{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# MODIS\n", "\n", "`wxee` is designed for processing weather data, but it can also be useful for remote sensing data. In this example, we'll look at how `wxee` can work with data from the MODIS sensor, and also get a glimpse of how we can create color composite plots from `xarray` objects." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!pip install wxee" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2021-11-03T01:30:00.768824Z", "start_time": "2021-11-03T01:29:58.263769Z" }, "scrolled": true }, "outputs": [], "source": [ "import ee\n", "import wxee\n", "\n", "ee.Authenticate()\n", "wxee.Initialize() " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Downloading MODIS to xarray\n", "\n", "We'll start by loading 6 months of MODIS Terra 8-day reflectance images and selecting the red, green, blue, and NIR bands." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2021-11-03T01:30:05.098873Z", "start_time": "2021-11-03T01:30:02.720353Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1mMODIS/006/MOD09A1\u001b[0m\n", "\tImages: 23\n", "\tStart date: 2020-03-05 00:00:00 UTC\n", "\tEnd date: 2020-08-28 00:00:00 UTC\n", "\tMean interval: 8.00 days\n" ] } ], "source": [ "ts = wxee.TimeSeries(\"MODIS/006/MOD09A1\").filterDate(\"2020-03\", \"2020-09\")\n", "ts = ts.select([\"sur_refl_b01\", \"sur_refl_b04\", \"sur_refl_b03\", \"sur_refl_b02\"])\n", "\n", "ts.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "MODIS imagery is unbounded, so we need to specify a region when we convert it to an `xarray.Dataset`. We'll select Madagascar from a collection of country polygons." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2021-11-03T01:30:07.136946Z", "start_time": "2021-11-03T01:30:07.132090Z" } }, "outputs": [], "source": [ "countries = ee.FeatureCollection(\"FAO/GAUL_SIMPLIFIED_500m/2015/level0\")\n", "madagascar = countries.filterMetadata(\"ADM0_NAME\", \"equals\", \"Madagascar\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we'll download the `TimeSeries` collection to an `xarray.Dataset`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2021-11-03T01:30:25.229169Z", "start_time": "2021-11-03T01:30:08.180373Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c58417398d084108b451061c07501fec", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Requesting data: 0%| | 0/23 [00:00" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ivlunXdMMVHRt7/ej/PPiulp8nW84l3dQ3zfGEMoWR9yXsUljj8vHPZv/XmENfYXlxvN0qPtYG1+HtSm84j2w2qYwDEl0n0tT+ev5ATbV1TxNKeqBp/O3OJaZrSTDkI+b0Wdn04RvroPFtcd/yVfDSsXtxTZNC4/piufkrpm/V6k1AEiShET16vI1urAH2ZdbW4ptvfJzr9Del1vwr9Jn46EqT6zTII0Nl9l8JnW/CALRf0/tuDiOSWL53PMNaaLf9UyhG71rvjYZY2zWRs+vuPczWxebYnTtty87ni9V8Xy7yMfApnHhC0UbGKrVmt4jt5Wifj//rs3tk5fc97JnLfquF3HfydpjjCHW/Uk+8vT9/LvZM0mKau6ud2VHr/J50Y55WaPhpbae53mkuv5hoFKTuRnH2V6Xj5kfXD6nrb3cqKo3Gu65dTptnfcy99I0JU36pOn1WJv8y57t5Y+msNEV19JsAUiLtpC5wubI337JPy6zbV869pVK1e0xl4lN3T2y858xBlOwfLNxu2IpdOJp2yuVkFQ7GhX3Lmd72KuvR5e19ypiruinKei8a2TRhr/KIzWGas3TtmW2uLn6d23sxiQ7KxrjuT3FYqlVZaHrdNp5X67xmS5bl8KwSpDt+b0eSRIVvnWlPVk0pC5f30fGJgHodTuAnKvj7Pzr7EcYHByg1ZRzfBCG7iw5MzMNwOLiEq3mJgBRv+eec5ImV5nzV4zvVXU3XzPcOpsW7K+i3fFy9szL3e/blSvW0ctF1yjfp1qV+/SjbP0prFtYLtvzPFmLhwbFpxIEAc2WjF+apu7MYIxxe2LUb76sLr36HF1hlS177mTfrv1U68MATExMcOTFowAszJ9jdGIMgNXlVQAO7N3LPfe9AYDDh5/j1MnjANx91x088vXnANizawcArc1VduzYD8ALzz9LUw9cDz74Fi7NzQEy0OtriwDU6kMADA4M8Ja3PgDA5sYyN9xwEwCPPv4C3fY6ACMjgwDs23c3O3dNAHDq5Cm++MWvAfD0U0861fMjaXscrwFVfbeGe2ReZqyBMw6tdU6F+sA4+268RT61MDm9DYChhixCTz35FJfOyJgNj86wbfceAKamJ90h9NmnHgVgZWmWyW27Aeh1+qyvStvSuO8m04233U2wbU3uHUvfn3j4K2yZGZf7js0wPy+f/1//z4d4/vkXAfiHv/T3AIh6LcRJAHgGktzYVv8gUXT6LNdYqtUGN9/xZvbv28HM1p0ALK222VxfAeCZpx5nfn4JwDknOx3IJnBmxItYwkDG9+abRYfm5te5NKu1D9IU48mztKnnDn3GWCy5w1TaVaWvDrI47hX2LB8SefbGV70w1j0Ha6+yMYNzCtviQmeLho7Nz9DOuvOw6gwFixfKYcEaD9vvaJ+yzxPC+oy+Mljb11/52HhTL5EZxoG0GcCzpH11JIYVckPHZ3Kv9GVjVd7rtTz3ubUpJjsABBVI5dppRzefdBMvHJWXyRWLqE1Je2euOk7fkZgAr7aDNI4w6mz3jCu3i7XGvTbqhLPdFqhjXfaL7KAQFA4Kev3UwwvFWEi7azjHgqniFMQzgOpA5rBIIwiyw4jJPYcYyHQou1aSQtrUa1UhzZzvlnxjd6vUFa8zidy//ewggsHopja5ZRsjYyMAbJ2ZZn1N1pPZWZln999/J1//ytcBWJxfyu8R+PnmnQ1KGgHFg1DNdQ09IJlqg623yfvLF0UvWys9YFCvEV7mFdG9lX4k9+r2a/hG2uj7IeMTsnaPjE65DffEkYeu+doUhjV27r8P3/M5eviItC4Mcr+xNQWnTvHAIkad8arYVOcpPkbXV2tzx33m6PB8P5+TNpD1SVoBJtMB1SELNs2DPm7w0o2Cozl7JgbUAU7axatt0/c9d7+0PavvBUxsvQ2AyakpZmclCLKyME+tIQ9lbFz2k7vvfR0XL8i62my2WF5Zk+/OnSFUnYuzNdrAlm1bADh/9iJhVXQ+jnr5gSLzMlhf9AzA9p0OYQxkgbVqna2yxbF4XsamvVAlD04FMneQNdpmjpVsIzM2n5sFIzOoDhL3Y4hPcM3FhHiVXXI/z2pzPFLVn+mZbayvyvxrbsreNzAyRaxOg067DXGmS4bGoNhY1ZroRK/Xp6XBK5vGhUUroaIBt16nhVED1rqDhy3oRwxWDxTBAGkWqFDV3rJjNwsLi3qtJkGgh7B+H9y+l+mtn/8Qy449dwOwvr7J8ux5/UrmzPDd8zehh82M76RP/nyyQ0OYv2fj/HVQyz3kqT5vawtzyock2ytx+kG1xpab5BorC/K3uRgAou/GhPie/M4zMDExCsDgkIzpyvISy4ub+l6FjU3Rx9pAQLeva0P3+DVfm2ScG4ChNii2s+97tFprAKS9LkFF5mGUOQtshAs+GcgdrzZf4rPl21ScfdNrr+X65Fco7kM79spEjCMZoyiKuXTxjFwrrBL3MtsjcdcwgdpgxnP2MmlKbVDPSGl+aM9svqASsrIwp7/3sEbGP/T7WO1HvS6N39xMckcI1h1AbcHhcHn8J9vHvcucGi9xENqUfF21bh+vNRq0mxvytgdbD8q+trIgnzdXKng6x0ZHx+n1RD97nR5Rp0VRDtx8r5vTLzz/DF09/0xt20272WZz7TjXXIyPX90CXuDWBz/wcodCmgelUn3O1vj4GrxPuhu5TeP7zka6/B6ZXek5OzSNWu5AbfzQPSdP5/rWXbs5e/aM/N6muOcQ9/ErYguHVRnrMAzwPGlvkkLSk3GLEkOaXh54sYmlprqya9dWen1Zey5dOouvdlqiDuterwfZWmnyeYJXsIUuA0Kk+cvsPJV2MAo4MGof2RRsrOtR0suv4flktqBXqbLrRunn3Jy8t7mcPyMKvbLxkhuTiam9gIBHVleWdBxiDtxwKwAvvPB0fl7pXesznQfUmJrZz8SM2BrnTp9gfWVBP0/JA3J+4b1sDIN8jbIRb3nnTwBw8tghAGqNMVbXlOLbG3B2/BsevI/HvvZVAKanZ9i6VeyNv/W3fh6AX/1/f50nvvYFAC6cO0lFnX6bG2sOVJGfKQ3WtccWIq8FJ272G8+nUhMd7HXW3bj6YZ0kkr3UzZM4ynWJgt1m/ILPqxBId6ZJwfY3Baeoc/Ya59iV2EIx4Cnv14dH2bdXfnd+Vt5LujVa6+IbSdMUPF38vZCgLjb2fW+6H4CJiWm+/rWHAXGUrq6IjRJWqkxMiE146fRXXlaXXnWOrsGBAR68//UMjwxz4bxMotOnThP35XC2b9d2duzaDsDspXkA7r3/ftbXZMNL0ip798uE68Uhd90hhvW+28Vwmzu2lVZbNoIHHnwLQ4OikJVqldl5mSwvHn6OSk02y9CXA9BimjI0LE6vqN/ihRfEibSxukQ/kQVgdFgfpE145PPyTPbdeCexOg1GRyfcA7SIcnqmTuoOYfnhACgYUZnTwHcOoultO9l/4AYAZiYH+cH3/RAAn//CZwH44z/6Y0xNFGS92Wb1uWcBqNVrNAakz1u2yULRam5Sr0nb19fWqTfkdRIZbr1dxm9qyyS/+rH/AMCn/+AZAJYvrnDxjDi07r7/rVTrlwD40H/8TW6/404Aqg058Ea9jYLRkatlmnSZmBIH1OLcaa61dLs9jr54EmNCumqfLi+tMKfPenZu2UXAut3sgGidQ8LzAhLdfD3fEOlhoDIu7y2+MItNMqdkI7fHDZhQrpGmvkYG8w3OeD5JFhWyCdhBvbdhfEp0L9XD0upKi+xwi5E2ye8gW2iujNxln2cRKUFbZIZ6duhL80UWQ5qHnMFki1l+oO23ZC6Y+jiZc9bzElIvi35mjr2ANDsUJjFGI6E2AaOHMC+0/N3/6W8A8Ae/JxvE1/74sDPYZLFVBFnsucObCdRBakOs89zlDmDp4zcLhX0HYiTK6AUV8nEvIPOiPibIxkCfR62Wz1+biJUE4Kdufs8ckPFbPO3haT9TYjBiFA2MTjgja3P5vNswTJAZPQO5/dzfBD8bQ6/g/NDDbwWqNdlk+r0ecV/0zvMDxkfkuv3E16ZXqNfkWmdPnaBghZEZE0k3OxxDMChzfXJqiuFhCVKsrm+SaOT5vvtuB+CZZ55jfT2rF1Jw6McxcKUeJ/mhsYhGsxajkZ5qmDK1W1FjOr7NJesisPIn01FDlFT0u9LPkeGYXlf62eu2mLske8ncpdPcefebuF7S7/c4e/Y0lXAMfEXnpoUTkm3nh6HMceLn0W2bbDodoRDp3neH7FOnn+s6mKT1ktxG9goHeNp5RDDV+eYcOsgaka0F/oAcZrPX8qNcv8MaaVfGzq8O4Ol1Ul0rKo0xBgekbRfOnuPAjQcB2L93D+vr8rtsb/KI2b5N9HR9vUJDAzirq/NESU/7oY51r8aF83M6Jgn9TnbwjguO+kyvAoh1jP0gd3QFAZ7JIpEdthxQ41LBDdFmROQA2Qmkcg+bA1+cM14aVXQay/jF/bZ817x0rf6OxVpx4BjcGpoWDNyLp49JwAAwvtgrvV6LuKdooaBK6hxdfZo6P3feLDbCkUfnyXSmUh2g35PB8GtDJIkiJGoN9u6XANC5s+JsSqK2Q+rG/RzRnibtlxzkzp87SRhkh1ifqKftMSBOF3DP0Q9zo96DUy9KQHNgZBIylLmuD3IvdUb0LUaRPeIELh4MAFMXvQAgyO9hY7DZ+9mhIAYvm39evu72151OBBUYHpN+Jzp+zaUqxqGZWsSZPRR3mL0kB+ihEbHdNtc3IZG5ESdjVOsyDvVGjX6GcuR6iQF8BgdlLe8nEWFHMxX8kEjtIt8hnTwCdfYmSYpNs3lqnMNg562ybqye9+n3ZO5FlXHSzprc0jPUG6ID3U6XkyfEztbYLJ6fujWvUg3Zs1ccnBcvnqPTlEOVdQGgOHeQGJ9OU84TYaXqkKWp2hjtdo9AUYHisNIMiNDQaUs/mkmObHOHPVNAHoFzhudgizx4RxGlVFgX8kOoKcDaU2ffJEnsnvvAUIPde1RfqtKuzaV1Et3HfT/khhsPAHDq+Ak2erpOaUDr2OEjpGr/RVHi1qyR0VGWF5Zy1Oa1FGPUyZUHW5I4cofntN/H17H3NCiYRB1nu/i1wfw5er4L/hy8Q+yNF59ZyY9NnnEIQeOFbk4GQYUbbrgZgF5H9KAfRUxPi/NzdbVFTc98nfY6N98ienXyuJxven0IdT0ZHBygpbo/PDrK5obYxf1Y9COshXR1XT1+8jRBKMpbqQ04kMHw0JCOQ8q8OveNyVHv2EiDmuS2Lella6bRPVjAW4m7hvuN+72fO4F9L89uIuLAHulzNxH92FzcAG8Ud2F3ZgjYMrNH+qFOnHpjkKFheQY2tezaJWCJdrvJubMSpLos2eWaiDhwqtUazz/5lcL70lffq5BmiMbM0W78y4MUmU1gfP74E/8FgCl1Ht+w5ydYeVKex/kzhwh0z/y904d55zvEFuz2Ys6cPAzAD7/v+wBYW1kijnNbtq3ZUnIIyxxraoulNl/QyEEf4OVBlOxBJik9BdJgrXPcJv0WAxqMGlWAzcXZC/kzLyKerS0sQZmzreZsFJv08kCSqRR0LM1/nn03TfP+JD3Q80631+fem7bKa7MGwKkjMZWGtLfbyZ38tVpAEkuf1AdMr9dj5859ADz26FfcmbzXbrKUvvIO96pzdMVxwtLyKrMLy6wsrcl7nXUmp8WD2osSPvmxTwFQH5AN+OlnDvETP/nnANixfaszZPbvn2R4SL7z3/7sBwB474/9Io89KhNkcHiM9//I+wBotdoMDcqk37lnHwuz5wCI2uJgG5ncQaMuC0s4UmV5SRwl09u246sS3HbrXQCsrq6w/wYx4jc313jgwdcDcOkPPu2M8yTJDm9zwIj2Ps299F4xJSIzrAJnQF08f56RUfndyPAdfOwPPwPAlx55BIB7X3cvx0+I42ll4QL33CMOq/m5WZaWl/UaYki+7yd+ks984sMAHLj5Rk7p4h7WAm59m0TUzp08yT/+n8V7HUyLg22pfZaNDXlGp06e4KQi6Z587Kt85lN/AMC+vaK8L7bWCikFqZuQxtRYnJ/jeokFYmt55tlnOHRYU16TWLzfXL5JZJEgClGhJLL4oS6CN+5geV2e+8CIPJt+1Mkd8jSxviw++D7GUyMjztMejKJxGgMT7N4rDr7Dz79QgEJboihLX8gmeOLSBrGp+y5+gL0Mbq/ro8kOgDmiw3gNsoUvjTPEmMnTTjC5U8wGsviBO9BBAGEWhTbOuI36Edkyk6HJjIkcIsSEodNp46VUpzU6GgacvSCHodvf/VYAnntqls6ybBC2gEbzaz420XYGco/JsT3ccbsYIw9/8WH6ikwo+omvuVirKTX5uGKtQ2aZSu0yBJ37TdF3rcbS+GSDLCPkjW8RZOZHjz4hDi7AhA2HQvA8Q3NTjCnCQYfe89QBkVyJTHcRwgTrkFw9/Sgh9mXdSJM223aIcTIxPuGi9WfPizN+cHiUduY0MDVyREtUuGGmox6JPoPFxSX8bDMkYe8eMSY3W+qs29ig380OvQYX+bd5GqOnaAw/qBNl0a2gsJ35huFd0o+KX6GuabCTt+lBan6W7pKDyrkxG2jUabfk3gO6f6wvnQRFAVSqNfbvF4N4cnKShYUsUnjtxaaWqBMTtZYLkWd1YIGg8dLMwat9N5X8MGXywEhY7zE9I+Nx060SCDr7wvH8EGzyA4K19uoGUYYUNIX3TJ5ab0ix2WIXy3e96jipopOJEjLHZdKNSJzVrWtb3OHCBdlXK0GVk8ePyaX6XSamJAWgqgGX+YU5xkZl3T1/fp6z5y5o03yslzmTdQ1qb+BrKrmxNWx/Te9bgUD0wQu172maT820cJjwPYItco2aZ4i70s+66hgX16CTozHdRpw089cZMjuo5sZg1MxhLBZBxF2WOnqNxMh/xvcd+s9YPw/CpL0cWaVo3DgyDAyKM3Fzc51wQPo6MBKy/4BE7f+bn38/AH/tx37R3SpOU7bvEofWxYvnXH+MB522BoLqsrht9LpYPRQWU4IkqHdFanHiEdvMuVW7HAmmmuyHmd0AseubJduD4jh2cybVddDGKbkpvFHItPfIginu87RHpq/GN1h38AhdG7KF25gQNABhfT/vR1BjSA+QQZJSG5Dvj+0Up+HGxjKbZ5f0uhZsIx8G1enNdbWJTIyvdmd7cx3o6JBMMLNV5vmlax8fxHgh1YGt9KIuiwtiR45NjNHP6D2SPm6uuzG0xM7Za52ToTYIO/YKGnxcAZ+dRUO3I/vM8NAgG0mWFlSl15N7jI5Psrosh86MTqNSHXAO6Xazw8kTYqtWaxUaQ7LPtFu6ZidJ7lT2c4fT1MwehobFkdjvZzQnA2xuyuGr1+uyuipB9ChKGVCnRKup+mQTF7jEhhRREhm1hUN5G+veE8XL574xxTVYxdcgVqXvAuB9kzK+T9pbT2KCUNoxfteNMpbtBRZekHV14cIJNlelH69/45vYVMTW2dPieJiYHKen+3S3vUlPKWGGh0fYsXsnF07Pc+3FgPFJoz6epr15foiN5ZmbICggQFXSCGvr+mvjEH1DE3UqGnx7+9sli+fFZz6Zp2MT5ody8mDXli0z3HnXHQB86uO/B0C75xErKqYaBpelup87I2eZWk0du/2+C9g1N/vs2CXr4+DgEKtrmZNRnt3i4iJBRdrQXI8ZGJD5vb626NA9Gxsr2q6t7Nwp8/j06WMvCUzKAGT6I45nJ+47RvQQnP1p/LQQ2wlyFfN8qls1SB2FxHpW3vFGAYe02udYubDkLmuMBuCrw1yalTUpCOW+Bw7cyuamjF+jPshTTz0DwNr6CklazAC4dmK8kLC2hdMnT1Af3gVAZ2MZY/S84QcEiti2VlN8o4SJrYJKjXsbJOp966dr1BXocuddYoN/+iMfJk6kT7VaFT+QgWs32zzyJTlbD4+Ouj1maV7mix9WcmqXNC1M6fSysXdSdCi79UOuIx/L543GsHMmLi4tknTX5LvBIG2du+1ez/3eiS3c11LQoexPUggC2DyIU0QSOqqCFKtnDa9edTaTtR6NLTJ+tRTWVR/rt8pYV+Zm6czqfm49sNK3bqfr+vyYouAefONbGdBUize88Y189ctf1t9Z+oVg+svJVZKZSymllFJKKaWUUkoppZRSSimllFJKKeXVJ686RFev1+P4sdMszM8ypATzi3OX8DT6e/MdB7nz9ZIWd/aMIJO2j0/gZZGQqM3YmETqn33hBP/r//o3L7v+6uo6I6MSxXzgDa93EPz11SXm5iV6NH/pnPOoporsmdm6k7lFuV8l8BkalAhLq91nXlPuhoeE2M73eowMjwLQGGjQjcTT+853vpnPPiSeypUluRfJFrAaESfIvaw2JU/T0Y9t4qKnXtpm9sIZaftak/Nnhfcj1Hze9Y0W25S3pLW5yMqqoAQuXbzA8IiMz32vu0/GPLX8+Z/9bwH48kN/7JBr1nZYX5K27b9llL/4538KgA996OMAvPc97+fTvyfIrWefesJ5kD1SRkYlgrexKVGbW267g+efeix/EBm6IOnikATXQ5REd2BwjBFNPV1fX2NTETKDQyHjkzIeZ09IVMzgu2iz8azLbjl9+hT/8Jd/AYDFTYlyfuUzl+i2N/R3pkC8HCt3FEgkWMn+1asdhn3abXkme/fv4OIluUavtcjGqtzQryqCyivm5hu8LALghaS+Rg4vI55UjoI0wigE3yYdh5wxGdGwl3NKUSBNtDbNU3ocZ1wFT2GqjXqdgwcFqff0M48VIgkasfCN4/IRsk1FJvkGowix3TeMMDokc/Z3PvIJAForm6C8SdVGQL+XpbpCvSFRqL7yT2w0F1haVZRHbZO3vEFQYV955DEcvOGaS0YMmUdpFW8DwMCgIdWxbzczHiXPRRXTNMBq+k6nbfid3/5XAOy5QcLcH/0P73d3slHf8Ws1mxvYLL2l0LWJaUHBLMwvFTDiaYGXq4DMyXgXUkO/k6EUKswvSERK/kqb6w2ZDyMjdY48K+uKCaoMaTrixspC3ohChNHxunmGrkZhtu/YRhBIRGpsRJ7nTTffyuOrGqmPk8I18pCUI12u+45EOE1SB/M2HkRN6fPeOwOmR2WunHlCoo7djW4O0EzrJK4ugXFFPDIeom53JyPDMk/a7U1OHH8egKNH0yv4CK6xGE9Sn9LYQdatMY5vrT7ggaaZddZyrjyXbuUZSLJY1iD3vGkPAO94x1sA+K+/8yJuTNNYEGDI+mbTfH4Y8lQGyJAGut54qaQ+AMYbxCjSLrWKvEy7uPRJP3FpccKDlOmecmZZg59F7gOPWFNHe1HKQU1j/PznPwfA9q3jTE5IlPXc+QsufcP4IVYRqaGmUISBT18Ju20Sgafpb2kXT3meHGLA93IUbCE1w/gBaCrVzH6fqiJB2mc07azvgZehXAsRUALy/StDeZk8KurXcuSSQyxeD9ipwXiBonU1+hrieMNqY8NMTIrdc/GszHnba7HZzVKIA2wo9ktjYJC/+QuyFv3Qj/4gAH+Nv43j0UlTltWe8CvDLjXHxj1HKLu+uuau62lUPO3bAgqhmD6rCOSw6lIXawMNWk1N+YwCPL+f9VLfKxT2KSyKvW7BlnAEzX6O3EsHKPIgGUX8OT4bcHu4JXCIQEHB6TNVLi6vHsp3UH3PtuhKld6GzI9dN44wrnvX4SOClGiv99yc8aoeaV/5l9LApQ87XbKGRFFUXm0I44ndGSdw6dL1Q5tCSpq2qdfqVNUO8fyAm24VFNH5S+fo96WP/c0MQezn3DLGY2xU2tqjxz1vlPmdBLIvvPDIC4SKvBgeHqajtAhDIxOMjYsehoGlqnx7C3Oy13da7ct4U2ua0tfvd5maFtu3vZahkjyKKUBWdeDiheMMj0iaTWNQ6UiiPpWK3GttfYVqJeNHlQJXUET3hDmHoefliEbj58T6BRLzIj+kQ9yY9CXITq8aurTClEoOTzcRnqI2dh8YZEtD9O/84ZMArM528Qc1W6Ed02nJnH74s/+V173xHXp1udby8gq7dwsSpr59mpYiMOdnL1GvNwoos2srxvgkNsHPCj4lsUvXr1Rih5zpNjNd8khjmeOeV8UoOtAkhikBk9IYU8SX77viGTbNi1vhh269mJqcdIi9yUnZ9y/M9TBqT/SjhF6GBI5j1juiQ7sOyB60fv6MywIZGRlifu6itH3nHpSPnZ6ibW6+5Q4unBfOzamJPZy/KByVslZcPr7r65ts3aJZIHhOr8JKkKcxejldQ5Gs3yYZIm6owKmpn1ZylJyNU3eu9CoQteSZ79/TYDiUuXT8SUGwrS20cgSilxfjMYSu6ZEWaIn6sdP3CxfOMqn7y9TEqEsfvHDqCNdSfD9geGScfq1Bt5ev9WFtSPvtM6zn//aqIpfXN1hZkGdQb1SpDYrdPFSfZM+t0qktuwQNGsc9XFaBF7r0+TAM3NwNw4BuO0t/zDJ/CvuHdf+7XC5Lcc5TcQspQTmfl0M7x7Saa9J3EpKgobcN8mtcxvFX2PMc4K+Q8uqQqDE5irlg46Z9jFew/QAbDJDZFDZNsUo2b0JDqnxA+28YY1JR3E8/K+fo/kbhHja9nM7BZjok4/a1rzzE297+vQAsLW1SVT/G9PQYK5o9pwknVxXzkopuf8ql0Ri1B256K0cPPcmNt4lDa9eeAy5VqJesUx+VwR0ZlMVvvLqP+x98JwDPPXeC06fF8TQ1M8mzT30DgNqQDPi9r7+dubOivAtzl6jWspzwmLPn5AFdvJCR50JjVDbd+fPHOXijpPG1O5EjUpyZrNFTZ1lN88x3bN/jSAcHhmZctYalpQVOqnFy4egZuUF/GVjRu/kUCD/IF8XM+InJjbQUTw8VlXrDEYLec/+bAUnFXFmRhX3ubL7YVOoNMsM80oXwwE23cGn9rFw1DhlRjouf+Ms/zdKycF988Bd+nBePSJs316S9H/nw8zz20KP6uyJcM68U4emBoF4bcSS4+LWciDteL/R54Ulr7eu4huIHNVsf2c3k5BRNfQ7tTotISUzf+yPvpzYo49Fqyedf/PTzAq+UFhacSHkK4uQWOby/6S138NHfeUje7BcO7abi8pfBuMpFniOeTV2lEwiwWcoaictPLi5amQFi/EbOpWU7GE2/ols4CBercTjIap6C5PL5vYIRViTCJCX7h7tUsWqGV8lTYkz+3SwlJmgMUKvLfZurLYyS1tYnArZsE334wI/dydHj4pQYUR63j/zuC3RWso3eI1XnTqWCW6AzAnFjGuzaKcbq0uolRgbFqXvx3DJYSLtnsGnnmlptxqtar7YDm8TYONtkI2cMNMarvO5NwkPV6sjce+orCzndca/tiHIBB90fGpdNemgC5k7rYbKXw3VNdZxsjP3Act994qBeXta15OJ52pt6WLJp7tTCuMIGWeqiNEafVziSb3JxF+qy1qE8S1NbZ9hQZ9Ltt+5lXUk6jx8pOFCcM6NCqITit9xym0NjN+oVhgZlnXrkCwL9fvPb3kxbOSy+8vDDOYlzcUPO+G5sj5pyh3Wbkcseqk2ETMxIP9/2rlHqmjK8uSk3/uSnjtJeU13Bw0ZiFE9NbmclK7aRweutYWZG5lEQwPKS6OVtd97H0RclwLKx9Mw1X5uMCS3eJCYcdv02XuIcTtv2bGFoRjq8viKG99yRvEBA0dixJsh3i4a8NzzWY+liRihaIT88W7cuGKxbe3KxeXq0tY7gVhxDWdszjqFunvptPMjI8b0BvGFJyTDqfDC27zgKPVLHg2kNRFopeWRsXG8bs6rcJWEtyFH0WGdcel4WVPDcdX1TIAe2EXmap4xZNfRoDMhzX11sEQxoteKBBiNj0s4H7q3S1rSZuCvXeuxry4xUxJCfu3ABHF9PSD4XMk4QD0fsb2yechuvytyMl7C2f43Xppr1Kjsxtocr82dz0uTte2a490GhHDh9Svb05786X3A8FR3OhszO2L5XfuPVVjl/RK5VGxyi25XXoR/mlRI9w/CIHBhGx8RQjXptZs9l5PtF/kTL5XYN4FUJKrKGTEyO5RWxOpuc1ZRXVE+CMHRpR5eR+JpKzkWmOh54EX5F5nea9ulldgh5qnTeFj9vT1BzHFzGeNgsrTKr0EpEbVDTMZp9rCfrXHU0QKl/uHGvT2NU7m08Wef/6x+dJGpmTmdDxo9i+zZPNypwOQWqd/XGNPv2yT53/PhF54Cx3Wev/drkhdavjeEHdU39FGdwpAeb0S0N9tws+2/mpHrxsQX3HPwgr7YLEKiDnIp8Pj5p6DZHASFsDsOsgEQLXw9zvg/dbuYEzK6U4msqcBJH7pDo+8Zxl1a0WEWv23ZcgnFr2em6VwnxlAPNdsR2t2lEVe2ULTM7qKuDbX5hlm5PbQ+18+O4uH76uZPBxK4YUc5xmjt3bRpzOQdvZtNlwYg85TeKPJJU5lhlKGBmWr77gbduI66JPs0tif3w+S+v0lqQ7/Z6XYiyVNgqoZLtR/oMa9UKd919t/Rtfom63u/o4afYf8NBzp58gm5n49quTX7NBvWdUhQiNzgd5cvgsMe7vk9IqY+fFu6jQ08s4el+1et1cQTzKS4oNLFlFIDRqYAzx0RPfC+gWpU+tzuRc4ClUcQbHpBUx5ZyHllrWNACBHPzK6SO+zEvFFTVavW9bt8546JeDBpsCWpVUk90bEA5ebv9PlPTEujfMjPjHDKjY2M8/ujDAK6K8M6de1whsRePvIhnYm3jGi8JABZ1JyX/PLX5EcrXc4SfUm3IGtzdbDtu2OpIwOSU9OMdd0+R1LVSYkva89lH5mgtZutq1dEAYavYrNhU9twGB/E1+LNz942cOimO14mJCRaXxFZsr15bu8nz6zao7wEbu6I0lWqVfXtljVxam6M6Kn0ZUq6/57++qhQrQNLOzynVIYYV/HDXvZLWOrNtmC98XnRwaf5SodBWHnzdsfcAc5fOABCqPe+FA7Q2sqBR8VylP4bCHmWc3R1WGmgsjrHJSS4pmAZNLw5Dg9W0VM8PHRVJFPXcNbL9zsad/F5FzuZioYWMDueyeJvPZfty5qTPivaYhFDThaNuft4JR0K2bZNn8IE3bGdD/Qatdbn3H/zxWborBfvCUc1V8rVPz8gTE0PcdoeoyYtHnqPZVAqEStXZfmsLT72sLpWpi6WUUkoppZRSSimllFJKKaWUUkoppbwm5FWH6BoenbKvf9P7WVvdZGaLeMXPnD5FqgiK6V2TNAbEUz07Jyik73nzu5jViIbvV1z1jFMnz7CpxMN3aPXFWiVkVcvdf+kLn8MqRHD37l0cefGktsJnXMucZ4Sm9cYgi5rmc8NNt1OtaJWu9hKJfierpBOENQevnp6ZYG5WS7DGCefOSpsvKbmub3tMTQmiZW7uLJf7JjNkRvZeTpSKqRNqJCiKI5xHNhiVftbrvPltAls+/OyTzF+UiGicJFQ1or1lq4zv/Q++nc88KgSNP/QDM/z9X5JKFP/6N3+JXbsEcm6xnD0lxJ/dSCKi6WJKuyvt+dpnl5m9oN5o47lKe+9814/IOExv53f/02/I72zq4LG1aoV9N8qzOfT071+XyKQXjuMHVap1Geder0PmXr7hphuoagrM2VMC342ixBFWSz3VHJqfkWz7WuJ4eLDB8qpEk+Je4hAWQeg7r3WSWKyiR8Kqwml7HbxQkRKkWDLodXA5aTRAoQqaCQdIs3LexDnU3BHJXzHfi+ToV3CfFhLb9FWBfLBAtp7/zSISYY4QSvv5PSrZ2FjGt0i096///Dt4/oggLL3hZYxGnHZsPcjbHnwXAKfPSWWlMW+A//ThjwHw+U+cw/OzioCGuhL6ZvPyHW99Nx/60H8G4Hu/552cPiXz6eCBvTz00Jfot06QJu3rgugSUvosStsFJa8M6hVStJqTPiMvbORRzDTJ0y5s6tIU3Fs2wPaycuAV8ijMQCH1Jqai6RZVLfc8OT3O2VNn9bL5WmCjZuH5F4iUM1h0sXJZErtnfcsdEt3atm0rN9wgKaqnTp/j+eckpS/0DWfPK+o1zlKIPHYdFBL3qakphhXpUK1WXHXcZ58WJMldd93G/hskBebJJ5/hzKmspLnNix/4WRpYwsC0jOmDb2ownxHMV3qEVdGlbpSwWyv+JBp1r/QDFtdkLB/72ga2n0U/a2A16q6hoqGRYTLdb7fX8TWKWa0aRjXN/fypx68DoqtiMZOC8nHk8J5LnfLqFl+RbXEGALIVbC9Db8auwhw2xdPookufkX/pzfL16LI1wuaIVccTfll1J9+V2E77nULBirhw9UJBjIyMOg1AkRnDY4K263U79LI076BGqNFymyYMKimsr8jXsdFBTh4/pUNic501FqPPKluDbdJziK4g6RPq/Gi31gqpOEpmHQZUB6WN3/d9WzhzSaL7Q9uqrnhIvTbN6YuC5BvVMvHj9XHOnlsD4Jmvd7BZkQZvGFzaQjaAAS7a7tULFZYSMD2I5rBp7xqjJurWr+0j6W3gVTIS99QVHhmfHmND0/Urivhqa2l4kcL6f1nqt0bxgzpWU0JD35CofjQGR+g2V/QKhkTRXcMTgsaqVwPmLkN0OYbkwr2zNI4aQ8pWvrm+SE3HvuL5uPRQnSebaxsOpSeppIUUbVfYQfUr6mJUVzybkGRo3MvSkov7ZjZ/whwd64fgZyjmrNBAj4auTW+8Z4DFdbnG2I4a/Y6gbQbqY1xYlbX5dl3zNheWuLQoz+KZJy30s/VoI0cKmgwZ5OGKQXgBvm4WtVpIpyf3TlpPXx+0aTBBEITEutd7JiVVFHploOrGP0tTSvoFlJ7tO6RK1E/YVMRx6iqMWXxFUKVx3+2nnh9SqyvK0g+YmBSbbWFexmtsfJKLGbovjcnI5j3fdyic3L4xxD25x/BEnU0tJGQMhPWs6l0nb5eqwNDIBFu07b1elzWt6N7TFNJet43N0GomcGmvJgjy9dHL7CauQMorApc0T4DwMlsipTqgdvPrx1jKUH+NNkbv0e5H1MZkfMY0BX9mbIrzS6KbX/jMRUiy+d/ApUdm88PkadXbd+5idVkQTZ3mJjNbtrC0cISo37rmiC5f7abL0rf0pV+tuueYZgj0OEdp1mp1RyDe7XTxsoJeus8FYdVdyzO471rrOboNa01mnrJrjzzb6ZmtHD+qNk11hFptFIBTJ444nXYp816OQklJMVmRCtt3lZIrioCJohxtdO/9b6ClaW7Hjx9zlWcdqwmGito6+w4c5PQp2Xc63WbhHJDtr0XKDJs/WzyMrs2Wpr6XMDAmSLP3PzjJRV2bupVlbEf0uBNF+HUtjqTZSGMDg5xbljnx1OMd4l6OXHQZIWmWlZC61G3P88UWBhoDQwS6560vPnmNEV1VG9a3EEUJ9YamK3pVqlVFXcZNtw6kOkfrtQG6ek5trq6wY7eQpS/MzdHXzIk3vkXoHlqdHtnePX/hDEtKMRQnMVWtVtmLIuq1jOpC7V8vcOl2vebGFXruXfG3sCh4PiOKLg2DgKWFC1lP5U+aUh8Q+ynFEPfk+SZJ9NLrFu22YhojBRqkDGlqzeVnO3c2TPO2u+rDlsEx0Y8/99ZtnFkW3e/VNgl1D+3HEVYpDKYUSTg2OMTRWbENnng0JslQdWlAEmeLdLa3WULdD2655Q5W10WXLl68wPCQ6NvK7Mvb4CWiq5RSSimllFJKKaWUUkoppZRSSimllNeEvOrI6MMgYGpyiq3btlKriUf6K498icFxyUs///SzfM/b3grAuTNCCP7p1kO86Y1vB+DosTMO0TU4GPL6+yX3+8knxXP/9JPfcETbXhgwNiHEdAcO7OXQixJ5a22sErXEEzk+Izwj7dY6iUba19fX2KFE71EwwPy8/M7xDCRt7r9PUBHLy+uE6t1O4oiJcYlQbW5KlKi7uVqIwBdQMyRkkcUDNwlXWWttkZ4iRTaabVdyWUQRQ+pVvfGmG7nxhr0A3LB/G888K2i15vpFjh8TBM173ydoq36vR21TVGVs/B6ePPFJAO6542189HO/BsB//ZfP8a8/9Q90LB8G4PTsOYa1dO7OfVuZPScoDxNWnVf44S98FIDvffePOQ6FtN923Be33/06ZraIh/3Q01wHMRi/gjUeiXIBGc+SKGfBi8+/iBdmEVWNrGHzvGgSrM3IsPOcYpQfZHVtk0AjMkmAQ4sk1rqywtVKwKqivnbsOADAmZNHSKOMILLqPPE2TbBOB/IoZ1YqlyR1xJw2yfm48pLpORcX5DwlmAIxa/Ybw0sRYNl9M6SPIgII6o7Y3vihK2Ev5de1H1n0DFhVAsFnnj/PwbtGARgKd/GVF4TP7PUTB9m5Q0hRpyYkYrG2vMH2nTIfh8cXWF+SOTI0NObIhxeVP+Dn/psP0mmJ/v/xZx5iU/nVbrv1Frbv3MoFRThdFzHGkXJDxfEZxd0YzOWkoNi8jK/xw5zPKI1cRC7NUDAWUDJmYTjNUFwtQcgAeIa+ckwY5UNK4gEGR0TXWhttF2k34XDO9ZUhr5IIRwqQFgkiPacLh5+XtXLLlhkX6BkeGuSHf+j7AThz9iIXlD8pqI1pNxOayndyw/AoWQQpDPoEijzNrtVsdRgalvbecdednFGkqCBesnHDvWjNb+p9a2w5KO1dvtAnyvjaogE2NyTinxFltiPwlcOpVoeOzndBSylfnuprkliiqKWvExdlipMGA0PbuH5iwbeQRhgj0UmMh83I4Tt90mTt8p94HhglyA6qBfqHwOlhRppK3HfE9p5XjDAaN38pEINePviFSG5WAKU6CEnLtVMaGTvuDmNCrEM0GBel31wT5JDxA1cIo16r0YsyHoqQNeVNy9BjrVaTsJZFyPNnYpMOnhLoJsqfYRNcG/pJRKTIJZlvl5Fl0G12Mcj4PfX8Iltulvn4tgd+nLk1QR79pR/5W/zs3/vhy0ZkfXONwUHlpqjF9LvZghsXaDWL+3E2zz1w66a9+nJ7jSQjkU27Mg9NWCGbh6vL647nxqFNCoVLLrc9jPtd9ndiehcdjYpPTU9y+pjwmLTbTRck9gMPX9HR64uCFFlPi/vRlRxdQeE1kPZzxF8a01UbKa5UHSdqRdeSIKgSZcUvjA9kCIsU4oyEOStA4GOzYh2BybluggDiDEGbSZXLIuFZYQ9DAW3Vd/1pz8lYn7wAU7vl88XZeW6/U7gaQ28rncqafl3ue9/97+STn/yI9KeR0nd0bV7Ot5JmKMs8Mm9MH4yMWb/T5ZZbxL57/kmuuXi+T2NkhE677QrLpImH0b2j3yrwTTm18XCFMvyAturh0OA4TUU+OERKGpPo/A/CCnGUcekZ2uu6XlQHGFQkt0tYCEJuvlXs4RcPPVPgfLL5uqd/hkZGsLpUJhEMDUkGQ7e34jJEaoryx8aOGLm5ucoZ5aDzjJc/H5sXozBKpC5ruHLa+EF+84w7MSkgJKzNiZ5t8f2Md9TSU66kw+eb7N4vjd9c7xDUpZ9Liz32bVESdv352sYqnt6vPujRWWm5Z0CcEU5nG0WBYNxaOspb6wU+83OzedGOayqKYDFeAaWUcwgl3U5hH5Ox9EzsmuzZHj19Xn4YaKET0RuQvS0r+NOo11nTQjjWxm498ki58y7hJltTvsuL58/TVmL2+25/kBMnzwAws3ULC7PnpW0ZV1K1Tr+f8evmRQVsAkbt/yibs9U6QSj97HdbLCsqaGCgwdRuyXRYXZN1bn7uEonq0uyFc+45GRMUMKZ5FsBVMzCwWKvzK8gLrbTW5R7fOFllzw1i6zRXI/qKul1eS9g2XHXXBmh3OtSCDP2cEHUyYvKAvABLdk4ymAyhaPOzRq/XpzE6wvWQer3BzXfdw6Hnn2PPLpnPL754lMAIimjn1m1cmhedbm7IGcTGfm7/GMv8JXm2UT+m2hA79Otf/QoAaZK4oksjI8M0tCBet9ej28uyFxK6vWzsMzvI5mhVz8/RwkVwdJYZVOB6Jk1YX1GkKTafp/rd+sCo49kLAo9mqvyEYvToPTJbLchVJekW7Lo0X6szu83mZ0RpS1z4PM8ekeZ6tNZl/j1xaoO9N8iYNVf6JLqeXVjtsH+nPPMMoWg8j4GqzOdKLaYbZ8VHBllZUO4zfS5hpc773vcDADz6+FPcdqvsn3Nz59nczFCKLy+vOkdXnCSsbawxMT7B6OgoAPtu2M/xcwLpbK6t8tDDDwMwNCifDw9v45EvSTXD1eVF5wDqdbscPiLGa18rKu3es5+TJ+Va+3ftZfaSVM947BuPY60o3IPf+wbmZsVpc/o5OTBv27nXkWueO3MMo0qWJBG790jazEOfEqdOWBvh1FExBMenJl3VsI2lS/RiUYL3/pA4mR772leYvyBOKN8f5vVvEgjl4ReeZU3Jpk+dks8NqasGKWTYct3prbtZ10P/Bz7wwwDc87r7eeZxcSq8cOg07/7+75G2BfdhNKXkF37hLwLw5S99lV/7N/8LAB//yrN8+fF/BsA//G//DYurOTH/D77lZwCYPSULhb+rwt03Cxz/o5+Yl2p7CAQ7I7IbHpFn9Lk/+iSWjDywxsCgLCZ33HU3xsuIYK+P2FSg6ZmzSBbkLL3BFMjfCwcAdVgkNnVGy9DQKJubWm1M4dOptVibQfs9tmwT501QrzK7ILqVhl38GVmIz5yRNC0bG5cCYRPjoNLG1BzRuXGwa3LDyZpCJTgfdOycQ8smblGTQ2Ohb/q+MzIsbrG0qXFGhrWFNKfswBb3sUoCG9o2ozOyyayuBsSZMyXNSB495z/53Ge+QuSJI9MbhGE1Nt9w9xu5Z4sUkPjqyU8DMFYf5Se/74cA+L3fesZV69rY7DI+kaXpiSOsZy3/5UP/FICf+umU3/sDmXuf+MQnMcYj7meHkWsoFtIowQsDHIw7iTFKdAxJTuKtktrCYTJNXeqi9cICt2hGqAtxVhGRGHd4C4ep1HTujITOMbtxTpzxSb/LQU0bfPub70P3Rf7dv/91VlXPa0OjAHR7sXu2vmeIOtlBL3X7W1CX/nzhs5/hC5/LCcy37ZTnuH//Pu6+6y4AlldlE7rx4K1sVwP8yWeOUAlFL59+6iQHb5S2/cD7Zc1rt9pcvCAH4anpad7/Y38OgC9+7pOsaaGLqkLD+/18P794rsfgpDrQhn2SSJRsqDrNe9/xfQD84R/+lvStD1vHpc9xPJcNNCbsY/uFKo6A59WEZFO+QZoRHAcBnc4G108sxBGmPurmjrWpO8xCH1MZ0ff77ifOALG+M7KFkDtbA/Q938fLPi8WNwk9/ExJvL4rkJBoIQhZJzOou3GBGGMDstQkVymuYGKYSt0dOGwRDp85dOOIsQlJBb3l5oM8+cwLAGzbtoXTmr46PqmVi32Pvh5+15YXMUrSaxNLkjnWs/UqTXP0flBx/bTWCCG9XFH7bulo6ufpEz4NWU742EMfoq5j/U//7p0MVUXX/WRZf23YOy3z4nGTQpA5IvqFzKTM0ZXvLzKw2drtFUi1r7FYSxrHmKCCjfUZRF18Te+QFFUZl06/UFE3C9zExUI3xfbLwN5+5z2cOy8pY7MXzkOqKThtSzgka3N9ouacOb1T2bgn5IpwpdNL53JVK9/1WvTbq/qxR1hVAtx+yxUN6mWpIkV9tgXHnM1J9Y2mdlubuMBU0s+/a6rDroKn2+cMYLKqnRHEWXGFQnpxpmx+4goNnJ1LGJrsanNSnj8suv2O+/fzLz74IQD+z3/7dwBorqzyw9/7PgCeO/xxILtHWgh6ZgUFfEcDATCzRRzv27Zuo6GHtOshaZLQXF4VG8X54SKqAzJ/434n8yc6h7bxcAFC3zP4uo7NzGzjRi3kdPiIFEZaXpgnew6e8ag3ZH/rxB6eFjTYc8M0fQ3wvOVuKbX3uc99Ka9+N1TD6j3iKKKtgZZsGdzc3GRgUOyuW++81QXO5+fOcO7caQC6WsrLUTXIFYh7BfvhypRvExZUeoMszdSmefpjNpesjcgqaRo/zHWHXv7aVVhLHeH5+QtNprfI63otdM79e++6DRtK/6MNSXNK+il79az0UGsN1zi/C1rlm2IwTfe39fU1KprmXK9ViFKfjqYhX1sx0vc0D2QZk9uxxvMwapMmGpBL/apLUW91Iueb37ZthosXZT93jtJajZqmcbY6TQkcA8azNIbVKei1OLskAf5kU8Z7ZLDKnXe/HgDfS7mo1RGT3nruJFD7ut9t5U5V47m11AQ1rlzUK0GFWOfxseMvEvWzStEVWq0sPV4desGgu1ZQqdHbWNP7GowraKBiTUG/TGF/tW7dNbp2mQD33WPnW4xMSD+qfkBNncerGy1WVvVsMy7vxd2EPWOyD3653XR9s6R4XuZ0zuYDzt41hZTYJG7TaV8PhynEccziwgpvftt7OPT8swCktuKoZo4cPY2v4+argd1urufno7SHBDMk8BQpVUh9QPagVrPJ5oY4YVqtdp6OGMHuG6UC5/nFsznfyHJeECVylBIGT9eatNcsOL0yJ1ZaWAdyO+nyIJjoTKe14Qpy2CSiPizrvx/HJI4+Ru02L8yDkuEAqatMbHISeldQzJJX+CnomU1emgdoU/fIj5xbZ3RS2jboV/D1nD81McHYtICCusuaWr7R5uDkKABPhBtUhuU+7fZaIcCuDuFexNvf+R4AVtd71JTWYnBwiOXFS7ySlKmLpZRSSimllFJKKaWUUkoppZRSSimlvCbkVUdGPzq+xb7pnX8ezxiWlwXC3Fxf5LiW8+ysLYMiGg7uEyjqzMxO5hSOmCY9VlcEKrpjxw42NKVlYFC81FEU4StUNE36zM+Jt/C+N7yB+RWJFPzoj72ZLz8hKKqzp+W68yeX2b1TPJa1eoWoL97JkdERXlTs+PwlibB4QQVPywzH/R7YzLPqc+MdUuI2K+t74dxZlmaPFkZAvc1ELtLuSMuTLrHCZ/EqBFWJ6MVRSk2J3G6+Q2DdvU6bE0e+IeOwayd1LbX6vh99L994Uvq2W6GfH/zgzzAxJZDaPdNVfvSvPwDAh3/1i3zykBB+P//Yizx77jEAHrhdoiDHjjzNxqp4hd/z5h/gSw8Jgum3fu0/un5kMtQYZPcB6XvU7zKtKaH/w//43/PA6wURN9Yw15xUtVIdtNM77iCJ2qy49BhLnGTpAL6LqDi3tfEcKaYxJk83K6AtgiBD9PVp6Nh6nqHVFi/7jTffwaUl0a0ffN/9fPhjn5drJOLJ7s9vkqPKqrk331gHW81LVducaLVQSt3aNG+bQzlUyJBAxng5nNYUMbRZN2PSJIsEhQ5t5PlVl6ZrNaWLFAIta10LLaPjkrI2O38pjzxpxGJqeoLV9WVtVcw9D44CMLC9T0sJXR/9tYuuHX/1f3svACsXL7F3h8zpTnuTT39C0JgXz8xRUWTCX/hzfwmA3/qN/0ScBVAK/fJ9jyROSLpnsGnn8g5/h+L5NRvWdhHbBBcus1z2PFxaqHugBSJIvDx1o7AsG03ptXGSB4/jlkutqzXq9DQq9HN/6yf5rd+V1GKjurRyeo1b7rkXgDe+/m5mpgUV85Hf/xiz87KG3n6bRKMuXJyj2ZSIVa1W5+CBnQCcPnOOM6dOaT+VfLzXBD8rmFDcR3I0xcCwrKvv/f73gqZSBhWfuXlZ8x599GmSVNa6u+9WYvvjL3LwRnk9NjHqCJY//gcfzqsy59k8OQLRS7nnzYIoCEZiupo+1vBHiT2N7uoV/DhlfkHaM1AJef4FUZY0iqGvfcqi3TYEl1ICRvvsmS6Brr29zePXgfA5sPijksadRefwCgjBoihKJ25CRtjr18lKZecRMhwxrfwj+3k+FUwApiY6d+Ntdc6ekbHJ0vHitSRfbzwvj/ylkUurDhTJEoaeoARBxtNFJ3MkbDF6OaQI36jXo6Fk45PTWzj24jPyDb3V3htu58IFQVMHvkevq6hZ35BmCDNyBJpNC4i3jEA8jVw5bpcyA/mzNgk3vk7aMLHLI86i4v0Q9BEMGk1h30y5sKAE44HH049lqYmh6BRgM6RUYsCXfhq/4uZxmqaQ9LHxOWzavaZrkzGhhVFMZVARp4I2dWgb47lxyYucJKSa/ucFVdLMtkj75KXt5dkNT8wwpQTdJ488i3E2yTrhqJDp3v/GXSwpKnB5Vva+xVPL5LaAIVAESeB5NBRts7K86NpTVSLbqa072NyUFO0k6lOri04vLSg605qCToegRMiY2LU5W7tM4GEz1LElR0z6AV5GiN6ex33BNFx73Prne3lEPkNd+X2HpAhnRrhtn+hoZSDnA98xegORktjvUDTW8ecOM7soUfrQWk6ckfZ2mt287o2umcbkSDIDDOqYjY5Osm27oMe//sX/fM3XJs+v2NrgNJ22h/GU8sGkpFkKqAmpKPI30vcGhyZcOmm302F4WFANxvPYtl3W+1ZLxmL24iVHR2CtxaQZgTg0dP+69c5xjp6VcaoomrzeC7hwXmwH3+twxz1vknsPDDOr9vfSkiBz1lZX3DrVaDQYGZO9Y2lhnnZTEan6SCv1KomVe0zPjLG0qOieOME4JEZhDbksnSxbK+vYNCOC18JMXtWt1yaoUHjABaRYtr/h1is/NLzuXp0LMx5tJSRf3UgIh5SkXdf8EVPhzLz0ZzAI+Pojet4IPOXTAHrZPu67Yl7d1ipVpTqpVCqkXoXWxgmS+NraTcavWb++4zKjxxSLowC+rlMZw4AU/MlRlmmUrVMV6g3Rq46i322aFBBSFfe8EmsYnRR04P33T/PoM4IaTtVuqkd1Ryuze/+NaEYfTzzxKJ31Rb22PC8/rJJehnItoLvSy9FLhpS6pryNjk3QU3Sg73usrMgZJNV0YL/iU1c0WrfTp99t6vikDA/Lc9poFgtjZXuXLax/UQFVqXtYhthGMo9fd6sWeRmHliKMV9diBhTpVdGNe5CAM7o2DVWqPPWNbF4GkhoHWF3cbFopPNPcZrBRk9qA9mnz9DVdmyrVATu55RaGJ3bS0KIVh577Bn2HRDSOFicv4OT+h2esm682ifAUkeRpNlKSJHi61gwPj7KxoeTvqSVoyD72Pe++kc9/TTK2ArUPOnObkqYMirDLqR2cnrt1xOZt06xeeZ0WCqQUEV/Z72KqddGJ+sAoiWYBZbQdXJbOCHmRlwL6Ly2sZcVCZS4LIM8IcucWnzzryjO87QHZ74dHQJMqaEYV0kD2iRHV52ofTmgRkYEgZGlBzhoTE9McevYZaftaRntT4eDNtwLwi7/4d/mVX/k/ATh05CTVUNrRXX+hJKMvpZRSSimllFJKKaWUUkoppZRSSinltS2vOo6uMAjYMjMt+eOal37b3fdjtTbs88+vQFcQCccOPwzA933v/8xvPStoo87mKg31Jq+trhBriGBwSIbiwIH9jIxIJOrQ4SMugjg/v8jFWUGQPPy1Ze66840AjIwcBODJ9dPs2bsHgNGRIZfP/cLzz7CxIR7w2rCgXHqdDrFGIIYGqtTHhVhtz65trChK7dhp4Qlrb64CWbQlJi8/DEajUb6ih3pxAhkBox+6CNXwxD5OPy9kek8/KrxctVqDrTuEZ2Ru9hIHlCPhP//2R7n1dmlPRoL33/3Cz3PP6wUR8lN/6a/x4V99VH7Hi9x369sA+Mjv/iaDNXELz10UBNp9B99KlEr08y//8H9P3f5LAB55fAerc0rsuSQe8bAS0GtKNPZ7f+BHeeJxQZv94//pf+TRL/9nrpckScLa6hqdbh9foze+H1LRse33Wnm+fRb1TyPnhPd867h8CvQGVKuiN51Oh1ZbntnoyADZ8ztx7JTzcN9w8Aa+910ShXz8SRm7hYVEIv8oj4MiM0xl0HE+OBBX9h0Qz3tGTG+M439zZPUYh0ixaVQAO6VkkfWsDLCkhzvIh4sGJAxjrEYklfgek+BptCiKYxYWJAKe9HpMzIge7tolHvtKbZjKoiAhl9dXmRwRBGDTfok908LX9Csf/3sszoo+zJ+Weffn3/83aSkZ61/5wN/irzZ/GIA//GyHzWUJt3384x8HYNuWGWZnpQ2hV3fcdRi0xP11QLIarTLv1el1lZjUz7lvrCXnoCgivrIIEraAwLOQIUGUgNh4xpEmh7UBh8CI4sQ9/0cf/yLveY9EPl48ItGS1bOrrCxLRGtjc4OLyjt49OhRF7V59KuPAHDPva/jnrsE3XXu/EX27xPuk2ptgAFFJh59UcjhU8hROWlKPqbWkTS31tcA+L3f/R03Z8YnJ7jrHikCsm3/nfg9WfO+8aisUXGvw8IlyeO//01v5OknHtWr5nEZhzpJExTYShzDU0/L/e57yzCxhmBt2KOuYxV3dPz8BgNKXD0aBvzEDwui4HOPnWVDS7H3VxWdYP0CzUaacx4EgyQ5bPA6iYWkm092r5ajAtNegb9QI7V+A2uyAemA8i0SdxzXSza/TVBzaDhDjkixqXFFJuK0xpsfkHn79POCoFpYAxcji4sRydDxpmTI4iQySsIMtbqh08uiqIUodyGS32kKSidNoaHFOlZWVtxXMgTG3OwFfI169jodRzwc2cCtQzar0W4jhwpMrOeQqfhVx7Hk0AE2IahkZHQeJw7LOAxvq5FqIwZHYbwhxWaac7IO9nsptVTGd9vIAJPvkOfytefWSDrS5talAh9YkhHChwQaLY5tSuo5RbsOYrBJH+s4nXIUrxDz67sOdWccWtxai6loifpuoRCG/m1ubBBnS1dQLRB/GxIteR6YGrffIvvis6k858VTa5fDM3XdaAwPk2TooOxafoW+8pysrywzs03sl/m5BVZXlRxco+1pr5MjGvwiWtkWNk61paIUbMZ95eMrqizpeViv497P26hmsw0KxP1xIVqec2QGGm1O2z2Ozsk17rwNuk0thDFkWDovdlakCLW4H1NTVNnEYMiOB2Tcv3poheaKzqt14+5Bmu33MDoqyPu9e/dx7uxJrpfY1NJp9wSN5NCQHuj4k1bpa7l4o+tRu9116/bE1A7WVgUVkyYJzZZwc2U2WBx3XNEN44F1HFJdqorOHahX+YF3ib3w+S8/B8CF802GhkTHrK3R2lRkXFBzxaD2H5D9sdtuCm8NAsg79LzYnEm3TcbBmqGp+53I1R1YXJhlcFBsms31JljlZc3WYFKHvMKEgghGbfaMV9PL0PqhQxDatI/VPZ8gwHi6f5Gv0Z6+l8TwjaNy33dsH6K7LvebGa+54gBV1f9eN6WhROHbGwP8+I9LhsRDz8zRXlE0RE5TSVcLWo2MT7K6IOeYTqdNODh5nYplqG1pcn48sU1zpKIJM67AjLfLuMIMxngOvZvECZHqnSu+kkSuUMb+A3uZm5M+9Xs9FmbFzrh4IebOWwTdtbgi90g3Boh6cq3Wxgrbd+wBwPNr2Iw3Te3yJOq7NvpBQE05RFvtVo5kyvhusbS1OFK/3yeOsj751PS8aTXTYueu3dTqsg9evDjLetZ/YxgcknNqRoi+uLRMku15KQXuPj9HqTp738PXMzO+x5NnRJfeOlUl6cs1dkw1XNszXWq2Y+rKw7l9oMHuH5DMm4eenKW1rueDjYzrGPcMfeM7buxKY5huc5nrI1Jc7NypI7xB+axr1RpJJBkfUjxAMZfZHAwq2Iz7LU3wM4S1jUnVDmoMim5UqzXWlSfWD6sYlDQ9ipxtGfdj7r9TUE3n5kR/zs9uFDbWmFCRwlE3ys3mTKdMcZLl3LjCh1gsDoPMG4fi8+lpgQ85f2QZPxnXnyXnqpSxkoGoOHukyK+WN8znco7KK9rrGQLly4yjiK8elzX3ex8cpdeRZz5TN1hP9LiiS9xmlFDVdWnX8DAH94keP/SNowxMim5vroiepEnC0SOCkvvoxz7Bjh079d41jhx6ileSV52jK0kiNlZnOXjwAA/cfwcAX3/yEPNLclgaGptgU1PQPD3c/9//4p+wZavAwk29wu6dAumOehsMj8iGta7VI86dOUq3Jw/1lltuIe6LArzwzGOMTsl3/8KP/wLHL30NgGOPyiG8tbrIiaOi1NPTUxw9Lu8Hfsiu/ZJutWeXGGZPPvUNbr5JSNr37tvHuQty8Dx97BjrawrTv6yqUaaQecWfSm2Ae18vh8VmUwylw88/TRCIssT9NiuL4izbWLvEjbffBsDioihOc22Bs2fOSLv27mVhRVM744AXdcP3lZRwzx3j3P46PZge2Mbf+Ad/GYCZLRXe9a4fBOCG6Tdy+50yru94i7y3OX+WP374SwD8/X/yXmqatnfHvXtZPCdj/LWHJK1zdW2TrdsUiru2zMlTsgHt2DbBP/qnv8n1FGssfhA6wtFed52MVNnaiqvYlcHK/cB3lfCSGPwshdRArDD0cSW67vUbLGlVlaHhUfpqvM9s3c6pU/J8/sOHfpPXvUHGbuFIRv7t41jD0xSTwW1JHLm9jbIqTz5+VhkSQ5pm5MaJIx52JOfGQLYZkhTQ4R5W06PcW8ZzkF0hwVXDIpnNN229V6U26H4Z9Xt4eiAdGR4iVMfaC0fEGD1wzyADQ3tkfPw1XrggTpY7bx3ijgOiZ1PVG/nbH/znAJzbPATA9ECd5Q0x9C/MPcwPvl4cskcW+pw6JHq9cELTE7waRolqY9o59JaUmZkxFjWN4VqKTS39bp/h0Spddcj5QcDklDBaX7x40RFhJpmjwCTOeCNNQDcDvxLkKOJYjCIrHwAQdTfwM1LVsE6YHZa7KVuVFP7DvyYOInzfpW7/3kcuuY3RN5CoUZzoOnfk+aeY0YIJN998kI/8/scAWF9eAps5dbRqSlDLK5dRSNf0Ko483R0gTeDmV9zvs6xO9NFKwDee1HbqmldvDNNRR+HjX/86nqtUWSDE17Vp+83jnHtO5pc/EDKzVw6FofUhki/PL7TZMqmOt5Zca3wSehW5347to2xvyPVuu2c/h5+S9XhhYzFvlnYtrA2RklU+axKqg6VYT++aiQkw4RTGeNhU9jQbtyRdCbCm4jzrRp9JmsTOwLW+D9GaXMuv5oUpguygbgl0XUlSkzvAjO/IiVeWu9QHxMG1eC6b81Ge3pdGGD87kFZyp66OiEn7pHoY6PcDbJJV3MmrexUrPGbofrCsrixpMxNHdJtVbez1e644xpbtO93zWVg8x6A6ZBsD4oyanzuJ1RQCITXWA2RaSDWvyY23HGwwf0rTQ8KYse1y3wE/YGVZxufSmS52i+hvVoBm0KsSjGhls4rhpikx1E6se1w8Jv2oagWr3nqePpd2m0RZiiVGpsv1YpPwLCYICmnullSrqCVpjNW0MhNqSllQyQ/Znueel6mPkGq/A92jkiih01GjP21RTMFKY9GJleVVxrdJ2tmF59f094OMTMp61agFXNRiLCvza7gKfdmAJD2sOpw2V+fZXJNnUG0MF7K8slwz3x34SfIAITYVrwbkB4okzVN7g6oWCAHYxGZV6dxD6eeVhrF56pfxXEXcYEDe27rf4+JptRlqIdPTco8gTonaco3HvnyY7TPyu/kFWYN3TYwzskX0x4vW2daQ9p7ZOcCCkvAuadVv0glXiAFSVtV+7B9LXeXo6yIGUWGvmqfkmJwWQeg4JG09m6dpmri9Z2VllszGwhhHkZAUCZJZk0sxAp7aRUHIqgZtnnu+Q2NUnFYLJ1X38NnQKlx33fMGelodcWZmzDlDMgLpgYE6Tz4m9uf23ducQ6HV73AltQbWkGRk0p7PejyvTfcZGJRDbVufidiLurbZJB+TxANNG8/S2Ww/doUQIMVolUep2pylTcnznd5tmDurdkXNw6vJ+15k8PQot7yQsn1UxnWlKfbcrvERBvUgum16mt0T4px4YT1hyZfvdJXOJbAj1GsyDoHnM7VlDwBLK0tE/R7Xx9OldBupzQ/P4CrsAq5COTq31tZWXbAwibuk6pzbvnufS9lamBfvnV8bYHpK1p25S+fyNa/fc6nJzVbEvhFxhnz+j8XepB+5/TVNYrynRFempnfywAPv13aIc/rUycOsL4sNGrdXCIbkID44OECno/fLKlamOKdHikdNbQ/fD+howYRs3V2aP8/omAAkPvBjf47GgLT3t3/jN8mMoY0NTeHu9TBBRjZvgCyt0Li1zq9Lf7btgvMXsub0qY/KtQICfJ2jc0t9tg/JPLi4LvPohm0ThBogrDYMu4ZEr3bsHeLcMflOc1PXozR/fkmauj71e10qA+KQ719jh1ecpKyuNgnDGk994xvazhECTdf3fZ+leTlbplkuqonYvnMPII/70vkz8t1KzTkO221ZU1rNDXf2WZo9lzuvPKkMCLDRTLj3gfsAeOHXvghAY3CYRNfJbqfpgC5eUCVN870SEGfTZfPMvPS1c17h1tRi4rTFuAIOViluPK+CzXQiiciDlXnhuvw2af45nlQjdp/JPQIFthw4OMJRffaEUBtSh6YXEGkbTs21ODAhdsVsU/q+d3ocT/sZVBK2B2qbbx+mOZ8Z+rPa3RrZHv75z36a6S1yptq9az+jo7JXLmdbx1WkTF0spZRSSimllFJKKaWUUkoppZRSSinlNSGvOkQXxsMP6gyNbufhR74MwIXZi/QVslcLAhIlsZ0eF4ju0tx5egpBvfvee1lS9NfKyjoLi2sAdBWuGffb3K3opU5rgekJ8RZW77yTc3OC0nr02Yd48vHn5dobMoR3v+4BrCsTbtlYFw+w5xniVCILZ9UjOTo6xpkzAit/8ME3kGiE8OgLzzE4LJGHRAlN25sbDs4vpJUaIfSguZlFqyRCc3boAhsKqyRq4hA2UZNjRw5pe+TjRqPi0uuWl5e4783vBGDPrp18/ctCjP7iyafluheqfOnjPwbAX/67H+R2I1HXZnyAo4cETnjnvXs4e1bu8X/98ucAmF88S6xw1d0Hb2PmVkmJGn76k6xfEI++ItWZmpxkZGwUgFNn5vA1JSBODE8++crQxD+peJ5Hoz7AWnetQBo6jLF5NNkYjchlJexTm4NX/CGMQumtTR3a4vwFiTYPjwy5iF+3azG+RGdm55YJhkW3dt4wwXPPKdltoG1IgkJk3+YOfhvjyqO7yHSO4jJFxzu28J0swlgMFpgcVp2mLvKaIywgzaLCJigEL3xSkyHFNNUg6rtIGQY8JR5vtgybmj5QHZJ5efQbawSBzKWRPW3u3ydFD9Jui2ElDb3v3pv4G//b9wHwhr2C3Hr7236Aj3/yIwD82E/8DP7OGwD4R3/vAH/n5/4TAPPan1pQod/T6AVhXqraGObnF0ii61He2GJsn9X5RXwtdx/HHZaXZf4PDQ3QbOZkoiDRX+PrumEajsjY9yrYrORvRaKZtt/G6ISxiSHRKKZJLIPbBb3y9ne/k+efl1CdX9Vn08YRhvt+QKxltxNjGRkXlOqGolWazU0+/Yf/BYCDN93B3UpiX68YnnpK5uHSokR/9x04QFPTbWYvnAGTpa1YGoqUba9n5NCpS2FbX1nk+RekDXv27qNIxg/QabcKXJtJro3GUFUUW1/Joy8ctliNHFaG4UfuFeTuQrNHS5rG9q2+S6m7bccoAFGSMjMuEaaNdodj5zXNddBnXdOpczLOXMIQV87ZeDX61wXKJRKEAZMzkywsrGAVKeqHPsbX0tRRD6Oo5SzlVeZj1ijPIQSxfUdo7zKsfN+tz6SpS/uyNsWEMtlvvG0nZ0/I2FijUcgwRxbjBdgM4WISchLmfK30VH/jfp+wKlHzOM7TpvMlyweXppOSpoU1Rud1XVEXqbX0utKe5cV56lnEP03ZWBf0mzESKa9VK3T6WXQ5T7WSLLZs35f14NIxJCUNGNvq8cH3Seru4QtrLCoMf2gEejqHdjYyBAaket1WP+ZxJVvfvyNk9og8m24WQSZxvR4Y3UlrQ6OhNkO8XDdIF8YL3NWN52Ezgnny21pdx71KTVAogI177jnaNHaI3WzJt1FfUwQR9KzN96bKoBYV2FrjmW/Iup9W5fe3334vdS0kgu3Saa0BsLK6hNFiEIES7CZxRNzTsG2aT7xeu40zZf0M+Rzg0qorAxBl+2ohWu7SeRIclNAabHatygiBohfizkZ+XTe/QggzUuHUEd7HysB78YRHqmlJlWmPB6YU0Rd4rOp6vGWmQqJz5dadkh4TpQmJonjXo4RntGDI5GDASU2ldXtCu3oZcXFzU/fdzVmXMnh9xAOGBOnnUjVjR0RN2gQ/KwAgz9fzA5J+RvKej6MxXp5CrYWg5DlkxUAseKP6OsXU5B6TWwIeffRFbU6emprZNM8+86jT6fPnTjs0zJQirLvtNlZtu1MnXiSKCohlXRdNUKCP8DNakEDSu4HU+i4NzVNbSFAg2d6RI52NSR1KyaVikkg6OkDaw62G1rh1KlPX+fMGm2TpQl3u3itrz7aRAU5q2tTOLVWM6tM9E2JrRkmCgr9YWJjjyBlBd7/jljt4VNekhcOCnIg7S2y2pG394W2MK5rorrv388wTj+QpyddSLEqCXUgrJs3pOPBoqD01rxkpGL+QOVV1aPHVlaUcnZnphDG0dV3Zvms/Z09LUR3jWdB9bve+SV54UeymsJ6hhvuFvc0j1TVtbu48y0ti10xPip3TaTcZ0EIqrc2USEnjo8Ti6bkvO9PhhQXGkJReN7ObixkW8tDXm12iRPbfhx/+Alu3yP22bt/L/LwgrUeVoqbbarl9d2JsgtVNPQtaz6XdZyCrC+diUkUohtMed24R3R4KAzZV33bOVAj0eT8wLWfMfpJQD2U9bnX7PHlO0FF7hqsc38hoABQ9bSquH8bzqSmqqh/1iaIMgXltpV6vccttN/LkE9/A17PPrt17mZtdA8Cj5+wCm6HSE+ioLdFubjrke9zrESj6M9A02TRqEuleEfihK45gbUqk+jowanjiCTkj93T8eu02nup2JawUzmuGNMl13olTBJPbocbkmTnJS79rSR3yPQwq9LtqAGvqdJokDAyJrrQ0CwygUm04ezq3eU3uLCAppKT33L6aqE6dON0myNpQ97hxWtbw4TBkSQdoz9YBhzC7e5ecVaIkoTYq+1i3F/HcrGRS3DDo8enHsuIB2qyo7+Z1t9vj3FlZw86dvYDNCi59E3nVVV0cGhq3d73ue3nwzd/Db//2bwAwe/4U4agY/6+/+25WFIZ7+DlJDfM92KXpivWhMaoK/z5/9jR+LBNueEwO2wsLS4xOyaTu9XtsKI9Au7XBDTdL+t/ywgVWtPLEzE7h6Oq0WzSqGSdEXXLvgZ27dnLPPZK6uKgHxKeffJJ2W6vP9DpUlWOrUh2gp1D5iqbEWBuxpnxGiQkZn5BNevuOnUSazz8zJRveyZNHMJ4ssGfOrEJfDOg4TrGejI+vaUD79u/mwnlZpG6943aW1qQ/f/Ev/DhvfpM4+v7RP/7fAHjiyc8xtVXu+/yLx/mVf/Q90p64S33nXgDGx7dz4cIZAKqqkC9efNblc1eqDRbVINi2dRtHviH3++qn5RnFFh5844/KWG+uu5zo5aUFJtXZ+JUv/IdrX3WxNmi37LyL+blLbhO3hIVKi4nL9c8MY0kNyrgEclCk8ft5Oo7+ftv2XSwoz0FiGwWYadtBWY3nuRRDm8FXU/c/xxMh4rnKGLawAHrOwLeFCmKJS0HKuZ/A+AWOLz1AW2OxcdanPB87X29zbpvxiSlWNPXM9TdNXaXQTmeDUHlOsLB9u8ynZls2VutZ9t8s+hR5ffbukAWuNtKgny3kqccN28XBddN+cWh1oi6HnxP4+NDYOMdV39784PdRSeQ7/+AX/xkA6xttIj3EmbhGxltmjAUbk3QvXPPKZtXaoN266y5azU3WXaUTGB0T5/X6epM4zpyi2a9iTflAHnfm3MLPD2o2e4YBvhre1VqVSL0sicU5ho3v5RVmVD0aQyMEmtoapfIfQJpEpK0lvZ3qWNwrbHCBO1Aav0JtYBSAXXtkLd23Z4ZHHnkcgOGRQZbmxFCMeh1y90V+4K1qtZX73/QGThyRA8q2XXt48uuSulirSxu77Q7GzznVMu4Tj5SbbpFUlbYGLs6cPuHOq17D8u53yVjXBkI0dsH6coe0L9cb0FSryCQ0so2zl7CiB4XUGPodeR6nD4v+dJuhS4PyAp/UigFRq21386Ozceg6VDZr2HDwBlKbEPfknsaEWHUik8TucG0qowDYtOf4r3bsvYtEjZz52bPyGeD4hky2liFnjMx5bTx34LCkLoDj0iQdn4r+NPvc+C6F0qYZvwwYo2Mb4Q6LoUmJM4d9djCxaQFjbl1arBfUSPV1VlWo32+7381MjbO0vKlt6zuj3tP+pDYhcennfXcAsr3N3IbMuKjiNqYi3w2GDN//vbK3NiaHabWkT8vLTfpN6fPYiPwuTlNCk3Pi2GEdBw/OH1VahGPy3JKN2DnTcv5NkDkTABewtndN1ybj1axX3aFrius0NpFxs2maG7nZWHn+Fc88m2gexSqdkD1nPbAlCTZWXQt85+A2vk9WusxTioWwUqWvKY9BWCfUFKtup+8c8l6QcUdGzmE9uWUrTU3ZSdOYXlcDBOo8qdXqNJvqQDRQrILnCqI5TrqcZ84UnBgmqOKrER331wu9zZ5dnK+VNslTIjMd9qsuO8+rwXu/T5wGYc3HUz6fxUubtDflHoP6XhykDOnBqtXtE9cyTpkqs7My308cUuO+7UE6ojep4gXZ4aZOqNfrbbx8Nao/qfhB3daG9tBprxXWDeP4fTCFdNCs0m1l2KXpeBhnZ6S2wPmW2Uem4oI6ekH5bpLrr/ETt6/n3lvr7DWDcXsHhnxt0nsEAVSr8t7uPTdx7LgEam1sSdRRUW+M6u89RzuRxJaKpkeTeGzdJbZHWx0Wu3ZMMjgkzr2Txw9z4YI4d/1wzFXrzridbJKvBV6linVjWdBJ7VoStUDtKlPp8+d+RII6Q6NVl9I7N7vh+EiH9PlHXkJVdbrXT5lXZ+jQ2DibXWnnl/9QDub0oarpk0F1KOd/WliUQY7PXPNq1cav2aCxB2sLPHeYy15nXJRZGrznh+SeeZvHXYidzzrRPaMSBiRqBw8PNRy349Liokt/9CpVEnV0Zqn41kJVK9f3+51CRMYUgjMuAl2oCJ2nnWLzqos1TQltNBqsrmfrbuwcs9Mz01QqWZqZXO3cmTNu/4SUsC5p3rt2TjM6IjoYxbrHL6zRbWs6d73CwmKW9mVzvsPsbGBSCLSiXd3jR981rW0LyTyICytNEjUWR/TMnNiEms6jXj9lWTlKoxTmF0SPTzzX0ls1IM0oYGLneLI2r4xM/8w1XZvCSsOOTt1Ic7PN1NS4ttlze8XG6iIVtUP7ncy5ExPos6nX6i54a3wflPKgruCZ1vpyzgOJACVA1rAsEz4IfJICJ7Lcou/mNklKRe0Y44UEWtmxtaG2eDHPrrBfgXXcfhknqQHnB5CK8jI/wiAgygJrLrAzAEkzb5bLyvcKcy2/FWGBL/iyD7KO6iyIY/faNDx+5oclbXdqbNDNlGMXV4mUEmq0lp9Va85ehHkNNrbjPmcvyOuTT2XBh/pllBt5EMBARp+Sni+rLpZSSimllFJKKaWUUkoppZRSSimllPLalldd6mKaJnTbmywuzrF4SavK2JhIKxt+5eEv4IhQteJUtVJnMasecuYkSRaBFiY3AGL1PLe6KdsyeN+lE0wpAf25bod1TTGIohzRM39eqsUEYd2loo3PzLBlu6AemhtrHDok37l4QRAPq0tztLviYa/Uh1hYEE+u8VddxYet2wUp1u10XbrG0sJFlpWsc211mXe/5+1yvVXxQK+ubGAyosAKNEYkdbPV6tJSNFWikNHZS+fYsVfauLy5wdi0RBu/+JUvc9NBufd/+Pe/CsAP//iP87d/6b+T6xKx89a7AHjhzDcIVwSNs7J6hgX1mgcbMr7LvT6/+s8/DMBv/OYvM71TokOnLx7ihvvE2z5/6gAAR48e59ln/giAsaEbefCAtO397/8Zfu/DH+V6SZpYNptd6o1R51nv9fquQkiv280ja5qiaLwKqQNI9cGlCFiyEG6W7jg7N8u4QovX19ZJXeQycdEb36/RTbP0lQxB42Ft5vkmjyYVHfxZxSwDxsvQaAmNhoxtaqGnXvR4U1JpGoMN2ko6XK1WibVPvp+6KIRR8kJsggtTmDylJulvsm27RBMXVXfTJOKWm6XAgl8xrK0LxPzYsePEGkEdGxcdGxwZ5uJZiSAOb6lw051SdXFh8xw3VCTSMb8wz/qmIBmPPC4w8c7gNDff9hYAhup13v2enwHgwuwp5hfPSDvr0p8hGmzbIWlHh76RV5+y1mgU79ojWT0/YHBolNmLZ1zkOrUBS0saWTMBeaQv+5HJEV2+hSSLgFmGR7M0Zo10bDad3qW2z9CooB7XVhaJOlp1zNiXoC26nTa2p8+5PkKeHuZJFU/Axq38B1l0xyMPtCd9/FDavmuHPPvZixfYtV3TcvuG0TF5vTh3yd0j729Okj5Qq3DzLVItKyHkHe95LwBfeuiPARgaGyZBIjnvfNe7OXFGIuLHjh3n8OEXpO0FFJDV9IM7b9vi0gNM1bBT03vGrGVD54Gva9PxtS6+jtPERJWeko6GNcPYVtH/U0fylBxXiMH4DA1K2nWr3XJp4y6z6RqKtSlRv41NWnhKEC7QK21LUMParLKO9KVSbRApeu3ihdPk1XK8HMnpqkBFePpMkjgpBNB7eDm7dyEVwUFhSBWx4/mhQ5zatOeiwdYRrAZ5MY80pqapyd1W17XN1IbzNrq+9x2CNE26+Jr2kBFv2yRyRUDa3RQU5RZHMVkZzvSyOZ6NQ+pS7Ey9im0pyrSn+l9pYJX8eWI6pNnX6H4/YltdnsHgUMJioEVHtL8nW13qtbxqUlerfA2MBey9Q+bYhVOy9ya2QASL1SIzUGs06HbartrutRUryKU01dRTkQysLJHjbLwyJKmf60rUxtQzlG5hX8gI3/vWoZcsFpMh0tOc1DZNfDzV3VhTx23cc8gLay1RnEV4E4dcTvu67/q+Q+MsL8y76LYlZnJS1srlRUnzabdbVBW9GdYGXERfoD26Vyaaiuv7hcrJCQSj+nlM7AYoQ6aGsk4DXthwaecJVWipDmWE+CmgiKFd2+sOVVjxDTsHRSfGpw2zNbHpKpozdHy9xcCkfN7ttYjiLFOgzdZtssaeeF5TuDzfpZfKYj2uL2OStIiIuraSpomk7HlBIbpuqWp6YK1eZX1V0CVeReZ3Eq87VGBqA5z94lUYHR0FoKKIpdWVFRJdnz3Pp5h5kuNpEtLiPAJsajGqv5WKT2NwVK+3mldCJLtujXpDiYyXVpiZFrTM3PnzeEosbXQtiPoR1XqG7knpd/JU8qFBafPwiDyz5549RKzrycjYiEMFJWmOwLVuX+yTkYanpC4dzxoP9Llnld+wnpt3M1urdHryuh5bdo9qilU9oq+o8HpL9amVUh2UtSuJ1l0W72Z/lcawjmW2XntVIp2PW3dMcubMKR3qFBPWrlNStZX13ngOjeb5gUMVCzm3IkHdvp+nh5oCvcHUzDb33YvnxO6b2bGfxUVBuXtBla6it4kjbJCtIZ5DcmUV13uRdeuN71WoVLIq9wFdtbcyRGcSxy5TMgiqxFmldpviqx2SoW3WNmOni8MjQ1QrWvCk0XDjHWToJ6ezAIaoI+vbpfMbnFCk8BvfIufAkfFJlpYEjbfeXHBp1YHvuXRs6xCFiVvHts1U8BVJ64U+M7rPmWaPVE3Tob5c65mVFqkiFyeHG2SMANVRn+m69PnEC3kFY2sLLgaTZVVUCDxN837lrLNvTyyQJtxxx+10lLrk9OlzNNckw6JWq7qCYRVNnz94y7202rIGb64tgpX+t9odBgeVYF5/PzA86qq31uoNFrW6/LZtu1jT9S5JrCv4leo8Dxt5BU8vsA65evc9dxOqbfPcs0KHtLE+61DFMmaFdEL9XawIPd/zXNbF+NR2VrSATxT3830oQx0b8KvD+jIh1orTI2Nj9HQ96zYLGR6F9MkMTWVtAfntxtxSrcs4HdhXcxUlE2vZNij326y1MzOHelfa9eTKBoNK1TNUrTAxIymNg2kLdE88+Uw2V1NXkdYEvstawqZ4qrtJVtPjKlIiukoppZRSSimllFJKKaWUUkoppZRSSnlNyKsO0dXtdjn64hEWljeI++L1G9mygwfvl9TMlZVVnnxSPKNxR7zG7V4bT9E6UsY4z6sONPpbH5Ec5S17pxy3Q6fVxFNv6papKZa1fKznvdQ/GEdtVlflflPb99DtCIKqUvHd9aa0xO2Wrdt49JGHAOj3Iu6+/60APPXYFwk1cj8/K0SD99xzD888/kUAAs8SKm/Btu3bOX5KkCJbZ8Rr2hhM2LpNEFIvHj7iSPVarRWqinqY3H6rvrdIHMv47b/xHu69X1BHvX7Mf/3cJwD4p//ilwGoVuGDP/5+AD71qV/h9CXh9to5MMWltTm9XovmivR/UpEm+22Tc2fPyJhVBzl2VPh8YhvTU4TJ6990k2tvTwnx5lqH+fB/Fu6u3//wx3jDW7/nJeN9zcRYPJOQkJd8HxzZQi0UT/LFC+086u3yiVPHGQBpjjKwVYdasY6MOWF0dB8Aa2sbl/GAjQ3Ls9656wYOvfAsAL5et9fLuSasjR2CxZj8dc4jZh2HDcbS3JDoVaMxoJwWYLTwQCdKnDc8imIXcbEJVJR4sd/N8vnJo99p4ojtt+/czr79Ulgg46L4/T/4HU6cPi0jkva4/c2Sp70R+yzPS6Tjrr0yR/fu28fSo6JDNx7cytiw6Et/9QInVwR5ltqUzjlBQHbrgiC6YbTODXuEJ++d976PRw59DIDnn32GSKFOb3+L8OF99o8O89yXPgPAk88v8frXv809L3ud4pL9Xoezpw8xNrmVgQGZk6dPHXE6YfDy0vVuXMGQIRas4yVJ4sitIXEqaATPH2FAS2Abr8PkpJKpr84WEGQxLgKkiNY0ifEU/ZBG7Vx3DTSGBQEQdxUxYy1dJW4Nw4DREUHhLc5foLksz+bUyaMA3HjjDTz/7HMADA6P8J73CMfeb//Gb9LUEu9Go18Tkzsch9dnP/1fHUfD4PA4zY2MmFTavbnWZkyRtGHoMbVLxqTZ97ggt85Ba1FMY0wiSCMDuEjqhKmxqhwMiTV0NmSMM56AmyeGWEjld3PL80zoNaIEGlUZ1/23iL4ffvwSKMlnkiQ0BiRq2mo1WVg4xnUTYzB+iI0jrBLJ++GA4zyKei28sEDYDMRxgT/LJgV+P5MjnU2G0PIIw2xfjMnLW5OTpXqBIwXO0DgU+LMsxqEMbGJJaevdqu73DrFIRFejrMIJV+A3ki9LoQ8AY/GVYyaJU8cx2O9mkfSARCOzGxvLjucG33M8ThmpOl4e/ccYdh6U63ZaPktntP/ZvEz6VDRCOD4SYGrKCVVtsJHI/tave3iKlmgrj8XeRoMTm9L30bFhxiraz9TD+vJ67x7Rq2PNTchI1elBKu93mz0EOXgd1idrIU3AeHnRELoOCQz52DuEniXna/RCHJzUFCK6GS1V1RRoPmzOfRbUnH4Y6+e8TbovJVHkQJ9pHDvuksTrueeb98HLUVzW4mVraOyxvLKatxPRxV5H1s1+t+N0P6gNEWf7G7lN6Ip8pBYS5ZgJG9g4QycoJ5MXkemSR8S2G2Wdj3sJl05op+Oc+8XXiPVANSFWDswpb4DZVV3z0pRWW9rTUiTm/sEGT70otl19IGRoSNrmBSGJ7gVbBazP7CGTz58gwNqs+IchSca4fiJrE4acM7S/QU95YXu9KsbPihdkFQsK3EXGI9NzYzyXyZDxvG3bNkZ9QOyC0eEBOj0tztSOOHH0CQBqtRpDWvRkYX4ub5dD+lkpbAL4fkji9F7XkqjF0oI+qyhmeofYLKmpOLq1thZ8agw26Oq1UotDYdo0ZVkR2zt3i523a/d2R+I+PzfHNkVALy4uuzNEzkXWZWBQxqkV1ZjZK22Mum2WTqueOoR1xXFXjgyHTremvBoXF0UvIlL6m/K7jOP81nqNx+ZlfkRpl4lh2ev6vnE8pjvvEj0+/3RMqojSs+fOaVErGc0HHnwHz31DiyZdU5GiSMZ4OYjLphhydHtG4l8sYJIVK7F4Dk2VRD0aiiLZqoj+lZU1d93G4CiVivS51WoKugawNnF2Wl+5T6vVGkFF1ua9u2Y4d1bOZLfddjvLygM9NyfPfrO56dBmUdTHqJ5PTk/Tbsla38sOEtY4/sgbb76duYtiCweVOklWKEiRrcb4jmzb8zxqiiprbqwzNCpn1q999SsA3Pm613P8hJx9Exvx/T8omRLPHnqBhdPyHPsZz2K/j9H1fKACfS2asXdwkMU10fPE9+iuy1j1FF34utERPn9G7PlO2mRmUgvN9AyhIsSmt8l3Fy8WEaW+Q7QFfp9bbrsLgOeeOMG1FAtESUClVmdTz91JnOKFYjenadvtc5HOwfPnzrkzEyTuHOT7PgOqS10lqw8rVadr7fYGE1qMoLm5yeiYrFedbpfpGUH912qiPysrSzT0THD8xUMMDsm4dVqrLLVl7PcdEH09eazDxroikNM0z+aBAuo64x81eLp3VWt1pqaEa3xu9oLy2Ck6Eoh7TSa3yD22bZ1hbkGe4+zFU/jqH8kK3xnfuP01NYZte+razxbrs8r9lS2SKTl/luk5/tytYY0Li7LuBBWfjWV5Hk1dl+4fHeWry9JPf6CCvyBruBlpMD4qY/Xm90hm15c/fSivXGe8QvaBoarPq/1NEF2vOkeX7/sMDg9hiBmfEahxK+pSV8j02+94I4995Sv6bX0QtVFSTdkzvod1qQGJ22DbWqHiwumjVLI0CcBqNSc/MCR9TT3wG468LjNeiDsMT+0FYGV1g6UlecBpiiO/f8MDUsGs0+vzujc8oN9d59wZOSz977/yf/BPf/l/B+DAwVu1C4bXvfEdABw7cohQYaUbrVWsTs7RETnc3333Oxkaks+3zOzi8IuSHuYFPt2W5NYszsth84ZbDzI7dwaAixeP8Rdu+0sAfPIzn+Vzn34aAD3vcfONt7rx/+jH/1/MjEzudMDDVxLftLvO+JBs7jWtMtiv1/j1X/97AIyP7sIk2cYEbU8rdKzJQldp4Igh3/397+dTH5U0piTq8vyTX+V6SRKnrK42GRxosNmWMXrwjtvx9QAwN3uaWEkqvSBLx0gYHFYiyCiir9Xv/AKRLahhjOXUqRPZS3cIrVWrzsm0uHiJST3YZ2ecSxfOu2o8vlc4TKYepHqYNFmVtLyKl9xDdbq9nsO/MwPBmMI/Unz93PMCKkpOuX2vGHyLK01aLdFjz/d54IE3AHDh0iKf+EOpflgdkIVxeHjEVaIZGh5kz02ysfTjaXZOy+Ja16qLx2dPsvWgELjWvdMcOiab8O6paTZmxZAaqw6wc5f87g1vFCfrvr1bnZP5s1//bY6elIqfly6d4NB50fWfevtPA/C5P3qBd//ozwLwwZ/9G4xqRc+11VWpRuWq+1w7Mcbg+xV6vS5LK6Lfk9N7aCocuNuNMFqhKktdMNg87TRJ3KHAGEukB6aselZQCekpSe7E+BgnjorXJ+13HVwfr5pXJHMVgyCNsl3Aw1h9bSp0M+euHu6bG+vu4BR1N1jsyppXH5xxm+DJoy/q38O4gwsJr3/9PQDccdddfO3LMmezg/LGxgqD6jRrrq04GHtzY43Lqs3otTa0ZOJDn/88e++Vzyt1+MBP/gQAH/mY6N/AyAiBOkR2jKUs6vzrRH3WmjIvB4zvhqSjRR9m223GBvRQ0ag756e1lo1oDYD9u8RYWTzbY3EucxJ5dDRtIaxU6EdXtv0aSton7VwEY9xakfTnXGUy44WF3DM3wV26mTh/ss9Tty44Z7vt4ZmG/sw6CH2axM7JnpLiZZVgM0LofjuHjhuLTTNHbdUZ+M4pYiPnJPTCkDRLw0pjjJ+tXzr2nVWnY16lrtXLZEmr6PtpltqNkEIDjE2Msa7FVPDyVJ+scENqxXDLfnfPG+VA+vTjJzG65mXOMS+wpBoAOrBnJ3FVU5fShKaS0Vd8Q1VTrIJQ1u1+dZ0dmoKCZ0lUv2MLkRapGR3Xw3xgsL1s3nhklZTzan7XwdFl8v/yVFM/d3p7AVYPtbZQ0dCllwWFCn7Gd1Xp3LNLcyeGVwldYRNIcxW0faymx3t6KLKe57prbELclzak1nNtG5+Webi+uuIoBcBzKuYHFbeuZsS8eD5eXdabtNMku0ncXcOlZvqaMmuTvOKoycfEmBQ8mWtZuosxBqtp1alnmNkr/Vm6mOBV6/p+7qDza5q6uHWQWA9YnShibV3W4AHPJ8wO8SPy3Wanz55tMi+D+iBrTdHtWlCl68u1RxrSh1k/cGkyxnQwOcMwlmWuq5gE0rRQpTl3KIdhhShLr9FDUGoCAlets0maVYw1AZsba/IdJbeemt5OT/VxdHSKXk8dNf2OSzc8eOPtJNrfjga1O52u09+wUmXLFtGdkyeOvWTPr4aGalWLtER15ywzXpA7ybW97ebqZb+943XiRBgZGebESQnw7d+7R64Vn+HiRaH0mJs9R6Oh+3fgY3RvTTtLOmIpm6ov27btY3hcDp+b6z7D4xJQ2WjqoddGTE/JPQ7s6pPoHFttdljYkDVrKMht0LY6Ly7RZm9D+r7hj9BWuyLFYOqiO3ffKtc9/9SLecpTbCCQQyRJzNcfeQiS65Cjj5zfjU2p6/PodDpYk1emy4ItrmKeBV/XzaBSdxXdgrDGqWMSfMv6Yaojbn0P6DM+I47HJI1Y1mdereW0EqPT4kAyXsiSHr6PnTzP1hl5/8Vjp5zzYHhoFIBuLybKzgGecVX69h64hUDPSJnjYPu2LTz8sIAX0iTlvIIBKtUqE1opc3llTfvZdg64NLGSpg+YoE5HbfOapuBFnSVipUzxDNQHFXgwMcK54xkJebb2WeeYO7Cj4eqPbHZ7rGhl8AoBqQYO17TYhwm7HJzSM2gKfQ0EtDspvaxQyHjm6CqeS0zupAmqnDqlEctrLKkVsEan3WT3HgV9HDnqKl9Obt3C4oIEbAcHZX7NTE8TZv6/KCbWPsVxxNwloU8ZGJTzTK8Xa6VwWN9Ydw7rpN1mZlqALIePHObcmczBrk6oap2OnsE9L3aph81Wm9lZcXT2T8sY1xuDrpiXtalUqAaGhobZzFLws303SZzteuHsCSoaWA7CkMEhOYe31ZYOaw0W5uVerdY6VU0xHBqeYnNT1zf1h0xNTVFpyOu19RXe9V4BpDz12CmezxxSWXDIWCKt4Hlg5xT9vozfZrfH7LqMQw3jKpT3MtvAa3PLsK6/9RobXdHd3dt2c1IL8NVq3by/aW4PVmvqrO936bQzZ/zLy3VLXTTGfMgYs2CMeeEVvnefMSY2xnzgerWllFJKKaWUUkoppZRSSimllFJKKaWU174Ye2VZyWt1YWPeAjSB37LW3vYy3/GBzwFd4EPW2t9/pes2BkbsDTc/QBxbul3x9p06dhijiK677riNp5+QFDliRdXYDnm0tM7lEVMlKdYoZ1htuHSv1Bq27xKMeKe5jFW4cr/bZb2lnnEtO+0FPnVFMo1NbmFRvZ7Dw2MMDErbLpwTT/LWHbupVcUbOj876xBD9VqIrzC8m2++HYCzZ0+5aMXq2gZbNUJ14vgzVDSCPKKpgmF1gK0z8np8YpIjhwXxcubkiy5C9dN/9WcAeOHwcywtShu37NhBS9OVhqYrPPuYIDZ+7pf+IgBHnvoUWzUi1CSlF8q1Rmp13nSjoMmenj/L/HnpX1ZufufUdt70zp8C4D/+/q8Qbcg4BNtbJAqh3aFIhRee3uTEEennvfe8gy987svydLpZigfAxWteJtuVXSfCWvFgDw4P02wqkaqXp9jkSIk8Stmo1+hoilRqrYOstxTmblPodLJooCkQ/OGim1NTW9m3T8i5n3/2GQBWV9dwEfIAUkUvGD/AGPVyO8JCz5XuTRLwA41CR5t5WkMhXTf3b+ftGRufYG0tI9OVaMO2XXu5dOGMtMH4/OwH/yYATz71GI9/+bPyfjVPZ8qyUt76lgfZyFLXBiN2TEnfuhWJJqw256mGCg9PN0kVVbFjfJoHbxD04KcPP8YtO2QOjA6Jzo/UDHPLAhn3RiYwmnr2yNOfolKTiMu73/hOAI4d6+Ntynyt1Kf4xmNSEOKRhx8GY0k6Z7DJtS2THVYH7eTW24iTmK6SO0ZxTL+XIbMK9NiFJcipRGpIs7SXNMboc/Q0vczSIO1nKS8Wk8GNvQLCIurja8Q7i4Jam2L7WbqOV7h36oi777pDxv25Z59xiJjJyXGWlhb1uz4Dmt7dWl96aScwZGvsG97ydr7+yJfytgFBpeaiWF5QI+0V0hU1ythQ9Kz1YmIlh/YqFQJFFA1vC7Edae/oDtXRrVsY6soa3O4l9HVtMrHlhvFRAI6tb6AZMSQabRqsVmhrGl2vAovLMqdGpmukujZ5mj6wdL7CuSPZM/RzJLnXcSmUtjN37dcm41u8OviDZCTOQtBuXFvyZ1DI6bBXPheAxF0jR4cm+Ip0SuLIkb8LslYJm43nSLRd+oi1JFnqnUnxAoX+2nbeHqN7rwkcussWyOYFNSPfTdoZ8sS61DTjVzAaCSftk6eNZynhhrEJ0cet27Zw9ISsLTZuYeN1vbXu7ZUK2VTBVqg25B+VUY/Fs7I2771b7lsfGGFyWNo1WA1YXRO9GBzw2T0s+nk26uD3pCe+tmu02mBhQ661mSQk2v/qeEysyLJR1cFHv95h9Uim/5YcFZkVHFjC2uiark3Gq1oTbkHShDJdCUhjRWiYnCCXQhEUTyO8+J5Dm9qoSyHHSP6mMSiKwfgGNzFMjvSy/djpmEt/9AKsS+O0OXGutblqK3peUn5ygtxU17x6vUGnk0V1M8SYT6p2FUm29iGoRjc/MvRX6Mq1NwYG6WcEwl7C5kZ23Z72zbo91RifUNF6A9sGWJuTZ3rgDrnW8MAAkw1NeY4SekrAHKawX9Gth1dX8VUvuh15cdOBSc5dXANgtR+zvi73Ht1Sw1Pi81Els3/kc2tEF0TX/Po0ILqf9jfI5rDtn7sOdlPFEk5jTMchRIOwRqwl4ivVhrNP+mqnm0qdqqLeupsr+ZIVVJnQYgKZXdxoDDE8Iu9VawMOtXLq9DHmL0lWwuDwJPfcKyjzebW3lxfOsbIq+1Nzs0ld04V63VwHMrT+wGCNQFEJKytNQfABNuljNfXamU9J+4oUIvkgHBhyNnmkiIPh4UlW1U7xA5913S87zY7L9ol7Mu+MX8FWMlSpIVSbfsvBcbprSjeyS/ceUgZ0fKqpoTEkn1csHByXs8fJ9iahLh1G27NlZITFTdGLc902yxsyFmMzNVfowEvkvo8/PA+rMma799/CnffcCcAn/vAz7D2wjYunH6XXWb+ma5Pn12wwsAuSlKifoVtTfLUtfbwMtEiaZEUA8jVqeHCAVU0lnNmyhfX1NQA6nWxd8fHUlhodHaLekHXWJgnziujyjOHAAUEAZYT4KysrLjOnWqsSKdrQM6aQNpmho1OsrkfT0zP0ouxcGbJF84zn5qWNb3/72zh8SFIMV1eXuf0OGeMnHv0yB24UW3lD+3D86JMO/W7wHak8NsVqQZit2yVdbWxmmiUlI6/Xh5jTDIuxLR4rc2Lbb9kj7R2fqrFlVNagpN3KUfzNPndsl3l3bHOT9ooSt6viTg82WNc0vsW4z4qmyY5O1nJScLWbnnxoBeIMNZsXn/B9jyRjDu9fuKZrkx/UbGN4D52eYUjP3UNDgyzNC0JoYnLa6cfmemZL96kOjAKwe+9+FhflOXVaa0SuEIroTBAYt3elaeTOul4YMDEuZ++BgQHOnJHzxvjEHrlWp834uJxRNjfWWF3TM2O/5+yxPCvDz5H6nuf2Zc/D+Sbyxchc/trRU+Rpo2FVEYVehV5WdMcmZDZVtTZIlGQFMfR5hwE7d0lmz8mTx/C0sMHeGyc5c1rWkhvvVPTXUMCB7ZJdd+7CLNm+WsPjoCIUT7daeJH009PuTjXqtPRcslarcuqijPueXZP4A1lRMpl/T3+hSUfXQ7ycjN54nut+2jn+srp03RBd1tpHgJVX+NrPA38ALFyvdpRSSimllFJKKaWUUkoppZRSSimllPJnQ75rHF3GmO3A+4G3A/e9wnf/GvDXACldaS0rS/PMzQsRIDbCJorICn3uuFucenNz4nncnD9Hp6dRp6DAq4VH5utLFMUSUsdmUeU0ZXZW7lHxLYlGG6NOC5Q4NCtJa/zAeVuXZ8+4Uu7ra8s0BqQE/Tu/5+0AnD17nrAin0/ObGVSc/GffeZJAk1kzZAU9VqVNY1QxXGHIy88CUC1MeAiUBvr8t3pLYPML8jroy8epa05wYHvE2nk4Q/+8PcA2H3DVnqefh5EpBqhnT+7wYEDEinfMSTe+Jve/9N86esfddfqa+R6/7478eujAKTxaSY1wv6+H/gLADz+xJccAeO+bQc4moqXe7g+yevvei8AX//Mh2V867vZaAkS78lHv0aSkRZjqepY9a5RKdqiPskU8LC24nLhPTqOeNkQO+LsLBptbUqs3umNuIlxxKQWi/xuXD3Z7dZm7l1PI4fe8XxDpyMRhdGRYUcGubqckRAmEGT3810UwZi0wN0c6L3G6SryrdtuEffXso5ilB8nj0bm5WEtYDVUtr6ek+5XNVp28dx5/CCLTld46plnADh39pzjbEkVETkw7Dkk0LHTRzmw/w4AZi+cYds9wmPzzPPyfN90/+30rKA4LszN0lKuubnlBb6h0d87bn0dYSqR/DUlZmx2+uy7SVBevV7C737qN7XtTd78gLy/tiLPavfOgwyGUq72sUef4tnnhHfuF/+Xv8wTD5/nsS9/mGshl+uSx9yFMzI2LqJiMBkapfD/PJztXV7AIENV+DWHmrBGyz2nlsExiR43F09is/kQDLhy6Nb4DhWWkZYbL8TUswh17Ljw0m7kkGCHDh0CoFIfdjq6sbmZt5PYFf/YsUc4Ci6cOVboT85x8cSjX3f9z5CGcRTnRNGiee66+w4eBKD//2fvPwMty67ybPSZK+x89smhcuhcnaNCKwsQkgAJIcAEgwwY7Gtsf06A08X+PtsYcCDnaIJAQkhIAoEQymp1UEudU+VwKpwcdl5h3h9jzLlWtcBgU3V9xT3jR9fpvddecawx5xzjfd+hFa3UbtHrih9Eps7mxoZsegF275XrrDvAS2eLTUWErfe6zEzJ9/3ukJ6i6oa9BHT7zLUvDxJ6+l5XbMSugypoOUwZafvxgzNSiU1WLJOzck/Xl9ISmiW6rHJ2JexyfzJArOgYbUufhwRO20q21186JJUp76wEugv8V5lW74wJSTXuVGoNUhXCDciIq/LuDYejUrxQZE469I0p5NwSf27OXQJ91nnW8ZqYJqpgrUNmDQodHH/ucYHioqQrl6UeITShiOWN5XW2FTXaO/YC5O58kgIJqUiJiekq3S3ZV5LlJF09bs9Sb6tP6qEm25ZIG7esdHu+zXuaZwxT8ZdGXPeI3VuOCKLk6ImHibWCPG4Tkppc03Y3o2ZU30PjYza0VCbkHEcbIwpE14ArOSW73JdCbShSvKd52vf+G0QV377bNVKRbTTIZMbrYGGKluZOU01gx06XLcLoGBIECZnTsbMJJtY45fTXLB7Fh7WFDiYhRivDuW4bhgarqAqJcfJs+slAmxvg/VKYCt4Z/TwNE2FHhcC27GxEqpMLW61Qbwo6Zn35IljV3WnIvhptyFzsSWPqdXlPti6sU6/L9Vcz+axdrdDX+9cbDWlUnPh9zlbPvc8ZDmyU6nUurnYY6r2OAsv8fie2OyLR8a09tUuvoQtVicvZYBUTlvTVyrHgCthl/mRCwiggjscZaLysVqoetTsa5V5Pyem+hIHxGlxBHJErmt8Y0a8EvNZeFG1yvSKTx8ba9PQYc7MLnDtzCoBBf40zZ08DeFH1WmOcQ+MTAJw7d4pxRc6dObdCrS7v58yENh5JhqxvyDwkz7OihweR1800DhVnaqDnTlygopPuOmfP6Dui6OVms0mkKOxep8/khDI9pkKPhL24JNdbnzCkqdyHUXck4ySwdGKT1qTGpp7sf8/eCbZU222tN6AxrvpZKfT1/iT9BI9q1PdjaXuLgaJbJ5o1oqbqmqWp17Srq+g6UQQVObdLy5c4dVpYGq943ev4zEff79+/v65d7ksRQRDQnphgWcXdA2MwqimZWevRLqFqEGEKpEtv0MfFzdWVbbKyLiWyZokibQQxu4f9B2RcX1pa5KI2SoqiCiuKwtvcFB9MswJt7hplAeT5iCgu5lby+5AsdWu3FSamZM67vrHCUOdNdUX2fvbj7yeuaROLwTaf/viH/T4+/4g0Wrjpllt1/yEFHiUojZmAxrQ1XY+15xvccETmUk89/hyZriXXzsPYmOxjUhsU1bqWyT0TAJzcXKOqfl6LQ7YV8be91veIRxebhnnmgceTpkrUKHxpa1nGxKDU7MhEDgUcFXpWaVY01OKvby/2pcFI3ufNDVlfJWnGNTdI86zzZ07JmgwIFaUUxWOMqTj8xtolz2yJglyapQChwpCGw5Rdu2UO0ut2qCjqMM8zVhQJtrq6xuy86Atvqy8FYeTRipVqnVtulef0xKMPe9+uN1Sgvj8sNc9LfQwKjPGi7+689A7oP0ExH7WZn6c6/SzMiEIws2gGMhx1qTckTvZHikStp1y4dELPt8mYNszIBuPMTOv9GTnk+zjLqhG4PUqJ9J2pBIauxq7hICG0bn2teoGjkY9LMQnzszqWDnsMt+UZdbdV17KzCapNGwRt35wI8Hqy/zP7PylG/2PA91trc/OXDMjW2l8AfgEgiqr29IljhM02jggxMbtAroLEUxMzVOfksp5+Uqh72SjHBf80TWhPSBDacgsoAE1QDPo9WkqDzCtN6jrpXV1dgUChsDb3k4gD14kA866FSR596LMAtMbb7N0vMNgLFy5Sb7SKfQDJaMRQJ39Li6c4c0L2e8fd97GmIoROMG9t9ZIfgNNkyIwKIto8I0mcE0kQPvH8Y0XkCPBdF9oT42yM5IUbX5gA4B1/7w0cO/qYXKcJeOIBedne/PoDmDEZTBozco4PP/MZmhOSNFg7fwyrNLr1M0e5NBSnjdsVgkmJgF/5su8EoNpqceKkvDiNekg4UNpQYy9Pa7e2yUMSgD7zwONEOjEK4xHNcQkm3Y1FhqP/STuF/w0r+1MQ1W21VmU0GvhET6dTLACgUnRVdBTGACgnL/QFrlSqrK/L9R7SSYjNY3pd7YIz2C4tkgsa2/MvPM/evQrvVzFJa4wXUCYvaEN5mhG4TllWfrO6dI4gluNJtzSdnOUZgU78Y114DPsDqtoJZDBMQQfOLO8Q153wrnwWR1UadXmX5ueneeSzn9LrHIDSf1pT8q78wL/+FpJMFhDDzoAPvFsSS3ffE3Py3B8BMDcvgeyRJx/iW7/xbwGwvvbHJJqM29Nu+qTPhVOn6CpF8zUv+wYAXveqN/Cb7/plALbXTrF3WiDb02O7ufkagX8/8OjnAPjq17yS2Snx2Vtv/GpuOiKTzW/51m9l/7/7CrK/goDhX8XKvhTGdduamCUMjU+yuHdUt/ZpIwd5NwgtFBABa0cvyxLQ99dRSa0J6Pc25HfVsYJKiymogKago+Z9R48CF+qD2liRQAgKoegJvVejLGeggqdpkGNiRzUKGOlkZ2VVJlaveP2X8+k/U4oiGYGKW07NzLJ0cVEvoxBxj7SjbDoon1fICaWiTO2R2PZd3/k6zlwQqPmJF05xaO9bABiuPclWqB1x1+SeLW11SFTEcvf8mNeZ3t1ukuobVg9DhjrR7fdlg1oY0+vLZxMTFfpdt3CHYU8+r+siaW17kY1NpdeFVYwmHq3NGdeulRtXKESV/cmYSNzEQFCR49h8iGv7Y/trheC2o6AFNQKXeC/9F2whMq4ZUpunPs5laRWjE66o2vQitEEAee5ij5tcGb/fcuIkiANsrgt466hedfxDsaZIRGSpp6mZUAo9NuljHc232uCyCZzG241L2vUrblCpOOpuhWFHkuVBZKk0db+6UH756+cglvNdvrjCkw/KtrfeUqM1L0morC/vR3O2ydlzsnhuhRGDjpz77EyVXM8h3U659S5pLHNpSfyi0mxwaUX+nhurY3SREdiAV7xUugZ/5jHptDzo9MisK+TkxXViwTTAXhnB58t9KbbYRISqHew/DPwkWvzDNa9QqkwQ+mckz0uTkMOObzBg/ErFYH0yKfdFuCw1fiMTV8ldNzGX3MqyohOjteTufLJBaRtNeBEUTTziFjbRpixx3Sf1rW/3CEHFCejXKaQrAqzGIXyDjmK5tb29SdBzHWNzbKTvhOsC9RVzbHXl+3owzqc/dlw+f9k0Zkr3NpDj9mxKpBS4WiUjUv9ZaNXJXFEpDzBKle2uiq91uyM6Wkhtj0XE+rskrBAphcYlJpKtLgxcjB6Ace94UeS6UuIkl/lTULVZFpBnuU9IjJIQcvfMulijNBltppKmfQLt/mzCKk0VFK5U6mx3XZJVnm+/s8oTKuNw8NABVlblnc3SLslQCl+BabN0QYTgV1aUTm+z4optzobOx6w1jJSSq7eZSrXhO3uaMCRUX8/Tnp/TWfcuhNVSo6EcH9OiCtb5kY7Hx559ppjnmYitLfndWKvBZiL3pDIr/vTN33EXx09KAbi70eGZz0lcOHIkYmqf3Ku1FfnNRpqQ6CJybrZFVe/7rlbFH68ZhIx0Ud7R5O1Epcr+62V+dPHMMaz679AG9DXp36y7ZhwhucboQb/LPfeJ6P4oyfh0MuCLG8f879llc/CwJrWvPCPSAkuWpH4+HgbWSyxMTsg9GQ77dPU9HWx3/WnlQUKojSVqTVnnZaMhI12U9/sdHnzwM3p9HWo17UiXDtnaGujfjo5Y1pcoxbogJnMvsFLF0qzwO2tilR6BaqVJoP6/95A0YDI25QsPfbTYtysWWDhwrVAXu1syljTrk/S1AVGWG78OsOSgjaCs5ju/7/vfwScekCZe111/E7/283KMV963h5l9Ms499YTEq84oJ17UY1RrJB3xlclmlUxdd6JeJdG1Rl/nhIM85aJSqffMNsmG6mtJTqJ/j09oDAgsOFCJLRc37WWJir+uXb6eq9k4SsmzkNx1ah4O2dbO3vVGqxib9Bkevv5Wci3+HT922neUTsKYpsZ915V59+75okOhsRiNA7XaOGtr8p62Gm0/ria6rxjYtVcE3fN8xNFnZf07Pl5nc1vu/WDk1gopRT8Yg8WJ45fePU93NCUQQ+kel7raFgWdrFT8sKW/U0ZW4mt9dgKA7/+/vo5T2uL86NHnWFuUwa3RPMvUHnG4xdMbAJzf2OD6w+Lbla11wpHsd26s4UfdGsYPDV3tyhjnhlEs73vD5Nyy7yAAL6ytsVsLmi+9V5r2/aNP/Rihk7pIRsV4j/UyQmlJoeDF9n8y0XUP8Dua5JoB3mSMSa217/s/eE47tmM7tmM7tmM7tmM7tmM7tmM7tmM7tmM79iVq/8cSXdbaQ+5vY8yvAR/8qyS5sjxns9uBzXX/2dryRVDU1Llz5whDzdhqpV9hNwDEUcSuPSKytrWxUVReHDzUpnS04tGoGzZ7rsoZ4URMJ2YW6HRVtK0it/Do0WMeShrHNToKvUuGQy6cE3RCQwXWcmt9tWBu1x4unJOq1Injx/25ra0KpDbtb/tzDyo1VhYFTkgYE6tIazJwAtalLK01vgXucDBkflKq5rumpQpw9NjD7Dkij+D8yePcc/sdAJw89wGiacmmjs/Kv1HY4sHHPg5AtRpw5413AvB1b/2HvPOX/7nc6w24eE4y2t/9zwTR9ZlHPszh6wQmPDtxmPEx+fv+W17Jb/7pz8vvBnJtd95xM/ZWOYeKbfG+3/0jfS45XLGa5BebQaokQRgzPi6VoPZYi2VF3w36A4+Kyp2oMni4qTFF5ScZpVQU1XJuUZ75+PgUrTERdxwOc98KVqoBud/v2bMndN/uWRei81keeRQHWHKlAoVOpNxaMqVIRGHo2+MGQex1d0cq+jcxNYvV66i3pn1VI826DHoqkJiqgG42ZKS8CpMNiVSocLA1hEh2PKvClVsrS7ywLpXJILGcPiPXs3fPPOsqFh5W5T6Oz8zyvg/9jmxbbXPtTXcA0N00ZGuPy/EGQxpVqaYcfUrQjW9+wzSXluS9uPHQjTz29HsAqNTa/Oxvij/NtsVntzrneFxRgx/+k0/zrX9HmiK88MIZ3v51b+DDHzzLlbY8S4VGbA2BVirkXqvYbAmGXghCF62os2xYQvwl2JE2NNDPwtqYh+kaE2AzVwEKClREmpWoR65qFuEQDXmSeRQfGIKqVPoGGkPuuvs2Tp4SYe+zp1d95c2U3kGHID1+bNFD+NMkI1Cx6pmZthfCX15yMo2W1CMzywjenJreiwmlmp0/e4EeSjXLBzzxOfGJA7tHDLQVe1erX9VGlb7SZbaTgKn2BACLqwNu2a/QdBOyrZTYUVcQULv37qN3WppubHWHfiTsbyS0NEbmDlJeDwgiV+0PsHq+loBO58pVJl9sYRTRmppme6uHzTbkQxORjxziJC4QgE7c2+YFqqVchrZ4HzFWqY829WhCCIn0fatWLV0dA9Mk9PQM75pZchkVzMVCmw28WG7h3qGH2/tzAqHmvpi6aFP/vVRVHVUuIogdPVwreemQQd+9CzGBolfydECqaMqxppz38tIS0az8rptv0leErQ0bdJRK1Kgpem95m0xj7agWcMvNMtb9yn94L9/+PYI+nm9XOPes+OSJ83KMzWSVMaVBjuoZPUd5COFDDyjtH0dtikkimQt0nCAuABVFCFyl8c4EBEGAVUSfwRSxIssxioRwArs2twVdy2aFUDyhR4tbh/wLjR+DbBCSuWcbmFLB2eKRVblD81U8jTEIA09tCyt1P9469dowCsn1vuZJ6pFCJqrgBeL1UHmWePok2MtuqRPYz30J2PjfT87upqdovGFvAzSmtSOlnXYtqVJ1k7wPSleywdC/VzVtRb++vMSS0vLn5id8u/enz1zkpddMANCsRJxeFgTfhTPii1uTGTMLso/RaMRIx+jd++Y5vSjzklEu8XH/tbOceVbRpkOw+Zhe00YJrXcVzIhvN+oxod7PXneAo3p6xWFAelKht7lAQ/Q7ct3DeIpQx8vMNTEIqwS6j5OnzkMu8/3AWM+Q6Pe32NUSEeQkkc82N7cpBJkL/4SQVBuRpDp2dLdLjY7CnNTrPEfaAIMCjWjiy1EUSsGWeVlBkQWE1uvG4wAcdn9zu6/0IYgb4rtrF5fYSuT+JPmoaLDQqJOobw30s7Q/InfgjHqF8+ty/kc7a7ztLpETGK9WWNXr+vn3Fg3vz2zKWPcP/19vIVVfn5mcZJCrUL5KXxy68TAnHtfGHts5732PSJ3c95JXYKIWNi3WXVfKKtUKBw/s59gLT5cQ4IZm3c1NhqCxyb2nozTFzaUazSaDkY7PJF7Ie6RUsV0L8ywtbQCweHaRSk2ezZ7de7ioyPM0yUsC1xrb0lGxnLJW4qGem3vmjlV0zTWH2dqWd3Jp6aI/t9bYGHOzglR/w1e+AYAf/nf/GHBo09BTvk1U58wxEalvTThqMmQOyRNEBcjZglVEW7MlY9szT3+BUxdl3h0FMKfonCztsqGKKKpUwCBJOH1JkPQveck9GGUYbW8MOFQXXxgNc6wiCF9w87jYMLfgaGzWr1cia2hOy31zjZhqrQpD17fA4FGSYItGWlfYwsDQatTJkk1Guk6q10Lm54WxcO7sSXo9x2gQP7h48ZynnQ76mx7xHoUBuSLUHTOjUT/A4nmh19o8YzhwSLHM00o72+v0unLD3RgzuXufX9PXanXqyqpZX1vFGCcrUhqPPNoqg8uouN4hi4v2f74IsXWZYD0av5wPX97IyLrmCdpc77Of/SjbGrfzIMME8v1YzZAMdC2hLImNjQ6PPvMYAIcP7KOK+MGDR0/x1bftB2C6WmWrI/fyYysbALz05XfQXZLcRyU2dDpyvFtvuJk/e/Djcj6K2m/O1Omed8HPYmI3p8z5qzRUvGqJLmPMO4HXADPGmHPADyIIPqy1P/fX2XdkrA/WANVGm1vvEgrh7bcc8RDkxx99QTbIhngdDBP4LjBhAJmbTDnob3uK7pZ2XRiMaE1IkNped93HYGP5PGOzkiQ6d/YUAMPhkF3zMlneWN/wtMh+d+gHzV5Pkk1j41M4vnK3s01FuyJsbaxQqzk9A314YcVj8vI0wSi32w47RYLLdWKIYtqTAtftdrcJlNp270tfS1fhr2FDBrxLmxmNNZl4xdVxVpSbm8Y5s9qpZmVZXugzF88xMyOBor814JX3fi0Ai+fPc/urvwmAR//0t1lYkEnHcl8G2PkDE0y35bObb7uV8xeFGnf/K7+aX3+/uMDsuFIiN49yTNYOdNf6VJX7PBzmOA2Yq2Hu1Z+dGWdSk4GnTh6jpoEoDGJGqv/gKDzlmG3JMH4CZH1ASPWZbW4m1HXAHms3GPR1wT0aUQSiyE9g3O/FdCJvcvTVgaBYDHpqssl9Z84wqnpKW5okhLHTRZLfbKxtcPha4Y9PTE75bTc2e5w5I1TfNHfXG6AUfQbDIXfcKboBq5vbHD8ufnTDkd1yps1J9sQCX13buMTua4S6W2+mjlrNunawarcimhWZmL3+Ja/il9/5bjl3m/P2rxdK44N/9E662vnywvJ7Afiab3o3ZiDvyr1338W+XXv1GLNcvLgBQLcjyaFf/+2fYbp1HwAvf/ld/Lt/+RMA3Hrkbk4cP+a3u6JmQsK4TRQOfddAgpBcNRriWoVU6RMuOAcEooOE0oOsd4QSpUcToknfJ9OxxicsCfJioR/g9QGt62BkqqCLPmNiLDJRCYOcPQdFK6DXlcVSGMVMTkpcOLd4oVjI5RmBWwi7JP3cBBfO6DnENVJdNN92xx188mMfB6DVlneq2+vhiwnGYIcb6En4xNFNN8nz/Ma3/x0+8tk/lU0J+cQLkkDdvXeSvKdJXB2kl9fW/bqmHyQ8pwnjRr3Owyfkvt6xa853bpwel8XV4voxJluSpD2/eopmQxe/echgU66jPyH++ua33sXP/oRM/rOe8e9oYCbJr9KEDaRuMUojMNbD6cmLJJPNQ6zzM4cLD2qlbqzG+1Ng8JTnDNfdMiPQZJK11s+nstRifJfHgqbv9eNM5H3ABMUEz0QVr7+Qu65KNvLd74K4XnR2NNZTqzKnf+L0BIEgrvqEXlhr+QSIcQmWLPFJD+wQozS1qAJWE1UTk3K+1UaNtS1Z0OVhQNyS76NWBqoTlPQlHmwO+gxVL6hqx/m/vvtf+XP6Z//vnwbg//m+7yGoyD5m55RqmVbZvKjnGEBN9Vj6iXQAhIKJfNsrYh77qAveZUqHwdQmsMMrv5h0x8rzgU9aW0KvlYIN/HN20gTkOZ7CbwJP3QpCw3hbxrTNNTnXOK6RlTSX/OTTUvhPYED3HdW0I261Qnej5w/nLC8lbI0mUkRDzr1vA59syPtDTFXijHF+SeAH6Twb+qSPMZA7OrkWAssHXl86g9GkalAJvY7Unj0yt7uwcYEk1MJWJSXSZGrYqDBQCspWIoWZ+tgYXU0g3Hf7q1lflsXiid5pHjkl862bZyaJVR7jrttl7rac5iRbct+HUU5FfakSTvtCZbezAcAb33AzP//0xyguTpPSYY08LSdRr6yFgaHVqsrz94WVCCcBIvIebuuCSug7d5rIz7lNvk1Fn3FVE0CDAQz6msBL+6B07Dzt0k+LbnobG+J/Tl8wiiqkifPptLTw6xTn4eZShuL7PLt87C1RYAGs3YJAu38SFAk9E+EnSeXflPzfzbGqjSoaWjh4UN6flfV1Qg0MnXQIWuyJqzBUWmFdi+lLG11ipU2FtNhUfbFaJeaTxyRh84oDe6jqGuJ7v1ukj3/gp36DU6dlQZlUaqQ9OffxxjTBsty/8YkJAA7vb3LiCy6hDesrMgfL85Db7n0FLzzxAa60RWHM5PQCk5OXWFkSavrExAQb2h2vXq9Q0W6TWx159mmJpySSCnLfxsfHyXS8cdIE58+f5/obRTN2fX2NuTmVG9jcJHHdzE1Bq3d+YsLQx0qDIdckvU1HPhmWa/Hu1ImjVHRtBpZQY8vEeJuuaiV/7CNSvD94/V2cPibzZ2NzX0yURIf8bntDxqvxqTkW9shceTTcpqJFo5X1FVJ9J667XmLT+ZVLvPKlXwnA4qWzPPW5BwEYmxpnVXW8GkrrbzbbbGncPXXiLNfukXngxeUTXNTiz527p32y6J79coxTdsiF0xJX0oU6Te2GutUZUWvL/DDStes9rxrjM+93NPwXJWmcjteVNmuw1pBkEa7VtiVlUruSnj75Aq2WPKeejvl5lnptwWTQg1De8zy3jI/LOjAIJwCYm50m0XnH0soqfaXEDoYbfsyzycinpuKadl+u173W89T0FM8+9YRukZcK1uWEjYsl5YRWUPr/v2jeWUrG+/25feUUgJ6sAE8Eoddavv4GWY9XmjGbKqNUj6qcWxLKa71e8dpvY0qdzaIBIy34bm2M6G+Lrxlj+PRxiUuv2reHSOdMr1Ia7XNnnuC2G+8HIIz6zGvuImxPe5kg1033tV92iA/+xjF/HZHvotpgdXX1L7gXhV21RJe19pv+F7Z9x9U6jx3bsR3bsR3bsR3bsR3bsR3bsR3bsR3bsR37/w8zfxXY1/8vWRhVbKO1QKc3gIqrABuPetq3by+pUq9qNfn3/OJ5xsYFmdUen+T8cUEc1Zpt6egB1BTO2miOkaZO+Pa0IhEAEl/ROXjdEd/lZG1J4J/1sWkq2vGms7XFUNEUQRD6KrQrHlVrjaLzQxQTazXr8LXXsKzUrK1tyYTHUciWdl00UXR5p6ovEvSzBNq1qtFsMhrIPkZ2yPScQGFvuVs79U126WpS3YYVvvGN3wPAUy88xpmTR+WKtaLeHQwZqwnaYnJ+jNNnJbP60V9+gq//R0LtePX9b+Kzn/mo3mNBSly6OOSFZ2XbW+64netvFpRPiuHMCUEPPamCo+2JKmsX5Xk9/+glsp7LwRoKCtbqo9bae7iCZoKapbaXyYkJD520eUExjKOQxGPa3b95qaFRUZEXVISjYThockBVKaZpMqKmf29vb5X2Z4uqaFBk7B1iJ89rBVQ+GxZUIA+VL6EusMzNSGb80tIagavYO5BHEPg8fxRW2LtfoKWLZ59nONCNHMLC5FSr8tn09DSTuwS9dercMYZaDXnbN70KgLd8zd2c2ZDs/fy+a3jFnW8C4Jd+8cd44TnptnhxVap1t950O0lXK0GjbY6e0m6ctsl1N4ufDgcDtte1I5JW1XtZyvSYVLe++Vu/kfd/QDon3nPPa3nmWYF8P/mkvNuVMODMSalk3HztS/mjDzyo+xLR5XxwCpsP/qKyyP+WmaBqTXUPNlmHQCtBUcXT+CpBSKaCzpnrjGjCAjUBns6Vp30vxuwEcRn1gbLiokNI1fy20/O7Wbm0qPsqQSTUZ2qtCVInkBmGjLTr0oQ24Ni1bz8njgsqam7XLqpVqZzs37uggqvw6U99XHafZeRaCRNETel2eqRsCT7tKt42xWZa6atFhFpZuv/VNwBww+FJTi4LtTSJAw5qB5t9+w/xoT/+PfmZVng31of0uipSmafUFMafbaQs7Nd7PcpoNQTxMauVvcXVJTbW5dqrY4ZuV0XuB9aLnN99lwjxHtp7gA/9oTQ5ePyz533nQKhJp0HADp+68rEprNqwvoDNu+SZQ5Pmnm5monGiQP7OrOu0ZYi06j8c4Zs7SIxxiBxF/2WJF1O1JvYxKDSJF1E1JvBdZSmJMftufCX0gwlSjHZ18nTGvEAKYfNiLAwiT8MtmiYUCCITVy6rdHqUokdxZRTvQoTRyqmJRx69t+96+c14tU84oxX4qqVmxBfIKJo7JC6W1njzm6VGV22G/OnHBMHwkd98lO/74W+UbUYBR48+KveyKvtd2+6ysi5IgrHxin+vbCDd6QBSnRPMjLd5SgXxl57PIRKfvPaGmzl58gTZ4Cg2613h2BRbE00hflCiwlCMIY666GKJIO0U0RDF/m+bFk0sHH0+z01Bcy6FM2vzAjGVZwKjB1yflSwr5p9hHPtjp8MhzYY8026naLThuv0WkhPI+5C4bbTbY6VSgGrSodAbATvq4+m+L6JQ6xnhEOSmWfWIjhuOiF/vngvp65g4sCmJUn7SJKfmkDuKnt3uJ3S2ZV/j7TZDFSIPexGTs476ZAk1now0Zt50y92sLIsvXVg5Q6hV/FtufykjlXqoKApsrB3z278r6NeLz0RgVWg/SCCTuSTp2lWYN1VtUNujIs7uYSYFSiDr4fwlrioaK09pafMO6aRbIDxc3HDvfBDWPMIzH61hVITf5l3/jMV33RzKTWbBQ3zJwbgYEYKiqb0/mtL4SEnEHlO4hqeBFw0xwuqknx8aY8h6L0LORTFkTojfECrNptKqUtc41Z6V5/uKe65hcyDbLvYuUFH4+/ZWn4rSxlraLXKjN6Sz5brABVS1IVDQgf0Lsk0cGsb1fs/sFamQ6WuuZ8v9Lsp5+vnPA3DHHS/nU58RNOC2dnMcbzU4dVaFuR82vuNpozXFK17xSh78xK+zuXHhisamMG7Y1tSNpMMNej2HlAu96He7FTE9I/PCxYsSN43NyHWunWaZp3xamxcMi+IIzM6I3zXHJj1NbWNzg25HqFrVWs3LN0QaY0bDpOguW4o34h5u7uXQr0OslwagcO10hA10bPI0WDxihXzInt2ytprfdUAkcIBt1/wm7TOmaLssy3zn2yzKPRJ+/wH5bO98yEBfg26aUFFk0uZWz8tDjClTZmMwpLOldO2ZcfojXY/2DLumikYjE4oOXFc64lqWsHJJ6XjzdU817fZy32nUUc537WvzzMNyf9cvjFF0jzSE6udZ/+krGpuCsGLj2oKwtvSZBWGF+V3SuKpeiTxN9+JFiY+VOPTdwQXlrA24FnYxPilItplp+TdJUs/A+Nwjj3gylc2SAiltgoIGq+NKozVJnstxe93tEvWw7CwllHd5fXkZa8Be/m+ZoQjFOpHy5yWEv/8oBJUBoRL7r/Ye1IYp4wEDZQCMKhnDbaUMDzJmZuTZTbUlJq91B2wrmjkIDFVF+Zmu5eCc+GA1hHHNTXTUZ5ZNys03y/qx2YqIlX207+CN/OGfiNxDpmvvw/sP8OE/FBTciadT7n3J/Xq9qe+I+vnPvusv9KXgz/twx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx3bsS83+T3Zd/N+yPMvpbG4BlkOHpNJ/8tQxJuZEhPrAgcNEWi58/AlBDSWZxWl0rS5fxChKYXP1vK8a7b5Fqvdzs5M8rO1nh70OGCeCaEC1i049/zCtiT0ATM4Kp/Xggb1sKyKoVquzvKzc9iyjXpes5tAL1Maglas0S0i6krU89kJKVVsu+8JYlvnKRpYMiyxtUCqblrK7VccJrlaIY8lCm7yLSo0RtbV97cUvsKXtn7O4x7s/+KtyPv0KzViEPTO9j+EoYXuwAcA7f/ZPee+Hf88f+cgRQXR989f/S0wiSK7ffd+vAzA2M07ckFzqNTddywUV8fv0Zz5Ca07ue6jfb6z0yPMJ+ayeSUFQ/g/QKiV/ORf3f90spJbN9S3GJ+W6tzeWvCaEkzkCQUCBoPAy1/I8T4tWuTbHVYa9Ro2JGKh4n8H6Nsdf1KZZq8xO8FJE8h0SMPToB8KoQD34x14SRLWZF2w3pixqWCA7nGD+vv0HOHVCkDNZUtIBUy2CsAa5CiVu9wdcevppOfNqzrXXit8vXRA//pVf/QNe/jppn9ttrvG5xz8JQLuxi+99x38E4J/9p28H4PiJp7jpmpsBeMUtb+czVakq9jvbnFsUXb29M7cRTQqC7BWv+DIAHn3sQT7/9CMA/MC//bdew2WjmxMpUmRpRVBjlbxKqDpgy2uXeP3XSKL/w+/9rN6LK6+tFMchs/NtLq1UyVIV4CX3SJrhoEtYLVAxIM+7KBYGirIAE1WLtuX+VS8LU9YKnYM8A40R292eahICkXDha2MzhJlU7HbtmpXmBsCFC+fIhnKeqz15t7a2t73Q9PhYi0hRs08/8wStlrwfLkZ1u12PlCDPSw0TjHfOQg/IlFzRQCD7smbAlIqbEksMP3viJEFdNs6GXZZiiRtry0O+65u+H4BffOcPyTm2KvQVjTXayIkdwirLSUZyrxZP9nnHt3+rHEO1uNYeeYBeIvz/9Y1Nr7UVxoaX3fdKuSdb4kvt1su59Yj87guf/gVqdanApjbzmjP/s9bG//tmwVryVNBS8lFIoDcyMClWnSPQqvFYq8XWhla9KRcOE1xdK3N6X9YWGAZT0hovvRsmqHpNI6dzJPFO9XUCsKmreqdej9Kdl02HBbovCEWHDtXdGjqRavWVuFm8CybEOtSYzbBW3oWgqg1dsqyQbgwD3EtigpjxKXnuSyKVRDoTsGtG71kOuVYq42ScX/xvvwbAd/zjtwDQqAx59LFPAfD+X/k4eV+e+5PHPs+jj4iI5NzEERbmRP9vsy8V62HvNFYFy4dJ4EX5641Cz8whBbbXU1Y3tJq+f5buqnx/6sRRqZDnLxobrpgJmsuPV5nB6BhvyT0auUAB5r7KbJOs0LTCUqnJ3yN9x8IA//5n1lCITupx3T8qrKzSL4TVikcdR1FMX5v4BEFIt6dC+F5XpEAu2zz1cc5UGliHJHTf26CkYVhCruk7pRdafOZjUwlhGxraU/LF8fMSY9q1NlWZ5hBZ6Ov1b6+M6OhF6bDFWCUmVc2l4WZKXycTC5PTbKsm4sbSiGZD5je5aj09/8wyC/sElT0xMeNRQCdPP0+vLxOjjRV5x1/98tfSSxTlVu3CoF3cd42x4BqCXEnLMXSJ40h0bUDuq8ZfSkjOpK9Ivxi2NspzOKeFFICVWFCty7UOB5uQt/X7EON0sIKmR5jm6aiILW5ctEXzl8uE4q3x43C5YROmpNHr0Du2pJvn59v432ejTUzskKtBCaiiv8mGhf8HoW/4U69XyYzEiwsXZNx84NHnmRyTa6tOhD6ebC0nvm+D0aYqY3FMWlWURSeiq42CmnEVW5H7tvvgfbzpK94IwHv/+P0AfPx9f8KuveIL3V6GW/Z9+sGPse60m9QHTVBl6dK63tGcdnu3/l3nIx/6AHm6wRU3a8mSAVkKjdYEAL2NCxCqvmc/p6Hatk1FGA1GlpFrfpGnXmswMIGfF3rNpDRhQ5t+ZDnEOqeZmJwiUf3U2Zkp+orM6/XcwBJjVfMuy4YeQYbN/SzMOH2tNPEC2YJidZvmRIoQdw06bG4xqrtngjpLqks2ObPLM4isrjWNgVD1J0fdbQY9RYWOBbQn5ToWV2T/s9NjZImLn4YNbfZQDyfobalObFWcqhmFDGP927Q9Cnw72aSnaOSLKyOGikhNPbK3EJ3vbqc+5tdaMYGD6WoMWFsasL6m1xkmBZDYBGROB/IKm7U6fAYh7iG0J6f9WLC8su3ZFBVFEAVBSSc3rHp9tetuuJEXXhAttVDjT6Neo6/IvzTLi4mfpWgCZC1Wtw8q8l5l2cCvUYASmrTEdLhMj8sW/5aRWC8WmC9vW9b4Kkt0mRdvh8Q9WzQyarYlxpw9rWPqfkO7Jf5VCQI6Q/GDwWbKhS3xwerNcj3tSkxSkWvYWhmRVeQ49ShiqO/Hc6c7ZJnEFdfsZ2ZujqeOCxMnzzIyvQ/1xx/iyA23APCCakEfO36Kc4sbAKRpwsMPPgCIXqh/L/8n9iWX6MJTxVJOHlOx+Shg45IMoM/zPNW6PIAk1e4aew8TqrNs5wO2uyWBbh28zpySpNjWZpuhTkIqUczIT9giDyF8yavezJYKJV5YFJHihx/4tPfHRrNNTZNbSZL4edNYXQL35sa6XwhgE2Zmp/22fe0IEVc0mGyueri/TDQLGl2gdKTcLTQCw7Avv6/VG0RKiQy2OwSxvMjHzwjlYrYdki25TkMVUIHPw3tv4eZrxck+8diHARhubFAJ5QX44J/9AU9/Qe7Vz57/WXZPvhSAn/6Z/8KNRyTRkVblWHl9k9tfKp2qHnv8sx6GCIbeqhNXln/qYxX2zkvHye1L2yxq18NqfYrZXYcAOHfiDFfTeh2FX8bjjI+7rnkha+v6gqoAqc0SqjpYDgblRUnoRd+NqevvR7iZkMUwGBSDqLMg6BRQeLcIMUVCKwitVzK2ecBlAQ1ZgNryYsIJUIdhIQqsznnw4F5i7X548sSzjOlEptsZUVP/3F7XbhuZ8Qm9JBn5hEswSBnm8o58/gkR1W1OwuSUBMCts5f4WO9PALh519188lMfAaCuHf6CYMQLJ4SuaEfT7J0R+uSRl13P72sSdc+e65jVTik//av/HYCMnl8DVpoBgcJ0T518ge/6rn8ox1CY/yOf/SxESv1kyMc+/IC/P7LQu/IDbTIacv70CYLaLAYH47aFoGlYI9OFUWNc7vVwOMJmAz21qBg4o5Cg4ib07lwT/EOoNIsmFKHxwt5pkoKnj4mvTUxO0d+W53j86FHfdSwbdCmyBSrKPRpgtJvKk0896cXD2+0GFy8u63k6s5cPon6BXiwmHc3WgIdzp8O0WGRmhqgq2z70hNADFxYqXOsaPyQJy12hh4e2z/s/IP7R68t5t8ZD9uySSfzxzhb9jsS/a/buZlHPN640eOY5oWNXppXuUFsn7ygEf7ZBruc+HCQsr8nvJiZkv+dXnmd8VhotzM4tsL7mRM6btMfEp89vH+OKm7XYbEQUheR+llihqpOnerNJpHSzleUNQKDyu/cJZWVtbZ1+v6D/FRMx+ccERXywpJI8AKwN/bho82GxLnTx21hf9LGZATfBz0JPkXXC90GjQaBJ/FGSEgQFbczT0NwZZiOcHwaVGKOTbztKCiV3lwjOsyL/EQZFziI1TEzKPVk8L+c4SEPGtSNevW64oAWp5ZUef/AH7wHw92z1zBkunRdf+YH/+M+ZnRLKw4UzF1k5J/cqTDb5R//4nwDwS7/1M3Jt4QZNFdI2aeCTN0kvpa50WtftMapAXUXM69U6SUfFqDtdTBB7SsoVNavPP0+LjpkYH6cwxlNrMkcltcV7auI6Fld46fmOZr6BQTk5F0bFF4GBxImVpxSDiItBAzI9blitUFe5iX6/SzE9dXGuWvhuGPvEmzGFZIO9bLJf0M4CHVeVgKHX58ZgQ0FntIX+/jCh5uqc41qQixJuqEhcSNOAgb4zxhpC/eFIu/uNN2JmxmQHp9e6fj0T55BkEv+bzRE33izFx/PLEud69hIbXdnv9NwsZ04KlbxSbbB/lxRY15dlfvTcC8/R727IjvPYLzyDYOQpzldnSRmQ2wZZkmJctxnb1/kOEGT+XQ2ccHc+Iq5MAJAMtvwzy/PUU7KGPVcgMqCdd20YF8/dVIi1q/pwlBXP0C0STVokr8qCzLbsk8U81AnFS+zRIBJFnnJ0ecx0NDWLVcFu6Yis8y0VSM7TolECQeDH4bWlNSbmZdtcz3cridivFMTRdoopNUwOtDPpUP2p3YyYH5djHFvZ8soltfGQa659BQBv+sq385r7Xw3AT/zGjwMwPhOwpKL942NNQn0v1jc6zEwLpW9tTZKh28NtOhuuyVUdN8DbrMvu/fu5dO4cV9ryPKff72NzaNa04FRpMq10Q2OMT07t3S9rgZMnTpDqvGg4THEU1aCU3HRzl5yUoSYQ0zxl2tHRdu9C2XacPXuKZlPG8gmVN0iSnL4Kyff7iS9CW4qO6Y6iH8TVooCQZ75qZKLINzwLtYlFlpfGV1vQuVeWLhBrsihX+nM1gg3XCM0GxArSmGyPU23puYXa6b23ya3zKhBuY1a0mdX6epdEEzmDREXyqzFz0zJPPH3yDLtVlmSiVef8kuw3Sw2RzqebYypi345INHFbq8UFfTTJSDTO+6ldlhPE6u/DQgg9t5Ri75U1AQgYStVhtja3aCp1cW7XJCsXTwJ+qkJuQ8icHEzoL2BycpyDBw7KPrZkTHz44YdoNiX+x3FMkrlsdAGmMWS0VL7HvaTbm+tFjToIirHpsrG+tIbzdMPy539OJL/soxfNG3zra5dreLHUkdpgRGVaT01jUQ/DdRO6hiVnqAnSgcl8kaunc8tqpcqsSp9sLo0Y9lR0f7LOiUUV/M9DKg3xt6CukiGtkZeOCkLIh/L55kbGaChzt6WlC3ruAbGbD1jj5+tBGHHLrdJo4vGHnv3zr48d6uKO7diO7diO7diO7diO7diO7diO7diO7diO/Q2xLzlEVxjGtCbm2OxsECpqKut3YSTZy+VL6z5bOjMniJD22CQu9ZmMhoy1pMIyjCcxmlkeKBJqY2UDR1ecmGyztCz0FkyNqCmZ/rNnz3L+5JN6RiVBcRXMTbMR+UhyiFNTE5w/r+2mm3IOU9Mz9LtSuZqdneaUwvME8STbjIaRu2AuE6nzlnsBxkjRX5VKrWCJBAGrPani2HDEeQUc3HSXIKymsy9gFqSCYaPco8OOLz/G48eFurlnRig6b37b3+fGa+4AYLw+ztd/v9A8njy7xO++65cAePzRh1jZkqrQl736rQB85vEPcGpDUHdZP2ewofBQC52NcgUGwiAk0meY9Ytsf5ZbmvWrUOF2Zi2kA/IMhkMVEA1jVkZlsWVt6aworaTfdZrh5FnuBXkxFuNhqEq7MAWs2trco3ukdKcVotwU1XJXSczyQnQ+zwsqkDX+nuWK/rGjblF5r1QwSje0JdirQ1KcP7/MKBHfu//+17K2Ied5aTFldUUqR4FCerPU+mokAaAQ7DAyrJ0T34vH5Vg37zcsLkmVc2vraaIx+fzB4w8QKgXzyCFBTczu3s8XnnoIgEY9YbMjWfuPP7LMwpzQka+59gbe+Z7/AcBQoeSVZuSrsQZLVaG1B/dcwytf9loAHvjknwFw7eEbOHZCzvGaQ9cRpEKDePCBJy5D9V5RMxEmnobA+AYTszOzLJ5Q5GlQVVFn6Cv8N6rVST0KMCBWCsFw0ME6tJWjqlZb2ETusbEZ1riqRgBKocuS7QLpoP9ePP1kQfOpjktrdwAsJtYY4IWkY8qVIQf53tzcwjouRRkpbYv4V9DgrG+qUOiQG9LUVc0qmDGHqg25eErOrT4lPnz33hk21Lcj22FsTH63eOkiw02pNkY6dC2vJ/SHsu10u8qh64USG+ZN6lPC1+52uoys+Hkjl2pcYKvMzAhVsrO1xVBRdWEYcOasVPzuf5mIkn/5a7+GH/rBnwVgu9slU2H4ZmOGgYsZV8FMEBLX2yTDlILHUmWksWk03CSuyLg1qa2Z5+cWGI4cnN4QaqU7yxPfxt6Jfg76/QKxgCF39GmbFoyf3BIqBTZLV/1+A6XKmCDytELilvcHTx8hIlHEcRBGFDu2BI726j6KYv/7bFjEtKDWFN6TnJD8M+pTjL0Gaop+tAnHnpPqa0UpQTfuzjh2Tu7ZtZUWFaUV5M0e7/rwr8oxtAHNS+6/n0c/J2LNn/jU73HNfqE8v+41r+dNb3orAIeuOcB73vsuACKF/9erbRKlq4/P1Nm85CqZlq1NeWcdALMWB1x/SBA9Tzy8TDp0yKTGn1+1vRJmjIxDQVQUiPOsaH5iKWjzofODED9GpSOPmjBhhPX0VyfEXeWyuqkbIE3E5dHW0SZL4u+KbhgMMorYk+CRV5HS8fKsOEcT+m2tzYvY5K/X+YicQ5aXmvj4Y7jfxB6hSJBj2vIu2azL0jn5XUNpQgcWAjo9lSdIM6rajCAcS4nVXys6lq90Bx6NMzddo9aUeDPZnmPtuLZrn2xRqSlCoCLz2SO33kCzJu/cnoV5tjcFvXXh0iVpBAB+7CPMmWzL/Vm6sA1W/M7mVU+7uhoWBFCrGrKsSjKSYxoTeSp7EOIbSAy3NwBoT83QU8bC+NQuMpXvyPLi2aWZQ7FHDLvy3kQmIHXzsTBkmJRFm93ff06TJmPxMApTjtOO8m98oxjKAvTZCOvou74RxxBc4wRr/HFNpeUlJvw4HUJQdRRSQx7qM7EjOuu6BtgriI9r5oZcWJV7MjseUtP5wSi2BHov4lzu6Wp3xEDRErsmG1xal/0O8wonjsuYdd9LX85v/MHvAPB1b3kHAO/5o5/jLa97GwCnTj3FoC/zv/5gyHAo96o3kPu7d343zyLrlcxAkggSqt+Duflpj8q+khYEhno9Jk9hpOc2NTNFksi5dTrbtMdkXtRsyH3dtbDAypLEaZsnxFVHc41IE32XNQbFUcULwmfpgBWl/SajIWNtnf8Q0O3Ieqmp6JR2e5yNVWnsY4KAPJVYZ6IWzllc06k8TwvKdxiXxkELygTJHF/b5Pilt4FEG/pcvLQkFHLw64RhYv161DAiV4TUkBETsTYIa8u+JqPTLK7Ic4zzDKuyMNRHVGs6lirLaS0dkeiANDdV5ZI2VasGTfJUpTb6CY1J2b6vCNOJ+RqhotjqzZDO2kgv2dDraAO2WI9lDHnfrXcKRL/NCkTblTaLJbcJEPv5RVytcdfddwJw9OhzLOwW5tD5c7LuiKoNrM6ZDh6+kXvvkqZIY2NN3vt7vy3Xp+jzvfsPsaU02GSwgh/PbNGUxxrDQGnF3hdNAKGLc5aS7kzp7xdzDflzEFsvmh+8WGDeJQBsXuznz6VGGr+eiypVtlbk3GrjEn9u2jXFpk4jpxpDpie1oVpsiHV+UNWmIJvpyI9zB+abXNC4tLzVK1D3UY5Rv4kVqTrWajO7IHP06YkpHv28yNIEoeGJZx4D8Ii524/cybGHRDqH3GIVtTu/sJ8DB6XJ3eMP8RfaDqJrx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx/5G2Jccoiuzls3hiOrYBMOtreIL1ZAiTxibkWpJom0nh6NtBiriuba+zMte/hoAVpYv8tQTTwGF/kil1aKmgoeC5ioypKlqVyxfKCkPR1KZNfmQ9oRUAjdXL4BRked86PWcGqo/gc2JlIN94dwZclfdLItglvVQlO8d12oko7JAq2yTauUjHSW0tRWttRZTVX61hX17JLvb3RD9kSOH66z35HdJHNDpamvdOGBa0TjVupzX2fPP8Kq7vhqAu6+5yV/6rfvmGP+73w3Ap6+/iT/4+G8AsLgivzv6yWXufMmtAOw7cpCHPyMC5WPNiLpWru66Q/TAdh3YTT24A4AP/eanCRUFlQ4v0evt56qZCQjihrTEde3s8xybuApi0XrVaQKEcYB1HHNbaq9tsyIpr88kzzMM+tyD6HJteFf1MQabO/6xa0udl1obh1itTpmwjvWiqm5fcXEKSYqphP53cUVb22sFfjgYkOt+H3zoT6nVpRK2tdIRZBAQ6b+t1iSb61L1sHboqzDJEKZ3O7FFedZjYxNMaiWnn1pWVSspjHpEqdyr53Vfx88f49W3fg0A//77f4zFTXkH3/R1b+bAbkHktOpjjBS91BqTive+Xft4/CnRmKvUI65VvYYbrjnCz/zifwXg6LOyr8wGWCvv5m/9yu+AViqqY+MkW1cpv28MJoox5CTaJntzYxNi11468ggp18LYhCEhripovY+ZsIrVyrWvotqRR/mJULfqH+SmJIgbghMPr2s1OoohVv0gE/jKTlBvFbrMDjE47PttscHlEgJe98A5ee5RN9ampWqvKaEKnS6K9ccwQYVcGyLQ6bFnl/x9+LqDepmrVLSC3zeQ6j1r1kPqNfm7PiE6G0mWUstEf+H8mRMsnhb03DXX3sHzj4qW4GiUcNvUHQBsb4tfTlX2cfr88/J9llKtaGXXdAhVTDNXREGM5Ru+WdBd73//x3HD5uryEnucHhZXwSzYTJoVuDbvZD2PnYui0GtkrK9JU4lhf5WexvUwbnpdRBPg26obW1T6vEaNzUpIPUOBlkrJEtUIcR3VwwqEToOwGINNEPlxVKreDhHo/MaUCpLG+4b3GhMUyEJjPLIoDAypax+v4sEEgRe+x1TExwEzTFjYI+c2sqohUa1z6/Wyr41hQl+PMT5RcSAljtxwFwDHjj/GnnFBlb71q97KJz8rWoM//4s/yURbqo/LS2s89pi0uq60tCqaNumroHanM6TS1Hd6MMCo/sdUW85xrDbHk0cFpZN2+2Cd7w1Ui+wqoLosIo5iiqqwCULKOlZf1I48L1DHmACjenB5lnoEKTidtUjExwBM7uceNs9KqM+yRoj7O6AIXhkFAqfpY4vX+wujyz9z/hiEOK2c8r4cOqLabGL0fAe9AVinW+dsID6k5+7mY8EoY9e8jvMaExq1qtekW05G9BURM96sOOAGcSy/r0Qx3WXVNqnA/v0TACxeXPQabusXl3lsW8b8RMfo2fYsUzeLr124eJG7bpXmGB9Z/RP6yLbT9Sm92pi45mJDVOoocTky90pbnkOvn8k76HWsBlTq4svjk5N0tjU2eE2ziGpNxuT5hf2cPaUV+sB4xLlrfJH0NwuGRJ4VDVaCqteYs1lZa7PsW25ZU3QSMkHox9w8LSEcyhKr7l2weeH2Ht2YQKT3tjTe2mzoUWGBjvMYQ+7mkibF6phdDXLaLUXDVLQZVZpwWJkVneGATFE2E+0K6FQ/ih3Lw7C1rvPKiZg7bpG50sX1SywvSYz+7f/xa7z69aLRtbwpCNwP/vxD/O5HZG6ejUacPSfor/7gJCNtCHLdHhnHKtU6d7xMzufhPzpFX9H0YVTn9KkT5MMr33Ulz3MG/T7VSkSuPru5seXfw6gaU6sJouTw4YMAPPPsU+zeK4im7e2B1zReX1v3c5ZMm3/ZICAoz3/U1leW6PQ2AKhXGrQnhAGUqn90ttZotScAWLm46H8XBmFJh8rNywv0u8S8sl8q28I1NrusIUZJJy4feq3VYuKV+9hmTAYag0e9AdVIEGipNu2ozGbM1RX9t5XRU/RfPQ6pODaGu/wwZvmMnG+XhDHVjOwPBl5HNgyMf7UjZa2cfWadhs6lB+0claUjG0Kkft7S9XOSp8wfknf/0onR5ffkMoTllTNjoBJF9EcDGk15nibvsXRJ3o/RoE9XNTp1Cc7mdtcjhc+cPs0N18h88vnnnvYovEQbQ62vLjOh6Pnls0kRb0NbxMHAkuu8yOZlVJVefwB+TmRKa34/z6e0rS3Qb2XtLso5Azdel5BiUKBR3Tlmg+I7cogFJZn2N1hwDaH0J3Fk/Xxldavntcqn2zUiPV7kGypUObcsz3M9HDJWV03SCHodHZcTW8hSu3vaqzNWEZTzhQuX2LsgzcOOnX6BRJFwb3iV5B2G/SHtXXK+nU7P36rFs2e55prr+MvsSy7RBRbynDRJaTZlkd7dXAc0iAQxXTfAuvH/wkn27ZObYbMRqXbruHhxmVAnZ5EKBfY6W16AWzxSHYDMT+7yvEJr6qBsr525rE3ZXJXFRnN8noq+Rbt2L3D82CkAhgrLxcL21qb+nVLM2AyBQiTjijyasXabKRWMvHTpIolOsnrbmwVM0UUvO/JdREYVODgvTtTrrnPNTRp8IhXRtA0SnZiP2ZCBTuRMLWLPjNAbmxVJGH79l3/PZQmuvlIKnrz4GL/54zKAxvWI3/2vvw/A9/7odwJw31fcxtZFSQ7u3bub7/41EZL+tu94M4ney+5IXvg3v+47+fQDnwVg/vB+zh+VexaYmK4XKL1KZgIq9YZvlJN2ViH64oGxmDdWqOjzSU3AzIxM3pZXFikmV0orjUNypU2RN0qBKFBqiARDL1juxZqLrkU2zwgCNxjiRaMLak9DOhD50yyCa64dRgINelmOnxOOtnNShayLcKdLnMj3ne1lYp1gJMZ6eG/cqHD7S2UQ2XVAvj93fJ1DM/I+7o4ithUKnRh4+1u/DYCf/ImfBuDQ7gOcPHXSn++5VUmAzRysclE5tsMnt9hSysPMwgQAG4MLRDqIhmHIxUvyu42tNVZXlaarQfSum49w7rz8fmWhyVpf7lmj0mY72iQfXa1FgCXPA98lqtPpeDqHISyE53OXnO5TqB8b313TYAqhcPdZGPhtg0rdP1sTRIXfBBEuFtqs6JaXOypRaErjahki7agYNfwGeVoIY5vSiqAMy1eTJJajUoIJXfc9dy6WINAmFa0QlCo+Nhax74AK6eenAWiPL9C5JImAhglYXNeCRZp5333pHa8DoFlv8PnPCWa51Z6GqsSble4xiGXjVrNGq6Gi0BdE2DmMYVu754QGhkOJx3E1oLclfr6sydpTJ0/xyY9Kkv6m6w/y3NNCZ2+02sW7dhXMAmlmCcKQQI+TZ9YnvdPEFOt+TYR1Oh2CULvmZiNM6GgPPUJtUpDlSukKKJ47pXkolvLk3C3k3ALThEVinaDuqdnSHtL9rTD+Et2sPN0wQfRFNJist45RgWoTxbR0fO91O0LPlhugWw8hlIlP0GqBJkbjWsDh6yVGTMzL+S5fTHHs9+laTF8XMqM8I+trZ6aqTG5fdtNuzpyR2PWxT/4ZF1aFYra6+Qi7JoTS0Bms092S41USuba4FUCi98waYl3UpFFKrmLc07MHAWhkOXML4kNL5yr0VYxeEk9XJc2l5igSpYYn5W6EjqboCm+mkE0IopqPaVleooRRShqlzq+aRdc5S9GtMagVlEWf/CqSaUa7RAPiMy/u8Ba0MaGLTZn3wb37DnPzjZKcfOQLjwOwtbpMomPmsLP+okTYiykiBRWNRg362lWqGXHosPhg3JRta/UW/US+n6vXGGgTn4SM/maqx9buUXFETenCe3Yf8nSLxkRCTzsxR4QcOiwT/MWLpwB4+oUvEI/LvR4fH8Nqt6qtrXUy9d3J/bLY6m+tsWdSVpuLZoviHTNUGpIIGG2e4oqbRTsr5iW6TMBI793ysOe7jKL3q5cmzCyImP7m1jrVpjzvIMj94tMl44O45ju0WpuDJjJMGInYu2xVepRuDp0XgcwWRR3IyB113rrYZjz9nzJ1MSy2cVIBQdwsiftbcPOtUoMEJyVhoorStCEPDfRlPRJPVLnhepkrVnWRncSTBCq6P9eo0R1o0pOcROlAA20aFWaGmq4rbrzpLj/WZdUmt9/05XLfNy7xP377FwB4+pgk449+9d/iiDaKeuH448zMSBJ1amqGs+ckgXP6osylZutN7EBj2uSIZFWOl+cQhTnWXI3oZLF5Qm+Q+cYFxqTUNGmTpSlbCmq4dEk6ilerDd8db25hL5cuSjwNAuPpr0abttg09eORCWKy7ooe15DoWrG9MM7SRZ2zZnIOjVpMT5tHhZUmufpEEGSMXEdsL+cQYIyb51WKz4PI+6PVTLghlsQIaFNu57spRTduHXPBJ+yzahW0+117OmB+ThvyTMj59joxkR7r+j2TPH1Jym+pyRnq77SHAvUgJNK5clCr0pqUc1gYizj6jPhVngfEGvPrKh/RaAQM9R1ttCt+fdTt930+ZmNb3s+pVoOpMTn3S3YINPU6S2LsV9hsDv2BJKq7W/KcW2NjXLgg/l2vVrzkz9qKJIKr9TojnafGkeVjH/+YnGba813JXTOc9dUl3+U7qFaKRnDlxhbGepkC45romKxYt5UBLeUEmJ9r21LREYqx1pQKPUXOwCU/SQalZFuI90HfFdsU+6o3QYFAUSXkwH55NuP6nDuZpaadTheaNc7oXLmfjHydyDW4qocRkSb0hpllalbmmXunKhw/1tHLtLQnJ/TcdP6abXDitMzHk1GHlor8Nxo1NjriqA89JjJKu1rjzE/J+SzmA39fq9WYU6dO8ZfZDnVxx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx3Zsx/5G2JcgostAWCHb3gRtA0sUaStcwFryVCpJrbZm2I3h/OIp+T6HM6cFTdJqVllflcyhE7uM4gpTU1JpypI+Wxsb8neWENcm5BBERTtzrUDYtIfLG7YaTW69WQTSZmZnOHVcspa+DbSJqdSUXjHoekDW1MwcG+tSvRtq1njYH7KimWepOElGdnp+D3EsWdSL5wUJMdYeZ6BZ2mS9x/Ft2dfe+YZUloAFpdFtVYdct1cqO6OsysqKCFDGOZw4LlXRe25+vRw2GPG+j74XgJOnjnP2hAjx/6N/+k/4iR/6SV5stx16KQD79xzgsccEpfU/fvyd/PD3/TcAxnc3uOVmQdiZULK77/qjn2X1ogp4zy1w6Yyg46q1aarVGlfLgiCk3hqju75Ma1IQcNXxA6wuyf2oBAFDrbKZqmS9BWqtcOFaxmioIrSVhheKdi2u8zz3KAdj8xK1wPqW2gQVjEOCeTpjWFA2ghQnxmzsqEBQaAUpSzKP3LB54tt6E1SoKl1WgVscOHSQRW0RbbOcWkOy6J1ej0Az7U4Df5TkJIp0sUEhXNyoW267TarQe6ry+2H/czSVrtnt9AgUMVXLDO96168BMKGU2Guu283qpQ0A3vG9X0ZnQ6pxe9p1ns7keGcXT1HJ9b6pEPB2Z5mGXvv2ck5dK7TnT53ntV9xv94rOcbB/QdYvCi+t93dgi3ZdjNeBxteHdhEnpL31oAAW0ILBE2p4logqDqEqKsq2wIZZa2PJ4aY0AlsK2qgHGOMqXlIs02GWKsi9bUJTwNxfmAtBJFrMUwhFG4KamJxCqUKE5lHZgjl0W3sfDgvkDsmL8RGCQmMQ3oofcA0IND3aBAQBopoyBPfdntS/fnC1jITWsHvjnIPGqnagEiv/4HPvA+A647cxIGDghLo9VZp1ZUmYwfMz8n40B+lnHlWYvDe68Vv1zuLJLlUWLvrQm8AWO9vMTYj53H+gsSg93/43VSrgmg9cvNdPPX4ewCoxDM09P25WmZMQDYaYZ1Yts0IY6UFEvlnYox85p4ACOrRCUVHYUCm+yg8M1bhVgjCOtYhJUxYxCGyooro6UFxgWMLq76KaG1eQmmVKLqeehGUfD0vqtb6ToeNCe9ikxNN3yAm7a0XVUuHGMtyL4hPMsBVLxtxxNS0HHs6U7T2bsvYQN//7VRbnUO9FmAUZv/AZz8kv681GLlgGVgma4LoCcaaBLGc79bKJqEK9n7n3/4BAH79t36CWIV+X//Sr2VuXtq1/8kn38/5FfG9C0p/SYc9VlflXkdxFVTE3gZjZVjdlTUDmABjAkyk41g6xD9TExA4kX6P2MwKVLEx5JmjpVawueOsFFQKExTUHOufUxeP9IwmPWMjV2iBiVu+0m3TfokSWRLT9c++hJoxEXWdFwz7HR7WBgJVFXHPcggVHZgOtihiWkyBui75tau2J/hxLib1aJv2UClBrDOlcao7zIk0Bqc9GKsral5RL1OzTY/yq9QGDNdlbKtVDI2GIsKzEdtLilJRBNTYnpDTx4WC/+AHjvHHnxLfvPfm1/H7H/otAFYUBZ3akAsXNvSWWTA6XufjpMFVnN4bg4kibNYrKDK2Aii1zVjSkVTzqyrCnySGzU1X4R+SpY6OGCkNEdyzyW0JvUAxF8qztIRqoEAwlJpcFCguW5KKKATCfZS0JQoZuRfPt/mAIJb3Pk8U3ZL1wMlVmBDCQo7CjcMO8WiCgpZNOsSodEklNLQrijJ2NMr6kEm9f70kBxXvbtqQTN+hMBbf/Ma//bc4+vyzAERRRk9ZIZO1Onff+zI5tgn42te8hbIt23V+550/D8D//T0/5j9/2dfeQ6A3qFGXd2UrGTAzL4yOvPc5/HsTxMSViGx4NbARAYQ1Amv9Y8xNSLejIv5ZyHRT3uvPPSrSFSYMPQtidrbP0rIwa/LRiDByqBaJUXkU+2dL3ifQBhJ5Zv38pTXW9ijLqko+dLa3fPzLS7SwJMlLiBrni8Z/b0xO7uJYXopj3u+GGKtoM1sg4wURVG6aAdaU5E7yAVbnLNmoQiWTY0+n8uxqbUgUVRpQoab+s7WRUNfY5Ni3NjcEgd6nbEg0lHvVnq7RaCh6Z5Ay2pJxSpeVTM7UmWzKtpdObnsmQVi3fh0b6EG2h0NW19z1hL6RFFmIa/B1pS0IA+rNGt3NAUbTG9vrmzRbyv7qWZpjEo+CNUF8DQddaircv2thglMnhOaYD3vgqKTu2eU5fc8wMqU5cY4NilgUaGMfN+1ObEBBQSwhui5biDhEV8RldP8yqyJ/0fzA5hTjWA4VWWuQbhaxsTzJd0i6bISJZF/tVoM5RSxP1+WEe6GlrfIjKYaqSrHEWUykEjUjXc+FcViQyyJo6RqmbWo0a/K77cGI7orEq1Sp2LNTe8n78v2hXTfTVSeLx2bZ7EsOoqHNJ86tL7Ph+t5Yg3tPRqOYc2de4C+zL71EV55DpwM258brhKP+6Ocfp9A2KpIifdWdykmwaTFoNtvysG+55RYWz8gktKLUlmQ4Ys0FzSzxCQaISAZyp6tjU5hMF20KR63Ux5hSaN6RGw9y5qwkEz7ykY8pRQDfOWRra4PAQRrtkMxW/Oettmyzvur0oko6GWHxuCQR4wK6QvTTIVWldlUrNRb2yeKnv92jqc7eVjhwo2JoN8SpH3tmkdTogrQP188LzLnSlet95rmnePJxSRr0Nvp8z/f+GwCWV7Y4OMUX2fy00Ahedv1rueGQaJ/ce8tx/st/+rcANGuWG28Wba5L66cA2NjaoKmLiqoxHFLe7eL5S7TG6l98kCtkeZbS3ViBKKanycXO1obA8hF9H5dECvU5pHlGRTWGsqTHQCHmtVrNx5Sh+gomLSZTQQzapSvPw1LOK5FFK2BwFMUc18QFG/lFRJb2MYHTApCAG1aahc4beUEVsgN6PdlJa0Ie1DCJ/bb33vcS1lYF3nzsxEmfnFOUM1nSKQJuYGlNiT+NkoT6SJ7J5ra8K+00pNWS426MLPVaqPchp6muPFOVycqFxefZ2lTYdRyR6LXXRyG7FsQHXnh+lVSpd+dPSyJ31/6DrA5lcJrdVWO9d0aOPR/wwKeEWnbkNpmktSdjwlifQVRj4YDQOJYvbFy1taQMVKFqcslzrNcr/n4ak3v6QzHpKXSuoFIgmsmkeyECtwcgrPhOYrlNSxpugUKVgbSLjRxE3CVBCu0jsIU2Um5KsPkXZbzc7/R4No6LJIPXB8i9hgmm0K2wufg3QKCdZoJKt/h9FDHeUjj+qEpVdcnqTfUDEzA1Kdc83BrRUCpCpzvCdpz+jXy2dP4syaTE4N1z45xe1O5BcUiuMW3UMVx3k9DOjlwjse3hJ3sESvnZv3eKU+cleW/qhlCv7/rD8ptbb72X5XOS+P6Bn/oNnxCan59jzx5JaDzzBa68WatjUAHzN1HT67gInfnF1MkAl/TJ8oxQRTSsTQqNNN1fs9lgS+H9QWC8D+VZinHU7aBSTJhcwioI+PM0IowpT15LlDh3/iYrqJ4lDa7iejM/j1tZXsYO3ftbKXVodAuPHALn/zA5pd3Khil5T44dt3TczQwT6k/9zDLRkH11ukNqulho6L2p1qtsqbZLs1JlQmnTraTCpYEk5Cca03QyObef+5kfBeAb/9Z38JmHPwrAhz72h+xW2YCLqyc4clh0Kk+pJhxhzsJeiXMnnlgGM66XJvfSftEzvVJmVUvPUVBLXTCLfsDFe5pbnyw3xmC1O5hlqAksKGgVtkRRDQv+eylhlaejogjjKDppHy/eEUSEdbkXWXfDawU62n6eDzw9JK5U6A96uqecyeldANxyy20ArF08zWDgFlkRRZK20DYsFvH4FaCJDbP7ZKztb46o6blXNYlRMYGnd3TznJZqw9k8o66Up1j1cOrViKH6aJxt09F43cyrxJHEkEEn4eyGJK3mF8RnKuk8198mhdL3fvQ9/Pyv/DgAq2vn2dyUxcL4lIylJsw5cFD+Pvu0xYmsmKh6VTrkebMZNt0AcoxPalcxrrtdVhTcRprUDOMaqaPQQzH2YIoEpxvHyovBsnxEWd8IWwp/7rPgssT85Ro5l/seNi9+b01RZDJRUUx0llqM03kKQr+otWniz93qnNGELQrqmmF6ShOj213qGo/bOk9PMUxoB+KtjQFNTYB2uyNmauKHzvduuPYGVlakSL9x/iKvfcPbAAhNwkMP/iEAP/wvf4kX2+Lpc/zDb/4B/////bf+bwDuuO0AR0/KHGtjW+KZtSmDgXZdTALfJTowI3rdQem9voJmjKyHTECqMT+MG8RVeTijoaWnXexCPZ88T6loojtNEy8JEdfqGF1vOZ0fm9tSk78Qq93TyTdBaf7nz56hrsmQfn9DTiswXksvS3M/H8vzIcY9/8sKNz7TQyHiVvhu4e55oedVSpBR0q10mQMTFZIQhCFTM3K+3e0OmVJML+ocbXKmydyMXNvp1Q6haig1WzHhQP6u65gbT0VUtcjT2xqx2Vc/WOszOS3+uvJ0z78esSam1paGtKd1X826l0GIKoHXinayPZacmRnVMzyTiradXufVGuLyPJfOrlHFd7APopBeT/0qavkC2559EmPPnn6O4VCuf+niWU9t5M+bXllbSm7aUhKqtLGF2OlX6bMNrSUNS+Oq9xuKd8prL2fFnCuKSvMvU8pplWiOXr+wRFfMS+dZzhP4wsCI8fG2nkLAmEoihW63o6Jr9aX1ojt3mmbU9f2q68lMTDdojzmaes6KFgpn23XCa2SHn3r4PInT9tK1QZrWWdmQ+fqdd87y4U9+QM42Tgl121THjtym7NkjIIHTzyRkqZPcqVDRcy+rNL7YdqiLO7ZjO7ZjO7ZjO7ZjO7ZjO7ZjO7ZjO7ZjO/Y3wr7kEF1RHDM1t5vli+f4/GMPyodZHQ9/MQmhpiVdtzvbL6gNkPvK84UL59m9/3oAli5JtTZJl7GaIQ2r4xitYgc2p1pTWgwBfa0WZprFNmGToVIXPvPgUzQVKtpojZNpZcGhrWaqsz5RfM111/HgA4/IsUcJu66Rqt76igomlqtZWd9Xwed2LXi6octujkaGkWaYa0HM4jnJhr7mvnH2KaT/4AGpeFZNh6fPCyJmrl2j2ykqUFWtbs7tE7TC4QMH+I63/l0A/sN//xe8650idvmf/82P8xO/IdXGre0Or3vV3wLgiS9It7PT504wf1hh2YNt3vRVXwXAqXNnqFeFHtrriWDmQvsgzz5yTJ/QNNddJ2iK84uLxNHVdNMcsgFR1CBNnOCx9R108tHIJ+pThdoHtbogaoAsheFAfCDLEi8ganynsaIiY23ofS8IgFAy6ibPSkgf8ZXA2BJ9qFJUeEqwVquZ8WyU+UKoNDTQc2dErn6/tS3+vd1bJ9ZOidddfyPvfpc0CKjWI4YqAOgrTNZiFOZtgyE9hZkevqbNxjmBiz6rlZL79k7QVbH6SmIdOIwkS1kYm5A7oZDXLUZMjcm7ubbUZyuV+57aBj2ttlTb0NuS8xhqxWNyYpLcyDlGjPHS+78GgKeffZTmAfGnZx6XTk533/Uy5qecOPIiK4rSbE2MsXf+Oo4/d4ErbsZAXGVuYZ4thXyPRttFJx1MCTjlKisxZeixQwqOkt4XQY8r9TFypT6mw75HdEnx22GH60Vnx8ihRvHV/TwbefizzUdFp7SitO27j9oSlYBk5GORcRW7EpW6LJ6PiRT1Ayj1x2Cxda1uRTHbibzTL71nH/si8ZuJSbm2cDRkVWl2YyZg1XUDjQPGQidcL9cYVTPq+n290aayLv7Y6ax7If2R6bOxJejHRkuQjZk1dPqCZpybnWN2ShF/q4t0tsQf19YFwv5nH/sgu8ZlnOgPRv79eP65R7nh+hu5umaF2uXQfYyInQ+k8gng44cJgqJ5gQlxSIc8tx7JZTU2dXtDjzDNkkHx/IIC0WAMJZSF/pOnRZMOU6YBpwVi5zK6YglBUSqR+pjn/g2K87VZ3zeeyPPMi/e6SnpARBA6FEhCZyjHnd/VYk9V4t+xbfGRmxdaOD9sBQZldxBXQuraETFWNGF1vE6kTRPCwNAdCIJmbm4fF0+Kb5lGQjBQP1SEysrqCv2e+NPC7nnuveNeOYczTc6ePSX3e6C0LQKGWyVxdCdim6WFeO0VN4MJKtJQwCE6g9hXkW2e+rjhKsxBVPNi3cYEJRRXybQhgFS3HV2xg0f5Vaawo/Xi88yhHpTCnffwczNTEyQXSLdjjS2+g102Ykyr0MPRgIOHDgGwZ+9h+l0RlT53Sih/g15xDvKvi0dJ8bl2EiOGsOV8dMSmNii46cgce8bkPGdVBiPJUjaUNtEKAnoag4MwYMwJpuuhBumQcdd9Msk9bXNUSRjofKvWMnTW5Hhrm3rtlRqLS4Lcqdar/Nh/+0UAfupnfpTOlvjY8VPSPbuXbpObMb3MbT8Ptnm/0CC4GhYYwkqFbLjtu0BHtSZ5rkLNYYXIUYv1HuUYX30f9rtFXEkGJUBW6PdvvIh3KW4U0BzdTv/1MSjHt7+0wWWIDDcOe+RhqdkCWP+9AY8EM9Gk/jYsjd22oBCZEFzn2aoiM8OUoKZjc56y3hF/2bu7xrzKGDyr64fD0zV6ihCeqlS4qBIEcRRQU9Ty3EFpPPD8sSd4xUtFTqRVG+Omu4SumAfw3C/8DAC/8Pu/zne/7dsvu0WDNOCXP/BTAMxOXcuevdf67974ZV8HwA/+6L+Q2xlFePUNG1FriP/3e0MqtRZJ92pgIyzWJgQm8vRpExgy14E6iGSuggiky4eGVNdVoyRiekru0cLeQzz7jKCzm8peGY5SRkPxy8npGZya9tZWg1w7nWY2oNkQfz1wUNgkzx894dF6tUZEX7tghyYkz3uXX4KJPPLeMMIGDrloPKrLI/5M6MfzOIZMGRZ5jkejFTzAkLClMiiDEZtduT833TzFrnF57wOlw0ZJzrrOmaPEMuq5hljGM3kcyisPrWeoyIHlz0GS+pXy3uvanDsu4597S9qTLaanldo5zKhqR9XucIXBtuvqrJdQCRn6Rn8F68DkkW9wc8XN5tikDxgyT323tJoyTi0trxNF8g7m+o5HYSxNoYDO5giPMM7B62Y4ZpeBAmlqKAWeElA4Y6gXHrpOrBaMjqtxreVRrtiEy7pSg4LyHfXVlpBeFA+ioH4U6DBTSIlApeBN2hKauVJIpmxpA5Bd81WaFZkXP3pBZJL2TzZ9nBwPI4ZVRZpmlnEd59xpdXoD9mnXxvXVER2lOa7FIav696FD02xtyw9e9+ovA+CTj3yCvQvyLJY3LvEP/t73A/Djv/CD1FR2oNMT/xulKcOOnE+WDH2DryC0fOWbvhKA9/3uc/xFtoPo2rEd27Ed27Ed27Ed27Ed27Ed27Ed27Ed27G/EfYlh+hqNFvcc9/9jEZ9PvJnfyQfpiNQ8UiyTZ8hJ3fqZQlRXb5Pkz5bG4KWyvOURMsX9bpkXrvr27hsaTZcpVp1FcQho0TbaU7s8dUm3w6dAQ3VmJqf3cviWdEV6nX6fn+NhlY/gwpz05LJnJubY2JqAoCNzS0unBfkzQ03i9bQ8WNHRY8EyLMCNbG8fMlrLbXmRFS+u7HOpFYeN0c9Qs3CPrM54uXXyvU9uyjVjthk5DXJsA5aOZOaxd7eznnyKUFkpQP5zermh/mjP3ACzFO88pVSVfrEEx/n7V//bQCcPfsCd14n2lwL898MwOHZQsBr9WXnmA72+v//2n8uWd2lDcnYVqJVmqphNurGnL8g3N00y8ivmmYJUn6NmuQm4r6XiZ7Yww9+waMQmhMzdDtSsSvESjOsVieCqOoz32nSL7pce62toedpC4KhaP/t/NPmlQLd4CoHeYbTdjNQ4oJXcYKvQVAItOa5ainETXIVrDRB0T672Z4AYNDtcP21twPwnvf8IdddL9WrZ575nBdezJz2TZ4xrxn31c66rxCv9wccWJiR/a1r5YKEgZ5Pv2mJz8vfwZZlMCnVknou+6/GlkArVsvrQ1qK5Ol1hjTHZb/B+AZjbdlm9YL8/vTpM6QVuWdv/vJ7qFXlmt73niXGZjcA6PakEnLqueM8f1z8uFoNmVgQ3wuGFUWFXA2hLoMJQ5YunSVUfagsbxe9AYKQLOv5bUE5/KaMqnJ6Hwm5VsJDh2JKM/+7sNL0WgM2S7CuZXqguiGUqtIl7SSpOhbi4V5F0mvn2OIzW2K9R0UbdeuERE2Gr5WYGBM61CG+HbOtS9XR9jpM6DMf1BrUW3JN61mPulaZVrSFeAyMNFRm4zn1rtNlChnpPWlpVSkYRFzakph58+2v5f6XSgx64YVHmV8Q4fnFSydotQUp+/iTIqb1Q//2h/iN9/66nK/tsHu3CNo//vmQ7a6gFd/3+zK+vPp1L6OOCpSalKAyIecwVuXSpXNcbRPkjdxzS8xIq4XGRASxvDtGq8W5NYSuEYY1Xlg8jGI/jjg1gyzNcNBLY8KSKK4toawCigqmfh8GFBokheYbJsAqutjJUUhjBI2bNi/04bAlHRwnDtz34rYmMFhFpwRxq5CpCN3YbpiY0LhBD6sCpz1jmWrL59eqD0U2IVEk9KCWMqaohIqJMIoUizSGj3qbPnYvr46I6iqOPTrJS255DQBfeOohrr9XmhM4ZOjpUydJNNauXHqG1Y/K+H/nza9isy8o0zRRbZNaTO6QC40U23UaLJFq6V0lEUFrsFnuq6HGQFkI2WM6HWI4S/24kw23IHLV6dyjOgO9r1l/mwI+E5ZQgBlG3xc7WsOjt5ymKiX/yhOMCs/bdFjSV3KNLWBrQ9Bh+w8cYqItsaW3vcYzz0qsH/R1v0FMoXyfUZTCwwItobIiY60aUUWO1bND9JViO0toqF9d0uYzNoOhIiiGFcuUjrv1LPAon7pvAmII9V6vdUfEimaySUqg7/ONRxZYVbRpZ0XO6+47X8qNtwhSdHp2hgsqVj/Z2lcgufrilxOzk7Qqs3o9ZwuBzSD2TIKrYlbQ7FDDafAlybBAOoWQunm4LX6UueYmrsEAQCUq4oJrfnCZyHLJDAWCgYzLRJtB41kRrzxCxhp4sQ6l8f8BY8gT8bMgrPix1ce8oO6RsjbLCvQrSSFu3nQI6oRx1draGqVec28bmFKmx201FcpOEnJFum9kQw5pTOsnGf2+vCuH9skc7a1v+nq2dYx8yd1vvey2/PC/+An/9588+qcAvOHuLwfgpdfezMrqcQAmx9vcf6MgID5/9HH+808LkmtbEab7989gh9rQ58Y9LJ1z+J6YJI08eu/KmsEEsTTriVxjg0JjaPeeGS5dEkS+dc82S1AwLp3tdYlVgIljjybXV4QoMMVn3a4fm/IsKXwhyNnaEjTL9tYGABPtCdY3ZO7Z7XUJXGyyJS08jWe29F+IIa+Wrq/sb4CpeH9PksTH0LKknh1TJOGow4QizTbNCFNVVkQAE6oF6Ma27WGPWP1re7PPTbMyd9/ojRgN5f1oamOENICeIr7Wu4lHggbGsL4kc9S5XU1mdgliqxYJYu7uu+/miaOi13zw4BzVWI7x2ONbhFWd/+scfLJZI1Z95SBaxZZ0hK9u6iEgiAKquv7NbEWQ+EBgR6ytiC/NzYuu4/TsPi6dF63uar1FqL7S62YFbMmxI7JRgZoyJT1A6/8jPmUdg8I13IkZa8u9SoaDMn+iYKOlbg0Y4ZsSZKU4GFaKeOdYIkFprpDmxb4Yieg/gPoSw00mpzQu9VNQ/dwOAXOqW/qK/ZJLON0dMFJEZRblzGqDv/FKRKiO6hocBI2Qi6vynhw/s0lcleP26wk2EP/Zu6fGMJf358xZma+/9mVfzoFr5uWSyXlKkZj99YB0TJ7XoCtr2emZNnFN57pxXmIXZDz+xDH+MvuSS3QlScLi+UVOHX8eVKCQOPQdNghaBezPy5OFpH036Odsrwrlr9fbwGtjOkE3aqXfWdLETbICwriphws9DNXq90nSZ/GMgzkarrtRBqfMrPjOJtdccwCA6647yOI5mSB/6EN/Sl07nszMTNLdFofZWNsAYN/+gyxqx8hRnvtzyzM87LqzJnD2Izfv53X3iDMsb2f84aMyKTrYNmzoBGgUyTlWiKlpoJyo5HT05R01cwIVVV09KTSAs2dOc+Re6aS4sn2cX/u1BwC48577uPO2VwHwkutegrNygstZOcn1+NJztDSptdFRGun2KW4+LANzZ2OVqnZzetvb/zbzc/Lb5x7/wBft969rQRDQbFQIq3Wef0EWJ1GlgovJvW4H5ySBUmJrrTG6HXlOYWxLDLN60W3F0/+MXziYwFw2sPrOZGGIO6Bx3eoiCoqJCUtd8RJc4HMLMmMuF7H0i0WTUtEuGvfcIUm8NM04e1omzrfdfivtCUnOPvvsg37CGuh+9x+e5+1vkmTBc6dP8Ymn5XdveOUtLMxL8FxTiP7G0kUOHdwPwMqFNcYlprO8MSjuT88Jk8esazLlxtv2cOq0BD4TG06cPQvAwT3z5Hp/Dh6W5Nfi2WWqsXz2wAOfZ+WSJEl3Xz/JUN/vPRqoH3nsM148dnws4tKiTPT+9b/5D/z2r/5eaaJ6Jc1i84QgbPtkI6ZIWGZZ4gdAT+0zAShNLwgrjIYuDuUl+p9LlBaTP1umCkVBoWcKWF0Ymssg0c6XLNZtHATFQG5LkxBHZ8wT/zuyhECbCRSDd63oHGoKfyTItUMkjjHG7rmQ19wuE4vVXsITCkOeGPZhTJtmqAh4pVJnYcYJpSZUx2S/Lwy3/ThvtXNeOIrY6Mux1tdPsrstcbc2Nsbx4+f0Mg2L2xJvLy2KD9fqLSYnxUnTwRh33SlUs8eefYSp6UndRpKqJ04cI90j51it1xluyedpNsWZc2tcNTNGk1wpFkcFHBHWXNe8UpLJJ5BScpwAfdEIo0z/8cmNAN90o7yAsdYUc/Y8LZL2nvIW+n3JBwW9zfls7ra1abFALC1Mc5t6SoejQZogJh9s+etx1Ke03HlIL3f/3jFee5eMdUfPBTy1Ie/NTbP4WU1m5b3qjyxtTX5NDnIGSt9YYujnk8HQLWJjzm+LP1XrhpouXnvJgM889BAAd952OysdKZaNT8s5fu4Ln2V8Qba97/bXsXhefO/86imuOaTJ1xOSjCHM2BrJ8aZ3zbJ6Sq7Zpql0sbwaiS4rlC0TRSWfsP6+GhP47oduIm8wRVhwAr2AqdSLpgJqQb1Brl0ywVCpy/3OiIuFQX2KTIWeAyfsbS1Z4qhmpbgBfBFNjdxP8M+cOcfZi7IwtVni42JBTxtCPir9tmiEYSJXhJJrmmg3eP1dspBb2R7wgMaIA1FAvSn7W1Kx7thETCrt3iQ5iS4gO8OEQBNzNXerahWW1ZemZ8fpDuU5b25mLF2S5Nb01CwH90pS6/ltaVaQjEY894LMvabaCyQjcdInT3+W9rjMrU4ty7b5cJv2lFA4o1ZI6ruzNov3litvxgRElSZpmhZJcWMwFUdlLbb1lFhDabFPKWFViia28D23k7IwvM1LdHoy8HFRv39RR7OCHh2XBO8LCpmbK0k3z1JBsiyUjyS3fAfSPIFEfb0SeVH9QLun7pmv87ZX7APg7HqPT5yRMeI1e5s0tEnPpuvajWGmpcXykWVrQz5fz0Y0tQnS2ael0+CR636Lv4q1WiI54mYSVeCWIy8HYPnCRb9dPB6zvCaJ48kpmQd2uttYpX6eX9lguO2S221sOYl4Vay0b4On2He21okjeY6jVOcmYUAcOfq4JVDAwfrGOhWNLYOhk5cZ+HGnPT7JyvIGICLlrourNYaWJgQ2lR68uX6BNHFjXyAUemSe4xs9uI7q2KJAYIJSMrVUDHQURkxB/beBT+jbLMVoMjzQbp97d0d85W3yzi9tN/jEeTn3O+sVZrWZzpLzpWqVhQkdM3sJbaWubRqoaHYv0yRU3wSs63xrfLJGV8XYu8MRXRWm31yPfdhcWZM181NPRjSm5R2fGjtMsyFzwkM3bHLy+Cm9F3pvKhn9vrsnBqvSMCYOfUfEK+9NAYQ1CAJSBaaY0EoSHshy6+mxk7r2OfbCUS/3grX0ejoGZSmm4rrZF92JL/fTgvp8GYXQjbGl4s/WpgImTIDPMeSWonGFo3Kn4DoY52mxbTaiSP67uGb92hHyIsaFIZ7CPZC5yv7903z1S7RJTiflQ0/IHOUNN8z7Bj0jlaeZrlW5XumIS+s9+rqmWOql/nCJZpJ7/ZRFvWeVSkhTi9hZGLB0Sd6l8fZ+RjoeD3oSgzY3xnj+qKzhXn3/63ngIYlzC4dm6Oj+Mn2nRumI+V2yfpic77N5SeUQQsuZs9rk539iO9TFHduxHduxHduxHduxHduxHduxHduxHduxHfsbYV9yiK40SVi6cIFBf4gv7eQRpFoJDuqlSpFWbqIaNlUaoylaamf9Lr5E7Cs4JbFSKmSlNtlRVSoFw1HfH6OqUNJh0oJYtm3XGxx99jF/zguzkon8xCclY7m6sslzRwW5Uq/V2epKprNpY+otQQ6MTU7IaRnD3gMiHnnp4kl6fakEEgZMjgnSpaeZ+Vtfeg+1A3LuT//J07zpfvl+2tR82+LhSKrOY+06g55UoAbZiKVQqwLdgIlxycj2lFLSNhU+95AI/0dskWoldPHcPL+sra//yXf8E/6qdsvcjfzoD/48AP/yB/8BAI1ajbvulOs8f3LI6eOCrlpd3uTdv/t+AH78R/7BX/kYf2WzlszmVIxhemYCgDODIUdukHN58omnMSoomGkVb9DbKtG7Gl7g0dq0EIX3Lbchz1z1QkQSAUxuCtQXXY+EsA5uaorKiC2147UjV/XH02YxGWQO6ZcQKoJoYX6crY5k6A9qY4HXveb1HD8mon1/8pFP8rGPfUL2G+QEis6JtFLW2r3ApUA++9TTHd71cz8KBaWJ0wABAABJREFUwKtuvYU/++NfBWBsIMe682V3kg3l/hx9bonnlyVTH2eGZCjXudKSi2glGbNT4psM15hSocztJKWq4r0VYz3lLtV3O0l7oMc7uXqGuUmBvea2y223SpOFk6eEdlaPGr5q9F9+6t/xxq/9hwD8yi/+GtVojKthURQyMTVJt7vFMNUqrc0KWL2xHnrvBeODAmFDnhbQfAIMl8exwJSqhhRVbvmggMcH1ebln2Ept7ku0A9/Tp3DKvIGBMnoQmEQkav/h4oEtaZADBFabOCobZArDDtUqkplapJn1jcAOLFkeMlu2fGeVp1aTSmN27Jtu5qTbUgs7Q5HLIXiw1P1Cg7wtqFxOd3e5tWvFSr1a19zP08+/TgAFyIYqWDs61/+ev7ww4IG3bNX3oOnn3uWExpjpibmePd73in77axy03W3AvDMM4/pLU2pN1RUPyzGnV73HJ3O1a0VGSOoLYc8wITk6cj/XTxjRUsGhlAppMN+r/SM44JCnZfrqI4SWULFmIwgrBTfX4bkwm/zYrN55tESVuNRmieFsH1JeN0Q+WYBHrlhAgIV2s/76wwV9RTW216M2InnJ3XLI6cEpXf0+QH3HJEYfU275pupdDfl97vHmyQd+f3ydo91RcjUk5DY0T5a8ptWZqiqf8+N1ajV5fOLgwLllo+2sCMZL69Xuv4zzzzNuCIpvuEt38H3/evvAaAyl3Nor8gQuHbuzbgOM1Ld3jV1Ew+fl3nBMENpD190a6+Q5dhsgHFC8ASlMSbzFeXA0Y6zoumANSF5qiiWPC1o7ioCL6aU2kqbzKP1DDfdKOiW/jBlOBR09qVloQIba8hS+Rsb+P2aKAIn6OxpCrY4H5thR1+M/rJOPJgIXwkPKhAVlDrr0LbuLrQNR7ek6v3kkx2+4m5BUEzHFazOD3sD+f1sO2SkNK8eCavagGUirpDpuR3dlnOYHGWEDfmsboZUanJt3a2Rp243K3V6G1L1npiWMeOGG26n2ZIYfmD/YR56+DMAHLnhZp57TqrXN193CwBnT5/g4Py03oJSnLd9/y5eDbPWkiY6PnhwcoBNnWxC5McO4+k0Zde2xQ+txUNH/CnnxTMt04JMItcG8hs3HrrrNoCn1r9ozPOxskC2uvMFCCpKscYo5bpAsWIzP+cL4gpUC9FwkztUkHyUNio8em4RgOeOJ7z1jgkAdrdqpIoAuaSUnINTLYbamGCl02dV9zUZVKgpJTJVAfsf+fd/h+/7wV/lL7P7b7j5iz47qGuF8eYUv/fRPwDgs09+lKqyVL7mG98KwO+959eJY6VikpbQukNM0CQv8+uuqBlsnhWC7sYQhG6uY3zTr2y4AUBtbIKGoomG/SHzC4LkH5+Y5DmlMbdbk/q94Y4jEoNPnDxJteoQxhWGOq7YPOeSNoDwluegchuYHJs6RF+Kd243Jub55Z+FjjIbFsh7h8LJBgUEMYqL+VZsIdD3RymGwUSDZ5YFufrYsQ5ff7sgciarFTqKwjqzLnHw4PQYw66i7SPLcRXgn65WSHVMHOkL1hpmnN+S343VAtoqS7KRjAp2nDWeGTepsekrvvJNPHPsCQA63S6JxuD+qMvYpFsnKW0vtbQm9HxCoOqe7ZA8uVp+lEG2TaU+CVbe5yAwpCpRVK01yVUq5PkXhOVh8xyrfpemlrExJ3M0pN/t6PnrPCkrGBqYtHjpyzTG3BYUfIfsygpatyUvIdRL6FH3WRwXsSrP8GkaE3n0rAupeRkRFsYQls9H/a4h15ZULc8qEuqJF3p8z8sOAjBXM+RK0T+zJGP4tTMtepqXWNnus6Rru6moQuAYKur79TTH6H2YaVZp6Hru5ntex/ABmdt8+au+mufUb1qTMr4+9/QZ7rv5fgCOn1gkU3Zct9thQmmeucb6WlBhbrc8z63utt/WWCMNdv4S20F07diO7diO7diO7diO7diO7diO7diO7diO7djfCPsSRHSNWF0+x/T8AWIVED5z9LFSW2ILiWQnazUnhBfT6zgETllfJMdVkrw4ZpqXWp+muEpSrT5Oa2wCgE6nx0jbkeZa0ZtaOECkopK9jdXSMcBqdWhmRioM1UaD6RmpwlXCHELJvFcqIWsrUllcWxbBvPHpNl2tmi7s2YfpKIc7CpidXQDgVV8u+ln7rg154FERZrvt0AQTbYeU2OTMtpzndYrsubB5nqFWTE0loKcaJWOTVUZKwu2uy7+zM+PEnAJgeXPINdfJcf/+3/8+btl/D/+rFgILyD5+/N+LyP3//ZPv4NQZqVbe9xVTHNjzNgD27z/Ek098/n/5GH9Vy61l2B+RmZRVrZaSDXjiEamiBJU6cVVbiwdS/crSIYFm4fNkiFFhyjy33gdsJn6TU4h/G9OkrB/hBWLIi218FbYQ3DNBJMLRiLaJ0xapOh2UdIBF/dd2qOnnS8uXOHKzaKc97USTT/8qN9wgWlqXLl0kG23oMfpkRq7j2ttES+7b3nE/P/pffxuAXbun+PwjnwJgopKyrBn81YuCDttYO8OZRalidjsZPa1+NuKQTUWgRCpuWEsjBpvi50u9kS+O5knIZEtbF+c5Y4osaGoF4UwGXUUhTo/PkEXi08PBiKeeEcHn7/ymvwfApz77IVYvidbKT73zJzw6LK7W+M3f+SW+/a1v5EpblmVsba2LzpZRFFcQF9oetlT+LiG7HIIiy9Jy2PCWazwKbCGqKpUip68Tet0tQ1FFKuzy//d6Jhjf+t2fozFFlSqKiqpQnuFEoTPVyTBhxVejAptgtYKWp6nX85rbLfufmkzI6xJ7XjIf0ezK8+9by8aWPNOJpopYZqkXCSew9BQdFGeGVD8faYV3ZA0vuVd8fK0Tct0RqWYnwQzf8DZpv/5lL3897/g73wXAb/3G/wBgZXWNX/rv4tu/88Hf5ZHPy/4urJ1isi3V71e99E0APPLYn3Lpkvj2t37X6/jNnxGNwkF/CME6V82sLUSRFaVQbk0umkXRZd/nNiMbyXgSxk1fAYTQowHd7wMC71tgStp+weV6zV4LUA9FIZBqyQuUos0w6k9OlN6EUXG6plThtCNfGS2aJdgSGLtCqHEsCFNyrZDvOiiI5+uuNzzysByrvdCgPaYaLZ2E4bKMl9OqO7Gy3WXkEG8hDPV8KwEMNQYnWmEO+wHTqsu1Phq5Aju9fk6ayX198sRzHNwlvoy26P4H3/kv+KqvfSsA104f9k1s0vUuh+8SncNX3S0NWH7l936EQN/jrPE0DUVxD3tbYMoixlfQgoCg0gITlvSMMu8LhSISHsVEYLy+GoE8S/2hR2wWYrwZhE39qNABu/aa3Rw9flx3ZzChzMnaqn1lCRhuu3c99mdhrS3pDjoEqinFtkC3R7RLXiw0Tl4ICGMv/17L4fP7JUbt3x3x3HGJRzdeO8NoINfWDSJWNuWZF7FpRKYol0oIQ0X8jLBkUabbqNZgmrMwLc/24nbC7gXxCWP67N+rmqW1mHwk6OdQmxJ87rMf53d/ReZFj518hqePPgbA6vp5br/5bgCWl2R+ctoc4/nnRcT3n/2zb+BH/vVvyH5NBE7v8yqZCaS5hNdmzAvkqcUWZIlCgMtrAl6OtirmP5ehkP1zBz9XsqkfZ2R+bkr7QBBtpjTGOnRXCSFWZnF4pAaQq7aviRvwYsR0KdaaoNC5NDaBWPa7sF9i0C3XxDx/UpARk3M133iik+dsqT/tGhff3BwOGLrjGhhQ+FOqGjtz2qAn4XLkwskVQa8fmrn+ss9/94Oi5XX9YdF+u/PI3f67f/qvv5uFBZl7nzz+LPfcIWPk0kU5r7gSEOp9f8n9E3z2Q+LT9biFCWO6o6uBxLHYbAQlRSObWSJtijQcxEwoCmRFxeFHI8O998pYf/LEcc5q869Bv0+sjYDuvutOAD7x8Q9x4YIwaNbWNr0GmQlLx8vz0tzLacM1SrqFpRgSlnzDf1YpsTwsOKSgLW3jXDsq9BBNbjxAyNocqxpdM7vEl66fhSfPy3s8Nxd5RJ2NApZUS+uaeYm728MRqRO5TzNGrklWAJkiWjtDRdonKXu18cGFbp96Q1Hq/ZwxHUvzABZ0nfqaV7wOgHf83X/CT/6iMDsuXrjIE08I06c1V2O8NQHAubMyV2pNBcT6Ht33lRM89P4Nd9Mw4eiyW3LlzICJsVnG5KzkB7Y3l8lHct1jE02G2rAkrsk72GiMsbSiTClj6WxvuD15s173O6RofFEeNUu6WwQvBo9q7CnFNq95aXzMiyuKVh+NShCkYp6PKXTA8rSYtxXzM1PkLgIDykDbvSD+cfu1DR56WsaNsJF5bdtaWGNzTZFcU/KbXjaiqxroSZr6OVMCJHoMJ1Zfyyx7VXN7cbvLtZMyrr761V/F4Wvv0atImRwX1OXL7xEU15u/8hD3HbkDgE888SArG7JGXRte5I2veQuAb8jx7g/9PI8/Kb721m+9md/72cfkmkMD/OXj3JdcosvajFF/m62NVXq9Tf00wA9MtoKD8k3pSzpMMno9ealbY026W5u6r8JJHOIviGK/iJLv5KGGcZUV7dYQRpEXMXRUq852h5e9/JUA7F4Y5w/f924AtrY3WVuRBfd3/t3vBGDXrjn+43/+ST1elZrCBl/32pfx7nep4LoO3N1ul9aEBPnOoINVUcat9W0ydfqbblHIqN3iG18jtJunn33QC7oNspSuJuQursvLHSYBrbY4Xm5zerm86NubGWlPJ3IKn2+0ppgYF+rnxmDArl0HAdjsXE4B+N+x586IIN5oWOPr3vZ2AD7xsT/jj/5E7sNP//Qv8bavefNf+zj/M8sIqGTD0kSoRNHBcu01khh69hmZsJsgKELWqEeqSa2o3vAQ2WZL/G00SkkzN9BdTvextoBp+wWt71aV+0VPHEZkiVJETCDQVsDYDQD27JllbU3oH71uh7vuEj/8whce5h3f/g4A/st//2ndbY/bbpGOYdvbGxjtYmaimEgpmP/0eyUJNDc7zj/9FglKy1ub1JXSc2F5idq4LPSCukBMrzlwDSOFUi+PNnleF4D1MKapHfJWNNmaD1NmpsRnZ+YmGKpIY1yxaCMPJms1BvoeLq7L92Fs0Pwy2VjK+oq8xxPtKe67Q87TwcBfOPE83/i2bwFgdX0dvkYmRXkScd81u2lW3SLoylkcV1nYcy1nT58oRJG9mrOYT1S5CZS1hdDlZYNW0THK6/eaF1EpTLGQC/TzvJzk8isMU4LPQ6EwbX13ROebBusXCrY8PIQhpI5uWSw8A13c5cZ4SkkQJ35kue0GiV1BaLhmXM5tcWWJkU48BllOX7ed0iRnPQipOIpbHrKl92omqtLQz7uajB+rNLhw7hQAt7/8ldSUPn7k5rs5OH2XP/0xpW5Yban2Xd/23a7pGl/++jfyhS88DMD9d7+JqnaBvLQusak/7FPVosnW5oZPwgVY8qxEn7oqZoCs6B6GpZgwGV0ggLvhQu3SZ2pSxtsSw7e2i4RUoL5gbUKgNOU8GxYUQxOVEhjWO2DhWcW+KMmSmyjyk30nmG+zgo5rKKH0be1Fkzn519GcTK3hfUsad4jdLqGLdrPKm+8VGscgG1LVnQ1HKUu6GHJFh4lmlb5jAgxDtrvyzJomZlwpZKuuK1NcXE9UBTPSc48s4xqcZltjDHQOMXZYkqx5blhU0en3v+899FyCZGySUVdpIdsyyZycmKKqk9DN9W22uht6wFgF1K8Cd9Hm5EmfoNIskpgmKCU/SxNxn4x0/uSSYkVscjHEakwgrEFY8hBNdG5ubjE+IdINa2urZE70eFOlJNy4B0DmO0JiygtPz5/2dG6Jn46OGOEDjkts2JH3Gyc+D2AjC0rHv/VaOVajFvENLxEK6vnVTVAB6q3egI7OwybH5HnVgpCq+pVJLRs6RrUr0FJq4vS0/KaRRiRKv43qlq7SYMJKwLWHJNE1UatzcUn86saXvBaAscldfOqJxwD4zXf9IpEm9G659j7Wl1zzC7mPrcoUe/YdkuO1ahgd12w6wo7++vOzv9is0HiCcrfWoKAxXiYa735R9rHSlzb3CVfvQabc7iCnKAoajBaRpNbzoiVMYCk3Aros0eX3XhK394054pKEQJ/8RQWpIIqLa4tD33XdlpobvPRGGSMm6lVuvVcWe4vLm1T1Xen2UlZzl0yTdUMjjEhUNLsWhfR08TgfR0yoSP15LSZ2l1f4kw/9EgBveON3fVGCC+DJ5x7gqcdkLGvpe3dn6fss7XHvHbL4bMbjLJ6X4u7cPtl2Zm4v+3fLfi9dOslno+f1LuR0t5e9DMOVNaEf5aMeVmU5MJaajsO5haVLSnWOXLdDy6c//WkAqhVDtSb3O4prfMu3/V0A/uhDf6Lf13zzrzCU+b5YVsqrBt4nnZj9KB1BKelfzJuMJLagSMyW41hoiu6jJqLweXes3IersJ1JgRMgCn0n9bv3i4/uGm9x07Rc26WVLW0zA93ukG5FY4tOAWJCRkrLr4URq0pdnKhUmWqo7I42aMmTkFgTtHFqmGyIr21udqlp17yxapXOusSs80p5e//738U9twiwYubLd/FvflCSra+48zU88NBH5RiJjK+TlXluvF586eTJE0RVN9fIIXvR+37FzIAJGI1GTE9PADA+Vmd9Xcbefq9DTbv31Ws6Bm+u+fl4lveJ1e+SsjxSGRzj5tLWXh5/XEwLXiw2L8WfAkATginP+eV3ib77RJWiAE1YmseX5n46Bw+DgMw4im9C2NTmGjl+Tfnym6XYMlOvc+h++Xtra5tpnfsP+iPWlMIb6BqwFVcY6XhfDSNWeuIHE40KE/ocN916wELsftessDA1AcCjn3+AfXu0Y+wb/zZHjzwCwMdVdP7vvupr/a07fW6Re+6WxnaH9t3AydMCXPjjjwvNOgmHjDXkuQ0HgxclpS9fY/15tkNd3LEd27Ed27Ed27Ed27Ed27Ed27Ed27Ed27G/EXbVEF3GmF8BvgpYstbe8ud8/y3A9yO5uW3g71trH/+r7d3S7a6DtisFihbW0ThoheX8omTxCSIPc89GIyKtCiRJ5rOzaTLQTSvs3i9ZyGTYZ/mS7CMwOdNKFcwzy7C3AUBDs98b66t84k8Fbr5rzz762vJ1YfcBli4KEuznf0UEjxcW5n31qFKJuPEGgVieXVzj5jvuAODoMclotsbG6SZybUN6vPLVcg733vl1TGi1Pk3l333j48wpnfPY0hpLy2cA6I8yamOKMFJR1alqnW1FZK2HGfe9TODNm0sX6K7J590NSZteWjtNRVE5b3nTVzAxv0/PfUi5HjtCKulNX3f4y+2u/VLZvOOf/5wHZvfu67P3h0U88ujRF6hrJb3zV97r/4oZTBAzOTNNf1FbL+c9XMo4ImBZkUNRXa5r1Nkk0razadQiUsjp2FibzTWhQGxvKvSoQOCDzX0ien7PHpaW5HiS6ZeMehjk/mfWyhUnSYx7VfNh11MyeopCONXv4lActXqdz3z6jwE4dOgIY1qJjpXmt3juKD/xs1IhrDQN1Rk5o2948+t4y9d9NQCtplzb4jOPsnhG2goHs9Nkej7nl86z0pPK8o2HBUHY31jizW/+2wD88Wc/RvOhz8oxohrNCdnf8hmlMNYDutr6udXv+spdrW3Y3FQRa2upqkDmZFXu+8WVDSqKwOgOurTbUp1Y31jjEw9/BICnT0g1M46r7Jo/CMC5Myv0c6lMPv/EVUBLqGVZyub6KnGl6lF+kHs0js3zAr3lCn5hpWg1nSW+smRNgFcC9WZKQuKFSLjFlKDSpqgAuZhYpolchiArUT9cZTssTk6q3FotylKMxjpUJLbRCrjrJVKFod6lVhPfHy2vkqoQ/CCVOHj79CyJVpgujPrMajUpyfANP3S3TI1VGOlni4MhgdIlbNPQVXpPTRFDG6Ntfuv3harxOx/8XX79l94HwN7pYsj5zff8HFVttf2a++V8axRA8931Nnv2HQBgdnKeP/ukVJEuXjoJwOEDRzh7XiqXw/FZvvabhe7x2z/7pxBcJaoZCKohiLA55Nq63gRVvPioiX1FMVS6RhiCUSToYJSyqSjKKIrJE1edVkRXmhZUQizGo3sK3xIYoTshd8dKaBtjS4000kIlVauMlwGFABy61eQFFqwE7vBowWpOWJcfvuKWGeK2Q1zJdruiCoMJufYTnSGjVfk+zaGn92dCRVibUUiWyN/HtrYcq5hBNWekgquhxvCwZryed5SBdn6nXjfkWsFM8oBWXWhoN10rTUu+/i3fxQsr4i9//J8/xPxuaZRhE8ujT0ol8w273wDAW1737XzsofcBMDvV4p7XywEf+uAGmEqpgnslzWCiGHmGDqVV+toKslj+LD2wgj9YUEyNwSo91o1F8twc2qqgsF28cL4Qiw0C8tShcx2S3vg5CUGOCZwPxiU0jj+Bkt9VC7/Kh5hQqUCRh90Qjsm+WlNFg539laZHxTv06+GxJqn+vTwcMKdOllvjKWoOMdiKI3qKwDk/GFAJ5fPtLKenAuMdRcTXmpYtnQeaBGIVa56p1pibk/nYyvmLHDooaLJXvlzQgdvDKn/wJxKDXvOar+DU6VMAXLv/Bn7ttwWZfcft0nxl8fwJ9i0Iomt9a4t/9R+lCcIP/Zvf+P8C2lSQfUWTigLJImhAJ6JciDR7H7GZ93NBguVuD7rrHNDzt1bZF0gTDBc2ylQdL2wfSHMq2aCk2hwUOy/TI40bQwcYHSOCSgWjM1urdN2wHhFUVD4itBj93ZddM01e1RirY9Z17TFSvbZT0Zaf/pkgItDgU9EgUzGGWO/TKgnVWM5hy6a8/F4Zq+bW5F1rhiGrWxvuDnF+TdYIzxx9nq0NiWNPfuEhli/KnO3NSjcr23/7kZ/mhRdkXfC2V7+Vv//v/zFQNNW65eb7WF2S319aXuYbv/MVAPz2jz0MVPkimN4VMIMlyIfYqE7uG/dAb6Do4MDSHlfh+UTe43TYIQickHyddlu+73U3+MD7hU2zsqryL+PzdLYl7qSjkt9FIdZJAkQVrK4BR4lrPFMpmv5kRbMWbAYu/jmpkTAs5msBRewyedFUwwv7h4S6nprbN85th+Waal0wFWWH6G0+1GywrSjYJDRUlDY5GOaMRnJ/qnWZX9fikCyT/Z7r9qjqe7mZpYR6X4eKUJ6frPrQfuNYTEeZKOPjER0n8xNAS1FPDT3fl9z9Eh5+XETF3/6Vb+VHfuQXAFiYW2BibgKAj3/6fQBMTY9z/NhRue+54aVfIevGT3/wePGOXhUz2CzlhWe+AEC92WZMxc3TPKenCOr1VXmGubXUlZk1HFLMsYOwNPcpoYZsCdXokakZpQDzIsSRrvHK7A4fM0uIJOPo2SVUapiBrozDEFrjjqXmmtLh11ez83tIRzIHuXtyt49LNZ3EXNtu+RncY1sdHC8pCmMivaaqUssjC2Eu53hp2PUMmB7IuwCkum0zDgn0ndrXavDG1wsDKxibpdYSJsV//fF/xbQiE687WDTL+NPPy3rt2970dXzkCyIJ0u9ucXLxtF6njAGRCTi8/wY5x7jND/yQoDZ/5F//En8Vu5re9mvATwH/4y/4/iTwamvtujHmjcAvAC/5y3drgBCSUWmRYUu0sNJk23XMyBI/Dvb7KYEuoIlC310qV+7y4Wuu5e67hfLy+7/7234yPhwMqGnXuCAOsHVZaPX6EkDnd82zeE544FubW0RKLzuwb4GL58/rqYlDL61scesRmdy0GhW+8MSzAEzPzbOtlK+77r1Pj5uyWzuF7dp1lmvb4mS3tBI+uiFwzFfeK5OePBnwwMN/CEAYWYIx1fNKUuKKXF+qC8z27Dy9S+JE3/Mtf5tf+cCvyLkNt2h2xcFDpcVkYYutdRk0zp8Z58abZcJ+77XFQLqerXL0qCQF77vxi/Kaf6H9eQ74+uu/ChSV/YM/+/+wrPo4V8csQd7n/JmzJbhosdhIqLG6IQNgNtCJl4FcJzUmNKT6XNeXVwo/DF2HqoBAu1zlWeA7ja2tD8gTF0WDUhzVhJbNffCwQc2framNYVNJMpnYBcsRVqlco1HKDddLovYlL30V7//gnwLQbMkk22Y5rTEJOD/8H76DP/iEJGc/8/wLvGpTqFqf+6gkqU4sLnHvPQJ8rzRaXFqTxNxYPSTsy7k9ceIxAHa1pvjln/kJuZrJMWKdACz1t6jpAO8gr2vbA67RoDdWqzHUDhppZlhoy7UGQcijzwvlt9tXCoYJCTTZEgchXV2kRtZw/UHRo3jjG78CgK945dfyH37o3wPw7Atf4NBeSRCv77nE1TJjDLVazGi4QWod7bBYAEYRNJuTAGxvK30a42k+JojBTdxtXhoYywvTkoabWxAb/DGka9vlk9E8HRRd9Eq6JNhSUsxbWnQlM+XEGt7H3GJycnyapvpgMzvHSCdL2cwCgxXRCrx+Qq73qfOrTOizGw8juqWuk24Q3Vbdnz11A11HTYzp6Du1Ohgw4/TwdGBe6WWMaxO5wMD7fv8XAfje7/5xf97f+nV/j6M6eY+ihv+8vIz+Z+/4RwCsD7c5c1bO3XV9mh3bx0z7oPy+khKr3sUdrznEY5+4yFUzm5NnA4wJMIF7f4dFojIAN6MykXxfiwMGOjEOgsBTKkbDtNDPydy9j4t4ZRPf2dBaCJxmZXly5ibqFN1DyfOyskoJ1l/WeSolS6ISFc7D8N2+8NTjt75mH8t9iXOPHF/i7pslXtw4PgHA8ZUt6q5YZMFMaVzIhJYP8MjTQne578YZBttyH5pxREPHwG6WMp2LP7mmfF2bMa6ekfWlIy/AMMvJVceyMRkxt0/i4jCXZPv7PvJB/p///P0ADIZDbj4ic4gf+Q//ib2zkgz7sV/7IQB2z97AdFsme8dPPMasdli+7ZUBT3z6KiYncqVQ+MGmeDZBGJRo1upTQSDdokA0uny8CQgq6o8+ac7lnal8d9gAg0uWJ5hQ/CrTbl2Ztb4waYLYLwAkP1rQY/0/TuOplKQwxhQZSTdmZpZkU37/mvsOMDEhv5uuj/HgiRMAHFaKxdMX15jUODYWRnQdjTswtCuuI7BSgqKAqh5jolqhp8njzeGAfXXxhcqYHGtlY8C1+yUhmqQ5dU1oDHPDoiav5mb30kkkRl534x0AzNQmmdwr+/r8Y4/xt77xmwBoV2p88lN/BMAnPyH/fuPb/x7vfe/vADA+3eAtb5a510u+chefffezXF0LLntnwWA08WcIioTSZYI1JcqzKSUDvO+5f8sLRzC+6GNxnVftZYnQsuZXKR7lJZ8ueJHFeYW539RrFBL6MBbUnIDoiKwv1/n19x/k4kiotx957iKvv0UWn4f1PX50cYldSk2eCEJ6eg6BscxqgbSXu4SXIdWiX5QDQ50f5kNOPi8FyetuuAOAt73977BvXuLGqdMP8s53/jIAAyqcOyM+vW/vIX7up97Ni62nibuf+9WfJNHO1S+/4XZ+9gdlnPy9B8Wfzj5/gdqcdnMfpKysyH5veE3K858CUsuVtjAMGZ+aorvdwep7PBxmBHUFJPS36asMS6z3NQwMmS64p2Z30dUE4NzsNLfcJrH5iackEdjZXKWqdLVhZ6WQazBV0E6yNinr/OkYZXIu8xWvxxUQ17Srnsa/NC0KCGAu90EtQge10pipc4vXH5yEqsb8OGezI9vcoEmjL1xcZkHp3BNBRFfHbiKY1lja0SRWHEKmkhDtasTWSJ7z5mjIPqN0vbbE7RfOr3NkYVJP19LS+aFN+0w2XcdAA5H4wtjkQQBW1zf4e9/0DgDe94k/4q2vfhPO3vC6rwLg+usl8f70F56nvyYv0tGz/x/2/jtcr7O684c/uz29nt7Uu2xZ7rjbGNN7KAkkkAwJJBlCOr8hZZgkpDcyGZIhhEwKhBAChF5MMca9yZJtyWqWjqSj08vT227vH2vtfY5tSCaJ/P5e8p51Xb50/JT97L3ve6973Wt9v991iI3jck2XXDfOobtmeG4sBHwwwdN4slZZoV5XXS5rdUw9LViMb9jI7KzEcal0DteN1mD/Gcd9hplraKnPjKPjQuGar1vm6t9PKzB/J+rdqp+0ND42LSeWXUirjpppG3gtuY7nDRgsG5Ir+NbkPM/fJLIh25TC+fD0PBs1oddvObTXSJj0KV030lbOmk48l3KOTUP3uIudFvtULy+poINzKw1G9HnIJBzmpiWRvvvqvWzaIECWieHXcddDEldffMVq3mBCgS73nzrG8JCc+22XXcf5Gdnz11XuYcPwDkplmYuTM8coF2Ruv/iNN/KVf7zrO9y/p9tzlugKw/DbhmFs/hfev3fN/94PTDxX57Ju67Zu67Zu67Zu67Zu67Zu67Zu67Zu67Zu//nt/1fE6H8U+PL/3UdD4m6IUaXYLhPDnOmxZYugO/J5qYotLi4yPaWoKgxMrX6HoUUQifmqOOTU1HSMeMG0CZVSZhomKwuSZTQMk3RWKnVtRWC1mw2i29ls1BkcHtSfC3AU/eX6ktFNp5NUKyLud/DRpxgalwy47SR43fd/PwBHn5ROOl7Y5erLBfI5USpR8QR1k9q4ied3Jfv6jXs/AcCl2/Yxlpdre+jYQVY0++uYJiM5OV9TBQwzuQKZumSVHz94lH279svvPZZg+pRUAl2tRA3lk4xuvQqAyRPH+Og//gkAd973z9TrKoqaHaPblONd/Yd/wn/U3vpeEUT/g9/4BF//nNyLe7/y7ErVf9jCEN8LRAAwLgpacUU6cDuryXVFPGAZGFoVKpeK+Fo5aDUa5IpCWamsyFwJDT8W+DNMJxb49rwQMyFw2tBrCNwH4o4wsIrkMoyQMKIBBE0MR+ZnGHT0NTOG0hu4TCmy0DnwME8cE+iwo+drJDx2KFTar59m52YR2q+0T/Gl24X+FzRkjhXNJCtnpSrWSQ4wuSCw2JHBm6nNCxXQizriOSVeq5XnJ48f5uSMPG8J08bS6+9o1z4naVJT0Ux6xB3VnKTNYkMqbNVqj44inSKKSWiEhCrumyokGFUoz6kzy3Ta8hx+6p8+A8Dxo9N0tFpnWgl27ZJK6FLXJDm4Ebdy4ZE4nttjbvoslpOKhSANaxXu7wcW9YZC3g2toK2h+UC45u+14rlrqRZRxdxarTGt6cC4lmoUmVBLouq6HyMhpIvLmqo6ArF+GhUlBlD4hApfDxXdYCdTuB2h9O3eaPP4slS5B6w2F23aDMDZBUHlbRnIk1e60onZSozeypg2w1ml2qm/cYCazqukAcpKwq0H+FoV9bQiajoGjlap9uy4hJ96x++vuXL57Lcfux/Pk2t6/uWClH1yeooz2uX1Jde8gC/c+zkAXnXdq3j+LS8A4MauUEceOXiAI3cIXD+ZsjC1Y1D/YBGMU8+63xfOAkK/I8jlqPOmlcBI5FY/oYgbxxJf0GoFWI74eiPordJxQgM/phXpsxesqSSGa0SlzSAWlQ/DcBXJQ0RtW4PAMIynd/GMEWLhmu+vRVuw+n7UoVYFvc2Uzf5dJQCety3D/ecE9VjIQ6Mmn5k0ZI715RIxQb66UKOu1dlS3qGsKJwgI+eYTFjUdcxSQFYRIa7Xw0nLOVSqSjFbQ0FJpQx8/Sw9F1MRS48cPMPAtArdq+DztdddRyYj43L1NVdzy223APC5L36BiqINps9KpbPbNTj9lDw3ExNbmVsQH204Uae854BeHQrKKTT9GPEeBt6quLvvxhTDVXFxQ4XeIQzcGPElVMHVDoxAPM9AhbsjClIoiFJ5w4zpbGZCYiKMMO5QHIZmrNEbhK4gvGANZWiV0mHgx3MwNEJCFcKP5hJ2wMU7JQa7bDTDKV1XhlM212gV+alFqRZvHMiR0vvQW2iyosfIOBaDSv1v6/OQti1aunYFPR9LESihC4HSjrqKBEgXHRYq8nyW+20Wm1HjCIPSgMR0S5UOXiDr7We/8M8A/Ojr38bttwsS+6abbuEDH/xNAP7oF/+UV7ziDQD85Nt/Tl77n79HvSHPRKm/wIkz0jDn4l0Xc36nnMfZY/dzwS0UNItQk3V8zFXUVBiEa6bxGl8RI/bWNEII1zQWiG1tB2JzDeLLWYPkWkXLrNJu1/impzWCCYkxvMba11d9U6DrWhi4mEplNhVhFRoB+7dIvHbl5hyPzsv8Hul3aOr3Zpuytm8bLWIprSxYCVjS+W8FMDEkaIiKom6dACx9dtJBSFn3Jq7hkC2UAKg1Za/wx//z1zDVZ//qL/8+v/Ce9wGQ0A7mAF/89jf5+8/KPPrBV782fv3BwwcAGB/fzkOPfI1n2uu1w/DJnef5xjdE+uKG617Ml7/x1wD0D44xMNyiMvPMbpT/cQuDgF6riRG4JCJJEM8jUKS/5STI5pS6qB3zOr5JRhGUzUYlbm5z4shpkraMx+KiPBe1aivuAoyRAl0zQ1zp2ApgrjZHMR3xTUGvzSpix17tWBZ6uOoDou65BN4zurxGaCAfIxHJjmiMngi4eJOgAHcNpJhqyW+M2XXaA/LbUzW5zg19WbLqr2tL3Vg0vJxxGCrLZ6t6n3oNF09R9xYhSfWbPcOkq7T7UJv19JdSNNVHZyyHqh631JfCsuS+Tp1bZKJf5uNNtzwfgFuuup7f/jPpuviDb307/+dzwgR626vexv4JkZuJ/n347l/GUNrdbTe9ivsfuR0Ax0484xm8wBaGSOfFSOTfiZvchGaCjIqaJ7RzoR9IszmAUv8wkYzMzLmzJJIRck+O1Vvb4GMt4k9e0H89Vv1K3H3n6ef3tK88vfEFhrEK8goDfEWYZbN9tD35jZb6fMOxuWyHrHM37R7gwSmJt8dKCRo6puc1R7FpqEAu8pMLHRZduZacYzGoe6ma3hPLB1fnUtIwyGo3UC8IaOuzFjVgdUwzjt39tsuy5iVOnznKPQ/dA8DCYo0XvuiNAHxaG/W9403/hd/67V8G4LWvfUPMGts3/jYuvljIfTdfL3mAr33r8xxWH5bOZVhYUQRezqFQkHOP1IK+k/2/nugyDOP5SKLrhn/hM+8A3qH/9/+V81q3/7z29Pl04Rfudfv/H3v6XFrv7bFu/zFbn0/rdqFsfZ1btwtp6/Np3S6UrZ1Lq8W9dVu3f7utx0zr9q/Z/6sexjCMS4APAy8Nw3Dpu30uDMMPIRpeGGYiJFGCbp1SSasjlTnstGTIvZ7J6VNSIUukJDs5PraRS68UxNLkqRnSKrzYXy5y4pSgVMYntBXv/kv40pdu1++n4ir4xMZxXv0aqXp84hOfpVpTbnesqWOSLcr5eN123DL4wYcOSVUeSBYE7bN9+yhzC6I/8lcf/QCLC3Lpt3/jbg48LtW3a66Szw72ZWlXvwHAI3OuqDcDbwxM2iqI/7hy/I8cv5NAtX8MGzZlJTO/J5fmSc2ypjSzPbVyhFxBOLHVcJFwXgKXyUefZMP4JgBc1UiZn5qiNqPicB2PvjHJ2G8Yv4r+AamOfuTDH6R/QM75f//NXwDwkz/y4/x7bd9Fgrw4/PhT3PNlQawZz9IT+vfZ0+dTKjQcxQZoBWTDxlHORiLsCXtVuyRekFeRCyvLKzhaDRgc24BlSPa815VqS6dVJ9CKtekkVqsMYZ0wcsoWhG6kDxZVAMzVSjbeKgXcMAh9mS+JtHDse+3aaoXEKqDFaw4duh8rLRWV3ZfKWO/cspeyLXPkwPFDJFTw+ea9W3jtZrkPRyolAA5X5in0S3ODhbNTlCypAMweuosgLVn0mUmpIDSWzjJXrQBwfHaGYW1n3De+ORbs7R6TZy2ZzZDT4lev26VuyHHnz67QUQHSTjsk0PseVWNSThot+GGHJr2mfPZVV2/iG0/K/MwmxQ/ccu31vPPnflJ+t+VSWZFzS+c3kEim8YwLsyCunUt2IhsWB7fRaqwQKALAD4j/DoPmqsaM6miZqeyqJkTgPw3wEiNh4mm/qnFiGiG+VmRwHKISkGGE8WeiwpFhGmsqSgGrGl5rX+/F3w9jlIeHqfo5lu3gGlJlvHh/CYArLkoQdGQufe2JJUa0+hdklnhNn6BUv1yXeXC228aIGybY7OiT+bOhmOOpFalOrTad8GOgWaXrktP/6dgOXdW1S+prjmFSLkqlPZmEJjqXFhfYor7ppkuuZXJJfNmRs6INcdHGCRZWZO6+73//BpfsW9UVvFHbZ//dZ8XvfOuOr5BJiS/N53McfeogAAsz3qq4+gWyp/umZGjYRdUOVN0gzFgXJAzXCMFHk8RK4UVVOWvVZ3r+sxshiB9b1cQxIpScmV79PdNcU319dktsAn/1OTXWCD6ba1BBMaLDE7QYgAVmQsVJ98q/e3flGUnLuR+cmomRgzs2lXnvPvnM5w6Lf32q1qCgmn8JJ2TLkLw/mkwyr+thvyLGukYQa08s9LoU1YmYCYNAK6R9qmFoOQbdmny/2/Kpql+urbhUlmRuXbRnP4MDUkV94D6pWG7btp1L94suVyuscMdXRStz6swkI2OimVhZlHO/+ppRLt4rzV+MwKNWF8TG7LmjghoOL0y1+2lzyUiE4IOR/I5NAJ7WdEAdR7BGf2stutMwE/E5xjqRYbBGq7lLoHMQr4ep/j/wDUIiNMXaircini0HzIT+2qq2IaovZJhrWq2H5qrWWGhgaEOTi3aLL9g6kWRINX6emF+ipwjRHcNFBjL6TKTk3Ke7TULVVDXTMFqSZ31bOctkXRbTtKJZPRNcRRVXQ5c+RUqbDnT09YwTCZib5HX9zeVTtAKZY4cOnuDJx+4EYHR4M3v3iqbQ8nItvttXXSX+6Ctf/AT9qk1y+yOf48VXvwqAf7r98wDsv/higiASmm5TTEsce2hqmnPn5rmQ9qw4PHID0RoSriIcVlHBxOtNGAaEcYOUgFW/YCqSkaejHb7DcxCGNnEzDuDZjRUMYoEtw2ZVONpY9WPRa2slwwhX9eyDAEObTezaInHc/h0JNinT4/DcIq7qUfZCg1BRWAX1ecutBjlF9/RSAZYr57O5kOWsagUVUiqqbob4Gksue13ylszZbHmI6fMSg3qTom3zDx89CMg69s1vfpZbb/0vz7o/L7/p2QL0ABPjMi/mFs7yopsFWXFk4TjL8yr2rCiea3ZvZ2bPlYDMp82bZd/0xMF7qFV6+H74zEP/u2ztXLLsZBj4Lu12M368bceJp1XPdanV5Dx37pHnYn5+IUaemoZJz5MYon90B2e1qVS2KM9NrbKEpWNjphJ4+hyGXpvVORjEcVig+oGYFkR6pZYJXrTGOjFLI4gYGKlV1KGRsmPGByFYKha/fUy+c9HGHJu0kdJkpUZX0f+O3aWofy+pqPxSy6WniLBeMiCje41iNslpnUt5fT+RdfB0jV7sdRhWZHMyNOlo3JTT5zJlJygkI1QubN0mjIfjp5aZOidslBe84E2x4P3dd4kO0i1XXc8vv/PdADx29kCs27rWDk9JnP+TP/Gz/M1HBPF15923U1mRfXC7slYv7z9uz/RLhp0ijJB6AL5PoNddLhYZHhIE5NHDBwFwEklGx2Wfk80VOB+xv+wMyWSEaJaxGxgcZHp6KvrhVcdjmqw2CbJ4tu7WGmdjrvleuBqvr8ZO3tMRYBrH1LrVuInLrl0yty/ZlmKbagMePDONob5tMOXH+05D14dKp0lX40U3EZBVja1SNslsR9a5cka1fEOwJLRnpdejX+ddMmkQ7VKiBi0mBjmdg74fYupnnzqzxBvf8DY5RqXO/l3SuOyay66LL+39f/ABAD70V7/HyrLsa3935gTv+fHfedrdM23YvlXyDk8cfpxLL5Nj3fXtv6LTcfnX7P+1RJdhGBuBTwNvCcPw+P/1F8MQej3AoFJZFZb22hU5bmo0htUbKlzseR6L89IRjKDLzDmhEMydz8YbhVNHT+i/J4knaQRLBSZPneb++w8CcO78Etdqh5zHHhVH0KzNYkXwSNuk2ZSgNvS7JLKyWJoKrx8cLrG4LA/T44ePkNLuUIvNFa7cLw8cXaHK3H+oiqfnU7CSbBkaAuBQ3wR3Kkwx6gw0QcBhDczn2z12KKSvL1ei1BVh3rYGktVKh0Vbvr8hO8iRw9IZyvVc2posGxyUYH7vzoEYlju3uBwH5jMLRzhz7gkAUhmLDRsFjp8vScLr72//Ghfv2QrA/g3b+LfYu7//1wH4zQ99iFv3Xfpv+u6/xcrlAre9+DbOnJ3n2IlJAEzL1oQBlIpZlud1nsXdWjIMDouj6bQaGNoto1E9TbWqkFJDk2dBLw6gAq8Vi9GDGc89gmCVIhIJIdpJogBfEmwRXaKHYSm8vSu/5SSTeG4kQB0SGhFtzubKa0XVf/8GGf+TC7Msq1NK+rBVE7wTYciJomzIar5c7xYrh61BNsvzjPgyjydSBU7XJCg31fFWqy2WNckXGG5MJapPn2GiXNb7qg7ScrEyJfms5ZPV+T06mmdJA5rOdAcjjJIscr7pskVOxTS9ZY+0wrHvefw8Tlbm+qW7RPj58Yfu4I2vfA0ADz1xIF5LJqdm6TZ7TxPIvlDme9J1EcPAsiNqYrhKMfWtNcnSKEFurNIc1yRyDeNpUbhaEL8UsIZ2HbhYqUg83IoTs09rtvi0hXd1gxh3eomSGJYR33dMO55Lntnj6svFN+0elvM8M3uWrm4gS8UkJe2MNGwneN+9Qn8eGJHXinaCRW0q4CUSDOjJ5R2bIQ0Em5pomZ1v40Y0oE5AW5P0gRGQUJpHoJuWDcMZXv+GtwDwwhe+mjPnhEo4PbsUJ7oAnjwmfuql1wkd8Z3v+2le/QqhdlSrPT764S8A8M2vHud/vu89AIyMiT+78qrrOHdGgrd7H76D0JDxXFwwVsfzOUHiB4R+E8KARDKiejlxEBQERjzIOe06tbK0EDdpCXx/lR7E2iRB9NpaCP0qLTbEXbMHTawJ5laTGtFxnzZPDT/eY8abxtCKN5iG6a82QrAcLtovvueazeI3JqtzHNWOdX1OCiet6/hSj997QJP7SbmGrJOirtD8lmWySWlujmGRjGjnGfmtpXqXxVYvvvTFpj6PDpQ1kPVVbLWUtjCK2mHI9Uhr0aDpeCRz8tkDjx6gXwVZs3lJrPzF3/4+VV98rF+zGc6LfMLJkx77920G4NprdsT38aZrpWnGe3/3JxgalOR8r9HBsvvx/eegv7DSEAO3g5VY7Yrs9+QCrUSKIOq2GlMU13QoM4iTFIZhrumOFlGpw7gzcyqRJqf+eHl5iWa1unoOz+jyKgmGNbSzIOpQttriIOoeaDg2RBttIwAn2hVb7N0ta8xNW+Q5mKzXOar0jr50ilJOnolH56rcOyuxYESpH8hlWPS0Y2IvYLdWYSzbiudHRTd8jWqXuvrdVMKmoa97BAwo/SNa1/NZm0CT+81OigHt2j2yaZ6lRdmkTk2fY3xC1uhqfbWLeKUl9+zMuXkevVMSHX8TfJ3jD0uia2RYYqypc2d4+YtfDcDc8hR33iNF0cmTZwl7axOVF9jCQGhflrWGuuisSiiHPLu5gQFPoyytZURHyTDWJqYiJ2LHiVGZh3E5iNVY3Vp9aVVrYk0yd03ziyjPa68pEPgh6PzFDNm3V57rF22QZ+VYpcojFXkuxwu5mI62NWtitGWsTvvy2kAmw4Itc7bZgYmMrs2mQUH9n2toPF2pUY0aHVg2negce02uUVH10qCsY//nb/8Hb/thSTJ8pyTXv2TVtjwLH/nI3/PovULZHx4e58C3vv6sz9548f7478eOSSI/l8nTa0zHlOQLaQZgW7Bjxw6mZ8WHFnPlOIHbaLTpaiFuxzYtvC4s4GriycSlWCoBMD83EwvMBzp/rrn6Sg4ceBQALwhXaddGZk2H2Z7G3GvMDFfp/WEI2hE2k++jrfczpm47YEYdTQxvlSVrw969snY/LyXnc3qpwcOa1N46UCSrReGlhs+9umk3FEAxkcxR06Rq4JlsykYJBY8h3TdWNT6ab3VoaIEhYVpUI4oZAf1RUwX1tQMpm6b+VjeEpTPS+MB1Qy66VNauiYkxFpZkr9fqyZr58OQxTk/JXvkD7/8jehX57V9816+zopIpF01siW/h8IiAJoaHRpkYl/3klz57H4YKD1zwKDwMZZE37Hi8CMN4TrhekVpTJU204U4un8fRNTGVSlPXvU3o9+iooP+oShG57ppClGGuSUiFrMmUsxpj69trO8CGwWosJm/qP/phy1iVZQp8DN1LGI7BJRfJ/v9F47LOHa9WebQpid0N+Xzsw2zPwknKMVY07t6SzFOL5GACgxFNxoa+z4gWhZa14cZ8rcmSjnnKtKnqvGp7Pht1Dxa54eFiinpbjpvM5Dl6RKSG9l12M67GMo1mjdNzkiBcqYi/LI/388lP/x0A3/7WPYz0SU7l8QdneI9iZJZ1vb92936u3a1+6WXfx9/d/g8A1Faq7NglBcYnHpziu9lzlugyDOMfgFuAAcMwpoD/gRLqwzD8IPBeoB/4c93geWEYXvlcnc+6rdu6rdu6rdu6rdu6rdu6rdu6rdu6rdu6/ee257Lr4pv+lfd/DPixf8eRIXQxDQi0kmQnigppBr9TwVAYekqr3Dt3X8RD990HQG15huiyg6ADoWbxtVUrfhcrIZU5PzSUNgKvft3L6OvXtpqZDOfPCwXGjuCfGEwoounGm/fx+BOS1XzgkYcY2SqvbxiTasRKq8JrXi/VmsGlb9E8LxnXfft6JJKS7Wy1JLM61JclnVJxRK8bQ/BbB+6hPymZ1YoiKY4uLzDTkiyskzCpKs3xoWqdVkcyzBf3SVXxRF+Hbkd+t5ByaHekAjU85tBuCjzaawi8dmDXOJWWfPaG6y7mgUceBmBx+gR9fRv1e8MsLgvk9arrRLje9T22jpbjkYvqlQ8eOMXzL9/Kd7MucP+TQuG85+v3wjve8V0/+x+1Xq/HuXPnGB7ZQFoz4Pc8eFJKNIBlOZiOZNRNR+aFY0FXq3i5Qgrfi2g6STodyWC7WikPSIAKbxsJa00b9DUVgDV0M0N/C9OMW3UTmkT606Hh4OlYhp687wUuVkHHvdQjoULnv/BjN/PC26Tl7/lzk3JeX/0ETiL6XYuVpmTqm+4yCwflGXnlj/wIAPfdeSelEakg1A8tkFIaxkIqTbcpVY9dg1L5vOOJKTYPCEIjkTToFioApEKDiJU53C/Ihc5KhVZFKmKXX3sljx+VZyXt+GSjFuzNkHozQg3oPesm8V25r1l7lIwiPpZq58lrc4iHjwhyZ67eJKeikwN9ZY6fFmrj9OQiIdYzEE4XygxCDGly0VHUCBZEFENzjUBvEDU7aGNG6C+C1QqhYTyNxSEv+qvi0WGXSKDcsJxV9EMYxJD+iP9nrNat5T1b7yueVOQhrjYZBOy+VPzJzRNlWgp/r7cWyCpCpqkNKErpJDkVkjdNk4b6nr2WxWCf+KzihIxBq9KmVtPf7fnUtD3yg9OL5PQ3LhqXuXTncpNO1dP7E8bswGIyEYtZDyr1cWN/Hwce+BYAW7fvYduOPQBMTZ+m7lcAyFslHnpEKtNjo1Id/4m3/RxfuVPoZQ8/coKp41KNrDRcIrnRF111LQBf+co/Y2ulbOP4Zk6fkblUnV6JfUNw4QvdgIlppQkDd1X81g5w1BkIok/mUbst7w+PTjCr7Z0ts0uolJQgYHXurBXQXUNLjLRSBKWzigqMZ09MfVx9doKwganjhwV2NoJ0KXKh0cNMK5KzL8DWVtkvuSyLRQWAWZ1PZhfKKv5qBAZNXQOv6s8yqzIEEUil2/FZWlGKpm0x15K/5zouWV2Trx4Vn/CVY7PYeg0WJjW9ZynPhJzck7JWx7MpO/avTsqioc/KiG1SnZPz9LsBS9pMplITf29aG/By4ptOHwmYdqTqbVlujAC88XmyLi412jz06ANy3OFxJk/J3DO8gqABngsxesPAtKS5TuwfDOL5G4Ze/LMRysEwwjXzI4yr0CEBxhphZgA74ZBMyT1MJlK02hJPFMp9pDVOWVqYX0N1eQZdAyDwMHWNwTGIBJ0tje1Mx+B118l69IOjZc4rAuPe1gKlkviDTkPOp+AnGC6IDzJsg+l5Wa8mCgZ9A/LZCHVRa7nUFBWRsCxqihSuLNdJKFLoinFBNn/picn4Nccw6Wr415+waWiM1KcNgbKhQUMr6GG2y5l5RavkLUqWxEXnLbjqeUI327RhMwBHp+f49rdlfrz1Te/h1CO/CEA3DJmsTAJw8cW7AHjwoftpaOzWbrZZ1mr5E/cdBUVgPzdmPOO/CLGlPiZYnU8x0AFDKanRV56JMCVGcRkEq37HCGIkXxj/0JoDfzczw1WUhGkQ0fOjEzOTIelBpXfl0jGD45W7BugfEL9Zrch3NpbzZHR+Yxk8OSUI00uGyrRU/iGh6PZO06fakGsqZlJYiqaZ7XaxFbl2/WaJlT7/RIMJlTxptlssq+5EptdmUil4VysS0DZC7rzrqwDcfOPr1lxoF3gGGukZduSYNBWaOrdAZUn3GLUKf/mJjwLw9jf+kLzf7lJVBOZFI0M02vK8nnh8huLgEI3F5X/xd/49Vir38ervexPNxjKLXxeKXHVlPpZ/CXwvRvSdPy9sg6XpA+QHBcmRSKVihH4yk4tBZz1XdhxPHj+CozTlXqNNRDFLOjZd9S2hD4bCkWPUcRgQJuW+2hYkS/I8DQ4OcG5qRb+nqJgw4GXXS/xyxXAfrqJlppYbpDVGatZkLm0eKFLKKqrWNjg5K3Mpm3EY6ovo+HIO7aZHq6trVMqhp/On1nExo7m0VRk0D5+kX+loviHoNYCy6cTNNIrqM8uWjaX7gBW3R0vRXwXH5PrLBW9y36P30D8g6KxcTmL3sGPxyU8KHfHQoyfYulGopGPj49x+3zcBeNG14s8OnZtkfFTm7gtvfTkf/ND7AdixcT/llPjjo4/JnvFCmWGaJJIpgiDE7Soc27CJnvna4jybt4rvbNRkD5JIWMycFdRsYssOikV59lcWm/gqOzQ9K+ynjWOD9PXp89pqx3toWUzXoLhi2ZE1sNU1626MNjNDDCtCUKtfskNyozL++XyaTFbWihsGUpT7ZQ7W6xLvbCoUSGm8k0hZPD4laOVd/SVCjcUcje1bbZ+6rnPDmUyMnW25Aar2wPO3yXj9xb1PUtA5HJgGnp57v2PHa1oxFVG2LRKK4L7hhbdyu9JcTzx+D9s2yj5/5/4bOHVWEFeTpyXe+aFdr+ebd30GAM8d5ZEHhc5/1XUvIrI+jTP+8WtfoN6QOTM8OMyHPvTXAPSqGYqFBP+arSu3rdu6rdu6rdu6rdu6rdu6rdu6rdu6rdu6rdt/Cvuea3dhGAaObdFzYWBEso+tXkCrIhnXZLFIV/U4BkalCnfft79Oq6F4IsMC5eZKC+Moe78q1OtHOhFel1ROMqhf+fKX6Gnas1Aux0Jv9RXJxj//xTeDCkx+4UtfZ3SLZGE37xzGcuTcrrla9GEuv2gnf/2xjwCwdTzBYFkqz4HRoKG/ndXKZqvnMa4c7lo3oDoj1ZbqcIGiZqnnVNfE8HKM5yTDPNVyGVFtgPlak2JWjvdAVZBoXrXB9u0vBuDo6QV2XyTndnLyXsbHpWpqKjqp4xR49y+IsPeH/u4DXH/d9QDce+8d3HSjZO8PHjnK7EwFgCeeOALATbe8gM9+88sAPHbkDPd89Q4Arr7yGp5/+S/w3SwJXL1H+LqO8VGuvfnN3/Wz/1Frt3s8fuQM21odisUSAK979U3Mzsl9and6lLSSU9XqveM4NHWOLa14YAoCppzz8IOo5XmkKdEAW94P0co5aHttPQmrCaxBAAGhkYz51oYXku+X9wt9CUxTKkcnH5eqkmmYDPTJWA+NGxiK5Nm1YQv1ilSRI7Tdpl3b8M9L1n96qUpZq+0d2yebluv8/V+VttX9A8PYWrEq57dwy7XSIGBmao7GnGTX7z4r6JGkA822/O7hp6bYukkqQYsL07TzFQBySXm/ZSfYv130asZHt9BflmrRt779dfKKxkwXHALVYHG7ERKlh6HCr5aVZPd+0TY5f0eFqfMqiq9Vmkajx7Ci0YywQSYt911QcM9Rfj/0Cdwmhp2KdbfwlsHQamtgxiLdUVvq0LAJFPFlWNYahIMBKtJvxFXyNTo5TjIWSg1D8KMCkZNeRQ1G88s2CTNy34xmlfyAuP3hgUx8nqfORJqCIfVlOe7l2z1q2tZ70inSigSm1Td1eh67Vbtgqd6guygVtJlEj6SO9fJpGQ+355HV8wpzDln1lUbQI6dV088/IRUfsxvS0LJs0/ViUImbTGCYWnl05Ro2XnobWyak0cL+i66l5cm8bDXr5K18PDQ//a5fAmBqRirCwyNDvPBW8XmthQz9L5e1wnfb/O2nROj5ba97JQDf//q38iu//jNyvmaHfSpcv3TmGNmsPIvnTlxY4Wf5McAIMCwHO9J3MKwYyReEPpaKFw/0lwCYmTlP6Mla5yXKq2hSw1ytIsa6NsEqSgtiWFpoequonrWCqzEKJ4CErpvdEDsdNVMAQ3Uo/QjiZvgMlRThUk6ST0nlbyyfZaWlGiL6LAQJk83Dch1+GHDmnKytXdvA7USnqHOoC8M6b+o2FPvkN7rtDoNakf3UE6KDmfBcqtrCvRX62Lrm9wioL8o5dCINyrzNBkUjbtx8GR1FZi4uzrPpMqkEf/prXyO0xPe62jK+1a1x2wtFP+nMkU/SalYAeNGLXs4N10iL7H/8xCcB+Po3v0FpXM7XSXvsv0Tm0+cOHibwUzwd5nSBLPAJejXMZG5NrBMSquOwHCdGevk98QVWIhlXpsPAf5rAr6WIBEtjqbGhUXZsEn97+xc/xZ/+hcQ3f/vRj9NQraz+gRJXXiFryDldNx565EE6Op/DXoCRlPtpOxbFEfmNlSUVzE4YPKa+6aYxi56i/zbbZbqq75cqyPk6pslEoQTAYq3BrCvHrdghKAK7vRI1XAgZVVTivO9jqO8K2i7FgvzGPz8+KccnoKpIw0a9Q0LRH23bjEPJtGrfHO8a9Dnq7y2HckqQAPX6Ejs3XgrA5dfu4mrVe/3cP4vuyGtvvYUP/OIfAXDVC17E+XOyhlcWZ/jF9/w+AO/+aUG5p9I5Pv/FTwGQy8PFe2VN/EZwP6sC7zw3Zpoyf4yoOUawRoTeXO2mF0/nkNWGFsEqMtQ0iBGkMWLZWP1eyGoTC2O1eQEYqxqEsY5gABHC1A0wNdQ3DA9bhZY91awhNMhrrLShP4+p60V/JkVa0Qzpkja06PjsUI2h+VoTS9EXiZxJW6+jVwn0thhs1n3DWbdHvyJnjAaMlOQ3Pv6QoNhDz2fPbmlMMVut0PIlTguTFivKGnjyhKCxfurdf8hITjSPFpYOYSVLANxx5+cZKsuzt/+611Dg2QiHt9wiAvS//K7fYrOKOl912Q6ykban2kQ6yVh6KP7/F1x/MwBfHH+E2bkl2isXfstYq1X5yle/wute80qGRoX9cn7qFL7GC4ODZboK5X3siGhw3vbSH2TfRYIWWaks09Ax3Tw4GuvnPnJAWTyNDoH6NDuRJp2R9aHZasaoJsw0niKAshortV03Rvl5bgdb461Gc5nxrbL3nJ2XNSrohhxfkOf+igGfRE7igi0jKWptbUaWi9CKsGujnOPMSp1QEaRhJh0Hcu0l9YlmSL+i2Oe6HTIFZSO1Awa0OcLfH3hKXvN9VhTZ3Qr8GHnqWWGs45xQhNHBRpcRRTEHQYihSFsrYTJ7To43OjFCQ7UC3/Z2QZVuLQ/zj3/yaQAGvriHTFru5RX7L+GhBw8Bq4iu/Rs2c/vXPgvAHXd8jJe9TNglj969CIq2v/BmgJmQRirKbLEcO/YTQZjg8UdFj/qaG24AwPU8FhXlODc/w0pN91XJAF+1vXz1Lzfc9GpcZUp97OP/APYzYm0Ae03Dp1ijy4aEvuaBmVld41MlRRK68iz2ei5FXVd3jvdTV93i0b4itiL9cjoPel2f3RPyvC42WljqR/MFh4qOaWdFx9YxmND93mSrw1ZlvAU1l4LqeX/4QZFLD4KQqsaOXSPA0cXNMwJCM5pLGrdt2MO7f1REtb7+rW/y4z/8EwBMTU1R1DhhpTrHck0Qqvm+XHztv/rf/gyAl9z0CjKOXPM3v/xp+JNfY619/wtfwX/9NYnB912yg6uvFubGRx++nz27pZHCAb67fc8lusIwoOd2gYClhk6QwI03k91aHTSYfuqkPLB03dW10bRANwIks9DRTjeReLhprQoQmg6dtgy244S4XXkYlubceIInNQn15PHTsdh2rpgnm5Og5oM/tZPmshzjK98QweP33wsXjcoke3imzWs0OVUaH6CtIpfKmCBhOdS1I0IY+PSPyyQ51G2T66hQal0eBK9RE4FiIGHb7NfND+UmByoyORtteb/aauCc/BoAl1z+RqYnZeEdy21kqSaJkJuvfQkAtWqFFAKP/bG3vpOP/sOHABHibXfFiVerC+TLck1nzoqw4YP3dbn+WulgNr1whle+QgL+bHaEH/7p3wDgb//0vTzT/tfn/p6vflqoRl/+7O3s23f5sz5zoSydTrJ/3w4WFxaZnTsNQCZt0WrIwji32I43AJEzWF6pklYodKPZJelIILq01KPUL5D0SkXmVbEwxvLiiv6agRnBQf3ualDnJeJgMQ7+Ao9QhRCxekQ6te94+QRljU2e2CXn8PX753jNbfLgt5o1ztTkuDkngWfrcf1oM9Gl1pL5lLCg3ZPzrHR7jGqSafdF0tGiXalx4pg4vnqwTO+8uJJktc1KU06orejgXNrGW5Tk4JaxMQZTkrzdfdUOlhsSDGQ00Jw9fYb5GdnoFLNpsv0ybxw7xeCYBBBPVquxuGeoGwcvMKlph75utkEnkA3i8269iaeOCFXoQFMWsVqzRr4t41VvtzhzWE7UCEMmxjdy/ikVE72QZpqYiQwQxglNnNwa6qIZBzJBTJBbpYGFoSOCywCmEXcpjA9vm/EmNfBdVqkfEEYJUgDr6YmJMPSxPJnPRg489V0feH6JOe2E85iK737+qSrX7JJn/cGuy/MDGbvFhE1PA6OMJhu8dEi1Kb4n8Dz6hiW4X+p1KSpFrdpQenTWohbRETuwe7OMeSFpcHRexqamoryWFzKmC+R0rU1KfWK5b5CeJv+aGhw+/MCdpCxJvB945HbmtfDQqDVZ6Mh8vPOBB8jlo8YaImh58NABXnipbDC2/MxFfP/3ycZx567dZGblt21lh1RaVX78x38WgK/d+SU+/fffAqDV9lheqvDcmYFhOoRBENMQCDrxni6ZcPBceX4XF6PEVId0Tp49z7di0X7WCIg/Xax5lUoWx2RYmBF9g3B1muk5hL5PqEUfM2Hga5LhdTeWYyHzhgozHzpV5/lXSCDmNbqcUb/oeEkGx7VJy1kJmFp4zFa0k1TSIqtdPJdNl0HdkE0uynObMVY7SZmmwWZNpg0MpTi2KBv8hYrMq3zKYiwvvmC22aE/grpbJosrMp+iFE7ZtPG08+sTBx4kWZDnYrA8wNe+LbShiy/ex6HHpFlMROPFMFlelnXzqpds4uAXheLzwD138OiBewF4x0/IZnPz1k2xkPpSM82n/05oaoXMAPV67znLS4Shj9+tYUU8eIO4q2rIatdEK0oUmGacWA8JMTUZGJrG6utKqV1ZXuT2J+6Kf+vwEaGCjI1N0GnLmP6vP/5d/uIvhfay/1Lx3c1Oi0nt0tXoVkFpGL/5yo34mmRccKUQcvu5RS7fUgLgYKPJVUrDqRpu3NAnicwpr9tiuSq/23NdBjTealoBIxrsP6VNd1IYtDtRws9gy6AmOtM2h2bkGEsNOZdy1mFMk1/nax36NGHf9oKYYtTQ52HDaB9jAxIHnj83SaYo30uEo2zdIYLPZ1ZaLCwIlWO7vvZbH3w/l1wia/Bb3/V6jt0nSfTPfPLjfOHj/wzAJz/45/JbrQZTU3KvHzt9hI//jWwssQYwtfFQ0L3wdDOpCK/tMgaGacQdkuPPsIaxY7hxnGOYIWEkYk8Yxz2rdEUw1viu7yxAb8b0/GhdNABCeSatgkWqLO+/4aZtDGpSf04TlbcfPMfzL5HEShpY0A0shktKOwCnDU2KJFyWq7LW9bpdNm8oAdKkZSyU+XS6Kr4ta5q0VNTZNAPG+7Qr92CSp1bknk2viG8qJC3OPikxS9vKMqDFzemFJd78Iz8IwP6LLwHgS5/5GKMq/7AwP0mosV3X87nyaqHZ/83HP8hP/8BP893s3OOHnvb/URTy4BERqL967y4efUqSSQvtBV5+w6vlHPZcR6O2gP8ciNG7XsDcYo0773mAdlNi5Xwuh+/J372eh6XOaesmWcfrzR6bNkiBa7m6RM+U57Nrh5w6Lc9DN8pnBh5oswk/hGy/HCObTlKtiQ/oH+iP6WmNljZaslJxgsTM2AS2HOO2i0v0a7Mcb0LlFqabXLNN4qZzTZ8rsuIXl0OfYknGPxUqeMFzWdR1rtftsmWD+Iie0WMY8RFnq6vrnKtJetOCDUpdKw9meEqT/rNVmUt9GYcx9UcVz48bH3SBla4WdPS8R7IJyvrZVNuNGb6BG9LS/ebRc6fYf6l0yDt8+FG5/ze8JB63P/iz9/Lun/gtALZv2U6nIc/d+z/0hwD8n7/+MIvLUlj8b+/7HX7pZ+R1y80SXOBu1ZEZhkEyYZNwoN6L/E9IQotihunQ68i9P3pYEsjFvnIcG/U8Ny4wmymLoCHjaKsvnZw8R6kkY97fP0KjKr41wMTzZA6GQQhRY4I4vF/ToTsRxBIPr3heH3n1bbVAnv2HTizxostFYiPlBpyOZE78LglHfE0+StZ6HivaGbjX67JPaawNv8WgL9c8raJBGSzaHblO0wgYV3BEvpzgrMbmM+rjco7JeEbmWs33yZurc2m5qx1ntX5/xc6tVOdkDbtiz16GFIA0ffY8U3OS3JroG2BIm2pcvmd1P797m6xzv/sXv8yv/5R0YPy+N/ww7/xvfwzAn/3ez8effeubfhSAv/zHv+W+L0izq27H5uGHjvKv2Tp1cd3Wbd3Wbd3Wbd3Wbd3Wbd3Wbd3Wbd3Wbd3+U9j3HKJLcnMpIKSQkkxove0IXBDAh/ENgqo5rwLUIrgclaWtuOKDv4qmwF4VlY8RXYEfC8zZ6RyuwhhJWHFRPFFSsebmMqVBycwPjS2xqSgIij/49BRJW/5WpgY7RxLMVyQTnMgkqCmcdPPUCisqJpjRSmDaNEkqNaThdrG0PNarBLT0+g3NUDuJNBVFUIyMJXlSBWGTrR4rWo3fkJJM8AuueQWPnpLqTjnn0eqXLKxXOY2hUMnTM5MA7BhdbRcbhG0OPSIV6s07L8M1VKA91cdFO4WWsLQkFZHDj5/l5dcLXPUXvv+/8tn7HgTg+quu5itfEkrjwdPyW5duycS/ccdXvs3pI1Ll3bJ1G53uc6L0DEAiYTMxMUiIwYlTAhufnq/Q68l9bDWWWFqR8UtnJcO9ZfMmzkwKgmj7tm0kEpJxnzx9nJZWpOI5ZubAing3NoGvZSbDItR6mpFIgBmJWiqKx+2JOjOQmXD5gRcIJaGSgKWWoFYspfH9wMsvYXIuEtNusVWpO6WZ85yal3G//ipB1q3Mz3G+JCit6elZLEVmzSzVmZsRqo93Tihknh9gqpDm9t1bODon19E4d54zc/K9bCBzc9zJck7FArcmMhQVok8AwyWltymdZ8P4Bg49JnMvO3eWTFXm/NDAABUd6mQ6wdKC/Eaov2FZJq4hz2DKTDO2QZAittPDbWwG4M67Ba5+6fO20Q7lPuUSE/Q6mvUPLF5w68v5zMJ3b0X777YQRVf5GAo9DoOeimEi/5oRnSRSfvYwknqvDGNVuDd0n00ZMy1CpQ+GbpuYBuK14/kW2EUMnUtGQsXqvYBAfcy+S/u5bFju99+tmEQqlIEiwm7aO0CtJdXEOgZLiprZXGtTUbRZv1LCC46Nr8iqTtLCUbj21LzHUlPmSl79aq/hMzgi87LtekwuydgOpEwW9Rx2KoW7tdyjpii+4XyKWidqiewy3CeU8K7ep/5ihrk5qcQmUifIJOReHnjwbm57pVCed+/dy8WDe1hryYv3cs8JQSguVOeYXhB/U+7v45FHpXp56rRUud/wQy8gU5LxPHFkjg3aMjuzMcnBA/K9VpfnwCKkQ4CjKBvPMzDUl3tBKBB9wNCKo2Un8BRN5Xl1zKzSpnttVlteR0gJWJ1wqxTGMAyI5paRcIjmn6UoVr9N/NrIRVmu3SDjajhJQkWYJZXaf/O+PlotXf/8kJ16HzcttWIa2sCgjKmTXqXpWikY1yr+ynKLZW10UFakRbvpYSTl/VLGYWZZ3jdyNg0VGN5RlMorXT9upjKQdGhELdwNi5KibKpNed9OGnGr7HJfEVcRy48cOkQy26+frTM6tBmATkE+e+bMU+Ty8nsrHYfQVqRzI43dluv/4hcFpTw8muSWl70AgN/4lT+KhbarlRVMe5DnpP5oRKwvi0DFZE3LgoheFvqrdHt9LWSNlm5ITH8hNOPpEiFQO63W035uYGhQj2VSWxb07s++51fYsU1iid/6818H4B0/9LN86nP/BMC+jUk2DsiadjKZxLTF13ddOa/rLtrA8opKN/jQXZD1aqLTYbJbAqCgczGbTxN4Ms+bnslEIMc9N1djWdum5xU90+v5hIqwK2Qs5pSCbRaSLKlEwZacHNcJTTqKyh3OpqgoZarbC8mqIO+Q+ocbb7qJ2WlBl1w2eg31miLzDYtLrxdkxI52my0q6JxTGvQDD93Di64SlOqff/avsFNRkwgDV/3tm98uUhJveusPsOuSbQB89ktfoVdfMw7GKnX7wptOKMOM6V0Y5ppGKKz22omgguYalFa0WMbHWiNoH72vSLEwiNClYNghoaLGQtcFlE6fiNDxQdxYJTtu8aLdEtf6PYMVlYcI9HxeduVWWirk3zAMxvQ0/aUGDT35oQlZkwZTCUL1tfVOyAgyn87PV6korL1fKf3dnoevNKVyKsmiNs1wEyErTTnG7qIc1/RDllWkvJi3mNXYe9euS/j6V4Tq/KA2f3r5i17IFz799wAMD09gGvLZbTsvZ9OgoJNf/KJVWtBamw1VVmDhDL/yc78JwL7dV/LQA9L06effLbSgu488Qqog5/6LP/qLBC25DydPnKFerYLnP/PQF8ACDHocPXKYnMbY+WKJnKJpk6kM9VqEgJIxnDp3nBFFaeZLORa10UO34xPq+hcvc5aFob7b8HpUtGGDZcLEZmmm9erXvJzHHhfJlTseFFH1bCJFv1JCB0cb7CwqajSVJpmQ8+h1ZN7dmCvFawUJm0CblWx0fWZLMtbZsqKO06tUunQiZCSOm6pUlD7Zl5K4u9Nz8dU39WeTLC7L+52kSVWbNe0sROh4h6bSzUoJm1pP5pXnGWQ0DpuryDlaBcjY8lxls0kSrlzbUtMlOSDx3aVjm/ipn/gfcs5JGZflEPr0GU0mDApKoRvoK/DoAYnpbW0SdX76LMVRueYP/cXH6CmS0gxb9JflvrcrXFgLQzy3J40MdAIEvS4d9fl2OkdCqemOMgUWZ8/H9PpE0sFMyZz3Az9uUBAoI+bBhx5gy3bxt0sLc/QP6LwyDBRYRc/rkc4rsjjQZiReiK/HyG0weOUlskakkmnytu7Te+qXLtuCp2jmBiG7s3KeuU6bhM6LSIB9wEwQ6Fzq9sCK55LLSlNOaCC1KjXSVbbHSCFDpaKNyGyoahOX3UqHtQOTls6lYsKirnPJ9Q3yio5b1FzD4MgoR7Wh2PMuv4KTh2UenDp9ij3XPx+AO++9k7e95ecAqKnP7XlBLFvQ39dPy60A8KlPfYpXvOL7eKZds0uQrb92cpHAi2DCPosLs8/67DPtezDRJfo25b4iS4tz+ooPjnaYMT2qc5psiG5G2MNIi9MMA3e1wyI+JJSyqAkIw0nEOjoYJqY+LBMbJlhclNtVa69w9T5xBgODMjlPz7QYGpG/Nw2XOXFWNl9TCzWGhuU3Lh6TgN7OGrQVtj0+XGBmugLA7rTJzZp8u0f1sfKlPrpK6el3kpybkwTZYrNDXSkBWaUwLtfqJDLy/XSYiwOQUjnH3HEJCh1Xjru0WGG0X2COd3/lnyiNCKzwFS96Mwfu/RIAI8MC637T97+DT35ZNCP6Rzbyuu+TDeTc3CKmTvqrr7qefFoc+hXPk64dF49sZq29WjWeAP74z/8XAF/94u0AXLrlRRxuC2TayWZZ0WRZLjPCL75H9HXe/oP/zIW2SqXBZz5/J7ZlxAHZ4SOTkqAAbDPAUXpHVjdZmbRNuycO5ey58wxogrPV6xFGAVsEIe4sYykfO/QDgl6U0PIFiwzYeYvLdsj8LOl8OnayxsioBM6bRtIcPy3j106ElEflGP1Kp6h1WnR187JtYxlDdZEct8dOhUD3tJNYvb3EdEUoNqOjE8wclaTXzEqLJdVgyajDDc0QS2HTtbkFtu0STYR9W/t4+B/uBmDXts0ArFSrbFJtm+XpqVgfoNWcp7ag3WZ2bgfAS9r06Qaz1qrQVqplvlCmpdDtYm6QzoA42rYXbUyhV5N72Vs2+OKX79Hr2Mjv/7roii0sVACYXLkHR7UWlparEK5u4u6+5y4aSk290Bb6HqHhghdFWUasW2SYPoEuHqtJLI+wKwk5kv2rNMdEB9OIW20C2mUvoobYTuyzCIBIMyRlc82l8lyXyjI/jp1tsUHh8ZuGs5w8K0nR2UaN/kG53zsUCt1xO7iqr9RfKDAzLz5mSzbBrdp16m6laNilPHXtOjOUSjOjfnd6pcWyjtmgFWkNurQUNr11awlbg4zRgRyPLUmC2dNNgG+GjGpHl24vIKUbnZEsJDR5f8ke4eWfPfMUpW2yUWw1Whw7KZuC33jfn5JzZJMzol2r1trU3Bmu3yEQ6vd9+E/oK8lnvvy5f+KKq0W7YWlJfPj2raMcPiMb1nQuxUJPzqHl9cjlxf+1Ks/6iQtmlmXh6XyybRtPn8lMyqSpvr+jEWPgtTAc8SVmuhBvHI2MGTXIiy1oddfuLIn5Cwbx2mEXHS7ZKMcr5uQAR8/V2bxRNgATAwnOnpdNxlxjjv5BuR+bFPbu+j16UfCdzlDQJNJgPsFt2m30bqVSp/JpqprULHkJ2qptMltpsqIBUdHT63X9WDcjnbQJdJ1OJFLY+plsWo7VpkO/+jTDD/E0LshmE4xqJ+W6doFy3YCGJl4Xlpp0NEk3VMpz00ukkXQu188rX/EaAH73j4SCv2Pf1jhJN3VinqCj3UiDLrv3iLbXWe3UtumiUT73ZdFjyg2UWD4vz83w6Ebm5+qxxN4FtZjx5RIqUTPAiammhmERuBqUh1GHT5soWxGELgntuup1eiQiiQX18/X5MyxpIueP/vR/c/lVou1TyiX5X+8Xeksyl+LAQ7KG33iRJgVXHmGwKNc/kMoysyz+5uyRqXguXTRSkmswO3S0ADWQLxD0oiIkXKrPxOFl2cRmMykW1VcMZ9Ocn5bfmK20WNKgfUh9kxcEccOsnJ2MKfZbhkvcd1LWSlOP7xkBaaXLWYZB0lff1JeKpPPozop/vfsrnyfbJxuHm259KTs2ic/6yhc+hqvaiLMLK9ywp/i0oXqeJrkADj14kO9/hdCq//f7/yeOFlAiWY5cMeDMgqzxnmlhmErRMXKYlvjQ56K/MKCZ0CAuDIeYccLdMI01viUqHJsxNTV0g/h1w+gRa5Ou0d+KzDDN1S7JYRj/nl10uFSprMpG4+iZOsODEoduGkqwsCT3ZmalHuuYblPN1Y7bwlXfNNJXIqm06C05i6LG4eeVat1fyrDY0PmUzjA7VwFgeqnBotLixvV+97yQpFKX8sU0WU1U7hzOc+CMFEZ8pcomsw6DKiQ2kCsyUBS/GtaX2Nsve4yf/Pl3AzA7O8NO1aNp1aucOy0bPMN/jJe9RZ63L33kTr6Tjag0y0+875c49qQ8C48dmKLdkGP80z/Jc/nmt93EgWNCC9q2cyeH75YCYbPZ4LmaSaYByURIsThITbMF584vsEEBC51mDbcrfrgwJomFYt9Gvn63FM77Sn2UU3Kvpufm6OhiHMXzvuutUmoTqdXikGGR0DXoM1/5NEVDfuP5++WZnV7osWFUk5DpkBmlCM6emWNICzbbBmSuGWEvlgEYzmcoKb2rv2CyXROgD2oizLQdFrW75nA6xey8nO9spcWixvGjqr3p+gFJlcTJmhYplYTYO97HwdMSu4caGywHAcM5GecERvz42RmbrCZsRvV6Xc+npokKPwOGFjT7kkmePCHHbXdd3v6Tojv58+/+HQBu2bO6h/vwB/+SnibbDhx4kIcfkQJhR8fqomtH2LhFkkKnTrsUC/KQbtuyjde+WhIZv/KL3+RCWhD69LpNgrWpDcuJ3YlpmvT1yVwZ3yz7kbnZKXpTUtQM8DENuce5XBJDO6oWyyUAKktV2tq5MJXL0tU1M5FKxkl+O2exZ4vE04ODch5Pnq2wYUzm84aBJOfVf8xVZhnWBOiWsnzHd3ux1vOG/jJ7tYi9uWDRpxT9h3Sf0EtaLKp8yGAyzcKirH/nFxss635uXNeMnhegOTyKlkNCdVb3j/fxkUnV5vKidS6kqFI2idAkKko4aZu0Fu7TKuXzzc98mkC17lK5Ik8dkYSxaSTQacULn/9SCoacx2lfJEVSyTSPP/wIAB/44w/Qa2r8tHKMgwckjn/3+0Qm6S0/dT0HD8r8mti0GbMhuZSnjn0z1tb7l2ydurhu67Zu67Zu67Zu67Zu67Zu67Zu67Zu67Zu/ynsexDRZRCaFo1mk5i6Y6XAUiFjA/IKC25UtROWYRNqptywHaVmIILPlnaaioQL/Ra20rX8jkdWoXxbtm0CR+kRLQNfYfWVuhyrnTEZK8rttMyQTSOScTy3UIurnp6K0fUMn2JCsqHFTJpzJRWTcwMmtNpwZVOy4tWhPBWtQPu+R1f/rrY95jQjv2tEztFoQEHhvHbKwNaq1KwNIwqlnFM6mN9p0erJtY9tupjnXS+ik7WlMwwNbAZAGzwwXTvP618adUnscGhSUFjJbJmL9kuHjZKKwP7f2vaS/PvIkEBY3/dnn6Cr8NFPf/ATeEpXKJdMfuGn3/lvOva/xUwT0gmL7ds3cuykdlpst+MKgB8apBUumsnLmK5UO5ia1S6XC9Srgmgg9DG1c6GR0GpJMyCMuooFBpHssZHKYChy0EmBlZRr7/Qk673gd3nlXqnuVesd+pU6MVlv0FN+n2em4/f37xC0VRg2mFFK69cmH2O7NmZIfF06yZ1LGQwU5Try6TStic0ApIMKC4dkzm1RwUvXDbEUrk3QZWpGUC0tr8iliu564qig8CzDpG+L0FKcXJOqdi5Jm2l2btFyq6sdINsuCa0W2IFHT6u8ppGkrDS+6699GUeOiuDzQRVrzWYyJMZkUi5Vlrhop/xeyu7jedcKCmdhQVATo+P9nJ9WpJRhxdW9bLKf8dEtnH/q6aKsF8TCgNDvYCYSBFEJwQ/ZtHUzAJOTk0qjJu5wJz5MRbUt8W0AhpkmtCryEbeorxlEtYmQYBWBk7TAlHEuDKRwclLVicWRMwE7BrR7VLvFxj6pik5Vqxj6nDXUFwQWjKv/LOaznKrIvFxstBnTKuVWHa/jXoVNA3JurXaXbtSJ1vOZr4uv7BtUQeTQgnTUwSogqTS4U8tN+nQuzCkE27YMWkGE7oJEKqosWaS0unnqsMyN8ubtDGm1bev2fRQUxv/5z36KN73+Z/hudsX4bs62pJp97bWX8tfv/zv5jWSaXkeueWhYkHE/+Ib/h0RCngnHSmLqeGXSAwzq9c2f+64/9R8wA8OyCLwOKFLC90MsXbWHRjdy7tykvK6oXxGdl/XENvNxtzK7kMJKKWVNO8F1ZsGt6vdMA0NRCIbtxHMrkbKwlHpf66hoatJh14icT7PtUs6Lb5qu1TAU4RLNBdd3KauA6mAxy3xPzu0bSy02ZcRHblH624nQZ1QRMI12j67SZPyyycxpmU8pXce6JngRRckNYij7QqcbhQI0dT0xrSQTO8RXnDxxLK4y+t2QblWOm1Zx2HqnR7GoVe+uR1vpHW3XY+qsoGje+c4foKPoxD/6b38CwI/99zfTC+TaxiZGOHK/VEhL5QJHj4rfjESFP/7B05T71bev1HAc+b2x4X6mT0+x2pnuQlpIGIYYpolpRdQeP6ZjhYYhne4AFPEUeK1VamPCxm0qhc4OcbW5ha+NKd70w2/nta8Xsf0Txw+TSMo1/dq7f4r77hdB4z/64B+yZ4s2HnDle08tHGH7mIy5H4QUtJNizw0I1Tet1DU4swzKur6O9OU4OC1oq0LHZUyr6VlVoD5uWuzdIJX7ZrNHTxGv1Z7HnPqmCM3quQGh+iMDQV4DHJ2rUFI0jq8kgJVqB0ubeVimKfwnwAhMUmsa1ACMbNxOsSyIwaAN+/dJM55HH/02d3z5cwD86Dt/9VkjdezM47SiBizmCu/6Keli5foejs6NJx4X6YSf+4n3c+jAt+SLQYj0rJYumn7UJfc5sYh6qPRFWP0XEYCOIaQxhTFcM7W7GJEwvW0TeNYzjrEWabraxSwkiBuaJXM2TlrGcqUu11pzXG4dkbWw2uqR0AYKPd/H0BNpK1qi5/lMFMR3lbNJTi8JW8LqmYyo3ERKxeOPNJrsm5D51G716Ol8q/oe51TAeViZGx3fx1TkRb9tktH47+xKiz5dy5p6Lq2ut+qPQ+mgDeB1QpaVkvO5T0kH09zQODllCjz52Gk6eg4Dw6O899VvA+Bdv/6z/NcfEzH6PeMSo/3Ye3+Mm6+7BYC3vOlHeNfX/jsAV191IzPn5Hn6wmekc6eDx9e/JUipndu3x/sq00ix86J9TB7/BhfabDvB0NA46XQB1xWWTqfdoqC+3sClo7GHq/ftsccPkMtJHGvi0VSElGmGJOSRw63pnpAEwRoZCE+n2KVXXIyrNOTJc6cY3CJjEzFoWgWfwYw8/61Wh2zkm/yVmHRbV0SP5RtMFOR8S/k0DywrdbFrMqFxTUobd5xpJtg2JHFTs92Lx7HiupxVimYUV3TCEEvXppJtklF2yemFKv06x6qqidPquswrIi6XTODqGpxN2KR1HQsUSdqQ/5HXugG3vUr2f37bx3pKqOZ7rrqRRw9K7D1zXta+Q4Uijh7rdW/4AX73wJ8C8PgTR+gognb/pVcBcMn2S/inT4tETaflxdTs5aUGv/Vbv8dzYqH0e0qk0nS7FXkt8EAbl/hej6p29irUZYyWlqdJZmUu1aszOPqMNnoeO7Uxk6no3/LIFh57WGLPffuv5J0/Lc/ah/7ig8yqfMxybZZEWsZ8WankFbPHC5XxUmv3yCTkfHpeNSZ3tJXaSACjOveL2QRPzCtKqxly/Sa590M6jgebMF6Uz7Y7PTqa26iFHqerskYPDyf1+D6JvFyHY5ukdR07NV+jX9lKVZ0zLddfjb/MWF2BDCZZHf+movmsjENK7+/Rg4d444+9C4C7vv51Qu0CakfyLMA375CGKT/6ip/gqcknANi6a5QD31K0q+dx6eXCCtu3dz8AH/ituzh1QvzSS1/yav7+z4RS67ktjCie+RfCpnVE17qt27qt27qt27qt27qt27qt27qt27qt27r9pzAjFo/8HjHDsEMoAR5R9Qo7haEiz6EfxFWRqB2253WJNAAwwFBuqpk0mBB5Fy6ekMpOaE1Q1zapJ6ZmeMX1JQBOnvGwVQel0l3VYprISxVnIehSGpfzKftJLBXaGE+n+e13vAyAn/9L0b46N7/MSF6qAyfbTW7ZoIKZVhDpb3JDn/zuI40up1Un4NDUAl1NWzbaPiVF9JQ1y3/Vxn60oyiFRCauXEwuL5DVlvOhLdeZyhdZUDHXZDbLrVdItfGKG17MhsJeObeTX5f7lM6wdVyqsivMYSNZ4TzleFxaNMk8A9W1iM/DD0tF4CVXXsN3ssfOyvV89ctfZNMmQXf92q/+KmdVGH7Tpq2cOCb8abd9+JEwDK/8jgf6d5qTyIb9w3vIZNIMDcs4PPTIE4SuZNFNO0UiLRXCfuV2L61UY2FBt1sjp+3GQ7NHJymVwGuuktbH9bpPty1z4eTcIqmcXO943wCbExUA5lsuKUWN9alQ4rLnkSzJ31snSnElz1n2ualfjvcPJ+UcSfQoK/f+yeUW77jtFj13h5byyZ1lEV8/1XJpK2f73seP09Gq6tL5HgXl/w8PyLns21zG1srqxduHaerc+9bDp1hclOtMRqnyZJZ+FRufPrXIgLawNzIJNqoodF3n8diOLcxpsdfvzaJgIraMX0yfIswSmQQf++Qn5F6NC7d98+bNfPVrgkwzDYsXXitacY6Z5R8+Kpo3FRUrXlyai2SrCMMEEcQqlcyxdcuVHH/i67SayxdUDccwnBBrACuZx/ekamSEIfmczJ96o74q1qsIUxHTjcR2A8hI5cPMNMio6udFu0TnoNvsUVUdnOlWm/6SVG8K6Sw3auXp7OJyrF00oXoNk5UGoaWc/2KetCKoypbJvgGphnzxuOoapiCh5Zv5tsdNI4I8qXV7eIpA3KlCmCc6PnOqW/H4uUW6WiHsuAElR+ZYQSfI1v4CfdpoY0tfiYorgz7XqOBFgvb672LTw0pG98ki48r9qRgBE0m5JjvSjiPktje/BYBTRx8jlZG59tY3v4Oxgf3PGqPI7j75BDdsF+f/2Nwk110sujhutxtrF3RiTasEjlb0up1WrNewd9d+VpYFNXTk4JcuuG8yrFRo5yYE/ahj2u35JFUXMZUI6HRVF2RYxmly8gyGIggM28AuKpJxKIh1Sm67RJ6nJ6aWifRzZ2tt7KQeq+CwV7XHKp0OXa0SjqZkTM83WqiMBeN9WRzVUEtisHerlNMPnpTKvJeEpCvjOl3rcctm+e1Gr4edlPNRGQsqlsOUVlsPnl6IK4odP2AgreuW6sTsnujH0vcHc1mq6kTaQYfKSiT6LQde6fRwdP1zLItLtojOzXx9DndFqrA5RSCt9HpMKyJuqJDFV/jI1ftfwEpTPvOSl72aJ49pC/teXQcr4KN/95eAIH1OP6k6ToHLuTNSIc/mSwDcdPPLWFoSdOvBRx5kfEL0MTdvGOebt98NLBKG7gX2TXaIVQJCTEWQhZ4f+yPTya6iuyLtP78XN0kxkhaGo7pthYDCiPivPeofGm2oKVKqYxuMD0f6OEk26Fypdrso4I8Bjc1m2m1C1TDcMV7G1rjJCaCQl2OcmZV7bKRNLNXlmq24vP4KQemttNvUFQFV1vVoPjRjofhHn5qjp4i/RtejX9fzYlpOZkN/gYGczJXNfWUa2mr+qfOLtONmHWIztQ6hIh+Hh3M4qtXpJUz8Bfk9R/UgG77HDa/+AblP28bYu198zPahy+JxWaTOgw9LU4wzU4KaGBqb4Hd+/WcB2LRpC3d8/jAA9VqLq64RBP2jD4pGZhhYBIGgBtx2GCN7E+kyPdXDwz164X2TmQixB6SZSoT6e9qMXVtDV7Sc5WOYUdm9g6kI39C3KWyV896/TWLKTtej3pL7PNNuUC7J+7kEbNPnutFt09Y5W7ZkPi102gSKRt3cVyCvcZUV+PT1yd9TMxIjNI0AW9e6SjPgVZdI/FnptPH1GKbq3Kx4Jj099YdPT8domVrHo1/1JMuK/tkyUGI4K8/YtoE+Guo/T08tUNOmGG1FDVZ6Hh31XeVyDrOja+SuTbzxJdLI6eMfEb9S3rCdAUU4NFfO0VO/Gropfu5dfxjf7amWxHp33X0XAG960Zv42O0fBaCvb5QvfUFi8sXZc9zxddFIsnXPVKvVaDRlzr/1rT/E3/3NXwEw0L8BwxxgafZh3G7tgvom20mFufJmioUCOY2VFhYWcVWHyHEcaqqPtnmbxEKu28JRlMjK8jyVloypkQy5+FKZC6OKdJlf6VCpyP2ebtQZGpJ7PFxIM+7LdVc7Lp76qZLGigvdbtyAY+NAgZGyook7LkZKx29J15qUCeqbWs2Q6zcIi6He62KpflHUBGSxB65qIR06t4CrcVO94zGo2pY5XRs39RcYy8m6u7m/RF3XvOmZZapRI4wIEdb1qOlrA31Z6uqPiv1phvQZNXQ9q7ouT7XFr27M5ymPih7zL/3KH3B0WpA1c0uLvOKFokuZ1eYLAE/OC5r0+LHH+LVf+bCcz7nTcUMSX+9pqW8Tr3yFNN2oVRs8elD03mamz+MpQq+x8ugF9U2GlQjt1DCOk6DT0sZNXpcIBl8aGCCt9zhqRNFurmAo+tQ1W5iKdBrc1M/4uBxjrCQsiIWKz8i4NAY7cPwI2Yx8zzE67EnLZ2rNJi1FXA3qWjvX6sR+aVO5QCmtCDPfxcjJ77U1bmkbBpb6l2Yz4PrNssYGph/rd4ahrLULPQND46+HJqfpqV+ptT0GVaO4pMi/HUNlxlR/clN/mbp+dmZ6marqpEZo18W2R1sRiIZp4XiRBpdDQU/CVIdfc13KuwU9euXWLTx2Qtaxq697CeUt8vrzr3xFPEZR36avPvAFPvO5jwGQzmT4zN8+AMD83CxbtkgOYs/FNwJwzTVXMzs9CcDo0Ebe+95f1xsRxGhNv/n4d51L34PURROsJJAEPxKUdgl7UcKuR6CdAINYwNIgVgp1kkRUIXvAw9duFGZOP9s4Tzohk/elV5a5QgXXhgYrPLEkEypfTNNSMcmeUpC6HZfmgg582I5/7jwNfvB9MphhSSbLwECeoYQKCJJgqSsPnGmYsaDtow2h0R1xfXzdjLQ6ATmlebhAVbu1XHGxONWNyRQV3dAGoUdTF1WrDcVRFWbeIsK4czPnKGXkYfM8i5QuCmOFAe64SxbW59/49mfd/Z7fpmwNP+v1Zya5AAawuPHKS571egM4clwWpslJFcY+ew5Xha1/6l0/y7e+IYHcVVdeyT13i+j4Z//p8LOO9R81x7EZGRlidHSYgo71A/e3yBflno6NDbK0JOfap7Saubk5Qg0ui6U8tbq8nx/J4YUVuUZ9f+dwnuUVWVBu3r+VttJpcqHHVFMc0daBNCl1iNqsh2q1TlIpYtPLdRJKkTDbFks67b20fNjvmaS1g1TeyDC1oEk4p8nynCxa2wqy0Vvx8mQtGatksp+sOon8BoOeJh82DMlxLx8p07Bknp84u8jsolxTDpumzkNHBYrTyRBPu9n4PY+ZuiS1ykaaotKGSptlgVhYnmajCvM+eboRbyYePfo49UPSBSiVLfNipdMudeRZ+KE3/Cgl3SweOvgIT81Ih8XHD9Q4elwW30xWNsSW1UdCk9/tVgvLlASI20tx+PDRuKvJBTXDFNpi0IqpX5YBtVq0GTbAqz/jSxEFRL6Pdq2z0xaGToam0oQu2dFHrSnP96smttCvfsPwDU5qY4JNAyla+pmMJkQIa3HC8uxyFVuT9NlEktmq0jlUSNVqwcaSdvzxYLomv93oeRj6vTkNCk4tdzDcqONLQEppmQHQ1oBs+4jMtb3D+bgTVbXTibvDht0w7oLT0ESqGYT0avL32MRmTp4SeuzWjWVC3RQ0dfPUl0ty6rBsFLfsex4DfTLHRtckuc40KmzKlZ5212/YfjH3n5DusZ/97Of4g7/6RQDe+67/xcqSNiaJNo2pAlu2bAJgYmKEufOykchmi8ycfw66d6oZhtDHPS+Muy4mE10IJRlUrRvs2bUbgOk5oXGFfgszpR29UhaGBtl2wkPzFFwxoI0gVgK8lNzPW/cM4GrSrA+TRQ1yso4kLgFsnacGIU5Ex5mrxVvatJOg+aRu5JQyabRDtqo49HKjyslZSagaCYu0UtMSSgs72W7jKdS95wakNDwxHWjquG9Sav62fAZ0M+D1QjrVqNAVYmgg1tZgM2ElqGoXLDA44kuSasuOEVI5KUhMzUpizjdDbrhEgisrXySrPJihgY3c/xnpDuh1LbbskEBscFCC2y9/6bP82Nt/CoBjx47z1rfIhuzn3/V+nJScc7Mu5/jlL3yOsnYY3bRlJxfvlTV5cXFBqHD+c6BGb5iYToa1tEjDseOGFmHQxtJiSZiQc/O7bfDVX1m5OFme7u+RUZHeTFnGKO+4FLU72IaRDDtK2qCl1WNGn/W+nM1SVbtb6jn4XR9bk+Hnl+uxuHHadig3NPmosZbZ9blsQu53pbHEGV1vZhdbpHStdLI6Lxe6WFrpcANIqr/wDGhqF+dNw/J87xspxEn8ptuNC50Zw8LQbn7zTaUoYcSdr6fPNhgel2Nk0wZt3SgbmsChCnffJbHfNTf8JVmVPnjg+D2k80P6vRwvu1KExB9WseJ77v0aL3v56wFYXpxhy2Wytp18NGT6rKznPe0iFrgmqazEEa7RiQWx3V6FpBbHus8Rg9EwDG3sFFWUZFMU2WoNXeVBgh5mUumKlkOgHOLkSJLQkM/M1mW92eAY5DWZcP3Wfmpa7Mh33KivDEUnFVMILd2grbSNuGHLuYUatsZNuVQipsDWvIiOF7JnSJ5N121xfFaoi4EBlh6jpOO/XPdAfWK3CzlHN6q2RVsLIrs0EXL5WCl+yirdLi1NHCVDM27SU1N/Zodg6zydnany8z/z3+Q3eit8SbsuvuIHxa98/B//N8fnJBa65aWvpZAV3/Wim2/lI5+ThMM119zIjiHxJ5fsuzQeize/6IcAeODMEa64VhJ6f/S+LzM3rfRuVB4gncBQv/noIwcJA4mbgiCPGTb/ZX7Qv9N8P6BRb9LruasC8l4HV8ep3qiS0AJgtLHq9lwmJ4VCFvr1uANvedwiDOWcsxpTD2UM+lXO49bhCUbtqFOsF3f5Hgo8Gpp80iFnZbqLNnBk8lyFiiYDEqZNTudVTZPiXsfnUhXKP+e3Oa0F1yAES+UW+vQc6/UeUda02wvIadLft0zq6pt2jZYAuGS0ECfpK91OvIaYAfEaHHVadEwDR9e+qakaKS0KlvozLM1KXJnQhI/tGIwkxc/nJrZw821CO//1P/h1fv+PRAC81mo+LcEV2Z6hHYA8Do9+W6iJpYlNuJo4mVDK7MJCh4MHxXf1eh3OTkrBx/M6OIniMw97QcyxEwyObGB+bp6M+sVWK8RSMIjjmCwsyp7TtlUqw7Hp6l4hmy6S75O1a3i0i6V+ydTEUp/t05oW2ZMXbs3QC8QPFLoZuppEzOeSdALtgq0Jq0Rg4GlB5/xinVlL/Fw6YVNoyJjUdRx9Ai4bk3N4ym1wbkXGzrKteF8xqLFPs+GDNmjpdAMKSon0E6t+6XKNvy4ZLcZdGVe6XTqNqIN7sOqX9BmwCGO/VG12MHT97M+AZ0VSMxqDZ5MsaLOm6u69bLr0FgA27L6MvHZJ//vb/57LLxJK66NHRVS+12tw/fNuAmBqfobLXijXfM+XQ1ZW5P58/lOfBuD2L97Olq0Sg2/fti0GmhgYBMG/3iRjnbq4buu2buu2buu2buu2buu2buu2buu2buu2bv8p7HsQ0aUil4YDtlTT8NtgKKIoTMCaqpK85mFE4Aa/h6XoF7/qs32fIECuUGpDI5fmayr0OV+p8fgpyQWOlTNsVnRCp93j8RWpqtsqzFbIJMirGL0XmhQU8dKq+iwo2mI0LaXrqcVlTrQkm7xpY5ZZFbNs9nyyKjyYU/RDZz5gLqI5eSE1RZBtGSnGortVzTobSZOEUtWm6j1mF+UcEzmLfhXHn5k5I/8eP8ul10uG1bcMzi/J6/P1c1x2pVS056uCpBgqbo1vZbtRZC4hIt8D6Txff0Cgzy9+3kv4TpYl86zXckCjJVnqZlPO96Mf/TgvfcmLARHK6x/Q6ucDD3H48OPf8dgXwlLpFHv27qDTbtNWMcWt27awuCAIiU6nRzoatymhenpeF0vh6r1ul6hiWZtfYeAymS83KY01nUxw6Ijcr+nlJQoKWe0vJdgwKPNpqJzk0HQFgAVtFpBKJDA7ml3PGAyoiGAtcJlTkc0JFTesegGzSlMYStmcOisok45vUu6TyolTlGz4iGkxWZPfGh0aZaUqVcxNAw6BIkXaCn/OFmxS2kp91uzSVcSdaRqU++QZioSNx1JJTp6X6mAml8Tqk/NNWRaLy1ql1Sr2lu17+eRnhIK479IbGd8h1bpOt015oATAuZOzTM8JffXWW18IQKtRo1yQrH8YWtx2/csBOHbkE0woRHagLEi8pJPn3m8pAjDM41uRyLvDIw/ezZvfKFX0C2sq+Exc48YLQ6yoYtdtskpTjMrsJqg/Agdsreo0fTITMr6v2ivXXCrm+OTDMgdnjxyloG2r+9NJhhQWU3IcHm0KeqWu4zU+mGNRfUHgQVEpqoHrs6wovqL6q9AOObGolUvPYEaRiW3XJxWJUCo0KFjpcV6rSZZl0dAq5bbRAlq8imH12bSNo1W1s50OKxVtimGFMRojQoxt7ctSHBek0vNf/Co2bhGU1gf/7A+ZnxI/VSzK83fpTbdy74NSYXv13lvZuV0QpCt06EPuyVo0V1T7MYFrdggd+9D2A3zusyLGu2XfRirfFoi9oZXYgcES11wlvnJ+YZZmU3xXtZqm5zs8VxaGIT3XxyCko4KzhmljRYCfwOfok1IdC7R1M0ZA1FfcTBiYWrUMw5BL+sX3bM0qKnjvZv7x21IVn280KSusvZpPMqH0LtOzOKiIVEef9f5sipYKljsmZI1I3DxgWde6gaycj2/7HDqlIs++QVWpQF4rJKtC32Wl4IdLLmebuq5aNm2lgmwayMeV0aixRyplkFKK6WSzTU/Pp+161CJh/qgKmQS/o/TKUoFQG9CcP3eGhALpPa2ad1Nw9pwiKPdfyeCQ+JOh4RI///8IXP7rX/gWxbxU7wd1bvm+wZEnxN/8/n/7E6Ia4t/97Vc4oH6op9DsQnmYTE7GIpfP8IUvijir23GwE0W8zjIX3gydF2vQYmFIpJVgGCaBp6QC9UdmKk2QUGpO24tpL+2axRXbxWe/YEwF30ODz94nEgP1mS6zSmkuZRJMaGXd6MFJpYtkFG3UX0zT6cjY2UZIuSjzxjQtVpSmndVzNE04cEwaDBUyDvMrcqyuG5BMRmhD+WwxNDhWkXF0LCtuvLNjrBgBfuLnpJCxY+TPdK1LRavJnSCgox4j8l07h/PMt5UyPmJT19buRmCR0TU6p76phsfcvIz5Zz/zJX70vwgyx0n2c14RhM/bvyMejivHxM+dHj4Wi/s+evA+Ltp1hXzAm6MhXyOdkfvUrDfoNCMoWYqI2xKGNr3guWhqsMYMS+nQq3MqjJqsrFFEiZruYHqEkZ6AYcffcxswrHSy122WNS9d6uPT98h8Wmy24jXLKyQZT4pvSloWB5cFOZPQtWmgL0V1RdFuYUBRUYq4QUxvzifUXxFw8rz6mwDqtszDjhdQ0t/zI/HmusvxhsbTtk1D182LR8uY6pAdjTEKKZuUrqdTtTYVnYduENDxIz68fGdbf5ZFV35ry559PPL4QQCuvuIatu8RFo6ja3vbTPC6N8gcetFNr+LEjKD7Gr7Lxz8h0g1vedWP8cATDwOw7+Jnsyk2jgySNASNOrx5iMMPyXrqq29quy1QaZInnjjG0LBQ2oqFLKaZo7Z8/FnH/I+bSWgk6fUCpqYk5hseLlOrSwyey/dTb8k9rNe0odHKDLZSRb3OquRLbTYgKUA3dmhTMbNk8YVHBQk3X2tQUt8zVsowoAgYt+VSUf8XjV1ff4q6rmd+zmRQY/d2y6Ol8zynlEDbtjk1JXFBMjRp6J6g467OpbCs51P3eKq1di7Jc3rRaClySUSwxWLSwU7J35MrbZbVNwWGiIsDeIqM3FzOMKnoazNt4+uztrjcZtOY3JSKNlxYCbqcX5L3j84ex0gKzfXQ8aO87ScF/fdP//tL/MnfvB+An/2RnwPg20fu4aa9QsHeP77qu666/kru/9ZBAM6cmZR75jsMDco6sbzkse8SQdk/9NCjuLrOX2jzPJfF+Tk8140b9JhWMkZCrSwuUu6LEObaRMwKYshPz3Vp69g8daLFC6+Q/MDNg8p+2r6Bv/2aUH9nKzUGdW3zCkkGtVlByjA5oiyOCHU30JdiWdfEbuhTVmmPIIBGN0LPyyS2sTlxThF4ocFSW+ag5ZgUdS8RaCxn1Xsca8pvJWwnRopeNtqHpWtaqHu4QsIiq8yAM9UWSxrXhUgDDTmw/DOeTXNWEf7pjImn8Ve745PU+WhFdGe3y5Inx73+ljfRUVRisX+I02cll/KDL/rBeIyePC3PeD5f4PSk+J+J4Y2sbBR/dW7HEzx2p/gZU5lintfm+DGJo5YWF8hmZQ1oVGoSGPwrto7oWrd1W7d1W7d1W7d1W7d1W7d1W7d1W7d1W7f/FPY9iOhCyf/uaitiKxFXJsEGFX9Eq8dYZqyZhemrOD0QBtx7n6AfdmqL3yeqLQa1WuZYBiNlrTAGASN5yaY+slKnWJSM6ryKEeYyTlx1Hko5BJpNd/IWo9quvB4Jm/agMKztPLsuTWX0G5hktM1yVkXuX7TZoNQnf9/T6aDFT0w/oD+nrZFzor9VW1ig2pTsb2lkO8eWDwIwmC3z8MEjAGiHea669mr6VXB44dwprIRk3g9863OUd14KwHW7Xv2sW7+5uCpAf7J6mtGxjc/6zFqrIBW3Equc7AUgoe1TR8d0DEOHv/2rvwZgYuMGdu6W7O7GDcPkC/3/4m/8RywIfFqtBplMjvvuE+TYzPQC114nvz8/X+fUpGT+oxarBD5GT7L+LbeHqQgXwwipHZdHqjIhN/ruqROUijLW6YzFhg1y3a7rskFRX+drbdKxWGSkc2QxslHnYcsnVO2SQsIiq+DFJ48v6HeMVZHfvhyXXLQZgAfuuw/HEUSC5VUA6DM7bByWY92/XKGvICUk23IxmnId27Qt+8NHF1ma14p1QtBkALl0klCrmBl9rurdHlsH5MTCjkE7Um7F4MSSiBPOt6SqttjwaGnparn7FKefkGfouutuZUn56I1OldFNogU3OSPZ/XZ3jjPKBR/o7+fxozKnZ89X4vbSmzeKPsXCXJ2NW0Qb7NyZaWJtmhD+9qP/zOJSpNlzgS0MwLQx1OGEhlSWAQw7hWnIvPDdNdgi1b7B6mGl5DkxrC4rZ+Wazm6Tc31oZo6xIalkZJIWY0X5u9vpMaoojMmVFuWSzJuZJRm7mckum3Wu5TyHrqI+ez5kdd7VFSXo2dDVCqNrm6vomMCIK9Y5bb98w65+yiX5/n2VFoGiCQI/ZOuQ+IlAkUg912R+QcZ2tt5mui3Xhg1JFXrfmBcflM4XGFdE5xf/z59RKMp87EtkGLvpVr1V8v3Dx47xF38saKx//MY/MDkzCcDzb1wVv6yAYrtW/31ycZITJ6RC1Fce5tQZQQ8sTWZX9ffKopmTwOf8tCBJps/P03UjMVOLXjdWrH8OLCQMuoQ4GCoKnkjYJFR7pNmoY+oSHkRCjkYiXusCF+y8IoMbPvc1xBdfMSDXctfMIhv7ZA0xCZnok/nU7HRJaGnvfLtNXrUcF6vyG9NLbbZvlDVpwsjQVtX+Zi8goWvySkXGx7AFIQGQzdpM6zEIDfrUoeYG5Xdv2VnkZXkZ67uXagTqC/EC9uyUNc5U3Ra7aTA/L9Xt6eUay4roCgJAq/Sbh8cBWKpWKOjzluu51GsqmmvZTJqKoNVq6spswN5L5XycQhdHtageO/UY+aQgUuvdFZYqU3pqUhV98W0vibUivvHwV3nhldLc5fTJRTo9+T0U3dyoN5iYEKTE8aOnCTwZw0wuS7PSXStudAEthDDAMCx8T8cmDCV2QsBNoSLhDY2bfMOHlr5vWpgpvQ4/yYPHZMz3OaJ3crjlsWlEKuUp02CDoo0rjRYJ1Ws7226TVd+xsiwx2FKtx/OuEcRqPjBxVWu10fAYVeRFTUWFrYRFrk/OMQxgriPXYWJiqDu5eEB8yPbdOS7zJW54dLlKQv2j5RkMaEXf1nnrdQ0WtRX7dKXBOUV2h6GBk5H53K+i5m7oYesDNmhYFE05x8qyS3OjfLbXlmO1uiHpvCCpp+ef4tyCVK+vvPRq8oPi5/vMCA8ODUX5bty4lfkFWdtf88q3ceyErHOf+Mi3CDV07bWi9TW1GgeHEK9zhs9zMYtWzYibXoRrkWPh6vurrynC1AoJFDkZBj0MnXthz2V+Ti7s3JgioU4vM1ES35S2TTao/lW11UZlQZlqtiikZVwrVbl3ZytNtk6Ib8r7NhGAquOH5CJEss6nwCJueGGbJi1taGBixqSQi/IyV/YOZ7kW8U1PNhpxS/ucZZMvyO9lNLb2PZNzC+IXzlcazHcVNRoGNHVtjZBAy7U2OdUi6508THFQfNbciRP88E/9d72Bcu2/ufcSBguCovmF3/4JfvxHRFfyN//ofbzwxeJvful33sOv/pJ8L6PIrF/7s18iowLcJ08c40O//REAdmzcwcHhJwBYWYrOvYdlR6tkP+22jPHmTRs4ffpM3DjmQpphGiSTDp12K54rC0sVsBQZWa2QUH2rmfOT8iUbTCNCD5pYKv5vOQFPnhYk2DUFuceHKh6jqr9bTDps1LlU77TJq/D4fDKkXxE5S6rReW6xyfaN8r3hVAINf+l4PkVFEy9VFPGVCGNEumfauKqV5xthjJLZmZL5XNhWYHsg8+psp4ujmmEJw2DjiPisZFvuc+AZzCqKa2GlyUI3kvI2cPVhS+o9q9Q7bNA9XdJIUmlHDbNCzq4IkitCjC11DEJlpVx1xXYCQ66jf6xE25W/D00e4tv3fwOAak9it+uuvpHf+5vfA2Dvzn288jpptHbggcd51ateCcA/fvyTeoo23/zmHQAMDo7TX5aY7rLLL+ORhx7muTDLsimUSgRej0pFrrnY10ejrg1NjHYsTG+pwLqfNckldF/mexiG+P9yKcPAVtGQeuLE1wA4/vgCY6pnnbcdNpbk70anQ073RAudDmVdL+Z1fpypNtk2JnMpHyYII79ESFLj6qauRw0jiNF4rmHSCSLBews/atyimnUT+9Nc5sn6ebLaIKWxT9q2GBnQvUQU27smZxclBpxebrKijA+PkGYUo2kepdPtsamgNDjfoqXxUycIOd+VxTalbIGltsdf/vUXADh99gh33SOa2i95xasoD6zu3R89JzH2th2bAfjq1z5NISc+NekkmF4QBtnxw1NYKUXgWyX53U4jbmSytLRIqIhHJ5nGU72uf2m9+95MdJmWJLaiRJadYVXQefXP+Kn2umBHgxZihlGXmAaOdlv6psI4+x2bnEJe/U6XhkJXQ+DwlGw4HcOi1VJxOg3GDCtkQeljNkbcuSzlW3EnqYGyOmMjIKnOjS5kg1hdkz49t/Pq6Ep9Kc4vKxTbDylEcMRkkkwkTL+kcP6kxYnzSg1xT2NrVsxKG6ycEMz7piENRlMlAhW/27xlG4vzstI1OhXapx4B4H4NVq7Z9ZpnjwGwvbiFD3xFurJc8v17v+Nn1ia4IhsEBrfJw9kTzV7e/MNv5U9+93cAWFio8JKXyxtHjxym1+s+6xgXyjwPFpc9+oPaarLUsrlHaRiWadJTx29rt7p8Ph2/5rqh8MGAEBNDx+fTh2Su7NuSYky7EQb1LqNDMrd6ns10XZsQuLa0mQKy2j3IzBicVwrZSDYRJwyKaYdTSnXNqTMgtEioCO9wKkvlnEBDnaRBXu/d8VOzAOzZXuTsOe1QYwV4Ck/NlTNklY7YmFHKSNLhhApwJrEZ0rleNXxSKg5rRpDWEFJ67gXHw1Y6Uz1w2ZCQBfW8CsDPzLejBjVMn4eebl4PPHJv/FyFWASTKrL4pFxvwk5gK0WrPzdGtVqR861WcbuG3lf5zpOHnyJUSoBp2vFGxzBNPvLRf4gh3BfeQsCPNx9O4BPntLwaq9uPOGtKnKV0Q/yujI1ZCBnfIEHvXUqf3jTm0adjZHUCQk1CBZ7PGRXxtW0HXzdiJR0P3+lyXmHTGzJpAl3UMp7JkgY4+bT6Iz/EjFppdg0KKlLr5Q2GNNkyrxuF8b4UZ5Sa47sBed3EWgmblNLSsrqJLyVtjp+VceyFIQPaCaZmQ9aMkjFyjq99w49w1X7p0vrkrof4xpdF8LR/ZBhfKSNOSZKg27LbuPPA3XorTcr9khCZr81wTptxbBjZjBlTRsX2DGxmz8Dm+P/fcPMb5HhXXcOe3UIV2rRhOwCf/PSnmZy9HYDBYpnZafHntVINz13iuTIDA8tMEYR2nPzwvR71duQPQxLajRBvtUOOq1T3oOXjaafETL9NqAnOb9aizaZJIqsJND+MO5DZIUwva4Lbsem5crxclHhKh5xXepBTSsfdvzKeQcV4Ogy/F4akIqprKyAfJfQLNiO6Js9rd7VM0aS9rJSQIEFBg8VOwsONxjIdNZsIOVaTNS0IA8aVQvBkpUbBluDTdpQ2Hy7R1U1s2grYrF1cw0SDpDIoZppy/FxumP6iJLTClsWmyyRxbiQT+B3tntp+NO58mdEN1k03vJg+SgB8+FMf40c/IY1cqsvTMQXW1kRXEMBKRe+vYcRND1r1HmYiS9B7boD2YRCAZWLpfQ/8HtEuLAgCzMhfRDQGAqKIPCTAr6k/LQUQyPg/0NY5E9gUNQNheUbcETNwfWZV8TmbStDUuZnW2Ky/4HBuQZ77LYMpgighicG8dubK6aay1fXJ63w1XIOUrtdtM4zn0oLSHe2Miatiu7nAZKtudNvhqmB9QYWWyymLY+dkLrkEjChF6Uy7Q17vCZqgqYYBG6MO3W2XFb22TN4ELRTVtZPxylKPbihr8fW33MixE0IznluZ4dCjEmO97S3v4uJBKcgk1Nfu2HQRX/iCiPB+30t+gIGcbBA/YPwFbU1wGYbSff3VtQaSOKqk7bq9Na8/FxYSeL14cw+AacSdXcFapTHq/Qh8lLIo67ChNBzDDui1ZNw/e0SSFHuGsuSLWjjxDAxd6ywCppaVbpi0cXUzn9ZOb/25JHPapMnOJwh1HmZDmxWde1mdT14Itv5t+yZJjRE6DgzqZni2Kr/lZLOYdfmtPsMhr2L0HUIGo0JmTb5TTFkcOSVFPQ8YVImBk7UmThRjqq/1UzYJnbspMyTUAuGxYwf5/Gf+BoBXvuadAHS7qzT53//lP+YDH/2fAFx60T7e8vIfA+Do7AmWO7Kpf2xKKP0jI+OkVXj8Xf/lPbT1mT/4yGMQyly+8mqhST7w7bsJoiYgZpuxMVkDt2zdTEBAo3KQC20GASZtrrrqclZWJG5eqSzRVUqeY2dYnhWapqGJKStZxu9W9AghfkOuKUwGcWLpy7MSS5WdLIWi+oquT0djTMsMmdNY2kknaOueK6VEp8FCKp5LuZSJYiGYKKU4Pif3uKBxUycIsJXenAwtepp8crMm/TrmcxrvDwxn8HRPlzVMbE8+m84kKGpiPakxYdoyOKrnGIQhfUq7ne72sMOoa6lcsJeyQddoK/RI6rPYcj1y2iZ5UZ+jiy6+jhWlvLVaHV75Sumu2POXWVySZ/D3/uQ36bgy/5cXRUj+9m9+lp/5SWmY8MB9j3FKX/d7Lb765S/qeERN4HxcLQQuzi2Q1AJdrbGCqU2uLnTa1A8Cmo0O7eYKUYy9MjdFuV8SKgMDg9S0IZgVyXU0PZra2C60IKmJ5fHBTZw4KdIO/boOtD03nkudXoCnBTYjDJhVKr2dtOlqA5WMjsdgPs2cNjmxsw56+eQNi2Vd59KaiDdCE5TubXhG3PHbyxiU1UfNaU4hXSrQ031VwUnEjQ0sw6CoFEO7KzFgPmVy/LTsAwkNBtQvnW62cXSv78VFboMoj5wxg7iZlWkEDCqVel5bdv/Xn/xlto+IdMwjj93Li18iyc+u2+Xe+6S52IP3P8ZtLxJponvv/woAr3vNf+HJIwcBuGTX5WzdLDmEz/z1S+LUjlOK9nVhjF8KwzBuiuF6Hqa5Zg36LrZOXVy3dVu3dVu3dVu3dVu3dVu3dVu3dVu3dVu3/xT2PYjoCsHvCIorFhVdmxc2Vl+P8MdmGlMzoUHHJ4jgt4HNxlHJ3v7ImGQ3E1aSO7QN8c6swVGtFGQTJu2mphSTBigqwtVKe6IGLc2WtwZsPIVFrgQd0lrpbNbkdxOuwUBbzy1rshBBqZsB2hmXRc11P9joMK5VedOwmNP2sikrxNOW12WFPk7NVRkblMx1rdljRfOYbhMGlD7Z1DbsTx1/gl3arrPW7TJcFITVZG2FQO/Vph2Cqlr0lgmRSumgPf600RgYk2Pcc/oJsgqPrjWlInD11qtiqtB3M5UK5f3v+xH+/E/+BIBkMsHKsiAl0ukMP/fu9wDwupf+479ytH+7+b5LtbKI2/FpNgSem0la1KLWq76JqSiEkkLUl5eXCWNZ60AyzABeQEaF63/6GhmH8ZzDA44cq98wWFiRNHk5bdPQ6myz2cVOyFgp+IlyyuG8UjO6qYCsIgcWOz36VOx2SSs9mSQMaB/kcjLB6VkRLB8p5nDSCv/W6Xb3iTmGtOqbzxZYUbRGrQUN7Uc7NiDX8NSRBQqKXMiHYCmia6XRwVSaTtQO2gpDLMV29yyDstKd6g03FvTtLwvcttZMkdBmCw23xfi4VLTDloNhS5XgyksuZ8/OiwFIKpX4a9/4Ii2Fbj925CECS859eNTkxBGpcDxw731yXnYKPKUUZJJ4ep3Hjj7Mz/7Me/nGVw/xnJhhEQarc8ILiCsOASarNawIYeQTwduM5CqNMXQN+otyby8vyLlfnEtzp1I0BtM2NaX5FEybql7ffK2Np4iMjPqdUSvBaRV/bzguyYg2YbsktOKU0dfKFpi+nG816bPUjSrmVtxqe075II12lw2KfignU6yobyr0OzTUVwZaVavNNuLWx07HYyFqsBEEOFqlVeAPn/nHv+OqfUIdvv/AfVS1qhhWF9k0LoKmV914GwBnTi0x+ZRQjrdffBnnVOS5lJ+go7QyD5/EMxBd381++md/ksXp6NTED+7aeZizipLcs2c/AwNSdT78xHHguUObhiiQa01L9yAQoW6AhOOQVtSTp5T3eqNFoJ83bStGNXfqMDEgN/iHBtTrFof4RqsCQNmyWdTxy9kmCval6fZiH62dtBm0EpxVpEOt41HIKX2o1sXQuWMojbXPtnHUR3SsgJoeOG3aBEppm9fXOtU2W/RYmaTNgtLwnWyKZkur4kpZdXoexbyuLkshDX2GNo9uxNX1tFmVdcj0OmS1WuqG4Fal0p8ctEhq8xdbK5l79lzFQFnQD3fc9bWY0r9pwx5WTPnetdddy/33fBuAH3/7u+Q3QpcHzwhKp+cus9QVEdaBiZAzj0edcOQcU5kCybRA+m+66TY+/3lB7/hBncBdjlFUF9QMA9NOEoY+oZ6HCINrkwPLjueKEaFNTTumNoZuG0vXkjAw2VqWe/xqFY/PWhnuDFTM2bSY1+p1xnFY1HFs+i5JDc6sghw3T0BV52urG5BQlMK818XR+CWl8U3RsSkqraoWulTVD5UdJxaLn9V1aWmxwSZtiFBMpTirczvTl8FuqG9W5Gt1ukZJ17lk12VJ17G0bZHURy/yTUkP3Ia2nDdNtmyU+XF8skqzpWup+uJWPWTDFokD7n/gC/zcz/4RALu2XsTcvCB+Dh19nCeUgv/8G28B4Nv33M3zb5EGLPc9fB/nF2Qu7bx4A4e+LVTRMB4jYuFq6MZ034HBcVaUrvScSNKHoUC0rCRrSSOR2LxhhMSBuBGh0IzV+RT6MXrJCELS0Vo3LMi7W4cKPKDobMc0mK1pg5yESVcRLPVmLwI+oAArcrbD6Yrc/25vtdHJYqdHwozoMPJvn21i6boQOAZVjd/LZoKEoj1m1S80l9tsU+mSwDM4p+icdDnLSk3OvR3K71ane/Rn5FlpdnosexEazcDSfYOttE+/62NpfFjvhfSnxb/99m/+TygKmnS+KrHKsROzdHuypv3dJ/6WZEri7ZuvuSq+/5VGk90jQm/csF3QzdVKk8cOyzEM4O5DQke7+oZdNCry2w/ef68cwDYI1eMnEiFzszLfHjtkcvKp87iKhrqQZloW+WIJQo9sRsbfspMsr4j/3nfxbp48KOcZodXsfAYUed7uVGMkYegZbBqVZ+4HBjy9jgIPBbpvcgzm9DkdSDp0FDVW97oo2xANXclnUhxVVFjPBVPZGlOdNoNlGd+u+rnBVAJTUVw+UK3Lb4/mc2QU0TuvY9+p9dhU0gYdvkVF4+6mZbJUVRSbzqXkco+iCognXJdlRQJmkw5dRZuZOpe6TRcjrWhF02RQqWftZZ/5qt43fT+VsLnhossB+PDHPkRL92xve+07eOU7pFHTqdOnSSoq+iW3CUqn3mxz4NCDANx88838zd//OQA7LhnnwN2C7jIi1DYhXiC/53e7zM8L82j7jh0sLczG9+pCmm1ZDPQVmG5V8JXSZjkWY6PyLKTzORJK2axofIARkknJmt8OOvE8mJutMDgi+9DhjJzpmzf38S1leeWTJjN1+Xsw5dDTsak3ezH1UPsQkHccJtUvdRKQdmROzHa7JBXx5+gcLtoWtqZmmpZHU9e0opkgrUjTRWXitOYaXKLSRp12yKKeT7KUxVhSNKtSDCvTPUqaS+j2PCq6zjmGia8i9hEq0Q/CmEXghQZ9iqRu13x8HTVHBf7f8KofxUMQcbfd8pJ4j7YhP86oUrEffOiBuOHTdTeKv1pemaGpz3Ojtcinv/AXAIzvTHNWgHT09Su6PgxoqOQEoRk3OIka5Pxr9j2Y6AIwSFoB3SjXEJqKiwb8GjFQzYqoCyFBpO2RTcY6OW94y1vZvk+SOcnD0rXkcK1CU9kg57omKR3MjOmwrM4nbPUIdVJnFEo6XExhK3y60/Ixk1H3G2jY6rwUJj00no01jjYmEtRdGcBSOo2vFzU4JAHUhrEBZs/JA5nO2LxctXaWvARHJ2VyHT+nTsMMmW/LRm8sl2LHdoG8N5wOuZJ03bCUIpfMmSxpd6chO08yL8mGzqkzTGinvkP3STC/cfwSrLwkwgb7n57o+gHdcK61Lz0pOkqT1SnGi/L589Vz7C6Kntd0G8Y0oVPT77z3f/w1v/zfJaH11x/+G770eenKt33XLgqZZ3duvHAmXYPavRSBBj35YoZyvzqJTInQ0ATPSgUA0/Rxe5EQTkAYU2RdVubk9W5KFtu7Wg1WVOfFytn06de6zYCqcqd7XQ9X6UR92plleDBJ9Zy83254RGzbXCpBR4O70d0yvk4H0o4EPVvHNnK2ItpDF23ehavcelMdb3l0lBXVbto8nGZ/Xq4pkcpybEr+ntYuaakEnFtSp17I0tFF3TFWE1xEjtEIqSuHuhw4tHXDO5RNUVbK57m6HH9DyuaEbpRnZuqcPSqUjpuufwE7FL66ZWIn9WZEsVRYrWexOC9JhnKpyKHHtGPcuQBDk2khUVI4iTLtsG2TN77hjQC87MXfx/GnztBTvaILbmEIYQ/TlPMITRtDN659g6Nx58qWXlsYBKtf7QaYSukL/JDlJe0aNyGvPWoGLNZUgy+ZwV/SxLrt0FRamuF5cQcqNJfUn0uwogtZu+1jqW9KJGwiltSKfqU/mcTUQsDuVIbHda70ZVJYmpDKq37g5vFBlmZlPPJph5198oN9+QJzc/K9p85KoFDtdZnXDe9oNsWoahw+tdIkoZHl4NhmAK5/yWvJDIlf3rJtP3t2Pw+AW1/9Lp6ZKNw2BHemJLlZym7khudfs2YwxPd86ptf5dqbXwDAmPWdl7w3/tf/AsA9dz/B1s17APjt3/gDuY29Ob75DaFHnj9/ks06R2dnFlmYb3/H410YCwlDD0joxlFoHgldc1qtSrzF7Cr8PSTE0PUv6Pq4S9p5biDJXFO7FCql/WyjyYoGg44Phu7mW64fa8mEoQ+66UvrprGcdqgrhTQ0Qlr6dzJlx71EXZ2DvmVjasC0p5DlwJycT8FJUVZf19IN6NBAkaZqjdVbLleOyxo4MlpiXufhU2dkLTx+foWm0gNGkg7ppBxjem6Rps71zapxmExZ2GVZ0/KuR1r9+fR0hbJ2Ut6lHaQS3gzDo0JdfWFxE2nt5tyu1LjmMgnQ/vBPf4OdF+952n3/y7/+B269WfTj8oUiS1NyvnOnIaebmk5ddQ1zWS7aK+vtIw/fxfiYBOGnT7dWi3DPkYWBH88lCLGiDaJhxlToKElvmTa+dhjFtlcTrp7PUwtKK98hCbtj3R51paoVPING5Nd8M9buCz2PTiTpoPOjlEyQUZ3ITtON1QOyhQQtTeTXtAhUSji01AftKGR4TPVRh9MZbKXKjmnyc9umEabOiM5VMZ1i3JN5t2mon7oWC44pnf/kUo159avD2SQp3UDnk1acw1mMkqdGECdPhp0EES99oJAgpTGmo0WcgWSCs4syD2689lXcfJlsIIt2hv/n+0Vf6XMP3MPp87L+FZEuwpX5eTaPTADw/OffyK//1lcBOHFoNi42+Z1VDcw40RWahIHGKkuVNemn58pCQq+1ygsJzJguGeISUZii5Jdp2gT6vBiWLa0OgaDXob8omnWjORmHg402dU2Aly2Dls4nx3GIHxHfx9D4Ixr/wVwyTqZ3ez7KBiWdSuBqnFbVOWY4VhwXXVRKc0Snen82RVJj9VGVMdm+cZjZ8zqfynkmijKuY/39LC/I36fOygEq7TZzdZWdyCRIRRSiMJagAp3T2VKWcqRz22iwYZP4hV97z4+T6peY/fjUJACbNl1M9VrxMe/5md/kPqUF7d6+n0pb4olrtl/KM22of5QdG+SepLD5qw99GICnjqyQVLmBqHNZOuXgaTHBMGx8X4ut3Qq91mIs03EhLfB96rUKT53yGR+Tje2pk0fwNWk7dS7J4orucTRJ3+v0SEbSHXYiLhCaDpxVWQpvq6z/p3seLU2q5g2Hjh6jE4b0/Ii67WNFnbnVNw3nk1S6mrBseVg5ebYKuRQ9nUvJiMZWD2Pww4ZEgor+HbhgqjzO2IAca9uGERbmJG4q5ZL05yUW3tBfpqrxxJkpSQBMdbosaPJiKOuQ17lUqffiuDjQBJyTteLu6+PJFE191kpZm6TSI2u6ltfPHOac+pI/+72PcfUlEjedmZ/m8x+6E4Bf/J1f5P5HJSn6uS9IkuJH3vx29u6QAvS9993JXd+S4s6j95/BiAEn4oMNwyDUvXY6laWr2k6PPfY4/pq490Ka5/VYmJ/CD7xYO6/bdTk9KTrBr3vD6zlx7EkAsukSAJ1Oi/qCPD/DmwdYactzft0lN1HtioRN1lWd3Eo7jrUzOBFTlHYY4Opc8n0/Thg5er+HsklaWoDuuh6uJgNz6SRR6riihT/DsdA8GDuKaY4poKUvk4yPl9MC066JEWZmZb5ni2myebnHG/vKtHV9nDwl597odFlQeZDhbJJCXo611OzhP2MuuSZ4urYVMWnofjefNnF0bxctOx//8C8z2ZE4KZPu4w3f9+Z4PHYPSlyVuWkklom6627RO9uydRuX7r0MgCOPP8SXvvAlAM4eaRFt3hz1T6VSP00tVomkQtyeFFNj+n8pclqnLq7buq3buq3buq3buq3buq3buq3buq3buq3bfwr7HkR0hYBLt2esUhbdDqs5O4MIjm9pfdlJpen6Ua3ZJtQK4xMHH2Wm8hAAXke6KG3qL7LFioQLezQ1C9tqdtCkJ3a42gVmaVmpFC64ClfNDiZIR7Da3ioToRlRGz2HhsIKw2wQVwUX8j0iXTW/qRXhhQqVjrz/2rLD15ck05/u9Ti1JFnoKYVRZxMWoWY6234INYXujgTkFIPfjroVOIaI9APnqivYKrbX9QLqSokra5X8qWNH2bHv8u80GE+zlt7vl+154bPeGy2OcGxeKl7L9S5PdiRrvnuHoCPu/NpXmD0vaDTHTvG+35bOHlu3beG2m0b+1d/+95rnuiwuzDA6Nh53DxoZHYqh64Zhc3pS5katKudvWUk8I2p/aYJWyEPLpKxdFe+pCpJlb6kPbf6CF3h0NFXfDQOCSHDSCWMoe19Gst5DtkNTu+dNzjdJavWz0uziKJplLqLuFVOMKQKw46QZH5Wq2MHZScoFQX2N9AkiL5lsU1ZB941Bh8e1MpxuNCNWQYzQ6LdswqiLmu+xWRGSs+0qZUXZhdoFZGWxS1Gz707axta51Q58VuqReL6inHIphnXOT/lVTCfqOpbh1GlBAx46+ihjG0Vw3EjK+cxXz9G2pfplen1cfqlUN7909l6+7w3SdWj7dpmnj977OH1lQRscOvQ4H/nIxwDpdmkYRkzfufAWAhaGin8O9qVY0U6Sfmhy+VVXA3DPnVLVCE17FY3qpDBMFabNQb4k9/guhZXvyKW5ZKwk37M8zLQiSF2DXlMRXb5BJhFR22SujedS1HWcZ+rtuPTRcj0cnXdLYdRxCvKKsDlTa2PqfTrerGNHdDQ3gjk7eFrdeVlfijuntDtQrcKiipnPaDODom3FyMea79PnahfITIKsNuaoNioAvOCWHwGtc9nFPN1m1LWuCtrcYnFJOnF6bo+bL41QXN8ZxnzTDTfH4sKRrdCkrKKjAO96p3Sqevi+N9PXL9f/0Y99CID/85d/GYt1ppIFmjUVQ7aSGAoZeE7QE6FBGDqAj6Fj4gchHUUspTOFuEoaK3VixKgKw1iFn5tOyN49JQCOKsWsYNtsVWx9p+HGdORGL4g7hVqBQc56ej2sL+HEQqYNx2Nog1ROp082MV31FyqQamSSZPR8js03MbXSfabbYEHnSEGpBK4bklQq5ks39vHYsjw3i40lfEuueUE7GKYckyWt8NVtkw1KtymVy1y1TdCA41tFIPWOuz6JExX/M0ksrW6P5wfZtlMqitPLghhIpfqZfkpoPpde+Wquu/YGAL5+xzdZVqTARXueR1LpRmenpVKcSPX45ztlvsycXODUE7K+lfvG+a/vfAsAX/zCXQDc/+27ufcePfdaFa9ZWb25iRK4z1WjDF9przIepiUCxwCmYRDE1MUIHQsoit0wnTiOcYo2O3bJON3XkvHYnc2R1Spsp+5S1jnT9EO6SjFMhEbc+a6nVfFNYzkqSqWf9v0YNdhsuqR03kSIBiMXYobyG6eWXWkbCzy2XCGlFfRRBI5frOZw9RyeV0xw72mNvdrLeOq/5lUaoJxJMKOIrprvM6GdFGuhRz5CUJlyH9we9OVkvrbbLgn1iamSTWVe407leF974y3sVprUPQ/dx6VXynz80z/7CC+9XmKkm593DdkjcrwZX4XYr9jG0dMHAXjo249Qn5d7VihvIJWX81yYFR/UnF8T+xo9YqBEAIYVxbzPhYUQuJi2EwvS+z1X6K4g6L8oPtdxXLvihl4nfsFKg5FVdoLC1Xdls+xUyQKv7VLSNaLZ9ekF0VoXxg15ItrYQMqhlZPvna+2saNGJ55HQmHxEYrVyhsUI9mP5mqn2aP1KpaO67gncdVipU3Pkjl/81CKB0+Jb+r1VliO1jptCJO1TDxFitUDnzGNBazQIKNNWmqK/ss5CVIqRj+8czetJeHNDw4OM1vT5lf6u6kEPP6wIIsH+7dw6/W3xPczlZZ18Y6H7iOdld+4cq8gUC/fcjFbt4jEyD9985Nce4Wgm+fOfQPXUoH0CYkTF05PYSqsMggs2ScAy0v1NSiKC2uGYWA7SarVJdpt2d9cdPElnDopaJqRsXHmZs8AUKtH9KWAnvoVI5mM0aaJtMGVV20G4GGleY7ZabaoX/Fdj6TS/F0/wI0kOHxp9BT9DVAwTSYUFXRito6l4YLn+1jajGlaY5NCMkFBmQsrvkdB907n3HbceW9Uz3Ep18TVeGTfYIaDZ+Q8T51bpqmyOfNREyjDiJ+bdhgyFjWrCrukNM6rKNrGbAXk9LiNwI87exqmScOV45Z1H1Bp9siq2viBAw/y1KTE3elMFn+vyEP89i/9IW//BRGp37NPkIaf+upH+MydnwBg7sQ8yzOKbEtmGN8i8fbM2YqcbyXF/v2C/vKCkDNPHZULMRzc7nPDqAiDkG67QyqdIZOVZzedDeJ4/PHHD1PVFqP1mqyzpulQLAp1sbpSiVFEk1OPsnXT/4e9/w6X7DrOe+Hf2qFz9+mTZ+ZMnkEYxEEmAgFmiqIoUVSwSFnRtj5Jlizbsn19resr2ZazbCtQwbQkS1SWGESKmQQBIhAEQGRgZjB55szJqU/nHdf3R9XeB5BMSd+9mMcP9Z16HnIap7t3771WrVq1qt56S+z/7KqM8bRbZr9clnAQUVTb1w9TggzxnFrqWm6aVX6NF1yGig6d30zzRgHDOMFXWNi6xhoK9YQR9ffOt4eUNfDwcrtNUf++R/ft1fqQRClBbtlZ5jmt8lpZbbO5JnvEqnY4rzpOjnoakjKp50gXQ13pijIqmySGstrGfhpDmukSRGp/d03LuXxhYYFd+64G4Prb7mOnouefPXWOo1eI3uyt1XlhXmzblVeKf/bxT/4h//iH/gUAf+9X/gPDVhOA5liTb/2ObwFgcVHu/TMfuZ8cIUya9xnEQq0qc7fR4WvKNqJrW7ZlW7ZlW7ZlW7ZlW7ZlW7ZlW7ZlW7ZlW/5GyNchossARYFJ5RkGhy1yZwuakRufkMhirdFgoJnvVq+P68n7aZRypCpRz5e1dXbYjxlX4vZOycHR7G+rHTCpROPFyOQkpQeUzL7bi5hWBMZqN8DXNrGFkkug2Uu3JVHYYRIyoS06T6x0uHaP8DkVHZ96UzKSWUv3oDXg7ilFz8QxvQXJIJzrDyCQe8uIdufX+hSVNG6k6rG5Ic/s1BtEiYQ7Qx2yk+0VmmVpsz7u+yxsCOnk5HgFo1Hofl8yjKaxk5PnpL3v1btu+V9NCiA1y19LfvH9/5q77hAOiquO3kmnK9H/8y9LBDoGqlUZy6XFRf7JT0hL5V//4O9z7MLXvOz/a7HWEkUxLhEdzcidfPkURUU6GBxam8pTMNRskrEYk7VgTrfaZxvDN98taKpN5UzohiEHlKNlMUry9un9KMbRCPWwFVOvyPUCrceOqz4zNdGFjTQhUhL7NLaESi44phkop2jpKLHiS7OX2FWWcbzj8E5q2iCgpei/5cUOtygvjQ0dHOWEO7G4TqTgkOFQfusSWwjDOLQMlTSzFLh544XqmGQTjIGOhtlrNiHQzFLRNznRc0f5AzaTmJZmBXzPZ2JakFsnF57D9mXtOYWEk2ck43LzHdcCUOmWaWtLZDsMWV0VpN33ft97cTV788yTL8r9eAnPvyAk5SdOHCeOs+y2UQ6ay4HBsYIKtBEFXzJorc0052zxvZTHvyy8d2nWP/eVuYZ0iNWci7E1bpyRrHFPCT17vZB9M5K9WAgSjCIa+klMURENTmipql3cMyXzHPZT9jTl9Uo/IM44gl1DqIQno7p2i7Gbk8OfHw7YPy42dKpQZGREr6cto7udPtfrb3Q2+1jVm5OrLQqaTSwrYmy23c8RXWliUSAgtaLPtZrhKY4LT8uxZz/GNUe/A4DpsQlufMNBHaCRfKgmxq+UeyHgayG5MpkslHjkZeFzu+eqG/R5q6/6zOuvld/4gR/8MZ5/4QsA/NYH3g9AElt2zQiPSjgMcVwloHcMZMjOyyIWa0Mct4SjKOUwCqnURAdc12D099NMnR1yFJcpuDia3beR5d4dYoeOnxO98moF6oo87oUQK4orMjFFRcNUrENVM/zjyqmVRCn7x8Q2PTW3wbCndsh1CFUnx3QP9lOToypW3YiD0zKH+woFKooKNUX53cVLHW7aLe8H/T5GUYYXNtoE2hSmpDxiZxe7NCdkHOJ+RKxk9Gubc+zfI/bkmacfBMQGB7o+iB12HRYdqPguU2p7brr7jfKdE6c5ceqs3M/iBS7OCU/OG99+L48/+jgAhRKcPCsE4r1TLQCuOngl3ZbsH+dOnqCuvFOLC4s8/MgDABx7TrgTPceltSbEvLWGRy+W+UqTMkRRPn+vqVjAGtJosMW15Xo5v4W1KUZ9KJNx1RhIM5ivSXPbFHUTbpkW32FtXfynQZJQV96htm/x9RHCKKKicLpq5FDXPas6Lr9b8j3210WvljZDwjTjdYJQ73NCOdVK1qWsCJ4VIg4fEHTCQcdnvNmU+1AE1fp6hxl9no3NPhnUaW69TV057jxFo862uwS6LxfdlCgjf3UhUL3a2NC9K4hYmpBnGPUKmLK833THqCj5/UunRX82wpii7v233/Em2g9K04F//wv/lE9/5m75+91votWWvfnN1wga+eX2s8xdkr1t/txLrKzKPtjpXKI8OglAb110DcdA8grewow0BrD2MuaxjQGvQGrj3BfCdUFJvzGGrbR73hc+J6q2xmRAL9Iw4cbd2uhAfQzPgWIxQz0Y3Mw2RTEl3VMqrkNNbdPkqKK/4pTduk8ttUOiDJnqOSS61014W3ud0b1jo2g4OCM+6R7Po9kQ2xL05H421rtcrb/R2uzTU8628xttaqpPVUWmX9roEKpBDiOXMJDXtaJLRZE+Vn2CxZU1/tbf/gkAbr/5KCe+KrxbX3rg83SU5296h3BNBV6Z6Zn9AAz6XZ588asAnJo9wYkXxT+v1DzuuEM4LTNNeHr+OcbH5dl+6wO/yoauWUudUDfiFeWz8wvNLbSNjekrskg4hy4Pf2CSQrebUCyWKChK6dLcPLv3yp5r04SOrhGr/lKhUGbnLrHNc+2LWOUOC/sJB7WhUaurCuZYXOUEjmMHXOVKChPKus8VYigpMX02R3Gccnha9ODMSg+b0ZmlDlYZy3cp6tA3Lqgdb7smr7CYcF2mRpvyez3RmdWVTa4alxvq9nu0u4riWu9TVV3K9t+FVo9I/blekNBXZHO14OZoXFfHZKMdUdkjNpGgz0Ab/uyamsY0ZP5PXZJz3t5rb2Tv1eJXH73h9dz/kPg8v/krv8r1h0V/mhMjvKR+UyuWZjzlYpVz5wTFTMdj317xm+KowJ133gvA7zwv1RPGdXNf5dSpsyRG7PzVh/fw/PPim7/2GiU+uMXia4ORfq/Nnj3CeVirVNmjnJgbLTlLRGFIX89+SS3i4Iw80+LiIjftEKTj+kBtWTnFU560MHByYvbYJrldKjkONbUrU0oUn6aWXSPi78y3AwK1ib7jkCrKfVIRgTVboKBzPnTh0EwTgP0lj7qec6KBEsxv9NiXxSu6A9Y2FZncaVPVtZTp1PxGh0DP9t3Aoett6VKs+6OjutTqhbR9eX9HqURf4xHV4hbX4WCo5xO3QEnv9+iRa1hTGz4+3eCsouAPjo9xRNerh/x79If+VT5rvc01rPq4sS3S7gua9dLZFgCVagNPK5jam5s5QZgxhm73L4FyqXwdBrog3zizndIY3KyLibX5uWd5RUsAHNjsicG2nuW93/suAOreSdbPqNOvRHIHRss5yeF8L6Slg39opE5NO1ZUcNCGBXlHqVLFpaDQxM5qxNKsKNxEqUCgRjjQA3/N9fC0I9qVlXp+8EySkLVVKd+rKRxx1PNZVOLu+aHDuEIMu4OQDT3kZMGtsUYpN+iTBx3WFa5/pRPl8OjlQO7LMQ4rbQmOVMbL7GyKw180LifaYtSMlc3l1sk9nF9byEd/OZXXI844xbwnV8wfPPXbALzuGikl2ljvsk+NxpU33sVP/awcHH/vg3dyZFTG7fCbvhuA82dOk6iTeuiqa5ialvn4xCc+xTvfvdVV5rWWNE3p93sMhgOqummNje+gr91lllcWtwjDc8ctyQl7kzTBbco4v/ENV1Pw5HWjLEtrd7PMgR1NAM4+v8CSkgHeMDVCUdY7xSkDWsZ4Wss7w0FKdVwduqFHpN2ISrWQ/hnt3qHlat7AIa3KvU2mHiU9nKwstjiTaKeTA0IK6K+2OLUkv1FMHdyMsT2x9BQKnvnNgY2JNCCUxAltLc3dV6nkBLNnZnWDcCy+EoJ6DYeCNmDwrKGr8PeMdLEUQqBlFX4d1jtyj/ViKXcsGxMVijX53vySOP1zFy4yqQ0NPvzrX8RrSID4qefO85/f/7MAfPYjSuxbK7G4KPodJ5ac5dimXKZCMzmgJhGkKTXtXLmx0c4Jqwe9Xt4Rz2gg1TH+1t8cgzch6/Sawx7lbGnp7e6erDJZlQV+br3PkpbeHLJVitpAwy+Dq5tAZ13GeKRcIM56B7jQ0oDUmO/nwacsyOFh8m6106ViXuYdxQnnFmSeRrQ0ZNdEmdWBzOpaABV19DzH0A01AKMba+pZPCWjvOtN9/L0Y9Ll6VBpjHPnxOYNW3KPR+7YCpjfeMu3/y+Hei08D8B4YT9t3Q8arwgadtjq6FpkK8CVyZn+OQ5VBFb993/2PzHQ3y4VLdffLuXUX3lAStg6nYgRbarx0oWn8uBvtVpnVLuFrS//L2/z/7UYk1Aq+oRabuX6BaJQHOPAxtTVeWpr6ZWxCXkrMmsZOSBz9e5bJ5hfkv2wputxR7nI2Ji8P7s5ZEFt08FSlbI6c2UMFT3AhVpCP14v0tL173lw8Zxcd7JeIdUulKEakWLqYNThasY23+s2uwFza2KHmqrTJQPn12XNplM7qWqHvauuOMKjT8qhbl2JxMcmJ3n9G6URykNf+DgX1HYd2FHjhSdl3jxt4oDr4JfqOp4DDl8pDv6JF58nasnE/ekHHwTgnlvfyjVHZb+54cjt/Pwv/CcAbn393YzU5Brr3Uu4NbmPS8flgHnkiqsZaCnlyfMbLJ+VMdu1o4gtyrhGWkLQqNfZ1PLXbnuAtfL8jmvEFlw2PnqLcV1GRuTQMwwjwiAjnoZU11EayL1JSbWW5RvDiDY/eePROoGW4xT1/elagalxCTBcai9zUUt6DperlEoy6WUMdQ0y9LX8tuKUyOitvULKpu61pdSA2o6sVGKk6FPUwO1UIl31AGwx4dhF2SOqmsQsRXBpmJGSF3DUtyh50FJ7rFsu3TTBaci11qKARBOIo75HoNfYsVPW/9tvuZWnTzwKQL1ZY6wm9tqLQp5