8LcT2gyuNNoCi8DYoLU6Gq3pQSounaYO5NYW7T0OYxXrG9fLzoCrTeXw1zviIOwzWmsnoNpl0952LgWGdeYlXZgN0VvjiKsdIKF7p/1XhvbY9qMwoMAU5PD1zx2HJ++vOn0SalrbUVTxFIW+mmcIpX6hT5wyBr1c+jVCi+AHmXw3I3dOZkRyKVGYuE2miULc08Bmmw9dRmKLUyFiy0D3Kyb8kXVcwGB7D3gxkkoxuvMkR6Ztayey7Ea87beD7FJZJEX546qDt3DyXj96ZVNAPRh8UBmRanKrQqUmZ1OxsuRXD+JEwQtYXxOFoWXYX2cFFKnXQ1x/R5xkloLL1eTwX6gKbwMiBK5tMdrlvslbOb61GIsB4BxFGOgeVhSC684yaQ+/VBe945iEqfGrhUg62q0aegqh2tNw5IA1V2NvZPLbvC3S77DqVlqzI630/LDmf4zWO+HmCUpa8TJfsI0weDPv/EkokTi4osb9uPzwkzXVdcO7EG4QPlA1BUt7cCdPwVki7UQ87ts9dCh+IvSVOLFW0M8dmqeVei1A/LnODXI75TcIddmLLSMIVOFoYuBBsz3dPEZaK4DLuM1msX4pUtXcHK1g7VuiFNrtAYJhdvDxVFoj55cLbodXah3Z6qC/rBKjapovc4oXpUiUg+HbhGkRpdn0LUZcvl/nYyXZaIIQLPCADnjpdnIBAQGer/QFF4GzMiMl/8QUPV1G+tlSp0vPF6ORUbJJ/pxOXZ/U5obVU1SKeAecr0zzT1qxgBUO0tAYbxawnxzx3lhZNpVAW7WbjjVMxxKcjssWV6m0UsP52n8t4b2BX80NRdOlNFPipHSFbEq8NHl01Lho1W5dIUxb3JjNMMkSvHQsf7c13thi+zxMnkmOw72Nvs3e8ONzZvjat8H3L6WsvjVFF7MOIk//vJNfOnaLv7Jd/45CCFwaq2L28MZqeFHSonN0WJ35bsfOoovXdshfZZ1r50qIA5rZ6NqLuGwhibZO2wJ0r0EQBuurV7DqiQYhr1XjwfsHeudsLVgo1EIAiLjler92G0iY7YfMD+N7nFkXY0uj1cLMn9Y6MbRuJLrq0NA+9BfwKaUa7Xwu7KHSsZIYz50XJiqcDT5q4B8RAmJ8fKbtTiOKPKK+aE/sshj5fGuEFd9yOCRSheWmt14kGGSGtXCR2WsdO9F6Bj9NH+8jvHKCwYp0YL5vtPdD6qYpMwJLD2H8w8rThbYJEq0O/16UrcOTsbL4vFyBVYC874W3ZqiWEvdZ8A11//p5U2ELYGvf+spAOUEglu7s7muUx12pzHiVOL4yvzn8FVvOIpUAp+5soWvfeMJ62ts1oJg1XXJHVt0EBAnKW4NZ2gHAjuT2JmfqKCb0wiUbJWUcsHTqeDqanSFsI4d46tata7GD37wg7XjY6dfESB4vJJUW7xRMh73CyTGSwhxVAjxS0KILwghPi+E+FohxD8WQrwihPh0/t+3Vb7/Q0KIZ4UQXxRCfEvl6+eEEM/k//YTwnRFHADEBKnRFcfgDIgjaNDjSD/upzDXOx4Wts6T0JGTUhxrY7wc8oTL4+V6DynySksImE5BsTRLM16awq1ofz8kBvuhofAKiTvLkeWhnRXgriiFPEdM81lQF8nxbJFt4kiNxfVY2wis9+nRIKaHIsXj5WLBrR4vx4iW6jmY1pSRJstNoRO2WLL5n17ZxNvuWyveCxULQYkFKUz+NcbrwXwyhEuyjJM0S+CvSI3qOjio8/lsuD2cQUrgHfdnI8mub9NYr21T4ZU/Wm239Ngp9dkZr+E0NnYkAovryoULF3DhwoXy5zsYs1KqdAeo6p6x1HDs/QBVavxxAL8ppXwbgK8E8Pn86z8mpXx3/t+vA4AQ4h0APgDgnQDeD+AnhRDq3f0IgPMA3pz/9/69+TX2HhSp0aVhT+MUnbBl3HFQZrNNZol2ZA/V42UtvIoRJaYdtlvacEmNaodtCjBV52DO8co6MnWMYvkaZpag/PkOc71zyLbG45Uv9NShvvuNrIC0FD2OBWo4M7OHlPZ1G+NFmRsK6KcwFOZ6QoiqLr0fAI4POtgcRyRZYmrwPbrY2+q/mQcDUzxeloeVw9cytHwG3ZAXoPq5q9t4V14oACjy3ShS2UZu8q97vKgjvF66PUKSSjxyomySWGUwnwcNytelQppvOmR/BVPzFWUzNXLYOAIHi23Kh1RQjJfNb2htmnIcr2AKUKXmgO0HnIWXEGIdwPsA/AsAkFLOpJSblkO+A8DPSSmnUsoXADwL4D1CiPsArEspPyGzNrCfBfCdS57/6wIps2DSjktqFPaHxTRO0bUUb4FjNhtglhr7VI+XCiC1DOV1dRRaGS+H1DiyPKyz490eLxflnjU56P9t7OicAdwt+MOZnfHaD4/XcBrj7/yrTxZRFxRkQbaWGYGOBWpcMF56c72LrdIl5ytQ2CLAJDVm/8+RGuuF19FBB1K6wzullJjGqX4SBCWQ2GE/IHm8bIHGjvdxNIvREvrXUOZ6SpfuziTCxigq5iQCwMkVOuN1e6gKr8XEdcD9sC2z9cpQ41UG83nQoBg+leJ/e9c9BQIw+zZdpABAm6KwTLe4KnzS/Hq6dOkSLl26VPy7U6psCat/V8EUoEq9lvYDFMbrMQA3APwrIcSnhBA/JYRQd9v3CyE+I4T4l0KIY/nXHgBwuXL8lfxrD+R/r3/9wCFJJaQ070oVXBf3LEmNkgJA2+WbdhUq+8TFeNkCSNsOI+6E4K9qO+ZNupK6Xb4YU+FZRWBjvKZmeax6DradnWnI9pF9lBqfeWULv//FG/iBn/8U6fsnUYLtSVz4cKoIiJT8cGpjrNzm+l3LZxEQOmwBfbPJWj4VYZeQXr9rKP5UIOttx9gjGwus7icbazRzFE9tq8fLXXhROslWOotZbtXXpXQ2XtnIRjc9dLxsUjgyoG9ElNRYzfECqvP97NfBl64tZuspCZsT4npQoFjCovAa0gqv4czg23SQAoA7ToIW02Pe0CoSSn2WTzzxBJ544om5n+9a213p+WkqkUpoPV4h8VraD1AKrxDA4wA+IqX8KgBDAD+ETDZ8I4B3A3gVwI/m36+jiaTl6wsQQpwXQlwUQly8ceMG4RT3FuohrEvDrcJF504tA0iB8mKxPa+y8FMz40X1ePU1IXUl4+Uy89p32LaF2iUVth2s29jxHgJqLpn+3yhjVjqBSy7VdzWuFVLjnS+81GLyhVdprfdqtMt9R/oL/0bdGY4sjJerQQHITNcAcGJ1sfhrE6XGcZQseB577RZagubtMQX6qgJgw/HAs7HAbUIB65Ia7YxXgrAlrOuSa00yTQ4AynuEIp1fvp0F7j50rEz/X+uGEIJWeJmlRtp18NyNXTxwtD9XQActwU7PPyhQhdfbzq4DAG5RCy/DppDybBnNEnSClvF6aglRsFU6jGcxi/HS/Xwb4wW4iz91r+juJ6p9YT9AKbyuALgipfyT/P9/CcDjUsprUspESpkCeArAeyrf/1Dl+AcBXM2//qDm6wuQUl6QUj4hpXzi1KlT9N9mj6D8Ee6uRvsiN4kTR+s3kfFaIk5ibPGFtB2LNInxckqN9s6VVrFA+EuNLZLHy2YCtbM1I0OOVzcM0Gu39mVQtmLZ4lSSPAxXtzKG4j5NtxlFlgDsHq/MJ2c/j5vDKTpBSzvnkGqun0SLnkdO4vmuodnjeF4AuOZN2u4JiqdkuRwve24S4PbVmCYHACiyzSjytWK8HqzEcrRaAuu9NrHwyuYs1o3h7cLzab8Orm1PcP/RxWt5tRtid3o4ml2quLEzxVo3xPGVDnrtFm4TPF7TOEGUSK19gPJsUZtiE5YNpla1kK1xys142TfF6vfTM16HWGqUUr4G4LIQ4q35l74RwOdyz5bCXwHwZ/nffxXAB4QQXSHEo8hM9J+UUr4KYEcI8d68m/G7AfzKXv0ie4nIsTgquJiCLGCO0rWhPz5KUsSpNKTOt9AORDHh3YSS8TJ7vFxmXmsXlYMtGs/sGVpFF5Yp3dixOKjXsO3wAfdgYdNCP8tnTeoYLyDL8tpijEnZK1Qfbq/mbJYNuuHSCm1iUOEoDy/VsT2u8SJAxnidWO1oZS7qeJCxoRA/sdIhsQTDaZb0Xb8eVHeci/FSLLA2noWT42UZs2Ju1knQJUgzgB/L8LZc5vria9vWnwFkhdegE8zNzARAHhu0OZphvddeeGAWD0vHZiKbGbrInHIHdR8E/LtPvoyf/o8vFjaAEytd0rVc5OppNoX1KAft8YamoeI1WsK4LmfH2xkr5WE2bapdhRugRmi5GS9dcv1BjpOg5nj9fQD/RgjRAfA8gL8D4CeEEO9GJhe+COBJAJBSflYI8QsAPgcgBvB9UkpVHXwvgJ8G0AfwG/l/Bw5q4XR7vOweqSzh2j9lemwpmoDsATieubvAALvHy23mtTNeNqlxHMVOA6XtHCi7oixOwrzDB/QRBgrtoGUcl2OT14D9m9dYlTdfvj3CQ8cHlu8uizOd1NhqCQjhpuRH04y91MnG7cDd1Xhrd4oTmgHbAL113BQofGK1U0iZNuxMY6xqPE5Uj9ckMt8TrikMQMl46R4UQFZ4mDZTrqRwwP2wsQ2MP73WxdFBG1+85pavr21PcPZIb+F9PNKnMV63h4vjggB6h+3N3Sm+9rHFnK/DKDV+6JefAVB2hR5f6ZA8Xia/IuDe0AKZjcM6cN2yCZBS5oWbf1eiqysyOwe7xyu2PKsp9+N+gVR4SSk/DeCJ2pe/y/L9HwbwYc3XLwJ4F+P89gVqV2paHBVchdMkSqwdga7CTXWdmKS2Xscd+kjpajRdmBTGq+3YkVBbhk27onGUaIcyV2GbKTZydO4A9nE3NnkNyDob96OrsVrsvXRrhL/wJvv3v7o1xtFB29rBRImTMM9Vc+d43RrOcGJlkaVQPx9YhvHq4vmbbonMNDZp0AnQCVqF98gE2z1BmtWY2CNmbA+7aez2O1LM9XWWSkEIgUdPruDl2+6B6de2JziztsieUguvzdqAbAWKuT5KUmyOIi3jtXYIGS8F9dlSCy+1qbSFItveR1eAaWDZ0Kq5qzbGzGnFMfiXqwhbwppzqdYca4DqYZQa70W45AAF1y7dlPejQGa8DBdnvx04zfVjy4PCJTHZ2DIF1zwvV8uw6+YYE27OljAXDeNZNsjVOt/OEqBadkXqF5g3nVrFxZc2WLEOe4HtcYwj/TbagSA9KDdHUeFj0oEy5DprXTd1p9KlRv3xNLlTl+MF0Bmv3Wm8EJ4KZEVHt+0eEk1hkG0McBRLY5QEkN9PlvvRxXi5mA7X3NJu2EIUux9U13YmOLO+WPhQC6+N0WzBWA9k16GLfVWf88m1xePXeuGhyvGq+hKVr+skcdi4LZ6F4tt05nBZxg65Uu8p56ByLm1w5QOW5noNC1/E5DSF16EAVWpcnvGyF25OqbHdIuR4mbuwAocBk9K+7sp6oaYTm831tK5Gk6dFN9uvDptMZsp9UviBb3ozZnGKj3/+mvUc9xpb4wjHBm08dGxQdJjZYGJ6FNqWB77Cq5tjnDWMRnKZ66WUuLk7LdLN66AwXlE+8F0vNXZxezQjFI/6EFkgu85dUQrqntBuZAjF4yxJrA+b7Fq0bOSW3Ay6fDWUJgkpJa5vT3Facy1wGK+jGqkRyK5Fm09O5YRpPV6HTGp8ZXNc/F3dG2ePZIWXa9aiik/RmespbA9FjTAV8Cp8lVR45a9x8eJFXLx4EUB2Dc0SuwcasI/QAsp7TReg6lJ09hPNrEYNXC3fCm5zekrzeJmiFBwjHbph4HxQqEGkOl8OpXAEYDX0tvLCyzQTbDxL0D9q9xEAy5nrWxZjt0mamj+HlvGBrbxUukG0AArpjDIYeC+xPcmG4/bagXO8CmBnq4CsCHctUK9sjvHn33hS+2+hw1w/jhJM43RhRExxPMFUreQXXVfkydUsAHVjpDddK2yNZjhiOAfKkGhbejylk2wWpw7Gyx4n4XxQOdYUU+Bm9XhXAb49jjGNU5zWZMIdHWSFl21GIGBmvADFnprfwxuWwkt1Vbp+/kHBldtZ4XX+fY/hyfc9BgA4s95DnErcGs60uXsK9kBie5MFkK3NtnulZQ2mzn52nyQ1Zi9y7ty54t/Uc4uykbAzXuYEAkq8y36hYbw0mCXmD7MKN5VqXyhdx9vCTwHaUNtplFpncQHmRZrKeAF2TwnFXG+OtKC1HBsZr1mizTCrH296WKqoiCN905Bvdyfb64HtcYT1XhvHBm1sOnxJQLY7Xu2avXIuj9csTvHa9mQuPkB3vCn13DUsnbJDf/qlDQDAVz50dOHfVAHskhtv7JhZN8r9NLExXoQohCiRaIfmdcXl8bJZFwD7/ZSmErvT2LiJAOyyu8K1naxRQzcYfqUbIkll4S3VYRIlVq+Z61pUnacnNMffd7SPcZSQOisPAq5sZGz1B7/usSLf7nTunbu2be9WLsz12hyv7E/XZsjKeLXMhVsRpkwYcq27nGaOCQ7V16B0Nd6VQ7LvNag4CTLjZZXJKDlefnEOlB165pEyt67bfv40yuIDSEnZDqnPBFvhJqUkMVa2XZGpC66KlsXAqWQTk8FfCJH//DvLeG2NI6z3QxwbdEgPmWxAtn0TYPNCvLY1gZTAA6bCyzEFYccQXKpAkekuvrSBTtjCOyvzARVUh5zNHC+lxI3dqZFFIBVeFMbLkeNle9iElly8iSOeBrAzyDuTGFLqGUOFDqHwUv4j3ftY+EYt90M5INsgNTrOQbHQuuHQD+XXJ8X3eBDwyuYY3bCFkxXvo4p8cRVedo+Xexydy35gM9e7bDBAdROQfZbnz5/H+fPnAVRGZzkZL1pXY6iRGqkRNfuBpvDSwJaGW4WLznWFf7pujlmxuzYzXlNXjldsLjyEENY5hZPcU2Kj7F2M19jhKbEFPs6SrHOGkm5s64qkMGamm9MlNRbH3+FdleoQPJoXXq75em6Jyb7AqZ25kfFybCJMwaUKFD/GF17bxtvvW9cu1u1QsU3m47fGEaJE2gsvl8fLNnResZ+OWY0dS/FkY1+njkBmwL6ZUp2wdsbL3d1ajPvRSIVl8WlhrAyp9dXXsBUMW2NzEa9iVS5vHI7C68rGGA8e68+tsapp4TVH4bUxnEEI/T1FiZPYdWzGbOZ6SgNanfF66qmn8NRTTwFwj86qvoad8TInEJSM18HzeDWFlwZcqVG3yKhhuhSZzpWjZSoAu2Gr+B4TXF2BtkVuGrk9JbaFPk1l3jljS403m+vLzCTHw8bW1UhkzEzF8/YkQido2ccmOWY97jVmcdlOf2zQxixJi9gME7JF1v452Ioe5avRyUtAVWbTv4arScFVwAPAxjDCKVNXJEFWsDE1AI1BtpnrFZMVWV4jSlJ0LOuKNUCVkOMVWjq5tixMUfV41yZic5wVTjrGSjGfNoO+KrxMjFfoMNdvTyKsdALtqJui8Lo9Xvi3g4grG2M8cGw+g+/UahdCANe27d7Nz17dxhtPrWqLnzrbVEecpJhEqZvxMqyLFKmwDHFdPAfXBIfiHByyczne7y5Lrr8XQZUabXPRymG6/l2Nrl0BZYc+cWT/2BY5l1SaHZ//DprXUEGQlBwv3c1hS92few3Lw8oUP1CFnfHKPDFW1o9gTN9L3BqWBcRRgsQ2i1PM4tRaeLkWOMVymB7aLqZDdZrpohyAsmCwPXC3xhGO9PWFl7pXbYyXKh6X8nhZpUZagKq9q9HMPFJyvJTiontgFoyXJRev7ZhEAdgLuDahALYxZoD7ftoeR0bWbrUb4tigfWgYr1c2xwsschi00AncasYzr2zhzz2wKLsD7o2Iyid0rQkuNYbGeOnVDNfx6jVsXY3qtXVSI2WE136hKbw0oCfXm+WRKWHOoYvxcp0H6UHh8DjZ2nUnMYEtsujolKyXYlaj5kFRFF4ExsomdbqPbxn9TVn3oL3517VD32vc3MlzjFY7RZegzedl84IouIIKXWyJ61pWjJfpoe8a7gxkY2aMLAlhd+tkvMIAU9dGJkrREno2XL0HrpFBtoeNbfTSlJTjZbYvqOHXtuvZNQIMALZGEbphS7s2UPKjVHeq1VzvYLxsxeN6v00amL7fGM1i3B7O8MBR/eB623twfWeC6ztTvMtQeLm8t5Q1wVp4EQon21QSqrk+aJnDrQHgQ7/8GQAN43VXwNaiWoWtole7FZIx3biryF7DdHFTpMYJYWyRyZNCkzbMv8PIEYdRPV63yLi6OhWshRfF42XxtajuQevxFp/c64Eix2itW7AGNsbLJfMBbo/X1jiTd0ybABfbs5uzLS6p0XT8LE4xnCU4aiz83IyX6njUdcMBQCcQJMarZ8iFo+V4pdYNnd3j5TbXWz1ejkYRwD30HsiKfFMBTmEeNx1So9tcH1uLR8rvcBCgpERdNp4r0FhtIh7QDApXxwPmZwu58DIUblNC4RRaNtXF85GwNtveh+duDOd+lu7nN4XXIcGMKDXaFrkJifGyL9Ql46UvALthQOpqtM/jMo96ITFewvzApEiFdsbLPO6oitCyQFCkRtsitz2xt98D7sVhr1EwN7nHCwA2bIzXzC7zAW55x/awBWj5UYB5oXfdC4pxMz+s3RJXUYAa3oeMQXY3q5juCUrqOiXHyxQFMUsY0r/mHJTUeMTwHgK0ANWtsTn8lMIybIwiDDqBsYh0GfxdjFfYEk4LxkFAdQNVh6v4HBbhqfr3wdWxXm7G7I1PUkLbuEORGm3nQCncAPuGsDouSMf82djf/UYToKqBKnjc+rP5g1X+JttCGTjkFRedS8sdcqfn+ybvq+MBO+NlkxptjJmSKinZRbYQWlpXo/593BlHxk4+hexhdQcLr0qApLpGrm2ZO6CWlRUAFV9hf2ADZqZjZxqjG7aM17IrfHTL0V1K8VcNZzE6Ycss3TsGvgNuFtiVuj5L0qIDU4cwb9SoB4CWgZPU+3Hx37bHUdYFZ2t2IXTobo5nFsnZzXjZwlPVa7gKr7ecWTP+eyd0R2IcBNwq7mP96CRXFARgniFbsE1GxsteuKlzALK1uS7lUaTC+lSSxx9/fPH4JTxeKlPvB9//Vn2XcSH9H7xroSm8NGAn1+sq+si9ULqo0IJ50xgHAdqDYjxL0XMMiLYFqNrkKcDuzaFIjbY4CarHyxSgqnLASHEUMlsg6gn/w1lsfVCpn38npcaN4Qz9doB+J0AfAdZ6YRH3oENhbLfsbp2+mrGD8SLESZgyvNTPtx2/VXTSGcz1BH/V0NHZSQ1QdXUJu3K8uiR