1
0
This repository has been archived on 2025-01-12. You can view files and clone it. You cannot open issues or pull requests or push a commit.
Files
stock_learning/1_基本操作/3_数据基本处理.ipynb
2024-12-30 22:37:50 +08:00

209 lines
220 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
{
"cells": [
{
"cell_type": "code",
"id": "initial_id",
"metadata": {
"collapsed": true,
"ExecuteTime": {
"end_time": "2024-12-27T06:47:21.424903Z",
"start_time": "2024-12-27T06:47:21.008482Z"
}
},
"source": [
"import pandas as pd\n",
"\n",
"df = pd.read_csv(\"../document/SZ000001.csv\", index_col=0,\n",
" names=[\"date\", \"code\", \"open\", \"close\", \"high\", \"low\", \"volume\", \"amount\", \"amplitude\", \"momentum\",\n",
" \"momentum_amount\", \"turn_over_rate\"])\n",
"# 选择名为“date”“open”“open”“close”“high”“low”的列\n",
"df = df[[\"date\", \"open\", \"close\", \"high\", \"low\"]]\n",
"# 格式化“date”列为标准时间\n",
"df[\"date\"] = pd.to_datetime(df[\"date\"])\n",
"df.set_index(\"date\", inplace=True)\n",
"# 以close列为纵坐标date列为横坐标绘制折线图图片宽高20:6显示网格\n",
"df.plot(y=\"close\", figsize=(20, 6), grid=True)"
],
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='date'>"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"<Figure size 2000x600 with 1 Axes>"
],
"image/png": "iVBORw0KGgoAAAANSUhEUgAABj0AAAHnCAYAAADjBZ9XAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAA6TNJREFUeJzs3XecXHX1//H3tO0tm7bpHVIJIY2QUFMIAamKgqggRRGw5IcIgqEX4YtYQFFEFJUiKCIdQkkglYR0kpBKyqYn29u03x+zc6fdmZ3Zndmd3X09Hw8e3Ln3zr2fnbkzm/2ce86xeL1erwAAAAAAAAAAANo5a1sPAAAAAAAAAAAAIBkIegAAAAAAAAAAgA6BoAcAAAAAAAAAAOgQCHoAAAAAAAAAAIAOgaAHAAAAAAAAAADoEAh6AAAAAAAAAACADoGgBwAAAAAAAAAA6BAIegAAAAAAAAAAgA7B3tYDCOfxeFRaWqr8/HxZLJa2Hg4AAAAAAAAAAGhDXq9XlZWV6t27t6zW2LkcaRf0KC0tVb9+/dp6GAAAAAAAAAAAII3s3r1bffv2jblP2gU98vPzJfkGX1BQ0MajgZ/T6dS7776rWbNmyeFwtPVwAAPXJtIV1ybSFdcm0hXXJtIV1ybSFdcm0hnXJ9IV12b7VVFRoX79+hnxg1jSLujhL2lVUFBA0CONOJ1O5eTkqKCggC8EpBWuTaQrrk2kK65NpCuuTaQrrk2kK65NpDOuT6Qrrs32L56WGDQyBwAAAAAAAAAAHQJBDwAAAAAAAAAA0CEQ9AAAAAAAAAAAAB1C2vX0AAAAAAAAAACgvXC73XI6nW09jHYvIyNDVmvL8zQIegAAAAAAAAAAkCCv16v9+/errKysrYfSIVitVg0aNEgZGRktOg5BDwAAAAAAAAAAEuQPePTo0UM5OTmyWCxtPaR2y+PxqLS0VPv27VP//v1b9FoS9AAAAAAAAAAAIAFut9sIeHTt2rWth9MhdO/eXaWlpXK5XHI4HM0+Do3MAQAAAAAAAABIgL+HR05OThuPpOPwl7Vyu90tOg5BDwAAAAAAAAAAmoGSVsmTrNeSoAcAAAAAAAAAAOgQCHoAAAAAAAAAANDJ7dy5UxaLRatXr27robQIQQ8AAAAAAAAAANAhEPQAAAAAAAAAAAAdAkEPAAAAAAAAAABawOv1qqbB1Sb/eb3ehMbq8Xj08MMPa+jQocrMzFT//v11//33m+67YMECTZo0SZmZmerVq5duvfVWuVwuY/vLL7+sMWPGKDs7W127dtWMGTNUXV1tbP/zn/+sESNGKCsrS8OHD9fvf//75r3ACbCn/AwAAAAAAAAA0MH8fclOZTls+tqEfm09FKSBWqdbI+e90ybn/vyes5WTEf9U/2233aannnpKjz32mKZNm6Z9+/Zp06ZNEfvt3btXc+bM0ZVXXqlnn31WmzZt0rXXXqusrCzddddd2rdvny677DI9/PDDuuiii1RZWamPP/7YCML885//1Lx58/T4449r3LhxWrVqla699lrl5ubqO9/5TtJ+/nAEPQAAAAAAAAAgAYcq6/WLVzdIki44sY8y7BTUQftQWVmp3/zmN3r88ceNwMOQIUM0bdo07dy5M2Tf3//+9+rXr58ef/xxWSwWDR8+XKWlpfrZz36mefPmad++fXK5XLr44os1YMAASdKYMWOM599555169NFHdfHFF0uSBg0apM8//1x//OMfCXoAAAAAAAAAQLqoc7qN5Qa3h6AHlO2w6fN7zm6zc8dr48aNqq+v1/Tp0+Pad8qUKbJYLMa6qVOnqqqqSnv27NHYsWM1ffp0jRkzRmeffbZmzZqlr371q+rSpYuqq6u1bds2XX311br22muN57tcLhUWFib2AyaIoAcAAAAAAACATq3e5VZlnUvd8jLj2t9hCwQ5GlweKb6noQOzWCwJlZhqK9nZ2Uk7ls1m03vvvafFixfr3Xff1e9+9zvdfvvtWrZsmXJyciRJTz31lCZPnhzxvFQiBAkAAAAAAACgUzv+jrc14b75en/jgYSfW+9yN70TkCaGDRum7Oxsvf/++03uO2LECC1ZsiSkUfqiRYuUn5+vvn37SvIFe6ZOnaq7775bq1atUkZGhl555RX17NlTvXv31vbt2zV06NCQ/wYNGpSyn08i0wMAAAAAAAAAJElX/22Fdj50bpP7uYMmgf+2+Etdc+qguLNEgLaUlZWln/3sZ7rllluUkZGhqVOn6tChQ9qwYUNEyasf/OAH+vWvf62bbrpJN954ozZv3qw777xTc+fOldVq1bJly/T+++9r1qxZ6tGjh5YtW6ZDhw5pxIgRkqS7775bP/zhD1VYWKjZs2ervr5eK1as0LFjxzR37tyU/YwEPQAAAAAAAAAgAR5PIOjx5IJt+mTrIb1+06ltOCIgfr/4xS9kt9s1b948lZaWqlevXvr+978fsV+fPn305ptv6qc//anGjh2r4uJiXX311brjjjskSQUFBVq4cKF+/etfq6KiQgMGDNCjjz6qc845R5J0zTXXKCcnR4888oh++tOfKjc3V2PGjNGPf/zjlP58BD0AAAAAAAAAIAGeoEwPSVq/t6KNRgIkzmq16vbbb9ftt98esc0bdm2ffvrpWr58uelxRowYobfffjvmuS6//HJdfvnlzR9sM9DTAwAAAAAAAAAS4PZ4m94JQJsg6AEAAAAAAAAACSDmAaQvgh4AAAAAAAAAOq195bUJPye8vBWA9EHQAwAAAAAAAECnVVqWeNCD8lZA+iLoAQAAAAAAAKDTcnsSf054psfUoV2TNBq0N+GNv9F8yXotCXoAAAAAAAAA6LTCAxi/fHtT088JC5Rk2W3JHBLaAYfDIUmqqalp45F0HA0NDZIkm61lnyd7MgYDAAAAAAAAAO1ReNDjDx9t089mD4/5HHfYc1yUu+p0bDabioqKdPDgQUlSTk6OLBZLG4+q/fJ4PDp06JBycnJkt7csbEHQAwAAAAAAAECnFZ61EddzwoIeNDbvnEpKSiTJCHygZaxWq/r379/i4BFBDwAAAAAAAACdVnjWRlM27qvQ/72zOfQYZHp0ShaLRb169VKPHj3kdDrbejjtXkZGhqzWlnfkIOgBAAAAAAAAoNPyJBCw2LivQuf85uOI9QQ9OjebzdbiPhRIHhqZAwAAAAAAAOi0EilNtWLnUdP1BD2A9EHQAwAAAAAAAECnZRaviBbEKCnMNl2faIksAKlD0AMAAAAAAABAp2UW4HBF6W5ut5k3WE6kRBaA1CLoAQAAAAAAAKDTMitvFS3Tw+2Osp5MDyBtEPQAAAAAAAAA0GmZBTicUYIbrijBEFeU/QG0PoIeAAAAAAAAADqteDM9vF6v7nvj85B1GTarcQwv2R5AWiDoAQAAAAAAAKDTMotVmPX0WLbjqPYcqw1Z95tvnChJ+uJAlSbeP1+rd5elYIQAEkHQAwAAAAAAAECnZdrI3KRcVVmNM2LdqN6FxvLhqgbd+NxnyR0cgIQR9AAAAAAAAADQaZk1IY/WyDxcv+LskMfhmSAAWh9BDwAAAAAAAACdlscs08Nk3e6jNRHrLBZLxLr1e8uTMzAAzULQAwAAAAAAAECnZZ7pEdnT4/43N5o+/ztTBoQ8rqp3JWdgAJqFoAcAAAAAAACATiu4lFW3vExJktOkp0c0GfbQKVarSfYHgNZD0AMAAAAAAABAp3Wosl6SNGdMiRw2X8Ai3p4ekmS3hQc9kjc2AIkj6AEAAAAAAACg0/rdB1slSW+u2y9bY8TijXX75HJHlrgK1i0vQ5LkCItymPX5ANB6CHoAAAAAAAAAgCR7YwDjDx9t0+8/2masr21wh+x35vHd9Y9rJkuSbNbQKdZVu46leJQAYiHoAQAAAAAAAAAKLVX1/PJdxnJNQ6A5eb/ibD1z1SQNLylofE5oZsd9b5g3PAfQOgh6AAAAAAAAAIACmR6SVOcMZHcEd/h4/LKTQp7jsFHOCkgnBD0AAAAAAAAAQDJ6ekhScC9zb+OyxSKN7VcU8pwMG1OsQDrhEwkAAAAAAACgU3puWaCE1d3njwrJ9PB4A1EPb+OyWU5HdoYtZeMDkDiCHgAAAAAAAAA6pZ+/ss5YLs7NCOnp4QlK9fAvWS2RYY8sB0EPIJ0Q9AAAAAAAAADQ6dmslqjlrfxZHyYxD2XamWIF0gmfSAAAAAAAAACdntPtiVreymP09IiMemSS6QGkFYIeAAAAAAAAADq99zceDClv5Q1pZB69pweZHkB64RMJAAAAAAAAoNMryLbHaGTu+79ZT49MO5keQDoh6AEAAAAAAACg07vxzGEhPT1cnsigh1lPj2E981I9NAAJIOgBAAAAAAAAoNPrkZ8ZkukRzJ/1YZbpUZDl0LKfT0/p2ADEj6AHAAAAAAAAgE7ParXorfX7Tbd5YvT0kKSeBVkpGhWARBH0AAAAAAAAAIAoGlwe+QtdmZW3ApBeCHoAAAAAAAAAgIkFXxzSiHlv67lluyT5skEApDeCHgAAAAAAAAA6pQFdcyRJ1546yHT79f9YKbfHq6c/2SEpenkrSSFN0AG0nYSCHg8++KAmTpyo/Px89ejRQxdeeKE2b94csk9dXZ1uuOEGde3aVXl5ebrkkkt04MCBpA4aAAAAAAAAAFrKH6Y4e1SJJGn8gC4h2/29PPzMGpn7vfnDUyUpajN0AK0joaDHggULdMMNN2jp0qV677335HQ6NWvWLFVXVxv7/OQnP9Frr72ml156SQsWLFBpaakuvvjipA8cAAAAAAAAAFrC3RjU8JetumZaaMaHyx0a9IjV06Mg2+57jserR97ZlMRRAkiEPZGd33777ZDHf/3rX9WjRw+tXLlSp512msrLy/X000/rueee01lnnSVJeuaZZzRixAgtXbpUJ598cvJGDgAAAAAAAAAt4PH4/m9rjGaE9+xwecKDHtGjHragbU98uE0/PXt4kkYJIBEJBT3ClZeXS5KKi4slSStXrpTT6dSMGTOMfYYPH67+/ftryZIlpkGP+vp61dfXG48rKiokSU6nU06nsyXDQxL53wveE6Qbrk2kK65NpCuuTaQrrk2kK65NpCuuTaSz9nR9uty+qIfX45bT6ZTX4465v0XRfy6P2xXyuD38/J1Ne7o2ESqR98zi9YYVpouTx+PR+eefr7KyMn3yySeSpOeee05XXXVVSBBDkiZNmqQzzzxTv/zlLyOOc9ddd+nuu++OWP/cc88pJyenOUMDAAAAAAAAgCbdscKmSqdFt5zgUp9cacMxi/60yRZ1/+JMr+48yTwwUu2Ufr4icI/5b6a4TPcDkLiamhpdfvnlKi8vV0FBQcx9m53pccMNN2j9+vVGwKO5brvtNs2dO9d4XFFRoX79+mnWrFlNDh6tx+l06r333tPMmTPlcDjaejiAgWsT6YprE+mKaxPpimsT6YprE+mKaxPprD1dn3et+VByOnXGaadpWM885W85rD9t+izq/vm5uZozZ5rptopap36+4kPj8Zw5c5I+XrRMe7o2EcpfISoezQp63HjjjXr99de1cOFC9e3b11hfUlKihoYGlZWVqaioyFh/4MABlZSUmB4rMzNTmZmZEesdDgcXXhrifUG64tpEuuLaRLri2kS64tpEuuLaRLri2kQ6aw/Xp79lR0aGb6wZTYw3w26N+jNleUL7fdhs9ogeIUgP7eHaRKhE3i9rIgf2er268cYb9corr+iDDz7QoEGDQraPHz9eDodD77//vrFu8+bN2rVrl6ZMmZLIqQAAAAAAAAAgpTyNUQ97Y3CiuiF2SSqHLfp0arYjtCzWrqM1LRwdgOZIKNPjhhtu0HPPPadXX31V+fn52r9/vySpsLBQ2dnZKiws1NVXX625c+equLhYBQUFuummmzRlyhTTJuYAAAAAAAAA0FZcjUEPW2PQY8qQruqRn6mDlfWm+zvs0YMe4VkdFXU0ywbaQkKZHn/4wx9UXl6uM844Q7169TL+e/HFF419HnvsMZ133nm65JJLdNppp6mkpET/+c9/kj5wAAAAAAAAAGgJt9cX9PAHLAqyHProp2dE3d+RQLkqp9vborEBaJ6EMj283qY/qFlZWXriiSf0xBNPNHtQAAAAAAAAAJBq/vJWNksgmGG1RA9sxCpvJfkyRtyNx3S5PUkYIYBEJZTpAQAAAAAAAAAdRSDTI7DOHiObI1Z5Kyk0eEKmB9A2CHoAAAAAAAAA6HQq6pzyF7axB0U9bLGCHk2UtwoOnjg9ZHoAbYGgBwAAAAAAAIBO58E3NxrLwRkalhaUtwoOnjhdBD2AtkDQAwAAAAAAAECns2pXmbFsjXOWtKnyVtedNthYdnkobwW0BYIeAAAAAAAAADodb1BMIlZJq2AOW+z9bjhzqHIybJIkp9ujPcdqdNPzq7Rmd1njOQmEAKlG0AMAAAAAAABAp+NVIAARb9CjvMYZc7vNatHEgcWSfI3Mf/zCar22plQXPLFId/1vgyY/8L6OVNU3f9AAmkTQAwAAAAAAAECnE1x9yhajj0ewstrYQQ8p0PfD6fZo55FqY/1fF+/Uwcp6/fmTHYkNFEBCCHoAAAAAAAAA6HQ83sQzPVzuppuTZ9h9x2pweUwbn1fEETgB0HwEPQAAAAAAAAB0PkGZHpY4Mz3iaU7eJSdDknS4ql52kx4gFXWu+MYHoFkIegAAAAAAAADodJrTUtwdR9AjL8suSappcMtuJdMDaG0EPQAAAAAAAAB0OsHlrWL59PYZxnI8mR6ZdpskX3krM5V1BD2AVCLoAQAAAAAAAKDTcbmjBzC+Nr6vehZkas28Weqen2msjyfTI9Pum3KNFvSoaXAby18eqdbvP9qqepfbdF8AibO39QAAAAAAAAAAoLXFCjQ88rWxcnu8EQ3O4wl6ZDQ2L48nkHH6Ix9JkmwWi753+pAm9wfQNDI9AAAAAAAAAHQ6tQ2xgxLBAY/7Lhyt3AybfnXp2CaP62hsXu6MEiDxV9VyugOZIFsPVjV5XADxIdMDAAAAAAAAQIfn9XplsQQCGUN65GntnvK4nnvFyQN02aT+EZkfZmyNmR5ut1c7DldHjqOxhXqdMxB0sdu4Nx1IFj5NAAAAAAAAADq06nqXznp0gW5/ZZ2xrnuer1fHj2cMi+sY8QQ8JMnRuN+R6nrT7f4EkOCeItX1rriODaBpBD0AAAAAAAAAdGhvrN2nHYer9c9lu4x11Q2+QMOQ7nlJPZc/a2PvsVrT7d7G+lZOT6C8VXCpKwAtQ9ADAAAAAAAAQIfm8Ub211i6/agkKdthS+q5/D09ap3mPUP8IwnO9KiLsi+AxBH0AAAAAAAAANChWS3RS1NtPZTcJuL+Mlg10RqlN8Y67n9jo7EqWoAEQOIIegAAAAAAAADo2IJiHt6wrI+ZI3sm9VR2q2/Ktd5lXrLKf/Y31u0z1tU5KW8FJAtBDwAAAAAAAAAd2hf7K43lhsb+Gf6+5PlZ9qSey1/eKthxPQN9Q3Ycrta+8tB+H5S3ApKHoAcAAAAAAACADsvr9erPn+wwHte7PPJ6vfI0plzEKn3VHP7yVsHcntDskvqwzI6DlfURGSgAmoegBwAAAAAAAIAOa0NpRcjjeqdHwfGFZAc9HLbIKddth6pDHq/eXRby+Gh1g/YcC83+ANA8BD0AAAAAAAAAdFjhpaPqnG55gqIetiQHPewmmR7h1u8tj1h3rKYhqeMAOiuCHgAAAAAAAAA6jXqXR+6goIclyTOkdpNMj3Bj+hZGrAsvgQWgeQh6AAAAAAAAAOiwwkMJ9S63Xvlsr/E42eWt4sn0qHd5ItZ56OkBJAVBDwAAAAAAAAAdltMdGmCoc7p163/WGY+TXt7KlljQY3C3XEmSOzIOAqAZCHoAAAAAAAAA6LAawrIqKutcIY+THPMwbWQerr6xz8gFJ/aWtTEzhPJWQHIQ9AAAAAAAAADQYYWXkiqvdYY8bsvyVpl2q5FpQnkrIDkIegAAAAAAAADosMKDHgcr6kMe2+IIUiTCbo095ZrtsAUFPWxkegBJRtADAAAAAAAAQIflLyXld/+bG0MeJznm0WRPD7fHq3qXb0xZDqv81bDcZHoASUHQAwAAAAAAAECHFZ7pEc7SyuWtXB6P6p2BTA+jvFVjpofX69W2Q1XyEgQBmoWgBwAAAAAAAIAOq6mgR7JZmwh6eLxSXWP2SabdGlHe6lfvfaHpjy7QY+99kdqBAh0UQQ8AAAAAAAAAHVZDawc94sgcqap3SZIyHZGNzH/3wVZJ0m8b/w8gMQQ9AAAAAAAAAHRYTrcv6FGQZW+V84Unepg1Sj9Y6WumXpSTEZTpkfKhAZ0CQQ8AAAAAAAAAHZarMZrQsyCrVc4X3iMkJ8MWsc/eY7WSpO55mUamxydbD+lgZV3qBwh0cK0T3gQAAAAAAACANtDg9pWN6lecoy0Hq1J+vvDqVjkZNlXWuULW7S3zBT265WUamSDPL9+thV8cTvn4gI6OTA8AAAAAAAAAHZar1ctbhUY9cjOin7dbfkZI43N/MARA8xH0AAAAAAAAANBh+Xt69O2S0yrnC2/hkR8j2NI1N1O2pvueA0gAQQ8AAAAAAAAAHdK+8lrVNLglSQ6bVf+8ZnLKzxme6VGQ7TDdLz/Trgy7NaLReXFuhrHs9niTP0Cgg6OnBwAAAAAAAIAOZ92ecn3l8U+Mxw67RYVRAhDJFN7TI1qmR2W9r89HeJDkaHWDsex0e2SzRjZCBxAdmR4AAAAAAAAAOpyXVu4OeeywWjWiV0HKzxsexMjPjB1oCc/0COYvzQUgfgQ9AAAAAAAAAHQo+8vr9MLysKCHzRIzwJAsEUGPJhqo223Rp2idbspbAYki6AEAAAAAAACgQ/naHxerISxLwiy4cMXJ/ZN+7shG5oFMjxkjekTsn+2IPkXrItMDSBhBDwAAAAAAAAAdyu6jtRHrMkyCHvddOCbp57bEyPTIywwsX3/GEElStiN6z47wwA2AphH0AAAAAAAAANDh2W2hwYiinNQ3NZcU0jy9pDDbWJ40sFiSlJ0RvfwV5a2AxBH0AAAAAAAAANDhOcIyPS6d0K9Vzuv2BgIXfboEgh4Zdt94YmV6LNp6OHUDAzoogh4AAAAAAAAAOjxHY6bH/ReN1uRBxbrhzKEpO9cJfQuN5SmDu+r8sb115SkDVRBU6soIemREn6K9838bUjZGoKOKnjsFAAAAAAAAAB2EP9Pjm5MH6JuTB6T0XC9//xS9smqPehdlq19xjn572ThJ0pvr9hn7+HuMFOVkRD2O20N5KyBRBD0AAAAAAAAAdHh2k0bmqZJht+rrE/tHrA8usVXQ2OujpCCr1cYFdAaUtwIAAAAAAADQ4TnCGpm3hTqn21juVegLdgQ3Ojfzxtp9+uHzq1RV70rp2ICOgqAHAAAAAAAAgA7D6zUvCRXeyLwtHK1uMJazGhuYH1+Sb6y7edZxGtuvSK/84BRj3Q3Pfab/rSnV6Dvf0ZYDla03WKCdavtPOgAAAAAAAAAkSZ3TYyzfMvt4Yzkdgh5njyqRJE0Y0MVYl+Ww6bUbp+l3l43TjWcN06s3TNW4/l1UlBOZAXL/mxtbbaxAe0VPDwAAAAAAAAAdxrEaXzaFw2ZRn6JsY73d2vblrUoKs7Rm3izlZtpC1o/pW6gxfQtD1k0cWKz3Pj8Qsu6jzYdSPkagvWv78CYAAAAAAAAAJIk/6FGUk6GMoOyOLEd6TIUW5jjiaqo+aWCx6foNpeU6UlWf7GEBHUZ6fNIBAAAAAAAAIAnKa5ySpKJsh+pcwY3Ds6M9JS11y88wXX/ubz/RqQ9/2MqjAdoPgh4AAAAAAAAAOoxjjUGPLjkZOlgRyIjIzWxflf7t1uhTtzUN7qjbgM6OoAcAAAAAAACADiNQ3sqhOWN6SZImDuwS6ylpyWFr+x4kQHvUvsKbAAAAAAAAANqEy+3Rmj3lGtOnUBn29L2XuqreJUnKy7KrX3GOPvvFTBVktb9p0FiZHgCi45MDAAAAAAAAoElPfLhNl/xhsR54c6P2ltVq99GaiH3qnG794LnVenN32007uj1eSTKamBfnZsTVODzdHGqiWfmWA5WtNBKgfUn4075w4UJ95StfUe/evWWxWPTf//43ZPuVV14pi8US8t/s2bOTNV4AAAAAAAAAbeCx+V9Ikv66eKemPvSBTn34Q9WG9ZZ4bU2p3tt4UO/ssWrtnvK2GKZcbl/Qw2Zt3+Wh9pXXxdw+87GFrTQSoH1JOOhRXV2tsWPH6oknnoi6z+zZs7Vv3z7jv+eff75FgwQAAAAAAACQfg7HyEb4cPOhVhxJgNvjkdT+gx5fPalvWw8BaJcSLmZ3zjnn6Jxzzom5T2ZmpkpKSpo9KAAAAAAAAADpz+n2hDwO7vXxx4936ObZI1p7SHJ5OkamR1477EMCpIOUFLP76KOP1KNHDx1//PG6/vrrdeTIkVScBgAAAAAAAEAbqgkrb1XnDDx2NpaZam1ur++89nYe9EjnZvFAOkt6uHD27Nm6+OKLNWjQIG3btk0///