VH6lwRP52bvZxKjvEllx/5ZX807v+AyClet91z7v/wux84WUhfv7oR36LKJBrPPT4C6wvyL1dc81B7nmbBMN+9bmP6rdicjfeWIzu/a5J8hLNyycSuLJ6UBNCc13gabTln2fljGmcd6s2vkNBu8Bef+0YVuenqAemnfUiU+Naun96maWu6NORkXoeAPNSGNFSrv5A1uNEvUQ/oxgpWNpxRqjs5ZGfzHdxHUu1lnUYdBiof15w4NhF8YEbaoNqrsOZVbFXnVKBivp/Fd+wmemTBtJS/xVJg3rKOV0LV47W8+6AfS3X3bdvij/86O8B8OgjH6Kq17XBEHc8K6sUvfJaG1x3hwRIXzx9jH98nwTIbrvuVnjHX5ydlv5bKjXZV5SD/syBq7ig3WFvvvUAK32xX+OTEkBdm1/H0U57aeIQ6Xkhjf3LE4BHYrXlkvR6LSuYYHJyhisOyT0/+dSzOVl+3u3eC7moiU5jEmqTMvb33ThJokEAT23TeNVjckxs05O9VVb0LHhdo5EnIU2cMqZnpEXdS33XIVB7VCga1nTv2TFazBNLDlnZrsXXQH/d3TLhZd9wek7mr6TlczXf5YLuff1ugaperFZwCNTWDVWXEscy0OYKCQl9TfjsrpTzzn5r+lvf+u5vZMce8Wke/sTvUlTfrdKoM7ci++qeI5JUnDt3gqfPSWnopf/w7zh8WDp8uq5haeMiAEu9iGJTAyqbLfne2gUaFdk/TGOUJ56Ua+yameAH/q6QkP/ur/8pADY1PPqwJHbveN2dXLxwHoAz5y5eNjJ6Yxy8Qol6rZp3p47ilAva0OHKK6/iU5/7jNyfGoSxsRHCLPGcxvh1GdE3XT1OZ1n2QnWHGK95TCsY5YnOCqvZ2q7VKZa1jNMaapos2tTk/li1QGCzpnQ2Pwt5rsFRHzxL/hosnganmo5loLpQjA0nZ0WXyrrPVT2H8+tytWHPp56ZX8/kBPKR2rXUhUD9sjSxdNvyeqZYljeBge7L1ho0XkVsUsrqw+EY6prkNE1ZL42Sy4983z/L52Bcz77j2lk6kz8fbPrss5/g7Dl5nrVulQVtOLRjaoT28DwAF85LDKLfa2OVDsc4hl0zcnien7+U03r8ZXLZUj7GmN80xiwbY178Gu8bY8wvGmNOG2OeN8b81SRQ27It27It27It27It27It27It27It27It27ItX0MuJ6Lrt4D3Ax/8Gu+/A7hC/3cH8Kv6719DHF6FyrCWESWevv11N/OZT31G31DS0cVlxrU8cM+eHfS0zCtoXeBsS6KIOxsKZy4W8DV8u7NYIuwriXuUsk/JwTe7EWXNcrc1a9asl+hr5NUm0FAyumGU5lzTG5rxdWMH35co7EijyIRGQBMDpq/wV81w3buniVHY4IUgpKKP7RmHUl2zUZESnKcwqeUpe8p7mDisxN39Lr4id27avR+AZ1ZPECp0fxAmJJoRp1DgujGJlp7ZkAjq/MIJdu2+E4A/fuSPWFfU2dGjN3Bp9TwA9XqDxVOnAFiZPgzA3PIsv/5bXwLg1AsXGKvJdbtleFF46bjn3jfIz5oq990rv3Fxdo5OuwXAxz/6YX70H/x/uFxiMYRxiXOz69x2s7SMHwwtlwaaIa6U6XYlqpwlKK0Fx8vqv7w8+n7D/hEWOhKhHlc4zpW7Jwg0v3PVeANPv9cahNS0VDA2DlMjrya17vQt1VEtwZ3eQRIrkq+/SaKktRkR5s5alVKWIS/5NDSz1OqHzGgm+sysPM/tIw2MEgxf2hgQK9FvyTg56WWGVgttSjmD+UcOrt57kqa4mnndr2UC58MeaJayn0JRMzau63OVIjZebisMvmBoL2sDhbpLkBHiu1V2X5khLyytlsDpZ89ltaspH/6VLwKw68ARdkwLWvBnf/m/8s/+nmQUVrWlbrXo0x8oMsEmW9VthstGqioEvVJKt7Isc4Tj5L+X2jhvXZ1NtLUpVteeLbkYhaxfv6dKW8e7rvZjrF5G1YBR4xMrSW1oUnYpiXe3F1NTwtsltSF+nBIpOsIzDjW9bhCl+JpNypCGaZwwqgSshYKXkzwnaUpZM/OXVgQqfMfUKH5VdHRudUCq8O6CMaxoKZCvv5sYy3e/R9BZV++dYfWskMkb43LbLYLMWV+XLPrNN3zjXznSowXN6Cy+xK4d1/6F9+t/xfcLzlaO55f/r61s1Df9g5/gj/6VEP4ONDMc9JY4/bIif0sFdkzJXrK4uEgcT/2V9/r/WIwB4zMMA0yGSDRQLMtcx3FAt6O2SVt6g4PR8j5/upJnrJ1Oh4Gu64aiiXdOjRA6mtWrlRkoeqUXJexUOHyvF+UlG9leV04KJNEWiW9N0YkTV1a5+FUtw8gQ1BbqU1qW1LFYHdMES0XL5jbUBt0wNsIOJYItVKbpLQlB7rGzT7Bzl2SqL5ySv11z/TWEQQuAWhGqivQZthMaeo3pimQeLxIwNi6IheWLpxko+sNzi/RmZSP6rnf/HRmH6WmuOPzGfAp+6ed/CYB/93P/luo1Ui57ae4sO3dJ6d4VewQpWywU+cB/Ftvk2ALGEdszcfURvvDhJ+T5NcPe73Txy3JvNjagpMCp8SAJeTVt92skBkFq2ph2R3TZGje3Q8b18mY71pFyk2TYB6NZ1JJPqhniRujTVuReTX2l0bEaHWWr31kpMgzks+0gZrou89/rxbQU6dlXXRx3IVWdcDyHRtYq3E0IF7VhiTbHsQ4UmzK3lZLHiGaZ+0lKTcnKV9Sfu6HRxG9ke2aYE9v3gpCuZrUdRaA6BUM4kNfF2MEr6/6X2LwkoxTKmJliSLEs41Nr1Dh6RMp1Zi+c4B5FxX/pmLSvL1V8Tp0RfXUNzHRkP/u/f+TfcjEVW/foVx7jTz76K/L5opQdXX/VbfyLHxckoYNLoy66Zmo1fvXf/SGvkrRI5udiXVwj414sVsHIuoovF7DLOEIqnzX6iIdbZbHGzZHBW0pmmdghz7jRX2d8VF4fqhfp9rPGUfLRiYkqA6WE2FEtMlTbsxFEHK5u6ROKTu0oPUgN8vJpa6Gq5UBRbPOmTwuKDttRqzCiiFav5DKihOWDKM2RYhtaund4ehJHS97arQF+9pg2paPrwo0ymI+hojaobn0C/Z7jGmpKR3FtTfymk8kaE9Pid05N7sAfiI44o4aBNubRvh5MTDW46mohCr/ppjLPXzymYzXNM889BsA77/wmQsWLXFyR7++c3EVj734Zp7V+Ph/xeJNLX5EmHJGeMbBb1SqebyjXZa9L4pR+d5CX573WYjHs3jNDoyl2+uTxY5w+Jc+XJgPSzEfKfr4X4I5kjVZiPNWDMUqsK7VCTRs4NUcqeYnm7ko537s245j9FfWbhgltbVIwUDReo+jQGapeFh1KWZOyYZqjb2a1XH26VqOhtxZb8NTvsaFlRNE3yz2ZlwNjE5T0Aq31fl7mbbCsKwIoyXTYA1dtVwWfqlYb+a7JS1MPNkSX3vCW+0gc0eeg9QYYiJ7PnjlFRdH/UV/178qrmHtJyf53j3JxTnTlrrvuZXZJUH5zC/M5jYVWAVIqV3jkUXnfi+eJtfHGjfv38F3vkj3UxqqwqY9RP+vEyydydH9vKM1NLocYx1Asl9i5ax/Ly3IWm5iYwC8q/Q9OXpkz1hAvsd8NsHUZq3LZxfMV2bw+INA1PaIo0tFmhYEj+jVTLZNoJVg3TRhX9OegH+UV5F3V27IpEOgZzXFc6lrOH0VJjgS9oCjvnfUqM1o+W68Wqel5LoosdZ31VbVL+2YmcdVOdtZ7FBXlF9uYdmaXdGl7roOj/nzdK+QljaTgaxXA3pqM0xmny1CvFeHk1RFOwaWh97CpZZLL8YmvPSEqz64c52Mfl4qv73/fDwNw5Orr+PF/8osALJ13iTvyeztefzVPfEb0MVESfNfxwNdyfVNhYUHs1p69hwj1Oef/d5DRW2sfAv6y9kHfAnzQinwFaBpjdl6u+9mWbdmWbdmWbdmWbdmWbdmWbdmWbdmWbdmWv9nyv5OjawaYfcV/X9K/Lfz5Dxpjfgj4IfkvF9cvk8RDjBIC7tk7w959+wHotDvs3SMolosXL+oFLK1Fqbsd21lhz4RkwR8+08Mo8qSt0cSCNZxbkOzdqFck1CylwWFVEVk1x2WgmUlHI76DYUJBOWhMA4qa+SgXC7gaQS5olryOg60qJ07FzdtnO7FlXBES9+0WpMB6N2ZpTUKVacVnSYnR5/sDppWPoV1SRAwOUVuyXWtsMOgqN9B6yJFrhOQ3i2zePHaYWV/Gp+r4LK/L631jh6gop8beCUHJza6u0w+FYLU+OsbUZEbmt86FC0JMGKYxzaZ8/tysZAo2V0KOXCdtjb/8hSdpDyQi+2u/+AHuueouALpt+dub3nwPnqaUr73mAB/8LWlh6zguf/bhP+G1lFfpk+NTKDoEQcTSqtzLSKNBSVET7U4nJ1u1WX/1NM1J5QtN+JY3C7LoQmseoxH8zX5GQGo4dU70bbJUZnZO5nKiWZSMOrDRC0k023/dfuH0WO4uMD0u43z4+tv56kOCjLOBQ6yInVEr0Xffd9hU4kmTupxekd/zEoPvyBJ7w5RkyjrDhDjR+u6xMgtW1sXSYMAuzQwtKBphJCzTybgCBnHeGntIgqc6XdSs+hGvyopmXSd8n55yKVQcy2hFdHJMs2NL3ZBIuQbCPjiKBBsfa7K4JPdbrVfYtVPi3usrwqPTa6fc/A33AHDlldfyL39ayAzvuOta/oXyK3iOZGaK5RLNpuTYwnCYE/oaDNZY/ioC87+u/HnbhFfHdeKcd8umBhRBh2tyvjcng08YD1fRoU7TcPdNkmVaGoTC0go5lHB6tMyxVSFpnG6UuLQs+uobj42sOYDj0FJ+uYZydfmeS7Eicx60WxR07hzfwdVxGKnJHFVKLh3lHGm4Lqtqb1xjcBWZ+EN3Cp9Dv5+wsKDoWNdwqS8oj0vdkGnNlHYUbTCZeDz2hBDtXjhe541v+Wa5N7fEZz/2RwAURyV7/KEP/gfe9O3fBUApDqg0rn/FiGt2XP/9X6G5/jryxPNP8r0//28AeNMtd/Evf/IHAfj+7/gBPvvbn5exUOTA9MQR+lmTiKjP+Jhwh2ysD4jCwf+j3/9a8ip9Mi6O4wiPeI7yMRSVp3Ew6ON5Gbor0xVyzpzmbo/33tgE4PT8Co6u5YzvZMR3+Mo5QRCMFYo5IamPYVnRvEXHsKZov5IiNIIkxdd7iNyUpmZLBxcttZo2dVH1rtcKrK3KmiyVC6Sq0+kwYacS8t7dlHlv9WKePSP6lFzYoK32ojg2weC87DMDR7PtpTqVsuxpqUnJTPMwTfE1u794Se57qlnAFMTuVpIaLx0XUvipRpWLpwXR9fSjDwLwYm2cLz0uaMM7772PoWbWd+6coqIo3V0zMySanT50QJBmL584SUPR1N3llOa0oFXKlDCKoMj4edJiBcfTZgiDFmQt4x0PWyhho9cm//jnbVMaBRjPye2JsSbXBZvGWLUFaQ4BsqBE8JNXN3jLDYIGWFzt4WfcjepRND2XZ+bENtV9P9clm6ScX5X9ZKpUpKeoiQy5lQKePn/oJzg2W9+GsV3a6KQun63hsrmZkZ2XGCjnmYPFVXT6G3eI3xSEsKloR6fs50iJ46t99iivXbck97KzVCNFrtVrDRkoOihxLZ4ic/qKEjn2wENcf5v4Lo3CkBdOCFrPCQbc+TppttMayDqZXb7EvbcJ4usd73wXLyni/akLL3DLPrFpe+/6dt57lyBdf/sLUvzw/HPPUpqUfSBYChnbIejVK649yosPvaDzpTNkLFsIwAhrBVXQ63W2PvQayav1yVFwtHkFZMzwv9xXM5SXk7K+1gLAbRoO7JfxX+8aHL3XUPnRGp7PU5fks+PlImfWlTjaWJY3xTZVHIcVRWdVFW2cWEtVOSSjjY2ccNTFyTmUxhS1UK8X88oJz/dYUd45m6ZUKzLvbz8kZ4l+N2Z+QXyItOCz0pN7ON3us68pc7U8FD2vmxId9QPjMGFM99aJvUdoLYqf/bobxY9xXnqYVUVeVad2cOXtokMXjz3GREPWW6TNh47PXiRS4vLpHVdwYESe+cOPfp5vu/ub8uEuKLr3hsnrAPjxf/tDXH/T1QA8dv8T+IrC76ys0GtlPMaynkv1BoHa3UKpTqcla8gvlCmWSoT9y2CbjEs4HHDxwixX+GJvjt50lCcel+Yf1oKjvnLqZUfWhEzX6pOG+66Ts8d8K8i5uTLw2c5aiRfnxTbVPJ9E98cAWGmrLhmXoW4idfXNCkWHgiIC/bJhoP4NkUNJETk7dO7rlQJd3Scny9W8iUU/GFDTM90bDog/v7Y+ZK4lZ8zIdYnUbz7bHrBH52ZdmxmVE48oyLhz05xLyTqGsupzVfX5/t/4AG/7zu8FYPnsGd7yzdLQZ3N1hb7O4+aKIGG8YgkvEb2s1Su0tdrigS99jvFpRfGlEU4qvzHoi24PuyEltceDFYeSIhNPnz7P0rzspQa5H2kKp5y79Qrz86prZgtV9VrIn9/nhsOQ+flZBkPxj++57505YrFYdDh3Ws4FviKahhsbmJLM0YHrS9ywU7go585tbjVV0d8aLRY5rs8xUtzyZ0JrWVVut7Jxch64iuprklhq6hMPNzZxdVw861BS9NaUIsxq1QItRUSPJBU6bW20EMfUlRfrbfvFLnU7IQtL2jyi5LOu9uxsZ8C+EbnemhEb6aY+VhfFsB/jKmGq9W1+D+pecbBQYVPXke+S88TFMRS1KqWkHJkr631++J/8AAC/9nP/kwVtZrGzuNU86sDkPr7pG74VgN/44C8DsHhpAU9tW9jtUZuWM+qgHUrTCKCrTSjKlSoaPsD3ejiuzNHa2hozMzIW83xt+bogo7fWfgD4AIDnlWytVmVzo8/4hCzI0dFRZucECl4sVRkMM7XUAFC9xIR2T2hO1QjmpBRq12iJQIl9S2pIg0FEtyVKthAOmNSuCZvtAbE6FNVygZY6XNlZNB4EHN4nE3V6doMwzko7khx6OqIliqEBTxWuG0aM6mEl9Sxq0zi/IoYwJc1tQjAIqGhgoTT0cRWGWAr0IHx9EayWRAwdzl+UqS9HHi8/I/HDG26T90frdRpdMVIjEwUuDeT3ltfmSKsCwd/UA7o3sZ93vFHYLr/6wlM8/bJsQEG4Tr0uDv3EyCQ1PfBEuiF88uMnsZEEyA7sPQBW5mBX+SBzC3LAes83fwsAn/vc/Wy2WgAcvfEw3/+DctD97d/6I3o9XcivkbxSn4xbtmEQg/HzDjxhOKCgi3kw6G0dDLJ/Cz6mIPNbHnW58YA818IgZdCV1dgsZp2d0jyYcHKlw437RGePL63kRNLXTo1ycVXx4tqNc2Zsmv3aEWyxF+cNDSozJaqTEjwMtR1lL04Yq+vByStQ03ILt+rkgapZLTcbhglhEOj7Za47IAeDlW6Ir8G20lDL2dIw7+yCSXNizqrxKGadjzKIbaWEr5ulSQxG10o/MnhD+b3sQHPRa5Nk/pKTMjJR0VsfsmeXPPPy6jIL87KmJ5tyj62VKmsXZKPuFhL+9b/+j/L8gz5pouUteo8ba6vsv+koAE8//XTuf/t+kWuvu5YTzy/xWsirdMkpWBxDYg2YVzhkelg0jt2qTc32eSfFKow9xeWgdiVb78dYZUvepQc+giTfcS8FA/bqRrYy7NLRTafsFwnDjMRZ/x0OuGZKCUTnIFJIvx2Ap3D8jDyzF9scptwZhIyWRB+dgskDcufnW/nzZ6Sr3U6Qlzk2SgVKWWcWTSCkow7jU7JONtbW+cpjDwNw191v5o7bpGTZ1XKuW+58E2NKFA/tV4x2C2jq6zL/T+T+0/K77/umf4rvyP2E6zGrmkx44itfJolFj/fvl8Po0qWXWV0RXbzp5ns4eVKCLt2uYau31Wsjr7ZNRZtai+PavOzNcx26erhzfI8o0rWc3UapiDcmOjQ5VqC/Lg7+zHiJjpaAjejh3fcsvn7x1FqX3aMy/itrXRKdv5FqiaWuHgCN6lN/wJG9MnbMw0ZPbN7hqamcpLes+8lmEKPVFrQ7Q8Y06O0UDAO93nltjuH6Pp7a2DROqGgZ7+233cWXPyMd6zwNQjx74jl2q4Nz8ODNeNqY5cVnT1DTgFJTO/v5nsPiaQmWV0bHWNekzumXN7jhCpnjRx6SssPlksOlUxL8H/31Mf7Oj4v/vLg+y8ikrgXPMqVB2cNXSHOMf/zjv0yq5VfjzSYVT2zawulFSrqmd2nHtIsXN4i0jAG/mgcC0vS1rTF7tS4VrOO7gP1fBkCM4251Icnuw3VwtPwPP0TjQsyMlxlqE4oxPQi6WPy8w+qAaT18rWx0GahS+DWTXzrRkph+MOQKLWdjZTn3saJ+iqnK9WrakbizGTOiZbmd9oBR3fPixNJTx2m1JWs3weY9GYjS/FA4Xi9T0IOsq6XW7VJCZLY6LZa0tLdgnTyh42iZ+BWH9+EqrcJSMMuG7o/rS0Ned7usr/GmdI+9/8Qlvv/ttwMQRgndSPyYxvgonzsuJM1/+KFf5sZrXg/AhFJj/I8PfIhCJFY48mIunBB7s3BhPqcVyP4lzaw14JRIso3Vpq/pYVJ/c0ufjGeFHNiC2Wp+kb82bAW4MqoAW84TQJURhz0FsQV+zcs7+Y6qDpkkwdd1fH6jy0xDO5p3+lt+eKlASwOYwyy40e1z7dRY/rOJ/j21KVkXkYoecLthzKi+3uz0GdNDe+oYOnqwu7TQAoTQ2mbPEacUdK+bHqnhKDdJMZS/DWspJTV6cS+mo0mS86efp1qVfXjxkvhuldIk9x2+FQCvOc6sBvSXWxG33vWdAHzkE58A4Oa3vYmjh48C8NGHPslLp54E4P/6Oz/Di8vPAXDd1BGeuSSd8j70YQmcfvRPvkpLG5FYPFJNMi4cX5L2lkBBa0bjaIDVWvX+5ipoMj2OA1wzwGZz+v9SXqlLhWLFTk9P4nouL52QMijHnCRVXy6NBlsmS8vGvGaBwriWlU16lGO5z9qYT6LnjxH14dMooaeBg1YS5w19etEw78pZKRW4oIHOmiZx2p0B+3fJYT1IU+lSAMRJmjdYUGYABlFMWUv4B2HIqHYUDiKbl/wvqw/eHURb/l+a4Ks9mmpU8LKmQEN5tg0TUdCzRNKL83NlkCS5TxBryVuSWj72G9Lw6+Y3v51TL0tCZ25tnYoGclIFPxQP7KGgAZvnjr1AdVxpcGoefe0KVPILuR+freFL5y3dZV3jsaWn3QqjzWirHFHvy5itYOTs+bO57ril6padeA3klbrkeiVbqFSIkpj9BwSA8OKLxwh0DpaWZwkyUIA2vnKmXBoTMsY7J0YYrsh47hgtE2osoaF+STQMcrDIhY0ek9rArNUf5ramUnRZVzqWgepw0hswo3YpXdhqVpFa8NSHHNXgej9K0GbYrHc6jCoFg+M5dPU8N692KYzSvJ43DZOckmO6UcPJ6EpCuX6LEF8DtGkcker9RkmaMRRQ1BiF77uUda/uedDMbKq1lIuylhJV/vlSk9fdLDbsxfnj3P9loY5625veTqkka+2jH/1dXjgmDYVe1tL+S3PjXHvwJvnsT3w7H/yg2KtjjzzHSE38S6t127Hr4rgy1mHYg1j8uSQeYWHhr07oXLbSxb+GzAF7XvHfu/Vv27It27It27It27It27It27It27It27It27It/z/L/05E18eBHzPG/CFCQr9prf0LZYt/XpIkYXOjBVhGFdH1yJfu57u/XzKvo+MlPvWJL+qnJeI4DFO8hkRC7z5oefqYZNZ2NSu0NHLulCUq2Asiihphb5uUVUW/jBQ9NjK4VRzk0fRQI7O1gpeXvkWRxako5LMVM9Qyt5JmJm1k2LVTIv7Lm0M6WnZ0++5pPI0Em4zsPIrwNIvZ60ekmqbshwFeLNeralnS/KU+09OSlfJNlauvl4h2f3aTsaJEQ48/L6Vh1920NyeSTaKIkaKgZkqFIpuagT12RgjMJwaW5U2JoA7jFiaRiLfrFGnr35MgoFeWKGytJKU9MZBq5jqKY8ZGtZTKeqxckpjm6iXJrj/80KPs2SPZ8dbmOg/cLyUBiwsLjI9fRsJnFYPl1GlRv1tvuZL1NSmhcRx3q2goI1f1LNphlx/8lutYVhLnshvRVzhoX8tJ51d6uDqegyRiWYmQ606BQNsNrwch5ZL8ytq6ZLR2jpT4youCxqgcLAuJIpBGBY4dE5Tcjp0Che7Or5Mo1GelP0D5pXnd+BSFoSKrMnRPEOSdmnvDIcfOC0KqWrO0FrRMTXU6Gcb5s7vGbLUETiwlzZZpx1euu+91LJ6WBqvPnFlkYlL00MaGsCC6bjTjdcfIOM8VZf7DYZS3QT83N4+nN1cuFanXtTSz2JTx67foaKlr341xjFzj3LklKhVBN00rcml+folnn5Us544d0ywtZfPpEUch9jUu69gSi2vSHByBdcjqqmxs8qxylmNwS4a6ljx9x727OXte1sPhnU021fZ0ulrisRHgqC3pxxFritzaPz3J7AVBSJZJcHUMW2pXJmyJC1oyklhwy9ncJfT0MxkcOUksI6PadCNMWNH24kcnxvGVNHpR4f6TJSd/nEEU562LLTFaYUFZ7dj5+S7VktiKqWYxzxQvnj1DSTPitUlZ/wsrC1x48b/IZ/ce4sBN36Fj1vxLxv2vJw98/n5AMvypZil3zRyiWJSs2fjkHq67XsZ1UhFOL3x1FZvImDz91Nkc4WltCslri8J5ldgUkiG4FYy7heSIs4ykVwRFPaHjbBzDdbcLNP+9h8d4/ISUxRxuVuhYmUtX22B3ByEV3euCKGIuFl2YbhTZ7CmRaTfEVV0d6jyN+yWWFLlqMXlW/PTZ83l76qKi/+Jhyqjags0gYlUzdHcd3oGnjV6GBfmO7zrsVXTP7GaPTluQXl/60me29lAdmh3T05TLTQCWL8zy0/9K0J0//r3fTrkmtuDcJdmnZmZqTIzLN5fbGzR0yDqdlOeU3H4zlPtKu5aSEp4fvf0G2toG/s8+/jFK3y6ontff/QZa/RYAX3jwy3IxPyZKRelbrTX6WurhumU8X/TozCkp6XeoYvVJHBeMIj4xDjYNLwcVPWBEb+2f11cdDMchCXqv/oZf4OAtcu/feuMMp8+Kbdo/PsJCV8scFVjZGYY5ijNKYlpa8tkoF1lVe7HSjyipvgaKoKolhlkt40lSm5cbOQ3D8orMSTEj7g0sE7omu0nE/Jrc7+GRBnt8LXNU2gVnEOWPFiYxoepuo+bQV3uaaIl2qxsRqu3yfIcNJY2edMpMTMp1S4qu3n/oKjYuyjyONqcxiSA+jhzYzS/9+u8CML5X7Njh0Skmdsv9Pv7sl3nkMbE9vqkwrojAf/BDP8Uff/R/AnBxVtbJ0LhYLRFLggRSWWvDzR4WfU6jDR5MuIWcSpOt2hNS8i5Il0usVeRWhuhKtjr2OJAzMmd7bRLQOCz3/867ZuguC8LlQK3CgqKerKL4OkFIQe1zECesDbI9p0BH/XC3F2Zc9PT1WSf9Mssd0YvU5jT9GGvpKjoj2+tIDTN11adhlJcbXbtjnLrecpShJYIIoyiUII1yv9+kKYGWddSUsLo/jKloQxfrxETZmotd0o74dIsLUm1h3ZR9u8VfrtRGmNMmLQf2HuTjn/44AEv6PKPtDh9/TJCtu2b2grkBgD995KMMlWy8d6jH5oacb85qAyK/UaF/Tl47TgGrY2USGB2T6oCKIm0vXTi7pUNe+RVoPI+UiNeK8uGVYq0lGA74pm9+N7/3R78PQJqkGC1vLhYnCHpKPaEINFLLzF6xm99weBcXZlsAHCiVWMyI4DPbFISMKkrrUnfIpq77HeUtXVroBBS1qifWM1atXGBNy1ETa8l6DRgP1lWXMnSgm7o0xrSEfxCzomWMO0YqjCpiJ8lQTGmSbdcEWKz65q5NGGRNfDIk4iCl74ru1z2XjiLTisbB97PGHTqOnse9b3qzPM/6Ci+dF9L4drvDqvp5S9rA6uJnPk+vqg0TRos5UXxiU1wUmeUaErUtsXIRRAXA0eoRwnxth/0BWLVNuY9ryEoYHM/HUQRnkkSXQYtEUpsSBj3cSpnFJTnPeV6RfftljU1MNHnquCCLKlV5jup4k5tukPu8YXSElxRhvqNcYVF9Laemz5+m+GT7XMKGlvlOlXy6uuc5aZSjm0M9M9X9IouKvItTm5tGbMqqVrxUtUooiWF8UuxSGKasKxXJgZ0jjChiN/MSbBzlaKXIxlgd70KaEuj9ZChBQgiR+y0DXdWJpl+gpDGGgZbc2oKhon+zccrMvkNyXc/j5RefBqCTytjsP7Cb1Z6cxZ4//iQoPcGDX/osR64QapHBYJOmonIn1M8PgxonT4i9O3tynp/65/8SgH/2T/8PNta1ikvXexwHW+fvJM0RgWncp/uXkNBnctkCXcaYPwDeAEwYYy4BPw2ygqy1vwZ8CvhG4DTQB37gr3llMC61kXHOnBSH4y1v+yamd4nj8NRT5/C0VCB7OusEvP5m7bCw2mdUyxGDXrxVeKIcD4+dX883sT31MgOF+XpVn7G68h+EMbEap2mFqPrVAo7CWW+f3sVnXxBoctF18bWM6cZxcZZ2V1wpbwIuDAMcDXL0V3sYrVLKbGIcpQzzLkEJgcIFD+9vcGEl6/ihfCClEhvLskj3H2hSKWnQqznO5oochPeN6yIN+ww0wFBwi/jKL/bk7FJeEtpbFIXdbJ2kOCZO2sjoOK1N+d00LVAo6iG1WWH/Hik3evoFCZ6YxOCpU+F7Nfp6eDpz6mVc7Qg0OiKHsne+8x28/LJ2KyrWuOEm2cQbI03++E8+wWUTa+XAap180F86doZ+V4ykMRaj3lSqHSC8SoFvfKME39xum5Yu+IobMtCNqFqTiXx0dp2utrE5OFLLu3QkPlTUKM0tDGhMi27t1IDNoJgyol08orknuPUe4W746omPsvcmMYJ75sQIXDlRp6KdXbqObCQA3bVeVtKPp5tPkCYkufOW0GophNYz9NUo65QyWqowsVdAl3MXzqDNPYiNZaDQ/Bmt53/y6WeJ9RA7NlqhppvI8/110nXRl6XjYryuPLqX3ZPyvXOX5ogS5QMqFHPn3CSW9rpsyudmBc5/8qUN0p5uyEnCtB5erztyJakesiZG5eAxGAxoKS/B8vIqN1wvnY0OH9pDqVTh0rlHec3FJhB2sYXiVkAr5RUdH1MoiF5YdSbjKOHO65sAjKchLS1nrdYcYi0LjTbls19ZW6OvgYRDo1VKeo2qH3Jon6yj9VYAWkJxUDeWHuBpidGde2a4/2UJdnvGoaTO5NVNsSE7qi5Wub0Wgwht5shMyWNTf6+nJVrrAXmH2h31Ak/PKieO79LWAFBFy51qjkukhxVncpS77xHumpPPvwAjos97tYvs2uIsV115MwD1kSbz56Xc8Le/8Pv8n3/3V//CsJ9sCUT/yua1nO6K3b0we5o3H3lz/pllLYE0RtaX73gM2lK+WvBcNjdbMg5X7eelFyTYHKk+f9d3fy9/8Psf0Sv9ORB0xrV2mc6UxhqZD12bsY23DpM2Be2Kigav6ocbvPWArIEz5+aoaunpsD+kUMxsgHzlwXMrbOihf6ZSzEvMpuplJpRDcnFzq4x7n3YMs2WPRkl06/WHdvPp52XMrZPmMPzbtAR5ulnE6glhYRBQ1+6I/eUeqd6PVR6QSqPGipZBOlFEtSE2wrgOy3p4OzQqe/f6wnHmF2TQW+sRP/lT36n3ZhlWlFerLJ9dXAn4jve8C4CP/dlHmFuR3xu9ZTfzJ+QA2FtTB3Dcz4tirz5yFY26JG9K5SKPPSF6+OILz9LUQIVf3y/j2wnzGJJxHIaa0IAQqx0K81Iyk2CUX9GYXj63MCRNLyPI3lpsmuJoiYm1NldnYy1uQ5410a6MTtXjXUeFJ7E7u0FZdSkKorzcJuNUevDMSu437a2U8TRourNcYndT9oLlzgCrupSVotmyz0hZXt/m7uJzs6JLBePhqh27XjncRid9xqtikE6v9/CU23HCcwi1HDvO9r44ys/oxdSwpoGUbpCwokGBpvprRAmuBpIjm1LJeOaClDvf8V4A2uvnAfALo/zgT4kNunDyZT72Zx8C4I+f+AyhkYPMxcfFHl1x4x4e+PynALjupqP80Pf/fQBeeOkYL59+CoDf+N0naajtXViW+6pXK2ystHRi0vwwaUkxRsdNg6qkcV4aD2ZLl4yLq8lNrep/bcUY8AqQBFt6bQ05X1iSggYfsXqvvuG+O4VvrNSzeLrXBcMgO8+gDbR44MxSfkjcU6nk/K2T9TI7G1oys9nP/cvdWo7mVAtUdd3fe2gvnz0u+uRbh4qWaV87Lsmw3RNlRnWDWxpEuBp8LQ4iBll5v9r1QbLVudlNYF3tpltwGXqiO6N6em3YlEFH5jJObZ5YHLgOB69RvkntlH7rG97FDTcKL+uxl55iapeUY59N1jm5IX403SYAGysr3DYurz/xyT+ioInDJIX1dSm3Pn3yRRbXFvSe1e6uzFEclbU9XG5v0SdYhyTnV8t41FzQzp3G6eJ4Wm6VWCrVJv3N14by4ZUSxzGr6xv89m/+dwrVjMbClbIswFqXitqLwJF1XBgx3HNIfPBC32FU+WXDIMwDr92+fP+hsyvE+re9lTKelpvtaJSZ1j1vfqOHp77QPtXLQdHQ0NKrm3fu4KlZSdT5sUddyxgPjjYBaFZ8qvr9S8mQ2NH9ZJgQlTJ+GwUpJHGuz35iWR5oCZ3n0lL/bkQNc911GaoSDuKUalUpVZKURkOeIzvDrvdDPvSJj8nfij5dTZRejLq4uq8oVS1T0w4bfYkQlMsegS482X/Uxw7CPEbt6t4ftdYwGj62KVhdM8bhFUmUjPcx3QpOvOJtx/ivWQnsnxfHOJSLddJkSEOTIr1BxFDHYmFhBRNnHGK6Z7hLHGrIOae10GFMedKCYZAHt5XhiEfPreT8kzPlCp5GLMerZSb0s8vtQd7dcEZ1La0UqKituXP/DI+clEB3wXiU9bN76+KbTjVLjOp5fC1IcPW6lWFMqKRhmU8V2iT3QYupk3f2dH2PtaxLsvrzJSxWbcLA2vxYMiDBVW48X33LdpTmeud4DmdPytnc3VfB3Snj0z4p47gnDbn3ZinRv7S6wdHrjgLw4Bc/wW/8xi/IOOya5ju/5W8BcPLiAwC88MwzjDfF3q0vr/D+90uHa8exuR9kMk4+k/8fTqFGGmYdGD3+Ol2qL1ugy1r73r/ifQv8/cv1+9uyLduyLduyLduyLduyLduyLduyLduyLdvy/1/ydUFG/2pJMTZgbGQaR0mDvWKBtsIC67USx45JlrZQ0yjlVMpehWk+uLDOYSUx7Tk9uoo8GCpkb0etQEdfd8OIqkJel7t9lvsSURyrFZlpSjTT0WjpWi+klnVPKJd46yGBBLfDkAnNhM6My+/204BAM76jNZ+elmPFsc3J6xxNhmEMLc0e2TClvaGEt76LAoVY7UiWZc/oOIWqRHQ7G5foWslc9Tc61BSOm2r5ZDTYpKhR44EpYDQbNbPvGs4/KdHmnfsk2nppY4WJ2n65nULAfXdKdnz/nhkef1o6qW125plbEaRI2JcSh9bGEEdJVccadSqaFRgZ20kcSJrxqqslkv7Msy+xX+GlTz/1IgUl3T90+BATijC7cPLPuBxiSLE2zAnE+72YxoggEnbtmubll6VUEE9hw+Me+8bk/s63Aq7YoZnTOGJRYdE9zZAdnKyw0VbEXhgzplH9dhrQ00yOV/FyUl8NuNMcm2JzvQXASLnA+gNfAGAqLjBdGtF7Ex08s9GiowScnuOSZgStUUQ71AYI2oGkWvBwNQc0DO1WtzbHJdASTN/JOnDEOQT3vjfcyyP3C6IhthajsNi1jmSFPNdhep9AUi9cuoTvSSasXBilvy73cOBKQR0dvPZmPvOQEKnWJhrEmt0sFHxGmk0A7rntPjAyrnt2iY789P/xP5i9IBDZJErZv18QhINBn4lxyVgeOy6lSGlq2bVTsscWN++IOjU9Sa/Xe615egEwjodXmSRNAtBSKOMUt8ok4wjH1y6uSvpovZgDY/L6sbl1rhuXNdJaGdKpyPcKWmu1wxYJ1KZ1k5iGEoyu9gIincduL2afkld6CqvvD0IiNRaj1SJv2ifrbK0fMFYUfdyl9qwTDuiq/hQcy5hmm+aXu7QUpZFltEpFj6aSNIfDKO/miGPy7GWoCm0MFDQT6IQRDz4oWZ2RaoPN82Kv3/KO98iYzM4SK3ywObMHOlJ2evXhm+grGeeFWelgduTA1Vw83wJgY+opTr8kUOhrr7+FY6ty3T0T4wxT2Sv+6Q//AwD+y8++n1JF9LHbHXLLrUKK+Su/8J+Y0o5nB/bfAcDy8jwoRb9NI8l6y0hwOcUYg1fwiG2KY7Ksr0Os2TybhhgtF8hKGA/NpDRV947FMa+bkXXRbfe5uCl7ZBjJGO4bq1LUcsZeEFNVfVntDYkVWen4hgnNShpFT2wGMRGZPhV4+5Wy7jeHYa5PB6dlbAeupatk9uXQYX1R0EIF17CuDV0yYu1+FDJUG2QSi69IiU4nwuhnss7HwUacdwz0rEt/Q4l545TOiuwtXS3HmZwcoa1IsaVOL8+ALj3XgbUMpSv/Nidm+M8/LYS+n/vKx3jpJUHn/PN//tOstAUVvTq/zPU33AbAhXPnZZycIsbXThFpifEpXU+tLqEik+JAfqNUbzLQkgfPq9NUhPn6+hyu418mcKAFLMbxckAHjruFFjIWG4ktd2pyB2NX+0xpp8mHk5CbtItt0BtwUdHZRV++v2+0REtLm1f7AaNqp9aHQU7Sa3zDmOpSRua81g2JtOx+tFzgLeN79RpDJrWEet+ErMfVKGBDM/MT1WLe+AW8re6wWQmvMSRZh6kozRutJLH4WQBttWekUNBMdtn18tLv0akCDz0oHVj/z//73+htuzz8eUFNXHH19QzUHlWKFYJ5eeZb7pAOd1fffC3GF9TJ2NgMp7W0v1kfYee0kPdONMd433u/D4AP/IYgxR752K9DpEjNpEDeucWCzWDV2Sw6KcbJkC+JINP1obJypMsi1spgWsBm6EWzVaboeJBq0wztOlfcZXIk34XNFrcp+rrXHjA7kM8OXHm+vaMV2go97SZJvtet9bZIn13fyRFZvqKb1gYRsTIrj1UKvHWP7nWDIPe9DkyKHkcFy0DLgkZLPpsbYptSB1rqx6WqK/YVj5ZEad6NzXEdQt1bM6RsGKbUteGHKRh6WjkRJyFDJcCujDUBeOm5R/Ky9LmlddpdKW386slnCNsyViVfxubRxx/i+dPi/xy56SpeeFFsUxj3ufpK6bD4qfs/ytVHtKPnhKKxhhAvZXqT4mSHC5uyuSl7a7dfy99vaIVIEgfs2i1ngLW1DoPBAHs5is6sxUYRTqW+te8Yj4ICFYMwwmaoRSWk3n3Asl/PE48trHPLlJLGdwbMacMSq5O0b7RC9xW6VNVqg8V2j1Sfp1j08nNaqiWMa5vDvItpreRx66ScCZLUUlck9Z6sgUsYEmiDjulKgTklNLcFh7bS0WQoHBzy3+2FMSbNGiaQd4QcZOvbQFURuKmBSP1uYyxW95CeostsFOGr3rWGcU5Lgeuydkn0eVI7HW/0+5RrgtaNvDZDbWnnOFso3yRJcLSaxU20tD+IMVoTavxyTlZvX1ESb5ytsMIrKUIqRfleX5H9l0OMMXieQ7W+i717Zb727NvLgw98CYD15QWsntOTguwrtx8uMaFz/ujmBjdNii5FccCcdvbN3KwDo3VafXnWgU1o6LliYzjMz26u6+b7nONndinEqq/crHjcsVtoZ3pBRFPt0l7d5zppnHdqnq4UWdMyvtQR+gcQ/wjE/OYN8eIk7ziaYInVz+vnxPeWpvpnFuiE2lDPWqzqVVuRrMbavNR2cxhhFCmdzg45/ZzEG/bvlOZ7X3xsjnhEykG/7X3fzr//Lz8DwN/69h/ke3/wxwE4f/Y4b7z+mwG46c63AnDv/d/L8pxcyyZluhkKdhjkqEwnoySwllRtg42HoFVUxpT/WtXU/zvJ6LdlW7ZlW7ZlW7ZlW7ZlW7ZlW7ZlW7ZlW7ZlW14z+bpDdBljKHgucZJQVk6JM6fOEmimr7WxnkfyQ0W5RIsGq6TchRguKvnpzoJPUyPgJc3o1Qs+E1UJEZ5e7eUQm13VCqFGS7tJxLJmwq+qSPajmTj4mvHuJpbxhkQi67iQSPRxtq+EikGCTbbaj2Y0K6klR4UtK6cEDmRdW+PAUFWOk431Hq6SxQWaVeyvWqpTSgJsE9JEsjVjjRJlHZN6XS62GSS0htpu2YdA+Qs2lyOSLHOvBHPpMKKmbZGpB0wqP0loA6aVo2kw6HPpgiC6Is2U3vK6HXz4fwpZb28i5dbbJIq9c3qUuYsSpb50SbLkwXDIJz4uXFzVapV77hUOn1KxxEc+LzwYl0WMwThFXkmmZNOIzU1tBdwdYskQdTKGvQsh8aqSTTZ2cmlTEHD7Kx7jdZn3inI0VUseJY2MvzjXx2i9/nihwIoiZzpByNPrcr2ZhhKmuoYxJUXuELFjROakmBbwNIP4ckvGzostw65k/VJjiDSSHyYJniJBYk/uK0oThjo//WFMoFFynwS/oC2mM84xXM6dEDRb2fO56hrJVNtuP9ej1ZZkgta7fUxHObomdrCivFuumcYty73t2SuZ1LFKk1g+ysF913Lne+6R5znzIjt3iD49/MhDfM/7pLLZV/LL3/mDX+Fbv1Go/KLQpagcJGNj05w8JQif8xdkLsIo5MhV+2XMSkWOvyxcHasrK0xMTDHQsX8txVpLEg7ALXDV9YIQOnns2BZviu/lqBgbydp1CkWKmoHcP1LnrHLsTRU9ijVtn63188UIBm2579VehDciOjZaLrCiY7++GtAvypzfMCMZl/3lGkZRCitBSLOkJK/VMkbr+C+1JZNsogSjKaJoGHNhUwnIK4U885hlruZW+jkyLo0MVnV+EIR5ZtJRu1pzfMaaYq/DKMLTDNHcyjJHjwof3wd+9b/K/V51O69/g6D1jj33MHZK7MYLz12EUGzE/p05kxJvOXp3PgeBIn6O7rjyVXOzFsnzraViE//+P/oB/tvPCHLn1MvP0dG1dP11R3ngAUFxPPus6FQYlHMaAMfzmZhoyrXWWltZJl57sdYSBDGOk+aIPK9YybOkxjE5P042vy+fixmMKtdP4vLkGXmuI+NVRscUmTVQLhrPsHNE7MKxuSFVJf1u+B4KPKA1DLkYyxo/MiF7wEypmLcrXxwETKjNqzV9XLU9bSv3UIoEwQcwUi0zVDJcG6f576115P0oDqhplj4JBxjl2ioXIV2XEY4V/VBzfVazNWykRTYIf055TLOsPbFBiTNNsblDR9Wlk2p2ulVgYlz3slB4bdaWL3Fw31UAnPn9l+m0Zc9emF/h2BlBLxeLNfpt2R+qyinzU//mn/Kz//w/6+2k9LqS0R8Okzw7aRwZ1H5rkdqoZNP7gyGrK6KbhWKRMLw8VPQZtyk22SIeAnLNtYY0UFRUUzPvm4b1BXn+Ud/n/IY88+5CgVHlscrIwEu+y5Tq4KlgSKrzMVLwcwLlXhRzQVFjN2o2eH+xnjcuWOgFjKlt2lEt01A+0iX9TtoLqKv97Ns493/COKapiP21zpZdz+xUGqXCsQTENsLNvF6994bjsxFmqJsEX/emtW7ETW8RMt2TZwQpfNd938/EmtzPV5/6Klff/joAVoaweUkQW52eINrf/safoFgXEt9PPvxHTI0JWm1yajcf+eQHALj71rfyhfu/KGNyrfASXnP7Dl7+ivhHtWqTzfX1V9xwph9Zjtrb4tHxGjjaiSbFCL8XQqP12osRRGCSbDmoBvIyA2NyxKXV/S9quUQbomNV43J8QZ5xT9GnqQ2VFJxCyXcpKJr44mZIqE1+mqUCbSUQ7wYRF2NZZ9crL9fuao2S6tPyIGZUkZqlEY+C7kkXWjKeFccwor/RTYKc+jBI4pzPa+0VfkLGuZ9EllgHfdgZ4GQoQtXXsUKRTtYIILXUFNXhYIgT2d89X9AmR193H2PTstdNzewn1nV1ej3kyQf+GIAj+wVhUvPh1huFC+el808xVm8CcM1197DSEvt1z51vYmxMziQbm/Jbb/3Gq/nsbx/XpyiRsTrZ1Mn5w4zuI4XSGP1BthZiFhYEcVFvTLC+dnFrfl9rMQBWbBSQJn0Smy3UrcqDSkN8yEuzKwT75V4mS0VOLosu7S0UaKgtyLiPKgUPV5GQy72IQAnmR4o+Q9XNThDRV76ya7WCZEepQkmJ/gbGbtm8kkNRm5gttBVtE0T46h914zQn8m4PQkqK3m8rss9xHCJFW5nU5Ct6MBjmPLgKQKXqugRuNkSWqiv3MFIp5ORcvs5dUCzSU26jRrPB3OJ5uceFHnEg97anlPn4Hne9+ZsAuP+Jj5Ho+Hklh5L61cNeL/crIl1zB6+pc/75bFakWgJEf1I956ZZgx6b4CjPsE0T+oqOSuMg//vlkDSF9bUV1lbF1zt3cZG2crBOjE+wrL5eoufmr16MuaMoNn1Xvcq5VXk94/uM1bdQWACVgoPRyp+VbkSUyrPWCz59nd9OGHNR9/+rx2Ut7qlt7XPrQcKI6mhzrEhFJ3tVWdVtGDFSlvHpxkHOrxzHERVF7m9oRVgKuWFKki0/dDgY5k0OMh+x6nk5D7NjoKp2yXMcUL/K132lk0T0M9o+Ywi0euH8sXVCRbn6vjZ4Kbo8/rhU6Nz7pnv43Z/7UwAGhPzmh8XH7rRaOaKrphUnf/CRD/ANd3y/3qNHqlVl5UqdQJtgbW1ufs6Bbtwid98jPv+XHnwQ1/zVlRVfd4Euz/eZ2rGT+UsXKVUyQleXrpZQ4fpbbSi01Mx4Fle9mvEdFTY0iNFKIgIlPPR0YysUHfZOyHUj67LWEcd8fTDMO82F5ZT+igzuiXFxUq+fmKKqEMRCYllQGPTK4mbeKXF0XOH8g63uJTuLxZxs3nMMXV18A3VY7NDiq2dmagZHN/xKoUC5osEP7dbgegEj2tmiEwTU1bmPu0PqemheU+d/Nkm4Vkn7L7DCelc2/0LU5Id/6HvkGhuyWL/80iXKWsJw8213cV67L83Nn6OzKQppnQG+dq48d07Iw2+57gg794pDe/Tqm5nSA2vRd+h2xbA+/JA4effdezuRQilXen0OHdwPQBIPufPuOwH47Mcf47WWaqXE0VsP88zzZxkOMxJONy8BqJSS3GnvR1vd1qYn5LmWCg6xQpNb7lZVU+ZcVne4BGoMB+sJjRndLKuGmpa0zJmIRgY5Vi97cn8BkyqZ+Nwyc1oeMFEvcHZddKAxIZ8tjR7i0I2yOb/42Qeo1ERfxtwix5bkkNqO5LOF1M1LOlzfYJVMuB8leJ6M/0ChuaHrMFKR+6qWythQ9CEyATfd8Q0ArK0LQeep9jo7tCPUV869wMlFLTEcwLW7mgCsLypB9YFRdqou7Ju+jje/XkgKD+47xEc/LZ2rrr3uRl44Jp0377jp7QA8+PCXKOgG0WjsyIPbjtnMuypmm2mxWOClY6KHwyBm714pY1xbW+XixTni4eVg6AVrXMCwuKTO9MgYvbVL+qYl1Xu2Wec+A4kGUpOKT6oQe1t3SNQ5ycq5vJKhoOTvk7ViThw5v9jb6oLpW2q6rs93xQZdURqjWZG5GfEsAy3L6C53aOmGWdED5novJLNNY0U/J9vsRREb2UauNsqkhotKoNyoF0izjRVDdURLLDfleY3jEqyJrpjRXaS6JnZMToEnkO0bjspBsLr3ShYvSKORjz/0Bb70hMCid++a4pYb5VDQHJFgxKXOCrvrk/n4u9oGbm7QYka78gHsL8r8/+S//xEAFlY7NKZkTC6cPca73yXNHn7919/PDUfvkvmIZEwfe+yxHJpfKZfZ2BCbbxlcjiZUW2LBpAmO5+UlGzaJcTRQkSRuHqhMdV9IBhBpENGtu3h6WOiWE6KWBrU1wVEsGQrqkO+cqhBsaodck9BQEtCFdMiU7msXdI89NNXEV+e9YVLW+1oquN6jqwGDunb27IYpqi7sapRz3Uuspat2Nd/rQgg0CeUWHSo9tcGjHlMzWgq4Jvq0PgiZ0rKBuX5AWetcfN9nsy96WK41Abjpja/nj35bAgtJcasLsmFIkgrhc1N1pbznIB/84G8AsHfyMLGWqH/qkx/hdffcruNWZHVTAuehbGN85amv4GtyK2qFaB8DGo0RWqv6H4nYYq84SVcjicYxWKvk52EsJfSXpe+i1dK2FKPFkWkS42j3U9IEEnUHHVlDhUYBV13nymiBjY4mE72YSMe4qM6yXzA42tBntFTMSW9DmzCmQdGlVsC0lpO+vNoCYHezQdOVvxVdQ+CqLRwOOaFdF8e19G0ziHD04LWrUszJw6M0ZV33rE11yKOBxckSV4mloOWqlYpPtyfPH6mubgxTmppMWItC9mrXxJFanR/7J/8NgNnTD+s49jj5nDj1D730VV48L4mg/uaQ266/AoDzuu/82v/8fapaBnb3G+7hwx+ShhZvfMt9NNVmPffiE1sdlQeauBwEpBo02bnjAMFAXg8HPXLdyAIpJsHNuq+FG5S1ecIwGuRNHiLEbXwAAQAASURBVC6LaIxd+OeT/G+5QUxf0YVFD2dpaIlV98Z2lGnpYbBjLaEmootKFVIsOKjbTN3z8yRLGCWMFbXsNQmY0gPhGQ047BkbwVFf3k8tHW0L3Vnusql73bQG9/uOYU3vcars5wffhDQvw23bLX3KYosV3yXNIhGOyY8b3bzjrMuU2qOVOMJRp7Dsu5TLcsib0cZNcX2EZNAC4Bd/8z8zr+W4F88tcmCfPJvvy/rYefgod7xO9qbV3hqH9oi+7T+4h5WvavMkJ+X4iecAqJVEF0aqNdKynkH8Okb3kk5rgzQtbU0XYEmw2lW9VqsTqD9iul28wiixJs9fUzEOXqHIqwqMjEuSZjbSw6iNGGj3xUrDwWiTg/JYgVjXdCtOSIYZXYLuc77Jg5+bQzcPDGEto1ry2inEjGoy+FIkc1Dzi4yN6xkzTVndkH0umh/Q0gDonhG5r9CSnyUbvpsnwKoVl1B1d6i2tLU5zDvJNkp+7o9jHJyS6nlW7phaRtU29dyUelm7wBa8nGploDo82x9y71WSjH727EtEaisc1+GKg0qwrgT9Z9a6fPX9Pw/AldfuZdf0QQAWVs8TOJrwKDo4WSJNpyVNU3xtVBN2SnmQxRqDyQLeWUTYuKTqixjXJxl287/n3Sdec7E4booTJ/haPri+voxRBQ+CAQUn2/OyoI/LapaLrrv4Gkw0RR+vrb6u6uZI3cs7sm4OwryEMHVSmqpLG0nEmPomsz0NmhUb+Drn5cQQ6rhszPVo67lzVP32FPLu1VNlH6t+d2IsLW0E1c5KXIM4b3xV8d2c4iE1UChnNEWZLqWMZ3vxMKSi9+P7LlZtVNZB9lIQcjBrPlQyWAVHuK7LdVdIsLmjvv3J1S6JFcqQYy8d45lnpJnT0dtuUNoPuO+uu/n0Vz8KwDtu/VYAfuuRP8V44u/9w3/wH/md31K/68AhTmljuszvNlhqmgzpdwc8/CWhPvELxVc01Pjasl26uC3bsi3bsi3bsi3bsi3bsi3bsi3bsi3bsi1/I+TrDtEVhTGzs6u4ToneIMt8pjnkVWDUEsHMsnimFPKYtt9NAoc1zQrPTJWoKBJiVDMwa+2QQzsFYXBkusq8tkDvDhNqWjZYGkQ4DfleUyPs80GPQ7HEDX0D00qe2Co6eaanlZVSJiYvP5lLBnmr7tTaPPudIfZS1xAq4msYp2jym0oJRjSDbAqaPbAOLS1hqtRd0qH8XqXgU1Ok17ObksFOsKxppDiyDlfuPArAlTcdpK4onv66tlHdM8nEjGQEjh97ifPzErG9+ebraHfkuucffIFuS6LXd9wqZYef/sizLF+SiO1LyTGuv14IM8+cepFHHxZywM1NQUd86lMtrj4iKI1zZy/wmc98DoA3vuEujh6V8oHPfpzXXAaDIc+9cBrfiWhOSwR7bX0Jq40OOr2RPEEBGYzd8B8/JkSgNx8p4jYU1rq7yKhmA+qKPFqcDbnyatGna/ZHtDQrHlcsK/q6ZB28iuhOUREYjz69yJu0ocFIXKCiCLMudeJQsmobm/LZXrDJ2ouCshs6hl5f7rPRqNHTbEFGsOuWSjgaAQ+NQ6jIpoLn4GhmwGrmqeQbrKZVXz7xArumBBVz8y1vYu+u/QAkU0L2Wj3xDH4qa6LT2aSu66lY9Ljxulvkfpe32hnf9zaFnn7xEZ49JiVBCxsnc8LK97zrfdz7OkGNnTotGfIvfe4p9u26Qq/bZHGxJWPSbtHriZ5lC2c4DIg1k7xzxxTrirDsdPr4BZ8kvBxQHIMxDmkS4iux96C3jlHUhDXR1utI5sgv+XzkeclGH5z22GzL+vUiw/S0wqbVlqz3A2qard5VLpBqmVNaT+l2ZU4nCiVsnGUytWHC6iY7tSHCaMWhrNnoxTjJyy42tVQ6jFIyYNZ8GDOmyKzWMCJQMtUs0x6ZFF8zpXMbfSZrmh0O0jwTWNJS7NFikYJmZMqllDvvfJv87to6MzPSbODI274dgDjq8dv/XVoNN8fq/K33vQ+ApYWXaWh7bc9Te7059ypE191Hjuavzw/F1p2ZPc6HP/brAPzID/wkAB94/ycpIhj86QOHc3uza+Ywzz8ra9v1lBiXDRJHiZN73byJR5JeDh16tVgstdoIm21Z84WCS6AZYON6Ur4IpErsHuLxxZbMQ7G9iqdZwlG/SlV1Z6wp76+tROzbIxnrg4nLkqI+49QSqtHb06jiabavmmUDOwMKun6MTakpkmcljvNS1mzPG0YOoWYDz65F6C0QxCm6reVo6tBJSMkIxGPiTS3v9R0cHeuBltU0Cz6p6lbNehTVbsSDYQ4w2XOHlMQ+/8Jx+pqpDOM0h+f7BZPrstUv1epF6tPynOefX2ezL6U7canFS8cFKfFt3/x9NLUF/R9+6HcAePrhswRL2hCkVMImitIKXKojGem2lmdVGhSRNd/rJVuEvqmnbdcvD+FzGmalnq8otHWycmSbZ7gTLY92KzWes0r6uhCw0VUExXSNss5Z1qhgECaMKfJqd8MwVN9iGKcMdex31Sp46qeV1T4udfs0da/wwhhPn30jDnNKh5WuktRakxOvn4tiSlrnFqYJPUWeZDbKGotjM72y+E6G4tgCHDjq29WMS5qVORmfW45KKf0dt7wOUvFP9hx+ow6YoTShLdHbn6PbVwRiClNVGYtoWpA0jz39p9THpUT1/kc+Tl0JyD/94Dpd3a9+7If+BR/9yJ8AUFcfYOHlCNvSfbf9PP/u3/8cAP/tv/wcsZY8ra+t6f2kOcjLOEW8gvhpTuQSRpexWYa1WhrjkNdbGcOW7rr5a6v2yiHl/vOCPLqyVqen5VD7xioU1T/J0H/9MGWiLq/3j1dyP2aYpASqpztKlfzZa4qIX2j3KGTVkxY89Qc2gwirCMCLa4JYatZKuc8zCCN83QvDNEF/jqwKK3UsriKou1FK1ivKcRwKWaWHou4rjkugJW9FxyXOGiEkLnMXBQl667f/KADXX3EHIPrd7vWZnpTmBcXUZ+mioAVrqje+7/CRT/++vO9V+dwj0pyp+mKJhQWhDZkY3cmRqwXVUy6KLvzBf/xjbE/Rj1WLl1WW2epW2amWJNoUrD5dv7eJq02FgmFLbdNlQJvalDgYMNLwCNV/zuhPAKEX0bkruOKjFwqGPzkt+/vhxggd9Xn3NcsUdS03M10KUib0rLR/zNBXhHzibCFYJoslHN0XKorM6SYxA91XfQzT6rudN12quves9GTuHM/Pq4bWBiF+RuLuSLUEwKY28Eiwua51wxhPz3+OgaLa1Z6uqUbZx9HGXG4Moe61hcjgaLlZb2xcnzfgzJxUUkTWYvXMMFotUlW7axXMVKn4+HpumZubxy3q+aPq5CVvQZDg6phkFBQbcylhT8sVHS8nTQfys0KGpLOWrWYncQTqsxF1SWKXyyFpKg0mgkGXiu5zSRrk5XvN0XE6i2KD6toobdBr87z6MyOtIWst2eeKO+qU1IfOdKk7TJlSROihiQod9btDmxKqXZoql3O7kpUrrvYGlBT66QBumjXgidCPsK6NMUrFArGiGfthRElR98M4Zqi2NMriBM4WWqkfpxRMNgdODprrZY2DikUcnecaXq5LSWrw9ax0XM/jjuuypk0D6sVS/rvj9TIV/UWjyNpy2Wdyj9itz37uz3AVZfvI05/AUwL+v/3dP8ZDD4uPHSDnwP/yr3+VJJRx/a//6V9zx51yJrx44dJWPEf9sjQKCfSz1ZExej2x4UkSvaoRwteSbUTXtmzLtmzLtmzLtmzLtmzLtmzLtmzLtmzLtvyNkK87RBeAcSxjO3awtiIRfYuXt6sWdJe8yhJadgVeOCdRxH1TDUY1IjsIEgr64Sv2CCrgy6dmWVzPIqse00rgu9/z8jaxhbJHpNHy/doieWNzSF9RQFXfMKvcXsWKy3qWjVJeC8cjjzA7jlHOLuGIzdpjZ0SqBcfLw5FF4xJqhLxR8zl7SZ5p74xkXbpxSKMo9bM+KSVFIDVHa6xqe/XrxuT9hU6PDc1WjO9ocN0Vh+V1ySHSzNSG1hf7QcSFs5IpWFic59573wzA0y/cj6uR4LWNNeo1yWQuLggCZ3pPgReelWt1+30+9/n75Tk8GBmR+zh/7qxOkmWoCLSrjhxmXAk1z549y4MPPsrlktSmDAY9JicnWFsR1ESpPk29JhHl9dV1lPYJjGa/SOj0NCKflDk4oegG1yFSnrJdZbn/z50+zfSEZnodqI5o/bdN8wyIg2FqryAEwlXlz7JbmSfXiznXkgh2IWzjjwqKqr0upIq9lQsEoWYLDLQULXTp/EqOrMlQWof2HWCguuD5Li+fEJJdp+DQV56TLEOZYkBRiq5jiZSA2bEphRGZ69WHJEq/f2ovB/YK8W530GJ2XRBmaavNqupDvSk8AF/5wsf4rh/6v/UZAl58Vkh8f+3nfpd/+1//LwCCOGYQyH2+7aZ3AND86b38s3/8nwDYWN1gQ0l6rbUMh1tou+z/U82wrKyuM9D25Z7rkCSGV8D0XlMxxmAcl7UV4aOq1nzCDHmapqRK9J8hqZJeyvwFec5mvcGeCclYBkHI2qKsh/teL2vzkdNnqSkSwjEuSqPEnskKF2J5vl6aYDVDWFW0aaHg4Oma9nyXi9r4oNLwuKQ8OGlG1pymWM1GjzR95hUhalJw9O/VpmZWcIiUSH/frlFCJSaqeD6eppNKah+MYyiXtObfKfPg578AwE/99H/gy098BoCP/fefBWDndXewTwnBz51/hvnhszq4a6z1ngag0RVUxcLiJZbXZZxuvO4mpjL+BWB/SXjg9l+xgzf/E0FkLA0ko373vbfwJ38gnDk333wrX31CEKb/6B/+FD/6o/8QgNtuv0N+q3E3X/ic6Lm1To7+GRups7q0wWUTA45r6A+GeWYsSgJczXonqcUpaXY1aysdRlxYERTSNxyYoRvKmt3oDWmo/do7I3x+j568wI62EtS7HqOKQnUchw1F+HWShEj307GmIAS8zoB+KHPtGsuy8j66ZYe1lnwva7YSxRZHdWCkWWNTjWmS2BxYZJVXqVCu0VdC1pLxiDTrWan6zC8KAipDpvbjFEdRCoM4yQnx+2HEfm2aceF50ZVSsylcFkC16NGsZg4C1Ouyd25uyH1/6zveypdfPA9ArVxjckoQOdc2buDhL8v+5fqWF194BoC68oRedd0O2ssyJlEQYjV769cajI5LtjOK1CamKb5f1Xlr54S/2BRrPS4PogthqzUJuUPhu/m+QBqB8m0Z/f3WSyGnSjIu15Z8ZkblnvvDGJvINfZMC5rgyYuzTFS1dbnv5Aj51MKaIsGCOCVQRMikop9sPyBRPyU1EQvqC5VqDnNriupQnydOLEW1f0XfoaUZ5zQVfZJryFccHBJ9tiJu7k9Viz6xNm7JEBihZ1EVZJDEuEZ+98qrrmZ1WZAyp058GoBr7nobw1jG6drD17Op3KYNp0JtSuzbO2//QQBuWjrNmWX5rXJlirJmuntph5IiEDudNjfeeBSAC9pQZdf+KqfXlQNoz34efFAa+gyHMeGgp9cTlPhg2CdJt8oANpVo2ThjFJR3Mbws/OEG8BQJlKF8XF7RnWTrtfrmaeixelF5sq6K2a2oyCBO84nbv1P06amL80zVlbDagxFFpjaMYVXtzSBOSPQ3dla1OUlvSDsjvU5TegrJKldd5tfltx01POuDgIqiEgqekxM8Wwtx9kj6CMbZQrp41iHOUO8FJz96lPVF7GyhCY0DI25Fh8fiNeS8cP5x4ZjpLM3T78j93nnLPXzhUUFpNbwiR6+V/evSvMzv4rkX8BriY8Vpm53a3CBw1tm3R3yrkUaTY8fEn1pbln1gejqhkihq+sojPPLos/KcwOSE6NHSsvgrNrE0mnKPnTYkyvNmMFQqVXrh5UHiGMcwiGIaVTkXtLoBeXeAJMk5hFKdkGDNZU3fvqYZMaV2fJiklDLetXF5juNLy0zq/uD4PuNexuFscs7iXpKSquuQofELkaWvFQ8Vz2FT0V8H9zV45pQ271HdHwwGVHRf9lzDxjBbk+Q+uKsorzQ29PT9su9mLjZewc25mTzdE4ZJylC5WqM0ybmmKLhsKuqttCrozne+57s4d+4cAC899zCmovav5OS8rUtr8jy76yWenlVUqGMwyi/mFtwcJW4ck6PcMvtYG01pr6vtfsVZW+Fb+jJfNPkcOl4Bm/N5jQgPMpeht4FNSaKAnTsnWV4V1OzEjjFabfGxF5fXct+/q+egkldkWblB903vwiq6qx/EuGofZqbkvHNscYkp5bUrVUr4+d5lWNWKrTBJiHVgsn3ODSJC5Qt0bcqqNmipVDzmWspzrXO7FvQYV6R0ueDSUT64OH1FxZc+bpim+KoraWzz/bVQ2OJiznRpYFMC1aUgTKlp0wHX92jrRFyn6MDFQZ+uoiRHYp8RRU+Pe2VKyh/Z0rWzs1ZgXc8UBw7s4ejNwmVanSiyqdyJ5VKJvbvEZ19R1NjkTof2ij6P43HhgsQY+r0uqfqXRuFuBggC2fviJKGoqMtmc4rVZYkDBX9J05Wvy0CXxSEMehi9/TSJ8g4vYlN0cWWwfGMZUTL1N9+6m0e/KoedUrpFxvvirMIZi4W868iuZoVYr2Edhwkt42mvdDiwQxR/TZXU6fbYVPj8xThhoEZzbmWAr50pso4Xxoe2eh/r/ZCqktEm8Su6iyhsO0ohVu0eKblMjin5YZJS0GBbVj5gQ0NZfFEKXolxJZUdhn0aTVHgOe0iVRibojoQLZsqpgRK/rzvxjdQ0UDKjd/yXgC+cuIZzl8QJ/0n/vY/yufhxKVneeF5cfhnpg5S1q4kD35KiOQefWyNdlsMyFhtBydflqDK5voyK3oYyxZ3oeATDGWxHHvxBNdcdwSAF144Ti1zYi6HWEsaxbiOg6/lnaONIgPtQBWGfRyFb6fpluN9aJ84ta+/boRVhZ6XkiTXpyfOiY55vuGlc3oYNjA5ocS7vkNdu+NVfctMSTblC4jxTdtdVsoaJBwMuOJWMR6LvQEby7JBeQp1racOA13lYcVF7amQ8aqHn3X7m52/QKABtIP7r+GG668H4NSp4zmh+YiWAVR9nyDURgmux1RD9Oz8iWdpaxlMYULKGUvNUdJISUxtnx/+1u+X37j2Jh794scA+NMnZc69sRLLyy35rYlxTs2LvvzMz/4M1+v9/NA7/jEbCJHhb/3Zfwfg6n33sVPLQkp79/L4V36dbGDf8tY3AfDlL0vDAseBbkfup1L1CJR0v1gq0+/38033tZbUWkgTrJJNDnuQ12jBVrcChaYnsWXXjMz9W4/u4NgZCbaWrZt3EvvkAzI+Y5MlStpowCshJOXARLHI3h1yjTNrXfZNSZB1U0tjo81WXj6ySsRAm1fMd4f42k3mgB7Yh/0kP0h00oSCNsJIbIqrDlCggbv6aHErqTAcUKuJ09wb9Ak1uF/T4Nb+XVOMawOHHdN7uOGgBLLqu8dJvqK2uykBgUFieeALEgi7/obr+ZH3/RO5twuPsKhDGTkSgHjjvW9lpa92zCmwoutnktqr5uXzz8gB4sRLEnT9pZ//Pe66+y0AHD9+nlJF9HhpeSknRL5wVuzV6uoKIPbYOAmBlis5TspWOfNlEAtpDJEd5p3yPM/ksHZMMZ9Xt6kOQaHP63fJ2OyccDm5oMGiyKGkpVEvzMq6GikVCJQEemzUI9ASCSdx2NmU8YtbPXbvlDXX09KLoNWhq47xRpyQaIOE5Y0gLzHcrYfUkutjynJ4ObEwmx8GjWNyIldXy2e6g17uwMVJQlHJVM+e6zA5qntA1tmqHedNPhp+iaIeaI3v8tJxKT012omtXqtS0rKTYgLFgTzn644e5dSsHAyue8u7Afjwpx5nXBtlzC5dYG1NdGv/1Xvx9d5X5loMtKvk5KgEoZ9//ClSuxVkt+qbdDp9olj2VlcDjYPeAFOTezPGCAs/Qjzs+yXi5HKUxKoy+W5ujww+aMAdvwK652WNMryRlN2lJgBX72zy0knVm7LJy22ePCl+QbnmE+peUXQNQ7WvFddjakT9tM6QmWm5Xqer+0c8zMume6SgpcknN3tkftwOXwmYaw5rqoNz/SENDcy5GNwsaqqlP4GFSO8nSWOquqaj1DKp3YV7mhAq+V5+yB2v7uHWa6TU3iPhkUeEL2GxIw77iinx9GMSpLjp6DXs0w5tbjBkI2gB8OVnpPmI8Rqksf7WIGRlXa4xCNdYWZexvHh6ll175QDw8U9KWdq5Uy3QDp2b7Q4PfUmI8Ae9TfJ2xXkQqZD7vl6hlJcEpfGArfaSl0GMg+MXSZPuVgLQxlvBCdK8oY/R5IONQ668qgnAW6/Zw9nz4sekQZonbR4/LoHFxmgx9z2KRTcn8vZSw0Rd9qq0N2RaE7c9JWk2gwE9tU2bcYrRUp2l1T5G19UNuld6GFb0MDc/DBhRHXEslHR4XdWxfmwJtWzUNTE1LV83GGIl+G7oXlovFRloECKxLo1SVtqYYtXH+qoSxr/tqmv5/IdEx/ZM1zlcF33yU4eFZfEb0+o1AHTWVxlRm3njLbfxxOOPyO+OV1lcPg/A4b1X8cwz0rwl69R75uUhZSN71pNPPketLvv06soiURZoUMqMUsnS0864xnG0XBEshl5nbauj3msqBotLOByyofbWOn5eVSm2Kwtka9DHDrn1gATvbtxb4/hpCdS5MVhPPvP8WTnTjU+UiVQnyiWPQJ2WonWYUl1aHAzZOd4EYKjk3Z1OS5sLwaVBkpc3nzrfI9Z9d48GMsaKhjVNtl7qDRjTBi5xYqllJdLaEGi5HWAybprYUlO984yTl9VnDaVsaoizObBOnmzs9gOGTkZBIT7Pr/72r1FS3//AdI2GL8/W9B021F9/fl7+bbVbuQ88NTNFpyP6EW3lO+h1IuqNrPxY7mtlMcY6WfIzn6AtewRbnQ3MFol7+gqfGGOwmsR+rSULty0uruVzt3hplVJDE0uuS+6zqZ5EJuTolPiek0UP7dlD1XUp6P747Fnd+0ZK+dz7nqGfBSmtYVL39KQXsHNKbEwWS3AHAwZaVr8RJqQaOFppB7gaTN7XkO+PFAucWZXxOdfp58T2DoaalsxmcVR8jyTJSPUtDY1zYAx93d+qGuSsFvy8XNwteNT17wkwiLXBhzYL6iUJvq6TquPlpZhlB7pq256ZlfNVtVJhbEz8xTe+5Z10ugoU8qt0lGvp+IvP8shXpZv5/erbz52PaOr+2W4F3HTTURlLv8THPypJ6C2eARfyJjohjYaccdZWFwg1KPaXyXbp4rZsy7Zsy7Zsy7Zsy7Zsy7Zsy7Zsy7Zsy7b8jZCvS0SXMZZ2q58TumPZwhp7jtTZkEVvJUNz+rRkKR6bnCPyNTsUQzE1+SUAWlHE3kkl8/Ucqhp5vbQ5oKZIiErRJYtlZ8iUXhpSy9jfHIOj0P5aoQAaye0okqZoHaIMVl9yMYF81pYTfI1CFzX7bnuQ2Kwd9tYz+Y6hrNDU5TkJ4++dGSE2WgYSDOhpW1q/ViRM5TPNMYmgJuVpzl2SMbltz1F6JUEBJF6Dni/orzF9Rt8tM9Co6bHlC1wzJSTp773rvfiKeHvsK5/Hb8m1M/hxZ+UCbiyR8ovnz+boj337DlCvy2eWlyRSXqnWuPdeaZ38+c8/wIP3PwjANdddw7EXX+CyiZUWpvOXZtl7QGDhtVpFYLlAvT6eQ06HGg1PgNNnJPJ9/IoNRvaJNpQcg6dZzIKi+Dq9kGpRkYVYFpUIdZjaLOHJcDNm9qJkey8uteSzJmWPoiJMAEuKODw7dxGjtUSeZtdGaj5eXUkq/VLeQnjghKRKTJ6htdMoyol5L517kapmy+ulBtMzgmo5rG2rX3zsgRwpNuY7bGYknuEal559CoDb3yBoj0q9TrkpGbbpNOb8qWMAXDh9nCvvFeLx22NByJybXeT4Sck6bnRXiH3JXtSrNdoKrf6dP3s/73rXd8oUKZLi7/69H+VHf1gQhbfc9hZ++39KO1qD5cEvflEeUNfPrp3TXH+dND94/PEnc4LMfq/76uzTaypWy9pMrutxPMQogsDG/XwiUm0I4NV85i9IudbLSwWGrvzdSciJQD21FReXBoxPyFg0vDKeloS1SOgGiixNUxy1i0tqmwZuSE3LWGIjqC2AiWaZdKBQZs2UFiseoZZS9DsJNU3vWVeg0wCFrPIp6zEPeJ7D6pKWnZXdHEHY1Gzm29/6zRRGJOvTX5hj393fB8ClF/+U8+cki3/LvffJ39oD/v4/+j/lfueOMzIq6M6R0SNcOvWnACwuSpnPrYevY3dFkGLn43nGvJ1/YVYeeunTzMwISvU3/4egAG+87o6cGLvbXuOaa4S4/KVjZ/Is0tK8IDNw/XxPsRa8kmRKB90QuIxoU2MwXglsmpeIx3Gi5W2AbyWFDWSQlOpYhc+9LMjJYnUUd0SJ1xMnbxbR64jt2ggTRotbpSgZofNyK8TNMPKpJVHm09kFQWAMbZzbEMczRLq/lV0v30gHihSLTEjBFxvipILcBRhGAY6igqwSjO/cUWNhXjLLiYVKllpODL6ixopaOrMRRjkpddVL6WuWMTUpqd77NYfFnu+99hpefk7sUcMrMNT1ce9b3836FyXLWK/IPO7bd5ALi/LZpfVZAiu2qb1ZZ/duKQ/648/8Ut7MYrImf+usbebt1f2SQzyUNb9rz048V8mIW7KuhsFqXmptjIurpU0pAUkabPk1r7V4rtglRfpYmwrKCzVXWlqXrWm/6vJyS+zxeBoTq/8zSExOmlxyssx0yJgi8IrGzddQO4mJMt/MprkuzS0KWsUWUsYq2f3YnPy74hTyNGxWghgnllCzur7j5OVukZPi6j1nDYjKxmEYZplug1FEQqXskpblelUtNVrpBQwdLVtbXaQyJtn4Vm81b2xw4YLoxI2vexd3v/WbZDiXXqa8U/a8J7/8MP16E4Dv+b6/B8C//Jl/SFVt3kZ/kYKWwdx9x9s4c17u85EvfYqrOzcDsGunoAOfCJ8gQ5C2Wxv4vlyj3hjNkRfFouzbQbeDq2sqDvuvqN0cycs5L4vYhHS4iSmMYEPxXXALebMAa1yMkk9npcnGtxx7qQXA0ekx+pmv6pITvXs6j3PrQya0KVIcmXzL3gzjvFlKGqUkik5cWpPrRibJ0WGpTbGK4iq7Xg4OaGkpUM33iHSCPUz+2cRN8/NAtpeWfJcgzMr4wCiyxrMOffUVy7r+g8jS0/29biw95VBJXUtrUcps7nrrNwOwY8durjl6kzzbcw/mjTtW+zGFHVqaqOXx4+NNPPUlHnj4M7R6YucPXP1GJifF915YusRb3ixUD8cV2fpI+zFGtIyvN+zTbiuNg19gQ5GF2VFwOAiwGVLHWBz1D7GJoAcvR1k1KVKG4JB6WamSSxorzYNrMUq8rswPVKYrPH9e9G7GTekpWqiUSKMSAFdtwbm1Ps2d2sQmdvCyBjxRnNsYG6akaptWVZe6pPle4RVcirp+N7oJZAh5LcserfiEek4reG6OlEuchDirMNKnrRS83P67npO/EyUpZI3J1O4EqSXOziKOQ0/3NtcYQkWpZaijnjG0Qy0nK5VZVt89cAwn1mQfu+F6aew1jEIGig4N0x6jO2X/u3h+DlS367VCbkM89cGjoYdJxR4ZgS6rbJUubqE6nfxt4zgYR/cXm+ZNZ3iNSxeNMbiOwTFeXpYfxQlpKDpfb47R2pQzWNpT+zPm8IXjsi7vnRojVBvW6kbMlNS/03Pu2fUeU1ppYROT7zu9KMmGTUptdZ7W1kRHA2IKmWn2t6iJSo6fI+vWBlvI7qwBnWsMsX64UCQvmc5I7pMkxVdfO44SQq0qS7F5E5iGNrMaRJaelsaOuB593ZcdD+LsPJIR+FtLpJvxZLHIstIKtZKYMy3RpUDLekvlEt2h7Ev/9f3/mu/8ju8H4C3f8F1YK2P9wINfYHp8PwDHl6Taafeuq9i/T/RxMAi45x5pAvPJT38RVyujsjiBMZZI53DY77O0JPNFmmKTv9pf+joMdFlskmBcL1+QxnWxecDKwUG5GyKtifV8KjV5/wpT4nxRO/SEMR21SEV1hEaqJR48Iw79O0oFpl0tfygVaKsiDgYhjiOHur4qw6ZJ0OoohkGE1UBH1fEJyQIkW45HX7GHNdcnSLNSAie3EZ0VXYQjHpEq/e5ag45CtOs1jxHtmtHRMqH2MKKgBwxb9egm2gXx+vfkpRuLq7KxffrZp7F6ePrIk6f59m85CsBKP2XuSw/K771HINO3XHE1t1whvCfrwNOLsoG2Nk9z1SEJiqytLjPQDiQXXtbOKFWXzobCXB0HTxfkVdffyYXTzwJQ7oiTPz4xTkvrpOMozCHTp0+dIokykqzLIMYotN6yoosnSafod6WEbLPdwVF+HF8DmTYk72BVWC3jzcjEx27KpnIhJXowLhU8ntIg1h1X7SRWHjffSenkgbOUxQ0xCFl9fOQZTq5IzXKzMUGsBtUkNudpK+kBoddNWNVNbbri4ClU3h1steRoaNBzM0mIlT/i0MQUi0vK6UHK2fMnAbg4J+VdI3gU8k3L5sFOUypQTOQ5vvp5gd0Xzs3ybd8swYsj3/IPuXhS+HHuedPb+NSf/REAS30Zx4MHDrKhddo33XQtL52TcsN2e4mSlrqttyPOnhVHbkPruGf2zPC2t78LgG9793fn3AdpuhXnNnoQGoYRvjppqU3Z2oTNKzbnyyTWvoK7ICYzs47nkSb5jcrbYQh6gIwWB5RG1bm3CQuryvmnB9OZiRpfVl169/VViplT6EJroN0aPcPCpqz7dbV/YRVCLR/pDzssKZfWVKGal0XXtLtMkqRECumuOx5x5ug5LmrSKBl1etKUvnY8mfKquOJLEyQxZQ2slWekLOfLX3mQb37P98j36jHPf0kCTqVqiUIkG6erHAeDTpvWqpQiTO669lVDe8sV75YXV/yFUaffHbK/KQO7wCo7Eef/3mvfwS/9wc8AcPKEBK+G3WVuOSoHgmuuvZa3vEWCbD//3351Cy6dBQH8Uv4blpSG8tNt2iWSDDZ9OXTKWmwcYlwPryB2Mum38+pXa7cCjUlf7Edv2aM8Ivc9HlRY0g43sU1Z13nPSgZ3NWt8/qLYuTd7U5S8rATKoaXwc89YVtQx3NBy+6Gb4uneG4QJoV6v7hdJdf2Rd5IyOOos7hwfZ105GxzH3XL8bea0WSJ16puFCq22esGuZUU7JTc0cFAseoQaeE+xtAN1ZGsVRrRD0sUTYs92H7qKgR4szvQCxke0Q6Nb5e1veKs8WyTr7uLsPBMNKV284dZr+NPP/y4Am90FxuqS+hkbnaK1LHvVpfOyRt1KAU8XiOvUqYzKfb7vfd/DJz/xIQDmLomD57gBia474xRoNLLSUA/clCC4PDw4YotecVi1FqNjn7oWk5U0ZuURqzG++vnFsSI9pRZIfNjUsgirwaKdzRpfvCCG+s6ZMcpZKynf5D5LycCKcqW01W/yS4ZVHYvISRkqT1LDLdLXw2tN9984tARqjyqOlyeKiq6Hq/pY01aN7TQh0LKJKb9KmHXdTFKK2h1yNRKdiROLVqLi18p86KO/B8C1Nxzlin0SZG+tim9w8thTHHte9se7br6JXVMH5PVbG3zlcSnJ+M3f/kW5VsFlhzr3p88fIyrIWjvxe0+xZ1oM2NGb7qGs+9TpYxLwn9q1m+VzypkEhKrb4TDNyxSDfk4cSqJcZRRKeTm7X/AIBpexrFp+WrtTO1t/yMTRTmtARsZn8fG0lHC91csDDpFNaGmQoa573Z7xOp/VcrTX75/Iu4J5RZe1TaWKwLCuSZmu+tCBk+SVScM4ycsNK45PorqTBRyjZCuQUSv4+SHSx83527K9t5Nahmrbxvxyfoj0TYqrJd9LSajvF/OEpzWWmCxgU2RceewGS+dlHJYuYvUg2qntYu2SJHBSr8qErq2su1631+V6TcYGSYfmuFzr6PVH+dz9nwJgeX2e8XFJ/Gxq505TTPNgqeMO8JUyIwojHE//nh9wk7xMKU0sW/xrCTYZcvmcJwtEWD3MurUGabrls9n8tfp36yGlMR3XuE5RzxZRGrOmvnBFbdBEtcznz4ttesvB6bw80HiGbrBFR7K4LrZpU0s+Q9/SUU6jSt1hXX10L3aJ9HxS1bnb6IZsqr9QcT3CLFIVGwaqK3ngtmQYZoE5r0BfA1aea/MgbtfJ/C6HSgZ+cAy+rp9eCrVUbazO10YQ5N//0pkFbr9Rzm+r7U1m1Gf5yX/7y/K3jVXuuloC7F94/rN8/n7ZozqtDQZKiZLYBFd9PUepIBy/nSfP7Sv+X6ZJeelyM2DJbIK15NE7exkdcMcYyqUynV6fSlZWWqmzsia2pNPayCgfMeqjxD0HT7AdjDcstqtBUReWlGu7qXy3O+pV/uykgA6+4dDO/GHdV3BGugZWNZic7ZOhm+ZDFUYJYcZ55hVyXap78huJA8MseO5v8XK7iUuoEzypZ7+AmL7auLLn592uC+4WXc2qngPGi6Ut3bdgdQ9OPI9RLXksabn4Sn+Yc6Q+em6RSeVT7CdxfpasaCluu7OZxy1K9SJPPiOgg8kdY9SrojetzTWuukJ8+ZPHpPT/zJlnOHRIqGo63U3OnBffvL3ZIitTbKu/WK9VGGqcI7WoLwMYg+Nn4AG+pmyXLm7LtmzLtmzLtmzLtmzLtmzLtmzLtmzLtmzL3wj5OkR0GYzrSWlZltl2IMOKGreI1VIA35UIPL5LR8v7ulclDDXTVwAKWhJhNTFfSNO8s9MXzi5x4x4J9R4er7N7VCKYT60ts3eHpDonRuW65+b7dLNshDXsrUkks1Is5MSEnWGWiXKY0azyejukoBF513Uwim8c0U59/SQitgpjtwFFRevMLndy+LSfEdAVwakqDNbEVEeaAJx+8cuMTwj586IikW658a088ZREVqd2HeDhJ74CCNpq7PCtMlYagq6/IlM3Bnz+jMD4z156ATSrPj4+QX8gWe4zJyUCPTN9mJbC0w8fPspXH3sQgMcf/iw33CjR3VMn5FphGHFgv6A/giCgopHg3bt3Mzcvz9RZu8hrLcYYPN+nUi1z8KCU7h0/MUdzRAg7bTIgTrOOJArp9n3Iu7EY1pdkXndMFnIwSEU7063NdXFVUR85PsfUmOjmoR1V3nmHlD185fEFDuyRjMvFC4J0euf3/nPOL0gWau+eXfzRr/0rAJqVCtPaNWxZu4aUXcMeJdVc74V5JyHXODja6cUqWqPoWlKNjM+vL+a6boyDo5mnzYxA0YWiZiwiY9mpXaWivs27sl3Uzpy9557gG976TgAWLm3wwlPSKfNTD32JyRnJQh6+5kp5tjd/B6ttQRZ++SsPMVnfD8Bb3/ImnvmqlDT+yR/+D55/9nEA2hvTAOzfdwW/8Is/B8D58+fysTbGYDQjWdCOOa+/9618+tN/CsBIo87mpugmSEY3jC9T+eJWEktlq2TCxhFOOeuaKH9LjcEoGeVotUwrK12EnPw90cyK00+pKBrhz84scpWWI9y4o8m+EXl9cbnN7mYTgE1F5Ty30qETKmIwSdldFWLOkudT16xMV7N4NdflyinR/UvLg7xEO7QpvupVhszsDUMihfBvEjKl99Bd6xAp2XRjRNb03/mev0dpRJAyBfMcH/3Qb8r3VlepNeXvn3hAui/e+da/xevveaf+8l+ei7mwvsG+MVk712hXT4AaI4SaSX/g2c/x3e/9cQBmz8vzfuTDf8Af/r40OfhHP/kfWNNyhSuvvprOpjTsGA5lzGw8AEWVGGPY3JDPWgJwNSN8OarNDKIojkcwlLVuXD/vJko6JFnXvWNMEVYrfaK2lsXdEBIqUiIZplS0/KCgCAQvTKlo95pPHZvnyqkmAEemGuxuig7MrXfZPSrw8fWu2LnVdsBaR1F4jmGvEtc7RcNESXRr0M0Iaw0DbTxCscCkdjzuDmPSDI2maGzXlCiXFGXjWjzV/ziBKOt4rDrfDrt5d0DPcyllXUyDGOVT5aZ7Xw9AtT5JoSb31VnbzJEZP/Oz/4Jf/Q3JZH/x9z8IwLkL51nfkIztoau+h5lxQfTMLZ/k+ZOCPCU0TE9LSf6XPiFE875To6olre/65u/nztfJHlpvjPP7v/M/AbBZBt7avOtqvVqmpR11kzjB9f3LlPFWdIZNt8jDkyBHZJHGGG3G4mg9ibEu3TkZq/HpiFXVu2BgKSiR7UDRWNVemCNMH7qwylVK+L1/pMIu1Y/F9R47tXNnho4/u9nLUfW+azhQE11LU8N0Tbvy6YQWHcO+in4/ivOyEQEoqx+Xo67jvNQo8hIchdvHFkIt3V1tKZr/Fd2ua7USx449CcDc+VP88i//AQB7r7oRgJX+gD/4vT8E4NTx4wwDQWntmtnJSkcqAQaB6ng3ycuEr7/qZr76kuyJaRIxtyiosEatTlqU5zzxQku+3+6TObfGFMmxEybIS/CrY025VhjQ7+reZmOso35LmjA2IZ9Z1yqP11aswDRsTG6j0xRrMqSil3f/zUuUfUOgnQ/LrptXOjhWuj6DdmBE5ihrCvLQ7Cr7R+W59o6U2aOvFzZ6edOMrJvrhaV+XiroOoYZ1Rff8RhRNEyo71ccl70NGft2EOdluNY3oHuy1RJdayMK6nunXoqXN3l28jqkQYZyJSWyWXmsmyPXiik5QqijpeZ33v6dfOA3BVk8e+YChw9Lif3c/CqmManDKmN29Iab2TEtPurr7rqHtZ7sU8+/+AS7d8ret2t6N7Pz4if/2UfEl3ISQ03X0tLSMq/skunowcfajMS6kHcVNsbBJlp27pXBeDkp+WsrRmDpNs2bSSRhvOW7pharlRIFLTFPQ4egJeusYlLWFcnixEneYCfzu+JBRFnPYJ+/sMx+1ZkDo1XKagtbScLuMd0jlmRMLq5HDFWf3SBkIsiaYnhUVT8C9ZXrnsturf7pRHFePmscI12+AWWMoB+EFBQ1G5IQhZn984mUCH+odmzc9+gqatzz3Zw2YsIrkKiNmFUffL07zOku4sTyrT/wkwBcd+0bODF7FoArp/e+6l+AqeZe3vY2aTz2Td/0t/nJn/xBufc0pFIWvXn8gfV83G1Wb5i6uT2SSgmtJnqVA6yoQmOEAiL/qCKJX+PSxdSSd6sfdGVfHfRDHNX5OIxyWpqCnjFtGLN+Qe9zxiXU/cYtQ72pVSFKz+BGKeWC/O2TZ+a5Wrsx7mtWmCnK9WbXujkCKrNLZxZ7eTmzY8j3OWNdRstZ51d5Bg/DQUWErw/CjDUDt+BQU2RZpLYmHMaEGYVD1aIV+BQKPgVdACuKqPbTOPctKh6UCxm6y9DXMv8FPVOudfp5x80gAV/36CC0OQq2pCT5XqHGvfcIMn5sYoyVjpztlhbOs/um1wGwsd7igx8UNOHTj3X1eYt0u4LYuuKKKxkfl1jLfW94I3OXtHFdS3S72+1is7rlVx6yLPl8/mWyjejalm3Zlm3Zlm3Zlm3Zlm3Zlm3Zlm3Zlm3Zlr8R8nWI6LJS++96W7AIDDnTm43J64K1Zjga9imNS/Tx03M9ju7R7C/SrhjIo6Kr3WEesUyjlNMLki2brBZJFTl15e5RiloXSkZA70NVszR+0ZWaXMAlZbUnWZGsxW2l7hFlVCa+yX87Jc0JLTsZH8ogplDTyGo33eIZKLh4GcmhktK71tJtabZqxOeb7v47cq3VS3kS59KqROZd4zNSkQhqvbaTm24QQsxdu/YxOi3ZoeV1yVbWlcA+k1QvZhNLmkrEulAyLM9L9LWqY+3Zw1Q8edAXn3uCt73rfQDMzb7MFz4j6I09+4TY/o47b8tb0d59z90ce/FFAC6cP4fjXL54rMVgTYGZmT2kaZZFNXQFWIBXKGGUH6Ks7erDzRVQ3oQPv9TlPd+qmQEf/KzkP+N+qLn0VjUbVfVyNOHEVCWvpz58VZNwTdNP+ls///5/yfu++0cBWNu4yOQhbRYwt8ZCSznoFOnjuyYnS/QKDqneW5JYfC2ezrKRBdxch7zEpawZtDBJKWrGJdWHmCpV6CvSJ4xSklCRYsSMaLatpTXd2JQPf0iy38POBjdcKSiugwd3E1cFsfO6W4QHyQc+8YWPAfB33/MjfNvbvkVno8zuHdJW9uGHv8j505KFmpuXlPQ73vRe1jblHt79rd/G73xQUEEGk2fvsoYBH/nQ77N7z34ArjlykHPn5/T1YV4+fZqzxzMS1tdYjKM2KIObkWe6vEIFo/OUUXXZNMGqfn/omTXecVdTPtt0cZTjNyOrXG73uLiq5Kc7i5xfk/U2XS8yURXdrFYLbCpxZKoZbFOyFAaqB8UCiXJwOTZhSTlOMsLoxohPW0k6aw0/R+5hzFYb44rMfcXx2UhEP6rlEigXwI7xBuutFgBnzkojidLEBO15mc/a5AxHrr0dgGNPPMxgXRA0173tbwPw9te/51VDGqfa+nowoFydftV7+8ZGeW5WiaL3XMOzG88BMDYywagj9u3tR7+RD3xEUDUf/8gn5f3yNZwZSMb7j/7oj3n/L/0CAL/wX3+ejY11Xi0uGUu2Wyzh6foa9rdQnslrnJl8pVgbS0YdSOMo1yfSkLwHe6wZ+bSHUX60zy1vcu2YZAAdF9ysRbsiEDrJkHUl000wzCrJ6EStyGhNm1TUCnTCjI9J5n2YDCn7GfG6S5IhFtyUVk/0oat73lS9lHN49bt9xsYFjTFMw5zQ3OqaCIddJiYlQ9pe7eR7s+c5+f61uCq6UvGdHAnZjWJGHblfN7WoqeNp3UP+9s13s3dmPwDr3good2U4GNDryjPferPo466du/nSE7I3Pf/Sk6xtCm9EGPdB94dSsciCcih5uhYKyQg/9vd/AoDPfvYz7NjRlHvrv8z+w4IK29gQZFsUxpQrsqcWiwU6HdlnjRmSRvEWFOG1FONi/IYSBYsuW1vMeZT8UolYOYaM4jiTQYCrTXG+2Bsyo1RQKWCUV7CgHEbdYcCmZo4d13BRdWm0VMCoj1StFgh1IpNsS/egbmXuvJJDqP7CuOOx1pdNOFH/aFetTE/XYZimGae+8HSofoRqd2uVApHuXVFic8SfxeAqyV29piS+m0nObYNXpZjK96ab0/zub/4KACNHbgGg3e2Q8YdcnD3PmCK3v/1d7+M3/vjDANx6650AzC/Mc+rSs/IM8wMG6YZORZpzyl5z9Z08rPxKqdG9tu/k3C/WDpmaEpu3sb6UZ+QH2dgEoZKEZxOjfF5RRDvjMbnc8kpUR6I+lLO1b2X8SjYCRznfHlluc1td/sNa8N2MF1H+2RwM6Shfm+sb1pRkuxF4uOp7lyt+zrGU7aFuyaFslYy86OSInKpxGSp8RCmcaIxU6CkvXWhTEj1PmNwThVhtSc3ziXra3n6LMxzXmHwvz5BXBccT/kSgG6TsUGJlmyZMVWSu3vyu78uH79//rHC6/eOf+DGmxwUB7aZlgljWxQ//vR8B4MWXXqIb6X5bqrDWFb+oXKoRqj7ce9c9fPhPxbeqiKml6R3k7FmxY2ni5RyPGEusz2+Trv4twugkWRJQTlnrbSELX3MxDqZQwfF8Eq0KMZ7FZv64E2CUCytr4mNxcNWPeag74LDuv57r4ma+lU7MwCa0lKPR8x3aav9aQUhNUSm+57Kme1fGh0vBUlNifuMbYr2wkyY5qXdfz2mj5Vruz3fDGFf9Y2PJ7c1Qf7dSLjDU5zDG5I0YLCY/67jK25TEAUbHfWMQM6ln2sTETNTFAD6t5wvXK+Aowvb1972DI9e+Lh/iq/dsod3/vFy19wgvPyK8y51OhyNX7AfgxIlzvOGe7wLgzDGxbbOn+5hcgV7JRZvmJPSvrLTIRM5Dem5Mbc4P9VqLtYLataaAUeJFF0tBUbPGsQyUNyvWucOP8XRBPzfosMuI/g/7MUVF7GeVLxtJn5WW6Inrw5weFJsVnzHlBKuWC/QVNZqjWouGmlFfzIehI++XjMNGX4ng1ZU72KyxohURYfr/Ze+/4yzLrvJu/LtPuLmqbuXqrs5herqnJyeNNJqgLCEhgQCRLZloQIAMGLAxYBsbEC9+ySYjjCwjAQLlMDOarMkzPaF7OufK8dbNJ+33j7XOuTXKP3v6D/jV+nykrrl1695z9tl77bXXep5nJZl7dQ20Uz0uRSiWCj7thmqVJoac+hrfdTI0f6R+yc+5mQh+J0mopP9hE4YVTvb0QqCf5WSIemySaQ5GxATIWG7bJue6mdkZZhcERXph+hyFQY0zaZBIzzIKhTytVc1zWNUyHN7JwrzERI889CATExITjYyMsKqfly9LPNhtd3p7YhKSTjzHK2cdKr6Wd/pnmOgy4DiqKZ1CbN1skRlMBnGLMsFXn0Qn7DVbfMZ1Qi43omxwUhHcxLGMKe70YjOgpQ4pth4tdWSFnMPJRTmFVlP6hIF0B9lcKdDRib7SaWdQSl8n4Uy7Q15hgyXXT5sy4vsebV18xWRdV4VQnHGz280CyyQWMWiArX2yo5miz4BSbEqD4yzNSzA+MTJGv3YEuupOgeB/8NMf47I9ktyaX1hgaVY2wsuvvJZ5Vf/eNjT6lZ9Ayg3BJ9AD8ne97ge45zM/C0B9QRxB3vUZHJTJ2261uHhOhDYvnj+VTdrpaUk47Nu3l6UlOWAePXaClRUJCgcGKqwpTeaSmXFYq7dpqqCzcX1azVTstQfvjgLd9KzBKIR062QZb02TCP0GozDlFD7vDDhce0AW6xMvrGTdD4+frtNf1S49Qcy00oL61gk6fvZjfwdAwbQoj2oSqhBlwUmuqAe9doyvweRAIZdqsTJeKdDV+dtYSxMSOcoaGC+sdcj16T25lpzO3xE9PAeOR1GjpSjsZBDRVrOdNXca1r+JBobYtUOSW/sPXkOuLetj++VXsnPHNXpFKhK9OJs1RTi7eoLPPyQHy8GhPgZ0jdz2yldiY9mcFxZlE374sc9z5cHXAbBlyw5GRtMDwDIZvUN32QMHDvCaO++U77s4zc2vkITq+FiV4yePc8mCNhL1wT0R/1Q1OQo6+JogSFLhZ9cBX37evX2QYtphrG2yRGbagcXEsFUDs/lWTF4Pb62OYS7swbQDnWRlbUzhBBZfYe6TlQKRBlH1dpd22m1FD6PnG61eB6zIoaSw6iCwWZKuUZMZNjZRIgo0CGu06dsstAvfidlSkfHed5lQlKP6MlNzMifOnv4iV14pQdhT936GusK7X3hADnzf9tYfpBGuAlDxqzz68P0AXH7tLaSy8OvB8f+ogf3wv9nCQw88CMBPvP0nst/HBHz+018EYHBArvHIc8dAg+dzp8/wYz/xPgBWVxbpV8p3QzucJYnNpksSR9z2mtsAuOtznyJJOe+XwoyDlysQxwlWlTYdz+1N3ZxPkh546xrdey6uzqfNFRc/hZkXPVy91LrSxnKOy8ERWd9PTq9m3aFiHGraGMD1DdM18b8VHXXfMxgNHUYG/KyAEwa9wD8VCp9utslpQqvke6yqSKvBkOh80piPXN6hoYLA3dCSaKBVcB3KBS1OaV69VPbodmQthU5AUxPcvuOwZavQMmKlUX7843/HhfNKFesb4IqdIoA6u7LCf/ilfwfAt73rh2VsGgG+iuff/9Sn2TQhBYa8l8fTA6DBMjObJiV8fRQOBfWVnU6Hz35KmnTcdMsd7N4pa+GZx1NKTUSiCeKV5VkwOqudIp7TIW14+bKb0WY3JtV8CEGTWmGYZPSxOOvsYSgMyrjfvHOU1TOSZIxx8LShSRofYWGXdgk+utrKMvntCExLRaM9mNME2BZNpC77XcK6fO/mgUKWyOk0AwJN1Bj1c9PtTuaPinmXTpqdiska+qSFncRxKGkDnuVGh1qUSifb7NpMmkjNeVi959rqHN/+9u8B4MgzD5PT4tbminzv/Q89w+xM2sDFx43l9ZnFBnfeKd2FH3tCqI+tdpPZeUlGuPkpJsYliVEuV1jUTnqf/uSHOXdK/GJ9JRVvz6V8TBzHUFdB3jC0FDSJ3adx1dL8TE+0e123TuNAnFxKwoYB44GNX7qV6sJPghhf45O0syHW4mpieLDPT5lMeLGL5jdppFwmC9srMp+O11rkdH8KSw41nU/5nMNUXfa9fic94JmsMDlaymf7RNxJQLtfp1vzhUY7k3moFHO0U0p4bOiqo8nrGSNxDQU9ia7Uu1S06J1ztAMoMKAHZJPzKChVtlB0aGontLzrQkEoS32mN2iPP/6QXO+mkayBVjvpoo+aF7Tr+GX7D/LQUw8AMFub4ZFHZU/LF118TfQHgcsDDzwDQGtV/r4Tz5LoczGOQ7p7GpOsy6mn3XvpUYR0fwRI2ivg5V8yx142s5L4SACvLMUpmwRZ4wXWiU/Huo6N61AalAE6ONaHWZTihcFmgtvpXIqtZUI7Cp+td+jvU/H/TkJX5WSKBY85bboyoJMmbEQk+ln9npPWtoltTCcVsdf3TjVa5DTuqhR9GmmMbh3ppgjZEA+O5IjqKvnQCrJzoe3lt8mnyaScSzlNHvsxnRSYEceg62CTnkX+5h9f4Lu/X+j69z7wWVz+x9cc9tTywLff+m0AfPqpj/Pt75KC4x/83u9wSn1+o6lzfGiQtZWeDEivx5Ob+W7zJbF4NkxpQy3jZMnqtF/Fy2XGgXzOo9MNs8ZWcRwSatInDFuUVZamqdIUjvHI9+n99fWRq6fUTAc/Pd/ovI+tZfeg7nPLLdpd+dx2aFjV4l7iJEzpXKrqXlvwHMJQ7n+8VMSkRYAgyToeahjFqVojKwLmc27WzMCzTnbmd7QI4DiWinbgnV5ssWlE7rkdxeR0/VS1U2tkDDndVyo5jyX9jL6cnzXtGNdGPivtIOtK3koSHE3ct6IwK3jPzUuBbmRknHNT5wAYHu1n0+BOAPbt2Uusvn+oMsiHTkl8v6JgHBPMMu/oXmo8FrUx2uzFs1lTtrSrruf7ROnaN2Trzhj3G+pSvUFd3LAN27AN27AN27AN27AN27AN27AN27AN27B/EfbPENFlIYmxhp5gZJJgUhqEMZgU3eWkGcCQYFYygw+/0OHGaySj69qAoX6pwoT6XjcwRAo3DJYiQq34LDRaXDMpVbQXF5e5arOI0R7VLGQu9uhoJttxXDxfEWKBZZMKz69qFcAYQ6JICFskE9VNEqiq+F2kaAw/NqwoGqcbxz2KmnEyCbaZWcke+1sdgkA+6/K9l9GoSSXw6EqdW97+RgCayrF57Z1v5MMf/msA6suLHAqkapSUq7zptrfJ9SpcvJxz+LUP/jQAr3vVN3Pvo/8IwODAZqxmo3/lN3+JlRWpjphIKulBVGRu6iwAV1x5kJ07BE2xZesYD91/LwA33SSUkeeeO0yoYzI2MsTeb5LrPfTMIbZvk797/JHnebnNcQylvMvC4komwunQzapaxsmRKCW13ZXn4LgOSUNG/9gLKwwUBLHVv9jlwJVy755WkPKFhDJSxRtZtiiimXJ/jqon733mwgK7x4cAOD4ngra2bVkJ5OdNQyU6iqKxrYQRzdCvrKlQKCarGsWexdGK5mozIOnG2XsAGq0QR6sUxYpPqPOhr1DIMMdpRb/VbRCoCPRgzqOjMF3jeTw7tyr3qZDgTqvDN73j+wHYM3lZNr4nzz3OfVqxXFTE3gPPfIYLK0JjK30eNo0KAuMPf/c3ed2tUhXP2Srj2wQJkUOQgDde92buuE3QNEFQ51f+43+Qn8OQhx6W6maklRtrfF77+tcC8Pm7HqLdlOrD0tIy115zMzPnnuSSWFpdyKpZlqzs5RQIFbmXKk8a60JHfn/iVIP+ShWASiFgTCt1bX0GBc8hUtTFynST/qKKhLfaXLtZ0JePL81w4y7xTY8dEfivEzsZjNwxLkYRXS6GcUUsrEVphcikXaDx8g7Nhrb0NeDq+nR1fs3PtcirKPVAX4WBQaWdLUzTVcqDo+jB+dUGC/NyPbu2bqFSkjm8/cC1XOym9AAVcaZLxa9mQ3rrq8UftTN5ealCAvz6X/869VDQgcZrvATJldoTxw7zkz8uwqzv/dFfkWtcafcqxnHA/Mz57N4CpeolGbLGJVUETZKYM2cvyMsO2LQjyiUyaxyMazJEl0By0gYS0FO9VURTvkC4IH7h2amIN18niKTzUzPsVLFdm6KjOklGIbPW4itaeC0OuLy/Cshed8Um2fdO6/o1XYdEEQlu4mMdRVC3Ywoqsrvnsr0AtFprBFb8xtpCh3JRaRxRjNHCaeq7WqsRg9qsox13SakOE2NbWFwQdHJKeSj0VxkckrkVtJosLsi1lQpFLqwpRUlbisf5Iq+5Q/aT17z6dmoKdXjq0CEuK8j4pA/7w/f+LonSnfySyxWXCfrroYfuY0iF1PNxjk4ie2vSlPWz7xXXMzwq/uq5557HUVXYw4efJlcY0mekn+sbWi35e5uA8eQ+bBQQRSWsvUT1xzgGx/SYZjmfrNYZOwz1y/pdCYRO4LoRLY2b7j5+kd2KhA9WmsQVWbPKEiOXOPgqH5HYhHI5FePtsn1IUBrHllY4MC4/n1qUvS1pWhL1lQ4Ogfqh0FpG8vJ9q0p1cK0hUKq8m3NxUvSWaykrAj5tGR8EMQ31m5FjCXSyFR0fm0o+6EB04zirEL/9je/AU/TI5I4DbL1KEBJb9u4BoPrIs4Qq3FvKJXTUl/7tR/+Mn3nffwfgC/d8HoCT9ecpjqeiyw4XZsRvuCZioCRi/Y3lLs0UkdVNmxX0UDe7du/h3FmploMh1rmxqigvx3dJUlCpSbApKsnE+AqVvGSsagewXkYdkW1O/aFxCVV43Sn06IxRTV6bXQzZvV/GoDa7ylifij5rk5icNSIKj/imklL+2jZka7kKwMmVGldsFt90blnp5u0e1dV1nCymi0kYK8h8qmvM4xone5aRb/GcFA0IZRUpVyADQRgT6jNx8y6Bxr2VUjGjght9jp0gxlF4RsHp0a7zg4NM3vJWAFZiuZ/NwOlzgprZtW03x45KjDs4MsHouDSQSpuPHLv4LKvdKR2/KmOjQh1ars1TVPjXvXd/jhVlkJhY1rNNAoxRHqOtZ2LhxrhZE4Yo3V+IM2aKTCz1D66HcfLZ2nl5zYojtBZC9Ys4WKW6OJ7J2ASuour6qn0ELXnt/mPnuEkbSYVLdQZ0Twx8+fuCcTI6oqU3Xbt+wmZtunJqucb+TeqbFsQ3+dajoY2bqgM++nG0w5A+RfRlzA1riPSZr8WhIudkeXjK8nDVN7W7Ufa5ft5jOG2osFLHUXTX2JDsK3nfw4llbSzNLWUIF1yX0mVXAfA3/+kD2Uhef7OwGL7/+67/OmPesz/52F/yI28XAfq3XP/N3P/cXQD8/d/cT8lUAfgx7/cBeP6Zp5mclPNYji6f/rz4ulY7zOKmDMdle6Lh1pjsnGsMmc9/2c1a4jgE49JOIVJJnGlLWFMgaCuiN6PCRbQWZM6fX24wOi5x9cL5RsZ0CF3du2ODTWk5GHyjMVO3y3BB5tLJ1Rr7Ng3p560CELdS/hm4noNJm27YhH5laTTSNRhDSxHqfWWXYqpSb6CkMVpKBzeOQ0OlSgolj5b+XPJzdBQaXlD0XDsKKeXku7phnJ0JrevwxLQgjNNYrBPEeDp8ZT9HTZH6CYbz07I+JjfLHD29/AJFRd8OjGzh9lfdAcBff/B/ZBTLLcP7aaTrOS7pOLiEHd28/Dz5onzG/oNX8sILzwFQ1GYIUdghipRzbpLsfGWTENeXcU++BrliA9G1YRu2YRu2YRu2YRu2YRu2YRu2YRu2YRu2Yf8i7J8hoguklG4xKWmahCyPbB3SEkqKZtlxxWb6Fbn1/DPHWFgSBNS2qktNearjg5J5jBuWhrZ4HRwqZFV/13HwFN21c6xKVzOci5pB3T8xxEMn00qoh6/qqJGbkCi3tKiVEs9xsDrySdfS1irmaN6jvqiiiSqUaiPoV3TQUj0h0gpUjM34tiODqvDpORRUl+KFEw+ya9utACzXWmw/dxyAriLCFhvLFLXSduTcGa64RlA1hb6BbJSr2kb1f3/qI7RDqY7/1h//AgVHKhDlQomKisXNLsbMT6uCu4rukSScPS3t1+OwQ1c50a1mPUMofPYznwPgNa+9jZJWjF88cor9lwvPd2h4iG546ZSekzih0WxJtSrrdWtF9w3J+lsd50Sz7MXRElqEZ21mkXlFWw0OJHQ6Klyvc7PiTtDQFqm7duzixRdEOHtw/ybClrxnfKBCqaQikypWsX+8ylPnVwFwRlwc5SxHJFmFsOBoW1rj4ua1WtSJiBRNaKMkExlPK90F42XCikkYZ5WVdhRSVm2urL29cSiknxtZQtUEiID+ksyB618tFaS9V11PpyNVgY998gNcd71Uwju2yB2K2ptZk0rAvoNX8mO/+k4ALlycIufJnHv97W+iqbpIl19xG4eelQr4na8RXa6Z6ToNFW6cGBtlcUnm28x8jVfdKkivVluu/Z3f+noeuF/0mirlHKVCFYBTp89y7OhhWqrH9vKbloDXCTlmZpOsxTL6XMqjeSqqVzN7bo0pXf97qwlrefm5rBWkuJvgahUz77msrcp8XfG75HfI5169exMtFbLsqnjqDZvG+OyLUgn2xwfSDt6stVuZhkmOnmZgOpeiMGEt+73JWqZbRfNUin5WHQ6bIfNzokfT31/FSStAmeaKw+CoVAKXagvsmxQ9t9zwNqqqBxXrHH38sXt4zc1vzsazgZRq5laX2F2dfMlo/8B3/yIza4IOPH78JLUJQZItTE9x6+UyJx58+BleePosALfe/koAnnv6BXp1Hoeuzrt8X5VAkZsokqRQLNBVnRVrYPqijKWNPZwUuculM+OAUYQB1q5bn2TalGhlOdffT39JKpLd2YSLa9rKOXFparWuT+dTM4go6DzNey7t1L/lfHJaRdw+XM10BRtaFb1i0xCPnBEk82C1nyCR5zcVLJPT6nU+J3vSUCkBpOK2YJtMa4OToWpfVgEPtRTXrSc0avJZeWOypXN26gJl1Z6MFT0xWB2hUVuVz12uZdXStW7A8qog/MqDVRkm0+XRp+4G4OC+PVx3k8yLm29/A7/8y78KwG13ynx7/fXfxj1HPgyAE8IXH79Proc8dW2wMNssM396TR+H3OeVV17OY4/eA8D1N17P008+Lr83fobIKORTHZ0uSVphtiU8V5BixAmGTu/5vtxmLVizDvVjMIpUjMOENUUJlUtVAPyBBn0aN02drLPtRtWNSgyJounLKSIwBEeRqUXfI9Bn67suhbzM3a2DA5QU8dfWJ3ZwbIj7T0ts4U9Us0Y3jbhLWZEZORWlLnkeniIewiDJYijPmkzHMF3SedfFVT2vbq2VaYwESYyvn5fufYWCj6NIqfseuo83vv5NgPjHxx+9D4DnXhQE8F1f+CRlRbN5scv2HdJo4NDR57hwQXROtygSOZxKmLMSd0WdkHJJW8O3Q0LVYlpsh9Rm16M1AfJZxfr06dN4qcO2CZH+nUkbBxgX46Q410IPSJzEhGGqM3opzAA+xkTrUK0RZCvRCEUBUPdAcbyMrxowq2dqXJiUeT+Ok8UpFSeNey2pEGjB82jUZYzGyoXMN+0YrJJ3U01UWU8HNw/x8CmZT4V8DqvCSK04yRB8eY3tyr5PPqfNeIKESMXNPcfJNHvThk+lvEecIrowJOpLm0FAKW0Iouu22YkYVARaJwZf4+iZlTpHPyG6q9feeEc2kj/4HhGm/+Bf/wWT2wQJ27EBfdpg5pZbRM/y+JmTtCa2AnDs1GFyrqJJ915OoCiuj3/mfrYMXQPA6BXyLF587kk8R+Mdx+Km7Be9G2CdHlduXWeVHiKHOBQtnEuh0YWFuI2NQ2JFnOD0kK5xazWLp/T4wvZdV2YC2PMnfVa3KBKwHWJS3bV0PSWQ17NO3nVotnUu9RXIq2bqtuoAgyX5OdI5vHdwgIe16Yg75ILOj6BtUVB0po9XzvlZg7I4SWjr/HEsWL32UM+BcT3C17kYxhGNtTrpm/dvG9Hbl/dOL7bZPCKvTc8uZd/XikLOP/LYl43ke3/8PwLwl3/2/wBv/2oD/hJL0VwA5+vn+NCHPgBA9zvGWVwU/zU8WgVgy7ZdeKpL2m6HeIqmCWtzGfwxRQxbY0hnmVn3s01sD03/MptNLEE7wPgujivnSYtPkkIzkyhjfLm6D5RHK+R0zpx4ZJn975TziIfoMQOUFLkVJTGOPkcPQ0tRwzaBXK43l1J9rFQD98rJIR48KTGT67nZ3tXtxAwoStFPGw2EliHNR0RxgpK08DyHKNWX1HVZ9Fw2KVK/041xNTaPkbOe3LMikAu5bA4GYYyXsnzqnex6I30sRevRr/uVCcl0EdtJkH4coSLGwqahb0iRy0mXv/nbvwRgdHCUI8cFmXXseI2VGd2zdA1HcQGje7wxECu94PzFWbbtEH3mWMdvbnaNXjMDg3FSreOuaEV+HftnmuiyYDxcjcCjKFgngBdmNJMULHjm8HSmeOt6MWdfEMey9VUDrK7J6+ObZFEkcUSsCYjLLuvj1Hk5TD9/YZErlbo4ki8x35IDxCZf/q7Z6bJvXGB23ahLRSGGLS+m3VBBNoW7WgNNpVg5jmFYJ3qzFZBGanEtFWEztBTmOlDIZYcD1/Sg9wXtvlEsunSU2jFYGWH3gasB+I5bvoN2KPDoExfPAPDMo/dz5UFJQNx6850s1+SzKn0TXzbaJ2cPM7skB5Qw7BB0VcBxbBML0xLcec5WAhUstLpa8nmHoWGhUS3MXqC+JoeDPZftxyo9IO260NfXx7Fj4lSLpSJTM5IUKRSKlCp9X3ZNL6dZm0DSzWgxjp9bd9SISIMBVxdla76N0eYGJjGceUpg83u3DHDxosyLA3vFWc4uX2RUBZ8LrUVuvFmCFq/i01qVA3PJ+CwrDXFIIeZ122TXJu3+EQQMOGmXM4+lZdloRpTa5nuG1XZKMTOg3YGacZgFNX6aeHF6IpGlnE+oSV3bTegq3cb3dT55DvVOevh1s8YDy62IwMp760pvfcdrvovDp6TFxtvf+m4efloExCc27+H3PyCdq977bukiedcXP0qoMNTxwS1UKwIZr27Kcz6S+fnok1/kQ3/5GQC2bBUq5DVX30qnI4exLZO7OHb8JADnz5/h4//0hN6f3O+f/vHvkNeNZ2W1zhveKMmynTt24vt5ps7KQfTlN4Xhm97hJDPHhxSerK/XZ5rU3RRKnTDzotzfzpsr1PXZ9CtFa60bZpvXls0FFpRWOB+1s+BiOF/gvHYP2qLrZqHV4MBW2QzjJKKom7dTKtDSDp5VHSsXaHVTyLPPoNKtoqIh0kCuoEGjjS1p002TRNiu+NXpM8uM9svcPHZUaKunTz/O97xHqKbPPP0M1RGhjJUGh3j0WYG/v/Zt3wHAa25+Hevl5osqQf+lSS6Aig+LyxLwvvayO3q/6N+d/Tg9c4b3vfenAfjiF58G4Df/+2/xH/79r8q9hUHWwa9bXyIV6E7b4HS7YZaEbzVD+pWiaRyPdnudMOulMmt60SP0aLHW9CgSGgQ0p2rktHuNNYb77ha//cqDLpoXp1/pgQ26uJrE3721zMnzchh65uQ8+26uyntzOZa0e92A8tTqnQ57xpXyHwaYSAKYnYP9dNQPxYuS9OwWcqLYDAz3lyg7koQ7tVAnrwfWhnYNCsOYvFJwTGIyWpHrmOzAOjwqvmJh/gI2Pch4ZEmCRjdmcovMk4HNknA4d+oQW1RU/vDRQ4xMShC1yfW5+qqDANx730cBePrFR7Ph7XYjjO7Tl+8YxysKHWFmpsOzXaVxKjX37s9/JmuO8drX3JYFaIeeeYxNE5LgvXDhLCAwfEf9chwF2KzboculA9lbiTCN6XUKMElGgXB8h25bnn8QSsxjlwOWyyrYW/R44pD8fP1ozEpdu+BVxK/UbJdB9U2TYwWmFmXOnF6scd12iQFGisV1c0nG7cJ8ncs2y2e0u1189U1DlQKNNRmXAZ0nnoVQHU5fLoc2MGYpDCjonhWo7wqjBFeTGOP9ZS7Mi1/N+w6uFqGSNHFhZI0DuAN5FtYkvikNbuWmV90OwPSyHFLCVo1qv/jVwQGf0Qm5t7GlSf7kL34bgLe87VsBOPnFT5LTJrGJtXR1z9s7MYjxhWpeW7jAdCpp4WpnsKS31pM4JtC4xMvliMI0Qdqjn6UdHDFh1p1OYhouoSWSnAAyx5LEPT9lzLo9UP5pz7Xp5mUMin1lZs+JPxka6bLUlIudVMpWPepS0rUwOZZndkXmwvRak30j4n8rOZ8VLZL0a3G11umyZ5NKZ4QhqRx9tZynqePcr3PFxxKkFKFCLuvcuRpG+LrXpbFSuxPpwV3ipm7aKQ1DmiKK1AcV/d7BsFTIs3ufJEMffOYFXv/WdwCSIAM4P3eURY2B73jN67nnC/fJNTRbnDorkg2bt4k/W23VOHdRijqD5SE2q0/zojaJjvX44BDj/dcC8PGPfkyvrEeFFWkHuc6hoRFaLdmz00NmHDngaGYypRPCS/efS2IyX7JufLbXdMUpDZFoETXSs8fRx54kUgmFUrmfoy/Kz1eP+yzrsxnpV2q7DbOD7sRwngVt+jBTb3LZSBWAct7n1KyMxZgWaerNLpdvloJuFMe4WsSplHzaTaU0er24KVLf01/KU05pjFGIp/PNUWr3WrN3zsu5Lk293moxx+lzsq8MquC5Y2FuWXwXrsn2udVWSE6Tqa/71msAuPujh8hp7PKjP/SLX2e8v7Ide/oBfv0/CQX7gceP8N1vkEL2A2PSVOjFF97PkErx5HI5tm+R/bhRrzG5Wc6OKQjk4tTFLCGDtet8g8OlquVgHIxXxLgFXDdt4FOmo3tbPufTbcoZLXVPa7MGq9T2QqHIPQ/LeF8/kbCo4d34gPiXZhhR1Gc+MZhjSWOXi8tN9mnH6JLvZ8L0g448x7VOhwNbZd9od7rkNW4bLOfp6p7Wn3ayLhoSPWsNFvPZzytBSN5PG9ooTboTZSL2FrKCTt44lDWWSrtey9FQpR+KOZoaq63FCY76u6Y2KhqtFLLv8HNe1nm7Xg8ziYJAG+rEbkBDmyFdmDpPEsi9TZQ7DPZLvFfJD3Iy0cZJKfjCxFmXUWtjwq78fuu+PSwty/l/flZlSdb5H2Nsr/OnDUnCrx+Db1AXN2zDNmzDNmzDNmzDNmzDNmzDNmzDNmzDNuxfhF1SRJcx5k3A7yIJ7z+31v7Gl/x+G/DXQFXf8wvW2k9/7U+1QACJzTLo4GTZR+P6PRRFmgSMwgxRHUcJVvGv9x9qcnCfDMGh45pJH8sxkIry1sMs8VzwPD6r4s4/8Kor6Cpsb2y7ZNUff3GKWCuFYRDQVTahFOPl9a5Whws5l4KK8i4udzLEernkZxSVRO8h3+fQXpLMaSsOsyqda02GYjtxVK792pvGyacUl1wZLUBw5vQj7Nwl6K02goLZdfAaYk0F12oRJ198BIDrb/s+tJ6TCT4H7jSTA0JtrM0s0QqkqnJh5gy1moi0Pv/EE5x5RqhmTlGqnMPDI+y+TNA4C7PnOH/2LAB33PkaOor+6FPa1qlTJ9mzWyrwS8trnD4tlasdO3YzOamCwZfELBBj4wjHk+y7MR67dkh2fnm5yZKKMFsdEeP4WB1c40ZZI4QvPBpy8/XyjB89IhXgUsUhWZT51Bw07JuUEu/cuROcUeH51102SaLZ/L2T2sb8qTqJlqyj0NJQIXDPNeS8dGLLa3nX0Kew64uLrSx73Zf3SEwqXpiKH8aZGHmHKJtPcZyQ0yy5n6QUlPWUSZvR1HKuYUnpmvm+SjaSV+xOBTATXnWdVMI/evcnueZqqTD+z89Ju+O/+OAfMFCUv/voJ/6aPqUV/pvv/ymOnJJ5cfc/PcDkZkHlHH1O5sLRF87y4f/1IQB+93ffz5yKbp89c5ZBFRW947VvAWDz5k186lOfAuB7vvtdvOIVgtz41f/48wxVB/HcS1GhNBjX17FOEXQOmfOxCY7C8VM6k3EcQaECjh9m1KwvHu5w7UGZby8uKBohZ9iWUj+6IY0Vqc5sGivxuWOy9t6waxsVRZlSkN8vdwNStxCGQVZhDI2l3C/VbzdtWxzHmWhqrdnGUTHOPt/DVwH5TlfGPTAJgVbJw8ji69/l8g61plKwlVK0Y8cwRw4Jiu7MuSMMjolfuPzATdz+GpkLif79P93/d7zj9u8B4Jnn7+faK2Uu3ffcs9xx1dUvGfFnTjzHzs1SbTzVXSBRH7u3MsFN3ywovr/7q8/whXsEYbiqDTo2TWzmioPyd4dfOMbIcFXurbVMbVUqS15eUJlhe4kbbroZgPNnT7G0tKTfnltXz78UZvR/6yrr6csAJsHR6mKi9ECMk11/dbxMQQU+n1mJubYiz+SZBfHf+byhXyvAa+0wq7gWPIcnFgQJ9pqtkxlcfmRLFYDDZ+bI9SnNo9Omb0Cp9WsdbJiK9ivFKuhmVJKVpsEqZn/rWJm2bjRZwwPX0FEEqes62Tz0PBejXq2uNI9iIY/ROet5Dq5SgitOjFE6xekLgohYbjbYsX0HAAPVKoePCA3tiWeOsbgi1JTHj31Kr8FS0X2g7XWpVKQiudJu8PwXBb1cW+zHc+Xit2w7AMDC4hQzs+Knnn32Qaz6WOO4zM8KYsPR6q7jJFSrUglfXqpj45RiFusecwl8k7XYKMB4fu/jE4ckyiCZpHVP29br8VysotujboDVeXBy3GengI84WZfnUSgYBlQ2odmNSIEZg9UcTyoa/I3btxKuqSzEZBWAF87OkS/JBXWDEKP7YKebZH0WUoph3jiZj1ltdTNUQF/Bx9VGFii1jwJZpdxYk1XCoyjG81K0jrx106ZhZqaW9buiDJlw3/338S3vEj905NwLAGzetY2kLvHY0mKNXEGkGeZmVzKE/Yf+4U8AKPYVUiKBUkblx7VuwOGnzgEwczYBdDAVmSX0JLm46uBwFtvWVldI9xJj0ljEAUU7GqdARkXzCniKpAwbXAIz8l3rmmNAjkz63nEyjko6LkkUkATyHPoKJQZUqPjJ5XkuH5GfX1gS5E4+Z9il4s7Nbkyg1PFcxeGJCxJbvXH/NhKdn/u2yNw7dm4hQzgEQYCnk8hzXfw00NbnnndcSor6W17rZKiBgXK+Nw87KrDt2ix+73TJhOstNgOqpI1wCnkvQxiWKn2cOi5yFV7U4Tu/48ubpRw7LPSeoT178FUB+sSJU3zP9/4QAPVIUA0PP343F6YE8f6KG1/D8aNnAbjzthv4L//9TwF47rEpbjwoaEHfz76CSNEXxphM0Hx+foFBRSc3G7JuPA+ilAmLWeeKLLg5skPFy2pCg5V9TuMia7FR2mwJHI1prMq8jI2M0+rIxK43WnQUmXZ0sJ/9g3IDF7opgiRim675VhDRaSnDppznkApr37BljOE+ObQNliUmOna2N5eSOMRX0fBu1+KaHhoUIO84WEW6LNRaeIo2q5ZyxCm7R9EyOdehnTbV8JwMId9NIiq6j9XS+DrnEgWKQHJM5iOKrsv0orw+vn8HAL/1p/+Zn/vhX/6GRvyr2etv/z5+8rf+GwC/93P/Pnv9d37jVwA4efocpxT6eN9d/8CP/+R/AuDQC2fZtl1otZObtHnYk09z4qSwdARJnH6axdUxeblBp8ZxyBUKhGFImIrjJx3QudSNEnBTCQ6VaokTjKeyAnGAq82+5qt5qhrHHqsJash3DTvTRgRBSEepi/15n8fPiV96w/6t0JDvGJ2Q7zh9sUstjbFdS6B7aWgN/Wmco/dQdNwMjby01slUUKpFH5Ta21GWl+NZGrp2fc/L9krjG0L1R3qkoFTwSNkKUZJQLqT06i5z2vAuVp9RTyJu2CPNMBYXlwiUznxxIWHndjmX7blakKaPPvkors7L1YU6AwPit1thgRnZVmmtRHzLt343AP/w4X+UazRkzULW7xcvHn6ht3fo2VpyHWlex+91CbFkiPivZV830WWMeS/wQWvtytf9tJf+nQv8IfB64CLwhDHm49baI+ve9kvAR6y1/8MYcwD4NLDj63yy8smd3s2uw0EapxdQ9GC3Pd0uTA5y8nOxmuOKbZJ4OLWq0PQY6iqZYdciQk2mFYcL2cSZr7XYNigPc6kpB6eBSpH5ZRnwOIJlpZdV8h6eOrIVhQqWsDhKvI1JKCn0OwgtZSV/Rzo7p2ebuKpLUXRccnrwLOARKES0o/d2/Lllrr9WEk8r812WVsT5X5g9zM5dtwBw807RThosl2mtyOJ97tBz7L9SIKqX79qaJbjqqtCzc9tVfOauvwLA8ZzseoIg4LJt8u7PfmSOdDol2klhablG/SmllBmPslKpxsbHSZDN+MzJowBs374dXbsUCkXuuP1VADz44OPc+uqbuKQWJ1ibkNeNrN1u4zgSfE5ODrCq2izppp9gekRjfFCNDL/scVAPVIdnTwEQtAwzoTyH0UI/R04IdeoVB17B+dOSdFxrB0wWZNKl3PxyvsCqwmItcQYpzXsuee1GNKNaQsNOIev849FzbKGFoj6rhjrsto0palIsn7i46kU9x8PEKf1XE7ZRQlH1Jda6YUa760QxxVw6B3pr72N3CVT+7a/vaQPk8zH7r5Q5+ck/FArjb/+X3+Rn//3PAnD1Fddx9RWSCFtbW+M1t8jPw6UdRO30kPUwAKfPnMmg2//2fT/Pzt2SLHnFq+7E0aTgO75ZkiID1SHe+wNCE/3Pv/VRpi/KoXdgYJzdu/eSzxd5+U1oi8b0IOYyaXoBdposTA+9CQG+n9JNwC3qIsi7XLVHDlzPnZVA17qGedVHKDg5Et0kWrUY11XfYyy+QoerupHVuz5NXVw2sQqdh3I1T6TzeGpV1vogOfKa8FxY6TKsXWDbUUwUd7PPAFjrdOlq4DvWlyevSdWi42TJ/VjPXa2VFWJNbht3mK7O3Va9xo5tOwHoKkXpddsO8vf/JF1+vu0d781UX7Yo5Wy9vWrvVTw3K4fQpaVj3HCFdNf76L1/y0HtPlkd8HngQdGzmDovlLp9ey/jTW8WLZ7Xvf6NTE1JEuOuz36KftU8rC0L3RunwP33it6b65osARN02hn0+tJY78DLegpAuu+Z3utGkwxJHGB0/a4urtG3U55fpd9w42USgD70ghyyG6HlrCOHgf5cPqPxlKt9rCl9a6XZZfOAJCLX9GBRyuWZqsnfuY6hq8mLcp+HX5YHvqZU0NhYfKV5dKMcSSwUAs83pEIVqe5KEMd4CqHP4ZLTNeQbJ0tq7dola355aR5P51hkDas1mVtergx6qDtzWpK/I0NFZubPArBpfBQvJ0mmUilPX6QdaPtT6H6TWMfX9R1agXzu5sF93PlqKcT8zV88g+dKErSllIhuJ8roZKpoJ4+LhK4Whozu865Xoqtj7ed8eh09CzhujjC8BHPKOBi/CNZZp9FlMW76XTYLOk1BEy82JqdBfRg0MQUZ7/7+Aq/YK13OHn5B9rnYuMxqiaxscoS6vpMgR6B0u0Y7ZOeQjNtCfRWAvmKBVd3brIV6mqiKyab8smbNrGNwVRahGYaZ1lI7TCinPEYN/hrdCFfnUtFz2anyAVGYsKyJ4FTiNWwFbN28Q362Dp/7vOiGbtt1BUePPAvAXfeIxtvaygrXHrwOgPmpk/QpndraC+y4XA4Gy4k87yCMs700iHtSIhPjBygYSX5+6sTcOnp7StvyQBOlq8uLuLo/FAp54kSpUprFCMIYlNrtuPmsI26cOITqby+NGfBykIS9NnbEQjmTKyRNyiVZx9geHW12Zo5rX3ENAAsnz3PLVRIjfPGwHIytgamOjGPFz2E1NnGNS6i04HorYEKTEm2l2+ZyObpr6XwyNDTmzjsORuOmFf17EzkUUlplFOPrPr3WDulLO3rqXteOIxJ9rWCcLGlW8lz8VIdoXRHaV6r7wmqNiib6uwn8zu/+PAA//VO/CcBjz97FK14psfef/Y/f5uZXSnHm4lwdjKyF1RVJFL/h9W9kbk5igS/cfxcFT9bp8Ojb2T4ufv4IQxx+UfaydiPNcPrZs7BYHD3sOp7DWl1pcXroj8Jmpn+DUQosSAHemHUnrZfZjCtCf6m2lXGyot/E5CSzWnhBEyQLC3MU+8WXFAvS6RAg5xtuvFwSLvc8I/F1TMz5usyl8WqZBSuxThxaYj+VgjFUtQN1pAfnXCFPW2mOiTWEOhZBEKeXwarO7XIIrtI/u1Gcda+zxlApyutp4r7VjbFarK5WfNbq8h0j/QVy+hl1jdfc2OCoxmGXkFClQtpRRFH1Dr/9O35Yxmlo5Bsc7K9uH73/01y5WxIZ/+Mj93D8WUnkP3/oGQDml5b5vu/7XgAG++DwUQF/3PSq1+F5cm3/9AkpGkVhgqs+OurWsan2W26IckGT8P/XV/xSszYhDrs4Tj6bPyQdcNJTbRcvLd6n+53b60RsYzfzvTb0ue06oR3f/+xh+RvHcFELQX1+nmXVoPUdj0gTyI1OmHXzbGh84Hg+LfVLsU0yCn7R84g17l3WuRTH4Ou5qhEF5LV4UXMMVTfVplJ5mjAml1caLE4GVih5bqbB1U270OJQ0fhssRnRDWWPDmJLRXXAl9viR/u8PCdPS1J926ZRTl9U+aRKAevJdT7zvBSuczmnJ4HgQi3VpL7t9VxxoArAvXev4Pvir0ZUzmh5dZ71Rb10G4yTINPIjvQaMWTaasb2AEi4OZw09m1N89XsG4moxpEk1UeMMW8y5hsma98EnLTWnrbWBsDf8uXqeBbo158HgK9+pRu2YRu2YRu2YRu2YRu2YRu2YRu2YRu2YRu2YV/Dvi6iy1r7S8aY/wi8AXgP8AfGmI8Af2GtPfU1/nQSuLDuvy8CN3/Je34V+LyixsrA677SBxljfhiQtDWuwNws6yD4kJaKpMNhT6xXb6KHwLEJuUgygDfscFlVAUKnqZUbJ2TXAYVMhwEX5yR76426OPqFpxZXqGqXvFWFRx7cMsqUZjJX4wiTUiU7NruMAUVYJA7k9MVBv0hBYYq1VkBHs95pNjr2nOy9UZRk1aHV1Q5dzepee0Ay+dWhPJGKdb/61u9lUAWfr7vuLRw+IdnXTbukq8tqs4nRrhN9/QOcUwTSY3/1OK97nSAdHnjqkwC8/S3fQiEn2fqPfvQDFLWcYeOE+596HoDR8SGmVmf1gaSQdUusUGPP87KuFKdPvUilIiiB02eE7rFt2x7ympm1uQKra5JZvuLgfpaVOvhy2ZfOJ5tEGDefdfPptKCulS7frWSp5sSmlUlDWouwFoFOAdsm8jRWBBlY1SpsuVSmoPBWMxPxyjsEcfLQPX9Hito8N7/K/p1SnZpalmrTZeMDLDSa+r2QTzss4mSdM8pKW2oncSZkODZUzqrIS60u7VDmpwIsiD0HX1FeJrTEWjkIQ5sJWg+qyH1sIdFq/ObRKmurMia1TkRfVSDvuzdL9ewTD/0DfkHe246WsJ78fuue/Yx4gt77zZ/6m+wZvOObRaT8yPMv8uhD98m4N5vUm/J3Q/07+dVf+nUAHn1Uqilvfdvb+MQ//QMAURxy7qxUHL7p7e9kdkZy5H/+Z38BwG+8/+cyCu745j089ejHASjmc1x7002UyiVeDvsy35TRI1LUhEvqqCwxTtYhJH0gkGT1BlcgpcDuyQKdFa0cKfIlCg0TVakUx0GSVe/zJZdY58RDz17gqkkZw1WlGI7my8zpeoodsgqRE8QEkcyxoVyKKjOUdR3s3lJlpabIjMiy0pafU9RNI0nIqbB1uxuR03nV6VpirYpds3uHfNb+azl1Sp/jm76ZJ578oo6JT74kyClTlDWwtDjFt73jvdkYpxiBPcO9phSn21JJ3FXchuPLvS/O1qntlDn6rXd+Jx/6+3+Sv7t6OzaQ522bgpIrFgchEp83Nr6JSBEoq6tNSiVBCaQ1HZs0MsFlPzdEoB1opaz78lIXXzKfjEsP0fUVQP6W3u9TpqznY2N51o7xaUzL+n/dtUMsTsv+VFXB6nZkmVDEDonFydA9hrCj4qJLNYa0e11DaaoHNo2wclZQAyZv6NbUL3qGckXmXtwSP7bWDRjQamGlkBB1lUISRtTrep1akbSu2wPKYolUtDQKY0olXQPaUdENo6yjUV+pTLetIvblImObZN+7bVD2xbPLh+gYee8Th55g62Uy51eXA8p5mVO7JoXafPzc0wTawbK/UMp+v7BwlmMnBCHRjcDRSmMYyZ6XJEkmpGzc3Dpki5PJEPRph+K1Wo1QkWLG2IwS6LodLGVeLkLHl80lR3xRWhm1ic2oQDh+ps6bIb5I6Ha0kzIRtiZjfPlIhYvajayoiDg/9JkcUHpRnDCl1K3KQB7tYcCF5TWGFU3cUn91cNMoj0/JM207MXFD6ai+kzVa0CI03ThhWNENhVyFMKtqR6BxmEmr9cbpdfCzCWnz16ibUC5q18T090FIkMj9lKojzM1Ik5iBkVGuvOpGAP7qVe8A4O+/8DfMTgki8uCBGzl89kUAvus9P8L0eXn97CHxc6U+L0Pw9pf8DHW9ujLFo4cW9dq6pIgsY9OOc5acVr+jKM5osNXqEAuL2hSomVa6e/SymIR8Qarl3fosL7fi80v3OgfPNcQmj9Vg13UsscYbLpY4pecr/aS/0seadrfFsTzzuKDbJ3aVmNf5VI0VQegaxjReNut8k8HBKnRqbrXJeJ+MXU0RkvvGhlhuyL5Z74YU0+7ZQKSog5RB0bEJ/RpDTVbL2bNqR1GGzshAmgWPsu7TroVEG2U02wmhBnLptSQWQt0rx6tlmurnrGO4fP8NLxnTm69+PRb5/fDYJIsNiR+9ks0ohifPCsrt/MVzNPXejIlJY9C//MCvc+SM+LTN2ya56Sphb3z4Q2m8FfFS1osiJG2OnO77YZKiTVzQBhuOWyJRAWmhGX19itA3al86l3CQgFNj1zhFdgKzF89laNNUdL/V7vL6N0unXOt6PPb4owDsGAg5r103vYY8vFJ/mWHdw7wwwdHnaFxDoCiaqeU1rt0u+8VMXb5r3+gQNR3v5XaX1lqvOUraxbyk1xNiKSvbxu8vkY531yagzYa6ek4IfUNBr6HTiRjtU9bEWjeLwcf7tDEFTtaFtzI8yGIsZ6FmlNBUXuUf/OavAnD33U99nVH/6paS56PmDH/3GUGvvv0N38WmLcJ4qmrnx0Yn4Kd/Uui3T79QY/cuQTl3u00OK7q3ke7rxmRoTxvH5PSMki/nabZ7z/f/1l66z3lYPGwS4eg5NbaOLEpESiBdV15Gn/RwFFYexQHNaXk2l984zrmTEuf0KaevE1vG026ExjLvpl0DDbF+x8xKg1FFdNYVuXX1llHqx+Wea0GQ+aW8cbL9WEFutKOkJ3jfXyadS0GS0NH5mnZHTHJu1l3UJGR0nlYnzBBrm/sknrUY0u1+cmSQxUTmUiOBmsZ2Fe3kmiv65PJyD9/0Ld/Pk7/9a4CkXhoNPRunnRaDhEjnbd71esLxrSX+6qP3ypicjrn9lW8AyPYwx9h1UCub7fe5QpUgUKq1skgEcZpSTiFjMuCuY1d9dfuGMPJWTs6z+r8IGAT+3hjz/m/k77+GfRfwAWvtFuAtwN8YY77smqy1f2qtvcFae8OGfv6G/d/axnzasJfLXjKX0jYuG7Zh/4e2MZ827OWyl+5zG3Npw/7v7KW+aSNu2rD/c3upb7oUul8b9v8vthEzbdjXs29Eo+ungO8HFoE/B37OWhtqQuoE8O++yp9OAVvX/fcWfW29/QDwJgBr7SPGmAIwAsx/9SuyQmLF9kQPHK+nE2CjTFQ3tVK5rKLQ0GquZsLMz18MuHmntv9sp6qDPsVUHNAYdu0Q5NHcQp2iIh2eODHHlqpk3D2tMLbikGpZ9WxMTKRidK0wwqZFU60CDHheth4LuJn+gPEMfspd1mq20zTsHJdrXG2Ar6KKe3eWef6YZEZPn5cq2Ss2TVIoiQ5Lq/Mipx4UXaLBoUmu2PtSnas47vDgIyLQHLZjRrZKxv5n3vMz2XvufeIjAPzyb7ybiluV6yGHUWG/Vjti6qRc5/SxVTDKQtWbqw6W6LRE2u0Vr7g9q/AtLi5y5Ihoc6Vt2HO+S0610zwHHE/QHc1mlAkbXxIzUnE0bo41Rb04fp6ZGRGpnJmZzYQTUw0Ga23GIbY2yH5x9mSHA5skI76i6K+5hRVuHBNNmNgmPP2UCPGFYYCrG/y5pQZTKhDd1kq3j4jJA7RslM2dZhjRVd24ks7Hqpcj0WsoOh6BVhFiY1NZLcJUXyywjA5JxW5hKcyaImAsUZjqw8ln+b7bAx4FTaqpPoKB6Xl5rssq7v3at34TDz8o2fvAKzKgf3jVpsu+bMgPLz7G7EVB5Fx/3c186h9lno2ObuUtbxLBwuefmuMj/1v6Urzj7d8EwFve+laGRwWt8bGP/j3XXHeNXFvYoNGUZzczvQrAL/zCH/GFL0hlKuh2ue460f664YbLuPKq8Uyn7OU1qUga4yh6AkWeptVok3HZUxflePlMBwMSXJUSOHuhyRVbxMesZChPw/6yrIta0GFiSH7fboYMaTvqqbUWuzqyDkOdX7VOyPYxQabMJV3WVqRaskacISDykfxbdlwCrQQV8yWGy3K959ealFTDbrWt+kK+y9ZR+dy1WpeGzsuJcpFOR/7u1Blx+RPbdrJlq+iwJHaN226+A4Bnj5/g7JJUo7/n3W8F4DP3fPTrjnR/UVCCn3v2H9mknP8Xjh3i+WdES6J/cDNhW65ny+h1hB0Z2O3X7gDgk5/4NJs2i86Q4TSrS6KZE0cBzboiUlWUPI4iSipKvnXLEK22juXsCoHqEV46M6yvxttew+6XvJ4hCG2CUcSWTWJ8rRY/OV3jzs1VAJYiueZGK2LPqFT76mtdxlSPrRtE2V53sdNkZ0v2wFj320YUZmhSb8Cjoa25A18bpgBVRcXFoWW1Jv57ctTH16p36LkEKz1tQ4C+MMdoRa59cbGT4ZqqfTkGFIWj4BCKeQdfK8QtOgzpPrz7qmu55zGp7keKTOgbGaKoYuXNVoPpRak8t2t55loSarzqLaK7dOjpkNEJufb+gTGmtQGN41WYvSA+z036M78a2VQ3IlqnA+KQQrodx2C1/Lq2Jr7SOB5JlGp49Z6nteAajW1ebrMJNuxg/GKG+MWYDKlIEpFBjFW8anhsjBUV6/f9HGEke9STRxZ59SbVIFFdqWAt5LIx1XJrdBgblrEPWhEFfWin3DW2NXVe6F234pABfXae51DrqpakiTPJqkFt4JEzDrHO87LrkU81SGxMQxE9VvfJMLLkR+VzTddmOn/9JZ9uR96T6iwVR0cYrIoPubBwhit3yp41sWMv+dLwS4Zx3+VXk/fFF7i5HFerD15dDinvlOs8dFTGwS8FKJCQdieirPexttYiTGSuuIlDrKi47CodhyhKdaaSbM+YnZ7BeF96kPOySrjj9GfNHIwh22Quia6ShSiMcD0XlRXi+uuu49AhQWl5rkNLfWMa39bW6tl+4zker361aFOtMUMpnNb3yBppNiN2DslcaTQ6DPWrNk2SZELfp9fW2Ka+yVEBpFYS0afzKfbIEMfNOM7i8FT8u+A62V7X5/kp6IOua2hpDJVGntYanIqigroJsS6bvONgFKlTb6n2ZTmXzS3PBmlPGOiGvOkN3/5lQ/l7f/a7AGzbvosLF8Q3HXnxOK+741sB2LldmqaUi330lSS+fPbIIaxq/3m5IWZmDgHwlle8nQcfkLjeVR9tw6SHCioPsGeP7MMvHD5MpyV7r3HS5ga9RjqJNRm602JwnFyGent5zcj/vCJEKbbIJ+3kkMt5tJuKZFONok3bd/LYo9JAa3R8LGsEcPJCwPAm2bejolz7WqvNtoEhAFZX2/QpG8cBjIpon19rclmga12fXdfEDFVU/y7nUG+p1mQSE+v8GNVmLxXXzZDAZd+nk2rXOmS+CdW17TRiigPq03BYVjHx8f4iHdWUaysLpFhwMt3eAl0GdJ4vWUtLEV3X3ShEqSeffQoF1TM6tpnJcWkgVsxUl3tWZ5Y+JrL/ThVr9x64nc++5QcAeN1bfzzTU3pWNap+5Ed/lGdfEBTr8nKN2VlB49/yiuu553OfAciaqyQmxqZQWsdm4xOsLWDcS6GRC1iLtTE2iXv9e5Kwtzc7uQzxHilbpVTxsqY+kZtQVDTdVMPjCj3z1HUzqncjdg6KX2q1Aqp9PUF7T2Obs7U6O0dkj2ioP15yoKpnDutBu6V6XI6lqVrbw3m5Rt8zRKR+KZexu0LH0tL3ptjKxEBH/Vl/5GQIVM8xKciZumpgDlWLmZ6gS5d+3TfmoohYxyc9fzQ6TYarsmbuevge+gbkeeWjfvKe3FvbE5/dDWKUVEGEZXRAYvPK8C4Wp0QbN24Z7v6MzA8nfRbGYpN0v/Kyc1C33QD7JehRG/cOTUmc7XngkIQtvp59I10Xh4Bvtdaee8n3WpsYY976Nf7uCWCvMWYnkuD6TuC7v+Q954HXAh8wxuxHMNwL38A1yUEyfapJuC5gWydvp783Xj6jD/jFMianXTfGhrhMA7KpblP/KOaowoBLgWVJA45uZMkpHH+wnCdsyeeVygqvDtqM6QK52Ozi9imVsgNGPzqlF8WJZaAikzNxLGnzSMcY2mt6/X0K/R/O0dEuENsGXJZXxSleWGww3C/f7WkgeeS5Be54zdUATIxcS85I0FBvLnP3/ULdet3t3wzAQGmc0RERHbzuhpvZtVkojQnwu3/9WwB87hGhiXmVgPmWPBbHGvLqbM+ecZkclFzmQr6dCfeTCSO7bN26A4AzZ6aYmBAYbH2twcK8wCZvvFmoAceOv8gNmrio1RuksOwwjMnlUhm3S2EGaw02auKouKc4Zw0+4zZxSvVKKZtJ8JKuWmmiyy8DTRVm3ipjUMXhQl2eWakbs6bdutrtmL6CfN5QuUDFS4NSHbt2m5GiOtxml1VNnDkJWQeytDtOyXczyGqchGTds+gJPVfHNKHbDNGcGhOlQtY9aL7boZxLKS3y+7Abk0uFMNshrj73TmzpV4HN544dAuDkf3mejm7+J86f4KorZR6+7ua3U1RqRmpxYYzvfOe/AuBP/uqPUX1dyn1XcNdnlNKW9DGgDnNIN9sTJy8wOSmbc2VgmFfcJIfTIDYszovTfVZFMx984AtZd60oTpidEQjyJz/+jxw4eCP1tUuRPDXpCWOdwDBZpxycdbXL9BBi40y4HQpYq1TqvCWv/stT0dFK3uOcBkW5JKKhkXu4arPExPhQkULq1XUdmk6X5oo8m3AACiOyaSXNDoEmrdK0Ql/kEWlwu1SvMagdVIp5j1ADtlT8shUmLOlGvq2YyzpxLjbaTGoHo0jp0c8/8Tzf8r0/KN8xMsqDX5DGBVe98tuIlFd7dkooGvd87qN0G7J5/cC7fiobxhZZf7IsELj7vk9z4rj83fzsFHu2iiB0f2eQZqDP3zvDls2vBeDaa2XONBtNXvPa1wOwb+9OvvOd3ykf7Lh4umun8GnihFZNKGqnO8uEXaUoeC7FUhWA9hqXyOy6/4FZ1/30JdLAmZpq9n9gfRz1KwOVAiV92dcJMlz2udCR+ZRPYpqasAqb0Kf7WtF45PVgmaQdcDodhguyppdJsOoLwnZEM1wFoK2J03wTCupjGrUupYrMi067S0UDtDntutjXl6ejCeIdA2VWdC9sdkP2b9bgSpOXcUwGw/eLFRpWvndm/iJjQ/Idi5qwj9pNzkxLwnVkZJyVVUlYxZHhmsvvkL+bmdHPj3jD7d8FwLZtW/nzRQGtP/HQIp1FDa5MDKmgdZp3MD2qBNZiSfcKmznhHvM9yg7mSdjOnmccJyQ01yW+X0YzBuO6um/1mmNkfsr1MqHn9LWlhflsb+sfHWW5JWtgcLTE8ICu2VDlD0oeZ1TkvWAsa1p4dEKXnLagrhQ9yqkic3oI73bo08TsfKeV8TdMkBDoQW5NKaGbcnlcDTFCQsiSjE62fy7qYarVTVjUjnxXDxSzsHClE1ItadcsbZLQrNcZGZICysp8jcK4HGT2XnEjTz8uxZv9N94KwIWzpzhxWg56N9x4O2cuSG+l4yeOs21MmmUU9fNbSZugmdJSe0mVY6djOoviyfxcl9SrxWmryjii2F8FoNtuEqUizk4vUZwWs6CbdYB2/UF8X3xWO/ZJ4nWx8MtsxnHIl/vZsmk06252+PDh7Loi082a12SFHsclp7Hsjh2TfOSvRWYgxvLt3yrJRS/1TRWfafVNThxR172uvhYxoQmwajFH2U8XoNKUWi0G1Tct1CMCjdN8xyHWPS6lE5U8J6PKtZMQ3+2JsHv6ejftcG2gpQmtXf1FOl35ebkVMPQl8ylsxXi6R9ZrATn1n8XBIX7+Z98FwG/+Px8G4M/+5td4z7u/D4DP3P0ATR3LV992GwXtSvno4w/ImO3cxlJNDhPTixfp0yTLi4cb2LqssXarycULIungpONucmAl6GvUG0zPXNDXw6yrWZLOPdur0fleG6vd6MIw1O7QlyJtmghQwYa4viQuretnSdH+apVYg920Adf0xVNZwnNhbpqDNwgltGbPUvLlXmONK0p5wwUVo89haepc6qwmjA3K2iu6Hkb9TVnH3Y8D+pXauRRFFLUIEzcCIvXpqyoaP+Ak5FSCJowjbIp4NIZC2sU6paj7DnWlvm4p+zgaii7XA3aNyvXMLcr1dlohnhZ0Gu0mvj4cUygypnv++98vTZ6OvniIRx4RfzW7NMWv/9yffdURX5/kWm9PPHuMP/ijfwLgF37ux3jLW6XrbKx+tdFscfc98h1jI8MM61psNhtccY2AKZ7+oojRSygi45QrVhgYEDCFcXIsLM581Wv7vzLd54wxWaLLxhZH8wPWxj2ZB5UlaAddHE164fkZXTeIPbqaOUy7jw8W8szoe3NxRE33uXrXY1ybGPUX8lQ0VzAyIOPTWWtSLSgIIkowGmPGQYxn0gYEMsajuVy2Brvd3rnLGJMlbDpuStG3JBpjHxwsUVMfVG+HDKd+SZNqy8ttKn0psKeFp74t9HxKei5dDeTeqzmX0+ck5XPkzOmsvWgUWpKugEBKcjwjsZZQ147vuaw05fd//tefoKtSBJu3bmPqrBST02JlFMY9Ifk4xFH/a20sUgqA1aIsNsqa+bykOJh0Xhr6fhX7RjS6fuVr/O7Fr/G7yBjzE8DnkKzBX1prDxtj/jPwpLX248DPAH9mjHmfXue7bVZu3LAN27AN27AN27AN27AN27AN27AN27AN27AN+8btG0F0/R+btfbTwKe/5LVfXvfzEeBV/79/cgJJkx4+wkIq5GkjephFpTY02uQUCuD4hrTrcnO5xs5rBJE0XZfs7tNnVqlUJQvZyls8zWT6eYdxzV4vrbR4fEZog7eo0G4nTFjQluyen9DR6k8pnyPV+NWunAQRVFwVq7MxsVYYvNhkmdpEkRYj/RVa2u62Ro6zayKIu2VTHy2Fty5pe9qD23fy4vMCMX3qqWeIFKW277rXMrn/1S8ZweHhSW6/XVKyEwNDtBWaefTsEa68VqCwew4eAODIkWfIKZ3hCw99CF8FhUdGDff9wyH9RC8b7xRefNllE1SrKSpngEAF7w49/Vn6q0LBSgUK9++/ioYKrB4/9hyzs1KBv/qqGxnoL3NJzbgYXGwqfOfmSXkTxsmBUidt2nYZL4N626QHqYyaCZvGRHB4ZU0Qayfmm0wMSpWqk3OI07bBjsP4kLwehA4XjcyHUUcpC8UC8xdljiUkGY2nUsjhaZtsT4u6zSCmX4X+a3GUCYt6kSHUylN7UZEbRZ+1tLqVz9HtasvkOGFZK07bt+8AoD41RTry/cUiJUUWbW51KUxIBfaqa24D4KkXn+X3/p8/BaCEoavjl/8KLuaqyk6o7ATgf/yXV/DZe/8JgM8++DTFolSa3vtjP8ajjz8r969i7J/57Bd45S1Subv1lVcyOycVh9pal3375POmpoRqtLS4mFVxRgdHuPJKaRP86COP8Ud/8N9ZmJ/7sut6OcwYB5vEmcAk1mTz46UkNH2/NRkM1yYxhDInPNNm5yb52V1VIe1TNZyqVmHyBqNV5WLeZVQrk4vLLY4oUubyikCP41yO1bo4vaXFgFxV0YpdsB2tNqd+LLHsUNH3pm+pr8pcCdsJ7VRcOE7/hZk5QY1GhXzmjzCGizX5u/2XCU1iYrTKhRefk5/3XUsuJ9d2/thzHJ8RONT+K+XZXnHtLbz7XT+RjdFDJ6Thxa17r+QTj38IgP/+h4K0qTUX2bNV6NpRK2BMKUjbdm9jcUaqU1uq+2m35J5Pn5ZK4kD/KEePyfzxXY8BFS6vra5kqMorr9oBwPPPPku6VYZBC3RVhEGLXOGSbqGqAgxfScfEWpNR5LI9z5BR00wS0NVpftJ0+NdvljHvaDXxsdPLOBVFh3oGOr351K8NKRrtgBfXZB85OCq+LSoXmbkgCN9aIyJSqNiQV8y4PgoOo2NDJnNKV8sbpudlHrbCmEBXg6ecoWYtZFkr2Q3fz8To84UCj54XfzqkTTC6qw0m+2XOL6/VMgTaySPPs6x7bztQ4da8i6eos7VOjY6+ns/lefaUIEgjLatv33oZ25Rie/rMEV55ndCmV1buZ/akoEYdx5DojRqT7nn5dZIJ0To6oskWveenDR8sTurR3TxJShkk0Tjm0mjWGMfD2h5dAGN6dEXHhZQ6l00lF1f3lUqpRBBXAegmhqGivPeg0jyfutAk0aUQFEzWoCXvmmz/W6o3eWJZnuN1oxIX2HKReY2lmkGHliLIBrw8lZz6Oo2FlpKQK4YlbqjbmLbupf2uR9vRv0tdkB9TX5ZY6WgnzJAQkbUZZSCK5bW33fQadmyeBODiyaO87tXSjOeWW97CcRUCn7sof7VrzwGmF8SH7Nq5iedeSPfPFs8cu0+usyuIQZvA5Lggxean58grFXp0rEvtrKJK2rHSxdaZcWimou3rKIiGiCBct68AWBdHablh1CVS1kCSRGTcz0tgNknotOrs2HE9nbas2fmFpexaZU6n19prfrBli4zz8VPnOHlGnNOeneP0V+Tv+qys6UPnarh9PTRFinopFl1GFC28vNbmofPyXG7aKmwBv1RiblrmWDcKcUuK6sGlqGs1Ub+yGsXsKsvcbBtLS2mzrnGINGgv6DxukdDVhiVnI7LGAmFsqSmTYS1r/pJjTGPhguNQViH0q697Ja9867+WsUB86g993y9lY/quN38fjxwW2uHM7AwrTUFQbtspsc3dX/gsf/jbioILOqwuyzxbmZjmhftXAXj0safxFIXlKCIq6LYzgWjjuBSLsg+US2XOalORjGNrLImiv6LYxWonCYPB9YtE6fx7uc3GgEussii+72fC8wvLS/SwLKlEDURRb35vHRMZgve+53t5+pNCBb1CkV1Pn23QNyJrLyTB7apMQ8nLqIlrrYBnV2Q89w6Kj3FKPqcWJL6peRFRXmlfxuAry8NTFkQ7smxS6tlyN8oaVyVdSyeVh9Al2w0NkSL3zgVJ1nsk53scnhWf5Sg6bM/4BI0FoY/nXZeCIozy9Sa/+N9+B4B+5Hpv2n87zzz/JACLLy4x3ZL45o//6D/z7372NwGoIPTMQ1OPUl+TvXhiYIC9m+XM98Nv/ybu/YQ0ivrZf/fLlHV9fP/3vBuA173u9Rw/cRKAhx76IrffJkjXv/3bj3DyuMjRFCtyPYVikZUF2TOD9hrDe64EYHpmHkfnaHrkejnNYLCOhw2USmVdjO69Jo6IbSo3kW50PniZLg1xTcZ4aSlkfL/sb54r/z5zZjXzSzbn4CkNvlT02DIkqPP5WoNHp8QvXTsp+5w7UOLJI4KkbOUSAmVx9Bdy+IrI9XWeNKKYrSXxg4Fj6Wq84jkQ6TrW7ZdGCHFX5vnJOKarSMEwsqwpdGq5Jb8fK+apqBB/3nUzRP2g22Je6Y1vufNtAHzyCx/PqKalcp4gTuVKINF10Gppw47E4is6LO977NsuZ8OZGixNybpdXlzEpkwkvQY3VyKJ0gng9JDsxlF/QK9xDkmP5ujmsxi3Ui4RqI/ufI25tKEouWEbtmEbtmEbtmEbtmEbtmEbtmEbtmEbtmH/IuwSl6MvhSVAS8TlXyKqmv7eZIiiNEFYLju025LdzZXKlMuaLZ13+NQxyeIfGJEM88rmCjlFggwUXRYUzWNWE8JIsoybRiq0Anl9qiYZ+OH+EksqRum7Xtby0rWGQlnFVlV0dCBMSLSKvdjsUlWkTOwYiqpy2dHqarcZZH+/uNyhoC2XHevga2X+sn3SGv0///rf8U8f/E8AXHX19fzhn0hlY2x8jIN7XsrJHs8P85Evik7Od9z59kz75vlOm9uuEpTOucZpAE6fPkHBz4TEOHNB7vmZpwN6rdBLKlIFGKlGzs+d57y23+7vn+BVt74SgM1btnPrq4XP/eKLIr5ZKrfIeVLlnJ2e5oYbpUWy55dpN1P9tEtlVrVLVHgzijCOtvx2Cxgjo5PEKtzp5kWbC0hoZxOtMxdy/ylBkdy2S6qOmyd8Koo2LOUMi5qRd2PoaKW65PpcXBQEm1cSNM1QuUhTBTbpGBJF0cQFSy4VZtbPyoc9jnQriSkqQqhLiJdqjWk1qRBDNxUpb0XkUzH6tqHaL9e8ZatojTx9/gL5tHJZ77CkmieOcVidlkYHP/g9ouN2y9RhfufP/wMAP/mDP8uDT30OgDdf/y6+NJ9+qtVhdynV7Rrgs5+TKubw2NUM7JCqyO/+wQcy9FMhl1YOuhx/UTS4rHX4+MfvkfvstKkOVmUstRJy1dVXMTUllffb7ng9jz58HwCbNk1QrQ5mvPeX1yw2jkT4OZP2+IrS4et0eCxGOfYCsNC5tGD4x+eF637bFpk/W8cqGTKhWvSZ1wqQ05LW1AATQxUCI35oNZTK1WC5SE59SF9kibsp3z6mX5+Dp8Ldg66l0VHdgagnMjlUzbG0IuuzoBVq4xguLsqaWGqEmXZX3jiZf1tYkWrSO9/6Tq66XBCiL568iClKZXFtZQZfqzr9/fLsb33VG/i9//UbALzve/4Dt+69Mhu3t90kMo+nzovfuOuej7Jjm6ByO/UOM7Ny7curF8jpupuZqbN1m+gRbt26Xa53ZZpmUyqaLxx5jkGdP56fZ2lOfNbzzy7ptzo9vRkSBoZU2HzNJwovsW9ar6NET6kr/a9Up2s94d+kk88xGPVp3RX46yOCELhlUnzM5uEirs69gYLLki4Jv2UJVI9tvL/EwrKM05zOldGBEqnWbsF6mQ7DctShTxsWuOp3Rrx8Ku/AucUGFa1Uu0lMSTWhVlMR5xxY1VVx8z6xihH7jqWh2ofnZ2S/rrgOs6p9GMcJyypWnFjDuCKAVwKZ84GTUI/kWRrjkdNJbZ2YvM5lPxG/MTE+wfZt4v9i6/EH/+/vAPDQ506C06/fUcyeQaJryeQ8/JysjyiKsQpvcjyDtTJfolDRuollaESQh0FQp9VORTwt1nhwCRBdxhhc18NxoNteJ/SaioGY3rxJK6fWyxHrNc8uLNHtyr5ff7zJiUlZcyMaH030FTIAUV/OpaFImkLL0GrKZ4xVKiyuyGfMFwQpsHm4j0S/1wldjPqNtTCgX1u092u8Zmtd6irWvJSE5HTSJ8ZmwLScVrE3F30uqu9pdmNC1asaKhUyRHSoa2f73oNMqnhweWQbHdMTb940rH6zb2f22p+dEDTp4uoFrjogiIZCsY/7HvyEjMmAxFrjo5OMapV/YWmOuSUZqxceaGN07rv5Cpmauz6KODK9BW174uCieaOVbrc3R5IkFfCOIL12m2S6nZfGLCQhd3/hAW6+UZC4/f19RIE83607d7O4KGsubcKA43LqhPhtk/O4OCUIhz07x7niDtGuOnqXxBNbRyrZ3lnyHawyCoqBQ1P3p6G+IssrsnYWBiXuGh4oEeh9247ofwEk+QRf9UaNNgUohCGBxvSrYUBZUVxBHBHZVJBdLn2w4LOo62ax3smGdrxSoqVMhUDRdC3XsqaxWxglLKcNFg4/i9f3jwBc9WoRmt+xaRfr1/stV9wOwKHK4xSLiixuiBj9xXNn+E//9edkzHYf5NBRQWM9/egy27aL8Pjs9DRx2rxGkWsSJqZzIaDRECRds9XA2hSZquL5bjHT9ozDOibVF8QShp2Xao++rObKNXoSg4bdhCFdk9XqYBbXvaCIJbAYk8aFQSbA3z84zHJb4yUj8c/OyYEsbuorOlT0jNVdiuio0ONgNZ8xShYVmbV3dChrDpXE0NF9rq/oZ7qpNkyRLJalVFPOd7PGBznf0ArSMRQbyHnZnGh2YxI9Kw57HkXVB+sqIjBX6ac5q7DsOCJSlNveHVu4at/lXzaKo5skvrnjDSWOnxZGxL1ffBTz2/8FgFvvkPn1u3/wfjptWTMTw5sZHhTGwxcfn89Ac3/8B7/DT/60xPRPPSOfFcURrvrY6akz/Nz7/kavLcBTn75771UArNXXKFa0yVarxYlj8hl7LruSY8cuDaMCGxN317DGwaTN6kwCHTmTxnGYLbckluft5MtYnQfGsdlhaeq5Doc19r5ctdp2burP9B7LeYdE10cxdGi0talAtcLsksZMAzLGQ/0lohTR14hxFWFuffD1PGd0rpUdCPUcsBbE6FvpRglR5tLlw0ZKHnOq2ztX6xDomt9ardDVM2Gke0kjiFhydW+3EUutFEkOW1XX9MFHHpT3tjqU+lX3kKSnA2973io9f7oFJ0OjtdohFxdkXB+4+xTDAxLnbN15PUdfFD3Lbkdjtajb0290yc7UNhF0pzwcja9slAmiGhKs/r7ZDvlGxK7+GSa6ADwReE4F6I3Nkls4HXrJF1mxjUZI+njazQYDVYGTl8olHnxYNtvKnQK37HYiFjWYGtzTx56yONu1cpv5Vfm8nWP9rC3Ld+d1wI112DaiVKGoQ1dHvxYElPQymzp556OAAT1gjBbzBFE6+Qy5lM6hYq3tVoSXdvjzDH7a+aoR4BYkoP+NX/+7bGQKQ7LhHX/xObaOCB3nyoPXsXXrlzvFN94ptIxnZo8ypKLTV1x+LcuRBA/33i9d644feZ7BqgSdvpPnwBXyHY/f9xS9fh2Alb+ziQQ2MzMhO3fIoSEIWkxpYLNz5ySrKxIE7dsnB9Da6hLnzkqy5zWvfXMGgd9/+R4efuSpL7v2l9VsgnFcoZkAxriZWLBNIqx1sveJmeww4Li5bKE5xuXIowJZnRwSKH2lUmS+JQt/c+wypA6z6XZYVGHRPRNDDOblWfap4GVi4crdAsc+cmKOSCOu2E0o6OJX1CxTYZuyzsOi62LTzo2Oi69zJ68dHIMkoaQOJT+YZ1WDbzcRCiDAp+69Sz6/HbFzUL5kW7mciX92mwEjOreefv5huc+JLRw/KRSzD/7jB3nhqLz+7PPP8H3f/cMAvHDqGABv3P9NPPycJFk/9/m/5+RZef34WY/xqsyt1Vonoy65pB2o4gxK3w2hUNQD7eoqrRnZOLdvExrbiWMvsrwi8/CLD32By5RCV683mJmdIUzFJy+BGcd9SbeirCmG65L6oYzaSNJTtHY8SOSgkEQxJ1+QQ/2wL74pSWLausuWjGFIKSsNt8OSUgVHB0qUE1mrI5q4LJcK1JraJRYHN92U+qOsc+eCJrHaYchITj53wPNpa8RmY0Ne/y5Sumux6DGsh9HVVojRdeI5JhP8/dlfkMS7l8tRHJX57Jw4xlWXiz967nAXpy7w9qcel032htvezvu+RwKsx88+xk07BFb/4sKL/NVf/46897nHAVirrRI1Zf40Gh1s4SwAwUKeZkPWaLcTsW2rHMxrq0KTuubK6zh/XmiuP/5v3sF/+29/CcBf/NmfQ9o8Ie2S4EYUSjIm+UI1a47Q7pwmjHqHlEtjaTCS0pdM1kELa3pdsNKGBjbJ6IzWmiwRZpKEF4/J3NqsHZ9ajSibTxW3yIjSCVp+wJLSm8eHymwelfnnZ00uHA7skMP87OxKdhgMS3GWaFD9UxZaAUah+cP5HC2Fw3dCi6eQ/LQrX6cbk9N1UWt2KCptzgEKShGNc3ItzU4Xq80CNvUVQdkIE5OTrCglY6wi93N+sZYdPNprIbEj/5Hvc+hod+QgvwrA8fOH+OznPwvAq25+JVcelOYGX/j46YyChZOQNktBKQ3G2Iw2ZhO3R+GKDK4e0lPIviEhDuVZdIMQVynx/f1D1BoBUfDyzykLxElCnCSZsG6SJFkgibVkXaz1ekni7KWCVyDUblXWgQdPyM+3bNYCSzMg1OdYSRxGfFlDHS/IkpCbRyoYI4ehvJcWimDHpOyV3ZMzFHUf6+bjrFeY1cTUqh+xtiQHlpzvUtE5EcVR1l3PUXHyeiskrwUfk3MoaCI/7MbUO0qJHRKfsOYUeOSQ7F3dboNnnxTqzrXX3cDQ1htfMo6Hzj3HgCbFjesyPXdWr6fI7LwkHlZVjHdpZTYLGYw1FNP2ew5gNcE8sJnVpVn9jFR+IyTRufLSLncJjiPzLUm70zlOj4HjWGyiSVNjdJ7SC4dfbjPgOgmtlszlublZUj81M7uUNfNIY3PH87O7iZOE9/+WJAzvuPUj/Ny/loP47R8VanrUDgl0DW3tzzOke1Ir6rKivmmsr4Q3JHFrQROHjuuyd4fMp9OnFyhq8B36CTn1kS3NijaTMKNYFxyXrsYbgQFHY3UnbaTRCfF1Hw89h4rGh3EUZd0WVzR5MVdvs0995kgpj6eLaGZuFu956UpZT+Q57vjOH/uKQztcHaKtCbRUuKJQKtKeU3rk8Cg7JoXGfboYsn2HxDf/6nu/l//63/6rfMi6fcAq7dLkHJaXJK7w/WImBm1I6YoRfSpivdZdV0hJQgzFS9R1EWQSG+mEAuCWSFSCI8Ghrd0hSxW553ZrCSen3YC7axQ1ifmZT32cb/12SZrOLUrieXmtTjuQ53hga4V+nY/NcsJyQ8Yln3Mzeqen/7aDmJuvkXj00PNTuGmGI7Z46iPTM13kJlhd014I1mSLEjQWdNXvdsKoN5ccyOv1RHGCau3z1nfKPRRKRQ4flQTBSClPWffEX/n9u77iKN5/n7z+7e/6dq6/7HoAWp0GH/m4dDb/6OflrJjYBEd97czCAhVX6IinDucYrsre/vFPfIbDz8vZa3KrxG7PPRvx5GNC9w/a7SxRgVvKOtGn3T4LhT527pZ1cP7k85nY+OnjT5O1BHzZzcHxStLB1qYJxjgT08ftdalNqyM2amfJb2uTLLttEpd77pL9pnCnxM9LtQANf9nqFhhUn92OA+ZUVmiwv8Codmb0spjJsG+XjOvpMws4OsdyeYeCzotGkhYMg0yRIu84BGnx2ybZ677G7d2gB2xoeZZhLUZGsWVVE2+rWrScrwfs1T16tJzD16LIcquRRZmu7ithN8akUj1uL7llYghUosTNp03REqKkF5+uLcs534kNcahdtBeW6aQ+yPRijkxmI5PokNH68mKfxWonRuNWep+BxdO19rVm1AZ1ccM2bMM2bMM2bMM2bMM2bMM2bMM2bMM2bMP+Rdg/U0RXBBR6uGLHwYYpbDSvbXAR1BeADUCr1X4uRykvWc+du7ex9wqp6lX3CMorN/8osWZQTy6tsVdTna0gplCRbOjaWjdrL7vUVvhjzmFfVQWd2y7aMZuppQahZi0LCudfjVxy/QpRXehQVuHfQd/jnKJQCpqxbLRjjDICl1e69A9Ihvx7vv+HePObfvjLRubi9Bm5n4LPlm0Ct//U5z7JT+y7/cveG2se9/zZ88QqNPz5+z6Eo5XArdukSrTvwOXcfY9UAhZmVnn8lEIs8xWaHb1Rt5hVsavaejwMuxnq5sKFw4yOiTBfkrjs2S10pBQuvLBwgU0qCJvYmKq2166tdWi1UvHAS2FW0RC2h9gybpZpttZiNGNsXK0xJ0HWMl7aMqdqwzGqu8wjzwhy5Ntu30Z5QObNyfOLbBvWSncY4aoYYDeOmbogVbaCUwWgZHz6tUL4qi0jTK9JBb0ZRcSa+R9Q2uGaLdBVCP5EPk+Yihp2ImKlOrQV7m+MQ5TSEdcCVtZkbIM4xlXEVlql8Cp+Bn/tBD3I8uD4Jn76l38HgPFBmWOHZh7m6UNSrdyzcx/7dghip9RX4vf+WCqMni8Io+v2Xk/aHeKbv/MXufpqqZp84p++gO8JgjLvzzM6rIOpYvSdTpt6TRBzhWI/y0sptcxkz2BhQcbd9z3GxlWg1jc887RA3qvVQfqrQ+uogy+/2STOPt+YHo1ZxKbTedUTbs9qF0mc+SzX8zJW0fEZeUavvnwYR5EQx84vsHVEYf5xnLW27gYR7aZUcJ5TRNPm4T52KUWrf2CIqZrMpeVWD91XVN/WbnsZMqUQORTz8pxKTkxXy9+B0jKajYRE0RblgRzdFB2T8/mO7/lOAD7+QWl9fcedb2Ra50+3s8L2/SL4XBoc4nOPCZqirtSQT93756yuSfOMD/3dnzD9th8EYGb6OPNaLRrol2totWB2UZ55Phmk4++V8XNzXLwo8+pHfui7ePEFqYp2tDL88VPnOX/uLACXXbabI4elicfw0DCFQorTFn++urZAR2lbd7zmzdx7/xNyn0Gbbwg3/X9s6pPMuuqWXVft6k37zB+JeLUiWRxAq6teGQaG5D1n6jLOVwz2Zb2eT0wts7WailrHGBW9bbYDEv2SFHnVXW0wrOKkB3aOc3ZZxrQVhAQ6r/O6h8TFQrb/jfh5jArID7YDLiqNTXVMiWNLR/8+jKFZl3m66PSqfUNF+aHPMdn27niW0WG59lq3AQXZZ7yirI+Ct0xSk9/nTI62QvYHSyOsOjJ3PBUm90yeZld8zB/+8R9x4aS8t1Aq02mlCHK/p7avyN4kiBmb3AHA0tJsVt221pJXNIqjqJMk7irKHBwvR1kRFN2gTRzUM3ray29m3f+gr1yipfFLHEdYFVA2qY+KAmwuRditUOkT9Iyf91g7JXHK2maJm7ZXi8Q6Z45fXGK37iWhTbA6f2v1DqHuPafmVgGYiCPGtLJ++7ZRjqn4c2CTjK7WUrHvXcP91BXy4NUtBW1kE1tLS6vXBa1uO66Dp76yGViairpZbnUJdE/741+Uhheem1DdqqLx5zbz5DOHAPiL//WX/NwvvBTR9dt/8ou0muJXyuUKVpFXlcoIiadi5rpO4tgK4goIWzHPPqMocN/BatORtTXwFU0QKA3KWgebwbDWrX9rsFbWTI+9HGKcPn3NhXhVX3e51OYaQ87zOXrseHoxGRU2DIPsItOtNo5jHK/nyz571z1f9pn3f1KojT/w3dfR1X3z2IUltgzKGkoim31GEMYZ6nt6VXzQiGOZVGcxuW2E5UieSSeOM9+UUoFiU8pe80MYVNRuYi2zGm+l7YfKvkuQfm9gWdEmLfUgwmi8NaYI60rFxSG9xoiWnieW213e8VrZF6+54Y4vu/fPPPphXnnzawHYOrCH9/7Xd8t7rxHJj8nN2/Fd8Wmfu/cB7r5b9qwhbytTF0Wm4YP/+yPsuuxaAE4dFdSzDQPQRggSd2j8F3VxHJmHidL5cAxpuO04LqSoDuNoU6ZLsd+J3IyNwx6qNG5TyCnSs73K4sKqXHN7Vf8mIo4V1Wh76/vD//C33POwsAm2Xv4dAJx5/OOkHcGOXVxicyVlBcQUlIJYcFzq2tziwqIgghPPYY/GTdePDXJGGRiRjQk1Bs+XU/Srm6Fiitahog0THGM42xZ/YdXPOXFv+QZhnCFkOoUyr7pJnvXJZx4F4NypF8mndOyJzbzvP/52NmqPHHoAgPf9/PsAuOEV+/mOb5NmB9dddj1FFakfGxthdkEYD2GQ0j0h1L1r69hl3H7bjwDwV1N/yJkzwqx5/2/9dsZM8PVgc3Fqmj49gy51Gr24I+4yOia0yUIubXBU4SmlwkGMk5PPSqwLvorlXBJihQUcknR+rEMIGchyBW5Z5DNIIoyToh8dUgis8UOKQ3IvR7WZ19WDAxhFYJ2cWmZzfypLEGN8mSvNVpCdsc4rhXEwitiq++P4lhFWVBKgG/XOjwWN4RO3QKBOc8B45HQOhollSWV80n3HdUzWMI/YsqrnuUY3zHaQsZys/b5+PwPgxaEl0MEPSbjQSJv1yO9HtvRlDRNMkmTL3mIplBVJHaWsFSc74/QP9nHkqLJSSFhdlZ9rtQa+MvCiVBph/dnacXu0fLM+sFVmFTGOyglhvOy9NglJnK+/1/0zTHQZZPtZ39Wld2hN4i5uXpxMrIEboc0C0rCTZIfMs8fO4PWLA+h25YB902CBYxrE29BwfDGl40VZQFodiZgoyPtbqrN0487NHJ3XQ5jvcWpBHnAniFjThEVK/SqWCvgaALl9eZY1oM93XYYK8jDbGkh7nkNbNS6aDcv+K6SjwZvf9G56XXV6j/GynXLQi+OI8+eEEvTGN772K47k7/y+0Ip279rLNVdeA8DkxARt1R975imB8A8MDWKMXOOmEZeFU7I5NmvT9A5dhSz4r9WkS8grX/UmVlakA874+ASzs7Lor7/+IFGUejgZh2p1Igu0Z2ZX+Pzn9bsHSszPzX7F63/ZTP1gCmmVf1Poem/RJWnXByeXLWzpsqfUuthQ6JdNdHBU9WFWa7iDqXaZywWlv0Zxlz51kp2wS1G7cLbaMjdv2j3Jo8eFkjVgcyQaZNVbIR29jqrCzgsFn5SxYH2Pjgb9edfgaaeh2W5KtVTHBQxWN7PckE2NdpdySpdNE2meS79CwkNrCdWx9eVLnH7xBQC++w/fDcCBA7upKEf/mUNP8+qbJdg6PXuelRU5OO7bew0Av/fnv8jP/+jv6eBH3LBFtJse/MKLvOLG6wD49Gc+Tb/C1Gfn5e/vuutelpcW9RnA1i0SCF24MMPkpBxUrjwoVNiRsa288MJzOu45RsfkvdMXp1haXHhJx56X3YyT6YtYm2QwWzk/6oabdfCUTZnsV3pwjg3VQXnP8Ig48iHXspJ+hedyYTmlhsT0+en86ZLXRGXqm3YPDDLdkTHsNBOaGpItmZApDdgremjsNk2mk9PX7zOil1lvhkz0SXDSVBi453nUlQIalEposxqGq1U+8fEPA3DlftFrcJ0u9TnpylOtDvOpv5UOnTfc+ia+91veA8DP/44EbFcfPMB9931ah8TnHa/6lmxoP/C//gSA66+Sz922BR645wkdyjUqWsQwkUu5pOM2OMxTh0R3q6b+aGbqYtY561d/ucaJo4fkMyKHgUGZd+OTQoNtdNpsVej+T/z4D/H88zKvVpwROqodlXApfJSRBWvXafYY0zv3JuvmTsaqNqQdtIyRnAxAHBt8fdPlY0KxH4sjZqM0uQ8Xa1os8mIqmpxptruMKz0oTYrfuW87T54+C0Cl6ONoYDtba9NSv15RLclCPk+UahFWentdEseM6n66oglO33GzTj9J7NJRrRnXOpSVet3QdTtc9Klqp9AwTijp9ca1DsbIMz6mFJ3a6jIFTcgOT46KBhJQ8kss6/NLi2ZOKebcCbm3+elzPHLfSnY96Vg7fqXXKVH3rCuvuUGLHlCv17MArt3s0rVK+TMpZbAHpI87NVZbGlg7EvxdkrOktdIN1jH4XpqMiIg7sieTL/aC2SwXEWP1EGY9g6OHgeWlZQY0sehpArjgerRUE8/Nu5xfSX1TREnp+K0goKh7Vjpdr50c54njUpwbMT45fc7nF2qE2oGxqNdbHSiQ66YHTAeddnSCKKPMFvWwYVwn08yxxsu6SkexZWxIDmp3338vAG9+7euoFCWeu/LKK7nihtcAcCjdP4B/9/+Kb7o4fUJ0GIGVVT+LCSZGQwLtbkVKe/MMuUSTnIWQSDV+6HQxrgb1cU/7zKg+kbXhSxLoKc0lSeJMXqFnOWzaucokvUSB6VyaebTOYgubtm7j9MmT+p0OJuusxboCT88KSrkZHRtndk5ij8rwBA2lb/70f/0hABqtVdy8+B3rwNRq2hE7ptyvdKGgS1GLj6mmzZUTozx7Sijpm4t5cvp9F1daGU277KfJGw+VAcTP++R0b+5EcSYx0UkPlNbJ6E/tjkMzSg/t0J9S0jRuGvJzlPXQGiYJrTBNFuQ4+tR9AJyZPwvAj3zHT7HQlSTVra94M+2OzIVlv8aP/8DPAzA1I3G8ISFoyHrdNTmG6Uh8uP/6/YyPa1H7U5+kXdcoQQv+xvV7mqHG9Aohxs9AAcbVQ6tNMu2i6uAEddX/SeIQN5cjvERdF+Xg3jvsQszc9FkAtu/eR9QRn44WC0gSChpvdtoNyiqh8N/+62+wbCRZ+srLZc+O6k2s6vzFwLR2qceJKGkrxJiYon62TiU2lctMr8pYdjohrsbgjTCmqT5gROnxUeRm2ofWdfE0tmiHIWNKJ1vRuNx1HWItTCexQ1f3kp9694/w5BOPAHBYfc9o0aeYS2VH6pxWmY991+zjFu143jUyJ5489DjPvyAJsno95MbrXwHA1vE9vOIm0UT+24+IBp6TM2wdkTinVGhz8qis4YvnZnA0aIgT2LNXpGeiUHzbhTPHuP2OOwC49d/8JL/2q9I1dGB0c9ZV+NwFKUB3OysYPYs7jkuS+rSgiVHaqX25E13WEgddjOfhptTWzlo2b2wSZkFRqsvl5nJE6oOdfDHTiiLxKBfk9S3VqrwUtLCqaG2NYXotfaYJRaXytbpd8qnOncYVByZGuHBRfJxnyYows80WHfUrfRozeb5PToseuaJPLuvwGtOn9M9u2gHdcbIiTyeEts6rGEOfnt1SredBx6dPdf+iOKbdTaUUDBVHZZ70qBrHUaatmiRJlmJx6HWtTWMm1wWj12u6Ia0ZJREmOYzmBGySw1efaFWrvFDKEavkQGttESeXUvcNjkoNWNLim8EmmoVLOtn+aNziuq7VX902qIsbtmEbtmEbtmEbtmEbtmEbtmEbtmEbtmEb9i/C/hkiulJbT+dIyNBNMcRB2sUozfQ5WRWjUCoxPyeIo6GxIaqVHQBc70lVpZTr4+1bJdP9mdMLGbplaa2NqxXL1lrIXFe+Y7BPUqBzzRaJZkhbocFJldGsk2VhM+BZABdVVLXTiXA107lje5lhFQg8dkGytD4OLaUgTY71cfByQWydu/AM27ferB8oqLRWY5XbXvtdAJw/9SynX3gGgNVG48tG7y8+/mdMjIvQ4pVXX89kWQSW77z9TrZVBMnwhaMibPipuz5ETTt01KbhwPVCOzx1+DxZbda4EMh1pKj5+toCZ88c1XGwHLhCuvOcP3cWrNAUm1oFPXL4aa67TioQ42OD2INynwsLs7jOpZym5qXUIEAqS2mFK+6JhafInKSb0VAwLsbTNHjSoqE0sz3j2lWqVGDThFQAaq0uvsJXp5YSyjmpdjRaEX4lFZ8VO72wgq+V/3aYZFn0ou9S1Ox50pF3F8setVjmy3y9TVNRNpWiz4iO3USfIn6ChKoiyZpBHdJqo+tmYpmp6Lg1hlHtotayCf1asZhdXODsnFTYfvl9Qkv8mV/9fq7YLyiuA/v3Mrco1YtSuUitrhQlRR0N9I3zi7/+owD8/i/+r2zUHQP33Hs/ADfd/Aqee1bmr0HubXCwSq2mQqqey9atMn83jY8xNiYw5FR0f3F+huEhQa40Gi06HXkuA9V+CoUS8xdTRNXLbYK+sXFaNTRYrcgYz8mQHusROBmNEQNayTBOSEfRFFeOiYhl0Y3ZskWQB8vtDqrFzPRynb5yiuiKso6SvsLyZ+qNrEFBlCdrbNBfypFXofC80kMHqjmm5qVC2ApCzul9ODnDqM6lStrYoMe0JOd6DIwKaq46PERtXvxpXpE0kzv2M6IV0fzgOIcUsTUw9iPZyP3Mj/4KAO/8vuu5/DJBbA0O9TO9JhD99/zETxAo2vSJZ4WKumvXTmKtRl915du4cFbmx+pUklVY//RPP8CuXYL0e+IxQQQmUZwJkJ4+cZbhUZlLS7MXqNWEPpUYQRx0Wk2Crozl+9//W9Rq4o+LxXHazRqX1LJS/JejI4yxX86ctKYn1GkgbfVjfKjFcr+3jwtS4uxMjV0T4rvWugF9ug+dX6lT1Opssx1mYsuuViFPL9XoV/RnoxsT6D5b9H1yOiF8nU99lRyrui+utQM66kq7xjCikPqqUoZWOyFz9Yw3g68o12Y3yhooeLrvdyMYStJOYQ6btGo+W0/wK7LuX7ldupXd++QnyetaqK0tiFg8sHv3ZSwdkurztdcLZeTChTNcc42I+H7+s4+TpHGFrQrnBHBYInHkml2t3J47c4Zmq5U9hsEhoU+21i4SJWk51NPrNURhD9GcdtATZPAlqj1mQI6EIEUAJQb8tEvfuvem1VIM5NO9L6GlMgPGMVSKMoeu0Y64ba/E8IDS8cKQIXVO52oNqkV5No1mQFHROClf9cj0ctatrkFErN9dyvl0O1rpTrvlWZPpqwdxTF2Rqb7nMK6V6qL6puVGSF73aL9YyPT1K/lcVm0fHxFk1yOPfp5wWfaovfuvYN82mT9+pSf38O/f+5sAfOsPfiJDglrX8rrb3wHA9NyFDLFwdlrQEUliaSpCp7tapVRSKmZb0DQAURxk3cEGFUm6srzQaziB+RKafe91HZSMXmacJEOXYwvZXkL88qNNHdelWKnSbbeZVPrq1PRsr4tn0qPkpO4onytQqYi/OX/xYoacyBc8vviUiF7/zI8IouvXn3uUfu2eutzpMlySezy1WGOkLHFTsxlRHND5q3HV6aVVHGVORE6v62LR9UkUDegqimBgsMDassSfrrEsKlo0AcYVXTGifqcdJdnzHSg4JIpsij0XX9dvXud0J7b0675aDxImqxL/jVxxI1ffJCic224VlPKv/v77uO2W18u1XzzDzPnTAHz/9/84zz4rY3LwKom3Hzl0N9oni8/ecyhzFZs37+ExFQgf6CvQrqfNbeQfawwmJdalsSyQJD3koOOmHc1cSiWJMeq1FcL0DJXExLELl0ryIROjTv2fwSii7/zFWXKKuEynfRRAoOLWjusS6PMYHZ/g13/+1wD4pz/Q2MLPMVaRZ7DS7jKybi6N61yq1QMGtbNjWePjtSDIOiYGoSXSe49DKOt1pjF4X9knUDp6J444p2jSfM5jUMd8s6LKHM9weknOj9VyHqtj//m7PkNL2TDvfPu3AmCjVY48KrHOq+98O1tGx75s6J75rFCHb3rbNtYaqei64ennVDQ+jBk/IxI9rsJgI5tglI44WL2CC+cEBfd9//on+NxnpGP62NgonZbENwcPXgOA5/rcfrvISvz0+97Nqgqwf+Av/4hqv8RQQ9qV+uLFmMZaGks5GN3/nMIAl18uTV4OP33sy+7n/94M2AQbp/tchK/7XJg4FHRtx76iyrB4RfG9SdjApsLqJmZVW1HndsqzH84Xqaj8Qj0IGNKOiWeX1hhRumpjLSSv+5yjfun8co2u+qI+nKwxjY+Tdaj2damVSz7NtCtnJ2QxZZgBE4ruS5k6ncTSVHRwn+MS614aOJYBjavSJRsZQ17jyUYQsalf9uW5uQ6Lurc3lVHUN9qTuMEVZhkIQi39DpvK91ib9lvgwkyHDCZLPxkK3nPIafO81sqKjl8bLy/PwPV7Te0ssTQTABzd26RbZor4inr7jE2oDsp+vdzmq9oGomvDNmzDNmzDNmzDNmzDNmzDNmzDNmzDNmzD/kXYP1NEl5HKRKrBRZJl+Ey+gA20svqScrdqOxTyWYXswtnzVMZFcP0oki28vBvx988LJ97FYUURBFcP9NHRdujDeZe6p62IO5KZ3za6gwuzooPjeG6WLV0KYwItw6Rtjf28TzFI9UViWnptR6Zr9Gs2uaDZb2MTylod9co5VldXAcjlDZAitQRJUaqMEwSCtHnq0OO88g3vAGD/wddko3BkTvQwKuUSxbykQB+67x6eKIpeRanch6+iby+clErC+bNH2K3p5mMln/mLcp/4RTCSnfW8kFj5uDfffIe899gRdu/ZL+OwOM3u3bv19ZOcPn0OgMFBQeLMLSwSqfhzEgfZMxroLxNvkur4mTqXxIzR/qmpCG8SYtIKl5PrtVTOgDc+iXKhjROvm2c+bkXGNHBl3pxeijij1Z1uM6SuqIlrB6usaRZ9U7XArKIm1mqC9Nu2a4KLqk3mW59h5S8P9BXo6nsXtf10ZAy+l/LDQ4xWbZo2oaTXmbZz78/71BUp1Op2MiHDnOdmbeVDzdjnPI8zeo2+A/OqJRPbgMefkrmx+rBUf646cDPjE1LZPXToWSp5ee87v+tfsXlcNLgOXL4DgF/+tV/jP/6otNX+t7/xPl74oqAqgm6OffuuAeDBBx6mviZzq0/FD6+7ei+7dwkS8NFHH6eQl/uojg3RUvSOq8g313U5fkLm2PLyCrv3ijj+lskt3PX5z9Fp99AXL58ZqVIbk1WrrY2/RPst1etaJx6eogeThHJZqjBBYBlWbbdjC7Km8/15Lh6X5+F1IlbUb9wyOc6qtlwfGSgxlyJw9Bns3zrIi1PipxLXMlaQ75juQKwoFddX3nwlT6Up83Wq1iIVwsnlXIqqZzGulSvPGKxWUeZaHaZnpbJ45kKCTje8olS/Kn1DpHJIy0t13vXzouF1+tRjfOFJ0Y0oavOBXK7AtkmpQL7nX/0EQ1oJHR0bZGFR5kROkYZHDp9gi6IEHn/oc7iRahTaCt/8LVIVvfHaPRw+IvqJLx4W4fvFnM/QsPiVhdlZ6jW9uDjOhGsbzTl9bpbpGRm/W265mW1b5PULUw327pXrPP6C6oRdMltXk8oAqBbjpj6rJ7Bko1SDJcYqIiEJe9oKnzov622wHVJWEfZK4rBUl+d+++bhTDdrdMBnKX4pouvyzVVePCvOODSWfkUQRn1Fuq5WInWvC60h1PkdxjFJKUVWhXj6+rAifvpz4A8qonmhSai+q6/iZtV0q+iXvO8yp/uxF4KnVfhcvsOqXvvq9Ons3q0+U6dkMr3Ou+/9DHk/RePKvS8uTPPQFz4GQLHigaK/jBvgKgLQAQYGZA10FK0WBk0KebmGdjdiaVEq88bLZ5+drvM4si9BEfeiFC9rRf+ym4UkinB8NwMHJtasUwoPe9ekAt5eLoerfmz77m2s1KU6v7Q6D/0yhi86ur4bbYo6VqXYcFEbFNw0Mciq+qORap4ZVbrOaxV7/+QgT+vnxjj06zUElSItI+PWTmOBnMeyahR5LhS0eUIziqmpzsngoDyXrYUcF9UnRr5DrZ7qiiRYX/VItGo+MjDO2TUZlJte/05OnhI/dvLE09x4kzTN+MDfiaZkayXM9MmCOOKFw4K68YsOUzMSW7laxY9bMf3aBOl8p05rWePVxNBXlb0y6iwRary6vCA+KhMAhy+JYZ11Wn3rf69aZC+ZOh0ukdKzfpclDjpMz7QyrRtcDxunVAanhx7StdcNIhYW0iDOYrUhfBQZXnm9oCh/+ld+AICzy3XG1Y+VrWF6RcbolZtHWNKYZMtwiQv1dD6JX9gzWuX5NfVNVsScAZK+kkb4UFfflDiGQCGCUZIQpNcZxpR0Po3pXjeUMyQaKwXtiIb61WrJI9BnkjZxMa7DBRU274QBQShzYOnYcd77b3//JeP4bd/yHv7yr/8QgM0TY8wvS2y9vboL91ZFi0yJH7vpildxPNVtHS9w/ojc+6FnHuX8+bMyqnEMUXouSAPWBFMY0VGPeg4nttk8SpsfGCdPkIpQOwaT6t84vqDP1zNpXjaz6ybvOr3ljsTCxhi6es1OQVBeSWx7b3VilhcEff3UY4/wtm/7KACX7xK0yLZcgTjdNxLLxRXxTddNDFFTDbL9wz5T2qQlBQJdNraFpxfleRQ9GNBzUc73WdMmHq1UkDuM6a+qdlwnoJvqEA3mGFUEaaToMMfC5iHZdxY7ITX1iU4wSxDKz8dPiAbu7u1bec/PiVbbE4/eywN/JPH26fNrzOtSe8d3vgsA1zhs2yHxyLXXHOTitIzJY08/z8yS6NalIE8vNKzOyvmivWa47vJvB+D+ex/kDa8VdHOpf5Q//D0Rv//BH5bGHQuLyxhHrv1jH7ufgwfkfHfddbdx+rQ2RxiSuVYdyLE4rxpNUZQ1JXHcAmdPK9Pn5TZjcH2fJElIIvH/fi5PTKqVWCZI9ZdTQXMbYlINL2syFL0NXFxtfjOnMQVRzIC6Oy+JMy3KayeqNPQ9O0dKzDY0ZtJ5t3dskKPn5Hq6CYxrrOB6LnX1Z2nTioLr0FV9ym4U09ElFyaWvlDm1UhFPrfsOITql0w7oaXn1vFqIdtGWi254KLnc1bnWhCFLC6l/jch0PixNKTNi1ybNYNxPZMxCqw14jdYD9419CvyOw4MqL8zWHxlBjgmz2pNtSgVCTY6tpU0rl1cmMqQzSQhiaJrrZPuYZaXsMeyn31GR2S+LU/zVe2fYaLLiOCmTejt9k52354FvyyQ9FZjVV7sNV0QWkpG7XA4/bwEF7tG5W+iOGa7doR4cGqRTZsVah2G5PVQcHh+jf1D4kT3Twqt6NOPnKShm/yeIS/rxJIECcNKGzNd8aArnZCmioOvRiEHLpMD11qtnXGBgjV5wI0kzrpuLK/WuG1MoKtxHPKFB+Ww+OxTIkB41VV3UqrIQ/+Wd/6brzh6B1S08vzcSWLdjO+++3/yoz/8swBMTm5ltCTf0TeoonvBAhdfkLGcb3tUfO12l3SzICaK87gaNBw5IpSzKAo5dVK6nW3buo3amiz0rVsmqK3JZjO/KIfGSmWQKJSNra9/UyYYmNgIY+QZnfmKd/RyWNoNL01IuBldMoosjiYqUs9hkzBLXljbwjHa/CBsk+hzG1TxwpzpEKmnOrvUZPOkzJuzrTaeUm+OXlhkV1U+Y3JIxv6p4wvUlKK4uy9PWeH2K0FEKafOSGllsRXaH0DoJhQ1CRA2QjramXFA/6YWBhTL2kmr3swSEvmcoRmqY9MANQLtQgJrnQ79Kvg8u1ojOCFimd2c/M0rb3klv/xjQmO86+mPU6+vAvCxj32S02cFFm0+pQm45goPPSMb3T/8/RewNX3WTDAyMqvj6nDunCSqLt+3Rcc9YnpaqGcHDlxBkMiaPXZ6CQ9x4OlhfHLTCFdeIXP9sSea1FZlzq6sLHHdDTdw6DEV4X9ZzYrYpU0yqjRI4hbAwf8ymqx5SQLD0GymguAuF07Jehi+XuZirdNlpF8CvefOr7B5s8ylc/VWpuF69MIS24dkLm3RgOPhI1MYbcy1tZLH14BrsRVkn7emc6nZCrKuOZWqh6NJjEaty6I60QFNxjXiiEJZxnt1uZ6da/ryTtbl6cI5ofH8zw/8Pq998/cC4JfL3PW5vwKgOradH3zXjwPwkXvltVtuvIO3vEmSVCfPnuDf/+X7ATh/7gKDKoy+mh54HQPId03NLdJalIPnG9/0fczNim+5655p/vZDkrxoN/UQEAUszAm9EhsRNNPOrgnE2iWpK77f+Hm2bJeD6fnz87h6b/XV52nUL1H2/avZSyiMCdmpJX3dOi95j3FTnwah3nq3LT+0I48tWkR57OwakxMyn87Uw4wxeXSmnnVjvGGn7HXPnZ2nFsvnHugv0Kd71tzCWiaomujht97oZpdTtxF5pZg4gSXU7pZrmrBfDcPsDGadGEcDLd+FMNU31Xd4JRer1zBXW2NQBe+X6hC7qwCcX5BkUyHvZYnlKEwoVeWeS8V+BoZljRw/cQKA6mAfQ0ppWGhewNXkrmPNOuFmLzuQRFoI8/08XX2tWCixaYuI+J49c5qUxWy76Vxp0Ovn5vXEob0c1nQgujQq4sbxILHraHFBb+NI6AlBq48K44RQn+PxE2fYvXcHACv1RRbmZC+/7PUiR3Dx2aepKq3iqYsLTCp1/2IjzLpYH724zA7d57bouD91fIY0x7yrL0dRc0Hna23yXkqRlmuYmm3g6/Xm+h062j1zrd4h0AJSYVkPLDmTSSg8d3KW4WGJZTYNFpnTpgpPPyE0+cmxcb7/h0VU+dzMhSzg3nvFdRw78ywA9ZTOHCcEHd37fVhcleg6uuiTpJkUHVLPMeTVv8+tRqDFUWyOtZWLcr2lTQTNhfQByT+um9HZndwgNlgle0jrO/iC7DXpiSaxOL5ScOIlMBUulVmb0OkGOK6H8dJYzfbuwXH5Ul61tTFmnRD6wSul+PTCkef5N/9W4s/5VTmQt4IOrhW62sm5NSaVbj21FmRU1wfOLrNjWObTZm0w8OTxGUJNNG4pFqnoNZxZWKWscVHa9Git2c3yK20nyeKqbjeg6acUL/n7lTDE1+5na6tNPKXk+67JCoNpsynXMQR6GMxXh9i9S3zBG9/2XTz0xOflO3RuV6sV3vXO7wagtrbExCYRUP/t//l+brlRBMQ3b5JC9vl2wMUZiYlOXahhdD4tLTV624Dj4pVkDoRahJdORZqQ6TR7He8coSoCuHoULOT9bO41m53sHANRRvl+2c24OLkKSRT0skwA2mhAQnOlSXXTJN66oBcvo0vNL8xT7pPiuaOJ1DiJiDUJcWalyfiI3P9iK0JrJTwx32GLdmPcNCTz7sTFJUKlW034uWwuzS/WcHVdZ9r42ExUvG0SKkob69QDTmr8d5l+7uxah2Gl99VWIkaKep9Rz1fOzEgcXPA8tu4RiZpNe2/iox/4Lfm7cJaLxyS2+sFvkbPesZOP8dBDQld8x47v5LHH5BxWcD26WjRImyQ6GCbGZZzq3S1ccZXQ/H//d/+U5597QUfYcMWV0nX2f3/wzwHYuuMgH/7IhwD45V/6D3zuc/fJE/AsmyakCP3Us8/2HpGf+iCbdXAU33Fp9jiwJHGETUIc9TXWLWR6OrIHahJFCzrGdXsxuudlTWWMb+lKKEheY+JWO2Crrt3nZlYY07l0sR6kPYA4ubKSxUzblI7+7Ok56vpsD1QrlPXazi+1KaSFQv2AejMgVmpj6CSUtEFdsx5QV8DJiCa3LjTaFLSN7MpyU+NhMEkAKrXkaf7AYtC6HPONNsMl8Z1LzS6OOpC0I2IYS9dEkDNK2jyPxBJmbkC+y3UsJU3cPXu4kRU4jMlnlOjqQB9zc7KHpmHGWm2JPi1iWywm61TvZvtEFqs4+ez3OM5L9pZTp0/z9WyDurhhG7ZhG7ZhG7ZhG7ZhG7ZhG7ZhG7ZhG7Zh/yLsnyWiyzg+NlkHwQVSmG7YDQg7adY/xba660Se5TNAIIvdjmRyHzy0CsDB1w8xr7C5vTuGcFPKY5iwRemISdClVJRsaEurjYEXcWCrVF6KnYRQP3dyqMKywlzTMnkuSbBK4SiYHKtLSiULHEpKK2okKY0MfEUQXHNwPwf3XgbAx/7hg7z29jcDMD0pws1LjQ45pXkdev4hPBU7P7jv+myUjsxL9vNvP/jnXHetVApecfOtnL0grz/19KMMDEpm3lgZk+mZ87SVguRFFc6/mCK68gwqEm5sYju3vko+7zOfFOjw6soiV197CwBD1X7K/VUAjh99nrFx+Y4JrZgM9A1x+pRUOf38PNu375D7D0OWlua59ObQK4u5WNIKQLxumvV+n1XIrJ8WCIAAx5Uxf/hBQZO8+01jrKjw8O5tQ1k78qIxbKnIe00UUdRntaR0i+W1Fge2CYJiAIPRasC2cp4zK4IMGNE5OFNr09EqfNEtMJSTZ7Wa79DVyuL5eq8FeV6vdyCfzyhPhYJHv3qDGaUDtBMLRuamZxwaCmlfiQ1RCitXtEK+UOTJM48BsGv7dqrD0lig0W5yYJ+IqQ70D+lnkaXYu2sh7VVFSjgrtBSZ0W2vUdSKw4mTUsV0nYSJCVljs/NN/K5UwvsrOaamZM3XVuW6xseG8HVMBofGGBqUypIxLpX+IVz3ElUnQcTo04q8m1tHY7Q9oXBSKHCvkUalXKCrlMogDjJa2vNH5fc3vX6SFUWC7ts2TDcVircJEyrGTZAnr5XQFLJMOeFarbaN5/Osrcl3XLG5wHJLK32KtFmzAcsKQy6QZ6xf1vdqPqSrCNDDC/I3/RUXo4LRJT9PonBrz3XpU0Hbgoq8X3vr2zg/JZjMN73+O9i7XdB2P/HLP8ev/ZEgAQeG5W/eeMc3s7AkzzPnGxxH5sG+y69idkrmQl1LbXECi235OWxF5HNS+a+vzFJSYWqHTexXiP0zTwriyzoOKIIUt9QrzUYBGdompbhEMefPCqr0/JnDDI8I3R0q2GhdBfpSWqYvbzKaCayjwKavOZDNLZDSHAidVtFbR5ryfN+zd4w1nU9XbR+lESgq0sZsVZHespPw/7H33+GWZVd5L/ybK+ycTj6ncuiq6u7qHJVaSIhWQCBEEmCSwSBzfcH+sI2xsa/h2gaDbTD4GgzyhwARJCFAQkIJ5dDd6tzVoXI+VSeHndMK8/tjjLX2KUlg2a767gPPmc/TT+0+Z5+915przDHHHON931Eqiz/pKvJqvlnnzn2CPJjO5Gk1BDlwaGaMDW36MFSR3mE0oJNTexoYMoq+a2djUFg7KiQe1Tt0O+JjioUcVb10L+MyqVXLi2vi+5br/bTal3Ud+urH1vsxS2uCsvH1fqMgYHJiXOchZnZyLwBXLl2hooLHzXWpoLfbAaE6yP56hI1kLRXLE9Q3xTcXCpW0UYRNRIkZoVXCIGKsJuvmfBRiwwQtqMMtj2hdcYijvj8O4pQWcEOGAYzFJHC9FBEB1nPJKs2uomt+c22ZUKk5jrGcOy2UPqfookud//7hLwLwQ3ftwij9+a7dUzTUlmwYcECrtgRB2oJ+oy2/rze63LpPfPqkn6OpSO9bZ8e4pELHE4rS3ewNCRWV02mEjGsjoMrOQio2306AjVHMUBEWrucypnEVOOyqyF5w4orEMSfOLfP8uX8IwJ233U4mL597drVBgNjbHXffA8Att93KZnNNp7NKsyWfYfM9PEX826G2eLeGzUD8w7ARQDRqn56s0XC4gqNI6VibKFkbj/aJuAduIirfJ3UECYorSoMPGYrcMG4lBQ/fGDKsEeSfcYgVqeF4WWxyPdaMfFNSiTfeiIThGU6fUhRltcJrXyUi7W/7tv8EwPd8xy0pnejuvdPUh0lr+ZADGjc5UYjryzy0NN7ebHa584Cgb2eKRerqm47OjrPYl30vVqT8MB4w0AY7JjBklJqWz/s4OnmXEyRp6BCr//PcDDknQXG51PQ6L63L529uoYzOGENP7dCvTXLbQYnfE/rUiyeOUSnJvnf89Ane+hahoV24eJ6lFfFJ584JIt7zXH7kB4Ta+au/9efpeWJ9c30UmhpDmDwDRYo4zhRxqFINXiYFm1vrYtS2rJOg7euYxLaMGT06EyoU4wZYkzEYz8dxHKzKl9hhDycr6zDuN7/K17qkTsjEKQpz0OsRKfL26Zdkfr7v6/akYvW375hgc6CU5sGQXVl55pc6QwL9jEXdY4ZhyJQi3n3j09T494F9M5zeFHRKQylqvTAkSHmgLv2BNjEYRBRVCP3khqzNyEYszCtav1bETYS3PY/DVWF0xPkaAIWpXawoMvngvnv4e/9AKNS/+rv/gX//H6SRk9F45T/91Lv5qUiQ8B/+0HuY16ZrxVKee28S2ZjVFfFXG/UGKxtyD7vmxvDUlh544JU8+dQT8rk2ZlHPhffddxcAY2U/jR9/9O0/wt33vBKAy1eusrwk35ewYaJotA6ALehAk+6b131YC3aA5xjChEZti5hkgdhwC7zHGf2JXqt14nQfx4Q4iuR64ZI8o+88WmOgDX6Ozk3Q1L3dBBFzKsEQRz6u7nONnjzzZrPPgR2CYh4r5OgmlNnpGotKXTfqlzrDkCBBxgcBjjazy+ZJqcNn1O76g5ChNiBwjUPel7l3XRc3Tpgb8l2x6xJqPFjKZOgonLFhDUYR0Z7utWHYT/ePwSAkTKR8DHi6ThJacxBBQ/1vPHQwaVopwtHrXVlZIZeTfbevTXuGgx4b6hsdXLbw8UcxbhrfBiN0V8zIR+n7/0djG9G1PbbH9tge22N7bI/tsT22x/bYHttje2yP7bE9/laMv4GILouNQ4znY8OkzG2AURtsjFbvkiqGcUe6jK47Ioli8crydxmtEnV8S19RCifPbXB4dw2AmZzLzVrl3uf6PDmUqkCgGdJbd0xR0upA1wwoanU0GARsupItDpSDa3NwuCCVgvn1rrTxBkq5IhtagUra+rYHQ47eIoisb3/rd3PHXW8AYHG1w4vnpHLtxHItb3vL/8H/6JFOT8r9/O5/eC8/9jPfD8D3/p23c3lePmtsqsalq8LR9jypbCytXKWzIRnmW/bcxpkvPQPAgVsOcODgbTLFdo3HHxfNi5VVQWZVymOMqxaHYxyuXr0or52YalXb/W7UAZicrLJzj6A8jr/0HKdOiAbUkZtv48ABETO/cPqxv/be/leHVB5HlVEbtVPhZrCYFA2oCCxj0+qEsR7YBLHnYLOSPc+ppkTDjOBL5y9usH9OqnfVrMNNJbGRvZ7HM1plSjj6R/dMUUk0JfyIuKHIwdDQ1UpWv6NcctewR0VTQxwKipLLFsosr6u2iFYgO70eQaov5pBQrxvdkEArszmtzA8jm1Y2B2FMQ7+vud6hoggpR8UCJ8dq/P673gnAz//s/8PxiyL6XSuU+IE3SrX8HR/4twD80Ft/gn/8sz8LwFu/+dv5xIfFnsq1aQKd9zAKeeZp+XnCpb/7gZexsFgH4OD+OWzS3MF3GatIhj+jCI0wtlyaFx2ubL7AwqKgv3K5LJevXKXX/2t60f4vD5v6lrSCxAgReK0815Z236px1O11ieJE48TD5GVufYXa9R03rZKdubTB/p1qS77hsOoA7vV9jgVqS1oV2VepUlXE12oc4Gkb9HAY0Va770UjW9qnCJNuRuYWYDJXZL63fs0dXV5tp4ivMApSLYBiZZKO2pLpiP29+OLj7Nwh6/sdv/tLvP3v/t8AfN3L38AH/lIqk+fPid/5rAuzqoF47vIV2h2pfj700Ov5d//2NwH46MfeDcC7f/9dzIyJhluxFOP2BGlUKJT43OekYUKpVCBfrAHw8BtfC8BffvyzozJPzBYx3K9W+4khkmdQqu4mk0sqSzFfrkNzfYfuda6XFq0sMTYepr+/RqcStvy/vk7Fqx1yU+KnZneL3QzHivQvyDN98eIqB2bkWdaycIv6k4N+hhcUtplUA+/YO8e4tmtv2AirejVhf8im2mc3GAnY71TEQz8DVrUXs6UiS+t1ANY7ss80Wj32zYhepesHrK/K/t0PYvqKik2abgRRlAql43jM7BSkxI4DJT76aUEUq24x1ngMFM2RKXtcUVSgKUA9kmu4/XYR4B12Gzz6mOhK0vdwXEUItvopsrq5ujZazInAfFzkFa8SFOsjjzzOggoB5woVuroeUxGPOAY7Eu2O+w19HQm6MLoRgs+jMdLoclLkKcBA53h18UL6TteRPapWG0vfW2/V8XfLM63MyPPseIa8otyen19j/6TYWNmPOaiIvT1Ojcd1LhKE8s27pxhPYi8iUFvqdQOcwuhZg+ik5Iby+2Ily0CRU5NjY2y2JG5K0Cyt/oCpmsQeYdxiqS7fOzFRYmMg6yDRyekuDVhakZjl4kcvcPvtgkzfd+Q+Tl4WdMOff1g0anZOH2RjXZqDTIzNpHp9/WGbwCZt4BVpaAxuRvxYznPo6PxiwlQbKRp2UtFkElFhYzBuIrrdFlQXsLVhDtb/yp8ZiIMk5nWwzo0O7x0sDkZ1w+Kgf402ZYJkvkY4X1EGxaLPG77+NQDkcnn+wU9KjPDTv/EvAHj57ix+Vz7ryUtL7JuS+cj7hn2JPXlVnlZdvEht4dCOCaZqEv80jU2nqdcP6Ol+2AkT3+Qwo4iwYc6kuoTlQoGNhsxjoO/tDgYUVW8oCIc46ocavZC+Ns3IqK5XPwxT/3B5YZFf+mWxnanJm9O5+Y+/8c8AePCBV9HVuOob3/QdfPGRz8g1jI3Tj8VephQJ8uxTz/IHf/ouufZBxHBY0U+LUgTg1NQsnU5dnoduaf3BMNVKcrwirjNaT6HeX5xoA9siNlKUCqRr3mK/TB/yOg4LxJa4t8noHOcSDzrp61QsPN4qTp34/xCja2DPvr1shrKnudMag5QyFJXk86VLK+xX5HjBjdidlec/ayocU9Rg5MvfjRULFDQG72YhGsjP51fa9JTpkOx9BddPUaVBDJ6e/3LDPJuKgHJURyyKYgqKbhlEMb5quwVBhqm9gjaenhKU656DNzGhuqTd4SKFjKAV/+4P/jg//i9/CIDf+Hmxr4898n4++1lpivPKl72Sb3hYGD+HDx0l1os7r1qU73vfn/HQK98iFxyP8zP/SpCU/V6b/Qf2yXWGlqtXLgLwuUcklioWT7C5roweY3jssUdkrsanGQ6TmNrqr7eIhm+JSzzXx1c9x/Z1DsONMfheluGgT0bj2GGvjpOr6aWN0LKJbRvHG+3nxk3jKzuIydbEv48dFJ/iTxYYLMgZ78TVdfYmtuTF7FW/tMvzeEnRZIH6pbnJMtWC/H5Q9IiGqmE6DOhrDJE0NjCeSVHMQc4n1pgp45dYWN0ERAcQoBNEZIw2O4hDYt0r+/2Yvn5eVtFazUGQnvEGw5CmIr2a9T5lbbCSSWI5XKItjb2SOQttRKxa3MkZOYNHnOh1+Q5xkOiyueQKMm+1sQnWlpPmTqodlvEJFfF8bdjtpgjNtLmJ5Zq9ZaQn6n5NDTL+Ria6sDE2CDDaBenaDkb90SQkLSbiAalSaOikGxrGScVt3/Z1Qu1pdEMGKi6Zz3vk9cE7OJzVrgH7igUOJUkP7YaXdXxaumrL5SwFDXocz+GcBtnFvBjsRmtAU0WnZ6p51nWj64V9Mupkx6dExM5dalJvSmA1f+USd9wl3/eNb/xB3vn7QvmZnJzTGxo9zr/4xB/wTQ9/31fMXlbn5N+/49+z78ARmR4CDt+6D4D3vu93uLQuSaY4lAC8WMly5bwcIJ/+3AskTIz1jZgffftrAPjkJ97PhXPa5UpFKyuVGgNNKExOTnPqtAiQ79m9g34vEb+WQ+yhQ0foKTXqVQ+9juMvSQePR7/wKJv1G9EhLxmWUdJB/zGMbMQabJx8f+IYSynlz5iYOIGqO4NU9PAb760BkIsNG4kwadYlq0kGi8N8XexpNp/jgAoOGg28nNilruL9M7NFsr5+H5aGzl1RbXOzHTCu9AcHaLQVGooh1mRQSyG044UCYSLMaKVDDIhgZaBBxDARQoxjgmEiSGjJq20WCgW6Q3G4UxVtXFCeoq7NHzrBOs+/IKKY7/7TP+Qtr/5RAN7+1p9LZ133T2bHKnR7SfCylm4+L734YvreYlXWgu8aPIUHv/jiCW67TShk9WYvFbc8dVqoaTt3TFEuKwWn3qKqdJVTJ0/yqld/HesLT3P9h8E4nopuJgHiSPB1a3BmR5mLNIlRKVfZbKoQuonSA+/3vEYSOfEgwi3J+s1kXbJJltI6nNtUW8rm2KNBlq/w56lqifW6BI1jtTzj6gr9jM+JBUky5NXehzbG1c/NOdBRusYgDsi4ck8DDfL3TI3RV0pALpOhoxRtp9kCFay//+WvAuD46dNpx8TYxvzuu6Wbz6FbX04/kJ9Xq/K89u4+xJee/DQA0xO7+Uf/8OcA2Gxt0tcOpgcPCh3243/0LN/wXZKwjzsBvZ52Scrn6Ol7O+1NXvs6ef8TX9JkeTgYba7RcEQPcrOpGD3aqUcEcuWz2ps92htsGTeQApt08dxCdQIH4ypNNY62JC1k2DgcvTeMMUrfjE2PoC/r9623CI1z5cwyHU04ZHyXQuKbrOGsdqa6ebzMoYTGrUF/znhsJPY0XqCSNMfIeJxb00SGBmLDIML1kiAKOhr4DYKASKkgbQ24aqUim9r5anLMTYX0fVxa2iEv1HsLbMzEuOxJsQ2Y1MT7RtsQa/K93VYqrQOednNcnm/ha4OO3ITLYEUEfdubErzffOgWnnpMkh4EDkaTfNEgQ3Va6I8bwy0xhm4UUdBjfl7/Lo7ZXBc77HXbaUOHOEoKIpbEnq6hzJPnRg5DrP5mS5IuOQ077haKWUKxi4h0/1hfWqZQ0wDWs0R6QHnbnXJ476026ajkg+855JNuvnic1+LdwVqJwyqEHWjw7VjDklKF5mYqFHWuyhWXK9rRyibdqHyPoR42bUTaJXh9s57S53qadBgvldPGJLumqyRM9W7b0tXDva+FySO3HOXUKaGHRd0+z78gPuLw0QeYnJaDzNVNTaB1l1PWYCbrMz4t1OwzV04QqDh+IlRuI8tjXxBnEbUyIxHwKMZogsxGFgI90HvaARSHONZux36GGM3YArH6ylGHRYetyW6j825ji6PP8YZQF43BuBlsFOAklCTHTSlJW4s6Izrj6GrarYAvPSmFrDvvuI3xcVlbr7lD5iizGdFVClrGdykmXYEdw3xL4psd+Rz7MzKPUSahmxuuLNcB2DVXo6LxlPVd5rUJgasXF0UWV/eygudS78nzG0ZdjK7VgTboqeSL9PR1Lusz0IOq6/pYtfvkEDmM47RY7jqWf/7TEv/89m9/IZ2TBx94CIBX3/cwTe0SMulPsnuvJOw/+NF3851vfRsAoSbzdr3pDfzsz75D7qfvp13Pxsdmyete32g0SDa2/pZiXhwl66ZBlDTKCi2BNsjy/IQK5Ka0atfx0iNFHNsR/fG6D5F6MNkydtC75ucw6rQIpI1EbRyOfFfoERtZ05fmL+JqR7of/ba75No3hmlyM5f1KCodrYDLssbFs7kcu7Qv51BtwokdBhr/jFWyFFQ0PspErCayEFp07nQiakqP9g0pBd/1M+S1yKxNRNkxOU6oE2uDLn3d23wv5px2fD10s+zRTz79NIvLsjfdede9RJGeoQ7fxa/8vHTr/Ne/8lNyDzvHifR6Pv2Fz/MFbVJ29+1H+f7v/xEA3vXe3wWgvtrkH/+YFJv/6L0f5sgR6VY9Xi1T1uJltVrlve+TolFe7/3ITfv51GfUjg1Emoio19fJ6RlmoE0Q4iggTXo5PuNV2T/KlQqXr2gjoOs8rI0ZDrpgzajxRa62ZW+L0rpArAdZ1y+MbCmGZLNwcznigayLbzsq+YHh5Tq9QPejrEdBqc8F47HUFdudzuXY7Sa2pLETDmuaPC+Vs1TUn1nPcLW+pRESEAaWnFIQ865Do6sFFGMp6/643JE5ruZz9NWwPGMJg5GvTWLDTY2vBmFEW/MOvmfS3EYQhGS1EB7q2S+K4jRMiCMrXf4AxzfSzhZhogO4WE6f1CRxN4/RRbp71171R9DY2CTaCkYCwuGWZjiQUt3NlmZejqt7pglV5kVvLk2mMuo4/teMberi9tge22N7bI/tsT22x/bYHttje2yP7bE9tsf2+Fsx/gYiuoz+F49EnuN4JHQXjwQW46RquqWSZBnRTUzGkNdW4w2tFF6NWtiMQuJ3ZsFVmJ5n6WpvzovNPvWy/Py2kgqs9QfcMSaZ8F4+Sz+STOZmdwCK2Gp4Cv1v9hnfWQNgvJal3dXMspehrWiyisKLe0VLXumVzdWFdBb6/SV++Pv/pXxHUyrJC8vn2TEjrYy/GpoLoEwp/a5uW6mJC8toYYwzVx4j1nvWwjhh3ZDJa7VqYNIetcY2+MCf/wkA+UxETVup3nLrnQBMT86kKK1ur0WrLVnoy5euMjcnP5+bk0x5bzCkq23v19cX6fXq8vvdB9gtjCeef/L0V72n/91hjJVssU0Ewi1pHdSAUZHSVEDYwEj9c/RWPA9HoTHrKv5uvJihVpuqsxlQVIzju7QV3bDQHlIvy+sjKtwbDANeppD1hu9hSvK5a60ufRUyrOv1+sawqCiu3bUSrmblC+UylxRemlO4aRD26SpSqIxhmGTGoygVACzltF14YGmp2HYQBfgqsDgc1JnIS6V7z67dAPz+u3+Tt37z9wLw2c99keMvnQDgh77r7xMjVW0Hqdo+fvZx1hsCY2UwRluvfXl5gclpWQtjtTK9vnzf3JyI8u/ZPZsiei5ePMfysnxuoVjixCmxjb6upStXoVhU0fWjh5iflwrS7r37eOHF528QdVEqSphRK2XCAU5WkRCGUetirVjEwRCjYqWbjS5GhSfxYkxGPmNDK9ERQzZ7ct1js1mMrlPPdwi1yrTcD2iX5PnvzyqdNQh5YFLmvp3PcmlVaFX9IMLVSm9KNQxh6CSf61LQ6ky1XGY5EQc3cj0XF1YpKU2kFDtY3U164ZDxjPiCD/+ZtKImNuw+IOiP6bk9TE8IGucVd76CX1Yb/bZv+gEAvvDIx2kp3P/VrzzMBz/8XvmOUo2btbHGdEVQrH/0yQ9SVOH7oFknl5XXa2vrjE+K3UxPVsgqErDVSdCDzghIk/FT+ig2AnPtevfz+ZEwfQzRQKH7+HwtQpj/e0PRXInwrjWpvxH0xIiGD0oXsgnCNPl7wLFkq0rDUATCQr1BT5tjTM1miZSOkc1n6KlvOr7Wpj8ptnpYN4lhEHDfpDzfRsYnHAoCrtEZErUVAag+yAkNsdqF8aCg9K1MNk92Wj6jovtCPx7gaFU8qAd0hrLW+70Yq7SZnFZIM9bBVdR0uZjl2HMiij63/15cXRdV9aXDYUjOl7WQK0QEiTi0zQlyErjz6H0AnHjhLL6K54fDEfXTy0ClIrbV6XQIlZoZqYA4NubKFRGPdn2HgdI4HN8n1nt2c/L3Ub9LWmO0A0YbSKiV5xtjU1/xqSomnv422d9SofMtIvpOgZ5W6p1KBregcZP621a3Q0tREzvnCqNW4K5LQ+f7/GaPxaw2ZilprNQbcofKKXSsh6tou85giNW/6yjSJspYxrXy3I0ijKIq/FKJzZ4i/pR+dLm+TKEq753K57mwWQcg6MLOXfJ9PmIfF06eoKto/KxvUvr8X378g7zyjSJC/9oH3yqfHw743rf9fbke1+dLTwjV7MTvvYTjKXpIERpBx0CCcnMnCaJk4Q7x84KEdu0m3ThB+ulUuw6R7hOxzeCowHwUg9FGIzahvjq59DvkF9rYxThY+2VC9ddxuK5DpZJnc2OQooWIA0wmoa3YVFrAc5MmDcMRCyOy9LTxygMPPMD5jrABhlbeu9Go09E1tmuuiLMl3krsiY7Dej7Z62RejLG8bMcEAHXPg4zMR70XMVAB58Q3xYGlrA2mDFBRXxrns6wkSC6d+8GwTfK1WeMQ6JqNAkukiIJKQa6hMAwpzcre87KXvZwf+fv/IZ23y3VB5OyY2yefRY4pX/cmOrzwkiDN77njAT71WUE1NzcFHfr0U8fw9PkPw2zKHqhWx1MUdqfbZ9cuQYCfOHlSv9XBzSha0A6JY43phhEJLCyhMGIcjFKlwrA/ku0wN5C6aAzGy2DiiDiXNOmIU4RHPOji5JRBkzQwCV1s1Bh9RiIlkoXsjDas0HXRbLbohmIHOyZzxIrGDRxDU+MmukPmNa6Z0mZOwyDgJkU3RdYjVgmaVhARKGKrr7Y/DKI0bpqdKTJoaeOCYp7TiqjxNPbvNRt09GvHMi67dyrVtpejuSaxxV9+9ENyPzbmzPFjAPzpe96BpzHdE8cv8YrX3gHApctCxQ+GUeq7cCFQxPTjTz3Dc88KVfa2o3KYWp1/np/7BbHL0yc2WFq4CMArH3wLi4sSm3/jm17P4UOC9Dp0SNgTv/Kf/zNHjwo6PowM585KnB+Gg9RnjZaqSZjKZFyHjYacNzca7a2Q1Os7jIPx8uzbt5dL54WmaeM+Tl7iXxvFaX7ASVBVRCMkrB2xMYzvklUkeEvR8CtrDXqKYts5WUjjssBY2sncdwOWXX2PShSZKOb+XSLL0PV88NSW+iFBN2looDmK2JKvJPR3qCpyOcr49HRvmSzqXhOEJO636BpCZyQ1E2pMX9bzXCnykzZLWBsSKNPIcUb02Vh/FhtDqOho45p06cdDS6wxg5fMk/FGaCw8kmZOV65epVqWec/lfayj/lfRsIYo9TvGjBB4FjfFKMdKIzXOiGZlHFeZC/IpX4tf+puZ6HKzku7aknhIkl7Gd9LgNOmsFg03U4eNTfcHjB/zz75PAtym0gtvcmf50rwErBkMLXVe+d6Q3ap91O/HjKnGVAK1v9rs0VDDyGG4pA8iO4jwNSh0+vKg6lmXfFk2rN4gxvOSjWWYcmR7GnhFg4C9k7Jxnz3zEv/mn0lXlrf+wA+Ry4kTPnyTdDbcWH0eZr76rM335Z5252QD/mc//E/40lnhXX/wQ3/I5QVxCv3BkLGSLM52XTaSXu8OVs9Kki2KIw7fLMmpI7fcjbES/B479jj5XELRkHuvN9bpK53plptfTkYkTHDcEpcvXZb50e4iG5t1xmty8Dl79gLVmhwK9h+Y43S6Yd+IoR0eDHz5oREEcjo6RCbLZZgGlNYGuAobN1mPf/m9Aj0fqDPMA1/QA5AP9PRc0e8M2af85c4gZqykHaQSe2r3aWtA5ueynNYFnw0i8urkPNVE2ewHGLX1jX7ItB4Wo2BAXp152E3oTBE7lIKyutakrAFdWMoSDRNvpk7WNQz1cx1cNrS7R348Q1+7tVl1PrlMJtVd++gn/5wnnxLqou8aVl4jWgFJl8h/9OP/lmFTrnHPrR551b7r9vt0lKa7Z9/+VDfu6oJsvNOTVcYnxEbuuOMuhnoQPnTkNp557hQAczvEvjc367QV3nvx4mW6Sqt03QyHD91Mc3VEjbyewzgu1oYjfRIgjjTpafwtNEZ12q6X6kuIRkuaTeJffLcEGX0N0sp+mc9flYSdD+h+Qb8z5ID6pmYYMq62NFFSKHkc0FMbdoGO6pmN91xWk8Os2kfLRnRIgnyDr9TsYNDF1w23tZHQrnNMTYivqK83yLeUrlnxWF6RZ2c0kKyVCvQ25Tn28z7f+PpfAOC/vudXmJqSpNdQu8/0+h327BZK0Mz0Hh55QpJlC4tXecPD0lWoVpbn/E//4X/kZu1EG4ZDbr1VDqZX5+cpFeUw+alPfJonHxE60o498rlyLUky2yGvPq9YmcP3xbYXL4pW0fTMQSKdp6XLl0d/xxC4MQnTZAgse5SQMEmdBwmCrU1baMk/hCRJFGMNMYlmT8C/eq044JZSph86OMvnrspzyhkjiR2g3w3Tg2NnGDFbk7lJaECrzSEDpf94wGnV5aqFcZoAyem0rA+GFLUwMl7M0E66CsYDYvU9vtpIFMGEJuMuDRpUlRbrFR00j8EePcQtX52nrt14202HXfuF6vHSuedT+lSUULDDEBvq3hQbSuN5nYcu990h+z9duYaPvu8UQZAEgG4aY9jYcmVB6G1HjtxPrytBe6Jhd/HiOaIk4WBcbMLtswYvoY+mhxCTQvLj0N/SOa+rvvcGHCiNJtdtPPp0S8oxM1s1eJKETeSQJuQcF5sUDgOHn32TaHPGmnCpVGf55BVJoBcwadfNoB9yIKFFWMuEar8ltOuNYUA32V8tnFMq1UxkSFTMfDdJ1hrURKmVs6zpc+r2O6ktTZTFfsZKDhNaeLt0ZZW85iNzxSw9fR27egDFMl4UnzkI+2lc9ea3vpFYg/M775K18+FPvJef/5V/CsBdd76aT37xz+U+OyGuxm5FK5/1hS+tEQ/lfm3cBO3gafwcg6ZQZo2zhYaRxKvRECcphMRdEiHNOAohTjqCpfobkBRHbDDyB1hNot6YEYURm5ubEEd4ugYi45PRJLN1s+lBO6G/5jI+BdX2s1gKWnzYvXcn33O7xHtJV+rS/im+uChxU8E4hIk9xSF7lSLVG8ZMVFSPVOdurdWjo/GLj+GM7p3V0OKpdIiGrPSIUxvLG5dYY68wHJLzksK40qd9nznVSlpfr1NQfxEXPawe7IqajJmerbB7r3S5O7Bjx2jOGLCnJns6Nbnexd48LU2KHJ4+wOSEHIbjcMhETeL+Y18SnbgPfuB57EDjBxuRycrvJydraSx05twqG+uyDh1X5zToEpMkra8t4qaZCJMcgSNsUihhVJCz8RBj/K9JD+d/elhLHA5FQiDthBelexoY4o5QdtEY3PHzWzoOg5PozkYRP/XGuwAY6JzcvHeSpzWBVDQOocpc2DBk5xZbqhTltaf32B4EaSdZYsuCJsiKkU07+qJxcBySUqUbm0N8lQEI+h12TWhH9brsGVnfMKWyGjF9LpyWa7O5bBrTzWpc9eqHvp7nnn1MryvgpfOyX5enCpzXM5RNtJ0cMwJ8OKTFIYCu6kC+9JRIwtxx6/fyH/7d/6Pzn0mTCH/47g/Qasl7n37mOb7ru6V4/fO/+GsAzM3OEMayhl3TZ3zsAQBefOE5mnWJ3dOmvq6Powmtudkp5i9dlN97uWue3fUcBotnIuYvXcC6Mu9uxh9pUToeI9pb4kttWsi0UYCj1NfMXJWfeFDWY187AO/dN8ETyyqP4Tqp1GY4DNiRTwqBlnE9C2UTLb/OgKHGQY51mNfrKQUWV7ucF9Sn94bRlm7OzkgTKx5SzCQgBC3+2JgJ1bNtNNs4atu5Ypb1lsQgCbWv4LvESRxkDVf099WpIqG+J05tiRElfYuUj2sMJNpc2iH12PMBxiayCx6QJMeh2dZ1V5zgO7/rewB4//s/AECrvoyj/Ec/44803qxDUjU3zpYzudqzjeM0BrbX6NT+1WOburg9tsf22B7bY3tsj+2xPbbH9tge22N7bI/tsT3+Voy/gYguK2gaxyeOElibm8K0TQwmEWlO6QFu2rkNZwTNre3x2TMhmfWX5qXi0S+63HpAaDEVN8PimmS3u86ADcUuN/2Y2SRBrFnYUiHDXE2yuBcbbbKaLXZLHk6S9VVB8erA5cRFyXT6eHQ78t3TtQIVhe6ut+TRuCbkknaM+z//0U/yrt/6bQAKfo2bbhII6cKyoFkOHrzjq87Yc1dfZG5WoF5feOGTcm/VcQ7tl26Gv/CT/5mf/+1/BcDX734jFy9K1v+zJz8CwPmrJ2isybXv2b+ftlJNnnnqC1Q0c10u1+i2JeutyXGCQY9du4RK6WdK3PegIHtOnzzG7t1CeUsq5uPjVdpaSbj16K1c1Y55jWaLzY0tEOUbMFLqYlrrtim0VqiuSQUsWS4xRrPsjuuToHAKUzmK2sUl6imkOWu5+5Ag4Eqex7x2Dey6A9bVJje9iKkoqaglCCmfnFYYFxst8omoYdFnsHRt9r3oGLqKqhjPFFhS8d9i3iejlZPqmFSIriyts6powbjoYZRWm3f8tENR0uEs5zkMFW3QHoasK92vOJPD1bV19oxQBl/24EPMzuwDYGlxgb/3fT8GwOzMDt71h78BwLPPCELm+Inj1AqCrCnkq8zNCvLG9ww1pcIFQZiis9oqPnvm7EVeMSVQ2GIhk8JX5y+e5Y2v/zqZd53TVruFp+K/rufyyCPSjabT2eTSpc8S9VvcqGEcf1SNvKZyFaaowITWIdDULTBuXQ+lGY9prSBfWZRK2bCU4a796puyGS7PS5Wz1xvSVN+0ng0Yj6SiMqEdY5abQ+Z0nZ6qN+npM+9nHEJFQnR66j/DiHZexVGtR1NF7jO+J8LJQEVpa2G/TV2plP28h6/U7qyXJwrFBjs2EWvtcvjmuwG4+c6X88RLUqU8ffEZGloJnFKq4Wte9TD/x3cJLfvjT/8Jde3ys2t2ji89+SkA4qHMw7d+6zdx+oQgbYY9ePJxQam+6/d+n3/z8yJ4n8vlmZoRJFA+q1U1r0CcdHCKBwy1lLp3cpzz5wTdWixKpezq+RcgQUZRABJ6zo1skiFDKEhx2pn3GnsyDqk6b/Ij64zsKWtB95yZI1XGxqTq1lfRVFPwuOegzEslk2X5qvjZZrtLU33LZs5SVDq9r6iJciHLpNJ0zjba5PXncRGidRUFVzHmqnFY1q6K2fJY2oHKz3oJA57KnKzpeG2DDb22sX0VelfE9jyviA3bevsyD5VKmWEolMluEPLMCaFQ2EKUUqnaraSjj8Woc7NxLOV3YNiJOX9FnvWiNiCIPYsdJB3t/BRNg3FwtAp78cKZlDZcVumCsfEKaytrABTyxVQIP44DQkU1F8o1ADr9Hlb3DzfrpQALxxsjHDrYoM51HxaxnWsaG2zZ2xxnCxooqZD64CQotD5GhXenj05QU1Twxpqs3aDgcvd+3edcj5WrMp/1To+27o8LUcBYpAhhjZvyWZ/Zqtjl2fUWRaUmhX5IV0V4k8Y1s9UMbY2rfNen3krooQ4ZtcG8IiWM6TBQeoipZnCVsmysR7tZB6Cle5jnOXRUpHcYw5UlkYJ45oUnuPOu+wFSCYaNjVXe/A0/DMC5qye5cOJiOmflKfG37TX1pZ4jTS+QRiLJg85kCsQqH+D5bop6TymAeNikAYTJ4+gziGiPxHvT/aU/epzGfJl/yHLjhgUbYVzIFeT5RZFJ/Wgch6D+dXZaJBjyhQKOovNiYEI7c/7Mr/1r/uVbBSG4vih7mi1nuCOxJ9+nsSTrf6PdpaVIsTU3pBbIWjXa0axWzjFXkes5vdGm4CW/jwg3xQ7bShXKWkNDqa6xm6Wd+Kacj580vdDueLbbpK5UyyDv46t/9P0cuay83rV3HwAvv/9B9h04CsD0rv3pjD156jO87MjD186iNRyelhj5V//oP/LyB6V5Sy5f5NlnBBW/Vk+aMpCuUWMqDLRR0IvPv0BWmxFlM0X6if9KhnFGQbmx1wJGU2RgovK+9WcQR8keZ3C8LNb8j9ET/yvDWIjDERoZx0n3PEHj6PcmtNO4NXJTToSjyPPxozXK2rAnWE+63Ge4ZbfEFtWsz6r6pma3T1Nj3TUnpKgdZgvaETDEUFO7ulBvpygtci5BU+a+pfRpE8U0+3Lt+UyG5rrEP/miT6xMiXxZ4rlsNmCgUKAAl7Ke+QI3QyGXIFnk89//vndSqgqqaL3RZqMvtjC+t0ykMVuUzBNx+pg9z6SuPbYWR88PlbLE3fNXFpjUdbm21Erj0aXlxdSFHD95lt/89f8KwMSkvLdayXH2jJw3J6YmOXRA1mjQP0KrI2v06tXL+l1VriwIA2Fjs4mncidBMMRRxkOC17lewxiHTDaHxWEQJWvFHdk/bJGoGSHhUAkDJ+Ph6POv7fSo6blpfVnlB0o5bs1K7DlezLE2LzHTRrebnsE23IiCotEdZftkMh5jKuh/ud0jp/IAbskQqd/p6D7nW6hrk7DIMbS0KVm+4OHq+h/q2TAIA7pNsbXAgK+i8WFgGdMYLWGEGGOJ9d6bg4C6+r7SRB6T9FZIO1LG6dnAzzkp68QyYs+FimR1shE2QUlaFzQX4+fKWE0x9bp1Hv/iR+U+W3X9Mi8FlA76g7R7b9KESD4wQbCGI2mFrT7MGL4Wl7SN6Noe22N7bI/tsT22x/bYHttje2yP7bE9tsf22B5/K8bfTERXHGHNlku3I4SNxaSoiQS14WTyxAn/03O5+T6p+v39NxziA48KemlgJAs5XsrQ0szqnkqZDc2m3jM5ztOrUr28Z+c4+7UaVdWM/3S5ytEZ+dmhrMcHrkh117GGrGYor2yMWq+PqZbE1UaXUCt9q+2IqYpkkA/fvA+Ag3t2kK9K1X3Qs/z9n/gZAObmRuitlWVBynz8Lz7AD/29n/6KGbtr522pFsHtt4vWxDPPP8/Kpgj4Pnzn67n/fqkkra0sQFMrIbEgba6+1IJYK4xrl6iUpcLw4MtfyyNf+AQAy8tX0kzuTTfpvc1f5OSJ4wDs3///4fff9fsA7NgxyfGXBHmxc6dUGHbv2ccdd0gV7OMf/xhHj94JwNJynVvvEN2di2f+8ivu7boMYxU5MRLChEQ3ZSROmHKEo3hLhSxm12FBIb39G/bw1ElBogX697mMkwAImC7naTdUs2y8wosbdQBunhljx5ggbqa0ur17Is9dc2Knd7YHfLIuVagBIQWtii72k0y9yhsAFzcaaXXb1oNUCyDS7Hwx66etZDtBQF11kTzfTbPesabIXc9Ns/ercUixKMiLueIOUFFhx5ObW1pe5Jf/888B0GrVeeaY6Eq8+Q3fRskXBFCzKaKa9KZY0JbyL750glxe5m84XGLPnr3yfSvrjI/Lejr2gtiQJWagrXRdJ0wrj5utAYsrsgYyfqLFE7Bzp6ylTDbH3j2ilXF5foVmFBEPbkSOXwWULKkYvcFsoZC76c/t1lpWooNhY/bfKs//h79uD59/VgR6MwX5fS3sMVRtELeaI69ok6lsgZc6dQCO7Bxj76RUoavK57/9yA4OzcozOJTPsa42WM06rGfk+ba1YtM3Fq8lxjQfhmRVX8i6Ph0V5ByoAPWw2WXHTvncYDBkI21V3sTRtZTYT7FYYHxa1vr7v/Bp/tu/EeH5heV1Nppyn+/43V+Vzx8M+fQXRIj3wQfu57/8iqBYD+0+ypeeEr/xm78hP/vjd76bd39QBHzf//4PMjctldv/62f/NbffJj5k45X3c+6sfMfpF8WW/Hwx1RWIbY5oINXIhatXGOpcRqoP4OYKRGnzgoC0PuSNQ7jEjRtGv8tuEfs0o2IWiYYg2KQkZ520IutPZLnlHtFx+dGje/nMo1KJjbWSWcv7RPpMe7VsqhWzf6zIsbU6ADeNlTioTVZmyuI3DkwUOTpbA+BoIcP7rq7p5wpqFaCrSJZmFOEqOuXyRpNMQRE9+RydlurxqLZlxjh0VItnpd4jSER8Cw6ZrArIKgwsiiJ81VeJPFg7q80mCrsplOU9a5uiZxJHlqWVq+mktZsyZ+NTJWqu+J7nXxJkatSzuJlkbeZSrQgbORi9hjtvv5mS6uB95vOfk78LQ1ytpgbBcLSmhz1w5TM6jTV9RmGKZM7lihQKio7abGBcBxvcCNREYksRI7VgAzr31pi0osoWhEASIpp8zOH7ZW39+CsO8cRzZ/VeFDGc9+hqI4Lx8TythviQ3dUsZ1UUa7pcYkY1uip5+dz9UxXumRMfck81z3vPi+5aEMSUdd6qVdUzWu8yrZona3QpKILKcX3W1hSZ09bGHa0eRtERG40eA0X62ijEiRM0gfpiY/G00cJCu0GkSIDVSy3mXi/I8z/5sz8A4OHXfSenzso+9sTTn+bue0Sj5sjBWzCKaP3YxwV1Gjb6kCCzPB+ixD5i/JwKXvc3t+ikJS3Vs0SKVrSRL/GG/GYklnINwlPt1W4V8Nsq7nuDho1xPI+urlPjOGRVdzQMAlCNnFB1xS5cusKeXbIPbzTX8HfVAfjpl93Ek0+d1Y+Ue63kPNoq+D05UaSv+qC7anme7UjMcmC6zIzGSzVFL+ybnuAuRYjeVszy3kvChnC2+KaezmE3jPDE7bMcRWQUsRjhpdoxA32mfgCZgq8/C9hQVFnG67BPG/L8f/6JoJCLuRxkD33FdN26/1Uk9nB2XTRCu70hH/yI6Ly9+Y3fArofP/7II6gOPkt67rDDEsSK0jMxNhWVj8nnFG05Pc3VBfF7NoHoO322Wk2q0me36gEm8ay3BdUxsiGIsNFW3azrOGxMHPZVinKrxtzo99egFpOf6f5sMoYDrxDE0Q/fdYBnX7g6eg9QWfPpqMhjd7JAR5sS7Jso8eyaagIWc6n+UUlZGTtrY9wxI3vfreUcf3pBNEY9k/aUIqdrtjmMcFVHt5MLcVXbaxi76Vk11nNlDgsZXZuuZVODd8/1yCHP1/HEH33rt383T78gGsVPLl2lpdfeOb5OaULeU1LN1TAitWHrWGKFyzgYSoruLOTF137xLx8l0H3GxWI9Ffu3pBFGGAasrcm+OqlxVRQO2btPYvTBoMv8lXkAzpw7zYGDIljv6h69snSRyQlBP62tLOAq6m5yaieDviy8xnWWOM3l89x69DaePnYiRZRahuJ/5Q6FcQFYbXZh4yB1m04uw+5Dsh+//egkTz8jbIEE0VTNeilafTiWo9kU+9k9UeS51b6+LjBWlPmu6r+37apxrzagu60d8IGLYkuuERF5kOYIAP1hhKvfsW7i1O/0YoOja7o3VNRU7JDTOCgcDNlQVF2UichoHmSodlDOOfR0v786GKQsjtaZJlN6VvLUvUSRIaeNYayxCZASB0NOfVhDEaX0qmB1L/YCwqThU86hoHrSmdocp8+cSyYZnXg8L9EA7uMkjSasPCcZenh2tiLRt/yar80l/Q1MdBnpChR1SYMIv5AKrrm+R6ydkBw/6VATjiDf3oD7D0vw/+z5ddCHuSebdNqKwddOCmFIUYOtXhCwZ1oWQDOO6egGuEuDsH4QsqRB1phnqWpQvFzvcnlVjK9Q1GAdS6iJkoxjyCddIBzDgtJ0DuwXMct+t8vNN8vGfejgIZ5/UQLyubk7+ORn/xiA2V1ygPxqSa5kqAlxfk2C7aO3HuGRx76Y/v5ld7wCgI9/8U9oNASOeXFB5nR8rsjGYkfn0qHdlt//xZ+/l0JB5jKb9Tl8WIR95y/KNY6NzxAq7eWDH/xAmrhYXV2kNibX/La3idjh8y++yHGlIDnG5YnHH5frvP1u6o0kTXeDRrKwkhVjDCmPb0sgaQONikwE2inH5FxefkQ2jzNXmiQMxJlsAucP6Sn9LwjDNOkZxRE7NCHRd0g7Z+R1Iw/DkBV1GOMmoqzJq9V6L+3+mSQhnNjSVnFCN7aUVTS651i6mnwIEt9jLEZFkzfqbayui5IDbRWFTrp1bHZjlhJ6iAN9R4Lv9Y0sXSN2WlZxWT+T4dWvfj0A5y+c5NxZoQSdPHmSS+cvAvCFL0hSudevYK38XbOxyf33CgX3yvxFTp6SgPemAztwNJA5fEjWQhzHuErLOnd+gRml42YyLoOeJM5cpSv2Wn1eeEGCybvvuZfDh4/I/edrzF8+x9LgBrg+A8b1kM10FLAlQpjWhmkQabb8TZI3Ma7PffsksDp1uU6gUPldmpjMeIa2p51LwoCsHpaLeY9JFdjuRTGRdhCc0uA/jAZ0NDlVzMBhDd4uzK+l9Iea+r+Nfo9Q10EmlMQ/QHMQkTTM6g8SO4nY3BCb2OwPcPUgkcWg+UiyCtfe7PRpDOQaKsUclxqy1t/69d/EZ479qXz3pvimPXv2pTD4f/oDv8jVnjzHX/jPP03Ok2ufvzqKkD7/BfFjv/jz/zcf/tgjALx47Al+9T/9IgDB0MHS1HfrQTgMKRYlOH7ZQ1/HY5qwGPSbTGiXz/VF7a44BCjr3zdJuWbhVrrzjRhWv+taePY1tpP8jz5zayyOBr5uzud+FeQ+dnqV0JeHMqMBpweEmpzpDQJ89QVRFDM5pntnxmWgB/SSJpEH4ZC1jsz/pO8yo/Z5fq2VutAZFYlearST8z1jGS89OK01O6mdZoZKfQwjPHWEzWabmQnt2ON7bOreuqr7Y78XEGpyYsf0GCvLkiDJ5HzijBaUmiPKZaB27jiGUO23sd7B0QP0whUNekNvFO1ZQ0YPP0MbsVv32aXlNe7aKYfbnHZUbXWWsKH6bifGJt1VcwWsiiKnOH1irB5ubjp4K5cvX5R5Dzo4ToEbY1PyncZ1r9nnTCa5V0bJOaU6kPXA18Nk1uVeTZafvrRJpAfy6UzSBRM8fW9nOMRNKGqR+CeAobGpX0z3qP6Ay3WJLXbkPGpK9bi03kqpN7NKH4lii1Gb8QLL3IzM/VKSnrWAAAEAAElEQVQjYKiJrGZdfu8EAftmxSdeXOqnnf8yjsNA5zehcXRDS1MpQXEYU5rQg+6u/fQGYktX5mU/W9+o8w1f/2YALl+9QLUqNnru4jkcPXw89fiiTrlNC7DYOKVkGBMz6CZyDKPUdS6ve1d3gJeThJC1Ea52e4uiYXp4i5JnhBHx3nSkfC5svMVpXPdhMK6PtRBrLHvH7bdz6bIcfEXGImkyITY2PVVjclbiRbcCd+2Qn5+6WE8TPJO6yfhAWTtY1/tDPC2YxFHMVE2e68CS3mNZfVtv2OdyU2KBndksc2WZ0zOXVtKkVUkbbcRRP61XFiOHvB5K24MwjZuMRs4RllgpppuNTio8njUOD7zslfIZ1du/YpY+/eSHGVOB+bH8JE8tyT5Trck+tr7RYHHxIgCFcoZf/q+/BMA9R+8hVFH4558RKq3juMRanDGui6PNIQbtNVYHkvwza6vkizUA+mrTjpNJCyU2joQDKf9zTREOJMESh/pZbjbtTyGU8RvVxdNCFCBnu6T5x5aE/JbGPolTMK4FfQZuzec+tatLC22sintP6sE5aw1VvdHGICDjjpqDTJbU/3luahfZpJNeOOTsutpSzqWi+9/iSoOBxsoZTYo5/RBPfVvJ81KKZ+RCpEWoija8CfodXCvPZr3XJ5vR5H9pnJe/WiQ4Epu5dOECDT1DdVsdxubEntcX2mS1aJScJV3PkU6aqGj4lrpFrMnd1SW57vGJaZZVEicyHibpRBlZsjoPOd9PqcjPvygxWBxbZnfsA+D4S8+j4T979x1iRRsQ3aXAhOOnTrGs+7KfK2KTRGB7k2pZ4oPrLUrT7XR56qlnwXFw9FyNM6LuxmF3VAtI7MqJhGYOkO1zv3ZtPT/fwFFbqibUeExKNa33g1TOIQhCpjXpjvHwNTZPQAmNTo/LbVmvs65lUgEylxc20njaVbv0jR2dByOTUmk7oaGXdOVJxOqjkCDxS81uus+VfI+BnuNiXcTr7QGraQdQw/gOeXj1xS75ssY5GquMj1dYV9kmx2VkSw6pnMPlhYT2DXagPjUwJOflYdAmaEgcH4aknYbDND9TQENRgkE3pbP6mRx9LY6l5yjLNcmtUQzz5b/46uOGUheNMW80xpwyxpw1xvzzv+I9bzPGHDfGvGSM+aMbeT3bY3tsj+2xPbbH9tge22N7bI/tsT22x/bYHtvjb++4YYguI9j8XwceBq4ATxpjPmitPb7lPYeAfwG80lq7aYyZ/po+PE7ECbW167BHomwbdls4miG3Sp9wcgViFZsll+Hx41IVHh+HCa1cT80J2qi+2kjF/c6uNdlV0DbgLtQSGk4+S14rvU0trO2pZNlf0Wpk15DRqvLQeBypSvXmfEuuoWcjcgqrrxZ9pjQtfnm5j6cZ4KU1gTZOzeQ4c1JoYKvLl3j5w38HgGee+wTPPiPohZ96zbd/TdMGcPPkPgC+cOLxVGivzhr/9V2/AEAWOHpYIKgfcWWeFlbPgSM32u64JF3GnYzDlKLcet05pmdEmLClFI3+wCXSZ7C6tsnUtMBYz54+x67dQsf88w99BoCTJ1/g61/7kMxpa5A2DJi/eIY9ew98zff3Pz+MQry/TKR3K73DhqPXIBSBBAlbtDxzQTLfcxXLbkVpHdkrqJDjp68w1M86s9xgZ1Ge9cDGlLXKUsxmyGmFu60Vyv1jOQ4pMuNs1yWjdJqp2Qp3qn0+PS/PpzUYCgYWcCKbivdm8h5Gr71QkGfd7fYIBlIVmMrnWFOoV3cYkdEK2apS24hJ7TzyLFbXWGA2yWtL8wfuFSTgxsY6n/rMXwBwyy238oqXybPcv+cAJV2P7x08B8DunfvwFEo8Mz3O6bNSBT58aC9FrUZevHyF8hZEEkCz1eXUKUELHjp8M/3+QO9pwB61p/U1qSAtL69TUDTRE48/QV6pIpGFyak51ha+TLD1eg4rKBxQUd5U/NKmVf2UwhgHoHPhlFxeuCL3tG8qYt+kVL1u3iNu8eTZqwwVgXN5pcXBRBA6iMho9bya9akqKmK1Ls/+zv1ligp/jgKPrCcV2+p4mTsVeXpsflWvfURtiMOIpiL6MsW8tLcHKorWsbaHo/c5mcuzkSAXY5vqRnoZbf+e83nhxecAWBs2ia0iJXoX+Y3f/rVk4gBYXFikXBGf+Ucf+w1mdoqg76GbjkAoKJ5B51Q63YfUXz38+jdR0b+rVYp0lIrnmBiUCpAguuIgoNUQ5EWxkOHBV74cgEcfeYJ8TvaC3fvEbucvvMRoqxxVrKDHyBHcmCGVeJOKsBtDSl+y1pIySxKkoGNxy0o3ywx4oS7zXKu32F2VOTi0S5BsZ84t0VAR1s3NAdMKgR/aiJxWFEuelwIAGlp53F3LMVlQWljg4+q+WJ0oU9IS3XxT9rrswKWr1e8oCFG2ALmsT1MrnPMLUvWbHLMESqU8OFNhQxEYjjGUtPX7+SuyL1ZKY7TqdQBWOmvUdB/qOCuYVLBYvsv3Hayra9CAq7SRUj7DmApX9xq6kTsu2IQGmgEj9lss51haFEpMt9tjfU3WS0cbexi3MGphPtwU1DmAyaXURZMgzKNBivg6deIcOxQp1u6u6n55g6iLxmDjaCTC+xUqrl9W97QeJiv35FV8XliU53VTLmKvNrc4vFN807mzi6y7ck/1zYAxRTqQy5DVZ57PeHhaAR/oPjdbyrBHfdNi6KaoiNp4KUV3nVmv6x2MaOCDfsC8ikpnSjlmZ2R/W15WKtJsgUtqV3nj0w0T0X2bVr0TalwwtERqLOWxIrfeeot81sZLnDylTYF0b9y9axcvvPiMzMO+W/jIJwSNWi2W2aE0nX4riR0yWKUMzc7tSqv0NrasrS7pPY2ijowKnw+GETbSirZfxapwtefYFGExAv3FadXbWjtCd8VuilJIzPm6D2uIoyhF3Lz1LW/gV/7zf0uvK/FTeUWI3HHX7XzuSUHfDtyA7CXxQ0dKhomc2MDBvYJkuXJxhWUVSK/Xh0wr2mpoPcqMpBVcvfeO0rAO1/LsVebESpxN/eLYeInxnHzGyasb6fX7agvxMKKjwuuZcpFY6ZaxUpeDGGJFhY7l8zTVXoLY8tijck9v+c6vnKK//PQH2blbqF7f8qa38vV3v/ma3//F8of4htdJk6ZHH/805y9KU419s7uo5GoA9JvKXLEGBU1jjGXQ76bzEGmMZG1MP6XZyzxYDI4vfiwarJMYj3FHTbxI9/wOKXU5GqS0O8e4I/92o4YRYqW8jrdQek3qs9ImUXGEq6gYfzzPc5fqANxSzDKmCJiDe8W+li+vsqSoqmYzYCIvf9ePPIoJQtT3Ur9g9J5nSlkOJBIzA0OoiNxiNU9O5R2WG/oMEJkagH43IEiobpMlegOZ44aih2tlh0gF6icKBSKNTScmJmnp5x44IueHM+fnKWgMni16WH1OB2+dSilr+bz8e+XqMp6/xYerr3SNQ6xn5flz4neC0Cdf1DNBuwEmYRW5RNrYKIpt+gxcnZvjJ17g4kVhXYRBTL2RoMmyKYLq3KWLcu/VGjMzSaMpn1ZL/HG73WRyUlBTC5e4vsM4GC8HNhrZaxyL4Dzg+DmJuYHUiVoHpyLPwOQsxy6rvEzFSfexAzcltrTG1UjWV6M7ZFrnPsIjn6BDix5Z3fNDpckfnC5yQH3Y4mCE7i3UihzUfe7CiuxnQwR5LP9j6en1OjknZbTgJbTwPrGe5yoZn4HGOWEU4yZUSKVB9vsBngaMUdbi+MoYOVzFzSTrKqFs99LGIcYBV43JwaTo0GFbrzHKpnZJHJFX+nqv2yJTEhS454XpOdpTNpTEIookdTwihf6bIGREzU/8ASPavjNiOFxLr/6rx41EdD0AnLXWnreyU78H+JYve8+PAr9urd0EsNau3MDr2R7bY3tsj+2xPbbH9tge22N7bI/tsT22x/bYHn+Lx43U6NoJzG/5/yvAg1/2nsMAxphHkKT4z1lrP/blH2SMeTvwdvk/RypIcQSu6iQ5DjZKKrJZ4oSvrhoeJu+S3Oq/f/u9fPJFuazlzQ63qOD34kodgFq1iN2Uz7plqsoOReB4OYexvGRRgwhqql1jtVLo4RLp9Xzi5DxjisbZNZZnqJxePycZy424jybNsQOD05PPKGSzxAkCpyhZ0dvvfR2PfVampDGIeSBpr+15/NQ/TpAQf/241LnCMJQs9IGqiGQ+dMuDPHPpeQDqvQ7f+zaZ3vf+zjv44HNSsQxUk8oQp5VYG1viXKI5ZDlz6lkAXvXqb8DRa9t/012AoGsunJMK1eTEBAvaarbfG2V3+71NAPbu3c/qilTrl5cWWV3RnGcc4yZc6+s0rrUnVxP7W4Q543hLG29IURvKq6ecxWp7+Z/6tlt4+rRw05c3uhyeEDTIiyqOXKgWaG5Kpv7AeJk5FeN1fIdx1bYJMKkWUpKw961LoFn7Ry8spvonUT+grJWBu/dItvyFq5v4WgEYBBF5rT5HXo66tk3PqCJ+a2DJaDVyEIGr1a+S67Cm/O+SVlevNjoEyu+O4oi8ojhmpuZotOsA3HqztAXP5rK8933vAuD+ex/k1iOiibV8ZZVf/i+/JfesKL1apUxHbf7MuQV27RCdkygyvHRcdLxKxTzlsszlUDV88rks85dFr+KJx7/EG97wOgDanQ5eRsUCrFTCd+2aoV4X+52YnOG0IsH27d3N7OwcZ49fHyTONbaUVD23irzacEvV1KS6MAnKy+QMOPL7X/yRu/nU0yKavnC1w07VzXr0eWnXXC7nqastzeVzVPU59W3Ebm3dnPUzzCmqsKuIhcdfXGbvq6Qi9RcnlhmvyXPMYRiome8cl/lrh4NUaDVjPHJpS1+fVoJMU0HL2PEFsQa0hiMtulqtTKwadQ1tonDo9ge5+Q7RMPmTj/wx3/13pbI9M7mTdl8Qkfv3CjJrbHySzRVZP3/24ffwq7/8OwC88ORT/NqvC7t9fUm+69u//1+n2ga16jinj4uWTrs+j5uReTBOxPSsoE0XLuoapp+iH770xc8zVE2+aqXI0oLYWFLtxxRTu5J9pLfl9fWtcn+5PRkTp2guQIWpE0TXFt0fRYS6YwFeSZ77P33NQZ47J8ijpXafw+NSwT12RuZ2arxEV/WRdpULTJbFr3iuww5Fl8TWUNHKeZiiEE26937ixQUqRdWWiEeIm1KiaVEwDDbVh7QsWa04O34GZ1w+V7c6VjfrTKttNptRqgXR6/YJFZFXLsp13fPy1+EX5Mv+9C/eR3tT1nom56Vi+0kVdxhGFFQnqj+MUs2KB+54kHf90Wd1/mTOHFNK9QMNDgPdn4Z9B8dJhOmjFJGZoMqNs0U82ZQwKsTtZ7IMFSli7aiC7OVrMtcZh25PdSyCjsYxyWf/742vts8Z18GqVh5+Lq3YyxZ4rTC1Uw0xvtzH//XWuzh2XvbnlfUeBxTR9dwZQbmN1YqYusRNU4UME2pLkYkZS/QsHTe1JTRuCiNLT/f3Tx1foqiaqZ41hGpMid7pQqPNsD0Snpmdku/oDA2FmrxnzklQiT06WumOPfk8gKxjUhFdX/fJjVaXI0elEU7sBDz7vDS32DW3h0e+JIjzXbsEVfqhD/8pu3YI2sLN5rj/QWnuM9xo8YGPSDzl6JxZwhROtTR/CqNNWVJ0CoK2SQyn393UefJTPZu4fwVHbcn4nmgTQarJh8mAVYg9DsZJ4tIA7PXVNv3yONzGEbhZSio4/J/+4y8TKgJqdmqCIzcLMu6mmwSR/zvvfxeeolP+xXfdxonz4puW19vsrwqS69hZiaUq1TyeNkWaK+dSe4qNpZrT+TWGMdVYyrlJIyFDrAjyTx9bpKD2lMUhUHuaUY2v9mCQavvGxpDzEi0oh5bu2bHaaTe0uAkqECcND3N+hrWW+NB3/Kaos7z9x34xnbOHXvVGXvfKb5L34vPF06I9e2iP2NCOuTn+4A9/E4Cf/pl/SaMnaLM79jzAD/7E/y3fplqlNpqiXBEbqq8vQqh6k46TipfH0ZBY9dscRdca4xIOGvraGyEA42DkahKIhIGRI7MYEnRsSKLjdT3GV/gmvwzRgBH2YqRTaLeqTWvTMHc8i8nKNf/zN9zMictyf8trTfapbt5L5wW9VC7nyYkLpljwGFfmTScIKSlrIMKkIvSpqGRsiNR3PXlulUCbVLiRwVNbSTS+rm6GDAfaHMpxKCtjxwkcItVazSmCphMaSJoZuD6thsRInXqLXE3itLruZ+vtLnMHRaP22/fs5OSpJ+U+lxf45jcLbuQd75T4KAwtZUUH9YMQk4Bqhx5u6WZ5Tyxn3831VjqvjpdL9ao8zyUMRyg/q9pWka6TXbt202nrfhYN2bVjRq9njbxqDAb6967fJa+i/KVSibU18W/5rMPY2DjXa1wbM3kYgyBNU+SiP0K62ijVojR6hnOnx3GK4hN+4dt2cOyM7HMLSw12V+T5n7ggtjReK1HVPWisnEljpp6NmFRmVmChpqhSN0EMWpdI8xFfPL2ErzZRdFxiRdVP62d1esM0r+A4DrlUqi5Px1FdPrW1YWATSXGscUlE9QpZhxXV5U3i2OUgIFNKtKN7OGrn+w7s5+LCRQBiPYAOByEZRQRHjiXQ68lHGU7Na65lIIFbHEXYgdiw42UI1U9UxiZod0O99mx6bjCJrllvA78o+ZdSqUinJ/cWhWGqI5gyGRyHNLiM7agnyxYN5L9u/L8tRu8Bh4DXALuAzxtjbrfW1re+yVr7DuAdAMZ4lngIbkaFn8HGPUi7TsVpgJwcMA09XvEy2VgurG+yXJeFWsz6bG7K61JNJn+t0WaqJMH03ZMlMuoAlhod1jXREcUw1hOjvmdaNp5DMyUcNVQ/46bB9roTgdJ/Du8Vp3BxZVXEAoFoGJJXmkNmENLpy2JoLAqm8yMfeh9OTg4oDz3wMn7tl/8FAN/5rd//P5zcDZX6Gw66nD4jcNM9D0qi6z0ffRd79kkAsvj8KR5+UJzmKx56DVfPfkm++9yFdErNNX1bkteWfEEM9erVy3Q7coDSfCBjYxUe0EDw8pUGde0eMzY+SUlPNxXtMnni+NM8dVmcyeT0TGq82VyBjc3rC/S7xp6cjCUVok+gkS4jhXAA3SUT+KaBO26T5351dYOlTQl0KtkMGwplLqs99Vowp9TVw7UseRW0vLzeZlE3jKzjsdmR554IIR6aKZPVA+QgCtKV2s3G0Ja52audz3rdPn1V/47CmLzi2zesYXpWNpRBV2yw25PECIDnOVRUBLaQcVlRocKkW0vWcYiU5uO5Jj0HjU9OMdBDxPqGPNMf/sGfSLuxfPLjH+FtX/9jANy2E771zSLA+q5FESAvlXOU9aB09OitnD4tydCL50+lCdV+r8PSssx3ry/fFYYBk9PaCfTKPI88IpTem2+5nZpuSDaUA8nCwjITerDPZJw0bCoU8+pEr4/g85fbko2GAuPdCrXfCqFW8eqECux6Pg/er+KXS8upLZVyHnW1j3xldOCvare3m2pZdk7IZ52+ukkroaAOYi6tiIDq7TM1AI7eNAuaSM1kXQLdcBbCAF83l0mlMTc6vTR5Eg6jFOrcCkMOTYkdB0oZPbfm0O7JZzX7A+Zq8kxdG7G+KUGNpwevky8d4/SS+LSLl84lLppmp57CngsKpb/n9vt55NEvyDUMOuzKSKC3Y/dOHn6NvP7YRyRg+7M/fieZjPyd63pk8zq/bjGF4FfGyixqd6CMHnyGvQhXk3HVsWmURcfC5bM4GiwEug6q49NUNRF4+cxxrgVCX98t9Fp7ylobu8CIxmHDoXS/AkwmP4Jzqxh3WO/x6lfuA2Bxrc7imgTMFd9ltS52kdOE9eZmj6JSAm+eKpBPuwN3WWyJ7eW8DGt1mZyHDslh9OaZGtSSRI6XJsDWCHHVnqYma/Idl/qUair4O4xSutxGd5iKjA/1QL40jLi6Kq+r+QIlvZ7uIGJmp4hzB9p049HP/yWedoMcDgYphbPfDVP/ldDRPOMS656Uc900NbmyscxDr5Q98EN/ImK7uN006DdmBOWPgpBQi2njE+Ns6lzaOEl0ORSUEpPLV+l25b39XnckqKoHUxsNCZW6EroF8prQNlaSr9ersdlX7HMG4n53CwV/JPZqMNgkWaCxlO873HlUDl7zy6usrItvKvse603t1pv08Kl3UwrN3qpPTg84y40eTRW4LeSytLRT8K0T8uwOThaZrCTdE53UllomItYizURVaandAW5+1Bm5pgfTQSempjQtvyqT9/zlIWgHsrgRUlBRYd/dIkys3+U7Ds2u3NtGY4FYDyeV2hibTfFjczPSfODwwaPsPiCv3/fudxIY2VfLmQle85AcJv/gpPgua3xskByabUolCSNGe4KBonaxHoajzqI2lvkNh23iSGwtjrJp8nZELwtIeeI2wiol3Hg2fe91MqevjMMNYCwd7YJovHx6eM7mC+yYk/vKaSLstpuP4BuJ5eYX11jVva6c8VlR0WJlORK0AzxdTwfHsuQ0TlnY6LDe0QOc79HUg9Tdh2QPPbpjHEfpyI7nMdTiy0Yc4vRkbsYnVLKj3U8PgcNekK6Fdm/IvqrsswNNSFza9Olo0jJnoKIJ+0IGhmrrnbYc9q4uHGNVBaJfOP4Eb37lt6ZzaDTpPZOTWMnbXeOmm6XA85u//p/SgsXV0/M89MA+AJaPy+fWN3qgCVCZ54Q6NBwV0KIuxpPYNA4TQf3Olo6qo9jEOF56VkrjlS3UfGuNJmIBG2Dc7I2zpaA7CsOvuR7kh8l1qqN3LNx1WOzr8tIGK2t6pnNdVptiV1lNhHlDS1YTD7vKHgVt4nRlvUNLY0vHc2n35b7v0xh8suhTy8vziLHpHPc9MNphtpx0ke0PiMJEXmBU6Aw6Q6ZU6qGnzQEsTtphr9MNKBW1oYfr8twxSWRdviSx0uL6Jhe0Sc+//bf/io98XBqQtRo93vsnQpuOkueJoa8xT851GSTFBCfGCyX+qWuyyUYOnlLpozhK5z0I7IgK5hhMKpkg/yYdPZPRXZQ15RrDpsokJC4qCga0tdnJxMQEUzNyBl+4eon6ZoPrNb4iZooiruk6Gwdp4cA47sgvahzlhiH3HJT47vTFJVaSmCmboa37latNRZxBREYlUWbLTioUv7LZo6GFZdd30w7l92gR/+4941RLiZxBzEBj8GYUkNF4uqZnomqrS1abcoTDUQFt2A85oDFPV2nLlzYNHfVxJd9NuxlnXYf1viaUkq7WOMS6xxsM5THt1kjMzlnxR4Oh2OiV+Sso65IMbhozRK5l3065j+cXEqqvhbS44xDqfh96Zcrq+/vDAVGUSE2ppJTr00/m142upSkmjQbTpl4jOSEbRyO7dNx0H//rxo2kLl4Fdm/5/136s63jCvBBa21grb0AnEYSX9tje2yP7bE9tsf22B7bY3tsj+2xPbbH9tge22N7/E+NG4noehI4ZIzZjyS4vhv4O1/2ng8A3wP8jjFmEqEynv/rP9YADsQhVisPxjFpdlYQXYkSssIujeElhbY6hYDdu6VCWDU+5ZxmBjUp2M8AWo1dawXMjStdq1akpS3Ou27SdJgUHn9sfcAdRaEP5fC4vC6w7ELGMDOumVOt/t6ye5ZIVXk31zsEKjD9ir1jfOZ5oc3smZHPWmy0KPtSgXri0U8zpd9x5JZXkggrQyK0fO04c150/13j8uoHpQXyn3xSKgKD2OOxRwVpMzs9zguXhYL4uc9+lBeX5P5rU/K9nfUhgWZhXddJ0WoWCALJLK+uLGAT4c5Arufuu29lsy7XOH/pIrNzUtkYG5/ksApI+5oRX1papqt0tiDokNVKwOzsLJcvLX3V+7vuw2x5kVaUbCrUSEarab7H2UW5r0puyL4d8kzKxiOXZP4V/RvnY0wiRtnzyCtUeqZWYFOFjK3vphSxrr732aUmt+2WeczGHhtKFcw4Bl/pC8l7b9o7xdK6ij9HhqZWcm6pFDmzIIL1ZS2VHt09w5U1QWGFQUhRM+bDCEoKx17WykTsgkkWBnEqOn3kwC3MTEh1ZlFFdf/4z/6AR77wcQDe/KZvJqkK/tZ7fonff+/n5XPXxIb27NrD8y+KmPj5cxeYULrnrbfdyeVL8vNKpcbVK5IXX1ySuT50aDfttlTr7rjjthQqXa1kuXRJ4MaXtBJ25PBOjEmQGVluOigVi063R7N5juEgoXtc7+ECAWkZxoBJqbcmpewmnjcMAl64LM/ONS6H9krFxh8aqnl5Ngndq+85dJsyF2sZw45p+fnURIHTK/JMXS+TVo66ivJZczIMVhUd4eV4flmokDlAmSQMFBF29807qWt1vdca0FL0Q9XNMr8qPq2i8z5bKbGi3IeC65LVqk+MwQ7lPte1YtoINqAr1yh+W5FirXbaVnh5dVmnybC0KH5werLEx578E7mPjXUCpcwlEOtsroKvlcl2s04YacvxbJZIhZuH/X467cOwrc/CEg3kdafdxVca6I7dOympmOals2KLu3bNcO7iRQBuvuNeTp2U6qgdriDSoTdqWGmo4rhSfUdQXLYr9mKjAOuowLmntIm8w4krstdFPuwal0pbyXFTxFaCbzQ+hApvX2k6HFSE6GTV0lxX9LIJ0QI4fZ3P0y3LYUV0jbs5XlqRZ5V3LHqZ9HR93X3rLhpKIW7VezS1qnfXRIVT6ptKCgG+99BOTqmvt8GQrFLG82M1or6s+45WAHOlPAMVhXXcOK04h2FMYluel1ANbfqYjGvS/cvN5Pjil07pe3QenSImKW87McYonbsyTltpuJsbm9iExqPrw4YD+lotDaMOpZLM5WAYMvIFiSi9myIlgmGPy0rHNm6BOEz29Os8jMG4PtYdQpxyIUYICuOkdDhT0HUTxZy8Is+umhmyo6bix45LQRuTJGhM60GoqOE1z6Zo01oxR38oiKShDVHGBh2tYl/sFhmblue/s1zheVUnLrqGTEYRvYqqObhviraiXGt5l6buMXdMljl+WRsMqaiwE1o8RVj4eR83sXnPo6AyADYr7+1FHdY3xPcEdoCvqJpXv+Ib+NRQ9rSpKRGaf83XPczvvuv/AWCzuczYpCDepiYm+MwjQpuOFLVDnIeE/ux4KcLQOGaE9DLQ74hfNBn5DscxWJsg7bwtle6YOBqh6ZO/z2gMNRxCRml7nu+nIsQ3ZhhBksXhSCOYkFjXw+ryMp/85KcAeNXrpWHN5OQ4T78g4X01EzKtaJiS55NT+k4CPIpdsLp3LHVgZ0588ng5z2pz5MN9XfebGpufbkTcosiICTfL88uCIMs5kNN9NEGIH71ljpZSt3uNPk1FPuwZK7OwITZbSpzfVIkry7IubBRTSKQ88KkpIvMtb3kbADt33MlOvcLnX3r8mlmbnpi6dhYdh9e+4usAeOSpjxMEco17Zvbye38gkg/NZh2ATGYS19sSS6h/c9zMCECOTdGCCe1QkHe6ttOVANh4i6xCekUpEsYYi9X93bhZXC9POLwB2Ajj4OSK2ChMm3Sk8jR6V+jZyUkUKnIOp7WpQM2vMqlxddn3KagRpcLbDgzVPja9HFl970Q5R0PjqaExqUh9oNdwse1QqIqNzmSLHG8JmikDlNSWIj137t05Tk/30qAX0tFrn8hmCYba/EeRQC3Ppa8NWvrOEKNU6jifZf+MIIBePCd7Qm58gtfdLfaRy+XTmLfZ7FBviI0m8ZO1llzS+MQZ9UOJuzG33/tWAE48/ecArK/WUzuJowjXVf2ArUi6LbTqlKpvRoyeQiFPpyv3FllLtSJxfKOpNFnHIasMlhdffD79O9fPcP7SOW7UsMQY46YoLrFzvf44xGqQ4ijaKDQup67qMxq2GFdqdDWbIa9zlKQXQiyhSry0M1kKio4fL+cwTdn/IgxFfQ4DRdid2exxJK8+zM3z0oqcbQquQbc5+tp85/ZDM7SVBdZtBHR1k95bLbKyITHIlKKnzcwkV1YE8WeDGCexq8hQ0fPcfDM5ZxoinZNc1sdGSVOeHPmioEBPnZOcQbbkYfSIZJwRSi/uWc6qWL9NWHSmhI00bolCjK/SKe2NtKlcbXycTkf8dhAne5sFbTgS44+cvx2BzhO5iDgOR8dzZwT9tFgcJzl3/NXjhiW6rLWhMebHgY8jp793WmtfMsb8G+Apa+0H9XevN8YcR07GP2WtXf8ffDIQgHVTrqeNAtII24wWp9GuAfmq5e++QQ66j51fpqzw91o2w6RymjtqDKXQpDSgzXaXbixP+7apcboKY92fcfn226VT0oYGLE55jKcv1OX3O8bILsjC2Wi3aIfynvaCOObb7tgBekA5eKDKo08JrbAdxtx6SAzOiVVrop1nelYojxcunuPuV3w9AE8+/lHuf1DavDx3/CkA7rr1vnSWznVWefCAdBJbDje4eFUOZ3EozrFSLPHWH/4hAHzj8gfvk245T3/p0zz9qFx7aykJ2Ebc/DiO8dMN1iOrm3y73SYM9TCiAe/nP/dkmhy0cY5X6IZurcvahnLQNVESBC3uuP1OAI499wh798n8RlGM79/IfKwmTrdqdG119q4F7SblaLIoW/H4gddIoue5C8uMaWKhiLuFTjFM/7yukGXPWNqB2tP0OKFu2hNZh++4W8CPyx2FclYmePy8LIX9O6vs6Ystn11YxVXNkuaazPP+m6YTyROi2LJySf7u/KBBqSzPZ6YizufiRjftrujHMb6fwHttyqfPZhKqnKGhCZLqnJse1D76iQ+S0+e+e7ckLD/7mY9yx1F5fp1+nSfPiK7clctrnHlWYcqx2Pb5C+dS7aawmEvhshtrK8xfkQ3+1qO3MxjI/d1+W9KVLEw7U3W6Q7JZ2Tja7T5nz0kAvW+/AELX17uUlY+OCZjUA0kch5w7eyYNyK/3kEBzi5aFtaqrhBhD0vxLk3CFuRLf95Bc2/OX1ijowShTcMhkks4rcq1Bb8BAd9z1TcvzSOLp9rlxCrrxzeZ9vusuoWO19aDnlcY5rx3KJidKHOrKvC1u1oXXD3TV//XLeTLazWd8vMLx07Iht+MBlYpSszUBkY1ismpLXhSluhVhBGVdBy3VS/z2N38H55bk0HFl4zjLy9rlkZiHX/N6AKZm5KDX63W4716Rc5yYnmF9Ta59dbGOQXzcf/uNnwfgXb/zTi5dlAPmmVNnCJVq1m1tpnS2wTAmUxBbyGYkkdjurmKH4q9WV5Yo6gEZA4EmVaZVf8L13EQahMWlNeZ2CbVhZSUgbCcQ/OsHxb9mGEeCNg2+bdAl0YVyMqWUvu+WNem7N+bblcZz7PwaM0oLyxkPX/fDoQZRdhiyqXou+Y7D8UV5JofGq2R1X6x4Dj/4kGjtDLSzWbY2wfl5ud/pyTLxUAoi82sb6SGppTS3YimLmxQt9hTZPCX2dGG9QVH1TUoavK+utcnpoT1rXAol7bA5HNDriw0sLAr1ojYxy+SU0JQb/Q2a69phr5BJtVJGnSpj1eyAib0Vvu3hHwTg4rlLbMzLQdTxxC6wlZQKZuNWupa7nd4WqYRY+WeMDmNuhigYaVdu1jWpG5M+u6RoYIjTRJfjemkSMwxDnEyWuJ+GdNdv2OQAbEaHXmNGiap+HbRIY3Tei7UqP/iQrIFTVzdSW8oYFzdJdGlRcBCENDURWu37XF4T+zgwViarB8ia7/Jtt+0DYJgUIYo1jl+RmKRY8DlSFVu6sl4n1uscKK84KmTTTmNkPWjJd5xa28TTvStIHocx6SHLiaK0y+8giKhoYrWjWjI5z2dqQuLD2+4/xEXtGvZH73sn4zXZs978BtFZ+pP3/z7tpnaVDgeMlxJNnTqPfeKYfHmkhxA8rJZEjWNwvYQS3k9j0+r4FJ2W2HQ2K/OfyzlsrtX1sZk0iWutTYs3W3VJgi2aOsNADxwmvnYfuhHDWnBI7Ve0VRL9zxCr+9YXvvgYAF3b5UdeJ3HO8ctrzGkXWElNq/as/s0wGNLV+6oOPRY18bS3VkopsmXP8L33y16X6HIVxsZ56bysvWotz6Ge7nUbTSKdx44myirlHDn1PePjFTrqmxabLbJKJ6tot+q1jU7axdm3USrl4eVc3qJaSbt2Jemt0fiBt/xD/tM7/xUAl69c4c1vEG3Kd/7BOwCo11fT5MS9L7uP7/um75FrWN/g8vF/J/MaqD6ZE7CmOrZxPMTRhKyNwtGaThNhycxyzZnIEqfXLms/SVx9ZTxkMTiaLbE2Igo7X5YIuU7DGKWLmxFVyWzRXTYw6oQrNpH1fH7oVWJLJ+frzCpdNTKkyc9s0n03HBLEaaWLK6t1APbUynQ0kVk1hjfcLPGHNj6kNjPLk8cluVWr5jgSSux5eaWeUsCCtry5WMilZ6FiyaGv+1R7OEj90Oy0FsRdw0ZTrrEZRLia/XeI6KgGa0Jz7tTr9ORH/PKv/jwbmug4ePAg5y9IzBvrPue6Nk0ABET4KmfiuC4f+sOPArC2uqnT6xPp3zledkTBN4lmMWBjHI3p4miLLel3dLud9N4Gw4Cm+uO8npMHPUsv0S1z/dR3jdVq1DfWuDHDSGE5DtP9GhtuyYLEaYIrYXxn8gHfckDuf3EDMgo8yWQMOS1SJ2CFYTxkqDGTHbosq1/aM1aiqTHvhO/wptvEloynSdWZGY6dl3ser+W5LZJ4Y355k1gTlcOWdk6tFSmo/mit5nJRz4GrrS5Z9UGTWmjcWG9T0vNgyCDN6LiMdAszesbLBrCxKd9RmXYYL9QA2Gy2OX7+JDACnvgZyOs8bWz08BJ9Otelu5LVmU40AC3WFT9q7RCrBXYvX03rPO1OB2LZm1ztACsJST1/hsMRTXpLsj6JdcVbbSVOJ2d1g/2K7tFfOW6oRpe19iPAR77sZ/96y2sL/GP9b3tsj+2xPbbH9tge22N7bI/tsT22x/bYHttje2yP/+Xx/7YY/f/G6GMjrV5Ym4o0gsEpSOY9OylZxm59wAsLksmeruZprUtGdteOLLFWZhOkxISXxc1LhjBDTEErgQxD1lcEnTC3u8aaUigaCjXOOBErCoPeN5vnakey26WsR6gCu7t3ynVNFIq0VIy2Wi1w681SCXrp4hIo9DCffK3NEmn2cs/BW3jooYcBcDL705m46chtXzE7B4sjiPRmY53Pf+4vAfjRv/N/AvDnn3o342ZH+p7zJ4S62LcexTHtNLMsmdeIIK1G33fvK1leFtTNgQMH0y55xaIlpyiAwUCF+Fca3Pey+wGYmalx6ZIg12pju7h4XlAY+/ZK5ntq+laWF6V6Mr3zNkwklYtyuURSdVq9VgfxOg3NHo+KXvoiwWpajGJLnUIiZG05v6yIhrEi6ysqcjpTSoWQu4oKnMvl04/N2JiSouEYBjS0KcL0XIXVnmSuN3XuTGPIkqLeDu6ocFKrUMWST9zQzpxKbZsoZliuJ50JPcqa7S9FcYoGDRRZt9zq0+0niIcQR1PucWwpKIJIL52c55JXaq8duDgFubbJyRnQauvsuECt//kv/EdeeEm6db7jd3+Lh18tlcvjZ+fJluW9g1WZp0vnruDqumq2RrB0ogGOJ2vk5KnzHDgg6+K5YxcA6ea3e5cgDIahy6nT0kmx0+kyPi6V91C7iy4vrdBQFE+pWCSnVQ9rh4yNTbJ89fp0Xbx2JF2KYmxKMYlTAVVjLVY5rW5ZkUfrHS5uJHTWEitqS0d2lVL91TWl+UwWs5QVClzwnVRgNutDTStrU+U8ba2+9WO55zIuK0r5nKl5XOrUASjlXbyG+L0Egj1VzNMYJBUtj9kZQQedubSKpxcUGbGlhY6lo3YbRzGVROTTGooqirmjJBX3Bx94FXfotf/33/9l4liQnPfe9XIuzwuV8qGXC+LzhRdfYHNNfMxjT3+G/+OHfxKAT37+MdauSNX0nf/hJwB4x2906CuUfNeeg5w6IVQ04/ijapHrMuyrCKsjFfpSaZKxSfGhcRgTKJKgsdHE005LzYY8i3ajzz0PCv3m9KlzNOpybQ4xTl7sP+4p7fJ6DytC9MZLKAnFlA5lXCcBWeIU5Dk0V/ucWxTfOTteZGVd7mH3eJ6hUtPaCqcveh5jWoU0YUTFaNfFYYTpig1VJ/OpyGqkHe2CTsj8uvi/at5wUREpuZyLo533kg6tE+Uim9qwwMs5TO6Qdbqx3sTRPbCnFNKFZg/P1Qro5DiRdiAbBjbtfjY+Js0o6pubnL0sKOXZPTP0lNI2DEIcJ6FoJkLKJtUm6A+6rCwKsvDjj3wRoz7PKmpCqA1yXa7nAVKFx0AcdHTe/XRN23AkAo3RhhhxNu1Whd1atdTqdraIo5XKYBgyPlGT59LuEFlvhNu/nsPGxIr2SVAf1lpskNA7HBI9hrzSXXtBwCVFU1arWZbUluZqmRRNn1b6iakmNK8gpKaom2IMVp9/IZ9lsSXX0FfkpT/ssKbPzjchF5WmlcsZXPVNsQrJ75gosdxS+yr6RNqNLt9pptRkR+e90YsI9bXnWopJFyfHUlWkr+1pw4DhgD3aBe8f/Mg/4t/8kjT8mZiYJutLDPnOdwqN7N57HuTgfkExn3/PRXJKm764usbOw4IKczqyh1XKY5w4flzvp0hHpQqMkyGXUxpTfYPde8QPTUzLNTz79FNblBMCklhEEHhKSzMJpchu2WsisllBCnh+Me3gfQMwODIcR+gnun+7WQ+jlN44jhmfFN+40lI6suukcdNYLc/CqqyniaqfNtBJaLXGFXFlgHA4pKIdywqRwXZlDiqTBVa0YYGne92wOWBJqfcFL+ZqRxtw5F1cjZsSxMlEuUhDBcidjMu4CkdvrjfxFL0aaEfFpcaQgcIFM65lOmm84nrMK6J46pAwKA7su3aaZhSp/IpXfj3vee+7AHjtq2Sv+8Ijn+G22+4A4N477+fJY9II6nff/zGcgjYHUt/kOO5IjiEOU1SfbBEJAiIexbFbQhC2uBS75VXalyKhyjpu+g7XCHIsea+9Nki+fsOKf7eDzRRm45dnsL7agjEEXaE0+4o2HQYRF9R+xsZybCgFsVLycDUW8tTwh46lrD8LBwFV7aCRCy2x+qY479FUCmFXGSzt5Rarin52CVhXAfBqJUvU0IYdGueMF7NsaizkZ1xKNTk71RsdBhqfXLoiyJx+uZSioiZ27qTfln0umylT1s59p1UQ3XMtn/uc0KcL1Szocz5z9lyK+koiWRtbQt1jotiSVUSnV9uLk5PPM06yzwXYRNjf83ETdpS1KcrfxuFXEfq2FLVbfH8wJFKqvXH8tGnIpnaRjLGgDBbjZ/EUMTw5VqLVlPcEXO9hBcHlGJF9kJtK91RrLbFS6f2qnld7Ba4oO2ZiLIv282Bto0VBZVUKOlchNu12HvSDtKOwu4U26ORdGnqOC5R273ZC1rSBSy7jsNCSa8gXfNy2+k+NRcbyGVqhIvV9h/E5sYnNtT6xHs6a2sjj6maXYYLotTF5vU/XiSjmtLGXXlfGcdBmoBzYeZC1psRBd955LxsNQfPHisp2HMtQ134URaktLTdjcPWpKXLZ4mATyQVjQRHs4aBFlDT28bIiIQG4+vfGRMThyJ+kHcQdP+06mXSQlV5xye+dlOZoMFs6MP7V40aK0W+P7bE9tsf22B7bY3tsj+2xPbbH9tge22N7bI/t8f+38TcQ0WWBCFyPlFceb9HowmC1KhQGqsU1Dlar2Z5xqaioaiGbp636QHuV4x0EMbNFeT0gZkWz8UM/oKwtjuMwRPWxObssL7548jG+4z7hjH/++Cn2TEkmuLPWIa7J37WUr9ztBrQVQRYudWlrFjXv+1hFzUQZrah3NhlXActv/MafpNfSNujBZfJF0S4quV9djD4ZJ06exGq29I8++HsAHNizN63NhPT4kZ/4vwD47r/z/WxcUU2MOBHzdrCa0X32meO8+S1vAuDUiWepVaVCPxyEaTUmk5FPbtRXeP6FFwB4ZfVl7N8nlctCvoxjpCoaRYnAZ8DO3VIRvXjxPJsbMu+LC2vM7Zj9a+/vf3sY1ehKKcKGlBtsLK5WqiNtPDA+l2Ooleyy41Mak4x7MZuj2ZdywD6t+EWRZZ/q5wQmYkHtaTaToagVS6KYq22xh5Mqcv/4mdP8yNcfAeCpSxfZOyb2tL7cIldT8Vl9gifmmyQaoSULlXLC3+6S0xbLHa0w7Mi5XBgmIr82FSMOgXOqq2OUo355sc3Bmw4D0A7WmZzUZz0ckNSJX/1q0Yz7iX/499i59yAAM3M70krIxUstMlaqzLkJqXI1NuvSNhdwMl6qGVGqVlNxUC+TYemqVPHGqlJBOXBgmqa2jm53hnjuqNKdTRQdY7Gn6alJJsYFvdMbRKyuSjWtWMhw4OABLpzZqmVxvYYRzri1I/VG66WdCSwRaIUsTGxpRzUVZ6x6hoy2/M37GRZ7cq+JCHQQRhwek3sKjOWKip9ubHYoZRLdQYdI+fLPXpCq2XNXzvKNtwgS5i8eO86tc/Ic/SBkWNHKiFbbugNLoEiJtY0enQT9k8uy2tCKlK6HmSycVeRPLwjJOYmIreH8hlz75JRcy6te9pZ0lt77wd/jGxWF2h0MaHelyv+ml0mvklLh01y6LM/+jd/wnXzX698OwB+++wnuO3rHNTO+a+cMjaa2jjaW2B7XR2GIwy3zrj4yaEsVi2yBlgq4dzpt9h0QOy8W8rS0NXyjKZXWemvI8pIgtobDOp2WrttgM9WfulEjqaMnSIc4bOOXZT9w/BCjGhrRUNbIzJ586uuLro+pyrOqZLMsqnDsVEUrmVHEbq0gxy4sqT1N+B5F1XUoGUNfm52cW5Z5/uRLj/HNtwqy8qmzC+yryVrvN3oMKmrfWnFr94YpQmptrUdbUTRBCHlfNZgUvjKbgeVA/OfJc+c4MCt26nqwqFXPulYh1zpBqiqzuLaQ+hOLSRG4QYKO9jwqO2UeymMV5tcFCXru/CZ2kNTD5d7LlZ10OolMqEPi54p5j57GEBFZrE3U7ZOatElRrjaKR6gsG2Ad9TW6Pmw0wFWtOBu1yealEl6vN1Rb6QagJowRLSXHG7WPx2DVX+KSXnMiYj5WLTFUpMeY8fHK6qezWRoDma8xRRV3wpgdWul3Mw7LXZmfHfkMY4qgyXmG+kDs9YV58U1fOv0CP/AqQX0+c3mR3RXxb+1GjzB/rW9qdMJUoH51rUVPY4dM3qevAuPrqq83ngvZ0BitP4zIaNm3Nj5NXfVW+or42n3TfXzTN343AH/xsY/gOartaD3affFNlXHRqXvyiU+T12vctXtPisJaeWaNopF12bbyxefPXcQoSnIw6ONr548g6DMYhOl33HJUPvul4yf0Z53kqQnCJmligMXVPS9UpISIdifIFy9tGhRRSdEWN2YIksvaONW6iQYBjqIFTcFnQfWkPEW9VKplBrqGJoyLPybvHc9m2FQ9zkpK0rDMFsWePM+w3kvWVkhZYQl+bPFyso7Or8nz/9RnH+ctt4lveubiEvvVN9XrXSK11URfrtMZpvKzqystWop0HwxiPEVXtPU5zXhDLiuiqzQ2iaMNge64636+9Qd/Xufkq2uiff+bhUVxdbDAgUM3A3DXXS8DYG1lnRePC5vikSc/x0+8/Z8A8P4/+3giaYPjyDMtFqfIZuW6mk0IBoIKMcQjtKjrpsLb6To3W/3RqFmHtaMmHiMh6JAkEI6t3aJXGHKjsIG+7zE9O8nVS+vpd4f9Ol6+JtcRtDCqQp8gWiZmxxiq3c96WRwF3o5nM7T0TJfTc4hjY2YUxem4sNLWz8h6qYZQ0TOs9+S7zyjz4PGzp3jNTaLBd251nT2qHxh0A8KaPge9nkYnJNT5adf7tNSHhpEh7yWsCfmu3lqD3IzEwiZT4l//nCBIP/LRv+DkFdFxOnpUdZByM+xVX9sYrPD0c08AYI3B6B4d9PUsks3S0f3TYujrGWbxbJ21Kyrcr/fQbESpkL61MNQ5M8ZgVJetVCrQ7qhOs+5Jvu+nAvQYk2rN5jwXR9dVbBO/7WJUtyyOIwJF6Zw6e55rIIbXe1gLNk51xyBOkWzGc1Ph9FBRU2PjLo4i/rKRS6Yg978zW2Z+Q9Dq+8ry9xkX8rkUQ0dLmy5VwyFW96msgZ42Zltty32+76kneN0R8UsvXVjggJ7n2o0eNpfMm57VhiNlqvZGj4bG2EEEGZ23ZPvYkctwoZ2w0mIKCXLRWs6tin/I5sROzi02ScC/F+bPMzUttt1uD7nt6N0AvPCS6H0XPJ+O7mOON2pEdOl8iFVxaaN+Jhpu0UBzfVCUs+tYvIw2eIhJmwRGKdp9gEliI0v6GbENUl1TV9GXXsZN0YoGK2cswBr7NVnS39BEVwDRSEjRGXfI1eR2v+XefcxOCAR5bkycyWfOXMD6GoBHlj2aYHDDKE32rG8JUgsanGQ8hzmFTPeJmRvX7l6xZV5F/fqhfNZrj86xuinwUIeYqwr5ny3kU8Hagh5i11ublKYluPXwyViFXxcNXpR0c5F/HRNw9aVH5SK/8Se5uiD8Pdevs//Anq9pxr71ld/Mz/23fwbA+D450L36rjeQwJB98vyjHxcq0Opyn2EjaQmnsNypOaxuhN32OvUNOWzcdOh2PA1s5uZmeOfv/H9l3nxNbORKFFTQbv7yAiUNeKYmJ/iu7/pmAN7zbumoFmO4Oi+H29PHn2DHLhEVv/3O2zlx/OTXdJ//yyM9WCT/RjhK2Xvj62fIanC2Y0ye2dVGC2VhYWPDXBLgRBGBfkZdg/A4shRcebPvOuxSx9+zIXPajbMbxyypCGXiGL7z6w7TVspa1ne4sioB90QuS14h3cMwEW7tk1HB33Itg1Xl7HbPEOsBMDmPF2OHXdpJZqkZM0wcijGpSL2eGZidnuDykgheZjKWvh4iMFDQw8t73vNOAPbO7eLQzRrE3X8v3/93vg+Ay+d7xFYOrJ2ebJAmW8KkYNKRxGCrM6RUSh5Jh337dut3y/Veml/B1blcXFhMn1scW67My0Unh9vDh3aysCSUiXzOpapCyhsbi6yvjxEmYtLXc1grAafjpqKqNo4wmmx868P7KetBbVYToWdX6sm+wDCI2aGBQ9+GeGqDfbW1fmRpaoI15xoO6WaZcQ1jus6s63PuqgRLvjbduP+mGutK4ShkHZoaqMwUc6kAZKjCnRudOlm1j9pYjuG6zOuGF6fd6koV+a7hIGKHCgovbkbESqXwjGV6UiiPt9x6Tzo9/+QXfhSAp5/6PMe1s+H+/TcR6IHsx35GRH3vOXIL3a4ckh599Az/ZF3m8uGH38Yf/tYfAPCyV32HXHecJ3Y0aDSWI0ofunD2LL7OSavRxCZitmptwbBOvy/3OewOOX1SKI+Hb76dQBsl3Hu3UFHOnDybQu0bm1dIdmSTzWz53BszjDEaEyqdfm6K6n75/tfurRJ15PVYQdZYvd1JA856b8C0+q6WA6FG2m1NXgTWMtBl6AI7NUHeI+aAJqUD12VeO3om1I5XHJ6g3hVf4HuGlXVtcJLzyWhIEWqyfKNZJ6td0KYmy/RWtGNRj7TAgyZpM56hllBzx1wiTQD7jkdVheutVcpzr8HUfgkcL50/mxa3XM+k4quu/js3nqE0o0mIToNnnhSqUW95gJ/RTkgTUnghGuJ68t5Otw26Nw96cUrphs6oC1UimLyVH2QjcGUu3UyRSA8f2CTRFWJj+VmuWKHR1MSaGWL/ig7K121Ymx6EbTzEKcnz+rY37qWo4taTOtcX1zeSxm50g4ApDa5D3yFQ/9lWfzY0llCTMG5s2FdV+4nhzn1im/PtPg21m8TPv+n+3WliOeMZVrWT2HgxR18PcLEeFDdbDYpKCZqbKnFJ7bIzCPH0PZ4mkwoRWM1X1WNLX+O7lZUF5rRhycSU7C9kxnj8WZF2eN8H3s2ePeJDPD+bNvC+Mi/74F1HjvLZxz8BwH33voqrS3I/cb/A2ZPPASlzg4nJKXq9usyJ6+L7skcXipU0AVbf2ORTn5TPK1eSxG6BUGmy2IgRL9PFaAfo2VmRndisN9KkmbUxjna8sjbCUdpldEPyXYakHVdiT65vUh7V6x6aw9M1OaV0s0arSVLbaw1D5tSPDj1DoDFyT/1RPwopq6/O4jKrn7HcHrB3XGlhUcyZK7JPNDSIePCmsdSePJfUNxWyHl7SnU5ter3VJKtxwcxkmf6yrMNextDTh5gcgIuRz1RC1x328LXAG1uHvyrBlYwe63oNLkePSoHnypLQ31eWLuMm8hG9Nj/3S78o998YMDcpdjrUKma/PyCjz/f2o7dw7HlpfhAxJCn6W6I0Lkqb4BhHKYloQ4MRJXBEi02Eu0dxkXEcYhWWxvFuFHGRIAhYWloQ6rf6W+IBYV+e7Zsf3sWYFmTGi7Ju5lfqaXOVZj9gNuEvZdw0oTJICimRpa+2WDBOmnhvDkN2VpN4HDa0SUG9p02QdleJNVniu5a6So1U8hmSs6fR/W4Y9HALsjZ3VSosaDOOteGQIOm2qlNc8g05PeB/6ze/hd9+538HYHZ6hhml+7a1s93pM8eZ2ilFymeeeTylabmOSamLngqIu1FIJkmqRdBuK523P2TY0PjYFb+SyXhY3Wtdx6RNN+rNThoTdnsDjH7ha1/7GgA+87nPMUpSmbSB7zCMWasn54MRUewae0n8hOsQ3QhD0m+0NpZGo0kjBSKcknzhG147g6PrqaKyDb1uh4zaUj+2lDThPXSkUQnApia02oOAaZkqxjKZNDHf6oeM6/l2YOGyntcCzR/cu3+cIEhsybChheBS1k9jiUCfZ7PZIqNNxKbHCwxVXqBnLH1NTvrKyy25MFuSi1jvRGljkoznpLbQU5CD7znkKkkjOcvautAVo+AY9X5d5kTXV8bGNDv6kAYQhhp/DUOM1ddJl2Zj0/NyJlugpEChjXqLlJlowxG9Wu3D86uESfOULZ0xjfEwvnyGUSmLKI4o6Jmh20m67ibjf5yA36Yubo/tsT22x/bYHttje2yP7bE9tsf22B7bY3tsj78V428gossB8sAwFeaLG5bafq3kVR2+9xWCWtozJ9WP8YrDOz4nFLrDu8tsKDWnEI1gb0nGfyafY0xF1a9utsno6y4BRa0E7Bir4OcFAvr8VRFSvmWiwKPanjgu+9ysqd52v09Fq0KBZordrEezIZnMbs8SatWgXMiDVlAyKp4dBQ5BXpAbH//Yr3LoyKsA2L//vv+pWctmlR6xKVXQ937q3XzL674VgKdPfJG7Fbr4hc+9l6yKrgcK7RmGHTwt7ZYrVUpajnVdl/U1Qc0srdTxXPl5tzuiI5ZkmojjmNNnRTz4+PHTvPwVIsZZqUlV/rFHH+WmQ1JJffhN30Go5fNWq0ulIp+7vvQ/dcv/E+PL1DpxGbtJBS0zlh9+8HYADu0SpNonj13iD78kFKmju2t0NCMfx4O0ttfWVPZcPktVn+Vyo4OjFeeGDSnmlU44VmVqRqo2j1+SSt9kO+BLZ+V1L+uwX+e/64BRpENSuXI8w7AnlTCnVk4bB0xVK3RUTDV5fhsMlXoo1XZPq8zD4YBpreQvNuT3m5stDh4QWsXV1ZNpRbpSrLCyIdWAtXVBNjoxfMMBacH+33/rP+LHUv0qZcq88nWvAeD0WRGVP33ydJq9J94CqzcOvmbyx8bnyCgt4eJ5qaY3mr2UjiZvTwSRA4jkPhfn9d8rl8mVBJkxNztFISe2fObkJfoDw2BwI8rcBpwMxIO02gGG6VtU0LLq8Hfvk/k8uEN+9qEnz/Enz0qThpt3lIm0Gpt1XTytprW1mjSXzaX0wHYvIKtQsGYUkVdE1k1TlXR9PvbSOQD2VTM8c06qo/2sw5hCmev9LjX1bw1FBcQGunWla41nUgH6mVqFZl0RhgmVJusRavUzwtDVzyj4kPHk+f/o3/uJdHZ++Wekcvl1zx0lqYLfdfTl7Nkn6ITf+73/AsD+XTfha/V8sjrOg3ccld+/6+Pc/7IH5dr1Wt79rv/C9KQ854nZIwwUBRkNBwzaiRhpSLLVOZ5UhnfunmH+kvjuo3fezdSsoGNzuQLtjqC37rhDqu9jYxU+8qEPyj07XiqqaeMsrlbHbwipw1pBBNo4FaEO67BnTr6tkDN8171iTzfvrgHwsWfO88dPiD0dGM8R6vOLHSdl03aVgjORz1DSqmazPSCjrbQ7QYj2I2D/9Dh+Vtbk5aviv+eKDscuyvrv5VyOZEaipzlFhQ6UahQY6CsdeXyqQE59SK0EHRUhLyjc1C15hIpGXb3SZHxCEcWlCr42C2hpU43du/czN70PgPNnThPpMwkGMYOBilWX1bc5Dt2OVrLxObRTqubPdNqomXHwoDz/Z589ya1Hxd8vXLnEqu5vXtaj3x/ROIzWqm2KgEhEmwEKI7RpGKQC0jZK7DEGFCnWd9ICeBw5YJvXoCqu27AxdtjFyY+PWsm7PnO3Jms54A237APgzn0yP188foU/fUZ874GJAmFWETjGptfc1WpxLe9T1Din3Q/wFHk7cOOU/rWrViFGbGl+Qfa2PeUMX5oXBGpQ8Ll7TGyh0evhKc/CVWRG31oaKuhbyWZTHxEZw0CpfFmVsBi6HlGciLEb1HwoZjxa64JI/4Wf/3UA1juGvWpLf/6RP2VtVWx7x+xOLlwWH1G8WfzGWmOVqQmJWarFCjftEbs59tRjGCepcMt1bWy08dTf5LK5dK+tb65iE+iTccmXhP64vnYmfVajaMSwtR4d6tpdWROUUByOEDzGcVKKl3HctJnJDbCm0aUxojpFYcTULbL3ZHIDfuge8Z+37JK97rPPz/NnT6pvmiwSJSAiE1NSOvxAUQ/jhTwTSoXdaPVGzWRcJxWw3jFWoVSWAPOFc/Kc9pZ9Hp2XuQkKPocULTUYDsirfQ7VHgcGOg2x34lcIRXZtjgMO+Jn8opybFqXSH1IvdXhzd/y7QC85k3/J6B0eKa/6jTlEXRzwDof/+hfyPzotbzu697IBz8oAvV753Zy4bNPyjXWMyxEskbm5gRtura6RrulQt9xnH5GNxymFEODC25CQ9R/bJj6HuNuaZRBjJOKkCdX66TnKmtHSLCt/Zmu+7DCfBAVcBUNj0PGb1MabC7im+6Qs8GROYkJP//SFT78rMST+8YLhIpeCWJLRg1/oIi2iWKOMWU8XK138PWZ4loqek/lbJ5MTtZOU6nreysZjl2S11HR57DOxXA4ks3o6Rkpdg2OUsx2VMqUlF47KOZT1G9O2S+NXoi6Ap565nFOnb8IwK7dBwg3xY5vP3orAJnqdEq7s+g8AeEwZKBOLa/778CYhDyEExtKSqW7uNTESSgdGlPmCkWGKhpvCel2Fdk/aJItiv+PovRx8OnPfkaehTFf1ixlC801GVuaIVTK8rwazWba2GpicpIrV2/YYU4vYcu5IrZUj9TkpTPkx14jZ91dyrB69PhVPviUxMo7q3kCRSl7cUgmQVvqTe0cLzFRkLlcbXfJKANnYCPy6gdnKiUyiuS6qCjRXUWfJxa0GUHO4XYVsQ/DAF8R+EncEpoQozYzOTdNWZkZkS3S15iplNVmJiYkVuRzEFoCPVd5rsseZbSdWmrq31vGs+Kj+vFK+syazSbrq4KSCmtKuS24DDpyPS4OXtL4IvAxrjZE0T0sjlwcnZ9SqUKjKSha10SEKap0ZLuurr84jtPmJdY46f7puFkibRiQNBdzHC+1UUGlpjpDfC2OaRvRtT22x/bYHttje2yP7bE9tsf22B7bY3tsj+2xPf5WjL+BiC60vXoWvIQ/7rB4XjKgd3/TDCeWpCJ3Sitzf/z4mbT60ewH7FLx8DDrpXz1gqKtOkHAqVXJah6YKLFXRQwfX96gpjoBNdfncks+++UHawAEvYidWlXPb3bIaZZ1OQhYVORNRasKu2ZKGBUrXNnsU1WO7WYdQkWsmLzcW7GSwfRFl+tDHzjBgQPCy/+O73k7e3a//GuargZtHn6NiIbfd0AQYQEtfNUD+aVf+Gm6KmbsFzwGm4qUUTGDVmuTyQlpkby5OeTpp+QaauMTjI1JterxRx8hQWnEala+G3PksOg27d6zh898+vMAdNsdfuPXfw2AUJF0Bw/OkVEBh2PPfom5uZ0AzM7upL5Z/Zru839tqAqejVINFdyYzctiD69+8620tRr25BlB7H382AXyWp1p9gMOFiVzHmczaRvzfCTPrxuFnF6T7PSByTI7lcf/xEqdGdUbOTIzzpmO2NN9e6RCOehHlFQz50hg04rn5U6Pul55Rauc48UsvgKUupttjGrpWOJUtG9TK5QRMFuQz8p5ZZaUK96NDRva/vwbXiu28ueff4L1llSYyuU8P/4PfhKAk6dOsrkmSK5veJW895te9z08eeJTAFw6s0KjI/ZULOVZ3xC+epSgsYwZtSE30RZAl8MwUOH/IGR1VdCHxpN5iKNOquhliEdaADYSEUTAuIm4YZyK8cbxIBVAPHDTHF6mhOPcoBy/NWJHycd7DiunpVry2m+5NRXdffSU2MRfvniZjCKkmt2Agyqg33cd8smH6N90o5CByiAcGCtySBtoPL6yyZ2KUvFCy7kFQd7cMqH6gr0gFXQ+MLAMN2VeTrT7TE3JfCUdg/fsqOKr7zp1aolQ0WQzs1V2qDZKV/VLotgyU0j0/Aq0tNFCJ4zYUPHwlUWpSo9Vb+IX3/mvAPju7/wePvpxqWx/8ze+iU996kNyDaHcb87p8OaHpeFFdfJuPv05acDRH4YY1au5fEmEm2d2HGBDdViW1o4xPi4Cm3O7d7O4IFXDYbdJ8kCyWk1aXlpJtRPPnj5NbUxQYUeOHCGjApiPPfoYAO1uBxQFbKNAxH2BjO8TxjLvN2QYB8fPqpC4PKfMnM+VdfFHP3rLLB1FZz5yXOb548cuk9F10R1E7FQR1cj3U/QWQzGiXhRypaHNM8aK7FLf9NRKjzHd66ZzHmfrMo+379SmGv2Q2pjY3u5mL21ZfaU1oKeaZXmtfs+Nl3B1r1ta2sBVbaec6xKp/kUzQQ7biJxWpHdWiySVunq7zZHbXwtAZaYOwGJryJMntMrsQl79ozGGcW2AELTke3vNfoq8Cns1Tp6R6i1+TKlQA2B9RfyvYwxLVwQp4Lku01O7AFhZOY+raNM46I18j6eV8nDAFglZMBPp9aS48USkxYnBkfk1llTQ3nFdbJTBmhsBnTCiKmvDEUrDD1hvqI7fjhm0SJyi9T5/fJGMvrfZG7K3pvpPWR9PdTpC1dxqDAOGUjjm0HiZGRXsPbbWpJSTNbK3XOaJBRVbnhVfEg4jSmqjM9ayoyqvl7pdrmrjkaruJTsny2xsSkX7dGtATqvtjjUkuuuJFmsx6xJrbOfkoKv+vh9FHNgrMcm73/M7AGRrcxw7/QwAE1PjDLWhzPzCBV73ylcD8MUvSuyyvngJX1Gwr33o2/i13/xvAIyP30OUCjrLnO3bv5+LFy4C0O5apqdr+ii8FBFonEKKgHcdmV/HDFOxeWvMSO8Rk6Lx/Iy8dxgNIGmMgEfYE9/v+mUibkTDFR2pvJMFN9FWsWws6l73hkPEatdPnl0E4JHjC+QUeTwMYw5Oyl5nMhkcrea31usAdMOAlY7MwVylwJTO+YtrTWqqIzNVyHJ1Qz77zp0yH+EwZFL1BUubXQqqm3OlG9BDbCfjjDRXPdUw3Vir42qcnnddbXYFTW0aExuYUv/5srseZKwo63vhwpcIjHz33n0jRNdqX3zIVG4/IPFPmSp33yFokj94128BcOn0Mc5eEn9Uyu9kRW3deD1uOfwAACuqRWfjkbjzYDDcogMapFryGPMVvSwSxF3ye5PGPibVoEpQOI6XSf9eUBP6HcbeEKCpjBiryI0UYutHdFV47VUHdqJbMscuC3ruidNLZNxEUzZkWqkjmVwOJZEQdSUu6AQBgwS5Vy4wozbxwloz1aUtex6rDfF7iS3Z0DI1Lq9LjT5o85r1MKKvkxGoZlKlkCPuyFyevbSaNi6bLGUZKhKlq8yPiWqGodr2wYkpcneLTWRzeV66IGeMua587sGjD/Bff+dXdG4gq3pc1pLu8xqO4Joo1Xtrbrq0unINt95xN88+Kme2pEFBs9nE6BkmikIijemMlyNSFI5xHIyeieItNjGyL8s1jQ9SG1RtTc8hUA0mYy2JJGej2boxDVfkm6R5WmxTRJdXy9JXLdPXH9xHVzUzn71QB+DR4wupfl9vEDKtjIhsLk+c6KsN5W86wZBuM0Gd5tihcdJL600mNVcwVciz2JM1f7s2HYhCy4w26CrUezjaoGqtGzJQzG3iAyfKeVxlBK2s1nEVCVV0TarH1lVhdtdzmNGf5SolGuqv2lHEvIrRV4vynCfMBFG2obMEhUQzMltix6zs0a2mnOty2ZiC+tnVKxHrzcQ+IkYCa4rA8gx79+2T+7QOLWURhcGQQkHmpDsIcNxr0002Go5YOcFwpGGKSWOtSO3H2hiTaoJBQdG33V43bZT3142/mYkuE4NjRwvLD3FzKqBaD7m3qnBKhfDefKDG6cuyWcz4Pmt9jYoGhqxCOZPuCcVcJu0q5md81jXouXmizEWlwuQjj1tnxJ2e0U5kV9bqLDXlveUwYkwNdSLv0/MSCKUYdKM9ZFOTCoWcR0vhiO04w6F9qtIaKJTUiemoM50p5zh0UCCtzzz6cc7uqwNwcJ9AxKvVCWoKv906LGBDhQsq8NunzB9/TIQv56an+KP3S6AXdmImJkSkdaD33m716CiMMRwOabZk/ly3ncL8vdwMwUDuI+vrInQzLK9IIPL8C89SLkkg0GwPOH9Bfh7FsjBvPnITsXrT2tg4+/ZJB79nn3ueSiXZum7UsHIIUcfoVB2cvNzvudUeM+ooKnq4O3JgjOPn5b7HHMOaJiIIBigKlfWB2Eo1lyebHDBdlzUVSj1YK3FObWe22OX2WXGCJzbFOc2vNagPEnpLQE27d+SzGdxigvlX6Gl7iKfOJ+qB1cOkWyqmXdlKeshqByF9hTwXjENWk2XVqs/8hpxUXnhREgslJ+byvDjGfYen+O+/LcHZ/r37eO2rHgbgqUe/AMCBm/Zy6YLCf2cqfPQvXgIg68X025+W+RsXZ2qjISNc/ahLKljCoRyEVlay9NpyPbmSzI1xHJxEBNT1iUKla/q5Lc4uCeIGxJpsbLWaaPMUxmpjXDxzhljn9voOK10fXTMSqbZxetA9sRRw/27tQKUiuHcdnuK5C0IrLOZgQ6/LWkukwVRfN7XpTIG8bmqRa9jUyOHmyQoX23Kv+yPD3inxIQv6WZcXW/TVBa3GERX9nwnHo9OWjbyv3fD8bJesXu+wH1LWA+vZhRblovy8pIf7AEtfKWoTOUNbX9eyhgsrYjdNLQgA/PMf/ncAfN9PvoHx/x977x0lSXadd/5eRKR3leWr2vueHotxcANLgJihA0iIoBO1okRKJIVdSVxJlLTLPVxqtTKrlcSlFZcSRYoURU+AAAiPAWYG413P9PS0r+7yPrPSh3v7x70RWUMDQNT07iG33jlA52RlRka8uHHfffd+33e1G9aTT32ZyTHZNBwcH5Hvjx/iySekAccHP3g7v/0bXwTg5JH9PPGEbDgzniS/7737XtZVMP/5Z59JE7Cbwc6uDSCpXnBvoJu/OKJckXMolQrMz0ni7Id++Ac4dUZo4f/3L0ijhd/4lX83hFiTGa47NkNB6VydmyL4bKX7jJvBaqBVO5iThxxYiKCg93hWA/JbD4/yvNJUPdemNlIgxtdEc1dp4TOFEvls0sTAYUfXwJNjVa7rWjddGXBmXObpgorNzm822epodyfXYjUxWrQGo5D9gQZca80+xeSZ7YeYhPZZKaF5TYqafDSxS5x0+XRhXW26OpLnxvJ1AHbWZaOz2e5zx1HpXPbI1qfTjlaea/DVDl0/ob7ZVMw+cGLW5tQu/Bpjh47Ib9SFjvaeM2e4cV3WplcvXMRRGo8xuzaAbm7Y0SmhYLNblDqf0g+NW8SmWZiEal7AKv3cOFliTWoYx8PxikTJxLyuQ3yTNR5W19zMVIUokPVmsWOZ0nt2dGoEgJOHarx4Rea74rlp12iigFiTAkHSdSqXw0s6gDom7aR5tF7mnNIiqm6WMxPy3F7UdW6t1WWgN2+jF+BfUkcdxYxpLNNVOvJqo0c+oQ9FAZ1A17xcnjifbPo09osMWU041fMuoUpCjNdrRGqPZ265E4CF5XX621oQamyT12RCxnO5fEU6dE6PyZy4OXjjfW8FoLF5nfmLDQBuhE/iakIhjOXfbs/nzrvfBsDlC6+wuiybWMc1FCtSOOy0msSB0tHUsUThIM2jTkydYGNVktg2HqSbSCchJNpwaIM2xMsKDdImxbubOKQjZDRMvs3m8TQ2WegbatrF9fisrPsnDu1wTuOmWt6hp41jOp0dbKJarD5qpFwgo8kC47mpzzpSL3G5Jb6nns9z54wc+1JDbGy10U1jeSfj4Hfldc6QduRpq2zBemtASW0kF8SpeLutlgk0Zs8myvXGIdB44/rFs9SnpRB7+NgJXl4Wf3vo8HBuJMEFK/0FGk35+8KNK/zu7/5nAPra8MTWSjz4boml7rz9rXzoO6WDo2MrNLakwFCpyvq4tbWexsjNxsqwu90uUXn5b/k37UxmYRhvRbtoP84wCZZ+1jL0Y450agVJRKXZtNd5GBcnVwMTY5TS7U7GkBH7XWoPGNP90qkDUsg6vNrg0pzs6UqeQ0/Xja2gQVZ9gFU7yGU9tI5PNuvSVRs7Plbhmi7c9+TynNBmU0lc3trpEei8DDKGXkd8iOM6DPQ+9BJgQt/Hqj3nwphekCR7PEKlXnsaozqeRz4rn71x8UW2Azm5icl93HWvrGmhdty+fv7FNElHYRh6eK6T3o66Nrhq++2k6TjjVY8rF2T+dlYvpF1C0yZneKkvqdXrlEuyx1pbW0r9o40trhajrMbSVjsaykWLjwSEopYanjbJGgQEugbXRkbod+Ue9vsBXiZpaMTrP5wk6aZrdDYkaMn1X9ruU9H9/anDYksXlrfpqS2VPSf1NTtRiKcuNNI4q5jPpF2tC7kMXRWKPzFW4UZXPjOWC1JbSjqjN5tduonUjBvT1s6fGEOsIWlbJ8O2SfMSmV6oHFLIj1XwlTLrpZ14DQMnaUiUoa17v/G8x2VtmFcsiN+rmD7GkT14k2Wy6g8jumlTspmKJObacZt+Q9f2osvZV5K1v0KSNrIJDTaTYWu7AcBgENDXhLHJFdK9piEe+hK1jzgOMUki1MtJERmhWA5dVOrMho0N4piOxp+StP/q8dIedXFv7I29sTf2xt7YG3tjb+yNvbE39sbe2Bt7Y2/8hRh/PhFd1gECUdMGiC3VWclOnpoZ4cJaA4DDE5KlznlemhmMjcu6VghzMRxVCNyOZryb3cEQ/tn3uaqVx/3jFa5vStXoWrTDG7Xo8dgVqf4Owoipkhyr0fPxNbN6MOuhSW8GWnWJsBQV5WPDiBmFWp9fbZH3pHfphoquLjS7qdBuMVvkpRceBeCv/8i/5MnHhbqxXpIq6aGpA3/idI1QZmxKKl8+UinIM8KHHvwfAfjyo2e5/S4R4H32C1do+TJ/Rs+3XK7TUuFCx3WTBDPLqyvk8wr3zmcIFXXgK4qgWMrRV1TY/fe/levX5wAYHS0xPy/VzQRKOzMzyQvPC4ojimJefknQQdYUiXtn/8Tret2GiV7TBzfe8akrwuqWfXUuKDrlZDapwpvUnkLr0FBqjmcDppTHE+t1NXsDRlUos9Uf8Kqi96bqRTY1q99sL3C/J4LcDys9cqfnc1ghtM24T1arQZO5DD1Vik4E74uVYcvovOOQcIl2fJ+cVqcbeh96fpjSRT3XRYtNFKf3cbSTCBnKe3e/6Z2cfoNSo579DAf3yTneded9nD4lyMLmupzvZz71MXpa0Xjh7A0yOlexb9J+662dP9oWFhF2dhMEZZaMI/PT6Q7Ia1OECUX6LC43iRWNIFyVBGLhkVPeTUJVqNUmWV2VKs32xjqgqLu4Q6WSpR3eBHqQ8XByo8SD9SE0O4iZ2CcV2Vv3l7mmNM4jOaXS5VzySqvOmBw7iWpyGDCu158Uu7e6A2a8BNEQ83xL5vPgeJXrm/J8XgkspxS9cE6rLFubPca1qtOK45QiWPHcFP0S6Xx0w5C+IiVMbBkkdF5C8hnxp4EKIm8PfCL9rOt45DLy2fmdDuNKu/3t3/xlAO6779vTadpobDMzIc/X4toCb1f6ayK632tv8U//Z6EE/Z+/9GssLgqqYmftGgcPiZ/aXJdqd31klJlpmd+7vv/7ePH5ZwB48dlH6eyIPR49dYK5q9d0vvU3OtDWam7fjwlXBEn4g3/9r/E9f/WHAfiVXxLx/H53hyEtbQiJr9VLtDs3oySpwxihF1iL1d/fPLvFrW+XuTtSznNteVOvy0v/zevz77qZ1Ee0+l3G8lrNVdvc6vZTungviJhX6ulsvczCljyHW22fu1Rq/0tXhELf74fUdf3aCMK0xXo156XIwMgmAuIhST2taB0c9Qs7nVYqSppUxXcGQYpYKBfzjKkobCc7QYJTnp4WH3T+mZdY3JKGIOVKmUBpY4Ef46s/nhyVb21v+2wsyzpeKGWIEwZhBJFWETfXBTE2P/cqm1taLSRkkMLlzS70VpRWH1PkJh6YBB0RpvD+qN+EBP2VCEa7ZljVDFopWjCXL5DLZmgFN6H+aFxMtooNehilLNhuzPQBiT3OzNS4si62VFbKgnXA6gKRyebo6zV12z1mVYahpT64PwgpKgqm1fe5tiW2dHi8yg1FAq5v9jhxSOKQZ+cFKRb6EWWt9G4GAZEvc1HNeQx6Wg1WVE1AvBtrAvp7naCXNlsJFB3WjwKy6rsiDBldg3OjkwRdqXT/3u/9GgDveN9fZnxCKt3v/bpv4ON/+LvyvQCMlTmp5SW2CwYDrl4Vf3Tvm49SnlRk/zNrqe0mjVG2ttb4+ge/EYADBw/whc/8IQCxDfHV1xkTp0gZR/1KFHkka9vm2rVdVLIwtZv+QG3JiVOEnnFGsIpijeMuNoF33KRhrRFXqOcdrAXMvkV804nRInOrMs9llebIFV28ovqCYomeSixsd/pMewnkRqksoaWvcUPXcZjTJhRHxqssKHprY6vHfepPnppTmrofM6VIhYYfUtTnt5x1CNQ3OYqm7MchjkLwM8Ylo/6x0W6lTYN6Gse3/YHYHOA58NJzTwLwdR/8+7x1n3yv05W9QKk4k87Rpz/1m+z0E3HmIm9781vk/U9+AoAPffC7eeTRTwNwbm4DNye/F3Udmkr/r2lMBEO/gc1gtAGGJR6i4s3QdySxddr4R84Cq/R/6SWg/k2RkjYOUvFzoUHqdx0P18neHLSpARxDHPTBqsTGOkydln3NiYkal1clvilVkqYEloGiqb1Cgb6uN5udHieL4tMSIFTox6lURaPvs66Nm06MjrDVk7l9+MY6Z7RpwIuLEgtEoWVS0evb/TClCBYc0NtEoIuJb+M0Bh/Nuam/2el0KSm9LRHm7oc+1YK812w1CDyRTThz35sozgv1eFUlH+LSJM3W7wFQzXtkNMbyBxFO0mghXYMMRp3FZt9JgXk7zUEqUm8Syokz9DE7O21CRRMNBoNEBQScIRJ2SDXcLTofM+i29bgexs2l5wFgXDdtfJDPZSmXtKHH+gb9/s2Kmyw2CrBRkFIz447HyJi8Pjk+wiWNmQoVuVAnA76nFMWCm9pSY6fDYaXe7ej19/oRuULCAvO5rDHkZL7AsqK+ms0Bd2cEIf7svKCbwjBmWhuT7PghRm2hlMngKCLeqC0NMnFKFc04hlw+kRDqkdE4r68xU8cPcRMKq2soqN1d3GowpagydWUsN7tMyuWwb/oQLWXPdNp9XL1nfb2Fg76loP5woQEmk6CG3dTHpHvOUoVqVZ65xYV5nLz8iI0GGKV1C0068UOKnI2iYWOM3g5OvqS/EaVNE4gTH8awARBWpGsQ6j/2q69zfz4TXSJsgdEgPTfmMZ1QCRe3+Pa3Ce3t049LQDI5WmSf0nkazX4Kc50sFemoNteC8qvzOYdYA36bzTBSke8VsgXGSjLRtx6a4qnLEvSP6aJaKjuc0U5qz11apaob7la7j6Ob07ZuEHOuoVDSTUfBpaEbsjffuo+SOoPnr0qQcHysTkH1Cfwgz7Yr0PSp+kG+5Rt+8GuesqO1EwDsKOT9n//rH+Ti+WcByOSrTORlzqanIuavXwCgVpWFZmpqkqZ213OzHnHCywa6CucdG+sTR9qpRp14fbSGMfLe8tIc01Py8GczeaZnxJBzOn+XL11nRPW+NtY3OH78EABBZJi/rl0Cuwtf8/V+zcNagcvbmKQ/kTvmUq/Jw3p1YYvvepd0vfncl6Vj0Ox4mcakbIa2G70UCj1byNFRvZnVnthKLueAdvkpWIdqVWykWipTLMnv3XJoMtX/msmLvR2rGk6My4P/9Kt9RnVz0ukOsApf7etGIJ/N0Us6LGUMBXUOs6NF/FDs7PJKA4C6lyHWBTLjGtbdgh43oqGB4B233wXAP/zRf8qbHzqpn83Q02fl0uXLLFyXjeHcVUlI3nffW7h6QzaexZEafj+hB3VJBRaS3nS71kpj3PRtzxkQBrJw2igmU5K56LRVmMpa3CQgs2GacDXE+CpeFQRKT2h38JWKUygUyObEP7RaXRwnQxTvOonXbUTEURscN4UbZ8YK1Edlji8vbvOtbxVKwyNPSTezyfEih9VvrG106eg57yvmGKgfavUT2qqho8l9O4jS7kGOm5FkPnDniWmevyq+KQnGbqlXuH1mBIDHXl2ikHQl6vvEGvg4CqvubYcUy6pbUc9BXw5y6uAYvm7Az29JoDDmZYgSqaLYJW/kPntewF33CAT/yadF58oC971fEvFvuO1+Pvgt0rXqrW/8RuZXZC7e8Ob3A/Cd3/s3eOJl6ZLb3Mlw7KB0Fgx7Ta5eks5kNaU+rq6tMTujwabf5eKrLwDQ2WlTH5MA0sZZHJvAppOtsgWjnV38bhrwt3c2+KVfFE2MYeCWHS68Jk61BNbXtyiWZrlpw+76nz4jlUM5XCv2dPH6Bt/xDvHrn39M1rqZ8RKNafHba5udNAgez2dSak53oFpoOYeBXlcXQ0np/6V8gRFNapw5PJnqoozpZrQ6XuBepSN98ZUFKklXYd8n1hMNNNmUc3MM9L04IxQhgPHRSkrfO7spAVfd84j0PmT6ol8BMNe9wvUlSVonVIl9B07xyoIUQBwDGT0HE4f4+rwsr6omT8GSUwru2k4f2x+RyTQRCwtCsd63TxL3m40dQk361utlGg05hrWkNmKjeFfyKqGRd8BoOs62hjfMGQPVGEwS/nEYYtyEEtJPNbn63S5hmNkVEL6Ow8bYcABxhNXNS2ksx+SUPEeXlrf4nreLr//Ul2X9nxwrckDjpuaOn3b5reWy9JTGuNHTgD1vcdWWfC9DbUS7a45WyWtB5/iRMc4vSOA/qc9WdczjzukRAH7vySuUNCkSDkIGuiHvaVKoSBZfaR7GgbzO22i1kEwtK0qFKBk3peLWTJZ1lVug0eX2e4RO+Pu/LzQyr/JlPvLwrwDgGpdQk8MZ16FYlHt69ITYx8bWPNPTotv2+ce+zKUXxHdZm0vXpgNH7wJgYmIC1CeeffFLnLlD3n/qyw8zOinJkNZOjyhMEhnDbnhuVmKlyB9Q0s6C/d4anj6Dg54WjWxWN61g4x1iTew4jodNFsibMgwGoY0knftKs1nyNlnrdvi+94rf/sMvvgpAvpJlVovPy5ttQpNoz3jE6pZXVa+s4MWppmDR8xgZFZ+WqRSpaKx+16lpXtGN5JRuassll/v3Sxz56LmlNPka+AGxZioCpSa5gywD5SZtu5aiztfoWBWrPuD6pvidmuukmm/FyHDpiiQk/uD3/y+++QOiXbo7wfXX/tG3AvAf/tlvsdCRIsv+0gm++JIUp3FlbfLKM/zIP/ppAF65vIQb/yoA0zNT3H6HUOi3t8Q/Li8vpYlMs+v/sQx1t4wriXZgtz2RdIHelZjEmF2UxeSzzrArq5PFpP4tlrj/prAXhXppjEu5JutpkNmiosnly0ttPvhW2Z88/LTEm7OTFbaUFrbVHtDRZ300m6GpRY8l7QhbznmM6HVkCnn2Kz0rXypQU990eP8ol5ZlnqdUH6hSdrhD46YvvriAm3SFiyJcjZsS/aRM7BKpVt2m71PQuHt2skayzV4J5Dkf9XJEuoeqmBzr67Kv+cmf+mkeeLdokz70/u8G4EPf+13UZ1V2JozpdeX+e45DqP64nXRkDgNyWkyZnD3MuSclJrDxLopqSnEddku1cZju2fqDAbmC+ptBTyjQkCYkpCitFLw4IlbtUONmUm3CdJ2Mw/T3VpZXU33deq1Kf7C7S/HrOYzYrOeAFgCyIx6Vglzr3HKT73znKQA+9Zisc/smq6wpsKTR8umpXtx4NkNbbWldwQWlnKGmdpAvlThak/VztFKAJSliz05UeXVZ9iOTnthapeRw56z4sCfOLZJJtNaCEN2O4Wh85oVu6htbREQqYzQ5Wkr1r+c2hA49lsunkllFHJZ0T+g6WRZV7zDQ40a+pRnJPjPYLFLQPVEu02eg8ihbGnpsr3bJ6r1rtmKiZrLwxsMu0ppJ7fZ6qS2VSxU62p2WTDbtRm4cF8LkvzT3kXGJk3XMK4hOF+Bks7vosVp0t9EwKW9J/x4HPZw0M/unjz3q4t7YG3tjb+yNvbE39sbe2Bt7Y2/sjb2xN/bG3vgLMf78IbqMwC+t72OV2lCr5fjRtwlS4q/81fdx9rJUoD9zQ5AN3Vd83nObIIQuL+zw0J3y2cHA5+X5DT2uHiufTwseZddQ0EpxPwjpa2b0c2evUVfE1jGFNlbH8jyzJEgHp+jia6WgXsviKgJgQpEtG/2AVaWwTZZzlLVK11ztsf9WybLeeUwq5hfntpkeFTrj9FQJfyFBNRX+q6bt089/EoCvf8ODAPz4j/w8f+XDAqN+9sIOpw9IZrqxtSbwRMDTbPTGeoPqqFTJwsCn20vgqgGHDkt1s9+P8bSyd9fdUol6/vlH2b9PUByLi2v0ukMY9LJCc1P2meMxMSlVzF63x8SEINcazR2cpFJwU4aKK9oQFBZcGi/yD94klaUf+AffzdoNsZFP/erDcn4vBzx4t9jQpYUdHnrDUUAq9S9c1+5d2qFltFRIqzcEIZ52BWz3+imN5/Nnr1DTisMxpb/W63k+f0nsN4ggr2KQtZyXoogntUtaexDRtcOKVkGh0lEvol6X14e1q8by6k5ymTiO4YiKYj585QIf+OBfAeCN9wvd4rc/9p+xWgmcnt6Xdi69fv1CSic5sl+u/daTp3nkS58F4IkvLe6CzRvQrpUmU3rNtMswKdredT3CSAQiS9UMp06Jbd3Q53i0XmBb6Xijo2P4vthhc3ONQlVsx08EimNSStBg0KWvIuTG8bDGZbd46+s2kkpD5Kew8ZHRDD/2joMA/OUffD9Xr4l9PHz9MUB80ztvlb9f7LZ41xl5HQx8np1Teo+iz+r5fIr+yBlwcgnFepDSZr5w7jpqFhxTJOjh6RGenhffFGFoK8S6nPUoJ35PjaJn4xS5EfUCymqv+QjGtCNaiPijpeUWRUWSZQsep7R+c/DWt/IDH/7fAfjRn5BOi7/xqV/Gqh/88N/4h1gj9vp7H/0ZPv4poSzPX5PK//6pKgdP3gPAo48+zHd+57cB8H//3C+nDTIyRs7BdQxLC4IufOapJzl0WKp1UQhxkIhxerxTuzg+//TTAPT72ykyS+E6ehNdfG1WknSqlL8navMOOEl1y+I4DW7esMRRgJPJkvAmMpmY//G0IAe+++98iPayVBF//NeE0t5+ZcBDbzgMiG/6RvVTg77PC2oDrlbsJ8v5VMQ9HAQpbWit1U2FjJ+6tExOYeszCps/MFHmS2qbAdBSeyplXGqKLCgqyqQTWrqKKqvhUS6KDXl+TE47dh4YE9TQykaHkqIUvYLLSe0at9zpUlSkc1u7ks1vrJJVEd7uTge/n8wPqUizq9VA60NP79mFyw2Ml1QG88SRHOPGnCBzXK+GqyiPZqtLiorYhWaQBh+JSHPSdMIdorwoYTJJ566eOCNIIf827KcNKozjpr7SOIYojG5OQypjwMuAyWE8rU5nIv7OLYIs+d6/851sLzcAePQ3peFD73LAQ7eL/XxxbYn33H4YgDgIeEmRNFlFcU2US2ln20FvQKYk92lxs0le44LnrqyiLokRrWgfHi/xjCIpRmoFWr2hbxpX35P4GN9CUwXBy46bohCcyCGnv5cgAufXdigryqdYynFG/fECEe22XOdtdwpluht1UnTsoBekDRMyOYdSUfxMuynP2cbyGst1WaMunm+mlK8oGiLd564ISrBUup+nnpBGLK3WNqurUoU3To6mSkFgIhLfE0eJHZSIw0SkN09P4y0bhgwUbWBcpYTYaLi+5iawviCQYqtNUWAI7HldRwIzjYeMXmL+4d2yDv/VH/l2mko3e/Q/SjOR3sDnG98o8cKNtS7vukNici8KeXVFPptR6tpoLkcYJDTzQeqbNrZj8orqPDu3kXYvG1V7OjhR5hHtGho50FOUQNZzqCiqJ2lS0IstLUXIjOWz1DRucv2IkjavOKiyIitbnbRjpClkuEPfv/TKy7x8Sq7vtlveAcBnnvkM5fIIAC12uHJRfMtja59loMiQnMaHM2OVVArgX/3LXwBHzmen1WJqUhAgid1YG+6KWnbBfA3YxJHbXZTFlM7oppAGg90V+thd9NYE5eWkiA3jGOIEFZiKe7/+zimfz3P09GnOnz9HW2me9XqWf/Q2YVL8tQ//JeYXZC1/6veEMtq5vMjXv0F801Obq7zjVrElgohzCfo3WecqRRydi0HHxyq9K+7HqS08f2WZstJqR3QqDo1XefqGrJmx6+CqPbqeQ1VhOFlFcfUiS1fR75WMm7Cq6bUHzE6KLfVa8u9aq0s2CRBLPlP62TUn5BOflm7U//pnfh6AdrSTin6HgR32A3BigkjRz+pfC16WUP1Cu52nWJff62zG7DIA+ccYUsdgYJA0gSlXeejB9wEwd2OJzQ1Z56/NCSox8oM0tg2jISU0jsMU/ZWIjoOTitgbN5PSKrc2N3C8m9UR1go60UbgJWhjh3/0gOxD/+aH/xLr2mn+mV+TGLxzfpGvu/swAF/eWua9d4mPIgh5dakBQN6Ij50ql9KGY732AEfjZuvHaTfXG5tNkv5jNUU6HagXeFJjpp5xMIpAzLqGUmJLGs93Q0tP44pCLktRm0DZMGa0qvuuCe36ur1DSbmJmVKOu3T9214Z4GvcsbQma8bx247SDeTZ8Ps+hbzShKMopdIn3Qz3z4yy1VRk5PmdYSwce6S2pPfz2LGjHD4kzTke+/KTacdaay1O2uwiTrtKRtr128lkcYvi44yBSJHmjuMRp3TcdLOaIk1tFKRyN4aYOPrqNNg9RNfe2Bt7Y2/sjb2xN/bG3tgbe2Nv7I29sTf2xt74CzH+/CG6rFWtEYOnYmn33zHJtopGNrrwkUdfBuCB44IIOXt1nZUtqRT8lbec5gkVkO8MehitprRUf2i2Ukxbo4/nK2yo8GWmUmC2rNztTI5Aq5ddzTJuLO3gqEid6cb0NduZY9i23SRimFmXulYrm92QQlm50u0+y6rNtaF87orn4mp1zwaGvqItfv0//AO+66/9y6992v6I+PanvvxLRB35jemRO1hSpFgQd9Is7EC1pTzXI9TKjus5eJqND8OYFc14Hzm6n+a2VOUuXTgv3/cd1laFE1wqTTCpQsJXr1ymr8LlqfQNPlcuK6fcGh5//AlA9MHuvf8OAB77wotf8/V+7cPISRgHryKottuPVVgeJMqTo/zWZz8DwEN3i07Ak2cXWVsTe/pr776dxy+IXkO3O8CodslOL7GhHF1f0VgTZRrbykmuFjkxLiireqFIR1vMt5QTvrHcT6svpYxDSwX+6UJXqy+jWjaIXJeCVnU2B0GaOa85EbGKCa+qoL6JY7ZU2LVWyqY6UEdHSzQ3peLwK/9Jqklve8eD7JsRZF0URxw/ehsAN+avceYWEQV/y70PAHBwpsqoPh9BP8bVykIYG/54W+o45XdjLUaRNXE4oJiT9/OlMpmsVBeMon82NxtUqmV9vc2YIkG8Qj3V3Uh0iIybxbiR/kR2iLxwPWmycFNgE1aEEY2Lo4jPMydqrKrgO3Gezz0t1d23nJYK5KuXV9nZlufw2+4+xJMqqmuDiKyWyrdVA87GNhXxnJ0cZUm/1ytZ6opo8Fw3RRD66qOuruykQqg5xxArEtZ1TdqKvaDGZh2HkpM0M4jIKJon0w2ItEy5vq7iuli66is9oKN2vn3leT72KdG/WVuR5//SKyPMTgkS6ad+/l/y8//sPwJw7OAJTpwQPa/Febn2b/76t+PHguD5wf/uh8l6UvWpjlS5ekF8RGNdbLVYqVAZFYTFzvYGI4p+dTM5vIxUvd78wLs497KsCeMTI4Cg/BLtRGsdWo11vYdhqmeSoOdwspTK4rs6O5tpIbRYGeXIkdMAvLR1gZsxDBYbWzJjci4nJ0e4pr6TfJ1f++TnAHj7nYcBOPvKEisr8qx/6M1HeU4RhM1Wlx1t772tItBVz031oA7XaqxqW/Vu2XJQmwX0QghUv8VFnqGV9S49rbjlXUOkJU7jDHUovWjY8KKkYca2H1DW6qMTDlJEa1Jh9Qz4auvZviFS2zw9XmFRdSx39D5FjSzFiaSRgsV1Ey0eSJAORt/L58Brq4j3dgiRVpOdCKycT0ERtYW8S6OVVC+HuhDgpDo4NgpTdCKJNg65oRC0jbBBQ9+3Q+2upKhuMin6y8YRNin/xzGOuckhmY1xtUJ824EC6zrHjEzy6/9JELlvvUV809nLSyysii19zwOneFx1Sds7PRra3rupelaVTIZI16X9tQobqm3mjpcoKtpmv1PCd1SnVP1Ku+fTVj23qbE8geoAhu2Qnjbm8BSN0TUxtaLcp9CL0nWwOIjJqF7ryoasry4mRfNkug6xxl7ZuMHTTz8FwNveLsjlq9dXiG0ifE+qOVXI5hkoarjRlOsNBh02r4sPv/5qkzhKAhgfYxIRb/n+yy88jXGHSGLjynoWR21srFXtbC2tXhujKH0zROvvRl6UazV6qsES6HkZSDW64mB7twQP2JtoS1Y1eKzFVZTm7SdGud5S31Se5N/+m48C8HX3i47g8+dusL4s5/1dbzvBExfFnsJBwJYyHNY6cn3ZsiXW+ztWKbKhjWxsqch0WdBU5Xyetj5HniJHlje6+Ppe3iHtrOMYaCeInASkZLR5D7AxGKS+qRT5qf7vpq6xGccQqG+q1cc4c5/oj72ysMTGxtZrpua9976Xza05AB5+5POsKHuhPjICiow4eETWLBvD048+DEBvOyCvqPeTx0/x4llZsy5cEKSzSGr9CaLgOAyhOnYY2iSuaVesY22cNpmCeKjBlegq7cKMxZH/2u+GwU2Jm/r9PhcvXgIb46mW4l0nsyyrBhdemd/+rKxzbzwtiPdnLy6wqOvcd7ztJI+f10Yp7R593cttqV+pZhys7g9PVsus7cizZ4olxpRBUcqOpGjRnDYmm1vZSRsiZBxSxofrOmnjnEQdKIzjdLq7NsZV/clMFIHG7lvalANjGWhs5hqLTfaFLLGwrpqQqvG1sdRg7KC8Dgak9y7REQTwdc0tOBbtX8STT77EYCfxK3nSNVHvt8UOJXNtRF1jqDtuv5P77n4DAL/zO7+d+q8oTB6aQCgm6LYpEQi3JkW3Jv8CGNQnOibV+XKzpV2Indd7GLVlF68sc3Vkv8dcS3UQy+P8518TBOa77xPk1qPPXmdxWfau3/W2UzxzSfID/daAju6PtnQtKmc8YvUDx8pltltqSyUYVTRUBY9YQ4ysakbOb7TwdR3LOJbYS9B4Dl2dW0djJmsMWZ3DnTCkFGps0vPTfUVD8xJ5ByLd+wR9CNQuz0yNcFmb51UKcvzV+Q1Kk3LT87kSra7E8bGN0tglaSTnxjbVhY663jDeIRgyIdTir8/NsbwkcX57p5nGRI7rpYjRqN/aFU8PtdwSfS0bhrjKeDOOg5vYnaK/RAMuQQ/Gr9lS2hRJ/6cPY2/Khu/mDWNci1uCyOLkZOJ+7ifey9ayBMCV6RkWdRNUqcok7hvJ8txZuRHX2gPyGhi0+z1O6KJZryrME8uhqgQaeSdmTjswnT48SVeDoYdfXeaMdjRI7nk+6+JpYD1Sd2nfEAPfCQeMKF5/R2H59VqJHYVM9/sxGb1P01MVSupM11Xkfb3j45RU2N4W+ZEfl25k1Xydojf2Fedq3b8BwKuXr/C2M+8C4DPPCTT2Z3/xXzE68WYAVi6v8KmPSheYKHBwEIMrFiQRU63XsbGc+8ryyq4GHJa77pYFv1CopbSyuWtCJaqN1LGxPEzr620+9CGhID366GNMTgll4uyLspjH8XANdRyHrHYLrI/WidUBrC48+qy19t6veNH/lcMY10IZCHG0W8v/8j/ch7cji+jogX0sr4ptzRyQ+R53I554bg6A+U6Q0n+6/S6HlWIzssueZrRTTN6xLG2LXdx9yz5cTdQ+fHGFe8ZkMx8novI2Srtt1ssu2ypu2An8lAqbOGE3m6GQ105CfYuni2CpWqCqAVtX3+vFMWsajC71QgZqm93tLSYmBd670ZfvbPur6SblW7/pO5iakHv22BOPMT0hSYtySTbEv/eHn+Phh4UW5vZc4s6IHDfwhh19BjKnZCs4qdA31EflGDNTVS6pKL/vB4yPS9LChnLtG+vNIR3DDBd91/PSjGlB57/Tag9FeneJ8hpHqJJR/wo26r2u/EVjMhZPnhlPYcg//WNvpbeugrb7ZllZFZpOqSrP2Jl6ni89J7DwhUGYJpS7vUHa8WVMP9t3YUY7ouVNzHVNEBw/MEEi7fmFK8vcoclAV6mm2Qxp4jHjWhoaTPXCIKUFdXWBGx8vpaK73X6Eq76pNlJIg7okmRFi2GzLLy91I+qHDwNw4ewLFApizy8q7detBuQVov3wR1+gpB2OvvTCR7l+Q5JEswdF8PnK9Q32TUsC9cj0fm49Ku9L66BEBFxpsJlM2mWwUimT8TQJPDFLRTfFBw/fwif+4DfknJXaOj09w8HkfM+fY2Xxil6dQ7qJSJIYbgGSGY7DXZtJh2xG7offnX/9fZOTtSYzhclmccryzP7U330TfRUZHZmdZUFpvbVRuefHSxk+/6Q0zZj3w5RWFAUBM7lEsFnvZMZjRik6JYb2dHD/GNURsb3PX1nh3rERABx99hzXpkG940TsbIpP64Y+RQ1cEgparpBlYJOkRojmOahW8mQTEXYt3nStZbMt31vrRcxtyXNTyXkU80LpD/NCjbq+diHtfBgHEQXtuuqHYUohy2rCYuAYrl5RmP6OC0ES7Ltp4B8HCdU6g+MmtAo7FHmWO6Jz6UOY0LHld41x0+53u23Ihj7Eu2ivgMkURRgeJMB0E8paTqge4QLWDl5f3+RkrclNYq3F1YDjp//RW+muSWGtvn8fN1aEIpXVpN/xUoanXpVN+vIgSjfZ/mDAjNJGy/rZwDVMltS+rGW9I/fmwIHRdB378vV1Tmu8VShoI6GsQxwmSVHLtWU5n1tPV+lrwvHyvKwbWS/Lhs5bqx+g+1FGywVySRdkta+BY9nUhiiNrqWplOd9k3VKBdnUvXRV4sSo0MHXjtEmsMR6EC+bSRMAdW0ik6tVefQZeb78ZQjbcj02NqmtJImyfKGYxi7ZXIaZfVIou3zxErEmoRw3j7VJkaaXHmsoGJ4R7i3gZWKiKBGQ1s1m2BgmP14Tyg+7YxFcuSm+ycmNY22Mq4vEv/h7byfSpM/Yof3MLUnhIklon6zkeeGC+KvVIEo36O12j32acBhVfxS5DiO6a/eiiGZXPntgpp52RX9lo8WZmsy/qwW9XNak3RGzrmVjVZvURFG6Bia+KVPI0tfgrT0I0Hoa4yNFckknyaTTqIEN7bC7MYC/8SP/GIDm5hYnj8v6VN0ntPmf/ZX/k0FP5uHAvpOsLMk1V8pFtrbEvvcfkM+u91r85L+XRgitix1OHxI5kSDwCZTKM6e0ahvHuzpwDqmL1u6iKeIOc/NJ8SqlHSLf0YPI51Iu267v7HY9u19brD+Pjfuvq29yvbzN1w7Q77bwlB7/T/+Hu/F1rmozsyytiW/KaVL1RCnL0+ckVuw4Tiq43e10mdCYtq6JB98YKhofO3GI1pQZH6umGv0vrTQ4pp2pHaXJuh5k9BnKOpYNjZuIo7T5T7Kn811DW2OoCNJW2fvGKhS9XTIeQIeYliZOtiKYb8l1HhgbT2URPvmk0J+rMzkKej5hP0ppc9aQ7juS/UC2PM6F85LciDsR7a2k4JMjXXvSpgXDNcoYS0Fjg/4gYkabhi0sL6dNChKKoo0jYi0aO3ZAnNDyHQ8nu0uahCRJnyTC7FCsHpv6rLh38XX1TcbJWZOZBhvh5uQ8/8WPvIWdRfH1E4f2s7Air8cn5XyPFjN86SnZs7aMwVf/3+/1mVRbqqktRY6hmOTu4oigL/MyPVklqXlcbXQ4qQ0PrC5SuawZ2pKxKVAiCiIKmmBvqy3ZvJcmWIPQYrWBz/RYBU/nM046xzqWLc0VzHd9rjfE7xyarNBoyfU/N6edg2cKZDW/cPLILZw6Kj7oS898gp4WqeOBAn/aDlfnJW6J+w7RdtL3OpuuM9NTQldcXlnHVTkEi5MaplAX0fON06KqcROQQ4ynjR+CXjP1Qa5XGDZK0LUxfk1jlXjYHME4qYv6Sra0R13cG3tjb+yNvbE39sbe2Bt7Y2/sjb2xN/bG3tgbfyHGnz/qoqjRQ9bnlnsl8+wayJQkg7q52eTBNwrF6uc++zAAqzcyHKxJ5vB6z8fTtHiMQ10RK3MKjR6tFWlqJbAZR8woVLAfhvQ0c/rg0Wk2fcm+HlIkzo3NBlmtGgz6IaFmOHPGZaAQ2jipsACZgkIFc4Akd2mEEW3Nll9dl/Mp5HNcviKwyijT4fOf/QIA3/2BH/iqM/XCKwJ5vn7jMp5Wni++KsiFd775PXSsVMk/+su/z4MPfQCAP/zYH1AqJCKu8u/25golzVAbE1Orjcj5RCGvvCIt3sfHZkiSrqNjctwg6NFT1FGtXuPxJx4HoNNtsyLoUN79bhGEfeKJp2i1pfpmrbTKBahUivR7N6sVbTJCyGYYOyxZ5NGcR0/RXasr23zD2+8G4Kf/QCiMU5HDAUXZXO8EqT0Z103taV4hrRMj5ZTGuBNHjGrFyvEMgVYpv/nEAba0Jeu0ViivbTbSaokfBJQVnbi1MsBJoPlaCSiX8ymGOrABuQSun/NYV5rTjtLnHNdjWdGEvuNRLgs18dr1VR76tg8A8KUnRUB36cYOvZZc2+LCVT7zuU8BcP99b+bwQRECffwJEXScqGapVUcA2G52cB1FPJgsQ9FLsXkvW0wrOrmMw8ljQpW5dvU6rpYAMtlsWv2MlaaB64jQO+BkCyI4CcRRmFY0ez2tmuQ9fF+rDFFAWt0kK6CwmyX47Hi4nuXUnUqhC3o4eamGLC9v8u43SvX35/9Q5vh67DCtz1nUi7VSC7ExTOlzeEMpxiOVPG2lxrZtxKQiluIoJlKa8YOHJuloVWZWUT4LjRY9/d7ARKmt9AcxrjYxKGnlaqJWoBEm9mHIaPWzb6ChttTsJaKsHmtKpdkZ9JhwxHYXtrrksuJvyxX5N3KiFHX3z/71/8zb3/5+AF46+wKNplRmCyVBCW5tr3P+vCBMd5Za3HGvPH9nn3qSoTi40gD8DL6Rc1/vroMR5MV2IyJU2POTTz2bVrHjgczltatt5ucFmRGFwfC4RKCI1kRUU/o3J9XIXYiv0BLbm9gow1psNMAGO0wcnpRTCi1eXuZ0dXmTv/T1gsr9l7/2BwBc8mMOVMTXX1v309bVgYEJrdrOq9h+PePQVZpHN4oYV3vzXIdY16xvOjrNjlIrpupix2s73VSAPiIg0oYWwcDiawWuqsjDSjXPhlYq+7ElG+oaiaWpx+ioDeG6NBRx1wkGVEuC+nOzWapjQlnZGSjcfhetxhhotXt6jKE4b4LeczOuCsiDDeK0Sug6pAK6riJf4yj/Gqr1UIw5StdQXE+E3SGlYMgx9XyIh2LzmTzGqegh9LPxkCpgvFxaNSeOMSYzhPi/zkNoSxGn7hFbivo9nMSWVjZ58E13AvCfPinUjvVByD61peVehKPX5xvDtCKuF5RKXS8XsDrfPWs5NCrHdSzEil54z74JttQWpkfEV7R7AwYq/u8W41T+YTCI2Wkna4g2OCi4TGoTHt/GZNSf+O7QlvrJPXdcErZKrx/QUCT1zs4q+2YF0fXWt70TgE898lsk0MeTR09zQaUXwsAno2jkXld8yenbz/DkOUHYDGIn5cEZ66RNEOKe2KLvZNJ1zvWyXHjleXmdHSfjJPIPXVKHbJS64UZDxFbUxdG1NOjFWLXNpEGP3U2vNWYIwIljuKk0WKsIo5Bb7hO/febgKBf0/q4sbfLd7xN00s/+pjRC+uLVPtNluW47sLhqT07WZVZ906J+f6JWStFwQQzTutY5EWT0e+8+MEZHbauujVKanQFtjd+7hKlviroWR+/FiIrOZwpZdpR6P7CWjKICO3HMdrLOKhXIcVwaSvne6Q/4+z/69wB4+HNP8NxZQWTX1dm2O5ssLwib4tD+o2wqMvWZF57mzElhQJw8KjFP6/zLZDVmdOISV65KzD45eZD5+TlgeEutKM2n/5WsSYZ46LOM2UUtSvxYNHxth8+T3f2ZxJdi2cV5/CNIr5s0bAxBn0w2z4HjMhe1QpZGIWmGtc17Vb7k1/9Q4s3NKGZGY/C5Vpj60J6BfYrunVffNFYppFcUWsuoIsA9BMEE8MD0GF2912NjctxGu582KwiJSEgIQY/UX4woArEZRQQJEt6PqCRMCRvT0fWzp8jlbDZDX9eozmBAs6GC7WZAVmPFjDICchk3bTTguBY/kVQxkNX4JNJnYNBtMTImjIKF5fnh82+H9mFTVI2X3nrjuFilXR85NMmp04L0KRU85pcESddVnwbgKqUtDg0JxMyYXXb1Gqqs/oZxsMOuFYr2uhnDAhYnG3D0DpWGKeWIlOWwurLFN+t+7pd+R/bSczZmWu/jzk6A0fMcADN5eX9RbWm0VsLRmGFgLePlhBo9vDdvmhpnoLT50VG5nzvtLh2NtQIbkVNEczuMUluqV8TugqxD2JeJ68chRZ3vdmSJ1S8lkiN4Llv6uhP4tFSi4aXuJisqQu9q059g4GNi8aON5haPPynX3xoMKOi6295O6JURbkHXs04uYeMrukzu88qqIFUdN5OiFcESKeradV0qFYl9GpvboHs0qxRyp1Ag0OYTjlcgl9ccgx3Q7TT1fbl218sNEfzW2bXkma9pK7eH6Nobe2Nv7I29sTf2xt7YG3tjb+yNvbE39sbe2Bt/IcafQ0SXBSKwLueek0rJyjtaPHhSqkr/6dFLXF8SDm5GeazL8YBaWytrWYOjlZdS4PHIihzj1hlBZnX6PjnV9tnneXiaCS8GARc3JPt43lgmtDL1xhHJ+G538nhFRW4NYpqaec17Lg19nbQ13272cCsqHm0dDh+XbPPSZp8LKorX04pe2DHE+npno8+tt7/5K87OqwvPAnB6/z28966vlzfv+nq+eFayt2dOiHjyj/7Ln+DZz4s2jokdGiokP1qfZGZWRPr6WhnbWGswGCi6xho6HUHYjNRqDHxtSb++wGhdxP+7iswaBD1Gx+Q913PpalvvZmMTI4AXnn3uGQBOnjrJd37ntwPwz//Z/0FzR87n6pWr1OsjX/Ga/9uGlWpHFLN+VTLg880G33pazvs3Hr/C+cvC307aji/EPpWOcv49i6P54lzo8eS6XOOZaUGWdP0AT6uVE1mXbKLH1+myoFXmV12HaUVAHEwQTY6LarGTsZa1psxpJZch8l8rtlzJuLRU/Kaaz5FNtM89uK7Cm8moug4jVTmfSzda/N1/KJXJ93/wW/joxz4CwJVrgnQ5eLJOrSS2eenaJfxA5udtb34gvaaFRUHj/PrvfI4tbQEdxflEwgYb9PEKimjQKlcUDJhQUfB2t8tWY0fn0qValQrI6uomxbJ8r+PL3wljnFwinhrt0n62abvZWNFIMVkyisAYBAFOJlGYQu73TSkoGYyTJY4Czj0j2lQb75zlvSdEyPyjT13n6nWpgiTaWNthyIRW5DI5B1cvKgosX9YGAqcn5B50BgEF1UCa9FxUopBCHDHfUHFoEzNRlHk+ptoQrnEpZBX9Fsb0tIqZc5xU52ygOgCOb4m0elPJZhJsEzuuZVNFL32tQFVtJkV5OIHL5LRUq5dXPoJFRVWNfHbqcBmjFfNTJ8/w9fc+CMCtt5zhEx/7JQDm50Rofn17kn/zDz8MwM/8ymf45V/8NT0Ly/i4oFE2tO01OKkQuetViBSB0x/4ZJJqUNwnDF4rfup6HmEichGFlMpS/TPGJdLqVK+twta5ItGgod8cCrviGUVk3KRhjNi1U2D1ZbGn1jcEvPOoIFI+9swNXjh3WU9FznkLS62ta0/OHRb6I3h6S56jW9SegjBioPY04blkE0myvo9K23DJxOxTUYpEHi/jelRzqiXnh/S0rXo24xCqb3LUnmI/ItLjlrIeBT3PpmPZVmRqoGXfCi6O2pYbubzxzbJ+bTV3WF9b0XMQRM/dd93NCy88B4B1LBl1rI5xiLVyGGoFfWnDJ9hMtERcjIrRx7Ed6geqZpJIlyQaLW6qMeEPAtR8CW20C0CxS/MkQeHsQtnYaDCsXuu/xkmLuIAzFGSNfPkbN2fIeXi88rT4lcabpvmGU7LOffTJ68zPC8w60TLqOIawq4LvOS8VHjYxPLEtx7hDEe1BGNPXcPJwyUPBgVg7YKUlPrkNTGiFPKvGVKvkcVTjab3TIVBbOn91BxJbStZX47KjWqEld+ibui509F4nuMwiomklH4DpqZMALC0vce78SwAsr8v1TsxMsLEhyIV+t5c2Wjl//sUUebet4vq/9ckn6W+qrRUMw8ffpPCFEfVRnXaTQknm5/CR/SwuKmqgnSFSDZY4ClMUb1I2l+r4rvfU5vOFmL4i1xKzkxeJMQ1RGjgZjDaPuFn2ZEUcipeelDXt5bcv8o7jcu0fe+oGF64I0imj97rjOjiKeqjks2njGCcyfHmjAcAbpkYA8IOQnKJMpvNuKr6WjQY0fTneWhAwo9o5OY3pPTdDKROlx+ipDXmuIU58UqKbBqjmN9VsBu2Dw46BLUVIR+pLymao9Wl9WFgRX/qrv/67vPPdDwFw4YLE0wf3HeLBd70PgOs35mk0xbbecNs96b341GcEsfwbn32Cpsb8sYkZrUqsUKtWCGZEM3V16bqedzQU/94lpWXjcJcuV/DHkHwGd4imeU3cswthk2p17XZAhv83sBBxHNJtbYBX4MorEv8tvrvBe48J2+CjT11naUV0chOQdcdaXEWG5HMOJSvPiA3g0bUGAHepLfUGIUVHjjuZc/DUV2SigOUdiZs2cj6zJTlGSdG9O8alrDqnUWgZKFo067nYRDhcp3C2VOBSS1lBxTz5ZGpzLgva/MnR/Z8JYtqqYehi2FYtwmsLV/H09xKdyWg0JpU0suAlel8x6b4wAR03BiWWrko8fvzEKS5dVNqMZSjopYuYjaN07Tt65DCLqqd373338KQ2AguCQcpCStDMUein65jjZYfrnLUkxjVc74aAQBsFqQ0ax+XmaoNbYt9y+XmJmeYf2Obr1C995Ik5XtX9XKyx6ZYfMqUanYWCSxIA2wgeVw3L23S/0huEFHQNmy26ZNSnuMGAtY4iqwiZVlvK6z3vui7VnMYlvqWpfjDnuemtCdWmKsZlR3XZJtwsWdV762BZUVZF0nCq4nrpohf7sLopgZsfDGOQsC3nNbm/ykhV1qM7bnsDRdUA/oOP/zbBa/XlmVsMsbFq1uUscStBgQ5jpsT448jfBSQOyBdk7zsY9NJcQBz6oMyLpKFYb9DHVY2uyO8yUKaI50SpTmqqr+yCTZodxNFQ0B7AfnUx+j+HiS4dkcVR+N9au8e/+JgkeEr5DE+elwW2pjd6LM4SareTApDTwGKsnuf0mMDlEgHLTX/ADhpMhS63zIwA0PANDxyUZNpIvZSKsy+tinPrWocD+gDkM1nWHXm/nHepqkC2Mmm4493vZWJKjOHY6UNQFVG33/nFX+Dbvk201Da0O9/y8hKPPP2knFvf485jt33FaTm9/x4AfuOTv8x3PPjfpe8/+phQWx55TLqXXLu4jQkTqGnMjesyZ6OjsxSLmmDoymZybHIEx4jBra/N88Y3vReAS5euMDIyrcfo0uvJBXa7snDv23+A6WnZQG5vbzF7/DAArdY2k5MTejxxJM8+8wx/7+/J5vYH/9YP8G//9c8AUCkXaLd3vuI1/7cNjRhcD0fhwiutiH/1cdlE1YtZnjsvVIWqboDrYYaupwmVKMTo4jNVznJyTO514uw3+wOaWVnocn6G01Myt06+xD2zIwCM18uEvkTM1zflWpv9mJmK2Hct57A8L++HUUxRk0wHlBa2EdtUVLNeydJSykcGwztOS+DUVPbnIBqkDRam90+lC1F5rMh3fK8EZ7/7+5LQXV1bIejJ7959+328/cE3yPsrN3jr274FgB/6tf8eANep4xo5bmRLCUqVjGdSkcbdUOlNFb62ccylS7LweAwoKGXUcQ29XkvnUoMKzxluTOOI3Rq8zq73AcKwT06DBkMEcdIRxiTo5psyjImJwwGuJvVWmiE/9UnZWI0WM7x8WSgNJV3dJkNDoDTnMPDJaZB1qFagqLaUuPHAtwRK8+kEsE9900o/4rR2yRsfKWF0cbiui971Rp+DNTnu5EiB+UXZpNoYZtX/HRuVf5sMRbwL+Qwrfbn/uSjDsZr8RkJl861lyhUb3O5FuCq86ZUcRiZ0UVOaSBzGaFzB937Tf5+K5z/z3DmKFaGoPfKkBFjrGw3yI4flmnsx9VHxMc04ZGNDhDWdrFy7m3XB6vOVKzOm0P3NjQ3aTSliGG/XzVZbiiI/XdQdL0OnvTn8jHZ5TBbTKO4xxG73GS6bOUgSrwNe/2FjESe3AW5N5vPyZofzGsDW8xleuiwdXz0NEvb5YFU3NAqGDQDGy3kqdblXcSK0HESQ1SBqEDM9rkmLXIaT+pmZsRpW1Xtv7Mg8X2v2OVCT4+4fLXND7SmLQ00T9uNKbWsGlrw23cBzWNXuxw6GA1WxuS2j1mCgrsnJjbbPk099GYCdcJOENdjRTkHOKmSSRK41SRNDMsahpV2RCpo0717tgHYukoZMiZC3M+ywqd2hjGOxGjkGgwGOlyTILX7SPdlzsZqoSDsxhkFKpRYfpdTE7AhxoOtXnFC43aE9Eae0axs0Rcw1Tde8zsMI3cnVjOaNHZ+f+bRID4zlMzz/iqxzRU287wsdPJVjYDBIentwoFzg+EjSGVBtaRDhVuQ62oRM1CSYXduBIyPiA2bGq7hKP1jpiS29sNzm5Kzc81P7qly8tq2/F1NVH1pWf9Tqh2RVSqI+XmR+U+yOEPbpvW5roiyIY6rI93tZw3f+1R8G4JOf+S0aPUnM5LTDW6e9RV79ru+3qFg934lpoYsBlVHxUZ/43EvYdkK/G2YbHGOojMhnku7F2XyVrDb0aTZ7NFpJotOkmwQbB2nTFMdTI4+HTSRcxyehUodxCLGuscnuaFeyQjpiDWUCrL2Jkg8W2XnHMUapYpsDl5/5wxcBmB0p8dxLc/LZHTmPAyFUymJPS91B2vRkqpLlkPq3hCra8SOCXNI9D6bVd4Umy2n1MWP1MqjExaI22Lm+47O/IvO8r1Lm+pLYSMl1GdO1qOIlzXZiKmoDmXyWJU2QWMewv6L2pL4kjGzaoa8x6PPYFyUm/4G//QOsdmVNvzontMPtzTWeffpRAMbrk2T0WX/pxSf5jg+J5MgXnxHftr7QJNhMaNV51vpi/47JsrIqyYehiHMOdt/TNHHgpZ3HDK5keyBtpiK50GGsn6yG0ojjTwiEdsdru+zpptIXMTheMS3eLjYDfu7TEjdNlAu8fFESOLTkOk8VMoxqfLfc9tMuhrPVPEdrcp+yCT3cj+glC3Qv5qB2614fwKkpqbhPjlaSlr0saofVG40+MyW5N7NjJZZVQLzgOlS1+FNT2ulWJDYP4FqXtS3titoNOTqq9C2lrvWDiFEtRi52Yr7/+/4GAP/2F/4tE7Ni5wWl6mKHcZNxLYEmbiNr0ySsqxXxuGMoZeXaLl9ZHlIJDcPEgd3tL+T7V69e5egR6Yx67vwFztwh1L5Pf/JjKSgkSczvFrGXfxMl8ADc/GuOu9tejOMNzSoKh4Lkr/ewmsRzbVoUbwxCfuYPXwBgrFjgxfPSYKWsj8khx6OgsUTUDtLnbaaa40hiS+qje2FEX5/B1gBmVBJp04eTurc7OF2HgdjQQlNs5norZJ82lZsZLTCvifJSxqWsVaER3ddthjFTmjNwYsPSekLv8zg0Ir/R1FgkJKau0icbvZCjR44DcPH6ZSb3iy04iayN3yf0xW5fvfoYzU09ro3xQrmOnnahbq82caw23At80iSm4+26rcMYJkk25XIlBtr4JZt10y6OhUKJSCnVSQd4azJDir6NVOYGYrzUDySU5Djs42SS7tWZtJujfIivOvaoi3tjb+yNvbE39sbe2Bt7Y2/sjb2xN/bG3tgbe+MvxLipiC5jzIPATyKpv1+01v7zP+VzHwR+G7jPWvvMVz1waIGYQ2dEjH6nM4BEgNsJ8RuSvR/XbGzGWp5XMb1ynGFUaYPBIMbTjPWV7YSm4mIakp1cwDBTVVpRJUNf6X3bjR3qk1IJ+OwrAqktlitcXBAExdtuKVGYlN9oNgOOFCUzOqZZ+sbGS2w25Nwnp8tUFMb6wH1vZOrOD8px/+n3A5DF58i4fPa2o2/4E6djKZaK0hNf/gzf9sBfB+DwkSN0aADw+LMvMD4qMOhFbZG7PTdI0Tz7Zo+wofDp2+84ysK8HG9rWyqTlXKFtVW5Ts+rcPmSCNrHcUxZRfwcJ8/x40KpWV+XqlQQhlxXpNjMzDTnzr2qn3VYULHOjCcokUJ5nA9/+EcByGVd9u8XlFuvN8BPKrc3YxgHk60AESOHpfpK4KdUN8+B7rbc15GKVkViy/m2zGM2zFAvJTRUQ0ZhRnOqhFsp5Qg7ioaL+hysiy24YUhb6YjRVpOpGakGP6oV7djL0ejKDTpQhUCLJXHHUlSbdTUznskaegOlUtosJ2cl821dQzbJZSsKx3GKFFVVszV+hj/4zEcB2HdwkouvSgWx0ZFzOHHsOK1tqX632mtcVbs4crTGuRelYnllTuxmZxPiQNxJLlOhr63D6xOTrGvL8bQQYExK1zFuTFKVdk0fRe+SzRfIaMtw1WKnkLeUFW24trqctmJ2zFCwc9hG2U1bIhsvuws27Q1h3DdrOB77b5NnNgKswpeLGUOnIfe8qj4oYyIuKBzZjaCqwpE5Yyhp1euifidb8NhR4dLtQUgxmzSNyDPQCuJWs0tNkTmPXFWUkpejHyTtin1cRUXEvUiUfoHFZW2ecKiaFKOIcTkwNgJAL4pQwBau8gfCMCJSVGhjqsrvfur35RjTFZa1kp403cg6LmNlOdbvf/6Xefe7vwGA5dXLTIzL+08/I7b2jrfczuETItp/+flzdLVlsuvmsAXxu9OzglRcnJ+nUpZKarFg8JWiWCxk6HQVpWMGxHr9OFr5dh0SEWjP8/DDxDrrQ1i02pfBxZqGvGcDQNAohCHESRXzJo0oAifHlFKpba+H1WqXF4W0N+VmFRLkTRBxXa/VjR3G1T+71qR0u02lpBfyGVo7Ml8bg4Cqtlcv1xxCFYVeb3YZ1ar3lxJ7cnN0lcZxsGpxVdw3GsTkdFEpJNXkgseaIkzbccjsuD6/3T5bXZnHtHV3aEEh/YMgZn5dKq+h6fLQez8AwOefEH+VdR1yXkLDsCmlxfcjamX5j+srSg/rRUNqDllsQk2wBhTJlfoPm0nBVm7WJUoE5HGGPIwwSqnSCbTecTO4WnEM/UGK0jI2UOSE+CH53TAVZjWOR9KkwZqsIL3im1R/tAbjGPafkWfHiyFSW3fDCEfREpnikCtzQ/14Bod6LqGHx2R1khY6cm9rhRwDbSqw4IXUBjIX+awHm+LANzsdRjVuempB/EM3dHjsoqw3bq7C1IxUlpcXO+TUf1e0mh5lDB1t4NKNYvbXxc/tBH5KV/W1ep0JhujfY299O3GCIMjGzBQFvbDauSTfb/fIa9v1bqeJrwK5YeRR1SY8X3xEPht3sxhFB8dBNhXhjeKAiXGJf8KBrIl9f8DhA/Le888/j8kIMpXIJ045j4Zjxw4DkFPk47W5G/Q0JrROAROLb49tBAkWNlI6lOMQJ1xzL5/aFUS7Xt+MYRVRZJi+Q2LLzY3tNG4yAx9H4+iaMi/Cgc+cIlIyxqGSTxCzNo1TVjtyXaVCln5XPrsZDtJmKdlMRG9b7s/SVousIvm+NN8ABBXX1WL/YX9AQZEzfj9MwKtU1HajksuWUnPJwayiojuDKEV1hAnqNzJ4aoen3vdu/vXP/VsAtnYWuee2twPw0sWnAdhobKWo6uLsIZq65nie4bd+9z8A8OhLgsoNGgFp/OMUcFTce3R8lLU1+UwardiI16Cq0pdxKgtgsLtoPWb4/wmsI47E/8gB00PtpjaaJGY0u/iRN3UYHOMS9zeZuEOajnQ721jd021uN7ltoGgp9UGBH3JZ/X/BzVBUlGoYRmT0e6vqmyrFHKH6psXBgFEVuc+6DoOG2NJ6q0N5VO7/I9ck3oidDNu6DmbdGEdRn0E4XOfKus4FRYctRVVHjsO+CVnnjOem4uVWUUPZbkhe14IDt99L04ovqI8XySL+cRDLOWQdN/WDYRSTV4p+dxDj6nEPHhY5m/x8m4vrr6A/lqKGdzcY2K0B72kcEYQhV+au6nVaLp6XLfig7/O2d4p8wBXd821tbxIo8s1i0nXVuDleiy5F/IPZZUsJdR83FRZ/3YexGCO+b9+t+/Wcu3iKxuz2u+wbqD/SuczEcE39QDmbwVUIXRhGGifCmuYPKsU8kaKGb/h9SorCtS4E2tBuc9CnrJT+R6/L2ma8HC2VMCIKcXS9aQ8CJjX+UbwSUSmTNr7AczkwKbbU6odEuuerauwf+zGOIqs2RwtEimIuNTL4HY07ymJfOc/l0D7x1T/8g3+b3/rozwLwwovn6fXlM5evqAyIyae301o3lXbAWkwSIKUNDkLKZbneW87cxtxVoXBvbqzjevKsBWGPXKWu86rSGhnotnXtzxSxsTZlyFbSBmRutqKzYgn7icRNFicJ+MxQMuArjZuW6DIyGz8DvBdYAJ42xnzUWvvKH/lcBfjbwJNf+8EteIblVyX5Ur1rHNeTu1KKLcWyckfL4tx7xRi3IZe6v1rAV7hcNeNxVXW3EsMJYktWF4r99TJmTL73iefmOVkWU3zL7ChdtcpvuOsQAP/5kSt83/uPANCP+tSVV1sESnq8daUk2OUG7/pmcU5xa5Unzwll5/Chu2k8Lno1f/27vkd+4OiHeOXJXwRg5tSdf+J0zDqyOHzbA9+bvvf085/mzCnRzDk4VeRznxWKwluOieFsLoYEOyX93Vsp5OcA8DyIggYAFdVnqo+OkNduIDfmbrCyIgmwffunUn2cTmeHK9od0kk4Dlh2mhLQTkzMMDMjgd7lS5fT73V1IXEcS6kgD8vq2iarq7qpioNUd+fmDAs2xNqYrXOipVC7fxyj0VImkg4wAKizNKUQZ0Nsa381n2oW5YGFJMGliZyoH6d8/pl6hVA3ER95YY4zNZnT+6ZGWQ8lwHuvOueHL2zy3jtlvhY2GmwonLpaylJS/nZbKVlVPCqaRN0/VSKnFEzPy3FjqQHAqN6/2z/wl1k4+0UAPv3cc7gl0Wxrbq7x2U9/BIC3vlPosw6W8VG55u/5rv+Re46/G4AL1z9LY0eu857bJZB/9PFlBr7Y1tjECGuL8mwGYR/HTRxisoGzGIWeTs9OMD4mAYZjwvS46xubnDgpuiovv/QCAIPeJt22HBdTIQnCrI13we31t6yhr4uT53mECfQ6jtNOa6//EE6kMQ7XnxOoff7uEeJEg8d3KCvU3SQBeCYk15GTP1TK0VbaQRiFzGnQP6IQ/XY/JFJbmq0WWVC9lrMXlrhFIdRvmKyzqtf6rlvElr54aY23nJb7tLHdolZRmHEBRnTB0Dwpra0eWU1cnBwr09SgZiafA+0EUxoXm/jIK3OcmJBndp/Xo71fN3XnFplWKuTJA4cBOHXkJG+4U7pwedkSD39RNANvO3UbvVCCuu//Vpmn3/3CR7nrNvns1vwi66tbOr99kuTU1qboL2A8DbKkm9HauvimXMbFRpqxc2IcDTKTzmjGcdLue/5g2DEPNjBWE94pLW2bdNU3Ljhl/awjkP2bORwHghZLT4o9lc7cQleDkpyboah0sb7eM784SDeY+0pZukpp8YB19Wkl3Yz6fkikeiX7a0W29Tn90rl5btMOi3eOj7Co1MV3nxF7+vyFFd56ShK5KxsNyqpX6WbjNDm7aOU71X5EXf3VkVpp2MWsksErqeaJdhX67MUF9unvnjpUYlU777g4fPYz4psKI4mGoUm1dnw/TjXKHAyag+OWQ9o5d64zbKRoAwmEAZwMcaAJB+14hw1T5g+ZPAk83/UyRIE8jxZSYZTdAVe8q6OVcRJetR0muBLqouQH0vfSwNFV/beb4p5sSm+68bwULIp3nsDqBjnneXjKRsxo8iCwA8yO2kchS9cmCVTLWkvmopjQR12INCk2lsmlen7PvbrM6aoc+LZ6jXV9Xt6plPp///mLfPhbJfG03e6QN3Lck7M1xjTR/Mq62MGkk8fT5MjUaDnVpqmNFAnVrgKdvGfnt4bU/vkn+dRjnwXAcWNc3fR3td21ZyGjFNVW0MNJzMNEVCqyNv3Vvyx0nl/42U+nnR2lj7YmPK3HpXMSY2VK8p2JySmqNdGGieOYjJP4oJA4lMJCqVpnQ2n8J07IM+X320NKbNwHk3T4NMM1VCkmMR6oLEcu52FVX87vt4Gb6ZuMbGINLD8jScDSbXfR0USc57iYTNJNU/zzBj6ezlc9a2irPbrWpgmurCYpen6Q3odD9TJtfYBfeHWJuybF/56qV9jRZ+5tp8SeHr28zttPS9y0sdmiVtTnNOtR1XV0UTdUVd9jXP1mtVYUXRsgGMkQ+LqZ1+f0sRubHNA4cP6VR3lxXuLT++9+A8888zAA73zTOwFonmywviL+eqe5RUvpS4VchhfPy/Znn2r+7CxFhG2NFeMQo+ubtTC7X/ztjTnV0jXerj3dLqE/4+x6Px7qBqa6Wy5D3QiG/gYzpCamDomUriuxzO5E101TeyO2EZlcDn9FfqN2T5Wu+uZKoUhf/amjhZt126GmFOOCDWknVF9iVnWdS/ROB0GA1XXucL1CU+ftucurHFHa121jNTaVpvouLQR87pVV3nJSYppuc8Bo0q0zihjRhNua+sRK6DGjxypXivSTdS7vpb5lVM9hfuBxbEpsdGXzBhdVbnRipEZjqwFAUWluOTss4gZRRE73kvmMS1+FlabG5fgf+Ibv52/+tb8lB9t936zdpYll0r97el5hRFqMiaxhoPFFpTbOwrzYcVb3x2OjNVYU9CBJrt028ceTokkC1QZ+Gk+BdMWFm7HUWTAhxjXMP69U/FOnGWgH9rFKiV4r6UaoHYWjPlnVo6o4hmaiu2VgvZv4JZmfvh8QqV7gvlqZtl7Bc1c2OKq2+abZURb64tPfclLu85de3eC+W8S/N7e71DT+L5fyjKlf2dAEUDlyGNWkaqVWoK9SAuUSabxm9HyemFvhiBZ8zhQsv/K8yqRUhutjqSrr0ezEFJPjAqh4/qUXmBid0uNeJNL1ZGZG5uZ6p48NJpIZhV101KTTdOJnPDfDlO4Drlx8iUiTqvXROgO10eZmE3Zkf+0VJb421qa5AsfNpnRWBx+jOl/psJDR96JgIAVCRDNu6O/+9HEzqYv3A5ettVetiAX8F+D9f8Ln/gnwL0jL5Htjb+yNvbE39sbe2Bt7Y2/sjb2xN/bG3tgbe2Nv/NePm0ld3AfM7/rvBeCNuz9gjLkbOGCt/bgx5u//aQcyxvwN4G/ofwEZCAOKeanszN92Br4kgLB82bCkndcOa5b21kGWea2gdeOYQiLG2uniKVXimCJXdoxl37hkDuOiIcFBb/UDBqMqaD+VZ0czoNv69/tOj9LSDgPGknZ72YksEzrLfU0rri91eObRRwD4+h/6d0xs/p8AhO4ytan7AVi+Lpn0oPGrnHnj9/+J83JtSaiAR2ZP6zvZ9G8f/s7/LX3924/+DDtbQkv7j78nVMKg5WCQ87188UVuvfVNMifX58kX5fpr2h3h/PlX8RMlfWNwPUHuFEo55uflFt9+260k1e9AqTMvnX2ZTMbX417hyNGjAEzPTLGyoh2eHO0iEUZsbSU/kcE4SbUqYmpKqqKr89f+xHn4rx1/1J4ERhunFYfHalMcXBeobr5gU0HSfVoVOe5nWNJqiG8MOa1qL7a7TETaeaoittdwLPcel8z5wIH2tlRLNro+G1qdLo3m2NJH8ZpSSw+M5tlqyus4sBjN8K93fHIJVUgz2Z1ej7JCaF+e32KyLPetZTuM1uRebSu17RO/8St84G/+XQCWPvso9KVaPpUrccd97wRg9ojAWyu5Pp2WlAU+/YnfJHyX3KtCschF7TD05cfFrvqNAkYRIY3N7ZSaGIWGXFYq630VILYWIkUSzN9YZGVZKGtRHFAuKUIgU+KFF6VCnpQrHaeCVeSbMXEqXmhttKuwNKxWpsL0uzrMYCwmjnm9qpOvsSXjSlc3Y0AhxtdPnyL7hDTKGCnZtHKWV4X+/b7LtqIcusRp5W2u0yPbk2McUsRbwc0wrTDmhh9Q3JH7sdbrM1lVGl49R0+r/vPa2OD4VJGmdt8MgzjtpLMahCnlYaDT4fSDVIz60VdXOLFvBIDAjclllabck2d6X6XA0yuCrMrkDKvL8gDP5IvsRIqmDeT4t56+m3JRqj7FSpl2R37w5C238vTjQkcLix+Q74+/ynvfJzWRT/zup8hkEpFKh4PHT+h1KBVhcZ6dplxn0LccOCSU5ziyaHNJBt1NbALpUbdSLBXoKuLPegw5T5ihsG8qQB+xCxI0fG0zDFsFvD5jtz0Z41DMZ+h0fVxVY3+8PsHxHWneEJowpXeMFpQKuxmwpIi+rdjgKF9nsd1hNJbPHKoJ0ikuuEwoOqIVxTRXlBLU61Epy327tz6FryiDq4qsOTZWoKW06zgYCtJuBDEZVya4o3PU6/Wp6blf2twZIoCxVIvauEM7nO0vF3l1Q5sfZB1y+r0sllWtwvq6LoyW3RTQkHEtnlIBopCUNviFh6WCaBgiXaR9j1LwIjCK7knvbuhL+yIgin2SWmAcuSmtSKhCiu7V8wkHIY7aqaAgFFWOxUnaNe6mkiXNM8IA6yRo00Bp1TfBN+EoCs2AIsyem5ylcuNlAEYmCwlrlGmlBFUaMStavW160Feo20YwoNqXz5xRoeV2ZDlyUNAPLRuxtSbrzZXNNgXtNnX/5CS+J/f8qtIZv+newzS1Y2wUxGlHq7VuN5XkL2hn66WNLiUVVX55rUFFkYndFlTLssZkFEk/ksnwqnZuruQzKXIlD2xpB8WBPvLVQkyciOk6Tjr9J4/fwgNvfQ8AP/S3JEaLBllsmFCCPLI5OYjremQzKhS809Izt1y4cE5e2ZhY6YY29vEKUi2PTYF77pEGQy+9JNX4MPRxXHkuTdwljuV4UzOHKJUFvX/tktw345WJ+g0593yVnWaCfnUxntiojXY12vhvGH/UnozrCHVX45BzR44w9qycV82LyCiqREGYTAYOa4oyaxkvRS+v9/qMq+zBrN7/rgPHjwv6oG8sm6tyL1ejAfPaWOK+iWlCbel6XYWV75gs01VUeOQPKcub1mL0Hofqg9Y6A/KKOrvaG1DX9c0WA3L6LJfUCMezHs+ty1pXL+UYqwoNx+t22FafNaqMhc3Vl6XRBzDo9anX5V6XShVGFOH37/6DxP/EToqasoyQL4gdX7hwkUiRtEYRfbu7uYrzS7hF0m0WhGY0BF/IizgeIrMcx02pi8L6UUqbxp+OY1IGhY2DIS0oRYG9PuOP7+kMwSCi1ZL7eOng7dRflnh/NGvSLphT6kudHRc/qzRex6GlMdR6f5ctqdRIzzHM7Feasx/haXe8+U6XcoJirWUJFJ37qsq43DpVIUooxFGc0pQ3sbiJLemeYaMzIKPnuGUsnsY9jjWM1MSucgmFsdfiieviH5eWVzBVQe7VTZY1lRjRsJypQjalZWeAwSARhTepQPqnP3YegE/+3k8QB0PEVmIIBmdXd2D5x9qYnh7LWhhR8fPtxgYTk2LHt5y+ldtvEwmJC0pd/NznPjVEMb9mDNe817yb/J5jUpRqPptNm7m8HtHTH/NLjoeNonTPNH/8BHxJYvDIxEwqmmpc6dDhdsiKrg9N16TI5e3+gFHdz03oXi1wDMcOy/O8E0b0VSZpddBnoqqUyKJDVhsEXNJmdXcfHBepECBrDb7uj7aiAY7KZoR6j9Z3uuSSZj5OjJdQ5bMZssoI8TRGH83neFYRdlnPpZCV+1j0DMVxiYXdEfnOd3z7N7G8pFTKMMJFjH9qfB8mEJmIL51LKPVFjPqGuNfnh37ohwD4zBe+zFWluSZ7qijqcW1BfGMchfz17xNm2X/4pV9NbddkstgEhaUxRRgGadfF2Fo89b/BoIubAJf1bBxjSNpouJ6TitQLG+v/Q+riVxtGnrx/DfzVr/ZZa+0vAL8g3/Nenyhwb/z/drzWntw9e9obf+bxGltyc3u2tDf+m8Zue3LdzJ497Y0/89iLm/bG6zleY0/Onm/aG3/2sReD743Xa+z5pb3x1cbNTHQtAgd2/fd+fS8ZFeA24GGtNkwDHzXGfMtXFqS3Up3LeGwrn3mwvS2lXODcyoBjKmhqNJt4ftBOc80xMUYrchcXG5xUbumOgqGyfUtLqzHFMMcri5KpPDlSYr+KFZ6YqNLWY2+pePSBiRIvXVM+8wjkc/IbtZyDqxWEca2KVEfLbK4oQoo1Wg05h6O3HYVRAb1VXKkElg+8+U+diXNP/x4AR97/j9L3Yq2YLa6f5TOfF12Kje0W80uSsa1NaSvolk2z/Ksb60xvCFF8ZWWJMJRywuqqopaC3rCyY3PEinhobjeo1+Tcz770FIWcVLkOqC7Pu7/uXSyq6Pz62jpdFd1eXl4jn5fv3Xrb7QBcuHCJTkf1HbIu+2elqnD9+hVaO40/dQ7+m4cx0t7bRuk1tq5foqsc+1d2fG6f1Tat+pWLgy6h8rSdDOQ0476w3WFyVqqQg7xWYToRTYWW1EeKPLUoNnK6XuOW/TJfp2bH2VabM4mYdrXMqlakbzR2GPiJsGuWrFZtQkX8ZByXTIJUcbNcX5H7ly9l6Cbt1rWU04gtN5YFhXfk5Gke/vxzAFhiBi2xkTMn3wnA9uYK998rFZ3tjTahVhjvOPYQP/7j/wAAL58g7zIk4jadfpuskcpCLms5fvAYAC+8IDaNjbCKaHJcg6fV04mxGRwtAYVBi2OHxUYWFgTx1e8bHC8RJzSpdoExmaHoZSo6b9JMvwhGqzB12MNxS9wUkVVrRew1HorGDra3U72PZ5sD7p1Rnrnaz3zop8iUII4oJhpHOx1uU+HmdUXJZAcxrqIYZkpFHp+bA+CWWplDYzIvJycrqLuhVtRr9PIsbUtVf6nfJVa0WT5riNQ2y4pKDDEkwBWDw+am6oTFBkdFhVdUT+XSdofKmNj7yNgY/VBse2PLUFT9pMPHBcV5/vxZ3vKW9wLQ3mkzUhf0x8tnH+E3fvcTADz1ZbHb246f4eO/J75tdGKSdkueg+bODnPXxJ+Utf17Npeh327ICTs5VpfFhguFEhlFpgRenlhROkmpqN3pk2rY7JIANJldLY+j9vAP8S69k+RYmF3oLl734bguxdoI1o0pVcQH5cOAga51L6z2uX9S7MnoPd10g9Tuezakqkv8emfA/hlBcg3KipochJQLMo/TpTwffVUQUKcqpVR77eRUha4+q+Wcislmcyxuybq42u3R0+paMW8ItUpc1uqtj2Ggtt63hqTbRJcIR5GHW2qvS61+qqHmRzFlFdjv+z6TY1IhbRlFI9hhBdkAvoqUR7Ehl1e0VUb8lR24mFRjbYhAA0FUyYvdyAV9HfZlbQCMU9x1j51U5y/qK8LUzRL7KhDueZikJ3xsd5mGzp/jpNoljptJbdNkiqIrF94E32QMuBlwnFQz0uv16Cta+fFrW7zjmDzLSVC47QRE6mObwYC8+oiVRpd9us611SaiTkisFd59lQovXxCk751TdY5Ni2/aN1LBql5bLtHKy+Z4QZ/pUsmln2jKGYeszldN14cLTpcd9aV4eZY2JYYaENPRBguJlsxGNySr2idj42OsKFK6PxighXxi9Q9RCDbRucp4ZBWBfOrU7Vj97QfeJXHYFz7+NClq2FgGil63rQaDTIK8kT/3ej6z+yWOWV5cSP2Jm50kn1N0h4145bwgudbXBeVuiESbCygUCziKHlxZWgSbkCTk3KuFDFbRYSdOnebZJyXmw0a7NDFvwrBWdHdsmD5OYbNBVzUdX2r5qc5fpHPUIaKvz3rPhKk9re/0ODAt9uQX1Ge3gjQOnx6t8txZWVvOVMupbzo8XmRKr3F/JQng86zoWtfo+wT69JWyBqtrXUXvX8tAR5//QqnAsqKex6uzNLuKjAvks2v9OPUFnX5AvaiC5tkMkzXV/lq6DMBb3/Iezr8qWlxXr16k35P7XiyPcP6yIOET7S9iFxvJueey0O2JndooTHVohkLxIbu1ctKDGIvdrbGViH4nTTCIhrqE1u5CkO1e+PRZiIZxsNmFCnqNsODNGMYDG1AfGQGgvbJIQX3TubbPnYpCtopk6YcBvpr3dhyhID2aA5/JqjwvDU8bafjgqV+YLmZ48pogxW6pVTiuDQiOTVcZqC3VtAmSly+wtiUxSbM71PEsZRysMnZK+rtdpGEPIMg0bcBStRE9RQiVlIG03OpTnpT4x3U95lWDrVwucdsx2TJfa8tajDXDtctaMnqhg8gS6j6gp3pQG4ubJFqTxlgcZ4jCSxAwr9FvS+4zEOnrQwcPp2jG6zdu8PSz0mAh0phj3/4DrCobR9bqP6L9tet15Hdxswny2U1j+16vPWx4cDOGcQStqH6nvd0gqzHdfBAymQjTd8VXdcMAX+M7P7KoW2J1p8ekNuLpZeUeeH1LpDHkRKXIIyqwdrJS5ajq7t15eJqGNiZItL+9XJaG+pftrk+stlLIZohVP6yU6OQ6Dj3dB+bcLCvK7HE9D3T9TLQMrzV7+LpGD8I4bfDh+/1UJ3dcm53snz3DZ770YwC8+43fxtV5WaP3zZziwqtzwDAMckwBR0U7nXKBe98ojK/f/OgXUhRWutfy6sN4BnjuOUHPFYs5en25jti66ecTjS9sTBzJPXC8DKEvzwxY/F4DgExBYocoDNLmYpF107gtCn3czJDJ9qeNm5noeho4YYw5giS4vhP47uSP1tomMJ78tzHmYeDvffWuiwbIQhykQqqf+mef5b3vEwHBThDQHshlrSiUcDXuM6E0p+aOz7IGS/WRHP0ooRiooXsR5WTR9AdsNCXg+N8+cAcj6jiefnWNKQ3eDlTkoRmZqtJeEcNphpZNDV690KWkzqmmD9PiIMZqgLz5/PP0QjFIRr8HtFNi+cB7vvI0AFVNgj396h8CsG//UWbLpwDIV+u84W4xzu21RV546vMArJ9Xh+daafMGHNq/n8kpEYgLgh7nz4uTtTYxvFAXWcC4HDsiUNtOd0CkBjc9eZCtLXnoV9dkHjY21smo1xibnEqpG3fccQcD7UCRVVHHajnHwYOH5CeMpdmU4GB238GUdnCj+Zo+Bq/PsICNMCZOH9bLH5nj0NfJNbYDn82+zIOvSZ0tv0c1FBvZafm01DvUClk6ujj7KG0gE1JSofB2o8NaV5zW//H+e6jpg3v26hoj2o3x/n2y8JanKnzqCzKPU16OZc1kFa2D6lTiqD1d7/Spq9BqplhkpyXn2+z0aaqi6313SMKhtbxFY0GgpzcuXOWNd0micX6zzdQheb2g0NQD+44wMyNJqlsOjuBoR5hf+63/nX1TYv/hQN4zToSN5ToLOYc77rgHgMDvM6ZdAGsjSu1oNEADL2tJRcGnJ2rsaOeS2uQBMkpHskqdmpub3wWrB2zy913LbAqxtyk82jhuCrN1nexrxetvwjCGNFnyB//753n/NwuEuBOENHwVQNdNWBuHsi4ujZZPS2OaqWIBV4OBnMKc/Uyf/RPynG6tbbLQkrn6yfffQ10XvqfmthjRDcZB7QZanyqxeFU2SHXj0dLAa9zxyGWSRgpK54iilPo1PTHKpjbr2OkOaEQCkd43Kcc/NF7jrgfeBcDDj3yRI7MzAJRrs3SUuvit3yBdZL/whc+zvCr+4V1vfydrmxIsdXY6PPR14uuWLksnz3/8Y/+Ue24ROg9eKRXedJwcTpLESbplxRHFktjX/gP7uHFDgsbe1gp53dE6LsRhojCdJEeHVARil0Tk3gbRkP26y0gy+UTwPkugYtSzs1OsKz20s73A6z3CwGd9+QYnTp+hOiob5i/+3JN8u9pTL45oqo33dVO05WSYKssFbAT91B9NjhXIJ/RGpX+FXo+crl/bG01W+0Ih+zffdDfj6k+emttkVJtmTOZlPsZm88xd0u6hrpN23szEUUrvK+i//Yi0EUS9XmNjQ2y23w1Y0teHtZBQzjmUXKVQtH1qOfWxzQEbGuxVx1SEO0ua3HaweNpBqeh65JXajW4EhJaTdA0i9RvYGKPPTdI9kTgeNhgwBuMmXTXjNDiVjnYaoGkgH/t9UKFY6xRT2oSzSxR4CLe3WD8Rth+kzQ2sE96cJJdei+MZsC5JgvDT/+ZR3v+NYkut/oCG2kpyP7dDj4o+L8u9Hm2lBdbyOXx97eu8O54lo8/b6vo2K9oq9ye//V6mtJvnIy+vUK1KrFPQ2GNsssjiYnKfHNr6bGUxKZ0w2ZtV8jkCjUPaxrCjyS1jDVebQslImqdUi1lqNZnXrY0W1Zycg+eUeM+D3wHAK5cek2tvL+FrQuPW03ek1K6BHzBaHQHgC58UqplxPWyYNBcIU5pzsVzkyGHZpJ576UUAmjtZmucS2qDllltkfXUzBd72gMRmv/Nbv05WKRulsqz93VYMkWywgyDCGKVlFvZBpJIWA7GfnZ31NDH3wrOPqy9DkyA3U4IXcIw8S7q2fuEnH+H975M56IURHfW5CQWm43jU9PSWuj12NPYuZTMESWMJTTZ4WRhR6Yy1jQbzKgvyU99xb7rWnb3RYFqps0kjhZHpLNcva2LJdWkm+eYoBk0+J8+kG5vkLbqxQ6gF8Lfc8wBn3iz359Of/B0ADvoOO90GANfmlvjh/0E2jP/+V/4TI9PS9OnYtNKVrpxjVZulHD56EOOKzZ8+dguhCqw//BlZC40bM1oX3z49M8u1q0JL73S6Ke1yd5dE4wxtb0inh6SQZxw3XbZMSmfc1SjDDLu8gpsmwJJ0vHTxHArUJ2uk5LxeP1r1a4fRH3DotiTBeOUPS0zcLb/djyOayRwkm91CnpzqLWz5AwJN2o3W86gbY6B25zhhKn/Q2+mwpL7pxx66nbrGmC/Ob1PXJhxj2il6dCbH/GWJf3KuSzdpCR5HhMnLlJVuyel/RMZlW2UlgihieUlsYXoir+9Bc1NpqY5lXNfghc0GK7rfHJmQ842wmKQIGYRkkzjfWjx9va2SArlslkGS/bND6Q6ZMy36pklTN6UVGuNw5hYpaO9sr9HRjvI7nQ55LYT1OjIPiwsLuN5uGusfT3Cl/+WYNAa3WGK1R+N4w2THTRg2DBHRALnmh3/ySzz0Hlnnuv6ApY7EOXVdEwLXUFUfdqPbTYs/xaxHL0jABDLXRScil9NE6mabhbb4mh//prs4oGL0z8ytMqGgmCntWzQxU+Czn5MYPOt5NNU3htFw3+kpJbTnh+nebqcTs7wpv5EtuDgqKZHsqz0vZETX3WYvZDYRes/WuOO+hwA4c6c09fpXv/DhVKD+dz/+i6nIfb9vKOpewXHEVxnHTcFDjpPl/HkBKbTbTVIfkDRXiaNhL7DI5+xZKdzE1sPRtcmE/i7arMYMmeww6Z50vQaMk8XV+CnW/ILjDjtgu06WWItKTjaT2thXGjdtJbTinT8MfAo4D/ymtfacMeYnjDHfcrN+d2/sjb2xN/bG3tgbe2Nv7I29sTf2xt7YG3tjb/z/c9xUjS5r7SeAT/yR9/6XP+Wz7/yaD+wglSuldo/Wa0QqQDhWLjCtNJ4pVRpcWuwRKnU3E1u04yVhBOsqEHrUke/UR+rMVuX1p558lQ+ckUxwybg8eUMy5+0IagotXGtKNrVi2nQV0hi6EVmd2h4Qqfh9r6MZ1KxPoJniL3781zl2z2701sjXPA1NFWE+cPg+ANa3FplNMsi5o5xriTDok498hi1tB15TZfyd7WH1fXlpnZXFxwHwPEOUVC6U2uOYEFeFVl03R3+gVJZKjcUFbRmaMXheXT8v356ZmWJRaWcbG4scPnIEgGvXbqQVlkkVmj91y60ECns/f/4CoWbVR0aqbG5sfM1z8l89DGAMFoOjtLHYxjR35FzGq0WmR2VSD9Ql2/2llZU0E12wDt2SZqNDw1xHKo/TI2J79dEaA630f/LsdT50q4jJVl2XZxelCr3e9slX5PeurEulpxbFdHQeA8eSV9HkThRjteJU1az3iBOSUbHluNdnTH/7wuo2ea0S5BQCes9dB1jblurMB//S93H5oghZ3lh+nje9+e1yzuNChfjVX/8/2GjIOb7htvs5vF+uLeNkWGmo+HlG7lM2U0wpr0eOnmJMj3Hhwiu88II0TdjdGjvJ4DuuZf8+mZNcLo8fyO/t7LRTWGtfob2u6xFFSYXRpsKtg8AfVqrSyoDBKHJld3tlG8fE4eC1wtCv57Dy2wkMwYZ9olDOc6IUMZ6grfTfh5dXKSQUgzAm0IqNDR0ud+U+va0u398/PpnClH//uWt80wlBUHnW8qxSode7EZmy0pe35LPjpk2ott1zopS63UZowgDZFLod4KgtNbdb1GtSvbq80aSqqCZl0VKv5Wm25bfe/Ma3Y1TkemmryYUlqZrp48CpUyfS+7ivfiuLq1K5zuYL/P6vixj9U8+Jv7rv7jswWgmyUYzrJFQLmzqXEycFaTjodYhCbdpggxSuXyxV6Cp6Mo6H1XzSKnk0RD+43pCOaMpgFI2rSLIwDCmWpFKWy2bJaCW1udOh12lws8elV1+hVBN05/7pcW4sStX74GSVMbWNgwpT//zaCkWtZBetQ6R4+II1XFR7mqnKd0aqdXyt+v7Os1d47zHxxQ6Wpxbls8vtgFxR7vENX1uqr7YItKq7bYK0qu25LqGTIKPkzbbxKWk1NNfzqSiq7Ppmm2pSZe/rOl7Kck7FUl2cVJC0UsmwpOLlDbXpsalcKk0QRxGuVhcHoaHX02c9qePFTiq6TOzj6P1zPIc4+iMhkLuLugjYUFHNbgxxgmoeCpbHQXfXl7V6HfWxiiA3mQwmEYVO6OmOR1JjNNlaSjGKgya4BYhuBqpLaSZOlD4KxnPRsIDZepVRRR6XcyoufmWbSb13taxHMyvnn7OGG4qKGFOh+Fy5kvqmP3jxGu85KbYU+BFPrYq9Pja3zQfuFjs9uy1ztUqLht6vNj08Rb/nbYbY84enDvTyYUpnLIYR+8flWAsb3bThQT4r9lUq5AiVxlMp5Onq+R6anWV+XqiSWxti16PjE0zNSmxy4sgJ8ooknLt6nc8+LEiuksaSnUZEwnW2sSWr9Md8Ps/5CyLYTE6ICnYXiggL518WGpAxDi8990UA3EyReFVQWiaBkrp53KxcWxhEYLTFfcbHDxXRkRsBhKobBvKsxnFAKu9sEDmBmzYsRCpWnqylGY+mIm3HSwUqVbknIyWZzxvr27gax4yQpZGV+a/gsKiNQSZ0vSmMVFO5kY89f413nRB7MrHluRW5l6utkJL6putdpRO5PQa61jUJU1RU3ssQOgliUY67jU9dn9NKGIHGVbc/+K1ce+JhAB76rr8NwKd+/ef4+m/5WwAEvR7b2nBgfKTA5x4WtsT/9GM/Lte5uEgu2wBgc22d1s4cAKOVGV54QWwvoTY7UZXNdUFKb25uKuISsOEuCqLGMQZsrP7G2pRuuJsGZgEnadKTUPDjGCdBrsYDEvQyZrenU5okFuMksVKwi+Z4EyHwiW8yHr227GlK1QFbDbm3U7UCFW3uNFoW+zh/vcmMrh9TJkc0JXPQaPhs696sWtZ1p1hJUdqffGmOdxyT2DRr4MmFBgAr2wOsLjjLiiocMy26Gm90bYCrMV3BeFhPEXK63O0QMO7IORYHIZPqS9d7PcaVSt/Xda6Qy3BNUViFXC4NjCv5DFfXxK6CNTHSmeliSvf3cED3jcZmaPfl+o4cEvbJ2vIG/kC+L2LsiqYxznBTZnfFUnHC7nFobMk+7sb8EhPjSmG3LfqhnHty7Y7rpoh/DLso/0Oaa6z7OBvHKRrfGGeX1IhJKY03A9hlXIONwUmaOBibxp4jhQJjiqybHdG16MoWRaWrTrl5Nl1tRmNhS5vN1atia8VylZ7GAZ8+e413a6OxsuvwyJw8x+vNAV5efntZKRrrsaGrt6Ad9VMR/prj0tOYqaJT2TIBk0pXzwcxh8aEsXB+a4uyNsGr7RNbq/gWpyr27OQGFEtyTcWRcb7hofcDcHhaULa/9Bt11pblHIuZmILKLsWxw7nnlTKdOAQ/TIHvURDxW78tyFaHgFhtKEHluZl8Gn8dOLSfvKK8z1+ew0YSPzmeh1UYZOTLb3nZbEqZdbxsiiS1UTBsHqa+zcYmBbBGFozu9yw2RVV/pXGTsc17Y2/sjb2xN/bG3tgbe2Nv7I29sTf2xt7YG3tjb/y/M/4/67r4Zx9GNAGsSSus66ubXL8hl/KWu0aYLgo/9vyq6CO4tTwd1S2q5Az7VPNgpdsHrQqs9ySLWysFNFsCQ7j/6CT37B8BwLoOd52QSt12N6ajGcfrV6QCcSiKCRXqEEdh2lI22u7jqMZOVpFdGd9jQ4XXxkanufOhH/mzTYWV6veRUUF2kPyro6gc5MPHT/Ez/0X0KFJuuHExkSCVvFyNblsqamP7J+hpi9so1hbyccih/aKBNhg4FIo5/f0YX/vgVqqzlCoyJ10Vq37p5bNEqjlSKuXZbogI5MhIhe1tyepubcn8tdurzN+Q6zlx6hTzc5cAuP32B3j8MdHuSZp2v64j1WwJ2EUT5saS8KLvPHqYEbWRcytyrk41R6el4reuZVLbeG/EA4qqt7GposyVfEhfRfgfODLJG7TNcddGHD8gr8fGIhr649dvKMLQdlIBesIYR/VxCj1LqCgqm3Dejcu28q2z2ZitHbmX1nGZnhoBwHPl34MHTrGurYLf+JZ3MDYl1aDrG9tpq+2jBwW98r/945/k5//vfw7A4PQZsghy8EMf/Pv8k58SoGZnS3V7xsoUS/J81KrTvPmN0lTh0oXz5NQOE7vCRCnKwdqIjXU5n4X5c4yNS/VhbXsJX5+R6f13AOD7qwwlb2IGqlOCMRDFw9cyOalGhXEcgrYgC3GKKbf89R8WG/taBU2EGrO8fF5++1vfdZCqcstfWZNny6sX2d5S2FMmZlwrORZSZEFThU9HSzFGq2XfcuYgM0W5jlZsOTgtlZzaaJGGVlwWLguSwosG9AaJ8HpMsS7HrXZjClqpTfoeubFhU+1uX81hvSXPaWAcCkU5940NOd+dts+d7xTEa2w8uj25H0999vO8571STfr8Z8VOpqdHGFMtks3gMocOix5fvbHF4pJc30FF9vXrPa7PiV+pT0+zrcLnxD6OarBdeFVQgk7sM1IXtGLJVBjXamSv16WtIvUODkZ9cJRq2PRA1wFiR+wimXhkfvKFkn7HsqMt622wlIpqZkrTGG4iasK44JVxPYNV1E+9PsONDbn2N50uUVHk2ytr4q9KYxX6qhtmMoYJK9eyZQM8RbtsqiizlwtY14YX9xwa4459IwAMDBzaJ3M6Mlako6ieZbWnyA/pqj5SFIXU6mKz5bZNBaYThGUmdlI9ijgT0VYEYKGQI6NV5mVtwZ3PZlJkatsPKChidRCGTE/IdUbqNzxjEmkgYscZIoGy8MRTev16H3HiFI9gvCIJqi+OLCbR9Eu6r3slYhRV5phUg5K4v0uCZIjoQhEqjpfFqO93M15SLMdGUNAqay8Wm45jB6PCxDZoY60ilxwRgI3jm4CesIJAIrakys3WcvVKA4Bb33mQET2ni+vyvHmVHJGikcue4aBqgawFPkVFUPVUB62Sg8WGHOuO/WO86bCguyMD05Ny/e+57xDLWtVd3dYW470eza6sV72dkCNHRwCodSxZtd2uTuagE7PZV9F4z9DVans/tlQUpbeqfrVcDiiqRqsfBoyo/tV73/dBRsbEZ/3Y//rfA+Bm6yypwPJb3vQu5q9fBODLj3+Gs6/I+XZaCfQgM0TdxD18pQcE1uV21UR98fkEuWXT50CWJUU8xBFeTvyUjQYpuidFJVtLFKs2nO1gFJlWLOYZJD011GEfPHyQ1o7EuZsbmynawlonRePsCmte32EAJ4NJHwaXyzfk2Xvo/n2UdK2b21LfWcjSVTX6ogMz6rs2ggHlgqJekqY6kWVN0T13HBrj/sMSk4SOw0FtqjExWqavTmDpksyBFwxoaywfhiETY/LZcjfCU3/Q1efNxIY1fb5LhRxjk2IX//Tv/hA/+qOiwXXtGWE6vO+7/iaf/cjvA3DbPW9jelrWqlcuXuSb3vf1AHzqE/9FziFnGalKbJebmObKFfHXTz/1WZ5+RhBdVs8lJiSTk3P0+z4miU12oUaT9+KoNxSsM/JteW1TKIaNLTGJtu5wxAkSHk+E3/UsUkFp9Qk2sunfjeuktmfjEGsHNw/ZFYNoAStSeP0Gc4URAG49NEJdUVHzTY2VKrmUpTKVy5LdkfPqxQ5OQZHYJDo/EatN2T2c2T/GaRVO6sUxMxMy9yMjRXr628tXxU9no4hOsheKYqYmZU0s90Iyeh/6ici7dVhJEC6eoaUPaseH0ogiDDUu7/dDiTmAdneAo+tgLww5MCHnFultdmKbohJjdzj3Thzy6nnVwWxKEwTPOMQqwG6ypZTFYF4D3RsK0Ce2FMdRiqYZGRlJdcDWuiFBLGvzSEX8Zz6fI1J/3Op00uMJQEyfKyeJuzOYBElmzFAH08kI2vWmDAPWA4YsDmM8Ll2T+//gm2epqz7unMaxTilHsyPPzGjWZUYF/7bDgII2YAoV3hREIa2u2N3pfaMcHlVWCTH71a6mJ6t0dFqWrslv2EGLjvolIss+bYJQ8aMU1RTonGRNho0EdhoO2NiR34txqasGZasp55vLuvQUxfeGe95OS3MXTd/nxRck9v73574shwpbTKiOYGu7i68Ic8exXJ/T6bNJzJRJUfnGuCytSExQH6mlYvRrq9o8JQ6IQrm2dhOu6H7Gcbzh+rdrlcjrWmzjkILGTP3+IEXg27hHbMUGXXeINC2V5fnrdDqpXpcx2a9JNvDPX6LLoCKMzq7AM+biOYFeftfXT5FAyyeUStMa9FO4oTNwKasA4dFiiTmF1tUVajhWreBp0uHgSJGCChTWbz/GU89I8qVYG2HQkwfgwIQmrKoO8wpHrRUzlDRI3yw5eBpwDNSgZ2slDqrQ5lbos0v9+KuMkEZXnNrqxgbf8O6/DMBHv/wfAfBiuPseSTDkCiNcvPACAB//3CfZSro8agA1OjrLWx54CwAXXr1MqPSfhYXLhGGSQEkE4yscPnwagCcef4qJKRG8v3zxVcq6oJeLGQKlgZw+LZ/92B8skM/rZjFyMdqJb2VlkxkVrnbVeZfLYxw7Jg/AqROHUzrS5z/3cQqFpNPeTRjGDCH+ifi+sazNi4OfqBkmFLba6KioKqSdz4gdmprImsxmWdNFoKgB2PhIjUQd894T49Sn5BoLtxzlxccloI7KJfoDOYf9YwItHa85LCzLhmu0kiOri/fSoIXRzfqOLrIztUpK6bje9Wnq+14thzsjiaysznPg5nnvB6QnhHFHOXhUPvv+D34vtx1/BwA//1vCLn7L3XdzcU7oZJsfaTJ3m9Acn3zhJf769/1dAH5642fkvJbnWV+X69zcCFhY/AUA1tcWCQNxjFPa8GB8rMYr50U03GAJIrm/+w8cotmQ63ddQ60mc9VqJN2onF0UxCH8X2D8euuGCpsppcISQ7aavm2MlwZ+r+uwCV0F0kSX4zKni93M+zPMKjVjUxckN5ZuVADZyNDSjcB0JqttKaCiyYOJkRrBQGzt0GSBKYXHH7/9BJ/+ssxnVCzSUSrQvjFZROpVj0tKkx2vZHE0wNkI+4zrRj3UCRyrFphOaFW5LJvamSbOO1xRQeAZpTvO73T50X/yEwD8nR/+u7haYLjn/nczt6o0uQMC7S5mXLaUOre8vsnGioi3Hzt+D8Rynq9q9zEbZ9MkpetEVKqyaQ6DHgNNftbUL7eaDazaQbVWIQjkWOXKCNPTYvsLC3M0t+X6iZLkaC4Nqp1snjhI3h8G/+2mdt7CpDB/8dXyvaCzgZtLxMpv1pDkxLGjhwF48ezZVJx26iGHEQ3EtrRBZDuM6Sdw8Ai6mgCf8nJ0NXCJHaWkl8u4msi4a3+N2Wnx5bOnjvD5x2Wto1zCV4HbqXGxlUrBo7UgG8tKziWjz9mq32c0FX1XOmI5T0594Wbf0tFEVZSBZfWb0yp2v9ELmN+WCynns3R0bfYDy7J2zZs5IJ91HSelyllrwVf/FrkMBvp+IkbvuGnAHQXgeAnUPYNNhOdt0u0vR5xskEQjQY7hFdJOeMQRqCi0UXH0OLApBRECEtx/HLl020mArx2oiNPzsbkyNu1C5In4qv0aIrc/wzDGYM0uqhmGuTld58oZRgpyrRWlOa3bOG1mAC6hdvAddzL4eq2+BrjkSozqNR+ddSmW5D7NHj/Ew2fnAAizebqRdmYc18JjMcdlpcfPTBVw9drn/S7TSpVOxGuPzdRoqaTAYtNnJxGoLho2tABQ1a5T1ivhlKXw0ltf5R0PfSsAW1tNXrkiseLh48cBWJu/ljTX46XzL/J1D0h32Meffpa62h0X1tN5SOLLA0dP02pIzHf7nXfS6Q83VqBhKkrjCYOUPuRkC0SBCqYXC3S12Q1ps4IMGO0YSoibNtDIUKlIPDU5Kc9qbaSGr13X4ijA9ZS6WSzT7t20FBfil0JwvbTgRtRn4ao+p+87wGgSA+uur+i69DXGiiODr8mAyWwuFQ73NfHUMzlKukbffXCEw5qEnz1xkEefEVFnWyrh6zM+o2tdtezQW0qKjC6e+vL10KeabKTU/MerBbL63rb1+O7/6b/8sas8Miv39+rZL/Oe938/AM3mKmjx7v/6Nx/l1z76H+XcrRRy86bALXdLUfC229/AxbMvAPB7H/8kofpbIqUJF+u0O8NuY7ub2CVdF9OOwTBMEJhhrCPPR+Lr4uFr5dU57rArdRxbsAndevf2b3dya/h+SjdzXYzNEZmbEDcBQrm1OHrNURDRVpr6TMVhUjswbaueR2RdOkrjW2NARSld467HVlpkEDsInQyRxlW3zJSY0nXu0OH9PPz8HABBNk8Qy28cGJf5HikZrqyIb6oWvTSJtO4HjGgMlMzGZLVIVv3U0iAip7S44mBARmU86qEUPFe7A7aUqpt3MwT63Pf8iOsqPH5wv+wPM8ZN965hHFJ2kj2tR7Esn+lvN3UGDW5OC3aOJHtAZRpS8lZiG0OqoQNUKxKDLy8tUK8JjTuIXCI9ty2VybE2HhabzdDu4tDHaFIiVrq/s4uib+M4LTZivza62Z9tWI3hzDDJRszivKzdBx5ymdZEV0sBGSEwUD/RiRyMxgRTmSwbuv4nz13kufTVb912sMoR9UuHjh/kE4/L3jxfzhNqEXWqrvT4gsviWgMQimoC0lnu9RnPaZMgndiRYpZSIjXiuSwNxFa8rMvVhvj64ypZsdbp09bPLq8t8Yb7ZQ+3/8BpLl6XGPvKDRGSL+a9tHDdD0JGVdplYzMkTnxJelsiKkqJfPDB9/GHH/8IAIEfsH+fxNVvf0ByDavLC7z4kvxGqxdS0sJefxCmjT9sFJNVanACUHAch6CTULHjIQDBZHbRsXXNdDy6vWECP5EziW1MFPzxxP4fHXvUxb2xN/bG3tgbe2Nv7I29sTf2xt7YG3tjb+yNvfEXYvz5Q3RZq4LThvT0TQa0Sv0TP32eBx4SFMG4VpRq4xWWtGpmYpeExVMMYkY0G7rVlCxtbtYyqVSL5Z0u75odAaB9fo6qloIeO7vAjXXJvD9wWkQyl7faqWDfZi9IhS17vYglRQMcUOqIm4tIirzf+D1/hQuv/AEAp858859wwT6NnrQiHinsp1iUKmW57nFxWSpIbS3nHzl8kF//9V8F4P3f9iEeeUxEMpubSwxaimjTymWjtcjmhlQr8oU8L714UX8vA0YyyI5W32sjozz//IsAZHMuZ18QKOT4xCw1zfrOL6xx1xvuAeDaNUEDvPvr3sXqqlQCzp9/ic0NyeQWCiV6Sle4cV2qc7feeialbLhegca2fG9ycpaVlaU/YV5ep2EZCnumtLeYBLXxz//dOe56h1CuDpakijc+UWNL2+3GOFo9AadvqakQX1PtqXDAUtc0+cp6izeoPQWvzmO0xfxjl7ZYULjnAydlPpc22+n5rHYGjCtwZLScJeiJ8ZR1vjI2oKGUkFZoWVNKh0OGvrarrgZy/Hd9z4fZ1sz4jbWr7JsUZN1tx9/BS3PPA/CtD34AgCjyebPSMa4sr3D0xJ0AXLz0PB21uQ9++wcBuHThAh/5/U/LtQUh62tis5XyOKWSVJ4ScfBz5y+m1cZqJUN9VBA7i0vNtALQ7ToYFY9NqD2voQQ67q722xHD2tqwvfKQrwRedkhNszbahQZ9HYcxOBlpd5tWQp0cRu//P/jJl3jbNwg9Yr+yf/dNj7Oh7Y4jDPmE/tT1qRcTUXi5n5nZkBGFh6/uDHijCpAvv3qdrM7LF1+eZ15t6c2nxDfNr7fS6u/CTp/JMRVpLmbpKOInUccs5FzaWnU2QcRyX1GdpQINpQ3sV1TiRjegoGirf/+bv8mv/vsvAtCzK2y2FDW2KpWeLz/xBQ4fESToxYtnKeelqvrC849iB3Jco9V+14kIYxVzXVtN21lnvEwKkd5pJkLVMQ1FeRw44OIrAmWzsYmXlecyn69CTX2vLhmbW9tYhWnHQTCkvjoZFSQHUJuJ+4h0P4yMjtPQ5hiZfIG8UipaX72o9GcYFggZqY+xtrai5+9hVTj1H//yNd70VlkPTitt/NC+KZq61jkYrF5LrhcQqYBup6GiuOOW/Xrd29s+s+qb1i/Ok9Xn89GX51nYTOxJfFNzvZ1W1Na7PmM5pQ0WPLaUsl1WsypmXXbUnvqhy1qCEPQc2oq8mj4odnrx/BzZvMz5equHm0kg/ZBTOkVe19jIyvUBmJxDpIXBohth/QQ1If7Vhl4qEG48h9hX+Fvc+WN+IBjspNVWGzvDUqCNhyrWrpv6Zlef1zgapHRs7LAVtsFLIfkJatDLV7HqE1wnJldIaEwV/H6XML459UcbRRjXHbZ8N25KU/pffvY8Dzwk9+FwQa5tdmqMhTVBNfZcJ21/nu8MiDWmUYAllWmHWa3+b7YCjuTE7havLaYfeu7qNkvqm+4/Lvdjca0tIsvAwkaPkYoco4BhQ6ke+hTiuRmyitjqrsc01Xf5cURf18RxRVJs+QNyilw7fdcbmd0nlHgnN0q9Kfd/c/0sAKXcUYzSVZZXlzl24jYAThw+zYaK92JeSucxq1SzhRs3sIq2efSRhzEqYZDS8o1N/Ypxh+8bQrxMIvPQJKcU6X438UFgrFa9XUOs61+73SKy6nu1OUOxWGRxUdZaGxkiRam2OvFQxPymDAO4GCczjJuMk6ITf+LfneOed0vl/7ii0acn6iwq5Tk0YBOBdD/CqE12FaF1fDLDQRVF32wMmNXPrl1ewdEmSY+9dH0YN52SmH9hrU3yUG/1I9y8zKmXc9lWVE9O70kh79BWoe/Dd9z7p1ynrFM9XEDimFqtTLJgnr30KP2u2NNkXfxjRMyGxtYf++Qf0FOZjm966Jv4qX/7WQDyhYQeX2Cnpf7IRqkAveNkUyRjivRjSAsT5Ery0u563xvSETWGzWZzKaV1EEdYRT8ZfIZbQLXZKBAosH4CNFCJI0HC3RywKYk9pUh749JsyB7gf/3Zc7z5QfFNRwtyD/ZP11hVir7rZVPEWnEQ4ynCe6B+dN9IhoO6pG81+xw4qP7m2iKxxhPPXdtmqSH36U3HxDctbXQTHXg2ugFeNmkgYmiq/8tr3F3EoaWv+7FhXiVZunFISxtIHNR7vrnRxNcDN7pd8vp8RAYKGrPkUi69JaNreKVeo73ZkN/NRVSVLdP0ZC8SBpH4dAQNmC5txvLHA94h2tMah40tQWh3BiEXXn1FPmGcXcfQ4xpDrM+q4xhiXSuN66ZuwM3oZsUMUXXy+4ldWg4eFH88d/k6r+uwltgPXuOLjDNcr3/8373KPe+S+3tLWVaWqbE6i33xtzsGsrrOVQYxGV2nOxpu7h/3OKjsmJ1mn0NH5VlaubFOwRWbePzVVTaUVvtmXefm1hr0NK+w44fMqj1mcg6b6hMreo7Vgktf7avpGwLdtAduREKgd/R5b/gxXV0rrixu8o0zMq/brTZHDt0in1mWNbxfdtOYOLYObY2ZxkY8rDZwSGSWbBST0UYr/V6bVktsbHrfIc5dkP392XNiJ8YGjI7J83nn6VuYuyb3dGtjBU+bDnQ7TQbamerQUUFSbzd36CkNdOCHaTyXK5QIdW/s6LMcY4dNfWxERqUT/H4ntc2vNP78JboAiCU5kepkuKRdjByHF5+Wm/KBhyRB0e36zJZH5O9RTKgbqp2ez7jSZgZ6U9d22pxUWsymNemmr5jPU1HmwvHxiMUNsZKjMxJ4XF/rsaWQxlI1Q06ntpD3qKihdjWQOWpzvKAB0i/+6q/yHX/5h7/CtWYZKchvLHc22VwW43K8DAcOiXZR4R0CV/zYR3+HN7353QBsbK3w4vMSyLmlAk5WO84MxDkaBkR6DstLl8lqQOAP+hDL/OSLsqjMzBxmYUFgkLl8CavQfdfNMT0tD3IUtXj+OelQ1GonMFeHY8dOyjkWSjz/nOgd7LR2QD7C3ffcrX8vcGNOEndLi9eYmBgB4JVzr1CryeveV5ilP/NI0LfGVW43iENW+p9X5MUnxVEc/xaB9LbbfY6OTejXY0J1Et3OgBFd1AZFTVI1WtwyLfM4H/tEbU24VrOMFv4f9v48XrLrqu+Gv/ucU/OtO089z91qtSRblizLlm3Js7ExNiY2kBDAECAMIQmEQBLCQ8yQMIVAeBLMw2AcJs/zINmyJdmyNXdL6nke73xvVd2a6wz7/WOtc061JEze0P1+HvPW+kN9Vbdu1Tn7rL332mv9fr8lfnZgg8OFJRmQXRvVnxa6+JosyRY9SnrQW133GdPOZfrI2JIpck6DrdVuL4HA5iOflZYsNL2iJCQ+9Oe/zVve9aMAbJ2+jX7ls5u33wrAn33iNwG46/ZXsK5JiNGSz5FD8vzOz3X5H//1FwHYvEXGxDUOWe3W1eu2kqBgbGKCUA94w0rXXV5ZxtNDQXl4irNnxLeMm02orKavE55JNm9Hk1powxcNyIzXxwBPI7H47/pjM2Pkc6LrkukCOaUYku42UZhyJYzl4fslsfsD3y3zolZvs3dSKJ1t38fVRE3bgzHdXANNYixU62xW6uNFv0dFOfbF0QJj6h83zg5xXpPwGybEvy4tthL4e2bIY6Qga95Kp0VRN76iPruNXp4jGvxV2m0KOU3i+l2qgR7IR+RQcfPQGNsOCP15cvvNPHbwEwDcces72CxuzOZh2QA/+dmPccttcp9f+ezneeurvx2Ag6eucO6SUFMdTw4VYRDQD7UP9WCS8bqpFkl8aDQkgf3pUycTWLSXLZJXSPO2bXs4feKEfoZSArxhQn1GYS8EDRYIu2CvpiOWR0aZmd0j33H8Wby8wPz9TgO/2+L6mdCq2+0u2VycRDFYTRDhRzzxpASoO14ve12l1mLHhIxzREBPA4n1dogXR+1ahFmtt7l1Qg/OhKzHnYlGsmzKi28dmA24qFoWGybVnxbatFVvwy16lFW7aaXZoqCyAIW8+M1MJs9RpSguttvoeZXRoSw9NFHbks/fs2OKZ8+KL0Qmw5h2zYrCBo6uCx09sGWNi6dFhTCySeKtGTo4uTixpD7kumBljba+TQ5FUqCIdQPjBHkf3ctG8TYATpDQEY1jE4x/2FX6R9ZN57wNMar5ls8V6frxfhlrxrSZmZECQ6VSTbQLo7BKoVAg6lyvtclgTCah+hrj9p1/Ah59QLr/3fDdNwLQbfps1yJEO+oRVwibRDix3Ih29VyoNbhZKUGrTsBaW7smj5SZLWjCaRpOzwnNZlq7zl5oNROtELJOknBfqnfZPivvGdZkXDY0nNFkey3wyahPFDIZ2l3xwQUtGuA6LM6dB2Bscg9f/qrEJv/sh/4lzpwkr05dkIC8lHVxCxoTNpY5/PRjAMytnOX8gh7E4hyUgTvvehUAD973maTIJZowySjLv9Ym2npeNs/efXLwGB2b4dlD8h1BGNBuN/TvlOYTmoSuZlyXSBPyGzdOEGmyZUk1+erNEKM+fNerX83GzaId9bGP34sNVa7iepnjSFctpVMRdEi6TDoZnnlU5vKN75D77rR9dkzL2tQJfdCkeK/XIvT1EKP+tFJvctOMrLNLEdRamsgcL7KuhbybNwxxYUX3uklJVF6aaxHqjp8vZSgqLajaapNTutmwJgCnvCxPK83qga9/nTf/4N9+qwdueSMf+MCvAPD93/8fk9cPPv51ag112pystWGrS1djwvPnTnDDLkmi/ervvBdc1SjLi0ab6xZwdE8Kw2riZ1HUFckF0jxif7JCuualr8fUKsdJ3xbraVkb4Yd9+6UWMaS+G8s/xEfoVFcOG2JcPWiGHRyndH0KhFhkoU0LzMrN1F8HHHxUxnbXW2SNqdbazIyrzlExi6u6ot1ek6w+/7ZSftdbbcq6dy2FsKxZi3x5iEnd5/bPGs6vqNyCvvfKfFq9yhU9shorrdc6iTRNHB9NeTnm9XBe6fUS/cnZfJ7Hzkl8y6z489hwHr8m77282mBzSV4veGlyKtYlzJNh805N0puAmtLfOjisKp0w0XJzvbRbnenbx66y/oJw7B82WYNd1xC+oJROzAeVMw9AFAQ4Kg9ksUkMHiWJVie5HhuFSUIiCgMuXr7yt1zf39OMkbODIdmv+yYQloiDj8j6v//tUnhtNLtsmRzTu4ywuh93u03yceJZY4pao8W4nueq1rJQk/1mZGaSST0vH9jg8pWaxIWzGoOfazfxdVwKJY+iJjcrax2GdF0qaPJqQ77AaU3SVWodGho/TWXynFdZoUtKQRwqurTWZZ2/uLjCxz/7YQDe/pbv5aGH7wXAjfVAnR6dpsyTrJNJkmVXVroYLW7ZhsbBeKxVJLb81Kc+ldCo5y5fTIqRWZXQ8H1DQ/fdx554gp5q9XomYFLjy0JujLAna/SuHeLPjx88xqTq6/b8kGpNYoNuq57ovTmaNHUIcXXdypeGaGriLexUwFGt3W9iA+riwAY2sIENbGADG9jABjawgQ1sYAMb2MD+Qdi3JqLLmpRuBgLdTaqlAW3tUvCKDZKlfXaxgYm7J/R8soFUeaY8w9asZKRPKDxmTyYLCt8bL3scuiw0lRvGylzWzlvNnoer2cxjZwWh0ev6TGtlO58bwe/Je6NuRCvucqVJ9su9NtvKkhXNdSr8xu9KZ7tf/c+fft6t3veF93PTba8EoNW1GBUbfejr3yBzUGhB+w8I2uCn/skv87O/9h6550NfJquoomee9jE97RhSlO+9487X8fShQwCsLC8k4s8QMjwi6IBxRQbU6yu4mv31e1Uyeu+lUpHz56WLzLbtu3n4q5/X5yHZ2OPHHmV0VL53ZnYmqZobAhyFh06qUOP9X7wvERpfWKwRBjHSyFCrrT5vXK6lOY4lk83R7aQQ8di3gl4P1xEEzMtnRwE4s9LCUQqFE5JU8icylhmFLFwsy73uyntYrWpsGB7l6LJA2mdKWSqKnGlHBlSo7/Q5qYL6HZ9RpboOT47TXpfKZS5ysIoM9OOuZV6XfVohL+SyXNAuRyfm19isdKTxLeIju7ZtZai0ve/uny/0f/sr7gEgWximq8iNl73srSxeFvrUJ/76bCJofvHcGR3DMv0onLteIVXvbsfn0NNC+9ixXdB/nucSKMprfn45gcvmC1k6Wg0wroOrKMsEq2X7qo2YFKJv9P/lD+M3S9XzOe+NIkFc2Osk+IwRoWmTjbtmpcKbNgzBF7+/a4NUdM+s1EEbYYw6Dq5WTsZ9mNTne0HXrmljaGuVarxc4viyVPQm8jkq+pxaoZMgRy4opaXV6lJUKtHO6RmWtTua54PRSrqvdIVVz2fPZvGltu/w1Yvy3os1n1xWEDi3v1rEmndu3kZ5dhsApeIeAsTvAtKN5eunBblw1z3fzqZtQgn66R/fzcc+8j4A/t2//AupFANWxWA9L0+gNIBCwaFRl2to2xwkaInY1xxivxsaKicMxJAAT2llF86fTihPgVZKAz8gV5BKULvb14HRBikCTxEj9coq3bZ28M0YPO14FmAZGpbn2KhpZ8hragbjZGg1GuzdKejdIydOMjw8CsB6bR2r9K037RDk3PmVDui95nqQ82QMCtkeRZ1Pc9qtc3+xgK+Ik9mRYU4rFWSqVGRBxb071sPTNe3cBRHx7rR6jChSYnJqnBUV5HYi8GKkj1bfVk2X7Ur5HvI8Houp7AsNqlWZ65teLIiPyvJFJkbF92560e0cO/mIXM/0OKEn619bOYpdGzGqyNas6yYdqQ5+fY2oI99nFOVo7Uja8SnsYpR6ZsMehZI8v54i80K/Rd+Kg1G0BdBXnQ6SZSamDNnIJpVuMEl8EERph1mT0JIyrK6KPw0PD1GppvSOVqMBYd8+dE3NEoV+yoRy/GRPdhwPq4L+d2gnqblqD1/Rf24nioEgDOUCMooYWBqWMd5TyuHroMyOjHBmWfbvqUKRRaXS1nopSuPEeZEj8Fs+w7r+T8+Ms7Am+2POc2hUleamKJiM43DzcFmvx3BQ6UH7XvIK7OnzAMxfkf3oJTfup6kohRv37ebGFwnt3poMnorcVxV5PrxlOxOjsl67OJS0Ccr7/+oB2msxGkDpRYHlwS9Kpdw4mYR2mC2UefnLRZz3S/d9FlA6q/rHtm27qWvFemZ6M416TZ+IQ0Zpk0PajapaWU6orYRhIqp85coyxpV54Gpjg2ZjPWnWMTd3mcDKZxXyhaST9vUxI75jI1K4m0uKGDGgjQfuVKr7/GqbntKuSyZDRpEjRT/AVadcUhTn3nKOQH1zdmyEsxX1p6ECq0oBqkcGR+Oms+dlbQo7ARMa089MT7K0VpXLCSxG95Sezse643BAxf3HnB7/9l9I98Tf/O/3Pe9urT/H93//zyf/X21J3Lt15z4e+eTHAXALcl23v/g2Ll0Ues/RI4foKq32q19axtF4q62o3Hq9QqiyEoJ6idcKJ1l3gyDuMGau7uIZI9ZtmMRQ/Y0s4vf2ekHSCMPabtJJEdokjZjitcnLplRJ4yYSDI5b6ou9roc9B5FvgySuxrjs3yso05fPyryYWwvp6XMuWIeRIUUVdnqJL13RuGlnKUuk+9zmiRHmFG0zNTxES5FKHZuO99kLEjdF3YAxRXHNzkyysFIFwO9FSfwRxXIAfsCNw+JL45mAry/KOvbUUiXp/VHXWMszURKbZhw3aVDQaAW4ioju6R/5UZf5Kxf17ywFjRW/7dU/za898Xvywa6sZ47xUjmPKEqbRMgg6j9pF7z+342PT+roGxYXF/QZROl0jp+9MSlqrL97eRQlTJ/YBbN5j14sjWGc5BeOl00bsFxzMxjH0/UzRdum7OpMQpO+Y4PMxYXVLqEyUDzfZWgoZTHEQPqlou5z5VzSzXN6ZJhVPa84foduLLDveWQU8XfhvKDHwl6PMY2ZNs5OsbAk/hEENpEIin1xtdVjY1GeaWmsSEX94+mF1SQGX9c9wTNBEvPOXz7H8RHZa7/0wL2sK6ra03gvX3IoqRxExnMZVubaF77Uha7S7j1F0Xc6SSv2qekpKjpnMjZMuq/XFUmGgV4v7hztJWfZyB3i0mJV7qOYZ10RiA987VF5rVBgWVGUYeATxt06jcXJxLT7FFEae4zfqBGqnJMhk6xR38wGiK6BDWxgAxvYwAY2sIENbGADG9jABjawgf2DsG9BRJeFKMTJuGzbvhOApYV5Wm3JOLo5J0k0j09INfYdG2b46LOX9M97CRLmEhFt1XEZHpWq01nf5/SiZCdfs3E84dI+eHIOG8jfTY8VyOXl56cWqgB43YADGwQBtbGcY60tvx8PLD3lirvafrppYFgr0L1Wh6pq6jz+5Md56W3fCcC5s08AMDs1xcap3cndf+IhEY0vDBe58eYXy/fNSjX/3PoFtm8T7Z+1pQusrgoPet+N4zz2FRWb1yLfM4eeTXi3GJvw9j0vS6givlpIotHo0KgL0igM27z0Dql8eRmPULn/J44/k1SjQDK+b/uOf8rigmS03/qWt7Jv3wEAfve//k6COnn8sccB2LRlG4vzwmXvdhuUh2UsQ7+eVJJa16MIYC1R4NON0uq2TIuk7E2oHOnSqGTZv2PzJJ88Mqe/7dJV0dRLJqKp1fix/Ki8FlhWlMf9xpEymaJkqr92apmMjv+myQLDWkV4dlkqvUVr2TUuFYcNQ3nmtUo1HqX+lNMKUZiDbFz9azYY0++YDEu0tSXyM4+Kvtb8mWOUNwk6ZGRsMwVFCGZj0VHg5uk7AOhR4Y4XCzLrFTe+nd957FcBeNkrb+HBL8nDWNUql41IKoHGcXngKw8AsGPntqT9+dparFs3RK0uzzpywqSa2LNtrOpnGAIie7VWgI2CVHcr7OF4ub7fpujO+H9NArugj68fYqyXtNO91maAKOpvbZwKgRrHJeyKLw2NSOX9bZsm+PQxqUZ7JqSjqJsrrmFB9UPyjqxj54OQM6rR8Potk+RLcn9fObNATiu62yaHeHZexvmktqrO2YjdE6JtMVnI0PEV/WcdgtiXYl23kRwrVfnerDGMK+qp1jP8xE//BwAOf/WLAJx48nHe86//n+TevRdAB75it/jSk+cPcfL4IQCOHXmYgypkWRrP0FRhZcMoIGgrR6uGnuMnYvRSMYwr0Dq6oc/IsGqOVVbIKgoybPs0TdyqvE1XNXxcV9vbBz3ajVhINYuNBXgDEv0lbCyD3cHNyL2ND+dYWZZqEo5h+85dMiYHTzzv3q+NGcDh0MGDev0Ok0OCgu11PNrrMg+LI3Ktb9+6gU8eEX8yNqCn/tT0PKJI1vWsVgVP+T1OL8lrb9o6jauD+tUTV3B1/LfMDDOkTRFOqD95UcgNE6MAbBotpAgA2yTUtdBqFTLIufT0NaIg0bxwbZigk0PVfvI7AX5e9N9Onj1HL5J7Kg67uD1ZQyJZHsl7TgJ8sgZ8P9YzzNML4jUiFtCNUkQXBleftXUKdFQfzOpck24FsU6gKxpE8XNIqtpgMnJtccOMKOwQaZXa8xwc9O9Mhowiy3zV7bGEZHV8q7UGVp+L42WIrE2ADNfWDLix6GyMGvESFJqNAkK9v0xJrvdNW6b47DFBnnX9FpEupz3PoxPInM2qKOyxTocLKqr75q3TZItSIf7G6YXElzaNFRgryzO/uKYNb2zITaqPMjuUJwxlnnVtPdE0MRortVxLTjWDwiggr5Xji5fOcc89ok36uY/L9Z49d5Y9N8vetXnLfsbHpQnI3OoKq+tSTX/Fq6T5z/KV47iurHPnzz3Dpz77VwB8x9tewwc/EKN7Yn02EQoHmJicYnhMPjebG8FXf9t340sBOHH0SeI44uLFC5RU2+Qr938mFWl2wdd9vLKW6v05iiJ3XEug6EqTdZJmLXHs5mXyrC1LjFUuF5m7JIi2Qt7Q6Wh1nutkFoybJ0HhuDkw8doZ4iuSz1M0xOs3bOQLx+X5tHs1uuoXHc+lpQ0LsjkZ25OdHhdVPP6tO6YZVnTBwyfnyei6sWmixIj66lkVfM8TsWdc9rqZoSxhJHtnJwoJNT7NquC5n3Ux6mNhJ0ha3S/NP8H0hqvF6U1m41X/P1oUJHOufJpcWVE/G0R8n8gyPyfnjfxQnlpbUAvTm/MsXZL73LRB1vCFxTX8nsyFyMuTwH+MTbQpiRELrpMIzEOKJpXXYshKkCKvolgzqZc20jA2Rb2TTVCmqQWphh9OEscIgeb6HxfdTIyaNUlzKjAce1r2P++N0vDqjZvGue+UzON6s0pPfcLJuDRUKwvVPjrj97iwJnPoTVumKZfExx45u4SnPrh1oshkWebcnHaW8aKQbaPiP+NDGYJI1qa6DRMtWVfXhbZriPQ5RR2fnH7uWDHPmZpcZ7cp31sq5zg3L+iWRieipzFrsezhqhaUr7O26HrEa491LBltfvOBD/45BZ0r7Vb8PFMOg7hD/8xPhNue+06wlrvvFtbQ/3zf+5K/s31NEJ4XX+vPsa9smJ2h3pD4oKMxbq8X4rhu8mc2itFd10uDUr4oCgPZ15y+74nvO/STuMFVlsPd+zdx/0lB5Lc663Tja3YcrK69Vv3yoh9wSRtxvXbzZKKN++T5KvFz2jyRZ0hRT2ercQxu2aJ6XUNFj5Ex8avA1PF0H8tozNQkwERxHNtmVJGLE6UCS9pUbkr3kpxj0RQEzQ6srav4exgSZmP0p6I1I8OQNmsJ/S5XFuRMn83lEyYNejYwmSxeJta+cgmVoRY6Dtkw3puuRoPqAKeIvz7/a7a7uJmS/p/cb6MTpJrL2QyO7QvoEjfTeNLaBEEozRDiM4FPelb/2+1bMNElFkWGc2dFvNxxDE5CWXLJuOIYP/snIsb+6z96J7umJZEVOkVOXtbNNohY0s3P6aiTNYPkAGn8DqfUATqeR3FIYYPtDoGrnb7K4liFIjS0o9SV9RY9ndReGJJtK2S6mwbK6yWFzBqHOzfLAnr08NNJomvHTkkKVeuTvP/PJMHwg+/5Rd7w6tcD8Pn7PkshJw53/PhpAF73otdy0/5b5TuCGvfe91EAHv/qaUZGhY6Yy4kjN+tNNmySBNl6rUy3I5txLptNurL4ChHftGmK9ZqM6fLKBR5//MsATE/vZkg3h06nilEl2YLSIzNuRG1dPvcP//B97N0n4n8HDtzI8WNCZ4uDu1ptlbxSCmwnZL0ik7AwVGZ6Sq7zwnrcGfJamkWaGzhJty2cvvYyEtkC8C//58MA/N5Pv4Ed0yqcbQJOXxGx+l4UUdHJ7Wnnr3qrR1E7vjm9DueUThAEltKojGkvsJRHZCqO+UpjiKClgd7FyjotPz6UG8JmLAap9C7rsl6UQ1SQMezURNdcs826LlDrNRUdL+f48if/CIDv+We/iqOZzxYhxaS/lVg9qnHXzd+V/P8bXvdmAD7wvt9gdFTu31Xo+9LCWiJ+aoDR0VEA1taqyUGl2ZRTahBaymPy+263S6AUkzDycFXcM+w1pKMTKWXIGEOkwZvjZlPIqnESIcyEXnTVhpwuuMYYoRdyPcwAHsYJ+1nVSQLVBp2EDvcTfyCJxz/6uTeyI16bTMhpXZv8yBKjvsf0ILTc62G0w53b63CuKQFFzkJen3mz02V4SEV3Q3meThjS0u6JFytN6rp5Y6DdkNfjbnbrJiCriaPz1Q6jeqDasWUztfUqABtnZD6+9FXv+ltH4ujCkwB86KMfBOCXf/I3+czlYwAM5XPs2yUHhfb6YdyMHHRtHNhGEa5CqI071Bdw9QduMaUiQ12FMK0J6Shc25iAbtwSLiIJekINIMBNElrWb10dwKl3ONmY7pGnrY1Gust1rCbAHDfH8aNP/61j8Pc3KeoQ+sQq3Vu27qLdiQXUXYx2G/7pP5HCyB/+xGvZOh4HUXnOLUiQ3YkskWYqIvWnlbaPl1ff7LY405S9zg8l4QlQqTcp6bIwGsraZIOQuiY15qttVvXvyq6hXo99Mg7eeoRKXVzzQzarnzZMkBxOaqtxF8scpbysV89UGmQy2h32UkReD7QFDU4dYxLB+8D3kwRbZ60rmX9ICxc2SJNxrpckUXudOiZOlsftOI1DLFBvrUsijmyDlCqdKSSUqSgpvniJDwWBIZONqQU9er14TYp92sOPUopJ1NbsnfFwC8XkTHptzSY0M6NJHRv1sGGcRPGSs8wvvF/m7u/8+GvYOiUxTz10OHlF1qb1oJecvYf1PuqdiFZWCy/tNue1CQKRwdPkVq/rMzEizz8TT81ewHJb5q9Xz1HTTosFz6Vekzf58TMwkI0TXVmXTSWZnydWr7BTE87/7uclGf+Hf/z7rK+el++1TQ49K3SJ6antPPbYA/IZ3SoAx08d4eUvebV8b3aErz4kv//KV5YgihOa8YE/Q1mpw9YaaiqTkc9FLC9Kkml5SYWWrU0prH6YdMcyxmD0deN6iRB7moA0CXVRepPofu+vURiStTKvB53KyjmGR6QouLy4jqfUp2ZzDTd7dXLmmpqKPotkSFwgjFIB9CDA06LDL//lIQB++0dfzcZxue7QZDh2UeZ92O3RU4cqaUyz2unh6F6XjXpc0iqnG0kHRfm7LuPaqCXvi18FPZ9FTVjl60XWNCbPG5d13SdKcTfCIKJXEB+qErJFP/fP//T3+bn/8IHn3fL8RZkXKz7kdd18xYFX89FPiwB0ZVWKnyeOPkVbaTojpTFWa5L0WpkPiBsenTgq8W+mMJb4lmMNkf4sPqCLS/+B3aT7VJI46IsxwKQFPvcF/s6mhTcbBfQrQcj3OsnB1bghaYOmTNJh9PqYiKOHvt/3/+k+l8nInvbbn5Ux/qXvHmd2TJ6dPz7BiUuyNplej5YmDHLaXGWl4ycUQ8/vckn3Ty+ErFLErB+wYUIp700tvHZ6rOs+t1LvUNGCd8Z1qeqeZ/UInfctgUrFVInYrL5ft9mkc2P8GCutDvsUFHFkscr4mHzvwlKT8pSeJ7W45zgQxIFgYZj87gABAABJREFUBiIrPrw679PWBg1J/cXNJUkNiX/7/SMe574Hrq95jsMXv/B5fdUmCTsp7qQ/PueH9LOBee2y3n9BxjhJ0tVGUSKPE3ZbzylSX0MzRhLAxoN4b3PdNIZ0UkrvL/y5SCP8/o+/kRml64cTLicuynnO9nwC3YwLgVzv6rpP11NKYK/Hkh8nRR0cBcVEPsyMyef565oHCMJEGqdSbyfxk+cYWrpGFbVLqOn6SRFwsdtlVufzlWyWmhYdYwprJl9ku6/FKDuMtXLtq8stytPawT3uuNr1aa1pUc2JyHqyFnfXXYx+t02kDFxCPSesrK4ma1EuO5I0T0kbRzjJmhMF3SSRLjF8nKiK0nUpTm6ZiChe455HP4yTrX1dO2O/sml3UdwcBH/3ujSgLg5sYAMb2MAGNrCBDWxgAxvYwAY2sIEN7B+EfQsiugxJj/KYERE5xBlA40c0etquWQXmHz96kbv2C6Lp8mIdR6HLmUyWA1tFjHapIRSG2bEhDmul6b5cjt0zUkGrVJocvSCvX1ips3dSUBjFIcmatlpdclpNu3Clyo0Kec15RbKaFV70tApQsixoJngol03g6J/83If5x//0p+XaHMn4015lxz4RYpyrVtmoSBmD4abZmwHYP5tC3k+ekqrTU088xhNHtNI+NI3RRz0yIvc7Nj7Dwrwg4vyggePGWd+QDRuk/acXC8I5BfbuF1h24WKZ+Svyd2srZ2m1pOLbbnewmuH1tQLx5FOHmZgQKkrP93nmGaEr7d+/n7PnREg/CCUzba0Iq4KIKsb53YybYWn5eorRG8lAG/pahUeCpADJIuvFBNpK/uGjV3jzi6Q9/NxCFye52Az71J/mFcm2YaLMvPrWvbUeezeK6GO4XOPZecm+X1ptcmBS4faayTdhkMCj15o99qnQZeCHdFtyHQ2lzazZHitVhT/jUVSY7c0TZb5wqirfp/RWL2wRd69/5ugR1tYFTfC6O1+bjMinv/YXAHz1y5/mu975fQA8evAoT52QzHmjWefc6ViwUj6sUB6l15Ps/KbNG+h2ZQ6uLC0RT9ReVykDQZQgs2wIL32ZiPhWKhXOqUix4+UTekZC83C8tB22cZLPtWGQlsv0eqIgxE0EDZ0XrGheczOA42DiZhmAcTPYSOenk1ZbW00Zqy8+doZvf5nQXxaXusmC3Mm6vHi7rFnnVIh3qJjjyJz4zBfzBXbMiM90ah0uLMpzvLTS4Cb1pWn9sNCBnjrxWqPFTcOyNkUYqlpQWfSlUtixUYIYnM2XGFdqUnt1hdfe9T3PueGzf+tQ3DgrFIMb9giq9tjSs4yUpMo1fMPL+KtfFR/DRklFsl9UMn6ttt5OiooJahehG8r7en2Q+CwmVszGIQriVskhrvpN2I2rowVMLNDbrZCWLl1i9FTUrqSvqYinNXmGR2VP6HbrBDG9JO1Efg3NEVolLeKa1PlzZ5KfneJ4Uj2rKy3+6StXuH2TrEHVqiUTV+/zGV60WRsgqHj8+HCepy/JnvYJz2OPIgub9TZzKhp/ebXJgTF5fbMKttbpEOh4Vustbi+LP60HITS0yqy/b0YhdaVuD7tZOjq2E9bl6Lx8t6vVz52TeVa0tbcXFZmdlAYaYXia7/nOHwDgj//ydwGZ/r5WtHuBz8FnY/HuDG5uVK4h5gBaD5OJq8lVeoo2cvMjhBorOArTtzZMaJcyzKlfuEobwckp2gswisaKUvSXcSBCYf+GxJkdXdujsJOgqhzXw5Rl/getVaFxxvSla2xC3zQJVVJfTf6NqVBNFaV//PQC9+yXfSNYsBR1dYoKOXbNSnwyr23OS4Uc51Zlnbp/JGDDiKDUq9U2TZVmWKy22TEkVeQprejXbZRQNS9X1nmx0vXXwwBH44ie0lI7XsSRVZmTQ06OQNe0YWMYKslaeejg1wHIhC3aOtfrlRa33irr0Uc++XFmRkTy4s8+/X4ANm3YzOK8rGWvvPvb+PCDEpt43oP42o7dxpRpoFqVNdgYF4vQBr3sEK7GcaWSjE2rtc7efRKjOabD5Svy3qCRJwrEbwzS4AJShLa1EY7uZ4XiDF0/RnB3aHdUrDqQMc1nXVqKNNm9/xZOKlJ+994bOXs+Xr+ukxlPkPDxnoxN0deZYtKEoaVj+NVTV3jNHol/lhY7DClqt1HM8aJNQuWbr0usNDaS4dSVKgCfr/TYroL2zVqX+RXxuW+stdgzInHRtCLB62EqoD1fqXGrUoRqWQ+nK9cRy200bMhKXcfR9ZKGLEsnDz//XjvH6WmTpanxLRQVpfrk8ae4eafQ8z91358BsP+Gm3nzd0vDlq8+/gif/LNP6HhBMS97RxSLjvtBsk5FUZg2t7B+0sQm5V2ZBG1lbZjSDk1KTxJKWupH8msnQbgrrll+7msekDba8Ili8XsnlyJhiZJruz4WIQuu7fv/+JwXUa/JnCtVxQ8ePHqe194kc355KaCo1++X8uyekPcsa9w9WcxxckH2s8+tdRIE/fp6l/qSrk21Drs1xh5TqlhoDDZuXNDqcoM+85rnku3FQYv80yFiSZuVDeWzCQ18OnLJKtW5qnvbtoki55XJ0mr4CQrdcWHtklzzll2yDjrWIa/zpN31efheEab/47/8HD/2w/8CEFRoPE5XURJjM8+lIQLWJrTdwHG546Xiw+v1JjVtlNHptPpoaS/0uc9Fd10tdB/6vT5mg8XRWNJ4Xp+0xzU2G2HDDsbJ9rEt+2P+LEaRgn4gz+Wrp+e4e6+sP4sLIQUdz6hcZEZRURVldo0XchzR/MCX1zsc2Cb7Y7PSpF6RZ/f4yjI74iYXBdnvWn6XTMxs6YTcMBw3fMqw5Itv5hRx38VyWButTJYK1JXxMuO6HNM9dk6v/cCWcRa0GcHqcoViQc7uxi5TnxO/Gtug4vrWkNF5srhuefIRnfOBR6JLEFP03SyONpeamtmM35HrqTTDPkR4jMxKUaCOl03G2loSVo4N0wZgybpl03VHzmd9PqafHSkrw8kWUvkJYzCenu1shI0plN+EwThAdA1sYAMb2MAGNrCBDWxgAxvYwAY2sIEN7B+EfQsiungO51h/ThAivUTwe8fOUQByxuPzTwpPfmK4QE554DdPjfLgSRHuHRnWam29zh6tRrpehlVtge4Ghr0lydL6rYBLKn65U4Xr8q5LQ3VcpktDLGgV27qwaUgyjlXlm3o49BQJkMs6HD8rGfTJ4WF+8IdEIPWH3/UeAM6eOsLWA5Jtz+Ycnj4nFbsbD+xLbt/t01Y6/KxUI0M3y/i4CsWfXGfnLhWp14ro297+7Zw4Lvf5yCP3y4UCXjbLxISi3JakijI5kWP3LqmCdjp+UmE9f+ZZwoagrYbKY6xrpdNX4ZJuL2RV2zs3G1V27hJR/a9/7Su06vIZu/dI1b7bbeNoxejC+XNJJrher13ftsaKwsHaq3nCqlOG44BysnduF3TauOtw7xMipj45UsTT537b5DBfOyH+NKo6R26nwd5ZQdjkcxlW1W8yuBwoa3WvbTm9KtWAbRPyTDwH1hR5MDk8wkpDRbRNRF5bvs/X5XvDwCYCigXXEioioRA5aD8Gyr4898ZyyLYNOwCYm7+Mb+Rz/+beP+OfvumHAbjhRkEQPvvMExRzUv168xtfxVNP/zUAi3PLeIpwGR+Tika11kieU6mYT1oiYxyiSOZCVzUTMpkikYo8G8fw+BPSkGDjpg3YWMfELWFD+buYr06UVhWF/6+VMOOkIAitBDiuIYHiGfo0mK4joqvfkus0SSXLRg5G4X979gpCcqqc496Dc/pznkCRgC+ZHOEBXZvGVWh8sV5njyIicvkcTdUtyWPYp2iTqOhzRhFgMyOx+CNUVBh409gIq4oAaBMRN6GIGyM0sz4Z9aVKz8fTKkmOkC9/WbTdXvvaH5UXQ58+bdwXtO95o6xjT577Kq+69R0AHDr7VV6norJfu/cRjAqmB36s8Wb6QC090TYDrJdPdB4SlJ9xsdo8wzhd0HVDdCZisV4SXaYoG+uT5bCBtkfGIS0HtUn1+eI27IBq5G3YNpFo4lQqsFppcv0sIgri6+nTKki0N0Lcgtzvvl3aHrwBX3xG0JYzwwVaFdlbbpgocf9R8bPRUanINes1tmllcXi4kOgjedawXYVuO/lu4k8bR2QxKeBwUXWVdk2Ms65IifUgwGiTljXVF/RBFjPAZBxiMFHRuMyMyXfsGpVryBtDXu+t1emxXBPNIyfX5atPflHvWTX6jEtPNSRDDNMz8h2LzSLx84uCFGEVa0yYTCnRpYpsWkUUUW2IerVEt8tGESYTh0hps5LQ7+I4sX5MLMzqJftE2IswjoxZpx0myEHT1/DDhuI3+fxQUpFvhSNgLGH775hU/4dmHBfrd9PlL+xDdtlU53DPDqkKlx2XB57VNaiYwWnJ3rV7NM9jp6WqXRySZ1ivtpnSuKvdi6jU5bPDIGJCx63tOVyui99MKToib1zmtZHQrukJVlWvpG0DrPrNioobd6MwaV3uuC5GEVsjuQL33it705AiF6Juh2XVSWo06iyvi4bMhk1jPPm0oN49XeeazXVe/7p3AnD0+HFu3DIKwNcCl2IxFuRV7cyhEUJF4KytLFJSNGOv2yWI/VGF+sdGi8zNCfo98ttkVB817C0lwrtRSIp0iPulWEu8dnV7QYJMdbw8joq9RyLeRb1VS5aryso8jqKrdu05wPmzn5Dv43qYkRjN0If0sX1Shxar++/2nRI3DYeGB56WtWlyqIDR+GZ3OcdjGjflVc+tWm0yrf7kZjKsVWVM/cAyo9OjnTFc0hb306oVO5TxmG+Jj+0dG6aq61ArjHBUg2upobq7RFgvRqC5eLrpjHge/+23ZI+744Bo5R44cAvtqnzu6OROjp+WOPzMmZOcOH8IgIuXJOa586Uv44GHHwQgtJa77xTd3E+deIIoK+tGFMX6o0YQ4KDoqbjpgdeH6EqRW/F+LSyQGLnl9MXINkGvm2SiR/SjJRLUT59uToymttYme6XEw/o6VwvhX1sTbdMU1YX+K999x8vv5qYXvwiAQ8dEH3jI8/jSM6LjO1HMYRRxs2ukyCPnJNb1VM+oXqszo1pclY5PrN7tOg4bNLbseA6XdG0aK6n+EYY11VLaMTOUxNU9PyKrCMJF1erqRhFBvM9lDTkdqzGyvOwmibdRpFTBg9F8jEgxDKtGl+ulR5D4cTqeoaNzPTQRr3qnsB9mcrclcz1KkC5OX2hr+xoNpL7Sr7llY/Ql8Fcf/hu5tkJRkFyILxgbI7R13TWpthc2neP9mrgxCkeQW7Evhcm+a8MIMtfLlwArSDwnSW9ECeIoisKEvbRL2TfFwPLlp0VXcapUxGnL9e8cLfHomSpAohG6ttJioyL/fM9wYUmeqQNsUM2rTiFiQfex8bzcZ9E6rOqeuGvzMF2NJxudIBHsP91QbcGcQ6S+5GYNpXiNMoZJPerv1zNlEZ+NI6MAbNs6hI+cx8cnC3QUER3qeb1YztJUVGHWDZjaIH63dD7bx5BQlBYQ9OQeKrUqvj7T4XKBqgrsx4ybKGji6L0bN9MnGpd+nuO6ot8lb9J/XAz6vYkWF0R+B0dRjLFOrkCfUx3C+Ghn/R4mo8yMb7LRfQsmuqzcke2b1GFEuhl4WBXC/WffJ51TJmvrfOhxScKs99q4moh5V36ch3W+bVJhwztGijy+Is576uIy775lKwAfOXiBN+8RqGzecdmq4uFNPXCZbkRRBeJwLQ1dGEwYcEGTG019TvV6h6xuuqtBgK+nyZbf4tU7XgLAI/eLkDxDU+zVNbHdWuNFO25+3oicXhV60O6JHfyjd/0QAL/+Gz/L2ZO6EALf8R1vB+CjH/0kAIcPH+PgU5JgcN0MoQZTGzZsJ9DuQaOjcqBrNps88YR8h+/7rCvdzcvkCbTDyXpljfFxWTjKw0rfW1ziJbfJM7jUabG0KMFMZa3Cps0aTCuNatfUDi5dkmQk1pLJyvj2um2Kqobcqj3v1q+BGYxrBD4eq0aqMKZeTDKp3vxaoSvePjLKJw/KwnhxtUJGD1G3FjN8QyG5U0PiT2/cOs4xpXc8eW6Vd98iCY4PPnmet+0TsdiccdiuXfhasVBfJ6Ssh80g8mnoYujYkHVdRNeUElD3Q1wVP65al4wGngGWe2aVKqmfWyXLhcuSpCuEB/nXP/re543InnHxwbz7lyyosO7auTYP3ifB3S0vvplHvy4/NxQe7jiStAVotVpkMhm9dosJ481QExpBkIjV12oN4uBmYW4xhVgbv0+8UF9yHNJAyCYLqjUGN4Zv9z+3527uye+vDzUo+bLn5tFiWK9bwEaySfzcP385AOOry3zk8fMAtHud5CB/c97ha3r7s8PiBzcUCjyra8lTFxf5zhvFfz5zcpHX7RTodc44bFHfa0SxoHHArM6hHiFLMZUqCuioeHhV4dHNaoibEf8aKZRpe0rXmN7IS3dI0N85IeK7+X1/uxj9c+22Ha/i6KXHAKi3A/7bb/0xAFHYTsRPTZywd9L5J8GadmV0is8L4m0U4nij8rOFsLeu700PCtaGCS0o5Rl3MG4u+Yz0hNY3921VX8sAMqZzly+zuCDrGF7wfPj+tTSrYvRYIKbhRqTUylWc7CgA3/t2OUwdCJp84snzAFz0uxgN6l5a8HhMg6eNw7LW7CkWeboi/vj02WW+S9emjxy6mPqT4zCmhZq6jmcYBMxow5FeGLGsC2TBIWlYudqID5hhstfVbZiwnCJjecWU0vN1Sq9FEV5WnsmrX76DB74hCYnycAk3kODSNbEIfJRSWt0cS0pNMW6ADWLaYBwTWBJpA6Ik8UbUw3gF/bx1fS1MAjFsKEE5kmSIfUgEe+PAX4NJ6ycNFBwv7ZzoOC6hJuytJvyJDFu3bQNgZa1GVxM2FkPUraVNUa6lWSvJYdfri5v6qFCRxdGOXz/6vbL+T9VqfPGwHCbne13iEX9bMctBXW43aoFwb3mIZ1YkuXfiSoVvu0GSG/edXeYuPVBkGg4jKuLdCmMaWci4CoI3ej0qem1uFOFo4mFeizxdE+FqIrVRD/GUCpLxcmzQmxodkwPAjm//Hj72hS8AcPb0kxw7Lo1sXvOaV/H93/MTABzU5OlQYYxsLKQf1llryT5/04tu49DDIli874AUf255yV1Ul2X/PHXqPF2NfxzjMVSW715aOA/ArS+5nUuXZf9cmjtLdU2SPMWhYbodTd6HfnpITA4IFhvGvuZilFKXz/YIrXyHNvhkZDSk3pQ5fOXKSbbvkviw3VrF03X8ejSrVr6cUEeSToF9e6txkjnwnne/GIANtSr3HZa1c6FWTxaLt5TLHNQHv1WLOttKDseU3nX4wgrvfJGsTZ86dJlXb5d1wwWmVQC6rQcq11rGtOPnetenrhRBgoBuTyVEmjIurSjE05il5gR4uhD1opDtDUmMHn5QKK0f/fBfc8drvg2Ap0+f5ZV3y8/ZzDDlkqyVhw5Jw4N8doipSfH5sxfP8eUvyTpmshG7d+4H4PJlKTqsra6SzWmsZKPkwTqZQpr5jJMN1mLixbJPuuH5nRP7E1xog4B4LTRJQrv/PVclwmJ3DCNc7dBLFOhh9HrEThZJx1qSyplJqeCPPfIIRumE3//dNwEws1bhC0dkbVoKmhjkmb51aIgnq3Kvu5UGPZuDI9opb67SYK/ubV87s8KGrfJzxjGoK9DUxFIOGNOEfDcIqOo4+66l11aaqxYbe8Zi4nqscZJhymTzvHRYCtoNLVAvBS6lniTjpsebLGvXaS/r4CslsrRVxj0KbfKEvEyOJx/XJl32IXZskzkxtyC+2mr3Enq8jOoLyXX0xcT6oPvpjrPTU5w5u568Hp8l/FgeAif1SyzJJI9CrFJek2tw0mSWcby+4iSESTfja2zGaMYwIHL66Lp9bh7nB37ge+VsOlupcP8RGcOF6jpEcm1vLA7xpO5zuxSAMOqFHFuTfe7ZC2u8+zbZx+9/dp6NKjXiGRjVjp8djW193086MXa7XSo6hF0nItDn0NWmJOt+kGRmHNdNumHXWz47dW0ra9KoFrpklCY5O9nkiafFr/ywm/jShi3F5N7bmvzyvALzZzRmIkxjFzdNwE5NiN+urneSRHqtnp5RrI6TBdImGWFf0t30VW+cJK5Km4jFVEcFAWhca8gSamLNzWmTgG4rKQjaMJCCHUB/Yu2b2IC6OLCBDWxgAxvYwAY2sIENbGADG9jABjawfxD2LYjoiqsT9ioYZlKGMCSib7/62yJM+m/euYdRzcy3eiEbtUJ9pFKhoBDUAxOjAJTzllJNsqa7x1xOzguM6F/cuYPxsry+b6zIxUoMi9d22CWHjlJv/HbEhFIelpq+UISAjGYvs5GBhMIRck4pAWvNgFumhQq2cEaE28PqOl/45P+S+7n73S84Irsnbkl+3rlNKIZ7du7hvo8Jii2TLfHXf/0hACamJet8Ze4MoQqiep7Hho03AFCr1XAVSl+tyN9v2bwlQVBMTU2zMHcCgMBf60M0hAkcs7MitIbXvf4d7NgpdMUwggvnTgGwees21tbkPdt3bgcgsoaXvexOAC5euJBAJcEwOibVseuD6ALwBFppVTTcGIxm/W3kE7dY/pMPSFV46t03UdTyT9uHWa3UHFxepqjohZtnRgEolxzyHfn7XSN5Ti/ITfyrO3cyqf50YLTIsUUZ67pWr1uOTaq2OQyTefmMC5UmzSCGv8vYu5EFFRAe8uBEXSoO6+s+Wc2o7xiVrH+m4GBXpSJ9rNLjf31K6Gjf8ZbvZcSTqsVS7zwAt7/09Uwr9/H+D3+IxStSkT5/4mJCV2jFbeStwVXKz/LyCnEFqZjPYR2pQutUY+eu7Zw/Iz6UyRhCFULMeJaOVsqIukmrcseNGxb0iZVai6Min1ejaqLn/EtazELQO6ZP1Pxam9Gqdlqlt0lVw1qbUJ1+9pcFTfAf372PIYWxd/yQDXn5/eFqg3GlSu9Vyth4LmK0S/JZhy9J9eZHb91CTv1jz0iBs6uyNrW1cu3kXfxAEVIBbFOR/qNLTSpKV7MJQqWvSmfbrOTkPlYuV1moi4/2ajJP+tjT/1u2vi4XP7+wTmM1nms59uwW1OzyolapGs2kiu0YC1mp4BvjptXmpJrtEHTX9BsiUJ+w9FJh3zCbin9rA4co8sholThyXIJ4vYnawHPbFbsk1XMnR6jrnJuBnCKQWlwHM47AsrN5bDte/ELibdvLeDih3OOv/+7DAPza9+wlp7SAdjdkRveho9U6JfWtHSOy7oxnYUNXKRZuh7Pz4jc/cutmRkuK1BkucHlFquHrSvkpDGUw8ZyNDDt13h+vVKiqLEAmvsYoTIYzY0LOKa2o3vAZ0n1mz4T4eTFrUOYSI1u3sm1Z9ognvvEEHQQ52lH6c8F1KWsjmPV2j3Al5npEGEW3OkmDCptWE8NI4PWAJUgqmFEQtx93Esq0CDAX9ffdlDZrbYK6soq0deNKKILCiZTmYhNEHmQUfReGLS5cEqRPLl9IqAv4DZxMhii8DihBY5RWEGKTdtwmqYYaB0LdV37xd74EwC9/14spKUq9G1rGTOxL6wzlZOy3Ke102IPJkuwfI16XyyvyvN514wyTZXnP/tEiF5bEx+raSMDNOwkV0FjYofPpeLVCJfYlRQYENkz2OdePWFRqhd/oMDYj8+MNb/kOAHbdehsHbnkpAF8/cowVXXs+9alPcubKMQAqeo3/5Lt/AmVPMzOzj+Wn5X8unbiA1WfRU3ru4twcCwuyD7baTXKKPJ+/conLl04DkNXXVpYvMzsrVfHleZ/xyQ36WW1aKhVhom5KAYkRD24mRfVF6xij6MnA9qEC5Z+QYcbHZP5U19aYuyRUyW/7tm+jUZexfvJhlRG4phajcPr3ZFIqHJZI29O/97/J2vQL376LgiIdekHEZFZ860S1lqDBN+jaNJK1DHfk5xnPcHyuCsD3vGiGKfWnF02UeWpOqDpdRbkX8x6eIoEyxrBVr+fZ2nriTwkNiyBBaRbckEtK2QoCD3dV1ry4QcdIKeTQQ/fK977xXUxPynPN5rL84D//RwDs3ysyHI7NsXv7dgDKY5sYMcKGKIzAyIh83jOHngLAzRTodWK5BjdZY6Kw2wee6kPjvCAbrU+4naiPspgibxIUl414YRRyH4K67+uSRi/W6rVdRwQzJpEviaKUKo4xHDooY1jpCIr9PS8vM17QRjl+RFmRy6cqdcq6hmzU+HosEzHSkp9zOMxr/PLOG6YZ0X1u60iO00pDoyuTy8u5RPE5IDBs1AD2SKPOij6zGHsbRiFG92I6Pmd1n5scLfF93yOSIJ//y/8BwLh1yDriP0cuL5KNkT7NHuVJvae2nhkNFBW1WK936WnTKZ8a1bU4ZoljEy9BVxrHTYXgiV4AiGevorvGflmvVRPmheMYfEXfOG5fqiBBvxtSYrRNqGXGfX5awVqbIL1snwRJ+NxQ6+9tRij6YZigH4U+qSikwE/i21/5r0Iv/tm37qKsY9zxHcr6SWcqVYZ0jZpVPxnOBCzqGWWmDOc0P/BPbtmcIN+3jWQ5OS+xudUGZqVSlpae18LIsEFjzyOrDSoqfdPS5xHaEE/XrbDpc0FRw9Wan9DjZyfkHD+WzdPWpkmVSoNtu7YDcOLIscSXWtogyMFlqKgUzPUeJm6wYh3Crkaw+mjdTIHliqKOIz955ibyknNZQku1USo0b1NK41VnMKKEuhpoo7Ls0FSK8sMhCtOYKaYuJnG36yTUR0OEiWMmx72qidXfZt+CiS6lc/R3AIki0CCMyCZUmNvvlKTPW2/ZyeOfkcP9ar3FmNJQGpkSBX0onz8keiC37ZlhbEQTPesh+2ZV5CgTUVW4XMdYJjcJND+rGii9XodaRxa3tZafQF7brsVRTGtP+bE2Y1nSg5WNLDvHdOPekOGrD31GvkM7n633OphFgav+6n/6fn7p//rLbzo6JYVB3//F44kGRS6bw2qy5spFGYcwrCWdL8IwYGVJaIPWWjZuVv2gadlURsfGkqTKlcvn2b5DEmuloUnOn5PgztKi05bA8WUvF1j36upKcg3/4Rf+DesNuf9//a9+ijtffjfQdxihR21dArN3vutd/K8//1MAhkcnWFPY8fUxSZzasG9jpY8Ka0PiIOLFrxDY+Ztu2sqRLwocfa3eYlqTF92RIiN60P7SIQk4vZdtY0zh+KtrDTYrRTGyAau6GYYRTMxKMq+7KIc7AsO60n9Wmz3GlfPTcSyLLXk9G+cCXcOy+tNS17JFOeTdTMCCHk7XVKOpmM2yrt0RS5krfFW1JEbHpnjbq74TgCvnZS5snN3C7o0CFT97/iNpIG7jcUsXOxsFRKHMhXzWZdtOobnlc1lCDRbaTfGPqalZekojWKkcwlMOujUOxo0XuxYZPQiHURzw9MVoxqQ8qRc05+qALj7QGed/C+r6f2pWx6afTpD+ZFUXCO56tYzr6/ZPc3hODk6r9SbTqpnkF3KMqqbPg0fkoHLj7imKRRmL1UbErPpVy/o4mnhYDyOmtMPm0oocAjwbsbAuftBuR9QzuvHlHJrrcj2OHgKcrKGmB5TldpedmugMusv8l9/4JQDe+0u/8b89Hk+e/pr8+9RBfvTd0iXot//bzzA8LJTa9eo6mzdLxmx4RK7x4MGnk2cbWSdZ2/t1IOLxDbo1sDLnvIxNtL0MOaL4ObtZbKLnpNTgTJZeu036gfHcl850YjENwEk2Vi/j4GtCIGx0CQrXkwYLsjZZyOg+5NeIg8vAD5OixK0vlUPWq/fMcmxe6EHr7SabtZtg0/Uo6Dz84jPnAbhj70ZGNMjudC2bR+NOgELrAahFERObxZ+yq1UAeqFPtSo+Uu2FlLIaoDmGakfnb9zd0sCKJiSCMGJKNZ0mMxlWdT9c1mT5aC5PrEEzvn6OjAbOGzePMaq0sJ7qXPSsJdTvOn50nYQTaaKk25vVSoEE3jr/XVLtPyeXrBGJRkVocfSgZMNeEoilgZfs2STd0eT10A+Ic11h0EebJtXB6XWlAFEoFum0ZU/rtDpkirL2e7kS2AC/dz0Ok1ogNFHaodbzUsqBiUCpHve8Wtbu1+zbwNmHZD+q1BoUdO2puxkcnSNfPSpr04GtUxQ0qdpuR8yqZpLFUlGNrV5gGdGuw3ZJgvOIkCtrug92A3rxedwzLK+L3/SUHuS40M3pPHYs45qEsw48e1j24//+PtmDfvinfoHlVUmAP/jZD7HYkYfT67aoNuT1eO966MEvsmNz3OG2zGtf/3a9CMNH/0LikFZTrvfJJ7/GPXe/FoBnnl5makqe3ZXLZxNto1CpT0Gvy5WLMj7VtRrGkf0vsiFOoh9p0gDeifXHDNZNA/34QBqGueccMmVdrvfU8bx8kvR/8rHHuPW2V8rPD6sMxrU2G++xaZIkIVpZm3SNfsmdsr7fs3+av3xYNGTrjSZDOfl9M5NL4sQHD8t4vXj3FDPjsh5Vqm22jKrOnQMVXU+6vmVWuzWuqj/lPcPlNRnnoNNjo3b6dTyXVdXNRdemyIG6ap5VupbJYfGnsGtZXpGYO1BfcXI56vq9j93/UV5y5z0ALCzOsWfnLrknLQTNLc3Te1j88E8+9jh7tWv6iRMXOXRIEjbx4SybdempFmQYBol2qWSZ9KB+Vadp0t9flfWK45u+uCNOzEd9Hc+u+px+eYc4QdIfrUB6WE3j4Otj+m39FDktdo2MjnPHXa8GIDcta+grdw/zscek8FxbbxBL+XTzJXKaRH70mBQT9u2YYEKTXqtByHZNDBeyLm1d36sdn5J2q26pJmUhn+WiaucGvR4b4k66jsOa7j2BJsAjE9HQeV/t9pjS9a9bW+L/ed/vAzCr58peEFHpii/efdM2PnNQzlDlciahCrr6HLq9iGEtnl+5YlPpBdv3LK4q6KTAg/7nFb8lipOfNkrjUuPg6ea1vLaGG1P7bepD/ZmypCun6yV7m/G8xMeSbp+O29cRu28/7uvMd83NpgkVG6+rmVKKg3G8JLZ82V2yz71i3ySfefQ4APV6i6zGM1FhiLymSB4/Lr60e/toAnjptn32aofPnGtp65lmNegxvkGKszUtOg95DqtKxV4Jusxaid0dx2VFz3Mt7b45kvdo6rxbDDtMq07kuJuj1pExrAWxDnaPnj6bA9M5vnBYzvHlkWyaItGz+/p6j2GVwzl6rH1VUtTRYmWs9xYGnat0sxIttqCX7JuiH4t0ltd1yzom5dVjk6Kw42aSYmOmMKJ/300SqNamaxTOC3XldFLAQxgkOXzbW8ctTOg187fagLo4sIENbGADG9jABjawgQ1sYAMb2MAGNrB/EPYtiOhC0Rwp7F4qlSk0N66WvHxWMq/HVxrsmZGKXWQX6RYkqzlvHQKV6swodNF6hgnt1rFrZJSZsrx3rJxnXbs4LTarjFSkgpTRDKiPdCYCqBlLRyvT7WYnyb7XFF471HW4YUwAksO5DEbhjWFkuGebVM/Lo/K9j89X+cZ5ySZ/9eDX+Ne/8E4Afve/fIzjiyLufMPMHcnQ/Off+zUALs2F3HandOjYuX0/ly6J+KWXSTsNnT2tcOC1FXbuFgHayYkSi8tVuU6toh8/cZJdSkEcHZti/sp5ubd2C2vXk0egyEOeePwrAGzc/CJ+6qf+FQAXr8zT0Q44v/Vff5+vPfSAjLdmoxcWFnjm8GEAdmzbyt33vB6Ahx74PKkQ87U3x/HIFydpt1cTqKsNu9ioH1OrCMFx+f18J2SbVnLDyNLUMZ0PIgIV6MsU5LW1Vo8Z/dydI3lGVfDXy7isa+edM5Uq5XaM8JNv9CNLVisrkbGsKVR6YbGOqxn1874iIWyWDQqtLWc9CtpMoJP3KGpVp6tzYqERUnPijlgGp3kQgF0bfzG520cfEVHVWu0SB5+RCsE3vr7O8LBUKZY7qyl0NGmP52CtXMPk1CzthlTFJsa3cFnF71stqY7d/arv4S//SmisufwQgc6hfD6HtUoFzm+g1ZQKSIwkE41PrRA4mZS5bPuhXsmLVyO3+n9trl9+XwrcV31ZUi21pCiC1+yQsVzqWbZMCcohCCwtRZMskKGnVb+cdtYTBLHc/67RIhO63ri5DFeUKnV0fo2tThWQrokAPRMl4sZLUUSxK9d3/GKFjFZZOsrdGXcy3DQp6KGc51AOtSOcZxlTJNgf/8Z/AGC+82/5w786JH8fzpF3Z/SeXQ7PSaOLn/wXQusYLxQoZaSSevnCSbIKY5+aHKFSESHQOaX1Whv0VRJJUQxXoeT0tchLGjEEQbOvMp1NK4u4CRszbmtkk6oTOJksUSemP+aBGEGadqWzofi23+onKVp67euINjVSYbe9ZiLs6mSHiVRwH0joQd9xizT3WOoFzI6Lb7XbITUd53rHklVkwEheKoTWh6wn47VntMSYrk1DuQJz2pzgbLXF1LLcY1tf6xpLqJXa1dBSU2TWucUqnl5nVT+36Bj2lMSfPNdQUHTmejYko0i9tlbCzy012KINXw6ePo6/LGP91td9P/kRec+nPvN+AIJ6SFWbcbSrlnSPcFL0QgKhN8keLL+LX8+kfhbTmVyXKK48m5SOgWMSei9Oiti0cccrawmDFHkak1qMSbsZxlXxdqtBipQwRD0ZXycTC8VfD5SgBRPoeh3Tw016f4YEQXLjiPx7pRsyqZIOnSAiiLvW2YiiXn+oiMJeL2JYn/n+iSEmtHNZ1nVZ01u9WFlntCtzvKG+5HgmqfpXI0u9KvvGhVqVIaVYVxRpljUwm9HOhcZS1GfazkUUtNpbqwgi6Bf/44/xtn/03fJ3YyUmlM7/xcdOUtD7Gx7Wta+1zImLcpGPPO7xrrdtB+Cr934+Qa695g0Sdz1z6HHuvU8obI7tMqdi88Oj41Qry0DazfH02VOEii5wXJvsbaYPSWNt3z6l4z89vTHx4aXFBYwbL15BQl00jszhnu8lsYro/crzGB2f5NMf/yDXzYyRtSkKiDdX+xyUUaRox5eMyL1caYcMj0hM2exFdLOxPxnKriIJ4m6vXUtWY4s9E0XK2oQgk81SUfedrzcodqoA1BVZs4qlp3NyObAJ+mtuaT3pJrymvpuPDFsUxeplHXIqPdIbhpLSk+KmCYuVdVY0HjHG8Nvv/WkA/uiPv8rP/Bvp0Lh37zYAhtyIE4sS65w7e475C/J39dUGNpYQ0LUvk83TViqPIUhpQRiZr6RDam3Yxyp0BZIWj3ZCIwr73h+jvOL/6PvifTRKKUfx+clKG9DkW6w27jJOjIS/HmuTQaTfu1wtjq/nojDi/ns/B8Av/qvXAbDsw9CwoGkyXZ9QY6TlKEM+PnslCNOQkiJEdo8WKWbUXz2Hjq4h670ukUq1xL7U6Pbwda1c9SPWKhKjLyw3EoplTffUvDHs0C7XxoW8nhXDEUO7JWfF83X53KbN0FK00Z0vezl36/nv818/mqyrY4p8Hi7lqHblu6orATHK3Nq+sCgR8I/HTZ59fxQa79exnxjHJGubl8kkbBrHcRIf7O9WmJjto431NzmwffTYpMFJStvHArofi3zIdUJ0GQfj5CWGVKkgnEwiMG+MwSrCaW9B1obVTkhpWM7jbsdP9rn5wEFBp3T1LNbuhMwonXHbeJFC3IDAhZpSVyvtCNMQNkVdxd+bGUNHEYrrYUhDOwKfXawlMXhLm45kcdmaE1/K5hzyvjYEKMG4Mrbaiihc70asG9kTsl7EnbtGAfjUQ+cpjcp7R3QvHi54zK3JfPb9MNlDHLeUPCYn7j4d9ks1RCkN1PPSjvJ6fg17jb64OuxrZuGnAvKOSemv8VoV9q0/OEksZRw3pdX2oQPjWLef2WNyY/zv4LUGiK6BDWxgAxvYwAY2sIENbGADG9jABjawgf2DsG9NRFdcWUhEpfvE9qzB1Yzzf/uLbwCwcuS/8cWf/58AGOuwuCzZ1MLEaEJ53jwu4oDjxjKhwph5z8HR6nfDeAxr9Wc/hstzUr0bVu2OfOSiOoHcUChwQb+jPJLniuqK0FGRv6Iho9WGSgSeVixfuXUm0Q/odiXz+khQwWh1oGl9vutdP5wMQz+SK7b/9UER/myt1agoP/g9v/IDfPxjnwbgyJGnATh25HEaDfm96xg8V75veHiCG26UtqueJ4Pz9KFn2LRRKu2r1QqRFfTAY9/4IpgR/eYmcRX7la8Sja563TJUlqrLw19/lJtuEl2irz/8dRytPK6siD5RpbLE5Lh81uUrF1haEI2EKAoTrvX1sFw+y549OzhzJqTdkYxxZC3Wxt8ZJailD3zqWQB+7z99N1/65b8AoJDL0VN9o6GREo5mqEuqqeN0AsaG42kWYFSotkaGEa0A3RBGXFqQqs+4Vm+90FBVbZKt5TIrNakQFoaynK2qmJ/qMuU9k6C8WjZ9bi/aMMFqVbL9jorqfmllGSdGN7ghy4tyvQ88dD8f/cL/DUBlQRBYL95/I7/2+QcAaK8HBNr+1hgnge9FWlV0MwWsVWTH2cOUyjKf5heu4GplJVBRxX/78/+OEa3s9topWqW13iWn1ZR83mM9Bq6YvqqRVuaisJ0Wi4zTV6ny4he52vp0RKJvQub+e5lJ16S+VvFx0csxToIW+U9/8AUAVp79j9z3zFkASvk8HdWzKZVLDOk61gpl/Jx2m+lJQTSsd3wiReushQa00nNgdow5FcLcMizVmbVewJJqte0aGWJNtUq2TZY5viJIhw0l+dyRfIaNijZdbHexWnV/ycxYIibfU02B+Sur/Omf/TsAdu7dS1N1cP7gD99HpSP3VFC0o8Hyp3/zVwA8+dhRsOL7+3buZmVJdICaNbluqST1t7PuQ+YpKiJSBI/xPDxFo4V+qklhQwtaYXPzEDoyFtaPncqCIiGiIJCW1MRfG1e0+7Xc4g0mBGI0WL7vOq+DWS3QZ0cEzgdEfot+1ER5RJ7Vr/+PzwMwd+hX+cqv/jkA5aFiUgXLlTyKWteaVN2abKfLpCKW21GYtHJeCQ0l1Yq7wVouX5ZK90ZFja4EPda0+rZztMRiVRALI+U8l1VvK6/7omcMVufvuoWOjtcNG8ewWu1sqXbjFy8tcfacII+ticgNCULw3NmjzK3L2lvSfTM/4/Hpz6qeYc8l1nFz88NEYSzonOprRVrRxfcxsU86zaTVOFrdjHo+bp9obqrhnCLIDUHiGqmukpesf1GUIlusdRNURCLGG/YS9I7jOoRxq2xHxJ77pOiusVmF/cQtxKMUFhBFxIX6//k3gsZ876H/wpf+k2iCZrwMvu6P7WyEUYToSEHm8ai1zGhDDNdzyOa0Muy6lDWe2mvg4iXxpW2qL7jU7dHQBhFbSgXmq7LPlb0C823xq1gQPpfL4OsD6Vro6rjumRlN1qRAW6r7BZ/HHpNmRNt27ODDH/6U3EfGkC/I5xVVXHp9bZ7Dl+XvvvedP8HqwnkAduzayn/53T8E4PHHJJZsrC+yYVp1ua5cZGhI9vlGo8fsrDTV2HuDaJieOv5UooPSarWo16TK73ipdo0x3UT8OUbV1KqL3Pwiie2qtTVC1ReMoogEp6E6c9lclk4nRuj0iEKJDS6eP8XivKzB18ViREkfMsNG4VUCxUVFYf3ZJ2Tu/saj/56H3vs3ct3ZTCKq0sAypPN6VkWxp4BNMVzCGgp58TPfdRlW0ee8gYuXZO7MqiZuM4pY09htaynHiu51Q0M55jQOj6VnsqUMGlqz7ofkFOlx08w4VhGHPUV23Xt+MUF9BjbkicOiD7XzxilGpuX1kvrV5ukiv/2X4m9hzyVQZJaxnoisA6gmTn29kVxQFAUp+vsq0fh4jzGJrxiTSYDp1oYJ0j3G1sl74t+bJG4y2D5/c/sa88QonF4fyhX6sRBR1OP6LE4OeFkIUnQgbi7R+mms18iMyF7wvg8JA2HhoZ/l3vdKk66OiSjqXtJxHIYUpbphTHxpIgqT5mA5YxguypztOVBWdk8WuKwNDbaqVlvHWlY1zt0yUurzpWziS3GcmSt4uHll7vSCBAl2YGYcP9bsU5H7oz2X22++G4Bnn30qYWuMjpTJlpTRkJF7yDoRR44ICpaoSNwYKwrS5xJrar35TW9idU3WmNOnTpMryBq8uLhIFMVxcayZZZK43A9CxkclHh8em0p1l03KRkhZCX0xrniT/gT2Ob5hrU10C20fu8La9Ex1zc1aQbgaJ9WN6r+OKEUcffBzokX83//9d/LAe2WfCxwLurcFGRIk4IyiBydtxKw2jxpyHcpZiRu6wJjG2zlruaiauFvLqpEahfjKutg4VGBFY6apcoFFPd8WeorydAxKyqHaCxhSH9u7YSzxpZauSwvLFULdH+vtBktzyoLphRSLssbkFMGYMXD0WBUAE5avGhPjyHuntRne0uJ8EhMbJ0vYa8bDS9Sp62DHuqeenMcAx7Hp3ubkEn+L+s7wTuI/4VXMDUeF9iK/naAUEy8JQ4wTx2V96wQ20U/9ZpH4t2CiyyIDnArMighfSg9o1+WhfN9bJeCIFpZY0WC63e4lHYOCXkRZF44p7Uh1qtZgfFh+rnR96rpo3jo7SU2pdy1rmVL4Yvyc5ls9chr0DjuG8oZRAJ5dqxD5cp23bhGKUi8IGVKayJnFFvumNVnkQF67MQwV5aH//Ctv5uiLRMzzDx58kv/yX34OgM98+K0vODq794sA//KZGt/21u8A4H994C95+tARvV5xhw0bd3D6pFAXp6Z34WnHvVtvu5XTp2UT76oy7O23v4RWUwIoNzvFk48+KD+7RWwkE+uG/bcmQtv3vOYNABx8+gh//ddyuJ2ZneXr3xBh6mazTqDB/VMHRUS2Xl3jLW+RewqDiBVnQa/XMLtduhXNn730gvf897Fup82Zk4fxgy5DRaH8tDokQT3WSZQc3/EaoW9S77KuSR/HknTNc60hpxtj3BvhiaUKsyMqhBtZurro3LZxlEpHk5pehklNKDia6Ko1exTVn/KRYXZIDwatFpEG83fskEXJDyJGtZvGwYUGY+OykeezWfQ8QVmD+u8ZH+KIdmt5snGFdVcWrXf8o3dw9oJ0o/qd3/0FAC6fuUyECgVjcXQxtNaSUQqJr0G4l3XwNeDu9fKYddmcpzfuTToqVaty3bs3bub0SfExYyyvfpUIjR586ijtjszdldV1TBwgxkkIGyULp+MV0lXQ9FEmkrjbpglSY5JFMvAtUdi5mtZ4zSxem2wK7+7DmFuiJEh452t3yO/bllUVocxFlvGCUimsoavrTUEpzydbXcZH5Rn4oWW1Jfd381iJhlIiGlmXKaVhFzSpmgmjZH0rhoai+lKt08PVoH+3JreMA9tU+PdUtZl0JSIigViPTcg1ft/YEE8dkvn75w98mfy4CAPPrVxi01ZJhnfaMo+dMMtjj8uBZ2SDoXpZnuOVKycIIwkigoQylv1b42mrSaiks1S0jjI8cd0sYSzm65AGLN0AMnGXFj3klgr01F+Dbi9dyPGJE13J4cBxiII4QRaRJsKuY5JLzTiSGLE2FtHPY3sxrTpi6yYpQLzjdSKIzMoqy0rpK0aWKU1qjRfy1BtKu9RA5FSny+yY/L4dWpabEpztnChTU59sRoZpTWBoTxUykcuwzslyCFlNii2120R64LhxqzYbaHYpadB+Ym6d3Sr4m3Udurp/z06K731nOc9xFSY/NLfISk1oYXe95u00HpMEyWJLRGNtM0umqOtN24IXP5MAa3Px6Ml7owj8uKuii4059l6+L5GVjmn8XB0vkyTFoyhdQ+Sg+JwDgHXS3HbffzEOxovpADHNNZMUeqKoRzYv9x8EAV7W42rSyTUyPZ/YHhBTBLwsVpO21jq8/e1Cz5t0hVZOrUVV95ohAwUVfx/L56hanXR606fXu0xq3LTe7NFT/9gyUqKmNIt6aJktadJek9PFyMXXQLVgHTZqR71at0fYVirk1lEAgiAiq3Py4kqTjbq5jeay1HXsI/3cF2fynFIh8ccfvcC0ylgsr3SIp09LxYNH3AyBJ/vO5bmTPPPoVwF4+ctfz7/9lz8GgJeV75qemeX8+fMAlEojSVy0e9++JGi/cO6IjrlJCjdhaFjXsR4pl6nWqvpgvLTJrbrUjTe9mtExmSfdjo8xqbhvupfImPX8dF82ppB0FN28aYYzp2Ru+9elrmP1mJvySIxDuuc6Lm3t6PqPv107b681qGosXLJQ0hh6JJelro1BYtmRk+0em6YludUMQnx9746JISq6NlXDiI2Fq/2p1Q4o6xhkrSGnB81qq0ug8dYtWyXO6wURRU0SnFqqs0uFpQu4VHXQprQj7HeVt3JwSWKlY5dXGIvpmCsrZNriG2cuC212bGwHVmOXvTfcwOVT4ofZrKGlh11H15IoaGH7Ellxoc7a3gvEKH0EnMhPukcaY9MmAPo5/e83xqSxkpNLadcvREU0aRLWEqUHURtqs4HrYI6DlxsmdDPYruyzuawhULmACAerBcDvvEe6w1Or09YDvrGWvCayHONgtZNm3KHuXOAzPKLU5iDCb8nPG8dLNDT5VI8sG3Rtis/hvU6QAhmsIaO+VO/0sBr/37hpFJBpOam+eHK1yY1TUujN4dDV6xzTRlQvCUKeOShnoeHRWRZWpLhTa61TiAW7RxUUYbJs2yV7/IUTqxDFcz1dL+Jk+wMPfY19eyUOGCoVaKocSqlQSvyjrLHf3Pw8flf2+2wux8iI3Eev5zOh0gcrq2n3dJtulEnDgP5OjFfHazEN1pfkrby5L7nVFx9fazNGCjk2SNXJw4BIm/LIPijf/fa7NUatt5L9w2ApatHYdd3El0JFxJxpd9k0rc3Fej6B0kpnx0foagzedTw2qKxIVs91nU7IkPpS1mTIaMy03u1CU75jt64/NiBZl86utLhRASAlL0tdt4LpcfGD1w3nOaSdjC9X1hkb1rH3qrQUKKHHADyTSVaQyAYk2TRjk8LbonYUdl0voZpiLQXtqNxuVNJKQbw+OV66boUhSaMEN01wOq6biNfHsZYNen0120zSAdvJFJLPTtZJv9W3/KV0f+NkpFD9d9h1pS4aY95sjDlhjDltjPmFF/j9zxhjjhpjnjHG3G+M2XY9r2dgAxvYwAY2sIENbGADG9jABjawgQ1sYP9w7bohuoxgYv9v4A3AZeBxY8ynrLVH+952ELjdWtsyxvw48JvAd/8dn6zp7ICrWqwmGeW0svHHH5fK5Ktve4RmXbKJ46Ml3Bit40dUVLhw0VfonbEs1SRDuH1qFFfpMMfnK4wqKqAUQUGh0quaNc51nIQyGWVdhrWKvaNUBEX6rTUVsdCFRlOu4fR8g6Anf3dDJsdynNGflQzq+FCBDVqh+uBf9g/d8+1H/u0/5euffAqAibEpvnTvZwAoFjympwX6e/6sIGmWVxaTau7qyhx79t4MwKOPPZOgrVJWg2FYqxmeAxNTmwHI5tZo1AUl4HpFbnvxbXLNE/Jdu3Z1OXpUrvnIs0eYntEqf62ajFWlKhnk2259GcdPyHsPP/sMECOqIlxtv3w9LIoiGo118vksLRWFjMI+pcc+sdj3f0Iqtd91z0FpMgBsHB/CVbpOrxMQS1XnszK204UCS5qG37NhMsksH55bZiIv95X3fTJD4k9VrUKVvCyRVvpsBgpaWdtaLGKHJQ1eUUSP7RnWtfp9aaUDKhK4M9emG9OGCvL35VKWLYp+2Pxtv8Sb7v7OZCx+7vfeBcCIVjGenYtorcUw+FzaPji0dOPWsoo6GymPUIkpOCaP8bQi3Q0pK6rEU6j0xQsXGRoq6XvhlKK7tm7bSE0hv3NzcyRcGh1/qR73tTtOUJx9CIvETIqkCNoEKoIMBfC71wmCTwr3t899javEOf/0U7I2/eM3HsRX8dMN42XcloxrvdkhirkHKipfcgzz6/LzxolhHPWmy4sNtH8GxchSVEqsFh0p9UIKMSW2kGFEn9n2TlE4IkBDq92ZyOGBIwJ/X2j52K7Mw0206erfNcpauYpgWqvuh49cZIsjlcDf+60/5td+7YcAmMhJ5erQ+Tbdqo5HpsTIqNB/dm7ZxuFjAiHftFnQqOcvXO7jXST/kaGMmTs9XVRthhhhFfYC3Kz4Xdht931GAFZbhpfk94VikclpufnF+ct0FUlIlAGtQjp67VEY4eYFPRl2lpLrcfNDhDE85HoABAGsIonCPtpwTvYG26tz8rSM3a+fkn/f8OIRfKVSj48Pk9WqbavVo6IohZyuKxkHrtTk+nfMjktTB2Bhtcm4lgE93yczrMiQGBTVbpH3FIGa98jq/NxczCfMiCsKzacLjYxce6Mdcm5JxnlnJktH0TlLroppew6TozLm97zoB7jrFfcAcO+XPsnCWUGbTpbF304ttwlbMr+dXBGT7BE5Ygp9jJoyTkRGG6t0mk0cRU1HoY/RKqJNqr9GaDSgtDNFs5koqWTKatMvmgzWdvooHemeAQFRjCBLxOxJqZTWp9eNK6SGXtBKEHfX1lQs2HMSMV55Oa7qhnz0Ix8BwNXY5Z2vvIFeW57N8HiZrgq6d9o+HUXelBRtWvIcVhRJOD5aItBpsVBtUtZ1fDqyZPX5tmJEdC+kkE3p6rH+9kw+S6Dr2LoiW50AmuozPR+Wa+Ln9bE2NUWexQLnbsYhp9SMJ55cYWZWUBHGrDOpqNgxRavOrfnUzom/fvTkJxgqyvwqlccJdJ+rrImUwvyVs9z0Iolzzp27wEtf9koAtm7fxXpV5CyeeEyauSyvLFJQJG271WJ6Vuq4a8tzlMujADQatQSt6eh+9u7veiN33S2o+Mcfe5jG+qJcu7cZ31dqSrCm95NJquZh7wqT04JSeOjBL/O614lw9xc+LVTma22yhUaJEHEfnBoDCU3/jz8qSN63vXwbHY1ZNk6MEDVkLWh1fGqKdBpTdxzOeNSb8trUxDAtfb5XVpqUFBU/EURklS7UU7RIrhvKwgbk8xniVWFjMUd7WMZ5SSlqhFDtKe2nHjJnZK1cKTRo6C21VBy/h2VmVJAz77/vKJmM7Dmel2FK6d8lX9bJT33pEW7bcw8ATz12MJn37bbP8KggfWIkIG4+WQus9RP6s2woMWMlpenEMg+Cpesf9773JOitGLkFxsQoreecm56DHjXGS/7ORH7fr+MmH9cebWqsxUQ9uW6N2YZHJsnpc1xvBdSVpfPHHzoEwJteOpmgh7dPTuA0ZJ52ewGXdPHZqswdx3FY0Lhp74ZJWooAWVhtMqT73JgfkisrY0HjKj9qJ3FiPueh5AhmCzk6ZRn7isZHGVy66/Jzq2U5rfvcpOfQc2JUnDb2cWBCY+IPfe0Yb37TWwA4ev7jTI/J545q7HGlXWL+jMx1GxRSRGcUJujNWlUkH97wutdw6Bk5oywtLeFl030sr2eNxrr43YbZjcwvShOgMIo4f0HQiOPjY4wqjbHVbtJWpGWKiTGp6LyV/4//x6YHxvRfN5u81/TRGK8bPd9aYX24uUTuQV7r81tFNP/pxyWmePNdOwg78t7N4+OYptxz0AtZVV/apCivgutwcV1+f2DjNG09r61WmuQV4Vbyuzi6JkQ6bpleSEHjoGLeULbyeZVsDj8vr9c1zrcBNLQJVL0Zcc6Ta5jON2nr2I9pHNtwemwclX3y/V88LGdXoDxWYvOEPPOpYfn9I8fXibqCGiMyiWyD42QxugdNTMoZfWVpETdG3JbLrK+rD1qLk41lHrSJhmPScMdGCRLMcyy+Xk/k9/pYLvKP8TIJvRTrJ/POWCdpFpWg6AETS+6E3ZTl43jJGfSb2fVEdN0BnLbWnrXSbuZvgLf3v8Fa+xVrbZwbeATYfB2vZ2ADG9jABjawgQ1sYAMb2MAGNrCBDWxg/4Dtemp0bQL6RZUuAy/7Ju//YeDzL/QLY8yPAj+q/9eXne2vaKRiZ7EI374bNgHwjju3s2lMMuQf+PIxWsqZdrFYzbIuV2NxT5fxSW3hWW8xrG1HXzQzyqpqnNQbXca10rNJK9sX3IBRzaAfWa4zp/zoLaVcotPQU+SWZyImVWjzwNQ4m8ZVR2WogFeU6zynYofn21UiLaWbM19hetetAJQZTe73t973XgA+/pmv4Wi1a2VlhUxWKlBmcpLmnGTse4pcazdrlIqifTU5tYF2SyoQnVaNplZx9dYYGR1mbU0QMVHYw1Xx2H37buD8uQsAVNYW+eDfiNDoxctSKdi3dw9TU5IhXrRLnDh5QsbdjRgdkWvbOCPP6JGHH2LjRvmZyCevzzC0WRbmLnMt7Sp/Mi4ZL4t1xxMBPNEliKvvblKd37lVsuGvOzDFhpGXAvDXXzlBS/0xC4nWRDtuNRt0ecmMan/VWxRKkl2/ZeMYK4qGa3ZCNmjFIK+acFfaQaJhcXR5nSuKINuQz5FXf+pq21nPWCZUP+WG6XFmR6QytWmsREuz6185J1XhTNYjq1WYwrmjdO6Wqu+VxQv87M/+EgC/8HM/A8Cx08tY5Dn1dXvGGJOI6segmdGRYVaXpeK//4adZLQ1/J7d21jTitNtL32J3M/Ro5w/Jyguv9diebkKwFq1ngg2RpH/PKFUgyDw5LG5XF1dvLpEZIBeR77X9Yqg2iFOrgBOnqh7bSqTz/UlGY/nIMziccNJLnnbrMz5e26aZqNqYn3wgVO0tPo77BnWtPoWNzuwGcO+Sa2QNbt46ku3biizuC7zt9bqMhZX8vTrex2fYdVZOrzcSCraM/kMRdW26ASxQLdlp15PNpdPWnHPjhbJaUX76aqsBZ12CFrRKjgdnj15EIBPffoDOBn5jEpD7ufi2WaKbPEyrNfE91/0jtt5+rCIn164NB8PVF+r6rT6ZyOb6IuYpFLopFVwJ0Mmp1Wz0hBtFey0tpdqd+lc7Xbb1NcFudbrdjBuQcesg5eV92zaLMjUuSsLBLHQjRkCnaPWGFB9nGuF6Lp6r5M2y8Y4yUSzNiSXl+/v+HLtALv3ylr+6v1TTI/I2H/sobMs1uVZTxU8mrqnVBQxFGQsuyfks5rrDQqq9XHbzCjLutetd0JG42qmzvn1Zpdx1ZA8VWlxQptjzOQzDCvSoabjERIwoQjS7cNlSoosHS3niDGWpxfkp7znkdMJEi1d4fNflpbyX7jvIzjasGVxTZ7D0WPrWG3c4mSKpPt/gJMIL8dz3KWn1VIn4/X5UI5kbYlRXF6//lYqtitOeDWKC0g0bGwExtHPsF1sjP4yrqDBIEGoWgsJ9A0n1S4xBgnJrsfa5BCvS0bRndLnIRaktUkldvsm2edefeM440Oic/rxh88SqfCkBVZ177oUN3DJGDbGyL9mB6vx0c2To6wpSrUVRJRVp2RUkVeNdpcpFc09stzggq5jE9kMk4qar+tQtf0eGzVWssYjVES657q4Jbmn1VX5e9dxCFryh6PDWVaqEpOMjGUIdD/vKcLg8lKPXqSI/sDgORLzffJjH8LRZzauCNTXv+mtfPCDfw3A1q1beentIhp///2f4+jRwwDkVbNz+45dSQx1+dIZAkVjudks9brsTYK2ER/auEHmcBiETIzL9/3iL/4yrY5c2//6i7/g5DFF9atgXug3mZ4VvcflxR7GyJht2baXpZUYjXFt7Llrk2hKuURBjJwIU2QkmQT1uGuLIGdfe9NMgn762EOnaWm1v4ilouiudZ0qmaLHHp3z1WodR9F3OyaGqWts3egFjGgsNKLPst7sMq1r09HlJhd0nxn1HCYVXVdRxLpjI8Y1DvfHywyV5TOKpQyh6u1cWJS1qZjP0lPUx+x4keWmCkhnDG3VestqDHbm+AqNdUGL5L0STdXKsVGDht6nVaRIFMbagBAjUXWweS4OwThOKuptSNYxWZf6dblihKgiJEg1eARVk2olxa8n2HjHSXTSjOP1iYibq4Fjf0/r9yXjZCiWR9izazt+T3y2VqvxX3/7twH4nf/6O3xEm2n9o3e+CoC33LqJbWOyX33oodPU9JmOeh5W58ucrjthBm4bF59YWK0Q6Py8ffMoHUVktXwo6f425KVr01ZFEJ9YbXJZWUGjnsuE+lJNfTifcSgosmTn+DDGk7VnpJylplrHZ7XhVCbjUdQY49Yb93D+khyTfX+dVi+v4yPXuP+GV3D6sOyD3W6fPzhOggSNH95993+F7/qufwSA6+X4xCc+o+8Ned3rXg/AyorEPIcPH0yRoGG6Bm3YsIHLlyUOazW7KUrZxrGUSRtOyIXqr8MEWWMVmep4eRKNL2OJYvS7MRg9H1wLe+665LhZ0RGLRUWdqG+/JdnTt21UbdA7NrFf97w/+8xhmvrWEc8hVBbWXDPuYGESXbaVaoNI5/zO6WG6uj5UuiFTqtGViRk1DctGbfh0YrXOeUW8j2UzjOleuaoIxQwwrjq7weRo0uSikHPxNGVzQfUCR0fytFSzcNvMCPMa47mOT0vzDQsVWauuXGjjGLkGY7NEuvcHQQOrKMeqogS9bIltm5TxsHiZTkMa/ziZfBLnuHlBp9qg17eApIi/wBritUjWldiHnPS9JhaY74GvDR68XBKLREFL32pAUanGdUWjGXC8nDT3+Tvs/xVi9MaY7wNuB+5+od9ba/8I+CMA43jWzYoAWSnuiNhcJ6MHqyCUSQ6QL8lB5ctPz7NlShy53Y2Sw3IPGNYDU14hcmOFHMdWJHC/Y/ssY0X5jk4v4qweGqKWn3S6mFGHLuYzNJWiNlMqMK5/V+122adQ0KMVeWhe21LtiDPcMpZnYkJ+f7FSZ5s6QUsPt61WxLFV2Wy9JRjfJc6wZs8xbiTA+bkf+3EAfu9978ez8r03vmgfFy9Kcqt1yecVd0mO8Uv3CT3B9wP8QJIfL3nJWxNhwWq1wlNPPSD3pPcwVB5mWIPYTK7Mnr0S/GYzGXq+0k8WL/O6N9wJwCOPSLej/fv3E7bknv1ui4kx2TQefeRhGnU95vQJbi7MS9LMEtDVQ8zO3du5cGGOa2n9/uR4OetlcoQY6aYFuE5A0B8M6MJ99pzAN792cpXd2myg4UdECoVtRyGj2rksUNH/ncNFji7Jvd6xY4qCbqLrrZDTekC03QhXxVTjBc7NulR1kZ0slxkfFh+pNFrsUGHNoxUJmowPa215775ynnGFsl5Yq7NDO89sVoH69V7AySWhWPzGD/4sbeXVfvLzf8Q/+yc/BcAmDQpGxgq0V1K6TU4F7aPQw4m7I2aUMtLtktVA4dSZs3HDHJqtHhtmZcE8/Kwkt1760ts5dkR+Hh6exFoRU2x3/YSaaIx31WFRfrAYN5FTvCroMhoUhoF2VooAXcijsAlKS4j8FbzCLFHv2kRsV/mSm7dx4Hh1RNjXxUj9/cKCrCVfeOwML71xOwC1rp9uOH7IqCZ7VcOf4aEsZ1fFZ7ZvGCevB9a1ps9F7TrWqftJgrSs0P9MxqOiwfb4UJYRPVi2uj5b1VdO1mR8ctaw0NCNs5ilpAnpK9Ume/VzURpJvd7jvCYxa90MP/LDPwDA0cMP4CnNe0RpjoWSS7MaC3PWQROoq8tr7Nsj69ixE2fScb1qlNUnXJsmwJIDVYSbVRHPKEp8ptGMhE4GSjmT7263Kvpn/UK8DravUBKo4Ouli7I+5nIOgW7CufIYGVfuv9GqkbTtvUZ29V6XtRJIGu3IJ4nInh4sjZelqIe6y1fELz74wBHuuEUooCudLjpNqfd8JhXCfr5SBWCyXOT0mqwhB7ZMUtbkQ7UXcFIT67YVMpSLk0AqaJvPsqrU+0LW4wYVUV1td9g2LsHjGaWSdNoBaxqI3ThSINL9crHWZpsmTi+piG+t4bOiwfDr33I3H/7MnwGQK/jMzEgSoHFFrj1f9OhZ7aQZQMoPNkmCK9IEknGiJCA3V037tMNhkvwiPWBKQJz6WUqV5mrWtP69jSlIUQCJcD3J5yV7nSUNwumR+KETysHTXO39/6d2lS+5WWttRr4rEZM1CRUKEySd285ckP3qsTNNNk6m9MGmFnGyxlLUhGZDD4qlXIaTq7KX7Nswzqgm0Nd7AZeUFh21fHK6/9m8jEUh67Gi+9x0KU9R15jlVpuNSrc5tS4xRB6HK6vil3tmS6zpnK63fGbijqAaqFebXRpasKvUfDzlHeVKJM2BMrpvl8oOXmujvLdTw9M93MlkiZ/N7r2yRh05eoRvf6s0zdm4eSsvvVPiqvMXzrJh41YALl+UdWzb1m1cvCxFug0bd3LxvNDVZelJkxRxQqirSetL8wv8ynt/HoC3vfVtHD6j62Y7ZGpSYtp2V+ZMo1FjdUX2TxtVWVvTA9TEAVoqqXCt7Oq1KWdNnIxJChEBfdWwhDp89pL40+Pn6sxqA4H1XpgUcHp+xLB26Wx0ZA6Nlwsc1Th8/+aJpJlKvRtyUU+iUcMnq342ovSfUj7DWkOe+2wpT0ljlqVmm436GU0tapt2SKWtDXJGc4Ql7Yhd77FJ18pqQf5mrdllWelz86ttCsPamGU0m1CBRzV5UR7P42oxPYhCEZYHhkcnaLflmYRxl2jhMev4wgsl0+OYSBITsd8YIqXCGYJ0XTOWNEGmCSvjkHRHwibXa/oWQ9snGp6+HKXvSdTPr33ctGnzTvvPf/rf85/+r/+Aa+TZTE5M8JM/KeeaA7fcyqzkffnag9Io4uEP/As2Knih7ad0zbbvM6JxU0dj4qFiJtnndsyOJEWaTjeiGifR20HSITqX0+dYyNLUfW62XKCgCbJKq8OM7olVjcHd0FLR2G17OU9Xf9/pBOzUGKqqwvcrzQ6LSuEdmdnHlbPSFGzT5lFauu8OZ+SzTp05SlMbqRm8pOGXjqL+m8YgH/vYhwHYsmUnnsbK73jHO+mqrEioCdadO3dx+Mjx+Fkkj7VSqXLTTQcA+MY3vkEQc9Bjf7W2L/llE78xjvecbp1Cr0ziFuMmya0oeKFGC//n9vyYKcLx3ORcRuQke55xskmMeFFjpgcPr3LTdknamGyWoC6vN6OQss7/XleeQXkon3Qq371hmKnk93BJKY22YylmlUKoTecKxSzL6kvTw8MUVdx9eb3BBk1krWvHYdO2rOh7tw8XCDWIq3R6bNWzX127aM6v1Vlpy/Wem1unOCq/Hx3LJTTXvQrQeOpwna4K31t8jIlphd3ElaKOrNXW8dBm6FSrFVxNPIVBFzSx5GiDFhu2k6SpcdyEgkjUS7tTZ/OYJEkfx7IejhcnPA1BV8/D8VoEyT1YGyU+Y9xsImzveJnnBnUvaNcz0XUF2NL3/5v1tavMGPN64D8Ad1tru8/9/cAGNrCBDWxgAxvYwAY2sIENbGADG9jABva/Y9cz0fU4sMcYswNJcH0P8I/732CMuRV4H/Bma+3S/86HOsaQy+Vo+z0aTcmsZjKpcLcxlslJER51FFXzmx+b49e/T7KPE8UsHa3Yd1oN9m+TUkFJW7+uNVsMKZ3x6SsV7tws2cfzSz2hqgCbi1kchTY/cj6mR1k2F2LKkMe6onUmXIeyIi+WNOO7MZvhwqpU4VbaBb5jUrLJx+sWT4XnWlr5GX7Dj/ALL//25w9EXxLzljeK9NnS+U4CCzx96gyx+OHEZJ4Hv/IJAIpFqS703B7bd0gr2k63w7RSDB99/BSvvlsEVs+clgpkr9vARpKBbjbWte0sjI0Os7IiYvK+7zM/J8ir17/+TTImTkReoeGLS5cYURro8HCZpkL302xsSKC0tXyhkNzg2uoi2aw8x1im81qa52YYHZ9mebWWZLhN1OVq2HiciZZreuOP/TWPfeCHAZgaytFRFJbfaDCqgpZNRT8E7R7DWil85Mwq+2dkDJ69HOBpxfMlGwoJPfWJZRkXD8sOFVqtB4alqkJVXYeCVr1jVMXGfJaLWlla7YS8fUZ8+vhqk2xG3hNo1Xxp+ib+06/8NABPnfsa9UVBrfzMD/53Ogis+WNflefbrobk1V+IsnTaMUKmTcaR+WK0bW+t1sBXelfg9xgdF58eHy/TUFTfuXPnADh9+hQ9fe/y8gKTE0LtjGxAL0irVOZ51UObvtYH3beWpOVxpNQ/G/QS1I+NMkkVyjgFgvZSIjh+Lc2qIKewF+OyVvIf+sU7Y3rAW//Nl3n6LwQJNVnM0lOR0m6tmtTrxqakuhyFlpyuJReW6mREH53Hak089dd948VEVPzZeRVgdw0b43bH1mGhImvTiGswSvO6otVqk8kyp7SM5UKebxuXatC5VoTVquhqTf79H48dxdGK1Xe85c2sXBZazcNfP87UhDz/Lz0uvhS0fIyuR5gxciqofnlugRPHn9LXFXZh3D5ggKui4MkI6y/kH8ctJQheol7ynN1MBCZuRtCQ9sRAIsTr9NOT8xCqGL2NQGkDKP2gG4Sgotu97grjs4Iu6nYtfu96CIf3mbVYYxNUozGp72C8pOIcU/fe86tf58vv2w7AZCnLlRXx8y3DGVytON+0S65/ab3BmFapLyy3MErDODq/SkHphrdOlhKE0VNzNb0Gy9ai/F0Gl8VFWbPKjiHQyueJZXnvjmyBJaV8NIOIexT9dWzdJ6zKetLQBhQveutPcO6KrBGf+PxfcOM+uY8f/Mc/yWc//zEAPvnRTwLgtxxcrw+xFSNknIjQj5EMcbXQBUVVWGzf61FfMbCvyUVifc/WOPTP43jeJJAwx0vpHUSJsDj0dVVPPqsPjWpTOrNsM4arhHOvlVktiBoHG88BGyV7Hjik4A35/d0/+lc88v73ADA1lKUTKDXRb6GAdjZNKdK43WVUkRILtW5CiX708lriS3tG8gS6vh9SlE9oIrZrI5ZW5LDekLVpOGOSNfqyrjd7S0Ms69p138F1fuwNgjx48uIKBa2gB0oje/CpKwmVbHQmT8YRv1ye8xkakut8VpcEtzvKlm2Cgty0MeDSWYl7TBTy0z/7HwHYtlXkYz/0wb/ksceFov1yN09PEaInTx6hoEiSekPW3fu//AXGxmQv9oOIUJ+rxfbtDyZBI3/f9/9zAKZnNvHM04Ly+OKXv0G+LIjoV7/uDRx/RtbKkWHZlx946BA7dwva7MyxDm96q1CXDhzYx5iidf/dv/oU18OstRgbpTRyERfoe8fVfvyGn/wIX/zv7wRgcijLiq6pfquRoJO3jsm+0SViXJHHV5Zb5HS85lZ9soouuWWilMytI5dkzCPHsr0k19OyDlcUAV1ybSK4fL4i771xuMSluqybrW7Ea8cELXe0UiOflfvoKE3yk49fYEiRORMzJYqKZL9ypYmn1374uFC+gqZldr/sZbW1aoLSkVi4zweAfHGUbms9GS8bxU2Y+rQi7NXxp7wzpbMb46XIGuMQRfJ9XmZIPyrdPyBM6dZ9H+n009ES8+hfDxMK9jW2hYV5fvM3fgWI6AXy7BbXeuQ9mfdHnn06ea9uNZzOv5NMTfaC8VKWioYWQbNJRte0DbPx2tRmStkpq5Ueo4pGPV7vklME6N7RUoJKOXxZnkfWM2zVuKkRuSw05csLjk3Om0saE28YH2VRETmnui1eo1ICR+YrWCM+VFcq5WcOXaKrSKlCcY5RPR+cu1BjfEyueSknGJGTh88nCJgo8PtE3Pso9n1rSWwXL55N9qb//Kv/ntNnhN3z4Y8I4us1r3sDv/WbvwnAoUOHEpbTymqFtTVZY4IwxNp+pLOavrdYLNDqxGeCSJBBcJU4eIKuDvwUNe1kU1TYdTChg5t0eBwvQVhjTIJIiqfV63/io3ztj6QR1/RwgXZH5m7YbpNXVsSGaXkutU6L4fhMW/Epe3LPh6udpNnWvlE3OY+cWhCfyJiImULsS9DQPaLo2mSMLyqdcd9wiSsNGddmAPfsFl86uVhhKSP7WE3Ryp96ZoGK7kHTW4uM6drnONN0FCH1V18QfJHfziXPxphSEh9DJ6H/BeozroHK0nn9fUSkTSIc42DjsYwR824uaaAjsal8lpsfIn4Ijpsh0jUqpm2DSVB3NgqJaUBOtpBQumO6Izbs8/MANzeqPztE/t9N0b9uiS5rbWCM+SngXoQ38qfW2iPGmPcCT1hrPwX8FsJh+bBOgovW2u/4ph9swHEiTAZGRsT5pqY3JvzYTq+diEstzglFK1vI8k9//SEAVivL/NIPSyLn8rLLBT3U7SrLg5wdGsbVQR62EYEenPeMlfjyWdnI1qpukvSK4eYdG9EuykO5aapMlI/1OiwXdYHbpEmQZ5cbDCssf6UTsKpaMjunRzi+VAVg45j8/smvfIrXaKLr4JHPc+uBb3vekLz5TW8DoFn7JJeOCL1u86YtSYeXubnLBLqB3Hzz7XK9nQbHjj4h13vT7XT0gHLH7bdxWDeWMJTJeOfLvp1l1ehaW1lldGRUP6POjQeExviFz36B8rAkLEJ16D/9k//J/gPSzRFrOHVCNLqWFucSClIM2zf0HeaAonbl63V7DA9LoNdcO/W8e//7mu93mb9yFjnUxNSSvg29/9AR7zJujjt+6K8AGB7J8Nv/QvjvV5bWWNDk66Q+v7HREpHC8ScyhiiUe9wzVeSRs5IkvL8KGYVNOzFv3hjqygs/MD2a8LiNCTlbkwVss9JJn12s4OrhpdHoUNMuXjdvmebBk0IH3TAqiYVzhx5lXQ+Yf/b7vwolCYbuufOfcPmCPJ9bX3IrAHMXKlw8Lf50660388jDjwOwafsuWnUJBqqVuBuHQ06vMQwiqmuSNHvm6R6dVgxJVU0dzyNfiIOtEXqhjFW3t5Ye4m2YHCbjRc/1iklHoLQLkG5qsT5AT4NGE4Kjm7AzinGU3haskS+N021UufZmwDpYHMwLpmVT6H+ic2AtL/6+9wNQGHL5w597IwBngoB6UzbJUaUVD7kOWdWjGspAfDjfNlrgmUtyP4daXSIdi54GIRGwrkn4vRMlRnJxwgku12Rt2qbUn6MrrYSqttIKWIjp2CNDnNLkhVG63htufSmeFhVWzj1FaUp+fvWrXsbaZUlYjE2I3y01VnFi2qnxGR+XLF2r2cLaXDwU8msTXU3XSJ65ka5QgBvrMDmFtANjn7aeMS6OjkNonb5Nsg80HEOoSddzcJPgLO4+Z3CSBGoUBMmaPzY2ytLiMtfNjJHOSpFPvFVf1QnQMcTJmDiJ2G60uOs9fwrA5IYp/uBnXgvA5cVVlpVmOqVZislymYz6k9sOyeuB9UUzOZ68JPP68Us9vLxqOSjVyBiHKxqU7Bz1mNC9LiBK9N92a3e9U8sdykoZqvZC1N04sHGS44uyRsRh8cNf/Dh3vkECziOPf4rRsf0AXJw7zdxZCb7Lw/FntSGS/V9g7erT1jwvYWOMj02SVpkUDk+IoS8Alg8j0YIwEO8J/RREY0JCPz6Q6ueaTEL/N8YjSvRTUl9OKInWpH+HB/10JeNzraiLzzVjHOl+FB9EDKnOCw4xvTdJUEQOr3jP+wEoDuf5v/7ZywE4dP4SbV2ntQxCKZtjSenPu8eH8XSe3jiT59mLVQCON3vU9ftivRbHOBgdym1jxYQK0gx8VjWm26odn89XO5QKmmxzPC6pBtVEoUBFE77xgW3z5Cg9TZyPDLdYjxk4mR4bppQGp3pvpXyZshbhDj31GC3dw8fGJ7jnlaIr+dl7vwzA4sJlXv/6e2RMCgU+/Zn7ALh88SLDIxJvLWrxKAotS8vK/7gqgRolPijaI/Lz5i2STPuZH38Hjz/6IAAbZiYxOdm7Ws0m4xNy6Dmg9CIvV+bJJyVes47LA18RXZ5yOcd9XzzB9TOrSVIHVHvRRlGyZ9vIvyr5AhB6Lq/58Q8CUBou8N4fEX86OhewrlSuoaxqVJoMGT1ITWYylHRtmhrLcGpOns+znZCGPu+oK3/vOk6yxO8ayzOme10riFjWpNYOLWqfrwdkM+ILjW6YdK7eNTnKGS1Ex1vWdClLU3Ust4znqKn/ZguwZ5PsZc1AY6Jmkyuqc5TLDSdUnk4vSJK3cVcxz4lox/TosMdVicJ43UhEKunLHaaJDhv5yd/ZKEg60MZ0e8dNaUzgJokK46QFpXQdSJOwhrD/C7levcuMkXGeniqzaZMkeFqdgF179gJw5dIFXv9m2RdefKucX377P/888BoATmQ/zfRx0Qd+5uLlJNnt6lgP5Qpk9f7Hsx45LTBPjsKpeXlmR9td6loIsr2YKghdTcLvHC8yponzlh+wrDI2W4bEl05XW3iaNPMjkSYB2D01xhnVoC2ob9+yfTOPHjsPwI7pMuuaICoNe2zWoubxi/L7LTs3cvjJs3JdV42/7Xs0fZT4pCifvnfbjl3c/Zo3y+dtFEDD5z/3OfYfkO6xi6tNFi+LTuq2LZuS2PTYsaOJ5l5S2IEkSdVqp7R729cpOInjvFyS1DCOk3Q7HB0do6aJnmtuxsHRwqejiXTp0hefx8E4muBJKPwRd/0zWZdGJsr85x/Tfe7cZZpxx3NtB1zOFymqbmPOOniufNa2McORSxJfPVM3NOJx06KbY6CqFNTdk8OMxXINrQ5VPefFFNcL6y0K2jG02QtpxBpcE2Oc0/3EqC+N5wJW6/Lz9skRaj1Jli1Vz7NdwStDU0rn7xnwY/mZgLjFcTZfEjAA4Dcl7vN7rbRrpZtNYmKTKZHLyrVt2yZU/bPnzl2VmEr0B/12ss7ZXCopkej+RT2cTNwZNZtEaGG3nUjU9CflU0vjXiDVHP0mdl01uqy1nwM+95zXfqnv59dfz+8f2MAGNrCBDWxgAxvYwAY2sIENbGADG9j//9j/K8To/78x13EoDxVxjMXX6vGVy5eINOfX7XYYLUtlbWpaKi0jwyNJSvAtr9jMkAp/B1jGtBNCO65mdjrMKBVtWzbDQlMypCeX2qwrMue2HRs5tqwddDzJihZDQ0MrIV9fqrNzSD6jnM9RUPHH2rxkfDcWCtRIqyaHLkmWtuN6zFUENbFXqYIbb7ubOHv5QmgugCcfParfNUmEVBMXly/SbEnFvJDPky9IVbBWkwrG2NgYt7/0HgAeeuiL3HXXG+Q+SgVuuUUQPSeOS0Xw2IlzTIwLWqvd7lKtyOeOT0zy+c/eC0Cv2SLQ7PV9X5DcZrvV5qnHHwXAMWEC15ZhitESRq8xR0uRP+12h0wuRnlYguDaiqpebRYRHO6DijuZpOolnI/n/k2aQX7zy7dRUIRLvdulqJ2icupXWT+gowiBjfkCq9rd8mKlQk07Vr1210aeUVpQTP8bKWRp6Pc+slBhq/rTaCFPWYV8T63I32wqj7DY1A4zPnzjtCDFWljOqxD+nTdJxt4MT3HylPjLzbfcwY+9R+DLX/j6X7NwXtBfJ47Jv1OjswTasKDZqLNxi2TwKysrDKs4fiEvVYht27dw/JgIzNvIJmWd8sgwjonRljHMuUtHmzE4noev6CoRtIwRFA5xdcrRSlkU9jDEyLb0MYR+mFZnYhSXiYgRCsbpYRyplDm5DXQ6vRd4ptfC1JeeK474ggKiepnGS7rUfPsrd9DTjkGVdidpiODrffRaLRT9zJ5CjnWlVTxZ6dLQivaLdmzgyKLMI1cRJkTQUGTik8tNZhVNl895SffMun7vTDFHO64cBj6HLitiKZtjQSkfs4pM/fqF89z9Gl1rN+7g1LysY1fmTrCxOArA0uUqQCJMLEOQY3FZ1pBmdww8Wes8pd+FUSo8KcMXVw0DjIlRAnprQYME1eRkE8RX0F0mqW5GYSq67YofEErFEcD61eQDnVwxEbEPtDOn9Tug9CtjI9Zrcj25XD71zWvPhEV8xcfL5hJh2W5gngMTj+mXKSQ99rC7b9tEtyfrTSvyySiyKu6I2W5W6el47hsp4WtV7tmlDk1dm+7at4nDy9opTJEHZS+Hr9Tsg9UWs0UZ23Imx7JSObu6jm0q5+maGFXR4fSa7IFBxeOEIrpmFKU1tnU7zxx6GIBbb3slU1OC6HrsiXvxfe0quhJ3BPYIIq0K23zaycfapGJrtSJpQ4uJu2PaIBXWRcXZ5X/U0iYFsl/1N5KQ16PIEToEYKMYSRYRBXFXIFJKoONdVe1OPyxGT/XBNIzBmCz2WrU2e55FOJ6XImFjCkJyVTpf4lv2MjhK+XvN7TPUlVYYhDah27laKW806+hSQsnAugrIL7csV5R2//q9Gzm1ok0OsvFXOfT0+46sthhRCuJQPk/V15iuKtcwkc/R1eecNRGnFqsAhMbjwqqiFWfkOYeuh6++X2/6rCkVpDyWSdaWVk2Rm/kWp5efBaC9vopB9u7xiVmGxoQW+MgjhwAYHpnkIx+Whj4/+APfl/hlJgM7d0jX6IUF2T8jG/Bc+p5YugfYKEWs/tAPvSN5/dveJgiWO+54Gffffz8Aa6sV3vzGuwD4lz8mxIfXv+NfMzsje3E+t5l3v/vdcs/1dXbs2AaATqnrZEEK9AlJEfCRo3tw3zzs6w74xjs2Jd0agyBK0L69IBYy9hMG+dacR1MRX2dXOsnPB3bMcnRJxt9TKqFjDXG0+Mxqm2GN9Ydy2aSrmV+RNWQy59HRphA9E/HMFUEzRF6GSxXxpzEVfy6OTbE6L9Ic6003kSEpj2QV+QRr2j02my2D7iG9bp6sSk30/OBqdBbQbDQTys5VdEUZuKv/TTqnxmtxzIaIcDzxgShqp3L1Or+Nk6JYMSliy2oLpqvNYGMRb8e9GkB2fYImXNdlbHSE0lCepSWJN1erHS5eELrdyNg0Oe0k/enPfAGA/Tce4C/+4gMA3Hlzga1FRYhGDlGyNilToN2koY0CtuRcGoqUv7DiJ/vcy7ZOcSz2pThsioRmBnBoucW4+uNwPs+qNtiw2rhnPJelo0inoOvz7BXZ20LX5XJFzlyTY/IB5xaajGgMVW/2WNK1aXg09aWxCUG2HT92tC/Yca+OLRO2ien7J0YmJ//BErGyIA0yluYFubV71x4++dE/AGD7/i9jFTlz8vRFNitC0VpDqShrYb6g0jXtFj1FvhksUXwNxusD/MVIKh+jiB3PdYkUBV1rNK8jdVE4+sZ4oJ20jesR6jptTCbpfpwAp63FhjKfX/viCTKxJEJEElcFingyQY+qUvP2F4vUm7InXlzp0lAE8g3bZji8KHteTtclP4iI9HsPrzSY0HBkrFigphRDX31polCma1IK4bOXxZe8Yo7zy/Le8bJcz8XVRrLvNtodFlZl352cyZLPiS/VFpRSykjqMtYl1K70JreJbkf+LhHwt2Hf1mXJxp3cM0ViKfUb9+8DYHVtjbVlQbDaFKwM2BQJGHWxGnc5Gjs5mWKy1hjXSfYJ4/Z1hk1cO2VluNli4vsWUhbQN7Hrg0Ud2MAGNrCBDWxgAxvYwAY2sIENbGADG9jA/n9s33KILozBZHJs2DxCVat4o5Oz5HJSqZ+fu0yjKZWVkyekfWouWyCjul133XITP/idoiv1B598nOlRqYQsqmBuO4Atmi1sRhGbVBzz9EqdG6dGAfjGxQqhortiEc3yaJFNQ0X9rEZSxb7/2CJtbSu7QVsWj2YzOFpJ2LxpmONX5LsX6g0Kmp69/6ygI2Yqf8XnviKoqQ/8j88kw/DX936M/+cDIix4ZU6y9fMnWkyMiU5OZLtMTG7UIXPBSMZ2i/Jqs16GlWWpUG3bfgOra1LN6nQKFFQ/rNGQSsS+0RuYU6H5fD7P+Jhk9zMZj2lFzV0+e4yLqvHkxxx3Y7FatYtsmJZKSOE4SeHbMaQaKJaWIukcx8H1/m6xuf9jMw6OV8RGHbBp9T7RdOlv6dyX4Y7bNVfXu7zyJTLmZ5aWyWub7KqKgsy3u+wrarXS77FR/enCuTn2qn7Rl0/MYxQNELc49gsZRrNSkWj6AYFWHj9zfIlmV947PVzUv/GwWrncMFrgidMyL1oYMqohcN8RqZRNjFb5t7/4swBs3bqRxw9/LwDtRpWPf060Pl72EuGo/8gP/AwnT4g+wPve9ycsqA9AQEkRZh1tL3/ixKm+EkmKsFqev8SW7eJzcwviT8aQIrCu0hqwCdpAxJFjfrb6hdtf8QxiYAuhH0CscxHn7sMgEdiwNsCoGHWpGFGv1/o0e66dGWJOuUnb7RqScTGYVEw9QSylFbpKtcnt+0W8eKFaI3RjHr/cWzu07MnLPa3bkHJZ0HSXKi1unJB17BsXKqD6IZ5+71C5kApFNxpYRVd94uQ8XUVhTioCseR5BPpM944Pc3pO5l6j1SKna9MprUDunhjhvvu+BMDmnWUuLsrznS1OcO+Dsp4kekCRBUXjYSy7Ff1w8fISb3iDoEkfelB0cMJup08yKUxEhLO5HL7Ok1DRGhBBqPoshSJBW9CMOA5upqTvrSQCpMlwezlspOuKCZO5H3Wb4MWowVhHzYUwUTYlq22yd+3ey/KKzLX5889rKPz3N2uxQUhAl5JWVK0NMLrXddutPt9Si9KK/OryMm+8TebyR756kiVtt37srKD08vkcM+pP/sQE00PiQ82VDptHZXw/eXSVV75EdBYvzl2S95oajmqWBUSs69T7ytkrhD25kmltn208S0PFmHfPDHFlWd58pVPH6H7w7Ir4TW718/z0v/41AB556isc2C/79Pv+79/i0UflWSXFu6icVIhlwU4RuDbS6m0iQOsRqY8Yk0t1ueiD4SWlzhRJKiCueL3p1yhJEavxy17OSdYj+awYsWoS1Ffo9695/YK98n17993EpUvzdOprXB9zwIRpEw/6y69OMgQmSpECoV57qxHxva+T5/Enn30Cq1XvlorLO7k8BVeex3LYYbPqdS7OVbhpchSAb5yvYDQeUPk7RoZLuKoZ1+m0GVWNri+dWk7Wpgldm4xrsIrK2TSeRwGmrPV65FRjcLktfzMyYlg8JW/YsL1MpA0PRopjbNwnOogHj4pI+8LqRYJmWm0+cOBGAN78lu/ms5/5kHzuomgOhmHIpq27Afj4Jz5BNif7ay5X5GsPC3TKJr7kcrU4e4xwSp+BzF8Zwz/5M0HC/+Q/fwvbNk3o9bgsr0hFPwi6HD4iqOn3/MvflzFrNxgbkblWGirzh//zjwF4xSvupFAc43qatVZL+Or4US9BIzrapAZI5h5RlKxXjYbPO+6SZkitL7ZoK/orVK1RPzC4qnO50PXZPiKMhMVqh5tn5L4eu1QjUL1ER8d2fKSEozFUq9UlqyLk959aoNmT90yXxZ9cxyQI+n2bypxfkM9a67TxYsFyRUfnMoau7otRphjLklHOTfDlb+jan2wRLi3VjBseSrUibdTsm2+qLRajueIPMOncS+POPq2upLNF2iAFDGGg8bKXSbXRrvqufqRPjLJIWRYp+t3BJhqFaRwj1319cBGlUomX3nEnVy5fYH5e9qbJyXGG9TmdOHmJlWXpVbZli5w33GyBH/6RnwTg7BN/xTvvkrNO7fN12goXbXYVEW8yDOtav9TrsWkkjrFWuVGbaTx5qdanG6i+NDpERmOedqdLJitrzFdOL9LUdWiLxvBBaHG0odT2qRIXl8SX6oFlRPVxjy/Iuj5agguLOiemhohUVvbWG25jsSLvPfv01wAI2xYb9msnJpAc0lg4XmOclDXTrwcLHDkmZ7MRZWJcuniZ2+6UxhDvfve7+K3//CsAFEc30gvlOTtenk5b/Oru14nG1xOPPcbaqjyjn/iJH+Ezn/msXO/588n3xbpeE6MjyTzp+gE79twAwOnTJ1K/ug4mYLYeCWrauHiZEf3ZEGpjovhcYW1PtFCBdjfiTS8RJOx6vUVV0aOeIpr8wCUbqg5Wu83GGdGPnq902Tcp3/HI+RWsot7qep+TY2Vc1Qu0HUtGdXDvP7lIQzWVpzR/4Lkpi2jz5AjndF1arwd4eVnPTqzI3rZn8wSnFIkaGIdI14+CU+JzX5J9A723rOMxPCkaj/X1JjtuFv1JG7SpVCSmXFySM14UdJOzuw17dNuK6m83yRRk/X36WWEGDZVHWFuV+WkcsB19bxRgYt1SN5/EaE5O7jPyW8laZUOnr9GY6UP8ufqMbHIelON3Rq+9i6Px+jc70X3LJbqiKKLVaFL7/7D33uGaZEl55+9k5mevd+VNV1dXm2rvxjDeMXiGwYMArQABEmi1LOwCQtKuBCuEHDCAEAvMCAQMIGAGxnvGT3tfXd7dMtfbz6Y5+0fEOZm3urqnYW5tdzUZz9N9v/pM5smTkXHiRLzxxsIyrXVRwtWVmBEtratGVbpK/m50819v1nnta18HwM4bb+Rb/vXnAfiJ79zD4im5Qfv1+IcTy5ElOe7WgSpDPX0oAkNHnfhqrU5XN1zLahynKjUqCs0brtc4tSgLZCWEC7qYBkoqd1O1xjZHbozlhl2ivOl0xtE5sXrDAwrRH9nFim4w/vwvf5lv/Zb/A4CotcT58+L0XJzW0sc4oqeL+WAzZGpSDPqxo6eY0NeJBqFOnjjCoG5GwqDPyBYJ1szNzbKsEMsDN0jpSGAMO3bIA/LYYw+wc5fA+c9PT7MwL5BFopBuR+Hcakyv2XcNhw4JVDburnkC+mq1wsCAbqrW5aFYX237khJrEyrataleb7CyusSVE4MJapiojlsw0vZiHvQqdsXSTpumGvkH+KNfusAdP/A/APil//W1rCt8fZtujM9YOL0qc74QwWRNN2wYVrtyvjCqk6gzOK+GdWxsiEAd5jCzPKVlr3ESc15JDbu6IblpYpRtugPsxgk37JT7utC3XNBnoRrL9ZxeXqJZl7H3Vmc4dULKLPZNjTOsJbsXpyUo9tnPfJJHH5UFcubiTO6c0yaJ1aF1ThwG19HOmDD/rk2ZnpbggyNrtlQKQYTYO38SfCqUCrkNZ6GLi/U1YgabLOub1pdz5cE2k++KgwirgbV22zA8vJX15SsVPBUHJEeYb3RejepVTn6eEWiX14/dd57XH/pLAP7dT7ya86flPuzWgMC0jTizKPZmy2BAUtcgssFD6SvVKknmSmnlu+O1GjWd+/Fag9PaPbFuAma6jsRZScRHIkZ187rc67FlQu7TSFrj8IVlIIfg3//0NFFVPt/SaNAZlvNurTd8uarvtGgtVonPMRGnlWzVUqHZkLn4nu+WjmHvfNfvXzKnuvlJA38M45au0GJdR71snVCDQNZCGq/4eUfh0vgStkwmDkQHfWC7gaulsrqYEkJdn5nh0QkOKEnu/PyCL9e+EmKMoVqLsMDKijgzURiyZVxs+VLSpdNVwt0hue71VozVDeInv7jAjd8rc/k7/9fXEGunnp117XjZyxtenFvocuPBlwHwyIlPMqPEzf/4h3+Yh74k5edDWk4RdmLqurntr/c5vyaOWMMEnNMg24HdMkfbg4zjR2WdWohjhkZUX8Ka7362Q4O0/+k//QG/9c7fBuDxRz7FvJa3jlfrNBvLcn0eWt8lRIN/aZYHwOj4JISbB2wiJQuIw5QmLugVEmiiyumQNLlQO29y58ra7BLCXRewdmW1tRz2Tx+/aCTWk/vmgfu8BCiImmRaVnHixAlqjeGN5SmbKlrq6smm8/+LXXXrrysnMFjtaHRhrclbfvIvAPiJb7+Z80q3MK4+1nI7YVE34eu9PkNN0asUWNLETK1aI9X5WtfGBuPVkAG1b0k95fySnK8ZhSxogD/TjsH7RpvUdGrWkpThpq5jnYDTc6KDg8Py3umLqzS1vGOwFjGuBORDQYUzp8VB76duDUiJhjQI1R7mqafk8+XVPyJV2oTZGfETr7vuJu66R56TY0ef5ty0JBnPX7hQuG1OR4uli/nmxWyoVjV85/f/bzIXU0JG/73/8P9mVDf5e/Y8RlMJ+M+tr7O6Kv7hvG5IFpfX2bFTEkmjA3W2bpNAwKGnHqHVuoKUD8ZoSVyYJ3WiPHCa9dcxFVcm7mgFQi1LgY984Qwv+8dCAP0LP/ZKzp2R+dXKU84lsKjDX6nEjOsxYiyL6kdHlSqBPnOOVmSiWmHQJVSrcHZR/Pd6GHJBffVU9w37RxvUdCe+2ukxpbrTW0k5qw17mrq+nZ1dZnBQ1r2JwTp9DaJM1msMjWqDjFnnb1TZtlM2wGuLAbHrCrahhFmTd0HgS29MOJB3XTSGZzRHCoqBpsyX6WMywsDZlBijgSrXXdXG6wQVCRSK7XFJuNBbItepWZqduEB4gC9DyzKlldj88sVOt8uhpw+xZ/dOKlVNuNUjfvhH5LkYGx/nu7/15QB8xz/4OQD+2T/9cb7v+yRJW63t53t/VfZ03/facaZPit80or7WdJIxqw2/Fiox9RHtMGcsc21tClCtkjnbpLo0Foa+e6zJMs6o31QLDRe1Q/xFtVEHxgcZ1HLW9X7MxLCWMa4lnNOO6MOqP6fmlhgeEZ2ZaNboDsoxZk6e5drbZJ/6MU3imBo+0Wczcl3YUEp6mb3KhpL43PasrC4DUi567Jjsza699jH2XyfB++mzZxjfIet8MjzIvmslydXXvd3bvulrOXtWSkrPnj3Hm9/wGgB++/dO+c59br2Lu2ve5w/TlHOaKLeFpkKbLtYKj0QQQOBKKBO/L7BJn6gusQL33GVJB6vBqw9/7ix3H5ZGY7/0469ifUneH3Z2JjQsdWVeF22fAUe2HgYsqS9WqTc8EGZd582Ghoqu/40o4uyC+uCR4VxLxtHTBPI1o4MMq361ejHbxrT0eTFhemljee3J80vUtUnC5GCdtvrzAyZkQPWt1ZIAbT9LmV+Y12sPOfyUlOvXG3VPJj80JHZieX7aN4ojyH2WsDZMpjp4/NBD+Zz7vZrrwAsmqlKpi28Xxz3fU6ro3eS2L/RdGYPwmWWt9cagzxHEcY/AE9sHhT3hs0tZulhKKaWUUkoppZRSSimllFJKKaWUUspLQq5ORFerQ61Sp1aVaGAlipjXls4Dg00amtVvdyRjvDK/xF//+Z8D8P73VbnjFsl63bXzBuq7JZL92U9qmWNgeFrbwa7GDW5UqODWgQbKjcrsWostir1f0Yz+o9OLTO6X415YT5gclGzzF84uEWu0sxtIVDhstRlXiH02k5AekOzPbdc1udBSZI+WDfYvnuQ6JRv92Ke/yLd+i4zhv//FX7KkWUwXADVZ5FvctlstMs1oNAdqPPnEgwB8zdd8PQD7r72OpSW5zp27r+HMyeP63QFP9pkkklEfGmxy+rSgynrdmNmLguI6feo4XSWxI+l6QsNVJbyHDEV8Mja2jUzbjm7fuZNuV8Y+PikR5FMnj5Omoo7VWo2ewjmHhmtUlNCwd6USlCZVdLcjpx0hVagmppKHoCsyplqt4mHshCHX7B4F4OXXjtKekPl//GGZo7iXcWRB0BjbBmuMDsuETA7U6Gk2cbHdYmtd3l9ti5I9dnaR11+3FYDp5S4TA6LTnz2xQEvbJztY8HXhGnVtzNDoVWG//G44C5k/3dfjSmahFoXcpJ8/dvQCsWYkLq5a/pcf+OcAHDkkz8Jv/dffAIb14ru4iQjDOivLkoGtN+Tam80GLS037ffg1a8V0tzPfPozRHr/Ml+umpOyWpv60gcTGE/MbihE9T14wnrCwjTtgtHSjGwdApcZUNRE2lOkDpC1NVMJSRDR6tZJs83PTILRMoMirDwvhbI280g3cymRKPLTa3ZKOeJduwe5bYtkN594SDJolUBKYQFaacyWYdG18WbNk0MvrHfYUpPXSwqlP3RhmeG9ksW60OqzdVDO8bkzC7T1OQsU/ZKtdtiiqNDIWvp7BD3UHBhgUb97dlbswuRYk9tvkxLEC6trNBQh+tjhRdorLjujGdHAgKK7rO0xPDQKwNzsDA/cL7bp9tsle1ivN+goZN7ahIre0zjpehsSVuUa0t4iQUWOZUzkkTlZf82XfAShIXOtkrMiki/XgZoStY+O7WRByYoHFREyPDJEX1EEa6sdnnryKAC790yxY5eUTMxdgcrFIAhoNBqsrK55RFKl2mBocBSArVu20VKUVqRrS2ojTp+ZBqCbLHH9tfL8vmzvIN05QbjNaYOArBYypw0izPoaJw89DEAzqjKsZfpPHDnO3msPyPc1LTa7soPBrpQ0T588x5giN+47v0xbbdPDut7ccOcr2aPoz6gesaqlHhPjGUuKdJ5dlvXiZ37+n/OG10vmfnXlZo7pdZy50GVlUVvGh45ovkrg0HlRAN0VN2kEOleNpuhIliX0elrOaGsEkYw3S7s4HXCZyCzt5RzQaUJQzQnbPSdwmniSVVcCHZiUVHXPhJUCIbT1pYsOYRZWGmSKKsuSFo60OwoTLZu5ArbJCKJM0Dd6/MxiArExYj6K5XRAkJd/nz51jv3XyFzctL3GNeOC8H7yMVH8yMCclsYOR5HvzjBUqdDvy/FmOy221eQYXUWgHp9Z58Ztcp/WupZBLTW7cH6Fjtqbmpag1rsxI6pLu5sBS6NaNjhSY2Fd5n6tJ8/36HCdsZGmvheD2qFTcy1MpAjQRBEvmQV/jzImx8XfajQijh0VHRzWspK77rrZI3QWl5bodh3CNEe/UFy7fLlFmqMKbJqjjUPDU4/+DQAHb5DnbGRwgEBRER//6Ic4Py1lk1FU47DScTQb8hxcf+NB/3p9ZZEhHedjx09t7IFyRURKEd3aQ1jLu3KEYFPXGMahtAv0FMC+vTLPt+8e5OBWuYanHnVlgBnz6tMM1AJ6ik4brVfRqjFm1lpsV5Lxnq51R8+vcscusXmr/Vyfzk8v+bUuUl2otns0dD0NSMh2yFoXDlT8uWe1yc9Qs8b114qffm5x1UMqjlxYY0WhZ0Z9kGa1SaMm15Y2e3Ta+nkYkSMoXVlQTiovSEqdP2tyg+OhgjkZvQlqnri8WAadZXmJoUPW2CwkU/SiCWoeTWMt+bPuT2V9NYM0f3HvG0G62txf2SwJDQzUDJ1uzNqK7OOWlkJPNv+N3/xN/NJ/lmfgxpsEKVyNvpGVZfFDLs6vUzHLANyxZ4r9w7ImP/jAab0045Fbzarx92OyUcMBsi+uttipFQ09RdMcn1ljaJfcR9ElebbOTS+xqnukAS21jtY6DKn9G0kh2S6+6eCIZeZpLT1ri08z0qhyYL/q0sIqRlFjR88t8akHhI7GNTshzSB1ZcDGrxUbxFcxZL78yxZbmtjgGd9Ns4y2oo0+/KEP8ZrXvkGu+chRnnxSbMzuPddw+pTsCxtNuc63vvXN/OiP/hAAP/dz/5p9994LwCc+/nHe9FZtlqYL6GqvB4msu9WBUV55p5S+f+m+++l72oFNFmO0AsT48kGMIXObJWtJ1VcIa0qvEIa+WVUWr3LwBqluumV7jRtHZU//yCNalVKreVTVUD2gr3ZitBahasPs6jrbm+JP9LWy5/jMOnfsGgVguZcx1BBdOnN2kTVngwbkea33YgaV7qhiMtgpulQbbLKg/t7syjIAY0N19u+fBGB6fsXvsY6dbbO24srInU1p+MoGQ0jSk3lYbS+xXVHBMxdln2+spaLz0++u5nplMwLX/EnR8KSp7JMRf92XsicJcXfV3wNfdO1vvSV0e8M0xmr1XFpp+t5RTpd63S4//dP/p7zuW979J+8GYGHhot9XPJeUiK5SSimllFJKKaWUUkoppZRSSimllFJeEmLslU/7bKoYE1qCQSAgVIL5qGLo9yQqOjk5RabZsqUl5TWpVmgOadars0JFa16v3zPF9771ZgB++gckov3Xf/I5ZpSjZbLRZ6eGaevVCo1rJePz2ccvML8gkcoRx5/T7lNVcsjxSp1KVY6xfaDKKY36TikvxcDoGMtHJSPe6sRYJanbede1zK1pvbaiojrVEd7yddJqOqkf4Fu+VerS12dXGNCMZkc5LOJOneEhiSTv2b2Hvp5vz97rmbkoCJxKVSLXW7ZMeSLOVmuFFc2q79+/L6+r1rBqP844cVzG226tsu+6awD43Kf/hjiWebdprkcuO751+xZmLp7Rdy1btkqk/ODBgzz5xBMyF4oumZ+b4dbbbgfg3LlzXLwomZ1+v8drXvdmAD79kXc9aK29h00UE1RsUB/DWpNzQZmKJ6bERJjMcR4UfqeEpyY0BEpYuee6IX7sW+4E4CfeIBHy33r3l5hTbrfdo4bteqxqtUZtu8zTFw4tsbws0ewhhcBdaHVxDAojtbrnYNg5XGdGo9xTGsme2jrJnBIDLvUTT3q445Y9zKzK/Tmv3G+zSYuVrmRyzs6EPPqgEhbajPExQf0sLuh7ZhybuOy/4zuC0bEJMiP3bUiRi0FY58YbhOnu5OlzXJxx969PoqgRF+m3NiNQ5KHN4g3E7YHjRbKBvx+Jtt81YeSJLjFVbKaEnmm7AKAqZDk933ueHTVBnUolIO5cIEt7m5qeDMKajQZ3sRHRtaEiPf+3zTNvLotrwtjXrO+9YYJve41w4f3S9wlvw++++zPMx842xQwr39624QHquyXr87knLrK8opwQSvJ8rtX3ujRaqXo0ypZ6xFFFkE4o+m1wdJj4jKARV3oxqer5jfdey9kFuY/n5wQpe7HXItQs6MNPrXLkaeUljKrU62Jn+voc9bpdYEznqcFrX/NVAHz6059WZI3jBAFM4GfNFoi9R0fHyVQfV9dEH22WgOMDo0rm7JFdJ2pI1jTL+mSJQ3I5vpgaKIGvIP/kuLff9RqfKa4PTOk51j3Kp9Xp0VeOhvmFC2zbJjbtwqnPbrptCqOarQ/toNfvk6ndiAo0HEF1goG6/Ku1LmPesnU3B24UO3ry1HHMiAz8jrsn+PG3vwmA2xry3X/72x+iMixr2p17R9k9Kq/3jY+y82V3ALDSGmBebdP8BeHYqI4OU1fumve++/c4cFDOF62e5bMnBQEzqWvznl27WHtaMsRznZhMkdDX33mQY2fFRsytyPFn7Brbd1wLwGe+NMsTD4keJnFGpmsZgZKXxhVs5giUm9hk3U0KA0pe3u3J51nayclvs5SgUtcZzLlCXAY9y2Js1tZPQ8/tJ0jMnG/J8eC4XGGWZZ5UnUIzCptZz+eY8++GHmFoSJ9JzBvPYrP+ptomE1RtWJ9y/5Axp90CcrbqbWfOiWhBW6kHgSFS0td9N4/wA998BwDfrNnv3/yzz7GmaKv9E1XG1dZPDTXZfr2gvz73xHlm1W9qqg260I6pKMpgoFqlqvrcDELOKIpnq2aOp8bHSU+Lfi0kCV0l7GpMTtFSZNX8qty7BdOnrT7h3DpMn1J+pm5GX9HkFW3E0FmPyWLRfZul1BV1ZsKmR8u/7VuEP/DMmRnmXROk0RG+8DkhkDcm5zFxaB2ZN3fvswIyp7g+WP7Xn/wXAPSU92lxcdHza83NzvimCm/75m9gSpv//N7vvguAifEhBpX4f3hoiI9+9CNyTe11VlflmVifv2/z/aawasP6to1v2gL5vk1Jdd32/C2VZo5UMdb7AzfeO8E/+oa7AfhnbxJe2P/yPz7JuqLsdg1atqnzNdKoMrxX9PgLT82yuCxr0ZDqyPl27Juw1EzgUajj1QpnFDmxVfV86+Q4q6dEny4mMbGiw/bu3sWMIgSdPp3rrwv0CHj6dJejh8WftnFCYJTo2ub3NzKCKtsytYtU7dT5c2dyxJtDYRVQpWJe9BhhjUD9aE/YTFJopGELQK4C2Tx2QxMOcM+5+j9hZQPqJ+cYdBw7YaERDPnY9I20ewqbdjbVNjUag3bfdbfxy//+l1ldl3X6J//3n6JWE7THHXe/jrZWULh15y1vfj1/+mfCZ1qvQLsnelAfX+I7Xi/NJL77NvE33vFHn2ZVq0X2jATsUL1rNmqMKGLrS08vML8k+jqi/vz5dkyk19+IIj/f45WAebX7O3TPNzU1wZLu6WbTxOvSjl07OK98sDOKBJqjT6ycUBdXhzhxVHyZ9nqf2N8POVfajbCpQ6wU7IYl92k92gbMs9iY3A11fnARnRcwOCD+/HqrQ6TIxMBUmJgQ27JVSdcnp7byxjfKXnnb9u38u1/4NwD80A//ML/6jt+SebsgqMys3/ZjCGoNprSJWa06xNCQ7F2ffOzDm2qbTFizQX0HZGmOurZQbP7gkOCR8kcBpD3nT/b9mn/9Pbv5wa8XBOGPvVb8kt/6s/tZTpwuGXapH1Cv1RjaLtd035FVlpblXg9oU4vz610qgVvnatKcDWlMd3JNdGG7oscnxsfoK4ftbD+hrTyYN950gLPKE3dhTmIbq1HAuqLVD51sc/zpvBLJ7Usd4snYCqmuMVmW+SY4W7fvoqMN/JK+48xeJtBmaGF9RO8lRGFAv+saQTlD4dCoEEQ1aewGmKDi10IT1T2K2RXTmCxm+15BMa8uL9HT6rA0E/5Fee0qdNoEkdy3H/nhH+HctOjYhZlZHn70MQD6K489qy5ddaWLAt+MwGaksevAZTw0fW52IYdyqrXodzv0e27yIdIb9Pj8eX7+mDjbpy7Ijf6Hb7iB5bNi8KbGG8RqeFf6fQbm5Ea89tU3c+KU/u4pCeTsGa9zRokv42rKhSVx6O7YfyMjaiHP3CfBiMV2G7tNH7L1ZdpKwHh6uc+Rk+JE7duqi+PcDL/wjvcCcP+XHqe76jpGWEIjyhBGjhAvwhglXR2Z5IH7pAvQykqL17xGOptZdTQW5ucI1aEdGBhmWDuRjE9soa0Q23UtRdu2dUtOdpnFvPc975HXYUCknmCSZQUItQZldk6yRUtgKtWqJ5hfWFxiZUUNi96rfr/vyyCbzSYTWuIyN9f1hLBXREyACRuyWOh8GBOAzm3WaXvicKObt8BkeQwliPx6curwEv/iNz8DwOnz4rB99cEtrB+Xax0ajOioQ76W9hlak3N81csPcOK0bOrOHReywJ3jdU5ox596NWZ+UfTw1v3b2KqdFE89IiVUp9stQtWn/vICdlA2cqdWuhw7Ice9YZcs+ivzFT79RXHS4naE1cBJUKn4crGxKVnUlud7YJRMMRgiCuV5y6zxZbFbdAF86tBxtm7TQNniBe/EZmnmn0NbWHhdcEM+0+9m1pMihpU6aPeXel2cxsTmKNWkdS7fOARVcMTThQ5FFS1Hi+O+QPKRsqE4cQGUKyAFB8T92z7jC5f8dWOxAUad8LMnV/gvFyUYPLciTtzb7tzJ2gVx1oeHqiS6QC5kGUPqTL3i3hs4qcS+549JYGLnWJ2Ts45INWFJO5DdeOteblc7c/wxIQxfW2/TnJAgVXd9FasQ60MzPZ46LIvLzXtU17Imv/9Bce467QTXVTGOLUmqpJlql++8+5UcPnRSP0+57TaBsS8tLbOyLM/HOW260e/HG+bMOW+DzSbnlQg1qGlJrU18+ZgBRkdlvK1208PjDRm4sjIfSO357lLV+jB9LVV+8vGHuebaGwBINGjW63QYHJbnp9mIaKtTYG3CxZmzXCkxxlCrRPR1HACZjTChzH+WhbTaohsDw1KOfGFumU5fygZ37d7N8JTM0/TpZf7pLwvR+3e9Wq5v/74Jnp6Wa3n69BozFyQAtvNt382xJ6VkoZvOccs93wTAmcNCXvrkk/ez8yYpWRjauov3ffwTcty33MZrbtkLwFOqT9PnTzO6S+xCsLAIdbk/J5ctsa5VN+xxNZEpH/ibZQBOPz1L2nflPeDB527nSr3Q0MJuaDLQWpO1N6rJPTNB4APkYbXhieRt1ifQtddt9MKwQoaD0yf5xtym3oZYk28snR0JIgM++GWwOs4giPAc9b6EJMF1FbJZr7CxzDYETDZbLKE6/67Mu4JN3Ml7fmOcb8YNzkUcaDTYdY04pUeOHeLf/qaU2z3+RiEufsV1kzxxalkOVYno6bXO9BK4KDr6htfcwpNPy/Ny8ojYpn0TTU6q856ajNNz8voVB3dzyw7R8/NPSgnS6elzjI1rOWp/lbQq92m9ajl9Xhz/67X8LF6Azx2R9zorGWlL7x2pL7lIe67jU0GXgoyadjg9cMONLMyLLV1alNKV6264lvSQ6OXDD33Grze22J3ZdbAzJm/OacK8IUahXN+S8MRjUjJ88+0S/K/VOlxzjWysvvqf/1P+6I+lCcDwUJOt2+Q5ryvVQbvdZWRUzpemCW/+6rcC8ImPvY+Dt0gp+Mf+6j6ujBQSNwAm9c8RGP9sbdRv1XtS/9unH5nn5858FIDj2gjnjQe28ORpuX+VRp2eliHNp5Z4QfyiO2+7lvMz4i9PH5V1Yfd4gyPa3dlWIxaVIPy6m3czqJ3XFp48BcDZU9M0x2WtCzproB2zz/YSjp4SP+xeDeS2ziX8xX0SFGst5+XNpJAhOhtGo3LeNKExJLq5a88OHnnoSZ0R4+k92FDWmfnXJqj7qc1BCEV7kJPV53OZ3wUTRLl90zUvDKs+UWKs8bZHdPDShj/asALENyt2gbxCTTL6/ZjTZy7yVx/4JBXd1D/84AN87vP3A3DNnm3cc5c8D7/4H6Wc8Z2/97t889u+BYA/f88H+fqvEVL0M9Pn+PBjoh/HT8t6de91Uzx2WmxQVIvo6vx00xSUYuGu2w8wrR0fp9Vn3jVW45j64AbLkusefHA3Y1rKt35Y9O7MyjoD2nUvWFsi0YT16VbC0dPLANxxraxH7QvLfOQJOe/ePRO01pTmpB94E+x9wrTiX8v0O1155hpRqGDdqDJWrmDDB4XSWENAS/d8kDE1KT79rbfcxpkLYv+OHhN/4OFHHqK9Lj7Dj/2TH+e6G24B4M1veC333Sd+x3vfL89Ov7dKqLY0S/rMnJPnx0QRoXb+3nSxFpu4ZKebtxB3/UFQ84Fg93hJV9i8u5+byCMPnOZnNT5w5JT4Rl9/yySHzolNiaoZLe3wudrrkKyKLbnl4B7OqS7NnpHf7Z1scPiC2KXAwIqWvt5w415Gt4p/dP4JmeOZ9Q71EV3nWougJYTHlrocPSrr5h375TdHLqzysS8oKGa1j9F5NQSQ6j037hmvQeBKtY2ndgijKsMjops33ypJ9dMnT3P+vOj2+vq69w363XW/jtm+PhtRtdC0J/X6arMMqyWjYRATuliBvpcFhtnzsicgqPjyUhNUsEauI9RgXda3NAfEl/3DP/kLbjggoIper0ukCcbnKoYtSxdLKaWUUkoppZRSSimllFJKKaWUUkp5SchViOgCj+ry7S/z8hYRjSIqgiiN+/49m5ETqAcBybrE+h58WqLNv/bDryGJJXL/yre/lo/+t/cBsLjQZV4zvdHFLvfeIvDY/ROjAFyYmWdqRLIGR+ZWmJqU9x+YnqMSShR16HqJwl5c7PNf/+oUAOdPL9DQqPfS0hP4yPuG7MlhfS9kZFSOa+w6oUamd26XDP25M2fZtXubXprh2gNSUrJlapJGQyLPXSW5W19b9hHtHbt2s65tqxcW57n5oKCRHtPywtXVZY4ckWjzbbfdxLUHJLN76sQxBrV0bXll2ZOS1usSuV1ZXuTsGcng7ty5g+FRuf5eN+Pa/QIJjbSU5a477ubUacncNpp1tjYkU7y4uEwQXMl4rMWQkWUxxsp8Zib25M+mEoKWZVolwk5JMFqyakwtb6trIFPy0vsOSZbmV/7xy4hjKd15+7e8nN/7zfcDsLyYUplSMt12xMtuvQOAC2OihzMzi9S0VOTM0hoTkzLPj15cIjSCrBnaIvM8u2Z5xx8eAiDudjyCwNgIo8cwgWRZwhDf4ntoYIQklozoyOgYi4uSheila3qAKlImDMaGJIkceGxsjN17RUceuE+y0eMT4zz6uOhIrRrRbsn5qtVhT8hYbK/toK4bEU02J3yOe54I2SE3gwJ6zpgm1rqsaDfPTnnkVh0yufZK1CBJ5XXS7lCth8RXCDUhJRl5jtUWIV2XlD+Byyq57F0VQkVTZAlGGxM8enwZgH/5LTdhUrlf3/DWl/HHf/wpABYWO8zECqeOOtxz840AzIxJBmR2bokB1dfj8+seLfnE3ArVQHR34jrJ4p1e6PL//KFkoNPY5Pl6Y/y9+ctwQd8y+ExYEuXkt/RBnyXX7ODhB+/DNQ+o1xv0uqJj58+fpa+ltI5IeXW1TezISk1A06EXWi227dwFwMX5Vf04IovlWNXGCMNafrfSukgYyfGytEdYHdXvu9KPgNTK7zKaNBVK316f4dQJeZZe8Sopmf7i54/RWBFdq9XqbN8u5UNR2GOtrY1GOqfZbEnTjNW1FmFUx2omzpicWDigRkVRCKFx0PyQlRX57oEbRjl1XFqIDwyHrGqJp/Ya4C13bvEleG97/Z38+h99EoCl1RbTc6KHg8awOCNolvEhPe/WhHNHPwTA7OIyN9wgZKhHFxd9CcDQDslunjzf5+d+V2xE0sv8GjEy0cLUZDxDDbExM+dmPOp3fGicha5kk1ObEjkYPtqEII5oNuW8u3ZtZea82MTFxYt+vUgVxRUY48uAsrTvy8mCqMLWLfKMzMwIeiTLeh7FFWCwrtTVFDPE+gYQuBbmNgBfVgRhKJOcJhmOhtVouXaWJEQVBwmp+mNlqdW15AogJww5CsBDbAwmctdU9Q07POKjgLpZWe1TOS9rE72Yntr0Y+dk3n7pe15B3BcExfe97VX8yjsFoRO0U9JBQTqMr8S88k5BAExpxnp2Yclzt5+YX2d0TN4/trDKYF10s7FX7tHacswvflTGEHdjAs3k1it1hhRx+TeHFMW1sEpf273bMPQI7ICUQc1eryuqHPDPFAS+dDmOY6o1sQuNYfGrPvDXf84bXi92IUnu4L4vfVrnzHrksvEVBbbgx1mf9cbYHBFkDW1Fzp8+9qT/Xb0m+vqBD3yE1pqsy5nFl11OjIud27N3N+f1vuy+7nYee+gBABYXW7zpq2Ud+BhXQCxg00vKpYL8GjG+Pb0HJgVhgSI7wLgqAWPJ1uT1fU8IiuDff98r6HUFMfC9b38V7/idDwMQrqUsWfHDd9e63HFQfNEJRbnPzS2S6eSKPokdenxmgcGqnKN5zSgAy/N9/s2fiH1M+1nuWwSBL1/6y0+f1ctNyJsJWI82D8K6Rzu43xBkDA6Izj/15DH6rnERAb5BjkP3YT3S0wQ1/CAKyEuHzJL3C1UHl/FhxEbpdzySngKCMPexrO37mxO4Jh+2cL8Ka36WJX5932wJo5DR0SE+8YmP81WvuAuAd77zXdQVTX7sxAm+8W3fCsA1+wQxfOrUcX79198hvw8jFFRMGFqOnpR9S/paKZn+J687QLsrc/j93/IK3vF7Ut7LOiyrLu2px9xzu9DYbNMSu5m5JU/fcmx2lVF9/7H5Fca0EVpzmzbPmI/51XdKxc5dd95FVdex+x+4n1jRiO/5rKyjWZb6+zh/8XHfCIMgp5B3SFsThDldB7n/aK15JsCuWE0QGGpagVKrV1ldWyt8ySFvCu+4m25j70s0mnVfstZwTUTiQU5pY7IHHvgifS1123/9Nm66WRCkH/7QBwGITUDm/LjAgKLpbRD5Pfami7XYNFZ0pKKBbJyvwUFEjljMKwGso+sJB3KaCxNAS+bivkOC7PrNH7qF3qfFZnzrV7+M3/x98ZmCbsiKlbnaXR/h3jtl731uQuzZ+ZlFbtR914X1NpO6Jj6+uMJoRZu47BdbdfR8zDv+8Lgfg80W9eLO+Gf6PZ8R3ygLqmQ6l2FtsEDRkHhdSvUeGmMJK6LDlpSuPhPr6ysMNOX5f+Rh8dVGBypUFPncbNSIFD29OLsOibunOc1MbuJDjFJDZHGL2pDs+eu1ukeQra9rxdjSNInqtqEn5Y2IbppE/Ps0lvPWqxmtZdlTT+24TlBmwPGTZ7QBx3PLVcjRFVmiUaIwItUdfQ6XhqhWczaETGtFk6ToPCZ+Yx1VAhKdJFNYxNxmqNqsUdFa0a+6Zw//6NWyGXzV1mEevKjwRd2chSYl0dKv9bU+57WcZnKoQVedwl9/v2ygzp9pszIrN0pKwPwKW9gU+yvOu6QQMDgkyjI80iTuy4ZmcV55dsa3MbVFO+4Nj/DYo2LwBweb3H3vKwCYuSAPXqezwvU3yqJyYP8+5ubEmer3u56DYkQDU0nSpaMdOhYW5jn0hNTEri6vFsbuyiJgYEDmbPuOHZw4Lg/s0NAgAxoUW1pc8EZmfEJLDdKAHTtlYapVK75z49LyHIka/bnph64I10RQ34pN25hIgzrG4Ll8PJYY6eQHZInJF4Y09Q4uoSXUWvecIMriSxmwPrR8720T/MBXifN882CNp/Uejm4VJ3x5dYWuGoRGWOGwvt4yVAPlTXrHX0jp4vSFpbyLUxJgreNoyI19GA35cWWZBgnCEFcL2KjGntMtTjVgETdBebCGhxusrMg1V6oVEuWdCCuORyLzjuD42BBtLfntxXkXjsxxTWQprlwRMs9BsSFcbQJCZ/h0/sKo4uc6iVv5Qp3FBMaVVaY63lFipeDqrC/gHqgwrGMJyNKLWLu5PDhBWLPRwPaNwS13YQDWFBz9Z2DLdWPk9CbxGwFf/hJYLZtCdj0aCLzzpi38kzcJtP/2oQoPnNHSrUHXUc2SuG6NKy2WlVdrarDOuraw+o2/Eidt+myLvMQqt6vGmDy4W3TSM3c9UV7+Q58cLKyQZgZ88HiwWaGrpYKTW7ZzUYMMxbXIb56MwTjdtjIvAKPaGa3V7pJoQDMKDVEoOtzrpWT6HKS9RTJ1QpyzbsJ6HmCl6oMjSX+FRk3mbWRM7P2+/ddx7pwEUlprbYzeg/mLR4iaEnhL1p+dH+DvKmFUtwMju+j2Wj7IkiQJQSjPchQFbN0i9uL8rCZvssQHkU1ovP2yaYxpKPdG1QW/a5hQ+RYqAbUxue633H0zr9ohx9iZrDGy/5UALC+eAqBR63ndPH/2Av0JmadbrruJRx95CID/9AePADB9plVQYIt77oNoiMxxYVnHtRUSqXMVF8o1MRZjVJdTDRalAWNTW/R1l7W1vv9uGORBJhHreSetzfx4JrfsYGVZeTyVS6PTbvknNLMZQVj158if2cR3BcpLoCNc5yFsB+M2LwYyv4lwXDsRoSYgrO37jYwJQ2yWkHUvXhGOrqC6RVkf3PNk8se0WP+kwWmb4RMlYpvcS8vIlLzfy2TeK42G39TceOAg4+PiO5w7+xg/8XXXAXDXYMgXj4ptyrSsPAljenqvW8tdFvTZmmjW/bz90RdlY3Vhtot1HWGTgO07pbvart17qWuXuy9+9lMAdNqrhQCC8fQDNugTqB1LlcPNppW8JNYEDA5JYK3dWiON3cZRxrJnzz6fEGq1Vi871/7527ATLXAn2Zw/Jkt7TE6K33PrbWI+nnrqUZYWxQc7cOMtVJUy4Cd/6ufZvkO4Py8q5+rePbt4x6//GgDjEzt54kkJlmVJl1kNUB997K+uALdp1Yb1SdI48T5AliaeY1Oae2rgz+kQOY2BbI5cN7AUa1wgX+9ZGIAGi21sfUD27tt384OvkyTonQMhj57Tbqq6UWtlMeuaOMnWuizpZn/byAA9bZv+/35QEsfT53uFQE+YB3hsgVrBOEqEQkGxJefKCsD5d1FVy+mzwUJlWZVEn4ss6eTX78WysZTQBboCjHG+laNdKQYSKQRRC/yy5JtOPwYTeB8MExbW6SzfGJtiEKvgmxTKJ00ASevUpnN0NZtD9vob7+HMmTMMDspm/9u/43v4yZ/83wH4h//L9/P5zwoNy6te+3oAnnzqMLWGfHd0bILrD1wDwLvf9R9wDEKvf8PXADA8Msgv/8dfAeDDH30vD94vm/kdUw0OJJKEvme8wSOqS85vaic9Wrqny9oJy6qDU4M1umqH/t+PSOnV2pqhrs/B/MJy4X5APp9uriGsuOff+L2nqVawma5vPbduX3qcwr3xrmRh0+iOVdCTIgfkhq6MziZmBrcu574dTI2Ns7QkCeu3ffPbAfjSg48wfV7L5269hdU12ccuLq/wpjdL18XxEfFP/vhP383Kgnw3qNTy9S9NuFUT+489+Neby9EVVKypTEoCNOkX3nfrsfEcXa5Du35B/+L9uyzp+/XRgQPCwJCkjhs48cHtu26/hu9+uSTe3nzNOF88JfMSDmiJpunRVhBEvBYzrxQlo/WKp8T59fdIAG16puWJrAzRhgSVwfnghZLigrh7naVxnlhzgXbb8F83QeA/N5j8MHlraQa0izrGemqj82dP+o7RVoELYW2AUP2rqBLS0/NVKrU8wG6qhcCjvJe05rRsVLqJW88pmOZ7Qh9BqxA1R/Ua8fQKYRR5zq/+8qPPqktl6WIppZRSSimllFJKKaWUUkoppZRSSikvCbkKSxelXEZQWi7cany0WMqrXNhSI5ZBv5DlqPoobBKnuNSsj3pbfDSxt56RVCQ6+cjjF/k915nrbUOkSm6/mkjGp5OmtJQovlJJaCjUb8fOKf7l738egDNKSthZzMisi/ReUs50GZJBF7DfvmO7Jx/ud/sksWSxRkdchj+l2ZRsxMDAILfeLvDJuZmL/iA9RYHdeNOdbNsmmcSVlVUfyR0ZGWWrdhI7p+UgRw4/zoRm7Z984iHW9Tont0w4NCrGhAwODuvxZIwLC0t+LlvrLVZXJEtZrdV9yaPrtDY8MsqwZnNanT4dRXzs2rmbs2evHOFzrVpj17X7qFerHDos6LO038IRC4eVMR89d0mvYtbDZjFZ30FdU6qqW7HPqER5lNymHp1y/8MzPlv4c6/eTU+zkEsr8ruFtS5LSkAfhKuMjsrcbN81xX/8I8nanp3WDEnSJHBotDDx3TRslqMX08Qdq4EJJPudJe08AxTUmZqSLPzMrBw3DQMqim5ZW53zMO7UVnJeXQert9afa3Fh2c+PCQKfLXHw+CRdIFJi2CRew8OxKYjV8kPQsiB3PM0c1CqkvUV9r4pBnsdmQxAuwyMTVBWlceL4Wn7Y0AgKI9vUpKQO2Wq5RjEjCvn1XQ76n88bmELmtUDsW8zcOoRhlOvVw0+v8FtWyL9/+Rtu9J1OFpekNKdvLWva2c6alES7Bl6zc5J3/JmUukxfaPtzFGpNcgSUsVgtXXXZdYKAjQA1Vyph8m5uzgaTI7bGxicZHd0HwNJyizB05RjykziOc+RbBhW9j91Oh6bamNV1p/urXHudQOYXZk76LFW7G4EihqL6KP2O657X0L8VQu1Am8ZrpD2xTcPDw9Qa8p1t2yVDNzdznmv2XgMItHt1ZV6vrXalCmABKXFotdapVitUdD1p9zJ27hD7fHFmjtW2drWxYtfTJPZrGgmE2snHRnXfr8HqmpWZls88RyPQXZISqA99YgH7ppcD8HNvfiWzipbqdrQbazTBwLAgCI/NHGdIEQungtP85p8/AsC5WZdXj3NUrE09QsramFBRWmnqOvf2iRW9W2s0sEae/2azweqSZtZdF6dKyPrqsly7SaloxjVOMhLXJVdTfaNjk8SxK7seYXFByhAMCVbLtBPXOc1UyTI3dkvmy0YqWFd2RETmyrF9mVqCy4pbm3fby5KOENWDR6BLOYra46BB0pdzZDYhqOXEuZsrFkjIkgDry0ayvBSqMojVcmLX2McQ+K671sa+JIE0Yfm8oJmGt4wCELc69LTL3okThzlzVvS122vzrs9LWe/Wl++gr9ng1WUZQ4+Mi9qJMapaQkUbDm0d4nc/KDbt/IzMVbVap69jj2oV+m2Zt0OPP8XU1E4AWoowsIUmJ9gIo2WOUdgk6W3smFmp1On3HKo4oq/0Dt/wtu/jIx8QIvhuV8Y9MDDMxQvTfkaNtwAWT+y9AaGb30uHzLFZ6omCTRCyZavYwqgiz8P4xG7m55cBmJk+xR/+yV8B8MEPvJ/v/T6xddfsFd/tQx/6JItKmL9z2xbe9ObXA/DAFz/PhbPHuGJiLZmitR3ReRBUcsCSCQrNIhRlEHewsfpKlUZhfU+x2iETRcUQkPeXMaHv6v3AQ+cIFHFxzZv2EStqo70sfztZysyy6EBK6u3b0O6t/M6fPgLA9AUZg7GmgLLLa/YEqeDQLu56csijobKhhNCtOVZRXsYENGty7atr7QLq0zwT0WXwe5cNJ8zAemyS+8j6Mt+NXWBT8q1cCIqytL5ckcJ3+94Pw1rvfweeTDqn7bDYQkfsSu6bbLJ0Ol0effwJyFJ27pbSxP/553/G7/2udPH7yZ/6GbZulUqVQNe2gcFhnnxK/OClhWnOaAfWP/qTv+LkUUGn3/9JKa+/49XfxNOPS3XL+9//AX7sh34QgEpQ51f+y2cBuOHNu+i4js0rcp2dNPWdEi2J16XhHZN86mF5lmdm5G8aJ6w7nQgiChAZf525G5fmbh55IyWbgtWOfq6jsCUvfbc282OwFowNLjlwodmDzTwySVRl45piMJ4oHBN69GvW73kE5szcLGFF7Pif//Vf+1/ma2LKa171agA+9LFPMT8j6K3rD8h7e/fs5LGFC4WTqo6GASdOnebKiMQHbBpvKLX13dyhsGa7SpzaJRQduhYEofel3d84S333P0Ecy7w99PApXMOja+qWVEnhY12PulnGSkt0KYl7HgW7c99O/s27HgXg3IxS4GSFPUFgCLwtsh4BFTg0WhD6jakxObIzDKukHbUDibvetm/aY5Out1tBpZEjaZ2uGcP6uqzL9XqdOb23No399qamCCsQegmAnTv30dSqpgsXLrK8KGtTpWpIleLH2fKoMYnti9+dppaoMazHDeiszeqYnb9XU+QhkPaJnL9ra74k9rmkRHSVUkoppZRSSimllFJKKaWUUkoppZTykpCrk6MrHNXsgi84veRL7oWrd8eT7pqg2ALZ+ky542jJ0oxMP0+S1PN9RVFEX9FJ9eEmr3yZZB6+45WS9V9OqowPOALmPv/xTyVKe+boIqG2IE37RUSHG2S9OOC8tbjnecg8usgYGFHS1Z079hNqZHl8XN47c2aa8XFBXl24cJ7moIxtfuY0X/8N3wDAyZMnAFhZWeTuu4W3q9FosLy8DMDYyBB9zfhXNbt66NDjPPbIIwBMTG3h8NNP+StoNGQMg0NDnqx81y7hkZi5eMGjaqanz1PX7xoj/F0yjnn/3i233gnA0NAwh54WHoVmo06lKgiLBz7755vONTEwNGoP3vk6Wq0Whw9pG2hTI+3lWX2fE9MovAlrOeEsFVwmN0tSjNFsuWYTglrko9IGPNeHCVHCUci6Ma98uWSs3v4KmRczPM6Ecp0tLS7xi78jcz57vk3gxlGo0zYe3YjPuBhjfKbG+pbxwQb9dwTxYdTHmAH9nWb8CBgZFqRDuwetNa23j5rPzEwWEF22MGdBVCBbTro6NZUCf4kl7i7peaPCOA1hRVt/uwykMf53Sb/lk1QmrPtjZ8m6HjchT39KcwaZB6kVz3rT2Ky3uTw4YdVGA9v0fud2NX8V5GO6TOtwW0BFGZOCKSAvQLLPYX5NNnYorRxNQBRx90FB/Hzbq6QFb1Kp0Ijk8zjL+KV3CkfF0uyaBz2YUFvBB4HncciyxN9nY/I6/pxU2RSGb/JrMSEo7xJ63ImJLdx9lzzfX/jCl9imSJBe3zAzq6TjinhJs8xnuQ2p8hjCNXuvoaMEmnMLglYL7TJjY4JuaA4McPqkPCdRZZBU0VvFeZ4Yluu56ZaX+4zW33z8/YSKNOp31kFbG7vHq1YfpDEkz8HS4kXCaECPmM97uv7E5vPgmMgSDRNVah41EVVqZEYyX1l/SZ8vIHTXash85izFOARVukSlJutEmuXrom3I3AdhjWRNbF4QDBKqvmRhxlveKiiSl+0QFO741n2MjcgczV08zf/zDiHkXlxwqEDyNbnoX5gwzxyaKEcc+D7fseerUIZYubRggEy5SzxtnCnoG9Zn+jOb0lASY6+nNmPrNkH8TJ89RaIZxSAwnrDerVOpbQByHWlSJMy1eNSETT3i0KERsyzFKO9GluZNHOTSHFKkMDeOJzQKSBKHKoGgEpN1p7FZd5M5uirWRGNgkw0IE88lE9SwSiycc4KACRp6HUnOJVOp4QzH8LBkbweHR5lbEOR1nLaIFN2SxoHnxzLNjDtuFU67t9zidDGk2VS+r7jHb79XeEw7rcw3MQlid6yUQFHQYRAxrI15yCyrK47nT9eHLMPZ2iCIPbdhFhvQ9c2mRRSM6l3Qp6mNe776G76L973nz+V4SujbbDZod1zzmQK3CQVUjhNbQPeanAfHgp/LSlRnyxax19/xnd8DwJNPPs0J9dNe9arX8DM/+/MAHDl2lhOHhQPvsceE+L9arfI7v/vrANx+x8vZvVPbrvf7gtQHPv+J370CHF01G9S3YdOeb9JjgmqBxzHI0UB+PUmxivojCAmUVw1Sso6iZAvcRkHNcemEeK7HtMBjFVnuvVOe6298hXIl2gqNuoyh3enyjj8WPtmlhY63lcajnxwCWxAbrqmQ2KNCsxwZPRtQOqrTQaWJicQeD1Yd2fIaaeKaytgcyWILHGXFp9vbqQJiqojYcucKqx69YdPeBv/P2SOD8ah3dz0bjmVzTtQgrHtC6RzwYzxK35ho497KQtI+tukcXbKnGyE0sGOn8K/14wQ392Oj4+y+RpoO/MIv/GsA/udfvJe/+aQ0vBgYGmR6WvjoFubP86/+xf+h1yfD/Ikf+0e85e0/AMBnPvsRvuPbvhuAb3jL6+goUnPf/gP8h1/+cQDu3a32oTLA0IBcf7eb8j8+Ktx8h58+lXPiKvqtEkVe38MwpN936F/DM6p0rMFzvxX2DwRVbOpsU+6jDwyIDR4fn+DMGak6qVQqxLrfCpxOkD9rttBIpIjouvy6lFEgnfTr5kBzgJZyMxeB++4c9XqTu2+/DZCKnL37hIuxr00k/uZvPs2Rpx7UaQgIagP5MRxgv3Nikzm6qjaoTMpz7ZrHBGEOkAoq5KU5+lyZiMw/PylFLjUXF3D78qzfLRC+5w2zDLE/njWGu+8QPf7ae2QPXhvcQqy6lsQxv/FubfS2Hvs9i/Nh5Jkr7BNcRZEJcOuM95msJQgdX2Dg95dJNyEMmvq22KV+a87bDJt0MOrHmrDqeStzxGBRZw0TGmOYm73o7UpY0UYtg+O0W2t6Lsu9LxNO18ceechz2QVh1ds3R/Yv86hrQxrnfRQqQ/51qgjgqD7snzmbxQzUHUd0ncV5Xfv7x55Vl67SQNcQ4qUXnQgVCwVcKADN5oBn90/ShEyJL7E2d/R86WK2gQjZMfrXqlV6StbdaDboKtR6aq+Ue83PrnqIYFCN/E0J4syTqbtOLZgIo5spWcBzB8g/WJlbbKwn7axEITt3ijEZHBzHLf6ONK5er9Pp6BgbNQ4fEeh/o15hoCmKfP0N0llk5uIM113nOh9WaClRXr/fY2FBFEcrGPj8Fz5IZy1nrR0a1vKh1VmF3sLAQINUjfPIiDgwy0tL7L1WHK+ZC+dZWZbNaRBIlz65HzJn27ZNceCAdI/cu+96ps8Kaf7U1DgPPijO3YOff++mO2xDw2P2jle8gbe+9Rt5x6/+ewB6vYStW2XzfPzocTIG9NtuY9b3i4HNenkXiqJvUnEEy8aX64iBLRAkuxIwMh98GtNOjIvzLb/YGVPFpo4UOHgGEeEGh9sWgqXgj+vRumQFIyldagDCsEKmi2yscFLSPpW63MvmwCSdrhIoDtdZWhbDlqZuwd543GIAJ3fktHTDGkwg5wpM6je8WWZ98Cao1P1z7QyqCepk/nyWVDtGYjM/J6H+HR2Z8HpsjSPDBWxKGDVIuqew6SZvJsOqjZpTbOSiz8i7vBQ6vvgfpYVYQFawXYWNk26gpSpSnZPC/00Qa7BLFnW3MI5NygK3tNj2XZ5snOKbOKUZgd6HIszb+sBsIQBfDGy6DUxYhOUHOCW01mCtm3N5b2rLLt74xtcD8P73/RWo3bj+hhtZXZWF3pVlX7xwnlyhM/bu2atXm3H+rDh6sW5SK/URSLRbaGcln/jAEFVG9Xehp+h1xMBv+/bv59CT9+v8LLKyLButNE0Y1I44awo7j2ojpFbmqV4LfbeaNO77Uqt45f4rsJmsWFOblJlw5T/kZSZhdYKadiNsrUlZoU1aVLRcMe53PWS/ElWJtAzBlX9de+0+JqYkMXJm5jhvfN3XAbCwsMDHPy6biCzNfMnV9mtlQ372zCyhbt5M1iRuiV0ni72jNTg4CkCnm5ClruuPwYTyPjYjiFwAW7tD1SqsLzry2txps0mIwTXTEAkCUyD0zrwLEEUVH3yK1G6srS36QGGtNuyDDFlmczi961BmE192WLTLlgyjjiNkBIErjzT+dz5BEBgpf5eLI1fK3G4HLmBNbhOytI8xFWz/JDbb5M1kENmwMiLXGTjfI8ufi14q5dDk+wCbxVQjVxJa2EQFVe/gN2ry+2qzyoDSJnQ6bVa0bBoqPvAaVALQ4w2PyO873TzYkNnMu2EBEc262C9X2lkN6/S1ecbg0ABLi1KCmqTWdzmTDbKse04nhkYadDpiW+JuCrqe+3xPZnEdegkD/6y9+nVvZmFOAsGrWiZ77vzZQplLxsYymDxA+Iz35I3CH9XRKOJf/dvfBODB+z4DwOSOm3ngC9K57OTxIyzPSGLiQ5+9yP/4/f8OwAff+2cAfO03v50//WN5b3RslFdqp9hjh5/0AY8nH9z8BKEJqtZUt0rgtNAMyvnOElRymyZd37tLFCLV5M0b/Fd9TMgEBuMbSFi/7pkw0mAXhWPB0Ljc0/VW3xM5Cw2JluYF0cY1TA6M9+myzOspl9IP+EH6xcXHvMPqIEY3kq7sLIsTbOye/7Dw+IeFPUuh9MjmSch8/Q827EPkT25LrDX5+mwKewhr/MbX7SFkDMV5d/5IgtFutCaf+EsCb/k8pGkL2z2/+QlCE1nCYbAZY+MSGBgbHeH666Wz98c/8TFPdr19hwQQhoaH6PVlbMPDDe7/ojw7YRhSUzv07/79fwZkzb/jrrsAmFlYYGFG9hYrax3mtLz3wPX7OaMNZ54+Lk2errv2Gg4dEn+j27EcO3YSgK1btnP25BEdu8z7/OKyJOiQLpATExIYmJ9fYHBQA6CtfN/pwAtQwVT0nqZV7rj5bgBflgnWN5zZvWcfx0/IGIYGhzh56pReX94wwW0NNmpvwTfP22iyb+8+AC7MzNHtuoYHhdL5y9zlYsdhMLzlDW8AYGJypycTf/xxCW7Zfsuvk0cOP01lQPZ8rU7HDzBrH978QFd1Uno1OTL2AjE7WZI/T56gPqJel7V7eHiEhSXZNwRh4BMcrluqCaq+3NlmhaAXiSdpxxqq2g27WlP/bL3jkzAmqHgid2yKb0Dl/epK3oDO5sl9m6Xe5zbeZ4j974J6Fdft3GQJE2NCLzG/sKDf7eV+SRrjg/lBVEh4aTljVMuDYmmM0VJMm6bU6+JX9bqujDJkSJvkrbfbxF2XMIPxCfEZB4ZGuTgr85p0VvVUNR90t2nPl4easEao3Y7TvnaUrAyQ76MyTz9Vr1Zot+V86XPoUlm6WEoppZRSSimllFJKKaWUUkoppZRSyktCrkJEl5kDTr/Aw5gE5l/gMTybvJTHttdaO7VZg4FSn56HvFTHVurS///yUh7bS1GfXsz3C17c4ytt0zPlpXq/rrSUtumZ8lK+X1daStv0THkx37OX8tg2VZ9KXfqy8mIeG1wh23TVBbpeDGKMeWCzoeCbJeXYrj55Mc9LObarS17Mc1KO7eqSF/ucvJjH92Ie2wslL+Y5Kcd2dcmLeU5ezGODF//4Xgh5Mc9JObarS17Mc/JiHhtcufGVpYullFJKKaWUUkoppZRSSimllFJKKaW8JKQMdJVSSimllFJKKaWUUkoppZRSSimllPKSkDLQ9XeT336hB/AcUo7t6pMX87yUY7u65MU8J+XYri55sc/Ji3l8L+axvVDyYp6TcmxXl7yY5+TFPDZ48Y/vhZAX85yUY7u65MU8Jy/mscEVGl/J0VVKKaWUUkoppZRSSimllFJKKaWUUspLQkpEVymllFJKKaWUUkoppZRSSimllFJKKS8JKQNdpZRSSimllFJKKaWUUkoppZRSSimlvCSkDHSVUkoppZRSSimllFJKKaWUUkoppZTykpAy0FVKKaWUUkoppZRSSimllFJKKaWUUspLQspAVymllFJKKaWUUkoppZRSSimllFJKKS8JKQNdpZRSSimllFJKKaWUUkoppZRSSimlvCSkDHSVUkoppZRSSimllFJKKaWUUkoppZTykpAy0FVKKaWUUkoppZRSSimllFJKKaWUUspLQspAVymllFJKKaWUUkoppZRSSimllFJKKS8J+XsX6DLGjBpj/knh3zuMMf/zBR5T0xjzfmPM08aYJ40xv1T4rGaM+RNjzDFjzJeMMdfo+28xxjxojHlc/76x8Ju79f1jxphfM8aYZznv1xhjDuv3fqbw/ruMMSeNMY/of3c8y+/36ZiO6Rir+v4eY8wnjTEPG2MeM8Z83ebM1ItPSn3acN6vVJ9+XH9rjTGTl3z2ev3tk8aYv/nKZujFKaUubTjvV6pLf6i/f8IY83vGmMoln99rjEmMMd/2lc3Qi1dKfdpw3mfTJ2OM+UVjzBFjzCFjzD97lt/vM5df615rjHmo1KUXZEwvNV3aa4z5uBGf6VPGmF2bNFUvKil1acN5v1JduqzPZIz5aZOvkU8YY1JjzPgmTNWLTkp92nDer1SfLus3GfG/Vwo69a82aapeVFLq0obzPpsufaagB+eNMe95lt/vM5df535Uz/+IMeazxpiDmzNTzyHW2r9X/wHXAE+80OO4ZExN4A36ugp8Bvha/fc/AX5LX38X8Cf6+k5gh76+BThXON59wCsAA3zQHeuSc4bAceBaPeejwEH97F3Atz2Pcf8p8F36+reAH9PXv114fRA49ULPcalPV4U+3anzeQqYLLw/CjwF7NF/b3mh57jUpRe9Ln2dnsMAf+zsUeH4nwA+8HyOdbX+V+rT89Kn/wX4fSDQf1/WtvDsa901wG16jFKXSl36SnTpz4Af0NdvBP7ghZ7jUpde9Lp0WZ/pku98I/CJF3qOS326KvTpsn4T8HrgfS/0vJa69MLr0iXf+3Pg+59l3M+2zg0XvvNNwIeu+By+0DfxBVCadwMd4BHgPxQVG/iHwHuAj+rC8ePATwIPA18ExvV7+4EPAQ+q0t24yWP8VeCH9fWHgVfq6wiYB8wl3zfAIlADtgNPFz77buC/XeYcrwQ+XPj3zwI/q6/fxZdx2vWc80B06fGA/wb8n4X3P/9C3/dSn17c+nTJsU6xMdD1T4BfeKHvdalLV58u6W/+N+AXC//+58A//bsc62r6r9Sn56VP9wHXfZkxPutaV/hOqUulLn1FugQ8CewufG/1hb7vpS69eHXpkmOd4tkDXX/kruWl+F+pT5uvT/ob7zfx9yfQVerSl9GlwnvDwBKFwNUl53xOn6lw/g9e6ft6VZYuKqRy1hjzxPP8/ncYY54yxjwJNIDj1to7rLU/fZmv3wK8HbgX+EWgba29E/gC8P36nd8GfsJaezfwU8BvXuacbyjA+4r/ff7LjHUUycB8XN/aCZwFsNYmwAowccnPvhV4yFrb0+9PFz6b1vcuFX/cZ/neLxqB0P8XY0ztMr+fAJZ1TJf+/v8C/oExZhpBTfzEZS/2pSE/Q6lPG477LN/7cvr0XHI9MGaknONBY8z3f9lfXJ1S6tIlx32W7z1vXVLo/fchjgfGmJ3AtwD/9bl+9xKRUp8uOe5lvrcf+E5jzAPGmA8aYw5c5vfPtdb9fZFSly457mW+95Xq0qPIHILYqCFjzKVjfilIqUuXHPcy33s+uvRlxRjTBL4GQV68VKXUp0uOe5nv/a306VK/SeWVxphH9fc3P9fvr2IpdemS4z7H994GfNxau3qZ3z+nz2SM+afGmOPALwOXLaPdTImu9AmukLwL+HUEivmcog/0zwKvstYuGWPuBv77c/zkk9baNWDNGLMC/LW+/zhwmzFmEPgq4M9MXtr6jM2WtfaTwB3P62rysUYIXPTXrLUnnudvbgb+PfDVf5tzfRn5WeAiAln8beD/BP7N3+L33w28y1r7n4wxrwT+wBhzi7U228QxXi1S6tNXrk8RcDfwJiRQ/QVjzBettUc2cYxXg5S69LfXpd8EPm2t/Yz++1cQtGlmLk9N8PdJSn2S6+laa+8xxrwd+D3gNZt4/L8vUurSV65LPwX8ujHmHwKfBs4B6SaO72qRUpc2zy59I/A5a+3iJo7tapNSn/72+nSp3/QQsNdau26Ec/k9wN8p+HqVS6lLuXw38Dt/lx9aa38D+A1jzPcAPw/8wGYO7FK5KgNd1tpPGyVdc2KM2Q/8BjAFtBFo39PADwO/Ya1d0q8ufJnD9wqvs8K/M2S+AiRSecdzHcQY8wbgv1zmo7a19que5We/DRy11v5K4b1zwG5gWhV9xF2DEbLSv0RqZI8Xvl8kMd0FnDPG7CZ/KH8LyR7uvvR7ANbaC/pezxjzTsQBwxjzYWAr8AAyr6PGmEijtv73wA8iWSSstV8wxtSBSWD2Wa77pSylPj0PfbLW/tCzXz3TwIK1tgW0jDGfBm4H/r4Fukpd+lvokjHmXyPrwY8UjnUP8G51QiaBrzPGJNba9zzLdb+U5e+9PiG25S/09V8C79TzPd+1rhSRUpe+Ql2y1p5HEV26YfpWa+3ys1zzS1lKXXoeuvRlfCYn34Vsjv8+S6lPfwt9upzfVETtWGs/YIz5TWPMpLV2/lmu+6UqpS7JsSeBlyHIY/fe38Vnejf/P1RXXJWBrmeR3wZ+1Fp71BjzciQi/Uak7AljzOcQgrX/BAz9XU9irV010vXr2621f2Zkx3SbtfbRS773t4rYGmN+AVHSSxevv0KinV8Avg0hlbQKYXw/8DPW2s8VznvBGLNqjHkF8CUETvkOa+3Z4nj0oThgjNmHKOB3Ad+jn23X4xgEnviEHvutl4z5kzqmd+sY36sfnUHQN+8yxtwE1IG55zsXV5msUerTpujTc8h7kUx3hCB5Xs7lF4mrXUpdYtNs0w8BbwXeZAtIUmvtvsJ33oXwTrzn+c7FVSalPvHc+oRkpt8AnARehwbP/xZr3d8XKXWJK6tLunlYVHv1swjq4qUopS6xObr0Za5nRH/7D57vb65SKfWJTbNNl/WbjDHbgBkd58uQgM6XA41cjVLqEl9Wl9Bzvc9a2y0c+/mucwestUf1a18PHOVKi30REMD9Xf5jI0ncIDmBnPvvkH72PiSqWQH2IXWnf4ZskC5HNvfrhXOcQgkei5/pcT6ERD2fAv7VV3gtuwALHCqM/4f0s7qO9xhCKHitvv/zQOuSa96in92j13ccKfE0z3Ler0MM3nHgXxTe/wQCxXwC+B/A4LP8/lod0zEdY03fPwh8TufnEeCrX2h9ucK6+EelPm2KPv0zJPOUAOeB3yl89tM6N08A//yFvuelLr3odSnR37rzP2MeeIkTiJf69Lz0aRRxCB9HnMXbn+X3z7bW3YvYrBbi+D/5Qt/zUpeuWl36NsTpP4KUhNRe6Hte6tKLXpeey2f6h8C7X+h7XerTVaVPl/WbEOL1J3V+vgh81Qt9z0tdemF0ST/7FPA1X2bcz7bO/arq0iPAJ4Gbr/Q9NXriq06MlC6+z1p7izFmGDhsrd1+me/9FvAla+079d8fR6Kc9///OuBSSimllFJKKaWUUkoppZRSSimllFKuqFyVXRcvFSv1wyeNMd8OYERu14/fg7RGddDw64HnReRWSimllFJKKaWUUkoppZRSSimllFLK1SNXZaDLGPPHCPzyBmPMtDHmB4HvBX7QGPMoAov7Zv36h4EFY8xTCEzup621L8Xa4lJKKaWUUkoppZRSSimllFJKKaWUv9dy1ZYullJKKaWUUkoppZRSSimllFJKKaWUUkpRrkpEVymllFJKKaWUUkoppZRSSimllFJKKaVcKmWgq5RSSimllFJKKaWUUkoppZRSSimllJeERC/0AP62UqnWbK0+QBRGrK4u+/d9CaYFMPK68McXaNqMqFIDIIpCut2ufsnkJ8nSwhkL7+dne8Y55C35R2AMQSgxxCSOL3sdJggK4zbuIoojveR8YEzor7NWr9Pr9S752iW/fbahP2+xl/zlkslkw7w16iEA/TgDIE0uN4BLhqi/N0FA5ub9Wctpk3lr7dTzGPjzlqhStbVakyAIWF9fd6Pa8J0glMekUpG//V7XDzEMQ4aGhwDodnr0em19vyIjTmKwmR42zA9qM56hQ88lbkqMyXUny/zHxsh7YRSRpol8brNn3m9j8vk1Jh/bpd+5dGBF3dzwG/ed4vUEhWPYwv18tgst6lf+HDcaMl+9vryXpcZf5/DwMPW6PMczs7OE+rwF+nmaxmSXUd98TAnWZs9n5p+3GBNaE4RAgM0Sfc+wsTz80rnNLjfAS75zuc+DZ7lPKRvuw3PK8zEGxSm65P4H4bPoz+XO+1xTfemNulTvise4dMyX2rzLG72m2qZeLN9PU8C6ebL+MMZAtVoHoN/v+TM4O2WLz21xbLa/6bbJmMC6XFRFxxSEAdWK2Ja1tbXC/D+bsS/OT1B4X35jQrVJ1hKoXcEYAr3eOI4JAvlOEMh7WZaROdtTmIMgjMhSt3a6CS0OwRSGaSnaNPkbYtRGhgFkem2BCXTeIU0La/PldO+y8lx6fpnPTOH+Xk6XDc/Up+TSY8r7QRBQrVYBCHUd6XQ73iYEQejnsFqtkWYpSdwlTeJNtk2BxUR6TcWhuvsUqO0o/iggVJ1Is2zjfD9jXp7hGLgT/N0GbIu/vYwN4pLPzWWeyWcTP3and/nYA2O8bj/Tdl9ukF/OySrYtg36nj+LzYboRbcvSpSlwYbfjU9skfez1F+f8y+Lw8uyjGpVbEMlqvo5OT994srYJhNuuNR6o07X+aRFuxDk65Sbz0vndWhoGIAkkTno9TpUa2Lzmo2m+FHA+voabs6D4PLHy7LL6WHBbl/+igrPQvH9wr7ismvLZY5kQqzNfVlv3kyQj23DoZ6vDuV+njGGUG13mqbedidJTKMu+tRTPzxLLYH6o4ODQxt+1253ALz/1HP7IWBgcIhqVY61vrYmdj/tk2XPw7H/W4j4TRWsza8jswW/0Rb0Haf3mff1rLWF+c7AuG1t0a8s+hTuveLeq/CBO28QQOYMe8G+Ff344kFN4ViXu7/2md81XPIsXPJcmCDEbtDBy5362feMzy6X7DuL81PYlrg9Xbcv8yvT4fyES54zXR+aA4MAtNstP4xqreaf7Q3Pp+1tqm3ydgnjL6leb4g+Ab1eL1+ZrLPzoX+9cR0zRJHokrM/YP06PjY26vcYi/Nz+T01xt+Ser3uBkav19Wj5uuV+EuX3Ct7id5e9lZ+mbVxg75fzk+69HeXrueX6DPF+Smum5ecr6hLtri3sdTVLrn4QJZc7rxyLmfnUN/TGIvR7zYaDUK9L0EQsrqyAkCatJ9Vl666QFetPsAd97yFsfFxPvLBv5Y3w4C+W2ATA4E4lsbIhFZCg3Phsl6Hia17AZiYGOWpQ08DEEQV/U1A2lrRb6dANT+5TjpZBwJV4DB3+KNIvlurVhkcbAIwMzOTG8tAp9tmVOsNAPpx4g2zTePcY3ZGJAghlYesUh+iH/cB2HXNjRw/flwHVtiAFoMKXoeKhsUpbFHBLr+o+u/aPgTF4Ij7bWFRCQwHbhBn5fQFWTxX5isbnTsf8AlwD06kjlmj2WB9bU2Omlz68OvrbPY0myy1WpMbb301gwNDfPrTnwMgjEKMji+zAc3hcQB2bJuU6ztxlDgRjRoZHeH1b3gDAE89fZzjRx4DYGx8GwCzF6dB71lQHfDnzZJuvmAa453v3Eak/sEGi9VNeRDWqDVFt3rdtn6eEEayuExMjLO8LL0W4n4vdwBwxw98gMwEIVnc0dc2v1WhbqqDAKtGzab9PLAWr/v3/TWk3fwc1SGCyDkDCTbbOIaNi4nFokEhbCHQlXLdjTLvJ8/KGNdXKtTqcu2vfsNbuOGm6wH4tV99B0PDMrdNDX4tL87Si+W4aebOKQbT2gzbm2GzxQQhlfo2wqhGZ30JgKgaEbtFMiXfZAWi9yQd8kUENgZ9nHl2n6f4OYwaGLcIhDXc9WXdFW9ngkpTD5UV1rU8WGiz4u68uGl0p80wuqhba3Greha3dQgjJH0JDgeFQHVYbchi7o4HBecTsDbXH2xhg61/C46C6I67d0FBn7P89ziHJcO4eS1sXrEpN984AsCxC3IvVpYDXKDLmMw7OmEYsnvvdQCcPSvNeZMUKpFbpDu5vc4Sbwtt9+Sm2ya514NgQrbsFF0fHGyyY8d2AD75iU9BohuT4DLOBxmkYnuwBoKavq1zF1aoD4rdSNM+g/ramArVqnz34swF77gONuW62+0urZboQBrHPgjYHJlkfWVRzyf3yYQG6x3bkLCwJqXed5LfR9URovqonKtufdKgXhsgS8UGLC4vuR9h+y19eclaVgymgTpfbg3J2LD2mUvWW2sxuim0aZw/Q8XNiYEbbxoD4PiMzP/qQr5RNsQYZN7r9Sa79+wDYGxU7NmTTz1JHIu/0hwcIVX7sGfv9ayvLzN94kE2XUxEVJskiRO/mQwCkyfiwirErfxagbBaY3BQkjgrq+sQu8RahokG9JvF5zx3hvPAcFpQSeM3bd4+GPxzKHvNwj1Te+ISO1C0WZZiAsmo7+U/L26UYcMGWuwlmLCqn1XAyu+qtSqdtuhdpRKSJi5ppAGVQsDK2hTjfLrihsTZKGOBWL+b5NMTVjCBG2/MzQfFr3j69DIAays1Px7o8/Vv/zEA1teWvJ0aHBD/MU7yYGxrfY29e3cDsG3rDm8Lf/6nvnPzbZMJIZrcsInad8NBjh49DIgP5za0DbUbNqiSqN8U9/teL7I04+Wv/hoA5ubmADh+9Amu2X8QgNtuvZWFBVmvP/vpT3mfo9FsiM+MBMZA9Gqt3fdjCnSes7Tr18XLx9ojrNrKoJIHF2yS+u86G2sKgY6izoZ6Hyq1AeLOqpzXZkTqO9dqddY7Ml4TFX2h4jNU8OX9a6cLGdWa3PdqpcrQsPjba2srNJryen7+PNdfL/p0Ykb86bXFlIGRHQC88lWvY2xUvruyusJDDz8OwOiQ2LkjRw57/+C2e1/Dnl2yb/z8Zz/D2toqa0vH2GwxQYXa4C7izhq1ptiVXhyTqV20maGu+p4hvmkSd2loEKGf9Ol3xA+xSYdQ15Ci7+v9AvmS/DFZwRfC38csETsXVgdJO/NukN4eBbWRwjPuD+r9MVlvch3ZcA4kYB2o7QkDSJO+vo/XQXfvo+YYmdo0m6a5X23zQI27TrshoJEW7GPuE/jv2MzbYJtl3o6ZIPDLaSWCGw+Irhw5K/q8Pp9B0NDj5joaRRWSWPTt4O2vA+ChB+8j0/3s9r03MD8/C0C30/e/SzvHN9c2mZCgPoEh9Db/+ptvpduXeT1+5KhP4rlEZrU2QL+ve6mg4vfrQRAxNin67+yPzWKGR2Xt/+ZveTv9RK7jD9752wSagKyGIf1U3t9/480yLBNy7PhTAERhzYMn1ldXyLyeOh+l4JebSsHGhjzTJhSTh3kwPwhCH9wjdcmH/OcbA2HWr4U2N8qgPi+Zzf1ME4DbH0YFHdfny2aJt7NZ0gGr9i5Iue6A+D+nL8pcry3GYOsbLl2+3CNS/zOsit9erViMke/eccfNjI5vlfdrg3z8Ix8CYPHi/c+qS1ddoKvT6fD4E4+zvr7iHWiT5XcwDCtkOtE3HRQlO3XiaZo6cd2ozvikTHijMcjklChyc1ycvLNHixvPiPwOFKL7pg6ZKk+kmwcyH7FOul06bVWMNAV1egNVvObgOD19EAgDrAYbSOP8eG4zkiZ+DP3OCs5JP37kEIPDogS9nhw/7ncL47VgC5mHZ2QCisiEgvNf3CC6zVNWdGJtHugy+AcujKq86haZy7YVo7AyvwpmUL97yWZe56KuWbtavc7q6krhO8WsyeVRcZshSZqytLzK2dOnJaAHpEmQBxFIGW7K6yNPPALAtddfz+ysbLha7YT3ve+D8rs0xWby3fHtMubZmQhT0wc/SxgakY3D2mpSWADzAKXP7mQJNnDB16iwniZ01mTxDWty/9M4xVrRoZmLF3LDaDO/AXD32tpcn2yW+A0JmSVQpKPLWAQmJfY2N8wDVlkqGyPAuExbmjvcNu6QprqZqkR+0TfuvOId+ntg3L0OYv9+WDG8Yr/MVUef82NL64ShLLz/97/+Oe6+XYKJ//U3/xuNuny3qSiwi72M4RGZn+XlRW/YXcDwyojBEkHW94HsNEkkUgIStPY2pJixCP3v80Uu9Zvv3dfLtZ09vOyD+FGtSaLOPbZXeOwTnFm3NkeVObFZnK91QYRVR2SDk1awBRucJ+eba1Ig6a17hy1LY8Ja8xnnu2zGphD0NlisKdgWNt4jcwlyJNBnItswT+5DkwdNbW67wyjizbdMALCayLOztNAr6GUA6HFpcurMRRmHPsvWJvRj50zmAWgTBFQjeb+QCN80CaOQwdEJVtcNrXUJXve66ywuuKbBVp4vIHMParWeB7fSgsNdSC7sPuj0qeezjNdcs5flJQlSNYeazM8ty+EqVRINcESRQ120qdZkQ9LN2rh5TuIegyOjOk5xZoYGh1lfk2P1+13SrLDOOGfNLXX9VbJM7OZqu0NianqsNUIfiHL62vRrpS0GPWS34OfnslLMPvq1TH4zMTnFypqMPSHD6tpjTMUfL4oMb7xFnN2WkTlbmVvH6HizrOLXkh079+VBDdXlqakttNbkd2OTk+zevQuAo0eOsnPvQWann7z8uL8CqVQiprZuY2lpiY4ilzMbQKSblrSgwKozaZyxsryib9Wx6tgaG/tN5s5rZE6OPt3LA31RjaGmPE+dTockzW2I8YgMt5ZkuS00ISZwdtr6MVmvM8FlN5M2S7C6WSQs+jw+Yk+mQfQwjEjduXVDmwapV5VOEvvfxf3kmUFTk2fjjcUHbq0hRzN6CE8xSF/x9tzazNupoAJvvVuc9rbq/pNLy/mcpH0evO9TAOzbfyNh4DZp8t2pqa1+QxOF8OijT8gV35Ixosm2KycZBAaj83nk6adIXVIvqoBeY6crn992522c1nzAarLKzt2ScL7uugP0+7KRvuGg+OanTlYZGpDn6T1/8Qf5mmDhjrvvBGBpcYHDh+R6A73vAwNDDAzKut/puEQgmKCK1WC582NMZdj78ZExVDXI0uqs5euOWyOCwlbJWH+MShgwNCp+7+KirC1pr1XYiOYb7nYS+nyPS6TaLC0ERXIfypgQm/X13Tz4Va/qs2kzLly86I/V7sj+JQzhFQcGdI51Qzm/xnpL/NUvfuELvP71rwHgqScfJXB7C/VRjAkxRs578cIZ5mbPAmKiV9dWC4jdzZMoChkfH2X2YouRYdkvzM0v5gHFIKHd1oRaKHqfxX3W9PkNTO672ijyfs/uvXJtZ0/n8wqh+Kp6VU6tsu4i/mGvyPpobUpQG5X3bEym62rWWyGo1vzx5M10g69kNbgQVOqFQJQcv1qt++RnmgXe5zeBKSQn5U/a7+aoa5MfQ3ws50M5I5UDBKRY4TK+l/etTCFZDSZ0c5L68cRpwitvlmd0RX3N9bWCP5sa3N4syaz4G8DMRdn/VSo1eqovA80BajtknZubn2d5efmZY9sMsZas32dq+x6iiqxtyyvr1BRQkfT7PtHhfFebdWnU5HW/18PqGhNGIbGuKzffMgrAU4/PsrIqAb33/MWfM6zB5qGRETrqBPbihEjP4VBM6+0+PbWDzTHD0tK8DrfgK+uef2RsB2trYg8tITZVO2YzCXzpJ4Csif6dDk4fsyzOdd7FFKz1oBkR58cWAmjOGTO5T2Wimk/M2yTGBIWkD2wMzGG97hd98yCIePlB8cHbGidZm18DU/XXkQf0qmS65r/65S8HYHltnZkZ8XtbnYS3vU7AJY8//iT7rj0AwOLF+3k2ueoCXVhLEsfs2rnPI6gMGVUNJszNzfkHcXFBIshJkjI8Lo7p1h1jzM6cBOD2O27izTeK0Z9fl8zGmaefyp0/mxUWnoxQUVxJ0tOHnDwgZW2OxooifFGUMQSKtsn0oWl32lSqYtBCE5B4tEMfp2i+TMRUcye0kCWoVqseTjmsm4vVlSWSuOuHs8E5ewbCoqBYJsgX5gL0MFCFzjKLqeRRXJflJKpSG5f5GQgjZjU73LhVsoqNuXN0ZtxmvJBRIUcwranRiGpVahr06nc72LS4+b1ywYkwCBkZHuHMqRO+RCdLM4xufLLUcn56Woct45ievugXqjAIGNEMWbWR0dSg2I7dowA8/chCAdFkSBJXjpP5hcYo1BbIMzphmOsWmXeSMyDQKLfVzXlYrWITzWjZjEpV0YLtBR+QKpYlWR2DCSMJzMAG0IMrI1iYnS5keio50iGreqRPoND2NK74jQ4mBHXaDY1CRl6dqcL/bSHOY01IfVLG20g7LOu81Q8KgmVobZn1aXHovv07v4v3/+WfAPDGN301t94qiJeRUTGmo4OD/PG7/wiAp556ymdk2ID4uBKSkWFpKhJieWEBwiKU3pX9ubcMRgPSNu0JXB5ojA4RhqILW3ZJhvbskR4NPW6aJj4rZNM4R5uaoBBwVFsQhPkGkcDfU5sl+Xf9xjP1YzBBNUdmpPkG0C+saZKXG2PB6oIaFEpaPLy9mD4PCmjFQpDd5ku2l0vKRdw4TeA2lakvazBRWFDBgNqk2JNGGnNBA1XD9wpaa2jtHK2LsonP4nyTnqY9HyipqPNMWM2fv2wEl6UKwpDEL+qbL9VqnT17r2NpNeXcKUEeG9P1UzIxuY2Fi5rEcjvutJvPWQDubjXHB9EKOrbslOfbxCPeARwcHGB+ThyJ0bHtDDZlzTp67CSTE6MAnL8oaAubpTS03Ko5MERLA1m9TotuW+Yp0DV0eXW9sMxUcifIBFRrWuquDmK9MUK3K+tFP+sTqKMahZlfD6wG3UytmdtKE3idJTREmnFMM+f05wF0TJrbVVNMcco9X1icZVKzuHfc8xo++bn79LuGaEju+0i1zoWevG7eeq38nT1DZ9aVvucl491eh1sPiCN2+x13A/DIIw+S6vWcOnmEUycFOWhJefLxL9LpuONspgSYsElGm7DuArgZAepbRAMkXWebXCY38ZsCaxOf+KrUQ+pD8t277rkXgKNPf74QeEpZXc9RNU6MT3WAn6CgkFjD5omeNC2YgQKicwOtRJYfw1xiO4rlgWniEftpmuUbnCLC2BT8OI/WCPAoUx9syG2bxfr1HJOj2HwsDoNxvl0U+iCViQLsoG4AbcqhObFDwfV7ABhdrbF89pwf21OPPwxI4G1kdBSA4ZExf95UfdFde67x6/n0uRmPzL5SYrSk2FqHlgv9hihLM4aGZYwu4Xzo0KMcvOV2AJaXVsSPBq47sJ3DR8X2nDh3CoAbD97OU08+AEhyo9OWdX/3nmvoa2J3dnbW69z2bVLe2RwYYnVVnp9eB9KC75VzGeial3T8xjGxlqyrtinIS6Xdpk50MF+nglD89717d3LDQUGefeAD75OPsyTfkFoJ1AMEjSob/G/AZh1/nwQ13XenKHjszl8zrKptqNaqDA5rksnGWH1dS1MudOSZHr3zJgDG0zkWT50HYGX5NJ/6pHz+fd//Axw9fgaA8+emdbgdRkfF37pw/gLf+33fC8CfvPtPdVO6+c5THMfMXDxPmqRcmBa9Hx2foqdB0zirkSqK3PspJvXWJIoqJLrZrjVDhkbk3tx8h+xDzpw+lBfIGEMWur1IEchQSK6FeWLW2r7/buASK0HAxuoExN4UKEFMlCcbfZDUIcayvAzLWpsHsiDXUbUbkki2hTMV/Ck/YPcnRyIKAM3t6QrowAIq2dvPKA+2BWGFcEz0cTiyXOgqkOGm/QAMtObpzCogwdbAyBo9NT7C7bffAcDamqzhlWqD6WnRr2NHnmb/AfHRm406A03RsekTJ9hMqdUb7N5/K4aMvdfI+T72kb9iSEEhI6NDrK3L+DJdg+O4z7Y9Mp75uVl/G9/wtW/1pbuVugSelhYPsd4SnVhZW6HWFD+g3Wl5BKsxAYkG+A4/LQjXTrdHwwWpE4v1IBQDtoC4AtZXZ4gUMZ1mkKmtselivmf3VVUBxidQqmxYr1wliUNmFSu+gsJ+LYj870wRHejRzFnuEwTkCH0H0DEBzrk0FYNxlBOVBo0tinJLEmY68v2B28RnGu40WT03m1976rIADWwg1//F+x4B4K67buPaa0XXTGbJ9Pnp9Xrs3C3r5nPh4C9XIFlKKaWUUkoppZRSSimllFJKKaWUUkopV51cdYiuMAwZHR2n20tY1gzz4GCNZlNidpNbhrj+htsAOHNCst1p0iXU8sFOe4ktWyVj+/SRw/zUvxT+gwcfE5j35z9yFhciD8NIOFmAtNcXQlaQTLCDBfqEQBXCAiqqGEJ0nEihKzPpE2sGIrMmR3yEdQ8DzHzktsBXZVNqzVEAev2YhkZqF+fO62ltXjYUFLMESZ7x3kAUV8iCOrRYFufoBRflH2x6iHPSTxhVxM96twN9Gef+6wcZryhK65CMp7PSBqNRZRNdkozYCJVcWV70UxpGVYKKQqqLhPvPUonylYgxAWHUoBJVPQltQt/f39Etw3SVPK+7IlnFZrPJyqpkmKq1modZJv2M7bdI5uBf/ty/AuChz/5z1tYkA5J21+m2HUKwQuBqmTOLj6h7ovmCjpnQB+XTzPoMUdpfK1yD+0KbWCGy41PbWVxU3pXQ3fcQAkVHpHEhwRgS6DEcqqJabZB6bhLjy9ww1bwiypWHDYyQ9fPMhE0dIi4mVFSAy5oHUYD15XqphzybyBAo6nH/jhpjmk3pHtfa/tUYa+V6rr/uOh5/QlCYzWrG/IJkOvfukcxTHHdZW5d7tLg4V5jXAln7ZovyyvTiPrFyAoRRRKp1/FEj8nDq7pqbq8yjFILakIfdx3HMP/qxbwXgzHnJej1WW2BiTEo7FldX8pKgIFDUCpjKQAE6nGeYinw17nw27RP4e6MZSGM9skrKHHNutxyd5XQpKaCwIM94F+ekkLnagI7Y8KVLxlvI3BL40lZbQJt60vJa4EvCsriTo4cyQ7oqx7v+wAATFfld65CUYnRXenjofxj5sVsLQah8IC6riiFyCNs0yfkIbIbVjOYVEwujw3Uq1woSLQgjTp4QRPKO3ZNkoWTnl+cU6p4mfr2p1QeJNSseBjV+47f/LQBbt40C8Gu//BGW5gXpePzYESLljVmcP0dL+RK3TE14kmyHUjAmX2eSpEd9QNaDLE2JXTmtZuAzCs0z0pybgwyPzHBIoTRLCbUUM+lbxkZlbtdWl0hjx0Wm98SQw/CDqMBtmZJcwku4kR+yUqiKD3Aliz6DXkmYX5aygk/+zafIFIlcqVWI1E4d2B6wdUDe/+ITp+RyO3j7ZoLUlyScPX3KX7IjYd21ey9nzopvsnPPtb73zd988n00h3ayyT0yZEzGEgYxgwNVFpdcmaLxPs32XaP0YkXyXrwgn1YGPcJEqBv0GbDwpq+VkoI3vElKCP70Dz+bP9HPIPEv2o285ELeyd+zRfR2lhR8Fc0sZwU/BettgNhM5/c4NFoBxYfJ0Q3kaJ2cuSEnLsYEecmUzfkji8g/f9QN3Dep/65rwhNUI18yGWQpSaY6lhmqPfnudXsbDGr5z+phsfNrCwlY+W6tWfUlL3NzF0kV3b9n7zV6NRkPPfwYAMePn2Dnrp1yrJVVtu/cyZUUYVq0/vmt1Sr0FQFSaUYcuEnRsyOCSG42Rzh54piOf79/Xj7wgfcTjoqP9LVf/dUAfPZDJ1hVG2ST2CNdTh0/xsKClP2utTqeLHr6nPicO3bs9CVEjXro0RsmiApIV1fKE+dIPhN4lCVYTM1xxzh7lSMJgzDM/eE04/OfF27XfHkMPddNZGMGxgRttt7NS1Y9MjEILkF0KOVDGOCQw87vCmoDnoMu7vUY0PLhyW07ObcgyJlrdzaYUtv0+NPC4bsy26OiXMJZFrGmiLfff9fvcvc9rwLgvCIrvuHr38b73y+cNzfcdJCPfuSjAPznX/3P/K//9Cfo9jffNklDp1FarTaZ2vTV9VXve4SVjEpTy8J7eh3U8n2TMWyZEvTgwtoK/+D7vxGAmu4JP/SeQ/myY5NCJUWOloIcFWyVjygLKzmqLsgKaKmQjc1pUIRN4bju8yzZgPQC4ehyyhIGwWVtk0e82yzX2w325jITWQTHknkUvy3aUrdGVasF9GyiFDtAEGDU/7/2hmF2DosuPfyI+Bzd5Xw/aoI+mSLlZ+cSPvOZz+o1yaHuvucezp6R5z2OE49cNiamrc/lZkuSpiwuLXPXHXfRVf9i37UHmb0oft/Q+ACNYfEr5meWAJgY2851Nwj6a27uIrUB8bEPHNjPr/ziT204/nd8///BQw89BEC71aLecLzLASZw9y5kWPfI1qHmOh16igKv1ioFFB44h8T6ksDAN90Jwob3fYwZw+JQp07XqsKF5cSrSEQQqQ46xFe6cU3NqzyK6GlXzWH8Hq6IrjZR1b/vqrxMNS3oF7leJQlWqy737orYobzlhw4LarO90iGnmQghdFzGBhNIRUFFYwqHjxzjbd8oa8MHP/wxDt4oKPmnnjrG1u3DfDm56gJdaZqyurLI0PAo1+yV4NTy0jypOmHX33gD1x2U97ftE+N4+KER7zzOzFykvS6KE7cSfvSHfhqAiVFZjHdcO8z5YwKjHp+a4PSJZQCqtchzlQCYiivjcha0nwcTMLnjHYQKdS0YpzD0gSxTaRR4mTpQ0ZvmyPEK5YwEoSexJcvo+CCQWpasC7pJI06EtEE+yL9TIN3NlV7HrOfAO3e6qMR9KiPyQA+PjHDzjRJIPHnuMGksG6XXXT/CqpbBvPqg/L14/izdWecod8AUoPS+45nbpKYY3YwONQfoFmDkOTk2my69fp9Tp87Q7bY9L0O9XqHRlBKxW269gR/4oe8B4P5HpQb4f/73jzI4JPNRrwa+w+LWrdt46NPiXPzMT/4KAK978918/lPiiA4O7uHkCfl8ass21ltioDqdTmEj5iJIeaccsozEBYNM4MsCc6K/BpEa2V46wsCoBNuGhmssd+V3jUq+8MYanOy3e5BK4MhEeWejTJ3srMj5FkaE1bzM0VcjWgeLhaCitVEZ4Mq+TKEcxS/0GdWaHKAf50GNar3C1IB85403bme9Kq9fqSe7cGGZeFXe+/BHP8L118viNDk+xqc/80kAFueFt+L6A9eyf79AZOfm5rh4UYxrEIY5OfwVEClwqEg5HEBgCF2X10rIwTuFp8BtgB793HFwXFBJzztTyVrMb/ziuwGoKm/FwHif8zNaglkgW7ZxGx+ooVAi7DaCgPHGJ/eQgrBKsTuUuwJfamqqhVKhFBpSFmqV74OwRqDdAG2aFBatHAqfB7dyEvx8pmQ83qlz5qgYsLeFzmcm9efIlETcpBG1mny3l9V9IDQaaLBtQq7/aw5O0BmQcb5KnYoz04u02r6eAZuK82+CUTJXmujmNE09uSgIbxVAHFtyLpbNl34/5sz0Rdbame8EefPBG/jHbxXi5rNnDvEj/1iCoe/7qDRm+ej7HiTVToDWhExtFUi+wfJ//9SvAfD9P/APAPi6r7mb//Kf3wXA4sI8XYWWT1UGCSpi32q1KjOzEvjxjjPQWpH3gqjKth2ydl48N52T+jvusCTOdSys4PQhCKtkrtGLOmr9zrIPplUqFRZmtXzLwuSUrOmrunYn1uS20lrPFVipRPRdkw5fMlzYnBX5KIlzWxo5zpyAqOZ4cMBoeeQ1+3aT9cS2vPXmCVZq8ky/5gZ5Nv9ioc1aK1+n/cY4iZmZkd8Nj0iCrdVuUas5Qt+ABaVYGBufYmlxLh/TJkqSJMzPzdJeXydS2oSk38Xdj163xVd/wxsBeOTxLwBw6IEZCjXWfhqTbsafvfMTAPzVn8jm5rY79vLow2f1uyZP7gUG90NrCw5xHi3ymwEpbczyYxQJd/VHebfqNCfOJYS6BBNoqX2MCvcgiDYEOiPVlVh57cJK1XcqNkXbZSgE7PJARx4IK4yt0IHMVSta2/ccLdXKkOc7iwYzxgblGG+9ZTtrapvu0g3E3GKb9rqSrHcSH5gxQZVVTbAtLcmxlpdmufW2WwFoNJvMz4ttHhke5qH7H+BKiTEBUaWGMannVev1Or4Ma2rbdu5+lfiJZ6dFL9IspdHQ4PXKIgNahj/YGGG0KWv5o1+QINb4ZM2XKweViqeVSOI+dT1Gu9MlceUzamNmZ2dy7iECAt+EIudQqmpDmzhOcA2rMov3lw0JtiqbXTqaTLQxo+pXjY2MMDsrweBTp44WJsUF4QO/fqWmwkpLy62xWOuebceJZchJCgscT4XmLWFdqU/SLjUtf+qm1s/fmZlzbBsTHXnLDZMsDYhdvUsD63PzKc1MjtHtdFhddQ0Shnj44UcAafIFsLre941XTp08Q6qBjCefOMzLXv4KHvzCRTZb0ixjbb1NlsQSBED21onyR47v2M6d90jQdGVdwA0Pfe6McOghejU3l5PGv/O3PgzAnr1CwP/mr76TT3xMkqLWGK8rNu3lnFhhSFBxHfKcP5b6qE2WJnl5X1TNm14UgQUF8ILn8TSGVH2ywDfbSfCcoGlKnnkJCtxtsf+998FM4PcEloIduoxYAnwLtiDJ+ZRcU46sTxSqL0XVE/CbSsjkqOjPN90xyWn1e+6+dhSA2dl5OgtuPDbHe2QJnY58d3JSvjs6MuZLu40xdFouIJMwMSV+iUuqbJbYLKXbXaXV7nlgyd7919PpiV/4Ld/5nfzQD34XAL/+W/8egD/7g49w5OgRACamdjA3Izr2O7/1B9LcDrjxJilPvv2uG/jYh98PwO7dO30TjDTrs2PnXkBKfju6f3WNZirVuudDXSkG+azN743+FcCFfDe1ifCRyr98aTg9R0sCjgMcYwtUSgaj+w6nJ2mQFTi6Anz5oyjTJTOZQeDW37w5ik37fl11ZfIEFWpVOW4/jrAau2hsGWNqQN7/mpu30NWGEveqnZuZi1lfLewTXJIqzEjbcg+6wYSfm7V1uYcjw8N88IMSgL/zjoMcPXaGLydl6WIppZRSSimllFJKKaWUUkoppZRSSikvCTH2shjIF6/U6gN2+65bmJ+d4ba7hAj14fu+QL0h0fhd+67nhoO3APDpT3wEgNe+5rXcdfc9ADz6+CE+9sH3ABDHHV961WppWdrQhM8kDY4MEmkmKe4nzFw8JYMIorw00JHS28yXhEk/es0OmYgRRYuttwQ1kPT7BA4tZSDSyGvS7eRZSH9fciJBEzUINSKfxD1CRRZUFGmTpUleDmIhrLrsSJEYthjFLbxXzGIGrkwkJ1wc2CYZoW+/Y4zpZe0u2ehS10xoP01AxzGl3WtGBgZ4+IxEZu//4ip44tYQMgcNL2RrNRtYrURUtKuJdOxypLIXH7TW3sMmignq1lT3YLMuNc0mZUmbxoBky4YnRhkclGsfH5PuSDbNmFFkTbvV8i3Ywyhi2zbJVDx9SFrJrq+v09JItDGFMrUw8vcy7rV99sGV9JkgyqHrNsjRMIHBaIbXkTEbMk9ImGYZO3ZLdrS1vkajqRnUZcnEJVlERTusrK+sCgoQtDujnLs+KDDweq3O0pxm6TPjM55hNfTjcQ0W5P65Do9hXhJAmt9jRyBOSnNAjvW2e8Y4vy7jiYNVmqrr3SQh0OzlZFMyGsPNAR6flQzrl77Q8l3Otm3fx9u+6TsAWFqQEobde/eyuiJZ7yTp8+ijD8vni8ucOHkU2zuPzXqbisMPwpqN6jsJiIkd7NemvoslYVBo3yvzk8ZJDhHOUulwAgJocBBhTzqf5nBjY/GQ5yzNEQtpsfOq05koz5ZYW0BshfnvLoeaKLTUlvNuLPPKui3ChkK0bZajreI2YV10KEdxGTYQ0/ty7Px1ntnKvM5s7JKZYl2Zh3EZ8ZCBIXluv/dVU5xd1WxT1PK61E8TArXHkw3RpZGhIe4/J8jdz35+nSx1ZYpVf+6wKs91EASk/dbGadL5c00rkrXDm26bokrDjkxcSz/O6PTlGnft3sH110nmcGVlnmUtQ3HP/+EnH81vvzVU69qMwgSewHrFdfzB+ux9a221kOHLGBgVRMPQ0IhHJIXagSowffptKZU0gWHnHsm2nzt9Ao/eSTeWJcrroLC+mRwtY/NnxXfuqzT82pwlMY2mrBfdvrxXbUzSW1f0TljNtdf28q6TFNY0r+cVirpO4Jp/aKlRJSTUTprf97o9zPZk/tJwmUGHXEkSEn09ruVD9YEBDs3Ivfj8F9oeQW5tBauoiOaA6N4b3/h67rlXSv+mz57kiackmzxzcZozZ2ZIO6exaXdTbZMJqjaqTZJlWd523OZOQFjP0Z2+lCa1eNB/saFNluRoK1/+UECIF/0JqQX2X7m0atyQd3Y1BXQXxZKfYolqER1cpGHwJYsFcng9RxhF+TWZQOgiwOu7CQoNOqwtjLH42tFSFOYBU1Ali9U6DYcuJAioVuV33/GKbcz1xbandoW66mYvSdEGxYzU5fPm8BBHFmTtuv9LS9hU14QU/8w0FFF4y+0vY/rsKQBe85rX+3KvrVsmOX9R0FF/8Yf/7gr4TVUb1KYIowCHSKrVqh7BMbVjj79VCzOyJjebTXqKkLrppoNE2iBgeWXN+16PPfyAfrfBunYeIwj9ra5Uqr50vNfreZSM7zAcGCVlljUpR8jkpTq7dl0DwNnzs95+y7wWdMiV++R83YSR6xBezbuiFTrt+bXO2gKqLCX3uW2h4asjciYnILfF2rMwL8JwTbdqUFcUzve8ZicXdK1LWGNUkYNrnR6up4TTp+GpJoe18cqpU8Nc1HVPOkLKnFx/4HYAVtfarKjf1O20ve8yMT7Mq179Wj7+gd9jceHCptqmSm3ATm6/kUaj6bv1rq2vEao/2UsSKtFGfzPJDInSQ9Qbg4UOm8Yjq3bvFl98cHCQp7WMM417OQgzCHxH3LS3BEpBEmo1h0ihjMQ6yo8cHehJ5TF4ixNWvO9uCk0MMqWUMGFU6OqZI24sgbdfWeIQXYH3x8S/Vr0soGM9GfkGv6kwXptiHerH+34pFbVN3/Waa5hd1/Ljeoe6zl+rHxNpc62RhuhSbWSQB4+JP/DYIxabhPk59HVF6Tn6/a4vfQ8qA74s1ZiQyO19Osc31TYFYc3WBreRpgGvf/2bAJhfWmXugqB+7nrNm1hbEdTrvJYzHnriYT+eJIk9mh3bI1Rfd3BoFICFxSW/llSrEbv3XAPAmTPHqaiv1Wv3cL65WwqmJsc5d179qDDyxPXNZtN3FHU2TGh+HDrcen0OTOT3WI4OBXKEFaQb1j+P/tJ1LihQTqRx168lYk8Laynqi/uy3NwGyb7Erf1afjs0RKMu9/l7X7WDM8vaqI11BtRPSmxKX0spGw5pVq9yck7Wg/vuX4Geq1SqQOYaQWmHzKiOTZYB+Mc/+lP88R9LI7Lrr7+Jf/1//TwA3/iWG55Vl0pEVymllFJKKaWUUkoppZRSSimllFJKKS8Jueo4uuI4YWbmIqNjYyyvLAPQHBomVDTQ4UOPcehJ4UQKNJr43vf+JZ/93GcAGJ/YRqSZmcXFGU/iPaDkcSbIMFoHPXdxlm07dug5hmDeIVakmhpyrh1Ck2fEq5VCZDRgRSPI1vNWBESaQYyzVFraAyYKJZoJOPTE5MQ4c5pRr1ZC4jjnikiV/Nuhdtqx9WiLai2iqUik5cUZxiaU40TnLM2yPGJrcr4fIdQuZMJlImnNCqLhgbM1rrtGoqzzKz26GtU9udjihl2j8jO9zk67y3Bd5qRaN/RbDo1SqC3Pi7x9tmtgcIi2tpOWDE2xpfjmijFQqYC1DVLNaCdpxFcpWnBhcYHlZbl/w1pvPDw8REMz+Unc83pmSLhwQbKX3a5EuCvVKgoiodNay6PsWcL2nZJxIoxYnBV0wroiC20W++RetT7oO8VamxaAeC5z2SdTktooDFmYEeLI+uA4o6Oi17PKUdWoGY+EagwN0W1rRibt55Q3Ot/rK3P+uUpt7HnnbBJh3XV4YspqzlFRaCNvyHJ0V4H4tdNRjqpz61yzS8YztxzT0TGcWGxxcJeiglQf250uIzU5RqWeESuqpN9t8eCDkglemJfrzGzC6qpkC9ZWVzwyaNeu3bz8Fa/kQ3/1/3IlxABBVCHCoSx7ZJnTj4BA694d35+x5OSoYaWQRckzKtbxfRk8N0QQVrC+gYHBxkUUyyV8XFk/58yp1PJnLut7W+fuuTGht1OYzGcpbdrDON4QlwUPK4W21CFuObFpN+fY8oiuInLY5IAurM9uOh4xW0CaSLYyf9+Px2UuSdFHhgfOtDiwW56J2ZU+kaK4nlpY4969wuET6bha7Q5NvZxGM0KTati0DUbbOetcJ2lKFstJgqiSE6ITFNpEb75Ya+n1Enqx8Vnb6dMnWZk/BcDoxDZOnXwagFDt8MjIMK11xyuTEffFcERBwJyiUKuKBhkdGfOcH92+3YB6cdwSszNnfWY9VS6tpL/mUYZklunTMp7ABNLgAgpInxyRTJYWEDAZVUUv9uMiz5ne66RNWM35U/p9xxGhKK8iSW/S8w0JjLFyj4DRcbEfC/PzBfXLs94E+NdV5dzs93skihp79FzMtdKhnqX1lL4iTJ+YW+OOvYLSrikXWa/dpR7qejxgaGlWk9BCJu9HoawZa2tt7n/gEUDamV93nSBw52cvsv/aXZw+trm8JQBYK2ibAk9eEBrfgCXrxThKyNCh2LOEnEuoegmJu7u/Drmeo1FsEd2VZfktNwV0hHuO5cduiP59rMl9Et/aPILEITcKzW2CSp7JduT5Qc2fL0lT79OEUYGbxKlBYAg129zv9T2yHEyBcN4hF8yz2LSkQGivc1KLPAHxA6dXuGGPcDwtrsXeNh2eX+Pm3YKerOkzlXZ7DCqnZq1h6K6qgcsiz8HaUx197JH7CbQV/V/++f/kh3/knwHw8Y9/nPXVFa6cWGyWEZiKR3H1un2Pfl9dmKXuEGp1Uayk32FkVDhXHn/8MfbvvwEQVPzamkMTyrHW19byeTQRbq6TuO/JlWvVkDh2qBWZr3qtQaclOhIEgXIgiX/fUVL/ySlZC85fuECqemFMWvBPTM7t5cFYFdJEbNDaWky+PuVj26D/Dglks4K/mxQa+hT0fMO0Fn1yfStxqJiIRN98+OIae8YV2R/nKMOjS22u2yJ6VlUEfnc1plmV405uHWVe9xOpDfxcLinn4u4de7hBuU+/9PnPMD4lVQzz87PSrOQZXD5fudRrNa7bfx0LS4u0W+LTDQ2NsmuX8JkePXaSek2rRbbsA+DUqeNEOj+RiZmaVE41i+c/jvtyv0+fvkAau3UpP2+WdAmVj9FENT/P7h7ZNPa2IIhquT66ZgYU/Cab76fEd1ek4QbCe3fi1K+PNivwFpJ5fXWIwtwWARt4CQtoMpv7bhSQYrmugbGuYsT5muC2kg+eWeGGnfLcrq93CNU2HVlc43ZtJDGiPIJJYmnqNrg+YOisu0oCsNp4LHYNC0zk5yHrtQiqDR1vRnLJlGyWBEFAoz5EEBpaivKbuTjt780jX/ikR5z1uoqkSm3O29dbJlRu4H5sSPQ57i0u6NhTBodkrjqtNc6dFYL94eFhFpdypGRD0V3+fhJ4NUjTzAPdBwaaxMoDVlMd77RWSDz3d5a7TzbF4Pi9CqhiivvjfOdFoapEfp8VuJPDfN2l4Fe7YxUr/YLCfq6ozya3ce2e6N2XTq6wb6uco91OqQ/K6y9OL7FvUpCSk01Fdg0EzK7oXrRZp9N3FxqA48vraVMjExCpg/KBD7yXIY3XnDh5jD/+oz/iy8lVF+hyMjcz68m8+/0+kxOygI6NTebwPHXWl5cX6GsnidXFi7TWlEjXGNJEbuzq8jIAB244iK5nLC8sewe7E7cZ2SILZCdZI1OjFyyLE5sUAlBkmYeISgcxhWxGOVG0c+0r1XrubGYpVg2yM0hzFy7gFs241yVwhN7gjeW6bujDSsV3KajXa9S1lDCI6qxoiUuWOENagOAX4fhBxxtZX4ppLKjBfersCqOjYhQGogoV3SAkSZfTizIXQ1OivHGnzw2Tcl8+ES+zwSFwENrMBb8CMt3ELC2tcK0SiZ+bPk2329o4aZsoQWAYala47Z5Xce6MBIgGBoZ46tAhACpRxMqqLL4LCxLwCrAMD4szsX//fmZmhEz4wsVZOhrg2rFDFumz06e980YB5p6FFea1lHXvgX00tsrxjt33IAApNW8M435KqKSZWZovbM6AyYZbHb1Gg0ADuRWT8LQGfR3cPwgzrjuwH4BDTz2OScWQWGuxqvhx3y3kxjVExFQG/CIqi1ZhMdPvenJ0o//GGU4tK/C203jdPTzTY3hEdL4RRjQcGWnW5dSS6NPBSV002jH7xmWePtJd9nO5MH+W9ZaW22rA7/ixQ/zIj/4oAH/9Vw/S6ehzmnT50pcSeuuLbLY499akKWHorr+GdV1TrCWzzlka0M8jDBrcTBM2OEXFzqlAEOSB9g3dIyOItKOJqVgSN/fLhU51agtt0s83jibMN33OMSt2eTUV/9ybjEs2pDI+V6KW9HObFwR1kpaULEeDW8l/VAigO0eusLn1XY1Mkcw+8AuqIS8JyaH/GUZLYh87tcLoiMxDM6rQUHvb6xseuyg28u5tEvyI230OTowC8NHOdE7sGkEO/1cy5LBGZlb8nOTBtvg5CWG/cnGb6hijQZJK2PfNIhbnzhG4QKOWXawsruaNULAEVUecn5ev91ryerbbJt9N5RuysF4h0Q7ClfEGjVEJyK+eUcLfyoDfFMgQdT6ymEjL5T2hr83LapOk2KUzo68B3KoGtPpxNydiNxF1TSasr656patoNzSTrBa+GxbOl3H9TTcDcOTQ43qqwrNSDFSYXNd9AskEBA2Z38enVxkbk/M1w4iqJsXiOODQBbHdt6rdTmLLPi0N/ZvkYl52ZDLfr8OVUp89c4Kv/8a365x0PRHu1NZdXDh3Om9ws5li0Oc3Lw/NUgqdl0zeLVCDpoaw8LwZAmf/bbHjYbbhr0jhWY8i0CBSWK/4BgHpct51dsMgiyTPbm3xpagGXFlJmuT3MY0xrimG9xEyXJdIExqfmBGfsJCcQfcDWhIdGuM7Xpmg4u2j3wBgC+UhQT7+oO/n1Wjws9jJ+PD5dTTnxHCtmgdWE8OxeVmDD06pver02TU6qNezUpjLxOt8pgqWZE1CXfO27djOk0+J37Jl6xRHDz/BlRN5jvr9rn8nS1Nvw8fHJ1hVv6nlAk9hgHsOmwPDPuDeX5jhoiYI8/J48rLnYoC00qSqz2dQrzGgTR2Gtf5zcf6CtwVRte6Dtq31tj/fxQuSDLOmCTgbkvoyPpvBy14mic6Jcdnof+ITH6fjCKDJch0o1uL6jV9xmsJCoDfvtlbcJG5oxuIpBvLO3+6AxeD+8aU2ww1R9roJWFcfc20944g2ZLl5m9imXrvPbu1KePTUKokP+qSYSJVSfbSz06doNuReXHf9Pu64UyqBjh8/zgfe/z7WNVG+mZIkCYsL8ywvL/mGKPWG8QCBXbu2c14bGizMSzChFkXMzYt+hdWq39/U69U80JW4pEmS59Ntkif3rCHTTm+VkQky598s6lpf8G+ywn5J/BMXWHe+eEFHC+sRBSqIIHIdmo2/jyYLCh2mLcZ13tN1Mkv6BaqJIFetLAVPc5ErXO43ZfnvbFoIGruy6gqhBhwOn1pm27jSloQhrhsBZTwAAQAASURBVMV7EDQ5PqcNHAKZp04/5tYdkv350v0n/b4CA8bvLd36kXpC9Mgkfr0Xn+7KRLqMCYiqdQYHmzz15JMAvOY1r+VTn/okAGurLb8/Gh2TtWTrzj2eRqZer7C+Lno1MDjg9+btzjIANknpdl0DC8v4pDSYmV9apT4hwdbRiREivTet87I3bLXb/pkPw4CK+qZzc7O459s1rdeDuxcbgss+Cb2hYcpl9gxFHXQBDRvn0c3id2EDAEPfyD+zgIJxbJLkeufLwjv+9aGZjNGm2MmBqEJLqZ36aYWe0pm0VQ/WFvvcpsmfz3xpCZdpMxUgUxCHRrMHB2q0O3Ks4eFtnDwlAcbx8VF27dnLl5OydLGUUkoppZRSSimllFJKKaWUUkoppZSXhFx1iK4oDBkbG6PdWmdwZMS/11MSdmm5K1HA0yeFgLBer9NT4sK1lVXGxkYBySS4lp8uVH70yFMMDUsWZ3h0kLgnmYKoPsCQwjjvvG47Dz4pWaGeRuCZa1FsE+uzkJU6mBwhA5IddUTTaZrlyeY0h7SaAsohVGL20IRMbpHs+vmzp6k2JCK9e88eAI4fO06kWfDVtXW6ntwtyFFFRfLYIiG0T7TnyAyHLzWDVfJEgIVUjjEwHJIqsfnOrUMMa1valkabm0HIp09KJubl9w7yxS85QmeDhwr5kslCOVMS+7Kz8YktXDwvxyjmfjdLsjRlfW2Jz3ziQ2xVIvkgDNizW+b0xImT7NixE4BTJwTx1WjUaXVkbh995EG2bJXy1tHREXpzEsFPFMWzY8cuZjSD2E9MXkKGoavEmzu3ZMyuSzQ7mpJM7mCvwuqaZhDTPklXzhdUmpdkzwGb+tKm9bVVJrcIRHRlZdlnL1xWoJdUOHpMEARJCmjZA71Vn0F3JUoCt1WkT9bDm4uoCVrOZByZc6FCScifc/TepagXEwY43HmWQOQIH5sBVpFQOyYGGFVoflcPVauHfP60ZBvvuavGAw+6cXbp95Z0HHmL79/7nd+Vt7KUa/YJYfaFC2eIKnX6ZvNj/AZDGIZUwoC+PntJr0W15u5Bngmsa7MDjKFakdcLczMe/UUYeehxXl6Yl0zIGw42H5Dpvdm+FeZWFdGqdiddLmSFbAapzlvYyNudewSqIdDsTpYlGzPXBd0VyTziQcqu9e0gJGyM5ufTn2/IdDtkj4nyBgy4lJZhI3F9fr68PEjP28jnKctSyGTsw6MBkaJb90wMMjWpqCG1V5Uw5NOqS191d4XPPeAIsUNvKz1qJYshkfuSWeNbkkuZp2vXvPmSZSmdVgsTNci6gqaKKoaJ7ZLBOnXiSY/+ydx6E9Z80wjSGOvIYI2lUEQGQK1Wp9d1iIyAQHUgjfs+U7t7W8iKogGHt4uOLZ+Y17QbqtOOCDrymWh3piRJ8n8EOaLDmNDbiH4s+litNgDJeqfW0C40VnE3Pu6JjtQH6jkaMUtySH4Khx5VFKuiPeRZctdpL9EtkUjRIzEWo3oTTkXU1c6NjEZEyiy7e3KA0XF5poOakoOnAfdPS0nQXQfh/sf0OoPAr/9W19MTx0/x+c99DoB911zDiWMn9Zot84tLUmq3yWJMQKVSpR/nCIEwDDwprrWZt02u1FoI3V1ZTAWHJxBUgEOAi04kSeyR9NZab5sg9bqye3vEebVNjCvCarHDhlJCZ5eTdn6Oor3xTNLk8K2wkjf08NANPBo1DAL/s9SGBZYG9VOaFU/QH/f7G9Yry0YqCUFdOOL63HeTqdH3VW+DetNnyk0QebqKsZE6oerSrolBJiZ0fVAdrIYRD01LmfHB6yMeeVKPa6xf33Dt6/s9grqs4e3WKm98/SsB+A+//ItEupZeASC8XJMrUfX33bB3n5S9TZ857RFSlWpeFtzRcqG11VWOHjkMQK/b8mXi+boQYpy/YXOkmEkTkljmbue2HsGQ+OT33iYIrPs+9jecPinPU7+z7hs9EVTo6x5gecXRQyQY41AJqS9vGxhoctONBwD4y794j4yx1y8gLYslwMWF7ZlrMxhfVg2hJ1cmFkS50yV5XUSm9nK0pVvnC2VsvSzwgLehwarX6e1jDSYm1O5p+Wu9UuGh04Kw3r0t4OzJHHkzruXdriFCLQhZb8nB7r33Nk6fPA1Ap93j1lsO8sgDZ7gSYgkZHZtiYFD2dNamTClaZnZ2ju1KIbO+Lvqz3kqoKEIvrNSI9d51e/nza4z6qJUKaU8bG2R9T/Ngak0Cte+7t3Y5u6AIzxFFhy62cgRNVmgkkOUIKZs5WokgtxvGFO6/7GcArKd+CPOS6CDEr4lBza9NNtEGVkFUQN1mOX2IDcBVB7jfFPZQxRJ1GZd+xz1HlchXZZhalUwR4ZNTVY+C3NLNGB6R1z2dh4GhKg9PS2n9K+6p8iVZakl6/dwOONL5oOoJ+NOw4ulzlhdnCdRHSTfZfUqzlLW1FeZmz3valaNHn/a+DXGHTP3fm2+ShjCnzpz0tA1RbZDesuw9u/0WoyNiW+NY1/uqodOVz4MgYnlZEIYD9TqBooqv31nh8Iz4GzfeczsAT9//iNc1S0DfN2ZLN/rFTvwSXMUWLbi/v/aZ7xUPVKzYckTy/WKjqlzvoIo1Dm2YI/+dXgmxvVtXo9xWqy0zjRpkjtZinWrNlbtWifQ+7xirM1iR77gmeYPVGtO6FXn7Nx7gvR8SfzyOe57GxO1F0zRU/xBWVueI1Wecm4s5rvvZ55IS0VVKKaWUUkoppZRSSimllFJKKaWUUspLQq46RFeapqytrLC+usT+AzcCkglptyXCt2XLBF3NdjkyzOWlBVz0slup+axAVG0QKDFdR+tyMSFra/J5s1H1SLCx2gBnTkgGqjYwwVfdLeifBx4V1Njqcp3YFdkGxmcTMbaQlzT5X+WqyDKrRM5IS3KXCfAZ+qrnlLv1rruY1xr1aq1KtSJRz5PHZVzYwJNcT05MeJRbaquQSAYp0ixIkvTJmTazPEJsCmStjqPLWh8UziLDo8syP2/eNka3JSH5GyeHpQczYHsy4IV2j4ZmNHcODvA1b5Xs0RcOLdJekO/ECsQR7hR3CyrEirTrdVIaTUE5tbR0flPFGIJKg16rxblpyVbVF2ZpKFquOTDAKc0QBooGEZ3Q8ccZJzTrVa3WGB4eBWBW7xPG+GA49H3G0mYpJpEMQK/X5/YbJdvRrIpOnz+8znrrlHw3qBc6vcYEkcyHq6dOkzaunXFgAuZnz+mXszwLqNmmxA56XrqsQLZJ1CTP/RY4SlyWOmnnqKAMrBKSm6rLUsno3ChN4DKl+X3N8w2GSJGQGYYHLsh533SwQbst13HT1JCghIBMCWfnWj0izTztGh5k59dKxu/TT6+wNqcjX8uz/xUdW7vdo9ORDNnk5BQzMxcKvAibKdn/x96bx1+WVfWh373PcOffPNU8dXX13A3dDA3NKJOACE5BcUpMjIlGXxITYzTPxGc+MWYQfGgMRiVGBQ2CiiACAg00TTc9z93VNVf96jf/7nzvmfZ+f6y1h/urQpJQ9fLw3fVH/W6de+45+5yzztprr/Vd3wVd9DHIlC1110ogZXsUBAKCeRocSWWBLo8tiErILULIcTtY8ThhiF+Gs3SqgOTrkSLA9deQ7l64SOfdaLlWwoSC4CcRBBAGhWoQXVpBmTHoglBSAKByCINkMsOBtC2jIUrWZukig2QySUcvsCMDZbJ/QkLoUcyBpi/gDmAy0CEsrtP7OqzTuZTU+PI6jeEdSzW0mIvqBbtmLMpJMUfBxeEQAR9qT6OKd76DdOkTDy2jt81cOWuEzmxMTKE0QbwUm9s9h7ArUkjmzroaaNMgCFCfqGEwzKAYWaKg0NygzNfM7D5srp0HD4b+KuUIuaGgubmJedsAIOR5MUkGI4gUZQn5ApSZp2PQ7eHwQbrGjS36vhlVPCSuO7pWmSV3tsguGbgMoIfUo+/5GJxBTvOh4xApBEREk87EzJzl0DTXMBz0ETK3VxBFSC1/ThUyZMQGjzGUArllv5XWFvo2K+OMbhCHFhWtdYT7mDPmLQtT2GzT5xsWpgiVCkDy9S73hghNw4t6A3vfPAUA+NLJFrbXGG2wwqT0cYhnn3kUAHD06DW44aZbAADnz55Gv9fGsHXl849aEyeaEMIifeqNCTSbjCwRAYLAoLOM8YJtQKGKDAEj3fI0s9cfsj2TWtqGKELEHsJKWFTEIElxeIGe6cVt2tbaEo6LSfuwYMDNR2bekRZJDAROz4PQA305nyVmHpQokpavR8ah5VNtTBA/UZ4liPh6gnLVckpR1nvAl2HsTuC1gXe2SQjhQMx2LBpRhQmYSxKPJLTDvjDAVpfu1bH5Cev/mXl5LUkQMKpuqVHF615N3C+PXOijvU26lJzn+ytjZEzYuzB3GI8//gjfhsI+z6smQkDrwj6+arWG5jb7mWGIWeZn3dggNGqa5kiZw1TKCGlK486yAST7jgZZQvfTPX+jh7rQthqgKIB3vZkQbMfPkr9VLkdoTND8lxfKcj4B2jbQGCa8TQQeOjmEDrgZkSrwyU9+BgCs79lsm+MY2clJB4wgKyyiRjqko6wD2frOm+gdRlm7KiySELBcdTkQTrI+QeOhLt2/N8/X0OzTfT22MGn1ySCTN5MUEzU63t5GFW/+ZuIafvBCD811fjZbdI6JyiL+7g//MADgmaefs/y4C4uLuPH6a/D801/AlZY8L7C5tY1du/fg2WeeAgA0GjXbVKVULiNjXakz4uvc+WXnxwpAGWS5KJgLDpYoHkWOgJF9RVpYhJTUGpptQSDLeOFRugenlknvVjc8P0aGdj7RKrXHsMT0wv7D4vTD+JqSETAa2lVlFM7mEWLQHIOPH8TOh9ISgqt7lIohQTbENMOKwgjDgeFlFU4HfX4xM6hUQDa4+qE6iQe26f4eXJrGBtumfRMlhJF572i87V6CMqMQ909Nov4aGuf9z62idY7RN+0dfGUAFCK0uTlGXK4iSa8OEl5rRdU0XpHS2TNnIC1yUto54guf/RQA4MA1R1GboKqKRq2ClVXyqVSRoF6ndf7WJnP6SgG7JtIagz7dt2Q4hGAfJMvr+K433AwA+OIDxwEA25tbiBiRlBWucQFxaRmktMd36Vd52cZObi1lbLsUwvpMaZp4SzDfBvkoLg9pbXzseA7IeL3qN+qxSEPhjUFZuxyyzc77CUqTzKMchLiPOSe/ZaKCda5KOjo3gVqN30FuPrTR62OjTd/fdngvvutbiNf6U48vo71Nx+6fob+DbgeSkWCrqxsWda6Uwq5du/G15Bsu0KVUjm57C3NLey3Ef3tjA70eGcVzZ05hfoEIkAfcdWEwHGJ6cgoAsLq8CsUPanqyYcnmBcPrtYztxNTv9gBekLe3HWncRGMWhw8dAgB86k+J/FN4RKpClp3zBuHIJj0x5xDSGcegFEOlxmGP7fclXpg8+vhjtmtYfWIGbSbjr09RkKTf76FUot9tbLcR8cswP1fCZIMIyA1p48rahlscSQkIr4STgxRhg461e3eAC21HCC35uKEIEPKL8+RyG8fmyClY6dB93zc7abvX1OsBjk5QoOtUX2I5pQhX1jQORAS/g9PSbjIwwyTDmZPHL7l/V0qklKhWyqhUa/bF3b3nIG66iQiNz5w5g9VVck7SlMkEpYKBeJbjCBqmXE4BmrstMgFvvz9wnci8BT40sLhADmy5voDJBjlnp58igyM0UGZi9onJeaxvMVxWaGQZO+IMmw6iCRQpTSJKeQFMIa09DUr0bFTWc+WrRQZzz2VctZ3lbPeYou8WtMoFQ4WMLJGvaZ4gwhj+qtmRYrpJMpqgc+3bF+HsJl1bECZozNO+sQyQsYPwxMUurpmhe7LCDt2+mQkEPBlMNEIs8ULl1HUTOMWlAJ0uXUMYTCLPXdnNMpe/mu6e/viulGilkA4HkNI50BqZvYV5IVFvmMUkB3KTgb0/UrpyrrBUR2EIv40j5JWs6mJodUkAUFxOPEhju47fOGNbCboAWVx3Qaas78oqlAk8CUcwisAGUKEBnXAAgccjSxOWpJKcdBeQkqHvAI5cBn/msY8EufzAu7k2DVgHQFvHqbxAf/fMS5xa4VMFGnGdThIIiZjfyweX27hulnTpHCcxDs5OQrK9npqMsFjlZhvHlnD6adK3tEXfD5MeXn7XXQCAEyfO4+QZCiTT4uvqgaKLIkertYWpyWlre4oC6PJCvFQWzjGxBKGFR5Yd2aYI1KGXHZPElFs4fYOQboGkcgzZGamLED124M48Zbq/+Ys8/xguwOV0NsfoYs5enRc498p8jCOmNDR3zWpnKQQvEgyhr8q6tvo9Hw6sjshIQoECYCFvK3QAEZhOmil1SDYD5oOEDVrQHLqmgRNnedGkNGIOthQKqHLHu6dX+zg6Q8c7z0mz+XoVS5OmvEFhnm3l/O4J9FqUREsjXpil0pa+Hz/+LGa5kc4zz52ARN8Fl6+oCCq11dq+381mC0YnlCqoVBnw5ihNJTIAhJBIPcJ+Y4pMgFEgsPdSK6/JgdAAE9IO8xJuufWFdK2/90U3LltWI2AXiDJ2iwGPMN9Fk5Qj7oaCdWVtk5vCJhiyPIY0+hGEmJ6heTfiUpPWdh89bgwjhLQLRwXXPMGR77vgn1a59fM0XGfUeIbm2t2LAU6fovsTBGUoXtwVuoSQy46euNjFEdalizx37Z1pWF+yUQsxx/Nce3oBxx8iY5dE7AMMM7ugefqpJzExRT5WfzDAS19CNuvLX7g6/pPWGqVSxb7S/UGKKS7J2b1nL1ZXqMRJ8DO95ui1GA7N/Qhw/DnqGAvldXy1jT60tWkyiL35WsMs1pI8wN1f+iwA4MkHmgCAQa+LwgStgxCay4apRHA0IKW97ndCaFQ5udloNLCPCY7Pnz3J3xcucAKB0Xntcr6EN1fb4GvTBa0skXNuF6omxEV/tCWkjrjN3b59Mc5scoBZZphiX6KAQFjQ5ycvdnF4huzURZ4n9s5OILI0CBpH2Nad361Q4qTp2U3Sq163iYRpMmZmFjDHHRQurq7gfb/+n9Br7wzUff2ilEKv18Xjjz0GSC5dLzIMhuzTDFNLEK6xZn5lf1+kzt5oEQC56WJP11moDGBKCFmquucvhJ2+B6lAwI1b1k/ROaQUKPPietjvuiC7BhSXTvmABBtMkQGE3Ve58lQ/Em66NQZ+QFN4NA5sg4pkRNWECQTL1E795tUpcjhKEQhAesEk1rGAS+0XFwuc5/I60c8RT3HHRK0h2V4/u97FQbZNTb7O/TOTqJbpGJOTNUzxnHD+4BL6TQIKFD1+h9PMzttCCNskgOaRq5EaNNcKQGjbjK4/GLg5XwhHvM5z+8bqGdtEbHZ+DvUqXXO7rbG8TO9FzOvqNOm7jpleslxpWymM9iDDbTfdBgB47698nPZVBVIueYQMXPm72tGAira6jxIu3xO4pjqmYUoBgZHidJscDy497Iivqp0+JhdGg2mgedAG23RhbThEYHVWcKfKYwciHD/DNncyR1Cm908BFpjwxIUWjrAPfoF98MO7ZoAB3ZNypYxDPL5D1+7Gsw9TMnfAgV3d70Nz4xClvFJcrfHQQ4/vvNBLZFy6OJaxjGUsYxnLWMYylrGMZSxjGctYxjKWvxbyDYfoomxKiMbkFNZXKNoaxrGF8iVpG0NGcjnIJ9DirKrKE1RqFFlsd4YIGHkjQhPzy6CZ8DOoLUAqyrIVWqEySdmPxnQFd99DrUvDGkU1s+7ARtO1VpaIkzCUHL332wh7xPQuiyUsYsGWDQoJTq5jaWmXba+rIBEY3laG9ZYrJUTctno4CJBz1mFrI0N7m7P1nAYItEJhy5n8DLK0kV5dovtwsRlAMdy7NBtgT920/dZopxyFXZq09/u2/YSoy4oC1ZggockwwyPnKOL/gukqzvYMesi05y3bDK5CjgvnKaK778BBXHMtlfMdf+oirrQopdDr9lCbmLTlZHt278K99xJE+9yZM8g5ax1wKUSew5IbDlNtUXl33fUybG0Rsuj5557iy0stZF5L2Ci7DGsoT1Im/+D+OTzEJbCtPt0X1etbQvvB4AzKNSL4m5qsY32D7lPOiqGKgYVSa1FxKBtZsiTMRcoZa7gMowhiKEaFCS0tWSIYrUVlbNxWNu1CRNzyXCuL6rPoL1U4dKJQcBkbB6HVEY3x3FYAwfeyPDHETbOMKkOAFme9D87XEfDxbttHUPtcFZgoT/A9yfDIGUJpXTdRxck+IxI5U5anfYQVk20vcOzYDQCAbreNlZWLKDI/T3alRAO6gNLSoibCkrClMoDAYMDlxJxtkkFsM2+qSD0bohFZmDo/72EfrozPZYWECCBKjHRqZDh/lu+Fse6Zhs2A5H2IkGwWgjJQMDKAiVtR5NDGTmUD2PbrkHDNNjjbmA1hcyVKQTDMX+cp8j6XsFSnvZ9cJvMthENu+JssysNDvWpps9+Ks/3nm9oiGxGmmGW9THONzQEd49qFCYSMtnjBXtIlpRUaJSqDaLeHeHSbdOmlMw083+N6asW2PWniEx/9CACgMb1g7wOVM1y9zKQQEmFURn1qDlsbRE5NtojuQbe9DRnTNVggVda2WeGF3fuxacqYAVjdsYllCTuJaG31DJCQnMHcu28arRajNiPTYtohQbGT3F1c5r0aAXl5uTVXj837KXdcvxREFzAIWilpPqlMzKPbXLdjN1QACCJUOWHbH7BtE4qy9+ZkBt0oBMBZf83z/+nzGRTTIGAqxgJngkMJrJjyoKW6vfqbd5MNH2Y5yoyOUGmBExuECri+WsVpnp/BpVHU+4WOcPr0GbztHe8EADz8yNPY3upZgvgrKxqAQhAGyHKv6YMVcUnTEAiHPB9BwPo6b76HQsC+R6GkLaWGkFCsYwuzdXz27gdou0E0ILLHJqStgSBLT6nNefVlTQj5TKNIQkB4aKsCQejs6vY2vd9Lu6jJTJEXrq16VLHIHYEUkrPXZi5K09QijTQ0hHAk9YakIuNS+3PL2qF5kGK2ROdIshxbA/rd0QWnSy88RH5Td5Ciwn5TmuR4bpn8nr0TFTzNdtWyOIsyXDm3wqOPPgwAeP3r34xezzRguPIipUC5XEJWKMvSUatX0OJS2OGgi/0HDwMAThwnsuDhMEHGdBrNXtc9qkAiEK4RBm0LAS6hF0E08thDRhJMTYc4z+XAGftjWS7tPS/yjOY4AGZuJjG+tzvm7PSsRZuFYYC1VVpbrK6S3VU7WbPNO0pwanNT3LlwqU0UQkCbd89HvFv0snC2VLgBGv/hzAUFzX5eo5Hi+hrbLqXQzWnfWw/NYci+0PW7CLk4SHPM18k2lWOBE+t0TcdqJXy6RbYp4Dr+aw8cxa+991cBADMLu/Hd3/lmAMDWdow9B47g9LPLuNIiJVAtSwx6OSKuYugPBQSX5pXLjqZBWP8HXplyYX0PmjYMQo7LEoPI2X/hymCVymyDgV1LEzh3gVFjZgmmpW0YpXQBkTsktLELyqDuiwyIanY8FjXmNeawdg7aUttonblqIqVHSqTpUpyS6iLzEPiFB7x19tNHRArPvpt9Ci6JvbgZWhsiKj1MTnDjp7xAN6f7c/2eOpXDAbh+boZvClBmW7m5uoY1rt45VC/hHPv0qekLk2duClcJ3vLNbwEArG9u44knCIXTM1PRlRKtkWcZkBcIK6TzmR6690pJrzEN3ete0yECm+upazakUhSGasa6Ld59lQ6NJ6ARclOQb379Xfjcl8gOT87Sfdte3QBM4zsE0NI8s8A1CPBshvbRfxaB7lEM7bhm99nzr4yCmAZX8JtZeaWNAhilCqGrNDEMrYQbL1wVQcH2+eRFad+juDzArZNcoqg02inte2xx2ur2Dbvm7BCv3Uv3RyoBVaf7d110Ec+rUf3XWjiPU7vLEFLgoYe+cuk92SHfcIEuKSXK1Sp6vZ59/tVKBSEbum6ng+0WOTKz07TImpmZtb9vbmxhwJDeuFK2zkkcmkUjMBiyo1MMAS5XmJmI7UT40N2nUCqTIxLw/Dc5M4vN5rY9j+GoEDL0DI6r2zeb8l7HcpFAwJW5sTHRcNDUi2e7Fvqc56nrmMQGRiiBAUPwtTawSCCIyraePTUdQLwSRJV79boo7CRebJLDrydqdoz5oMCdR+m+7ppp4AZ+WZ48u4lWwgPlBWYAoAzD/SOsI7DWHWDPfrqvz28abrQMVh1FgDTlErSohErZOCtXQyhw+opXvg73fvFuAMD55Q20WwypjAOEDL/t911HCmU4X3TfXtejDz9gedoGnRbvKSFjeoGFcHwNUkqcPU6Bv986fsZrUujVaWvWSSkxHNDxLvab0AYu7U/eRrd8h0wlsIpm9CmI3OcisWOnkpZgZN9CpZCmRDEo75hYjUPmO2n2jlrjbTcAKNo07mAyhAhpnIO2xJFZWqxP1cq4ZvcUAODp81vYZn48zevOspSWuSIQApIDZ5v9BHv30EmeWTcdQRIcu+G1AIBDB3fj+LPUHmZzcxPlchmD9GoEungSUAW0IluRw5Xh0feurAIASuUS+t2h+9500ROutMu85yIMoE3UW+f2/dYyAFqkN+cfKeC8rEu5EmRYsQtAoRSUWQgYBQwiB/2Pq86JkhE0d6CFgdurArIywSMXXqllAcHHLYb0fstSzY1HOJ4kMRL8MMEtfzJ3QXgh3K75Np8r1NCC9STVeN11NIkemp+wpVRPnNvCOi+wUm7hWRUSEStmNY6xzfZxtZvg2mPkID20wY5gaRE6o8BFp7kGWV5w47yKgS7imxggHQ5tsiOqziNPKNlRqUxhODDzhBmHQlwle9PttD0uOMAFkZwzVCmRUzfo921CBiJAsU06+fAXV2AX0tb38hdy0gs++A6XZx98Pi/hjccezxuXDZB472dRWAdfF2SXe50cQhr4unABmSLFwHSm8+ZQ4yDKuAYELuhrFksFvz9FlEIaLo2OxiuuJd6IvbN13LKPxvDImTVscPnnQNJ4K5C2K6EWAhHPl508x9FDZN8ebvGcoCUEOy/VahW/8u5fAgDcdtuL8NBD96Od7gg4XREhx1UVCkFouuvmnv0GRpITAKijpjHqGkKbZIrEpUFTV5oihfQC1QLI6b49/1TugkgB6Sj5O7xv4TiKUBSuVMjjCbRljJ4N4R/TX7P4CCNXViQiVKoNHk9gu2436qT7qxeXXQmRKtwiQxVQwvBnkS7JIBz53t2f3OqY6vLdDCSimPV2WOB115LdODA3gZDv+BPnt7DBgdWU6SEqMoDkc0ghIfh5bfVSXHuYxv7AsrG1OQBTJiUw5ARiIIG5uWlcLdGaAnpCStu5NQgcz1uWDdHvs+1nXVdFihb75t1O25b+CMTQmt4n6poODIYDlHjhmGawpadaC2TckfvkY25CMI9EBhKKO4jpwnUC9YO6mpN+9YlJBKxjW1sbKHGZ2vnzy87+2DnLS8ho5em9HC2tpSsdtYnmUCicLo8kBLxFrReEs5xQbPtVCEjOUTVXBPbdQHZl99wU5F4uvT+/gSYnzjKe/yqBRMq+uZQRQkNv0kpxYBd9fuQs3dOnnnwQk9OHAAAvvO02/Kdf/x0AwK7du7By8ZzlLL6Skuc5Nre2IHSAvHD3wvhQw0Fi6WZMR2h4oAAZla0uKVW4DvFmXy+ALiFth2KtChiP8sF7LkLlpss5l4V5/EfQAtp2niuguURX8Pyp04EtZwziMuxzlJHlW/NVwgXAleOz9OZl0y0ZOvcCEm79UKQZgjL5KcIE0orcczWFDT7QPMnzI9MBaCWtLdZ5Gd9yPdmmo0tTCNhPeODERbSZikV16VhztRJCs6TQgOaAXauX4eBeeu8e3+CSyCC068pSOcJffpZ478rlKqanaE1ucopXSoQQiMshkqHjq4ZOAQ6cELWM/76B3l8TaFdAxjRIEO49LryAo3kGU9Mz6LS3+XcFhlvkI/7HX/w9e++1P5/ZGFNq88da5QCvD0fcKLu2A9y8fDm/QHq2RHu+lscDZgPwNaDoeTfLL+jz7Jw5remsDW27IGrvd5qTNXmeQTC9Uj6Icd08+eB75yZx2yHa9/HTa9hOTFKCbE5Vhoj4vq6vXcT6Ofq+MTWFaw7RuTcuEIcgoioC9qmywvGeS4wGg7+ajEsXxzKWsYxlLGMZy1jGMpaxjGUsYxnLWMby10K+4RBdYRRjbtcB9Lsd9PsUeR0MehZmVxQZalyaGDKUfmtjDe0mobhkoCyJbZqmFkJqspFhFNoUSp5oyx0ZlyaxZx9lOi4un8MWR29LHI3t9YcOFaWVyyCMhBINXNGhAIJKAwWjl5CnrgTjcqUCQiJkaG8cR7Y0w4Q3d+9ZsiToJ559GhF3WBz0enYn05FkaWkXZucoiv/Mc48A3FEJQRk5E9ZLQ1Tb7iKYpvPunosRcEQ2V8DuKcrAbVW6tltVyJHeBzZbqPH5piolDDiLUalG2LOXjvf8QyZ6Lr3MReF48oY9nLt4HldLKpUKrrvpFpw7dwaveMVLAQBnz55HajrzyAAh69ahQ1TqcP7CMnetBMGNGfHVardtpzxZNlF6V/5HGRvOHBSOUI+Q7h5k3fyxMNXCZpkIueFlCejALnPglcJSVN8c0JQHCiiDsvM6s2ivbM6RG2rbgU+GVYtCCLwuVzaXILR9b7RIIExJsBRQqSlv5GxUZwhwdP/I0SkorwzK6NP2VgdhmTMKQ/r945sd1Ll7Xj2OMeQXOS5JLC3Se/MMTFmSxJMP3gMAKNe/Da967ZsAAB/6g1Vsba7uINS+UsJIFwE/xeySw7lCYfWKIfrKgxNrL/urcksObct5RogrBcDE3Mi7GCX3lDv+CkfcLIS9dq01pM0cGbi/gGC7Aa2g+flrlQGRQX955ToGbipd6atSLhPmEKqFI2j1stz2us3YwOhAcz2RhjQsn4GEzkyjBK/BA5cEzU6XEJrOWlmO/VNTAIDFSgf72W4q1qWHN9uocbnaTLmMlDNw5ZLErkmjj6Z7HxBXCGKdDlt2bDIoI082cLVESolqtYJBdwMBP7+st4Yyk6WGgUDCN9rc+1AK+8wa1RhpYsiYq2hww4vm1gb/JkCScle5MCaEJ8DP1yBEAYfw8fNoRrcUHOpO7MhEsnion9HSsx15Nq/r2Og75Gq+DTokz3IHdQ7KrmMR/K54/HUYQvGxJqfraHH5lwgDqF42si8KBQT03PfvmbBdp1JVYGmS7t9iJcQBtk2aO+l9eX0bVZ4nJkoREn7HonKASbanhw8cBAAcf/Q0NOi5rG9s2u7IC/MLGCbF1Sld1BpFniIIQxS5Vy9iT+WeqVb+81b297C2FXZfhwJ0z0iPlG4JpzZFalEWzj8KLcKC9M6zb651rRvPCNJGuu0+msZ8z/tGgUa1SrbrjW94Ix566CEAwFvf/AYAwPr6BtZWLvAQMgSM6FMq81A8hiagsBn9mcV5DBkFkqXC2qbCIqYFBCPJJqeGFu00yHIcmSe01d52F0e5iUGvS/fhKytNVHmea5Rja5vCkkBV+++d/xeMiKR9P/HnH8GNN70IV0u01siLDJGMsWsXNQ6K4ootfy6VItvIYGmJumKdPn0KKc/7GgIhI9XyzHV/TTJGxSFClpoy/wIhZ/OJ9J/RKQrW3/LVQpiuaF7Hc5X3bYl7yE0IlNIoeNvU1AQ2t5t0rCByc65FSPj+eLEDDbFzHz36nZ0vQ4eG9o4vrJ0DBM9TCHJg4L8XhMaZaNA8ND0hAfY7u2mGvWybpiOJvbOEsgbr42NbbatPYSaxyWjd2mSEKc3zBqO88hRot6i08c1vfj0+9ynqTPf+3/4dvPwlM3jJHXfgaojiUrxSyB3dogpybhSW6xCC53uD7BKez6zyoS0lFEFoywlDiwCBq1LQypWdytB7jhJWCW1JZEYVEPQfZ49kaPe19qwUO19JwytD81TIrP9k4KontEPh0Lw1im4HAltqSU1AGGUu4HUzdsfVuaGt0BCs51poqwsOMRsCAa3zapOBnefaSYI93IBg30QJByu8hmRdfOJiCzEjaKpRBH5dEZUlFrnh1ROMGtLKrQmG/aGtgmq22hgmV6nrolJI+kNAqR3vsHl2Eeyi3nQXV8p+r7QEpKsgajTomjpcko0gtDau2dzy3BW3flWFcog9v8LGjqeAC71IgBt6Wf9apW46kxEuN6eNOlg+TYz3vd3FNSjQklCgyAcj8Qqn++wDCEnGAACkNsVFEGEIPTB+l9HhDAjJju6e1wiZcqUzTLGL13NL1Rh72bYVrIvPdAdWl2bqZSR8M9NWC5XYNGUw/kKKpE1+a1BbsAjOQmsUw6+tS2NE11jGMpaxjGUsYxnLWMYylrGMZSxjGctY/lrINxyiC0IgDCUgNEoVyrzFcckip7I8R8yRfJNBC8PQcXwIL9Lp1b+qwiAIBEyGWkgXhb+4soZOi7hRer0+jhw9BgDodAmR1GpuImKS0jzPLP+Vn3UaFS9ratEWqUdsabgotEXjQHMrdQCBlJibJ0RWa5uizUWeo99l4lsZIhsaUnKXNTCH37f/EM5eOANzoTNL9H29WsXqWRpPj9EnshColShjVApydDkavzet4uTyJt9rieYWE6lzmP9FU1P47DIh39pphvkJQiL0lELEGYSlI7Rt5eQQVh2VRFEw2ftgYJ/j1ZBKtYZbX/hifPTDv28j/N1uD6USRdfTNLF8K2vcCEBKuFbTQkLnA/fZZE5M22oZeSgHp3tC+C21tUNveZw/Rm+UJRME64ohIfCi+iZrqJSDEXotYg1xucoSixoUMrSooZH225YcUVpiejqmyazD29dHIzlS1sX9zANTCKyf4cwAP3NdFBYtGCBDh/V0Vxjj1EWqeY/DCBubXR4znfe2iQl8cY10vRJlWJig978rgIiveekQjXflpMuKnH72Hpx+jgkSC/M+fe267v95ERBhxGTdBr0Z8/9ZdiI2sxQiZp4H/9kL6TJ2flbI52uwDQi8bORlW51rrw12xaKhRBBdchuEl/HUWnlfC4vIstwOEG6MMoLQ5riBQ9sY9p8ss9lPMYLA8K7JDrcAcfYBUMD8Ih9Damys831l8t1iOIC515FM0eVmBruHJZxYpgxQHATYaJNtylmX7piexKcvEJl5N1fYzbapDYWYM1W7D9C+y8d7SLnldrlcgmLeijxXVwkZaERABhH27DuIUyfJVoflactJoKAsx2StzGi6QuDwkZsBAAESbG4/AQDIhgNksSEX1Tz+1OOXUd4jETtsy853ZQfSx6JGMYq+oR283+1A8u3cxWcZ1cJ94fF8pdxoZuT3xdDOawhiwGS1PYTh7AIRfadpB/NLtHMYR1g+ZdCLTHYPgVKFOSSCFNtM7DyLEMc7ZHvKYQnr2zTvF8zVeOfcND5xhpAQnUJhrkbH6GmNao3ucT89TcOOA0Ab3pYSvvd7iYz+2LXX4clnnsbxx8/i6kiAotAjXDAWTQDlAfaM/S+gPbSt8Bwn91TN87L/7BBlEc/QCiqn91Ca+ajwOWhCQPhZ+MuIj0Ab8avE6Pe6sH7VwQP7cfYcNZv4/Oc/b3miPvYJQqvc9oLbcPo0oRjW1zfQYw7XLMmh/PPxuIy6N7e3ML+PkR1hGb0WI7YGdI2lqISUEUNxLJxtKsrY7JHPMF2v4uR50iuDrn3F3ll8/HkiQ+/mBebqjKqQsO/l0lFCGqw83YHvN/kIleXVzcvfwyskAhJFnuPiRdL7er3hqinCCAFz4Q0Tcw9CJIlBySoUhbEbIQJpbJJBYwbIjSkJQ9tEifiWDIJFWMSI42sTloQckM6vL3IYjhtzjjzrIWIk01azCYtI1B6Sz0HW7ffWXzdideRyNg/uWFLYJkYqM0j52OmYEJinogGEsoRadAQAcOIUNb7ShcI/+0f/GACQdp7FI/eQ/tZ1Had79KxjEWFli20T34ZbJyfxRdaFdqaw0GBfqCwQMUL2uhsIYfjkQwlmG4TA+7Efeh1+7IceGrmUq+E1AQJChpBBjGHfcPZ2LOKvyAvPb+KfyNA1XQoiO4+pdOB8b2tLJCy/UTF0V6EKCG5SofKh16SJ/VTt+bw8TgDEYRoaf5J5Z6OKh1h385U/d7rmQdKhjhFadAr58MYfNwh7D6Vjf0PvgDC6bcerLWJQqxSLe5hDKUmxcYHnN7bFOk9sdU8UanSH9P2kDnGm36J9tcR6h3zwfkLHummygS+cJ7+qUs4ww7YpkQJRTOO59gWkxM/cfxHakIqLyFYQXbx4AQOuxrrSEoQhGjOz0Eqgy3ZcZX3ng6vE+ZZGmYLIEtQHYYhKg+aCSilE3zRNM6RahZtXzBxuj6RcdYQwzQbM40+7sDoYNVwTqKgBZPw59XwbM7bYW+/5fr6/VrP2w0dSe/tYVfTmB63ceOAd9jLoMA2BvfuN7dRYOc/o+ph/VAChIN2sl+posy5VVQnnVkiXAhlgkyvFjNre1KjhwRa9wyVZwr4p5vAe5gi42uKaG+lvd2UG1xy9CQDw1JOPQzFfaHN7G/8jVumqRRCEEL8F4K0A1rTWN/0V+70IwL0A3qm1/tDXOq7WCmk6hNZAzpY8hkadSSzb7Q4SVpiapoVwmg6t86aE50zDOX2aJ8okd+VBOh/YxXsQlC1BeRDFWLlIUPeMWYJlWKJuD+BgGnveqkhcDIMVNowCaGkW/UPrEIhwygbWFJcXaKUsOTQF4Li7ZL+PhEnzTEnZudPP2wl/em4O29xdBUKjWiXHyATHHnvkK5hemAIATExOYm4PLwSHGi980YsBAF+497N0HycbeNGLaZvqP0wLPADN/hAXO+zUKYCRxki5pGw9H+IF8wSVXC80ElvmBDv5z83R2FdOei+pzm3ny82NVRSFM/BXWrY2VvG7v/nLyNKUHBwAkzNzaLfI+RwOBtiz/yAAoMPQyZtveSkeeuhBAIBQGQpLhBtCxl55lvnklXpZzdMKQphgSGCDHOav8ODRI8fzCXmVZ7DNZCj9ksidRpBLKi1UunBLl8CV7FqItQgsIahG5IhdvRISRxyuoNnY6TzH7CKTVDZB0GnAkseLOLB+wOHZ2BKlbog+NnlhGSuBlBeRzJ+JbZXh9jnSp5WsQJ+7ESmhIUv0bu1a4kDXqb4N2Nx6yw348n1P8P0xJI1fZSH1dYkATR4pbBmQF/Si52RKwkwQOvBIKIUlHhZeUNTe4yLzFoAaOm175/UnwMsE1k1QTKd2EiZ/bLQj7EiwLYjhd4o1QS3/TMYpFBqOmBnaLlgFO4TCL+HYEVQ1ZblWr/XAxU6Uwtw8ORTbbeXU2TTgKEsIJgS/dlcdyYDeiXU9wPaAdalwJTG5p0sv30XO/flhjj5/keQ5yhW6ptkpGsSydoukUlzFgcOU5Hjs0a/AJ8u/0iKEgAginDn9PHLT/CIsA9yZrFaJsbiLSF27LQraVSpVrHAZVq+9ZW21CAIMOEGh2SEXofQWdHKkzHSk3HCnc+VvE8JzHIX3u8tckIanv2L08+VvwKWf7SYN02FIiACa514hQ8jaPAAgtJ2LFZQmXUizBNcdJV9hc70PsLMmmYhaFwpFmbYd21XHkEs21ooe2nz/YuU66xl92ggyvGiR9OniMMOAv1ASCNgO7Vug+37xdAqd0niSXhNrq/TsXvPqb8L3fM8P4P/+dw9f/n58PSIAiHykfJ46c/mlMoJ3NdsC2IWXb2OE7ctKpR4AuGbMHcpTBJVxEwtI12HMnMuzBRq5VwUrvKCN1yRlpMzZPH/tzUNmHgytbh8/edqe48z587a8+YknaE44d+EiUiZU7w8GtoFDICMXeGP/MYxCRCU6R2NqGrNzFDRrdhMMTUk4e9WJSmzpy+EZhXRI93JFdREntFOsgCoHqc9vkC+V5Aq3st+0VSgkPB6lgZC76+6a40CXGNhbvbR3LzY3SZeyPEevw11Jr4IIKVGqlJEMBpDCBam2NslHmgsCrK3SZ/PMZSBsCXauXJlyEEhU2D81dCRKaRsMEH6ptDa6CEAHrlGLLWfMnV+FyOpZEJdQmAC4+X0YITdd1eggfNzLzKEe3cio/+C/F/C2mSCLZ8NUYfMi199ES6JqrYYzFygIW6lXMTVPPvvWdoqjxw4DAE6uPGev/V//4s8DAF5326R1/7bbfSSmw2AG9Jg6xDR7viCHuJbL1nW9hAETnReFsqXgt15HwYknH3gWVd73M/eewWSD5pfbb6rjqonW0HlGJb9eMswGPbXyGvtyiVnuErZ+J0XyN2jnwrRPFF7iMaw537VILIE8ZGR9MtuhUWfWfwGEDYoB7nwucOCvK51tovWjV6YIUCDWn89sgC2y4zR+mVa5p2pOJwOvuY8unF7rwIA0JOam6PvNZgFwV01t5kTpAsLHdk2gYHqRLlK0mRInLjSGKb/bHMTZzlPcPM90NQrIlCn507YzaZnL2FQ+ADTfPxmiwx0ade6V5l1xERAiRq+/hZh1e5gqq1cwJP+Am0tUDjOgSrWCgnVikGv0uhzo8hLMNhHsmQghQm8O0p5v4yiBbPI369l1OtI+RIkCa9oEvJTv5/sJx8v4mkLAvRyeT6WUN2Z7ANj3IJ6wTTkghTcvu3Npr3HQ7j30/m9sZUBsmlWZA0eQTOWwfzJCxs38uipDi33wKNd2PWcSVJtZgusn6D1aPHIQpy6e5ssfQHIZZ6NG5zq9uoXZGfLrXvDCl+PiRUoGdrsdZyf+CrmapYvvB/Cmv2oHQf2s/y2AT17FcYxlLGMZy1jGMpaxjGUsYxnLWMYylrGM5f8HctUQXVrrzwshDn6N3f4BgD8C8D/MmqkKjX43QafbtiSmAgoZZ3STNLERviGTlIVRCUHI5GU+CTgUtGHTC11mSEemXXPZZtv63SYkR/RrjSn0OwZiy9mBdGg/CxmjwiR+vW7q0AcWdSMsYSKgbAmS0AkKg+uzEX8NYYg4i9QDQngwVttCvgAiQrGFMkTMrW/TYc/C6S8uU/ZobmES1x67AQCwtnoei+UbAQCnmk9jLVsGABy9kaK45ZkqugllP2sisJH5480+js1SFvt0p2sDywaeXY4q6HCmdDMdYLVFkfI9Cw2kfJ2N+Skeu0GnmLtC11SvNbB3/z4AwAP3nsKVljCKMbe4FyvLK8gYOpQOc6T8uVSKsbFyka6Ln+MD93/RRed1AhsvVglUzpkDj/zbQJqFcG1sdZHYFsIycuVkPrRUmXqckWwRYDJEFmJdpLCpcOVaxgPCRs9NhkgidLgy7SGMPFSYzZiK0BFwovBAHqF3DnMfCquSWmk89SXKFlSWKgAjFo8cpb8zCzEmBd2TwaAgxCWAXquPa2dIny50B7ZcwZyqXq4i5Xe+kw6xvE06vWemjpQRFOUJc/9TCEZ0fvELn8YUtzPeahUolWKk+VWI8QsBISNoZB7qLh+9x16ZK40zduVvQYTR3INHJg/Q87BZnR2omhFCXJ8gmvcdKQ/iXVUGm3k2sHr/fKqwaDztkTDbxgYWqk/X5jLwgrOT7lhaSdeiOM9cyaOQXikVbwsFwDZcqQxPP8b2ZDawWajD11JWUTYmMGurQTW6PdKlky1nm5YHfafb/DcOSmizbWrmKc6vky5dszSNgiH9uw4S8e8Tx7eht8jmtZpNSINyEWVoceXbrRsRkpAOYRgiyRjpMOxg1/499lpMFjFnaP7s/AK2mVS5Vp/CYMgEniJFYCAAnAnOMy/rJwP7XM18Q7sWGIGzg/9rS4Vc4wGXWfR+4uumL5drCa39kg8FD9a3A8kD+DB+rXJCagKQyC1hb8Qtrwud2wx8tdLAw1+k+1Oe04gYIXPkMP09uG8OOmF0Ty6hWJ/Otge4bpb04WJ3APNuBpw1liJCh9/ttk6xvEW/2ztbw4ChztUpJn6eGSJbM8TuJdz9uT8FALzsZS/Gk8+cQr/vlzBcSeFGBeY5wyFzhf3HoTqFEB66S408RkPub5E08PwqAceR4FMvKG3R5y5h7Z6zkA6NQTOeIcc3iAUP9S3kKAAHo9lrAeGR6jvkYpEMXQk9293trXWYOVXrwpX5Q8CW4/O+hc6gDEm4Uthu0vbFQ9NYZKRDHFHznMpijKohzU0ENSwCkA8SvGyeysPObPUQsG7WyqbEE+izf9jKU6yw37R7roaMdak2Sb+RUwK6Tb+74cbbceo0oTlPnXgUaXL1bJNWCskgBURgyZnzPMPsLM2zm+trSNmGlxkh2e12bdMochZouyqk3a6VtN+bUvcREmbiE6HN0BaR5JcHWv9ICET8LNOsgAh3opJ8G1R4Nsa/UE/p7UcxutPOMm3tz7fa2TFN5dIA8ILbbwcA/OmffghTM3TPXveab8JXHvwyACCqrONdP/C3AADHT38GALD74AzqbOdXN3uI2bfr6yEOThIqZKXvbJNpTCUQoMf6lOYDXGgSSmKiGtgSuV6TKEb237YXyTKd4wMf/DB+4z3/EADwr/7le3Hj9Uewvd3ClRdF5eZhyc4LWhfumYoQI4TcAISIIGJDxzFEwX6BCGLyswGL9pMytiT2EgqFrRXVHj1EOuqnAWRjuNSP/ppJ7dLS7xH0sTdO2ncnvUHgfCkACM36TrlySwtMLXk66FUgeQgqV/uqrL3SWuGpx2hrfT70fHBCymSVASarhBqNdIAWV+Z0iy6Osg++njkKnsAi/0MM2AfvFRkutmiumpuu2CXR7ALpYmlhC8maey97XF5Lt+PqUD7UGxN45au/CR/7s49hwJUiUAGiEjfzSb15zPivOkXIDZj6/RQT3MRofn4GJ0/QmrPInM0H+4eX9qPwJyTj/xbuXKaKQ4T2mUMraFPGGBrbF7tjwfOfRDBqj0ZPPioebY0dgw5cvCIfwpZjqsgh/Wx5dkb78xAeeoDGWJ0VEBHtc901dM/m9s9ilvWj00rQZhRcJ1e4hn3w1TRxVCum8VNcRZcbjlSLDHmVqs2G29t2Pbz3IDU6eezh42g2yZd9xSvfiA1GDr/s5a/CxgYhl5/4ynOXuTck/9s4uoQQewC8A8Br8DUCXUKIHwbww4DrcjGWsfyviq9PwchifSxj+Z8TX5dGat7HMpb/BRmZ68a2aSxfh4zapnHfobF8fTKe68ZypWRUl65aHdtY/n8gvi5VuMvtWMbiy/9OMvp3A/gprbUSO6PhO0Rr/T4A7wOAMKporRWkdITlnU4X5ZJBzVDNP0DoLoDIMA35qZQVlyEUgGZ+F2Rcny0jl6xGGQPTulKWoZmYu9/vI+d6WpP9gwxQYg4iSKAxRdnffjKw5MGaUUzlOMaA+QIUAlTKTNLe6SCKKJCXMnEp8tSr/YXHY6Mtb8RIm1DOpGbJAAFz8Rw9ei1W1yhjkzMaoZt28PgT99MYVAntrruereQEAODWmynrODtRRZP5qbrJEJozKTUl0OPs5jDJEe5wprtJgi4jHiYrMUqMjhsUOXqcKS80t1QNtMuCqNAGllfWVhBz04ErJb4+1eozeve+w7j2+hdgc4OyoYPBALNzlGVrbq7bbGO5RONoTM1bPrbm1joRYAKQUeRIU23L9Aw6p2yTrs5ZRI4QAbSJ+ivAvIomG0VZdb8m28v0aNPG2Dz3AiPOgmVmljaCL5n7idkL6FCBx0WhL+USIECYae+ae3rmzqUDzjBPSKiMjjXoShS8T3ctQa3O40noWKVBCT0m6e0OEzS4vrsGiT4TGQ7S1BLWm2srVIG2QWsA2DNLk1ouFAZMeJtYRJ2ARsrXPIm11WXeHgFhOPpOfR3i65IQkSYOAA/FAK/eXkiXRSq8DJEh/BeOx0r7GSL42WGbzvbQfx7SAcJTBZdhMggrXSQ+U5xty40Rfi1GVahslMOH6/gtUarHs6J17lCOYdnjpfOGYnRfBlD8HGVcdfoa03ErVQmd0bl6rQSaeRAHaxnKVSbzZcTlXum4pfppipiJxOuQtoV1mrn3w6BNB4MEXbaF05UIUUzZzVTn6HeZw4QRALoQgEFbJBniMm2/5dYX4fHHH6XxXKFu2b4+lcoNXS6XkWV9BJydL/IU5848DwC49bYXYX3tIo+FEAL3f+nz7vlo5RA3QQTF+pLnnEH00VYeF4gWHtG3kDDtuG02WcIhPbVyMRSvVfro4uUy87vSl36tYe3VCNG4Bi5p1qF8nhz3vhVFhkaVOGYyTXY5LOfo8/s2VV5Aq90EAHRWFSammExY0zNNOykkz6v9dIioSs+9rKXl48zz3NpeGTiC6yGPcSKOETDMcKgL1j8gyxhhEQrIMvMuDWIkKW1/9y//B1x73c1IE6/5yNchI7ZJhhrIEYQhCkbaaBF476QLqgqbAcbosxlBjZqPjLCAGH30I8g7t11be2EyyG7eEVo5ImktPJROyR1D+8gOf3DKfbRD9Pa19k041LzhHAxiaBikiJsz/ePJCtmj6qSEAPlreTfHRI3QC82VBMdu3g8A2N6gd3KyH0MwwqKfJKjWydepCoke8+CoIoNi3e2xvaqFATLOsDdKIcJ50s1EFRgySsHchunZRUwzT9/G5gAHDhP30w/+0A/h537mH+NKiq9PQVjW1XoVvW7XcmLlWYa1NeKYEggg+dmnfF3E+WnhFCPH7nWb4J3499554SELPVJ4Qp6PLmGobwXdHJUnSA1GOQw84IPPpWO2SVxOv//KbXQWh3zwB3FZskJtq01+/4MfAABMLsTYbNE9u/Mld+L02dMAgBuXbsJnP/sn9Csm7U9WBlYvOsMMC1NcvZEJCKPrqrA+qPHBZusSumyaAyksTDN6Jc+Rs9+U8f197ctfjT/+PWKS+Y33/EM89jzZ0Dyo4N2/+ptYXdvAlZBRvykgl0Rl3m3T1i8KogrxPcFzpQLhmnxJjSDkdYSHELe2BtpWY6iigC4M71LgOJtE4F4qtukirEAEO1BePAjH7extNnxx9h/+nQXem2PknjoJWK5BGTpCfLNeFcI1jIJAkfXs9walrLlypzKRWM7E4WYLBftI7bUQUZ39cUaV3jA7i4A5ddvJEPUa6USohJ3nkOcojHtgXoNCIWPUWS0OsDRLc22qC/S4MZvgHyVp4hCxOgS4imNydhr79lKVzhMPfxRfr/i6VK1P6dOnTyEMC5iiKRGWcPMttwAAHnrgPmffPR8mT4w/WkanvQ0AyNIhquxLdNrsJ8QxwrjMtyeH4zPWI26+FTMFJa5pEnZUdoio4rbDmDhf7zz0m7icXTG7ejbMXyv4lR1eE7WRihGzXolID+qzCjlzSg63e8j7rCsI0Zg2TfdoDOF2gg770q3hEPM1uj8SEomZr7Icyud4BpAlGYaMKls+fQKTew4AABZ37ccGN9hrNAgR9oI7XoLTTx8HAPzh778f3/7OHwQADIZ9lMs0Bz/xlUtviZH/nYGuOwB8kB3xOQBvFkLkWus//qt+VBQFms1tCKltQGt6cg4JQ+D6nTamGcZr/JnBIENqiN7E0D7UUEg7RzlCcc3dNkDlT1wWWCmXMEz6PIbYEhNqQxRfZMjY6tWnFpEM6KWvlivoG6g7K9YgKWzQTBc5uk3umFIpY35pLwBgk6F5ST9whNEq3eFMmsfnoKu1GpPyt7agGOZ84lQPskLKZ2CHv/7ef4XzFymgtba+hV97z4cBAIeuCXDz0SW6lz36/bPLp1ANyJjWqxFK7KQs1cow/HJl4d7NDit3HAZY58DFUqOGEu/bzlMMmMy3UeWhRwGQmolGwRxYlgKsLJ/F1ZJSuYzD19yIIJB2QTLsn0CfJ4SJyQl0u0y+x5PlsN9Hu0kvIk2U7FgpfamDL0oQTKwH5SY9rb0gA2AhwqYTo5DSWwz4gQx5SUc7KjvyYLOXYmptp7hAlNyUreDZOukINq0INwbP+Vd5C6jRgyvV6e/BI30bWM2yEM88ShPyjddVsbiHJosN7ga0njZNrA7T1TJCLldYqFVQmNIyIWxXmDYHm4fQON1kqHSthIidglYItLdpn0VeFCCQlsU+S9q2XEXICHk23OG4XinR5JQIwAYpZeCiINLr9mgWb0K4Di0qc0TxCiNNDGhb5v3eg8QL6U1g/gRo3qcQkh3BAnBd6QAoQ0hpS9gid2+CyJUVClfaVnBSgJwtszAJIWJTelN45U9el0ke4+LCItpdOm+v1wG4Q100Rbbr6KFtx9uZNXD2OP1u337g4H4KSG206PcXu01TtYal2RoiNuiL1TIUO8KlUCLk69jg97osK1hlOPq+iTpK7ECcLQa2IcLtN10PAPii3HDBQQG89tWvBgAcP3EGjz/2AK6WlMtlXHvsRnQ727h4kRbPp0+dtgmO06dPosbv4blzZCMnZucw4CRCng1RKpGNCaVGyosaS34rA1hacemXkAoLzwfgumyal1YBo44/3O8uEWfzRgIgWjnnymuAMLKwvCz5auDt5y2avfKhDs/JwQTte8vNrlSk3z2HjQ067g3XhTiwn+a6jQ7ZprVh21bQ7p5pIGR92j1ZRmFKgoIAJS4z2OKOsVJHWOX7u9SoQvL81k4SbHRIz2a4dFFIAUdyntuS71I5wsrKOWSmTOJKigagBYqiGLlX9utiAOsO2u/9cmX/YMLzt9l2ed0T/WX+SLBMCOeHW10r2dWi1tquqMgPZ9uinB5oSzTunHrhj8PqTzHqH5lSWQ2beHTls8K7PH/0CqjRIkRygP3ao4VtjjNMJfpNev+uP1THTJXe0ZQbim0MOlDsx+ydbyDgcvkbD8xgbZt0pdlLMT9J5yhMklIJrHOic6FRQcQLx3NJgtaAzj03RedtdjewsEQdRb/7ne/Ab77/vwMA/t2//TR27SJf8uLpK+8/ySBArT6JIi+QDE3iWLumOiKnTgwApHmOwvcn3F3XcB0CnYIE3vTmL8r8AKdwvrFVaVdCL6OyZ1s0tO3C59sVo0PKfxu8778Kcu2yNs8Pinl+k7VZBcB+eJmbCeya20TIfuC/f+/fw7e86ScAAPd+6bcxw0TNJaZVWe21bWe3/YsNlDgJuXe6ZBsszE1UUeXuustcVtYaZFjhoP/R3dN2fj8/TLG2RpQhczPko33hS/fYxeUvvudD+Pbv+A4AwHf9je/Bg/ffd/U6oGvwczGlXpH9rHXm5h77HhcQwoAb5A5aBbZDbCtUkbnq6aKPoEzvm8qG0MbfKlwTMhPdoS6GZXsOS/4uhA2M+0hZa1f84Ja9uNH/CW8e0360jI9rgmZKuASC1gqCxwNoaAYOBHX6e+MNOUoBXdt2R+Oph8kHP3wsxk0HCHhxfqMJAFhpb9v3b/9cAyGDRnZPlq0dD2WGOjfXutDq8bYYa7ymW5yoYJLf8fVMo81+x9GlOQBAud7EsNXi68mtT9HubOGJh8/jasig38ejjzyEOJSWPmjv3v2ocDfYhV370Om2eV/2fZVruqK1gjKNZGKNhNf8JdaZcqlku+M2k77XodMLfnrrQMnrLhUKCMl6p10ZLPkCZvSst36pNgDb+XhkyeIl/i7TRfnS/Xlfyy8DIKy47VVuGFKlHx07GiDkpHySlvHI/U0AwM3HKrjuAM03p5ZpDbzcaVrMzcGFCQSc0Ns9Wba2PwwE6rw+WGf/OtPA3OFr6bxJE/tnqXTxmc2L2DdB20+cpuBWfepW/NOf/GkAwO//7gfxwFeoxPub3/JWbGwO8LXkf1ugS2t9yHwWQrwfwJ99rSDXWMYylrGMZSxjGctYxjKWsYxlLGMZy1jG8tXkqgW6hBAfAPBqAHNCiPMAfg7M0Ka1/vX/9eMCYSSR5y4rs7G1bYm7g0Ai5shhj5EgRZF7EXbpEfjmNuIY8W8Itsk7J0OLvBr0ujZCGlZi1BsUtW5uUrkbVGZbtLY2L2Jp3zUAgHZr2ZKwjZQUWbCGJhJGAEUhLOmdGInGciZARLYEKY4Dew+0ySSoAkPGa6qisJBIlaeWYHeiRvv+2cc+CpQdDH5ympASs5MpciYx3Wi3+T4pdHImKxwozE/Rtd/97Cq+/Y6DAICZOEazQ1nKe84QFLtaj7E0R5lHoTQyg/JIFapcrjbk8tKgJBxQqXCkexEEKhUm1b8KHL15nqO5vYpWq2VJpi9cOI1Bh6LESbliS1J7nPUvlUq29CwIQxSadERGJYd+sGVlmYM/a22JkgGvfCsow2WhuDQrTx1JuS/aQ0j42evLkaMqD77KkXwtSy4LKgOXhfIz73DbXI5KuLx3WIcakG6UJzlrq4EEpvlDAE4EYW4qRMIZoC7rVaFd9lSIAQIe79nNFr71Jop/T8UltDuks194njLlJ1Y7OHqEymmLYdu9pr0MjQadsMcZmPp0Bd2Es7VBGdRiGoAqEMUV5MXV4KxhMnoNhJxVLcUR+j0uXS28TK9FTUnYUlIpIThLq7i0k7+49FRajSJhrL75SAaDGondZ5XZ8kkZVqEMussQYkK4jLd2ZZWiyF1ZEWdBpavxhoLyynXVKIoDQBhFFpa/ur5ifytkYBEdVcmwfCik/B7JIEDGY5ybmEDCOjRgtGqeu3uw0R5YJOhz/W183+1HAQCzpTKajAT883OEnm00Stgza2yTQs73MtTArjmyhafOczZpOkSn59BzrRbZgWaziahEKLQrVG02Ikma4PSp51GvT2D/fnovTp9eRimke9fv9dDl7GTBkIjZuSUMS4QWKIUdRIL0qD/o27mlwiiwwWDoJpoihbbkrNoiBwiRYB6maeHuSt4A5Qh9cRn93kncax+X3jnJYZRAVQA6cmOwiEWjN8I18NDKNf9QGuAs6hQboV4rQ1A3c7CEDLicvl6zyN2+p0+mvLXZH2KbYeHHV7fxN+84BgDYVa1jmzPcHz1B83+tHmNphuZbUWjrj0RSYmbKIHboWZRLQG5acw+Etfmbm23cfvv12LjwOK68CAABgjB0xOqF37jEI7r1CJYtOfjOZ2XnCJeZtmgejRE0lUPu/BXZZhgT5n/hozT4/6a0Gw4h6o9jhBxauG0CrNu+KfURjPgq+sq0BOUKbc9SjYKJncM4QGOC3iU1XMaQ358hOzJZ7hBxG62Bpa743fu28T0vIP+wJkN02Nd49CLNEy958c0Il08DAOYna7i4Se94KQgwxSjFTo9s0KFr9mH/PJV8pFmCez73BwCA//Rf/hBf/vJ9AICLp7+EKy2ENr0Ga2sb2Fyn6oNOt2cbRJVKZWSMSkuGbNeFK9MCfH3wUQ2mFFa7RihaOMSOhntuQkJYH8gctGB/CqB5lXUSO6kgMPLYL1VHDyHvjdj98bcbPTP6ugNtaiWwOhvlBk2ikQbGDwxw4iQ1fZJ5H4MBXcfANGbJNSSXsK9v97HOyKNnUoW/9wpqJpX2C6xv07HXNKFY9h5cRHyRyt2lksh4bEcPXIuhehoAwBz5KJBiwPbzN3/7V7GyQvbt+7/37+DjH30f7rjjoUvu1NcvAghD+mv9otiWI2ohMFIjyGJ8bSEDFEz0LUOJnYDVRqOB/sBM0E4HRVC2CFJtiLkBb27zSeNHUceWEqBw+mVRWiN6JbADDgsIr5GY1hb5CAGHgLfzmYc089A7Wisgo2uqMWo7HeYYBmQXokhAxPS7mWqAHl//gOfMPFN27bve6lkE2bMXN/FDLyJdyitVrLAuPblJxz1wYDc0NzbThSa/D8D8zAzygHyrlCGtU9MTWLnIY88Dr6RUoTFNa8jO9pUphTUihEAcBUi624i5rHxlddWxf0iBKlPhDHpkV6k6ghHBWWIRf4Nu29564x/Ozc6gWuX5XGt0eowm0gKjzQr4GZtqjTxjAngAGDq6kqDi0M2m1FaEnv7s8PN3Wioh3TuTew0VNBx6yyC3oKhiY+fvpAASes6NSVN9FGHI1xOGIYIK6cp8vYQ+I3hNg4u8UNaqr2737Dv19PImfuSlVErfK6dod+l3v/apZ7FTPvDbP4MLq2cAAHfd+Sq87wO/AQCIuBlEa/uCrQJ7/Imn8Pbv+EEAQJJk+P7vI9Tpxz/085cc194mrS818f9fliAs6erEXu5gY4yMtjX85VIJIQcWrBLCTZRaF5DMNaNV5kphc2MoI6uEWmmnnDoALLdXBKtwtrtaahUrKNdRrRP8t9vesotXUydOysvwyKywBhsoEJhaclMUrQpba05d1+hzEJURSH9iBdJBF8aolutTtptLq9dBrkiRb7mZtt31ihfhzArxFu3dux8f/5MvAgAWp9sQETt1PMaN7T5C5njavbAXZeYR29hYQwV03+7at9vWf5u63GdFgjPntgEAS3NVTDOU9NRmBxEvQgxyOApDPPB5LgdMKm6REyjLg6KG5x/UWt+BKygTUwv6Ja/6TqysLOPEc7TAGPSGEKYjYlBGwV0Bg4gh+FEDJV6o9Nqb1qkP4yry1JR1Gee+gAy5PlPn9lmKIPKCXoCAN0kC5DCaslgBYIQriT+b3wu/NtszYMI7oJk4/dLGIid4P0A6anlwvBvkl8JZeHgGzYb82I3kTOmoDV3ioIaMcOZZevduu7Zhu46Zd217OLTvY5EoOz9EIsAuDli9eNeSXSy2BnSs5wYDNFu0cxzltuTjbLOHUoOuI2Kep5Is44ufZGcyCwA2mNccPYgL585h2D0FVQwu9Z6+DhEi0gimIILIcmaEUWy7a2ZJ4vm/pnQxdJ2ooK3eqCL3OgKZBb1XdiQDtx0YKc25tORLQJan6JMMXFmh9HlJnHfoSmaFW8gK6TX/4cWmb5tk4PRVho4/wx4pJE4gALpIUOVgy1Dltpz6yGEaQ1AbYDig8wZS4CLTq91ypGq7a4ZlOlZzOLTBrjQpEHCAphLH2Fune/yy3QuW/2bYpzEeD3KcXCbbtGeuhnkuUTo16KJaJQdJerw9n/0YO0W5K52565VvwJfu+QwAQA3OXHHbFMU1Pb14HSYmpqwDfPLkGaisSeOivnD0me93pT5l58LBUCEO6HrnZqaxtk7daZIh8534HaG0BoLQHsvaKa90wom3IBkpTdQ7nLLLiPY+eB1mR79zp+EBeXbIlEGFIwFg07BIRBIpl7kc2m8yU0OEdS4Diks4e4LuyS3XVNDlUrD6JNmdVpaiYIdqOMgRaFP+GuLgBOnInXvmkfH83GeupceyPk6eJ31amKlimhcfZ3p9BFw2bea6QAd4+FE6R77l7u+dL3kJpmZ344t/+Xtoba9eWdskYy3jRe7UdZlnNxKEMnY+dNv9EgmtMTIvwOiJV67lz0F+8EmPPkd/0Si8TppKZR6njXS/95Iwvtigpz8P2jF6ZfnCt43evjuvHTR3m25l11zL9jroQLN/VIpLQEHlFpPRBnJe9JoYcXOYWF1KhgUkH7sUhjjIc9ftu+fQ4xJ7Q7/Rna1hu0vjbTXPY67B81y7j5jLlLThfRsWUCkFYN/x5u/Fn/7ZXwIA3vef34uJafJBbzgorrhtKlcm9N4jd6AxMWk7GidJFyeOU+BkenoKhw4dBgB88i8+xb9SNtlBQSpv0X7Z5J3TG+E9S1NGrlXhNae6zLMc0enMzVUjXWR3bmN1vURPd/pVXlBY79h1pxjdCwJLoXDwIH8V9AHWpziOoDWVUk/JNaQ8r0nuDLvdGdrL63cyBHz/pqYqOMgB19vnZ9HixKLkmv4TQQ4ZzQMAet1lTLDvvfvY7Ti/dgoAsM78tHFYxh23/ggA4J7PfdnGBr/46d+DAvDiO+7AAw88cIX9pkBD1IAwgrXvMrLrJUBbGhbLpScjSMNRpV0wSIjY+lAmYVHkQ2+6Uo4eAsIF/dO+C5wbf6zInN8UhF7VvbNZI4EFT1+dqimXIPSSBU4XfZum3DEsJ50DXmilvNLgAoI5g49dZ7rENiHZL4rDECfP0j27YVeMQhld4rVxkkFxoHQwyBCYdWMU4fAk6dJd+3ajz+uZ9Q4lCo+rBJ2esWMZ6pzQDaYW0ew06TPbTKFD3P3JNf5csrxjs7OLeNnL7gIA/Mkf/PsrapuECDXkJCAFojJ3mExz1NnfrNYm0OvRtfQ4WYB86LjaIte1Uxe5802Mb6QVanVKJHZbLUthRDED9xzNtda4JLBcKmN9fZsH6a/XCktbYxZIO/0t7duaS+sRbTKGyn2NXsZAwfEKu76Qbo0H7baLAmAf/IbrObgcpgB3tC3HJRw/Q+d44YEqMtabnI/VGSYojC4Nc0TS+OAl3MwdOG+emUWFeS5vf8U3AwAu1mK88x3/kMezgQ//8e8AAL7t7T+G13zPCwAA83MUEL3zha/Ef/4VStw899QziDhG84a3fTd2L5Fte997fuKr6tLVgDWMZSxjGctYxjKWsYxlLGMZy1jGMpaxjGUs/6/L/04y+v8lkUKiXKqg1+3ZzE4URTbqqVRhoeOTDSor6Q2BSokis6U4xGaTu7FJDWFgpIzdVRrAoEXbopo9rwhLNotG3dNMFNaUB0U2IlsUGoMeHSOMSgi43DDzujwoA3ktUpd5zHMUPnkzHQwwHUU8KdI+ipHMFChjxDDnYXcTKz0qIZTVku0eMeAam9PPPIb6HBEUPvLIZ/Cmt1DXrnJ5Cp/69B8BAGYa9JtaPUY2ZPLd5gZyzailnsbuBYpuH9/eQsN0pTQleUIh5AyWkgE2+dwiDqD4vg24m8XUVAmzuyhrunkm8rL8kUfceOUlz1KsrpzD4YP7MOTOP2srF9DjxixF2kOdM5b1uilB0Ug5+xqXG0g5a6sKly3S2hEKKy77pAy6QQAK18hABI4o1Ufp+MLRcxnGtvTQEmSry2REAcpKcmYhYPhqkQ3sOUQQu66hKLyst1dq6SM3DGFjpC0BuMlS7a7W0eXj9pBi37V0rAv9NspM6DzL+jRIQ7TajKAMhI30y4FGPSIdOt1qIeRuQ20uV8uFwuIiESHuP7CER5gIPMs1qtpkUCb4duXYdYCJMs9EyDnjsLKyhjQZeqilqyBFDsX3Ks2G9tmEUQXKIDm51CyIKm4s2nVuGe385RCfxsaIoOaQoDIECq/UEaPZaBFXPRSWj7qJvAy4yzAKm4EUFtKuvZJZqzPCg6MXBbTZXuTQZmrhcWkRIqhM0mcZI+ESQ1EFhNcdCQCmihg9Sbo0EDnm5mm8Z9abmJ8lPZ5mUt8kz7HFKK0wDFAtGV2icmoAONXqoMQZ+iHfM6Vzi4IaFhorXF6TgzoymuMBwNREGUdvJ909fl/H3uXlc8extEgZ+OXTZ3ClRUqJSrWB1ZUV7N67HwBQqZYQBHsAAIPOqkWQBvwcultruOYYwcXPnD2LAWct412LMM/YoHOzPIct7wocWlhr5ZV0eKWLHvLQLwsbzUjD7QPwd5dBiu4kbDZ/hfe9X65k2KrNGAPvfEojZ0hXWCujyrZOcyns7noVQ/5dqQLMLtCxzmy3LSp0mtF/WafAetPYR4Fag7tRJQKzrE/nO31UOEfYYYRhkWUoc2fOAhqb3LBBSQHwPv0+HXd2soGFXTT25S1pS/vu/fL9+Na3/w3bre5KipASpXIZw6G2CFP/2QkROVtvkVk7EXqXol9syYdHxkv6YRD0wGhrstGmGVS6bOYzR8IrA7/kx/112W7tdReF6yrrj3ekjHEEpjx6c0YS5Rpacxl3xfkhpmPpvnoNCW9rI0VaENH7hUGBOiPdF6e4S2JWYJPLNcIwQIU734kBMM26cr7dQ2RskymfDmJsbK0AAAIRos3PKygHKPF19tnHjSKJTBJq4jOf+aTtKHn//fdhfdPZqisuQiCISgiksHY7CmNcc+3NAAhgfP48jevYMWrq0Ziaw4NMIlytlmxJP/HLm2dpytE8NOFOJJ8pa/dL8kcaM3m2wu9SZh+7X9vmIcUui9jy9rWI9x3Iip2d0EbKmAKLChSNCmRA2ytl2ne2VMeQ1wVdnSFNaR5ZzhQmuUnLIndsKqCxukI2LS6HmOQyI93XmGBkW1undj5N2V4HokCPqSZEEGH/ddcBABb27sbN3HDlnge+QOe9cArtwXMAgCOHj2BlmdYQB657PX7mn/3zq6hTAigUZInmWSFC1zVxpKqF7YNwvosQ0lGGIIPmuSI0DX+CyHUPTAbQ3DFdlKrWZomoYt91nZp1StV2Kx8dqvB8b4ckdKWUctT2mMojqzIeDQik033PLjmtC72SyALgpgKiUraInWFKenJwum6rcHrIsH8X/Wwj6aPO6LhFLrtTCtjok52L4gC1EiOThhqzMe3zzOomKuzTNbkTYxADUclQV0h0uVQ5a25gyBVU/+jHqdvrH//pH+DorXTRxx9uEkIKQL+7iV1LC5fe1ysmGtACWeIqIbpcIpkMB8hzQ2NibAcgy/SOaa2h09Qdx67X3DPsNpsAqEOjdVGET0YPxEx3EzIqqtXcAky366gC84QdIhWj9snSAHh+0gjRvKdfhnICoUdBkgGmCZr5veUG4nMZGHwpci4Y68n+eowBX3MXidWlC92O1aX5SZrn8kJhm9f2cSlAhb/fO7OApRrpTyIz7Nl7GwCgw+Z5z57DbjyYw1ve/rcAABcHZ/Gt30zliGYdcerEE1g4RM/o/OkJ9LbJnn3y43+Ct77trfhaMkZ0jWUsYxnLWMYylrGMZSxjGctYxjKWsYzlr4V8wyG6FDTSPEO9UWeeLiAvXM10KQqxaze1Vd7eZOLhKmwWM5QSDY4ytrvKcZFYEswQmsnhiVyZ68Bzr+W3dK1mXUbJz0AXNgEdBSGK3JBNmlpqCZ1xXa3PmSEjL2rrsqeOZ1q7jKiULttkfqNcRoC2GeJejXCSxnlqlSLb5XCI3Tz2aljGs8cpi3Px3BaqMUXb+xnVFE/EEbYYObC9MrScOtUoQp9RPE+c60JxBNjcKSGB6hRnmgapbeBcqYTIhkzKyUi6fkdhc927x9q0YpcoMh+tcmWlUAV63TaeffYEAm5IkOeJfWYIKhgy+eKw3wQA1CdmMD01RdfVaiLiCHaWeOTOhjPAcDEBxLlkMgQaHnKqgCUOvCTrSDu740hXQ27PlTl18ZAQIipx1hMO/aMye2ytMgjB6AdIixZyJLFeNgHKS2IqNGZIl48/T1lZcbiEWpl2CCAsuXNvM7ekho0aIy3LEXJu3NBuZtBMWlsJI+R8kkeXWxh2mby5SpmDw9ccwc/+i38BAPjclz6PLz1ExKiViQgB84O1+8TzNlNeRMLcJ3v2zeD8GdL7arWOQb+z4/5eGaFGGYKbRBhCnoAJRYG8yBBF9BxN9k7lPiE0XKbPR8qYrI/y0J06t9kXPYIC9BA0nNGVgWtAAGjL56WRO244/35og8Zw/COUrdqZF1H23DofeEgQ6fHLmcxn4f0+sLoGAdS5ocH5beaRmM5R5WxTrKRFUKQDhYkKoZkyRc95qhQhjenamtsZVEw2pBpE6LMR/sr5LavTQ5PFC4DGFD2LTl5AMcKsUg5x+MAhAMDyRWqCMDmxH8+f+oq9tje+4W00tjjC6hplvJdP34crLVorZMkAk9NzuOYaIq8+d+Y4jh69BQDw7NMdOx9kbCNFEOLUKSLRL5UqMNPMubNnkQx3PBN4vEuOeox5RRw6x/JbGpsGeC3RPb6Jkc8e+udyhM7yMjk2rXb83Ecsyx2/0xCcydRS2bHlqkCZm6ys9Jm3L+yiHjOKraNQMPdNv5nhfJNJ/JmXZCYuYZu5OPs9BcWZyloUoce68+XnV+11zO+m5hjnVjqYnCE0QjfXlhMlLrnsfpnbwQ8HCm1ulCMaCvtnCVUhAJw6eRJJcuXnO10UGPQ6I80ffD6jESSU9GyBuJyd/Cq2wP1o9JkL3/Z4+8AguvxjGd5VePbEfOdxFI5wCQbmFx6qDJ6ueFx03jlGQIceH5gA6U1cDhGX2W86T3qgdwvM1chuVESAPiMdBu0cQz2qS9PlGCnzlTabrllRJYjQYVTJM2c7mJ0jxPjCbkKHrp1axp2vIg6bJ554FFsd9mMnShZIaXhoQ1RRSOIoefiBezA9RXbiwx/5I8zO7cbVkmq1ghfcegu2mx2ceJ7szfU3XIdzZ04CAKLyJO540UsBABl3ETp9+hTe9a53AQAeffhBazvX1h0htSNm9viKfPMBOP5HkWOU7J339RGi9hkri3SCJbnf+UNfR8TIvvTO+AhDc6xi9GcAHcdHghkEvdCo12nn59cZgTSrUDOcb1qinzt9Stq0zzzbldlSjHSCvl9fHwLc3KIaRsZdxp8/s4yFWfLfwxr5B3e97A24sEXPZXl5BScZpfXQs09ZQJJBufyf/+SX8KaXvgMAcPOr3oYXXn8nAODLX34Qze1V5xdfURH8rmqolHxtWWpAsx3WI3MBSVH0EciqO4JtUhJRlQyAIVfVBOVZRFwpkBVe8xRdME8l6Z1BhSp+dlQ94aP/zLmE227/qJGmU7BoU+391PhzwnLVaZ1DelUV1jf3fCltmygoCEapqTzFxAzZqXMX6JkoobBYYdS2FOgyN25nK0WHq2wWPF3KynTc9a0h8pjudUVEaPNa76Ezm6hO0Dm67DvISGDfYYL39JMU/QGvq5GhzGixX/uNXwUAlMoTOMnNfyATBHIKADWMm5ps4KqIADd4glsre5y12aBr/eLA8GuJAornICk0Aq4KSYedkYoF3gHg36ksc8eOy/Y5CiFsU475hSMAgGbrFBDSOkZI2EqJyxgPCBFY/SK6S+crY4cNG0GXSgmIkttumwQZ36kMMFc3oAGuUBO1aczM0j7PrTNisFCY5kqbkpDo8mX2tnMMuZxnlnkB50olpAnzKfdS5IKu/fY3vgp3HqIKnLf+wD+/5Dp3SglTAIBfes8/wbe85VvpeOv0Dn/wD38PjUmaE3/yp78dv/Cv/j0AYGnXIr5y/1e+5rG/4QJdcRRj9659WFu9gLlZUpy19TVUmHhu1+69KHhRbwiPe60W+vyiVqo1TE3TS9btX4RRAq2MgSmcMknhFpnZwCm18so5bOmigJ10PRgrtEbGQbLAI252UPvCBT+CkitBMu9BUILWZjJXntPoOaB+9ZHfcU3SQYp+gRJ338q5AUNTJlhKSYkiobC6QS9Ar6fQbdL2+jwda64WYJGJeLdXmxC8KCyVKjixTBOT0tJCIRtM/DsxHTtosAcNz4sCQZXGn3A5R1YoiNArdzATRZ45ePBVEAEgFBoLi4tITVvH/YewskzknK1mCzkbmonJaRqT0lDaTKwVFKbbnErtuAMuYyhU4nVPFC6Y5C/qlGesrKOu4BxyZQO1InCdHW2XO8BbAAirAwSLpePa7nojehN4eqwx0gUJFHTx53ltgnFpgRKTWvZS+k1HaexjqL0qAqg+b89TKH7u7T6Nd65WwgLrU2sztaWfC4tVHF9lR0dEWNqzxL+jgOvUXAmPP/UI34cCUzNVvowIGXegMQ7ExfYFbK2R0a4tNgDJk/raMuI4GokJXynRWiEb9iHCEsx9l1LC9CSRUlqCfWsrpBzpKGXIVokIk++3nbBCW7Yh4grsorDIvOcvvYCFgW5jJChuyVh3kkbb66DzCSk9fXRE0SPk4T4BtTAQagWzIrN2ThVQHHWRYWS/x1CjMs3lPdwNJ68DNS7BqYsAkh2XYbvAiZPksC/spn0XaiXs4YXl1vo2DFp9aqqMJ1eozCLXrnykMUFjnGxE9l0tV0vIh3TNhdZ2EVkukdOQDLsICrqOHNrC0dfW17C5sYarJWEYYX5hAVubWzhx/BkAQFSew8oys/MLiSwfLbHRWlkdGiQBJDv4SisuB3NNUfIsxeiDNw6RgB+0dE69C3jZBam35tNwn0cWhbZcDV6g37fpnrM3Yv/MuLwD23IDj9gaygVvewVq7LS1JDdHqUTYbYmNFepcTt/Tme081eby18V6GdfvJzv/4NMbSHqkF/PzNTyxyt1TZYxFDkoMcoLQ790zCa60RimOkKUmuF3A1HmbbalKoJTpxgT8je/4NgDAf/nN96PZ7CDNPLt+hSSIIkzOLWBrwwXpRpItgEfG7O7VSOTRTg9+aZYvzo458ROA/nccbFCOukGIEIIbBQnPNrmunmLHHGWuw08guXH5lAej5M/G/nnzsjdozc0Mku0+Jg+QrgxNILUaYbJiiIkDZKyDPZXbd7DJ3YIX62Xs5sXA9uY2+PGj0SjhmTVecIQRXnwnOfAPPn4vAGB6Nsapk9SZanKiAgXu7Fgo6KgYGfrmxiZykD+bZxnWOWh05OhRzExP4GpJmmY4e+48qtUa9uylgNra6iq2tmhhmyOxdvLf/9K/AQD81m/9JppbZC+TZOACXGae88Wfm/y552vN2yMdD7XbX3uRfOvUBPCfu2tY5QeqjPiZAI2R0u2dwWAtvHG646tWC+Up7qQY0vakHGDREF0jQG70See2dL7dI3uwq17BoTl6pq12ZpOFURzg4RWyQ4WIsNwi//0wB0Keff7L6NlyLIXmNn1fLZfRSmiONGuU9/zav7aBrn/wd/8W/vN7PwAAiKMQf/6JT6LFndivqAgBBGXyn30/xvosI1kY/k0BzSl1IUt2jlFF6s1d3MQqTy1tjCpyCL7fMghHOgbrYrSRFP0diYa7MdsuwCY5DIzoh23m4jZbG6T8IL2n237Q9pIgP+ml6TIqMo1aiT4PzFqpFmEi5mShVkg4CN9UBPAAgHaPrnFPo4oDU2RX1jeGSPt0PdNTVTzCTXpySCQ8jDL79ruW6ig4AFmrRAg4KaC0skFQ4390Npdt80GgjILpISYW53H33Z/D1REBwEu02s38TEPXxMY0GUMgIdhWaSGRc4mflKHL+bDOFEoj4rVdmsEGHoUIrE1QRYGCg4XnTlO3UyrbNDYssr7YqD3zk0Nmk4YQfvLH+fE0oAzQmfuR8I7rJ55pZDtPSIdqt1GdI13oc3fFQUXiYMWAJBRSDvT1IomI7VKX13N7GlUc5DLGBzbWbSKx09zGW3/gPfY8Dz3/IADg19//XgDAP//xn8LBhevs95uayvVf/qJXI+JOpJ/8zMcBADdefyPOnKEx/P0f+T78ws9ToGtzawvJ8Gv7S+PSxbGMZSxjGctYxjKWsYxlLGMZy1jGMpax/LWQbzhEV5IkOHXmeSwuLCJhkuoDBw9ic5UyRZ1OH4LLtdZWKGOk8hT1OkE2e/0Eg23KYmhVQKecoTDlijKENNDEfABkjPIhxlO7jyO8NCPzY4YuQ5WmqUVWFAaZpAuH0pCxJQyHLrzoq4V0eYgObwwjxHR+2N/LtNYcIfQaw1vL0xR5XZgJcJ6JJSfjEDFHacNqjoARQSXQfdgeJBgyBP/gYh0XmxSZX2v3bEZcBxIho5yUhXsKSzovoBDwOQIp0W/Rs0sZPhmEEtoE4T3ia6iC0SuAvvKJbmRpigvnzmF1+SL2HSRI7oXz55Cxbu09dAwba1TCFHMkPxn27eebb70Zzz5D2dcUmnQGQMEQ9CAMUeT+s/oq0XfbTtjL5HhwbKMXBtrti4hqkIaQUAB+ZqAYsv76JZV83CCqjeiRuOQDXCmdENBMQikCiY01uo6Y0XtHJso4x7DX+YZEmUk8q5MRQj5fzITx2/0UA9anffM1rLToms6tdWxWdWlhBj/7zwnumvC9+Y3/+m9x7DpqpT4YKjzxJEFWz5w9acuCM9anyclJIKGs+bmTpyBKJrutkGWpl+G/giIkZFQFmVWTeckR8bl1PvDeXy7N9cuyhIYw70sYQ3lZWJIA0rwLWrm2xDtrO8y1GVJuaEswP6J3cCVfBjVJbbTNcaWX5XYZb8WlGEpllmBTRHXIiIlOswFkZYqPa7JcQ6ejENDcBlsjwRolclCbIZ3YOxVhk9GKM6FAia+zMR0j4usIc7pnm/0UPS4DO7I4gfNs21dbPUhDthkAEeujIaWVQQjJCNJqXEGP7bzOC1w0KC2+TclggKLv0B/3fomIe2+46VacOXMGV0u0VsiTIcJQot6YBADMFRGh0QCsrZxHtcyl312TnYxsWazOBjY7PTE5jZwzbd0uZfRLcYwkM6g/jZEyHfPaeyXyJgtNSBmvuYGP5LG65SFs/DltB6kw/8e/aPd3BEG087N2tlRIoGzafGusrJLuRFzZMleXWOUSi5lKCTNM7iyiwJnFIX1YUwmabbqXc9USXvcWQjfc8+UvIe3RPCDjEN0B2ZaMJ6VarQLBKMRIBlDS+AcS7T6XA/CziMLAvts6j3DPPZ8HANz+4pfi7s9+1lIAXElRRYFOuwMhQjsPCyGQpd6kahvheP6G+9J93IkE27GH9knsBbxnLr19zXN2iAZCI7oykxFkDsxxfASpKzsyY7coLi2gDDIVwtpdrVLbQMWhyjy/SwDgRhcQApUq0WAcvo5KMOT2kzjbpOe5u1ZChX3F6RmFkI8RFvR3o5ugOyAdPbQwgZUW/S7RAYac8d+9dzeefPZpAEC5PMF/JT72u38OACjQw+u+67X0uRCoVckObGVUuh2EEsvnqRQNKkI2IERVqVTCmdOncbUkjkLs2b2AICwRahHAX37yYzh4hBphXHv0EDpd8q1/i0uZkqxAVKJ3b3NrexSxZXxYA6EYIXz3kTU7UQk75/GvYldGEDk+Ougy9sZHRY8gVD30s+9ze+iLy2wEuPEAwhDrbS5TLNN7t5iluNijfeerFatPk1MKNUZUVJTzmzo81123OIUBz6dnLqzZuU4FQJWbaLHZQbWmcP3hG2hb0sbp8+cAAO12B5NMwbHCk3ChCtx/klAoL7n9hfiXq/8RAPDSF92C6268BU8/9mlccRECYSiQpwpSmvc0cWgrAYwiywGoAgqMwFI5hCzzriGUabbBPrjO2ygMiX2pBs0k7kpJRt/TPGbpQUaeuU/n4SNhdyBjvHJvAVfaqL1qFDeduQYkENKjICncTqY8VxcwVTwCGjo2jYAirKzw9cekE3sxiTPc3GtPRVpS8JlpjTJTxETsN622B+gkRpcmcbFLyrLR7qMw1QixRJXnygMH9wEAOq2LuOnYjQCACxdOIWfUWDJQaLCP0hs0AZANCnjsMgxs87TzZ05dHf8bNKdFpTLSbIDRNTnb+jy322Vs7LzzZ8pxBQkjqnUQorDljzzeIEBWmGuKYOcu5T/TGADp2MCsvxQgSlxOpfMRy4ZLmq1peywNaf050gXexSDWtGZye1AcwVb7FHDrhtz9NesAAYDXc4gkzrHPxL0gcGhG4kKLfJzFWgVVtkvVOEejRvdttsIVdd0+WtzA6YUHF/DD/8e/BAC87o1/Y+SqXngNNbx73y/8NgDgb/+Td+Kd3/l3aN8XfxNmBaHkX/6yV+A//edfAQBsbq4DAHqdbTz5OI33rle8xR5zcnIGWZXLubv4qjJGdI1lLGMZy1jGMpaxjGUsYxnLWMYylrGM5a+FfMMhuqSUqJQqGA76CMtzAIAw0Oh2mgCAXAsUzKdiIqVSwHIKZUoj5kh3kfahA87uMsmzLhS04agY4VwtXIvzInPblZcRt8gs6UWAhcuU+kmAwGsr6mcKzLkv10oU0kNs+fW8XoYqNO1QU0Byq94sx65Fuj5Zo+8bdYHZiLgdNlo99JijZnGqCsWcSWFosmwxOut0nVsyQZ3RGD0FS/iNXCFgpIEo6PvNtcRGiMulCIVpxQ6FsCTtdgCI4ypmluh3W6e8zH9UvkzE+8qJUgq9XhelWOLZp6k2PcsyS1456HcwPz/PO9P4X/TSV2JljSLNm6sXLGmmUsklScMiSzxS3B3Iu8uQ8LrvtZdlFh6XgIeQMPodutbIAo4HSvkE4T5HiTLkqC47KiC85KbHc2IyVQEAw3OTDrFrhp8JJ0XiCLhmiTILW/0ECfNHzEyUbIY7YH2SQYAWNx5ohglmJimTlmmJNiP9Njc38Mu/Spngl9xJhKj/+p//Kp547mEAwNr6RaRDJikfasiQrmlxZgYAUCo3cONLpgAANxx4BT79yU8CAHpJgTwbYPRlvEKiNZSi5hGCDURcmUQcm1bDJXQ6A7svYIbhoRgMgqrwSOrt6x/YFs2QgUPYhBVowy/H3wFAYDI9owcxJ2XOBzHym9HsuSOQF15W1ZCAB0EMcPYYMrB3VEZVr2ECc0aEsf29VhkUcxsE+RC7Z5nTb5GRb8EQ+5nDrdkfIGUk0lQ1RoORWYa/RAYC2xuUTdoMBmhUSUfDSKPH/ErItJ3pdE6jXF3pY2qWzjFMthEFLtNVcEZ4Mib7WK7WMb+HFH3tRIpun1JHjz76ECanKIu56d3+KyVKafSHCYo8R5nbX29vncWwx7azUkG/TciOWp3uXW+QePZBQ7G+bG6sYX6REKt1SdfVbrdH7cIIMsugcs0GePOM01fhkcrToQxbidExlxXHTsJnO4X5XEmXQUrAs4Uez4k9rFBubFmKXbP0LIsSHXeiFuPQJN2fdpKiy1noWhxigp97zBnvMBTY2uRsaRziwQc/AwCoNxpYXqbjFVkGUDITIZO/9poSCA1HicCQM5xBFKDGJL2a7VW9Pombrye9eXD1HCpVerZveO2dOHPqBE4/expXWrRWyNMetAZyyzWqMNocxextthU7zKSBQ3rk7r6bMgKDMbokMEKca1HMPsrP8N34qAjpqabhtcw8snLnIygUbv7zOHMcbWXZcdtYVClcI6IgwHXHrgUAnD57GgMej9SAHNA8f+EUoTyXpjUOTTNiJsuRMIJ4qhZjhpvZGJ8oCKTVpY1giEqZxpYWGTUWAtDdbuPb3vbtAIBHn3wMABAHAf7+T/0kAOAVr3wx+sxjKgKBrM0+SoeOO92oY3CArn25mZGtA/DwQ1/G4UNHcbWk1+vhK1+5F3fe+SqcP0sIoVari2efoms4cng/vScAPvD7vwcAuPOuV2JikvReFUOM2hWv2sFs8xGdFukp4LjVPDS0lR28cj732ggy0BzXzlq4LMGz9+uR5hjCV/yd8C+P21Io10CmSLCbmxtI5qht1MuY4zXIRm+AhH3kmXqM2RL9rsQonjCQWGXU/GowQJlRYY2JGK2m45da2ktk9LumCSHx5jd+Kx5++n4AwJEj1+DESeKfLVVqaLcJAW04cSbrE/jIX3wQAPBv/t7P4t/83M8CAL7tO96AqanDUPkqrrhojaJQQFB2HKZCWX5PIUoelaxB2AwcSTdyaCbmJ2SV4RoM3F+eB3WRWjslpLR+GmTk0OtWvwpPZ+Ch2zVUbpq/MDJfSVjUEBwi2tdjhyT1dFQE+Krzn/neomO1rZAJNLCHG0Kl7F8mKsUh5iAdZLn1m6arMaZ5PVPifaNA4tEtWresBQOU2D9StQjNdsL3qkCFYdG75qkJ0Af/yx/g7/zEDwIAtlp9y22dqQJ9rqB4+YveCABYWJhFVH8IAHD/J56y/IuVxgxW1zZxNSSKSti95wDOnEqgR6pfDLo/sp9tIwLpkHRJOoC2YRFnH8xcISE9v1xYPjIhXdMeaECbNb/lUdbQhdlXuKoJv+mUD1Yf4cb0uEjt5bBuFznA/gziwB5Xi9zFHSwZvxr19wxxfTbEvjle21XpuJVqBUfqtG1rMMCA57ldc1XECQ20xO/qnnoV24wkfNWbvg2vfDk1IanHf/W6/b/8uw/ii09+EQDwXz/+PrzxNW8HAHzow/8d2xtUjXfzdTcDAFbXN7Ct6XmeeWAbe/cSwvraYzdT9Q6AD/3OZ7/qub7hAl0a9LL3+1286Ea6CQ8++CBkRJNCpVxCzmVRA1asQgbY7tBLWKtNYMCOiAgqEMKQdJsFXQZhu32EEAwJ1lnugloIgcI3TjQySyQflrzN3iLWEsn5BIT8W7OvNfSh99eQWWvbHQKqwM4OfzTB8rgmGwC/6FNzE7juCB1vaoKUu5kBlYD2XaqV0WWYYj/LkA9oDP0u3cdqFCE2hNCJwvwCefnX31DCQ4+Q4yWktO+hgVyXp6to9WgMQgVQHKyJywFyNpA5X2+UZdi3RGPbOtsCCq47UY5c+aqIEAjjGGmhLNxYSo3pWXqRlnbvxfGniETPkBD2Wst48tFHAAAzMzOY5kXUWtqzJMP2+Uo3AZKTZibnYsRgWrH1m8IaOJ17CzkRwixEAl6IE1k9l5NpDRmY0pQA2u94ZY5rIdquQYAdE98Tu69gI1opAUN6L0qxwPWHSAdMp8WOFpD8LHdVyugWhng5x2DA7+PALDAjVNh5yzWwyAGOO25awB9/+jRtzxV+9p/9FADgAx/+QwDAhz7yh5ic5QV9p4Vbb7oVAHD+wmnkDBFf3SR9XGgoxGwYP/3pP8dNN78QAPClL38FKhtipMT3SokQECIgblUmoEbRw6BHY5tf2IXtJneptItJfxHvSmi0T6prA72ucYWUsevcU2SjHcYsmTxPel4HKyFCz6EPvXOYAAWAy3Vi9MpLhO1apWyZQCAqlnSb1i0eoT0f0+parQzJ+hFHwI0H6F2vV0l/1rIAIb/zu2tlnGQbkqFAk4MFJohVjkJEfI7esMChPfROvPCaOfzZfbQA0woQHBirV8k2RaG0HdPKYYCICcrzokCH54oBl0YcLZWx0KD3a0MWSFNzLxNMmUAXrrzkeY71jXWEMsBxJqMf9AfoMzlxtVZGn9YpSLhzqdQ5NDswQsZeE98U69zlrD5B71AoJXLrqIWjFRvmZ8oLdl+mxFBrB7MXCKytdsfaGVD29d5s8xIBl12EwjUkMfOb9AJdlao9RlTSuH4/2abJOhM/lwLUuCtrqBQ2emTHUuTIM/rdgMvRymEAk9+5667XIJSke3saAyxzEwClgX//b38RAPDPfuafAgBKJY0BBy/Sfooaw/ozlSLh8kDTl7BRKWPA5R1FnODkCSp9f+qp/XjZXXdh/cJDuOKiQQtDrXa4HqY8SOCy7711LaRrBKCFc+qtb+855MKPmhXuOY6Q2LsSQ1e27wJh2mtoAW9h6n7vlUFqMTpngQJltipbpSNrCb1z4SCE7TqtosB2z6pVynjhkSkAQDUk2/T8MEdZmsB7iJM8xxRCocWdTy9yE5RqHFoSaBGUUK/RIG49OI9PP3IeABDFEv/iH/8cAOBbv+/1AIBed4CNDunauQ88hzoHSnOdUSAbgCzzGCNgP5d273r5q/HlT9HCYWZ2AdPTM7haEscR9u3dg3PnTuHQwQMAgMceKaHI6H589CMfRKVCdj3g5MS5U8/jFa+lRfDrv/nt+NxnqGR3bW0Zo90NsSPYpD1d8EsXXYBMeMEvFwDx51B4XRf9xatLBOrL6NZoWaIJXoWUSL5kJ6NkGpDGb6rZIEulrPCCAzRfTPI8tBFIiIEpha3gNM91w6LAao+yJwPuRlwOQksJsbk5wNIC3d+3veQw/vjLJ+3Yf/Rv/xAA4NGnqCT2Y3/2h3jtm0i38qSPl73k5QCAT9z9MQowARjy3yN7dmPzPJUuLvdS/OZ//W8AgBfc8WL81E//NH77N/41roZov2EJAP85K9WHlKXR/UUZpiQrCEoolTjA03PUNdqs7VRh7ZxWwpYrClnyqqqdH+yH293qzrM3ApZCwugUqa3c8SsqGbfBd+XpszmW310UwEiTA7svHa8IpO00GQU9vOAQzeNzTFHzULONMgdApqshToH0J9EFNth37245v8mkJrfbCfbwmu5lNy7hEw+eBUBl0TXW0xPHnwAA/OEffhCpCawojdCsj/vAZIO6xzY75INP12NEpsS6ooGErunIkWtw7twZAEDrUiaWr0uyLMHyhVOU+LVUQ9KBVACEnJBQJvAEicI0ItCwUZEoDJBnXgk+MOqXCAHBdCx+vwSiHthRaisDSANuEbC+u/CD/EaEtz4QcOdT3p6WzD6EtWEqdy6TcCWatqzWb3oWlu1xS2XgjiP07GbqvAYPJcrc4Gt/vYrj7BP3sgwdfo7nO6Rf040a6tz476f+yS/iwuoj+B+VG6+/hY4xMYWP/DElRM6cOYkGk9s/+AgF6CNd4Afe9rcBANk3H8DP/+wvAAAOHzqEV73qlQCAD/3Oz33V84xLF8cylrGMZSxjGctYxjKWsYxlLGMZy1jG8tdCvuEQXUopdPt96DzF/fdTO+ZyXMLhw4cAAEkKXOhs8d6MFooFqlWKEDa3u5iZZlRTKwVMyQoT2+pkAG1KtPIudEBRc0JaaO+4O6PzkUNhwUfx+GgcW+/oXZEXZZUBbDmb3SWDjxrbs5eyZxfOnfaymD4qw0SKh4BB6adt1IMp+rhNUdg9i1XDlweIACUmkm+oEKUqZcLbjOaJSxFS02d2QqPBGc+GLtuIfz/NIRjwtrHcAgBMTZdQZSTFmeNbkIwKCysCu49SZivp0TPq5inW13N3OQaJpOUlAe8rKlojT1OEcYAql5AMBwmimD4/9dgDmJ0nCPj+A4cBACfPXES9Tvq0cvEMothArEM4xnwPQaW95+ujpkbaZ3t6BMAvGxs5RhhbUm/NWUWtNWTA8HiVeVmqADr3zwFAFxb9qD20oRAe6aHdph3cOk8QRPR9LS4wyWU6ppSsJoEqZ9IGuUKJofA1FaPMENhORL+Zmq0iGTKqUmocmZui7UHNIm46gxQ/8eM/AgD47x8mAtRTJx/DubOnAQDvePO7cPfnqRxRqAnUGA3U00SAu9lvod3nzI0GHnmMSioC1UchJaB2Ik2ugGhN6CpohAwVz7IUmus7L164CM1ZSEN8KmRAZMj0H4vME1o4BJQM7L4mWwkAirPnUPkoKswgubzSEL91utAm8yjtPmIk57ETrcrb7H8daiIIvfJIP5N+CVpHQTASQkYSWlAGrRrlmIjp+rmaA9VqYBtbDHKNkMsNF6tVlBhjvyXp92EUYsgI3flJ4MAUEzrrGBUmah+kOUyf7DajtBZmKpjirNkgq6DDKOBWr4OFPfRulziL3BwOsb7NqJzCoVIKpVDi8pKrIUIKlCsV7FpawmBAxrrfSzAY0Pm3V5cRBKaUk651mBeubFQluKSMA0CvRzCwcrlkE8hpmjvEDqRXWq9seYJF8Xi6IEZ0pPD+55drs+4pT4cuA2i+7DY6sT8FkgSS4IAAEGqAUdjVWGGay+LrIV3PbBSgwnPPSiYg2URfM91AmakCNkJGykSBbbzy+EN349DiNABges8C9uym0s/l1TX85E/8YzoII2tmpiqIuSp5s5OizcjNXKeYnuPsP89pW70mqtO76XKG5/H8s4Toevu3fjuqE7sRx6PohSsmumDUuP+um/IGP7Ps+Sf2kful1IX1dRwS43KlXPzZ1R2N7kcb3fmEwGgZo7hkVwfK8b8XTl3snJrbBhzCRxXqwhuOs1eaG2yIOIdmlFaggYagZxfyj26diC0SwLdNB2cn0WdfRtcZPRiFGETcqj4ADsxMAQCmqnUsLVAGPYgn8Ud/9lEAwO+8nwjo//gj70ed7cq3f8v34hfeTeVjv/X7v4G5XVQ2WbDN6+ocSUr6UotzBBFv7yfcGOXqSLfXw733fhlveONb8eAjpL/zC/PIc3q5jh69HprtazYkf3BjaxPHnyPk3JNPPo9mc52PtkMHgFG/2S+V9hEMkBaF72xI4e3vl854qLARFXQ65OZAfRmX03s/tIeWgL7MOP2GChnAjSkqgcJshRHZvM8+KVBwBUQ/0whYnw7U62jEtH2F6Q7iSmwrICZKIZZmSBe2toYWOZgL4F/9ws8DAG5+AVE+vPFNb8XLX/piAEAUTOKe++8DAGyvfQQNLvMOGJnz6Xu/hLd/G/ldH/y9P0I1pvHc98CjePrZMxgOTcXB1ZAAQURzr9aZRb3QHOeVU8P4q/TO5kkHgrdr7cqzjP5rXUAXrhzNoGW0Vhat7Bc2WJ/XQ6YKoT0dk5cSX3g2T6ncorh8xI5Dt/vHEqMnd5Acty+PJ4wkEND7VQkVlqpmT7oPL5+fRMrowX6uERR0jF3VGursH6yH7McIgQHbitmGxtIU3fcIISYaZHuGRY6ti4RV/853/U0AwK0veDEefYz051UvfgM+9Zm/BACcOfEQ9u4lW5kldNwL65s4v86N3wpt/Yjjzz9r0Z5XWoQQKMclpML3YRz6OypVEfG9GORdHptytBsSFoGZQ1hfWmjfn/EcFuHph4U3Z14DOd4WlUfmQZ/aQexcx4/YGu/ipKvWuDzy3UOdIhhFoQEU6zBrjTC1VQ6NcgV7G/S7gv2o3SpCvU72p50pVHq076QOMDVD+pFwA4gPfexh+HL8keMAgKd69+D13/aj2CnPLhNicHaygi9/ifTnra9/J278bmpk8v0//v1YXadjVBkplqkEp1eo5LoWLaDB1Ca7lubwh3/wgUvOsVO+4QJdJi5UqlRx4MBBAMCF5fM4y1BIIEQ5JCUw3AZhqWw7w8zMT2FrjW5YVKogy82CmxW2HEPzNhmFUKYr4wifkjcxWwOcOKhkkTmuLQCOJ8mD8NuFKTznz3Po7cQP+9IoDfR7ZjyuRM3wsNBxTIAowPQkKWo6GEAyd0OtwvxkQ4U5VuReO0GJ+SPyosAEB1vmI3KgGtMVlLlDg8oUTqw3AQDdXogju0kR739iw0JzzaS7vTVEvUHnqNVjiApDsGsx+lwqUuKONEFV43CFyo7WTphAJQBIO0FctXiXkBAiRrtJ543LE9aO1Op13HLbi+h6WtzRbeWCDW4BCllqIobhyGRIg9aOu+2SlZwxVl63FZ8HwuqN41IJwqp73jaoGUCbAJsYnXDtAtfrYCOkg9C67h7+KsIEWFzZqBAhpibpWGk/QcS6bMrGIARmWZ/OthPLBZAPc8R8GbtqZJwWZuo2QKqzAis90oVOt4JX3koLwA99+jj27KJOL7/yH/8tAOCnf+4/4NlTvwsA+M33vw9fuO9jdLw9k2hv06RVr1Ggo1KOsXuOxvaZUy30W6aTXggE8dVTJiGgswEGXJsvwxqkMCWofQh25Ozi36/RB2y5IbSGtmUvroOd/R7a8QpmvRHHyULzvW6O1tkSvu1yE+5ISZAO7LHgL2RtJyHSpSIfIIwnve+9ANlO3hKvNABaY5p52QbtASJ2gCIORmQAFrnE+lR7iFqVrjnJChs4n2VnZXKyipgDG6ECljkg1B1EuP0QLSY/9dAFq9sVDhRud4AZ5tp55Uvvwsc+82EAQK2u0eeushNLZI86vS1cfyMFu1fPrME4E/Nz82i3/4pWL1+nqEKj0x5g0D2JuQV6L9IkBXX1oTmr8LsUAqhUqxgwhxj5S2bRFbpYN9vpLC1QmHlNClfq6pcEjfCGeEFzrxPjaGnjjmCJ8JxBKeziZdSZ8wIhI77e5Ram5nsFZIZLK0aDuSezNEXI11eJTSBTYZq5IFUAq0/9NEeDg6GzHLCfnq4jjJkqoNA4y+VD9Y1t3LBnCgCwtt7Ba179OgBAs9kEAAyLIbp9Ktl41WtejA985DcBALWSQDIgfTIJpDAMMD/JAdIkgOQy7h/70R/Gr/3GH16VrosA+D4HO1Z1/rk8/wSg+z/SMdH5QDY4P8LV5QdCzbH8h+dxAprfy8DaGwE5wo9zCXeX8INWno3R8Li5/KCZHS1cl9DClXmbw0rtXXpgu5oOu30Itk0x2+AcGnunyed5bruHOnMCrm33UWVfcJL3nZmsoVQ2PiGwzpxVrc4A+6bodx/64/uwU97y1u/HXNklNLZ7VMb4Rx/8r9i75wgA4F0/TB2thoMuZifoHHf/5VMoeEE/Ua/hi5//3CXHvlIihUStUsUX7v4sbrqF/KNT2+dtd/N2p4Xz56iTX2eb/O0grmBllbhXXvTCF+Czn2W+J+GenytRljDPTAifYiH3kjPalfi4kWHETvnGY+ecNBK88PyfkZI12G2XCz5Ai1GbZceu7b7T0/Qsk24PksubQ6MXUuDAFN2zZ7Z6mKhxx3copNxhcZ51YaJRwQwnBdutPjY5kJHlOa7dRQH5+5+6iJDL8Nd4Qfm33/Xj9ioubJzDn3+OqCDe+IaX4f4HSP8K68ZpfP4zHwEA/OVHu3j+mScBAO9+z/vwkQ/+Au644xO48kL3XgQRc7eByod5XlEqgQ04mXJG6wMDEDFyDhDKoOr4bH3/2QTIggiaQQ1SuIW/VoXzp7z1mjM3XvLOD3SauQ2uXE3IwNlwL2DrtEq4taJWuISf19wT3tVOkzrAZJ3+k/RyG/OIDPefVtg/RbbpmWYPE2yb+kmGSQ76THJirForoVyhzyUh8ewWrSv7wxTX7SKf7t5nVvG3/y4FPX/yx/8FAOBX/9u7cezmOwAAr77rLTi/eoLuZSlFhctHK7wOeOb44zi4l/y4c4837ZIojkvodK5WwFRAi4iet0nyByFkZPyDASr8Ps0zgGF9bcXS0qRp4vmxGeISjT8v3PvsACv+u+/Pq6Gl8XDzYw5or0u6iTeMUMf4MQE7OcGnP7JBWj8+4PvddrsHqjDfh6HbFkSYneVr7vWAgp75zBRdbz/TODBLa5WnNnuYMHGDREHwvXj1S17sjd34wXW8+o3fabc2t08BAKamD9ltx3bvt5/f+vp3YqccOjyPX/j5fwUAmGB9/uX3/hxe8wrq2vjuf/dpZMxJ/Mu//B9x0003X3KMnTIuXRzLWMYylrGMZSxjGctYxjKWsYxlLGMZy18L+cZDdAkBKUOEQWizqa1OGzFHZPNEIeMIpiEVzbMCMxNTAIBmewgw5C7LMltOp3JG5XgElUrDRm9FGEEbpEMxxCXErbKES1M7oMjtJV1Z4GUrgR24Wf7rkbXaspMC29vb9rhKcemSNNlRIGgw8irpo53QPTlwYALzTJq8ztDyPeXYjnIqCNHkLGQUCUyZrpS8Q6Ey1Bndtd7uIeEyoGY3xcAg5SZLWN8iZI4h8AvLEfbtJlTEykYfLUY/ZMHQXn5U5kwMIvR65l7Cy+xl0PDQcVdYhBSIShJKF2hMUhfP+kQDETMSNyZn0WQkV4lbSJbKFdvlcyQrCOWQKyPoPf/5Xw794EXt/a4YnIUJYlcepnUOXRhd5WwUtfmjfcMaiqzrTocd+mTGzOcyqCFCCxnUF6O4AmEthNAF2lxueGCpgqkGRfufYTTW/okyJF/nTBhik3VWRwJTDMGPGLavkKPO5Tkb3Qx9zlyuN3vY5vLX7/6Ot+EvPvMlAMB/+HfvAQC0hz3cdh1lA7Y21vGvf566Mr7vt34RCXdYk1w/m4sU/S3KBvRba957LKCzFCPv4hUTbZFzQciINWS2lAxCQrCd0vweCi/rrItiBG3nkIDm96HLbGtA5wO73aIUisJmNLXN6Ai47LjTA62l1ynGvG/KS3/4GSKH7hJMhBnKuh37CFkv4P3OkIcDYYPtapKi3ad9Dx6dxESDy4T7pNf7KrF9Z2bCEE1+drVygGlzXzkjlkGhwbrU7Axtx7P19hBbjPjZtVDFhTUuJePxqmKIhQah/06ceBZ3vew1AIBnnr0fzW2yq9tNgu3X6w1Mzxzg61m396rTaVsS+KshQmiEgUalXEG7RWPJ0sQiqBpTi8hzPj8/135n0+mCzrzSfO3ZIfqbaw3B5ekCDuUovFIwv5zZgUV9BIyHXhhB0bhd7c7aoQJHbKHUl2yCN/fCKz2weiUtsA3I+ujxNe/fXUa1RvP7Ms/XC9XIlqPMxRE6A3r3Fmolm7VsMcF/KhXqnJnu9DPMzRIq8OLmNmbq9Pm1r34FtnhOuPlGIlP96Kc/iqky3cuTp57DsWtvBQCsbZxAixu95IzoSYrENs2Q9QiKO3a++W3fiZe+7PXIc7/06QrKJb6GxCiy3NgGo9MeMksrL0stvSyyf3xx6TaI0flmh4IIrS3CkFTD6YoI/M5U5jtTdqRHS4F2duX0fTBhD07HtONhOykkgjLPpXmOzpD2PXBtA5Uq2ZanUrK1eysV+/4txBHafSYxDgUa7DfZqvhAYfc8dcBb3WjiyH6iPvhbP/gjOH6WMt33Png37rz9VSP35N77P4e03wIAfPubvhP/4Wd+y373a7/7fwIAekzPkSuNhQPX8nWesvb29Onn8bM//dMAgH/xU9+HKy3lchnXHLsRZ04+j6/cRxQiQaBtKXev27Hl+6a8UCmF645SJ8j1jU2PANx78b0GS67cvrDPVUN6KHR489YospUkxcgSZ4d+jpZdA6NdGXcYspHOkB7ztAAMKbo9XCAgq4wwTBO0uJP04QN1BIwsfY7n7muqEwh4DeLr00wlhmLS5wajvEQpQDJgAuiZObzjLe8AAPzW+9+PFv/upmNHsbxGuvOSl9Kc9t/+9IP47//tvTSGa2/Br/yH9wMA3vvr/xfqE7QuGGyt8NgjzM6Tj/Xj/+B1OLSHLuo9v/R38RefeQrtjqleuJJikKbmM73fxh7pIoGlljE/kdLRdWhlO/oB2nZrNJ0YqQGPo2sQfsd7W94s4dA3xnfRXnNsh+jT3qzo1E16Jke7qQuBp8fue1fe6uuZW3u6OTWEKPFn1UeHl3wHrmmgxFURX+bOmXtKEQ6H5EstRDFaTNNQr0WYZMqHGq+3elqhEnG5mg4wwb5QJmP0GOV2yw2H8enPUWnZJ+/+DACg3CjjR//OPwIArG808Z3f9YMAgF9+9/+FZ48/BQB4+7d8BwBgdf0C1tZIX0ulMhIGcfX6CQK+QVd6plNKoddtAyLA7AJRDWw1t2DtQNFHu0lzby8yKCSFOq9ntjZ77vkriTxztCLur5trHJJYWH9chGU7dyneJmWEEefG7/ZqhecoqTxdUZbyQI+U/nu2yvp7/t30EKgeAC2cozVs3u9jizsl3nx9A/VJWqef5nFNyAwJr+OnA4lVPnQjjrBQoffuBdcTuvgrf/6fcHAv2YxWEuOaO15vR+EjuS4nZo3iI3N/4F0/gv1T9LuXvuMaAISC77RIR79w91+g1SJlmpudxjve/hYAwD1/6ebJnTJGdI1lLGMZy1jGMpaxjGUsYxnLWMYylrGM5a+FfMMhuqQQKJciTE9NYXKa6tKzosD09DwAYGu7i9YmcRpk3FIVYRWSI6zlEhBw9F8EUxgwr4YJkJYrZSiOaIdRjOHAkIsLi8IgojcTZc/s95bMN4gcJ1LhI7Icp8Rodv3SeuwRQmg/6+pnlQz5PfMiIOljukGR2UGlD8HcDakEppivpMYk6+0kQY25QVKpcLROvyu8FqSC65oRS2wx2uKJs1uocCZhmGbYaFJkdX6hCsWZzvYW3aci0zh5nrJL1YrLgvW3gYk9TMDJKKGpUhmVMmdoQu2Sylp6xH5XXqQMUKtPol6vISpRVP/U8SehmWOpWmugxrxP3c5J/rsNCI90fgSxFXifefwjWUY/Q86ffZJmu5t0nDneM1F5Amk4mAwhMBRUym3Oc6+tLjIPWWb4nvzMgkNgCCGcPtU4S5ElmGXiwVa3g5iz22IixCLX/08wx835QYqC+ZOGMsHemH5XRNqikGLWt0a5hOUmZXpOrnZQ4u3docb5i7R92H8YP/S3fhAA8PLXEqnqI194ErvufDsA4LX8FwDuu+8+PPAkEdb3W6SnyWATQ67jRqUMcFv2+fk5TE3N4czJFq68cBZFCBTGVojIg56kUGxvZGmSt+mvkulTjkzZoOOUz1sT7LAV5j8FZGh4wPw8hiOFd5wR7t/L8w6I0WP4qEAQT8Yo4bOfbeIMPGfKZNbBZI10pR0qBBVG0pYDzLEO3cncCSuDAcC6VIQZjtYNQa3T3JxRZXEUYI1t0/PrbcRsswKZYoWRWQeWplDwu7axThm2LNd4Zpn4Yn70b34r1hl189BXHoUK6Hib3LijWqlDGS7HMqCHzGeYKywtLgIAznVP4GqIEBr1iWm0OAsZl0qYmZ8BALS21jG/uIu30/t25mQfaULjFzJ2z0zncBk+fr9VAdM2nThxHTrCcsEJYKTJAP3QHcuXEb45MfLHfB5piuAjM+wxzF/h0IBQbjpkfULaxdwszXvb3S7KU0zKPxlhsU4I2EWe89fyDCXmikSe40V7yG+ohCEGjAA0NqhcCrHM5M+3vOT1OHbsGA0n7WOlQ5PSqecfw9595G/8948Q383Nt9yBRBPKZnG2hmOz1wMA/tvvHEfICLMOo19LcRndIduBCQ01oGe0tLiEV7z8hfjMx64GUS+jBWRgfSGVJzve9R28KcJDSgE70GDBjm07UTCXQ9gUHseI0UFfZxzCVEONUo/YP05HDRG+QOBxv9kBjtAv+Txf9sATpAci62J6hol3+32UZpmAuBZgqUZz3nSF/p5NUoBtTB4B+8qka0WkoQzqiHVp/+GDWDhAWe90uYPXvPKVAIDZ+SXcevubAADv+bWfvwTR9S2vfAMuJ//37/4qPv6Xf0HHZq6u8ysXoBSd7zu//5347XdTVjuKQnz4Ix++7HGuhPT7PTzy4H2EaGBdyPIIZ08TLxT0EDOMhvym1xGf3YWVNWysXgQA3HDjzTh3nj632017XGcutH1OAj4SUHmfd/rG/MH6YwEum8vXDk3jYXNGbZXead88xI/wT+i4mcDoKKR9zNTpmbQGPUie68qLDexi27QrJNt1fphBMxG8KgncMDfBpxAoynS+nP29vYcO4sgNhCA9esurcdMtdwEA3vjW7wfgUP+fvIdQOCdOnAEAfN/b3onve5vhwukDIPty+sw6LqxTQ4A+I1p3LdRQZV3/8y/9EX4ZP2KPe/MtN6BSuUrNV4SCLgaOuy8qO98iCBwCnlFcQpasbREi9DRC2MYSjkfLNZvQQlgEHT1Df54zBzH+dY4ds5O3q1mTsK0Qvh83okijJtLuYnwpBW+xY3fSbFdEkWOK/fGuEhAGhRUGWGJ//E38vE70BsgZwZ2GCtdMcgVK4HzFPg9mdrKO+tJeAMC1t78ZG+vEYdvdvoj5Q4S6vP/ez6DH3GcXV8hf/lNumAEAq90L+NiniLMtTUPEddKr9W2aBw8fPIp2h5pPyKqwDYGkiFBcLR5Kb55rdYl3rBRXUHADkUCUkDPktsg4PiACbK0yX2AYwj4PpaD9BjwwyD6HutOefTHcuP6caZtHec6r1q5h0GiTJ2V3detICdcwxs3Pbh4tMGKX/MoMc47JKfqbJZhkru2uzFHiOa+oxZjm7eWcxr6VD9FnpPX5Vhd7eG1eK0Wo8Px35DpCrS/d+kY7rnn8z8mlHIvA4fmj+Kf/8e8DAD7/kccAAHd+8/X43GdI11752lfiUx//HACgP0zwn9/3vq95nm+4QJfWGlmaYTDMcGSeCHrnF/fjxPPU+UXlCcKYXvDJSQ5Q9BJsbZBjWaghtAkQpB23IGVlSdLUcZUWCg0ueUyTATIuKyry1AZCbHlR4UMIFXA5YmYT8NIKwpTgFB7hq97hWAL0/xFScrM9c8E2ZpLct7uBb3nRHgDAcrODe9bJ4Lx4qoZJDk5tMsRZQmKRHXCRKejUdK3T0Ew2J7mkbLsLnNwieGylFsHME70kR5tJBcMggOTFqbnMdOAWV9ubqY0DLhyZQZawMeEuIGmWWII5BHDBrTy87JrqSonWCmmWYrvZw+wsGSqdwzUnkAFWudvDoGegrt4EOeLg+8SSHqR+5Jl6z9ojgr605MfvCJPb4wrpuvEJG7DwblBRYASi75eegIJXIipf+j0Kt7BM6fj7djXw9tvJWd0YzOCTz9Nk+PKpMmrcbSxP6PnVAmA365NMCvQi0otmklsix7zJQSgFrDEk+ODeBXS6XCrWz7G0h8o7/uh3/wiCnbcf+8F/ir9Knl97BIvztODfAD2r1toAOUN+v/07vxsf/5OPAACuveEF+OJnP8Xlx1dJtAsaUgDRn4jMMyX9D8IyNQ0AuDONKUWT1tEzv5FBaURPBAetdTbwbItX8uMvCMx54fRmhz+28wMvCLzgvC0rcMEMIdy5bOMCaHvNIiW7sW8pxptvInu80ktwLwck76wEaDDRZTel+1ALI+yqs46mBYZcHjjUytqQgvWnM5A4x/pTK4UIuOS4l+cuwBjUsGuRAvlJQg5NmmrEEV1rvTaPJ56mBdrUUgWtZmqvCADK1TJm9pB+BZWnoew7XODc+fO4WqK0RpKkWD5/Grt201zX2t5AICnQdeDgIVsOnmfk1EVxbOeTdNhxi8UwGmnUA4Ar19g503AlhL79UP68ZnQTnu7sCHDsLB3zu0p5AQchQ9exb8dP/srP3Phj764G3n4HPZO1/gCfO0PP9eWT05hkfTLLh921Kq5dIFtSEcCFi3TPwmmJhAOYXU5oKUzhJ//luwEAt1x3M/7kz8hufPHBh8D9LvCqV7wcWx36z7UcCLvl5tvx7JmvAAAuLG9izx4iSD12yyGcOklBUENMnuYppiZIH2sTA7S2aKRRXMHv/e4Hsbm1hSsuQkJGFcAr/ZIytx0ERRDZEsIRcmT/eXqE4G4RafbzlMIPeAp/YeB1kvW7D3v6o/3p0z73wJ7CjF1w+IN2dfZmJBhrS8bhzZlu6Ego8HhwdxXfehu9U8u9Pu7mTmOvrjcwwx3IekPSj4lcYI+xTUmONnfr3M5yZHwv0yEHyKf2Ynov6cdk+1G84lUU6Lrn3vuwd/9tAIAf+/s/g/9R+Qff+6P4B9872sXqT+/5r/izT3wRAPCBP/hdgLs8Dgc926zoaogQEmEUI02HtuOr0IUj8pYxBty9VCn3fM+cJx/i8597D971N38YAPClL3zOqY71aaRnh6Q3z7ikDs1D7NeYbsYQTomka5oxarTMXPjVjIzGpaWQl0lW0kW7j8Y2zcf49tvJNl3s9/H5FXqfX1auYJa7hfXYb6oKgSX2m/Kho3HYHGQ2CD/kOfRN7/gevOlv/B+4VCoj/3vDy7+JPrz8MrvCBdFvf+lNeObUAwCApUUqse22N7HVJKDA9tY5xEtUOrS3sQfPPnM3wqu1YtSgBl62mytsDbAIyjbx5fva1j+C9potBS6RYwjrtWbbR5+VV+4vpbEhyjW94pJHmiCdr+3mTzlCAcFbbXm89ktfR4KiRgK3zSvRJB+cz8frywNLFbzzxUSpcqrZx6fO0zz/2qkSppn0fcB+00IR2eBX2k/snJZDIed3MOF119SefbjpxRRgf+vbfgB//EcULLjthbfgmmMUwDh46Abc98AXAAB3vmSvHf3nH/4UAGB29iACMLH7nilcc91bAQC7F6cAADddfwyrLWoYlX3hou0YWWR9CHl1AqZSSlTLJQySAGUGLkRRiEGfbLIQBRSvx5SfdAk84nbb2dDzlU1ixouja8B2+yTz4s1tplTe6pTXiVP6zbC8ic4/llfUqf2mLD4lDgABz4/y7RbculNw4nPvYowfuIsafK33+/iL02SL3zDRsImiaW5QUKlNYck0+OlXoZnYf6ufQHFC+ud/hkpYf+3PnsSVFsP9/9O/9BMAgMFwgMYU2dS77/k8bnnhbQCA++99ABey1a95vHHp4ljGMpaxjGUsYxnLWMYylrGMZSxjGctY/lrINxyiCwAUJDZWVvCEeAIAEEgNk78dDHo2M7nBiKZrr78Jm5tNAEBUmsL6GmXsGrUSmi2K3u7bT0ioze2Whbb2+wnarRafQ0ArikjHUYzEBFEtkiL3Mt9wnyFcAsi25BYWNUUZcy87YDNQPorLZCByIDQooMCLAPO+kxGeWKZszEPH2/iuWykCuqtRRm5ISlsU2b5mfgLdLl3PVm+INmfEFmQJgq8/UfR3ripxitvPLk1XMeDsphISIY+nXIosSXVpnrJGqys9FIwOOrDvWpw8TTDWXrNvLy/iVu5KadQnzDXr/4e9/w6X5KrOPeDfrtC5T85nch6NshAiR5GDyQ4Yg22MsY3jNc732vc6+zonHAgOJGMw2QKTBAgUQXGkkWY0ec6Zk8/p3NVVtb8/1qrqPpIA28x897O/Xs8Dc9TdVbWr9qq1117rXe/qPge3gyEh9r7wUioP8cRnvIiV5bN87VZptVwaKFOrie7UaxVAGSCTAfS+NaYLsZeUT7T5R8bpGXhMQlxqnN6W2U4Xlppmd7rf27gHIWgMblJ6kpbN0tWhuAfRZXuz8AobzpR6wIZxOme4brfFd0Y/G3A4fF6i/l+9e5kfeJJkA2bKOUIlJj6mKK1LJgZYU5TOufUaS8o8OeFnyel4A9WngnUY1eYIh3bt5J7DD8jnI0W+4xWvlaE9Ikv5zcT3DIFe7/jJowBMTo3Sysq8nV+YY2JSMlJf+eLn8FwvhS9fWFHYNBHG1XJiYwS1CVrarNlkJUqPnWwX8WdIy1I3E3snWRy7CQVjO43u970ZzeT3ib1xerLjmwAUveSVPbqYyjdYHmxXh1PcjAkxSdbVMRhFViXlz1HR48FFQdXefrrC914irZ3HCxk6qktHVgUlc2higJV1QVvMbdSpKTJv0s3gJ+W8imKdzPjMa7ZueiBHECpCpVjieS98FgBnThynWJb5KBVEr46dWGTrNtHn+YXltHFJo1kjUJTvM58iKfGHHrqfTCT2z835xC1FTQRBDwTlIoi1xFGEJWZ9Q6/vGWp1ud9MxmP3rh0ARPqeL92xmmbFXT9HpE1WbBimNqIXEZogC3tLzGxsu5B7x5A2MnAeGyFi4242ND13b0bb6bGFPZ87Cdlw90Q9+m27RPrGYHSdMVqCH5VcHjwvZTdfn2vwmr1SQjpR9AlUnx5QItxLJgY4uyC6dWatxomG/F2PwlSfULR2ptHi8oPPSu/tO17yAwAcuuxx7Nlxdfr5n/7NbwDwkhe+BICdOw8wNqVl3utw4xcFCXb63HFcX9Gd2uzDdwytpvgVcRCBI/p26sQDzGzZe3EWOtSVMDYlgI1tvLkRQHLhBDZpnR5z8A2IbuOeed5EDP5Y9sb0+ECJ9BDi9zRu6RLN94y/t3a55yHJJZI1rwflkaCYTdcO4YDRxjq4+h5nLEeX1wG46dgKb7xK1oqpUo6mrrF3Lwmq5srpYZbW5J06uVLDLck4tw8VmF+ReXQ7oktHbvsKr3jt6wF49Su7JWDPf86O9G/3MUo3/iPy6c/cwOqijH3Hjj2cD2W9Xlta41f+5/8B4OXP/+C3dY3HFBtjowCDSUs2jeOka4PvZRlQm/vVr35RjjFZCoq2PHDpFVx66JB87ni9BYQ910g+7SLaMU4PQXiP7U39pk01aD0nezTK3WxqjmAfE9VsUoRET8mkAZPYJq/Q87d+X87yoFaQ3HJ8jddfJnuLyVKWhurT4WWxQZdPDbKka93plTodJR6fGcyRrL+x/nvbZ/71GyC6/nPyhMc9gQ9/THTj+1/7vQD8+dv+hJUVQTdbx8XTRle/8NYf4oZP3cbGRv2CXb8rioCybZJ5MibbffZxKIT00EWpuPluubINU/stiMLNBtQ4LnGUENN3y6ONY7pIQOOltqxbTuWyWReS0rLoUTba9Ng88wiU6iZbiNiqdH104m5DKCcDSYml2sm2G3HfnKxzX3xonR++WvZ0E+UMLV0r71pMdGmAlUrigzdoKUppxsmSd5MKA0UVLyzy4pd+n1y3cpiXKaE37tZ01E+9doanXvtMAN7zob8H4A//6g+Y2b5DDquc5tgx8bcff9VTuPpqKaV921/9EgCdZour98n5Pl0sUmvIs45cX/yRiyCZTJZtO3Zzfu4MG1VZYxtAVtFd2dwA7Yr4Ujbxb+NuUzrHeGkzNWxIrM0fTFb3Iz37OWN6aGmsZXODukRXbPe3CRI1CujqhOlpVtUTS3gsOhzbU93VA05NyxhNB5JqDjcL+oyTZ23KRY4vyvrwmYc2+LVnSvn7eClL0xNduW9B3pPdA1mWN8Qu1TqR0IkAW3J5FKjLDq1y+PNfeC1v+Z33cOEkTMv8X3ytlFx/8XOfYceU7Bmz7h6mhsTfO3xfjl1bdwJw18pd3/CMfURXX/rSl770pS996Utf+tKXvvSlL33pS1/+W8h/QUSXAevgZXO0tQVzeWiIbFY4L3zPY2lJajY9JQVdXpwnX5TsUqNZZ6AkGb1mswUa6T9z4gQAuXKRRjOJzFuSovSw0802REHUzVInsULH72ZCe+pjH7NVsdOTKe39fhMB7+ZbTv/o5dFQNNSWHXLv+8dcDs9JdD83mCHQ6G/LwoIiua7cIlHR5WZAW2vVwyim4ynxpWPpKIKiqddqNTrsGJZrnF6pUtI63lotJJ+TZ9nqRBT1WWU1wxV2Ip7zPCFdnT83lwaswyBKObrqG3LdwfEsGf3suS/bw7/98wm95RgbXzw+pWajzr133cb8mYU0Wl6rreIqh1ocg024tBLeIZw0K26s080m96K7TIJ6yfQgvnqv3ENiGoc8ivC5N1tg2FQY3m2DrVmDXmQXyuUExJ1GV5+SLJZrkLbbCcAiOZeb8iBMTcu9Hxp3uOOE6NPARI5Qz1GNYiramvZxW4R3ab7eIoi6teIdHWPHWpr6LJpKbGmimFxLMuRb9l/D3v3CZ3N8oc4rXvxa/qPy6pe+kX/95D8DMDEqWYqVjaN0GjKegYGvUa0KynB26w5KpSFOHr3pP3ydf5fYGHqzhjYgSrNXJq2hd7Jij8RM6Peul6JGpd12wh+RcOr4JDoTdxpsylMkmU7Pp8vn1kWVdtGDXW4b4T4h/VtvoIe7pIsk7EVYJIhPJSno3luK5ukiMybH5LeHRiLuPC9ZocKgm5LJt7BUK/L5k7YPA3Bqo0moGc04tnRcOW9oIFRUTEs5A6q1kK1q289Vmwwrsf3o2Baq2na7NDJKZVUyWSg3ysZGle98omQg5+dWuOnWGwHIFlz27dwHQMYVW1mrBywunQHgxc+Z4SP/cgqAfDFHU5FWF0OMY8jmHMChVpGsbrE8SFEbQezYsZOW3s+5MycBGBwawdP3rd2ssLaWkPB2W2GnKB66iAXbwxUh2WbVydj0NMVI9LjHdvWAe4zTgwrt4WvqHteDssGmHIROypkRpVlznC4ZhvE90PboMzOCmrpiOsNdi9JMoDwA2YJ837SWmurT49U2nd5oYvWeK80gtU3NMCbOy9815cYhbPPOP/2fAPzAT/w6iYvUi+YC+Ik3/QoAX/76XQBcs/9Krtl/JQCf/MoXyScNFEIfV5+x54g+XX3lJbQDRf9kjnKz3Aanzp5n565D6XO5oGIMjq9oT13XXSeHpza/3Wo9xhr0DaBlBlKEjdOd51TiHm4/04PYAro8b702podjJOVP8np4mZLL9vpSziYU0KPMWO/4e+/DkiIFx8Zlnbxua4bbzgmCuzSaoak/bVrLelV8j+v3CE/Ow+sNQcLpySqa3l6JOzT0nWnpaNr1Nh9+tyAhfvpXr+PbFQvcckS4aC8/INxff/Fr7+cVPyzZ76c+aTdvu0WqHEaGJpk7e/LbvuY3klyhyP5LH8eZM2eJFJ08ODiAr+jFc3Pn2VDbGDQFBTQzPchGXX7bbLZ54MgDerYu0tn0EuBsQhl3Kxw28+YkNkt0SBA9yW97ebk2aQl6UA+/aXdttpuu/RjvgNOr0076DkzPCOrjqinDnYroKo34ZAvapKdHn56xW7hPH15tEKn+Rzamre9R21raVv00HUOt1gZW9Lqjjx7Xv1POBaLh9xw+wk++WXh2Xv408bvuuONW7rnvTgAO7DfcdEbG8Ft/+LeMT84yrwj/CysGjI+sD0kVg+3xhUyXd1TfvbjTSjmBxWNJEO2WbpOTBFXTRc30YKkECWO7x/FIu9uD3NqsPV0Uptl0yKN1RfYJvevq5uOFXrBbEWKV725iSvzVp+z0uPG06JI/ZKir2rUtrGvTlOfuE104utKgE3cR0WHC1WmhqXu6tqIk1+sNfvK1wuV28MlP580/+vOPGjvARz/xPgCe98xnAFDveGyfFITihz93Ax/8qCB53vzDP85V26UBy9/8tqCZ//YDf8RHP/F+AF7w0r3887tuAyDrGoojwgm3fIFtVBxbaq2IejOgUEg4utdSRGC93sJRWzGofHnr6wFjY4JOajQa1BIElON1fZcUxdVTMQHdhigGMMmzNz3LYS/iWX1pk+lxj3rI5NNz2h6+t7gnltBLXN9jG92kKYvf3QtaJ937zW4XXXratiK3roofWR6JqCin4FQ2x3pdjnvZIVnnbj2xmlZaNNodIr2uk3EwGfW99X6e/4JXcyHlnvljXH3pUwE4vibo0ic94WkMDsn+YP8lPu95p9go18CJUw99y3P+lwt0OY6hXM4RhyEdhRhW1jeIQnnp88USQUede32pK9UqTS2hi+KQbEaMSS7v02qowihZoe95tBSmZ93uhhUDrhrLKIx4dNchtKNdstiqxD3druhZoFNfyaYbRzmutfm31sd4CgcvO3Tq+gIY0iDc43aIIo/mclwyLs70+dUKowrRbzcDNvQFKGiQqpzJ0NLAUs51eUghmmPlPJNlLT2sNfWZe0yoUViJWowqGWulEVLISFCklPPp6OZzOYE3G8tnPiVdgoK4k1Zzup08WxVuePT0/XI/Tkw2J9fN5QqiwemzunjAwziOaNUr2LjdA4V3icLk7x4nKzFkm7rcmW6nqN4OUj3BrUQPN0OaI0xaNtIlTbUpEWKEtY/WMWyUlm11O02ZnutZ4rCRfvxIsVEbx5c5M17P0uyB1XKzJ+9VgslcnssnJMA5v7JBSQ1uu95hXUvWVrUUoeB4tLSky8NhSTfgY7kcEwXRlyUlx/Rdl7yWIM2dfpD1OQkifP3EeSobsuH4X7/0p48e/DeQ5175bD7yQVmQF5blXI7ngK9kru0QXHk+8+fPkfdXCIL2Y5/s2xUjZYIJVB7H7QYWYlLHKrEVQnipf5teEks3ha+njS9wiDu6DbMRaZfMnnl2nAyP6mZn7GM2ed0kaQCiV2niTRsPS1fHknOlQ3B64NoOJM7c43eILk0VCuzVjlIr61XKCTlqo8O6bn4X8/LMSp7HqsLcfWM43xSbODGYY1qJe88b+a01pOXTReOxc0ZJgCtr5BRuHjUbNNWmF4bl++3bHF76vFcB8A/vfx9XXHoNANXKGssLspnY2LgXgHwxS6yOR7NWTZ2fwDhwkUhVQZxyz/PJ5vNEsSR1jHFotuRezp47iaNLeNCRMWX8LEYDFiOjE6wlgbgw6M6fls3L5qEbDOhFy28iQE3tX/IDf5O9SRwxydk8ghScniCpoRu8sN1gWvdrl6TTieNLQgQAz6RVTE/eJXM65PkcmpI1ZHmjSU5/2u6EbOj8rKi9mRkssFATm5h1XKp6b1MZlyu3i2P3oJZ/LC81eNUrXsm/Vw4cvPxRnx158C5GBuW8z37SC/janUL43IpkXbz7/q9T1E7JpVwBf0T0u+zAbbfeRD1tenIBxSLrqLHYdKMVE0bapdQvpAHwuLEuXxvoJvJ6Hfy4pyw6Kbvoccjp+a2Ne5IpMd0yjJ7P0uN6fxth9R1PyzEgDcb1dvsztneT2hN4d5Oykbgb7Mr6oOvcsw/IHMyWiuwYEb1a3WgyoucNmyEbansXG/LvoOdzXptf+MbhmFJiFEd8pgbEf5nTYEbWK/KSF76QCyUGuPHLXwSgNCB258/+4lfZs+dKAJ72lOfxwIPa5MBkuPX2uy/YtR8pzUaD++65Cz+Tx1f7Oz09zfm5kwCUC1mWV/U5ZMUPrdTb1LRsyDgODe1CinF6AqZ6AdPt1iw+Vu9msCeYngZJe4NfiY70+uLdhc9uWgCT5Ez3/NJB75FBMQdXO5Ph9nQE9cCqr3r9XtGhYT/HZTOyKVur1NF+BXQI2QjlP5a0y+Gg7zFfTRpEGc5qGf5UvsCgNlNZ1ODg9ESRbyfAlchsRsb5Q9/xlkd9d2ruDNmC6PGzrn4yT33yFQD82ye+wJX7L+HkA1/8tq//WGKIZCZM17foLRHrlsfrvERN4jixPU46p14mS/SI8mhjNs+3ISG8t3RJxntaOvU24EhNnsWmOhqxGcggvlF6BuPS7dLnPjIapiWz6uc79FCGuOlaef0BeWdmiwW+c1D+Xqs0GVP72WmGbCjFwqJS0AxlPM5uiK64GM7o+zWWzTFVlDlfUF3yjceY0odcdclBHqtf3q0338DUhJRxOzkFSCydSgNd27Zt50d/+K0APO0pz37U8a95zfcwtyyBikv2XMkH/1n8qbDWZm1t6VG/vxBiDPhOTC6XY8/uHQDcde86+/cfAODew4dTmoqa+gSTU7PpFLmui5cCNXoBBL162d23GSfx4+PuHi4KUn01XqJrPQFPE/ckBMF2ko6i+tswAAVaGCfTY6169qJ09c8tdmMUUVv12fNAGza9/FrxRXYOlLlyu/jgC0srbFedODdX5aiuadPaOXMsn+XkquhKxjicrqhdKuSZ1JL0De1aefzhh7n86VwwuXz6QPr3gzUpjb3+OS/k6U8R0MxHP/ohTpyUbtdObInawaNP8gjply72pS996Utf+tKXvvSlL33pS1/60pe+9OW/hVw0RJcx5p3Ai4FFa+2lj/H9a4GfR8KcVeBHrLXfMgUVxxGN2gatRh1Ho55DI0NsJK2M69U0Wpogt4JWSKyErwODedqaEQ97kUKaoqnWWmkGMeu5BGFCYuimEGPju9hOktH0k5Fhox7ET1J24fndrFIPaW8S6ZXjJXJs6GYe0+y7E1KYzaRj2HVQos17vUGsK8dlNUO/s1xI473zTq17XePiK6mkrxhE17cUFCZ7NggoJGWe7QBfUTrJvY0PZdMo9uO2T3B2WdAFQyWf9ZqMIfI8fM1slbNy3GocEynhaybnpZn7RrvG8dPSct3X69qOiw3kXK12k+9/i0Rv3/XnN7Cp9OECSy6f5+ChS8kVhvjiZz4OQBgasjmJWnc6IXGcRNy7KJwu0a3tJqFM8iXdFsc9MNRNpY0ACUm5ibvlkbYna5TAUHuzPjikZUUpIizsZjaNSUmjrY1S+GqC4nI8B7ekZTPZkIy2kH329DQ2oxF8RT9uG86n8PAzVLvTYF0yCv91FV3meYasXvdMJ6So795yM8DXv0MtXfR8l6gt11g4cj+1hmQTto4N4Cekwf8B+drDt3D3gwJlHRuTzNTi4jlyWs4UBBGTu6WMrbJmqLfiTdNwQcVacLI4GW3jHQXd9uoOoCT1m3QiSfiFXRJK25OVdBK9w8X1i/p9TKwoVuP4XUJcYzAJkiHNNpIiIXpLXzfhvlI+6G75gMDNun8nWe/kWsZ1KMzI334mSNvZP3VokI4WAJX08K3FXALWYa1STxGbcUiqN47qh+87+IqqWHagnBXdXWi20uYVkT7TkUIGq40F9ufKhFVBDMStNnZUst+VyloK6X/iNYLc+pM/ejt/+Y6/BODue28jV5BrdALDuZV5fRby/m2dmqaoWe5qdZU3/JCQlb/zrz6btsn+BkVe35ZYG9NuNRgcHKThy3XazTqFosD+XS9PW9E/KysryUGpbnVa9ZRkNVMs0GomRMIJwrCDTUvwTdrEhU2FGnEPR3Nirzo9euGRuBHmEZlrHc4mdepmJGNspMhpr1tqkqi6N+BSHpI5ecrgMLG2Jve0C8y2ocF0fZ8Pa7g5zcIGkNHMu9G1rt7q0GnJddc6EeNDMpehhdNa0p+gnHbt2M7Ali5Ka2VedGF0epqHz8rfu7dM01DTPJ7vrk0JFvtNP/AW/s///UUADu4+xGe+JO3Yk4Y37bbHvj2StTxz5iw/8v1SQvs3f/FR8t5gTznVBRRriTstMA4myRbTi5R4RLkh6NoR93yfnKun8U7SjMLStTE9pcubYcW9n6s4bnfNM3S/Nz0o5bQ0P05RXDbu0kcICqJbEgvg5DwKs2qbsj75srw/T82WwJPzFfX0s4UsvifZ7fsaYVo6GltDVq8Xd+S8rm/I6nXnohYDSt2wUG/2oNvks4Gs4Z+1dPEnJrZQ3H4l36784g+9adN/79p1CSOK+Gi3q8xskTKnE4czbJ3a+qjjL5xYoqhD3IrxFAVw8uRx1tfk+q6Xw9OSmnZHy2PDenedotcwhF3/R8X0vgXGgE1Qz+n/db8D0oYZRKQoHXpKfWxPeWSa3+8SzFtLlxQaSBpAdV1Pg9G1JzMAQ5PyDj0xU0hLedy2lgoNZSlqCf355Rr4ct0o7q51UaJPrsFT2xNlHUas6OGZ9QbTipxIEHFuWOPPf/l1ALzmNd/FxE5FPgzs5j8rf/Du3wHgkr1yjpc8/xU4atv37r6CrVulYcCPvu6H+JM//Etc7z/un/17xD6S+N32lJJGPeTckVpZ1+9WUmBTpLzn+KnfEycloe1meupMJkcUayOgXrSVcXoqCtW/cTaPqYvkkaPlz0RBvJ4+YnHqd0vDl8RvSoj0LZlRsSHFEUsuJwc+JVvG9eU+BvW8M8Ucnis6cbjZQbdsdCLn0brkmdRvajqWIbVNi80gpZhJ9jBjhQxFteF33fAxTt0laKuh7Zew84onALC81uTSSwXRNVIYkn/3D3H7Q9K069J9j+Ohh6T8+Iqde7n1Adm+X3dQUIA33XITW2dFRz/y8U/ym78rZbK/8GO/fVH8JRC/uNNqMjgwyMmTpwBwnByHteQ7k3HoaDM1T/dEqyvLeLofHxkZpTwg6LW5c2e71Thp0zn7iDUssR/dMlfj+mT1eUdadRN2op5SfIeo3a16StbWbmOEHpoJes7r9FRcJD6OiYl1/58dsRw8KPufy62PpxVIRV26dwxk8HTOV1fqqEvESi1gUm34+eVkTwGRbjOrWIbycj+rnYi82uLRCSGEz2wchfox+XFxDxdC/ui9fwzAd77iuwE4ePBxvPt97wKgXBzm5371ewD40998H83mt97MXczSxb8D/hz4h2/w/Qng6dbaNWPMC4C/Ab4lkYHv+UxOTHJu7lz62erqSlqPG9sQR2tLW1qONzw6TashG10b21T5RsbGqVUkaOOp0xxFYVoq1MGDXjiqHmejuMdAJpuGsLtZdLrH2ahD94uky4NNO7G5XkSkJX9DQwNpyUillbwIEe2q/PbVT9xGWzlqbjuzzNUjwgOyY0Tu/c75ZbbqojjierTTF8QypM5XVeuP/dCh3ZTFvOz7VNRwb7QD9ho533BRDMGJlQr7xuUz62bIO3V9lm3GymKErWM4qrXkSQkbxuDl5J4d1yXWAErcaRF25Pnk9MVrrMY88eonyRhbqywvnAXg8c/ew+2fkw3GxTCOjXqNr99+CwbD5Ow2ue+RiRTe+vBD99FQrqd0/k3UVYveTmLW0IWU6ve4pIGpXmfOGLqlkLbb0WUTyLJnU9i7iUhKFpPNRtxjfG0Pt4FDN+Dqd8tqE1/hVdftoa4BiZvOrvG0KXGsdoxK+cPXFpbYofo0nvFoaqmwaxwGVZ8aGtwd8nwCnfeS51LXBbcWdCiq0R4oyxhOrNTYOSz6FLUbZJLSp2yB8ydkQfrAP/0plz5BOpoNaZBhZnySXvmTd/8FAI+/6jIu2y8cOl+97QYA1hZraTcoL+syPiKlBLuvdXnwKwEXR5tQh8lLPeTYdnVFkPC6qMUJD4BL2uXHzWHjdve3adArcZpIg89RZ73rCMZheg0nk+0p+UgCWjZ1vCzg9NSopb+1vTrccy+bzpXiu+Vfz9JYEF17zVNmCBwZ+21nFrhWn/c2tU13za+wNSf2ZNT1aWiiwDGGgi5DTb3PnHEJ24lt8qjpb6vtDmV9L4dLMoZjy3W2lpKycyeFa8fWsnJKFt/IcXn594iTdf+D8tmf/eXf8PgnPxGAQqHEsnbiNXGbUEvMVqtid370DT/PbXdLIHVl/WbGyqL7T3rebr764fu5WGKxxDZibu40+ZzY+gOXXoWvTlnG93BGJJhX09LMysYq7WbSabGFsfLMW2GQ6qSxCf9ZmAYTjOtv6hTc1YKuTevtINStpu469VJqvVn35HjV9UcE0NLAQLeSjkgDWd9x6W7artzTF47Ncf2sBPe2johtunN+mZ3aQXPc99loJe+ToYi8I021TcOZDKHqRc5zaOk1VgnYrfo+MSSBkJseOpXeLwSMTk+nT2L79Ej6d8HnUZIUsR47c45XvuQNANQr57hkz1UAjE4OAXDNpU/giHar2ra9QEFLop7/siv46D+cIIwiLrgYNLnm9DjW0OXa6n7uaGlTHDa673/cE/Q23fIwNpW4JvKIhE7vZjLsKQEB8atSc9QTbOvlI0lP3bPWOm532Y3CNADmlpKAiKW1KD942ZOmCXNip248u8ZzR8Um7VSf5s7zK+zQYPpUxqet61wcW3JW3rWWBoELxqR+U95xyOvmtdoK2feIzqC2PMUv/sFfyXi8b7/kDGCpIYH8c4viH8WBz823CkfJwNBhJodlk7bn1QdonSxekGt+M7E2TrkQa9Va18aEte78aGn6Jn4bQ0/w1O0p++r1kXoTLsm5wm6galNgKvmp0/Mfzma+ptQkbS5lSz5LeVdxupxOfpoBSlX65Ye2EPliYz9/fIHnTMnmcpvaprt69Gkml6HdSfjDIJuUmutaN+h7dAKxXSMFn426/L3aCtimfs+I+kobkWFCy4Xe/e738DM//6t8u/I/vvcXADi2fBiAh47M8SOv/xEAvv9nv5v3/P6HAPjNd/4uG+sdoW25GGJDxG70rjW63jhON1jkyzOxnQa2m3klmfOg3UmnOSmpta7HmPqO7XYrtU0b6+td+2YcbJQENXpK8fVv43jdYIehq0Mpx5fXtas2TvXH9i55SZDQM9JtF3jx9kkaRub0y2eWed64rDFbx2S9v/v8CtsVODCby9IMkmtY/MQ2Kc3KgO+l3MfDuUzaHa/SDCjr2Ad0rTm5XmNGbUUchgRaUnz4gQfIDYit2r1rC0tVsZvb6cq1+2SbPt+o8sARASzwIji47xC98qIndCkAbr7lFo7c+SUArrx+F3d+6iQXQzphyOLKEnt372R5RcgvbdihPDAEQC6Xp6p7/lpN7NbI8CCe0vxsrK/T7iT+CillhUn/7fLdShVjT3A28Z+spa3ldFa7XhvHxSa8zXRwlMswDto9QVztkmigl+u0y9cF6TuhAVGLSQOor758C+Wy6MJDscslalf2abfCm04tcY1SG102MUhddWWwlKWWrMt5GctIwWdpXeMnWZ+GjqERdZhQ+qNnPUV4tC578WuBIS6k/PT3/NTmD3KT7P3unwbgs1//LDfd/K8AfMcbnsP7/1z2fEnO7bHkogW6rLVfMsbs+Cbff7XnP28BtlyssfSlL33pS1/60pe+9KUvfelLX/rSl7705b+//P8KGf0PAjd8oy+NMW8C3gRCjN5o1BgZ28baupZrBFWaTSnhsERpB4W8orSq1Qqtppa0AKFmReZOn1CyeECzqNlMLs34xptg95F2NAPbU2L0WF3JJPuj4UXXSbttpKWEkQVF3cSRSVEU9Xqd4qBkLIpG8sOB2+bynRKFfcK2Ie5dWAdgR9lJywLP1yXyumOiRCHJYK20WU264WS9tFwjITDM4tDRe3Y9Q17HH7hu2oEqqyR3A8UcHS0Pmju/xKp2jCoWCyyvy3PfqAW0Nave5f90Ush/NmcYHJGo+ZkTjbQjZqumx9iQ22+/Wf52Ar7reyQbcMOnbyStZ7lAskmfXJ9CqUypWOLUCclOTM/sSLtmPeWZL+DTHxOi8zS7Y71HsNslJT2bkVXpZzYp7bFpmZV0vkoQOV0i6C73d7d0w5jNHajiBCGW3hA9KK/ejjA2JUqNtdOOV8xz1QEhJ3zyrkHumZfjRgs+Dc1IzVVFn3ZPlMnruSrLLTa0S+dAxmd6NNEn1RVMipT0DGQ1I9HEoaGZhYxmC4ZKWRxFpbQ6EbuvEMRDYXiM0SmBvn7l1tt5zXf+BI+UtUDe4+HMACdPCsqm6DucPClZ7W2Tl8j3xQ3m58/LNYIqsZLRl0oD4Na7yIJvU3p1KUnduZlCDxKihzQ+DtOsziY0VgLMC9s9SC8nPc64kh22FozqhJcbImytoyehF71lH1GXaXuy5Kbn//Xb5EZ6ftOD+OpF4CTobc0gmqzLFbsl23zd7ABHlmU8l4zlKWcTXRJ01I7JIjm9Vn25nRKClzyPqWHRshRtag2hIigcLAVFkAVuRF0zmtmCogTzPpGOsRWErOn3juOwoSSfq/UO7/jHtwPw5Cc+F4Bt27bwtrf9IQDPffYLqKwLQmJkZDvl8hAAW6Z3AXDyzDxjQ5K137/7EKGWtcyMTzI4rcT1pxe4ELJJn4yL4/pEYZOGIjk67QZRlNOxjvLAYSkXyCmKpJ0tYJOGBV6editBCBpMkn1OS7Bt2oHPxgFGG7IY4/SUK4YYRZ6m3TYxPcT1tkeXA1AC5S58IiZBdFnbRfpYG2OSMmW1iSbjcPluyWg/aVeZoyvy+aEtI3R0yAtKsLtrskyyKgTrAYGW4OVdh2lFEVYjmScvJiUo9g34+nrUmiHnFJ28c0DWpm2TQ3z2vVLOc/1LfgDKE8mToN7Sbk3fAihz4swJVuYEIfGGV/0oN9/2FQB+5S2/BsAt99/B/OIcAOFaiUYga6jnF9mxb4AzD1yY8qDNtknRNMLQLd87bk+5KsRRUjrRu4YlCCoe4fM8wn72rGdJQw79cTrnXq6EzSbrn/opNhJEFrIOpuuY6SHeTZE4PeWMjxhbgryJ1XdzCh5X7hFdevKuYR5elvfnyuEW82p7ihWZ+90TRTx9JuFGQGAT9J/L1mFZ5yq6znnWdJHCBvK63rbdOEWCDU2I7zA9u/WCIbkSGdfKhfEdss79yfG/oF6Te3vd97yRT9wg5R1T4zN8/HO3XNBrb9anZH4cnMfq7ts7fyrWho+wG+lhTEwklANqRx2/i4DvaYgha1PiLMWgnQm7qOcuostsdtJ4JNreGstmR07tGBEmKadOmsdkPK7cLX74E3cMcv+C6Mj20RJxRq59Vte6PRNlnKRsbiOko8/Edxx2jSb6JOd1e/SJMGYgoVvJxUT6ebGs6LIWoP7PpZc/iQ99/BMAvPL79/Ptyp4xQeP85Ou7qJzf+V//FxTxPzW6ha9WbiKIvwls4j8gj9YlKSNMUVNx2LUL6W9Iu+dhTNq4xPQ2GogjSrp+J59t2TLB8soqIE0UwrDbzTEtAXMdkvLXXttmw6TpTRd5ajBp2XSqa8ZqR/PE9HVpSRIEvO0kqDTDZdOyiDxp2wj3LUglzGXjeVa1YuesNvTaO1XG0bWrtdYmMokuGfaMip2pqJ/jxV3zGYdxuqdrey5N1beEaWe4kKWqZOwTM1sIcvLMvvNlr6ajHcHve/goL3rWoxuz3H3y6wBMjm3FdJbTz+fPy7s7MCsl+vedepDd23cA8Le//S5e/3OvkPG02vhKNZBU8H078kifycaW+48cT9eg2EI2Jz7TyuoagVZLJXv2ffsOcOLECRlP0CZOUIuO19PjJEGGdv1kS5T6PtJnTN6NOAx76D0ydH/QXfPSdcwxPejAnmulSMEee2actHt0rKh9Z7DE1fuHALhu2wCnKzKGPZmQQfXBH1gU/do+mscZkHOVm9JBGGB2uMDBIZnzU+vybAYyLpmk5NoabE39q6JPpDbAyYotu+WD7+QJr/phHXyJiy3Puvp6PvGv7wbAZYDLrhZmrHu/OvcNj/l/HugyxjwTCXQ95Rv9xlr7N0hpI76fv0g1R335/xfp1Scv09envvznpVeXTEKO1Ze+/CelV58cN9PXp778p2WTbXKyfV3qy7clm/XJ7+tTX/7T0telvlwo6ftMfflW8v800GWMuRx4O/ACa+3Kv+cYP5NhdssO7r7nQXIFiR4aG6Sk2ZlMlnJJauXX19YBaHdiMjn5LOo004zm4NAQDc0AWiUuCkKbRm+N00MkaOKebJXpIUi13f9Porg9xJebuCqSw92YnLb2DMIgjSwPTgywUZUxX75fUDf7tkwxo3XVh88t09Es9Z5sQFWRFTaQ79dbEU3NcsQ5S7Ek0eRM1mNOiauH85l0KAOFhIy+xaQS82VwaCu5XSYBAABlJavbm89yqilqUxiY4J5//RQApdIwsT7DLpeLSQFGWc+loxmNrdtHqdXluS/Pr+qzhownWfXLL7+Ohx8SNM7yQh0bXIR264nEMWGrwdmVVRzNGs2fO8Xyoly/3e4hme0hmk8zfSbuzrFxuwjBHhQPJsEe9Ga6u1koAdxsts/G8Xoi/N3vbe9PtcGAcDc53c+c5PlncHPy+WWqT5fuLDCdkezGPacXCfU+ym6bIX3+rpUs1morIpNkRbKWUkm/zzqcU1TkoJKuxgZcTX9UOyHjGfltznGp67znFYXTaYdkNPDv50tkSpJ594pTHDgkvEmvfOkP8kj52n23c82l16b/fWCvEF2+/0N/xROe8EwAVhYlS/Gpz3yUyw4K8fjC4nnqTanLD0MHQ25TZuaCivLMRJp5xXFw9LkKd18yNwmRaAujTSWM63fbEhs/zTZ2bVAPRw2xIMeAqLmOjRMC3p5MeS+5q3ns9f9RBOLGdlu9GycldsV4OEq8fWC32NLZoZBDmgm67+xSqkvHGwEznvwdqS2tBJZ6MoQc5JQQm6zhnGZNB7QJRmRgIC/P51wnYFJ1KWscGmqb/E6C7DApx1EUwVpb5n81cImRa1x91TM5eEAy1UcfPgJAZv9eXvTC7wDg67fdTK0h+hHHDzGqPAZBXa7x8MMPsH+/6F3cyrCmnDSl0iS1tdse87leKDEYXD+Tpmo932NmZkr+zubYufcgAHfcciMAruuxdZuQUJ88eRonaVltTWqzelGD3eUpwoby7HAzPUTfPo8iJO9FpmLTz40xYNrpyNPf9oI80vO6oATzh/YIn9vle8psy8u6eGR+LdXZLX6DHfr5gqKqqiGUElRwNsbXtSzOwNmO3EcxK9+HLgxps4Fqq8UW5faaGi7hagYyjOS311x1Bcfv+SIAf/b1r/Ljvy9trOutDoFN8K3fXCbHhpk7KX+fr5/j+77vh2Sc+hzHRmf5jhe+TL5fmON9HxYa0zjKsrq0RnixeHCSrHNie9qVNAuN4yQLUVcnHNNjQky3mY6MVj/u4clJwTG2i2i1Nl0/bRxi7SNdTgfHy3XHl1zNmJTbqbtOenS5Bm2qx7hW4FXA3q2CeNqzPccVym10+MxK2oziRLXCtHIFrinSMJ+3XUc4Q9qMKPANJ9uyzpUT2+RCRpEbi2HMRFbG7uOwochlsyq25H//3i/1PK4KODKeE2eOsXPrhSHtJTZs27IXgKMPHufnf+6PAfidP3sHk8PDF+Ya31ASBE4XeZdyjcZdvzbhpcSYLuG7cRgalnU/aHdYUCRX1z0K6frQveterw46m7hsks+63F02HZv8LuEmTA6xmIQ3ybEp3MW4bur8HpiRd/7SHTm2ZWStu/fUckp0PjBYTLlsOzXRlUrgpMhrkzGpPkUZOKH6VFKem7xjGdXjF2zAFuXHyzmuoIiA+fOCyPitP3gHTl22SfPzy2x76mu4UHJ6bRGAbcMTnFgSZMTO8R2888N/DcCR4+eZmztHJwi+4Tn+02IRo2NNd8qjTo89iFM7Y3SObNxJbUyXMUn+o1rT/YLOQa1ex03QX47BJGsiYZf/KA67NivRW+OozwZSpZOgkYPumpeeK+hZEw02LdHwcLUp0v6d4jftmXK4QvncDp9aINDKmtgENHTMS7rOlQNS1DUZCNMNleFhbapWVHSU71jK6u8vxh1mlF8377g01F8azaoP7jopmXir0WTywHYA/vkzX+CH3/xTAGzffjmPJVfsED7c//u23+Jrdwm667f+6Fd47fe9ZdPvLt2+n9Orsr9rN85x1eXPAuC2uz+4ufHDBRTXcSmXiqwuL+MpD5bjmDQmsH/Pbr568+3yW10zHnjgfvbtkWYMC+fnMeqvOzZOfaZuNQ90SUV70F2bQM5Gqr4gbWyCjdPKCmNI0Yry3eY9gcn66R7aEqecmbjg5mRNvGzPDAB7Jnz2afXRg2dX0qoaO5pjqSrrUFUd7/GRLHVFMzYw2AF5Po2y4UhdfNpIc/XHqw18vb81G/P4bbJ/bPs5cGXfcdcdNwHw2l98J7SUM92NwB/kYooD/PGv/B0AP/W7v8nWWZm7e7/JMf/PAl3GmG3AvwCvs9Y+9O89rtlscu9995DP58hqt4rRme0sLcsCMDExycPHpBNEQkA3OTXD0nkpTQlaAZ7usqu1NmFbjGJGA0CuCxZRdNtD1iuGuLu5Sh32dGWO0w4NlrinFM3iaplWrJ5gTIfAanmJC15RPt+orXD1FUKI/tRhMehHVta4VwMaU/kCOXW4WkGJmpLm1ZU8f3s2S5CWRzqMKolh7MC4dk2oqgE9WalT0UVrMJ9lXV+8wEZMl7Szm77cxZzDxHbZKDY6ltxxLRObHmFIDfb0xE52bJdSn9XVJQDOry+QL8m9+36Ju26UTebiRpPv/j4pIVpZkJfR8zxCheDOr8yxuHRa7rPhyA1cJIktNAJLtlBibFxe5kajyaCSaa8td+h0FKqZlJDR2xXDUacMNpGcanmT65q0a6P8NqlTi0g7t1johUDrCUiduh74qrUhCYl9r4+X6KFxPWwPsOiSS6R04gXbxPg8uL7BfVaCMNP5Aq6Spk4WyqzWZZPaVJLCXZk8HSdxDh2GVY8DYylrIKIdyD0cqVRZUicu57ppSWM7ipjRgHSgG7ip8TxuXpx+t5Dl3CkhoH/a3t2cOisQ4kO7L0nv4eR5cbx+/jd+lssuEZj+Xfc8xMkHRc+Wlpex3CNPWDc0A+XRNGA9vXWah0+JfWhUumSkF0WMS9xppsEtG4eprhjTM/9pB0MHq0FDPB8nKY+OI0xqnrsdX9Kgl+N0NxJ+Lj2OXtLdTYTgSSAs6rFZvTtLXWyzTg8fsE27UhkHLjkgOvTcURnPQ+tN7p4XB3m2UCSjG8hL/BzLDTkuq523xiKXZkLEbw2DSTmisZS0YUW7Kd+frlZY0844I8Usa7o4t23MTFHJaHWMY4N+WlJWaYdph8ZiKUd+TGgfl1eWuPqqxwHwY28UZ+xDn/8oh78iOvPlW27j9MOiH60g5tIrxY698fVvAODN3/vm9DFd9vR97N67E4Ajx46m5OkXQ6y1RGGTOHYYn5Ry/JWlRZaWZFM4O7uVZIteKsncrK8usKANAvbs2cmJk/I+dYJON4Fjus57WlYY99iYKMJYDU6YEJxk3Uuaaph0wyE8wL36lBD59pZzd522ZGPgZA2XHZBypWdrqdex5Qp3OWKb9gwNktfglG0OcVrnOFHNGTdDVXXE4FLSd6FjLFl1/HVZ5MjqOquNpIw/QzMZjwnZO6TvqTq958/ex84dl8nxrQ4fff/bAHjBy76felPszdxCyBW7N3e06wAN1e8PfvjjvONtfyt/f/Dz/MN7JJCV09HvmZwGZD4rjUb6rFqVJmMD09SVaPzCinZpjTubK8q6rcK661eyuevd/NETAIeuHUujmHQ3ZMbpMS0GJ9EV43bXzd4Sth69SmxW3BuvT8qLsl37aawF7ZSIidi1W3yW12yVfx9ar3D3vLwn24oljJaEbcmUKegaYbXLa6bjpLGRVmAZVn+saWL8JIiu69x9GxVWtBw473qstOXvII7ZPSTvYKyBsD/8rZ/mZS99LQDZ0hDbLns6wIULcgHv+oM/T/9+9queTlbtYzGX4wnXPweAv/vzX3rMY799iR+xlto0yGQ2rUPdIFSaYLIxA9pVcK56DuP0+jq9acBH/EdPCRC2uz5tHkOPzqZfO91Ec6pPeg96WlPoBr0u2ydBuOcNi304ul7hvlgC6FsKJUraxXOoUueUbuYLqmMjmSyx2qNmEDOqFCABkNNARKQtz+6rdNe6ycECiy3xBSIDs0W1TWoz//Yvf52XvkISgK1sgcVjXwBgYs8z+Y/Ir/9fKdn/n2/9mfSzbcPdEu2d47KJvu/UEdZXxR7f+KUbeeD2OYJGiwsuBpKS6sQWOq5HRhOyrWYt1TO7aW57Esw9zQySwKqvQeggaONrYi0mTveFtcp66ttLub4c53kJkXycku8b2wVAeH6B2CYNK3RvkOs2YrEWMkX141yPA4dEl14xLuN5aL3CPXMaWCyVyBXk80K1RNwUe5KYYDcwaUlkpRUxPqh+t4lxs5t16f5alTU9frSYY1H1KsSyXRtMJXu6qbLL+A5JFJtsiauvkDVv8OwylZrsydbCCtOjU5um6hNf/RRWA3N33XuM+Tm53u/87jt44YteJ8/HEbs8OzzIX79NOltfctlBdm0TuzdUHicKTnMxJLaWoBPiZbIEOre+53LimOw9z8+fI6f+ZksDhV6+xIPaHGZwaIhaZR3Qzt76vJweSpg04dO7zpmepnPJd3KgfuB2g9826rFaPRGyxPZlTPe3ngteQkXhcc2V8p4+b1B05uhqhcNV0aVdQ4OUS/L54kaTakNBCrp2bSzVMe2c3oLLgJb7Ly9VKRa6CRuAh1fXWWuqD17Ic1gpk7yMw7MOyDyGOu6PvP1/87I3JjQzFzfIlciR89JU6sypU/zbDZ//lr+/aIEuY8z7gGcAY8aYs8CvgtBqWGv/CvhfwCjwl7rxCq21j7tY4+lLX/rSl770pS996Utf+tKXvvSlL33py39vuZhdF7/7W3z/RuCN/9HzGuPgZ/JMT03TVkLplZUNhocEudJqdcjnJUOctFlfi+bIaGbOdQcJFMYZBAHZgqKX0Oh3ZEmy3L3ErdbQbTsbR2lU16YElzGOlhJZ20wh9rlSESeXMAQmaIwc7oCcd3KItLXni7ZtI6eZgIV1GftYLp8SyRcKPofPCfnftmIBX4nlkhbXYWCpNWTsE/ksWuVDEMREmnV/2h6Bq779K0cY04xR7JBm2kazuZTEd0gzKmMZn8UTQq77vT/6Vu48IpmAkXKOz3/+3wA4fe4hyiVBQbW1r60TeRgtYXrVK7qoiInBPNu3CVR2aUGi0UtLC2kQfHJ0iLUNySqcPz3PxRRrLWEnpNNukN0iCJCF88tESnrpej50kpJMJaaM4y5pJnZzSesjsoaxNZug9IaE3JJuEiru6llPigDjyvO3UTPhs8d4Dl6SyWlq9suH0pQe7xtagfz92kNbGRqR7MpaTeZ0S6FESaP3ubzH109LieZs0cMZlqxPTsmqwyBiVdtdT+TyKbLOdiKU85sn7FZ9uukBBhTxFTndAoPRbI6aInImtFRh+4DLSkOyFGE7IDsi5JX33PoVnvOi702mhmW9Pz8r7/NrXvoG3vlPQhR9/73rZDpyb9ZCUd+bRk3u/dnPfg5nzwgSbHxilHvuuxuA1TN1cLSV9QUXA66Lm8kQKsumMU5POaKb/p2gYIzjpIi/nOswNCIZkYXl1TSDmDa2MB7dbLZJ78DNbGbHtilxb4Ke6Ml7G9sFiJkYT7PNcSvRu4jZ3Yq2arXTtgev3DNNuSz2YnlV5m5LuUSpoCWqOY+7VJe2l7N0tKzM1yWmGUSsK1JwKp/voko6oBXYXLdXslV//5UHGVF0mHFMChQZyWS7DREUrTqZ8djQ9ys0UNXmF0UDUUVKPrbvvIx/+tA/AXDTbQJbz3kOx0/dD8CRhxbwbZK5g05HUL5fv/NWAG6+6imcP3sSgOdf/wI++AkhAT75QJja+YsjljiMMK7LwnmBhueyOfbsF7RjFIe4mu33M/K8CuUR8vrsmu2QqVlBp505+cCjSjOEPD5BFtJF91iLjTVzb2wKnzM9ZWop9N52wO1m0x0tZSbsljZ6WkFVGvZTu/iq3ZMMDogdWt2Qa80USxQVsZzN+jysBMJbiz5Gy1c9RaNFETTbcj9lx+Do2LPWIaetwndvUUj/beuM5+VaJuMQ6W2MZLJYtRtjZbFNw+11ls5I9rcztI1//dRH5LlmHMZ3XgXA0fk1dm0VRFY51XP4mZ//fgC+etPDVDbk+SwurzCeL/BIueHLgsbYuWsPDzwka+sDdwU0ljsEF6M8CIPj+ljjpL4OPQ1PRDfUNkU9n/Ugs7qILdiE9AJBXaVg1Yhe1I1xtEzZ9mTAN123p9zf0/fQA+NtRku62TbZkQRJaHAcuY83HJhkSJv4LCzLu7ulNMCAZrdzOZ+bHxYEwf5yJkXF+4o06wQxG1VZl6eLeVw1kG4IriJPD2wXu3z41hUGFT3bcUjvedzPUQkE8bN1RvyIwajFFz4tbdDf9Gt/zWPJw+dOs3t222N+9++VYyviEz73+pdyy53S0OeJV7yGt7/zHd/Web+1uIrA6aJ+uyj0+DF8GnpQpQ7nFXEXRVFqW3qK7XuQWUEXNWqhq2hdlA29SMEU6UNKKm98g8k4PecQm7dtj/gQ20aH6FixG1d6AUND8vniis7pwCBFrfrIZj1uOy72eKLkUxwTdHpe6T+CTsS66tOwn8FJ4MedGKP6fVAbTD1w6ypjWm1hjU3N5lg2R0NLc/1kfVtZ48aPvx+A7/uV3+b8iZPy48Z5KAjy5oav3MoLnnwdj5QNXXB/57f+kM985tPAZkRXIsvNGp/6nOjsVZcf5OOf/jAAZx9uE8dRz5xeQLEW4lCoYlIb4xPpGuN6GeK0bDApiaarLLYXjdpF33TU7xwZGyVMiO1tTEPLtEoDA6yvyRpjI2msABB2En+r+/4Pj46woaVgjusQqw1Nmg7YOKS4RWyQ6wCejOcHL5lmZFj8s/NLYpt2DA5QVL+pkPe5+WFB8I7nHIYnRJcSHzwIYtZrcq0hz8NNdCmI8XXft327HPPgHWsMZ7p+U6jPajSbY1kRzcNKmTPhZVk+Joj2PU96AW1k7M948lN521//EQCT+65jo97R+5Nz/cB3fTcvet2zATh6pEZLm8M4jsvf/r2gmH/mx38WgN9529uZnJZ9+atf+kre+D+khP/oXceJExTvBRbHMRRyPrmcz4YiLYMgSOkcJidn+PqddwJSbQOCAkvmvNlqkfUTFG/AI2l3bRyTtOq55MAlHH4wKUbrKe03PW3s4qS0NSZxejO5DPmirE0b9XUy2mwiDLpO8eBWmdt90yWKOs+XFYaYHBefZl7Xuf1Tw+llR4by3HxM9jyTRZeZ8SEAxst5vVZAoP5xyTH4ic2MHAKtwJjQUu3W3ArTOsaWjXDUdg7l8hxelGu/+FmCS5odnmTh1s/Jda97Ff8R+eCXPgnAr//G37Ntq5TKfvwdv/Itj/uTv/gDAG746JdSyqhvJhevJqwvfelLX/rSl770pS996Utf+tKXvvSlL335/6L8P++6+B8WGxN3WqxXqmxoNH5sYookhlrZOE9OOTpWlyXaHHQ8xiYkshw3lhnTSOf8+TnasRIXJjxQ1mB8iaY7xiFupsysaVbZEKZZzwQJZRyprQUg8imPyjkef83jObsiUd+z5wTxEHUixnMSQb9i0KFuJEq7fXyQxYpkkBLy3LBjObRTUDOr9aZwrQBmNIefcHusJ0TFhq1KtHui0WTXoET6o0qL4QG53t/dKrXI1lo29FxtLJmkBW4IsWZHshoHzV76ZC6blSxlsTzOnm1yvT//k18np1Hh8bEigWZNPM2IxrWQoaKgNLZu28+RE5J53LtzjGOaEYvCFJfCtp3CfXP0xP1kFU3mmhylYXk+60vnuRhiHIMxHidPSN1v2Am0ZTFEnS7vhE2zh10OGmNsN5no96Cw0nPbbobcARsoOsJzhdQSPX1KZJn81gXVY6fj4Ba7H89skzk+c1z028aW2XGBTbhxi4T8fmq0jKcZxJISD7aDmP1KLLharZPRYPj4UIENnb/akowrk3HYkhOdP9VqsndUspCdjU6qT/9wm+hTFIes67vSwpJXdNdyGOBom9qiZtJurxcY0Wz9QGaIoCqfb9m2BRvKeD/95U/xvKc+XwanfF7Pec71hK68Hz/9479Go7ku9+w4rK/LcY+/6vFyb6trXHKptJ39wk0foVCQMdTr7S7B6MUQtU8pCtBxUy6ZOAzSaxsn4S0KMZkEgdOgeV7uzzEOKFLLyfRkLHo43gw92ewemiTzqGSZxWpjI8caXEVm2SikMCbna1eVi60DnmahBkom5bbYMl6mqTxJk5ohCjoxe2dEl5arXR6NfCGX6n9jWXTJ9w2ziqo51WqyZ0TmNFxvMzIo+vre2x4GhBuhrjwQzUaHDAlJp0OkCKS8Zm1vr7eY0GxTuxWR8RPER0y7Ibb9gaP3Uh4SPqitO8TG1IIGr3/tjwHwyY+8mU4CUIojKhX5jz07hZfwwx96Nx/6yHsBeN3rX8fWWXnXTj/QUHTgZtqjCyeG2LgUsz5BqCiSTswuvYeFlXUW588AUFFeCc+J2LlTUFxn586zpDYzWxyg3RTdMn5CfupjdQ3oJQLu5fyzYfBo8KPrgiKZCGKML3OVLXhkhmUuaovaajsKmRwcAmD3lAuKtpodG6SjD31MEabtIOTy3cIPM79aIbchYxgeyFPTjH5T9Smf9dimGccHK022atY8bkXJlPCh24/LZ3FMO8n4G0sCFFqpBlQ78nw6BXl+J0tbGdPGNa2NZZ5y3dPkuboeD94taMCpg5dx5KFb5Non5PidW/fxl7/7NwAMbtnB1KSse7WNgO94nSC9PvmP7wIE8zI+KRnmA7NbmVLb7ezdwR2rt3bRKxdUhLzdbkJl9CIhHLpQz6j72SYOpp41KjGhXpco0ugaJm3Xu98nnJGmh0A+xaM6DiivHmEHt6i/9RzKQ3KSWsVJj5ksy2+HCoYwFjs0PlwiVj9iZkjnrhOxe0ae68pGNUXTD5fztPXatWWx0b7nMK2ompP1BvsVVRusdRgalBv9l6+dlCH22KZ6OyKj9nitY3D1nVhaEJ1YGpzkhVds7z6+jqDTzz5wD1sufx4AG9Vl4Bsjur7zJ36av/1jQVicPr7IpXsmHvWbPaNig1/9mlfyW7/3vwH4+79+B4XC6Dc877cvFqMsLQmfjI17uPvoRe/1IPO0wYA1MUFH9cWGGEVROLre5HIFmnWx38b4XTVMG/vIcd2mUInO2tQ2mTASXjfAy8HkFkUkr4gNiUKLp00opvM+K1qJsH1qKEX4TWgTpk5k2T0jqM+VjWrqN00PF2jZhANH/LGM5zCjftOJVosBRe+01jqM6R7i4187BYg+VbWJQb0Z46uPGeZJX0cFWXAk9Jk8Jzp0++e+QBjI/ufmL3+FQ9dI0/orDu7lseTwYUEv//V730XBkTGM7r2SV7/yWQD81e8Ib9dYvsQWRSQe2nYZE+Nyz7csPIzreIQXwzal1I42hV5YExImKK64ByHTJT/uOdzi6rofx3FPAxYlo2/WiBXd5ToOh5Tn9dzceVz1Tb18PuXripQr2MvmU3LudhQyMiXv2cBAgaZyLJ8/K/Nhw4gRJQ0fGM6RUZs2NlLCqG2aUp85ii17ZuTdXKvUiNSeTA6WUfeXdbVNWc9hRpGEJ5otBpImZisBJUUC/eudiS7FtNW2NxoBRfXBKzYkVF7fhG7zLmeAq3YJKvn2mz7N0qqg37/y2Sr7D0jjnSMLS5RHZJxXXNFtAvXJfxT0TnZiIuV/KuQyrC7I+/rgQ7KPmhrfTrsjlQ1/+Fe/Q7MhdrFVbXKxQg/ZXJ5d+w7xwH13Eun8F4sFclrlFVtLPkVYy3zXazWmZ6WqJGjXWFwSLk4vm0n3wkZRvI7rECu31wPHHkzR7MYCOv/GRtikUVzCv+s6oLoW2IjhYeXEGh5naEKucXZuNbkLRooy3gNFQ6cg69F0qURekX4TJbmWYxwu0aqaerONqxO8bWqEWkfmfG010SWXMfX9D6/V2KPNWjJNhx2TQwB88u4TMm5ilE+fwEBRDd78Wp2cosK+dMvXAPgfv/Vn4M18gxn55vKqp70IgF+o/SF33PoF/fSbI7oimuzZKfPlkSOIm9/yOv/lAl2ZbIZtO7extLSU7vky2SyLC2JwLr30IJ6+4PcFYtwbzYhQFe+SQ1dycl4257EXk6D4E4gzjotJ4KEWhkbE0AdBC19LQhynwNDIEABzZyVgE0Zg1Zh4Q+CMyvmG4sNMDcq1nzIm8OLPH6/wlP2inMOOYaopCu7aNuP6ArRbMoZMzmV+WQIBQRRwRaLUtslQR5R+PhZjUjKZbtkgsGVEXujSaI4Tq7Jwz1dEKQYyLltzsjmoxjEDGuhqW1jTgEeoL/Hq6SNUXPns4+/7OyINpgXNJoUBeSEHRyZYXhNjuXPrPgC++OUvE7TkuM/f9E6uu1Ig1a/87h/h2isF/rpzpxx/9MQZTp+VeRma3sU9X1kHYGwsw9y5i1u+mDSJCjuJQ+Z2obW90Hw3q591ieQxFke75rjFLFY3bwlE3VqwOic2jNJAhY0jTNoJxqYdXZK6GhvHOOoUeqN5Bqdkrr/nskFyNZnDc1Myni+fbvOEHbIgZYOI00qQa4MWuYI4/kVfnnMrClleE31pd1o8fo8sdhtRg0JbdcCX65Z8Q7OZdA+BqUGZ991DOc5uyItzVs9V9l1mVS/qNqKk9xlkYCNxOLRkeOfMANMDMq615SVCLaVaWVgnl086xTzaoZoc38oVl0r50G/+4Vv5vf/5PjlvdY3775DF/qUvfCkAncgQNGQ+Ty1XOP31pEtmVqfzYjhsBhxfylpTJz/EaimcdXK4aQeypNzDwdWuY9bxiJOSMd+CScrHtEQz6pJ54zrpYuqYuBt4xU2JtdM7tA5Go19OziGj9ujxWxxKSWezbWIrHlqDJ24fAmDIWu6cFyh0JorIatfNpL6ijZVNJNDutHniXll86rZF0NRAhwb0ip5HvaHErY5hWsux84NZzm3I52c3RJcGfI8tuiFoYynqndTDmA19R6tKXjzk55jWQHit1mZVdb9a7zC+VTaZYScmp0G2D/7L3wOw/8AVlAfluN/8g5/kl378T+SZGTh7XBydHTukm0sjiHnJi6XD1Ts/8G7OPaDrQ5jpBh4vhhgHzy9gDBSUZLper3P3vVLqNjxYoloVsuAEmr84f46VNZ2TVou8lqePz0xz9IG75LxuMv6wu2FwDN1uQu3UsTMO3Y6eaflHmDrveJaCwumfdUWWIbWVzb2yttx+JuD5l8ua5bdiFrWzox+1yeu77qrdaEcx5xY39N5DDujGIluGRlVLnVXPc0BbGwFkfZdZXetyRJxdFdt0bkOuNZL3UZPGYNFnQBMXTQzrugmvqsNerM5TGpWg6M6paaa3iw7dcMMNzOyVdW392HH27NkhY7eis+/5p7/lXe+W9/Xnf/4H+f1fl6CWjVc5o2WviXzssx/n5de/BIA3/a+f4uGjmsWorVAuFQnrF0mnrMFxs8SRjHlT85TebnbpJtJ2g2LGS7v5knG73eqSzWjUQ7DrdomZjbFpZWsUW+noSbe8GiIcXWudoqE4JfbtmXuz5DSI0Y7lmDvPdHjirDjnk67P59QvcO0w40ngXIPxrThkeTXxm9o88xIJJnWcgPNV7S6qpnQg43Ztk+swopuI2XKGpaqM7cy6PLOhjMc2bdaz1goY0g12LYyoKFdEUhjqbyyzNieB6MX7b+aO2z4DSBe94teklH7Juvia1LtsV7cBSxMZ+9DQIm/4ASH6dQi541YpTTz5wJ08Ul7/P36ItRMytt2Tuzl7+vijfnPBxCZrWJwSXIskDUci3KREelODgWRt6nbQdHK5lAoiaRrQCoJuGZtju7pH3E1UxV63bKWnlDZZ60zBJzck33/fk0YotWTeV2ZFnz5/ssazdovf5DUCfE0AFBxDaUw2lw0t3aqHIStrso63OwFP3ivBoNDpUK+KbiTbhnLGpdbsrnWjSlw/PZBhSUuaz+laN5jxGFdi6WyrQ0mfQyOMWVWS8aKudT6V1Bf4tw++m617hBR6eX6Ol7/hh/T+h3gs2bFDNqJPe8Yk08XrAfiZn/oRfvIX/oc8i5tvBGDLzBD33fNlAH7kF17PuZP6vsYxo8NDLDUvQrc8LV3EcbpxLNdP7UbYIV1nu0HVsFsdjU27zeFEaTIs0a+YMPWJcvky99wvwIN9e3eyur4OwKWXX8Edt8m75arvEXZaFItDAIyMD7FYUZqPsTqXaFfOQO3RA3PwrP0ShB41Dp+ak1Jpzw4zrgEFZV2gGYUs6xodhG2ec0jWGOt0OLmhwAsNsJV9l1pSPohlRNfzqZKX6tKcgiMGM15qjwYcw7B2HVxqdGgnD1Y7QM7kHFwN6G0tlzh/5iQAGcfjiNqWH/6Z3+Jfv3gjAOfOih9YzJfZpaCRE2ePsnVYxl6PIj784X8B4Ofe+lYA3vPevyWjQec12+LrN8k+t91sY6OL03URGxF1GhTLJYKO+IJhJ+K4ks1v371fSnBBGmYA4xNTFIuyH3Fch2xBfKp8qciGJktT2qLIYpykSYQLnSTI0qUVsRZIE64tPT5OddgtGWqRPIsXXjrCKPKb9oj4O7cthzxjr/hM5TBiQ/cERRMzoX7OcOIzAUurMkbHhDz/UkmCZnOWB5bWAdKOw9kQTi+I3sU+TOm5JgYyLK6qbVT/ech3mVCgTCMImNU1sZaPiYdkz7h7rwTV//hXf5E3f580XcntfyJQfqyZ+abym7/xRt75p0IJsmXfE3nByyU5+Le/+6ZH/fb7f/Vn+fTHJLbTbsXd5krfRPqli33pS1/60pe+9KUvfelLX/rSl770pS99+W8h/+UQXWEYsrKyRDvo4Gn5X2gdNAHN0vIas7MSDW0rqatjmkSKJrn7/ttpOUoUnQNPUTpJFsA4fpodsu2YjbpkmI0LQcKanHGpKBmcyXYzoRltS50bK/PCvUMAlHJ5RvMSJa0o4dsLrhwhasoYGqElVshjfHaZxqBkksYVMpxxDMpxj7Vuitgyax3W6hLpHc0l5XJx2jp9ZqjIqqK4almoKbrlQFmirYM5n7pGegc8h4o+q3YHBrU0aU2zo7sKeY4dFThqHAasrsu9H9h/BQ2FgZ49f57xYcmaGiNZoMsOXcldR6TcY3lpnhe+XErRpke28Pu/LfDEtmb4z577M7Zou/mPvv+rBJp0DtqREkVeLLFYWhjXJ0E02KiTlmwIeXIPeTMamE8hrQ7esJZeRBGOnxA369mtIdZIfrjRSr8wroPRVtPGdXqO01KolsVVfRqZsHzHJfJsYq+A1VKvAQXYPO8Sj1DJ3RsxTCTZ+Y06VrPFw9MSnXeMm5YSdEInhTK3F5u0tJHBsJeUzUYECrfdNliisiH6tOFCVcntD5blvD4mLeko+y7VhNwxiPEVxr2ihJjP2LWP1pJkvHZsmcLJi66fWVhlUTPrk1t2s9SUexrPqz5W1piakQzS4In7mZyRa88yxenTkjn/yEe+CsDjrh3jM7d/EID6eYttJ5lkB9tbSnFBxeC6ihjTElaisIucsAE21sy1kxDNRym6wdoQ/ISY2RX0GaT6b1wnRZ7aToib7xJdmijRqy6BtKMZ6rgV4uhvB8ZDnrdPdKlcKDBR0Iy1Jqa2DBkinae6NTxjQsp/OvPn8TTjNDImGT2BScs1wo5P0v2itdwAtR3DStAbhhGh6vj2wQIba3KNdc+mtulgSWxTOevT1mdScKGhGOpWDAOa8T+3JnZjZsASx4IoGiplUxRBxsszp8jHsa0zKXx7elJQZwf3HqLeFNvejCJKU2J364vV9N1/y0/+HACvf/3Lmd+QDFJr3cUkROyOJY4vDqkqSEmGQ0RsXRobgpYtFAfZpki12MaUSusAXH6FEHne0emQ1+zkmXOnKWnWLpNzcLUEwirawMtk6XSS7LfbJZh3M5DwhwddNIWbNC5og1fW8uiZDs/YJettNpNnqqhlXQpGHBtw6GwohYCFyzQjXd6okJmQ997VdbwdtCgNaoOU0CenyLOF1SqZ5HzaMj6OI9Z1vFuGitQVYbpmYmraQOOgokanBwsst0TfMhjWtIyl3rIMDGi5QVHm/znPfCbH775D7idrCJbErpRKA8zXROfKhQpDIzvkfL7YoF9+6/N41wf+Qs5bO8/WXaJnp04skNPs7vWvfDUAP/OTP8KxVSG8r611ePBuWVttDGHQTkmYL6hYsSM2CjcTd6fIKkMX1ZWgI/zu3ybCUeJ+kzFpGb9tJ8hUAwna1LpdcKCJUxJ744Tgiu4Na7t713qs1YTSoDCR4zl7xLZMlkpslUfLetpIxRKr7rat5XotJVs+t4BRv2hG0QZDxqSZ3jjyiRQJenYxwFfIVV7LaG0cE2qJ277hIkFVrlFxImo1Oe+BktiYjHFwdA2fGsgxvy66XWvHlPQ3DURHD8xOMD8viP+Pvf8vmNTGEHv2X87TNWP93o//HbPTszxSQnXNs4UyZyuCpnjglpsJtMzthi/cBsCu/VN86BNvA2Awu5WOlvbn8nkuvewKAL5+y4cedf5vWwziy1gnfc7WdsnhDdIwArpl0NgQV0sUYxviFOS9NxkXq3YoQcITWxzUqY8dUJQNcQRRU39rU5qRpHw6DkISwFd+1PLSA7JmhUGOkiKnQkXIPH9PiUjnL3ZctqjOVs4s4A+J8g0Pyfo3YrpoozjyCBW5P7/SxtN3YFQpCIgtka51e4dLtBUVuG4iqqpPe1VXRvIZYj3xzGCWM4qsaHWgoGiYs4ok2zk2xOSE3M/GRoXl01JmNDCxGxjkm8nCqiDe1yoV7vzaR+SZOQ5/8OvS3OdDH5VmLVfty3JGqVZK+W3Y1goAg0NF1lbWCKOL4TsZMA7W9pRKG4gSmgc3xCbXdZOmMV1Evo1d3MTX2dQQSv15Y9PjOmGHKJa14MjRI6l5u+/IPbzie14HwGc+83G5hinT0gYT63aB5z9OEFvTAwPMFJOySLnYvmFDqItexzdcOyq/ve34Ao8X8B/bdL0bMibpB0McenS0s9PcSoCve8Si6ru1llApcQ6ODNFRW7hKREPXuX2qS2Xfw6ou5X2HSrLOBSEjg4L0XG3LhUdjS1uR+SEwonZ52yXXsDEg9uiXf/Pn+PG3/CoAp88KOvRjH/swP/1G6SH3kY++l6FxseMbK21iPd/P/Iwgup72rGtwcqK7X37vjcydEp/fGH9zOfMFlGazxeH77sP1PGJdd1qtNjt3CdLp5IkHufSQUJqcXxDb7PoeZ87KOu94DoFWZkVhA1dL5eNmUvpFtymPNViNHxg3A9rAzMllsaHogqt7w7BpyWrZ6dBEwPMVETo2MMRMQe2D+sFjY4a62oGm73JQdbu9sESo++0B9fEyvsUb0MYF7TDdK5w5v45bT/ZjGb2fEJOTd2o273PmpPi/cd4hqMtxB9QH961Du63lvgYeXpbflspFPPWD7rhfUHKX7drHzV++EYBn7n/uN5qabyqd1hqHHxafaGJ8nE/dIHu3z3+XUEfs2d5i28iVADx4eIkt5SEZz4zLmVPfmtLov1ygK4pCVtfXKBRKjI7KYrR/3y4ePqb11WGTVkOgh7NaB50r5Dm5KMY7zjpkdSMfd2xa4u8rTjZqxfIiAqaYIw6SsrNWCqv2hjyu2ioL4KAvCn1svsIWdbwmhzPMaQnGcmWeKe3gsmtUDJKJQ6JQlHB6eJhxhVRXvZAJheAm8Pr8WIGVprxAY9kcy+sCPZxfa7KqwanZXD59PskmplDO46vzdmhmmPc9rNxcGqzbaMOY8gjkjJOWOTkFj6LV+1Reo3Lk8sRXSBPNU8ce5LOfuQGAsL7OnJbOjIyOM6xQx6FxKdF829/8GTWF1Z4/u8bMuEAd77jlJn7ozW+ROdA66cufOMzShji8sRNSUQjv2Og4Vg1obeNilDA6GKeAjao9Bsz2VCRFEoCA7uJkY9yCzKVb8nFUd/xid5FtKs9VbsKnvaKOfjZDCqJ0YoxC0otbM1w+I8GHpJTszFqbbbPivOwczXDslEBdl9bnGVco/NYhWbzCdivVp9mxEca0BNFEASMKT66pPhUHfFYborMjmSzLa6KnZ1dqrGu3zVldZOvtKIV8loYcXK3TPjQ9zPu/LO9TUu4ZOg5DCpXOGRejwZ3p0RyxOoJFLQlaPnoPRkvJDhy8mp27pIvn/D/9A3suEV6k2fKjuUjyAwXGkPfui5/9IttnhWvh1pu/wu/+9m8B8I/vk3LGf/3SP+JraRRZH0dLZuIwxHUzRJ2Lw4MTxyGOl+leL45TXhLoljfT0xkx6VRnjIfVdy8Om1hPFxotbcRkuuUcvosl6YjjpNBqbyDDVTtEbwayYjdOLbaYmR4CYGIQzi9J0OTwmUW2qA5t1VLCqB2lSYFtkyNcapQTMOcwrgH3+9u6Och5VNQ2DXoZVipim86u1lO+t1k/0aUwdU7zgw6udsG9ZHqYf7pJed5UlzYsTCqvSd54rGm303LWJa9lZ9ND8n0x57He0iB9M6Cspbqj5QJL+qjOnjtHSflqWloSZP0mGU+eySf+9ePELS0f87JkXLm/jXWxbWdWH+DE3AmdAq+HT89JuYYeSWN1ocRaQ744QFZNvOv5rKyKnczm85SV/+pjH/0wADNbd3H05F0ABH5AVecqWGri5BM+MQ1OtkJyutnMuIaNauLMhWkALzda4rJt8uxGNPB+7NwaW7fKZ7sm85w6I7ZpubLMjHZS3Doiz7PTionU+do2McxeV3XaGg6W5Xz36pqXKedY0RLFIT/DspbFnlqpUtWkzDYN3K/WAjLq1BeNA8rTNlvMc+SkOLBZ1bdmHLFNuXZKWZ/llti/qZEMQ2rrkhKL+2+6kdK0BBLzwzPcf/fXARjMlqhoIKdQKHD3PcLR9QOvfAMA7/j4u7hEuU3+4E9+h2NHxfmynZiOlkXeerskfdrxazh5Wt6rarvOtddISf/tt91KPl+k0b5IZR2OIxuMpAtwHJIS+vVytCUSh6DdTY0bd4NXNsL0lpUBeF6XlySOujynmQxWg/ADI2X2qREZG5L5fHihzcED8rxHiw5rFclwHZ9bZm5I1tgtw6L8Udum3dN2jA1wUDcZZ23MjBKzrWnCJ1/OslqTeS64HuvqT5xda1BJzqFr0FojwNdSzMKIg6vlPddtneA9nxfnO9HhlrFsUcqHnOuRGZTj1lshg5rQKY1I4DesNFjTdy2XLXD4HilXzGSOMXrlEwH4npe8gUdLSBm950aZw8pd0mzY9Lm/+ackCP8TP/l8CsOyJs6vH2bfdllLa7UmpfLwY5z7QonBGBdMRLdMVcYOEoiIe7t0yhGp6TS+lyaA3ILbrftLStNcj1j5TG1oSatTYgeyarMKHa7cKmvdcF706fSGZUz1ZXbQY2FB1rrlyjLzutnfovQgnWZMpDq7ZaLEPl3rAt8yqUR+5wPRIaeYYb0u61DedPV0bq2R2qZpzbZX22GqTznHwdGE5lXTI3zgS7LWJfyEK9ayR4O+WeOyrmMYLLjk1PsKdD/iNjvc+YDwWA4UijRbYh/LS+t85saPAvCcZ7yM40ti/zqBdmab3c+tt4rtqa5FrGrXtKWFBW68UezYO/5e/KZnXj/GunYXHJ+d5tQ98nenHVEsFOg0LkIRkJGgm7Vx2inaRkEaDJFAqdqptIudwXha+poxxClHW4ynFAsJD2rYAKs2uBVXup2Bje0mEbOG00e+BMB1l8h8nFpuMz4s69zESJZqRZ7bmYXTzCgYYKt2NY/bpD74tokhrtDEaidv2KKd55fUNpUGs2xoUCxjHdaret7VGhVN6m1X27TeCEkavGetwcnK/V8xOcyHviwJko5et2phmwZC8sZhUf24iXyerPq7s+pK1ucXObku78b22RlOnROf4tjR4+QeL7xJv/nLv0fiuf7zx74ojzfvcFT16x1/81dsaEDGOH6axP/qLVL6+uJXX8XxM0ID0eq08bykJJSLRvkQRxG1WpVcPkdGfYUwG/LWt4q9/Mott/PFLwjHWEfpF7ZNDrPSER8msG18DYi7fpR2PI/9BAThE2lJsWkFkNU9Bhajf+en8hwoyzwUjdiJs2sxExPy2e7JSRZW5POjc2vMJKXympSkHePo3nB8YIBJNaCBa9htRVfmO6IHTjZLRf1fJ7RUVZdOLVVZU/7V/UmQs9ompwH40eEiYVbOOz6Y41PHJRCe1/tsxyFTqkuuhTU13CXfJ6u+YZIo+tqXPs/jnywcgR8OF+11AAEAAElEQVT4nR/Fy8r7Uw9dXvfW33rsiXqEfOLf7qDoyfWq6yv42qr7n94vSZqnP6/M37//zQC89vX/i3f/oVCQdFotDh4QipF7bj/8Dc/fL13sS1/60pe+9KUvfelLX/rSl770pS996ct/C/kvh+gCA9alUa8zOKAQ81o9zUAHsaGj5UGeL5HXc+ePEyfZATciaQxjQ5uSVSZICcd3CLTjihMZHI1axo6P1QxxNufhK1F0Q6GtK57ludo9ab3eYFCzfvNrlRQpFClxZhh0mFZi78GSz9GqEtZFMZ6iP8a0q8fCesykRofr7YANJXdvmIgTGr0d0EySn3XwxyQancu4aHCWU8tVxpQwvaKlYTiWhD62EcbECjkvOh4jioRJys/yozMcOSzR0qgd8tb/9bsA/PHv/w679j1Orjc2iw1lzKuLEvEP2i2yms2q1peoNAV2HeExMCSor0u1A8r7//kDnDpxEhCUcaSZjfmFdg/R6EUQYwV95GQQaj/JBMUawU7gz9BF4ziZHFbLtJyMxc30ZC4VlZLR+xaicM022Q5p9tP3cRQhmMn4xHWFSGsHiYWww9PzAiFeX2mRUaWttQJGSzLHgWax2mHIlOrIUCnDopZkNSotRksy/nIo6JTlWoExRcvUm+20S8tGFPGwZr1HxrULIDFDY6LHxZyP1TrHMysVxkrym41aUqIYEuoz2eiEBPpIJjNZRhXlcXxxXcYyvIusr2WQqxvs/76XA7D93gc4fViy3gtTW7l6h2SnP/gFgbGWByaoVCTzcvV113L2iJivr91xO54iM774yfcD8J3f91N84J+lU14+lyHhTu7EGaKwOw8XVqTrVByG2FDuD2s16w04XpqxjvU9dzwvrRiyJk47ceLGZLWDXRxqFjOMSdJ7xjrdrFgYp40N/KzFQea/2pZrreQ6PGtI3/+gw1BOkBJzq1Vinf+WDiKKI6YV5TVYynJ4RbLGbq0Dmk2ccMVenQuyKYqv0Q5o6fxXwpCH1TaNTMh1W55lcFgRpBknzbaeXq4yoRnYjZrce4xNqp2oBWFqmwquR0Hvv9qW57dU66RJtXYrxMsnZaIuBX2uhfEd7NghZUNnzkpG/OGTxyj48s489znXc+tN79bn6tIJE4JjeQ7/8g93p886jrrQdRtH3bKciyDGGHw/g+flcHV+rr3uidx6+23pb5KuWKGufxMzo6zWBIbfiRspSW+hNJiOu2Xl/jrNgHa7op/ZNHvpFHIpUs0vWTxHS+81c1gtWQ7o+lXd6FDUkp2zwRpWkSht1fNOGDKpGcty3uOBddFNt9lmWM8xldFGKeSY0tLGeqtDU9EWK60OJ7XUf3hSrtXJOQwoCrGQ81NkDZFhUu1jgipthRGRom7X6iFZRUAP5nOMqQ1eUH11y2Uac2flXM06z3jxywC45+4HCKxc78GHjvCiF0oZ4oPL8qzLxRGKiuh55ctezO03/6WMs9XCdUSPmhWZw198659xbk5KgjK4oCXKrVoVP5PvNia5kGLkeVjTpWZgU9MMIRYXSUoXLSZd8xxBeAGOb9Ky6LCuJUOdkLRmzJgUNOZ4htT45gx+RuxJAh4MhnJcpujM5WZAzkvIyKO0kLKVjCqKmRkWBE+5mOeorgW1IGZ6SMYx5sg6uhHAkCKQ662ubapFMUcVmTGipbyB75AbTOgfbLrOn1rYYEZLW2taulJrhZxe1OY/2QwVReYMl/L4CjvaWJFxTW3dxoB2Bm02mhy8QkoJHzp2ir/8fSkJuvLJ1/PMZwqCYu900rnKI1Bf5DnPfQpv+5P36Ofd0sCzZwTN8Sd/+FGuvebp8pyOxex7lSCiv/DpT/H1W7/CRRVjEX88IaA3abOUOI7pKleiT6QIQJN1cPMJiivCVfJtR5FUYcek+hS3I9yi+umBxWTkfKWJPERivxod+X6JJk8qyPtWa3QoKa3H2ZVKqt26MtOJYmYUNThcKnBK9aleaZPXaogxRfeuBDCgtAGtoJP6N/U45riS0Y9omX9oHbLa3cxzXKzSopxfazA7KDZkrZo0mjG0FG0Uu4aMNtIq5jIM6d8JcX0IaRl0vdZk9z6pkDhw6XVctlvKsb56371JwSfXXnoZAG/82R/m6c94KgC/9gu/zDvfJcilVrXGxz/+MRmPNm547z+v4yv6p9WYw+heyo8j6UJ/MWwTqjsmk9psaz0SH83aGEe7zcVadYDrdQnqM7nUThknpDQtn1dO61htp4sYdLtbXuP7WCPa4JWy5PLynOvq+y+YJtdPSRXCSqOFr8i6VrsC5S4ZOMh+ZUaRM6Wix/mWjLPVaDOYl+NGjZajdVyK6sc0g5C2Il5rnYij1c22qenFDGq3xhiItSnYykaDWfWr1+uKaA/jtPtsJQjT8nIPhxFF5i6q3nmFIgroYWFhnaTAIVcss3pOfKR//PD7OLRfbNY1V1wNwM23fIX3vfftALzph97EW27/P/IsjcO2rdIcYVX3Eb/403+Dq2Vz1159HaUdCwAcPXIq9TUujjjidqtvlsn4PPSQIHPjsJGqwIju17PlApESvrt5n1xZbZFxk34GtJXYvrVRxaLzYTo4SYdXL4+N9Nk6FicQu5Ggw4KxFjsVlp+NMgwpOn65Uk/3VQk/fycKmVW7ND6U44ySzXcaIRM6p6VA/Kh2MEQxQa4T0ky6UxNzQrtsJ/51nQhP9apczLJuRG9arZDtqkuBnn+t1qahsYZsxkOra1nf6DA7oHbp5EkArFfg3rvukvs1LvtVV6Ym//1df3/yR36A1372ZwA4uG8/KzW54L/d8HkADt81zT33yTP96sd/kR98g5LV//U7OKMlsd9M+oiuvvSlL33pS1/60pe+9KUvfelLX/rSl778t5D/goguFetQ05r5jfWNlMcmbKxQrSoKSyP+nTjEVZSS9UPilnIDOBl++sWPl+MCyQx9dW6Ns6clcrgc1vAL8tuJYo7Li8JB1ewE1JXobyanZNxOg/vPS3Z319AQk1q7vWNkO20lgAs1M7MRBsRKtv7wYo0nbBGkUy3fYiUlcZWI93K7xYpm0u84MY8m41mtd5hQfpXzGm2+cus4o5oF2zo6zLrW6C7Mr5GAjkpanx67htWGnNfzPVpKbBhYh5xm4lz9995bvoRRAuRdo6N8+nPSJvu6pz2HL90ttf/byjmuvVo4Sr7wRcmI79mzh4ePdol23/MeyUz+8A//MLdptnH3jq0AjI0Ms3ReOLg6bVJeLGwd4qQO+mKIAVwyuQE6baknj22MSUL5NkqzTAkiwrjdttZxxyNWdJ9X8njd9QcBaCgPyNGFKguD8v3Z1RVKSiS/a7bIPl8RgJUqdc1UjWdEn/Jug8PnJFK9vTzATs3qbBvcSjsr48koP1Kn4LCkyMLTR+s8fotE0seGyyxotD9Wbpy5jQqn1+Q+7jyzSFMz0pV2yKS2TT+naKRdUwPs1s+mh8rUNCu+OL9KNqnZVn0KraWm53I8FzfSrFo7wtdsya4RyVIsLa8wePU1AJTHpkDJe7/zR/4PTSR7kafEkpUs4zHll3vxi67medcIOeG/3PRJPvth4aWoVNYp5jbryGu/57u4+avCFdAJI87PL+o3ygdyUUCC0trcyeQItXEBPW2wheRNbY/Wo5usTdFYWIgV0eWXXa46KPNYVCL5+XVo1uT4+UaTYUk2MpwtcLUSb9dqNaoJ11pe0Xi1BkcW5d3aOTDIpGaZZgZmWdOsjqtchFHB41xT5uDkkSrXqW1qulnuT4BpSrp5ZqNJJk50aYG28l1U2iHjRbm/cx2Z+51jg+xSezU1XKaumaeF+VU0QU9ZM58RlpYiOo3xcOMEddvlo8jpu9gIAs4GMp7ZYoG5ReGaGBr2mTogiMAjpx7mltuEM+ngJZfIGOtrPPNZQpy5Y/tOfv1X3yXXsGG3fX3anKKbxTY4kPCo2RC3B/F5wcUYPN/l0ksPsLQg8zc6NsLEhKBhXTemoxx8V1wh79MdX/sSkfIueUU/XUcuPXSAbEdQuZ6TZHdjajXJ8B1fnWdkQt6hmaES+40gxdY36tR0rZvSta7ktHhwQd6nbaUy25RkdWb/LBtJhlx7qQcFh4WONhw53uRa5bGM8xH3tBQ1q/bz2FqFkrokd55ZoqH2ZCMImSqK7TjdkrV55/gAe5RDYmyglOrT8tIaE4pejvW9qrQCIl1PXD+TZreJLTXtwmAV/biwscR3vOnH5bjTD3HHnXcB0KZMaULG8OZXvZRPfV54PhqKiDv68ENsrMkcnTtzEoySqpkgbTYxOiQv7Pmzy7QVxRF0GmzZJnyEszPbOHX8GLX2xck/WgStnPL8xd3GFYI6TUjq5fm5xQx4yQ8ijBIW54YMVx8QZFVWUZFzay2aTZ3PUYeyIiuzcYbdkTyLoN2mpuiFUc30F5otHlqWd3ZneZCtQ2LH9o3mWI3ESUrsTZB3OFUXJNzJ5TWundaM8bDLCdtFUAM8uLjCoCKs7jy7REPtxkY7ZCpZ59Rvmh0ucOmo3M9YKU9Nn8/5uVVcRUiUdX1pdeIU1RIYUgTFyPAI1TXRhUBb0q8uLHHZS14iz75e58EzQiq/sNHkkmvlfb3h0+9NuS/r1z5BnsP2Xdx2m+jXysocvmbbw2oToygfR5FKB/cdZEAz9j/9Mz/HB94viObp7Qc5e36ViycWmzTsSRo5GacHkUPKG5nyUebzGOXSc3oQXY4fc+VemfcdY2JjzjYi1jfkuMX2OjtG5f3ttB0OevLbarVBPZJ3eVKbVHghPKz6NFsYYFbnbXrvNDUlrM+qLrQLcLalPIwPV7lmWjnNhlyOq3+T03t8YHGZQUX03HV2OfWbNoKu3zSn+jQzUuRAWREZ5QJV1afV8+t46kMNKLIik/GIFS7RiGJGCtp4p9GiHal/riiLThCRmxHUX66+wT0Pim89tvNqphRNM7W1O0PH5oVH9UXPfyEvv/470s87lWkA3v5372R0VNb3jL537doGQU05MYt5KquK+I0tvpu9aMUVrpNwRyaIbJvaTWPcLt9bUo5jbBfRbgFPxuwWfPK6Z7vi6XJvS5UQBeux1AwoDMt5x8suVxekaiJoNqmrzz6qKN8BA8cWBYW0tTTAtPqvu0ezLMWypiUE5HHB5Yxypp0+UuPxs3JtfyjHWZMgq2Se7zl1jgltQHb3ue46t9buMFUUXTqt3JpbRsoc1LmZKBeo6mNYnF8jo3oxmOxt6dr22HFSZJ6xhkDXm0FFBM6tbbCmPuPeEQd9JVhuQ9gWu3vLzZ/i1ttvlLEravsZT3s2FeUIvfOeO3C0eYS1cPqM+OnbdwmqtFpdIdKqoFtv/jKerzyoxuC4ygnLBRYj/3McQ6sl91EoFHn/+6XZQhC02LtXkJB19SUePHEUJykL8GF4RJ6RjepcOaXk7ePy3h1e67Bc0YYA9Srb1T8uuS6zDfltvVojUN0cV592sOUzV5F36fLBPJPKs7ylPENd0Yi+2oZ2weF0U3Tp5HKVJ24Vv6GZyXGkqTZMG7XcffoMs8pZ+LVTi9TUj19pBsyoDTqh97l9fJB96oPPlEqUtMHD8uIaWfVjA/WlXZyUy3W1EaY82Qf3buPosZNyvu0SE5jefYgP/KsgQ59x1aUsrcgafdmT/v3E9LmsYWaLPOPZLTMc+ZLEFebOik+1troORvTnGU++koo2xLv8yut48P6vyW8WznzD8/8XDHQJCaZxHbJaKjA0WGRVyd2iMGJpWaFs2q3iumc+l9vuF8chWjMkzJZ7LymwVSHKE1rnd2erzdZBUeSnTk+lZRDBRoO2lhgQGDbUGU0WoVxs0MZlnF2uMK8GIJ/1KOiCX9HAUzsOefw2MbBHzixwakUJH6OYWB2FqaKMsVmN0nK4ILQMK8FeyzWEWh9waJtsHg5Nl/GUrHGj3aKmnahsZMnoGBqq3HEYEyo0sd0O0aGRc1yaCiu1CdzXwIkH7gOg+Pgn8dDt98r3cZMnPllg889+7ks5fUoWhQcelAX25MlTeArt9LNZvu9NEgi788vz5HV/uOeQkNg9/ODD3W5xTtTt5BPRhRtfhEYdruNQKpeobKyC1a45NNMSMaBL3pt85Lu42aQjjMGoobl0X5mdemNPdMVg/N5SQHFY5vT6yw/gqZPs1zvUdCHKZbO0Y91c6Pf52KGphITzaxUWqo7+1qOozu6aBjQ6NuLKGTG4R9sbzCl02M+4aTfRadWnsB7R1g5k9VZISUtFOq5DVY3olbNDAOwZLzGqBJLr7YC61psEQUxWS4HqGgTwepiM16ttsgkEH5t2lFzUbn5Tk2N01oQIc993/GAaNC56GfKU0vOMG1mI3/zGXwTg9ru+xG/85k8DcNnl11Eal+DFlY+/jl/+VSmn/bGf+DUZw/IZ3vCG7wHg/geOcH5eFmdik5Z/XHAxiW2JcDNilKNgnXQDaaMu1FlVzbgmDaQ4mQyZsrzL+TGfAdWl790iz+T9wQYtLe14xsERiqqD+WbMelPe5cFCjlYkJ3e09CsbQtMTHTy3UuG82qZczqeg81hRu9C2AdfqwvpwWGVeofStICLSspPZkupMJaSthqPRjijp5rXjGuoaOLh8ZgiAXZNFxrQJyEanTUN1qRNasmqbmupt+Y6TdmpbrDVTgtrJbD597yp6v/mMx5AG28YOXoGvnWZiz+EhDZDu2LWHs2ckMLO8KjozNjLO5z8vTTXW15o894VCaHnjZ8/R0nObNBraQ4ZLTNKS0HG8i1pVnc8XuPSya1hcXOfkCVnTXDfH9q3S3fahhw4TufKc588o+bnr4WqQwXV9fCXWts56Wob/hJwc87VOgQ11zp/9pN1pebSpRKxqB9bJjMeQlp65OieZyGJVn85vVFnUYHou17VN6xqojE3IpRqQOBFUU9uUyTh0NOE021Hi8mpMVdvtVpodBtW57hjY0NKxy9TO7ZwoMqXdWNebARvrEiyzlpSkfrWVbBTB07WsUg9YU0d1+1SJrHaVjVWH9kyOcvMNQsz8k7//IT72yY8AMDI+yf0Pyxq4uNLgVS+RzlNOTu4zjAy33CwlH62gzpOfLmO746tQXxedXFpYR6RDVjc6YRSnljOXyzIyOkardoILLtZCFGAjB5LyI8dKLS6Iiut6k9gmnG7ZtZM16btXKFtQ23LNiD7jVoFIm2fMDg0wWNANUDUm6CRrhE9L/RNPX5yGhZa+Z3NrG8wnDSvyGQpJoFJLJq0Tc4kGI07PV5nXkrF2GCcc1WzRwIdfj6iq015rhZR1gxcYS0UTfJdMJQ0VipTVD6xEAW2ld4htnHb+3FD7WPQ9atrhcbXSpNlJSu5csloLNDKp5PoFh9s+K2X3z3rNj/CW1//8o6blLW989GcAz1FCaAt89cs3AvCRjx2mo2VKgW6K5s6vEegY6o3Poa8dv/Y/f4E3vFHIe08cecxLfNviOFLek9A8WLrNeMCCoyTJurnCGIyWvDp5S6RdlQ/sH2RvXgP2sSQbg3CQohaGPXPfDLpM4W+0WdVnUMpmUn1ydA3NRZaGlkHOr2+wqPOXy2dIKiVX0tJdyyWzXX1a0IY9QRQTJmud+mV+I6bSFttVa3dSfeq4UNUytYOTsk7vHC8wqsGHeiekVpH7aLQismqbmjrejWo7bf5S7UToPpWhok8p6VCpz3fXYJ6VupbFXnYNByYluOXnfdi0Vonsmd6X/vvgOWmq8a+f+TS333kTAA+db1GYE5/dKHl6iRwbGrypNdvdxivWEEYd7EXJEDrEJgc27p7fttNmBThSkgiqY4DxfNCkoLUWo/QOXtGhoDr2LI2D3xb42En5bOvkCCsdmcepKE+ogXc3l6EV6zqk73oltLR0nVtYr7JYTdY5n4KuiUmn8Y7pcGhWfLe5+Rrn1W/qhJaOlqZtt6ITAx2XWk1BD40OQ7qPDVxDTf2mQ9olfedkkSENlqy1A6pKq1Nvd7rNVnR/6DombVp5br0uzSKAiXIOR21TRgMwlw8OcEaBIpXCIKc1OF/IZmnX5e8tO/dR1+uNT8m9ff4LH6elJXGtZovnvlB07Atfmqetvz1z+rieq0yjoc1/4oCmNgfBgk39qQsvBkuz0WRQO6Z++APv4y0/87MAPPTQETbqsvdY2BCfsDg4QLWhyJMWVDX5tXUiQ1ZtyVVKy7/UgRGd+6ld25gsi961ViPWdN9cymboJNQPuk4GlXbarGBueT3tAprNeZR0f7QRJ/QhIbumhgBY7DR4eEniAxnPoa37uT2++A8jnQxV1aX1ZleXOllDRQPol2p3+j1Teaa0w/Va0GZjQ+ZjYa1J0sTU1wYvWa9DqONdqbc5dEgoiryBPLMzMp7FJe12aC1Pe6KURr/pF34NcmPpXDT1ueXTgurHlpXVClc+Qa79jr/6MOWSJP9+5sd/FIA7v34vX7hRgAtf/fppLt0rY1tfXWTrtp1yTwt3fcPz90sX+9KXvvSlL33pS1/60pe+9KUvfelLX/ry30L+6yG6rMV2Okxu2UGrLRHkU6dO42vkdWRkmPOLEql83JOeAcDp5ZNMa5bt7MbpNDtw5swG01cpCa22u3/GwWne8wUp8Vip1hhR4u4d42XGFCFWyDjMK7y3pRmG0eEcyxsS6W7bkHEtTbKRIdBIbUYz4gXj8bX7lcTW9Vi1Mt5WJ2LQ70ZkAWwl4GRbzusZL0VkPWnnJL4iM+qKYhgv+ESa4VpvBqyuSzTdcQxtzeKWtWzDs5AbVDRHaOkoWK1S7+Bo1UVex1I3Hear8sx2hwPEjkR0IxPzldukPfHqakQ2J79/2YsFSfMb//fn0sx1p93BUSTEwWsOsD6vyCVFGTgeeBrZ7nQibJSguOqQEFBeBImjmEalisFgk1KlOJuW/LhuTDEhSI4SYl43heAb18VThMTp5Q127JDMR6CR8ace2M67P38PAOdXK4wrafxMOcdIUr7hu9ynZQ++RvoHy1mimmQW2jZiStEwcQRNRUAlrWCLxuXoGZkTP4LVlqIbDAwrKqKtqLhovc0JLXPM+j51jdpfOzvazZrqc5jIZclq9mKt0mZVCUsx0FFddhUdNVPOsaGZbr9QZL0qY5+Z3kqnKlnI8vCQPJuBMcLSFgD27DzEPdqE4Etf/miahfqx170lnaMh/fc5Vz6Ng78vGaQvfulTDA09C4C3H/kwQ8OC2a9VpGzWxjFv/9t3ynCNi+NKtnVgZJh6dZ2weRFi/FaaWhjHpGWujlciDvU9dL004+YkmUnApOjAGEIlDF9qcHC/ZKTKWhrxlAPDfOBLgipZqdSZVjLu8UKWSSXYLkSGexXWm1X02PBQDqvNDgITMaZ6F3csLc0G5vW3A8bj2GnRRSewLGkWrtEJGVTi+ab+Nqq2OaWkm7lMhrqe6+qp0RQNldFa68lcNrVXq+02K2syRuMYOmqbEtTpWCHDac2wFbIemvCm0gzxElJ4feQz+3ZTX5P3YSMsMDApJUjtIKCk6fH77jpKU5FC23M7ADh95niaBH/8NU/l2HFtDV0+TjtQ6GZaseiCZmNtbDApItBsRn5eYGm32hw7+hDWGGZm5X05e/YMP/pjbwLgYx+pcc8DDwJQqQhc3HohjqNlAVGAo0ilo0fneMJu1Ydh0aunT0/w958R2PeX7j7LlBLsjudzDCvSM+953LvczSgClAs+saJCgzhMyzBsCC211QW1TR4ep+dE/70gZq0p+hTYmDEtK2poGXin0uSklrrmMx5VLel43PQoriIhcrouTOZyRJrxb8cRKyuis9msh4JdCDQ7PlLwKA4o8WyrxboiS+tBTOwn5Y1JqbpPrbRdZ6DAS18ka1klWqeuyKKnX/FkPnu7QOuvv1ZQylImIfdz7vwxnv6UlwFw6tTnGRkQnVxU1F0rgDApxcHh5ElBcK2vbbCxsUGo5agXVIwBNyNr6aZS6iSzbtP3ISmPswaIu6huBfdSX4vJT8hxh4Yl8zqzdZa///SdACxv1BnTNXP7cLlbpmgM962JLuS1PGh4sMhKTT4LTMyUEvbaKE7XmKLqkm8czp7T5hitOF3nKu0OQ3qNitqQTqXNqVC+z/Xo0uNnx1JgdlmzzFtKBTJ6jaXVJisLFX1kDgWlnXDUtu0YKVBXkl3jgpMT1PHc6dMUtewsQQT4g1so7BdC8Cc86zsfNSXfSG746qe48YufluOuexpJ5fTohM+p++XckSp5vVph4aygPQcGz7MwLzr2lp94C2dPH/13X/M/LgaLR5Q02kFKGJPGO4VCHl/frZq+u8a1pDdjXVwt35tbCXm5uE0cnNCSr9lx3v15qRz46voGk1q+OZnLM6RoqpxjuF+bpSRr3UC5QKiIlI6xjCS6HMQpGiJBQuccjzNnZa7dwKb6VAtCykp+3tRrtddanNVSwqz/2LappIjYLeVCCiGotyOW1Da5rpPefrK2jBd8Ti5pNUoEA4reiY1DU+c4KTvLxCFnlQj7eU9/JZdcdhUAU4NdBMU3konJHQA846nPZJ+W9J9dfDdzR8Q3ayv6dWpwjLUFsfc2bCV9BnDcrk9zccQoXUnaHSNt3GPjCFeNT6TlhTaOMYlBikNQ1FSn4rB3hzzDfWp3cwOD/PNNAmtcWK0yqQ0BgrKfrnNZz+V+9W8z6ucMD+RZU9Rhx4kY83N6uTgl5y5o2XHezbA4J/Poti1rujetBR0G1DZVM1qZU2lxSte5XNZnI7FN0yP4Cq0pO1pyW8gR6mcbYcCK6rvnOARJYyu121sGi9x9Sms0Y2kaAkJMXyokdAvyWbUT8fU1Wat3zpTYc5n41Xffd0e6Nl07totAEbstpbOYGJ/h1lsFWbN3zx5+8scFkbpW+U1u/rygBrNKKVBtVDG6V3FNBldRklHk0os8vKBipXlBvpBj526hqajVAx4+fhIA388yPycl5LmxIQAW15cw2riuOJ7F6N5vo+HztBnxvQslsfPPGpvgHz8nPtPCygYT2nRiLJNNm3wVfZeH1vWdTtBf4yWsrn3WxIyofbEdS6A6XVQblvV81hdEP7IBhBqvWK12KKuNWfUV2bve5HjPfm5N0aXXzYyl+8OCXmuymCd0kgY/bVbVLvlet7Q1KTffNVLk+LKc18fjsFZ0bXv+C1mck3XF6PmPL69y6Monow9103R8KyRXIuNjo7zkJa8F4BMfv5/pSWlS91fv+gcAdu/aQ6B7jVZlnqNHRR+JI+L4W/tLfURXX/rSl770pS996Utf+tKXvvSlL33pS1/+W8h/OUSXcRwy+RJbtm7nvnvvBiAMA2ZnhKD32IP3sWW7tJI//YBwRXVGDIvzQmpmrYPVuuywY/ijI5INe+W4RG5vOLbIzKCgP0quxyUzkgmut5sUNYI+X2uSVeTJmmaHj8/XOLRdjivbLLFeoxlHuJqZabQ1op9xyGi0vW1j1lvdVsOuInoOlKSudmqmwFWaPji22mBQOcPGh7NMjUzKYRWJdM4vtYk16rm8WqOmRIDWgXVF24ybbivbnWPahrlmUyLpIJtl0cpx1VjubTHKcMW1wsW10VqhqJl/MnmmxgVJU280WapINvGhU3cnt0NHs6pxZNm1W7IG993V5MAhyZrff5egnfKFPA3lXrBxRtJbAPhctOg/emrXVQZ8/ch4aWve2AZUlbshJVcdKKXcPG7ex8vJ8/LdiC+0JYK9e1Gexb/N1dimrWKLeGzTFsS1dpOyIgSX222GFQ23oAialeU6u6bkOZdtJtXZtrUMaJYgaf/acGzKXxYZQ0f/wzEONU9+s0N5Mg5cNsDjXOUSqHTIa023cVy2jGp77FWZdxvA/JJkIZbWm9Q189TB0lJ9yWqsPAgsk5r99t0Cg/uk3XWukGP0CaI7Bc30nKzUeeLTXwrAW3/jLZQGhITwV3/il/ibD0nr4qXGOoePCufN8Kg8P993ePBBQVtOju8hnxc+jyOHz1LMSIR/sCz3YCElmzHGY2BQ7nnb9p089MB9hBdDp2xM3Gli3HKXJzUMUr1yPJ+kX3GkhP9eppwiumwzIFL0Z3Ykyz+dFF0Yj4RL4PPn6swouquAw75hyVg2ghZDirZZbrcZL4nenFdU3fJKm12TqkuxSbPJTWAw0SXlZ6uZGKv2KuO5bChyJ7aGjGboS/mE43CYx/mC6FiqtcllJKMVYtk5Ic+7sSxjMIHD+SWZo+X1ZsorEWJp6/UmlUQ87ETsGVWyfuOxVksQOFF6TyVFA2x4AzS15fb6wglecs0rAbj/5P3MbhO9uv6Zz+PGr0hL9cFRsauLCzHT48pFdvIosSJbqhs+VjNsDl2OFKvZfGNyxEps7jiG4aFBvX8uuERxRLVa5ZnPeg5H7hc7WSgO8Ad/+BcAjI4WyRfkOWQ9eUdarJJOsAOlYVkXh2fHYGJI71eQN3ctnGOmIPqUtw7bS3KOWqvJgHIWrbbajOuak3DszS3V2TUhnxVtBk3U0ghhwN2MMq46cWqbfNehqagoz3dpZWWcBUUx7Dg0wjWa/d5oRinqpxlH7NE27y3Vp6ges6LkrudWmikysR52kUCjqiNbRsfYf0CQNQsPH2HiiUIE/vV77mJ4l/Dc3Pd1yVLfevocP/Zzwgn4ua99gfFR0aH80ADPe8Lz0rl5tiK5bjoiyK7xkUFK+t45js+KEvZuVGFY0eIJAiHnuCkyIbaWjKKYNiqVi0YfiFU+LtNzgTjuEjq7UdqO3QaahS/mcZJGOmtNmhVF5vjw+bvENl1ZEPTH1xZXmNY1Jo/DzmHRpaDTZkjJkdbaHSZK8psFRT0tr9fZM6lNM8IYo3NX6xjKCQ9OTdbXpmewCu/M+i4bbeXSAoo5JY1XLsrMJYNckxXbVG9ZcqpL1TBi/6y8E/UFRQN1DGuKlFhdqneJrz3L+arc55jqUr0eMpBfB2CgPMLJOVnnD+3ax9A28TvvvecOuUfr8ps//WuPOR298vefFKLk179IUF9R2KJSkWtgXe6+61YAzsxlUs5NP6Mt7qMIT3lbPRde/OLny7Ne32BpYelbXvvbE0UBpvzhlsRX8zyXiiKrHLVRppRNEYI2CIkUqeCZHP9WV3T6WdGnz84tM622KRMZdujf9WaLwZzqUytgQhHyiw3Rp4W1OrsmEnSzTW1TtWMpK6q9UdP1wouwym+W9R3qCa8gJtWnUkHGtevQMNck9iiArFZG1IKQfTOiZ41l5flpWlYrcu+LK02a6veHJkoRXcPaxKfTjtkzonyeIQRqAMYHcyzpupjT6oHG1C7+x+uEo9RxI5ZW14FvjeiKgT//6/8LwM7te/neF/8AAL/3559kYFz5DBW9cfLkWQaVJ3R9bQlHm1HYOE7tw4UXg8HBGh907yFk80mzkghHkShJUxHjZbu20hiMk6AGXb54TN7ZJwyKLn1lbpEZJXnPYdgxILap0wkYVh7U1aCd2qZFRR0vLrfYOa7rXESK5G50DDktf2jqOrfuhsSJLmVcaoqQs8ZQ1OZRA4qqKhwc5EpfUKHtNvhaddGILPuUg7K+JPNRig3zS7LOra3UabSUg9SJEhpTtiqyf6PSZN+IorljjzXlIuxYqOv+L69r0SnjsueqqwGo1da4616pMNpzaB/lojQrWFg5z/3H7pf71KYrO7bOYBWBf+7cGc6cE/t3111HU+7HpNLKxKbblCWOCHVvivFwfZmDC0+7LEjAditgdVX2/P/0gfdy1VVXAnDkoQdSkvpSwkHtGJyM6kTbMjghdiJot7mpJnpztTZBuXHuHLPqJ+Vx2K7owLVKgxG1LxuNgNH8Zp9paa3F3in1tSKLo9duWYOaM5rKi7ocR+nfpVyGdvJOYCio7z2oNrV0IMuVWfGNgsDiK8qqEVmu3LtDxnBS9g/ZtmVFG+KtLNepNrvxASepTFDO3bU4ZkdZrrFtoMxJXR/v+OwNbKh/WVAE87Zrn8obfvBnv9GE/Lvkim2P5867/xiAc+fqnD31RRmbVuLcc/hesoqozOXLjI3J+5PPZbnjtpu/5fn/ywW6xGELueMrX0pJwkenJjivxqA8PImTEIiuyEK/vtTA1YYPceBiFJoatzuU9ByDuslvPrjIwKB81u5YKkoqGNmYEytKvJr1CTT4lNPucltHS2k5o1fM4Gg3nhIu5zSQVVTHzbgOPkmwzTKkE9jMWoZ1AV2uiaGbHS7T1A5WxVKGnEIX45bDyvq63L+W1WwbK3LbfUrEbx1GdDGdawdpWZCni0ec8Ym1TKrkdggCGW8+Z5jWcsI5fdmI8szPC9xzz/6dTE1N6XPI8fGPfRSAtbV1moG8DEa9C+O6hLrIt6ohJpDnPjpc5urLZeNR1cX6/nseFg8aMJ6LDRNqf9N1zi8CD6a1MWFQl+skUGDX9hBRO2l3oaQTZLRewxuRDbN0gtOuSFEHTxfckRHtgneqQrkk894MYlpt0YUoiphX6LCf8dNShKLVUomiw5I+fy/n4aiDX3Y8llPy9rRFZzpeE5uUVDoqOgyrrq+rbo6Viyyr8a3ZmKx2kMvGkNWNZ0k3CwNZl6OnxUi61jCqm54zzSAltYyVbDEzNMbOXdLNxK2cZr4iTsbkzDT7t8pm8b0fEWLe89EATmYIgBc8/xU4Thfeet21TwLg3gfuJbAyziu2yMb0+No5qkpu+aKnvYyEMznn/TJRoIT3i+sAjI7Npl1BTp1eYH1ZFr2TJ47SbFS7JMwXQRxDWgYau063vM1AnHQS8npK4RKPJethNGAVxzFGA8236Nw3YsuAkosHHUvQFj2Io5hz6mT7GT+FIeeUSHakkGFZFzU/66Uk9QN4rOimNikPMjgpMaWNYNhV21SwjGSS4L7o8HCpwFxd5mOtYxl3ulBpo8TWg7pBHMp3dcnHSTf/51shvr7fHQ1WdDyHQANvZS/G0fvwXMOUdsdZV/s5t1zlSVqiXmtsMLcoDpuLm75TH/zYvzA4LO/jww8/AEBERBKtnp3Yy8qqjM3YTrcRBiqxxWg9t+kBQds4YumbdHr5diWbzbJz915uu/UmQnUiL7/8SsqDci/1Rp2rdu4A4MTp98pBfgara5NbzlGtS8CluGY4beUdiIoJka5laEC77bRjWklQM4o4tyzrnuf7dHQty2qwfSSfZakh1/CyFu2PwBAey52EkDUpXTTdrqKRwVMb75Q8hlWfato9tlTMcaou6/hGYJnWMp2ClyNphDmsDl7RNxw/I+t73nEo5mRsS+2IgpZCbijZ7ne95HXseIaUIHL3R3j7u+RZDZXzhOoMN3Qdf9qzv4uFBXlmV1x5FQdmJJEzr12ZE1kN5X17yoFr088KqusLc8tsbIj9W7nvTn7kZ/8UgKMPiu594Qufx9eSmaGxUZaXRPcymYxyvF+MDaWRoJaNSDXbjdLyICxdfL/6CnEbjCbknFwOq06wccFRkuYPnJVSmWl3gKGybt6DmDjpmmrhnG6iPd+npfqRVRs17LssVMSezBSyeBoJGHUcljS4XNbNaDOOcdRfM5FJyz9aeZPapmqyQShkOFUV27TesUzHXV2ySrA/ooH1gazD/Sdkw+ZZk5I/LzQCcmqbQk28zezYw6tf+V0AvOtP/gir5dEPH7mHopLzjmyThN7Lf/gXNs3ACV2DTpw9wbOufFL6eRLgSqQetHjbb78LgNuOHObNb/wVAH7p1/6Uhm6KkxKkTjtgXZsZ2cjygQ9II4U4ihlSMmatorkIYsEafH32URQSKyFztVbBaOIDLylH9dLOc7FrKZbFKW+262zU5ZmfzmrCJfIZTvSpHdHSwAHWclbXOs/3aWvA2FU/cyTrsVyXMUzmfIwm54ZwWe0kJPbq32NxVded2OCrPnXyDiPZxIbIMQP5HKd0L1DpxExFiT7lZS2hW649WvR46IzYkKxjyGmA48Rak5L6UIlJXG/HdDRAMuA5aWl+1jfsGpDnVitKIO2661/F1QekXPHdH/tnLrlEShD/5oNv502veuNjTxFw79z9vPpl3w/Agdl96ed7tm3hcEXezboVfzufy7C+lnSoNiRGwRhXl8uLYZssEIINunF4x8WoX2jjgE5SK6gLQRx2cLS8zxTyadMMjE0J6//x7DoAUzbf1aUgwqpOmCjmzFLXb+qo7cnofIxkfVbUnrhZJ+3AOuJ6rCTE42qb2pZ0n+LEBl/9uyAPw7nEB5dnXc4XOKG61IxhCg3oOm5KqzOgx4wVfO47Lg0DfBzGVZeO9+jShvpjuVKZUMdIu0lWfUnikJzu6ar6/Nq2xOn7JYiVzUNdSzSXb1nh2U9/GQAhLlmNwmzbIkF848JTnyrd9GZn9tDS5+PEhlJZ94UajKmtVAjV3gvpvzwrx8lCfHHoaIzjkskXiaMgbRj89Xvv50UvlARANutzRveyJ+fEd3MKeazuB4zvU9dtbyY0VNRmbEg+k5aFKe1yW622aWuTHMKYh86JHR4eLKR0HMpqw1DWZ1ETNrMFF1fXx2E8lnV/X9aEt4ehmsxjx1JS2hoz6DCaTeZc5muoUORURda5emRTsvmwY6k2ZDwJ/dJg1uHBU+IzZYxhspTYpRaDGtAPE8qRfI6WUj9k4xZulJQ2wrT6OYkOf+dTnp8+/xC486iUNobBOk881PWPvpW84SU/BcDPj76PlVUZu+vKtbymm3ay9EzEyqLYqHptnXyShGp/43P3Sxf70pe+9KUvfelLX/rSl770pS996Utf+vLfQv7LIbqstbSbbQktKvSgE4SEGk0fHsxyXiO2CTGm41viSDOBDtikbCaMecKMltgo8ff37p7ic2sSTSznXM5rmHDE9wkSWH0jIFY0QEqCX8xycl1+2+xATjOhp6oNPIVrJ+Rwo3kPo6TxG3TY0EzpiMlQVnh0RSPBreUGV2gZT7QecXJeMssjM0MUNCtadSSyevZcQCEhLceyqlmQjOMQ2aS8Ts4bRZaORpUzrsPksBy3UmvR1s8HfD1+YhcTkwKPPHP+DJddJq1GV5aqdCLJUtSaG2hyDaPZFS/jktFocjlfJMpI5Lk44HDLrUJif35RMl8m46RlCTYIQElEBVepf18kTnrj2LQUEQRlk4BqrY27KI4k2xRGRJoJM34eMyiol/WqRzZ5zi35/tU7prhJI+7lvMuSZgiHfDctsak02um5BxSZMOj4nNxQIkjXktes6UIQ4CXlAU5CguqQ03mvtgMamqUfdn3ymtVZVzRGba3F48YEjZarxmxUEzhGhvMrmoXQcsf1uWq39XEnoq7vU8Zzaet9JEjBZmWDvbukzeu50zDpaSnI8hpz8zLHz3m2RP4/d88Zvu/VkmH8s7//Y4YGJWPZvBru+LqUaRTzRa6+WggO/+ET7wEg8kI2NpQwtDtd/NBPfBd/9xefBKCjrY9xMilB9frqCh1t6BCFLXwHwouCwrdSf+D46OP+/7D312GWnce5N/x7Fm3ezdM0PBrBiFm2yJLMLCeOHXbiwAkeB0/efHmTnDjoMINjO3HIcQwyxGzLlsU44mGG5t7dmxc97x9Va/XImHOO5jpX8nVdV+LWng0LatVTT9V934UX1Im60n1IkwiTobvyhwXSriIZq16OGoxbLs6wvHdKkZcv3zHG57XTUSt5zCjEfkPg01H00kqnnyOVyuq2g8WAQyr+3sahkqGp+n189W1f218V41BUVGm7H7GskPdB61PQe72ix7Pa6HOlUgHrNmW1I/4TDwTML2t3VH1p9XSfenCGLylKy8Hk6A9XfdyS4ikkLraW4Yocz8nVhEQ7XVbFXLds3sTpY0JRN6USM7NyravlQQ6cFJrr8lIDxxUx91pNqAGuC6WSwKLL1RJ7j0p3b3QcZk7qcIAM2u6aXPDV2gSTxQZSXEUBnI15Gb1ul2effIyB4TE62sF7+L4vs23nDgAGh0d4/HE5x5e/WlAhX/rSx2h2ZXx2UKgwoMLzi0tzXLJdKAm7+uJDr7pgE59SBGS97DGv48FHApeO+lCzH5IhgLTpx3Ap4PCydMI7jos2mZkJ+zkiwdXYNOIFBIqQ64YxK3GGsPDw9b1L2hRdWg25bkwg6QvNlBVFZjDgMTcvx1ZQxIc322VYxeyjOKWtHVTPNYS9TABXjuGZ3Q+vIboufT0XbP2C/O1bHnxaUFbbVfrgR3/o5/Pr3yfinqeFhn/9hZdyUGmzNupxzvAQX2k3XizDMXZfvJuPfEJi1iu/89WMVK8F4N777pXrWK7hKeqs1wtzdGkc9kjSNRHm59cECf8c6FbqYcwZQq66Hpmsg5ym2L685hTdfI20YUihLsd424SsfRfWx7hPfWKw4nK6rSitkk9Hu8GNpJs/RxWlQQ8EPgf1cyvWUFfE3oleP09OPaVujfg+ga59/ShhUVE8devm1zPLeZZW+lyzQXxpsQmrGfKgHjCrQr8lpafNn2gxXpHzCOM0F38uFgK6in72NJ/rLi/y53/8p3I8AyO0I0FbeG6Ap/GtrajSL33pk2zZJKjiqW3nsKJ0tjPRXBY43ZPXjxyVZ3nXxVfyb18SpPz9X7qTxaYgxTZuKnLquIoRL8gz3vMieorG6PXbSh8Umnyz9VwU4vNpjmMol3w6nYRE72+aWIzmatYmoINubFdFulOfUI+vMlXH8XWYRD9iSK/veSpevGXjCLvVh0olh4VVRaQXPLrqpyu9Xp6SVdWfhgsuh5Zlre9gKGR5Uz/MkcNZbBryPIp6vHGcsKBrXQ0HV/OmZV1vVlZ7XKWxab6ZsKKIVlPzmJ+XZ6iosalxfJWa+mNibO7/lVIhX/enVP7DdSKarWywh82pkr7jsqSo5kpdrsltt7wkv/6vePFLedc/COrvnJ0Xc/czu+X67byAf/rHfwDgbd8nKK9Lp3Zxpv3DJ2VIz9aNFe7+sgpka263utrNUZPW2jyXsGewBs6GWVwcN8jzH2Oc/LcxDlYp7/khWIdUc23PLaFQWOJuSm1Ijv+WcXmmLymP8sCKSh5UPU5rHJ8sByQaa1e63fy7y8pIqRd8Dme+ZH3KSuc/2e+fwZDRz3guvoqJx0nKvCLoq6mPr+/N9nRLKyEvUGmHpVbKUlMRPUNVZudVuiKQ810+sUpdvzcyCZ00o0f6JLqW1hRhFPXDXPHF4lDWuNlqWVYVNZv512Knz6juW04tz1Eqi2+/4Npb2XNQJYEih3pVjnNoUPZ/SRqxtCoo3nN2eBhPTmpyo4sTbQagHcn1bS60clqmsA/kb8c1a/Tw59usJU1iNoxP4qoMguPA8KCg5jzXMD4iOeDRUyflI0mKjTMUv0+oa0WcBkzrc7pRJXjetHWUh/R5HaxYFhWNXjGOrN3AfLubx6VSlouXPI4qbbDtl6hoXDrR6VJQymMGwCsYh1FlBK22+ixrfWAg9XHMc/dzSyttbpiQezTfTJlvhfp7FebmNe4UxSnmj7fzgVKxY+lkqLNCQKixr6gFgjiMGFYpgn4vZPOIfO7QQiuXYBpWdsULrrs1v/wesGunyEF85jOf4q+eehcA/+1Nb+WbmdUH8MnddzKxUWi1l10kSMJX3nQ97/hjiWtXXH4xj+kwoJHxaaq6dj/x0L6v+93/6QpdgHiuTfAKyvONI8JIFvX5MMypQq46ULlYpqXFBlMtYJTv7VaK/OnjkpT88DmSuO5b7NBVOPpIwcOq98m0Q+WBp3E+Qayi9MDxWoFF5UT3wxhXX68UCkS6sK7qhsD3XFKNSDsGixzRKV9TQ5WcNlDTAtH2iXGWdYpabcQwnU1XMz51fbBS/d0DSy1Sdd7NA0WGS/IdS61mPrkszqbBFQydjO6Gg6sL3XDdpxjpZI6CPGy3XHsRI+dJcra83CfqywM711tg+4RQEA/t/STFmm4Q9Tr1mnGuSRQXAlb2ybUeLJxPFKnuTpaM2fz/ARHEGVffP6uTzfRHhGORx16b3wcHcwYsWvUl0kiI70CyYogzbaog5bHFhnxOk6pTqyv0tCBZii0oX78L9LPCnk3yTX6kn5us+DQjCdS9MM6Ts0oxINLjWNVr6wQekf69tVLksC6yQ5UigUJdC8oZ37VxkpOzkiQXBjwKFdn0bhusYrSwduygJtFhxKzqv01Vi9TrWgxthrk+wOQ2CUQ/+0cfBCvnfqXZwLEvykZv84texp1/JxuDeaX+vuU1ryZB7v/E6A6uu+Y6OR7grQqx7xPx/k/8m/wdyiLz8he9hmUtdGXXEGB5LqATyTNy7nkSII8ePsTR47KQJZ0VGQkHJMYD18vh7c+vGfB8ok4DT/XIcHxcpWnapJ/rGDie3A/jBhilMTlOkTiSoqBbdlApEcZK8sw/vNSiq/DnmutgtSjaTFP6mui5Js1XTFcTnQ3VgFakFMQoJsq0toprE30aSqkcKvgoi4vt9TKPK01kZKBIIYNWa/HzvMkNzOqGy68F+FW5N5vrZcyqHOexg+Jf3TBiLpvEWS0wNJjFpjVfsro56MSpUD6RxzKb5jhY9ujqpqGnzYOlJ++jtFPuue+UuHCH/P3wo4/ygotkY9Bor/D4HikyNFtyvIP1MSLVu/AwPPWEFDxOHUlxvGyyk1JuztQmsWlOmQdDkn4DvPT/obmuR3V4A9u2b+HAHjk+CxR1DdjzzBNMTU8DsKSFzFYvXGsAdVq89nt+DIBHn/k8Mx2ZSLorFX/70vxCrvkRpC5GXIR2aglzf7I46i/Z/46WfJo98YFuP8bTYl+lGBBr3FzONiyBT6Qbhx0DRfZpIjZYL+aT0gJdp3ZNTXJqXrQw3LKLKWshtxpQaMt3HNurU8KimBmNTZvrRYYG5eAXm518atS3fMd3A3DVm39u7aIuPMr28yQRO7Jg+f7vfTEAYaH8Vde/gM/1F16a//eOTJuS0le9F+DTD94JwE98x0/zwQ8KTXtxEZ5ekteDinxusDLEgmo4lstFelroTqMY1zVnb8iwoxSk/AdS8pym4OdrXjZqzeJlyzdYR9Y9ACcl0udvOJC86ZHZJi3VzCo5Pr5eor4x+f3wsSIkBVgtZE/UCrQzanY/JFRaUb1UIM2mtNpMc83LJ23uKJRYVmG8kYESga6fnibn546NMacNS69scKviS5O1AqzIcZ4+JL7U6oTMqTbmjsEK2zcJT6V1ejWfuohumtyBEUaVxrJw/Aiul2mmFJifl+drw3kXynG1TnH9tbKe3fGpj3H1lTd81S0xwFRR8tip86Qg+u4P/zObdMrqRZdczp/9xR8AsG3jjVy4S15/3/v+EYDG0nxezAkTk1NijePmGiq6V39eLU1TOt0enu/lFHHX8/CzKYVJN29WOjbjAnl4uikPU0OsBenh8QJeXV4/ptNPjzdbrOgEsRHHx9WiZMfafK3zTYqjG7dsOd9QKdAMM62gKJ9iXS8X8zx8Wf1xtOjT1VC+LSjRWJZ4Uq8WKWgzaEA3c1tHNjCrNH23FBBUJW+dKBdACxUnDqzFplld6zZWC4xro3ql3ULZQBxqiL8td/u5jpjnOXSU6jXhFnA1TjeW5Hv//H/+LD/2K6rPWB7g53/4bV/z3mQFrq9n3/0K0eg63Y7opdKo+r3fkRxteHiQptKukzjMtWqNcaQBfJbqE8YkeZELpFCTy3E4rOVruW6Xl0+HTdpNXNU5dAoBkRYIq6pX88h8m1X1pVHXp6AdwHZq6Wns8UjxsunX+lOTtWKee/T6MXE+dbiYr3PzWoAbK/okGtN2+AUa2jQerBXwNYZUtTGzY3QDMyrtEVQDnGoDgJGyh6cF1OMH5Z73elHuS9OVIqPD2ToXoW6eU7pW+wmjukZ5SZIX4TaYIPe7nkpKXDHosieS49q+8Sp27pRi6OJyg5fd8Do5p8lp7nv0Hvmg0kgHqsOce640pjdumubHf+IHATi8r8nYhDwTc7oHSqJ+Lltg0xhHJ9Gn1uaF1efbXN9nZGwCLyhz5RWXAfDI7if59d/+Pflt164V5rPCd+CTlULCRh83Y1wXEu5XauvGjDLaWGVZtZGriQuaM6XGy3VC3TSmplNiHfWJjdUiocbJuB8TZ5JJ5TKJ5r3zuucdOcOXtpeL7GnJ34P1Yr7OORqXzh2f5FRDfMUvF/B1P7e1UsPTgt2JA5JTdbohp1blfLYNVJgYlbg031zTBu2rL7U6Mb5RKYsoJtVjnxoqc+nVLwCgqzqRRIugmnMATT3e21/6Cv5XLKsbbPDLfP/3vQWA4/sk79392OMUXd0H1MosLMo5zc4tMjg2+E2/e526uG7rtm7rtm7rtm7rtm7rtm7rtm7rtm7rtm7/Jew/IaLLSHU5tcSRtKr8YiWnmRjjEmtlNFJ6y0C9jmpdYm2Co5X58pDhRedLe+5kP4Ptu2zUrmPJMXhKsWlGaT7xxgAlRYsVtTI76LtsGZRq+snVLhWt0jajlJJ2PzPEV7XoU9aOwLFWL59msrfZQjVe2Ywc10qzj1X458WDHo8eka5S1Ouxqt2IltIuBwpePiWomSRsUhFQLJRz+Kt+phMzrdMle2GMIsdJUnIhvGtvEBTX0MRmxpWidPTwAUo6weT03CKvftUbAJjYtIV/ft/fyHUb0A5/1cNVuK/pu6yckB95yRtu5UN3COy6kIkhz3YgzZAThrxFZyOwa2LlZ8dS6eJkvArMGk3DGkymLG7PqAtn/56mpNrJHp2AKycHAZifkYqzXyiwSVt23XafglUB5n5MrBQok0I1o0Bpp2PAc5ioSNX+ZJLmAsv9fpKjCRczIVazNqHqeKufi1DubTbxmnLsm3U63NJKh1S7vpdNVnjsiHRhOssdVpfEj5a001pz1oSkQwfKiqzzPYdAIa5L85kYdw+MdHroHuTBe+8CoFors+MCQUUkvnQAZmZO8Ln7BXq66Zwr2aTT7+5+7DE8vVbNbouuih0OjgmtqNVL8IfEf3/vH/6AJx6TTsaWTdu54AqBTU8Pi08fPRpgHKUwlWqkKuBvbAReANFZQHQ5Ll6hpjB7RS6kMVY7yDaNcx/LpvjRS7DFTHjSYFRgtTjoMDUt9+lhpXBtwGNa0V1umubUr3Zi89hEYvMhFKFSogY9lymdnHd8uUNZw36rFRFoXFglo37F+VTPo6tdyur7B1ZbKEub6brEgka5R6JikddMVXj4iNyvTqNLY0li83IoXaGyY3JEUOya3Jc8xzCg6NW2drMjTA6b7rY7FOwaujJWqkFBhY4r9TqtRfHBi2++hi/cJX632mqwYUynUXkRN1wr6K59R0WA1fMTRhXynTRdkkh81yvMMTClE7UW5XejDjkNB2Nz4VKhg50NmpmY4zhUKiWefvpZEvVfN3A4eUqQI91eD0cHmYxNTukhpfmUMxyX3Y98CoCRqUE2WEHoHj4hqLaSF7BRl4hOs08p1jUrSUmzAJdYaupP2SCFgcBlSjuWJxsdytovazVjCkWl5OnHm25MXVEXR1a6FDU2HVht52vdxiw2ldskKuJ75VSZBw9JbApX+ywqAmJJhycMeAZX/SnxHCq6HgeeQ6Ct7Pf9q6BKn4PoGr2CyVcI6m/y61/6/y172TW3APC7f/vbHD0sx/ujP/Bd3P+4oAnveegJAI7vf5ZUfb3dNDhO1v11cWx2lZ9vE1q1teTILeOYHL5goxSytTo/gBSrarpJv593p92Kz4aNShfQ2DRVKLIxo62FCaVsnetGxNkZJSmDGm8SfW2k6NEbkHt+fCmlrDTXZiOkqKLwPT2gVcfkselIr0tJEToHV9u4mi9sVLTVarFDouvcFVPV3Je6SZfmisSkjJZd9518nYs8QClB1qa5PMBiUzrh5QmHxoKg8VphwrjSf6zj4OjkZK8gr33hnrt4ckaojT/4tt/nk5/+OABvft3tX317zrDvv/07zvivm5gclQnGP/y2n6IffhGAyY3yLJ/e38mRBFjL5m2C+JqbXaKhw4rOjom4dBKzRuU2a9eR2MFkqA2liGM8rGoG2KSPzvdgcMBwTk0+N6OBY6ASUNdnuteO8ti0Gse5P5nEoqlmjvQbKLhsVH86sZRS1vy8uRriZTlwlmN4hqr607F+j0Bj3qHVFp7GtCn1p1axkyMvrpqucb/6UyfusbyYrXWa3zsmH4hlfYdSxg5wDJOKaAuyoVPdHiOa53nGoaIobN91mJsR4egrbxHx7/Ovuu7r3YyvaQupHM+osyb08Jt//Vt4BUHht4NV/vUTkoePTgoyc/XICuWi5Pe9riU5E/lu7FmaCmuxSYxNI4xeY0F46T/HMUYlXbL11toewgGQKbd5TPN6bN4qucP+jsSmjcUy0+oHST+mrDI2zTghynwptdT0nme51EDgsEnXuWNLXcqa0602Qgr6rPfVZ1bcmLquR4d6EYH646FmG7+ZxSbJm5qlHlYRohdP1bnvUAOAbtJjJc/BdUCLMTn61QaGkv4deIaaIsR6Z0yfzadBuhWSvuwVPdewqIOLAvW/JLVM1+R8tl18BS99qciKfObzn+Et3/a9ADx9eC9RLCjTR58WSZEtOzZz9dUSj37tl3+VxXn5vd/4jXdw5z2fAODh3XLui+0VmbwIFApV+i3ZE5mglKPx7BnM+efDCkHA1q3bWG40eOrZvQD0wg6lujzIvX6P0CiN3c98Cmw+7ZN8IvKmTQGv2yk55LGjgpQqF4uUlOHTafUpZrl0tOZLjnUoZXtFdeLB4Iy4tJzi65LYWo0oKiosuxQtL6Gmf88mCb5+x76lVr5P3zgg57NaWfOlyzeW+fJ+RW+lLdq6zi3pFMyqY0j1eY48hxHNsYtuO5+6uKS+FBlDL6Oeux5FTf637TiHQzMiD3Lra79dzufAETZesIbomqjyf2Tf9z9+hUZTctz7nxQ6/+qRU5SVJfOBj3xsLT91LCsq5/KNbB3RtW7rtm7rtm7rtm7rtm7rtm7rtm7rtm7rtm7/Jew/H6LLCMrEYnLObxI5VKtSRgz7K6Raefe0k9yNolzHyvFtPl6634FLBkQs9L5nZPRz1XXwVbCvG6ak2r0Pk5hqpnfkeNSUdz05qELxUcrkgPw9147o6edKnktfxdsmtPJai3187RTO9JNcV2vX5nF2bh4HINXO1sJqm3HllMdhSqr84LmFdq6NcI5ybQ+cbuSc8pVuzLCKYw6U1kbnLqueQKufEBrpUk6XCjRVVG+gXsn1ur785c8BEGw6zQWqYTE0PJWLnJ5aPMDf/v1jAPSiLoFek9KACuJHCegxBk6RUlE6DPfc9VkG6lIpP3JKulbWVIEzKrMmQyUEOT/87JmLMZzBG7cYk+mROBjt8NisLmxT0K6QVw1wS3KOvdhQ1or43IJczyHPpazjdrueS5q1y21CUbtXXmpz0cLxAemmpUnKRF051J2I7Mg8Y0hVQ26DaiWVjY+vHYS2TTl3Qrpz51YLlLQ7l6gWz+JSk82Dqv3VadNTzaeZlSY17TLW9LmZWWnRV3Rfq5ew6qkGi+eSaEV9Ub/3g3/zRyysClLkrW96E5vPvQCAj3/yUxydlXv8S7/5J3Jt9uxh+8WCoJkYP49nDh+S7/j39/LjPyhi0P0TB1hs6njccUHeVEoxR3Uk8DnT07z2pSLA/YlPP0S9OgjAg/fvBmB0pE5DO602DXN9tdRaTBrznOkDz6NZm2JcF6tdIcf1MdptjOMUJxuPrWOLXb+AVTFiAour45yjbsSNQ3L/Tx2X98aeoZr5UhccRTelcZKj+NzUotJdbB5SX0otUxqnZtshocYCN4WoK8c5qoLv5cTH17btQidl50bxpS3lgKoiOVMVh1hcbbFpQMdV9/skqi9xqLFERbvnFfWl2UabXjZ8oR/T0G5rtejha5uqrcjXTjvmmCP3bth1csRCqeDT0w5hJiJrhsdYWmjI59sdbrtNkFufv+eTnFqQmH742GHOUYFMt6DPdeKzuiTx6Il7HyHsrui/Q+BKt8yqNpznusR559FZA5umKU5Q0nvA827WpoRhD0ws6BsA4zC/LF07m/R56qlH5Bznj8hrboRRbRfXNzy9/1EANocbuHhcOsrPLkrXOCgEBIri6fjOGmI5TXNtGze1ZIDDMdX/SOKUibr8PdeOiPRZcg30Vbx7pCYxpoSPr6Jvrdjhok0S93eWfWraUUxUQGR+pcmmAe2q94GOfO/BxhJ17aBn6LDZ1U6ur7LYjqg4ck7lokOxIv3QwSDri359ixZEE88fHf2m7/1m9uG73wfARz7499Q0h/jjv/wDJnV4wJyO9j7vgktZnBH9wOZqm15Xnn/PrxP2W//Hx/F1LQNKm3xqTC48D5BDNvUZM14g88IBN/CwRp4Hi+WWLfKMLJyW13pOxFA2Vj60eQ5h4yQfiELiUNI4PKHrXBgmTChqYrbVJ5uq7jkOocamYdWGLFuPIEfHp+zcKPdse9mjWs5iUyZG32TzoMbaPniaTx2cWWRANeHGNeYdW2jl4sjNXsKsogd938UqMiNDmux+8mlMQXU0i0VOLeoaVa+wrDpApx97GICBcy/mmOrVrKzMc8stNwMw320xVvrGbe/dJ58C4OP/8kFOzsh3vOKlt/LF+2SQwr7dEtvcoEScZD6TcvCgrKWVcjUffHLWJMQNWBviK9omikMUiILxfXzNlxNd84wXYBO9tlUo6nh747qMO3L/nlgRlDaeYbik6NC+IcxQY0mSo1acBIrqT+M18aEkskxonJprhc/xp0Tz8KEsNlmPQPOmRh92TOlaF3jUVN8s8/+lVpvNCh9Lwx6mLbHn4Mpivi+oaMxcaPVyjcNGJ2LRF7+oFD3KGhdOqrh+kjos615huhyQDUFqRil1Xb+vvVaQXNPXfGMk4FfamUiuzB6+5y6qQzKs66JrX8xkXdDyk5vOl3N/2SS//w7RhKtVirlecWodAtfhLCxzYsaq9GUmOm/IPdeYM3QFswExBYzN/MfmqELiAjeOS9yfOyWLdsvpM6Io59X+GtI9iRKKes+c1KKpF+Oad6exZUpzsIVuTKz31HMMUVfRcorSKeKjEkI0ew7nTA8CsL3g5nmTymOx1OqwsabDdvptPF3nDq8u5/lSVdGM86udtb1bO6bsaA5ecCkFa74L0Akt+zWf3zoQYH1FD7oOwwMSKzvKdlrsdOhovHr1RVdyz4Oyj6uNVtl34igAJ07PMKg+eNUVlwNw7OQBHvrrLwLwxGMPEuie4N8/8UHmOg05v9P6DDvOGkvHWIwej+v6pGdl4Ap0u12efvpJCsUSF10kyLMtW7fxuA6VWVlZwlWN02xvj+fgqIaxsT2sIplOz4aMnCdveWZVdd+MZaSkQ0c6Zi0PtQk11fVz4rXBPVnORGyZ1vrATDPMdSs9C5EO9hpTndGyE+Sy0HPNhIu2S03g/KJPvabrhvri0mqb6Yr4Qb/bx5EtPYdnligqWrWuyLWZRpNU17OFZp/Tmv/Wyx5LOnQv1vvVSWAukL+3DdawXXnvkZOnuOX1su/a8oJXAvD93/1y3v0Pn/p6t+R/2W578c383P/47wCszugJuR4dHU7iFwprNYG0S6UqeW1r6et/51krdBlj3g28Gpiz1l70Nf7dAH8MvBLoAG+x1j76zb/ZCgXIcbCKe4yTENcVZ7josutoa7HhhutkOuAdH/0Aq22NYmnMgE4K+oGrN/LUIYHhueo4Y0NFtkzIhXvg8AIrKpp+br1CQTcFXgJlDUirCgscqRbySVXGS+hrQPZ8Q6BJUpakOQ6UtCg07ZFPIGusdvniwzI5YJtCiQNrOaLFrYV5A3pu1cDJhV07ZKJ6hoL+HfspexrinBNBkWq2CBvZQBaKPn2lF+y4+CquvFQCWRqG3PFJEQHPJ7Gc3MueQVkQX3DVRppt+Y5XvvJ13PUloQrd/cCnqYxogUuh/w4Wo1SE665/Ga0lhWgHPfYekmTw8LPqgo4DJqNaRqBUPox7dkaafYWl6drCKkWubDdrsEaOJZsKYYolXN14+QOGi8+TAPbajcPsPiyb0KIGsvFagTFN6h9qzbOkNNMd5QqBJsy+hYomS02FGA9VCvQ1KDlumotvV4ouRr/bzTYhrpOLpxZSk082Mv2Y07rZL/hZkdZweFGCR69dpKzflXgOHU1qEl0AjGvyvGLHRTt5aLcIA161cZwFndB20eVCS+z2Y1JPEowjJ09z8ZWSnC0vL3FkRmCo737PbwNwwa5rue+AbPRecHXAjVfKdMWbbnoxjz0llMaX3fYi/u4jUhh79ogIYv7VO3+THdvl9546OEdrXqhJj3/2o2w9T57/77z9RwHYNLWVyy4TSuTuRx/Kp1ERR+JPZ2mhNa4rG8h8Ml9M5kuO5+ZTamyoFEZjcRSCbq2ltkHu4/XbyqwuSGB3dfDBWM1nYlQWumdmGhzT5/CcagVP6Vpe0VJVX2hmyVi1SCaZ7pqUjtI26+W1hMPojsAvOxTVF8ddkwuemijh8Amh4QQKOy95hiPLOmm2FVLSgn3sO3Q0BsSaNAjtSf49Mgl7dWrpuF/A1/jX1msSAUs62aZc8RlWakfgOIwPDQJQGRGodBoU2XizTH1ptZo8dq8sIa12g6PH9wNw0SUXc+C40MYKKjreW23QUhHwvceWaSxpQb4AQ8Ny7Cf3KvTfK4LJpomleZHUcNbqpQCUK1WuvuaFfOHzn8bXInSYtHG0YUJQILXqIxmS2/HwPB0sMryFZ7/wLwD8yk/dzpHDUmgpaeFpNPAZ0eRrtrnIKY1N51Qr+ZQ5v0w+IagdZkMugrWpoialo3SkWtHPEz/0XgZll0ImZm8sfR3CYkLDoaXn+lNg4PCSXPt+J6GWxb+iRzvzpyxB9ByGlUL7kz/yvfzPd/wZAFdtnGBqsxSWXvxD/7+vcVVPsHzf3QA8/cg93PDjIsI8s/vDADxz6BjXvuFHAKjw1RtFgJ/73f/O7/7cHz/ntTf/xIu46frXAPCil30Xv//7Iha+fesgWzaK/z6WFabDHufsFMHyhx58AHTSXJJEeUH+rJgxYJy88I5J1yjUHsJPRwZhABjXw2Q9Jielqsz0m84dpqu7q6LGjdF6wLAW09vxCqe0sbizVkbTHzxs7kurWhEZq5eJtSBT9lyWu/J9tWKwthnKfcmnqJ8fseQxphIaji6LL/lKqS+6hgMLqsIeW6rZpOJSgaYK3lv93YLv5OPTjJuyX4u1k55PpI26VT2GBKgPyaax12rkm4lOP6SsBbSq0stPHdrDi98ivrR5fIpH90vxarExw0uufjFfadmKFAHLS1K8+qWf/RUmr7gSgPGRITw/K2rJ76ZxijHyu+Wylwt4Vys1Or1sXMvZMWOFrpjHeMcj1gaON1DJpUMK2dBsm2CcTK4hZdOknMPNEzUOnZTmaUlzmtGKz4jmTXPNRWb1nuyolbO0F9+sTTJvqtzCaL1Eqv5d9BwaWuCsBgFxltfoeuqVPEp6cK6J86ZewaQcOyV5XCb+XPIMR9Xnm80+lewiBB4dLbgnWQw2BjeTu3DhaZ0qOhEExBqoo4za5Dh0lFZXKDoE2V6gGzI9JfnLg3fJROnbL7oayhu/9s04wz7xyKcBeOWVL/uqf3vzf3sbH/+4+OHPf8freOPLZY/0jt98LwD79x8gKEke14uiXIzeMdDtts8eVd+CDIXK/vOMQpdjyBT784mQJlX6IljrUtDJlLdfV6exIL6Q9bTGBoJ8nVvthxzTdW5nrZzTsf0yVLM9XSfzpWJO3fSNZUXvTa1UyItPWWzyii7FbJ2zEU3dp1UMHGnIHjObZl3xDEeXxdE7rYh6lh8GLm2NTYkmFp5r8inr5ZLLnjxvCgh1EV7U4n5iIcyGGWycZuHYAQAG6oN4vqyVjj6fb7r11aQTIvexa9d5vPxFLwLggb2PcO5GAX/sO/oYn/mc+NLkhAy9ufaiqwh0n3asAfMn5PtuuHk7/qLsDw7oLj4JIxxX9tpxHIPKXDiei03OTuJkraUfRvi+z8Ki7H3ufuBe3GzwTbVKqvcpVXCHcRzQ62ZtwhUXydP9vdur3KMDSzxNhIdrRcZ0nTvd7DLXFl/aXitRVao9cUpdJRya6kulehFVR6LsG1ZDuXcDVS+f1pg1dirFAtViNtjNsqqv143LQc2ZSionUXTgyJIce68dMqJNpULRY0l/O1BpENc4OfWxE8Y8viBrydZqmZpKRnQ15an6LtUJkcO4+uJLCULJhQ8ePkZLv3fP52UK4vNZ5AL40hfvZcs2aaR1Z+SA+92IXizXOurHGFf3La5Lq/nNm4Nnk7r4d8DLv8G/vwLYqf/3Q8BfnsVjWbd1W7d1W7d1W7d1W7d1W7d1W7d1W7d1W7f/4nbWEF3W2ruMMVu/wVteB7zXCtTifmPMoDFm0lp7+pt8M5gI8LDa0RscHmfzVqlCFwpFDh0RVNSddwqVatvmLcw3dQRnLWZE6TarCx0WVUx1QGF6QwNlVvV7tw9VONaQX20lllE/g+aHZKjgptJqyhh6Wo33XA9f25hpkhIqXPTIilQep+rVHGHjFzw2l6XqvdDqU9JO3bNHpKP0ssu2kGjXde7UKnqYFIpuxuygq6KqI/UCkSLXChYqOhLVS6UjAbBzULo1p+I+C1kHa2AcKoKI2b7rHN6iNI53/9O7ASiVQrZsOheAw8eeIdLS9GWXX09fz+3Zg4/S6cr1js+gF43UrwHgiYdOMT8rt7a+ZYhHP3sYAJONak97GFXlS7t9yDrNfmlt7PlZmUirXW6SM1A+Zu03SfK/nZw+BK4KOZYqCTWt3h840aSjI10HtUM8Ui+TaBdvslrIR9uuxgk7lLLR6kQ42rVpZV1qDKF2ajzHo5iNUrYJfaXFHdHuziRVNvuC9KlVC1S0qh+FKRV9xLNBCBdODeVUzM5yJw8AiWtp6+852qEs+C4DKqA5VvI5b0pQfTONNkY7ewcfEwTWzW/4Dq69UoYX1PyA0/MCj/cqNeo6TGHbpksAuP/eh3jh678bgP0Hn2ZpVZ6L2295VX5XfuLtP8jKgjyzt7/+OwH4TP8j/NMd9wHQO93l3HMEFfFr7/4Xfv3nfhmAnTt2yr3Y+yyFwiAANrWYjD5jAxyvQNJb4GyYtQmO8chmFFubYDI4vuPmopcmE25OLGi3yQkSqlU5zuHQMKNUwEHF1A8PVXMN/clygVi7TI1ewvYh+b1WN8pRRq0kg1uTw9QD16eYifJGMX29j6e1yzntwhTSsfIDj0omIB/bXNh3WVGsU8MDOQW7udjBz/TLjaWVjVrW7nkp8Ohp3PCtR11RZwby79iidLh9jVYujtm3hq4+M1EKLAtVaFnRakGxwUte9V0APPXsbhqrglr6gbf8JPuOKIJiaYFBpbY+u+dJAF7/mjfz1h/7DQDSlgFFJQ2fs4H9u6UD7yr1zUb5cHNZfvKuMjgZJZbn38J+jyOH9wAh/a486yZwzhiaAVbjb68j18VzXaxSGqJ0gTf8qAiGbl6K0NuGMsEYrBdzBPhEtZiPkF4JE7ZVNDZ1w3wWSHZPKxh6Xfld13g5ZN/aJEdcHe3oWG7fMFUTf6rXipQzOEYMFUXJzWtn9YKpGr6iU9pLXTxFE8RGBi4AuBqbyr7H694s973kF7hll3Sni5UNXHPLq/UCtr/GVd3I0AveLN9xag4i6ZAePnREfnd+loOHRMT2ku0XP+eTdz/5SQD2HnqI7/351wKw3JB1+tTcMZ585+flGEyBWNFvpR1b+ei/Sou7WJJYevzYcQ7sk277eeeez7PPip9u2DDJ3PwSSXSW+o/WYtyEbCE1noMx2fj3FPSZy/qfadTD1THmbsFi1MtrXTdH9A5rXB0ZqmagR6ZrJTLO2HI3YqtSMprdEOtn65wcQ91aOkrdMKnJ40IYJyjgnEPLsj5s8R02amwqlwpUlLpv45Si/ngWFzZtrOMZ+d3FhS4lRYRETorNhJDVl6qFgE7mz7hMKPLCpDYfbLBFY+a+5SbLrQYAO0ZGaCn1NTWQdgRh0lJ/dpOUF157c375Tx6XvPQ1t74hf+1TD34BX9eC2666CRCJ7dm2XPfX/dgvEYZynsnQEM/edUo/mVFDY0qaNyVxzOiIwO5a7RaBrrtnA9hlDDi+kWE9OtAgxeJqLmT7CUaf9X6YDYLxMGVFugyWmRqTcRDd+SarTVkjh9Q/RoZquHrtx8qFPMA2ejHbhtSfOiEF/Y2WMjLq1tBTf3JSh3oWC5OEVP3z4IrEhU2+Q8FkYtl+ztJIE0tBY/yK+sWmzQN57r00137OWtfVmIfGx3rRy/NAmxrGFZ3hGYetI4IWGdbPnOh2Oabon64FT98btmPm5yS2LETi88/cfw+7bn3T178pagcPSvziayC6fvytb2dpXoYpDAz6zOwTtNFBjX/zh/dTVrTIajuiVhsEwE07rNo0z+2fV7MWm4QY18kp+mfK4AuTQuNUTm10cJQya4yDTcTJ3eYADd0YDWvuMjJYyxHv09VSzo5sdBO2Da/5Ur7Oab5Rw9BrqS/h5mjUxCakmtMfaOg65xomK3KfSqWAWgZjTKHkZL6kedPGOiUdQLK60MFT5FpiUnoZWlxz8Yrv09Z8P0kME6WMoptSVYbRDkUSHWmFhMp5e/bAfgaUMrkSRszPCatiZJPsk4898zhXXHojAO1Og3//siDeX3Xjms+88JobePCBOwG48zMfk3NzivzOH39Irt98lS3bZLDBvONw713iS/ro4LglYmXjOMbJ909JanOq+PNvFpP2aLd6HDggKFHSGGvk3kSkZLrz+XAx6+TIZjeIcQIdtHKix0pb6c7ZOjdQzvf2k5ViTjFsdFN0LgkJNmdsthVF2jdOvs7Z2KGsa1A3jLGKcj2qyKRNvkPRkf1cuRLkdGdjbT7YYlHz9Ys2DeEjP9xZ6qJAJ1JDzuIoqLxMJfBoKKKv7LlsGtZY5PtMbxAG2f4FySNXggpX3XwbAMceuZPDh44B8KIXv4arbpHXP/NZYXOd/zXvw3/MPvm0MHteceF0/lrLiegtSz73wz8uyOd3/MqvnYF2TylmdGBjcZWttvoNtnT/NzW6poHjZ/z3CX3tqwpdxpgfQlBfrOvnr9v/qT3Hn7KovG7r9r9h6760bs+nnelPnmparNu6/e/Yc/Oms7BBXbf/v7LnrnXrefi6/e/bemxat+fL1uPSun0z+08hRm+t/RvgbwCME1jjFrFpBDo+enV5eU08nJiiCpPu2y+cYeuAW5EK6QXnDPG9F4u+yx0PHclHnPe1BDvgexxWkbYN1VLOJU7cJO9iFjEsavcu0AcrThOq2gVPV1t5JdtNHOraIXG9QQBqFY+GCh2P+lWWV7SabCx+Td574wXS7Tp2ukmiQnClepUDJwXl0jSWCRXMjD2p+LtukUnVJ1k5vIeuCj57pYBBbeMnWsXe1g/4rjd9n/x9zk7e/1Gp2F/0wttxWyJG+NbvexsAH/z0x3nqiWcAeM1r38QX7/4sAL/927/MtCLpwn6HWBFtrnblkl7EsVnpXL/u1u/hc3eK1sDi7Gnydq1VpIJTIFC9hV73TLe0Z6Crnh97jj+5vsVJBc1lsgXXBZt1vX2MCk6bQtaqsHn3+8LNZV4/Jr51x+PzuapLJtA8UAh4dkaQbgOlAsdUeyMyhjkd/1p0DEvqTwV3bcRxXREuaaNNkq51KWsqLmgGhcc8UA1YzUZbJ0XazWyAQkR5SN77knFBY62shJw+rcLbpYBFRfocXu2ySYUOV43+VuLQSeTzJ2e77NwpAvN+UGLvk/cDsGuHoKqWnn2C3Q353vnZGa6/RSrxt33Hz3GbTks/9ohwuY/PnGZFO+G33fhSTi+uqQgupvIdW7Zs5pHHRUvnAx/6e/ncoWNMnifPbsffyDP3yzjjHnDH330AgD1Pip9uGJvk+Ims+53KYATAcR1c5/lD4HxlbEqTGNd18jHcxqgYPqp5lzWy9A3WpDmScGxLiTedJ8L7D+w+nXf6QtVnq3sOhxelSzU+UOaEdhNTDMvaLfLNml5JUTto/TilpqjRw7MtfF/bUKnJhSqDEdWXKfu0VKttiCLtlmomxRF11eC7TTvxyyt9Zk6Jb3vlQo7MOdHpMaXdzZb6UpK6+YAOpxvlcdcNXEymL6bd+QuGB1lRzYTUpnRUB6PiWcqZJouiAE2xyt+/+y/1GOps3Srx7wtf+gQXXLgLgChss2efdLk3TkkH8rOf/TyeqvZHHZfq+KB8h1PAphqTsrkRa8OMgTTPy421z7vS85n+5HpFe+zwMUFJZZovOPnwEuO4GL1/scYr13Goq0bQpo0+l6vg9u693fyah9qdHCgVOTDbAGCkVOCEasmkxrCka13gGtrqTwWNw2GaUFF/CudbBIHqziVQ1S77xiGJTfVKgZauC8NeibZ2yPtJwuCw+NNLtkpsWmr0mdFYGVQLLKle4eFmj001WdP7qj9mMBw/Jc/3zP5FrCKhi0FKWYXpmbjgG17rLdu28vC//S0AL/gO0fN68NN/81VIrswOHJZ1cW5hlpk56UQqUIh6UKVblY72Uw+uUhsdBMC1llS1iqJIkZT9MEej79u/B8+Xa7ncWKFQcOn1vuFh/4ftubHJt7gVoEse/RIHcqRrmmthGtXrIIZUES3VCcvNW2V9OHmqi6frWzZgouqZPDZtGipzfCkTkl7TvHGBjmpzFdSfU8dhMNOJW+mRKnrBNyZHvU8NCRKuUgloKoJxKPBpqY+GaczImFzDq8cEmT6z0GVRj2dwqMLyqlzUI6shm1Ug2KhAtZOmtBWB43ajXO/OdUyuCZYqAm1rqUhHfa2/0sz1xZw4oaq6nV29Zo0E3v2uvwbge7//bTyzV2LQa25du0cvv2btP/YvCRr1ySce4v6nDwLwyP330o8kHqXtHgVFrg0MSwd+9tRJSmVBno6NDNPSoUH1ep2kofeI58e+0p+S0MF4cY4gNo4BRaedqW1qXH0e3YQMVjU46HGeL/fv6dMtfF0DQ43vNd9waE7u33Al4JSisFwMy3rfPQd6ioZSIBmpY6jXM22vXq4Z5hqHqiL17LD4U7VSYFWRM8OBT0tjUxhHjI6KP12hz/HCcp8ZRTv45YAlza2PtftMVcSfQo2PnSjJUTi0I0xJ13rfsFfPqaSC1jtqRQZ1IETiQFtR2pWiR6DPZrslvf+N5+zI70UMaJrH0Ff0137i236Sr2eedSirzuXhY6epaCjwsvzSr7G6ILENS34M9foEK53j2OepKPXVsSnAOIloYMqRkGZDMzB5vmR0L2Wsn+udFqvwymslbzp+rEugDplpEFd9OLIg133zSDnPwR3HsKxaoL5Zi02ZQH2MZUBz8Jlml1h9zXMd6oqi2jw2KL9R8ulEa3lTS5lCURozOCT395YNornWWImYn2sAEFSKLGvedKzdZ1KRKqGT5V2WTk8ZFr0o1wQseo5ol0G+R91Y8DAFhRUFPhNbJddxEtiyQ2L6o08+DUDH87hG4/0Fmy9n++avXiuf3ftIjqC7YKdo487OLdNoiz/G0SDotbpoegd3hjK8LNHr5DoOVndENo0lX9Ir65g1zcP/U3uuL3m2H8X4RZdY9bWLpTL9jEkRm1w3LNvv2X6I0T3r5ReV+aHNcg/+6eElfD3mUH2tXvY4rM/wWK3ASc2ZsOTaVWXPIdR9VUnvUZRaRgble2ebXaK+aqu6DhX16a0T4sO1sk9Dc59hv0xnVe5BmPQYUF968TbJmZYbIXOzsn8qVIu5/uShVpepbNiP5ouR9elYRQd2Ik7NybGvBB6r+nuBoqSHek2e+MRHAWj2O6B74OMnTnHRgiBCX/rtP/QN78tX2oE5WdNaLcnbLtt+I488dS8Ar7jwjfn7am7ApmlBdFVLcg5Tm7Zw6oSgEodGJ6hVC3r+K7R0ON43sv+bha6TwKYz/nujvvbNzcZgIxxfHGfDxCQDA+Ik3aRH7MiNdTThN1WoqZDqldvq3L1XLvSGoSKJCr3Xs2JKmuTC1QfmVhlSgdFev0+qCaLre6zo53xNdJJmlwvHZBOezC7klJYwTClpUjeq37XSjfLlYq7RxNeEoFh0cVL5vmMnsuJIwGJbhRiThPEBOach38MqTN8kOokq7BNE4gylgoOXrtFqlnVhHhmTC9FPGhx+5MsAXP3qt/Kj50vCdfixj/DEF6VosO+UPECfOnGMc7ZcDUC56rP/hEz6Ct2I3U8qlazfzOIu9ZJscj7+udP84Ft/CoAvffGLHHpGEj1hNajYnk4XMcYlykaXuQ6kCnl1bL74nRWwq7VKk0whOxbHyalnJnAxmuwahcEXRywbhuVodg2U+dw+uU4TQyX6Or1iIJt4lEZSzACONtps0CS7sdLFKv69UvJY1uQ4E3NOm12mx8SnrYEwyWhfFleRQ2MZxLwf4+mOa6nVZkQLvcYxuVDqseMNAOJorcRjw5hA/X6iXsHJppDowrpsYybr8r0HjxyiqAn1eTsGuO21Qon64mekeLnr4ks4sFdoYTe+7jvo2yy0dJjd8zgAm68UqPQjH30/P3H7D8troxNMjU7pe9N8ipwxDt/1xrcC8Ohu8bHPHD6OqzDc21/xAj7wcRlosOfAHgItemcTTtudDqPq6/Oza2EljUISx80HCzy/lkLSI+51cUtD+lKIyYSDbYqjgpxZccepFHHKcizFIOaAUpanRkqE+szWM3qRTXJx3MMLLcY0wV5YapNkxYuyz4rGhUTvbdrpsWVSYpPjLeYCy04KsS72g7pJ64QJVv1gcbXDqNLOPN+lq/SQIyclNiXRWtHH9qN8GtZYuYSTCdN3lSZrEiq6G0m6KZFukGueS1OTglH1550XXczIsGxYjy4vMDCxDYDx8Sn23C/0sfZ+mS42V3bpaFJ53a4L+PLDkmzdcN0NrC6r+HrR58jRIwC84bVSdX3bL/41SV82PKboEjVksZxtpbhBQa+bxlccshN9jhi9OUMw9yxYtVbjBS+6lX53iQcekcJylFgc9Se/XKCbTezU47CFiCSQjWXdn+bIAbkGE0Ml+rqRG1C/MEmI0bXycKPFhqpS6Jc6pGU530rBYzm7DhrH0hZs2iD0duMu53TFOLa4bjbpR6dxRglGi3BzK21GtADquW5OhTysa10aJTko0oQRGm4ZKxdJlQoY6fPvDJSxicTaDZumKBalCOO7Lo/vEYrYdE+GqoxNbsI957qvur4jV1zP4WeFet098iAAky941XPe85H7Jb499NCnuO8BoSamYYinvl4M5Hze9rMfp1KQ5/EHfvi/ceqYJHVP3HlPtqyQRgq3d2ISMiHlAKMbulKpDlZoDmfDDAmu65Po2mpJcwVt4xXzTYuNdb3zDZ4OefI9i23K8zk97NPVZ25Q44chpaTP98GlNhs0bswttEjVF2pFLxdpzs5weaXFFRqbDpxcpKNUZ2Mtjh7HmNJ12lGSN5DSZpeBTGTXdWjo+rn/iMamMMnvUafZzWlHo+Ugp5W2lV7rlgoMZrGpn2LzCb3ksamu67Y1hrI2AsJygX5LCzSk+YTGbFJdcO4OVjUW/90/vpOqUu4+/MX309dJo3v2PcTsaXlG/1IFwf/i6WO888+k8VgkoKzizwce3Y/VGLy8pBv0oEKzKeexOD+bDxrYOL2Zgm56m5wdMybNh68AWONitFBlikWsFplwxRfcoIXxssnOltnjStUZKdFpamzKmo1pgtWc5tBym3EtXs0vtsk4hOWix6reH6ON6qWVFldMSd504PRi3tBKkhRP/WlY43snSrC61V5udRnSRrXnu6xoAeyQ5k3EZ6x1vYiCJrvj5SKOUt16KpjfSS01pZUl4VqmUQrcfFDWNp3w2OpHDGoD9amlPuefvxWA2bkZAj3/lk4b+5k/+XXe+Xt3yDHy1QUugJ/97Z/mFS99KQCXXHQZAGPBRP7vqU0YLMhvl/pFTp2SWLnrXJEm+ee//yV+5md/AYB//8QnWcykAlZWMcY9S9grC0iRy2Z3zDh5M9x4viQrSM4KgJPkchTVUZ90Rf7ePFrIfWkwW+dsSlHlH/bNt/KpiqfmWhiVIKkUPVa0oZMJ7icrHbZPS3Fq/2wDq2MVY2tJ1N+y6YhxbPMhTourHUZ1kELgezS1eHn4hFzLNEpyX0r7IcqwZLxSwmiBtKVTOfvAtE52TPohXnZOjmGmKX4xrXTYYtHH0XjeKxbotOTJH9+4jeuuE1p0eVoa048uneaSXdfkd+DgqT1yHcplTpyUtetXf/On6Xcll0i02fj4oSJpV/YBmyY25FPb3/kX7yLsZQ3CTBzf4OngnDhK8+Fmxp7dIT7GWMEtaC4yPjXJ0RNKHktjEiNxx1WKolNxqQ7JeVwyVufTB+S6bRkr01IwwoDeMBPHJHoe++abjGjBZWG5g9XkJTHQUx/K6ra23WHnFvGlZ08tkZqsOZgSqh5JVoiPQktqM19qMTYgi3DguXS04XLkuOZM4Vqp0PYifDKKbgWje70lHaLRxVJVZ+uENsearPZjoqZKjGhONjlSpa/SMU7ZZ25Z8uP40B7CD4qk0a7rpOB18W1v/nq3Ird//PBfMzS2FYALd8n/vvYnf4Yrz30BAH/y3jv5tV/5fwG4+oUv4IpLLwNgZUmemcWFZTJucSFwGR6WGkOn2yWOtcH0DTo6/zdxfh8FvseIXQesfHN9rnVbt3Vbt3Vbt3Vbt3Vbt3Vbt3Vbt3Vbt3Vbt69tZw3RZYz5F+BFwKgx5gTwK+gcbWvtXwGfAF4JHAA6wPf9R77XdQ3VeonV1VDoi8DAYIkF7TycOH2cWKkL3qDU8SY3T3PNFqlqvmJ8gL/dJ6inrYN15pRCkM0LbvUiytrZXLIJp7QLPl0OaGj3KI6zLj85yqHg+xycbwDQTyyhvu4bWAwVYq/n0I8tg3Ud59mNcyRUuexTUMHmvmq02zjKIfGxSYi04r/aCRlSwcNIv7/iBsxoFXa0GNBXOOJktUxZO2Wr2v17y4//DDOH98trB++nvkPoGlHc4fiiXMunD4lg/FSpjKsY50eeepgkkdLp/j17iGP52wu8bOI1BUV0ve3n/18cHZ1+6MARYhVVtbaJr91WVzsioXVwFFZZrA3RbqjIa6+NX5EOXZSp6z2fZgzGcbHWyUVVrWUNZpuuCYcbkwnAWl60Wbpi1w+U+Ncjcs2Hy2XmFALuKi2q1YtQ1CudMGJBoaUTpYCGdpZNx5D1ysJsPLjn5XB94xlpEwDWMSxl9zuD1SaWyQ3iwHGcsqQXattEjWrmT9ptNkmcCxZGTpqP3PYSS6wCwm6GoOslLC/JuU0NByw2pIK/NF9g/uQRAC65WgToL77qBYxvFGj9oX3PsnmXCM8nq/PsOyBiyx//rHSpm0dO8LFP/QsAr3rFq0kVyfc7f/TL3HydoL48p8ypWekybd1+EQBbLmyz/0753Y9+5GM8cL+gMTZv3shQTXxuYlyQQKvNDkMKFTbGzVmpxvURud+zUOM3BscLwBhSfS4cl/z8jOOQZhBqRcGY1GdiWp6LH7l4gi/sls7TWK3KgqIbUHRNux/lFJpuEtFQdfHJWoEV7RSnrTVx975296pFjxOL0sWykFOBrYFGNvRBO5RhahlQ1Gi/F7OoXc4dUzVK6ks97UaZJF6jw9mUWLtYTmKJtcvt6XvjXkKiHdHAQEepicM2oKaIj4Yi2DaffwEXXn4tANdMbgQnA/5G7NgukOb5f/5nAK467yIONRf0X3uMKzpwz9693PRC6WJ2Ow1efpsgdQ4el16K9SHVEd9etUA/VVpLu5c/a6nSpMR/tJPqunlssJY8ZpwNC/s9jh7ax8mZ4xhH1ovx0WHCvsSF5fYqxlUoenbt8bnwXLkGL5ua4t5TQh0frxVYUN9zFE3YCZOcptWJYho6vGD7WIXTK9KdTVoWT/1JwwM13+O00maT1OYIGNcxLCj9YzRD00QpE2PyHCYJLKufnjNdo6TorK7GPDdN81jZd2wemwJrSdWfCupwK0urlCqDADy77xh1pe8P1aqUrDxP/Z4c4+lje9i4TfyG0wdho8SYj7/nd1htyHm+/+0/DcCNr/hWNn3r2wC448t3sDAvaNDrr7uFp558DIBmq4WvQt+veY0Myvj8Ax/ms+97QM4jirjmsisBePjBh9HlEmPkeIaHRmm2xN/CXpdYc4V2u8PU5Abay2ej/yioiTQFR33JQt5yTqMQJ6MsZj9vE+oj8u/fdckm9u6TLnLNL9LTuOGUZNHv9CMiHYrTDUMaSsfZOFhiReNU3LG5oHdf72e9VOTYvHTQo8Ri9XnyXIcF/dyY+lI3TtkwKmiMdjtmVWPI1pEyJUVIeTqAp9vv5ELBsWs1C4Eh36Wn1zvSjncrbFOuyP0sBW7ebTepoaKiwS0d8U7gESh9qNvuML1F1rzFxTmMxrHOisSY/uHjjFwj9KFmp0FBaUnWBpxWBMWOrRdw+6tlqMJLv/N6ACa33szn7hDaSHt1iWcVEf0zb/tJbJJJZWgMSiI4AwWTod+XlxfO0vCeNUtTS9ErEGe06tTmlFzCPo4i7jL1Z+sUufxyQVG8dtMGHnxcBkGMVSt0MmShIus6YQzqI50wyv1pqlZkWWUawrbNhyyFGpPr5QLHF2StS1KDVWf2fMOifq6eyZVg2TCy5k8NjU1bxiuUFDnUU38MbJoL0IcGYo2VRJZUf9vJ8rFetEbHR4ZXgdDNRhQ19shhQW5v3zTCclv2K61WG6coaJnyYMrpGWGe9HTy1eZinc88JIjmbVvP5egREYh+8dW35Pfk937hD/hKe88X7+bZ+0TSYX5uPhc6H7rtFuYVeX/f/YLGP2dLkaERWW8thrQjz2Z5bIwkiknOynpnMLhCi8zQrGmU/23DHqacURZ1HQ4cJlQF+/svmuKxZyU2jdcCurpQmSxv6kWEysDpxBHLCv2YGizSyH0pJdBz6+uzVS/5HNHYFMeWVH878B0WdW9V0gU0dQ2jOnSj201y6tn0WJmaxpl+RolO0vyRjRxI1PeJk3wtcHRN7Pci2opc81JLUyVOJgfKDOv+b0kF04cLAZkGfhzHWN1PnZ45xkc//mEArn3Jt8pnHr6Xe5WNU64OstqU6/db7/kFfEUSdjvdHHrlVUb0e2eI24KEb/sdRoZkH7Rw8mQusZPlkm5QJtHnxNp4TRnGwtkZ36NfnwrqDldlVxbncXSYiE1tLjafBUjHT/nWqwRtdUvF430HGgBsqBfQS4vVhavZj/LnvJtErOi6M1ErsqII1jByKEVZ3FGmRcXj8JxcnyS1OXo68J08ngVZzhy4DNazHDzJ2T6bNpSpq293s/tiE5R1SWzS3H9snOYovOx4436MLh8UXIcVrW0UfC8ftNdTX1wKI0L3jD2jSmTMLy+yoHvChVji+zv/7UP8yV+9/+veD4BXvvr1zM+Lj20dPk++t+bzR3/8FwB82xu+nZ/8yZ8H4O/e/VccflZkp44fFbmI27/ljTz9tMSoA3ueJNQJK2ES0223+GZ2Nqcufvs3+XcL/Nj/6vc6jku5WGV1tU2pnC1SLY6dkAsShq18ss/AJg080SKvV77y/QfmGBsWKGC/G+V0jCiSBfbx0w1iDTIbgoBAE7mhWpkNg3IMJ5c6+Bp8hrVQUx0uE3jye5cFBXYrHN2PHEqaGA0VxXknJguM6DSjk80wPwavH3G6LclwPZHFLaj4OTzbb1naGh8Gq2WcujycyWnZHMexwwaFePdTg68Q7dD3qAxIQKoEcu77T7e57nX/A4C5vXfz3rf/BAA9c5JIA+SRkxJUX3TjOXQVBtppL/Gql30bAEW3wH33io6S6xgCfXhD3XydOLyf4dpG+Vyrl3PJcSpEcUbVk5eM5zA4LFSzKIxwlXaahCFJ+M0d+X/XDA6uVyKOQ2xGnSQm38FbQKc3eUoxq9ZjbtOJFfce7zCqkyzDfpiLtvQUjnrf0QV6GuynyiWCbBJMucyYJmmzq10c9ZGNSh8yhYCa+stlm4rce1CSniQxVJRWOan3enyoyIBuvJZ7MZ7CvINWhMrCYPRCR8aSRcaChcVeRsd1WdSNRUlPvegaeqpdMu857Nokx9NeOcBSIsXHp+/6gnxvUKXZEI2a1KYM1sXP/vV9v0MSS5D84t2y6XaTJb70WQmMd971AQoFnW5nLZ2OBLD28hFaGhiPWPlePIOjdL3mchusPGOHDuzj2hfIJmFlVSG2SUpfdfCMY3D12ZyeHGd0bJKnd//HWNL/S2YhTVOMkUVeXktII+Xxux5OUWkcmpE4RYdXXSBFutOzHcaG5LpFvTifiJeoPsUTsyskGpsmC0W6WrEcKpdy2sVCq5fTEad1qqdXLFFWytiVO4vcs082YgEOg6qplPnS6GCRom4OFroRru4W3XafRJN3N/4avpTCsvqS73ss6abX16QnMCYv/neNzWlFvTTB02NPlHb6Z+96L3/54bd9jQvs42oTY7Ej129keYnmovjBlTfcwvCgJGTv/9A/cOK4FOqbqw18xWkng1IIjZshVpe/uNXhOVlYpgeilXvH8dfo09bmUxczisPZsmq1yvUvvJ77HnmAZkdi4NLiPKEWyIsVj/qETKuZm5dNY3Eg5KaNWwBYODbLuK51USfK8j5i3UA8fHwx102bKBVJlEJTCny2j0oyO7faxdG4PqUw/cQrUNX4fOW509y9R56loucy7Mvr41pkHhssUNLf6yTga2xymz0SpZMFmYaEY3E0oSxamM20SQoBTdUTCVtKH4lTPvURoSZeevULecVP/RoAhz/7fvbtF4p8pPe/vGkXn/+tXwHgogsv4MpJoek0Th9gVrVbVrpyvF/6939jj24wK6MbePIZ2Qx88KNHpXgA+MbB6ckzcM+jUmxfDTdx5bVCBTnw5NMsLUrsipMIVydsZT7U6fWINTYFgZ9vdAqFEqdPzxFF2Tr0fJqD45WB1prm5Rn8EWNNJkuJozt6x0t42fmix9dfihmsyXn0+2u+FJ0Rm1J9hqZKAaH+xFAxYESLSLMrPdB1bqvqcrnlMiWlJl60vcDdeyQ2GddhgxaGNmgcu3AwoKDP8aIf4em0KrPaJ9V42mtK4dI6Nn+mR8oBJ5bldTyfFY1fJY19cT9kZVXpuc6aNHa94ONWxOczfbrFMCbSfMz1XGZOi6+Mj9aI9dhO6YZm06RDe+EIIFOWr7lGJubd/+Cn2blDmjf79uxl90PiY+dfLvIQN77o2/iNP3w7AN/2stcxoxosnlcgyrp9uhn3fY9QN0qu65JJQ1lrCLRBygpnxRwsftEj7K11IE2QUfNdHJ0GmRW/ivWYmzYJjW5xpsu4rnVhJ0I/lq9du081cr2ZyVKBRPemQ6UCozqZdXalh6N5+LbMn0plypk/bStwz17xJ8e4jKkm22hNPj82VMTV9WnZj3B14+u2+sT6vUFWCDbkOoklY5jVRDwoFmho8SEbJBe4Tl6IjMwZMngOhErPn1R9XerjnHOeNCbKJ47ypS8LRf3m63Zxya3SqPnz9wp9+sbtBZ64/x4APvbRDzAwLPTxJ59+hJ96y8/y9ez7XnQDf9eWZ+mKS67mu771dQD8+u/8IS+6SRqVw5p7v+CW7+dVr3wlALt2XZxPh3Udl8SknB3heIsojdozNLrM2vrqGGya0Rj12as6fMuFsrdoLiRsOMOX3MyX9FifmFkh0j3WdKlEX/cyA6Uiw5p7nG60STU2bcnypmo116K8aFuBe/dJo9czDhs0Fg6qVtfYQDGf/LpYCCFr0rRCokymQn0iNTYvhBaNZUaLcMWCnxfQMi00z3FoqRyK6zoUlc9vHUuia/CAOthymODp87NpyxRGAQLVSkBXKYhfvFuaMZsnNvHP7/l9AK664bWcOC2gh5m54ywvSS5RL1WItNE5tUv0Tu1DDUxW3ItjWrpfTWySryeOnxWSrBbigTOKmMYYjOZez3sGZS3YFOMXQY8jMW4+oROnn0sFeCU5ntFpj2vqcjyPnIgYHZD9SL8b4eXDM+W9T8+s5Jqjo0FAqo/xUKnIqMl8qYPVwtHEkLyhPjKYT8e9olriC08J2MY4DkMapycH5b2jQyUKuq4udSOMxqVCp09fU89A/SM1slZmrzV6mQxCgXkV+8xkQgw234OnDvmEU0zKkjZ3qxqfji71mRgeBMB1LKYvi8h526dpdmQtdSpSEL/58gn+7QOik7tt15W8+z3/AMBf/O6f5rdlabHD7AnJx86bkgr1r77tl7jmPdJ0jMOYSPPaTjdig0qX7G1KLnfHhz/E7bdL3Dpx9HAuE1CpVokUVND/Buvc+oiCdVu3dVu3dVu3dVu3dVu3dVu3dVu3dVu3dfsvYf8ppi6eab4fMDm9lYWlBldcfQUATzx2P8ODglhaWompaHen05Wu6huumiTQrtdjcytcPCIV26jfY6aXdYgVKTFYwlWY40qrx4hW9OebXbpaLTXIREaAmk4pmGuF1LRjNFQNuGRU0FYr7T4DWk2+ZLN0YE602jlUe6wcsKDTgSxpjnTIodHGp6PoiDCMKBeVduA6jGyQbquv3+WFFqcr1fjUJrT1nFdbIZEKZV5ys1B4rnvZG7HNI/Jez+OIVltr4wXuulc6FxvHpQu058gxBo2cz64Lx1iak9LpRRffzKmTgrY5ffoAiVZZWyoCfey4S8VTNI51qKmgaz+OSWPtcvhyr2ya0G4p5DyJSeO+XmsHNxPV5vk3ixU6mCUXZsYxaz/mOaCTRzztprz53BEyVtn+lRaXjQj6IQ4tJxWRFCraZmqgSFPf3EuSXHBwqdPLRUodx6GuVf1MnH+hFRJrh2Cg7HDphPhOux8xrJ2BLaPSxWoCvqLwxsoBi4sNAFLPsKqILC9vlJm8UdaPEuETAaHrEGrn1dFuQpLCoLZabQgtnQoVeQ51X7rWl73ydgBueumr+Nu/+EMAxjefQ2NF0A/WH+Bd7xX01mUXCD32HX/2Wf72fR8C4KIrLuDtvyEDC3bs2MnRU0cACNyY+/fcp4esAxoOD+QNRa9QJkrk9SuvupaJcemKPhwJvSiOQ5qK7nJdj1gnn3X7ffbseZqeQl+fXzM4xhOh+6yLm0S5QLApBKRKX3IV0Tm5w2GbDqn4zOF5LhqW2JT0Laebcox9vXkTg4UcEdGLknzyz3K/R5gNGUihrBOdejqMorXSY1h9aajscs0m6d6uhCHDhef6UiMOibWLN1ryWVrUiV+OYaX/XF+yQKq+0o+TvAPbTxP6iti0+u8pKUOlbCYpeaxILDkiINYuWDFM+d23Sffm5/7oI8+5wm/6oZ8B4OoLBKH78KOHueZVbwHg2WcP0NMu1i03vI5yRWm5juGW214DwKc/KxNj7/7CkZxy51lDr51RTT1yWEQmSn0GjcLwFUKqGbrrLFiv12ffvn284rYX865/+jsAoiikoF03p+jRagoFpjQi1/mGS7cyauX+fWZhhQtUeBfjcLIhr/eU5jc1VKKTMY3imIoKRS92eqQZPMExlLNJVwpfX+70sTopbLQacM1W6b61o4hBRRFvHhF/WkkjfKW5VQsey+pP1nVYVNHgQib0j/T1QWJTRldMSEXBFkg0FjuuzQfFHHtmN3vu/DQAzz69D7siCLMVPYUraz5MC5LEqw2DdvSD0a08cP+XABgvZcLG23jZbYJYvuCCi/n0vYL+euiRz3PXveI7A6UiU5u2AvDMXpliVRi8jIt3ydCEO/7hnwhVgLjs11DGCx2lIHTaKxQ0J4iiHiWdLFQoFGRYyFmhB1lsEssULKu+7gc5ehHHJ+f3aRO+OuUwrOLiTy612DWoyvRRyMyyxiZfznNyoJBPTe3HlqqiA5e6vXy9cV1DRaeAphkKodWjpvSp0WqRa1Wwt9HvU9drtFXztdU0IdRu8mjJpamTFG2SsqrUwgyNmlpyJOJiJ8LV7rXrGSIV3M2ml4ZxzGhV7kE/SkkVlW0ckyMaWtrad5I4Z1et9hNKgbx3OXa5/6Hdci0UzXhqqcnMwhMA3HLrjXzwQ0LX37JpG3v3CjXDJ+V7vu9HALjnnrsA+Pn/+Wv8/k/8KgDvfe/fc+GuqwAYqo1x5c2XAfCJT3xcbkUU4SiSxFqbr48Dg4MsL0lsOCtmLUmSEK72qdbk/hSDgIWm5IbesIdTkBzBr8u9ufGKKQY067l7ockuRcJjEk6vitMF3lreVFbJiChJKatvLbX7+SAZ1zVUNOe2en8W2yGJIt6HywWu0Zx7uR/mE4a3jMrvNm1MpPnaSNFlfl7XZs9hWdekqpcNkjljrUuSPB5VCoaFVaWbZQy0NM2Hu1gj6yFAM4yhITluSwdQXTDUoaMIwatueinLuo6fbLT5t3dK3jSoe4xPfv5Onjwte5rzLtzO9TfeAECv1+Qjd4s/rM4f5PwLRHA81PhZmbqBORXjXmm1+Kmf+UUAvuWNb+JHf1CEpH/wv/0cALe99JXUdW9zYN/ejD3K0NAgJ0+dPgNx9XyaQYJPylriHa+BxxxLPgJZ90fj22B7dl2WlzlfBbtxUmYamoNnedNAIZ82349TaiWVSuj11gbzuA7VquYnmvPON3vESvMeLvlcPi1o8VYU5fdka+ZLSULYldg0XHBYVKmI1HVY1vtbcc/0JT3L1GIzpJeFUCmzWShOrWVYKcCeY6iU5dg9Y0myAS2aw5XShEifjdOrXbxYhz2cdyXv+rN3AnDBZqHwHzxxlOp2kRe5777Pce01NwPwkz/4i/zLB/4egM0T03mcLvpyDI7jYJWtstxrsLTUkAO1KZ4OOcgok9i1KZrGcdcSJ+fMBOp5NmPA+NhWCIMZjzMh1bXAr9Rwy7JulMry2v9zUY1BLYU8s7DELo3fhGm+znU1Z5ocKFHSPVpiU0p6Txc7vbXTc5w8LkUaw2ZX+ow4isAruLxwu+RMjX7IgPrSNkXRt0lJlV0zUvRY1LiUuCafRl71s7zTCE0TCOOUVK93ksZ0dO3Kprcn6VrOZBzywRjWkg/UaOl+sOxZwlg+303B6lCBmdUOjz4jlOnzlmWY3X6/jDcmdYdbX/Iqvvd7hB77V//057zsJUKrfttPfA8XXCpyDjdd8woAdj/yOL/za78FQK1Y4ffe8Q4AtoyP5PuZF90ifnn33Q/QWpHYd+uLX8lV11wGwAc/8CHKJblfh1f28/VsHdG1buu2buu2buu2buu2buu2buu2buu2buu2bv8l7D8doqvf73HwwB6q1QEOHZAuxZXX3MBTTz4sb4hjfBWbi5Q7/+VDK1ykldcNlSJHFqTTNB341FTksKD/PlTxc6G4fugQqW5TveDn4qWNbp+DOm7z0ilBR4wUStQUCdZJDKM1qYDW6z6eas8cnJMOW9IPGdEqbmRB6dpEScKIVoKXVChuodnPR5ieWrYk2glabUe87saXAPClj/wTAKbfoKcaJ3HfYpR3O1QO8g7UUw98DoBv+5Ffh5J0uyZ2bOX27xW5tJEtu9h3QkThpgvSoYhSiFypmh45dYCkJ8dw4403EXhS8f6bv/5jAu02kGjXoX6K/Y8Lssc4RVpt1cnA4qgAUapIm6A0gNFufdTv58gmp1DMOx5nzxwRms9nwaZriByb5JxuxxEfuXepx5jqTk1UShzO/Mlf86eArBPi4Sq6a7mdkGi3o1rwaStCphXHdFvy97mK9Nk0UKWg3cSONQxqV2d8pIyvCLH5VenYmDimomiYdpTgaecxChPK2pFZ1d+yhhytESdrXe9uv09Ru2WpihiWHSfXF3OtQ6epncuyQyYxsW+3ICL2HNjDd7z1bXJuAzX+9C9/V76rNEZV0Y3f9sZvAaC/ssCPfu9bAfiXT/0LF5wrlf6d527n6T2PAjAyNML2TefIsSkSYmS0wqGHpfM+c/w0VrU6KpUB5ucFbbZVtfgOHthHr6/IBeMSqHbQ3MwsFgebnI3OpFgah1jtFLtBgaw1aRIXk6MFxE8aTZdWU0WVh8ocXRRfmvJ86hpDinqPqkUfo9/VjNMcgVf1vFznp5lE9FQgc5vGkm0DFUrqB21rqCmyasNoGU+FaRdW5HdNFItYKtCKkqyBSpwkVFRfbqW9piGUCfHKxGztePeiXO8nA4xUXI9uvIawysZkFzwXT4/NVSRLr+BxakXi64fe8zvs2CXiladWO+y85DI5j2WJ/QtzC0zpAIJWuEK5KJ3do8f30A9V588mvPNvRUNg61ZB3Vx8eY0nvqgi2GmYP9sGA4pWyoTm0zTNh4/YXD1DEBRplMW0599832d6eorPfuEubN59s/T72RjvAFtRlJ2qjD565CgXJ+JbO8cGOano20nXY6Au51XQEyj4LkY76H3j5GOzS65LW32rlcS0NTbVFN28eahOSTuKfSwD6meTlTJG48yiIjtMnDCo62IzCvO1Lo4TaupPq10VrEWFWhE0aYbk7XRDFnXcelHXaSdNc6SEm1g+9F65v2MbNjA6KbplL79WNI/ufOABatOCzHrR5Tfz57//q3Ju3iBX3vRSAMIDgh694sKLueQCQdDsmz3Fq1/4WgAef/IBzt8pOiUvuell/M6f/7peE9HX2zB8jD/4I+lwFoIipbKsl43F+dxjsmffsQ6xPq++62MVednv9alWy0Tts9V/tKphkgmPJGSTcGy8hjy1KsDVnrdYRUoNFwNOLUtnedLzGFRf8hTeVAx8FMRFO00E9YKgGLr6dyOOWGmIH58/oT5TLVDxM8RznwFFfI2PlUgVhT63LJ1cL0kp6XO4GsY54q/kOTmCbEbHwRcDj1XVtikXvTw2LTV7JBqHsud7uFwS8XOgUvByRJ3jGFxFcRc0N1hMUxrq4w6GrgowP3JynmUdpnHehMSdOIHxHZcDMDE1zcZp0Sb50Cf+kde/VlCDS3Pz/Pnf/BEAz+4V0fmbLnkBx44cBOCi88/l/J2CVi4WAh59VBDLgSIn+70OaaYpO7aBnh7b/MISaXL2+9jlcgUnG1PfbmbziIibMUGm3m7kuuw7fYprx+XZ3DFc5eSC+NOU7zGgw5l8XU+KgYfjZGL0lsRm99rNGQ6tNKaR+ZPm0xvKBSqar4Ux1DU2TYxXSXRNnm+IP/mpJdB4s9Jf0zdK4pSqxpme5kIpkGq8kdVA3juz3MEqMjC7D/WCT1PX1aJn8PQCjQ8Uc8H7QHV3TjRa/OQPiy+MTW/l8YOiSfPwvn0sKbKyrtfRTwxDo7LfmJjayImjch6vfN21OUrzqutuJFLUx9Wbr83v02U/LHHsd9/+W5y/Q7St0jTmi1+SuHfdNYLu+cX/8eN89GOCDrvq2utpteQezZ4+hk0NZ0ejCyDBpkmO3DKuj82SiMSCIsQzBPXc0YT5aTm2zUMVTi5mvuQzoHmTn8cmj0j1QeOUPG8qe16uFdxMYpor8vp5ypoZrxYpZb6UQF1z+/FKGVfv78ySrHOFNMXXeLQSpniZhlKc5L7U1f2jIOGt/m1yFk+z08sBbVbj8lApoKOaUOXAo60MpNF6gSCP3fKhprW0dEtfarbxdU/wh//0fo6rZuSkzocoxFG+Bg1WSzzwgKxdQxvqBAUdFDJYI1C0TJYvv/b2q/jAX4vOl+eV2bJ1KwDzsydzxHL2nBijSC7AGCdHYtqUr4DFP5+mw8XiEHT9YKCI0XzFBAFY0Tw0viCoPrCc8lpP4vhYrchJHbQz7fkMDSgCSvfS5cAH3cN14zQfAlT0HZqK3OukCS2NS5erqPxIoUBV/TkhoKY+NjZSAdVlm19uAKJZavJBHHGeMyVxQj3b5/UzxpfJkckJa7Fmpd0n0e/IAOK1oktLY0PFd/P9pes6xNneV9fB6sQ4Ezpo5Y1v+m7+8j2it/XBL9xJV/eBE4uC4mp0IgKtD7zmO17FrnNkzfu+t/wAh4+JRuIrXvFGLtUY84VHBal64PAz7BgRxNe73vke3v+vMmDqda99A7O6n7tFEV033HQTCw3ZE7zhllu5VweRtTt9Du8RVP03sv90ha4kSVhpLOP4pVyE7MnH5tiptKg9ew/QVxqK1agR24iOBrfKQECk0796GJJlTT7VGaolL59cYIxDIZvaYiyjumi6ZYe60jnmQnkoRusVHN1BBNYSajI1d3KZFQ0Ag0UVTI0ss1YW3a3DJdo6BcT14fiivF5VAdd+YjmuG+HxwSKzmsht3baFp558RD5XEciok0RUO3I8vXpARadS9dptzrngUgBOLUtx5PGnHuTSi0Q89+mHPs6+RyTQfeKv/4LzN6tg84qce2X8fA4cEdHVoD5Evy0PyNNPPcZTz0iBcXhDKX9YOssqqGhTKMi5jVZGmZtX0VQnwuokniRVGGinh6vC1sYNMi1HjPFJbCZoeBbMGqw14isZxwSbCy4aDKlCQG0qG71Wv0viScFlcKxIrPSNZmyJG1ngU2Fnz6Go6d9qP8bJBflThpTGuNKLc6j7yVVdvDe4BEolCozNBwQsH2/Q1MA4qD4YJ9DTv8cqQV6QDY3N6WYt9eleL8knWw0UfZJsSod1clh4xBqkdViPa64f0tHAWXVcQivnP9/SQocbcddnZFKUVyjw+ltvBeBn3/H7/OLPilDqwWcEWvrhL/0FP/KjUky97MJrmDku9NZ77rsLX/2l2V1ky7QExqPHZWpjc9Gj0xZaUq+f5CLt+/ftw9PiRLUuUPJCqUK3K77uuuAbpcd5BZLkLPmTQQrKSbQm+Gwg46imaQ+rC0mG7jYmyBMAvxJQyBdRm8emzCq+g6+LUyuK8HPBUnJaYKu3RhFsaLF8sFrC6r0tOiYXtzx9dC4vgNZVzLkf2XxhHKsExFpUjY2loTy3tvpXr5/mCdlA0csnLVpjKCo9oJclP8bkvrTQDxlSqlDR90j1WnX184u4bHPl2E8euJ+qK0nIA0dn2FiT14/PyP1ccKrc/6AI+K50Vjh1QhbWXrLM+efrWCZCxjaIX+x5Vqad9XsJzoCe2yJrE56sxTFZQpZdf0t2E5+T5htnTZj+LFi73ea+Bx6mXC5xzrlS7HvqmacIdCBDaJx8WIBN+nqkEa4O0vBcl8qINn1iC4s6KU8T76rvkujfs50EL8koQWsiu0sLIWMqzntaCx07JgNKegw2jHE0Vp46tkBTY2VdY1uUWPq6lo2WvdyfEgeamrS31J+6vSQPwYOlAolSSGMLQwNyDKutvp6bwdXjtYGhpJD8OIq4/eel6PXRP5VhK1uuvJXrb3tTfl1/7Gf+TK5vb5FCU/zhU58eBODZZXiVvu/c8SlOKaXq5S9+A/fcJzTa9/7bn+Jp9jlQlUJXp9MgrMq1vP221/D4k0JNW5qfzYuoGYXPWrlPABFWJ8FKvuE4nCW9Z6EuyhhYeSkNLU45W/PSfMNEkPl9gqsbz7GRCg3d9PbTtbwp0OswUSvke5d21MnFcj1HKKsAy13LqBbI5hoS5wcmSxilnRUMoBvLU0fm8inXFV1Lk3TtwmwZKdPpiq/FJmW2KX7R02e2udqnoL/rumubk2LgUdLX55akYNyNEkbVRxtRzIhKLBQ8D6P0yabGyZkoYlp9rVgpYJWasvfEItdfMK6/Lcf11PIqQ0dFEuLCSy/Kj3fL9E6WFiSRX2icYlwpK53VnQDsO/I47/9nER2vpyXecLsUQnzPxXWzcdxCozo9E+ZTYOcXlvINpHVr+FqkS85CLd71fAaGx+n1OpR0Wmep4OeUk26vT7ioG16ND51uRNYiKdYKFHUd7sZgGxqzdH2rBm4uDt6JIlzdaBpjc8r+SsMyonSzWfWnnVMlPI09LhajAwtOHDqdr3WlnI5o8l3gYMHNxcIdz9DO8iV9rddfi021YoDV4m1ioaj+1OroQAPXMKXx6lSrx3njcn9912WuqzlyFrtCm9PgHvrCHQzqtXrikce48Xzxp3JVCp1Huw5//PY/AuCv3/tOpsa3AnD86AL9WPYNcZLg6f7mkjMKXZldfc113PtFoWDP3vklFmdFFPv++8Tf7rp3N4WSHO93fvu3MTYm8e2d73o3Cwsz5MnM82zSDHDW/DeNWZuO4ebF+axBaOM0ny5dqRWI9L1RAqnUMXA1Nm2oFvPDPr7aySdeewYG1JcWl+J8aMYppdefO1nA8zMSIaRaeJ0/Pp/n1Rm1dSlea+oNlYwcCCL5kE2Y7WfT+rprjfR6OSDWvWJqHMpKoW+2dRq27zChReDjKz2mlFaXpA5x1nzT3G42cbj5YqGt+tUarXYDgM898CA3nS/xotOV4z240sc/IrGpUD6Xaln+/cSxwyyvCjhhpXU3l18sTZ+D+47Kaz0Hf0C+Y7Q4wtSEyOeMDI3w8CMKNslRAvn/09uaFb7PSIqfd8sGGqR4WhSKO1FehLa2i3XEv7M9/3K/S9eXBunEaJFFbSx3ooSko4V3vcaVwKWkDbrZTprnIL4xDCkYYXmxw7AWRQ+eltz1yh0VnKzYZlNSX/xn7vgiy0pBrasvhfEZTZjiWpE2dWw+0KmX+VIvyYfrDlUD4jgDNBiGNW9bVCpvYmBcQTMzrT5VzccD38unDuuMHR49fIIXj28BYO+zTxCvCEinVhjipp3iK7sufIEcQ32S8y6RWHPfA59kVoenfObOf2dAReU7vQZ790gRf2FJcvQHHn+aB+MGIEXTstZPfN/h/Askdz96VBralUqZw4ePAHDHHR/hd37rNwD4ibf9HFfdIMWwh+9+H1/P1qmL67Zu67Zu67Zu67Zu67Zu67Zu67Zu67Zu6/Zfwv7TIboyS6N2TtdZbvQI/IzGVMHVseWNE1KFTItj/LtWyKsLTVYU0u4Mlgm0ejtcyQQIIya1gn7OsEtXRWUTk9LTaqlvnbx7mUEF2/0YVwXkCq5DVal3h8IIX5FKDe12x6nJaToHltoMKuXP8WCgKpXgY9pVmB6poEV+urEl0GryqZMn8WpSTb/t1tsAePSz/0oXOfYoShjYKFXRSqFIXTvwL/nBXwEgzNrLwPLySY7MigD9+ZsnmR6Uiu3OawRW+MiRUwQVObdztlzJtq1S6X3sqY/z6FNSxV9ZbuO5WcVazm3xGKRt7eB2FnG9bOyslzetHasdE+MSdwQG7ATgqAhkkjiYs1b9B7BCTTJBjuoQikfWfl8bnd2Zl6NuDbnMqQDswUPLNFpyr7bVywSKTsnQVq04kY4SsMWUaOlAg4SUvrbWx+ql/KcL2oVYavYpahfLZe1B7UUxBe1UNbqKbvB8EoXEN/thLlTYTxN62gHoZxB8k+uZ0wzjvCNf8FyKzhr1DKBeDPAVhTjgWGI9yDA2pKHCrcvSCdmxZTubdgrq5JlHPs59fXn2vuuN38ILbxAh8BdeL9fpne/9F47PSofo5MkTnJyXEdb9ZIV+W/oTAwMbuPehL8j5ayu1ZC/l5mvEpw8eOcmp2Wx4QcTMrMBoJzN6kLE4ei+iJCGr6RcKRbqd6Ox41Bluk/kv1sH114RpU0UWZLScJCryBaXpVRoxq9oV3lwr5fdmUEfcN+OEzUof21Qlp3CkKfn47LGBYt7JLGbi4e0+gT6TLjmLmX6cUtauf1PRBv3E5N2kdtTOqa+hTeln3SQd3JE64Gew+36CMtTwHSfXG+0pcqVW8HJfqmLp5mqsFgUucljpAOedu5PWjCBIx32X4wuC+Lvp8ktIl+U+X3qewKNvKm2gMChd5wcffZTYSAw559wthKH4x8iGjZw6LmjCpUX53mOHejgdvUeE5DCaM6DgGexenCWLWGtx0xhyYfOzYXGSsrzSod1epaBxtFwOMJ7Ecs/vYT059+aiXKNk2OdBlbItHF1kpSXdvC21ck4Xzda6ZpywQcere46h2c1QtgmxxoKJoQpuhgZUdMv8SjcXrjdxtCbqnSSUde1tKerUOF6Ohmn1IyrqTxGWnna6e4oCSY0l0OvZCmMyvdWC6+JlqJ6i+M2m0QGanTUUw9hmQcOsLM5z4t47AHjtT/wOAE89cffXvL6PffFjVCOhdJT0fG9/7Rv4y3/8WwBe9YrXs3lE6P1T9SvZe+gZAGYWWiSaF5w6Lf4U201sLEgsvPe+e9nztMQ0x/e/KtYYx8lRk2mS0tNrNTE8jeckZwclaAw4ro4U14E2NiZTmzaBKw80QKrruO/yd7vFr64crdLUtWtzuYiveVOGqFnqh2ysC9pgq1OloflWmqZEGnDG6kFOUy6r4PPMSpepjH7rgKuJVS9NKCsdsZsN40mdvAt/eKnFgAacVhTnqIlEkT9haqlpHGyHcT4mvuC7hFGGRpPvr5c8yhpj3V5ELxvGkljQ396tUhWQstST39o4UKIZZXTFEWpWfVRROaNDdQp1eW3f3qd41avfAMD4pjoPPCQ+udpchlSepXMVtbnw4BC/+GMvlms2toFf+WXJ2RYX56lqHpfJD7iuS6rIR4vNY7fnGuJ+m7Nlxhg83+eGq27kwBHx9eWVRQYGxAc6C62cLhouKmK3ZHlMkdfxvnmaugZuqZRzGtaw3odWnDCqa91Gp8JqN2MJWCL1kZFakPthORsKtdrDU4SM64CjC3I3SSkGz/WnyJqcHt1LonyNjBOboyRCXetiu5a1NnsxRT/zYy8XqXccRYwFLo7+1litSCfTUU8tt90mufpn9sg1u/HGF/PMYfn7oUceYL9SVs8dH8YqmuTkkqAaCtPnMzgitMPf/B+/kd+Lv//4X3LoqCAE73/wKBsnJH//k6Mi9PzEoYS//eVfAuD//eVf5UWf+oQcT2+Ou++UdfHyq18IwLMHDvEjPyLo10svOocjRyVPW1pcoFyp0eqdhdhkMxS8S5anGVijVVvIKB6ppuOm6PKPhwQZck5hiKbu6TZVSgS6XmWxaSWMmFQE+eZ6iRWlGKeJJdJEZbxeznOZbJ2ba/XYSIb+spgzfClD9bQ07+4nBkefvW5iKeuxR3FCqq+HGRPT2Jwm2+xFBLo/9D0nR61ma0Yl8HB1TzBSLdDWOBeGcT645VCcXRTDQ08L+2Hj1CizK5L/nD82wqQOsFpK5XinRodISvJar9vC0Vh58SXn8thu+dyO7RfS0fyhpJIQ93/6UWjLe8+77DwW5gW9c+DAXjKzqcZ+m+K42QAiJ4c0G+PkrJKzYYIXc4gVMY4HtpMxKQzo9ex25Rg6cUqvJH797P75PBfeVCrl8WWsJteqn6YMKu1wCsNKd22di9WXJgbL+ecqxTUR9+0ZJd5YHI1h/SSlrutYW78rtA5OthfrxpTIfCklAzXrFo04TXHMmqSIgllxHTcfeJD5Uq3kU6yoLzmWpW6GNIyp6NCiEzok7vKrruGxJ3fLv4cLzDUEmXbh9DBV9aEDuvff9MJXsHu3sCqGRqb58R8Rts4Dj36eL31ZqNH7Dz3DQw/J38uL4jO2fDUn9xwB4NH77+ANr/1+AK697jr6sZyTk4r/ffZzn6fXEb88dNjlh/7bDwFQro78h+oD64iudVu3dVu3dVu3dVu3dVu3dVu3dVu3dVu3dfsvYf9pEV3g4KgY9c6dG2k0pKNhiHAVTWVUxPHEs0coXyXjxbeODlJwpDrZC1MyvcyNE8MAPHFshqFsnLrrUNLKbFD0cz5/px3S7csHJ4e1A9WLwFNetYWjy1Jlr5R9TipHNtNSSKzF165tbAxdFXcOPIeuCkmXtTSbGChoF3RhpcvQyCAAnu2xvCTohk99/MPyW4FDZVjGx7bmlziyfx8A1173Qk6vyjkfe0KEBC+76fb8Su644Eo+f9cdcox9m4vflerSzf7+N7+Up4/L9b3+ihdw58OCtJmdb+F4GR/b5GiWrJRcrRtaCzrKPfBzXZfV5blcTDWK5Nrg1HJEleOsCfRiY6w5u2661lzQcrgNIZNVte6aQKYiPBZnDUc3SVX70vEi+7T63o2SXN5ky5R01R4/fpoJ1fxwfZ+BDFnjOyxrJz+KUlI937qiv8IwIVSh/oIDs1rtL5Vcjq881596vYhR/VzJd5hVZGGSyPhiOQ89ScfkwtpgiTIEkge+DjLINEz6NqHfVwRGmFLRznypXGBF1TYuGNFx8AuLPPS4dHVuu/nbiWLh+TdmT0Iifrj/WUFPfPtrX011SPz0fvdBvuM1InT48u95ITdcfyMAceTQ7YvPHdeu4szq43zqw/LaG7/9+zh3l2jT3XfvvRRVN6VaFS2mmdmFXEDTGIdI/47aK5kaJs+/WUgtxi+C+qxxAe30kkQ4GexJb0d3pseRMen63LChQnEuGw6QUNA3bZmS5/Dg/Dw2a6h6LoOZDphjWFGefztMsdoNqQ+K30VRQhSJTxiz5kvVqs/RZUHZZZojzV5CtZBpwxnmFGFmjVkbxa3H5bhn9FIMxHaNY58Jk2Yd835iCRUJEUUpG7SD5gQeK4pIOEfv4cqJw2zcfgEAM6cOMq3aGPvu+zy1ovzGxguFlx/0V5mdzbquJQJX9W66Pcpl8YWws0h9QJ7HwJXXNk6f5viKPmus5OgDjM0hb1lYsNZiVQvrTHUJ+czZQ3T5vs+G8Q00Fk7hOtJxC5Ml0k4DAMdzGJgUBEW7qR3ixQLHZ+R5ecHYJIVMN6kbU9D7s/EceW6ePDHHuMYNPJe6oqVcL8j9KYnSHLEwlHU1+wl9HfTgpinzisyoFj2ONcSfso5lsx8yNSTHGLiG2UzHxnFyhGDmT8ZxcryctTbXIPE8h7KiAT3tmpYrDjMC3qMSuHQU0eb5JfYdk/HX5UHRnbnokhu+5vXdtWWax+/XDvglrwNg/8Nf4MILrgPI0VwA//qFf+Wxx6RrmaQxL7v15QCMDW8F4KGnTjO/V/z4i3c9vvYj1pJmCEi9jkFgMGZNPyrsZ9qVAa3WbC7m+/yawbiBdtuT/LVs/Dupt7aW6/+EyxbkcaE9ljKmz2c3TMnkvDafJ/H/wOxcNsOH2HGo6f0KApcl1SDtRBYF2zBYE3+O+xGJIuVd1zCjyIx6OeCgotqNxqZunOa6Ih4uM+p3kYW+wiWCLPdzHOJ0rYNuFRXsui5tRQJafc57cUq3rbqUcZxrY1rHYUkRG+dVxYcXuj0W2/L5kU7IqKL/R/0KddUlnD0ga9+WWhl3g6xzE+Mb2TAqCPyDRw8wNy/+6riWmq5Zqw1BQZ+Y3c1H7pC/fb+sKDyxTGB4Ylzy2cNHj+drjUOaoyvjcJWzaUkSs9pYZvb0aTZOCsJ/bn6GhbaiyBKDLapmo/p3e96lqUjI8WGXEhJPumGSPxtZHv7kiVk2yCUndVwGNCd3PYcV/b40Skk1ZxxSREIcxsSq/eWkMKvIwlop4Kjm4Y4+X80wYUD9yXUEGQiS92dsEVe/3zhrel7GkudNrufkGksZAhHH5AMdkn7Koq6x9YEaDz0l8WZE43K4eIoPKtJhtGQpqtbURKXAiIqqH1V/soefydEfzQRq+nNvevWP0EfQDh/593/l2FFBaXVWJVeqBuN8y3f/AgA/8AM/zPj4qF6rHvN92Rc8/NC9cujFId71btE4/PznttJYkZztphtv4EN33JGLqD+vZgw4vooXZjqfcCZ6Oqc8aPxP2zELPbkWl22wlM/wpUy7dXpCzvPQ/HyO6EwTD3UV8aVM5y9NiFUvOItNvV5EFGYao5aGvrdW9DiS7en0eVvtx9QL2bAXw2KGtjcmTxg8s5avZRqu1toMVEu56LGi62OGfE0AnQWDTU3O+PACn55ei0t10NLJVpsjOvCs6FumR+QB2uDWGVam0PH9smccSCxHNUQUgoSJHZsAeOSxL7PcaABQnT/J4rxo4t7+6u8AYM/hRe7+pKAOH3nkUcaG5Rq7bgBRtrZrTpHG5IOYSEn1fqZxhOOuaZ89v2awODheIMMNAGyQ6y+HJ5YIpuS6eIpyW16JODgt9/zq6ZSnTkoM6/RjPP2KqUnJmZ46McuIok5Tz8013oy75ktJaokVWTyizuYCseqoeqTMaVwaKPkcWspiZuZLfQYzHUjPsKhxKTZrjBGT+ZLn4OnCGyeWRM+zEngsNGXdzXR9EwuzTdWy6yUirA/YwGVW17kLhwcBOH5kT64jePDALDffIFpty/PzjBYlZjx9Wtea+SP82M/9kV59OL4scedDH/0AyyuSpN1w44sp6CG/7tVvBuBHfvYXWDkm5zlYhI99/N1yDBfdwqium697vQzRMEmXmXn5rmeffZJD+wRJj1/ltltfxDez/5yFLuPgOB7tljypc6cNq11Jbs8551yMwqOLSqsqTllu1oS+Wiiwf0EWBSexeUB5ZJ880PWBQh6YAs9Q1AW26DpUVcgttE2mp8TxW1qk8sMmCyviRKtRSpIJ1rX7uFrEmFLKiE1gWTeCXcfJN7QYg+tm073UeXGYWdWCh2do6GSGUsknSOSYx7fJptC1IY/vlUXuskuv4txz5SErVQZ44eUiHOfXhOqS0MPVws7H3/d3bJuWyXcXTRR45rh87/EVOd5DX97Nxo3ieP/80X9mVDcAh44fo6tFlbibomtNvnGZn7EILQgsAR2dghkUBvOJOiYXmI2pqDCudQy9bqbWzVqR5qyYkUXUJmcohEdk9A4AG+kTqpvsQsnlUj97bQBvRhYPk0BBX39kr1zDgaFCLtIdeC49DUS+4zCuC+qp1R7j43JfQp2m4XSbdJRicSpMMcpfnVnp4+j1mFJ/HC/4LGngnOuGubipbwwFFabGyYpXJk/MHCwFhdi7nkNPob4bh+W4LA6LGixNMWB8WBYIY6wsbECi4xd/4C0/wmMPPSrHNVTG9bcB8K4P38GRIwIxn77q9QC841fezpvf/H0AHDj2LHsPHwLg1ltew8FDMkHju9/8wzy7bzcAPS2QHDrQwValYLHS7FEdUEh4FOHoBqeixdTJqWmOHZICW3a2evA4boEkOhs+Jb5k4w5WC9lp6OMEKhSeJjgZbUiLX9ZLuHB0EIDtAyX2z69RNAKNTY/tFcHYyYkKffWPatGnq38HjsOGmjzLp5pdJsbl+yLdVDjdVi74vdJPiZWueGqhmdOMN6lw5VjBZ6klsWmuEzOYDeAAigqxdzVr7Cbkk88MKb76vuc6+aTITKg38Fw6mjRW6mXKKtyZWIuvVKlsQe8aS6hQ+OkSzJ2UTeFY2eXwovjj52YeA2DHtu1s3io+EWPp9iQB9ZsOi/MSC8PQ5oMuTp+WZ/XwkQ5xqhtp4+YxXwTos2wiK2KZtUKYvEn+x6yJwJ8Ns2lC1G9RLpe44lIRmX12n8MJTT7DsEdXRbiz4ojv9JiubQVgslKkl2b0JZtTYR/dKzT14dFiPuWwHDh0smKA47JBE+NTqz0mNTZlBRvTbdLU69WKU1B/OrLYzJP2iZrc3831Yu5P3XhNSLpgDBXdGNqcPvTc2BSc4U+LKjadFbxWW3DRTlmTtu66klh9a9eFl1G/4tX/oes7fMFLcJ6UeHPelTc+53+/0t5065vodsRfXnj11fzj+98JwA/+vtCD/vWTP8u5W4V6ln7hy2trCYZUnz1HzydJDLWaFDcc1yMM5R4uL58mCsP8mXq+zRirk80yimKKyXjsabw2CSvb3GOYnpJ7f/2OMQ7ohtshpa7TEZ84IL44saFMX+9dyXPopNl3OIzXJQ87ttRh49Sg/JwWppxei2YWm8KUQNe0w/OtvEkzpBnySNlnVSkoy72YSlb8BEbV37Jie4xHos+xxeYTIV0XynrOw2eI8bZVVqKFT0kpc1GS5HSlU5q7rIYRjgaLorG0ViXeDPgup7Wg9/C8+OLkxBhjHTnPoZFpEn1GZ2Zn6fXkuSz4NXY/JYWOclEm6s3OGspIUv/yW27k0Ud35+eR0VyPHhc6mzEONp/gBianzJ8ler6aYwzFosfp2VMcOSaF9X6nS5zJzRsXerpeVOX+u4FlsCfP0M6xCfYrDZ00zte6R/fKBmZktEioBc5y4NAJVXrAdRlXiuzxpQ7TE3U9XV2HOmtr3WqU4uv6dXShlZdNxjW2BUWP5VZGFzL50AQX2WDCWnOzbx3SbAK1AwV/jSLa16Z3Rp8cqRZZVX8aG9+QDyEoVcr89G++Qw5iYFd+LX/qB14JwMqR0xhdNyeHBrny+lsA+Pm/+qWvuv61M/orRaCIXOPN0zvZ84wO79HfHZnaxpt/QQr5f/Nnf0Ooa+To+DRzSm/ztMCWWvJhNadOHSPVPcID99/NuefsYN/Tx77qWJ4PM46RxqTmqQawSpEyrivi9Kw15Izvcs0WufdbR8c5tCKxyUvXBmTs1j3dpukqffWJsu/Q1tgUmDVf6i932Kh7ukgp2qWwk09KXA5TikqFfHqhTazP3JiKjg95Lg2lRC4izReQ2JQN08jypk4CkeY6gQu+/rvnGsrZECtdJ8vFgFjf28Sjqv7s+W4+7fNkT+LOShznkhF116GtQzHiTpduXymR26Xp01taYLsW2PEtTzwlufull1/Fxz75QQDCHsR6rZ7eK7n0A/fuzeNqGPZZ1mndnW5/rTiXDdx6Tort6NROMG5hrcFyFsxB9i6Zz5gEHAVWpMYQNTSuTGhRqBpwvVLkTlZKGEdis29Nvp97Yp/sYYaGS/n5VQOXVjYN1nWZ1Ibe8eUu05ODwFoasLKwiFfMqLQJZV2vnpprods8JrSwXakELGpcWkqgqsVtz6Z5Xp0NSegmhn4/aypbfC9rDhpq2rD2tQHjex4d5Twuey4l9aUE+NGf+UUA/v0zMnF1fLDDkQcfBGDH9BSDdWlABL0uR+clZtSv/HYAtm3f+pxbvWlIml9/8qvv4ad/66cAWJhZ4bwd0uiZmZVr+YlP3UNrVq71XAPe8tafkc9vOYfhYcnpn3hMpisePXoyH6K0ees5HDl6BIDLr7yeCR2I8I1snbq4buu2buu2buu2buu2buu2buu2buu2buu2bv8l7D8dostxPaoDY3iei+dJNfWiCy/kKe1ilEsu+w/JaO9+LNXCiqnzuTnpml7l9wmVhuJbs4am0qrqsaUuI9optH0RmZd/NpS0LegZiPX1VRWSXu5FOeUPj1zAt+YHpFoBzkbSll2XxGYQ85RaTSrBhcDS125C9l2dJGK0llGQYlztWEYJhAq9b89JR23P8SUGRqXy+viDD3DOrssAmPJ8qjV5fXBsUL633+PDH/g7AF79qm9hdKPAz/1iica9IpT6xH7prr3yla/jfe//JwAWmrPMLQh0dXrDdl73Chl9/Xt/8Es4hYyPJdcv7YVkyChBl0jnwTE2RyBkFA5sSk+RHRiHNFa1PRthPMUanxWzgMU47hlQV580UkHeOMapaDdEu9Ce5/LBkwLpfkEVQh1hHRiTo8+yCvLx5S6jGew+NnhKQ2iFCUZHEJOmWKVvLMyLP8UmzoAS+IEhymgvxss7uCtanS+4LpH6k+sa4kxA083GNq9pZrvWCB8WcIybow3ThFy4vqiIyHaUEOhBjHquqAUjY26TbgOAobp0/A8cOEBVq/4nDh5mqS2dHq86wivfJCKDaVHg0bfd9lJ0SjQDIxUee1LotLde/2LO3b4dgD//67czM6/dQ6UM7NpyOTe+4HoA/vgd/53y4OXyvdaQxtIpPnFUu1ynTstYeRAF/gylYAQpc7ba3dYC1sW4itxKukQ6NMCvFrEoAkg5iC6Ge58WX5rYFhEqTdbDkClPZmPijy13KQ9JLCgmboZ+pxunJOqbNkkxighZUqivNQm++ozvmzWKIS6eBpqMtlHEyX3Jcckpn8YxpOq7WdcwcN3cFzEuvna/k9TmHc+CdjHbYUJHj7FgQrrakfI8k3fKtaHOYrtLsSp+NRq4nFJB1KPdkFOhHOfRVUF8vewlr+DJZ4QqdmLhGAdPPgHAFraBkyECalijsHJFJYVLIb6RuBKlad5hFEi4dh7PBHElSkt3vLX3WkeGWJwlS62hHxlIUh5+VM6x0VggUDScJaLdk3tcG5Luduqv8sRx8adtkZf7kw+kOZVLvv/oYoeRSbnoSUw+IKUTJaTqD9YmeWd0fk5+y/VsLhpunDM6tdZdoyxqbCp7LqnJhLNFPBUE0ZpRTDIB+sIZFGPjGEwm7p1Y9LZRUX+yxQEqA9KBb8ye5twrXgTwH0ZzZXb1K77zP/zet7xaUKh//6E/5Mff+tMArM7KWrj/wX0kW8QX6oMbaCwJas4YF0f1ERzNCaxNaSvFK03XaAi9Xg+TD0J/ns2mpGEXa9wzuq8paSzoJVMuQ6pcFg1RTslw7JgIx54cKeViux4mF1POvu3IQoeRSXlmLeQ0xtUwkXnpgDFp/qwvzDcAEWDOKD3lopPTo23q5EiGMBNrTtdIlxab06gc19BW5EU2gKPXS6grAttxHJJER83Ha8M0MkTYUrtPL1Q6t+/SVXSg4zm4upKX1e9W+hEd/a1B32deY/tc2Gd/Q+6pp2L0K6vLnHu+oO1HxyqMTUmn+x2/8Ad84HMyCv3P/uK3iVS8eXHxMADRSonpHbIOLiycZvv2HQDs378vX88TFcG3YRu/pIhL6+QyC9YmfAWk4nm1+sAgL37Z7Tzy2KPM7RdUZKHgYRIdmlH16cRKEVVUg+fGPDUn63S1DSFrsSAHeGiecnShw9CEIE7SeC2fWu0n2F6Wk6d5zra4IL7rOWvxrRC4RFngwMmRuKuKXC86Tn49bWpzdGvBc3K6aCYKbRKDm32xAasH6hiHQOlkJfW906shLUVNDUaLTG6TQRnFUom//YPfA+AH/uff6HF5/PKvi3TD7/z4t7GqOeFcO+K27xYk192PyZp2w+WXfI078Vx7+2/9d4oluW5XXS650r/844f40ke+DMC3vuFbeP8/vweAhQMHc4RUegbCZmW1o+e5hmMO+wWOnThNpOih59cMGE8GdyQ5Tw+jdH3HjfM1JPNpv2j44iOC4hq8uEik60rgONivYIAcnm8zpMi/xNp8XW+GMakOaTImzX97ca4h3+WtDTMo+oZ8e4CTIz1bvQxVb/JraC0kaUYhc3MBcT/7YWvztVaGR+gznZDT+QdK8hytdkJ6Go9KrkM7VDTi2qXIBwbNxwkd3UcMBR4zikKNsOzXwU29lrAnNm7eidHcb7W/wKllQb/3H1lh25ZzANh38GGGBoW9c++9dwIQrsa4VnLQfr9PmjTzc8qRXPpsGMdhLWKD463t9fLk9SyYRVGumc/YiKSnewE/whTkGjcPC81zbGiYe1Xuw8w3ifQeVFxX+H5Aood7ZLHFiKKc05Q8JqyGCanu7w0pVtHNczNrcem4PlcjtWJO4Y8xuZj6irK8yq5LGGf5qCHRv7NBP0CO3OqmNh8u5rju2vqQWHoZpVqRW41OREvXq5Lr5OtYqeTx6U99EoA3vOH1ANz1yG4GN0zLdTi1ly/d+Xn5Xutwy7eJEHzbl/Vs5zkXsueE5AnnbxxmXo93zHP4g//nDwH4+d/8bzzwmDBTPnXnF+XzS6t4ul7c/KJXMaeDDSrFgN0PCYvjwkuvAWDjlu0szAkCeGp6I9dcdQUAS40moa6F38j+0xW6bJrS67ZIKOZQtoMHD9BYlqA3tzhLZaCkb1YHmo0YHNCpOkGCn+kOOTFNdYaiftfEYJnPH5bvunnLhjxhM77HqsLGbZyyqFokbQ1CXWuJ9aHoxjGJTnSoeAF9XUxqCkFMHJsN2oEYlpUSMWgLWU5ITR25GSXsX2kAcP7USDYEiKGyw3xLnHb4nIsB2F44ydS00DmeeuwBZk5J4rSwdJpLr3qR/FxLIM6DQ4O88IUy2Wep18cuS1Cc2rKdW18kMOceosW1f/8z/PJPySSFJ48d4LzNknh95Av/yPveJ7zaWrVGpPDPfiQLVLFqSftyL8qlMqstpcE5CTbUxfQMbZwcgp+mODpF84xSZAaKf37NrE2ZMwqbtjbCnAnBz6KSJtzNRcvkqPjLtqrLakd1iIiJwmxzLd81OVTls0fkoX3xlok8MBYCl6W2Fv6wLKnuVksTbqfoEGb0oCgkVKpdyfPyAFZV+mA3TujrQl/wPCJNIF3rEmnylkHdIyelr5DwwWKR1QzS7Th4Wmlo6Aaj4Lh5YdVacHSzb4slBpVmeuLxuwA4udJhw/A4ABddcBEXXyAaIjPNPh/7gCT1t71ZNodvfN0b+dO//Wv594V9LKwIxHzfgaeplBSOvuVCFhuyWVxOxReePfwAP/iWHwTgXz/yBNWavHdxYUYTezg5I4tXoViiWhsEYGlxiVQ36ziebgbOwnbSJtioBRaSrixwQamAcaWQHceWROlynk68ids9/LrGIy/MJ//0TUKcFYAcuc8bahXu0gXlxVs25MV0L3BZbSoND8tcQ5KabCqnX3KJoyw2RXTUscq+ny+irkLmwzQl0WtTCrx8wpXnOfnUoIzW0UwT+uorQ+VSXsgv+QZP+f9Z4u6wlne4joOjhWwbFBlUmH5PfyCOk3zjedexFoMK+Y4MvOrFwtn/0h4pgt5z3z30unK+k1ObWe3Ks7bnwG4KutEdG5mg15NrMb+o0cQJiXWTjyGPAXJQ8nemdyOJWVbQsms0R2JN5s6O2TSh22kTeCkrSvOZ3rSNMJRYcdVFV3L3o18EwE/Fx9LIJe5LQart9Cnofe1GYb4ZyKhbkwMVPndIrtdLdkzmvodjmNekzAUWVGMm19RynZyOnSQRXU2uPdfN6VmeVrLbYZzr7xT8tSJ87JAncxlJvJ8kdHQBrJYKNDTxqxW93J9mlB4yXE74yOdFV+aNr3w5ex7+DACbb3j9/8IVhnJt7D/83m4sRa3tGye58SqZJHvH/bIB8Ad8Du1/EhCtrUwTCuJ8M57RmS1rBeI07uNkY0cxmrKcHR0c4/mSVKcZ9dYBq0liP8y7IblsV9fmE1wXO6tUtXgfmpjGGYUhgPGBMp/RjcNLtm4gn3IbOCysrmlKLmgxKCtM+WfqT8UpXY0nnu/lE6+zwnonjHOfKfrummagY/KNhacU9mrFp61UwoFykVa4tp77SunIKJPGcfNnPkxSAkf16ZwCQ0rRLGrxb65j8kLKFw/OsGNa/Gem1aGihf4wbOpP+ex+/BEARiZGOD4rdMNqqUoSy3vfcPv38JGP/SMAqz25vj3TpqfFnAcffDBfBxzHXSvuaa7iFstgdJJzL843kMZ1n1Oof74tTRI6rRVOnjxKoFPIfM9lcEg2gSurjXzKa6qN5V7LIVHfcyuGguZNPRvleUpVn5HxoQp3HpOC/a1bx3ByvT7DcpZHWstClocrjd/11yaaRnFMP0vdAp9+L6N3qyzIGcXASmEtV4oxRFFG6da1wFr6upZVin7uTwW/wORoXa+K5lp1w/F5/XtomOsuE0rzgdkW+58Witif/LTo1Fz12u/jhTfdCsAbfvQXefdfSSEsKQ/m13rnDpGBOL7SoteVY9858dzm7+mObCKHh6cwOpqwUJsC4Fff/q288x1Ctb7w/F1cfa3Q1+6650t53uRpESJJkpwyWChVCHV/0+pE2DRaa2w9r5Zikx54Xr4dsEkKKguQxAZHi9JoETlc7VOaVHkI06agsakfRXlcyLSaR2s1Pn1QdINesmM8L5oWAi9f5xxrmdfYlDX9PNx8kmKSpPQ15gW+R7erBS7NmdNkjRJe8Ew+8a5vwSRZ41nBDXZNa68QFPICR71g8HUa7Yr6X9H3sJleJin/H3vvHSbrUd35f+oNnSenOzdHZQkFECAJgQADNgZ71xgnwF77Z3ud46699q7N2msc1jZ4HXDAOGDAhDUGEyQQIAESKEtX8eY0cyfP9HR+Y/3+qFPVI9YE7977h/30eR49t9XT/fb7Vp06deqc7/meggTFU11yZY4FiaSdynJXff6pY+c5tNPM/3JnnRGxeYF0WS4UC8zNmf3s5hffzMio+d3Pff4uMvHNlJcTyJ7QFdukAm0cMaBYLBKJX+X5oeu2aBM3mrz/Ot8SeNf0X19wUXi+RxgWiKTcWWep0yUogy/BOc8kyubnWjSFt+uG0ZDjMh/tKEHJRJZlP58er3LnSRMf+IYDMy5gWS4FLG0a/fHRbLSMXrXs3GntOPzmmzFSSUkh9B1HZ0m6s2d55qL1xcB3HSq7ae6S377Y1DjBnTlHqiHr4h+NlkMK4jd37Lna3xJU1ZpQ5rlSG6O9ZMAyD9xj7NMr3/QLdNZOA/AP7/tril0DHlreXOfu2815bp5RAF51223P8lhqErt498f/jkjs5CWHnsPtd7wfgLOrojMjPpkwaywuLHLp5SaOsXz+NLfc9koA7r3nbgDOnKlyw7Um0H/69Fk+8mFzn6/55lcTfx1dqgeliwMZyEAGMpCBDGQgAxnIQAYykIEMZCAD+Tch/+oQXaBQymdmcphmy2TyFxaWHHl7oDI6TSGTG5E4XpqzJIThM5dP0LQRTp3jBzb6LO91UwdFvuvcMocmTYZq74TPaGDQSWfXmmwT8udew9zDufWuKxPRGnYWhbhbK0cOnkjmO001k5IFi7I+kinT2iEoSkJM5zU6BBWB2Cc9atJhg0KZiSETnX3ilEE3PPfKG7j3bkMmF2Qp3aYgLNJxnn7sUQCuvsl8f/3MYWb3XgXA4rlTbN+9y43wmiDMrrjSRFjf+vu/x8J5k/k/eOmVfOSUyZ6///0foFIy49PtHGF81GS2vvikLZmCLDFzkWZw7fWm1OzM6ZOsrWwhm5dB62fBFRNTBhEUdVq0mnUummi2ZNHtzYQoZdFlMXkipH7DthOjZm5eSExHEwc9VV5OQbIsuU3pdFOKEqm/88wyl4o+7R6rsG3UoOvOb7SYGpHuaUJM/MTiJu2k343qgJRyeTpgUggwA9G3klKMCKlmI05dxjkMfVfemkrUO+vFaMlSRn5KaMtmtpTzHRd02Wy54IiRx2sBFUHeeBo2uub9hcggjMYmNnn9698IwPve8z5O7TPZkp5XZalnMiBvf7vJVk5O7eKySww8utFc4uw5k/WO0wc4fNh0Spsen+bSQ9cC8Oi9BlZ92YHd/K8/NpnJl7zkNjabomdZDFKmaLORUayhadamxkNZWIBSKEJnLy68aFPzJ1njuNvCF/RWlkT40iDDZuTxQ+JN89nxYoWllqAByB0Zty0q0L2EQObxzjPLXD49CsDscIkZ0Z/lRochIeSPhaTygbkNeplF2igODZt1WlQhFUHmRdJUohx6bJsyf19tx4542fM9ulKCldvOP0lKVhK98jM8GeMo79u0ZcmOjfg+VsHCUFGR76VpTkvKS+baxu50tU9HsmNxu0t5h1k/a/WIv/rQBwBYaprrTk7tIYlNhv/Y6aOkBXON/fsOcvK00ZuN9RUmJg3a8OlHDHqQ7Mu7/jhDtAUJoew7KGvbc93veIPi4mUmTUOCLOlx1fUv5J4vGHTtxvoqRcnOlgsFhopmrmIlne1aTfxcSuj8Ik1l1rKvtMvOOuRsL6MoyNnPnl5m/7i51s7REjsmTPnL+fUWE2KnliQD+NRK02UqQ89nvxCr+wQMiY0IJeNYDXxmZC/bjDLXKbZYCGhKS6NU7iuOIpQloC/0s+KZb+4f4MD1NwGwZ2YHP/mz/wWA2z/4Lg5cccP/xQj/y+RnftkgUjfq63zm858C4Pf/wqC4ZqszrOg6APX1TXQqDSiUJihJcw95IJ0lVKQpTLedk9myWO0ZBPFFKqs2qCW95fIaJeVWOuq5sjFla+Y9Rd4R1Kjnk2uLLNKuRMJ2X9TdlKIgBT8/t8bOUWOPdo2UmJXmJkuNLhNjRpdyQWA9sdSgGdsS/IC9QpDsKY9Z2dPins14e4yPGX1tRNkWZIaPFh0qCMq5EyWO/NkLPULZxyLdL1Oel0YOw75yyJayHzjb1Etzh6w4J+XT5+otV4J0YNc+fv/vDKLvm15+CW0pfQplTH/ll9/C6Oio+Y2RcebXjJ+2urZKu2X2zU/d8TFuvclkr//ufWbvK+qMs+dMhn1jo2GaZWAQpq5bmdijXJXIErPP4Xv9feXLyoYutJRKJS697FI+e/dnHbozKJdJUmOH4rgHghC1TUzSOGfhlEFpFSfK9OQZPKUd0t1WP2WdmFDm9PNn19glRM87hsvMSlOcpc0O46JnqZSvPLXcpJPYUnif3UKEr1PFaFkoQGSvKwaK7VLp0YhzSpZYuhjQszZS2dLuhFjW72jBd+VxylfE4nNseuZe9kxNc+0eo/O1QsBTT0uDqOfdxMqKQRYtCdr6L97159z5uTsBuPrSK7j5GwxieXp2F7aGYWZ4qD/wI/2XfyQliEFJc80lewH4pZ/7Ja45aPzsK19qKjN+9803c/kVlwEwNz/PstyD55UcQjAT3dV56pqwKAXa1p1qKUW7KNudQnkhoPo9g0LfQUt1lpAL4b9XdbBwIqNKjBZCNqTpg6c0oW9pKsS3bfSwXffuPLHMoWkziDtGSuyYMPoxv9FibMS8zqL+PteQ1+UwZPeQ+G7aZ6ImPpbYJt+H7aPGz2vGuTtYFws+PVfRJ6jwNCG2KK9QUcxsw4McTxCPC+LfzJT7VCVV36cmNCidJGdD4IpzQhOy2ImYFntzYP+lHNplqESe/uSn8StGN3ubBnXb7Ob0pLz2zOkF5pfM+zfddBsP3m+oa4bKFWal8djtH3vQ3Htecsi1qBdjNyudZcbvNQNv/tH0S1E9z302z3F+5QUXccmiXse95Xk+ud1jc9Dr0tHwoEXHlrnvlPE3r50dQluPW2cE8kyWUMCLUwpi3+86s8recbM2tw157JTX5zfajEiX3ki6aD6z2qRVN3NaCkJ2ytl9dChgvCYdY60ueYodQlfUSDJbSESpGNKzpf2CVtRpQmZpBAIcyi/WOZ7Y5fOiS1VwiNpy4DMmMQx6bdZi83vf/6YfdeP2O2/9NQAe/NI97JMmMiubHVrnDXq0lfdRpVvNwgNPGyqaE3Nn+dLdHwPg9OnjjMj6efhRs19lMVgn74orXsz5RUNSn2uPhQXjpw+J/d67/xBd2Ys36qvs3LkTgKPHjqFCi6j9yjJAdA1kIAMZyEAGMpCBDGQgAxnIQAYykIEM5N+E/KtDdGlysqzHwsJc/708RVliy6IPnnAvSLQwS2IX3T9dDsi7NmKrXBDaInDqWY/NrrR+DRUrQr64Q5UJK+bDY3HJoW0yyUQlKicTnsaw6NMTIuSqhq4lPJTfKm+pu/WDLQSrnqZs2xnbFtbFAC2/1e5ldDsmel8olAgdsEAi++eexpds/803vZLHv2j4k5Koy9wxQ2bcGDJtOz9912d56UsNz8hVV9/I8qKJoE5v28eE8APYf//gN3+ft/zx7wNw6/Tz+fO//XUAHn7kXm56/m0AXHPF5SwvmQzBba++FYC7PnYvtWGT5ahvbNCLhCR7bd1livr13IHjVPPDkMbmhrt3m8W8KA1pt/Dz2KyueS1/VsrVS+fSotcvaiyHfqukyNp9fVJfdoGNbtfV4Ie+YkEyw8PlgFFpYz5ULjpuLktc6Rc8ykLkVij6RKIlRe2x2RJ+I0HQHJyo0RO+kTTVjug9z3PHt5IVJStUKbAhJJXFQkgmNdQefd6dVGrtPXzXSrjeTakVJCOjU7ZLq+V875UA7L/sGj55p0H6BUHK3Z8yme7JbTN8+C6TIfqeN/wYAHv27OfpE48AMDY2xYH9hlfOD7TjVZibW2C4bAh5D122F4BbnvtybrnFEKz+5V++i0R43lRY7pOFOx6AnDi2dfkeyjMZC+V56Czi4sEmADTKomcoIAlfPK+IUsJ1IGs368X4VfPeJ9d6XNWVzFHuOaJ4LVmceqfHWsc8U60YstyQ1wWfTPiowjAgtpxA8v1iyQNJcJXCkMgSrOqMuvD8JZZHsFx2XCUAqbJznlsQAUp+q6RCIkFm5PS5a7RSpHKNUDg1Cr7Gk0zrZi+jLOgwnaZMCM/FfU1BAyhA0EM7tm1jcsj8vdHo8fg5k3m0ZP+1WpuVpuFyI/eZFSTh6bmTloqIuAdRy+hrWVCZvY0SW/NQFpWptXa22fL2kOs+uzba8XJpnbl952JIoRiye88O4qiNtX5JBi+44QUANDc3aDeFb2LI/L1WnaA2ZcbrSLnE5Hnz9yxTBBaRJ8+10e2yKRnrgqdYFYTLUClgrGrGaahScugtLc/t+x4VscnFQkhqyZ+VpikZTJs5nJgddrYpz3KbWDdcMILky6SpzMRwmfk1k+3rxrkFGBlCVrGnTx427aZf9aMvpNUyPHjz63WusN022otQ3fb1D/K/QEYnTBvrV7/iW3jgYUPqWxt+CoAjjz6OEh43rT38orE3fqDIMhk/2fM8z6cpnKJo7TLIXlASfboY/IEancd4Ydnw4WCI8rWFZOFhdy/bIEYnCYjO3HWqw8u3CQ9cBp4Q+noySxu9iPWumftqWGTV2qZiwLjsFUPlAi1pUqD8PodXrs3vVYpF26ODkIxNyUTbBgWz5QqdyHLDabQYnCjVFCx3lYAmRqsl1mSv7UaZBReRae3sQtEijgLPkZZv9jJKgljVWcaUoNvubwuxOn1M3I/9+M+44b3miqt4/2cM4feLbnmZGZONFYqS2R/1YLNlEMh33307z7nieQDs33cFc3Om2uD6GwzB7up4m2eOnDLj5MUgfkmh4OPJA8ay9+k8xQsls57njggxCMqkSZeLJUmSsrCwxFCtRqVskCNn587jye97CkJBsgfSCCBOG/hlM8EPRg32tAXpnEIQWNtk/l3vRmyIbaoWiqy3RLeKAaOCjKmVC7SEy8zy9ZZCH2vXK4WC890CldOUvdP6OUOViiNkzvPc7V/dJHP8YvaENFErc16QYlG8pXmJp4hFd6KuQeltFou0BDkzHyVMCcrmjv/9Xg5cbnhmXvV9PwHA2Mw0YyOG5+34kaf40l2GFNpXPl/reLZtu0Ey7N9/CV5q7OYnPv5Bfv6zBnk6td1wNP3DB+7mu1//bQB8x+u/k0rV6OSB/bs5dsxw72jHYaoconl8fIzz81aHlPnMReHoUgYFlOstBOJb7FAe9R2mxDrIKUHV/P3ujRaXR4KazYRHij6Ko50kNOQMVQ4CFuvG/lWLPmM1ozej1TItQdR4UuUThh41JejpsNjnLtUZDfHBe6IT20aKtK1tynMCuUaUaudlZOILjdeKLIrf1E36epcr5Zr4SNEFBd9wxoFBRJcKcm7KYFrOeo+sWjJun23bDNJlemYnsejjaK3GF4+b83JBEOB7dpfRgXneleUl2h1z3sp64xSkcml0ZILHnzA8XuUR4QNeKTk0bxAoctsUQ4HCchz3EVFWW5TuI+E9L3eVFxdc8pwsjgyKyyKoyXBrSef4gnpNxXUKS5rQN/dzqqrptcWnzRTK76PQAFaaXTYsP5/vMy/8pZWCz6j4TCO1Es3oy3Qp8Khg5qta7PNO50nGuvCcWeTe9rEyHfHHszx3PKtRkrnlF8mLoXKJtuypjXZKwTa8wXOcrOXQ+uvacT1vRilVS2DYixiyJM700aNv/h+Gf/vOT7yXrjTXuePOj+Ipox8ffaepHvuHO/6Jf//K17jv3Xr58wG4/8EvcuCgsXcnTxyjI3GXqR0GUbn4RNt959Spo1SHjO9eGx1hThDNnVYdgPm50xRL5ndvuflWvnif4Wfdu/cQu7ZP8LXkX12gSylFGAak3U6fNRVFICR+Os/dgLUSORThMT5iJnCKlM2aeexmO3FRpnhL15HdVXOt442u67TY7EFuu8hozUrbKPKwIyD0KEvZxlStSCIGUKWalmzYoVivMPAc1Hpmcpz5NWNkxqr9BVCWQ2qaQSrdCIuFkFyoe/dddhWbK8ZBai8bKHLH99i36xIAnnnw85xfMweBW194MyPDNfkN82zbtm8nUGaBHT3yEFMClZzets+Ng+2v8vcf/Bjf893/HwA//lPfxRve+B8AOPzIQ5w8dRSA6699IW/4nu8F4ImHjZNWpcrapnnOc3PnuewKc29PPf6Q27hCKZ1JswTbnkd5aguJ4UUKcFnRfQPT3xpNiQeA1oErt8kEPk07Y3i3mZ+DNZ/lmpSxtmN3s7ZznUY7fTq22XWdM6Lco942418qeCxKueCUlFuUAg+xi8yUK/j2ftJ++U9ZnLvzzR4VCRZUKgGbYoiDvF8uYzs8eoFH0QaTltuM1Mz4B0o7cvNRJUTpnu86kJRrISviCJT9kMUVY+C3z5rvX3XN81g8exqAI92EthDJP336sCstu+kFxrm/6pJrWG2YjffM/AliIVOcP3uMKLHd7TRHzxi9HiuYgJfnlfjNt/weAA8+dL/TIZ0lW/wvJZ8NXXOBUqlEt2s3E3GqLlbFmdbgeX3HMU/7JUs6c51uMktMnWcUpPzikpka1VVzGOq0ctfFJvFsSbTm0LhZpycaPXpyAIq0RyaHTE9pVjbM61nRtZLvkcrvzlYrzrHy8tx1GLNxnLl6l4maDTyU2JCDRJrkjkDVl2BGtRKKQw4r9R7DQxLE05pAovAjEpAKPI9Qnme4HLLes8T1PrGUdM8KLH9JBSTiSM4tLbJn3NiNbq4ZETLVTdk0l1YXaUvnn9mdk6RyrUv2XcGxk6YbWOAXOHbClF732luIUt32lzvnzSx9G9Gzn02d//2sIITOyS9i6SIoPC9kZWmekZFRAIqFEnNnjX3tdDskQrLqSZfY0nCR2og0yqh6RJKcSTv9wFGibYdOzS4h2z7Z7DEkTn3m+TQkOF8qeMwL4fMOKemqFn2aEpGfKJUp2s5kaeZKnYeEPPh8vUutbF5XS/1593X/zJSLbdLAcNnoy9J6h2EpK0rTjJGacdDHJDnwgX/432TS/GB1bY1QOr5erCDX6370xRw5Yfa6vXsO8k93m9LFocIoAPsPDTN32jhnuSo4vcjS3JWeWX0KfI9YArnV4aF+sBLdPyRcaFEK5RWMatvyh6Af4GVLN19sN2Dfxy/L2pwpIbE7VBI4zz/z+yW9e2T9n2zGVCUYnnuKTfGVSoWAuTXj3O6TQ0Gt4JNIS6uxsOj2tCDP3MqyjYLWmxFDoq8j5ZB6ZBu/hP1AloxrEGjXzXFps8f4qG15AKHYQlsGBMrVYI4OhayJjlaDwAUxtgnVxGqnx66ZaQDe+ke/x69Jd7QXvug2dl35XABue9k3mftdbxKJF/Xo04/z4CNfBODY8WfotI2dr29sEtTM4fTez5oS/t3Tezi435T2R72Ixqb5bJpE5OIjaSkR9MOyW0jK88mlVCjLehezqprNxiaf/OTt7Nq5HVnyeGqBESmza7U2ufRSY7cXVkwSNU4r7BD38rnbxujIXt/d7HehswFyjWa3+CanW7Ejhde+T1P2umIh5LwQiO8tS5e70CMW2zRaLFKSjS0kRypfnD6tbPacbRouF6jLvJMpdx9FSSJrD4aF3DnNcyalHFeh6EkQpSp/j9sbxHJ4rZZ8llaMb1eslDklHeFXPvYRAF75HW9gbESoSTYbdLvG1t760pd9zTl47rWGVH50uMThJ54B4OqrbuKDd5ky9yfvMcnEm95wC3ffZbqmJUlMt23ud7OxwbN9XiRiYUvTeu79gwcPcPzEsYukU7IZaL3lfrRrIOQVa+SxmWed2r+HFGrm9e6xEuWWBL2bCmWbyYgznqHZO2zm5nQ7IbU2yw/ZbFkfPGB+3Yz9Ptkzh/y+bRoplChL0CLQmbObtjHPejthWAJvY9UCax2b3PacTfdSe74xiUqApc0uYwIGUBoXqBgSu9LNpcMiMD4UsC4gjEoYkIjebZOuenOpxwtuMD72Tbe+gg+8820AxPS7Ie/dY3zp0bFxjp0zOjOzPaaSmXW70VxitWFKyKK4zflVc+/dDbtPxKDNuswyjSf+Harf1dQBBnS2BTEQYH0npS5emll5HoVSidHRUdbWzPk/TRWebU2otSutTKU5BeshE/vNvV9VKfHUqJSHrseu66pN+Cd5zg6hjjndip1O4IdsSjC+VPRZrJs1v1t8pornk0jwfLRUdkkWX2d0Jeg5ItddaUTuPFf2PBqRbbQS9vdEORMUvJQxSZQvbnYZH5b50FCQextyZw0Nkdk3JkfLrIqOVoshQ1Up/2uZhinU+lRGL//G7+LkU08AsP+aG5mUYKqVrUGurTI6VOYTT5uSV89XtOx+fFpqjr2A4ZoJ8n/769/EQw8bgvlTJ4/QElqaxHZUVMr1hGu22nRkDzg/f4Zyqb+3fyUZlC4OZCADGchABjKQgQxkIAMZyEAGMpCBDOTfhPyrQ3TpXBsSPK0JhBQuCAJHhNxp99hckWyXATFRKAXMnTRRxNvVCC/fKcTNzXVKEkV1GRztoS1Bvdao3Lxea3cZFyLxU2sNDs4a1NjCpkFNqUShbILQ8ygI5DHLU2qS3S6UXDEGPUHdLKyt4zuYtM+Q/W0LZ82gIgSt+w5ewSW7DRz58ONPcuUVBhboB4bsMlM+qdxvHlYYGzOvV9ZWeXipDsDkpgmL3viCW7n7ztsBaG5scODAIQCeOHqMH/r+nwKgJHc7vjPgJd90AICX3voqvuMbXgfAZ+66g/lzBl3wvBtu5ugZkwmYGN8BwA/+4HX8j980JY+XXrKPo88ckXGFgvRXzS2EVWv3i0oHxLFApvOUPLtIMFfzw/JfbtqM2/ds5lTntnKAgmSh/TBkfcO8/sS5FS6bNUTXjx9dYVyyxLF8qYSHDm1GH5D5aSYR2yaMPh1fbXDpdoNIOLNmSzZzJJlMGHqufXqa55QEqWPT2Apc62zle64VN8ogDaGvT704cw0PgpLvGiSUqyVyyfRbNa63I9e6uNFJKEomNAkyhiR7vfPqGwG48/P38K2vNKS6Bw5eRWvVILbqj93LfL0OGCJUgLf//R/y+HFDWPimb/sRvnCfKXlcWDzrMrtXHryGV36LKXX8xZ/4UwDGhw/zghcaMur777/XZZCU74PTEXl2rdGCTFOecnObpz08v8DFbG9s2Db7UGkV9LNeeWIRZ1LCEwR0l0wm8dhiwA3T5p47rZhZQS815dkK2iO3tkIp98jtJOGAtDg/ulznMoHyzm2YrEi3l6NEV4KiTyJQ5zTTDIu+tkQPwCAnAIaGii6jVSoFZBZ5I0O30YpQgg6s1grEct2hoZJD9lgS8U6cugYASZq7svJUK740JzovNngjS6jK7+6emWGlZf7uBz71tjQbEGj4yIyi5lmC1qYjr3zm6GMUQjN+00MzzC0bGL+O7Jrx8GRMtvRhwJRRPLtdsVKhtMd2Ocn+Ry9iCWzUizhy9Dh7d8/wna//dgDOn1/g+AlTTjA0NMZ0b6/5sDElNNeWufzy6wBYTOpMzhq9WD+2yqSUEqW+lELhg9gmrRQ6M8/VjmNmJkSflja5RGzT3HodgE43xVKBFwoeWsp/Mq2pCgLa9/s5tHbHNh7xCCxRsOdRlD07lzXfSVIsqKJQDmwneTxP0e6Y0pxyYD6QeAGTo4Yo9/ipUxRrY1/3uP7fyAf/5O5n/f+pTXNzv/PD/xMwyJpMLOfY5DhNaS+eZ30C8TSSUms8hkfN/VZrw2Qy7lG3LWUWF688SOexg296QaFf8r2l7A3JfisvI5WS5/m5NnuvMfect3vMCvIukTKhgvZcWWqaZ+SCMGx1E/aLbTqyVOeKnUaXzq0bv6kdazJb+lopoCzqAZzf1LMboc4NCh9TfluVrLfnKQRYQSo2pNXrk/QWyz6Rs01ldP5s29RLciwAN461Zb4g1vCFc6vyGbNmXvHKb+W33vwHAKwvnWd8xmS33/nud1HPDeTtSw/9NgBX3HgZ//hJ04r9h9/442xsmv2vF61z5JhBK+ueR7Nq7q25agb7yPoZksSs8UApR4Sc5xl+YMmR7Z6inbpkaewQFFqFXNzyfIOD3bFjJ1Mzxv8JwpDFRbPv67bPmROnAQilGUWpoDjzlFnHj4+F7J8y+tRsrDMhNjwRHQrx3J6V6gwthN3dKGaPNM04srjh/KZ52euaUY7FApZKfX1CQ9XqkyXPz6AtBifwfUdijlIU7D4r/3TjFF/OG4XAJxLE6/BI2SGkrU8fJym5lLFVQt8h8JutLj/7x+8BYFMaac1sP8QLbzLIt8sOHuLFt34DAL/2a7/Mm3/TNN6xh7QvHXuAguj89buvo5ua+/nbP/h1/uMPmmqKxeIExREzrl5i9vEv3vsoXUFATE9OsLRk9HDHnj0cP2pQL1rWgtIazzf7pvmOrKFCkenJaValqdfFEA19KgCdYQ1KnnTdnqxzoaPIQzpL5u+Hz7R42aXmXNRq1Zktmfu3dB8FPENuD+Q6Jo3NM7W6EXul6crRpU0u3WH8pnPig7fSnNz6P2UfT1CfShkkOkAztvqlaQlSLvB8ilKZoRVUrV6JTrXjFFEPSqWARFD1tWrJof894YnoRimp+OXFQGF7KmUKPnfW2KZI9HmlF/HBjxjy7/Pnl6mNG7TM/L1fZENoIVaWzwMw1zlOMzY6uEdt49BBo4P/9NG/xxeNu+rgC2hrU5kxf+yUzJKPL2s1z1PnF+U6c43drL7jhf2KEtVvZKDzzFVbXGjRWhMnGb1uDy1YOM/PCQJpCBe1CcR2BmVpfDLW4dhpc3P3TUXslJLglcYyZc98tifo00IQoH2L9Mc1UGv1euwRMvrjKw3nM51dNbrUyTPnuxcKPp6UJirUljOaK2ikY8u2KwVKBTNWUZYzKkhA27wjTrXbH4PApysorZHhCra8SMs6iLLM0ZL0orSvS1rRGDX0MVuRXFtl/xVX/bPvyxVwnWy2yJkzq+yYMdfbMbGfp1bNmX7ymn6ZsSe6dO21V/G+v38XgLFPW6r1zIdzp2uPP3kYywdTq1ZcI62vJgNE10AGMpCBDGQgAxnIQAYykIEMZCADGchA/k3IvzpEF8q0uvd9n+rQKABJHBH1pMWyxmUmMyGVG5odI5BsztKZDgtCquppRSrR0IpEW/Nc4+c2gu47It1C4FOQyOrs8JCrsbXEz9fvmeLOpwyi6cC2USz519pKYjLnQElqVIeKRaarJvvX7EYkMgvVQJHZiL7jkSjgSwa+tTbPudxERZNogyAw6IVDl5kM/vGTp6iUhWhyzz7uvOPjAGz0UubnLU+CiYRek3TZuduQ65b27+Z5zzcE8sVqhT/723cD8MNv+h4AXvuCV/KzEnX+uR//RTcVe2YneODefwJgcuYgx+4z2bw/f/dbAfiV//bfefSh+wHodtt9DhClHFG4L2SvCuUICn2/QC514NrvY2+05Ru/kKJMa2Ot+7AO0zzdtlhWoCRTJ1n6qckJCsLd8PkjKdM3mvd9tMsoVwVBlKU5gVw49Lx+NtHzKUh0fs/ECAXH3WQ++5ydE3z2mMme+WFALvCGqKcZtsTLEqYuBQFl0e9ulDgeKOUpctFvS/JbDgOEUx5f96P63SihKPdsyVqL5ZAxQfyoTDsiYK3Al7E4cOgK8/fiKaJu3XzPr/LN32YyjEfPn+Mbr3wxAIcfPwxAISlx840vB+DSA5ewtDov46dIJLX+S7/0O/zabxg9PHTIZM2/6dWv4R//8cPYm/BkzZaKVXpdsy7y3JLEeuTCNimc1eZrOoWgwsVBdCnAM1n1zGYZNDo1r1WhiG/RXZn5tzymHDLvxEMtLvkmGe8cGpJtHrHt7uOUomSTfBRdsT1h4FMWXdo3OUpF1lQuWcEbdk9x90mTmSsWQnyZ9LQVU3XcBfIEnmJMuHY2N3r4kkEOQo/EcvuI3lUKIYHYxEYnwhderm6UUJD7tLxenu9TFJLnXq5tV2E2u5HhowPH9VJSijFBs3U7LbqJsZVLzRae01EzNp2lHoVtwncAbGwKUiLN6SZmTzjWXWPpjOH4sAi0PCngWf4VY32woh3XhNhiT2EzVjpLcfAPsxlxsUQDOlecOHGaL9xrSNj3796OLwihlaXz7NxjMrHnzhrul9pwyJ5txq6Xa9ezuGT2gACI5b4rlow1ywjE3oS+R9c1EPApWn2aGaVStBlpMy7X7BjnrhNmnMMgIFNCGt7KKEkmu7jV3ogNiXoJnm09rsCCLWxjj0ohpCiEJF5POYXI8pyZMbOvDY8Y6JoOiuiSyaBeevk13PN5g7j699c8jz4W+f9NTrQbPPLIYwC87pYXufff9amP8KeCzJjau9eMgz/mUKXLKyuOKynXKSUZy2tvNE0EFubnWRF+zc2VBQoF83edaQgCLo5t0ujcoJatpus0fVbTFdssQkvzHH80xBMi27SVujblO5WiIQincZm8LM/d/lHwPYemKBV8aoKaP7BtlHJoEX3md6/bMcXtRwwvSDgx5tD0vVZCSexiKHdcLIWULConSh2Ky1faPVMoe2O1FDjy6GakyAWN0YtiQrF5tsFB7kFB7rGX5paui04nds9kmwv97E/9InbjtWgugO/4/p/kZ3/BkIBfc43xx0bDKUrCHUuWc/K0aVzQ68bO14nVFHNPmay/Csxv3HrLzTz8sNE7z/PZWDdrzfMDh7q2NsCQt4u9SjtuMeWZhxdYdp8LL3me0+1E3HvvF7lN+KTOnDrO1IyxPSOj48LxBD1BMvqBz2V7DffY0SeXGbpefEAUiSAUKsJHm6R9HqRQefTEdoV+harYk4Oz41TE0FhOyOt2TXLnMeOH+57nGhbEvYyKfMaOSqEUOF7dbi8lkM96fp+jy5fNrlIIHfKwXA4dujmJU4dwdg1mUJSEl7WTaoccHNu1n/q6QZ596RHDx3btc3N2bTeIuOXFOf7hw+8HoN7e+D8OZwdmL2GqZuzfiY2TLC4avbj00hs4e87o0+++460cfuicPLMZs+XVVbQgSE6dPOrI6I8fP4Ev6C3baaZYLJDJZ+M4piD6e35hgY31VUc+fsFFg+cXntUQSlmoXJa5vVhJ2YxXLeMLD+DasTbzu8z+XsWjJfc/Kus8TjICmaTAVw69HgYeVeHCOrBtlJpUSlgU+/U7JrnjhPGbAi8AX3yOduzsWNVxNHnOziVx5myMUso107DzWSqGlGQfbHQTNzdJkrpnzi2iJfCoSAOHXpY7dFe9HVMQ2xTL2IxUy/zXX/pVAJ46/CCJPLNXqZKkBtE+MWFQ0JdcepA7HjHor7XVZR4RfUy7PefSPHDkcc6ftMptkXYBJcuJlAc0hWcYnZALZxhim9BZfw7J+z6m6jd/uxiiFDSaTaydVsonlXOvFxRxbKUNY5+m9k4TSLOuT96/wbffZHg+/VzRFd+mJr5rnKQoIfsLfEUsDxV4HhVxXvZOjVAVvzgU/bh2+ySfOWX2/EIYuOqFdhw7u+TiDoWQknAHJnHqOKqroU8sfkUgz1AuBRTls0FTu30uTvq+lh3rTHkUrL1Lc9f4o9GLeOb+e76usX3k8L1cd81NX/Zu3wf++0//JX/5zj8EwIsUTeGivOHF38oZ+Y1LJg1R49OHj3Hd9aa52Jvf/Gts1A261HCoefJ8Rte67Ta5RcSXq4wKZ+358/MsLS9+zftWfSLufx0SFMp6ZPIASsGaOIuVcpGubKrmecRYetaTBr8iRMmFgOE9xrg/p6gdQm5mREiOexFlOQz1Qs1aQw4HRZ9XXGXgfXkGXVk4Gw0z+FGaMDEqhIcrXQqePXxpCrYcQxzJkUrIonQlmqyVqMhiWIsTKmJ47e6Zae1KO6rlAsWigf1Njo2yvmKgq17R3Puu/Vey98DlABw9epSoYf6+64oXcPq82fyfEsLcpbNnWV0x8PhiscjtHzfEzTk+51cNvPUhcfJPzx3Fl8X071/7aqplA+0cUeN89w8ZJ2d6x3P4/V81ZYqf+ZL5/t+/5+/5yIdMZ4b1tbPO+feLZVIhEvbFkc7SHF8s7PDIKEPDowCcO3UUq/Q6OfmQ1trUzF0gUX5R++WdJgAim6wZ7i1WGYmwOZJqRWgJJMse47vMZ6/0AleyNSvk/pu9HhV7wA9hVfSp5Hl8w9UG1pnnil5qfsNuHFEUO6PWzftB0kBrkOBrtdAvE7KreLhUdJ20NtKUQD4TWth0krqSyFIxpCfOUDHwHIQ2t91RNITWiPoh3UicyVu/mW9/k3HqHz1qDuDXXnIDyyuGrHl66jJSiUp+9ov38OEPfQCA8RkDqT925iki3wShXnjdS/nx7/1JAN78S6/hji8Zgsxts5dxx0dN4NTPTUD3B77vDcwtmg379k98yJThYLq9WN3qF5cp91rjPXs6PR8dnUbnvQt6olTK1yD10ltbKAjsXoVFV/7gbshT4PUJFwPpAvSi/T52A9kmQZ8oTSiLLnUDzWrD6GvN93mZ6BJa0ba6JF3HsjghEse8p/tBWJ3ktEXfbBmQHyhi2YS3j1aJhAizkaZ4AtcviBPXjlJCuZ9KKWRVGioEqm/rbPlQ4CnXUVRp5Tbf880eLXGQFrrGhu8cq2AjYcUwpN4197BYb9AVSHdbSDWDik9BSrRD7Tki2slSQEO+147g5BHpgpebsdSZR+YiLV4/mL5lavrK0e+yZdRqy55pffH2sYtgm0o6qOwi8HNmZ80BMgyLJFFXXvts22kOjo0NY3OzLGW3BIZvuuUF/ONnTBevyfXD5FI2PS3OQzuOnD5FBZw+VZTHy662h3jPkUZbAtC4G9OTcovM993BUWU5SuxfNbRl3p7rYFYthy7w3s5zvEI/MALQjGIyOViWC6EjMfe9/mcOHjLP6yvFLd/4BgDu+dydaGXu4o0/+5v/ojH+avLWv30Llx24FIBvvPnb3Puv//Hv50PvM11/ttXMIbUTKaZmTKnIubNniUQ/ddqjWDa6NzIqQTptinQA2q0GXenQlqURSnlovYrWyYW1TV6oVSiE/ZntfFjol+kq3P7n9jm/H3zBM6WMAC+6qkZRgiizFeOPtLsRVadLGmlGRUUpXnql0SVPeXTEb2pLoiTuRESy/nt4lG2wQXl0W2YMy6InQeA5fS0WA2ebUl9RkACYL3tXmmeuu2ipGLrusoGv+rbJdpnE2DIrseyf55td19hlWboiX7N/Dze9wCQFX/Hy13Ji3uxHZ8+fYnaXIXp+4ulHzXsLJ1jrGr/rmccfp900h/Ga59GSBiyF8hRPPCKNUsTNKBXL7NppfM2NzQ6rq9aR7+8pzl7lmSsJJ9euJCgslPrNTJqPXnDbVKmN6suufhFJr83znmsIsHfs2sejjzzg7u/TnzUE6JddatbsiVNnGZk2a2G5uUhth7nv64tFlDzDtPiy7W7kSOOzkmJDuhGXUbzsqp3yGx5tCbx0ZK/rdXpEMraZ71Gw3c2VoiNdF23ZWRh6hLaZVCkgk3nv5hrfHlTFdnWihFAC0kPlArEEJwJPEVoKCb/fda4r96A1LnkdTu/hVf/uTQBccr0Zsw+99x089sgjADzy8IP0ZM5+9Tfexty8CWS98Pnms2PbppkdNoGKn/3v/5Hf/9V3uPn4s7/4eXMP1Z38yI++DYCd24wOXXPl9XzqDkNTksQd1/HUDwsUC9L5UpJmlXKVyUlTwnfq5EmKJbO+L7/8co4cPUlz7QnSpHXhbVNhAjzfJZh1lqBsMDeNzaEL3L2DRklwwitBUZrFvXBnhUD0ZkfV3Huj2XO6pCseKy1JEGbwyueYMVLKoy3J967oSa8d0RN/g0LoEta+gqbQO5S2dGi05YphwXe6lCiNEn+paP2mOMWeaUqhT12a+xR8tcUH79OouIo2lOuOPdfouU6Si3L2na5WGB02Pvbf/u3HaLTNvvIT/+mn6EpzhF5i7O5Kc416ti7joLBR3CrQFR1MVYVTRyQJI/GsNIVKxQx2r9vpB6xUP6FraTuU5zvi960Ko7V2JfN579QFtU3KL+igvA2tFWXpntKNuls6ZeeQy75SMQHfbhxTnDHrIBzNmd0jAav11NEnWB+82eo5m6HLPqtSrurn8CrRJa0VXfGZ2jK3cScikj1GhwGBbVCgcLQ09jy3VZeKxcAlixOFox2wCcVmN8HqUqUYsiYlqmHQ3+e0smASTcuW2m7RpYVmxPf98E8D8LJv+f6vd6idLLTP8V0/ahqwNNc2SeQ3LpnZjfLNHIRDk7zvXcZn2jlraJB27TjAPZ81CUovCF2JJSpznY3Vln/tOI2OjTnqo9V6k9zSivS+cnxgULo4kIEMZCADGchABjKQgQxkIAMZyEAGMpB/E/I1SxeVUj8B/J3WeuNfenGl1KuAP8BAE96htf6tL/v7buBvgFH5zC9qrT/+1a6ZpSnraytATkkisjOzO13bXpOZlPixTYoGikxITMOS78pN1idDqpJ6fKZuIHYFX7G3aMmNUyJBz4yWC3zxpEGQveyyXbQ3zPW2T5h7WNtoOzTO/tkyi+uCpohwkOhQ7quAx6UzQoK40KQhGPwD08Mg2faWXEsFsCFR4U6UUquZe1te3yCXCKdpEwyheorTxwzh++zOvSwvGETM9O4mfmiyyZdccS0AteEKy3caRJfvB7zlt37ODNXwHr7z9d8JwM0veyEAv3DrD/DLv/gWAO6590G+/eWGjP6T93+S624yJMkffPcnOXSVKe9YWjbPvmPXAfbsM0iTtbUTjI4JSWZYYH3VjLeFgBvycCF43Kyza6fJ2p3N8y3w14sgGnSeorzAATWehQrM0z4ix92HJpEMYhAUySULU5iFxnlzkacadcC0Hx4Swr1mL6ErzztUCrj/tMnYfcPlu9home+NT5vPnp1bIxG4cAiOkDZOFRXJkngCkSmGypGUbrYilz4ZqxTQgiDqCRlvNQhY71mERrIl06JdwjiSLGmxGJDGUvKRRVSHTDZxZXGRbtfM3+WXWJJCj1bTjEkaPcrk9B4A2p2c3/ltU8r6R39t0Ba19QJ/9xaBTUcRf/B2o1uHj64zOnUZAJ+58ywHdl8qY2ye4R3v/HMqZUtkmOIH0u8+T1yu25FcKh8t5YOeH6I8k6UJvJQsy0nVxdApBV4IZI6AXqcxfVLgDK2FTFIQEVmasHeXyXifX14gk3k6XRphe2LG+EirDsBIJaAqmZxWnBFLVsj3Qh4QXXr55btIm+b9yWmDvDw/v05i22FryAS5kef9FsQ2c1XyPWrSrnq93rOrgOFKgCe2yaIWh0dKrHatbYodKizNM0eWabPrYyMVV3YT5zlRbJE/AXPSIl6qlWnkKcNaoNtZTkXaga832u4alRlBGgY+vmhx1MsciDoJfNY75tnm532XDbJt3wuFsqvBVMpDb0Xg2UYUrsxOYReVIcSULJNXwtmJiyCKHD/vUK0M0WoaBKRfLtBcNSiRqclJ2g2TtbUZ5nZ7jTe8waAGutEaSwumLJiDUwzNG4TvkY7Rq6Kv2CPrpdnLiCTDN1wMeOisue5tl+0ga5mxmZgynz0/F/Uh+zp3yJk8g6JF8NnMY+hREr2oNyKX4R2qFkBsUywZwOFCgVXZ9xqpdsi5MPBdw5bFpWUArrv6GnaMmT20UiyxVjdlqsnGMuHY9L90qP9ZuWoq428+8F4Abr3526jK++//o3fCH5nXqmBQPJ7yqAsyK++s44xpUCBPzfMvC5HzvgMH2aybPbvd7lCUzLMXhqbUpfcvdrW+PrHlPxYpkbT7DT2CkkF4QT/9maeujNErgFcwc/dECs8pme893TKogJLyOBia+egkGR3bMr1c5qFzxja94qo9ZJuiS9vENp1ZI5dyNZXpvqnMNQX/2WjkQqAoSxnPRiNyzSSqxdCVjVhdKoUBazabnvav6ynl9jyL6Byqlmz1OFGaOyRUOfA5tWb0KhX0yNPnzlAMDB3DkaefZLNp/l7btp/HnjQt2OuxWXP3PXIfFbGZviog/P0MVwusrJlnOnEqJhSE0dSEKZmZmdnO408adHSWRVhd2lpgnQsiQmc5haLRzBTQAr1Ikj5q8GJImiSsLC2jVMBnPvs5AEqle7nhuSahfvzYCfbvN2sjlCYYY2MTlEKzf0+MJnQx66G1e4zSOWnI0q4DUFQee0LzXPVeSlfKhWrFAg+eEb/pqj1kDdGnWaN7c6dictkvAq3FdpuRsIgau18UPeUoH+rN2CGOhyqhQ5smsn8Nl0JWxMb2oowhKVNTW5puRIL6G6oUXFOdXpqTyTUWzxzn1Bnjc+sRo//PufEmQvFjjh49Sk3uYWGlwfU33ADAFZeYplPf/3PfxQ987xsBiNMe3/kfDT3EUNXjR37h1wD4i796Hy94oaGKePALXzS/e+5jVCvmNza6GyBk3JoUhTR/sKV0jSb1ujRuAfKemZeFxQVGx4bpbF4MbIQCVUDneR/V4al+owxy03BIXtt/tSC2s0yjh8w8PqNSrhIf6WjL7HMlT7GrYPRuNUqJtG0UEPKgtU1X7CGRRl2TM2ZuF07HaNsQIUkJ5VyoUA59Y48ExUC5EsN6s8+xUquGePK9WBCoQ4WQNdnn0ky7HiDeFj8jFbTWSK2IxZtHmUa2aGqFgDPrYptCc4GNqEu2ar7nFUfoLZnqnU4v5uycOQt6NfO7m52Wa74QRxm2zGNstMRaZPTj9JEYFdtzkOx+SjvKkDzf6m+L6wuuBN7zPBJbzqj6VBA6z/t8BRdatDbltX5IR1DVir4voZSP9gw6q9ezaLSAeFkQtuMtmj3jP0R7fIIz5kxz3OqS7zEbmO+vxSmRVD+MBoHzwV+2xQffLbp07mSXVChDsiQhEJ1AgRJ9DCy61PNcSfZGs3+eG6lt8ZkEHTZcCtgQ5PtmN+/TbSjltvGezEG1FDJkUddaOzRepeCzJpVp/zfyHd/3DSh5tiTpo+Aa3WXmO+Y5Tt93luc915Q8PvWoqdpZXXyQoGTs0tRYmYVF49fWhkdptY1u2/3OUxoldvKKK6/ivFSo6Y2m2xW/Wm3i16NtM8ADSqmHgXcCd+ivo95RKeUDfwx8AzAn1/iI1vqpLR/7r8D7tdZvV0pdAXwc2Pu1b0nheYFD2JtyE1cX09/fLUeBypyDnTRjrM0MPI9XvdAc1D92r+EPygNYkAUyXCxRl0NP0Q/dou3GKftnTOBorWEOaY0oY27VvC6u99xGWFKe60ZRl+97sSKSaenkCdO+3YRSxiz8WQ6Tc/UOuQTmDoyPsnu3ORTPHXsCX4zw2E4TVNi17xA92WzXNusO/rq8ep6OlOz8zM/+BgDv/uA7+OKnTEwx62k+8YnPAPDcF7yI3ZOmTOapFRM0+93/+YdcesiM05GjJ1iIzEa4fccE115ruu799Z99gG2z0u1tzjh8eZYRihO2feeVVOUAvVFfZ2hMSoxGjYMyPDpDSWDrTzz5mDOElaExuqL0F1N0nuJ2nC2dr5TqO5e2wwbkDmqfNhN8cRzCoMg332ycu3/6otGnVOXMSwfJWlB0+lQtl0gt7D5K3aGtJXXIFAs0VgUKrLQr+Sl5PtryItmOJwn0hPOjHkWUZew2VcKILVOTz7bTzAU3lPIIZLFU/ICCXTeWAkx7rlNMK8m4ZJ/RvSws8fADpt765lu/yY3hjilTttdoQ+4bR+75z3sha1KyURRd+Iu3vM99Z7pY5Bd/xAS6PvSRv+PyA6Z++0GG2dw030sS6zhoYnmtVOi6u6RpinOAZI4CX5EKHNvzAtcFbufO/Zw5d5qLdghQAIHjXSBP+1BuFRg9A7I0c58/v2gORrPbt7EcGedkaMzjZQeuBuAz95n11Mlzzgu8vqoK1LO+LtkuhJ00Ydek6FLX6FJSCNisG5vmKbCFrn7uuTr+toyfl3tEUpa2kURURJcasWIktAEycazasVsHge+54FbF21IKKLqURBlDY0Y/NpsRSWrWRDNOGJFy7bqU5AW5cnxftUJAUxu92TbRY0UCPpWK7fyj3aEiC5Wjz8qAHSNmXc4dTfvxKAnypXmOJajTW4NVW7Y25ZyxnC1kRniu3CvrlzReBAnDIjO7DnLZoQMcfsJsm9PjVW56vimjO3P6JB0Jgg6PmLE9cGAfQ2UzdktnmjQyE9wa6/rceqMpa//sA0afjG0yejHkl8hl8GrlMqnoQCdOmRXb1BbbFIc+zU1xIlXmeP4Knu+4MHvW4Uo1qdi8bpYamwLoXsyw7XopAYdOrJ3znW/l4FP98shew8z/U4cfZ590fr3pG7+FJx4wwYf/1yDX1vDAC1/8Iv7354ydq36Fz3/ja74DgDs+9qH+9hFWmBwz/kGv16HVMvc8u8d0Nu50Exo2QDI07Mr48rgrLUAvjk4pzzMlAPKEXlh2ZW/K8guCKxvWeH3OmCTBq4lDHsCN1xluuPseMQGZVGnOSunxSFhw9m+4WiOVA2u93WN21IxkS/QuKvnUJYCgte6XmmnPHb7b4gvpxCeVrlK9JEUllt4BV0Jtd+t2lDv/iLzPP1byfHzV5w0E8DNNecjc13qjRyylnY0kZUTsTEN8wprnc/LUSQCuu/IqVjbN3N78ssv4awmK7jxgSlgvPXCQuXlzwCwUPDY2zGcDimyrmf1xMfaoCtecLQk6dfosL73VHAru/Mxd9I8suh/qcjw4MUksiQJVdBxGaP+iJgizNGVjbZnq0DC33Wb4Nu/9wqe5/ePGp9y5Ywejo8YfrA0Z25SkmtU1E6geHZvCq5mD4ejwKDc+33Tq/vz9poN46m21TQVSmZORWo3Mzk8nYtuouXZL9o607FOXkle0CWYBFIPAdXGMt9imRBI13SR1e2ErUgyJbtikTitJKcrhU+l+WVBJeY4rznWUzRSh7GmLja5Lsmz0Ir5wl0nwfeI+Exx8yQ038d2vN+VCH/2H93BswfjWd3ziH/jVXzfliDe92AS8tu/Yyc/8wk+b9266mW942fUAPP7EMzz6OeO/v/0Xfp4/nbkTgKNPmKBaa/UMlrdwaHSSpiRh8zQjcQk/KS+vlFxJsMJjcsrY014vpturi691oUWjdSJ8uPYt3S+50qq/z+bWb/JcORq5Jhf+yGLJ40XPMwnSz99nwA8ROXOyfoeCorNNE+NDxNKZcrPbY8e40aWm7HOdoqLR6R8yEwlOFcLA/bbtYE6qSVxgPXUcpHkPatY/EV3qJRo55uFpXBKnqHxHeaPc3qgpj5q5W95sg/h8m3HCqJyn1tpm/Q95JUqW+gb41F2fBeAFN9zI40cfB2BmXLguh8su6ZeHyvESRknObMXc3FltyvBkwAFTVl2Uc1oh9FivN2V8+vuKDSTHSe6+p/DR2pY0Ro525EKLQknpao72bUB3SwKFvv5qG+TtPx69lTLb95kPj5TLPPdGA9T4/P0mOJP5sCBnkKGg6MrmpsdH6IkNaicJOybsec7MTVwKaK5bqhVFImWepULguguncg+xzskEjJDmGUlqE1QeNVkT9vxQjxLH8evpfulryfMJxTFTlhdTQ2VIgnTNLomALhpRwt++02TuXv/GH//agywy3zoNwD/+/T/xkz//EwCE4TwryybhF6eaKTmrPrPS5cF5U6I9NW4AE0nq4QdmrdWbMSXhH7zyqms4f97smwsS0JoYHSaTcNVGvcX8eZMkUUq5RIpU8P6z8jXD81rr/wocAv4S+D7gmFLqLUqpA1/jqzcCx7XWJ7XWMfD3wLd8+eWBYXk9Apz/WvczkIEMZCADGchABjKQgQxkIAMZyEAGMpCB/HPydeEHtdZaKbUILGJComPAB5VSn9Ja/+ev8LUdwLkt/z8HPP/LPvNm4JNSHlkFXv7PXUgp9UPAD5n/8fB8yLPUZR6SqEupLHDEqLcl+24zox42pOt5Ac0FE3m94aoxThw1aIoRIbONcs02wZjnOnfRdjwIBJ6w2esxI2TjQdF89tqdkwSCFujqjKLEEAu+56LlFdvxK/AQxCN7J0YoScQ1R9MQxIaN7lbHio48Ou51uftzhrxtanSIVsdEQ58zYjJna089zB7piHDNc17A0vxZADbSgNEZg/pa75oI/P5LrmLf5VcCcOqZpwgl67a4cYb7nrzPXONKkzE6NHUJoYS8F87X+dhHPgLA//ft38uH73kUgOue93LOnDSZzoOHzHUXFk6xZ4/53V6vxcqCIVXdc+BSKT+FDUHEjY55nDln1KVSHeHYUZPZi5MUr2DGOrtAwHPyywABAABJREFUDV+epU/42IC/K2p4Fjl1zla4tPvXlg8qj9XjAp/f5/HMM+YZhgWD0Ms020o2s5CxInOZ59q0ewLm600mauYzTSnpunRqlE0p6eqmuct0h/SRDqGkjTpZzqgQpU6PVNxzZlrTkWx6LHCDNPQo23tHkUm2oNWLXdZsp2S3h2rDLHcM8mDftklW546bz/oT7Dp0HQB/8Z6/AmBypERRuiEdffRRfujnDJS+MuwzogwJ8sqKidL/1p//V264zujp/OnHedsfm2xCQWm8ob0A/M7v/gf+6K1/BsCRI/3ovV2PCRlBaIlUc2zzG7uutPIplCSTnCSUBCK72WxTqQzT6l4YCP6zdckzeqF4Fhc9tiQIz6E1XBchrYmlPGB1eRFf5vGmXSOcP2WyGZVcMj4odogueb5mvRvae3BZ/7n1JqNiv+rSJfPy6THq65JZSnNX8uqpPszcdobqpBnDghaYGa46nci0pmMJyG3GLlAMi+0KlCKW8pIs065r0I6a2EnlOZTQvskh1mWANuIISariy/dTMhqy1uNE0wsE8VHImJ4yupQF5nkC33PlkSU/cJm5Aj7HFqW8J89AmznwArM++gVMoLeAnnWebvnLFlSelTx3nbzIM1yrrQskW/UpLJQZHx0jLA2xumIy/bv37OXsmdMAXH3FZdz4PJPtf+sf/gkAu7Z7/M17PgjA4888zvges5avGitz5qhZfzUpn41SzWzJrKHcy1i3UGelHHr1/GaTMekgtimNKy6dHqUnzVS6Sb9cVOl+ebclYG7EGeNV83tjQ2X3vtaarpSZybQTB8qVPhZQruNxO8poib7sqpn5K5Nx1wf/BoBXf++PkUnGfuHsGWZ37/m6x/vLZSsG5r7Dixw7bsbszb//a6RjBnWye2gfP/S6lwIwPGqyk8oPyXoNc+/VEdbWDJJOKe2QRQtnjf1UhRFXHpxlWb+RRp6hvD4n/P+r/B+2Kc9NOa6yGeKigQNjiINtJ0DbZZgch0BVHqTm8dgxXmReurhWZJ/LctgmHdpyL6UoJRYaTSbI2rl6k7Gq2Kauue5Vs5M8uGHGuJvktrEnqJxMP1uXmnnKuGRvh6pFB+LXWtPoSsmeBX6EvuuIFvqKjtiIei/B+oL7hvu2wHaBPjBVZVUmYKXbwwJvfXHIkjCjK/v2o08/w/ZDptT+iRPPMD4mJN6nDRI+zzM6ktHvNtsENq8cazal/OXyq3fxzMPGbzp28pg8kOK++78k464oShl8FMdbGmXYhgFF9zyezrA2S5OiL3BT9a36VCxVeP4Lb+b40Sd5QLpp9Xo9ylIihw8TEyaH/cKbDHn/mTNnuOvzBmWy2a6z1jD3Pb2/w7kTZg8syz2nqWLadiNVGQ3RLeUpskT2unqDYVlHDTkLXDE7QXfD+PdRph26ROe5w+1mrgtZxpT478WR0HUh02jXCMiW/KeB5xDvKtesC+mz50NBGirtEb/JR5MJWv+SbeOsr5hS5LRYRm6Tq/cb1NFd93yGQOzDuz90H48+acj8/+Qv3sr73v0PALz3H40f9CPf/yOE0hDilS9/A8vL5rq/+J+/m23VCTdPO3cbFEos9xAUKhw4YHAJDz30kKPikIeVf81no06CJ2V+SvmupD+LW0xNTBA1L4xOPftM56M8z3SFtfOl+4TtWrFlD7YOXt8Hx1Mkq+b957+oyqmjBi9REl3ytWJbqSDXymjYNveeRyZnurl6k2FBQ611RJe2TfCINHnp5blz6bIsQ4sfajuUJzlMSPl0uRQ69BbgOngmonepr9zKDDxTRgbQSmK0+P87ZZ8bKoUOEXjp7LTTpZVu5LpgF2WvvvTyy/n+N5oh/U8//TqKY6MAfOSTn2BCSmUzaVS0e/t2jp48BZgmPlLtSYDHqpT+UkwcajbP5OyqNRvr63KtnvN/lB+i1LPHRHhh5LVCSVMvo1MXzm969j6niKM2flh26Let1BMoH2Wh1xZdrg0yHSDPeyyeNff8bXtnOCedEotSl5lmMC22yPdzNqQcOsly4tS8PrfeYKhk7ZL5qctmx3nU2iXd9/+zPCfn2RQOPQ2TNSn3Hio40nilFInoQmL98kD1G98p6Ir+NOPM+eC7pCkDWpHLbxzaNsHaSh0wPviI0Ar90Z8bP/LHf+hHv9aw8+F/ejcAs7NToM05sbWxSUE8wlAr6nIGC0d7JMYl4pZbbgPgvvseYn3N+BE6TR1Kcn7+vOluDsiRkla35xpjnDh1iqp0jo2SjCT62hVfX1PblFI/pZR6CPgd4B7gaq31jwA3AN/2Vb/8teW7gL/WWu8Evgl4l1L/58lBa/3nWuvnGkb9AX/+QP7f5Fn6tHXTH8hA/oUysE0DuZCyVZ+CsPC1vzCQgXwFefY+N7BNA/l/k636VJBufQMZyP+NDPymgVwoGejSQL6WfD3h+XHg32utz2x9U2udK6W++at8bx7YteX/d8p7W+UHgFfJ9b6olCoBk8DyV76sMi1odepSn/PnTrmAbbFUIuptRXK5O5a3+sSGXzjT4eZhk9Hp+CaC2Oil7BMeiXYnYrQmQ5RrtESCHz+zxpjUKTclkzhc9inKdUvFkDSy9diJQ5mMSJS3gLJ8+JQCT1qEgl/wXJSeoM8HsC7JjG2+plqyPFctRoU/YmnVDNf42Cinnvw8AN3eIgcPvQCAhePn+NLcQwDc+UXDZfK6172OxqaJhHZy7bicpiZ2MDViWqaXJdL83//wV1EI/8bYDg7fb7JyKgj49OdNHfyemWv4u//1XwB4zRt/FYCnDz/AvV8w3AEH9x/kRS8ymb1zZ89S3zDkfvv37gVMO+zWpskUdLpdx9tClrrmARdNlLR5tSTUeY5WlqegzxvwLM4eW4Rf9CkMmzk5343Z4wufjScEgXHCgbLU/rczRqrCmYV2ZLrn1tvsnTT1yanA/zqeZlQyTH6ckUoq0A8UkUT1a8JL4nu4dsa1UkjqMpbakX7nliBSQUMyYdO+TyZ13AWtHGF9Q8gNVSlmemJCvg8TM7sBePD4HA8/bmr+911uMpMPPXkf/+M//z4A3/Sy120Z26J7GUs26Z4Hb+fxw0Yf42STV7z4FQD8zn//S/7Tb5uMwh+/7a945pljMu6S5aNP+KqUIhWep1KpTGjbgQtx/dpandLQKADV4QKREHAncZtep+U4yy6oKIXnFdA66xOp+mX8rSTPW7kE5Ts2kxHFEZnM8/3PrHODNJ6IQjOHjTjhmhHzTI1Wh6Fyn/vBcpDNrXfYN23mUVskRJY6HqxekpGITiRZTiQoneGy+a0ggFwMVqXgk+YWbZqTiI7lcr9ZDg1ZHNOej/D9UwC6oktt+Xd8uOw4vIZKHpEl3tQeG8K7Y3O2GYpE5rnrxY6MtdNLaArp+PhO4YkINBUhc45VjhKKu9TzUEMy1kmBfg7VkqOGffSOxvFLKC9AW+hovsUGOCLvAC1jgs5cw4OLIb1ul6eefJzHH32QUeE1WF5e4pK9hrS6Uq3xy//1lwAYqhokxWc/d45Ws27eG60QpiYL9sUTq7xi2qDhYuFaa+UpJbFNrU5KTch0s6yfLZ9f7bJ7IrWPC5j9oip8NZ6vSAVG4yno9vrkzQCep51tKhY9l4RPPKN/8iH5vmJD7P5soQiCFiyEiq5wVjRagkAa8dk2NQpAtLHAthGzZ5984kv/T4gugGPLDwLwsc/8E9ddbXjyetkmj91jbMjN3/kC/u6DhoPx6isM79YHUK4BRdxaI5D212mWg/Am+YL8yJJNmi1BTeSx20tUoYx2fIQXQZSH8j1nF9A5yrP2WYOg2h1Bva+xLqIKQAkZ0enzLa7bb/QmLcie0cvYVzY62GgnFHzJPCeZQ/kt1SN2jcnzCap0M44ZktbtYZoTib3IMk1qeSkDS25sEN4AQ+UCqfhKqWdsEZjmFADNNKcpzzkbKgpiI2pB6PgMNyTdPjlWoSL2c7RaoCv6WPMDTqTGoGhh2PWCgKsE6T4zu42pKeMrPfzkU9xwrSlY2HHgVQD80dt/i0BMiQ48SpYzrFRkvWmuuy0vsneH2UOfOWJ4+F75ildx9+eMH5fnGb3I7nnelioF7d4LfctR0nEAnWKhSJpeIAj8PyNRFHH61HHWN9ZIU4s48CkK78vC4hKPHzZcgKdOG5R7s7HJ2oZB8hdqBSy51SOLK9xSMeOYFsz8tuKcvVKl0eyklIO+Ptkii+XNmN2TYpvErLfSlBGptugmOYmgiHPd55YsWVJ6r0/UPFQqOMRN5imHjLA/lmpNW353WxBg8T0BCk/0tC1+0+hw2XF4jVV8erLXRY0GRxoG1rAqKI1iqLjxhS9147qxaRA7t9zyKuLE2I1TguD94Z94A7GcN7LEZ2rY2Lzfe+h2lhJB7MyXOHHcVHJcc7UhsV9d3eDIUYMyNOhlSyCVuudA9rFYFfC0PMfYOItz5reDwCNJE8cre2FFG39M9W/NnPEcFbWzoXbT1nnaR77q3FKQ8YWT67x2hzl2JgXZ56KMctHY22YnoRSY68Zxn5dtaTNmx7jYHtnPNv2EUeH5jDJNV/wUrfuopZKc+ZTqN94ZCjx3o6nKXUMzhwLLc5piY7cXi26vVVmfvL3RMnMwPlR0HM+TIwGRoGKqvk9dCMmt33T63GnWBGk4sWunsxXtbszKikHOTO0ya2Pu3DlCscGppwnkdRL4LC0av1p1PdJev2oAQGcpqSCXhyd30BOeryzrV4RMTZozw+rqmmOo13nfJ1a+785aF0OU8ikUisTZFn4xR6C5hV7cIbu0G0QvLFMsmXm85+xprvaN34XwnrY6EXtEl1qdHhXZ09MsJxB7ttpKaMk6iQRB1fY9hoekYUqO2+eUwqG0KmH/fBmLH1Qp+g55lqHpiX3NHXpOsyHv7auW0AI7DbQiEp+pLdxxQ0NFiuJTTQ0FdIwppqR8nlgydufdXweSy8qOXQYletdnP4I97kxODFFfMT56M1YcOWoqyN78Y7/NRz/+KTM+q0aJ5+ZOOmQbqn80qm+ssl14x0dHjV1rNFoMDRvU2dz8PNWaOWfX588+i1f3K8nXDHRprX/1q/zt6a/y1QeAQ0qpfZgA13cC3/1lnzkLvAz4a6XU5RhztfI17wltFktmyxE9F3eIehE2wOW7jhCaESGtbHSaeOJ47R4JXQcyS0w6PhqwJA5CmOc0hDSv08qZFSI/paElm5oNSHmZZv+0CVacaKYUSuYacdonRbVBh5Lvu3KPINBMC0FcM0uJhBwzEiL9OIlRAuHeNVLhfC6EdyjK9rAoqKS8G1Gomuc8c+wkm3VZFJMHmRk1v3fL9YY8/uMf/mtOnTVEsjoI6YmmPvDIvezfufdZ492NI5bOG2flmTs+7Lo9br/km1ibN4b11OE7+PP9ZoM5KZuqUgHbtplyj8cPP0pJ7u3s3ALbthvS9jgyRvPkqQU6HVtqlPcPoX5I7py7iydabyUslGCqefnszwCQuQNbHkNYMv9zsFokbVm4rNG98aGQ81KbFaYZTU9Injs520Unh8ohldAaM7OxqqjHiJQBLLdbrowj72YMS7AzFgdrKPRcwj6JU3xrMLXCswSYYtRjpVFS8rd7pExdNu9GN2GiIkFfea+50XDlZmlQYGnBkAluv/Il7LvkCvMbUory7175LTz8tAleXX/5Dc8aW8sRaDu0eKrgHJfZmRmeOfWk++zavDGS22Ymuf76NwFw9IjRpwcfvK8/BzrHlw5O3W6XbkegrmVjGMMwoFI2vzc2NgTj5rNnz54izZJnlatdMNE5edpF+UE/OOv1A6V52ut3qZH59ILAGeo8D/BlM1xppojv6uD8o5Uizwj555iGhrad9nJ2SFOH0WqBgiiD7filoi7jw0aXTqx0XPy/F2UUxPmyulRAOV2KugmBBBC1xnXm8YfMs3XSlEwutmu0wqYE7JudhCkpn2zJmm63IgJ5b2Ohji9OQSNNmSjbtSYHkRxaEmxrZxkFGbOg4Dtnwn42QxNJcCUMPLySELH3FKtnZH8IM/LIOqTiMOORic3zvKBfCqQ8LFOsJX5W3taSU+U6zOjMwxMdzC5CfELnOXG3RblScQ5wp91hdrcpDX/4wQfxxDYuivMwMjzEvj3m4PzYg5/nF3/vzQB8+kvvAk+aoch+MVoNWJZyNT/L6EhZTNRts13I7UeqIWUZ81zmT8U9RofMc8fN2BFFN7oxozKXtrtsNVCueqGbJa5zVZZrMtkPM5mzKM/RMvY7x0rUpatWq5syJbapK92TO82I9RFzrRMnzrJnvykhq8wcYmXZuBBT01Mykhmuw8aXyR2fN+TZb/+r3wPgtd/8Km7/9EfNc3qKkmfW1XKrRXPJrM3Xvv77+LH/aMhXn3zSBPyf9/ybue8LnzQXDSt93QqK5BLgDysm0LhtfBeL0mEo1wq/sKULWrFM3rsYWWkbUPdB21rh8NmfsCdHezjREUp0RWcJSjoPFktFZ3uUdEwcq4YsWV3Smq4EuhbaTXaNGUM2UilsCVrJXpBEjEhp6/paTI4tBUldYrErgdJqoLCeQbsbUyz0y0nswaE4IiU24iMCzA6XWBe9SbKcaSnFbct77VbkOsqunF13/mE9ShiXjqGh7Lk1pXjqiJnzyAO/UpOxhKeefAyAR4823G91xVcK0WTyzA1vlPqc+cyLb9vFhz5g9GZYypVCP2NUyipXVnuorcGtLyOHRpmxMmOqXOOTOG6jvGfP74WUQiFk186dHDp0CV+81wTlDh66lDNnTZBl1+7dZBK0PXHC7N+FsMD27abR0fnlZcIp8ww7xsouUukJYfVoWbkSUpVpumKbljrNLXtdkaLdZiVYStSlJkmb9V5MKvqJzpwd6sneUvZNIwOAVjeiYPUp1+Riv7KiBADy/vxtGymxKoGIbpQxJHVftoN4px3hSRnb4qkVAtlj672UspTgXX2lsdFZu8PKivGtF9YWiMWxvO22WxmXUulJ6cY5VC2xKV3ic5XxpUcMxUhtx/U8fZ8JZBzcvZuxCWNnnnnK6Onll1+N7hmbeGRjHlxwW/UDS4Ftt+G5JGCn3XRdGeMoJ8n0xUkQooydUapfKr2l2swQnffLt8DsyVon7vtewdqmgHpmfEjf6VLIqrLJmpye2KblTovZYbvPFajIWS6z+1zSoyzzWG/EZK5RWOo6dPYkYFnekkBotWN8m3zLtSP9pmR9fIWW4PS2kRIr0qWxmaTO3jTFb6rXe5RqRrdXT6265PhmnDIp/m0m/mOQx3zgA+8EoJ12qUjyq1gKiTq2Q6X4MYGmLfwQYdBvXLHSVnSWZKxDz9Gk2BLWIPDpiQ401peYnt0tz9x0Qa9u15xRwzAQQnqhhnHnccVFq6RRCjyfXtTBL1S2/MFSJmwlrVDuK7YkNqtDOi3nuVqBihgItWn+HSsXWRMQBGlGJGWeK60220b657my7HO6YubOS7pU5fVmIyKV84FHv1y/LUnuiq/IxcdsNiOKYs+iPP8/dElrhS/I/9mRCistMwdbfaaWvNduxgSy962dXnXlqo04ZaxgbuKd7/pDAL7/jT/xlcdY5OGHjN3HU3QkGdPsRFiTu7xRpb1s9rn3vf/d+MroY71nk8NqC9eMdntAq1Hn9ImuXNs8++hIjaLsJ9MzM5w8ecZ9TZYtXy10etFwftqEbH8cuAN4GtNd8Uml1K8ppV4rH/s54AeVUo8B7wW+7+vp6DiQgQxkIAMZyEAGMpCBDGQgAxnIQAYykIF8uVxYtsovE631x4GPf9l7v7Ll9VPAzf/Cq5rSGp3jC+FplmyJ5W1B4GSWwFBnrNfX5O8++bKJDB5e6vKy55psSS4R30dProMk6VQ5IBQS0mLBY0wQNpvtHud7JuJ4/W7TfndhrcnqRh2A5TgikohsKQ3ZJkTjI5IxSropQ4LYKhYD6pbYMlAMSzahK9DF9SQn6xlC0+M6QxIIhEWfpgRD55omajqTVtklkeS8F9FbNqVflcowT86be/vEpz8NwDd963fxv//xZwD46O3v4UW3/nsAdm+b5HzPoAPOL5rsXKfbYddeg9aamhxifMRkmp4+9iVmpk3L+vNnzvAnb/tt8/6jj8q4K4NYAYbHZygJ5POaq650cN2zp025YmNztZ+5VMqVEqHUs8mgL7hoTMZfO5SIQXJ4/T8/i1kcU8dhER6ZR+OsmZTPTLf4wYMGtpt5Jov98Kl1/KoQNhZ8fMk8l0KPUYHmN9pdHjpr9PPa3QaFkKgSywtCYuqntCSLMlEtOQLIULIinThjZtiSSit6UvYVegol4e6iJcLMNYm0Tz6ap3j0IbBdQeysSp/WyVKBWmbJbRPGBZJ86ul7WFitA7DvsqsAOLD/IH/7nr8F4JOf/Ti/+KP/DYDlXou7BekQSGlPqTjO8298CQDN+lkW581zHj5xjNe8+psA+MiHNXHX6HWrZVBML7rlZtqC8njowS8R2zIfpVymL8/MuqzVRnjta14JwNxCi7s/+3F5DmlzrLcYigspyjPoJxlvv1hxEHLlhQ4JaGHeOk+d3uvcI2+b7202e1A2mdl9k2aODp9pMCoQ6s3AdwTJW3Wp3uzyxHkznpdtF+J2r8jaUh2Ano6IbVKoEDjovifj0Y5zpgSuj++5UlHfU1RqtkmH+XOkFa1NY5seT1LKloA6M5lMgCVBM06pAjOSYS35PuWCeY7ttSJPCLIilbldLKZEglKoVgq0OuYagaeoTQqaUR4iijJKBSkZ90KqYj8jP0MLbDxPtpT8bGlQovyqzEXkyPzNvFgCY2t3tsI6c5Rk47TKHYnvRRGlCAKfuNdhQrL0uY55+rApP1e+z8ZaHcChODdW6/zJH78VgPPrMatzZn6uuOI2qsuG6Hg3xg4/dqbOeMXqUIgnyLiiv8U2NTo8fNrYpuv3SXmRD6cXze82k5S2IG7GaiVp7Q1KbEmzl7FtrCT367mysUKoQLLemZRgKF85EtJjq8q1Nte5wuYAz3XM+t4xNsa+mpm/wPfZKeWKm1m8Bcll5dnZ4//wc68299buURsyOvumH3gDAJ+75/OsCDpu58wuXvPNbwTgt/7kD6nk15qxKg5x5owhUO+0jC09efwIoxM7zZjVl9DKEml7BuEJRB1jz+abdTzLcaQUWWTsmypU3Hq8OKLQed5HdGzZx8izPsbVVVUXHPJVEaJ75t425jTZTiG6FaTsE+dajIttKvg+npRNeCpnzNqmVo9nlsyzXrXdlCFkQZHlBSE3zmM6ktUthyG+oKJtK/VukjMuJL3K990+5wWKUHSpJ9nrzMehIE8rRUtKtL3coyN74obo4jQh28Q3K/ke5ZL5+87hEk+tC6psXch2i7jmQuHcSVpSxrPZaNIVUtzzq4bAWufGZoGxTUUhMc6SHhXfOJlZrBifMv7UsDzb2bPn6cn45TrbQp78z+SANf3SJy8w8wt4ftEhui4GHj7PclqtJtdedx3btxkf+OOf+ASvfc23APD8F97E7//ubwEwNtEvuz4qTYbCYoHRrlmnp9YaXLvL6OQBcb4fOllnrGJLl32U+E2+pxmTEtmNZo9nFo0+XT5r9MmrlDktflOexY60ueQX8CzKQnyaXpo7+g8/8IlEX3xfEYo91WLHcjRJbPyiI7nuT0Wu6NkmLIIUGu5ppmROfN9zKMbZWsiilKx+4iOfMPd93ZW84Ebj8xw58xhXze4F4O4vfIrHnnwHAIefehiA0ZERvu87DOf2nR9/Ly943ksAOL2+yWte9RoA4k6XsXEzH9smzbhneYa+xJQxHnnmMErOHqb5hNUO64NkpkkFpkw0t0dEH/E7L4Z90lvsz9Y52nIGcCT1qv8dV4KpyVqC0tzIUdtl/Yo/8sSZJlpoHoIgQIst8APNpOwh6602x1fNWj4oJfFJAMuyz3WjBC33VgoKCJjKlVL30pwxQd5knnKNe4qhh5ZqjVTQONpX5FLadmQlI7f7XAbLltxetqxinlGRPbEYBBSkNG3ncJFH2kYftfhN55MOJ1cfBaBcDonSfnnc6IzMqej+2lqPUMprS15AWZoyJKlisSlnn8zr78Gi8HHUoVA2Nt8LytTrckbJYueD989OGmXL4ZV26ECtE7P3XCxRHsor9O/DtaHA2NIvK2NUKLTFA2WKxjkz+E/vL3LLsHm9XagRnjhTZ9TqUhiAPWv5MCEo93qrzbEVo0uHpkfNL4UVNhbqAKRJiqggk7V+mXMqZ/5OmjMpuqQCn7bsU8XQR1vy+8jW6iu0NOI5sqIdQlVnOLtUF10bV5ppaWylA5+KoAd3DBV5TCrU/uhtvwvAiVMn+Y1feetXG2U2hProc/ffxTUHDwLgxcNsJobiYWwMziS2SqDLnr3GR/vkJ+8w96Cz/hLXOZb7RGeZOyvu3rMPgLNnTrGyYiiadu/eT1FK2XtZ5uh+vpoMmNsGMpCBDGQgAxnIQAYykIEMZCADGchABvJvQi4qouuiiFIEvk+5UiNNTCSzm2pHHGyI52xkWSJ9Pn0yYaUcEer6XMzZ55goakEi17umhlDy93LokQoCoJDgIuRjIyWaEk1fapqM+cRklbPSAj6NNalkkno6oTZiMis94d+qFnzXcrYVZRQlopsrjQ5sHbj5rbKnyOTvZ9c6jphwplomsIR0EsVt5CEPnhayz8DnwEETDX36/s9RndwOwLd9+/cC8I2vfR2PPfkoAFdcfT1/9/f/C4Cok5IIMWUuY7qwdI6D+wyn1qGDV/PpzxpugH/8wF2U9J0AxBFobQmKzTM894W3oRIT9X3+9S9ncsZkvO+881NEXSF5FR6GV7/61Xz+83cBUN+ooyWzMTpSZX3j4hE+GzLwEHTuUDYo1c90myeS9wWZA7gsgVYO1HH2nM+D0yaSPy3cLnunh8l6ZoIqBUUiOllMFD3Rp+FaiY2GQSosC0JgbKhMJPcQxzm5ra0vagpCLG4bFwx7ikw+24k1RamrT/LcEazaJMZUucCiEJqutxLXUnt7reJIM+13KHhsSAYoi1P8UckyEHDdpSY6X5wx2egnnjhCKCidYrHC2/7KZANufN5NvPblJtu4tGrqqu+6+6M89YQZn2uvu5mhSXM/r/rWHyCqS/vb/ft57bcalOHtn7wdgOPHT1EsleUefILQXKMQhnhSN/+qVxpi+416kw++96/N+IzOMiIcHkura3heSHYxEpMiSpmsHSCcXVvbedsUhvDq5Tl+YBEWGqtdrQXN4f3GxrxAxvXAzBBRx8zReM3Hi808hZGiK5ml0WqJzU3zvfVho1NDlSJtmcco1o6jJAw9asLjYJGiQ2nmeBySVDsbE6UZ64LOGpGW7lOlguOH6CY5bfn7TLnsiOszIdJsJjm+cBDEaUwm68f3FPsmzdwsnDa2otfJqAjXTpynjjNH+cpxVFjCWPSWe8xSWi1zrSPnYohtlq7ixtUu5TwDz7NorP64K6X6/G3CKZFlqeNwVCp0qAlQWzLMF16UUoTFEsNDNVpNkyXbrK/TaRoUg+cZxAfAc2+4CYAnn3ySd/z5XwOwsLDIo48aQuiVzXl+9scN6fHZuz8HwM7xGl5sBqRa8Pt7Xer1bdNQmdU1Y5NWp8y/o9Wy06FulJHIPpGXfMKS5bkx1x3qaWe7kiTHt8jLRDs7EwpCbqQUMC/ovXo3IZM52V6rOEJ7+95/+Y0/4HN3/JN5jkPXsLBmMss6rH2NUU1dm+o9B6/i5DGDlvizP3+bjGlILvxTQyMTXH6pAZy//Tdewcz4KAA33fyNrC4bTpxz8wa9MzY6xvnzptdOtTZKtWbW1erqGrkoXZ5Ip4Q8I3f6m6Fkf1fKR2c9nkWYe8FEgQoko91vppA7nrqt5M/2X9/5VdrTDsoZrwYcWTf68ZJJ85zbhgsUMjP3lRAyyc4GsaYnHGVD5ZCVVeMvrQgv6WitTFeu247zfjMelTAq3DRakFBhp+d8kizPCKwupdrphW1cMRL6bp+b3+g4hPj2WsU9pgBiaeQ5XtznVE1btrmCYteQsQHnm+bDnU7EjCBllzaWKMs8d3sd4tTYXd/yz/jacSBGWQoFg2A6frRHvG50Ye7sAiHmt7sdQVSvrtCNzDiFhYBEqgdAo3zLn9a3QQ6gQI7yLQoyN6hJvjp3yf+tlCtlrr76Gt77nvewKQTqL37xS2h3jA3/rd/8NXLxYReXDB9dkmauIYnW2nH6nDjc5bExs5dfI2thx1gZLzbjWA40mSAc/CgncvoUsFE3Y7M5YtZ0rVJ0+tSMczJ5nWcJo+IDZMJRWuh2HUF9nqR4Fm2da4dzsv0DJkshC21pCtPr26bZaplMHPBNq0NeTi46kAF5y1aWKPZPGGTIo8vGhh8/dY7/9j9/DIBf/09/TC6MpvXGGlOTpirgRc9/MQBz80d43wf+FIBWM+bhcx8B4PzCMM/ZZe7h0gOX8ta3mYY+Q7J+ts1OU5SGNpVKja4DKge4JveuAUWAFl5i7RUIhOcoTawOXhzRKJTytvjg5l3zum97LD8mOnf7syZ19796OufsHnOvN8petGO86mgJKwXIBOkYJtCJzR8qxZCVdfO9SeFSKpeKdC1XaJw7Lrwk1IyJ/QpC47v5ncjpkta4dZ+lGm1R8/Kso2HAkuyJm73U2abJUpFIEDANQbEGXooX20qgHqlopofndOkLp40tibKUqiCUc5UTWASj1lvcH7kX33NIol6aklXNtY490jQIeAyKVzlkonCOtTbwQkFSezlD0hxps77p/CKLcvOCEkr8P4/I+ZUKz6G7LjjaVHl4YUnQ+NYwKvdaqa3AWMs/lvX3RL/k+IMffSLh6peZNTguRMN7podIunKeCxW5Z30mRVvsWTEMWatLJUPV/FurlOjKD3eSzDUMi9OMivA/IijSsB25Rix5mjn/NklycmWRiebfobJPJOO+GaWu2mKyVHT8aHJMYDPJ8G0lRDchlZIwpRT7ZB+/6sAtANzy4ld/xSFeWDOcygWJVeycmWWkOgLA2XOrNFIzfo8f3iCXc8nTz5wky+TMExt9VUGwBUXe5zJPc0UoCOuVNYOuTzNNtWL0rlypYTuSh9ojzWzlxle85X99gS7P8yhXhqgNjbCxtijvpY7E1GixNYZ25/LcQs1y7QJZOle85wETnPqOK8xG21huO/LT7V6BUSEj7OYRa0Kyt2+oQE2I3qzhyFHs2WUCWt7ZdXdYGh4O2dw0wY+CEJ62yRmSMp48zkjsoYGcksANtTxPKfTpyf2Mj5epiKMTprARmUW02Db/Hls8xxU7THnJ67/l1TRWTdBrYaPJtl0GWrixYZySVjfmwccMmdwtN9/CZsPAAleW65xfMAGJTmLuW2k4O3ccgLNz57jsgOlENVQdIxfi8iDIUAVzyPDFgDz68P3cdqvZpJ8+cprKOTNfZ06edE7/jt2mJPLJJx+nUh0FIE16dDr97mi2o9zFoMEEbYJtOu+XALhCVvcRuRcbpEhxB2OU68KW9DI+8YxZ2K+73JZrRH198guMCpy6m8Wstowze3DbOEqI+nz6zumunUaf8lNrZNIpZqgUUBLPtiE3Vs9SVCJG0vdcF4+OztxOEkh5VzfNKNrfCD3K0qUwTXPWusaab8hGtb7aYo90MJquFfFlc2p0Wxw5ZjpEjQrJ5Te85nV86q73A3DllVdzxx3/CMD1z3kun7jLBKru+eK9AIyMjrHZM/N/5uxJ0tg4x6tzq677y5lzC/zVO//K3M+GlPYo5Q7mteFhIgmcdKMEnZpAwH0PGEL8JOmx95LrzPhlETc81zRh+MTHb2dpce6fLwO5QKLzzJWNeEEFVxaQ9fqqJOUDygPXMgqvb7N8jyceM/Ox/Xlms807HZqya42pEiNi7LtZxLqM59jwGEFQkkvIAdv32D5ryk712Q0HX1ehspyWyNmOps4Yyvod9WJxTiK0I820TTWaceaKwvyST0lsU57lLEuJ2aIlKO0lXCqdRbcNlQjlIHx2s4U984+IY9pqxnh2/HxFntnDinYd/qxfQo67xyTS1KTTUlpX6FRI5f0tcWvnuAVo6S61tfwnTyJ3cUvEHQQhuVwgzxO2sOS6MsaLIQqNR0qv16HTkTIFDfW62bPGxsap1oxuHD9u7DNZj6eeMsGtb37tN7vX49unuPcJcTDkubvdjK4t11EBQ5Kg6OYRKy2zJg/NjDMzJU1YZIwSD3bsMPrE2Q3XBbZaCCmIhluNbpPjy9+9wHOdFmOtneNbEIL6dpwR2lKJ0KcijlSeZixIImBRGh78l9/+TX7yTW+QH1lldNSQXG8kX8t1DvjT3/gAAF946lO8d/E0AMdOS5l/aRTL93ri5Fn+/C/fAsBVl34nP/jdLwLgF3/h56gOmWDHj//kTwMQqpRYDk1pGtOV8m/PV66DsNMVP3TE7xrPlXHoNDLlRBfDNimMX7+lo6bW2jVNMYehLV2FMcEUZRe90lu+F/PU/eZZD73K2Jok1mzaQLfnMyJkyx0Vsdgw+9yhbeOuO64NWEcqZ1bKGDm9Rix7WxgqQtElWwbdA3w5AHiB5zqfReBIsktSjhFlGUVZx7oYUAr7ZZA2IDEn/lwvSrhcypVmh0oEYnvO1tskNnAm191Yb9NoiV+k4OTpEwCUi2XqDbNP+UJgTo7z7XSuKLbN97IoxBPLOTExzPnzSwDUN41T39pccQ1jXCDC/iD2sGj9RL3lOOdtUR3fBZIuhnS7XZ586gm2b9/GmnT9PnPmDMeOmXXU6badu2TLldM8xx4ui0HoggSFYsAXnjC+4cxzjP/a6/Vt05QKGJK9patiFhrGNh2cGSe05fIyConSbN9h1qY6s+r2htD3CEW3bDljrDw829DK95w9ShXu0F6Uee/GGaENWBQCQr+vT6sSnF+Rk1ajE/E932hsxRte9+954B6TDH7fRz9BIhO0b5sJehant3P9c64H4AOf/CuGxAfevm0nSWLG4h8++kEAFpfP8f2v/x4AlhdOc+/9jwGwGg2xLr6+OnQlUzPme8NDtjtch8eeeRSAagG0+N6qWHV65GzU1jJvz3MHaxWUyXubX5YAvnCiyJ9t95TnmvDoPAMJmtqyU1UoYNsumkS1baTh8dCDxhfc+WJzput2UzquM7DHsNWlNGZJ9rkD02OUxP+wEc88gG3bzT7nnd2gF9vgEyibeJazSYQmFz8/CPrE9Bma3BLWyz7XSzNcz+eCjydrPM9yNmWtrEmiaa7Z5aoZoXkYKrkOq6c3Wk63xyTxfaYeUZFAl+97Lgmmc4jFV7aNs3QOUdQv3StJyXfa0njYckOPUln2fqFxiD3P9urBDzzXHVvr1O0PmTxvHKV9/fJKLogZFjynZ9LU9sKKtr6bevab2ATBlyV0VO46n+t0SzdPfD78uFlX/26v6FIvoy164KGo2uYfxKy1zT63Z2oEJWNofylFs327dHA8vUYvtX5X7sZWe/3u4UEmAUJfEYtepWiUrJGq7aIe53a20AXfUUfoLGdDShrnBZTT7sVcOW2uu224iC8++Fy9TSS/cfQBkwR96+++8yuNLp/+vKE/euxJQ6FR36izvmziCtdceQORBAIP33OPAxX5AayvGQoMJWdOdH9d+75PKmcYpRSbDbNXep55r1AouKTFM88cdnaoVCx/Xf7SoHRxIAMZyEAGMpCBDGQgAxnIQAYykIEMZCD/JuRfIaLLp1IdotNqEkhbbuVBtyOhYWVTl4DXj/RZYnoFDhqkMmUg+8An50x279bt4w5B8MSZZbYNmahnTo4S5E6cZA4ieL5uorgjWcYuQc1Mbx9jXbJpOVATktbEkhgn/Rat42HBkNph2sQuSllKRWbGC32XBW0kORstc5/1XuLgj9tKJtq8Z3uZqclRAP73Rz7J1VeZluuqoOmFJvP/khcZhNUfveOXef23GqLdkydP8ZP/0ZCHHzv+NG//y18z97shKLhM85xrDKRxdmo/d33OtEOulac5v3zK3GieEygT3b/syuea8Xv8UR5+1GSdrrvuBubPm8zfzj17OSbR4ONHDTJobGybK1uY3jZLp2NQZd1Oy7WhvyiipZRVqa04jX6tn86xUBZHtrilNa7W2vFb68hzxOJ3nzeoi+ePTFOQ+X383DLbpL1rnuWuDLUTxa7L6tl1M//jecZ2KVmb2DFGU7IIaZ45GLfVER0ExPK7Q/iuHXGc5iw3TcbKMuh6ypS1AvSSnA1B3tSj2EGo940ZZN5wMaBULcqzxTSaJuM8PFFlPTJR+R/+7h8EYGZsgn37DNLvzNmj1KpGJ9/+jt9japspWT131kBeq8PDPH38QQDm59Z46AmTDZiZnWH+lClziFcW2KxbCHW/rCwS2Kvne6SxbUFbcKWua8umfGh8cpojR5+Wsc7oynrcNjtNGCoWzy1xwUVaG5NGLsmgQuVITJVf6iMkXObU69spnTl0oG5HxC0z53c+YJ75Tc/bTVEgvU/NrzJWsKU7OUp0qRelZLKO5oRAeTTPmZa/T+8YZW7TjFuuc5chKgSW0LhILHmoMoqywPiTLGdBbFMm2ahyyXdt1DfjnBXJtDeTjFSuOy3Zm5HJqnvkKE5pS0amnSY8dNaslYbo+PSuIaItLYjtUsy1pliyyFzJciW5KxkISwUOHzf3mLdDyG0bdZ9nlWMBeZY65JZOI5fRk4mQf6VcLsv7JM+e368+JdgCLbvwkuc57VYHVMe1+Z6c3sYrXn6b/D3j4ccOA7C6YjKPuU7Zs9+Umf/Rn/yJa03/3Bufyy03m/LGL95nMt57eqcoyt7y2NklJsuyP2nttDNOM6dP8+tmrxvNMqYkKTe+fYRNIYrO89yV+pS1Rd6UiGR+yhrXYjtKM5akTNvqkxd6VEqCnIlymm3z93z7HvzQ6MPv/MwPA/Ccl3zbPztmE19rUIGPfurd5nc9jwN7DgHwxNNmn1pbX6XVEKR0mnD33WZcv/CJX+GNP/T7ABw7eoTJCWPfeu06AGGtxuSMGeul+bOubEvrfimsLQlSYcWhp1SuhRTalPF7vkeeb81EXyDRGqzOu5R1H5Goc72ljElqADyffhOHoE//EBTxCub1Z582mdc3XDpLSRCmj82vMl6yaIG+75VnGYkgK5aMyaeW5kyKLk3vHGNeStGStI8WLVmbWSsRiZ2vKKiULIFyzkpbbFpqS7AUQ5L1bmfQEXL3+Sh2yPBpQQONDVUciqMXpc52NeOYdHwvAKePmkYOUztrxIKk9zzPleJdeugKTp4z+82uHWb9Pfb4Y85WFKpjPHVWkOmbGVqQ+5+5+16qZaNLHUGYTY6P0xJ/ttPeJCiP0he7scieshWhoHK21uSri2mbsoxmo0mj0aAiZU+1WpUTQp1hkB4WySi2AO1KfWKdogQNkiofX4jnH1w2z33r6BRF8Zsem1tjvGR9gT7aSuc5qdim5YZBLdTynEkp05vaMca8lPFnaeay+tIGAi8oOoRVCU1FCLmjNGPVEn1bNKqvqAq6qx5pGmK72nlKJn7hkIz3zHCNzqbxL4oHb+PJd/yhuW6WEkyaCoaONKA6c+5x5peuBUypeaNZB+CyS67j9s/8IwAby2Z//Nu3/wOnnjF+07GFmAdPHTH3uFrnobsMWv6e+4/ymbvuAuDJpw7LOKUoWZvtbsuhxnW2pWRr614oe3be28QvCdqSFK9YIe/VuTjiAVuqKrTe0oQqx8KILBJIadXvJ6Q12pbEphDIPN1z0szBa2f3OqTLE+dXGSv2aQ8skk1rc64DWGma9R1GCZNFox8zO0Y5tyH7VZYTWr52WzJRKRCLLlYU1KQBR5xkrIkuJbYLUKAoij/WSDKHBD7dS7CU/LOyT47Vys49jKKMtqD/u2nKg2eNP16X/XdmV41Y0KrkWb8U14NqTcof5RmzTLupL1YqPPaUsT1eEIAg4T2liKVxlS2l8/yS8wf27drrKoR6UY8ss36AuccgUIyMGP1Z22iDIMmzLLxoyECwxzNvC9Jn636qcGEP9/e+D648v3++UxGpoEo/fcb4TN8wugffs7q0wqgoQpZrvKxfohyL3VgWXSrGKdNCYn/t7jGWWkYnVK5dEKZqJ6xaoidjXFUwJGXZSZqxIlRJ9r4IFUPSGWEtytgUO7jei13TlElZO4cmylg3N01yeuIHdNKEh+cM2ur7f+inAOiyTirNVYaKu6nL69Fije3bDCXSNZc9D4BjJ59iQ6g1jp8+x1PPmB++9OAB6uvmmV76kpdy5NhJAFbXPrdlOszfw0KBVFCMXuA7m+rLvfe6bVeuqLzAUSokaYY7PH8V+VcX6MqzjE5jAz8IaDXMBoD2thw4/s/SReVtCX6pPo9BupkQ7DOb2/aqlOO0+3D+zFPMi9Pr+xkV44/QaUUc3L8HgIYc7q7ds51TJ01wRmW5u5+VdptUghvDslknvkdJ/l4sFwjE+HSzjHGZzFgmr9fT4Ns6cWiLgsdaMyqOXku4yp5/04uYGTdBilOnTrK4bpRv+45DKIxD+jcfMJ1cLju0h2eOmMDDi275JnYPmdKPa3Zdw4c+8pcArK+a7xPARG0UgImRKqePmOCWT5Vp6RKzsnCKiXHj6B8/YYJXoa9pSUfIbq/HU08YPpQ8S/vzkZrx3Vg7D1Iy0O02XdAlvijY1i2itDFyWrvOInpLZ7VndXxxBxDp0ghycJCSns2Ewi4zP7tkzuOkjfaMI5h5MC9lpr6XU5EShyROHCTZBi8v3zbhShryqO+QNHsxsUCDK4HtGBTii+McVkN80R2Vpa7Tp4U5K99nU7pwdBNN13ZV9DxGhAulLi1BpkaKFCz3QS9BqicZGp9lSoJhv/m/3myed3aGFz33CgCC8jAnZk0wNMs0n/uC6bJhOeoOHtpFq2EMa8FvkooxnKuf7pfuBSVigVbPio5t1JdcN6ooStHKwnt9VG4cg04kzza/QLkkXfVUxLpw+MzNnSUIQgevvrCijCMWlPEs75YXoGxporf18CHOOtqVOeqsz9ej8wJBzdzjJQfNWDd6HSq5KSXtZCkdqTf0/ZyK2JZeHFOSkhCrS5dMjbKybJyi9VbPlZR0eqmDk5flUOGFIaHYo3K1QGDLOciYkIOAraX3/ICGzGkrUTRlc8+AEQmAdWS3nSx41AS6H6cpnZ4tj1LsnzIljScj42ylaeocwSTNnT/ieZA5R00CT4GiJPDxcqlI1pKHy5Tzb0wZgS1/FAfDK5BHttttfxtUXr/TUG4dF5TjEvT80CU55NTFxZIgDJmYnALls2v3bgCefPIJvvSlLwEwMlJlYcFwRB281Ky9E888xulTxj4ncUQuSZb6ZsIn7vgH81z1xwEo6xJpJIFMpTkvTlnga8pF8712p0dFOgRafTo4Ncb5JWOb/LjfgazdS926qspc+8UQX9ZkuVbEz/qQ/ZGCDaxZu+rRkM6PrQhXIvDCK59DVezxhjh6/xJ58txhjjxhnvmKQzvwypaXZZSTp88CMDFsOpV1ozZFcXQLVU1SMbrpB0O84hUvAeD9f/9eJqZNeZCSdd5p1dlcMdcqlisEZVvq0Bb/A1Sh3L8p23VV58Zxw5To5Lnqx1kvtCgN5K67kQdu/Xt+SJ7aLrZiV70t3eVQ7gCs85TA+N5MjphrzXeabCubsYryjLmGmfMw0JQlWVhvdalJcjIWR/WSmRHOiS6liaIk3RMbnT6nS1ne80KfwB4mq0UCyx+pNMMSsLVrU/kem2KbOl6BtvD1RalmsmzvQUqNQp9h0dckz2gKiZEfhlR94YOaMt/J8pSSJIrSHA7uM4HSw088zNi4KZlri45eftnlnDxy1Hw/jEmWrW3vl4HGcUyamL3JlpRt33UZc+cX5H7B8Q/obEuSrV+6uJVGwbM0D2nkSqIuhvSiiGPHT4DOGBo283702BFXSt3cbLgAV60m+1ez4TqQaqWIlRxstMf4sHn/qmHznU7cIUuNksVknG/ZEhdNtWjGwOiTBBQ8owuHpkc5vWjKIEsxrrvvajd2AbKK6AqBhxK9KFeLBNrqE4yIPmSOG8pjU7rDtuK+7kQ5DNnEobw35HucOmZKWt/ywy9jXSgqcqWgaZK9q6IjOTnvfo+haPiu7/hefuM/v92N8Zk5czB87UtN4PS33/IzzEybQNlP/sR/473v+iwAP/2zP82bf/1/AHD48RMclwQfYmt1lvRpi3WEKgzJM/kuIO+5MvG074NlKZkccL2wgMoiLpZx0jpF+aFLvKG3FOVu+UmbNNSZ7gd7fdwSyTPNyKh5f7dkY5Y7K4wUTQok1hnnm1LGF0CpZp613mhREFvek2XznL3bODJvuuumSUBV9Gap3nZ8SxW7zxVCAhnvcqXgStM9pRmSwJuljOjlmkQCbM2k75t305wJOdN1LIih6DMs38+AltimTPc7+j3TNnOUppnjBkuy3JVPopQLjOQSsPJD8BPz7DVfkXdkL45Vn8IRv3/MsZ3BlWZ41IzliRPH+yV/5Fu6LkoyUhdYF9oRj9TxCOdJbDgfL4oo0JLYVJZHGfoLwOvrk7flPLelmtF2RE6bmuKoWR/Pl7HudCNC4aJMdM6iUPeEPpTEZ2q22xSl9NwyKVw5Nc4xsenDmee4SltR7DhMa8LVFRRDQmuragWU6I2nc4blPGe5cZXy3X5Vj3K64oNHuWYksFQUVpc8RuQ3Et3XJY1i/4Sx4dt3G1tz/NQ5zp89DcCXHnob46PGP3rjG76fX/mNnzD3I35EebjMwR0mHqKziLtOGru1nGeMDhs/ab3e4KGHjN/q+NTzxOlMt9ujNmTuod2LJIEDqQ2aFgJSOR8Uy1ViSZIMDQ3RbNT5WjIoXRzIQAYykIEMZCADGchABjKQgQxkIAMZyL8J+VeH6PJ9j9pQjW7UI7CZtSjDYfK8rZBFK1sQXWiTDQBQis6aiciqmi3hCZgeESLxpMSYwALPrjXZPiHkjhspZ86aEqmJaUMwN19vkBfN9/JWu09Cmikq0nmi1xbi9mIRLdnqVh6TS3R7M4rZW5KOMIJoiDUsCRw1jDNKgv4olQMCiXrWqua9I4e/iLf/EvNZlfHiG64E4P7T69RGTNfF//UTPw3A//yrX+GqK14IwMOPfZ7dt7zejVa1ZuCm2pcxCQtsNE2W7NiJTSqjBimzcHLNRaaHRmapS/cd28lvcnyKmVmDRHjqicdd9lh5fZQGUj5AnjmostZlR6RIpi6ulmpMGnhLyatB3fQLGftsr/1sUz9ZupW8U7MhFXGTu8xzFXTINiGIXOlVmBB9OrXWYMeYGcfmRsKYQItDQdacW9tEGuwxhOe6k+QaQkGWKYnUD5VDWpI66EUJdYtWUjAp2aBQbriXaxf1Hw59V+qhQ0UgzxxIpmOjETMqWfxmO2Zcxmds+gBUTIT/ObtMducLD/6j64J69vwCHSk7es511/Kim77B/N6oyfZu37mLXbMmc/A37/oQWbol22KZLvHYt9v8xiWXmRLcuXM1PCFaP3HsCOWhUXOf9QZItyLtkGuKdsegCcfHRx2qIk1y4qjtunddUNG5KU/yAvLMIkGDZ2Xh9f9hm+jbK7Ulg+ZpckHp5VImMT4+xuiQyfgtR2XGpczrxOomU8MGLdKsJ4TBs3Vprt6iIRm9MDNEzWAyUgVXoSvlZcWAWLJ+SZTTtJ2G0MxI56tRKWdd78b0pNPqsPJpdiwiSDl9K7tspE8gmeLNOGP7sJnHxcWuK2HrtkyWZmwm6JPO++DJ97JcuzJFP7QkudAW5MZyOwX5PdpFtLbruT8HnrJICINeM2PdR23yz2QmdZa4eUmTBM+WdqTJRS0PKhaLHDhwiNtv/wg/8qM/A8DDD93PWt0gbZfX1/FlD1yWBiLlcoXRMbMnjY6NcObcaQB+7b/9Ig89ZbrlfuzdBslbqYSMSJnzclRiRJASp9caTMke2G6kFAsW+SK2ab1BS+zGcKIoFGxm3aPgMo3mGaqVkKYgunrdmJaMc5LDhN3rbPenPEc43BkFktxkDI898yTbJg1583f+6H//F4/j2/7gv/L6b/leAN7/0XfwHd/182asyPme7/whAH7mvxiSZxREgnLY2KiyMGf2+cWFFT75SYOgyNKY5eXzcu8CsQ9LJLFBaWi/QLdnkch99I7aklfsIwR9tJSbBYUqQQBR6+LolM4Bz3PZUq1ztrTsc2WKDmGaJ9g9MdcZXmpLF0MyQd61m8Y+zM4WGR8235uMS1RFL8+sNRiXLq3NdkRVkJ5KSj7OrLXYjIRUOeo3v0B5FMQvCkQ/hmtF6tKVN4oS2qJrObhMte3E2Ms1clm8gk8Um/cLYX+/rgW2M55ye+pGN2OnNGCpVydZS81v15RBJWmv6WwTHhzcY8ryb7zhBkZGjd/01j/9A/d325EviofwpSFoupmbKgRAkTM5afbQ+orRu6efesyVUXlhCYfe0upZOgSYLppbbJctG1JeQCYdNS+WaK2pVqvsk1LpxcXz1MU2ac+jIqj2dkfoOCpl2lLGpbQiF+iMF+SsbwpKWIi3S37A+LD5/mSvjFRVM7fRZlw6YbabEVVBGWvXmbxF01b1JLjmFxqF75pTmX+rpZCW7Iu9XozFimYKh5wIbdOEXDsUz6jyaFn3IcsoS1ncsCAzS0Wfmjiti8vrvOR5xn+54/FjrMqUtNbMr1XGtOtQ/NfveQc/+X19+/aaV30rAL/7B78DQCHL2bPLICR+/i1/xK49ewH41V/8Ie7+krH/D/zMT5NJp3MZEkqlgI6gfqBPlK516sigbWdY5RWl86t519oCcpzOXhRRgZkXays93Sf01pkr++7zBmyptNDaQFQAVVasLRnbOzRkFtzVk+OM1My1JuIiRfmN85sdRkRHW+2EcUGeZlJee2qlQScXdG+Uu0oKPEVgqz/EM6+VAzZFl7pRsgX1rRmy3fSE7L6Xw7rsiVngsdy21ygyKfdpfXGlPAqiS8vdiNma0ff5xQ4L4jclgnasTff9Js9Xzo/JtCa1VXViU/Ncu6bU3W6KCiIZ3iqu2iCP0VjicBlfv0hT6HOCsEi1Ys7EjeYm/YOS3UcCtNggrQJM2xDwg8BRT1x4MUguQ3ci/pvacoazJbLPki0oah2QSZfUcFLRjcWGSROobUG/4+Zyr0xBzhUL9TajQ3afSyhIsylbST6/0cSScaSpdugvP/CcD26J+4fLRTbEf+h0EnP/cpsWHVgK++e5SKojJvyAZYuYLxepyJoetstWBciRno1ewqzc79p67JpHPf6QoRR6z3v/gFe/8nUAHNx/Ha/9xm8G4Jkjj/CSW78RgAcf/SIAu3fv4/4HDFqrm5TQ4lfnnbzfaEFrcqnecodnL0BLp2L8gI7sE6hwC1JQqiu2TFnUi1w4Z7PZ2NIF/SvLANE1kIEMZCADGchABjKQgQxkIAMZyEAGMpB/E/KvDtGVJCkrK6sEodfn2fF4NimwC/rbTFeKDdmaVrTyfq4pCjdALln69VabtmQrc51zdsNkQi6bHiGVFOHu8SLt1ESLi7757C3XXs2jTz9jrhGnVAQ1U54oGkQAEEsm1S+WyIV7qp0m5EJc2PEVG5YfQiLFnoLRitQE4zG/aZ5jolagl9nspnAL5JrDJw0nRDvqcd8zJnM/Oj5Db1E4kW7/M3OtKOLDHzbcAH6g+dznbwfg9/7LO2nU6wCMj5kM5d7t+0il7a3OAirCOTW5o8jlBw1q7PixJzl7xvASDI8argovCLnicoMwO/zYw3i+JTn0SQT94zLKgW2SapABvq3zzqOLyoNjMgApWwnmzdvplv95dkZeq4JrZ648cOS9mSI0Q8Oa1L8HjTYdyTZlaczJrpn3K6dH6EgmZtd4kbW2GV9JMnNgepSnzxkUXeJ5TAk/QKlQYLNhrmE5IWI8erbVepaT+JbfSFO1SB3Jtk8EikTC+lk3oxtJ1L9ccCjERL7jeQErltskCDglXBO9o4epbb8cgEMz5oEXl+a46fkvAeDoiafpJuZ5fvp7f4F3ffQ9ALzuW94AwJ/85W+zdNbwCCnVI2ubuS9URoiFjDXLNXPzhlfqp37uWwD4sz97B9u3mYxmvdFgU/TU94uk2tyb8vtohHJl1DxPnLJzp0GHra+todRFQHNtlTRCFYQfLM+c3htwoGQCc8mg5Sme1X1vS3v4zCMUvpINmaP5jRZ1yf4lSdTXpW3DdDtmnrZPhNQla+6nJvt3cHqMJ8+ZjE1YUpRjQSkUi6yLLlnyx1x5Tq+6WULHIplSzYiyGTJB9pUK9ERXGnHmEBKVYkBB0EGWfzUMA5Yl29jKMlbEriapdgTTQxPmfsNAOdSt8vroIKUUec9mt2QcM6jZFvDtFN20azSH3Otfw/GgiZ6gyFNpZhBUTHtzDHeMcnNkudU8l/lGK7LI8nz5zwJ0XmiJooiTp07yyle+huMnjgFQLVcc18cll1zKE489ZO5F3tu/fzeHLjkIQDdJ6HQNEupP/tcf0KuYjJlF6Z2vN9gUG5SlCeekAcA1OyZpS7vxiYkiTUEiezJ/B2e288Q5IYovKEYF/VAtllgVTg4BspDkniNWTdBkgn6IkwwxldRkfxsOQrRFULQT2rIHVuIWnfr//R7wSz//e/zO234dgLDQ4Zf+248B8D3f/gPc8Smz71mk5eZKj5LlOSnk3Pj82wBotzb53+9/HwDl2ig7d+0A4NQxw0eJhpLwWMZJ9GzKUCcWSZH3eUDTyBFLeWGZNEv73DQXQdSz9rk++l0DSngi++8pPM+2q0/Ywv6M5wnnS2K+c67eIknMZ9MkY75j7P9V28eIxZ8amQzpyvsl2YMOTM/y2JxB3ubKZywz91erlFiVxiyp7L8pikzuoZfmTpeSJKcsPkJVkKLDgceQvLfQSajInE4VA7QYlMjy1fgBc8K/1EwT1hvmdWNxg5ObRs9Lo4LWz3xysT2eUtz1xbsB2LVnN088adaoJ2jTLM4ZFj6wdKRAJgTEaG8Lai53vDldyxmocpRvfk9nMchzotMtiK4+wXLuUMwhnqyfPO05tOnF0CalPAqFItdc8xyOHjXPvWPHDhYXDQdVEIR0msKpIkiWOE6piK9r/RWArGd5deBsKqjAdoskloqNLGNZGhJduWOcWHzkockCPeE8LQqaat/0EI/PS9MUfEZkD6hVSiyviT5Z918pR9ic6ZxUeADzJKcYWJSNud+qhyM8T3spmaCbJkshgVRftOV8oJTPWmYrNlI+dJ/hB+zGGVpQf1dddwCAc2dPUhMy/3a3zStffxUA3/qtb2JxxfjsP/vzvwrAFz7xl9z5OYOimOt1WJszXFtv+v9+mYceegSAMyePsnObsfkbdbPH9roNCmWDUozbcZ+bSG8lo5e9Pe2BoNG9wpBBfZn/IX8WqfeFFIXnB4LGFwRIFmO7hin0sxBFVjzr6+nYIWSzjiYT1FMuCKuz65tMCVwvTjIaontX7xh1flNtwqcntslLzFjsna5xeM7wQOeFkEllrjs5UmVhxdosGRMvJMul8UGeoQTFFce5OV8AE4KSngw9ZyPiTkLZs/5YQE0Qr7Eoph8GzAsvbSfPWLI2MdP0RMdqY+Y7vqdcow0f+pzrYEi96E+3ToyfBpCWirZvBEr5DgmPxiHGbYM2D+3QanmeOw5mnedubynLmkl0FQFtk6YZ3cye6dItZ/OLIK5RgS1XyNy9abeb9NF4hoPVvRKULOQdj+IO870VQdjS7RL1LA9aTFPO3lfuGCaSfa46ERDJeQ6rSzMjNM8L4huPaWk2MDVc4/yKRcEKQtH3SR2nbIpneZajHF/QhtWK6GKgHK9v1EkoikM6XAqc3xxZlF+gmBf+5XaasrRm7rHZiUHiHze/+MUAbHbPs7ZsuLYa6+e4x/S64FW3vZEHHjOVAeUTJr5wy3NvY7JiUMmfefxhdGQqu8hDdu42du4zd37CTY9thqOUQluyzzwC1ecAtU25VGA5HQMQG2/QXlZHNV+PWfpXF+gKCwWmt+9kfW2hvyBNtMG81v0Al3MKlGKr0VSOKDpn85SZ+HRCyJPjhEumzGb0hXOrjI8LTLGbEGozXMdXN5mV92/cYTrNPfTkU2wIWdpYuUBBjOwTqw12jpnJ9ENxrDyIBUIa+Rolh6hKmtGQ59g5ZDa/h06ucOkeQ9K22umQWrK5boYWQ99H7nmO/LmtCpTFGd1z6AZmdu4170ttyNFjT3Lrza8GYHH1LPNzJvBw+5c+zp695qC0WjfkeUeOP84rXvzt5tnPnqUgXUtqusj6mnFsrrnmeczPGTLevXvM96++5kr+4f3vNdOSdQlEaZMkxvO2WmFAlbcYP+WCW8oL//lyrwsmShz4fjmBWThbXjvH35IbZrjWnQTgGV1QIXTXBeoqgcEw0ewaMfP05GKdmUmjC+ebEZ7gWk+d3WB2zOjkzpqZ60dPLNMRg3tpreICVgv1tiu/sLDOVi/+/9n773BZs6u+E//sN1WuOvncHLr7dg4SkloZSSCBJAQIg0E2GLAN49/AEIwHbGzAGKexPSQbxgEw2YARSEJCAQSKLanVUue+3ff2zeHkULnqjfv3x157V7UE+Dcz9/78wFPreaR7uk6dqjesd+211/p+v4tMgof2J9OD6Mb0hY6yKKezNUyI7GSz3T6enW5BTm5Fxt3l1gxlgdvuD7njuBFC1VGD/V2ThCVSybjl+L18yzeaCYwHD5/ira9+KwC/+Pu/xvKC8eW9rvGV173qK/i0+igAH//cp/FF5T4IyiQScEFx6+2mSPqB9/8BANeuXKQkz9DB1SU6++YYiqz/wvsBoBQVmZiTpBklSfQazTrdzt6fQW++QVaYyWZeaGc7TVFLlOdikpLNi/YSV0TRRYESIXmlFEnPvCc4aHxpnHrce8AUkZ86vc+BRXNdN7uZS2Qu73c5NGd88FjNxLEnz23QkUzm1nKJSL779FbXQaDtnIX+KCW2E108aErS0uuM6cpif0yKWN1YO38+fXaDQLIoX4Mvi5Y/FZeHErs2h7GjhuwOR47+HEsBJkkn9GffU466pHPtnNPWvlUBNYFgP7GTg82Dk8maUOSZY7ZPBkpovLAydS8kEURNEYXN7/NshLKLsM7+zCL4zbDVlVW+53u/n1qtwvf/74Zud/zYUS5eNjSVuUaNhx56CIAXv9g8K3/zm7+Tp54xDZcHX/5y/vhP/hSAL33TG7iyLgWH2hwAyd4Or7nNUNp//eGLHFg0VI+Nzsih+69e7XBQ/Olo3RSLT1/cpS3x6FSl5MTCN/YGVIWaHcv9a/dHbppu7ikact/jfsJQ/NAKaG8OUyIpeu3udt3ScPT4ce6++0X/Ty8jH/rIh/jar/kaAB753B/jy/r/ng/+Hpev2gKi2TSmZYUvx3PhOuxeMxvId73nQ1REaLter1GWGHv/l5jJQ59/5OMT2o3iBdWFib6yTJdUiqKwxVLP0TvyODMDWW5SbFKe/8LNLcVE8oHiBZsBMLVk7SQEpqcyeqQDeb5lYRkkGV9y3xwA//WhHQ5IzrPbS53A9NUrAw7Pm3hyTIqCpy9u05Xi1YFKmbI0hTb2O5Rlwqr0jOj0h07E3g88Jw7dHo4YSj5xtGyHYOTUaua7Nrc7LoZEvpGDgEkzEa3pS2zb7MfMybTG9c6QQl5vy/TicjQVmwJFaCmYly44OrUtVAaeR7Nu/Oq5AfgtKXrtFlNOUbC7bzY6YcU8fyVPMxiaTZFfqpKL8K7neVN0bEvbyidF/yKfGrbh4Ut8K6SefyNN64I0jfnUpz9DIHlDu9OhIlSmaqVEt2s2PLEcv2ZqWpgfWCYTvlYMN8w5HHv9cQB2n3qeu28zn/X4I7scFJmHvU7sQu61qwOXNx1rmrXuuYs7dOTarJZLlGSTd2WvT8UKOcsa0huOJ/7ke07kvhOnjCU22cEr28OUUPKmnXbPraG+wg3TUG4NAdnzsjdKXMzb7o8YSPGpqJm/CQPNODHFi3IlIJGBBB/9+If5qq8y1KHHH/soAFF1lTQ18Wizk9HJ2+ZabW+zvGjO//LVGmM7bCg2PuR5imQgm098SKTg6vkQTPINQKQXbO6rccX5YqpAdhPMTDovJpMWdTaJp2E4NU1UcqW8oCkyDu1e6p45pT3iXXNv+gdEHFyPed2tpjHxzsfbrMgUu+12SiGJxLW9IcuSp6/Om3XuzKU9dgXQcKhRJ5Sm79X9ARXxBZtOdIcjUvGl0PcoS6Fr0E8oZE200853RymRcHF3d7uOul/yCpcLuUEShUdPYuLWcDzxpcHY9djiwk5kV5MJ8YFHIIVbVUDqT+RMwMS+JZESeWwjdrR1ioJActA8Sx0V2v6+0D4HpJDq+T6bmyanr1SrNEQGYWdPJqMHOakMOBmPRq65Y0LfzdzT5S+oAxi/neR3dj9pJ3hOZehmGyhTkFEB++tS6KtJUWg05CvvMfugX/rkHssN40t77cxN4Ly+N2RZhrTcsmCu1ZlLu+yLrx2oVt0U7as7fcq2mCM3dL83NtMEgVLkU5L8qtMdURaqrVX82RmlROJfGxv7hHKN/SKnsMASz9LkPfoCQNgcjN0Alu3BiFi+7/nzZpJrt9tlb8fc2x/6oX9HXYrH/+m3fprv+pYfBuBbvtk0DM+dfohPf9YU4C9sxQQt870H67fQk3WzKHAD3kolsy6Nx6OJ/FRaTKbTe56LQdo2ozUmXmFy/+kp6ZEdcPMXMPVn1MWZzWxmM5vZzGY2s5nNbGYzm9nMZjazmf2VMHVz0TI33vywouvzJ4gCn709U3Es9KTToKbbqZ6taCq0lnKfF7rqrV+r4dfMe0P59x0vnqMkldBOL6YnHQQ1Tji5MAfA09e2qYho4IvuNmPd77nrdq6eN92WU/UF2h3TTen2hgykdZXllhIJfmgqwaN4RFAy3aoin9AQbXfowvVNjq+aTt8gzp3YaljynUjzJRG2zKbom0vzTY7dauhl23nE9U2DAlhYMlX8l33Jq6lXzM933XE3vYGhif3JRz/An37kTwB4zYMPAqaj3hDx8f/rlz7Kyx804uLv+p3fdQLGa5t7bG8aBFgYmXO7974X8/RTjwMGxWXvS+D7FNqOlrdlWM9VfBWeE1JVKnRQ0nz47Oe11i/lBpryQu2VlzAQBusZwdTP8MXihYXripsmuAjHViL8lkBHD5tj/hu3LNPvWZHKnL1E4PzAQUHLXB8MaQqsea4qouKdMbcdM6LSdzRqDLqmC1cpBWwL7TMWusUwzhiK2O4oSanIZ3gopCFpAT/Eaez8cJzkTmw1DAOHyLnSNh2ZbKr74XkFsaA4Dt39Ksax6UJaquaRAweolkz3evXALbzutV8JwEc+8SEe/uzHAdNlAGguLrG4aDod/+gH/gM6Ncd78rYv4eJ5Q71dWTlAKCPDS3Kd5ueXWF83Pnbq9lOcOWOQKxvrV7EcssDSWfLUoXe8oMqdtxvR4EuXLlEUBXH/PEU2uqEtSqUCjZLR3UJd9PxgQl0kn3TOHMqjwBcERe4FTljRC8sg5+9VzWF+/1uWSWPzc6ef0U5FFDTXrAqSYW00oiFimUsNOzwj5thRgwQ77EeMhdoYBQFXRADSMoiLvCCV8cnDOKZcM58xX604EVsLle6Pho7C2x0mJNKtb9RLVKRbdFV8KdETehg6ZyBd59NbXdfdtGA8j9QND8gL7RA2aD1pBMqxZHlOSbqcjz9ZgFBf9MgDrNh84GDRCGUUrVCCHszTGN8KaGYZfmApWIKOUMqdpy5yh8ZotObp98z108mFGx6bavWWvvPe1/Dd/+vfI5e48fvvejd1uSfrG2ucuM0IHf/GL/80AIurt3LqLhP3x/HADW9401e8msfOGKj5TsdMzHjHLQNGsfGby+sD2tLpD7VmWfxpYzRy3bxF8afe/piTx01surNVZdgxx1YOA7bkM2JBeo7GKWluUT8p1bqgm73AddksPi7NEof4iJOcslCeKpUSgdB7d4UK8Pe+78c4de/L/8zr9vQVA7n/L7/6kwCcOnYL+22DNn7+4ml+/WcMQvTjT3+Kc+fMe3/zN/4v813lMv2+oWN89uyI8SXzmUqVOXmLoek3WgtckBHad91hoPlXrpxje8vEJiOebDvok3zEun/Z9xjF4odF7qD8eAFeWKIYX0UX4xsbm7xQe9GSeRbsM+R5TNY5jfKsCHHm/rWDF1AToWg0EFqUqvmb7/v6Yxxvmtj3zPldOokID+cFBwSltz4e06ybWL/UNDlNZ3fI0aMGjXKsVGIgdLdaKWRrZH4eWfp8nDtf6scZNfHHcrlMMAUGBxjGY3wJaoNx6qjJXuATSjf4wq7Qp5mgtLTOiSUGn9nrEMqgBS8SdMkU0qQoNIcPGkTkeDyg3bGxVKi6ee5QFc9vtki35LpmPr7QoG45foSr18xgg1jQ+Hncc6gCL6pQiJK05ys8Sy8VK4oCT74DFZCPu/Kz7wa7FMOzNydvCudBefhyPcvVOqOhifeLi/O02wZFZNEJTKXmfilwaJHqfJ3YN/leac74zQ+/9iQqM+d66XqfvbGNTQUHZLjB2nBEs2l8wMam7t6I48eMPx0KQwY9yZuikB35jJEIgcdJTpJZNHFBTeKq8gOHRLa06yRN3HOaa41jiPge5cCudZKHo6b8KXOSJWf2u5TKdq1TclwemSCZgyB0/pukqdsD/L1v/x4A5uaq/MEf/B4A73t0l8FFQTeNNeVI6GLjAUvLRt5hc3PbHG8eQyp+4UUvGPhjodGBoP+yNAY7xECDVxZUYJbhRzXy8RV0fqNjU6RVtAyoCaLLCyZyAUoYF/agzBFRljVqnGYg+whVLRNU7NAvc5jf8+bbmfPMey9eH9Cx0gNZ7sTdN0YjavUX5k3tvRFHjswBcLxUYii+1KhEbAxMbEoF8TmOM0YSm+IsoyGMnCjyJ2ua+NIoGTsazijJKQn1NSoFNMrmeC5Zmu1UDl7onKHEgtO7HQKJwZ6gSj0KB9YtCo3nWYTxhCFjac5ZDqHkyhd2A0ZrgipKQ1aWzdq+vbOHxcI4ZC+KQ4cMOk55Prs7u3L+Qyf+3xepgygq48n6EI9HFA4p5blVJ+ufvqGxSfklHVQPgvKxRE4zdGVqnXMDWJwmxoTN43vu2fRbZfyqDEo5bI79H9x9iJogkh57do/9sSCOsozDknevD4bOlxacLw05afdzzSrDrvk740syVEDi/2icMpC4lOY5dbmupVJILvff0u7HyRgt+7lhkjuKnhf6Dil4eV/iktZTO9mCofjlMzsdFpfsACOzTwjUkLtvN+ja2+96OXMLBwH48J++j6/7OjO4pya0ww98+A/43GOfAOCRaz26z0udox84doRBG4s8j9QH8nhIUDOxKkvGIAMndDGeoEptDPBDkyuB8R/ProPaxE0gHfz569wM0TWzmc1sZjOb2cxmNrOZzWxmM5vZzGY2s78S9pdOo6tSqXDffQ/w2c89g/JNZZVswtvXupjoOwniqci1E//0AiWjRyEf96nfaSqKdVPIJK7P0bliRMDP7/c4sWS6lNXAZ0Gqky9banJBOg+7O6Y7/qEPXuYV95vu3pm9PVJBMgSFZkO63Fb8b64eEYqAeVAp0RY9p7wIIZhCfwBzCzU68URzzBY626OUkRW8F754L80cH3dtZ5ehd838vnWISFAPa9eMJkn7+G0kVdM9u3DxNGPh83/oo39IrM3xfvaZRwHY3u3QWjQV3QsXPkcjMBzlU7fczajfNrfg2jZlEf+2qJR2p4tW5h6VvMROAEZnMXimqqulm6V1gSdCkwUaXzqXnh/SqJvuyK6d2H5DTaG1Z/RHpkcXq+l3TLjcxnzX3dPFpIuiC0XjkDnual0QJzWfZM9c56fWdjku/lTzNEcrogkQ1Dkj1yGXjsuRA01aIjg4LPnk0lHuDGN64nupdLq1B3MVcxCtWo1Y6teeV2ZLxCu1CLD3hjGRcPCzPJfuJHTTmETuWxRZkd/MlcKHccqadAYa+31WDpuu6fUNM4DglS99CevXTQfxtltP8Tu/9ysAvPO9v0I/NxokB5dNh+BVyw/ygT/+iPmsRsSoP2e+b9ymXhXBwaJHJJol165eAuD8ufOO57+wuMT6dePfWudu1HatZv7m3Nln0b7lhIc8d8Z8RpH1jOBmMbmbN9SUhwpLBFYnTRcw1VlyAw30BNmVZoIaDfVkrK7KCUTTJZo357GOT3lofOnJtV2OLZhzrSo4Jt3NVd/jnNVsEAHfA8sNGiJyOo585Ovo90eM5T22U7TUqDhRzUqjQiHxyIsq7HVlRLky8WqvN6IQpFQ8Tp3eVzfN2B6Z91hdinGcuudnnKRsdGWwwSAmEsHmetkiqQLX3fKmHsVMFxSCOrFjtMsqoLZodO2qjTaD9YmOkO0CF2mKsvpzvhVXLdCiVxAEketYKi8gt10kMQUTrQr0RBNHx3jSjbVN8BtqGtA5//5nfoY3vN6IhP6dv/Pt/OzP/RwAP/TDP8LXvPXVAPzqb74bgOXVQ7zv3ebnu+67mxPHjgHw67/23+i3DOKovmTWvI1gif5Vc0+f2tjl+KKsdQqOCgrnYOTxvMQmK5p9cKVBQ+5V29d4Mh+7PRozcr5nrqHve5Sks9io1pBJ2HhRmV1BPWciftwbDQkECVlkGakMHpg7fIRM0HmvOnUK4IvQXLZTOSpgZ9egk59+7JMA/OyP/hwWN6YIGWO6qWsbmywtmnWo3jTo5t2tPdb35Hnd1LRaZk0f9LuEvvmMo0dWTNcRHHIrCkvObzzPN8gp8w4nwD2yCKXxGE+eq/nFVfYkhwjKFdA4sfQba8qscdPILKbiTZFNDVixOlChEw7ROsYtBl6AJ8+hJ2vYpW7OeM9095/a2uPYnLmPjUBxQnRFDpcCzkrOYoWiD6/OOcH2YeSTi9BvezgmloBhERGe79EQhFWrXnMIY6V8epJDJYLC7I8mSPkszRCZE5I8Zyyxo2I1wOLUxZhRkrEmOkp5rPB8c09rormoVIlE1l3fh4EgYjv9Hoh+ZCIC1yUV0hI9m3AvIcms2L/RZgI4+/w55x+RXNM0KpMXU8K7goQotOcGBjgAm8LdzyKLUYLM0QU3VQbH8zxq9Rp333U3jz/5NAD1Wo1cFpd2e88Ni1JW9LNQTkupKAqnrTLOMqIFc83mjxh/Oh+PKG3JWre5x9GWuZc1X3GsJnlT6HHeIqfErw6vtqjL2jsqeWgZ5NIejJ1uYCpoU8/zaFk0se87XS0/jNjvW5SF8avBaEy5KrGpiLEXN8kz9gVZb/PwQZI5hPQwKdxa1+/E+JJ7NQWVlucF/+u3/h0APvrpT/Dc+XNyDD6xxMV//0sGrftdf/sHaB40aN2i+3nKyvjNl73lS/ngH33YfB5lo2MGhIIOKoYjp+fKFKJT+aHLQwrJcb2wRmFR52mMpJ2MlS97K26KKU+hs3Sin1RkTixcTefjlmGgYBxbrbHQID4wez5fcshQ8qZrcUFHhqQ8vb3PkabEplBxizBzDoUez2UvzJuWF+o0xJc6oUJJfrPTH7uBBhatGEY+ZYmPflgmFjaBH1bZEcH2RFDsvVHshPSVhkLOM/EL2jIcqCyI+O5U3jRIctbFlwbdhJYM76lITCyKKdF4TzlUfJrn5Moiuczxlr2AY7cZlsNae4eBy18yNre25DN8l+tY/calxXne+ta3AfCZhx9hPBAxeh0x6Ju4GYQmjwgD5bSYq5UG3a4V0meCYr5pFk/NTlGTvBuc0LkdwKA0TvtVBQEaOygqZeUOc/zLyybX3qyU6Txjrs+TG1O+5ClukXVu1VOclbU0l7VmZbFBVfZVO15OJA/WTn/s1rEstuuKz7zklUFUIRa0mReU2eyavVSWmWPsD4YoWZt0lhPYQTp56hDCZdn7d8exy5OGSca65POjfkKxYD5vMDC5yPzcAv/2J97pruav/r5BvB8+fJD3/eGvmeOR3P+pR59Bzwl7ZG2HoicxrrXAaGCOF88nlSQ5m9IIzMZm2EOpXCO2dQ6/NNEztTrkWQr+BMXlBkUBd95pkPZPff4sf579pSt0xeOEM2cuAWpqQzJFaVHKFSacAJ0fugerSAs8oakE9Sq5THB5wzGT0C6MYi5ZJoEHtZo8qLnPc+ttAI7N1bhDHLwjBat6q8rmlglSh5YbeOK8oQe720Ixk83ffnfMHYdMoaAaeBS5LUxEbAtkNZZTWKw36Mo0l0rJZ9AzjqOmJkVYGtAoyRgnE2HrUs88kG/4yq/nF3/nX5vzl+vwild8KWfOmolRJ4+e5NqGgc+/5c1v46HPmCLEA3eYCTC3nbifn/w37zHnsKH50/O/a45xcJFPPW6uyTf99a+nNzCFjpLAnefmFqiICPi1a9cJJAl94EUv5emnTBGtK7QXzwslgTBrWlg21zeJEzqdm6Cm6kyDTtFMgiFOoB7MnJEvgLpSgBRcFIAnYrFlMy0M4G+/XhKStR5tbc4rinxEP5cAn+t9c14rlRKH7RQmKQx42mdfzrtZL9GQjZGqeWzs2AmYkymJNdl4er5iKIl2oUbUJXneFrh+q15BDpFSKSAe2w2p7xKLofjQKM0YyO89pWlVzbGduvUU5zcfB2BRxBZvOfkAv/nbPwLAt/+dH+TCVVMAO3HsFKpkPmNhzkzmmF+cY/OiXNOkhfJNkLx25ZKb6NJtp5QrslHJbDEUWjIJdGH5EAePtgHY2TjPnBUY3TSB0/PKzC/I5nWvbcRUgag8Ryq0y5tiRY5OYyhVp16cKqDaV2RByuO+S94UPr4UYnJw1Mtvfp2Bis/1M7Zk0xMECtE7xVceV4UycqBS5qAtdFpfwqMj1NelxRp18d1Gw2NvV4qmkiDt9cc05fn1Q4+2ZEB50iWQgkdXkqVauUJPFvJWo+KmgdZKEcoTH5J7N0xTBjI9KPIVi5LoX93pU67aQrKlI04VjzVO5NMPPbRQBYLAXrOCR580cWew4aFlo+XZJohc9kAulk0qPSZFiixLXZEdMleotzSKQuGSRgMTNz/3uwOCF9znG2uj8Yhnnz3NG7/sDXzq4c8B8PTTT3Jo9QAAG9euuvf+1E/+tBxfysaaadR89Zvfwmc+/wgA5XrISIZmfNurTLHIu96nI4UMz1MEFr2vfNZko7dSKXFQrp2dwOR7Ph2hcTTrLaq2iVT12bHdiMJuBKeo1JHHYCDXdNSnIs/ktmwsGpUafemGhIGPZTyNR5q/9k1vB+DUHff/mdfKRu6aB7/6G+Za/I13fAcAKQURoXtvGTuEIDSTE4CXvMhIELz/fX/I2jnxN1Uhjk0ymOWFK74qcCKrpy8+K6eb8+avNBuAZ04/w/XrRipAKcVoJNIFsmnG91zhdHd3w03Vy5IxlXKNm7IFUMjQBTWZ0qeYKvirFxTn7P/bIoXS/kSM2lfuun3jV5wEYDXP6bTtRFNe4EvXZTLeaqXEwcgWnG0xTbu4sbjQpC40PK+qnC/ZhmWW5VQk8Q0Cj66dBpoPKCS2JPJszjfqTsQ5DHxXnFJhSC7q7Jb+MUoz+vL3gadZlM3vRqdNU6YK26sUjxMXzn0volw1m7pe3CezBTDL9tQFjz1tvivreo7mWYpqTsR+NBi4wmYm9yIvcnfO4OFLwS5PBihtGxOW5lFM7pvy8ZQt5I9uqtxzURQMh0OefOopcnlQO92OExSOogoVKWDuC4Ux18Xk2imo18xzuNvZRYkGwlffaSQy6rsl9goRU1dMJBY8n3WZCLtUiThoD2hKtsMWC5aX6pTl9XqjRFtEsq3gd5Ll+KFMrAt8+omNTQMiub429y5FJTcdOFSKTHwnCAJGsuYk8u8gzejJBNvQV8zLHuLafkFVfrZrXZ4X/OknTL596do6ZZnAmOWJyzFDKSb/wi//FAePG4H6uJ1Sl7Xn9LPPkdspfYHPgQNmfbADpkxDRy58NnYbRp323Xe4qec6d5MNdQbjkeRKKhDHvhlepSnyDKW8yfTjYhIFdZa7QsTCvGlq9fp9CqsEX0wasoUqSGSN+eavfgCAuXbCtmyyPRwzjdAPuNqTda5a5ogELS1V8TAM6EqOPj9Xo2GlVaqKK13Zq7jiaUZVqK9+5DOQ2JQOepRkX9OVvLpWjiZ7usAjltc9FJ4cXE9e64xiYsmhQl+xKMWUq7t9ypUXNuDzTLvbnOfaxRsvUmgbC+0yWBR8/JHr5hjbGrQMFwmqUzINk6aeTV13d/f41Kc+Ib+H1YMG9DC89Dy+FJBsvl7kqcu7q7U5styK0SfclF6O+XRM9uwzPVyscP7kSr7Y9phGTaYKZAle3Q4Xixn2zPV+60uNRMHo7A6jzBZbFb74ZRQEXJWcabkccUTyjUJypiAIXA5eq7ZoyPqp6h6dtqXkWZp0ypzEAS/w6UuNwhv0aUp2cF0kjqrlCj3Jn0qBz1jWMRUEFOIZXWkCDdOMnvw+9BULMnRlZ5Czsmr2ZlZS5kf+/j91V+n3PvxOO5SR9Z0L9IV2efa8kY4Z7A24eM78XbYXUauZfVe/u/NnTLhkAkQCGk3zvXgRcWJyKqUyyO1QioncCZlQjsPq1GA4OHP2Iv8jm1EXZzazmc1sZjOb2cxmNrOZzWxmM5vZzGb2V8L+0iG6sixmf+cS2m9MRuISuE6X1oUbQ2kpiuhJpVt5vuv+qLKiLKPTc6n5XV7bpS+0hCMLVVJBwiRRyOqhOQA6+2M6nqk+3nOroYYwGHOfCL3vFQpPYIrdcUxhUVZyEL5WXBMh1MV6mc1tqQQfWKbSNMdTSqVjkIwpZLTuuDdywqOFzsmlSl2Tjk8tCtnpWohqQatpuh933n4nSpBcR1cNXPXf/uSP8s3f9K0AHDp2kksbRqz33e96J41Fcx7bawYpUWRXGUmH6kMfeojXv/6NALz2Td/Bl7/pLQCUSyXqUiG2YtXt9j6LCwaB46mcUKDfly+cIRd0V7Nhrmm3P3Bi9KBI3EjqYgpddXNMa0PrmOptO0j3RLjwC83WiHO0oGH8RkhZRhTv7hlIb3t9n74I896yXHcipwUTcff9UcZOYO7PwbqUzvOc+1YMn3asA5RQKHppTiadwzid0LtS6d40goAloRKlUcg1qeAvyNCAPE4ppAOrQh9PnqFRlpNZJItc7lY5coKoRZGBZzp9aRZTyP3JInNuv/grP88H3mlE55+98Bx3nDT0qEL3qEWmS9veMtSW9z91hdPPGArt8UMv5shJI6h97fLzXLlougRFnjAeWHiqbQNX6OwbWpLOYlrSedksFFcuGXSLAH44dHiZlRXzvXfedQ+f/Pgfm+NNe3geNwc1AeAFqDCaHDPeRIQdD+1U36UrFDYoZLw42QhfkIw68J0A8kj4Xp3tXQZCt7vtQANfbldeFCTSbd4fZuyE4ktCP9NZwV0r5pnu4KME6j4YZ+SWFmRh93qCYCwrWBI6Tlby2ZKhCoHEnSKOGQrcWkceVaFHDsapi02lkvncmu+TCSIk8LTrjgeeJvAm4s5g0EWZ/H6KgUhRaAqJ3b501fA9PPFtpZRDOWpyJ8Se5wNS4UFZdIQuYrcORFGZQu5XoZVDRVjaVpFnDhGs/OgFtGbP+/Piw/978z2PWqXKH7z7V91r3/p3f4g0NrElCH0sm/Rbv/XbAHj5gy/j4Yc/A8DW1hZv/LIvB+AXf/u/cuwVZq0aynqytb7HQGLTqYNNy7xC6yl/GmfsB+bngzUZRZ8X3LVk1paEABUIvSfRLjY5epBSrpfXCAKi0PjL2A+5MjR/N2e7zFniOtle6DtkdmuhxQc/9H4A7n3VN3zRdVpf32Je1pnPPHmaf/Dd/8j8Qpl19f/82X/GP/6+n3Dv/8ijD5v3fvojNBomxh5bNCgIvCZZZta98TCkVrdd6DF33GHi1OcffZx77jGI3WuXDVw+Hw35o/e/C4BCF1RlXdPaYzg0KOxQaEtpkjjahByo+WpPk6XDCa35Rpo2aEQVlvAsikNNDWDRCi3odIdsfgFVaZraj+s+70t3VyVDhnLv7zzUINKWTpM6uureKGVPBJRXzaNJkRbcsyzI20Lhye+HMYwl57DxM/Q8h6xslAJC+T5dKrEhAb0m6PZSHNOV2BRFE+pTL03cYJayxMGSH6IKmzelOCKjLpxwvRvKopRDXhUkDAciQJ8rtMQTL7FIihpKoPlZf4IST5PY0ceDcoVEBI3tmlQulR1KKmfS1FZe5BDPExRXMclz0RPKRxC6a2WBhDfSlFL4QUScjClXDKotHvUJhY44HCVuYE3h3LmYQsv69HuCAPQUJYxD9DKhv2+3HVPh9oNNIitDUmSOgrg3SmnLGnnAokq15o5FQzPayz18QekMk5zRYMIYAAj9SZ+/WQ4o5TY2BVwV9sVi2Y65L+gVFjWlHbixn2XuAz15Jqq+IpPP9j1NUljpkeKL1rq7Tt3Bc+ckhqiCufKcXL+YRNacuGeO2/MrbvBKPWrwonsNCvXxJ5506J08z4iHJs+yw1RMrLG0YzVBv2nc813IOqDCkst5VbmCziVO5TlFPHBojBtrQqsu0gmdzPcmjqN8oU7D/v6+nEfJoYWUp6GwOYA5boDeWBDo27uM5CE4vlKjZJ9DnTGQYLA9SNgTlPiKiPWXioJTIg+xp5UbwDGIC4YDyzKxOY1y161R8ggFQRX7IXtd8/O87AnzLGdgA4DyCCUHV2HgKLNzIpK/UiuxLyDprEhJLF2bglB8e5qumEjcMMgwi1KCwkKoZAZKUCmRjyzqrGzQzUCep46mOJ3n6Kl14OxZk7vfesspLl00P/u+Z9Y1QCP/Kp85YWAoiomgfVG8AIF5w00pQQbag/axw6p0kU3kgdyGz8cOM9BakwuLpbSsKM+bnLYrw2Oub+w4BOfJ1SqRRbHpgp6grMiU86VVyx6j4JRIQ4w9Hx3YQWIFY/ElAcIR+Z6LL82yR0Weg9gPOdc33zFvZytlKf10sm6H8pwPc02aW+qiXecih9YrdO6GIyTJiAduuwWAVIZp+TJYDODtb/xyfvWdvwzAk088zYOvfC0Azz79BABzKwdYDMz7k7UhQvigXGkx7G7JpZ5IStnnWlPQ67UBqDdXmayABUqeQSu0j/KnciblKI2agNTGub/A/tIVukChiSjSPiqYUBQnE720o5y41zw1gUqqAFWVQldF8b89YDbDI0lYmrcu8BmZVlLBxxcydh6PmavMAbDpwQmhOvrCU+0XQ7QsblU/5KJAfoNx7opegST/uado1MzC7gcBVSkQ7Xe61MoySUjiQErObQfMpmJ/v0Nb9J4arSoj2dUrWUjLgaIuD1bmK07d+UoAfuNdv8TqgWPyGWahGI66/NTP/xsALl6/xh/+keHjNhoN1i8Znm7voknQH338KXRsAu/O7i7/9J//HwBcvniWf/OvfhyAeDzAU5YHLZukrS3u/zqBWsc5zzxlaDT1WpW773sxAJcunDEn2u9OaUMVFLmdeOYbrZCbaJ4HmmxKj8TAqCemvuDfFJT4mFKEq+b++HX47vtMIXE0NqvTqZMLPLwh/uT5FLHlY485Itoc41Qz3zSLc0Ue5vYwJgvsBsjjqlzTuRyCyAYBSw/T5BJw00xP4OhpwpwUAVwBQHksrZqg1O326AksttyosNWzulEWom+KXQB54bF68kUAXN26xN33vsSc3wnjV9ub5/hPv/wzAJw59wzrW6bwlOR9Lj5jaIyR6GU8/EnF8WMGVt6aX+Izn/gAAKVSCV8WoaIIJoHR3ou0g5aE9lMPfZy6THArlSocO3GbuW5tUwTY29t2U7cKb8DxEyaQb29tgoJBepMW2iI3yfw0ldpNK5vQ3nCBPHZxyo8iUlmoFD7/6C2GsphK0Xvu2KLzpVLoo2K7UCUslW0RUrMgk6hqshnaH8ZYIounfNbl0BrZ1ERDC1dXilBwytVqRMcWlLKEqmeLnkK7UJpbVwWmPBzQs1Tb+RrbfdEtkXtXDT1ymYiY5pmDY9cXKuSSeNrNne8Z3TzzH9pRezxAC+Q/ys35PnkOsMk4Hp7lcyrlEmEviMwUS0DnlvLju4mvSZrjlwSurvUkqbObW993ug5FlkzyP0+Rpjcj8TdWKpU5deo2PvbJp/n1X/91wFB+bhFK+X/+hV/hn/yIgZh//V83cTZNhnzyoU8BsLp6gNMyadGLfP7m0TkA4i1D7z10vMUj66ZwHPkKL7Eb44RF8ack0ywKTb8mcWV/lJDazZDWXJPndCGDMLSTLKXYriGTe5nkBYXdAOoU6TGh5PfKV8wvy1rX6dDfN2vA+sWzfN23/C9/7nU6eHCFp54xOkGXrp6mXDN0ulfcbda//htzruwZr2/NN/nAH/22ee+lM3T3zabwyoIpdH32o1toS+f0PQbdtvkSDe9/z38HzPV/5NOmqP+1b/9GAD7wxw+xumR86MK50wx75hprjYtjiysG3j8YJsSSOKe5RktBoNJaRGtNlkwXwW6QKZkyWuST2lWB08j0gpJb/2yypKaLuAqUpfYojx/++lPysvn7xVKNh66avCGMAoLU+lLKkujNpKl2elw1aWrtjxOGckQ+muvWlzREUji3zca4gFRb2pkmk7WypDPmSxKT5Bh9vIkvdTt0xZfmGxXWOrJzFDpcLfBJbC4ZeFwSCmZrueKKtIXVDPSUoyspTzEYmUqzh8KXPCzCnOPpix7pnqVY+K4R4PtlCqFhDMeTomdD8oHeaDTJpXRh6O3gdN3ATKwyB6Em1HcvxAsnxXnfu4l5kzKM2yJXU/Q2jySxU20DV1B0c1VVQEXyCY2mkI1N7UiL73uVef4yKU4s3LrEZ66ZTVIU+pSkAJYMM+bFn5K0cFOqa7LxaY+SqbVOsyk+3NIaJddGSS40yjVliebjpKCwU9rznDlp0NgsoVBG/wvg8tY2o6HxyWa9ws7QUvJlQxl6rvhYFBkdmXLcWqq6a2L1Dnd3N/mWv/b1APzme36fTt/k3L5SCPufUBt/evUbfpQ//cPfB+BTH3kf//z/+Dl3XR/61KfN9UtHbG5L7Inb5vd+Gdct0sppvinfd9pmbiqxLiaFVYWRYTBHLP/eHOqiASNMxb1Cu8KwJgdZf/3IaptNdDTDsOQavXjwj77KNCSyWCa4HpnjcxtmnfMC8MSXVJqyKM9knmnmZUJeXZ6zbpwwtrmZCliTc19RntM8TqVRmBSTdS5OC1ILpsgzlkRTzsbazNMsLJkCULvbpbMvzejFOsP4hRp8ldAjdnE34oro5DYXK2TiTIVteHsTWq6nlGPjeTh1FYLCHMvpsxlpVxbgPHB6ep4XToqNJuNi2jwv58QJs75euHTd0fGLcUajbp6PvshoKKC9L/7sKyK5d2mSTTV/b7QpKHwKXUzybgonFWJE0VJ7MubfqUm6aA+vZmNvie9YNWv28Kp5pu47Ns/nrS+FikB8Sccpy7KPT9OCBdEUbEo+1B5nFLLeBMrjuuTQKyhCiYmWfh9rTSbHkxemmWgOM2NJdAAtEzP1FIsCsNnvdGkPTaxZmKuyITm4L1Wzsq9IQkud9tkVKveBw8tsCa3yH3z/DwJwy6Hbub5tNJAvr1/g997zGwCEoSIWLc4Tq2bP9aGHU8aiSe4HFUcr9Mgmz7TOcTHE3ha/6q57r7OBb6m2vk/upCbsfcsmQBil8AR0kRe5e67+IptRF2c2s5nNbGYzm9nMZjazmc1sZjOb2cxm9lfC/hIiujSFTqBI0dKB9sIy2lb/83xq2sKki2GhcIQahD6xfMsSjTlThdYCu0xDj3uOGonLqu+Rdc171/badASlM6xoop5MkPAMgmRh4SCRiEN2Bj1qQlPw5zwKEe4dCoohAK7vmS7dweUmXRGrrTcidgVx1ZgXKGA6ZijvLUplmg0RDC98WiJAPpRjV0pZ1iajtODaluliP3r+I3gieH/n7QZJc+7iM7z1y94OwIWLzzkq2ijJqMm0Nz82Vemjx+ZYu2QEjrd2hrzpDV8KwIM/9L2G1uPugXQYctcH5ROfMiiuSrVEITdmMBpy7qxBGvRkikjge9RkamOvu4+WDlOlVnPw16vnBP11g80I8k6gkWoK9at18cX0RQ+HMvIqEYWI6K0cXaDRMh3GROCvaRRw91FD42tVSmxfN/6y3fPoCAS2FxTM5aaqHwiUr1IKadpJmf0hVek2+g1F0TaHEQtCMEQzTCeUn+6+OZ5qNXJDEfp2omUyZCRY6KGnCKVzWSifukwFtdDcwPcIpAtRXzxGHhh/OLRaZVe6hiePmKr+xz77KD/302ZIwX/7nZ8FzH195uxVfHn2ag2hBwXX2d4xXZGDB49Tk05QMh6QT4lCOme2nReU6zwWKqK9Z7pFQRTw3HNmsEIm16HVKrO2bsQ2k8zHdqZ0kXL4yHHGvQvcFFOaoFx11J5p/LfW3gRu7zQWU1oLhj41TMZE0nX25j3qQoPt7QoStFLmzmMmNs2VQ/auCXpN+fSks9b3NfPSLVaCCKyUQuZlgufVzoiKiF/79QhPJjQNBTURxDkd+X2rWWG/JyitRhnRQWVDCzIhy0lFGDgLQho1ofv6JWRIDT1BrjSigL2+TETLMval819bisAe79RESouUinyFZ2O71s4XCotqZIBOhQeVB0y6RsEEEKgUhVA+3XONxhdqo1bBpKFH4dCcL6SQFe6zLD2IvMAL6/J3N940hgr46lfey+7uWwH44z/+EG+Q+Hvq1mP8zL//WQCefPJxAPZ3D3DtuhkskhaaJ58ycXbh7hbNOXO++xtyLcoBdx03z2SrUqK/YeLGTs+nLxOtel7BQiJC/aLvX45C5qvms9b7Y8pyT7y6R7EvlA07QUjDMDLf5/uK/T2Z3Fovue5zz06SGw8JRBx4VPhEZSvSXvDe3zWTfj77sEGrvfhFr+I1X/XN7lp9Xs5zZ3CV7p5ZO3/iJw2F8Wvf/g38ycfMVLLBaJO+DHT5x//wJ/mVX/0/zTFsCsy/XGXUn6BlVg5ZxOp1F4Yunn+e5pxZkz7+8Y+Ze6UD9qQDqpRPIR3Jk6fupN02sXK/bb43S1OCyFy/QPnUm+YeFGlMUJljPLgJiC4APFBTYryqcNOoZfyXORfb8UZPGqq+56bY1lYq1AX9MBbubFaKuFvo6ou1Kt3rJj/a7XmOut8LFHNCm8XSKYKAJaHEXtzrE9mhD1UFe+JLdgCF1oyTyTTXHfGlZqNsP46x5GBqNMTvW1/y3MCL3PNZaZhrP5TcJfB9lDLnvB/H7I4EgbNSmdCmp9DqNr0plzyH7tIaFzeKyHTYi0JPWGK5z4GDBu198cIlaoJEUipxkwqH4wmC24qLe37ZUdgVE8qPpZZY5DuAH1YcGscLoknOexNMF5o0ySi0oVgD5MUECV+p+gyH8Rf+Eb6sb+VymXbHIANaJ0vUZK0b7AgyrxRy10mz1i1US/TXjZ/tBh5DobT2Q0VLkKOWjl8OAubFny7vDigHVkDcI5BjG4gPeYVmZP0p8tmVaZuNasndVxebkjG5yI14fplS2dIYAxaq5r1DKxquPPqynnaTjC0RNJ87UHGi11quWZKN+eX/bvKmcsXH09bPtBv+odUcAL/0m7/AxjOfBeBPP/Qkb3rjmwD4ju/8Dket9zzP0ccnnEofUgsPK08YL8pHWSq/zeP9iCK3UisYtMv0Z90UUyjPR2djM0ER8KLqVK7kUVjkkJ12zoSlkxYaJblr61iDlgwh2t+Qc66GLjbNVcv01sx97A0C+pKf9JWmJdSzQo4hVD5z4ktX20M3PTgtKze9OREf11lBX5CGYVRlfVdQofWSk43peBNkVyB7woSAes0FGRebBoKkCzzfIZPa44TtofGl1moVBw/0LfKtcCivUugR2Bxzypey3K7lXTxhWOTdzFHBVlaW2ZHc3HjAC+97nk+GhOTac/vuI0eOcv2arH9yPHmuHBIPNEFgJ8sn+HZix80wDzz8F7C8rE8r5U3RbyWuqtAwegCjB2JeP3zvCvOrcwAkV8z98msRdx4z6/VivezWucE4ZCg5U9craFn2ltwE31NUxUf3hjEl2WtmJc8h2h07IC/oCXU6CH0294RtVi+hBC3VE9aFTjJSoTYPi4CSfEdeeCyL79p1Lgx9R2dvxwm7Us9YWgw5uGxirR1QNxqPeOAOg4j/5Gf/hFbd5Dvdfgcik/NGC2YNWlndZH0kjKP6KqvLRmD+3HOfR8vkWIoRU/hYd6MsU0L5PvnU/ZiX/Gp3a01ulYcSFJcK/AmiU2te94avAOBjf/QL/Hk2Q3TNbGYzm9nMZjazmc1sZjOb2cxmNrOZzeyvhP3lQ3RpHH/banQVU3xtEZ4wP9pupdauk+LVQo6dNBXJ7753lccfNeLXvlR/W1HoRlHnrTKDnqms3rJc48ntNgCrzQoNOxJcuo3NPKGamWr7a1ZafGbfoC2ysaYpKJ1sLEJxceYqjGv7faKKuQ29VLEsnGDLDQ/82Al8xlqzNTBV2OZyC1/EBAPh8PtRhTtvNQib6+mQ++59FQCvePXree68GU//1LOmI+QHIZ97zHSjdzvbHDt6whxDr0t/Z1+OwVynq89f56u+5h0A/P573s2HPmS+r95aoNc21X+lM4fGWT10HIDN9TVs9XY4jGnUTaclSRN6MgI6lw5EtdEgFJTGXffcz86u6fb1Ontcu3qJm2pKAZ5DbmmYFJ2ntbocDGeCEFLVnDvuNxXsbzt1kMcevyRvNb+vBT6p+NOgVWYo/nRyscozO8ZHVps1WiIcbgcLnDrQ4mVHDdInHSX8wSVznQNAivYkaqIvofp2hGxBWbjifXw37tuKhpcK7fxNxwl7gib0UG5YQir3pDEXMVYy7rp1kNe+8qsBOHL4GF/6MqPR1cnMfXrTG9/Kzq7R5bq2foY4teNhoa7M8Vw4b87BZ46XPvg6AA6uLvL8WaOvk3geRWY6YXi+I6JbYFfhBSAdgpCYTEQvCyoUibmWVlC520mdOLBShRERB8JSg5WVg+yuCTzpJpjpak+6SdoJmU9EYZWMuK+UQ/o9c+z+wiIHj5tn67ted5AnnzKITBub6oHv0JJJo8S4Z871+FKVZ3bM9T7QKDNXNefWEj+4pdrgPtHSumeuxgevmnsWoLD6KSURWo1TTSS6HWfWdlkVYd+UkLb4WMlqDuYZvnSN9gZjuiL2W/Z91/GcaCNAIT+vpzH7opOztz+gKdpGDRnEkeaaSsWi+SZai572aGHeszk016HoViGboFKs2LHSE5FgFYROx8Zq1XmeT2DXD0ogYreF9piIYlqY1xTKyx4UyBj2m6U1AfPz83zDN3wjH//EE3z0o2akd7Xa4Hu+53sBg5C65557ALhHhIkPHT7Cm77C+MUP/Ng/4NC95vn9Xx44wqMSm2SyNfXAd13hpB4Ri6bDofkyp+VeHphv0JKY1JAYdUurycuOmdiUD0a855JBLHkKIvGjkiA3xkkOgm7dzAsq4psDL2Qsz8VgbP4txznKarAUBR05Bl9DW7qPr/wyg2ybRnNtDbt8+zu+6Yuu31e85m3u53/7M//KHFfJJwrl2c+G3HPiPgAuBebzQ/9RYulIF9mQHUFFazwnBF4pKQb9tjk/iZ/3v+gBLpwziC2djalUqnJNcpSgu+oN8wyOx5lDSrRa82yuXwFgeWme3c6eQ0nfUNMi7KqYEhsOjDgvGKSXhUgIEkh5uROvVaWAQ0fMOX33lx3i3DmDlg3kGZnbHzoUX1IfkA/N3x2aL3F628SNA60K83L/6xJDTh5c4J6DBtF7ZyvkfZdN7hGhiAKL+rK+lDkB5WEOFUEVqkqVruRhfdF4qsQpQd3qeMBeVzrLpQIEmWGf8lhndGWNvjTq0xO/61+Kqc2Zz2g0rb5g4Trz05+hCqhJbNrrmDWs6EToYqIje+2a7U4rYtEPCksVN2BoUZAoO7sdcotc0ckEUa5AW2RLNsl57dqGCiYDmoqMmznERylFEAYkcUok6MSiyEhk3R8OYiLRPUwSq4lTMBiZazNOx9z2SoOM+I67D/LMU4YxEFl/2g3IZB2KqyGF+NNKq8QZuT+rzYk/1USL9PjBee47MAfAva0S771k/CmYik256NTEaWY00oBRDiWJPT0CRhLjrYTVSq1KTxBGaVrQFV0uv1BksrZkFoyuckayzlxNhg6d0bsY01x44Vq33x9RjiZMgsLmlQXUlHnv3/+RfwHAX3vD23nyjLl+H//kx3j6tEGlmxxP0EhZOtHYCwWtlfawa5lHRpGLkLoOp0TGLZqieCEaPRRR6iIxSLCb4lPaxBk1hbzPEvczSuFHNXmrZa/kEw3Nis+hY+Y4v+vLT/DMk+a6WDbDYjliLAi7UTUkkyFHBxarnJX7v9yo0BBEVlXy45NzTR44ZGLTixZrvFdycL/Q+LJBKMs6Nyg0A1kLRgWUBEE/8HwGspfoS4yJ0gwte53xKCcZmGOoBWM8WXsE0Enq5fTlmbo0HtITv+tfTKlLbKo3rc4YVEXDSftQ2JubQUm0ubblWSyGLfTYIuUzVpfNvrNabVKryXf02m7/Y+PKbaduZWfbXIciHbjcNh4NJvdLtB7rtTKx6E3mRUKcTJDCxWRCxY23QpuhT85VtUP/mTzuhT6si9ydh9cIufOVBnn7tw7WeORTBuHkyeEuVSIX40blgEy0+laXapwXJPByo0ZD2FYVuR8nDzZ55ckl81lxyh9ekbiUZ4SC+ipLDBvGmqFFGu5rKqJr2VchA2Fm9WW9KyUFuib7tqygL3qAAQW+MDqczK5W7u8u9Pp0hI0RX2rzHb/xjwH4L//5nwPw8Oc+xi92DNq9Uovo9Ixe4l233Mm//tGfAuB3P/QQAI9+5rdIB2YPkwQ9klT2+bkmEMRoNupiBwK4VbOIUJHVzo3dsLOiKGh3ROPc/n2WTYblaIUnyLR8OOQzD32c/5Hd1EKXUurNwM9izvAXtdb/x5/xnm8EfhzzlDyhtf6bf+GHegovKoEuKBIbsKd+X0z+wxMhOBV5DtqqopzXHDewuAtX22gJVC3ZmFWUoimJ4H6c4klSFMcZy3UDN/eDgIYky3PzIqCeF2ihml3Z2Wc4NA/DXrvPcGwpPea9kaed81UL5TaOo8Jjbds4zK23GsG/3c4uuQSkzjihKgLcyXDAVts4Q61pHKu+eIDFI0Z0m9Ee63vPAvCq41/Bpx4zSdZ+xwSp1QPH+Bc/8m8B+M//9ad55BEzqSstUnx5mK6u2Qke8I53GNHdV77yZXz/D/w4AN39rhNNzbOCqGI2xXNzJmi+8U1v49OfMhu0JI7ZE8H/SqXK8nFDCWnUjSOvrW06Yex6vU4g0MzADxgPDdR4upx540yBbET09NRBmywo5TbadgIhXgFW9NpPealAOM9d6oCF5ttNkaeoyXsH4wzfQp7TnOWG8afQD6h4xp+qvqV3xlxuG/8+VFYsSdHi2toesZ3qJKKZUTERL6z7HqVQgmGiGUmSZYWEiyInkURxrzPAl/dWfJkgBNRk8uN2b8yLX/uVAHzqiU/hl80d+NKXvYTzm2ZzduuqgYQPgz77HXPSr3jZVxDJFI6zZz7Fe977PgDWtsyx5LHvitN/8uE/Ajn3cX+fQJL+DEVz0Yixj4ZSCAp87rv/SwDY2NplY9NssIukO7k31tTUcqYil6Blacpjjz9GMRpyw00pCExssv5j6G/yjMRDEKpJSyjTnWGKLwVggFdLEf78pQ5KFj5hjFFRnpuSOYwzN900jlNWJTaFXkhZ/LlsC6HjhOsCb14tQUsoYWtrPTKbnQs1tuznLp4ulEMH18+zgoqdcSBvaA+HhEL96I3GRGUL+deO/mqlr3eHCRsilBl4HgsHzHO/tzmgLGKtmRVE9T3GsiCXyz5K6E5aabRkHFfWJfZH3qTQxWQqm5mko933Tegc8iwr7b4PNZzkaEXKJOm3HqQmYqWenhQKdIH+gqTpRtrO9g7/5b/8Ip/+zMP89E+ZWP093/e/Y/3pda97LXfdZ56H5559CoBPffYxOiKE/uCrHuRQYOL+s+farvBbkVhQ8RSBnFc/yRwFIstzVkVM1fd9ykIzqFp/G2VcEvrzoWrg6BbXru8xlmEBSJwr+5DItW0GPiUR/+2MUjI7pcgKrypNMjL3db89wJfNQMWH2qJpJnzVN33fF12n5549zcpLXvEXXssvfd2bzTlEmjd9mSnYL9erLDfM5/7HX/mkORQ/4rWvN9TQ5557jk2hP1OkaEsfry+yIsNkgtA8d48+8hkK2fzoIiNPhWq1vUmlNmd+3jX+n+cpuYiRm+lZMtCmNyTPPW6OTq/GdG+8qfpt4qiLukgnviyisEWWoWSN8SoBr7vdFDevrg3RUgyz61XZ8ynLdM5hlpnKAqaOeqgldMIgoCJFGUuTz+KUDZncuFwOWZTi1fW1PUflsLSbioZEHtSqr2hIkSPNMjLZyNr0b1wU+EKV3mwPKEnwKoUwEurKsZO3AvDs6edcbAqVR2vZ3NO9zcGE8ugm7nmMZcNarYYuNhV+4dagaxs2Hk1yC4BE6GPVSolYfk7jMaEIpm9s7bi/so0CrVNH1zdFRzuVTmKUp6bqAROqkUZRZDehYCqmtSaOE3zPIyqZDUqvn3HrrWZIwbnnz5AkJkaUZbBFvTHP7lCE65sBL1+Rte5CB8+3z7oVTvYnsgtJ7vZIBZoDMmwlKAWUwy/2p03nTwELkjetrbdJbN5kvwvcBMdKoKjZBmFS4Mv9bizMATDstxkJjb8Txy42eV7hfM7WgLpxzrYUPULlM7dk/Gl3a0CpYilkQu32fbdxrkQB2LXO09x3t2le/LU3vB2Ah57c4+yTj8rfRTz5tMnvFdoVx5XyePBBEwufF6mP3c01ApFS0bqgIvTeOC1cIdsWvHXhucK8JnPXqsgTk6flN2e9MzMViklDiim/9twcWCcn4ClFEdrBRZovPWXi+JUrPRezapILRL5HJK/tpZmjz+qiYNX6UhQQSpypy+/zNGdDGtOrZc2CNHyur7VdU98X/yvn2oETKp6mInvBuPDdpPVcKOFJnpNLQaLTH9FqmHtTDmEgBdJCYvD+KGdd4ljoecwtmePd2+pPxSa594HH2PpSMPGlQmlyObb161IQTTXIpFO/VGJ72ww5Urv72AtfqdXIJL8rxE+eP3seO+xKqZBypSLfEeBLYbUqMbzfaxNG5vd5Prmfnl+hLALsg5uQhrtlzKIVpoYb6UJPcjk9+b2V+fCqFV4k48wvXN7Ht1NOnaC7R7kw578TZy5Okxcs1ye+ZPd5jalJm9dkWNPxesiCFFWvXe9RSA7uydpY9s36BSb3qUhsG+fgOQkWcz+SIqMYmtc6naEbVFYJA4Z2wqJclr1hyob4XSkMmF+RODDQ/KN/8rcBeOndZl/+xIVr1Ctmj/J93/Wv+eEf+zYANrY3+A//2QxG2unNAdBq1vihf/gP5TxTNjZN0+K5Zx+bDE1hGlggT7PnoQUcFJRqTq5IKU0o9yORiq8fRhSWfq0mA6NUuToRqf8L7KYVupTZDfw88CbgGvCIUuoPtNanp95zCvhh4NVa632l1MrNOp6ZzWxmM5vZzGY2s5nNbGYzm9nMZjazmf3VtpuJ6HoQOKe1vgCglPpt4GuB01Pv+U7g57XW+wBa663/8cd6KD+aqhRiEDaWrogG6ZBaaqNCQWg6LCr0eOScQYg8sBAwLxXQW08ZFNL21R3WhVa0P0hYlYp1XviUheZR9gIi6SZ4UoU8NlfirgVT0d5p1Th33lAeVCliRUrM6zIadkxBSTolfgbZSOgBYcGcoGm6vbY5m1JAIciDZugz8uz49pj5pjm2TDruveGA9esGaXN6/SmWlg8B8F9/51+yuW2OZ3HB1BL/1jd+K7/wy/8BgKNHbuUTnzA0xqjk44v46R0n7gfg+nN/yk/91M8AcNttd/CB971HLrV2110pjzQVMT4R6n/29JNOPK+7v81BoWVu7e5TEfTXVYHz12sV11V49NFt6nXz+1tOnqDRNOigZz5/MwTENZCJmqyF6U7grXoKqu0A3VpB2fifVw55UkaX35ZmjtJ6+ykDU926vMOmYNH2ewkHp/1JYH3Vik9JOk62m3ZkvsIJC28vQqy4e3OhSbNkvu/8pqHKJLpwqAsvLUgF4ukHAaVIYPWCRtCF76i5c+USHaHQxFmBL+e/2zGf32zN8ewznwfg2PETHDhg7t9zV59id9fcq72t8wBc2WzjeeYZq5RbDIamOz0ax7ztzV8LwEN//NsALK0ss7Fh/v7o8eNcvXJFrq9PVUR6S7Umr/9yQ1N6/AmDVtna3OCJxx8z31FrEIkAbZxNOoEOSVUUTNSVR6ig6n6v+B93AP4fmfLwSzXTjSysSHHhEEDKj/A9oQoKtanp5wytZ5U9Hr1q7t399cT50q23GV/avbbLukD3e72Ug3Kt8AJKgn6o+r6j+lg0waH5Miebpmu4lSoUxncbC3Vq0i26um0QKCNVUJcOiU5yhjJ2uChFDruk5XyicuRoufO1CkPhxKVau/Hqu0JRzLLCUeaCsu9+f+TkHIV0JN0gAq0oRZPnzvcnyCpP7l2yKwLoQdlw5kC6dpMx6BbenGbxBIUl5nkhuXTBizwmEGqEcR+nYm8+KU9xSDAvmqC/3FncHALj3Pw8X/f138SZZ5/k1379N81rCyv8p//4HwEIQ48f/4l/BsA3veMbAPitd76b4TUDi//Y0x/ljkNmDbhHKedPt50wz/HulR3WhcbSH+UcqFoKkk9JOmm1Stl1w7X408H5EqdaJjZtFyUojO/UmzVa0qm9uGFi08grqFqR3qIgF0h+tVx2ov6TbmvqOnjzlQpt6bimGna3TWrQ2TwLQGv1dnedvvQlr+BTz5ihJ6+652VfdB0TYHPHxBtfaTbWzTryn97137jlpEFN/OefNde02+3zyOcMzT/PEjx53rTSBIJoW1laZn7BPJNPP21iU1QuMxr15RsLLJimWm+4NTIVgWHSHlHZrGmeF1BrGUTnsLdvqEU3kQ6L1hM6ogonVF8vBFk3HNVaKQJBo1DyePSqeZZfOg8tiTG3SGzqXNvlutzPfidjVSjNOi+I5HGqRgGRpWkJjXl1rsQtEpvWshC0yR3mF5o0yyb2XNs2ryVKUxZf9IuCwcCsiZVmgzCXfExQDIkekcjwn2oYEVsGtU0TgcefEuHdJHNi9lQCfOk4H7tljkJ8MLMK9BkEoaW1aUfd9LRySIfYusEUNVzhEwpNIy8UoeR/eZY7TWkrCJ3HMV5o6Ww+bhAGBVi6dWyR2mW39mXjASqwIvdqIgR8k8yg3XN6XZNPF1px7vlzk+O2yEC5duPRGEqCxA1CHr1mfn5RbcqfjhlkTv/6PtdlXegPMlYEvVfkmpJlQwQTFI4dJLQ6V+Jky1zba3GIJ/dyfqFOXXL9tR1zg8ZaU5Y8PtSaWKhHQalCSfK+3V1zbrWwcFSwShgiKiQkucaXdWYkAtTdcUIosaIoe/jyWcdvmXdi6rlcE51BKM+EEfafrIFPnX76Bdf71fcv8Or73wjAS1/1i25N84KAPLVotYjzF8w9uEUQi83GHJcvmTwt8KHaNEiN8c6OEYAHl/vmoz1UZGLTS1/2Ch593CDIPKEVFvbEb6hpgyidCnvWtwAoFJkdkDHhoKHkfhJoPnferHkvW6nQkhhx2+1mnetc2+GaxPH+IGfZIkEL3/lSsxwS2f2i7B+X6iEnZT+2niooTPybX2zSkEEXm3vGh1M0kcQFneeMxiJeXipREmpaRSRo0iJ1dN56FKEtNTufXIDh2FKxYyKLqg8nvz96YoFC4m2WWWkHCCxzQ2vHRvLx3MCIZCDxyisAEdLPJxInvuc7WuF4FE9JT4iv+VPDxlRGLMyIe+5+GY89ZtbCnlDiUBHIZxVF6oa5KC+g0DcpBwfQFrU8hX6y+zg1YVi4QSEUqLr5j3Ap4Ml98/O9+ZA5YYWdkv1c9/qu86VBnDMvKL9xkWNvT6scUZL7oCWmL9Yj7hHa8vU0QGNiUGupTl1QVhsi8j/QhYtrKs2JC4lL1QoSKijLWpIWKbGgmRuVkL6cc1LkLjvtC71yGCeE8vykoXI1jFrV48zzJtZcvmxyo9e95su47aSpFfz4v/h2NmXQTpZqPvERI/q+33kQgLn6Mu997wcA+PIvfy1r1y6bg8xTl1NMEOVTVoxAVeVzM0KpCSiV4tucUyj+nq+cP+sic3T9UhTwhVTUP8tuphj9YeDq1H9fk9em7XbgdqXUQ0qpzwjV8YtMKfW/KKU+p5T63KSgNbOZ/T+zF/rTTeSKz+yvvM1i08xupE3703A4+J99ODP7S2wviE1fmGTObGb/N22WN83sRtkLfekmFvZn9lfeZjn4zP5H9j9bjD4ATgGvB44AH1dK3ae1bk+/SWv9X4D/AqBUoPNRG/LccWxVVEFbgUVPgwh2atv9W6yTi3D1j3zdS3n+gukOr291OH7Y6E48f9G8Nj9fY74vgpj1EosNUzmMC02zZrplqYI54fPbDmE9jCiEr/2nz627Lngjyh26Y7kuWkSjlDyxXGyNNMGJKjV2RCixJW3QUeFTkdJzWmTE0smrRSXWOqbbJBIJLB69nftfYTrara3D/P67ftFcZD8iFSHNtz5oOkJ77S5PPGW64E+deQyvLJoaHc3TZ0UotTCd7fnVQwxF6+mdv/sulCCUFhfm6Qh6q14JiWVU6JEjZlTp82eec2LzWa5JRCenWitzXZBn+3tGT6ZcPkkio6LTeMxA0Bb77S4XRGvgRtkL/MmLNPhTApyTjjYw6SBhNTDAX/EgMBX1f/UNL+Hx5zYBWGv3ObRsumXnzhsEwdxcjcWx8YW5ZsSydK+TVLMgnO4YzXxN/Enyx0gFToDz48+sO2HBUGkKQbistuSz4pRCVFNT5VGW7kulWmEjMd2AsXT80lSjbPfPC/A9q13isSudgVCQH+1Y8/avNqiqzC/4ld/4afO9S8eotYzO3Ru/1PiTH2Y89nkjTnh5bZ2DB8x1OLJ8Nz//Cx+UK2g+d2HpCOfPXwQgCHLi9rq7xl3x6aNLhx3ab0FEenU+Ztg3SJFyucyeDHxAhQ5NljudtYkmAFqTj9vmnEtN0Z24MVoTL/SlUOfxED8qTSGIPKcrkSc9AhG83d42PuO3DrrO5I9+/QGeP2+E4jd3xhw5YK7xlSsGHbewWOfAwLx3wU9YaRofzFJYaIh2n4KWoCkCQUhFBCDCwA+d27DySYQKCumSLIsvrW1mpNJNJFJUBVnVaNa5JuiuvoinxinkIkBd90MKQeNUSj7bIvJaswif/Q6JXPI8yanYAR25dnoz9n6leU5VuqqZLshFw6ZRlHjinDkGLQLnOiq5oQW6yCZ8fY3THVNMNA2srlmaDPFFt8T3IqdBYeS4RNvCdS59dC4ICk8TiBZFnsXu3t4om/anw0dO6FarRn/Q49d+8zfM92v4hm98BoDFxRb//bd/DYA/+ejDAHz80+9nvW00Ev7dO17L558ynbhr620OiT9dvmhi0/xindWhPJNh6mJTmioW5805Jh40RYTejsQue4EbS//JZyb+VAk9slRi05zxt6vrPUYCbxqiqEhLsl4JaEu3byzXOU4KfKc14zuEaVEUtEWz7Z/9+A8C8FP/8T0vuG7bohmo73kZj18wcejXf+2XAXjb130r1ch87rf/zW/mF3/FdCSvXVvjV37DXLd+33RYVw/dxeKiuU7nzz6NQ/ZmOY0F03GsVEpcvGCQZUVm4k6WjvDEFyrVCqWqiVmD/pDOnnnWEV3CoFwjSWy8UtTlularddIso5/cmP7jC2KTH2mUmnTozdFPvXdqzZPut6qXyAVt/hPvOMW55yU2bXU5ftggb65dNrFpfrHOwbF51pMwZrllRWYVK6JBM0bTFGHdUL6jFkYQmdj1qefXLTiTkofT7LSfdXWjSyL5xBjPac3liaYtMaknp5HHGk+Q8EEQODRpGEJHUKi2a369NyCRtT2LCyol+dxiooXl6YnmWFU64WmRk0lsqlLhQs9qkUmMSkNsL1lrqAiycTSOidORu9wW3WMHXhjtzSmtQYdMNmgRmOhMkScuznlBiMYOFyjd1Njk+ZEOg4A0TdByfLVaheHQnlfh6hehxMuBjlGFQQv9279xF08+Y+LQ+ubEn65fNj42v1hndSRoiDBhSYS3i1xRlzgVK5iTvMmipqphBKF5Tj95+jqB3L9IayccviTr5rXNLpn8XQxOj7JSVrRF6yiWNXTYSagGFvWi3LMehNDNJghIgHaWksg1yZKCisAF87xwWkBKvjctCmqWpUFBIglgXZd54NVGF/exZwxC4stf8xpe/+VmwEY87vMlL74XgEc/n9AXNNGg3+HYUZN/94UV0pqbI5D1P09GjGVtXlw+wM6GwSJYbUudjpmX5/XggWWWFoWZsHlN1tkbU5T6wrzJIO1zJnlZ4YZTrawcYHvL7M/ckIaqwkKEfuxv3cflS+ZcN7Z7nDho9nTrV4wv1eeqLA3New9WNK2G6OYVHi1BMY+0puz0akW3uVLGrxjfffjChotNni4cEnBlzvjfcD12iL9EFfjiC9VqxL7o/1mtyjhT7v4HYYAnSNAogB3Jwa0W6/YonsSmLHPrZ17kk9gkfpsVBdVwkjelwqap5WXOrJl7HljUaBaBFtSMztz+J89TNxwjzxKU6FFNmBLIEB5zqyw74sL5C5SEHTCS/FF5AWnWlz9XDnnq+WWSsWj13QB74TpX0pLwvWBNm+gs41zMsXVaKV7DrPn/4k0neOK0yZ/WNkecPCoa0jLAqTFXZWkgaORKwZz4UpIpGpXJOleV+1SWmNGslFDiS59+fsMhhct4Dt27KutcfxCT2ZzW9wmkflANAnakthHLujJOtdszogI8p0ur6Ahq0KL5tsdjUlmv0jx3vlQUk2FLf/oBkw+VmOPSlQ8D8N/e91tkVjA/zXn0efN1y9WefP4CX/M1Rvf0P/yHnyHuywCfIjeoPsAMkbCakVavqwAtzdxcEwRSa4lTchlKZvOVIk9QXln+LnSago163TECRm3+XLuZha7rwNGp/z4ir03bNeBhbeT0LyqlzmIKX4/8uZ+qfLywBpFiwiHJUEog9kpRWHV+C//LYl5yrxHNvnJ1ja1toe4EATsi+F2zis9xhieiyocaJUe72NgZ0hZIpl/y6Y+Md73okHlAblupsyRTfpSCRJKXgc4JpEjUEuHD/e6IcmDem6WTZKRINSfmTSIwFsheVKuyJ5v/SuA5KmWzVqYp0w3tBEOdJNx5r5nC9X9+z790zhtnCQtCtciVOYdrV6+Q2ql2w9jBHIOmz933mmM42Hw9AB//5GOcfe6sOzf73lT72ESu0x2zdMAA9rKxOfZyFLJ6UF4rCneuL7rjFOfOmuKVJ5915dxTeKFx5HpribJMyNnbWru5EzocpFK7JdxTk+KE8TK7OZDXMp9XvtgkZk8+d5W1DXO+jcCn3TP3wk6NU1mGLz50uFFy08jWd4duip0uKdoyTeqlh8zn3nWkRasphdrAc0KWfTT+wPzcapiErj3tT0nuEsx0FHNy4YX+dKXn05VNVqnIaclx1ssBu1I8sBMTu909GnPGvz/92EdY2zYJV2u+xctufzUAS3PmGKrVOv/u35vJHV6WcusJM6Xznnvu4U1vMglt1pfNDwknTprQcOHs0yD3nXSEXYWuX7vsJm/aAlmlUqJUMeeT5blbfJUXuIkdSsv0tCAgkqRyEOdOKLNIRoY+cDM60srDjyriO1OLrBRJwiCciAy734544E5zThevbrK5bX0poCOiuiUpQjPOXaFsZS404rXA5v6QrhVjDmF/ZL7jpQeNL92yXHNFdqUUuWyWRmg8GZrRlKLrsDEmkkSm4qnJFK84YVmKVhUpRmyriG2B6GsKFkQctVr22RQxXlssivDpSVwuhx6FJBlaabLMwtsnqr6Z3J9aGDBKbRE35/aT5ln67HW7ufDRsowpH1dMwC9PNnp6Al3XdoyWFmFSzPQ2K6JeZGO3cZuIXBZuUhvaw5fuRo43JVh/463T6fCBD76f1QMrnL9g4mW/3+flr3g5AN/1Xd/Nb/7WOwHYEtp3kabce8o8s489e4H1LfM8zJUCepJwl0tyzElGKBuglVbkpsmt7w7Yt2CykiIQuspLDpvi9d2H56i1hCLle2RyzbtFTkWm3rUaDTmHMZEIuibDGC1ZWTIYclxix1jojBfykF5fiu2qoCbF0EopJCyb9fsVr3rDF12nn/+Nf813fIsRqf/YZ9/P6x80xflH7nkcgA9/6A/QgTmuRx5+jNPPGcpaZ3eXEyfMvbxyLpTruEZ739BgkiR2QzOWDh9nZ1Po2ntPuOmvFprv+QH33WcmOD579hyHVsxEuYtnnp6U1N00Q4+KXPfxKKUviryHjx5n89q5G16gMKZQno/W+VQxOJ+a0qenBjnIhsSD++8y9/Hy5Q12REy/FQXsd4SuKoUGksIN2zm4WHO+tL0/pi35TxF5hBKnXnRwDoBbV5s0JcH3fI80Ne8de5pQfGlOpAva7bErFsXjxLFR4uGQIyJ4n4p48kXt05d8rRlqWpLU1yoBW0MpTkrcKXk+uQzo8L2xuyZKmbwFTEHenIQm9o3PVH3fFWlTnXJqxRzv5ml7/3JszuB7ilQ2KaVy5H7WRWHWL/Nfk3+d00zuUUE25RuWfhO6vyvyzE1lpOjhSTH6ZuBlNKbop7zITa8djxKqQj8ZDAaOch4nVjZE8YqXmDXpuXNrbFl/Kvnsd8WfZJ3SSe7ypuVm6CaSbe2NXS6kSx5doae+6NAcACeW68wLrdoPfCfU3fMhEn+anzP+tN8ZUpPNaTxKHQW+GMccm5NpX+JPZ3OfzkBy8tCzDFLK+OzaEXniK2Xl0xdaWaXsoe0zhnZFTUddLBSxrMe1ICB2dO0Mxibn/sX//EsA/Ppvv4uf/ZmfBOCWW0/wyCOfBuCB++/n8lXTFLx4Ieb0U08AuCEX80urJD1TkEZpBklf7ss8oRV0l81iriL2dsx7z507x/a22fQrpdDezVvrTNUkEJkA49eZNEj29nYnG3/Jq7wi4t57TUHr8tVNtnfN3zUDn7bkTdWqFCazwommz1cKN+Vye39MbmNBAFo25XfKkISj8xUWbIG1KIgl78m8groMUmk1Jf/dHVATKYl4nLhhY/1enyPib5msc+cSxUCa+mXfoy55aq3ku0KXLYRUg4C+0EsrpWAqQkznTTbPUSTiSxUvYCjHG+uUu241x/nZTRkSpArnryYZsvfWczmb2T/aZt+E+62l+Kv8yOVecZKxsGCe7R2RGUjSBDzzvZ4euECUxfsvABbceFPy+ZOmjmO8ehrtWUqsuT7lUosX3Wl86fTZ62xsmuSn4fvs7Zmfa3V54JOMUsWsV/PlnLLUCrb2Ri4Hz3yNn5rvvmfV3Ptbl2r4ss4VmOF1AJ0iZV5E1ufmzbVq7PWcLw0GiZvq2msPODZvGmhWAuL5sU9fClqBl9OSxnSt7LObvFC4vuIF9Au7BvnTc/u4584HgMk+8f0f+y3++3tNo3B1rsF6W+jpgc+9t5pjf+YJsz8b9XP+7t82MkiXz5/md6T5qvPE0BOB6aEsk72Rh5JnTvmK0b6hTXrlBfJYimh2oKBfdk0cpQJHpd1r98mnJhD/eXYzqYuPAKeUUieVOZt3AH/wBe95NwbNhVJqCUNlvBlCTDOb2cxmNrOZzWxmM5vZzGY2s5nNbGYz+ytuNw3RpbXOlFL/G/AhDCTjv2qtn1FK/QTwOa31H8jvvkIpdRpT5vtBrfXun/+pOGpJkaeuUukpJt1S5TkxUQSCnuYDzgnqZpGYBanIzpVKlAXeGElHIykKEARBL4goS1d5rl4i6JkqauopGqEV9zZl0bP7IwJB2MwHJZ7bNl3hmq+c0GkqqIF7b1tlIN2hYSdFir8stirst023ZV4qusNyie6e+Y54HOMnVsDXZ0FolXe+3NAV3/sn7+HXfvMX5LhSV8ZenDvAxqaBEz706Y8BcPTQcQfn154mkGvlDTVPPmuq2J/f+UMAWsunqIqWd56OOHbSCAFnWcKudHFHg6HrMNx6yoyYHicF3/7tfwuAd7/nfSwtmYr/008/Q79rKIs7m4Za40c1V6VNB7v0U0tHKtDZzRVV1YVBb9jx4Ab7OunC2Qq0EhHL3It5bsNcI6+csyDd+WYU0RBoqI+FxGsCoZuOosiN2l5uVBCkNNvjjJpv6RDmGl7u5UQNEQtUPs/vmy5bLfAoyXdk4gv3njrIUPxp1I0ReVEWm3V2pSPREKptEba4Ip2ySGsqAg0dZ7AoHdQdgXMsrKxy7sJz5sMUfN/f++cAnDx+O3cdvhOAz503/vSxT3wMpINUrVU4/ZwRjfcI+MQnHzfXUrpGL3nxyyiVjUP1uvtsXTVCqfihu+5oRTISeLOgscY7HQdThYyg3JSfPRD4v07N3+R5gfYEbVAU5ImMTw6qMor7JnSUdAHF2ByPRRBpTZGKOrEfkEunzq+ZZ4GgzHlhNrXyHksCpZ8vlalbTLJckkGREUgMGXslaiKEuVSr4sl724mmKb6USWw724nRNXMNa17AxV2JTYGiKqOU7YjzW48vk0lnatiJieUy1QNIuubanpChG7Wi6kb+Kl0QSBtzMCxYFBTPRRmNTagcHVETu/uYpcUEQWE76rmmJCiHAqzGM/kw5/l1iQtWyDyfoOd0XjhEg6cDh8JS3gTqbJcGpSdit+Px2KHJ1NQo6hdoh0wNpXAjj/2A3FIeb4Ypg/45cewIR498PQC1WpV77jHIoXe9+/dYWzNx/Rd++WcB+LGf+RF2coO8CuuwXDb3arFcoubZTq35+GGREkksGPsBNUHkLTYqDsDWTTVNSyOV2HSxnxO1zBsafsB5QV7WQw8LFooFCXHX7QcZC5JssO+TyHO32KrT7ZuYVRdUaRY0uJrZAQG5A7gPY006Ms/vV775677oMtXqi/z2u38LgG97+991r6+vGwTqU899kq9+y18H4MKVC+ztGZTCztYuZ87JfZeLsrx8hKUlI2J89uxzFNLhPHLokBOmRhdo6YyW5Tkul0ssLJq/89R5Lp83CDy/VMcXRGe5bPIDP4oYDsyzNLcwz333mFjaG4zY32+RJmtfdI7/700GxziegzX7jGj3PHiynmkv4sKGWXuXyFkWMeWlSolmaAe3SG7i5SCUqDgoUZcca6lecSiMXqapW5qNIA+e3U25qzZZ5y5IjKkGioogHWIR8b/rjoOM3TrnkUu8aNWrdHrGxzyJiUUUckXWo8iHmkUdpZpFQcVeFLpq7mFUwTH5hp2JkaaFe1YsjbJQmrJlCvhMcqgRnL5iY4gVpZ6k14XWTmAanbghPQZ58ELq9gv6z1rLeiWvTw9dAop0hC/UTz8skYkSvl9bmEKC3QTTmjxNjLC0Q+LmFCLUXK2VXfhMHA1Hc/qyeYaqizlLormxXCnTlHvtyXnFFHiCthl5EVXJvZaaFTxB1PZSTcMOBpDveHon4b6qiX9l7XG9I/4UKhfTRoIwu/uOQ4wlBo16YxAE2vxUbNKC9Du2WGczEHRfmiGHS1ZomhL0NgW5mCnDZoAX5uFpWjiamUV2F0pTEZkT/Mmd12OPvZFBmXzyg+8C4A/e9ftcu2Zlj3OCiok3n/t8wrwgi17+sgc4+7zhFg3kHE6ePEWnZ3K6zu66O54iz/F9YVHI85pnZfodk2uub1x3z7cuEATQzUPi6CKZoE1V7iQJ8izBsxQmuUCFl3Bl05zfocBnoSzI5GqFmuTHodzP1NN4ifUln0AkZuaqpQlzJCmYl7hgB3Sc2RsTCDK56gdc7pi8qRp6+ELlGgma5p47Dzpf6nU1qTzTC82aQ5j5giQ7stDkSm72P74qCC3zJi2YF2rhRUHK5wrn+5oUGyuyonCgT+tTRTGVN3na0Se9xENYnKR2L6XLuLypyPBkjecFSK+JaYvy8kKUb/amhUWPAqPR0FE7E5FL8XyfohA057QEjOe9MLe60abyFwiTaHAMDp3nKBkgpyX+xAWcuSYSPNU+C0LvWq6UnS9Fcvy5AuTejFTo9s2NaomqIOX3xgWLdniGXONLg5w5mYjS9EPObpsbUg0VSr6jL/HunjsOM5JhBx1PM5bbsdCq0ZbnuCnr3NGVBpfWzX3Ik4JQ2C9xqpiXGsUlycGLwKCQzXFlLg6MRxmXL14yx1OaA+DrvuK7+bXf+XnzWrlEJHUQPR5xbsvmPObvO90eP/iDPwrAocNHCAIb73zA+sj08AG7rylREgSwH0YM+ubciix2CMJQUMlJkmCTy0KPZTgGaM8Myfgf2U3V6NJavx94/xe89mNTP2vgB+R//79ZUVAkQ4zehCVN44oUeTokKkmKLAtiZXGBb3+54a2fu7TNIdEPwfMpC09ZWW50ltC38M/EY33fPADHmnWGZXODljzFW+4xnzeW6RHluUUeE+2ThWaFe3OzCb+yuU8uQToWjZv5uRoSl2k262xcbwPQHoyp1c0vDq+YAHt2p09DChCq5BsNMiCLR5SkAFBvmIX9rW98BwvHjgDw0c98mHJoHtjd/S07iJL1LZNEdzq7eIWlOxVEmV1iFd11CZAyqU6hed0bDGXk4oWzrF27BMBwHDMv1LYve8ObOXvOvH7ksJn01e0N+NVfNdPCrl69wu133GH+bjBgJFoONonzA+UKXZVWAy0PejxoM+H23hwzi7meDO5DuWdHef5kZyg5ZmNhjnfcMQfA+attjs7b6XceJUsBlQWwSFPa8nMUKjZlw32s1WBbqBUrpZCvvt9QPFNZ6JpLy5y+YhbW5YUGQW6ux7WNNrktLlp/atYo2WLb4TprounU7o9piB5FTXSb9veGNMuWNpsQiP4OWUFRyOSjk8cAmFs6ygP3vBaAJ59/iFbd+GSllvP3fthMeSvL9MBPfPrDVKXA0kv6jK8aYOZS6yiXnjXnsXLgNnNtwpB3v9P4RXf3Oi9Mxc3PYWmBWKgGJObvK81lRlagO43JhYa2uNRiv21e90WfQxcpqZvmloFM6dB5igpKNy1dK/IcpXIKSSApEpCFFT9wE32ULBy1Rfj2l5ljvnA55qhQJjw/wDLSfSkmFXlGR36OEsXGvvn5WLPOnqyGK5WAtz1gYsAgl8WiNc+zl01idWChQVmm7Vzd2COTxSORYsR8o4aW5HZ+tczWurn23WFMVWhKtYbx9/3OmFU53k6/T2AnqmntJija6VNerNmWyY4LhyJyKWRHYeCSabtf8iicFk3mF/jpRM9i/7KFL9vrq17AQrXTWPC9yYZT527hVK6AXbgmhfZ8PN9SuBK3mbQbOC8IJxpfKPd3WZG4JOVmWDwec/7cWfa2r9Nomjj78EMf4Hv//j8B4Bv++t/gzW8zNL0nX/s4AI3FCt/6gJmWc/7KPscWLC3MpyzXoyTFpKzIaY8t7L3Mppz3kUadfXl9KfL4qvvNWjeQ52nhwCGeuWgStaVWAz8xsen6dptEYmUmhYfFZpVIEsrG8SqbV8wa2RuPaQjVvySJ5d72kJb8vNvtklvNIhRVmTL0c//hXwLwhq98O696tTn3c+fP8C/+gaH0jIn54R/9TgCevmCmQI1GPT750Q8BcGXneWTwKQvzh+ltmvWwUjPX98tf91I+8EGjKdisQtAyk8suXb5OKBuhpL8HsnaOpYlRrUQ8/LChEo1HfawOhfIy5ufNZ1udy2zYc3T4+VLAQ5/+LABhAOVK4wapB36xmYR/apoZvivYTa+xhdWXqft868vMsV9bb3Ni2eQ0vq+oWf3TkdWjypzGYxT4bIncwpFGnf2ReUZWSgFf9WIjtzCUxFdVmzx+3lBdVhablLT5vMvr+4wldsQdkyvM1WqUyiLd0Kyzc834Un8UO8pbrWni0XBvyOFFs14NhgO3Qa4FPrkUoOzU3mAEux3R/Fj0nMRCGE70sSzV2lc5hTQFcqWxwoNRGLrYpHObS+WOgpJlMB6buOt5U7SaYkLBt8U2s2OcKppZXSJd4ImOidWcQRcUQt3ww5JroOg8eQE15eaYj84nVJ44LoilmFcq+Y4uFscdAOorTf7Wl5hc9dpajxNL5v74vk9ViodhLP6kM/ZkrQvHHhuFzcMb7Mt3LJVC3vKAyVUGthFRbfK5540/HVhu0QyNf19aaxOLP42l8DBfqxJJIt5o1mivmzWyP4ppSB5udX5L7SF1oe73i2yip1Zot4myemBBptndNvnI0uEymUxjjKKAiT+Zv/GUdvqqha/xZK1T5PzGf/pv5k1j21SfLjQpspFZm3eut8nGJue+du0Kd95pCufdkrnunV6b2249AcCZZMBgZJvlOdhmoHzsMC7cz+NxQkli3mg0QPkBOr0J0UlrKAozcVzZInHKwpJZxzqdfUd513ZPV6/yLQ+aQt/aRpdjCyYPDcPAaWzVZJ1L84w9idO+H7HXM3nIifkmu0Pz+uFaxJtfZK5hX55fXWnyuKxzy3M1aqIDe/H6PmORjRhJ3jlXrxFJDn7oSJ2NqyYH748TR80OrTTARp+mPDO+ylHBJDexoAhbLAhS2BH5gaWDJVLxpdD3Hb3RFr88b1Kkyr0CP5PYFARcOyNN42JCIbNrkPJD101U2puqtmpHMXQgAFVyTUPlh7gChk6c5qn7AK1lKh4k6ZTvag3KvvfGmsKAXbTOJvFUTUIsfuSoxH7FHGd1weeb7zb+c/HSiKNzJm5FUURZagwNyf8yMvakwOensNORHHy+wY740sFayJvvM740kCnAzaUVHrtsntfFhTp3aRP7Lq3tM7JNmKG5RwutGiVpeB9u1Vi7ZHxpMEpoSu5dllx8bWNAS1Ao/aKPbwtShSaSYw+lGRCkim2Z7Lh4sEwuDdtqpcIwMev1z/7cjwPw+gcf4I0PvgWADz72Huq2QFYpMdwy3ze2dMbc5/bbTcx533veiZK1Sadj8Ez+oDyF8q0mnFANtXYN0VDnbh8AuZvsbmVWQt+j2jD5x/7WmssNVVTBk5z/L2o530zq4sxmNrOZzWxmM5vZzGY2s5nNbGYzm9nMZvb/N/ufPXXx/74phQpL6DyZ0rMrKKam0eRSybUIg/5+n+vbpruxsFih3TWV+UY1AIEY28ptWmjX+S5GCU2ZrhdkmkImjAWtEj2phg6lqJ4Oc3Z7plNUiRTr0jWoViK0iI57UlltRAEDqeJ6gUdVuu79dsxYRO6vXzfV341EMc7sxLyY5YZAjatVsp6h/T3znAhn5nDsDiNG/+J7X8ljT5rpU0UxmeJhAYTVMKInqCkNlAVJdG49wReaohKU12te/aUsLpmu/pXL5+gL+iNPU0ZCV7h06SLHj5nu2nNnDZpnb2+PZ04/bb5DKz79SUNzm19YNJBu4JY7jAje7u42g64550E3xZMO8+LyEnb42f6WcLxusGltRLctOkN5GY66aHiNAIR1c40GnZTrgk6ZnyvT6ZprUK9M/MlSGigmU1x0klEXdIOXTTrDVDw60qnpi+itKudsSbcoCmDN+lMtBBFs9gU226pGDHIRYPUVzWURgt4dMh4YX09E7P7yfsxQYNyFTmmIP+V5TimUiRwC/T929DjShOLvfPPf5Vd+04gTvrX2NQzthEYRdoxQDqabp5qTB40Y807ic+x2093wpVP+iU98km63LRcoYxKGcledj0e9CWdN6BCjzhYOmuj7NGoC0x0N8YSwWajJZyWJFSmcFtss0NkYbpIYvRdWQOd4Fm3qV9CC7vC8ACUxKRS6zrCn2diWTs5ClW5PfKmagSBTLZ1DFbjYRJJRFypRmGtyi34LPboy0XUgpxgNMzZF7LcSeWwOrC9FaPFdC3+vRwGjyB4v1GT63rgXEwsiZXfLxNIL3dwIjgJoUBKDfeXTFOj2eKeQ7w1o1mTqWDeh2pTpP0XhYlMh/hF4kEvntkgLqtL9W+umUBbo/cAGKYXypjqb0glSaiKkj57QZq1gts5TSoJG1Phk8kxoXThfmaDtfXd9DG3NdjQjinwC37/RtrCwyDf9jW/l9373v7Mrk0lXTr6EUc90mZ97/jxVEeE+f/UcALmfsWY7wPM1Om3xp3pIqWypGYJUU4qS9acsoybohlBrR18liuiIP/UEhRf2E9aFElTyc7ZHJk5VqiFK/DeQONgoVxjY7/MVjWXT4evt9egK6suXiXmX2hl9oaZlRUEgCDJfaRZE/P5FD74OgKNHTtKWyU3/4h/8JD/+sz8EwC233su+fMap44ZCf/nCWQIREP/ev/eDfPzDBt31uef65Nrc9zvvNBPM4kzxtW83NMff/s1fIy/MMUZeQSDoh3DhMIN9s/Y2m6bLuNfugpsUFHHgkBm2sbW5zl67bf5OYsLSykGGMhFtZ3MNraww/RiYooLdYFMeguiyL2QTunCR4wulxxf0b5ym7O6ZWLE8X6XdFnH3mk9eeSHVjCKnYqnCWUpNnq2oyEnHVozepz22Q3qQ36dsdYy/VsOCjYGI/zYiCkEs12QRalZKDKwovKdorhhq1+5Wh548v4mgfa4PNankTTmKmj1lpWhJN3y4ad5b9n1CJXSUgaZkqbRF7mQwLFUNPWES5HlBRdardlFCyWRPndk1yGMgXX6P6XgyQWyZF4UW5E/S8QlF30M5Cn6OtlNJ7ahTfyLMa9ZLS4mMpmiON948z6NSKxMnMUMZPuTLsAOAJM3JlMQCQdsN+yl7e4L0nKvQltjUrPsTmQF7e7MJdVllKQ1BLQRFRirIuDxUdCQnb0uuGuUTf2qUFFtCJ6vWIrKO9ScTm2rlEkPrTz5EMghq0B7QSyU2iU/vxobiBFD4PoFFnnuKSD7vggwiCpRHXV4b9hIq1cmUzgCLDLTILdzwkyIrqMhat574BCKUnw5tHvOFNJ3JYIKyvFeFJdbXzcyvukyS293e5vrVi+aaZakbfuBHFbdv6g/tPQwpzxkklecpCjvkSw8dqvmGmwLla4NY03bITMH+3pb8rLA6H75cy2E/ZXtHJDZaZedLc01NuTJBbQOESjl0i5/ltORalfLC5cejQNEVnYZ9kQQp64IduaehV7ApOXhUC1AD856aDEmoRwFDeSZzoCFo0r29AbsjO4zInMNGN3VC++UQQrmNvgd1ocoOtyWv9nwaZXvOMWU5/6wo3F7OpibkOCmFLC2oyBO0NQ7MiG1Aj+WvinwycMsPHEJZu2nhgl630wqFrmgE3K3vaqrCCBkMYnqyf7OQ5EJrEskZily5SeRaaxQ3K2/SQGIQlyJngmby2GiFJ+tJaPcPiWJbEJirSzU6Uh9oNTUlK/lifUl7bmJwkOU0BJlXKSCRWD8KFR0JFvvyb1gv3H4u8HKuikRRUArw5fm2MaNZLtHPrMwHzMkE+53tHjv7IoMgdMTr7YyR7O18fEdpHI0LItlrjHYlVwt95uxEdkJS33xGnMZ4st58+GNm0qKnc3bbBu0eFiUn4VA076O+aI7dS8x17HQGDMdCOY+HZJbSqif0SF1ovNCi3GVIypT8VJoVqMByWHD+eMsJU1O4cPkynf0tuWYl56daMZEl+Qtshuia2cxmNrOZzWxmM5vZzGY2s5nNbGYzm9lfCfvLh+jSBcWoZzRYLLoDhWf5n0w61ql0pReWm8TClV1RIX5DRCejEoNUBHEDK0SumRM0gu8pdqTaOl/2J1VdNF3p2p0RQcRPnf0Mb7rToFhOX9rgpHSHht0Rua3IS/Wyn2isjMOwPaYnsLA41VTsSGbhVy8oRVe6xqV6i0w6yb1xwrbw1l96r9F3urbb4z3v/T0AnnriMfLM8qo9QhEazqXjGQ+HRmMCU2EfShX28oUxOi/by2qOYfEAJ08YVM5nP62crpZSmn7X8HS9oELom9dHogHQbLYIZTzoeDymLIiCxeUV+oIquXrdIBVKpTJV0YDqdfc5fMR0lcJSg1B0KaSge8NNqQKUwgtsd7tA2RG6ynMV41z8amEudBzhZhChzGGzUAoZiHBuST5rnOUsSwfZDxUdQd60ohTbZggLzV5iPm9LJKje+flHeP0po7fx7JUtjs0ZHadxN8az/iTaDt1R7oR5k+6YzshqE2hKlv8vHY1jZXhWGoTjrKAr6LxyKWQnM12ba+eeAeC2e1/L2rpB0V1+/3ke+oxBQly88iyFIG4eftygBiMvINFWByHg+pbx06c+usu9J18JwE7HaKrs721PCV5OdFAMMtO2XjIm+ENbj09BW00Aj0j8f7/bpnCiyqLlMCUerrzAoLgwHU9d5DjF4RtpuiBPh0arwGobKKbOA7TojuS56Wo0GxDLsSx7kYtNi6WIvsSmmpx+nOWsiC/pADoS3xbLgfFhTGzaldhxTmLTZ86e5cvuMM/Ts5e3OCoooGSQOrHdVDp3g0xTyDVMhwkDGaOdZZqadIgsGO5QBJfEB8dZRlW0yApf8cRmGzC6dABPX9l3gxZayyXy1MYm5XQFCkEOKe1NEF1FwRBBI17LYSwx3+lITDSz1AvGn2uKYoI2m8BYJv6TiG6H8kLX3fR8/4s7RDr9AoH6iY6IUpN150Zbp9Pm/e97D0mS4AvKLghh8ZjRunvyqdPkgqjLQtN5XlhYoJDOct0PCFrmei2USwxEJLZhBZ/TnNWq6fDpQNORzuB85Du9hFBrtgREt94zr/3u5z/LG25bAuDZq9scl9gU9xJ86Sj2Ba3aGcUUsqb1e2N6ov2VJDll0e/w5Fm9JdI83p/oHylpVTeaTQ6/2GgFftXbvhqAX/5vv8t9D7wEgKsbl6nW5gB421e+hVO33w3AD/3DbwHgxffc54SA//BDH2Z/z8SmM0/EeDLeenPDCNenyZD2vkEsRpUqI+lSx2mOElTYkUOHuS76OBbpd/DIMTJBlWyvnWc4MNf6nnsf4JlnnjSfLc/z/v4erZZBW/THMb4gibUfyKj4mySupLXpqltBeu05zU+F73zJE/zTXLNKIXlVI4gIW5I3hT5jQV7UrcZfmnHADmvxFW3pbs+FHlq+I9AFm9L5PS+I6IfPPs2XnTJaO89d3+WYxKZ0kIJ00wXkzl5/jCc+M+iOSOS5932PuYp06eXancpjTssI9rQonKZSpkKelDWtLIjoi7tjupLnzVUiCsmbCjVhBaTxZER7nAv6wdMMJcZcuBSgxxalJfmRDsw1xuRKNhfK0mxKMxC+UJTNCJjbNUM7ZEqejPBEeN7qOnmB78SVUb5DpetCO4Hp/CbM8tFaU+QpB1YPMBqKnmoSk0lumGcpNoxaUfDWYjTxpzAkmjfnuBD5DOXv6jaPyQoO1UweWvjQEdTnfOC7tTUoCtZl1snZdeNPnz17mq+406x1Z9Z2OSL+lI9StCDLxuI3+4MxgaA7xt2xW+vGSU6ralF05p+DecIFQRkkeY5n/UnDVUFLy+3lzHqHXNabVqU0lYcrh+jOrD/5AQkWsQVjYaN8//f+G/7VD/1TADa6xl+zdDonApjsf9qil9NqzTGMLaqvK9/rs7S6CsDOzg61mkGIeL5PPJKBDLKfKZWrk5x92KUhLIYiK5PnGVl2MxQEFWZNnbAnlOc7sfOoGpKFVoPZnNvCgRZafKnul4haMkilWmIouZ5Fz6VxxmHRXEtUQduucyUf7VukTsHVnrn253fMA/P5c2d5za0mBz9zfbLOZcOMUJKykdBNNrtjVCgIoeGYgeQWRVZQttql4nfHSwWbcuxxlsrAK0iBM4LuL4uw+VNX98jk7+ZWShboQg74IuiVSt5U9n1iq3/kQSK+tNvOaEZmk9LGPKtFkeN0AHUoeluCaLfapRRTeo42iGhc2UBBSzQRB/3OFJp+Cv1uUWOe70T+lTfNsLjBpgTVryc6hkpN0H3KB09QTVoYEfMNDxVYXwoJ5szxL1VLDER/NJSYkyQph0X3OFPaaZzOlyf7GJXnXO2Z19c65rXfffhhXnOrQSA/vbbFrUtmTz/uxZSa5loMBIG81hm6nCkZxAyFmZJnmrIcp/XtEyXN+UT8p9Dusg7znPO7ZjNZiiQHv7bvWDJFEHPqFoN4f/0b38hDn/4EANtrho31yU/9MXuxyXHCasiKaHF/7tmYMDe+cvKkqXc88/Rpl+Ncu75FKHqqtXJIV8TzM41Dj9rhcn5Uc35HkU2YEl6ACsy9OXfeMBXApyk6tc1mgx0ZqDUep87H/iL7y1foslYwmboYTfCfX/P6VaoiBL0si9zWdpuSLKC9OGPFilT7KYlA6bsyUSXXGiWf2yBgUeg2vThjuWF+jrXm8pa50MIi46UnF8ntNLtAuWl3zXLopodEQucYDYZUhDK2slB1cN3NUcxIFnzZf1JGuYdU52MOnjRJ/M7mVTa2TeXnPe/+dQBe/oav4dr2swCk6WBqYpB2VKpQ4JFBnhMFVqwZxn0TsA4sNAl848AHDhyT48757d/+XXMtt3YmqHu/REmCxbPPPEG3bYphtbp5iNc3tglk0YyKhPHQbCAun3uEQ0fMZu32O4yInacUly+aaTGLy0e4Lsmop/a4/0VmquTNMWXEwqeDctknmDO//coXHyAU8dpFEU/udHqU5eIO4owFm1cEHnaoSc+ztAlth39CBk2BOg+SnKYUH0das7FnkpKxwI0fODxHIXTGQMO+BK25SsTYFhrFSdqDLrWG8fXV5QZsWX8aM5DCSlVocK1SyAnxhc2hdlDnwbgglo3OyeMnALh27Qw6Mn9/eGWJr33z2wF45rlnWdu8AhhfBwiTHKukOV+r0u8bH4riHX7635hpjX/6iccB+NF/8o8JQgvBnlAvyqXITWwp8uzPoBd6Lmv3g4idnT257iGeBMYim6Kg2UmMFC7Am0dtMmzgRpuhBajJQq4mBZg3varBnNzzAwsmaG9u7LlJKIM4ZdEeV6TIpBjUF18qFEj+Q5R7zIkv9eKclmz0xho2d0yyNJIF8EtOLJBK4aEcKPb3zeI9V4mwjEclG8jeYEBL4ubCYo1S23zGdpoycEMVzHvLXsERWfR3Bppckj5fZVSEatAZyYa4FlHI3iEKkMmm5tZHkiD6JSmuZAWFnSSUK7oDO/ElQ2mbkNmlq5jQr+IBdiPgV+oOKu8mOTENcy4IQ6HtpokrZBV5gYPmT08KssWB6amMRYbOx9wsy/OcbqdNp9fngQdeBMDf/4Hv5V//1L8G4O2vXKG/K3G7aUS+N9Y7zkeGcc68pWFGOekX+pM3SeCiQtGUQDVIM+aFIjGiYHffbIbscIcXHZkzU3AwBf22QPIXKhF9qUoEUvDqDQbURUD1wHILXyQENkYxAynUNkV4da4ScagpwvSjMbH4Wykecf89huL+yY+ahGxhfomX3mOuyfs++FvccotZRz7x0GeYWzQbuRff/xoATn/uQ9x+v3lvOQhp75tnb9y7jNay+RUY/jPPPO+m4SbjAfPzZi3b3duF3MToS+efdUMP+rIBT/MRp06ZNW13e42SrLOnT5921Nxcrl886LKb2iJrQC5pmOd7ZHk2ERq/4VaYz3bTXBVamhOvf90BN03woDz/uhdTkk3LYJywYDcqrYoT2B7aiai+IhQabKihWbLNGM2KpTGj2BPKxmBkin4vPjpPau+zj4tN8+WQkRx1JLEtTkY0ZIro8sE5uuJ3O1lKTzaWDaHftsoRx2VTsNbpM5bCUMiA++6537x3waxRF3//v1Ofk7zImwiF+54ilPWtJPcoSDO3oS0KTRqYgu/SXMPJY9j4cestt3D+glknC51M6I8eE1qh0pN1zi4Zyp/Q9pmIg6M8Crv+hWX3mqMr6gk90vOVa/7cDPM8RakUsrDQ5OrYPBcxY0oL5vl9y0sPUJLzOjxvCgR7m3035TlOCiq5FdGvkgttfWSbjb4itYNMCu38qZ8VrnEYK49u1/hALEXklxyfJxZfiLxJ3rRQLTGU61iS2BTHI8riT/MrTToS59aTmI7QI+tWrL4csCo5xlqekcqmLfAVr3zQFNyffNZMWq21h26tCz3lqMh+qChJcPE8608Jnjx3eaHpj833ff93/QDJhgiIOweIpvivU4UCTzEetgFoNhpOFH8o53Ds2HHOnD5t3lsU9EU2otGskUsxqTlv/Pjw4UNcu3pVrmnCaEeKRlEJXXg3K20yZzTdqPI9NyjpNa9cpi6b5wMSm0a7Q0eVjrPCTaj28FGy5vX0pGni28ZjoajKvqcf56xIMT1G0RY62FAK5HccaBALjTHwoC1DMRYrJfpCR/QsRXU0pCL0vuWlOnWhzF5PErpSWKuL3zVLIVlkjqcTFySSz4fKI5Jz6kqzuloOnS8FSlHY5rivZFgGrugaZBleZEW8Nbkn12rYZ7xn1jGFFYEfuiadFwRYH4vCkLm5OQD29nbJcpGImKZaFzbnCVjfuOZ+bxuOOFqumszZKPREHF5PDfi60aaRkDn1+UrjCV31bW9YpSLr8AHZg+9u7BPKmjtKMxYlbHraQ0kMtb6UURDYAlo+kTzqjjIXl3LPoyu+lEhOfOfhupv2GviwL5PtjS/ZjoDEuN6AUt340upKnV7XrIlrScxQJj425HwaJZ/DUu/Y7A5Zk7pD4Hsoib+pgAdq5RAtDNS5ZpnL10xR6/fe88vURejd5nWVSpmW7BnzAtY3jB9cePwCC00z7Gr7qol3ee7x0T9+r/neMHBr2363S7luYv+hpUXW1jbkFtmJtPlUONNGKwUwBUMpsMu98sIKPXmmAk+TyLWs1er02nbd/fNtRl2c2cxmNrOZzWxmM5vZzGY2s5nNbGYzm9lfCftLiOiSkm3gu84aFDQO2250wne+1gjLHl0w3ZrPPLvOex8xELjjrSqpnHWSp/gWDSDd//lqyLxQ7HYHI3xBEIx1RiSX69hiCz8ypdGNNUO9O1oP+eyaEQmOKx63CyUiiROksUhqu1ZkDKSb1TywZPXLmWvUSGW8clVGtfaSDEE+M+h22em0ATiytMSRlnnv4zKy/Zd+7RdYXT0mV0Q7dlg2LGS8K1SF9pagHH3L14ogN9XSvS1Fmhkax5vf8nUAvO+9f8hLXmw66pvrlzlw+IjcCs3Ojhl96ntw9Yr5u1tvvQWApeUVOvvmO/Z2xxw9brruOztbrK0ZobtTTdNJwi8xlg5/pVqh1TDnX2/M8dQTj3DzTAMZeBM6AZmmdVAoAl7K33rwLgAOzZtj+vzZTT7wqBH3PFovkQuSaVzkWI3YTLpKzUqJeRGg3x+MScWH2nnKitCRji22HFTz+qbxocO1gEevCDyz7HG3VO3TceIEyccCWR6SMUhNN7JeivAEqtpq1UhEZLQhnad+XJBYOloCiajmr8xVWRKB9Ktd8/dHjpzirtvMs3TmwqPsd8y9vv3kXZw5/5w5USnJZ56PJ12UUVdDao690834oX9iECh/+9sMlejA4eNcfv5Juf7KURHG49EUxSwAEZhH1d3dssL0eZ65jlaajsmd8OREuFUV0pVt1OkJRdNhv29Kb1KjVWwQgp5FSxY0jko3raz5hpcY1MctBwyU/KFnQj7yhOmKHa6WKQRVM85yJ15tkSCNcsCcdFn2B2M8OedulrIsr59YbIJ0+9evGVHaA9WAxzfM/cgbEbcK/TMZJ5Sk+zuQzlM/zZFJ7lQrEZl0SlvNOr2O8TEr5jrKNLvSNR5n2iEN5/2IWxbNOT9+3fjzOMkY9Y3fLa5GZPJ9XqrMfQfX7Q7DCazC0x518Y+sp1By7Mr1aLwJiiGyktOgde4QWUWRo9xwiQmsorABMohQjkqrppCEauolq0TMC+gVFi12MzTpPc+nVG1y19FjnLrzVgB+7/ffzT2vMHSK7vZ5vu2V9wFwUCiKDz+3xgc/Zzp1xxoVZPlilI2JrFiu+FOzFNCUxac9GBtkNIZ2uCRd72Mrc2SCXrp03SCIjzciHl9vA5A1Iu4UFF0ySinJNbfC9YkqGArqolqNCASF2mpWiaVDV5EFcoB2o7/jVHPy9jvkGBbYOv84AE+tGed81Zu+zl2nt371N/DBD74PgNsrVQbXhEoVG3+9+74HeeObv9Gcw4UzLDbN9z728Su87W1mhPYrXvk6AD70R3/M6aefMtck6bnOLEVBYMVUfZ+g3JBz7sh3xZx5zlC+izzl4FFzv+rzPTY3DTq5wCBf8mzsRnt7UYSWtVcpD0+pm8KqNmZo+FMzGohWG/Jzxv/2OhPrjwgq55Ezm/zJEyaGHK+FaEEkpF5AKHEhl25xsxxRl470Xj92Ir4744QVkR44ujpPJvd6S6hWh2shT4ovpfWQWwtBaQxTh0yJraAxilFbBi3MVakIrapJlZFQJEqyJgxRDAbmvf04J5Fnes4PaWXGh77t238MgPd+/ONcuGKQV6UDJUef12lBT9bYiqBnNQptp+PkCl/W3bWLQ0dTjCQ33NvbcTSwPMtJMztW3WNCoS6Ygj1MbpVFP6BQspb4YehYA7mIAysvwJPvM58isclXDrh3MyzPczrdfc6cGVGtmvX5yIEjpEsmHw5KOd/5MsM+OCCo34efW+ePHzdr3Yl6BBZZpTwkZXGDh5rlErVg4k9hWda6UeIG1hw70CKW9WBzf+JPT4k/FY2QE3JPRsPY5fpxbP0JtsWfyqUILb9vNqqMZFCTFRAfasVI7l+mFUM50Krns3fFxNt2R2JBljMWlEZpdeJP+Sh3gz0qdiiNBm0HEGnFiWVDb7r+7B57Ei/cOjSNeCqmbm4ONp8Z9fc5etLk2Xsiyj8e9CfoPq+gJM9pmub4QqHb2zXHXuSFe24qlRqDoaB54yFhufKFLNsbZsrz0XmBlvxN5wWL94pfexnf9qDJmw7MGV968uIuH3vCIM9uaVXJBKU8SFK3r0llrZ+rlKnauNMZEklsWhsmrAhj59ShRUayB9wWhMhSyePp620AkmrIXZZuOEoI5UqMZV+V5JN1rlYJyQRl2WjW6MvrFgk/KCYi76MsIRa0acNTnFg0z9JTa4atkGQ5I0HFR8sllzeRFCSCqrXUSPAcpVlphSfonKTvg9DuKabohU4ofEI3TNOC7e1duSkKJRIS2kmGaDxBrukiZkpDYgqRpyf/WvSTNxkOpMlRN6n0oIXqbc5HvjtQHPoSkxuGYcK3v8Ts5+YkF3nkTMRHHjfx/2SrSiKnOkhSJ9JufWm+VqESTvmS1Ao2RglLgkA8dXCBkdDJL69LfaAZ8dRGG4C8FrIi9yyJYwLJbwfCukgLTb9jfKZVKzlySKNeo8hkIIL481AXjOU+j/OC2KK3ArjtgEGuPyH1gVGSMxRKZRBAKPlMOiwoz5mcfkt8aq+bUJ+zUiWKct38HOQBfRngkCd2MErVJcDJeEizNWeOZzTmwAFTK+h2Oxw+YmoTVy6avTMqxxNErS6UY+sUOkMFdiiFeauvDFUUYK8zoIhNbOyN+oTVOTkP/lybIbpmNrOZzWxmM5vZzGY2s5nNbGYzm9nMZvZXwv4SIrrE0hSke6f9goGMvn7jHffQE52fJy+b6udnnlujZCugacZJK+5eqYgmC0TSVe0lCVc7puq53Kg4DvczuynLNVPJXqyUOdc2Ve/7D5iKZJ5pDojAXGl/SBiaiuTOKCeTqrgnHcrFRgWkE7C13Xas6WroEWfSkZTu0YHFKp504je7CR1BfF1dX2dLKqtWPF/50E1Nx8wLlBMiLwpFiNU7MN8VhLnrEA37AZv70inUMdWa0dq6dOm6HGOXD37oAwDUKnXX8Wm0FrEulBUFpbI5kytXTYdrNC5EQNOMo86k21Cp1imLRtGFc8+7v282l+W9iq6In7U71zlxwujPXDpzlpthygNU4DTfwoWIQdt8/xtfd5jMM9f56Sum0/PpZ9fc2PF+nHFLy2jCROWK07wqSXm5n2Vclur8arPKvPjsmf2EAw3jO4vViGsjU6G+a9n4WJ5plgUVU9kf4ofmeHbTwvmT7aAs1CsgmhF7ux03rrgc+ATi9z1By/m+x0FB9ZVVg6EgC/txxpWejNRW5rlZWp3n3R/8VQDWN6/RFB73pSsXUKKJURGef1iFYSJiy90cPzDXpFZt85VveiMAD3/mswAcP3qItYsG/ZDkAZ4IEhZFPFHN1yOc2Kq2QpjKaeP45PiB7UwmkImii/xe6cLx9Hv9nkMIKU/h+z5ZfrM0AhTTgrHRSh3q5jhfd8siA0GUfeasQTQ+fHoTXzr2oyLjYMNctyAque5plBj/6cQpV4Wvv9p4oS+t1owvtUoRZ3ZNB+fOJdHa0ZqV5Uls8mXwRjsuSKXzaHUeDsxXUfLM7m11nLhzQkFJ9COcfkk14pB0rry8ylh8qZflXNw0z0pTkGZROaC5LCKg5JTK9j4p19G2SIlAQW47prHPVs98n1eK0XHlhZc7S9w9BwgEGZlPa+4p/4tGo/tBhC9izb4fOEFlKJy2l/uOKTFro5eYyc/eTetwg/HVSjni4sUr3HXP7QC0Vip88umnAfj/3H+EtsSNyxvm+D/15LoTd++NU06umvseVSaj5Guy1nWTlOvS4VtpVmnK/X2+nXCgaXxnvlLmUs/cywcEhUhRGC1AoLzfx5OA0861Q87YtW6+Vgbxp/3tjtPCKIUhofjASFAqvqdYES2eaGGOL7nLIIze/Hf+Kb19sxZ91fxhd32+8wcNQvT4sWMcO2quT72xwDNPG7TokWWzbly89ASPff4jAHzsE4+x3zHf++KXvIzLlw0qoNUy2pZPPv4osfh3GFWdb6XDbcB028vlOrE8k7kMH2nVKtRq5ve+UuzsmE5uHKeM++b6KUE2kaVEZRu7xniC3i7y1Oh53jwtevAUKpx4bSEajl99/+10JOe4/FwbgMee3caTuNkbZ5ycMzEmqlagap7DmqCjuknuxJxX6hHzgs7cH2YcmjMIxLkAnt02semeJdvJLVgRXwq3e0Ry/zu5dh1c3+ZNzQqBPMednQ6exI0wCAgENd1P7DoHByp2XanSFx+rrxyiqJoYO+6aY9ne3WDFIrjJKVn0VoFb5yVk4pE5xF1YX+bKurn/KsohE1+R3C7LMhJBFZp1Rz4riMglVqZpMdFztHp6SjkRaOWFE5HeoOQEra0OivKVE/fF853reJ6Pumlab+YYDcKxIBUk796wTbpjrt1rXr3ClqDJr2y1AXjo6Q2HMjP+ZK55WJ7yp1T8Kc241rV5eIlFQUA8tzfmQMv4Tj2AzY7Jw+9dNq95heb/y95/R0meXPed6CfiZ9JnZfn23TPTPd4AA5AEQBCWBiAJkKJIUZRWOqvdlVaGsk/ad3ZlV3r7pLdLSavVaiVRhjIURVISnQiCAEgQhsBgMN6b9t1V1eUrK/3PxvsjbkRmg05PO/32kFtxzpzJzkrzy/jduHHj3u/3e0ey1+ntHlr2yL6B0onYS1w816hQCBriYG/qm2rVmJowCg5EX4kAFgS5nxcxVYccLEv2RAvzbQ9aJNX1rzzDyqLYNzlVsWljIBR7cjtMGJYeSVapHuNf/4T1Uz/+Lz/BH/1DfxT/RvthM0i/WUG2CKVln20scvWGjS2Wl60G3fWNTdBOo9QQik9rzbXo9QW+nTkU7Ig8t4/TFI8yVEF0R3c7YwrQM/igiqYnZ7oPv/cUPdHC3Lpur/fpV7f99RyOJtx9yp4nwmrNx3qNzMVNKVcPrC0utWoclwYsr+wkrEoMXjWa6wfWli4IolUrRYr1FZWDEVrQZiOlSAVRF4gt1SsRRpCnB7t9tPzdBAFtx6YQ3xRFmuXA+ZgKYznzDYuSm9t2P2+LP4viiNaiRbEZcuqCwjHGeN/k9MfCoMRILJkmMUOxq2pdMxo4RLuLg8xUNJ4SJ6R+m7ZVCV/bKUNpRen8kQKnD2gfz4oQStzl3mjKqSA804Zmb/WwumCBRcw5240Cuvt2nX/9w8fZ6EvMtGWv4ak3bhGKbx6kKXctyT2v1Sll7TVFlP4wSdnqW1tabtVZdfmBnZTjx+z+X9MBN8UvPXTc2leoFPlxOSfuDwkkhuwbRfY1MVOjGoOgpXa2uwTydxMFzAsCsSc6hFEQeN9omjUfS42KkisSgy9LLLc+mtBakrhbF0jYgSkUWvaj82ftOmo0St/U4tp6jf7IrqWsGLLSsejK1QUbX505d46f/7mftb8hrBEJM0Ch2duz8zDXmfN+rCnn5VFSzMTlxucjlNFTfV3kd4YleeYaLYSo2LF8FEXikK+/8fhtmuiygsFuUeoosdA3YG2Qc2LeTt49Zywt7s1bXd68Yie8GWpGArPrDTJCh0IXkbdqNRJxPqjEEWMRjb2w0OJqz76mHU+4VyCm18Tou70RI9dVIDT0peuQAXJRBx6JcRYGL8oZZyUTOeBV5huIz0PLjQ7jmFFijXe506K/a79jpaF4ddP+pmPSDeT0XI2LAo+cOx57dHMUad+lYT60TnNU9D1Sfr6uePINgcKbFsOBNerLl2xi6Q/8F9/Pz/7sTwGwt71JQw7jw16XTsc+3tvbYyhd9ZZWjtv57d2iIQFMkhq6+5ty90LyzHVrspvZ8ePHqdVE+LPdYWfHUq1Ac/36De7ssB2EnN9XscLI5nH1sGQusvftgXts55pLm4dcumGhxXONiJ78hiydEDmNWTk0xHGI8aLY2jui8/NNrnpxyyrn5RBxXUR69/pD+o7eFUFfkpolikzobSOxsaKEWO5vNCo8rL221PIwXEf1CoMALaLUi42AZGgfH2vEvPiqnecFEYf+uX/7wzz4zg/J95bU69KtbzKkWbPB5HzHBlOX1l/xHYpW5yKeesra5v5Byl/8S38VgFxoPsaU3unVWnNMhuKoTIZLIqCmyYspzaPAbaZ5qcjHjtoYgiTLPDy6LKdU1LL0m54hkI5Id+AQoACtKMsRQWjvZ9BRGIGN3+ildKr2nj18r7WlG7sDrq11AahXNQdyyM5HYxoSnJaS3A6j0FMildY+sXR+sck1oVjN1WIeWLIHx0sCmd8/HDJ0IWRg6A3ENykoReh5JInQW90xc7ETyi19ZzNaNVIHTRdfG4YhiWw+i82Itb79nfM1zStb9nqWRFTzVLPORTnwdFZiH7tr8GK9nYp0RjIjArnPnbrm2Rfl3k0qU3qP62YWxJ4GEATaJ5ptUCUJtLKc0kNkTotiGnjl+dh3K5ttVOAPm2raiVEFIaiKvDKbCRzf+hEGAZ3OHHNzdXZ2rT/86pO/QGXe/ob1ZJW5kbWX+8+LPe0NuCK+qdFQDFxzhl7mD+uuEBToALxQvyIR33TvYosrIgo+V61yr0gA3Bzbz9o7HDGQSQrjgG5v6ptM3XXskm6QRvlGMNV8gsmdb4opfMMBoRIZ44VTW5Hhsbe9089FSxJco0NLA9zsZ/yT/+VHAfjRn/83LCxY3/SVL/00lViS7LKPR1rx8guWjmjG+1yxD+l1r/l7eeWaTXg9/PBjvPKqFVntH2ygnD+KmtRbHfvYGJTc94UlO+/okFu37P4XRQGbQs0PwhCCWeFwUNp4GpsKQn/wLnVMked3Js8lig8qMJ69reLY702XuxnHm/Y3PfaQ3b93BxOu3egC0GwGDGVt9Q66SBM0eoUrZIVexF3r0B8ELyy0uCyHzGqgeXDV3ptLIkp/MBgzlDVdr2i6fefTNUYOEamLpZT2vqnsTSikcNZY7pAHjvsmcgxhhJGYbqlRYdwTavb2Ok/ceBaAfSkIvO+xt/NLT1t5hLnlGLfHxJH2iZmmJPQnRe6fCyZ9bt2UQ8ZYYbwovFDq09THksaUvmtzkUymgs1qNgR3wYOyCXykuYq8xur1iv8Sv2v9kvi2IPIJMBNV7pzgM3afjUIrkxBI3DbRPSoSO9wca+Zjaxv3nLcFzBv7Q65dF980Y0/54a+1J6UCCp/4CxiL3zg/3+TKgb2vlTDgwoKNfa/0JHk/GNOXz21UNYdSJEEplFDuDwf2uXFuaLi1N0gY5q7Tr2JFaLEtF0NoTS4i3MuB5qbEbs0Anr1lKd2HQl08Xq9zY8/GNHPLsc9jxkHg95aG3NPMjDFis+Von29733cD8OyTzzNtWDCTkHB2E9QwxfSwe+yMTbKdPHmaK1etTMvOtvWVodZMJK5QgWYgheoky6ZUOFyCJPHNsyjLaVc0IMuzO9cow2Dt3p3p5jSl0JhvjTWrDfu9997bAWBtr8fNNZv0arYjT/saDw58LNyTNZQzpesbFD3Zx+7qNLkk+1yrEnHvsrWlN/alYUZ/Qk/mpxMptvftPQ8Cjaq5fc7aRKNa4tI6wST3e1prsUXu4iblpBkiMvncxXrMrYHseYHmNfFZCwKqON6scn3f/s72QkQpvjIKAtcwl2Zg7Totx/7WtWJ49hkb/5nJbCxthw6r+MSUUZjfsAusi5vF3xjt6Yz2hdPusNOY2tEdzW0+yImjm5I75pssdbFABQqfcKsqv4T2gxod6cC0etruRad3+6ytSWG2GTEWP7C/2/VNxway1jIDhXxuqaAnsfndC3UuisB8LQ65R85zNyUuHw4nHMqeuFjRbO9bu1NaE4hfmohd1nKDdkXfSU4mSa/F4/NeSiSUfUAFgQUIAJ16SDGWQmJF85rE4KuRvZbjtSq7E/FxccFYwCTzS3WWBaQTy5rpJXs+Vjt/suA//oJ9/B3f8X28610WuPBjP/YjAPz8z/2MP3e1m7EHD6EUQykUKHXIcGDXVT6xsWxQXYDA7X/Kd/o2xkzjam3nJssy3zhkkmQoSRRXKlXGQ7f38xuOI+ri0TgaR+NoHI2jcTSOxtE4GkfjaByNo3E0jsbR+B0xfpsiulw22EEh2ywu2WzgheU2r4uAYKMjML0QMmnnqmoBQ0k49vpDzjVsBco18k2SwgsN9iYJW5Kxv3cpZkdayn7+2hYPn7VosefWrUB3mpccExHoQVJ4Gk4tDGEkMFeZ7kLB2NHkUMQCiR4OJl7cbiLtM29uH3BsxaJmJuM+DWm//NzWAccE+l0ThM/NvQFpPoWgRgLBT5LCVxMSycyXpUY7cbexIhYx46yrcfnPKxdt6ft973u/bx3b7iwzGdtsdLs9RyFIh0olZH7VCs+NJYvbbnc8zREVkqSuIlKlL9Uvh7DY2Nj0cEWTvYmOW/IZTXpCJb1TQHxTKpQOUVLdK4aGBclw371Q5Y1Ne62teXt/g1CRiYj7RMNEqlz93oi7xZ4G8lwxyVECLe1OEg4FOXP30hy7YlufvbLFOy9YuugLrqFBUbIoYuMjU5KLyde1JhNIqZbKcT6DUAoMU1j94dgLbzrBwl6eeoisJsTpWL5wY4dFqSJVpWp+qGpcv2lRXmu7l/m2b/0AAJ3WI6zftFSfr3zxcwCEQeQrPZOgzdyCQIGHA+YEqtor7f3PSk1NkH6j0QQzC2MOBJJaDPn17rgpHBxBeQF/U2RQOBuZ8Q0O5q8Dy+vFip7eJuT6Vg6jwGiUClGiAp5swvI99pruWmjwxkYXgKaIP6Igc2LrkSKRSsawP2JeqkIDKd3lybS1/eEk4ZogRC+sVNkRJMTnr2zzwJkVAF7emgqadpSjbhsHeqCiNGbi6IKhv56xrOl2GHrfNBgmxFLFdK21Nw4G1AWmbLT27b5f29v3bcAdJHx9Y+irmFoH1ERceDBMfE1wkk/vratW7mSFF6a0KD9XYXfossJD8MvCzFBfjfd5Fh49RUuAraQ5dFhZ5tMtRampgKqvpBtfQbJ2NZZnmYrU34FRGkOSTjg42GGva/eZk0uPksTXAbir3eDNW9Y3NcSetIZCLjtTigOhU0wGI87PWd906KryaUEgKtD9LGVdfNO5asyB0K++eHWLR++2CJ+Xtm0lbpLnLInfTgAjfjMsDcnQIZnt5xZliegvEweB9y3jw4FHfzjofpKWlA6EaeDf/Zt/BsCfevw7/JzU5yyC6u656TwFQcnFi68CsLG1zQP3WgRJVfzR1atX6cxbkefG8jn+mz/+nQD8nb/5v3m/EAhyoT/IGUnlMQiqlLlUaWstRkO7xops6BGnFan+5kWGFuHxLE+9wDwEHDtmr3l3v2vnJgg8MsLkCalU/4Oo5um2b/lQChUEGJNOURMaOkv299+/2uTVNXt/q+2KewuZxFhFUONAhGrH/THn56RZjti/ynPbkQYrqrs2sbZ013KHPalqf/nGIRekadArgjxPi5KOXE9qlJej0MaQSYXbqGk9dizIjSAMqM3aklTFc5nL3iT11H4VBDSEPvbS1qGn5e5uWhTftbEiyaYNKGKhXSZpQSTf7eUnlPb3blJpEM7Z55MReHSD+KC5+UW2t7f95zKL/vQA0qm/mT6pPRUNU/qnFdN1pQTFYUxOo2npJpPJGJTdM8oimfFfd2gYOL5ynGtr1+w1VQzt4zZuu2cu5pKIwjekiU+gp3tPoSP2BFmRDMacF5HxniA6yYqpPeU56xPrV+5a6dATdPtTN7vce8rSYl8TexqmBUvyvqRQGHmsjSGV9Ws8KhoSJzWhlfdNWZIylPcFoayPC8f5xJdtzFOrxqzO2fjluY1tlgW1HMnnvrbVvd2e5DOSNCfWt9sTaJSTBwiqVJrWNrO0wO91DhKmtEd0N1vzDAbS3ELHfh+6ev0qkYhlezpv79DTpk1Z+LgoDAKPQiwkBjPGA/MFvTxDq50RMH9rh8BNUf6nloOEpXtsHHP3Qp2LYktx011d4e9dqUP2xN+MBmPuE+qh2+fyxFA6eYg0Z01Q0PesduiLT3vi2j5nT3QAeFNsaVLkLMm85QqimpxPcpjIPlcKIro0eHRcRSmqcg/GvTE1ORNkgpbZ62c0xF8RaKpia2/sdVkRKmUkz21095nINc7pim+2kWY5oROQl3itLPG+ZBRW0KG7xrpnPBnZz9B4+mAQVVGznSt82D3rP1xMNGVVgMIYh8A0vtGPcWh7pTz635qNQyEpb/Nv9W6n7FUJQlCuPDOsLFqbOFuvcO1mF4BQJEV0CLkEnEWg2RcE1Wgw5l4583VlfZUZuI5joyRnTWLhe1ZjBrLmn765z11Cpb24Y+OzcZ6zLLZUhIpIfE2RGyaCMC3ERovSkJeOTaCoCuui3x1QdzGTxB2jUYoKHBpPUxVf8+ZulxNyfnDnwWdv9D0ydvFYxful8Tjl8nWLQF9pyxmwMkes7TxdXh8xTOz8LLRbvP66jbWyzLFvFIUwBw4PJ1MXoWPfiGM4GnhZgqh6GoBkMvTMtbJIPVrZmCn6z+2ltWqV/tDFVKW3qzTNCCSn8ZtxK36bJrqsFRuheUWrVRYk0L90s8vv/7DV6/j0E1b/6fTxOXali8p+L2Eswf9KHDEQ2tn2xE5ovQItWd8rrTrn5uzG3Ww3WBQU9Pm7l3l5zcKCl0O7MTUaikeEg/vkqxuep1pmORI3+W4vOo8oZGH1y4KG2MvSfINSdIl25LfNq8h3NmxFFboOik3EsHCOQ7Qzgh1W75LkR1YyFIpSGCgKCfp6AnkvTUJNDOtwqMn6jjNeEsu1u64eL7zwDO2WnYdr16/RbNrHx4+vMpDg4fiJU9Tl8Pra67YjX5KZKTXGGLRQOE6cPMnGxqZcp00xKkK00ETKKKQUfkUYVAmEbnnHjpRKodAY4dBXW1Ua8p3XN4Z87zdZTvIv/qqlcp480WZH7KnbmzASfagT9ZhuZudjcyTBbi1iTja9uFnjRMcm0OrtGsupvSfnTi7wqnRbXJbkTaOuefiE2NNrt2iIU8qTaadQ5YKpUJGKPRk97Qq1uNDELfEbe/bw1okCJ+dFLdDcOBR4dxnQl414LM7lvgfv5ak3vgTAYw9/A1lqr+1Hf/wfkQul1yXbsmzMnCSv0iLkxiV7iNCq6hM2vQOxVzQD0f0JoiatRXuQ7h9se6i8MdVpMsN5zqJgGvVH0ySDnnFjsunbJIZszlGVmZOF3ajyOxSwlTmlKgiM9QuVOeUpVFc3hnzP+6xv+uwT1pZOHZ/jQLRM9g8T+rI+V6sR22Jjm5Iob1djFiVxWes0acqG22hVWZauf+dOLPDymqXkLMt6q1XhwWPW7r7y6gb10FFrMrQkKbKJ21gjcplOU0JHfMFyp0EhtrQhVKTlWuy7ZFWDgEQyGkEQcV2oG05fJyDg2ClrB1mWcyjJa8U0oeT6YZZFQVU7XYsSNXSHuhntrNtyoI6WqHzAVqKmGjU6mB4WHL+KktJRG5lqlNnXu4+dsZmZ4M4/nkmy3YmxMD/P7/n+30s27vMzP/8LANwYXWS1av3ClfUxH3vXXQB84auXATi52qI3mQYdfSmYLFdCdkSHbFt8U7saMy+20Jhr+XvdalRZzO36vOvUMm8INWdJ1mazVuEh2eu++tomdbHDJE8IvUaIaD5milLsqVfafQng2HKHUgLi63tCbVOGu4/bJFV/lNF3SW8KZnXvwNrKf/yVfwXAD3z0D/rnv++//TAvv/wCAC+/+DQAURyiDmzSd33Y51c+8Y8ACMOAhtCxA9mnvvmbP8jmpg36+r0dbwKNRpX9Hbvnq6BCJHqUSuy7SMYUopdGmUIonakM7Gzb/dvRBE2ReZ0T/yIgzwxah3eooGPsIVdFaPGnOlTUJTl3c2PIx95j97knpEP1meNzDCSZfnAw4VCSDcdrIfvy+JbQlVu1mAUp0lXaDU7O23vbaFZZEN90enWOVzesb1oUm6nXYh4+2QHgq6/coh44+0kJXAdOScBOIkUkGiX9ovA0nmPHFvyyviFUpBrGr/kY6B0K/VtH3JAOfShrd7v9hJNnrW/Ks4KRHJorWk8Pjq6bWQkVSUIdjiDdcvcxxEUorltkq1nB57mM4rZw2yfk8e+bUoZKf3ihNDMSTYUvCimhdKCrTBLnxzTTrsOzn/fWD2Psf9/84Y/ymU9Z37QxvkVV5ubq2oDf9V7befRXn7S+6dTxNn2xm253Qs/ZUz1mT5Kat6Qzb7Ma0xEdu0qrzulF62+ajQpzbq87u+Dj8CXRWzxVi3lI4qavvHSLphwo00nqtelGvuu09l1gB2VB2+kKzrfIJD4YiATBXj/ij3+f7dD6f/zYL7IuVMlQV9joWXsysnKjIODkWafXVjBylKQo9PvWRFqpm6LwVLudpOD1z33evkCHzEuseHBwOJ10odAOxxOcPS0srPCOd3wdAG9efINr162eYSo6qlrZBLf9vpxWU2y9yDz9t96w3zWejGeoacZr6Ch/er1T5WYbbyihMoU1TUNEhNZvjfjYu6wtfeWZawCcWV2kLzHLwShlID7ieCNmTw7E17t2rTQqER2hokbNGqc69vxSb9aYz+06O3dikRdv2DPJvOhgtRpV7hVdypde36Eq/jstM9+teiKH/TzDxw0JCiWB0cpSi1B+0819m2Q61qhO5R8M9AeuSBuyPejLYzuiQHPqrN0H0zRnKN08Yx1QiN8YuQRTkfnE/H6ZYAoXS+feFyrXnVxp373UJqxcssR4O4bcS57cnt+c0hUd9dqYcsZG3CiY+rbIF6l1WPHAiTszJEYTH9s8FlOT33pjo8vH321j8C+JXzq51KYvicvuYcIgm7El6Qx9vWfnvR5HLM7Zz4paNe5a7gDQqFeYL+wZ666TS7y6Zh3/vMRMp+sVHhS/9Pwb28Run8tSX1gZyr5TRsrfgQSFEQ3A1ZUWoXzemtBo60pRyhzHyrAzkrhah9zqCnxH7PLuM2fYT+11JUnuu8jWKgETOXvvKqFarh3SaYgu9KhGQ+iPn/jkZzhz9iwAF9+wEg+mSPy5qzBmSn0m8+tZ6Yiz5+wavnL1CgBhFFO4QpmeamRbCRixU/n7iROnuXjZvs9QemqwVlBI/oOZre9rxxF18WgcjaNxNI7G0TgaR+NoHI2jcTSOxtE4GkfjaPyOGL9NEV1YWHNVRG4rBX/8UUub+8E/93vZ3LZZyVd+0nZ5e+L1W3z4nTYL+cTeFh96zFbBg6LkJRHurSjpGNSooyWfOumnKKl472fG03CevrKBgJeYk+z2qfkGT9+wlduxUr5zWSXQxJL9d7DlUQ5DyaYuVmMaQj0kNyx1hK5W2Cz+re6AplTao3bAA6WtQO+kI9Z2uwC8dt1macsqNCQzX+TT7k0qtJUlgFiqFZWggtEiFN9rUK1K1bQM+bp3fYP9PEFQbKyvc3hgaQ3n776bM5KZ3draYq5ts6lrN6/Q69kMchC5bkfZtIOZKn3Gdn19cwa5P4XoO2R/uzNPr2fvS6/XQwW3d1p7a4fClBpUjpIqfb0S8oNvs9DTP/2nvodNQRy8+hNPAvDMpS0+8Li1py/vbfLNj91tPykveWndXndLu6YB1SmyZJSTSPeDblFSCgrrjY09pDELi1KRWerUeOqatafEQCQZ7EoUeBRBRWxzmBsvJr4QK5oNyaJnJfMd+9hVHtb2e7SkUho3Qt4hnUL21sbcFIFEIx0T7wmVF0Jcml9mb9dW48MwZizw77p4kEpcYZza+7S3H5ILTTGKmty8YSuMiSAE43obI5XJYrLnK3MEU7F1HddmhL4dsitCOaFLQkwuwsUEeBF7L55qpnTGbIwShAVlYT/3joiqKpQO0GEFxwnVGv7o/XaO/+wPfi/rUpz9Bz9hfdMzb2zzoXeeA+DLO7f46NdZVAVpzgs3rS3VpEq/0mp4qmnRS8mFxryfFb4K99LVLaS4TUfmcnm+xrNrFjGYB5pQ7kMl1GhH7agKtD83DOSeN+uaRlOaYqBYaIkAa26rv9uHQ9qC4qjWIx5C7n8y8tDqy7dslas2XyWW7WamNwBaGY/U1HJPIhUSCjXkcC2j2bF/7x8au1aZVs+V0paGiP3MQirlOtTTzj5KTSuZXiiVKbVpRrj+NhjETBXbC2UCTmxa2rVyp8bGxgZ//a/9ZRYW5gnm7XfOtSv8sQsdAH7wT30P27u2EvlPfuo5AJ59c4f3vcP6pq9ub/Itj1tfXSY5L69bG2jIXnesVffflQ8TckFhlWnmfczrazveNy3IfC11qjx1035Wpg2hoLSqUehRmA7ZNcxLJrK+F6oR9YYgHcYpSyIkfdeS/f9Wb8h+39rL8lKLU1Ki+/xP/R+8/3v+5G1zs324wwP32a6MP//5n+NzX/wZAMbjPSaHdt04e9Kl4fH3vh+Ah7MLvNCwiOPnn36Jw67d11akqcbf+6G/xdy89f3N1hy9zPq8g/19dCRdTIuEQtC4fUFeHzt1hm2nRV6WHsmsFJTimwrZ86MwJs0cLWmmEq4UZZFyJ1ATCi2V9JG/R1FT8ycftxIMf+5PfAcHE3uj/8VPWbH2Z1/f4X0SN21uT/iWx2WfywpeXne+yf7oY+3qVGx4NCEVxFY3L32r59fWD7xcwpL8fXG+zjMiUJ4r0OI34jDwqAm3zyUGDgWlvhCHU1sapSxLM4K7xZau7/apS6W82gh5XNm/926lFHKdV25ZJE61HRO75jhpOUVTxIZS/ElF7megIRRq1LWvJMwQvXC+IJf3zM0tEkWb8rmz99XcfotvV+IQeqKjAYV2PwHKbIx2nTv9ewoK6QimdYARpJcOgjtKqwZDnmd87ld+mfZCB4Duzi3+wuOWbvZHfvC72ZNOZ//k31t7euqNHb7pHWcA2NpO+IDETTrPeWXdrsO6+OfVZtV3kzPjhETi6W6ee/3iV27uiu+GRdnHFjpTeyq0Qsv74lBPKT6y3oI44FCQHJ0o9PumSXNOSAOOyyIwvbl9yBOyjv/YH/5eDqSjxY8/c5HeVRsLPX/ZxuHVuQoVQYRlM/aUBaUXnnchfxhoEmWR11ff6DG3aBFEg74mV/Zx3LI2nadjjMQCZTIgqNl57/UH/OInf87OX6PJ6qpd05OJNMo6OCBJHeq5JJOmI+1Wk4k0ZBiPhdKG+Rr6tJ75/yyy+S0eyopRG22vLarV+AuPW5/8x37wu9jet8//M9nnBq9t8oGvPwfAl17e4IOP28fZJOP1W9aWak07VyfaDceCJc5Lctcdupyil56/fItYaPynJaZpdSJeuGk/qwggcnFTpKkJEt5RxQ7TglTON3NRRF2asuRJzpJ0TTwncij7gxFzctao1iMe0dY39bcybgja8OqOPUvV5ipUJIzJspn7EpSUYkuRyKhoHVEVFODNZw8oU0e1DL1EjO89g/ENdspsgo5dwxRQnvMXzFBXZ/ycj4uKr0H8yblDUPXGaC8NYOMtORcWxRTR+hYPY38ZKogIFoQyrQp+8GwHgP/6T3w3vZ695n/87y3ie/DGJu95u80fPL2/zTc9avc8lRe8vmF9SV3E6E/Otb1fCpKCiTuDZIWflhcub9KQ0OqkMDA6cxWek1xDqRVBIjTXMPSdO2OZq35aeltqRQH1mrOllKVF+3n3SFOXmzs9apIfqNYj7pW4a28yIZEz/+UNe+hoLyUsLorwvcoIBOEaxoogmCJM7f9zDgvrA69emZBJw7C7l05x+bJFwrmYuMxHHrllAcpTRKgbeWK4dGXNvt7F/iZnZdFSz3cO+tPGLWXmu1065PuVa9dYWrRx2c7unkcjmiIlEObKb9bH8wjRdTSOxtE4GkfjaByNo3E0jsbROBpH42gcjaNxNH5HjN++iK6iIKjaytojd7XYlGo01Xl++rM/D8A3vt1WjJ584Rob6zZD/vs/+ABfeU047IOEXDjPB6LP1AoDSql4rNSb7Pal0lGvsyRCbY24ylBE+GLJ6K7t9UUUHGJtKKUaGYaakVSVnMCyVoqKVDT7WUHdtVxPUsLcZme7Xfu9oTGkomWgyiqlVOPfdnyRQ1cJGErL9b0enUX7XGKmVfViRj/QCSbWNB5pdv3qOhhX3TcsLlrx3CefsPpMSZrS3bdzNuzvsrtnq5TDUc7b3/44AOPhodc1KIwTttQzLUOnGX2tFfecvwDA+k2rhzIeT3jk0QcB2Fi7yiRtyfUoflPy7VswlDZASNS2WeL7T9fYy5340AI//SufBOBDX2+v+VefvsKtDZvh/v73X+Dpi3Y+JodjEhEnPBRzbCjlkSXzi3UORNtBt+osiohpVmoC0YqoSuVgrzv2orcVrZBiElWtmUim3lVsldIeLTgocuqi3VbLUmIjeiKHQ3m/IhfETkzFa41dWGhyrWuvrS+aUbsbhxxftZo5m1vraKnM51lBKZz/NHNc6ZIK9n2d2gKBdtX2AzJBU4WiuZCN9vz7MRqccLPSXizT6GBa9fHt1RWlr1InTAXGNYpp5ci+pTrleZtyKmKPgTulq6Q1QdxAKUNYt7/1vtMlW8K9p77Kz/201TP5tm+8D4DPPnmRDRGo//0fvs9Xhbu7AyaCmuvK21uBRkBcLC832O87RFudRSkh1cKK1/+rStvhvYOxr6LESmHCqUCoE8J2xRetFRWZn8M0Z85VMdWYRtvO51g0MOqh8iiVMtXk4jcfOTbPRdGjaNfs3/f3Jiwt2DWdmJkCodYePeSeipShIroz/e0xSU8mwFRQ2lZvXIXS8/rlRwSCWC3LdEZAXk0/3YnR32YDX4PMmm21jejReE0Jc0e1b2ZHFEUcP3ace+4+x6tbVm/y/FyNjZET7e/wM5+1vuljH7D29ItffJOdTbvX/Z4PX+Cp161vGh+OKaRJyKFUE1tB6DV/Fhcb9HoWTWUadZZEsHuSgZaGBFXxw7sHE49SreuATCq49UAxFH/g1qlWymtUDvKCithTXWdUBA00EDsOSkMhe91yI0aJqv7Gxef5wq9+BoCHH7Vo45Nzy/ypP//tAIwGCftd649rlYhabKvahSDv6oFm8+o1AL74xOtUI1sZrFRjWh3r34yy6zWuVhiKltlcte7FqIvSkI9tRVZV21SkGuqk/oqitBpJQKk0czXHFysAAQAASURBVPMr8h110pFFv3X3t+W7FHOdDgD97i410bwc9nqCQn3rkTgGgykzTAmBoAkevHeBXbfPNVf5Dz/3iwB830ceBeCnPvMi2yIC/X0fPM+Tr9k4I+uPKUWbsyt6SS09FZA9VmtyIPsK9ZqPm2ohJDJHNdlL9g8nvsRbUZpMfHo9UF441+2DQRiQC+JraBRaxMxrQUJY2HXf603kuYBSEBBlUnhB54ePd3ht366PtlTbD/spqyvWryRpRiDXmGfT/SQtnY0btKDKsoHx6E5FMa1fS2X+q089RRD8OuhPw21oUe8Mvd8xM/KAJWVh/bgOA8rSVdxl3w0Cj/JSStERlGZcqbK5ucmdGwodxAyHAy6tXQXgve9e5Jb4GOJlfuHznwbgD3zcxog/9oln2ZXGPr/nw/fwxCu3AEgHE4wIzDt7qjO1p9WVJod9a0/K1Flw4u/KkEls4BgZe72xF7quakUi81yZsSct93I0SunK946i3Dc3aKYpYSm6sBNrT3la8soLVoR5d/sW77rPoo1+3wceg4UuAP/VH/kgALWFVf72//b/AGC/W3iEn90q7eNErqVVhaagqYOJ4lAaVlSqc3zgg98MwKd/6bMy5YbA6ZHW54kEAZFMRn5LqtVb7O5Zf5NK0yi09kj40pSCGoXhUNFpW1/Zc01ETHnb3uj2V0N5OxT7rRzGYLIEdIAWwff7zja4IT6G6gqf+PynAPh93/EIAD/+yZfYFqTK93/z/Tz1mj1HpP0xgaCiem6/C0K0802rTYaiYZkaw3zT3uc4jBiJRq2YAQfdid/3K0qTyiw3Q82kcL7JxeAGJTHtyBRUCtl7soxQUCkTsbVmFFCIPyoDSDLXVKjJpa7dg+dFwH6/l7AqiLBxidctzLMpqj2Va2nEUJdwKB+EKASlpeF25Km1wmbL7oOdziKHhxa5Nhj0cTZqMPiGTtPAmqmC1BRNr5TytjFl65gZ3aWZeEt9DaL1LR0KCDB56ZtuPXQsYj0VW6ov8omftX7pB779MQD+3adepLtt18p3vfc8z7w59Uta7lNvZOehFU1Q8puOrbamtoSh03BNKSK/jznkX/cw8ftYHNgmZgDtUJPI/VMuZgK0aLiNi5JY9rH6JCOQGLsv57kQQyaNxiqhYSy29OCJOS6LXmVLGh8c7AxZEMaYQlGXOCAMFGNhBLlGHXGoMPJcdpDjhHuvvP4ChDZecWQtXe1gUtEDMwaCaTMbRGvbGEUpaFTtwOx5QSLnh5WlObqH1vbzLPB+zllNMsk52D+QL5zR8yKgmAz4rYYyd4TCc+eGUoGx26ABgZj+/b/4IXavWUe3dPoUu0KzO3FCqBH1mF/5st2Mx2HgYdDjwZhl+Yy2dDPIFbQFVxyUBXkqVLKllncVL251uVcEtgsX5Fc0Wm5LRRm2t91Ny6mI5xy5hFUtZCTJhrQoMZm9B8cWmlS0SxaJoStDXxx3VmuQt61zOrh1jX2hCu4Ya3h9s4XonpOPc4IZp+Y2LydWmISaV162B9bJLY0qXYfKKvPzFk6YyCaP0oyle2JZJLZzHTDXmefEiZMArG9sUK0KDU7g0FEUkcpi0UFARRZWlmacPWM7LwxEfHFza4cL994PwPWrbxBLEjMZjymlo0M6eO0ZY8w7eQuH0rFRlVWgJKzaef7bf+Yb6G5Y2uDymdOsi4Du6nF7z09GIV/4qrWnYaApxBGNxxMWBUY6J4mOItB0JIkVFDmOTdWcb/iOQFf3R9w3J4J64pybFe3vX1XD+qY9yOV5TihdNIZiT0E1YuzsKS8xcj0nFttUJAJyqOdEQ1eScevjnEv70uggjhiKU98R0flwriQVJ/Lo/W/n7rOW8ru9e4tXX7PQ/Zp0Gn3l8jZRae/p8HDAtlBbAhXgGin55EQ2wQta6hn/o4PphjorVhk6x6kxYgu2a557HzNUodtFq+1n5RgJ7lDS8azYxpj0LU1Z6LBqotYZjDZo4Xv9v/+reziQuVg+fYItoRufOW3X7IIpeOo5C+kdBQFjSYpNxom3pU7ddWsJWBG6TlQW5HLKbnUavpvVK9s9HujYdWgEjtyItQ+EY2XYcr4pL3ww0BebCCvRtNkTkItNnD8xTymPjROJRvlg8uYo59KBtaX5esyhFBCeXbPPLZyoUXHdsEapz2HqQPtuVXL2JZsLefW69U3pmiHbk4s3U+pEULUBupnpSmb/7R6UPghjRlR6muia3npTGk9rMUXuO55NKZEzXRkN/hqUinDEy2Lw8h3wTaEJ4jne/vjbuXLDCnH+pf/yUXrij1bOnGJrx+51d52z87GoFE989RoAA61JpAA0Ho9ZrgglQwIfE2o60pk3KAs/RfV2nVL2iSvdEQ9JgrKQm+b2R4BGoLghB46ynAr8D8UuomrMUHxTVpQ++XB2ZY6qK8S4ZEIIPbGbq/2Mxz/4Hvv8OGUkwdwlaZ5xzwOnWBHK1N//B3+HoSRDwyhkobUA2L0DoHX33Rxs2fk5OXeBz/yCTQ6OBwNaHXmtXOOxE2e5ctmKsR8/cYpDoUFOeluULiCNqvA1Ir1BGJK7g3RQYU7ig05nno2b1+1cuE5LhWIie2uZ9tFSACiLnCCsUEyuY8rJW+qbVBCZsL6IKQ06tnbwN3/wHZR7XQDmjh1nb8/JE3QAaBUFTz1tr70fhL7BQJqkLEqg0RZaBZWIBSceTknqGrs0GxTik1/eOuTBReubSpm4Zqz8+q0FeFsC4wuHE/nesBr5RkJpXnp/cWK+SUMOFM43mUjTk0LBlUHKm12RFKhEDIRKu4VNCo2Kbd/5LJlkU9+klI/pYre/LM/x5i3xQf0a4037WWEY0eu7YN/NuplJGpS3+5Bfb5+S9xkz9U/GlMRSmEiSdOaUIImusELpkpUqwImVm3w8JUqOX33LfVMYVU1n6TSLS4u+ocmf+d5T7F2zybVjZ8+wuWkTu489ZJO+apTw1FPXABgEIRPZ69JJyqKsjTnZ60wcseCKf5SkjtLaqPumDq/uHvLAvLUnd+xpRppCYoeahptCT1XKOP1vCkkSFkHg4/DCGEqJw88st5iXDmGZxOFr/bFPKOwW8Kp0Gfi6hx/m93+v7eJ6cdgBYONgnf/wkz8CwInjHa5cs2tIBwHjkfVfNSnI9KKCS5fsc3PmBNuibfC7vvv7bLEP+MynbJJn0O8Su657ObjGA1FcIR0P5DsqVOrW17mGTqiAiXSSrcSGQhKneWmme6QMITjaf5TG75s6iOw/k3VMmby1vkmHRkUtlNZo8SH/0x/7BvLtLgDLZ06xu2PX7zsesv563B3x+qtSFEQzkvglmUzoiG9ynZ3DSsSCJNBqykzlDao1JpJceG27xwNCG00lYdOpBp5CVdGwuSXdeJXxSVPXeU5HIYdyDUWJX5MnF1u0YuebHH9Se+HxjUnBxX0b4LQrsZfxeEbipsXjde+b0iTzcbHSikA+L5ZkupmLefmqiOP3NemmawSmfOyNpxVCFDlaXZu+SAZMJqPbBOZ/M4rhrPa8mulG6/ZGYwqU80dlNu0Yq5SnR+aDt9Y3qaBiwsZJwBC17e//oT/yNvo3pWv13WfYkOY673ncNsHa3zrghedtcmsYhd6WJqMx8xKDz9rSotvnVOl7X4WNuk9YXdzv8+iqXYOZzMliLfRxTlXBDemWrZQhlz9MxBeFlWjGloxvLnZisUVD9gJ3nhuXMBBb2ivg9R0bG87VKgxk33xGJJXOnV/wci6TSYEcx8kNGCkqdtrWn+7nhkuX7Bn84I2bUDrQgPJJy6huX1trdegf2O81+WQaN6N9rkAHoRWtB1+YMUU23QdV4GnoRaFozXUAOH3KFhRu3NxkPLTxSVypkySuA6OhlAS1Sa//hrZ0RF08GkfjaByNo3E0jsbROBpH42gcjaNxNI7G0TgavyPGb1PqooEw5CERI2xX64xEsHF/75Bv/6Z3APCjP/0rAFwyBScFPn9jWKAlgzpWcEKq2+uJzTa2W3XfrjM3JUtO2BtDltrn37W6yEQgdx0RrRwMJ/SlWpOagkrVtQ/FQ/PbgsYw1ZBcEpnZOKci+cZhaXyb3FQy9zmavmS/i8mArT1bodrd3+f6ls0Kh037XHsl8OKpShnS3EH+FRWH9JrYa4kCTSjIVooCY2yGtBJ1OHfGCoZub+/Id3WZFn4itFQFDru7DIRGY4p8it7SrqVz4pE0eVHhQx/6EABvvnGZTamIuWoEJiUK5TfnBclhF4CHHnqUixff4E4NpRRRpCmKnMfeaTP8i60WSVNQTxt7fPs3vR2AH/n3FkJ+0RScbFl7ujzMkYImZaQ51bT3eE3QVgvthocYJ8b4ltmR0gyFevH2pRZyq1hasDdlMskYDe185qagJtXN7mFOJPO/IKgxUwkRpDTpOCcWtFSvKAiksjRyUGmt2ZPq6CBLGUg7791izJaI7rsW7kv1Fs26te/97o6HyrfnOrzr694NwKc+bWHA83N1dnbs9W6vb6NFILBIM5DWtK6ipXSGcYguM8OrnakWEJRT1UKhBxulwaHCitRXG5WuzFTDHe7SzCpvTp83BdP2yG/tMGVOOtlHhyEnhNpQjyqMhFZ469Ye3/lB65v+5X/4JQAaCu4WH/J6N/EOOQ80J8Rf3JKKTacSkTt4uDLM1wUJFcBYEDRfvzJPIrDBTsfa6HiUMHC+iZJmzX7LbjenkCrSfENQc9WIbiJrNjdEIjK5OUh9+/WeVIoKHXIgvrSfT7yw71ZvxMauRYCGdUEMKeUr6VpPBZtDpTx6YSJ2qccFtXl7PePLQzyCKmzibnTpqKi2J7n9uw5QQtdETYXRb6cKyVPGf5StRjqEvYq8SOuUGhxOERbMfJZSM8Kbb/3QQUCj3WZtfYt3vNuKyreqFSZ1Z0/7fMcHxJ5+ytpTnYLTLTt3vWE545sCjss93hR7alfrnnBVGuNRDChNJvf4sYUmgTj/trTVnowzX/XMKWmKT9vvJb5ZwkLLrn8TByD62b1xTiT3aneS4VqMjBzdUQcMZP1X2g2u3LT72rd85DvoHLO//8/c+4ifn3//yX9or6vdontgq+KBKj2FNhK00ercArmy4q3HG3PUavba3v2ud/PUV5+y1yn71Pr6Olr2pK2tDUwmDTqICAXJVqZjjMDzaw2LAhiP+r5KrYBBz1EMDshSa5NJYt8fxjVKoWjrMPDUNIqSIpswxae8lUMDVVRoWDhtZ75MMkZCvZts7fGBr3sIgP/wi1ayoEHBuTn7O0cjPG16GGiOy96zIfvcXCX2aKq0MMwJojVTmpEgq96x1KKUNdl2jS0muadNZaqkIcieg0FC6BCEQjFU1RDpRcGkKAnks3aSlHF2e8221AH74k96ecZBz17DphmxKU1XIontFldrKIm34kj75glRFOCwsA75UxkV6Ir97d2rXcpEDH6scA5Fy3WVReqZXkFUZaoNr2d8i5rSn1wlvEg9GkepkLhlEVFZeeCr+665igKqgjYYTxKMVLfRCh3cjnZ6K0dR5Bzs72NUwIn7BZ3cbNOr2Zh0Y32H7/jg24Bp3NRUJXe17dxdHBnvm0aR5kTTPu+oj3PV2KP+xrlhQewiRTEciz0ttshc3CSyE8Nxysihok1JXdZsb5h7KmRd4ptuURBKnE5W0hAk0N4kpy9xbc9TegIEr8cgTxkLy+LJl1/n1P3vAqBz3F7DtUvPe8rz/s4hv/rJF+SdHf7G3/qDAHzqV74IQEyN5in7I953+kO8/NKbABx0D3n1dUtX7wvrQZnCI4gwilAExIssJa7YGCIII09Jmgj9v93u0BXbzLIJBc7ewNPUZuMjF4Mp4xE9BouQNrdvo2/h0BgMK/dZhkhLlYya9jdtbe7xzd/4NgB+9Kd+GYBmAPcJaubwMEWY5ByiWBVU4LrEPJ1q7EPMtDQsS/xzqCCVtf721Q65rMl52buyScZQEMaFMjTFBvdnfFMkiJ+gFuEMen+QEEuc2s1y8uJ2lo5KA3oSCx2mCYcS528ejrglvikWG62E2vumQMPENX5RgQ9vHDosDELmT9nfvv1igY5EbD6PPJJrKi6Pp4Hv7B5w4bzdXy9dvjxDpS6YYvxc/KPQ2smEKOJYWDpZOoNCtd+rZpD0SocehTqlPt6hoUDX4MJ7LcPk1EKFKwfWX27c2uPb3y/nuX9n8wMNSu6S5kev9zMC+fmp0pwQW1oTv9SpVTDCQskKw7J04+or4xt3PbLU9vd/XvaYMss9IjozBS1pVrDTG1Nze6J8F3FILkuwO0gJZb4PJjmpvNbFTLlSvvHLwWTobWm7P+bWnrWlithSlmS2EQCWkpyIXYZoKrGTDxHGTJF5BDpFiQ+WdeztIxM/HMcjHz8prdGxsJNM6RuKGZOjHDPHI76mDfNsjwOhVRYT0rGN5/o9G+uePXOa19+wMVNciUgzkUyZOQf+ZuMI0XU0jsbROBpH42gcjaNxNI7G0TgaR+NoHI2jcTR+R4zfpoguBXnOK1+x3PdL71ziw/fYlrqffHqNNy5b/SQjIg6HWcEJJzRYCYkls1iUhi9tW97noytW+ypJc2pSsVupBVQEsRAUCRt9m8HciUKWBAnmxOaGWtOSinieGgaiKVKNAi9oKMU42miGUvpe0hGhoBuGCjalCuFaYDerNY+U2t5NmL/btlQ/ee5Rbn7GCls//sjX2XnYfJapkOBUzkGhyFwGWApC169kTG65TGiBUqKJNdrn+nXbPvSwZzPCRV5w3/32e3e2N6gLygcKNjZ35UsMuSBJAkGBxI0Gxdh+R709T0Pe1+sf+Exut2crgAsLy6RS+a43agxHNnv72usv8aEPfhSAT//c87zVwxhDmmYoNM98ySLYNt7d5T0XrD194umbvHHZ2pkT1j8sDMsi+teqx1DYTHSRG76ybVEIDyzaatM4y6kJdG6loQnFCHSRsN4X4fqiZFWq1qGa8pvrop9TpiUD0TypVTTG6QOIXS0EAROpoFcJCZw9GdgaOnuyz1XjAC2Ps9SwL/bW7U7bzhcD+13f8M53cfWarTDGccStLaslNTfX5pnnLRLCoR8Oum36B107T7GmHFsUVqXeIJHW1UpawrbmFun17GtR2ld6MCXK8ft/PdF4xRRBYwwgSC8T/ZrW4aB81dwY4xshoAKrFXDnSpOUec7aukXHrXf3ef89tiL/yafXePl1q/9Tyr07oCQRu2/UInL5HVle8tWd221pkufURRPteDMidNXdLOHaof2+7ThlWZA7ywI26GFoVZ1vyimkkrfYrLAn73PiuHMG6mKLUaGoiK3spDld36rdflZI4XW7sonhhrTETrLC21IpqEXFVIDUKLw2GGaqj5RKeX6viBluCTq0oimHTvMhn2qKmKmmlvssRegrViqu4cu4yswgstxFlDPILD2jDV1M3+ZtsfTfZ6/DPZjRGLgDo1qpceHCQ1y7cpHP//JrAHzrfW/j3ResgPovPLXGaxevyDXZi9pNC45XZe+ohBSCLMjzkidF8+RBaXOe5Dk12QtXmyGh2IXJJ9zsTX3TiqAtFkVbYRQqGuKbVAZd17Ag1N62SqkgH5ure5uOVYSWfWigFJsizuv6IdRixUT2zVvbh9x1ysotbHYLvul9UySXG//wR/4XAHq9Mc64oiigFH/y2AO2cnv9cIHH77af9eXP/iqRrKHROGX1+AkA3njlZXuNzRra76Ea4xphqBnkaRh71F8i6EelqpS5iD+HAXXR/BwO+h65kieyn5YTrw1c5vnUoIIQwniqcP9WDwWUJbtXrR7L2uEhHz1vf/8vPbfOtRu24Yzzm10zdbe1SkTV2VK/5Mldu28/siyItiwjlQrwqXpIJMiDgpLrsgdtJzkr4pvmxR9PSkNVqsmhUYzFGKrxFFXoGui0UOQSdwUEKOd7dMC6NDQIxdYWGraKDpBNCm7uiQZNmnvk2cP3WNH9UblhGwHIdwW+WYfycZjTnru6qxn1xe/mgHEhtPIaI6VDROiqR7+XZUnotHTA671FcYWq6JE6nRylNK4BSxBV6HUP5DsSdCCaN4Xop+qY0cChWAtfbVdGQ7rPHR1a0Tvco37D3pMrm2u8917rmz751Zu89uYNe61iT3uF4YxMXS2OvO6Z9U12/h9asii0cZZRFT2q042QyM0XBWtiTzuT3O91C7IvTArr98CiyXvib+JQ+fh7XLjGAppcUFyHkwmZ+I1GpcLWoV2rTv4sCAtKOQuEOuT8w7Ypxqc+8xnes2XZCSsnLCNgY3uThjsfVDv8pb/+FwHY2jkgCuw9Xp638eXnr+4y2rPX8BNf+TFC1bG/bfeQgTR90S4mVKFHyzTmlpgTvd5bG9cpRIDM5Cm9vtO5k3gun8yAmwNOnLSMjX7vwAMqnFauKc1t+59zTVY3LvCfeUdGWXLrJWszG++a59vusfP5i0/d5PIVicHlig/SkkBYNfVKSCxONitLntqxv/+Ca36TF6QSo59pTPe5hkm5Kvf5ltasCJJrQfa5ida0607zLqc7cD5GTRtdyPXUjaIQZOUSGiO+KdHKn+ncWApqFKnE4GPDtW0791lh/Ofl0vDCrFR97F4YQyjQNa00ufjKTIy0G5T0d5wuW4gRm9A68oi9Rx+2Pu+ll1/2eramLLh2zZ6ZG/WqtwV7052WrmuUMYP+U4pUEM+3aeMa9zhiGqPraWxuCu5o6sEUlCPDa5+7BsArZxt8+LyNwT/x1Zu88vp1uSb7O/aLgrPCEGjUQipyNs/Lkq8Ia+q+RYsIHyUZjciijE7VFUqQRXWTcL0vMfgk4JRodDpbGhYBrarExJlhVxDf1SDwMVMu+0czhprYXag1RtCjY6XY9Oc5+1MDrTgUNlpaGG7sTmNwrw8pqEQbFzkkYujzIxTTplTpyP791asl423ZP7QGLYJeZsY/RLKHpynTRgQak4s4/Iy/UDqYQXJJfFWWaNHDNaakUpW4LB0wkWu+ef2KXO8NahW7Nxx2Z/Y1J5L2W4zfpokug4rraKHFHJYRP/zpVwBYbdV5+Q0rTN+UNT9PiBa4YTpMPIrzRKvCXW07ua4L4iDNyZQ1pl4CJ4X+s5dqLqxYA19ZaGGki8Na1xrWjX7OSYEpnlqs85Q4r3oY2GQI0Hai9EpzSr43TUt29sSxlJp75BDiBMPT0ngx6t1xwdd/vRXo/aF/+DdpH7NGdPPAQqOrkUaLkwmCklycaV4aSjE4LQKExXDaXVIFodccNGhS0eheXrLdF4eDPpubNwHbzUdruyg2bm37rl0qqPjDuyldEqhKX8T8z549w8G+TSQ1GlVuSTcnt4mXpvSduhbmF5k4MT6T8+qrz3PnhkGZEoMikGTR7iDnH/3Ci/ZamjVefMMeAOpiNyulQvwXyTDxGcyVZoUzLfuHiiQDRnnJoQjnRYXmmEBkt1K4T+zp1LE5SjngbYno/41eykmBxR7vVLkpIqX1OKAigdy8iEsPCvznDkcFaxI0xlHIqY79Dkc3S03JnDjy9V7CvRdsp8tnXn6OZWneUBf65ZNf/YKnboTKdh4C23XIOaI0t6+9eX2HSPi4Jgs95D0ZJWhJfLr7Oxhn6Mq8TL+hHG9P74ZbnDqY4k09MjXw4oZGgRI6UhQGZP7FjhKZT51gkfnDDWVm33wnugeBhYgrTST0sht9zb/47OuApR6+etH6ppZczok4RvJ/DPeHvtvKsXbF0zwcvXeQl/RSa0uH49gHZruF4v7jtoHE8nyTIrG+ab1nE4w3DzNOCXz51EKNS9eEuhNoTizbDbku87qdFMzL/S8LWJMuWSoIWKpbG4slaXYwnNAUepgZTtByEA4jWJQuZlV5rTZTSk+gA1J/EDaethvJ7+3eMiQ3nMBkONNh0eDur0uwFnmOMS7IH4M7TJYpWg7TZiZgn+7SwdeyGf3ff83zZga6bTsfyEdUfaOMOzEqlZjz99xFmvTZ6tnD7n5S8E8/ZZMyi/UaL71h/XJdfO/JMKQMrX+ejHIvsLzaijkrlEbnm4ZZQW8itpCHrM7Ze7aXKe5dsff67LE5jARzG3Kgvt5NOe18U7vC1fUuAI04oCb3e85RjQo4vmD9ysc+/v38xE/+BwCyvS4Xluz1bEt3rQI4LRIEu5OCb/nWD9jrrTf4Fz/1QwD8yuetkPze3gatiiQIxmMaoST6K1UWpGvwpU0bcH3py5e49JzbezqcOG2752YFmMDut2H7FABlMaRSk8P2sDcDyQ/JpbhBnqHEp7kEutKKzqL9jHazyWmh/3/pi7/iOw858WhTBng/FQaeFoIKfALtzowAY0q/TveLOj/6K9Y3LTWqvCKJiba40lWtUNLNJOuPKcX/n5qrck58RFVsqUxLehPrm3aKkJNyyNwcZlxYtD5mZbFpqezAutzzG4cpZxxVvl3j+k3Z56KAuhwcW2JLvaxkUaj9ebXKzVuSAMoyTs1Loa6YFhVbsj+mB2O0XGcUwdKq/Yzu0FLDNIqaS94HofdNOcp3FQ6bHQBG6ynZjgTs2UzzFKY+YkrNmZIGFfiDaVkUBE5gOk1JJZasViTQH04Tt6gGSov9lDlT2r34vDInkN9pZrrilUWKDu4gRUhZgesim7C5a9fWzeFJ/tmnbGfC+UrES6/ZA2VbHOqJivY05qQ3njbNaVe4S3xTLLap85KBHOB2cs0xOThujnPOSWfx1fkWqdBnNmSvWztMOSWHxJPzNW5JE596FFCTxlOOrp2gPc3xve/5Bl54wcbRpVGcmLPfMZYwoTua0JT4cPtgyGvrttC3eLzNE6/abqVPvmb/P9+qUxW5hiojVGmvYX39ZW6s286lUcfGLsPtgkKKOiYtUQ0RhV5YIU3sevQtc5SiNWf3+Uaj5qVFFhZXpwmgvU2ac/azXcJirzvyXcoeeeQR5uesf5ubm+M/fuLn5bOdXU3jIsPsvqcwJrlDcZMCNJgSLUnfy/sZ//yKtaXFaoXXL9oYvCPr5kQcMJRE13ic+IZep9s1jonfaHi/kdOTGHy7DFgU37UxNty90gFgZaFBLva2KwnGm92MVaE5rjYibt603xeH2u9zju56mJfMSTymm5prsidSak7PW1saOL9iDBWh1GYjM42b4oKlVYnBxVYpS7Ssn0jHvpFaZkqf7GgJSGNtbcx4w8XgE5/owpduIMvsb+x0OgylM64JQk/3Hw5HKJ8V1Th7cOsyzXLfzdwmUmaor7/GNpIZWraaMaXo1xax39KhQSVE0qhi0lrkn33axkwLtRqvv3F7DH66Gno64uhwPG0k0KpxUuRDXEfWQZb7mGm3DHysvDmBc0t23d1zfIFcujG689x6P+eEs6VmzLWbXQCiQFEVWRrXrGmQlbREGqCMKtwc2NeqwPjmLxO5xiDQrv8Ih90JShK+YQjLPga3L4hU4Bucqbz0VMFBNmFO4q5EYu3h3gHGNTMM6pBZ/0pY88UWV9hTYZ2wam3clLm3Ax01KfNp8aaYWH8UCM26zFLK3FIUVdRiLIWGOA4pS/v7U1m3WZKSlyJAX5Yz9hN4e/3Ndrsj6uLROBpH42gcjaNxNI7G0TgaR+NoHI2jcTSOxtH4HTHuKKJLKfUR4O9hy1D/1Bjzt36D1/1u4N8DX2eMefq3+FQIYkyRc/x+KzZ3sLNHIVm94WTIyYlUJ0RosmoUt6Tw3oxjYkGbpHlBTbKom4IgalYr5CJQeG00piE0h0xljKUKuTcY0liwleAvXrNVRRVV6Dsx9qLwLZfHecGyZFGbkpmvtCJ6maNHBBwX+H8/yT3NsdWUymVSeNpMcP4k63u2ynPP+VO88pqF9X3P+yxFY39vl60btsqT5yW1mn3faFLSEDTGy68JBNwEaG0rTaWuY0qbmQ7CiKq0De0LBHqSpL4atrV7hWpNMrJ5QSmILm0yEIHeQp7b2b3Fd3zs9wBw8c1XefbZr9ibYEri2FXgpTpgCtbXLDohCEJqcr2D/oDNLfub7thQClTJqXttZWS32ycRuzgc9Dnpql0i/t3QmnUp9TUqMaEgldI89+glh1KoxBGBVFauTcZEkg0n1OR9myU/TBIqgnr41asWlqmiaXtYXRQooQpNioJF+Yym68xaCdjtCgJGBxwTcfPDSYYShNS8oDXSpPAQ/larxWtr1+zjTszWus24L52xr40DTSy58LKYaXOelVSkCnH1dUexnfMIwWa1zlAqGUmSTsV5ZZ4ilZNMpEKgAnBzoqYQaFMkeOVhl6oPAk83U2HF83DTZOwRFkTus5SvPJFnU1QFhYXh3olitwoIwjlMWXDsVMd+da9LKlWx0WjEcUEcqYb9fyNS3BDf1GnVUEL1y8uCQFBWt8SW2vWq7yt8ORkRChSs1DA6tGt1r9enLm2yv3jN2lIQV5hItaSqDWUwhWaHQpNqi69I64r+RCgaYcipZRF8nWS4SQuEKtiuVNBiH0lWkEtVrNWqsLttr/nYWUGBBQE18WMFpae+DdOSutjSyw4pkU/pg5SBrwoGcRWPZHCizDr2KD8VRLZlMaDCqm9nHFWrXhDc3yqFb9Vt0YF65g+uSjmL4pq+UZkp9DqSiu6dwHV1u11+5md+mmOryyyes/5ha7NLLu3Kx5MRx6TTeyHt0+tGcUMaTMSVmJqjzWUFSu77plRym7UKStbY1d6QKHDtzyNSoa3vpQl12eu+cNXS1HVYYSTV9NAUhIIwTfOCeaSaLvNZb9YYS3XulRef4bGH7wfg9ddeYV4uLjiUynsvoSmUn0ceeyc/8XM/JjORc+KEFcu9smVp9VUV8OBZ+9yJ+VO8+IpFdH/4A9/GoexbP/8lu1f++T/1Z/nX//xfAbC2f8g/+Pv/CIDf9dF7+MH/7kcAeOMNS9FeX7vO9RvXAFuF1iL4rAh9pdfojDASVJ9UGaNqGy2+a23tGjcEjUAQUwgirjZn6Urj0RAy+z6l4ikVpExRYeUOsqpLlIKFey0qRA16iD4+Ok9ZLIXeLPeloTTXhlNhdof6TLOcqtjSLRGab9Ziq10MXOuNPNLLKM1IKB27wzG1jrXjL16RSm4QMxI0c2QKArGlJC/oSHW5KftHtVXlYOyosZqTgn4fJIXHLNQE5Z9lBaGjOQclpTS6mWtV2Lplr+fEWUHd6ICqIKWKsqAeucp6QUOu58qhIKXGBiVUS5Nopo5KTWnRMjTlDM259C/VQTBFGIPfiyaCKNHRjJ8rR34PN7NUEN/Ex3jBX6U0BtegJL6zks/GYEyOjgIeeJddh+lhj1y2YZOlLJYivSD+PSoN151vikLkafKs9BIgW0NH44/tPgBcGyVEoaNQBYy7FiWwOxhT78heJ/aEjhhJ3BQbg3L+2ZTMiz20BNF+y5SMpZnAyy+9wnLb2uY7v/493Hz1GQCeW7OxZyXSfj8oKDgY2ljp2HKTbCg007agyjZHnFuy92m32+dg3yLWuwdDlgSZthdb1Olia8KOUHFOnryHzQ0bA6/fuMJwLAgG2dPCqMIP/MB/AcALL77M3p69xu/6ro/zb/7tT9p5VwGDvvXdgcQHtWqFat3O0yuvvc5jj1r6Wre/ybET5wDY3LBnCdsswsVdU1S9ZT3P0Lff0mFQymDQLIjMQzwZU0icofOUeWkOUErcEBnD1aFQUGsxkaCYkyyjKba07va5eoVSkJk3RhmB0KUCID209/FwOKQiSLcn5EynwwpjscGwLHGdVvKiYFHmtu7QT9WQsZwb640Kdx/vALA/Sr1w/bwwc9Ik9wLjr+/0KEX9vNWqsHnL2tDx0+LPdERDYtvMFDTl9/fSgrrQGC9uiQRAEqIkRi/HysvRYBSRUFB2duw6OdjfxzmeRx55lJdffU3uRenRfxZlJ2flbPqcazZmTEFDZC4GQ4nnmaKcMWpKV5ttcmCKOytIbwAiLrzzAQD2L9+klP1IjSfMu6OAxEyhgesS89Zrkae2ZkVGS2Iix45o1auez3x9OMalUHSgSHvWL+2VCY05uzd9+frUllxDMJ2XGPHfSZ7TMna+6rIn6EbIWNDTuYJTK9YuD0aZZ6PFgtJK05ya5CiuqjGFa+DSrrC5ae3/+BmLtlKBoSUyOpkxnonUaFaIAzspL99w1HiNqglKa1JMqYul8U0XnHOwrK6pTIw7A0Ppz2AWSR7P3iB0VJki/tSUdZFmoJQ0FBK0clkaKzwP6Ljuke9KKb+2f7NxxxJdyp5Y/wHwLcAa8JRS6ueMMa9+zetawJ8GnvxP/3ALqVx/0UIQqxfOgTjFOIwZSGBZcR0ViwSNvcHzofZdxQINW6Il5PQCiqIgkY3yVKfFoRymn7u5x90CU3xkaY4NgdS9V7qrfeniPu+6x+oTDA4nLEiiqg4silHuSgKoNc6JZQHds9ri6q5dIG+7Z8VrNxTijL90fZsTcrMXwoJ/9hm7oakw5IToGewLVa2cpLzjEds56UvPPOedaa0SeI2uu++RZM5ajZ5oQuiy8EZEGbGw2AHg4u4mYJ3UUAIQFcZkxTRJ5xIPcbXFwoJ93/bWLZlfzS//0qfsb2530LLIynxEmljHkWVCfTjc912CVldX2Nnv2utR9pvu3FByeIXrL8p133+eSBxGo1IjFcoJch9vFQmxtr+lozS70pGjEmgOnW6ABGalMZ5QfXauhai48MLVHe4SmuPXHV9gXw7i33i/1SX40sVd3n6XPRj1DkY0BLI6R+zt6UCcRCUrWBIodaURe+rFwlyTQuy31bCb3i+/ucZdApt/tBbzgmSAtQqIFqxjq8kGWlWBW1bkGqIZ/axU7PTU6Q4Ay+0HaYm23bPPvkjmaD4Y8kz0RAIb5CU5tnsHQJHMdMeb3f5mklqeJhRMDxNlief8oabdPQTarcKK1wRQlSZl5mCvM5TGt3gopdFBnbw85NoT9uD9ge8856l5lbjCRBJuNfElV/OUUDaqBaXZF72qMDdsjW73TZNJghFbWp2v++TK01d3uEs+78GFNtvi377xXmtLT1/b57HTdt33uxNigWHPac2i2NWmUEAqQUBbgqW5ToUst3+fn6v7rjKhJBNf7h9wom3v6TedP86NiU0wFBgqc1JkkMN/tQw8KyItCiru+UiTSMLpzIp9wbWN0h/6KBRI8sSi4929cxRX4xOsNjEoNlqWPuDKs2wmyJL32ewWYP/ngjsVBFPWkNNGMWomvi+9BmFRTAjCOndqaK2oVStcuO8BvvrVJ+yTyys4gwqCkInQo4ycGm8UCUFk1/q81hyIpkNTB+wJnN7pAGZpSSpUshNzTYbyI1+6us25pp27d9SX2Jb98D0XrJ7Tly9u8/gZ65uG3bH3TU0i37nxQGha9cGAet1+xzEOORzYQPv8yXkmYnP3S1fSLySbtFwSdXSDnugmVeImT1yyYUND/Fy10Fy9aRNZ128eekLXFz73ixw/dR6A7/34RwB4+vkneN/7vw2AtZu3+Kt/7X8E4MH7f4T777sbgH/zo/9Cfs8tzp07C8DFSzuSdIAwCim0tXUVVclF89Mld4I8IU0cBTH0tBLSkben8djtscW0e2yeTRPyBkyWcMf2O6Mos4Tdl+2+ru46iXZfFUYkYkuqYX/zmple26LW7ItGaUMrtka321KRZF5r73inzlgOFl+9ssk5oSY+UGlzIPvGN0l3tS+8ucnj5+yhP+knvjN13cC8o4u4LsPaUJVEVrVV912LO0FEKNpFseg6/eqVHY417Tr4unPHuDqyB9rcGGK3z2lXCNU+6Z0VpZd5iLQilazjKaEf9ffHvlOtCNbIY+UPb8dX7GH91uYWPmFlQCkXbhuYTRi4h14QaSahoJTvLlmrRAxTRw+adsZz2qGmyD1d29KV7hA93w1jMGXJq1+0h+QPfP9DnjpKGDEyEmeLNuutIvN2P6+V79Lb0JpdWRtOKiGb5N6ejnVqTOR9z9zY5qxQE++bb3Eo/vzr77E29NSVPd5+l03kJv2EtuyLDfC+yXXjbGlQ4jdLDT05rL/8ytNMhL529oSN6V9e22a1ZW3gkUaVd33b+wB45Y1LSFjPsLTnkeEoIRDHcNAbEUqBpxJrxnLY/eb3WL/zpNkn2Rfpi6Um99/7fgC+8uUnWF2xv2kwtH7QlCX/8l/9awDq9SpRIDqB46GnVS8uLnsz6knCq9/vMRE5g3PnzrN5y67/ldXjjEf2NXOShD842Jnq7ZS5l6CwB9IpVe2tHUr244CdF68B0HzgAYaiaagqMWP5fUrovetlSkU6/s0rxZ5QUJthwLbETT5ezUpS0Tlana+RSXz73LUdTgud7MJck13ZC999Xs50l3Z5+NQCAMPDie+KVwPa3pYkniu1pyN3GpqRJFDv7syRiJ+qxPb9X76yxYJQVN9+boWNxJ7DCqC6YD+3LsmEGqGXhEmyjEJ8VhQEnr5294JdDy/c6lEMXedkMMadNmq+gFwaSfJFdZTEzCdPnuKll1+W900phkU+8TQ1l2FRQFnYtWGogJYkikq9rbjYLAyUBz0YmHZRV3qmiHgHhiqBkld+3gIrPvy7L5C7a4sjUlf0lu6kW0WC00Sc14pdsaW5OGTHx0z2LUU2zQ8cW2iQSbzy/M09L+ew3KyxJ77LxeBffGOHR85bvzQ4HFOT1zYIaEsCdU/mqpYXNB3VvhEzEZ9xutUgET9ZFeDJV69usSiIhwdPzHNNYiajFbUlOf9LUq0TVVDGgRVyqvK92hjEJfL4g/acsLO5QykFyIKJlwSBYKrHNiMH4uRDKFKUJLTKPPGPMTMxj7OJIve6zQR6Rn/XJgZhuiU2mxWfTC3TsU+alUbNXNtvPO4kdfHrgUvGmCvGmBT4ceC7fp3X/Q3g/4NTrTsaR+NoHI2jcTSOxtE4GkfjaByNo3E0jsbROBpH4z9j3Enq4kng5sy/14BvmH2BUupx4LQx5hNKqb/wG32QUuqPAH9E/gVFymx14dJd51h6wVIPjsXKUwjmJRtdTRVrkho81CWpZLIPkpRwYjORq1J1zMqS+6Qi1M9Kxj2b0V0fDBH2FzQCIqkmXNm1WfMHV9qUItCtS+OznntFiirsd+RS/dztjT0k7/JBz9MVX7h5yJKIqnYk29wCnt210OdOo8mcCOXGqqQvVMGXL9qOGSfbNV46eE3+rkgmU0hfXaiA+2u2QnXp9WcJJBNaFiEeCUHB3o6t+ESRg0cWxPJ7URGT0YG81hBIBTEZH7K16eCr9rPyPAVB2PTBiyqqsEZRuG5WArVXMSa32ejt3WCGSvTW52Jvt6dpNddVJPYfu4/wyy8BEEeGTOhdJ6Wa1BoGXBaE3KiCRw7tZAnN3F7vkmTcRwrOCpomRTE6tHO0nUw4PmfnTtcjIhFTvrxlqzv3dBqk0nlFl4ZUbH3LlD4r7+xpNJh4Kugo0KRSQSqikpp0/+oNbBWmE8c8syNwfBVQlcx5Wxs29u21SVGAuIkXvldGMRL4eF4aqlKd2uladJiaU3z+S1+y13A4YmHBrqHRJCER1KSHRBtFUJuT2Y9984K8KD1dr0gNSux7WhVXgOsqU87oppa4sqqKKv4d7vtMmc1Uy0tbvXmLCkq32ZIKMUVKGLbJMotceePeR1h+ygrXEpX0xNaOiRDkCR3wmlRsDgPjO4wNTE4oqJiTgrA4KAounLXrNykhlW4+G4MR8yJuGjRilCAhrghS9K5Og2QiFVFTMpDyzVAXHnHl6IyHg4kXbh5rTeTohnFELF1RUqlyzVdjXt7tAra7bEu60USm4HrfIigOhKpyvFrxtyvW6raOQY5u88ZFe43ZTipILrCIS1dhTmeqQiJsH9X877U31UGoS9vQAKEgeoDEzOf6oTwqwv7za9BfGByfzJSFF27tLKwyGA54K8esPcWVKvfedy9Xr1xmbs5ST4Jv/SYmP/kZ+zg2HEh18azQFE4HbV4RCn1XFR4BeGM4oi3zcVJQDr2y5MI5qVjnhkR8xK3hmFVBmwaNCkbQqVe3LWLvwmKTyUiquqYkdZ05UShZc5nMb7ef0pbHr24ecHbVCrafO3mCi1esGHh/39rKcr3JmtDYsskII8jEetBjZd5WRg+Vne+7Gzm9vv2dN+ly+risCwKy1Pq3H/57/8b+zoMhRvab+x96F8nE+qNHH3kbH/7IdwNw3wO2q/DLz/W4ct0iM5QGJUihSm2RxWWLQtpaf5Uit77SIVAm44yJ0LGrtYalBoDQjhwsVlClOphWtymnf1eBRbcWs7b5nz++1jepQBHopkdvP7+yxD0DK/IcaNgVJPBdYut3m5DnBa18GAaesrsxTDy945QgOvvGcK/QjtJSMTy092m9N6ITie02q5RiSxc3uwDct9AkFXRYkRek4h/HKELpCuVs6aCfEMk+l8Yp45H9+1iXNFrW/guxmYVaxJtdu5GFoaYl8Utk4PqB+CahOx2Pp74pYNr5LM0Kjwp96SX7HpMpjAcERzMU65KKxAdDWRuowP/ZxoMOCV9OQVzyrbP/gilyVenId5XVocY4P65n4yL7vjIbe3Cg0qGPE96qcbs92Qq8MXhE9sW7T9HatvFnGBoOBMAoLCzOmoAXJTbpae27GN7oj2mI/z3TluY5Rcn90iktKWEs7IPNwRh3t95x1zF23GdIh+L7l9ocHth1WFHKsw/2lUa5PUf2gHKUkcn3FlVFIHvhfm+MEmTgjZs29q6EmpuCflpZWmBzwz5/frHJ2sD6yq508Cuzda5eszTvMFLcfc7+jusb+xQSD//pP/4PAPjzf/a/50bV+qvnnn0Rxx4P4xqpMFNOnrCNLS5dusg732FlSh552zt47WUbo27c2uDhB+8F4OBgn0OJMU+csAjcteuXWVmxKKWvf+fb+eqTXwVgbq7F2972NgCe/MrnccOh5l0TGDtKUMp2rH4Lxq+xpcCtD/v5X5xf5f49e64JQ+iK1MsJ+fpHwgovS9w0DgPf6fRmL6EiMFXXfKVblFy42yLWcqOZSPfEje6ItrAMwkaFWM47l3asrV1YaJIKgkZh/D6Xawgcg0Dipsk4xcj+uhtObNdTYEJJRYTFB4I0W2rGXBP/qJWiXbE2r8tp3DQROzhdD/xWEQXa/84sK/31PvWK2F1S85QvypAyd01zAgrZl3f3dt38o4QT8KnPfJZzZ88BcO36VbxXmqFQT5uVGY9cVSqhEH9dq1UYyvpwzVVyg0dKKaYxWFmmbykB9nZbcvRuhfOrrz38dhY+a88mC9WSLVmDZ+T9d+uYF11MbBS5zNW1gwkNgXKdatp7dJAVnD9rbSlDeVu61Rux0rD7XNiqkMu9uShN6S4sNpg4VlRpfJfUnsbvqy62nYwztFDt0yjwaMR+YagLM2cktjRXjbkhfkcHykstNSPFRYnXEi2SMvUpGqtZCxkJgjGOQxba9nN/5jP23FJ056YsmBz8zdMlhXte9qCyNO4hKq4Jxd7mEpTv0DlrQzLKEiXnSKXD6XnN4CWRnK0NB5MpE0cbf2bEaM/M+M3G/2VdF5XNZPwd4L/8rV5rjPlh4Ift++5kK5mj8X+HcZs96ejIno7Gf/a4zZaC6pEtHY3/U2PWnhqtuSN7Ohr/2WPWlnRYObKlo/F/aty+1x3FTUfjP38cxeBH460at/ulo33uaPzacScTXevA6Zl/n5Ln3GgBDwOfkyr7MeDnlFIf/80F6UUs0eQY0V2Ii5JMymyvHmS8XUQFC0Hd7KcTCqnS90rLSQVYOxzy0FIHgDQWDvIYCuFHr7QbfPGSbQf80MI8F45ZFMrDp5cRTVQWRC9JxxUORNiwO0ytDgfQiAIK0VVwoqpDrT1yo2I0N/dtNer4SkAhwpN7I5uN3Svxgsf90YimCKFmWUFdONhjJ5KY5x65EgR4sepxWqC0nZPe0GZso7BC6Yi5JseIKLHScCjCe03RTkmShFpdWuQOp7xbZYzlyAJQYqR3tK/6qAjXYjsvppoRZTG9ztLVUg0egVHmE7TozCgK7qxGl61mF2iUEaHHfk5FNAEujgrevuDE962N3UrHaLknk9IQCed/tz9hadHayFD2bjUqcb0R2s0ab1yyaLkHOm3OitD3Q6c7jAo7/+7+6rhKT8TqtweJ14KJQ8VEkINtqQCkWjORawsNHAjSB52yJzo4kaB0rnWHjISjnmtDS8QtkzThWMfOeS8UQW8UhRP9Bl9ZpoS8tHb/zsetsOnP/vTPUI1F/FIFRFVrb2lvaNueg7+/Oq5R5sJ9r9SIfCV8QCwZ/jwIyaQ6PyNXgrcFHU4FcopkisKR/5f5hNuVVJ34fQxmBHdEv8SIvoomDG11J9lZZyLVicvdkkeX7DrK5bmbSUomayhNSqpy/bd6I+6XdsUjqe6EmaEv6KZOp86l69Y3PTDf5syKtaUHTi0wkZ/WcK3a45jBwNnShNBNIbZ6BFAvHGogZCy+SxeGTXlfFEbo2lRgGuDmYMJAtIqSQtMWVFmS5JwUpEc3kiYJTEXcbadp+32FMZRO80o0OUwBFE4HYMrt12FrRkvL2ZRF0cmTHo1WFjlGKvgqDKfC816Aa1otEgEdeVzOVIhc5VJPXZDSvp3x4eEuUzTGWz/yLGNne5P773+Aj377twPwixufIRU9vzfHJQ8uWnvKpHJ2PRlQuAYBRUkstrU5GNFZtvbUF1SkzjUCaKYzX+f5G7bae3+nxQlpjvHAiTZ9qaa3ZV80ccxQKs/b/QmhfEcUGVLRppiTSncaKYZiY8HEcHnNhgCN5SUQTb8DY/e/K91DurmtVNajkD/8+/9L+xl5zsVL1wB4fce+/72PP8Lw0PrSS9e3mJ+3CNJLG9coIovu6g+tyHOnNU9nzj4332nxxU9bpNd//9d/jL/zd/93AM6csqiL8Xjg77UpM8rCXk8xDjncm6LNgtjadzYWHRQV0hYNn97+ri9f6kqd0mkUis/RQUQp9yjQVYrUqeMqKO+MPZmiIB/uE1TmfFU3HGcksp7ePBxz35y9HxOJQa7M6FWNJxlVeXzzcMgDKx0AhuJjzChBtKHptOq8dsnqXT4w3+TMstjSySYD+akNqVeqSpVBz9rSbj9Fiy3VIsgnzpakUQYwlrnSScyuIKdqcciBiMVrhz48GNETvxCmmqYgdLI855QIgndDpyOpcOVTpacooLyEVmdF5k9Q7HllunWYEi+sG2ivE9nr2/tt41qn8wfKK4UoH/8ohX9fGDjtvIwis2t8YWWevsQBg3Ex1bbxCNPMo9+DuObFfU2Zfw3q6w4MFaJMiRIfWGaGoSAyX58YHpgXexIdo2t5QSHXPZzkVNTUNz2w2gFgJDGGSg0j+antdp2LV+1ed2+7wd0n7F73/odWWT+03+d0bsooYih71u7O0HvnemxsYydgXvaIJNRkYv8Fir7oQpokY+C0cuX9mwdDEgttYPnE3fyx3/u7AfiLf/UvUxGkc180KiuhpiNrKQwi5FjAJMk5fY/VD4wrdk2sXb/MwZagKpXCSAyqNf5ez0szkIX5Fi88/7z9PY0mo5H9nTdvbPHww4/YeX/tdY+WdqyTBx68nyXR+9ra2qY/sNd5/vwFfvVXvwjA6dN3AfDGm6/5fdGYzKNz8HZ6B2JxkegyRYkRJJQ+6HpbeqObc4/osrn1/2aeUwhqZn+Q+YPsRm/IfeKberKuyEqGsi7mmjVev2x9030LLc5K3HTfyXn6gmh1jRFMGDEQQfu9/sh/R6wUuSCpW04/NVBMZN5DY9gXfbRKmqPGgmoSdND1gzEDpyuqFI3YMWAKzsi+e6AF5WoMTdHAPBw4fwVZYSilkZfTzFL5lAlTAkr8iVLGnyuV6EyarOcROY1mm6rY8Aff9z5++XOfta81uSCk8DGRRIlyFZqJnMGNybzUrnttoAx56c4P4YzweHw7oP4tHEoZlC7t2hFTjZIBQ/GnbyQlD7Ttb3VNUK4WBZnY3TDLCYzb50Y8fKwDwMDpV5YlI0Eatxp1Ll2zfumeTpNjgrq//0SHgcRMdefTg4iBoFIPhok/C1e1ohC/1Jb7kWrNWPTXwkIxkPNeSclAWFqB2Mxab8TY7R+lpiMaplmacXrO3usDLXFLbogkbk7yfLqUtWK3Z/8xGvfkqTaBrK8yNJ4ZoFXuCVCuKYHWmlLOlGUyRMet2RsCWD0uo28/c4XVmn8fxngNS6XxtuklmfPcn791WLEsHWZe91uMO5noegq4oJS6C5vg+r3A73N/NMYcAkvu30qpzwF//rfuuoidiRlY5Kd+6PP8ro9YasOkKDiUSUhkkZlQ05AA8uZg5JMCjShkIs4tlptWCwqqFXtg7+6PWB/bzeQvf9ujLIoRPX9jl8V565CW5Wy/cqLGL11aA6yg80AMoyxKfyCvS/A7yQvcOe1wVGG7K4KQS3O8vmETUSdaImBpDFREQK5aY0kOum/e3GJj3zq4Y6ebMqm5d26hUXzLh38XAF/80ufIMjlAX7Obar3RRilZ8KMRTenKcnAw9JvNfKcDwP7ePnXpwBDHDXZ27OIuyxTjHICOvLCcyZ1MduYh+IYqStmNV0cRRXoo1+ygjYG/HlNmmFwOEGF9RsT1TgwrgqlM6Q8fn/6bn+Z3fbuFffeTlH1JuAxd545aTEdeuzYck8kG14wiJs6xS+KqEZa0RYx1sD/ghtjT//AtD3NMNrCvXtvleMduuKdkQ18+2eaTn7X21AwDuuL44twwlqRuW6LzYVaiBQqbFYr9ng20M12wK4fiBYFxK10yJ00auuOUmhwADvoFOz37O+eXRSBQ+8YcmLxEyyZaCzVVAS/94H/7hwG4dOkyrzxvBaNXT5whEgqhnQ7nrey1lJmawuJN5BNacVQlTa1Nh3ENHToa2jTxYOS3q5kuVvYWhv6a7d+Z2pDJQJKwKmxg8kCSXW/tUEoRBpoC7aG1z/6rF/i2b7T0sFGe05XDm2k6joKmJb+vO0i932iGERMnPCzrsRnCnKzD4cGQi10bZPzVjzzKklBMv3J9k1PzNqFxtmGfWzrR4pOfs+t+LgrZEfrLsThmRw7qS8J5GWfGC1SXKvDBdmZSLq9Z33Rq1fobQ85Cw97nfpJ5ofDd3pBbh/Y+Li7LmlYGLd3MNPh1X49jQqEjRYl0bVWjKdUUA6W15zIPUIF0gnEJL+M/EYPy0H4ofYxmmxzIuvSf6+DtQiXyTwcz3+3eX0wDPWP8/UBHM/TGt36kacqNmzfY2d3mpZeeBWC/2+O977RU6HGWMRT6RiJrRRvjKYr744ye7G+tOPIH+LEkoRphSathfdOkN/K0ib/80cc407T34stXdzg+b33TmZbY0/E2n/ystad2HPrmBwtKU8h8RHLE7Kel7xS0O8ggsgmpD33sL7H+838XgO/+r2wXxI/tPEuwfI/8+rnb5uLbvmZufuIn/hY//glLt4nDCPcl3/b+7+TBt38AgM/8wv8AwOrJuxgc2ADu9MkzfOTjfxKAkphSChqXL10BbHJ/2j1PeVmB8SQhFx/SWTrOcGDnygX3eV5h7BooMJMsNfm0MOSfwycHCKoEdRcMpqA0ZfKfFrz9/zSUssL6anpYfeHHX+bk+20iZzhJmGRCR5e9JgoimrK37U8yRi6RVav4fcEF5PVIMde0fiHp9bkpwrF/9aOP0hF7+8rVHVYkbrpn3vqFuaUWn/oVa0vNKGBfPq9RKl8Eq0kSI00MkXxvrgIORBz/MEp8U6GG+LycglbN2WBOzYlHD8dsdK1vWl5xHTUVytEDS3tQsr8pJhYqkMkDmcYSY1w8omYOdSWZJHQast9bKs8M/fm2w+LsrZGDbuGoRpFP0Nx/7wWeee5Fe21aU+SOsiHFCD1txIJRXuhXR7U7XR/EdtUylNLd9pf/zmf4yLttHD4qUuT8xo40z4h0TEvio71JQl/2t1YlJpPXjGTzacbQbtl5zAcDrklHs7/y7Y8wJ4mIzz13jRXp4nlXR0TnF5r88ucs9bgVR+wmrpATEOBiffv/YVbSlr2jq0N2Dq2PmJQ5oTSTMohgfl0RSxLq9Ssv8Tf+pqVo7g1H7ArVbWXFHgbKLKF0yYsi5XBsaY5hqDCJTZi+7z3vAWB5bp7RYCYWcTZSXySSjq8vSnIrDEPmF6xfvHr1Eufvtsmpre0tdqRY3mjPk0kBu9myr83SCfeckeYPTz5LKb/jyuXLPPig7Ux3VWjkzWaLoSTCIJpSrHUgnvEOZCgM9qBrK5IAPP+TL3L6AzYGHyQZWdX5Jkni6ZiW+IqDUeKLLfU4JBdbSuQQXA+hKWuyGKXclMTxX/roo8zLeemr13ZZFFt6UGKWaqfBJ37Z+qZaGHAowImaDghlv3Ei5eRT3zTKYF1sQocKI+e3hgiQq6BgTpJUwzSnKiCDjV7KusRNy3IN7Vbsk/eduRrdgV1r1Ui53liQS5MvBWSua1457eYbGB+nKLFn241UzpWTQ65ds9ebJiMi8ddFqXzh2CVgrXSIrOe4SkMAEJVKyPaOTSA6ipkKY1/kNqRo7T5D/5oOtW/VMEbCtxna9i/8rV/kY++S5jl5hmOe78h1DoOApszFZi8lS+w1tysRifgo19itHhiarhvhOOW6UFD/8nc8yhk5Yz19dZd5saX7lu1ztU6T//gpq+RUCUMO5HNrRhGK/5ZtjiQ3hBJ3TErYFip2GGn2JTnXEWmJUENHZJAGSeH3yp3ekFs9a0srYkuR1j5gUUbRaErOo1ohlfyIzuw60UHA3ecsHfrN117w21hpclTkhOCdTU2bC6ioCsY13Sk921ApvLyMC8yNmnk8U/wxhbHNDZgJxZWaaUqm/DmgTPro2D7+zXov3rGSj7En0h8EPgW8BvykMeYVpdRfV0p9/E5979E4GkfjaByNo3E0jsbROBpH42gcjaNxNI7G0fi/57ijGl3GmF8AfuFrnvsrv8FrP/Cf8plRHLN68gxrN9cIKh15b8Iwt5nsVrVKrW2zqKfnLUrpxSt7hEIlW4oqdAVZUJSGfaFVdNo2S1lpNsklW/+pFy/zobss5LeuNc+u22rMWnfixSrXpLR5Eo2TYk9MRiKpyLbSnrrmansDk7EkQtthWvLQSVvl3k8Ljkn2fyzZz1azyoYI2lXrirpATBdbVS6u2ec7LQuHLop133L34Xvv5eXnbXvVLE1584qt+Lgqz6DXp8i7Mn9VDib271bE1FZHNzelat9usC9V0DRJPazeoiakDWg2IRe6pYrtd6ggIBCBapT2KMM0maBDyYo72K0OffUcYyuVYFuU4isBd2ZYYUBNIJW+oozo9V0lL6Yu1eezi9aeXrqyT1Xu03JcYU/QO1EJ+yLYfnZeYJ3tBgOp9P7yy9f5wF2WQlNViifXxJ4OE8rAVgZ2JcN9PFCkMmFjU/gqBEHERCoAQ5mvwzJnUdAGepJyRq7zxZ095gVZlUj1q9OKuSLCrTqYiuW2ahE3tq0F51v280+cqHuKrSoK37o9CCM2d+33feRj3wVANs5xefO97TVfnSaoEFQsoslkonKvNJF8VjLu0+xIe/nJyGf483REKfPmGxYEFS9+aWagroS1GYSPw9UGKKEHTBGGcomBhvytr0waY6HaSmUwQ01ylet2vUJHIKCnFm3l5OXLBwRCH52PYg6U/c1VHbAjQqj3iz8LazV6IlD72Rev800iihkFhqduWVu61U8JK/Y+bgi69+4woJQ1NCoLtMy9iQOMVJBdW/henrLokJeTlGWhY62Phty9aJE9Q0HVzbUiLm/ZexpXQl81nKtFXNy0z6diS6dXGxSCLqLICF2NJQxZ2xcqrawp+kwrcnqKsDKlIRBqa2PO2tRkPCQSqHSWTWwDDLB0R7GJSjW2tgVTCI4yqGmZalqpNoWndjkEjrE8RxlTupJFCt4hDL4fivFowlj2qVqthpLGFXUMjQXrm1ZFTPSVawcEVVnr9ZgDeV+lDNgWMdT7BK0Vt+qMRZj1l168xnul0YEpSp6S+3fjMMWEdu42pPJ8lwpIZU0q8HTRVCu/dw4ExTzSBW0te+s4oTvakt8V8th33t5/Jlh+HAYWWUVziuja23ydxWP33/bayzfW2O/a/eZdjz3G93zP7wGgvXgfW0M7P//r//oPAfh//Y2/Q6djxZjDqMrnPmeRYHmWeZTpIw8+BMClK9emUgGH+9Sa1uaVVsxJ85CDXpdMhOcdTSgIM7KRNCYIIigdVSTw1Foj4VYQxpRS6S6zoafpy5u5M8PucWU6RgXSVUcrdoQftlQNieX3rXasfbx5s48RFMJcLaQvle6KqrA9tL/v3hV7b6vtDrmsp0++eJ33iy3p0vDUjr1PN/opxDa2WOvZdXNXqcgEQaC0JhBk1UQrSoFZDmXvGpiSOanqmsmE00vWh762d0hV/Jvb5xq1kHVprhJEmlLuU6sSMUpt3LS5a2OPc6tNCielkOf4XVEF3Nx21AoRys1r+PWvDFquMcsL2i1rK72BtQPrPmZgxzNoUo9nMMZToV1DDEPpKRlPffXpKTtD1T2LwffoMWYGdTODbDa5f+2dGcruv0r56y+yhETQizVVEgoC9LjET69e72HcXteIOdSueRNsCS3r/uPiK9pNUkHvfOr5a7xP9rrAGJ6WuPfGYQqhvYc3DuReZoZErifHeIbDGDDyfFMmPzElVZmjappzfN7udW/uH5JJY45MYsKlhToDQYcVSUkmKLb3PHIPP/6F1wHY79nrnYth4Oja5B4hk5SaMrCxzvyiXWMb12/eRptvLZ0DYKEzx83rVwH4+ve8F4DBYMi73mX7eT3xxJPcuGl96eLSCS5cuA+A7/nd389f+0v/HQAPvOfd9rePhzzzkm3W9ehDD/O5L3wBgCtXLrO4ZK8nELtZWjpmWSjAAw88yDPPPiHXJqjmO7bdKQgUytlyWbA5lDi0FhKILZ2SZl0vXT2gENTccrNKV+a7SpX1Q+tjHjhp44K43cCt2U89f5lvOmd9kypLnt22+9zN3gQkLnq+a/3GqXFB5heaInR0fKVFUsXG8QCjMvMo5jjLOLdqfcHFvUPaHi0vcjbVkA1B6QRh6P1Cpx5zUa5ne0/srlnFyPvyNKUaOMpySM8t+9iuo7wferkGUGhB3mAM2rFtHFq/nNIc87x0P53rN657MXalpmjRWOY6TQMfFxWFIhd/G+icSBpbOT8WBgGpnBWVijwzQys1pWDfiWFya6fGNSOCrGHPAi1lMA37W87N2/3jpasHpIKEmq9V2HHnOROwKX7pAaEix+223yt+6fkrvOeckNKKkmfX7T537WBCKX7n2a7989mxIQ8crdQQSA4iCfBoVjkpMzE5WmKtapJxesna0qXdLg1Zp4mcg1qtiDVpOhXG0xi8U4u5JLa0ITH4XcfaAvuzMke5sAFqqzWu7AjrrGZ99cc/9v380T/8BwF4/wc/AqGjsAaEAmPMU5F1yDKPOtQ6nrIndDl1bab8NcwsUxR+I7N7iNiuglKuM6y4DoDBFKFoDKZwTcmCX0PA+PXGHSbxH42jcTSOxtE4GkfjaByNo3E0jsbROBpH42gcjaPx/5/xf1nXxf/cMTfX5qPf9i38h5/5eS+aTpHzxkWrH/Od7zlBu26zgNelohc1a4yGtkLTDjWrof17N8uoi8CyE/AtioLDvn3twycWubBcl9emHF+xWeF2p0HPtdq+aqtLYdZn4ETAS8MpETmsJ5lvV+3QKJEK2RJkRrMes9uVdrfjnLffa/VX0txm4DMdYeXMYJzmViwXGGUZZ47bjPTh/g0A7rnrOIFkVrd2d3n7O2xF54UXnuRXv2JbGM+17efnaclQKo8WHeO41KXP0teEi6wpqTWkde5kgqs6K60xUtkmjFBV+5uNiO+aMphm8XVGIVWFKG6STazwMV48tfDcbmMKr/VijGiL3NFRYtAUpVsOhis3bTb8Q+88QU00294Q9EpZielJe9fVRsQx0RY7yDICQQMkkspuK8hFu+WBEx3uESRPL885tWIrTq12g6FkvtcEeceky0C0lCgMS/K+RpqTuaq/77aquSW6c3Om9OLPmJBAxO37IpA7GOVeYDTJc2LRu0iLkhMr9juc0GEABO7vlF6EUJmMydhWxb7j2z8AwDNPP8/GDVuBjOMmTh8coBhb25uKY0YkEzsn8502vaEgASmIRdA+S0siQWQ5QfwiHdle0/YuoPSU040TyndV8TT12k5QoCJBGSoFYQVT3JnSpDEGpUMPQjTGcGXdImK+9W0LBNrayuUtQX/UYoYjOxdLzZBjItDdTXK//iZyvxooinRqS/cuy/pPM06IblazU6cnN2rzmvVNDdWlK00JVAFNqU6pwYTlpl2TTkQ8MAHbsg47IRgnlK0DQrGlUdfe3EJrJiLEMkxzrw8wynLOyPU4BFWoNKFDjwXaVwW1Lrgq0LNCUJQE0UzpcaoJoYKqrzA6YNbc3AJRLPo7+9kU6mAAp6+jIpR2WgBTTS3nm2b1IpRSviI5HeXtul3usYrQTs+COzPKoqTdniOWuZ0kKbd27L18/HzbNxy5vG3tqYxCBiP7u5eaIauiNdNLc5qC5Ell7htFaVFNwP3H5ji3IA1HTMmKNE2oNKv0nX7F5X0AqnlGX3xTMDYsLdp7XUkyX0WdLkfNhuhKtGt1/tAf/rMAJJeeoXL+Hb/2BzdP/JqnFo/dz/PP/KK9hv0uAMP+mN/98e8FIDQjFlYt4uvM8SY/8Y9tK/EvfMYKLafpIRuCnm01W7z/mz8GwKd/9t8QSWv3i1fsHppmCi3ah/VmjcGhfR86YCx+Kq7PEYh+TinV9rgxT1WqoYPDXd9AochyVCBiKk6wwsyaUO02lE45Y+9v6VBYna64PmPLIdduWru5/52LXjfx6rbs33GFnrRPX23HLMpe0E8KmmJXqTzXKHLysY2b3nFqgbvEJnbTnFVBXtWaVQ5lzW1csvt/NU3pyV4QGViVPTGetSV5T2A0t0QEulGJ6YoWZVooGlX72kPR31Gh9oiwNM29PU6ygtOyl7oyry4gUK7C7uW3iYOCq69b360ElWF06aviGOX3xCiuEotWymIsCP2DA68pCbPAnXKqUQkzxuDqziHe54WBbz5BPvRNgRrSKOjgYH9GG1pPEc1Kc0fsaHYoAxiPztBBwOWrNg5//6NLHp19ZcvahYmmcdNKK/Z7Tz/JaYs9OXQfeU6R2Ne+8/Qid4k/2hqnLC/ZGKHaqnAgSOS1S9Y31fOCnsThoYFjgqyJk9Qj9bzip1Lckv2tGgUcSIyECqjaLZJM9rfd7oi7Llj9wFfeuEgoG9Azr1znWNvey4cfEVTo6y/SEt3JUVF6kGYtMnz+y9cBiISBkkzUjM6job9vUVrtVodI0MuvvWw12koVed2yhx9+iMuXrK5WvdnghRdeAuB3f8938ZHvtH7xO77dKhv+0N/+u5w9ewaAn/7ZT1BKcNY5P8cV0eb68IfeB8B7v/G9/PA/t806nn/xDTD2Gur1CiOHWH3LhwGTCdJ0Ohdr610AHnh8xfvIq1ty3ogq9ERftBLBijByepOCetOdnSTeLAoy2a++4cyqZ1vsTRKWFpwtVdmXOPPWVRuDV/JDhoLiC41hccn6pkqS+dhBOZFuQnYlhqpGxmtpTTJYnLPfdyhabOMkxwGvsiLz7JVJVnBOzo2BNPaJtPZIsr4JfCO1qi557qoIgLtGYoGBQrSbwgitnU5cSUXiylgQMr1eH+cfTFnwzsftXjy3sMqTX33Kfl9/n7E0PEhTp8WsPbo1CAqSxK7t+x94O2++/jIAraZdq7sHfXQgaGUrnGWvd1bD8k4MFTCL4VElvH7R6uR9+OElAokFr+8Kyr8S05/Ytb/QDDklc9Qd5yDxukf2ZSX5xM77O0+veFs6zDJWVuzvrs1VvV/avGxjhsqky0BQ0Lo0LC+LLaWp7RwHXhtXqYADmeOGMjP7nKYhGs57Ttcv0N4WJ5PMo2snec45yVe47SrUisBrYgXI1k0cG9581X7eNzxufUa1WuX7vu8H7PXogOleMl1L7rvQgY+v0crqJ2PPPk6jTelg6uecDmEQ49a7McUUNW0MQcVp8U4/y9udNhYGjNWBK4vfOvr+bZfoUkoTVupE1QY16cw1GnS5Loe64x8NOC1JmbHLHujQd1EZAVombCWusOcE1Zx4vApJJPh/8EyL4yc6AJw8d4rPP3fNviauMCmtQzmxIEK89YBbwspo1SIvCrqTpCyJ8GAggdexuSoVWYhv9Mesi7NIQnhOxOhP1+3n3xhMOBBLVeM+iUD2huOCqHFMrtl+8ZXLV8hFlHicJrzyihUHH45CktTOyXbfvjZLCoxL7JhZQVNYWj0FwFzbGtvm+nWGEjwUeY5ywYjJUJKYMNnYUwyDqp2zYrjnxegLIGzYANB2BBJYbekyIiXGYfSL8rZzpRZI7J2RfRZhdFPiQyCjuHrNzvO5j1Q41pSgZOxgltoz3/pp6Q/Gi0HEltx311EoUwFj6Zrx4Kk2J052ADh71yk++4xNDOVRlVSC+pNLdoOcqyo2d6xNN2uhFyfcGad0otuX7UKzRlMC582sZEcElvOKYUuc8rwT8xyn7ErSNwoCetKib5IUrO/aTe30GUl4qYBCHFxOSSDX2B9p7jprhVB/+VO/DMBoPCIQCs5oNJ4J2hXaJaRkrZV5Sl0oQcPRmDAUodC8mNJ8VOipi+7QSFgB6cpGGFPKmqUoLR3Rvth+axgDToBfUzpKW1laOhFv/dBKUa9UUAr6LnmnAna37WZ5Yl5z15K9psvrqb909zMGE4PWdh0uBCG7TuBRHHmmApTQIB861eb06Q4Ad58/w6e/ailfWVQhU9Zej8+LEG8toC7JoLlKQEVUTHtlzlg+L5D5W6xViSVwGmjNgSSL0tKwN7TX3JRk463h2NNyK1HEvviIUVJyfc8Gi3edsgnGwCgSSabnFJDLwVJHFE7oNHf3c/buKB9sUCq/2Q0lmdNuBRSlg+BPiAWun6TG0zHSyXBqQ/7gOUtBxNuodQFOgHXmKiTQNmU5c1Iqpp1r79hQ9Ho95juWqqnRTCbWj969ktOQBFiRyP8LQymCs+O09AftpajqhXzdNefUGAvV+r5Tc5w+Ye/V+QtnePJVK+g8CCu4vPlJoUm2qwE7klirR5pIfFM3zWg5WQCZw4VWjVMy91uFIXz0I8BvFnj8+kWNH/qnVrD+uDTKePW5l5hftcLXx1bmiUWaYGvc4uMf/R4A/snf/zEA/vB/84O84x1vA+AP/aH/mtOn7aEvbsxTkxaknQU7p5M0YyidjUb9EVrWRaAgExpGOhl76qGjhCTjw5kDa+DjeB1ElF6oVQRUTT4V5lUGr9aPJo5rpNmdoC8qn6zxBxwMO7esrZxYrrJQFVHkTUkUlMrfx+HEILeWxTBiz61VOdwVcZWBUGPPrtY5e9r697N3n+XLr9imKls6wvXXOC0FxPl6SFdoZ/VIE8rnHk5ymvKFmUzmcqfOaYkRbiQFW+LT89CwI9fRluTAWn/km8hUwohc7s04K7i+Z/fV8843KUUqgXNeGhB/MjQNCtlLTTqNlaZTOqU/Z3nOYCgUNdeUwEz9BjNdwCxlaDbJLvbhKB8q8DGF9UvGv28iovtZNqUoufuqAOOS9F6V+U6OKX0Z7NTcWBPphm+JaUrRdXNLDnhockehT0tf+FiOYnbF5yuJvYtKhaH4ptPLdc7IXnfm7CmeftN2W93WJWN53xkRgp9vROwJLawRaSLjhOcLb09ue5lv1liS+/nSwZiH3vVOAJ584WlGLoHt5BhGKU889woA1ThiIqWN/iTl4q7d63nteQCaQej/XmpDJh3YTG3JN9g5lFgrKCZo2afiatN3xzt16gTb2/Z3FlI4HmcpL79kk16Hhz1u3tzwd2IiyeI/9+f+Atde/3lmx7/4l0uU4qM/+KFv4YkvW+r2xz72cf79T/4kAOvr9rNCbbs7AqyvdX1ntfE4AxPebv9v2bC0aic/4Z7b3LCH75PfGrMkgIQdoViZ0pCJLY0TUPLepShm18ltSMG+IGIkcfDqYsxpicHPnz/L89KBcauXkMp9OLcqhb5IsSu0sFoYEDl5hySnKcVg1y+3066yKCthbZyxObE+rdGu+OY/DTk3bY8TL0ER6sAX2sZZwY0D65tOSjJ+b7+kMSfFyDJnqWXjgPVuyWTStV8uAvTk0/xRs9X2HSOVrnLhgi0EvfTiC3ZO8tR3UTcm5vlXrY/+A7/vnTz22GMAXLl6nX/7b/+53A4Xwxd+vTdqFRYWbMH7jTfewIh8inttmgxvKwpOkxp3kgKLuMucaXynuXbNzsWx90csih/Y2paiidYkIqA+nBgiiXlX4ohdl5sRmyp1RCJ7zbHFmLOnOgDcd+9ZLt20yfatJGcsfuPMkuQHKpqtHaEjzvilfprTdDGcTEqnWWNZzk8bScGuJOPLCDYlxp6T92wOEg5knwuDwANExlnJ9X1ru/ccF/mFEsbGflZqcorMft/WYUEqNMRXX7Y5g1deep1W09pgubmJEnCQCmalROTsEDdAYk5TZDPdfo23bYXxZ0JHOzTgP0sHkc8fKMU0Wea7Nk6b6NgjtvKvDQKXQP2NxxF18WgcjaNxNI7G0TgaR+NoHI2jcTSOxtE4GkfjaPyOGL/tEF21apWHH7iX5559hnrdoiM+94Vf9VWRv/yPX+cbv9UinR6o2b8fW27RHdgKSk9BRTKOzWFJKBnOgbT0PjYfcVIyhP3DCSfP2OfXLm9QCprkK1f22JQ2sO++21aCL211GQryYjIqOSYZ/0o14EDgr033G2JN17VTLgovVj0iJ5DK/CnBTu8OEmrzNmu+ub9HLhX6TBl2Nq8BcGbVVkfDmiYdSbU+N4wKJ8asSXpOFDCWv0uFBgA9rQoGMcOhzX6fv3BB3hNy9bqtLmk9ZlqaLD3eUgWVmUyvVDQDPW2tHkTkiQjeB9OK9xTPr5iFLXuqUVlSpmPu3CgxxcjSonyZIcfVav7KD7/G+z9q7emUzNHq0jyHQumY5BBL1b+S5lTk/jih+NVOk1URZu73U04EHQBuXFpHCXrp6SsHbIgA5jfea+/19c2ev395aVBiT/VaxKFUp9pytdVIcyAVyGEecDC2jw/LhESePyVQ2csHQy/YezDKqEqlLNdQFdRPVeCt1UroRfDTMsOBV1otuHTRIogKEV0ushTt8uZlQSQIsmwytC1nwVcV5+bnvch9Z67DgbToLYqMmtB/SHMv+pj5Sl/paaylyT2CQoV6WiFyrY2D2hRhEcRemFyF1dvRe2/hmJ/v8LHv/jhbO/u8KJWzW1ubvvLxP//bbb7+A/Y33SNLb3Wpw65UY7MSQpn7aJSj5ZoHiX3xiYWAJbkjo1HKicj+hhsX1wnElr5yZZ+NQ2tL77lgbenGziF9QV6VClZr1o47tQrdobXjqlQrG1FAV6qNlVqTnX279nZHI0ZC43hUbGmnP2EoYuabvYmHVatY05D778RaVYgXoDcE5PJ9kckoB/ZxpdEBIBlPUIKMNART+o+ueH9Rq9l52tvZQYuPqbcWmGsLnbM3YjJ2DTZKED+vpXlGWZQYjzosplQENRXFvM1HOVvT6vaWx3cSgi/foVXAwaFFDWgN5Yalv/zQvw149D3WCxyTJTLfaXEgiM00NcRSRa6PMgJZG/3U/u7j87AqCMLRIGVFW4TLxtUtT7d+5s0t1sQ3vfu8taf13QEjh9TNA6qyH8zVK/Sl4hiIz2tUCvbF30z0r4/W+k8Zf+KP/z8B+At/0orON5oR27dsFfpH/+ln/es29t6g2Thpr6djf88vfeZT/PA/+scADPsDLr1haT6qTIka9jU3r1+yH6AjEIRpe36JMrfzOx6PiEK7VirVGtWaVNz3LLUxViWpoH+8IDhgdDStJjp7U4FHJqICv/eWRU5WFHeo9brBlIXdV2d8pRMk/p//xVUeebdFC5yv2O9fWZpnNJF4o9BEYvi1JPEUmpFQsE4swJKsm2E/5bjEWFfeWGcowt7PXN5l7dDGFu+7z+6pN7f6DIV2b3SIMHZoNWIG0owjds1IyoKu2FIvKemJOH43n+5zSyIw3M8yUtlvDgYjqiKCnpiSqiBSI0HKF4FBu/WvFYk0zQgZYTK5l8phN+xf3HCNK5YWFhl5KQj3NzvvMtlT2rQB5dFQasbRuP1zihrN8txTkEpT+n2sXhX09KSYYSiar0Gc3WHfBNJAyCHOjL/u/+lfXeUbPmiFzo8LAmJ5seORuGmuCQX5UZ1MPOWyK8i5Y/OKJUFW9Ac5J0MrubF29Rbdrp3nZ68ecPPAPn73eftd12/1PRpLoXDhRKsee2mRSGLWWqWgLxIGjYUlfuBP/DUAfqB+nB/5e3/SfsfnPgfY5lDOArr9ETVBRU8wVAVhHxknCVFQkz02qFXoHlibN8k+D59/DwBP7T0DQFg7zmTvpp2TUY8TQuc+OBzQbLZkruzveeDCXayvWwTSaJwSioL43NwcQhrh9KmT/JW/+RMA/O//298H4MTx46QN+1kf/ehHuPucRcL+8D/6P3jkUft962vXAChyw61b9jswpUfn2CYtxZ1B4ihQIspuHLpb4W3ib/2rS7ztvVb0+x6hgS/NzzGU16a5YiwXVkszj94fpPa1xxY1i+KbBoOMu4TmvH5tk53tLgDPXD1ks2/v0zdK3HRzb0DiYk+jiGT9tuqR900OlVgtCwby0mFmOJzYa4+jlERof3PSMKZ/mDERPzZMEypCcx2XJbGceyrye0oMh3J2ay9EPPp2az/Zs09SDh1CysGOwPmmfv/Q96hQCl54/jl5LPGxNiCsmrJUDIWB8JUnvsiNm/as15pb4lu/+TsB+MVPfwKAey9cYG/XSpFElSrdnn3fysqql0QxxjVf2feosTAwpBI/1uoNEkEpvfV4eAVKo9D+PGdM7psc/E//8k3e/S1nATgtKKaVhTmGI/vatFQEQsmrj3KPPuqO7X1ZnW+zIHM4HGSclX1ld32bzW07F0/fGLAmPuobz68AcH2jR+agpApq8nDWLzlSSi3WDMWX9LKCvuQKBnlKJnazLIi/7rjvbWmQJcRyhktMQVUQtV7sRRtP345UQCZzEmUZJpN8w4aVcCCscXAg/O2yxEjuw2SFPU8xbRinTTrddhR+A1RqiqMqi2mTJ0dpD3TgadSlKdA+PtKeYeYQ0UoVt1H8HatMlQWh0GNnd+ivHb/tEl2bW1v87b/7vzIcjekLNPPY8ZPs7duAM01SnnrSPr7w7Zai0OtNOLbYAaAwBUp0HsaTAQ0JIhKnZTQaMS+d0bplyU7fOplGp01nZBNK963ATYG/rwjHe5yMKWRTqNUiapJAONif0JAkhQvYluMKW9IJrpcVjqLL6XqDZ25Y+OOKdBmZb8fsdC3d8PJal7vP2MC8GUeMZBPvSTA6F1WoNqxxZv3CS4KMsogSG2wWQlXTBipV0QBKCoyjiRGQyca6K0H89Ru3PA0onyQEkevgYWacm/IO1+l96bgyE2yVvjuXfYPzwlPj1shuHWpM6a4nmVIl78hQ9nBTJijR2jJGg8BwDQVf+pzld/+h77XdLUeThBXpbBiAJeIDk2RIS37PROCxh/0xD0si8io5ewLHr7YatCWZeWG19ImuVen8MxgOfQAbVALqEljt741oVuw8Oo71QhxxUWy6X2Tens7UWnzlpr32zZp1VIvtiu/oubY75FRT9HVM4HWPSidzpJQNroFqJUaaJNGbBHQW7aHo+iXrGGuNeSR3RRjXKF3Hu4ajy0BQuiRs7r9rZ2+fxpwNUsvhAf2+TU5EQejtUM3ocvlNvUi8wzSF8ck0I1RYRUGZS4I0n3ZzVOg7RIGF8STl5devcvPGZa9bEgQhpUu+qYDnnrJ+456P2g1wMExY6lhbirSiFJh7MhnSlIOP60bYGw65T3zTcALrBxIALc3Trtq5unelZE0gy6sduxleG439pteox1RkMzw4GFGTICuUeV2IYrYkybHfn6BlLZ9tt/jcFRsAr9Xcpl8j37c++Ppen4UFa8/1MmA3sHM/ks20QUAYucOdIZXDZF6roUJ7zxOnkVKCEV9gzJRKZLIEIxvfRPRCbAdJ8eeDfY6v2sLD9tY2gWyAzfYcB/s2OHN8flNOcf7/X/b+M9y27CoPhN85V9p575PPDefmVFVSqRRKVRISApRAFsgkC4wDwU3bbdxg2t9nt+FpY2y3DZ/dbRzagAkGLINBIBkklaRCoRRKlfNNVTece3I+O+8V5+wfY8y51hUSYPue72nRe/6oe2qHtdeaa6wxxxzjfd8hHGHw0IAIbGLS5vOlLCTkC5RHisZxcEMAcKG1gssBcJplGPC6Jx2Bp79E9vL+bz0BAAh7CWanaI1wAYCDy3gwQo3FYhKmqPUGEe6ao+dmeZTaDo31qTJq7FxOT5awwlqXRziJsDgYwTPJ8JKPEvum9v4QtRJ3FuQraDku9ng+twZGM++/bux1r+NNrya9yTInryplAT+gv68uP4nHv0Qbx88//jT+6vf9JADgrvNE1xgNRwhD89spAk4QHzt+HrvbZBeHjywAAFbX1wHuBNzZ68PjdS9JtU2ip1loNT+tdhOEXbOEcCzd3i+V4HEidsTn4LoSccQaG1rla53KqNvQQVDONGgjmaW2iFTsgqR1gpeeIdmEE++mRGEcpZhhH+IA8DiBkCQZ6nxPY36mu/0Qp9k3dYTGGmvU+PUyGrwEXJirYoltab5Jdrc6GCFgelQpCFAKzDo3QC0wc0ujDAfrvMiEKqdSHi1X8aVdWudqHM9NVcpQnGC71RvhJHdErMJDx2Vqr0nGSh+SO0l52oVmnzd0qhA+XYcO+SK0BITZ/Go0my06nygi7Rnk8Q/NmqEo5sktoheyPxH5RtX0YryN0iFguwWKTEDzvetZ+3Py7rHID3swFLMvGzY5aAUpC3m9FE99keLW737vCQBAMsysPblSQHLMkvRTVPlYKW8cO/0Qp5mO2JMaq7zZd2plNDmePj9bwU2Ow49yHL4WRQg4APID39L0d7b7qHOCQxn9VMfDDq8HMw0NVJr20n7gRylJ9OhnXgUAmCiX0OWC9WK3h1N1eqbrwsMe71ANXbHiBchMF9BhhFffcx8A4K/8rZ/Cv/nXpDXoSVqnlpZXsW406ESCzi5RCJN4CnPzFBeZOHx3awXDAV2vlMpSZMPRECNOerz9Ha+yOl4TnFh537e9B/NHqSvjd3/Hm/G3/84/BgDMzh9Fn5Ozf/7bSdfrQx/+ELLE2FYe09M4oO2iBnSaAVC5xIB0YTT6BDK8+DQlEY6/k2RVoijFVItiZUcICI7Bh2GIFifDTAze7g5xYob8cU9oLHLi0W82UWc9prvnM6yaGJyLZcu9yCaeSr5n17m9vaGVDDCj7rlWtiRSyuqVzpUreJwTQ3VeU6dqJWj2j0v7fZzgrtqO9LDP9O+M16hAOhBenkW4fJGoqxuDCJr9kI5NMtK3iawH3/ggvvilx/lrntVT0iaW0nkiUQoHGT8Hr9xYReDT+UxNlPHkU48BAGbnyBZ3d7cxf4gSpddubNiCTa+7iKPz9Pzs9UwyDTDghUOHjmBvl3QZB8P4T6Wr9N8+TFdHE3cDtoggMjz5KBXIFr6Z9nOjfozZZh32w+a5SkK0zHPMMW93MMCpWZqfodRYZcBLa6aMBut2XphWtjh4dJJs6WZvZLsVlsoeKlXjlwaocjxudCSbjoc9jo8TpWzeYL5cwVNrbEvsJ2caZWwz6OLmXhen+B4I5VpfHPJaXXFcONaWNMBJ/v1UwPV5zx7Q2q+V5iIGoJIQuehwTl1UmmUdpJOvXV8OWLGdy3VBHonjJCew+3+hVa7nJYTtLG7XQde3mo1KxRCKk3iOi8zKH331MaYujsd4jMd4jMd4jMd4jMd4jMd4jMd4jMd4jMefifE1h+jSWiMKI2xvbcPhSqnreEgYCtlqNTEcUfb/Ddx1YK+dIOXsfpA6qLG4uIgilI3IN792qu5BcfZybrKJJYYgTlYDDBlmlwoHHiMkVpaoCqqiBE2GMB85NI0thsSqJKdJGTHmrpviAle26l4Zn92gauSzqzsWZdVLTJeHCLV6CwBQkn0MuHNDnCn0uMpVm+EKhsosfLrsO3DKdIxPPRwCiubCC0zFXWDEqAjheBYR43oVMCIahw9TlXt2ehqPPUqZfek4LAwHQLhQmqs/wskrmcJAFz0LX1RKWRTXbV3OCsVrbbogSQAG3YVcuPVghoZABkiJUyeITnF9cdVmqKE1FNNa72NU4OLmAJ6pNscZJqpUOVOjENzPCe0q2eaZpo+Uq1Tzk02sdo09VTDi6nQCDw5XIa8vki0gzlDjG3Ho8CS2GRYrFSBZ3DTm+dwXCY5X6f5VhcIm28XT69sImVq2xRWksp+LX/qOg4zhtINRCsnPSJ+/E0GjYRopaAGX0RrPPe8gHV6h8+QK+mg4yLPzTmKbMcDzbWc4Q1dMe21LG9Mqw6jf5o8GUEaoUOaClXmROu/4goKIr/QDC4E1NDZ6K8/ju6UJPphEIFNE8Z23qSgMcf3aVRKlNzQ+CFsZEa6w6L83zFEFaXM7hMPVoniYYZK7T8k4t6V+g147UfegGIUx3Qy4Ayqg0hRdFsoO4cBju1lcIltyYmW7ih2am8L2FlWIZQo4aYF2AmBdj3CKkTs7I4EO04oeX9u03WO7DMXXqbL0UhcSIVNme8PQorcSPm47ijHLPBInAxyurn/q2RgY0TVJrsQqlRizguO4cHxCY4RhBMFIGenSM1dxHIyYoghI3FwkWp/r5uKng+EodzRWJdyDtSyd8v/TXBoxTVvN1grSoAcFClQhae/tQQ0hjaCu6Xrk2spXmmYWZfkqXk9uhUM7tzrWaDCy2I9j1PlyO4xGWKhLpHytkxM1rHNHtGyiji7/RuK4liKzeIvtKVGo8P09cngSO5vkm3SSd9kxvmlbCJxo0NpTEgl+7Wd+DADwV//uv/xTz8Fk47T9e7tN621v6GK6Ts/Sj/zwd8Lzad2cPfqd+J//55+gc2OU1mc/9wgunD8HALh58yZiboRw6coiJFfFKzXztGmLsHJdlxoZAIBwLSJZa22lEhRXE5Mkta9BSOsLD83NYGuHznlignzQaDiA5I6yYTTMfaVw4Dga2R+Hwf9vHQKAUBDCLaClc/9ISC86/9dzd7G9/Qg+N8VRoxhNXmO8KESDn509tqVDDRcZV2GnWh5uckV7IgiwbdDGqbBNL5Y5bpJxhoAr3XNzTexuky1BaShGIyZsS5tCYIHRFlWZYrlDx3pyfRsJxyRdpsm5DlE1AMCXEin7ue4ohmRkRchrX5RGmK6RXwmEhMvPz+PPxNBRjki282j/lmh3eny6ub+RNqjJaYXFTq4C4ssQV6YTlvHFRVRfoVEQcuqiKf97jrQ0cPqOzP8WB13Hzm7/CZGjawEJ07HnDYx+X4z6VtIAUYImd0cvxRFqZm1p0WtHqy4yft4myh4WeZ7rgY91Rj33MmE70q2yELSnNI4wKr461bRxkwNB2gAAUv6tXSfG8SbZ01YvxD/+4fcBAP7Kj/4dODVCDv37D7/E19PFP/2p/5Gu42OP2EY4nWEMl+1pxGvBsYUF/Kt/TiLeX/ril/CG194PAHjumou4Q/PT7dF5hWEf05OEwhgMBihxQ58kS3Fr8SYAWPSn7/uolBnR3duDx8yK/d1t/Njf/jsAgC88+hgefCPREd/9rrcDAD7xiY/jqS/9AADgIw9fxznuHvnwJz+Kb3n3X6Q55vXjW7/1ffjYQw8BALa31jAa0rxrCKDQQfTODg3bkMPSnmDXaq2FRSa/froFANjZGcJlJIyvgErV7O9izDBqZY+7Sx+tOlBsJ81GDcsslVHzfWzz3A60tHHT6gr5JkSJlSU5dGgSG5sUNzkacEwDXT7f/TDBGbalqptih5kbz2/uIuXnd59jP9+VFv3pQSJl6ZqiLQ14PzvUKaZYCDwZpNgOCVX/1LMjSM1NnCwl2rV0vUtXrsHz6P1UJbn8g9mbISP5GgCHDk3hz7/v2wEAv/zLv4Azr7kXAHDj5jKG3NkyarPEReBhi330uXOn8N3f8R4AwG/8pw+hvU/xwYWTZM+XXwlxdIHW4K3NVbs+1uv5fp2b5N7hIUG+2Mn/X5sO9goqojl4/ST59o00hVfhtT3SKLEkUiWJMMXx0X6LnrujZceiDidbAVYYXR+3qthlltZISnh8H5duEYpNhglKbIPHjsxgfY38lVSAw74k5dip7SQ40eRuoI7EOnddfGFzz+6h2pwHmGz4dq8aSMdSG7tRDI9RhRG/H8chpgM6ri8dREzdf/GJGOmQWWdljg20i4ypndBpvu5Ix+6xREbX+653vRuPP0b5gVqthN1den4IRZ9T922LYknzm8apZesIIeHys5ZmusCqMGhnAcmNZlwBpLERtFeEgv8TxhjRNR7jMR7jMR7jMR7jMR7jMR7jMR7jMR7jMR5/JsbXHKIL0JBCQSNFxmiDleXrNssYjQZoNUg/qMrc59cuzOGhS8RtHYZdhJw5VI6AZzLdnC1cS5XVJPmGo9OocNXkiVv7Vizt6EQJzRq9vtiljG5JKxxlgbhqWaIxSVUlSA2fs8KCNYciF5CmXWkYWVHUqu8hYbF4obnC6KR4aZEqCf1QYbQX8rW58FusuWKQMqlGhZFpscpQmzoMAJg/08Hmy3SMeo2qysP+ADAaHcIrZFBjOA5VEDpcPb948WreMlQ5VgeJVSQL98bwePkfneUCrCLn7hZbjZoqkdYKjqiYL1pOuVK3V0MPZGjS4VlcKohwWm0CYe1McqX3G+6ex8cuU/UiUBF2GAGoHAcdrpY7XKVeCjPcCqmC9A1HJlFhxN4TN7fg8nydmKni8ibN43KPW61D4zi3eW6VPWSThADIZB+eEbgyPG5XYmQQGFGEKqP2mqUAilEyZUYgNkoenrxO2hn9UWYFeyt1F5IRgIpvqe85tqrmOI7VCqk0K/BYOHzYIwQNpGtFCnXRJrRAErPgIM+NFBpFQbCM2yRnsQM4Jtsfw9iLKnC3zfekU4EyAutpQjpcIFFDAHD8GmDQSm7JCpRCCETpMLf3OziyLEW7vQff9/Hgg98MAHjo4/8lBwCpFCkjFQO+R2+56xA++gLZXVUn2GfuORzXCsgHjJ7ZSoFl07Tg8IS9p8/d2oGpWZycKuHlDfqNNa4ElaBx4RA9942yQMQVbwgFl5EBwlQVhcIetyseDhJUGaU6Xatis0M2n0R0n6eqPp5aoopvnGksc8v0Ws0DWFcs4UptSTrQygiTusg8tsv6EKMB24LRmoCANggqGaBSJ32IRLctuiHhalMqNXJNAAXFguBx6tp25ULoHOhg77tHOl0AaQYYH+14efXKtMPOFJRBKwrcVhU9YM9kdUpyeKMoaCw5yEZ0DV6JzuTB8zN45BXy2044QpsrZo4j0GM/FnClbzcFNlhj7YFDE6jyY/vs4o7VEzo+VcPVDXpjtUdzW4HC6Wmq2jYCBwkjAJVQVofCoE5TX6JrntMowcrLzwEAnvvCH+C+t3zrn3oafuj/S8gDMPI4TRKEXNWrlEt49eveCgDopxPodUmva80hmz9+4hw2jMCySpFldG31eh3dffKFoxHZtBM0LZJPZQpzh0kEeWe/Z9EGOoutvYB1HYXOYVgkRk/H2Nvfs1pYPW6Ik6WJ1e2DUhYVKD1B3SIOAsGsAWhJlX1jy9LLK6ayjIyfjYkpWmvOH2rgi9cILVlONfa1afThos+25DAKYi9zsLFD69z9cw2UGW3x3PIOFNvS2UN13NghNMAa64pUBXBiihCbjZKDlNe8VOe2JNiWlOegy2hjnaaosw+drpZxuUOV84TjuEbVx7Mb5Ju6YYKI57hW9yArLDzssLg0XKsl4koBXWI9r4k+BttGB8c0UsiRxKQpRNcvodCosUZZzyBfRI5GVvT/AK1jFr2lc5BpHjjlYvRpUmjXLlxIjkdNFT/N1G2abrmIb6GJx0EN4ZKZF3RY8/eAjOPSCou0vak5gy9eo/sfpAodRn/1XMc2cvLZN+1riU3WUnr9XB1Bieb/+ZV9ZLyOnJipYHGXXl9ie5r1HUwy+qJekrlvQmYRA4q15jLXQZ8RgCJJ4Qr63srSBt78Le++7VI3Lz6F//WnfhMA0Mbfwsc+/nt0vmUBlxHZHLLjb/zA38Fk9QQA4PTxNQwzOsd3vOkoHn6ItDk/9fAnAQDhaGCRE2GcolZrAQCSuI+EmzA5fK+jMEOVG2zpLAFYE6hULuNnf+an6frnDuMTD38CAFDmWPOlyy/h1F3vBADcuPwwPvaxjwEA/tJf/n58/OMf59+jc5iYmLCIz36/j2qVfMFo0IeGiwNjV2gAELmWFGDXYa0zZEbrzqX79aa7Zq0tIY2Q8DMiHSfXrOb4qKsdbLUJffLauTqCCs3L08v7FhF4arqCxW2a23W2pQo0DjHSrVl2kUyyb0IPvm9icI5HXIl9jnOzKMEEayV3szK2uDlQwojXpufhxW3yTZ0wRbRb8E3cjSPlZb/heJjltXZ7ex8Zo6LmF2pYvWmadDFKUmjrK5ROUWGUUrcbF1DoJo6QVst3a2sd//6X/p29Fc8+f5nmWo3yZjtmH+DVMWREZb+zgYceepiuY3/boqaHzNA4c+Y09nZIc24UacTc5CiJI0ij+XSnh43PcvaH1nFBx1BAcZzp8X7ujWdn8YVrdM5uFCJmPzEQ0gqcl3mt6Ulpdbvvm62jxMyCFxf37bp6fLqK65t0/9d6uS0d5XV1ouYgZUZHuqPgcXyvWGtbea5tUKejFFXW0Z2pVXBlk9a5NKXjlx0HN1insBenCHkNrtU9CLalkOehLlyLRHWkhPboGG69DRUboXj6LSkd6IThdkoDHK97pZrdsyvQ98PRCD/1U/8AAPDCiy/hl37x39JveHlegVhT5iZx/OF6OWpTpRaNBq3tcyn5HDUAxayVJI5y5KdXJb3mP2F8zSW6kiTB+sY6XLeMNDHQOm3F7TIo9DoEC/zJ/0wT90+/7z7MT3C3tikXLzNsXiQZFAdsZQ6mtoYRIpeDhSjCCj/UTiYQcHLLUQJHp8lZjtoMQU0VEhZ67/QiDBim6gqB/pBuRInF37IsRlKlv3siw7kKPSzb0QjP31ql80nJuc3NTeLEJIvDDxRm+HdXN3tozjBdjekpAkDY5991BNo7FNyn7RIy45wEBa5pVjCiQneVVGl0OxT8b6xSwEedJ0zCyoXlywiVh3JaFTqQGVHVgjgpXPs6dcUwnzQLlGfpZ8IRFiUtHdd2ijyooaGhsyQXVRUqd+xS2O4l//tvUbeuf/KDD+L0oQZfisIri0xfjXOIcNkkoUYpFG9CRRhimQWfZSbg1RmSHGU4xGKqYZsDvkzbjVxnEFkKoiMk2mxPPlMDghSIqnTuAwHM8GK3Hbhos2ObaJGTPXX6ODJ2rI+8tIpmk+Z2fbOHicMM+fcNXUMjMl23hLaUD5E4WF1d4bnif6Rju3AIqZFyMKqy1NLNzMKjbqN7FYJx6eROS8g8+WBEfFVmO5ppVaCYxQNYL8rJZOUoS28r0j90VujecaeHEJBOgDhJ8LGHfh8AUKlUMRzxgqGFTa78xG+/AgD4ye+4CwuzFEyVAuDmsqGBZRjyRqHGi14yzBB5HJgPI6yyj9Ea8Jg+CwUcZcp2zLRrL1Xo8IJbq5ZtFyBHSHQ5qCszb7jiSAx5VRgIgSovPmXHsfQf85j3kxR3zVNR4fJuBzOTZM+L6120punvsjC0RCDkpIzraqScGNCjGjQ3DbAwZgjboUUGVQyGQ/5dA0kHpO0YpJD37skT5CQYbRJZBRuycXpiofRaaUvbgtB5SGSExrUGDF3bDfJuMkLiYHhmxaE4OWGEeb1CkSCzSZl/+p+JSvz3/uIbcJgLLp5TxeIyFTiQpBjyudbYN2WhQmJESKMIO+wrhAKCOgv96hQLLAqdMX3BSxUGvJ60+wlGTCtxINFnOytxgs5LFIYsft/RGjX2Y597+L/8VyW6XvsaouNcfoEg8q7vweSue3GEF198CgDw3MUr+Jc/Q0LS9953HwBgZXkb3//9PwgA2FlfwTe+5/0AgDc/eD+eeZaSYg8//Ic0pSq1VEKVhuh0cqH4vOmPkzc14PMrdt/UKrG2MwzjvNsQF4hUHCPl71fLNQxYEBquhHDkwewlbf7Myc9V5fYDwPrbv/8blwAA//gvvwbzvC5VSy5uLDHlWQExH8Nn3xSPIiiPE3ZxjE22CZlqlJje6KsUJ9jXqQ4L82cKI06st4cJRrzmSSnR5w1FoM06pzEwjTkShaO8Tm2WPBj2gulb0k8T3DVHic4XtvYxzZS4tZ2+9U1VLjQJKTDidS7zBISm+zHc13nVpxjamPuplfUraRajz4LgAXdEjKKRpTYVE+S66I9QTIflXH1zX1zPt3anoe2GzSQBAYEksTt7ewj6jYNs4oNCIeE2/mL+J5vWT//2VQDAT373azE/RX6l7Du4yb7JyfIaR8XaUwbeR8GNY7R5XW96PkK2vabn4ASvdQ7biopSdFmmQfo+RiZukhI9Fvou89w7WYIRr3udTKEe033fWbmBKKTOc0GJ4vDdXgfbT34KAPAzP/Wv8Tf/+g8DAP7R/++foduhjq33v/4tAIC5uRk88iVKZL3tTe+y0/FDP/q/Y8DFAmNvUgQYhrS+uRI2yTQ1cxQpi8LvbNO5+EEAzfd0cmoGwxG977lAqWSa8WT44AcpCTfRohh1cmIKbW7W9YN/42dxz913AQA+8fDD2Nym101ycG1tHbUafQ9pAs2Fo0OHF7C+dguFgP4ODlFIlpoikoa2DWBgk14/+18oCfOP/uKbMTNBBlINKrix1AYAyFRhm4trdSPxMYyQ8TrnRBE2ee69DAjK5Js8CBxj35Tu07y6KkPKdrfXCxGapKgU6PE+q8z2LlONkU+/1wcwwca/X/ItY8tcTi+OcWaKfNOl3Tamee5Xd3poTtF9rBjfJDQ6DKYg2hrdj42VBIKTEmCKtutUkfJ+9o1veACffeRzNH1aWamdzCQPVb7HcR3P+qk0TezxAB/aFHD4pX5vD/fc8xoAwNrKK1hapb3i4UOHsbVD+27TFfXEwixOnH41AOCU4+Da9esAgE57H+19pofe6aHBQZ6TnzRkoVFavhf46d8lWvI/fP8bMTtlbKmM64ttOlSqkPH3GiP6d5SlELyfc6IIO+xfhJKocBMIHwKnOJE13KIklK8UEl4Td9ohRrHpNCwxHHB3YT5dRydI+d50VIY5duPdip/H4HxlvSjGfQvUJfTx5W1Ms8zJ+v4A9RbZdpUXRVdIG/tDaUupjdsaGUslZTHdQ78+C2HyAyqzskRJ2LXFFjBV85HPPow/9+fIzz38iY/afSAluXhP6ASFwjL/o7Vt8KOVyrtVC1CXRQAx73Gk6+eNKkRo15x01IM0wvV/zBhTF8djPMZjPMZjPMZjPMZjPMZjPMZjPMZjPMbjz8T4mkN0AYDSAvVqBb2eoZbEMFX9JNFQnJ3e26Fs6ueuruFdryLI8NZGhApnDrN6BbMzLfos0wqmJsq4tNwGAHyhH+HEPL2f7I+wy1DqZ/dDHGUhzVluT5u6CcqMeBmGGc4zwmLou9jlLKppe5wIjQ1GUkAAGWfQJ6UDwbSKgalEJSPscFv2/n6MQZcynF4gEO9SJrM0b4SKJaos9rndC3HxCsOOd0aYOXwSAHDuHLVLfvrJxxENGWniBABXsaUjEFQmeK6W6LhuCSoN+Tdy0VVdaCcthLRCiLaUp3NcvhQ5rYxKlIzekLkJauTZceHkFR5thAQPaEjpwHU9AwaC1h7MhWUFiltvRBnsJ5e28OaTNEebG0OUuFoiJ+uYY5Rdh1FXrbKLKyyU+mQLOH6IEDBqd4g1Y0/tEY6wPbW4Sq3TDFWG0PYHMY6zQGIsXXQMIsOIDAqNLlcFpBS2CD3tO0j4XkpG/Y329tGNDCXQwfIyIfwcF9i8Ts9L41UT/D5QZpRbmIS4cole7++vQzHFzgkYPeJVbAUyTYgKQxcygooH/BuM8hLiK4OqsohOBCDUiqk+yRx2bCvhxTa2jocyQ/pHQzoHnQwAj6rHQnioVKkyO+xvAto5kLqkGcUKdxyHlh5EFXkWnmf639WNHh44SdWf9k5kwUlBvYL5GRab5Up0vRlgY4UqsE81FRbm6X5gf4htRki8tLiP+RJXp4RpjS1R40YCvVGI4zxXXQUIFk01ItGJ0Fjn6vjsVAUht1SfSADzzLYZlXjUL6HPCIx2J0Sna3wEsH6TbOnsXS06Ry0sGziOMzx1i8WUPQnPpesPe3s8a9rahxd4aDIFe2urDQGD5DJICQVl2tzDKcDVs7ziKQp0owIlWSn2wYVlUAonR4VZyixywfDMyY8hZY4CPaBBdu7mtDkVAwZQL3Jxb75NeHm7i3sP0TO5tzWCz74J9SrmuWrZZTRWvVnCtZU2AODZpsbZYy067H6EbW5o8eJiBwvsezy268AVqPBh+8MRTvP7Q7eMLqMQjd+MhcZ+aKDlEhE/s71rz9lr/OKnfhcA8HVvfRDwj3zFefiR7/tfAAC7ty4CAF66+hwm2GcunLofFx74KwCAv9s8jm98G9F0DCXIcV1MTFKjkbkT9+L6VULmirSLJ56hqq5Z31yR5G3bhYTHiI7JaoDNbaINOI5jKaWpsQutLcLF8QoV8ii04uTKwgmFReaMRl2UamT/cRwSYu9AhrAUytxvigLqR1u4Y9wn+3jq6ia+4VW0XnW2I1vol2Ufs5P0HHZ5TazUPSyu0TP/VL2CE4cZ8dyOsMW29NJyiCMBo7s4Lii5Dqr8vPV6I5wwtlQro5sYm2dpBgm0OS7yfGlR8y1XQjAyZ5/XwVNTNdxkJOiwn2DFIGgcYGuF1qOTpxi5ojUCpmincPHk9RzZrTMzZwUKj6EHQqPEVDvlOZidpRgzYMHfl19+OUdfCm3XLhRbrQtRQH3l60aOEBS3g134f1JD80COzNA6y89N+Dki5oAGIRVlASGtAWHkCaRFjww43nh2eQcPnqA5398O4ZrYsBrg8LR/22crgcTNVYpNnqpWcGyensOwmyBiZMSnLm+jyj/daZPt3T1TRcOneeyNIpxiexq5FfR5yjNeOzKpkfCtbk362GLE6s3nPo33/i7R+157luhYb33Nedz79d9C76+u4OQRQqr8+3/xATsf7/xO+uyLzz2FOjdeefn6RfzrXyJ617WLixhuE1qydYgQX2987T34/Bcf5/lMMWRx9GR3BxMNsqOJFl37kSMLuPIyocf6/QEy9j1DZJidpzXym77h6/HYk4RSNU1+hoOORbk9/Id/CI8pj1//trfhhRfJ/xlqt1aJlYe4+97X4MZ1Qp7v7W/C9T2o6KBsipE2dguRwsii0HPBvmlI9+751X28/XwLALC1NrIxuPbKmGNbijhObrY83Fgh+3ixJTHHtpTuDNHmuOnKctfG4GWDVpUSNRODhylOlBml60oM1JBPNI/B90IjWyJt069GkloUzoD3gVPVCnaZxjcYxBjx9wSAvXU6bu1YPZ8a9n+Vko/PXeaGMVHOoDF7JZVl+PZvey8A4F3v/hbcuEmyIsvLi0gSgzw3fiyPW9I0xdw8rY+7O9tIM6ZEFvxHpWKE7V0cPkKNGtbXVnH48Dz/vYyjR+n1jNfSG4srSDNifjzwxtfjVfcQkvCLX/zibce+s0NDI4SUFYuUVXlPENA6x80jBvTqpa0O3niE/FJnO0RgpCHqVRyaIf8xsDGTj+u8zr3YqODMUZLVcHeH1n9cvtXFUaauNjkn4GugzvufQRTjpLElr4LertlP0xlGWmN3yAhjIREb+Q+l7R4749caJQ+LbbKZbidCn9fuwHewsUzr3Cn2uZnQqPA6l6gUT7zC+21IuMy6WThOeYJ+f4jtDjMtvDI0o7eQjXK2lU82IVSCH/+RH6LzmThk1zPpuswG42HXN4MqzEgqBEyVNOugdK3cjW3wo5SVzhE6R+tJ14WyUiNffYwRXeMxHuMxHuMxHuMxHuMxHuMxHuMxHuMxHuPxZ2J8TSK6tAa67b1CNV1AcyVZOC4kZ/dPHqdM5oQU+PRzJIo3W6sAjLY5N1nDY9cJIVFmEffOXgdzjMYaAbi1RVUlCYFZ1t0I/QRbnOFtsihhSQnsMRLi3EIDCYsUDsIMPqN0dvl3M6GhOONfch10GN3VCDycnCcU1gy38q65LprMQdVKWA53uS6tSLut/QmgN+KMrgc0J+ncR9s+Rsznv/oyVWgSBUiuPColILhcK6W22d2I+eAqDW02ViPLKwkFra3bqpRmCOS6TADAujrIMmQZV9uZBwzIgvaNY9E8WTKCdCs46JEkSUH7JoWdVanBRR2cPkHVC3eo8JnnSDeh4fsQjLg7MVHBM9cIlVJie9rd7WG+RvdsoBVurdM90Rkwx2i2gXSwyaidcyWjxSOwx3ZxfmEKIVen9sMIkjW2DJom0srak+848LgC1PQ83Nghzbfzp+4DAKSDDbS4tb0j99CaIhtw3bzqYVrYlnwXYWh0CRwEJWro0Ms8y6322YbCYc8eQLqVXAhXATmahv9RymoeCT/I291nSa6FVKhUC2H0JxKopFBJKxSF4sjou5X5s6lFWEjPRThq87Fk/nt3eAR+gKMnTmN9bRVhRDoFWVH/SWs4jLg8sUB274QxvvgSibw3fA8Baywcr1bx7HWylRprA3b32jhUY21ArbG2Qb+hARxhXZhRkGKLK4Sn+dFyAOxydebuU00kXFnsjBIr2NpjpMRQZCg3yXajVKHEdjWZ+LiHdemaLEzZDCR2BwbRItCcZHFLF7AVWNYtDAIHfbZxPwBYlgJxx8drH7gPAPDZT5EGCmn1sQ1WGrm2UTaCzwjCjO0kiUaQBb0auyZoZY/BiskAACmNLlcGYZonaA2j50Umc7sAKyAgHKMzl9sltCbNtwMb4o+ISguhcu0wpayu0tlzhIRS7RBf2KSK41StAjmkuTvaKOHFRdJ/q7Fv6ndG1jcNlcLautGSA6b5WR04GqsDsp1z3KzCAbDH9/L8sTpiRt50wxTCtEcf0twPkfumsush5XvSyHz8h5/7cQDA3ScJCQG/+RVn4Vd/59cQhuR7vvg0oRXOn7uAnTWqFl986Xmo0pcAAL/02d+y6M5+YqqCAU4zMqMU+Hj8C5+mY5w9hkGbNEa8EleskxQq4oq242HQp2dwOMx1ZLI0yTXTTGVcKljTg86Ll0IgS3KUIQBI6UEbgTG3hGjY5c9KQqMfoIbgbedsJc3prMFV4hMnSIB/2nfx+MU2AGCy7EH0ya5OTFTwHDfIqbPO5KDTxTzr3QyVwmrRlhhBM9Aa67xWnmHdNglgj+Ois8dqFqnUHab2uW6PODZxBFxeHwPXQ8QQ7Jbv4cIc+aYp9q9VT6IZeny9Ao0W+yYnv35TCHZcWC0nIMGJBTrW1c0MEEYH1ojRW7EzSMfDKMoRovv79HwNhwaZKi0aA46wjXmEEIXqdn684l03DQqE1BaZoFUG6RitQUa7ZZm9Hl2ELjj6y7SzDmJo6CyCcJzCa/SsK51Lqpw8MgUAqIQKj75IqMjJsg85IBs50arg+RttAECDUUzdvRCHqnQvR1phdZ1szxEOZtnnXRvFSBi9/JaTZLN7vRDLu3Tc15yfR2zWujCFYHvqjozGrMTsNH1/vlmH69Nz2B8meNdrCMl46xohSF9MtzA06Mfps/jAf3wWAPDdf+H78cLFLwAAMkY9rGwso+5TjDUMP4rXvvYEne+LN/GOP/fXAACvvfceOt+9XSwsEBprcXkTku9lliTY3aPzbE20AABrm7solVnjTiWIWOfnL37PX8Dv//4fAAD+y0c+gbvOnQYAbDC6XSECbyfgOhKfZLF66biocTzRM37QKyFl9E+axDkyNVZID6iJD+0dEgjh5np10rGaPkK4EIxEOXOKYvBpJfGF52hNaPgevIjm/lizgmdu0n2cbNG1DdojHOYJ6KUZ5BYjz5XABKN7ukpjlePts3adE9gfsb+aqSFkW+qGCVxe5zqMbh+pDDpgloMjrWdtBC5edZTsv852W3IE9nmfBi3RaJIN+p7IUb8mlhYCXUZEC2icOUk+7flNaZHHrjTxvIeLF0kPr1afsILeCwvHcZ2ReUZriYbRXQY2N9b4b2mRvVpr66cS9o+u5+Azn6Y47d5X341nn7vMh8iwuUV+bzSkuLRcLuN1ryU9r3KlhtWVZZiLE6LoM+7cEEJAygBaRdw8wVwi+0Kp4DHK81X8XJYHGR67SLY0WSnBjWm+jzTKeNHYUpP3OZ0BjlbJrvqpwvomXatSGjMG/SdzWzrF+QGpgB1mPNx1qm5tqTNKIbmhS4/j9lGWQTFSOHAcJBxj1n0XF2ZbAIDj3FCq4gvUvBx13GItStcF6o3bta2lA4xSs85pzM/R9xY3Eziazq29R/dw2O8CzHiQ8KE0M2UEIH1mynADwGTYgcvI936/D8kNg3SW2PhY6xy9lTfDETbWURoQho2hUut3TBOKer2KET8HWgqo1CC6AgjT0A5ffXxNJrqE0NAFYWethF3UtUrtRv3976Pg9h4l8fBL5MjX211LWXlnqYKnGeZ8ZpoDJbeCl7hzwaWVNt5zzyEAwOcvb+FtR2gx9aSE53Igb/humUKd4YiDMMSAnUwsNWJ2EpsMq9dSQPMilTm+DWpGUDjHIsD1Ch1rsRNixDd14WgdSyxWHUYupCZDmz/GAZ2ChR37Thk73HXI9zUkP+i7W5SgmZiaQ7fTBgA4jgvNlKA0S5AN6OG2XfJcJ09iKXFbYJPH5BpfDhAUIPoHwN1Q+L5oIeCYh8EImkppE2gqGVo4rvR8QB9MYsKcJQniZ5aSJODaDbPSCRQ/SH/te8hp13f28emLlJzYHPXg8Pm9s1TDC3zeJydo8ZkNyrjEgdfl5X18y90Edf3c5W28+ShRzyq+hM/+Z2i6WSmNetnAZlOMWFAwcwQSFkZc5c2mkAKa4fypiOGyDWRQeAsvsl6XoOkdXcap03QOLy6tY2OfnoVRliLmYzSb5LSyVJM4MgDP8bG1wfdPaQRV7oTHQZGGRMBwfaUloE3AmyJjmmNmu3LGOXRauLB8Pa1zE3Lye2BEfGldzqk2hraVKW3pCJBss37F+geV9GzugkQpD2YDIISA77k4dOgQej16TrvdbcSx7axgH5j3vZsgwsd7IzxykZ7JKIwQSJqLd1dreIkOgRPcgGLaC3CtTQvOyysdfPM9FPR9/so2mofonpU9x4pahgwbdrRCq553sxzy8yt8gZg3auucEPH9HDa8FKZolLiLa5bh1c06f4Ym80YnhMML8qHpGta5+4vjCHs/ji2wMH6UwePuVFkKbKxz0n+0jlcoVsqpX34TioWB+70u6o3jNH1yFyl3gjGdOKVIAEP3khqSE50qE3mCSIu8cYGlDAEQmf3TCj5rYRuCWvFMUbTFYofag+66qPOkrNnMQuU0SmhL7/gfvpfE2sX1W3jkIm0m97oDSE4SXqjUcLVHc3CMu0cdKilc5a6LN9Z6eNVr6PXPX97Gg4dbACjQ8jggNtQLXwB1huYPohQZd7rTLqw9LfbouJ7rQLH9r2chPH5mz56/G3/5R38WALD5pY/z9dS+4iz8wHf/Vdtu4OGP/w4AoFmbwfm3nAcAvPp1b8Xf/We/DgA40TqKUY+SMB4HZHfffRdu3CQa/sLhabz7vd8OAPjo7/+e7X7nGLHeTOZJiCy272vp5WkhIaC4gYIRZpWOVxCdzzcTQog8ESsMLT2C9M36p2zsIvxK3h32Tg+toZOQglO2ZQomjS9MAfY93/t+omWd7Xbxae4IuxMncPh7F8oOLvXo7+PcXfqwH+AKd4S+sdbFN99D68MXrmzjAbalkifhsy8fmc53AmgYuuIoRcrURsgUCfuQNU6EVZWHLCJbGugRPH6mMwm8hoW3PY/m+uW9IQy7b65VxgZ30vYDBwkXjY4dIXtXWd6AolZvYPFl3mB7GjoxhTjzpCu7lmQqTwQIuOhz4sasUUppaI4PXSewh1BQuY+BtnZVZCiaRosaMm944Dh5Yt12Q5NIOcEiXc8mCkShyHhwQwCy0FnL4TgKAHTeTfQHv4fsaWJjz9rTXpbB4Wu4UJa4ZHzTBPnvI0GAqxyb3Frv4h0XSHD5i1d3UZkhP7EwXUXAz06HN4nVwEHAz30UZXCYjubGGaRi6jXH1oenq9b8X97s2EVABhJzfVp8T5ym310KMzz/7GcAAF3xJG5tkI+5duMKdliE27ExjUDIewwtJZ59gShkmU7R5WYd0006r5dWVlBrEOX15Ikj2N6ifQqkiyPzh/h1ooT9+N/+cfzbn/9FAMCnHv447uYud2urq7jnngsAgNOnTuPqFaJHJrbY1LN7ELfbw5A3jEePHMLOLl2H4vhfOAK9Dr0WDjqYmqLr73T2kWXpAdFhBa1jQtoYALK4Zue08Pd/F8XgJ/f38blLtMa00wwer/XnyxIvsb89wsntE9Uyru6Rv17aHODt52kf9/krO3jdPPmNkutYvz00UjMSaHDyfjCMkQYszu3Elj67zAkN15OI2AbhuzaHFCYpzlWMvAe9dqsbAlysOjxVxQaLt7uuhM/rQp2bbqhUI2ZHNjVZxZNPd+ycCW0E5rlpR6mMuUPc1fNTf4jJSUrWHps7gm3udtvrbvP3NbQuFvYL0g5mPXJyWnKzRXM2GsUQgn4vTbVtilGpTmFqij4zx3Z745UX8cwzVJh64AEPN2/eAAB0ukPrNw9kCMWdbYtdZ43DFcj4/v7Qt78OANC4ecvu53biPlyOue4qV3CV15PDnEBaKJfwClMU1zYGuO81ZD+PXNzGGw4bW5J5zMT7I4qZ6J73RhF0yWSeY9vEbokTYY4jEfa58Kw1HGkkX4A3H2nR8Thv8creAP2Q5vL4XB3LLNfkyDwGP27WuVTbZkxeqYSlF+g5F9K1PZU8BtVUmzOIRz37vpU9EBqKG4ZJ3vcK14Xm2EY4aS78LwWMXRHAILV/AyDJqUIxplh0M0kxs551O20SpAcALWy85joSyZ/ClMbUxfEYj/EYj/EYj/EYj/EYj/EYj/EYj/EYj/H4MzG+BhFdLEgtYDPwGipHiGgNzRnw//OXSHT27/2506iVjKi2RNOhFOBiu4O6z9BlrlA3XInJIbfUdlwsMQ3ku+6aQ6vGFYJWgGubbQBAwrD6IHAQcro0SQUmGDWxN4ixx7SqhLOpaZZaUbmKirHGWd/9ToyJVgsAEDP809EK81yB2uwPUeaWoUmYoEWADgwHXIFwHZRLDPcfRFBthp0qQHv0mXPnqfKzsrqJWp0y0GEYITZ0DW54DQAOz43WedUZWucVRur7S38LYRFRRU5Zri2Z2P8jgWXO9Jp+4EoV4PoCKjYV8+ofpUTe0aEBlUI6PlpNqrxUqxX0+/T7e502NPcu/8l/QRD1v/XOE/C5kuHIABOcL76yu49aiaqJE0zXqfoCrQrZU81LsbJFVd/vvDCHBtvTsXoJ1zep4pIWqF7GnoZJhgZXt3YHIQaG9sfw6TRNkfFny5BYYehtZxhjhTPfP/AdJFLZv3gJukdV1VotgDOgqljUjdGaY3g309HKnoMKi5iPwgTSIYMr1XPUS8h2KpAiHtHf0i3B8fiamzV02lRFMlRbCNdWdHQ6snQMt1TL7VDp29E39OHb6DeZEdiUgUUpWDPNsrwKIXN0j5CCaEMHUFFKsxR7e7uolMuQbpnPM8Cpk8cAADduXkfKlOdf+HWCMf3Qg9MImIqaZBpNntiVQQ/zjLyZZ9h9y02xwWKsJ5sulhk2/Z13zaLGNI/zSYZLK1RhVhELYbouNPujUaoxxVDnrUGMbso0Bb6Gzf0e6myXU56Dm136je4oBbtNnJyg56RVclDm63x5owO/QseNhwnOXiAU1t4O3ft61UeZof29TCNjOpwehVjuMqSd75HrAAlXb1KlsLxM79eqAdo7XPE2DAfXzzlIkEhSqlI5blBgGObUdvNFC6M2Lxn0VpZAsU9T8ZB/owbN9iW9ihWr13Ag1EE2yhB8nqogYy1M3xDMzh7Gzg6hAf/BP/8sAOCvvnEGDLJDpl3M8CNwq7OPFkPu55kK2/JSVAOah8lyUPBNM2gwpfFks4SXt8g3Ka4cBp6DxAiXJwp1QSe03Q/RiXIRVQDI0hQZL3xVR2KFn+/J1IUJP1qzhBq48omfx4V3/3X6+5VLuHD2bjsTBsd58hQh1yYmprC4SNdem9nD9SeIsnE9fQEBX1NrsgUA2NxYxd52GwA10tjcpOqtdMsIOG6Q5p6nCXLeiLT+RqsEsDajIbk8b1AHQhb8lXTs+gXHQw4EY9tzq9As2AuVArZSqSB0Bo0DqHYLAeGVAai8kg9pnzkIQKd0fv/iXz0GAPg771pAiZ/ZJFWYY4rF8jDEVItQNYeYBjsZeCjzJZ92XKxu0bPz7edm0GR646lGCVdZCiJjWyp5DjJ+TqM0Q90hf7QXhthlhITBc4+SxFZva66Dm9xAqD2Mbexxin1mLZCo81q83O2jVGGB6mGM+gRTW1nw1/ccVAKak1gJhOxikLnI68xfqSbs3Cbd4LJwbsLz6HiOfQ6UUpDSIKJh/QlgmUJ5/CRkXhUXqtDkJz8NizaFgMP2o5WGNpRa4PbvHcQQKaNhTewt7QlqFVp2wT/6ORJb/xtfN4+A45Ek05jnGGllMMIUx16zvIY0A40yx9bzCvgiMzK+9a45uz6pSGFlj+n7PM+uIwBe69b2h5hk9MZgEGKHUcszk/RbozRGP6LfqAngUpdsdrM9tM1O7pkl1L2bZaiyPV7e28HxC+SH9jc2sLRFtLAy+51S4GCqSbH1zl4IPyNkjchSLF4nKuQlbuKgUEKvexMAiZjbEBoKa2t0vq+8Qr5ta3vbxkpvecvX4cplOtaJEyewuUm+cH1jG2sbuwCAad5LrC9ds4FRp7MLx6Pr39zaQziiazZrWq87tALQOgU6bbOeemg0JtGLV3Dnh4ZgpLKN2bS0+wFIAWT097/8hScAAD/ylnmLDk4zjeMNetbXhz1MMc3sMKPYJ8uA2iHndLJewto2+6a7ZlDi+Pb0RAkvrtC8uezGq76DTOT2WueFdz+MscPUw8iwcYYxjMZJw1FYYtRcexhbTOYZ45t8gRrvrZbbXXilPG6q1OnHDUrHERKHZgmtHyqFuMtrUOYyEwWo1ci+HnzwLajW6Np3dp9Af0B71/X1lRyNbA2ssHdzcqaBVsjBXTZmgo3LH7j/9XjsCXqeby7dQspQICEdTE/TeRyem+JzvxsXL12hOev04BmKnc6lJO700CpDGg7gBvUc0SqU3XsQOpD+/gc/91kAwN984wxKzFKIMwezjCpe6XXRqtOzYmKmyZKGz2irM5MuVjlm+vN3TaHGOYTjzQBX1ui5yUK6RxXPgTKNqBKgzk07dvqxpbGyK0IWxnbdqAqBRY6Vu2GCm3ydF5iBVhISr56ltXj9eh8lZpWFw9jKHPVZfsZ3Zb6fi2JkDA7UyQAmFtvZ2eF5SmDQueloC9IirGDtw2X2RBQrqKhrboCVahFB1foSpTVE7tzofekW1rlCgzKVwcgogPeRQg2guUmCEI71z1km4ZhYE199fA0mujQ0NBzHRWr5zAq3zSEb9X2vOwEAePDMEXz0KVoser0BSj4HtdUayoqM80uXaTN198lJTNVpcvcyjbOTZESBIxAzDH03jTB1iB7m7h5ZS1UI7O6Q0XeyFNOs6SCEg50Rc08j8+Bp7PMmfVdrHG7RwzTluNiPKABOTIAkM/TZmVyYr+OxRfq7XC+hXibnnnAirT9KUWUHurLiIEk4CSEU4piNz6HzajaaCAeslzA5gcGArrnXbcMmpGz3DVnwS4UgXEsIwdB+YR6Owme0sAZLiTDjbDJLubHJykLiQWtNyQuAIMxM0TwosKtWCgoJOl26f/3BEN/z/u8GADz8h5/Czh4FEV/3Zuoa8pa7JvG7j1GiYjgIUWMnqesl+AwBf+Yqcd7PnZxEi6kZ3a7CaQ6ySr6w3OseUsywjkV3lxxGRQhscpK1G2RmnYcULra4g45iB6ag0eN53tcah1nnYqbkoRvT69eWKLklq9M4xF3Z3l2t4N98+IsAgEbDQ8mne1LhgK3Tj9HiJMtTlzNkTCcL4wwTk0RNCYemM46Gy5u/oFRChWmX29tbeSLC2JDQcHiDKN0yUqbrxElmN31CwOoiGfqWFkFuhsKB4xnqSczd6Ap7BVHsDqpy+1KcFD8ACH6apNjZ3ka5VMJwRLbkBj5uLS3xJ6Q9p/vuPwsAePOFKj7yBAUD3VGIiLVr9uIKQt6EPnGZgsvzJyct5WF3b4iz0+SbKr4gkjuAXpriyALdm50tWmybrsQi07HbaYKUJ8n1XKvdlYV0jyqOZxfefQ2cbNEc94MYHaag+dzBc5hmGHCi7PULk/jUdbKxetW3Og1mlruDBFXWKrx0bQi3ZGgALgKHNhPDDm1moiiCw1ok0AIZ+7FenAcsBvovIDhxDurwws9BFg/yfIXrWX9jkdJa2cSEkE6esAiqNkDKtbA0hGuSHAnMZk4KH0ocMD1IS2itkdlOtnnRYXt7wxr8/W88BQB404U6PvbUdQBAbzBCZCgQ1RIC9tVPXyZ/dv5kE9McyPX7I5xhGlq1lAv2jQRw6DDRIfZ32gCAhifxCtPi+1oj4Q8rIbHBm8nEdJISAgM2gnaU4DhTk3YuP43/5f33AwD+x/+JOipGcPBzP/mdAIAjR0/gwtl/8Uem4/gROpeNnTZuLT4FAFjcqeKue0jzZn1lFbduku9VnEEZhjFaE0y7DWrY3qHnYmJyAhn7nnbbwPilTWhpldiEgvSqgGaquFOCZvi+6exJUgoF2hjbjopMZ09YPpp0Yf2P8CtQ3GlNQHCy4IDoQTC0TLM+55QVrSRMuvue+08AAN50fgYffZJsqTMcIeTnPquVEfD5P36Rnvl7zsxgnhMQu+0MJziZVKs69nJiV+DIEUpq7rEt1RyJ61v8fGewiaw0E9gaJOZ/6Ao8iQGfbydOcLJBtjv0fbSNFARfbaaBiNed+4/P4NPsm0qNAB5ngh1+jodhigqvXZfWNKRn1g0XWhW6UgLIdf9A85UvSNa55F1gtcm5cNLJ6Lpl9ky1VtZ3WwqrQGF9EgVryDV86lyk7PX2LbNfI8u1aG7r8ngwQ2e8jtrgO4MtYEoXmlOUb3wTrXVfd1cNH3mckkLdUYiQfXJSLcHjc338Et2ne8/OYpILvEOtUWNJiExkiPm+jpRCdYqSAMMO2VArcHGVdVArNR8Dpsj2IwWP9dsiTjLtJAIJb/z20hSnm+T/5lwXPb4nqpAT9nmj/ueOn8BHr9B1eCJBk/cLxuft7I7gZG0AwMsbQyww/W/28FGsXX+ZroOTCMdO34tuj2KFOOxDcsKp3mhZfUBDD7t547rdOL74/NO2E94nP/mQ9VMvXbyMjE+6UiMbkX4lT1pIL+/WOOzD2nOWF5lN0SfNhJVdOHN6Ho3WPC73X8YdH0IAwoNw8rXttuK2VnZPd8/9vM6dn8THnuS4aRhii+VdDh1qIeD9wpdeorjpvvNzmOaYuN+LcGqa5q0cCJhWsonUOHGMCrlbmxw3lV3cYN/kZsomtVIlsMbd7RTbl3QE+uynhlrhEMf8TSHQ53MbMQAjBRBzbPeG49P49HVaryrNkqWpSZ6HUZyhw131bsQunBp3+21r+9wNhrQH/cIXPovA2Hgc4ejRBQDA2dOn0R/QdTz6pcd4flWhm2tRXznv5gjp2HhrwOv68soyBn3TRTmCcYCvuusCKlWyNxNrPffCJWRsV71uB90uxQye7yOJD0iORghIKW4HZwhRkCNT1pO/6evvAwB8/RkfH/4CgWL2u0MMAk6iTNcQ8Dr+2CXSOr7v3IyVAel1Qhxjn1HxBBQ/YzE0jnA3xm3WLZup+biy2gYAhA4QK04mQ2Cly8VmI3EiNNq859/RCodM4dl3rC11WeJGitzu3npmHn/AeYxmNYCLXGsOoMJOmWOby8sJZMlIiUhAGD0vvi9Kw0gtCBs3mLlkYE2F9h+ZbiNL8g6OZmRhH8JliqYqFBAL9qVT8n2aqcsAoLMILie4jJaplC6yxOiExXZVTOO40KH4q48xdXE8xmM8xmM8xmM8xmM8xmM8xmM8xmM8xmM8/kyMr0FEF1Xw0yTLhUBvQxwBJn37lmOEFNhPFMo1yuI7gxgxV/TWYgku6GDEpbf+MMNUlTKWZ5sllF2D05PoMkS7HWtohviZitHQl9CuybZm6DHl59Z2By7DX/c4i193PJxn8VTfkwiY2tE8WsLSNmU4h1x1WesBQ0GZzMFI4S6GKZ581Tugy1QtfuJLnwQAzDUC7Pb5t3aGtjyqRQrt0meXblElKhpFOHOWKm3D/tBWpbp7awBnYQ00VgiZw0CRC/8TBp+RNFlmK9bCIGlQzPBqezzoLKcVFaiPynByhJszUZMob99zQENIogpkptNjpvDZRz4HAJiZnsQopHt5rkbv70UaEyzYPooVFFdR9qUDXxnqIaNeogxVpo2erJfg2wqhgxE/fp1hhJhFInsMtR+VXASGhpppDPtU1Vnd6cJn2kObuWQVLXGmSXZR8h04XHBRFYmpgI63cZMqcZvDFMoj9MNWJ8E3XCDhyOdXEnQ7BN3WZboPE5UAS6ssVr/bh5BNM2NW8D4xVEORCzNnKKPEaENowC2TSKUDsu1Ws4apaaqera+vod+lymUSjwDTsMDxUfK5NZ/gjiejXl550pmlTBDsNafW0o8JKK4AiIIIPFUP+cQOYGgIjKJB/oLSFmarCw0bHpgnf7Q1SlAxnY+iGAl3IV1PJCqsKp8xvTeKFercBONUs4zANdBzDwOuou2FIeItomZ1mUamyx58puYMtMAqC4Xf3Mp90z4jDJqeh5NVsiUhgCMsmtl1fSzv03VVGJmwPUjQZRRnlAjcz2ibqH4UMVdq1gfkbxrlAHtMpYy1X8AZewh5vkwXFzgKWnH1BtJWsbMkzNEPRqhWBJZ+RRB8PqyUyPi41JiAERSWXeblNAm6UfRPAelluuEATs6OLHSHJTrsAdaKBCCkgoBbqLhKEvE0H+DXT5fo/DeGCUoswOxFCRKmxa7FChX+DAPrMIwyzLANnZ+ooMzIAek6dq3bGY0Qszix8U1ZxYfRUu0qjTUWWF7c2IPLvrrD/r0qgDPcIajsuXC4IjndLGHIFe7f+6X/k85xkKC5QDb04iOP4oMfuRcA8FsfeQEf+PCvAgB+90P/EQAwOzmLNRZEf+oL/wU/8gM/DgB4LErQZpT1zjYh16ZmjmJni6r7wukaF4Ot1T3bWMU0R6EGA6bi6EGynak0zGH48dDaqqFES+kDjl3ULHxf+mWLSJWmcyc0Mq7COo60tCGhMzh+GWl65xFdBBLSTPEyi2uOwCG7p9e/foHipvVhhgo3x+mGMTJGYW5oFz4/L2WmeQxGKSpVOu8zrQpq/OwEno8Oo6I2ByMkbWNLjMCq+ODDoqcV1ljc+dbmPjye7y4HCy0hcNrIC3gONKOVk5qPKa5wh7z+RgmwH9LznyXA6+YJMf3ojS34/DC3mM44XfERCkY2bgygU0MF/PIZBChk1l/2GqG3oji//wC4kzX7K+QxlBDFRkqFn3AMEsy57Tcs8pTwq3SdjAJcWDhuze7W8qqlgiglIQ9EOLwwZAYB11K26DzNb0qYJiGvnyU05Wo/RqnKwtxhgojjhdXMQclhRDHHUr1RjGmm41+YrGKyTsdqlH10Mvq9G2tb8MM2/xxLNzhlNKtkb91MY6dD8zQahmgwtQiMik5GMc5w+9/pah0y5nW6XLcdrWNeqBZ7IXrcKfyZy4s4yoyD2tkHsPzYQwCAgJGAjVYNXban7b19TFVYsFwTlRsATIC7snjF+pVytYERUwlHm324PD8qNfQwF1qRTTtugEGPEDKjUYhyleZYI4HkphKjgen+6Vh2hkqGcCqz/LpBkALF9U9Ze9OQ/Kz82I/9bfzSL/+HgxER16BnQxaQ9tpDLqiQN8N685yxpRB+me6dF6ZQvOYtRnncFLBv6g8T+GwfR2sByvwMScdFX5NdrfY60NxAaMh7uq5UqDDCvpMpDFjOZGmjbWOANj9vJSVwmhtQTVZ9xMy2yEoB9kemYRP97k6YImRGTxJleN0sUf4+d20N1QbT+dn2J8seEhbB39+IkPbYb6Q5MldIbsCjUnTaJuYVFgFz9eUr2NlnhL1BK2cjWM60AISxAyHteYocNIYsI7u8/PwLVlVfOh6h5QG8ePkqJvmcq026nnOnjmKVJX7e8pa34PHHHgUA3Fpey2M63OGhFbIkhkhT2x1QFpunIW9s8MA82cxWOML0HLMKUoWM8wOrqQOf9/RlRnN2+wm4mSfOTlZQ9XiuHBddjidXB0O7zo248UngUjMWABhECl2mIy5vtC0deY+fQV8BZ5n5U/Ed2yU9LQW203CcmXgvRZ/ZLFFf4b5puo5HXllDjc9ngv3eTM1Hn5uEDfdHUAaYV2gIZhrqCBfQxldJr7BQSRvz9PYpvnK9Eq9ZYLkHzgOoBCpq8yEqyAfHmU650AQqQw678yx7KI/zc/QX7dcNEj0F3OKxv/IYI7rGYzzGYzzGYzzGYzzGYzzGYzzGYzzGYzzG48/E+BpEdDFNNE1s1RQF/SfIXCvh3/w6oXJWP/X/wSOXFgEAyoFNHCohwUlWzDHCalIpzLJGkaOUFRdPHWn1igIANzpUpTnG3O+RVrYN7KFqGTv7lAGfrJRwiwW/JWfNS560Aqx9peGwqHjd83COKxZt5kGvDBIo5txrmWCvy+3bP/0JeA3K5NYYrRE4Gjeu0/ca1Qb2WMxTRYnVEhn1qQp0+tRJXL30Ep2ETu1caqUsR99kmjWynAcrCgK92oWwSBkAmWmpXGzJXawApYVj8MQrnb9mtG+kB23SzY4PlRZ0Tu74EIBwoLPU8vUFBJaWbgEAlgUQsDbJBz5CPO6fffR/wxf+4Qfo655Eyplv7Xkoc3m1woivCZVinu1JZBoN1h7SvoMm8/h9ofEK6zSc4ApjpDVStqfD1QCbu/T+RLmE1SHPMxtRqSyh+Xd7mUbAvPpzsw2kXL0YjugcVwZ7uHSJREwnp2eRlQwya4hyhb5XZQFiFxleudzneapAmzbmQR2bm6Sn5FdaAAClMngMFanWfKyu0PxNzsyhxUKh3S6jDffb2FwlhIX0fCiLUNEFYWZgYYE0BhT/7uJi38i1UOWpiDJ0TEXKHEpZgXqtYXUDiMMvC/Led24IIeC4JJxqNJWUclEu0zM9HPUtUulXP0htl2988sfwI//br9EBXMfec+0Liz6qlcgmSsMEk2wfItOol6iCmHoOmuybfGhcYd9zoml8k7aPWb0cYIO1BGdqJSyyAK9k1IUjCNEDAJ0wBXju7z06iROzZLsxI0VvdkfwuaKXZBFubRMyb+nyClqzNN81tonA1XjiZfotPZJ5JVn5tork8vWUK3W0WvT8LN28YgWW3aBhq83mHKlabYXZoIyBaA0ZcJVbpdaXWQMRqlDNZv0isGYOL4u6oFsiZA690KYOKZzbFHTu/BAAvNvEybVKbJWLPkLn+ht/QM/06qd+HH/zp/8zv+VY9JJ0AuPeMFmjeZ7IgGlGnpY8gTKjMCPpYIKRPIFWuMzV4BO81sUCyFKj5+db3zRZK2NpQL7JTFel4luh6G4KGJW98zNNKPZNfdb/WAt7ePW9DwIAVh76XTh1QuH0RgP8u1/4GbomrlIvzDfx8WdImvW+82/EzcU2AOBLjz1jUVhghNJ+pwvF86TjYa4ZKCWymM43S/i8/QAOVyezsA2lTdvsAgJQSgjHaAnyWqgUCkrhtmqs0tg25rAC4jqDY9CvcQhhdCplAKUORIqeK9kpVWeN0Cty5WEhla3a/vJvPwkA2HrsJ/G3f5J8k/Q8xKwxqn1Bot8AphpkS1NZihmfkTJKo1wh+xkIB00ugXtQuNImWzrOfixGrldU9n2ss2+aqJSwzppHDscYUjiQHLB1Mw2P17mzsw2rn2rWueXBLlJGyitkWG6zPox0UKuZKj29H0iNp6/0eKJM7ALyD7mQDf9bRC3l86e0gmLf7bJvUplG8VE1Isg6i/P26TIX4LbVa5XY1zTyKrvWGh6jKRJG+ayvr0GwrsrU5DR29wjFI0QuunwwQ0DAQzG+E/TD9v+MRtcv/BbpgK597ifwt36C7MkJXKSMnEHgW9/UYsRXK04x3WRkgNRw2LZCx8XMFNnT67TCR75EiOHvuu8oAGBxf4Q51s0pJcBoQL5lY5jh+Cl6fW2bfMh8I4DL68JIOWDJGtx1qIVhQt/rsU7cjUEEJPSBI9MVPHad5vlUf4BoREigSRagT+MIt1b4mR9k2FqjWGdjadmyEywqWNA+BABGvR07f9KtwDExOZ/XaNDG4SPH6RqWbyBLaD31SiWMWG+3PnEMiuPwNKJnLVL+bc0LYOItKXNGhWHHSDCaCoBK4bAt//Q//hk88PpX4cblA9gyClCsplXO+hCw/kjrxPrZX/1dEkJ/+aN/F3//n/wGfdRzEbNGUBZ4Nh6YYKR8LU4wyQ104iyD9sn3joSHJqP7AqFwldGkx5u5bzKop8D1sL7LOnCVkhUIN4FVteyjXKJ566USDseehyYrmOe57fKebn3UQWI2gCLDao91wIRAs0H+p8Q24QuN51b43o0CSOMLPJk/eqwdGcfa+orTp86ixwi0fq+LCvvjN7yJ1tfnX7pkfcnWzh40DBIMFjWqlbLxzbnzxP65ubiMODEsHNfel25nDynP32F+mHuijIDjv6WlVXS6RrdV4eAajAlmcCiLCpKlhkVQSimhGJH0f/z8x+iaPvrjuPiLnwAANCcqcBltrCFtI4EWr3NNpXCsxejvTCEwMZPrYJbXOVdpvMy6aienyO6UA0SBQaWWsMpNWSbqJdzk+6QTY0ueRby1Iw2P5/joVNXemwGjBJcG+xgxstl1NG7uky8SSqHKDi1gNKMvgUtXh3zuLnI9rqygS2p0SL38WcyiQrwDwDF7NEb4pyPL5oJWlsWl4OVrWpbA6OwZ3a4s2ivET5m1XdKh5b8t0DSC0Qwr7u2kG9hY648bB5roEkJ8M4CfA2Hlf0lr/c++7P0fB/DXQBmQbQA/qLW+9ScdV2sJ4VUKa6yChhFDy+Hd733zYQCAm0m0jWPR2m6+pHSQRkZ4mN6+kURoNTmYUBppSA/vkakmQv5sXwkcqdJnPIboR6FCjSlGHiRc3hT04giCDfjCYVoIVapRZZrIC9sD3DPVAgBUXA89tr3D07RJe+9kFY9yF7Wl7TYqVVqkjp25F89dImFBx+zh4xIS3ghkkYBmkXrP8ZAaqDzTAxdvvgJpDBYuTCsvz3OQsAFr2+vKtbRC6bnW+es0tOhX6Zbtieh0aF5EcZgHQDgSGYv0GrqbFgVqhxAQbpWvo51DbA9k0AZAuoBkmGqWZHB9174fcae8976HOlaG2320jXNRQK3M1yBzuKcRMV3OEsxkdF1JBoCFUI9XG+izAHgvFTjK8FKXuY1JmKDMQX0ABTlBzmGUxgD/9nmG2+pMo8rw3Bd3B7iLBVrLnguzHs9N0fHf2yrhGe7W98rSChTD7b/nL/8lfPxTv0u/59OX0j6oBR5AlEKZQ4EDyRs1I1waR9DMQRkMRihX6RxUmmJ5hYQcJyfofBcWjmB7i56fcrmCrTV+5IW0wrqOVHjl8nP8unnRtRQFQOZJUigIk1y13VUUIExiVUDYzZ2kjmdf1gHkTgytNdI0hRROnhhWIQYsXCocac/zHa9jEd2dDvrmudBANTAbHI2MNwKaswbXwhSHU7oHsdLQ7JtO1JsYsm/qpBpH63RvXLafNErtYlcTHgQvyDd3Yhgt9TNMiXYgUWLfdLkzwumTJKo5VS9jZ59+r8aCqN/2qqN4hkXJr2/vYYZpRUOUIZhWG6s+/1uBwxDrzAV0mjcxyFh40+Gk2amTx+GyL93emkDMNBKhQ+jMLL5WXdTSdXSmbBJDOB6kEax3BMzm1G7+tL4teZ/fr0IXRdMZTQDI8gBcc2KCusYckKgqnSRvRHIhz2KSS6s8ofItD9BGb9AJsc9Bf1lr2wAAEFbs1CD5b/ZjzE2TXxkkEpoTTiena+gNyE/1Mo2FJifk2Z6yKLPU5ZLSmOe1bhgn0BHNzYV5etbTVNnk/8X9Ae7mLmYlXyBmKuuhGV7rWmU89ehnAAD9XoJBtgQA+OjDD+MvvP9HAAC/8ov/EABw+Mz9uPfVdKz+Vh81Tt694Y1fh6eeoI215uSVSgEhcrqnDbIzZUVPYRPTsFRDCLfAThOWvlGpNpBkZjNgPptTWoGS7bAnhGOpE7ZzpxBImHLluoEtZEFoOt5B0IP4+EJoGzdpCBsP0Hs0L9/1TqK299Z3scc2U4JGrWRsSVk6heRNzfUwQ7NFdhJlwF7BloZsS91E4yhv5Eyn2U6UwWP7CKBwmNe5W7sZMt4snDtMVJhRlELyc7/ciXBhhnxoqeRBsC1NNOj73z5dwTNr5HueXd7CTJW+tznsYTSkvz2WqHDLDUjHJDxTu9Gn5PbtdMSiqHyxkKczxybDc+pXnhTTOsv1fKVvE6xCevn6Vvgtxc0OIAWEY3ylsF3OjL1mCgDTUXb39u0xVKYL9ngwQ0PwNZpipc6vARqCBY6/651EQe5v7qHNycBSBmtPEhpJZIqr9O0bcYY5liwYxIDmBPqZahP7vA5FkPi6k5QMv7ZN69BEvYQ93nAfmWhAsPB4nKZYW6PN5d1Hp/gUNXipw+XtLt5wmF53HY1yxvEJx03vawR4dp2SsC9ubuPcIaapHTmCyiWiAvZiitMd5WFmnuQawkGE9u62vTZlktrKVNuVjb1Tnc+f7/u2EGCScfXWHOpcgKjUJxAOaN6TOLQJic7OIprcKKhUIxH8uLMHuBwfKW2bu0ivnndIc0xyNoHjmORt3nqhvbeOC/d8Dx5/1PjLOzg0xeC3SdCoDLZ5Ay26AID3fj3F4KP9AXq8L/C0Ro2TVxJAxLZk/Nkrowz3cnfYMNVwhvRsnW9W0B2aGBw4wnFTmalre6MEjEFARWiAfUsUx3adOzfPca4CJJ/jRj/GcdNhseTZ5PvcFNnM2xtlXN4h3/bK5j6mOQl1U/QwGNAxnCrTLysNOKDz1Z4LnRlfUFwmpH3NzF+n28XJk+cAAO39XXB/IWxsk41eOHMML1+nuNt3gchIhmTaboaFcGwi9OpVSijDKeW+UCe2uZkrJMp1sje3Qvvcqqdx/sJrAFDH0K9785v5WFdw2RzvTg8hIWQJWsdwOFky0ahgv8vUXaXsvvZ73/cGAEB7f4Q9vv6qAGY5UR6OUmRWIJ5taZjg1DG6t90ohcsFhwszdfS4sCICH4eYxll2zTqXdy2vauAIJ15vxAk0x/nn51sAKGYK+MOL7RAnORdQDXyMeM94mOO2901W8fwG+aVLazuY4xh8ca9ruwqXWvwcSR9OwHmAkbC/C+HYPbYoCtCbRJgUsOuc0ggqdD4wXRf7O3b6dRYDXJSQjpPHR1loJZHyD6cAd20nujXHTJ4H8PqnTeLfcaCSAuDFdgR1UQjSvuo4sJVQUEru3wL4FgB3A/heIcTdX/axZwG8QWt9L4APAvjZgzqf8RiP8RiP8RiP8RiP8RiP8RiP8RiP8RiP8fizPQ4S0fVGANe01jcAQAjxWwDeB+CS+YDW+jOFzz8G4C/9qY4sxG0waa0zlExb1Si2r3/gE5Sx/vPf9ALSEcNSpyfhDCmbnsQJ9rj6fYjpWiUpsdKlz144PIMhv7+110eNoZ7NNIbm7L9BKZUyZQXSfN9BhWkxbd9HxG2we6alairQY5RXd6hwzaFs81zZw5CP0SxTVjwUGY6w0Ph//swVlJhK+cKlz+CuC1RNaLJo9/NLETRXNqdn59BBm86t1MTOJgnHaSeHFVoxf8cxbEXEcQzBwrw648qkjiE5c6+TKKeBAQXqjgNbvWSzkgoF+lih9TQUpCmlGRqQQqGyGUAz/Fo4PgSj5tQQBzAEIzM0lKmWypxCBq1YVBb4lQ8/BwD45geOMzwLODQ5Ad2njHqSpegyheJQme1JCKx2KDt94cgMhlwhWN/vo8b3opll0A0DB2WkRKJtx1fhuggYibLneQiZCtg3KLtUgNmM6EYZbvQYml+SGJlqD8gGR47CwgT9xnD2VThylKDwhw7PYOoxOt4Utwl+dDnDqVNUQTt7+jSuXKRHt90docdVUwOJlyJDFDI1TSu0WlQd3dvdQZ1hv+0OwWqbrQb4sUJve8s+r8IrwwDpsiS1yJM0LdJGDHIrB/oJIS39scRV4jhVEFyZV0pbsUSqwR9ca2PH8ZBlkUWVKq0ISg1qkat4vj7wCUK5fdPrn0HKFcajrSY0Q/DiLEWXn79D3Ga95jq4xpXA+07NW8Hc9b0ealz1b6YJwNUkydXaLAstNcT1M8zyJLd7PrplRoJFdKxAOFjvk+23wwxXWdxURhkUo/vOzFLFeH8wQrNM8/6pK2u2Kg8AJxbI3uoB3fsbXYWkQ++7jkBmaMzah5SmzbFBHEkMGZr93m99H37/wx8EAJRLdXRZgPf2Kg7bj0YOCZBu3toYqYVZm2eZEAeGKqSQozRyQdzctwmLUNNK53Bsndl28AcCxNfgSraboxNVllMZhbaV+A98nJpNvP2B56EYbTPRrMNhBGkcpegximC2TOdfcVys9ej+3bUwbYVTV/f7qPF1NZSGYLSpqZAmaQiw4K/0XFR4nnY6Lg4x7aNnRNoBjEJ6vx0qXGda7awjEPL8T/CaNpIuDk3RcX/5yav4Gz9IKK4nn/wUvvS53wMAnD18BABwZbmLaJN80Hd927fjt3+LROpT1UCjQb6nu09NGXTahTCIBmhLG3Q93/osh5tASCGRmeYGrmOXpFLJR6aZ0pJldm201XQ4tzVbMXZYrpQRRlyd5OOmaWapAGmaQHo52uJAhyZ5AG1xGorRjiB4AKNef/G3vgQAeOuFGjK2pelWAw7HUFGYosfXP1Ph6xQCa12ypbNHpjDi9XN5r4cGV7VrWkNwq3SX732cRbktuR4MXmRrb4gZbpDTTg1aH9jjtWA7TOF2yDfNeg5MaDBZagEAhlCYJyAYHn74yRyy72icYQRhhe3g5Z0YmhHKyGSOWNcSf7RarGArz0LkPU6khlYFtDHAft+gP3NUilY5dbV4fIMI05myIs9afxnF2t4u9kd00nxq2gKVyUfdedRyPjQ3HZK43fvxNSCz1/t//SYhLN94uoyU15mJZh0ypOdiFKZIuEI/XaFrrQqBrQHd95NHphGyHe4NR3D5s6U0RWWCbOQIr3+dQYQmU4S6UYJDjF7ebg9wY5mQTJlDa8jZEwso1WlCr1y7iZTv27Sjscfu9twxQmaJoIRj83TcVybugbdLx3ji6UfR8Cj+Kzu05l1cBW7eugYA8HQAh9kJ8OtweH4MvTqL2jA3VcqSfb1Wq6PHlDZDoZdOgKuXSD6jXKnDL5Edp+kINrYWEj1uXKT5qdDJMMfZaQ3BKAohhUVv1eq0lxgNdnDXXYRH2NjYQTiia/vm93wb/t3P/xoGe7u440MIoiqpFEVbynte5RTiX/89oi5+w90NxOyPZps1SPaxo1GCmNe5KZblqEiBDu+3Th+aQJ9j8JX9HhosMl5LY7g1gwpjGYdRBp8XAM9zMMV+bNNxMGskawxFPQNcRd/fHqZwXTqfGUdgwJOfsATFyFWYnaRj/ftHX0TCewkv8DDHbKIK78FutBWiLtNgR6mNJbW6bYJ4GoWlkO1sb2PEMVQp8FGrE/rZoOdX1zvY67B9UdcbPoZCwM9PGOZIwRxzqiB5zcgyZZscaLeC3X1CTFb4OmdPncK1GyQvoLMRXuL9Q7NR+1PRzf6bhlbQjMo3aPt+b4CMY2XplQjVDODf/Aatc285U4fg9Wqq1YAc0TWVAokh73WrPNVlJbDEiNITc5PY5Pi4013FaUYYV5IIzTmKe4e81QizIVLe8zoubHzlSYGZGiPiee+YJRqxbVyQwemSLc35EkZIJlW0joZKYoab/Xz6M8vIDNJcaixM0jlUA7KlK9sRsgHv/6PUrvfCKVsmhGI6tPBqsBtQncI0fIKQ0OznTLOvkydP4eaN62b6AX4dXokQywBUMig0RzHnWIzHHbt2Oa5n0e+aj6WlC+GxH1WR1cYQrp9LJuGrj4NMdB0BsFz4/xUAD/wxn/8hAA99pTeEED8M4Ifp/8b6+ePx3zdutyfnj/3seIzHHzdusyVxkO50PP7fMG63p7FvGo//9jG2pfG4k2NsT+Nxp8bttjTe043Hf/sY5wfG408a/4/YmQkh/hKANwB421d6X2v9iwB+EQCE9Ji26djqltAu4oRF1GSOrDp9jEp633LfHE6ygOUHH7mGPnNpW65AwuTltRFnrl3g5Axlv/fbPaSMFDs1XUfCWeFurDDJAuVGKG4wEjjMFcgrO30ssr5Ew3FshaltxI11hjnW+MpkAxWfNSp8Ccl6C0vbph2sQMx6NfNTNeyw3kVr2kPIGWDNQtLrKyNkLKa6srSKep0qPm9569vx4Q/+JwCwYs2VukQYG90XF8I1CB0314ExKVbp52K9bmCREiKLra6OSuMcTWHEfLM+wJly6dZyBJkroEyVimU/bhcyTZFr0ni5MN0dGl9uTwAhMywSTQJSGA2MvPJw6ijZxdtfNYNjk3SvP/S5GxhyJbcmBXoRZaBXOantlCROTVNmvdPuQZVo7s43qxixhlovSdBiJJLHmf4wSjHJ7ZNf2u7jFrfJrkmJeonO09ix0AozbGPxRMM2Jyj7Lhy2p8WtNh3fd1Fpkl1Ee6t4cmsNAKAeH2DI9hDHdI69wTTeeP/99P1XLmN1jVCBpUrNImSQUcXP9SuYnKLnLY4iDIdkv44jrN7S/PwpAMDCwjHcWiG0heOVoBktqNIUUcgTJ0T+G0aXSysbX2uda/EB0qKCXK7suq6H/sCgf/Jsv04TrgDcmWr37bbk6zQZwivVLAJHKxcZ3+d6vQo/aAEAqgHNzze+agYnWEfkg5+9Bqbgo+U76DPSa4MrkNJ3cGya/NjmVhsJ6y+dW2hhxJXyQaoxwb7JZ8RgGElMsWjm5Z0elln8siYcGxYMIhYQTUIc5mplt1axaIwTs3VsDujkLq9QVbdWKWGdxaWbroc2V/pcldoKvIHlrWzG1p9k2oFV2BUailtt17iiurS0hIBbaj/z1GNIYjrfcNi3mn5WUFzAIjAUtEWeqqhfEHfOhS4NUkIImesHUH9t/jvX3TEBOPktad/XhfqmvsNi9LfZk+NrIQTrQ/D6JB1Iq/ujYez4xAJVE9913zwWJule//ZnrmLI6IdJz0GHYZ8bjPqVnsD5Q4Te7O4PoMs0dxemqhiyLmFvFGGyZJqd0O+OYokJtqeL2wPcZJRWXQjU2SY7pgCYKsyxpls0WUWDkdP1smN1zxY39wEArutitUdV4TOHm/jl3/xFus4wRLXKVfYyowk7Hhy2kV/7wH9Ce4fFoU9O4ZUu2afHFdREu/ZeC6+ElO0pHbatjmRqNHMcaVF60Mq2xY4zYeea9Lj4TyOQCZWLpohc02I0inKtJEbmSDewCFQhc+FVLVLWzLozyK7bbSlgca5cdB7Iq9+ACyi6lmNHaX14271z1jd96PM3MOC1fNJ30GN9wI026+t5Do5PsRhzu2/Xubumahgy2qI7jDHFArke+4VRnKJVpu+9tD3EElfIq0KgznqFfWWEmRVm+bVoso4ma+lUAodQHwBubJMtlTwXa4y0PjbdwCqjnD1kGDLyNHVaAIC1zUGOPM90Qa+k0IDiNj0c+WWv0X004DijwwQoqx9IiPW8om0Es4XjFQ6U+5LbWhLY88hFeKTMzyEz6MIsyzWXhIBSdxa5/OW+iV5Vt52rQYDwWQIAThwl3/S2e2etb/rw529YBMOk76LH6JwNNkfHkzh7lEXDe0P0OMY61fAxYN8fpxozbDslRhsPogTzbHufuraDCf69uVYZdzMa8FOvkGZWpVTCqE2v3X2oiSOMrKiVfBtTv8i6Xq3AxRMr9L1v+4G/gr/+938CALC69DKmJug8E5/ivG9427dj87cIhexqHwnblhP3MH/oGH02pHVzdx84cYxQ9curG0h4TpQGtKbJcIz2bTayKPZRHFn0BYk0m8/EOaLCoKO0sg1BIB1o1r/JVIba5DwAoNNp06HgosmNlO6+6wJcn3zsH3zkE0jTMLfn/85xuy15mmK8QvMHlVktJQ0BwRd+/ATFmA+en8RhFpL/8OduYJjkvinkuGmTkcSOL3GBbSnuh1BGC3SihiGjCtsR0OAY3Gf/3wslaqztdXl7gBX2TSUt0GA/1GW7FFmGFje3ODZVwyTH6PWyjyFr6t7a6vBrAbb6dP/nm1Vs8fm6SDGKTcMPurbF9QHAeyUU1iAhRKHZRFF/NNfyHAzaAICJiZNYOEaNnZ5++hkAQK2c6y4DGi4jyBaOLGBx8Rofw7fHM4gerRJ4AevzZqkt7gq/AT2ga1rdoNj+2//8N+PXf+vDAIBKqYohx+Oe597Rhit/dD8nAZHrQw1HIaoV1ldLEstYOnGEbPvtr5/BhaMUB33kC7fAsm2Ydl10YzrnHs+1G7iosf1ko8jemqP1Ktrc2KnkSzQ5Bq9weNDrSxxqmBh8gBVGI5cgrN117KOlMMU5gRPTNbvOVQMPhjSxtEnnFfguerw3PzJZxybHeIGjEfK6wMsvVlYiq8FFt9OIu+eIPnsGcdfGyoCy91lnMZIhxVqK5+TG9euEWAaoaYgwmmAC6cjod2VQrMurOVcDHdu8glNuWt3CLE2szrfNRagYsE3uRB4iKQDiT9YNPMhE1yqAhcL/H+XXbhtCiHcA+AkAb9Oa20f8sUPwpOeiqgS7N5Sm2G6Abyy1AQBfvLKL0ywaOMw0Mt5AD1KNepm+N2Lx1EYlwOUthjYfaWKK348TjU1OisWj1IqpNlg83A0c7PAxZhtVVDlJsd0focrn0+VkhZNK7DCm8US9hMyIHw4jLLQ4WDQJr70+9tkhre8NUZ2g92fnA2QGbsmIvnN3ncPiy9QNL9UKA06KPfnE5/GN73wv/f2FTwIAwjiGTgzEEzCmIGSGXNC7EMAYQVTpQDAkVEPbjkmAsFBG213BCQB2NirtQnosYqcVpJtTPmCOlpluF/akKNg80OKhhlYZi94FfHoplN3sSJtouXarDQB44noXxznhMMw0Mn5AB6lCmTfiMSceqkGAKzvGniYwzYHZMM2wzfy9cJSizBvAgJMT0nGwx2KCh+tVNHgTutUfos4LW4+dpYiALd6YnqgFECzMuTOKcYQpkS1J398NE2gjJD2xgGj1eTpWe8kyZw5N0O++7HVw8ihtLN1siNUV6h7UbbftvfJtF6gMwy45wCQDpmYPAQDa+/vo9cjuXY+CxvJu2wYu8/PHkLAdb29cs+KDZAQ2q0Vz4jegWPxRuiVLm9Qqsc0o+h36DcpWmu8L+z6/iT9KSfnvH0JKuOUKdVrjZ1oIIGNnnSqgx8K0O/zaMzf2cXKOgrcwU1AcSI4SjWrJ2BKde7Xk4+Vt2rydX5jCJC/eu70IA56j0SBDiam+5l/Xd7EX0jGmGw1UmZraHg4wwTd9n7vIepnGsqFuT9Yg+DqWO31MMSR9m4Xvl3a76PBCtdkfoVwnHzE7U0bEn2l5dPx6w0c34ecrjHMB+VSgVm/R9+aoecj29i7uuou6/JRLAZa5A2qWhQAv3gaWLoS03UCh0kJCw6OgHwAg864wJqmAfFMICGS8+Ko0hhswNNuKzgvYTYPQ0BxUS6+cQ7oPYmimmsDJYea2DxAoYcEiqTdukV09cb2DwywKPso0hOlGpzUqvGkxzTVq9RJe5k5SFxamMclNNUaxwgYnPsNBhpLpnOnlvmmfaREzNR8VTl7s9CPUOHhqsz2JSGGTP3u8HsDnTejOMMERI/rKSY9bu30stbv8dwgt6Z7MH/KRxkxpcuncd6I2lpYWaRpShUaT6IoXX7iYN1ExyYCka5PmWqV51zHHtYku2xRFZVaOgN7L10Djb4QsFoNy6L0ZQgBIC51kzXpqaUt5ZyKdCtvARLgeHOkhTQ+qKu0w9bZYOMjP21zK8lobAPDEtR5Oc6fVTpjAZ18xSjKUeL4MXbkc+HiFu2+ePzGNiQq934sT7HC+ZThM4TNNs2myQkJgjylqs9UADS7YbPdH4CbA6PTIDmquY2Ow49UAHtvz7jDGYRbhHfE6t9oeYo27fC3u9lBv0fnMNgMk/PxOuJxgr7roG+6jyO8XCpSp2+l5uS8o7tjypLfZHDqFjokZKVaDYigwZUoU5t10F5auDxSPxQlSDeR060KyMm9Q4VtKECXSDpIKS4kJrWXekbYgpk6bI/rr5jLFBS8tj3Jqc5zC413iKE6tPZnGI/VSgCUuFi/MttBgOn4nSpGxjfT6MXyOvwPeGEJK7LA9vebIFD78HDW0ePDcNI6yLd/L8/Lc1TW86hRRExtOiimmHi12BjjG9uQwtWatH2KLu6d/6OEvotOjOPv4Qt0+y3WHaWErLyPgeDlJUziFzqyK/cIoNI2iHGxsk+9Os8jGN539ge14rFzuWt0f5aaVpXkDlQItlozEFDLoerLRvjUyr9KwzS+ypIdelxLDygrUV/HI5x4BABxbOI56nZJ3h+dmcf3m2oF1GdZKQwq3kHgXdm01m3MAWFykIsbFlRAz7GP6aQaf9yFhArtexVwgrJd83Nije3fmyASqbD+jVGGD4/TRKLPrW13mYuz7nPWYa1TRYNH43f4IVX7Ouixy7imBXa5SHqsG8LkxUyeMcZyla8Dx2FYvwjbT45b3BpiYJJ81P1m1BcAKF0rrdQ/dNY5pZADbeY46rAAAqnxeSRLZAuFoOITLFNWV5ZtwHfrM17/1rQCAE8eO4ud/6Zf4OjWSyCQ/Q9z/hjcCAJ56+vG8pGf8mMqsQL+AQK1W57neheMVQA8AfuXXfhMxJ4wnmw0MuTgyXFvG1NQ0zwXu8NAAMlqr+ZlwvBqGI5NcUZaaurhE8/r41S5evUAxeC9WcHlvM4RChff/IX+/WvaxyutR0CijxcXZoOxigxPpy5s9lI7Tc9Pge+6XXHR4PzfbqKBZpXuz0xuhzufZ4f0cIo0dbmBwvBFA8n6uHUU4wkXojNfR9fYIq12axKWdfr7OtXy7r5rhQmWp7CEccgmirKFGuTSHXU6sxIcDG9MU/YsUeWdG+1ou9wEprY1qncEpkQ9SSQgdU3wgTAf0wnOtorb9m+JrU7w2cYKEZPuSfh3KUGYLCfE/bhwkzu9JAGeFECcFtV/5HgC/X/yAEOK1AH4BwLdprbcO8FzGYzzGYzzGYzzGYzzGYzzGYzzGYzzGYzzG48/4EEXUzh0/uBDvAfAvQanBX9Fa/xMhxE8DeEpr/ftCiD8E8GoA6/yVJa31t/2xx5S+lsEsbqtWCWFbyeqicBoPrRQe/pffAQB4/OoutrkyI0cjlLiyWK9SVn1/OMQcC81nSuAUQ/d7YWppUecnPFtRW9lnCKLUmGW44lA5WN6jLKtQChnDWx9eomrE2UYFqz2G7Lke3nGekAxX1vcxzxWvtT5lTZ/u1zBzhKrVjz31WVR8urbFW32UGB3U69L77d2RFa6E8iAEC8jrzLK/XJ8y+1EUQ9tW1bkYbxYPAIOWMBRF6RYqRqoA2VeQDqM0dIy8msfZ2MLxqV2ooaL5kHwelgIi8iqmhrDVT6pQ0t8qvPa01voNuINDSE/DnYZwUniGhqkUFP9mpVzGYGDamtJrrivx8L/6LgDAoy8uYY+rzLrfty1kpydMJXyEaRamT5XEGYbf9eMMkuGgFyY9C/9fZoSFL4E5xr2OtIPFvQ6fggLYnv7wFlXjTteqWGdxeN/38PazhKZ6eauDWW6JvMXovufRhGAx8leuP49j84TuubEUol5jJEtGYqRTrVkLJ/39j3zaVpt02rH2X2KERpJkqHBlaTgMkXD79HKtipDpiLNzRwEA7b19NFtEA9UqQ1ClqtDe9jpCFoeWjrQmZ9psS+HmdAwtrPHoLAVSA9cvVBYKVCOD+feCOjKVQkVL0Cq8o+VJ4ZS0W12A1qlFvDm+D5Xakr0BkKBWo0pHbzDER3/2XQCATz/5CnYZ/eJFEQKuJteZUtGPYswxlF5B4vgEU0yjDBWu5N097SHl6uatHaqgtEoS04wYjISHtTb5Jqr6U63jY9epqnxusoZNthUIBw8uUOv0pb0+Jmt08tvsm3716asW+VitevAYNbe6FcHjqs2+oMpdEktornimXZUjOUXJ/v26194HAHCDCvZ3qe4RBCW099t0PbcWrZCo8fEqiW0FW0hRqEDKAhpbWrNwfbJ3rZICKkLb6jj5m9upi9AZdKH9smIH6HglWymP9584AN/ka1maZuFyc93KUhZI3NwgvXj9g8an/u37AQCffPwaNnpkA9UkRYnvSaPGz6zWmGUfk2qJM4xS7YaJrdxfmA4slW+J7aniCswwiivUDlb3CIWlE2W/97FbTCWslbHeJ//oBy7ecZYQotd3Bpiqk81uMa3st6/tYbNDSInAlXjVGaL0fM9f+klsrBOq74vP0r/99gAVRt7dWtzHyy+TGH8cK5R8mpOFI7Su3rxxE3tsT+VSBRGj3FyZIjbPJv/jeEEBIePka53WANu3cDxrLwaBIRzXCq/Wq3V0Gd1ajK/yAqjM6V5ZZsGGjiORJjHScOUAfJOvndIcVWoLFEth0duqgBYyqKAED//rvwAA+OzTV7Ef0gWU4xg++6YmyzV0hzHmqmRLsQbOcNxUtKXzU4Gdt1Wmu1ZcWFsaKIH1fZbbzRQEr3MPLdE6d6JWwhoL87bqFbzjHN3f69tdtPi32+w//9EfPg3DJSyXXcwwbeT6chs+o1Q7MfmmYTu09AedCIvcg3aRNxu4bTbp7cJ/b0f+GTQ67BqVxSGkaY6hdY5YdwqxlT1AgYLkODlFSRTOxDbMyH9awykcS1gbS3sv3nnf5Pjaqcwyaq1AySxuJ0QB1QgASuGz/9f3AgA+/sVLFmVcSRMr+t1gexolKQ7V6XlyPB9lRrT2RgmaVbqX98z4Nq5dZjRh2YWNwyM42GRq/eevbKLKVOYdl+L7hVIJz63QczozWcN77qL45NbeELMN8k0Vjt1+dcnF2QsnAQAf+tAH0GDEzvJWDx7vC/zSeQBAFnvY2CBJiEE/hWKKNtIhJAsqZ6bBgBBAakTnlW1MoVRqKYbG/0qnbKVCov6Wvb/SDWx8oyGsH9IcE0mvDJUywlb6EK5ZAxVU3OZ7Y9BTGuBGGfVaCVpyvNrvwvMDJINFqGx0h32Tp2V5EoQsMc9e3iwGIrdr45uE4+Chf04x+KeffBm7zJCpZqn1TROMGIYQmGHq+yjRONakOW6HKTy2hVONXCFjhdFfgdQ4wvHWCC7WdmmdE0pDciz8sZu0pzvZrGCTGT2+5+Lt5ygGv7EzxDQj3fd5Hfxnn30OmTCxXWCpaxt7kd2T7agZAEC0H0GzpIhKXTimsZGQKDHCfjAwFFYUmDCObTRSLgdIYvrtH/mbPw4A+NRnPo+bN14BkNNW+cA4fpjW6ExLbGzTe2nSLdwXjqX9AEeP0DNTrTVx/ToJksf8WypL4XFTtbvPn8HLV6iRwmAU2zUh7b10R32TkK6GVweEc7t0BdtE4AeIE0PvNDGdg0d+nmKmZy6tYJsZKLU4gmf8kmkoNxpZ+n0EiUmmq+50I0uPvP9oGcbnbTP6C0mKFtOrR1pilfMDSDMIY0uMVjxaK2FjYPZzPt7JtnRzp49JRpDt8nH/6WeetcCrWsUHh3ZY2ujbBn3bHXoO0jBvjpK0R8hR6LKADjXUd+TIZnxZQxQbH/P3VWpjZafUhOL9h0SGjPdrOk1z0Xjjaxy/sLAWmjypxO6fTPMF4fiQfp1fk0hYGgc6yZMI6eZXtaUDTXQdxBBOoGWJeOX4Kp0b7ISZja4eWgdZqpTxL/7W2wEAV1fXIRJDC2IItHbRZOOtSgeTU+RMmoHA5dU2HUMK221DJvk5NPkBOD1VwwZj4Udxgp0uOy/mai+3Rygxz3kYZ/jGU3Q9nufi+jYZu8v40OfbLq6u0yb06GyKHsMGVzd6ODVHgdrqFsEkTyzcg49/4nN0yWkGcA8jFQ1hDFyyRpDrSMSxWfycPDkohN0A5gFMDiUUcJi7DWid2EQICto2ZlNItEUT3csCzUOQNoX9Hug9UXzIzN/5JjXrXz6QzaQI5ojmxA/27OwEvvEb3gYA+J3f/SAMrdNoTSkVI2V4br1Zwc/+T2RPr6xuQjBcutXgIC0VaLp03LJ00OTkRCsArq6Tsys7EkOmZMk47zBV54D87EzNwuZ7UYKdPtnTBkNhN3oRyhx4hbHC15+k5ETJd3GTFyqXF72X0yqeuH4TAHDXcRc7nFja2Y1xfIYWperktwIAkpHAYEDX+YXPfRHhkM43ihOUmJrb4C5amQJm52iBvHzxEnKqh0a1TonYWqMFAOi2dzHsc9BQ0EoSjrR0MpWlcHhjroWhlMIeV6vMBmdEITHBtEmmepY2K9yK7eIJSAg3gI4PYDMpfS1L83D8Ur4RzuKcKgQBlRafF3r2TEAXlDX+3ve8CgCwuLkDyZ9tcELAyzQaTAVsuB7qTFFrBQLXNsjxt0oe2qa7K/9bch1UmeJxbqaGDmuGDaPY0oY2Ivqtpf0Bypw0i1ONNx3jgEsprHFCQ/Bcf+zyCm7yRuJ156cRCfq9a7f2cPIQfe+VAdOL1lMohvnrxAXAQSicwh6RzvH48eNYWSIbPXHqAq6++Cx/NIdQS/MsphGcwLQnFbkd6DzJIKSbM5BgdJJKBY0LnW8QRe73tC2YFI4r3HxhhYAJFpL2k3feNwlXC7cFrVIIr8zn7dv3tc47m2lL80jtddVaZfy9v0j9X5Y2diE4KdPiQk5ZOJgu81rneGhO0L2aCCQur9KzXpISodlQsd1ACDR4rTs3VcEOdwoN0ww73MVxdUC/tdRJUDb6gSnwlhNkF54nsLRHtsON+/DIRohre5TUONICvBrZyDe+6/vwpUf+AADQAQV9U5UT+NQnPwsAeOCBt+H3f/8TdJBsZDcDcWSCyQjg9Ua6LiVHAQi/ZmMFUUwgFEIio4MjXR+eT8FuHA9sDGhsTCkFyYk31/Ft8kplKVymqY06lGyTfqWQpNd2c9NqNdEbhkhHi9B3eDMpnUC71aN8ToYKk2u+aJ0WnhFj/xrSdB0r+fgnP/QgAODWxi4kJwvrTCkrQ6Dm0Gs1z0HDrnMCV9ZyW4pMHMHaOFIIqzl5dqqMvSHZ0iBW2Oak1gYnr271EgRMX4gTjXefJ1vwPAc3WZurxbb2H5+9jpfWKYnx2nMzGLHe0cbeEEeniaby4gpde3czglLsj5SAzji4hpvPz1dIaN2u8yjsvN1GlFCFxJPKN+mGbk2JjduTrZR0NLTq2wu6Zhj2h3Q9xEaEBeL2pBMn7w7ENzmBdiqHbr+ugjYdUapN0sJ8S9k4vNao4ie+jyhSSxu7cDj+qfNGriYdzHNhpSQd+JyoONRwcXGZ1qFAED0bABzWedQaVqP0rtk6Oqz91R7GePQaxdZV3g1ujFKUDP21F+Eu1lI9MdvEWpcSZ3fPUUz0wWs76Feo4+v+6lPIOGl2/MyrceuViwCAiyv02vZyD0i4s6tTArj7c7VaQY+LSEk4sHMirMRCZrXXlFI2fjGbTxUPIVxjm8oWonUW5tPu1gpaufwLo46Nt4Xjw+UOtOVqA40mPQurS1f5WAkUJ9haU/OYmKDYzffL2NzeQW/nJaRJ/wASXdMcz5kCdz4vSumCbiLvMYS0XWrLjSr+1++9j65je9/6pgnW8KpKF0dMPK4EPG6hN1GSeHmFbckVCJlCLuNcJ63Fi9P5mTp2Wdt0mCTY6dG92eLi3dogRWDot6nGg8dpb1byHSzvk/+rs838zku3cHGD/NU9J1qI+Oadu/t+XL/8NADg4hYnxzZDKNO2UQnMzZPG2872DlAoUgBAEAR2PxZFIcolWo/CcIRahZIEd7+K5una9evodkk/aWZ6Hn6Zi0a3bhQ6dML6f6Mp5wUlKDAQJE3R4AJCqzWB1dU1vjf0fQGBapP2BBNVF/e8+l4AwCc++Qnu2ArE7TubhM8TXch9r9D2pPyghNlZ2h/1eU/VH+X72Lljs/hnf+U1NBcbu0hZ82qONb59JdBk1xzAQbXFPgopbm7RMy21RsLXZ+j+riMRMMX79GQNm0zLHkQxtrtkdzss9/Hy7gAl3s8lKfDW02RLvu9gaYfs1STtf/PZm7i6QyCI15+dQZ/3pUubbZw6RNd5cZWOu7ueQvD5pMMubAyuZSH+Le7BzawW9v+FDvf5a8J2kabHk+OHNLTyEcItF4A1HJcjzpPyWaHwXNDEzXV0MwjW35Uch5n3reRRsvFVbekgqYvjMR7jMR7jMR7jMR7jMR7jMR7jMR7jMR7jMR7/fxv/j+i6+F83BKhbQC6aTi9blUb8UZRaAIAys++8/yjAlW1kgNIGFkzZwng0xIDRL0eDEnrcSWJ5N8EgpO+dPz6DS1uc4fZMBUYjZSjfC9t9zJYY3um4kB53P2AkznS1itDQXwTw7DJl1jMpsMmdG6a4sqVKR9DrXQIA9JtVbDLNo9F0IVmwsN+l43/i4UeguCqhIwHBvyuDCmVXAUiusqVJBsc1mfm8B4CUPLco0C50oVIoHVvBg9AFJEFOJROWSuTdlqU1VSWtM2gWsbZC40EFeQq5WFX/Svfzzg4pFJTQ9lx39/bxO79HcnJnzpzFjZtEl4ljcx6+ZTV984OnrPiiI6QVnDQIgjQMMWDY7BHPRZs7Qa3sJBiyEOaF47O4yCLjXLBGkmlkXL17YXeAWRZbbZRK2BtydwpGJkyUSogtT0vjBe6Kl7kONjt03Dm2p0dv3gAcvs5OGai0AABBZR2O5MoC0yd3N/fwjSxe+YmPPmQLyo4jMdmiSmfE17C330bMIr/lagPhiOlxSiMcUsWh393k7wc5jFULCN90zdDQpoOUVsi4Sltiwctw2LEVAGSJhcsiywoVCQulgEHb6GRYqIYruK5rXcAdHUIylVcW0EQFoUbonHlizibtQ7pUSX7n/Qtw+HmSkHC4auOxUaTREDG/NuNLbHGFcaOdQXK16OhUE3uM7nL5PocZ4BV80wJXyhuVEtoR+ZtsYMTF67ZKLpDiMqMieqnCPsOpZxjFsR8lKLO973aH6HKlZ3KyZCsxu1uG/icArniK1Cn4BRRoOEy5XLqB19z7egDA1NQEVlfo+RsOR1AGpcNVRWhAsSC2U6pA3UZbz9G29n7wOqGSIRyf6KNKxTkyVac5/VEa6ncCyShWlWVEFQFAvVMO0jdpFt0X1l9q6diqG3Uevr1hg1ba0vjf8frDVtxXCNgGILbzZKbAmvM45ghbsV7aTRExGvCuEzN4adOsdQzZTzQihrI/tz3CTEAHKXk+NFOMUkZ/Tfqu7RqMLMELa+Sb4AXY3Kfq5FyFO1utbCHkbjuYnsPx04RGC4dDHJkn9M5Dv0NrYZy8BMF+d2t7E7U6VSc7O20rIG0F4aVv/Y1CjgrUcQ+aaUeShXuhtF0rtUZecVTKxgqu4yKLuSuQQ99zPMfSR5OwnR9PK7i8Tnvs5zJIZBGjqUWOBOv2uoRquEOdzf7IEFQpNfar0tgKPdO6z7FDoRGMeZ7e89bTkOAOi460DX+MAHE8HCHhuGnGdSwddWU3Q8jC2+ePT+MSr3NlRitHqULCVd8X90JMMve/4nuQjBBLuFHEhOtgZBCZIsMLqxQ3JUJa2z1UpWu7udu1TRL6owibjBRr1Fx7f/c3GB0qfAjH0DVFoUvmlyO26F9RQG7pAhI0h2SZ+CnL0Toij6FUEuai8Vrb+2FRfkrANp9wC/EWQF2DkVPfjh86jH2movcHA+QIPQET8x7MMFReWWhuoHN3qB3APId2+cspMu/5ujOQvEZIKS0C0mUhcZlmiPi6S2GKLh9qq5MhYcTN+YVJ65sMHTVMFDJ+pp/bGWKa0fSNcgmn5lsAgJeYmdGqVhDy+dQrHnocbzy11kPMYsc+o8O8mdOoMSqw4wW453VvBgA888wnUWcEdH+HJTa0Z32B7wUoVWid8d2cRZFxBzLP8xCHpsOYZ9FUWivr003zJ+nm7AatQTEQAJ0V0V0xhKzdNu+yMmFpjCodIGYfWw4EVm4SCsc06Dhx7l5kBiXnSHiMkCwFFczMAKPOAW0ZNXUozbuGZgVmiWMvxqKsRd4E4T1vPQPHfBbCNtjQBp2iM/R4oVtwfWxzDL66kyBiBsWpuSk8yRTpOUaYjsIUI/b5L+wMMOnm65ziNdZ0bWz4ro3XM53ipTXyTcILsMMx+DzH4Ne32igHBsVfxSs3qclTL/wcWoxO7zJTEIq6IwOAzDykMf3e+TOncOnKyzw/9NFoFFmEspQeItPdTgr0h3TAGjMwet19i3JpteoYMvLx2NGjuLW8zHNpQXOA2StC2m600gH63D3S/EvnzD5IOKiy1M4DDzyAbo/mrFwqWzmTAxlCQrol29yDGER0tUmqEPHaOzlBaMZuf8n64Le/7rDtiOsIAc2xi+aOf9GojzYzLV7drNku0e1RgpAF5F9/bNru53y20UGsAJYPeXF3gBkOX6vlAHu8rxxwE6jJcgmhocyLDM/d4s6Fnocdzg/MMqV2ab+PqlnnohgbTLucnCxB8Hq+u8ExlfILLIYA+WakmEfJmV05Dirfj5NfMt+j9/2glKOK3TKU6aTol/NGUTrNn0uz95dBvt8TjkUxa5UW2HomP9DIUatC2o6hWuvbkM5fbYwRXeMxHuMxHuMxHuMxHuMxHuMxHuMxHuMxHuPxZ2J87SG6tIJOQwg3sBlFURDhgyhU2WxFP6/Sdfe7eO+DxwEA6edDDDj73B/S9yMnwAQjITbDCEdYB2urs4Nz04RieXxxDy5X7UzNrNWsQHJVKR1puMyxffjKKnY4UztVp8rtoaYHzeiwo9MNXFujjGs3UZBcHbqya6ror6DVIJ48/BRMP0egG7ixMgEA2FhnbnQGW6HVDiCZNyucwOqVWT0k6duWsVAKVtxZJRAsMG+F4qULxXpIJJCZz7tprSyka5FNJuMPWRAqFYVKqRDQIrLnBgAqSfNqjuPZiqYWDoT+kzO2/z0jUxJSOHC5aqF0bCuEWim89S2EavrCF74AgFpGG62JOErwfd90AQDw6w89jwFXw7rcljjVDqpckduOQxyao3u5O9jF+Vmq9D2xvA/NAo4DTltPNmuQpgV5mEAyGuazN7bQYxHXKW5RG3gSgg3j8HQNN9ZZ5yTJ4LI9XWKBzbNHJrAXsXBgLcHmLqGt6v4kPvFZrpw3ngcArK2s4JWLJCAJNUJr9gQAYG+vAy5SIeMKpUpCdLkxg3CCwvOowQUSOHx/s3iYI69cvyBAmsHm3lVGOlsAwoEpbwlb0YZ0co0undoquq02QFvb0tAoyJQjGezh9nbxd2YI0GVplRYq+UWBYGlRNYqrbdIp2YrKsNfB+7+RKOYf+OSLCLn60mNbSpTADH+/qzMcm6GK1EtLWzg3Q1Xcz1/LtZgMsmVqog7J1cZolCLUdB8+eXkbPa5ozrNwa9kHBKMFFmYb1pZGEtCsD3aTdUZOHW5hZ8BV96rC1ibbT3UGT91iIVyupKX9BJqLeNT0gew5STJrK/U6Ifd6vQFeeOFZ/r4P36drm52fwdbGIgBYf+b4pVw8W2XWj5EvMcgMWJ2THF6QQXGVm4pC/LwXxFZVxpV2SGhGszQaTXRZk0rKMhxN9n8QAMF8pDmyKBlCmEYeUtrroWYeVN03CJAogvVN/+kTLyLm+9pnUfHMEWhy1W87iTE/S+vJznJxretAcwW0z3M+2arBZwHdMIzgBoQm+Mz1bfRZs3KqQr6p7kgMGGV8aKKKxQ2yke5oBJ/RG5c7NM+n56pYbtOxhnGMgKvbv/eh/4i1XdKb+B/+6l8DAHz0oU9iY4U0rx579EvQLPjcmJhFv02alqYKLVwXYJuHkIDKRY7tfee1S0oJZUuHABQjr/yWVSvWqUZ9ghBmx48vAAAuXr4Kxe2zpVuy7k9qhYiRrgY1oYVj54zQzTQnflCB1goqvfP1Rw1j59o+I8Yn5BdrUJKJfc2s2f29Hv7C20ij6zc/+SIG7DdGrDuaaOc2W5qbprVtd3UXZ2fpuX5qpUtGCWCojY5OFQ5XzeNRCI/XtM9e37G+aZJfa1QEPK4AN2slrO/Q3900s7pDL7Ao+etPH8bTN6nHkRN4yLjS7bmT+NJFiq1y5BZgG62ozDZ70Xlz8y8Dm38l3SwNGCSs0UMSDjKDKkSO7hKOm2vGSdi1y8RScORt52ZsVGUJpEfPfsbacbeWljE7Q7p3w4EuoD0z28TlYIaAgEd+uNDUIw8adb4m3zaJjD5o9/C9P3A/AOC3PvkSRvzRLv+Rug5axq8HAvUSN8rY7+EUN/R54lYHYITLgM9hslmDx35FRwl8jsM/c2PHNiqYmiB7LJVdOOyvDtUCrGzR+6vdLuamyeae2iZbkfIiVliaKklTfP7RzwIAapVJ/OFjhFJl8Cwcqax62ygeYmHhNABgOOxjapr8htwh20yzDJUKXY8feIgjegZHw569lwaFodIEwjVapMiF2qCtcL1wKwWdtlxrD8L4QgHNfqq9v1HQY6Lj7u8so94izeD7XvtGfOyjDwEAXve616Lb7R0Qu0IAwod0C80/pILk50FlOdvCiGJL4do1ub+7i+/43lcDAD74h5esDqCJwTtJgrsCmsuNYR+zHIN3hns4xHHP86s9pCwmv23QyK0aPG7clCSpjaU/f3MHPUaRtyqsa1kr29dmmmWssW/qDBI4HMdfblPc8Lozh/D8ErEbuqOB9X9BaQKP3+CYhPejInWhuWGKgsA+N+bZ329bFKSNf7TGbaLhtolFHid8+jOfBgCcPXMGL7/8EgDg5KmTeOihTwIA6jWjncrIGrPHNuwIlfs/ITwrB6cFrHariWeVSuGVKaZod0Mbg6dphNv1De/0UFDZKN8LQ+dIJimwvU0she0tjhMKglThcIi//M63AAB+46Fn0R7RMRbX2vRZneEII9gvjfYxP08x+FbUxtlZipmeWNqH4v1cj69zeqKOoMwxb5QgYKH4z13bRic0Wrr0W7WSA4f3c/NTZazukF31Rhk8/t5VtqXXnp7HC0sUBwnPQcJrUMlt4osv7JvpoFNPFbRBzGu3gMQFNYBDnj8QUlqWA8mW5kyJL9fXjqIYJdZ4ixINwWh2rdP8uFpDMapeGEaBEBY9R7GGidEEtPFh7FRV2IcMyG+rLLF7Q0d6NjZOYtPT8I+Or7lEl+M4aE00EUYxXI+7jvV7hYCj0G2rkCDRvCH53AvbuP9vfhAA8K9+7OuxxrDACXZoGwLocOA59ANUGR6cOgK7nGDwSyWb6Box3Hl3mGCez6FVcrG0Q3DyhudgjR32Ngt7z1bLmOAHrx/GmGF1u7SbYLXN3RaYEunWZuAmK3ysEpq8cFcgcWWbKD0Gxi4cz1IXhQgsdHNh4SS2NgiOamiKSZrk8ECh8vnTKUHn6Q2exoJYHYqxnc4TaFlW6HxpFuMcikx0P0MDSSwtKD+opgAQYBpkTsk5WOKiBnQM6UgsHKUgJFMCm5u0EG2s7+LmDZ47ZUSDJ2xXrT/43A2cefFXAAA/92PfhOQWfe8w2+C6Brb6HEQ4GcqpSVoAexzUOV5gF/g+Q6EnPImSlwuP3uJuVJ4E9lm0MGIo/clWBRPs4AZhivkJcoZr7Qj7DPGcnqL53g0VMkWBTsMtoesaOpqLSpl+Y2ONEqeVSgNd7tpWKjXhcOK01azB58BTCkpCrIRDSz3TWZQbSZZaQcKM76RXqlHHOtDCktMOc9osXM9C8y3PUMj8uEqgsNIjj6bzpJIVoJfe7TbkBEB2AMlTIQDhcqDJNIY4tElKOkVePJx8M+sxXeczz+3iTT/6IQDAT3//67HOC9g8n+qaFri1R3PRqWRwW+ybAGwy9dANAtvIwgjxNgHUS2YTq3Fjh+6zIzQ6vJkEdwQ6MVHHFM/lIIwx36Jndq2bYCuk4wUsbH99s2M3/0fnWxhGtMC1PKDG/qu9byhaEprvV63aQofFfqUAMk5Ydrq0MM/OHSaxVQCeKzA/y4toFNvAykKXAQuJFiKHVVPSiwMy1y10TTO2lnclE1Lknfa0UxCQNslKaZ/PbrebJ+ez2DZ5OJAhHbjlOrJ4aAU3pVvmDraASjPbQcvuLwuJ048/egNvfIWCuX/8A/djc5l81hwffj91wHkn7LkpvII9bXEXK8d3oVlMecDBm/Yc21VTex5u7ph7qbHH3xtxsuZks4QJXpOGETA/yZv2doaVDgVrvAfBK5t7NsApyzpeeP4xAMBspYYd9kO/8qu/AACYmZ6FNJs+KLtZGI3CvNtvZjpRSivi7/olJLHpcpZBsI/1mPqTJrGVMYD0cspjPIRNnAqJ/pACxktXr/BLGrJk6I+S/B6ANE0hmA5gCilZpvJATkhIKx6d0Bp4EK4JGkKEgMiTKLroN7WwydKccpaLhz/89Aru+oH/AAD41z/6jUhubgAA6hwrrGcS3FsFe24Ct0nXnCiNnYHpsuRCM0VwyMm/pu/C903hLMDNPbYlqbHHiYmQE5MnmiW0uGNWfxijxQLlYV9bGneV6SGL7R5avIltljz0uVNfXWu0WvT37rbpLivtNdOekH20zinols5Z6PZb7OYqACi+z1MT9Ezu7rcLjUhkIZBPbfJKCCC1NB6mabhBYX3I4y7p5E2DJG82TiwcwcQUJSbe9Kavw8c//jB9SwscSE6iMLRQKOrPF7uU3i5mnE+SsaePfekW7rvymwCAn/nhNyNdJj81xwfoZj5W2lxE8TSO0x4HcaaxbezJ86yvHnICNfMkPD/fnN/YNZQqZeOmkBMkF6plBOwjBlGGmSYXZZwSrvHGdmGWbGXu9Gtw/UnyR82ShDYbrWGEGouex336/nDQhWCJgTSMcZ27283OzqLKSds1Q3lrTaPfo2LjaH8fpWqLrkMJKzNip89xCqLyIqdmibzxjk5CaNc0VjBNfnxbFNQQaE5RU4rO7kq+RpoiZKasBMUjj3zO5G5x8dJVNOs+DopWLaUGhJcLS+u8eRUVzo3vNd9IYGLFTz5xC2/60d8BAPyj738TdlZYZJ2/v6mB61u0dtUCjTLPRQaBISfqg0oZDq+bHS5kZW4uTeNKB4u7RjZBYY9paiP2TVONGib4We1nKWZa9Hrc1ljlpESF3euVzV2UuVBU911McHOEOoAGi+bv9U3DlLxLrs5g518XG+QYsIFT6KiLYnIwK8TNdN7r6yt437dQE60407ZD8eLqFqRJagl9W6MEgPbfsWkk4nnICl2HC7Vk+kcILF8ncf2yE+LVr6FCSRxFUPr2hgl3bghAUOdkc/2uGxTAL4CCoQfDXpuhxP7Ox57B51+k/d4v/9g3IVumJPb5Ot2jZ9f28UqHG2oEgDdJ9ymBxjbHPtIPLBtwwDFzKgQ8I8zuObjOovIamY21OAWBE60AE3y/dpIU0w36XrSfYHWfu2hz87yrm3uosPRDI/AxyR3aG66HeoMMrrNnKNXi/2bvv+MtS676cPRbtcMJ99wcO8eZ6enJOSjnQJJAQghshI0cn8PPARtsHvCMeU5EYxAPGwwWKIGQECiHkTQzGk2OPd3TOdzbN+cTd6h6f6xV4dzpESPptme6tdfn0zPnnrND7dqrqlat9V3fBZ0bR5ZLXSR6jMD7DBvs4QbbQCHN32bOYNspitDXRxP08tISUmODC2ebQ2UufdCk7UNbX4MIpKXZgICtGEoplvSujM0PKBekE6ErfvctpEhdLKSQQgoppJBCCimkkEIKKaSQQgop5LKQSw7Rlec5llZWESJHwgR7u3bsxPT8CgAqy5tmhizPeCkzD1mU4Yq9BKfc2aew/0aKhj3xBKGmNCSm1uj8iaEYWULewqFShJQhpPP1NvZyasf8Oqd1pAmGqnSPhbUMMd/v1EoHTSb27TEEhK0E/RxdCrRCe8sA/d4HzDPh8wKna8X5LG64imLwZ+fXoBlaOLXYwsoSe/05uiQQWKSMVhJa0fOfnzxno5sDg7sBAJPnZ9HHqZRzM6fgvLRli9Jy0V7VFZ2zGKusY1OChBSMyIEtkewHFLXquJQQCAuLlExmKxHCeZhdhWSVKQfpv0gitUKW5jh5mjz5cRSjzCSc6/U1G829626CtJ48dQxDQ5QusLy8hKt2U5rG1Vsq2NtL+vTk43QtDYlFJmyvRkDK0ZCRWmz1aWG9hQmTCtShfjl+vo6+nXTd5ZZGjeHtZ84uo87ICuPVDltt9HKZ42EdoLOF4LRxpYLG7AoAYI0jnjpv4pr9lI47s1q3aKNnj7exskT9H3JoYX1t1aaNlkqBRUKsrSyh0kMe/F07KXVndloitZkSLhpHrnjz3umAnt5BrK+v870i5IygFMid1175qQ88dnUGO2VJ8zdA0T2joBvTcfj/Js3RtuNihLs1gIzRRPyN1g5hAm3bJ23EXiDjPlZK4YqdNK/cuKuGAyM0lh95+JT9fZ7TBpWI0OG5Z7RWQpPnk7VWByOcdtvi707ONdDPsJmltkIvoxvOTS1jtcXQYI4g7W+EGOT5ZAwSjXGKEJX7qphl1MRyneamwVoZW7dSe5cbbRu9ObsisXSe3q+dm2QMwdGb9foqJKNHypUqIob2r6xQZHt5aQV79u4HAMxMT+L0aXp+7SHiTCENP5VC5YklFRVSdBNa2qnH6YRL90tsuh+tExyZCzxyTFtgw0NVQGPP7j0AgENLj+FiiFaADEqEqgUAnQCMPhI6AITRLaf3QpoomMKBvTQX3LCrH/kQPc/Dj9Jap2SIBX7/vZGE4s+DlRIyDuUvrLUxwYVVmoxoPj69jht30HtfSTX6mAj+ofPLWGPi8Zz7OW4J9DAyZ0RptLfR2huXS5jnVJEVRkf1VUrYs5vmpo6IMMNk9fPzHcQBlVUXglCOx46dgM4NyT2QKU5Ni0uIKoQyTVuM5sjbROIPYMuWLTh3bpL7rwOTV22eFx7xMemzQdXqrjHr5hYv/c2gKpBbhFBYju06nJt5ICjZMt8QAiVOY0ySDuKodHHWO5tX7VJPtNYOcSQAi6a1czcsYkZA4sA+Sh+9cVcvrudU6fvvJ0LkXOVYtMTMEorXm6Gekl0XFtdbmGAbaIERESem1tHLurTcVuir8tw0uWzJwTWjY0ptgRrrzKiOsD5BbYjKOaa5XPt0k965ShLccdM2AEDcM4HtPC88cO9zWDhPaDRTEh0ycKk5CODMYpeKZ9Dq3etGbonpldII+B5paojtHRKFipK4lB+XOi9tOqIpBkDIaB8eYewwvz30/zNT0+jpIdvg/NQUbr6Fing89PADXrr+RRItQfOxS6GzZPiA971ByGmHPC2Vcc2VpE/X7awh2kL2xP3fIPTTks6AjzHfAAEAAElEQVSwwPrUmwvsZ1TocC0Gf8TSWgtjtuAAr3XTDQzu4rTZlkZfjfpm6vwqGpxGajKXa2mCkPVpXEnMjdJ5WyJlUyHnmSi+deIZ7OT1eKHeQsrIh4V6CQ2mhYiESekRFgEhZY60Y8igNc6ePg0AqJTpWmOjQ+jhAgrLS0tQjDALoxi5QZ4yckvGZTc3iACCiwdplTrkBAR0wsgjRqYKCEDwZ6Gxtjpn34tBcMRl6v/awAhGRmm/sba2bgFcQRRhbW0deW6NvM0TraHSBBrSInMRlKCUQToK+JQU5r+mLzQ09m6nd3ft9gr0CCHWHn6EMl7SLMcM76vGajHadWML51jL6LrLSR0TvH9rM8rr1EwTAzvona50NHprnL1wfhV1LgSleG4Sqw0wiBX9bYXGVmpPVC1jwaREtul99vWUsZULIyysNRFx2te5VWDhLKfKmvlIhnb9UHlu09+p8BHrm1doySDTldK2z4SUnvlDv6+v1/HkIRprQRBiemaaezp2pOG5hqOp4ZRiJRHEpEtRGLt1U+fQtlAIfyUE9l95IwBgy9ZxPPnYPfT8A0Ooc0EAk9i9aSIIXR0EodvHSkBoU3it7VIac0NWL/lZAYgQ+3cwirMnxcHraY769BcOUdv7IpyepfGcIoA2aa7V2FIULDc6GKuQLs2v03cnZhoY3MV2bktjoEZr3gPnVrHGdlcU0rHlUoBBXncnKhJL4zQ2B4Z7sfgM6xIXyeurlLCTbarZ1bpNC5xsACuLbG+YseOjtKCoSA8AKG0LFClTSCBP7bW0Su1yFFeHkLXX+TT37o2e5Lm2vhatMoeEhvYycDxKKYMeVwoWVZanFtlp10kRu+vq3FIpiSiG6CpAdWEpEF2FFFJIIYUUUkghhRRSSCGFFFJIIYVcFiIuDrngxRMhI41oBMgzFx2CJg82AIgQQ0Pk4YxKhEYIoxjzK8Q7pLRDGey/bgjvffUNAID3v4oiyR/53BMIh/YCAPTSSezgqMnwQA29OwcAAI88t4w15phps7f+1FITgj2VPVFseR52DvTiDOd8b2PkwtBQHxqnzgIAFvMMGfNK7Ny9FdNr7LFdoevPqRRtJo88syBx5BniWYGOLBrHODR1HiJrmZzpEiSTFg8OjVjeyjKjPebnF9BqE4JCe2gX4SO2PNXwK3g6lVGw0W/hym47Vi1pyeZkEFqPrModebiJqmpLWweIoAqtTIn3DEIwJ07r8KNa61uxiUL6NNhF7KyVtg8ZSCA36LPQlO6FRaGUyxF+7mf/PQDgj/781/CT33cHAODv30VRpT/+y4exnPD77ReYYE91rVpB/w6KED16bA0rrE99jCQ7tdqCSunY8f4aEo5u94UBznEEYCdzUQwOD2Hm0HMAgLpWkD10jeEdWzDJHEnLTMZbr+QctQYePdzB8SOEmsjSDBmXvI5jJrkPJPr7CRGyvNqw5zXXF2xf9XCUq9FwPHlRKJEZQmWVuJx9RqIolTqUl4+8UYkjDU9bcDxtPi+Ezxlg9LaLEIS/8vgKgm5CeMgIyGagdbKpbDgiKOuwZzsXZujYpnehJmxpZhOZ9VBqWlm+nq1X9eGfvecVAICfuI7ewW//ydewnNK1DoyXMcrR1VolQo2RVY8fX8YylyAuG26vRmoqG6MWxsgNEXQc4cQ6zU1X9NFcUa2VkZwhNGICjYTRfeP7d+AsFxuYYeTVXNJChznnjp5LcPqsKc0RAIaE2bxDUYJKTdQ5QhCQjm2ZGMf8AnFqmNd186134YnHn6A/0mWLTCPeFxOlNBw3wvIraJ8TUEvLB0PIDA+lAVAEyZ/TWAdl5JVdNnwYyiEpfOIbKsZBfydrz1yUuUmWhyGlRMDRsKTTcJE4aAj+bAuByNhFyYRC0Edj7sabe/BTbyeOjJ+4hiL2/+tjD2OZx+muQYlt/CzVcoS+HUTY+83Dc1jiyhM17sKpeoKYORTKWiJkXR4uhTjBiMMtXFZ7ZHQQ9ROnAQCraY4Orz9j+7ZhjnlIzi8xN2CrjjKjU1rhVnzuMw8CALaObUcQ0/dLi6QrUkdYnDNFKuAWQZVbom+kXBwjjC3KCyJCznMwoUcNirVkv3OIKp+PyfGcCIOOApw+CGGjwipPrJqRPplDWZ+yFCGv3alHup9kOXTWgU7PQ6vOps5NMoh1WBvjhpgxFFpkNXWDieDySUJ7SCZl1+w9B4bxD99NyKF/+EpCXv7uB7+GRZ6b9gxJbOOzquUIA7vovg88O4vFFYoGV5mXcLqZIWJ9LQtpud9GSiGOs35s4TYMDvejfZLQeGtpZuemiQM7Mdekd3p2keyj9QCW5+OZ0yFOn6K5qbm24l5pYJ5XOcJeFVg0zgVFByiVTCGGxKIGSCUM8sIUxHDoT8gyZBcaxYiyc6Sxw1TWRmD15oXUwCFTDUfJju1bscxzs5QS6w1GTSw/vulzkwxLOu7bjjxzY0h7bRW+ReeTVAszlwu7lF9/+yj+3g/cBAD46dvI9v7dD34NCynpwt7BAFuMbV2OMcyoz/sPzWNxheaOKiNrlnNt0du1IEa1TO9yJArxNHNTVpi7ctfuCbSPngQArGUZOmzTDV65Hc+dJz1aY8SGrkXocGbGQ881MdB/FQDgqSeeQdYxXKD8QKGEavA6DwHNCNs4DNA/SJkAhtsIWlt0y9DQEBR3yuraKjotWsd1Zuz0FDKq8WfHn0QFpnxkJovlwhEeQb10aAmtYBXf8gSG6O0lNFJY6rFk/ovz0+jrH8DK3CFkSWOT7aZYB+URKrYQRt4Pxh5Xlr9HWBRKBkgzaGHtqt3XbMfff+ddAICfuIHspo99+jGcq1NfXDESYogLGNR6KhjbRcfc/+wSzi8QR+hW5vCbb2fQjMKtyNhySY6UQhzlAmN7GQU2ODyI+tETAICldoKUuR8HrtiG88zRNct22WyzbWpf4LnpHGcnWccyONJ0MzhUBpXwXKAdWkYKaZFTSccUgYq99+xQobTH797nCymhOKNk3759mDl/GgDQSMtUsAQAkFvU9MgIF9FaXiL+NKDLLhdQ0MKzrQAI6fTrhmuvRcb72KuvvQv33fdVAMDk8Xs2dW4SMtKiPMjINeqLIHJrvpSxRSTJyOxHPKQcNGSN+vs1b78OP/qqawAA7zlAz//bf3wPFriYz9UTZVzdS/3TV6tgaDv5Hb7+zCwWlukePazPM60EEetoT1hyuhQHeII5Trcykm7bjiHMP3EYALDUypDxvLTjln04Mknz0jT7B5aSFHGFznviXBuT01wcabVl91jCFJlBhLxpirxJCIsqDu0aZOeUrOHNJdKi9YQIbKac5QiU0qpCuVxCh3k0dbLu9j4ytgV/3H4ogEt9cegvqMxxqplDZdl9J0PHHecVzFHtUy+oS5eko0tGw1BaQVojv22JsIWQ1gjt7SPF27ptG46doAVNRg5iqXQCyRPVj72FKqO8YX8vmgGln/Wki2gzLFmKFHv2kPlWGRmxm7PzJ8mBlkDhISb+7YkkNKe93LlvAmZZaPKxWgPlQdrorTdX0GSjtzQwjGNnadLaPUqD7cz0Cj7zFA2a5lrLGqY6D9zejSdFlcbIW2azqRH3Ern6xPg4rr+OqpJ8/R6qopIrgUadnWbC/geWRQ/da2bXRk87g82KSmw7AmNAighmopNBDJU7pXYwRg9eqxyk0VQMCoLYDsK8eXE2kwgHIANXKYs2yK4tARvMudkMSwfp3bd/H/7O+34CAPDhj38UJ+YoleNdr7kCAPBD123F0Rl6J/uHY9TY8ddKOujrI4Oid3wUs7OkOzNcjQWRxDOTZOCM1spYYGPojdftR5M3BvNPHQcANNMcZa5EtLyyjHaJFuq4fxhTzDZ93W5yhJybX8XvfZpSwVoNhZAnrTTreBscTifNhDUsgtBNdkmn7V6+dKl4MU/IeZYhNTDZtI0gNtUPQ3uOzhrc156+SQltoPEqc84wv4qqdX7lzjjzdNJqbRB5BjbcZxlBBBF0Mgmt2pu7mQzLOurdDa1yq8tbJ0ZxngsbwKsE2bWB5LGVJ5l1dGmhEW+jvn/P3UQU+prdwzh0hnTiitEqSh2TJqaxdYwW4srwIM6eN3MTwdGjaohjs7zwRhLr7Ch9xVU7kLDztn6MnFttpVEdYvL31go6nOaYyjKeOrkCALiBU1/Pzq/gY9+ke7TXnaO7u1NNao8jxAVCQLMTfnDQpghumaD59a1veQt+/Td/ndouMyTGgZA1bSXZrs2Vec0yclVlhQBsaoPySFX5WmkOYVKGlCO2BTznu7kW/LnOVYfJ0wYiTrXorB26KHOTKNF7tdOlyly1LaXcXOz5gm1RjyCA5LSYsD9GTy+NuXffSXPTm67YimfPrAAA9gyUUGXHeqJyDA4QXL53fBznZ2mdOHecdCSsRDg8TXrYVwqx1qQ55rVX70Cb06mXniajP9caMevTWr2OBhexiIcGcYRTUq/aSuv0iZk6PvkopdW01nNbBWtsdALrXJmowykoUvRAsWMllEDSpmcTYWDXf83pJSIIEXDQR0N6lYBduqfZ0Iig5Ayn3BU/4BMu8Jn1O2t71YjgSF21cpUd7Y9AyBuWOIrQMlWXShJJLpHWj0HlzU2em2Id1ibsqKH/6g1OHeN8N2u9tw5qbxQIgWCAPv74m0iX3nLVKI7werV/uIwyp9dnAAb76P33TWzF5PQGXSoHODJLDsveKMRai3TpdQe3o8Nja/EZWucyre06V6830eGUH9k/gCNnaP3cxQ7/U/Mr+PTDNA9W5QBW1pmsPG1uMLSBPbuuwtmzFHhM0xw6c05x4Ts3AUBoBLwmplni/J25S/uQhs4Bwg1cOEeW1spelwIe3a9apR1bPIE28X5qIDZ8FlC88QwkcNvttMl/6KFvIuSx2Fx4dPPnpqCkg55t7Og3bXEE2FS7lMeh9cF02312eQ4F+nfT2Hnvq/YAAN60dwueOkuOhyuHy6hy0ZRE5xgdGgAA9I6N4wxXXj13fAoAEPeEmOKiTyVorHGa2muv3YUmN2SB7aaOytHDFUHb9XU0KqQ7eU8fnjtHujPWS2Pz8PlVfP0INbjZVpC8cc47Xiof2ytaSoRsQ2VJaG0BlTYhY7pfT5UcVknawZYtZKevLi+hyZX7AimQpN2JXVTkh/s0S1wxFShHIQK4fveCH34FTDM3CSGcY8U44UWAWo3m46HRrZidoT1LmnUggyqy5nHovLX5jq7KGKByt4lG4qrPamkDg6aoWBdFhchdlVIpEQ7Qbz/0Skp3f/XuIaxykG1PXwiwfuQ6RX8/Pevg+ChOsi7NnqHU5r6BEp4+RzrYEwWo89z0+ut2IYuZ6PsZXucAhLzOrSyvYNVURy3XcPgszU1Xs1Pt5NIKPvcYXbfVzCA5wAAtrZPI2MqRjNDm9kIL+57EC+3ZpOcoVP48z7pi07+cI0wpBbAzthTHlvpHa2Gnnq1jAwCAmfm6dWCrPPOmLgFYveKvpAAyel933PkK7Nq5CwDw0MMPY26eSN7XZh7cdEcXStRWY1dS4MGkVXp6YwITWepNpw4oIOIIw7upX37qtbTOXd/fg2PTtF5t64kwFpn9BrBnOzmxe8fGcfY82fwnj9C6EpQCHOFqLb1RgPWm0aXdyLhK7Mn7KT1ShwI1Tss/P7OARoXmjOr4KI5MkY7u4qqwhyeXcM+RFQBAfRXQTRN48Qoz8bPl7RzQRj+kF8iFK+jE+qPSllccDtDW2eDZTNb5HDq7XEpodhqqpGH3BBDa2dM2GK28Pb+G9f56xbxseqkIAUNLEgTORssyq4I6nXpBXSpSFwsppJBCCimkkEIKKaSQQgoppJBCCrks5JJEdCEaBrSDwAkRWsJGoXOX1sL/H5nYhgWGtAvRRpnLgLc6dUhOG7j6IHlN//T9e/D4GfL/veYVN+AD/4fKNQ9VBtHh6914cCdGhhghc5ag9AuLqwgkeSefnlzCcD+nYOQZkBAqbOcEefmPnFrD73+Gzksz7UXgHQTQpj4gsOR5ELAeUK2VjSDrnD3TiXKgCRmhxM953Y03ocMlrI8dpRS3dmMFrnR1N5jeg0hwn7nv9IbUHQsvzl30yTn5I5caIYWNVtAJ5nvqfxlWXLRKdTwIbmDTA3Tr+MVBTcQDFOGwJb9dlFt7qAmXK5vBRLorlTIiJhOud9ZR7qNzD+4n/fjSL78Tn7uPoj7vfvst+MMPESGj6EgIjnTv3bkVV19JqY5nT50BAMzNL1lY/tG5VUTsMY9KEr0BecYjTgM6PZvg1z9O7zXPFFRiIsvSQ594xO6GFFd6pPHQ0CbaquicIM8hOMVMQ9jxlGdNi0xSFgkRQ/J7yrPE6Y6MHDrV6pt0EUalXJTXkkOC0D8mSmAiVnnmtdeToOS+N9f19bRUg2mEEAFU2ubUxU1ODworOurdw6l0fjsNalHDIYfM+3Dk1yrNEZpnlQEUlxC+4TqK7nzs/3kF7nuM5o0fffsd+MD/+TIAoLOWIBogdODenVuxfy9FiM9yCuLi0iqWlghtcWxmDQHD6uNyhIGYJoxyhdpwflnhf3yKdDBPPASdErad2kYVNUzKAB1mUFPS6ZhBJqgAKncRWhNtCoLQzsdlRvtEUmOSI2JhGFqItcpTO1fCRKDczRm458GxbbA6tZEqm6YtJEzKqAxiqMyUoReU2gq4Z4ArVQ1oR9Ab9yASpLONxccuUuriEIfUbFgOkscekZtvSCPQGURgUnZLEIymFLFEdYz66drtNF/95b99B+59mNAN7/y+O/G//vhLAIDOegLZPwAA2DY+jINXUsEJQ+I+P7+MuXmKSJ+Yr6PMa6gIgH5+3T19dN9zCyn++xfpHnmSI+9wn2rp3g+vHULniCukC+1mYqOvQgReOXITsSwjYnRE0mw4GL0QgCF9t6E+hYBRrkSw6lLrrc6ad6660zws+gdu7dIqd+WvvWHur402UikCh+iyugcbkayUIlRZ71utJpodzaiJzUd0RbVxAMKbGoW3WHvIoi5qAg9Na+OiEoJTxa69dgAA8JlffBvufYjIjd/1g3fiD/6IdKm91oEYoGO2jQ3iqitIl2amCDUxN7+I2XmyzU4uNFApO10aYuL6mMunTy6n+K3PnaaW5RIi5/Zmnr3AVBNhWAHz4aPWUwFn/iMOJZpsC5mI/jUHrsQzh0hH+3tHsLrMqWJw4870WSg1cuUhIYSnS9ZestBoSBMhV3Dk8B4aQ2ttU5Bcpp+XVqId4rdbnv/d8NAwxke50MzCKpaXqI87K09fBERXrMOeCUC4wkJChE63VG6Jse0aIZUrSOShsIUAgl7qpxuvpbXu4//ybXj0GVq/fvD77sAf/xHZ4e21FMHgAABgx9YxXHOAUDuTZ2hump1bxMlzhHrISr3QOb3rHBqjJWpHxFkcZ+cy/MePHOE2hrabR0fGsLJKKJyhIUq7nV9axvgoITbOnT1v36UW0qJWDOooiEpIGfQUCqDDBRKCsAwd9PDz822FQg+jprUWUDyPV6tVpAm3nde0KIywukqoEIPW4j+sjlC6LF1DWUSyj8b0ij5lCfqGCC2+tjTp+oHTrcIwQpabd0ep2aozuelp1SKIdFAZgZCRRYAoncKiOpSwdqYlq6dG8e+JQ3RBAoyyOXgNpy7+zOtw5Di9z3e86Sb8tw98mq6VhagMk920dWIMY+OEns4atLYtL63iHKPjj82uosJpnGEcYKxK94jM3DSf4Vf/guY/pVw6FbRD1riBrt37grDfCylt+p9Jg9e5QN5yc4xBwwRhhGuupSyd9TXSidMnn7V9Ah/FDrfe+OnEKnepYGZuHx0ZxcLcFF8hBhhBFzF1QKY0rjlA6Xynz55Do852k9CwazOP+yCMkKdMQaNy9A/Q++h0Okh5Qk5Wntr81MV4AKVS2SIihQxsSrxCYBGwOY8hnafufQQhFZMBEFSrqG4h/bh+L/XlJ//FG/H4odMAgDe95RX4oz/4PN24nSAeprn3qr3juO4gIVPPnKZxNTM7j7k5WueeObOMUol0KSgF6A/Zd8F6O7ku8KufJLR7lmTOtoNEV/EbarwtfIPE+Q9EIIhCAQBMMYNMeQV8UojQpMf7e1wzplyaLFQGETlqB7OmSU4dlnHVFsmDyly/6gzaFBoTAprnSWEL2EUO5axS+1A6T6ydr63N4fafIqx4z5/B6J3qTF5eqYsiHIIWEoGpPiWU9aHoPLEdMjxEA6tUqSBjvo7VtVUom04nkXLesHnBYbUHudclOUOmb7t+F378NlL6V26p4olpTmnsIcN8rVFHiV/87Mw62kxoMtZbtjDFD95DhsfUdB38/pGlHTchCY3QJO9awxtQqZlAQtjJJIg8Q545AIIarrySuANOnDiNNht0vbUalpZm3HkA8k4DdrMtI+sgIOdHd34shIDw0sDMBCmEdyxcupZfVQG2IqSyPDO5UrB5l9JwdAUWagqtnFNMugGikzMXydE1gu7qQfB4xrw13d8AGANXe1xSkHYDJKRzaMgKv8ugbAf2rdfvwE/fQQ6Ju8eqeJRTDEPe6CnVRoN5u9JGijXOwx7uidBhA/+3/5JgscdPT7v+Up7yCmH7V1woZcCHPyN3ufecY13qGUbCFSPjUKPE0P56K7NV7yRXfcvSDspsCDTW17oML8cBZxZ3B2OFzx+gtffeI28MmAk7h+U8EYGfz2UrDDlnqracYMJLNYUIaEx1TkOrzYXgy7Cso77dXKXEjCGXQiek7zDhBSCI7TPRhsGdJ0omTc84BTXAac5CwPIS3nBgDO+7hXiXrqvmeJJTZXNOJYXIkfGuT6Y5prgNE72xKTqHP/gqLchnJht2YfRTseBB3f1F0cGXtWdkwUvZ4QUrDeyY0crf/AduI2edA8KmOZZLsZ3HZBTbhS/m1IEkVZ5uaxjeNp1nXgpi4kH2XbuMI0Wptn02qkRnHHbmYVzVRYgQ/f20DiSdDJLf3ercQxfH0VUa5n4zm0KJ3lqVnz1Hm1P2dGLSomANZxnH7iGkhC0Kpoxxav8DEYaQVRovt1yzHT95LW3qbugL8fgU3SOo8tyEHBlXRGuvN7EYUd+M9VWQse78wVfJWJ5dz23b8naCDvPuBEGEPCXDT5rU3TyznIDr62tIOf0NMrK8geMTu+m608vIMpcKZtdF4Zzv0uqg4zKjjaDpE5em6AI2yjpL/QCP8HS7S0eMvmltx7xf5ZnaZgJyNqcDWpm5UCIQdI2M18W8dXLT04OIo2sCEK5SIIlJq/SCE3bpE+SUBqBVZJ+DLuit8QCETF2xwjy3Q+eaK4bw9zmF6KaBEI9N8qafqyvmyKG4UmdrrYFFDt6M91WR8r1/98u0gTy/mFFqKgAoAd02KT0arILo7+vj9oUY27IbALBr50488uijAIDV9TWUeNP2xje9HQBw/333YZ7Ty7dO7ESL6R/W1uvWbvQrUdpqU5DWqeXz4BhdEUHcxVplHA9QqZsfRWj7WErb8d1xEi818MJi5i6F7Vu50mS5hpOniK4jXX1y8zm6gpIOa1tRigO7DnWSxNpwEoL0GbDrm0AOhG5ujQKzaS+hnXBKWsBjrwTnZA7cmL35wDD+7s1kN93YF+EpYzexPsVVibRO12rXm0iYW6hHZJan5z9+7GkAwORcHSZdplKq2mBwEIZIOH2rxOtM7jmhVNJByFUKoXMKnME5EXSmUC5xoLvRhozJeSdUjoyDPVWuFqk1MDJGzqYwDGx13dnpc0jNdc06lXYsd5vqNIHACzJ7wR5XpdqvJGxEWdtL6xzD45ROtrJCzh3kKZh2E3GpCmXW76wJBQHdPrfplA8iiHRQHWZbyPvBBNSkm0NdXFa4im7SpaPrPAPYGaZtwCN11ZgDaR2vt910BX78BkpdvLVf40nyaaHSy1V7kzU0V2m+ajdSzAV03kitZLnE/sdf0xibnGu6NQbSM4WUnevtOFWZNW210i5tTETWBMoTM1fEHtVsgDe9+W0AgN6+AQSC5j9TofrZ587gS5/7C26DtnZRs9Xx+tXM18Lpq1bQytD5CEcDJCOPr8sFmm658SAA4MhzR7DecJx7xs53/KkSo2Pk/JmbmfT2He59ZevPbrKjK9ayPIrtW8cxdZ5skDCIMDhI73lpeQmZl5oJgNLELWd0SKmMACAUwh5eT0xF3GqAkL9SnQDhAF3j+191C953Jf2wL5/HY5NkM4Vc9VUGGmD+7PpyHedYt0d6Yigeu7/+RbLBT59Zd7qtfT2GH29j0c6BmrsgLKBtWrIFyqjQrvFKKWsHaA3H9ZoyBYQAhOED1JlNx4eXkg6bkr3q2iUkRFRxbbMOXeWu7e3FXHVF7VXBVIAwqftmvxdB2P2M9FhpBAK+X9Z4YSBMkbpYSCGFFFJIIYUUUkghhRRSSCGFFFLIZSHforzMy1SE5GoJykXItLDoAxlVbIQlYXLdRnsavT0Uhe/trWFllcjkcihAkDcwCDiq2mpD83nVoUGAI4yPPXsKWU4w5qveuh2NJnknS+xMXV1ro5UYqHCC1QVqw3CljA/fQ9HCE6dXuL0agameEYZdnleDNpQhfVftKSPjtiWp9pAQujsFAUArS9HP1dN27tiGmFOC9uzeacno/+rTfwUAePjBexEwCibPEwRcgUKr3FWwNKK0hx7TLtKmlYPdInIICsfqbtNStBZQhmgbsFEMg0CS0r9Fbj3POk9dCtvFEqHoWbw0DmEZVF1lCJeyFTrEl4hhEDcCuUXDWBe3VIj5udttQ6QJPPzwKQR8zOCtY2gy8XLOUcVOrrC8SqjBWGSu+sn2Cfzyn1BE8hQTZUoR2kpruZ82JwIbnbEkl1q76I4sedE/+xgw/u9Op2Oj+0maA6F5TmW974klj0+QpaYDM5gKXvDIu21amZc2BtV2CMCw6lzvWQoIE8ng60YxBDiV0ofuCwfXd/0e2GiUynNXoTTvQAY97pqbLBbB4aVdOcXOu9BQ9F3qUjqF8oL3GjB9CzOGcgibgxPbfn3y8Dw+CPr+X906jJRRCG3OMOjkylZijJAjN4jX3dvwa3/2OADgzCTDirvGMX3DDXIPKTb0tf2OkQyQVq9UZsaRgDBEmD7ySygb1Qkiin6l7SXEnA7cShILsc7zFINDFKE3lYaIaNWlq5qUEuHNGRSt6n4OQgGbCFK3LrhokUv3kBFF63S6jk6rYQ/sH6Y1YXUOF0WIuNqlG2utsbpGUWYZhAg5mpXzWNFp05ER55lNzxJKAblDOAEUsTVjUmcJslXqj0eflkhbdI9fuHsnOqxP+SrpYSfXWOBKjBEUFEeOh3Ztx3/7C0oFOjHJCIFU27W3XC0jWaIUkiRroJ+jnQZBo3MiZAaAXHlkskpB8XwyM0sdrbRw84mfMqjdGLKpGVoh4IWaChOYfkigtUFCOAJ/KIMO6DjdCsKutFe7rpnUbSktWlAEsUvnCkr2GhYpJoV9n3myBmWipSJET7WMRucixB+FoEVWB156r/97aPuxu1qeGQMduKi+hzgyiCa4PoQIIXg+PnR0Fb+fEurhl9+6Fx1G7mScVtJRCktmnYOGydgc2rkFv/bZZwAAU3OMRo1KLgU56diIstY5MkYkZCD7p91sYpTbuLC4ijoTOpdLFfzU334/AGBgkNAGcRjjYx/7CACg3ljD3t1UmOjUqdNYXuF50SL/JKRNZ7xAP/rSVXTHIQyV9vpPK0vA7fBc3fZWt2zIc/RpJ4RAixHYzdacW/svhghABgIjI2NYXaWxTnMz6cDM7FxX5J4ktylZYQCMjxMKeer8FMpMyNwxY0wH0FwVTkBZO/HRp+ageA38pVdsR5KR7rTrjLhIY7QSei+N1VV0ONXvllsP4D988AkAwNlpnr+VNhnwaLUatpmZym2amqm0CO3W8SDusXNBFJUNAB46Z10JI7QZbahVjrxJ/RNWJiANEtKmBWkMDxOKNY5iKLZLOu0m5ubmu7pchiWbCgaVolJhZHEC5MZWELAoaytK2TXXry4uwx6scZXOkBH6SgBS8XyftiEZgafzNmTcg/ximE2C9m9CSIuyIWoaA3tqw9kWZo5Sdh+iNVy6sBB2/6YZKSt0AJ0aVK2jzXj4idNIG7TObX/dOOrrtC+MGMVTT4CxPQcAAI8+cD8yYzft3ILf+ARRhZyfN7YAuKgN+N26LA+TWuayYiLPdMrteqOQImubNcshaAzis1QqY2aaUEq9PVW02LZ66kmaJ1fqCmGJdKJRX7D6KgM/0cHMmQLakuA7498vLqHz3NKZBIxg01rj0SeP2PMiRloLoZDyuAvY1j549dUYHaPCbvfMTGHbdqJnaTQ7Fl3JRXg3TwTp+NTMPPoYHS6lwPIyjcEsze3e06zdeadtqVgkhLUdBXK7H5OcRq/WU0vMLkKBtEF99cl7HsLK+pUAgF+8rg9tTjtWyzQWE6WxxDZ4SSswGB1Du7fi//uXpwEAZxcYPSy0zarxU8OpddIdQw8HhyQXHtWCS1fWBvmuFLSxiYTssp9ETMfGXCQj63QcKj3PIfjYPPO+9+iFrB2Q1wGYfa50bdAuq8alI+YeokvB0blEbmxb4LiENpNPIInGhq+eax6D30IKRFchhRRSSCGFFFJIIYUUUkghhRRSSCGXhVyCHF2xFvEI5fn6tb8F52BLj//HRiY7NppWLoUYGqJI3uT5SRtNs1wLCKA5910GAsp4Q7McAaMMhFK49iqKRv3oa4nLJKpOIGBU2cmjh/DHnzsDAGi2gMxybJlQs5e7KrwIq5CO79wit5TlqMqzzPIO6VwBmrzpg8PEy9BsLmLnDiJ7veuVr8f9DzwCAOitVTHQT5wCjz3+BACgsb5s+0l1RYCcR9vxUniEqNqVkIZftlY4xJPPZwGfP8cSkKe2VKiJZggZOeJqBNC5yecV9ro6fWGyue9UhAg1gn7IuOw9ly/OE+1/51BrHS9iqb3IkruWK2fvod0AlCtMSFiOcMUuiiL9AHMtdXQNfTX6vdVs4Hc++iwAYHmljUDaywHg6LjHR+OCvcLTMy/6ZTzrWtvzhOhxkQPl3l/AxNa9vQNYWaOIg5Chh5byUVeOS8SPXlvyQo6aZM1piMgQsOYeeXQIaZBAChZlGER0ftpes+NCZW2bmq6yOkRI+m1RF0HsBb+996cBZBmgZqF1sukcXWFtB5FZ2nEhXY483NgRgYlcO2SKEAn86DwsZx2jdXJv7AnhEEfSQ42FElfuoKjeD99OutTOSxjopb5vNpv4vU8dBgCsrHQgRdU0nu/l9FN06at3P4su8p8+8wihBQyiT+eGxLKNUonmqyRVrqy5cmStu3btBgCcPnsWliZLZa7oiHSl2qs8dlqJxwGnHS8FdN4NfrCNNfO9sNFjnWduDGsFzXwM1SrpVKZDy9Uz0N+HdotRl0kHituTrR26KBxdiIa56If5NndE1VJA8PNI7qM8TQgxAkDotouKB7HjNxIGmZT6ITNX3EQ5PjbZU8a1u2mNe9dttLYkCFFl0vCk08GvfvgpAMDaStuONbc0a/t+iPvCRwaaNYXbGwRWv4MggmJ07LZtu1FmfsCTx07yud7aj9zxzmRtG+2z40dIhOUBbo1wkXfARnK7yIxtXyuLDhdC2ntqlTvejMBwUHqP09WXmW2bnRO9cufQugt9CIiLw9EVxjrqnWDUmXkHHu8evI/+uPZboe0kA8ftZRBtOUTk1kHHNQjbF0oluHb3AADgXXftAgB0IBDzPJ+lCX77E08CANZabg6VZbZ5ElcGXmUen6HSuOqqGwAAgwOEEnz28GG85W3vAgB84YufxVVXUrR9966r8NpXvwkAcOhZQmW84q47cd/99wIAPvShD9n1dWVlBcogHSyfnzLUSMizzKGwRGBR3tLjqOmylUz3KcdnKsKSm1cvyAcqvK8cf073S3IyNkb8Vbv37MfsDGUSHHvq4xepUMYIZFjB3t3EwSZEjrV1Qi2s15to8Tzpxpa2aEHhaOkhoCC5uEHOSHEZR9Ca+R8FHImyx/uipcI1ewcAAO955R4AQKl/B3RKbYBK8Z/+zwMAgEYjR5qYghUOmW9RWjKwa53WytoqPYxGXVtf99YIRzaudWrXHAa9IG1rRAHbN5lCzujPm265Gy1DTM+ol0AoHLiasi2GBgcsL+kHPvA7sNxmHnLJdFqeriOuEO+Q0Apph9BIOnfZEOZ8GZa84hiAtpxpGqUeQkhbkncdollf5e5rI+JCGVu27cTy0hIaK0eQp5tbKEOEzB/oZXLA5/H1H/x5fIcb7BChoBgt6orJKASGU03AXos4igxnkcY1+6k/33g9rTW1wS0WQVeONX7tw8Tzt95wmTWOdN41UXtoGuI87kaTE9m5s/8M+CtrKYvkCiXp38S2XagxD3S7k6KX+cPW6g001+idG11Kkgxt1oORkVFMnqW1ktByZu2H7T9r26kcueER054dL4RDEHF7BBQUr+cyCJ0NpRK3API5gQywZxftTedmz2L3HpqDZ+YWMDc7DQDI60c2l6MriHXYMw4BbbkUK3HZ7YOCEhrrK/ysG/arAGRUtiTuQsbOzGBdknHsMsmkhoj5upUQwqxTnTpedesVAIB3XzcAAEijAfT1GJRogp//n98EAKwsdLxsG8fFa/qd9lemj11BGLen1MQ7Z55Hm8J0OZThODUINN9mkiG0QYdCQ0S9/LVB+Tm0MnEEchuTVbtXMETz2lvayBDS7hpW9ZXjXLZDWbrMHCHhKukBllDWcj2HlpNQiNDbo2Z23dXp9OVERh9rWR5jw9NsVFIIM1Hn8Da2ZiOYW9jo4NCYNbze+YM/hHPnTgEAvvZ1qp6QZwpp5iYpLYzyZXbx8wlme2t0rZXVNkJD9J4lEIYcGx3Lp2YnGUiPuF1BWvI212TnIMossblGiDimhafT6qBSGgAA9PeSki4szCKq0Hd79uxBH1f1W19fxaFnnu7qxzCKiBQeQJ4qmyZCqR+s1MYY89I2hAgsNJrShvjhlHIbDJuKEbgqacKlsKmsZTcbkgeYkI4kXedu06xVAuSmcsfCRTDYYh2URzyCWd5ce6kKZvKw6ZS67S1wGbSFKecedJQnEQHYTY2CTVMTIoAM3OJirtc/SO+3Xk9tH6SdjCrg8bH+Rgyg92POVypDIJ1R7kj1nePFe3hIXsDCsIrOOuOIbVWM0C6ipUBB8XMkKrTOqZxTByo9A2i3m9x/iTNSoB0RKF9XpQ0HWdW5nQDjuAdp7vTMZizyWEgSr7qaFt5Clbg+lmXbJ26vIBxhI0ApL+nMRageVNJhbTu33Q5k+7v20mOF5I258o0eaRddY4rB+4u+co5ld2nnCRGB67caV75bXVz3bBcBKE+3fYg9WD+swe97WHT3YgbjBDMX7rhpV0ro3BQHMJB3ZaHHQkhvfsud08tLtbGVaD0HqtbKkmLmHhG5TY3NHSyddNs5r+xCbee0yBlmSjmSehG6BZd/j+IIKTP0SikwwBUJX/eaV+ITf/kpAECy8sRFmZtEPAr//Qu5wRlvgyTOkaddZRb0sJGcZrlNT+lw2qfSCbQ2jgrtyD4RWHJSrTXAa2CN0+LXVxM3fjMJnbnN9/MMaqm7Urxc+rfnBPDIk81coVWOmKsqDg9tx8rqCrU9MfODgDIVfYIIylT66dTd+sPvP4grbnMnS14gDChVGKpvKtBo5+jSWWLnTyEElKmuFkZ20+vWKS/4Abe5EVJCmXtrYyBLu5ZsrOgJLZG3Tl0EMvoSk9FLOCdb6h2hvQ2yeWYN59RWnqHsnMTuWgACE9Bz6UGAVxlUuPWv2mMKl9RtwJKGqbemxaYqFK+7iW8IC0/3hU2RNuO7VK6g1kub+Hf80I/ghuuoUtjU9DyWOZ3kjttvAwDs2LELP//v/g0A4Njx49i9h1IXS3GIpUVKHzt+jAjx8zS1lfzi2oi3FjuHrrXtqDP459zNNzqETRXyORs86fpKX+gPr/9tICWxNlQYCPzbf/NzAIBf+tkfuyhVF2VlBAIaZQ4Atztt9NbISbB330E88fgj3FITRHaBCHLA+2kr/DQ8f+cqceuQ8nTInstX5G7oG6C5otlMbGqMyhK3Ycw6CG3AjNP444otxgLAW7NTO/+99nVUsGB5aREzc8RWPjV5xhbQ0CpFzE4Uk9IutEath1La41IJK1wV7+Ybb8XAIOnkU09RcEBpbdO4duzYiSWuDj+/OIuEqS7cxjuC0RuVpojYORiFIZr8THGgkfNaFjCZdJ42PJ2UbC/R9WzhjhI9Q63W6wI57QYitv+GRydQX19Dc+UY8myTHV1c2ICCWjzWMzfWZRi5CpIXGBgiKHcXwrK0J46aQPLap4Ww75mC6M936vT105q5srxubyhF0FXxPgiZQsPsf/zKl0HokXMHzgGm3VriKp+7Igd5J4PKqA1jo5Tyd+PNN2NyktIV77rrVZg6Tw6iL3/xswjYRupne6TebFn7oNZbxRoHpjutVRjicecg6TIg7VhTCt4+R7mguFf9zogUQI33nqtray4gyc8bRSFKnJLcXFvA9l176XOzjjmutKsaz23q3CTDko5qW5FnLoinvcIFMvSCSnYNcxUqVdqyHusgiNzuyVaXD13xgFB7CpkDvWW+htsfTowNAAA9r7FTE7f0ChUAwlCT8N0yV3VXa49gXnkFGIyZJdwOD9pfewSENraUVUD3u1dpUwQlZ3dlpiCHQNqidySiXntDlbahTQE/V+Kxa09qHfMqh+D9JRWH6g6mk36ZOd6j2QhCr5CU9q7l6GD8/aNZD1R6riCjL6SQQgoppJBCCimkkEIKKaSQQgop5PKWSw/RJcQ8gDMvcTNGACy8xG14Ibmc27ZLaz26WY0BCn16EXK5tq3Qpf/7cjm37XLUp5fz+wJe3u0r5qbny+X6vi62FHPT8+Vyfl8XW4q56fnycn5nl3PbNlWfCl36G+Xl3DbgIs1Nl5yj6+UgQohHNhsKvllStO3Sk5dzvxRtu7Tk5dwnRdsuLXm598nLuX0v57a9VPJy7pOibZeWvJz75OXcNuDl376XQl7OfVK07dKSl3OfvJzbBly89hWpi4UUUkghhRRSSCGFFFJIIYUUUkghhVwWUji6CimkkEIKKaSQQgoppJBCCimkkEIKuSykcHR9Z/L7L3UDvoUUbbv05OXcL0XbLi15OfdJ0bZLS17uffJybt/LuW0vlbyc+6Ro26UlL+c+eTm3DXj5t++lkJdznxRtu7Tk5dwnL+e2ARepfQVHVyGFFFJIIYUUUkghhRRSSCGFFFJIIZeFFIiuQgoppJBCCimkkEIKKaSQQgoppJBCLgspHF2FFFJIIYUUUkghhRRSSCGFFFJIIYVcFlI4ugoppJBCCimkkEIKKaSQQgoppJBCCrkspHB0FVJIIYUUUkghhRRSSCGFFFJIIYUUcllI4egqpJBCCimkkEIKKaSQQgoppJBCCinkspDC0VVIIYUUUkghhRRSSCGFFFJIIYUUUshlIYWjq5BCCimkkEIKKaSQQgoppJBCCimkkMtCCkdXIYUUUkghhRRSSCGFFFJIIYUUUkghl4UUjq5CCimkkEIKKaSQQgoppJBCCimkkEIuC/mec3QJIQaEEP/Y+3urEOLPX+I2VYUQnxZCHBFCHBJC/Gfvt5IQ4qNCiONCiAeFELv5+zcJIR4VQjzN/3+9d84t/P1xIcR/F0KIF7jvW4UQz/FxP+t9f68Q4gn+d14I8ckXOP+f8LlaCDHifX9ACPGAEKIjhPjX330PvXyl0Keu+14sfRoUQnxCCPGUEOIhIcS1330vvfyk0KWu+363uvSnfP4zQog/FEJE/P3PeOc/I4TIhRBDm9NbLy8p9Knrvi+kT28QQjzG+nCfEGL/C5z/Le8jhPhXG+ety0kKXeq673erS78ihDgnhKhv+P5fCiGeFbTOfVkIseu77KKXrRT61HXf71ifvpM2X25S6FLXfS+WLu0UQtwjhHic56e3b1JXFVLIxRet9ffUPwC7ATzzUrdjQ5uqAF7Hn2MA9wJ4G//9jwH8Hn/+MQAf5c83AdjKn68FMOVd7yEAdwIQAD5rrrXhngGAEwD28j2fBHDwAsd9HMBPvkC7b+L+PA1gxPt+DMBtAH4FwL9+qfu30KdLXp/+G4Bf5M8HAHz5pe7jQpde9rr0dr6HAPBhAP/oAsf8AICvvNR9XOjTS6dPAI4CuNq7/x+9QLtf8D4AdgD4PIAz/rx1Of0rdGlTdelOAFsA1Dd8/zoAVf78j0ybL8d/hT5tjj59J22+3P4VuvR/RZd+H2xDATgI4PRL3cfFv+Lfi/33PYfoAvCfAexjz/Z/E0LsFkI8AwBCiJ8SQnxSCPFFIcRpQQiTf8le7G8KjvwLIfYJIT7HXvd7hRAHvpsGaa2bWut7+HMC4DEA2/nnHwLwx/z5zwG8QQghtNaPa63P8/eHAFQ4UrAFQJ/W+ptaaw3g/wB4xwVuezuA41rrk3zPj/C9rAgh+gC8HsAnX6Ddj2utT1/g+zmt9cMA0hfVAZe2FPpEctH0CbSwfoWPOQJgtxBi/G/ohktRCl0i2Qxd+oxmARmJ2y9w2HtBTrDLVQp9IvlW+qQB9PHnfgDnN578Iu7zGwD+DV/rcpVCl0i+K13itn5Taz19ge/v0Vo3+c9v4sJz1uUihT6RfFf69J20+cX3yCUjhS6RXExdelFzWyGFvBwlfKkb8J2IEOIPAXw/gDmt9d+YxiSE+FEAvwQarMcBnNBa38i/7d5w+LUgz3qZj/23WuubhBC/AeAnAfwmyLv9D7XWx4QQdwD4XdCmy7/n60AG8EZpaq3v/hZtHQAhDX6Lv9oG4BwAaK0zIcQqgGEAC95pPwLgMa11RwixDcCk99skX2Oj2Ot6x92x4Zh3gNAzay/U3kLwswCuLfTpourTkwB+GMC9QojbAewCLcCz3+Z1Xu5S6NKG63rHfUe6JChl8W8D+Ocbvq8CeCuAf/Ktzr/EpdCnDdf1jjP69H4AnxFCtACsgaLmFzr/gvcRQvwQKPL+5OW5h7RS6NKG63rHfTu69GLlp0HIjctVCn3acF3vuO9In77DNl8OUujShut6x22WLv0SgC8IIf4pgB4Ab/xW5xdSyMtJLklHF4A/AvA/QJ7tbylCiCsA/ByAV2itl4UQt8B50y8k92it1wGs8wT0V/z90wCuF0LUANwN4M88w7a08SLsGb/xRT2Na2sIQhj8d631yRd5zjUA/guAN38793qR8l4A/+siXPd7SQp9cvKd6tN/BvBbQognQP32OIB8E9t1qUihS05erC79LoCva63v3fD9DwC4X2u9tOktu3Sk0CfgXwB4u9b6QSHEzwD4ddCm4MW0pwrg321yey5VKXTpu9ClDW37WwBuBfCaTWzbpSaFPn0b+vSdtPl7SApd+u516b2gdMdfE0LcBeCDQohrtdZqE9tYSCEXRS5JR5fW+usbvfZCiH0AfgfAKIAmgL+nKc3p7wH4Ha31Mh+6+DdcvuN9Vt7fCtRfEsCKiR68kHyH3v/fB3BMa/2b3ndTIA6QSZ6A+s0zCCG2A/gEiKfmhHe8D3nfDmBKCLEDboL/PRBKZsfG47z2j4CgsO/0vvs8gHEAj2itv20D7ntUCn3Cd6dPjNr5O3yOAHAKwPeiMVfoEl68LgkhfhG0HvyDCzzPj+HyTlt8MfI9rU9CiFEAN2itH+TvPwrgc0KIAMCj/N2nAHzgQvcBsA/AHgAGzbUdwGNCiNu11jMv8NyXqxS69CJ0SWv9Cy/48NS2NwL49wBeo7XufKtjL3Mp9Onb06dvq83fY1Lo0nevSz8NQsBDa/2AEKIMYATA3As8dyGFvGzkknR0vYC8EPT0SgAQQtwPIuv7NQC93+lNtNZrQohTQoh3a63/jDfe12utn9xw3Lfl/RdC/EfQhLdxw/8pAO8D8ACAd4HIkzVDSz8N4Ge11vd7950WQqwJIe4E8CAImvvbWutzfnt4gr1CCLEHNJH+GIAf9+77LgB/rbVue9d+y4t9nu8hWUehTxdVn7htTU28Ae8HIXQux3TaQpewObokhHg/gLcAeMPGqKMQoh+ElvhbL7YPLlEp9AnfUp+WAfQLIa7UWh8F8CYAh7XW+cbneYH7PA0qvGKOOQ3gVq315ZYaBBS6ZO73XevSt3iWmwD8/wC8VWt9uW8gC33Cps1N31abX2xfXEJS6BIuui6dBfAGAH8khLgalAY6/2L7opBCXlLRLwNG/O/kH7xKGwBqAFoAnvD+Hebf/hrkIY9A0ddzAP4MwDOgam7+dX4KwP/w7nEaXEXJ/42v8zmQB/1ZAL/wXT7LdhB/2GGv/e/n38rc3uMgUuW9/P3PA2hseOYx/u1Wfr4ToBRP8QL3fTuoGscJAP9+w29fBRlc36rd/wyUB56ByAn/F38/wd+vAVjhz30vtc5cRF38UKFPF1Wf7uLrPgfgLwAMvtTvvNCll70uZXyuuf8veL/9FICPvNTvutCnl16fQKjAp/n5vmrueYHz/8b7YEO12MvtX6FLm6ZL/xW0zin+/y/x918C8U6adn3qpX7nhT69vPXpO2nz5fiv0KWLrksHAdzP5z8B4M0v9Tsv/hX/Xuw/ofWl6eAXlLr411rrawVV4HpOa73lAsf9HoAHtdb/m//+Mshj/vD/1QYXUkghhRRSSCGFFFJIIYUUUkghhRRyUUW+1A3YDNGUxnRKCPFugHh8hBA38M+fBPBa/n4ElMr4vcjvU0ghhRRSSCGFFFJIIYUUUkghhRRyWcsl6egSQnwYlN98lRBiUgjx0wB+AsBPCyGeBHAIwA/x4Z8HsCiEeBbAPQB+Rmv9vUjIWEghhRRSSCGFFFJIIYUUUkghhRRyWcslm7pYSCGFFFJIIYUUUkghhRRSSCGFFFJIIb5ckoiuQgoppJBCCimkkEIKKaSQQgoppJBCCtko4UvdgG9XZBDqIChBSgmqAgukaQIqFgEAAkrlzzuPD4WUAfIs4281AHHhA79tEc+/Fi781bf84Vsi7HR3+zYeKrzvhH6BH77FuS/444W/AkTXeZVyAABIUgUAyLPuo6U0B2sopfg7OkcpDcG/a61dP3T1R7agtR69UEu+UymXq7rW24eenh4sLi0DADqdNvIsBQCUShXk/CAG/ShkAM06prXG7t17AADtdhszM9MAgDAMvXPMcylkmeuUKIrsMT09PfwtHSsEkKbUhjzL7L3DKEQQ0LVbrRYAYKC/H2vrdQCAUjkybjsgoJW296a2O9+25nfg5NtHd5rrlUol+06TTts+RxDGKJfLAIC+/n4AQLPRRLvdAADEcRkB91WeZQjDgL+P0agv0XO2qc/yXHU10Yx/6httvgQARGGMbdt3AAD6+3uxuroOAJiePo9OuwVAQWv1nQ72C4qUgZYyRJ7n3rgQdsh297f2fnfNMO/pwvOD6Pooue+Vd13STfOXu5YZZ2EYWv1QeeZd80LvXkNIejfURs3n+fOruOBH7/Eu/Dz+cz6vCf77lBuu9fx2xnEJAK0D3f1nrhGgWqbn6Ni5yZ9L/Wtq21fj4xMAgKXFJaR2TGk7FrVSTgdVsulzUxhGOorLyLIcWZ7yUwlo02Eq956B//+89cGbRzeubQIb5lf5/GtAeO/Ku7Bw80gQUH/lWdZ9TNeNNl4X9rqCr6X98563fF1gwbIDS8Pp+gWe50L3fkHxztcKQgT2e//KPRXWp4TGQpZ7faIFhDDzrrum8NaBC7ZLa3pWlW363CSE1BAXMvfMU10g5rlxPHcNl+cNcOBCc4iQ6NZB+cLHfsubb/wO3b/bQ1wjzadypYo0SQAA2Uaj5HmX8mwPcaE4sD+vXMCuutD1LtR07/senpvarEv5xuGGwF3CV3l0z8vQuZ2buvRKpZs+NwkhtRAh3c9fAuyaDDzvvXWN4Y0Kpb3PRi7U//55ns19wfHt+qZSrdh1y8w3eZ5b20557z2KYzuXKXXh9yv4ukEY2vFsHk8p5c0FGyeyDS/Xt1265jTvMV+MXSaM3ShRq5C+tBJvrevqJ7Zd8xxuzu9+uhe8r74Yc1OgIaKN2wno5+nLhj/99fuC/XbhucnOw13Xu9Dcheep8AX+uLDw9aSUz7PpvuXbfN5au/F3cynfEPbHybezzunuPzf+IYDeCu1Rmgnb4F3TZ9fAhzC6bZ5BCIRhZA8NA7f+GJu1025s+txUSCEb5ZJzdAVBCSMTB1CtVhGwo2B2+qxzbokIjfVVAM40lVIgCmgyKFf7sbo0T8eqDAjMYKXfRRDhgka6xgYjbYMxJASkiN19NS888kKTbQC3iPsbPW2fw3MJefO5gpCBPc9unO0aFtDmBwAC3yngz9g8U2nhme7+ZlvBLIR+u7XizYj22oPQOU6kwlUHyJFxeqYNAFhd8AxQSNRqzqHRbJJjplobAgA0W22USvR7mirkip1LacstYtn8GWyy1Hr78APvfB9uu+12/OlHPgoAOH7iKFYWZwEA+/cfxBI7wBLebJbLPUhaa/QseYZf/80/BAA8+9xz+C//+VcAACOj4/wsbUhJetrpdLDEuiegMT6xjY5J2rjt9jupQaxPYSAxO0tOs5WlJXbmAiOjwxgcGAYAPHPoGQDA97/tbbjn6/cDANbWG1icPw8AkDJEu92he7TpncSVKiT3Z6vVcu9HZW7x1Ob9S3QtZtI7lr8vlclBt3v/fjQbTQDA2RPPwRjnAyM7sH//AQDAW9/+fQCARx55FEcPPwoA2LV7P/r5eZYWFzE6PggA2L5jOx6+j97HM0epz9aXW8gzMz7cIprmGTSvwMZpNjKxA7/4y78JAHj7970On/3c1wAA/+lXfh5HjxyCztaw2SJliNrAdqyuLAHWsSSsQypptgHhO9kBIEBUYmMAAkmnxR8DzyY2XvoIZmyGcYiYHYhtdngCQFzuRadjNtb0zrWO0dNTAwAMDo1haYl0u74yR/cBNhhY/FnlKFXJBokiAaVJ/xtrDXeciNxp/JwSmjYOgDevBPZ36Bw6T/jRhJ3TdGb0Lgc09ZMIe5yDORTQ4POUc2xs3bkPAHB+agpJ2uCmBHaTEsY9OHhwBABwYpJ0dHVFe05fBTMvktO5FwDw/v/XzwAAPvyhD9uxqHWONKUxlXTaiCJ27q+f3fS5KYrL2HPVrZhfXMby4jQ/VwilaZ3J26uQkTEk6TtyzPBcrXLr6IZKIaMNy70A8tToo4IMSUdkEHkLkIDOjR6Z66YI4qq9TG8vzQGry4760mwqZSCss0iEJd5c0bqoUtLbIKrQdfnadC+3xgoBu9aZNUsggAzomZXKoLK6fQ7TeBmW3aOyjtEm19sgbdzgCLf25WkLYVzjQzNoOyADXH8NzVPHpui+i0sZgqhq+0wK5wCTMA49um+eeYE5EbjmqBRCCOTtOWy6iBCyNAZobV1AUpI+0+9lbxPFtpBw70Ar5caLFtCaxyGMPQJ3LJSdT2TQA2HHVg4RlPh67LgVgRvfnt+i28nh202+Q8RGEGzgCTK0vwe8nh249gZMTU0CABYX512bL7CfV3nbriUy6oGZb4V9TgltvpOuPQLa9qUQrg2KnxMid7abyqHN/CYErr+W5qbDZ8hupZiVc+aIoGY+2Xfj+kzCzNeBXraOfIjImk2qcW7T5yYhQoTRKFSegqcFKAiUeS1rdRSEcOMFAHSWuPUm77h3pRWgOzBXsSIr/Lt3Y53BOmxFzGuiG9/QCiJw78rYNAeuuw7razQ/RXEfAKC+toiVlRVqb7tt39/41h1YWqQgW7tt5iOn/wIKEvT90PAwkoRtLO77RrMFafVceX5TCWiaS20sXuWA4rEkQwi2aXSmnF/ac6QZBzoFgMzYDSB4HxOX+3DH9WSHP3OabJylxQwavE4EMUJNQb9WfQVAiS/hdNbpmPNq0H0ldHIx5qYIsrQdQgYI7BZLuQAzYMe36JqPOAgXKLv+dc1TxkEstAv0Ctj1iNYSftY8tfNil5/M9rFz2NP5Al0Ha3++Auk3gGpPFS22vY2tpP0TtXL7MK2hFB+r3b7Trjsadr0SIrP7IhlWXLusw88LMHTt/6zBDw0veKb8701f5bjtxi0AgCdP0h5oaSmDsM7RyI1xWUEI0iuV87oexhgdm7BNGBokO18poJPQcx595hubPjcVUshGueQcXVnawczUGUBlCEtkyEahQKtBg0yEVYsg6SS0qdEqQMIGdpouusnJM+ivvHoAAHD0yKpn0Enf3oA2CxKEm3DsxBxCock/R9bY0Uq7KJc9WzuDXQgbYYDQEGwga44o0aJtUBW+g8y/oNuAOGeF5xRTChsj3v4kDz8yRlAR/mw2vC7SRAFEdy1jsEopcPsBMiAa7JRZXUggA3oXedbCep3Oi8IElQotsLUab9ryxKG78tQ6Y/KgAmiDpth86e3tw2tf9zr09PRhcJicU/mRZzE0SBv8nv5hnDlzCgBQqdCzlEshJsb38xUE/viDHwQAvOtd78Y7fvhvAwCa648DAM5MAmurtEiEIbBzx3UAgFaziVNnqPjnloldmJ0l58Px5w4BAG669Xbs33cFAOBPv/EH2LuHNvMnj59CT40MtpEhWjgeeeIQtm8j9NLa2jrGxmhxOj81iSQjg21giNrebDWQ5KwjeQqnF9K+V3L2wm5KzXPCLoYSkh1K7Sbp/JGnHveOdeOm01pFhaNCH/nIHwEArjl40CK3FubPQ/Ji+dyRJ9HJruRnq+LgdrrHekrO0M5YP44ePgwA2L5jN85x/0HnCHgTX63SprvdbiBpL/LzAI88/ABdo5NACiDf1JgkidIK7XYTQSitQy5LADtQAyCQPB5SY9DkSBxYyBkqMrSfr7mWdPHQsw27Ed+6Yw9e+cpXAgDmZybx5XvI0dlppYB1rvNGQUjUGzQmG60p50SKe6HZMQQTeVMOxaWTDjodMtgCGaNSob5tqBW+buDmmyB2NpbQEOwUlrzJFVIjszZjCLv06AzaOFuk2aTlgGZjVKWA0dcwtH56q2AB0KjTBrG/r4Y19nckaWIdjFpkeO115Jiot6jflxdaCCLjCJHWUC6VQ4yMknH2wz/ybgDAzl178OEPfwQAcPzYIUyepfkgCEJkmVkTNl+U1mh3OliYn7KOvRyZcxzJCK4fjSPIdwa4IIqGQM6olrtfuQcA8MA3z1rnjBCJdV4QUo03DlpDBsYRxfMDIrvZ1ypDvc5OrTDYsDEAoCQUfyfzBNJuqAQ7EmAdqIRQM5vUzD4HOdjcxoDakgGC2h5EMYKQ1hNIbfXbbNTIiDebRWUDUhDCPodbC3PPoaWQJiv8MUAQ03lRrPB9t9Fa8efsBFxa0c5npjIoswmD20AZHZNxyfaTztveJiOgDdmLAHB8+6Kh8wxCSuu06QZMXAhV45zYQijnFINzLO3fT8ccP9G0AR0/KKhVG4L1RyCEYge3OVblHefo1nC2EDIIuzH0J2ujg4p1HYAQEIELxBkx08ZTTz3u5lVfTL97vxFKiQMHOn3epl8p36GpPH0XsMHSLjS9WzPN5lVrh/iRocDbbiZdWmnQfVdXW3acaK05sMR9FRjHROxdn64bRiFyRfN5GAZotVae/8ybJQIIQ4lWmnt2gUB1eDsAoFU/0eUYBgARVqAzXvdkCGt7CA2E1KcH99NzP3sk8bxBEi74Gro+l8qOdWlsFuV0QEiN0SFyEk6dPoZ6gxw/acprsy55TpHQbuCXlpYxOjYGAJiZnuVzOq4NMnIBaREg6dDnKqPyW422h0ZS0AYNHATQxqFnnk1JNxDzBNpzcDwf0Sacc0ILu/YKWbK2c1wK8WOv3gUA+J+d4/QM55dsUCwqVVEq0VrY7tSdQ8XcS+eekzom5yQImdRlDm6mCLIJtMoQlki/KXjH40V1eK2Ds1Glc+ToXEJE5ns3/g4eoGsdenbVrUc6gO5CLhv7JHAOHCsuaKK156iGdHOGzezYgGZmvWq0O5BmL3ghtL4QkOYeQkGizI/JDlZoCBNg6ppX3J5OsX4JWYEMzNzkHPJap9YWci1UVu+07Quab8x+NS7F+KE7aDwvrNO8srjQto5mIRxUIpAlDA7QvbdsIXs1z1LEJZr7p6bO4uQpsps6aQidLqGQQv5vySXn6JJSoqdWQb2+iqzD6U/lEciYBrXKU7R4LQnYKECe2OiRyjOUymx4hRn6hyh6v+9qQtccPbLqGYCZi+QJ7Qyy3Bkq2qSU2EkQhFYIDaJLepE+BxMWNgLgGcgQsK/EIM1E5Bn3Gg6R5UVShUOBOZNDeouY58gyk5RWnj2tuttgnPTsjNACEIynF3EZKuvYQ6Nx6r8enWOZvQfRteSUqaxMoTPf4mvFtj1JB0hDMtRas7RJHRnuw+IK7VJHx0cwe944+jci7DZXFhcX8Scf/BAyDYsyCwKNUpnat762jH2MSMp5UQvDEAtzhJoaGpnAoWePAQAO/6d/D2MM9Q+TgTAweJNt//LSIiYnp+jz4gJ6B8iBc90NN6CxvgIAdpE5fuwohocp0nvHnXdifHwbt2cdk5NnAQAry3ROpheg9U56nuVVVNkhMThYw8rKAgBgdZUcUqWyRMjjopVnng/RLZzOSJNwnoXuqUJlF3I+uhB5pYecns1mE/d+7csAgGeP0kL3G7/2n/B9/+ZnAQA/+//+ORxnh1VbpRiNySn4yS/9Ge6+mvqn72ZyKp68/yzKFRq7Z04+B2coB+ipkkG7ldMVxyZ24itfI+fPBz/0MZw7dw4AMDI8hGZ9HEsLDgW1WaKVQqfVIDQXb04QBYjYoRIGIVpNgyQzSEgP9ZjniPn5hieG0eL0zi27yXF56PApe2xjfQmf+tSnAACtxiJUZpwNPS5CaOYFD8Xhz11d6E2TdhaUvfMz6JwCCLkaRL1Obe9lJ/D6+jpgEAtpBhj0i8qtMal5XqyUY9RZxykSb6KngZ3rrNOtC1KvAC86LkIz79F9+/oHsFqncZtSyhf9XApRGiODvgcKU5zaG1xD46iyPo3WNLXn+htvxYljJwAAQ0ODuHI/zV9/6yd+DADwzMN/hWPHjbM7xvlJ0iWl1YZN+OZKmuSYmlrGQP92rK3RuFCZQ16KsAdCmgi3hxyxDgphf6/0ljA0SuPp9W95HQDggW/+CZQySIrcOreo/2n+EjJ2w9oY9cIL9MDNFwKeU8s4S5Ha6LZWGspEoWW0Ic0JZGz7KBv7vfbaYDZ3IfKUdDMs9bo2aOWCMt4Yc2mDwouQe47A3ETdYTe/YW0AeWIQGC1E4zQ2B0sRzvBaNXznjQCA/rXTWJ9Zsc+s+ZmlyJDz5sWkdpTjGJ3ENCEEhHl3El2bqE0VSQg3b7NEDjY/yGZ+8JCXBuXgvfNKb4Aaz+8Te2hzc+zYGrSHpPDu4ummtO8kT5v8Veil4UmHzIIGggut+xdAnmrtxoRBayiHTAFFKZ9/ng0Kws5XKmvCKp4Q3uaUvguCkhe4FDYYpIVzMCuDYIOGCPj3MLSoGYEA4RCNtZpuYXKd+qL/zqsBANXGabRml/g5IhgUkAhKNoAquNPybBlS0FrW6JRt/6msDcCMZzOvbp5opdDuNEHoW/4yCADNwd4g9gJmxuGcwq43WlrUc99AhCuuIhvr/e9/OwDgH/3d/wjn6PFT7AHrOJMuCKyMfRoI1HgNbTQa1p+UZQl277sKALC8QvPG0tIy0SGA5jDjZGq3ExvMCBltatvMz25aViqVEY/S+G6s0xxdLodopc6BZNFSQrsAuPEaaZ92JQC6kFWsyx2ykREGLogVlWxACmGIg3fdSP2wsoATi3R8eJCcFP0LAqtnZgAAaWcZLXYaTWzZj4DXh+Vlms+a9TXbHp27oJlSGlLqrtG3eUIZJVoItM3mTWlIdl6H5RoS3usZh5fWiYecdHbz+JYeXHkl6dL3ve0mAMDP/Kv/bp3tELl1oPPAt23oAkCB1zXfgeWl5FmxKHYHBvBpAgRyorKAc+JrCOus1Tq3+0IhpRcsdE2xTfSmaxobGxxnOrPBKiEjCGWylELbdprfaN61bS+XnDs+rKJnjP6qJgnOrZLNN/rqawEAvWvHUJ9m5LbOYYI3Kq9jcZnasbBIGRhhkFmUowgHceU+2qNMnT+PNBgAAKQthwIvpJCLJRdKgi+kkEIKKaSQQgoppJBCCimkkEIKKaSQS04uOUSX1hqddhsirEEzaqJZb9gc9XJfxaK30oYhmgRkaPLrA5dCE4R4x7veCACoMn/UZz95BNZDrhIXYdEu8kwRXz7G5NQrZaOVQgjbNoHYRmZgeQQEIEwkyUsZk34010RBnRtfePnTXSgtL1opulIxNkQufZHSg5zzA9rrmo8urGBhsGnHplrISEA0KAKz74oaBiM6vvEs8WEk9Y6FWkOXbHukHyVjPoWF5VUb8Z6bnbXIM8jQoWMugoyMDON97/sJfP5LX8djjz0MAFhbbUBKilTsGh9FzmlDdY4Elio17NpNEe3de6/A+/7WjwMAfuW//VfsO0jf/+iPEB/VH//+F9Hi9D4pgcRA9wNgzx6KcAidoNZH6K2YOa+EEPjLT/4FAOIBGx0+TffbtR2Tk9S/ZUadyTDCmZNHqb179mPfnt0AgE9/9gtIc4NqoH7O0gy9NUNmr60eQgQ2/ae3Rs+wsrTk3kNXRFw4XTY60kVsnqPF6DgojfHthKJ5//v/LgDg5JlD+L0//B8AgL6+EXueUhpnThI67qotFYzEdM/jhwnxNTe1jFtvuRUAcPrkCcyeJ1RdnrbQ4D7OOV8ly3LLy3Lvl//MtvxVb/hxaJzDxZC4VMLWHXtx5uxpyx1SLpfRN0DIIqVzjG+nlIiFaULa1evrjoxbKptuE8dl/IN/9tMAgF/8f/4tAKBncAd6a/0AgF17D2BuhpB9Z9fnbWqbSlP09DPvXdNxaTnCb4EuJIThQTGcWXkKmLQYwrQDANqdFGD+iLtfQSmT997/AK49QNHTo8eOo9kxuuTmR8NVNDLUZ9P82u0MwswBfrq1nfukmzMBgDkfRFR1KiZIVxvNpuXyEEHgyMMDiYCf6Zp9vbh6O6UjPvYQvfvOct1OeYtLdZsqNDk5hZ27dgMAUh6rp2cSfPITHwcA7N+/G+/9ifcBAD78p38EZaL82HwJwwDDw0NoNZehcsdBJSNKWS6XBcKY9Gx9iSKvAgKQBmXs0LBCStx6F/XBL//c/wcA8Cv/4UNuHVIO0SOE9tALuZeyxpHpwKWsCu89UcZabM+jY8swZobOUpueqlRio/M2Sq/aFiGt4VIounuX156wAsWoqayzau8rdGipfwzyWEMj4BR6AiaZ9dRLWWOdDyoRlDLzUQaVMOdbqYxQUzuv39WD0RI93/2PUar52kwd2gxeLSzZbg4FQ6Nmltsk6dhiJ5arDgbdlHsQt80W4vXpRpAzl2AMxGXmV1o3qZ8OT6B1G+Y9ZnmAV7+BUvC3bKH56N4vzXj1JYTHz6Th0s4c0sEgRSzaC/SeLBJChs5s6eJGNfw63nrjIwEtGqv7yR1Hjw+LMCmTKVS2zt8pQJq03MQi9Q3vDMI++EgKg6pRacsid8w7Dao9Lgk0lMiVQcp1EGZ0jZuvHMDOQULFf+VBSjXrrGVu/mNuJGpP5rIKLNKuhEDS/aIISDOaF4NAQnI7UgPa3FTRjFr0thBaY3Ge1rXaQJ99hPVlQ+nh2c0eKqadKvzmf/95AEBP7QJoY2gYLikgt2urzrV9V6bQkc411utuLpyfIQR9FIeYPneaLsFpklQYyNjhPnZGEq0JgMxLUZRGIWUIyXPi5LlJlDg9y6G1hVvfoLrmSssxaal2A/eY0iDwqJtsF/H1g54Y2qD0dG4vIuMqzp+mZ3vz9cO4cgshwL94D6GUk7UMpcogP3OK3hqdNzrcg+tuINTTX/315wEAlVoNrTqNBa3g+M6Eo1vZfKE5QkA6RFIgUekh3erp60OjSe1orhokfuRtyICc+R/WVjN86EMfoKtKeo5//S9/yyLPRVDxigJ5fMMOsAppEF86c3Yu4NnAbky69D/tIb66v7dITmNL55md06RwfJaEIDOX4HnFS+HvbkMAiG7aBK01JLiolfb2kjq3/SqZW1OJxMtG6rHtFTKEZs7X267sx45eOv6LjxHCsbnctHAzjZRSaLk9SlFfRaz7I8P96OsllH+zuWazKpTKoPKLR0dTSCEb5ZJzdEFIiLgGZNryPJAhTgNnYHgEd73yZgDA2jrBIh/82nMWzjy/sGo5gSpxDR/+wy8BAEbGaHP41rfdjc9/jvh8EDgyW0o3NJsC5ZE38mITyK6UL+FPitYf5YhNraEi++Dg3E2IKrVDtAkGDdWxCwxd30srsISunNojuqG4ogtKuxG8p7t+N6cRlJYnXrMah0DM5yeNDjQ7T0RNYGyQFt533DiCYy1qz537aXL86yWBVttYWRmgHT+La4bZdAcImWcpzdz7JEPk4qUuZmmGxYVFZJlCmTnftmzZYlPI2mmCK6+mDeLePeRkefqRSQv57qlV8PShpwAAt996O45zitMHfovSyqoVRzw7PDSE17/+tQCAv/zEJ/DYI48BAGZm5vHOd/4wXeOf/1MAQK3Wg1/5FSK2r9fXschEz612CwFDupeXSUdkECFTNBa2bc/w9GEycA4cOIBnT5GhV2JuiFZ9CaUKvR+9smodWUK6dKPBYUpNS9MUCXM05SqntCkA/jsJ2MCUpV5kinRh+9YRLM7P2GO37yCH3pmz5MSaW17EyDAZ9wvLS5CC+npsey+qAcHuv//AGJZias/BnL471Rfh2HFy6G0Z34qUyaznpzPkCX0+fYpSXo+fnMHOHeQQ+Mf//D/gd3/rF+h9VcrYu+8KPLM+hc2WpNPB6ZMnHO4cQEs17abu6muvxY++9wcAAFOT5Lz7xtePYO48OeQmp84hjkkH11czZHUyTj/4UZqj1pbP4YZb3gQAOHHiJFaWiKBcZannAOqgsUbfV40OJyk0zxFhFCJLjTUVOsd4RAZJF9eEty+BWgeY2+Oer98HALjl5lvw2KOkwyrPEDGHUZo6QmBjw58+dQ4xF54Qsg6YlDmdO1LZyBhpqavsmGeIKjW+Vgpl5002BIMQcYnGQ9pOcP21N1L/TJ3Blj469qdu34KTfLnXHiCdOHduHU0mGp6bOetS7bTA/V/7KgDg5ttuAQB85tNfxMQWckQfP3YcB76fUoz6B/qwtHTxoPdZ1sHSwkmEYc069t79np/EZz9LRRquPrgfd9x9PQDgsSfISf/A105AGkNUubSYxrrGJz/8NABg61fvAADccec+PPwQjRcEERTPEdQXZs5VMGnyhlg7FCFybVITtUvJ15mXWeFSyKwDQACK01NFEAJlehciISeekDEMKbXOXaVZSrz1cjlAgQBDRp/lHevo1Tqx5wVM4q3yddt2KePulEnLc2OeNkNc4bUuLQG8wYp7S9g6QMf809fuwNfnaRP12qvovZw+10Br0RnvUvLGXFRso819lfacbNLZDUIGlPZ7MTIXASbUDqwTSogAuSInxMBADQeu2w0AyJg/8JtfPw1j36hMQXIqYdro4C/+9HEAwFVX09y+d+8ATjP5NUTmZfnEXlW6zLM53KbQrxRoyKaJzNvoFeyxLngX2rZBp9Bl4rmCTYXJAI9TzPlVfEeXa4PlERPCCwy6oEDAhRr8TawQziEitHKk4jz3BUKCGRrQShIIReMgKGls76fzfvqOrXhsnc5787U0Hv54YckRWOvc2mFSRtYWdHxCga1yHSqXBtVbG7Cp5hdjSymERBRXkWSATe8SgXWcZ2jhqmtIN5I6vZPDT6zADeAAyGjNTtZDvOr29wIABkfIcbp3/yBOHueUPRnZ8Y0g9rJXc8f1ZmwTr0AAoCHLFLQbmxiyvK9LTPkQBMqtM7Lm3rvqABUuBNdiLiGhkbPzXyiN3HBI6hwt5j6UkSmOIT3Cc8ARqHdgCMlNWp6W2nEvCY9/DCmUIe80DO2yghJTtLRb0hbzCHtjTAzQvf/9D9+Joxk953sl2Vj/M5tCwP6hI4eexFqd+urZIycsd+eb30SB2S984XOo1uj3xtq67UvqOnnRUvUp4J9zYAQAFFo2C7aNN7/1dgDAyZO0hj31yKLt455qzRZEWa8n2L3jLgDA0AiN2YPXbMGRI2vmRpZrmSpUG54WANqBFuiA2Dq4w6gM0xdKKW/+MkETeH0TWmBAOQ6RxAP0dXOV76vt6UpJzxEaOh006Yy5C0wIIbx9mgKU2XuG9hxlHIVwQScAlsMNTP0QyDIqffS89bU1BCUaJ2E5x+4hut4/e80+HGb+ubdx8ZXTkzlWzzZse4TfD9oUG6Pf5+da6HTovHK5hN4+6od2u21Vur0+jUIKudhSpC4WUkghhRRSSCGFFFJIIYUUUkghhRRyWYjQFw0mf3FEyJKWpS0QQrrKMzqDKWEtQthUiIC94mmnZaOKUVS2qS5p0nTkkBdIA+QSg/ZPbVPoXB6jhfZ6xLZA4MU9Ag9NZSK7HkQ50EQQzfe2VWCEIWUk0mM6L/BIdeHaZoFkgU3/E1AO/eDD9S+Uxqi6nhJgAlXBqWwilggyikb8+Gt3Y75B1ypFDfRwKkqa5qhzFKMnZvRIrYrDsxT5fuKhNnRmIMEODqw4mg8ZAJxqIko1l2qlM2gmUES2+KjW+tbnP8B3LtWePr3/4J245uC1mJkjhNTJE4cRc+Tj6htficNHngEArC9Tqty1B6+16Zu5lvjEJ/4PAODpp8/ioYceAgAcP/4cAODMqaNIuMrP3OxZS8x69NhRW6Xn1ttux2233Eb9wZDeIIzx0Y8ScuPkqZPo76NIZ319zaa99FQJmRXGZcQl+txOgd27KJJ6+sRRtNvUdyGX/S6FMa66gqo5Pvb4k8gzQ7aco1IboM+MfqhWa2hzWC3PMmTmvj09KHF1nHIPRQ3X1huo8fnN+hJWFmZtH7/y9a8DAJw7T9DlM2ePY8s2Qsj80PV9mGQVCLGOPkb1JZ4+1UpcEa9axvkGozH7X49nHn2E+ufoIU6dBGwE0lRhAxBXKujhvr7m2tvx+CMPobl+DnnW3tTwZBiVdP/wdmR5hjVG20EEdnCFPQOQPF/s5lS68bFxpBwRnp9fgGLkzulTx7Fl6y46dg8R7Gdpihnuw3qzjpVF0sdyuYZmwyEAKj0UyWw1eNxoDXB/yDBy0HMPvemqSEWw1dakhk78lB6eD3gO2bt7JyanKeKdpKlN2SnHEp1sQzXAzCOP1aklfxZS23elTXoQ4MHjpQ3HCAGLGDDnyyhCHJNe/ujdWzG1QnowMaQxUqH7La81oMt0j7tuvgYAcHx6Gg+dpv556qF1NOqmqpqf2mn6tIPrb34FAGBsdBzC9oPCFz73V3zo1KbPTUJGGtEgtozvwsjECD+3wNTkaQBAkqdotVm5THEIByAmBE9XWqhZA3J7LGyahvTSu7x1r4u8nBFJWQtBbFKsfVJ5BTwv4u9dSwomyQZ01oKPhgYAEZTs/JirxLuSv36ZVLs+q1tZsu6hohzaL4xcxV/bGiG99VcCwq8CB4hIoNJD93rfXeM4t8ZrWrCGkNvWU5ZAiYm0TWGbuIKvHCOU6KMPt5DlJkovIDjyrtku2bZlAnUem6srqxbFEYQxtAiQ1c9A55s7NwkZaxlPcHEcRw5uqAWq/YPotKmf8tQQ6VfhbAynP1rDpr0EJUZhIofBb6q8Q9XkAEAGkHYtzy0CQnu0CWZOFCLwKuaV4Gmy9yROlxwaXD3/WK0tqoIa7Ns/BinmTSymTyDc76Jjz7ME1kJ6Ka8uv4zSjlruOfm6vf00V/y9N2/HmUUuUFNqoy9i1GCWYp3tgz5e5wYG+3DPqTkAwAPfWEbWMXN31VvXDDWGtveL4opdo0PRQIVTUZdnT2763BQEJV3p2QqlE66QR+M/5jGnghDKoJrM2qw8W1c4yg50pYIZqEsbFg/soSLpuQ2ZuHvvInTJKTEji5MktWjSIKCK7QAwMUGpfWvrruqgiHrQ5OcQKvdSrx15vk15FgGqXEm62ViHQdu69x4AXlqd08kEsBX42NZF5NKXZQzdYWNIKAdDYDSOiCX6txLq7+/cMYTpNeqrLX0KY6wW7TTFqXU68Qff8noAwOLsKXz6GK3Tn/7kSW/sOZzDq19LSPFyuYSUEZ2HnzmEmfOEuCHkroLqzECrZHPnpqCkg/J2AAG0IuQVoaoYfRTF0F3UCwDy3I1Dndt1TMjYprTb9GkRe0UqEmvrBGHJrW8683TTrA/Kpr/3DYwjY86bTtJ0bfdyHy2tjJQeqDBz1Z/9Pab25lJ7BWH3ikaXtMrcvlNrew+hPcqHrr0rnR/EA1bXgAw2zTEwtl0KLsSJv//acaym9Edv2ERfyOuqyrDKKdajnIJYrvTg3rM0N33m8zNEzUMXtAgygx7LM9fGoaFejHBxrYWFGayvkj52GrObPjcVUshGKRBdhRRSSCGFFFJIIYUUUkghhRRSSCGFXBZyyXF0CSEQRxFypS1QSogI1SpzzOQJ6utMGs4ojtQBsJCkOWJmh01UDi087z4AlXsh8QtxSQF0MUvC63OHOO4HG/2R2fMIelVehwx7ub3KK1ft8XWgwrdqwicGRuDuIWS567rQikq/A9AIXLTBj2LC4+BRhgPF/ZcgZCaqZlACFeQBIYYeP72Oq3aa8s0di7Z5dHoJ1+wkDp5KbEp1p6iF1La4KtFZN9cLHSKOeXl03rFRdZ1nXplldJN0brIorZB0mnj6macxMkoom1qtD/v27AUAPHL/l1CuUv76vt2EhHri0QexZ89+AMDg0Ci++SChtz76sY9iZooIwg0Z+9r6qs1Hz3OJ664n/rg0g+XdeuqpJ3HwwEEAwBe/+EUAQKXaj4kJInFvNFcxProVALBzx3bce9/X6R4NyoUPwxAry/O27eWI+nZkZAh5SuPCILCmpmfx8KPE5xOIEJVKL9+jgQ4ji6qMfkmTDhLmvhocGsHAwAAAYHR0FPNzdL87mZj85MnTODdJzzMyvsuWVO50Wjh86FkAwOIyobzCcogFLlv84CSwf5R0q9nUlo/isZkFXLuD9Sk0hL85BPMr9AzUcOP1VC58bnoS9RXDzUI6HwQxsg5FJjuNDiIuGvHNb9yDtNlB1zjYJOnrG8Cb3vSD+PSnP464QjqTNOt2PAVZE5Kj0bPTxGF2/MRpjA0RWu+aa2/ATbe+CgDwG7/+q5ibJb63xUWKqm7ZugeLK/T8jdVJN92IDJUajaNSKcbEFkKCLTPia35hEaXQcfu1ObintYBmgnkTEdVoAYLHaZrARs+VtoT1OqL3deLUVDfSwfKSaMuDKJifLBehDdBLGVpULRB4pdbN84Q2oklzvJmhlJvIDfI1DJEweuSJMyvYO0FzU73RQVmRHj90fhFvv3UfAGB1nnRwpCQwzjw5oqyRr9JY6usbR53JeJUp5JArPPPEN/kd7ELvII3F8Ylx7NlLfX3y2c3nfBMiQFzuw7ad+7BrN81NX//aN9Co03solUNow29lOD2EhOL3JIS0pOjEZ2Wi188nugbg0MTQDu3iIYfNuw4jgZwLCwRhAOVxFl1o6fT/sOT1IrTcIgZgEAchMm6PUqlHgu+uEQQemoMvG8b9yJn7yycpz1Lqm0D2WP4xQgwZtEXqkRGb4icCTR4g3zi5jINbGBWmcosQ/8Kz5/H22+i9V0K6wHq7iXEu8iFDAWSMwpDKERozYuD8+VnXJzKyfEtZ2mIAnF/4Y7NEQ6kOF3Zh0uA4QpbSOGytrTjkjSkZr+uW+Jvem0EOAJLtEIPsIqSlh7zq4q4xHF2eIeY9o+FJkjL07CZX3EdbHhiPNDB3JN+A8BCgPrLL3EO6Oe1CxXbgEKJdoj3EljlFC8up1IV8hLIZBpoRhEIEWF8h9Me9RxZxw06ao5vtBDXmIrp3cgF37KYCJRVGImVpip3DNMc+FC0haxCaXssAQm8w2YW0BPV5puz4GBzYhnFGgS7Pnnz+s32XolSORn0Nfj8HAZB0DE9bxdlwyhvHXcg6X/SG/wvYtUcr964EnF0q/KIlrCtZgo5BtZUqyBkNkyOA4L6ZWyA0ycGD12FxntApq+sN7NhKc+y5c1PuerlBcSVwupMjMihkEXhqxHOUjJBlhoPS8cMJGbtCEGbSk8LTWX+Pkbk5OGT0bCiwvsb8eWdbuGMntWG91cAgH/PwOvDxDxAZe7xyBAAwtXolHjr7vwAAEzu24fypc677eE77+le/DAD45//i53B+kuyOTvKU44STZoxdBI4uLfhZNYSo8bO2LZJJK+UVuuB5FXkXJ7LtO9Vx6Exe52QYIM+p36SI7PtQmSuWJcOy3WfYbBKVQTJCsdFY8VBhGg5tKLv/DwC5RhSZwh2wc5prr0dwL7TlcBPwCP/N2qc3zKmWwFG6V2HQX5AWzax15vFaZs9/ayJCwlytj04muHMvPfvCWhMlRih+5fQ0XrmXuA97uNBYu91Cf0T3q1YDNNcZ/RtULVLY2Bz+/Li6uo5dOykzIc+HUOK5bqrhMj8KKeRiySXn6AIU8ryNPM8RgCahweFRrLDTYGxszKZ5tZhIu1qtYmbqNJ0eRGgxeSctfIZgkKsgKcDCoaUzdBBXEcQGQtyxlVvyeTJCgjB0xJYeBBVaWQPSQZsjaMVwb5Va5xQgbLU/fyJ1xaekt1HwFh0D9w8CB0vuguhrS4jtzhEOoe9BXilFycBbzUQpLGT+mVPLGBvkdI5QQrETIlEBptvUtjI3sdXpYN8AvYt761MOXhy1oM1GwGYa5I78X+eunZDdi8gmi84V2o06ms15pB3aLPVUqzhxghb70bGtWJglsvAjh2gzm6QZ3vI2Iu+8Yu8ujJFPA+1mHY0GbZJz3tRs2bINjQYZf0EY4fSp0wCA2kA/6rw5q40M4WtPE6m3qXj3Y+95Jz71V38NALjqquvx8MO00X7u6GEEvCFNjR4LRzqtIfDoI4/T9xKImCC1xo6QQGrs3UuV8pJOE5OcCgedWkLXepOLHGhYgv5Oq4P5Di1KJ08cQ4m/f+opSus8c+KwbU+52osKE4iXqz0IOL01iEiHMpUjqFG7jq6sYZxThcpSQLFDppUKHF+i8Xv9eMm260qu8vXZ+76Gv/dTVJVwvdnGFzmFDClvGjsNBJzOWSpFqC+bikgAZBlQm2+wJUmCc2dPI5ABBgZIKdaFtNWYOu0WTHpLC6QnUbmCt37fuwAAf/lXH8d9D5ATktDtxglMY+z0yWds5UOImJ4DQEeFiCr0PHe+9R3o6yfn5V/84Z8AALbvuBoz06e4jU0Yo1CIEHGNDJmE360QVUBQvwko7NxBztb6+gLm59iZqF2anKk6G4YheqrsZKrXkbMuSTbUZBhAsfMrT+p2/iS1NUTDJiVQesTdqbP/Q89hYuYmlVtHwuGZNraPsr6HAQJ2wr/6tW/Fr/36hwEAv/TP7qb+b+W4qp/O++v6up3n15srCEMTmDAGagl5Ss6PyTMn0bu6AgBoN1YwM3PxyFS1ztFpreLpZ57C6jqlwpbLEe64k+aer33tC3buV2zIAxou/cGtJ0TovnEz6RnLEO7rqIJyld5FHuUo10jPVk+Rjui8DrsRRLXLyeYcGc64t2lAYQhtNoAi8Ir+0jO0O02PZNs5xbR2hVOsY1XpLkdFwAETpTrOSWodr6klrldZBsXO8iAKYAiIbUeICNEQOdgPTZ/DRK3OzywxVOP08Fzii4fI0f/Wa8npmSiFG7eSw+JTnVWXjhRW7D1kaO6V2fQOGkI0V3Qa8xuce5soWgMqgYxqzleUay+dRkMweb9NN0ZgA3K0Cet4v/trD4hM2jpEpXNuhQHCMo/1KAWY1iAzc4lyaTxKufdIGmsGvnOKu/e08QH9NLiNB+S4sKnrHSs8W8lKDEPl7lRNuYraQejdJ7eb8b7+AQBAGxJ5Suc/OVnHjiE6oDcKkPH81UgFHpomG/LVXJG32exgRx/NpXkuIbmyqkALgKnm56XJ2UqUCn1s+27bvh1nzpy+wDNvkggBEUrUegdQrzM9QlxCnrT559BRTrDIuAbVpmf1Hej0ftnuNSVTReScz15lTsgYgte6qFaBMtWkOYVeRGXnRFWuKmQsBQYGyfE3t7gCAHj20LMY4Kpye/fswMQYpTTOzZ5Hp7PRkeGuq7XGMgdGTBETABgeobVyaWEemoOGIvKdryFM2rhNQdVeReQsgbXDy1V7bxmZgEwEndN9n5qtY3uNbInxWgzN4+rTf/GQbc8DX/0YAGC12cT7306piR/8xEchpbEVfTub5Hd++1fxujfQ+vKGN74Zn//sZwAA6+vrRKZ/MURo6hftpagrAUNurpWCMG02hQ9k4Bw8XqVaEZS6KyUC0CqBtE6qjnOchyEiLthTHhhEzu+yPTnHZ0pXpAbCZaNK2AJgJbYx2u2mXaNKpdiuY0nSRBTRvatVJn+vJ+jrozVmZXXR6ZUQ8G0z+s6l8CuVd8USHOVNYhsmjO0mvLnJJ7HPXMDHFNx+8GyOHQM0xoZLIeIKrfdrWYBvzJHt+hYGknTyDNeM0Tz10Y7pJ9B+lvvE3zcaZ2OeJXj66UcBAFnWdqnthRTyf0EKbSukkEIKKaSQQgoppJBCCimkkEIKKeSykEsO0aW1RpZlkGEVNS5X2tfXhwbDuxvNNZeuwV7xdqfpUl20S3/RKrOwb5vNEAgvqJc7qGiWQHNUYP+eGk4vsTd9hKKxarEOD0vqRRuUjcwY6DS0ciVsIbzS6MoieixKC9Jrj3LRcRk4h31gILfKPqdfZECjZD3oQvqQWAe7dykDwoNZeaStBmGhcmh+jqH+EBHD03eO1NDHAWHJyLdqKPHEJKEA7riljIeeNJ0sXNqkn0FmSTm1l0bhpwdsvqRZirm5WQwND2N2hlK9SnEZOUeTrrz6etTr9GABp2vEWYp77vkKAGBx9kr85m/9DjVfabQ5ktfg9KfOxAQGBihK3Wo20c8It4XzU9iydTsA4LoDQ5hpU5+2GQn0la98CdOcBjk1OQVwREvpHDVOizPkmLv37Mb589T2tbUVjG+h60oZ4oorKd3y6HNH6frtNk6dPA4AKJcrcGlMDt0YMTlwqVRGlrpo6uoKjbEwKqFVp+/n56bttfYyyX273UGnQ9HGgaF+PHf4EABg/76rAQDPnToKzVzLHQVIRnwNDdQQc+rijuEqhgaZ6JmJe6siwiMnFgAAW/oz/MUn/pye7egRjG0hZMXcOU6PjHqRMaKz2ekAHBVFFsCDkmyqdDptnDh5HKtra8AKIXC2bt+JVosJ3RUcNICRNjffcgdihoWvLNVtdJdSkzmNy5C0546gVYQ9kIzokkGILFsBAJQ7z6HeIIj44O4BAMDZo0cQhvTMcRQw+gKQQRlBwHOPyQYJUmjB95MKp04c4uYoL7PCS/lhhFlcqmJtjSL4GiEChvwHgsZx0l6ypcNlqc/OTzrPbOTWIDe0UhChi8oKH9FpIug2hdGhPPI8gub5qL9XolKi8+r1RfzYe68HAGxhxEMkNU6v0UO/5vYePPg0p4HU68hSc22DrhVA6hBT6yuE5unp7cfefaTzhx49hc0XmqM7zTkcO8yIO1lG38AoAGD79t147vBTfOQF0g79YL2CI6K1qCs/POyQYCJvIWFE3vX7K7ZYxNgVFMmdfa4DyYT8UoY23eJ5KfAglLFLYxOQESNV0pZLrffS2TRMBN21TQiH6rVkvMKL2vtLhCi7Y/NFbkMEa+pIBWGLoWQeKNqkeFagEqYYCCoo95LOTlQERhhls6rHMNTPKS2MYh3sqeDxs5SO/I43DuITX1jxHs2k+TESJZLYuo3m6MmpaWSsWyKIIWWALFnAposAIANolUKatCvt0hiNrgGwVAsCsBOD1h7qCQ5h567vkFkUP2UklMos2nDX1ghTa3SPcJiQYtl8HabAhICAZvSOIah3jaf/OcSbR/jcpS2++PQSyn2E0zeSaAOSy9yiBIhePpbmcCEiaFukwqUDEzbOzDc0f8r+fouiVHlo56bB/hIqvB7tG+3B+ADZFyFTPgzEFTw1STrwutt68MX7lrlBCoG5n7UDQ3gdgXWm7Thx4jmL0L4YEgQh+gdHsbqyYFEiykOWSyGR2zHJiEbVgTL2bb7e1W6A+1R5+sjoFN+epuJO1I8Hd1fx7BSnKU4MAgCy+abVU6UEIl7fklxgeY3RZLagCbCyToiV5UPHcOoU2VB5qr2mueInFoWplL2Gn2qctmm+kVJA8foHkdtiGxoRBMNoNK/XKkkgYoP0lPbZhMjcGLPpwaFFtCbtDoIKrQNbR0rorTx/K3fXe34VAPDB//oT+OiXngAA/Mu/ewv+ywce4HtIuKwP6t8sS7BtKyHfjh09jPe8590AgK9+/as4dvjI8+6xOSIImahyTyMCAAapJFxhCRatctuX0B1XpMubm7RFpuYQxm6SgUM5awXN+6I33LYdX3mC1tjyVrKvW5OrFoUuvLRpH3jW4SwQIYS935YtWy11x9lz56ydnqY8DoIYy5yBBAE7R2jlUgy7l2aHVrW/ixAWkpUZVLmwc60IYjt3C60sitnsd4PSgEXopZ0WwgqNtYmhED0VWh9eff1VCDOaT2LW0UpcwqOn6X7vfMMIPv4FQlL62aP+ftXB4AJkObVXSoFaL31emTdzWyGFXDwpEF2FFFJIIYUUUkghhRRSSCGFFFJIIYVcFnLJIboAiSCIkWdtJAl5rHMFxCWKiq0uTyPgqNHoKEUm6uvzHo9I5PK84UduHOLLY/5w5a51biNk63WFm6+ga5+aoejd3JLnM1S5u56QjhvF8me5CAUhtlx0SGWc+x9w5CfPXWReuNglRQ8NnwHztKjU3pei4I6TRVh+DbiLedxg7pk917w5O88g2iaqFOGrz1Bk7O+8ZgzzHL28crgPQdjNuzXVaiJgdMHWngre8mZCUzx0agXr5+n5k2WDGJKwXBy6ZD8LIR3Z/kUSrRTmZmYwzITvM+cn0cs8G3PTZy2xvOF+C+MQy8sUyfjkpz6DJqO3Ui3QU6VI3sAA5eA3mk10OoR0GR4ewewc5bVnSYahfjomVxrv+6HXAQD++qvExdWrauhw1+zecyUEv5Mvf+ULaLUoapMyb9DM7HkMDFJ7q9WUCJAB3HTj1XgvR+S+dj/xdl1/zUHc+41vAADOnjmLZ556AgDQbK5iaIgihCsr9GztVgsh88oMDw9jC6Omjp6YQv8g6d4ik3vnWYbl5RUAwL79V1uyfqUVykxuf/OtxI80PTuFRpuO1WGA+5fofj863IuFJunp/qE+VMoceePQ8FSzg5RRWuMDfegZofPO1jM0V0w5cNLB0bFxDIxQew8/cR8qTMYf9ZawtmRIdDdXtNZot1vwoTSlUgVj44TemJs+g+FR4sSKS4QUuP6m23HkCPGc3XLrTXj0IeLokmEVjmiXo3FhBJ0bNFbJoSyz3IJ4qj2DuGYvzYXz5+l9zh89aznjolJsuUTCqIKVFYrOTVxxJQBgYWEZa6uMQEMEaJqPIAPLL+KQG4BgUtGJLaN2HgsCielZitT1M1/Y7IyG5mijhkQ5pmu0WgoW/cFRcKH8eTmA46MpwUV5Obqe5QgCRk0gwJeOUIT+/a8YxlKLdKWWzmFbiebTPkZGroQjmJs/Tf2+bzeuuZ0KG3zws/dgdZKj2yvcLikpggpQ5JujlDOTp7F7z5W4aGJIeqWG6QOt2lhfIeTQ9PQ5KCa+tnO2LMHon4DsJpiHh4bhIy40DLSSXIgAaDYlXnE1IbnOr3EhhefOumOfV7BlAxekt57kaQOSCxkQEsVDPcOgYtrYKPQ9Xc/nxHHEvR7hczQCmZHu5Rn9nidNiMAQ9AfeuIps2wxSQic5RMBrZRThrw7R+Pjb10/gzBKNhZu2DSPjtTzt0PkrrQSakRtXjPbiB7+f9O2+Z5toMPo7XaVnG+rvRQB6b6VyjA7bMVKUoPKLhcIhRJbWuVtPBayt1B3zNOgIn7gfHlJQWFSoC+N7sDohHMeMzqHZbmq3Mty6l+ym47P03dycIxrXOodgAnLtwSYconND33ioMgtC93nouhBmwn4Ne8SF0O2eRINAYsiSHarC8JYR4t+7vxlrzFETaWHJ0FVUxmdP0Hv+p3dUMMe8VteODKHK61zI7T2x1kCbUTxbqhX8wNtovv7qoTU0l7nowjq3PQg9pJ1EzuiRZksi69Sf/0ybJHmusLzchFbSIgCzzCE4ctFCFHNxBkaRdFpNdBdx8rgC7WczR2lAmXWo5G6cdaAZcbveaOINtxCB/CNHaJzOL2qrC0pnSDODpkqQGGJ5W9ACUNYmz9BYW7K/B2z3mHUTee5ItoMQQrs+r1YYAWm4Uzvz3bxiRl9EFdBkO6vU8V3phPU6jD2qXAEt2QY2yOI0QBhTG7IkwdeXaT7ZPxhicpnmvA//l5/A3a9+MwBgiflXnzw5jVe9/q0AgB/9gXdiuvULAIBP3X8MjTkm61+j97JlYgxTU4RsW1hcw+c+Rxxdff3DCKIYWbb53KbEH6gAGUCYvZmQcO89sJyHBoUkpUQAGgs5Im8MpLBcUV7BC7Pno2Itho9ZWd7Bc1NTeMfdhIR/8DBx8h6fdvs/mo8MSX3q5ilbmAJ2ijl77gyMPgeBoAJn8EjaAVy5n+zj46fO2LlUiNBDLvJ986yr2JgdP+EIkDHyV3jFupTpp9xDtmmrm3bvm6aIyjwO+nvwiRM0V/zixAjOLdHnbWGEnhqh2yLu3+eWVlHn9lw51It/8LeI7/dj3ziL+hI9Z7Zs+j3w9qBufYmiGjrJ89f5Qgq5WHIJOroUsqwFIQM06zTQTzeWUCpzmpOQCDkVaHqaDHKlvLomqgNrQMkQzycx9Q0+BclGi1Y5JC+QbRViYZnuPXssN4faRZ6cTMp+bzbfzjDXnuMthrAVjDpuA+dXF7OpluZGgNKJhUQbESLsMv4sWl+keF6VG4/4EB4U13dyhUy0uHUiwOlTDIkNYyCgzxkAydDfwzN17BuhFL3JNTJQtg312YWrWgmwnckYj2/tgeDJcnFthZogI+9VJB6PfoYg5nSXi7IHEBBBiJ07dtqqg5XeAey/4loAtL/fupWcE40GLQCnT53EgYPXAQDGx0fRbJLRevrkGUxspcWysU5G0/LCMvaxEyGKy9jL1RwFMkzN04Z1+669KJXYGGQk8Lnp4zh7+iQA4Ir9+zE5RUT4lVLJGl+jo+Qou+KKq3HiBB27trYKxYvzww918OWv3AMAOHCA0gY/8RcfQ7tF7c3SBJ3UVLwq4Zrr7wQAnDxO6Woz58/i9/73xwEAZ08fxT2f/yR9PzuLjN9f/8AwAKDZaNiKT1mu8MwzT9Kz7dhpDcuP/dn/pPburuDIaTaCkwQ/80/+NfXfFz4Ow1X93HoTV4ySUp5jfdo+1AfJzpYd4zVU+bo33nI11hZpA/2Nk18AAPyDf/D38cyRMwCAUycO46qr6fmfeuJBkOZuvqMrjkvYu3cfnj30NHImkD91/CiMYvf09iEzhP8NMkyPnziL2TmaS9aWl1Fi4uZ2fRmCCz1YQ1doSCauVmnbbdRUgniANpBTC+voHaDB89h9h/n8kk316uQBpqZ486ZzmAzBFSbopWIUDDEPyrDJBDoBsu4+u/HWV+L4SZpj/+E/+sd4+LGn+BIZmvd9je9NN+gfGML6Gj1z0mmhk7BTLAoQMgl9yhXgaL/nnP8mnY20gdNqGV6/bSLAibOmSuQaSgOsV0EAzZ7iQ/PrYF8NnpmhtMPbrq7h1oO7qbmdORwsU5/sObgdz63QWFtf5XQ2CEtUCwR2QxsGGqm3Ydl80QAyIuY164Ws4jxX7AwDILUk2vwilQakIXyvdqWwwxr75lmEN+8LZ2QLZeffFKElw37onif5fAnNVQxVpmxQRogcXWsKAK0CwFa2il0bpLfhsAfDFWbR2rVNK1t8wG5YZOC52NwuQ6SLLr3RFDeBK8CgNRCEXK1YJ9YZEveTPu2a0Dh+3tAHZKiM0yZ1eKgHszPkRP3S0+fxqgPkRJ9OOIhRq2LXAPVDKRL4gYO0DhzPVzB7eAUAsMjpzHv2X4crrthDvx87iocee8Y+ic47uBhzEzSoC2TgOT+FR9yfwZqDVmc2OkI9ugXrdDJVVxWc4zJ1GSuATb1qZSXMcXXg2ROmoIWC4PsGUcXbkMHaLE6FhSPu9h1r2rOXnudodY9vr2GDhYE99PnnA+hMO3tK+MeaeVfbjS4gbSAzrtLz7N6m8Nw5JvMPFKBIf8I4Qsw87c/OtXAlTd04uUpOkJ3D/dg9SLbUUE8ZNw3TGns4qWDyEK0V7XUT5OhAhhXXdFslUqPWT3bLavMMNl20gs5a6BsaxdoqvdM4DhBwtblOu420Tc7csa3U/oVUQ2V+9UtDXh1zNVAAJiDb5fxSsMT0IrDvba2RYZXX0UVeA8KobAuHEGG4S5u2NrB5l57joNrTg5RpGnSucNuttwAAbryZqiD/3gd+3Xt0Za8ltELKzp9G0xS5KCNv8XPKACph50y4DD/4TI/m2SKZhjAUC9JRnoScPr17NMXxOdKnsNJBwJQOSkggoTZ87tHjmD5PTr8nFyg97uD2Lbj7+mvo2NVT+HfveQcA4Knlj+LwGulGtkL9v2v3LoyNU4DsS1+5B29+42sBAFPnzqKvvxerSTfR+6aIEBBBxP3qHOQ2CAHYPZKtYA+BXHh6bwthRN1ORvCI99Kc7T5NSpvGuN7U2LKLApLHPvIYHepRTYgg8s5zRO8WoxC4omHkPOXxaehYALTbXIE+CpFmdOLb3/pGHDl6AgBw6uRR5Daoz4GdIIbyqira+SmddTOVNKnoHatfKl0CDE2NV9Ar5KDzgb0RnpsmvQqlRm2QrxYGkOxIfmq+jmvG6fvnOLB/9bZR9FXoWiM9ZQyz3Xn//nWcfpbmr9QECIWA28i59aXTSYENqaiFFHIxpUhdLKSQQgoppJBCCimkkEIKKaSQQgop5LIQoS9EwvkyFiEjLaIRyKAElfvlrh1ZbcCkn6oLumqicBl75AF4Zey70+NsKNmDxGrIGkXZduxSaLcosjF3ntvQye2xBG31SOVNVMAQ3wsXSVVZYkufE+TfQaKp3S4CAa0pCs1tlKEpxW2eM7eRyS5vOrRDmNkomSvPSxBTYa9hPzOpvBACOaffhX3A1p30/St2DWBpma6xc6DHPlN/jaIG7TSD4gh8K0kxs0ZQ41pvGV96mj6vTjO0vylc1C5rOfLwXMDCTjrnHtVa34pNFCFCDVFDpdaDFiO2+gaG0dtLaYrLKyvYtoUiXNMzlHYYSOAd734fAGD/lVfhyUcpFfDZQ89i63aO5D/3LAAgSVNs274TABDFJQh+P6VyBXWOPF1/sILT5+jaaZvSzraOTqC3RhGr48eO4etf+yp1TZ5ihCO8RjqdNup1arstOQyg1t+POiPmJKN0lMocOkRrD0GocMPNtwEAJrh88MmTJzDKqXY/8mN/Fx//8P+mfjh/HmfOEbzbjsG8g1ofRXf2H7gOR44QumdoeBxrTN5d7zChbyihmfB5YL/Ea/YRiqknrGJuiQn2h6oWNt7H+tRJMuSsY500w+w6IQtrfTG++gT169L5RdMc9PA7bDTq6Omlfm2srwBZG0AL2rBDb5LIINbl2hiGh8eRMDR7cXEe27dR6snqWsOlwQ5SykWzo7FljKK0Z8+cR6dFvwsomymE1ES7BRCYKDhcye0sRcCVIO66eyvqdXqnTz9BKQg6yV0UGxo+kNeHtwOASutAznADGboItErgonA8n4U9NiK6besIbrj5lQCAz3/20xgZo2d+4+teS/2wMIuv3Xs/AKBRX/EQFAohj+8KE6JKEWB1nYnEhYRNRRAukg5GuwVhjKxD/RMNtLBvH3XaLVuGsL5Gn/cP1yBYl6o9HBGWEjGT1dd6ahjddxMA4MTRB/GbH6HCDSvTdE5vfx+uvYYQgQcOXIn//b//gNqQpxZVqzrzF2duCvu7QCY9vaM2BTRNE6SJQW8x3i3qQ6VC/dlsJnCpeX6KoQ+3sXeDy8MCgh6K9t504wDm5kkfzpyiiK1uObSVELBpf0LGXtTboXEMEa6UEjkjOqSMbLS7i2DcQa9hUUPCIc+iEsNftDtWqdQSgQspkKdN75kAISOb8iKEhIx53VQdNxdWDfIG0Ip0RPYuYecEte3uiRrml6jt+4Z6UWI0xfYJutb5hQb6epjoV2qcWSL0zuhwH37jzxkhuMh6GtewY+d2PlbaAgsnTxynwhL1U1BZa1PnJiEjjXAYQkpPFySE8HVhQ7ECAZeiKDxiYT+lEeYUH4Gh3fgWErJq0psV0pQ+z08T2kd3MlscQAQBpWyDXrnWnh1m7msRf103Nw/g89NvEIdGc9gtPy3pwmKQsG74SO/ZhE1T1Hli7TvJqWwyDqEU9Wk0mGHnCOnE2w5M4Pw0jeGrRvoguUXlHtKDNM2Rc5pTM+ng9Dydt2W0Fx/8MiG6lmZJx4WMIUNTlKTsEDGqgzxZoc+d2U2fm4KQ1rp2U0Kx7RyXgUqFKxIhRLNO84Up7AMZQaWcaq1SgAuZIKi4QkSM/gziXmhLKq/o2QCozhqCGn2+7fYxTM9S35w9yWmOmUNxQWtbZEIIh4oFvye/+IFWCoFFUEurIxWeF9KkgzQxafMuJbxaihDzMy8zYhN5CpXxswlh34/wsiryNqeV+ujlsErGJQCB3KXCVgyJeQSV01rYt0tj5wj15d1jNXSadMxrrthqUa8l1qdMBYhL1Ia7XvNGrDLg6dS5M/ipn/8gAGBlegUAMD6xAz/8zh8BAHzpKw/g9BnOislTwnE2z0Dn7c2dm4KyDso7eD9i5vzIpqmrvONQ7Sw03/ip72bvldnXbJCifmGLPM+szQI4tNwbX7cDp08Taunoc2SLq0S6oifaSz0UgZsDLKBTOiyp8NHI2qOmofaU4jKimN5jo76GMr+bZrPhnZe5yxvbTCVeYo6jCXB0NtqimQHtwVhy1ydM4RCW+6Al6XZ1SxsHt5Buv2bXEOY4nfX6iUHkGX1f6+U9XZLRHgJAEGqcXKQxvnt0CD//x7Tnaaya+TF0e23ArbVw2UR58/Smz02FFLJRLsHURRJbiQzwnFGg3HkeXMJwwmzgj9AetFWExslkvtFucGrApTxI6Abd88yzfks8I8lMhDKGFAaC7NIqtIVnw6UuBhJmwhaiAp8rjL7zINcAhGaHRe7lOHtGmDNivXxEjQsYfn6lImU3CpCC2wRohuKrXNkqiFlL4p3XkTNn/1i/Tf148tQcFtvUpqTF6YoyhCm9o5WA5gVnuZFg51bq96dnOXWuWoZqmQVBO0ywzFxazkWQIAzRPzyOUhxjz+591L7lFfQP0CKQdNo4c9Yt9gBxEN33tc8BAFqNJTz22KMACJI7oQzUmRavof4hy5+1traGsXFKeVleWsQEO6zWFjWee5z4FF7xCoLKQzPnBYCHH34QGTuUpJBYXCRjNwwZHq2BEnNQBUGAhDkflNIIeVNn/LhDQyNYml/gNgbWSA2CEE89/ggAYHacnFtv+74fwSDzXA0ODeG6a4lX4OjR5yzXVKtBhmZ9ZRGNFr3r5ZVVlHjxPj/5nF3gRUCbGN1YBrjCVGNWYu9t1A97JwZtO586teD0qUn9UAsCMP0YgiCwbpflRoZrriNn5DcWqD15q41KlZ693FPD4hw5fS5S/is9l1JoNZtYxAJazYb5FqucepkmHdrYAmh3DF9PDYpHYp63EbMBJESKjkmLC41XAWAEP/K0ZZ3eMqwgZyP7vi+swXA2+E4sGZgNkLYcblol0NZJYZz/2t1E+EYKYB1dxsZL28jZoTF5bhZBQM7NLFM4f+4YAOBP/+QoP5uGYCdduVJDu8VOkzxDxhuItuF3UYGdVyDdZlxD242lrRLV7th2pQ2Jd1yzCwBwYGIIiq/xxPE5LLCjvpcDED0yhEroXSwvrSPrIf0Z2HoVrr+ZNiFf/+tTAID1tQbm5skI3rWziS1byIk3fe4o1Ob6Si8gGkLGNt1QZW0k7PjMc+3GljSOntCrJJy4wMmFeIj8P4UXUIFGzhxCj36j7YIn5v8hoCz3je7ivDE6p0wOsgztdakJnHqftew646o1pdYhSSlhLuhjKmwprmal8gaiEqXxEmdni9sYUPVheE4anXZX7jSONSmco79N7dVxj1V7lfTgnQdozjow0W/16bGjM5hmzkrFfCQxhKWwW6unyLnts+sJrrxqgPryAXL4Z2mKmRlyfr3mVa+GeREnjh2CluJbOl6+c6GNPqmGsUeU2yRplyrmqnwJZ4d0OUI9Z4+1U/xUM+H8UUpBsS6dPyEBbYKTJqXMBdlkUOpyBnRXSuRzrPPL44MT8oL2jc9B6mwh5R/xN4hnu3V9b+ZPbdPofI4eJIYv0lVlTNcl3vd2oi24ZusgMirWiseOzGC6Rbrbz/P2cBRbXsqyjFEu01q61FbYtp2OWZpjRyEyTncFtIzhUko1Aq5waobi5oqAFAGEyDHBqW7rjTZaTOOgteO0MuNGisDSf5CT2zmkwG01VRcVlHUQBVq4KpNxFYrT9B68dxY6NQ4yfkOBsoFjrVJb5ZWytM27tBOOexpJjniAKB0MX2ST1/H+vn7UjcNBC5tq2ehkaHaWu7tGBp6doSzvnowrbr6O2RbSyl5LBjFcRcjc2v26Tc+o4hiSHeytFY13voKCZbftGkXK69DZmVWc48qbWwTZVduqNbQ54PnpT/4lbnjNGwAAb/r+H8V1H7kHAHDvOXpve/ddhQcfvA8AMNDfb1PGNzKfbKoYZ5BquedXTQjLPRV5c5Jvv/lBfZeOGLMtbDgaszxDEDgni93/aY1kmQbH5z7V9pyivH7K0JvSAsjA6wSzThm99OYgrR2nJK3BTOmRkC61VY52i7n2kKPRMsGfAAP9ZLMa3r65hRUkJvVVRlCZc7Z6E6P3X9Ne5/yDCC2Xpu7w+hyWIEp0RntN4j1vpcDL3XsnkHK/PfDMeUyxQ3ZAUhvH4zJyXld1pu3YPrm8jgPXkL49ct88N7ErGmHXXaKiuLQANoVc2lKkLhZSSCGFFFJIIYUUUkghhRRSSCGFFHJZyKWH6BICQRQhEECnQ1EtGZagMoYCy7JFHxnou0lbuJCY6ifCEHrq1PPSO8SLkIGD0vtw4640EFN1UNiokfYCEJbX1INzBmFsUziUantEwSa9zEHru2CgED6e/vmiNbpTjUyEweWcWDJWCYiqSYnSAFeBclEpAcm/D2wFYq60ttpOsIWRT2OVENu48qVKGYk0t4IKpz/2lUtIGCEmY4HBwKUrAIBOpUUi6Ex77Sx1Rd42W8rlEq64Yh8OHzqExUUipE7abczNUV/nSYKevgF6xm1b6JyePiQctT383DFIJoO8/vqDyPkZJ7bSsdVKGdu3UbQkGe2g0eD0zVoN61zlJxjoR62H+nF+lohEt2zfiQcfoAqMYRAjCAzhpEKlbD7TvZJOxwZI2q2O1dnUrwDI0cpWK0BUMpWtAMXvOizFuPPuV1B7+Ngbb74WA0OE6CqVYuiQyO+juMdmky41CZkUlHpsWtjZqaMQARNSVkPoBkeczWAIK6hx1cYDB6oIOE11tZViYoAiWhM9AXZwSkDCxOWPz6+iHNGNe+IImSGElQohV2i69npKv7zr9tfhs5/5NL+DCLt3Exptfn4GC3Pn0a4TomIzJQhDDIyMIopjtOqELKv0VGxKXiAFKj2EQjEEtpVyGcsrBJUPowgpI0uUShFwZDHnsVCKAkviTkJ6oDKXNg1dgmD0lkHX+DVVhXRQeq28iq48X8mwDJ37aY4cLQwcqkinK/x7ZqGCQbwFk+fOutP4WJOCI4W2CJs9O3fg8HN1ew3TzojfbdpY9QAYkSu+JDVMepXQRoebkFzkYmQH7DhZaScY6yf9Ga9KbC0xspGjlU8sriPiaPXE0BB+8qd/BgAwPNqDRw79He4sUzVMosTnj4xMIOUxI8IStImwXgwR/3/2/jvekusq84e/u6pOvDn1vZ2DutWtbEmWg2w5y7aE5TQ2DthgwjDYJsMAZoAZhjSAYcBjMEMwZowNjnIC2zgJy7IVrRy6JXVON8eTq2r//lirdu1zuw0M7mZe856lz0f39DkVdlWt2nvtvZ7nWQaCghYzlPvcaORjmQlK7p3K0MKGmHpd2xeG6+hZ68YLm3pUdx/x5KF7fHfrEuDNrjt0VEoTlFzm2KGq/QIpacehNJLOmqNZ+yhkE1bctnkWPyUqDum5dTxOGsRt8aGoOJC3zRpMoL6RZGN3If+ONmg1OMIIk+RUYDl+A1OVNkyNNykXhwFYqreYGpU+evNAgc2x+GqsAsOHmm3m1KUjQpr6CvVVLLu3yrnv+ZpSNU2Rpj6ju795PyvLigjxqFbn3qzGNhEZPUzkC3K0naO3OOH1IPcvvHDD+uiY/Lv8Y05NkeAiR3rlEhM5MsvkgZEXTnkoDXeu0DuRD6GyDgmS/+wh0Gzg0Xv8tnrx3LdCirmqajnd0/lgFGLKGXo2wma3VSlwcZJCJOPSpq0lSho3LdTaTA3JmLCpL2RzST4rYJx7phcpaV84UCxS10qK5RD2bRMffPBu9ZkgIFWUnLED7j0OwioTihg/sXaYc23GhBRKw5QrMfOLQjPfuGkH8wuC1A1NixWt3pwVVUk79fzWFiKyeNmmQMZQyKrGJZBmVNq0g9F+Q9REcqaBc5gM0eo/d2NctT5M6GLNHOXacf2fTWP3VpC0nPj5oFbGLhYNpq7bxrmAfBgEGZHD80YL2XwirntzhJxu7eL8pJPPPYIOpk/p+4UySS0T9c765gTTJ/dpw0SHciQ07lqcsGlE/GJtboltY/K5qcUA9i/VKBe0sNTECLsvvgqA6tAurrtSCxbMaTXUx48yNysx6LOuewHXXC3x1B133Y7xkUrn1CzYBpiOR72LXeECE445tF1Zx+EkSWk2JcayaRsTZIVHIleN3Hpo1CQD8QaFrmfgYtLUi3UyxG8CZGjlNCZ/wvk9CNy4YrsBVlnsZQokcUb10zaawPli3F4lDHPfziqX2yGJE+Okg1/ELHQIRdMdxwHYRPtIMMWiV7/B5n2TgyvXMRpf79wa01+W+zq9XGdS53TbBiJ2VKQdGers7hPzRPpujPVXSXSsqBQirr5wRLa5bT4/l0/zdpYSKcLuPEZPPeuZsx6iq2c961nPetaznvWsZz3rWc961rOe9axn/y7sOw/RBWAT2nHH8cexqStRn6Yx1gkvZ+ZlFa0vqhq4DHIuVms8LnGOojpTHNVHd+FlBCUjYPxMoMvI5O11GU1r8+xOF6U5yxrmAubWpjlSLIkhysrBe83yslm5tpWfYc2yAH42P2LDpOq+dBLmdUE+KKoAaLNJGguHvxBErCqqoC8pc6S+JNuakLm1WnZJADxraozPHJLs0GKzw7gKGtYMqJQVE1skIzK93+SZi8IAqAbbwGA/DdVqcpWpz6GlqaXeaIs2kj6zyQ2TDA4LgqBQKLOwINnTsqKuTh475EpRT27cTKsl97TVXKOjGhMzp0UTamJi0qFahkeGSXVtuVhqMTgoaKkD+x9ifIPoLSytSJZq+pv3MTgo53vssSU2bRaB+IX5RVdueHhoGIC1WpO11Sy7ldLXr8LrtTVX8jy74Y1aY112RT632zHfuE1E9XddcCEAd9z2df7T238UgM1btrNnl2gT/fkfvxNTkMxjJiTeqi+x2lFIQxix9cIM0QOnllR3o54VbmhwxZVPA6Cz+ihrKiZetZHzJ2MiZlfleB1186dvGOHvDwvqrlrO/akZwNCEZjdT2f9Nb/pe3v3OnwTgw596gFMnj8h9nZnns5/9LPsfXOLcmyWJY0H86C1u1Oo0aoJ0KlfLDI/Kc7ZGrnlltc7Kkvh3oViEgtyjThtCvbeJ6nkFpkJZEQTNWouuDKPr0vKMtq/1Y8yZXb2JSg714v7GcQ5DNaHLsJvigNPxC0qSBU4as07YtxM3CbJzBCEmzVC1qsEXWmwq7/Rjjz5MQbP87TSgWlGB1KwAhU1xwtjGcOHl4vuN1RpHDy9re7Q/i2NCRXMMVgqs1OUcgwQcXpP3NrUBC6vSNynYlKePj/Cpo+JLL/0P1/Pkg+L7C9sv5dnXiYbJo4dl23tueYIDB/YDcOiJB2movkYQFrF4Wonnw7QYSTb2CLLYG8tU/yO7n6VSpUsfLs+Q4yWi82O5ocOm5AULUg9ZZPIsvhOTtQ6xZW3HtcEYQ6rjqENRB+UcbWZCT9zbYLJn7JC8DVwRF6yUS9d2VkrShlotE3kOyMayuL2co4FTT/vH02hyuixhwORkdgw4rRpbGSAobbcJFGkW2RarDdm2nJQ43BB/ilNYXBE/a6uW0r6Bfj5/QgbOK/btpFTTohiFkkMW7rlcrufYoYhYRbnrtTVGx6Xvmpqc4v5771oPozt3ZkS/zaZZoZvEoUVS2yF04WDWf3TrGXYn523Xl7ZLoN64vkLkUTMtttRDJ+iWQZTry3lHEKSXa7hrV/cnH4WVtS1HqOWnSt02Fn/s625Lfi4P/XUGEj5HxBobsmWzagXakFMnVGunpD7c7rjQrxR0WFFkc7ljeWJF/CohYHlNfUkv49kbR/ngfin20l8psnVYxtrZRocM8Di5U2Kz6aMd18akPesQkzaosLLi6dieY7NYkiRlbWXRMRLmZ2fcu77WXMPpKWkMYsIoF39PEicwbgIPyVcsu3OYbP+w4OnbGtJmLvTu+qys3yHy4m3wmRdWfTJVjcNSqUg7zjXNTIaMiUoO+ZKh4+cXas53qn1VaorYTm2Y+4NDUOd6TSbqy1Fl+LpKelZjnG6ZDSKmJmTbxFimtSiGE+pPQ0LV1wySlovD52cCFhfkWTfrHWZbsn2oqKF9pTKNS6VQzLXXPosvfvqvAfieH7uUl9z4cgCO1x4C4Ir61Xzq4x8B4Otf+zoDQ1lxAev+Oz9msLbghONt2vamSysQSDxeb+SaWFGkmmqtmFx3MfQQdhnKN0eN2jR177I1qdMrTdPYIa6yv6VSEZB7XCz20db7ajCsriiiMszZFd4MMO/CjTkDYW+tdUWcRJcNbUPHCeUvaeEum6SOYZHY1Ot7PJSpE+33CqqlBq2LRZLA9Ko+x472j602UUXZHGmTpZrM76pJmWZLfLuFZWVV/GqtJcd+/pYx3vvYYQDmbYsdI4L4aoYBlYK0Y+eF0kkdfjKma+5r/feyp9HVs387O28LXcaY9wIvA2astZf+E9tdA3wDeL219qP/7IGtDLB4gnbWJo6kZ+36SkK6WOUqIuaVqATu3Mm3AQ3Ec1h+3jmlftx8BvzdAmfC3OV3J3KYBeNdgVn+8qc2cRNSR+mzqeuwjQmcsOXZ4jXdKDtrTsew1gUbXRWDMjFgkzA5pAN6PYCVjF6gwUOYOKrQ5VsHiTUiq6UdFrSDLKXQ1k401TbMtls8bZPAWU81E1pZsGIskULzR/rkWNNd4MLAm3QZLr30KQDcd+dxzrUFQUTfwAjl0mnmpmVxanJyI+NjMvnoxJapzTsAEZMHqJT7mZ4Vulm12s/GqWEAxiYmOXpYFlQyH1hZnufJJ+Vc1UqVckUGxsCETDfkGHMzM2xWWuSmjSKI32pbBgdlEKk3Ghw6KOLerVZMrAsfLRVELkQF51NBGLqgsVgs0c6oTl3UDtmg3Dfg/MmYgJZO6rbt3A7Avosv4pHHZIJ/3dMvZH8sorO7dm7jyUNyna2M/koHCtkktcXmKVmkm1/pwKq0IVR4fbK0ysatOgqfPEysNNCGbbOgBR8KCbR1VSJWZ5/rdJw/nWi06ahPN1sx7fnTco9VRPbWr36e/Y/Jwtz09Cw/+WNSSejXfuuDbNgwxcEoF9A+V5bEMUuLs5TKfVR1sbFRb2CVk7JhwxTzC1IIIFsAmpwYZ060OynY2AnoNxuLJJmKcEZRTQxJO1vEgLxCUYjxRHfdpMwFf0E+0TfGg7pb1//kwTgeXN96i+WpW8SgrRWuTJEME18utZmclGezulJnaTU7mNJ4Oh0KKqrfiVu0s2sLS47Omy3iBWGBVPvKqNTPy55/CQBf+Nq9HD2qCyxZH1qCRAPe3eN9dLK+KewwrwvvxRiabb/Ph9OtBk/fIO/X1MgEQxvE5y/as42b/076mR3b5BneYwz/6Yd/AIAPfuCviZVKtHHTFmZn5eE1lh/nfJgxGQ3+zEm9tW3XT0ZaVGVoeJiGVu6U5+yNSd5kXfZfdzJX/dB49DXy8cVVj/Iq9lqwWj0tJffr7LnLv7PzdZzYdBBWPSq+tCttrJIkWWXWUj7xMCG1Fa3CGWSLNP4CXr7oIeSajBakFJa0AcWcYqbr9czVS8y2xAeShh6/r0RGqLhsY4Wkk/VNHWZ1sbQQWxraZ61p4Y8orHH1eFbNMaal9I7x0VFOLsvz2Dgp7TpyoEGQUcyCKNOiZmhwkP7BDax15jkvZjOmcRbT5D8FQWldAgShvWZ0ZeKuOCOvJJYvFhn3nGMvKeifPv8up0Gm+fMyplv02h0jiw3yBKHB0FVhTM/tpCY8mqMx+eJe10V0VSL1P2Q+5vWP2bV16vl8LU3YtVEWoY7MtwkGc1oRgIkid4rLNxVo1MWv1hKYU18qp8b5UhbznW53eOF2Wdw/VGs66mIYWkL1q6kpXeg6kvfbInot9zIKobbmOuFzbja1dFod4jiiVB7UcxqWVfS8WCjQJqOXZ5WZjWS+AKIyNvYWrddV07TWerRwP6kTuIVxbOItCmeLqR1sVokW6/yXsILJaPQZbapVd/ccU3C+HERFJ2lSa2S8eSjoOFOvrbgFCZumbnwnzPoYaYe0wLhrk0qM6htZ7J3EWKWu2qTGpbvEh56cS5hekPsXDutcoJ0QKK36is1FOtr3rARt5lfyvikrArBxQvqj+aRN+eGvAnDBD/1XvnbLJ+X7mSPMHpPKWoGVhHSjWaKpixpRsUqpLG2r1euSnPin5FL+tWYMJiyTE4whCCte/9TBkt1buebBwSFWl3VeVZz0xq40T7KYiu5jve86ruMzJI4eGURlSlogqdGUe1mthOj0htraInm/kLrFJVdIwys6Jqb9kSdtkOMkknxbkxfeCcKS288lGTxqbBh5RXow+Tb6DgRBmA2vWGt51lUyl7hn/1GCtvZNoV5Q/zBGqzNfs61MR5/5ctri+FGZlwTthEKY9WVy7Udqazxfk+7TxrKqMg4dA6MV8bft23Sh64k1d50W21VoJE56C109+7ez80ldfB/w0n9qAyPR9G8D/3Ae29GznvWsZz3rWc961rOe9axnPetZz3rWs/8/sPOG6LLWftUYs+Of2ezHgI8B1/zfHNuQUigU6MSZ6GAukegyJfq9WOpW/EUcN4OxW4JIsvZJRrsyKQQZFcM/p79i35310w08Ggh5pimw5Fl4/4AeHcTB+ENyGFb+uy9GmMGck9SjmmQIja4EpfFQXDgqgctgWeuy4xDz4MPyqbrBuHLVe3ZKFqXdV2akTzKIxqYsr8i9Wu6kXDgmYp3TtaY7dlZVNgiKrLbkWAvNBqeWBa0zMVqhoyv6IxOKcBquk8w7RWCyNMbg4AA3vETWS++78zOca4vjNrOnT7C4tMC1z3keAC+4/kbuu/deABaXl5mdUdRGXa57aWk+p6ZSZWFBKFDHjh1kfHyDHlmeSbPVYXBAkEyddot6TbIwey7cx113ith8dWCYTVt2yDXqeZOkw9rqkraxQ6Uqz6JeXyPIaEoFuXcmMISa5QyjIpNTQi1rtducPiVIpwxVaJPE+V6z2QB9DkEY0T8gmdkH73sAgMuf8gySaUEg3fKNA/z6r/66XueJPIuJV+gho0kScufdkk3u2xARqgD4vq1KR71iErtwl9zTOALNRi51UnaPCipout10iI/QUWwLrLYlC7zQbDKrSLGJsSqRptkHRuR9/o0/+BVed+P3AHD/A49x6NBBAIZHNrNaqzk66Tk1YyCIaDXbYDK6QX6eY8ePUFDE2RVXXAnA0SPHHEqhXluiWFLqRpAS6XNONOuYxB2qzg/qeR/hlSWXPiTLjmfZaq88uwm8/i9QYV1yREMU5n1X0nJZatuug/UpGAAppao8r/GRQU4cl6xwYgsu8+oywFGI1b7LFMGkHgIj65uDjEYVuDoacbPGH77riwBs2DOFUQrb068SdOGaqTExoHSdWocVRUqsLa25vulkuwFhRg93HBmW1Zduuf0rvOUpItD7rvf8LibSwhtjQpeglPKXf/V+ANrNVVdwohO36NN+sbHMeTGLZNGto9MHBN61ZPe3qbSKUyePeSiHnGLfJSPso1e6B7n1G3R/b/OMdobCsQg6S/7RcfvmVFnjqNayTU4VcgVXFBUaVkZIOppxJsAqirgd53Rrk1E3glzo1lrcGGhMkFMlMwS1bUGcZdhrfONOyTz3b0qFfgs8RanW9ULI5kF975oJcwpNnG2n7BlTdHK7SaCI0IJSwgdGNjKjnP/+0jAvf+3bATh+5D6+/pmPS3u0CEibFYJEBcgbMYWifD8wMEwYlc8PakKRJTap5eFI1Id7Bgby4jVeQRwHqzDr0DMO5pf9miO2jEdjtBHZCY0Fu+4cFjAZghSTt6ELbZXmX2W0I3KkoB/4BMYTh862teR9Xpr7dq6R71/P+nvv0YQzS/PY79bb5feBjRAoQmnvTvm9FRq2jilK1cLcsiDC5zspe8e1b1ptEGRjt6LH4jRgWdHVc60mx5fkndg+OkBNKY+DAxnt17r2BFGFK6+SfuyRRx+n08oKfpwHsylJZ0WFvpXe1E4Js0IPAZQVZdxsZWiaAkR6P5MOaBEfQV4qzdJkqMhO3mf7sbe1Odsh9ZBgcUbTTHH8zrRNUBp07XXP0iGacxobmBxh6vFebUbdN3jImoJDDpImeRxtMxSX/97YvDBHWHRyK2kmvh9BxiqxnZgv3yZ9V//GkMDINldvl30WKTE1qm1ohyyuSN80P7vELo2bZpotinp/5lbkuJtHh+joc/nUx/8H3/e2/yW/H72FW+98EIDxMYG5/vEHP8LYBkHbT4xv4HnPvQ6AP3rPH+Kjic+tCY29C0FpE+98OXU1+31lZcX1Nzatu1jHBC2PFSPXn3Zi8mIUQS4J0YnBaOyQtGl38sIFILISWcEE+S4b24L1KgDKmvHmYW6cCrqKbci2eQEXrPWA1lGXZID83+bMG8K80zI4mn9XW9z4mvLRTx0DYGBTAaso72uvkuvtlCyTFWUKdBJOz0vhiNPtlIs2CJvlVK3piWPoecMyK1oEbiatc2RefHDvyAhzKiswPCExuE2nIVDKpNefR1HoUPE969m/hf0/0+gyxmwGXgU8n39mocsY88PAD8u/evr5Pfv2zPenjPLTs579a6zXN/XsXFrPn3p2rqzbl9brlvasZ/931vOnnp0r6/Kls+iH9qxnPevZubL/lz3MHwA/b61N/7kMprX2T4E/BTBBwVoCOnEuxGs8jQYRYc8+albGRB4Wy0MQEJAmggAwLktuvPLD3nEBX9gyG+i7m54N/l5ZagKs6V6l97ODlg5ebXPRMQFM1Jfv45KN+WfJ6mcXmmW2cz0v+aNZAVHS1yuQNpYHE/dds5YKyRqozUcUBzRrUpMMxxXjIwQqdDi/VmNoVNoWxgHtliJ7OjFJpmeWZSY7CauaJRkqFzHKgW/ZhETF3BtNzXxEAUFFs13NyGnpzM2v8jvv/F3Opfn+FIZFe+r4MawxPPKwCHIur6zyrGc/F4Cv33YLsV57tSoIj4HBYYey2XfxlTTrkqk9PX3aJV/6+ySTsbKywoJm+o8cfpJY99u+bavT4Gq1Wly4W/j0e/fuA+Afb/kyYbgLgLvvvp1FLdsdt9uE6quJoqo6zbwEsfWKLSzOzxMGmS6S3Odqfz/NpjyTNE0olSWrOjI8Qk15+ouLkt2ZnNrG40+IRteRY9NccvFFABx49CGOH1VNIkX89E9WSBQh01g2JB3Nik13GJ+Sc0TqeyNpEav6W6utJpU+ycCGCU7k38Se7p76U9KJaes7ONZfIdAsZXVgkESP3VKduGKlyp/95btk/0bIzOkjcn8veipbt+zgsfvOzQJnV99kQkuadL2nknrTTF6cuHfg2NHDACwvr+U6gBhi1RcZHRl3IqSLC+I/Iqmc9Tthjo6I1yAU37Rpmqf4fL0+3VYKWmQWeNtm6NA4F78lxGTnCBLKFUGhNNt1vZ6UlgqXdpI+xlTXbvr0SYiq2f0BoFQsUtCXY61epzoo21YrZRa0pHZD+5L+DWU6LdmvtdIgVl86uf80pQ3S4LlFySS++JorGOgX/7rr/nuIs3LXgaGjKKegkxC7jjMTJE5o6bUdefwxKqH8ftXTnkdNxeYfPiQIUlM01GsK2fIQITPTM3lm/hzZ+rHO2BSbJp6WDA6dF0YFAu37L94nMphz8wtMnzrhts2zyXjjTuZvfoI4F6633gKbDB2ezhd0oZtNELkxR5Bbubak/I1x45vBjW9BUHTtcbqT5LAJa5tY1cmJooBknU9jLCbItOQ6BIrikOehY50iZQY2jJMqcnXt1Dyx+tnKdEhlQEXh1yTTvWu8yLDe6+m4zkA5193JxrowTmnE3cijPdt3MrpFCk08dOAxdm4Wn3zkoWO85IWCSP7Q339W2xuTKsolKPVRUm3DC/fs4cGHH6Y2f24WOLt9qWgDE0BYJVUNsiDI9YME++cj1vWvK0DgK+h4iHYnEi5bgfRNLibxkFVgMUYRou5QSX4s6+MOPWRqV/yUtyGPvXINO4fcsB5a0evzjIduddsa/7jd5jTnFHXWNxLRUd221nKbWMfSpdMFioPy/cqq+MmV24bp19d2dq3O8LDETUGS0m5qDNpJnKapA+AGKU19F0crJULtNxNjSXUcb2YVWoLIxcEQcOyYILhbbYvJkJbnyHx/iqKKrfSNsLy4SKookiDMi2akSYDtZKjv7P233thiBTGcfXZFljItyTCPw00h1+br8oHY+Yt1ul3kzz0s5/q4Xgyc+1X+0fd1S0IQZSLj6itpHm8RlDwmR+ChdzJR8NhdT1AeyNtrckQSiuLsGw2wig6tnwzpNOVeLp2E8qDcn6VVaeQ1F4yggG4OL88zkvlTYEkzf2h3aGnM147lnly2uUhLmQbH9j+As2KRCy64GICv3CXfd9ptTp88DMAvvuMXuOUrXwFg6+YtHD9x7jRyu/qmsGLB6FiTIehCbJo/pzxGyhCWCTkC1ZIqetEUK46RYlKfmaPPw1hXPCEqhiRphmitkmaosOx9su5/4n8eEtp5kvsupUtg0EkC2pxN0YVmzhBoeYEWUZjPDpchCvP5qhw/97vsnqRKoekb7EAgPtFYamOt+PDKTEp1SM69MC/36apdY4TanoVWnQ06XzFx7Po00+zQyaTv1G/7woRF1VftjwrsGx+TczRb1OaF/bHUVCcNAtfXBmHkYskgCLBJhtzuWc/Ov/2/XOh6KvC3+rKOAzcaY2Jr7Sf++V0TXdTJKzS5RaacreECLBkMPeiryQQmPZFfJ66aB+ld8Y+3cNS1+LSuXV3HIhso3epUfixzZjBrgmLe9DQLRktenJg3SIJCb7B1TcwC0CTvCOM2VilRxRGZEOzdtkCkA/NKPeHxR6Tz2rm1wlUXyCT0+PwSAKfWlmjX5dr2bR0l0FnHlqGymziGHcOwCv5OaxWhpBByUuGsW0b76WtKe1daHWYXZZuRYaH1mdCCycS180lQJ265yn7nA+xqjKFQihgcGuJlN74EgGr/EBu3ysLT0PAwg0Na0W9t2f3VAiM8vv8BXvRCWRQrRHBQRdpPnRTYcKlU4OBBWahYWV5meHgYgK9/7VbmdGDYd9GlDA7JffiTP/kTAFrNFuNjsm21HLGs7jI0OkxZBULjLOButdwCGsDp0xLsNmqrThQ9ykQlgTQThDWGVLuA09nkGCjpgsbP/fj3cdU1zwDg2KHHOXLkKCDi+GgFyqJWhHraUyq02zppbCUcOyzH2r0tZvdWCbKOzsmiyGJcpzYrfrF745Bj+W0eqOb+FMaMaPWqU6syKCbFkOmm+OnkYJUxfS8OTc8wMCIVLOtLQkVaaazlgsk25fRpeR47du1lw4aLHS3w3JqRBaP1Kt95GSBaNV0UrS3l+3ibJxosLcyeIIuWgigTVTV0FDbeNcE0UT4hs3G+AJDPnLzJkMFkwXvcxBeTlr/W+y7OFybCiFSva7B/GIDlhXmyfnX69AncRDes5PvpNbRaq6RFCcKGRje4ycjc/By2LMcrjUm/vG9zkx27ZNFgen6e278m790FewOetleKNqQl2acRWgaq4otbJgawWpVpS38Fq+eIojZDSvM9rcUOOoWIBX0PxktFPvjnfwzAf/6Vv3a3da0hv//th75GUvMzGvJ9kiRUVRy47mn5nzOz1gXHmUuFYYlQJ0ZJHJNN4R977GF/R22m7dLzdgG1SwT540k2iQSsVxHNRE7IN1sIMxTyuaIhF/r1Jqx+YRbbRaXUpp1tgTANyZhPNqjQ6WhlOgOYLEjWsdvkFSP9z2Ghih0U6naxX759043jLC1KX3v0VMjtd8hC5qUXwtW7tgDwkFZzPTw/R39T7u/uiWFS9YGtg3nfRKvFhgF57qdXpY33PvII/+kXf0Pa/om/4vBjhwB4wfXfzbEFmVwMfuWWrJEQZJThhIV56bO+ec8d+cLy+bDAgrUEGYrZWPwCBHmo4y82Ka3KryrtTejyggLW+ajtKnlovecf5gvFmRh/VHbbdiUsMV4c5sVKGUW7a8EjpxXlfZfxqJSBd53AuuDN70uNR1EiCGBAKNLFqhzrkh2z9GksVWuXufMu8aV9uy3P3id91sNHZPx9/PQMA/1yr/dtHMHGcoytw/2OVluII4Y0bjqhRQsaYcAxVcHeNjJAQa//cK3GSa2kOKFVocNyi1Q7nzSxzC8syfdhkU5X4ZJza6lNaTUayIJVNpktkWbFncKAQIOkOM6lQvKESprHw2kLULphVoEzLOQUbfyKciYvnJImXlEEHd/CYh5bpwm2rYU5SDEqG5BX+TRunLKQ08mSfF6QvStpp+U64aBU6Fo0cxRp1y4Iq8Py2U8sWUh07CxVpM/83V/5D3zzm98A4LGDB7ntNnnul1wY8sLLdwBwSOOm44vzbNwgfdvWiUGsxtNbhvrcfQsKIcMlHeu0Yt6TM0vsulSqXLf3380f/LIU5vnJX/sYP/Yj1wJwz/6XSxOjEKtJpv/yi7/gih9YNyb806CEf5XZlDRtSrLFibBXnYSMVBfOnlnWl6QkWbLBWrewVC4ZrBVfarWyYxlCXfRN46YbB+NOjAkzQAH5okx23iDvd6xN8oqhtkleVTZbKDNe2Gcx1p/rZUkhD0DhFuEtqc71krhGEGYSMbnsRN7/eQmowIDOSyp90q4bn1lgcVaS1GstuP0b8vmpF/fxjL2y7YEZ+e7x6RmKKjD/lO3jmLa054LxAXcdQbvDeFnac3xF/HKlHXNSi2FdODjkJAHmU8Psivj0xgmJxygGoD6apimBXn8nLhAWhgGI29P0rGfn2/6fLXRZa3dmn40x7wM+8y9b5OpZz3rWs571rGc961nPetaznvWsZz3rWc/OtPO20GWM+RvgecC4MeY48F9B6g1ba//k2zt6CISesGiaZ/pMdAZU1JjQE17/FoKKLtttvRV0f1s/S3mmGCsmyDe33vH8krw+TNoXLjQZ3aPjzp1nSlNyaqPfhpg01ixOmKG4Uid2ibWksazCm6hIJlJYMWuuCU0V84/CVHhjwFhfSKMpK/Z1zWDEnZRIKVczSzWsIiEePjHHjz7jMgAa5SoLuup/+2mhFQ0NpxjN5sXthESzb8XQMDKqoohKbawORqyueGgAJ8pYpNM5O63gXFhqU9rtJtXyJHfceTcA/f0D/MarXgPAwvd8Lx/6gKA8+gcli9qoNZicFCRAs1FncVEyp6dOneaZz3gqADd/QrK6MzPT7N69W/avVqgrIunQoScZ6JfMx4kTx/hf7xKB0CFFdh164nESpe602zFbNotA6MLioqMxjmhWNygXicK8DHRThWxNEDn0VrORibW26RtQlFehyPZtQo984P67yerctxq5iO29d98BwIap41xyhUjpra6tsbAkwuNVReHV6x2HRipEIf19KrBchpbS8dZUrNd2DIm+rycX1mhr5u3BEzE/fq3401qlwrJmJF/2Qz8DwMGjj7FHaUXDYcxDBw4AcNE1m/jS7bcA0NGs7PjoIKcX5F1ImjWH7nz0kUeJE2jUz1O224O7uy8cx6YbseD+mnV9CUi2O6N2qdBuVO4nbnpILkX2dEFPg6I7SuAJu2aIDGOCXBzX6/1dX5p2INUfojxbX632MTgoSriXXiGCx1/+4t+RaB+yecsWjh87KceKWznqKOvmwjJxR9q+3Kg5AWpLAC3x54FQ/DIsWuZW5f0Jw5CoLNcxVA5pteV8c2uSmSytrfHA/fcBsGvzBBmw6nOHj/P2qy8BoFGtsKgizp9//Ak512CZnVMjcg4invv8MwsEP/+5kgUvllKaBe2D2wGOBoqhXj+31MUuMwFBVCbttJwIO0nbPbdSKSJR2l8u7pqLsQu9QT/6CBh/HMpP5kSx0yQh6QiKIIwGvHG06PbPE9IW69DSPoomQ1Pm2Wmh6XtIH7oz3TZt01Y/DIupy7yHhQHdF7LiFyYoYRyNN6cl2bSNXRE/rCgt++67nmTTVkECDvYXCQvibxsGKnQUCdtM82toKCrw4Mklmk35/a5Gh59/vvh9rVplSf3pF//gvQC86z2/x0OP3QvAD7zlbdx17zcB6MQB732fUO+jkrR9cKzAyskMJRcTW7mvd939DZrNNeL2+fEpm7CuWEV+j/0CA94eHgPb77vAf47y52x9m3x09DJfENwTts99yXjfmxyB2EWp9I+VI2UdCs1DnrnzQo7AIC/gYO2Z12Nt4uIxY1NMU8bCUil7zzqsOWRjRFBUwe/hMg0dd2vqUwYFBwEHTy27Pvbu5gzveK74UqOvyvyixE2fOiDUsIHBEltHMyqRpaP9pgE2jkp8EKu/lvsCag25to0bxvmZ//wLABx4Ypq/+NPfAc4PEl7iyybDwwOsrUq8l1pLsawxSRBKsRtwSBjIUVwmzAXGST1/yQcMD21lPHRPkj/jqOhiFudXcQ1CLdITVrBZ3J+0sEq5QmMIE5UwWYGNtNOFbnSsySCP4x3NN8njdJumjk4aKkq8UC7SibOCGF78by00lgDoH5T9jxx+gpMzwgLoKxcoV+T7HRNV2kpvPuVQeoaDh8RHhqtF51v3HpvmZ54j/jRVrbKicVO45woAGhPD/MNXpLD9j7z6zZSVpvaNO/6Oj332AwCcOCXj4uSWSU48Iuj+vr4K1apsOzs7TZq0170z58j01qZJTKCxiU07HgIqce9OVuTG2tChjqGDUep6o1EHH+kFmEq/o8cbUyAI5PeEFGOyQgllV8giM79PMwSYMGMClfJ+z0UcQY7GNcbvAT1EXzZGxXm/i3Wfo6g/R3BnfUyAmwuZsOjonGnSIWjIe1cqyPNemI+oqIxDo9VAa0GwaaToitXUbfYuWhKl8z9+YoGOSon840qT3/wuQfk1BweY10IYf39EkFfDw2WeeanIJJjFE04SpWgsfSpjkih1tDwQoVNJTBA4SQRjIT0fyMCe9exb2PmsuviG/4tt3/J/d/SEMAhd9aswDB2M1ZJD5bPuxpgwL7blL151vWv+JMDT4uqiGPp8jW4IvvyWQ7S9OpDkC1Xk+2eTTR+iHxTcgpSDQQeFfMcAF9yTBm5RKx97QqmqBxAESgtAOHW67ZaN8jdO63R0x3K5RP+kUsYCmFuWzq1PdQRW0zaxQlSPL9SIdOAuRwU+v18G6eu2TFIqS9tesVNgso8Q8+BjNW2OZbhPOuG5lSYFrUAVKDT6gg2Ge4/6wbNq6SQdCkoV6JyH+L9SrrDvoku4+qnXUKlkNMoyz37ahQAcPT7Ns64T2tsdt38dgJWVJQZXpE0vfemN7FF9rR3bN3PNNTI5vvnmmwHYtXMnTzxxGJAKkssrMskyQcj27VLpZn5xFauTwd16rMnJKe6+6x4AXvzSG3nowfukvdU+KhW5j8d0YSGOE2pKiRseHnGBcbvVotlQCqwuLKRx7DyztlYn8aoH5b6cP4dMz6C2tszaitB/CoXABaxbpuQ+rDabDsbdXw1YsBr8mjIzS+ID/QVpw3Kz5V6F5ZahptUTq6Wi86dnb5miUJBz3PshWRd/xvd+P9c9T2D3E4Nlvv/7XwHAkQMNGo2OuxcAG/rrnNBFEWzqKko+/4XPZWrjLvY/9BXOn+W6HV0Vymw+UeteFT+L2STfNovVO3X3HpP6i+VBHryTT+BSm9NZg0D7ApND9G2nDYXs+0x/xLgA0sZ114a1pSXXz9zypc8DEIYVFyxFYYGS6hm1O7iFmXGtVLe0suoqVdkgzLVYgrxv2qS+NDs3TbklPj4x0U//pFYZLRoW1mpdd2+hkRBnE5TqOI89KYsNpaDA36svPWfzVNbd8v2Xy/t1V3uNI9PyLk5MjtI5i/D7f/tNqTJ69UV93PaPEkwaEzIwJLoUBVNjbuZ8Qu+tBPxApM83thEFpWHW1mquYp9L+STxurHHm9Q7rS2fCpb9tTn91QQYI1FyknRc0sVVsyJw1HoJ6rOD5HpLXScw2cSD/PfAio4SuAmmiSCj21qPrmhtx01SrU5YgkKMDfPFrUAnIUmauGptU2M6oSkmrDRkTEvbLSrDugCexJzUqlFjSkWcX22QWG+syygxhSKfeeQgANdt2UxdJ9h/9+7/IfstzLJ9pyysDm+5hG+8RxYZfuWmD1Hu/30A1prShuc+a5hPf2xerz1193JifIrjx9fO3xTAhN3ygeukEPIFTW9R3FXGTLriJevHMrpPPgm2+Uls6hUBzSv+ZpambULK2b/yEOuMxOL68wWc7XTd12vdH+sd1024smtPPb+1cR5XFcqu4tlWYYzRjmPX71bLIZX+1B3jxLyMwWP9cj0r7TYtTUzMrLbc7RuolPnUw+JLL9i+iYImEb/34h0A3JfUefyYLOSHgWG4LO/4fKNF/5C8Hx1NDj3nGQN89lNCfR0d38CBx58ERM+yWz/tPJgJaDaaLs4sFCLaTXmfisUSA/3yTi0vnplUMsWy09WzYYe0veKOCbKQ6RY3omI+XiTeglRKTn90jlNwVXNFWEv1hkK/SqvG2HET99zjNpkXBcUqJqs2rOcKixXXdmtTUheMhm5xzmhyp9PpON+zaV7NMZWOHIDdW+X4rTSh0ZZrqxTLjG2W8xRCOK7+tGFQkphzqw06uro1U+8QOu2ziE89IM/9Rbu2EEZyL57RkmTk5/c/yugmSSBec8MPA1kis5+/+NifArn+4OUXrnDqCXmecwurJNPihxfs2c1Af5FH7z3FubcAE5QJTdHFJmDzCrwGQqX0xZr8FQ21bI6wCi7WMbhOO8vdxU0KlQn9LnDP1NAiTbL+JPGoitnc7mzJIT2makyl6YpuGmGUVm+cNI4u0truYxiPkusvidmujizz8RB//ug0zIpFUG3HbRvFn6NqibrSlfsGyvSNyr3qJB2OzGqSRUXeltK2oxQfnG2g0zAqUYkP3SO6vDfu3oaG4Pzc1XsBuLVT54BWcu9LawwrtfdUo4HVd6ap/nzTDZv5yPtl0dSX2rG2RbmsVY57Ul09+zewc6N62rOe9axnPetZz3rWs571rGc961nPetaznv0/tu+4uq5hGDI0PEIQGAolyX7MTJ901AbjZyldxq6Vw9VNlMuu2nyb7iX7LKvgbdu12u5zN7KvUpfxVoVe/ZjDYbMqaV2iiybyspw2h807tFbqQaoDt18QRO54DvAVFr1qVzmd05Yil4VsJXL8HQN9JIqLWIqbbB7XqortDn2acdjcLyiYdM0yrUvvxVLokF6mBRtUuPzIco2CwmpXtb3NVoNQM27NDsw1cnFhqxnJtqKPxkb6mdgs284cDFWgFIZGR1lezcSOz7114piZmRkO7H+cF79UxOhf9OKbUDYBN73iOv7n/3wnAJOTktZ9/19/kF/71V+Wz+//a5oKMW/U6o7KFWoqZMeObXQ6UqFwZbmTo22Ae+65H4C+/n5Szb4eekK2TW3CHq3AePedX+fUKUFv9fcPcvjQEoBDc4wMDzKvWcXEY4dMbJhkbEzQJwf0uBhDrSZZ1x3bt/HYow8CUOkfYHhIaAfZuUZGRlzFv9XlJe6+S0RTk3IICrGPlNK1bWiIpvrYim2xbUIacWhuhZE+ycZtHBHEXKuTsLgsmacoTBga0sxuM2WiLJ+PLK1R0DR8S5fjn3/tCxgZ3OieXXVMnseDD9xH3Jb7t1ZXv+kP2LZHYPdHH2izuiLn+9LnP8feS59OvXa+UkkqZGv9f3vm+g3vnfe6oEiRjlIZrpvSaBNLVNTMpg28LGa+qdA9MtRXVsG139FApI9RREOx7LVHkUFxk37NIAdUaWvlrEIhcn1LWQVKV9caVCvyeXrmtKvwWS4XaaxJ1nhu5nR+3gz6b0Io6HlLoROsbytaZ++mcVC0Ti1ts2ur+NVyK2HYyvmGVHC3ttRhTVGL9z90LwOKdqSZMqFI0CcXVygpEraZ0Q7jhB1bhQ681oh51nXfzXrbsEHenSCE3RdLQYUNfRfxsz/1owD8+m//HnOzXzpjv3NmNhtGQlK9t4XQuP4GAx3vs/vj/Mk6VIcxJkdsng0yZPMfDMahogIgtVpl03rosExMHePJAgQOyZejbVLvXfAp/3jjnpdJd8K9ISZQFEWauAILWf+ZtNco9MnzSUndWBj0l911FBVBvK00xIIit1aSFlOD2tfOpkwokmvTmIx19WaHU1qZqlgMnT/ZZsqU0ngOLS6TKp3eqJ9Xy2VW1xYB+PDH/opLn/ZcAFY5zU0vewsAv/17Py/tmZpk03bxTamRIe09emIeEVE/HybPKU2SXN4AEQkGlLqo5ihBeUEbQUJkNB6fgpj9sZ7cgI9c9RB9PprL5j5ju9CvGaUnxachyu7+cc9Co3THoOtF8OlWtmubDOGY99fWGhc3UYwIbY50Bdg+OExH36mVtMXOLfL98eVlRrUwxe4poXjHs8usKvV1YLjMkFJpO7WEjRo3HVxco5RVKswq3LQSIkWS1eIOzYZKCnRSmqcVQaL95/BIP1t2yrEOHXmYmdlD0obdVxMqCvRbiHV8e2YMQVikk4R5NcJ208WZjU49FwPPphm2A1ZiwLQdk7EXKAxhCiIKbturuk9ejdzGJkduBR7CxQPcOApjVMopq0bQWYDKmXRXRySNcSL2xTD3T2Mckj0Is3fB98WQoJBXRU9TiS0SR/LIK+IJoUP7pnIJq37fUp+cP/AIU4qIqxOze0r68+lWk1KiaMJR6ZtqrTbzWvwiChMG1Z8qxQKbVY7iiYUV+nUO0dZ+m06LUZW5ePef/1d+9Id+1V3Jn//OJ/WTHPcHf+JV7L1crmf//fOOunn40GEuvHAXaXo+eqdU5mhBSJpkjIcyQZAVNujL50WhenPawdoMZR1hQhkLDB1X+Tw1KuwO2DRDReUxuBQO0mOEFVxBs2wuGZS74jSHhE9j154gGNU2pDna3kONypjWHcfRhfIKcW9omjo6v2PjWBz1N01j566mv4JJ5fkWsr6g1XIVPGfW1tB6PpxcqzGohZ02DUoM3lhIOLkkzzwMAsYG5D1JmglbB2Sb/XNLVPWeZDVg2vUGUTRMZieaMj/oGIi0n1/SAmSVYoHNF0ifeOJgm0gZHWNjY8zOHaVnPfu3sh6iq2c961nPetaznvWsZz3rWc961rOe9axn/y7sOw7RZdOUZqNGs9GiT3V3wDihXGMCtwpvu0pKZ5nJPGvsa2m5bQOPNW1TLzWN01Hyc2Ru6zR1orxg8uOl1vH9jbfK79BfBGdtm8u++1o95OXirU3zDKoiIdLUOp0AOUymRQEDQ7Lj4eOKpJpssblPtW9MQE0zYqurbRZUYHnTuNzfDaUS7bJcz8xik7go96QSFFhWRMGXDs67THGpX7JLtUadvgnJFNQbHTqrco5SKXRli4uKukjTgOV2hkCBPReI4GFfX5WFJcmaHzlwkHNtfX19XHPN05mdnUd18fnbD36At//YjwNwweYCF+wUwfZHFf30/vf/JT/90z8NwIte/EJe9YqbALjzrnuorUlGKhPVfOihh112r1SusKoaQ5rDBUTQvtInmY+2Crenceye6+6LnsLklOh5XbBzG7feJlphqTrD6MgQc/OipTAzO8P46DAA1gY8duAJbU+eYcyKCRw+csy5dxoVRcgTGB8TjTXRVMozmYkKWlKuMD4p7X1kWq4ntB2GqpL2KROwovz/tbUONX3uk8OSBd1QKpFKEzk5W6OjSL/+YpGO3re1wY385I/9FACrsXx3/9F5njfumsMfvfMjAFz5wl0kmk0qqAZGHMPRk5odLpZpqj5OpVqh01pe1zecS1N0gHt/PfSDn8nzzRWQSBXJBZX+fhr1tXw/oFSt0MpEDUJPiNeELhlpgijXZsl0ucj1l0TjL88m2rYeLxO2DyNWl1XovVShpcLYjXqaa4KFWT9YoN3KPkPi0EMxgwPiC/W6tD2ObY46CiDU5xzbhKEN0kc8dkCeV2NXxJ5R2b+YGhbqck+WVzosa5b3MtU42dhXodORds0utYi19HU1KLCiGm13HJvDKkqjmaFSQsP4lOx300tu4mxD4U/8yI8A8JGPfJIglMzt1dc8lee/UHT4Dhx6Lc9/viB33vnrbz9j/2/bDNqFpw4JkOlqdG0DubA7sr186aEQTOB8Lxf2DbzxBn+Y6RbTzTS/HSIsQevKgE0cKtqY0InoeiJOZP5m1iFvLOvfhXzbNK0TRoN6GYkbO0PV9TGm320bBEXn3zaAIQ0LHjku6Bc7Af26bZmANYVe1NY6FLS8/KYx+W7rQJ/Tozwxu0aiyK1yELGk/dQdx2a57jnXAbDjYhGB/uT/+UsqEzcD8Ja3/Edm5mcA+OVf/VlmF0TXJtNWnJlrcvKUas1QcPpr2ISgWCVtnY/8oyVVtLET/w5yNJ6xhjTJdNDkGQZB0RX2EURgdiy/D8kGEC92WS9/7gANNhcjD7JCAxVSLSAimk1n8RXnl6b7s9smOCvOKxfmyvtd48VQpBniK/cvrMVmYtZpQlVFwx99XPri+gUFdvRpf2wMS9r3rK50WJyX+7d70wgAO4cGXJd5fKFB3JJ7GcWGxYZse9v+Y3nBmKygUgCFkpz3xHydSr/0dYGFsCj3rX9Q+vbltZSVhvSffZUKb/uRtwLwf97/IS666CIAHrj7JOfaoihiYmKURr3B4oIimtI0R2mZKNexymAoYYmhIelHO3Gco6rbNWyGYClK7EicFc9BQIGepqXTcTJhrqukGqQkHacFacKCC5Glb9L+QvuxlBwVLYLgmWOEOQPEIZg8fTkTdikruX5VdQSDUjU/lu97xRIj4/L89s/H2twVLhiRfiEMLc2WtH1uqUmkWmMbh+UitvRVaWqhjOPzNedPY4N9rGpsdvuJWTceFocU/Tw8zo6K3B8fzeXb//7QuwE4Nb/K4ePyXLZu38qlFwur4BvfuJ1yJcjjyHNpFn3v2phgQL/zNNoMXoykSONogCQrLkCao7vCkit6lTFh0qTl4jETFHNkqjGC2gJEGzIXlpcdfT1ni83QiEmNIFKkoNV4PW1jbDY2FcnniHmf1V2UI9P284Xpwxxgn3rjp6KZAx+hHQSMDsn39x8SH2511tgzIW3ojyJmNXZbWmkxr6L7uzYOA7C9v8+hkg8cWaTTkPYMV8u09ByfO3SKUJHdVZ0TLK2tMjgq21ZLZTo6fobpmhv7q4r4X1hKOHEkK36WF4lL4jZJ/B239NCz72D7jvM2C8TWYAqD1GqyqBCGkQxaSMeRBb1ZZ2RISTJRSkPe6XlI+K7uO1so8wVRvejfYNxLnU8wQm8+60GXMZ4oaEbLyMWqTdAN889h9nkn6ypwEBC46jMpNspmt9nu62Gy+rmeMjAuwVJNg/xOWGGwrB2+DWgp9W2NgJIGWStr0lFuH+pntw5A03MNmjW5nqGhMnefFLpGOw0YVFhsEkinOjnRh2o9MtRfoaUVB1MsLV3UymgCcSfGdrTDTyIWF0T4fH4+ZnEpg7Ofe2s2m+x//ACf/MTH+c9asahUHuQDH3g/AD/3cz/AK1/zvQBcN30EgL/54Pv527/9GADv+p/v5sknpfrfJz75abZs3gTAwIAMAJVSmapSQI8cOcyaLoSlSf6skk6HtSUdtLPAzQQcOyEVdmr1GoFOhu65+3bGlY5YKmcDa8Du3SKev7q8yOTkhJ7vGCMjAlmvVlRseW6OYlFe+41TU+w/ICKm4+MbmD6d0cyyxTgLbvG24BZTqoQMhOIbzYo8v5WoybaSwvltQF0pqfOpIdRrWlZ/2jE8QEm/O3p8hUQn74PFErV+uX8veuFLecY11/Mvsbe86S2896//TO+rHKsTt6mWxR/rC0uQZgLebRbmFojj8yXUm1EDfVqWRzH+J5k3+QS31WoSFTIBVg1k6vV8/7SVb29xQZ3ttLxzSJ9n0xBUzNXaNK+eZ5N80UorYgZRgdEJeQYL83OUSjLx6B8YoKaVDl0FT9vOC0SYKF/cSxustLIFuUzsPl9oCcOAQCkIYRwzWJDrW9EFipaxDCiNpxCGrCg1cTFuuwnw0pq8LxeODdKvi3T/uHialtJ8RoYq3H5CYfU2p770DcpxR/tLUqQDuPGlL+MP//K/AvAT359PBP7sL98jl2MbrChl5E//9H384W/LIvhP/Phr+O3f/mvOnxnp7z36n7Wxx6awBBnNTO9tEOYUU/k+o0X4SRSPVuavR7nYPMj9Cb+QQb6xGy99wV6beMPlmUVcLGke7H9L6lm+T3cyKL9m2cNbQDM2Z2W2YkYqKiQ9IH7R7g8YinUJMAlo6kLGWhCztiZjy/Ka+MfO4QH2KlXo1GyN+pouPPdF3HFCxiSiImMTQntttpcAeNlLr6XYL/HGb73zV12L12qrlPrk2Ndc8QwAbvnHWwmUmps22yRK0TSEVCqjdGrnQ/A5iwdMvlBgDSbKFp4CV201ZximWF1wMMU+3OTM4vnY2Z9dt2N53ztBcF2MMCFBxosRb/N2yyaG3ld+wQQvcWjX0RzxabAWL15L8zZ1JRVdx4rrrxtrjGzUMUQDmUZsGdSiG6QB9aJS5qPEyTQsrMg92zM6yGXjMv4enVmjpvT60XKFrx2VvqnRxFU8G9og79nEcIWaLthbLJEmBZMEylrNuNIv56pEKbVVGa9HxzdS0zJn06dPsVw+f+F9p93h5PHTpGnbo8UHVKpD2tbYxdxJmi3kGpYXZ3VTv+8xLoni3vlC1X1n044rdEPSdBN/ExXyRQKfVqYLp9aC0dJzQVDwfE7pYUFIqrTLIEv0oIsMmSh+ksXpuY90y6OAKeUJJffXuWOSb7uywtBGXSDRIgZx0TKsAuEkHRpaeGAhapNojJxVvts7McylE3K9x2bXqGsCaPNoyB3T4k9JWKBQlnNs2CwLruMDEQ/c/1XOZnVkEfRjn/grAIYrIwyqdMFrXv5KPvi3Mr4N9FdpNVvdY8s5MmMgMCmpCQiy2ASLTbz3O9GCBlmVzCR2ou82jQnCQT1WHrNmbZV5YBZrN8ne79T68W3qivBkRRLk33nAFmT9dLHirbdrlUjKrm8Samx2n8JcTsYtUnnzPJu4GMmkyZnzP2NcP+fPFe3aKiM6p1vSRfOV2DCmVRfX1mCoJG2bT1uEOnbP6qL0hRNDXD4h/nHw5Ap1LeY0XC7zD4fEJxIKXLLvctlvTQpybRyvECoNcmh4lJOnlIKYBJk2Pkkne2fye00aEmuiZWHpNKGOf+cr3dyznvnWoy72rGc961nPetaznvWsZz3rWc961rOe9ezfhX0HIroMSRJJclAh0XHqZWnCkkOcZpB4k2XFAYzJIfyQlxFO89V44xBU5Fk/G3RLQ7sMomZ5wsBBM20X5StRuhAOrk/OScGmXibSWkclcCWw/cyl9bKNJsgzr1HRO0b+MY0yikKHk6f1XhTl2i+o9PH4tMBKd45VqCj0e6TfUlGR84IK159YqrOi0Oh9k8McmlsC4PTSKpGig9IAyn2C/mhllaDTlFTvZbthCbIatja/jEJRS/IGhlSzmKQBswtCOwlNQpqcvzLZmzZt5Fd+5ZfYvX2Myy6/GoDlpSUefljE23/xV97PNVcJWiq1mShkm8svlXK7F+zeRbsl9/HVr3olH/rAn3cdf/e+Kzk9I1nM48dOuIxlGKYkSeaTKQ4u5corp/QrBbTeqDM4KJnSq6+6mg3jguhaUKH4Jw8dZWpKRNo75SoHD0n2ZW11maY+t2ZdMjmtVouBfkFeFct9VFQUt39wmD6lT77sBkFSfe3rt7GkaLr5+RnmVcS+ZdrMLIrPjWyQjPfusM7pNck8jpVL9CsaaWrcujLYzp+W6yzWpV0XTY2SluTaZhaXufUbQsv86Af/jn+pveyG1/LIo48BcMddtwEQ2w4NRf1MbNnFi15wAwB/8/6/5PjxJ+m0z1eBA0M3rSZdBxf1tlv/0aM1pp2Y1GUbM0iDxy8zIZkgahfLJyrmx3F/LB6HA5tmQvxtAhWIHxsX5dJGs01JRbdZXCAqyrObnz8FGaXHP2Ek2wZBTgnBlBlVJOHMrKJgAsvGKTnHju07uP+Rh6QFjQ5HFN4e9Mv+e8pVHjy2BMBlWwYZUZFnS0CgGd2Kvi9HF9dYVh+/ZGqYx2cEYXpycYVAy4zb0FBUIdRA++DBoSE6+j7/yXt+jx/6QaEp1jlElZ0AfOXWW+USg5ALdwiCZ8NVF6BV33nyyBKN1vnyIwAriAODow1KTjf0Nkm7/qYdr0ABOTXREOQizG7oyrPFGJ8uEXchD40TCM8cKs4z+12+HdJFF9P9z4IDozvHlh03RwsEkVcoIT1L3jeNc9RFYEg1QxwUI46cFv+OVuWZb92RMqe+O14wDCm1wo4EFCPtj2M51sG5Vdb0Hl48NcwTM0sAzK3WHW1s85YJhpWCdc3TrgTg7ru+TlELM7zwWRv50CeFVt1stXj99W+Uc4/JPtVymXtv/wdpbxAwOqxC+PU6u3dt5tGVx8683nNiFmM8LJ21XteTEGoMkFGCbNrxkC0JJhu/jfWeZQ6Jz0STrXfcLjMeylzRD0ncJFSKVhfiVY+D/5XJxepFxD6PyHJ3zemM+VWnHtrUd02PlplZoQRV7SsKAScW9Xt9dS4aKvGoUmL3TFap6j3bNhFRCLJxTv4+Ob/KclP6pqu2TPDwcYkDFupN50umbNFuioaOnytBQKoIjGIYEikyK4ygqejWWNEhcaVCqsifgYF+tm25QO9rm4X5Zc6fpaRJA0tCqIiUJIlp1Jf09xBMhtTzqIbZc4nj/DNJjj5G40FT8ZgQ1sXkNirlAvEW91xd8abQOpqbj6xJ05aHJs33yXxe+q0s5k5zyq5D2PtkxdT5jMTn3e+Ctdb1ZQYDShskSjh8QtHQkbxjz7tylEMrcp1bqzCk8diWIYi1Ky+q8x2YXXEUxadsHufJeXHOY/MrrvhRHHQY7ZOY7NKLpG/qr1iW3HOB2Y4gs//2Q/+H51/3dADCUM7brK/SqcmY/s37HuY5z5ECTZ///M2Uy4XzIkZvLcQdA7atqCWQQipyj0xQxERyTdksLIlXyfwqCENM4FMFFZmaB0AknRruHw7RFzlJgCAsqSC9HgMRf88kSNKk7vzRJg1yRF/W3sRR7cUvcxRjPgBm42juawQRNvH93LhDyIec5pjGCfRlBX1injyhiLWS+MRlwxXuPiA+sX20RFVj8C2jMKhFVyo6Zz40t+akHZ66bYKHT+ocZW6Fsvrr6Piwmz+MDm2R88aLTG2SWIgkZU7HT2sT6srYye57KSxCmvfXWd8dFvrZtUNYJ4/dd+5p1T3r2XrrIbp61rOe9axnPetZz3rWs571rGc961nPevbvwr7jEF3GGMJCkSTuOH6+nwlMktRDd8nKdBrnWXdZlc9X/3PedCZm72uOeKXRfZCGzdOC5iypSxNEeQbeJuTrib6mRJ6NzFAG1gR5hqpLJ8zPnp9F5No7Vp6utE6fgHaTzRNyLzpKpK632+yd0kxyp01L0UWjfSUmSioqrho2YWC4a0Gyje2gxrDywMNWQl3FMa21zM2IAG+G8mrbkE5WArcUUdJzt5O2y4GNakGBanWA2ZZkI47e1cguliSxuej2ebCR4UFe9ypBMJ08JdmF2Zk5Nm/eBsDi4gxbJkV8+on9gkLZvHkHUSb6b0P+7C9Ez+vSS/bRPyTIqpe+VDJhhShiYUEyaMMjY05vCWNp1CTLlKa5z0aZyCWWugqPl0tFlpeXAHjo4QcdMubkSdFy2bhxCzu3i1j9Q4887vTN+vsHqanga6bFYr2XZX5u0SG6ypV++lWP6Y1veB0Ar3j5TXzk5k9Ke4OAd7/3TwHYvmWKDf0qmlqTdg0O9DOi79BcvUFDNbAmh8r0q4BoUYUtC1HAsRnVCrj0Ir7n9XK+ux4+xF133Q3AT7/jZ/n933on6+2YanxsHZmgpVpir3rDDcQdecfLWlt6+5Yt9Ot9essrfoav3foNAHbsvpylhVO06tNnHPvbN31XzbqvfC2SLpFu/XMW4W7O0Jzx9gGBUDkNo8S9IzZNnIZJ3ld0HJrUYiHRrHJQINVnM6vv7vYdOzh6XLTaRkfGqa3JOxmYgKgiWdUR1TCyWJaW5Rl02rHTW7Bxh1lFE5gsY05CvS7nvf+Be6nr87r2Gc/g+JP3AxBrMYNGu8FFG8UXV1sxbUU3jPeVGMx8Kco0vAwn5sXHW0GNoT7xwahgqaleF4kFRfx0mtLPHXj8NIPDcr7Fpce4+5v3AXDr12/jHW8Vva61+SUAtm3cyKlE0IxbN40zponbscuG+ev3r3B+TRGCJkc/2EzwGZPrF7khK84z2sbmKC6sp6WTZ5tz1/R1ivLzdY1vabZ/iq/X5Y9rmflonPwQJsfedAnln6nXJaXd9XNY7B6Hs+0y7RPb9jR82uzQsS4tycalYsRW1Z1carXIKs1vHqtSVSRXUfvHQmT4xmHx6XoQM6iaSGEhYk01cY4dPsYDD4vPrrTEL8qFiFCfy533P8D7//xDAPzSf/85PvdFQafe8MIbAbj/3vu46Om7Adh/51EWlvRdwfDgQw/QaXpC3OfMVO/NpE40myAiSTIx7gBrMm1TeS/SdsMDYLVzxIOHvHPIvtSPiQx5QYQcMdVVhyPTWQo8TTkbuP2Mic4SW9n8ICZd98t6JFd+MkOA1eskjZ2eaw4DS3Kxa5NCQQWxOytsGdeiGYpyT5KYK7aLts1Ss0FLES5D1QIby3LfMkR8YAy3zokvNYKEoX7VXFxtksSZZlAiMQ4QqabOzPQa1X753CkFNBR9HIS5GPioFnYplwe4+jlSuGfx6AkmxqTtv/nbv8fP/vSPrbsT59YEzRVRyNBpHRhQndbl1cQxDdK2+nNSB9T3PBR7EBVJsyIbaaavVXRjh03aebxsgnwsS2Py/kJjfhORCZb7vU8aN7s8Qv4YN0eQYgt535QLhOeIWedhbkxzN6Lrg/Hj8MBitX8znQQFspAUxAc7acKeIfGblXaDhtIhNgyU6FM0TFnRyJ3E8vV59acwZkwLEjRtwNKq+kgHyhr3N+ty3t/85XfRZyTO+7X3/By//NbfkXsSdLh0+zMBuPwSKVwwOz3PdS/eDkD9dJkNG4Q9sHHTdo4dPkCnk7NhzqUJWD1H/Nk0xgT9+nkNEukjs6IyxqRgMz/IdVDFZzIGjRzb2pSgINefdmr4yLvMr9JkDRJBlud9SYjN+qmw5PwxiDLkFzjdwiR2503TxJv/pWf2f97czawrynKGj2Lkxcp+169Da9g5Jv/oKCS0XAy5bIsg6WfrdadFOTlUZmNVfKWs85ZiIeRLT8j8YSltUdHY3PRHWNVtbdZXqdfEr66++AoAkjThxMlHARgcHHTC/0FYpD9DLmp/FUZFtlwoIvbHH6u5d7TTqDE1dQ0Aj/GP9Kxn59uMtedrGDw/ZsKyDatbMTZxVYL8UFrAnwortdnkz6dzpF6w5IXgLvDyq6+wLkrI6COpO0c26FnSPPBOrBM/9ispuqpVmBza6gWI/gQDb2DPg7cU3GTF5ytlA3QutGrLfRDLoFgstLjxSulwJrTS4jemF7hAB8pqFHBIqwF2bEJBe9NVXcQqF0IaWg1mrZWwc6PM9J5x4UZuvuuQtCyxDI6M6j3JgpaYxVUZPMrFkFA75DhNqag4eqz47I1Dg5zQQfyBB2vY1QxSTk5dSU/eY619KufQnvrUp9q7776bT/797bziRhEL/u43/xQtDTgGRya47GJZ9PqxH/1+AD74gY/z5S99UdqfpOzZvUeusVSio5VOnvkMCSB++Vf+Gw88+AAA7VadqtIRC4WS86Ha2pq7D0NDMlAlNqWsFJuVpRVCpztunUh5oF9GUdEFIJunNjCtixb9/YMcPXpEt5X72dc/SE0FmNMkdeL3l116OZdfcZm0/elyix989CB/8q7/BsBTrnsRD93/TQDGx/u56YpJOUckz/qENfTp+1gMLE+sZv4U01mT57dcl/exEAQMDkkA9ZEPf4bTJ6Uy5Oyhh2kNyATwqVdexdSYiKIvt9f0OqFPgx/frn7RHlZWtWCBUg6uv/ZpPKFVFx98MOQHvucHAfjUpz7KE/sfoFU7Tpq0zsqw+deaMZElHNRX06PodJ3Fg9iDUJ6TTBz6W/TFGX2ia24X5AtaqbfwYGz+vmS/BxFOHNy2yCtjhXnMr5PYcrlCURe6280aLRU3npgYYccOofQ9/oQ8r4WZeUwmNh+ETE5IvzC7sJIHkKkGxjalXJL2NOOOqyhaHR7gNc+QBcmNg/L73x04ylM2ynswVI649/SSHCJIKWrftFST96UURjRU5HmpEbNrk7ThmXs38bE7nnT3LSjIfv26cBFFIShteri/j02bZaF4rbbG5ZdK0P+pv/ssAK950Qs40ZL2/K93fYRUi1IALOrljZbMOe+bTFCyYXkz1nawJqOTeUVPvDHHLXTZNF/csmDCfIEzD7g1OA2K61eyvM/ZmNNh/VRZqtRliZgw9yc5i7TH+8ZTz193fJ/Kn51fPoeFcr6Q678Xbn04yakglSJW+92+AcOrLpdnNdGvVakWV9mkjI/+UsTjy9IvdGxCp5b1TeJP5Siirv603Ii5YLMc65l7N/GRb4jf28RyxVOk2uLQoPRHmzeNcecD0j9OjIxz2UWy+PDY0ccZGJRFiTe/9i0APPLN2/jgzUJd/MI/HCQ02qelHaIoor12nDRpntu+KSjZsDxFEje8hSrr7qEv72AcNSzJk4TWSqVX8kWFbvPiKm8iZ/1JnVflMyz4/Xg+6XMVsdPEW7DtuhL3t7u77F7oknZrG9K8CILkEvT6nUyEBV3kM9U+UBH1ShVefvkwAFNaRfZrJ+e4cFj6yr5CwBMrOjk2KQU9x3IWN0Uhtab40txai52T0je98MrtfOhWkUZYWam7C+xTymRUCGmqoHOpGOaLw4End6DX9ufv+RMGxkRG4Y/e9Un+5J0/D8C7/+xj3HzzJwD48mf/+tz3TSa0UEGqr8r1hlGFJPHHlrxwUt5k/d22vbjVnhH3mkKfJ9id4ooQBFEuAeIterkeJOnki5rGgk/zzlvvncuLs01OYzvD0oQgo2l1Zb3zNnfH8XrNJUAF1gvBKm98psRNm4bku3sW1rhwWMbQyCYcU/mOxCa0NF5aWFVKcGJptOU+NLBcskNiqJdcuYM/+8Kjup/lzW/6TwA8cL8k9y7YuYsf+bGfAeD+e+/l8Anpx17+ijfxF3/1hwBs3yjt+vqXvsDWPc8F4Nd/6yOMqzD9zOkT1Otr2OYMNmmf874pKE7JuJXdw6RNtU8WlNvtGm0tlmOMFyuZAd0/zH0i7Ti/y8a7uLVMXhAoX9wKwrIDOFgSJyuSS8zIL7Jb2+vf8gVQm7pqPARKrwSPrkjK+qTlutHUqwBu3UBuXIyWV8alUpS5JVAttfm+Z0tSfawi7b19epHNZV0cDQ2HNMkd24TI9U1y3EoYUVNfOjG7xrYpafsz9m7iyw9JonOt1uDlr3i1HKMj/VyxaJnWqtyry0sUdHF+tblAo5HFKHJvtg2NceCQLFDe+fVVrz9PMIEWBKifPud9U896tt561MWe9axnPetZz3rWs571rGc961nPetaznv27sO846iJWSl7nxIjMPFTXOnpQEBawaSZ2GeSZbcAEZ8ne+CV0XTK6O4OTr+gr9D/wMm8GrzS6TzH0M9t+CfgcjeEy5cbf1s8BRG7b/BhZKfgkz3cmq46KUC2GbKpm+0t7X7R1jHZWZr2TZAlNtvf3MVSQe3K6INmKNAyoFxRSPWzYNT4MQKVQYkSh6jOLSyycFlpZoqK1I0MlxhQy++ThBYdAMpFlXBJIVPX3NCqx0FAaUCfyEHGesP+5r2xMYmG5CZdfdqH77sUveSl33iHlmOfnZnjn734UgH/4/JcA+L43vY7LL38KAH/x3vfxyU9+GoC9ey7gj/7X/wTgC18QxNdLXvxC3vGOXwDgaU97Gk+5QjL9aZo42mDc7jjB55XVLHMSOcH0qBDSVpRBp1knLGo2RLOn5Wq/e+4zs7NUqvJM1moNynqOSGmoQWAZGpFM4OLCAgUVMd178cUESjWYmJCHMzG9wIOPCHrl4Ye+yeVXC+JrsmoZK8izStT3Lh/sR3UrWe1YAkUTbgjLDI6KP50IJcN0zbOew1vf/rMALE8f54pLBB3xiftvY2qnoAIfP37SIbqGimeiuHwbHdzC2poIOId6nYdOn+DAUaXb1oYJVKx0/6OP0Gk24TyIqgKafbZdyPNuSIKH9ARBc3WhN7PjkL/2WcJvPZcnbeUbZ4cIqy4r6JCsPp0tLLisIDZx98EqbL9pIlpt/T1tE2g2sVZrcuKYQN3ra5pdjQqg/WoQVDh9SuigplDJM/CpaxhNFSslTEFBI6WgzXYttd6JheJy464pLRMOTQslvS+bqlX6FZk4Hcqx2oGh0ZFzjQ2mbB0SXymHERWl1NTbCbYlx1vS9m4YqVLoyPuz/7GTHD+2rNuucvDIQQBGBgSJ89mvfoNWn/iibQa8+z0fB+BH3/pqRrw6IOfaBoeGePYLbuQf//EWWi1531Ji996boJA/v8wXTOgyxMKUzWk6+fCUCcjmIs9dhQ58sz6lxzliPtaR5ugFS46m7lKzt/m2/n6OyuG9LEFGTQlw2fTsNxTJBWByKqaxlkCBhVU6bOlTxJqi4J4zNUhLqdSrnQSTyLE2hGX6hpS6W5Bt48BQ0752fAi2jog/lcKIimav662Yh+4T6uIlV0l/3jmySEnbMzq6lX0XCTVjNS7z2AFBVvzWH/wGAC+87gU8eXjeXXuaPTubEid0UVnOnQmSIQhKpNlztDFhhl4xBqOfM/+xqcmL9SSxQ2GK0Pg6lJ7Nn7MlR68HYdQl7O2O7Xw0p8xa8PrlAI9Ym58rQ80T5ueGnGqW/Z4muLgoSb2iQ1485orB5IgukiaoIHYlbLO5OiytsfKMXrpjvMuXMnfcNdzPiCJhT2n/2ALKGjeNDZTYNi7owL6oQKkk7e0bqtJZk21WFV04OVEmytpTqNLRd7QQQrtd77ojX/rSV3n2C3cBcPttt3LHva+X9uy6gIXF80+rjooRhUj6yWYrQRBe6HjTjZyTZ5chb7wCUVEJYi2Qoi9yF9PEGExXwYIM9RfnKMQoctvm50u60YvOnfz8vs+G0KYlLedPjoURBMRKwQwL1Xw/1yjW/dtrl/rOYBm29ct+hUCe+fM2DpHou7DSCUjX5BybKmUKg1q8x8p3hWqJWhZkBXDZJonj+qMiZfWntVbMRz7wPgA+95V7AagtHOMDf/EXAPzE237FtfIdv/vLPPbklwG4U78bGRjm45/9ewB277iQp1wulLVPf+J91NYaXffpnJkJCMIqaRIzqIyGLZs3cGC/9LHtVs2hlIPyVL4bZ44r1kS5aHw2N8ObvpnIScWAdQXLgqiUI6c8umo+7kQeLCQvP2B9mQgHQPQZRN3XedavnSt5PmXOnJobCwSKyLJ1+qy0PQPdXjc1RDPrm+LU9U0XDA0wWs76Jtm4kVrMiuy/dazKBeOCNp0a7KetBXaiYsQ3bhVq4fNueBkARw7cJqL4QBCOsrwsfczJ2WWmFBWWKqNgpr7M7HIeM3QXqulhbHr2b2ffeQtd0BVYy7+9lya1Xs+RBfQtrLvUJA+yggL/7OqJi+M8uLIJObPSikcjCYI8cDrL5MFa4yhWog2QQ7F97a7c/GP5C2Tdx+3SWTEFhgakw23Va+6WZRSetk3YPiqLII8u1hhTaH6t0WFEg8JBpb1MjA1S0OprobU0+jRgGxjmki0yCJ84vZA3TWH3M50amzYJZXLPnt2cWhCaY39/mY5q9IQFCZKW6wtMDsmgcazdye+liRzr6nxYaGCoDENbR/mtd74PgOrAGMePyaLd3n0XMv6YLKIsrywC8JrX3OSe6srKIp/8xM0A/PzP/SzPfpZUblzSINPalF//zd8EoFav01RoeqlUYm5OtLTGx8dZVA2ugcowAPVGw7lxVCgytVEqnTz5+KOUKlmFHNVrqK1R0oGs3khZXVM6hUehKxblmZbLVZaWZVIfhFBWCuknP/ZR3vajbwfgXe/+YwBu+K7raSml8qKL9zGigVfc6YBqjKTayLVGk93jMtA9vFhj05i0cW2phdWBsaD+8UOvfwMblVY014gwBQnYXvV9/4277vw8AM982kv45+x7flS0vZ44dK8bRIfGZWK63FzisguFjnbL0QX+8n3/G4D+/goDU6OcPr78zx7/X2eBvoJZH7V+odp2/cHk1Uqb9bq3nXETLm9FgPxl8PqVqApK17CdJoTrKCMeZQjjB2wd8omH7h+3CCM5X0JErAtDa2sLTG3cIFe4JM8zCgJHjUvSDgX1sU4SE+ikd1QrzVX6SpxWDbwYGB+T9z5JLEsrco6oKG1MI8OOIfGfAys1RlS7K0lTAr0nQ6qpNDw6yOveIJO7T3/iZo435B4ur7a4YrsIotzywHE3gS6oQNP8aps+hfzfdMP1fO0eqbBoCzBYlbbF2kfv2rOF5z3nVQDc8bk/4IMf+RgAz3rhd3HlhWdJlJwjq9Xq3H7HNwnDMsZkFIk2rjoYIdZki17ZxMyQptmYRL6QReSxZv1FqOw730+DfFHLWH+W4P7vtGvW+bZdNy52r9h6PmutXgvgqjoGhNlEt6vSojlj8ccEJh+DbcDEiPh8fXUlZ+bqo2kmMbvV3x5cWGNySM7RrnVcVDCg/jQ02EdR/SJpxxytyfg2v1zn8u0ylt1y/zFHwz12SMa0l7/qtbzxu18LwOMHj/MXHxBK0IUXbGffnu0A3Hq3VJT91N9/iBe/UNga//vArW7hMYgCQhOQnm3B8ds2qzRikz9PazyNLoNZF3uYIMRknPmoQNKpazuLUg3UMxNG+eK9jb0uy7rKZQQBxmb0lbMksuQH+eP6UdzvUs3OoyD6yU19V5NOw12Pe08iv0qpzWMvJzsR54teiWXjBvGPpaWalPQGjGq8tdKUXaPSXz+0sMqU0hjbcYLRAS6Lm4aH+ylX5XOr0eGRWRlzFlcaXH2B9KWfue0J96rpbpyaWWFQ47H+UkhNtUvbjYTt24SudHJG6EOtTpu1FUlG3fRdN/L0K8XXvus1v8vM4vnQesvMEEZF4naH/gEZv5utlVzrzHrvr3v9103k/bhdq/65l9daodzruTI6ogkK+eKTSVw/kbSzxduk2298LcH1r5U/NlvbvZDvFlRzPTejOk9ynMzXvYSz+qYJk/y7NGDDpMbWS3Wsxk2hUsySIGX3SBY3rbFhQPu/TkpBzzGi/rt9wxCh6g52mgnHVyT+Gxvo40VX7gTg03cc49d/810ADGpfulYc7FrgOjD3MAClasslTW54ySsBOHz4EE8tS788d3I78zNSwXtpqc7OnRdz4tB9nHOzKWlcB1JGRiShFHcaTG0UyZDjx56EQCsvO73lwJv+Bfmc0Bj3HFOvamc2fhisk7Qxxng01dD5Uk6N7V5Mz9tL/r0bbIrO10wQngG2kMv0q2irrwS4pF73mKd+F+bXgykyqXO2leVV0rZcc9QvcVcrSditC1YPzC0zqdI0tWaHKa0IvKEs2zatcfO/6bk1Zlalr9h/bJaLdwhl9O4D81z8DBmntm+Q+cfD+yuMTwwD8Jwrn8VffkjGufHxEm2VDyjruUgTLr5Q4r9DD57qev/7qtLO1Xqv6mLPzr/1llV71rOe9axnPetZz3rWs571rGc961nPevbvwr4zEV1Ws31nqdYkKIWo6ztjonxbG+AEMT2hylzP3adq+NX+vO9JPP3JbNscmWWC0GV3bFcmyXr7+JnvLDueeonwLJMUeEmFJK9mZYHAzwAgEJ1IMx5pE034sG37EGFJVvK/PCfZwa1RyF5Fv0wWC6zUZDV+tL/MUFnu30BV9olNQlEzu3NLDY6ckmP0919DSzMtz7rmSg4rCmpEqXGPPvkYA4rSaHY6vOqm/wBArbnMl78i1L56TYSBo0IBoiG9jjaknohykGXXzr3V6i3uuvcQ11y5k3f87FsA+K7X/gTHjh0G4Iorr2FUryejXq2upfzyr/wXAD7/hS8zOiD3642vf7k77he+IMikQ0eOccNLbwDgN3/rt6gqgmqg2se+PSJiPz8/R70umaWiUu+WlpokKorLmmVN0WRRGFJfkcxwUcXqi+USa4riKpRKTIxLtrjTaVGu9utnyYiGYciQCsE/70Uv48Cj9wGwvLzM/3qXZAKnNkrW+IN/8zf8mtJtNk5sINLrLNvjVAeE3rhstY1hwVXCmyrk/jRcKlBSX54Ykmv/4z/6HX71V6XyT//wuLtncbLC5U97If9Se/PrvgeA+++/lUZdqzW5rFmRhoIOAmM5cUIyk3QC1lbXiDvnr5Jnl1at8dExpnsb/T0TfJc+Yx0lCDwU13p0mFrczPu3AFzBiihDdpkcsZUmXr/W5owhwKQ5yiMsOkrtxZc8hYVFQRHEmklMU+soxqmFVEX1B4cG3P2t18VXd+2+khMzQn00SUJLi1ts2FqiqFnGb6wKYmTcNrl0UrLcu6iysCLZxuFigUF9P0aVonjhVVfTUNTN3MIC83WloPVX6Wi1qrf9x+/jXX/yXrk+RTuRpkwOS1bx1OmTvPENbwbg7rv+kU2Knuxotnvvti3s2CEC9YOjY9z4XTcB8JGPfIrou/N3/tybxaYJa6tzORXe5mNOEAbESmXJ0Dg2jAgVAZAmsYea8H0rHzcctTHFQ9OkOZrQ2hxxbDP6f06xxxjPIw3GegLfQLcQr4cg89qTo7ViQdcAxhS89iJVtvImYg1EigBOWzHza/L7JRcNUOmTvvQhRbyOFkKqSmPdWCqxrNSyvlKRfh3X+rRiVDuw9Cl6eXqt44qSnJhfYaEt1z82UmGlJp9biviplKv83u/9NwD2Xnwt3/s6Qcd+6R8/yuio0G2uvFQo2lPjY5ye1QsJjEMjpUmKJTov4xyQI1h8cXCvcrVDFJh8+zy+sTih9+RMao7QyORzEOaVFE1YcP2fHF+/x4tvug6UUZCMqzztkBJeZTxx9+y+tR1iM29umlc+S60TEg8KRdJORhVVX4sigr4MSdPmtBbF2TJVJlCU6j8clwIve4aqXLFR+qaNpRKr2t+MVEoubhpUBGo7hIoW4FlotqnrgHRweok5pQdNTfZz7NhK172IihGbpgSBODu/4gSfB4aHOHREEBBF/e7QkQO0E9n2d37pf/D5W6Qy9KnTx/npH/9hAH727V/gfFgSp2BClubntP0hhN2xt3xMzviK3J3k2TnamLe/80cvnk5jr3qsh/rzEaie/+bntJzxYtk0l8jwY3LLmX5J6qHNiuTdn8XNJ7LzBiHRsKIFOwmL+qwvvnSAgSF5VgfbSnMuFOjT2HwijFhUWYFyFDCqvjes1TrbaewqWC81W6zVpQ86OLPEvLIoNk8NcuG+K7tavmlwsuvfF45fAkAxggu27wNg66QgARdmThHHEj8+/NC9DnkzNDxOvdEkTc8DdREjRW1sytGjIoQ+UIX+QZkP2DRw7mFclcy8j7FpOx9nbOpVcc1F3o3JqucOeNTspAvdlRdEgPxDztixXbTN7HO2T5z3N2fVncCjRuYoaUPaXavBxY0Ztds4NnDaWGFmRp7/RZeO069FTr66IP3H9mqJy7VfmCoWWNWKiWN9JUa0b9qglaZnmh1qOp9ptBJqWtznVFpjQWOKajHg6muEgv+Sl34XAK1Chzu/LlWEDx18kisukd8ffOg2EvWNTA4FDK1m9n7572VEOy7Ts579W1kP0dWznvWsZz3rWc961rOe9axnPetZz3rWs38X9p2J6CIVIV3jIx1Uj8GUztAPsdYTYw4M2II7kiclIWZSd6xuNEaALybvNCbccfEypTkPHEyXIPPZjtVlZ4i8+lkE6zLbvk4AfYLQoVNnbEyyQCvNOqYk28algC2q+fDaPsnu3D+3TEczDHEEFw6riHOUa20sx3km9fHpJTluWmV8g2gftZKYm14uuiTvec/v01SkR6Mpx3raVc9kbuUEAJ//6w8zUJL9Xvza59GnopPz84JUmhofISxoGeZJQ+eUj3g7H5olYidOnuIXf/m/8dM/8w4OHjwq3x09xIi279Z//AKHnpTSzdt3ig7Cdc+9jopqLBw/up/VoWEAduy+hEsuFsH217/+TQAkfJ2P33wzIAiL5SVBxaRph5nZDAE37DJls7OSHU3i2HNKyfZDlpSX72MVq4+9as/FYpHFJbmnQ4ODLGi2daBfBeoba2zctAWAmeNPMKjoLoBN2+T6jp8WzY+TiycZHtMMWjlk45Rw90+fPspGRU1MqhDt/vllrGZyajZllwp5F4OAmmayx3dfDsBr3vgmKpuvPuNZROHgv7hDqrNGWxE3O7dfzv5DDwCwouKX5WJKO5LMVHG4H05LRp6wQJoU12XnzqUZyUT7meYu910veGpzVE3gaeyReNk9b3cfIeP/7i7Hh5Nl2cR1mktZZjEt5duoHopo42TCzmAVofPQA990Gc9M8N/akDRDxtmYoKTaca0mG6eknzlyWt7/u+79JuPj4hNrLUNDBXabNmRKfemlioS4d24FBeiw2G5z8Zj4bhQEzvfXVH9keGiYu/aLePz9p5aoKjJny+AgX39EyqgvLn+CqQ1yjIVFQfMUTYl2QRCGQ6MRDz38sN6yYT7/FRHoLSiSZOXifdx0g6AHr7/++fzSz7zePYILLr2J82U2TWk11ygUSiR63WlSJFKtmIAGSSb6rY+0WCzQzBCCpuDul7WxE+QmzTVucu02b+jxx5ausSrXuXTIGi/rvV6YPj8WZ/tH/q07VkrgF4dxpeTTHKmjCFU6HQZVb3KtYND6KbTDgI2KzhnTv/cvrNHISs2HCdu1AEqcWCI97pKOdVFoOLwg6NjHTy1RKeWl6ic37QBgVwkeOyzImqVl8f+L913M9//A9wJw8thRLt/zbADuvv8ul5GfmRUB+sNPPM6GcRknCHOfNusE1s+tGUVBJISK9EziHHlggpA007/x0O0ZCkFQ6r64+LpnmeYIKpHPUnRD0vHOEfFP5lY9QXtjoKtIAd0orq64oEs/NYsD0/y+BmDCvHCP0Yduq6IfY5IWo0PS5y3Or4L6FQN9bBuWd+0tYxcAcOepRVrZtRWN65v6i5G7I3NN8YkoCji8KOiwuw/OMqSaOfMrdeYUjVMthWyYFJ9eW5P9rnrK1ZT75GgTEzV+/hdFX+kXf/E3WNDjLS7J3/n5aWx4GIDX/uBPceuX/xGA4eExnvW0bmTPuTUDQUnusQONeuMMBhIvdgZFUHkdg/OnkBwitW58zD77aGhf88uuR2bbdSjS7ibLJo6O4cVYvl4XZ8bhJsj1nExKPrbm7bSlih42YFh1LpdNjZLqkSaFgI1V+Tw+IH71yHKdjhZvogS79PvAQKBtqGvxjGo5Yroh4+aDpxfpVyR0EBWp9oke5Z4NQ9z2NRGTv+46QeFsGhllMRXUz0gwyKIWpHralS/id94thZIeeuwAADfd8BL6BkUn68Cpm/ncBwW986Vb/pGPfvxvWZo+H1PGFOKaoC4Ved5pF5ibPg5AGBWw2dyJDDWF6yuCsJh9Q9xe8+ZMmU9FBJkeX9omf6aWDC0vUmuZP/p9iXWHOtt8MzObWidC36XnjM37pGw+6qG8hFWk6C0CbIbMV6022g0mxqR/mJ9bJCjLsZJqkU198vxf3S8IvG8urLlCYOW+kGv7JbYPg/x9aGqcV+gkHFbk6hNzK1R1nGsmCXv27tN7ucw990gsNK4aXa+48fVctFcKdw1UCpiStO2//9osizWZP82oPvHmiQ1uTkcR6GTjPLQa8/SsZ/9W9h260BUodcIf0LJOLfWE4rMOL8w7Fxvkgrl+TOnB423X9zkkNj+Ht7OjHcSyiKb7OKpJFyTarzh0tplAgKNTdg20Z1sUS3MaY0sC8x2by7zhqbJAc2ytzScek4WUmzb2M6Q0xKJCnLcP9rFpQAbmTrPDisJYkzClo3SMdlOCsfk05IprXwzA2PAQDzx0PwD3PfIAX7rjPgAqBXjZjTLpm1Cqxo/9p5/nw5/7MAAHD59gcFjO8cIbXshnPiOLP7FWCSmWIrbukeD/3vu/SljKxGXb56XQS2bj4+O85Qd+mP5yzGc+LW0qlUrUNKCYmJigrvSEgQEJjGdOzxDrZHNkZNJVGQlMkf/8Mz8N4OiBX/nS55ibF/pWuVyi3dbFxTinqc7MzhEptWJ8XPY7PT3d9bitD+PXHVNXBSunF9WUwggQd1oUdKBJlNLXrK9y8SVyn48ePsxTrpRB6957Z5naKM/t1IwsdG2Z7ON118h3K2nMJx4UMeXX7ZigrywDY6T0sIs3b2DLoFxDu97i2GmhpAbVoqP33HunVB973stfR147519nVfqprYl/1joL9CklNFW/abfabNwlg3Pj0cfYc4Ussh05eJqLL7qC/Q/9w7fZgm9hJntfvWApe5fTuDtglw3ybW3QvZ9bnNJNPXp09w8e5dmvbJdNAoJC7ktp3D2HyOhqWfWg1EqFNQCTuGqdUWWYG65/KQATY8MAvO+vPkBBBZg7SeASDIUwZGFBFliNUmZ3bJvgzc8Umurx1SYf2y8UhZdvGWN0UCYQqw1duByqsEvFw8M0ZXZOArKobGi01I9bcvwPfuTjHFfq4g3XP48TJw4DcHJ+nlpD/GO1VnLVIzNmzdLyEuG0vNdXXPxUdu+Wiexf/u2fUSxmFb7Uv9bm+YGf/TkATp8aprD1KQC87iU38fnPScXVPVvP/WK8tZY4iYmiCklTC0ykFmxG020zNiZBbqGgYtmtZk4E7LScxrZUKczof9lCl1f5zOR9jCxIeJPBdZNQbvNYBgABAABJREFU7X3cZ+uPZU7o3B/fzjZ5he7xjK4x3XiyBNZ4VR6VPrh7c5UfeFbmT3U+dUr62JeNVBnWCUBNEy9b+spurIsbHVZ0ErpqYxpaYbGti/Gn2ikna0KhHewrO4HwZppw8vEnAfiB73kTzeQuANbGpD3v+fM/4lNfkETAT771l6gj/d8rX/lyPnzzBwG44fnPB+DWb9zO6fklAMJSRKqLMDaGIP0nFoK+XbOSoMuSJiYwLoZIk7a3IJE/w4wKHhTzvsnGHW9hPO+vMhFn21WAI38vpOrjunN4Zvy+smvB/szCB8ajloWFArFWI8RLMJqstKuxXpVHj0LTlme0fUs/P/wsXZhfGuRD+4Vi/eqtI4xr4YKaUq13DPexaVDjpkabZY2bTNk4X+po3HRqpcXhZXlvN2/od7d3tdlmTheqNgwP0t8nsURWWXV2eoaidH9cdeW1vP+vJS655pkXc2JWFiQ6idzr6Zl5alaSCV/78lcpJdKPnz70Tf76w18+4x6fW8ue0dniaXJhevI+hrP1FWmSj2vOXQLO9ty7F6e8ONqvrpivvHm/rzt39td4bfcW/fP9sr9+wir1juVdv1J6d23p523PlYWnY6sNPnJExrr/sGEDg/1Ka9WhfbIcsWUgK47RQIvisdzp0NAiPvWmHHdhNeCo9k2bxwcpVzQ5PTLB5q1Ci15dnuWRR4W+um3HxYAsdD1+SPzmaRc8lRFdeb/5c39LTcfORlvmCh+++QO87a3vAeCqK57Nd3+PJHV+69d+jT2793L68Dc5LxYGpASu8neSNkn0+k1UIY19uQVkjpX1N10HMl7cJL8HYTGXtDCWbI5lgtBliIz3/6xPtIk/T8OLlbyzZnMwky9oyXf5IryjWHp9XvYpCPOxzeL5mPYluzZW+OHniJTI0ZVhPnivJFheNFhkTKVAmhpfb22V2JL1Tc02nWzBvRKxprHQ/KouvJ9Y4Zh+Hu4veWuCEeOTu+W4a9NML8q4es89twNw+aWX0tCxst0wbFfh+upAmd17RXbkscfvBqBRW6Ko4AYpAqIyC1GJLPtzvtI6PeuZbz3qYs961rOe9axnPetZz3rWs571rGc961nP/l3YdyiiK6MXZhSc1CGyujM+2TJ1Dme2XZkd1mVpNGPu1v9icsH6degxRXJZ77wu65wmWONlz12iKM8IZJQgYzzqkp8pcsLAfkY0dlkya3BC0ZkYZiPosP/0EgD/8PACP3GtQJAn+oq0FNF234z8/pSpEWYWJTt0dKFGU4XttwVVqkVZbQ8Cya6UU8szn36tnGl1kWsuE3TM3Y8+xnxNzn3y6OPUlDLX0Czn9a94Ps1EsqZveu33cd2znyu/19u84Lmy+n/9854HwP989+/wnKsvBeATN9/mMrPGgD2P67HlUom9e3ayfdsmPvsJyWRNbLqEqtJbVhZnMJpF+vqtIuo6tWkLiwuSRd2+aZJUS2P/xx94Pc977tMAeOKAoKI+/rGPsbaqKKvACCURyYRnyJHN2zdy8JBsPzMzDcDWLZs5fVoygZ12VlIZzg5vC+hWtBTrtGICzTKtrUi2uFypcuc3hN5QKBb58EffL9umKQ0tMYyieNKBiCfnlgA4EUzw9j2CkNoxPkyqqIgvPS4ZpqdMDTGHZJOOzq1xtCXH2kjKcJ+WhjbiT3/wq7/An//dS89yHf+8feKrXwHglc95PgcPCsJibuGUYwdnyK5KFNJYUgTG9/8It37mFgBMcISHH7qLuFH7V53/nzRjiAoFEWLvKq+ujQu+hR+77srShXoJ1iFhDGd9zrrxWY7n/duheAJQ6kIQhg7JFej7v3XHVsbHBFX4+IHH6SjNO+7U+cSnPgVAScXO3/D6V/ORj35Um25Jtc+rNRrQWSeIP1Tgce2bPvvQAj/1TMH0begv0dZrekgpY1dODnN6Xvqmx08t087aZgOqKqpqFGqzsxoyowiKsXLE3mcIZex9H/uwQ4+UohCr/WZBkWKF0jCbtkqm9Jav3sLJE/I+b9q8mUTFWP/DKwSh+uDd3+Cjv/FJAF7xwz9HM5W2JZFhZvoU58tK5RK7L9xNqVzl/nsEQeSPb0EYuWIT7ab4c21tNR87TI5oMEHBZVRzVKBPbUzysupdUFLoKpYiZ3bjl/jseuQNnu/lPi157m+dwzUm7AJYoChXgjAXptY2xkMRB04Kqu/j907zX567A4DNQyViLV5y35xko5+6cYRZHesOza4yq9TOTeWSN9bJuUpVw7QWtpgaKBMpFaQZBGxQf9m1YxcT44LYqA7I/f/bT32GxUXx3z9575/zipuE0l/s63D5ZVKifWVOhZYHy1y4SzLdn/vCQ+5mmSQ+r+hleWcMWUxj0zinjfoIq4xK5bUl9bdNE4wrVpB3MplIvQmCrmI93SLN69HpebyVprEH6AlywXrr+1fWBg8dawxRsdp1HWnSchcQhAFktLMwFEQauO865YjHTgii5eN3neAXXrALgE2DZdrajz84J+PnlVMjTM9nvrRGR9F4/UlIn/qSGZC/ZQsn1uS93DhQdvFhnKZc81Sh7oftBpHSrStl6Uu2bdvFAUXg3HP3N5mbkzE2LjS5+sqnA3DHXbfK/pGlD5FDoGNd3ZLKyG7e8fPv4LyaiYHA0c0Iirjnm6YeWjR7jj5V2kMmG9MdXuc/6N8Un52Rn8OSSYdkY1r3fp6/BZ4UgPOrtHsc7eqa1vVTQUiX6Hz2jgQGEyllUcXjk6GQJ2fFX/72m8f5788XhMyW4Yqjxd19QvqmZ24dZ25ZYqXDs6vMNCTW21ItU1b4cUERX6OFiGkdmy7ZMsnuS0UIvLJhDy98iUhlLC1P09a+sqixEAiSK7Pp5hIADz92D4E6zJ4LpDDSqaNHOPbkV+X3R++hsSJ92s//wn9meGSERqPOuTdLmjSBmILSP4vFCi293ykBgXLTjc5JrM2F5CHE6PwmCMAa2dZRCdO2N7Z5KD7SXILGQ/+ZLh89S4dsczp2/l0+slnf933zxldXPCZoCuIeMGEpRzLrdaZDBQ6pL334jhO84/nbAdg6XCHReOugovKeMjXE9KJ8PjS9Qqyvxu6wykBJi11pP/nMcoWZh2XOsWm0SqhIuhtf/WaWU4mR4to23vZ8idMfe+JeAE5Oz7B1y04ALrvgCj7xeYn/Lr/8Kkb6R/XqpL37H/kmfVUtVBHkaG1rU0K95nXl1HrWs/NiPURXz3rWs571rGc961nPetaznvWsZz3rWc/+Xdh3KKIr1AX4jIsdeav0FoyWQff1QlyK0bpMobWewKrb39PJIaRLX8RlnWyuP+AkAnIxVsm656vXLhN6Fo6/xXpZVU8PJQNu+Bop5CKwQVAAzVxPTMnq+IsuKPH3j8gKemHIUNc2toHFVclSf9deQVIcWKjRyfTF0pRUBVpjLA0VAW7otS2sNDm1X3j/b/rR3+CRez4LwGe/8Hku2CMorNVmndVVySyOjYpuzOWXXs7v/cYfZhdNC8kOvfgFL6Gu+kq3fFV0m9qtDvfffycAr7h+Hx/9yAPe/T1/6/7VSoGnXraJBQ/gMzdzEqNl58MwpFqWLEhHNQMOHTxIQdEGq8urxPr9n/zJqsuMveAFzwLgmqdezRe/JCikwf4hd4xiIaRel+zLE08cyi6UPtXrsGnCpk2CyDty+LDX4vVCGOu/8382tNry3Kt9gjwoFCNWViSbmBpLVc+3OjsPmpGe2iYZnedurvJIIhnGbaOGdibcWTA8qbpJL79M2vjA8UXqmmELQkgzNzaGsCr7NVTrbNOOXSw9Kaiy4Quey+rsgwA8frrBVZc97ezXAjxx4jSvfM7z3b+HxsWXL7vo6Tz6iPjnpnHJeF24bxPbtwgC7et3fZY3fd9bAfjQB8vsf+gR1lq+1tU5MmuJ2x26+wq87J7X37j+yP1Pf/PgWK5PyrrpGCf2zfr2Z8dN859SL3Pt6yzpw5ECCOKDiaIbjhw+xqGDh/QAOWp249Q4J08L6iFU32+2WuzdexEA997/zRx1QwjlIQA2XyAaDq/aN8Bf3SZipYWBlBUVKh4EFpclS/zSPaK59ORCnY7+ntiUWLOcHWuJ9Rx1PdXSWoNt/eLDn7zlViYqkplcbSYMKCqzhaVfkWVDqin38JGT3PTKVwLwnnf9Ka94wysAGBgo8Z9/SsSfC4oW+P5X/QJ3PSKabtdebbj1Lnl/7r7jdp71vr/kfJlNodFI2b1nO0eeFIRHrd6g2ZCMaZx2OHlchPiDIHumHVIdaIKwgAnOUoSgS9cmQxZDjnTw0Mme+WK8voaWa2+XYLSPAvM0n7JjkaM4cr2SQq73ZWwOZAxCMtGiLZtlp+/aEnDzk4Ig7p8KWVE00ThF5pfEn165T3SXHpurOb9J0oSOti0BWhpD1BUSurDaYvug9JXLcYeLN0r/dv+xk7Trgqx57wfex/igonBK4mPjw1NcfNUVAHz/69/KQ0/cD0hxgB1bpe3XXi9i9b/0+29lfmkJgBde28cXvyrjYhgFVMtVVlvnKf9oU6yHEZdnoJ1FoEgEyEHlUeAQeGmc0NWprUfNg4ea8KSPbOptmuvV+K1w+lm+NpwP/nIKOoHbVrpHdxKHlHGoeVPIr6er3w0IyvJ8N26UfV6+M+JD9wmiszpRoq2I1bYxLGjfdNM+iWkOzOVxU5wk2KI8q47BFUfJ+qbTi3V2DolY/VzHcNE2GY9e8JobeHi/vM+PP/kQp04cA6Co79f9DzzAb/yP/wHAnXffx2c+Kzqn7XqLRx+VwjgFI9fQateoVqWv/R+/cyO/8NMfAODii/byEz/2gwD813f8EOferIjNGwNZkQvA9SGBh/TKzPjFFmLyBxzmQuBu2/V6bdk74WtXett8SzTWmX1d13nPFk8ZL97M3oUgnyqZ0DiNOqKIrBLGti1y/NftLvOBB0VIvTISstDSvslaFpclHnvDFYLofHRmhZrN4nBLks0LAujoWJ8hd2ZmF9mh6PjLnvdaRpURcOUL3+hwR8NDk3zjDtFmG1Nk9vDuEdf2rz9yJ1+940sAlMpFprQA0d5tEsfv2Xw5oQq3f+bm3+X514rvLC03abaaxJ11z/RcmAkJCkNgW7Q1Pu6kBVwgY5NcQ9SxYwL3rsuYoQVykkY+njikVJGcsZN4fVeiDB6UIpMhuvJiZWeNsU3oIfazeVzuv6LVHJ6xWza2Sb+kP6QpGPEJY0tQlHdZQ39eubPCh+4VX+qfikg0Rm8BC4oEfOluQRefWG2y1pbnk6QWE6lwfQAt1SjLuCGHZ5fZpuPcVde+kGuvEHTgM294s2vv8Zmj1JYl5vsP3/VGvTf5u94m5qOfEf3JN77+h3j5s27Et4998c/50pelMMKr3hBw8/tO6jVDckYRiZ717PzZd+hClw5a31KwXcUGyQdEvyNyVEETu87trNrw1tAV0HmTUydumE0UAuMmoRKArR9UcZ2qBIR5QJ8XfjmLYLBuk59KaQdhSKrHftllEkxt6avy5mfKpG9trcG47h43OiypiO/0mnSqI4WIo8sq8mwMTy4KxXBqU4XNgxKYn1iRjrRUiChpp/kDb34ua7NCr7OlAa65UmiM99/dYGZe7klYHgbgNa99A76VkI7VJH18/KPvBaDYJ9dz8UV72H9AJtgr88tEWs0onl0lbWWDyfmzX3zHb9CnQcQNL38dn/3UhwDYtHkTy8sysY00mB4aG9ZqUmAJuXjfDgBOTi/yx3/2PgDue0AC0i9+6YsuSFpZWXCTgTguOhF7339rNXkmrVab2Bebd2a8f7shfd0262kl0FRx/VK5Sj0T7i2mJDW9jmIAKmj98sskMJqqVLmkLMdaWmlQ1eYsL9Ro6ULErO4/XCxQy6grxjAbi79tHuhn64g8945e7vzccf7mb+T+vvWXnsvAsAzUD33hE8wvyST+8gt3MjkpE4MH9+8H4LK9l+Hb298ogfz3vfEH+fM/+wMA/vjP3wnAo4/fx4X6XOqrMb/2pV8DYOXUHLbWguQ8DbRBkFdZBQmws8mkD2fvWkewZ37nL3o56kfg9VcJ2Kz79o/rTerc/t3HKla1slNgaCkVIpsUJonX9jRx3djJ48dAKRo1peN85jOfpqQVEwuVAKOU13ajA1oU4LVXSV9y8dQI73iFnPfgkRk2a5DeqccsdVQoVX1pslrimIo4V6KQ/fpOTFbyvumk0mzjuECiizwDNmJQ6SPFsEVF4fqj1SqdbAJcHQTguc/bB7Fc3BOHj/L6Vwv1Y+eOi5k+JhU6X3fTm9ytOD4jtKLB/hGSslzbkePHPcHlc2/tTpsTx48RRtDW6pZbtm3hiUeFRuBTE4NI6Rodjxbh+7hJuiZrkAXkeZLFdPUn3nZuMqnFVORb/dV6k02DE6nvShyRb+sneJyQry7SxW3Csr+9ti1MXaW8l10kz/fCsSF+XGmos/PLbC+ryHM9ZkF9+vSqhPWjpYhjSzLuFYKAo0r12FAts0WrDZ/USUOrVMDoQkepVGQwlHvYV4rYMioTx4mBQcKSnPuSpz0HgGc/7yWMaAGSkCJfuUXoP2lqGRoUn+urasGRySmOH5MFyr17dvHEcfHvxvIKM4fnSNZP+s+VGYMhzccFP44x0L0ogPYvWfIuXbcYoRRil6TLqwRbvyCGt40JonWVy8gXroAuurcJsWcLykze5/lxUze9UbvcbGE39PYrFqXSJfDap0h/tL2/jx99rvZH7ZhJbWOn3mEx86UV+TtUKHBc+6ZiGHKvFpqZrFbZPqJxk/rSaF+Jpgr/j5QqVHTs//IXP82sxlBFLCMVWSyt6wR7Q6XEnXfcI20wARftFaHxRx96kB2bJJFz6LgslK3VVhnWWOngk4/xtGtlwvqBv3gv7/7j93I+LQgNaeqLxntxiDV0VWmF7gUCv6Kd1w85s+S/+4tbXZQwI8VV8Ldl3eLX2cb5b5UsTM/83nV9bYxWBQ77IpcISNO8Ut4r98lzvHTzBn5eK+VNzy2zd1D8LG3GLKqsx4yqzo+VyxxZWM6ukkOrEptt6KuwXeOm6WzbgSpVLSqV1Fe48sXfDcDs9BOcmpUkc9GmNLUg0XxRxusv3HEb1z9dEq/TMyfZs12SU9dd8y7uufcOAPYfkqrDYyP9HDshlLbBx8ZdX2hjS721ylkped+u2RRsC6zJF8DTloubTFjJx4gkkzTJxeiz5S4AExUIXB+RjYOtPIYy+QKYK4crB8xF6DOfWu9rXfTHfBFOvjFef2W7dstp4dn8DzeemSgk4xunhSJW/fW7L5cx4+KJMX5+g1azbsZMat+dNBNWdU43uyL+MVwsMqexfV8p4m71q8m+MrvH5XhHlcK/fWKQCaV47picpOw1+ZavSqXNhRNHefUb3sq3siIRf/Dbkuib0sV23y659Dr6B4cBuOvOW/i7fpF+aTcakH6HLj307DvSetTFnvWsZz3rWc961rOe9axnPetZz3rWs579u7DztqxqjHkv8DJgxlp76Vl+/x7g55EF+VXgrdba+/9lRw8UBJNnmi3ZynrokFVd1EV3YnIhVUyO7vKTh2dL+Hhf2jTpgt5LE/LMkQ3CXPg3iPLMg2MotfMDp1lmXY7l4P9RhhQLCPvkevo2WMoD8sheWBmkUJAs9YAiSDZWIrYojPzBWotQj9GOoap0o6StVIQICpqVaBgY75fsz/GVBiWFx9Z12/5CwFc/9xkABgNDSbPn060aJzX7UyhEtFXk94lHpATxM674X/j2zSceAeCZl13J2usUTp8Kgue++77G174hgsuNtQbPeIpgd+/8WpuxcaENHH/iCOfL/uRd/4WDRyUD8vo3vtllgGfmVrjmqVcCsGFM2jE3fZTjpyUju7i0RjuW5/djb30L9z8gFLpPf/qTAFx55TUcPSpItfmFBYfq67Tb5BnE9U4HcdzOv5PqBfqLh17MfCX1yyBbl22KoggTSZZ5arMIKZ889QThkGy77cJRtk4JCmHzQpNIs0x9iurZWC1QVpTX6eaaQ+90CBgsyferSkENgIJmpBt0HLJmvtnmmGa4F5XTMTXUx9bRYQA+/ts/yOh2KYM9WR1hYU6g0pPXvYj5OaF0rEdyZZa9NQPAFVc/E4AfL/0kAO/5s99jYV6ynM97zg3U4q8B8HBtlNXGvLf3OTRjMIHBGk8820Pd4FO7fLqih0w1GQrBGGy8LrNowu6+LMh+D8iFco2HKLPe7/K5UKq4bHSzXifLdZTKSvNrNPP2mMD1TaXKACLCCq2OtKc0WFU/hWioyKYLJQN9/dBGDJI5LDTlPoStmK1V8cWFSokMONZODWUVlu+0td+OLKm+UzWbMqrIrJNrLUqlotsPYMNABQU7saFSpqn3/YJxw3FFr46OjhGosO/ui4Re9jM/81t8/EsipLpzyxaWloUGF1rD1+65DehGdAVG0R879vG210oG9Xd/568JlFKXNjgPJlnkI4ePUC7I9R47cpgokmdVKhXpH5BMbaVP/q4uL7K0KO9Q4iELoyjKkUIO8UXub4T5GOrR+wWElaFXMwRWPsZ2obRsdx+W/W675AEy6ppHvdVxKuorUx7RvqvcZGBMntnLR0eJtCDIqI5jU+WIRMOXlaVaTr1PDX2KLHROFgZEuu1iJ2FEx6/TtTbVslxbR+OAzSN9FJS6s3Gsj7pSdfZNDLF/QWQBJgb7GVZk4XBFjrV1bJe7nM/d+SXaHUFp3XrLF4lD7fMTGTMOPnmQQkGe4UUXXUlaEnTXn/3h57rpn+fchFKTiTibIMgBWwJ10H/kzybNkDR+kR5jXJGTzCcCUyDNqGrGQ56SIbyANMbovc180BDkI5eH4jGu4BCerxnXF3YhwfBOF+QojUD156MhKA7KBq/b0kcpEl8aUP+YqkRsVCHl+4+cxlYUdZ0G9GsslPmSDYyLm5rGskn94PhyjWpJfKylzS1HUQaSpt9CWWPEDUVo6HvbXFlkeEjQEBuHhIrfP7mTk7NC89l74YW86C3fD8CBxx6hquf7s794NwBrtYAVpequrs2z9xKRTvjA336cibEJzp8ZUquSIdn77SOzDDly0HrP0Rtb8ONzmx83398bNzOUTmDysdWmhKVB9xkg6dScwLi1HfJcvj92ZsddT1300IYZfVHf3bAySFXpZBdsaHLxuIwHmwpDlFRCZFz7gg2lgJGCMisWaySKIGzGMKLbOFansUR6bctx6vqmE8sN+hVB1tZ78oxLL2J8SqiGfaWI43eI1MeWa1/B8dMS33zzvjt5yfUvAmBs0+Xuyj7494KgHx3r5+8//yltQ8LYpPjIRRfLFK25tsyhJyVevfiiS/gvvyG+9+u/+KcEcUp6XngV4jcmiEh1XDceY8faRCiH4PVNnt9ZS5qNdaak8yscgtlEZQ+tbF3/Z9OOG5uk8Jbt2s8m7bw/STvdY5bzYy3clHTyNuIjTI1DfZswQ50FhP3ShtFtJUZGZCx4UbEPfeRMaPy8Y6hMoy3neGBpBvoyoX3D9oGi+wwih9KnsdJsocWUSjqcWmtT0rliSaVKBmyHC7fuAyCcPobVIj8PfvXjGOQYN37Xy/naLeIrz3rey/RqAh4+/jgAYyOjTPWN8a1s39Re9k3tBaBer/ODb5c2vOe3PyfFIXrWs38jO5/4wfcB7wb+z7f4/RDwXGvtojHmBuBPgaf/i45suqHxmADjAp8UbOi+B7STy2k8XVBS12/nGg55Z+pTkIzr3AT+n8H0c+h0vvhlPaxc/kL7i2o+RTGvuugtn2mwHhQSwn7l/l+6iem6BNCfP3GK10wKOXHrmAz2d59YYJdCmzeXi7Ri5f5bS5jKNdWUPzZSLNBqyIAwXi2R6MRyodaiooHJ7lGZuN5+aJZxnWAWooC4KcftdGK++vlPAzAwNsF8Q7Z529t+lbPZVbsvdp+vv1qqOB48JoP1wsRW3vTatwPwp+/9fTaPCBz/pjdcSGdaAsDjT9x61uN+O/bEwaO88nU/xjOfeiWnZoSy9OpXv4anP10WTt7zR7/P/gNCnbtjQfTE9u3Zy0V75VoeffwwL7r+egBe8OKX8ZGPyAJXNtgeO3aERYUQd5u3YOX7J95kw8H1ocsX3SKpT33MYdZbtkowdPzYIejIpHe1oROz8Q00rWqlbdrCeJ/47wOhZWpNjrFlVO79N0/Oc4FWhNpcLtDo5O9YQWcR2cBK2mZ6QWb7/cWIgjanEcYUdZKwS6kdj04v0/eIUDPGxwdYPv4EAPeeXqLUJ+f+pbv+gSOzMjC+/BUC0X/ty1515m0EvnjH13j4MXlGFaUU/eav/hm33SZaFR/9xIeY0oW1N771Rv7ydz5Np3MeJpTWYpN1mn8m17kqlyuMjo527RJ3mmzeLHodhw4dZmlJq9Sk1pu9ZW1Ncwg+qecSgdfnGfLOJ8631WMUCgUu2H0BACdPnHTH6+hq0d6LLuaBe2WhOowCEp3oNxOv0pAuKiwu1gkK8vvbXnwF0x3x8y9PH+dlGySA3jWpfdOxGTZpnzZgDE2nwRVQ1AXSmi6gbSgX6aiuyWi5QLbet9Ro06+T8ZEhXdA/uczGqizSh2FIqMcY7B/ktVrldcuOXcx3xC9e/5ps8Srk1S98tX4ucP3TtmY3k8EhWdD+7FflXb7hOa/gmVe/AIBjJ5/guU+TNjzyvU/wqXd/lfNlNk3oNIVS3lKaRbtZJxtTJqa2uypYx45K8BmZkH6tBLiysubi7STOpyi+lpKj23ed2KeQBTiamvvS193yKWpnWezyqu7hae3ImKeTSE2yFIcrUJRz/8DVeyCUBcXbj0/zHKUF7twg/cPtx2bZ3ScThC2VMvW2LqgGASX1pzVdcZgYiGgrZWggimggvrPUaDl/GhqU7x44ucTlm8a1tZaitjdJ4YLxYQAa9SXWApkkbNt7pqbgzKmTXLBNFhxe9/vfzaf+QTQtrVbr7C9u5InDQj27cOcF3H2r/L732gke/srcGcc7NyYTPGOMq1gK+YKjTRIvXtI9bJI/3yDwFpxyKQjjx0peNbOuBXkn75AvNjiaj0cPMl2aS9Yb/3yqZa7R5Rb0jXGTPaMJmCBIiUbk9/947VaOa9XhDx04wX+8SOKJ7RPSN91xdI7d/TKObSwXqbWzCm4hRZ3ILjakE9o4VKLVyCnWqVZEXmp0GND7Ojosfnn30QX2TMm5lleWmZyQZFOnvsYlIzIOzK/0caKmC9fVEQBOz5ymqOPqyOgkH/7ozQA886lPY21FfKikmoNLMy323iSxSi2Z463f/8MA7N36DP7gjz/F+bIwChkcHqTeqNNqZYsBXnLOrwTtKIoBeYLH5gurNs2dztflysa/1Fsgi32dSuOobIG3SGv9BGJG1+6Koby4y6enBZ7/qs+GWtU2KEY0l8QvXvyMPVTLEt/tn1/goqI8t52TwwB8/fAMFw3KM90xWM3jpiAgVLmBhbq0e9NwkVY965tCRjTOXmy0qOr7OKpVF+988jiv2yW0w0r/AP2qD3f3F9/P/KLErtc961ncf0TmCOFJiVcff+JR7npIxilri4wNS//2W7/ym+7SP/TFvwFgeNs1bNss9Ndm2uElzxHf+vKNX2X/V0+z2D5bLPvtmsWmCdZYSkV5h4KgRFNpw4YUMt2srCswgRcLWfeYsSlJFoOl3pzQi5uyMcqYkCCrxmpCv+OTr6KyO2GK9QbAMxPTQRA5KRmsH7t5KWitVB6UYjKpqzdfvAUiae/NT5zgzQOymnrxNnlGtx08xQ7VHR0vFlzfdMHUEKeUTr3U0DldXwqq0TVcKNDQ61hpttncLz40MCALXV9fXuWSfbK42W6usTAn407feI0H7/wcALPHD9CuSGx68rOfB+Cb993Nlq3bAPihN32fqi6jojRn2ic0hrr50x/F6nh84TMGeVx1Ts/HsmnPerbezttCl7X2q8aYHf/E71/3/nk7sOV8taVnPetZz3rWs571rGc961nPetaznvWsZ//+7f9XFOF+EPjst/rRGPPDgKSqTEgGdc2W2K21eWbRh7/7q+rZKr01jpZhu0ScfaqGL0KY5r93Qan1o9suyCka1npQ2dSDtPp0R5ea8DLoIalmBU0jg9+GXDYpWexrt45w95EM/h7xSEPW08srku24ePOgE1JsL3RIvMzW7g2a5VeERsFLynfaMZWCnLdajEj0vmVa18OViIJm1DqdDsuK/qgUQmY1Uz57aprJTULf6CT+/RO7+Us3c9stgrB556/llMZdWyUj/uSxJvNrIuD+spe9hsUlge4fnKvzD//w8TOO9+2Y709hVOSB+++iFHW4XpFZoYHHHhXa2wuuv4l775RsWKTVdWYXFjlxStr3gue/gI9+7GMAvP3tb+WBB0XUM6NYXXLRXo6VhHJ5evq0q9B4JkLLQ+oAIyPDNJUK2mg0POSEJUcJepWIyH3s+DGleNq2y34uKSVwYuskl0wJVeJZu4Y5MSeZ7qdEdZIxub6jKra7b2rA+W5nqc2qZiYrhYhJpXcsqTD5ZLVIMVSkz2qTURXYbZnUVbAsleX3jcMVkkT8e2G1Rb9CrC/cMcIjp+W+H5tfZc8+EeH9VkiuzGZnF3jB854PwMxpqVBTLEb87i//vtydYsLEpFzbqVqVjql3v/vfhnX1Tb4YrxNuTsmeabO+ysn6araj/g2YmZVsWrXax8ZNO3T3hGZTEHLLSqszJiBS6lan1cyzhrZDl+C9y5QH69oC9dUVHrz/AXe+zMeectXVALRbbUYnJJu4uLDEgCIrp6amODkjPj+gFTxPL87x9Csku/f8C0e477hStGzMoZYWPJiVNuyZHCTRYgX1hRY1fQ8qEWxV4d6m+lfSTpxntzspZb2eShjSVpRqWJS/o32FTFuadpz3TZ2kw4rev5PLDX7ge/+jHrFMbn51pdyeuk/ojWR/gfuUkrxhapSqoj8OPv440Zi85/Hxsx7q/9q6x7qIIIxIU0tH701oIFK6ZLvVoaGVW8cnJPOaJi3m9V3vLsAS5kguB7rwqWBBTvkh9cYvn2JwJuKhK0N+9ivytvWv04L2kVavzZqUp+2UvunZO0d48qT4/ZtHDcuh+OmhBXl/Lt824vxpZabJgo6Xw9UiOzcMA1DX7HaYWqyiSgsGquow7ULkUM/9rm+q0lQI4fyaZU0z6JGFU2tyrw/NL7P0qKBstu+WrHhYqjIzexiASy7ax6ljjwGwZ/M+tm2U923HVhkfj0+e4IILdwNw9MTjpErjaNfrmLLNCqF+29bdN4WYrDq1o5JGjqJlwugMapcJo67CGtZRE9NuJBfrkHzWi4980XE/7umq2ugdI+ur/II9ripjTqW2NumufK0oU9QngoGAp24XX7pux5CLmx7sj3h4VXyosiD+d9nWERKlYJ8+WaOuaNPRviLbJ+QYWd8UWlzhjnbb0pf1x0XrfKmgvlSOQlraB5X6+nj8hFR2HJmc5OiCvKPTtRZDY4L02r59r7slYUHa22gsE9eEwv/sZ/8kuzYKGvetb/5PAPzaO/8re/ZcCEBUsuzd+gz3GH7ybS8H4Kfezjmx9XFT/+AoJizRasi1CBc6QxazTlpBf7de3JtBdbuqbfrPPzsx+VgXeEh4E+Ui5WmOMHSV9ILIIXZMEJK0deztiuP96sWKMC0MYVxRjAyNZbjuMkEpP+eCEY5PS9+0t88wo1XznpxbAuDqHaO01Z+OHVmlrecbrhbYuVHQXy31p7SduL4pBMrq09Uooql9T1GLnwyVSxw5cRqA/tkTnFiU2OuZL7qRlZb42QoDXHGFIPrXlP1x5PgTPK6shJff8F3cfrtUXaxRd3Oh171ICkc9eOwo23cKW2HfxDAf/cr7ARgb38x3f8/1fPiv/ifnwtaPc1GhShQGZGDTem2VoCCxh/iCIjYdVbCVz+OsTys0nnB9VmMw9xkT5AhjmStlNO4SXTRXOVmO7iJvQxeiq4uWn8/53NwUMMXu9yDqNzxrn/jBc3eO8ejJJQCesXUTczpmP3JS4uDLt4zSjuU6Th1eoeliOcuujcMArCrCtIBhUQsX2AgGdE6XpBGLNUUNamGEuN3gox+XCq1bpqY4OSMx6MjxY1x9/WsA2H9yntqyzA+MFv957nUv4P9j77/DJUuL+w78c2Ln231znDs57GwGNpCXnINQwJINIljBlmxjG0mWZf1kWcFBwShLIANCRmSQSNIKdoFdll02553ZyTM3x87hxN8fVef0HUDyz9KM/KBf1/PsM3e7T5/wvnXqrbfqW9/yQ9Grla0VvqhdF//lW/8d30mOHRO/yQ9j6k25hum4fCvweyADuZzy/zzQZRjGi5BA1/P+pmPiOH4vUtqIYbqDV2Qgfy/ZqU+ZbHGgTwP5O8tFtsmwB7o0kL+X7NQn08oO9Gkgf2cZ+E0DuZSyU5/cTGGgTwP5O8tgnRvIQAbyDyX/TwNdhmFcA/wx8Ko4jjf/L34p3B87Iuwp14TRb3O9sxY/Jd2N+3xIEoPfiZQBCHekpuMdWYNvyVenaIqEwHAHT863SZJBUq4Kw0pRF3HY5x+ICbEU3XLlAfl3ftTgpnHJbDx0cjnNeK62uylZfEXJfIs5E1uvFbgQaHYol7U5p5nFnCJxMhYUlc9iy4yZcZVzybJpKim0o7XjQWiQLWgmJTB4alsQP6c36uTywnMxN7cX2xRkxl//lSCwRkeHeeENUu//3ve9h9qm8Aj8xh/8Mv/+X/wnAO5/TNobr1w4TuTL/QxlKvg5ufbC0uOMK7/SyvrfMLx/D/E9j8XzC5w/e5ovf/nLAExNzhF6Lb3+EuWKZHU3NiUjUSoWsZTc+ulTpzGVYPc//MzPMj0tnBxJhvvRxx+jo8i7aEd23LT6mW4Do88roMq3vbXJ5IRwBcVRSEl5d5qtZoriAL//m0S/TbuPFrIK2KMy39ful3Mdms5y06Tw3Zxa3KatPAhz0TZrluiZAheoFUySvg1RxsBSvi47Z1FTYk1HuZLqfkhW9dC3IK/vy1Auy3pDskmuMvP6kcWY8qMUytOcUD2utgN++Md+DoD/9t9/kfUNMQk//6u/DMAv/cf/lI7fwydOcd1ByW7/4Gtfn37+pP67a9dsikXxWnDXXfJNcf5q4Qq4bK6VIiYu4hrZaXtUdqA/k0xfuxHQblTlc3Mnx4mibogJE3IHs8/9ddG5YxtT+VssRdj5XpcJJZ11bJNlRSOOT4wQKHdforf3PfAALUVjxZZJQ9EPjWYNR3m35vYJp9KLJ+a4elgyk/c+tZDqUituo0BP8sjvi1kj5VH07IhY+UXMgs2C6vNoWWyQm3EYU96XC90e0xlBYRVsi5pyd9lKzh5GBrm8HBt6Ice78q49tbrNrU+KHXrh81/C29/6rTxTF8upc5Lx3r/7MF+57ysAvOiGF6Xfnz9/FoB9e/bwpdukTXbXc9g3Kyidp5Vn7lKKrFQGhglRIGMUGi6VIX13cia+r+T8aq8q5Qq9noxzvbbNTkRyn5srvugK8nXcR/fEkKLd4pAE1RDvsFd9Tkv5pH/Wi6HOQvGlY2/1EXSxGWOV5P+v3SN25/CUxU2TYmsfP7NCoOjjMj1ON+TvyFIOtlz//ejaMW5FxsEq2JxtyVgM5eW6HdMko7ZpxesxqYTPOcui2lXUl34fxgbjZdHvtc0WD69KZv3UZh1Pn7DrRSmy8ktfEiD6G1/3fRyZE134nQ/8GstL5wF5TW+6+Rb5XUvGsRf4fOgjfwTAufPn2H9IeHfue3Qd/M5ltE2R0mcliC1/B+oz7iPPE7qj2NqBmPFJUREYFzXQASAOMeKEBHwnkrCPaDUI+37UTv7BxHbt4AEzjJ3oHz1v1Nc7w8n0EYuGiVWRY67eLevk0bkM15QF+fjoqVUsRWlttT1cU+Z8WPVjpGCnumTmrRRBahVdFlvKO6nHdg2DshI3V42Y8WziN/XYbGtjDuUinBguMVmSe7iw3sJRji5r+gr273kWAJ0nn6StyJunjwvy7+3v+DeYmjP54Ad+h2XVwT/50G/zfd//NgAylviHP//uX+QX/tvPAvDil76CfziJicMu1e1VTCVeJ+iknFmYdl+3UoXage67iGOJHciYHSjklNrP2GGydlrwb+GsREnF1TeLiXege9p945/6SsYOovAw5a4zCzam+jdX7q3Iv/NZXjgjf59Y2iLwtaFB3MVSlNEx9Q9H8nba2MMdslN0bLac5UJT1taS+tNZxyKj63TXi5jOy1jmbS9FqdqKzFlvdRm9IBUDDJWxZgR5dcovcq4pxxwe383ps4LobzQFjfPWN76Fp048BMDSyiqeJ3P0vg/+KlMzglp+88u/X05bLDIzLM9516MP8X0vegsAf/HXp/jqbd+g0UhYmS6dxHFMEPTI5crklG+z0/NxHFkfep06hiU+QJRwG5ukPLhx7BOrLxzH0behAg2MPgF93CejJwZT584wvgO6e4cdNkw7vR5xSByJg2PYRf3XxNLGFTFxXy9dG0tMANfOyxp1/XyR60Zkno9f2CZQZGMjDIgCtc3KhTZWdNJ3qjySI6P3nhvKstLRPZ3ao8CKmFJuuMVuj3ndS44XQnr6MB31n5Y3WswqZ+6FhWWauo+798nz9OaEP7IwNMlPvO2tADx1VtCodqbEwWk59pNf+hyve32/Yc93kl1zol9fu+N29h+8DoD7H74Nwr/JExvIQC69GN+5U9IlOrlwdH3+b+i6OA/cDrz1W/i6/vZzmm5suBPqaO3owJFapWDH0f1nM1Jn/FtKxlJnSoMGsbHjmB0lGjsCZBeTDe58YXdaxp1BOBVd0AzX6cOr45hYu6cZlsmBI5MAvG2vGKHj2zVaWo64p1Qk0EXvG+eXmMqIYU26TB0cG6Lgyt+bdZ9JDUJ4dj9QF/py3aVak2pXDPfUUD4dNT+OOFAZ0vuRa3lhyPqmLNDrrR6e3vt2L2CtLbDt9c0Ot7zoDQBcc801AJy98AQrS2cAaPsOTz8hf7faPi99jZA7/5f/KEGM/VPj/NUdUiJ46sxxjp0VQuxbH3qcs1+TCJdfPf5AHMfP4hKKaTqxkxnmisOH2D0vNHGO7XLjDWKg/+fv/AGrWlrm2LoRd11sXYR3zc6Rzeo8FEssLy8DcObMaQCmJsZZXJZFIgwCdpZx9Bts9fUwcZCIY669RroNrq2vMVyRgEKj2WS7JotgSx3kOGdCuKPESDu2GFmLZ1wvz/SWOZnTY5v1VJ8OlssUckl3yTXO1OXzUlZ+v3u4QFGJMNe2e0wNa9dF00j3Jt2u/Ga92SLUZ3MNKyXNHBnJsm9INrJJsDky0goTanGGqT3isHXNEmN7hMT52Ikz3Pfg/QCMjQlB55Fr9vLNeyQYeeTwjXz/970LgGv2jXyH4qi+/Nof/mc+/ucflTGjyFO3ngWqxHFwSVdb03JjNz9OHMcp+bUEzneW63xrgNz6ltLmnVD4i4Of7Nz87bQ7O7tWGfQ7BaXmqB8IzWUzTCpB8tGjR5ifl9LDhSUJft1599cpFnXOV7aIdFNo5EyefbOUW33vmDhTx7ZqdNTxmsnk8bV86OlanUg3fVl99oOjQ1S0Y1C7G1LQQFfkQlsDM2NKLr7eaFNXh8w1THwdK5+Y/ZWSPpqWOxkGbW2Osdnx0Bg9622Pcwq7j80h7vvaY/xN8pP/6d9y5cErAfjlX/1VFo+f/huPBXj0zCMAvP1nfo4XHZZy59/45Xddettk5+JMaT++102DoUbcY3hM5u/nfvan+OM/fi8AK+tiExzTY31dSxfjiDhOyvRJN33p2rWzu2LS1Qy09GxHKf+O4+WzfqA4/tamGt+inmbBTq9h2DFpGzrL5Ppr5DneOiX69uRGlUYg836oMkRWkzK17S3Od2Ric6rHuytFSurgb9Z85sdkgxTYEEYatNLyoKVqk20lfM5admqnfAP2ahe75P1wHJOW6lOtF6S6t94JWNYg6tmlBs+8XkiaX/Fy6UZ18wtu5Od/4d8CUK22OP6YzMHmdpPOmqwJ9z35sFzDzfK1O74KwG13fJ7zF2RjsV0vs3jcI2ydIA7bl9Q2GaYTG7Y2wkia6miHZkA347oGRTttUFLmExLH2mHXdtONYX8N63f+jcKdXYBJyxyl8U7y6c6SyKR8aOfnOyx6Epiw+hc07Zg4CZxaBtdcL7r0lmn57NhmX5cOVobo6SluP7XEnNq3Id2YHhgpUdKOidsNn9kR0aXI7idCk46wy7UmW9ppeGY4T6APFJhwcFjWWEt9g4iIzZ7YtK2WR6snvtLbf+LnGNu9G4DjZ9cZrchmeaMu37slmz/6vf8KwL33PUgxtweAWm2du+8UH+mJx8UG7ZqbZ/+cJHxWGlsYGrDN5Cr8+Dt/HYCPvf+nLrltctxcPDy2l0a91nc94gDHkbFrt9s7glA7k8k71sKd36dl1eoYRP3mCJjWxetb8qdpYSYd8pIgbBzvCID209hR5PU7daoOOeUiSRDfMD0sJezGMti7W+zCvz8kCcInN6s01Wk5OjKM4co5FjbWWddu0kmAdPdwidmyBBnWqh67db00XJNkz9LRAPviVj3Vp5xr99c6Aw6NlvvPjxCij4/I/iDMFFlclTLGyb1XUMvKu/3sF34Pli36fXSP6Nhyd5Xff+//AOArX7qN+rrqd+Tw3vf/AQBXHJbmGsPOxcn6k9r9876HzvFDb/gB6K0SR94ltk2Z2MpMa/BT16HI32Fc4h1NBRK/KQtxQu+S0Q6bWq6YNrwQMQ0DMwnMm9l0HQyDXhqwN1JKHLhIyVKJdnR67X+fqKiRhZSCxjIwMmrzMgbXXykJwndO6zq3WaOmgdKjoxVMTSA/sbZNoy5rTFGDtYfGy0yoXm7UPXaNiA9lukZ6H62uPOniVp1qS847O1Yk1HGwXIsj2rAsCQK3goAHz0giuelF5Iuia9P7rmX2qNBY5Mq7uP666+R+hsRGlSz48F/9bwD+4s8/z+kTUsJ7ywtfyq//f37q20btkTOytj3w6P389u//NACnT7o0FvQd9c5dcts0kIF8q1w2RJdhGB8BbgHGDMNYAH4BTRPHcfyHwP8HGAV+Xw1PMFD4gQxkIAMZyEAGMpCBDGQgAxnIQAYykIH8XeVydl38wf/D9/8c+Od/l3P3YfM7EVbJRzvQXWngPbqoRHFne9mkXKOPmoh3YLCsPsnqTtJ4c0fEP96Juuhf11D0FraBVdCsqBIwW9kAt9BOb910JcPyL67ezWhF/l5aF7TOnuEypbxkAnI5l68dl5KIa0aLzGiU3dIsURhGLFeVdNC00luLvBjHlmP2KbT/2L1bjGhGM4xjfL3dsXyOphI6Dzly3f25DLaWl9W9kKZmx/eNVoiRiH6xNMrYqKAtDuwTctRDh67gAx/8JQAmJw5hBoJK+trdX6daXQWg1lrS8RtnWKG0Z796jCfPCfx6+VSjP5aXQSzbZnh4lNNnL7C1Lc/ykluex/GTguqI4pjZGUFFWYpwO3fmHPsPC3HsxtYmOS1fePFLXsInPyHIoViJMHfNTrKtZOLtVjPl9rUsk3AHMX38rZlsI+KRx4TI8YqrrmRCW95n200ay4JUMeuasXFCXn6DZO/Ktsl5BRPdVMwzrmO6rpmegyPDlIdEx/L5DLc9cUrOi8Ez5qWkMWdLBqnj+axuy8kKhoml6JCNaoueQo+feYVkPC880mBSETutKCanpWVj2WxKxpoYmxk3Q1WVc6vZ4e5v3gnA9Vc9izv+UpB89588w5u+520A+L4c+8M/8E6eeuIBAO6492Fq25KNvP6GZ/PON72Yb5Unz0q54o3PfA6f+tJnAHjqK0vCLB182+F/b4njmF5PUXtWkoE0Ur1xHCd9D5taXlUqFqjXa3osXNSUIEXSfHuZGEZMWiptxP3sZxTuKIvs2ytLURWdtsfShjx8+4k6D56U0uEkM/lP3vo9dBakNG+7XeFETeb/h/bsYlhh8RfWpBxxKlugqMTs2azNPaeEkX3aNZmflyxmojNhHLOpJayF2EyRPV4voqDIjCltmPHYwgbDOTlvYKQYR0azWRq9JPsttmk+59LQoW6HEU0lXT0wVmFYifTrCZLlb5BOx+Dhh6W0Y2p27996LMCt3/g6AI/ef5yHbn3y/3D0313iOMb3ejK/Oj+5XJliSZ7r05/5NLt37wJgY0t0aGpyltUVsa2W7RBo2YMQ8PaJbPUCfQQpEekbGhsX57Rjk4vFTHXTwABdJ7BDXE0ch15SrhYwOqfXsB1GiqKHrxkdZXRYfresBLoHR4aplEXH8jmHLz9+FoDRjMX105Jx9nWhCsOIZbVN2cgg0JIPL4xxlWx+7y75zVNLm5S01LBnsEOfMrTVBmcVoTHl2ERqx7ZCn+W6lIccymUYDuXemp2AZ98siK6Tp2WdMB2XTq8KwN33nsfX1u9uNp+O2g1HrwPgL27/y7RcLWc7GJbY3aUzq9LSfkcTnUspF9M3AFHQrwiLjf73pB/2S36k5hEgRdGIJAjkHaAbAxLkShxHGAnqJtYDYYe/FmNaCe1EhKHzhBn30T307ZmllJqGE6eomp+6eRcT2tDiwoq8B/tHK1TUXuWyDl9+QvyJZ06VOTCidqEd6KVMlrcVTRWZeIoE9APIq490UHXpicVNyoqkD2L6flMux5ai28taknvV+DANW+Y2rEyworpUO/sETx8TRNb5NoxqI4nlFUHoHDh4hN37pJz145/+OtlYGhs87wUvpFyU9fyWm/tl1W0dp8cef5C77pP18z//65/mo//r3QB87P3fjrT4+0oUhrSbdXyvTaj+opUppuVmbsbBS6dvh4+c6lgISQmZEfVfyh0ow1RXQj9FHxqWvQNZaqRlsomOGeaOMkd8UPoN0zHJTGiJV0cRP2GP/fNykzeN2YybMn+Tk4cYKsqxqzVF3kyMpv5psZDhiw9IqXvOMnnublnrNnStLNg2i5sy13YQ01bUuxGaFBXpc2R3BYDHL2xQ0iqMDjv1KUu9I/eTzYq/treYI4rlGj1nhIldgrCerVS47gpp3HP4wEF+4Td+TYdNnvNVr3kDDz5yt3wWzPMff1aQp//8R99CN5D3JTLlvJ+/6z7qNUH6fOPrt3H8vKBRq0sOR6+6gdNPfoVLL1I2bZhxipoydjYJMOyUmsZSvyHwvD44MOqmx5uWS6SNjvoFEzFGgnLHT1HOpm3tWNt22tydjYr6+8bE3mDFJJSHcVJqSMCea8UGXTldZqktevWGSo6ZCVkUzyrp/MGxYYYrqkvFDH/1gKCeht2YG/ZL9cKWrh8Z0+LChqwVTgRBqLanC1ldd4/qnu6xc2tUtAIjiOO0qVjFstlU25SUgd88N0peUbm3Hl9gfVvmPH/hKcYnKwCUhkeYGpZz3/vkCQBuOnoQLxT/746vP4xXE93+9Mdv5VvliQtnGBqSPZ9pRtSqMtaN5SYXNwUayEAur/xtFT8DGchABjKQgQxkIAMZyEAGMpCBDGQgAxnId438P++6+HeSGL6N2DIl5t6BbrioJr+P0jIUIRFHQR8ddhGdQJJBNDHSen+bOFKywdDrZxyMfoYyVq4sC4PMaMJnAaYkiPF7mo3uxozlBWVQKpvEiswYHc5jK1JmViP+fhCxd0qygtuNNpFytcxVKigVCfUNzfw4JlPKr3S23WVEiVC7G22GMnITn79fEGG9MKKb8Ev4QcovUOv6xMpAnpBkfnGpR1nHb++uvezSDOz2ygVKimbyDINeUAWg5Qla7S2vfhNXXS/8EW9689s4c0wQH4EXUGvIczxj/7UkcvK0ZMnGxktMrkkmwaxDRbMCa/8X7Qr+f5U4jvEDH9OCppJ/3vGNhzl8QBBSL3vRSzmhWft7v9mnkmvVhSC22e5Qrcrv3vOeX+fIEeGYGp2Q+b3r/vv6ehj3OU+C0NjBOxDuyBvJsZWRYaqezGtldJiVmhD596IGs7sEJXB+SXTe9zzWlTT38MQQdlkbBOQzmHrmEeWwCYOYA9OiTxvVBl1P7v3K+TESxqq1VcnYFLIO+xVheKrVYX5M5jo0DfKaub3tceEfa/U86tpGObJNMgoR2mx7+MhzjKveXMjmsJpyDct2mUgIe48/RFW5nXy/yTfu+yoAu3eLDv3xn/w+59ckM++Wd/OJz3wIgBOnniZfkve0YEiG6fUvfSWucqd95NN/iKE8MHQiSJF0l1jiWLgldrSXJu43Ggh9n+63oGrqtWofTmVZ7MwsprRJCamqYUjzCoR3IkyIzgyX1BhEzX47d31/nWwOP0FHGBlCV8ZibLpCJxb+uWpL5uMr3/wyJUW5zg1FzCjx+VA5i6s2b0ZJntu9gH1ToufbjTahZuh3j4wSK6qmq++Ga5nsUq6J47U2hyqiw93NDpOj8vdXVJcCg5SINzAgr3qzFXmpbZpVG/9X5+rM5RPOERjJyzWKWZcjVwpX4BceOMav/6Hw1bz7x9/Nt8qdd36ZM2fENlnOd8401vXf++7/Gt2m8GhMDU+xXRcURus7/urvLwYmGFaKrGnWtrnuWrGZtu3w6KNCTry1IfZhbWUhJeyNw3DH+uSn2dydRPIpB7TFjjXQIU54tQw/5f9Lwc22AZo5NokxXCV0dyLyZfldTxuLREHMiCLQXjwccV65ZKbKBUy9xt4x0bEgiDgwLcjV9VqLnnIsTU6NpICPZl2QBxnbZEaRV6ebbaaULLy91aGiRL+fvvcsAF0/pKuo0MCE7A59SrLes5Gc655uwD6lxjEMk6Zm1nuGSVk5CivlAo89LgiJiSlZJwK/yj9/208AcMfdP5fyxwS9Hh/5vBDW/+BrXwXAG178Kv74/b8FQKuzyTOvvw6Axx+qE0c235kj5u8vcRyr76KGZYdbZFj2t/hLesDOphlmgtLyUgTNDpIuDEXuxIaRcuZg9fl1TMPsc5NGCcdeRKy+iREGGIqUsKwIt6wE8FXR/ciLmFbeomwxxnXkd+OjxRQRNK+65Pkh+6dUl6otfLWVB6dHiRKOto6iR6yYCfVjLnS7zCiHV32zTUVty6fvOyv3EkSoiaHd81I0zlbbI1LblFOS6NrcCzg0Lvr+hb++ncKw/L1wpk5T37Xji5tcX7oFgGfeeB0AxcIo3/cK4S793T/6KDccFTtmmza/8t9Eb37xPwjfzbELy6ytiw162bNfyq1fuwuA+x/fYH3zclklME2LXKFCu92jpPyhvu+TGhEzj6H8jnFSNRGHuj4ia16KDAz6O5EEvWzuIKuPQzD1cyu+uKlGkNg6hbFnHFD+RwITu6ToHQscW5Fnyl0bdGOiSGzFyws+GwXRrbHxYgo2q0zKWtfzI/ZrE5+17TpVbe50xZ5JTOVFM9TG9EKfKdWhM60uu9WHWl9vUVKE58fuPgNAy/PpBjttk5xrq+2l5npGx/Tqd/w7ZucEwUsuy+bJswA8cs/XGB8RXf/4Z/8Mx+7oEIr/02ot8ZNvl3XvF37pY3zkzz4MwFWHr+L0CUF0vfg6ua/XPveFqQfi5AIWP/KHAKw2XHJO/qJilksnhiL2dvDW7uAzjeN+g7EwVm5Ax8Ag4Qm82G+K4m5yEv3/qG93DPp7OhxMO1W81H6lfLkmkNO5DcDQfZxpQn5cJqfbEEVxchZFbWBQNiHKyPzPjhUw1TfbNynvSc8P2a9+0+pmjXYga8W1cxPpnUU9OW+rGzA1JOe60PFw1IfaWm9RGpPn//g3zwLQjmNK6vM1PJ+c6uVm109t3W5tdvBrd51gSHXNjk2y+soUzZhjjwq6fdYu8gU1rC954avT8X37a/4FAB9439fZt1sQ8BfOHmN+9Ag75cpde1nXxgdfu/2LFDKJj5rtOxMDGcg/gHx3BrrSUp4k2ER/o3cRBDWBq+7ceEYkxPOG2+8elCyecRTtCEz0yXyJQ2IN4BAD2aGLrmeYRtopx8pHFMbkfDcdLOIovLXdk8+OnevxqqsEojochnzm7AU5VRgyNSyLbQL77oQB2zXZWHV7PV59lRgWyw45vpmQLcuxOcOkrmUgkRlTKYiBHMsZbDW1i2FdnmE4Y1PWYIXtWBTVqWhGMVu6YHd1GEYsk1mF+8d+h9VVKcWrNzo0FV79jOc+m9HJOR0LJajvhRwY3wfAv/jxH+S//eIHAPD9gJIzxk750Gf+nL/84l8AULU8nvimlN/sndvPo1pWdDnEdV1md+3l+PEncTVQaVomi8uycSwWMmlp4uSUzNnqygIddXSatU32HJBAzPnFczzypHbFSbwUy8boe3F94vHY7OtxZBAntXSqh9V6HTMnulmeyhH05BwvL1tktIy0OSZjeMdCk+fvkfIHs9FjPJA5LphZsgVZ2Mq6meiEAevbojedXoc3PUMCc64d8fi6zKut8PCcYbBZk7n0iMlp2d3IdLavTzVxpruNHkXdQI2WXcaU3He15bOk5WSRlqPlvG0K6vDlHZfd194EwF998bP0dEgOHDgCer1GQ4KKe/bs4rorbwbghS96Bf9lQeZgab3GH79PnLc/+8DvkUimKDp71fNfzf/+Cwmi0nPpB8Uvl3xLmdhFXWC/tax6x2eRh6E6iBX3dSghV437XaZi28XQDoxxGPd1yciAliE46fvtEPTkMysXUZyUazz7YJNcV0spfXHC7jpX4/lXiy5NWCa3r2p0uetR0ADq+FAFgGq7w3ZDdC0KfV5ztZRS5DMxJ9Q2abyDIduiqXD+jGswrEGKsazButqsM9sSbBvPuUyp3saG/BagGcYsawONrjqd+4aKVHTn2Wp5NHV8atUmGw9LGY9p5ml1RU/vfEhKNZ9//U2c3ZJ7/J0/+C1+8PvfIWPmZth7vVBFnnno/mSSSKz9//7cp/jQ+8VO7Z+8gsX25QNFGxjYtkmxPMz2lthDw4Tjx6Vccs/uOZa1iUBaomhamEnXsTgi0XXDyvRXxrB/hTQQZlppV0TpbpfoqQPqoBpxci4TQ7sfGm5MfkSu99KDWXLdrh4jnz28GfNiLWPNdzyKbRnzbCVPUQPcwzmZv7YfsF6VeWp32rzmalnr8g48vZWsdXJfBcuk2UpKVGLK2nlzumix3pSxuKC2aSRrM1UopI+c6lMQsaxNI3wNXszn84xqcCP0QyZKuknd7rC6reXGpSKNZhUAZ1u+L5aewQMPSYnZj77j9fzu/5RS6TgwePvb3gnAKxdk3j72qU9w9MrrAei5OT7xsa/KsZ2IKGjvKPW6tGJYhvpM6vNYdroexVHEtxSsCmlzUmoW+WnvH8OxuWg/CtK1sb9N2+FuxakuYLqp79UvfY36PphjkhmWv288WiCr+pjE84+fafKmG6V5RrnX48/PSVmVHXiMa5OKKBab2A0DNlSXup02r1G/qeDAmar4U7HeQ9E2aWlgPSZiONGlQpFVTchd0HMNZ2wK2tU275qU1V6vd31WO3KjUzmlBug2efR+6ca6d3KSqnYRbdQbrPTkfBcWL+CrnT93TvzAf//Tv8jH/vILAGwdP8kPvuNdALiZDGfObrBTjuya5sgu6eb4b/77f2KyIpvNW178cmanJrhcEoQ+21srxHFMo7qln8aEoQYRI7evTwlbvWWDleiTh6HE57FlgZ+UKdI/Nn0PrDTBY7luP+BumsROwkGgwQ0zwlT/xSybFIbl7+8/kiWjiUMyoitfPtfm5fvFh6oVs0SrSuMwOU1Bm1TkXFmHWr6X+k2tVovvvU6oK0byVrpuJbc+mXVpqG0CGNKE2/TuIhvaVOOM2rORnMu02j/ThJKOScOPsMdl/mYr8v1df/l5bn6mlCjOv+xHeOye9wFQKE1x/rzc++c+/wluuOG58vmQPJtpFXFdeZ7f/O2f5b2//TkAXvu6f8KB3RcHJ9rE3H7nbQD89vv/kHu/IInFUnaUrbVHicPLFTxN7EG/eUri65hWRrppApGmnIw412+uQkzSHtywIfb7a6F85mIkgfVox17Q3FHSaO6kf0iobQBdV628yfABea9fva8AWgrY1TLnBxfavGKPzNdoGPG4r53GMRjVsuokxtsJfNZ1/lvtNq+/WvYPlazJWbVNScOvqZxLQ5sVRCaUdU+3q2iy1JRrn95IdMkhq2NWzrlpifVqy6emwdSM+l2TtktB9bLZ6jGltDPNZpvrb3k+AG/84XfRVGqanQXFiXz5zz/M9Jy8Bx/5wPvSJki96kJ6TFeD/l978D7OPqrB6DhD0kckvNyu+EAGwqB0cSADGchABjKQgQxkIAMZyEAGMpCBDGQg/0jkuxPRhan/7SgJ25mMNHYiKFDIU5IdCjAVVmzY1g4uVf3eN0DLB2MjTrMGseFgKSomNuO0rCj2JJtDaGDlJWuSGQl5yV5BRczky8wW5CI1bUN87YiJ35RIt+/YPF9LyU6cXyCjCar5ScnGDO+E80YOnkJBl9YbWC0537iWKxpRRJRVssvhErF+vxaFtBVie1jJTEuug6nZtYxlUNUStmYvolyULNapDXm2XeWh9LqlUpYRzRRsVVuMzEmGFdPEtiQrcPVhKa353Oc/w/Of/zwAyqPjzB+UzON9dz3C3LSgv371d/4XAM94xl58JFt57ozP1oogqo7cfBRDJ+lygF2jKKLbaXHl0auwFOp74dwC7/zhtwIwOV7hT//szwDY3FR0i2HheYqQyTic3zgrH2dNDO1jHsdJm2T6DQ0wMaysfh+DoRkOJ8TQsj8rr+VmnsPQpIzn+bUHeMG0oCJMY4yZcTmm2pJ0yCuzI3SVsDKbyTClpXnNhSUyM9J2fWhI5nQYsLRkIAocvJ6c4/xqA0tRWkkZRxyGtBXNcd14BUe7Sp/vdvDa8kyHFZVRKJfpaJnL+dU25y25n4ybYawgmbCuXnc466CPSzZn89jdXwXA92NG9wrCLHBsrr1KCJ9tLQ8xbJv1bSkZeujhbxBaDZ0Xj1ue+xwAlhbls5Odxxmeled4/NFVrjt4AwD3Ld6L13LhcmYmDSOFv39bFdK3QiF2gGewAGsHmiNBU4Q7UBeKfogxiJMSDsvAMBRJ41gYloy3O6VlZBshrkLenaLPKw7LeziVHWd2RM6tne3ZP2HhKUrLsi2uL8kYrm1tM6xIhYlRef9nhxwabW2qEWax1VCdXd5ObdOEZquNuG+brhwdwlJdqsUxvhKXH1BYfc6yiTSj6ToWVYW3NryQkiIozirCYvdQjihWdNhokbKea9lwuepFrwHglqk9vOGlb+JbZc/IkP77IobGBEm7e+YAo8Nie79+nzSDeN4NV9FFy5rveBBTUSMXzp/j24naL53kcnmOXH09vt9l3z4pkXv43jtp1OXZT5w4TZiQ9yaoGGL6nRYCWeNAml2kqpXYqKhfBuRktWwOYgJMN2lk4GMkpexTMj/edohhyZyMTMFr98taN5IrMDstx9bUNs2UoKNzFWYyXKM6tHBumQO7NfusaJyya6a2PnAL+JotX1yrETRk/BN9iqMIXxteHB0fw1YW54WeR0cz3VeUJZOeNSy8JKPtGmwpurHpxRRUn87V2jp+BsOKEHQcmxG930Yr4GxXbEuj26bra0a+J9e67Su3kVGi/T179zE0IWNVX+mk7/rVzxCkxStfdRNv+v7vAeCXfu0D7B6ZBGAzs4ofXp51Tp7MVLJ7nf8oTP0bwzT761TcN1oJOTSWgZlJEPIm6FqJF6cfJWVAURBgKF+DYTjECarQ7mLaej1FE8QdL0V5WSWf732m+BPz5TLzRZmzWkd+85wpg3Zd5iByTG6aqABw28kFXrpf3o89WmpWiQ0s1dvQLeApymNprUa7Ib7XRF7uMQojPF2uj06Ogi7LS35AU/2mQ4rwKWccXC0Psi2DLV/0su1HacODp1arAOQef4DxYVm3N+vbtPS61a7H3YuC0OyYEeUhmf/hUXmPxpwMb36V2K5HFh9nZUspH7oR990rjTAmxkS33/Wv38nchPzu4x/5HL26lMnm8g4XFvrIikstlmkzVBrGCx26HS3sjkNpniEHpHpm2AnlR4++dsfEShRPb4dtSn5jWP1GGbYFoVI++B1s9TkMu1+RUZyS97S9GYElvyuN9PjeK6TUb//oGPuG5NrbujbtGYkItCIhiA3yOv5PHz/P/t3in07skjUib0S4Wpo27JYIVJ8WVqrUtcnArrLaR8+np3p+1dQIhr4jS0FAvS66frSi57VMeopcyzgWNUX99ULI1GVc1yviw/3of/gNTn7xTwD42u+/i+VVQdIdvvYga56M8fve+6f89M/9LADXXS/P0+t1eenzBKVzunmau+/9MgBv/cE3c8uNc+yUBx67j5MXHgPgzJMbaZOP7fo6diZP0L0M651hCHo9Com0ZlRGT9emsJN+njRtMnfSPJhg5nSdCyPcgpQFBn47PX9SMWHECLIU3f/ZCcE8mCmyVOYj6oSYOXmn82Mh36OUITO5EvvVN69qSeC14xGdpl4vm+WKrJzr8eNnOLpb5mF+RvyuohXjJGWObolA5/zCUpVtRbfvUnoI3/PxFaF45VSZSPeQpwMvtU1HtdqmksmQ1WYHWdtkWf242LDSio7HNuU3XuhRURtdKmYJtFTSC2I29bX74Ed/i6dPC53EI4+LL/SmN/0w7/y+NwOC8nrxa6Sk8TMf/jNMU374H/7LbwJw9XXzvOY1twAQNovEPV1jjTjdg1wmEpGBDOQi+S4NdIUIPD5x7vscJiJJuWFSzmNgZhMj5qbdM6y8nTqhkQa3oq5J7CXwaqN/jShIy4qyEw7X75JSn6IhG6RTy02mpuSzqYpLsy4Q1LuXz7KrJAZyeli5ZLpR2nFv9+QwV7TkHjwHdtviOK03xKEbHslTbcpinMGkpuc9v9lKN4B7NZCw1fJx1fnPDZsEOrvXz4zz8a9KZw9Pr1uPYV9enKW8YWHqOOQyJlmFkU+W5dk6PZ+6QtItN6bekPsZKxQoawlGtd2k01kH4NrDVwIwMT/L8WMCqf7wB/4Xd9/xsM6XwSc+9XEAnveCF8jzrHydxQ0JdNn5WXx1bL5+5z1EOxzvSy2WZVGpDDM6NsqiOoZzM9M8/bSUIH7m049x7oLwml15pQRhHn3qKeKpPveQoRwUfjPALsu9Bi1dmD2n3zzKiEj+x7BN0LnKjGR55j4tZTXFaTqz3mbXjCx2eycLLCyJPqxvb7Ko/EZTZXXUPVJ9mpwoM6mbL9vOsMeU+1xTSPTkeIFNnT8Xg23dOJzdaFBV5+1AQTZ6600vXfwzowahvjc37Zrio19RffKSjVDMiAZcZyaHaSi/juE4FHRRs1w57/ZWjdWUlsrGVkdvJGtzYlt0aGx6DxdWhMdivS560Wpuc/VVErB6+MFjWL4s8NOjFgf2HwXgS18R2P1W8y4uLEqwdPTqlzCcX0+nYGRkjNr2CpdH4gR33/8o7RIV0+cw6TtptkLbDdck6iZQeQgTyLpWQRh2LvXt4jjslxLZVgobL+11eMaMvLe5tgb9rCZ7dgusfn64wNqqONB3PnGaWS3Nmh6WubFDA1/ntJDNcE0mKS8J2adBuKrqUr5opxD7VsvH0WDQwladujpv+4oyDsvbnXT/nB0pofFerp2c4DN3SHmPpbrW8gPmtNNUwTCo6ZjlMjYFDcxMJzD5TshKT55zqBDT1Y6wR66+juuf+3IArth7FX+b/Mof/QZKDcehI1eztVEF4EffJVwUX739E/zll6WUKFvI4mgg8ejhQ3T0ek8+eOxvvcbfRXy/y8qFp8E22dqQjfHk7B4WLsh70e02+kGRhJfL8MFSp96y0/Ur9iMMdfCTzYKRsfufxRFY8iyma6edhfMzZa5VfRp3xG48nWszp2vd3okhlhYlAfDUmTXm1EGfGFL+lMAg0rKjqeEc02qbvKLDYVt0ZLMm8zc6mmdDObEcTKq60Tu3XqOWrHVF0YX1RjcNZGTHDQLdOFy3d4JPqG3qaaAssmBUOVPyhkFNhyyftcjrxtpXfcqGJs2WOOTjoxWsSJ55z3CWJ9bl806rTVtLNI9q2fXs1DT5vGxejz9xjOpKT8edlAesoWv3sXN38xt/IOX4Kxt5Ljwi607Us/X9vhyhrpgo9DB2lM8bltu3J2G/A2PCPxrHIZb6LlbWJVa7YA1FOBU5JmhqMKkJcZj4XV2wNNBlmRj64rvDBjcekE3okAYjji9WmZ0U/ZoZdWgoTcNdS1uc0+D85LDcg+nHBBqwnJke5xoNgG0OGRxwRD/WdT2bGi2woYElOzZSv+nsWt82TWc1KNv20Up7spgoDRDX75rgY6pLvl63FgccUn8rb1jUtMNbNuOmgS5fecZWF6usrYsODxUL+GrboyBMk0LtXsjTJ6ST8Itf8lJ59icf4MajzwRg8fwy2YyM2X0PfgM0qP+nH/mIjH98nBueKz7U2NQQT56VUjP8iHSBuAwSRgH1xjZhQMpR5ThuUukFsdG3M0nOx3YxiuoXGTZosiOOe2nAwUj8dCPA0M5sURCldV+m6xAr/11uLM/1u2TtnNYE4WNmg7lp8QtmRt00uHjXymkWtGvipK51Rjcm1CTSwV3jFKpJeaRFTjshb2zJb3ZPD7GmtB9ObLJZlXk9tdLXp105+f16o4utSeTCjIWla+g1c+N85HZZJ/xAOx/HFmMahMgbFg19CfOOQ0XXunf8jHQuJ6pz4NWyJj3xP36ctSXxYRYufILyC4T/7+DKUX7sR38MgCt3y7r38Tv/Mp23d7z1rZw5Jpyzr3jlLWm5+g/94A8A8LLXH+LOu2WtM7NZIk/8JtO0CdmZtL2EEscQBbJPS90mMw2yx0iiDEi7L0ZhByOTlNoHxEowazomoXZmTpOGRpIAknUuCbabroWppaKZEYdrZ9R/Lcp1n1xos2e3gBD2jbisavL97IUNFpRDeaKidm6HDz43V6KiyZalnstwR2zPdlV0an6qzJbu6YwINrQk9sxag7r64NOKeNhq9XD1HrNTBrEGva6ZHeMjtwkdh6e6tBVGHFRKHb8Rprxc81ND2OpDmToOG7kcC7ruFoqltNwz9j3uvFe6oO8/dCWvfeUrARhS4EVhCL55TNauT37qw9zz1a8AYJsxxaL4BB/8kHDn/ty+H+JXfv12AEZnxrnwhAIF4oTPbyAD+YeRQeniQAYykIEMZCADGchABjKQgQxkIAMZyED+Uch3IaLLABzleE66BIXshERfdCiKhk6auRTclOPZdExs7RgVKrw4MCFMoP3ejjIi2wRFx7iOg+1JlL6lJNArQZfXTUg0fbPTpa3Zza7nEZmSQfIU2hnGITOaXSrlHbbbco5mJ6CS145oOckIe76bdtJo93w6iqyq+wEntPvXqJZiem5MvqxEujHYSo6/tt1mVkvXqopA6AVhCnir+j5hmkkyGNKSqQ3t5NeJjLRrY6PWYnxW4M7Lq2uceEJgztc+56XkcnKNOx65V8am1eb+B6TU7H2/98fs2Sckz0QhocKKv/aVW+V+vxzia0Yk9BfBlEyd73ex9X52YvYulTiOw+TUGOfPXWB1RTJkP/j9b+CqKwWV9uAD97O2JogiP6vzP2OSqSiEOg7w2lrKkIVYmyJYyt4YxgFopjf2AiEEBgrlPM99npR1Pnj2G5ja6CBUAvr2iM1h7VbWbZuUFX13fq3WryzR7E635TM7LMeWinmWFCIct30qJS0xikVXOh2boR361Iu0S4sfcUwzPCM5Rcs4BuUEQh1HmIqg2NhusWtI9GxT56bZ9UmSNFUvSLvujecLoLDoYe1QtuvgUIo8fOzBh5jUzi0LTz7FmHY+2thc57nPkwz3Jz4j5a3tboNjTwrB+JnzjzM8/EIA1pbX+MM/+l0AhhSFeGFpmRe9WLJR8emY2ak9AMzNH2J0pMLjD5/kUksun+PQFdfyyCOPX1yaeFH9Yh/JBWDk3BQ9YxdtQu0u5eZD2nVFURYSQxYRaqaQKEpLG03bxtCywFzBwVurAhBoaUgtDwczMo9h18K1tTFBr4qlRLehImLaDZ9dI6JrV+8f48xp0Zv1jRYT03Ifw6bo11YDclk51snZrGvjgroX8qQiK8paouRlIKclYSFxSkZarXWYVgRhQ9Gs9Y4vBPtAzU8LWMhlTEpaipd0ZewEIaZ+1qq3CPVdO3X6BJkH7gH+z4iun/uxf8/HPimZx2ymwM/8h38FwLvf/ZMA7N77XAztxjg+PsaNNwiq8I4vfvlvPe/fVwzDJJvLMTO3j21Fu5qmpR2qZP1LM9WKKrUrlpLJI+jAHSW0ZjFB8shnoRcRaccnIkE7y0V6GIrOzFXyWG25dkeJcBvlkKu1lKta88gpUrPrV1P0YoJi6PZ8ZodlXSwVcpxriT4FvZjRnujLUEZLAls2Re2I2On5KACGmh9yTPVpRO+h50QUVG+CKMbUdXir2mFGUUh1RV3Vu36KPPUQ/QPIWgZFtaFbHblYwwsIO/LZUL2bdqKNTJuylmCt4zCna+DaqqAjjNjn6qtkzXjuc57Fh/70Th3LKPVIvFjG7NgjRapbQjw+v+sAlr57MQaGaRN+W73zpRJL0A+JbYrCftdp+uTNqe2ybGJFMkVBD6uozVocO+3m6+Z1bXbB21YUb84l9hN0YAYUFZevlMmE6jcF8v1yWOcHdkvDmvVmh6aWArc6XSItm0btWK8bMjWkXVUzJstVLTtr+TRd8VXGFGHR7DipLnV7Ph19jrof8rSiu0bySnDtxti6nkXEacOD9e02k0re3FQUSNcPU3TXlh8T6TjkLIMh1aVNRTObpompCJROKyBbTJoDZdmXVExN7GVTiak/+GFppHLNVdfzwP2ClJicGOeOrwgix/c8rBSBKSf4/T/8MtEf3SHjbtgYSpkQRxGXTY0QO5TJFWk3e0TKKO0TpkTeRB64CdG3orRsE1PRsFHgEbuJPXKwK4qyUb8haId9JLNhEKvNMvMGdkGesTzpMKQI+a4iReslj5u1S/lmq0M1VB3wPWIUGajvmxeHzCoJd8Y2OdkQvfDDGH3VcTtCxr2+bVF0+vrU0+esBzttkzZPyBiUhtV/jWIc9fu3ax2mlRakqeXTtbZHW/2jRjdI6TMyFtj6Hv7WO78PgMLEHJWK+DcveskrOHf6vQDc9PyXM3KNIEvvvPte3vo9PyTPrwT9P/D8V3HvSUEN7t2/i69/RfxcI/RIlORTnxEdW1ppccedUq4Wh32y9sjzpXT5cuiUYWCYltqlfll9vwusRVLkltAyGKZJpD6z4TokflUUB5iKIrcUphm2I8KOXiuOiVRn7LyLpdQc+dEMpbgKgBdq19VCzE0j8vxrrV767jV7VULkPmytcuj1Qma042s247CwrYjNyCBS21HScvf1qkVB/ZS21yPZZjaCvg8+Pis6HGctilqaGMb9Ziyb1Q5zWipb64gutXo+HUUxbzV9oqQMGIOy0n+cUOL6Rmhh6Ua4EMacaYmuNL2QtbrMf648yQc+/KcAHDlytYxv4NHzBZm1d98k3Y7QEvS6PbJ5Rd0Fct5f/LkP0evKZ51GDxI6FyO8qDx+IAO53DJAdA1kIAMZyEAGMpCBDGQgAxnIQAYykIEM5B+FfBciumLlI7mIfX5H5jraAepKeEtIs0qR5+NWtD30cMQhJbGcGZOo+VrLo6UZ8dXqOiMliU6PD40wV1ekS6tDSzkDKprpr8wYnFyTdtfzpXLKO3HlZI4qyhWhddBhzmaxK9mjxWNtnqXRe3ssy6ZG/6umHPvQ2QWms3KNB8+v00oi9l2PKSWWP6eEmvMjJQ4rsmdiKI9SI7K6vImr2aFyTrIStm2Ccqf4kYGtquAaNh1NMeT02cIgZEM5zG6+9joeP3UWgHoUU1QEjWMHPH36KQCKFRnTar3FmN7Pu376R8krCqDbqNPWuvVYM56OncHUOYzNElHQ5wkJw8sX/Y+iiHari2kaBEos+8lPfZaTJyVTf+r06bQN+ba2kS4eyJJRxJ1lGFhWnxD6ht3yvJNKaH2yGtPVZ9nsVdkzLuNfdHJM1IRrp1wephXJfE8qEbzdMjmj5PdzpTK7lDh3+opZOkr07iSE+CWH5Y7U/y8eb/DMGamVN7NZtnLyu1pW5vShpWWmFdFz75lV6kpGv9H1mSvLvZ9RpMX+0RJHK8qBUS7SUB3aXNkiq+/fiN6Xa/ZbgPuGzZSiOHbNzJHQ53V1HmendjF1hXBqHd6zl+y8/P3lB9/N9pKMyb4j1/P4U4IMdFT/o26LU6eElyDoBTzvBS8G4MH7vkldiUAfeeRJAA4eOUio9/sDr3sNv/xffxuAsdFhHn34Ebrt5O24dNLpdHnksScxLTtFTViWQaQ8ILOzc6xvCOeF54lNiA3SxhZREGHYyitExA+8SchLE66OJ6o2Kxvy3qx125RliLl6fpKRdUWF1jq0NXuXkC0XWjZn14VfYle5wjOm5Yf7KxYLoeiQr80orCGHU3W5x96xkGuVm8Emx2JbdCWr78NjtQ7Tioj95sklWmrf1rse0wXJNp7Vlu6ThTwHNAM5WSgS6ntfXd6kpFn8rCK+XMNMkQFdA4woIc82qLXlGmaU0NVaLGg2clexSFP12S+a1NpC1vvIiXu49uDN32nKUulqO/jl5WU++EFp2/4/fvMPAfjlX/3/8Nd//XkAMhmXh755v/7KuKyZyTiO6fkhteoSB49cIffZ6RJ5CV+NS6zrkGEoSbsfYOj8m/lIeCYBp2hz3TUy/vvGZL05U/eptuT7jd4GE5q9HnXzHPRFR3rtLu1Y0WzKc5ULYk6vC8pr11CZ2RGx63uGZqmairLRe7SKNudbYpsubNZ51qzwDZHL0VC0jAKduG91iWFDPvvm6b4+bXY8ppWA+kxX3pvD48MpQfjkUImeru8rSxsUFf1hqd2wMOj68n6EhpnyuWQjqKb6pCiPMGJJybWnhosoyJjVnk9LIas5x8BQtPQVR64BYHpqNxPDMq7nFk6nqDmAUO101JXfbzXWSHyT82eOgY5vjKD4+t1nLr3EcSTXSP4/eUDTSBFdhiJFY1sIv+V7E6uoPGaFgP3TcszcsMzX6e2AVlP+3uy2UIo9ZocMnpERJG/U6VL3ld8zp35KNsvJJeEo212psHtO9KM7mWNTSeoTbiu76LKgvs7S8WVunJPx7jgeW9rdpKe8PI8sr1BSBMb9Z5ZSv2mz66WIvwWdl4NjZQ7qOjc5VKKr47+8uJ6i6R1dR7PDFj1FD/UiA0ttkxFbbCg5dIKIszDITAny7/lXHeGJ44J+r0cBQ6Ny7/lylrf/8I8D0FLd/rOP/C/2PEd+94XPfYLRCVkHVhYuECm/mh8m/pGBkWDdI2PHfNLnqL2cYloQKneVm6eXIkTDlGPLoM+/Fen9GYaLmRM/xiqaXKkQt2v3CrrvseUq2w1tGmGEDOdkTEdyJa6zRUeiToe6ri8T2sikhMWZFUGkzJUr7BoXO+aNuNRdRQvq2p8tFjhVrQJwbr3OoRHxZeNsCUP5dBW4w/2bG+TVlt57ZpWGorA2uj6zaofOduV+r5wc5pA22JgdHmJT16TaSpVywmdmyoktTHz1m7ohrClKcf9UgU19/oTic/ncGeyRZwDwwH13Mb3vkEzByBhXXSeNLpJ/AUZ1/AG6LfElz59+GiOWa+xcupJ3/tSpk4yNib4tn3oKU5HgcaiInMuMxIkvKsNx0k+TTV2sMD/DdjD1/SaOUkS7kY0Z3S3HvOhKeYeWqk2UBotq0CSr685UIc/1anv9RouGIrlGFYVeJuL0qnBjzlcq7J8Vv/q6qTxrys3XbstYFoaKXGjIRc6v17l5l7zfOdulk1WOWuWtfHx9m4y+mvefWaUVJLbJZ3pIKzcU8Xd0ssJ+3UNNl4eo6Zq4trxJQf0mKy+6ND9SZKkqNqRnGQkQlqztpI2ryora9r0up7Rix4sNSsPybCvrawSKeHv6+L3M7xM0fKtTBeCJpy7wF58TYnqvHTAxLdUYjXqHRlP2R7aur3HUS/eVURj3kcKxqVVYAxnIP4x8Fwa6QGCs5g7SVC/1DeM4AkOdV3X44zjC0tI9041Ay4NyboesLS/4PlNLBZsxJTUmz5k/QKjk4LkmeEmJUdalG4rRspRIuxvEdNT5Xdmqs6LHZnMO2hCERpQE3rrsm5ZFdT3sstZU+KcfESmsejdijMu+TU2/r3Z8hrWE0Heg3hVjcXRKN67TeYa17Kzp+dS0lVqrF5JVJ7anm24LA/X9WW10iLVkYLaSZbiYdFUUgzfkmNTViB9fX2NTx330wFWYCv2dmJxlcvKAPFNjCYBrrjjMQw9/E4BDB4+knQpvu2uZcFO7J0UJ5Dgmpx2uOq02GUfGxzBsOu0Ed3zpxbZtRsZHaLe2ueUW6Uyzb36OU+ektGR4bIpORwhebQ3geS2kexUQ+z7FIZnrSi5LWeHrh9E5NcoECsG+Ze8eSsnaXfNYj2U8ClmHrjquto5HLozpqNO+ulVjraak8FmXnDrfLT3WdgJ2T1UAWFxssKrdVnIZm7ouWrsi7bDSgi3tHrbZ8hjWEiXPhi3d7F85IY7k7sk8w3nVp9BjWxfRetcnp/rdUSctYxk0tPOZNTLGlc8Wgtyn772NrEL3NztyD6sry1z4y78A4Kf/++/zp5/4BAAf/ct7YIdzlsjn75EStNfefDO/+vu/AMDCwiJ4j8r9PvcGZmdkwc194bMAPPa1h3jjq7Vz1ePHyOsm/RvHTvDMG27m4fsuQ0cqJVWNDCNd1IMd6/mFC+dSEnpDy2oMDEg2S4aJqQGiw/tgUkv5rlVHaWMtZFZLDacmpsk6Gjjf8qjq9Yp5N4XC27rRyYfQ1o318nqVQDdGQRhR0fe300t+5LFvWrqA1TY6LCrx/Fa9myLPD+gcDXVtmmqbttoeeS1zKNoZtBcD1yhp697xHDlD5mC928WrygGdlp8GtXr6njiGiaf3u1RvY6vDOzdsM6TO4sqaXHcoYzAcy1he8Htc0A5/e0fH+PDHPgjA//7kh/md33y/nG9bkhEjxQIPPPwIANvbdZ7+xpcAuPF738IX7pQyxi/e/tcALJ5dT8uPM84IfvOszl2cOmyXgz48DAO2t9YpFvOsLYk9uurqa9m1ew8ADz14L9vaVMFIOgJHYbr+EfXLXsf3u4xoKdi+rNgEb9tiXsmfJ3fto6QLlVn1aCjBbSXr0tMy0iRZ0goj2rpOrWzWWFVi5mzOIau2qZOsdabH/imx5cvLTZZrMj+5jENTN+27lGDbbRhUtbFArRP0bZNr0VBqgetmxek/OFtkRBMxTc+nphvEdi8gr5u2np7fxsBRe7Vcb2Oo25PJ2JTVIK+ui20bcs208cqTjSanNqsyF4aRlmMHfkQtCThvij6trS/zsG7CavUmr32ldA+89auL+EkNVtrZuQiGjFkUhxiBdgEzQHyby6FNSG5wB+k8ptkPhsSkAdJEp00rg5mUnzkWgXarm9wdcIWWN1+lXcmoRpg5+X7vwRnWNZC/3yrQ6anNi2yGLLEHrt5Fz+vS0PVheW2b1YQcOmunuuRpkKrdaXNoTvy11ZVWqks9P8TSbnB7lSbCbhvUVJfqvYCyK2McZL5dlw7PlRhWXWr5IdvagbPVC8ip3+SpLjVbPlklwb6w1cDRrhrzrkW5rHZadWk4a7OojSNO7d3FMfXXzi6tUB6TBMKBmd3ceYfQO7z45ZK4+Vc/8W4+9Cd/AMAHfu9DnF+VMvvv/Sf/iUcekkROTXfuBpl+UDV2SbNKRFwesgcRx3GZmd3LudNPgivP0mv3+qpruWnSJukoHXU8TPUnjGyUBlHGJpu4Bfl7Tm1QE7hCEyOjo0XGlNIhbBp0/YRM3KZoy+9yGg3qhBFN1d/l1W3W9Nq5nINWU9NUH3i7WePK3dIV89z5Ksu6duRci56+F7vLGqyrBdSV5Hyr5TGiCUnPgZoGYm/UBlVX7OrrUzPwaWqH9XrHJ6u2ydNSvCiMMBN7FQYYSv/RjnxKmmRf3xA/cTTn8sT94k8HN78AS7sxbvo9PvzR35FjpuZ55S1vAOCh87K+TU+M8JnPfBqAt/yzH+eNb6gC8DM/88d4WlrW1WdYXNwmsVOmWyHWwDSmS9Tr9YMVl1j62IQ+gXy/Uwb9Dpxaoh75Pvaw+KlW0cHWJiWmuU1R9y8FfTf3xS1Q/Rkuj4DagrFeSEcDllbGZkh9cD0U34+oqw++srrNmpYY5wsZXN1DJv7ddrXJlbvlfhYWG6xoZ+SOF5L1db3R/IK/3aWn62u956e2qWtF1LQrzo2zopdH54coqF/VCHpsV/u2Ka/rUU/feT/oN2BZb/YY1zLZdugzPqYJb/W79uVcFtqyhi10uzTV969MTPPyqyV5EztD1DSQt+fAfgBGy+PMTUuAdWV5kfFxsU0nT8QkHahDpQmIA4c4KVs2rbQJinwwKF0cyD+cDEoXBzKQgQxkIAMZyEAGMpCBDGQgAxnIQAbyj0K+SxFdIikZfWwQp5msoJ8ISCLIMWlrbDJGmgHrRFn2aIvz67UOaHZ4nI98RaCZ65snGStJVmDvcJFhjbxnIpPTWt6VUWh/uZIj0rbkfhwwptmEuBfR02xTUZEZeduiuqKlQt2YTY2aNzyPkrJgbivE2a93Oa3Z0azjsq0w6BunR7E1Wl7WUrSpXJZYSb6r7R6rG5LRtCwjJXROEFSzpSxPLUmGIoOVku5u90IMJXfW7s94ccRGTrJVo2MHufGZUorQ7LRYXBH01t5dR/nQh/8EgIOHJOJfqzdpKRqrUBpibpegbkbGl1ncIp0bgDCM6DUlSzI3fZiVVSm18gITQ5EglyOX1O32ePrEaQq2weIFQW499sRx9u+WbFkQ9ZjKCcJl3VP8swVBW+ayMGoQKJy72fN5ht7r4ZEJACbn5/iTv5bM2vJalblRyYSPZ1zKihJxMTmuyJisZtCHykWilsyfR8SotmvHC+kpKqioGfi8YbO2KNkZsxuxpbBnL2ozobDmVVWAznabM6HoWy5jp/r03Llx3KQlti3PMFfIp22/t7s+q+sKTbbMtHmBqbHy8YLDq974JgCueuMPkHR8WDn/NN2qoB7GtVylbTrc+ai8Y2/tRbzr3b8IgE8frL5TXnuzlJ09ufQE//FfyrG/9Hu/wute9UYA3v/Rz/HZR6UNfG1B9OYZz7yZM8ekhOGRhz/L+rLcQ7mUY2nxJJ6WPFx6MVVREwh+TIrkMMw0I5qUNhomRErc7OTzmJoFX1hpMTUp4zWal4z58w7k+fQ3TgFwfnGbyYpmvF2bitomJzZZ0PlH9aNUzhFpuUYYR5SSbJplEao9mNAy6LnhHIurootRJ+T4tpDxRkZMTssNV9V+bq62WTPEjo1XCmwpgvSW3RO4apuSJhb7R4psa4lh1QvpaKv2rGNiqd4lZQtFx+TYira+Nm18zfJudn1MJ2n2IM9bNQIeWK8CcKHeZdeclCscuf6ZnFwV1N6/+bF3c+WBZwJwpc7Sr//BT/PAw1JK9Pa3/iSJPPPafaysiq5sb8izG4ZFOSMZ1lxs0ksgc7EBxnfS2EsjhmGRzQ6xvLxMuSx24+zpU0SxjHmv52MogsV09D4MkzgQW2C4DrGiF1pVn+v2yFzPa2OL+aun+OSdghBZ26gxpei7yZzLSKJPARxTkuacIqxKlSKhNkLx4pAxRbeafkyoCM+crl95y2FzSeba6sVsKkG8F7WYUhTHms57r9bhtJegUR1qmm1/3uw4OUX6lFzRp4lsJiXmbXQ81pRk1zKNtNQ8UL0ZzWc4pQisnOkQ6Lu31Q0wklIiRenUjZBHNqXUcnN1Kx33keESXij3s7TSZO9eWR9WF6WEc/+BeY4fPw/A7PQ0TV33SqUemjhPkWRRHIEv7zZRCEpTYCU2/nIwPscxcdBLG1jojUjpmfwP6POhaJWYiFDL6azMUFpivbJtk5mS3+3W8ujswTE+c7fY4PXNOuPqN7VHYTjTp0t4UtF/BS01KpYdwpaSzQcB4zpGRjciUNRgXtfJouuyvazlXJ2IdbVpLT+gpGvWitqSznabc4HaGNelrkiH586OkdE5T3RpMp9LU76bnR5r6jfJUPVLWgGGXIfVmpZ7d2MiS/T53HbAHkt0Jakk2CTmriXRj0fueBRHIUXZ0ghLOg61ex7nZa8UBM5jj8mamHND5pWg36LI775PGq2MTWWwLDn32MQsAMOVYY49IeNuGhaYCVIowEjWncsgtm0zOjbCwlnw1BkwbBdTUWRRSjFCSkJt2hksWbIIOj0cRcj78RDPUfTWATVj+55xhD//utjnjc0GG4pGnSnkGNMyUtOCpxRx7KlvnSs6BNrcqRMHjKvSWr2QQOc4QXdW3AzL59Sn64RsaBmzF4Zp8yZDITud7RZnFN2Uz7psK7rrlvkpsromFXf44ckeo9rzWF4VZ9exLQxde71Axmy6lKOq60mtZzKsDRLGdu2iviooXlttX1DM89I3v1PGtzTGRz8mROFvf/tP8IYbX/Btc3TV/LUA/Off/LcYeo8nTjzF1ddeL2N9dJwnH5J7y2XEHnk9CPXZos4WhpNUwpSIunUuixcexxD7gN1H+sQRsV5LGq4oysyRMTbMLJHaWMOOCXXPkpsuM1UQn/aGRL+yI3z5YfEF1zcCRrXqolQpMqG2zjQMHk+qTJRCoTQ+RKjvaZeIicQ+d3wiNZtZtU1DrsP6Qku/D9noyL3Vel5qmxKqmO52m/OK8s24DlUt879l9w5dUts0mnHTBg21Wo/l1Sqg1DNqyztampOzLAr6u8OTxdSv2vI8rJ6x8xZY9Xs8pOvcQrXHP/2n7wCg0dxOm5ANFSu8+lWvB6CipY0PP/Z1HntSKEUqQyOMqB06fO0hHr9H7FAcJHtxM/UHDAMMc6fuaHkjAxnI5ZcBomsgAxnIQAYykIEMZCADGchABjKQgQxkIP8o5LsU0WUBUZodiQGDhK8rStkbE5CXYZsY2gY2DmNiRbT4LfjiWYlez8QS5X9weZNZJQTMxLBPETg9z2fUkeHa9jxGNEu5oiiF1XqHA5OSQcgFfQLJVgBlzTZ0NWO0ZfpEmtHJZ5y0DjqKoaT15UlmZ/SqPDdohrDbDXAU8dPxA/ZMC8qgvaHZ49hgcbkKwMZGh6a2TMcCV+9hXM/bavscHZNn63RDqkqw2vRCxucF93D8yYdknMZm+PAffA6Aj3zmg+SKwrlSoMCzbroRgDOnTjMyKai4yV2a7V7bYGpC/t6u1piaEpLLre0eaf/mXtKO2sbIynk3trb6VA+Gx+TcDABLp05yqaXbbfP0k4+AYVPW55qcmuDkOUF1xGHMelWysoFmS53xIr4mb+q9mNK4jHNsw5c1O51dlOzQV1afYNeQZMvcCHYrEW690WE0L3Oy5XtM6OdrmqVaWu5weFrmJx/023Y3fYMhzcK3m0rW7IRpXXw+49DW9ua5rE2cld+Nl2TeZ6fzPF/JNlsdcFS3ekHA/lmZq/qaZEkrhsHZJSExXd3oUG0r8si1SGLkedWrQibHVRMy/3/yr3+CPXsFvfes61/EPY8Ix9ba0lkAbj1xjLf85L8DwI871Hy5XsnJ8J0wXcvazvgzn/so7Zd8DwDXXnOYQJEtn7z987zjze8C4JTyLDz1yBP81SPSUntm/jA/8iM/CoCVyfNbv/lrRJeJawIMRWn0/zdV5jjq/0+S9bKLxAkR9mpAVsCDFIdzPGVWADDPS+btvvUN5pTkNm+Y7FXbtLReo1yQ5655HmXNeK+rXbmw2eaKGUHPjDoWZeUt8UIDVxF7nr7/q9UuoSJhAiI62iQhNqBUFF2pqA2ZvTaPrZnrejNgalTmP4hidk0JCs2ris6UDahrppCtDq2OZo2xU5RpMg5GYHOFtmdvdILUNrWDiLOr8l5l9RmeajVZU92fna7QbFcB+Mq9XyavjTLe96fv402veQs75VWvej1PHRcExR1fv5WXP1f43OYPXsd1ak//6lNf0vsyqCmC6f777sNKMpOWQRS7XC4Jw4BadRPbsfB1TgulPM961vMA+Pgn/ixdA0Pl9jCLOcKOItF8k+yUzJmdNfiUooj/WSDP9/ja8bQBRTaG3cNig6q1NsOqT1s9j2kl6l5V27Sw3OborNomP0rTxHUPCmqbOkrStmVHO2yTTVMJ3Q3TkAUWmFQ0x8G5Ei9Re1Rr9nAUpRZGMDMl5L7dbSX/jWMurCjyaqNJrSV6ls1Y9BLi+SR9nbE5oujHdi9kW5FiLT9mYV3m1VGUz/F2i6Zm6ccrxZR72Xd7OIa8Q1dffZR6t67jqnpab6TnKJWG2atE0Z+99XS/wURb+UqwU8/LCB2MlK8nFCTs5TBNhoFhuoJ813caEwzlmoljM0VyG4oEwLJSZG7sRelY9GoGf3lKbPJhQ97zey+sM1+R99+JYvZqgwLf8yknCNC2x9SQ+EhrupasbHU4og2BSnmLWAm/672QkpLmt1SX1rp+6tMVsjbVxG/CQKkLmVJdOrJrCEefp9bqYqvvFkUwNXmxLmVDuLBSlfvZaFFtyueOa9JOKgES25SPmVdEyHwhxwXlrQxig3Pr4hQUFLn14HYVZ1x8l3yujZuT68aZLmMV+bzTDLni6v16jNz7Bz/wmwyXBRH+Q//yjdTqoucPPdZhfF5+d9PVguDZ3tiivUvuYbvaot2We4hjmzi8fNymGCa2k6U8PE5xSJ7r9OlFQkWOmLm474crcbdZyqcIQdOJIZTnMsIcnz0nx8yaojfHTxxjXqssssBcWRsc1VoMqX6uez0mEn3S939tu8eRKUXk5DLE2gCn5oUU1Va228pj1GujvTwoZGwaioTOZR0CbTC0S7nobjg4Rk7ndaPhYSX8v0HMpPrhNeWNdMOIc0tigxc32tSa8mxu1mJbuZCG1Qdzy3muUTL7lxwcZdWXz9sRlJ73KgD27ZUKij+542ssatWIt/EYh48cBODRk9/klh2IrocWpJHS9XOCCiwVC5jKbXX33V/nwBXCwbS5laNUEV6p2QnRwcUL52klQMDiDKiPFfbaYFukpR+XXAwMw+pX6RhxurYR9XkLI62kMTM2lq6JcS/C78m4VJshD2/LsS+qyBwsr26zb6wCgO1H7BuT8a7VmgyrjVhr+8wp6fuycqotb3a5YlreyUoYEwaKvPNM8npvLSV5X/MCAvVTyvkMG9o0I4giyuqDz6tNvPHgaIpQXmv6KWIvCiPGJ1WX1JY4QcyFJUHdnVtrUVU9dzIWtY5cO/HBGzFco03Vsm6GzU6yzoWcXVFO04K8G3eubjCqa9S1U5MMlUSfQ9dlakJ893f+0E/w4LEHATg6J7q2sHweR/nnfvAHf5Rbv/RFeY71bxArN16iIUPDI0SB8kQ368QJYjiOBxxdA/kHle/CQFdEHHcwDAc0OEUcEMVJ9ykj8c36xM/OzvYiEWFPyxWygQTGgLt04xuGMcMZGRbfj/DVKSaMOK9OccZ18XQzmFG7PJbLUNfglWXEWOpsj5kO69rNbyiTlKqRll1YAQyZYrCjksGoQrC3dUEbKxY4p6Sr7RAmIu3WYliYGngp66I5mrd59JR2eDRgPC/nWu34JEOyrESrlXKBdl07cdhm2vGwmHOxO1ryqJ1srn/uK9LhqzW2eeixhwE4cOggI8MSvHry1HGe/7yXAtDT5/1nr/4B/viT75UfxkHaJcQIQ6LEgdQSz5mpWTa0y+DU5CznF4VkOQgD/N7lKjMD182wa/c+traqbGxLt7lqdSXthIMRkNF5C3QDFDQ8zJx61qZDc1PmMjPdU5g1tLIyZ80wy4jOqdfz6OiG1ADOqmOUybj4ugi4nvw7kbXZ1EXNzrmYGhgZs0w2tLNRWee3F8fEppYHhKSkkMVihlEld63qdaeHXE5viYPZw2Rc9cm2M9iO3HtF73e84PDAcRl71zSYKcozn6l1yCRwar3fZ7/4JTAkgYXvff0r+PNPC9n8Vn2bxqYs1Cu1qjxvcZqkv8D+/c+gbH97cOtdv/Iu3vNz75F7dsSR/rkf+6X+AQeekf758z/z6zz+jYcB+OLtQiReP30y7RB07vQT/N7vS/nHH73vj6lUhqiuW1xyMRDn3jJIyxXjGKydwNmEjF4DJH4EVpwe2qvJePYKJqFGU+NR7bR6PmLvmHZ+9QIauiEz45iFDXWyHZtAnVpHbdBUwU2dnqmSi6/v54jt0rSSomb518XAVfi87UGkgce4aDCixNO1llzLzpWo6TUacUi2K+eNI9JOpGXdHEwUHO5/Smu4AhjVd2qzF6Zw/a7quG9ZtFT3S5aBpbbZsWBaHbUl7RK5XutJRx+g6/kpPH51eZ2Klg8bGPz8b/4UAPs0APvQYw/yv94jTloraHF6UYLoD9x9N9fulU5DS4dFbx9+6KEUjm8YJlGyO4od+ovNpRfHsRifGgEri6+ltvVajadPSOfRUilHU4OHppaIGhEYlr5PoYG3rQSxw6BxGJ6w5DeN0EznwfP91DaZwLkkAOS4eFqO5OpaOJGxWa/L/MwUMxh+YpsstsLENmnzkxjipPFCaBBp44DiSJbJIZnLNS1jHS7lWFYS33ZsUTGTMhYTW8v7hnSDOZ63efhpKUexgSktobvQ7Kb6lDTr7UTQ02crO2biFpBxDKZduYcL2jFto+6lRPqObaRdB422zbZ2tq3Xlrj22qvlGurIn19e4OrDojdra00ef+yEjKURQFffoV4S6IpT22SY9kXNA6Sr2OUpOTNMk9iPMGyx+bHfJtlXYkb9MkYjaZRhEetYGM6OsqKwRaC0EI9qe8W63w+2+2FIqOsCQci5NfEnHNch1OCVG8q/Y9ks6x0d72yMmfhNlsumrnND2T6VQmwlwXAoaofOuEhqmzZqcq3xSoUNLbltxAaVJCAcG9jazbGowfLJosPDJ0QH7RgmC2Kb62GUZks9LQFuBjG+BumH3DAtRc85ZlputKTB3K1WQK8lOkpcINKAFbbNs54lycSDN11NUUulxjVR8La3/yRPPC6NVvwgz4kTUl6ccc9QKUpg8Uu3ShD+X/7oO3nDayUgcvrMBX7v939H5xBM9Ve0se4lFcexmZic5NgTPZaXhfIhDr0dpZNWWk6dlPHFgSnBEiA2DXwNYHZzjTSBe7t2yi36bhpQ9D2fno65axqcWdEyZccm1PItR03yqOuyqaWLdibC1ODEqOGwrT5WWX2iHqTNn4wwJqdl6Pmiy7D6VovbMmfzk9lUt6qxQSVISOVNXG1CNaJ6OlPK8cBxmXcrjpnU51ho+Vhq09Y1QT6/d55Aff2gVaOgpejzh64hO1IB4OETQlewstWmZclYH3vyPg4dFR3qrl7sHycBrlvv+wIAs/MHWVqSxO1b3vrvsHSt/5G3vpVjT54F4Lbb7pLn8UKsZEmLnZR73nRlfuPL0gFdShdj00g7wsahn/qxWP0yWCMhNzeMfmVs7PepIIgIOvL3rWsyd7u9mNGhpBlXRLupL0QIp1c1YeG4dPVdd1TXRi2DdQ1SZosulu5ZxjDZ0ne8ktXywTjCSLqO+RF5rW2MSk7qTy9p1/bdEzm2laqkFkJZ6U5C0yWrgAxT/aaposMDT8t67Rgwrs0cltp+WoKblOiPjxZpdeXZswQ4OiZZGw6NSADsSbWJG62AnKtBqHaHex+UhhiT09PUa/Js55ZPpfQ/7/nQ/wBg34G9vOoVkmweKs3xr98hCetf/cUPYCCBPCcr/w4VC4xNSIOytZVFQvUNVlfOX7amBgMZyHeSQeniQAYykIEMZCADGchABjKQgQxkIAMZyED+Uch3IaLLACxtN5ukI2OMpFaQOC2BMTVTZuYzaTWAEMJKBNxrQ0Wj8DdoJP3AgRHu2tLyiLzJSlOyLXP5HG1twVv1OykRfE7PVcrZnN7WLHg+Q1GzO0u9Lk6SddKAf940yWjpo+cFeEpMmA9dYacGqpo52d7q8PxpbaldD1lvSLR9uJxndVNJCF0tE7lQo6Ln7fkRHUUlmWZMVbMYlUImvW5OMybdMKSi2dht36agqIkpJaj+p//sX7K6JnBoy7QZrlQA6LR8zi4IEuLAvjm2q4LCes2rhcDw83d/gZUNKfu7+sh1+JFkT644PMN963JsQjR/9KqruPOrtwGwtr6R8GgzMb4bI748GW6AKIpoNpqYhoGtSAjfj1LUhuU4+JoVjM2kuYFFqOWvcWCnZarNhsPwlIzpkCfP9bb9I9y5rfObc1ivye8msk6KHNjodDBVQwsKuxhyLM4krYQxyCtqb7nbxdHstKOZ0rxl46je+H7IppaDlmIzzZBta0vurbUWL5kXpMtiLWStIfc2VsmwsCI6knFUn85XGdXr9vyIluqT7bjUG3JvJS1jO3XyPJ5m0BbOnWbPHiGpXN6qM6GlIttaVvZjP/xuVlZXAfj4x97Pj/zTH0vn41Nf+zwA7/m597DuSQZsqypIv+X1s9xy5S18qxzdPU6R5wDwyc//FQD1bBE6mvm1bJbPCwrmy7d+kV//H7/Mu/7VD37beS6JJAnPpM7HMLkYoaEZ7aRRht8GFGHR8yASxd9atmgfTuD6ChU/VOKBqhLi5g22GvJ30TLpabZxu+elRj2vaYycY7Oox65WPXaNyvXOtzs4mpkeUTLuwPPJKKluuWLhV5NW0WaK6NgOtIRjs8WL5mRul4OQlXW5xujwMCcXE3SXtlbfFuJdgFY3YDtBfIQG1YaWXisqxzBMfEXHesCIlnMv1bt4SZZS/zUtk2ktX/EIUmLWRq3N7r1SdrK2vsadd98BwIH9RwF497/5WT5x+8cA+P4Xv5l9s5J5/ORv/w9+5bc/AYDrCqK1UKzQqgrSYHRknKNHpczjrru+kaJgLoeFCsOIer2OH3UYGRa0x9rqQoo2HapME4SCHPB0zrAMzFiyt2GrSqQl1rWTFlMjMuZHVPV27xnhQSXWrmQsVmsyDxNZh5ai5BpRN0UDF9TeFLMO57XxQMs0KeTEBqy1O1iJbdI1L2eZuIoQ8oMQTyFERidi25JrN/RaG7HPG/ZL6cbp7ZBNLQsbGR5lWctRMrboVX2pzoSWrjR7IS1Fa1i2TavT0/vUTLlhpGWMPQNGCvKGLNd7dPU1zemLa5oGk6WC/i6iqyi2arXDa14niOVavY7yNbPV0BK+/fsw9R3aqi2x1RAi6ZFyzNKGIqQS9J9hYiQIBMvGtAQJG3pd9WsuhxjS7MGyMYxkPYv7ZZKGSaSoQUuRQLFpksA7BNmlJP8dGNcxulIRMS89OMHdm+L/5G2TRUXm7S7maevcNLtemlkt7PCbzimir0mWovphq71OqkMJYiZjWuS1uUrQ81mJ1U8zM2kb+201K3cvbPPy3WKbzlU9VlWXhiujLFcVhWXLwfULjdT+tc2IpiIU/aBfrpSUg4eGkfoDPSNKia2XGz08Jbz3FP1pGQazWvYbhBG+IiPr220OHz4CwOte9z0cO3YMgC/+lSBwJiYqfPzTYoO+73Vv4cQZQVuY8TIjQ1J21h4XBVxYWGRR0TqBHzGj9AOL50+l6JfLIa6bYff8bmZ2HeCxh+6T+7PyROmyZ0CCWtYFyXRMIrRJU7cBroxXr5FhblLG93pFxc2PZDija6TrRGx1EjSpg534ND0v9YXyJGVjDktaetY1syiYhg2vh6nvuJ3olWmSy8r9BH7AuiJ5RkwbIynBVpTXV85u8aq94jf1aiGLinopDxW4sCH3ltcS5dq5dSbU9jTNiFaCiuxBW9+LA1Niz2vbW1g6QNXYJJvTZgt+j2yxAsCh3eL/37/aoFmTua5USlx9lZDK33TTq1jTPcSE2S+lbyhqaGp8kplp0YteO+DxpwS99fAT57jzS+LX+7qmZ7MZIkVbhlZA15N3ZbiUp93u0A0uEzYiQuDIdoLiNVLUj2Fa/dJhbXxCHBP2xD/EcvuoQS9GQcoc0XLX5zsuS6HM15BtsKHr3Jjj0EgaAYTd1G8q6T0MZxxOawVMHRhSpOdaq42pepdRVGjONHF1pQyDiEUtDy8ZFrYi+tv6/W1nNnnZHlnnGo2IxboiDYdcLqzrXkFt3va59RR13TYi2ooUM31oqd80rv5PtekxoXuYXhgzog0clqptthQBnyBpLStDRqGeK0tnMZWU//zZDXxTUIO/+Xv/jXktWSxrSfgjjzzBfvWhdleKPHz2fgBe8OLr+OxHxU6VinI/23Ufz5dmZZ12gyFt7GLZeUaGpWR2bXGJgQzkcst3YaALwMCIjbQrx0XbDIu0G0XC9xC22qBw9TifwVQjYudjat3EeZNj76q3qGlAa9i0yZbEsDSjMO3+5RJhK9Q61sDETDlLV79vtj1CjWoN5XJ4ujBvqJM/knGItJxy71CW7U35vFLOkFXIqqFdrw5OTnG+JrXmbrFAdkg273OFHIFuUhbOyias0/VY00V+tpBhakyM00a9lxrmvAa6Gp1Auj8BjmnR8RKHzuKH/rnwGd362T8H4LYP/U+cPWLciAucOyPcNj/+o2/mjm98HYDnv/Bmmi3peHfvN4WT6c6v3skVh6UOfHv7HB/+uGwsH/zmGRLVc3LiMJ88c4GJyXkAVlcWsZQ7JJvJ02xUuVximialoQL16jaBp5DmOOTmG4UH5577v9GHTSelGxkHI9kMeBGGzpntwkl1DG5Wvo27VzvUklIHLJyM8kTE0FWH2TbitOtXEjWbHcrS1T1Pq9MjUJ0u5bIECUeFLv7jWSeNou51TAINag4NZXD1vEM5WXwOTU1zpir65BRc8gXZLMwUXSINel04LcHJXi9gSTch88Us04k+NXyGR2XepvcJTH5ubh6jJ47V0aMHqGlgYGrIZmVdglp7ZoVrorJ1ntf8s36nu53yque9Ov27qyWrhyf2XPRvIn/4yY8A8JxbvofHdcEtVLQ8NjaJdWMZdtskm7TPffaT3H/fN1leXvmO1/97SwLJToKzhpluJg23kJYp9lvDIsQxSNeqJGhqZ0yWGsqVpbVWj7SbtDWQU4gMHJlSWp2Ijp/2VcXRwEOy0ZkpuJhqp7KmmW7SK6UCkepxUzdhpWKWSH83Bqzppm1mpEhP9dXQMrl94+Oc0nLUUrlEuSKBzpl8Br8mF1lcEF1b6vksVVt6P1kO7xKnZ73epqtBrVLCz9QK0uZwGQt6QbKJccnq8wc6vs+eGuX+DbmHxfU6oQZN8vk8d98uHIP5cpbXvF5KXb/29VsBGB+d4sj+a/hOUhiWc/zmf5cOn3fc9QD/+Rf+MwD/7b/+Kn+hdjEKI4zLFpiQzpxBEGKaPu1OElBr4wVVAJY3NojjpBurlh3aRtrF03AsTFcGMjNh0tZxjH3ZLDxQbVNV21Q2rZTHshHGdHSzb5mQzSUBSBmXXcUMvaSLa9dLA2H5bDZd69Z0TZ7KZ+jqXB7MZtnWkshyMYurdnMoI/dzaHqSp9oanM4VGJH9HXP5Ap4mCBbPiD55vV5ahj9byDKtwdvVmo+fRJv1/PVGkMafM6ZsAgAqhb4++Vq2cvP0GA9ot82VjSZWUmplxPzFp/4agFe+6lXsmhdH3ZuVNevkyZO02rL+3fCMZ/Phj8oGcnXDxiqrzm7JPRqWK9EigLhNHMum1zBNsVuXo+siMRBLqaSZrGdWv7OZm0m7eyW0AqadSRMlRhRJLTOQncrQUP6nSMunH9n2aeq6U4hN8soJue35dLSrmGVCVhMjyXo1W8rQVhvTbvUwDdGFbMbC0/V2TedmupChq7Zwf8mhtqVJvyEnLX2zNFCyf2KUp7XdZa48xsSw6NV0vkRXg16LZ2SN8no9VurK1VrIsEvXueZam25Sdq4cX7VGIGMBFCybnH4+NWSQSUoXO6KXz3IdaiWZWys/wQtveRkAf3nrF/njP3gfAMtL6zzrhpsA+Ff//F8B8MSJpzhxpXTwXFpa4IF7xd9aXsuye5888/NuEU6m0WKBde0o2u5s0WrK5t+wbCn/ukwSRSHtVo1Dh67k1CnR9W67meqLWRgm6miUHQ04hwGRdlU1rCA9V5yPaejaMqQdGo/VPFp+X5+0SpW1Tpxy2ppmTEb92WR+JgsubV0L6/Vu2kEvl8sQaPBqXcdltpTF07Vut+VieHqOSgFX16IgL37OodkZntqSoHZpqMj4kKx1U/ksnurTwgntFN4LWNBukLuKWXZp9+S1mp+uZVnlbY17Pr4GniPHIdRFvba5ysaa+E3ntIx/3s5Suknm/Yprn5d2dt0zNs1jpyU48YVH7+XQ4V0ADJc1uNXzWD4nHYhf/vKX8gv/6d8C8OSTYJlyvXZX9x2Bn5Yru7YhvIFArdEjjqLLVnEWxzGx38FE53Mnn6mZwdRy6363vpBYbTehB47arKyZ5A2Z1bE+02pR78jfRQwiV85bD006eowdxeQ1wZ/487uKLm1dK5qtHoYmLwv5PF29j1U1D9OlDF293yMZm+qG/D1Wzqe65CS6ND3N07qnK5VcxoqiSxN5N9Wlc+eFRqXr+awodc1UPsO8BkhXah6GRnGHhuW8VmRS1+fJZSzWVQcLGYusIYNi2nL+V+yd4EtnJGi6VvMoKc/eLS+6mSuOyJ7NcEzWtuSYm254kd7XKi+65cUAfPWJh3jPb/wmAJ//wn3YCa/nZhWAK668MuXzOvbkMpvrWh5umUSXZY0byEC+swxKFwcykIEMZCADGchABjKQgQxkIAMZyEAG8o9CvjsRXRFEhEBCQN9H4JumDYpo6Hc7M4mTDjB+nxDXMjyuPSSR7EVFdI3lHApWQuIZUNJjG36MrygCM4a8ZrR7mv0oWQYzRclGLPohGUWTNapemsVMIv4NO2DIkGuc7/ooyIdT1RYKNmNGO87U8z1Qwtyrp/Lce1oyAXW/SXVTIuRbinwpmkZaXmS4FjktO3Adi6LdJ/YEGJ+epLkuyJ1mEJDVzGWlVOR3f+XnAfjJPxIo/Wfe++ss3PtVAP7Vu/87P/KWdwDw2b/+LDffcAMAt9/+JSYmpGVcpiDneuWrX8aHPy2Zy/pSi/UtfbjQ4tkvfCYAT5+RbMbY2AhPP/EYAF5nk70HBJY9PDx0WRFdlmlSyuc4f+YsYdKNKva5/0FBCJlWHxmUTg5+f5ztOIW553MmN09Jpu4pfdbhfJac/r7V8MhoSWoz9FMSSSOOGdIOZKHqSMW1mCuLPp0LIzIak27WPLJJOaGiJuqWQVHRXWc6YZorOVVv4+j/zYo6US90iBzRx2umc9x7UvSpFraobUq2Z6OXoDyMFBJuZkyKigpyLTMtA1g9L5nEo9fewBX7nyX3tbHG6TNCoOpksmyHQsz8fT/y0/K8s1f/TdNBfgdx+5e+9Fn5Q6/7jte//aJjTyxIedDbxrIMv1wQeJMT0pXq+5/9csraBay2uZ6SCp858RROtkQQBlwekTLqeGdXmaRzWdTvnmk4CelqN0V04ThE2jVyeMpgfkTe+xNrivLLZ8kq2rTb6mF25BwNP6SnZR4mUFKUlqefFW2TEYW/m6ZJLtGlbY98UcsUFGFh5CxitRHrYURJofnHt5ugWfdxSSBSz/UIbdGl/WNZHjkrurTVbVLdUNuk3YdKhpl2c3NyNu0EPBnHTGmJQa8n140MyCiSphNEaSlCDHiJeqhO9LyAabW7F1ajFMVmWsYOglqDe7/5MAD5srw7t97xEe5/TN7xzqpP1xf40Mc+/Bd0Fa1yflH0tjiU5wXPey4AH/zQn3HX14UIGtMlCi9fowzTsigUy1S3N/C8KgC5wgg91QHTHSJKq+F0YCIPIkV0WUaa9S6MwMEZeTcuqN7MFjIMqa60Gj3cZM0K/HRds0IourruKRpxJGOntmkhinFVn9p1j4zapo7asZrjU9C5PNXrkNX34nS9havoj6kh+axa6ODqWnnj7gr3nZBM9lavwfa6IFU2FS1TNk3CBP7oGmQTKgHHJK8Isap2pfLjiLyWozT8iGLyahom7QTRlHQf9QOmNLO/uFZPgZnZnJu+u4889gi7GoKaKA1rM49iwNraWQA++9lzbNYSH8RkZEzO18rIi9Neb5P4LmDJnAFx5F8+jt44Jg66mE6GPlIiwjATJLGBodn3pKySIABH0XwZF0ORCbmCz9HdoksLrQQdU8BWKgSv7VFU9EM9ilNdsiODgpbO2LqWjmVsfB3D81FERse7WQ/IaylzT93UWs+npMidMx0PW+/z2FaLvPo6U0Oqd8U4tU1HJ10eOCm2cLPbYEt1aUt1aci0iBI9cPq6VM45mKpjScl0Pmfid5Puaz5BWl5lUlWUXqz3SOjTWBNkxnNe8zI6XdHnerNGoyF+z4mnT9BTYut6SxBmb3rBD/CsnxL/5yXf8xwsS8Z6Ythic1OQOU89Jf/G1SY97TgXxnHatILY+pYmKJdW2q02Dz74EEHkMzEp6MbV9ZiOVhRErRqGIkFJOq0adtq7w8wWMSwZx+KkwTXzFQBOKghsV75AWVGljXqHTKjlW3Gc+khRAGaQNHWQz0ZdGz+xTWGY6kh926egzXQC1dOttp+ubwthkGJzn9xsUNQ9wMywUokU24RaHn7lVI4HTsi8bvXqKUp1QxtalHfgfI2MnTbrCOOISS0z85WA3inkU33r+iHPe7UgZxieotnUhj+PS+e76fE9NNW2P/X0GbqejPUzj17H1fsELe/ks2kjmPMr4k83WxsErujbe37jl1hbTxqQtDl0pejW+TOKCtzqpRQrUWwTx4mdMghbCwiZwCWWOCaOI0w7Azruhpsl5YEIg7SEGvXbDAz61DURsaL43EmDZx2QssANRYofKuQZySgdx1abotqThhfS1rmxgYKTlL/rXjDr4I3IOU7v8MFrWx2KqksJWrneDSipT3eq1sZVHT2+1SSvzzSl1QabuRah+uBHp3Lcf1z2YdVegw3teL6lupSPY/wE5Z910p7kjm1QUn1MKCqqvk9F9bnW8xhOkf0mHaVi6apPWO902Kddu2983gt5znNfCMDM3B6m1Id+6tRT7DsgevWsA1df9C/A2uI5Dhx6NgBx65uUZtT+67OtrqzQrItPODk9i6VzaBoG6P53Y5GBDOSyywDRNZCBDGQgAxnIQAYykIEMZCADGchABjKQfxTy3YnoSlgsdrR2T/903RRhE6dcJXbaFtfKmiR8hoZtclVBsqwL2ma2bsaMKengdifCDZN2yVFar25FBrESTx4YET6HnhcyoVH+zY5PoJxXFuBra/PxsnyfwUlJoKtd2D8rqLJ9GZuhopzP0GTFZqPFjKagA88kbkl4/+TyFkXNsBYS7oFGm66S7m62PBIK/ulhBy8hF9YM2NnFdXr6/QjCnwCQaXVo62De/Ynfk3OFEbXg25EL33z0a1zvCZLm9a95PTOzkgn42f8q/Ev5TAFXORdOHnuK2rZksaxMxMTevXKOe74KgBMsYSmRYmVkkq1N4VCKIpODh4S4deXcnd92D39fyeVzXHvttSwsLeJpm+Y4tok0Qxibdp+bKxGzj6BwSpBRDha/FzJlSZbkmLaPNoweYzl5robZb1PudX1cRaVYgYGr2aspJX30/YgZRbqstXpEif6aBr4iOsY1c5kxbExFY3RCi+sPCGmq5dqUS3I/hqJx1rcbzJYSfTIIWvL5iaVNSgmfl2Ze1uptWkoavlz3cVDur4JDrNniriX3+/V77uHps4Kwet71N3DFq/8JAEsPfgNjSDLVfxuS6zvJO970TgBO1U9/x++f8yxBBX7ugXu5/Y5vAPD045Lpzo+N0qtJpkwI4RNYUMDihbP43mXITAIYYp0S/YjjCCPJRhpWigSMewl/SZx+Zjk54ZsAqsshVxwV23SsKdnYFVppRjgwwFSkROj1W01bYZxmPQ+MyO/jKGKX2qnNXkTo99FfHSWpL1VEl9yega2Zwk4E48NiswphxIFdwvnRVl6e9WqTPapLodclVh6MU0ubFBTVkKBjV6qt1DZtt3ylJIaxsptyBjVbirqJYta7kq2ezmYIlDMo6zo0NUOfsC6t9Xy2ev25THiGcsMWU9NCMB+bPpUxQWwZOeWhWzjH4d2HAXhi5SledMvzAfgvv/YbvOV73wjAkUM3AnBoBu69S2zPpz75ZXbmh9J26Fx6MQ2DTMbFMEKKJSEstzJ5et3N5OoYSuicJrdtiKOkLbuPkaCI12yuv1p0Z1ERLdt2zFg+IU2GMNUnj0zSxt0nzU7PlESHPD9kVm3TetsjAcKahoGvqLyxIeVaMhxMRfc0PIMDcxUAdlsmQ9rsBM28b9QaTCnyuNlq09PGKyfqTYqaqR7SNWKl1kx56VYbHrbqQ6lg01EEia/wv8C2uNCQ9222kKXR0yYuWZOW6lPCS7fW89juKsIqjlOE1dBYjsa26L3jOMTKtzm/R94J15hnSH2JB+98nMkRGdeFrZhMRtb3jRUl4rfzxH6y1vjsYITHMMzLokuJxKGPkUA2MNPMuuFm++itlFQQYuXPMjIudkHXDT/kmpzM7/qqjOs6fuqP1KKIXOI3eSE5XediPyarfESzQ6JLURCzqyLjtt4K8JX834wiPF1DR9RvysUupq6Ddd9NdWmvYzNckfdDgbts1NvsUn7VTjeg25I5XVlqklfkRUF1abnWpKW6tFz30sYusQnloszjuaqsfdtBTE3va7qQI1BdKeZcNhQd4ioh+IbvM7Fb/JzRsRmq2wJfKI+5nDorvtD9D9/BsbOC2Hnt6/v8lOcbZ+V6qyvMje8B4IlWHcMUlLITJ01mTIrKmVhtdNMmKIbhc3laZIh0ux2OPfkY7dAgk9e5tBwstQux38XQ8Y0VhRQbEehnRqaX+ue9RoYbhmT+FjYFAbJtdBhT/q3IJEVgd7shbkI8HsZkVJ+ShiRxGLFXkSrbnRCvlzQGAE+5rhJ9yhhOqk+t0OLGK/RdzmaolAWZH6leLG1U2TOkfL2tmIYSiC/W1igp8XxJ1/kLW41Uny5sd4iVN+ngVCFFECXNgfL5MsfWhdvryolh7rlTCL1v/tn/ThHx41500+sA+Oqtn+Slr/hhfbYOw8q7eqGxzsmnxcdqd7d57nNvBqA8LmN919e/Rkb15Zt33UGlqLxbJRtf+cqam8p7ZpUIFWFqEGCQIM97YBchEMTRJRUtRImjQCYbIPSFTxDA6FfkGAlwOfBS/TLsECOXVF0YXDukyNk18SE2gzYzJZnzdhji6Jz3Ol7arMDwYzJ67l0V0efAj5hX27TS8Oh1kwoM6CTNvYbl2GzY553a7Nkc2S1zdyDjUFE+tiBZrzZr7KvIvddqIfW6zMFCrUFREdE5fdClWoOWorIXtrvpOjc+lCGjPM/1pK9RxuVUVdb23aUCm4m+D2XZ0vcn0ndnM4RlbSg1HMN2Xeb1kds+xc/8mFT01GamWd0Qjq4znbMAfOW2b7CojZ1OP3mW9Q1tYDNXwdXGHOcvVOV+sgGh+rNLC2dSvq5CcUhswUAG8g8kly3QZRjG+4HXAmtxHF/1Hb43gN8CXg20gbfFcfzg//HEcUwcB7KR1ICMYYXExg6DnHiKSdeXIMRWIkDbjtg/Ly/79bsnWVkUw5BVB2lsyGVqRBbKhh+y0JIX+dBQAUu7NbmGQU43VB1lDB8puilxbc4y2dTYSKmYJUpK1BLy8bxBLqnHIWK7lXR7MTm7KJtzVzeKOcvggrYS6jR9yskexrVoJcSDaq3ttkVeHfZ8xuKs3ttkaJE04NnUgFcvjKjqIpezzRQ+vVmrcuiZEkBYWJLAxebSCmfUaK5sLtDxxLm1TYPNuhjCH3nXLzE7L47C6oYEqcp2iZW1KgDrPYP1ZkIw77J7Woy/mZUHetVLX8A9X38AgGNPPozraBe44uUrDQLZqBpOniOHD7G+LhvIOAyJA4XbuwamEoRG6rBhALrRyY9bHJwWqPT3TxmcWJG5tHRRHKvkmBmXZ12pd1hV8ueDlXw6J3YcU7ATIm65xng5T6BORtayqKp+FnJZwjBZ2bSpQs5Ou79YPZ9NDayOGgZnzstc2E7SHQZObciz9VoBI3oTbtahrfoZauDFNA0KuvBixjyhXSAn3AwH98hCfvUbpYx1eLhC7tDz+gO7Jt04Z656Lo+fkzLGT//WvwHEyXvnu9/zHWajL1/45uf5yCfeK8+sXVxWTl/gLz4kAa1TzXM8flbe3ZlCRHdLAlxfvf12AOJWj6yZ1Em4aTkXhpU6S5daDMPAdlwC3wd10sxMBjTAE9Mn1UW7csahl3Zri4Mu81fL7151eIzzC/J82lSV8VKGfdOyIXio02ND6/+mSm7agdOKYSzp+KR2xXQsDkxUAGhc2KCm9OHlIYd2V0sTVJfMfH+j7RoBDXXOhjIu9z1+BoBDSsRtxT3Oq21q1nsUE/79jI3G+XGz/fJpLyk1s2KWdQM91kmHh7o642Ec0tS5a4UhRbWrfhxRLIhtLqj9bEQxK1rCUSi5+Grfwiig44nz9uZ/8maWteTn0H4hWvVqDf5MO5sxPExmVIL0ZmOBVlts8Hv+4P0AzM/u5t77tMyxXacf946xncRp5pJLnJQiRSEttRv0/LTDnFUaJtJSkigSXQnrWxhm0jHWZvqoKNxLDk2zuark3JrsGC+6zIxrN8d6hxW1PQeH82nVkxXFaZOApt7DRCVPoC9RxrSo6v0W8zZh0k1Ug1dW3sbVwIKBz1ZTG3PkMpxbkPKfrM5l1oSzW/K9E1mMaLDYdEw6aps8kk7CRtrYtOEFPKXdQUftDLHqUUNLDVteQEc3oe0gSG1tGMdUNBEQ6zvYCGNWtSlJoZQh0HP0ej1y6sjnh0yGJ/rlGQDt7RpbVUmWdcezLBxTkmO7y65pudHFs6LzcdhLOzAa0G9cgZWW2156iSEOiCMrfeEMO0OsdspwbOFkQIjMAYyMkzbPMGwYn5JneuORPVTVTynqWA9nHcbHxMdqej7ndRN1sFzA0VIgKyItPWypbSqUM2n5n0NEV689VHLSwKuRdI92DPJKFB1FYdo0qGLanFXyZke/z5sG57bkd+26QSXxDy1SAurEUZRSGvmk7gU8pQm5EcdNaQA6ao/q7Q6+NgoaHx9hc018hq4fkdOAz/i42Oi9JYfljNjKBx+4lTu/KUGMfMVhSBMLL3jRi/A06PnJPxd78z+P/zzb2tV0qefw+INCTH/TM59Jfkh0c/GUlggGPdpalkTc7gcCwstbrOE4NtMzE5w6ex4/Uj/bdNLyZsPNg6U2q6S+rg9x2oHRYO6IrOuv2zPB2oKMY1ZL9yeGsuyeFtu0Wm+zqiWR+8u5tIudHcdpQqWtZcqlSjZtNuEQ0dF3fch1+uFktSVmFlz1m8KOx3ZbmxsYFqfPaldwdSGywHEN6u5u9BizEuoKi56fRPr1/KbFlhLFZx2HbyyJXRhzXOY1CBdrs4Zmp4c5Ni3XnSxzzY/9TnKX3zbmt7zi+9K/kyAXQLNdZd9eeffcfJl7HvkcAJH698NZh89+RXTvQtVk+Zx8/tznPAO3ION+4gFNnhhtgp4k1ipjMzS1uUEU9nbYqUstBmBCHKUghdS4g46rjnEmsVcGpps07ooZmpJ7e+U1u6iuyXjntKVurphjTJN+S/UOF7TxxOGd61zQX+caSTOnsSKR3k/GNOmoD13Juv0GVYltKljk1Fc26FFX21SITY6tS2fBfE7OnzcNTmqH6olqh2Fdz2PbxFNditRXsiwb35f3qBNFPK12YSabxdZOmT09b73tsaambSoKySTrtheRL0iir6j+WIsqL3nzjwPwzQef4FUve4U8e+/mdNjveeB2Tpx7VJ7pTtHXk489xPTslQCc32xx91fFL5qfm2XvFRUAFk7K+Jk27N19BQDLS+fTbrWGYeH3egxkIP9QcjlXww8Cr/xbvn8VcFD/+1HgDy7jvQxkIAMZyEAGMpCBDGQgAxnIQAYykIEM5B+5XDZEVxzHdxiGsedvOeQNwIdiSWHeYxhGxTCM6TiOl//WExuGZEMNSOs1DBcjgUIaRkr0nCC3Y9NgaF6i7a7VIdBsQbgWoGAAivqb8eEStmZ/Z4tZDE0kbLUD9o9IFqXe7pFPYPpaNlOysmkmIAwMStpqOgwDehr9X9e2yJOGwYyS3GczLsViAvGOyZpJSaOca3auTFZbblfX+mT1sWmktJBeQ/7K2TaBZtQd02SvQq29XkROn29eU1QXujFJzUkvFlJ2AMOyePwBAdbd8CKJU77shVexVzP0t935GT70kT8D4E2vfzOxKSiB6ckpTp8Q8mZPy8J6+TYPnZa/g5pBHMqY3PCm1/G7v/3ncvM5mYv3/9EfpQTnGDaeIkxi7LR99eUQw4CME/HU8dP9VuuWkWa3wSJMWmInJLOxQWG36EI218EOJYN0bn2UWlOzaIqDnh4v42omaGYoR6Kmmw2fA6Myr/WWR6QT21EEgQ90tEQsikjbmIdxSE/V+1xDxn7WMhiPZGxLpSyjxQQtJIgLIEX/TM+VmFJYUWuzk0KhYzMmwc4ZPS0Vs520RGyskOFKLausNXs09dp3fOpDAHzPj/30xQM7cSD98+VvkOf88P/+XQDWLpzl/ySvuem1rC+LPp1flOMff/Rh9rxGys32TDyXr98uWcpbfuhNcEHu01G0Sq9VoxMlxLxGH/MehjS31uiTQV86ieOYIPREj5Sk3HSGiBMyb4N+yZK+e4abBVOMUGYMSloK2FuHbkd0oaSoof2zI+m1xnIZfC3B2moGHBjVtuTtHi0tq05ITHeX85xfr+svrbQcqxPFeKrniS7NmQYjGdGfTNYm5yqqxjTSUpJHTgt64qYrxrE0S1dba2Kn70+MqSisel3ef9eycNTG5GyHIUWhBn6fbH6Xljg9sdYi1PsK3UzaAh7LJOrK+NXUbudNK7W7xZJNR3XXawccuEpKxk6efJSFJUF0PXTvPQDs2b2XfVe+BIBPfepOHvrmhwF4xguu4Iff8V/lnvWd+7G3vY1DhwQJtrJ0huqWlJqYTjHNtl4OsWyL4ZFR2p0WnjYIsG2bjCJKet0qYVfmNUHhgI3hyHi4IyFZtQXZZkyjJ+M4oqjCXTOj6DQxVcoSqY1fr3scmZAMeLXZJQFs1HWui2FMV0tew3CHbYrCtFnAmVpfnxKEYSbnUNL7McIYV/Whpkix2bkyY0oE39lop/pkWwZeUkKnUEHXsunpO1TMOJQ0mx56YdKngF16X081OwSqT77p4CcNNiyLsCNj1VJkY8GyaGppWqlk01VEY7flkxNgLutrq4ShoB48/X5qYprbHhHXpbeSl6Y4wPx1V3LvfYoOScrKwoA4LSsLd6BvAkzTJvx2MMffXwxTyObjgDS/adoY6ptE7Q52paKfK/VDbGLn5XtnKMZSBIW5XiPQMmVX0TMT42PYOq4zpZzUVgNbnYjDY2KbtuodfF0LGzp3JSOXluKDQ079qjDw8XWxPK1I4jnTYDyUc+WyLuV8cp8xth5bU6TYzNxw2thke6WWOrq2Y9LTcsOCjoNlmvS09H8041BS2xT6EdNaxhQqYmgzgvywII3MQp7RSTnXVq1NVtcUV3knOlWfO089Icc6Bhll2m83PfJFucajj93NrklpbLCmCMfSUIXbbr1Prtt2iAM5dvaKK7jjs/J5Ton6m1shfuoJuiQuvev6qW5eDun1PE6ePo9hOWm5qGGboLZJHB29Lx2P2O5hqu1xyhncpEHKVhftWcKIEtRPjxdTyoipYpZQF7OtdsThMTnJZr1DNllntDRrKDbpKaI9wibvil2IQj+1F4t10addlsmY+sOlUpZKSRs2+WFamtzuyXUnJ/JMqN/kbXfScuxMxkqRhbanPmsMtq6hu0ZKDOdFL2oNj0n19UuqmxvtKuc2VgF4vFXgmp1IrkipF8yx9KOf+KkfAqBQyJLRUul3/7v/QtkSxM7p7ZM860ppELWwLEj6QnaMJ07LedfPgV+TNeOml72M9//GnwCk73bU8zC1xKxW3cR2lP7AayGoqsuD6jJMk9gEEvL72JTmPSSouqSBhjbMsPPEpiiNnTNxclqOXOuSULZbqn/TExUiRbFPFzIEWumyWve5elLe741eh1BtdkNLBVsR+LrOBSHktcokjEICRVydr8o6t8s0GdfXLZfPpCXPgR+la2xDbcjUVJFJS56jsd5KffBs1k6RYEZSrWFZBHrvWcumnEn2sQYjiuQa0vW1VvWw9FztiNS2Z00ToyPIvJov9nOkUCLUMtHn3Pgs/uB9vwHAM575fO7pfF2OKQ9zaG4/AJmcIBH3Ts3zI+/8RXm2tgk61ge+5xq+8P6/lHt25Vi/2+bCeUFBdrsdQqUU6LRaDOjBB/IPKf8vObpmgQs7/n9BP/u2QJdhGD+KoL4YvCAD+fvKTn0qlob+H9/NQL6b5WLbdDl2qAP5/yfZqU+2k/k/HD2QgfzNMvCbBnIp5SJ92sGPO5CB/N/KxbZpoEsDGchALp98V5DRx3H8XuC9AIZpx+BhmBZxSpYSpoTOQvysmT7lLjBsk9ayRPfHjsQ8f16zH092U6JdTzONBQdOrwoh5t7xIuc3JWJvxVBXDhMzjmklf2uNthcLegdgpbkGgfLjGP1MwIxm4QpZh6byRJQNm3ZLUQhBl+ERifS/ZFIJbLe6rKzJ/biFLHXNPJ9pdpgpKDmwPnu3F9HVv5sdPwUl2YaBrxnLULNaI2GAnRAOO1bKW+FaFiVtS3vn7bcCcONLX0nVljE7eMUV7JnfA8CJU49xfkn4Izaqy1h6wbGyHLu93SSncaTGtkkmL5H+p594Aier996U7BpK4ApSw53VjFins02pWORSyk59suxM/Ccf+iidqI5RUL3xQtKgRRxhZJU6W/XJNF16mmy7fk+JN49K1usLT3bIqj75KSdWzKkFOXh8KMM51SeDmGrTS//2tTbfUbhNbNmMDclzrzXX0rbd+azNkGa9GZHBHSpmaCuSZSqToaEoGi/wqVRkHF+m5JhbVY/VZSEuzZRyNBR9d6bZS/WppsiOKDQxMvLsFTdmXAk/RwuFNOPpF0Xnlx9/gD37n/WdB1yzUEeveoY8Y7nEsdMPA3Bk33U8tSRZ7ytmrrzoZ297478F4D+/540ADGccxg/JMX/1F3eSK8rz+7UWT3xT+N1G9X52H7qCu7/6BTlRZNJn646VY+073+r/rXy7bTLFFCkvTdRpY40KEisOuqQmN2mLbpFmuQ8eHeKWcZnzU0/3UsJ2a0cW7+RKFYCca9FWNGkcxWwod4NtApoJtTX52goj9kzKuNz39HLCVU8YWWQU/jKtKIVczqHtJ5yCNt2aIjLjDmNKTP/aeeEU2ap6rK6ILjn5LE1FHZ1udJnWdzZWNFomm2VT0Ra1tpdmG036SMlQEWq7sxkS/JlhGikXYRzH5PW9MlXftzsd/I48UKvjYbuaHc27xIqOvPFZz2b0jKBCH31UOCWefOJJTtef0muUcIcl07m0vEKsHHiVEbHBH/jQR1ICa98P+7oTRSkZ/aWSnfqUzZXiMAixLYeeNoLodduYttpDwxcOOCDuafMLO8ZUdNPs/gwv3iXPsHyyRVZtS0/nPBMHHD8va8tUOcO5DbFNURyxui32JmeDpwTziT46WZehnFx3ub5CuyU2PJ+xKSgyYFbXwnIhQ0+RJXnTpFlX1HMUMK4NEm7StW51o82J85Lnmpyo0NNGGCebHeaUS2tDedc8DHqaga+2epiqT4IaTBokyO93ZR2G4oTzxEwJoY0YsglRuuruZruLp2ildsfDdBP9tYmVM8pxTWan5wBYWJD1b2lxFTPhJ/MMsspX1Wt5RK0E2aIDSEyCjIhjM0WuGKad2tVLIRfbJkcBy0bKL0nQxchXAASBqeTOCSTOsCBS0uyZyZiX6nu/eGwx1SVfXwY3DnhaSYgPT5c5u6bcPlHMmiKysma/WUEuQVNZUFZi+jNrDZrdZJ1zUh7TuUnxJ4YLbsrzkrMcqjXls4m7jOn7e8OkrHMb2x2WVmTddQoZ2h0579lWhynl+dtUFKtvWfjKLVVre2lIMGMZBAkfpiLX9hazbOsz1KpNnvFMWfO2Fk5g9fT9cRTt0evS6ypSuxUQm0pW75okgUc3a9HsyLhtb8iYnTn9NHZeif+rkBuWOXrkoccpFyt6DkXJrawRhbLGm4aBrUbf8wyMS+zeX6xPbmwQYdhG2tzAsEj9XjIWREoQHyfIHBtDEVvjsw6vm5FnOXNsm4RxylfdK2QcTiyqbRrJc1YRyVEEK1uqT7ZBT+cioy+X4xqU8wK9vLC1SlP99FzGJqe2aT7Rp2Im/f1sqUR1S471Q59xrd544S7Rp+W1Bsvqx/1/2fvvMNuyq7wX/s0Vd6zaldPJHU7nqFZAGSEhJJAwwmDAFwzY2Nxr7GuCjSMOXExwEBibYEwyfNhkhBAoh26ppVZL6pxOzpVr57DCnPePOdbc1QJb8PkUfsTd43mkU1219wpzjTnmWHO87ztK02VGgjA91e6zJrHpSl8aM4xytKCiBqOMhqzf9dB3IvXTEqN7HcNLpu33M0/x0E99FwCv+s4ffhGSq7D/+GOWTfHMhWeoivbZRz/+Xt72Gtv859DMmst0Nq/Z633f+3+ZU1dsfqSCMvVDawD8zm/9NtsbVptLFXp43jg5CkOPsECHo7luSRN/3JeMtnlZsWYrk6C8omuY53QXlS5eakAF1u+nlzLecpvV2Oye36Ek72RViVElMp49a8fitkNTnF63aFytDRe37TOrBR4jQRbL9CUqRcyJPuyZrS5t0SurlEIi0QI8umJzu7laiVTWkAjF7q6NN7nOWJJ17jbRw9zaG7Jx0Y57VC85Xa4z7QGr0oxsQ5BdA60YOT1MRVXmR+hBV9a3kqAoj9UiFpXMOZXQlvvxjOe0DTste+87qeZ3fs6qBR0+epKv+uqvAWBmdpbDdet3H/34RxgN7OfrNXtvv/7f/yuleXuNvStQm7Nr96XL6441YaSZgRfEZFmRo0KlbtfEdKRJkwLFO7GJHbz979zougIc3vffh+R3X9iUTRRUUFy+GtPK/BwVFh8UmsO0cjDX2VqF9lUbyY4tVNymwJRMUmW0E/Y+vdV1Xc42d3pOH7FSClkX7kwhpGp2O9x6bAmwyP9YkrQ00QRyncWGVz/NnFBkPsxYmrULcxSPBeZPXxJh9HS8wKhRgrw3slqrOiHErtxDqhSil4v2FJkk/7nBbYTMyv1EpZCKdDPbNcbRR7bzAQ8ctzSd7XP2cfzku3+Tja2eG3pVsUFqulplOLC/17khFMpn0WXyiXMVjFANvJIiEfjstWcvoqRRgJaOI2iFlg4dtak5Ytno2tvZIAwOzk09z6NWKzFs7UFdBPL9Op5QD/NWxyWMBRNu5s6IuihvL5ZDntq2f79pucSeLHDThVgpuWsk88JW13VVXN/u4QltsxaHdGQDM5WFXO+0OCFUtWcuKSeym2mNL4qu0wWFKTWOdrmx22VV/CkMA3ryYnD2sk0aTaIxRSY/HBLJZudyteS6AyUdm/CF5Yhy0e0IRadQGDeGVDi9L73/GADVxQYb73onAEtv+7/d+L73nd/O0onXAXDv26xw/c5Dv8b8ip0rH3r0Pfz4f/4RAH7vZz66/9HwY//5uwH42rfZ5O/uV1UYyqZwZ+fX+cgfWeH50597nqDooHXhPABXTz/Ln4xiUHBggs8AOfgeKpIuf37gOjDisY8ea39XWTWcOGmT6VtmA9ob9vc3L9doSpe3SObxcDigJRyPjbZmXjoJ7ewN8OQ5liOfpkDkC2pY++oedx23jSLC0EcX9AMPJxpf8uz4DUZj6lez02dGEj3f9x2t9qKI6+oko8g71Sh13bCONuqoYnNKeFg7/RGlglHueaQSTAOsmDjY7kAApXJATZK/poG2ULM7ee6aKhTz5cyoT1oMr+fRWLLJ1PL8PEfW7D0/+PGP8sLzT9nxie39PHkpJRvKC1qekuTW5zcvDFFCS1jfsJSSfNCkK7FbJ6N9aIaD7RyU5xmd9h6tnSZ+bfzSqDOJxaWq29RExiVehGnrTizPzBLs2r/fsFjbF5vsgOk8c2va85tdVqTD1LWtDn5QUHMCujLWxbNe32jy8ntsNzk88MVhRlmOFxbiz0LzSY1rnrHTHrAgHbF8PyAXn726bteFXnfkmgx4Se46iR6q11xsKnjbe/0hsV8IjHvIHim51hjZlCjoI1HJp15QbIFez/pWe5QSRPJCKi+g55I+edEk1fOpCc8z8FSxd03SH3LqeUurLslL7COPdUhasuFgEgayJl/pbqJkE8XIeovRKLfrlWNcwuLZTagDC08Kk/tQ0FyV78bVDyO8WCidQgMKqhmlKSle1UqkF+18ODJTZlM2RUuSN+ksoyxCx6c226w07Lhe3ui6jmjlUkC7X2ycyybVTpcTR+xaYPwtlC9U0TTHF19qyKZqkmlHf8kGKUtz9sXRKJ+hPPOzIkpvsnEX0WiUO9r0SrVq+bZAwbNNdU6p6Ibre6SyPnhasVE0h5HNuKE2TEm82laaBz/1iL23OODwfAOA3Zbd/H90b8/JVqQmY1ro5aHvEUhRsLPTJqvYjZsimjx9LSTrFIlcxg0rdq61NnsclhfrOLDH6h9e4/y58/L9zAnbKy+koBUdnHmYNMHJAJRCvJp9Vl5FYxKJ8bI5F1QGxDV732szJfSOHduTK1NsiT/V5DllgwGZFBafuTZgSbo5XtnsgvhTpRTQEn+Sx8/ljTavvE8CoLfpQnWWa2JZ42qSNyWZRsvzubbd5viyXbP9IGQkwe7UeUtTN0k+1kfvj9wauVavug31XMTsm72EFem6SuChXUNADyNxsRAKn1mcY0rJmp4bTr/wDADP/92v5PVv/ZsAnHjTX/ljI3/b0dv4T7/1owC8/CUvBRGeeP78Yzz4iQ8AsLp4EwCfORPRvSxyFskIBvZGtk2TmuS8vWbRBToR34E4KtGTzTvCadsRWhefu86mAC2yIUgIFBqjF8Y41FfRG6mc4UmXnrWFaRaka2Blqca6NA0IJabnaUZFfOaZ9Q4r0mzs3JUmSjqiVyqhoz0X8/DS1V1e/7Kb5YRCzQWSLCeUjcqadKgepoZc1phsNHANzTQhI4lDp2Vzi0w7kIbpj/DlnpeqJVIpXhbyIZ1ByrQU2YYYElkcjFZoz36mLhvos3WPrGVjyVY+lgTY7A6Ym7aFp2rDzo3ll7yGt9/6MgAe+dzj/NEHfguAH/6hH+fseVsUvOfOB2juWSH917/yKwH4O//4Z3n9y95hx/K5JzDyTvTsw6dozNoNsvae3VRUyiPNRH4l1/S7BVAgdN2xi/RlYhM7SPvfiWd/F/DNytrLgdYX1Oea2MQmNrGJTWxiE5vYxCY2sYlNbGITm9jE/gd2YFAZpdSvAa8D5pVSl4EfQPbjjTE/DbwHeAtwGugD3/pnOb4hw5PKA6E3htsrj0KmPZJqrK8M977EVpJfP7fA40/ZKs3SVERPaFqFKHpnmKCl4jfQGS2p6K1MldgRgfhhoikLemkgqKqZSontbkEf8jFSSqpUAy5LO9sCSpsB01VboRqNcnZEKPzoYpWa7HD3BO4dZpl7SLkHqdCKTKbHLdxll7/dT4lE7DLwPAYiaFjyFTVBqXWlqpwHHr7QMryR5lu//a8BcN/bvxsSK9z8wd+1u/zP/8LPslOS72mNEpRGq9XFY0wJKZikaUFDDPNChxSTGoyoGteqFToiVqwExTU1PcfJk7cB8LlHP0WaSnXcD9jdFZ7gAZjyFEEUkuc5SlpCh/NTeJFUupeqrpKjpIEAOuOBBVsJe1O9ygeuWkTCiek6LanqEBfto1N8qRr2shFtaau7PF1iW34eZoZQUCSplCZnwpBzQv/Ic+PQFFEYsCtVn0jO5Yc+81JBV8qnKRDqo/NlqvK8u3LcUp4TS2kyUR5Z0Ro7M5isaLcuCKLBiLoIXvpK0ZJmCvNTJaakKrp5/kkATn71P2ZJCGfv/Q/fj1ez4/OSL/8mnv70hwF49y9ZwctDJ09y/sJzdhyWF/jSV7/pjz2XJ859RCge8NO/ZAVTL48q3HbDvQA8+ujHUVK97mzs8ur7XwnAH0o1yrZ/LiraI8YCzKGgJg5KT8tHBdEY9BMqVIGFR7ku2Z4NRyS9AfetWhrUzSbkyYH19XKpzK7M9VjmdJYbVqbtc352o02roKtOx7QEdTNMtUN9Kvnh+NIUl3dtlTPXOIRpHHpsCXUjK3wqDpiq27jZJnFoqcWpmLL40kjQKJHWxDLpUzSZ+GOSZu73oSAXYmUcUiLyFQOpglfDgFrRBlvuR4eeQ275qXbot/4oJZdYOZTAsuDHDObtsTKtyQWi1u32qVVsFXNxscqgZ+fSIWl3/fD530c3i3bgHp5cpx5qvvLNbwHg3e+ybdoNPjob+496EeTm4NCBSil8P+C2e+7h2efsfPHKDYzqyAcGjlpcIPq8sMyNyxbp8vbVeR5/xqJwTkxHtCUGKEHedAepWzv6WeIaoCw3yu7nJDMI0IehPN+5qZDLe7ZynOdjUvD+2FTSBf3FZ0ZQxMNRTlP87c7D05RlfUpkriyUtaWGAqM8JZV1WGfGrneAL7EpVpAI2jRQiq5QPaZin5r4Tl9gXib2CKQqrlLtqIKDJGVXhOdHMg4Lfsxw1p430xpPKP9ploksAlSqoavej2Spmz40zZ5MFj3Q5J2Coq4wpqDjyL8KR/PQGlSBiFEiwXCAUn/KV2MEmVLunozRjoLml0UIOTbcvmb962uOrPLpRyzaZDEIUCK87dWkXf0oI5M53c01O/Lz8kyZPRH8H6WasszlYp2rlkpcbtp1V2uDFiH8OFDsCq2+LM8rCn2HMO0PMnYFzXPTcp2KOGHbFGtj6vx2pBO05GlZpl2DIU+ex2CQYWT9DYBWIRpdi1kQuYkrgpRQke8kIVo7TbfWJjrj8jWLJjt6kxVw/pIb53l/bscsy0OHJE7TFCPIpTAOKB54V+aDV/HRm0L3M4qNaxZZv721x9XzNjcr1rM8S8DY8fX9jKOHLfrr2voGw9H1b7gyNoMxGQoPtD0/2gdBm5N7eIUfCQMgqnqsztkJ8/XLSzzxjF2rZ6fqeMUUqEqsTzKHNu+OUnYFebg4U6YlzQTSzLh1JhHUzEIpds/KgPNvz1dsydpRcSlawFxdGA5ByI4gsm5fqxOJD2zJujprNKUC0enh8qYs0egijokv+BqHXja5YU9i6Uw5oiJUrsSzCME3fN8/pvlHv2Hv+akn2RQlj1wpTj1nm+38SYgugHtvtbnQr/7azxN8o72Pu469giOHLVHm4c8+DkBtseTQpCbRDrLUXN+z/G0YK3UYg5GcvN83BKKkrj2Dzsvo0UFhIwwo7cD2KiiBr8Z/E0pukdP4ZcXRw/aev/LYChefPQ3AXUtz7Mra44VFbErJZV3pjRKaEnvW5qo0h0WzrJFDdQ4KX2qEnBbKbK5tAzCwNO9d+V5FrjCOQhYFEd0ZZOyKnMJtK1Ui8aE9ubc4ywgKGQEUWnwpTzR+0VOtYAqlGSYQ6QpP0RYfXa7HxBJDduV3fTQLDVlruyOe37JrW+gZets2r8z2LLOj3B2ByB4cP3aIdsci1z760IPsbtt5efbcs9Qlj9/uSr62dIQzF0Va20TsNW2jlel6lW5bGkkcso2oNtcvEQryNEkHyGsQ2hg8/wAXuYlN7PPsILsufsMX+LsB/q8/+4Ht4uEFkZOaUFEIEshUpNEjyWSE7qXL8MCChSVvXBqw2LCw0qSfEUjgzIXP9dxmF11oTUURutAlqlRYEKrQlb0eRoLojdKVJ56qOcjvHcdX+MgzNjmpxj4NeRmZk6RpbqZMSVaW5jDHl5e2oDdiJPyIsAgKnnKJua8NqSQ4S40KVyRBzAXiWwm9cTKFIZefY88jF4hukRhsZYpsWGiHKH71V6Tr2Nu/GyL74j00NnCvTFfYFrpMz2QO2qu1cRSMSPlo6VCjhJNu8j5mJElHEmBE16AzbNo2JuBeArJRn2vX7EvZ6uETXL50Uf7ujXn5B2DGQJ4qphsztKWjW94buc0tvxxSmRI9NvmOShNeXrcJ26U9z8GUR4OUWGgfxf7p49daDASfOx/GSONJ5iolFp0/9UFoGjfO2DEvTdWJBeZ+z00lPvi09SdPecwLj39WtNQWZkuEwo80nu+6PvntgdPjkX1ccg+nZxdj2OlL96tamZG8/yzLAhgFPtdEX2Vh6SixUHCmyyl3fbWF1V87c85+6fJn+MX/YCmIs3N1WrsWnHnGu8Rexx7vsXN2UfQiRf2EXQx/8md+lO09S/X4nd/9Nf7l9/8YAL/3nv/CU09YDaW7v+R+e28b26ysWDh+70IXI5wAP0j54HvtpoQLCp4av4EHpTFdBWXv/4BcyuQG5QUgVDcMpFv2BUiFPgjM3JeN4+mVgPuXjgLw/OfOMTNlE4tub0jBeOwM7Yz77MUdfNn8mwlDEtkgmquUXbe6SztdQvn9oiQ99dlpgsKXbl7jwWfts1GRx6JQyZZk431+rkxZaAJ75YyRaD957RFJULwMysuqMY4GG3keHdE2Wl2osyXdigad4iVo3Nk1w7hHozwwFTtWRUy8NsxcxyXP81yH23vvOMa1bZuoffYZ63cr83O0mtI5L8hczOv1urz/I+8HbJfHvOikFEsXKQx+VejjO5mjWKrI5/Qp63cmk2vHUDiT2d+1TuF0mw7C8jyn3W5y1/0v5ZnTdqPLeKB8CSJG44m4TVCy1zG1mPGqZatXsrs5YKagXA0TYnn7ymWT9/GrTVeomYsitGy+LlTLLAmN9IVrbTx5PjevNOxnF+eYko5fpTjifY/bxDcMAhbFD+ekE9T8bJlQNotaw5SqrLdBN0FL9lHQ3zKj3ctN7HvsCNWhUonZFD8cpYW2myKQ741yPd4cUgot11vo9mwMM6cJ5/tjf7rvzmOsbzcBeOq0vYe1mQYt0erpMaa/ef5YMFmPjOs0N5RN6PZOCyN6VkpPj+MQ+6mIQlfJc4q3TYURXRyk01h2MNRqYzB5BioDJbsKXmXcYTE39iUYEFUBSuWUL1uytMLzpy8zN21jU7+XEMkuUi739OS1ltssno9jqhV7kLlKhUXZ6Dy/1caXDcdjomE2uzzPbMMe9xV3hvzBZ+y8LgUBK7K+zZft9+dmS5Qk4OxVcqJix6k9oMN+jTbI0e7FtBp4XBW6arkSsy2dUod58R3cC30vydym8XQtIpVrkOnFxignknNNVUt4Eo8fuO8uLl61BdSobnPN+fkGf+WYXed+8wO/RyIv2KHnu6Jg7AciTwGVBat3kzyx69ZoVMD2lhT6TMBdt9ti4Lnz1l/bHY2WvEprj/PnXwBgeeUQ2zvycstBmAIT2I2u4qU8STBSoKQcEoiuTxDZjflGXfE1R6w+1Nb6FtOSx/R7I2Lxp1Se7+NX9uhIHj9fikC6VM6Xy05O5PxmG1+ozjdITj+3ssBUzfrWa++t8Huftp0H65USqzUbmyri843piEjOF0YhkWyiJ9s9UolNFZm8I60xEpsqSnFFOvfF5RKXBjZH8mVDYroM60IFTHPNshSO5qZi5m60XaO9xMazP3jnO3nNa74UgNLcDpWhfa733n0Lz521OfDTD1uJhsc+81GOP2ALeputLc5dthtZf/nt38D58zY/vONIyvmz9hi/Ixq7D37gUZBCtxrlKJF50DqxO+2AKhaSPHExASArKONO7+IATe2TeTAajHSjzxV+vcjHZdO0pnnTLTZvWj9ziYY8842trqOKR6H1xafW2yAb7ItxhBL9u8VSmVVlffDMRptI6Ii3SRG7sTTnfOlV95R492cuAFCJQ1blfWpJaNWzMyVXQN4L07Ev7XQZSjwpNkpzNR7OWuBxYc+uN/V6hS0BVkgdgWocuiL3INdE/jj3asvx1sSve4mhKTF8YDzXjfEV997ImSs2Nj1/2ebaD9x4nM3zz9trn11gfqEBwGOfe4hrV4uNrBbPPWljyIlAaInNIZ2WvaBKOKBXdCiuKBqiNbe1JQpEKsdIrhSEgdMwA43yDlb2YWIT22//O6mLE5vYxCY2sYlNbGITm9jEJjaxiU1sYhOb2HWzL4quiy8ypVBeaKuiFalSRIFTVQ6nAkbbIoAnEP0TN3uUjd3dfqbZ5jbpVqc8zTXpfDcUaOxqI8aTikeqc2oi3LrV66OlIuf5PlVBZ2Xy971Wwqz0jmmUFPeLkHgzSZmK7PGOL9rzdnVOKnD+2XLItgi9ex40pYo9K9WFJNdI4ZE01wXjgVIekAq0P3aa/IqaVCbjUNGTSqEGBgJvTQU55OW5q3xs91NXSf/X3/MW/uEPWarYiUVbzbi8vsdl6Qg0s1imLp3tkrSHJ/dvkhE6Fhpjv2kvJ4/RaUH3yzFCZ/A9g1IFpFxQFTpHCWpi/doVjFRNPS8gSw5IABNb9Tl86DijdJUnnv+0vdRhjo4LcecR5cDSUDrb9pn/tftmmRVI7kNbHe6cs+OhlOHynr3WSKiPa40SvVEhequpKvGnzoC8gFh7VgwTQMvz22gPmZ6Sqni1zMuPLACwNxwxLQLIx6Ty1NUZvoj0lmOP3S3peOV77AndsOj8k+bGITqSXOMXcGzPY0+6GS3IvGoFU5w4btEh165c5G/9kBU/TV54GjJ7vpW3WuBm/9EP8uVv+jIAnr2yxYogQi5cOcuzly38+6vf/BUA5JVZjt1+NwC/+O/fxoOPfwSABz/+QY7cdB8Aq8sfoinw75fe+QYAfvS7v8VVp5/9nv+L3/95C/kvlSrccK+F8b/3PdJpUY27B2E8294LrPqlvr4dhPab8jzMYOgqiBhPYHSgamWUb1GYccP6wQO3rtJZt9W2880+twk6UBm42JKmAIKCWJuJSUQpu5+mDpmy3RuQ5UUV06ciaAojcWerl1LW1nfXooDX3mBF2nt5Ri0sfMmet20MuXQomy15XBAuReRDX+gPdUGzDlPtKEh5oinJdXoYuv1xR1EArWCmVIhgG3oFhRpDX0RgE4lNoclJhVKx009QgnI9u9ni1JnzACwLUunSbodLEptm58oUtZtyJeYl91mx1XIY8pavsl2FHnn0cwB89KEnGXYkdqWpo5+88t5X0Nxr2vsoutKqkCyx4+D5vkNbGKPHFegDMKU8orjChz/wPrwCQjTqgzxXbyrCj0Rwu2rH8L61aZaEmvrgTpN7pFJLMuTCro1jkYj4Hpkt0xFkQmYMVYnJG60eqSw6lZJPtSqNQ+T5XNrrMSvr6Vytxpccl46ugyEzUkU+Nm9jUyvPiV1HRIWReIQybPdsDGnIWpdpQybnHWbGUagN0BcqUUGVzzEO0WrQDv2RYxgIeicR9FiEJhP0z84gcVTY0+stLly2VLAFocSd3WxzeUf8ab7sSu/KN/jyPU+BLhqJSFMZncVoQQWaNMEXdLdBuzngyBq+v/+/0EUbVJ3ZJi3XuZOnPbmyXRW1Al9o7qHBjOxc9+IYJVIG0peBO44qSkKvP7fT407ppKm8nIsiPdB361zZidynRjMlOdRWd+AozUEQMFW1cUiViq6dPYbiS9Mln9feaDs77g0TZgQtcWJh7EtGUOjTkcfedguwtOiW5BbTQrXPc0MivtQaWVoUgEHRL7qRSYzJDTRkTk2XQjpC+dsbpISSV/YlFsTKOJpce5hTk7nx/OVtzl6wSIj5ihWdfvjRlOmTdwFQjavM1SzSq9XdRgviz9cZI5nDpZG9H7RCCTIq8AOX/xljeOxxS4VcPWTnXG/QRxdq52i09Ebt9ULm5i166PLeaa63VSoV7rjnPh599FOoSKCgJsd0JVerTVlfA4LYri1ffuMahwRZ/L7tLvdKFzqGmvPSeKUksenwTJlQcqWRzpmSV5Xtff4UhgHTgoo3ceFPA1Rs/WWpXuatt1sa33pn4ORGjhSxKcspSRfyKFS0tqxPe4FiT/LwOcnLhqlGy5zdHeYObe15ipFQ7iV1YzgaMSNotcVKREPW4yvNAdtP2KYolTWLRnrgnrtcV+V2ZujLw35+q8eHnjgPwKmzPwDA9/7nB1/0DH7ylzfkvBEf/qjN2T/z8ffxwCteA8B9h+06/8vdAQgqPIgrpPIuoLwAIxmVkfXN5i37m60o97PRQw6Oqq9sbrYPrVysrV7soeR9wJfnsbLqUZcc9GI34e4lO96BpzmzbvPNuqC/1mZK6H0o9ClZ57Y6PedLcegzIzmrllhwuTlkRtvfLU5V+dKb7HjuDUbMyNpzg3Sz3k1TkEZBU6Fib1OadQQee0LnnxUU2DDTFAone6OcoKDxKeO6hPqukZhmddrOr6mSP5aeMVCW+dUN7b0/cNft7O7ZXPKRjzzKQMbnEy9cpSvzsiRo3pm5Vb7lm7/PXnvnPLl89uqFMzz1tJUjSXpNjt1gKY0bT3wCgJrKCGV8wrBCY83GNLKcnnSlzJPCv3xCkXCpTM2zu23jou8rMkHVTmxifx42QXRNbGITm9jEJjaxiU1sYhOb2MQmNrGJTewvhH3xIbqMsZV0o6AvFdQgRQkHfbSX4AkaJ5i1f798aUC7Zneb12bKXGna3fZDQUhDdvEL3Zk4DAmKSn6qnOBtJfBpC2qmb3LabfvzLYVOUjmkaorqeMxUxVaIlxfraKkQbkqlONQZvqB52mmOACHIc82U3EchiOp7nquue55HScpG7e6oKFI6fQmFplDQioxCipsYlBP2LnjiVxJNU6rgysBIVBDf/chT/MHrXw7AA8u2WrFSr/LZDauNkxvY27E/R5WAQCpCaaadUGQiSLI77wx57EERFE4y14a+Ua8xkkpxRxB1eaq4csW2skUplFTztM5Qgp4yB6Ct6nkecSliaqbK3Kag8EhQsbQSHhgQpFpFihe/tT3HEW0rYCeXp7i0YZ/r4TBkRkTho0JUNwycXssgNeOW54FHZ1iI96a0mqIhIoiImSigkhcivoaGtO1eXa6T9+y5N+U5BHnOoiAMu/2EQKpwOtNMS/WlEPoGnI5RpnGc/1Z3QFn8vlcIO5sdZhZtVfjooTX6p07ZcXjtvr4RPStcWXnJW/j9H/9BAH7nt3+Ll73+dgAevXABPZTq12fs+JYbS9zzSov+0qS8+u7XAXDX3bfRbNqxfNnLXs5nnv0sAL/4qz8NwNlLz3F61x7j137+N7llyWrJbW9t8fhjVq/CIbeMwVUf8wEvtoPTfMNYFAcDqWxHFXc63R/hxSJi3bS//PSzF7jtsNXBmSlHXBFtj1U/oC6IvlhiU61ccfp4qqtJRHesGvoMi9iUZ7Q7ErMkNt3UqDjtmtZIsyIohKVqlUBKi622IJaSlECO2+ynBIVWTK6pSpxpuoqwR0XilQFKgvTqdEdOrLsQVa2FvkNxVUPPfRagJOLohY7clVSzJ0gjBWSCvHjkqTNkQ/vzimhBLZZyhkNbKcyNIhE/D0uaJLG+dN/dr+Z33mXRfyM57td/5Zfzyz/7kDtHoTMz6o9cHCpaY9cq08ytWW24brflYlev28GY8by63pbnOe1Wk1ynKIknXujjKTvXTcdgamN9HoDPXulwr2fH5shMlUuy5qz5AQ2JTaEghgI/QMIKvSQnk9hUigISQb0005SOxKaaIGzqcUA5KQTEfY5KVftkZZasa3+/vtO0B04yFuoW0dHpDIhlDciynGrhLyLWq5RyiK4cD1+us9PtO5H6Qjy/HvoOeVPyPWLxTc+DUlygb+y/62lOS3zPwyP17f18+pmz5CKGMr9qr3GhBEMRsc80pIIUCkq+W0NzYygJCm0gGoe33xLxxMOF3o3vEERWYEXicaH35QUYCjSvcto+9pMGfZDxSfmMIUJjIXQ9TDCCECh05x7fgLtME4BDjTJXdgtfCpkVX/IE/RGFPpEgE4ap5/KmcuixJ2LLPZ3TbUtsEk3ARlimLrFpmCmmRW9mYb5MkMnzEySin+b4ot03yDSBfE9nKRXxq57kTWafL2nlEcj86fX6TneoEKNvlHyHfK5EIYGsiY1K7LR0iqY6lwc92mnRGMFjWxBxzzx+FeR6T9xotbYO10KeumxRN1ONKoGySKJjRxpcuGS1tDJtkZsAifj4HfdVeOKj9ucjh48Qyxr+7HOnnSbq1SuFhmnqMDeGCkhjg16/Q7ff5UBNa2Yac/QFZZcY7Zq85M3UaSGNRAT+d587zY1HLcJqZbrC5T17fasqYGbarkmhICHjOMDIoLeHuUPAVUKfPXl+PZ3R3bP+dKesB1NBQJTa8212QqcLeXhpCk+e24b4sZemzEiS3OsNHQg7yzSVIi+S+W2UIhHUC37g8vBOd8iOrJ1FHj9Ti51gfjn03Jp9dL6GJ+hkNbTovbkTt/IHH7RIrRtuuJOs0QDg1z74KU6fsuic+19jddl+51/9Vf7SP/0VN/x7oi/4G7/9KzSbNhd82zd8G5E0v6lOW9TfX//rHR76Pesvp58/QxaI3mSBJGXcm0epwGkCY8wYz6WHVjfzIPQDrfAyoEEL0scLMIIW14lCiYRYsdyub+VsevaeZ0ohV3cLX/KZK7RJBU1UL0fusnuj1MXhcuTTkhjRzVM6O/aZ3C259EwMDWn00O1p6uJjCws1lKC3Lq9bDSs/Hb/TDVKNJ2OYZ7lDEraEoWBQLnfD84kkdnV6I0ayThUNhepRwJY0M0uziKrQdwLfp16xPzeEjfTwpz7BU9fsPey1+/hVQXY/ew4lgewO0bL7zV/+RUqHLFprcXmGt7zuawH4sX//r0gSO5a5AlmauHjBaid+27d+Ff/xR2ze5DPkFQ/Y94OHHvwI999vtXQ3rliNLj/MyLSdM9utrtOizEzEypqNA1fPWw29iU3sIO2Lb6MLLETaeCiZRKafoqYlEkY+uSwynognV+uBW/DmZqoukPcTTd4soKv2d0v12AXFjd7Q9W0LPcWMQJC3twcO0nxh076Y3n6o7IRWPXJMaAPW1Yu7tKTrSpGMaT3u2zVdCjCS4BgPiiZ4BbCz30sLBDjzU6GjD+UK5mds4N2UDlh4MCfXuDNIqUkyHoUhohNPX5KEy/2EwxK4y1NlJ354ZqPFAzfYHZ1dEUn83Poekl8y7OcMJWDXPNshCKAyVSIZFXQla6Mso7Qq0P8z402e7Z0mYVjQmAr6iUHJolKtNuj15Z5M6ja9DmKJTZKEi5cusrw8x+62FQ03UQlTdFjMPXa19a3ZRkFLzEjlmkrlmMqUve9uZtBdeYER35tuhI5CdrXTcx2bQg9mq/b3e3uGutDQruzaRe3OQ1XCuBANNWiBHF88s0VXnKToYKWNx0icZK4c4Ans2aixKH7hT61uSl/8bW2u6hb9OAqIqgWd1PrFqN+ldckKc8/ccS8XzlraxHHvVyi96hsBuPzgBwA49OZv4ev/D9sd6MZD03hTdvNm+vBpom2bZH3jP/i3f8ITCN1P0ywy3bDJ2acf+yivvN9C8D/5yKMAqCjhB77nmwD4hX/9C6hFSeq7HXZ27LMbd1NUoItWTvs6vBxIorbPlO20pgqwrEnxpuzmnO3AaK8pajTtryoQywv04myZdkeaPmSQdV4cm2IfNwmGsY8W8fdAwaxsXrVbhhmhI26LEHwceFQrMtcBT1pcXT23Tk+EjItNzlY/dxvShxsxvb6cI1SMCtFh8bskM7Ta1rMOz1cYFrHJUyzO2DmzLt0eRwYWpYHDVi+hIr5dikNkX4G+vIhc6qYcrhWxqeIE00PV5JUn7Uvkrpz30c3dcTzvpwxlTLzQ47gIQY9M7jatbr/1AQCePLeBNyWbNf0yUShU9Mw4X4qEZhOGPom8xO7ttYmj8YvAwZot6pAbtzHyIin/0EdLsUeYqWij8WU86vUSuSTUvRzSdrHJbj87VQrQedE9uEehDxsGY3/a2TVWDBq4IvSim5dLRELD2N1rE8uz/sxjl8iEClTMao3nRL8XKhGjYbERAfK43drU7qUMZH1amSmPu3iiXFfZTaFXG6VZlI3gq80h9UI0PApI5P57EucudRKOTlt6R226Qrt4mfDavOpmK7K7JY1dPrfdpFjBBoPMrXVVTxGFhTC9YSAv79KgjJEXEltmC8lF3DGUUq7blCnissnJ5SVTK0UgoskYxf4nfSCmlBOjtmuczJcAsi07tkFBB4Mx9SQc50WdJGckVCh512J1egojsfdqpweOrugxL3N5a7PLvKx5F4UmdmIpZFrEuvNEk8u6efn8jmsOU3TRzM24oUUj9t0mJD6kRVyU2+z0U9cldHG65IqFAw2z0rn22raNTRpYm7H+caU54NCspQrVqyV2ZeN8p2f942ov5ah0V6vUy/TlZby81eF1t1raZbNrv/PYXo+edIFcWDzC3XfZAmIUwdX1c3LubLyZIDTJZJChYjtPrq1vMD9rZQsajRmazR35dEGHDZzgs8JAsQmuKkSSdxwESajf7/HZzz1KXCqji3Uh12Pfygx5S56rzJssyUgS6WI+V0FWbLqJJpMgEMomzFQcUJUccajHHT2JFfNCf93dyZmTOHVu2/rTrWuxayaVDIdUZNPn/Jl1+iL1UZK1TqNIJbdbrEToohjoK1LZtOjKnO10M0dZXZ4JGUhs6aSa247Y9f25i1bou5dqblyw/rTZyViSPLxWjdFSLd3u2nH4wKce45hQgk+98AzTshFx8sQh3vGSO+TarWj4h8+u8xNvs3T8n/3ZX+XLvuxt9ljb53nh3Gfs9fY28GRTt9W2/h3GdXY9S+cLfJ/lRStHsX7tvJvT+ze9VFDk5qCLAKc8bHfPg4pOhe8U4vc46ismwAzHm9oAeeIRyKbh6vI0e9JpszXMXTFLyYbnrSt1F5sSk5NL/lyKAhbEl7Z3cLHp3LY91u2HylYWB8hHiZMJOPvcFXqyTpX9YvPGcxvkM6WAVHzJ+OMcvCi3tnuJ60A9Px26DtT9zLAojbwubUi3x9BnWcAYG50RdfH3Wr3ESO7pvLz/PXh6gxkpPJ44PMeOrF31apeTc3aTfbdpn+ezrRbf8X/+DQC+//u+l7VV2yn2P/67n+Obv83KPHg+bG7YWVou2+tKdYnbXmY/W0s8vuNvfYcd906LUqUq35N4naSuCWtUqjh5DYxmc1MabExsYn8ONqEuTmxiE5vYxCY2sYlNbGITm9jEJjaxiU3sL4Qpc+BV6etrSoWGoAFkKKm4mwCUwE2D6QhfUEZaKF5rJ/vcvGB3m4NLkRO2PVwpIQUkVqTK50c+ayJ03B+ltIXCkeW60JRmpD0H0y9FdoddeR5H6/Z7vqfwZVzXmy0n7dgXqoUXRKRZQWPQDk2RaO2g8qLPTJYbPFXQKgOUUCKmy5ETx90WutN0OXAw936S0ZZSQuB5+AK1fnSraccMmBfkx+rqjEMJtVoDVgRhsifj9LntJl2BxHf7KWFZaJBV34k4a7SDx3pSabiwV6e7I/SBrqEe2/FZWl7j+ees4GGBxvC8yIlPjgHToLMhfmArXln3ic8YY17CdTTPj0xYWaZaq9Ht2ypKmg2cYLE3U8MXTpVfknbXhwa8Udqjd7bKdAWlcLRcIpDnvtaw96o9WBQ0TX+UsSdIgCzT5F7RuloRSRWkJM9P+T5rAqv3PRxKa6s9cFDngqaBHzAlVcPAM5RkTFOtnSj6niBdRlnuYNWe51EVgfClqTKp+EshiFkve8xIdb87yDhy76sBWJxf5thd99hzHz0uIxnRFcRXFCh++r/8lL0eP+amJSu8Wl60n50+eTdahIvvOnnbvqcNH/nMLwIwSBf4pf/64wBMRbbK+djuLpcfs/d8x/F7efCD75Exi2i1mvaaZywiLE1HDIU+aNJ91MUCXkEHY7L9p/5fNuWFxovnBMwhhw7ByPz1GnU8ocTGgm46dHTIyWmZ7FcChlLdW4kiB1NYnS7Eoz1mRcS5P8poSUOLPNeO3perwImbLoqIaa0Uc8u8Ff71FHiC/9/ca7s4tteRBh5eyFCqkX5oqMh9dJKUuvDc2iJWbUzukGuWxoicI6An6ITdln0Gc9WIhtxzs5e4NtiB5xFK1fTT+2LTrFTzTxxbdHNmd7fHqtDSm0Kv/ezWHm1dxKYRocyZG28+QrXSAOD/95N/yLOXPwnAe95tEYj/6p3/lV5LkKLdnOmaHZ+TJ0/y3POWVnTs2BEA6rUKDz1k6SVBWCLPx8icwvTg9HWPTcqPjFdaBK3QQr+tzSwwEFSEV53CKEHRBnYMqmttbjts4+Vqx6cvselQKcaXiuqaoJ+9yGeuJLEpSWnJvM9yQy7wrtT4jiJWFdRUFIUsCno5zbVDjQ2GI2Qpe1FsminWZmWouLUuR9iWtBOJV1nuaFwoRdG7wOCRS3W/WOvmahHTUoHf7SaOThb4HpH406ObTXufvuf86diReZpybXvNnlvrduV3j++06Ig/dfoJYcn+vVILMILyMBhCiauxrP/PnPVpbwjqYJSDjImlnMr3HLTL0heLYxU5mBfYz2a9i5h8eN1jE8GspY8Ugs/kEBUodB8lcdYXBMHsyQH3rNifq1f79GQerpVjPFkrVsSXSuWAQ1M23vSHKS35bJrnGEFejExQ9LyhIihBPwhYrdrvKQOBjNXVrW1K8r2BSCxk+A414XuGQBeNLjSF43VTOVemXW5hgFga73h+6Bpo7AoKZLYaMSXQtL1eQlSWe45CAvGbP3zBNi0ol0usCQpkdqHOriRqo2HCDEUDDXu9ZwZD2oIqueX2u8nUQEa9Q08QYl//jm/lqact7X79mj3Hb/3eJXp79j5Xlo+wvWkpbJVqTKdjrzlLhX7neWjRdDC5dmjsKPR4yQOvBOBj7/vZ6x+bvMh4pSX5D8lZPB988fuogioVTVikicmRhBMNOwduTWp0+3YMVkslAgEULQu6LyoHronT4PPycF1QoNTYnwrJhzgOmZf3AmWMozqv7zYRsAt9WTvCOKIhsSlUmpgCnZMTyId3eiI1kO+jyqIoC6o3DkNHSdsTCuNsOWBK2BLN3oierBc3LDcIJd6qE5bm9fo3vAlvYL/3K7/8TpaPWLRMudYguGaRXNuSu33g3GVmj90CQKo9EHT4S196P5WqRex81au+hc+3G176Fq6esQiaublFfHmH2Nq65vKh0aCgomcoyUWV8lw81jrBZAlkGxiTXP+8KZyz1EjJY1BjspFXrjspEa8ua9EaTE/Zz7xU544+e7hSQgtEfEl8qVaPODFn1/f+MKXtYpNG+oeQ4LuY7ta5OGKhkLFhHJuu7XVc3tQTvySI3PWGnnE0xgxN6ORo7O+G2ThvMEpRkbU0DAKGElfXdyxCcb4WObRye5AQSZ5fDkOqEod+71kbN1IDNbmfu0+ucbVp/arT7VORc7Ykt9vC42rTIhC9IObe++8F4MmnH0GLT2S5dgA+T3w/L53kyrNNOz4+3HH7SwH42Ec+Si6DmQwKhpFy/qOCkMC395ElfZSgmPP+09c9Nk1sYp9vE0TXxCY2sYlNbGITm9jEJjaxiU1sYhOb2MT+QtgXn0aXMhbVpHwQvrYX1zCyY60HPn7Z7qD7NbuP12xXyRfsTvjCXE51R1ARSU4k6KNDK5Znf3Z7j0iqNd3MZ1oqRZ7vsScIikxrMmnpPCforzTJSaV6Vy17bIk+zlQl4txugSwRXn+ny1RRNfCVE/9WgUIXADu5Lq3GbYujSBEIEsYo5RBiRSXCGMVWv2hbrakK197EIU0Rq75jxlZ+1rt9dkRQcbrTZ0l0KeZ9xWzNXtvGaVsFOlIt8YkrtoJowHGt/XC8049S+FIRKwR+G5Wc9gW5oQxX4dve7eCF0lpaF2gbbyx5YzLGGiceOpcKwYGYwZiE+dkZGlKFO79+wanP6v4AX/jpBUc/TSK2peK0PD2igq1qd0c5kdzDyoL1p6evbLI6JZXCTDEl2jZB4LMrVd00MeRyvwvyfIaDESNp01sOFBu9Qtw04IroOxSCbr10RCzjaVB0RIvCD8c6JroAEyiPsNA80ZpEKkj9dKwOU/i/QXGpJYiRNGf02UcAuNCY5sKerQa95F6rO1K98w2898Mfsde+cZ63vvJuAGZmjzJ71CK6mLPVyPPPnefYydv+xKfxuvv/mvv5Ix/9QwASEQpeSoZ89oJF23zo1B/gS/VvNEoo/OXI2hoAzzz/vK1AgtVSKnS6vAAwOIXY62oGozNQnkNvKOU5nQeGGf6U1ZgqNHqu7vgsxvbnEwsBeVOQgGnOSPSzDq/Z7zx1eZNlQdgN8Gl4IuAbBGyKHsdQG4qwfmLF6oFko5yBaN5VQ9gQ/ymHPhdagjIQ3aJeltCQqrPnKVriP5mn2BLETyFA7fmea2aQG8NIIK+z1ZC9oT1fSRBYWhnWu6k7V6UQ4I4C2nKfd842ALjW6bMl19vYabO2aBFKi6HndO0++YIVeT5SK/HQxZacAzIJoMP+kC999QPuyVw4b5smhLGdq7ffdpRPP3LJXoOxOngAjz/xNPNzdtw2RJ8iSRqUK3Z+DQY9TKFbgu9QqAdjCuX5FjkmmoFJmoyRKqMhqlKcX5qxdCo0peB+ohFQa9m/d4e5Qy8vLVp/OrW+xUqB2NQ+06L/EQQeOx3rF1lmMHKPS7NFbErIZD3xMDSlql0KfK6Jj7i1rpcQSbyp+IoNWeu80CuWbycwbJRyaMTcgAAZmK9HrLdsDIjFnzIz9qd0mFMRLak88GgJmurOBXmO3T7bgh5p7HU4tNQAYCH0WKhbf7r23DoAh2oxD+/3J/HpqKT2IYQMmcTNQtB8bs6jdVn07DzPNfx4UVMMB543GCNrvqfG6C4DVt3sugImnDmR6VzE/33AE3SXySiEOIt1oL1Z4kLFopzfcMMR2mevARbdK7JLrC5bX7rW3KMiTSV6uaYhaAPPV+xKw5lUG4m/sCz5RpJokMYGuc7Y7hU5VMA18cFC76s5HNEQdHTJt2gxsL5UaIgW81jvYyp4StGRKbs0HbArmjZlEXbWwJagsPqDnBXp2KN9ny2Jf686YdeV9VaXHYlNU4OIwzMWBafSmGURVH/fYxZhMa00saCZ/aDK0sIxAAajK6yu2M+ePn+ekQjaLy5Y7aTVw5e5OKzIOPhsSC748pe+nE8+YtfgtiBlDTE1iU2NRplr16xAd5olPPzwJzhY09gsoRjr0vhP6Qgk1hZrbzaMaYnvra0u0rxq88tub+TQpnffaIXuzmxuj9c6Aw1B1ni+R1N8pLdPE2x1wcamZJRDamNFnmduratEAVdE1NuXZKjTTxxCsBJ4rtlUEPvkg6KxlKAxlVVHtGYQST+WopgNWUMLDV7l+Wz2i9iU4Qvqs5crjOR0jSu2sc8Tn6zwxBmr15aNMkab9ufW+YyVhv1eedqOyS3zPdZFg63V2aM7sDn5tWtXOXz4GAD/9pf/Cd/zzT/IfvvFX/g3/KPvsQh7n4CrV61mahTGZJIjFTpv5AmmiG3lOmMtOGWR6eoAYpORvAl3OpSnXawgTTDFe0+hidjyGIb22QYnDrO8bvPRTj/DE19aXbH6izu9tkPgNUfKrXOe77NTCL3v86VjqzZ373QHGNEdzvOMdYlj9XLARVmPlKxzrW6H6XIRm5SLTUHkkwvir9Cf16LjWlhTNMUWpmL2hIVUL48blOxJbjYa5VQlN4sqMVdkHtx/yCIrn1vfpi/voNe297jtiL3/dickFIT2o6dsThMnCV/y8tcB8M//6T+jVLOffe2X3UUuybE2hoqcr2hU0umeobkrOWGquHbV5uh6iCwoOMSw8nKXg5vMkEicx/PwD7CJz8Qm9vn2xbfRZdgnAiyLUL8PlUIEc0QmIpjxsp2klZmUGZmoK7OrnBex4UDjaGCPvWAT3aOrdUYCfa1HPl05R+z7rM7apOb8bp/DKw0AR92LRl2EjcPppsGXhPzyVt/R4BaF+lOtwrYEzWZuqBWdNDCOxliTro27A00iG1oMMyry2TBWxLKRNSNB0fMUkeuWpSjL+TJt8GSB2JSFtpMbJ4w+EwUkkhCU0FwTQfTff9YuiMpTrhNUVA6c3neSQSABtN9NmJoukls77uuXjOs+NT3d4LWveS0ATz35JLvbxeZVkfCHOIChUsSxQNjDmNbeFQ7KjDGkSYbGcO6cfRkO6nN4sb2HbLROtmtffOIZocoaOCzPaW7xCBfbNmGL9Ljz3BOnbee2ubkyI1kM66FPR8Y88DxWGjY5s/4k9Mxi83LQZVR0CUpyInlxuLjbx8i516bs71aigD1JrEYjaAiHzMc4uH4si3tzZJz4ZRQoquVCFNxnIMeYlu5qSQYN2Uxq4zO/bBdDvzxNrW4Fck+LqOQtW8/yiCThX3JiHn/KCqnWppd47HPnAbjnTVZI9Tc/+km+bsludB2ZG4vRA3zXP3+HPfewwr//4Z8A4G/9nW8A4LOnLsKUCJ5fG5FLcuTHZW694y4AZubtNR7pJ1y8cAEAnbXHb9Pse/G87qYwKJQxYzH6TKOK/F+FaIHYa1N0xOpw5DabyK56dU5tWJqKn2jXSe7R56wvzc+WXUfTEEhkA8LzFCuyQXq1PWR1STY95TajfpszIuKtPY9leSl4ZrvvkvdVoStNA5vyVpikhpLEx0DBtFxPWV42d0eantxP6NlufGAbX04VP4sDBn7gYP5tPyAWH9WAEkH0DWna0dG5o3vPl0IGsolX1obL8pL5e89IbFLKvZiXarHrqHZta49nnreNFN714V/jwx/7I3u8GUtH/NzT5/DkxfzosSO84Q1vAOD97/sQvszhnnQ19T2PvHgJ8gMyR3/1XIe6AzPt2Q0KaUaRdNoEU1IkUAojVC0Vi18lKXfO27l5U7XK2aZd6/zMEMnze+KU9afFhQqJbCJMRx4dGfXQ91kTqsfFvYHzp1TGQLdadOR7nUyDNBY43xq6tW5ZiiWL0ZjaszMyTAu1NFaKSBYgJS+CA2McddcHpoRWpJRHTShkwT6aR0HL3AsMpcr+ApAdnk3xzU6WO4H++UpMTzYJwjzngtAs3v2s3fT09q11YTlwNPphol130G47pSobrmW5nyvnM+dPZujhFYLXRqNlI9cVhcy+voo6d7Q7eyq7eXBwNj62MQqVjdy5jbxFKt/mHmEp5YF5u1k4qzJahVa3HnfrffwF60s3H2m4jmHTpZCOiIvHQcAhKTKe3RlyZLUBgBbWuGnu0ZPcbGeUE0gx7PRGx43LIYlNa1XlYlMrM65oFCkIixdyKUz2M02aFJ1bDfNyjDD03fpYfCfwffpCj6w0IuZEuNmgyRJ7PZtd+2K7PUzwxCdCoL1rNwIjnfN0y86Jd0ve5HseN94o67q3jic+rJWit2c3DZMkYmnebnBtbdnYf/Fs5ja/avUGh1bttT388IOOuqhFJqJUjllctHT9RmOayxd35BnmzgcPxBT2xdaMqbdKD93mhNEppicv+1OSn6qUN5+w63Q967AnlL7AKGKZ10+fsQWMxfnyODbFPm2JuVEYsDpnz3Fhd8RakTfJPsloexfZN7D0eNngOL3RIZC17Ig0tliJAzry4d0kY7ZaUB6163qnhcaXKp9MfCTyYVly3Wo54NicFEJlaKIgIC5iUxwyL40OVmZK7OmiMVHTXtcnP+xoal/72vvZ3LC57nQJUvHPM1Ur+fAV3/W3OX/e5jT/+b++k/7Afu+9H/4AN91guwJ/3df+TR498ykADh+yOdZ/+unf5LIUCP/ZD/wg3/e93w1Au7XL/JxdK3q71vfwx13CdTZyG1tKBXh+5Obt9TUFFDS3orFBhlJFR+eUomONv2CfXRBrXnujbf5wS+RxUWhzKjPune4pycFvOzHHrsSN2XJIX/yuFoc0hN74wkaXG47aWNeRzsHJxg5Dybd2RjmevGM+c6lHLMXLYyIr0ZhSrhjTysY5eK61e88qEAu55zMU/4g8WJTYVC35TAtIo+jU6Hmek9qJ62UWJXdLtXENdArAQuZ5rtB3eKrC5Ss2f1muxVxq2jj/C39gfUN5NTa37Zr3ycc+yXPP2lypMj3LYNCUZxDgSeGp2MPavhbj+rxq5ej8qHExueiuaGRTW/4D935nNLnIL0xsYn8eNqEuTmxiE5vYxCY2sYlNbGITm9jEJjaxiU3sL4R98SG67Ob/WNgVQOeoRHbAKyWKhsr5SFrUhwmXiurRlaYTI7Ui70XFwh7q/G6POakSYYwTu2yPcrTswiudowSHurkuNAedMSvqueXIYyBVykolclXqQgS34nnkggQwQCpVg3LkO0aVu0bPEMpF+L5yQruBN64gHBdh9N3uyAm3lvyx6KYXju8zlkpspnMGgvef8hVbUv3u55ozQrsszpsDoVTc/AhiqZ4PBwlI9aRaDcnkPpRnz5v2PJRAjludNhcu2ApLpzsaV2uEwpWnLfzIIge0SRlKpS0KA5RfcWN1/c1SUi6cO4UqKH29JplUI6OZVbLMoiL6F6UqdF+J83Ix6dW2qzyGeA6SXAA9zm72mD80Lb/TeAUtJMnJRfRYkWPEn7Y2ChSJcsL25ShwFEPl+U5AdE/oFvU4cpRXT8FI/K1cCpxjB1IhikJD6ER8DQI2ozvMHIV2VtBfcalMbVogzbffTVqy1aS1l74K6iJE69fdSP7Iz7zL/tB5nhcefhiAC0nKwi13v2jEv/pt7/hjSK7C/sM//60/9ruf+Ql73G/6zn/Euz75bvlt391bFITcdtvtdkyatsq5uXUVnTXtR/ejbjz/xf99Xc3YypUKxuwjA3ok1SutULHQfoWWsbAIZ/fkOvt67EvaTS2HzLq02+PECYu2GKTGUZH6mSYVJJPROZGg8Joixu3rnGttGyv8wGcgkEwVRSjxpR1BmJYDj0SOlWqoyJzwMCQFurWo4AOxtDJXnnExK82NQ0jMCqp0uzNylcmyrxgI/NULxlXBWHw0yzQDiddV5bFdIL2ynBealq4Ry+BkgFdQRgJNfcr6bpKMOHL4MAA3Hj/BwsK32+sQym2p9C5mytaHb167kZlGw45lv8/2tp3vjRlb4d3e3nIiwr1uex9dMcQTxOq4Oft1NGPXOZ32xr/zQyJBTSQoVPRiullcSXnkqkUnT5fnx+hN5Y+pd+JP57a6LByy95ga7Wh4vUwTigPXS8qh865t2djUHeWoQkDd89xzD8IALXOrPbT/VgLjfocZ0zcyrSkW15oTtjfjdUEZUvEB38vpyBwqxM93uikdoW6UAw8JXXgBzp8crVZrJwBc0oodWcebacYpiRcFCsCudYJCjD1KgtgaJSnJUOJxHBAJYnskfq5NgBEUE1q7fEIBflDEOlnztXINQQyeK5frPBvTC6+7KVDe57EiPRsPEYq1UG8oxt3PeehKE4BSlJLI70PP/2PM7zPbHeYPWcoPWeYqqJ0kJyuE+XXmjr0uaANfZ3iCzA38AC0U3SAKnaO25HlVvTGCUhuQ1IFMaZT4UuHDYehh3KTULqaFvnJi1KvSMKbZT+kK2rQa+k4ywI98cvmekpiqFLQlV1qMQy6KoH1zOOKMIAULoWrtKXb37FxsDbZoDSyC4qYb7uDu263+8vMvPI3CHuPsOYtmGjRz12hoY+McifhYq93GK3Kh3N7DcNDk/Hk7lnFpCk/4yZXKDN3uHgdrOTBeh1AKzB9f1/NdYUjc4HOhZZFsYc8jKehdSrkluWj0cXary+yaHCs3DvTYTXOygtOsU5eHXxU/9XSOJ3mt73kYVSDWI0exLNa6ehQ6hLTWkBXJkDJ40gihaNZjtMLPxpO6L+t0lGmX169M22ez0xmSyrHmSr6jBSYaRkOLFpIeEFxpt2j17Zq2Or9MKnTE85c3eH7D+tPe1tP2GkzIPfdZ0fBv+qZvJo7lPoMSjzzycQB2Ny+wIBTYj37s9wH47V/9HXKJxz/4gz9MuyVIn5UVpuo2597ds7/Lhz0wfbnNhltXLNpTczCaD8YiA9HjZkFe4NYpReriabYnsb2meeisnU9LM0sk8szDMHBxo/DL5681uU8YOO1eylA+m+Sg5H6UyTGyVl67ZFGRnsldMwPPV27tqlVjjPhpU8Tdy54qGNbkuXZxwxhDKL5UUKXTHEpF4y0FA1k/o9y4Jj6zs3ada3ZH9ESipGK0y5uMD1OSp19rWZ8ZjFKGcl3L5ZhL2/bddKc7ZOUm2+RAeTU36h9/xDbYOX/pBX7jXb9qP7uzN0asBh5KWZ8uS7OD3bNXQFXlCKF7v1OeduwdY6yPe0EwbmaQZxS4GpMOmWBsJvbnaV98G12miGPKJcUo7TRB8k4Xb6qYUDaAbG2W8ObsC87JaoAa2u8N0tQtfpFM2PlalfedtXSsN55YHHc8LHlsCYVGGcOWJDg9oZopT5EIlXCvPWQoG11e6DsIfUETS43GSBAuBb5bTHqZJnQv7/Y77X5OkVZORSU6smCVaj5KEuhduXcV+hh5IcgMxKIlk0dlGrJgl4TqctX03ULy4bMbrDSkY5LOqUmSVRYdsd4oxUgw1loThgU01XMdFrUxBPI8/Cmb8KpoD9Oxx5quT/N//FVLQfsH//AfYZMkXIcXlEHLAms0bhOj1dw5EFmA/eb7PsZobjhh4d9nTp2mAKKnnW1UIUgiSVyzWWZv3i5Exyt9Sn07toM0oylJaV1gyouzFf7orPW9N55YICzoZqHHxp7obGjDtvhTS76faqgVdNxRTiaLSBiEjCTxD6UrUWuQuGdZCn3E9egkmqDY6JKFd7eb4cuLxXS1RD8tFieYFx9oyWKpdMaXvu4r7b1lHsuz9qWYxo3/0/H82Mdf4ObDNwNQnapTP3zDi/5+49r8//T7n29PnHkMgN/+qX/DV6zbe3/fe35bFk94+Su+hMcefwKAa5fPA1CpNfAFM97Z2xofzGhJyA/KqTwMGkUBuwdVZPHZCDOyc8rIi/LmNY+bjzUAKJU8RjJfRjojlSSqJi/eC3M1fvcZ+zL0lbeukkhiFkeBe/lSGK7t2Zf3mtzjKNOMxB+Hw4ydzCYiy7OB0yuJxddynWPke/Vy6Gh6ge+R5MUmbrGZkROYgpYbu86eHh5x2c6Pdl50cAxA/DbDEMsmb+7HzMjGebmITS3jNrU/dOYqR+bt+DSHA6aCcXctO6QpWjLMSqnCwqJNyLqtPpcvWQrRD/zwP+Sffs+/A+BzW/Z3g6TPy0+eBOCn3/kTfMXbvg6ApeVFtC5owHacBv3MbQiXyhWSYUEfSmFf4nj9zYwh/9JZzfNKDOXFyCtNkwuVU8X2772NjJlFoYXGKSWJr8M0Iy0o+eILywt13nvWJvVvvGHRaT36vs9p0fpZqIXsCV2qLWvL3iinVCTto4xcvhfFMX3RHfRl86o9TF3HxEocOKps6Cky82J/6g41nvhLpRTRkt0rX3mUxZ+2ZU6wj5aVaUPk9DpjZsWXR6lsFnTGKkIfPXeVpaKrcp7RENpk0bWtM0zQ8rBNZFxHULRyLwAaTSbrMDXRISoPnI4a7FNXgDG1a19HSe02CqHYffJ8H53lL/7ydTMjsc8bH99op9Gl0a6oV6x3w25AWpeN0oUqsRTABklGIscoia7N8nSNd79gNzHecvOq0z4ygcdeU/RsMGzJxmJLNNM0UCl010Ypo0IKIgoYiC5lsVHYz7TTsixFPqmLTQpJsZgSqlprpF2XtFIU0h4V1GOfmnTH3is2sQLP+UcUeASFeFwcMicU1bpc49nNlqOgPnhhg0g2Cvt5xrR0EqtIZ9z2IKHbKSQhfFaqtuD13POfZmfLvqSvrR3l8mVLR1uXZcqoIVoobpsbOwSSV4aholp0h2wW64um8J/hoEUYFnTfEft2+rYQLfMAAQAASURBVA7AFBDIBmDhT4AWjQwVYlL7rJXEio2zHkihpuT5xKKP1BslVpQPXOfulcUp3nvWrnVvvmmF0BEDFbs98Sdt2JQurO2iA7ExxLKLlCUZfpG/Rz592eCsSR6+0xu5GFSOA0bi05k2bnNKwgL9kXaFxzAIaEscigJNrW7zpu2im17gc23bxuhaVOWwdCkn8FgUSvdAHPZUrl2u+1uPPMFK2Z7jaqJYqNq1JZG17sKFZ5idtb572923c+rsZwC4eGGHm6WL42te/XrqIh3yI+/8e/Z+GKJknq9fu+T0QTc3N2i37GZISd4PBrqKlnW4VC7R74vEgtaosMSBblAYxhw5o4tXBIxfgbzQ67PXPtj2qUzbD+zFmrJX6AOmbjO8WnSVn5niXS/YyfU1d6wRir5uphSbUgAsKbi0ZWnIrUKXy+C61essJ5G4EJdL9KSjN7KJ1U01uRRYKnHASH4OAFW0Fy6K49m4G2gY+HSTsbZjtSrrnIuDIaFsvFeiAF8of8M4stRS4OZ5m/M8f2WHXObRL33yBeZr0uEzjvmbb7R5/K//d6vV9nVf/538/rt+G4CXvfJl5Lkdh2olcEXxUrnCa1/1egDO7gr44fGEdKuIK/l4bUM5ymKhl4hmXBDSBlPQFf3YFQvNPnbjxCZ2UDbZVp3YxCY2sYlNbGITm9jEJjaxiU1sYhOb2F8I++JDdAEF3cxtkWv3f5AmkNsKiyc7+ml3yG5gqyOBF5AI0cRTBik8MipQLKOUSERDP3xhm2PSaWq1XuLwrIX5XtjqMCNVnEToE6daPZ7csdWRWiliSTr1lVXAnIhxJlJ1Cj1YEwHCTqrdQ4gjn24hNl2yO/v+sE8iFebAH9MxBnlGLmiKq21bgagp5ZC/ldB3nY/amaYj1LeLXVudv9rvE0o1q5drarIN3+qnrvtMJtWTNM3dUGda0Y0KcV1c1dRHEUl146lnhM6Z+MTSeee+u+/m9Gkr9n7k8FHOnLHimPupFEoqLV7goaV6og6q00thxpClKbfcegs50oHKD1x3NqMzMqmcFN3Dsn7GuU2LeHhgukoug66znKigX8lz0IPUiUB/+Pw2x0XodrkeszZnfejSTo+Zaeufo759lqf2upxp22paNY5Yq9nPxspjYdr+rATSXPY9FkVUs53khEKziKOQtlBAc1+QMKGxna6AUhzQFwH6xlQZBC2jZo8BcGJ5galjFo01tXLnn3pI737Z6xEUP8RfGPHy2BULu/+Z//STnFy7FYBb7riRj33ycQC++3t/xH02l+q+zrXzyXarw5WLgtQRpECv399XXR7v5/tRRBCEJP32n/p+/tRmAGNc9x4ApUKgoDwrosLhRVwclfGpx+xzvv2mWXTVzoE8zZiOi6YAMv/TnNm69cv3n1rn+IKNR4u1mJUZ6xNXd/ucWLWd0BKh+f3Bs9foCKKhGoWsif/s9TNmREA7k6piKVQcF3HddqYRcBOVUsglaVIxPVWTzyZOgLoU+666t9UbjimLRRFvlDrSQy1QrEjXta1eRlti07bEuW4QccvNloq6s3GN6qyNlWde6NCWLj5FbMpy7ahqO1tdUvH90Ie3feXXAvDIow/zQz9iBXj/4BGLnlC54UMf/wAA97/sVbzhDW8G4BMPf4J6vQHAYGirwMPRkFKpQP6UyaSzkck15ZKgkfaxC6+XKaXww8h2eZQOm/vF982og5LGEUEkiL44oinV19KMYiSxyeS5Q5+kBcCwN3Kx6YNnNrl5ySJOVqbK3LJm0ZvPX2tSku7FBfrz2mBIc0+oXnHEkWkb0zzPZ7Eh812q0FNxQL1ABmeaYmaEoU9fnjuhfb7+aMRQ4v5spMgzofww7jx8qWn/XlOu4E81UCyKKPDeUNMSP7rStfPqUqdDSeieSmumZfx2BzmdrOguKUL7+VgoXvc1PXm+njL48ofAV5SlUv3EC3asdZKjBElihvtyE9Q+2tu+dcwU1BbP/R3psnlQ650xBopOtAAqBFnbvDLono2JgeQ85DmDvqDNBikux9I5gVTkE0EQZN2ESBBN73n+GndIDFqqxxxZsH51cavDnPhHKqicJ7fbNHeLjsIhN8zZzwZBzNKsCMtL98XYV8zKcx4ZPs+XhEJcrGFJwkDofdNRRJaNqc6FJMO1tiA/0K673mwlZFHozzujlLY42WVBKrZ05s47GGQsTVu/avZyutLtLxURZm00I+mAfNvx+/FCoUQGfbodoRt1OszUrZj8737qs/baTeiomGk2AGWvJ01GDo0nQESSUTJGwQAzs5a2trm5ifLKHJwZFDk2gSv81xuDu3QfFdhnqaQTkh4oPvTwaQDuuuP4uEFMrglUIalhD5D3R86f3n9qg5PSQXihFnFMuvBe3O46f0rEn57Z6bjY1KiUWBOEWymKWBZ/yiQPnymF1CV+9rUZo5vjkF4RJCMRP09HTuR+KvYxA7lOY6gIw+H0utAS08zN4autAYclrkbasCfHLeQKzrXalCVf+NQTj/E1X/5GAI4v3UR9UeQhrtpc89NPfo4rV6xo/KVrl/kn3/X99vdnH+X//jvfbI/xyOt51SssCufjHzxv76dcJ5F4PNuYYn1ofa8+NUW73ZZnJDHHyx0dbTRK3PNUvgdmxIFQF5USCrWj66CUdBsGlEnBawAQ+EWrXmhvCFJ4LSLX9vmbPHe08FSQxGlnSFne6d73wjp3HrKMgsVazFFpunKl2WNNYk8qyL/HNlvsFijAOOamheIaAo5I5962sDIqoc+SxI1ubgjEl6IolE7YoKTBFemQgdxnNQrIhfqaG5BlhYuCNDtcjSgJc6MWexwWSuPVfk5bcCpXJPnIAkVS0LnznGVBf3ZT+MDnLOPhfQ/aXPvXf/89rC7bRgQfeN/7OXLIslnuvvMW3vb2bwPgtptO8qu/9SsAvPO7f9FeYy8v2O4WuVW8+xiNyuT9Tfy5Vq0xEPR5GCpSYcQopdAFD3RiE/tzsAmia2ITm9jEJjaxiU1sYhOb2MQmNrGJTWxifyHsixPRJSK9yhMNI3KntUWWQG4RCapoORtrlLI75KfKKfObomGSjUVGc6lUXG122S3EbD2fq4JiqMcBniB6ZhtlulKpi4Tb7rWgIgiychC5SkikjBPNLbS6VmZKDLJCBNOIWDwMM+2UCPpSlZ6plbm2Z7fpO4OMSCovUWmMGilLubukDEW9tjnKqIpui5fDUmQ/87DoIuS5rVKD1YjyC6HAXHNR9AV60hZeKUUgVf1spAkLWS0ZQ/sZyAR1sLxqqyS3L7zSaU1k6ZCPPfgxAC5cOI9XPLuiEmM0Rg5mOfYFSmro2p0fhClPEcQRzz3zLL5U/3wvANGKUF4MiUUG5IKcqx4rU47s9V2qpJQ35FkY5ca0cICd3pAdKbOUwohLOxZRV4kCZuW5zdXLdIdFtVfEeJWiKvowtdKY0x4rTVvEVAs0zeL0DH1BaeXZWJg3S3InZdMTf6pVYi5J9bPdT13zAq+bsjRjn1/zkkXbvdDu8CVfYb+fPPdpolse+FON6fRMlVNP2grSTXfe/QU/f8/aKwF43Zc8wzveaiuTv/+h32Bl2VY0/+YP/E0AVoZ38ZmPWx/CU9TrVgvu9jtu4/QZixYcjKzvWvcZtzMuUF1Hj93ExQvnDkYGR9lTFg0W5OROh86YnFRQBl5fkAd4BKID86SvuUn0HPJcOe0iXyqUu4MRbYoGET4Xt20lr+T7zAqib7ZediBJJQLbJ5bqXNgWdGCp5MYiUppdqRyuiy+99MSc04zQuW16AVaweaEu+iKCfl1sVDm3YX2xM0jH7dVDHyNXEQnu5vjqrGvlPhoOaUsLb5UrbhVdrYuzVjMr2tvj7KnnAEgGfRYqtvJo8pzzoqNR+G0cxWjRMzQ5rInPnDhyiF/4pZ8D4Ete8Rre+nbrV8/s/gIAG49rEok9u80d+oLw29neIJJYWbSjNyan37N+NRwOcS3QCRklB9XYwGImDBF+qYER5E2e9gkE1ZjnKUp0tzzRh9I6IQ6lscVMCX/dPh+jFUWf8wL1u9kdsivPshRGnN8SfwoClgQ5c3RhGllGqUnL9LAzoCpV5nqp5J51SE5X1rqBaNgsTk0zEBRDmulC+pA8V26NLJocLM1UObduv98bjrWqPKXG+ifyTEpGk0icaw0zqlIVV5lhWTSBPrshyDvjOa05tHa6mybPubBln2vRuAWlCCsFylFTSHRhPPJCuNpAt2fPNy1NNbaeLe9DI8D+GmKBdNwfcpy+KDmuk4jy8TzvQOSeMcYu1qZA4dgGEsgab6IQJag305WxnA0pcHPPRjkLSaHTqUDWuUIDcr3dY0fQXbGnOLVu51PkN1iUQZxrVOmK/k0hCBYq5XypGpccomdKGXriS33xpamZ2GnfjFKNliHMPMbi/vLvUqPGOfH97jBzf/c8z6KBwTXtCMxYU25vlDElY+LnsCr53UMXrZ+kmcaTmJgbQyj6WcoYLu103PmsKbyK/exnHn2Ut371awBIkh2HpLl8+TKZaMlFVbm3vZRc9PCUF1JIhinlkWbjYwMEQckhBdN0xOb6Zfmzx4s97nqb1eiyepf70BnFz0aPBXgyaWgS9ynX7Xg936gyLQ0JtAYlcMlCH3K93WdP/KkU+JzbtLEp9j3KsY1Dc9MVOsMX+1M58PGkqUIlLjktvBBDtyuxSXKtQ3NVp8uVpjm5TFmd5+4ZZzK2q7N1XrhqtVZ7o9w1FVKe5xoF1WXdyPKUGdHi6g8Trsrae3w54KjE0A+csetfmium6xaVdvymo7SaTQCCSsaFYSyfsce/45Z7mF+1yLYPffgjNI31oWppim/9FqvHdfnqBTrSpEhH1h+XS6sMQ7vW9QYDZmZt3rS4uEinY4+hC30xg9M/tHFdkMImRCnlNPIOwpTyMQIhN2rM8MBo10AoF9SQ7xkCGcsnSbixyH9zEPCWa4Kx3unTlthdL5d5/qq95/jIDCVpMjM3XaElDSl8OUCkFFOCqq+XKxRDNKU0zT07nsW6MTtVY1g040lycrfWalShRVnEppk659et7w/ScY7u+55bK6akCUolsE1nAJpDzZT4cJDDjaI1+b5TtsnXMM1JhOWhtcGXxbbTavPJx2w+tbpqGRqDJOXp558C4CX3vpwjJyzK7ciRG1Gp9ZtnTj/HufMWAf/AK24B4PGPPF0ATOk1t8iK/8h7+BLHCyRev9elUrPvgt3epss/9MgD/4tz62FiX5z2ReptRqC2sugb7ZJt5fkYoWPlBTUijakt2oXlpnqdTlWg1F3lkspQFtpukjMvifKZzpDStGxC5QojwqJx5HO1ZY93XLCmFd93Aq0z5TIloRiG5I4+UhOa0GZ7xLy8mE5XQtYlofP80CW9vtAHfV8xJfDqzXbfUX46SU5JFtZCRDhQuEV3YTpkSxa8WhzQliC8IovDRq/vNsj6RpPIy20vy6hIYtoRGh3G2BcloNIIx3m5MW5TRecGXbWL8MYpGyivPf1eXn7/qwE4f/6ig3MrFaJzEbl0ncBylyQppSxdByDPGW/fHYRJBywPcqEkxbUZtFNUHNMCtCT67Wda3PTGBgA3lyOaM3b8u9uJE+c3EtRTrTksGxnneillgbn7gU9TnnspCrkqEOijJUnI9ZgCNx3HrltmpAy5rIxL0m1zozWkJIl6JQpcc4JSFLguVFW5nsFwwJwIXr6w2eaek8ftcaOIK7u2CUNUthsPWhl+95d/GYCv/o6/+2ca03q98oU/JvbIqUcBePXLvpRM6KN/6Uv/Kv/gp34YgAVl6Rhf/uWv5D/+uP0dWUKnZRPPX/7FX6DesMnb7Jz97O7W1fEbPR5eYI/bbe0xOzPL7tY+gfrrbTobdzPzfLeZboxB5/souQBas7xgx+ru+TItiStTpYCw0LCVneU0y5iVBPvMMMEvNrt9nz2JTVHk89w1Sx2+WzYur212qQvl8dDUNA0R64504jaiB+Izj19qsigdIQ0GI5t0U7UKWmJs1rdJXlzymBFfurTTcd3GkkzTqAjdMrLjHs8fceK6l08/xnbX3txU2efqnt38fdkr7EbXM3sJqZyj1ety+ZpNthKlaFSEaiIJ5s03n+TMZbsxe/T4GgtzljJ1681387KX2Q3UXnfIrszt/p71ib3uBkFqx+e+e+9hfd0miydvvplnn30WgOMnbNfGXq9LmhTPTY27QZkRxgjd+aDMGEye7RM0D5huWIpFu9cjE5HebDDufnTHsWUAFn3DqCHJ7va4McX+2LQqCfXFfkKpoEGGAbvFWhcHXNyxsfqQZAu+MU4gfCqOKcs6FCvjWoUWPrTdzaiIQHg1DGjKy0eoxx1qg7R4eTc0anYuXN3tcEho3okxjhZf0PFNnpNI0WZptsKWvABMlSI6snYuyfxY7w4oy4ZEP9Fuk7Sf51Rlre8Nx5vTRZ+K2myELhY7Pd7gyDKDmbbPoCn7Cih/3AZwP0NxH7Wr8BtPKbchoxh3RDbGbm4f2PaEMfZcZnw9RQZkmiOQ55SHst5GEC3a53mkXier2zVK72n3cuZJ3pSkmsPlYp1LXBOEMIxcbApCn0siHn5cuHeBUXjiS7PVKtUipzEZWo5dks2RnW5GVeih9ShgLy0KSMG4U1jR/MKDGVmD1ve6rErelOhxh815iYlZlhHLW+zKbJlrHdnELAe0pSB5WD57tdOnLvfZTvKxYobJqYpoeG809qUiPzp0YpEnn34SgKl61dGPM1KeP2fj37AlxTUVoFTRTdVHFd3MtIKiMFgUBZXvChfKGxcxbNOBg9uEtz6d8qKmLkbjNnhV4DpJ637h3xELt9q4cN9Umc05+3N6teeosFoGdJjmHJJ16nw/H+c/UcxOISAeB1yRteOQzG9PG2KJY7UwpuJiU+7edpaXJG9qDqjL/K/FgaPOlwLfxcpQxtnLtKPjX9ntcnjOrmVDDTU5x4LEvI0spyPFxLnpMqe2bPxcmquRS2fWIzURmG920LI2NdtNooE9bzvfoLYi3WjDBgCnz5+h+7gV6J9qVDDaXs9tq3fzWNl2uX7huSf53FM2L2pt2eN21SZZTxppeZ7bGFVqvOlbxCidJY66aIx2RWZbdDnAjdPCh/19m1tj3iRGZCj0UIoUWcb0MTu/71qcJZGGFzodr3NDiQ/dYc6KSMVcHSUOJBBHkfOlSjnissSmI8XGkza2+yswVy1Tc+96BmLJt2Uj7OpOn7q839XikN2i0YXxXMmjaJjim8xthF7d7bEqshPDHHeOFfFhzxi0NL9ZmS+zIbGpUYnYkm7U0/KKcmE4oipJ48BAa2DvLVGGCxdO2Wuo2qLhK1/+Mu6+18pDbGxd4/WvfhMA5y9c5KFPPgJAq7PJ7773j+x1nrP+3h8OyUcFfVRTvIMrz7hCSUFLnJmZplN0+1ZVMmPnQVgOSQcH+U43sYm92CbUxYlNbGITm9jEJjaxiU1sYhOb2MQmNrGJ/YWwL05El7IcIeNK654VcQVMPsIIEinfFPTMis+2RYpyarrFTSsWpnnldJMFvxAQtDvTgedhijapRjuKQbM/4O7D9ntPX21yUsRWL+/YA/dzjZaqVBT6FkNrL81VjQsKhwJ2pQKdVQ2BVDG0Mm5HvyjMJblhVFACwpCW7JBPTZXJ5f6FacEozcmkAjkY5XhS0cuM5iMXx1BZsO2NAynmTJfLNEfFzrzHdqv/ouFuHInxpIKhchj27GdDwMi11fwa21KZyqX1tU7g4w/bStPC/AKxVD+OHFnjzJmnXnQO5Y/VhZWKxkgxnR1oD9o4jjl2/Eaef+4pvvNvW9TSpz79GZ58wlZfF2aqxCX7rM9eeB6AqO5z5qp9DienoDzbAKC7N3Tt1gtUQcnzHB0xy0cY4Vu0+iOOiujvqc0WJ0X8+eqeRcNlnk/RlTiKQjw9RguUgqL6KegvZakcAGFgqEg1PcdQKWBBBXUjCOj1hVbUmGJnT2DcgXbohaqMfVStUy3bSk7rwiWmG4fssTpPQP2uPzaWL7xgK0H/5v/5AV7/Wst5/IZvu+l/MPJje+lNLwHg9//gP/BVb/0u9/sf+k4rtnrmvPXHf/KP/4Wbj3GtxrBo8eyFBEIb3mvKRN8nQI8K0MbOsST1aEyXaXoHsccv3EXy8fnH+qpAgOnZsfdqgjzwI84+Z5/5Uwsex5ctUmR9b4PjFTv2V1r2PucrEaFUj/PWsOi0zSBJOTxrP3u1NeBlN1tEz7lNW9kt1yInlF0uB45vXIoCV/UvECbT5cg15lhtVOjtm3q1Alkm8Wa7l9ARykClFOFJzPMi33aqAAJBI3T6fS5dvGaPW6+SS4XWj2L+xr/97wD8xI/+Q3tvUZnGrK08vu0tb+c1b/4GAH7gH34bP/sbvwPA4UNHAHjvb3+Uv/vD3wrAj3//T/F9P/oPAPjIgx/k5hst3L4el/nX77QNDS48ZdFuZgCxoIdWDx1ibsaO+/HjJ3jmWTv3n3/OzncDhJGdq2EYMRwI3UODMvtpqtfZjMbkfSqVKfpDWw31wxq7e5vy930xs1HM/4iPP2Kr/rNvOMrUgo0rw9YGFVlnivbpsec5tGCuE0fN2On0uUkElJ9bb3FyzaIlr+7asct83/lLGAbsJ9sVyIsCYe0rzUhapYcBhEoEaT0oyzrry7/dJGMo61cchew27byfn605NEHRaKOd5JYKCXQHqUPS5sDHLlu/L46VAYHMm6VyicSBUBRbzYFcr6CxD1fwZa4oo0gEHR6i0LLWhblPVxBJWUENzXKHlNB57qjmxXng8zTmCzH6/b8y6kD7rviepYyOm2XkmAK5rDxMInRiQZ2olmbnBXuf51a63H7YzskLnSssiUh3V1AKsecRChLc9Ma+tN3pcfOy9cHnNtruGJckIUuUcdTYMPAcCgg19qVC5iHwYCQHDgOf0CvuwzgEfSBr124vcbS0MAzYE6Tswlx9TLuUvw9yzUjobOVe4PKmHHj/WYtyLihy/TQrgG9UoxJ78r0oithq7cjVWFu8oUYoKI+lmVkCQR1du3KaXBDy/VaTfl6WWy67e/BDG1dG6Rh15/seWtmx1EoQ8exHUfmMWQ6BoxAdnFl0oDGFr3tj/zW5u5Yil8OknH7a/u7jC1e4RUTlk70eVaGpNQWFEgeBW9O1ySiAR7vdHjdIc4MXtrrc4vLwpj1F4DEQH5mJlaO8sa+RU/GuEAeGoeTDURhQFWSh8hVVmb/FpW93E3oy/6MwZGfP+tPK4hTya4f9T/KcUOLqYJQ5h3jsYpNLMl+K5jC9NGenY+Oc1rvc95rXAvCRhz7AlrFr+sb2YwBUVxVzgoI7eugIw8zmBb/z4fcwO2PXw/vueiv/5d3vsWMxsp/NzRCvWI+DkFxQ5c1ma8yyEB/yosihp0yux3/3gvH71vU2A2gt4MDiHGqMSDQ5SB7hV+2z95Rh75S9j4eXtrh/zTZ06PeuUJZ1rmi6FAS+i/+j/pBUmhxst7vcIk0OntlocduqXeeK2KTiEIPnjqHk/rWx4vPgmN+UY9/lTbGBqviuH3gIScMJ/rcGGf1iLQlCF5uWFqYoSEhl+c4ozxmKPze7Kapo1oDi1x6/KMcQuQuEVo6VMymkdt78pjdytWN/vuM22+zp5L038Uu/8tMA/Ocf+3W+43v/sh2TjSusr1u2w7/+f36SDz5p399a5yXuzszRaXdkLPVYjD4v4SvrNzMzdhwXFpZp7p0BIEsS29AAyNKEokHTxCb252ETRNfEJjaxiU1sYhOb2MQmNrGJTWxiE5vYxP5C2BcfokspPD+0SB/H4Waf/pNyaIJckEnVk0uUpQ3087tdjh8VNIXyGMoue1XqMYMkw5OSbxQo+gKbKEcVatJi/oalhkNexYKYuffQPO8/uw7YCmIhvNcfjqjKjrvIM1Eph8QicjoaZkRFKcj3SKUCpaRKVop8YkFTtQepq3hmWUbgv7jFd+75RKJhMsxyMtndbw4yYqlijQTGVS0FzEjbd9/47PVtVWFkMvK8EM+1/7aujpg+KuLZqcIvtkezcStfPROzea4Qky8qiZ6TK2m3O3z9178ZgPd94CMUzcGLJgJaj9uXm7yP8kX7xouclstBSE5kWUZzb5coLvORj3wIsG1xZ2esiOLy2hFeeP45uVaLAKlXY1exed+ZAa8/LpVY5TGSEmBdEESjLEOLCHfoK1LGP9dFL+3GlRnK4keFFs3da3N88IxFwETznquQ90cpNfmsJ77SqIaURTek30sdQkJ5yon7FlXseil0c2WgffJEkIWZR6Vi78/IXHjNl30lM1MNOVZpPGh/ApoL4MajNwJwy6334FVKf+Jn/iRr51Y/YD+aC+Cf/dzP2Ptv2+t64vFHnSh3og1oO8alUpVSLFoSiaBdVI6rseqRhRcCzd0ezT0fRBT+eptSPuZFYA61D7YxrlKO1m01du3eBni2cvu5p3ap3WXvKVQe2yNb3Z4RTYk0zRDddQJfURL/KYUBVYlN8waqEpsKJOkbbl7j90Ww1Pd8h/rsDVOn6VCgFA7NVVwZ28sNU4JIwPNIBAnmSywphz6Vsv15rzeiUPMdaUNJrifD/rty4hbe8lVWE+Kh3/8VSr7VpbjtJa8ga1oEzlPPWATV7NISf+9vW3HdRq3mhvJf/Ouf545X2vbrt952NwCnLj7P9/yd75dPlHjLG78UgP/zW7+dxrT1m2/7e3+H1WWr//Vs4yEA9LDEnXfdBlhB6I98yM59rbVrxe6q3MqgRCR3OByhTYF+DQkEPXlQihNG5/SHHYcQsloYBQJEo409c7ptHWP52Eqx/PHeT1zgK15lK7iR75NJbJmW2DtIMhKB7HnKPT7i0HOx6YZ9sSmWCvFdK/O8/8wVAI7PTDvQxGCUUi58R6rf9XJISfxwOEyJi/vAIy/WOkFp1sshNYEn74UjtGisJFlG6BC+goTyFbFo+Iwy7dDNnf6IuHgmMu/myiXmRbiXzLDTFcRyaYz0Kp5561qfxlEbu/xM4bsQkjmNLm+lweZVqUiLjtR+IJby9wcAPf5roY21H7alYNw0Q9bOAwJO5BrwDMahEM0+faexFmUujSLixhwlWRMe/OAms19hGz3Evs9A1pNpmeeDYcqw0OLyPXTRNCAMmJac5MblhtNEKosvPnBonvectjFbzSqHUh6kKRWnc2p/V4p9yhKPklHu9C49z0cXyAKJ+dPViFkRld7rjTCSx6Vp5lBfhT5RrmBONJdybUjlObX7qUMBFSi/KS9koSLaXilsdSRvUrkTPi8e987FLisnGwD0ulu0e6Kn18tco4tOWKK7VQhXW7/MdN01MCmXQmam7THuuOM2PvihD9iDi1aXPV/BZkjxQ5u32DTx4Jr4WDMYtNMQA6vrZK8pcH6sBQ1XW66janZw3v/gFqtvtWisAEWiRBdN1rreMKUn7IXQVxh5DnHg06jZ+7rB88drnfjFHUszvP+cRaQcmfLJJV70BuO1TkkyNV0OKUucGw1S4qCYC8rlS5kgRWenYublmex2ExebhkkybhYjvqCVYr7Q0u2N0J49X+IZF5sGkcwfIpbkfg6tHeHUhfMArN10B7/3frsmHT5qdVQ3z3W47/V2Dr72S97IM89ZVkSSwcYZqyu5nadsXbN+VJYGUoO24Y477gRgff0KW1sW8UuWON/RTh/XA8ldFcm+BhseCs/Nz+tqSv6H2tfMwIxZOuDyprxrUcW1owtUBMX+7KM7HP9yi8wq+z65POciB+8PU4YdQTEHyr31Rr7HTM3G+pOeTzW291aRGHX/oUXe84IVYQzmZsiE9dMbptTlHL6sYdOlwPnScJA4FKPv7m0c1mfrMQviB9vdEVpi03CUuHizK4yQuBRREX2xJNMOO93pDVmdtj62ObBxd36qRk3i6tHDxymLbm1zMGCmYZG0pZK9ilfd/aW86u6XF0fj7KlnALjt5N3UKxY198FPvpenPte0x9gUnbnFE2RZgUbO8OR9xngBOpP8L7G57amzjzvfh2CsS6t8jOh5HUznlYlN7MWmDgyOekCmvNCoYFYE6ItEef8HzL5NL0neQo/Skk3Y4sMV6lM2MNy6O+7GMy+dWtqdIWUJQpVGxPZA4K+54S33HrPHM4p+agNn0Rlo0B0yKuh/UYCXj2mKQ1noy/KiEAaKKCxe0gP34pkYgwoLWLUIwg8StBknjT2BPNdLoYO0lyXZDHxFU2ibxhgH87/cHtKRhflyzy6CC5XSmFOVe2z2bXDa6Q5I5HuJJAlRzac0J4vfwKGIqfu+6w4ZTc3wxJOy0dWVe9c+vtALlMp55ats16GPfuxhTC7ikbJxZ0yOV3R9InNiq+TpuLtmeu0zxhjLc7tO5vuRKdeW0Ma4AF6pTzMtYsOluMSrv+QeAH7lv/0uAKNei/JJ6y/xHMxM2Wdy52DGbcotla2/tdp9J8wb1QPW+4U/ad58l4WbKzz6AmnvyUtYrzVgKN0adRgQFtSdwCcsmhsIVSSOPEI5R6kUWsg5MALXCaVoWNAdpAwFH53mmo5QLxbqJeYWrZD7zbffD8DL3/GNEMqGlT/3Zx3a/6k9vfEgAIeXVvgvP2ch1IulkKVD9txf9rqv5XV/xVLSaBaUj4vs7lpY+fb6+X3dDEPmFgS6Ln48aO9C8ULnxXgCV7f0Iw3ZBsYk1zVrU15oCBso5bnOiyoIxxmOAbeyF905TYYnguG1IxUa8/Z53NYruQ2lOREm7XQGboNVxx5d4fwEueGVJ1cAWJqqkQllpN+1c6zTGtAvOgqVQkfNiQLFULrVFb7k+6AluV9oVFyHqn5uUJLc1aTrVT/JSGUzvVoK2RQamFKGBaEClqTrzuLqEWZkc99UF3np7XZTlDvewucDi3/3v/84J0/eAcCt97yOYhvpqWfOcMdt9vfPXrCw/VuPHnnRdz9z+uP2749+gr/6V77P/b58gxWWDzKbHI72DDfdYDsQXbp40XVoGg36BLGI8Yv/ZIkeU9EUjqJmm3TIC/bo/HWPTcqPTVA5xPRUjaPH7LU+9fRTUuQBTD4+vzTvUMrgz8n6Fxluuc2O/4mhsd1kgYWSfbHa3utRks2beCpiS9Y6lWq+8t6j9rhGudg0lBf13Z0u/YKyVYldtSwMPAK5nmJDI/AVoVBJKuWQXGJTgtn38lpQ+3O3yV6KfFpC748D3210FZtEnodb6zTKCQ9f7Qzpypp0Sda6W1Yb5BLb4yDk7HbT3n+v7/y7KXOlVA8oy1rnJcqtdbNxQK/oHqkiTq0LLWjdFI/CvQKaff+/7y1u/Dut9yUtxm0UKjyUp8kGlzD58PrGJhUYVM0269lfFHTC9NrF04JWovwAT7qShQtlSgv2e6+JDZHQ8Q+L4PvWTte9xJenYq6IvIGXar7u5XauZzl0EzvOA6GEbm13SGSd8yLfbW4pDMmoKDIWeRPOh6vl0FFJRxi0+HFJ8qpRqkkljlWiwDXWiUOf0Cnpy0a2N74fbWAgvnSpNWBDNu+uDqzvH27UyOTFVGeKS9I9cXcwHMdKoQaXp0Jqy7L+Dj0n3D4ThgxlHdjteZx6Uoa90CrAc139FhaWuO/eewG4trnH44/bD5u8kJfYl78rw5FjdkP/0sVLFPVGPXj6AGJTZPzSslyCFChNOm4o5AXjTa99/yoRdFclj9KKHY+3ztfcWrcoa932bpdIXozL0yWuSqdpLze846U2Fua5olP4k+Th2zs9WjKXK7WYUrHxjqEkfj8jzYFKoUdQFG3KoZsLCYqitXjhT71+Si7vE+XIp1l0v/M897yLjfXAx22gDBJNV3L2TqbpSu51RuhfRxpV1+jENwH+vB3T5RN38alHPwXApY2z9rhlqC/b77/9NX+J3shez/H5m/nLX/0tAPyL//QT/PzPvs+eTzrKHlpbpd2yedPF86fGGw6ofTv00jgg1eONeq1cB0a77oEeXcbo6x2bQqOCmfFJ7IXsk58wzs1dUxZPEcw17C99Rbxkf//mOY9IKKgLUmzd2O5Ql+c4PVvmikh3qCTnG195k1yDT0eKvp2m3dTZ2uqwJ740NV21zVZkMJJi81ZymlLk4cv1VsohRgrMiQIj61upaP41TMkYAyWa3fH7YbHOFbGpFPoU7UnMvth0tZuwJ7nbC037nFdqJao1m3ctzC8ys2aLXLW5BaYbdiPw8FGb47/0nte68b/SfpJHPvExe+16yPse+gwAX/uNf51Xvfab7LkHxaOIXIHZ88JxsxZSPP/FbmFMyn4qtS446iic7gZXrntsmtjEPt8m1MWJTWxiE5vYxCY2sYlNbGITm9jEJjaxif2FsC9IXVRKfRfwK8aYvT/rwZVSbwZ+HMsh+jljzA9/3t+PAL8ENOQz32+Mec8XPrAGZcbFCNsnu/jjuOVxUXgfZgwv2l36qZtjypHQDk4GlK/ZnfWrImwdhIa6VKA32kPaIqS7WinzyDkLsX/j7UfJO1JxW7HohvOnBuRCV0yGCeWKrUzlGMrGniOQC4oDj6q0dd/cGzpKxHQtQgliI01s1aFRilzr9J42riJejhShKqqXIi4dxEwJgmegDQIUoxaHnNu1958GAsvPE6a9SK5RM1+11Y9LOx13jsaqtHIHwlRaHevcoYvjWkC7YhES59Z9RzNKBXFQjquuklCrlVHibqsrS1y5bBEZ+xsKaFNQhtgHYeZARVUNkOYQBB5ZJkKokce//9F/DsCbv/xNfO/f/6cAjHqWYqX8mOF5qehVPMorQq9a9dFn7bWe6TYBKPswFduq93YvoS8Vvdko5JPnLYT8y+84TtaxYz6/YisyZztDcr+AAmdEQk30POUEqAsKRuQr6lU7tlt7Q4c4mZmKbXkRHNpwqhSQSYvifqpd5WmuXqKm7P2Phvbf0x/6Q9ZOvtTexw3XD9F1Ze8R3vWu3wLgsc88y9Wr5wA4sjzP3DFbqf7AU9f4yR9+JwAXn78AwNve8ZeZFgSBCmI8EVVeW13j4vnT9uD7RPsddVEZhxxEZ58HAb2OZgzoDKOCseCzcf9nUUEFr7EoMQQ+RkRTszQnCq0v9Y4YKpft7893LGpgKg4cRac5yOnIBF+plHnqqg3PdxxdZHPPxrJjaxbNc7bdQ3ogkAwTSkIl0ti26jAu3IaBYiRxY3uvT0kq23PVkFTuqS/oiFo5ZCjxca8zZEvac1dLAQp7zQ1lzzW1c5GPnLfU7td96Wvhjq+0J7nwET592T6bQydtdfVjD32YV77CUhSf/OQHuPPlX27vTdBcMEZyGeDMrqVtvOt3f5cbjluax0OfeoiPnrJUyAc/93H8yPpVumXRTLONGU6ftn6XDPbcnAnCiEwquwWKy/P3UXLwHIrqIFgcLzKj0Umf9t6QpwWdlOfZPnyQccLChSi+0YpsW650Bi5tWRpP6cYjrEq7+bOdJmDXkFkRFd8ZpPTEn2aCkIeFhv/We25gUyQAjh4XCnGrT1Y0xBilhELZ8H1F8HkC86XQsw0QgO3m0LV+r9dClCADk5F9/lNxyG7X3k87zV21WHm44xbNVGrlkIYgmYfaOLHqahRwblsaesgU3EsSpsV3c2M4JJSXpy9subVu/pC9N40hzOy58swQimyAF/gMxB8ubvropjyDfb0Iisq7cv9X/PAiSKcwmPevacG+vx9Q7VEpvKhskVvF78yLxaYdwlsV16Mc5S+YiYilgcYL1T53De0YnpHYVCopRxXcGWakgliqBR4fft7SXN92zwnSlj3ekuRNWbPLriDlTApK0A9eYCjJWBQ4s1LgUxYExWZz6HxiqhbiCyI/EfRMJfRpD4S2NkzdOuepsS8VQuSzUzHlYp00mkx8ohYHPH7JrvmJKCk0kyFTgb321GgWqjaenNtoOlTo0mGbExFCpIvGMcbR6KqNMueuCurwnDdGrgg9OgjK5ILYynLD08/Z+La1vY5DSOzzr0OHTwCwvbVOv2t9X3njJhEHxw7K5c4K9oIZ0yj1PpF88W+jE0xH0DQpYHs78cJswE179vfnO/b6yyUoC9qqOUxdY4G67/HRFywN/613nyBtS2Md8af+XofM/ohOUjxBiPmB5+Zc8fxLgUdVYtfV7b77/dxMGV9iUypow1Lo0RHl8VaWk4qP9Iepu8tU/Gl5vjbOp7MhbUEvdrOcK0JvTEUrYGc4oiE5f5JoopaNu088rXnLW74GgLOXbZOf7dYW/Z6N52fPXeaeeyxD4tnnPskdb/4pAE4/NeQld7wCgKevPQ7AU48/SiiIdrUfNbV/AVPydy93aHOjkjEA3Yv2IayusynA8150bcbN+uIzRYOQcdzMJd8IF+YdxfzsoRlu3rBjdGa3CViatLzSsdUZksixqr7iA89YauLXvvRmFw+OrjUAGDV7pJIf5cMEJb4ShJ5793KxyfeoV+3fL272nKzMXKNEEAvFvkCoBj67IhkwSsdN1bQ2BBKHCubOXC0mFr/MfY9NEa4vhx6fvWBpnJmo3Y+UYSq0/n7ixluZnbco/8N3vIy7brVSD4+/8EEA/tbf/8t85jNWaD4OAh5673m5k4z3Pmdf0//NT7+b5QWbk+1cszF8ZvYQW5s2wfD8ACWSIMoLyATl5kmDt1IcOxqj1mM6MCbH6d8cdL+MiU2MP51G1xLwaaXUZ4GfB95r/hR8R2V5g/8ReCNwWY7xLmPMM/s+9k+AXzfG/JRS6jbgPcCx//mRDZDbhE06OKH0OJf0vDHMtYBV6hQkOWm+kLF4vyR3wCteYqHeH/+UvaxOmrIlVI2KF4h2FCzMTTOSrkS9NGFZkuXuUCDktZj2+qi4d4xAXqMocEpVBVHK05pcqERBYDsgAnRHGVUJALm8dDSHidsIUyinxRPiUXJrgXS6ynMq0wLXbQ7IZAOsNUqZkY237a7d8JoJIzxJJCqxz+kN2zGoUSvRke6J1YoEeWMc+jwPlNOiyHLDkiwESXmZ17/u9QD8wbv+EIByVGZHOnVtbKxz9122c9mVK+ddVy73pmBg3IlKjbvlKHVwC6wcPgoUM41pLvfs2Oxs7/JX/upfB2D18FEunrXQ8SIoG9O1Dw7oX6iijtlnWfJiXvKymwH4xKNWd2pocq6M7HhO+aF7SV6cbTAYWN/pDkesNGxy3BUNKuox7c22nFBhBKZciUOmZNNrINQNlRq0wJ9H2bhDkRoo6kUHUfllczTufhIHHkqW6mvbPaar9llU5uyGbjpdoXzCakKMNk4RL407KA5bdpOuNL3kfrdx3mqZLR275U8c61/5/R8HIBlt8+73/B4At996F3ffbf0m7wfcfMt9AHzX9/0CD/2OTfBecp/9HVrTlUTR80rkqV1EL168wLjz1JhWNrZ8vHGKx4HtUCgFXoTNDsfaFm5+Gj2+rsK/s8z50mhbEx61zz8MYt70equr8dDDNjZ1s5wt0W6o+RFtSdzr9Sq5UKnPbexx6yH7BnFqw76kMV2mt2F9yQCmJ9onUUghlVB0jspHOSWhCl1u913cSDCIXM9YZyxJ8WTDo1YOKYteiq/sSwbAzoZN3Eu6wZe++W0AfOLpF3gAG2+u7HTQXZuYPn/KXtfy0hI/8qP/EoB/85P/zQ3v+vYms/OWohoVQw7cOCs6VNG7qZTtPKrXpvjWb/4bAPz6b7wb2kI1E0ppvVZzlPHdpG913EAo00XXWMHre8GL6PBmfyHlQJn/CqU8gsB3+iA67eAFxSZqSCiJbZ4W9IZxNyNPl91cL8UlXv1y+0L88Ufsi/OIjKuJ9Zu6P6bYrizM0Cti02jE8UW7YTqQY1fmauyuN+15c+gWG5+ViKpsRBSaZUGuQShdoyQlKxLcoaLmkl3RguyM6Q9ae06vJMYjljUgK7RzUkWpbr1goz0glTW7m6TM1e2YNPv2HiJ8p6VWK0U8ddn622Kjzm7fxvyK+G6qx3PUBJbKZh+FYiWSTY2mQg+L7QN5STGM57an2Mdycf7iKK+Ksf6Mzl+87h1gZzOT5xjYp8e1b6PLH9OtXYdeP7B8QSDZzqjPiq5Qtcor77Fz7pOfehqAgcm5JAWSRlQhlw2C1eU5+lJE7KYpRxcbADTld2qqRFu6zoXKkHTs76eqJbfxUKgpelmOHtprGCYJoXsp9KgFQmOVOd0ZpfhFB1Djuc5kIcrpxBWb//2BZvawLTBttoaMRL+xPco4Om/zvCf2WnKNvsubpmshz1+zcXV5ts6W5Fa1SqFPmLmi6yjLqdakw3cv59isncMXn9KogvpXbKyrkXv/29vbYa9ZUPRTtC66AdpxyLWi07b+/LKXv5znn7dzOwwVaXKAwcnYcVVK7dt4105zFWUYd8suEt9xJ0aT+/jiW7XI55WvsHqJn/rUEwAMyVmXNa0elt0m1drqLL2e9ZF+krA2Z2NTN5G53iiTbthz5NqgRXt2ulpiSmiTBfEuyg1mUORNKVp2Qzr9lJpXdIiTtS7X+BKbsgxGkrPHvuc6MxaxYrebsiwFS4yCHelSp3OWp20MeUy6Xc/HEZ7kB/PTJXZFP3H36nk+9+QnAGi1bREvLMeOajk7P8finC0iP5fl/LO/+7cB+Na/9m/ZvGZzs0K7Nwg8qqLHuzfq4nnF6slYFkQu3o+rmNxeb24MSnSuTD6yHdYPQijXYLsuohxl78WLq8L5kBq/snqy9unBCL9k3y1GoxEveZktiD32aRubRmRsFRtHpTJNeXZHD6/Qlo3h7nDkCiCtkeSY01VGBT0+12gBHExVYxd7RjIeQaZBPjtMMwpCf2eQMiVrjxZfGuaaOCoKN8ZRqcuB5yRKInnO7W7KYSlYPr/bxQgFvzPKODJnc51Pb9gipzfIGHWs7/+ltx1Hl+z3zp96zm10vfvdfwDAfXfdzfbGeQB63QH/7qe+F4Cv//pv5du/9qsA+KEfex/zolW8fsn64M72nntn8xjHLN8zeBX7DIy8M6c6H298vwis4HHAidPEJvYi+4I7CMaYfwLcBPwX4K8Bp5RSP6SUuuELfPWlwGljzFljTAL8N+Dtn394YEp+ngau/hmufWITm9jEJjaxiU1sYhOb2MQmNrGJTWxiE3P2p+q6aIwxSql1oMBOzwC/qZR6vzHm7/8PvrYGXNr335eBl33eZ/458D6hR1aBL/uTDqSU+g7gO+x/eaB8QaIUtSR/jORQah99qagkBSiBU6pQsd22u8n3zMVcOG0hmZFUChpRxJxQLeplxd4VWz1Kspwss7vT57dalFcEpt+35zq5MkNz01YHBpkmL7oR5pq86AIp0PY0g8W6raRU4ohyvA+OKxXJrOgiFHjEReMzcN0cO2lCWyhPR2tC5zKKVKrntyzPsaUsamJ7mLjue7FQpxKd0xXk1igL8KUS76cpgbTfKtgVvq8cFSHCx0inqQCPHYHlbiVXePSJz9ox2bYVhlLcxw9sBatSqTsRV2P8sdh8UfrW2j0jYwwqEPiIyTGC3Llett+fPC8gLpXp9geu62B/OHLQ6c1rVzFCaRyX6WOUkaqYN+Dsc/Ye3/q6Mtcu2OpqUIgqm4DFgnaocpp5Ac0GLdWyi3ttqtJtaEeQWbeuztIq/Ck3rrtXlmUgSMaiO2Y31SwK0m+hETpYvWIMl06EMpn5HsLGYboc0BWYYSnyqVWFnip0lDDLOfUbvwzATV83FvaGFyO5CvsfIbkKa7Ut5Hlmdg0llUvdb/Ke99gqbiOq896nrNjuwNvAC48B8Ju/9RsA3HfvvTz66KN2/PKUYp/eI8NINbag2qDyfegp3Jjh2fhxvfgcfyw2oVFeuI8dqfbR3vZ/sYCdKpB5bCLNtUv2nt54OOaFZyy9tyxo1MCDiosFOW3hZk1VYza27bzf7PaZ3rV+c23XVrlffcM8O1csIqGfa7QLlRlGloBUKoWeglCqjcdXphgmRWwyTmzZl3gWxAF1CU6VMKTbFyREf+S61S4IdaS12+aRD78XgLd/47fwT/6qrXn83R/4CV5231sBeN8H/8ieKZjl5O1rAHzZq2/m7dKU4B1f900OyXVx11YYj8ze6Ib0rV/+Nj7xcSuqeuXiGW47apebd/7Yz/Kdf/1vATg63LWNDUajMeLA0QcIxzSJoJirap+gcs6L1h3vC9aK/kz2In9SPngBqcEhQb2g5BAlyhiMw7uMBZ8LxJdmRH/XXuuNtTIXpFNiWWgsMSVmi5a/JqUlsckPfSrGxsJc5Y4WnfTtGN1xeNYhuvoYaqWi61tOoovYJJ2kUsVizX5/cbbiaGG5Ni42FeBGQo9KUHQg9OiI77WTEU3h0x6u2Sq2pxQ6tdd78/Ii29jYsjUYMsqKKrv9e4qmK/446OT4JfHfIQSjsQg52I6BBQUt9n1HJfGNx2WJoV5FozqCFnKphhqDDhj7iDH7kOUy5z3Pw6gC8TlGS1tqs7puxe4/Fpt8D6U1ha+oIN73ae06HRdrc56MCAQJQqZoXrLP9jVHK1w6Y1O7qOAE6ZClmqxzZDQlNhmlGKX2Mxe2WsTy+S2hz9+xNkNT0KbNYeY63w1HGZ74ZkE7z5RiUWhey7NVdNGIweAE7YvuxH6oKBX0Wq3oSoztJAlt8aVD4kvz1RCEGnzzQo1tQSJtDYYkPXlOgo5KTI4WarOnPfyC+k2KJ88xEb/1A4WRfC1UHlqaPZjQ44wN0eS08FWB/pEOgOkIt7YZHyPSF0oZlCrmjDQ7USGttkWSffqRR+gLEtOyHT6P/vW/aC+OTZ5ci3LXql5UNzeMHVlilxdipEssStGVLt23v6rO+RcsjbxoXGF0yLKIxqMz9gT1bBSkIoZ9brtFOSryJjnW2iztDTsezSx3iNbhKCMVyn4uzydDsyIMiLX5umvC5DHuwlooHhD6VAS6VfI9RzIYJhmbgkhclfzx1uU6nsS2O1dnWZHPPrm5x6U9ixaKJHfTnqEjsanX6rAjOXmmE7Y2LK3uZa+w3fHqU2WqdSshcfXCBrWSRXRlvT3+/r/8QbnPLmfPioB63eZopXCWTktkN7zIrSW2w+KLafg6H+4DbQXjz3o+KA+jXWLzv2Qvjk0+KggxefoiWr4zva/ThzsAaGlE4IUwuGz96ra7qpx5+ow9RoGkzWNWSkWcysiKuZzlZKmdI2e3WtyyUsQme6y7j8zRWrfvMruZBskHhqOETHL3XGJ7rqxEDMDhxTqZPF/fAy1+VTBhvNAjFl+KPUVbfKU9TCjmymF5p1uoxSjJU+45sszGVft+sTkY0JXv5T17vVk9ZiTIqf/6336Jb//OvwnAQ5/+GIPcvkPlcvzmXp/77pfmYO//Q97zBzb3euijH+XwK98B2DhUa9g8THm2w6cfKnJhnTTmjlCXGNpprROKDMK1qxav4gVjJJ7tezK+fz0Gnk9sYgduXzBLV0r9XaXUZ4AfBT4O3GmM+U7gfuAd/4vn/wbgF40xh4C3AP9VqT/OUzPG/Kwx5iXGmJccJI1tYv/fsP3+tL+t+sQm9me1SWya2PW0F/nTdX5Rndj/t2wSmyZ2PW3iTxO7XjbxpYlNbGJ/XvanQXTNAl9jjLmw/5fGGK2U+sr/yfeuAIf3/fch+d1++3bgzXK8h5VSJaxE5eb/+LBGkBpmHypiH7prHy/YVZQ8BbKjn7UHtK7aXe0XGh1eFVhedhYKUmo04rjspre7fRan7C79cJQRS4Vxs5twVDRBtFR5W0lKY9pWjMLEuJbBxhgS0cqqlwpkjxkLyEe+a7NulHF6XQVSINWaHTnHiWrISCoFHh6jof3sbm4rG/OzZSqhHYeFaY/+hv1sWXlsC9oidYKzip5co1aJ0+8fjFKGQ7leqc4HviISJFjmGYf4ygKfZtNWs+aTwyR7wmGv2zHd29sFY6trnZahJhoJiwuzbG6LYrIg6ZQfjat9xnuRXrhR16nE/SeY53lUqmU67TZDaRNttMaktsqcMD32p6J1dhg7fTgvHmuIPbLb4uW+raLlgtLrDDNOlCziq91LqUkzgFGSUeyxbbYTjsxJBVEQAu0kYXbW+uEgNWTyrDylHMqmFsnYoekL2mamGrv28VpBKugG4481aLbk+zfXQ+dnOtV0WqJX0bG6Sq985WuZPXFSRuoydgr//28nT9jq0Mce/hQ3rNlxeubcOR64/QEA7n/V29nJF+z1XvpVnvyc1VhodUTnbX2LqelZOz57G8QlOz6jYZ+w0JJxYnL7NQH26YXkObwIyXCdzYhGgdPg0S9q5z3eWJU5Tz4G46gIo+1cfr4VcINU+Fu5rQJnKA7XGwDstPvMCLxrMMoIBL1wrTlipSFaSlLtPrfXZW7OVtvquaEnWhLGKPpSLSzL+IWeceiIUuA5fUGttKvIlSSODbWmJZo5t5Vibl6113Z+vU1PtE9aLXs/9akSlcjez+Di4xxftDpim5dOs3CT1WC75wH770MPvps3vulL7f1sX+atX23RX6sLR/YNs2W8P376o3ierWzfeeIu/t5//2sAvOFNb+Xv/+SPAfDOf/ZO8qG0tZe5MTe3wNXLF9zRHJrFZEChgSUPRudjnUC1f63JcCJnB2HKgGfIR0MXK1AZeVbMezXWOhQkhBeGqNA+a7yYYrPso+fafOOijUNdQYGNjKIqFe1Wd4SAjEmSzDUhuLgzYq1h/a9AULXTjLWlKXeMonlFu5e6GFoV3wuUYST+FAURxdh5vnHI0yIGDbOcTRGmv3WmOtYs0oahCN12BfE6PRVRkgr70kxIb1PQFspnV9av3E07RUeuMUe78l6rO2Q4KBAyon2pFKEZI/pCQTD0lWFPPpuuq33yQ4W4nXFIKBXs08BBf57vgDb5Pj1ozwpAy9Up5R2ghKDC7C/sGPd/LzrvOFyF6L6gqcOQQPKfz65vcvu8nYsXlV0nu3nGDVLdb3VSBAT4/7L332G2bVl5H/ybc6UdK9epk9PNt9Pt27cTTQegCWpEsiVEEkbCIMsGy0LBkhWQEFawLMuWkAiyhGSJJBBRNAK66Zxu7JvTuSfWqVM57bji/P6YY861TzcgkG/xPY33eJ7uU3fXrhXmGmvOMcd433cwzgqi2B7wxsGY04uueYI92UFhmJ+14xW3Qi/oXZT1PNSWdS4KYCRx00wUU8kxAg1j13lHBnaclWwJiuvu2TYqkLW7rJGEA0FCnFlsEsg5Ti23GGza9SY2mnXRhCycbhvQEx8vTeXHqj9KPWrePdsk1hbqARTNiqaE2yOl2duycVNQdAWdXJsKmmhBbhnVQCuHTNMoF78Fdh3E9DEiCD0alygXqyg1oUt5FKaB+HbNJgVOyFSZGoVjBPZokXkOTRihRUT7t16+yp88eQGANWmUMUTRblh/2jvI6Io/ZVlFFNnxWD/IOCP+VElcvJ+VzM0JAjoLKQVNUxo8ItnFTUmIj5vmOolvoGHA6zdW8r4M85L1kSBaF9ooQXq2g8CzKNzx262IQK7x3EqbRwX9Wowrbh7aZ5W7rQuKnmi45mXhe9WMy4pe3/rI3p5FY12/vk4q62qSNFl4r0VCv+5NX8q/+MWnZIC6Hsm0t2URYe2ZOfKxNCmIm/X0orVvJOBPrAKUqvcuWlA6psoxRXYkGoJKB4TJHPlo18+RQdigzIf+mvw8JbGbQnn95CpPfXz8+Cp8y5zdf2wMhBGB4YKg3w4OU7qy16sqQyhz07XdESfmRWNZxm97OGZu3saYYVb5cxSVYSzrVEf2lUlg904AM+24hpCoes6q5N5GecmWMCnum216ndMyN6Qjew29Q7tenV5qe186v9ykt2b/LjYhNw/t3GzcK68hE3Tg6vYm/+j//McA3Pu6t/Iv/9W/AeBND1kN4Q8/+h8Zilbre774S7j7bqsH++KVS/zbn/5RAC603sk//Ic/BMD/9o9s7P/+X/z3zM4dB+DY0gKl6BmORgV90Vqdn5sDoD/oYQTmapcaiSWLqT7X1P5g7T8bpRtjvv93+d3zv8ufPgLcpZS6gE1wfRPwLZ/znevAlwH/Wil1H9AAtn73C8Ji1TVwG4zWBTpBLXznRFXDGFxSp9I0L9oX7UQrIRVaWiST0EIzYMstzFnJWCbFcTrmTNuK7c22IhJJHLRbsmHNR3Sl08p+PqaQjYeqSg/3Hcjk2ArqYPKwl/qNY1ZVPrhTQkUzKEJZmE/Ot9jqSQfGccFC4rqg2XvrHaQEIh69eWkbLQm0g7zgmHQEWZekWCfS7MtqOywKnKJmGIdoCehLCWJKoxnK5iGOA4GkQr/dZusFC+2tDq9isshfM9juG5V0D8IYVm9cBeCuu1/LxsaGfI48qxwPcw0iL5JZlYOadnYEFkUhx5aXSOKYQJ7pzOwCV69YAfpyvDtxkY4Kl6DEL8xI0z4tSaa4gREZ5kigzYuNiG0nwFoZMqEgbg36nJi1/rTQiWlI4FS1ayFsR2fcHedUsmHVxhCIX/fdRkArKudP/ZSG70ZW+eArbDlRSHwHnlMLLdZlQR1UhmWhhYxH9rPt7X1mV6y/BX2g8/sb28+1977d0sfuec17+cVfsl0Xr6z9GA8/aSmvdz74Dfzmf/otAIbpgP0DS71VMqZJq8tobBOnKMVr7rOL9uNPPOkpv82WCGcPTM29rfI6WamU/fxIRJ8VSidgCi/yr8PEUxeNKXzQX/tU6ecpVQa0hFYVhyHKSEMLY5/LXDPiQG6jN8rIhWK9MxiyIHPPQjdmpmm/lMkmq8pSAqGzHY5y8B0hC6qyFksGm9R2Q9Ob8KWqUn5uIrLfHZUVfXlPT8w12RSx1tlWTFem5r5s/gajnK19u4H81Y88zl0X7cbmNa97yI/e/IxNfn33n/qz/PW//ucB+MF/8H/SksBpe7TNUtN+59IlG9gfP7HIa868HoBHXvgQF++0DRMefu5l3vX2bwbg7Nnz3HjF1k7c7w8P+7eLgysnylvWNEFHozHUCUqlfeLSFOUE1eIIzIApC5QOPBVQBVFNXaSiEh9XLidXBWgvZW3Qsf15cb5BTzYGsXF0PDgUV+i0E3YlGbTV73Ny3r7sjTihko5cA6FstbRiQUSVL22PqKRY0WorUqGFZfI+BrqmbAz6KQ2hcael8YWaSHwXUxEmdv06Nd9iQ/zpcJCzIgLf+wf2s4ODirhrr2HzpQ0vFH2QFRyT96IvvtuJtb+ufpb5ta4z0/BFHUdX1IH23be6SUQliaxd3WK0I/fUgDx1NHwZf+qCh7ktMaom/Mx5STDRufNzEhJ6UpLh1TQl1wI11UzVWRlj6g7IE41ilOvANuhTDqWDathiLbXvckfkBjqthB3xuzwrSKXglg2G3peW2jEdoTr75hf5mK500t3eGVJpV8gzvkNn7mhAFZ7CPxxkNOQ5Z5Xx3RaDlvhSpXzC8eR8k/VD6zf9UcGybE4PJJZa2+jRlWtcf36DUDaW+1nBya493sh3kQxIJdE1yAqyCb9xCRhXxAyi0G+IG1HASBKhVw8UwzVHHwt8d1ff5KIqPW2z3Qzoj1xWpPJriXIJo6AD6nOKOv6fo0TKGFCFcHPrz7wLmUlanCR+TYaKXKI1Iuza6+t0moxlTekE9p3uhIodySYXZUkm7+xmr88JeVaL7cj7k+slqvIRTfGB7XTstwia0selI0mAqtL4WPbwcExLqI3joi4cNlyGrTRoKdScW+54CuJBUXHvgo3jrknzoOs395ldtnTUW0/d8I0QNgcpp+V4StbdmST0dNNelvqYPQzgusTLRLtyjznf8sftuvjJT/8aP/GzPw7AL37wGQ7XHGVVU5V2jnW0zSwd++KHUsEEDR9q1LB7cHUbWa2bVK45UpHVrZmPwpQiiBo+6WsmGvpYX5N3RN63uHucMrPjXZQpxhV0y4pr0iCsq6W4F8Ce3HNe1U0o1vb2fXOMxXZMS94544pX2dA3ltjJcirxFVWVft5PM0fLNT4hNRhkNOXvxqVhKPupWGJ7KlCy1zi10OLmvvOlnBXxwT3prnhr/ZCWiOTfeuo6sZxjZ5xxpzRieKp0xUrtZXLCVoMzF2wxYnYm5OZNS+fc2rdNsmZn2ywt28Jzf3jI0888ac8bzvPet30bADdevMXjj1spkfkZO5aVGRME9ry9Xo9rV16yYxIo/wwq1xhHlXVSqzJ+WWm3EgYHEsdPbWp/AHZkK6GxO7rvAX4deB7bXfFZpdQPKKW+Vr72F4DvUko9CfwU8B2/l46OU5va1KY2talNbWpTm9rUpja1qU1talOb2ufaEfIuwBjzfuD9n/PZ35z4+TngHb+vgypLKTATsHtgQmBR+SpkXd0yVLmtVqsqYv+Sze+9PD/kzRctpDUQ1MSz1w+ZawplIg5BWhwnISx2LZR6p9fnFRF8vnN5DoAyaHL1pkU35eOCVCo2nSRCip6++j4sK+YdjTEM6EuFMI4CT8EqhF6mQ40R2uHz64Y4csKkylMa+1KFUaViRcoVVahpSIXi9EyDzZ5QN6Q6eCsbMZTKdasZkQkVMwhg/pjN3udSPcmK3FcrG4S0BTW2l42ppCpfjitfjdEiQG8Zpg4VkTMWGsSNG1cJY1vFdRUjU2U1xctklEXm7/NIWhqLaR3Qbnf5P/7u9/OuL30nAA+97au5cull+UYMODF8aQOf9yiF8qpyze5lO/4vrpS86aT9+YyxvvL0tR5zItasgoAqdbSwiuUZ508DLu3YCsfdx2wlsApaXFm1lbxsnHvRy2OzHUKpBpVSOe4VFUvSulzHAX2h+TSTABxaUL4bRholUPlnbx167EeVQ29o/+umVFtObWxw9zdZCln1wifQ9/6XUBczGUPYz63g7D/5kX/A8qy9rjfd+ybe8CZ7jv/4gZ+kHVmEz41XrpKIr6dCjxv0hjX6KYh57InHAIiimqLVTIQeNyh9Rd+UysOmbaOKgqPB4BgwhYX5Gydsq6lK8WUdeGqJqaRSGmiUUDSqsmTzpr2u60sDTp2xwrMLI3us9YOC+bb9eXaxzY7QaioKFoRuvdcb8tSqRVvcd8LObWWhublxIPdvyITT1UwS2g0RZhW0Vi8vWe4KPSDQ9dwUasfCoSdzSdKKCcb2Gj760hahPK9GGDIQxMFqZt+dKocHztr7+bbv+37oW+ry+tXnOL58EYBIlqPT517Hv/63HwDgVz/4c3z1l/0xAN7/oZ+mUHZucoiuF19qcPgGe46/8pf/W9otgR22F3lJGhukvdQjdlpNOzelaUooCMaymqDUTIiKe5Z3ENVol7owaT+vJtEUr7Ipi0oxRYEORWA9iCzdFSvuXKWC2pN1SkVB7dnpAcOX7edXuyFf9Hr7/s4INfOlW0NOLtjxTENFIvPvTCfhvrOWWnzt1g6PXLFouHNSWU4J2TmwVfNqlCGAYtqNiJbQkQqZbwZFyaK8k0SavkPeBMpT4Qr3WRKipRr/1M3SozFMqejLEnCjb5/16XaDZaFdhnFEW+bYMzMJjw3su7UnotRpnjOU8QlVwEB+r3S91hXyvg7GBbEgFxIiL0bf1SXZrqxV4wkqjae1V9zO/RMaVFn5jx2qspykcKE9RdMe46jmJkCIyP7okwANRR03ORqTCSeQaTHFph37a9fhXW8+CcCCIJufuX7AgjQzqZIYlQt6MIJjcxbxsr13wPObbm6yc0GVaa5ct8jdbJgzlklmrp3UcZPEKYOiIHFI91DTFzReECji+Pa4KYoDPzc9tVp6FF9VQE9e2VTiiiaGWXe9SUBTjnV+vsGnDu0xlKAUru33GYpvdxoxqSAtO+2Q9owgaQVhNcoLotBRjQLiyCFzCzaqGsXom18IgsmUY1qNYwDsH45rRKDRfr5xdCdVpb6RggW++NmJo/MjObTvaiJomsqJ0wPKoAWdV69/ynZUAVQIxaH9eW+YEt9h16pjEk++cKPPrLAliGPw6xCsCDVtZ/+QF8Sf7l2xVM4yhJ3rdm0ZDzNKiQtOzXdoOPkSmW8GRUkrtmtdEWr2By4O1yQuDpfJLW6GBIJ0//TlHe9PZQ4H4k9jubdcGSKZb0wS0RHk4WtPzPCxq3aPMJRzXS1KDoYiHt9qMsrr5iLHj9s1/WBkfTAKA27ceA6A7/qW76bft9d2fbvk+Ydv2fOVGvfcXRxe5L2J5k+hf0ZaRRPvt73GqhjhUV5qArGsFUcCNLUnQqkQCDwKzZgSpV1jgqI+tcxR+XCrvvYyo+rbn7evhTS+yCKOZmM7li+uDZhx63QUUqZuL5gRSZODa5t9z1q5Z8XG4I24yda+9aXR4ZhMYsiFbou4JXO5n5tK3+QlCzWpNCmLQmjIfJILujNJAsZje22PXt/z022Zw6Gsc2OZm7oBJK7BUhzTFV+6c7HFLz6zKrcvaLWZJvvSGIHeNjqwc8xhv+Ld77TyIJt9i4J76aXniEIbd66tbnP8lP15Y+0auzvWN9/55i/mxIk5AD7x8Udk+GNPpR2NcnluwETzibHscXRY3LbYuGlsnJbg6P01gHBqUzsym6oATm1qU5va1KY2talNbWpTm9rUpja1qU3tD4UdKaLrqMyITpfx4p9VraFiKp9E1pJJN+MRroJqgGLPfuP5hw2XTtjs/qnIVnbOLrcpbAGFVgg7UpWKc0NfKjqtOGZ7VwTgW/JZkjCSqv+oqsgFYRbkiq5oBlSijaMGY0qpEOZFSaQdQqeiUo6jL/oFjZBMjjWuKvakinOs2fDnOJCMfiM0BHLcdJSTieiwRnHnss3Yr162Ve5xWdIWvYCKisC34jY++6nlpyBQxF4wuCBu2erb5etj0LZqpPSEiK5k+U0x8q3BbaXRXtvezvoEeksq3waf5VcmlxbtYPIUr792BDYaj3n2+Rf4+j/x37K3bXXDgkarRgCRgqBIXIlZBYFHeARRExXacV69ssfVZdFxkGramfkGZS4ImsBQifBwnMNQKkutKGBrz1ZilsVX2s2EsZxjXBpy0VDKy8LrOASibRMPRh7RmI4qItfIIK+8dkUsPtZKQgZS9d4fF15k90SnyUgqTpFUzb/kz/0vfpz0vb8/4CXsyL+L/pNf+03bwviJJz7sNfGKIiJesRpLn3i0x+GVnwXAZDnpaMCkHT95nELQSBWKvU1b0VpcWCAShOCN67btfat7jOGhyP3puK4U5l75/fd5P78XUygCjKqs/g2uMim/VaXXWHF6F6YsMSNbZQu6cxjRQXr+pZKLF6wPnQqsb5xb6jASdNdsHDFqSoWwVF7DaWW+w6agTfdmRDOr3UQJIrPXS2ukklY0BG0TSPU8GmaUpdO7gEDmgKKoiARJGIh/NUNNIXpPg6L0Ivd3L8/SkYqnHlof/RPf/k20XRVPFVxbs+9aJe8JwEc/9OsAvOtLvtJ/5tBcAEWW8aY3vwWwKB2AB193D6UgSe95zet48plLdkyKBX74n/0YAGdP3sOFpq347+7YCu358+fY37U+mo4GGBxStq6I/3aICNsmexL9dYS1ImMwZUkUaLLc6RXlNRrQ6Fr43CEdTeUbMRgFOhT9o+cynrto/eKLIouwOTHb8GLrs43Yz01Jadjv2XcvCgP2Rd/o5KxdQ8JQs+70s0Z1S/io1CQN+7y102I6TH2rdSpDqGp/ctccij9149CjjPfGuUebnug0GQnSo5Iq/0FZouS76bhk7dCVhhV3LslcsG/XulFvyIw0lRkNc3Tg3s1a79CteqEydFr2HGmVM04seuTZ5zJMLmiioprQVXIPS3t0l44SQUaADgJQNrYo5TOlFcY4zZmilqlUysY0RwbEMRg5j7VaB8eYyosw1+vtBErNXiEAB9fg0Qv23fnqBauZd3GlS2aXMxqxYVOeXsPAQOKmJIrZkoY1x7v2s3YjoVc4pHvhBd1HuaYrQthxR3SNDgyloNiLypDImlaUtf6Slnm1G2sG8s4cpAVulI+3m14r60A0ZTqlQcvP43FBrsYyJnDPivX5K/siuj/OmJtPZHQqEokxUZV/boFDaGlFwzWBKUr2h9YHX3imQBmnk6i9lqTx721AX3R97DFlYKscJWixqrDzmFJNlHbNDyaQhKYAc5RwCYMxhX0P5CVQOsDDy1RA5TrrKIeszlCilUegqGQtXnseLt9h55u7JfY4u9wll+82AigF+hGXhoGgYZIoYUc0+/bFn5pJwlDWr3FZUcg1pEVMU+LSWDTh1G6P3GniFtrH4UVR+fDAxeEzcUhP4qbDrPBi8ic7Ta/BNJDnflAZQrm38WjEtf0a9fvaE/bcv/ScRaKVvYpZacZQmdIzNrLCtxkhkJjn7KkzJDLff+Izn+aXf/PTAPzW+59HFTL36JilFSsW3unYef6VF57xDT9Qlfc9U+Xo0DVhcQwK/PM0lbYC9CAaX7Xe8KtrBkNJmHSo92nGx2hVPqLMenJNsp8IEoLYvptmPMBhNsabYz59w97fl1tgFqdmE4pS0OZRRWWcL8FQ5qY41GwLevO46E+WWjMQX3JzFMB+f8jCnH2OyYz9brbTI5P1iKKkIX5T5BWlTAyOiTGThBw6XxoXvkHY8W6TgfjSoYzz5ijHeO3cIdcP6tjj9YK2en5g/fo7/vR3ceX6iwD80q/8IhvSjKAyI0Lxmz/6NV8PwGx3hpas0S9feoEnLq8B8MTj+7zxLru/+9iHP8YP/9N/Zu9P9iozc13/Xnc6LYYDYQqUlYgoYhtRAFU+xvgUg6p7+xwhQ2dqU/vt7Asy0UVVYYyaWOAnhKeVmQjNJkRgPfWkFoqtxoZ//zEr0vcn33kfAINhwViCKa0UXREkzsqMrb4NnO88vkDlqIeuK5lWrJywmyl1Y59UJlNlKkIJ+lLZFKYYAh8cQOpE/MAHJ52miBlmJQ3XfSoJPdS2LCvfSXFNumfc6PV5w3F7DSdmGnQkwLi61yeTzca80A6v7fVoS/AfBMp3rcHgJ+wwkaCpst1u3JgW0mlxtAbVqH4EfnPvAjejqIVvNbUgeFVDon37KuM3+UZFHraswhBT3N6V6NW0Ms/YWV8jCAPfecmeVyhmZUPobtRM2DInELqZMjFUdrHLxwW/fMmO07fdJYK148p3tltoaLqSLMuKjI1D6093rCzQaNrn4jZhlYaTp22SaO3qDqmqF85O7JoE2OsZVobE92JQnnKaA0oCz64kHkZZSew2xUnoBfjzrGBbKGl3vNlSOB/9yId56N1fZ6/3lceIz99rTxK0/7Pj+onHPwrAOx78Bv+Zxt5jt3OM1TWbkNIq9PSX3Wt73HHKNmo92O8xEki/u8b1Wxu85e1fDMATTzyOEirQzt4BWvXk2uy9DXtb9XObpJhpLZ8fzW7SaIUyGi8w7RpnAFVR1IKubj+gsHxh7EYn6Dqqb8pHHrsGwB97g6WRbV3qkRaSHOhGNCU5M8rGbPasL907s8iiUDvcpq/ZSVg5bTek6uquT5qaqiRyjTeEYjwuK7S8bjowvmsVWqEK16FK6G55WQuQRoquCLBuH4zYEl868bovsn9/7B5efOYz9hq/5vWcO2UpqmvPftKP3bu+5Mt+17H92q/8dp6+ainF99xp5+trt3ZZX31WxjSmKcHW1voWhVDbtre3GIvQ+rBvA7Pr1677RAsqQMt8c++993B4YDe1N9dW5bgTwb0xfp7TWvkAcpxyNFaW5GUKIvpvkxS1GL5xYsGOChfNeF8P4jZItzli+MgnbHLi+JdaakfWGzMWSv/xdsSsCOEWZGwPZK1bWeBQPm+LkHwYR5y7YKlVV17a9MmJbJyhE0kSSaCfVhWhBO1BWJHJxiEtKwK55lnpxjvOChKXeIpD30k0TSs2+3ahuTmw/17ay3n9Cft8j88maGXn4Bt7fb+eLkoDlsu7h8SJJLLiwNNNyonuWVHiCi+QZi75A02k696+gswlxSb8QU384AP8OkEfhAmFdKZy/mYMtYi9DlAuIaG0/I+jMSPX6zsITs6BEwlbtz5Ewe3TpCRCTVDx8KP2ms++y45PPMDHTYuxoiNxSpHnbMj7dMfxBZQUjbSco1SKM+esLwVXdhllQvnKC9+C2DX2yTCEcu0hhlHhGh+UhJIAmnVzU1HhH2kU+E1mmpXsSLy0IXS41f6QN8n8eHKuaWMVbIyUSsJiSd6B/Z36RQ9jhUkl8VYYMnmmScMVXfH+ZQx0PCMsYaIq6Du31j0LKiqhsNlceuSP4ZKmSuiCUdz0QvxKV3URQ6m6qHIkplAqFp93dPzcvwOmKieaebgFpcQn4tIU7RIVpeIXP30VgD8rcXjv1jpjeQ/nYkVLxiAvMjb2a3/SgRsPR4nUnDlr/Uld2WEkTajyrABHARNaYqogkrkr1IbCJc7LyvXd9U03xnlJ4tQP4pCuHGM0ytgWGuKqJE0uHxzyVrmGU/NNOiLdcGWnRyoZsmWJ7y/tHzDnuo42QnJJgISVZiASFGFsT3zjxnVKoUQ+9KYv4y7x2Q8HSxw/bn9O4oTdPTv/bG5ckjGJfCxkSmkiACgV+qSFS9wrpTGuuUEJOnGxnjlCf1JoR4Fze4SqwK1pOm548XYvjm+M96+gsVBLRYRNXn7Kzkn3fYXdC8W9g7ppRAgtARwUZcaGFEPOr8wTSCMEzxRWsHTcJn0oFGle+7byMZSsfQoi+SyIAt/RPq2Mj7dbEtuNs9Kvc1UjpCX3Nhpl7EgBaTNzjSv6vFnm0rOLLV8gubxzyIYI1ruEcGZitJsrqoqGFH/PnDhP0p4D4Gu+xvaDO3fHa/jgb/0qAIPxE4SF7bReDBQ7u3ZMrl9+mdxRcF3H7WSeQgoI67c2mdgUoRy4Q+jA6KIumpouRijMKGN5mlOb2h+QTamLU5va1KY2talNbWpTm9rUpja1qU1talP7Q2HqC63JodKhUeEsmKDO/ptK2tECGFTgaBzyr9KUuVAJmrFP7wVzOcmMraacOG7//a9PniOUjP+TqxvMC+WnLAuQzPpdp475Sl+3WaOi5gVp00orrkv7YVMZNB5uY//BtsQGaAFdQVllZcXO4cAfD0BFmliQErf6GcORzYrvjjJPSzsp1aHFRggCfe7Gkael3eiP+OhlSxXaF6HA46ebXoA6mICfF6UhkNbghWTjLc3E3kJnbo6XrZ4mw1uGYkOqPyag2bD3MT9vKyk3V6/XUGPF51QbPX/K/nmZelSe0kHd4teYGplTrj9mjLFQkFfJlAoMtEiaLVJp82wrSeJbOoDKVSLk10FC0HR0xgoVC5Vwtkdz3v7dvafs7784PkdD2lI/eXOLeRFgLqvSo8buOLnMWPxpRp51ECjmQnvfzdSwJVXDJNAeDWi0ExXVHt3VrKq6qp2XbO7f7k9BEtjOCsDGsOBQWqznUeyRZ+97j6WOLXZbIG2pv+TLv55sbCupaZDQPXv/72l8/+W//lt853f8DQC+/k9bpNjG1jonTl0AYGHpIv/upz9or62viITqmOc5o751NCN+qHRAklgfy7MhSmhZjVh5xE7hlD3zvqUN4YS65XNHca62MSZ/VbETSicmaBzHVBmu0lVVZU2rVjUayAn4Ymoot9IGLcLNQTyivWg/v/eiReC8OzlOJCi259e3aRpXLSv93HTx5DKVzHtnjtljhaGmIzCt1qjk1oEdq7wo/ftZeAqxmWjVXtISKkleGnoD+364dumddoQRFOTWuGBn3x5XtzucOX8HAN/3gz/ux+df//VvAuDtX/xHGfX3Abj7wTfTuvjW33FMH3n8N+gKxP7cxbtY27V/97GHnwHgTQ/cw+VVK5Z+6YUXWBvZ6/mFf/uzVH177WurN/w7XEnV0aLrBEmhg4lmJqCkUhzKWL/2tffzzDMWNVaW1QRiFT+pVemVV39u0pHRyRLG1EgNreqmJsoo8TUmSlahr84TACJIG3QNccf6wInz9v6+8dh5P2c/cX2DBYHANGPFQJAH508s4di+bUExp1nGsUSQopViR+YmbRRKLtQRGpUxns3U0ZqWrFVZWbF/6OiRQpttBBhZvzbHJT2pbu+OU++TbXm/l9oJOnS0y8TTP1Z7Az50yVan3Vp37uI8o+HID5Mby7KqPFoiF3RQWda0pWZ3hmdetOfLdguUny4cNKo2U2mC2L5vZbZXo6KUEmQzKF/91lSypilMLbosxyrH1zDl+NWdm4LYBI1jE2cRCm7lYhON0rfTqi1MW+YuQo+aCOdjgtj60qm77fG+/fjdXmz98evrLMi4lkWOFpHmi2dWyMvb1zllDIsSNzXTiutC4TdVReXiDzenU78Hba1pt+q56VCotg65pRPlfWlrVHha9c4o88/jtKyTx1qxR3PPtWIfN109GPJrL1pKz66sjWdOtUjl5ygIqConQVERN8RXHBJtIm7K84hnX5D4ImtCnrgnU9Of/X2GHgWllKnfZyaosgKlNwQexQHa+1JV5bjmOeXgxSOZm4Jk0fGj/cVVuaPnBijxhyrr1xfvYuAwQolMA2pM0LD3e9dr5wD4xpPnCOW+Pru6zpycoipLdGw/v3Bmxceos+3an+YExdrMDZsyh8RaWXoVNTFXKe3RmW2g03ZxeMnhwe1rXdIOqcSf1gYFA5nzNgcpA0Ht3bNg45HjnQahxFjz7YRU3rHLewN+QQTEdwXxc8f5OTJB78Wh9vSuNMs9yrTAxeElSmLzmfk7+PDD1wHo3zBUsi9QJiCQuKjI3R4kn4g7wnpuCkJPY2637d8M+oMasWqqCRpjAabEFLcwJn1V5yYdtkwyexcT0ZE9p2v4wefj7xU1FVxHjQlNfY3BjkX3mH1ef/reDrFI0zx9c4v5pKb5a0HmnTm5RC7vskOsK1NyUpr1zJuAq7Kny7PSSgQAhaMrBzVtuAO0J3ypJ02DHA02SAKIa1/q+3Uu87HbRUEStkLtj7XUSTxl9pW9PludswC84W0WCR/oPovLFkn4/LNP8dmnbMOeL/3Sr+LFlx4GoNFaBuDy1ac4f4dlaLx87YAPfNwi5UfbGcNt6/tx0iRLXSME+87dfc8dPPusjYVazS6DvjSlqUq0cQhEYbjkOYHEpUmjxWBfWBdUE1SgW6/63DS1qX2ufeFRF83EBqOa7GYmCRNV05JcwGq7ATrNpxItGhzlQDN3zn73wrKd6Ff7uxxrzgGQm4pbI+m6EkBDApm9wx7NxH5/JMmihy4c4+U1GxSVGXRkoVvfHfjNVVeC/KgREwpEudWJUQKrDaiYlc2EC7YaccxQAva9UeETbAWaeVl4h3L8kw3NjJy3AHZEz6usDPccsxDc54Y2WVEaQyIBVFqWtzU2dAGm+zeIFIHQNhYbEU9clk5qI+M5+zPdGdLCHm911dLSlAoIGpYoX2U9lGuxoeqly8HyFSWV10uhpn5RTfx8VGasHpRPgvj/gyqj2ZkDoJTNSVZVdSchFdSUzcEci/fYRekuu+fhsN+nUvY/0rJkrS/6AKGhKUHL3kGfRmIXBwdXf/OFY7yybjvpFBmEsvnoDTKv5eGTYs0QLf7U6DQ8Rz6gZE66tJSOKqs0PfHp7UFFKnDrUyeO8Y6Ld9nviDbK9UvPsrBgF84f/0d/hfve8RUAvO3Law2l38l+7YP/BoAXLl3jF37tZwD4srf9UQA+8tivsS339uXv+BJ+srLj0211PT1gb39Mq2OTXseO2cX56uUXaHXtd4f9jPHQLpz9VNm2fvYG7b9V5d87dOypXxS9ic3bq2ympMx7NoCUj6xv1Bvd2/SdELqH+24Q1dotoeHuC3MAvHbO+sT27h6zDfuZ0bDrdIvKgkS6EY3TMYtz9js94dM9eG6ZVRlvk0FLgqybh0PfIcfNTUkrphAofKvToBItrABDHDltLkkEEfq/3xsZr2Px0P2v48IJS0F9/qO/AMB9d97Fu9/+bgCOnT3Hsy/u23Ocued3HdI3P/gVgGTWmSfvXQXgO77BQvD/9v/196G08+7Zs6/lmZcsPW/15Zt8xZe+147f/a/hqaeelmG1AVZ3psuVazftOB264wNaY+Q+MqFJPP7YoxORtvI+FkURiWic9Y6Eumgs3F8rT+OqJnzXmBIVCf3HrYX2JuQLtWaOyRISoarfvWITpxtpj1Ox61yoWR/YZx0OSxKhOh/0BjSbdq1Lpdvcmy+s8MoNO3aDXHlf7g9zxpIEaEuCtNNNaq2ddkzo59WKbsNRtmQDoEIGY/v3m73Ub2LTUjEXOt0sSYokmlmhe+fG0JNERmngfqHvvywbyDCsWJyx3905GFEV9bapEEp+6RKdoSJyHZN1Sb4v72mGT4bqMJrwB/c+G4rU+p7VKnKb6lprpqbuG7/u6UDVyYsyq5Mer7YZoZ+YWpcLBSrwmZO6EOV0eAJdJ+TJQGjTZb9g5QFZN2bt+n5jdMApZX/OTcmtgWhRBoZGLLozhz1m5PuuqPLW8ytcu2nf3yItaUnC6eZ2j7HEVq4L4txsk+w2X6qvveO1slzxJ2Qg59jqZ75rcVYqliTGchqYnXbsu2BnxrAt70FRGl4v3SGf7O3LZxVN1w04L+s8IVC6ZGnh4iYIRTtpvhvztEsI67prJ2oidvWJ0MyvZ0YZnMaVvT2hPHn9qzpxE4QNnPSFVrruxngkpkBFoAymHPuPtBTvLB3fxefyJ6aqp6aqRCmJ/cKIRsd+9/ysnWsOi5S2HKowFZuiTRnpilgS3AcHPWZn7Vzm/OlNZ5a57vwpNz5n2x+kfq1yXfDmF9rk0mmv1W0QujjTlHQSp3kl/1YBI9FP2ujlXnt2Z5ByUhIjQ1cQaEccc8XGCq9nmBXw4GkbyzzZt7FLmqXE8tzLovRJWK20lxNxc1MQQihz04N3neGX/4NNOKi8SRBKF9P8kKKQgpOjjirjNbqMgbopfYUROZXxSGRDjKkTYVp5ap4pMlSU1PHVq2x1ksv8rv8/+X2X4C3GfaLWrPxCE7btfZ84Ze/5etrnrCSZKlWxJV28Y21oSQzeOxzQnbGxZV8kYR48s8TaumiJqoC2rJWrhyNPF3bdORcXO2TiS81ug0Dez7Aqact8UdNDAwZj50uZ96WsNByXddfpzC3NxDTE35MoZFNkY/ISBjdeAuCt3/vnAXj58ovcvHoFgKeeepQb12zB5/KlS9xz99sACCJXBAvZXb9sr70ZsHvLJk3b0aLvvvvGN76Bq1fsOr+5aX//0osvcuHcnYDVwX3myU8BcNedd7IvFPX+wO4PS6N9ceTs2Qu8cPBZ+4hMNQFSYWpTO3KbUhenNrWpTW1qU5va1KY2talNbWpTm9rUpvaHwr7wEF1gEfUKWzIDqZ461ESISW3W2wkY2uyxb31WV01CxYEU88cLNos/35pjadZWY5bGLV81XD8YMNux5+sPc5JYBL8l+31t55C+ZObDTJM68cNIEZcuky90j2bMvkBCR6OC0tQ0yIZDckkVYFyBgCo41mmzPxJEQqCYkeGIXAc3FRFJhWZnlHFaqtirt4bckix71hOx+0bkK+Za11X5sjIUUvGulIMtG0+13FGG9oqgGC6lhEKJ6+3v0BUkyciM5VloKqloBoHxwoSoRt1V0ZezA5ign2oRbUcnGC2CiKl00XvVzaGA6gqxq0ZCTWvygvyKuotNUPm3SLcMm1dtpW7cspXJE62YBXkOx9OWF9O9uT9kcVb86TD1tI9KRDmv7w0YOC313PhK9zgqSVzRVGD1s+0G+yKAnKUZmVxbZTQzDqkjldZxWZEJ8vx4B7Z60oFxb5tIWyHY82csJPrUQ29hvGvH/MbJO7jy9GcBeNs3fNfnjeBP//JP8k1fa1E2++N1dvalC+Cpezl/4W57vVIRe03/zWx0bIXo8cuHPPROW22aG7V47HFbpSxMj9febytH5y7Yf7d39tjdtn93W7naldWh5nZEHVy5KIxiitTSJ6JmlzwzUB583j28OmYwVekrWRgcmNQCO3xB1HXLCz18XsWRRxOZPGd1zfrS3dJdcz4KOXfCVi4P8xQjCNObB4Z550ujlEYiUHn5/aWNfQ7GdoxWcsVIkDlBqGm57m+C3Gg3Yg6ymtro3vtAa2YTew43NxmtKAWBttQOuLVjr/fxxx5nrWuFcG9dvwbA1ec+yx/5M99j77kYw2O2WcFzn32S+9/87t/z2N577wMAPPnyhwF45tmP8MKzTwLwt//e+3jjm04B8FM/FvL8C/Ya8jxlY936cSldpMzqOrMzFg3V7bTpCfVJ68hTAx3aTgWRL4ObqkThhLYrivwoO5spFBqNopDuWFRMNMcwGOlG5elDQVR3Hdahp6GVxYihLU6zuWzfhdcsdVics8ddyZogovBXtw7p+rUu83OTkfX0lc1DDgRtMJMZv34RGDoOIRbKWtdK/Fo3Tgv6ExTRGfmum5tyFGMZ25OzMWsiFNxthXTkPua0o91ErskTu6OMk137jtzojbjZs+u/oz4udFsU8l5Fkcb1ZS4q46l0RjvcgGEs95ZpaJ2z78fgRYNy3ylzP884MeykPcN4aDvhWZTzBPLBI5XdvdeovKos/BpoKmPpg0dR5XZARKXq46uS207mupw5gWoVTAA4dF0WrUoOd4WCPy+NVjohJ+csKnlj4OS34fruATMd+1/9cU4cS4ORhj3wle19tqSj10IWMC6caLSiXdkTxoK66LYSdp0vjQt6DrmsYE4E4GPx0QxIM/vziZkOG0KTne00OCV+7roTKx14FNvuMOO0xH9XDwesyt+NDu28MbOSkKV1gw65NLKy8vFBpR0i3vjmCzfWDU4EnEpRQ5sMny8fonCdq2FyfjE1klw7hHblO4ZimGiUYCwy7MjMAJn1GQdY1FF93cYIkwKP+rfUTPdlhREUkZpPyDJ5z8b23dVxgztP2e6Bm8M+DYGFXds5ZEHmrFFa0BDUsmucdHXnkG1hPcxlxneWK5KQjvh6LJ/NtBJ2BSk2GuUc+u54ijmhQjZlbsoMuJ5IZ+Zi1vbs3HR8ocsdQjNz/qSDiFKE9DdHKefmrT+9cjDghjQg6gkyp3Ms9s08dKS8CH5aVb4plHETnVKMZF/x//zHD2KMvfdAzfquhGrydfZww8h/poNgAk1uiBN7bU1BNO7v7lAVTqojQAuS1nZdPEr4TWV9178LE3Ooov55knotH+kwrpt7AOVAEOnSJGo2HHNeZBwOyoJI1vfV3T5LC+JL/ZxwLI01ZCzW9vvsylrQUlDIeCZxSOh+FlRyu5FQCMJ+OMrJZU0MAsWcyNskEjflxpDJ3HRqrsW6+NJct8nJrsxN4u8zzYQlif1v9cecFV96eb/PtrA4nnrSyjjc+5o76bTtrvCTD/86o7Hd3N5cfZ47Ltp3aWb2nL3G4RafefwJANYPWyhlGxj1tgtmhEmxsbFFIjThSpCEpSnZ3bOx1OWrl3wH+DzPGEszhtkZ+/c7uxuU0gDiyqXnvITH7Ow8+9vrTG1qf1A2RXRNbWpTm9rUpja1qU1talOb2tSmNrWpTe0PhX1hIrqoRCRcKmtK4StfRos+wITmgSq9MCZRgJGKpTHQkoy+EwO/tnOIKkSvoUjpS0Xu/lMzpFL9ac9pCqkkBcITP7M8w/5N0a5qaJaMHdpjcx3WNg/k0gQ9oQNKubZRURBK1nx3VNGVasuc6I/Mh5pIhCaDrGI4tL9fasZef2CUOfSY5qpoPI2qkls79ueiwLfi7s6LTpjWlILiCJTy2uuVMb5ltkMMlVlFS8ZvcJDS36zF9Z3GydLiIiPRQNC6JeNboiqb5Q+TmFLarCut/aOrTeOFwqrCoyqCRojh8778KtvntE1WGqVtNUgHCuNEeqWChq7bNauigRHOf5EXNBZtpe6VfdGqacWkYzvm46Ikl0rQa8/MMxbNh4VFTSbaNKWg6c4utTlI9+1pGyFL4g+Lcx1ubezLVdcC605M2aDRUmbOshLn9l2pYs8EimBsH/bgMCWX8640Y55+7GP2cFIW3F6/wVd+118E4DyN33UE/9jXfgu//P6fAuBr3vf1PPXsZwD4M9/9PQwO7PX+/K/a33//X/k/2Nm3vvnIi0/wiz/xzwFID8eEyDhkh9xat1WfSy89K9fbYwJWUPvL5FzgKoKm8BoVYRhRiE/naYYOm1SVhyq8ymasnlINq6nLrEpbfR+YaNVdebH9oJGAlnms0OSJ9bdV0aW+datHQ9l3qzcek8kxXnt61qMMWs2AWCrA7rQnF9uMNm3FN9chy9L+eWmmza1Nq6uQuQvW4YQwt6GSinZVBQTynsyLOGqsFbF8d7+fsyTiwqpKqcR3N25azYj5+QU++JP2+cfNiJv7dk780D/+AX7gn/8sAB/75AcAeOANr+f5J60vfs37vguYnxhfW7F8w13vAeDO87/Cffe+GYDHX36eR/6T1a1oNNtsii5Z//AAXxF2mis6ZG/Xithb4ZIa8evfba9annuNN0VQC/RiONIqt7FgRVu5lip7UYCgXaMgIBe4r2tsYcrUV/CNTv0KH4SJL+wrQSHdOhwTlHa+OhiPPXrv/rPzjEWnqDuvSVNZfwStce5Yh+duCCKyGbHkqs/dJmsyN6XOvXVEXrk26DlaqtNZbjx6oStV7NkAIllPRsOChiCf5tqxF/91OmEqgBuy1g3KkrXtnhy3IpXnM79k5/Aig+FQxkkrVFjr+JnSrXVSsc4qmiKenmUh41WHnKmfs1Kh94FKNJGGve0J9JPhNkSX/7saeeO0lMCgHEpNiXbTUUxNBvFzat0tRQ2LYFIezK3DZiKG0v46KRXOsfoj+92r6QFN4xoNjDmUeeH+swukop/WmdEUoptm5D08f2yOg5GgEoOAY3KMlfkON9b369MBRoVeu3SQ5yA+X+TgcIwdQY/NBopYYrrRoCTRtTh4y4l8yxpgwoCrsg6OTMXalkVYZDkMBJEwJ0iKONAUyjXNUTVRIIBKULORIIbSfoGEUMSJRgnCxMBtAvPefFAU+GekVEjtEJMoF3nHMahA4i0qJpucHLkZjZlAjZkqBSU6ZEpT1cr59pID6uvTGiSuMjkYQQvvD+14r6sBixt2jkkSzb6gv9541zI9EYpvzWjyzMWU9vmeP9alN7J/p4OQ47ImnViIuXHLIlxyp4lFQCbxWJlXvnmBySCW+Wa2a8d2NlQkoss06OcesXi82/A6TV76KlS8MnJxeMWNdUH5ZxV9QSwuL1s0cTNRpA5BpZVHm+qEOg6XZkdlWhDIe1eNDSq1KJzKFCwfOwHA9tYtVC2EZv8xpW/MZYzCTDTKaElTpcihyoOEIBA9yCKvkelVUWvYHoWZWrfXXkhVz01mck6sY3XtJqwwsM1lAKMCv84NxnY/dhjm3Ni073ReZBwKKu7es3OMhDYxN6N9LJzJXH/6wgppbp9dEIWckn3a0lyXa2tWj7FyiGmlvC9laQEOCZUZAonHOh37/s+EikiaEQx7GYk8j8Vm5JkbhQfjaV4eWB8fm4qr6zZeG6YFgbBGzp61z96MR+xsWR/f3Dj0yMWXL79Cu2vjpudf/kkAvue7vpeqsM/+1z71Am9ZtqyJhz/xYZSgtNrNhGZrQcbNXu/Nm5fp96XhBLHXwV3f3KYSBGKe7wKQRDGDQsTqib3/jNIhgTSVKo9E23RqU7vdvjATXX5T4vun+E5Ydo53Qndu01v/jUL55jbGKHav2kTMhTeIGPhozNvutdDLH/nQLifn7IK0t19Syflu7Y1YnrVL3R2Llkr08rUddkUE8lhrhkhmqhs7fZqyiBuZQHd7Yy+0msQBkcCDDw77BCKUPysB26ioWFm21/bI0zcJKpksRoaWLOJOMJNSMxDI9Ppg7GkkG4MRLrYfy8KVl1W9eAQQusCrVBRB3SkRLG1pecGOwyevDGgs2AV2uFf4SXF7b49IOps4gebx8AAjCcjRcOQTYFWe1YumcSLigaUI2RvysOuqyG+DXh+JKVX/D/ER8Z0yzz38tuagBZjK0VEjf60mHNNfF/rqoiQkRmP+qy9eAeB//0/PcHrejt3BYU4uPru+m7I0a8fu4oJdkF68uo0j1600YyIJ6q9uH9JqOJqjJKT2+54ioQJNQ4KWw96YoWzQ3d9vDDKabYFmr+7QkEg8G6doJ0J/1VK+2q0O/GcSXLUNefGSTUi9cecdvO+PfA1gg8J/9VM/BuA7rj3y2Mf4rd/6CAD99inueq2lNn7qVz/gRbeDSLN67UV7aNmAJ802F+96AID93V1urdokStLqkEvgcOKkpa5tbqxTCnUiHfVqZ1YScNca8K+yhaArTw8AU3f3U0GNzPcJO+PvrxoVBHPuHSg5vGn949j9tiHAwdZVHrzTzjef/uAmZxYsHH9/vyCV9/rqRp+Fjg3w3nKvhalfubHPhmzoT8w2aYqvXN0e0hbxUwfnPxiklJWjDwW0JSDZOxgQCj3IzRU7o4xmU4KpjR2aoX2+sSmpKtkID+21PPbwR3n3V349APe96ct4/2+8H4BeHrB+w4oH/7H3fSMAG/11Fo/bro09s01XLQEwpsDkVhz1k49bcfk3v+lB/quv/FZ7jcBj77oKwHe+79vZ2HAb6JoSoaiDfy0bxKoc+xi7zEb1POS+W5V18kuHuOYYSgVeVPxIUvEKCCTBUNnnYKj8veRZ7kVdXYMKpZOJeSyo505dke3LnCbdqg5HGW983XkAHvnIhveng/2cTHzg1u6QRbfWTcxN27Jhu6/TJhL/vb7ZY0bm/kD+fvdwRJZLoizQJJLo7fUHjAJHa7fXu53mtFrWt9ZuHZDI71WRWiVmqDuYVooDoYpsDkZ0Rfx+vTdEuw2HBN6ZUnXeOYDAJWyUpgjdjsL4azyxZO/z09sDtFCCy/5EMpSKQK7jXe96BwC/9VsfnqAEmolnUCe6XdKjqKpagNxUQmUDX5o7EuqiAZ1LLDS5gXQ0Jnu1gG3eATbBWyuJeyqaCgP61+Q5nLTPZad3yANvspulT390k3PiK/2Dgkz8dXNv4On6dyzaNfH5a1u+A92xdkJTHseVnREdWS8cDWi3NyaV74ahpi2bycFgyMD7kr3ezXFKq2l/vrW2T0PmYF2MCUPpjilFJWUUeyIOfas3ZK7pulyPiGWuG7lGNIWpfUkrfz4DFJGbW4TWOxOjJWZ86SAC6VRJaibmEF0/A1cIrWpqrE1Guu+G/nxF4eYjgxEavgpmJ7pcBxxZ0xVnqryNhmtMWSeAy7LuoRc05RuVvxcq47tGKwzl2FHo7e/HxZhWw47d9RsDViRJ0DsoyCT22r41ZK4r9NRlS8166fouexKurbQbJJI4uLJ1SEcoZC4hYecmaQ4UhzQkDt/rD4hk3jwjgfPmOPNJ1Bs3tmk6fysLstL+7GIsVSl2JbG+1hv4ovXqYZ/YxeES5+TlRKdBBaET8y9BS9ft0jWrCjSdpo3DV5/bBScsnsHBoXSJTFrkQgV2MYb6POqfSJaogEAosJsbwmufpNFW+OdbmcLOB59Hs301zF3TRIFgIgF/uwC+3HNVebq5whak3UWbSmIakVDpD1Nm7XTDw9d7nF+wMVTvoPDPYecgY06atZyTpNCL17fZcYnJJPQNLda2D5lpuUYodiwPemPvS2EU0pDnuNcfELsYS3xpa5zR8jH4Li35blCVRJJs9eoEpWJHCgW3+iNfmLm21yfDJu8GAxvnrO6u8eKLLwBw550Xeekle/8nzx7nU499EoCkYeP5D3z0w7z1i78UgH/7oRd46E2vsePz8U8xN2fvv9cfk4pczInj9v1au3mNQpJep0+fZji0fre7s+fBCQj9mBDvL1kx8s8xHbtnPbWp/cHYlLo4talNbWpTm9rUpja1qU1talOb2tSmNrU/FPaFiehyMHwP4zZedNdCbF2laMJcoaAqwbiqcI4RofhnrlvkwV99z12EDVs9evDUCnsiUFhlhRcpXa9KktjR0Wx2e39nyLlTFua5GIf0ezabfs/xOTYGNsOdSoVZpRlakBL74wwlVexzd5xESbXpihRlhqMU9u3fHZ+ZZSzw2jAJaAuia12okRuj1AsmtiJNT6DWN4djotgh2uy/aVZ6PfUsLQlcNQpLiQEwgkrLq4qtPREJrSJGuxOCkF4IXHkYayXoAx23MUVan1eLoHKZgbSkdoLPQdKlLJygZEDY6MqxSg/zPyoCo9IKwoiWIO/m5ufY3rS0pnSU16KukaCbypoKa8jrymXVBBHff+qy9afv+q9fQykohjefPMauUF6Lcc45QXHdLAsa4k8joSLt7w45d8ZSts7NdxlKxe6+kwvcEoFc50+myKnkHLtpQS7UjO7xY7518VOHUlnJ4UD8JctDpMhpYftyGy/dtPd+8myX3s1X7LFO3fG7juEHPvxBvuu/s2Ljq6tr3HX+LgA+9umPe3Hjtzz0FXJewx/5ivcA8IP/8pfZftlWjbSGSt7HsqiYnZkDLNIRYG7hOO94+0MAfOgjH0cn9j09efwE6+uuRb1ApascLdXhkpIgskg6U+WURc7RVZSswLNry62CmuZkEZ2OkuKq9wYVup8LCqF06nZIpa2v/PrjFtn2fQ/dgRHU1FvOnGBnZO91NEy5sGDRSbeqkkB86RWhanS0ZkGEomeTkOGhzE0nZlk7sL6khB9UjHKI7XcPskyoMzC7skghvvnolrQvp6Dcs2PcDBO6gjQMksjf800RWj0YlSxfs2isB0r4ez/yK7/jCK50jrPy4PHP+/zyjavcf8aiRt75VotW+42P/iQ//O/+EQDP7efoXXvtWZaTecpdQCkl0rhh37ksL5iVyuVoGJGO7DjcTs+o60BqoqrsKSpVWdMbj8ysAHXgmoWY0lNSVBDVtG6HWFMG7eimxmCGdvxVu+nBOU8/Zde0b/3m+yiFBvmW0yvsptbfyjTjgsxN14rcC9IO83qtO3vazk1zzYS++NCZpQ4DWXMcM68YZWRN65ujLCMR1MTy6UU/3780tPczHmfonv25GcREgl7RcUgga8BNoSiuDQyVVP07SURfzrue5l5M2D3KcZb5e8/H5QRVEEL5hZb3NTcVt7YtPWQ8NBSHgqooBCGHiE3LZPn4E0/KZ3piLZy0+jMnOo0JqFyjAxV4VDSmIg5DxtkRcBeNm5MCT2OapMKpCVacRwXpcAL1rSd00UOPFnr+OXsff+sb7vZ0nS86d4ZteZ+KccqFefv8V6uSROKeQWbfzf3tAXecXQZgMVH0Dq0P3ndylpvSjMChfNNh6mOzcVGQCMpv6dS8H/vne/a4WZqi7GOkEUS+4UHQiEgEYXNd5scbvZGn2c0kIYdCib0+GBEJasb53ygtPCJwnOY+NlEKInE4T7NNSwIZp3SvgrKmJmr/d4FHingqvinr2NUYT5s2GEpB/6nAInsUKUygVOtp6na01ZGYo0b42DtFywVYtLm7rwl/8z9rcI1XisA3jrq0Zsf+fV900q9jbzlzklWhuvd7I86LP5HkxMIi6IkQ9sHukDvPWX+6MN/2cdP9pxa4sW/njkgew7CfMpR3elxYejfAwpkulVzbE4dCbUwrAqFMJmHLNwQiiQhkTru6Yx3u6sHQrxGzjZhDidlXxwVNJ0wuBxhnA0JB+hRZ6ZHmKoBIkMWVzLtGwViaMZhM+4ZNFQXZcN8/CxdbKEE5VUVRI2EnnoEKAra3Lc1MKdccKqjpilQejWqBh/ERST4oQY5OrKVmAvXz2yyxSivfeKEyBVrV9+fu//lLdny+6qvnCSRueuuZE+yIr6TjlLOCVr6Z5yRCWe8LTba3N+KeCxZNfmq2xUDWuftPLXBjz/pS5Rp3pSk9GZukgkRi08UzM54R8pSsbUUOgTRKiaMWsSDTwnZCLEixa2v7AFw9GPi+S7NJzJ5QYtNmyzN6fuhH/w8A3vbQW1hctL6/s7fFX/1f/gEAP/xjf5+Tx08CsHHLyjlsbW3zrV/zTQD8bz/yK1y5fBWAmflF32BHByGXXrZC92HkEOX4/c6ZMxf4zGc+ZT8vJuY3PfHeT77vtz3Io5IOmdrUPt+miK6pTW1qU5va1KY2talNbWpTm9rUpja1qf2hsC9MRJcCoyqvbaPQKGWz8YbMf16rKRhwor2NuBajNQnJss2QR9JO/ZlexdYtiw757PoOpzoWCTIfaM5LNea4UrwkFcRcRKCXFro0RQ9gPwItCKqdwdjJCJMLAicKA98ueaEzQy5VpbSK6A+lYiNtpPd7Q7SIR1d56eU88spwsGsrDA2niTUa+yrHYFyyKhWIQT9jbtF+py2VpLLUlML3dggue9zKi68XUtmNCWms2ApiWJSYKxNaVh5RoLw2gA7dHWuMcSLAHSrRMFMY3xBAhQ15QgEKJ4jZmNAZr9EhR2PGIjNKxUBEHweHO9xecXC6EvKfyljhVcCUE/phoWHuvL33uZMWLfLZXp/kJVuZfnRtmwuCIpmJFBdE82FZK14Wny2kscDK0qwXRd6sChqO3384xBX8XaUojkOaUrFbmmmSipOEYcJGz1aeilz0CgYjBDRESEUllbCx0Zw/dw8Ab7vTorHO3/cWusfO/J5GcXvzKnOx1eWau1ijcf7Jv/gjvO99XwvAd3zDfwvAN33nO1m55y0ANPMWs02LDml3R4xEoP/kygx7B7ba6LT4VlaO8cwzz9tx2O55/aGbt25RiiitFPFZXl5h/eZlAC5cvIOdvX0Ahv0BQajxsmuvqhkRV6jFmk2e1hoTOqyRXK7EoMFIBc1qeznF8JCl++3fnb1o56A1HbH/rNXSeHR1mwuiNTGfhJwTHYgFDJfET2M577iChlQeNzHE4ks7/TEj8bsyc9U4xbIgApmZIZO5KWx26WXWj0vx/cNhQV8En/O8oN22Vcy41aXTsVV33bCirclhwf33WC22tc0tli/+3kfVmUNzAXz8UStc324tc2XbIhB/7l/8HJtXHDpQeeH/+flZjx66/36rRZFnKWu3bLOD8ajWIlI6onJNM5zO0sRzMVXlUbGmKr3u4tGYASxqrJS1gyDxKBJT5jUKxMFzdei1lAwGowSRNDyk8wZbnZ49ad/PzdaMR1M+vLrJRfGnbqi46OYmBS/KOuHEZleWZ+nImrMfGALRgtw5HKFExy0XUXmlAxYcYrHTpRB0StzosC2IneHIrnnDQUkuYx4Y5UXI01FOKn7WELRWOso9Cqc/ylkVtEbvcMyC+G87caLyAYVUm7XWHt1VmAoCQbrK9TaCkCKxJ472DMOePYYOlPeHIEi8CH1P5ldTqXqZMoZaTJzb9WbAInbU5yMsjIEsS38HZNj/S6slKKkXsknRfDVRcHdIeeVhcQoDouGowpjWPXZOmjlj3/n1QJO+uA3Aw6tbXJifA2A2Crgoc9Mx0+QlOUclWqInjs3SFP/ZDYwXUN7ujcmcpot0NoiCkLZo2BA1KQXxkrTbrO/a5zASra3hEAq5jRDtNW+ywtDfkbhJhLjHgxHi4hwMM67tWvTQ/v6A5WU7jzkNuDQ3Pm4KdODn8aIqfdxUia82w5i1nqAjxmOUse8fQUnlLmhCP8m4z9C13Bt6QvuNiUcjMa5pASP/dwgC12phHT3aFAWmGPtPKu/rddOOSR04j4wNgtofs5TmRfssZo/ZD2/qMcmOHdwn1/c4K3FTKw4427I+sGwavOxOLNPjyvKMF/ReKws6EodvHg7IZPCykbAigoAzoompo5hC5tCk2WFz10YSo6EIgQ9H5IIKCsrK3+d+mZHJ/ceijZpXlUfp7fdTLgvSa2e3x6mTdo51+nJjIgqZrwOtvT9lVQGhzLsO8VMGXNkQJkQKZd/F3tUESjX2iExjHLIrqlkHqvKfVyYhcOLnqSCaJ7tEBVGtqYax+pBH5FPiIfXxb9MVqzVzJ5HVXnY1iGsIMQVGxPSby9ZPtlQEe/Y5Pnx9g/OiHzgbKi5Kk6YlA6/4/kD2XCvH55iTmGZbGRqJHav1/b7f03mGTRBwfkG0DcPI68/FrTbr8vyHA/vsxsMxhcT2uiipghrR19sR1KCgTgf9sW9c1hukvLRuUag3B2OOH7Nz8JLoSPd6ezSECXP6zL1cumKZANdurvp17o1vs4yIv/Z9/ytf/m3fbc+lO7z4pP1ulQfMLth7fuGFl1haskiw3T07JwaqpN225334M49wXLS7Dg/2Odx18bo8mKK0+qjuMzcfVOXR6wdObWoT9oWX6FIKFcQopTBuclOqXjS1noDeuslR1/DqokBJsExYkB/aIfhv3vt6ABZ6FTuVQJy1RthsJEHATek2sdxMOOU2O5IkCoOAvsBRZ2abtOVFDruKg307wTnhx7ysaLdd0Kh9cBYMByiBze+L6Gq72eJQAqckCv1kiVI+kdcTGsCoKOgJ7DbUiqW2nUyvbfdot12fGJlUi3JiPjJ+UQ0T5UVaQ7fnLiuefsneezmMqDzEXvkdu1LGi24jSUdMLcptqoLAUf+U9ou3kwlWZL5bph0X6S6Tj3xHnaMxGz2asppYLD+XvuSE+l1CIgRJTlTloRcsDjsxhXSe/JMPPmi/ey1ls7CLU6y01w9NgpDrh3ZMFxsxJ93pJPAIQkVP/G12ZoGOjFfQDTjcs587mkCa57RlwVZxwECEUM3ggKZs2m9JAilJGkQSUJuyoCddjt7+rnfwHf/zP3AX8Xscu9q+7Ru/1//86NOf5KHX3QfAn/iGP8GnHv00AH//R/4aAKfOnmdzZBfnpx75ECa399HvpwQSsd68NSBJrL8szFsx9vFoyPaGTU7EQcm5s6cBuHrlMq2ODSArSehl6dgnBK5cuYKbC2bnjzG/eJy1qwe/73v8z5pSECRA5WkZGOokxKSo6mTy1iW9yoqwIe9LPGB4YO//ndIRp3lryF5pkwNJEHj6RCuIuNkTX4kjTkUuyLI+EcaxF5gPdURHaApJS7O1I4lo2VwXRUUs3XyCOKDXt3NL3jvAyNx0KHNQM4l9gjGJIg779vOtoeIvft93AvAD/+vfBmBvlHLs4mvtsUY9eps2sOoeu4dD6cwaS8fJ1bVN7jz522fCVg9XAfjSh94LwNrhs3zn//i/yzh0OXFSNhDDEf2efe+y0ZCRJDIeeeQRGeqS8+fOA3Dm3BkP3S+KiiC0gV5Vuo4FoaffTlLRlNY+EeCnjlfTjIIqwBhFELlOwcZ37FRhA5PbDUogNC5TVX5dUFqjYhv4EhiKoX3u3/ZGS/tsrfXYk+RVojUNCUo7QcS1fetP80nESfEzLYthEGt6A/G3uQ5NyRw1ZhK2RSDeiXDnRUUimwUdBV70e9jrYYTG3R/a559EITJ90owUQyk8lIGiknfH0YBGeUFfqKmRhmWZ/67t9mg367EAKMt6HSrLyr9vYawpnYCwLDFlWfDiZVkjDwOo3CY+xsjmNi+GvovVaOSSDBMNKJT2TQ8qU3n6r49HdDBBJarp+1SZ39C96mYUmPDzOoXW16wwrorm6oBUnoZnSjCRS/RFFNJt8Y/dazt+LW2NGFZ1srAlCYZOELB6YOesxWbMaZdllBgsTCJ6EjfNzbdpS7Jobkaxu+0SAPZ607ykK76kQsWhxEi9/QlfElpSMw4Q96AZGYaSsDBFQUdiL+dLw6LkcOjiJjgxY89xafuAGRFBd3FKWRg/PkVl/AYyamhPY3KK46YsuPaS+FeS1ONaFiglsZApfFHTJbp0EE28w8GET9SbRVfQtJRToRVV5cS6ctSCz0oKTRVMdvlTE80+fPLd/Y3x76SuQowsYLrRREmX8q+6x0ZC9+slBjK3NXRAS4oznTDmlsRNc0nEGRczShE6iGIORTbkVGeejiQlk9kGe1sivyF7gTwvaCY2DtFRyL7MXYc7O1QyJ/Wlk2ar0WAsCdckDBgOpKN5FPqE+76Iho+LwnfXjjSc8v60z8KM0C5lPc6zmkpdmDoOj5PANxhB3qWwgldekrm/0HU4ETTrjq5QF0LcOkHtL1TK0xGrcuDjd0exLVVZJ1xL6kR3EMu+6ogoZ0phq36/3UJq6v4Znlat62upSgt8ALRueLf/k19h17nFgyE9ecdaYUhLCi8Npbi+a31iNok4Ic8hkKR2kkTsClhg5dg8DeFuz8w3eVF8KRTaeVqUtIRqSxyyJzF4f3OLSiaigcQgzUbCSAASM3HIWPxmaBRdWbv64oujouTQ7ekCxfllm2S6dtin3bDfdQXvB9/4Np5+9ikA3vqOL+fTD9ti4Pm7z3LlpSsA7O7a+Lmf5oz27PU+/Ks/zpf9138DgGef+CQ3b9mChVEBO7uW6hjJ3m08zjmU9w9TcfOm/X2gtN+z+fkqqn0SU03k4HVdoJva1P4AbEpdnNrUpja1qU1talOb2tSmNrWpTW1qU5vaHwr7wkN0YcDkGBP67L6F2E9ygVzWX+gmpvAVObSmFOhy666YmWX7nW7XZqxvXL7BUBBS55ZbxCKOnZmSnlR0qDS7UnlZEQhqYCrunLfVoT00xDbL3s8qxoKAcJebRIEHp3diRVOgsmmkWd+31xa7inh/aBFXgFGGpoig9zGkmT1HQyo+SSOB0tEOc0aFg9hXHkFalq7yocgEdaID5aHNVWYopXyipdAct2Ii6Rg72q6rm5OMDENYV/Bk/IOwQTEWMpmOUYGgjnSDtzxkIbTraxahkTRbvPSSBaKHUQsjAvA6SI6YuohUgEpqufvJasMEuktLm2wdQOSE9VOqkaBlWiWzJ23FxVWb99Y2GUrDgjtWOsQyznlZMpTnY4Y5h0LfWBZfCEzFXQv2WBnaU2GHWcFQ0BSucpKEAU7PeK4V0RKEwFCF3Ni21fQFOX6ajsjEH7vNkLvusXTF9339t/BfguT67eyh130Rl1afAODG5SdY370KwNaardYOypDPPGyRNQcbmx7doJWmPWuh0IP9dZqtRXtAqTB2ugu8/a2W8vgbH/wQ+3sWKn3+/HkunDsFwDNP24rW1vYu4JT2c8KGHcswalDkR4WcEFFVg4UGABB7dIcpi9pvHHjCUBfETWW7BWDRWMmMvcax+MTu+h6j3Fb3Liy3SOQ9zaoCI8icvICeIC9OJI4qXbIsz1+Xhlgqgb1RSipU6XHu5gXt0V+dMOCEuEQaRdwSys+JtrTWznMO5Nk0Ik1bhKZf2NrjA7/5awC0BB02O7/A+3/pZwC4tXaFMLGfN5ZOcemVRwF4wxveIn+zwJ//H/7a543uT/3qP+Wbv/p7b/vs5MxreOSTvw7AP/w7/4pO2x73X/7YjzLoW9Te4WHPz02LS7bP+Pb2FpcvvyJHqYVSlVZU8r42OnP2t0rx0IOC+F1Y5v3/8Rfk7xSZoxQehWkIYiiLaAL1n01yNnCO5KhXCrxIsQGrfAsEcy2ieTt/HUo1eWd9i1SqwXcd7xCKn2Wm9MgLM1bsiT+dlHMEVcUd8/Z92q2Upy4OipJtEXKPpLobBRot/t+NNLE0OMmSJvtSGZ6Xua3IazFmYwyhrN+pqkhTh3C2x23FoV9n8iInc0gRKiIZn8KtdUqTOoHdcAIVU0ysdVJtNyogjO1x00GFkcYqxhRoodnrMPTHdhREY2pqY1XlHk1hG+W4h+fmgRrZorT2NA4VNtFKYfIjqD8qey1K1ShsjJmgW1YTrCHt/8gjKFSFquzY65mYsGt9LJfPNncPGIl0wZ3H2mi5v6w0Xti7qnL2ZEo+2bS+GFYVF2Wd21caLSifQVqSyjolLkMYaI8wm4k1Dde6Po7ZF/TzQuxQDhW6cIgWQyzw9KiTMBaadkv8thUpjyTJixIJDwk1xKpG4YONm273pTpuyuW7bUHX9DJlm5EAZdpAyXqkggg32MZUHrHukesKlJNGMBPSCKaaCIUyeS5N/2ulI5TEMOaokDf+ZBbFb8pigi5ZX59SNf2y/rCsBdIpHbCI+Liidcw+i2Fhx+7a5haVvN/3rLRrcFppyOV4e+OSA1GWP9sVaQ1tOCeol0zVcdNhWjDq2yDWxdNJGKDFnzoRNATBO47aXBZEzlwsJ85SlKNjVxbBApAa448327LvxLEwYatnz5UXBZmL6ZTBqQL4z4KAXM6rI+WBLtW4xKlihLn97s5hjkzt5IMSSjvuYVijyizNz72zvw09TOUT6C/lKXY1YlnVflgV9fxW5rcj0l9VqzDl2L4rt53j8883eUuO0aMmGD1GVQSC7h2ksg5s7DCWuOriUqsm95QlYzduWclQUIHLcvyGMtx7zCJ391EE8vAGacGgZ2MhJxQfhwFu3zATKxoy52Vxk1e27OcLgsou0xSd1Y23tNxnu50wELH52bZ9BnPN0K+fWZHTlz3DqePHmBXE/mte+2YALr1yib/5V38YgNXNl7i5bvdWH/nIr1MIWveB17wbgHtOP8DHf/XHAfi537jCy89J3LyxRVtiKFMZ/247Cq+lUmf+926tKIrcIwW9NkBFzdJRQQ3iqiYQekxtakdvX3iJLmPh56jytu6KxlEMBAEL1PpQqv5QodAtocVVmv/5oQcAONy0AfoDZ+f55KrVfFGxIpYueibLWRatiaKoWJixC2tbApneOCf1F6lZlwBoWWkiCb4ymWwrpShl49VqxuykDo6csSTnKCXZZpRiZcVOtlu7e/T27QS7uDLHTRdwyTg0Qxhncr1otvrSrW6p7Se6SoK/QCvfyUtr5WPfAAWyoAey0j67rkjX7ZSkUxtE2vGt/MKktCKIO3IO+yzKsqgXLpNTZXaMw0aTq6tWu+fr/qjVb1q7dZOewMH39vcp5P6ro9Ar+VwLQ7sJqdwTtGBva7qmZEoQqYLIT+a62YKOCy5jvvfuNwCQbdvrv3DHMp+4buHCOtFEhRP1KH1QnuUVc6Jp1JVE5n6aUwn0N1SKGxJon1Ta8/fHAmkeFZDJA8xL43WVKDKOtSXBJQtrqODe85YK2DvYZ3fbPodj97z5v2Tkfkf77j//zQDEYcVwz/r9lZdtYuHnf+oznLjriwFothcZHVqoNFHI3/uBvwLA93zv/8SgL8FEboPGm6tXuHHjKgCNRsK5MzYRdv3GDfbm5gHYE50ArZWHdGOgGNpjzZw6y7lz59jfevZVvV9nSgU2AJvQI/CbDmNqzQvfiVHVenVaUUnAno8T/uJrLWUx3bHv8cyFeR5es5pKQaRJSumuN8qZdfogecXynKVxdiUJfzDOObNo380gDLkqUPqTShOKVkgsGYa0gJ68/12jyJ2mWDZmZcb63UnpVDQap5y/YBNHT794BSOB5enlRe6411J3H37MJrHG/T6LQp/+zMvP891/wULlf/WjH+CaJLu/93v/EgA/8xM/xr/48b8LwPu+4ks4dertAHzzV38vv/Sb/48dKywlb3e8zNrl6wB87KMf4ZFPfgKAIs/qgF4pH8hvb9l3sdFqMZaulZi6U68pKx/cpWP5PfDxT35afjI0JGn6VV/5FbznPTZw/N4/8/W8+qaAmCCEUooaKmrVVLdyhMtwx3G9vhkXfFYlOrHjVPYLvv+tFwDIe3Yenr1jmY9ds9SDasKfyEoWZB5Ks5KFBXuMmaZ9ftv91K91WinW5edjKFqSBHXXmxnjdbeqIKTUbq0bsyw6YLnQgzJVsbho58F+75D9Heunx5bnuVn0/IgANENF29HbA83WwL7fC8tdZF/oddmCQPlOeTqo1zoNPrGmJWHzxLUc06/pqErLzrIqfHKq2WkxHvXkEblNo7mtW1lNH+K2bnsyaF5jSYIX+90qx6CPJglvbDLO78xA1mZT/6gmvmwvdCL5otAzsr6PDP/rF1taUDG0yeS583N86Kr1pTyomHNFrWzEMUkAjNOKpTnrS7PiSzuDlHxWYgs0NyVpcFxrAqcnKnzWcVV5bRwTRBglyaA89b5UpFIcUCVzC3YuHff7HOzamGTl+AzX9oTuK8+oHQSMJBFmwpD1Q/tsl5dmXChEIRvMSGsKeeZBoLwEg0b5BKvK7O+f+GyJrtymUaOMUPEaEV/2Ze8B4Fd/7UMTOqYuqaUgkASWScHTHCe6Kjq/NEXdXtQUTLIcj5QeZMS3dYhyfh8EdRG0KvB+5AvS2m+GdSMhmBUdx6TJX3+Dpaqn0vk1OQmfkTh8Jo6ZN5K8Hw85Jhv8w0HOwoz1p47oJ231U5QUnGOtWRWHOak1scRNhSRQRwZSmStbSlE6HcZ0yLIMeS5J51xpZmQNHR4ccih02wvnllkT2YBuwxWTciKJ/9uNBmviT6dOLZJKHJeJT0cKT8sGqGTMQq3RuZsr7XV95hMFSmiqWoVoiQ+L8dCvXzqI0IGTC/GPyk9Tpgr9+qCo/LNzcbay7RX93zsao6nqhOyrbaYqyYcHhM1ZtOigGVNhCjc5u7vAF0WV0rVWJgYtRVrViPiBr7PF0iK169zMxUU+sWrnpjJUdCR5bMYF8xI3jcclc4vWl+ZkbjocF2RyjjgIWHW6ghO+lLouiAb/3cJAKe9yMRqxmEiyXCQ6MjRzS/Zco34Pdu19nugmXM2dxIT4j4IZWefKMODGvr2nTifmUIqUL116AYDd3U2Uto576twFbtywdMV0YHj9a94IwPKsjde+8b//G5xasfq73/mnvpu1G5fkYRT+dW00E8Zyf04aocoz/w6fPHuBzQ0bu9mlxa1z8iyoCz527XRoiwKjJxL4U5vaEduUuji1qU1talOb2tSmNrWpTW1qU5va1KY2tT8U9oWH6AKbnlPKF4wMpq5UKnNbdzwAo7SvfqhmgyARKOmJDm2pVo9FfLJsRLz2oqVYzSQx6aat6h8OQgapzaAfYJgT+kfZkgpMGDAvcP7DnRGJVFXKRoir5Oa5CDuPx7RE8HBvVHFrx1Z8Ou3Yi0L3pcKo0oJQsPQmaBALrcJUmmURVR0J9DmKIpSy59gdpWyJUO7C8aYXSq0cVNlUHnIdh4rAdX5SoEJ7vYEIdeY7PYKO/W6xX/qKECiMjIkJm+iwhhLLRdaIryC2tBugSHfY2bLVzUgooAvzxwiDCSSFE6Wsyomq+RFZhZQn3eugbv+lL41JdSIfWyQXoJIQ5L5P3tmhNWufSbEpCJko4nV3WH+aayWM1sWf+gOGIpx7EGgWHWXH6VnqgK5UKXdGKU15JmWo0Du3U3NUUXqB8DgKWN+2/hQnIZkg4w6k0kOVo+S7UXueb/7j3/r7H6/fg73h/vsBuLF63SMZ/5s/9Zf979/+9rcB8Es//59QXvx7zPf/rb9p70kVZPK+LM5b5FZRFqwctwL0169dYW3NdkddXlqgK+9CUypWh7urNZowCGg27O/TwnDl8iWytO4U9aqZMZgyFX913fDCuolBUAsLKy9QX1NWVBJJZyM49+ZFEhGxLURoWTUSXnPe+tJ8J2Z0S3wpChkN7c+9AJalElxF8n4Hgafp9LOMxAmodwL0riD+hBKpyspTovfHcGvDIjaOL7Q8BXuzI2M5LBgf2t+fvXAHwx2LDkwz2Fl9Qe5P4PztmAPpUFdGM/Qqe29JHHLu5FkArtzYA2B3WPHoE5+1w5c0OXvOVmPf+46v9Girr33vN/hh/6F//Z8A2Nm85TtYTXaIsoBeQWDKmjAepRaaj+2W5ahJtnNZjbCxPxj/XLQOGEoF/+d/7t/zH372ZzgyM8aiNKq6q5Ypxp4ORZj4Dot55ro/lRQi7KyixItaz52ZIZbnZmROyOOQB+6ylN92HIEgqA77AwaCkDoINIuCiqia9ljNKGSpayvaq/tjEtexsh2SSHMLJ/RNUdATGlAYxWztWnTibDvxDRt6gUNNGwpZ60bExEkt2Lws0gKDzDV2qcWY90cZWwN73KUTcxg5buEE6CfWukaka8CSwlMr3JjpBLTcZ3oNUNL4I2z66vR4NPBLhBduNrUotzGVR3fpsGVFnwEtKB2lauoiKI/yNCAxy9EQOpQ9ufdlVQs6CBJITf4HSpWemme0QYnw+vLrl2kuWtToeFOeUax5450WIdCKQvSuCDCPYvqCINwxJccEvV42RLg+jpgRNNbhXkbLdQUItO/C7N5pXVYMHBImrdgWKvVMJ/LxzaFDoxhDIQjxQRnQEFpSXihOOF+SeTmKQwLpFL05SNmQuXT5eBvp2+EproUpyV3XRZRFwGNjUNd/ZDx2tNWaXmWyMcg6l2YF/+lXf8XeE5rSU0nlYejJ+EPfHn94WpBQF4PmBJIwBDUh5n1kVDOASlgU9TkU4UTjzqim56oaFegHVIdoQfieuLdFMGOfT+PQHq/RCHmtdNiMqDiOHbv+MGQs6Ox+rJmT0znx9zgIaErctD9M67UuCmqaqVykznIG0mAliAJ2JQ7vtmOPAO7HgqwrCwoRDe+ZiKRh72Ovl7EsCLNBYX+/1G6yL/PY9ijjpqx7F+5c8rdfSDxXVZn3p0YcoJxvRcp3De33XBxToiRA1Cri2IqNBW6trdbxBJXn99WNJiao6FU1EXtov55qLyRe1g2kNB4VrYJIOo0fneRDMe4Typ7DGEPgZB60+jxXrsqilryIlaUqACceWqK9aNH9/ZsS4zUavOGCnZvazRC1ZZ9TfxgxlnWj1whZcJ3PZf7rNCJm29Yv1w8y2q47V4iXeindu5mVDJxofBiwIzF4txN7xP5ABN1VWVIJUmq/COg0HeMHTs7Y7/QlHksaMUjctT3IWO/b4x6fmfH+HEvTJoKAUFg1n33iUzz19ONyjRkvX5bmPws2Lv+Fn/lFlJF3I09otixraDwaEUd2b5OmOVUmwvNOGiAKfafOqhoRikRHhaKUeF1p1/WzjmfR6nZFmNChx5na1I7cpoiuqU1talOb2tSmNrWpTW1qU5va1KY2tan9obAvPESXslWG22QsjPFaJfY7vk7pf+8EUcNGyR33LwDwP7z5Io992iIPIsnQLzZiitxWY7YaIaVUqFcWmrwgCJxj3RZdQWR1pE32ytwMrzs+B8Br59v8xysW3aArQxi46qW9xlFmGIoWwUgpmqJVoOKE4Ui0TURTidRQzIhQZz+lL6KA3WSIlmy6E5XPQ0NPdLsuDwcc9AUxdGnEzJzN+ndFZyevDC2pcqINpaswl9DV9jt7UuEoN0MQbalKV7ZFsRtf4dQHUeLRKq7lPTqEoBbzdaLiOu6yuGCrLhvrVnNI6Zi9fTtmQRBQCFIsjCIKr3FyFKasP1VjahROq66iag2CRPNaGKH2ulF6IeGtX2ZRRN96+iJPP3kDqP1pqRGRC0LmVhJ64fqF2ZhLQ9Fxaze9HzUEeXh2ZZ533GWPq0djfuGSaE8VFoEHkDh9gapgLCiNa7uGjrREz4OIVCqAPUGhJGlJJQi0djvhp3/uPwDw177yv/kvGr2tQ8vtX565E/e+vXz5A1w4eTcAN6+vwsiO2w//+I8B8KM/9kE++lsfAiDWBWOpGrXnj7G1aRV/ZmYX6UtFfmvLInrCMOYNb7RaYhubm8zMWqTX3GyHTz1staCqyqEKw7qaVFWMBBW1aDL2++Pa319VM1b8Wwe1FpcKar0upfE6b75RRumnKdUKue9N9p7+zNlZnvms1Vhw2i/LzdjrDt1KAj83zc82uNS331nptmmLL7Wksn3+xAxfco+VWNVZwX94yb5z5Iam+JIrGqcGCtHwqoYjzpxeAiBD0YxstXBb9EnyfkYlVfeb11bpSsXzL/zlH+Anf+JHAQ/a4SBP+c0PfRCAF7f3+Xc/8S8A+Bv/y9/g7/0Dq9d17doTMoopD77lvfY+N69y+fplAP7tT/wQt67fBOCVl+378EM/8gvceOUqAGVe1C3VJ1CgVjBZNHYSeTeK0qN5jJoUo49qXRJ5hknS8MjIqjK1Zp8xtRbTb9cV/f+tKVvprsqUMHEorYjCCxUB4kfaIQSURlUOkRNw5wP2uf+ldx3nmeft3BRKJfhYM6ZwTTOSkGpkx25+JuLlvr2vlW7Li94mcq9nz8xxccn6whsWWzy8Z/1B5wV9bSvkru36uCoZyVo3PIBIkJW9MKSX1SL2AI1cUYrw/TitGA6kQq4jRDKMYqLqfijz6pXRmAOHtri8yayI7s8KIjIvDR1Bj+gQMtHuUxW0lf18rScNYw5zSili61hT5U5APPbrV9RcrHXQxlZHyJTGrxmTOjeYHB20mDSLJHRraFEj9LB/Vh0FEkc0uEylJrTrTD333CbSNRk/iS+FEXfcZ+emv/rWFZ5/4iWgXueWm7F/2QdJQDWUdW4u5nlB6SzPzjEryNtY1tIzKx0ePDUHwBsXK37lsp2bTAEuPMklzhlVNWqiVxkaDUHSBAGH8k4MJf5Jcg2CYs3HBX1BRZjmgGbidCut72eB4UAQ+i8eHrIjQtO7h30WRDNuXmK0ojAegYauyByquoKmrLUbB6K5lZVW8w8EmGWvvTRhvf6Y0j8PI/OKVsGE1lY0sX7Ugtdeo8t/Doq6uYCi8mjOozFl9euqzM+TVZWhAnctqtbKLSfE0eUd0Z0u977Jzk3fe+cizz9t133XYGWxGRM6Qe9I89y+RQ6/5uIiL/bsgbtJwpJoWjZkHTq50OAtF0ROfJjy69f2ASjzko6IiWepm5sMA4npD8uKZlMYEkmDHUF8DwSZ1c4MjTl7jqyfeQT9fCshFF92cWo/TTkUVPWL/QG7Axsr7n72KsdXLBLymOhBZSagkdh7DgKLjLHjB4lo5F4TVokqI4yg/0qTs7Ehe4ywgXtPTTn22lbuWWAK29QJMKpeI+UD+aGer4z/rPSNNJRRt//dq25urZPmKVFcN/GYuE6/vtvJDADd7nDuPjtWf+6ekOcfs3u6QNaKE92EQtaKvTiwQQ6wOBNxSfQY51sJi227XszIWnticZYHTtt9SjU35jdWLTLVFAUt50uyhqVVSW/ofKmem4Zxk92xaMLJnq4xKolmak1VF0+p9pB2U3zM7emqkv2xvfaXegO2pcnB9osDHnjdvfaeDqwfzM4vUxX2PRkO92i17RqdpyOW5+xe4gO/YdHvy4vHvMD8T/y7H6HIejK+ikPRdq6yGh2ILvxjajXtcTc2tkH0BcEQN+y7WOQO0WXQ2jXGKermcTpgYWEOgF0n8Dm1qR2hHWmiSyn1VcD/heXu/d/GmL//23znG4G/hZ2pnzTGfMvvelDDhFira8FReWilRP9ycJmkkxA978QKFW87bhNdl67uErmElcztiVa0Kjtpbo9reGxVVhyfkYA1CogkydCR5FVeFGzKxnw5rrw46o3VXUrBIDuhxbYpfMDeVTAniYlBqYhFrDcvJCgqUnZ27HdH45RExH5bkabnEkBy7TuDnJsSsEdas3DMTjzbGz1aHRG5lx1ZEGrGrmtjI0BNUBR0bH++elMm4CjE5AIT1vW4GkALjNX2bbT3X7quX9mQoCHQbxVDOCOPqGBnewOAX/rlXwLg7JkzPPigpbN9/BMfsxsLIE/HaAcZPipTcn3GcXRy6mA/9Bti5a4jVgQLduzCGcMbQrsBeOnygd+0dCQ4bwSapvjQTlbg2l9qrTghwTNh4DeqLoFqipKbuzbgPt1NOCabthur2x7qHsnuT5u6M187VHQS+/lhVnpRfyfMnlaVh03f2nyFY8ftAvjhn/zHvOdb/vzvOkzXt4WmtjTL3/k//xwAs11JGn/nn+M3fuvnAfiV33g/K3Piewd97wPPX7GBwn/3ze/mN97/AXtd2ZhYNr+jcd+fq7e/gRYYtksaFcWYz3zc/l1RahbOnQdg9ca1ukGCo5spBV6MviSKHNQ84P57L/LUE1d+13v9LzalJSFad6LSjaT+3edZRSTBOp2IN8lG8OWrPbQ83+6ELwWSZN5OC5/cV1SszNpjBHFAIL7UdGK1ec6NPTsvnG1rjgt15+barvelRJ6BMWPGMpdWWc6yQOlv7GUMZH47lABpPoKGzBXFuGLj0D7fRx/9KC+8YoPN0nWPrSp2pXPezEzCy688DcAP/t0fZF+aEfzMz/wUALOzc7z//b8IgFYZf+Rr/iQA9957P889bZNhX/613wbAb3zwRYa71i/jKCQTatvu7i55Zq+z1elSSODYFMpx0TukqhxtrSIRH83SuqWIo3BkWS1sX5UTgtBKewrDkWwpq4oyG4ExFK5hiQ7q5FpVoINIvlqLm2uh26hGk/ecEX96ZY9A1p+uLJtxoGnJ5nqnKCmdSLtWnJT3N0hC30zFUyzSwidjSqU4Lj5y5dqW112PYxEjN5nvbNVU+CRspmIaQhfrCX0oLVMiGf5ef0Ak4s4zCRzKu+w273vD1ItABwoWpdPa1sYhTcmQOMqbmugw3GlEhDJm4ywnlwTH6oYkQsoEI93MlApQ2s0rJYF0XZzrhGzvSAMNvyms/DqsVOBp+gaDkk2C7zpMgN+Youp4xlSYI6WbKZSqr9Ne68Sc5J3YOUJpuZxAMNPiy07ZMb58/beZm7QiEhrUVlbWhUcDpxfs5t6EmkgSErNNl9TRbEmCdUFlrAgl9trqDqXMdXEslB+Tel9qa0VLfCklpBHaZ90fS8fMIgVhLvX6Q2a79p2Yb4YcFK6pjL3G3WHOFWnyE2rFcWn+s755SNd1mJXssg4DhlIIaDRD3zHNaMNQkq3XrsmGmLZf1zERLl41ZUZVuo7XUDm6mmuuUKQTTQB0vW5MJBqqzM55hG38A50QeD7yrouAE8JXjnqpqDv9mToR4eUr4hgtTZyCmYS3S2Lp6rV+HTdJErIZakK31hUlkQiEr+30OCFz016asyuJz3tnrI/FUcj6of3seDNgWTrwrd3aRcJdQqGQNU1KJk7fCjVN6UY8Kkqa4td9ocqmJkMN7Hf7vT6BxFiJNoxdZ1spGh2kBVf2+jIkFWdP2xjpxuoOs3I9aW6dU4WaVBIZrSgg9EnoipHM+S9esr5pqhgljQlUoKkqO//FYUQ6Fnp0lPhmUMrTpyNPobXmKNbG0pOZ6LpoVF210aGn+tucdwlH0SjDmSkx8syLdOSbOkStDqWr7rjkVhT4ztZVXvIOkQy5fK3nhdM7ro5fQVuOu5eVvgNzFAaszNl4IIhDlDy/eaH4A2xJzLMUhSxIseTmrb4PLROZmwIyHzc1Q0XifCnPkWWM/tg1aClBYqj+YZ+FWTs3LbZCDty8IPTl9d6IV8SXDCVL0u243V3kwtlzADz3oqUofvO3fidPPfNZAC5evJ8XX/wFAOJGxFjWoxdf3rdjVo5x3Fh72bIeTYrGB4oklnhJhPRnZmY52Jc9ZtwmDOxxR6N98qxuDgCgTOGT4CsnL7C+aoXrdVjS6+8xtan9QdmRJbqUXfH+GfDlwCrwiFLql40xz0185y7grwLvMMbsKaWOHdX1TG1qU5va1KY2talNbWpTm9rUpja1qU3tD7cdJaLrLcAlY8xlAKXUTwNfBzw38Z3vAv6ZMWYPwBiz+Xs79OcgI0w5QVcETw9y1dGqQgtSIpqteOS6hWm+uR2wIJWZu++1ObaDG9usGpttH6QF807ElIAEJ1KY0PBUEaEuzsTcMSMZ/1T5asvC8iwzfQs3vSniqUNT0okdcqdga1fE6Gc7BFJhme/YzP1ePvbVlk4jYiS3Pqpq0chDJ7qaZiRSpSyiwBfUzl9YpJIqTe4QqEYRxzUaIYycyKmhFGHX4aZ8OQMl91kVua/QmaqoYfdK0ZZrHkmFvoQJ4Vvjq4wmP6Q0DuVmT/HKlau8fOkVAMK47ZE5Kgo5IryEmLFUJVPUdICqqsWroxZV4Soqjm6gCIQCGnVDnhKx0bv6IYuxHacL5yzKa3hzh1WB9/aHOYtSFcrKEtEKp9OIacROYNr61fG5mAvLrnIZYUp7DYuLs8xLW+Hrm/a8Y1MRSKU8MCXpyPpbELeIpOrVFFRRSeFpse0kIunOAbB/2KNWhpygRfhRskguZ/nYVpRfWLsOwPf/4F/k8g37au/s7/O0wLHLqqQjCJNv/qMWmfPBD32EVtdWzdN+RSl+0WwtMxY/LbMxgbzHxiHpTMVobO8NFXDtqkDUw5aHUDdalhJw79138vIli9qqTMVoaMdvd3eLXm+f0egIxOjBFsOqqp6iqoKqkv8oRt6vHCpHBYpKKolRq8XjW/ae35TkLCX2Odx9h52b+qs73KjsdfdHJXOCisirgKZMdZ1mQuzQFIJcOdZNuGPBPoPNsUIZmZuW5pgRms6lNfs8x2XpUQhFUXB9TWiOjQ4a+2xOL8/ZWxsd+uYZi90Wt/r298PeIW9+4CEAfvWjnwBgkOVEgmasogAt7//axos4AeVI6ACDcY9DQf/FccBnH/4YAN/13X+Wgx1bFbxx1SJqXnzmGXYFXVOVJZ2u9dEoSihKV4VcYHfXwvtdZfjNb36ITz/8iHtqlI5WHYSUUqH3NCCFrwI32jOMXXOQKvXz6pGbiE8bowmlymoF9I1ctytfa/Bi9fDpq9Zfvmje+Lnp7nusP/VubHG9csK8BYtSAs+r0lOI4iAgFipHLP54rBNzRua/pzfG3BI0TGtmhotyjheksUBG5dcWZUpGgsBQcYWWBSoROmllclJBy7SigKHc26gocVXmnlD7B2lG4hp0RKClYn/nxWOUsnbkgtzRJqDdEkRzZZxuMc0oIpBry8eCPM4SdOQUyMOabpb1aTTt3BLGCbNzdn7f216tn5H4S2WKmk6mHYILzzozFN65DMYjlo0BdaSyqcY686RjT8g71FajgYIlQeB0G3zyhp033jOvWZDnfNdFiwgerG5xrbJ+MBob5kXEuSAgkuc8126TuHUqsr50fDbhhFBNd/oheWn9dWF5jpmGPd7VDbvO5RgvfqyNIRVkMnGF9jRj+25UpmAs6MxWHKDkesdl5WOWA0G/98epp+WaJCYUis19d6x4Kvw4r6Ud4sQxCSAUZ1ImIGnJeyJx1bgo6qYDVQXK0Xwm4lUVWnQKoISqpXULM4EInOiuNMFmkHdKRbh415iijnn/IEyFKKUwLt6mqBlwpvRojrqRxhDVmQMg6MQ8silzkzbMy/M5f0Go8hv73CjsWj9MK2aE0hUEIYWIXi80YhJBFvZyOy6vW044fsz603AAjjk6Oz9DJ7HHu3LLri0jY3zcFJqSQmIClTQ9IDFxyFQKT3XtNGIfh5dKearfhlC4h1lKQw5gGokXLH/9vacxMt/u9e2/7U6DhoP8KEUgDR+00gQtOUbpmljE/vmqCbp9hUZHMn+ZwiMVb0drOhTXhNh8VWBwvueogdqj8owp/d7D1CznIzFjjG2OYdw7oH28XRUplVv/BCFejFKSJSswrxsJj69ZX3uolTEnsfSdItcwvrXHDVmnR8PSz029NKMh93p8tkVD9mQqqPd0y/N233g4UlQyv80tzNCOZW5at76UG0Po5raqJJcYPWi1/TNtNu0zKlXh2TTdVoISivWoqLy/bgn9uZ+O/Z5ONRvMzs4BcO7kSV55+Ul7//Kcb968we6ulXbY27nBmx+0MdinP/MxtMxNlCI1oyF3TRm0phK+vpVxcShmg2jie8ponpU+Hjhx8gx7e3bLPhrVbAyHcldBRCX022G/h04kVipz8vQovWlqU7vdjjKqOgXcmPjvVfls0u4G7lZKfUIp9WmhOn6eKaW+Wyn1qFLq0aOdbqf2/wWb+tPUXi2b+tLUXk273Z+OUhNlan/Y7TZfOlJ9nan9f8Gmc9PUXi2bzk1Tm9rU/qDs/99i9CFwF/Ae4DTwUaXU64wx+5NfMsb8GPBjAEpHRinbIryullG3ZFbGCz0j+hqq2wRBKf3N976Wa1dstfna2h53L9mK5M1rFhXQmWuzPLAZ9mNxyVzXVYI1M4IKG5qKltMSEP2mmWaCEf2XT7y05qtZTVP5yvOKVMFfWUsZSNVZB9orjcWFYSBCKSM3+QcxoWh8lBPtrJNAsyEC24Fk9NeHIzKpChZ5SVMqBWVV+iqPqy7kVeVbeedlxVi44V3T5LltqTyOnQ7ZPO9517sAePGlF3jxRStEa7KR15xSwQz9A4sKUaFrCxzVFUajAMf9T/A6mVVd2VQSPIWBFSO21xv7CsGrZbf5kwqEUm6gcvo8ygvuV1kPJZUe96DiMzMoEXT/R+97G489ZRUVVw/3uOucRUusX7cIku58m4WhVIiaJXNde6wKzUxL/KmsfEvsWCrLnSQBabX8kWdvglSymlSE4k8nBKXz8o2xR+qVoSaQ96LbCBhm9mf5h1FqCF2lTGluXr8KwMHmDU7f9wYAHnr3133emN3+BCqeef5pGUv7m8ee+ixKfGiUF8RSgV1uNtlUZwH42KdfBuCpT32M+TmL6Fo7LOnOWA2Lc2cXeeDBPwLAv/nX/3ct9Os04dKhRylRjcnFiebmjjEa7ANw9vQd9teV8cgca3Z8l1dOU2Z90n7Aq2GfOzcRNkQUWK49qsXNfTMD8PODiSMCqTD+4Nec44XnLYLq5nqfO85ZhOT1K/azuYUO8wPrH8uNkllB4FQm8HPTyFTETjdHdMk6zQRmLBrlMy+teTHujio94u/0ougErmYcCEI0DAJKcZy77lxgJA0pShn3UaVpiC8NcvjyL36rvblyyKefsroRgcw7e2lKKXNFUZS04ho1puTzY4u2DvLn/sJf52d/5p8DcG1tlYN8DYC/87f/Ene/02pz/f3v/k47Tpde8ghTTIUSdMEP/sDf5K//jb8NQJpmlOKbuehSfOpTn8J5tVKa3DW/CEPf1rwSnURjDJVUmtPRqBbrVSFazv1qheqft9bpEFOWqNChLDW5NEvRYXPyL+0ltRLcRPXP/uy9PPOc9Z1ra7tcuGDXuhtX7WezC22Oj+29ZknKqWV7vCCIaAsCNFV4QW2nE3j/yTmYnwPg1pU1QocWHY1Q8t1TC6INtppRiAZRGZREMo+12216IlqbydhmeeCROUQxDVnTo6hiT1DCTvh5fTAilzJdbgrfzCMvCrT4nNYOPaS9WHUVVhSyRrbyiI8/I1pHTqAMQ+UObLK6hX3UJBU06fZOQllYlJHyyK2w9guTel1BC9O6PczSQeh1mZSaWAOryiIWXiUdnNt8KYiNrWuaejI3E/OUUl4s2AFB9PwcWlCj//Sb7+XF5231/sb6HhdlnVu7bn1pZqHLMelooZoV84JuLyvt9bFGVUUiCKiGvPOdJAaJmz765DWPaI+rwsdNJ+atf11azchFi7EMcyLxj1anzaEsgLm8j2mhcZGVikMCqekGYcC+aGk5/7jZH5LKGlNmFV1Zi/OiRAviLxBUblpWtCW+zExBKuPXKZt88hmLahgPnf/E1HqxhX+sOmiicAgIgxJEa5VL/BQ0aq1JNARN/13/nsuMYyY0aZVSfq2EV19O6fPWOmMw6AkprloU/TY0kVxrcGyOoGmf79/50hXWVu37dO3mLhfEnzZWbWy+sNRhQfx0pWOYl7ipMJr5rtO0rXzznvHYjtetgxFn7zwJwMefuoa89kRVSRw6wXr795dupLieT2UEkUN6tgIOJf7McDqNeAR+GYRe0zZJItYFWRgJknatv1/7U1ox25Q5tii9QPys6P0OsoxO091bSSp7lmgY8ZHPHriRlzENcC/v5KM1E9pZStWIJCYa7jitQSb0mGxTL/ezW9Mq3Pqh0F4r1+RjKIvPOfN/ud3uS7FRGDDKC+lXOvRI1yLN6hiqIcj90ydR8jz/8Z84zvMv2nno8vUB585aJNfNq06kvcWCUEfibsWCzE1KhyyJtmmGoSG6yw7N3E1i6Ni46aNPXfXxVFiW/rsnF+xzfOHaLlo+G4YBoTz/RClGMtf7f8fGo1yDMCQM7FoZxgH7woRwcdNqb8hYYpoKw9kVGxNubm9z7KRFtOWCcHz8yUcYHtp7fuNDb2X5+Gl73LDN//PzDwNMaNka7zMVlddGU1rVaOSgpNmy9zeUhgr94R4K689Xr7xIV8bHVNrqP9q/tJ+Z0IdmeZGyMH8CgJ2t67W26GSIPrWpHZEdZaLrJnBm4r9Py2eTtgp8xhiTA1eUUi9hE1+P8DuZMbJJVNQdaMwENk3Vwovy8oZhwLveJgmtmztsblrY6UIcs7NrX+B2W4KFvCCRTeNcXNKQoGd9d8jeSAR4AwglIXGfiOCemW/RmpUNkjE+kN1VJS0RtJxzQoI7PToieJiOCkqZcIaDMUtdEeCWCf9mHniR0yjQzAu9p9XQbPi8jBMij+iX9sMkDm7bfDkxZtcZRqF9IqEVBogeLEVV8LpzNgnx0Ss2GJudmyGQoPLatas+EtbNWf9zHGm0JLhkLiXPTU2jofTBGXqiq5AcV2FQIuxYlIbZ2Y4/lqOzHI0Z2ZQovBMFsSzq8mvzObPxOOVtr7H+9OyLq2yIP81FITu7Fso8I+KYFBWJBDJLLVX7086QQiiyRVBTo+47Zcf+jpUuCGwapUllMRtQ0hXq1Py8pWnNbg/8Ofq9MY6bMxoM7KYUGEmXoCeyMaOB/fvjy7OkA7thm+02SNoLv+MobY77HGvYZ/JPf+wvct99bwTgxppQd9a3GEqw2YxCGkL5TU3FHcv7dny6dwFw9tgiv/WbvwjA4uIS8wv2vOtrt7h1yn536fgdtBLrJDeuiXB83ADXuSUIaM/MA7CysshwYJ/BiePHAfjUpz/jBbrzPEPL4p2mOWVW1OLdr6YZI12oKi+aaiqDEqqZKTMfnLkkvQIeusP+/vKlW2xs2oTLXByxv2/npo6oh1dZ7uemxaSkIbTr9Z0h+35uUgTSSe60UF/vOtaBWZcoMV5Aeaso6QgVbGbGPtvZRo+GUMnK0njaxfr2AXOSLKscnj2JGQ/s359YXuTMkn0eq+vrFG5DKnNMogL2ZfPfSAKv4a0j7c+xsXdT/mbMH/vGPw3ASy88zvOXnrJjNas52bCb7Xxkx+kbv+07uPsOm9z82Z/5KS5fssnUs2fPcnzF0mB6w9Qnhx194G1veysf/7ilRDZbbd74wAMAfPJTD/vOT8aXIMqJjkGgQztWVTHgc1PAr6qZClOMQWmMXBMVKBFFx1R1Zy3lKLEVb3ujfZ9efuWWn5sWk4iDPZmnJHEQAQ3XmTCtfLJ0+yBlq+8aiyhOylx8YcE+/24rAtksFGXJQNanXJU0RXB3TjYQnc1D77NZWneCG/bHHJ+zx1sRStALw8p3pupGgd/EzrRjNseOumlvtxVEbMr82WpE9Vqn666KzvdiDanM54kJCNyrEMGbX2Pv7bfWHUdDY2QNnUxCKWVIOna+7bQUW1vSmtElHMpxnXisQiqXNCL0Gwf3jOwxJzYFVd2lyiYIjsCnDLbYpCbiJjVJlXTrYO33uix4+z12PXrl0hrrG9Z/5qOY3T17/7MzMu+MU6K2nccWk8LTeLb2RpSSnK9CiLT1hTMSC52Yb0DXNe4okbCJA1MRSwJhQb7b2jik1bXnyFLj457RMOWEJA4q8aXnDgtSiXUWGiHLLXs97WbIhqOty7g3dcShsZ+1Y+2fTKUgk+O5RLmh9qV2FDIyrklCwQN32+f/yU+6eKXywthlqev8YlWhg7b8PJgAtNSFEO2cVMc4f6jKAi0bduNF3/M6WRk0qDeZcKRzk9IondjEiHLNG5horFBaii4T15GXPHDerllbG33WhEK4EMfsicC186dslNKUJi0LceGbGGzsjrzUQa4hDu1zf91pSyU+t9iEVt0gycW9Q2NoyNy0IBIM7a1DWtIIajzM/WVmozGnZG46Ic//2SGMx3acG6FiRYpMTW2cGoGnO7aCmMPK+VPo4/uiNH7jf/b0eQBeufYSmfhhOwzYHUoipxHy1tdZv//AujTKmOjyi1G+AFyVJZVrlhAl9RvtaY71PGbMhB9OvPOlFB2COKQUoXwdaKrSJcC07Uhcvvo+pZQmbLRtrBTUc6S717IYEQhFNWjY+SgAHnqtFFMu3eTGTbtXmU9C9oRKPy8NyPK8pCuC76e7mlASUrsHqe/WW4aKSN6tc8vWp5YXWyDNA7TWvqHJCIhlT7ckMg7zW70JX8qkkzOMR2NOiy8Z50tjzXhon8exdsgpie86jYB1ieNcAr2pIw4kyTfbSPx6r5XiUGL38+dt/POxT36URAqIrzz/NCuLdo+yvXWLcyt2vr7xslBxlcFI860wjCgKFw8bJguAw+Gh/OyKOKH3GYXh8GBXPq8wnyPL0WzOUsl306xHuiPFIR1zJE3Ppza138GOkrr4CHCXUuqCUioGvgn45c/5zi9i0VwopZawVMbLR3hNU5va1KY2talNbWpTm9rUpja1qU1talP7Q2pHhugyxhRKqe8Bfh2bgP9XxphnlVI/ADxqjPll+d1XKKWewypq/iVjzM7vemAl8EqjMI4SUJkJmK6qUUKxo4kZPvuyo5KFLLZs5n253WRG18gKgLSqCIe2ojEiJJIM+Xy7SRTarPdeWjEniBUnjvj87ojXCxqrE0Rc3d0HoBmBlnMMpSr9+vtOMxAR6EMMuZx9cb7NgXwei1jrTKfBft9+FiiDFlHJcQ6LAu19+cBm68sAWiLqWZrUZ9azshbzdXD9qjIkDg2gFYHL2BeKZ29Iu2Shn+3t7XPtus0/3nHxIs+9cMmOmda+DXar1WR/22bsjXbiuqVHRqmgbtkLeLFV7YXGA4LIVtoMhoN9kXczFUF8+9++uqaEUqbqgmpVUwQAr9EeCuRdzyheObRom/n9jMWWrZIst2K6ghwRPVpKbQikQjbKIkJ5PnOdJrHQSPeykvmGq2pbX3n5sOJ1y1LpCQPWZWxbESihmx2O7XN/3WvPMDi0PrJtDFqe68rSDJc3LBUglOd/4cQ8e31bsTpz6qynkHSPneWYVOR/O7v00mNw1lLLWp15Nl54EYCTAp++tXEDU0j1J1ReCDrSAU/cFNrXtX9vh7efsr+/D8C73/0eHn/sUTs+ox5Xrl6ScUh531f/cQB+9J//X/azqvRVeB0Enir73LPPU4pY6dpNiwqKwpDlZYtsWVvbIIjsvZ09c4LTZy7w4d/4XHDpq2BKoYLEVtkn6AYOvRXGMYX4veNJqFbIM69Y2P1KPsOSoF+W2026gSBSpDpYKAgEyTRUEaGgO2fbDVricDtpyZz4kqsw3xyW3Ckghm4U8YoIsyehpYWBRXICvOG1p9mX5hj9XspAKn2tVszevvWlWZk/w6jFl/zRrwbg/b/8c+w/+hn73WbEilQ313etX1Ya2g1BAeVjSpmj03Hhn9NA5t1f+oX/wF/8vr8CwFe/6+v44Z/+uwA89djTvLBpx683tO/fz/70TxIKBbvbneGHfuRHALjn/vt553vfB8B/+Pc/zcU77gTgRfHbJz77JMdXLJRehw2Oyc8rx0+wdvOGe5wAVhTXiYdXCuUaZaiopqgdhSlNGDUosrSejrSuLwzjEU6BrEeEDZ69aZ/lqWrMkjS/WGwkzArdPhR/zExFJE0akiQmkwlwYabJnCCKN0cFbZkXV3fs+3ZQldwl6L52ELLVt1XdSFfowI7HIHP+dMrPTXt7KSMZrnPLHfYOrJ+5Fu1nji9y5aZF7A3GKY3AUcQi5uUZX9q3f1MFFtVl/6Pw6IU0qwW5XYv2vKw81aSiQgsSKBuXPPy8HE/QYeRNdGSvx1QloadBwukTFjXy8kvPwSQSSp5V5ZFgEdrTzWrf8RRsYzy9yJQ5xskuVCWTqJ5X1RQobamKXowaVfu1MXbuAh8VVkHMc7fsPV0ox6zM2jl0oRHTFYphIl+utEGLlMIQTVcEoRc6Lddfhd20ZFaQx5HMf89t9rhf4qZWEHFj281NhqbMf0NB+T34+lMMD+38t7M7JhdU04XlLtv70rxCGiZcOHWMKzc37L1VpUfwDlPj46bnRDDahIq2Q1CZzPuSQwYCnsJaVaWnVBoNgUBTx4OSx56W4wnVSOsF/9raWGwy3BZURDjn13ycD1LVgtBlDjpxR/HoLY+IN7lHDFZlUdOHlD7auckYjMml0cIEiswI4owakaMkjqSRcGXfvhf3FIesCMpmoZHQEXmORO4liDVmbNeDoQqYFWrywgwkErPs5ZWPXzKhrt4cw/lCYtIg4PqG9adGaGNxgIEg+h564AL9Azv/HewOPU1xaanDrsThkaCmzx+f48otK28SArGg5oMgZkHbcX5Omk5VgfJxuKL2vaTRYn7B+np/ILGSVj42S4uShoxVOiz41GN2bvIdm6oIL/+B9s2d7Fec/5oaITgBY/BM0qrAmAmaduHQh86HKurnqfB+GoSoQFOOjwAboRCkUkWZ2XE3VYm5rcGYHYMwsahx0+jwyqEIyRd9lkT+Yb6RsCji/l1ZM8JmTCIo9GGa+AZjcx1FKG/oflEyI/GUo7te2cu5MCcyEEpzc8euc83I0BS08dD50oMX6O9bXzrcG5DKvHBsucv2gb0nLevv+WMzXFt3CO2KXOa3ntIsOsqiMDBMAB3xpVBrji1ZxsLjTz3FV37l1wCwtWnjlW6nSyAorbnFRc7deT8At9Z7/NuffxKAQNDgZVZNMB4q1AS9vqY/a5SMj0dnmhCtHQrwgETYClmeez91cg7j8TaLgirb2qy8pMDkujO1qf1B2JFqdBlj3g+8/3M++5sTPxvg++R/v48DSxLFzfO68j/bxdUt9vblbC62+Pb7rQbA9Rv7nF2xC2wcJ8jcRihJg0ZQsi1UuSAzbEr3i3PzXXYESn+6m/AVr7Ubo57T9mjN8ugVuxAuL3RoaDtRXb25Ryoz50ggtXPdDknTTjin5zpsXLcT6GCU0u3az5XrxLM9ZF42v6rMCWI3WRg/IccSNAY5bG5Ld77jCalMoFY7wGk6yP0qg3LaKFXhkzlRmBCP5gB4ywN2c/jIpx7FucpgcOi1rFQ44yk9+7s7fnOvsWNW5JnXVLKMDMf9r2qqjXyWNJpkssg1k5BMAk/b6e0IIfhgKR2m7oSFMhPBxdhmlwC36HdaDb79gvWnVy4fcG7JBi9xFNKUh9JO7fMvTcGO+JNSinFpg5dzc112hYJ4qpPwVQ/YhNG++NPc4hKfvWSDtMX5Lrq0QdSNtV3GsokYysYzDiNyCVSWzyyydd364c3dQ2YEeo1sAMZpRNy08O9bN6/ywAOWgpj3t/iVf/8v7THufwaAr/vjfxIXLbVnWvzxb7faXVWZM5SkxNKy1U862O0TyAI5u5LQwI7ZTHuFb/0qq5X0z//hPwHg0Rcf4S1f9B4APvXpRxjLWOnoLIvH7gHgpc/+En/qv/+HAJy/814Arr7yPEZ8qzLKP6OqzJgTmkN3Zg6A0ZXLXLlqx3pp8RjbO3bT89knHuMNb3ijp7K9uqbQOqIy+HfLa0sAjXaLoej/BELLjDohf+btNoF4bbXHuUUbOMRJTEMSmm1HxVIFO5nTcIBtobOdnZthd1z70pe+xgZD+3Lqk6dP8/J16ysLc21iY5//1Zu7ZE5Xws9NXRqSyGp22lQ3bXIrK3Lm5mTzLmPX3zsgG9jfb+3s0FqxyY+sTNgVmPq73/nFAHzg4x/n8i17De98z+u9jt/zzz5FX+Dxbl956aVnefLJxwD4j7/5L7jv4msB+PZ/+Jd50ztt8nNp1t5DD8Xhnn1P9nbG/Og//yEA/qfveZYve+9XAHDnnXfwxe98JwCJ6EmdP3OGzU37nmxsrKNlM7mzs0erbd/n4VACVKWpJhKXrgOU7SR7hKBoU1HkqaUHyaYxilte80oFoS/qGAkiO4sx/8Nb7L1cu5Fx4Zh0CowiWvLcurK5yarc02YUFYfSPfbi4izbkuB88EyXBy7aua6QuTrszPPyNfssl+dbNIwdr1dWd0jlHMM9WYdmT5C07LHOznVZvWrXuoP+iLbQ92PZTLI1YLYlFOx+TiX3NhxlPllSyRwcGNjYsuc4drxJLom1KAr9Zt89G4UhSyU4Dwt06rqZVfS3pNCV2/nDKiLIOqZjShmf1z3wRm7cWJNxT2qaX1UnHtxaVhWp72KGCn0xyHenUyVuPbYJFHH8QHN0usxOj8v8DnsMU3c6lq673ZNd/sc32Y3ltau7nJ2znydJA1eXaQnlqaoydt06pxPyQ/v52fkuu0IZuzjX4C33Wf2cUjSv/n/s/XegrNdV3o9/9lunnzn99q6rYhVbsmTLlmXZYGN6MTUJpJAvLQklBEglARJagAChf4HQsY3BXcZyk5t6l+7V7f2eXuZMn7ft7x97vXvmGpMQouP8zG/WH7pHc+bMvO/e611777We51kzhSrHxJd2zVap+eYzTl9apy9raWfT+OXk0Z344kv76xUWLjYAaLZ7VCWxnj8H2VqXmvhSgRQnb7VJioRV2x1RDVIuS0Fo954Kg4EZh8AbdjRM82KFA0r8Y0CEipV8VshAJAEcpzocU7sxDbD70iwh7xKsSexhEidPjpp+1eYNkT2EKuUO6a9JrvGlGO6PUksj3NYkl3yt6bg4qtukh12F08R2GNSZeb6ru3bwj4+Ye1xdaLI/p1AHAYEkWatSICOL2JJkuzPwWZOC6b7JGqtCN9td9nndrWYf3hftxcLELFcumvVkx+wkIWa9vLywQT+T2CT7pumJKoEUKfdOVlg8a5Ls7c6Aquy5U0lwxp02RUm2FbLEdmvVOrH6f5KPQPVTLq82ADh4YII8lxT320QrOX1LkvFoSzeLVERBrnFAQmdT9stKCpCOM8yru8HI3iKx1Hbl+sNtLHnBeWRvq/U1nTmdXI9SEkHKDWyh1MSLPFYmwz3xtpjQFnPVmZECgeeHtqukI4NcLMK37smlLRwOz5n9QKkYUJb1JJSioKtiGnF+pnNY3TTzv69eYy3fg5cL3PmyPXIpkvAMq5yT2LRv1wz10Dy/Zy+tWKmX1opoyk1U8MWX9k9XuXrG7DdbnQF10ZSLxZeSXpOSvLfkaJwg1/HLCCRxG8przkBzSTo7Hjk0w/HTplDnBx4ba+Y7fOk0Ozk5SXPDvFaeKPOaO+4A4NSLF0j6AvpI8/PjkI742Z1ah0n0IUBiGFc6uPJzqgMSWR893yXV4jdp3hldsbZuCsqOm+LmhSk84mgszjW2z59tJ3VxbGMb29jGNraxjW1sYxvb2MY2trGNbWxj+7zZ/+2ui387c7QpZOfUktS3/6OzBJXDimvm9nrNHstSSanXQpbXTaZ/fhoCqdLkYuA6yfByQFiUMFkzlZ0w1UTSjaznOWyKMGVTRJeLbsZ6y3xu4MFC01Tc/KIHbZO9LkmWvhp6dP08u62Z3GEoeysrTdY3zXeEUiXa6GcjqAGHQn5tGirSEamzLCLPrktNYLn9bkRRRDnTLEUaTeHlFcEUEoF7J05GURANq4lmadNUrpcWDOIhi1KOnTghP3eZl24e7W5Eu2kqGo7r2EpA5pgKv1Nwht3l9HDCdJpcA7cHKBddkli6AWpQuQC84w+FoLfLHEzFIs0Fp32U0FR1HOCUxJ+k8tZqtFhcMFWL2akyG5sGkTQ54RMo6RSTV6PS1D5kbppQE3pgmKb0O6aKNvAdNqVEtCYil34xYUWg0L6TsNiRn8seWcv4SFWqQrsma1zeMtfTTzRe3Yx/a7NNQ74j9M01nmopbrzeQJrfcMer2TFl0BpplnLzl36jXOloNzdjtx24k117DcVseWWTUGgWhdCMjYeml197M+Kee94AwH1f/T0sXTHj+tRzRlQc5fP4w5+xY1+uGErQ3Xffxtd83bfY7/yRH/4hAO6806CCfuRf/wBtESwny/AFpXb7Ha9nfW0RgP2HXgbAk089hisUlVa7Y4RzgcmJGltbDSsu/FKbJjWoUtvBbEil7nZ75FCIQDqwpoWQDXnm56fLrIsvTdU1ocxvKlAnRzt4ebU2TqgKKjTIMvoCde+6hloNsNw11zDd1yzlvuRqrrZzX/JxJTbl3dDKnkNWNP4Tpxm1SYN0WV1rs9IU5J3cz/MLbfYfFdrlrh0kqflcz9F8x//zrQD8zO++Ta49oyYCvjP1vdzx2tcA8MKxZ9GxPCsSgxcXlnjfe/4MgK/5xq/hjjuML5WpcONtrwTgvb/9BwCUikUmJgzqpBj6XH+DQQSeOXua48efB6BWn+Td73oXMKS2ri0tsiiIrlJ1lo9+7MMA7NgxjyeQjw2p/G42GkPqm1ZD4Valhp1/t8UUKBeFa0WeU7xrC+syb6Gsdd1WytqaeTZnp8qsrZs5m66nOFZY1/xpUUFXEDnduMv8vFmHvDix/tQMFakIEOexqebDoiC2Ql+xIB2ZwlKAapnvzmkgkwWfhpsjExTTc8a3llbbrG8Yvy8EeSfFhETQMonjjDSMSC0Nd6uXr48eU2VzP93OgLKgd5IsQwniTYrjOFrTH+QNXRSeVLAvdVO0L+tTeyiwm4nAuOeEhAWh6bqKLVnrdBrjeHmFW+UzNaSUuqFdsxw1gtjJ0RHaG2nTOYJMR6H0S9fZ7BrL2fhqhDYyUslXyrVoOU8aDbSXOzQ2zP3Pz5bZEMHw6UmHQBDXsazfvnIQRgtqkFhkXiHTRO08NhVIJDZtyN6j4CqWxZeKgctCy/hSsRyQbZm/qwnyql702HJMPFKOYnLOrKWLKx1adp2TGNIakEjH2NRVFNMcpaeoiN90Fs18Vgs+03nX2k5EpTLiSzJPdt+UZcSydqRaUxZk6ulVbRkEn9tGaZDetcg9WZt0LGgfr4SRvAbHLxu0OYACnfUYNSMdnaNN1fC96G1xo2u+WWUo1LDbKM5wD4VvxamdHKW52CbeI/40XWYt3zfVsciqfMC9TFnKflWBm6Om0oykZ+a650FX9uEb4lc7ypoF8afAyVgeiU0I7bUu9Nl6pUijb+bd8RQTO83+ZnWlQbtrviMXwV/qpKzmDRhCB+mJQIZpcADQFTRavRQw3TP309zqURIUsRf4NIWuXZKmRGGgDO0LiJ2MggT3F5ZiCHIoWGVkzHNkVmznOktzCikCLc33+DlKy2XoDAoEFa+1YyVELOMjiewCMYpGHzaVeulNZylxbwutU8sKAW2RuWma4JbM2uS4xmc6DYf2hvl5tl6gsSVId0fjy2Enp+j7MXh5U5FBRK1kxrOQpqTiS31PkQnydEvQpgUyrq4ZNFXJh+WW8atCOSBrGF+YkrgxWauwIY158ByKc2ZPsrayyZZ0UgxGfKnbl/XczagWzc+ZhqLQLnvSSGWyHDIrPjo7vYtu18Ss3iDi4uWL5tpFfiBNB+SLSaPR4rHHDCr+d972PmakMQ+RmcfFxQXb+MPM/dB/bEdXNZRwydHK2ikSp2bcg6JPIvuHOHVwZNy1yqVmEstsgCJazgxGGWaM6Brb58/GiK6xjW1sYxvb2MY2trGNbWxjG9vYxja2sf2dsC9MRBdgtCaGmkrKtldXtkKaSdVwcmoCLRXIsutRkOr3TKVMc2AqPjU31wOJ2S1aNDGapmT5p8OhwLSbpSxKJenssslSP3byFPccMciUk1fW2DdlKo9xN0YATvSljLfUHKCl8tjv9umJiKujh1l/R3KQcyphIxexDRT75k0p6eJaj2eXDeKgWDDvferCmkUS1WdC8mJNCniCJImlKl/0PSIRLsSFgehzLDUVOpIsvtWJcKwGyszMTrxQBDVXr+DKz47jGC0AIBkYbZuwWLGtyrM0IdOCnnNDCkUzPgMZf9crEcWGXx4NBrhWEDixn7FtplODuhEkh3IzdCZO5Dv2Zy2oqPm5WRCER9nxKNRzAXGflmgB5EL/cZKyp5LrPSgaoi8xFTikuWZLknC+Zcb/sqAx3vnYI9xzwFQYTy6tcXja6H50mxFhzVxnR6qnL1xZo1qT1sadHk1BPbT7MSVB+OWIvl2qzxfd90YADr/urf9bw/RtX//3Afi9d/wRy8p8x5YgF49ef5gXTxn9gG4/pSMopNWGYmXJVKFe/drXAnDq2Fk2G0ZXKYt71CeMLxy57ibiuC33Bm9/p5H3+8EfMKLif/Knt3HsBXMjWxurOPLMnzx5nB/5oX8FwFPPGBRPtTaNJxCDSnWahcUrAGxuNfjAB97DoN3437r3v5lpyFKUi40VWZLiiK/gKKt/kQgSp17zyfKGDq5HOGl8Za5apB1J5WxEcHe3aPhlDmz1JL75MXnlzcsyzgpCbF2kEj56/FHuOWhi04lLyxyR9urd5oDChOhtiS9t9FOSXOy30WJLtNjSTFMTrbpQhG9fs6/AmRMGpXd1ZZ0pEZs/fvESnzhuEFeRCJScW9kilhLiRx/8MJ94yCCo4kwTigBvKlX5iXqRRsv4jPKq9LW55/c9+TTnz541Y1KSZyqOKBZMDNpotPjzd74TgBtuehlt0Zy6/ughdogg+tEj+801vniCTAJkp7GIrhmtl1e/7CY+9KEPAVCpGL+cnpxgS1ApE9Ua64L0mp6s0xbEQO9aoMVLZKa6qrPUom+yJLINPJSjbBOWXKNvatIjtWudS7Eua101ZFME/GclJsRpwgGJG7FSbAoaa953rSCtn2Usynrw1EXzbB775FnuO2K0lk5eXuGQxKZO1McTpGIk/ni1OSAVOFa31aUtAtNxoimJlooSceTdLpwXdEOqhwK5maM5JmvdrMTax8+u2LVuer5oUXYpEAhCLBFdrqLrGFEvjOj6QNBW5xcHuILMyq8R7QiqyoBT4lzk+uoCE1VznxvxYGTvMUSz5P6klMLJ9Uj0ZyEj5L04+e/VUIxcIVoo26FJqbB1TYsKGUJ+DBJV1mpBWM7sKNGXta+OS0n2RbMTZTZFTLsmovTxIGav/D4d2TfNBBGpzptqZFyVZ/zEgvGDR08+whuPGlTxyfMrHBBf6id9XImFA/n7hUYEQa7b1aEpYvJJnFmEDOJL+0LNhpvrayVk8hmO7/H0VaMTN1E2f/OJ00sWSTg7VyAe5M+UpiRopEjW7ZLn0c8FTdH0JL5dXQXTXBx0nDfg8a0Wk9ZYlK8mtUga5TrkaAonFG2vDLQyMU1nyVDjTQPkTIBcXwdrGjXiOWo4z9tiyihlK6P7Zi4gRudIDZ1alkRuUzM1+nmccl3CKXMv+6ZrLG+Kvm2uQZtm7K4KystRbOZo/yyy3+dmGZc78iyvmvH8s0cf5d6DZt90enmDA9NmHPutAcGU2Tvn+/Cr6x2U+FN3o0tbhMUH/YSy3TeZEb0u0FRmzPysNFusdYQVMlXhyasNAOq5P51dpi9IlwnPp9vNNW1TAkGTKdmQBZ5HP29CoKArWlunz/ZwRJtrOIvOSKwYIl7VSIMSnSUW3ZU3LnC8gn0utEqG05Wk9j3KdexnaUFp6iwBWUtUmgl4dbt8Sgng1LX/n69BXjgBeXzPpLnKnEMm+6qp0KEiqLnZasC6rMlTcsZK4pjdss5lSrEhzJy5gmvjQsXVLArK6sUFs2948vRx3iBnujNLmxwUX+rG4IuWah4Jrqw28YQdtLncpiWNx/qDlIrEkBwdep2fslqRWAu4OfTYc3hSNFEnSub3Hz25SKFk9iHnzp3muiMGsb7WOM9A9FqV7AFCB+5+/VsA8Ashqw2zZj731AU8x1yv0rmubWaRW6OmYQTxO2xMMESVKpRj4nKcaFA5IyodIjud/PyorHac1glZJjE6je15faxJP7bPh31BJroUhgqXr+PKc234/eL79hHI5mLHpIiEdxMyEbaMkpSZ/K6z2HYb7MlDnwUO3RzmnkFRFuutfsKcdPZIlGJLYNBtCWg37KnRl02642o2GybYThdDuvLdrggpdjpditUhhLvbNt+xsLZFXw6vVTk0lnxFJjSQdj/lzILZYPquYlI6ai0Lba1U8JF1AN9RVkDZd5XtchTI4SGINcgmP4kzEs8E09bVPsQiYilx0A0qTE3Vzc+kLC4Zmth1Rw7hBeY+Tp8+ne/jcHyzIYjjmLKIxHY7CY4jQS8bwrV3zJuuHOVSgWbT3Fuvm9luMMr1IdtumKuDYij0qVVGMGPG6633HaUoIot7p43g5crVlt1uRklGOZGWdkXH0mK6ebLVVQS5uGeaUZANxVaUsVMSYLHjWHH3vHvgDfMVuiLSrpRmY9Mc1GdKIctCIUslKZoNekSR+dxdO2qURVj8dK/HlkCzayIwPlev8MgnzEH+8Ou+jv+dQ5XjGPiz58De3Ya++qqbjcj3mePP28NfxS/heeYg/PQnH+c3f+2PAWisLAFw7+vfwGlJWFRrVRYuXwDgT9/2J6xefRCAZ59vk7MZHnjgNAAT9TkKobmPLcdh0Df3WalWeN8HPgDApQuSCPFd1peNnzabHVJ5BifqU+w/dD2njy39je/7b24aTYLOHHsAccpFKwz85jftoCBCz7ul41Ta6NvOP3EKtVwQOvMtXaYjmwztQpQfHlKN5LdpRSlzEgv6WtsOVK7QDa6br9DNG2w4sCn+MVsq0BqIYKscFLvdDqHQa/fvmqDVNJ5+7OIy3Z65Tsm14euMnsDyy75LW75jrh7SkU6weTKiUglJR5pn5AnYrU4fL++S6+ddARPWNkxi8qd+/If44q/9RwDsO3Avxz/zlPkM+SyvWOHIDbcCcOXyeSJJNK+vreIHxoEeeeQJK0AtTHMm6rOsLBvaZZbGdJuGrv3hj3yIRJ7nWGD+e3bNsr5uus7uv/EGNuT529jY4md/6j8B8IPfZ0TyX2rTOhcYljXJ8/CESv3lX7STojjarglpBLDRQZo7EScZxViarEyWmJDk4KIkmyqhg2vFozWhfNZKL2ZW6DhXWn30ktkw56K1N+2u0cn9yYOGrD/VwGcgCW4l6vG9TpegbHx9x2yZjqx1FwYbbEnyIBcPLroZOybMz2vthEie2TBwmZZ1ZE06m5WKvvWnUuDaJKpyhsWiPLa5UYKXH3oS2OjJwxmnpE05TFoqRWY34a7vWzH6ra0mnpsfJlNc0TfIOy1qFQw7m6Ht55lkXcCoKYWl7ussvkbL29DoeektVw645mSRoqSxyZfct4dAFvwDcyZRUB5keLaJjUMgcYV4QEG6QnfFv7Sr6OXdJVMoSSK/GSfsFMryIMvoyiGzG0kH6v11+jLPnger6yaZOlMqWF/yhKI+6PUoeGa+dsyWmGibMbyQrLMlSYqS3E/RyZgQH44SbZMCTpZSlaLfikhNVIsBWqYodB0ymQDfAVcSpHniw4szS+NKkoyVDfl5KwItgtl+LuDsDGUXdGaTEcYn8sTC8Oc8aa1xrZA7aHSaNzHwUXmCNP/tKAdy5DtM10W215SDxhk5tPZx5bB/7z27qJXMfmm3JL+nE9tsGOUqkDiUxSH1kpnXniQAIx3TFDrqTLlIKd83DRKmhN7VJ2Mg++80Me+9fkeFTt6wxdOsSwfh6WKBgYyjI+vCoNOhJPvenbMVWk3zHZcGAxqyH5sQalqt4NKXZ36ro6gU8u4YKTX5eUVkAGrFAOUJLdt1iMX3fF/b568ssgNeFFsas4/DciuPPQWyrvGn0S6pyhFR8SQaJk6TLsOGFkXbrdAmSLP02uR2nkxSI5Ittrsew46wjEq6xLYb6Utv2vSed5RNdDmOiyNj/5Z7ahSEyjcnyfTKQFPy8uSdg5bGMVkAxXztkX2X8n168oy52mFCqNBbsWaH0Pk7GfTFlwaRWWNu3Tthzymhr1hZFV8qhcRSAMjF8ZNej0CStPOzVapCwb7wOXxpouATyf3EmbLnxhCXSSkmLkpX90rRRwUiTeMpW3xzVIYr9+8K1dKNUh7+1AcB+N5/8e9498dfNO91fVKhcTtWSma4zsnCID9lQ/roSPy4Zoly8jg12qETu8/N5WpQ3rAZWaoNLRaM5MN2N8sY29hGbExdHNvYxja2sY1tbGMb29jGNraxjW1sYxvb3wn7gkR0oRzUiIir1imVg6ai7Yaaf3LnEQCO7jKCgE+eXOHjT18CYGfRpy9/2B5EliIYy79TpYBQkE7rrR6eVJtXejGzgug6snOarkA2l9YN3W5H2eP4JQM7zSo+k1KB6vcHlgLYz8XfM02/JZDZkkciVblSuUwS5yK/gv7SKY58Vi8Z2KpUzfPYM2GqYBdWDBKqHyX0RFQ3mA8tHJ8IokhoHMFwyjOpKrhK4Qh9UvecYfUnr9Ths7q6KdeVQWyqJ0sLV4lEqHj3rl1cuWrGWKfC41GKjsCIszg2EGtAKQdHmyrHmrTI3fRKdDtbcl2JpXhlycC2Ft4WUwrleaAyS710ii6z1wtFTCd8570GMTItUPqHXljgI88YxMnhWmD7SvdxQQRJY5nzyVJAKJWXtU5k4c1L7T6zgsI5vGuGjsB+L68YWsXeasALi2Y80rLHTqkaRv0IXyprnX5s72GlkaP6AppCT61UinS1eT1vgZ26AfM7DU1r4+RnmLr+nr/RMDV6V4kjg4DZPX0dDz7xMXO9F8ycl/CYnTQorlfdeR9bW8YnP/zR97O5Ydp2Z1K6XFq8YKs/ayuLNIViNjVd4r//mkFmvfd99xvIPXD0ghnr5559iq2mGZNHH36CQwfrADzz3AI/8eM/ZoZChH03N5fxCiYmJFGPHTvMPSeZxlPpiED0S2naQLy1a6v+jh9QMswcHCfle193g7lXaRRx/GKDDz5qUGhHJstkUm1sRRGuxKRU/q2XQosIXOsOq+cr3WFs2r9rmrY8k6cuG0Tb0ekSzwldJ6kEzAuiod8dWLHQntCr0gz6IlZfLk5YDdr5mUk2pC17Hh87OrXUr057QE8QGGXtsU/QtMcWzfcOopSBPBthGFixX1JNty3Vb/Fx13HJy9yTkxOUpT39Zz78aZzAxJauUH3vff0r+ZVf+00A7rzjLopyb52ox8y0+byLFy5y0003AnD7LTebmVIhp0+fAaBaLfPlX/E1ABw6eISPiTD9Cy88a/49ftbG4GePn0QJwvPGW17O4UOH2V7TBEHBVvX7cUYwKWhAnfBdrzX3s2vKvPbIsUU++byZ98P1Ao4g9RqDBFcQAL5MqmJIzbm82WVCUIatOGMga9UNh3awJFN1eck8x3sqBZ6/YqhGuhYOKSL9WKq80BeqTJxG9ISiXS3VbSV3sj7B+moDwKKDOjol7qdyn5o4p97gsnfK+FNzYC4mSjJ6XXONU5OhFdgf9BOaQrPP1zrlKmKh4zlKMWmRWa5lEGY5FDobaamuFYWCIE16XRy5D9cvoeU9JUGrtdrNIfohy1CuUO91iiMo6nxssjRGOYJ8czy0zsX6HdPcYFtC0xBNYivvaIr7BNHmxvzze24B4GV7DXL34WOLfOJpI3h83VTNCve3+108ub+81cpk2bMNGzaaPSvivdga2HXuyM4ZuvL+lfUGADvLnvUlqj4HZEJ63YGBhgGRULGiJLW+VC7WSQT9OjFRI4tNbCqFJv63dEwgyI5mPyISOlZQdDkkFLTVXCR/ENNtmd+XdlWJZV9EpmkKOihHihkGYu6XMCVC0nrgDMc1lz1QagTF5TIC+cPxRYA+y4YIPp0LQieWtmXQN7JvYoiEyJFdZh1Lhp813BSz/ZAu5DpzX3apHBLGQBF+8A2GZnVAaF6PHV/m4eMSmyaKKEG0r3d61GQPlSN6SqFLT57jZjeiJO9danWZEqTedbtm6Aqs8+paw3xXLeTFi2bNoRZyUJ7JqB8ZigZGyBsg1YqeIG/KxQk7WhMTNZqZ2b8UZB/eylxSEXGvlYv0JJaWXMVeoUSuCgKtFyd0JDbVqyE6Mn+XRZqeoBdToTZWAg9PkECe4zAv8VrH7gjqJY9jLlogyTruDbuKuB64skdOk6HPWepoKpRoQDvonPLoqmFTBIv0VGQiNj6KJDagn+1rvKIz8MOKRShqMqZfZmiDqe7ybXebBko37TKyC0+cWOXhY8aX9lUC3KKg9BwXJfuQVNa2mUpgn99Ge4Ab5L40YFYQVEd2zdCSfdPqppn7XSWf52Xf5EyE7JNnK+5HORPUoljjTNEVFNaesEqcS8jUq2yl5vPyM12cOZQK8l1bXQbiC7Ohz5F5c2ZdFNR4UKiSSNzI6FrUWa04xeK6QaFXcp9RDrWyGZ9zF64wX8oZHw6O0NKdHM2n02F7AqWxyKyR/xrL4438XerY+Kcc1/oSWo30OMkRnukIDVKBZxfbYawb29g+DzZGdI1tbGMb29jGNraxjW1sYxvb2MY2trGN7e+EfYEiujRoH1tJCjxy+YjXHZxjS6p3T5wxOjyPHl/CER2YbpKwb8ZoB5TKFVLRRZjMTDWmORiwJPpbc7Uys4LoeqE1YMdOaUvrupxdNdXtI1OmOhB6DoMdJpvubXTwPHMNLbCILVdQAeVCYAVLN9aaeLm2hVLUBZnRGZjKj+85FETYIK0U6Eu1op2knBcRzHkR877U7jExm7d2TSlI5T7LwM31SnLtIJWiJfM+SEK2LHqrjSKvRougdtykVjeVhm67aRFWvVhzww0GKXHm9Isj+hFSgYg6aKkk+WHBCj+iNZHoK5XKprra60e26mS0NfPrUTgMhYa3y3SqrTBpYcYHZcb/DUf2c7lt/OGcCCI/dGwJR8am1Y85OG3GPyyX0Nr8XOmb97aThAWpzsxPFJgXFM6x1T47J4w/Fcm4tG7E2V++0/imr4YNyQubbXyp+mxqbf1JgBRMlEIcQcusr22RSAVRe55FNbTltcBLef6RjwNw+PpbmTrSMB/i1v+n4/PcCw/zC7/68wBMTU5TD8XPpLrTHXRwBW2z3Ij41Z/8DQD+8kvO8W3/4NsB2LXT6LG98NwzQ8STHlitidfefTe/9z9+F4CLlxasJs6enaay9w1v/To+9alPAPAf/uN/tJXzyek5/t4/+FYAHvy4QeO84+1/dI1g9PqGiCdXikRJavXrXlpTKEehM20rYF7Nobtlxv6LD+9htSdoyA1zz595fgFReaXdjzgwXTd/VyzaYlg1Mn/TjiMWGuazdtbLzIluzPHViDnpdx4APRGKvmuv+azQdYl3Gd2dSrOLL1XlTQ1JjhAQ9EMx9EFiz/LSJi3xfXyPnTUz57kWSSl0mYylylkO6MjPvTTj6rq5hlxrMAgH1KZFrJnMaiO6jmMBpJ5UVB03IxR0yOve+C140lr8ppvrvMPIvTE7Z3zp8cce41v/wbcBMD8/yZHDhwB46olH6bQ7Mi8Obfn54x8xSMRibY7qhIHa7d45z/U3GDTLy1/xCpQgSVbXTIy/cPGqRWMkgz5K0LynTp2mPpG3ft8uUwz6XVsZdScnGQzMXH3JdbtpiNjr2kVTTX705LKN8Z1BxMFZE7edQhFf0HcFaVG+2u6z3hV/mipxUITeH720we0Hzdhk/Zi0b3zg5jkTq0PXpStrXaXZx5GmJhsMUVieoH/KhQAtCNPVlQZa4pj2HGYrxh82e6LR5DpMyhKSVEK0iHuH5ZBnz5u5qATmtWIpYHK2mA8RgdybW3Rt9S5fNxw1XDk6fcVKQ0TKewqiUQQMoBROjpZxfVu99ryAqNeSe3Ot3ki3l+soOkNhZ8clS3r29cyK87rDf20hfIigNvFqRNz7JTcjAmYr+a7HYM2MxZd/5T7agup87LRBCjx2YhFXkNWdaMChOeNLfqlEIvuQUFrb9+OIZdk3zdcr7BA9uOc7EbtyrVTlcm7JILivnzZzV/RduvN181mNLqH4TUsnQ18S1EClGJCJyP3K0qZFt2Suoi4on6bErsB3qOZidVmBvuzz2lHCVWkmMV8zMbNcCpiZy/WQNFVBF6WZtmArN9fIUxmZxIKNtsvSuqCqnT46zRvzjCL4cvFw1yK+wB0KfuOOyCflnzWKdhheg/GvUaQXGCRGrgH3WTukbdNUyi9oqN8G4JR9osR855cd2YPyzLWeFY2/p86s2LjfGUTsnjIxZDOCTZmfI4WcvRDRyEXcXZc758x7t9o9Ds6an0uOx5U1gwa8Zc6Mfegoop3m94XNNqFskrbSjL6wITxB2FfLodUJW11KUfJ7XI8J2afljX0KocuEbMgi37NI5nYMV0U/dfek2fu9uNFkekbEz3VKtSJNBhSUBYVfkOvK0hhf9p3L6zGXV3vyeoZS4TXjq7OULOkOxz/N/cWz78X1hzJtORw7y4YNMXTKEN+g7N5rxMns+mY044axSOlkuKd6KU05eEEJnWnLqnALVTpNc1FvuWs3qZM3sWgA8My5VVw50/WShAM1mf/ycD12mmZPHcUxGx0zVnMTReZE83ijlbCjXjfvTRKWhV3yslkzj4GriDG/d1e3KEo82YwVA3mWQ9lfl0sBWpq9rCwluOJLmedRE1/K9ZzDwKWeI0TLIb3EXE8r0Ry/ZK55V11i08EDLCwZ5PnGZpd+x/xep31mxa9y/enAVdx5x70ArG72ePykieOFUkB7Y0tGZdgARnk5UyYdIrNGYojOhkgu+3t3ACJoj9JYhX0ci3QfIv9GcTSDoY95LkqLb0eMbWzbbl+YiS4USmX28DF1+wTlohzOtMsu6dCy+6BZ8HautVi4Yg5e0xNDSt/lpVWmZEO2IB3OMhSJ7VACWyLWfGS2whmhhwWey3VTJsic2jQbvbXNNi25uooHayLG7LoObtk81E0RYu0nGj/fhEeJhTFPzEyQOfnG2lxDGHqkstmeLgcst4US5ytekM5F8xKw9lZLnBV60cRUYAV6Q9e1MaaSUwOSrl3Cqp7m6VOyaGbBCEI5pxpCq7FpR39q0tz7vgPXMTlZB+DokS/nPe83Iuf5hs7xS9QnDQ1iY33V0m/QaX62J4pkYY/b5Iuq4xbJ0q5894hY63aY1kYQOIvRQpFKU5f2lpmrhSilLvM2s8ssPgfWqly6JOM8EdCTTdrmygah3FdbxiBOFakdfYeGbHQOTVY4s2nu3XcVh4WasyCbu3a7T0MWy0nPYWnDbKYcz0HlMO0oh+A7RLLBT9PMdgqrTk/YTXMuaKuDIr4I3X7i/rdx8J6/WefFBz/9YYplswHY3Fy3+/cbdu4G4Ni5MyCb3JJe4fAdXwKAl/p2Q7Jw1VD0KtUCodAK6/VpLl44D8ArX/lKPv2ZRwC47daXceutLwfgxOlTAHzgA+/lS7/kTQBcWe6wvGT+rtdr8B3f9m8BOCPvdZTDpPjp5uam7XKUZCndTsceYF9S05AlCuW6ZAwpCsVd5joWopQDkpzbfcgkni6uNVlfNr4+X/PtZry71qAgGYuOCO3GKTbmZcCGdH7aXy9zrmF+vsFz2CuNLtYl+bmy1WEzP7C7GQsbcgh3HVQxF3o2saQYpTZ5mWXa/hw7LomFrAsdJFOm8w4wUfDoycGz5MGW+PGUULvmigUurZoYXJ8JTJdTME0ycoFegbYP0h6ZPFOPPfhnzB35egDe+Ye/i5L4mEmM/t7v+z7e8Y53AbB4+SJXLhqfCIICr7vv9QBcd+Qgz71ghFmfeeoJMy/NdTpC0byq+2ysGRpE6L2S5RXzbP+z7/oeAP7TT/wX2m0T3ZXSTE2bdaXd7vDrv2lok9tnqen+IGPkTU8RzJnnfyF12ZN3BZbYdGhtgiuXzfXXJ0J64k+9tQ3KQifbEJp6hmIgc5pqxYL40NHZOhe2jD/cMO1y05xJvp8QofCV9Q5b4luuo1mWv1Oegys0taY0KeglGU7uN72IVOhI9dkJUvGj/DCaKm079E0WfTqyQM1WAzpyqCvIAWFvtcS5PJk66YGIn7uuAlnfy7LWRXrYtXK65PHkMw1zPdobbuTzhiJqSMdwlKIoB6etzVXr9zpNcVwzB65NUkGcFxiyzHZd1FnMcP3Ku/EF2F3/NYLl5lC/rQkKpa1ItSqGOFUzX+daKfuNWzMvPxxsdLh0oQFApeSyJa1FdS+xzVja0mE50YAz3E5udMzzcnCqwul1854jOByVroqnNmTftN6lKUmzuq9Zkz2W8hwc6VaWi5J345Qg37X0HRJZ/yrTNZCEnOSocHyXfIynKgEr4o+TJY9nrkhXaN/49aF6jWNL5gA5PVuwQtGBO3zuKtJ9rhd3Le19vhzw9LN585Dq0JfyhKdywCYpshEqmUbn+xunaJMHlh5Ehs4pQzhDV1GjdLY8gTbstKhRw+9mGFe3x3IB8dAedv2d4BWNj1yMFLfmz/oOswYcPjDBpYsmNlWqPrHEeDfLkDQNmx3zHLb6Ca5QvWYqISsN86zPlIs8K8mO2/c4HJbu5leE/r7R7NGQpM6U77DSyGl4Dsg+PG+C0dfDJKrfT0jkeiuzdSNnAXh5/EytKgX1godEC6qh4slLQvUv1AG4fnqCZxdMAm5qJqQvfloMPPLmriWJTautjk2s75su8qlHpHGVqpDaArgkFLPEhoawWGAwyDvapXbPrZxh/Bj6obLJK407TFDqGCcXdLenAWfYPS/DJmT5HB36XjqTThlK4wgF06mUcCQPc7rZ4+CUeVbndpv4cXC9Zn2pXgvoyzPbWd+wPdq9/NodhyyP3UrREOrqgckK57dMXDgM3CTJ1JOyzm20IhqSRKoFLusN4fB7CqSZQCtvrpFogrxTcdQnyn1pZgIlRTsvbx7gusjRjJlKwKKc6WaK8ORFE5uKgbnfxtkXuSQNFapVhZZ59DyHnD85HcrY7N3JkUOGLhzF8F9+6m3m566D60lSLMsbpg3lENJkMJLQcsk7LJqtZj7vuU+4tjCTpRlOXlXLEvRo8wPz07ADKO7Qj3WGtmX8sY1t+21MXRzb2MY2trGNbWxjG9vYxja2sY1tbGMb298J+8JDdCllKmU6ta1LOyuaycMGVn+0VuXMVQNBLU2ZCk4hdIkF0ZH5Li2p4nTjlD2CENjIZfhijZayS2eQcKknGf/5Ak1p0frEpQ32idD9qRWDdOonKXPStjhVCsdCk6Ev1XGkSpRp6Av6oeg5BAJd7rR6BMUcNi90j62IejmnIyoCQUKcWm+xu26qWbnQ4pNX1qywoes5Vox1ECV4OU0xh8xrZYWoo1qICgWPlnpYYUKbmVeWSlifqNJqNeV1TUNEx59+7qRFDeUURKVSBiIe7LieLTA6bgEdNwAo58LYCgZJXrrUeMU5+TEmkDKt6PS/tKYcHK9IFg9FYdO2Zu6QqeQfqpY4t2Dm2KkJPcZ1LMA3dX02+0Lfa/e5ftL4wEaUCw8z9Kcotf50aH6SpqBonrrS4sg+c48nhR7ZiRN2C+0r9Rx8Ec1MBgk9oYjkVaokyIjEn1y0pSv2Wx0rlpwjZBqNLSanjGj8xOQsS88aKuCO217/Px0m31P0hXY3SFLrT5eWDBLGUUOh1OnDL+feNxvf+9hffJyVpatmqEcqOhWBXX/xF30Rn/rUpwF44IGPcPMtLzf3lMa874MfAeDml71Mxt3j7W83Varrjl7HlUuXATj1Yp89B18DQLVuROen5/YSD4xv7jt4lN17DKXt3OljXLhwjkxEhl960yhHWcQSTgGZOo5MlDkhdONYROejOKMj7aUzp0BzYDyr0+pyVATGG3lPiSQzbdmBbpRwUZAOh3aEbPXM3z1xucFNB4Vat2Z8qZ+k7CpIbHIcHIHuZwn0pRKeSkUvCIZiy57GtrAOlEOkc0H0vtwpll6qXZeCb2LL+c0W89IoIxQU0YnlxlDkWTloQYINyPCkspjkyADXs0iycMdBajvMs9jZ2iIU6lq3bRARf/a2dyDMOHYfOMrKsmlc4HkhVxcMdP+fffd3cvfdpunC5uY3AvAbv/XbnDlj0H+9Xo9f+7VfBmD/vt288pV3ADAjqN3v+o7/B0eqmD/7cz/P+uqy3EfG+z/4ANtmysEJimRZiiMCulmzzeR+aWJR9ji7ZHz8uqqIQHsuuRb2QHlsNs38xr0ekyJi35N7SWNNoZDT9BQvrJoxfdm+IqsSY7baEYeFUvrikhHm7cYpO8J8rdNoL0fqYpGwmSBsXE9bumJpZK1rNgdUBP2ViGxAe5BYQXc8h4r4xcdfuEKocsFm89qlzRYdoYJU8K2fdXuxfU+sc7qOQkkJfTNLLfrLScrW1/O1zvE8W/5TjkuxYMa9qVwyQX15QWpRurE8u35QRClByulUaD+5uPYQLWG/a0QU2LZ5d0fpbS+xKQyay3WG1Lg0YWrSIEtvmaty4opZ5yozZm4D37Fzm/kODRH0jzpNrqub96zl8gaRxglE7DtOuCRIhwNzIVvyd09fWufQPnOvLy6N7psEVZrUPYCuAAEAAElEQVSkZPnYZ4p+U+Ji3pjGV3QErVx2taUNdTsxlXx9TAVJ2IuYEkkHz3UoiQTF8eUN9stzXRU066fOL9pGGq7nGiQX0B8kNjYNLLLFsbIFi32FU5L731IMUVb5TQwF4a+RetbKNk3RgHJy6mGOxIlH/kIP/YMhWjFvbKDwLBpHOd6I/yiGfrdNphRaD1FG0WLM7G0GXXKwFHDyqolNt00IBdl3iQRNlHk+a4JG3Vhvcsu8xPg0RzE5VlakH6dckbVuftJF+gbw2Pl1rttnGAOnpSFTL47tWhdpZdCwGOpVJBISqfhTkmR2TVKuIgzzfVOXqqCiczpppxvjSexyA88+36eWNjksVMqa7N0/cuoyLYlN5YFPSWJsqxPh5+u3xLxSMSCVNf9cK7WgyKynsbAfN29W4aKVufl+1LPC/WgHJ6cpXjPvuT8N9++MoL/QahgLRtF/Ofpf6xEUogN6lEj7EppOydIWUMD3RTalO2C2Zubg1vkpTl428aI8aXypXPSHeuZBQEP224N2n8MT0pAozoX7M7w8VkQJV4Suf2C+REP2P88stNkvaKmTQrUdpCkz+V46MxRpAEdreltmrUxk/FJf0xXIX8V3KIov9ZodakKRTgWV3OpFzMj+qBD4lAMzp88vrHNYUGVliVdPr/XYFDT5/Pwc1x82zW+efPZpitIoJd/bp1HGi889BMCnjl0mFh/LEt+iI11BD2qdWOkPpdwh28bR6FxpX38u1JUe+op2bDxCGfmXa22kMQIe2JhlKPTyaWMb27bbF16iKzfHsToZaEUgEMlLVxt80z2ms9mjT5mOcDunq2xJh52N5oCObGp2lgLW5cB0sSlQ04LPhAQZr1pgvyxi1XJILzUH/f07pnj+otH/mpbOcJWy4uhOs4F68sUlCl7eKSgi8PJEh7le3/OtZlgv04TytM/PlnBlwbrSM1mdiSCwVIpQQVv0cVzH55J0B8k3OoHjsmefuYY4SmgLfNZ3HNvxrpdvinSGI5/bczzS1bzrjSKThc5xpSOTzigWzaYxijNc+aynn3qc2fld5j1JbDc8FgatNbWqaHD1+nZNzdKBTYZtSqLMaAUIZSSoWE0BnUX0etuVlAB0Rhb3zOZU4nphwiHIzLyfu9Tkm99gdMg+/RlzMN47X7Vd4zYbfZoChd5T9lkTWPyFhmx0CgETokUTTJTYJ9SNWiWkL4m9g7sneeGSOTxPSzJ0fyXkZbvNNTx5fJkgP1ilqT3Ibcm4pDqze2vHUfiywM/PT5JvdhYEwl91FasrRu8mRPOut/0BAN/91ya6zAbj0sUzFo6dRRkJuWaYbJqyhN07DI3RKdSZL5pr/7Ef/U/8jz80wkpPPv4ZALrdFrPz+wBodfq8+m6TpDr+wnNcvWzojaVyjR/+we8z47rXvHdl9SqNLbMJWV5eJRXtqpLnsrXZMO9ZMRQUx/O58YbrAEiSmCuXjM5BuVIkDD368XbQgzRkKVmSL+wQVgMqgXmOLl/t8g+/2MSmp58xyb8bD0yRyiH76laXptDK9lYLrLTM/V3cyvWOPCZr4ku1MgeEQlevFolSoQrtnubFq6Y75pzoqFVriqM7jN89e2IZXzbIcRoRutfGpnjgW1/qAY50a901HdKRhO4V0SQpO4pENjcFx6Xbka6lKmAhj02SVPGUw7zQ6+I4JZPNUsEbgor7slH0VUoykL8LY15/y30A/G79DxkMTLx+1StuB+DIdTcwOWX0urqdBp/65McB2Gr2ecef/xkANx0Ydm197DkzNk8/+ywLVy8C0Nhs2x1XKfS58/bbAEgkDp4+8SJ9SYwqlaIlIec60OttR/Y9Nw1kOI4ik063hWqdqiQGLi92+ebXHwXg0UfOAbBzvkyza571RqNP28amgJYUHU6umt9PlEIm5bM6ymHfbqOFFzsuRc8cFg7vmeak0HCmRZvxQEVxeM6sB8+eXCbM17p+jO/kGjxm7BLPs+tCD5BcKLNzBXwpVF1eE+qP69mzXUH5nF4VTSw34Io837l+Jhns3F2R3ysylVNzke5z0LfyM4n185VOBpEkTnQbVJ7ok2TDCFW+WAioivbL0mKCEl9N0gjHzWm8kgjCHaH/qGGygwQt2Zs8SW0OFSNFISuPkkgnte2iLiqzrubaV9UiJUlkXbja4e/da3zpuadNsnh+vmppg5uNgdW/2l8NWRXa7wXROysVfCaEt+/Vyuyqm9g0MVGkl8emQ3t5+pwpjEwHxpcqVcV1O4wvPXls0WrzxYPY6jkNJCES+wFO3n0UZTX9ZqdCPCf3JfNde2tlQ70GChlsCSXSVS4XRW4COayGrsfhAybh1+9HlhIWeirPt9tO3c7If1f6MbqVyzuMHBBt58PRlIMeUhTB+ofCsR0WrY4SDjZppof0R7T+HK4