5Bqg+60pTv//IoO1J9vvrpliU598qgnBNDSVb41jrSwJozGM2INtu8Le9h9vj2JpFdlikxhu59K1r9nB1Su847AO2dRWoMtC0kT/1n0KJk6g3Tl26dKn4N2qchM3z6Jol3GoJtMTBZLwaqVEDdVHpDHtV2BY5CuNla7cFlB9EGBfKbpiNurEtUlMHa9WyynR0T4mW9SNIjbadGWVItzoHWw4YZdYjoDeikjo773CcxPZkvgh68NgAVzbM7fMl82j3eFmN7WOzsT073t3V6Oqgsh1fhG66GC+HPGN70GRMif1zdA2qdnWHuroaTQ07ZZc0TWrUnYOr8AQqXYk29nNkZrwoEwhuDwmMl+FzSFOJnYmdfT0sUqNivHRNBoGjm2/okM1dzSpDgu9TPZ90p0FhrFq59K5b2ylTUQC7jYOyGbnTjU9UNIWXBoXUSB2Srflg94Lxihx+EHXR2xaZjPGx70pMdPSUMCfR9jtQHvi2hXrM6GrU/Q6uWZcKtjErkyhxGkBtg41fD9TNxQ8d6xMLLztTY/P2bLkYL0di+e40dnjM7CnTrrTzIrzUwXjpxqsodAK3Z9IVipzFQdhzvGxMuokxKrqkHRuhlm0jQ4ijCB2ScZJK3BzOcMKQp9YmFMBZd6ql8LJci+MoQSrtsvlhkRpv7k5xbNDW5pG5fG4u+4ArF0/5Pu32g+xP3YZ0lqQQQm9qn3sNQ8YiPcfLvCEk+agdQ7b3C03hpQFXarR2bdh2twSPl80PUhRehodFkkrEqXTOi7TOhnMyXmafG6VwEiKjg63mepdUaLi5KWMtAHPxqEJwewQfwp2UNurm4gePDXB5Y2RMry8H2vpdBwCh8HIUPrsOxstmCgeqoZsmqdEd3Dmc2dP7SbNPCaHItvfRzXjpC9CyC8x/I+Ri6wD37NFXNsaYxSkeO7nC/vkKG6OoaAoxvYZt6D3g9o0eBqnx5o55oLvrd1D2AdNGolRTzAw0QGO8tDlcOSngGkRe7YwUQhTfz8nxco3Ucz3fGsbrkCBKsqwe3eDNKmyLDG+kgtnjRWK8DA8LEh0szKntkyUZL8oDHzDLM0WcBKH4W4bxMhWPlBBcQEmNd5DxqkktZ490MZolhW+jDprUaF7oozzles0RQwCYmY6daWw93lW43RrO0A6E0dtDGVWzO03chVeSWscvTR2MV+hY6GeOHC/TmjAhMOiAW/p3s7f2z/HZGzsAgDedXtX+O4Ux255EdqnRcj9R7mlXR+BBwY3dqbHwcs0oHE5jDDqB8RkVGgp4hdEsRtASpLgjk1ToUoTUa+jyATk5XmZiwG3ncW2E9gtN4aWBK2tHwbbIucb9VI83musd56EWYVOW14zA3LlS3yn+KkDPVBTmekfh1TLIncWOxjmfzi5Vkj1e9cKLQGWr4+9kVkzdXKyuA9MDn5anZqb0Od2pZjNvhDVHjhhg3oTc3s18QaYddin7230xK5bfoUuQ7t2D783xLFJKRIm053gZBm1TGHTA/j6S2FtHk8Sz13cBWAovh1dvaxxBSlgZr7bF10NZU9qHRGp86dYQD58YaP/NZV9wsbdKTTHZSEazBANDHl3xGhbvq2sDUX0N3fHkHC9LxzlNarRL//uFpvDSIHYsjgq27CFK14brYTNzyBrqwjcWXkQDpGmD7pJVALspmurRMhUu9F1Ry2CMp48cAhb9SZQGCaDsBLtTqDNeriiHcS4x2RjcwLLQjwkPO0pXo83jVWRgGX6HW8OZMekcyGSMdmAOAwaAkWNQuLrObHKjK9vO5s0pIyHcjNei1EjbBKgGaH2ntXsj5Zq5+cLNIU6sdIySr+s6UKn1xyyfpS1OYpSz6LZNQPuAyktVbI0j3Nyd4RGDZOuS/p3NKo6uxkmUOoseG7EQOSTz6muYpEpgOcaL0nx1UGXnpvDSIMq7CV2webQoY4fUc9A8MsjOeLkeFIXcaRvKa+g6iZMUcSoZjJde6nM98IG8+DPItWHL3NVZnoPp59MDWAGdvEOTOtt3ME4iTeVCtIN62Jmug9Estj6oADtrR3nY2eaiSSmdQ7pd53B7ODUauqvnYPscXOfgku4Bt0/KLtm6m3ZMsjc1TsKaLUjq0HVIvrsz48gloCJVGor4TYdXT52DbRMBAP22PU7ioDNeL97MEtcfNRReWR6cnb2ldAmbPJOUxqnA5vEiMl4mqa8MKXfbeWyzhAGH1OhoUtgvNIWXBq6CR8Emr7jG/QDZLt0WEOcy4nYLxkuftk1NF7YO+aaODNIwTiNHan71NXQ+M9fvr6A6X+reHE5XJLDI2hW+GsLD6k7tqoazGKmcH/vScTBeo1li9XcB9rycUqq0J99n56C/lqJEWhmv4hwsTMnxFfMDX52DaZGWUmI4c8dJAHap0TWoOmNr7Ay07WFTmtv94iRsm7lJnDg9Yi6Pl7u7lRYLYpUaLXESlPmvbUIsyH7jhbzwMjUpuANU7deyyz9MGaVm6/Z2+Y+L1xCG50teuLnN+WYLROHxsiYH3Fk1goqm8NJgFtOkRtuuwjXup/oatiHZtuO7jh06pTuzJfQaPL3d1x4HMXDc3Oo1TA0KpM9B5c3UXoLc1WhgLqmMV0gYs7JX2J4sDjouWQbzw8r1HrQtCxylk8zGdCjTv83jpc7B9MC9NZwZZyxWz8E25zBJpbUAJUmNLnO9TWos7ilCaKWpq9FxLarNnMkz6WI5XF2NrsLLJXuT5oZaZG+Sx6vlHvS937i6lcW/PGCYiuFianYcjJdtQDVA9O8W66r/ptjEeE0je5BwcbzlWqCN5buz4dZUNMn1GpClRouOzmmX1XV9AO6L27VDp8zDClr6wcDUSI1C2tB5vIiMlymHi0xnVwqnqqw5IZr7zS38NF9N+w76CNSg42qHYNspNSZOqTGwLPQUc72t9Xx34p4Vqc5Bt4mZxSl2JrHV4wXYZT5KYKRLapRSZnKdt9ToZryMHi+CrKLQMmxkXGxd9vNdUmGEr3jQPWbGfS25pEI74+XqajyID9sqtscx2oEw/h4ub5JLanQxXhTZ2WYjoa7NVRvJRz/60bnjXewtYO9KLD1e9ufbQWS8msJLgzilMS0qmXdZ86DNjLveMS9yrgdFsdC7pEbNjkaZlCnnD5gZL1LhZQzZk2Q6G1j8HMhSo+F4yo0N2DvZ9hpqQHaV/XGa65ecV0mJBSlH3WgKr6LocQwbb+lnXqo5jTZ5CrA/sNVsOlecBGBuVqHEi9i6qKYk6d/l8aJJ99ppGgSWw+XxyiYY2P1ZgIV9JdyTgYWlIOV43eFJEj7YmURY67XNXbqOhp2ho1HE1pEIZO+jbYQXUAnj1XYl0u046hzOnz9ffH3GON7I2sVuc307sE/k2C80UqMGVKkRsHTk5ayZS8MOLRdGpqObj6d2NdooXVOUQ5Qf6xqbZJ/VGGNg8QUpBMGSjJdhkWF7vOpdjcQ4Clc33V7ite1sGPbZI73Kz1eFl3mRdTJeFuaVNYFA8xrbk6xwopjrdedQmvvdc0NtyfnZOVg8XkpqdDDIvuZ6Uqezy+NF7iSb/xqFrQPsHq9JlGASpXap0dJkARCLeBL7apOMhTOPbb+xM7HPm3RJZC6psSi8LHMOqVKj7jSixN3xDpjZ14gcR9GClKaRcu57IjigsnNTeGkQORLjqzDKZIyAOVtXo+3i7BU5XnpzfeEz82C81AOMPihct1DT6GQT4xXFNMm3ZVhk1CJNbRCo/wqTQmp0y613ivG6nhdeZ9arhZf+Ya2QdTU6/FWWHTZFarTJEkpqdO2wTaNiKD8fcEiNhOKtLDoMZl5K+3qgZ+0AmnxvzJRjF14mcz7NXK8r4pXMTRqWbiniw5awrmttiyFaFW6290H9DgeR6VDYzhkvE2zm+ihJMYtTO+PliJOgyM7FyKAlnm9Vv+GFCxdw4cIF3vEWBnWadxjbyA1bJtx+oim8NIgSO9NUhalrglq8WbsaHeZytWtUsQmLx+edlS5zvebwWUxsDrB4eygjhwDzoO5lGS9lJnbGUQR2xouSFn6nPF6vbU9wdNCeWzTVdWaVGimMl8WcD9CkRt3nSDFUq9fQM6c0r54tRsA12w4wh5cqUAJ5Xfcz4O4yBvQjg8KW0M71052Dya9IGUoM6EcvbY7t8zKBSuFmMcdTml2SVOqnUeTdeLZ7OnQwwAcBO5PYuhFpWxp2SAOuW+ZRbICyH7g6ZJc317cqm+onn3wSTz75JABG45RlQ0cN+G5yvA4J4kQWJlMXbAFxyzJertdQC5iSYhaPV8WTbaE35HjlN73rfbAaMGP3bLjsZ+glJurN2TKwbhRvk/r5gC65npac376DWTGvbU1xtsJ2AdU4CQPLQJAaw5Z5MHHBODl8OYBJcs6Pt8h86jW0QbwEeQmwS1TK42V7WBXMoSkEliBXUqRG2z1tYt0mEU3aAfRrEoWtA6pSodlrd7Rv9njZJGcg+yxd12LBWBkiatzH580mDhb6f/vNL+Cvf/QTuJazyHcSO7V5q3XYpH/KnEXAHqXgCgJW5wAsmeNlsJFMGV2RgFlRcXfpNsn1hwau4dRVmEzJ1LFDtq4NF2umigr1YNKdA0DI8dKZ6wnGfMDu8aIk3wPmSAvqPDBT4UTJqgFsLAOtq9F3LIWPB+Xa9mROZsx+vktqpDFeJi/FKIrRCVpWtsX2wKV75fTvIyXAFcjN+U7Gyy8ENnsNVbzZGR9Xcr1L+gcWHzRUhgHQj3+itN4DdtZvK8/gqkaZLP5sR1dj5M6Us3XIjmfugkG9Tzb5P0pS/OQfPIdPvnAb/8/f+7L19V4PbI9djJdlEzFzs7dANsVgmXFwhYXDxHgRo36MHq+lx/K5c+kOaldjU3hpwJEabYwX1Y9h0+Fdu+N2IAoJpI6IsMM2muuVP8wl01lDZJfbFdENmObCq0cKcLV3klGS66NkMcDVhp/64+fx6Id+3Vg0m/Da9mSB8bJ1NaapxCxO3b+DJQuMKlUCelmC+j6a7iVqHlvbkniu2KoV26BwR0ff7jQrPGzFm60jj8J4mTYRcZqSZEZA/8Cljr+ysX6jyM08qhwxm7meOklCdy1SGC91P9ukxk++cBtA9nn97ueuG2cavl7YqY39qsP2XCikRpdn0pDNVzRaeE70APKuROLavGwOGKC/FqJEEuKazNmA+4mm8NKAKnEBZmmBWjSErZaRUqa8Rr8dFFJOHcswXjHBmA/YR5RQGS9znAR9V6U7hwlRajQVj5MoRUsQxlp4mHn/xX94AQDw+de2ycdESYqbu1OcOUKXGov5gEtk9nAedtrEdMb7qPsd6OZ68yI7IrAErnE3uznjZWMqbOn5qiikzG+tv0aUSOcmqPoai9cyza9YFPGaTmlKRyLg7kqkdNgCBsaLEFHjajYBgM9e3QIA/INvezte257gmVe2rK+5l4iTFMOZPc7B1rBTSo1+G5kpsWnIOTKIaqXRPh/t4eDl8ea1laIq2WJy9hNN4aVBRBySDajQR8OO4HX2eAHZImiUGgkjSgLDSAe1aIV3gPEy7YrIo5sMcidVaix3dvVOsIzKdkeC2OUVHVRn2J8xFvwbO1NICRbjNS1armm7W53Pi8J4KSugyQTbbxPeR4e53hVNElpiPXanCTpBy3o9usbdqO5Ma/FmmQBQ3o/uOIkFxiuhM166zRT1YRtaik+K1w+wzxmkmusBs7zkYk47jmYTAHjh5gjHBm38la96AEFL4Hc+d+2Oeb2KSQ4Wj5ctv4qSSQeoZ4s+FgRwM9BFjteSio5RqmQwXrrPkqJMNbMaDxGiJHXmVymYDIwc86GuCypJJVLpTr4fdEKz1EhgvFqGOAx6cr15bBJFgwfMuyJO50x2DprCi5icDyw+cGcxLQ6j3XIv9HWo733mCr3wKjO85mcW2jxe5agZIuNl8Gi55SHzznRM8JNkr6GXCqlMS8cSZDucxk5zvyuIltJNFliyxKizU4HFwidKJWNNWjRmk312xYPOXAA7ZWdLCz/FXL9sRA1Fanzp1hCPnFzBsZUOvvqRY/jnv/8svuaffhxPv7xhfe29wA4hXsU2SYJyHQL6PDeALt2bQlillOTnm4l124uuxoiwGXFNANgvNIWXBlTjH5ANpdVeFDGVSjXLbIC78OlZpMYp4TUCg7G9nDVJe2DXf4c4SUmFo3oN0zksFaDKlBrrnyO5QcKRXVSHlBJXNrJZbc/nw3IpuLa1mOEFlJ+RboIBPUbALBVSMn8UMWqSGkmFl+GBTcl+UsfbRgbZ/F3qeMDMXO4QfGLK76cDJ8er/ntEcVoU+C60NNJ9sQlzPagssvl4lqAlKLl45uT4UUT3ePlG1FCkxpdujfDIiWxA9Te942zx9adfev0Lr43RDABwzDIBoG2TGlnxLPriFXCzn6YNbZxKSOm+loBMKlTXopSlD5Y7Dk6f8+h+xtoCyvcTTeGlAUdqzBgvzQMvSa3DcMvjDWwPcdbjoBNgHOnjJCiLbcuwKyoDVGlSY32HzQ981C+yrDgJzS6fyrQA+q5GWshfvsMmegmubU+L9+fq5ph0DFBhvAxxEvqiSUVi+D/sJpE7FkQIoQ3uBFTrOm2R1pq6iTM/bcPKhzN70jdA6WqMsdKxZ0gFFqmRMjLIVPjEqUQ7JDJeGhadEi0DEIbed0KnZNwObOb6FH1HAVzMTtWsi1PSoG87czmNE1zdGuPhEwMAwDe/40zxb5+9Svdc+mJj5B6Bldkv9DIfJZMO0BfgAK/ZBVhsmKEwtwptw5pAD2Bd3uPVJNcfEkTEBz5gpnMjRo6XfdajfZEbODxeYUs4HhTmgDyAsFALPdvEuTlbFp8ZNQcMWPw9qIyZaYHhMm4UxitJJX7rs68BAN73llO4tj0hp95f256iE7QWhkUXO/wlGC/1HujlSoafQ/OrTAgRAIB5kabIU+p4M+OVWLsRgSpTYvZ4uR52ts7KotGB4jPTMFasbMHar1DaDtw+O0BvHaAXwGaZbDyLSZly2Tn4Ml7mjQiQRTlICZxYzST7h44P8A+//e144Ggfn7myaX3tvcBmznjZZl6qa1GnBAxnWbyLs+gwdItTZWfTyCDqswGwmet5Heu614hT9zPWxKLvN0h3shDiqBDil4QQXxBCfF4I8bVCiONCiN8RQnw5//NY5fs/JIR4VgjxRSHEt1S+fk4I8Uz+bz8hXFunfUKU0kbVAGaPVkalul/DlFBMZbxsUiPl4jaZ69Wi5bq5VEKyecQJdaivqUHB/R62WvoHJn2Qq36HPYuTpXLE6vjFi5fxbT/+x/hHv/pZtATw/neeRSqBa/ngaxdu7U5xfKWzwDgErWxYu6loAuhjk4yGZiJzaGa8/L1+lOwnANZh5cOZu2iyGcsBYHcWu1v4LQt9RAo01vubYmIXGKD/HMgbKRvjRSiaALO5XkpJCvO1ncOExHiZNyJAxdxeuR7+7tc9hm//ivtwZWPsPePx6uYY/+BjzxSFjQkbQyU12hgvM+tHaXbJXkNfAFPXBFPDDMU7rFDNtTt37hzOnTsHgDckW3cOgJIaKbL34WW8fhzAb0op3wbgKwF8HsAPAfi4lPLNAD6e/z+EEO8A8AEA7wTwfgA/KYRQV8lHAJwH8Ob8v/fv0e+xp2B1NRoubqpPzBhHQVwoM6nRzHhRCiebuZ5i6NU1GHAYL5sBk0ZnZ9+zyFgRmRpDF1WU0OQdl7QBZN2L/+O//wxu7E7xljOr+NC3vh0PHOsDoMuNG6NIO65FCIF2q4WZVpohdjVaWAJqaropFmQSpSSvnSl8lJL9lB1v7mrk5BaZmJLdiVuuVJ4W3cN7liQIWqIoLHQwJcfHKZ3xaonFNYXbLKMtgBmeSRNbJSXD1G0svGjXsim5fteQ/H56rYtpnGJ7rLduuPDf/tSf4N/8yctOn5iSGq3Dxg1jzAA6A2zaVJdzO2lFeH1dpUjm1ddQm6Gnn34aTz/9NACGGmF5Hyhj+WwB5fsJ5zZSCLEO4H0A/jYASClnAGZCiO8A8PX5t/0MgD8A8IMAvgPAz0kppwBeEEI8C+A9QogXAaxLKT+Rv+7PAvhOAL+xZ7/NHiBJJZKU4/FaLk4iNMyX43i8zDle7ovbaa4nLPbaESXEbjp1fP3mTlOZ+VoYnS/195HKmJkeuHsxyFXhly5dQS8M8Pv/w9cXC+6z13cAAJdvj/DVjxx3/pzN0cxoyDVJXKXHaznGi9SdapA2xrPEursvjrfESVAeNLbsoynBp+Yakj2cuguvduVaql97lOvJtgnoteksfL3Rglp4uTxeZK+dLY+NOKpG650lyN4dx+e4M8kKnzp7qZpWru1McIRwvVYxniVFo8y1HXssxeZohvVe6D0JYsTo1tbez9QZtAZzPUUyV9DJzqorclnGK3sNhwfZshnbT1Cqi8cA3ADwr4QQnxJC/JQQYgXAGSnlqwCQ/3k6//4HAFyuHH8l/9oD+d/rXz9QKEfl0BY5W1cijYpdvqtxYvF4ORd6w80ZM94HHWvH3hUZbm7qe5id8+Iun9eyXCvcyIuDm/F66dYQj55cmdvlvuH4Ck6udvG/f+ZV588AsiHFx1b0D4R2qC869srjRTHHm7KHJnHiNPcDKnxUnztE7Yo0PWwp3qCiM9MoV7olT1tXICU00rQJiFOO71TDQOfvi2s9UMnzJo8XSWo0RGqUo5/c3XiAPsssTqU7EiO0dzWaugKLwssjz+uL13aKv1/dtB+/MYpwbMXs7wLs7Ct5Bq0pY5JYOBm7vQkTGIpz0DwbVFFO3ZQDpuR6gsfrgDJelDs5BPA4gI9IKb8KwBC5rGiAbmWRlq8vvoAQ54UQF4UQF2/cuEE4xb0Dte1awTSWgfPQ1i30LMYrSrTSBkWqa2nYJnWsOj8XAo3PjdfV2FpgSmaMz0H3sFOM2TJjKTjFM2A31790a1R0USl0whb+1te8Ab/3het4gRArsTmaGQ257cAgNRK9ds6uRsJCb2qSmEbukUXqHHwLFsDslwRy1s5RPAohrHIlRbq2BT5mg4GJcmft+DiRzjDj6msYpUbCRsq0mcykRoLXzmCfGFNzwCxdxgAtzgJwS431HK0z65nZ/to2zXNZxedfLbshX92yWwc2x5HVWA/Y/YYcqVHr8YpozxZn4UVivHSbAFrHPGDvaqRYgtTz2de393qBUl1cAXBFSvkn+f//ErJC7JoQ4j4AyP+8Xvn+hyrHPwjgav71BzVfX4CU8oKU8gkp5ROnTp2i/i57ArVgUBc5q8eLSMXqaHnl8eq6kuvbAZJU6sfFUBgvY0ehMgITFmrNDc7yeAl90UM9XvewK29uDuO1+LDiFH4mU3aSSlzeGOENtcILAP7We9+AdiDwM//xRevPkFJicxQZJbu2oW26lBVc3T96j5eUktzVaCqcMomKVoBr7wWGLGFkvMjFn1mujAjShi3TjVK4mYoO6kZOvcZCVySjE00XwApkBThV8tVdi5zRT4BldqprSLZDajQlx59e82e8Pv/qNla7Id52dg2vOhivzdEMRy3+LoAiNboLYNNEEOpmrGXqWGesrbqRPZxr0cp4Eew8Lt/mfsH5m0spXwNwWQjx1vxL3wjgcwB+FcD35F/7HgC/kv/9VwF8QAjRFUI8isxE/8lcjtwRQrw372b87soxBwblzpDj8VpcZJKUtkNtG3LAZsTzsBm7M/OhO4crlVjYEWTt68KZ2aNew+zxongRFllDqicF0HusWD4Ew5xBMuNl6KpUeHVrjCiRePj4ysK/nV7r4dzDx5yjg3amMeJUmj1eof5hRzXSmhivbPi3+2EHmBPLJ5F7zAuQFfm6e4liogXK3bVudzslTiGwzlpccqGneA7LPLS6zLZcV2OUpBCCtqE0M160rkZbEC4Ap0xm2ghNyGOPHFLjRD/svN8JcGzQxpWNkfX1dbiykeWCPXC0j1cczTLDqbs7tm3w+gF5dympy1g/u3TGnGZRVyMipo2kXsRzbCQmBli9juv5FjqK8P2Cu2zO8PcB/BshRAfA8wD+DrKi7ReEEP8nAC8D+GsAIKX8rBDiF5AVZzGA75NSKhPS9wL4aQB9ZKb6A2WsB3jVPJBJdfqMEVrhZfKlcJOmTSGsFI8XAKQyY54UqMZ2QO/tmbGkxuV9BOqcFTi7KlvbNLVBAjDf3Mrz8WDexVhHvx3g1mxm/Rmbw+xhYZMatYGTxN1tYFjgJpwmCQ3zKaUke7RsA3Up10G1AK5GuSRpZual/A5ZZ6Uph0u6u6gs7CdnPl1dMuXMagw118Isl2UoGylT2jcnyHao8Z2qoGffWY1UU3ixGTWwHDvTGJ2wpX2dd95/xGtgtmp8ecvZNfzhl25kYbuGRowJgX0t4iSWyFNradZVgN/VuDD30zNO4oMf/CAAfg4YYPZ4uZq/ymdDCsD9nt0pkAovKeWnATyh+advNHz/hwF8WPP1iwDexTi/Ow6126V7vBZ3d2masQQBwR9lMiRTL84is8aw0FO7mJJUzrW5z2L6vEod08FOrtcwbgCNedQljvN2VfrCiTPkGzAn198eZp6RE6v6oqkTtgrfhQnlmBGD1Bi0tJ4WanepMb0/Wu5znOWjoygPClOchGJfXagWPZ0KmT8jFp+AXa6kmnkBs9ToK/VFmi5JE9qawo0zBs02XJkU61GJEKiilBrdMwaBxWuROupG/Z7GHK9JPJfhVcVXPHgEF/7oefJmQWFzFOG+o338+TeewEf+4Dn85xdv4+vfelr7vROC9N62FBwTandpq4VxslgAT4mbWiU1LvhvGZvi6rV04cIFAMBzN3YB0LsigcUCUs0ypoTI6o7fb9DuxHsIMZPx0j1s1M1CysAyhD5SuwJNRQNAm4dV3FwLvwN9odYFJi6b40VdHAC91EgJq1RQz/TFooHG+hWygOGBfTtnq06sdLX/3g0DoxFYYaNIuzYVXiaPF9GQbOjGo44cAnIj6+swOooqNZqS5znRJm1DFEJxHlSPl6HhxrfLN+Ym12s7fP3N+VJKcr6hicUfkz1e+i5jqn3BJTXuWqS+r3zoKOJU4rNXeazX5jjzXz7x8HG0A4H/9Pxt4/eOCQWs1eM1S0hSozlANcuTczGoLnM96X7S+Q1ZHjG9DYTaLFL6fw9W4UWVGu8ZqAcgle3RMV7q/21BicXxhi4qKvNmW2Qou1z1zwsyWyzp74FmoeUl1y8Wn8XvT4qzWCw+Z/lOj/KgUy30i8WjO/tp7uc7GC9TFEQnbGkHXFexOXJLjeZOOrfEZGK8JgzGq2UxdVO9cjrWkCw1FpKvvsOWHElh+BwpjJVt3iNn9qcuuZ5+Py7OvKSybdnxi2taeT/S7gfd56iCnl1sjdoMLs5epUlkrpFBO5YgXJWn94nnbuHcw8etP0chTWVumO+g3wnwptNrc12OVUgpSYWXqYBXx5O6Gg3+4xl1BFhhrl88HqBuqluQMnu+fPpTTwMA2mfemB3PyvFaZHApr2GLd9lPNIxXDVypMdAYGNWiSTbX64yDxIu7bdthE6QyU+dKxMgN0g0KVwZOahxDfUdS0tm0hyUwX/ioocCuWZcKHU0OFj3GwL6ruj2MsNoNjUVoJ2wVu3kTSqlRX3iZJLIpsXg0ebw4TRKhpouq7I6lL9ILZl4iW2N6WHHkUtP7SGV8bPcjudNZs5nj3Y+Lx88I41XK4xclX3VvUT8Hm7neyXgZ5CHlN3TmeOXHmzYztjiG4ysdvP2+dfz/nr1l/RlV7M5ipLJko992dg1ffG1H+70qvb9H7Oxc8FxGtOMB8+zUKdFCoQhWU9QPr/EpxRNPPIEnnniCZSMxMX/UdcWWT7ifaAqvGjg0KLA3jFdqeNhk5+FiKsw7bMqDwtS5EjPGJulCYDkSk26HT/39Af2YFY7HK/s5ixITVRpyxUncHk6NbBeQvUdTB+O1MYoghHnMiOlhRwkOBSweL2InGWCIMfBYpHX+JIqxXF0H9UV2QkzvV+epZ49pjI9txh55EoKm+GPleGlkZ2rRB+glXyXdU+ROUzedKrxcxvJl/YYmBlvBdV8//oaj+PxresZKB9X4ou7Nt55dw2vbE2zlLHUVRSSG53ugWENaV6Oe8ZpSR4AZzPWcWY06z6OPjcS3693WHbqfaAqvGspuOLqxfHF3qBYpCluiOnD8PFI2toXCeNkyrFhZZibGiioxJfMxACw6W8N4cQvoujldjY4iMW4OH8HtUYTjBn8XQJUaZ1jvtY3FfNBalJcA+iJrouQnxE6y7Bw0w5lZYYmL1yLXWwQsFj3UeZXqNUxsFUDYCFmaXajFT31NkTILA6Z2Neo6XNkeL9PnSGawNVJjPnOz5VhXVPFq8htSJGNTowbgLoAHncDZ7FLF5lj5LzM2+k2nVgEAz9/cXfheqtxquh+p6f+AXvoHGCPA9ihAFaj5bxk2EmOuHfE5besO3U80hVcN6uFFbt3WPGwUe+RaYNTxgKajjrirsPmLppQh2SapkcF46eZNTuMULWJuUFuzyHBD+tQ5K0SMXVX2fWKuC4qT9O2a8Xd7OMVxy+y3btDKJQjzrmzDEp4KZMWrdndL9qnZGS8KW6RlSjyCbKufozofimRsYh455npT+Cd3yPQy81vbNamvtD/QN0K+0Sim49V7SvsczMn3tABWO+NFZUpMmxnXhrRjyMQzofRfZvfnIM8H07HYyqdGNdfXz0M1KFCkxrCln51KjVYxjUJjMVYaC0PEsZEYinAq62brDt1PNIVXDdwHtrYDicF4mTKgiorelVNiYbw4Sdn1ZzZnh6yTGhWdT80Nyn7mIuPFKRqqN+eUsUNX36dLvud1VeoX642hfTabWjxsnTe2cUGALQOLF4mx4PFSLfyUHbJmCkJM9GJUvyeZKzrohZspyJYje7cNHXnUjYBtbicnnqRaRBeeUXKX8WKTArVDF8hzxOqMGVtq1DFe9OHOgMZQndI/x441j80+uqkTBIhTqS1adKhHvdg2YkXhRPSpLTLQ6n70k/6B7J6mXodWNcNTKpwxNrUmxovr8TpoAapN4VUDd0i23eNFW+gBva+lHQgna2bq5AJoSdmBgfHiDOXVLbTTiEZnA/r3wIcp0e+q/DxePKnUXjiNZuYuKqCUwGyRErZxQYBNIqN1w5kZL3qThO4cOFKj/nOkM9CmTQxHotI1igD0phubp2SW0GaHBrXCR/2dLv0vNilERH+Z+vkL8hIrV09/LVK6+dTxgOZhG9ML0HbQKq6dOlxSo1r7XREvCiog+eyRfvGzAX3xTZUadewvUK6RtFFsNt8n3b+70O1NfDYBFTVCs5nai65Gt8drUeo8CGgKrxq8kuuXYLxsOjpHZvPtomoVjNfiDpcTqWFivCjQ7RA5hY8abqwbGcQ5h+pCy1kcCo+ZYaGeRKn1oa/O0ebz2siTsY3nYBjWzk3fXzYI1zhexPNaLplHeldjfRMzJcYQqNewzU6ljOACTOb6hByLUf0cuNmCuveBMj6sPN7c7EKVfI3NBQz2daHhJ1UsBzGmx3A/urr61GdELbxe2RzhSL9dbK6KrkrN8aW5nsacLjY58JpVTN3u9E3xYjAz9dkEVH4Pjbl+meR6auyTicnfbzQ5XjXExJ2tgp7xyj5kSlejqROL21FXPz5NJWnsjzHHK02x2qZdHtocL6KpWx0PzP8OXHN8nVbnFE7Z980v1JyxFrbiV0qJSZxYF1r1OdsiJXYmMdYs893aGkM0QC+8XCZW35FBBVvjWfyVMQZ05nEh/4kRiWEaGcTdYWulRs8AVU4gc3YOZfGniNZZkjrnAyroOgJ5krEhj42wHmU/X89ScDbFHU2WWfE6Dt8jZSNUxSsbYzxwtBwHRpEaqWOTFgtg+ueg2wgB2Tpjsz5U0dH4dzkdstVNwMWLFwEAX/Cwkei6fNX5UX5+w3gdcETESlpBMQ1VYzTP42XKKSEacQ3HUxkfs7meE7i4GJg45TBemuKTmtxffQ1t4cSKk9AwXsS0c0C/0KrcHlvye5ew0I+jxGqoXXbOoWkYLVfyNZvrGbKERmrkdTUaGK8lcrzIHi+L1EjNhas37BTvITm5frFw4bAUOm9QyTDQCicVmllFRLA+AObZqTFDcs2kRpvHy814UQ32VzbGc3NYSVKjK0DVlF/FyFPTbYQAepBv9nMWJVtqLAowr+icO3cO586d25NZjfRmF/PavJ9oCq8afHK8gGzItIL6kGk5XmqRXOwcoT0w9cdTzeH2HC/iDlvzsMoYLxqdrSs+2TMzazlWM+bx9QWGS4cLYegsLebL+UuNaSoxi1PrYm2LQaBsIlyMF9XjtUxXo82IS/kdTBIPz1zvyPEidjXW2RZWPElN7iwKDjbjNV+8LcPiswpoI1tDtU/oGa8oSSEEPR/RaK53ebwC+/1YhZQSr2yO8cBc4UWQGp3J9ctLjSb7wTROSSPAgExa142DIzNemsKHs6lVmWy+MTWuxqf9QiM11jBjULlA9YGVImhlF3PCkAZMnVgR0YhryvGijmoxmeupoZVAtkjozLhcj5eOsaKHPhrM8dTCK2xhPC4DD9VrkU2oLf2MvzJt273DNoWoUkbehIZFlhxhYFroGYVTS2Pm5Y2a0cSCsIy4+t0ta96kM8eLusNefFgB9JE7ihmp/mzq/agroqlsW3a8ZhoHYyNTZWuqPSVRKrHCYDl011K7ReuUzrxJi59jnGRD211xEgCt8Hr2+i5GswRvOr0697Ozn6VZD6g5XkUB7y81mkKVOYxVu7Xo8eKoGWHl+Xj+/HkAwFd84P+WvfYSDCy1ALUNrd9P3POM1+XbIzx7vRzvwPUG6aIM1EVC6Wo0dWLFxDgHE2NGlUZa1kWObq5fyHqJaPlR2TnqH7iqnZn6GvUdPkDvTq17GTh0OKB8bjYzrZvxMhVeY4IhNzAkdccpTWpUb7NvUCGgb7LwGYjrGydh2t3yokn0xnBqsLLLDEzt7lwmx6utYYxYvhyNX5BT/JnWNKrUaPb10CNuOgapkWLBKAovgtT468+8BiGAb3r7meJreyk1LsM86jZCQJ7tR2g0yX7OIgPMKdyqHqunnnoKTz31VIXcYCQHGEYG0XMum8LrQOF//v9+Dn//3326+P+YcWED+oW2YLwYHi/dzoZUuJkYs2JWIY3xqjOxMcvjpfeEkM31Grl0xlhkgUV/EZfx6oTzgYtcxs3UQj8hSI1FnISh8KLsknXyEEDPY1OU/oI/KqHnsemkjUIqpHT4arvx8kWa4bVbHP3E8QbpC1hqnIKJ7eDm0lU/h3L2K/NhV9uIkBmGJWNB7BE5hE1ALt3rIgToLLxeaqSsC0VXo4PxmsYJfv4/v4yvefQ4Tq/3iq+XG0lN4TWjXQdlHtwyGxn9e8DyeIX6HK9lpEZVuFHWFGC5UWQHVWq85wuv7IFb0vpqkaYyLcXOZC5tOyW/hqkTK8vRolHquuNnSfY7uR4Upnlcs4Q+okSX9s3palTnWGecqIsDkO/Majt8qh+kOF7bVel3vELp6XDvsE1djWOCLySLANAzNRyJSjejj26k9U+YBvS7fNbMTgP7q4pPWpivOQ8NoHdRmXKHfLxyZWeo/2aQY65vWzxey0i+lC7r8jU0D9uU4Ts1SI2UDRUl0BgAfuuz13B1a4Lv/fo3Lfxs0/FRkk/0cG2IjdcRXboPWtkc4PpEDA77qYuTYPkFDePcOJtqk5UlOz+Hx8vAHO43msIrmPfmqIuKXI0Xi/1yjFedaaAOxTXLK7QHhUlqjNOULm1o4iRYHi8Na8c5HljsBOPuquoBqtyuSl2kBkAz07q6GinzEk2MFyexXDffbpYkLJ/dQqYdx5NiMeL6jo4ClMTlv4ngnIfpHHjxJPPvIzfHS7cZ2yuPF62r0Sz5copHfVck3b6gkxop9zXVXP/s9V20BPC1j53QHm+6jnz9jtXXXDYjkhcsvYy5flE25hwP2Bkvd7MLrYi+02gKr9qAYqoPQUG3yJQeL7qfod4FFacpSVowpaaXXgaHJ0VJjfVdEYspWdyRUAexAnpPCJfxqqd9zxi7MmC5AFVg8WGpMCEY47sOT0kx380RJ1GPNQF4BbSJ8eJ4MRauoyW74Vgjg0zeIobM1jYYkulDsu2eS3KOV7K4nnCG1lfPWZ0Pb/6sv9Roi8hZ5n7KBoXTN1JaqTFxS32lx8ucqwcAVzZGOLveW/hMg5ZAS+gLL8r8XIDg8eKMAasV8a7mgirqxATA2xTrujM59yOwuKkGGOZ6R7j1fqEpvML5B26cSnL2E6Cv6JXsSJprVlyYGsaLtcgZpA1H+7opM4cadgjoAxN5u6rFB0WWtM0rnKrvAXdXZQpQZTFemoWeJTVGdsbLZq4vIgSWYAl0TRKcRbZeMKjjs/PjMCWLMttSMQYciSswmOuJzJ0pTJfFeAV1cz3d2J79jPmHtpSS1Syj83ixpEZD8cmRGpcd9F1nsBUoHq8iDsIwckghy+8aaP8tNPx8avHpmlHI6S6tboY4XZHZ9xniJJjNZws2kqUZL5r8XnqoDxbjdc/HSXSCYN5UndCYpuJ4DVuh/FIsxmshKE9iwOrkMi30RMZLu8hRmY4yMFH9zllWDE8aWcbjpXtYcXZV9cBFnzw3X6nR1UVFeY2g0hFY/baI4dXTzuhbcsYfKwDVlvlDYbxMhuSYIZu3DKnrRMbK2JGXMgrI2vsYM4rP7Pj5wqeMt+EwXosbQeprGCNylpUak5QcImsaGUTZULkYaIUrt0d4b01mVNAlvgN0qdHU7MINNAYWvX4Ac5RarCm8mMn1SSrx+OOPZ8cz1QhtrhxxooUp3mW/0TBeGqmRukgD+g4YVo6XQR5J0pTWhWUZOQQQcrw05vpMsuJFKdTPwbflWMGHjl7GR9AOazlgDGkIMJvrSQGqgWK89NIGRWrU7SyllIhYXj2dx4vHmOny4FrEJgcV/aGLBaHFGJjZXyp7GgaG1HXiA880G64cI0Z5YC76TgFGV2Ot8OFYH9T3mbvI6N4ire+TUcTr/ILUws1U+JDiJHKVwJR8D2Tvx2vbk7nE+ipM3bERw3NpCiSmNg0Va3vVu5rQh94D+nXNNeuyiqqV5tKlS7h06ZIf42Xo2l9mksR+oim8AoFZkhbeGK7EpQvbY3m8DPII1Vzfyv0EpvZ1nxwv7tgkncw1W5Lx4tzcgPKEVB/YdG+SOofqdeCV46X1eBFkwlAxFPrFYUzIAtMtMNwC2sR4UbtTW0vKQ6qwmPPaFQss515alCWW2UQAdAa5YCpMTQbESIu5kUH5a7n8mgp1Xw2HbQP07C1HMjZ1l3K7GnVp5XdEaszfZxvj9dKtEVIJPHxiRfvvJqlxxvAQh5pQZta1rNlUF7EmLKnRv4Aus/nqXY3+a7t6DUrOo4kF3280hVetdZhzYQP6okFdZDzGaokHVrA4K5GaG6Qz13ON5YXMlf8OSSrz4E7iWArNe8Ax4gKLhU9WuNF+PlCGU6rXoJhw536+oRuOJDUGiwWH/jXM52L1RzF2p/XfgVc46ZPr6YPKNVJj6iM1LvHANo6rYUimmiKcsxlbGJLNZLzq5nru8br2fVZ3qqYAViOTOFKjrnglFy1LSI2UHK8vX8tCt99yZs34GibGjbcRWrwf2euydk1gsOCaNYHj+6z+XPV3LuOl39D5e6D3G03hVdPzudW4lvFiZIGZLgzOIqWblciVRqo/njOMNvsZik7OXqQo+oiMl+494NLR9V16tkDxGC91HMDzJmXfZ/J4uaVG11iLovCydjUuFi2c8NLsNQweL8Yim8p5vyBP5tM0WTCYRxP7y7kWXM0qJMZHF8fA8FnVr2XfWY3qs+Q0KBQ/X/PAp0rGoaYA9vFM6iJuqMebCh9SnIQmV7COL13bhRCYGxVUhWmSRZQw8g0DsWAK53hv1Vul9XhRN8XhYh6aj40kSSWEyLL0OKwfkK+tnhYIU2rAfqMpvGq7G264W9GRNsd4qcKFvjtcvMEk2ZMRanYl1MW6JeYX6exn87qo6qZoFQTKvTmj2s6MG7LnOyIFqDCfsWK8EtbIIh0dDmRFUzuwv47JF1R9DYAmNc7FmjB9aroQVq+ZmzVZgV7Aq+MXd+jUokPH/nLZ4+rPrb4GtfAINB2uMaMIrsezUI3ECvXsoiL5nsG01Atonsy3uJFQ19UyHi9WqLNhI0SKk1CeSwvj9aXrO3jo2MDou7RJnSzGSyM1cmJ+gNrnyDTX6wpYv+T6+QY2jhphYrwo15KpSWG/0RRetXEtXKlRR0tzZIVuoB8XE6f0Dh7tzoi4WLc1D+yIuUjWmQou46V+TtXM6sd4zR/vIxmXzCe38Fv0QgAZ42UrmIBscdB9htXXaAk7Y6FPfeexdroFivM+djRFi88De+46YDIl7ZYoimeFLIuMfjygz+HihbCaGC+ax2u+gOYx0PUinMPAV39O1RvEm2CgWVNinm80bLUWio44ScmRGKpRpN6tTWF8yuvY/LB+dXOMh47rjfXq5+usA1zPo67JgRvlENcK6Oz86Oxp9X1IlY2EPSR7vvjjqBE6Gwfnnjb5b/cTTeFVkwq5MwI7Glo6YRReOqkS4HXwZIN9DYyXy3yo89UwF8m