nPdc4552jJkiWy2WwR+9fX16u+PpAGV1FRIUlyOp1yOp3JHh6ayf9e8J4g3XBtIl1xbSJdcW0iXXFtIl1xbSJdcW0iXZTX1MnpzDEe19SHXpP19Q2ytnLwwdkYeLHI264/IxaPp8l9aurq5Whs0n64ql5/W7JLw3rk6fyxvVI9vHaJ7872K5H3zOL1epsdcrVYLHrllVd04YUXRt1n+/btGjJkiObPn6/p06dHbL/rrrt09913R6x/7rnnlJOTE7EeAAAAAAAAQOv70ZLI+6evG+7WqC6B6cUPSi169cvAjc+PTHIpI/I+6JT69w6rFu63alYfj87t33TgIJ0tPWjRe3usOlxvHjh6aKJL2XbJ7ZXmLg28P/dPcCnP0VqjBFKvpqZGl19+ucrLy1VQUBBz35QXhhs8eLC6deumrVu3mgY9brvtNs2dO9d4XFFRoX79+mnWrFlNDh6tx+l06r333tPMmTPlcPCNifTBtYl0xbWJdMW1iXTFtYl0xbWJdMW1ibbwoyXvRqwbdcI4zRkT6O2746Pt0pdbjcennTVDxbkZrTI+v+WvbZT279Zxw4ZqzvShrXruZJsjqc/CHfq/97aYbj/1zOnqkZ+p/RV10tKFxvrxp5yuId1zW2mU7Qffne2Xv0JUPFIe9NizZ4+OHDmiXr3MU6oyMzOVmZkZsd7hcHDhpSHeF6Qrrk2kK65NpCuuTaQrrk2kK65NpCuuTbS1OrfXuAbLahr06/e3hmx3y9rq16hHvqyIDIe9Q3w++nWNHrxweS1yOBxq8NSHrPe0wevenvDd2f4k8n4lHPSoqqrS1q2BL68dO3Zo9erVKi4uVnFxse6++25dcsklKikp0bZt23TLLbdo6NChOvvssxM9FQAAAAAAAIA0VlnnMpZPvOe9iO3Bjc1bi8fjK7dla+eNzP2mDOkadZu/kXxFbWi/g9o2eN2BdGFN9AkrVqzQuHHjNG7cOEnS3LlzNW7cOM2bN082m01r167V+eefr+OOO05XX321xo8fr48//tg0mwMAAAAAAABA+7Vsx1F5PF6V15o3GT5W09DKI5JcjUEPewcJevTIz9LbPz41ZF3fLtmSAsGNiqDgkyRtKC1vncEBaSjhTI8zzjhDsXqfv/POOy0aEAAAAAAAAID0k+2wRWQQvPf5Af1l0Q51yzO/4fnWf6/Te3NPb43hGdweX/PyjpLpIUnDSwK9jwuy7Mpp7A5fFyXTY96rG/TtKQNbbXxAOkk40wMAAAAAAABA5+OOciP0fW9sVI8C86DHloNVqRySKVcHK28Vrk+XHGU7fEGP9Y0ZHRV15pk2QGdE0AMAAAAAAABAkxpcHtP1A7vmyOmOXhmmNby8co8mPzBf6/eW6/W1+yRJ1fWuJp7VPvUpylJpeZ0k6YE3N0mSKmo75s8KNAdBDwAAAAAAAAAxHa0O9ObokR+a1TG0R75c7tCAyAUDfGWXRvUuUGu4+aU1OlBRr+//Y6WxbtWuslY5d2sb3D0vov0AmR5AAEEPAAAAAAAAADF9eaTaWH7jh6fqngtG6aqpAyVJHq9XXxwIlLH67/Unq3eObzladkiq7DlWayx/Y1L/Vj13qs2deZyGl+TrB2cM0bAe+SHbKgl6AAaCHgAAAAAAAABi2t9YTmn8gC7qnp+pb08ZqNG9CyX5emis3n3M2D6qd4H81a7aoqdHr8IsSVLPKH1G2qsfTh+mt398mopyMvTzOSOM9aVltappbGg+slcgs+ZQZX2rjxFIBwQ9AAAAAAAAAMS0rzHoUVKQZayz23yNwj0er9yNzcPPPL67JGl3kmMdK3Ye1Yuf7opr3zqnLwDgb/bdEY0MKhtWVuM0eqqcNbyHsf7+Nz5v9XEB6YCgBwAAAAAAAICo6pxu/WPpl5KkksJA0MNq8QU9XB6PXI1Bj56NQZHhRYGeE+H9J5rjq08u0c/+vU7LdxyNY7y+klpZHTjoYbNaVJybIUnyyitnYxmxnMzAz/zf1aVtMjagrRH0AAAAAAAAABDVr977QtsP+3p69DIJeizdftTI9PBnf/TIDjzfv625/KW1JGnH4aZTSGobMz06ctBDCmSyuNxeuTy+oEduhr0thwSkBT4FAAAAAAAAAKL62+KdxnJwpofTHWhSvrOx0bnN6rvHOvhOa5fHK3sL4g97y2qMZXcCfdGzHB37fm9HY4DJ6faoobG8VXZG2wZ61uwu06urS5WbadPcmcfJ0hgYA1oTQQ8AAAAAAAAAUdW7ApGG4EyP0X0CfSV2H62VJNmtvklua9Bcd0szPRy2QPDCn8URzmqRwk/T0TM97I2vi9MdKG+VaQ8N9BypqlfXvNZp6L5+b7kueGKR8Xj6iJ46sV9Rq5wbCNaxw50AAAAAAAAAkqZnUCPzTJP0DX/2R0jQo4U9PezWwBRmjkkmw8sr90QEPOxWS0iwpCPKaPz56l1uVTe4Qtb5fbL1cKuN57zffRLyuLzW2WrnBoJ17E8+AAAAAAAAgKTpkZ8Vc/uCzYckhQU93F79aeE2zXpsgb5sLIOVCK8CEY2ibEfoNq9XN7+0JuI5HT3LQwoEgK585lOt3VMuSRGBnuAsndZW2xiIAVobQQ8AAAAAAAAAUY3pU2gsZwSVTwru7+F3+eT+kqTgTg5Oj0cPvLlJXxyo0i/f3pTw+V3uQNAjPGvkqY+3mz6no/fzkMz7dzjCyls5E2mC0kKFYQGpmgbzUmRAqnX8Tz8AAAAAAACAZvP3ifj9N08KWe+wWTWga07Iul5F2ZIkiyWQiVAbNPldWlYnb4LlrlxBtav8/UG8Xq8+3nJID7xpHkTpDJkeZj+jv7m53/sbD+q9zw+kfCwut8coZ1WU4wt+VBP0QBsh6AEAAAAAAADAlNfr1Yovj0kKLVnld94JvUIeB0+652XaJUmVdYEyR6t3l+nKZz5NaAxuk6DHR5sP6VtPL4/6nOxOEPQw+xnDe3p8sOmgrn12hQ5W1kmS9pXX6rg73tL3/r4iqWP5x9IvjeUuORmSKG+FtkPQAwAAAAAAAICpz3YdM5Z3H62N2D6gODfkcXDTcX/Q46PNB0P2WfDFoYTG4PIESjT5gx5LdxyJ+ZxvTxmQ0DnaI7Oghz1K8/Ydh3y9VJ7+eIcaXB69s+GAPi+tSNpYVu4qM5b9Za4ob4W2QtADAAAAAAAAgKlj1U5jucGkP8TwXvnG8oheBSrOzTAe52X5JuX3HIsMliQiuKeHp7E0VnFORrTdJUnfmjKwRedsD6wmqTd2s3QcSfsrfJke/YoD5ci2HqpK2lh2Hg40qO/bxVfirJagB9qIva0HAAAAAAAAACA9ON0eHaysV5/G3hzBWRZmvThO6Fuk566ZrF5F2RrULTTrIz/Td8f/0eqGFo0ptLyV7/+exNqCdEgZNvMAh5myGqc+2nxQy4IyZOqdyQtKHGgMqkgy+rzUJvH4QCLI9AAAAAAAAAAgSfruXz/V1Ic+0OKthyWFNhG/4mTzklGnDO0WEfCQpLxMX6bHgcr6Fo0peAwPvrVRkuRVZNSjV2FWi87T3mTYI6d2zbJxJKmq3qUrn/lUb67bb6yrd5nv2xxltYGMIH/ZrYYkHh9IBEEPAAAAAAAAAJKkj7f4gh0/fGG1pECWxdShXVXUREmpcPlZvkyPPUdrIraZZY1E4wqayPc3RfeEpXrcds5wdc1LbHztndUSmenRuzBb/7h6ckhDeckX9AiXzKCHv4+HJGXabUk/PpAIgh4AAAAAAAAAQhyuqtdnu47J2dhPI7hBebz8mR5HTMpbJTIh7goLcKzfW64Gd+i6750+RN9p7ONx6rBuCY60nQqLefxkxnEqKczStGHddMOZQ0O2uU3qga0KalLfUv5Mn8sm9TMyUPyZHp/tOqbSspb1dQESQdADAAAAAAAAQIQ1u8vkbuzpEa1Bdiz5WdHbCdcl0O8hfML+0j8uUb0r8vlfHd9Xb//4VD39nYnxD7IDufGsQKBj5sieIdvMSk29vnZf0s7tz8Y58/geys7wN7Cv0fq95br494t15v99lLRzAU0h6AEAAAAAAIBOY/HWw5r5qwVasfNoWw8l7S384pB+9u91kiRbM4IeeZnRgx41DfEHPZxhfSpqGtyqd0ZO4lssFg0vKTDtddERWcJSPYLfo1G9C0O21TRElreSEgs+xeLPCHLYrCpqLHW1Zk+5bv3PWkmUukLr6hzfAAAAAAAAAICky/+8TFsOVunyp5a19VDSUkFQdsaHmw8Zyw5b4tOIsTI95m88EPdxzEozMYkumbT0iOpfK/aYrj9QUZeUsfgDUw6bVV1yA71V1u+tMJYT6eMCtARBDwAAAAAAAHQ6DW4mzc3UmWRQSMnP9Jj36oa4jxPe00OSaXkrhHro4jFN7uN0JycQEQh6WEKamgcjUIXWQtADAAAAAAAA6IDe33hAT3y4Ne477F1uT9RgUHN6euTFyPRIhFmmx38+25uUY7dnTb0j35jUX3/+9oSY+7g8yQlEGA3vbdaowa7KOvMSW0CyEfQAAAAAAAAAJL2zYb+eWri9rYeRNFf/bYUeeWezPt5yOK79a2P0dyivdSZ8/liZHokI7+kBn3jKWxXnZZiu75aXKUlyupKb6ZFhs6pXYZbpPtX1nTvo4fV69e+Ve7T9UFVbD6XDS843DwAAAAAAANDOfe/vKyVJJw0o0vgBxW08mpYJzu7YdbQmrudEK20lSXvLahMeQ36Sgh5mmR7BPr7lzKScp70Jb2RuZnhJvun6LIfvXnhn0jI9Gstb2S2yWCw6a3gPfbDpYMg+VZ086PGvFbv1s3+vkyTtfOjcNh5Nx0amBwAAAAAAADqdWNWaVu8ub72BpMiirUeM5YY4eym8ujp6yaiDlfUJjyG8vNWvv35iwseQzHt6+J06rJv6Fec067jtXTyZHjkZkYGnq6YONBrTu5LW08N3HP9xLzixd8Q+nT3oMX/jwaZ3QlIQ9AAAAAAAAACC3Pv65/I0kV2Q7rYcrDSWt8ZRTuejzQd13xsbo253NaPEVHCmx/VnDNGF4/royStOkiT1jlICyUysniTXnz4k4XF1NiUFoa/1nV8ZZfRoac776vf0Jzt0wROLVF7jVF1jabSMxqDHeSdEBj06e3mrw1WJBw7RPAQ9AAAAAAAA0OmExzTCJ3/P+c3HLZoQbmv5WQ5j+bllu5rc/8NNse9CtzWjkXlOhs1Yrm8sndW/OFdS7OyNcLHehpMGdEl4XB1FvO/I7xsDTcH8GRnOFgT37n39c63ZXaYnPtqq+sZsooLG687seunsmR4EPVoPPT0AAAAAAADQ6dWHlYDafKBSXxyo0sjeBW00opaJp4n4vvJa3ffGRl11ykAt3X405r4XnNgn4TFYguov1bkaMwHsvsn28Nc7Fk9jpsf4AV208stjIdsy7Z33nu5xcQZ8TurfRTsenKO31u/XyF6+69lh8703zgTeh2DB2Tf7yuuM5dxMm9nukgh6HKlqaOshdBoEPQAAAAAAANDpmfW98Dd7bo+yM6JPPvvNe3WD3vv8gN5Yuy9kfbe8DB1unKA94/juuuDE3jpndK8Wjcef6eEPUsTbZ0QKBD38pZOCWeJpbNFBnXFc97j3tVgsmjMm8B7a/T09mtnI/KPNh4zl8lqnJCnbYTOOa6aqrnMHPWoa3G09hE6j/X5zAwAAAAAAAEnSYFJDyW5tv1Nnnhh9MPz2Hqs1XW+xWHTdaYPVNTdD9104WheN66ssR9NBlFjqGzM9jKBH2Ov9eWmF3t2wX0erGyJ6eBhBj06c1WHGYrGooLFZfN8u2Qk919/Tw9nMRubr9pYbyxWNQY/cJrKLap1M+qN18E0BAAAAAACATs8s88AdR+AgXYUHDupMJpyjlcBye7z6+ZwRWnHHDPXtkpOU8bg9oYELt8cb0jNlzm8/1nV/X6mT7n1P/1qxO+y5vv87YmQRdFb/+v4UfWVsbz373UkJPc/RwkyP4J4dq3eXSZLys0Kvp++fPkTd8jJ0/lhfU/Nak0yHQ5X1+vfKPabXZ0cS/nns7E3dU41vCgAAAAAAgBQIn+RCevD3Mgi3/XB1xDp3C5o8t7XwxJW/Ld4ZsU9BtnnQw9/nIRmlo3569vHqkuPQzWcfLyk0W8Msu0aS/vLJTnm9Xv1xwTZ9vOWQ8VnqzP07ohleUqDfXTZOg7vnJfS8QE+P5l3jZt9v4UG0W88Zrk9vn6GBXX2BM7NMj8ueWqr/99IaPTb/i2aNo72oCCvtNerOd9poJJ0D3xQAAAAAAABJdrS6QSc/+L7ufm1DWw8FYYLvUA+2+2hNxLp4SkSlqxc/3RXyeOvBqoh9ojUTjxaMaI4bzhyqlXfM1JDGSfngvhz+Ph/hLBbplVV79eBbm/Stp5dHLW911dSBSRtnZ+PvvfHh5oPNer5ZPNAsc8hisSg7w7ferKeF/7p8c92+iG0dyaHK+oh1dU63ymucIeu8Xq9W7TrW6Zu+txRBDwAAAAAAgCR7dslOHaio1zOLdrb1UBAmuE+HJ2jm1qy8TnvN9Phg0wHN3xg6mW3Wb+FgReRErCS5kvxzW4MCTXab1Qg8RQuueL3S3H+tMR4HyluFBqwun9Q/qePsTLYcqJQkvbV+f0iZsXgdq2mIWLev3LxHTLbD95kzK2/VWZTXRr5e4+55T2PveVd7y3yv29HqBj02f4su+v1iXfu3Fa09xA6FoAcAAAAAAAA6jeBMj+BMh44U9Hhj7f6IddkZoY3IK+qc2tw48R0u1T+30cw8SqZJRV3o3e/RMj2KczNSMLrOYeeRQGZTcxqMmwV0g48ZrEdBliTpjXX7QgKNwTp6v5YGkzJi/tf9rcYsl5PufU+/fX+LJGnJ9iOtN7gOqGNfTQAAAAAAACnk8Xj1+trSiNJIFrW8FwJSwx4U9AgOdNSZlFpqr+Wt6lyRk9hZ9tCgx+zHFrbWcCL4gxf1QeMMDkZZw3qJ+IMw+VmOkPVdcgh6JIPTHXqdr95dpjP/7yN9uvNoUo4/YWAXY9nfpP6Xb2/S1X/91FifGXZ9djSxSsbd98ZGLdp6OPI5UYKCaBpBDwAAAAAAgGZ6Z8N+3fjcKp368IdGuRhJitI2AmkgOJARnFFgdrd7e830sJtcgA3u0J+vtLyutYYTwd/Xw59p4/V6Q17r8NJJ1Y39DbIdoRPjVj5ozfbIV08wlj/78ljItgufWKQdh6v1tSeXJHTM75022HR919xMY/mx+V/I6/XqDx9t0/ubAiXYwrN4OhpnEwGMb/55Wcjj70wZEFHODfHr2FcTAAAAAABACq3aXWYs3/jcKmM5+EZ1bzvNFuiogu9qf+rj7cayWXmr9prp4XJHjru6PnYJo6lDu6ZqOBEyHaFBj7KwZs7hDa8rG4MeHX1ivDV9bUI/Y/maZ5PTP2JsvyLT9cFZPAcq6rV0e2QGyZqg79KOKFamh5lZo0pksRD0aC6+KQAAAAAAAJopI6gO/ZHqwN3pwZNViU52IbWcQe/Hur0VqnO6dcNzn+mfy3ZF7Nte3zqnycD92RJm7rlglP7va2NTOaQQ/s+Nv3zPuHvfi7l/ZWNGTnDfh++dbp5VgJbZuK+i2c+tqHU2vZOkDzcfNF2/fEdyymmlo0RLVUULICE+BD0AAAAAAACayR5UfuRwVb1Ky2olhWZ6mPWKQNtxBZVRmjG8h77395V6Y+0+033ba3krs3FXN0QPenx7ykD1KsxWfpY9lcMyZDT2b4h3IrjKn+lhs+i1G6fp+jOG6EfTh6VsfJ1Rg8ujz0srdM5vPo5r/96FvubkwRXGBnXLjbr/uWN6GcvRPm+b9jc/4JLuEg1+52W2zmexoyLoAQAAAAAA0EzhvRO++edl+sNH2/Tw25uNdfUmZZPQNjye0N4RPQuytOCLQyH7nDqsW2D/dlreymkW9GiivJUk/eLckZKkO84dkfQxBfMnbLjjfH0r6wLlrcb0LdTPZg9XTgaTwi310c1nGMu1DW79ZdGOkO19irKjPtcfPPzTtybotOO669Zzhmvy4Ogl0vwlzSRpb2NwOFxBWKP6YOv2lOvPH29vt4HIeAN8/Yqz9dkvZqZ4NB0f3w4AAAAAAADN9PLKPSGPczNt+uXbm0LWldU61aMgqzWHhSicntCJx1v+vTZin6+O76vDVQ3auK+i3U6wBpeyunRCX/1rxZ6I8la5GTZVN7h1XM88Y93XJvTVGcd3T/n1arP6JsDdJr1HzPiDHsHlrdByA7vlKtthU63TrU93Ho34PosWnJACAcG+xdl69ruTmjxXrICGnyvK5+1YdYO+8vgnknz9X24++/gmj5VugkvO3XfhaN3x3/Wm+73yg6kqzs1orWF1WHxTAAAAAAAANNPOIzUhjw9V1kfs8876/a01HDTBrMF3uD3HahPOREg3/t4Kj35trM47obckqTqsOXhhtm8SOriXh8ViaZUAnb8q3DXPrtD6veXG+lvPGW66/9HGfjk0Mk++Ljm+6yBaM/NoGQr+gKAtzmbbc4LKW0Wz7VCV6fqPvgj0AHn8w61xnS/d+F/Hi0/qoytOHqAh3X2lwH4aFMDpVZilbnmZbTK+joZvCgAAAAAAgCQxK9vetzh6iRi0LrMG3+G652caE7medprpUd4Y9Di+JF+5mb7+GeGZHv4fzRrnpHUy2a2BKcmbX1qjngW+id5Th3XTozEaqpPpkXxdmsgqqKo37wXjz8qwWeO7fiYNKo6aEZLt8F2jB8rrTLfXhAXswq/l9sAf9MhovIZf+v4pevG6k/WdUwYa+3x36qC2GFqHxDcFAAAAAABAM3hNsgAOV0VmesRbyx2p54wj0+Os4T1kbZzIjVZuJ91V1PmCHoXZDuU2NkSuCWtk7s9iaYugR1DMQ5v2VxoZOHarVUU50csgkemRfF1yYgc9Xvx0t+l6T4JBD0k67bju2vnQuZo/97SQ9QO65kiS/rNqr+n3aniZuS8OVMZ9znThD7j6r+Hi3AxNHtxVeZl2I+tq/MAubTa+joZvCgAAAAAAgGaIt99D+F3KaDsuT9MBKIfV2i4zPf7fv9Zo9q8XqrLOqTqn7+csyHYot7Hhd/gd+82ZtE6W8HMeaSxf5c9K8Tt5cHHI43H9ilI6rs7IYYv9/m89aF5yqiVBs6E98nXHuSOMxyN7FxjLFXWRWRzhZek87bDsXH1j0MMsW+m9uafpxetO1kn9CXokC0EPAAAAAACAZoi33wNBj/ThdDX9njnsFiPTo7309HC5Pfr3Z3u0aX+lFnxxSJJksUj5mXYj06PO6QkJ1CVaniiZbFbzKck+RdnqV5xjPP771ZON5eEl+SpqIisBidtQWhGxbvrwHsZySaF5jwn/tWRvImgSzf6gUlaXT+pvLJuVrgoPMNc721/2nP+7xyxbqUd+liYP7traQ+rQCHoAAAAAAAA0Q3DSQL8YfTtqCXqkjcp6Z5P72IMyPeLN5mlrByoDZdUe/8DX6Dk/0y6r1aKcjED2xPX/WGmUD6p3+a7LzDYoGRVtntxisei4nvl6+ftT9NkvZobcFV/cRO8JNE94ObFnrpqop6+cqG+dPMD3eNHOiOds3l9plIqLt5F5uOqgcmvd8jKNhupfHKjUkbAygeFl5urbYcnABrfv85ZBX5pWwasMAAAAAADQDMFZAH//7uSo+1U3tL+mux1VlUnpHEnKDQoMOGwWI/uhvZTR2XO0xljetN/X76CwcRI5OKjx7ucHtHDLYXm9XqPXTJsEPaJkevhNGFhsBDle/v4UnTW8h+67cHRrDK3TCS8dNbR7niSpzumbpK9pcMvlDg0y3Pm/9caytZmZQnmNGUiSlOWw6ViNLyB55TOfavx980P2dYeVpTvaWA6tPTEamdOXplXwKgMAAAAAADRDcBZApiP6FAuZHunj1TWlpuuzg4IeFktQeat2ckP5nmO1EevyM31BD0vYnfi7jlTL5fHKf/lm2m3hT025RG52nzCwWH+5cqIGN07GI7kawi7yPkW+rLXgDKGy2kCG1I7D1Vq6/ajx2N7MoMe1pw02lksKsyK2B/fTWbztSMi2+974vFnnbEv+zBgyPVoHrzIAAAAAAEAzBE/KZTuiTxxvPlDZGsNBHJ5btst0/RnH99AFJ/bWvPNGSgqUX2ovjcz3lUcGPbKCAnEn9C00lr0K7TOTldH604N2k0yP4GwbtJ7/+9pYY3nFHTOMgN+EgYEm8pVBGVJXPrM85PnNzfTokZ+lL+47RzsenGO63Z+xJEUGPfxZIe2JP9OjqcbxSA6CHgAAAABaxfq95Xp2yc52M4EEAE0JLm+VFSPosWpXWSuMBvG4bFI/SdKkQcUR237zjXH67rRBkgLNvdtLI/NaZ2Q2UXCD8rV7ykO2/eGjbcZyW2R6rNlTFvLYZrXo5etPafVxQDp5cFdtvm+2dj50rrrlBZqWn3dCL2O5si4QZPjySE3I85vb00PylXoKz0Tym/PbjyPWBZdiW7O7TOvCruvWsHjrYe08XJ3w8/wZNRlt8HnrjAh6AAAAAGgV5/3uE817dYP+F6W0CAC0N/4grsUSO+iB9OGPYZw6tJueuXJixHo/aztrZL55f2Q2kTXKZPLqXWV6csE2022tJbgc15o7Z+nze87WiF4FbTiizs0s8GWxWHR8z3xJUlmMzApbMzM9wv3zmsi+SPM/P6A9x2o0fkAXSdKvLj3R2HbBE4v0lcc/MXqPtIYNpeW6/M/LdMb/faQDFXUJPZeeHq2LVxkAAABAq1q3t/XvygOAVPBnAfjvdH73J6e15XAQh6p6X5me3Ey7zhzeQ2P6FMpika44uX/Ifv6J3F1Ha/SnhdtUVpPejZPnbzwYsS5auOY/q/amdjAJctgsbZJtgqYN6pYrSdq4ryLqPo4k9agY1Tsy6HXNsys07ZcfauWXxyT5Mj2Cs1Gk0NJbqfb2+v3G8h3/XR9jz0iUt2pd9rYeAAAAAIDOxdleusICQBP8WQD+mvZDojRazs9i+iVd+HtZ5Gb6Jtmfv+5k1dS71KMgtJGy/z3908LtkiSXx6sfnDG0FUfactX1rTcZ3BLJmjRH8p3Yv0hvb9iv1bvLTLdfcXL/pGV65GY2/T1pt1nU4ArN7Hhu2S79aMawpIyhKb/7YKuxvCbKaxKN/9+/mWR6tApeZQAAAACtyn+nGwC0d/6SSP5Mj2iTf3zvpY/gTA9Jysu0RwQ8pMg+BZ+XRr/Tva15o/Qd2RDHmM1KCrU2e5ImzZF8J/YrkiS9tX6/PtlyOGL7jBE9k3au4OBXtGwIm9WiirDMjsfmf5G0MSTClWDpO39PD4J8rYNXGQAAAECrai/10QGgKf7vs6budE50cgypU9PQGPTIiH1Xefh7ms7ll5zu5l9ffbtkJ3EkzTtvtEbWaHtj+hQay1c8vSxie6om8C85qa/p+up68/4dA299Q0eq6lMylmDDS/KN5X5xfHZ2H60xMq7o6dG6En6VFy5cqK985Svq3bu3LBaL/vvf/4Zs93q9mjdvnnr16qXs7GzNmDFDW7ZsSdZ4AQAAALRzzP0B6Cj8PT2ixTye/s4E33588aWNL4/USGq6lE74PHymI30nKltSNrIw25HEkcTv+WtPbpPzIjHhn5P1e8tDsjCOVCe3182Cn56hf31vii6d2M90+5QhXSP67/iNv2++Dqc48BGctWf2rR7cVP39jQd02iMf6rt//dT33MbPaQaZHq0i4Ve5urpaY8eO1RNPPGG6/eGHH9Zvf/tbPfnkk1q2bJlyc3N19tlnq64usY72AAAAADqmaGU4AKC98Zhkepw/trck6bGvj9W4/l2M9X/4aFvrDg4RXG6P0fS4qeyc8PJWrjTuRxUc9LjutMFxP89qkQqy2ibo0a84R/++/hTNn3t6m5wfzbNxX0VIZtG4xvJXyTKga64mDSoOyTCRfAHknQ+dq8Jsh4pzMqI+f8J987X1YFVSxxSsPijocaTKF/BZtv2Ipv3yA130+0Uafec7+nTnUUnSHxdul9crLdvhe2w0MifTo1Uk/Cqfc845uu+++3TRRRdFbPN6vfr1r3+tO+64QxdccIFOOOEEPfvssyotLY3ICAEAAADQOXkIegDoIPyZHsET6I9eOlbz556mC0/sE7L+l29vavXxIVRwL4CBXXNi7msNC3qkc1+WhqCgx89mDzeW87MCd+l/fYLvzvkfBzV8ttusRsP2tjB+QBcN7ZHXZudHfPzXjiSV1TiN5ddvmqZ+xbE/R83lsFm17YE52njPbO186FxND+odcs1pg5Xt8JWbu+PcERHPnfGrBSkZkxQaYNxbVqvSslpd87cV2nOsVqt2lcnl8erml9bI7fGGZH3UNLiM55Lp0Tpi5/IlaMeOHdq/f79mzJhhrCssLNTkyZO1ZMkSfeMb34h4Tn19verrA6lHFRW+JktOp1NOpzNif7QN/3vBe4J0w7WJdMW1iXTFtYl04PZ4Iq5Brk2kK65NxFLf4LsurBZLyDUyoEuWXC6XPO7QhrvJvI64NhNXWROoQlKQaW3itQsN0FfXu9L2ta6t891xnmm3yuN26f/NGKpH52/Vb75+gjHmu78yXN+Z0k9Du+fq1/N9Zeid7sjfx8nC9dlx3HDGIL24Yrck6UhV4DPUpzAj5e+v3SI5naEBx2ybtHbedEm+DKy31+9T97xMvbXhgLFPfX1D1IBec6/NvWW1OlgZWj7rlIc+iNjvyyM1uuDxT7TraI2x7nBFrRE4tXpT97nr6BJ53SzeFuSWWywWvfLKK7rwwgslSYsXL9bUqVNVWlqqXr16GftdeumlslgsevHFFyOOcdddd+nuu++OWP/cc88pJyc10UIAAAAAre9HS3z3XJ3U1aPvHJe+d8wCQLx2V0n/t86uogyv7h4f2WC3wS39dHngftNuWV5dMdStQfkRu6IVHKiVHlhtV47NqwcnmTdE9vvXdqsWHQi9I3tid4+uGJp+v78O1kr3r7Yry+bVLxt/rga3lBGl97r/97Ek/WaKy3wnIMj/vrTq/VKrpvTwaMlB3+fikUmuqNdYW/jzJqvWHfON7YEJLuUmULltZ6X09602XTjAozHFkVPlXq/046XNzx24baxLv1pvU73bojtOdKl70z3QYaKmpkaXX365ysvLVVBQEHPfpGZ6NMdtt92muXPnGo8rKirUr18/zZo1q8nBo/U4nU699957mjlzphyOtqn3CJjh2kS64tpEuuLaRFv60ZJ3JUklvXppzpyxIdu4NpGuuDYRy5o95dK6ZcrNydacOadFbG9wefTT5fONx4frLPrj5gytnTcjYt9EcW0mbtP+Smn1EuVkZ2rOnDNi7vvp6xu16MDu0HWHrPrT92Yor4km6K1ty4EqafViZWdmaM6cM5vc3//7WJLmzJmTkjFxfXYsuxZs1/ulW5XfrUQ6eFCSNOec2cpIo/4Uc+ZIw+98T26PV6efNV098jNN9zO7Ns9/YokO11Xqz5tt2nLvrJD95288qD8s2C6pwlg3sGuOdh6pUbxeP1wsjyoleTVrxlnqVZiV8M+HQIWoeCT1W7qkpESSdODAgZBMjwMHDujEE080fU5mZqYyMyMvQofDwZdiGuJ9Qbri2kS64tpEuuLaRGurbQjcUVte54p6/XFtIl1xbcKMxeq7zdlmtZpeH1Zb5B3DtU5PUq8lrs0EWHzvl8Nm/n4Fs9vMb2HfuL9apwztlvShtYTH4pt4zrA3/XMF65GfmfJrh+uzYyjK803Sl9UGMoOyMzPatCeMGbvVIrfHK6+l6c9C8LXp8Yau9ztSVa/rn1sd8dy/Xz1Zpz78YdzjWrc3MFmfnZnBZ6KZEnndkhqOGzRokEpKSvT+++8b6yoqKrRs2TJNmTIlmacCAAAA0I7sORa4G85BA0cAHYTHpJF5sDSbD+z0nB5faSq7rek3xhOlGvzlf16mOqdbTrdHH2w6oI+3HErqGJvD3yA53t+vr980Td+Y2E+v3zQtlcNCB5KX6QsCVtQGeiqkW8BDCjQJf+SdzTrnNx+rvDa+HhBdTGphldU0aM+x2oj1t8w+Xv2Kc/ThzWc0a4zplinWUSX8KldVVWnr1q3G4x07dmj16tUqLi5W//799eMf/1j33Xefhg0bpkGDBukXv/iFevfubfT9AAAAAND57CkL/NH40ea2nyACgGRwN94eHG3uz2Kx6Pie+dp8oLIVR4Vo/O+X3dp0cKCmIXrPjwff3Ki/LfnSePzFfee0aZkfp9v3c2XEGfQY3adQD11yQiqHhA4mN8M3hRzeyDvdOOxWqV56dXWpJOmlFbt1zamDm3xel5wMY/mlFbv18ZbD+t+a0oj9fnr28freaUMkSYO65er+i0br9lfWG9sfuGiMnlywzWhiHl4Gq19xtrLTqRFKB5bwN/KKFSs0btw4jRs3TpI0d+5cjRs3TvPmzZMk3XLLLbrpppt03XXXaeLEiaqqqtLbb7+trCxqlQEAAACd1aGK0D+S95fXtdFIACB5PJ7YmR6SdMd5I1prOJB0qLJeD721SeU1oXd4O90eIyPCHscd6jUNgTI+4RkRwQEPSapzxW6KnmqJZnoAifJnJxytbmjjkcQWPj6XxzxjK1yX3EDQ46cvrzUNeEjSDWcODfm+/+bkAVp/99m68ysjdcbx3XXRuD568orxxvYHLw4NLg7ulhfXeNByCWd6nHHGGfJGSfGTfHcx3HPPPbrnnntaNDAAAAAAHUf4H50NLk/EPodqpfvf3KTrzxymngXcNAUg/bm9/kyP6JPothjbkFy1DW5NvN/XOP7JBdu086FzJUmvrt6rn768VpdO6CtJsscRHMi0B+7GHt2nUA6bxcioCFfndKsgq+1q9Dc0Bj3Sqak0OpbcdlqSKd4KXPFmSZnJy7TrqqmDdNXUQZKkkb0LjO8eSRpekq9N+33ZftGaqyP5+DYEAAAAkHLRaqMHe/oLm/66ZJeufXZFK4wIAFrOHUemh4WgR6v56+Kdput/9MJqNbg8+sfSXZIkRxw9Pb46vq965Gfq4a/67tQe2asg6r71zshAfmuqd/oyTQh6IFXCgx7PXTu5jUYS270XjAp5/O6GA3E9zx1HRsjz157crDF1Dwp0TBjYpVnHQOL4NgQAAACQcuHZ4i5P5ATRvhrfJNTaPeWtMiYAaKmmGplLNDNvTcdqQkvbbDtUpT3HaiL2iydIMXVoNy2/fYYundBPkvSbb4yLum+ds+3KW9U53fr+Pz6TJK388libjQMdW3jz7Xj64rSFkb1Dg5MrvjymxVsPN/m8pspgHd8zX1OGdG3WmIID3xef1LdZx0Di0vMKBQAAANChhN9BZ1YiJNsWX91lAEgXjVWFYpa3shL1aDXhwafpjy7QHf9dH7FfcxrLD+yWq1OHdTPdVpvEoMf2Q1XaejD+8T39yY6knRuIpktuaPm24J436eSk/l1051dG6sITexvrLv/zsiaf5za5Geebk/sby835zvB78OIxGtuvSL/5xon03WlFvNIAAAAAUi78Bjp/09VgmbaIVQCQ1uIpb0XMo/WYNSj/aPOhpB0/22H+i6ouSeWtXG6Pznp0gWb8aqGq6+ObVF6y7UhSzg3Ekmm3hVz/8ZSDagsWi0VXTR2km88+PmR9bUPswKQ/02Ng1xxj3b0XjE7KmPoUZevVG6bqghP7JOV4iE/77EIDAAAAoF0J7+lRb9LIPI62HwCQVozyVrEyPejp0WpiBZ+SITvDPOjhMgnkN0dNUMbIocr6JptHP/HhVn0SVLpn3nkjkzIOwExJYZZ2HK6WlP4ZbH275Cgv066qxuDhnmM1GtYzP+r+nsagxxUnD1BVvUv5WY6Qn3HGiJ6pHTCSjkwPAAAAACkXHtAwy/Qg5gGgvfHf7RyrvL1Z0CO8zxGSI1kZF9HkRAt6JOmu9382NlqXpEXbmu5DsCisV0G08ltAMnTJCZS4OnVo+l9rz1w10VjeerAq5r6uoKy9H884TldPGxSyPdPBFHp7wzsGAAAAIOXCMz3Mgh6pnaoCgORraMxay7BHr89nFvR4acWelI2ps/F6vfr+31fqpRW7VRtnn4EnLj+pWefKilLe6o21+3TDc58Zd5UnwuPx6qpnluvnr6zTs0t2Gutvf2V9zBJCXq9X6/aUh6zLz3JE2RtoubkzfSWjpgzuKns76E0xcWCxLpvk68uxJuyzEs7/WQsvkfe18b7G4zecMTQFI0QqUd4KAAAAQMrtK68LeVxVFzkxxI3PANqb6sZJ9rwYTYlyTbbd8u+1unRiv5SNqzN5+J3NenvDfr29Yb/OGV1ius/EgV306c5jkqQ7zh2hc0/o1axzRcv0eHHFbknScT3y9aMZwxI65tZDVfowSt+RfeW16tslx3Tba2v3qTIsyJKfxTQfUmfasG5644fTol6T6Whs30I9v1xavzd20COQ6REazPnlJSfojnNHqjCHgGJ7k/5hOQAAAADt2r8+3a2/Lt4Zsm7X0ZqI/Yh5AGhvqut9PRhyMqJPNvfpkt1aw+mU/vDRNmP5rfX7JUm/u2yc5owJBEDOP7GP1t41S89fe7K+O3VQxDHiFa2Rud+hqrqY283EyuZ4Z8OBqKXQ/rhgW8S6aEEZIFlG9S5UYXb7CQD0KvJ9/x6pboi5n9sIeoSut1otBDzaKYIeAAAAAFJm0/4K3fLvtRHrdx4xCXoQ9QDQztQ0ZnrkxphszoxS+ipZza87s/mfHzBdn5dl12NfP9F4nOOwqSDLoSlDuraoAbO/nFk0i7cdSfiYNTFKct37+ue68blVptumBvVUePiSE/TkFeNlMSmlBnRm/uynyjpn1H3qnG6j50e0EnZof8h7AwAAAJAyV/91hel6s7rnxDwAtDdGpkdm7OmVnAybahrcIevqXZ52URc/nV3zrPnvmNwMuzKCXttY2RSJqAsLegzpnqtth6qNx9sPVetIVb265mXGfUz/NRTNG+v26QmT9f4MkO+dPphSaUAUBY1Bj4rayKBHg8uju99Yp38s3SVJ6p6fqTOO79Gq40Pq8NsVAAAAQMrsLas1XX+gIrIESJLmpACg1VTXN53pIUnjB3SJWFffRNYAYnPGyJTJzbSFZD10L4g/CBHLlMFdQx7bTLJGwntYNWX5jqPNGosrSuNlAAGF2RmSpIo6l3Yerg7Z9vSinUbAQ5LuOX9UuyrdhdgIegAAAABodWaTPMExj9IowRIAaA31LnfMskN+/kbmsXp6SOaZBvWu2Hf4I7a1e8qibstrzLx5/tqTdcvs43X6sO5JOeeZw0PvAj/T5K7wsproZXTMPP7h1ib3WbztsOqcodeLO0rjZQAB3fMzdULfQknSOxv2h2xbvvNYyOPZo0uEjoNvRgAAAAApEat+spngnh6vrNqb5NEAQPyu/MunmnDffB2qrI+53+tr90kKTLJH43KbBD2cZHq0xJ3/2xB1mz8INWVIV/3gjKEt6uMRyy2zh0esq0jwd5+Zc8ImXy9/apkeeWdzyDqnm0wPIB5dcnzZHi+v3KMGl0fljaWuwj859MTpWAh6AAAAAEiJLw5UJbR/8JRgvZM7oAG0jV1HarRk+xHVNLhjZhME33lf30RTcpcncjvlrVpm/d6KqNuaCkK1RHCQIbi8VUlBliRp+6H4fvd5vV6jL0e43kXZEeue/mSHsbz1YJWeX74rYgwAIvmzorYcrNL5j3+iCQ98qLJ6hQRDzUoQon0j6AEAAACgRTwer15bU6rdR2tC1n9xoDKh4wTP/bijTAQBQKot3HLIWI5142+5SWPcaPxlkIpzM9S70Dc5nkh5q2iT453ZWcPNGw5bLVKWI3XTXRn20GO/ftM0PfXtCZoyxNfv4/nlu5s8xq/e+0KDbntTg25703T7hCgTsAcrff1CZj62wFiX00Q/GaCz+9aUAcbypv2+f5u++qVVC744bKw/XBU7qw/tD0EPAAAAAC3yyqq9uun5VTr14Q9D1m8xyfQY0avAWN59tEa/enez8YemJ6jQQBM3TQNAylTVB3p51DRED0wEBz3OH9s75jG/d/oQPfq1sXrzh6cq0+GbpH7knc363ftbmhzPi5/u0on3vKfPdh1rct/OxP8bw59h4ZebYU9pmZp7LxgtSfrBGUMkSaP7FGrmyJ6aNbKnpPhKO/62iffd45Ue/uoJEeu/85dPJYXeJEDQA4ite35mxLrPjoROiRdk0cC8oyHoAQAAAKBFlm4/Yizf9Pwq7Triy/ioro9sAvzzOYH651c+s1y//WCrfvzC6oj98rNSV5oEAGJxBpWdihb08Hq92nm4WpLUvzhHhdmxJ8wy7FZdMr6vSgqzlNmYKfDxlsN69L0vdLS6IeZzf/bvdSqvdeonL65O4Kfo+FyNJWtuPvt4zZ15nLG+S25GSs97yfi+Wn77dP307OND1o9pbJZcUedSbYxgWTz2ltXo0gn91KswNKCzcV+FGsLKosUKzAGQhpfkN7nPpRP7tcJI0JoIegAAAABokeAbal9bU6rLnloqSWowSdcY1z9QsmPbId+E4SdbDxv1lv1SWY8dAGJxBn13RZu8fuSdzbru7yslSUU5id0hnBlWHulInGVVaHweyv97w261yGELvKbRyl4lU4/8rIhskkx7IOPixHveDbmOEuVvUj60R17Etp1HqkMezxjRs9nnATqDnIzY/6a8aupAXTG5fyuNBq2FoAcAAACAFvnXij0hj/eW1UqKDHo8d+3kkAawwV5fuy/kcUsmiwCguV5euUe//WCr8fjO/23QnmM1Efv9/qNtxnK2I7HyQsGT45JUaZIVZ8Yr+noE8wc9rFaLHLa2b0icGdRHpN7liZrBE09/Fldj0OPik/pEbAvunzV9eA/1K85JdKhAp3PHuSOibrv21MEpLYmHtkHQAwAAAECzxZq88ZeIuffC0drx4BydMqRb1KDHzf9eH/LYLEsEAFJp68FK3fzSmoj1f1/yZcznJVpeaPnOoyGPb3l5bVzPO1BRH3dWSGcQnOkR3Fy8fxsFAcIzeA5U1JnuV+uMvF56FoT2HLA3BnHOH9tHF5/UR+P6Fxnb/DcWSNLMkWR5APG45tTBpusvOalvRBk5dAwEPQAAAAA0W3hZqmD+wEWm3WrcQWeLEvQI53RxRzOA1lPT4NKMXy003fbOhv0hjz1h33tZjpZNrWw9WBX3vuPvm6+5L67WXf/boGG/eFdHO3EMxOXx/Y6xWixGZoTUdkGPDFvodXD+44tM96uqi8zsCc/++daUAZJ8vzN/demJeuUHUzWssdTV4apABsmF4yIzQQCY+/mc4RrTp1Cf3namHjvZpS33ztKjl44ly6ODolAuAAAAgGZzx8j08N/9nJMRmMyJ9w9L/2QWALSGvcdqo24L/94qq3WGPN4T47nx6JaX2fROQf6zaq+xfPdndl1xUYtO3275+15k2C06UBnIqki0x0qymP1+q6xzKj8rdDxmmYy7gkpWFWY7VJAV+TNkN/4uLa/xBT1G9S5QVoKl1YDO7LrThui604bI6XQqzntw0I6R6QEAAACg2aJleng8Xi3f4SvhEhz0iNfvPtiqyjpn0zsCQBIkUqIqvMSUNcG7hAuzQye060zKHaFp/t5Pdqs1JDuwLe/aDm+iblbiKlaGpKSok7FZjdkgx2p8vxsT7SUDAJ0JQQ8AAAAAzRZt8uYXrwZ6dASXHUnEmLveDWnYCgCpEivoEd67qCqs8filE/oldK4LTuwdcTxXlD5G8TS97qxcjb9/HDarrj1tkEb0KtC9F45u0zE9/Z0Jmjgw0Eh98/7I0mX+35sZYT1AvtNY0urWc4abHjur8QYCfzk0sjwAIDqCHgAAAACaLVrQ45/LdhnL8fbxMPPSyj3Nfi4AxKvWGdlnIRpX0PfemD6FumrawITO9bXxviDJ+AGByfHwQIqfs4mgcbeszhsU8Wd6OGwW9SrM1ls/OlXfOnlAm47JYrHoN98YZzy+4bnPIvbxNAaysh029cgPlDa76/xRWnzrWfr6xP6mx85u7B3z+b4KSdInWw8nbdwA0NEQ9AAAAADQbK4mynRIUm5maCvBu88fFffxX1i+Sx9uPpjwuAAgEbUN0fsIhQce/JPtQ3vk6bWbppn2X4hlTN9CLb1tul647mRlNt7tHz3oERhXr8KsiO2H6yw6VNk5u5n7swgdtvSa2updlK2T+hdF3e5/S21Wi2aM7Gmst1gs6l2UHfV5ZHYAQPzS6zcDAAAAgHbFE0fQY/Kg4pDHiUxQHays11XPfJrwuAAgETUN0TM9juuZF/I4GZPtJYVZctisymsMCscT9OjXJcd0n3+t3Gu6vqPzNwS329KvI/HNs46XFHntSIEMSavFojvOHaFrTx2kV2+Y2uQxw3t4XDV1YMsHCgAdFEEPAAAAAM3WVKbH4O65EU1ldxyOrHEuSdePcOus47snbWwAEC+zZuK3zPZNXB+oCM2kcHkCZZVayh84idb7KDjLJNrkvr0FJQTbM38flIw0y/SQAhmOVXWRwSx/eSubVcrJsOv2c0dqbL+iJo8Znulx1SmDWj5QAOig0u83AwAAAIB2I1pPD7+cjMhyHHvLak337ZfrVbS5O5r5AkglswBufuPE9ef7KrR0+xFjvT8QkYxggz+Q8dUnF+uDTQcitjuDJvatFvPzRVmdVNVRMlHakvE+pGHQIy8rNINn8/5K/eTF1Xpm0Q7jWrMl+MZlh/0+taVhhgsApIv0+80AAAAAoN0ILr1ixuzu5aKcDNN9s+2SNcokYhxVtACg2cwCuMGBkOueXRFYn8TJdn+mR53To+/+dUXE9sC5Ir8bJw/yNUI3yyZIpicXbNPou96Ju7/SvvJaPb98l25+aU1IsCjZghuZp5vgsmVer1fXPPupXlm1V3e/9rkWNTYgj/b7LprhJfkhjx2dNMMHAOJB0AMAAABAs/1rxZ6IdUU5gaa+m/ZXRmyPlrRhtSjqncz+cjIAkAoeky+m4G+jCQMDvYm2H/KV6Gtwtfx7ydbExHWDMbFv1YhegUnvFXfMMJplR+sHkiwPvbVJXq/0s5fXxrX/jEcX6Lb/rNPLK/foG39aGnW/pduP6I8LthllqhLlDHpt0o0/6OHx+gJau48GMhwfeWezJBlN7OM1M6jpudT0tQMAnZm9rQcAAAAAoP2avzGyHEthtkNlNc6oz4k10RNtDsfl9iqTv14ApIhZeavgfkQfbPJlOfx6/hf69fwtkqTVu8tafN6mSmT5AxoOm0XXnTZEJYXZmjOmRN3yMpXfWEJp26HqFo8jHgcr67V462GdMrRb1H08Hq+qG0L7o3i93ojeTpJ07bMrVFnn0o7D1dpXXqeZI3vqipMHxDWWI1X1RgZgXhr+csjJsMli8QX5K+vNfx/2yM9K8JihP2c6lvUCgHTBNyQAAACAhNS7AhNaZndHB2drBGd9+N1w5tCox54xoofp+qYapgNAS7jDSvH17ZIdsc/AW98wAh7JEitLYeO+Cl34xCJjv+75mbp62iD1KvSNLbdxEnzx9qOmjdhT4fI/L9OfP94edXtFXeQE/+Gqhoh1r60pVWVjWa4XPt2tBV8c0h3/XR/XGLxer+a9ukGSNLhbrtE0PJ1YLBblNb4/FbXmQY+C7MTHfce5IwLPz0q/nxsA0gVBDwAAAABxu/PV9Zpw33xt2l8hSTpcWR+xz+nHdTeWT+rfJWJ79/zMqMc/b0yJ6frmlj8BgHiEB1bnzz09auZZMsUqUfTou5uNZbOeHsF9SGJl17WE1ySwfd8bG3XI5LtfknYeqYlYt62xHJj/eHVOt256flWzx/TOhgN6Y90+SZHNvdOJPxiz+1it6fa8zMibAppy1dRB+ur4vvp/M48zzZ4BAPgQ9AAAAAAQt78t+VKVdS7d9NwqeTxeVZg00P3Z7OHG8jmjzYMY4SYMKJLkuzu2S1B2iH8+0KzJMAAkS/h3TJbDpu4Jlh9qjlhNuOdvDDQOD+4J4VfnSn12x5Iojcg/2XrIdP2xal9Wx6jeBZrU2AflSFCmx1efXKLhv3i7RWPaUFpuLBfnZrToWKmU15iJES1AlN+MTA2b1aL/+9pY3TR9WIvGBgAdHUEPAAAAAAkrq3WqPkoT3+wMmz77xUw9+91JuuSkvjGP07MgU89cOVF/umKcsW7OmF7Gsr9mOeWtAKSS0xP5fTZjRA9de+qgqM85ZUjXFp/Xbg2dlvFnVryyak+Tz51+fKAcoMtk/C312a5juvypZcbjTffO1sUn9ZEklZbVGetXfnlU3/7Lcu06UmOUqCrOzTAm/Rd+4QuQfHmkWiu/PGY8b1C3XO186Fy995PTjHX/XbVXy0wCLR6PV5v3V8rj8ervS7801j966dhk/KgpsfuoL+vlo80HTbc3J+gBAIgP37AAAAAAEub1Sm6Tsic3neXr11Gcm6HTgspcxXLm8B5yOs1Ls9itFjXI18gcAFIlvKeH5Au63n7uSD318Q5j3dcn9NOLK3ZLkm4P6q/QXOFlq+qcHmVn2PSTF9c0+dzB3XON5VRkw726am/I4wybVdWNjdUfeWezhpfky+Xx6nt/XylJOu2RD419LRaLBnTNkSS9uGK38ZoFe/7akyVJw3rmG+t+/OJqSdKdXxmpq6YGAk6//WBLRD+VT2+fEbNcYlvz3xjw5rr9ptt7F0X2jQEAJAeZHgAAAACawRsySdirMEub7p2t/zfr+ISOYhbMCF5jb6xvlYq7mAHALzib7NIJoRlq91042lg+viQwQZ/fjJ4M4exhPT1eW1varOMsjVKGqiX+tuTLkMdWq0XZjkAPjav/tsIIeIS75ezj9bXx/Uy3/XjGMO186FyVFAbKh80J6+d092ufa8uBSklSg8tj2kA+nQMe0QzqFghU9SHoAQApQ9ADAAAAQMK83tBAhEW+GviJ6lEQu2Z+Zytv9eySnfr+31eqzhlfrf6tByt12sMf6oXlu1I8MqBj82dKfO/0wfrlJSeEbPvahL6aNbKnLpvUXxMb+1RIySlP5P+O87vl5bX6vLQi4eP8Y2lyvwN+8E/zYMaVU6OX+/L70fRhGt2nUEN65EZsu/KUgfqRST+KR74aWabqK49/ojqnWzuPVMcx4vbhzR+eaiz3L85pw5EAQMdG0AMAAABAwrwKLafSp0tid6y+eN3JOnVYNz1++biIbcFVs2z+TI9OUt5q3qsb9PaG/fr9h1vj2v+e1zdq19Ea3fqfdSkeGdCx+QOreRl2WSyh2ReZdpv+9O0JevDiMRrWM0+9CrM0tl+RinJanulh1sh8zm8/NpavPXWQ5p03Uu8G9b0w0xClx1KwepdbH24+KKc79r7PLdsVUZLp3sZsl9G9C0JKF/pfqtwMm3oVZmnmyJ66/owhknyv239vmCpJmjvzOO186Fzddf6oiNdXknIz7Vp623TNO2+kTupfJMlX6mv4L94OaYTu94dvntTkz9vWvnf64Ih12Rk2zTtvpO44d4QGdosMCgEAkoOeHgAAAAAS5vV6Q7Iv5s5MrKzV5MFdNXlw002AHY1Bj1TUq09n8zce1Nw4SoX5GwRLUp3T3axsGwDSoUpfY26bSRAiWJbDpo9+eoYcVqvp5H2iwhuZh7v57OOVaW/6cx1tKDUNLr2wfLfOHl2ixz/YqueX79IPpw/T3JnHRT3Wc8tDy1rNGNFTX5/gK1Vlt1n17Hcnyev1yun2KsMee/wn9ivSzofObXL8klRSmKXvThukWqdbn+0qM9Zf9tRSSdLgbrl64psn6UhVg6YN6xbXMdvS+P5dQh77g/zfndZ0tgwAoGUIegAAAABIWHimx5QhTQcwmsM/AVnniq/cU0dxqKq+yX32ltWGPN5zrFa5mTYVZjuUk8GfekAi5m88KEn67MuyJveNJwgRr/CeHsEGd8tt8lwWeeWVRZv2V6q2wa3sjND9H357s/66eKfuef1zY91v39+iAcU5OqFvYUgTcUk6Wt2g9XsD5bU+vPmMkD4UxnktFmXYWx70MXPumF565J3NEesHd8/TiF4FKTlnKuRlBr6Hx/Yt1Hkn9G7D0QBA50J5KwAAAADN4u87kYwSL8FOa7yD12a1GHdBf+3JJToSRyCgo3A1UX5GkpbvCG1c/N2/fqopD36g8x9flKphAR3eqN6tPKkeI26Qk9l0cGVC90Dw+eaX10Rsf2fD/oh1kvT/Xlqjq/+2ImTdpv0Vmv7oR8bjG88cahrwSLWB3XK186FzNXNkz5D1XZL8uybVahoCwfqzR5fE2BMAkGwEPQAAAAAkzOuVqhsndHKTnFUwe3SJnrlyohb97KyQki3/XNZ5mnUfq3E2uc9PXgyd4Nx1tEaStPVgVUrGBHRk4xr7SIxs7aBHjMp9J/QtavLpXx0YCJC+sXZfxHaPN/oJdh2tkcvt0T+Xfan1e8s1+9cfh3z3DO7etj0n8jNDf7e0t/J9kwYHmt6fM7pXG44EADofcp4BAAAAJMzj9aq63iUptIRHMlgsFp05vIek+JrzIpLX601KvwGgs/A0luuztfLnJla3oq+N79vk85uKA9Q5Y3+Hvrl+v25/ZX3E+vsvGq2LxvVp8vyplBn2w43pU9hGI2megiyHPr19huqcbvUrzmnr4QBAp0KmBwAAAIBmqWoMesRTgqW5goMeMUrfI0yts3P1QAFayt2YEWFrwy+a1fNmamDXwOT4if2KmnxOtL7rtQ1uPfjmRpXXxs4am//5AdP135w8oM0Dp70Ls4zl126cpq9NaDoIlG6652cS8ACANkCmBwAAAIDEeZWyTI9gDUG9LeJoc4FGVXUumpkDCfB/v7R20MMbVH6qKCdD354y0Gg63pygw9aDVSopzNJPX1qjt9aH9vN46tsTNHNkT9U0uDRy3juSpP+tKY04xv9unJrweVPh6lMHadP+Sp00oIvG9G1fWR4AgLZFpgcAAACAhHkVCHoku6dHsOApP7enc0U9vDFq8UtSboYvw+b2OSMitv1p4XbtOlKTknGhfdpzrKbJa6qz8nq92rivQlIbBD3CHl9x8gD9fM5wvfWjU+M+xr+unWQs7y+v0/X/WBkR8Nhy/zlGY/BoAdHcDJsW3XpWXL1EWkNOhl1PfPMkXT1tUFsPBQDQzhD0AAAAAJAwr9cbaGSewkwPa9Cdzi5P55qwjfXzer1e1TWW/uqSmxGx/c+f7NBpj3yYsrGhffn7kp2a9ssPjQwChFq87YixbG3tnh5hH/MMu1XXnTZEI3rF31B9XP8iZdp90zt1Trc+3nI4ZLvdapHDFjr987vLxoU8vvWc4Vo1b5b6FGUnMHoAANITQQ8AAAAAcfEETcKHZHqksKdHcHkXdycLesRq4u50e43XIz8retCJO/shSQ+8uUmS9MyinW07kDRV7wr0wHG20zp6wxuDJPM3Rvbo+LlJNthXxvbW9gfm6OsT+mn2qBJ9//QhyrAzRQQA6Bj4jQYAAAAgLs6g8lJeb6CReWozPQLLHTXTY+WXx3TN3z7VjsPVcgR1JY4V9KgLmqSNFfQ4Ut0Qse7LI9V64M2NKi2rbeaI0d7Y27A5d3uQn+Uwlo+afGZSKVnfavsaP88vfLo7ZP2J/Yr0nVMGmj7HarXol189QU9+a3ySRgEAQHqgsx0AAACAuARPBmY5rK3SyDy4vr6rnd6B3ZRL/rBYkjR/48GQ9Q0xft46py/oYbHEfv13Ha1Rt7zMkHW/eX+L/vPZXv1p4Xbdd+FoZdqt+tqEfs0dPtoBK0GPmIKz2KaP6NGq505WNtbBynrT9dOGdmv1PiUAALQ1Mj0AAAAAxKW0rM5Y9nil6vrGnh4ZqStvFVzXvqNmekQTK9Oj3unblmm3hvQE+N7pg0P2O1hRp3D/+WyvsXzHf9frpy+vVVlN697djtZFpkds/q+WoT3yQrI+OoKcFJYfBAAgXRH0AAAAABCXfeWBckhuj1cVdU5JqS1v9dDFY4zl/60pTdl52kqs7JU31u2Lus2f6ZHlsKmmIVDqaliP/JD9KmpdIY89UQJH3/jT0ibHivYruDfOmt1lKT1XRZ1TFzz+iZ5csC2l50kmT2Pk0NbKTcxbQ24GBT4AAJ0PQQ8AAAAAcdkXlOnhdHt0uMqXHdA9PzPaU1qsR0GWkUlSWeebwD9YUafnl+9SbdBkf3u180hN1G0PvbUp6ra6xkyPbIdNJ/QtlMNm0cCuORGlcj7ZelgPv73JeK0WbTtserxN+ysTHTraCY/Hq8NVgdJHFzyxSP9dtTfGM1rm70u+1Jo95TGv33TjbgwGtkUZsGTlr/UsMP8eprQZAKAzIugBAAAAIC77yoPLW3nV0NhMO9uR2vIp1WHBjW89vVy3/WedfvP+Fnm9XtU0uKI8M/35MzYStXr3MUm+TI/cTLtWz5ul9+aeLmvYner/W1Oq33+0Tb+e/4Uk6VCUuv/d8jKaNQ6kv+CAh99dr21I2flc7sA0/pYDldoVI7CXLvyZHm0SH0hS1OMvV07USf2L9Py1J2vZz6cb66vq2u/3IwAAzUWeIwAAAIC4hJe38t8dbbe17kzh5gO+rIR3N+zX6t3HtHzHUd19wWh96+QBrTqOlqp3uXXIZEK6KceqG/SLV32T1jsOV0sKlBiL9l4s23FUknSgwvx8/qwddDxmc+rRypwlQ6YjcG/lzMcWSpJ2PDgnpMRWujHKW7VJpkdy3otRvQv1nx9MjVh/Qt/CpBwfAID2hEwPAAAAAHEpLQ9tZO50+ycKU/tnRe/CrMB5gyZrSwqztHT7UXm80tvro/e/SFcXPL5IVz3zacLPe3Jh9F4J0SZtV+8u04xfLdDS7UeiPnfjvoqEx4L0VFnn1EW/X6Q/fLRNDa7IvjH+8mipkGmP/D54Z8P+lJ0vGTyNL0dbBGZG9U5NUOLDm8/Qk1eM1ylDuqbk+AAApDOCHgAAAADisq+sNuSxs7EJtz3Fd0f/6usnGssT7p9vLPcsCARDnO7U3bmeKmZ9NGaM6KGhPfKMx2Z35D/zyc6ox5w6pJskKc+kufzWg1Va8MWhqM895zcfxxou2pFXV5dq1a4y/fLtTao3CXo0uFMZ9Igsd3fT86t0tDp9s4ncRiPz1j/3NacO0s2zjtPrN01L6nEHdcvV7NElaZ1hAwBAqhD0AAAAANAkp9sTUYrpYGN/iFSXhBlekm8sB0+cuoICAu4UlutpTUN75OuxS080Hu88Uh2xT3D5oHBdcjO07q5ZWjVvprrmRu/TcXzP/Kjb0P7lZgYCD5V1TtN9wpveJ4tZENTp9ur2V9al5Hwt4XR79K2nl+me1z6X1DblrTLtNt141jCN7kMZKgAAkiXpQY+77rpLFosl5L/hw4cn+zQAAAAAWtGBijpFmyNNdaZHdoZ5o/R31gdK5rjaWdAj2oTzjBE9NLpPgfH4rEcX6JVVezT6zne0ZJuvNNWskSUxj52f5ZDDZtWRGHfW33PBKK24Y4Ye+/pYOdri9nakVEGWw1j+cNNB032S8ZHxeLw6EhYMdXrMs0jeWp9+Ja5eWbVXH285rL2NWWy5JhlSAACg/UlJpseoUaO0b98+479PPvkkFacBAAAA0Er2Nfbz6J6fGbEt1XdHZ9ispucILtHjjjLRmq4qal0hjwuzHXr9pmmaMLA4ohzNT15co6p6l+5/03c3ekXQnfuTBhZHPUestyU/y6FueZm6aFxfvX7Tqcb6VN39j9YVHAT86+KdpvuYZUe9vrZUzy/fFfd5bnp+lcbfN18rvzxqrHvig63xD7QN7S2r1S0vrw1ZFxwsAgAA7VdKgh52u10lJSXGf926dUvFaQAAAAC0ktLGO6H7FGVHbLOnuJG5xWJRTpRsD7/1eyv054+3t5tJ+9Ly0P4oo3oXNFneZs8x33P8d9Yf1zNPj39zXNT9rTFq+RfmBCZ3Swrbd28URDpSFcjyiXZdeUw+Kzc+t0q3/WeddhyOLKtm5o11+yRJf1yw3VhX2hggNbPtUFVcx22Jo9UNeuSdTfrSpDRcsA9MMmAKswl6AADQEaQkd3PLli3q3bu3srKyNGXKFD344IPq37+/6b719fWqrw+kw1ZUVEiSnE6nnE7z2qNoff73gvcE6YZrE+mKaxPpimsTzbXnqG8CsXdhplbvDt3m9bhafE01dW3mOGyqrHOZbvO7742NGt4zV5MHRc9+SBd7joZO/k4a2KXJ17Csxqm6+gZ9tqtMkjTv3OHqkmWL+rxYJb+Ks6zG8+wKZMlU1tSpgInfEO3xe/P/3t1kLFfU+sad5bCqzhl4r+sbGmQLmhII/nxtKi1T38LoPWHCvfv5gbhen6/+YbGW33Zm3MdtjpPufU+S9N9Ve/XR/zst6n51DZHjzcuwtqv3uT1em+g8uD6Rrrg2269E3jOLN8m3Qr311luqqqrS8ccfr3379unuu+/W3r17tX79euXnRzbLu+uuu3T33XdHrH/uueeUk5OTzKEBAAAAaKZ/77Bq4X6rpvf26P3S0MyOu09yqSiy6lVS3bfKpkN1TZfRum64W6O6pH+2wuIDFr24PZC9Mm+cS10DCRf60RLz+9N+fqJLD6z2bbt1rEu9YvzJZHaM2090yWZRyLm8XmnuUps8suie8S4lMNeNNBX83nfN9OpIvUWD873KsHq1qdz3+f3lRJeygi6Rx9bZtLMq8Bn7zZTYQcbw8/j3D7/u+uZ6tafad9x+uV7dfII78R8oTgdqZXw+JOmxk11Ry7x9UGrRq1+GZpCd19+tmX3S//sDAIDOqKamRpdffrnKy8tVUFAQc9+kZ3qcc845xvIJJ5ygyZMna8CAAfrXv/6lq6++OmL/2267TXPnzjUeV1RUqF+/fpo1a1aTg0frcTqdeu+99zRz5kw5HNz5hfTBtYl0xbWJdMW1ieZ6/bnV0v6DOvWkkfpg36aQpuazZk5Xt7yWRT2aujaf3LFEh/ZXNnmcSRMn6PTjurdoLK1h8/yt0vbtunR8H908a5i65IRGGn605F3T5z37Zb4kX5mrq786J+Y5go8xvGee7rtwlMb2NS91dPuq91Vd79Ypp56hAV25+SxYe/zevP2zD1RV7wtCHKn3zfr36tFNf7pinEbdPV+SNH3mzJByTuHX3Jw5sa+v8OdMnzVbmXarsS7DbtWM4d112znH6z+fleqx97dq0vF9NGfO6Jb9cDF8svWItHql8fgnS+3adPdM055AuxZsl74M7T9y+cyTNXFgl5SNL9na47WJzoPrE+mKa7P98leIikdKylsFKyoq0nHHHaetW82bmWVmZiozM/IPJIfDwYWXhnhfkK64NpGuuDaRrrg2kaj9Fb6StH2L8zR5ULGWbg80Ls7KyEja9RTt2szNDP3TxW61mJdvstjaxbV9sLHnwoBueepRmBvXc/Iy7UavhkmDipv8OWeM6Kn5Gw/o4UtO0KUT+8XcN9thV3W9W06vpV28fm2hPX1vjh/QRQu+OBSyLsthU1ZmILhms9mNn8dj8lmy2eyyRkuTMPHXJbt041nDlGG3qsHl0Yc3n2H0ACrK9f3N/8GmQ7Lb7bLE6DfTEi5v5HEvenKZKmqdevF7J6tvl0BAz9PY4tRqkfw//inDeqRkXKnWnq5NdD5cn0hXXJvtTyLvV2o7DkqqqqrStm3b1KtXr1SfCgAAAECK7GtsvN2rKEvZjtCSMDZbaiYwg2WHNTIPH4NfrD4W6cR4PYOaiAe75KS+Eeuq6l2qdfpKAz31rQlNnuNXXx+r5689WZeMjzxWuOwM35+GD7y50Rgb2qfDVfURAQ9JynRYQ0o9rfjymLG81aTBeJ2r6TJUwRkUr63Zpx+9sEoNLl/fkAxbYLohp/Hze6zGqfkbIxuIJ0tZTUPEuo37KrS3rFb3vb5RLnegp4nL41u+4MQ+Ou+EXnryivEpGxcAAGhdSQ963HzzzVqwYIF27typxYsX66KLLpLNZtNll12W7FMBAAAAaAU/f2WdDjdmGPQqzI64S9uWoru2g2XaQ/90ycowD3q420HQo8Hl0aKtRyRJJVGCHg9cHL0EUL/ibBXmNH2nW0GWQ1OGdDUt7RPOH0T6eMthXfO3FU3uj/R1/xsbjeV7LxhlLGfYrCGf3Zue/0z/WrFbD761UbMeWxhxnPqgpufR9MwPVG3YfKBSr64uNR5nOgKf2eDzvrp6bxw/RfOU1URvcPr2hv2a89uPjcf1jcGZrrkZevzykzR7dEnKxgUAAFpX0stb7dmzR5dddpmOHDmi7t27a9q0aVq6dKm6d0//uroAAAAAQm09WKnnlu0yHnfJcURMomfYU55ALoct9BzRMj0efW+zzj0hvbPMX1yx21juXZhtuk+m3fznk6RRvcz7crRETUPgrv4NpfHXS0b62X642ljukhsoZxX+GapzenTLy2ujHieeTA9/3xAzwYHKgUF9YlLZM+ZYY6bHlacMVG6mTU98uC1k+xcHqjRy3tsa1iNPa/aUSwp9jQAAQMeQ9L9OXnjhBZWWlqq+vl579uzRCy+8oCFDhiT7NAAAAABawdvr94c8tlgsIZkdH958RsRkaipsORgov/PgxWOMcjnhth+q1vIdR023pYudQZPS0TI9JCk3ys84sndB0se05xglrTqK4JhkcU5gQj/eHKj8xv45dU1keni93pBgWbjg8lbjB3RR78ZrvanjxqvB5dFfF+3QB5sOGOvKan2ZHkU5Dl06wbyPTU2D2wh4SFK3PIIeAAB0NKn/6wQAAABAu/X2hv0R64IzPQZ1i68Jd0ttDQp6jOhVoKwomR6SdOkfl7TGkJqtX5dAdkesn2PWKPNyO8f1zE/6mMIdrY7sjYD2wRoUlCzKicz0+Nns4TGfn9l4TZ7724+1obQ86n71Lk/MHjrBJa0sFou+2thb5ulPdujrf1wiZ2N/DbfHq+ueXaFH3tkUc1zhXlm1R3e99rm++9cVqmvsdePv6VGU7dCAroHvpr9eNTHqcWJ9BgEAQPtE0AMAAACAqd1Ha7R+b2Spo3h6RCTbpEHFxrLdagkpb/W7y8bpjnNHhOyfzr09uub5+iD0L45d5scRpUF896A+Cqli1hA6UdsPVen9jQea3hFJFZyJlZcZqGid1dhj4/ozhuiaaYOiPt+/X02DO2Z/l+oYpa3MBGeELdtxVLuO1kiSVn55TO9+fkBPfLhNXm/8n9uK2sD5h//ibQ289Q0jOOovWbXtgTlaett0nXF8D00Y0EWSNDssmNivic8hAABof5Le0wMAAABAx/Du5+YT1m0R9Dh7VIlRtspmtRgTs5JvMrVLTmiJmtKy2rSdzPTf4d5Ub4NoZcOCJ7KTZfaokpCsngZ3y0sQXfjEIlXUufTMVRN15vE9Wnw8xCco5qGsjMA1FNwnJi8r+jXUJSfDKHe2v6Iu6n7V9U33/AhmD7ue/UGTbYcCWVyPvLNZtzSRieJndo1+ccB3rMJshyTfd4W/hNw/rpms2ga3ERDZUFqurQerdFL/Lgn9HAAAIP2R6QEAAADA1Iqd5r0xhvXMa+WRhGY9OGwWZQf1u3DYLOrTJbQheKwGy23N5fbdzZ7RRC+U4KDHo18bayw3lSHSHI99/UQ9cNEYI6DV4Gp50KOizvceLPzikNbuKZMnjbNvOpLgklPBpZuCA4XREiq+MrZ3yOc7VnizuiH6Z+y2c5oOXLy74YDW7y3X62tLjXW//2hbjGeEqo9xjYYHQSXfaxHctHxU70JdcGKfuM8HAADaDzI9AAAAAJh6a31kPw9JunraIFXWuTR9eOvdvR8cAOhTlBMymWu3WSMCAeWNDY3Tkf8O9aYawAf3ZpgxoqfW3TVLLrc3JOCTLNkZNl0+ub/+uHCbvjxS0+Kgx8ovjxnLzyzaqWcW7dS9F4zSt6YMbOFI0ZTgTKDcDLscNoucbq9OP667sX5sv8KI5115ykDdcOZQvfjpLmPd6D6R+/mZlbf69/VTNKZPkTLskdf2rFE99cu3A307Hv9wqx7/cGuz+wIdi9F3xizoAQAAOg+CHgAAAAAiHKqsj1jnb0Scabc12Qw52WaN7KmPNh/UReP6KjvDFlKqx2GzqKQgSxZL4A72dA56+MtbOUwmhoM57IGgR6bD2ioNl/3ZJy0Neuwrr41Y94ePtrUo6FHndOunL6/V8JJ83XDm0BaMrmPz97O594JRslktWvSzs7T7WK3GBZVxys9yRDzvxrOGqlteZkjPmFgBCbNsqvEDik329Bkc5Vg7DldHfY6Zz3Yd01MLtxtB2YcuHqOueZm69tlA/5HCnMifDwAAdB6UtwIAAAAQ4eMth4zlU4d106Jbz9LDl5zQZuPpmpepP35rgmaP9jUhzgwKGGTYrLJaLdp6/xxNGdxVkm+CPF0ZQY8meqMEB3YymwiQJIv/Dv1b/r02ZP3ByrqEylOZBU0mN743zfWnhdv12ppSPfLOZv1vTWnTT+ikahuv/e75vl4WPQqyNH5AaN+KYT1CS9Sd2K9I3fJ8wY45Y3oZ610x3vOaBt95xvUv0qRBxbrylIExx2WxJKcX0Pf/vjIkC61nQZZmjuypP3zzJElSv+Js5aeg7w0AAGg/CHoAAAAAiLDwi0DQ47ZzRqhPUbasbdDAPJrgIIC/QbLNalFu42Snf0I2HTkbe3o0Vd4q+GdM1oRxU/yv255jtXph+S55vV49t2yXJt3/vgb//E2V1UQvKRTsXyt2R6x7a/2+Fo1t19EaY/mHz6/Skar6tO7d0lb872FOjDJoRWHln56/9mRjOT/LobvPHyVJcsVoaO9/7QuzHfrX96borsbnxKOkIMt0fYbNKm9Qw5HX15Zq6kMfaNHWw/J6vfrnsi91MCwLzd/P55wxvbR63ky99aPT0uq7CgAAtD6CHgCQxo5WN+idDfuNO0IBAGgNHo9XC7ccliT985rJGtm7oI1HFCk4IBDc5Nzf76I2DYMeWw5Uqs7p1v7yOklNl+BpjXJW4YJLDd36n3V69/MD+vkr64x1ZsGMBpdHf1u8U08t3G5MWC/dfjRivzpny/49Yw+byP7dB1s1+s539NTC7S06bkfjz3JqqvfLS9+fovPH9taaebMi9vVni7yz4UDU5287VCVJRqAxHv++foquO22w3vnxaabbG9werd1Tbjy+8blV2ltWq2/+eZkG3fambn9lfcRzgrNWinIyQnqaAACAzol/DQBAGrvo94v05ZEa/Wz2cF1/xpC2Hg4AoJPYUFqho9UNysu0a9Kg6DX621JGSNAjsJzTGCioTbPyVgu/OKRv/2W5Jg8qNialx8RoEi1JA8Kas7eFO1/doF6FWdrXGKjJDgrE1DndemH5Lv1p4XaVNm7vV5yt2aN7KTfDpuoGtzJsVqNxe0t5vKGllv66eKck6f43N+q70wbJFhQU2Vvm6ynSpyg7KeduT2oafBkY2U0EzSYOLNbEgeaf79fiKB/2xwW+YNP7G6MHRsKNH1Bs9P24/owhWrnzmO65cJTysxya+tAHkqQLnliknQ+d22SJuq+M7a3vTh3YallQAACg/SDoAQBp7MsjvjIOb63fR9ADANBq/GWEhpfkN1mCqa2ENjIPjDFdMz1eWrlHkrRsRyADYmzfopjPmT6ih344fZhGtWKmzZWnDDSCCZK0v6JOM0f2NIIe+VkOVdW79I+lX+rPH2/X4arQclfzNx7U7NG9VN34+s8c2VOzRvXUj15Y3eKx1cbIFCktq1W/xiBRbYNbs361QNUNbr3xw2ka1Tt2cKkjcXu8OlDhK//UkkyhH00fpuv+vtJ0W1lNg+b+a43xuLkZPD+bPTzqNq/Xa1xzZl67cZrG9O087ysAAEhMev4FAwAI4Y2/bygAAC3W4PZNWLdFeaV4ZTRV3irNMj2Kw0pZZTts6lccOwvBYrFo7szjdPaoklQOLUR+VuR9ce99HriT/8VPd2vqQx/oobc26XBVg/oUZeuaaYOM7YXZoT/nOWNKNLzEF7TpmhvaRyJRse78f2dDoLH1ocp6I+iyeX9li87Z3hyoCAQKCrKbf4/j8SX5ksz7gtz/xkZ9sOmg8bipBubxmhDUbP1gZb0e/2Cr6X4Du+YQ8AAAADER9ACAduDzfRVtPQQAQCfidPmi7cGBhXSTGaW8lb+kT7o1Mg8PBni83rQsy+PyxL7TYsn2IyqvdWpwt1w98tUT9NFPz9Btc0YY2/2BCX/wZHhJgeyNQammjt0U/7HHB02O+933xkZJ0pdHqnXaIx8GxrvtiLFc2+AOaZKdDOv3luuu/21QZZ0zqcdtruDrvke+ebPweORk+N6/WqdbnrD37Wh1aHbPheP6NPs8wf557WRjefID7+vfn+0x3W9sv6KknA8AAHRc6ftXDADA4G7hJAEAAImob+zBEJxBkW56FGQay2ZBj6b6AbS2Bnfo7/Lw/hTpYuqQbjG3Dy/J1+OXj9N7c0/X1yb0k8Nmlc1q0d3nj5IkHalqkNPtUWWdr69EcW6G0YC8vNapqnpXs8bl9Xq1bq+vwfV3YmQW/Gb+lpDHL63co7fW7dOuIzUad++7uuXltc06fzTn/e4T/XXxTv3kxTVN79wK/P08ehc2P+AhSbmZvs+R1yvVuUI/S+HBOrPsoOYILlkXzXemDNC880Ym5XwAAKDjIugBAAAAIESDyxf0yIhjErKtHNcz31g2K2/ln/xNF9Vhk/1Od3oGPaYN66b7Lxqts4b3iNj2wnUn660fnarzTugd0jRckro0lq56e8N+bTlQJUmyWnwZLsH7nv/4J80a1webDqqsxpdNUZjt0Nq7ZoVst1ktcnu8+s+qvRHPvf6fn+m0Rz5UndOjl1buUXmNU/e+/nlI6auXV+7RxPvna+WXx5oci9frVYPLY3xOJGl+As28U8kfVMrJbFkgIivos7/1YJVu+886bT3oe73Cf9ZBXXNbdK5gfbtElnz7zw9O0eDuufrLlRN09wWj1TUv0+SZAAAAAQQ9AKCdcLqb1yQSAIBE+X/nZKRpE3NJ6tslR9dMG6QrTxmo/KxA6Sh/psc7Gw7owTc3hpQzasvsj+o0C8LE8s3JA/SXKyfq3DG9jHU/njFMJw/uGrUk18mDi43lZxbtkCQN7Jorm9Wi3oWBiezth6q1endZwmNaHFSmqijboYIshyYNLDZ6Trg9Xv3lkx1xHWvsPe/q6U926OxfL5TkCxTc/NIaHaqs1yV/WKyDFdEbaDe4PLr22ZU67o639MPnV4Vs23aoyliuc7r13ucHVFbTEH6IlKqp913juS0MelitFuO1Pf/xRXp++S796IXVWrenPGS/Z66cKKs1eRlhN5w5NOTxx7ecqZP6d9EH/+8MnTW8Z9LOAwAAOrb0/SsGABAi/A5RAABSJZDpkd5/Ltxx3kjd1VhWyS+48fIfF27XXxfv9O3733Ua/ou3deer61tlbIer6vW1Jxdr4K1v6JlFOyJ+j79+07RWGUdLfPPk/sby904bEnPfHvlZKmgsc/TSSl8vhtF9fM2mwyfFL3xike5/4/OY/TU8Hq+u+PMyDbz1DdU53fq81NffrFtepsY0HveF607WktumG8+5/82N8f5oIbYcCG12PumB9033++iLQzrujreMTIe3g5qnS9L0RxcYyw+9tUnXPrtCJ97znl5ZZd6bIhX8wbVckwbkiQpvYr6htEJ7jtUYj/99/Sk60yQjqCXCS2X1K85J6vEBAEDnkN5/xQAADMElFAAASJV1e8r1q/e+kCRtO1jVxN7pJytsovbe1z+XJP1j6S5J0t+WfJnyMTjdHs341QJ9utNXKunu1z7XOxt8E+XPXDlRm+6dbQQE0tnIXgXGcjwBsGFBJcckGcEJSZo1MvQu/ac+3qFBt72pz3YdU53TLVdYRusnWw/rk62HJUn/WPqllmz3ZXq8cN3JRhDFarUoP0pGw9++O8noMxLLkap6XfT7xRHrzQIyr67e1+TxJF/Axh9sk6SfvLgm6Q3Uo6mo9ZUA8zcib4nwY/TIzwzp75GKvjTdKF0FAACSgKAHAKSx4SWByYMGylsBAFrBV4J6LizfebQNR9I8/vJWfh6vdPlTS0PWpTp78s11+4z+E+FOGtBFWY707ZUSrCgnQ6/fNE1v/vDUiB4eZv7fzONCHgcHdh752ljT51z8+8Ua/ou3Nfqud0ICA3uO1RrL970RyOAY0j20f4TVatHT35kQcdxpQ7vpO6cM1NShXWOOefx9803XV4ZdI16vtCJKv4/TjutuLB+rbtCv398Ssc+BivqY40iGmgaXfvHqBklSXmbyMz1qnW4dqQqU6xrXr6jF5wg3eVCxxqbguAAAoHMh6AEAacztCfzxn64NTzuCAxV1qqwzn5wCgM7sh2cNbXqnNFOY7YhYF9wPQvI1Zk7lnfexsjPNxpfORvcp1MjeBU3vKOmUod308venGI9H9Qk8rzDboTV3zjJ7miSpzunR0erAhPrhKvMggVlPkekjQrNIHrp4jBGksUbpQWLmwYvHKLMxo2X30RptP1Rl/FvsWIO0v6JedqtFN5w5RLedM1yXTuirH88YpssnBcqAjbv3Pf02KOiR5fAdb3+MPiHJcvsrgdJtyeizsWl/aNmvyjqXEYD6xsR+sqeg54/FYtEr15+iC0/srblhQTQAAIB4tTznFQCQMm5vcNCDTI9UOFJVr8kPvK+8TLvW3312Ww8HANJK8B3s7UVwlmQ0FzyxSGcN76G/XDkx6ef3er1aFaVR96SBxabrO5IxfQt1Qt9CDe2Rp4Ks0ABPYbZDOx6coyuf+VQLvjgU8dyKOpeq6l06/ZGPEj7vjWcO1eMfbpUkDeuZZ6wf1iNfH2/xlcnaeM9sVdW75PV6Tft29C7Klv+fXuf+1pfx9N2pg3Tb7GHaVuELIozqU6ifnj085Hmx/o3WIz9Lu47W6MInFmlA1xy99L0p6lGQlfDP1xSv16tXVu01Hu8vT22Q5VgKG7RbrRb9+hvjUnZ8AADQ8ZHpAQBpLDjTg54eqbFqV5kkGZMgAICA4tyMth5CwiwWi753+uAm9/tg08GUnP+jLw7puWW7TLf1Lc5OyTnTSabdpv/dOE2/uvRE0+0Wi0V/++4krbhjRsS2Q5X1uue1z6Me+3eXRZ8IPz4o2DWqd6Cs1sUn9ZHdatE3JvZTdoZN3fMz1aMgy7TsVdfcDA3qFlo+6y+LduhodYO2NwY9Jg3sEvE8h82qf1w9OWL9/5t5XEhfky+P1ERtkt5ShypDM2MOVqa2nNZPyMIAAABpjKAHAKQxl5tMj1QLbsJZT2AJAEIU5bS/oIcU+vszlhUp6FmyMCiDIcNm1fdPHxLyGD5mDatX7z6mvCzzYgR5mXZ9ZWzvqMebPbpE3506SM9+d1JIz5TRfQq17q6z9eDFY0L2/+c1J4dk3hRk2XVcz3y9dP0UhZv80EdafND33p3UPzLoIUnThnWLWHfT9GF6IOy8qbJsR+i1HN7bJpky7VYNL4mv5BkAAEBb4F/dAJDGyPRIveDXONWNbQGgvQlvZNxeHB9HiStJ+uqTS5J+7uAsgx9OH6qvjO1lPPb3i4DPP66erEmDAoGHB97cpFdXl4bs878bp+qySf1NM0OCOWxWzfvKSNOSbNkZNtNeIFdMGWAsL799hjLsVhVkOXTjmdF72QzrGf3auv6MQIBr+e3TJflKev3mGyeG7He4ql5er1e7j9aEZJnWu9zaW1arRO0vr9NNz68yHvcuzNJDl7Q82GLWIF6SvhcUyAMAAEhH9PQAgDTmCpqQv+ZvK7SOnhNJVxkU6Kisc6mryZ2nANBZtddJ+ktO6qunFm7XloNVTe7r8XiT0vR5+6Eq3fqfdVoedMf9tGHdQxqXhzeG7uymDeumacO6aeL98yPKM0nSvReO1gl9i3RC36KUnP+8Mb2083C1+hfnhGSH/HjGMBXlOIym3cEGdM2JerybZx2v88f21vE980OuqQtO7KMLTuyjgbe+IUmacN98Y9tNZw3VTWcN0y/f3qSnP9khSXrjh9NCgmdNufbZFcby7FElevJb4+N+bizhDeL9ZkZZDwAAkC7a518xANBJNLjcxnJlC7MQKuucenbJTh2sTG1jy/amotZpLO86WtOGIwGAthd81/mUwV1N745vD2xWi645dVBc+1Y1JCfL7+xfLwwJeEjSif2K1DOoafV5J/QKfxok3XBGaObAyF4F2nTvbH3r5AFRnpEcVqtFP5w+TBeO6xOy3m6z6ppTI/vCWCy+jJJobFaLRvQqiBpEy3JEPvd3H2zVcXe8ZQQ8JOnCJxbF+yNIktbtLTeWzTJdkuXbUwbongtGaUzf+AMyAAAAbYGgBwCkKafbo4q60IkYj6f5jbbvff1zzXt1gybd/75+9e5mmnY3Cg56HKlObdNPAEh3zqBeGE9ekZy7xdtKTkZkUvvlk/tHrCuvcUasaw5nWB+RngW+zEGHzao182bp9988SZdO7JeUc3U0wYGh+XNP15s/OjUk86Kt/P6bJ6lHfqb+efUE/WCEWx/ffFqLjnfNtMhAipnwa6kpBUF9UE5IckDi3KBA3T0XjNa3pwxM6vEBAABSgaAHAKSpY9UNEesOtCBL4/2NB43l336wVYNue7NZdaM7muDA0rHq5Ex8AUB7sHZPmQ5WhP5eqQ/KMMzKaN9/Kpw1vEfEuismR2YOlCUp6BHu53NGGMuFOQ7NGdNLmfa2n8hPR7NGleiqqQP1xOUnaWiPvLYejmHOmF5afvsMTRpYrOOLvCHBmeboURC7hGZ+UPBidwLZp/7sk19eMkaj+yQ36DG0e/q8HwAAAPFq33/JAEAHdsQk6PHnj32lDx56a5OeXLAtoeOZNXX97jOfNm9wHUhw8/KymsjXXPKVe3G5aSQPoOPYcbha5z++SJMeeF91zkCgo7bBt2y1SBkxyvi0B7mZkZkeA7rm6NZzhoesOxbluz8RZqUjzx1DKat42awW3fmVUSFZBR3RpRNCM33G9ivSlacMVM+CTA3ulqsVd8zQ2H5FkqSXVuyO65jltU7j34wTBhY3sXfiLpvUXyUFWaZZUgAAAOmKRuYAkKaOmgQ9Sstqte1QlRHwuGhcn7jvOhzWI0+Ltx0JWbf9cNMNXju6elcgmHEsyt2+P/jnZ1q1q0zz/9/pyjOZRAOA9uaFT3cZy88u2anrTvP1VKhtDIBkO2zttp9HLFkOm7532mBNG9pN815dr892lamstuWZHne/9nnI46e+PUH2dh40QvJlOWz6xXkjdaiyPiT4dtsc33Km3aaqOt/1+NsPtmrV7jI9+91JMT+L815dbyzbUvCZLSnM0tKfT0/6cQEAAFKJf4kDQJoyy/QoLavVocpA34kVO4/prv9t0Lo95RH7httbFnkXqtPt1R8+2qbZv16oAxWds8F5cCmX6vrIHio3Pb9Kb63fr/0Vdbrrfxtae3gAkFQut0eX/Wmp/rhgu7HuyQXb5fF4tb+8TuWNAYDsjI5RhunVG6bqtnOG60fTh+kX542UzWqRxWLR6D6FOlDh+336n8/2tPg8b6zdF/LYYet4ASMkx9XTBkVkG2XabUbps+ElBcb6j7cc1pVNZOUG/7sww86f9wAAABKZHgCQto5URTbV3ldeJ2dQmaUbnvtMkvTXxTu18o4Z6poXvVb0FwcqJUl5mXY9ecV4XfH0MknSL9/eJEma+asFWnvX2Ukbf3sRnOlRWh7a42TX0Rq9tqbUePzR5kOtNi4ASIVF245oyfbQrL+j1Q1atO2wvvX0cmPd4aqWl3xKB2P7FRnlgsL5g94t/W73eiObTgf/bgEScd+Fo/XGukAQbcEXh+T1ekOyPfaV18rl9qpPUbZyMnx/0g/ulqveRdmtPl4AAIB0xK0gAJCm/I3MpwzuaqzLz7Ib9dbDbTkYvVRVvcut3cd8DTE/vPkMTRvWLWKfijqXnl2yU/NeXW/0r9hXXqu1e8qa+yO0C/XOwMTU0u1HjeU6p1tn/N9HIfserqrXLS+vaa2hAUDSOaNMxv/+w8T6RHUEvzhvpCQpt4VZLbe8vDZiXXCfFCARXXIz9L3TB4es21fuy8bddqhKv3t/i6Y8+IFOffhD/XP5LtU6fVmqP5w+rNXHCgAAkK7I9ACANOXvLzFxYBedPLirHpv/hWoa3CqL0nfCY3KnqV9lnUv+zV1zM6LuN+9VX/mmCQOL1acoW1c+s1zV9S4t+OmZ6lec08yfJL01RGlQ/q8oDUT/tWKPzjy+h86hQS2Adihayf+qsPJ+pwzpar5jB3LK/2/vvgObqN8/gL+TNOledNLSRYFC2bOMMsqmOFgOQIaCioIDEAQVBfEnKH4RBUERUGQ4GYrsIaNlllE2dFCghU66Z5rc748014YuKG2Tpu/XPyZ3l8vnwmPSu+c+z+OruQEgR6lCfqFKLC/0uC7FlS4xWcFPMlGluvo46JSgi0vLRXZ+IQZ8fVRnu3nbL8PZWjPL18JIStIRERERVQfO9CAiMlCpOZqZHnYWCnTwsgOgudNv9pbSd5QCQEqJUiS3krNx90GO+Fzbq8JCIYNUqrni9e9bgeW+9+5L9zFu7Slk5hVCLQCbTt0ps3yHMSjZ0wOAOJNGrS7/eM/fTRMfRyVlITqJDeGJqG4o76vt4Qv3q8d3qoXR6JejlQKWChkEAbj7ILfyF5TD2kz3PjIfR0sMbOnypMOjeqyPnxNWju0AN1szAJq+Mw8nPLQSi3p6WJnxfkYiIiIiLf5lRERkoLQzOuwt5TCRVp6jfuvX8xjSyhVKlYBnVoQgM68QS0a1wXOdPJCdr7mQr637DACt3G1xa1EwJBIJ/ruRiJdLNMrcfTleZ9/fH4mCu50ZxnXzroYjMywly1sBQNtP96HgofIvz7ZzQ/8WLohMzMI3ByMQGpmMnIJC/H7mLhbsuAoAuPnZEDYQJSKDp21UXhkrU+M/TZBIJPBoYIHr8ZmITc1BE2erKu3nTEyq+Dj844GwMTfR6b9A9LgkEgmCWzfE7svxuBd+D7+eLnv2aUnWpvJaGBkRERFR3cCrM0REBqrkTA+FyaNdPGny4W48tfwYMvM0MztmFdUZzynQPLcy1S19oL0oE9ikdI8PQLefyLy/r+BOimb2SKFKjQ0nb+PZFSGIS6v63bH6lpGnLNUL5eGER5CfE755sT2ebuuGid29YaGQ4cq9DPh/vFdMeADAoeuJtTJmIqInkZCRV+k2297sXgsjMQy25poLxQ+X96qKD4Kbw9ZCzoQHVRsnK9Myl8tlEix4pqXOsodnHBERERHVZ0x6EBEZKHGmh4UCwKNfQIlKytZ5nlugQnZB6ZkeJcllUhyc2RttPex0lk8NaqLz/IejUdh3JR6t5+/DvO2XER6bjq/23njksRmaedsvi4/N5WXXwpbLin8q7S0V6OLToMztpmw8W72DIyKqAfuuxFe4fvvUHmjvaV9Lo9E/y6IZLTn5VWs8ripRL8zFxqxaxkSk1djJUuf5yrEd8MXI1tj6Rg9M6O6Nro2L/yZh0oOIiIioGJMeREQGSpzpYS5HWk5BJVuXLyQyGRPWnQZQcZNLXycr/D21h86yzj72CJ3TV3y+6dQdvLbhLHKVxReHtD0w6qKSszPKq4VdMukBAK/1alzu/i6X0cyWiMhQCIKA8NiKv6ccLBW1NBrDoE16ZFZxpodSVTw7sG9z52oZE5HW6C6e4uNdb/dEcOuGeKGzJ1o3sgUAfDasFQDA1cYMDerZ/7tEREREFWHSg4jIAOUpVcgpSibYWyjQyavs2QVa5+cNKFWiyt3OHADw6i9h4rKr9zMqfe/rCwejW2MHzBzQDKYmMrjbmePtvk3K3b5ApS53naEb1NJVfOzjaFnmNr4P1Xjv7qv7OduUSJZ8czCiGkdHRFS9MvJKX9hv7motPpbLND0u6hPLopsBFv57FRtOxDz26wtLzPR4OElO9KRkUgn2vNsTP47vBH83m1Lrmzhb4+isIPwzrQfLqhERERGVwL/MiYgM0K1kTYkqazMT2JibwNZCjvBPBpa5bbfGDrC3VMDZWrfu8wB/l1LbTuntW+l7m8ll+PW1rnirX1Nx2aTA8mc3nIl5gOd/OIH1x2Mq3bchiUzMxF9nYwEAYwI8cfrWA3Gdm21xiZIBLUp/jr+80gUA0L+FMy7OHyR+1lFJWaW2LSk1uwA3EzKfeOxERFURn166n8fw9u7i44j/C67N4RgEyxIN2+f9feWxX19YIvFvIuVFZ6p+zV1tyvybTsvTwQLOLK1GREREpINJDyIiA6S9MOVqYybeuadttvowE5lm/cOzOCb39NF57m5njrcqmLFREVuL0u9tV7QsM68Qp289wCf/XMHfF+KqtH99eGp5iPi4tbutzrpXAos/u1bupe+s7NXMCTGLh2LNhM4AgE+e9gcA3H2QIzaNB4CIdAlWHYmGWi1AEAT0+eowBn59FLdTshESkYzzd1Kr9ZiIiCoSGplcatnEHt4Y1bERVoxpr4cR6Z9dOb+tj+rug1zxsYxJDyIiIiIig8CkBxGRAfq5aNZERGL5Mwc+CG4OW3M5PhqqueB+Pb54BsGkQB84WunO/Nj8asATlT6Qy4pf+0YfX5z7aECpbd757QIu3E2DIAil1hmaPGXx3bkl7/QFgEb2Fjg/bwAi/m/II31m7nbmMJfLoFQJ+PjvK7hUVDN/xVUZlh6IxLHIZITHpiM9V9Oc/vCNJLy09hSGrzxejUdUc2JTcyqdxUJEhu/Tf6+WWmZqIsNXz7XFU23c9DAi/bN7qA/C4/x+/Rx6C0+v0CTQLRQylhciIiIiIjIQTHoQERkg7WwB+4dmWHz6bEsAwMJhrfBaL1+cnzcAfkX12Ls1dhC3e6atG8zkxU3LR3Rwh5dD2T0rHtWl+YPwVt8m+PetQLw/uDmkUgkmdvcutd2w70LhM3cXsqvYFLY2lGw47u1ggSA/J6wa20FcpjCRwN5S8cj12SUSCZo31Pw7/HU2Fk+vCMHuy/Hi+qy8QvwZdld8Hp9RXGJG2wR3wY4rmLr5nE5TXEOQU1CIwC/+Q7//HcHluHT0XvIfRqwMNbhxEtHj82hgru8h6N3DMz2yHuO36/sj0eLjh0tMEhERERGR/jDpQURkYO6k5EDbF3X6gGY668Z388bpD/thXFcvAIC0RCmNtRM7wdHKFO087Eo1u5RWw92nZnIZZg70Q6sSpaDmP9MSMYuH4uisoFLbD18Z+sTvWVOO3EwSHx+c2QfWZnJ0L9EIvirX8xc+20rn+ZqQGPFxfqEK/4TfE59fjE0r8TgdSZn5+Ck0Bjsv3kfTD3djzbFoVOZ4ZO2Ux/pw22Xx8VPLQ3A7JQfn7qThyr2MCl5FRIZuapAvNrwSoO9h6J3dQzcXRCdll7mdIAgIv5umU8JQm+wGNDcjEBERERGRYTCpfBMiIqotdx/koNeS/8TnDpal7xx1ti67WaWFwgRhH/Uvc11NN1f1dLBAzOKhyFOq0HzeHgDAzQTDLYfU2LF41ou2BruNWfFPYmpOwWPvs9VDfUEeZBfv4+8L95CZV3yhLDQyRXw8clXpElef7byG/EI1vBwsYGVqgtc2nEW3xg74cXwnKEykeJBdgDFrTgEAjs/pi7i0XHT2bvDYY65MnlKFbefL7tMSGpmMdh52AIA28/ciI68QR2cFwdPBotrHQUTVy8bMBLMGNdf3MAyCnblueasT0SloW/TdBmi+B1VqAbsu3cesvy6is7c9/pzSHYBmFh8ArBjTHj2bOtXamImIiIiIqGKc6UFEZEAevsD8iNWVKtXQtnZKmJjJZdj6Znfx+YYTMbXyvo8ru0AFQNOQXKtkLXaHh2q8P6oB/i7i49i04hJWJWeWPKole29g2ubzmPjTGRQUqnHkZhLmbLmIB9kFOHu7eIZH98WH8Nz3JzB366UK95enVGHu1ot469fzj1y+Zd/VhHLXbTx5G4UqNdJyCpBRdOGv15L/EJ+eV+5r6gK1WjDo0mxE1WHT5K76HoLBeHimx/Go4qS0Si2g+bw9aPnJXiw7EAEAOBNT/P0bl6ZpYu5uxzJhRERERESGhEkPIiIDceVeOpbuv6mzrGuJPh1VsWpsBzzbzg2v9vJ5ov08jraN7MTH8/6+gjylqtbe+1Fpy5NYmcp0lm+cFID3BjZDkJ9zlfa7cmwHzB7sV+769wY2K3cdoOnZ0q7EHcYP23o+Dh0W7serv4SVWvfr6Tv49+K9Ml6lmXXy7m8X8Ovpu9gRfg+tPtlb4Ti0EspIYHw0tAUA4H56Hpp8uBvtPt2vs77rooMYu+YkNpy8XSca2j/s+R9OoOUne+E9ZycW776u7+EQVZvcguLvYm9HzsjSMpXrng4dvZmExKK+SzEpxaWutAkOLaVKjYSi7Zj0ICIiIiIyLEx6EBEZiDc3nSu1zNpMXsaWj25I64b45sX2sFDUXjVDmVQilowCSs9eMQTaUlOWD30ugU0dMa1vU51eKY9DLpNiUqAPFOVM0Qlq7ozAEr1DtLwcLNC/hQvGd/PGthIzZR7XnC2XcD9dc2EuKTMfS/ffxIw/LqDDwv3YcyVeZ9s+jzAr40FRma/nOjZCzOKhiFk8FJN7Nq50HKGRKZi3/TKmbi4d04ZIEASciXmA/64nIqzELJrvj0RBra57iRuismjL9sllEliZssKtVlnf14t2X4dKLSAysewyjdvPxyEhIw9qQfN6Rys2MSciIiIiMiQ84yEiMhAle0BoyWq4F0dNWfZCO7z163kAwPrjMRjdxRNnYh4gM0+JID9nnVJS+pCUmQ8AcLSu/gtVpiYyeDpYlHmxzNvBEhsnB6BQpYZaAJYfikCvZk46/TgkEgmaOFuJr984KQBdGzeAiUwK7zk7S+0zZvFQFBSq0evL/xCfkYduiw5h0+QA/BF2F39fKHvmBwDEpOSg66KDWD2uIwa2dEWeUgWpRAKFSfEFwBNFZV68HurTEdzaFbsu6SZR+jZ3xqHriTrLdl2KR9+vDmPf9F4wqa5abdUkLacAc7ZcwpgAT7z6SxjyC8vuXj/9jwv45sX2tTw6ouqn/Y2xt1Do/TvYkJT13bTtfBwycpXo18KljFcA7/5+AW/28QUAOFgpqpwoJyIiIiKimmFYVyCIiOqxTl724uMPgpvjwscD9DiaJzOklSve7tsEAHA9PhNxabl47vsTeOXnMPx4LFrPoytOejjXQNID0C3xde7DILR0s8Hb/ZrCsujuahOZFAoTKWYO9CuzAfmmyQHwdbLE9y91RGBTR/Gi3LVPB2PN+E64OH8gdr3dE9cXDgYAKEyk6NeiuCTX2DWnykx4TA70QczioTqN7Xdeuo+IhEw0n7cH7T7dh7/OxgIA4tPzcOFuGgCgkb1u0mPl2I6IWTwUVxYMQttGtmjpZoPV4zpiw6QuAABLRXHZsOjkbAR+8d8jf3a1pd2nmtkv49edLjfhAWia0CtV5a8nqgsy8pQIi3kAAGhQxZ5FxkouK/4+dLM1Ex8fvJ5YYX+flYejAAA2Tzgjk4iIiIiIqh9nehARGQhtyaXlo9vj6bZueh7NkzGRSTFjoB++PRQJABi/9pS47vNd1+Fhb4GjEcmY/4w/TE1k5e0G1+5n4HhUCiZ086rWmQKJmZqyTs7WZpVsWTWTe/og/G4qutpmwNpMjp1v93ys17vYmOHgzD6llpsrZOhf1Czd3033QltlzdejPg8WZw41cbbC9fhMAJqL+toESU6BCu/9GY73/gzHJ0/7i68d3Mq1zH1amppg25s9IJFoZqj0bOqEmMVDAQD9/ncYUUmaevjxGYbV3LywkiSGjZkJfnq5M0auOgEAOBmdgp5NnSp8DZEhm/F7OA5cSwDApMfD5NLi3xZTue7vUVYFSQ8tazOeThERERERGRrO9CAiMhDa0iNONTT7QJ+0F7+13th0Dr+evoPvipIi5Zm8PgwL/72KWX9drNbxJGpnetjUzGfdoqENdr/dA52daq8fxJtBTdC/nFIsf03pplMqbeub3eFoVfGFzwU7rgIAGjtawkxefmJKKpWUWSrnrynd4d/Q5lGGDgC12vQ8oejf/2G/vdYVz3dqhKOzg9DRq3gGzri1p3Gw6IIxUV1yLy0Xuy7dFxMeAGDPpIcOqVSCLj4N0NTZCi0aWuusq6zvEQCdPkBERERERGQYmPQgIjIQKUVJj8ru2K9L3u3ftML1uy/HI7dAVe76uDRNU+5t5+OQpyx/u8eVlqMEANhbGE9ZEjO5DGsmdBITDW/28RWbj3d6qISWhcIEYR8NwMTu3pXuNzo5u9JtymJvqcCvr3YVn//3UL+PkvKUKgR9dRgTfzpdpfd6XOlF//4ljWjvjq6NHfDlqLawsyj9/+Ci3dd1nldHkkalFnA5Lr3SmSdEVfXMilC8uemczrIGZcR3fffbq12x991eePh/69/D7uo8t1DI8FJXz1ocGRERERERVQWTHkREBkCpUiM9V3Mh1phKj7zbvxlmD/Yrd31EYhZafLwH3nN2IqdAt4zIwxeVw4v6S1SHgqIeDhWV1qqr/n0rECHvB2H24OaVbjv/mZaYGuQrPt80OQAfDW2hs83oLh5VHouNeXHZl2UHbpa73dGbSYhJycHhG0l4fUMYrtxLx4GrCchTqmpkBog21komGMcElL6Quf6VLuJjUxMp4tJysfPiffRYfAg+c3eJs7Oqaun+G3hqeQg+33W98o2JHpMgCEjOKj2ryc6Ikr3VRSqVQCqVVNq/J6dAhY4l+m8REREREZFhYtKDiMgAaPt5AICtuXFdkHq9V/FF9abOVuVu5//xXiw/GCE+1yaBtF5YfRKf77pWLWMqKLqwpTAxvp9BqVRSqvF4Rd4b6IdVYztg9zs90aOJIyb3bIzrCwejqbMVGtqa4dNnW1V5LCXLXoXHpuNyXHqZSYySdfT3XknA0G9DMPmXMDSftwebT9+p8vuXJ7todpGrrRl+frkzZg/2K/NCZu9mTtj7bi9YmZrgyr0M9Fh8CFM3nxNnIG09F/tE4/juP00j5HWht55oP0RlWbyn7GSapSl7UJRHpa48yVqyjKCDpUInOUpERERERIbB+K72EBHVQbeSs8TH1dmw2xCU7CVRWUPr/+2/Ce85O3E7JRsbTtwutX710WiciXnwRONRqQXxwpbCyD7rqpBIJBjSuiFalOi/YSaXYc+7vRD6fl/In/AzWjisOGny1PIQbDxVOonxILvsHhsA8OG2y0/0/mXJKWpObKkwQR8/Z7zZp0mZfUkAwM/VGqvHdSxznbYZfFVJy35Loie269J9/HAkusx17T3sancwdcjswc1hoah4BqC1mVwsHXh23gD0buZUS6MjIiIiIqJHxas9REQGYEf4fX0PoXYIwNv9ivt8hM7piyOz+pTarPeSw/jf/uJySGby4p+r574/Ae85OzF69UlsPnUH6ke4M7ckbWkrwDhnelQXWVG5lydl99DMpXnbL8N7zk54z9mJyMRMXLufgem/h1e4j2MRSU88jpKyipIe5pVc3NR6uCeK1l9nY5+o/JaloviO+5CIZIREJCPwi0PYcCKmVhu7k3HJU6pK9fFwsFSgi3cDvNzDG118yo5nAlo0tEH4JwMR5KebyBjc0hUAMGtQ+eUaiYiIiIjIcHB+OxGRAWhkbw4AkMuM89bvLW90x8w/LuDDof7o7G2PYxFJCG7VEO52muO+tSgYcWm5CPziv1KvXf9KF/Ru5oTFu6/j+yNR4vIT0Sk4EZ2CD7Zdwq1FwWXeqZ+SlY/fw+5iVIdGcLYxAwDkFxY3RDdl0qPGlSwFU2rd0qPlrjsyqw8W7bqOPVfiMW7tadz8bEi1Jam0pdMetbeBwkSKto1sER6bXmrd7ZQceDtaVmkcmfnFZe1eWntKfDzv7yvYEX4ff0zpVqX9Uv2WW6DSeb5vei80c7HW02jqHrlMiv9u6CZaPx/RGpN7+pSbACUiIiIiIsPCqz1ERAYgKVNT3md8N2/9DqSGdPSyx+FZQRjg7wI7CwW2vdkDr/ZqLK6XSDR9KGIWDy31Wm3pkFmD/DC9f7My9z9i1fEyl8/deglf7rmBLp8fFJeVnOlhbKXEDJG5QoZL8wfi/LwBGNHBvcJt3+3fFEF+mj4aXg6WeLFEE/VJ68+gsJImw48qpagBeYMSjcwr8/e0QPwzrQdOfdAPMYuHimXbXtsQJjZGfxyHbyRWuP50zAMs3V9+83ei8hQ89P+JTxWTclSsgaWCCQ8iIiIiojqkxq72fPfdd/D29oaZmRkCAgJw+vTpmnorIqI6L6Go14WLjameR6J/e9/tJT4+OLO3+FgmleCd/k1xfeFgjOrYSOeu//N30nDuTip+Cr0llk7ynrMT+64miNv8eFRT3/7Q9YovNlP1szaTw95SgaXPt9Pp8VGSt4MF3u3fDD+93AV+rpq70vv4OYvrj0UkI+Dzg0gtSliU5VGTD9p9NLB49KQHALRpZAeXohlDbRrZAgBuJmRhysZzFb2slIJCNSb+dKbS7b49GIFfa6CROxm3fGVx0uPAjN5P3JenPnK04m8xEREREVFdViNnQb///jtmzJiBTz75BOfOnUPbtm0xaNAgJCbyQhMRUVkSMjQzPZytzfQ8Ev3zc7VG9OfBiPy/IfB1siq13kwuw1fPtcXNz4YgZvFQ8eLziJXHsWDH1XL3+3+7rmHFoQgcvlG9/SHo8Yzr6oXJgT7ic0crTeKhvDJYX45sIz5OyS7Al3tvlLnd7kv34f/xXiw/GKGz/O6DHPxwJErs46HdDwA0sHq8pEdJb/ZpIj4+ejMJB0ok2ADgZkIm1hyLxuW40iWx1oXeKne/XRs3wFNtGorP5269VOUxUv1UoNKUt7K3kKOJc+nvUKrcpskB4uN903tVsCURERERERmiGunpsXTpUrz66qt4+eWXAQDff/89du7ciXXr1mHOnDk18ZZERAYjMSMPChMpJJBg46nbeLGzBxwquWv0fnouAMDZmneXAoBUKoEUj9bfpLGjJS6W0WuhLF/tKy4XNDbAs0pjoyf37oBmEAAMb+8Oe0sFDlxNwHOdGpW57fOdPWCukGH98RiE3U7FyeiUUtskZuThjaLGzf/bfxPT+jaBRCLB7ZRs9F5yGIBmpsgP4zpi9I8nxXixMXu0nh5l6dpYt9TN5F/CsPT5tghu3RBt5u8rVWJoev9miEvLwbiu3thzOV5cHvJ+EH48Go2XunohLi0XHb3soRaAfVcTxFJs3nN2opW7DT59thU6eNpXecyVSc7KhwSAg5Upnl4egktx6fjllS7o1cyp0teS4cgrmulRXT1w6iM/V+syyy0SEREREVHdUO1Jj4KCApw9exZz584Vl0mlUvTv3x8nTpwotX1+fj7y8/PF5xkZGQAApVIJpVJZ3cOjKtL+W/DfhAyNocVmSnYB+n8donNX+S8nYhAyq7hMU1qOEodvJsHURIrbKTn434FIAIBEAjRxMjeYY6kr3h/UFNn5hWjjboPXe/mgUC1AJpGgUC0gMTMfjlYKvLQurFQT6l5NHWr0sza02DQkplJgzqCm4vMxnd0BCOV+VoP9ndDC1RL9vw7BvbRc5OUXiD01AOj0bAEAn7m7sGh4S5yMfiAuC4lMRstP9upsp5BV/d/HTAbsmtYdY9edQWqOZh8z/gjH2ZgHpRIeAPD1AU3C7Y+wWHHZ2vEd4GIlx0fBfgAA7wbFM73OfRCEVp8WH9fluAyMWHkcFz7qC6lEAnOFrErjBsqOzTylCgO/PooH2bqfxwfbLuG/GT2r/F5U+3LyNDOZFDJpnfv+4fcmGSrGJhkqxiYZMsYnGSrGZt31OP9mEkEQhOp883v37sHd3R3Hjx9Ht27dxOWzZ8/GkSNHcOrUKZ3t58+fjwULFpTaz+bNm2FhYVGdQyMiqnFhSRJsiCx9MfKbbsVJkM2RUpxKKn0HrpuFgPfbqmp0fPVVgQrYFiPF8cTiz/3tloXwtdHjoOixqAVg+knNvRpvtFChuV3xny/vnCj7Hg6ZRIBKKH/G0MP7qaqS72+rEJBeIBHf39UciMspewwftCuEi3n5+z0WL8Fft8pPbjSyFPBeaxUkjzYpqlxKNfD1JVm543Q1FzCn7ZO/D9WOiHQJVlyVwdVcwNx2/E0hIiIiIiLjkJOTgzFjxiA9PR02NhVf0KmR8laPY+7cuZgxY4b4PCMjAx4eHhg4cGClg6fao1QqsX//fgwYMAByedXLgRBVN0OLzchDkUBktM6yhrZmCA7W1AQvVKkx49RBAKUvtM4b1h79WziXWk7VYxiAD7ZfwZ9n4wAAA/v0FBtm1wRDi01jMP3kPgDAT5Fy5CnVMJFKcOL9PrA5fwwZeYWY1MMLa0Nvi9tXlPAAgGnPD6qWEkDWzZLx5uYLyFOqxYQHAIS+HwQHSwVm/HkROy7Gl3rd+OFDdGasPGyIIKDXlQSEx6brHJdWbLYEVk07o/djlp96ODb/b9d1xOWU3zA9PlcCy6ad0YdlrgxeREIW3llxHABgZ2ON4ODueh7R4+H3JhkqxiYZKsYmGTLGJxkqxmbdpa0Q9SiqPenh6OgImUyGhATdhp4JCQlwdXUttb2pqSlMTUvXsJfL5Qw8A8R/FzJUNRmbarUApVoNU5Py77hOzS7A1wduIvxuWql1SpUgju3nE9FQqUsnPA6/1wfejpbVNmYq2yfPtMK1+EykZBXA18UWcnnVSwQ9Kn5vVp8AnwY4deuB2LOgUC2g86L/xPVv9WtWZnLg5mdDEBqVjI0nbmNiD2/08HWEtIJkw+Pq26Ihjs6yL1Vmy9VO8//01y+0x/AOSTCXm2D0jycxKdAH857yf6R9P9PeA8+090BilhI7wu+VWj95w3m0dLPB31N7wET2eAkcbWzeSMguc/3bfZvg20Oa8nuvbjjPHgd1wPyd18XHcWl5dfa7h9+bZKgYm2SoGJtkyBifZKgYm3XP4/x7VXuHQ4VCgY4dO+LgweITf7VajYMHD+qUuyIiqiteWnsKfh/twbDvQpGQkVfmNp/tvIZfTtwu1TcCAB5k50OlFpCnVGFd6K1S6x0sFUx41BIrUxP8PTUQR2cHPVFPBNKPZ9u5V7jezkKBHdMC8c2L7eBup6kbNailCxQmUgT5OWPtxM7o2dSpWhMeWs42ZgjwKW5urn1/ADCRSdG3uQu6+TogZvHQR054lPTti+1gY6a5V2X9K10wa5CfuO7KvQysP1E62fOoUnMKxMdtGtniuY6NsPudnpgx0A/LXmgnrlOW6FWSmJmHId8cw+qjUVV+X6pe/168h9O3ivvYfDGqjR5HQ0REREREpD81Ut5qxowZmDBhAjp16oQuXbpg2bJlyM7Oxssvv1wTb0dEVK1UagF7LsfDy8ECrdxtcTwqBQBw4W4aAj4/qHO3s1KlxusbzuLQ9USdfWx+NQA+jpbotugQ1ALg+8EunfXfjm4PhUyKz3Zexbej29f8QZFIJpVABjYnqIucrXVnhs4d0hyLdmvubO/jpym91LqRLVo3skWvpk44GZ2CoOa1VzLu+U4eOFV00XnT5IBq3bdEIkH4JwORX6iGmVyGXk0dkZ1fiJWHNUmHhf9exaRAn8fe76XYdFyPzwQAHJ/TF252uk1Gnmnrhnd/vwAA6LPkMELn9AUArDgUiWv3M3DtfgZe6+X7BEdG1eFeWi6mbT4vPu/u64Dg1g31OCIiIiIiIiL9qZGkxwsvvICkpCR8/PHHiI+PR7t27bBnzx64uLjUxNsREVWr5YcisOxARLnrvefsxMm5/fDNwQj8errsOvjdfR0rfI92jezg6WCBwa1Kl/0jorI1dtKdETW8gzuebuuGwzeS8EJnD5119pYKDKnli77PtHODuUIGH0fLGpm9JZFIYFZUkk0ikWD24OZo5W6LNzedAwC0XbAP6blK9G/hgh/GdSy3X4hSpca3l2V458Q+neUPJzwA6MyKiUvLhfecnWhgqcCD7OLZIaNXn8Qvk7pA/pjltaj6xCTrlijbOKl6k25ERERERER1SY01Mp82bRqmTZtWU7snIqp2SpUaTT/c/Ujbvv3beZ0yIiVteaPiUn5fPdcWng4Wjz0+ovrOs4Hu/zfO1mYAgDEBnvoYTilymbTW764f4F98Q0l6rhIAcOBaAoZ+eww73+6pk/hYG6Ipr+dmo0BUpm5CxM/Futz3WDuhEyatDxOfl0x4AMCJ6BQ0/XA3Iv5vSIWJD0EQEJOSg0b25kyQVKPIxEyMWXNKfK6QSWukhBsREREREVFdwTNOIiJUnvDo0cQBswcX19AvmfCwt5BDYSLFrEF+iFk8FB29GpS1CwDANy+2w6iOjapn0ET1jIlMit3v9MSsQX44NjtI38MxCHKZFCvHdii1/Hp8JkasDAUARCZmYcvZWCz89yoW/nsVb2y+oLPtR0Nb4NfXupb7Hv1auGDN+E4wNan4z8amH+5GQkYe8gtVZa7/cu8NBH11WCyXRUBugQr/XryHST+fQWRiZpX28dz3J8THlgoZzs7rX13DIyIiIiIiqpNqbKYHEVFdcvBaQqllP03sjJsJmXC1NUPf5s6wNpPj9V6+Ov05Brd0xffjOla6/58mdkb3Jg4wNWHzbKIn0aKhDVo0tNH3MAxKcOuGiP48GNfjM9HAUoGuiw4CAMJj05GSlY/+S4+U+9rTH/YTZ8xUpL+/C258NgQZeUrsuRyPz3ddQ6+mTkjKzMeJ6BRxu4DPD8LJ2hQHpveGrYVcXC4IAlYV9R/ZefE+vhtT1aM1Hg+yC9Bh4X7x+cHriYj+PPixZmlcu5+B1Byl+PzkB/1gbSav4BVERERERETGj0kPIiIAKQ+Va5FIgB5NHEs1QZZJJWjsaInoovrpQc2dKtzv8Tl9cSMhE32aOUEiYbkRIqoZUqkE/m6aZNDpD/uhy/9pEh8dPztQ7mt2TO32SAmPkmzM5Hi+kwee71TcQ+WrvTew4r9I8XlSZj7afroPAT4NkJSVD1cbM1godP/k9J6zE6/08MHHT/s/1vsbkw+2Xiq1bMu5WDzXyQOxqTlwsjatMFGuVgv4aPtlAECQnxPWTezM3xkiIiIiIiIw6UFEBAD4cJvmwtFTbRrilUAf2JhpSlaV5c8p3cQLib2aVZz0cLMzL7M5MBFRTSkvkeHnYo0OXnYY2soFERdOorlr+X08Hsdb/ZogV6kSe4ZonSoqAxidlF3Wy7Au9BZmD/YTm7PXJ9fjM7DnSnyp5V/suQ4fR0s8/8MJ+LvZ4O+pgeU2pP897C7O3k4FAPzf8NZMeBARERERERVhTw8iqvfCYor7c/i72aCDpz2aOFuVu72DlSnWTeyEZS+0Q0NbJjSIyPAseKalzvNxXb2wd3ovLBrRBgE+DdDAtPrey9REhnlP+ePWomD8+1Zghdv6OllicEtX8fmcLRerbyB1yJwtpWd5AEByVgE+2n4ZagG4HJeBK/fSy9wu/G4a5paYKcLkOhERERERUTHO9CCiem9/iX4er/fyfaTX9G3uUlPDISJ6YhO6e+Neei5+OBINAHixi0clr3hyEokErdxtEbN4KADg7oMcWJuZ4F5aHkIjkxGXlotZg/xgaWqCyevDcOBaAkKjNP1A/jhzF/uvJWDBMy3rxQX8+PQ8AIB/Qxs81bYh8pRqxCRn45/we7geX9zQfMneG1gyqi1cbTWzd+LSchGVmIXpJZrBj+vqVatjJyIiIiIiMnRMehBRvZeUmQ8AGOjvUm4ZESKiumbukBYY380bEQmZaOlmW+vv79HAAgBgZ6EQ+41oTQ3yxYFrCUjKzIf3nJ3i8v1XE+BqY4b/Pd8WrdxtYWv+6E25VWrBoL7Dw++mwUQmKfOzT8/VNB///qWO8HTQfE6v/RJWartjEcnouuggtr7ZHb+euoM/z8bqrLdUyDChu3f1D56IiIiIiKgOY9KDiOq9tBzNxad+LZwr2ZKIqG5xtzOHuwHOnLC3UJS7Lj4jD2PXnIKtuRzH5/SFpanun6uRiVlQqtRo0bA4kbL51B18sO0SLBUyXJo/CFI9Jz9iU3Pw7HehkEiAfe/2QlMXTf+UWX+G6yQubMyLj83fzQb7rhbPPJwxoBmW7r8JABix8nip9/hzSjd09m5QU4dARERERERUZzHpQUT1XkGhGgDKbVxORETVy9nGFGZyKfKUanFZc1drndJO6blKtPxkLxQyKT56qgUuxabj5K0U3H2QCwBYNbYDhrRuCAD4YJumv0V2gQpf7r2BOUOai/v58Wg0/m/XNcwd0hzdfB3QppGduC5PqcKZmAfo4tMApiYyCIIAAI/VFFylFnA/PRfuduaQSCTIU6pw9GYyAEAQgAFfH0XU58H45J/LpWZqWJsVz2SZ3LMxUrIK4ONoiYndvSGVSuBoZSoem5ZCJsUfU7qhnYcdiIiIiIiIqDQmPYio3hOTHjKZnkdCRFQ/WChMsGlyV8ikEjS0NYNSpUYjewsIgoCEjHysPxGDVYejAAAFKjU+/vtKqX28sekc3unXFNMHNNNZ/v2RKJy7kwpLhQzNXKzxw1FNX5NFu68DADa/GoDuvo4QBAFPLQ9BZGIWAKCxoyWik7MBABO6eWHBs62w/Xwcvj0UgZcCvPBKoE+pMey9Eo/XN5yt9Hh9P9hV5vKS5bisTE2wcFgrnfUvdvbQSXpc+HgA7CqYJUNERERERERMehARIV/FmR5ERLWto5d9qWUSiQSutmZ4f3BzDPR3wbTN5xGXlquzzcJnW2JeURLkm4MRUKmFUrNGTt96AAD470ZSqfc4dC0RKrWAcWtP6yzXJjwAYP2J27hwNw3hsekAgE//vYrRXTxhrpAhMSMPuUoVei85XKXjHt3FE1fupaNNo8r7rEilEtxaFIxD1xPRzMWaCQ8iIiIiIqJHwKQHEdVrh64nIPxuGgDAzuLRG+YSEVHNau9pj9A5feEzdyeKqk5hapAvxnXzRn9/F3RbdAgAsOK/yMfa75qQW1gTcqvS7bQJD60WH+95pP3Pf9of83dchY+jJVaMaY+h34YAAJaPbo+n27o91lgBTSKoXwuXx34dERERERFRfcWkBxHVWxfupuGVn8PE54bY7JeIqL47ObcfLselI6CxA6yKmpo3tDXHf+/1QdBXh8t8Te9mTkjLKRATF6/3boxxXb0Q+MV/OtspTKRYN6Ez3th4Fi928cAHwS2wdP9NLD+kSaSsGd8Jq45E4ezt1DLfp19zZ6x6qWOpmYITexSXwopZPLRKx01ERERERERVw6QH1QvJWfnIzCuEh705TGTFFyZikrNhZyFnuYh6KCEjD8sO3NRZ1tDWTE+jISKi8rjYmMHFpvT3s4+jJfo2d8ah64nistA5fXE8MhnD27vDRCaFIAhIz1WKv/MfDW2Bz3ZeA6BJaPT318yguLRgkLiPmQP98Gw7N9hZKOBoZQqJBJi0PgwldfSyx/huXni2nXu1Hy8RERERERE9GSY9yOhdik3H0ytCxOcdvewR5OeE8Nh07L+aABOpBN18HfB6L1+0aGgNBytTPY6WasPF2DQ8syJUZ1nYR/0hkUjKeQURERmi13s1FpMeMwc0g7udOZ7r5CGul0gkOjc2vNLDBy3dbNHYybLMRIpWE2dr8XG/Fi6IWTwUQlGNLf5WEBERERERGTYmPchoZecX4ocjUfj2kG6t77O3U3XKVBSqBRyLSMaxiGSd7SYH+mByz8ZwLePuf5VagExady563IjPxI/HojGigzs6eTWo9w27N568rfN865vd4chkFxFRnRPQ2AHLR7fH5XvpeDOoSaXbS4tudKgKJjuIiIiIiIjqBiY9yOio1QJOxzzA+1su4nZKTrnbeTtY4L1BfvB2sMRTy0NKrdc2OnW1McOMgc3wfNGdo0dvJmHa5nPo7N0Aayd2rrHjqC7puUoMWnYUAPDX2VgAwHdjOmBom4b6HJZeZeQWio8XjWiNDp72ehwNERE9iafbulWpQTgREREREREZJyY9qEZtPReLGX+Ei8+DW7vii5FtYG0mF5dFJmZhzpaLCLudioH+LpgzpDkaO1kB0MzW2HIuFlKJBGZyGQa1dNF5bUmCIOCzndewNuRWqXU/TeyMoObOYmmKrPxCnf1cnD8Q3x6IwNGIJNxMyIKjlQLJWQUAgPiMPMz+6yLScgoQEpmCozeTAAAHrydi6LfHML1/MwQ1d4ZMKoFaLUBaYgbIvbRcJGflo00juyp+gk/uSlx6qWU7wu/V66RHSnY+AE3CY3QXTz2PhoiIiIiIiIiIiKoLkx5Uo0omPABg16V4hMWk4tj7QXjl5zMIjUzRWb/vagL2XU0AAHT2tseZmFSd9e/9CXwxsjVGdfQQy0uFRibj+yNROH8nDVn5xXfwP9vODfOfbgl7y+Ja3trSFA8nTmzM5PjoKX8UFKqRU1AIOwsFYpKzoRIEvLTmFO6n5+HzXddLHd+VexmY/Ituc9N+zZ2hMJFi9+X4Cj+b4e3dMSbAE529G1S43ZO6ci+j1LJbydk1+p6GThtXLGlFRERERERERERkXJj0oBqTXSIBUVJiZj78PtpT6esfTnhovb/lEt7fcgkrx3bA4RuJ+CMsttQ2MwY0w1t9mzx2/W2FiRQKE02SxNvREgCwb3ovtJ6/T9zGydoUi4a3LpXs0DpY1FC1MtvOx2Hb+Tg0tDWDXCbFiA7ueKOPLxQy6RPXDc9TqjDjjws4feuBOGNl1iA/jOniifYL9+NGQia85+wEAHz/Ugc0drKCvYUCjlYKSCSlZ6xUxe5L97H1fBxmD/JDUxfryl9QS3Zfui8+9nWy1ONIiIiIiIiIiIiIqLox6UHVThAEfH0gAt8ejBCXXV4wCGYmUoz6/gQu3E0r9ZrtU3vAzc4M99PysO18HH4+HiOuWzm2A4a0ckWuUoUh3xwT+3S8uemczj7cbM0wY6AfRnZwr9Zmo9Zmcqyb2Amv/BwGB0sFQt4PgqmJDDGLhwIALsam4bOd1+Bhb4FezRxxKzkbyw4UH/tnw1ohOikbJ6NTcPW+ZtaFvYUcpiYyxGfk4X56HgBg2YEILDsQAY8G5pjapwlauduilbutuJ/U7AIMXxmKDp72WPBsy3LLfAHAyFXHS83w6ObrAHtLBTp62es0cp+y8dzDL9cct6kJTOVSJGcVYNYgP0glEggQsPdKAqITs2Aql8HKVIaYon8PE6kEYwM8McDfFYFNHfFG0b9PAwsFvhjVpsLPePel+zgakYyPhraAAEClEmBrUf7xVdWZmAfiuADAx5FJDyIiIiIiIiIiImPCpAdVu4PXEnUSHrMG+cHKVBNqW9/ojsYf7BLXXf10ECwUxWHobG2Gth52eLtfU/wUegvPtnNHE2dNfw8LhQl+fbUr1hy7hXWhun07Ds7sDd+iPiA1oW9zF2x5oxt8naxgaiLTWdemkR3+eL2bzrJ3+zd7pP0+3PMEAO4+yMWcrZcAaC7Kvz/YD4NauuKp5SGIS8tFTEoOtp6Pw4gO7lgyqq1Y5gsAHmQXwNREWirh8U6/pmKz7rUTOqHdp/srHVtmfiEyNa0vsGTvjTLXJ2cVPy9UC1h/4jbWn7its93vYXfxe9hdAMDbfZvg8r0MuNiYorGjFS7EpmHnxeKZF7+evgMTqQSFak3vlZ5NHXEsIhkAYGsux9Ln28LNzhwOlgrYWyogl0nLHHtWfiF2XbyPLedicerWgzK32TEtsFqTY0RERERERERERKR/THqQjkKVGuGxaWjnYa9zMf1RLd1/Uyfh0dzVGq/1aiw+l0ol+PetQByLSMbYrp46CY+SGlgqMHOgX6nlbnbm+Phpf/Rs5oiXfzoDAJg5oFmNJjy0OnpVf++NER0aobmrDe48yEEHLzu8+9sFFKoEnI7RXKi/lZyNKRvPoXczJ8Sl5eq8duu5OGw9FwdA83l5O1jg3J00nW12vh0I/4Y2Ohf37SwUiFk8FGk5BeJskwYWmpJe4bFpmLv1Uqn3AoCujRvAzc4c4XfTEJWUjdd7N0ZKVgH+OqspL9bc1RqmchnCy5jJo/XtochKPxNtwgOAmPAAgPRcJSatLy4pJpdJ0M3XEa0aWiM1UYKYw9Ho7OMAWws5hn4bUu7+m7ta49vR7dHMgEpuERERERERERERUfVg0qOOWrz7Ov69eA/NXKzh39AGrRvZom0jO7jYmFb57vV7abnovviQ+PyXV7qga2MHAMDVexm4mS6Bxc0k3EnNx94r8VCrBXg2sIBcJsWt5GxEJ2cjOStffP3Juf3gamtW6n0eLttUFUF+zvjj9W4oKFSjRxOHJ9qXvvm72cDfzQYAsPnVrgAAtVrAutBb+GznNQDAkZtJADTJjV1v98RvZ+7olNB6kF2AB9kFOvt9pq0bWrqV/znbFSU6SpZ46tXMCaFz+j7W+L96rq34WKlSY23ILfwcGoMHOQWY/3RL+DpZ4vDNJOy6dB9JmfnIKVABAFxtzJCSnY82jewwa5AfHK1McTMhEzZmcqgFATfiM3Hq1gMcuJYg7t+jgTkycguRnquEUiXg6M0kHL2ZBEAGREUC0E2qtHK3wd0HuRjVsRH8G9rAzkKOnk2doDApe4YIERERERERERER1W1MetQR1+5nYMGOK5BJJfCwt8BvZzTlgmJTc3GoRONsE6kELd1t4ediBS8HSzR1toKngwWaOVuX2Zj6/J1UDF95HL2aOeH6fd2SSOPXnX5oaxlw9bzOkrDbpZuNN3ayxM63esJcISu1rjp18an+mReGQiqVYHLPxpjcszEW7LiCn0JjAADju3nB1dYM7/ZvhuHt3RGVlIXDN5KQkl2AozeT8GafJth48jZMZBLMHlx6pkxNk8ukmNLbF1N6++osD2jsgPcHN6/09dpSZoAmAfNqiVlCJeUWqHA3NQdHbybhRnwGztyIRUyWJr4VJlIUFKoxor07lr7QruoHQ0RERERERERERHUOkx51RGZeIU5Ga3sTpIjLJ3b3Rkp2Ac7GPMC99DwUqgWE300rVWKotbst5gxpjgCfBjAp0Qdh+MrjAFB0t3zFbOQCrCzMca+o8fa4rl6QSoDsAhXkMin83WzQwtUanbyNNxmhD/OG+mNo64bIU6oR2NRRXO7lYAkvB0v0be6is/0bfXwf3oXRMVfI0MzFGs1crKFUKrFr120EBwdDkMg4i4OIiIiIiIiIiKgeY9KjjvB1ssTy0e2RkafEjfhMJGXmo0cTR7zU1UvcJiu/EBEJmYhMzEJMSjZiknNw9X4GbiVn41JcOsauOQUAcLY2hVwmhaWp7kyMAJ8GmDOkOdp72kMQBFy7nwkTmQRKlRpedqY4uH8vgoN7QS6X1+qx13dSqYSJpEfEhAcREREREREREVH9xqRHHeFgZYqn27pVuI2VqQnae9qjvae9zvKEjDx8uO2y2BshMTNfZ31LNxtseaM7zOTFSRCJRCL2mQAApVL5pIdARERERERERERERFSjmPSoB1xszLBmQiekZOUjISMf99NzkadUQy0I8HawhL+bDWRl9PsgIiIiIiIiIiIiIqpLmPSoRxysTOFgZaozg4OIiIiIiIiIiIiIyFiwAD4RERERERERERERERkFJj2IiIiIiIiIiIiIiMgoMOlBRERERERERERERERGgUkPIiIiIiIiIiIiIiIyCkx6EBERERERERERERGRUWDSg4iIiIiIiIiIiIiIjAKTHkREREREREREREREZBSY9CAiIiIiIiIiIiIiIqPApAcRERERERERERERERkFJj2IiIiIiIiIiIiIiMgoMOlBRERERERERERERERGgUkPIiIiIiIiIiIiIiIyCkx6EBERERERERERERGRUWDSg4iIiIiIiIiIiIiIjAKTHkREREREREREREREZBRM9D2AhwmCAADIyMjQ80ioJKVSiZycHGRkZEAul+t7OEQixiYZKsYmGSrGJhkqxiYZKsYmGSrGJhkyxicZKsZm3aXNF2jzBxUxuKRHZmYmAMDDw0PPIyEiIiIiIiIiIiIiIkORmZkJW1vbCreRCI+SGqlFarUa9+7dg7W1NSQSib6HQ0UyMjLg4eGBu3fvwsbGRt/DIRIxNslQMTbJUDE2yVAxNslQMTbJUDE2yZAxPslQMTbrLkEQkJmZCTc3N0ilFXftMLiZHlKpFI0aNdL3MKgcNjY2/EIgg8TYJEPF2CRDxdgkQ8XYJEPF2CRDxdgkQ8b4JEPF2KybKpvhocVG5kREREREREREREREZBSY9CAiIiIiIiIiIiIiIqPApAc9ElNTU3zyyScwNTXV91CIdDA2yVAxNslQMTbJUDE2yVAxNslQMTbJkDE+yVAxNusHg2tkTkREREREREREREREVBWc6UFEREREREREREREREaBSQ8iIiIiIiIiIiIiIjIKTHoQEREREREREREREZFRYNKDiIiIiIiIiIiIiIiMApMeRERERERERERERERkFJj0ICKDFRsbi/v37wMABEHQ82iIiuXm5up7CERlun37NmJjYwEAKpVKz6MhKpaUlIS0tDSo1WoAEP9LpG95eXn6HgJRmSIiIvDVV1/hxo0b+h4KUSk8HyJDxfMh0mLSox5TKpX46aefsG3bNly/fl3fwyESKZVKvPbaawgICMD69esBABKJRM+jItLE5htvvIERI0Zg/PjxOHnyJBNyZDD+/vtv+Pj4YNq0aQAAmUym5xERab43p0yZgl69eiE4OBivvPIKVCoVpFKehpB+FRQUYPr06Rg7dizGjx+PY8eO6XtIRAA0F+mmTp2K1q1b49q1a0hKStL3kIhEPB8iQ8bzISqJZxv11A8//AAXFxesW7cO7777LkaMGIE//vgDAO+8I/26e/cuevTogcuXL+PPP//EmDFjIAgC/5AivYuPj0dAQAAuXryIp59+GhcvXsSUKVOwZMkSAPzuJP07ffo0AgICcPfuXWzZsgUA724i/YqMjETnzp1x48YNrFy5EsHBwThx4oT4vUmkL9u3b0eTJk1w4cIF9OnTBxcuXMDcuXPF704ifVq6dCnCw8Nx5MgRrF27FoGBgQA48530j+dDZOh4PkQlMelRzxQWFmLZsmX47rvvsGLFChw7dgw7duxA//798eWXX0KtVvPOO9Krffv2wdbWFsePH0f37t0hlUpRWFjImR6kd6GhoSgoKMAff/yBN998E0eOHMHw4cPxySef4MqVK5BKpTwZJb3QnmCmp6ejc+fOaN++Pb755hsolUrIZDLGJenN7t27YWVlhR07diAoKAizZ8+Gl5cXbG1t9T00qseioqKwceNGvPLKK/jvv//w1ltv4eDBg1AoFIiIiND38KgeEwQB2dnZ2LZtGyZOnIiAgACcOHECq1evRkhICLKzs/U9RKrneD5EhornQ1QWXt2uRwRBgFKpRFZWFkaNGoUXX3wRANCmTRu0bNkSMpmMU2dJL0rO5AgLC0Pbtm2RmpqK559/HgMGDECXLl3w2muvIT4+Xs8jpfpI+wdUUlISUlNT4e7uDgCwtbXF66+/jsDAQLz++usAWIaN9EN7ghkZGYmXXnoJw4cPR0pKClatWgVAU4aAqDZpvzeTk5MRHx8PKysrAEBCQgJSU1NhaWnJ0qpU67R/axYUFKBNmzaYMGECAM0doE5OTpDJZIiKitLnEKmek0gkuHfvHqKjozF48GDMnDkTI0eOxPr16zFy5EgMHz4cGRkZ+h4m1UM8HyJDx/MhKguTHvVAVFQU1Go1JBIJzMzMMHbsWHz88cc6WXg7OztkZ2fD2dlZz6Ol+iQqKgqCIEAikYh/HF2+fBkAsGzZMgDAihUrMGXKFOzYsQOffPIJ4uLiAHB6N9Ws1atXY/PmzYiMjBRnv8lkMri6uurU/HZ1dcWcOXNw5swZ7N+/HwBjk2pWydjUUqlUkEgkkMlkyM/PR9euXTF8+HCsXbsWL730EpYuXYr8/Hw9jprqA21sRkREiN+b7dq1Q25uLgYPHoyXXnoJvr6+MDU1xbJly9C3b1+sW7cOAL83qWadPn0aQPFFuxYtWuDjjz+Gj48PAM3ve0FBAXJyctCtWze9jZPqn4djEwAaNWoEBwcHfPTRR7h9+zYOHjyIf/75BwcPHsTZs2fx2Wef8TuTasVff/2FAwcO4P79+zwfIoNSMja1eD5EZWHSw4itW7cOXl5eeOGFF9C9e3ds3LgRAMQ/8LWJEADYs2cP2rdvD4lEwgwo1biSsdmtWzds2rQJBQUFAIBhw4Zh2bJl+O233zB79mz069cPr7/+OhYtWoTQ0FCcP38eAO8goZqxd+9eODs7Y9WqVfjggw8QHByMpUuXAgC6du2K3NxcHD9+XIxXAGjVqhUGDx6MDRs2AGBsUs0oKza1yWGZTIYHDx7g3LlzCAgIgIODA3JycnDz5k1s3boVAwYMgKmpqX4PgIzWw7E5dOhQ8Xvz2WefxY4dOzB27FicPn0av/76K0JCQnDo0CFMmzYNs2fPZglLqjHbt2+Hu7s7goODERMTA5lMplPXu+RFuYKCAiQlJaFly5b6GCrVMw/HplQqFWMzLy8P3bp1w9atWyEIAvz8/GBvb49WrVphyZIlWL16NfLy8vR8BGTMNmzYABcXFyxZsgRjxozBc889h61btwIAOnXqhLy8PJ4PkV6UFZvbt28HoDkfSk1N5fkQ6WDSw0h98803WLRoEb788kt88803GDx4MCZOnIhVq1aJSQ2JRAKVSoXCwkKEh4ejZ8+eAAC5XC7uh42oqLqVFZvjx4/HmjVroFKpMGTIELRq1QoFBQVwc3MTXzdx4kSkpaUhNjZWj6MnY7dmzRoMHz4c58+fx/79+/H666/jvffew44dO9C6dWv06dMHW7ZswfHjx8XXuLi4QC6Xsx8S1aiyYnPGjBnYuXOn+Fves2dPbN26FW3atMGGDRvQv39/eHl5ib/lbOJHNaG8781///0XANChQwekpqbC3t4eI0eOhCAIsLOzQ8+ePZGXlyfe6UxUnTZt2oTPP/8cvXr1QosWLbB48WIAmosiWiUvyoWGhiIrKwvNmjUTlyUkJNTegKneqCw27e3t0a9fPygUCqhUKp3qDK1atYJCocC1a9f0Nn4yXoWFheK5+ueff45jx45h+/bt8PX1xZo1a5Cbm4v27dsjMDAQW7du5fkQ1ZqKYnP16tXiDI7c3Fz07t2b50Mk4jeSEcrJycHOnTsxduxYcZbH/Pnz0aNHD3z55ZfYtWuXuK1MJkNycjKSkpLQu3dvAMCFCxcwceJEAOCPFlWr8mIzMDAQixcvxp49e+Dv748xY8bg7t27CA0NFV+blJSEBg0awNraWo9HQMZIeyJ569YtHDhwACNGjAAANG3aFDNnzsTo0aMxc+ZMJCcnY/78+SgsLMTq1avFUmuA5g+sBg0a6GX8ZLweJTbfe+89JCQkQKlU4q+//sL48ePRq1cvRERE4IsvvoC3tzdmzJgBQPdiH9GTeJTYnD17Nm7dugVAc+eys7MzMjIyxAvNISEh6NixI9q1a6eXYyDjpL2Y0aRJE/Tr1w9ffPEFnnnmGRw+fBiHDx/W2aakbdu2oU+fPrC3t8f58+cRFBSEN954gzeAUbV5lNjU3jn/zDPPYNy4cfjnn39w4MAB8fc7JCQE7dq14/cm1Yjs7GwkJSVhwoQJePnll6FQKNC9e3f4+/sjIyNDjM8FCxZAqVTyfIhqTWWxqb2xW6VS4Y8//uD5EIl4RdsImZiY4OzZs/Dz8wMAMevp7OwMpVKJLVu2ICkpSTzpPHDgABo3bgw3NzdMmjQJXbp0QVpaGtRqNWsxUrWqKDZVKhV+++03pKWlYerUqXjmmWcwc+ZMzJ8/HxcuXMDcuXNhYmKCvn376vMQyIhERESIPWUAoGHDhlAoFLhz5w6A4hPPlStXIi4uDmvWrIGzszPmzJmD2NhY9OjRA0uXLsX48eMRFhYmXvQjelKPE5u3b9/GL7/8And3d2zatAkhISFYsWIF7Ozs4O/vj2HDhuHZZ5+FIAj8Tacn9rixuWXLFgCaet8JCQkYNWoUtmzZgkmTJuHrr7/GmDFjYGFhoZ+DIaOijU3txYyAgAAsXLgQnp6eCA4Ohp+fH5YsWQJAc8Gj5PehWq1GfHw8OnTogLfeegudOnWCp6cnfv/9d94ARk/scWJTO7vD0tISb7/9NsaNG4dhw4Zh5MiRGDNmDD7//HOMGjVKZ/YH0ZPQxiegaUo+atQovPfee5BKpWLS18PDA9nZ2TA3Nweg+U3/4IMPeD5ENepxYlOhUIjPtaVUeT5EAACB6rQ//vhDmDx5srBs2TLh4sWL4vLRo0cLzZs3F2JjYwVBEISNGzcKQUFBwuTJk4VmzZoJ58+fFwRBENRqtfDiiy8KMplMsLa2Fjp16iRcu3ZNH4dCRqYqsdm0aVMxNgsKCoS3335b6Nixo+Dn5yf07t1biIyM1MehkJH5/fffBW9vb8HPz0/o0qWLsHbtWkEQBCErK0sYP368MGjQICE/P18QBE0cCoIgzJ07V/D09BT3ERsbK7z22mvCsGHDhODgYOH69eu1fyBkdKojNrXUarUgCIJQWFhYS6MnY1Ydsblx40ahV69eQmBgIL83qdqUF5uCUPw9KAiCsG7dOsHf319Yt26dIAiCoFKpxHV37twRJBKJIJFIhO7duwtXr16tvQMgo1XV2FQqlTr7+f7774VZs2YJL7/8Mr83qdo8HJ9r1qzRWV/yO3LMmDHCxIkTBUEQxN96QeD5ENWMqsam9u/Pkng+REx61FHJycnCqFGjBFdXV2HKlClCYGCg4O7uLqxfv14QBEG4efOm0LhxY6Fx48aCm5ubYGFhIWzZskUQBEEwMTERdu7cKQiC5gvjxRdfFLy9vcVlRE+iumJTKysri8kOqjb79u0TvL29he+++07Ys2ePMGPGDMHExERYvXq1IAiC8PPPPwvt27cXfvjhB0EQik88z5w5Izg5OQlnzpzR2V9ubm7tHgAZrSeNzbCwML2NnYzbk8bmqVOnxH0plUohPj6+9g+CjFJZsSmXy4XVq1cLOTk5giAUx2NsbKwwadIkoXPnzkJmZqYgCMUX7y5fviy88MILwv79+/VzIGR0njQ2y7p4R1RdKopP7bmNWq0W1Gq1kJubK7Rp00bYsGFDufvj+RBVl+qKTSY5SMtE3zNNqGr+++8/3LlzB2FhYXB3dwcAjBo1CvPnz4eNjQ2GDRuGI0eO4OrVq4iPj8fo0aMhl8uRlJQET09PZGdnA9D07Pj000/RtGlTfR4OGZEnjc2cnByd/VlaWsLX11cfh0JGRCgqx3LixAk4ODjg1VdfhVwux6BBg5CXl4dVq1bBy8sLI0aMwP79+7F+/XoMHDgQ3t7eAIDo6GjI5XI4ODjo7NfMzEwPR0PGpLpikzWUqbpVV2w6OTmJ+zQxMYGLi4uejoiMRWWxuXr1ajg6OmL48OEwMdGc7rq7u2P48OEIDw/HV199hREjRuCDDz7AqlWr0LJlS/z22296PioyBtUVmx9++CFWrlwJDw8PPR8RGZPHiU9tGcsHDx4gIyMDAQEBADQlh1atWoWlS5eK++X5ED2p6o5N9u0gLRYpraM2b96MRo0awd3dHVlZWQA0Dc9iYmKwfPlyJCYmolGjRujfvz/Gjx8PuVwOQHNBWqFQoGfPnuK+mPCg6vSksRkYGKjP4ZOR0v5xdPXqVfj6+kIul4sNzz777DNYWlpi48aNkMlkmDp1KqRSKV588UUcP34cd+7cwa5du9CxY0e4urrq8zDICDE2yVAxNslQVRabZmZm+PvvvxEfHw+guIF0UFAQunTpgk8//RQdO3ZEYWEhnJ2d9XMQZJSqKzaVSiVjk6rd48YnoOn/6uHhgYYNG+Kdd96Bv78/bt++DaVSyd4IVG0Ym1RTmPSoA44ePYq9e/eisLBQXNa0aVNcuXIFAGBlZQUAuHbtGvr27Yu8vDz8/fffADQzOZKSknD9+nWsWLEC06dPx4gRI+Do6MgvAnpijE0yVPv378fbb7+NZcuW4fTp0+Lyfv36Yffu3VCpVOIfU/b29hg/fjxOnDiB8+fPo1u3blizZg0KCwvxyiuvoEuXLrh48SKWLFkiNvAjqirGJhkqxiYZqqrG5o0bNwBoGpdnZ2dj9erV+OGHH9C7d2+cO3cOe/bsgampqb4Oi4wAY5MMWVXj8/r16wA0d9//+++/uHz5Mry9vXHw4EGcOHECW7ZsgVwuFy9UEz0uxibVGr0U1aJHkpSUJIwfP16QSCRC27ZthVu3bonroqKiBCcnJ6FXr17Cl19+KXTr1k3w8fERDh48KLRt21aYN2+euO3Zs2eFYcOGCT4+PhXWYiR6VIxNMlT37t0TnnrqKcHZ2VkYO3as0Lp1a8HW1lasKX/jxg3B3d1djMOSzfhcXV2FpUuXis8zMzOFW7duCSdPnqzdgyCjxNgkQ8XYJEP1pLH59ddfi8+vXLkiBAQECL/88kutHgMZJ8YmGbLqis/s7GzhqaeeEho1aiT89ttvtX4cZHwYm1TbmPQwUEqlUli5cqUwaNAg4ffffxcsLCyERYsWCXl5eeI2ISEhwuTJk4UOHToI06ZNE5KSkgRBEIRx48YJI0eO1NnfuXPnanX8ZLwYm2SosrOzhQkTJggvvPCCEB0dLS7v0qWLMHHiREEQBCEjI0P47LPPBHNzc+HOnTuCIGiaoQmCIPTu3VuYPHmy+DrtcqInxdgkQ8XYJENV3bFJVF0Ym2TIqjs+w8LCanH0ZMwYm6QPLG9loExMTNChQwdMnToVzz//PN5//30sXboU165dE7fp0aMHfvzxR5w4cQLLly+Ho6MjEhMTcf78ebRv3x4AxLJD2udET4qxSYbKwsICpqammDhxInx8fMQYCw4OxrVr1yAIAqytrTFmzBh06NABzz//PG7fvg2JRII7d+4gMTERw4YNE/fHabFUXRibZKgYm2Soqjs2iaoLY5MMWXXHZ8eOHfV0JGRsGJukDxJBYPF8QyUIgs7Jo7u7O5566il89dVXsLa21lmfl5cHmUyGNWvW4Mcff8T69evRunVrfQ2djBxjkwyVUqmEXC4HAKjVakilUowdOxaWlpZYvXq1uF1cXBz69OmDwsJCdOrUCcePH0fz5s2xefNmuLi46Gv4ZMQYm2SoGJtkqBibZKgYm2TIGJ9kqBibVNuY9KgDCgoKoFAo8Oeff2LMmDHYtWsXBgwYIK6Pi4vDP//8g3Xr1iE6OhorVqzA6NGj9Thiqi8Ym1QXBAYG4tVXX8WECROgVqsBAFKpFJGRkTh79ixOnTqFtm3bYsKECXoeKdU3jE0yVIxNMlSMTTJUjE0yZIxPMlSMTapJTHrUMd27d4elpSU2bdoEZ2dnJCUlwcnJCb/++ivu3buHmTNn6nuIVE8xNskQRUdHo3v37ti5c6c4BVabrCPSJ8YmGSrGJhkqxiYZKsYmGTLGJxkqxibVNBN9D4AeTWFhIUxMTPDjjz+ibdu2+O233xAVFYWQkBCsX7+ed8+T3jA2yRBpS6yFhITAyspK/CNqwYIFiI+Px4IFC+Ds7KznUVJ9xNgkQ8XYJEPF2CRDxdgkQ8b4JEPF2KTawqRHHWFiovmnatmyJTp06IB3330Xnp6e+OGHH9CqVSs9j47qM8YmGSJtT5nTp09j5MiR2L9/P1577TXk5ORgw4YN/COK9IaxSYaKsUmGirFJhoqxSYaM8UmGirFJtYXlreqQqKgoDBs2DNHR0fj2228xadIkfQ+JCABjkwxTXl4eWrdujaioKCgUCixYsADvv/++vodFxNgkg8XYJEPF2CRDxdgkQ8b4JEPF2KTawJkedYhMJsPIkSPx/vvvw9zcXN/DIRIxNskQmZmZwdvbGwMGDMDSpUthZmam7yERAWBskuFibJKhYmySoWJskiFjfJKhYmxSbeBMDyIiMloqlQoymUzfwyAqhbFJhoqxSYaKsUmGirFJhozxSYaKsUk1jUkPIiIiIiIiIiIiIiIyClJ9D4CIiIiIiIiIiIiIiKg6MOlBRERERERERERERERGgUkPIiIiIiIiIiIiIiIyCkx6EBERERERERERERGRUWDSg4iIiIiIiIiIiIiIjAKTHkREREREREREREREZBSY9CAiIiIiIr3o06cP3n33XX0Pg4iIiIiIjAiTHkREREREZPAOHz4MiUSCtLQ0fQ+FiIiIiIgMGJMeRERERERERERERERkFJj0ICIiIiKiGpednY3x48fDysoKDRs2xP/+9z+d9Rs2bECnTp1gbW0NV1dXjBkzBomJiQCAmJgYBAUFAQDs7e0hkUgwceJEAIBarcaiRYvg4+MDc3NztG3bFn/99VetHhsRERERERkOJj2IiIiIiKjGzZo1C0eOHMHff/+Nffv24fDhwzh37py4XqlUYuHChQgPD8f27dsRExMjJjY8PDywZcsWAMCNGzdw//59fPPNNwCARYsW4ZdffsH333+PK1euYPr06XjppZdw5MiRWj9GIiIiIiLSP4kgCIK+B0FERERERMYrKysLDg4O2LhxI5577jkAwIMHD9CoUSO89tprWLZsWanXhIWFoXPnzsjMzISVlRUOHz6MoKAgpKamws7ODgCQn5+PBg0a4MCBA+jWrZv42smTJyMnJwebN2+ujcMjIiIiIiIDYqLvARARERERkXGLiopCQUEBAgICxGUNGjSAn5+f+Pzs2bOYP38+wsPDkZqaCrVaDQC4c+cO/P39y9xvZGQkcnJyMGDAAJ3lBQUFaN++fQ0cCRERERERGTomPYiIiIiISK+ys7MxaNAgDBo0CJs2bYKTkxPu3LmDQYMGoaCgoNzXZWVlAQB27twJd3d3nXWmpqY1OmYiIiIiIjJMTHoQEREREVGN8vX1hVwux6lTp+Dp6QkASE1Nxc2bN9G7d29cv34dKSkpWLx4MTw8PABoyluVpFAoAAAqlUpc5u/vD1NTU9y5cwe9e/eupaMhIiIiIiJDxqQHERERERHVKCsrK0yaNAmzZs2Cg4MDnJ2d8eGHH0IqlQIAPD09oVAosHz5ckyZMgWXL1/GwoULdfbh5eUFiUSCf//9F8HBwTA3N4e1tTXee+89TJ8+HWq1GoGBgUhPT0doaChsbGwwYcIEfRwuERERERHpkVTfAyAiIiIiIuO3ZMkS9OzZE08//TT69++PwMBAdOzYEQDg5OSEn3/+GX/++Sf8/f2xePFifPXVVzqvd3d3x4IFCzBnzhy4uLhg2rRpAICFCxdi3rx5WLRoEVq0aIHBgwdj586d8PHxqfVjJCIiIiIi/ZMIgiDoexBERERERERERERERERPijM9iIiIiIiIiIiIiIjIKDDpQURERERERERERERERoFJDyIiIiIiIiIiIiIiMgpMehARERERERERERERkVFg0oOIiIiIiIiIiIiIiIwCkx5ERERERERERERERGQUmPQgIiIiIiIiIiIiIiKjwKQHEREREREREREREREZBSY9iIiIiIiIiIiIiIjIKDDpQURERERERERERERERoFJDyIiIiIiIiIiIiIiMgpMehARERERERERERERkVH4f4ewlYA2Z/eFAAAAAElFTkSuQmCC"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 77
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-12-27T06:47:22.083870Z",
"start_time": "2024-12-27T06:47:21.428379Z"
}
},
"cell_type": "code",
"source": [
"# 以close列为纵坐标date列为横坐标计算macd\n",
"df[\"macd\"] = df[\"close\"].ewm(span=12).mean() - df[\"close\"].ewm(span=26).mean()\n",
"df[\"signal\"] = df[\"macd\"].ewm(span=9).mean()\n",
"df[\"macd_hist\"] = df[\"macd\"] - df[\"signal\"]\n",
"# 过滤出2024-10-15至今的数据\n",
"df_show = df.loc[\"2024-10-15\":].copy()\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.figure(figsize=(10, 4)) # 设置图表大小\n",
"plt.plot(df_show['macd'], label='MACD', color='blue') # 绘制MACD线\n",
"plt.plot(df_show['signal'], label='Signal', color='red') # 绘制信号线\n",
"\n",
"# 绘制MACD柱状图\n",
"macd_diff = df_show['macd'] - df_show['signal']\n",
"plt.bar(df_show.index, macd_diff, width=0.5, color='gray', alpha=0.5) # 绘制MACD柱状图\n",
"\n",
"# 美化图表\n",
"plt.title('MACD Indicator') # 添加标题\n",