6tDFlyEPZz1k047INmMsyXrXFlh1nodmVAfSBtPU4iyomUYJ+O7Cm8Ou9FMs3CPAYr8XCiePn0Pkl+b/DIvM4S+gxBuYBz/TCo26Or74ehQWvM058Bnr+fuSa63XeoCyAlcdc+k4gyM5hOb+hjn0FaIxPq5WxJDaP1+40xlq3bfn5epZlxrgfdNmAHEWmbJya35AC/l2N3G5vXZgud23WsZeZhYFqxdHLzvuJe77wKsLyKkbUO8l4meb0xSmtqxHQX5hl2rWD8dJk1sRMaaPwF6WlXAtwUt8XiwZ+V+P8IkVNiFZQN3FReDEXB1OcBPVhYRqyDWRdjTaPmPr5wPzDkr+7XczsiZKU3gGl2YTEjAeFzpQd55I7febmIvOYpfczi0fdQ58VJLt4DurfXKizBPyuxJrUyDXXaxs1OHKt5ngmi94OW4vTPBibUZ3cCaCYy+u6tzuh/WG9O4mx2jPHYO6F1KidV5nwJhAAesaL7jPLfg/V7V145JgF8KxWvHF91HX2kMVAG2Tn/cQ9X3jV5+RxurAAPWPF6WoMDLurmHGDtQPdIkVjrXQPmhmjhR9YDEzkyCrZz9EzHVzGaZldVf0cuIxXPQ9OgSqZmgo3IJcrHYWXTt7hdKIB2WKqC+Llsgz10UvcjsK5XD0mA61jf1myhLGrkX4e+vuRfk/V4yAKBpoRHpr9zHJNo/5sQO85nHm8h7omCeqa0NUwwBGrgNbLhVTGRrcJqWJnGmO1ayu8hFFqJMeC6K5ljziJer4hwDDXB/NrOzVIWEFHTETctVXzWcSM57SOBd9v3POFl66rkbo46I4H+IGFXc1DO2J0Neq8OdTiR+ev4jJedXmGG/ioZpvVO/L4Aag1A6eHx2sal9cB15yvM+NSF0rbrmwSJ9YoCUC/yHLlHeN4EOYiO+/xopuBWzmzVV0kZwnd6whkzKW2aFqis7I4D44purbQc+wH9fmvEZfxqjFOhbmeWbhVP8eso9CfbWJfi6FGaox5sxqBxYgWSo4XoGdZFKSUmdToYLxMXY1LTYJIeIHI6pjq8QAvTqJ6HPX9U2i1BDrB/No4Y9yPgH5Ty3lOt1t6/+1+ohkZVDO3c2nQtqaiL2c10i4M3UM7YUmNuqC9/AZzSY2ah2XZScZcqGtmXm5XYlQz43I+h14YFNEN2fE85rKfM0qqg5Brzu+GgbbwohaAVsZr5pYateNB9kRq5Mzs1DMdvFgPgbpPjTWzU+Pn4Pg2TRIVhwkPNQt9KRfSPF7Vc4iTrDPU5vGb//lqI5TO/eyAKVX6DjYuI2r8Gz3aQQu7k3jua5xB32apkXZP6IZDK4xmCaSEg/FaXmrUyeZePjct48V7DfU+cj1i6ntncYqPfvSjAIB/fpWvJtTXVtZGKND7b/cTTeG1IDXyLgrdXC8u41Wv6KXMwwaJO9T6gGcgu1FaojRYmqCKpro8BPByf4CqmZdnBgbyhS6eLxo4N3ev3SqKJnU8dVcHACvdrLDZnWavwWW8MtZyceTPLKYVDjp5SiFjvPgeL04GFrDIGgI8xqscLlyTjJfwynFCMwGzEZebtL1gamZKrroMKoCa7Tcvd8YM9js7vsZ4Fan5/j43jtRoihWpvjblNZbJjzJJjdP8enQVsaYAViAz1gNweLxMI4N4XkHd7FO+z20Jc33t+cY116vvnSUJzp8/DwD4f/xPv8FfW5dptGjM9QcPpbk+e2jGexAnoYZFU3eoGVtSPrS5ngwdWxIRd4e6tG+uN6ju6SjOn1h4AvMdPFJKdqxHNwwQp7L0tTAZq5V89zrKF1WuOV+3OAB0acCWNTOeJQUjZ4LOl8NhWYDFXb6UktfVqDHXR4wxMepc65Ixq7tVO16E74vRMg3EQl7XkccpfuobmYgpty6Y84l+TwVdpzbH47YXsrcuP4rTcKRje4B8BBaRgTZJ/zs5E7fWM3c1hgYGmxc+qrmWGSGyusapKbNw6tSKcC5jBmRr47SqRjA3UyYmnhN3dNDM9Q3jVTBe5SLH2V3qWo8TSQ8/VedQvTnKIdvEm0PDVCQJfdZjfVSMjzcIqEojvPNXP6vaUQjQO2+AcpzONM4KzimjYACAlU52K6jdrK/HS0o5V3BTZ1aaZrsBmbn++ArR47WHmT3qfKhSoc7jxS2A6xMA+CO8NPIMp5OsJq0ocPPIjF2NhPdyceQPj/Gq2x/YHjHNCC9OanwZQrt4LS3jN4wTSWaLTN2pVAY3bOnN8UC5RqxZpEaTVMnZyOiarjjsrXYUm6fUqN7HIiqIzXiluHDhAtJUIkkfJJv71bnquozXLYxjFaZw6/3EPV941aVCrrcHWNylc/xZ6hzm5BlGV6T6+cNp3Q/B2x3q8p84HrPsZ6qFnrfDBrLCSe2KuIxfdnzp0Rp0ArZkXDBes9LjNejQb49O0IKUyAcBl+cdJalVkiiPN0sbkzhB18F41TvhAA+psXYd8wtwPVNC7eICskVyfkg2s6tRwxJwZOe6X7E4D7a53hTv4j6Pei4ex9uUHd9C0BIFi54wzfW6ooUVQquLk1jSb6jYV06AavXnKlALL1uchPKe+UmNnHmTrWI9Ko7nfA6hRmpkMl4LRbzaFDNVoVmc4sknnwQAPPyD/zvLBqIz1y/rldtv3PNSY91czx3gCSxeGCp7iHP8tHY8wDPn1/0QPBOmqPlyuFKj8vbMt79z5JFeGGBcMbYDPDpbMV6TOEWcSkjJO37QUR4vxXjxroNuhXGrYkbuajTvyiYEqTFsLT4suVJj/WHHZS7rmXjqfKgPfCC7lmNPpgXQG9t9WIJlzPXtWqNI9fWoI4OA8vOLEsmS7YF5eUe9H/QstMWihdOJpjfXL+c35KoAptFPVMbJJjXuTiMAdnO9jsFWg8KpbI92ZqZHkO1chhZzbS1zJmtSI3NtrK+LXHN9fQoBr1P54DFepDMXQrwohHhGCPFpIcTF/Gv/WAjxSv61Twshvq3y/R8SQjwrhPiiEOJbKl8/l7/Os0KInxBUE9TriLq5ntM2XX2NeamQPp8OwEK7benJoPsh6sZujjxR392VcRL0OAygIo2oBz5jV9PvlIVXmRVDp6OrjFfZMs3zIYQtgdEsK7y4g1x1Xr/s/xOytGGUGuPUGSdhf9jRr4P50Es+SwFgIbmeXzhVH/h8j1hce2CnkhONssgSAHyPkynQ2CtOIuExXkB2P0zi0rcK+DCXtQKYWrhph2Tz/YbLbAatUiNlI2SRGpXHy1Z4meQxgL4u6q6jpaXGJIUQvMYvYF4Rqn6d9Boaj5bPHN1Z7Xpapst4v8G5m79BSvluKeUTla/9WP61d0spfx0AhBDvAPABAO8E8H4APymEUE/QjwA4D+DN+X/vX/o3WBJl4ZV4mboBTeGUymLXSkG3HSwcD3CkRs0uP6UzDQuGZqZEpesMBejSBpA9KMazecaLU/io4m8SJV6MmRACg06AYd7VyB3kqqRAXxOoKfcHyH4n17xHnbzD/RzrRQ9nzA1QNWXPL/QcqXFB9mZLjUIrcXE7weodprzhxotBtGozRtlr1ot4bmcnMM94xUzpX9cNx5G4WppcPp9NwNx1wNwEmOYtcqRG0/1YdDU6AlSN4a0cU7imq3EpqTEvPOmNXznjFc37b33iJOa+xpQqASyQE5wN4b0wJPs7APyclHIqpXwBwLMA3iOEuA/AupTyEzKbP/CzAL7zdfj5LFTlEe6uSqG+SHA9XvUdAVfi0fkROIt1/WHH7oar7Uh8crz67QCT2P/mVoXPNE5LUzlTMl7thsWi6st41Uc/UXfYJh+ClBLjKEG/4+pq1Hi8lDneczyIjy+nepz6O98c7398fUB1xH3Y1TKw5s6DYezWzU4lByrXZGvuewAoxqvmmSQHqOoYBl6e2kIun0fDzlKd1pYmiWUZaMXM2+7JUCNVRky2KGgtxpJwumt19yN3FJvOAw1wuxqDhXWR2zFe/dnZ+dwbQ7IlgN8WQlwSQpyvfP37hRCfEUL8SyHEsfxrDwC4XPmeK/nXHsj/Xv/6vqK6S+c+aIrXqEl9ccrzeHXb88f7SDz1HUXCOIf6eAt2+3l9h+6R49VvB5jMlvB4haXUqI7nGEABYNANS6mRac43DTunLpTG9vMkhZRw5njpPV7p3L+5UGesfLtb65LAMnESPoVbXPv56nUp0A31Va/DiQHQmes5MhtQvZ94XY2AYrzmzfXUANWOpmjhGNuBLEpmzqunPgfGJqDq6/FlLuty4ZS8EbIHGgth77rOcsjSYhMDeMilOo8XwzNZjOCqfY6cbvGFgHEmiw7oA1CXlxo5My/NHeP7Bepv/xeklI8D+FYA3yeEeB8y2fCNAN4N4FUAP5p/r+7OkJavL0AIcV4IcVEIcfHGjRvEU/RDRrvWvEEejNesRoOyCq+aVFkYSRkSz1IBc8H8XLQZc4FYlBr5OV69dmvRXO8TJxFVmEuGxAVknY0qQHVCGExdRUHJe3bftA27MpXG71os1QMp0UmNni343JmbOnlnlvDiWeqZO2yPmKZwAzz8TdquRro3Z9FcT18TdNI9R7YHMgZ4kfFidnbWGCfO51Dv7CxYaK7Bv+Jzy47nFa+65PplZ6eOo6zZxSbXqQiWpaT/QMyFSgO8ph+d1MiNd1Hsa3WyC8CL+tE9n7iFW/UcAB/P5SGUGqWUV/M/rwP4GID3SCmvSSkTKWUK4CkA78m//QqAhyqHPwjgav71BzVf1/28C1LKJ6SUT5w6dYrz+7AhhEA/9xctIzUuGP+W0MDVDU9eqDWMF2eXvGCu9/BjAFWp0YPx0pjruQGqQN3jRS+cAGClE2A0jSGlxGiWFGn2FNS7fxTo0obehzAhyBpAJftJJzWyTdV+Xj29uZ4/M7O+s2V5xGoSEdcvqAv/VOfBksliHeNF9dUo2bwa6uzPeHHvR103HEfiUq+xTAFcz4TjbqZ0WWJAnqtHKrzsUqOzy9jAGqrXpkBnIeEUHKbuVK4xHiivRa+uxtxvKKXEp17eKL5GP4dF/yyL8TqAI4OcZy6EWBFCrKm/A/hmAH+We7YU/gqAP8v//qsAPiCE6AohHkVmov+klPJVADtCiPfm3YzfDeBX9vB38Ua/nT30uX4QhfpCS6WzFeqp51yPlDa5nkNJ1w3NnovktCKNANwcL43U6Bmg6isZr+Qer2mcIkklK8er/rBUoBYe9c9AQRVeLnO9bti5L9vj69Urk+uz45I81oPdlVjzBnHYnuoEBHU8QL+W6uN6FDjmet0On+PxqhfxMaNRRqHq8fJlLutFA/tzWEpqVBE1tc0cM4tsYUg2sfCwGbLHs5Q8wks3io2zEapnmcWMUXJFzE9tI7KMhcLLf1u5H3ykyvq1wG2C08W77DcoT5YzAD6W06ohgH8rpfxNIcS/FkK8G5lc+CKAJwFASvlZIcQvAPgcgBjA90kp1dPoewH8NIA+gN/I/9t39GqFF9dP0QkDbI1mxf9zjaid2kiFcqGkL/SpnPd18cz1YoGxA+jeICHEHOvGNfMCZfELVHeGnMKrZLxU8cPNY1vpBBjNkqK7cuBgmarQ0eFxkpKjDEyBi0pqpC70deaS1TpeYxm4Xr36w86HuaxvYnw8YnWpknMOuo4+9Tr0MSuBnoEm3g912TpKJHptf8aLb67XS42c+ylszT/sZkXhxC3i5x/43E2EVmokvEYYLGYjKkwIzS71UTtAaQNgKRmadZn6OQghFjyPnNmrwN6Y6+efDfzCrVRU5q9nzgSAQzcySEr5PICv1Hz9uyzHfBjAhzVfvwjgXcxzfN3R7wRLeby6NfMgdR5YeXygN7cz/RCzOC0WBM4uuR20im4+oKSzOTFrVbmUa84HssIrTrMGh8Icz2K8ysJrPMuO5zBWQMZ4DacxhrnBfoXFeOl8CPQFwtR5U3ZQ2V9DN1+PnYFV84RwvUGFmTeuPyyZElWNseLHUfizfuWQbJ3USGesFgsvutetfi35djWq4wtzPdtfVQusXMqr58m+ViI1sq/7y2zq9UhxEsGisV3BV2pkKwlhadAXQsCHyV+ICmJeSwX7GpWFV0vwbCRZXFKCc+fOZRlo//U/Zf0OurF+AMM+YFAT9hO8u/kuxbIer147KCQhgO+H6IRZF5R64HFzvHRdHyyPV1APUKXvzqvnUOxImOcP1ANQ+Z9DkeMVp2WxwjDHA3nhNYuLMR0DhsdLZ67n0OpZ543Z4+WSGnWygo+/Sh1X/ZPK3tbnfnJHFqnvXS5OYr6A9ZlXqX6ugpJ4fB6YCpxO54VQZ0+P16TOeHGbJCrSDndNCGvmeiW1kiM1FkKZ/dhXXZYWbSM033BUBWVova7wS5iSbzvIxpBVh6VXX5v6GnXP4zIdhdzCDSgZr6effhpf/txnivOios66+XRbH8rk+rsdCx4vZjdcL2wVkhCwRBRB3dRM9ljNa+BAnlzPmdUYz9+cbLm1RidTwyIVejlTN46SooDjebwqjBeRJapjpRNiEqXYmWQjQZaVGjl+CNNsOFXIuQZt1+VegM9SlCxDLjUyJWf1GmXhxi+gdUOyed6iltZbRL0fhciKg2XkSl0RniSSLPWVfsH8fWTOagTy2acVj1jAuB/rUiNX2gH0BTT3Oqr+bHVN8hkvndTovq8z5tVsru851gZTtArAT42vNxjw5nbWJ0Fw4yTmr2Vu4QaUVpgqloq08GCxD5rU2BReUB11pSnbz8haMl7cQdt1aSFhMkam4Ery7rDe1ZjyCkdgUWrkFm5qBzmZpUURyCkaglbmZ5jGaWHS58RBACi6GG/sTAHwpMr6wxKommkJOV4GH0IRukh6WNTDR7n+qPoD19OjtZADxpGoNNIIS2oU+uBOlj9J/xrUe6K+QwfK4ocCLePFntVYsvCcTRhQ8UctMC1MqbHGPC7DvpZjzHhSpa/UqO6lKmupMIkSDIiMV33uaPXf3OewKDkDtPWk+hrLMMhCiDyHq/TfcoomQF+wLxMnwd1Mmfyz+4mm8EIZ3lnuqvi7y6rUyG7Z1ZhpAUYXksbfw2lfXwxQ5Qc2Vju5fMYuqcJrHCWYehgwgUyOm2O8PKRGoCy8OB6v6ugpBZbUGLTy4d6L3iKA1kZfZ8344aP1hx2/O3X+OvAw0takkZj5wA5b8/IM19QN6Az6vMJD22jBuB+DXLIt4yT4jFfVd+pbgNcf+DzJtx5RI1nF77KNGkExtmheMuZ0NVavoyookyS0zS5LWkj2TGrkXksVJt3reM37vZy5nr4mAoc7uf6uRr8TYBTF/lJjO8AkKndH3ItTsSX15HffnRGQL9aMsMFlDJjqNQqJKuUfr2TBSZRUWB7ua2RePcpIDx2UtKgKL87xpnTl6r/ZoBiNhRgDBgur3916SI11yZvBAFfDeH2kxqpHjDvgGtDIZB4+s1AjzwB01kw3MJ0TJwHMM8gRo2hT6OXNKnGSImGwbUDGclQ/h+IaZH6O9YHt3DFqABauJc5r1DsTOeGfddavivHMHa4caqRG9uzTheLT436qX8seUmE2WWU5qbGOZRgv7roU5qOXdOzlfqEpvKAGNKcshqJ+PDA/W82P8fILEDVNb6cyFWEtLJCbUq3OoZr/xFkggdI8nnm8/BgvNWtRxUG4DOm64wHgxm7OePmY6ytevynjeqq3zytwQlDbQW1Yu0cUQ/Vn+szcnPd4ebBNoeZ41s+fL2B9/Em9MJj7HLkPPD3jxWOt5u8nj+T6CovuU7i1g3LQdynt+Hc1cjdz9Uy42ONzXNhQMrqlTTlgAK2rUZeFxh7Fpt6DBeaRV8AuW3h1KuuKV+GmWYd9QlzL4s8vIuYgdTby+u3vUvTzrsQiRsAydV6H6kNXtXGzKnqNgRGgX5y6HTZnUHeVpQD4TAmgduhlFxWf8cpuztEs9mIpgDIOYhIl6IYttJjFn/J0FR6vNv06CPOOrXGtuxUgxkm09ItDMUWALDX6P+zqLIPPzM3qOfgMK++FAaIkY2qKApwpcQHVSAz+tdTvzHs2uQystsuYmYOl0r6BbF3g+mqqzSY+hVsYiKWkxnbQwm5cRtRwf/+SfZ3fjPIk48UMK4DIQGsKJ4Usx8v+GjapkdsgsKdSo++mumJs97HiAMBf/2//Nl7ZGOMKePe0bmh8dl5U6V6xlyk6B4RrOhhnsc/od7I5gSrLapVZeBWLXKXwYC2y9XlYzIVe18HD2WHrgvp8dthVqZTrEVvvtwEA2+MsOb4leIsskDFUw2lCCjjUYbXm8eK8hhACgzyAVYHzOZYLfZ3xoi+2nSUL6CLHK1WLrB/jVXTTMU2wQMkyjiqSs1+DQK34Y/wO3bBVsKbV1+Amv9dDkX0YLyklxlHC6rAF5hkvL89mUE4Q4HZZA4vNIvyuRuUz849SMEmNtABVfRxFlGSzYN05XhqpschT87OQ+De7VIvPhF3Ed8Ng7hx8vLcA8A/+1x/DX/uBHwbAY7z6lU2EOgeAz0DXx3jtJ5rCC9kHm6QSm6MsRoDLePVqFwa7q7HGeE25jJdGpooYnVBab5AHHb2M1HgkL7y2xhF2JhHWem1WHAVQkRoJUoAO6qF/fWeKTtBiLzCD3GOmwPkcQwMdXhQ/FI9XWO9q9DPXzwp5JyX/bIXqeBCfB4ViHUfTpMIQ8B62ABaKBk7xV50bCvA3Qt382lNsjTofzj3RDbPQyWmcQko44wvqqMercO+H6oDmyEtqXK7Roz5w3cff1AlaSzNe9cJLXRcuj5dOauT61BbN9X73Q92v6OPRUufAHYcHVK/FLDmgxZimAWS/b1VN4MZJFFaeyv2432gKL5QXRikxcRe57G1UBnvuxV1nvPjDjXU5Xow4iSDLWSkDXFN2+/qcGdiDjl7vKcYrwvYkxlqPr4IPOlkA6jhKPQuv7Gde35l6MWbq5ytMGN2VpoWe08HT1jCXS0mNzO5aYH5UjQ/bpIrf4SxmD7gGKpKtKho8WLO6x4vrOaxbBwAPc33eSVaE+TKv50Eh3ScYzfiMmc6rx22SmDfX87oaFyIECtmb5zPTebyocRLA4kaIGlWzFwGqiw0Gvh6vJbsaq3ESHh4vJct++lNP44UvPMM+HlAh534FqCI26tMk9hONxwulpHRjd4rVbsj2BikqtZq6ztkdLgTEeTJecw9dRnJ9UfjlxVoUL+cD4KTmV4/vt4M5xosL5fGidB2ZjgeyBfLseo99fJ3xUkOKe47wU0Cf/QRUWCeiXFkPUO0x3seFWBNmdy2QsT3b44w59il6qoxX2s7uJc5nWTzw0vJaBHg+s34nKDZhwBIer5rnkjsmZRqnGOWFvM/4KyArvMYR/37oBGWAqJfUWDHnq9fgbOYWQmS9wnjnNyJTxudo2ggVgcaO60k/71L51LhKxjLJ9QI7k+w4ny5hdR7VZ5OPVAkAT/7VbwIAvOsf/SbreGA+K5N7P9aJjYOAhvFCuTu8uTNldbIpzI+74RVN1e8tzPVJwhqvoW9fT8kSUf34yMOjtZhcz7+0jvTb2J74M16r3QC7ubnei7GqPJzecGLAP77m8VKMl66rpw7dZwiUsh9Fnujqcrw8xzYBfsn19fwogLfQr3RKxssnj61uivZh3XS5fAD9ntbN7cxGBvEk22mcliOjPKNR1EaEy3hlUqN62Hp4/VrLyd6lilD39XDZVz/m0sVAu16jPnC++ne+ub4++snP58bd0CvUzfVsj1ft/uUWbtlrtAq2sYhbIprrdQz0fqMpvAD026WpmuvvAiqLROwXSVGyHRU618OboxaFNN/ZLDcbzt8H4DNbDgDW+2HOeMVY9yi8Vrr5yJ9p7CU1tlqiMNg/fNyn8AoLhgKozFkknIuOJQFKgzzF71bvYOIyl9UQW6DcoXMksqosUebR0Y8fFExNGQvCKaIXc7zoHjmFXtvg8VqGgebmWIXLSY1qHVMFLHcjUpUa1efI6i7VjH5idbfWGpa4bJF6jfpEEWA5qZFa/NikRv6G2n+CQDVOwrfwqm6muP5lYPH+5R4PlGP9gGrTjz8Dvd9oCi+gYFde256wOxqBPWS8KhPgfTxi5Ww23s5qMTmfHydR7WZbivEax95So/rsbu1OvaRGAHjkZFZwPbyHjBfload7WAM5c8nw+s1JjSmvSaIdZCxrwTLk8hinyaFb8Uf5bEIKxmuaVKRaDuNVz/HKCh6OfUAFIiuwu6i0DLRkhypPq4WXJ+M1mib5UGfeutbeE6nRn31V75X6HHw6bHvtGuPFyvFSzKnBc+l4L3RSI1e6V3EJyzSr1NkqgGeDAeaLnijxMNfX3m8vj1el4YUtNaqA8qQpvA4UlLF7NEtYY2IUqrQ4JzRToe7v4dK5BVNRo2KpC2V9qC9nzmP1NapJ21ypEsg+h2UZLwC4uetnjgeA9735FADg2EqHfWx/ofDKCweOtLHAeNFZq2WT64UQuYm1XOC4u9Nue1Fq5FzLOsaL4pFT0OV4+cwNrUqNvl3G9bmdnJmTijkce0qNah1TjBffXL+c1Bi2xKLHi3EttVr5jMAK+xoyBn0D+QgxHeNFmHuqrqP6w5oqXWsjfpjSfX1NKNhbpl9RrUnewdS9ELuTjMn3M9fvgdRYmT3KDVauExsHAY25HpjzE/lIjYURNCpDH1nT12tUKLdlV13YBRXL3hHUPF7M3TmQsQTTOEWajynhHg9kjNcXXttZylwPZAUPV5pR+D//l2/Gg8cGeP87z/J/vkZqDFuCVMSWLc+LCz2HuZyTt2LJktiAeZktZoTwKsx3QGV/cl5jVRUM0wTdkO/xqsdy+AQ+9k1So+f9pP7OYv66QeHPAjwYL5WHNkswmsVeUuPicGZeARzXig5uRE0vLL122axL/rU88fR4KbZpQWokFuH1OAygZGHZFhC1ifCR7tsBxrOyaKq+LhWr3TZ2pv6FV32CSN+H3OhkjVeAf47XrImTOFioFl6ry5jr48SLDtZ18HBHKrQEioc+e7Zc7QZXu0sO1Hs4nGXmdu4OHchCVK9ujZFKeJvrFU6vd9nHA9ln8Te/5g1sxg9YlBo53WQmcz2HdaqPB+GyLEAZJlwcz2Y+g+I6HucPPU5HXr9iCudItQrljL2yaOBvIrLZbvUMKbbHK55/6HPO49hKBxvDqOLx4t0PnaCFsCWwM4kx8YhX6Yatgi2iZldVsRDcyZQa1c+bVGRrLnPZDWtNEj45XhoGGnAXocUGoB7xw2Dt6j6xokuYsZkadEOMoiSLOWIwflWsdrMA1Vmc5lMUeMe3WmLu/fLZFPcr5nqux0u3EdpvNIwXMMeuLGWujxL27hgodzClgTFhHZ+lpoclpay8DOQHdi3OwmN3qt63rKswZc9JBIDjKx2oOaY+jJcKYQWAMx5xEMti0AkxjVMkqcy9Uin5YWVaHDg7fV2chA/bU+1q9HnYzeIycV19jYpO2EInaGE4S7Dq0dVYT433iUbpVZoMsvc0O4/lZqfyPovjgw5mSYpb+dzQnmNETR1qksLtIX8KA5A/sG+PAKCQ+7hNDstIjcC8OT5OfWTvGuO1BwGqZI+XypOrvAcJ04KxOByaLzUOOgGkLMNLs3PnB1MDwPYkwixJWdK/Qq/dwgd/9OfxuVe32ewtkK9LtVnG3HiXpqvxgKETlinlq57BnUBG6/uY64XI/QxLhdRVvDmeO/RqNxp3d6puzt2J6qLiX1onVktflQ/j9fCJleLv+1N4lfMmgeyBRV2kTAs9R2pc6Gr0kIznPF6px3DmSqPHJE9MZ8/M7AaZx8uDaVGfQXWR5rJ+9VgN9v1Ua19X+Umce1p5DF/ZHAPg53gB2Wbo5u4sP55ZeFWuA5/PIWxlrKGU5ZBr/udQMlZZAc0/flr16jEe2KZmF6qHVwihYaB5o9gKFnwJqbEaz8L1Kiqs5pvgW/m15NO41GsHOP7w29A58yYv/22v5j0FGM1jTZzEwYXaVTxwtM8+Nmhlu8vdSexlrgfmzek+WSlVmYvbTbbg8fIwVauCdTf3pfjEOZxYKeXB02t8qfBExRDvE4C6LAqvXf45TGKG1GiKk+BIjXWPl4exfM7j5RELUvU7+niLgMwrN5wmhbTAYczU+101FPuwfgAwmdW7wWivox66y8zYOz7IruWreeHlcz8NOkHBmHGPr64nKjGc0iSioBgfxXrNPDqdq1KjzyZgmTgJo/RfbKzd90U1Cw3gz7At5U459ydHalR+qvEsWcLjlV07BfvqlcOVMek+UxTU8VULhGCMHWoCVA8BHjrGjxEAyjmBPp1cQK3w8hjr0G8vFl6+npSIOdAXKBmvnYn/rMRTa2XhdL9HAVz1Tpw54ufxWgbluBv1wKIzXqYdNkei6eS+GikzpsHHkJy1bedeP8agdYVewXglGM98RzcF2J1GmMTZ8ZxONlXoVeVS79ly+UN7ytxhA/P+Ip8QV8V4XdkYoxO2WFlqClXGi1sA9yuNIuMosz5w4ySAspPPd7jy3OfocXyUyCI/ixMnYbsfAfokiarcmjWr0H8HFaJdBqimCJjRKFXGS13PXMZqtZsxXjdU4eXl0QrwWx/9YXzp3/+oF3vb7wS1mJsWeV3oBvMe6oOApvCq4SGP4EwgY3x2prGXxwuYNyX7SI2DToBxVDPXM9ttq+Z6btZLkaE1VJ6U5Rivs0eWY6xOrtz5wktlJakHFsfUbGK8YsaomXbQgpTZMdxBsgr9dlCaWGOfrsZykRtHfozXei/LcxvP+MGfgxrr6OVzy2Xy6mt0GAs9kMmlpUzGZxqOV6RGH4YAyN4L9bDkvsZKJytaoiSTjLm+niKAVI1u8mFP2/VsQL7UCGDOwgEQpUajuZ5XeFULN5+mpeqsRZ/3oN8pGWAlu3L9t0rNuLmU1NjCF/7gY9h4+jf8pMa8iI6TFBGTmDiIAaqNub6GB4/xmRYAWOtmWSdlJxZvoaoG3U09pL7qgGY241UxJCs/ii/jpWbceUmNFY+XT7oxAPz8+ffi4ksbbF/RXmClOy9zTeKEHMhr8iFwYgiU6TZK0mKnzc3MqUYpeBmaK35BX8n5SL+NV7cmWVeoZ+v6vNToN3u1Gs/CfY3sfqwzXnypcWcSe9kfgEyyVWsB92FZfWBPPGY9FtdBlCLt+LGvvXY5MzNK+Cy8OodJlGLQyeIEqGG6bQPjxemoa9elRp9mlXar2ABkHYV+TU+jaZkJxy18Viv5iAAvV0+hW7l+vLoa8+fpJE7Z+YQHsfBqGK8afBPPV3uZ1Og71LYTlOb6KOHfYFVzPTdLrDBEJ2XnC3eBKG/OXNrweB99pgbU8TWPncD3fcObln4dHww6tcIrorde63J/1P9zE9OjWBZdfV3m59CrJETPYn4HU/Vh5zOqBshiRbbGkVcsSasl5mQ+r266mlzpI5MNOgFGefZR4c1hnMdaLyzkxVMefkdgvsuXux4NKt4gn8+xGFk0jb2GrQNlNiCgWMflmiQ4SoIt3qX67zbopEbue7BS6VafMjyjCmodHs3iMtCZeU9XJ4IA/DWleh4Av/CrHj+eJVnXPeN9DFoCYUWyPQhoGK8cv/UD7ytkMh+sddu4sbOL4TT7cLkJ+N328ub6+kgFsrm+EifhE5YIlAttwXh53FwcKecgQkmN40JqpEs0LbU4aJPruaOfkqKN3YfxmlS62bjFsFqUp3GK8SzB0QF/AoAalj7x9ArOjRdJJFtm6y/xwFZYqTLQHp3OrZbAmbUurm5NvBpNgPmCrVqEUTCoeIN8mMtqvIyv/WI+QNXHb+j/Oap7blYPUC0yEimzU8W81JimbK9ev2IhmUZpsUmmomC8cuYS2AOp0SMqqNql7uPxGnQqhbzHZiqbgnBwGK+m8Mrx1rNrANa8j1djFRTjxS08OhU/gI+5fq6rkbnQV6lY7liL6mt0w1ZRePkyh7/23/1Fr4f1QUBhrp8qxov3wKrKzQqcRabKuKVyealxPEtwcpX30J+TGqME93syXjuTGLuew84HlUaTzBfDW+bKB3Z5P7Kl/26AjeGsOAeAPyPvwWODrPDyDAOuFl73MT2TVa8cJwhYYbVSePlKXKoTDvAb51bmK1Y2tJ6dqQqcIrIdtOakxixOgncNrHSCcj2JE3bRU10TfD+HQTuAEMtJjdXrz8ezqAq3nUnMlhqBvHmtmdV492G1m5nrh7OsA4jd1VjR8r1yvNrhnBkY8Jve7jMQV2G1Gy7l8QKAd95/xNvTst8ofDFRWXhxHlj1OAhA5VBRC69yeoCSaHwk6zgtTdU+iecAigHPvh4vIGNPvYy8NbnUN06ieA1PBnroeT8qqMLp9Jpfo0m18OK+j9VswqlH8n1ValTrEvc1shyvtHidFeZUEcW+VrtTWRNBwpZW+qdGGdSlRm6AKjBvIZl4MF7VbEH1XnLXhFZLYLUb4vq2/6a6mqvoc7wK1N6ZRN6MV+Pxuguxlnu8htO4mJPGwZHc1wL4Bqi2MJrFkFKWQXnEi1O1LVeH8vrsSlZ7Ia7vTPLz8Su8DjNWOqXUKKXEziRmBfLWk+eBXGok7pKr5v6y8OKzDOo1fGJBqjleE0+Plyq8Xtkcsx+2wLxc6mMMr06iAHwZ6LD0eHkWXuoBedxjYDsAnGKylVX0Kw/ssUdXo8p+WprxirNxN8Npwp4qUvoN/Ta07WBR+lf+IootIqyNTYo8ssyqkvXUi/GqFtAJuiGvO1fhSL9drO0+hdN9R/ronHkjOmfe6PVsWe+X6fnb45gdsJ0FlB+cwquRGvcIq90QUmZ0LJcSB4Cjgw42R3nh5bXDDpHKbFfHyatRUDliitb20eHPrPfw0q1szIgv43WYoX7nYd5BFKeS5a2pys0KMUtqLFkG9Xd2F1RlVqJPnEO30sLvy3it98ph5z7G8qrs7hPY2NsDxmulwnj5hiqrn6nS37nwNeUD80W8j7leZT8Np8kSjFc27maWpBjOYrbfUH2O08jPwmFivKivUd9I+URq1BkvbgEc5M0mw1ns3ewCZBEvV2QW5usjNZ490sN9f/vHAfht6tdzxmt7EuP2cIb7j/JY4G4YNIzX3QjFbFzbnnpdWMcGbWyOo3w4r0/3S/nA9NlhK5lLedR8mIZHKyN7fD1ehxmtlkCvnQ2ZVuzlOmPmZFdDh3PmZqrPbDxLig5ZdsFQkYg4syYV1O+7OYq8F/pqsXpqlS+zVVOuvYrHsAUhULBmPtLGoFuV/lWoMu+h+ze++iEAwF988ynWcQrLFF6DdsmUZEHAXKmxUsB7jBwCKgb/aZJLjczCq8iUKwtozkZEz0DT/UUdjdTINddnkrU/46VeY6xiQTyOB+bvSZ/XqOYy+qwJVY/XxmiGY0wfcJYacHAKr4bx2iOoC+GlWyM84JEFdmzQQZLKciwDc1exnt8YW+PIazSEMpKqXboP4/XwyTJ89l6UGgE17ibG9jhbLFmMl8lcT1ys1cNyOEuKQoErNdYH4nJZihMrHYQtgZdvjyCl33VQba7wMZb320HhRxlHfMZLCJGlpi8xSWLQDjBLMvaZ22Ws8FVvOIYXf+TbWcdUoa69J//SY+xjy/FXMaaxR1djpzTXTzylxvViRuAUUSLZjFe1cAP4UmMnbBXzHRU4RXgYCESTitSYplht82M9Rkt4vNRrDKeJ94BroFZ4eWyqT691sdYLcaTfxlvP8JvYinVpHOH2cMaW37Mw3iZO4q7Dm0+vAsikxrecWWUfrx42lzcyOpe7yBwdLFl45Rq48qUsy3jdi1IjUEoDivFiF15LLPSDQh4quwF9289v7KhRM3wj7um1Ll68OcyO97gO3lCZHuHjU1LRKrM4C5L1HVFS5uJJDJjvw6Bb5mCV8/3urMAghMCLP/LtXlKlYhg2R5EX49VS82uncTHrkXstVL1+QMnqU7FWmR8LZF4vzrXQqXUlAtk0B3KgcY0xS1J+V6OSzTPv7hKMV5SNs/NVIpTHCuDbF4Dsvfiz//n9AIDwB/nXYxi0sNIJcH1ngmmcFiO1qKjaDw4CGqlxj/DIyZViV+yz0B/LC6crG5lHiusTO1JhvIrORMZNXni8Zn45ZADw5krBea8WXuoGL6TGPv19bAeLnhLOLn2l8HglRVggP+k6+9xUpp3P53h6vYfPv7oNAGxJAJhnRnzkMpXjpQonr87I6qxFj87I6ow83/FNewUfM3WvHeDESgdXt8bes1dXuuGc1Mh9DcXiv7o1KV6Pg9VCnsruxcygv3yXMSeEtSo1RolEwDXXd0Mk+Qgwf8Yri6TwaTRRUM+XTtjal6kgQNbZqDzE6nlJhVIiDgqawmuP0A5aeGPOevmwRYrxuqIYL2bXxpF+dvzWOMI0XxxYs+Xy7pkyeZ//O7zp9Bp++Dvfhe9678PelPZhh3oft30YL80OOU7pw4F77cybNJrFhaGYy7IUEwh2/OeynVnPgj8B4OETfrNPFXykxl47Y6tGkf+1PB9JkbD9WYNKcGXh8dqnwssXDx7r47kbQ6SekvFaN5zrauwxWUN171zd9FMBumGATtjCziS7DnancWH6p6Bj2AhRPV71rsbYI3+qSJ7PCyeudQBQcmXsNXNTQcm+XMZuL7HeDyuFF29Dt9otu0MPAg7XSnDA8RUPHAHgt8CWjJffIjPHeMWSfQ7HVjrYGM7K5H3P8T3f9d6H8cPf+a5Dn0Lvi8GSUmPVAFp2p9IWWyFEvrPzj5NQn3sZlrhcZs8jFfmZgw9+3aMAwA5wBbIH/nAWFztcr8IrDIrcoyy5nXc/KMZrNCuT2/eL8fLFg8cG+ELOXHLb94GS8Zp4+kYVW3x104/xArIO2e25wot+LZjN9XSpcW5WY8qfN1l0l0bZPe3LeGXJ9XzPpsKR/Pm0n52Ba712ITtzPV7ZtdhIjXclvuFtWffR51/bZh9bmvMzbwx3kSkKr1GEWZKwmY4TKx3cGs4wnMZoCT8dv0Fpht3O5Y01RlfjoOIrAvjDztVrVB/23M+xPhDXZ6GuFl5cL4bCh7717fjCD7/fq1hZ77chJQqDve/YISU1ch/YQPm5b4+rXcaHazPywLF+UbT4zFFd74fYHEcl48W8FuuMl0/htdZrY2cS5VlgvM7ITGqc9yNxokXaQasY3QX4NWn0KxExszj183h1Q+9h58V55MdxlZi9RLXY4hZeg25QeP0OAkhXgRDiRSHEM0KITwshLuZfOy6E+B0hxJfzP49Vvv9DQohnhRBfFEJ8S+Xr5/LXeVYI8RPiLqNFvi5v+/7qR46zjz06aOPkagcXX9wAAPZC3wlbGHSCwlzPvcGPr3RwezjDcBZjpRPes4zVsljNb/CtcYS1bshqH1/phnMG0KmHT0slpvvGSXTDFoKWKAsvD7boL3/l/exj6siiOZbzoyhvkI/nUsWCSCmzcTXMh/6J1ezBcGs4rcz3O1ybmQcr3dk+hdeZtR6ub08xjrJpHly2p98O0A4EXt3yUwGAjKnbmWSTHOJUsj7H5RmveamRm5wPlMypGj/lxXi1g0oQrt899ZUPHcVjp1bws//H93gdvxd41/1Hir8/zGTSVzvh3GSW/QbnSv4GKeXNyv//EICPSyl/RAjxQ/n//6AQ4h0APgDgnQDuB/C7Qoi3SCkTAB8BcB7AfwLw6wDeD+A39uD3OBBY6Ya49A//y8IUyoEQAu9+6Ch+9/PXi9fi4ki/zAKjDHGt4vhKB6NZgtvDmVfyfoMMx1e6uLU7xeYowtEVrgF0flfm49MadMI8AiBFS/A9GZlcGZQDcT0W6oeOD/Cjf+0r9213rAqv17b9pyj02wE2R5HXAxsATq5kEumNnWk5O/WQSY3V4dwc5lbhzJEerm1PMJrGXt4iIQTWe+2K1OiX/7QziYr7iiOZZg1H8/JUlEgyg1qXGmdx4tHssvyA6kE3wGiaoNv2z1d8y5k1/N7/9eu9jt0rvPsNRwFkaxo3D62aT3gQZgEvszJ+B4Cvz//+MwD+AMAP5l//OSnlFMALQohnAbxHCPEigHUp5ScAQAjxswC+E3dR4QUAJ5YY07EXhdfWOMpmRXowXgBw+fbIq6OxQYYTqx0MZwlevDVkz9jLJIGy8FIPbM5ivdINCo9XNwy8mMvVboibS87c/KvnHvQ6bi9QMl4ZU+LzO3TzEFblE+OyLev9EJ2ghZu7s+LnHzaPV9XA7OPxOrveQ5xKvLI59s71O9Jv41bO9qwxjPEKa902rm9Pi8+Rs7ZlyfU1qTFOi8kKLixIjR4TEJSp/UY+rsfb45VP0vDxO+4VPvrRjy51/LsfPAoA+M6veoB9bHVo+2EqvCSA3xZCSAAflVJeAHBGSvkqAEgpXxVCnM6/9wFkjJbClfxrUf73+tcb5Hj7fevF332Kn5OrXVzfnuDUWo+9yBeF18YYZzw6yRpkULlTn7u6jW98+2nHd89jpRMgSmQRITH1GGq72g1xfWeKmacRF8iKftWVeBiDcJUR+LVCavRjvKZRdYQWP4T1xGoHt3anOLPeK+ahHiZUfTReUmPu9Xvh5tC7gFfqQSdosaJZFJTUuFvkE3KkxsVZjdOY3lmopEYpJYQQXhYQdS1fzzdCfjleWSTFOE3YMQx7ifPnzy91/JFBG7//P3w9e1wQUGW8DobBnnoV/AUp5eMAvhXA9wkh3mf5Xt3qIi1fX3wBIc4LIS4KIS7euHGDeIqHH4+dKnOwfBbpt5xZwxev7eSLA99cD2TSiI8npkGGk2vZ+ziNUz7jVQy0zR4SM4/gzaODThYpEife0lb14bSfO2RfKJZASY2+hdc4SooHtk/hcWK1g5u7mdS4n234vqg2RvjIxmpMzIu3Rt4Sl5I7T6x2vNjbtV4bu9MYuxO+1Kib1cjpLGwHLUiZx8IkKVLJ91wq9vZa3ijiy3gVr3cA2J5l8OjJFa9IjZXK0PaDANKnKKW8mv95HcDHALwHwDUhxH0AkP95Pf/2KwAeqhz+IICr+dcf1Hxd9/MuSCmfkFI+ceqU35yyw4iHPEYNVfH2+9YwiVL86eVNts+s2rZ/cvVw35z7iRMr5ftY7e6jQD3cVYht0dUY0BeaI/02tkYRpp5hi0DJdAjB7x46CCg8Xkuwdqu5N2g44zMlCidXu7i5O8P2OPLyfe43jlbO2afwPJtf/0kqi8ka7NfIi7cTnmvSWi/LElPdmcua62cxfd6jUh3iPAAV8Jid2gkQtASu51KjD+NVVU/2k/G6cOECLly4sC8/e7Xi8ToIcF4FQogVIcSa+juAbwbwZwB+FcD35N/2PQB+Jf/7rwL4gBCiK4R4FMCbAXwylyV3hBDvzbsZv7tyTAOA3fVTh5IqtydxwWBRUe1geovHLK0GGU5WDMmnmanrxcifaTkUF+Dtco8NOtiZxhjOYq+dIVAWjMcHnUPnSwKyHX7YEoUh2UfmOj7oIEpkUbz5Fl43dqa4uTtj348HAdX1yDdIdy1/397z6Amvc1CFl6/vVG0c1EQQTre4LrleeScpUPEhamYnwG+wyBoMQly+nZ+/B/NY3Xgc7e/fdfjkk0/iySef3JefvXLYCi8AZwD8ByHEnwL4JIBfk1L+JoAfAfBNQogvA/im/P8hpfwsgF8A8DkAvwng+/KORgD4XgA/BeBZAM/hLjPW7wUePbnCnkmm8KbTpVR5fIX30A+DVrFQvO1sU3j5ovqA5TJe1cHCALwWa8UsXNueemexKY+fL0ux3xBCFKzX2fWe14bmWOF5VA9s/gPvTadX8dr2BF+6tuMVBHvYIYTAW/K15L2P8SN2AOC+vPCqjt7hQI2ceiGfHcpJru8GWeFVnXU5jegZiWrTEsWpVyafwpF+Gy/mie0PHedPgqgWa4f1nl4WxTi1AzKv0bmaSCmfB/CVmq/fAvCNhmM+DODDmq9fBPAu/mneO/itH7DZ5+zotQOs5DlOPtT80UEHN3ameOvZdfc3N9Ci1w7wbX/uLDaGEd71AO99HBRp59niMPVYrNXC+vLtkXcBrSSiw5zldvZID7eGs7n5oRwcz6NALt9W4Z38zdATD2fRhi/fHuGr8lb4ew0/9tffjZ/5xIte2YZAlgUGZON2fKAKr+du7ALgebyURytOZbEpnfpKjUsUXkqmbgeiuDc5qE6PuFcLr7Xa3M79RuOiPmDwuTGr6LazwsvHm/MvvucJ/Nx/voyHPXZVDUr85N8653VcnQ73SZ9XTM/t4cw7Nf5MzjKk0o9lOAh44uFj+OzVbe9ZkYoxvrIE4/WuB45k8zeTdM77d5hwcrVTSLY+eMOJAf6n/+od3serosO34Ud1GX/m8hbWeiE7uR4oQ1PV7FSq1BgqqTFOvaJhFNQ9/cDRvlfT1Rsq6/lBiFLYD6xXRuodBDSF110GdWP7FF5f8eBRfEWeldLgzkM9FEZ1cz2zq1HB10irvGmHuO4qBtaHLc8Gg0GZawf4pt8HeNcD63j65c2i2/Ww4Y/+x2/wlvn2Au+4bx3/3X/xJvyN97zB63jludyZxmwGWDFWszjFoFPZCBE9lx0d4+UzAivv0vWRGYH5DnlfG8thR9ASWOuF2Bw1hVeD1wHKBHsYzbz3OtSiqDrpCnM9wyRf7UQ75rm7ve9I1mjxX3/FfV7HHwT81ccfxJ9e3sLf+0tv9Dr+WC41vnhrhJVO4M1En3v4WFZ4HVLGa7+jZVotgf/LN7/V+/iVTlBEg9x/lNc1rj5zxVYVY7gYQ7KBjDFbRmpUcmnVw/v/b+/+g+Mo7zuOv7+S7k4/bNnI8o/YxjYmYGrAdSyFhvxo7BASk5DgthTcNNNMYVBLSZtp2kmHyfTXdJhp0kmTYdJS5E4mZTppknamU8pAEpqmTWaKSyQ3BhtKCgmNjfnhYvxLkiXd6ekfu6tbnVfS7d3pbu/285q58Wlvd+/Zr9a7Xz3Ps88T17Kc93RnM3cfqNbK7oxqvGRpBFWqzTjwZdp1lzQ1VtPHy3tfWeLV15Pl0O/fOCeJazY9uQ4+d9tFXVPLtizXMdtMeHVojri4Bjb3ceB7P654OASpjpmxenmOn5wan+2oX65sqMYLiv8fy63ximpqrCTx+vh73sy7t63m+q2VPRkK8J3f3c3rY5MVb98KVnZlOT1eebN5LTXfs+KyoPv37+Rj12/mKnWQbzo9/jAIQXV4Jf1CVoSSpb6Yc0WG9fVkaWvCQT9rxcxma712bKw88brhp9bwhx/azjuv6K9V0SSmrau9zuVx++kV+3h5Ta3FPpfl/VFbq6bG/mU59mxbU/EgtODVmjX6nuCcm/OEaL0FU+olgRKvFrN5VQ9/fMs1TTc9iQQ3+yyn/LnpZifJjnGxNrPZG0ZaO9LWys/v8sZ73lbF8CqZ9jZ+9R2XVTymmlTvD27ezprlOfZcFW8Kr9mmxvzcpsa4TzVW29QotbGiO8PphCReamoUSZBVPdnZSYGnCjNk2i12zdPa3hzHTk00dVNhEvzOjVdy9fpe3rd9XaOLIlXYunoZT376vbG3CydOABem4yVPmVBTYyXdBqS2VvqzeiSBzgKRBOkrqfGqpGkiSBRU41WdjvY2bt6xXjfLlAp+75OlfbzKPB+CpsEL04WqhpNoFQMDAwwMVDbUTi0ETY2NbO4MqMZLJEH6erIcPXEWgKlCgVwF/Truvekq9u3cwGX9PYuvLCKRwjVWEP8p4/CAyJXMu9pqDh061NDvX9mdIT/jGJsqVDQuXy2lN/0WSaBVPVleP+89fTSVr6zGq6O9jWur6BAuIsXaqaCpMe44XkGN10Q48UpxjVejberr4botfUxON37aINV4iSRIX0+OsxfyTBdmGJ8qaFgQkQYJaqdKh5Mo94+hYo1XcWJmJV6Ns/eadey9Jhn9NZV4iSRIMATEG2NTnJmYnjM8hIjUT6bDa2qcLsxNvDrLrPEKBp+dmJ4hyNWUeAmoqVEkUfr9ueVeOzfJ6fHp1E5qK9JoswOoBonXdLw+Xp2ZNsxgYipf1The0np0FogkSDBB9WvnLnB6YqriaX9EpDqZkpHr4z6ZaGZ0ZdrndK4POuxLuqmpUSRB1vV6idcrZyY5PaamRpFGyZXO1RhzHC/w+nmNTxdobzNyHW2pnivxrrvuanQREkOJl0iCrF6ewwxeOj3Oucm8arxEGqS0xmsy5pRB4M2ZOzFVoN1strN9Wg0PDze6CImhxEskQTLtbfQvy/HcK+cB1MdLpEGyJcNJBON4xanx8poa87SZzXa2F9GZIJIw63o7ee5VbxBVJV4ijXHxXI3eFF5x5sHtynb4TzXmUz80zOjoKEBDR69PCiVeIgmzYWUXT790BtC0PyKN0uEnWFMFb4qZSgY07s60MzGVp81IfVPj4OAgQCKm7Gk0PdUokjC/feOVbFjZBUCfEi+RhjAzsh1tc6YMijuFV3fWe6pxfKpAVwXTf0lrUo2XSMJsW7ecR37znXzrmVfYvr630cURSa1se1uxj9f0TOxJroPO9W1m9C/TH1HiUeIlkkCX9GS5/a2bGl0MkVSbW+MVP/EKarzMoDvbvRRFlCakxEtERCRCtr2YeE3lZ2INJQHetEFjk14fr7R3rpciJV4iIiIRMh1WHEA1X4g91+L6lZ2cm8wzNpVPfed6KVLnehERkQg92Q7OT+aBypoaL+tfBsCMU42XFKnGS0REJMKKrgxnJqYBL/HqzMRNvHpm33dn0n27HRkZaXQREiPdZ4KIiMg8VnRl+MmpccDr4xV37tRNfcUO9WlvatTAqUVqahQREYnQ25Xh7GyNVyH2AKrZjjaW57z6DTU1SkCJl4iISITSpsZczKZGgKs3eGPxdaZ8ANWhoSGGhoYaXYxEUOIlIiISYUVXhrGpAtOFmYoGUAV4y6ZLADh5brLWxWsqBw4c4MCBA40uRiKoj5eIiEiE3k7vFnl2YtqbMijmOF4Ad+++nFfPXuDWgY21Lp40KSVeIiIiEVZ0e53pz17Ie5NkV1Dj1duZ4c9v21njkkkzU1OjiIhIhN5OL/E6MzFd0TheIlF0FomIiEQIho94Y2yK/IyrqKlRpJQSLxERkQgru7MAvHL2AkBFTzWKlFIfLxERkQhrenMAHPMHUY07jpcU7dq1q9FFSIyyzyIzazez/zKzR/yf/8jMXjKzH/ivD4TWvdfMnjez58zs/aHlA2b2tP/Z/WZmtT0cERGR2lie66Ar086xNyYA1XhVY3R0lNHR0UYXIxHinEWfAJ4tWfZ559xO//UogJltB/YDVwN7gb80s6Bh/AFgCLjCf+2tpvAiIiJLxcxY25ubnTZINV5SC2WdRWa2Efgg8NdlrH4L8FXn3KRz7sfA88B1ZvYmoNc594RzzgEPAfsqK7aIiMjSW9PbyeFjpwFY29vZ2MJISyg3ff8C8ClgpmT5x83sKTP7kpld4i/bABwLrXPcX7bBf1+6XEREJJHWLM/Nvr9y7fIGlqS5mRnqXeRZNPEys5uB15xzpY2zDwCXAzuBl4HPBZtE7MYtsDzqO4fMbMTMRk6ePLlYEUVERJZEUMvVlWlnbW9ukbVFFldOjdc7gA+b2YvAV4H3mNnfOudedc4VnHMzwAHgOn/948Cloe03Aif85Rsjll/EOTfsnBt0zg2uXr061gGJiIjUyruu6AdgYrqgGhupiUUTL+fcvc65jc65LXid5v/VOfdRv89W4OeAI/77h4H9ZpYzs8vwOtE/6Zx7GThnZm/zn2b8FeCfankwIiIitbR72xp+b+9V/MVHNByC1EY143h91sx24jUXvgj8GoBz7qiZfR14BsgD9zjnCv42dwNfBrqAx/yXiIhIYt29+/JGF0FaiHkPGCbX4OCgGxkZaXQxREREpEJBM23Sc45aMLNR59zgfJ9rUBIRERGROtGUQSIiIrKkHnzwwUYXITGUeImIiMiSGhoaanQREkNNjSIiIiJ1osRLREREltTw8DDDw8ONLkYi6KlGERERWVJ6qrFINV4iIiIidaLES0RERKROlHiJiIiI1IkSLxEREZE6UeIlIiIiUidKvERERETqJPHDSZjZSeB/l/hr+oH/W+LvSDrFQDEIKA6KASgGoBhAa8Sg3sew2Tm3er4PE5941YOZjSw05kYaKAaKQUBxUAxAMQDFAFojBkk7BjU1ioiIiNSJEi8RERGROlHi5dEEUooBKAYBxUExAMUAFANojRgk6hjUx0tERESkTlTjJSIiIlIvzrnEvYAvAa8BR0LLfhp4Anga+Geg11/+y8APQq8ZYKf/2YC//vPA/fg1fBHfF7ke8LPAISAP3LpAeXPA1/zt/xPYEvrsG8Bp4JEUx6AQKtvDKY3BZ4Aj/uv2Fj8XItcDNgOjfrmOAr+ewhjsKSnbBWBfi8bgk8AzwFPAt/EesU/bdXGhGKTlunhRDELHcJLidfFTDTiGeX8/JdvX9B5f9glfz5f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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "700 points in train split, 48 points in test split.\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "from merlion.utils.time_series import TimeSeries\n", "from ts_datasets.forecast import M4\n", "\n", "# Load the time series\n", "# time_series is a time-indexed pandas.DataFrame\n", "# trainval is a time-indexed pandas.Series indicating whether each timestamp is for training or testing\n", "time_series, metadata = M4(subset=\"Hourly\")[5]\n", "trainval = metadata[\"trainval\"]\n", "\n", "# Is there any missing data?\n", "timedeltas = np.diff(time_series.index)\n", "print(f\"Has missing data: {any(timedeltas != timedeltas[0])}\")\n", "\n", "# Visualize the time series and draw a dotted line to indicate the train/test split\n", "fig = plt.figure(figsize=(10, 6))\n", "ax = fig.add_subplot(111)\n", "ax.plot(time_series)\n", "ax.axvline(time_series[trainval].index[-1], ls=\"--\", lw=\"2\", c=\"k\")\n", "plt.show()\n", "\n", "# Split the time series into train/test splits, and convert it to Merlion format\n", "train_data = TimeSeries.from_pd(time_series[trainval])\n", "test_data = TimeSeries.from_pd(time_series[~trainval])\n", "print(f\"{len(train_data)} points in train split, \"\n", " f\"{len(test_data)} points in test split.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Initialization\n", "\n", "In this notebook, we will use three different forecasting models:\n", "1. ARIMA (a classic stochastic process model)\n", "2. Prophet (Facebook's popular time series forecasting model)\n", "3. MSES (the Multi-Scale Exponential Smoothing model, developed in-house)\n", "\n", "Let's start by initializing each of them." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Import models & configs\n", "from merlion.models.forecast.arima import Arima, ArimaConfig\n", "from merlion.models.forecast.prophet import Prophet, ProphetConfig\n", "from merlion.models.forecast.smoother import MSES, MSESConfig\n", "\n", "# Import data pre-processing transforms\n", "from merlion.transform.base import Identity\n", "from merlion.transform.resample import TemporalResample\n", "\n", "# All models are initialized using the syntax ModelClass(config),\n", "# where config is a model-specific configuration object. This is where\n", "# you specify any algorithm-specific hyperparameters, as well as any\n", "# data pre-processing transforms.\n", "\n", "# ARIMA assumes that input data is sampled at a regular interval,\n", "# so we set its transform to resample at that interval. We must also specify\n", "# a maximum prediction horizon.\n", "config1 = ArimaConfig(max_forecast_steps=100, order=(20, 1, 5),\n", " transform=TemporalResample(granularity=\"1h\"))\n", "model1 = Arima(config1)\n", "\n", "\n", "# Prophet has no real assumptions on the input data (and doesn't require\n", "# a maximum prediction horizon), so we skip data pre-processing by using\n", "# the Identity transform.