"plt.xlabel('Date') # 添加X轴标签\n",
"plt.ylabel('Value') # 添加Y轴标签\n",
"plt.legend() # 显示图例\n",
"plt.grid(True) # 显示网格线\n",
"\n",
"# 显示图表\n",
"plt.xticks(rotation=45)\n",
"plt.tight_layout()\n",
"plt.show()"
],
"id": "ec97d7f8b8538d9d",
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
],
"image/png": "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"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 78
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2024-12-27T06:54:31.748770Z",
"start_time": "2024-12-27T06:54:30.330581Z"
}
},
"cell_type": "code",
"source": [
"# 创建一个新的DataFrame df_temp来存储按月聚合的数据\n",
"df_temp = df.resample('ME').apply(lambda x: x.min())\n",
"\n",
"# 计算MACD柱状图\n",
"df['macd_histogram'] = df['macd'] - df['signal']\n",
"\n",
"# 找出按月聚合后的收盘价的局部最小值\n",
"df_temp['Price_Monthly_Low'] = df_temp['close']\n",
"\n",
"# 找出按月聚合后的MACD的局部最小值\n",
"df_temp['MACD_Monthly_Low'] = df_temp['macd']\n",
"\n",
"# 底背离条件收盘价创新低MACD未创新低\n",
"# 由于df_temp是按月聚合的我们需要将df_temp的索引和df的索引对齐\n",
"df_temp = df_temp.reindex(df.index)\n",
"\n",
"# 在df中添加底背离标记\n",
"df['Monthly_Divergence'] = (df['close'] < df_temp['Price_Monthly_Low']) & (df['macd'] > df_temp['MACD_Monthly_Low'])\n",
"df_show = df.loc[\"2024-01-01\":].copy()\n",
"\n",
"# 绘制MACD和信号线\n",
"plt.figure(figsize=(14, 7))\n",
"\n",
"plt.subplot(2, 1, 1)\n",
"plt.plot(df_show.index, df_show['macd'], label='MACD (DEA)', color='blue')\n",
"plt.plot(df_show.index, df_show['signal'], label='Signal (DIF)', color='red', linestyle='--')\n",
"plt.bar(df_show.index, df_show['macd_histogram'], width=0.5, color='gray', alpha=0.5, label='MACD Histogram')\n",
"plt.title('MACD and Signal Line')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"\n",
"# 绘制价格和底背离点\n",
"plt.subplot(2, 1, 2)\n",
"plt.plot(df_show.index, df['close'], label='Price', color='green')\n",
"# 标记底背离点\n",
"plt.scatter(df_show[df_show['Monthly_Divergence'] == True].index, df_show['close'][df_show['Monthly_Divergence'] == True], color='red', label='Monthly Divergence Points', zorder=5)\n",
"plt.title('Price and Monthly Divergence Points')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
],
"id": "65a893f9baf0f115",
"outputs": [
{
"ename": "ValueError",
"evalue": "x and y must have same first dimension, but have shapes (240,) and (8064,)",
"output_type": "error",
"traceback": [
"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[0;31mValueError\u001B[0m Traceback (most recent call last)",
"Cell \u001B[0;32mIn[84], line 34\u001B[0m\n\u001B[1;32m 32\u001B[0m \u001B[38;5;66;03m# 绘制价格和底背离点\u001B[39;00m\n\u001B[1;32m 33\u001B[0m plt\u001B[38;5;241m.\u001B[39msubplot(\u001B[38;5;241m2\u001B[39m, \u001B[38;5;241m1\u001B[39m, \u001B[38;5;241m2\u001B[39m)\n\u001B[0;32m---> 34\u001B[0m \u001B[43mplt\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mplot\u001B[49m\u001B[43m(\u001B[49m\u001B[43mdf_show\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mindex\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdf\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mclose\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mlabel\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mPrice\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mcolor\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mgreen\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[1;32m 35\u001B[0m \u001B[38;5;66;03m# 标记底背离点\u001B[39;00m\n\u001B[1;32m 36\u001B[0m plt\u001B[38;5;241m.\u001B[39mscatter(df_show[df_show[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mMonthly_Divergence\u001B[39m\u001B[38;5;124m'\u001B[39m] \u001B[38;5;241m==\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m]\u001B[38;5;241m.\u001B[39mindex, df_show[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mclose\u001B[39m\u001B[38;5;124m'\u001B[39m][df_show[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mMonthly_Divergence\u001B[39m\u001B[38;5;124m'\u001B[39m] \u001B[38;5;241m==\u001B[39m \u001B[38;5;28;01mTrue\u001B[39;00m], color\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mred\u001B[39m\u001B[38;5;124m'\u001B[39m, label\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mMonthly Divergence Points\u001B[39m\u001B[38;5;124m'\u001B[39m, zorder\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m5\u001B[39m)\n",
"File \u001B[0;32m~/Library/Caches/pypoetry/virtualenvs/stock-leanrning-u8Xld41Q-py3.12/lib/python3.12/site-packages/matplotlib/pyplot.py:3829\u001B[0m, in \u001B[0;36mplot\u001B[0;34m(scalex, scaley, data, *args, **kwargs)\u001B[0m\n\u001B[1;32m 3821\u001B[0m \u001B[38;5;129m@_copy_docstring_and_deprecators\u001B[39m(Axes\u001B[38;5;241m.\u001B[39mplot)\n\u001B[1;32m 3822\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mplot\u001B[39m(\n\u001B[1;32m 3823\u001B[0m \u001B[38;5;241m*\u001B[39margs: \u001B[38;5;28mfloat\u001B[39m \u001B[38;5;241m|\u001B[39m ArrayLike \u001B[38;5;241m|\u001B[39m \u001B[38;5;28mstr\u001B[39m,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 3827\u001B[0m \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs,\n\u001B[1;32m 3828\u001B[0m ) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m \u001B[38;5;28mlist\u001B[39m[Line2D]:\n\u001B[0;32m-> 3829\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mgca\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mplot\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 3830\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43margs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3831\u001B[0m \u001B[43m \u001B[49m\u001B[43mscalex\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mscalex\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3832\u001B[0m \u001B[43m \u001B[49m\u001B[43mscaley\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mscaley\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3833\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m{\u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mdata\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m:\u001B[49m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m}\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mif\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mdata\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;129;43;01mis\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[38;5;129;43;01mnot\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mNone\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[38;5;28;43;01melse\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43m{\u001B[49m\u001B[43m}\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3834\u001B[0m \u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mkwargs\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3835\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n",
"File \u001B[0;32m~/Library/Caches/pypoetry/virtualenvs/stock-leanrning-u8Xld41Q-py3.12/lib/python3.12/site-packages/matplotlib/axes/_axes.py:1777\u001B[0m, in \u001B[0;36mAxes.plot\u001B[0;34m(self, scalex, scaley, data, *args, **kwargs)\u001B[0m\n\u001B[1;32m 1534\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m 1535\u001B[0m \u001B[38;5;124;03mPlot y versus x as lines and/or markers.\u001B[39;00m\n\u001B[1;32m 1536\u001B[0m \n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 1774\u001B[0m \u001B[38;5;124;03m(``'green'``) or hex strings (``'#008000'``).\u001B[39;00m\n\u001B[1;32m 1775\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[1;32m 1776\u001B[0m kwargs \u001B[38;5;241m=\u001B[39m cbook\u001B[38;5;241m.\u001B[39mnormalize_kwargs(kwargs, mlines\u001B[38;5;241m.\u001B[39mLine2D)\n\u001B[0;32m-> 1777\u001B[0m lines \u001B[38;5;241m=\u001B[39m [\u001B[38;5;241m*\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_get_lines(\u001B[38;5;28mself\u001B[39m, \u001B[38;5;241m*\u001B[39margs, data\u001B[38;5;241m=\u001B[39mdata, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)]\n\u001B[1;32m 1778\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m line \u001B[38;5;129;01min\u001B[39;00m lines:\n\u001B[1;32m 1779\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39madd_line(line)\n",
"File \u001B[0;32m~/Library/Caches/pypoetry/virtualenvs/stock-leanrning-u8Xld41Q-py3.12/lib/python3.12/site-packages/matplotlib/axes/_base.py:297\u001B[0m, in \u001B[0;36m_process_plot_var_args.__call__\u001B[0;34m(self, axes, data, return_kwargs, *args, **kwargs)\u001B[0m\n\u001B[1;32m 295\u001B[0m this \u001B[38;5;241m+\u001B[39m\u001B[38;5;241m=\u001B[39m args[\u001B[38;5;241m0\u001B[39m],\n\u001B[1;32m 296\u001B[0m args \u001B[38;5;241m=\u001B[39m args[\u001B[38;5;241m1\u001B[39m:]\n\u001B[0;32m--> 297\u001B[0m \u001B[38;5;28;01myield from\u001B[39;00m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_plot_args\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 298\u001B[0m \u001B[43m \u001B[49m\u001B[43maxes\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mthis\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mkwargs\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mambiguous_fmt_datakey\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mambiguous_fmt_datakey\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 299\u001B[0m \u001B[43m \u001B[49m\u001B[43mreturn_kwargs\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mreturn_kwargs\u001B[49m\n\u001B[1;32m 300\u001B[0m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n",
"File \u001B[0;32m~/Library/Caches/pypoetry/virtualenvs/stock-leanrning-u8Xld41Q-py3.12/lib/python3.12/site-packages/matplotlib/axes/_base.py:494\u001B[0m, in \u001B[0;36m_process_plot_var_args._plot_args\u001B[0;34m(self, axes, tup, kwargs, return_kwargs, ambiguous_fmt_datakey)\u001B[0m\n\u001B[1;32m 491\u001B[0m axes\u001B[38;5;241m.\u001B[39myaxis\u001B[38;5;241m.\u001B[39mupdate_units(y)\n\u001B[1;32m 493\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m x\u001B[38;5;241m.\u001B[39mshape[\u001B[38;5;241m0\u001B[39m] \u001B[38;5;241m!=\u001B[39m y\u001B[38;5;241m.\u001B[39mshape[\u001B[38;5;241m0\u001B[39m]:\n\u001B[0;32m--> 494\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mx and y must have same first dimension, but \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 495\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhave shapes \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mx\u001B[38;5;241m.\u001B[39mshape\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m and \u001B[39m\u001B[38;5;132;01m{\u001B[39;00my\u001B[38;5;241m.\u001B[39mshape\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 496\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m x\u001B[38;5;241m.\u001B[39mndim \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m2\u001B[39m \u001B[38;5;129;01mor\u001B[39;00m y\u001B[38;5;241m.\u001B[39mndim \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m2\u001B[39m:\n\u001B[1;32m 497\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mx and y can be no greater than 2D, but have \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 498\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mshapes \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mx\u001B[38;5;241m.\u001B[39mshape\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m and \u001B[39m\u001B[38;5;132;01m{\u001B[39;00my\u001B[38;5;241m.\u001B[39mshape\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m)\n",
"\u001B[0;31mValueError\u001B[0m: x and y must have same first dimension, but have shapes (240,) and (8064,)"
]
},
{
"data": {
"text/plain": [
"<Figure size 1400x700 with 2 Axes>"
],
"image/png": "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"
},
"metadata": {},
"output_type": "display_data"
}
],
"execution_count": 84
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}