\n", "config2 = ProphetConfig(max_forecast_steps=None, transform=Identity())\n", "model2 = Prophet(config2)\n", "\n", "\n", "# MSES assumes that the input data is sampled at a regular interval,\n", "# and requires us to specify a maximum prediction horizon. We will\n", "# also specify its look-back hyperparameter to be 60 here\n", "config3 = MSESConfig(max_forecast_steps=100, max_backstep=60,\n", " transform=TemporalResample(granularity=\"1h\"))\n", "model3 = MSES(config3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have initialized the individual models, we will also combine them in two different ensembles: `ensemble` simply takes the mean prediction of each individual model, and `selector` selects the best individual model based on its sMAPE (symmetric Mean Average Precision Error). The sMAPE is a metric used to evaluate the quality of a continuous forecast. For ground truth $y \\in \\mathbb{R}^T$ and prediction $\\hat{y} \\in \\mathbb{R}^T$, the sMAPE is computed as\n", "\n", "$$\n", "\\mathrm{sMAPE}(y, \\hat{y}) = \\frac{200}{T} \\sum_{t = 1}^{T} \\frac{\\lvert \\hat{y}_t - y_t \\rvert}{\\lvert\\hat{y}_t\\rvert + \\lvert y_t \\rvert}\n", "$$" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from merlion.evaluate.forecast import ForecastMetric\n", "from merlion.models.ensemble.combine import Mean, ModelSelector\n", "from merlion.models.ensemble.forecast import ForecasterEnsemble, ForecasterEnsembleConfig\n", "\n", "# The ForecasterEnsemble is a forecaster, and we treat it as a first-class model.\n", "# Its config takes a combiner object, specifying how you want to combine the \n", "# predictions of individual models in the ensemble. There are two ways to specify\n", "# the actual models in the ensemble, which we cover below.\n", "\n", "# The first way to specify the models in the ensemble is to provide them when\n", "# initializing the ForecasterEnsembleConfig.\n", "#\n", "# The combiner here will simply take the mean prediction of the ensembles here\n", "ensemble_config = ForecasterEnsembleConfig(\n", " combiner=Mean(), models=[model1, model2, model3])\n", "ensemble = ForecasterEnsemble(config=ensemble_config)\n", "\n", "\n", "# Alternatively, you can directly specify the models when initializing the\n", "# ForecasterEnsemble itself.\n", "#\n", "# The combiner here uses the sMAPE to compare individual models, and\n", "# selects the model with the lowest sMAPE\n", "selector_config = ForecasterEnsembleConfig(\n", " combiner=ModelSelector(metric=ForecastMetric.sMAPE))\n", "selector = ForecasterEnsemble(\n", " config=selector_config, models=[model1, model2, model3])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Training\n", "\n", "All forecasting models (and ensembles) share the same API for training. The `train()` method returns the model's predictions and standard error of those predictions on the training data. Note that the standard error is just `None` if the model doesn't support uncertainty estimation (this is the case for MSES and ensembles)." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training Arima...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Training Prophet...\n", "\n", "Training MSES...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Training ensemble...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n", "INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Training model selector...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n", "INFO:merlion.models.ensemble.forecast:Evaluating validation performance...\n", "INFO:merlion.models.ensemble.forecast:Re-training model 1/3 (Arima) on full data...\n", "INFO:merlion.models.ensemble.forecast:Re-training model 2/3 (Prophet) on full data...\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Re-training model 3/3 (MSES) on full data...\n", "INFO:merlion.models.ensemble.forecast:Models used (of 3): 1 (Arima)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Done!\n" ] } ], "source": [ "print(f\"Training {type(model1).__name__}...\")\n", "forecast1, stderr1 = model1.train(train_data)\n", "\n", "print(f\"\\nTraining {type(model2).__name__}...\")\n", "forecast2, stderr2 = model2.train(train_data)\n", "\n", "print(f\"\\nTraining {type(model3).__name__}...\")\n", "forecast3, stderr3 = model3.train(train_data)\n", "\n", "print(\"\\nTraining ensemble...\")\n", "forecast_e, stderr_e = ensemble.train(train_data)\n", "\n", "print(\"\\nTraining model selector...\")\n", "forecast_s, stderr_s = selector.train(train_data)\n", "\n", "print(\"Done!\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Inference\n", "\n", "To obtain a forecast from a trained model, we simply call `model.forecast()` with the Unix timestamps at which we the model to generate a forecast. In many cases, you may obtain these directly from a time series as shown below." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# Truncate the test data to ensure that we are within each model's maximum\n", "# forecast horizon.\n", "sub_test_data = test_data[:50]\n", "\n", "# Obtain the time stamps corresponding to the test data\n", "time_stamps = sub_test_data.univariates[sub_test_data.names[0]].time_stamps\n", "\n", "# Get the forecast & standard error of each model. These are both\n", "# merlion.utils.TimeSeries objects. Note that the standard error is None for\n", "# models which don't support uncertainty estimation (like MSES and all\n", "# ensembles).\n", "forecast1, stderr1 = model1.forecast(time_stamps=time_stamps)\n", "forecast2, stderr2 = model2.forecast(time_stamps=time_stamps)\n", "\n", "# You may optionally specify a time series prefix as context. If one isn't\n", "# specified, the prefix is assumed to be the training data. Here, we just make\n", "# this dependence explicit. More generally, this feature is useful if you want\n", "# to use a pre-trained model to make predictions on data further in the future\n", "# from the last time it was trained.\n", "forecast3, stderr3 = model3.forecast(time_stamps=time_stamps, time_series_prev=train_data)\n", "\n", "# The same options are available for ensembles as well, though the stderr is None\n", "forecast_e, stderr_e = ensemble.forecast(time_stamps=time_stamps)\n", "forecast_s, stderr_s = selector.forecast(time_stamps=time_stamps, time_series_prev=train_data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Visualization and Quantitative Evaluation\n", "\n", "It is fairly transparent to visualize a model's forecast and also quantitatively evaluate the forecast, using standard metrics like sMAPE. We show examples for all five models below.\n", "\n", "Below, we quantitatively evaluate the models using the sMAPE metric. However, the `ForecastMetric` enum includes a number of other options as well. In general, you may use the syntax\n", "```\n", "ForecastMetric..value(ground_truth=ground_truth, predict=forecast)\n", "```\n", "where `` is the name of the evaluation metric (see the API docs for details and more options), `ground_truth` is the original time series, and `forecast` is the forecast returned by the model. We show concrete examples with `ForecastMetric.sMAPE` below." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Arima sMAPE is 3.795\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from merlion.evaluate.forecast import ForecastMetric\n", "\n", "# We begin by computing the sMAPE of ARIMA's forecast (scale is 0 to 100)\n", "smape1 = ForecastMetric.sMAPE.value(ground_truth=sub_test_data,\n", " predict=forecast1)\n", "print(f\"{type(model1).__name__} sMAPE is {smape1:.3f}\")\n", "\n", "# Next, we can visualize the actual forecast, and understand why it\n", "# attains this particular sMAPE. Since ARIMA supports uncertainty\n", "# estimation, we plot its error bars too.\n", "fig, ax = model1.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prophet sMAPE is 2.913\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# We begin by computing the sMAPE of Prophet's forecast (scale is 0 to 100)\n", "smape2 = ForecastMetric.sMAPE.value(sub_test_data, forecast2)\n", "print(f\"{type(model2).__name__} sMAPE is {smape2:.3f}\")\n", "\n", "# Next, we can visualize the actual forecast, and understand why it\n", "# attains this particular sMAPE. Since Prophet supports uncertainty\n", "# estimation, we plot its error bars too.\n", "# Note that we can specify time_series_prev here as well, though it\n", "# will not be visualized unless we also supply the keyword argument\n", "# plot_time_series_prev=True.\n", "fig, ax = model2.plot_forecast(time_series=sub_test_data,\n", " time_series_prev=train_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MSES sMAPE is 4.377\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# We begin by computing the sMAPE of MSES's forecast (scale is 0 to 100)\n", "smape3 = ForecastMetric.sMAPE.value(sub_test_data, forecast3)\n", "print(f\"{type(model3).__name__} sMAPE is {smape3:.3f}\")\n", "\n", "# Next, we visualize the actual forecast, and understand why it \n", "# attains this particular sMAPE.\n", "fig, ax = model3.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ensemble sMAPE is 2.599\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compute the sMAPE of the ensemble's forecast (scale is 0 to 100)\n", "smape_e = ForecastMetric.sMAPE.value(sub_test_data, forecast_e)\n", "print(f\"Ensemble sMAPE is {smape_e:.3f}\")\n", "\n", "# Visualize the forecast.\n", "fig, ax = ensemble.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selector sMAPE is 3.795\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compute the sMAPE of the selector's forecast (scale is 0 to 100)\n", "smape_s = ForecastMetric.sMAPE.value(sub_test_data, forecast_s)\n", "print(f\"Selector sMAPE is {smape_s:.3f}\")\n", "\n", "# Visualize the forecast.\n", "fig, ax = selector.plot_forecast(time_series=sub_test_data,\n", " plot_forecast_uncertainty=True)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Saving & Loading Models\n", "\n", "All models have a `save()` method and `load()` class method. Models may also be loaded with the assistance of the `ModelFactory`, which works for arbitrary models. The `save()` method creates a new directory at the specified path, where it saves a `json` file representing the model's config, as well as a binary file for the model's state.\n", "\n", "We will demonstrate these behaviors using our `Prophet` model (`model2`) for concreteness." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Prophet Config\n", "{'daily_seasonality': 'auto',\n", " 'dim': 1,\n", " 'holidays': None,\n", " 'max_forecast_steps': None,\n", " 'seasonality_mode': 'additive',\n", " 'target_seq_index': 0,\n", " 'transform': {'name': 'Identity'},\n", " 'uncertainty_samples': 100,\n", " 'weekly_seasonality': 'auto',\n", " 'yearly_seasonality': 'auto'}\n" ] } ], "source": [ "import json\n", "import os\n", "import pprint\n", "from merlion.models.factory import ModelFactory\n", "\n", "# Save the model\n", "os.makedirs(\"models\", exist_ok=True)\n", "path = os.path.join(\"models\", \"prophet\")\n", "model2.save(path)\n", "\n", "# Print the config saved\n", "pp = pprint.PrettyPrinter()\n", "with open(os.path.join(path, \"config.json\")) as f:\n", " print(f\"{type(model2).__name__} Config\")\n", " pp.pprint(json.load(f))\n", "\n", "# Load the model using Prophet.load()\n", "model2_loaded = Prophet.load(dirname=path)\n", "\n", "# Load the model using the ModelFactory\n", "model2_factory_loaded = ModelFactory.load(name=\"Prophet\", model_path=path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can do the same exact thing with ensembles! Note that the ensemble stores its underlying models in a nested structure. Additionally, the combiner (which is saved in the `ForecasterEnsembleConfig`), keeps track of the sMAPE achieved by each model (the `metric_values` key). This is all reflected in the config." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selector Config\n", "{'combiner': {'abs_score': False,\n", " 'metric': 'ForecastMetric.sMAPE',\n", " 'metric_values': [5.537074367680436,\n", " 8.691874724892063,\n", " 17.72980301555831],\n", " 'n_models': 3,\n", " 'name': 'ModelSelector'},\n", " 'dim': 1,\n", " 'max_forecast_steps': None,\n", " 'models': [{'dim': 1,\n", " 'max_forecast_steps': 100,\n", " 'name': 'Arima',\n", " 'order': [20, 1, 5],\n", " 'target_seq_index': 0,\n", " 'transform': {'aggregation_policy': 'Mean',\n", " 'granularity': 3600.0,\n", " 'missing_value_policy': 'Interpolate',\n", " 'name': 'TemporalResample',\n", " 'origin': 0.0,\n", " 'remove_non_overlapping': True,\n", " 'trainable_granularity': False}},\n", " {'daily_seasonality': 'auto',\n", " 'dim': 1,\n", " 'holidays': None,\n", " 'max_forecast_steps': None,\n", " 'name': 'Prophet',\n", " 'seasonality_mode': 'additive',\n", " 'target_seq_index': 0,\n", " 'transform': {'name': 'Identity'},\n", " 'uncertainty_samples': 100,\n", " 'weekly_seasonality': 'auto',\n", " 'yearly_seasonality': 'auto'},\n", " {'accel_weight': 1.0,\n", " 'dim': 1,\n", " 'eta': 0.0,\n", " 'inflation': 1.0,\n", " 'max_backstep': 60,\n", " 'max_forecast_steps': 100,\n", " 'name': 'MSES',\n", " 'optimize_acc': True,\n", " 'phi': 2.0,\n", " 'recency_weight': 0.5,\n", " 'rho': 0.0,\n", " 'target_seq_index': 0,\n", " 'transform': {'aggregation_policy': 'Mean',\n", " 'granularity': 3600.0,\n", " 'missing_value_policy': 'Interpolate',\n", " 'name': 'TemporalResample',\n", " 'origin': 0.0,\n", " 'remove_non_overlapping': True,\n", " 'trainable_granularity': False}}],\n", " 'target_seq_index': 0,\n", " 'transform': {'name': 'Identity'},\n", " 'verbose': False}\n" ] } ], "source": [ "# Save the selector\n", "path = os.path.join(\"models\", \"selector\")\n", "selector.save(path)\n", "\n", "# Print the config saved. Note that we've saved all individual models,\n", "# and their paths are specified under the model_paths key.\n", "pp = pprint.PrettyPrinter()\n", "with open(os.path.join(path, \"config.json\")) as f:\n", " print(f\"Selector Config\")\n", " pp.pprint(json.load(f))\n", "\n", "# Load the selector\n", "selector_loaded = ForecasterEnsemble.load(dirname=path)\n", "\n", "# Load the selector using the ModelFactory\n", "selector_factory_loaded = ModelFactory.load(name=\"ForecasterEnsemble\", model_path=path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulating Live Model Deployment\n", "\n", "A typical model deployment scenario is as follows:\n", "1. Train an initial model on some recent historical data\n", "1. At a regular interval `cadence`, obtain the model's forecast for a certain `horizon`\n", "1. At a regular interval `retrain_freq`, retrain the entire model on the most recent data\n", "1. Optionally, specify a maximum amount of data (`train_window`) that the model should use for training\n", "\n", "We provide a `ForecastEvaluator` object which simulates the above deployment scenario, and also allows a user to evaluate the quality of the forecaster according to an evaluation metric of their choice. We illustrate two examples below, using ARIMA for the first example, and the model selector for the second." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "from merlion.evaluate.forecast import ForecastEvaluator, ForecastEvaluatorConfig, ForecastMetric\n", "\n", "def create_evaluator(model):\n", " # Re-initialize the model, so we can re-train it from scratch\n", " model.reset()\n", "\n", " # Create an evaluation pipeline for the model, where we\n", " # -- get the model's forecast every hour\n", " # -- have the model forecast for a horizon of 6 hours\n", " # -- re-train the model every 12 hours\n", " # -- when we re-train the model, retrain it on only the past 2 weeks of data\n", " evaluator = ForecastEvaluator(\n", " model=model, config=ForecastEvaluatorConfig(\n", " cadence=\"1h\", horizon=\"6h\", retrain_freq=\"12h\", train_window=\"14d\")\n", " )\n", " return evaluator" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, let's evaluate ARIMA." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "ForecastEvaluator: 100%|██████████| 169200/169200 [00:07<00:00, 22208.87it/s]\n" ] } ], "source": [ "# Obtain the results of running the evaluation pipeline for ARIMA.\n", "# These result objects are to be treated as a black box, and should be\n", "# passed directly to the evaluator's evaluate() method.\n", "model1_evaluator = create_evaluator(model1)\n", "model1_train_result, model1_test_result = model1_evaluator.get_predict(\n", " train_vals=train_data, test_vals=test_data)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Arima sMAPE: 2.013\n", "Arima RMSE: 143.281\n" ] } ], "source": [ "# Evaluate ARIMA's sMAPE and RMSE\n", "smape = model1_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=model1_test_result,\n", " metric=ForecastMetric.sMAPE)\n", "rmse = model1_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=model1_test_result,\n", " metric=ForecastMetric.RMSE)\n", "print(f\"{type(model1).__name__} sMAPE: {smape:.3f}\")\n", "print(f\"{type(model1).__name__} RMSE: {rmse:.3f}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we will evaluate the ensemble (taking the mean prediction of ARIMA, Prophet, and MSES every time the models are called)." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n", "ForecastEvaluator: 26%|██▌ | 43200/169200 [00:03<00:09, 12999.69it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n", "ForecastEvaluator: 51%|█████ | 86400/169200 [00:09<00:06, 12030.39it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n", "ForecastEvaluator: 77%|███████▋ | 129600/169200 [00:16<00:03, 11949.85it/s]INFO:merlion.models.ensemble.forecast:Training model 1/3 (Arima)...\n", "INFO:merlion.models.ensemble.forecast:Training model 2/3 (Prophet)...\n", "INFO:prophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:prophet:Disabling weekly seasonality. Run prophet with weekly_seasonality=True to override this.\n", "INFO:merlion.models.ensemble.forecast:Training model 3/3 (MSES)...\n", "ForecastEvaluator: 100%|██████████| 169200/169200 [00:22<00:00, 7586.00it/s] \n" ] } ], "source": [ "# Obtain the results of running the evaluation pipeline for the ensemble.\n", "# These result objects are to be treated as a black box, and should be\n", "# passed directly to the evaluator's evaluate() method.\n", "ensemble_evaluator = create_evaluator(ensemble)\n", "ensemble_train_result, ensemble_test_result = ensemble_evaluator.get_predict(\n", " train_vals=train_data, test_vals=test_data)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ensemble sMAPE: 2.896\n", "Ensemble RMSE: 210.626\n" ] } ], "source": [ "# Evaluate the selector's sMAPE and RMSE\n", "smape = ensemble_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=ensemble_test_result,\n", " metric=ForecastMetric.sMAPE)\n", "rmse = ensemble_evaluator.evaluate(\n", " ground_truth=test_data,\n", " predict=ensemble_test_result,\n", " metric=ForecastMetric.RMSE)\n", "print(f\"Ensemble sMAPE: {smape:.3f}\")\n", "print(f\"Ensemble RMSE: {rmse:.3f}\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.0" } }, "nbformat": 4, "nbformat_minor": 4 }