xQinTwwPk8HO20zSkkb3vcNqnIPu61dUm33yvKVA997wpOMzMl6nVzPq9sNm2nelmS76l4V/aku6XoUtNOi0GtbLVGpyqlkiumDX+wK4ZzgnltC5r2t4JnyNSGDl+es12vI56A1xJ2vQlMCR+YB/TPopEYtb8fBVfaPQX1sx1FXFIk3zNUlzdNDHUcQLOSUEpp3QFrseeHaF8V0RLkqRTE4Vh8k7WVVel+L557dLFLmkn1/PF0ieH+kmgo1yjy0Xn2oOOO/QtYQECI/t4D7K8QzdDDS4dk8oZyrGdeLVN6KOcaxIRyvW3JzQphXICodWZ+y/UHfyB+fn85Sb/4D6zb3ruWRObpneUmJ8z+4n1Ro+27F/2VgLass5dboiERylgQsYyqJbYUTM3UZko0peunQd2TvHEGbMnm5T1rFwe+tJzJ1ftOS7pDxOWfdFwSwqOLYb1NERSfduxY9JqY+a+tK9SsLkiL8loNs31+l7IKem6nq+Z8UBzZL+JTd1ujxNnzD72jfe+gcefeBiAYsE8GxdXljh+1uyfn1uOIRF6fRDYQJTPp86ioR+MOg0jidBrkqYjkSyntipsgizNRhL9uWnHStSMasMpxUisHNvYtt/G3ja2sY1tbGMb29jGNraxjW1sYxvb2MY2tr8T9gWI6NJGqFODEqqgk6b8i72mgvgd3/OVLK+bLPux9zwLQOvFHq+5Yy8AT26ucvfN5mdfa56/YKrVYcnk/OZrVQsxVf2UnoilR92ISCgYz55dQpCg7CqZIazVAp4VeK3j+2hBZoS+ZwRyMYgrgHaU2c55Nd+jVMxpaSkz0q0lSk21YqvdoyJVzkIp4BZlXm8vD6/njNDdirWQUJLqhsqWQ9o1OfI+kKqWq1wK0jnr+bMdK35K6qAk254LFJq+h1KJGgzQOq9+J6yuGCSS4wZoZSpwOR0mS2FyylAQl5ZXR1gZCiuhmlcVHBfHr8j3Ql7xTtNkBJb90pvjupQnJojTAYPYzFnguvy7Vxgf+Zbv/QaQ5m2/+qePArB1bJH77toPwMLKMq+71fzsZSnPXjAVxqBsxnDHRAlP5WLMAxK5l0aSWWHtp8+tUiua9+8VKufkZJEnLpjqjuMp27msUvCJLX3BWGOQ2C6CNc+jXpFKTpIxNWnmJEpM1Xxps2Nh0W65wC3SpObDf/Y7vOkbvv2vjM+v/O6vAvDCiQv0pOLpo23DhlAQDa7nc+Coqbo56RRf8ubXAfDIQ09zWihi3a4ZSB31eO7pJwF43evfxDv/1KDK7rjr1fSkmt5sbPKRD5sOisdOnQdM98+c2rS+uoIvdKXUVdQFOZhsmvHv92OWpMNXq7nJ7t17ACgEIaHvE22L4LMWaoAGqQin/RY//kqDlPh73/tWEkFA/M6fPwPAWqPNvXca/3lsY5l7bzsAgJtpjl8x8x8KVXD31ISFkzuDmIH4xGacWkHgZ84tUy+bcdktdJ7pesjTF81neb4H0hEuCF08Qbr4Qo9oxplFfxaVQ1noGmk/Za4qHWZ9g6A6dWWNgqA4wqLLLfMmNn3m6qb9jEurIq5aDSlKeS9Jhj0vE6XJ8qYZOborc/jqb/w6c+3XfTn/7x/8CQD1+gRBwcSTuqC4fvfX/8M1M/BlX2forP/qh36YoyNIrvfcb9aCH//PPwnA888+ycyMofDefvsrefWr7jL332ry9JMGefhj/+UXAPj6t34DjzxqKAFf81Vfy7ve8y7AIF1DofCJTvc2WIZyA1xB1IZVjx+/xcTtr/veb4CGeddvvP1xABov9LjnDoOAvLrc53W3Gd9K+pHtWFWsmnmYr5XwXRn7JLUImAxFpWjm/akzy9RkbdxZMq9NToQ8d1Uqz76HlpsPfMc2URG3oRVlpDLbFVdbGk/Wz5iYNj8f3GEq1ldWtyjJWucXHV4xb+55/ULHXtvpRbPWlWohoSAskiQlHKHgpOJP4tK4ysORLlZL57Zw8o5XvQwt6G5Lwchi/IJ0BCwWOHPqhJ0JPUJzynJhYfk3zdrDbo0qsagypXyUW8g/IL/EYVfhJDYC9GAQIaOd9V5K0wxR0/J1tZkyP/maHQB84/d8HYmgaX5f9k2bL3S4764DAFxZ6vHqm00M9bKU52Sd80qCjp+cIMgpoYMULWtbs5EhAAkeP3mFMMx9ycxBvRbw3GXxpcAn6xpfCj2HsvyhLIm0o8wi98qOS0X2TUSaqRmzJzmww6ASN7Y6zAo10S+53DZj5r+32qQnDWGOC32yUi9QyptupJlFm4bKsX6Xo8uU1mzGZj5XFztD2iAj9J9r5OGHrymL0tLD5jA6s74wpDAOkRGmk/UQVaFGkRdgEF+2zZ43BNwoPURbsE2mNSgHJZ0Sw4mAn3jFEQC+4Zu/jK4g7n7vvc8A0DnW5zUvNz70+MYqLz9qaIehhvOC3iQw9zpRKVES+heD2DZWaqQpNVnXnj69wGTV/DxfkX1TLeRFiRGZp9DRsDteUdY6CUE0o+FaV3IcytL8IBkkzE2IgL7skS8tNUxHYqAyEXCDnBGOtbp0BdVzTPypNlWmmlOiHYUrMgXdXmyRPJmglUoFh6bsFRavtIcdOEfBMbn4dxLhCFJeZwnKMX6olDI6BECWJjae5ELhWqcjNMeIVPYTygvtXj/32SzTVhKGLBWEKYbCqD8LsfOSmaFW+mEFJIZWq4ofu92sz1//HV9PKsjSP3zv0wA0Xuhz7yvNOre0FvEaOdN5mebY5QYAfsnM0a6pqu28qwax7UbZbg3s60+cWkTAzewomLGqVAOOLQhaz1cgvhT4LiVZ5/IQ1Ioz+jI+FUdTLeT7v5gd88aXrtthaL3LG23mSyW5Ro87JDb1R2LTC4smJtYmi+wom98PEs2VRYOO3HXlEluCbu5LZ+yo1yEqmn3w2uKq3ROifYv4y7taaqGiglBibYOCka68ZHwuCJ/n5YjAlAyRpsEdEaPP0YMaZTuzMhIfnZEIObaxbb+NEV1jG9vYxja2sY1tbGMb29jGNraxjW1sY/s7YV+AiC5lWpYqUCL4fv2BGudFl4TSLJ/4ywcB+Ka33ALAOx94gcayyXp/7b3X8fgJw8VOOn080X9o9cy/7XCAksprLQhZbxlOfOwHTIqwd9FTRJKLLopWx9bWwLa1VWirhVXzXdvCPa/oKaVws1yjKyPIxXr7A5zYZMvbW+Z6Cz4kIsCqI01XtGJu2FHlpLTonpLrWmn0mBdEWCfTVpMgSbACgpHo4JR9CCPzWvdKZIUJdZbiSF/fvCqttSYWDrxpBJDrZyVMzRrx70ZzCyXihz2pyl5//S04zgi3OxdHjHu2UpS3YUdnuL6Ir0ctVCbfB7CNfO5Ma7r9CEVmGwHceXSKBamsUJzl/e81gtN/7ytuBeDtH3yODRGBfut9h3n8pNFrGzR7eFLda/bM2LW8YSVsb6VGQ8Ym0iGTFTPOvtJoeRILgSCWNvu2hbujFF3JSZc8cHReqRPf62e2CBx72jY68Ls9/AnzKX2piHkK6wvOoE8rrANwy/7dn3N8kthUWmemZllaMveZJDF5LWaQ5gKcmuUzxwH4wAdX+OCUEZJvNLqsrxhdFp3msJeMHTuMrsDb/vg3mJww13D69Cm++7u/E4Af/sHvpT+QKq8yqJkf+P5/wTv/4t0AXL162epLNBtbtinCK15p9L7Onr/E2pr53qTf4FSrIWOpcbyy1cp4aU2B45mKvYjG3nhwF6clhuBMcP8nHgTga998EwDv+sgLNNdN7PqmN93Ap54zulHdrS5KEHR5bGq2e/bZO1AL2BKduMSBSWlYETjYqB4KWmd5rYMv1TRfQVf8p+I7RBKbcoSK4yiL/uy7Gld+PxnH1EW3aaVl5nEicKlI5XK106Mn17N3qswF0b/J0YOt1oCZafN89wbgyfOfaW11HPJ26mXX4cte/1oAfut9x0A0N2688WX82L//9wC8+hWf21/vussgs954995rXg8F3fGLv/DTAPzLH/oRfvkXfwmAQ3vm+NCHHwRg9+49fNEbTIvub/9HX27+WMH3/ytzDb/4c9/HD/yw+ey/fODDzMwYZNmnPzpE/rxkpoxotdYZfsWgm24/XOOCxBj6Me/7iEFGfv2XGD2cd3/0GO11g6L76tcd5JkzBtXYb/aoiM8vd0QU13PI67f7qwGNjvHDWIEnqICDUxW6gl4oil+tbXRsDPKUpic/V33HrnV5zHOUIgdNdVVmUVjFfp8wE39oGl/xdUYSme8KPG01CG/bP8V5ec+UxMy1rR6z0mymF2U4ska4vkJAdnRb5rMqgUNBNN/ilgOiy6J8DyVRNhR0+CAasGOH0Z3s9gcWYaD7DdtgQlO0ekq+oI6STBOKOHC/1xnqkSsPna9lKpah0egcgeaGNh6beO5uW5nbfI3GlSYnh3eXOCPPMn6Njz30KQC+8j7j/x/81Cm2RM/tq+89wtOnTfxPu33KMs1ronfUGUR0umZM9uwaansNdMBUxYyLS0Bfxq3omrHY2OxZlJKHtlpYxWt8KUdNKauP3PMyCuJLpUGEn5jv62wZ358IXTJpFECk6coe6siOGi+IjtdUycz58nqHfaI51+lGFr0Vx0Ph5ciucw5zFUG/dDyLwAH9V3RnDFJrFI1lLCMd6pVmMudgURcGg5WjtIbod002RJCpQP4mJQ+gjjNEZqAdo4W6Xaax3+uJ+PcNky4X++JP9WkevN80mbnvroMAfOap8zQ3zDV91T1HeP6c0QoddPo4stbJNBEnGRt9M5dz8xU2mmavqytFdk8ZZIzvBHRj82wVPTMuW1t98i2n0tCTuSx4ioGg89Jcu0oPNSa7bkbB7sP7+KJvtLVuvtdTmiwx/tRvZwxE+3CuFlKU52la9uFrjR4ze8w1dnoRBQlIcZRY4GjuKRPVgHquQB/3hjEm7aM845N5rHG8YPgsKI9cVFbjWdF45xoXHNH20sPY4wYVeS0zHWfA3pvpniST4Ia2YZXOFI7rb4sYvVIOjlsGFCJ5zC2HSlyS9Qg/5COfeQqAr3iDWec+9KkXaa+ZNeErX7uf588aX4o7PXzZu0voYqvbw5EN8v5alQ3RPh1kBaareWzyieTcVwxk39Uc4I6IW+UsgLKv6Oesihy5m2HF2LuuJswEFTYY4Kf5PtV871TRs+OtBhlNWeeum6vytJwrZtvmtcWNLocEVdjuxjiCJHvi6afsGjuQM1TZ85gUtFrWTUGuQaPsepQ3AVIMtSBN3Bn6ynCGnZEGUkO/y8+jnq/Rcc4ainBlz5vkJ2GtrvnUPHY5yiHbNnTg2Mb2V+0LMNEFRhAvw5HA8s2vPEQiHaH+4I/vt4fem19taBtf8bq9PPO0OfR++qlLdOSgkMUDKhIBjtaEllPwqYdm4VJpwpTQGLxiyEC+78x6g5eJSP2SLND10GPaM+8t1RQXFmTh1hmiDc5AOoP4gUdXDpZxrFnumaDneC7RsllYc3Cn53k0pYPRueaAU2uGMjBRDCnKqrbWNwF/fn+JJN+Au8p2hnFwLGw0yGkSO6p87Pl8cSvgiIhopgbDPZbsxnSqSWQTEBR823FKubCxYcbacZWFWOeL4/LyAoM8QeYMu/PoVKNlE5ZhNgFKuWQ5ZdQJh9eAMt2Etsu0Nh1IyHC1WTD+8b23snzGLJzv/sP3ceWK2eC/4k2GmvfVrz/IU48bitRDzyzQlYUqGkRMC53u9jmhTRVCpgQKrXRGVeDkfujTz7vtbLS4fadJ/Cx0zWszJY9Z+ayq73Dqspn3CGxyYiCL1nS1yKaI4De6EU3pJLNzukKyaPxJ0PMcmKnSkeTuC0sdfuKnfuOvHZrnzj7Mhz72QQBWVzeYrJoNUrOVcN+99wHwzJNPAHDfV34pUWAOSIfuqPDnf2roXcePHyfpC7W2ZP6+19pi4fJF+z1b64Y+XKrU+Xc/8oMApKliZcW8/nVfa2hsH33g/Tz00d8GzLL89d/yAwC8+733Mz1lKCsnTrxo7tcPmJkxNLfV5YipafNzuWi68alt2LChlNlpKsd2efvHr7uJVGDo7/zTD9AS4dH7vsTQGXXa58lHTdOMh56+zECSWlvNATOSJLp9Tii9oc9kaPzK1RlloWJ4vkdP5nShM+DO3caXVuS1auAxJZSwiufQ6eWH0JS+XGcqydEg8BnIATEeaDoC1+/GGd28s6fQIObqZUs1PbXR59ymuc9y4FGRhO15eaandxWI8wMG2K6KKIUrMTgUPviDH73IsuyQvru8Tv/LzOe+cOoiv/JrvwfA7wif6bu++7u54yZzqOhpOHrU+OA/+s6f5vd+81+bazsfc/Q68+wOpHNofWLabmI/9fBjlCSB8kVvuJ7LV8247d1tvuPnf+mdfMe3fyu5VcrmAJJph9fe9QoAPv3R/8FLbtpsMDWKtGOu+zvvey2bJ40g7/ve8xjLS+YZue8rTOI0jTs8+6Qp5Dx+bImWNGFJo4idcrC/fU6ozaWQusQm39EIexrfG9IQXlzd5I5dhlq4nHc5DDzqIrBbcRV9ed2sdZIAF7/xAp++HLKiPvRkLcumq2SLZu1IJI4FoWvXujPNAWc2RGi6FFIVuuGG0CSndxeIZQ11HW0T+aVSQK+fN28QOm4JHr1q/s7xHeLNvIjiWjH5XKBaKYf1NZMcjJyKLU65YQlHNv1J3MULjQ/E0hAjLFZG1i/HHoAcR5FJAkTrnKafkR8BHCe1iWWUY9a9bdGi1yhHozMHJWvyt73qIKw0APjAOz/MxpqhXn3xVxpfCryIZ54w+6Ynji3QkjFO+j3mpLPdXULHST2HaelQ6aWJ7ZJZLgT0hWJ9cmWLm+fN+xelsUXFV0wUzWeVKwUuyrOX6JRIYlMsew8/9OlLbOr3NN3ct6dr9KTDX07eC/2ApqyJL272Obk+9KX82tYHxif2HqwSp3mTn8wmcY2AvBm9gqzFpzYSLl0yiTIduUPpBa0YsuGHh7g8+aXQaDXMQtiuicrFyTu32a7Vijz5pchGGuIND6fDToyaYeMDZRJfACob6Zi3Paa1BtchkUZO3/qqmwhEpP2B93+UlRWz9/iKew1dsRSmHH/W7KWeenHRNvTptTvMig/cKJ2GM9+lLlyygqMpydqQppolSRgstge8bNb404okN2qhR0WSzxO1IudFTiTVmr5sxGP51w18Ukk4DAYZV7rD2BRdNXuWfJ/gey5Nud4X1/uclbVuqlywBclV2YdPzRQYSBGuVvVtg47Ec0jyznxVc28Xuz0eekSohMUSWhKBjl+y3Q/Rcl3pgHz+3bBAJhUE5SoCWd8HUWKpeTlV2oh/5wmJkX12XmQGm0DJoh7D5geZ7cqotEjGbFMWXilDwc3PDm++fp6yNN567599mHbLjNEb3nzIXK9uc+wpE5uePrFKS5JiST+y+6Y75008SkOfWanSODoldPLY5NOTM9np1S1uloY9yz2h2gceVTkv1aolzgnFOgbrS0nuS+HQl3q9hI6sY3q2RnTZ+FLeSMP3Alria8+v9TkuzaGmK0V8iSG5L+0/WCVK8+IPQj8H11EkQg3evdMUZp5f2OKph8zewAkDsoEUcUKfrnRudNxhF02th2vecB4+Kzml82RZHtNim/xKE0XeVEyjRmJdTvEfFlBNYlySqjqDeBuT8GMb22fZmLo4trGNbWxjG9vYxja2sY1tbGMb29jGNra/E/aFiehS4PouR15lEFs7J6qsSUZ/dXWT+15l4K1//G4jKlwh49CkQUU0NrqUJKu9kTjMC+XnilQrJwu+rXQkwGzRZM03tSaV7P3tcxO2WlYXSkkaxbZy2dIJFUEcrDb7SGGZQsVUcTLfQ0fm7zebfVvxWe8lRCLoqnPx00TTlip5Y9BnQ9A6C80ul0XA0xdh19DxLHzWVYq+VIQKnpMjounkla9OysQO896VK6kt1DheyBBKn9OaIouqSlJNURBvPTwc8nJ0ZjP6fsGMdaVa4+guER997BEr1usGPmkkUHTJ/us0IrV0RY0jiAHcCbRUNLbLdKZxfMXuW821hm5IQVAbVy+v8JVvvB2AX/1jI45eyRIO100F8lQXAhncJrBLWmJfkopOPQwsamAQZ8yKXzQxLa8Bbp0qW2rZxIT5+yRKGAjKIBvETAg8fqXZx8/bWIt4qg48BjKB7XhYddscJCRJLnpq3rveirkqlfCldpef+o//AoB/82P//a+My2/+9n+lIPOwc3aSgfi/zjQPf+YRAO68w1DFJqsH+OAjRqx/Kt7D+poRzUzjtvWtniApw3LZtijWWca+wzcDcPbMaW6/3SBkmpsNK3if0znTap1/9v0/C8Di0hrzc0bM9g33vIaz500l68LqBeSDRcjXIARzKk1zqyHCtttUmfQcIOXQ7QcAmK+U2Kia+15ZbvCme839/fLvfRyAGhnXzZhK4mPLLUJB/MWuw7T4yrJUkqcKvq28DpKEaalSNpWylK8bJ0q2YlkRX8qimFZXRP4HMfXcl1o9fBmHUL7LLYYglPD1Vh9XkAyJ63JVqqqh+ER7q08s1fMUzZZQxZaSLitCvfblGn3l2Njke4pIKqmh55AXGVPx65/5ze/jR77T0AqvRAMmZgw9+jP/48/4kje/EYA1QWi8XNBcAE8+tWHFwffu3WNff/ufvZ2ZeUMxvOE6Q6P5hZ//BW653qAH7rpjF6OWI7lyu+WWW7j/Qw/IZ21x56sMPTZJNb8o9MdtM61x/ZB9rzCV7LIX0pM1Z3lxndfdfSMAP/+7nwBgQmccqZt5P97R1p+arsu0iDtflti0o1bGF6jnoB8zK9TtDQ19kQI4UikgDFjmJsz3JoMBDXmecKAq68Fqs5u7DhURjHaLIUqU6debPXxBA3ZSTSKUDgEFEqNoio9EJGzma12jw4VlWeuKuUC5aylKnu+S6lweAIpCp81p+kHiEAjAth9HOHnHliQc0vPjHHns8Lov+VoAbr/95fz0T/4X83tSi8gpVqeJREJg9z4zL81Wh3ZbupZoZYWisyyyCC2LqtAiBgykacBQLlyxbbVH5aCcAOVmHLzzOgBmwoBuzazVq8ubvPpOg+T6hf8h+6Y05bpJQ+050Uko5PsU5bJH1rmL4gcTUxW0OEonzpiRTU/fUcRCabxr5xSx0KLmhTIUR5H1pcyBkvjKZjuxiEtf/DIohTjy+9WtHr6gCbbi1CIzcnRCK4Wm7Jua8YAVoVJf3mxzbmVLPtd8VtHzrHRD6Hl0xSGLrmdVE3L6+EStgFMyn5X1HJQjlLA0YLimDEWXLbpLqRFaYWzpaMopkOY0KBkbpYqWlqSVaz/DIHPko0dkMHKf0ZkeQWdk2ygenpsR4J/eb+ZypuDTk0YoV6+ucvddZh/+m28zsamqUw5IDLkwSKnI2tILfHZLA518H16frKBlPegMMnaUzVyvJA4dmYvb5uuWtTArjVKyJLGUfidOqUjM22gPCFTuT3nDi6E/bbQGVjh7Y5AQJSItIsjUGIeWfNdW1GdVhMCXOz3bDMoTny+4Q0qrr1x6sjardNggQD6WnTOzeP45ANKBgxNaTquRQQBIBSnjeha8l6WpoTJiBOhzuRA3LDL0OZkmPfRDhbIIQJ1GOCIsnruV4/lkiRq+V3xT+aG8b1vgpoJkTTl0vUEP76nX6GDWoK31Fq9+lVnnfvH3PgmY2HRAWDiLOHbP03XcoS8JamqiGNi9RTtKmZYxHijHCrm/cr5GfsqYF1+Ko5j1nrkGHSe2OUKjHeGLr/iybwoqIa6gjtebfXQy9KVcBSVHrrcTaMo+ZSsasNI033Fxs83JRYNADMtmbsu+j5K98o3X3cjzL75gvtd1rfzDidNnAKjNTOJJM4ekk9pY0Ot1h+ycXFLgGrTnKGpUY/1HDwOOnXXtMFyjRvbQGjJBHubnxyzRloori56xZOQ7xja2z4ONEV1jG9vYxja2sY1tbGMb29jGNraxjW1sY/s7YV+giC5FGmtOfuY8AGdvqvOmQ6YV7YeeuGw1lXK28XqSckBa6laKPlpY9f0k4ZHFBgA3CKqiGyUMUpPR31kGFYnOjaM53zDZ/9Rz2DdlKqFVqYj0IyhIdUgnmpaIctZD32ov5EKUoYZYqgqTlYJtgRw7mo1otLoLNRyrdzLoac6vmupRb5CgBAqRCFpDq2Ej6UxlttW7o4Y6F7FUGs52M9bPmsqXTrFFZaWwovFKlCFdN8D1c0HUgCjXBlBYnQC0ttejRXTk0MF9PPbEM+YaXJ9cPNPoYuX88Lzcndm/K1Sm6Mv4KXo47va6qXI8sjjm/GOmMnL53v28QVpf3//oJZ5/0fiZFoTAegYHhR8fBh6e3HeUpHxmyczPzbPGn/pJQj8xPrKn6OGLE9RIuSCCk6tRwn75jJqgCWPPpSait0Qx7aYIZXoOkfhkQxA2k7UiZdHfqUcZuShcpOCSVB5D0YE7OFujkAso9zX3f+JhAP7N5xiXe+99E889/RAA586dobtqUDSuq4hEWL7VbgDw6MWLPPP4MQDuuWWOhctGd6pQqtBrmvfs2m1QNo7S9KRStmvfIfYfMC3JW60uSWSq5VeuXMQX3YlOx+gr1eqT/MmfvA2AStHlS7/sy8z1ODGFghmrV4sY+ZEbbuPhh0z1b6I2zc03GRRDpVLiwQc/xrlT65/jjv/PTWcZCsXZJ8z9X753P28+avTBPvjYZc6dvQCAkurwWpqyv2vuuRi4pIJoqfoez20ahMhNc0YPsDNI6AXGP/YVfTx5Xip6wAWZ547ObMV6t4hAd3XGVM34V9wf0Grm4uKO1Q3MRYDDNKMgGhez2iERv9lKUlal8piL0eybrlpto3iQsbBpUJr9OLGI177EpkyHkOuBjTQCUBriNNdOMc9DjuYCePs7/oLpmWl5s8tHP2pQlVeuGB2qr/6Kt3Boj7nfe+6YwncMYuvvf/3dXDJSS3zLt3wLn/6U8fM3vMb42sVF+xUsrsPOaf5aS/HYt98gd77xa++yr3/VW27hzle/DoC3fvlNf/0H/J+YgqTf4fzDpwA4fc80X32j8af3PnSRpSurALgSV9ZSzQF5/ouhjyeIru6gxUOCPLhxRnSSNlsMBibG3zjh4kh8qzspzzdzRF5AIH5WF8H2RqyYkmp6OohoCmIhdF271sWiu1XINAWpes/qEpmgnttJwoYgZ6zPF0KreRINMrvWdXqxRRIk3XztGUHIuIp86dMaGx97ooF4NfJons7f4JKJdh1pFyVQL+W59gMuXjTP7vPPPkOWiLi2cqxezaDfQQky7erCgv27UtE8bxkuoaDcsizBkfe2WoJizhJ7P8oZEZ9XiiDw6Pe3AzWhBVGmOPOYQZAs3j3NWw4bX7r/scusLRqtmFwbaD1NOSRaQ8XQxfPM/UVJxoNXBFG5yzw4/ShlIKiPPQWHIEcsDdqcEk20q77HfM18RrUiaINIMz1h5iDqDWjK3AWuY3VBc58oZxmBoIBmqiW0vDdSsCRrab6f2OG6RDLP7U7MqaWGfF9CDiHNkWaZziwCJ9aZXc8Bq6mU6wueXk/JeuFwTG0oM2M7/Nn8a7c3eoi20oQoabCCGkFLWDRWatHIjOgiZdlQMypHRJvnQMTK3QAbWpUGthcJDwk6htVTBm354sIq33iLia8ff3aRyxfk2cj9KUs5IP6ktcKTdaYaJzwqsekWaVLTixJ6roi8Fxw82S/uKSg+s2z02PpZwg7xnd2Ccm2niklB9OgopiPfHbqO1aHM/akUZviynk5VFKlAbyLHYUmQZamMc+hq+uJPvW7CadG2GyTpEGXdMr9Pp4tWY7cXZ2QS3zwUnpcjxcw4PPzwBeJN0aklsTrwkKHcXFfLk399q69Flgraz7zuuLmebmbRO0PRuBHhP6VEyB50Ojwv2Le6Pq7sQXWmLSrQcQMgI1PbEZsEjYjDyWfM3C7d3eS+feZM9+CzSyxcFF8SB1/NMo7IQxv6rm2gNYgSPrVgfOkVons7iBP6vpzpfJdAfMlNB5yTeV6LEqbLZh5qgh7sRDCdr3P9iJZskkJXkWv3x3I2KyYZgSC+pisFMlnb+kqxKLEpR/Huqbt239Rux5wQfel2PwY3X+fE/9LEaqKeu3R+BInlEMtF5I/88eU+SXs4P/k513GV1fbKslEU1sg+7JofJPYobRHyNqYpjU4d+7PVWnVGxSXz15yR71BWMw40tuuA9fexjW377Asz0YVCBS5KoMJr3gS/91EjQj1fLnDylAmKVXnwbigEVig96vVt54kDkxV2yCa8LAteI0pYa5lg68cB8wLdX+imXD9fB2D3zASZHMo2JIG22B4wLYvY3nqBjTWzqfUdSCQBlosRbiWamlDfdAiXF4dihSU53OfUxURrinKfUTsDWdDCqmJOBM8LEmDJTBICYMINGMhGsZ8MN9ZTe0zwP3uyR7qed9JQ6BxiqhWOLzwPwe3PzE6xsdHIh94KDOosQ+U7RKWsCGFJqAaPPfJpUlWSOdMwsjnLLU9GZmhcERyNoy7TU2asNxpN0my7N2wZkOJJ44ErA4ff+pDpIDhT8Dn5ojn41ORe94YKJ9+wNDrWn/ZMFNgn9NSizGMrzthoiyB8HDBTF3/qJBycMj8f3TdtN+1XRGz56lbCPllwd1VDzl00kObAdajklMVeDu1P7ObOnapyWeDPKtHslu/LkxdJqikKxDoolbj1+hvtKMQyf48+aTomPv7pT9LcMKL7Xq9NRfZPqe9Sq5mud1/9Lf8KgBcX1ngkNQeot/3BO2w3t0GvR1AySb+FBZNdmJ2bw5FD0fkzJxlI0utVd9zEXz5gvjvud6hUDaXsxCmTgCwWS/yLf/ZdAPzOb/8Wly5dkNnzOHncQLorEzsAqE7ttb41iAb88R+ZBNm3/9N/yN33fBErC8+yHaa0i9YRSnz55CacP/4cALsmKpyVLnh1OUztDT1c34x7d6NHIhunHZUCh4V6WBbh52qW2S5Ty4lmsmpeX+ppDs6YZNgdR3eRSpL4UsccQBaaGfuE3jxTCjgpgviB6xBKwj2Qg34/haoI5WYhXBb4f+i6zIhvdyQ5ttTo4snBsxPHZLKR80KX6Vlz7UXxVbLMbLiAggoYyAEyVZnd/xx72PjPx46d4YG/MB3gyrVZfKFo1GsV+n1zH3FkfCZPcgGcOd9h354d9v/3GbYi/+E//x6vvec+AH76F98OwLf+/W+y73vo0RO8/j6TTD1xbJX9B8wG+/4Pmq5h3/KN9/C7v2Piwb/8of/GRL0OwH/8d/+Y2152iG01Ydl6BXOQW3Pm+PX7ja/Pl0KOv3ABgKrEpusDB8fPY1Pb0AeAA5NlnEz8SdY6L84YyDgutXymJVYsdhL2ybp3w74d6IF5z+Uts05daabsFWrFXDngsmzaPYa0QUuVjzU1oYJQ0FxeND4Zui5FoY4JU4Y008xOmhi8cLVPJgd/r+gyK92EC4VhQioX8S5lLkp8a5Amdk8eTpox23wxgq4kCNIER9Z8khBPiig7dx82976wQKVq4tUg6uNIIiyL+3ajnmXZcA2ThA6OS1fimOO6xLFJUivlomX9mpw0z6jjlVldXpDbiOwp03V9BoOYTI8cRl5CM0WsDCVJuPMd+K0PmeLE7mqJcydN8jhf53YHHq5kEPut2CYK9k4UOFyXxjuyljSjhIYIHoehz7R0+10eOByaNb40P10jFQH4S1sNABZaKftk7ZorB1y+JHRTR1EQX3JzX4o09WnpCF3SXJRmBq7jsKNm5jpPYmUZdt+UdLRNZIaBYte8eW9V6LVZgu1QXfE8BuR0tZRI9k1pYP6muzGAfk4vSxluoUcPejktXw/p8wryU53j6GGSFm0Fn6+lBOWHwmF8U44z0kQlT35F9u/StDekGjnOyGdsh2mzp85iXN8UfS83u/zhg2YfPlMocf6MWe+rMrZ7AhctYxD1EkTTmtlKyFxoku8V2adkg5imUIEX+oqdEhfWI4ejO0xy9dCOOkhzgiuSRF7uaPbIvmm+FHLpktkLuUoRyHNfkiHsxZr6pHxfscClBZNwcJLU0vvzBixppqlKzFvsR7iyv/M9xc653J/M7+M4s02fio5L7EjCllTaXmOp+1tLCQ7SXTHVIwLx7pCnqnIq2MAknwDlBsNmAyPxQmfpsHmT7eY6lCaBXFTexCmdJx7z7oGOwglkz66UlQ3RWWy6Zm8XHVZlgMKRfdOaKvCHHzsJwK5qiXNypqvIjdzoO6bhFtBrtWwRbfdEgYPSBbQoPPosSdmQBmVB0WdW1raVPuyVNW/XzASpJB8vS4fPhXbG/qq5nh2VAufPG/8oOA5FOePk19OLMiZkP5YVCly4agoBDop5eT2QdTfNoCLFyLil0SIFEZZh97x5liaFGh7HqaU8VpSDJ8nfVKU2qe3XzPOw/MgKSudnt2G31jSJbZJdSazI0mgkL6VHQo+yYvOMdmMcyYTlgAYyjbbdPjOy7LOSoNno3ztWuB43ZkxdHNvn08bUxbGNbWxjG9vYxja2sY1tbGMb29jGNrax/Z2wbUV0KaXeAvwSRp3ut7XWP/3XvO+twDuBO7XWT/wvPhW0CxHMSjU9urqAMMkIkpiJlsnMO1KxC9BcHJg3lIsBnkB2O/0+E4JIuNQ09KFauYAjVZxLW30CQRNooC2opkbUxauYqu/DAol3vQJ9gXFO9xOQCuIgSpgUSGw57x2rM6KB0HVw2T1nPqvRja0Aa1GoaGmc4UrlOkpTMlHgrVVCri6YysPufaYiVHA9ytLuOklSKoLWSFWGL6iyc22B628NKRM6ZvizoyyFMG+dHUUJmRWzTJmeMVCJJGrREbTSoNclLJuqXKtjxtLooRoUgNYZWd9U15xw2LZ9tLVtKjTIyakJkvwadIojFcNtqU8qhXJcdOay4wZDV0zXt2wZ2R8MqCdyjUXjC36acqEjbaLDAE8QOUmSUpV5zwXfJ8oF/NS8dnGrhyuVPtdz6W2ZsVu/mFCWav+nzgmlzg1oD+S9WYorqL00TinnLaalEtTwHVrSijnWin1zZh42uzF5rXgqp4dECZ5UCHfsnGRVIsCxsy/yssMG3fXs8ScBOHL9DTzx8RMA3HLLXbQbBo301OnT1KXC+uO/Yh5p3Z+lJrSUHTt3022Z6n6GS9u2NjbjNxhEzO3ca65nENHumGrbxvoqe/aa1++7703cf/9fAnDnq+8znzs3x92vvhWAD3300zzx5NMAVGtTVCfM3N1zr6GS/dh/+pecOG0qyt/1Xf+Esojg/uGfvI23fMkXkyTbgxLUACpg/mZpbNBpoaX6W4wi6oLI2szRIYHHBQleOyYqhPJcbPUiK95+YcOMj+f7FCWGXOoMG0R4nkO/ad6zcjalKmjIT583zxtuSE/os2mSEEo1MhkkFAW1Wc6vP1AMROw3c3z2CKW70YutWK8rAuauhkiuMU4THGHj1CoF1teN/8+F5r2B41ByhrGpKM9BN1OUg7zcbPznjS87whtfdsSO6Zu/2jRMuHLpLB/50P0AXL5skIZveMs/ZHXV0PduvOFG3vj6ewD4uV/6DVqCzL3rrtvZbJifH/iwoT66Tsjyunn+fuJH/wECLuLVd87aRfE7v8181lPHWnzpl34JAL/6m4s89qRB6H351/0r/uIdP8d2ms5clILdt5q1zt+8gi90Cq/doypLSl3QBIUk4ZzEppIf4OexKU3smF9tGVTNRKWIJzQEE5ukIYHn0pfYtHrhKoUJ4wOfvGAq2l5QJM6RI2kqDRhkzZHamTCJcQouA6GvukGBgztNnNto9S06IfNzEWfHopuiJLUMiomwwMaWQSHOFsy9B8qlJmtzFMcEKke1ZPjyjBxfl3tfG1g6t9KAElRQlhmUBRBHZkxq9QliQWkvLVzGE8pLnKYWzaAc3zZhsUVsneILgiDNEgolc59pElEqG4HlgqBE2u0elYq5hla7hyMPTpZlBGFAv79d9UcNCnbcatBrYbdPKj5RjmMqWyZeTFSkLX2ccr5nbrBUCChIpT9KMzNXwBWhK1crRRyZ+/ObHZRj7l95GT2JTWvtNrWZOgCfOmd8SbkBfdlvOWmGkjGMopSK7D9E3xy36NHL6YaOx94Zsy9o9mOLIA5kjY6iDEfljTu2QHxiqlLkkqAKDx0w62TBcSk7+V5JU5F7a8VD1NfTpwTZ0ndRuUI9BoVibuQapXh5bQTRQGYRgYbCNKQgqZx3m1Mbs2zIJVMpubizGkGNZZlQakfokdfyIIfNgbbTNIq9t5nYNOsX0bmURadD0DXzXhYkVJjBpVgaOgQBofhTmqRUZL91ZdPMTa1awpWHa6HZJxAEuAodBk3znvW4S33aMBQ+I4h35Qb0YvN9XprhCEIs7kdUJLKX5Lu8gkdfqPmZo9gjEgHtQYySufQkRhnpD/GnLCOToa2XCiyuCXpTmjsVXY9CPpdaU5b1v4+Dds09P33C3INKfct00ClDhoSj7VzmiFDlqBEf6eG4ZkySdCjubWmL5n/kAxRZavbkCjUUltfZsCmQzhGq2EYJaGXpk47nkcQjn/0Sm4nLij23yb5wtYGW59DtdfF7Ql8WdFRBay5FOXXRQ3qKEaWpbaC0KNIe1UoRX+bzYqOPK/vQzFUMBL212m5TmzG+9Il8D+4EtPuCKk0KeBK/o35MVR66suz33dClb/dNDvuF/dOKErtvKpdykfvEIqs6UYx2zO9nqiUuivRJuF/irufbM12mNdUwZx5l9rn65DG53p6yzCW0J2hPQKUj7Pgc2aUtUtCElxzplQx9TGdD1GDOqlGuHBjNs5+vj1k2wEI0LepvNI6pkdddSOSMOLaxfR5s2xJdyohY/CrwJuAK8LhS6r1a6+Of9b4q8H3Ao3/jD9cZGs3y04bSVDp6lJ5syLTn2ySJFoj+ShZZCPkEGet9odgpWJRujXkIj/sRA6GR7ZwqM5Bg+8S5JQ5JYJksFWj0TRB5xV5zwH7yYoM7RTul2+xbmHOhHFCUz7gqtLRawSeRAJL5LnEsdMNaCUcOjnlQfPzCKjMVM013Hp7jas8skInWBKITVpJgW9TDrouDJCGVIOO7iq5s9PfNCKVuvkfbxFSUG5jkIYiOh7m2646Yw+aeXbs5ff4iAAuLy0QDE6TanQGJbGZcz7P6Soj+hM4S0ijXOAFkYc6iHsqTn2WuFBCWzP0oB7YkWYkbsE2yANaU4+L4PgvPGW238ObdFlib+QFRKhz7ougAZAn5TmfCgTXpNlcPXFbEnxzZOAx6A3qi7bBzukwSGL94/OwiB8rGJ3fWK2zK/LzuekMJ/MixBV5+1FCoovaAUBa4cuhTlcPARYGVF9OUKE+AVktWj23fzkkS8dMcSn+u1Wa6aHxrOohRJXO9P/Vj/4SgaHz5n3+foQdePnGc2WmT/Prhf/0L/NxPGyWvH/r+f8Bv/f7/K98nsPwgpbUih9HZGU5vmMX3gY8/ys/8zE8C8OmPvBeAbrfF6qJJVDRbbatd02h02Ll7n/m8eMA3vvWrAPiFn/vnADzzXIs/+/O/MGM9OUVXuji22lcoFOoAPPa4yZP/5E//N771730jAF/6pV/GlUvGf0+cOM2DDz5MqyUd0l5SUygclOOw9Iz5vvrLd9CROciCgFQ6zdXnzPV2kgGhnOjrOmNdEtGezliVv8sPkBO+z+KGef4P75xAC23oyXMr7JVMzZGZGuuiJXHPUUP9/OTpNW7eZTbx/eaAovhSqeBTkSTFsiTgglTj+caXShUXuQT218v0chpjaJ7d9z17lmmJUzfsmWSpb8Y00hp/wiStivL5RcdH9nOkDKlfgQ9zO82cf+SZPwfgi1/+1mtG9YH3mI6gd73urXzjN5k5ffufGirq2bPn6XVNIGs0GjzwYZMcPXTwMBcvGc2hYy88y8033wLAa1/7WgAuXjxLfcKMSXFk//65FsTbX1Yllyf75Z/5Dvv6g49v8c+//5c+x1+8RKY1Oo3Acbj4yPMA+C9/paWnlyfKOG0Tcwc5bSZzUMIFnHQ0K6OxSTopKjlA9jsD65u7ZirEQq149MwiB+SAv7NWoimH13uuM/70gWev8pp95mcfRbFonvuqE1ATn7zSM9e1p1RgXbSygoJiXfTh9u6oE8khM5TkxLNXN9gpfvP6W/ZypmGSIVGWEUgXw4Ic5IrKtee4VGf0hQoUuI7tfjVXFi3DikOynhdvHHIKmXJBYXx5o2HGJksHTN5q4u4gHibDletZGo9SilQooTl9MgxDPDlAdjpN2pI0UmhSSZwFM+Zzu90t6nVDNymXJ1lbWzNzsGsXGs1i5zwvvckhOYtYeMxQX8u3vJJBrgnjefiS9OsJVXrg9vFkzZ5SmlVJMk2FPosds67ncgxxnNGR+LBrqkokz9QjZ1Y4LImz6ybKbPTNWNx7g/Gfj59Y47a9JhHYb0VW9qBWDqhKgmBVZCIKKZZWU6p4pFJAqtdLKFmPS0J3fOjcCvNls16/+vA8l7smbkZpyh7pwF3Kqa/4NmPZjyIC2ZsFrqIrFOudM+b3F5oZSgpQWg21b9DeUHdNDpsKZ4R+NtTagtRqvKH1KKvMvNUZdlo05CfZ26JtgdBx5YCZDoZfoTRZknf+zEa+bzvMJN2UUpx/yMSmys2vIZa9s3YCfDkQx0XjQ5s6QclaN6kT1jrmvTMFn9W8U2LeKa4b05Ou1LumK6Sy53ny3DJ7i/nzPclGvm+Ste7BE8vcvNskLKLOwHYTni56VGUt2pAiVyFNrLZVqerbfdNErUJX/Hs+96czK8wJnezO/bNckSJKgqYg/lKT80bNC/GEptUe9KyuUsFxaMt379ppXjvXiHAw/uj4rqXxK5TdG+eBTklRFiBDWT1Ex1Foch0vh2HVenS+8v19ipbnyXRcFH8KJFOk3JHEq2uTs2m/a37eJpfSADrl0hMiU3HkKLHEJhUUCRNzzbHsNzazBJ2f6VRCQ/TV6r7DgqyJQa6p2BvQFf/aObLOPXxqYSQ2VdiQhPvrbzRFyo8cW+DOQ8av+q0+ZVkTKyV/xJdEwzABV855lZpPLH5Zn6ziybpRk2zcgyeX2FkzsemLb9zDQs88s4M0JZQiZUkorNfEpngYm0q+R1v2bIevN4Wo59YaVkbFPJ0ig6Mhhwloq9vnDxNPyh32iXVHKbPDRLlmGK+sBI2jSHMfJR2t+sjfe1wLT5DX8wTc2Mb2ebLtLPncBZzRWp/TWkfA24Cv/hzv+wngZ0B6yY5tbGMb29jGNraxjW1sYxvb2MY2trGNbWx/C9tO6uJu4PLI/18BXjX6BqXU7cBerfUHlFI/9Nd9kFLqOwBTSleu7V6R5+meOHQzex82XbV2BAlrUoHeI9XGg16B56XS1FGQSZb53GaPoiBh9omY6VaScdN1OwGIUXQF2rrc6rGnJiitiSKpwGMvbZnKz5HpCrFUFZTWtlvLFppEqn55h5dWc0BJEF+J49IXGmM7S6iIcK8zMBWI6ZLPZaFVakdTFXFcJ025KJSwgWvubW/RtQUX31FkOdUgyvCluvHQR8316shFaXMPWZIaWLQZbNt1pSniw6e6XbpSfffdjEjEibOkz9ScqX5srC3Z6nYObUVlqBzGobWteJrOL0N4rPlXkc9nu5tZUU6ltYVuv1R2rT+JmKLycu19nj56gN0PG1HVaTdjTYoWO4WaeijTPCvV/o7rkEpV7MxGj7IngvXS8W4z0bzieiOQPciUpSsuNnvskGqSVyuSiQjn6eUGALfMT5CID2TZEHrcdBzb9TIW/84GKanM9aCQMBAERVf3KQtFpiNIs8lSkeW8s6fu4RQNfWM+hKfOG5ri7Td9OQCfee8fEQ/M9XztV72KN73xbgB+5zf/s0V/Pf4xcz87psu87tX3mns4cYIbbjT+/b3f/Y+4cMkIiQ6EAlqsTFIXP++0W+Q17UG3xcqKQXFcvrLAZy6YTnP33G3Cxgsnz/CnbzNIHtIBh46YTnet5haNDfN3maDvHvjgB3jiMdMxslCqcMNNdwDgBlUee/QztqHC/6ld40s4Ivw6fJ4+NLeT21ZPA9Ds9XLgJDMSK270CjzTN9fc8RwS8aWV1oCaIO/2irjuQqfHq26SCmMK3aapBF7Z6rBPBNLdaogWxNUJ6WR1dLLCQNAWSZrYRhctMvKKbt4Iot/ukwh1Kgs8Nhrm2oqJQ1WqkO2WiUe7amXONoSiqjQV+V7fhUtCC9zKKb4Vj5yLYfR4h9316hVz7Y57JwDf8E9/mD/77Z8F4OzFAU8/8xRgxOgf+MDvA/DCcUOj/X/+6bfzcz//XwGo1lyigRmTXq/FjjmDoNlqtvmTP/5jAO5+zX0A/OUHP2SRNMov8xP/5lvIbVlAEfNl+xLCFrzGXnvHBPfd+X0A/Pavfv9ffcPfwj7bn1COqeQLQuDTR17OHc8b1GIl7dGWqv4e8bedg4xnpZrcch1LOT+91kUApByQtW4zznjlTSZ+DzLoyFwubnWZk7iQlTwcqaK/cNmM19HpKqHEzY2tjqXkbfX7FpHQFZTyZrOHFkpkRoovdNuFZkRNRMgj6XwVDWKOSfxLVEpFUAYqS7m0YfwpcnN/KlGX2FYr+2zlCCNXEQqi66OfEEpRBm6YCz6nlhLkuy6VUt2M225DmWm3W3z60w+aN+jMdiYrVar0Oh15OcaR8Z6bNzT+tY0uviB5grBILPQp10lx5ZrX1g3KK0tiVleM/zqOY2P75atXUEASvzTr3Wfvm8ABJ7SIjocO3cjhR40v7fASLsv37s7MvBxwQl6Qta/tQiyUpuPLbaqylzlQNevcRhTziusMor2XQke6dl5ttKn75j3XV2qkghY7I53zbt4xSSqdOLNsiHTaTCNSGc+UvNvlgEz8pzOIyAS52NIuVemUoiSuThV9zm2Z+UrdjHporsHVKWfWzXevSje0A6XAIkyLvksiThzHGZ44y/kX8n0M2FZhSmH5tQ6W7pabHqErKvsf8xl23wMMYTw5rWi4P0I71/zdX4W3j9AjtaDzzWAOO0IMeEnss/3J8wrEOVUR+GBlnrs2TOOeIgMWpBvrzlT8yS9xUtDGnQxS2YcfX+kyVTbP505Z6zYHCbddZ56tgVZ0RZrhaqPDdCjI/2qBTJ710ytmrbt+tkYmouJZmlqa6XqWWYpYJrE0iSIy8bGWP7Dd5LSKCcSve7L3ni77Vt4kcTNqEk+cLOaS7I0bA/O9M0HJnlFqxZC+oLjTWBPIZJ59Jo9Xk0Nya5JeS/WSn7XQvDI3tB0elVL4QhuL+j2Um3daHKKwctNZNGxSoBzrFzqJhMGB7RKpsxgtPqSUM2TjKo3yfHT62f73t7NrfcmT517bzrZn7rqLib/8OACzXsyCnN92iL8d0pqTgqbq+65d546vtK0czV5piLERpbzyZhPf+5miJVIQVxsdJgPjS369RF/OdGdk3/TyXVOkMqdkqaV3buhhQy48kYToR7bxS6s/9KWuE1MS6Rol69x00efUush5BIp6KJ1/s5RTaw0AlgSJfaQ2aWNTtRDSleYx8SAlx2G98IhQc5LAUiK1Vpa6qKPIUpYcL+8Y6wwRXXpIy7VnNPm/3IZhZyQejSBMs3QUSThsbGBdUSXYP8xibNwc29g+D/Z/reuiMiv5LwD/6H/1Xq31bwG/BaDcQP8v3j62sf1P7Vp/8sf+NLa/tV3jS4439qWx/R/ZNf6kxrFpbH97G++bxvZS2qg/OWN/Gtv/gV3jS15h7EtjG9vYts22M9F1Fdg78v975LXcqsDNwIOSsd4BvFcp9VX/K0F6pbSpROSCzs0mPeFBP78+4JUz0gpaKjvn4phIKoW9OLU3vdTucesuo5XRlSqHSjPakpGulEpcPG0u+WC1yJwIWt+2f4aWaIJMi/5A7Hr0pB3yVjvKu93iOholVYh5yf73SgEbUgXSrseW8MeVl+b0ZwZBLpLfp5eLUaKoi+ZAHGsOTBlu9royf59mo82uNVqKbVGSUZo2164K8r1ROtSUcLBaBVprW60YROZzVzfbWI5/GuMKCi4ZdGi3RRvAC8lRGlr+Xms9rAjlvXDBcMJHRTMBNywSJXn1pEuubK21HrZy3y5TCsisLMZgcZmuVCNP9FNeJhppA/Gxi6m2ItzdQYwrN3mh0eHlO43eSEfG04siujIGlWqRF8WfjtSK7BA9mht2VugIAiLE6AbFns9AhP4brciOY8XTtLdMVWdaNAH6DrTlenQGLdGuqrouiWiMuIIwU1SZzMznVoplzkub+0rgccvOugyIqSC+5eu+k08/YJAw9XqZR58xmkepU+TI9S8H4M0Fc79bVzb54PvfA8Ddr7qTr3/r1wJw5vRpkk8aZNXSotFA29raoNnIEVgJRWlikCYRrlQsDx7YR0cE7b/je402WK1WYVKQSwcPHOLiVfN5r7/9dj4i2kydrrl2103Z2DAIlJcfuI6bbjgAwHPPD/i3/+bf8lu/+m/YDlMiupmjJYN2Gy1V48UoY0ZQoV2pFJ6J+haxsNVO8aQqdmGrzS2iD7IlfhloTSfLRVmLvHjGzN3RiQpTFfN8H901SV/0ahxxmsT1iUUbZ6PVtQW5sufaiuWk+Gs/9FkSpIMzSMkkFm5stekLuqUvugwXN7vEcj2lIKAkldQsS9kjbbvXtVTXNYjMCp6rSPJioqOY22eQV2+8xWh1fcMDn+DO130TAG964z380q/8GgC33HQ9lUmjG/iDP/CDANz/oY/R65rr2qCB65nvvXBpkVBE89M043t+8F8C8Ad/9HZzD70WX/s1xkdH0VxwLZLrf2b5/WybKYXjF9DpgCwx81dstoglDp3rJ9wkTUvyyurFNCEHbHYHsfWBc5ttbt9t1rqOxA1vkNKX35erRV44YQDYR+tlZqWxxIH5yVzHnUiaXITlMon4zSDSDGQdLvs+mcTNw7IuNuKIjvheMQxoiE6Y4/lsyXMRi48tdyMS0YfpRyllPxe51+ybMpMSmQI8TuKwJaihUkFREmRHM4rRsra4gg5Jm9FQX8txUErQ1IlHQ7T64stXzL+DvtW7CXzoxab632lt4vqm8u67DpEgU5aXlmSqFJ1MqtQ6BUGxaSLiXDdF5fo6Pp7cW5ZlI3rlqaBbt+PcpwCjv+OITiStrkEdAac7KbcKynwga8bFOGYgiJhemtr18cxmm1fKvqktcKEAh57MZ3WyzPFTJjbdMF1n36zxm8O7561v5rqlA+USiRbTRmuAJ59R9n2L9JqS2BR7Hu08cGSKjVxfNcqs//fEDy5udelJbHJTRV2auUSx5si0WWPXMP6TaY3tE8RQwy5KMvqJoBEFzeYodyj4bGBcw5+vgV6B4/gWMUM2hFUZbPtQSwdBqekRlHGWI8FUZjVxUJ5B54xcj6kXCxpHOSgRrtbOUMR+W0xrVByhs9RqOoX9lkVpXeyl3CiaRpH409WkiWx76Y7406Vmh0mJYy1BzXta2bWuVitzQta66yZrzE+afe/huSpChiBURpcr830S0TxqdCJc0a+tO4qs15efpWkEikS+Q2WKRtf4g0ozAtHrykQn6tJWn77Mj5NAvSA+GWccna0DsKHEnzKNm+u0KY2T5SL2Ea1coMXNkVnDI5jjedYHsiTBEVZD7mE6S0AX5OfYaniFhcA+V+gRAfDcb7TGDWQ/TWzRXVo75IeEdCBau4FvgYBaeyMC4t62RKX8+nSWoLMYlZlxbS8tU5frON9LuF6e61jWl4taE0mc70exHe/zjTZ37DZsg47sJf0otbo4lYkiz71wAYCjE2V2yxnq0GyZnjz3eWyK3aEvrbcivLypUJqAXEc9b2LhKLsXUlqx3ja+4MeJ5R9FubZus0ck7/Vjj0nRdouSmKMiiL+mBcWXaXw7IZltJDUgo58/30WZmcEI20lp7PPv+kO5LYsk1SNrojcSxxSMorr06OvmL+2vspS8YZnRTpSYlevIJdHw75Q7FLTHA8Y6XWP7/Nl2JroeB65TSh3EJLi+Gfh7+S+11lvATP7/SqkHgX/1v+66aJ49hWs3EQ/98gN87X2GHtZNYlqyM+9LEC8XAoqy2Vxp9hj0zQM5WQgtbTDLxUx9h2JBujL1upwX+Pt//urb2C/UnWcvrTEhnaiumxaR8Oka9z9gDgpB4NOQhXI6cKjIs16UQBClGQVZP/qOh2cPTAlXV8331apCa3NTaiIevdWPKchhcnmrzZWGCYY75sx1eY4zhKhmju32USmEeDnEtJlDlDMrcooyIpX563kCrC2JFj+o4MmGQWdF2s2G+TPHs0kxpVzbrdGRblhZkuAIvJoskcBn4LNDiKyI4UY9XHmvE1TJd0Fp3Lcw/+2zVDqMmGv55G8/wje/3nSmakcD4lywWBbClhdQlA3nUrdLV7qtTBSHHaRC2XiUAodSycxP2upwoZn708vZLQeLp8+vMyWbt5ftNO8NJyp84C/N4csPPLZi478VR7GvIl2MZEOz1E1IZTPZShWr0qHsG77tu9h/h6HsdS8ZKuaFSxe56d4vA2Bt6SpPPP4Zc51zB7n3i78NgDMXHgPg4x98O2sNc7033vpGvuKbXynD1eVd9/8pAMcffxqAvfuv5/ZXGIrh3a9+LZ/49OMAnDj2DPe9/vXm9de+AYAf/MHvoykbyLjfI+/+olH0Wobec+HCBS5dMYLuFV9g6/MH+OZv/DoAfuB7vozjZ8zr7//Ae3jPuw2lMReUddwCE5NTcs9XuPy2PwNgdnY3D3760e0Ro9fyXDmgJfZ85tc+ysu+ygihN3sD2rEJuQVRQN9QHkWh4Gy02iQSu6bLIb1cYFtoQoGrCaTrXKfR46qIrn7bqw7xmv3mXp+9uMJOEbp/+W6TrPBrZd53vxEMLvoeG3KArDoudemqFOQdcxLNLvm+Fe1yZdXEAMdVrEs31ZwSrVTKhPhicxBTksPk1Y0uS01pTDATyrU7ljLpZMpSv0rK5fRzxt/+8mPPmXt45lGE1cuP/vgvMTdrYvtTzzxLTRJ6f/y2PwFg954jXHfUJL/OnDphKeOO0tRnTQKtXq/z7//DjwLw2ntMV84Tx57n3e96BwC/9Udv4l1/8QEA9u2q8Ju/8h/5/xnTQ8FhgHf/l3fxI3/fNIgY6CF9eUEoW5lXoCQbysVml1bbxKnpckhX/KkkBZCCryjksand4bLEph/9qlvZKXTEJ8+vsX+XWab3XGd8zCkXed8HjT8FQcB6LgRc9piQIogSCnFFKfri050ELq5u2fvRkl2YFF5oKXToScK+Q0JZ/PBqt8+iSATMKPPe0HPQ8l39WFMWXuak79GTpELazClhnulkhzk4kAptxKva8e12zHWlscrzDig/wBXandYZvlBb0jT9K3SzYrlkE1lJnBBJY5YUjZuvh7LH8D2H2oTJ2A0iTTdvEuDEcp3bUdjRoKTwJJ3kHvjZd/P9b30ZAI1Wk0GeAJTY5fmKksSmK1t9mtIgZroY0pE9VEloN2U/oVKR7sidAWc3zcH5P37Vy21i4bkrq+yYMwe5WyU2uZUi7/mAEccPQ5+GNG6pFl0mBCCbd+drxSklOWc1MlgQ+k8YuKy3zdjn3YXLvkNN/Ge9G1GRosGprRYXGyam7dthrtdTrqVzmYO2JFiKBQIZKydPSGiEhoO8L6frBPyVw6AeJjH1iKi8EavPD6+p/T5bz1PKJsJGTWcROvtcPMR8A5kMu+ehYPtSE2itGSQRygtMhRX42K89yM1vvQ2AgdbkfSFzWYU4LBFKwn6p17OxabIQ0pZ5LwnFtOjGlCXWp72Yi0Kr/tdfdgu7pXnFsSvrzM3m/mTiglsp86EHzL4hDAM2+/ke2KUqh/mSUBi3YihYf1JcWTN+EfhdOnJPucTCRMGh7pvv3egNqIgGwblmiytC5b9uv7mWQPnD6cXFceRZcUJwpaitjZ+aTnW5aLgWAW9wfYb75UCK1MonE9qx1hnTM2ZdbDY2IJHR9goM/SEXBdfDxOgInczxXDKbODb/pHGCzvUV1Ih/KyAdac/+UppSEkeVTb6876fu5/u/9npzf+02sTQg6ErCK/EDilLQXex02JT9xmQhpCtnukHRTELgQqls/Creatk9+I9+xS222/TzV9bYs8Osb7fulK7GE2Xuv9/4UrEQ0pAs7c6CQ00ObTY2JYqKTPpmpljaND4xVQtYkzPknHQqr4cerqyva90+1ZK5p2NXG1yQ2HRotykOeModysqMNLfYMTXNar4f28rnO4WRTqtK1kedYtc/pGiglG8LsFzTNEMPk5vKYdgUY2RNkr9z3ILt0KmUQ5Y3NMu7djrBUMZGa5DmAWR9tjUJP7axfZZtW01am5PePwc+BLwIvENrfUwp9eNKqa/aru8d29jGNraxjW1sYxvb2MY2trGNbWxjG9v/f9q2anRpre8H7v+s1370r3nvfX/DDzUisSSm9TqA69MqGDj6JA28CWk/LNWYcwsdJiUDP10ssJJXxbTHStdknK/bYTL+pVqVTLLbH3r6PPcdMtXsJEp5YdlUlc6t9zkg1ISzGybjvaev6Us2PQACqTwMHAgFCluUapt2Nb68VkDjiqjupVabgmTcB1LZLpW8IarCH1Ybp8ohp0Q08eqqKdEcmZ8gFQpcEscG4QUoz2NdhMCdogjJtz37WaNtZJUb2OpQsWgQEa3WFtU5Uz3aWFuzcOdydcK2YVYqI0tyGLRQn4Jhxt8gYnOI/rAylIsjuoyIzms/LzrjuP7wM7bFNDrNeVR52/CEVUGn7SwEaKHL7Jk0/vT8hSbTgqybLRZYFH9SGSxK1Xteqjd+dYJUbuYDT57jtftM1SjqJzwvAquXmhEqNPPy+Kb598CsJvHyqoeDL+iHvoK+SPcEglJ03aFwqd8fsGfS+PLOQzdCWAegdMtbzXW5f8ml84Y+eebcKSLBvB+tV+yIeCJEfebC8zRa5t6eeeEFjhw26LDpmQpX22bMijIm3/r1X8Vb3vIaAF48scKHPvIxAH7913+Df/vv/wMATz5lRMVXlheZqApq0tH0BR5+z71fxC23vgKAX/2F7+Hf/fgfAfDfRGx83yGHP/lTgyT7y498grYgmk4cf4ZIxEqnBMU1PT1HfcpUWC9fXmJ9bRGA2sQkW5c2iaOXSKH3r5gCxzFwcECnfa6KgOv+YhFPBFJ3zZjxfv78JpMSC/bVK1wRbkOvG3GxYZ6tO+qCipqcsIW1h168yKv3mnu9cb7GeUF3bkYZFaGKPSaIhwNzyYgvQSDC8z0UEiKJpfId6ZRU4sGETrleWrU/c3WNotB4EErgzGSRM4sGgadGaLK1QsCZJfPdel3QEbvCobhuxpAqFLh4s6b5x+veeKu57k+f4p67jwLwy//1++h3Tfz7xKc+yb33GkTWi8eOAXDnHXfymte+FoD33/9+fv/3fw+ANIu5ctXQXZZXlrn+hhsAuHLF+L5fqJCK+PYv/fx/Y2XF0FzP1gPeff9XA3Dzy18OwJFd/LX2/gcv/fW//D82bahBjjcSGxNOCXrlhrBAOGXm5NCUeeY/+NhldgttcLZQoC9I0CjVLMizvHvW1LGDStlWZ9/7+Fled9CsdTrOeGSlAcDlzT46MD+fv2KesSO7ptFC49iMIgqCnGmmUCoZ36kKEqjRGVgkSzVJuWGn8acXljboS6OCalWavBQcLi8YJFAQennxmWroc6pn1rpI1rrDO2u2nXmvNwBBFpeqFS4JtVvnVArt2jXOgGmK8r2TeILSajTMPZYqBVxZN6N4QCZ0XZ0OiGTNmtuxi81N4/dpThPt9JmeMXS+zd4GXi6kr5RFbEcipeB7Ab1uTptzyFIh1igXR6kh0vqlNo2hMwm1RGUJZztmTo+WSqiaGYu9MwZd/PTpdabl2ufCIgKWZZBkLHbMveycNnPnTdbsNuIvHn6R1x82wvRepnl+xYzVcjsiKJpY/+kFc8+Hdk6jRaahn6X44ldtDYXQjIObKxqQkcmcl+KEw/PGl85tbDEhMbQne5BS2eXiiokbyhuKR8+VixxbMtdzXmLUjTs9Mtk3ZWlssQbK9Ti7LnOTv5hptPyPmSehgY7UjLXdvAxRWkq5FuUrsDD5hf2Ppfxcg5nRI6gakpF1JZH3ZkPhekYEocksjXG7TGFo+o6fI/gHvLC2CsCtk1O4NVknBL144sKGRffNhAV6gryJtWa5Y+LbnlmRcKjVLYXuvY+d5NX7zV6UVHNMWA9LnYRC2TxHD8lcH5xLiSVwJBpLN2ujKAr6OO6l8vuYTPbshTjmgPj9iysNAj+nRph/puohpxdMDFK+Y9e6auDTEUTrqSvGr27ZPWORxVk8wBUn8Eo+F6+IP2WCwFKFoSsoLLqdLMXx8g4oI74i8frw4YOcO39RLjGFvAmB0nZ/PjRvxA8dcPMGUKllX6Qicu76gRW211rZZhzmrLBdccnI0CjHRTlyPcmAM4KEuqFSRFXNd8/K3vb0lTaTcj3zhRJdueU401wV6YU9ss6FM5N2WP/8kVPDdS7RvLBp5mG5k1IRZO1D4l+H5jWp+E+XkWZiWlMUFJYnvhRnCYn4UjGK2TdtfH6x3aEoZ8GuxKBy1ePcUsNckOeQyfljtlTkucV1c3/ia7ftCRgIIjpLIlxxyFQpTi6aPR+CyleJZ1HzaNOkCsz5L6cV2tikEkGWCgUxR2a5zkh8G875UD5GYR8KhZUaSRNt0VtKJHp00r8WKZbHKbdgqbtjBuPYPh+23SojYxvb2MY2trGNbWxjG9vYxja2sY1tbGMb2+fF/q91Xfzbm8ko62QwTNNlGcePG32sL71tikzQS1c3pf2scmjF5uepks/eKVPRbfRTMqkwZYLQUklKJoikew7vZFfF/H4rTtghIvc3VkI2JTO+fM5UoAvRFt2++Y6kr5iZrcrrMUhVPZVqm1YuW5L99tKUDRHVTZVHGJr3rAvvX7uOFbYf9BObCO9HCQfnzXdoKX25yiGQDHvP8WwR0nVTTl2WyozO28+Ck1eBYKiDlUZkoknV7wsyy3NZXclFdyEvb/a7HZRr3pvFLXKEWK5JACnKzQV6NTi5RldxqJmS5ppKIVrGJEtjW5jMdLq9YvRakyaxjMVQx+DkWYMAuuGOffgijH9l3VyfExbY6uZtpz32C3prvRfhBObngfhVMU1JemZ+X71vlv1T5rM6Wca8VJyKtQJrgs66umCQJYVBZEXlvUwzP2cQi6VBTCqV0Lx6o5XDpmgbuGFgUVo/+APfw3//078AIF06Ya73pi/lU7//kwDcesstXExM5eht73o36QfeZ767mD8LmsCK4vY4f/7TAJw553CqZ3Snspa5zx/5Dz/BL/5yHYD5nbs4evQQAD/7s//V6OIABw+a106++AJbbUEWJglHDhoR8oce+jTf/k+/G4CHn9xkYcFolGnh9jc2F/mar/kaAG688WZ+/D//FABxFNHvNADYlJC2vLxEoWCqap3WKqFUMc+cSpifm7OadC+pKUBlUgMTv/ZCnnvBVF5vvfcoRRGFvbJm7j8olmi3TDW6VPGtLy26DnWpiCOVxIJS6IGZ57v2zjNXMeO61O1ycKfxj0KtwKpUAJcXzXd4vQ3WW8YHq75HfdKMS7EfkUlFMgd39jNFS55JN9NsSmzC8SiLptxmK9cDcSwCoxvFBlkIJDrj4E4Tm7L82U01rsSpCHByYXqlqU7cDcDTT5v5fu/7P8Z1h42v/PKv/Bqf/NQnAGi3W3zoLz8IQGPDIAfe/OYvRSQM+ea3fg3vetc7zfV02xa1F8eaU6dOm2uTdSAIyyiJ+b/+67/GRz72AAC/+t9/kXf8ufmMp4+dAuAjH7qfz3zk9/hc9hX37fucr78kphSO56LJcLw8jjo8+bxZ6+560wFcia+L6+a+bjy8m80FMzahrzgia9ZaJ0KJ6O1AKqulLKMv68yr982xty7t2Acxs3OCcK4XWBI9phPnTKzwB5pLawYNU1SK6rwgsnqRFYcOZIIHWrEoPjuZpawI8jDRLrOT5lm4vGTW0GIxsOjXVmdgtUkGScr+2Up++wB4ymFSUKErWwm1mojyq4QzV8y8u4LW0om2ulQoB1fu/9DBQxb/8pa3vBmAhx96mAvnzLyXqtPEsmZppVCuGZPVlRWLIBvqPWdsbW3JpzlDDS/tWLSF1qJbVq3aSvdWs4nVaAI81yPZruVOIe3nZf1wXF48YxqMvOYN11EWBNXVNXOdYaVMs2nmebrgckQQL40oIZbr78qEVOKUnqBR7943z15B1a/1B+wULazKdJkV8YWlqyJcr5u0BB3mpJq5+ToAQX+AFpRpJhu9bqZYlyYAfpaxlqNYuwk7/j/2/jvMtuwq74V/c6Wda1euk3On0wottXJACEmAhEBgEDnaQgKMAfsag7EJBmMuNtjYIGSCyRISSSAkJKHQaqnV6qTOfU73yafOqRx37bzS/P6YY821qsXj+9x7T/Fc6duDB53qXbX3XmuuscYca4z3fcek+Y6tLG/ylB2kkYQaR+JQP4y4Rb4jEQ0bVykCQUoNifEyBI4bc/G8ICmzi+I4KItSgCzOF9EuuaZOjtzSxRkDGnLFb3Kka/FzrQg0ORqREmmSIYGKuK/iMWQpvVNAkO2BKYP+cIMKSRLZF89cMENmXvyaKRoVg7hbE92hUq1KR7QxJwKHkxKbtoYJCOK4K/GjniSEool056EZjk8KmiaKOHLA+GFjqsaq6E2uLJh7r5ls05P3uWnI3D6zL3rdIXE3G5JkvmOQKrYEmVWuwpYggfqpoikaSpl+XnugSOSNZRQzTYO2WtrqcHjCnEe1lrETFJ6gopxSCZVkebHm6bM7slai0aVVznTQoQ0oyikMYcp03go+ceXqVXScxaAYJUNYsmtj/j7LrZ0cJVhwRJ0quxF7JUH06whP9sUwTApScnuok6vMGqjCwetUc/aKuaYvfFmVZlUGb4kWV6VRo7Ntfj8RuNwiiOatKGEga7gtmpQH45TelvG7lx6es760k0QcPmDOe2KmZvOmxWsGmddMtmh3ZS9J4cCBcfNzd0DSz9ZQdCJT2JTrUapin+k2w5RTMoBoU/RuncCzd2w0jK2Q/iCOOC3DrNIMNJUqSk42jCOlXjY+dmB2mj/5pMkriTMkqLbOnaapaKoBBWCnsoMtIIepFp7Tdpn6gp81SoTnjTmCJkviFJVmg85MPFfKs+L4ynHQsRyP+0VYdhjZF7V98Xmc0qAS+ddGdBavmA127nWHmAvMzbUqCVvN8QglwdrsRlR9EYr3A7YzypcECNcvE0nAmhpzOSkizzfddIxrK9sArEQRfaG5HZ40nztddtlcl4Tdd6VUBN0wpiY8nUiCTLUWcFvDBOb5QcyWJG9DV9ngXJONf7kzYEsmXHmuazfbThRzSb7v1kMmoXBR9CSYhGmMJzD/Qdlj2DHnlJicA8d1c2FT5eYPAnhUqyb4D6TgVyn7dAZCUSTJJ8N4TXSa0y4yd0pFiNjRri2EOUqhdRZMU3LFXym8EeNkT7/kk2MUuiCwuhemjIiwTk2BDSB1uHLJJMxzX3WcfSJku7oqU74ch4EE8M5QE0iw3xcEbGQbgkxl0ZUKfYG2758uc+KwSbxOnj7JdaF9LUcJHUlKjswYv5gsu6ytmoeMatlBiU9uDyIa4t9ZetlslHnRuEm2rkVw72UpSpZcfuXnfhyAf/1zvw7Awx9/H7c811C9TrzwVThSnJg4+hLuePHrAPjsPX8MwN+//wyzh41Y8YtmT/GcW54DwG/86XsJLsu1lmR60N7g4XlTTCgHHoePHgeg30syhhFPPPZ5cz61OkomZvmex5XrK+Y86mV+6O1mXsWRkzezsWaKjYOeWafbTr+eslCCPviBD7B0/RIAlUqZtlyPQX/bnLtO6UmS4pVqRDJVSLdXWSUlyjbdG2yO45FGMcrPIN8J166Y4xj/moTZhvGV1TVZFNejIz7TGiT48vB1uFZhPZvMJdc+pmKLTPvGXE4eGgfgxIufw/JlQ9O7MOyBb+7fA5MmbhyouGxvCP1ZAULzXOsM2S8FgkQefivVgHGppq8kKatZDKj5VsS+JlD8pc6QgXyW1oq+FFj7w5TL4ru3nzDxs+L7dIVWpF1tKUhJ4OJJcfj7vut7AHjDa1/NG776q80xrKwSSSIXh11igdjHEjPf9T/fxR3PN0XXXrfD177RvO+9f/Hn9pqYSbKxnIfxnzQKrcj9U2ee5M7nGT+PopgdKVicOG4GUvzRu//AftZnP7/CK++cs//9w//6t9kz05K46vxBRSnFvBScGnWN1BBYXhHR5SAglglm250hjkxEO1gpsZJN25L9RNcqDGRfnJ0MOCr+dOT2kywsmP300mqfHbnHT+4zMaZZ9amumGtS8RyUXIvWIEYLrTUbWOCWStw6Z9b8cjeiLXvHWLPEpkwbHhdx6YubXdpCJ3Vdj0RiYj9KuCKFtZsOj9u1WZOiRqI0qxtSQAvKhF1p4GSDUlwX5WR0ipQ0Nt+7vLTEm99sBnMsLpmCz6HDR7l04QwAw+HAbotBULGTQhWKVETx0TJF0vFRWdMsHiJhlWq9Qr9v7j0tV3F9c4P8CdJFZQ8cWuF5/h5PGc4flpWCS5fMsU1/g8OMbM+LyzJQBY9OVngMNYHkC9NeiU05wWzIjRNU6Ul8mJsuc/yQ2eemT59i85qJ7ytrXbqeDF05bM55NnBYE2qj77q4Qslr9YZMVswBJbIetXrZDjtYGCZsyh67b7bBknCXxoVyttQZsiqyCqUgsNP12nHM06vGt593xFCYXK0YyENarBNiKWotbyoSmejq+lm+UqBwaWXlDuyC7l5ie81NEyT7fUouG2H/J39jUVDa8Nnk67QdeFAsehQOwH6umf67d2L0xhKSsFMQtY5YvmbWseS2GRNh+VDmvni46IximoI7zOQhyqxn+bf8q4IKPYlNc5Ml9u83cgrHn3srO5sm/m3EQ3bkfI9MmZg2XvFYWTW/L3sOsXxHux/SlLxpKEXGZrPGpFyThVCzLt9Xrvgsi6RJ5m/rg5A1KXpNNWv0eub7eknCMJDCm5NJomgGIiQfRyG+XL/F9ZB+WwY2ZVNZ0xSVNViVR969V3kVvWg2bwZHKL86xg6eQjn/wPAmx04lVY5HGrbl+0pWsByZnorjEUVZTu9ZH1Jy3fRepE3ayJakaWqLc0kc8vQZ07AZe/0Bxkqynj0Z0KNcQrkXugn4cn4zns+K+GMWm4JKmYHkHgdmAg4fHAeg+bxb6VwzcX9rJ2ZbcpljszKds+JRWjbfUfUcUvGlnV7EZEno7eJL480as/LMdqkXEwrgYLJaZnlojqcpMWSxE3KtZeJurVyiIwCJVhhxZsVQF++QSdQKzSCbtEpEosze/tDFRdLEQhlkHc07ABgMrOB9Sj7x0MaNRNvilqGqavsZ+fajC8AI8QNHFapwCVEoOUUU5c0d2Qd1GuWhkhL4hanEIzH6kf0j2oi6OLKRjWxkIxvZyEY2spGNbGQjG9nIRjayLwn74kN0aQ06NFBISz/Kq8O/+LtP8sLXGvXg01Jhn5keZ6cn9L7EoSPV62aaEg9N9X5Lqtuz400aIg7b6yUckIr09tIWS1Jtf2i+y/yW6Yq86pSpvM8vdwil+6njlJLQf6plj5ZA88flMMuJS1tgsq1hSl/qjdv9AaEguiZFdHG7HzIQ2PBOZ0ipJBD7VFORCrmwsojdxNKHPN8hHgjUOk1I2oIwkY6nThTIOHGFsmKNynEIpaOTQVQHwwRX1tJ1MAKaQBT10YN29kaUb5AZTnlMvqMPqTne2vg4g7753DgaoqVL4cnnJqmPFiSY8gIrtup7DnGyl2L0YIYbpFbo1SDOzHH91G8/wVe86RQApxJznWZnJhgIPD5yHBzxw2pvSCzXakPef2BS05Q2WLeTcMQ3CJf+4jrLS6bzeO/FTTvy/MtvMcLcV5Z2GGYjgRNFRTpHjXqJjiAhPPHNWpoggD02u7Gl+m20u7TOGpTVn/zqTwJw7CVfy1TTCAWvrC5zZcv87Wc/80GL6PqbPzcolSSJWD5/1hzvU2fwBU21r+EyPGjWxJkz7/+2b/5WfvLf/hQAw8GAUyduAuDJJz5PKirGr3z5i83x1hp85KOGKvaq17yRb/lGM4T1rk99mo98xMyuUDi2W5QJZX7sI3/Lpz/1cXNsaUwsCLzW5g7PBkFox7civWmSoETYVeuIsp8Qqr3pdmsSnCBXIdbaseKuP/nbj/Py1x4D4GWCLJqdmaAvvx8o8DPKay9iKLGpJYf6ygOzeF2DTOsNYwJBCnJtiW1BRTx8scXFtW0AXn/a+NL562025N7zXRfRXWbfRJllEbwXrVcOTPnsCFe61U/op+bYet0BkVCwJycy6vcOPYljO2FIRTiEsQO1qsQW+ayhiu0AjtRxGQpSIujH/M7//F8ATHgGBfKXf/0BBkJbandaVMomFmqVkGQDSGR9t7bXeOCh+825+WVqNRN7/tn3vY33vMcgEw8dOsJQurXDoSDbvAqNmkEo/eA//SoyqzXqXLxo7pl/83+8A4CVqw/Z3586OYc05Vlbh9/4lbcD8M5ffQc33JQDTglFasfKOyUfLQiAH/7Vh/iyNxnR/i9vmLU/cqjBmiBS4qBkaUXldt/G0VXZ6/ZPa8al09vpxBz2zfXZubLMJRFW/uz5Da7KXvdltxgE3OXFHQZyTysUQUY3qvm0BOmQCbAfaCo25D7uRimLbaF/DyNi8Y3pcXMvdMMWA4FNdXs9AkEspK6iKvRdL2s8K2gIlbYfp3Q75tzGgpS0l1Hg5UKljqVYgItfGTfn2W5x9z0PAnDqlKGgHj58gOk58/PG2qLdn+K4jyv3aYpirGbugZZ8b5oMSCQulytNG4/CYZSFL0tnGg46NjYpNwDHnH+lXN2NGNoTK8S9NJDvg3f86gO89k0GwfhKQVLNzNQYduSe9h18yS1KnZCuiFd3BKVwdN8UDUHKtTpDpuX1dH6NK4KauP9KlyubJn592S1mD4pakRX/HyYpvuRNY/WAHbmOvmx0zYrLuuRHrUHKtvjVsB8SivDytMhSLLe3aQvCdGGnRVXo+P0kKfhSjj7MmISB59GX751sKHudclS5yqmLuyy1NCZ7bZVn11unaY54ML+Uz8XmQpmUhCLNWY7aIReE1jlCzJoGJ0NK5ML1Wid7N9RATCll8r7skBzfSlL8wh9d5hVfbdbhVTJsaXJyjJ2eBIayL8cLw17MYGgQmV25R/ZPj1t/aveHHK+KgPjqBtdFsPvei1tc2TSx6ctvNSjb+eUWofhQCri+IF2rAV1BzggYh3EdsykyJ1v9hI2++dvYjQhlX5sVStzGRpu+yEucWdqkUjLHGaYp3R0TK48IUihVeR7ueB5hhnScKqGy4QVZgHAjEP6HTmPLgEBr9BcMi9KFwQNYlBZuKUf86iRHiJLlzWmOyMHF8Sr29VSQ7dl7lFfwMB2TYyE0X+B6N8i01iRhjE4TGbhlaOeuHOeP/855vvz15vq+qm6ux+xcjXggEiu+w1CCrLvVtmj9RUHNHd+X0hBYYasf0zwm53Rpgfklg+785PlN5iUHf+1tJm+6vNRiWPAlT9aw2Qhoyz4nWxQTTsqa8Pa3+glXt2QvqCkiiVlTUybfWNzeYkd84vpOj7ogmgdpSk3kBbKhZFol9gqUqgEIAm+67qLDjOYqf5AqO2BHa0WpYtav3+/lmvBu4Xrugp4WY0VqX9MZyyWLV9EQRBKA1LO5OXqIK4PFsliZpsP8c50E60tJPAJ0jewf1b74Cl2QQ3OdImQzp7099oCBvJ54s3kI6PUj5iYMvDhKYmpy77XabcYkGMZV81mdQZeZukBinYSljgloU/WUsmsCx5FGiNC4mRUK4kontFMOy5WASt0kH+trXWpl8x2+ZFNV5VlaUqQ1GTt9X6XKfWsmKaxLcjfTqNCR4HVxc4fnzJjJTmo7P2M7zcMNcIQy5WkNrnl9ELg4dfNAG3cyvQdy6CrK0hHHx5ps75ikw5HCT5pGOPK3aaqs5pLjBiS+bMzRoJDgyZE5FZScZ7u1Y2HXuhDlssKQIi3oAcQ2CYriRJK9vTONI5QA0QRJE0sRcBR85lOGInf0G04D0OmFTDXNpoUCR6hAgzBiPHvAqYoOQHfA0SmzRh1Hc7VlrsNstUxN/OHWmSpXN81GfHDc+NPVVq/gTyXKlcyf2tRLuycC1TyXFUn6IzRl+dzjzTE+ddFQ2l6eGN9N+222Vw0l8PyZM3zT15ppjI99/i7e8SPfaY5twugjrS0+TiTJuRto/uzP/xCAvhewE5njeektrwLgvX/+N5bqtbG+wMtfYXSXet0WT50xVKCnzzwBwDDO6bE725t88u7PmGNPNDOzJqFZWFxkp71tvlt8rNNusbO9IefuWb26NI5sgpgVKx1ikoy6pNzMnXCDCoPB0PrwDTetAAcrrOco68tKOTz0eXN/3/ZmUwgsd/tMj4ueFeCKvkGvP2BcdJmGZaFXrGzwXJmyF3lQKhs/aIcxgSQZt81WeFqStzHRc1jTfapSFC9VfKaFrriy1qEmn5HKA4qjFYtSQIuUQymjDZUq3LtiKEg1SeL31asgujznN7a5rTkpp1yiJQ8ViewwZc9DSUwraR9H9ICo+yTyQLPe2srXMdMJcx36g20Aqx1i1tK8PwwjwkhoADXF0WNHAdjY3OK7v9sUoc5fvMD21pr8vSmERXHEP/9BU5y6/Y430N4xD+BHDx/h8DFTxH3/X74PgPHZ01aj5Ju++Zvsw9z/+M3/xJOX9kDrLTNtJsK6rkJnRds4yiRd0KTc88nLAJx86y0ANNp9jh8w12F9p0coVPWBM6ApNKuoJno33QGHRJer62jmd8y1rE549hqf3l/n8oasjUySutod4ksiHlQCqvJ52xtdahmdRmJQzQtYlvswTKEqBZB64HHPVUOxzh7TDo7X2JQHiCtLa9zUHAeg14/t3tC3fupZqmDJD+hLwWatm9jCup06p/KkXgFR3zwcp0HVFsOWlow24k5ri7IUVpVbshN/tYZI6EiuG7Dd2jZ/k002xsPJCtb9HSq1un1fbcz4nCs6OhqPVOKDRln643AwpFYf/4Ki/Y0wJf+nVZ4/KZVP7NMoPvOpKwDc/m3PN8e702d20hSfU6Xx5AGy1+kzIdPa2rLEC2ubvHDa/EerlLIlE9OCyYCaxOabplJbhD85Y9Zkfn7dPkz6JZ9a3fjH5nqPejnLIyRvcj26QtgfJClleeCa8gM+vWB8qSJvOdiscW3TOP8z7S7PbZpCCYnCkXPuSJG3SRk/yCljkWiMLnaVLTY4qvhkliUqXuFnZQtZdn3dwh6j0oJ2l7IPnjodSkEM8mlmiX1A1DrMabe7Cmy2tJE/bOLYw1GQF0r2xLJGaUpWUNEk9hyTaMCD914E4OQbzcRbvx8yJXtdpexb7dJ+b4cp3xR7e4EUxbtdDjakMOw4XJcixGy5TEXW46apCldksvCc5OELrYF98vfKATWZtLi90aVeyml/AJ7y6MqaDtN8OvqY7/O5ZZFTkHh2sFljUfa6c1tbvGDSFGrDUDOsZnRMc/2bvoebJSeOQyp5+KWNLlpJoV8oaEbzTYoTqUehwlnwF2OppsAry33TNKTNuc3NzbIsx565i+s4eFIgidPU+qcmtYUPS55Ni8WtFHZNCt2jPFyB4xlpk0xXznFc+0yiXJd77zPx+QXfehsA252BzcGVC0qagqGnaMpahNII6XT77KvJM52CtkzlLU8GVMWXTs/WuCT0+ANN40vX2wN735cqJeriS5vrHeryTJfJcrjaoSU5ZT9NKcv+OV2q8EmZ/tyQRtKRiTrRuomPZ9e2uEO0Jov9/I409MZU2RZVlQMloSM+db1ln++ygpfWiS163fy85zN/zWh5ohXKESkB2a+SROR/sguQ6TYmCcSZLmtg5WQyrS2dxpBI0E969vepG5DI/uBXzPqlYZTnwYkGlXV8SnvbyxnZyJ5lI+riyEY2spGNbGQjG9nIRjaykY1sZCMb2ci+JOyLEtFlBPI0xclGSiroCgfR3+VFE6b6vb7exxfoOr3UohjKfY8p4VisS7V+2gdP0EvVksf1jqm8J2GdtnRedblkaQwXLpnuSZAktoVy6OA0qyI07muFJ421oYj2tpXilMBYq52Y6zI96PG1DRKdwV9z2H6mdzpRKdEW6kdrMMTzs8lW5j3hcMC0CDuXPc9OH/nM/X3SnsDiM3qe9tBZtV2Bls7FIFSk8r5MyNhQ+7KuQYoSt1GOl0/2UAqdIeySnv1cxzHf63iupWUqlZBxJS38Wrm5eLDj2ImCSimLCts77ESKjpOcFpAkaJV1ZxNcmbb1sinTjVxcGRBItyjth3baTnXYZ1zEmLcmTIfyYMUF3/ztVDVgoSPIukGDdelk9x0PX/xw/qpBnqSDiJK8dvjwFCuLxp88FK5A6CNBmWzq2E5XKzsh1zbNd9x/ddX65N33fgqAU7edZm3DoIq+6Wu/1a7A/qNH+cg9nwDgzHlzDDPNCg2BVftKgQweuO++IScPmw7rn3/+twDY6QxIBXl3+MAMn/jkpwF4+JHHLZXgdV/xWgDOXbhEX6ZW1mt1PnffAwAMB30OHDoGwI994zfy5zL9LgNf3fHc23jfe/9EjrhAvXVde+0adbMOQWmMfs906MIk4eC+A/JZMXP7Znny0Y+xJ6a0QfxknXXl2PuFNEaLoO0rZYrc2maIl025jKAm/uP3uzTlI7eEKnig4uII7Was5HJmxfjEbOCzKBN9VgeORWmsSwzq7PTsNbjp8CHmr8tUPselmo9oAszEveftM36+1NFcWjXX+emlNdMFBNaFolXyHCJBE5QclzjOKI9D23jui5B+L+oxIxSWmufSlyX524/toIS6kQnGG0aMdB61xhckTBTFBbB93mnOYki/3+HuT99lXo1j9n/1m836TNZZXTbdzWPHjgEwPt5ka8vcJy9+0Uv41Gc+C8D3fvd3cOZpg0D83d8xFN7f//3f55mzBo34vve8mxe99BUAfNPXv41v+pZvY29Nk6Q5lRqURZQp5aCEYvMVBwxCZtDVuBWznrPKoSkorLWne4wLaiWLTQfKHkrQkuPVEpcENTFRLrEiKNVOjO3azl8xXfV4EFIVpMPhg9OsLBs/UykooR5mE4Y3hxGnZ82xlf0SHzpnkDcPXlu16IUNGRoxVg1IMwFhne8XrV6IJ7EwTLPO85BKKIL4gUuzbs7p7k9toDIYoRVlzhGWqQ5xBP3o+QHzVwxN9cTNZhhBtdqgtbUu748tJsbzFXFs4k1QqRH3ZLhFmk8YTjK1+jRBwF+g4PARg1K9cvkKALedvoXz5833DgYu1bIMSNCKfm+HNN2rnS7LkWTvVR45TUUbyB3wYtFY2HFcXEEuOImiLP4TtF1kpgbbMjxlv+9Yyvz0VJWrss9NNeu0lVmMoTJSDgBXL5s9qNMeUJJc6tiROZYEjepoB5Xtc+IoLS/itOxzVT9kacd87j1XVixKZU2m+VYDl0g2jkC5xHJttodDAt/Z9blrgx6HyybmlXzfppUP37WD62VDBzKKTpDTcRR2/TT5hDqr67wLNawLHKN88iW4+cSzNJ9WlqYF1e9swqeO7fCXnJao8i8kF3lO0wTHKaLQbrQp+S6HnIdUnMamIDTX+uUHDQuh09YEFZGqiDTjsh/Q6TAu792SvHh/2cERFPJ4rcx1GcLSqw9oi7RGW7tWUmPhmsSmfkhF6G+HDs6ytmz8SSXgOtm1EuRNEnOLxMeqH7PQMnHo3qtLVspjWyZfj1U8O6TKjZX1p0GakMgk365Q+zuh5tSMQdX6Ljhy/R64r4dKhRkhtFrlFSVYKPhWjrwiQ6aibDKkVZ6Hp/EALWiZ1bU1MkfMrn8ctqkI1ToO8+9ycO1eolXRn/LrqItOrWP2hL+ogTRBOZ6l75pjl2cOEhIZFPA8YUp00hQvG7ccxVQlT/V8hwnZmzaFdjrtg5aYP1ZTXBAq/nilwsrQ+FVbO3aPuX7V+FLUH1qE8sGDM6xYX9I48W5fGgQpz5VY2PBdlraNL33y/IJF3i1sSc5b9q3sRsl1bX67PRwSyDEMMsqkE3Jr0+wflcDhwDEzEOq3/+ovUCqT48gCTmzZL8tLiwy6y7KWJXtFsxytSIHdHZsSsjGNCjMVHcCRuK38Bmk2HM0vEYukgpmkqOy65ebYY7P5usr+Z8/YsCMb2S4bIbpGNrKRjWxkIxvZyEY2spGNbGQjG9nIRvYlYV+UiC4jgplXgx2nRCoC8spxbUe01jRV/JtnmtxzYRuASpqyNcir2p0oG8tulmJHKTakG3nrZJWK6Cc8Ob9l+donZuo8vWBeX8m60Q4cFsRPvaQYTMrcdyfFy6TEQlNXdEs+O4MM5hUzJvpLE5Uqi1um0zkp3axmUOYzl42m0vYgpiJoikY9wBHu9kCwTg2Vo7Qc14GS6eJU5xI681Jll0ah1glOJnxJgtUwUZEdd6yzMbKOU/h9Lq4NMW5ZtEjS2OqZWDSL45EWxtmSmHVVfqkwabuA6MphMGBfV7nYwF6ZdgxfPeusebu1EqKBOW5f9ENeOTXLp86ZrlApTthJzHG3Xc9qyNSFS991XbbaZu1vmyxTEj97an7D+tOx6QYXlsy1WNwxf1tFc1R0TMZLLnrG4HtCleKJDls8kE5v2WNHxHj1MLZdqP3NBk8sGN/pCaLvQ3/1Hn71T+/5giVox32mDxrdiVnPfO/65WuMV6Q7iGZiv9E5KTVbVKUZu721DcD07H4aDeP/vh+wtGx0CVKdImBL/vS97zU/KI+yrM/l+et8/3d/MwBnnrlg7+MPfPCDRNI5eu3r32DOLc514NJkCAU0oOub73YD449Ts3MsLZjfN8dKhIJ++45v/3Y++pEP5n53I00JuizB+q9OYzIxMaUgFlRnJArerzw9y93ntgHwBl3CbIy349HPhhxI57KroC2CpzdXAgLR/nl8vmU7ZMenSlxumk7fFUF5TfsOB8YFVeNqDu2bAKC/uokrulkiHULiO7QH5hiDKGK/oH+2wjpPLBn0algyvtr0fZ5eMce+PYgYrLTM62MBflOGZkgXvZF6FlXjeC6qar63Pusz7hq/uzZvfAadoqz+YgGxoJKCtEOhA501NJOIZ54xujDPe85tPPLIfQAcO36K//orvwLAj/3rnwCgVrrOX/6VQQzWazWOHT4IwIf/7kP89M/+AgAf/ehHATh9+3M5esgIsd999yd59JHPAXD7c1/Cgw88yN6Z0bVQbs2iPczQDG1/HUvH1a2Z9X718Sk+/KRB7NWiPhuiidUql+iH5iKPCeKr5zpsd0y8uXmiRLlqXn/i2haxIAuOz9S5uGpu9lVBGZfSlKPTxp8mKi5a4tSQhJLEHpWhH8ouS6L95QwTxgX9Otmr8fSK2evGpIvdLPk8tWi65hudkJ50tRsNH1fQREPR4hrzAitSrrRmILFg4liZrUty79ntSFl/Usqxo9bDftcOQHnm7OcB8B2PQ0eMGP0+9wCXL5phHOMTBwyyDthYW861SyzyOECrDG0BSWr2jDTRXL5q0ISOb9Aq586dR7kmTrlul77o2ZXLFTwvINxDLZxd+sNoEH0gpRyLUtGSj7zy4CSfOGs0Ed1Bi0E2Ht516YmgTK2cabzBdt9cr9vrFTy5Xuevb5OIL908V+PahiBPZUCPShKr/TZRC0jnTGwasIkfZIKX5hiTwLEC8+kwYnpMkIlJgycWDXphVmJlEHicXTNIw+1hRCjDOpr1Ml6m1yP5yqTjk8q5e55DV/KeYCwhlMkTdpiBirEQ+11CM4U4ZBc5KkhpFXOawnuVRsn1zpAdcTTI0VhuBZ0O7EeoZ+uV7vos8+0ApVLF6i7u3SgfDcQ5Ikknuaa10kSZ3iQGyfLK247z6fPm/q4mA/qxiU093yeWzygJYjkq+VwUTazTMzX8solBF5daZAiym2bqzK+ZeLLclnsoTTgyk8UmhTNn8qaBiimJTzqS81MJrD9F/QECFmLfWIOL6wbV0xN/mqr4nFkzx94KY54QFGvFd0Hy8Cw2NZVHKDqXlVrASsegP297zjHOPjZvlsdqgsdWf5E0sr9Q2snT3kzbSDt5jq2xaFzlezj5JohjXcRcDNdVdGUYjRlckOkD6oJOU2rfY5FkRdOZRtdeiCtpoy+lQQmaKE2iHHWkFEkkiF7fXK+X3rrPPtMFUciO7CFpUKIne+K4DPzpeYot0X68rVzGk/3vzPVNUrn3bpppcHVN9JYlNgVxwmG7zzmouXEAYifF97O8SXR9Kz474kthb8jUmMlvD4ZjPLFocvD9VXM8JUfxxKrxpe1B7kvNeoBfNfdEW/SujtfH6HXN/XNo9hhLchmDcZ9IEIhaB/KvRktsGkYDq1GpVT74IdN9e9ZWkGdTnpeHqVKJZ8nEkfS6ZL5iBt2YT/FciDNkpxUby3WPUZ7VCXOUtii0EaJrZP8Y9kVZ6NJgBPYyIdU0slQXrRMrVPxT73kUgF/+7lewb8ZslM1KnasLGaVJsyXZRSJJWjfRVOqyIQ6HbMvvUzzqk3mguumgCYDhmqF7eHFqRXC3OyGRFcR1GAqUM6MwBsSEIsa8rRMOSMK+WvbtJKpsr9oZDrldCgyPLG8wJzSm+bUdJqbNz3URrfaUIoyzaViaVFKcwbYCoV0giZLjBjksOc1FCnda27gyPTEreBlhTNeufZYUohILu9dpikKSVyf7rnzai6E9JfZ62U08C8CofDJe1DfTqMyHkYYy2XFPTKNUYo5TF17LEk0VmEkjwI/9vnlw/vW3vYFZEZivBTXOz5tNizSXf9VDEVXthATVzJ9CdjIh/1RRbZp1rqA5PmcegmKBN3uJJpREcbMTMcgSfOXQl8KZL9evRMRAkq0d4JCIrq5VPBKbv+RCmb/5n/4PAL71h/8DaWiKE1/3pu/lz99vptS5sXkYKZVd1teyB7aEyX1S9EpK3H+voRuWSzKBMwzZlAl+3c4iExMGuh/HIZFMvKuPGz9ub28QhkP7HZ/4tCkcaK35lre+FYAk1dzzOfPw+cqXvRCAX/v1d+WXSOWw+0ajwRve+HUAvPs9vwTAo4/1+eX/8qsAhIMeV65ekTe69MM4L8DecEuM70jCYegrWcKGndj1439iCiS/9favZLJp7qH67CQX57fkY2ISSf4T8aVeFBOLAOlRJ7HTGJ3Yodww16Hq+twk0582F8xnxXFipw62ByGJKKhWa2WGQvXxM/HjSNOW+35tEDErfrNS93Mal1QuW8MBz9lnaCmPrGxyYML48KXVbSamzPFMSPEEBUOJTY4ykxkBuisxnWRZ/iSrfjuZFj1KacIop/GoLDGX2O+7PpGI2deqFTyJhU8/fdY+cCYJvP+v/lLW1fzt8174WpbWzQPI8uI8A6FG/MG//XcsXb8CwPmnHwYgVSXOPnMBgPf+2Yd4y9eawmuvvc3cVJW9NY2O+/kDkFI2gU3joY2vb/8t409/8eNvYL/sC44OWBbq6UBDJFlrave6BD8rZIchG0JdcxJNQ2hFY57D7YdM8aGzZuKwE8NQ1murGzLMigSlgIFQc7PL1OuEuBXjC6thyDGJU61mlSdN/m+n4K13+pyeM/70cLrOnEwevrq6Y/2pIU0W33VsA2FmrEwgX9haSmyzJy+F+lZMF7Qthh88eAhXBM2vXH4agDCOWFk2/tgfDOx93NrcsHvd/v37WVqSg88exnRsCxY60dQb4wBEaYQvVKpsAmapFNDtm3szimL8QGjwachw2CctUplupGkoPqgqHLSkgLpAS/qJ9z4FwP982yuZlGEF9dI0l+bNXpFGMbE8cCc92eeiCFd8SfUHbIh/9BOHct3EAB/FiX0mb+qsmHvPSTVDadhstfv0s33OcwmliZhNO6s6mo58b4+U/TJuulMPiOSae3I9WsOQFx4wE7EfWF7jqDQhz61sMyO54Lise6Bc+lGW6yjcbBpgy8/nHdl8xcmbdDop0GMLjdddkxoL9Flb3cgfM5Xy7BRV+xCqXHsDKWIyHp3ZS4pFrd1lB62xMg/DYYjn7WV6L41B5djcG+0XiiSpjdX/8c8fA+BXvmeKetbgCKpcWzLxpO7mU8hD2esGvQGeTBYoJaGlBQa4eFKRqjpwYtbcy9Fmljc5DKXI1OpGdjosnkdH9rps+FOVIbHkLz0HTspQja1hmScXZSqwNJ42u0NeKs2OexdWODFt/OnplS3rRxOSvwbKpSf+pLpQ8c0xnn38Ko5Mrra01tRFZaIcyqUkU/fCsFCetFueQqlssl3BFyyN1BRLHRmmkEsBFHyvOOlCQ04tywte2T5cpFSab9urnEkVGpjSuAmq+b2l8mP5hfebffhd37+PMRlWMFmb5Mr1bfN+bVcT3ZP4EKdQMsfuh0N2oowe7+BJbGq4DjeLZMNAivGOowgljm22w9yXHIe+NIjKNhgMrC/1XYejMlSh06zy4FXzfdkwsu3ekFccNY21e64vcXLWFGOfXt1gRqbGTooETTQYEgtgoRc51Gvms6JWhBIqYDaATCUOsdB648QDux/FhfxBDlcX6IsKu9Zpoq1ESRqaKc/GJDcoe0ZkHgxNUs4p1toOECIDUCShlVxwSpVCUVXvPXhhZCMr2Ii6OLKRjWxkIxvZyEY2spGNbGQjG9nIRjayLwn74kN0KUNDMA0Nq/pJkVqXdUsioQc+cm2dVx01VfPW+pBIuoZOrcrRORk/3JNR002f89dNt7FxtMmxg6ab7Wz1WVw3iJWzVzocrpr3VbIuudJUM5HLfsiMUEaiWolBktGYpEPhKjaEHhRrRSinMeYoC18fyg/7amUuCsqn0w0ZZh3PVLN8zXTrTx0355agqEr3OEw1n1+Uin7soYWu4foZXdFQfcDQHEsiiJv0hziZaKfVqS1U6wvV+DSKcEt5l9IJTLc2jTNkl58LyYc7YDtFcY7Gs2L2Ea68XzkuadyTn709hrcqQ82MItvuUKrY9c5F9ofSvX7g6ipfdnwcgPZGRDnrltRrHJqRkcZ9c32bDZ9z4k9jtUlOHjbn6G72WRcx3bPzHQ4KXST7rIqbMi6c105/wDHxt45bo2uReNKFcWFFUIM7g4iudFyCJLa0kY50OcP2Fnd/5pMAfOC+x3jDG94IwItf8grWl8ya75uVa6ZT6tLl/Kq3vI333PsQAAdmumxdM/eCK/7f3tmmPzRwf0dpfEH9uCQ8/8V3mmPbMeuw5JfZ3jT0qsEg5OUvexkAH/rIR/m7D/+d+ZvVdW671QhE//uf/mkAZmb305QO3E5XU6kYBFG312Vubj8A/+t3P2nX3xMqwRve9Cb+8E/eA8Cb3vQmfu8P/zgXjr6RpjEtVaV3+6zK7idtu6VDocTc8/QiX/kcg3TrbyVUBZGUNsY4OFuSc5HYNFbmvKBRL4+XOLDfIF7UZp+2/M1d15fZJ7TQKaGRVZXLmMSFfi/Cl3NXgYM0AylnqBNXsRZnUDGHVGhy445j0aYtiZVHp6pcE5Hgnc6QjlCwXAeWFkxsGjthzsdVDoGgcbpRxFNbGXUrsiL3OTzBlZHpJvbkt2Me50uubF1uhcCVrvwwxB2a+2Df3D62tg3V8ste/VpWVgxlZEMGMWxtrLBvysT2QwcO0GoZhM2P/ct/xVd/9VfL55nvOH/+KX7ohw0K8ud/4Wf4vd//AwD+8y//Eh/5u79kz0yZTrfySnYEfRynOILKVa6PEpr+YMf8/pNnV/gndxhUVHsN2jIIo3ZgGt8112dbaBxjYx7nF8w9WauOc+CAuZ+8rT5rIqb7zEKHWUGICmCHQ80q4i6sdQe87KBBb55bSSyiONuH8BRrgk4IfI9U+u3jPch4Tqs7xodOTNe4JqiLTjei1zfH5nqwvCA03FvNucVaMSZ+vtnrcd9V2ctqZdJ2tqeYf3Qa4Qi6pVKuMjk5K2sZ0myavfM7v/OfAfB3H/prxseNX1y68IxQfSCMBijZ11ZWBjiZ/xURUtk+kCqqDaF/b65SrRmkQJANfOl3aY4JSq7dI5bP1UqhtbfrM2+UabDov3z+RFrorCtBIEG3Za7XJx5f4M3PM7Fp2NLUhbKsg0kOSd60JfSyiYkq5xYN4utMvcSRQwZN5a/vsCl0/AvXu0zbmGS+t1JyaYg4fK8fcUT2wXajREeQnK4EgNRRrEjscVDUhII0lQwsqmgjoyjNNbgg1O2dbsjZobm/HaWZv2r8auKUObdEaapCy1zqtPncuQwJU7J0G4uOoEhNzKO8yUdlgEaGpMHN8xwdWwRGMV81/52hLTIUubYC1kkS2nxEKQri4PkR2N/bAzE5VPJsmuMNNW1odI623691jhwpogeHXXMu9128xpufdxyA/k7KVM3sX1qlHJ0RirWgTUtOysVls9c9WalzyzFz33vbA7ZbxufOXW9zSBDDMl+KsquoCEOi3xvaPL3bqCIAHxxBB2nXYbmdCWdrIlm7KV/hCpJrVZA7p/eNsSTC9K1+yBPXDaVXobm+aPa6qZPmWBIP6uJPlzfXeeS8XDPH5NcATsaE0DGOKwwKVzOU/cssaYFujckfMmST47ikkjsrxy3IuKhsdkH+PhRO9pyiNdb3VMEHi0CvInVR1sRxPdB6j3JxTZrGuf8DOg4tIk2nkT2+nR2zR3300au86TkmxoTd1A60iOsNjs0ZX9oSCmLd97i0Yq7RE/UGB0W6wdkesCWU16fn2xyUAVMCOqTkGdQgQKfT55gMLOvUKvSiDKVlfp+6cE32sZLnUpfYtC8GX/L4dTme5x5ocm7THM92e8gjPZOTuA5cvLwNwMTNZo/yKyU8ueaXtnd49/vulwVyIJF4I/uHo3wrUJ/G+X2JckjTZ0FAFRTpqpkpV6EjQWH5vkU0Zxc+DYc5Bdtx8niDi840egQ1j8L6mE5CHD/bM13UXqGWRzayf8BGiK6RjWxkIxvZyEY2spGNbGQjG9nIRjaykX1J2BcfosvAJqTjkXWSVGHcssaRjs7p00cBaIbwuadMB2aqGuB0TTX92GSNR84ZfaXpcdNd6m72OCSCub1UsbFmUC4omJQOSVcPuN4x3YabZPq067sMhZd/pOLTFd2JfphYREJL0Fiudkil411yHYbCS28ELs+V7vi0cPXLDlSt+LvD7beZc1peWbaF9awp63owyIQAleamQ6b78fmrw7wib5EsRd0tl0yrUjk+Os1mo2evKVPJR9BaWYPKL5MMzVo6XolMzD3TmtBJXv13gyrJQLS2lLI8biXdLNcv2W6lTqNcowsNaUGv4EabUjjKI/WKGl1Y7rkGvIrxjdO3Gl79VOTxwBnTvZ6q+SBio4eaZZ64IN29cUEbbXU5LJ2ibpJazas4SpgU1N5mFLImX37EN/+6KNbkotw212CrY67JTj8m68RsC4JmkGi6crxeycUThEyz5HPbnEEWNEUHpx647GTDFm6/hZkpg2ioVRSNmlw/6QS7jkNXkGmf+fgHObzfnP+l7S5TMj47EdRFL4lpNMcBCPsdEtEK6HW26ckAhcVlg/jyXEWlZtZnslnlkUcfBeANX/k1XL1yGYDXv+6ltFsGkZPpLj3y0OeoNkw3rlavURUdnFSvcP/9nwXg5MmbAfin3/fV/Jt/8ZVk9rznm7HMr7xznBfe+Xzu+9QZbrgpg0C0/wHgpvZnhYvMtuDW2w4BcLhU5sGnJAbVq6Rdc22OTlR59OK2eX0ii00dK2g6UJr1Nen+akUtEr02rayY6rEg0/tTrMk1P31y3I5J39zpU5Kx3C1BhJFCBtep+ArdlcEensMLDplrPukJSqik2BYNC0c5TI/LvVyYap817pSH1S1xFYxXDdpiOcrXZ7eGTfZzrn2EykexD0Uvw9N9UtnGkrjPzJwZxf0d3/VdvPvd7wbgv7/zNwgHIogux/7YY49y7MhhAL7ida/nve81iL8XvOBOzp49B8Da2pp8r2Jr03RdP/qxT/DxT3wcgLd+/ddx+rTxsQcf+DQ32pQCJ/DQSWhF5x3HR2X6b1rjCELmhXcavz8W+Nz7hPGnuXqVcNvEo8PNEo9vZILEMsJ8q80BQTz0U83qitnrkjRlQrr6nTRhVXzgqMh1tPpDRNeZl992hEfnzTq5ykHJ3tsVFHNrEFsEarUckEiHd6LscfOsQTpNCuqs7ELJIkIU4zJUwfPAnRQNGkEbuj704wzx43H8sPmOJx8IUaqoOwU4nt2Hwgh6gqoYDnbotkwcL4sOSneQ0Lku4vGOawXmcTyLslFo7I1c0JjMEFFOELC6uijXUDEc9OTzzHtmZ2cI5B7b2lgjFo05p9LYjbK40aaU0UTPJO+cXDcTNJ4g926+5QAAJ2tlHnraIKFmGjVSQbccmajy6DPm9Sw2DbZ6HKwalGbi+ayvG1/Tqcuk+FubhDXJiw67efJih//MNK0OTjdMcSUHasn+MQwTUkHaBL7Ck/UcC3xecMDEpjnRyamXFI1AkOU4zGSxycmRLplOo+e5Nm8aL5c5ctgc+4VV0CImqLwiUqmAgiNHv2SIFFVANWmdoQuVTdS0jmwcU45bQLIIUj4NybWTCmmJKqI0LFxxFyovn+ezV8LhBVMaUp0jgJSb55RpCJLDnbrF7HXPmTrAo+fN/TZW8ojb5r44MN7gwcyfJG9Ke10mRPvKL5fYEDZFkqZMytfvKM1S11yro17G7jDxCeD4VIOB7HW9MEYJyny7LzpHw5RENqtKOWAgw5Iavme1Jw+KoPlM3TVaTwA4zIi+qucYrV+Avvi2W3WsIPpMvcnx45LnLcZWtyxDhKaJzi91muKKT8dxarfDqhwDQHvHxHNdQGbpJB8IkAJOJsyeaRU6apcmqbYxyym4SLZ+BcQX2g4X0GmM6wa7Nb5ulCklCDdl1yUOB2R5ru/EaMkBb7/dxKZbxsd47KLk2rWAcHMbgKMTNR59xjxnjI2JttWwzwFZw8hx2ZR9ME5TJmVd2iq1g8UOiy+5SrEzEF+abjAQFFcvSuy+uy1MicEwRYsveWXfDt6pu4oXiFbgkZo5nkYANUEYO67LAdH59BxQEt+yZ7swHDKUNamEXQ4dNM9NV1oxaZany31WDnx6EksVMRrR8Cpc5myPMvtMdnHJQX4KVKXOs39h9z4vQKeC2IpD8EWjVKVYRxYUNGlkhendcpnsemqVWrTeyEb2j2FfhIUuVfh/eUUlFHZ4+/O3fONLADi6tMAnHl8AYC2KKUnidbrq8FTL/O0BmS52ol7j/JYJhIsrXW662bx+77kNXnZoHICSq3AzmL/QMkoO1KWgEacpfkOKZa2ERLiJGfTZj10GApnuF0B1sVKcbpiNviyUwAtbfTuV5dBkjceevAQYylhGJTpxyBQzkliTIVRr9Qr3PiRFKDewArfZBB/PL9kHS40mzaiNTkBq4ao5vNTJKFVxiCOBTCcpjpMJ6WpLo7FBUbkoeYhRClRgzk3HQyvsm13FeNgi31Vj+3uUS61uzq/bWuKGmzZUTIVjJ2jpNMTJRHoL//vD3/tqAPYvrfORR4w/rYYRvhzr7VWXc12zpgfHjd8cDnzOtcx1X1xu8+IXmcLSxx5d5iUy0KASuPRlQw3tdDAo+TkEuyfXapgmDIW+cUkora7nWnpsJ9F26k4KnBJR6bpQQi61eraId/WZh5jbbyh/D3z+c2xsG9+48zlG/D2OYh56xAgTV8ba3P/ZKwAkw4RXvPy1AHzyEx8BYGqmyeKCWZPDhw4xP2/+9uQtz7M0wXGhCU2O17hw0YiK9vsDenJfLC4u87KXvRiAZ86e5cIlU/RaWDC0s0a9ymAo8PBKg5tPnQLg4hWPi/K3//mX/j0A3d4OK+smeX7owUc4ecIUNR59+cs5eOAYvp8VUm+kKXNP6WdlDpYylCcDP/C9Zv1u21jlI4+agt7K5g5+Ytbi1qDKGUnM94+ZWHJ4KuC80IDml7p8xW0mgfr0mVVeKCLPZd/BLyT3ANpVNKSgtd3uUpIY47gOS+tC75FrlDqKTWkE+BXf0oaGjuKOcVOYyBoJF7f7Vtj+0GSN61vyPt8hks87sd8cVxSlOPJZ5XqZC2eFmuwrdCa8a5/X3BwSr3T+8K+xRa9S2axJnGjSWJI75bAhCe9v/Mb/oNmUgQjR0Pp8IAWNUyeO20Lphz/8Ec4+/YxZn+0Wt958EoDjJw3N5gUvvJMtecC4+ZbbOPeMKZK+76/+mhddvc5emU7NvabcIG8eEKMkNhlao4kXP/DdrwDgyMIlHrgkheXhDq42Px/Tms9LofHonLmOhz2X80Kfnl9q7/KnO+ZMslv2c6qrFVj2HBpCGbq2sc1RKTKsrO2wuWP+ZiubZoayxYvUcezQE1Vyed6E8Y1Aputd2OxZFzg4VWPR+pNrhymMn5QCe5LaeF0fq3DhKVNwx4WMKpxPMNP5+mlNWSbf3nLzC7n/c4YK8tADD8m5QT17KAoH+W3s+GRjHBVu/sCQDXFA5c+AaZr/rFw7VREZ1tKd7xqB4OxPZD8d9jqm2bMHQr0KuZdQ4BQ/PxcpTuRB7u3f+UoATm8s8vePm9i0PNzGi83+cEtQ4knhPO+bMH5wyPW5LJTRy9c6vP45hnpz1xPL3HnAXOdq4ODJdeyLTwWkVMvmemx2unjVjMalCIXGdkUoQVo5VnS+VC3jOmY9I53yommzt5RlyM/Z9a4dxHJ0qs7VTeMfvuMQyS9uFzpcHKekWSbiu1y6JFRSJ7BNH51kOY3adXlUcdBIRtOxcw7dnCnkenZinnJce/0VAbZhmxbelwnQFx8g5dPlj+VfhbYUtwRs3pLmIud7ZTo1h26LdhotY73rjTo9aYK8/ZuNNMFzoyEffczc05vDIRWZJniLH3NBFmpcBOiPT45xSWhlZy5v8vUvNAWOTz25yosOmPhV8/NJoZE097SCqhTvd4YhXkUGc8QpoRS45ttZV1chYYrQcWwRMdQpL5LJjdmg0ZVBQiLX4cTUGJdln/FdJ6tpMHlAJERSTSSVikQpFpek0eUkdqpgNpjCDK6UxzAFSVac18o2pWOh8CZpSqMhTa9ep0CLNc0se0kKFFgwAu9ZAckUubKYpXM/KhS3LGjAcfJRoNkB7qGZ55C8AOx62VCsoR1U9aPf83IAjq0sFXLwEF84hLf6IU9LbDosA0wOOx6XBJhwdaHN60+bfe6uM6u8RHyp7DsE6W5fUgoadfMZnTBCB0JNHUZ2eM2VbZPHaEchajSMNbH7QurAl+0fB8CV4zq32bM+c3SixhUZihN4Dlr2x+YB8544TknlmWCt0+HqvMnXUEkeb2RK7GAQk0/PCO1+NTl11PrQtjR2zCCNfO2tzxgHMsfruCRx5qfiM9GAfKynsiAEE8+K0xYBPAtocFTC5KS5h9c3t9HsBlOMbGR7aSPq4shGNrKRjWxkIxvZyEY2spGNbGQjG9nIviRM6T3oHu6lKcfTTrm5GymxqzTt2C5F87BBq/zLV+9nVbo4YZJwXLpGN1c0T2K6Bs+ZNf8eqvt8ftlUzVWaUhE46h37ajREjLDfjbi0ZqrwjnSr6yWPSNANtXKJunSNr222aUsXc1FQXDpNiaVqXnEUl3qmY7nZGVgExclJ01HaGUb29O66usJmJHS1XkhTOhaBk49cz7qj2nf43OfMZyWDHAVQHFNPQazSjqwPu7iCltAZQitNcoRVmlpaYRoPc5qjhjTOqCLmeFw/sFD27LwB0mhgPyPriKbxEOWX5TVNKt1j0sh22tJo8fNa6xdxA005nsYf23Wchhqbda8SK+I7edSMl/63rzvByo7p5ESx5qBvzvuYn3ChZLp6p0WUfn/F4YlNQcslCU0RUH7uVJmGCKv3OiFnlkynJRbYfaXs0xma9a+UfPYJjWd5s8v8tvGXZaEzJnFCIsdbcmBe0GFb3aG9R05Mms5VexjjCTx62asxd/w2AC5fvcRgaNApvmO6hnfe8Wr6XYOmurp6icVrRhz+2vwijTHTDb9y4aw57iTEkWsZxyGp0HGq9TG++Vu+HYClFUOpqtfKfOyue8xKx32SyHR5n/f8l7K6Yig/aysLnDh1CwCL1w1aq7W1TrlhvncwCHnLW74JgJX1bX7yx/8NAP/iR3/MfG7U4eChY2YdNtZpCcXhXf/zd/iBH3wba9fuJxzs3NAWpYlNY4CyXTZjIiDr5nSS5iGDePjFrznFyo45tiiFg56gblSfC2UTA04LWmtfkPCoUIKSMKEmaJ7nTNdo1M392e2EnF00SLZ4aD6r4jt4QgOarJftyPTVVo/FLRPr1nvmb8Motl3FhucyL+K4a50+AuTi5uksNsUWpfWxKytsDI0/9npDJiQ2+dIp9ByHhqAKCRSfvCujXRZXMFuzAqx+Vxc5R8rl96eiJLE2imK+/x0/CsAH/+bPOHzkBADt9haXLhsf6veFGnr4KL/zW78DwMUrl3nHD77drPHsNK9+xUsB+MRdhg5bH2tw8ymD8kpSxWfvvdesbxLiCQVh2Lp442OTG2i3Mk0aJjamKkflaFgFaWTi0OQJ0y390ZfNouX61qpljklsavZbXKoa2u/huvms/RXF4xvmmqVRZPe60xNlxjJEcjfk6SWz1yWCTKqUXLRc13LJZ0qo/q3OkE25zxYyxPIwRsnnTpRdVmRPud7q2L7v6elxAK5sdOjLfvrZ6+tsiT8NBxHj08afSrLeJc+hXhZ0hA93f1qocomb8z6sSHdOqXKVi1+RMfLtLRwZzpIJ0Pf6HaJQKJxJnFN1UoUnHf04TiwNMaMB6SS2yKwiqlw5AWmaCUwX6EGWS5KSUToC32UwjEkH19HJ8MbGJrekvdoB4zNZ4z1DvgGoHP0ze8LkTT/15ftZEzRVqhS3yGCSw2mL8+VxAE7vM/vdviDm0YxeFmtqQp8qxqZOJ+TpBbMHRAJ/qAYOidBAa5WAcibc3OrZPXZZqNhRlFrfnih7rAriZbnbw5N97vYZc1zr3SGuXPMPXVpkU6QXur0hU1Mm18vyppLv0RBf6qUpd9+dcTvdAuLFKnznAF3H20VBzFFWqX3NCtCjSBJBsSrP0n9cr0qev2boMN8i7NFJgaYYkQtIFynyFkqY58SWQg9J5/yNj03K08prmK/OHEph77OpiSbrgqLbd9MRAP7DG0+wIfSwfpRySJCcJ90+5wPjR8cnzHodqsDjG+ZvfTTNkrk+z5+p2Lxppz3kzILZ61LZ6xplj6Hk4eWST1VQ8avbXTYkNi13zdoOh7Hl2dd9h2fkGWGz36ckCNDniXB5P0rx5W8/cHGR9WE2NGNAoyEi5kK1rJY9xsSfNntDPnV3W9bMxSIos3jk+nYvi5PUUmTTYWqHamVoVLS2khFbWztoXcxZJd6oOKeS5o5a+Hm3v1gaYxabFBbRpbXOB1jgoByPdHANnQxucN7ka7c0LfeWSJ24fv7MoSMbW6ePmfP/L28+xboMLulHCQcFHXhYDZiXHPHUhHnP/lLK41uCKo4iauITz5vO97md9pBnlrYBCIUxUSu5hLIW5SCgLNdms91jRXxlRXwpihLrS9Nln0VBP691eyhZw+fMmmPf7A0tsvkDFxbYjGSQVGfAjNAYA7l/y4HLuKCnWwP41IMmfupEgRb6q9D5K5U6vZ45B0c55m8AR1VJ0mxAWPb851hUshk2Js9xjl/YN1O0zv8eoFp26PdMzphEg5ymqFPsFAQrO5P7e3Oqxphcl2vXFi2lkeTKDY9NIxvZs+2Lj7qY8bkdZSf6aZ3ugpNnMPPTzzF6Vi+9eZa/e9BQU/rdPjva3Jz9Rp1ANosHn14GILltH1NNE1i2NnucmDaBp+IZXSUwUPmZOQN/3VgzG+34WJnzK2Zj7zuKUBISx3VZEC2CMNPBcRRCtGAtiTmU6QB4HlvZd8j7UwVDSaZecXKODz9jihETY2W8LGhJwGr3IsoCUT6/EuOLHk1CTu/JNjk3KOf0Cu1YPRPHL6GTPKmDjLaRJVCKLDFzPJ9kmE2US/DKhu6Sa23FaJkIksax4XQDbm0s1+vKprqUmrl4iHLtMThe2U5x3AvzXJfxyQnanY5FaceJthxypbC8+Ze/6lYAXnXrJH/zufMAbHX69OQBIKyWBZgO958x/nTnbXOMVYyPtXcijo6ba1LyFbH4aeQoDh822kJrq2YjC4AVoZCpEmyKVlaoFVeEYqhkjTzPYUs21iRNOChw64ajaAsdJdR50jSQB8FZZ4gSalNvZx5P6LLZdMR77ruH595kHnqG5dN867d9MwDv+ZO/4vx5Q6F93Ve9GYCPfOj9hAPzvlq9wtyJ02YhkpBDhwxt8MFHjPbRL//iz/D85z8fgP/wc//O+uGjjzxoKYW3PecOjh0zhYpsKtGxUyU2ZZLWf/z5/8BWy9xXcwdm+cN3/xEAF5/6AADf+wO/QifTTjt2M4sL5no8/cSDPPC5j/Gm1+/R3pqmoLw8OSXNaSg6tb5056vM+rz69Czv/6wpFm60uoyJHMdwqoYntOD7njD3/J23zjAhOg/bUY9DE/LA5qWEcv2HpBw6bIpom+umeFp3FRfWzP222h1ycto86OsUlkR/KZZifKI1bYGr70QxRxoSm3yXTYlNfcHdpxqG4levOj7HB88ZbaOpZtnSbjPIe3cQUxP689mV1Go56ShvWKhMw2GX7k0xMc/za8tyVBBLotccn+DP3/fHAPyz7/8Rfv2//58A+L7HWMPEpp4Uuq5ev8o7fsgUty5evmyT++WVNf78rz+06/u6vS6HDpj7II5DsuFCtWqduX2mwHT20YvsjbmGyWlpT2VLFdJolGgd3fESQ+N9/Yv38/kz5ljWWy22Sub3k2NVHCktPfR0HpsmpQixuRlxSPY9z9V2euJQwaEjxp/WV81e1wxcLok/lVTOOE9TuNaRxH+YF06uy0PBQPmcmDDXYVw5tOWhJhEqXYIikiv70qOzfOyCoaaMj5WpCIcoe0BoDyIqsr+d3U7RgewXYZ1U93atoOM6pHKQiU5JuiYuVBtThAMTTzY3jH6g8hQqe9hyHLwgo+kr4iR7mPTsdmgpSKRFolpe8yC2eYpdKNwC5U2LJhMMh8Ndk8dupGXURa21pfFCcWKeY++/l73axKZXna7zN5811PWNdp/VWKa5TtfxAxN77jtrrtGLbplkRpop62sdDmcaRiQMpWY3TBMOHzH73MaaiU0NT3NhzexzfaWtds0g0VwXTbA0zKZ8QUviXKg0B6pZ3lRlM9NJknOIyfOmrzh1gPefvQLAdKNiC1ye/LvTD6lK3vTwxYHNX8w12l00NYWAnD6YSxbpAmUs00gK7bRPnQ5yqpEOzX2cnZT9BMnn0LbxqJwgL1w4QR4jtRR2tYudjKYcQHIDCtqHe2IZ7U1JAycr+pr7YX1zjZtPGd3A43eaffwFtxzh0w+bHKA9HDKU9eoEgb2fHjlnYhO3zNiJz4NuyGFp9PlohlIkDdOUQ9LM3pC8aazsclFiU1/BMNPm07DUk5gmebhWsC1xbqU/4KAUFGY8aIk/7UTZlE+XUB7kX3fTQf7iKZP/TDXKuJl+m1ymrfaQuuQxj5zp5YV310dltGHJt32/ShSa+z/wfYaiJamjoj5SXkzI4hTKJ6eKObku3C7drSxeObaobQqzOUDAyWhoBT/O3+3YCaNKY6Yf7gUwQilwfDPETwouSZLgZUUUPHsPvOLVzwPgpbfN8qF7HgWgvdOjIzl2Mlmx4e2BLDad3s9kw9yH21sRB6Qw6ZHSF18YpCmHjhhfWpeGbM1TXF4XXwLqUlgaJrDYNWsfi0aXchXbks+Hw5D94ktzfo2NjPove/gg1qSO8aXXnjzAX50xTbjpeoWKxKFsn9vuhYxJAfXhC2Fed089dJrFKWPdbgfXEZCC9khjs7elaW/XxEPze431H+WiMmorRRpjPv06DU3e1Iu03UudUjPXl4tzzedcmFVZmYtOd0AQGN8ul8oM+rv36JGNbC9tRF0c2chGNrKRjWxkIxvZyEY2spGNbGQjG9mXhH3xIbq0Jo1j080uCD47GcwVjZJO7+tvNd3DxV6fkiAh/GFIKBXyiz3NWNl8RijQ6O2dIbWyCBtO1ympfNpEWzor1zs90p1tAHoZYiYckkrnpjN06QnNY35hg0Sq82vy+zKao00jCD1ebdgOU1IuMSEdpljQOmGInWwW9mNeMmfgnx87d43GuDmeSUGENeoB1dlxALbOr6KH5jx1qsinRAkaQGsc+TlJnYJ4boGukb2kIBHov3J8cDMRxDjvFBGDrE8q9Eq3VM67DkloUWNpFKJEpFAPRVyxQIl0lANCKdGOh+uJCGSXG25+EHDw8EHW1jZpt6V70+sQW5FhTabw/7JZc82ud2PKIgoaDIbWnxa1R0laLlWhiu10IpoVmWY1XqUs7SbH82ilpgOysNMlbZmpoJk/jdV8GoKw6sSatnT6Fpe2qEl5ekm6O14UcXOGlKgGdITSOFUK6AkKJ0NotF1YE6pst91HP2FEmK8t7VAfF+i1UJGatR5t8d2FqyEf3bgLgMtXLtPvmq5Xt2UmrpVLFfyaoR94QcCmiLUeOXKU//X7f2heF7rLsaMH+dP3GuSNGzR5xUvvAOCxxx+nUjFrfOL4TXzvPzWIm69+7TGebd//Y+/kB972febcwpDHHjUC4X/7CYMqeub8PG/5+rcCcPXSo0xNPReAkydPcnAa/L2KfI6Stlg2fSq1XX3TjjP3zusOGvTDtW5EZcxcu0qYoGWgxZJWlOT+rJbMZ7U6Ec2q8Z8j9RIVixr1bGxa6PRJJDb1I0FeVT0aZUEvpA4XNwyC4sr1LTOGDNiSTq2P4jZBfI2XfQZZx7JSYs5OrjP38Xys7eTPWGtetd/E27998jJjk+Y8pgVduK9eoiGxafPMur2nzHJk3ebCaxnSpEDNUUWqlWWBKWJ5/+bWBocPGvTgO3/9l/Fl3Xu9AQOh82Zdd+0oFpbMcAvHcSxFQxUml2U/hDF87oHPAVAulxkfnwbgxNGjPPHUU+ylKVdEiW2X1cnFrjVkvarXHTEUm3MrmwxlL6xWNY6gIjZ8RVmGomSxqdWOqAuN/9apukWeeo6iLZ3fpU6fpGWQXH1Bzjk1n0rWqY2hIzSe69c2qcrQg9U4mzCsea4I24+XA0oyYGFqumGnFGcA4m4dtNCLenHC191u6KJ/8rknaWJi0uyYibv7G2ViuVfWL7YgkvstDHPfyWiFDrtyhWzPGvS30FkKlHWmkzCfKqWgIlOlDhzZz8KSQVP0ui27RWaACK11PoRFO4XpqzntwyIVdYIWJG1ReNzs0UXa7o22gmyB+Qns4Bhlf3/nhPl3fmdAUDPnXxqERDLR8FqkGPNFskFOc7sdMSH/cbgWUBLkivKgI8iMhV6PZNsguQaCmNFVj6pQjztxSlf2ucvzmzgZjVGQELPlEi+W2FT2HMJhjkKfkX0zEyePfcW8CEUnKuJV+43swN+cvcD4uPGlfWNmr5mrBqwJGmNnfYBOzHlq4hzIlYPgyFFens1plHIM4gWsU+x6TTl57pWmaCU0RqdRAIsVBMEL00ftd+CDk02SLEylLqB1MiSY8bW97WNnk/8yxtJulrljh8l8yxtvAmCl08WtCGq0H5JI3rThONSyYREivdHphjSFonhgrEzZET8NArYFWXOt3UHvmNiU+ROpj2x1tCJNW6QgFha20BJ7VrJJ4FHMKRGdr5dqRNmwDbfEnPhTNlRleZjQEn9LVMirxZ/e/9R5KlXzhTN1c68cmaywJdSs1nof5Zr4pxzHyndkPuSplJkD5rOuzl/BFRT3vmPHWFk0SO4kkdzb8/J9wLxb1j3fI7UeWkRhTkcsCI/nhAzzH9mkUHlFk+Z0RQ0qQwARYei7e4Do0si94Vk0JUpZVoXjeTZmvWLOPMctd/tUm+baVQYxrqz9Eg4luZfHKuY+bndCquIUh2slam7mSyVasoYLnR6x0KqzKZphycOV8+3G0BEZh8tX1y0df13WqhKn3Crsn33NKlGWN3llpmTiQRabkpLikkhGJFrzShubzjOpzfkdaBqf2V8PWAvN524truM4wprROdo0GzCmNDniLsXSPbXjoDOEKMVAliFI2eUHFjXqFND2kkulqS6M7Y1zlLLWgjLMUINmanGShPZzt7fN+rquQrmCXBwNXxzZP4KNEF0jG9nIRjaykY1sZCMb2chGNrKRjWxkI/uSsC8+RBeA0qhdulyapKDjlPHg3/Wnpgu/fPdP8yM/8VsAOF5AlM0ULvm2i1OV6n9tGHJERlWHYUwwZjqIfcezY8ePJAkXWqYifVR0TWIFm1rEessu26JLUq+XWBDUgyMVfRfHihjvRI4d/Xtkqm47Pp2e6R5c6WzmQ1sdxbxoFJVcz4o7B9Lt8BVc2hTkWlyhk/Ggk9h2GTPkm04iEp295mEbiKmTC8RngoEK3MB0FZKwY/W+lONb9JznVXIdmUyjIoptR1NrVeh0YjnhuKYrk6YJ2czd1C0RyLjgKByACJXuhTXqNb7sVS9hcXmVe+99AIB2Jx/drJTGlU7g7/7lgwBc/sxP8cBP/gkAfqlMLP6UBr7VNGiIr9QHQ6bGzLkqFygZf+k4HnXRPzquUs7KdT00Jug1R9kOUK0UsLBuft9sVDgnfzsp17/qldg/Zfx0pTW0cKV9zSq+3As7Iuj74GobV67ZWCnliesGSRb1EiaPGN9pCOJjvFbivmcEFbPYJq0YtNSBA0dxjxq9ssvXTNex3hwnFOTh9Owcly4YhNVTTz7CW0WM/hd+7j+Y8yl7/Oy/+3cAXLi8xrkLRu/ss597zMpZfNUb38R7//jYF1wvkcbgV3/5n/Pf/vtfAXDsxK0QGDTRgw8bvSv8cTZ2zD30zv/2L3jjm/+5Obamx8c+9lHm55e/4LNviGkH0JCJfyq1S2MuEwP91T8w6LjVh36RB37GoNs83zcCuUDdL5PJeTQF8VUfxkyJ9s0gGuKIqHbH9ahK9/sICRfa5v480jT+EatcNqFaL7O8YZCL9VrAgsSZJNO5qvq4gtbppg5InDo6VceXONMSEdjzrXXiLIaolDNrxpc8F8ZFB6Msnc+SC3fdb9B/yTAfW266zkURetAF9APadAYBkjTvNtqA9SxNkWvXF+x/e4IKjVONt0ubwqBGM381Wjvye/UPaNsoRaZtMQhj1jfNeW5urnFw/yGzJmvceNOaZDDIWq4ApHE7R58pFycwP/+P95jhDosf/0l+811/C0Ckcq0st1Sm5kunu258qD4YMCuolkEcMVs3ftaNNDVBZh0m5YKIgh9piuajUiRJHpuurxuEYKkWsNAXTUa5TPvHSlRluMnmMMYXZMaLD4zjyHl0Rfz33sUti5pwlebzV8y1DDyH8XrmT+a6l1z4zBnjx0k7QYcZaiq01zITjE/jCDfTWXzFa/nc/SaOp8nQogRVtssWut9QotMx99LTz5yzqAKlXIvYcpxMP8lDJ7kvZigc0zjPUBgW/gWipbJLQLyIprjBZpr9qSAWc8RGDidKyBAC73zP/QAs3vUTPPjz7wHMPteTa1v2XGpygTOkfDOBSUFm9ft9nJLxq77nUW/IoJ844pIM3jgi2nDGlwQVUS6zIEN+Go0S1wXd58m6OYAre1s7UTiCLD85PYYjcaAjul4XultEGdggTXla9OU8DROCWC7LdQlcxWOPm+uswzJ5PIrspcmGi0xM7mdH0NdpOgSVaW0VIpHVbSssr1I58glykXqtCnCxfwDJp3IUhlJJLlBu0a1FxKuyB6HwBIWzh+boXGsOBFmW+3KtOg7Au95nhnr8yw/8GE/8L7PvKtdhIHlxo1Qlk7mamjS5Xj0KGZO90lUpqiSxyfWpitD70Tjmkux1Bwv+FAsScLZUYnnT5ErVRsDVdqb5JgM6Kj6BMDnaqcKTver4dMMieTqSN11d2KYnMc93FGdWNuTYsGLhJXm/k2rue8igV9BlyGKEqwrafOaf7jCms2DinKM8EkHCLly5lMcFL9cJtDJIGrIBEkr4LWB03rIhDBmyBnIUsEKjbRwrIl0tRDoXo1e5AKNSrh1OtRemNSRxiCe5Kcq1Axmifg9f8uZf+QMzCOb6gz/Dgz9v8qagUqErsakaVO3t1BTWTH0wYKqe7XMJyJCfnudTl2t3JIm5KPvc/ppZv1gpQmFEVMo+S5vmO2r1EguZzps8P5arAWOCXu9qFwHmcWK6YTfDrgxiuHR9m2Gax+CzmS9pxZR8RjZEwXfgQ58yObZS1cIzb0J+32drpu3dp3WEFlSiKuVrkpsiG7Ch0xQtaDVVbtjP1Trfm7QVMO6ggpp8hltAfOUoLWtOgkqyIKyo1wzqfDBsoTItsWcf1shGtge2p4UupdRXA/8d85Twu1rr//NZv/9XwNswqnhrwD/VWl/9v/hUwN2tibgL7a/tTflPvsJMlFudv05H/iBQ2k7YURpbpFCyaZzvJ8zItKcohU2B0p+cnbBJeBfFwTETXCqBCYrb/QhPvqOKR2wngUWk27F8hnkw7Q7ypPL6TpeTM2Zzr5Rc5Os4OGde+/qpOo8umweJpxY3mK2ZIPMMG3QHMvmqLkWZagUlSWMwHsCGfJhyckh7tnE5DhmdUeORRiZhcJS2a1kUJUzjTHSxhNZZ8SpFSXEr1YN8sEt2JdI4T9yTsJDww27YNSgV44qAp1IuwzArsnnoYYu9sp12h49/8rM8c/asTQCMQ+UPJ5Lf8LWvMVMAh/MbtKQwUNYFf1I6hyxLEn5+kDItFJpBnLAtvz9eK7EtSVQ/gcPjssEJXXGrn9hhA6U0ZZ+olD/d7TPsmfedlOJWyXHoymuXNrucnDUb+VjVZyj+fVgm901NVnlsSUQqPc2G0BwXOl3WtmTK0aRZh1OHnsMrb70DgIuPXiNIzGccOXyQp88+bT5jwkySeXppwa5Yp72DK4UI1/f4+N9/GICV1XV7XG/4qq8B4B1v/2ccPHQcgF/5b7/Ff/yFdwDwZ+99L2/6hn8l71sB4Nf+63/hN37jfwDw4EOP8gu/+EsAHDgwx9P3/zpFOzJX423f/UoAfuwnf4vDR0xB4qkzT/GSF72IoFTihptSKNeRYRjiS2mSC33qxELEv/2Nd5rfr21bIeVqmjImBQbXcXLaoMSmC3FEYyhxRWOnSJ2am6Ddl2RKO+wXClG1EJsyilVFa6alwNrtD+z0s5v2j5vPjbXNea/v9DkmVCG/5NjBYwf3mde+ZabOY8smOXzo6gpHJsxnnN/cots3H1KqmTc1ajWmpmQy5PaGneYjC2fWR5bMVS5JYoMQ1Yopsne67fwtck/5vk8iCbjv5SLfY81xDh89BsAjDz9CLMVGx81iGjnFw3FtgdpzXFvEyUdCRuTxQBHHWRFOc+nqFfbKlKPwqiWSQVoQo/fsBF3zIGt+/uY3GJHeznqbLaH21NMh49WMDq6IQ6HIy5Sn83HCpCThynFYEKrXoYkaLRl+0UsVB+rZVDHxp2EuvB4kKfuk+NofRgyFFnvHMTOsZRAlePKg105SZit5Y8iXNZ2bMa/90JfdzCPLxqc//PhlTkybxPj85iZbUiApT8qeVw7wS0Kb9X3S/Am/UFyQYrOnqNSNoP7nH3myUOdJc+HxjF6YJnZfNI+BOdVIWR+ICxOGjW8a/mV2z2s7jEI5FD4vM79AYcpFzLXWOI4i3QPqoimHOLtoTobfIg8y2rF501u/6vnmtzt9dsS/SsmQRuZLaDakWO645l74fDvlNZKHRKmmLVIHR5t1ukKhjoOAw5I31aTAsNkd2IJ+Rbvsb5r1HA4HJJtmjW45ZPadMNYkcTbBOrb7XKnkEclQnCxveuvMGI8um5zmgctLHJs0vnRxa4MNKY5UJqUQ6np4NXMQSTu1cgtoJx+EKD+0trft8ABDrDbHo5PUNjFsMd0r2TVNE23F5k2OKv7jYpuB+eRnv3CNHPs0mKRR7ruqUPCyRf/itdWwayrfHph2TKXHFlSUNHoArdnZMcWet77cUBdd6gzkAV4NBlRKspfFKYQZ3cmsS1snzAk9M0xgWx7EjzUCdiQ37Dsu+yQ2ZZTo7UFimyhBrK0MQ68/sFNjb5kbByBJNKIKwNXWgBPiT5WKb/3pgExj/yfTDZ5cNTHo8/OrHBgzf/v0+hqbUgz3x8wxJEEJT8IC24l9qKdwqTLKtClGmfeVKhUGAxka5SjLkC1JE94IeMv6FaipOk2t75iBE4XrY160NDYTXXIfsVP1KLwfmTqv3TwnTjWOUybZExKQBmI8v5JTdpWywupKObZJ/r1fa2ITa1u0JGGopiljMs1cpdo2C5Uy99X5NKEqTa0hsCEPWTc1AjqZLIzrsU+o8DXZ5zb7MZ4cTylJmZO8aTgckkoB9bZDJq7EsTbNemCpHXNCnunKJY9Qmk2H9o0D8M0zYzyxZo7hrmcWOCnTGC+3NliXKbflbIhFrY7rbwOQDCNUobCeW6HonYWuJMV1s+adV/ib3LKpnUq56Ky3Q5pvoNoAIiAf4pomno1djk8eK5VCGJT570tllJM/X7d2TDdQual9PhrZyP4xbM+oi8pkb+8E3gicBr5NKXX6WX/2CPAirfXzgL8A/vNeHc/IRjaykY1sZCMb2chGNrKRjWxkIxvZyL60bS8RXS8BLmitLwEopd4LvAU4k/2B1vquwt/fB3zn//XHatDRLjqHQtmSs4Fbmr/87T/9NACvOlkhFGjrdLMO0h0ahjFtUcKdFAH6iqtYlBHpNx2coivdo2vrLRoCIa5HIU5Vxp0LFbAUpeiSdJJK2lbTF9ZjpgWNkwE7HU+xIw29lW6M65kq/rSj6WW0P0FuDRyPGUHYfPiTD1s0Qao0B8ZN26jmm8+/HjlcfdzQy+JhSkWoKMN+mI+otiNlS3adapWAjlAt0zS1sHg7DR1tu5RuEFjBzCSMrQC/61etCL2lIMURbmCOLUFZSL/y/HxsbZx3M+OwJ+tTRmUUyziytMkCA+yG2WAw4OzTzxjhWHlNFXG+KqeTvPPdBoL/utumCAVtM9OsoUSMORzGDAUNMikdxoqjudYyB3762Cwd6Vxe3dhh3Dc+UkkSgnomLitdmG4XZTvDLlXpjLhgUTaJoAY2hxHSgGRzmOBtG3+a9RQD6YQN5TpEymOsYT7rVz/5kBGXBHBTbtpvupTjgro4v9nl0Q9/xpxPbYLrVx4D4OMf2cFVIsyaIWX8su0ZXb923iJuAGJZk2NHDHKrs7PBQ59/2KxZlPDlr/kyABauX+GrvsYI0L/+ta/i/vsN9Xgo6/vGN72JesN0ypQT8Dd//X4Afvd3fp4//8AT5tp8uRGd/7o3v9J+/4c+/FEc8bejR49z9z330e50uOGmNTpT1rZooXw0tnI8kG7Xb7zbrOub75glFDTe/sk6um+u3aAfIkAIGp55f8VxWBL6xdEDeWyaX28xFgiNORpSEhqjJ0iycqwtasDzYEJoXMuuy4x0KXvSjYxTTVvLcIVuhPLN2s84EEpMSyomrkQuTE0YH/zQR68QFWLTQUEojgka61I75eozpsOv04ActO7Yn7P7ThMzOTkOwNZ2i16/OIVid28mihImBUk2GEaUBalXq5a5cN6Msq80Zul3Mm5hJgiuLapGg0W2xKmyDU1P1smc1m60hjlgx45n3wtSh9YKnTo4vkcS5hRwxxPKQaKzo+ed7zH+9M0vOUDYM3G0Odkg6Zq168UpoZxDSWjhJAmLO8b3bj02y44IN2/2BijxrXKSEDTMmvriT5VkgJbP8EoeJVmTJUcxJ3vSuqCi4zhlzDGoiKVubIeMDDsxHYmRbtPEs0GimZa97uOXrlp/Uq7ihHTDx8rGry6nA3qLgiYeaBz5Dp3mSBZtUQopnW2DCh0bP0goArk6gaCSIa+zYSuORV0qx0WngvrRujDwJld0toL32mFszMSm1tZajkxwFHbP1TlyK0cuuKRJJiqscAOHPQB0meNVsRx6hqaGzK8dJ7Eoyt/4I+NLb7qtTr9j/Gd6vEYqcXiQJISZ4LOg9cpasyjo4NuOz9GT/XGr02VMqGQM+5QE/ZcNikg1OJIZOX5qZQJKrsf+CfO3SeauStOSY1xsR7i+uWbTLsQSm5QgbfoKJifNG//qgxdIJC4nWnNqxqAwxsrm8x/b7jGU8KCjIhUvR9vk+ZNXoOs5FjWjSWxsz4chJPn7NLjZOccaxxVkhlY54sde+KJ/xRbxp3SSR037HTrPV7T9HwzabO+oZmBQGkUqrCFWCMVaa0oiNv/XnzLUvLfff4ZQKF+Hp8dJWoamSpKgxUc8Of6yo1gQfzq2b4q+UMiurbVoyN+6YUQgKEPPzfa/Lggix/EVgVyrVddhVmJTdonDOGVdEqf1foLfMv406WDlH9Ka7HWOotk0b/zbsxftOSsXjonUSU1yrJUwobci1GbXswgzlFNAW2WvuWR7UhxGdnvyXJdA8rAoztC8+WCCXUMRdCFgpAVGRkZhTNN821T5fmv2vYzemsUxDRkVjhzJiKdEsmQvkDjKoIoKz26ib2J/zs7wV37fPNN97XOb9IUKODtZs/tcP02IZW0bnlCi0Sz3zLod2Tdpc/Sray0bm1QY0WxkCDLJy6OUbLKB4/tkGe76tmv3uaEcb5im9CS+L3UHeIGJaeMqIRVf0hKbQkcxPmFe++unzlsEeZxqbp4z6K7xqnn+u29xi7gvaDXHya9/AZmb0eiV9u2QE8d3SGT4jEr7KOfZSDCNI1DaJE5zEFca22cvo9iQPVcXrrvEvDQ2ezMYBFmGindKBZF7nfu+xRHGLmmB3j2yke217WWh6yBwrfDf14GX/m/+/p8BH/6HfqGUejvwdvmvG3N0I/v/W9vtT6N5DCP7f24jXxrZjbRd/rRrwtbIRvZ/z0a+NLIbaaM8fGQ3ykaxaWQjG9k/lv1/QoxeKfWdwIuA1/xDv9da/zbw2wDKcbVOU6N7YREA5HIqaNvJOHZ0CoBXP2+WAxOmov2Be64wEJHv6ZJLu2cQFCtCjfdLHjftFwHu7R6xaOYcm6jRlRH1O5FmWoTAPTmG7kAxLR2dZza6XBdUDTo/tki6kSqF2ap5KD42U2NSNJ4a1RKRKKheXdkGoBT4rHUN+uTQRJ3FjunWB8plIEKIftUcb2utSlASoc1ag621XmGNs80k16hR0s3o9odkI6rRcUG3JFvSfIx2GsVWHHqsOWaRMfGwY1/PxxPHVlDScUsWdZdGEY6g0NI4Q4o5eVdBJyhBmGid6RjcONvtT55Gw1d91Zdz6eIVAK4tLDOQa61wOHb0KAC+Y871Jbc02T9u9N/++p4rtOTwxn2Hftdc96WeoPvKPqcPmnPtt3okIvR+bLJGT76jNUwZq0jnSBbB9RyLBDyz3mN+01zLmuOgpcPXFu5/tztkTrpRRyZr1AVtUS/7xLH5vIV1o6mSak1bUFi3Hprk8qYISTsxbUE9NqaNsHup8UrQd5vjwuXw0RPmeNuP0ayb7lRHfHN8bIzFRVPXVo7DuAxxuPMlr2FCEDd/9hfvA+AtX/cWlldXzfs7HX79142+VpJo+oJouuvv1/BlDLRbzjpXJauP4jouDz74EADnz7X5N//m/wDgX/7ojwHwybvvYTAwXT43btPumw7bffde5VWvfGXeafp/aV/oS9KNz0bJGzV183Oa6x+cOm40g15yS4P94waF9lefvshANA/GPei2zdr25NYMSi5Hpk2Hud/qo6Xje3S8Slf0RzopVGVEeyDf2/EUUyXjS+fWu1xvmTUuoaiXc3FnAJKUcRGjPz5VZ6ZmYlOt7JPFjsvLWwB4nsu6DLw4PNVgoW1+LimPniCCVGAOfmmhBKola5YPvEDlyANtUVOKrW3xq2aTjsQYrSOaMlJ8u7UNmPtlS37WWtMTjZOt1hauJ6KpadeikbJx8aabTeEYig9u5niiqKg9UxDtVfbVG97g3uVPbqBNp13l35NGFqnkBlZYg2MHTSf4Fc+d4PQho9f1F3dfZCBrOuFouq1u8fRw/BI10ZJsbXRIRedkphzQzcaq9xNqfibanfvTjOx1Zzf6LIh+lk+ub9IVP05TTUOUpm/aP8ac6KA0qx5dQRadXzD+VPJ9FuRan5geZ178qR6kFhXaly79M5cilMQFBrnYMipHRKlMG0tpbrr1dgCi4ZCh7JvJYIua6ATtpBmCJrHXWieR3XuK/mFey/a4XJMoFnTyxOQcw6E5j2GUFPbDzJ9Sew0LwFcjrl7U8/5/aUVfcrxAtvUURLsMHZAJWms0ruwbJw6b2P2SWyfYP2Fi01986gKDbGCFp+iJzk2vk+9zLxkzCKneVpe0KoNWJqrsyMCL0HNpBpmwvORNnmJWxOqf3uhxLfMlR1GXazNMxd8dGBewyU37xpiSHGysWqYjf3Nl2cQY33NZaps97/j0GNfFl8qOT1/2z4HoiF1Y7FoZNY2XXxTlfOG1SKNiYkR2Mykcq12a+V0ax/lnOQ6xMAkct4TK1Kq1LqBYnPxj7TAc7HcYBKkgLAQ9pjUFQfG04I/qRoemL8jDUa5okOXrkemUKUcRRmY9jok/vfZ5YxyfNXnTR+6/SiLozrqrae2Y2NSW+Fyq+ByZNr/vbnfR4k/HJuu0JMfqo2n6mWC9OQLXc5iQmHZha8CCMBXKOIyJLtyWIF0cDU3fvPHEbIOmCHaNVUsWnbMoeRPKYb1njvHo1BiLcgxjrsdQjrkyYT7/sYc37H1VFOw2UaS4eZg184UpEgQuKSLSnSQksfHZxph5jtlYWbV+4Xhu7i9KkUYD+dEBN8vlfXvsGepLqzT3Sa0LzwV2gynEJCXDYpCBOjeuuPnsfU4JQyfVmVablw8KcfL78Kajxpeef6rO7JjRzP3g5+bpy7CIMVfT6ez2pXIl4OCU8YluK/elm6drtAXFPIygJPuULz7cdhVTss89vdlnSXyphMOYPLNlWr1Kg8xq4eRMg2lh/IxVAvoSD66vmNjkeR4rHeNXN82Nc0X25UknsLGpJ7Hi7NkWUJY1252l2KFf4idFLbN0EGOf9VRQ8ME8j7FAQ4XVcEan+dABnVh0l93uzBea97lV0aNFvksG0cj2orzEajg6jk8ijpWGOaJ5pNQ1sn8M28tC1wJwuPDfh+S1XaaUej3w74DX6Ax3+b81JRDOBMcNii+bf7RnN5kr8waP/sC5FqfmTIDcGUSU5IaLUodGxSRZ7Z4JYrVqiSubIvJ8qMqMBMV+qFkW4eZ+N7ZTAcclcfN8j5ZMj5odrzHWMA9Za62unQg0L/BZJ4pZEyH5I9XACmOv9wbslylYsSQBKzsDVmRTnd/qUGvIRL2xMmGWeMoDyLC7Cqk53u1eizQT/HOcXZsbgO+XrehtGof5Q4HrUYS/m0WN7SRL0JZq0e62Cw8VDppsOow5XrcyTjLMKGIpOs6KfwlJPJC/MQ9oOo0LYq6KVKgGfhCQ7NEkqsw8R3P/fQ9RHxsH4NZbbiYom4JCKXB59ZcZGtyP/siPAPDYn/0LDk8Yf9ruhZRlY+ijqAhcvy+Fh2o54OyK2dTuuGU/kzKBrBclLMmGMOgnlCWpz/ypWvIJhbt2YKxMU5L6zc6Aac/47ELffG+v3WM9E7ysQiB0sdYw4siE8SctSdyl1TbrUkw6u7hNQyZCHp1tEIk/lYRCemX9M+ysm4kwnfUuMzP7ASiXfFZXlgCoVM06be+08CRhi5OYYWhO7p5Pf5yywP8PHz4JQBr12doym/5Oa5vv+A7DWH7XO38NJfd0aydmZnYfANMzRtj6ro/8Lp+930ygefef/CF/8Edm8uVXvuG1NCYOmO84akLOwf1TLCya8/jpn/5pPvj3pmD32GOPs9PukaSFJ8wbZcoxAsQ6RWe7vVa5OKfnk91TFy+Z9Xt8IeKo0Pxa/ZiSQLr7qaIUiK9IbGqWS1yRgueJQ03GpWgwSDTL4m/9bmynJk7JNfd9n50sNo01GKsb393Y6VKTyao7WfHLUWyILx2sulSl+NEaRuyT2DOQh7SVnQFL8oByZWOH5rg53gPNKkN5mJiQAROp2kHHBaq5LbgnOfOiUNDOChetnS1Lr1VKsSPFP0fEdXWa7kqWso8aa4zjSjzxS5Nsb5nC6unbTHJ85ulzhQdWbHamUbupy5A9TWYHlhdCAL2nqZqSYgTYh13XQcl9ptw8rl++sgjA3Y+v8erTplC90YupyMNmz8XSOrv9bCJwmSUR5nZrVcblQTBBsSmFz1Y3ttMrmxml03PZkdizr1G2gvfr7T5VebjotKVo7jlsCI3tUDVgTIqza70BB8bM9enJhM759S5nZQrsmYUtpmdMnJtpVuiLwPCsPNBMjTtcvyYP1X6aT5hCFZ//ANDa5cL5Z+T3Kb5McEvx2ZIJonbqosofRrVO7fACrVMrNoxyUVboOXuwj+nLXtfrbuUPDioXebefhYtOQvtZxYYdjtrFRLpRZmiwKn84Ni+isqcdR1lfvjhvKGUPXdzilgNmf97uh5R1vs+Vs9iUmJStUgl4SobmPO/UHBMydbgXaq4PhJrTSfDHpfAqsalU8ml3jX8cmKxTb5hrs9PpUpdi+WWha+tBwsbAHMOBqktN/G6t27d5U18K2kvbA65vmX33/GqLcZmOfXC8ave5uUom/dChlXh2HcgElrMiM9jhAijXCkKnSS/vYurE7l15SIjzYQZpXgRy3NLuCqeNN1kF2i3EQienviunUCiRGOCkkE1XLIjP28LvnpnxJUOny3LLpBAN87VLtLmPH7iww01CQd7qRXav66WKQPaZnsSmUjXgyqaJTScOTjIh0/G6w4Rl2Vt6nQRP/Gk6MN8VlDx2embtphol6yPt3pCa5K0tmZiuexHrMnRjtqqoV40/bPb67JNJx0OJtYtbfetPVzbb1GXK475mzfpTVfK1W26b49ElmS6ZM8xQRUHwbABFqm1BcDDosW+/yXm2NjcJJebta5g1S+KE1rbQ/3VcEJj3CrRqCgOLcx+wLEBdoE+aD5IfCo05Ox02L9IrVbjOe2GOK0L6sremiR0wYopeZhHPXTF54xPXIm7db/KYzV5IWfKYgYZylmNLEatceKY7eWTKSnN0w5R14UW3OzGe5C8TslZByWdbntlmG2WaMtig1R1Qk31uRyZ7+2nKpsS5ST9kQqRnNgcDDsj0x1B8aak15KoMbTm7vG1j09GJmm0mHKyae2buWI2lM1mMyddf4Ri6NHmRKk1THFuwGmDlFqKhGd8IeSG8kOdodN7wSOJ8urBbKA9I/HNK1TzmpfHuXCmbmCn7pOsqUtmvo8KTveO5e+tLIxvZs2wvuTYPAjcppY4rM//0W4EPFP9AKfUC4LeAr9Nar+7hsYxsZCMb2chGNrKRjWxkIxvZyEY2spGN7EvclN5DtIxS6k3Ar2Ha97+ntf5FpdTPAw9prT+glPo48FxgSd4yr7X+uv/tZzqedkpNwLGdT6cA2TTQ22F2APKP5qO/+u0A3PXABTZFELOeJAQC851oCjKlN+CwVNhDDQfHRDw3TXGlg3JqwrEog6UtoVd4ijmhAXW1x4p0f3SckKEX7lo0ndJ9FZ8FGSNbKZf4ylsNUubqRp8Z6W5vdcw5/OzHPk8qaKpaxadZMed5cbFFRbpgy11BTezA0WOGXnbx7DUcMsFXlYvfimlyiP2+fTOWprOxuV7oHFhVSwtnVSRMTRsodbsbEopAbRr17chkO2fW8VCZ6Kry0JFQZ9IY5ZvumeuLiLBObStKOY4da5smeStAD699Xmv9Im6gKdfXXnkC3/PIULgKxR133AFAkoT80A/+AADf913faN/36d818gJ3P3yNLeky16IIX8R5m2Pm/DqDkLmauf6DBI5Pmte3+iGe0BBumwnsUl9fN2tUDxwOCm2sp12W1o3vuFojzSs+eMV09w7VK8xvC03P9fia2w8CcG1ryMEJ6Xq3zXr+4t2PQCBIwFqJ6br54rPzO5SFChVPGtF4vVmnL0ifStCkLLTLnXaLIwdN5xG5J5547BFiuVb9Xh9P1uH4Tc9nStBvl+cNoFMph5J81vLKOjMzhsYX+Hnnbqe1zStf9SoAlqQ7um92ivf/2X8D4Fd+7S/4qX//swCkyrPozhe/5E4Arl46T2vDvK85tZ963fjhxuYOrdYOceccadK7odgJ5Qbaq82ZbqQMZnA9lzS7YA48Gy2p04SH/+iHAPjEfefYEvRWNRwi4D4aQglqdfp2nPpQK45PmnPa7Me4rolTN09gkSeLgv4qu3BMYloPn+trpivqpBolKIAPXloH4FCjzLYgV8MUvvZ5hrZ7brnFkWnju2vSEf/ZTzxEmh1jJWBMuurnF7epStd0NTLH270eQyxir4UOreflsTSjiTUa47RarcLKfiF1OUOfGISDUHVrFYuk9DyXNDF/86pXv4blFXN+zzxzRr4LrAAvKViR1wJNLWukmmBJ9geWSl2gfqT9+T2ITYF2yzMoJ7B0ctJhHpZdbHc1FTqyThMe+8PvB+DRc8tsC22s0u8h2xNjgn65vNJiRijTYQpHhN6/0Rna77t1OhPKhoUNiU2+w5zsQ+3EYU1ij0oSi3T64GVDR7xlusqWIBMq5TJfdZtBXp5fbrFv3Pj1Ttcc+zv+7B4rZFuv+DSFmnhuftvev9v1pvne+T6pdNCTgUaRIRocK7KboZfSBBzZ6/wgYCiI1iAIiMVHsnHnVuwX0ElohX53SSWkirp07PuD+Aveh8YOOkiT2NCMCscD7i4ktEVLa4OWTvrz6GRwg2NTSXu1fYKayMXUlZOLAuepYI5S+uy7vguAT37urM2banGEL7SihtAOPdfhiCAiBimcmDKvb/VDsvzn9mnfIjauiy81PIdZGQTU0x6rkjc5SWLzk7+6aFB+B2oBy5IXlUt53nRxtcvsWJY3GV/68b/7HMJmpFkt0SyZ5Xx6YYuaoPSvtwShuj7Akb0v7Vaw8Uan2F5wlksWBaHROF4mwTDIf46ysUPKoiLSJLS0Q+VUjEj5F1hOg811ixRZnErTyK5JhhI2SLPs+8q7KUqSx8XdCzc+NjmeVv64+Q57rAlKZfeDjVg2d/yhH/5RvuX0NgBPX2nRGhp/qg4H+HKOVUECdsOQ6Uohb5oyr28NIjsM6aZxRSrnuCR7XcNzmJEY0sNjeUP8KU1wZe2y2DRX8VmVQTBByefLbzL+dG2zz0zD+MOGoAl/7uMPgdAcm9WAmly+c0tb1Crm2NZTQY9dj4l72fVpYG/2IorF0mNzyJdZpwyl45EKsrDWMPlTo9Gk3zV5YLs33EWDTIUhwa5BF/mALotIdByUtsGH3Zw0DErIIpaLlH5thisMV9BpeGNjk+NrtzyNcvLcRSkX189E0R3sGllaecJDv/t9AHz24XN0hI5eDYf4sj/XGiZfaQ+Gdp8bAkcnTJza6IX4kjfePJHTIxe3cl+ak9jUxWNNYpNKEpTEtL8VXzrarLAmvlSrlHndLSY/nl8fWF/aln3uxz50rwWNjtdKTMtAlMfmV60vLfTNv51rXXRiYqlhd+bXztKEC/6TCmreUymxULMJahZNnJnWRUB7jqRDp1b6B52j5e132CshOVjRV+xniAyL59pYqZOEnB8e4wp6PO5cvuGxaWQje7btqUaX1vrvgL971ms/U/j59f+PPlioHJbnq5SFS5oEM9M3yKgCKV/5Y+8FoDxW4ae/7SUALK5tMxSoaCCJaTUImJIHSxVqAnk6aJBwZdUkZw+3UgYZBVBgxyiH9ar5vhNTdSqiVdJXCWsCbz0k09AeW9phrGaC8HY/ZatvvntuosYVgbSOiRbJrXMTPLpgHtJecLxJWx6gG3WfYzKho7eYTQNpcfWSoXalUYpWWZFIgZtN7ijSh4TDXq6xunIRWSy0fhZcH43rm8Q+TWFD9HN0kuSccVXCzSaYOOZvk0EbHZmHCuUW4fgJOpailxS6VPFBQse2gKJ20ZluvDnKoVqpMd6ssS0P191ej0cevh+AseY4P/lvfwKAJ58yk/3e8LrXUj9tNtn/9jNv5We/6xUALKxuMRSOvdSSqAYl65vTnodIsHF4osTFFbMGj84PyK6UK5S/YZSyLEXPW6aqBEJHS7VicVvoa0J5e3K1RyCUyUGUsi2smPFGiXn525pcm9tmZ3h82YAnj+yvQUaZbIacOmwKmPNCNXhmfpl4U5L6iTqdjimsra4ssHj9sjmG44aOWCkH3P6cFwJw72fvIcqmaaLoyUSckydMEXZ9Y4cr8/MAHDx4hB96h3kwf+e7fpsXvMDseSePzRILHWmnZfztttPP5W0/9Iv22iWSLSivRDI033H/Zw1F0Q3qlErmoXin3aMudD1XR9SqNdq9vQGzGh0uV2iKplCaFVFMESB7CM/e4fDC734XANXmBL/2A68GYGFl09I/tUzqrJVrNjmZ9h0iSV4OT7g8LUX0xzqavtB+PVm/RGuub5lE+I6DE3bSYncwZGnbeN4tM0b76vxWl0AewrphzIL4z/R4jbNLJqmbFQj/LVMTPLpkYtOLjjVpx+azmuMBp/ab4mUksW/Q7pFsZMUEaDbHAbjpppO0RGNradEUQlutzXydULuKTHkRKvt9vqZRnFMtDh44ZPUD0ySxVLGsWGsKYnm+brVKNDndyGpcPOtwyPcVbrB+4C7TmjSNUTpGySQsQ6fLaHG5Jk82xU2TcMf3/CEAjbGAP/n3pm90fXmDnUwjSOL74ekx6lLg6bSGDKTgeHCixNMLJql/4vqQnrzuZpMfgRWhUt80WaEssSlULqtyvbPYtNgLqQlFrD3UrAml8cDUGOeXje80pWFz03STM+vbANx5Ypa2FAyaEwHPOWEKZA+Lv+54Cdn0QOWCg1C007hA9TLL5CrNyZtvBWBtbZWaTCPeaXVAptkWH7DyKamBLU5pHLP5Aa4b2IJqNlHRFMTyBpHOKsAaUlk3p2TWwXFcW0jUOrZUOTNozKfolzfazHFlMSgsTNNyCnt59oPLK3/Q0MMrdZ9f/J6XAbC81rJ0qyyBrKbKTlKsJopIcrBDYyWeWTL34eODAR2h/HgS265rWJa86eapGmWh2ISOZkOKViebuR5cVaZudiNY65prtn+yxsU1E//kmZLT+6Z4WPKm55ycZFsacs1Gl1sOmdi0fcnsGcN2gh5m1MXC5FywGkX5ZEGFI1MStQ5tgRmdFxuy+KHIG4Tm/sx0RyNbhHeccr7gKn9otBqPOsk1c9B58TYrdKXguFU5Vs9oMAGWzrhXphwcr2oehlPJ5RT5PUmS+5E8kP/mO3+d94kMQRgN+N0ffzNg/Gko2opZkbpereE7UiAn96cDdZ+LK8afnuoqOjKZ1ZN77LqGFWksnpioUpbmyzBSthBxvJnrLlUyOndoqN5gqNLXRbs0kIbdLbMTPCWx6ZaZcTqy1010u5w6MA1ANGPym4+tPoTqZ4X3tLBXFQX4sn1s9/6mbTz3jB4cMJDCfL/XzRvOnpc3e3LpT7R289ezehdu3sjRuQ/tijNWH86xfqjIJxMbepxmT2KT1Po0Ki+aqly+xFFFmp5Q6FyfF7/9jwCo1Ev81o+YvGl5dZuB3Ou2cVat4Yp+1JhWDGX/21/3uSI6xk/2oJdksSn3pVWpaJ6arFKy+5zDesf8zSnZ557ayH0p7Gs2hD47N1nlsjzT1WSvuWVygodl73vtTdNsD0Xvrepz21EjO7B9zjyL9HyXJMnzDVvnKjRNdaFwqSQnjKPYaiKbGFaILWT11YyCiNX5M/lrgZafTaa2zTU3z8HSyO5jjlL5s6V9joss2CJOyam7yiGJRtTFkf3j2WhM2MhGNrKRjWxkIxvZyEY2spGNbGQjG9nIviTs/xNTF//vmTLQSJUacVUAlRY6b4WegypWr82rb3rlLXhZx02pHEIu1e9o0GelZar8d4zXuSaChpd2+nQENv+yU7M8LggKR6rfSQKxdCOeXOsyI5CeSlBCCT1yS9ARUxWfvnQPBmHEA5dWAAiqNda3TSf9gKB5zq1sURdoa3sYcV3QLZMTZTJGxOayHAv5ZAvSGC3Ho1wv70wn2cSMAF86FEkS5TKZCpxsckead1HSpCfLVEVrER1UQ4uqUzrEERH6XdV/gbHedMutXLp4znyuiLkWTeswFyhMI7Cdh70VLtQ6ZTgcMLfvpO12+EGVI0cMfW97a9UKl//pn75P/v0z6kL/eePLj+Fo0y1yXMeiPRC/0mFIxkGbchXLMlhgcTNhICLNLzs5w+Mrmci2+JOj0QIhfmyjzz5hEFV8j1S6Ni1BN0xXfHpZJ9BXPLVghjAM8NgUsfCjE6bre2V7y3Y513f6lKZNN3K8EeDKeT7++BXzZe0SDaFg9jsrNJuTcmqKuWkDzV5ZNyifwA+45557AHPNAjnn1vYKL3/jmwC46abT5t+bb7XT8373f/0ef/03RrrvB97xdi5eOg/A3MwU3/7t3wLAN73ViNX/p5/7p4gGNp9/4ArPPPWIOaer14gF3n377S8A4OCR4zSEXnXTrbfzh3/8bgDSZJLXfcUb+Mv3GkTZjTVDFzENXLn3KIhN6yQX79R5bNJyj3zta27Gs5OGlB0l5cnkn7DXJ5Z7dtIpc33b3Pfzw5ih0MPuODLNU6vSjZYYNAxjGoJMfXStTUO6u7F28AVNsybd6tnCxKmKdnj0mvGlxHHYlKlDB4Vydm51y05t3BmEzEtsmmpWUOJLy1cF/RkplCcXLw3od02cu3btOhvrBmFYF6RNpVylb6ee5jhOXZR+t6yNHF5vpt6ZXywtLVrUzTn/Ak0RuT50yAwruHDhvG20l4K8kx5GBbqSRQblVDP9rK623gvl8PzTIU3QJKRyzRzHtfuewsu7shY9kdMpv/l1NxELckYpLLJCiWhs2GmTyj1yqOJxQSbTXd+IbWw6eXiSM2smhgS+udb9MCGRz3p8s8+Ml+11Ho4vg0q2ja+MV6s4gjZNdcyj10wne4hiXfxpv+x1F9ZaFgnd6g25JlSRqWaZUESql6+bY9FD0IJaUWkFVE4ny8R5M6SJxmHfnIlXa6srtNrmvtFFmo8dpBLlk6YYgkzSc5VnmRfViku5YhCi6+K7irjgCyrPPRywyEB7hHrXJOGMgkKaoOyImBttGc0kpwHhxAV6mSKbvKyLLiV/8PoXHkFlFGyl7MTmDLladSEUlNE+12dZpopdHcZEEptOHZ7k8RXjYxn6azhMiGRhH90YsF+mtJYDP9NbpyPDUWZqAZGTIWUjHps3ax+7AWsSew6I1MTTy5s0yuYYtwcDLm+Zaz43VScQ5MGGHAtxPjBEJw7/UP/XTonVkMrMJKUctA4Lf5OhmWRt3CqWiuYGpEmGskoL9LIiIrTIlc4FnzNf8by6vTb5MI5c8F6pLuhy/nq6h2jTDIajsJRNnaa5X7vK5ppWkkI5bKyb+/8tX3ErjuwRSZqiM4qwJ/TXbpdAaGMzrseqTNC8FibEMqTg+YcmeVKuoQB16fYjhoKmfHJjwD55vVwKcASF2BKE1ETZI5Y8LUljnrpuji3xAtZlEl4Wmy5utKjI3rvdH3BN0ML7Z5v4GdWLCQCcxEWn2RTEEjmKS+dxOr/x8vtNaSv/kSaxfTbJ/UbZ2K4KMUWrwqQ8Vdyfspjo5DEGJ2ds7HpYcgrvyemM1k91itLe3oxe0ebz0aAspdPNh3J4DmmSUfMFXewGNk5/w5ffhiOvJ1qTZqgwuUf6/R5B1XzYrOOxIgyD+X5ELIN3Xnh0iieEYZHFpnAYE8q6PL7Rt75UCvyMIMO2UGYnSy6J7I/DMObRqyZvSoMyGxKbDklsOre+ybhMZdwaDHhqyTAlZqcaBOJLa8sygCMBZWNETq80t3yOfrO/z57kHCdHqSsXLehA9SwKo3kRHPnbJC1yGosDNDLqYoId14iyr6OVHVJmEdGpKgxEyHM3x3VQMuGyoEwzspHtmY0QXSMb2chGNrKRjWxkIxvZyEY2spGNbGQj+5KwL0JEl8Z0yfLxqMpxSNN8xLFFL+lCZVpaF+2Nbd76nUaw+s8+8RRDaaf0ZGRxP1EcFd2i9SjiyIxBsWztLPO8Q6Zjc+/FTRzRZuhJBX1uqglS0Vc6wq+Ykv/dF9ZoSUczG5E8VXXZCc37Tu6vsLRpvnur08eT735y03QXXnbTIR66arT6leeQyjlVazN8+oLpQGWCimEERFnLzy3w9qOsWWvFUZXrUpOxxQtLm3iB0TOK45DpKfPz9pb5/DAc4IqWi6NckjTvYmadpDSObaHfFxHJUsmjKlpkzbG66RYAbpAL4upExOy1sugNhS4I4+aaNHuB6xobG+NVX/56Llw4Y/3pe77zG7nncw+a8/Vcq027JqOdUR5Hjh4DoNvZ4DtedzsAf/Lhx+nLOXZFKLkVa2qeiHuXXE6KRsUTV1c5vd+gmj57aQsEeZEJl09P1tGudD3CGF0zKJq/v7BOS9AWTfGnscAjkG7KxFjAwqr5jM1hRCLn9MDCNgAnp8Z5/JrphKfjigvnrgLw/W//YbzZ5wDwsQu/BMBMdYaK+Na5M49TnzEaXsmgx8JVo9GFaGp4fpWssTk1PcXcrDnPA/vmePTRxwC4736DwLr15hPc+WKja3bnnXfysY99GIAgcPn7jxhJv/vG6jzw0OMAbLVMN/f3//guHn7kYVmfJqEMUGg2m5w+bTR4ZvYbJJ4CPnXXXQB89O8/RrtjOvqxdnnm3NMMBpmA7w02pXM9DABX5WiAFHKh40z7JxdC315Z5Rvf8XIA3vv3TzAQ5GRnKMgs7TAuyIPNsMeROYPGe+zKCidmDMLkgaubKBFm7UgnfXK8jiMoHhXGVkD6s5fW2RFB4AnR3RqrVwi7Zm0aVdjcMfdeJ9J4ZfO+p2VU96tPH+XeC0YTUHuOHebgB3XObpvj8ZSJY2FfFW7gFPlaWttbzIlfLSyv2t9b/cWCqLGJC89qiRea0mmqLbqhP+jZfWB5aYHlZfNXU5NmzRylqIoo9U63he+V7OdaDQqrDZ13yZXy0Un288CipPak061c3HKDNO7mXVSdIyWU4xdifKabkfvflYUOX/9jRkPvA3c9xQBz/XpDQROrgFS6zamjODJl9rqnrq9xcsYg4B68tmP3uq5879REHVf2OvpDgor53LsvrrMtsWlC1nZuvERbboe5qQqXF0wLt5WAJ8K7T6ybY3j9C47z2XPGn7ySZ1FDXjDGJy8Zn0s6clEGoNK6nHIBKYkiTTPEjeg8Og73fu7T+WuyVo7jkqa5xhKA43kFJEyeHmnlWP3odntAW9DdrqCDkjS2QuHKwWrboBw7KCOV+9EhR1hT0MpEmTxG74k3adPVV1HBWQvfo3LdsCIiPotdSZTw3V9pELl//OHH6CUyKEXyGL9eYlri8ZYacmDO3NPrV5a5WWLT/Vd3QPRzuuKjU5NjeGXZ3wcRnvjSJ8/nvjQle9+459ETDcz9UxUuL5mfW8MYr2zu38cFffiqm49w3xWj+ef4ntVzRNf463sN2kKLNqrjlqAo1i0oBE2uN2O1g3SKJ4M/4jgsLKEi2wBVhn7QoV3jNA4tEtP1yrnWkuMVrkM+UCnXydFWJydJhuZYd/0tOYReO2jx5zQt3hN7YVqYFIXvN7BR89skyvc9K1afgtUvU/yTV5vY9JefPENHNMtktgMDJ6Ap59JOQw7MGn96cn6VU9PGnx6c30GH4k+ynuPjdYtS1sMYV7QEP31xg20ZpjApgvdTgUdfvrcxXeXysvnydj8mkGEqT20YxM6Ljx6w/qR9z+avqS7hHjKav3/xB39tDj5yyRCimZ4wIKjBLMfN1sSxrJA0Ta0bpklauH45OtSKscdxjhRP4nygBU6+3Pa6OIU7PaGIBsslwzJUoJPHLp3rLuk0KQz82gvLtMGy7ygccTQsIG/lftIJLuY6b6yu85ZXvBiAv/zkk3QTQVYl5j0dPJqi99Um4uC0eY7bbK3a2PTAfAsl4u29tJA3yZAKBiGe6AN+6uKGDNmASRmSMuF79EUv7vi+Okubgv7rhjY2PbRk8tjX336ST5wx+bN287xJlWr8zeMmNjkySSNJdCH2mOdeswp+fn9Zn3Ksdp8BXGYJVy7ilvnPsyK9HeqQ70vmc/N1zzVMM79M47jwGYn1t+w9ThCRhtYZLdrTcT3KZbPuAowc2cj21L4IC10KjYOj/MJNmRQCdp6oZjBNnWqUFA0+/tA8L/rRPwXgv7ztVSxdMQ9XU7LhLSTw1ILZ3A5OlaFpYM4hKS0Rrk8dl1SCTChRqpukjEti7uqUS2sZtVHTEnhsKAnUsfEy+4U+1okj5iZkAsVWwnWZYFWV359dWacmm3WzXGKiapK+WqoZr5vLtyZC0+YcJdkOKaxDeRd62qxiieEwS7YCCx13XJe1dSOEmEpSWa01GIhYaDJs774WGSRWpTldL6NG4dJqm/NZWl7Dk40yjnUuXCiJm6u1pXvoRNtg6joO5bKhCe7sQVBstVp86EN/y9hYg1CE/n/vD9/NieOnAOi2t9kWCk0UZ5tITCx/++jKgOf/czPo4D+/7eUsXjJFyWl5VtrxK1yXyYWDNOZ4U6hErmJTimGOH1jhzVCSjKFSNLPCKVhBS6VStqVwOpBk67n1GjWZrhalmplx83p/C65sGN8IPPO5Zxc2KEkxtVEKGJeixyN3f5gn+x8BYNI3xYD+zjbbcozKdVlYXpTzL1IrzL9xPEBJYrG9ucWp46bgdPLUzdz5UiMk/eu/8RsALK6u8dFP3G3OXcFvvvM3AXj5y1/J+95r7s2nz57lLW/5BgDe98dGgP59f/lZzp27AMBfPP4IL3iBEb/f2XmGT3/aPMjO7jMJxPd893fDa18DwMzMLP/1V03xrjE2wTNnHmIwENrKDTYtIrxZEqK1sg+Q5pk2m0olDuK4NkH46ANXOP6dvwPA7/3EV3PtopkaOSMCvwsJXNuWh8kSqElz70UoK6TrBCVbUO6Ln8SOoZsClFFcWM+oWzEbffM3faF7TNZgTuJqu+RQmTIx7epmnysbJi5kgtGPXt2kJg8V4+USkzKJbsKr8tTqFXNsvWq+LjaLl3gBlHyPdkemQ5ZM0jgYhKSFKUDVuky46/cLiXcGky8WoVQBrp/THEwjxPy8vrEuf+vQ7pnzGR9vkE3t63b7eBlFr5dPT8tM6wg7zSounNOemTa10ywP9Ur5w45OId29hSunQhqbWPHJBy8z8w3m3vrQL309Vy+YvW5SChLLiWJbCo59J2EoMa0XxmyLOLfyfDtMYyBC4rHj4MleV60EXJLY5DqaHdlTnFJGJVE0pKjcC1L2T8oktY0hlzeMH44JNf/z88tUpUE0VvIZl0LYlO/TrJjPXV2V+1Yl5NPmVE7HUWVyIe7MV/K9JU6GdgKV1tE/WAyw9CBHkcU5jWMLiOb2MMeTJNm97ZPGGX0of0hVbkCSZHtkVgAP8kJuGmHHAyoHx2GPyIvKUH10gT6FQ154Twq1k+xhChvmP/rAPCe/zwjTv+tHvoyr581D/3S27mmFhY4UnnyNFrHuISlLIgKuAt868mAguZTr4MgXVwKPS2u5L7WkiBa55hgPN3zGskJIGLNvwrxvsJ5wVcTDx2S62qMLKzTlIXSyUmZmzBRF9zdqNBpmP9/uZ/6T5ue8q9CYV9EdEUZPd4l5p7ZxaJqp2VqKfyVxoWDl4QmFN4n6tmCl06gw9CcrlBbok0rhSO6qlENx0h6YrSNNM38PUI4UeXWwexLoHpjKJgZmvk5OadXasXRQG7x03pz+m8+cY/qbfx2A9//sW+lKgXtC/nQ5USyYtIlWoCHJ9jrNSk/upyCwVLfeUKhtrmvlHyollysy3dNVKS2Zjh0JFeyIH1CXWDgIIxuboo2U+S3jT3WZ4PjIwgpVKcg2PI9p8adxr8xTZx4yx5PVFRxsXqTTXIzeTOy0PEVZJ22F1iEljTKKWT6cqTgoJZ/c6NjPdTzXfrkmMbGKvOBgmNRSbCsWMgoTH4vT82wx0nELA9hVgbJ2o02OQxdK/Loo4l+Ih1lsVo71pY8+eJ3j32ukKf7gX7+GznnjS03Jafqpw3WJJY1AWxpkjGY5i01+YKcGhpkv+S7/v/bOPNqzq6rz33Pu/Y1vHurVPCaVCiFkrGAICAkoMqiAwBIahaXtspe2bftHL4XlWmp3OwHtgEqr4EQj2EFoFGVhUAGFYEKmylBJDa9Sc9Wb59987zn9x95neJVBF/5e6tXL/qz16v3qvvu799xz9z3n3HO+e2/Nz2a1XMTJyJaWOZh6xkHnd/YX0MtrJksrTYxy4rFWbv3YvVKg4z945gKGOPzDpr4KRtiW+pGgf4Df6aa4XNqE5+iSCcpQV669DhPrygJWO3FCcHn0YwfoS/q+MJkagsmHxATgdFnWahiuS5UWfEZha423TXcXrUnDrVN21YRusxG/RwrC2iKui4IgCIIgCIIgCIIgCMKG4ApUdNHiAgXFcyuobhUMtCrg43hm7s9eQWAUsGPrIADgpTuruHkbyae/8Y1jfGyLC0vsJqEM9o3QzPtQtQQn6Km3MwzyKtssp5ldvriMbf0spW0aDPWT+98D55exzBL8jGfeC7UGyuyONFzRWNlKqoc9lQKmWRI7XadVgMFKCTt3kGx7cnEFhQqpG84225iZZYloiVYE8k4HCc/GZ2hDF5zM3YZVJXbn6OkpouMzDnfQy9E8aw0NxRL8tEKuLK1ObdVKVFBUG7iojDZHWFlgdZxKtN/34uQ0SlVy1cvrK2GFwSszOlGW5ZDq3ECjVl8b9Q2fDElahk41OrxSWEgT7NlLKqRGawnLrK917g9Z1sGhQw8BALZu346rdlD937CrBzdsJnv6+tePUvlNG/NsOO3FDNsHqL4KSnm3j1qzjV4uzUKN5fptYNNeulcLbaCP1TLnzy2gxumPLa829XU6SPh7ZZtgftsgXVmpgIkVsuW5Gq94V0vYs4vsaWqphkKZg9Q3axh/gpU+bVJuDZU3ocWKPEAhz9xKDanQgJBSXScpBgZJEl4sljG/xEGHCyVcdTWp4w7e9h0AgDNnzqCXXVp/8Affg/e865UAaL3q9leQ615v/yhedQe5N77qLgpGf+7iJPLcreBm+Mb9h+hzbQlJgepn5dwsAOADv/RBmBYpdiqVik8kYbJpDA4OYs3gVbCwSgt2T6G/ucDz0RJb9F2Fl+yn9NJXjZVw7QDZ4D9/8xQAILcJplllNJBr7HNuh5UUHVbbzC83Mcorz9OsWlu5WMPIHrpfM02Dfg76/q1zi1ji1cuMbSlZqaOfXXo2mwTTm2nfal8JF5dpiX2OA8lXigW8dP9WAMDFhSUUSnTe8flFzC+we1jBqbgM4JJYIEWJt99112txit1gHz98mKshi9xeFOqsvFAI7mNBdKGBeGXSrViaINc31iAtuCDWfokarvtbXq7j9tvI7o4cPYbFJXoOxjhRw3KthkbTpSxXgA6Bf9cy4LNStJpvk9QnW1Ga3Vbg7MqpJcKalUqoz7KdOvbvJRfi/VuKuIETSHzpniMAgKxYxSQH7B8oKGxzLhu9Je/Kv1BrYqzM6mPux2oTNYzsobqbbwH93DZ96+wCVtgmMw5sX+5JUOGg89tshoVdVKcv7e/BRXaRvbBMz+lofxU7t1AbMrG4ggLb8fhihukptgHt1DIWNnfPVQiga0w9JFNhV8skTZG7OksK0VJ4vKLt+qHcr+KTKTk7NOF7OgkqCzfsyPNodTv3fSA0oJSLuMtujp2lEDA/Ui4kpd7V7UFXUaAWNnY3Ca5kJAHga/Hrn0HxkRuDa/ePAQAObCnipaPUprt+rt5pYobb2OFygt3sgzZcLXnV29xKE5tYqV5jten4ZA0juzlURMtiqI9cWr55ZtHbm+F7W0SOao2+N5anWORQEtf1VzB5mM49yf3ccE8V+3dTeS8uLiNltegTF5axsOCU2awOKRRgOs51Kyi6Il0bUg6639vbi94+GtuduzAdVAy2HcZITkmV6ODOGgnpdFIJSXyCaBA+ML1FCOKsIo8xmweVlgpKMhfagWyyypvrQTWItcHajBN1+CuLEgdpKB8wPwqUHiVL2rOT7t/+rQleMrILAPDP/0zJaIxJMbnCQeNLGnu4XRmsFJCxPc0vNzDKiitnKytTNdy6i+7PfBsYcH3d2UU0eMBrE2rziisGVc5uszlPsbR9EADQ01fBFCvkp7w9VbCd26b5ehOa+5OzK23MT1EZ+jnhyeJ8zav6lLZR/djI1dz9tpFKT3n3VygV1DfGJTsqhCc3b8MnvFHJM1Vc8UmUhnX2YjthX2uDDM25Ltqg+rKxgkxhtVdbN6EXNADhfYGapRCsxEaqQADsYun6QYW9u+ndYveoxrXD5E1w7zfIlnKjMVmj+zlU0tjdZjfXStGP6RdqTYy65Bfs4royUcOtu+i4c22LQbal+84u+PbLjcELKwZVVtX35ik6+6hP3NdTwgS3i4scBH+0p4o93A9OL9b9WPr4fAPTF/mecVIWW2sDNn5Nd/c0CzbmKy2FtaxSVQmUV3rFLqH859grA1EjpFTwNohuuLVUOVpb2BKrUbO2tzGTWWin/jIuUYkB0pCIwuQ8/ssttm+n5/30sRMQhLVGFF2CIAiCIAiCIAiCIAjChkDZNVtBXBuUTq0qDpIPuy97CHSnVOJVQiGgce5XgukY9Pvq23bhJ995EADwYzdS2vlPfv4+zHZoh33DClt4ISFNgZG9tCL+1UcuYGJmAQDQw0Hapxo5iuwTPViuosSnGy5qPLVEK1O7WPEwMDKI2hFSkNWzHOBghT37t2GGlTnnZkk1Md1sQhWpPA+fWsG5SY6V1VYw7F/uffl1imyZV2ug/YUqlfpYEmNjpBiprSyh0XLfL8E4pYkxPs5CEG5lMJlTVUWpjJFHsQbgfbBdWuSRkRFMz8zC7aCiuBRBycVxqhR8OmCYVggdkIe4BcjPP2StPYguQvY0gERp5C5YotY+qLW1FgVWn7R9DP6wGlIoFDC6nVQte65V+E/fR6ql995Eyq6Pf/rrmMuoPncOWuzm68qgsOUq+t69T0xiam4BAFBhG5qoZ0h5haQnSVHgALdj5QKeYoXErWO0wqhLKewJUsVMrLRRd0qvAztwlmO+nZvhuCTtJspVuj8Pn65jaoFWWUppLxKnduF7U9IVnD5Gq2KVagWNeoM/9wTVBD+DwyNbMTFFMYBuuulW3Hnn6wAAs/OLmJqmIP4PPnAfAOA97347HnnscaqT7Xvxoz/yXgDARz/6W1iq0b0+fuQxvP/9PwcA+PBvfoSu4cwpjG7ezfeiBZPRvvV6Ay1eYXOpzsdGh1DppdXtRm0RhgNqLy8to7evBzMXH0WntdLVYDgqKdikMgJrQ8p3rUphYdUFhKad6bfJaXUOrjmjna995T782PeSqf/0K2j163//+b1Y4JW1PYMKu3jVv1IpY3DnIADg3sMzmOKYcj0ca2qi3vbqlr5iCT1sz6OlIo6w8u5qtomR0UHUnqJVtuV2B8a1TQd24Pg0HffkxDwAYL7dRC+nX3/0XAPjJ0iZg0IV4HK6FeF8KYPlS7fWekVCX08VGdtds+HiL0UrjHFMIaVCXBLt4teZEKc9jiGilE+KYaEoqCtVeNiHYzkVixUfH6xSrmB0E622zk5TYNgdO3fh7DmK+zExeRFRgaATsrFs+XD326akZNOerVA6iVLMA/A2lK7q12hbiLEC5H7Ve9/LtuHH3kIBe3/2zdcAAD73ufsxnVE9DuqmV3RVygUMshrmX56cxATH0qo+S9tU0QmqvPo8Vi7gGPdf1/dT3Q+NDaH+BKl+FhptgONuDVy/Cyc40PN5bptmmg1k3J88cLKGpy9yYO2WhXXZC3htzrRbQMZq4jiWkoIfCzgRAN2jWGEZYnAFm3Fxz7RXz5F6xvVpq4N/hzgkdJIECTKOS4UkjRbIE98WgJUZShVCv5l3ojgoFEvFtCdgTavLbVPJJtVtHGjdHTpHKGj87LiYQDqojKKgMFdfvw0//nbq537yju0AgL/+0sOYZYXdzv4cO9mWqpUiBvewLT01g2kX54+vf7KRochqkmqSoshp58dKRRytUX+zjdvH/tFhNA+TLS02Ot6WBm/Yi9OcvOci29JkvYFc03HvfWrBBxqHTYDMKc45CH6WI68HqaiKFC1OuZfysXIbpC3WdhCetbA93Dj9rEl1OMo97/tst/nS2Dkq+t/q8TrFpmP1rE6CohWAU/xky4+vQdtUtEl5jAS1TmVpg+dA/LzFyQ+8WsRaP/bbf3AEP/Jmsqef+56XAQA+9Zf/gnm2p+19OXbx98qVIgZ2kkr1/mNzkT3RYacbOVK2p7JOUORx06ZSEcdZ3b6Fbbpv0xAaT9E4fLHe9uPwzTfvw0lOkDHJdnVuueZjez349BJOn+ckHs0Mts19kXIxgQ3AiT/i+G+kpnSdFSuo0xR5HmIwWR6nqDSN4lFynesU7p6aTsMfVykFlbLqR8HvExQ5kerZhmdeIfXPvb8v4SCc2MQdQkNpjbxxFjZvdrdt0gWry8NAnAhGAeHkNgqiHp/ajfkqPh7zTXdche+7fR8A4AOv3w8A+ORnv4l5VkXt6M2xk6+5VCqgfwfZ0sMn5jHNY/AyH32qmaPg26bExxjeVC7iOKsNt7JN9I8MovkUxY9dbHRg2ENm8817McWqwflF6u/OLS5jnpNyfOvpeZy+wHWflpAvcewqtglrFKxhhbYN8fooTrWrHup3cpMCLk5kngOsvKJbH8YsRKSeW7U9qNSVDskIvOIPgE+0AMC6oPntDpIinS9v0TOjixUkqYvbhSh0ZhPXXk9jkSce+Kuut02CcClX5kRXacAPUgCaDAkPrYomupykOwovGks2Cwq97NLznteQFP/N1+zA8QvUiV01XEGJXYUWWi3s2kKufP2bt+LIKQoUffLIaQBAUk5wbIJeCEZ7i1hh6fNrXroHbZ44mn6UJg0yKKRD/BK+tIA6B1tWw4N48jQFS96zmf4+PrmAex6hyaL6snFtGihH4erG36IAyy4npm18J5YWyn7wunsPXefU1BTqLMs2SKELdD5lI/kz12neWYbNG1z/RcSDmFUvl64c/BKrNbhjdYPKIDs2nTqXmY+Td/wkRaIsRjfRhNzk9LTPMmYaJ7reKBaKFTs4tgdz81O+qa9WetDkjijLMyQusxqPOEwexnNpmkCX2L0jURjeRdfwQwPGWAAAK29JREFUzldSJ/uOG3bjkXG6f/tHKuhht8OGzdDLiQU27dyJ0xdon/HDp6gOyhrHJ+n+9BQ0ltievvuGPWi7IPWnyMVwuZOhVeFA//UVzJXInqpbNuPh4/Syvn8rPQtPnZvDVw4vAAD6KzswN0uTUEYZl0ARKQ/CZi7Mwo9/TA5dpOPC5jSoBkmZAZpgqlRJ2v2GN34vLNvbK25/JT7xfyiI8evuIhfFf/qnr+Ho8TMAgIO3HkTWpuu886678Nd//VcAgIsXJ5DwS88Su0HdevNNePIIvei0O9Zniqktz+Haa18CAFjh4KBZs4Zb2FWy0+ng7BmaCBweHsGTh5/A4vQhZO0uT3TxgM1GE6EAvCsUBXT1UcUBsFuHG9QgCzL0YoriGO3zQ99F2TC/95oxPHGO6urAcBE9PHnTti1sZje7oS2bMc52cfo4/U4rKY5NsrthqrHMbdp337gXOQ+Glp6gAX/bGCQj5D60NLeEhRLZaLPch1MXyJZ2byM7OHx+Fl99mLatzIUXaF1Kodil2U16540sZOAxNno5ylDkCal2hxs3a6MJnFh2H176LCdv2LJ1K/rYlejkqZM++641YRIeceDVKDtf6PoyVDmjklUamvfZvJkWNmZnZ7CHs6zWGw10eOL99JlT/oUlr5/setuk05JNe7fyID9M/BnODqULZT+JEk94WZ4AVmnsF2Whh+he/PAb6GXyfd+xA0cvkF3sqmjkizRA7SiDsZFBAMDw1m04fZHaphNPngIAFCoJjnAGqd6ixjIvuLz+xj3o8AtXPk7PW9tYKHb/X5xdwDK7r7fL/XiIA5pfs53ajVOzS/j8QwsAgGYtg2V3XI00csPiNrhuvEuH0inyrOGvX0WLLwCgdXBXVFr5zFRKpWEA710Jo8xo1mLrth0AgJWVOpaX6ZpVkkSuNMHFzPBKiFbKu8jqtBfKTZLwSyxlSXNjkzBJR7NcOUxnEta012Sii942wmREeBxU1GS5iS4VJsDicZMFCmPUbvzY998IAHjXDWN48qxrm0qo8iJa03aweZRc5Ye3b8fpC7QYcuzxpwEAaSXB8Smyu/6ixhJPlL7uZXvR4XHTxANPcGkBjHJimrlF1Ko0ZulUenDoCPUnNx+gZ/bo+UV86p9oW6NtedwCaFX1YxKbu7YigWm7hVJyoeIdvKvgli3kRr64sOAzxsJmUaLEOCudqycdPivKWO3+Y+0l+yIadyFkj7Umh+ay28hFN0wIaIQg1YozPbrjcXD1pe5PwuukaNPqZliYaPwZ152NJk+jRQu3JZpwgbYojNH3/uP3sD3duguHz9LzdmC4iHLT2VOGsVEahw9v3YaT58meXNuUlhMcn+JA8oXQNr32hn3Iedx0/lu0yNaxFmqU2p7luQXUeHICPf04z4vTW3qpXOMTi/jMQzQ2b6xklAwLgGmswHTcfQsTma49of+ybfnrjkm8CeV5mChUhfD9YCLRwnKWQblMyiqyM+hnTIauXgwxkZ1FfWAkGvATZAaRvWWASpA3z8PmXZ6E10Wry6OwJl/Vznt3fRWVz2WrXpVUow1doPuo0wIU37P3vpGyob/9ZaMYnyCb2N2Xoo+TrrRUjrERWiwe2roNZy7Q/X2a3+mKUdvUV9RY5rbpzhv2oM3P+sRDTwIAMmuhRzh8xvwSakXum4a34OGjdLyb99E7zfm5Ov7oH2gc22xY6LLrC8rBs7dJ5zWZhuLskpRUxV2zDnXlJ8VsmBW1AKJkVv6Lq74fJkpDxl3l+zalrO+7rHefDLamdHCvzZsdP+evecJLF4wPQZFn2idrKfekuO6ltwIAHr73UzLRJaw54rooCIIgCIIgCIIgCIIgbAiuvGD0KoFO+wDkfvbamI5fxdBJ6gPTWw6UrdKSX6W3Jk5zr1G7QLPhD46TMuGX33kHtKXV6De89VX47J/eAwBoNDI8eoFm2ffpRdxx8FoAwFAfKQEmp+a87P7oxUX0sUrrsckFDKS0ElDaNwgAmFhR+PCXSeaKJEG2TCvmtnEKiuPH6x5aBc9XDDQH+1UlQOVB+g1Ok+sUDcvLS8g7TjGS+ECoaanfu0ydOkmqspHRHVjhIOtJYsMqOPIgXeXVbq2LXj1Ds/luhSjHKum+Uxc4CXfehnJSW9NBWE5IgptizumwdeJXu4qlqg/gnWgFHz96DcjzDIuLCyiXerx7lzFBvmuNRc7XnvC19PYWMTREK0Hnzl3AUA99nlleRG2F7skDR84CAD7yo3eixcH03/D2V+Puj30JALAwXUNpE6cgLi3hzjtuAAAM9NC2iclZKK7PE9M19A/Q6vXDF6YxUqVy9G2lVayJege/+gWyp1ZHYbDMFZYtYqVGKsO2S69crqDSSyuiMxPTqBTpuM1mHXe8kgJyP/wgpcvW2vog79BFDA6Ramhh5iLcqk7O9y8pFtHhVfG77/5L5HUKeL3/xndg3749AIDTZ6hOOhkwyCmVO61Fr35cXpxHyaVgtyladSp7q0Wrq+MnjnibLZUqqPC+uq/ff29+jlZ4C0mCVpOOe/jJx1Hj7x09Oo6bbr4FTy1R+bqKYrk3FBIOXpy122H1Pg6wauI04mHlza/45haG44re9wQpsz7wfTfA5KSCeetdL8OnPncvAKBdA+ZzWv3ekfTi4K2k2BkdJmXW5NSsD5R9fGIBA0O0/dDkIrZwFoTqNeReNDHbwv/4i8NcdkBx4PW83fbtqirw8922sJ34+edLaxgoDvhrNbfBpRIUi1TKlbJXTCqVoO19goPqKrgqIFIGmBDwmV1SJqcm/fc2bdqCiQmqK2tVCBgeYePVce/zCNTYrcWaDH2DA3xuZ+MZxk/Q8/XWt/wAirxa+9SRI7jv/m894xzdRkGHAOHK+DjU5AHl1DdevhS5G7i96JddoXv5yPgkAOBDP3SbTybxmjfejs99/O8AAMuzDcwb6te2J0u45QZydRz0fd2sV5w8PbWCwSHXNs1g1wi3kfupDo+fbeMX/5iDAmdtKH2RihYHdFfz/Dty/0oqvm+ADiptryBW1t8/Erq4ZygLqj2nTNAq7GusVwWotBAFro/6VR+gGZiYvMDVmkIlzi0si+L0ur7O+FuQmQwlXtVu5w0owyv2fC6tkxBs3GS+bMZ0AFtcpXzpJgoKUIXwDMGEx9bCqxODu2KCkOwgcqGzCvkiuwUeIjfn//n2G9BqkXLhO99+B/7+T78MAGjMNbEAsrEdhWVs3UHu+lVWMUxOzvqxxZnpOgYGqb95dHIWVW5Dqi8hJcTR8y38wscpCUzebvtgyzT0oGN8+h/O8zbtVf8qTclNC4DN6gC3zcqPY4q+vSbXnZb75JWj01Pn+dLLkYovdhW0FNwb8O09qfWCMjXSM8Gp4o3JkCQuSYdTT4RECkoBObsta63942ycAiOyV+XO6Vm7gZOFgkUCRDkaVKJ93Vid+PYz/k5w6S14t2oYA9WmtuWbT1E9//K7X4429/t3vu0O3POJvwcA1OdbWOTkDjuKNVx7gDwUeiqcbGVm3tf06ekahobInh6fmEGF7Sm9atj//cN3PwUAqC03gvJJAc/QACgd7qVtI2flnMlssEP/XMVXbqJ+KHcH9/epXC6jp5f648WFebSbQZHnbcsfN0GsAPT1lyQID3LHlz0IRXV450ESJU3oILg5BvVz3A/7dyzL5V8rByBXpCjB2Oo/XeJ6Z2PDK/o2VNkESYee9fueJFv62TftQdamMfib33oH/ubTXwEANOdaWNFUh5vTFRw4QOFGqmxLs7PzyLk8Z+caGBxmJfvkLCqaE1ftJ9fHU1NN/NpfkC2ZjvJqUeCcv093c9ukVFDN6XLJh3Qw2Qq83RmnsAohaCghiuvn4d8PXAIDq0xo5zrZKiv046lVGQWC8nm1G6NzN4xutnKu38E+rHH/B9JyJRzEtQFG+W0FNMFREpBnHZw6eQyC8EJx5bkuJuTOkbeavhEm2SXHV0pTL+V0HcxLr7sOx8ZJKt/J8iD1zDvQZW5w3EtzUSPlAFtZbv1LxY0v2YqfuJXk6zf1WTx6gV352P2s1mohb/DAvNnBBLt0be4vwXDj9dH7aDLtzOQCYNi9r9NBxkpg06n7l0jnc25bLVj3glmqQPNkGuoWeZPL4PpfUwRy+nu1bwiNBv29VCqjhyfL3LZquYAlzhiZ5SbIVXWVYmQhmsRIyz4ZTKe5EEnpo8xmeR4NskJH6gcPVnGmGPB53MAyjqcWYmOMbqIOpFAs4+IFetkw9aNdl7mmhbIdGN2BTWPb0GK58NLSMpaWaZKlXNTIeRDdbEUv5C6jicnD+1Qxhe5llz529Fcp/MtU1m7BcsagO7/jZfgPBwYBANeWczx6jjpizfYEbWF50FNbWMEsZxfaOtAHwyf83X+iyZqT51fg8lRWVC8Sdh/aumUXToxT59tp8YQiDAxPHCSFEkzH+ePToA0A+npoIFhvKIxtodh1u7YM4PRpeoamZ2a9a5rL0FMuV3H9Sw7wsRL80cc/BgD49d/8I5w+SeU8doRk3q++67vx9a/Ri9DVV+/HxAS9eJ8+8QTSMk0aHrzt5RgbI5eXv/3iFwHQS4F74S8Ve9HDmRt7+oaguHMd5AnB5dkJ7H0JyaOPHTuB8xxjKS0P4LaDt+DBr38CywsX18B1cYgmvJxros3DmE2FF0cfUzAeUKsCYOj5tFB+MlhxVh6oJlSJn5ekwPFZgO+4eR9+9Ea6Zzf1JXiUYxslHKMsy+vION5Nq55jml/YR3sKsDyh/JF7aDLi1OnZMIBc5YFpfEPjykxj3+C65foSnVag9OpYZP2VbShzhk+tFVZWaGJuZXkRZtUJEeT3AOIsr9aEyasCT9y1syjmiAoDfpu3/GQ5TaLzMVysKxteOlZdqFI+nuHOnbupnkZG8NQRsuFWu4XhoUEAwJ7dV2F4mGz0nr/52Bq4LhZt2jsGa4KNKBW55uvEt6n+pT7KmmTzdjRxlHJMIYQXY6UBdk1QqQJ4Iv/gjdfgJw7SpPbN/cDDrm1yiy82Q8bZgeuLK5jjGJKb+3t9//Thv6IJkBNnFrybM3RwcyI3r9UvL0orGO/yF7krmo7PYuh/Z8rbP5SN5rbS8AIYuWMU2QXXIkG7FbkgGjeJEE10RJnjKuza2z8wjKnpCd6somPHtkvbsnYnTDbaPLhF+gUk7V3iqP9Y3VaY9syauC6mPTtg2iuhT9bWT74Zo5HwBJex0USXj/NpwkQYlJ9odm9p1pow+RfNL9/6si34mVdTHK87tw7h/jPUxxb62YXVtpBz29RYrGOuRHWxub/q47X9/CceAQCcPjcfXtRM7l2bELtu+fLakBHa5D4+KGVrc5MNHDPURu5BLjYEAGtaKLM7W4v9FS0stObVyKRAzxgVCKEdcvGSQmwha7JVNobIjTG0d8+cmKKwV+55DeMOP35S/h/+N3dn8Fuy5WNrEKOrYNPKEGitPLTbRXYhy5p1v8g5NEaLKHNzszCrstS68V4OlfD4vcz1kmDVM+/a79tu3IaffiXZ0ys39eBBbptSztbZNk0YXjirL9YwX6Z7sW2wF02ux/9+9yEAwKnzNWhXBhNN4qjgvhV13iGLed7012E7SbgnbrJdF6M2xCCE+jBwD4ebWE209nYxMDiMCrvQnz5z0tvODu6H5udm0eRF08xmUG4BLRpX0GqZq954ktpl6EvjGTC4zH2rZjqiuIW+fcjaUEkK07zQ/fiB7Lq4eoI/uO+uds2MXPPc91XJ99lJWgztDx8vay4j5b4LuYGL0XHbDTvwX15Frs4HB9PIlsiG26aNnMM8NBfrWKzwuHqoH0scvuCDn6Ux7fmFHOCxfVavhUVBDZiOy4To2iYd2tJUQ3N8UNOuR2OvHr4E69u5PAvvWBTyIu5Lwc0Kjy9z+OvkKfDoM7jPcXabhLYUFmGMqhF5ufJ5g6koFZ7LvJWhUHXu/6H/MBxnT9s2ComLc1jx70TN5SPiuiisOeK6KAiCIAiCIAiCIAiCIGwIrjzXRWuQtxtQadGvxia6EBQSGlFgWfrKsadPwyhamSuUS8ia5CqRmww+oK0/vEHGK369vf2o8ervI4+ewh8qOt8vHtyKdptWIZ1SZr7ZxuQcuUf1JQptPuLw3h340JdJVfP0cVKu6CRFwbvppWg79QNS2BavFPkCKcqgAQAqh3GRUPMMLKzys+N5ZsALY2guL2L7LpLiTk5NYYWzhDi5a6HUg6S5SJ+LZTQ445nWnVWrzQCQdxqwPotaFIgXQQqblorIua7cfaHVhxDkV6duVTUNK6EqrKhpViJVK1XUOFD+tbt2Y5LdkdZCiF+uVHHtdbfgsccfQ22JglH29fUg5RX5RqODQoFVf3xPcpOhVKRVmFazjaBcV8hd4rhCCCCZu2CkukKuKgC+et8x1OZppfNnX74NjRYH53eBMq3F7ALVQRkWWZ1OMnLVLnzwbw8BAJ4+R/Wtc3iFRU3lqJZp9UrlNZS4TjvNOpchheb7V0oLyHiuu9LTj02jlN3P2fT+kTEkvHxz5uwpJHzN1lr0cOD5YtGtLGtMc2D7lVoHH/m93wcA7N61G+fPnQIAGM469ra3vQXubj51+FGUWSpe6d+Mniqd49y5M7jv3q/R97zHjMbePaQaGxoawOOPPwYA6B8YQt2tvLVpJWxuYRHT3/hHAMCm7VdhYITqOs+B3dsH8HjhmW5t/26Ugk5SWpRzUnqkfsWNMqy5XVnFkbd8oGRwwFe6aAPns2u1C7RtgpIOBa8EuP+Bp9Fcofv7gZcPY7lGdZFwcPemMZieZzflvI2cbWJgx2586C8PAQDOnFniUyj4DARK+ZVJGA2vFvAy+MSrTUvVXhi3Am8UyhV23eLHfGlhDkO7aNX97PlzKBTcs1727UyL1YWZiZ70qK3RGjDcNmWZ8+EJrtYWhoJCc837YKwqhVLuGXT2WoyCUXeA3LmSluDWf6YmScEzOjKMg7eSOvDeb96LWbbz+fkFjLCb49pBrojGe0uF9tca6+3BLQVbG1z6VaL98quCidz/XB8T1IY2U76Bu/++cbRZcfdrr9uOlsuixPd9udXE1Bz9PYFBh+trYM8O/PpnyO31xGmqIwolwCeJkzHkQQ0aVun1arGBdxFLYZ0bo1uu1wrKqRGQRYlZwj5eKWUMOllQ4ybcD+V5UFtBBUWcihQqTW6Pm7MTkXJaXeIiBgDau1WmxT6UOBNlbWXe214IFB4F9E2Du5dSCI1dt7GWMrWpglfuAfmqrIBm1Wo/YG0Cl9kM2gYFAWy4j1FCHJc8gNRs9PmhRyfwO9wXHnhDr3dHq83Q89ayFrOcJTbJO2hxe9K7Zzve/yf/AgA4O0njFK0VwoMQMhquzsTmlC2F1VEV3JhGaShV5e08HoGN3Ojgbclag94e6ueqZSrvwkorKPMidVLsEhRcwxS8G1mcdGCV21WCVVk3+Xo6HRdWogfWhOzabpybeMWgjlzjrFc8x8KetUEBSKGgQpOLBC0exxQLCYpluu+NZbp/+685gIyfw4X5OSzM0zg8yyxs7vpDPrqNnrFE+2fyocPT+K2M7tXVb74aHR6H1+doW9sazMZ9XZPHFru24Vc+Ra7+ZyapjCNDQ5ibpbAh1XIFtRXqA9NCGZlZrQFQOgG4fzNZ1I8ngPfJQlDWBLWM4ufI/d25i9GxyuUS6qzS6nTqOHCAQqKcPXvGJ+MZHiHvhlKx5L0Kzp15mgZ+VFlA/Aw4e3KKryhwO+U1CUqf0IxFz7MK1+H6dBqvrFHbxOei8rnzYbXa3RNUUV6DZDvhkk3ilW4+CUBi/T3QSeKv+cHHJvC/6mQrH/m+q5F3nC3Rs962FnM8Bk+yNjp1us/FHTvwu5/8JgDg7GSTj5uGZ7NYiProPIRpiR5Ip1ZLiqUQxgKAtW6M7a4tqLhWJcqI3J99W2yMV+gjidqYVeFm3CYTJSkI6nby0nFtqIZXd+Wc+EAbP74wFj7AvCqkMLlre1yiodyrZ0tlDc1eStcduBEPfesBCMILhSi6BEEQBEEQBEEQBEEQhA3BFRmjK+nZAtNp+WDzAJCUOGi2otC9AAURBgCltY8TYoxFtUIrerX6il/9UKxySHsLPk5IAUCjtkB/Lygfc0CVqrh+5yAA4D3fSenHbWkQCc+Etzo5fusLFDR1fqoJxSuhLmhl1jFe0UGrrG7lKkHCsWesCcuRBV4RNXkHOSurtMq8KsrmHGsiT6B4VWH3VddjYtIpyLQ/XpGD5C4uLkEXylxlaVg1hAmBed0yicn8iqXJMh+UF9b61V8KzOpWrkMsEqdWMe2VsFIUB5XmOknTEl5++ysBAOcvXsDrXvtdAIC7P3O3j6lWm3u06/7cu/fst+//hd/G393zJZw6RQGnx4897hVu5Uqfv54mq8x0FPyzVO1Du93kq+rAujrjS037E5S4nlsmR6FIdlrt60FriY7XXFnGDVdRrIB3voJUVbbYi1LBxbBo4UOfPQQAmJtZguJA0ZZVWn29vWjxSl+73fKrQcbkqFRI3TW2hQL6Xrww4dUNm7fsQLlIfz85fhI9PRQ3pdFgWymV0FMlexkYGvUxzIrFCjQ/CwMcz2ByehrNNm3bs/dqNDiQfJoWMdBPz5tbwX3NnXdifJxi+Jw/dwY1VmN1MoP5GYqltWvPAezduxcA8JWvkDIrR4oyx9Lbv/8qHDt+kspbb2BkjK6vmNLFv+Y1d+Hhh+gZ7O+r4uJFUgX29PTh4G0vxxc/9zuYmT7X5Tg4BZtURlbHzICNVu91tJoa4g/FCiqvUlDpJUFsASQ5dC9Hj7cKJq/xvlGQYmNx/TUUX+ktN9PvYu8mUkMAyFpN/PZnKebN0koDtq1XnwOxQiAoM2BDgHi3hK8K8CoWa6JrU1n0PSqvzRDaOWN8TI2BoWHfxjr1YTvL0cri+gtqJR/ku80xc/I2vKokKYR9oaBTsjtSpUVKL97DpdS27bq/ZpWGZ9up2RIodFwsMiSocByhZquJ0eFBAMDk+cfXKEbXZgAhNTeF5OFoPK2mT+Xt+qbVkWWzcL3WRHHhQgwqH88LCrrE98rkIb6LBl66l+KQ/dCrqY1CcRjG3/cMH/7z+wEAiytNr5By3RfFn3GKZRMSxcD6WI/Gqx/jWCzWK8xsrmEzdz6neMx83CVj2tH1h/vmrz03XlUZK7EsbKQgCHGOnF1oZWHh+sUkqMZUwZfdKZ6syUI8JqvhYt8kOkSgi2NUDg5QW1uvN9FquRguilQUrYk1iNFVtEl5M12bcbHaovhQOjw7uuDqMi5CbEs2ClTsnisbYlPBIMjN0zAuQAu330jxht7DtrTSMlEgeOBXPkkr/UtLGQz3b0EyHYpA5XcKgsjm/e8wDgFUUMrqgld0KXAcnLwZNQsdGK8e1Lj6qv0AgJkZUnc2mjV0chcbyYbgz3QgLlbsKOFsAtC+XTWRrTxTHWithclJXZIUBkJsPYQkOV6JCBPOF8XzsVG/k62Mr1GMrhEaNwb3A4S1cxXUpjye3DS2GTfcfAsA4Py50yhw23XkySfQ6fBYPXX3zwKpiy+ofRfJFckfc9x6gNqm991FY4WW6oHhLC6JNfizr1FympddfxBf+eo/0z6s3FpaWkCb1euV3kF0+DnMso6/J5qT9STawrjYtZ0OwP2Xbaf+WXd9mlLaj52t7URqP4UQo8t5YXTQ1z8IABjbvN0rur74t59HiePDOfVznude/VVIS+hkbKdKefUWqSnj2ExY/VkFdRzFf3JlC7/de4WK1Yau625OrFGMrk0cgy62XxcrKth1fDlOyRl7mAAJUu7H3N+NafukK0onXk2VlipQqYvN18SNVw8BAH74TrKlXJehuH2rN2r4jc88AQBYWslDP2ZCGUNytCyU/RJlIEB9jbselRT842M6hagtcMmwCvBqK+S+Y7V5lHTFvecW0iieX1DHUWW547p+MCQ2iOMj0//DWCeoouNxq6v38JxYa6E4Jpjh+NPKGlSqHJernUBze1BfWYbmNt+0TkqMLmHNufJcFzlYXlIowKgQjN7JMG3WgHPIcM92miZocyeWpAW0OIh7ojQK7I7V5Jf4bNn6xr0F+IClyBBlBGnh8RMkef7gDH1vfrbhZZppTzEEArSp/97gILlPLSy0YF1nXISXdPZUq1hpuI6MGp5Op4VtW+h7p86c842QscZnUnOye6WLKHJQ4vNnn0all150a426b3ibLC3XhTIMu+ukhdRXlskNEhcIn2vcZDksu1fqVPsBps0tcnaPSgrFSAbtXhRDUE5yGYr7Rze4p/L29PWjwm5r+/fvx949FAT9ne/4AfzZJz6BtaLVbuHUqaeRdzp41R3fCQCYm51FsUQDnAPXXI2eKn1+6JFDAICFuSkUOUhxpVzEmQuUTTDViXd16LC8vrXcQe7GpMUyRkZoQqavtw9LbUpOUEQJ7YTu8Ue+SJNtMzOzXnpdrVTRbvMAoKmRtTmYMt+hdquNnM+XJKmXHmtdRLHsXAHP8nc0tAuealJMXiR3TeQWtSU6rnspaJkWmnU6VqNRQ7PBrpQ9w2jUeJKFX/SSQtW7eJ44sugHjY1W0z9jBZ7IOH/uaeQ82Vav1fyEdJImfkL6yccexOYtnKGrh1zeZifOopPSsR55aAE6dRO1iZ9wu+mmmwAAvb29KPMk39TkRezcTi9Wg8PDOHjr9fjq33Fw0q5CA1kVDWiNMfAJF1btGl6wbSQrV949sBViymoXSBWwLqlAMfUBlKlJ5OPZDIeP0j09fYbu5/LSE1EmvjCYBMJ7bnBXsmE+2uYh0KmxYYAM58Jh/WBSAUEdb1MfKNx9RyUaxobPboJgcX7GB4jvJMENNgzMg9uFUgnanfDSR8dKw6Ayz0OmvrQK+MDSblIiHvwZgN3Zk0LJu9FZG7IVGX75Mjq4O2gNNNt03KHBISwu17F2KChonrsKQYNDoNu2b7f933UeJk6h/EDb2jCpYeMgxvFkgc/olHtXThjgyafpZfFXJ/gFcX4JIbhxAUqH4O8WLiCzm0zJQ9D4PLyUK5t4dxLn0qegg5uvsZEbH7lJ0XGdwRbhMxcih1LhHvuJWO7HUEj8NmvzaNAfJhl8ggWroDnQujUdyv7oysCJIqgPdi4mOnzf26ni5x7II9da9wymqcYiZ4GtlIrevbdYKqPdauOSlqKLWKoH7e5dlMXNhufaZwxTOrx4KeXLFbt3Gu82Y31/RbOFLpuy8aEMYC3uO3QGAPDkSVqEW1poRBOLGoZdRWFMeLmKXXFXvcRHvol+kj3OQuomoUJ7Ry68brLI2Y9FnPmyn7NYK1jfbzY5a5tOCuFU1sL6bGTwE68+UY3NIvuK6id6Mbc2A2zRHxsA8qyGYAMKWrmJjpovuy44V7/4ehAlaNCRna8FziWvGCUcCsGpobRfoARf19TsPP7xS5R1WqcFP85st1oocbbpJid0Ijd/DhlRSqCcG7oOCyoKCR4+Qi7S46cX6PvNHM0GjT0q1RL27aXwHfd86e+wxAuL/QN0f3VSRJGTUTVbTWgX0DyJJhd4gqQT3UurNNB2Czk5VMpthG9fzaqxcKgT6/v3rBPaBLfvyPAgFpdoMXBwcBApT8LMTE/zASw0t5/FUgGZX+hXkW2F8bmDJlPdf8yqv4eg++7ZtnBZVy0Q2mCFZ3HX7hb0TkepBMNiWNzeeHxxooW3OFMkLDKXbMS9H5o8vB8i9Ou50j6pjdJFPDa+CAD4hdOHAADLy62wgIKQjEPpdFWbAlA9hon1uO2KFuLcu6SK2iQF7/INGL9ApLwrfUhyQZO8ru9PgxgiGrv5tYhVqwIqWoSIxwurfLvDtbitStOkXXQkYzpIvL3rVcljPD4sjUWW0bh8YGgQyys0Lt2xazf6OBnJU4+ehCCsNeK6KAiCIAiCIAiCIAiCIGwIrjzXRaWmAZy+zMUYBTBzmcvwXGzksu221m7qVmEAsad/Axu1bGJLLzwbuWwb0Z7W8/0C1nf5pG16Jhv1fq010jY9k418v9YaaZueyXq+Zxu5bF23J0G4lCtuoms9oJR6cL36FUvZrjzWc71I2a4s1nOdSNmuLNZ7nazn8q3nsl0u1nOdSNmuLNZznaznsgHrv3yXg/VcJ1I2Qfj3Ia6LgiAIgiAIgiAIgiAIwoZAJroEQRAEQRAEQRAEQRCEDYFMdH17fOxyF+B5kLJdeaznepGyXVms5zqRsl1ZrPc6Wc/lW89lu1ys5zqRsl1ZrOc6Wc9lA9Z/+S4H67lOpGyC8O9AYnQJgiAIgiAIgiAIgiAIGwJRdAmCIAiCIAiCIAiCIAgbApnoEgRBEARBEARBEARBEDYEL6qJLqXUTqXUV5VSTyqlDiul/itv/yWl1Hml1CH+eVP0nQ8opcaVUkeVUt8TbX8DbxtXSr0/2r5XKXU/b79bKVXk7SX+/zj/fc+zlO+UUupxLsODvG1YKfX3Sqnj/HuItyul1O/w8R5TSt0SHed9vP9xpdT7ou238vHH+bvq+c4Rfe9AVDeHlFJLSqmfWS/1djlY77bE+4k9iT1J2yS2tK5sifcTexJ7krZJbEls6XnOcUnZxJ4uQexJ2iZB+Fex1r5ofgBsBXALf+4DcAzAdQB+CcB/e5b9rwPwKIASgL0ATgBI+OcEgH0AirzPdfydzwB4F3/+AwA/wZ9/EsAf8Od3Abj7Wc53CsDoJds+BOD9/Pn9AD7In98E4EsAFIDbAdzP24cBPM2/h/jzEP/tW7yv4u++8fnO8Rx1mACYALB7vdSb2NKz14nYk9hTt+pEbElsqZt1IvYk9tStOhFbElt6MdmS2JPYUzftSWxJfjb6z2UvwGW9eOCvAXz38zzcHwDwgej/9wB4Bf/cc+l+3NjMAEh5u9/PfZc/p7yfuuR8z9YoHgWwlT9vBXCUP/8hgHdfuh+AdwP4w2j7H/K2rQCORNv9fs91jueos9cDuJc/r4t6Ww8/682WxJ7EnrpZJ2JLYkvdrBOxJ7GnbtWJ2JLY0ovJlsSexJ66aU9iS/Kz0X9eVK6LMSyXvBnA/bzpp1gu+ieRzHM7gLPR187xtufaPgJgwVqbXbJ91bH474u8f4wF8GWl1ENKqR/nbZuttRf58wSAzd9m2bbz50u3P985no13AfiL6P/rod4uK+vUlgCxJ7EnaZsud71dVtapLQFiT2JP0jZd7nq7rIgtfdu2BIg9PQOxJ2mbBOHZeFFOdCmlegF8DsDPWGuXAPw+gKsA3ATgIoDfuExFe5W19hYAbwTwn5VSr47/aK21oIZzzXi+c7CP9fcD+EvetF7q7bKxjm0JEHu64ljH9iS2dIWxjm0JEHu64ljH9iS2dIUhtvTc/GvnEHt6JmJPz420TcKLnRfdRJdSqgBqED9lrf1/AGCtnbTW5tZaA+DjAF7Ou58HsDP6+g7e9lzbZwEMKqXSS7avOhb/fYD391hrz/PvKQCf53JMKqW28ve2Apj6Nst2nj9fuh3Pc45LeSOAh621k1zOdVFvl4v1bEtcFrGnZ5ZN7Gn19lXHkrbpGdvFlp65Xdomsad1UydiS2JLePHYEiD2tAqxp2dsx/Oc41LEloQNz4tqoksppQD8MYCnrLW/GW3fGu32NgBP8OcvAHiXoiwRewHsBwX/ewDAfkVZJYog6ecXeOb8qwDewd9/H8hn3B3rffz5HQC+wvu7MvQopfrcZ5Df9BOXfO/S471XEbcDWGSp6j0AXq+UGmLZ6etBvtEXASwppW7nenjvc5QtPselvBuRxHU91NvlYj3bEpdD7EnsSdqmy1hvl4v1bEtcDrEnsSdpmy5jvV0uxJb+3bYEiD15xJ6kbRKEfxW7DgKFvVA/AF4FknA+BuAQ/7wJwCcBPM7bvwAO4sff+XlQVomj4IwWvP1NoAwfJwD8fLR9H6gBGAfJQUu8vcz/H+e/77ukbPtAGSseBXDYHRPku/yPAI4D+AcAw7xdAfgon/9xAAejY/0on2ccwI9E2w+CGq4TAH4PHADwuc5xSfl6QLPuA9G2y15vYkvPXidiT2JP3aoTsSWxpW7WidiT2FO36kRsSWzpxWJLYk9iT920J7El+Xmx/LiHQhAEQRAEQRAEQRAEQRCuaF5UrouCIAiCIAiCIAiCIAjCxkUmugRBEARBEARBEARBEIQNgUx0CYIgCIIgCIIgCIIgCBsCmegSBEEQBEEQBEEQBEEQNgQy0SUIgiAIgiAIgiAIgiBsCGSiSxAEQRAEQRAEQRAEQdgQyESXIAiCIAiCIAiCIAiCsCGQia4rAKXUbUqpx5RSZaVUj1LqsFLq+stdLuHKQ2xJ6CZiT0K3EFsSuonYk9AtxJaEbiL2JAgvHMpae7nLIPwbUEr9MoAygAqAc9baX7vMRRKuUMSWhG4i9iR0C7EloZuIPQndQmxJ6CZiT4LwwiATXVcISqkigAcANAHcYa3NL3ORhCsUsSWhm4g9Cd1CbEnoJmJPQrcQWxK6idiTILwwiOvilcMIgF4AfaBVAEH4dhFbErqJ2JPQLcSWhG4i9iR0C7EloZuIPQnCC4Aouq4QlFJfAPB/AewFsNVa+1OXuUjCFYrYktBNxJ6EbiG2JHQTsSehW4gtCd1E7EkQXhjSy10A4V9HKfVeAB1r7aeVUgmAbyqlXmut/crlLptwZSG2JHQTsSehW4gtCd1E7EnoFmJLQjcRexKEFw5RdAmCIAiCIAiCIAiCIAgbAonRJQiCIAiCIAiCIAiCIGwIZKJLEARBEARBEARBEARB2BDIRJcgCIIgCIIgCIIgCIKwIZCJLkEQBEEQBEEQBEEQBGFDIBNdgiAIgiAIgiAIgiAIwoZAJroEQRAEQRAEQRAEQRCEDYFMdAmCIAiCIAiCIAiCIAgbgv8PgO4QXinmW1oAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ds.wx.rgb(stretch=0.98, col_wrap=8, size=4, aspect=0.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, the images above are natural color composites. That's because we downloaded the bands in the R, G, B, NIR order. The `rgb` method defaults to using the first three bands as the red, green, and blue channels. If we want a false color composite, we can specify a `bands` argument in whatever order we want. Let's do NIR, R, G instead." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2021-11-03T01:30:31.810663Z", "start_time": "2021-11-03T01:30:30.168024Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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5eiJzPMsrjuMgSa6vu2t+pT+z/SmaYyDjFUc6Ri6mSTrTxFOVmXZP83Rz7Wpe6qVaB99fduonCCnNN3pPgQIcNztXW3SgsknzkpTS7PlJkuy7N92IKpWKaYOfkI3JmlNbZ7Wf3Wg0AACj0cjSaTOeOoiIuoPaXw+ThBBYYVndY70tuI7OoOdW21SkEGb+8jaInG63Ly/dcoYuKSUazTnMz7WNMaFWrWF3dxcAMBoOUavWAACTyRgA0Jqfw+oRKsi4u72NQbcDAFhaXcXFS1cAAO12GwAQRyGarRZfu4UopMk9sn4Mg8EQADFnGAQAyFgGEKOvnzhBbYQhFhcWAACXrlxFElMblSotmrm5ebT4ed3OHi5euAAA2Lp2DfoFO4IWQzJz0Ls54e25PlrzC9xfoFavAwB8NvhtXdvAcNAFAFQrVTSa1J9avW6UqO3Na2Yea7UmACBNYgTBhNvN+rayuIz/5NA1b3Xo+/dvXESdF7rnVzAajQAAr/3cL8D29hYA4M8+8D4aZxJbm0Zm5RFCGOUuSpLzNxj8EybHcbG8vIqF+Tk0GtT/8Xhi3u+1rWsYDum9O3JWUAshcuLF5UW3tLwEABgOh4Zv6N0Ubc7ZJqvn3nUdxCxctSHA3KeFg1HMbkahu4HhRRVdIgDzjhUgLKVSJdn3TJKNCamCbaUDVb22LhXCepgAoNvKAKYOgK+qzwMA3sP89okksp6vpsavv8+uMYeBAsUzVYdjOJDC5b5pA++0wXLKqKdia15v8B6tdpHrv8h9njXIKuTBu/aZdwrUq9KpPj5ZYwATH+KUAiTrs9VaA36lCgBoNBsI+f0OeZ0cOXoUG1cuAYCRGVOtTvVrP+MmK+nCxbc0lwEAbx8PAAAfiSbWffkxVnzmY96QwziBKzPZVOX9xa9UzIa7t7dz4LJJSgdz7XkIIbC3u8OPz4xrKrcGLNrv9V1365gGd9/ovVtzV2iQzxw1wrSdGn4g2aIvzdas3meqtRpGLHeDyQiOS++kWiW+WV1bw6BPTpIwjMxeH4yHcBztZMj2kEaT2h30exBSGz0sXrcVeLMmLFkLYebalw7+SXMRAPBbI+rDfdFoavzchrBl6PX3biEdqDRBisMxxEjhZn0C4Agg5TNrvdFAGNAcaoXS830oXgPkhMv65XusgOq5TpKcImqTPuAkcWx7i6wrMkVd76ZCyMyUxdc2my0jD5I4zpyFSYIb8WurNQ8ACIMAk7Hej219g8cmpNW3ovewnwyS1m/79WXWUCLh4J80SVf4XebhvwqHuXUt9WcB1Goke/QBYDIeYzKm+yq+jyAgp6nreohj2ldTFR+4bKK+g5+lDyMScRTyM1NjhMoOidNKxux6yJyz2XpLY3tPFznW0e9V66JpkmLIzlMpHaSpvU/mdSwFe3NWZhx2P20HcDgm3ktF9q6l9Z60jIrCcIpNDsvQRde4rmfmXULgq1g2vY/7e180MXNZqVQyvTKJkdo6FYD5hWW4PObt7W2ohNqt1ZtI4ggT3qsPmqTUBjaeVyktw6Ktp1qyVM99aq9/kcnvKYdV9p0t84vOHPRVs9lGv9e1nq0/pGYPkdICCBh9M4Vg/ThOMp0vYzVlzq7tdtusj8FgACn0oZ3Gub9su5FuNiWnhDP1u0Kml0/JYr5VComvnCPZ9J4h6U2fDCYo1jlSOHz28Wt01nQcB8FkYsYzz2fine1tc9thyCYHQL3eQLVGZ89Br2v2tpszk2a/nDhxGgDQ6exR246LgM+Gtvvz2LF1XLt6GQCdoeusb7zspS8FAHz0ox/D5gbZGgb9npErURjOACnImFbUH5uyM6CRs/a5VMoM6CNtntrPWD91Lik+EBb3R0zxYq7v9I+KV8FXzs0BAN7Tp/338TRGFNFcpsp+noBgPfHI0eMAgFq1io2rNH9xFGHCfCUdx+yJ/X5nX1665Qxdvu9h/dhR+JUK+qzodrpdJGwlbc+30WyR0WY4oMW5euSoMc6kSqE1RwsuTVKsrpIB8J/N0d83D3cRRcQwR46tw+dDj5AOBgPaOPZ2t42A08pWAIUtVj6SNMUWG3LiIEDMymKNDV0CwNVL9E5ac4uG0SvVqhEMmqQQzARFNLVULWFdazQwz4aueqOGO++4EwBwno1qF849DrDiGwQRJgH11+m4cNkYpg0/URTC8+jaYRiY31WaYmmZDpD1egP/4PP/NrX32EMAgPsmA2NMW1k7YpTiB+6/Dysrqzx/9F2aZN6j3JpRKfwK92M02GcenjwlSYy93R0IABErhpPJxBi3hoOhMRjE2rhjWy/I1ccfhTFMfolDB7K3jLaQEy7K8jbaByr9yWzkrnX2UtbjhFnYmi+CYDIlp4oEWAEPKWTSVUz/MH3PlNGrgFJWiiA86zYBqKln5Kw/08Y/PvQIiR992WcAAH7ykYcBAN92+ezUJju7bQmj5Ex386/D28GK2j4ebqjUeud6TmwRPG3EpGu+iQ1+bx51p86J9A/XqxgPYRSOoR2uOYW+SLkrICmd3OFVsVwlviP5RcobGWO1wtZj54E1EiLroKEEycdqvQ6fZWUwCQzPrx09AgDY2tw0hub9DVo2FY/HGI0diX9do022yn3/SDguvE1AGANJzH+rlQrLJ5IXY5ZD4+EAi6ur+/TpqVOSJOj1ejmU7YzXTk2vVTn12+wg/xXvdT/c3bL47Ymsj32UGiHzBgP9dCObHD6U0H6ql4J2cDqOZ5DXw34Pcwt0YJPzc5gwP+jfAaDJymQQBGZ/CiYTyzmk14EwRjGoFCqx56xILuoxWOtGGDcMUqXwnQ3aW9sx/f5v0hBJ7tCoDxH7GUBm34tKE5aNs106GNJrn56dWMCMYb9ryS3+PbbXv4Tt2ApDeh//dIkOQj+1c8X85jiuQSAK6SLldeQ4Ltpz8wCAXq9Hv6sE2o8z6+nOG5r6/Z45TAGYQlvk51NYe4wC0OuQodj1KjBrRNrCVMvHxHKQoJhs58CN0GG5/SqLGsgO9A7eyEZ/j5/3V6Fl3FfK0v9So9N6PsniKAyg5ylNU+N4dVzX6J2HvfV5Xqb3Skcbp4RBXGpHZZoqOPqzyrz5QmhDB/BNLdInfy7omfebCgfasaOUgMtrPYlj9DodakNma90Ych0HLT5cDQd9E6FgaMqpow1qQsrMGM4/R1EMxX0UyPCEuWgSNjYhZ/zP1lvxXmbxR05n2c+QMfudst677/n4+jaNeY757b5wbPROKatYaJPs6nU7iFNtDKV31dvbMe9FJYnZbyqVKvqT0XUWxVMhgfw86UO5FgxJ5iDRBhuVIFvHthEna+MbF2mf+5mdzWKV2HqmEBLziwvctN7rE9TqZCwJJhNjnEjiGItLxKfdDgEs4iSFBhd6nock4jNfrcprNNObpCuNEXpvr2MMEVK6Zq1UWcdXKsVoODLd1c636bEWDG7K0FfAb0WTYhlOhAK+fp7O0tWYnvvJYIw8P2d6SY1BDVp/dF0XFdbzlMrAJFEUY9An+f+Egl1ukhQ/e2drY+Y3KbP9VVk3CGtMNhL8wtlHAQDfUCdd5I+OzGGLASDDfteg18483MXJUycBAHGcoM/68G//1m8CAILJ2OyDQgAq0nqxNYc345gu0P+S2NbhuK00MXK5ynaHQX+QM87ladp4Zekt6gY8ZztclbLYIzV7aRQn+IYjpCtUY7rgh7s7cDQ4wkKPuq5r9jwdfZckiQEgbVy5Yq5Nkwjj0Y1l0i1n6EpThfF4gsFwZLy4SGNU2YqcJCnOPXoGAODwhri1uYm7n/UsAECr1YLkN3FifgGtCk30V37lVwMAfuq//hdjOXR9H3fedTcA8nJqo1erNWcOOyqlzdGp1M0G7EvHeNmq9YZZDCuM8plMArTZCBUEIY4eOwYAePSRM9BcEmtdez8tpUghtg6/w34fvk8KVKXi49EzNCcXLxJSYnXtKDp7ZKUOJiOsrq0BIETcmPuuDwe33/lsnDtL98/PL6HL1m0pHbSWaXEv9Tp46IPvBwDsSHoXwTgyHsZup4MuKyVb167i/NnHABC6DQD2dqPiMCUhMR4NZ78/IFIKSFLg2uYmnB1ShnPhDWrq4un709S839sXFrEwpk3tdR4Jl59N0ill1/Y2WYJkykvieh7arLDs7GxZHVHGqJuD2gt787EOvblDm7k498f8w5zkrHuK7tN9Ns/TP2cKh1FurcNIfqstOJhDAA5tluuuxId6xH9bK7cBAPytawjjcfFzzaGG2qvVqlhdIUXn4oULTzB89MmSnvtpJVXPt4PZRYv8d7wxnKjWsM4K3Jeuk1fjzY/sWnYwxxw8hRTkRQYAOJnSr1vPGTymN0r9gQ9LyuIrlaLRpM2lVqsaxMaY34vn+cYpsL9ibj2Kle3xaGTOmAAwx4eRgNGzYRhMherN9l1voEJKS/mzeUkCPvX9uCPxQY9+26yTguoFQ0SGl4QZs+e55kCk0a9BMDKeViEdzM3P05zU65kSeiikkCYx0sR+f7bBOUN3zSDz9LV830np4hijel+zSHPwI73tqTe2D48Utqvy/zSfp5Qj4cIgNm2DQhojnVGaUhPK7khpvKhIE7O/p6xEj0cjg5Du9/vos+HE7kzm8I8sJJlE5mzgfwMocjrkDIVKQrFsOuIK/D4bcM+5LX5qH0A820YhKsg2fk0Zng+1OBDzgxEi9vNSTKuDaZoaZTkKQwhWSm/3Klhn/eUrX/BiAMBP/eFvW/epzNnYH5iDQyqEMQrog3kYJMijg/c7iFFfbR2h6OgmLUNYUYiiso0bZku134HKGfRmSZk5y4WB2ZcUIY0hrYskhE8yb02mOKPDqqs0Z14QIgp7mKVsP9aHZzLsMJLIGFponHU+pA/Y2XiQJCDguD6SJMGEkUOVahWRkcV2mo/svtw5nedn3fVxG/PLF1XJeP0LycggFPyKjyhgI4HMjASVSuYY1qh3x8tSmkRRiJ7WVR0XLvNyZvDK+E1Ymnat3oDv50OWXM9FyPtTEscG1ZGkqXH8zhjSpp5RTLaMmf5t+j7rACwyfkpSwK3OAwCOuAqP8hroVEmnr8UxxkNyZI+HfSTMOytH103alH6XeKRaq5kxJ0mcewf1Zhv9fuc6Y3lqJFQKZZDw2T6ncihLvjZnkICxmKz7NRzjPeLVJ+ls8jM7m3mZV3AorzcaWGGn1bnHyLgRRbGRBY7j5N6GRnppOYY4MQiaOArR4ggZ1/cRTDRYgsY2Ho3M5zgMjfMmCCaGj0M+N9UbdTTZQNTrdPJ9f0pknx3yelPK+9yaSHFfyv1srQMAqlGEyWQw04YQjolc0c6Iufl5BLwmXNfFtWvXeJyBMfocNAkIOI6LbmePnRpAEgWWTJbQW4SewkSlqDD6S6XZO19JFNZZZryKgRk/89jDFk+4hl/TJMTlixcBAJ5fNdJEn12ldG4i9U2hNTZHJi0Tt+F6nkFXj8ZjKONYloh47UaDG519CmTUjHE0M4TOOlftS7PQZwhAuaS3HXGBj7EMjzzSP6UzRBzZ4BX6PY5j04RGyR09dtzI2aPH1nGVIz6gYJzQ16MyGX1JJZVUUkkllVRSSSWVVFJJJZVUUknPCLrlEF1xHGNvb5c8un7m3RWSPDenFlcwt0r5uC6z1b3erBmrtUKKCuf5OL+1hW//7M8GAKzf+2wABFH1OQHdkaPrBpESBhOTH2I07OdgjwB5gYZDQgi4jjToryiKMWRklIZxSgnjMXI9DzHDt06eOonz585TP8YaKTCNlJjGXU7/Q3sbFUZDeu7lSwEGPBfC0eGKgclbEkUhgrHOkzMwfdOhREmi8Kx7XwAAuHLpvAkTEUqhElA/v2Z+CXjOvQCArfvvBwDcdfvteJjDGCnfl4YJw6DNtEdpYWkZO1vXrDHr4Rx+4lilFHzfN+MOgwAhe0dXfR8u5+S50tub6Z/tebrS6eI7PvPVAIDnjuh+59LjU+gU+/3t79WQUiJiKP3c3Dz6HLKQxpHJaSTsfDdZj6aM81Pui9xvU0gfY5Uvsn9P89h03zP0iOe5mOewo63NTXOtyF1rd0H/LuHz57/TXoCo0Ho580nioSgaQ3uKpeNaKK0s54H+LgwynvaEi9UThJq8eEl7Aq7nZT0ImkXHHPc8DPmfeybvSNYPmgrq/1Yc4Yfe8MUAgM/mUGs8cl92rYVCiMLI8rJk8f1VRvCMR6MpFEvR2LP+2iFBI/ZIjUYjc4We60qlgt2dTb5dZms6GKOQrLBd7ZVvtpoGnaUh1guLS9jc0J76Yti0QbMpdwpFxJ5/IVBntO03z62gWae+XexeBQAkcZgbs43i0F5anbMljmNUeU+I48ggUzu7e7jeGj4Y0vLflhs0X/OeB53/ai+a5C83/6BxXQPwpjVCBn7myVPU1OOfLJAHT6RfmLrfQqlaCNQi77HKhfdwrqUUEILfg8yKFCRJigWWJxfO0/7YbDWy3Ay9nnmencPHFFCREokOV5xGN04huQTEFKKHrpVCwGPE1t+vL2DCIVpX4g71UdlJ7u3xF5EtP/NzdrjcxPxgHuKYtXPEqUIyau6KRgCpBHEYmzspDBPY8Tx834teAgD4rLvuoWstRBdAqHu6JSvyApWa/T60UjRkoYLXz7UlhGOK27iuZ1CsaZoVKzA92EdvSOIi7/Z10Kgi67vVOj/DQtjkH863Orm8PBmPSngJoWq+sr2IQY10xXPbO9zHIGtLuMjlY5xCciiljFwVIpOFaZqaHHeHRpxryCSEFxILjBat9QcY8z6yq1MaTM2zlvc7CfDvVkk23c48FmxfNHzj+b7Jc+v5FbRYf5dSGlk95rHGUZTjhSxfX4oa83cc2WHxGl+uIFgnGA76iHyd64z2gDRNDe+FVn442ss4qkPrIHby65nIi2kcYhFqa5q03uxm7eYAtQJ1zun7hrl5zDWInzZ7lAspnAwgJIeQpZHRbS9fOItVzoGjezGZjE0kgeu6CBmRMxoO4LkexEx/D4pI7prlZq2tVUci4B+6PNeUnsGaY10ISyj8MKd6eJ5bzX4vQitbem69XjOySYcNxnGWtiRJkkyPVwphQJ9bbXrWIOgbmeM6FQxZb2o60qCXFIe2zy8tYcRnQlGrodcn3V4U8EkYhqjrcH0Lges40oQGF+YiQ3ZtUboP4iUdtZJa3wu43M83LLSRVGiOHtijs1k4GVkzWSw3dcRJmqamD4N+3+zXtVrNfN87YISgkAJepQIncQ16WAFw+Ky0IhwoPuftxbQHJWGAYELnWNd1IXnN930X39omefbyRisbk3mYMKH9UjpmJhxHWnmchXXfjXb3Iv1B5L6fQcIpmHOiFEAynRol19bNPPdG96gpfgKEktavClrnFJDweW/60vkFuDV6B2euEbqU8v/Z69JOCUB/9HxvXLmE4ycIoTkYj014bL1eR8ARaEG0f/5AcRBZ//86yfM8tbCwhN7uNuZ4U22yYAaAeqzweoYszrFh6e01B2tHCXq5ubmJHsN0a/WGSbi+zMz92WtH8e4hwcZHo6HZxFOVmvCIYb8PHeuq4ZGTYQ/zi6SMU6U+mtdao2aUK31AbLWaZhN3Pd8kvJ+MR+h0SegNehT7LfBEFkj+Oh1uYxsFVtbICBhGkYF9jyxoO8XMUjt6DPMLiwj6rKAiRZWF313Peh5ePiIm+6kXvgT/mRMm3xVSuz/w8EN48Mp5M39FSQx1CJPjugaOP50DQ9+VAB9RSr30BpPxhEhKqTyvilqtZqDpcRwZA+cL77gbn82hBT5v+j9y4TGT0JP6OPt+VupkRPzy9eP46TOfpGFNGxtyBiWtzGR/c+F2Of1oStmZDi+0oaUmX5b97Glla5pu9Lt9aZEBLTP+5RU9fQDwUOO1MAon0CGPwq3htZwX7p333IN/vUuGxWdX6NrveughbPHmJBxpHu04GYw/1vnSILDQps0pGAfwOES526dDcapiHHz1IKko4XNaaKBd9qr4iiOkWB7jkL//cO1SdoFKpniC2lj1SGH7vEoNv8xrVdmHHyvPlxACa0dpjesQ5GF/YJLV5jaqnLG1KGG2FRoHhcwvQs+u15uYsHK4sryMgNd9Z3cHsyRM6NPi0pJRmF0vy+Nw5RLlDzy2fsLky7ty+ULh+rL7WXNJBo/j0PTXcav4Aoaj/+6JU/geDl2c55CAH3jsMezkjEOcU6NeNyHxdhEBXT1HCGHC0hdXVk2S+CAYH7hsEkIoCZ3kdnZNnmjM4Vsr1K8m9/lbhjt2A4Xtrkh6D6+vVPGLY1319okuhSewJ9kJ3XOHE5+/tfK4WRXktKFKIZOFugqSUqR0A7y/2QdAY4MT5is70XA+F0aeHMdBk5NKdycjSJ4rJT18LudS+rmjR/D9nBfjNPfrTVcuI65Sfyn88noOmum51muejNcpDqeymRQupFBIYeW04VCH1dYc/tEa6UhznF/k321dxo3e8xonA/884eD/9DgPlutnIYpOllRaQRhnknYmqjTBcFAUplc4BgjeK2q1Gjx+H2kSo9/VfKxzwE0ns541turvHJntxQoKaZyFABb0Iv+5qCCMxe41h3h8nITQzhXpVvASdkK8aXEOv8gH8lPc1I8/fg7bJt+l1aAq1gVNvljXw9w86cKdvb0sd5SKD0U2OdKFFNKYZwWESf6+XGngyziRdZsPYj+8c9XypcmcE0Prw/PMm6+u1fD7/B6iMMxVUtdhX0IIzu0Cqw8ArGth9ClpPtvJm3WqA6TZOxfCMfkkTTiyUqaoQr3RgMufR8NRlvQ/1cWDpte+/c6uF0Sz31rLjPE+H/DCNIVObiccHy9vED/9yt0n8FOKrjnBjvfvP3cJ2zEbAuMEtmzKCgZwOJbrmhC+0WhkjHfd3W3MzS+g0+0gjqOD15ukO2MU1CkYFrwK/s6p2wAAKx3Sf/7z9oY5O9D5ypLpLN9XeP9/dbWO3+zyeUoIuDyHURyZdS9UiiPHSG+KI50PDpiwwWowHKFIR8qMm3EmQ5JsjoV0zLr3PC5mlSTG6NpoNIxj0a9UsMlpc3Se0Fa7bcL29yy9ioyr13kNOZ3Jln96c5SosD4WxGHWX6eCl7Fs+oGTq3ibomuO8Rr+8bMXsRtZ6RpyKVPMlzQe3zfFGprttnEQVms1cr4CCKPJgcomIaRyHA8CKisU4DhY4HQTzmiCL3QYyMJngh/cumLegR0SK6ULn53tp1YJ9PHiehNvv0Bn2sl4CGHp+VoHabXnMGJggqlAKaRlYN+399ZnbdB0zBxWajUM+tqJnPDv0jKqW2H7lpGxONx1P1lTbEsovMZ6XpUNiZM0zkYhK3hlk9bgj9+zjv8dcAonnof/8chZdGLbOFWgl/Ez6rUaFpcpFc3ezo4xwDuONDk+J5PhvrxUhi6WVFJJJZVUUkkllVRSSSWVVFJJJZX0jKBbDtFVqVTV0WPHEUwmqLOXvdftGo98s9GGxx5ZXa7++Onj6HPSYCGEQVZ1Ox2DplrixNWe65jSlZcvXjDIrVa7jd2dzKKuS8wbuKrnGSv13MKi5SmJsuoyfC+VoqV/1esNU0knTTPU2Ii9nFICjTqHaAymoejXgz0LuBxeEecygJJt03FdHDtOUMC9nU2MuXxskqamTLKuunjk6DoGj5On4V133oFPfMYrAABf/lcPAoyagQLQ69BnDsV8WI3xTva4ffflc+hyomHqNvXtxKnTPA91PPLJB2dG4boO2nOElNvevnYonklXOBBSGjikjdZaWVg08Pc9Hl+SpAYumo1Et0d/tTfB970sjMNCaNmV1FKVWd+FLq+dJsiVBL7uOp3yGBo0VW6kN3Hvk3HUzfaLcnza1nntWXDM37UqeY1+8YUvwX0csvEv4WdeglYDOEkIA3RoLfSrAv/9ExTG+F/OP4rU8tZqnq1yWMPpUyfwAIfQnjp1Gh1GKSwuLuD8ufOIkxBKpYeCmsjGzX/53fnSNd9GmhdyZZ9tz5s1b7lQz6LEi3l4s2RPnQ61qNUa6Ou1ab+vQoTAVEJ32KgIoiX2rDSaTSxwyehOp4PtLa7c6kj0uhqlkcmeZpvWca1eMygux3EwZNmzvUlhkCurq5jjdjc3NgwC14bu2/O04hMv/fyxdXyUEaZfoByc4LU0F6eozFFC1z7P+2NOgt8a0br8z1evIJ8w3UwQAEafaMRgHJlF7rquQRh1e51DQnTxuy1A4VWka9ZAlEN/Wp9NLAj2RXjdmIoQngVyQyXFzygUXRmy0PM1MicxIUoQ0kJ0KVMYQHtIq5VKlqx+en60w9EKS9QoC0cqgyyMo9m15DgOFvj3t9x+O84wUugf+020dXuuAzDyGow2vVR18T957/6vm1cyxKUQ+fcxQwK5NSeAVCWHgzaVLiVtLqga2KjVTQJkxesmjvYJQS5uH3ripRTGy+q6PhKNTlJZgviKTzqN4zoYDW8O0QUIeHxfFAZGj9OV/ugK+hyGE2RTOC1LpzzSVnUoIdQUEmy2D8V7ppzlfZWi7ZFs+pH1NZwZkSf7G6otxBwGFfoe7u2THBosk8x7LBzh/7C++qPXNhDnZHBRcRlr9JZs0kijJA0PDW0qZRaaJYX1fp2sOmqoC8UoO2xWmdD6NElNGKodcppVPrT0I5GFK0opjB6u04pUqlUMtZ6pcsJgZs4ILMfRFn4tS/APmOIVWXhX9s79im8S/SeJlZie9WxK4G6hf3KVaA3cVE/DPjSFQmRaYF30TaeO4f4xzdlXw4PLId/1KMU9jHDus2zaalTx832anx88fxZJkW5WQPVWCyEjheM4Qr3ewGg8RJIkhyOb9iHXQqzHueIZ/LvrmjVLyCq9F+h5t4okiSw0XSllyUIFl/WlVotQkfVGHZ1dRoI5jjkH9LqdAlSwyCOIC+ZYJ2lP09Tw9tqRowad0tnbM2cEGxSo+zU3P48Oo6LyFWdvQDm1MmO8Rd53f/SudTzSJx7+qsTBDu9d9TjBEY4I6daov72qj1/uEU+8+dpVhIVFnrLzbqauZXLT9TxTrGoyGR2obJJCKtdxuQKtDvnMKkk61lk40v1xHSMro3BiCqmMR0MT2XNs/QQAioTSQ5qMBhhziqE0VdaZPzF7U2QKVAgjt/JpM4CidW7/povuCCkxGU0XP1JweZwpsjMm6TvXa/cAEF2WLJvnqJMfe/YJPNgl/nhD4kJIamcxTbHMIY57dervTtXH23ZJj/rJq1eQWAXOplGxNsJ/cWkJY9ZVBv0+Koy6G48HJaKrpJJKKqmkkkoqqaSSSiqppJJKKqmkZzbdcsnopRSo1WpoNJrGQnr10iXjFb7Wv4aTpzlpWZ+QAOcfj7C2TuiQ3d09E1/vex6Ocj6bzWsbAICtzWuZ90hKVCrkMVpYmMcOI0/iKITiRMeVaoO/i0yMbhgEaLYIDaVSaRALGmGRpimO8HMn43GW2FKlqNZoHLpUdBqHuXKkeb8k/Wt+YYn7EBg0UhiEhSVcdR/mF5ewuEgexMWFeWwymiKKAnT3yFN+2+13cn8TXHKoP79WreK7NjrU2NoK8Mg5+vwv/gnwjt+nzxs0l2l3gNdwUv7V1hy6JhdH5tm6zPHOp07fZryRhGaiz0sra8Z7tr2tk9UfJAkoIcn7q3MeQBjP5ObOdg4ZkBF7MTmqG0Augaa2SE8mgckvkVjvMVUwSf19xzH50lotQsj1up0MCSAcZKiJtMBQP4W0KIybvxFy8wk66Yz1Xf/NPNq5xMA2QsYkHQausafw1za38JOLlBNi4ktUL1ECVRxdBnguwEksW8EYX9Gk737Cr6ITUhue7xuPnvawvPhFLzTokMcfP2sSsK6sLKPVah14Esw8FSMtwzTGrMdEmXWsZnJioeCznc+n6Hcg5WSiQmReaZ0bJ4qCDOkgpIU2sd+nze+zfLGzTcgtjagFgErFx1133QUA6Pa66PV1qWneYpRCyAia+UrFtOo4MktWzV+GUQSfEV/Lq2sZomsa8Ma0FdI7/6VuH/+9QTLt6qSP7YjG9FGR4HPYW7/LfDuMU3wOP/dHHBfDJJ1pWK/7NE3NelYWSiBJUziej8Olqfm38pgE6RRyYPp6G7lTkJCWZIm+Rs7+/kT6BQA6P13ud4Usy66FhlEZssbkZrSQWa7rGCSyI6VBTWiKoggaBZCmSQ4pohP0F6ExkkQB6WwhCPN7HKLDjb392hZ+tkF764UTx9BmRM7mc+/G6h/8CQCTwQcyCPGFzLM/Jl2McgVIrucltRGv4uam/kmThbwDcvwxnGToLfdJIHurtbrxitfqdfQ6hISI4ghSe/iFhCN0MRz2TOde6zRaapoUEiPbFGLO4SRTx+zXjtSoMmmhHqbHM8UXQiDlOXFs1A0EcN1ca8gjJgtQ172I5ODvdQb4D3VCCuyOhljkPEg7UgAxtdHke+TRI3j1o48BAH7a8TBIsknKEvdbPJP9avqukhiLS8S7W1sb1x/DkyAhBDyvwnnAGE1jIeOCJLKvnvoLUM4amnPP9yzkg4XCNPn6JBR0njcrmbxwMqSnyauTJcTf292e2kbz78er+ADnIFIqMXtOFCfmeRoVIqBMku0wjBDHPe5bhuTK793WmEXB+NXMh9lrCmiP5cpv7/TwnZwIvR6GOMqy8MJ4DMwRUs7RiNkgwGu52R/3fPQ0UlNIa05medcBFT+icUpCuBx6cahZWRmrWVkqM3WdknDnUHP5CAJbH3U91xRzgoJJEiwgsLxCazLg3wf9vik0sLK8YtBU9XoDoxEjenn+pONOoaxU9rvQ+oIek2PQXXESm5yfnuehUWM00YR4fDQamnPDYNCHEE9kgyhAYlu8uMvr6Fc2Ovi+NulNlWiCBvNzdxzgeIv0Rj2yJIrwOYygfYsjEaU6R96s7FZTZxH9KYkTeIxSOmhyXBdLy2vY2d7CHKP493Z24HLOvXqriR5HRsVa71CedXYBxvxu0ySF1DaGK5fMmDzW+aqVikFTUbGC7P3HM0VP7IJHtp6fv4Yor6vpsyF1Mb9eXdeHZCSZKyWikL5P7Pb3RdkXIZNvREV6pECHeek3Nzr4di6etTicwOWzxrg/gZin95Ey71cg8Dmct+5/OS7n2KUIikmuGB+he++4k+wRV65cxdIyyfjRcGCKSFyPbjlDV5oqBEGIWq1qKmG15xfQ26ONJwgDXDxHSY09hrRJ38elSxfp98nYVHNKkxg7nOBPM2mrPYcuh0TMtdomrPDqlQ3zio+sn0aPjVfDLh36Go22wZv2e13DW2maos0L7sI5Ul4cx0Wfn1Gp1kw4RhSMjaHqtjvo0Lhx5TKGXD1RSomjnFR/Z2fbCGwtgO1Eu3ZVtkajiUlAAvuuu6lK0uqRNWxr4972Nk7ddjv1TUpoZeMlL3kxAODypYv4u3/v7wMAPvZnf4nRJapcVn/VZwIc/oPONnAHJdrGgPrTlG20VknZSh951PTHFv76AH7h/Fmz7BzHhccKzPLyavFCPTBSgFJQSK2NKL8xXK8WVmpVU/J93yw6nUJfWQJFQKDO4aBCuhhzeAKUhJI6DJeNgdb7yx+GTKPFh1dYv+eusdt6IvM5u2HTVwWHB4amOo6AzwbgyWSShWxqpUBKoxC/9dxZ/H8cQXib8AFes1hfA/7mF9Dnt/8e/a26OPls4tPRww9C82kYhqhUdUUXUvKiROHLvvQNdPvbfxuffPgRAMCjjxIfpoWQ6wMglRYYJqfDEwF7/jJ49/U3HlrfRf124OqQV6eClJ+XBJqXEhMKeOrkCWNY//jHPobJhOSC62rFKzMaCCmgktnwLl3t8+L5s7h4/pz5vsmGybm5eayurgEAxrxJLy4soNUintjY2DQG983Na6ai3u0s86IowoCrEtXqDdzJMuvihXPG4GFg4EmWiPY3Bz18Gzs87pYVbPNcjXwH49tPAQAGZ87QX5Gg1SSeCe2QGpGF/mYHLdeEGtmHcSkkh6kcJqlZ/smJUcd8PfWB6XrrXu7zu2MKmQjIrJJPul8oW5F8LCqkYYfuFN2TGsfS0tISNq6R86XRbJLhH5SQFeC5Z4WcqnxmxjvTsigYW64CV0HfhTRK6lu7e/gODj27+8x5BOwgk5/1ciQ+fe7LTC7f22LZc1WPlX8w3dhP5mjDy40MPU+FVGbYtKtt2SFD/Oi8kl5kWM9ID21xZRX9Hq3Z8bCfNZbGJlRUejWYVLVJp7iPBaRTCqRJbIz4EMIo+GmSWGEhUUEL004Dy9BvxsHGGntfEG42V/ke8V+76IjFV/aey4/+7d4A/5TDLtchEG6RQ2d08iii17wSAOB9+KMAgEE4wepdpwEAE77O9H5m+8icaxAUbgXQmtGHsMMgpRSicIz8WhJczIj03mwu7XlR5qOe/kajgQUu5KTTg2QHHbpWh43FcQohWe9vLyDgaqrrx2m/OX/+nJHbFd/PjoWpstJNUH/CMDJ65uLyqnnGaDQwKUTy/JTx0Y31hyK5WsDfhbqaff9Uqzxpf9Ab4Fu44NG66yLi72trqwiYH2JOsB+mCdbmaF8cnbcOhcqWhbO6RxAE2SHadZAkNyrU8FRoery2LBRWNCKH9lmOmTCKTGL6ZrPJxUCys5CUjpEPcRRn+6kQ8DnMUwiBPQ7Jk4rGWKn4WFpZ4zaE0UmKKlgnBXoS/TzrQHKsSozdvT3LUAp02ODrcX8hsqJLUjomvHx/Hb5AhxQF11sGwd/f7eNred+93cnWsJwE6HHalZRD06I0xfIcF/+5FOf1jsJzWsGZSqX7yOmnTmmaYjQa4djxE9jZJtmZIqtMuL27a3hFG0DjKDR9V1PrUfF53GU5EYahOePFUWT2pihOscApdnq9EbISapnOlFqOFxOWnRZVGi4+oxVlr4njCDDVQFM4mp9lauwcBZsG5UTap6J5vh9F3+1nOAN+b7uHr6nQHuR6Ag22bUzqNSScriZOaE7GYYBjC8R36VVpCtTE0WyhhTRNcJKrhY8ngQVW8nN7xX5Uhi6WVFJJJZVUUkkllVRSSSWVVFJJJZX0jKBbDtFFjjOBIAjR7VwGYJK38gXKJJivcmlL6TjGgu55FQNNbc/PGwu5hkBPJhNUuSxtMJkgZHjjwuKS8fj8q5PH8aOXCA2lw4Amwz202oTcouSIZL2t12vY2drkrmdWY/2ZYJKZ5XSew7i0RylVyvJKpbh8mZBpZJXWnrzMK6Ms661O3jYcjuCxBXRnh6zcW5sb6OyR96zVauPso4R0uP3Ou7GxQfOqk3q+8IUvxPnHCI1213OejV988BMAgH/iOcASQQjDP/pj+JuMIDlGyapPjELgEj3jA895Hr6QE9d//MH7DEpqwu+i4ntoMhQ7TRPUOFzxrnvuwTEu+3v/xz+CgyYpHUJZpalBnwghDLpLYB9EV+4rmv/IhlBaiW411FUIgSGXK15cXEIYEs/9hzvuxPc+RIijSJLnBIldeMBCdO3rySmCJ9sdnb1fWIk592s3A49ZNnEpZ90LShmkj3SkgWZTwk8nd2mtVjdw3EAleNuELPL/1pMAJ1jFHXcCD9Cc4H5KQK8mA/hz5MXcfu4LcOSxRwEAo0EXYUjr7a67CFX4K297myl1bpMQMpfw9mBJWLLGRg0UeHcLQwZU4UfjbUqzUDNhhYlI16WQLABvev7z8F0P0HyFDIMf9Lvw2GM3CSZoste/XqsjSYnPVhgK3B8MDB87rmvCm7udrkHV7Ad5HvQHub8A4DLvV46sGk/Y8vIiBkN6bhIn2LKS0NOz9oyHPwpD43mzw9cSC2ElWAYHUYB3cN++yXHg85ycVALDhx+nMbFMPC4kdja7AIBfX1rClxrkxCxvRGForeds7FEcIRkeEjLQkOBnWuvUJM4Wucum+wc1JTfElAyYWfIZT+qn/cDiIr6HUaYhONwgtePNitFROqxQSlkA49f3TcskYcL/r21eM3uylNKEJgUsP1tzC5hMaH9yHNfwg5DOTPGXorCK6f7meqY9vWmCtzAk//trFVR4GJVf+x0AxNcLzBYxQnhXCKX9+PIaTmxezZ4xg7bL1q6CmApHU9dBfj1FUoxmkBoFOI1msxG7AISX9SWHbppdI1sbVzM0bTixZL5CCvr8H5ZX8D84TKenQYKjjt0BE8YspTCyQ4f2AFlC31qtaXQz5aQGvTTO8drs+xXCHrb+YMto+/aU5gAAVDR1T9Zn0/CMbM8SVCfCxXt4/X217+FISnPS6Q3R+bMPAwBiRgR6m1uIB7Qn/tbyAr58j+QUhVFdf+8KWfeVoxEazeZ1r30qJISA5/qIosiSQ8KEkxK6i1F2jBzwfN+gGpIkK0Pf73ZNX/V7FFKacPE0TaD0Xq4oXAcAvqlWxf/YJdl0ZYPWXqPZNMibOIqwyIgcz/dNdIZGAARBYJAlezvb8CtV83sS5ZFL0nFNqFy93jApEmhPnkbLiH1EiyWHbFR+QQGU7Hr7OwHB1yZC4QPMC8+p1NDi6ZH9ESqSC724dH+z4qJxhebpI8fW8YLLl6xnz/K962n0U2ASbEOp/H5zKDQ9dpH7FwCoXCENG2HH0TT9vtV/mpQkSbIiUY6Erl2RpoDn07XfcuQofuoK6SEhy/YkSTHiaJpmex7rnP5mY2MDSaz3wAzdXZAppmBcxPuazz2/AskyS0hhZN3EfJcVX5gEVhobAVPQJwhtlNfNviMBydemUHg3y/l1r4p6xGPyK1hmJFeXxWoqAf8qzcn71o7gszgqKL/DFhXzUFnwokqtgh8HTQppGqPX75vUGpPxKCuIAmT90OdxwPCSFBnaTlmpHRL9PkS2X3t+xexBAkCX9d5/c9tp/PB5Kt6WSpJraTzM7TvqhmiqIqTlfudA+xpq1/d9A9jKUkNY16VFcma6rSIq4rGsCEqUxng/F8b4Sq8Cn+tWeK5EdUhnviUukpGIFJVLtLf98dISXs+J9qsLVZMeJQwn+gn4yF/R+f8VL385/vLDtGdOJhOzPtJCPZOoRHSVVFJJJZVUUkkllVRSSSWVVFJJJZX0jCChigI/P4WpVm+oO+96FoIgMJ6ZRrOF3S1CDu1ubUEhb9l7wUtfik8+8AAAirnXpT8piTWNv6oTXrfa8DlR3s72NkacR6nRaGDEFtsfX1lHsEaopV/t0Xcf3riIlRXKR1WtVNBjNNTudpZLKx/PzXkEPA+CrebtdhsBJ4XVaKo4Ko6Jp7BrGof2usRWvhghBCpVatev1NDrbOXu91wXNc4XNR4NMcd5ciaTEMuM7vA5kfxwMMRda4SqWr/3uVjnzz8wDGFspX/8J4D2/tTI03BlsYGQ57f1qlfgrWyR/Yn3fwiXJ4zo4ETSlYqPGr+DE6fvwMZG5hH/hq//BgDA937v9xx4mWwppfJcSqoqjDdZGpu1nbOoCDVBqKj8vwFk5WXj2FxfqVQMqoXuo+f96Ks+C8kGJdp/81XykDw83EEh2ieHjrpRXPU+3h3jud9v7e/3vW6vKGm6MghC20mZJjEqjJBsM+JROi4EI3q2xyFOn6DSvQ+HHtAgHsDRI8CYrtndorkR996FHucwOPK6V+O7f+ltAIBfPHMO19jyX60Sz/qegwF7cKUUOaRjksRI0xhKpQfqoiRe8qEgLA9Q9nuxrN1nrhVg8hzZ+X500mTHtTxTME607z16HMc4V8APc/7BBzcvoNogNOWJE8cNivXc44+b5+tyzytrR7KCCL0+VldJzg36A/TZU77H7aa55PpTnZ9BQGV5NirVukFv9XsjCEFj0rkRbSTekaPHsbnJxS328QLO8ZropsogMM4cOQGXeSXwXezy+AJObBs5ApcZVTiqOnikMQcA+OVzV7DFRQ5UouV2hsBVQPZSLRRHmkYHLpuEEEqatWZ5Ie31O1N4wkYI2IUFCjyIYj8/l4BO6P6mhVUIRlG+ZZP2kE/kUDj75GzIIdBYJjqutUcV8720kKAVRlhACLPXS5001nHNOJMkMfelqTUnFnJT5+Wg7cju72zC+jaj0XoW0mdn7RTm9SVeFZ0a56kLSUY10gRXeZ+vtur4KebVt1/eQp95Lgk10tHeL1wIx+q7UkhVDKUKoBZPgYiXACoaUvDei77bD2miCvLRCMegFOI4tC5PIRhh8m3HT+J2Rmr/z01CUD60exk55AbPvV/xjdfb6E9CmCtdzzf5LkfDYcZXJkepnftkn+S/OQRbxiu6D0hjKJMDryhvmdWGaSf3ALR5T+zBBRza2zZXlzkPCRAtLeCazv3jUbsbcYgOe+EnNQ9/xjlz3nFpBzs6kbhGVU7ldWoxar49N2eiAjqdnUOVTaKAd+yiHba81IikSrVqIiuUytrQ+tNMDiyr9HytSu/9X6weRZOL07zlPKGUHhvtmqTyUAp1RopVqjWDvtB5ueI4tvIfSewyikCleT2amzJ5dQABj3XjKAzy+/DMRJj/I/TUTG7CKTSF4TM5xZ8AhASX50FfAeBcZZ2TpzBi5GnL97HL10Qu3TiOE+zwXI9bFfwOJ+b+9XNb2I6Jn9J4aHWH3kW14mEyyfLfSMdHnEQHrjcJIZW0cwUWkI4QSFJrX0H2Uei8mqnKcvfpay1kztz8PEasexLSmNr5xrU1LHMOod/lvMOXVWhygnm+b3jt7LlzSKJJ1rbphOZhaeUEi3A9lAwhiHQi/QwFqe9pttqmrcFgYGShBFBjxJLWK8ej8VS0QtFr0lFAEk2WbQOVIfvuO3EUKctS6Tvo6X2TWX8SxRhOSH9U7Qr+iGX7b567hk1dJELlC8fQOIVVMMQxRUVSqAOVTY7jqnq9hTAY48gxiu7Y3Lhi5K0tV4zcEiInX+xoHD23Pud+lY6DiCMLvGoNIZ/X0zQxOtM/P30H5lj//+Ue8dqZ/lYWGaRULu/kzSO6iuiJ2G+mke32eW5at96vXVvWZzppi9dcP00BSfvcQ6fXTTELr+ahx03GDn1IwwR7Q5q/cL6G3+P98R3nN9DjgkHj4V72LJaHt91+p+HzXn+APY5SS66jg99yoYsqTREGEywsLKLGIW1Xr2xgPKIJ8/0q4lArRjShH//wX6DBQsERLpp84E7TBBVOhj7mZO39XhfJHjHp0tKSSdi2s71pEuU+8px78O17pLR+9y5BFJNogu4ebTFho47dXXpBUgg0uaKFTkq/ubFhKuK05+bQY2NZv7trBJm4LvOTsWDlCI1fh2ru7mxlB4U0wYQXYRgGmF+kA6s+MMRhgD5XM2vPzWPCwj1VKVWrAVDjQ+OXza3g0ZUjAIBKcwG/+s53AQD+Qb2B06dPAQAeXqjjnhV6hjpFhguEQwzPUqil80d/gNMOCdC1lTVMRqSEbVw5T/0KAtR5IwnDCbqcYL/ZbOLd735XwVwcLAkpzdpO4njq/Kisz4BdrcZW0iBgEgBqI6ObJBjrqiq+bxJP1hsNEwr2jvvuxw8eOQYA+JfDHbtT/FxL+NpkKs1k1wrIXBhvwUifmIGrIGSrqOKfraikSWLuq1QqcBgrHnPV0q+bX8NbPA6DiiUe2yZFv7O6jO3VeWqj7uLuz/lcAMDiVTJ67tQ9zHE1muDsWXz+nTRnf7QzQrfDSWxHtO4mVqhW3j6i0KjXMdRVcw6QlFJIkgS+XzEhEUK6xoA7HPQtxdk+ONrviw/y0rF4zB4AK3xJbCne0szxn6cx3sTr6IGHPk5tQWDMxTMeeejhrCUrH6VWAPZ2tkyV08WlJZx5mK6nQ0meP/YPAxVTY8oPU6WJCRP2Kw42N/JVwVzXM+FuG1evWGsxM2IssGx6Y2sJP9vb5AF58NhgtSkVIubT+4c93MEG1K6u7tWuwUlo/k40W1At4t+1lTV0d8iwGgy1kyExSoodwkLGXW2kKJiGg6Dpda+yNKekm+Zh+IAVSqMEsqTw1sFpKnwZ0PxovSteO38wGePH2IDx7SyzZw3w1oF2SrYIK5w+zSVeLT4r2ZWCJ5OJ9YsOs+D7kuyQog0eADAejcwh1ISzjYaWxCru+xyvpS9tLOCtoy7/LiGqtJa2PYn7eT/98LCLFyF/yPiEB9zJDjLpOfi8Nh2a3rsXYDBgXcCh39MkG5dSMVRiJ4Q/zKpmrCzam1u2KDFbjXFaqdXOFg96D9DFEJRKTIWyPA9kh4iPTiZ4IxspHu2TUUFKB55JXutgxJWyw0k86xiw0jhEYYBumBWmyEakr3Cy/iJF/r3rPc1aM7bSr+WunhdMc631jkyz2UG3zbLpy5vz+AVd3Ve6cOo0zseEQpcV+UevXsJzmvT9DsubSbuGSoX4S4gUdza5ME+rheGI5nsyskMps7Wk1ww56A7biS1mHH1TP+c/WO9vem2bIkpFgtSSc0JIo9e+d2sL38l6xGOjPXO5Nmgtrx4xBtBGvZ69YZNg3cP2NdItGq22SXAchdZh2HxSWVEdCIRBZuBwjeHMSrBdNCfCelf2wdp2zAstC7K112Qr/efX5/BbQ5ZN0jXXnhWJafbDkxFub9KcDLjQzKRdhe+zs7FZx+vatBf+wXaAwZhuHMVsQBHKOGldKVDnhPej8XhKfv91kjBh7IZ/ggCGJ9JMdjVbc2YPGbOjVAkXdV574+HAknkJtOP4o2GEf85J1r+fC+wIZHsM6fmkp9TqDSweI90zYH2019kzYVYqjSHZAOT5vgmhVLl3TpSqrLCOkNJcq6+ZjEfw+Sxx1933GCPtQw8+YNrQjksy7mcGY0tNMVTnfe7zm238NhcPAQTg0jN2JRDw3n9xNMbxJo2jN6BxVhaa8JkfG46Hz2zTnP1haw5en9ZglsLFHme2rpMkgdRFK5JiIMeTJaVSBMEEjnSwyWGV0vHgaRCDkAiYL0yflDCFlIQQBmQC4Zj9xFSFjULDPslogEwuZamCPhyG+LdrxB8/sH0fAEpmr/mSHO1WRdmZZPF5Xez6NGXwtVrIqrlzH62wQ7Xvea6g3Zl/8/vXvLSwiLfvavO6hODQ8p4DdLnpy50B7pzn9CkDLtg230CFm20LB69r0Tt6b7WFUaRT90w5S0BFqfQZpdVuY8xJ7Ifj/QsclKGLJZVUUkkllVRSSSWVVFJJJZVUUkklPSPolkN0CUEwY79SwcULhBYa9gcMAQRcVwKK4e91siAG4yGXoQdW1tYM+iuYjDHmBGgaQaDSBMurhF6K4gj1Olm6HWcFewxDfPmVTXwvoxCGY7J0r64dybxSUAbeCJEl2GUkOfxqFT1GUx1bXzcehs7uFlxGmOm2oihAZo/MLL1SCmM51xBWr+cjNAmbMy9RmiTocuJ57cH3PM+EPE4mY6wcIZjnXLuNq1cIBr612wEA/Hyvj+AiJf6+/bk7WF2hNj4apgg4jOnk6hokD/DhD/8ZAGB5OMY8W66X5hbx5ex5/3J/E68MyGq+qcsi12qosGV2r9PLIOxK4eoU4uMgSQjyyCWTiR1QYmMbMIOasNAPQsi8UZ0/64Sonl+xoPKJuWAwHAKCxvv32gv4mS0dWqrRYftY9PcrR21AZ9PegJtFmec9w+a7gmT1BNzIX0seitTcJkXmCTHleNnS/xO7Gwg1EqYyh5cenQcA3K9i3MXJQeePrAFv/z0AwMYxQuk0T57E3hniw7VnPRuvFeSF+ehnvgJ3v5dQf48x0t5xJBLjgbXnRGA4Gh1aMkwBhWAyypUP1glGPa+CKLITh059tNCD5CnX3gwrfMYKZ9AeZiEUUpfX1snb8COalzTiK83CZynJL5foVjAJeKNQoz9DnHuc5nh+YRErayQLPTfzkI14PPNz82Y8VNI7G4jr6VLBWSJMjXwMgjGCLepDuz2Xmz1Ae8ZtX3rm1dHJ5Ls8hrf2tzOgievj5XdRfz8+CtHgZ59uNk1zcpnGW00VVJ3L1IcRnnuBZNevSh+vYcTAZoFXTUppoP0Q4hCTqhLapVZvYDwcGY+1lDKbjzQtkBPFnjgbWZV5ySxvYg41qqDl0N9fXMYP9DrTPbM+W2urQGQpKMO/aZoY5OeN5o1kjN1f6rNGGyiVFSSYTMbme0BZqGgix3EI4ZL7Nk99nt9fGWTIEFFt4DkvvBMA8OBOH90RPe92v4KYkbm7LZLtC0Kgy91dDhO84SohKP/ufAurA9ojdwrG7HlVSyYcPgInh7YUAvmQPIsXAIr3tMNgrQTzUDrElO9XNioqT4q992+sNfBzHIacKGpreWUZjk5ADiBlz/lkMkEWWaLfeWo9L5urxErZkPG2skS+Y+1j6cylhOyaRZ4CjklngHQ/b7E9J3TjgJ/xtn4HdjL/Fx8jVMkjiUQ6oWtPNhoI+L7aMiH+51KFsU7gHqT4nGukd76x5uHVe5ys2ryLfL80uj8Ko5vf+p8sCZbNRQhBqAwxZ9QnCeg9Odc3Gy1o/zCrx1BEJKMvaw384hWd4kLLpAyFs715zdw96PcMKqjKRROSODLo3G6nYxLlE2k+0UUjMt05V9xCKYPkMr/bxWhuak0XhZdnNOImfm/Yy/ZxIfDCVdo7LzQrkB1aA6dbDbhaRVjjdCypQuJw26MR7t2hs8f/O7mMv3mF2jvDkQQqjUxBgzitoMZoopXVNexsXr1BKYTDImUSzA+HOpQy4ztl7UeE9rPfE5F+R41W25y9aFeke7+4PY/f3GZUCoeVqTiB/U60PjYaDkxkjC7sk8SxKZ4RR5E5j6apMrpwMoPcoV7qs6mNUtZ/gyA04ZoXL15Ek896tWbLhGDq6JFkmIVJVqs1TBjpBaHMshyz3P79fh8mBN2p47kr1O5jvoQI6eJTrTpcntoayy4/UVD8ZRwlePEG6U3vm6vgRXukb21bCfM1CQgrpDQ5NL3JcV0sLS9jc2PDpDlottsYMVo2FfYca1Lm/E+pgoTpp0nHovcBlRpklpB24np+fQC+0Kvg5zj1ji4SlcaxeawjLb1LCKjEPqdoKpKDWfqPIhStsP5fSml40BxboUwhDzslkl3Mp6hFHqx+sPlqzB9/f69rUp+kysXzF4lXLlUcjNg+8qy5ZgagXuOifakyKHeRJLh3i/j5PQseXvS4XqN6CjL9Io5j9NjW0O/1cn3aj265HF2+X1Gra0dwbP04PvnggwCA0aAPjyfsyNE1U9Fte5urHcoMmuh4vomDHvR7cLhCgMcHvtFwiArHasdxQhWEQAf2hUUKNxyPR0bQ1RttvjaC52mFLBPCzVYba2tU+UUb1TY3r5mY4ThJ4HKODuk4iGOOY3YyBcrEASugykKt2WqZMLgGC9tup2M22263y9BbErZZLgL6fW5ung+nwNLSCkZjGudznvMcHD9O1UU+8MEPAgCuXr2GCkOYv+YffR1e9+EPAAAmqcJrXJrXhVoVio07gsOo5ncHmSnVcQANt2828D0cHvRfLj/GfQSOcFWTOArh6bCTydiEfl2+dP7Ac004jquazTZGw6ERJ1QVkz/TF/mb8omX9vme/jRaTTqoAsbgCbBqt2+1neu0W3QtYAkiTMnIomvtzTQT1GI6X81U/g/dcLVWxWSc5S/SpA+bcRybDQJQaLWId8KQIdwQaM5zVb1E4r3zzEOOjwVO/9BSCqMF+t5fmqf2oxSDHVrTTb8K7DHE+Pg6fojjvr/n/X8MgCoqZbkPUnuvAIBDydHluq5qNucQhyECU+kEJtdQrk+FNPPyZn/m9es6rjHkUQqK7J2qJF8hzPN8ilMEyQK9+UIpZNXE9lPMM4Ouhpu350jBnptr4/IlMor7fgWTMR3uk9yBQVNWMW3t6LoxvNebbWxtUPh3xj+RVZUOuXe3xFVeI4b493pdZMZhD79+2ykAwILjoc5TPQzGGPKB0/OIL5cSQHm8OccJ2hNqz1PA9/Km/yvdHe5PmJsHI0vdzE8Ux8Eh5MGRynF8khPKMtTkwkI1j9uV9Oj3RmveyJzxcIhCuTFlwJ7+Pif/Cn7PHW73lYv816pQ5kiBxNjQbQeCdTg2odnSfDaV3JLUXFqv140xWYisoJCtFGZTZhn0VGz1Xc+fZdCRPn779tMAgKNuDVKHL4zHuJySorhezQynMTfbT2K8SlXM4L+yTweoX++REU2qILcX5EkgJaPkgcomIYSSosivaRu3CoymuRj+2X1j5noAQGoZluycYAJZyGOm82iFXAiZyzdqwtjkrJJdqzdMNSkdMg5kudgc1zFGn9mI2hkGyfpuXayEhGPC3/er6DS9R9p/7bE7+L07bgcArEgXNf5+NB5giw8dKefoWk8lggqHIEUxXp7Se+sLgW/nvJP/a0+nOLByAAkB2wgtWa88DNmkc5smsV110Z6nTF+wOmQZaiz9h5QP/mzdXmip2+8wuM81Re3pCmsy47fW3Bw6u9rInZpxeFrGCxh9O01TOLwXAgo1ThUQR9p504THDuvO3p4VCiUxE5psr7v98q/a8lMbVoWDdz37LgDA3X4VMTcxGg6yefXZmJwCI9aPVJJC8KG/UaniPwS09n720hl+SGJ0b0jHCv9mHRbJIcgmqaT0cH2jYP7dzerERNKS/3qupWVY8H3f8KudfyxvDM/a1nrs7Pp/IlNAz9ahsY7rmZBHW67W6nXDj7qP/V7XjFVAAZJ1sHYL1aoOhad+D4YjpKz7OY5rAB0KIq8/ZKPjvy5+++7TAIAVL8v96ozGCHTodoX61U6BQKcwTBLcNabfk0ThXzGP/PLeVsEUZVU7laXUpSo54BxdjqpV6wjDCHUGuqQqqzwYBROTHysz7ijjgHNdd8oZLcz3AAFPcrqpJbgye77tQNR/LEeQSk0fAJHJ6bDACV60JyPLZSosuSSkMHum40jzfe7WAudh8XOAGwb8WbnMsn3OxXueS3JpvV41bph0b4AB79GiSrzUABBpcQaF1SH1txmn+GYOq33b3rWsdzlHrK1/sly+Tr63MnSxpJJKKqmkkkoqqaSSSiqppJJKKqmkZwTdcqGLUAppHGMyGiHghNICCjEntbt46YLlVyM7nuNIjHUS9n6vEFVRYzdAFCWocwK+KBqgxkkM414fE642kVqW0tGQIHRSOmAgE/xawyTIjcIQO1wVQIezBZOxSZIppYtRMOL+CgOR1BURkzgxSLHxaIhgQlbRIAhw8rbbAAAhI9gmk0lW9c9x4HD4UBRGM1UnhsMBmi1CZozGASpVgq5euHAJS4sLAIAvfv3fAAD8+m+9Ay976SsAAMcd4FUtQlUc2erhjKRnNyYTrLKn6Iwk6/n8OMHg819D/XngAVTrXDOmM8B/WqAQo58cdgAAe3u72GGoebVawRIne7zz7rvxyEMP4bBIKYUwDOG4nkG7JUmSQVKT2DJ8a8/KdALWAk83fzUcDA0KLwiC3H3aki+EtMIvru+xKqb8tdojlwKm+h8YgeB7HsJYh0E5xvtFXi/dQgEaw/oqTVNTgcYk/FSKijdwWyF7rHb29gxyQ8+D51cw6tO6OVpp4BQXSpgfhbjW5JC/0Qhthl5f3SEY8NHYR3OJrh36LhrM/+gP8S8YNffvWKT5PtDmPm5ub2QDUOKJOeOeAAkh4HkeRoO+8ZykCqYYQZ6mIGbmczbR2itskljGYa5djyvBhJOxgT8T2+S9M3EcW+F/bvZMoWA8xEVJsIWwAB+p8SLpqozDwQBtRutFcWqQa6PRcLYty+Ple64pxpEq4MQpeo+XLp6n3/2q4cUTp06hs0e8sre3i53t7axvZqjUr7tWl9HiuTrlOrjSYg9qReEuTjD8cUF8KQaBKVx2pFo1oWiOdPHdnDBbI7qm50SHIkdxhBonxYwHs5WGnjpxAuTpYhQ5eZT3VUnHNVUrCUlQ4MGzkCyZlzWdySGu/yh77Zgvs0pRs5Ufs88KsKIrlfFYJ3biZmTezUzeWF47pUzScxs1pL+jvVQjb1ITjlIMmhIQSqPVXAC6Wp+G+TtmnEerddSZb9ZVgseajNj2fZwe0TN2q+yN74RYYa+vhMCE5XnVq+JX5khmOZyY3E64D74DIK+xPZaDJ0aP5Kq4ziZIzl+feaGRQ4RNvXMrsTP9bCMMZ9vTnmeFNPsslKWbWUgXE+6WyUqtz+lLNerbFNuJYoOgENKxEiRbfVcFCYGVgknorFLMvKocys0x4TEqBRTySFryNlMfTs+1cISHtugI7LRJx3RrddwzoHn9qKQ+7nYCtDxOUB8n+DAjcKsQ+Be8p/2vvW1rLBZ6wAZVznb+wEgpRTqlELlX7HBojOO6Ri81/Jam9pLOSAiTtiJLpzHJIzPN61FTwNHpMWb7jHQyRFIQTGYEghACDsvyyXiMGkdGTIZ9q8CQRkInVkW81KBBhJSocJXHik9P3t7aMjzrVSpmTGmaJeMv+EDtwUaL6Eoxauba9XoDDiPIEjfFgJOCj6SHu3i53O8RP8rdBG6N02eoBMcYyN4IE/w3PiP8rLVPaCRIs9EiRJHui3AOTzQZ5s2HjOZ/R6FebCM2a1bRgeGA9IZGo4URo40gJGKN5LGRKAQZAUDnRYDOAfqNCSEytJXMqmprStOML+2QNgDIVQQGkASZLPL8ipFTvu+ZsMoMoY8MYQpAWHu7Ln527DgV/1qsVDFiFFcURhAIrP7otmw9j56x3mzgGCPXPOGg2+AwURHiCMuvx3zmtc0Jdpm3l+o+VEJtrDpV/Hid7vtlI5umUcKZ/qDr2qdqP6TskyQFQCmsrKyYM3a32zWILtd1jVzU73N+cclECETBBELoiqoxXC5so9Mh+J4Pwfc5jmv2oXqjaSLJVKqM0mPQcdIzodFCOoZHV9aOGP7Y3trk59rnxPyZwNZzqK3s92q1Zop80BqePmNk9gVhtVGpVs35k6IXgOmqr1nYNgoVK5dl4x3z81hkXnJTYMKFVILQxRLrBGddnutrE3iMYnZ8B2mNdGk/UfgRaF7iQlM2SnxKBmRVkstk9CWVVFJJJZVUUkkllVRSSSWVVFJJJT3D6ZZDdMVJjM7uDsajkclRU602cPTYUQDkCdraIGRQzBa+MKKyokC+zCmQWdsdlzwb8405hByjm0SRsYXWG3YeEDEDdEnTBBO2+lYbLeM1cBzHJHfU6LB6o4lrVyiRfpokWFmlvm9vXjGepDGjIlbXKAkkQHlNdH/rzSY6ex0AMAkKPc9Do0lohN2dHWNNjqOIkvQDqNYYgRFFxqI7v7CIz107yvOb4CNnzwEA/uzP/gIAocN+9md/BgDwY//qW6C6hKTba3u4e8DlrKMY2xHNj1MjZMf98yGqnDTupHCBPc6BkCpgTO/ubx6jvFy/uLtjEgYPh0M8/NAnAABnHnkIa8dO4DBJQMAu/ex6FXg8X4NBf8aATQmWRf5+aJ+UyK4BAKWMtzIIJrk2Kr7Ot9bG7g6XW+d2c+XBlZqyYtuxysiuYdIx5q7rWlZwsqaHcRYrbiMblUpM3HhqJybMeR4F97eFubl5AJTzAAAeefgRdDodc+m/XKHiBmdDhd9g1FdrlXLVzc/NYzCivEy3LS4irlIbg2SCpQ6XuYbCMCLe2Y6pX1cWK7htgXLiLb7hi4Hf+0MAQLK1CYe9NJ9/knjlXecexzd909cDAM6dP4e3/tIvFYzpYClJEgx6XfjVmik53u92cwCc7DVZrm1zgeVFSVPjZTHeQSEp3xZfq1EMcTDJEp3aeeB0LgE775Cd0B6Us5AeEpte6cStUkpUmXdHo6FJWN/t0DpeXFzEzjbxrev5uO32ewAAn3zwAVOAQKNuKtUaJswHF84+ZnIU+X6WoF97scIwRbVKY3Okg7/DSNDLUYLf4XxHWWbLBMKjdbRY8YxDeKsq0OK8WyMFPMaJ6UP2IA6Waqhwlt/d4RgneC6DJDV5vF4yT8jVP9/WCY8JiaLfbRRFJnfJ4ZAgj7PKUD5U/EKjSLJy4ppoTRfJCpsy77hGlSbxtJCzPZIZ/2X363x+04npp0dg9UVIK3/bPj42m395r1OpMvJUo9UUhEE6hIGN1rGKgxQm/wW+vk2I5fNxhHeOetxelgdKJ81drFVwSqOY6i6eE9KYe4mLDUFrZD6ith+b8/CcDvXjdKWKatVKUs7Pfw3ntvuT3QgGSUajAmB7Uw+LuC+5HG8Wym8m/43adw4zspGi1rVqmmemb7M901muD50HkPKqXcfbr7LiFgqpyTGq+U1AZahBka0fKd2ZfDtKpZaszLzxgJ1TSUz9pXxA39ikXJOXVYLf0YUMbB2TeXjZczDS+W5qAlXWmxwo7DHaXnJO1a15H49eIzTpUdcjeDIACAenmec/t0n74LsHGj2BqblWBWinA6ZpdI1KDNIlSeIC9M0U5CxrKEMa6Ny2zaYpUlCp+EY3jKIYPUayuK5jijfl5XCGRNCoDkLt5XX/JE2R8H0KCeq8z6QWgiHifcP3fNNWaiFhoZRBbLfb9E5arTYqrAOPh0M0OEJkPBpn6G7mMYFsTw+jBF/bIBlxMUnwrrFGU1nrit/x0UoFdZ6zfk1ADKjdRgpc5OgWxciszRUX9Ss0zqU0Ra9Gc1ZPBJq8Fl7WXgUA/GVv05yRer0e7GIVR44dw9bmYRWGEiyC9snDM803IkOjKmUl6U5To9PUG/Q+J+NxFuliFeHSiETzCH6G3qMcxzF608J82yTAXlpewZjzJg8HnLssDK19OYUuZ1WrNRCxHDIJ6q3hLCwtUQQAAAiZoVun81fyR9P3MDCI/iuXKU/q8upRcyZUSuEbb6dCKlc2t/H/RsRLJhjJWgtLnmN4JZkTqIyY51OJawnntuLfd45U0T9PbTX6Cpc5D5abJlhgXeIVnM/5z8d92KTXnxQCi8uEct7cvIqDJAUgSRWE49A7Ab8Pmcl3rUtoZFe/17eKJmV5QIXM0PtaFxeOY3gpiaNMBw9DE9EQx7EpEKfbCiZjozd2dndR8XWBstCgyebm5wGQfp0VldtPhmcoXt0fx3FR40Ibo9HAoENNYbc0MVFVrWYDA46CGQ0GJpopy3crckvjq5ssl8IQ7wuGU11TRn9ahOAiDsBmU8Lrc+5bKXGNzw8B61HB0SoWLlEfVqSHkaDPjvAxz/nnXnviNgDAey8+Zq2FvCwwUQLXQXTdcoYuIQQ83wcECREAiKPUQJRPnFwxVQOze1wjvHMwdShjOEpiYqy9fsdKCAgA1K60KhQlShq4nEmYihSeT0w2Hk8AnbxRkaEIAI6uUzheHMdYPUKfJ5PAwINf/Tmvw5//GVUsnFtY1L3HyhEyBnV2d4wxIgwjQNFC1oaU5dVVVCos5Ot17OyQQiAhDNRaKwTzC0sYaUbv9/Hl9z4PAPCXjz2OXz33ON3HSufS0iJ+7Td+EwBw7yNn4IHmvaU8eLzxhirGiA0W4HdxR+Ji8sD9AICtagXHWKGXCkBMzPo8A691Df+evu00zj32CM1fmmB3K6uec9CkVIogmMDzPMScyPHo+roxOI2GQySpDmvJDkMeK58U5qh5KzsUal1ZCaDb7cw813WypTcej0wlIL1Bxpx0FgAryzbmf/rwkReG+l9xrhqVJhsKK4wQFAKmKEKVhdpoPDEhrwBwlMNJB/0Bzj5KyUslv2u/4iNgJc73ffzbNvHvbyQp3temsXkc1rDdGcDjA8KXuALNbTogpO063JCEaFB10F0kxdFhY+i983Nwub+b7/gd1Dl5bH0wALZpU33NvScBAO8+dxa/8Ev/BwDwwhe8wDI2BrNo4AMkIQTSJEGfD17VWt1UOKH3MfXOBJCrumQdNjNDJN0jLUNBteoZ6DpUApHjCd7I7UOaqf6VT7qqN/AKG3fI6MSH0CTGiCvNuZ5vjEvdzm7ur6YjzB/LK2u4cvki90EbrwITikkwcsHfF4QUAcY5cOH8eXzDHBlI3yFdnLnn2QCAhx8i+eB5vlFivqJVRYNLwYg4QRrwAdITGOt1GdHYW0mEdpV4dzvxMOJ+JgDuCuiaz+IiCfePehhxmDyEyAyBjsyFsR88KYZj28aJxDLy7WN8yCnv1zFUqBQC2V4nLWXQXKLsw0d230w/Z55RFLKQhXwLy7GQ3RLBrAXpWKFXCo7pG/+MjL8r1Rqta7vTsOD2CrkDww+skRH+Z65dxTsFK+M8p0JmzrC/P9/GXMphCkmKlHmy5Qh0eU+/wP16buLA5bDrTQgc435WUgAJyfpXsCL8J0Iemvy5Pk3zzZShS1dqLixgsk8okfnntMH+OtdafRC5BNzaeIucM0kXBwqDyRRv8nuWMqu5l1q8qI2U1mFdG0pNP3X/cqHB2liW9S8rbCLsMwZ+gA0TPz0e4HdMBUbbuEvfvbHdNM4YJ04BDu0f+AJdPmTcC5KPO2GMuTk6LA6Eix2WY0uORI1DhV5RIdn17oFEvlqf2ufzXy9R1S87vIaM0/pApVI7VFqZ0NKI1161VjfGLb9aMVXR0jQxFfjmFxZNVF8WehMbvpBSos6O325nb8bw5jhZMvo0STNjmYC1n7J+G4XWWxVYWiHDUKVSMcaF+XnihThJMezTfjEaDUwqCSltg4w22AMhG8tbjSa+uUIH518NA3yA5YWunicETILtv7PQMvJvEISoj/gaX2LI44+4sNVyP0Y8R3O2GwosRPT7QKWY5yPg61fJqfPh3jUYHRZWGDgUNi5fQnrIdRc9V4ejR/totZkO7ujJlNIUoZDSQZ/1ktQ4hxzoNVmXgMfyJFXKON8c1zWP8Pl3KYQJedzd7aDRrPPnjJf0eStJYsPvUsJU3W7Pz1vhYtpR3MTFC6wfpSkGnMZDOi6qbCDVIWi2jFZKZTq9kMaQr+dMJZHllxD4+8x3v1GvIenv5SdaCVO542sWWmjzM3phggan6Ok5wIgX2IALSd0JieqCNu4AEx7zxTjGNnfthXUaQ87QZesiQqKrneIHTVyYJIljtLii9+7ujll31VrThBtqI1ajUcdkkoWralmfpilGQ1rHuqJmmiSm3SAIzUEvSRXaHPq8u7ODAZ/ptQPFcZwsXZGl20dhZKpn9ljeua5rnG1Q2d7j+35WgMUMN1slg37PhN1KIY2+rc8f0nENgCaOIiP7PN+3QvsZSFOrmfN/EAR48ykqpPLD167i/dtW5VMASjlmX/3KhZYpP6lCiXhI/R07QI95SacJWRsmCJapj9upiyUujNFvN7HQobPkc/mc/F56kHlsVpQo2eecm6dDC10UQrxFCLEphHjgBte9TAgRCyHeeFh9KamkkkoqqaSSSiqppJJKKqmkkkoq6ZlPh4no+nkAPwHgrftdIMjU/l8B/NHNNiqlRLXeQJpmcPPJZA+Pn3kMALCyumK81Fl4RTwbzcBk4MjsSXRcz3hKVAoDN0ziyFj60yRGEJrCmTwWaaD2jutjrOGffoW8BQAef/RRAEC92TIor/FoaJ79lx/6Mwi2VOqyxr1ez1ijkyRFhVFT3c4uHPYa9DiUaOC4aLJVuVqrGbTZeDQwY7r3uc8HAGxv7RiLtutX8PV/8SEAwKv9uvFM/MALXggA+I2dazj/CxS6+PxEYoXRbykSPHKckDknrqVQI7LgK/YInGnV4N1NpUbvvO9h/AUnRH+lbJoX8RpOgu+vrkF1CK4fR5GVUjQf8ndYFFnIpc2Na1mJWZHBxW3vtw5N9VwX2qCslEKNQ650ewqq0OIcJ4lBDtQcx8BWd7d08j1lASXEVELeaSSXyLymqcp5TWcp7/E1ZZcrVVPyWKNs6s228QYIAKvsxUyTFP0ue824X8F4YubpyJEjuHfvMgDg1fAwx2EW35bQ7z8fR7ibPQ/3jENUORF0iBjn7iDP4unHdiAYITHZpWedHXZRGxIvHBMVbPFYmoMAYG/bZ0jyENz1nOejIqjvl69exeoq9f3ixYsFc3IwJISE4/pIVWoSjIZhYJJQFkPJrO/s8CE7UaqBHqcGnTAaZFB5Qg3o+xJTgjon7DSqYSYciK5pz9E63jH8R6hQ7dFM4hAuh3fvR5+4/+MAgKPrJzDDo0plvGTJSpqBLKyA7sjKJCdJgs/sULjE6/wmLl8kvvq+JSpm8avNBp7FiVKrwwkqiQ7RDbG9QJ7F6m6Qwc3Zu3rJd1BnpMSzlYPBkDxI91brJrzx7gEnqHcrgMgS7EeFZaAPk7LnqNwz93m+sj9cJ/wDwiAElVJZmWobkCJm90yCPWl5ZIWeFfXZaiAH+rERNDnIucX/VrtZqeyMn3yWtY1GI0M9WIjXLHrOgaNlogKOX3gYAPDZTsVc8+OMGnyL6+KFHNrzLCVwlmH6y8pDnxM+r/cSgyA4wjL8XNVBe0RzshykGDJCrOJUDQLuC2okB99U6QOTgkIHf+0kkOlI+6ED7b3Plk38dY7XbD4o4NNc2LQwd+Vl0iwqMJiMzb/tNAG67450EUc6RM1qpzDRvi2Dp8MSKSF0zMnfHSmmkthPX66wunUeAPC5XhN6/D+8SLz0876H59ZJpq2kCRZ4rfX6Q1xaIF5qbU/QF9SPD7BO8ZLFeXR7hCQ4NYnQY7TiXRXXDPA1TQr9+S+dIZBkoU+GDjrJcxFxCF+GoHIzdDuEQYib5N/CMTp7qix0s5AmBYLWi13PM4gEIQSajMzqdTtmYQ8GA6xwOgQt34PxyKBhojDEQCPjhTT3af3IdT1zXxhGBnmD6cIcergWn2xzCJ90PDS4cNSFCxRJ4vu+0Ytq9QYifn9BEJpIAaMRWP0aDPv4TEbFv7axYKJU/mOLCrf8OoCTjLz2gwBLjDKZDCJc4b3ueCdGIjX/0ni26hXU+DxyZJxAjblYVLWBIYemHQtZZqICgOav1Z7D8grN7+OPnsHc/Dx6XFDjwIlRdBqxAgDg840UwqQ6yJDpErxMUXVdIyM83zcFBtLILvDE/BGESKz1beRJmhodXPPzZDIxeoh0HAz6Gapbv7PA4hPB8qRSqZv9am93xxQmGw5oL6nVa6gyEmww6JtiPNc2rqI9t0Bt1Ggeujrdi54kiwyP+TXuN1Djvct1XbzmUUK9v7Jah+S5/HZGoL6jWsdLmnTtbUmMMKF3vrcdYW+F+lvdDbHH4fSCK609JoAmv4LlMEU8pt+PVWtY5LX7eo52+mm1nZOVtswvlKsHQYLe69bmppEprVbbIJmkyBBwQUA8EwYjOIxeas3NZ8hOpcwca0SpIwW6XDBAKZUhP4U0unKr1UaPEV0VDsFL4tgU44JSRkbpNCA2RVE+skOjxqIovCFGN7HOGnpNZBFqGf9EYWBKp0gn21f0A4IgRKtN/R30A8w/+DEAwOvmFiEYKf2mRTpT/WrNx7MWKPphvteHivScBegtUhvznQhKZHMFAFc9B/McYTE3SRF1OLF/4pozzKu5k2/2qiaMnMap1/bN6eCHhuhSSr0PwO4NLvtnAH4DwOYNriuppJJKKqmkkkoqqaSSSiqppJJKKqmk69LTlqNLCLEO4MsBvBbAy25w7TcC+EaAEF0CCsF4bGJbKb2cjo+WWGb0xpB/j4KRQdU4UiIpQLrohM9S2nkrlLHCO440ifxUGluJ9TLUhf4uHGeJ4MJgYpAKx0+dBgD0ez2TD6VSq6PBCe22tq5BCrKG6qSVruua0qZpqrDHScsd1zNWWIPAqXtWTPmuieGWUiBN6XmPPky5lU7OLcIxzhGJkD267x/1cGSBvArnWmQR/+mlu1C9SMnDl4TAGPS8yfw8Bmzd7aoUksfRuPMOAIB39Soc9p5szTfxyl32iFRc4Ch7ii5TPrB5x8U1RlhsXruSIQaADB0TH4yX0uan4t9h5tb2/2rrvQJM/pgwDGEnoNfXVnSSwqg4QZ4QWX6karViLPGZ91o/HYBSxpsopnoEANVa1XgcEhWZPCecZSTXlBlANhJ6bpDlZtKewNGgZzywlYqHa9coV1q/l32vneZHfB8h/2Nnr4sl9o69ezjAPU161x/aJN79ifWjOMldrPWHGLCl3hmOMdqg+eqvLmPCnskJe0TnIgerjDzqJwnWP0kozmEQoHGc8kOd4bUy326hxqVrr169gmv87Je//LNwdePCTB6/J0vTvDQa9jGbz+a6LVjoCJWhXyDyzjC+1OXE63E4st6jhM4FowQgDJJBmvuyfDU2yis2L3Bnh5IaC8c1edCIJ7L8ENpb32qRV3DQ7xZ6mK5dvWI+Z6W1syTp0zmK5+bpnWokxWKqMGDZNZLCyL8/xsCgAz/iUl++BxE8dvQkkxio0Tg7cYIhe3QnSYSA94eQx9+OBOY4AXtHKnwG56ULo9jkGNhr0xquJWNEIX2eTEazAzhAKpZN1p6k1M3zl5VPaIbPzEfOYyId470mECsn+EwsmWvuS/eZA9u9naEj9Pe5xPQWr1s3GT42zzFtEPmMAA4nI+MV7nT2cpg3mCSs9He9UsOA0YRdlWLCaOz3IEKd8wa+R9F3/7Hq49nMs7VxhD6jP/xUIeC5GLgSDvNWb5XQFmt7HSyyF7JeAdopr7cwhHKpjQ2NmFMJhEPrOE0OD608w0umqInJ8JEhuaa/N/fo3FTm/6Y2RQuhZbzQ9jvI9CKigkIqdvYjk2DeBo2xbma3ZbUZR3ZRhiK+FLg+2kmZnElQjkHShBMrwTmjFNa9Coa8TkZIDVr/PeEATf78EYcR8RUHVfZY1+IUYy5wEyuFIecjaQMYM19NuN2twRh17mJHCLysTjJvEMfopMQvFzl/E70KXjNpPCUbDlZOTfOTkBJSOkg4t6njOGaPSBIbvafzxmQ8IoVj5VDKIit0rj0pBeY5T60nfZMXsV6vZzmN4hj9PqHZNGracT205whFMej3TW7OXq9vktvXOQ9SmiaYTLKkz3lxNKU3KTsXWoagTpPI9EfraL63YBA0URyiwkiOCqqG93QS86NuFX2es34SIWbd7X2jDqqcbPwMI95/vtXC44x4iicRFCO6IgARz18vzXJbJTz/jVGItZj1g4rEHRrxHaVo6HxErtYVJKDo2uFwBK9CYzt6/CQ2Ll9AckBIwRlegkClUjXIG9q6GMlu56Ut2PvCKIuYmIzH0Mc7k7dLSFMUolaro8VFA0ajkTnfSSnMmUsnAjdFgDC9D2bJzU0icCmhWJZOxmP4/M6DSWDu1QXBNq5cNPyBJMZVzmcqhcTmNUIKLiwtm5mxHmzJ2Oy3gCNojlQaWFyk/eji1qaRaR8eD9Hk5OcPVakP3+ZGeG6FkFsr3QB97o5wJTY02iocm7NAn+diJVG4k/NWNyoCbcH55+IUV7kY2fnCpOGWzpGmuXonT5WmeSmKUyilTCRQkqQm5/Vw0DPRNvodCJkhSsPJ2Lx/IbNcWjpiJk5Sg+CM4yzPlVIK4xGNfyImqNZJT9FoTiGEsTtIx8HSCiFydzaz/NM692AcxVZ+UZUFbogsp3KaO+PZ50F7Yhk9mlx/zaZJYlCQupjIsnAxMbYPFz7zz8dUjAU+235M0rX/yXfRZMRoGibgwB1EjsSIc7t5SYJUF6DhLlaDBEsx74kOsN7gwgZhDHBBjWust9E7y87AT5RtxGFWZhFCnAbwu0qp5xb89msAfkgp9SEhxM/zdb9+ozallKrqVyCkh3BCL6JSrRrhfPTYEcN8Zx+jg3CSxpmyBArTAmCqJHKP+K8yL1UpaYQTCUFbIaO/TU663Wg2sL1BBzzXr6DZYuVkMESVGUOHCgaTiXlRk+HAwPCWV49ksGt+wZPxJFdRRFcjA5RZOPp+Mpxo5SGD5XqVKoIJMWWbD4ofe+nLoRgWu6eAN2xRSNDXnjiKLwMt+rsXaWzNjR0z9EvjganUcnm+hou8MJ4jfdRYAPpf+DeoD2cewU6HIJyLe7vY3KLD9N3NJQRcdarCB5u5xz+B8ZgMYb6fhSJEUfaOUuAjSqmX4gBJSqlct4I0SaxEyXZqb2GZr2C+LWzLkcYANscVtuI4NhtoYlcztFsTAq0WQT/7nLhezYSCaCoKQbIOv7n1nFUH0kI9TWJT0CBJ4tz1OmzWTubssfBtNJrYY35xpIMk0UodraULr/gMozQ9kER4/aMUHvRla0v4jgl9r8MSxCTEHfdShb6di5cgeB1uNSuIdJLPVOI02wjPniAjVuPUCdQ/Qe1OgjGSEfNGnGDpNFVbHF8hReHr7jiJOifFFELi4mWq7vLce+/F/3zzT0KlEZRKi1/kkyQpHVXxqxBCmEoqtCHNbj725iRyoab6IKesQ7/VzQJjBd9s/a4FRsEGJ6xKnJahs8aVcuJEGT6lw8Ps/qDl69qRo7hy6Xw2DubBaq2OsU7ebpHhwXR6HZC8qdVoDTz4/OdDcujOX3R28d1z9P1rkgn+dUjPeJCVqnqYYsjtNZt1tJl/rlQFQm2sHoWo8VSM+L14voc5VhBrzTrAcuzZkcBuyJVkV0kZedmVCxgMMri6/Tp8PkhNJsMDl01CCCW18mJ4wTZ6xeYAnquOl6uaV9Bwruoek5RmWNJxrIKvaZbwdCYJPZDnTTHLl9PPmY15sy7LjGK5Kn5TMo1+l8YgoSCQmFBzacIQBCvhf3r6NI6yLL1vNMQbtkgW/OOVZXwXF5B5nHnoeV4dKR+eP+kJdPkQP9eswfVprqNJjHsYtn+WZfuxOMJ6nytx1X3ouJr2JMH4FMmv2mUCrnuXHzWhuyq1QnV4flIKKT9Q2US8JKcMlFOPUEn++9y11n6UCzsrak/kFPV8G1PXTvOUVc0ua2O2kBAZ0KwCG/sZuApJy9iiA4DVdzjGEOi5tJc8cvI0XDaU/oUr8MZLFwAA37S+hu8FXXOOdZtWpNDhKYuFMlt0t+FiyFPhjgKc4HDrx3gf9H0X7ZANNxUfLT5s+mGCIbdRmydn5Is+8QBSaB6yDXqZnEhVfDiyaWreKQG9HS5mrs6+E1kYjTYSOlIiCPV9/G7SxOwnrbk5o0OpNDVrXTouPC1/C6vfqhx/aqe0dpxK6ZgK66ltu7cdAfYh0vCLnBrf9fTDbH+veB4mXOjEc2jPu/qc50GxjnxfNMEX7ZD+8g3Ly/jPFdr3dtj52YBj5NF21cUcy6PdpoMxd94fR5hn3SzQzv2Ki1MNMoDsDHuQfNC/baww4vOGdlK3r1wElOanFPc+/wUAyFjw8IMfQwocgmySynV8VCo+xtrwqFJj6JIy08erfHZLkiRLN5LaVVUdKJ0A3ApF1WelRrONgMccJ7FJ/5JaxpeZMPnr936f77k/jmOeMbcwb37duXbFvsrc0+LQRd3qeDw2RuCcLFWAxqloXnrXF7wOVU7tcEEIfOUDHwMAfPWJ4/gW1q0e5irZ1VShxZUBlxwHA04f0Gl6mLCq4Y4jtBkg0WO9qVZxsTLkKoHNOrY5tPHkKME1NurUeU0+f/MKIGYdE0C21hKVHKhsklIqz/XJ8a+yd9Bs0lhTq5q53lda84vGOby317HCZ4WVToOo2Wya/SEKQzMOx3FNuKLr+cZwNmG5JaXE/KI2Xqbo7u7wPAh2KNtb3+HZZIpJmOJ6Ljvg/ujlL8FSl3TwM51dfBOfzf+25+G7qnRW+MsBGcHXHR+CeVsNB9hmsE4yV8GIx+QFMeb4uKUBK7Li4PaE5mnosh4O4NjuGJJ5KD12FADQetcfMAiJneaWwdukJUmjfXnp6ay6+FIAb+NOLgP4IiFErJR6+9PYp5JKKqmkkkoqqaSSSiqppJJKKqmkkm5RetoMXUqp2/RnC9H19pu4D2EQAcg8oePxCA57b/v9fpbw0ZTwzSyk0pEmOSAhumYt8rq0ved5/CzkrqtUa+YaXc6zs7cHXYpXSMeEE6o0wWhAHmJjHVbUKwCo1hsYD+n3brdjYJE6hE1ZUGQhHIN6AoQpQZolu7ZDUmDgtWkSo9kgS+3zmvRX7e3hdJO8PCeGXRw/Qh7qz+328WxJ3p1KhcvsSglcIW/0SccB1gjp5dx9F+Qn7wMAnEsDgJPRb77jNwEAi5c3sDg3DwB4f72Kk5yAsbW+jKOfYCQIw7LvXF3FECs8fwqPnHkIf60khIG5+75vPIhxbMNIr99EmqSGHzSkvlKtwGPrfjK2kSwZ5FQphV6vjzw5GcvZ7kaLd2A8Vlnn8qEiwvRZw1cJzUhfOq5nknyqNM0QZ6YYg0LA3wkoAwVP4gDaC3U7I4EeC8d4xS55yp4vEvR7ZO1/dauJ+oTaWGCvQcuvAY+eBQAswQHmiQ97UYBdDs3YBnCBE69W9wgJePSO2zDhcOR4cR57m/R923ERfOxBAMCgzgnTwxDnNolnz507h3ufQ6DSzu4ennP33Xj03KM4aFIqZdizjcYC8tBizHzW4X2JSqccxVOIA+nmf8+FitkIieuUAJ/+nUMadejr2pE1dNnD3O/3CvuueanT6VgorQRCaHRYzdw3tjztaVqEoAA8Du26s0LzcH7QwytY7B5NgZ0t8nI/b66FlPvpccLLO1wPA0ar+mGKnRqttd3BBMeXCb16xREIdOli5ud7m02omHg0DENUmJ8fjkO83CP5t8Fro+W6GBgPUh6hd2hJVUEIFt+vIYqCKW+uRu/ZiAo7HO1GDWeXZugVYfYLx3FMyLWyQk4LkYnTBRSm99Nc8QyLlMAsnxaM0bQzFfKmUuPptkPNgdQgBu9kZHZ3NMJLeE9zIwXFXujXQuAYI2diRq72JyOcYs/jq1MX6TJ7Yb/8i/GR3/w1AEDQqODxPqUfjTu0H1eCBB1dzjtJkcbU/7YQqD1OXnbtuF/yfHS4j0kYTM3CIXpzDdpzHzTK9BzboTJT6Bgxfa2QueInZg+aDnE14sQKRTKIrWzvEtKxeF6Y37M90+a1aYTNVH9npnSan7OLKtV6liIhzsIlbvNpvA+oCJ/PQ1tOFRxGLLxOCVR4TBVGWLQnI7RGxGuL9Tq2OdTs7E4P3tF5AMC2J/GRHukaV3ZIHj3Pq8Kvke7VTxJTjv3FzTag9QRGDB5pL+BKTxc2yFAMOWTvoRAheD3XNXIjn6ahGGFnsDkKSBlNlQgJofdLBgspK0yn1+3m9BsdgpgksYmSUKy76dBH0wfr3ae8n4ZhEdJZwFKb9gFpFaBRhbD4l8NuVR51r1/JxEoFcJzDWx+aDPEZIX0+mmRojle7rkHID/hdL6cRFrmtO+Hh4QHpStW9EO7dlB5iu+JgwAnCv+infp4uXlpF/3/8BAAgedc74XLUQVSroMVta5TL0blFXO1uccdDPPoIJTQ/cvQoJ86/jm7xJMlxHMzNtdHt7EKk2UvQqJg4jrOzFf+apIn57HoeIl6zqaUfa2RWo9kwKV2Gg745NzWbLQyHJL8JJaIfnaFK81SAUuQ/8/PzCFgXGA9H5gfPr6Bep73n1Gk68n7kzz841U4mCwe9PR5TNXtqjjHt2+idHWe50tnZxsu7pB+3pECDC5O9VKWo8bqo8vwejVMs9ejatWPHcJXLIwzDAHKO9sLzSYIxr8fGLs2f25dY4rC8PRXD5a73hcILONT2POtYTdfDgIsdTK+pw0ItCSHgex6fZ+gZruugxn0e9vsmDFojBkfDoVX8KI8ONPsN85LnuujrAhcqi35wXc/wSxyGSLT+xO+uUm1iMtHpiByDZg2CSQZuflJzcj006RNphvp5ktFYW1eu4EWs2sZKwOE18TLfRcB6/DHFSOMgwNFrfBabn8MZFuXbV/bg3Eln+s2aiw6vj/YFmoe7jx2DirjYlSMx4N/DlUXMn7/Kw6HG5r0aOpG2feTX4c3M2qEZuoQQvwzgcwAsCyEuAfgegGLblFJvftLtgs73SZrVQHFdD6vLJOiXVpeNoWvTxL/a9VKySlOOFEhMHHYmmDR0MYljuB5XTQizELpgMoLHIQ8DNmjESYImQ0GDYGLaoEpjvABizzxDUxxHJpQsCgIEUxUSCK7PhgeVZgdolRQYuIQJy4yiyBw8144cM6GA/5gNgieHAeBOeB4c3Damtk6kDq7W6Jr5MTHhcm8IMLQZcYDxcap4FvcHOLFCIWPDa+cQMTz02IgNG/U2HuEqIMeXV9DgmN/6+nHgATY0sGHiLZMAr9nb5DmbwHX1Abw43O+gqV6rm6oYvW7HVL0UQph5Too2nCnS4aK6omIQBPBYMfP9iqlAlM7ETU8bFOzDpP0A6x8FglFKiVQrixb8X18ZBhO0OeyhUsk20yAIjHFKWYcbY4RJYlPhaDwO0Ol0AABvXCAj1bLjAi1aE5XJBC9rzgMATrseUs6btMmbbaviAWzEUqeO4ux9nwQADCVwxz0U0vjxy48j5ANpyvkstn7zd3CVw0I+48gR9NtkZKu7HgZsAOuxAfpfP/BJfD0bPY6tH8MHP/g+AMDq8hI63W6uyubBkQCkhCOFye+gVBby4DiuJW+0ciNMXPzMpjWtcE0bEuzKLPbhzYSxJrPfAbBzptQ5lFlv/kJIk1OkPxggH+aYD6Vt1OsYMXwZwjFjXllZxWUO6dFGXprvojw5wkjn13Neirln3YOd8wTtv0cAixfJqHCi2cIDnEupysOVowkCVtK2YoELfFh0PA/iagcAUFttIGI+bjNPrAwmOMMVbNcHY4DzudWVwhWuKhvHJJv+8I678PyPfoQemMbWGhSHprABYEWKQzhUxiP5A9UUP+U0yuxzLr+D6bKw2CkzauSNWzfqo/1saYmv1Prdym2TszEU8Knpmsy+lx4wI3uzOaFzpd43HcNPf4Pl24rjAhymuqok7pL03j9Detjj1rTCelsQY8Sfr7gKay+l0J3WK1+B53JYyB/+6Z9gnp9Xr5PMWxMprnGFxoWRQMfRMWvI+IXf2+WVdTS3LmTTY5NwzQHmcGjayFWw3xSGjNq8JFFhp5XOn+dIgSi15JHNljlWsg8RpHvoako5W27u0Xaev4JxqMgY7O08mtkl9n2ZYSIvX+lzMBlmOpYlM7+Yq/7dPpxAcRKSe1IHt7E+dbt08bCuUMaGi7brY8J617Wjq7jKOb+6nQjtDXImYLkOj2XTC9boUPC8UYqPcIXqo4lEwLzUcwRizmOieP965+234Tkf2y6Yl8MxSmiiA6VvKpfN0syLp29zYYG6LQWXnR0OV01OkhipKWedySOlUsRxNq4sf22Wozfjk+I+TI1Edyzf9dmOF+teCtByLL8VaD7MMhM6rmccNV/SngMANMcT0247SXGc862dki4e5DDFFqdPmYwCKOaVjoCpxpm4Es1LHQBAf72NhHXXP/1n/xQA8KpXfB6iLu2Lx1IHPZ6fqu8BoPcX8J7/0fk2jnSz2mAhH85TBSyuHMHe7lbB5Dw1klLCr9ZQqdQwHpMMrVYrJn+a53nwWF5oY5ItC+Ik++xXKtBJunTesuFgYHI0BZOJMQBNJkGWh6vQMCzyXxXJE15jvW7HnOMAZOGqFd8YgC9eOA8AaM0tGoMWSdXMeK8foc+PfqWKeoPCDpMkNpVMx+MJUnbIfCGnmGkPRphwrtr6YIj1bXIQnvSrGLHxc45zUr7Sc02+t8vdDi7P0zMWhyNcHRKPLq42EfP8BEfo93u7wAeGxEvPTRuQrMcPwgh9bnuHx949cgLO5Uen5k7/45CM8KzGJGl+ERudtteF59k6Kc27dsJS6LXWkxRqFX1Wp+/q9boJgx2NRkYWJfEkd27SH7VR1XFcIyBq1Rr2diyZfWA65DSzThvmC/ib/+oufAmvk7sdDy2WrS9wJeb6tHcJ18UDrHfdxY7EewKJ+zmn1lYwwQbvg64A6iyXKsdbCHVOtOPES83dPror9LyTQmKXwTgt6Zsu77CB+k9PnsJzHycwQ6oycEClWjWglOvRoRm6lFJ/9wlc+7WH1Y+SSiqppJJKKqmkkkoqqaSSSiqppJI+PejpzNH15IiTWKYhINj7kcYKVzfIej0cDRGzxVUjV4aDvkFm+ZUKRoMOAMDzq+DiXfA4QaXjeUjYExxORrlk6Noj3movGG+Brszjeb6pPqPSxKDGyPKYR0KkSWKs/EIKY51cXFoyEFuNZPL8ivFaIQcdzsF8zCcdSuN6nkkMeuniJdQYCn9umdBY12SEo9o7owTe+qzb6Xnbu+hwUr35lMOOogTnffY0NeegPvYJAMDSD30fHv+u7wMAzJ1Yx8YV8ngvM2LtbNXBHr8XP05xO1cEqT7wCXRadM3lbfIeKb+Kl/nkrXzPoMcJJotR5AdJSimkcYzYibG7t8tfAhFDbh3pzHgHrtOaQWyZkKAkQaw9BGliIKuziC6moipW9izcoOpakiQcOkZhY9PhHxASPQ5NE7KPJifBHw76WbVGgygQJjqyWqmaBOujYVaN5RKvleriHNBnmPLaGj74mS+nz/d9HJ1dmtd5RuOg4uIMJ788+sg51NnbdM4H5BWCrM4nHkYcnlZnhJr0PaBKfDyu+Kjx0BpLS2aFOVzwYCgEFjm0cSuNzRq6eOkSoJQJYzhYIndSEicGVSKEzN6XsBMs2x5hTVYIjrBQNQZ5sE+flTDXVGt1qgxIN1rXMJLC9bPqelJgyGHV1Qp5Z4ajIXqM1mu32hDskZprt4z38wpXCdre2oLtFdLjfPihh6cHlu9LztvkGg/ZJZZd5x59GEGXxnAidfD2O+8CAJxstfHY2bMAgKOMFLuSTrDLXjUZRrjLJd7/aBrgJMs8d3eMCXufjumQoHgCOSSeaHg+hiyP4zQ1lfYW2Qu46Xn4TK6S84HNK9nY1OFKJwUKvxcAlI0i0xcIASm1bNFVoKxQ2CQLs6QihzYCUD8h+5iavSVFmkyhXnIkUBwem8JU8ct5E+Xs78Li9Vxy/AKEkY2isxCGBaMAFKGLAKDDHsRPBAPc6XAFTeXg40cIheynCj1dMY5RgX/sAIt33QkAOOl62Hg3IUEvLC+i+QDtewvtRThcmGOJ18eWk8JjJJAnBFoapalENn4O1ep5FbyCUWUfAAxCb25+Ed1u15rDg6YiD2/B3Juw68SG3SDjpdQUzdG8Flm8luNXheL3y+8xsiqmUQicRiNnYWk59K3Z++zQcJg9y5a7yq7aaVCuViL9wqWbIb4IHUi0w/v1+WYF8zHt4fVY4f45kgteP8A5RiVVGXWxFUywx/xVuXAJktu4KjN9s94JEHHXGhxq0z+yYtD0GI7g8Vx61Rou8Zws8jNCz8NnN0nPfd9gB/l3fIiySaUIo8B6nn7mLATGYaSLUsqgKYIgyBVZihiJHSldVELk29onDDWYBJilG427iP9vTEIjXqXFe0IA6TQ6XELLR4FszxeQqHC0xAXWbR5Yq2KTw+o/K/XxwMo6tTAIcMWh++Y4rHroudjWRTd6PdQ5RPYhhDjG+nl9Z4xJhT6v1km3Cx58EAGjd9prq1jZZj13eRkxr+MrHLGyKVJ81jylMflA54pZu1cvX8Kx9XV0O/vrnk+W4jjGzs4ORBpDy8pJEJrKv47joML7dsRRIa4jTdoNG+hJqSNmdwadCsbzfBPeaoe5Oo5rdHfHpHxJp3RwTbPo+DRVSC0+0NtUv7NnqjHqiAkCvDqmhw1Gi9YbDXR4X9GIrigcm3EolSLiQgNSuNBseIXf4WTYRdzllClRit/hQmn1vREeZ9m0ViFeenwS4zzrk8eSFAvXiCfOyhh1RtakvQA+X1/hglJ7Shmjga+AASOl3TTFBUby6DnbqCi8lNPffHgysF5LliYB+6SzeLKklEIYBqwr0wOjMMTOFp11Pc81ERSxlZRe78Gu6xlZU2804fNZVoefJklqCiLQu1JWG7oPIifbAEqvpOeFCo49Gdl8s3LtZq/XJE1/zzA66gMyxSZ/eWfk4Oe42rUYBGhydNcC88aVREHX9RLjMVos789CYa7Kxcz2JhAsl+a4EnFgIb8jz0WLvxetCiJOTO/wQorn2visBYoo+kBnG2tHjpjet5ok5zauXb7OCEsqqaSSSiqppJJKKqmkkkoqqaSSSirpGUC3HKJLKYUoDKBAic8AoNvpos5Ij1a7bSzym5yMOk4UOHwYwXhsPJZhMDYewFqTPHP1eg2bG4Qqia1kpCb4F0C/uwufE+/phO1zc20TP+46LkbaI6eUQfHE7NGjfCk64TeMJ6Gzt2vivG2LsPaaUhyx7TGftdjqZ0nHMXkwhEhxJ8/PW9iTfH80wPcF1NYpJdF4+DFqII0Qe/nEoNsiQY/LP3ff8EXYOUNx1ytbW2guEUorfPY9aLAXSz10BgDwNyo1vJPH85KFJexyHqUHL13Ci706P4I8XO8LRviocZ64kCDvyOFlmchIQSEIJiZnFXlTaOyJhbzSXgiZy8FUbDW3v7eTJu+L5Mpu5Ieh2DlbiLDIjyZLAD7lFeXvBHuD2+02JXoFGM015b2SrsnnE0QxhiNKepsqB3czWvJdI3qn3fsfwK+tn6SLIw/YoLW36Xt4/MWUCP6V7/0Q/d7p4PaleQDAufVjmFxm71YcIeacd2GzjjojamrHjwMA4o1NrHDSw0ff9wHjYXWDKPPC8djPO8DDvM5rowlOnSKUxrmzj9xg/p48SemgWW9gMBqZvtmUxInxUma0H/LJylG0rz9iFjUTRpGFemF+dX04nK+v0WyYdzocDAyKbzym9RaEockq4ld8I0N2tnfgMSpKe+ijNJpCF96sB0nA9tDfxt6i97GX81q/g2+ndI5opSHaI3rGxydjxM9/NgDgxMcpr5tT8dHg/GJ/ngRYcKgPQ5Ui4LX28KCLO55LPHiC2x1NNnDMod/7k4lZd76QEOtU0tgdk1f1QsVDj5OSi2uXIXj8qVIZ+uZQEILctF2MwkIyUfLu7DMAeL5nlcem62cbVEUfTRuz1/PYiiBUVjLmQtmkFGZyJOlr06lcVLnk+gKAlbvODNQx36mC9aGExF0V8jj+Cica/mRaw+s5t1FNAD639UmZYOnzXgsAOP3/3gMAcDyBwTWSXeO/9SW4xkih2tY2LjI6+XKjghOcj3Oii9UkI9yu0URJatCm8DyYCWMZ9UA4wfvZC+9W20gZNd7tdqfk8GGQssR8MQInj3gqRhJrGZAa5LrIAHip3VbB8wGzf0rpGL4RUiJhxIoUoiCPosp/zvGE7puwur5fbpL9vufvzPAFTjEvvbVD+9yFiov/zSi+BQkMGR1wORyjE1G7L2R59rjvwEvp2jNJAMnXJo0q9hjBtDUZockoLS1LHt3dxmnOy+NXqggY/dXvdnGCEXDnOTfWQyfW8aHIyoFn1sxhoQI1CfqfI03kwMz7YUoMyl0S2kJfYWRXxleS9dckjpErWGDkBpATRNdLGJ7LqZXve/ZlEf8XXWv9miYWQjB/TfalJWOZ192Ki1V+Ve/ghNaPXd7At1YJNXKPUzHFMT4ejNFhufnZdcqjec53UGV+eiSN4DEvhJ4DR3GupOYcjtx+GgAwOUPo50sXzmCd+SmMI+iUztXLV6AYEXecefC8EPhz1umgBHzOxacUcOn8WSSHhYRPE6RKmYJdcRRACa3TJHA9GmuFzyZhnGSoYyjrFdiFKViumCJBJHd03qRKtWr0n3q9ZvR0LXcEMj1eKbWPrq/lo4Uatd6/gIKGXmW5lrO+QQijr1eqtQzhaqGv9fpIkgQp6zqQPo7zGfR3+yQLBvUa/r1JKi4gecwXXWGQgHdwUZZPehIe5xp82BeY571pL0zhszyJRyN8glFaLZZNHQg8h4v1XAlD+DyONdeDr1FRPPa/HA/xYZ3DzyokIoTIFS45SFLQ7ylbk3YBrvFobN6DdLI9Q8uoVEnzGucXFrC3Swg7nXPNcz0TzaWUgo0wz+Vw40TtBnanUsicrnwjuWP/No2SL7rmZiinuOV+WeeIt99l1OEFtPEdHOWxJAXGvE4eiQNMhsQT3+SSTnzWl/ASktsPhyNI1usmrsQyi4vtnR485mneJjGqNXB0pwOAcqrp9ZW4W3CWCY1Y3aXfL+/t4U/5bJiqFBtXdbL6m8uTe8sZumzqdvb4k8SYw3X2dgVcVsJ0Ir1mq2Xea6IiBJwsVFjzM+JwvSQMkOhkao5EnGRCUycNPHLshBGcumrHxsYV05bregSBRD58RMMgw2CS259rDAVM06ySlAkJiLIKd9MH3iwpcRbOqKunOI5rFidEipfzIfL/doiRH69X8OcpbWidah2v5E11e76NwfI8AGD5Iiv8cYAJw6jPP/YYPrJNSf6jt/8WXtjihOYf/SiOczLpNd50HeXis1coOeLGtU3EWtAD+Kt4wp9pIl7i+qi3SEEMwyFGfV2hwkOVK2b0eh0cFgkAMb93JaSpwAgoE6ahF1SaEpwaKEiWPx0epLJNWClYicepbbrWDlkrEGbCTvJcrEwWjknYBjdqoN1um0NKp9sxlW2iKDQFADRvQ6XmQBImWSidEDFexevil/lQ+KBXwxU2TF0L+njRBdqQx8tNxJcuUXussMdCYLhL621bpdhtEf+HS+tosXImWk14/N5rH71fdwcuj8eRLiKek61uF7c///kAYBKxPuvq5Zwx5eL5c9edq4OgNE0wGHShEyPTo61CGEIYxcrhEI4kSabeqXV4F9kmyQ0g45OsIgwdkAT3IYWRE/zgSqVqZFqns5fJjWlDA/jgyr9vb22ZOfT9CoZsqL65jdXmbU36JGyFDyHBK7ga59uuErzcbTTQmaf7d5Hi6Ih4aVMCzqNkZL9dG4/9CnyG/i92InRZSQ0XWrjcp/760sE2h2u0OIRtPXWwx8pIWq0bw2SUxEhGvN5ZBrx6MIbDB95avY6RNlI4rjkIDPqHUX2RDnJCSmsdS0g3g9nrfWI80gk5BRoM5Z5MJqYISeE7sysmWtfM6A3TYYPCukgJ69CnTMhaln/dNW86zRnsBGZCsJXKIhvtw62yeNo6pNoVI7PvU7yUHRaPRqQYbccp/orF+T2ug7kh8chkNMZZ5qdVnrP+uIcO7+nX/uR9GHLIwrVBDxfG1F4iE7zmxS+hp91H4YyNVEDxmr4IhQZ3p55EqGkvG4e2vEI4EKwfuK6DmL+PwxC5RO4HTmrGYJWRNYepzTPmRWZXiqyCqkmkbIf322OwDaG5gWnnXWwM645wjKEjmnYyWveYz/ZWaQ4UxYYOXZinWCeeNnjo5yR4Fe9ZFxS9w0uBxPYCh6t6KSq8D/aEwp6ePj6AS99Fp0739bpdUyf8mqMy44fnYY31ppiLrhyNgDobUCu1OpR2RjmOKcBS26T1/oKdXVNIZOZQVGSYPjBSZOi31rTA9KFDy4JMAdKh8CqJjdNHpcq8qiS2jJs2D1lt6gMqJaufNlruZ9wqOuTZc5TnzazL+xg39iugQQOa6g+1MZkM8ewK6TSX+PfdMMVim3j+3UmIY6yHu1DYYZ7VDnKn4qHbIEHW3xtjwu1ecx2sL8wDABZuvx2nT5DDsftXlLy5UqlB8J7mVyq67goGkwA+F9NIOWTpeWFiikPkHRQp6s02hpyI/CBJKcXnFgWHDVlSOqjoAljIzkONFjlYu52uWUNpYskKMbUGQLOvDRlJqkzRqXqzacLc+/2+CZXWicuTNDXV8+I4vr6hy9bhrWeTzb+oKqcZvOHvyXhk+pPwGUo60gqxzIx01aqPVzjU39+N6Z7H+zHcZXqfV5TCaEzP8ScBYh0iGOsqgA4C3tsud7vY5rMXqh6GQ5JDm2mKeUnPeA6HyS57PgTP+2nXNeGjSBNMUs271J9jSmU6bJpYDoS8IfhgScycocIggOuR3Kw2mghGA30l9UchM7xZhvRqtYr2XJvbIP1uY+Oq4RMppWVsFZnuAgGXz/raxkAG/iIHy40cEvs5aZ4I3WgjSPBinYqGdfG9GIgWaB2cBeDw+gligQbzYI/XxmXHQVDnM2WgEHO4/l61ikaHdKZIKTT43Hmaz0c1x8McT18ghOGfXhCgzjJPAxdeCQVX1/dRmd4hhMDSMoGUtjYzG8w0laGLJZVUUkkllVRSSSWVVFJJJZVUUkklPSPolkN0SSFQqVQxmURw2PqYpBF04tHhaGjslzVGhOgS9wBZbqv87zRxoAu6RmyxVMEY2gJaqVYRD7MwMMHW7X6vh+GgO9M3G2Gl0dzVWhVDhik77MWtVmvGC1ev1zk5HUxSZgCmdGweipsnU8JUauu/Y9BdQgiE4yxB6y8OCf22sEgJ3b65luJjICv3K5AlzF7tjLC6Sdd2W+QdWLzjbsjFeQDAXsXF19z7OgDABzc20HvoIQDA9uY13MZJxZ1TlOwXlzfR6JI3oqJiDGL67AIYMoRdg84GQsAVHAaRxmbEaarguYfMpkqXiM28dJPxLETb5E9ME1PwAEgzrwUwi8iaSapaZNVXFhIs+yqXNFpZ1+bKogN24kUb5m9DpLVXdTAYmNLMx9bXTQnn0bCPiS7TansmMzgSoL1MUuL/Tvp8KXkuvn65hf/OHun/LwyR8Fo5dWUPp/glby7NAQBW603McaL4Rc+Fy97rycWrGHFI0PH5ecSfpDDDbV4r846fpSAWArexRyuYa2KOyyrvcqJ0tTCPdK9D983PmVDhK1esZOKHQYJCcTRMuVavYdjv6B/N3GqElZBuDnUneUxpHFu91O/QDme0n2n5K9LY+jfdNx72YLyzwjXJUU1/AYv/phBY2iMV2OFwNhXNpc3zFg+nlhdcZDL5bUOSpa5LHqSvXmvhdwLq7xtkhEWW10cGQ7jsvbyoiySMJqjwunVrPp49R5DnB6VCm9vzwwin2Qt5zaO/UihTtGEzDFFjD1JFSEQM3649+1nU89MnMPzQBwFweXOWF67nIY4PI5RDk4B0XCs0CIDIwqnTJDGyv8LhL41GIwu3VrbMymSA9gonOUQELL5Q1rpXeXnAXxm+yaF3pHWbMpfOJsGfatcaW3a/Na/CxYxnU6XGq0fXaD4Gfqmzw+Mkvvm2xSZ+do/k1fcvzGHAk/Ii5UE9dA4A8BjLh2cfXcfGNQ5RvHgJV+bJo7t+6gSi26lgy+n5eWw/QuH5iU4k7roYsXf3ZKWG88GQh6RQCzOELAD4rgN/gWRhsHU1C8G0wjsOh6a93Tb6oQgJZb1bG6UihIUin+2vgECWCH4/X2qm6+j3GE2jo4uQXNP75PT3ue+sZ1wPjTHz2Tff/fKQ+MbxSJb8w3YDP82e7L+nUtR4Ld0lfIwY9f4os+LKODJyZa9eQ8z6n6xUMB53AAAv8yqIdLoKXssvWFpBn5Etk1YDcyx7neEQ1wY0puPc1g4EJK/9dKiD0q4zJwdEQgi4roM0VQalLESmAwuR8ZpGafmVqinC5FdqVihX1k+NIIcQJkxLWghC+r4gFPrGHZ79Tqkp9s1QoSqDlmbXZoshu3YmrBIgtGG2hgSvAQWFd7IsqNVI9/6q+Tp+aUB61z+oV+CzrvvSVGKLn3cfh+PfPo5MBEHSrMLhYiq1RGHIBYbuPXoMyYOkk8/fTeka5COPw7vrFAAg6HahdKGrOIbkzy7/rbUaEDt6lMKEJidJjFq9cePMGU+ChBBwPJcQvbzXVao1JIkuWBFCsQ6g0TTNZgM7W1l6mCwMTRr9VssYKSVSk2IgNXpumiYmokEpIObwPl8ju3yf0hqAzp2GX+19y0Iz3wg3olQB3wqY/o4MYj6jJJfqJNPBkxh4T4We12Lk+d+rSvwo89KXSIU7FI3jTrgYsJx6iPe5+XGKRX7uZr2KAZ9ztxwBT5+HkhivZrl3lvXVe6p11HmYnuvhHIfdL0iJbV7bi1rHFbDQwTbS8jD3OPssxbLIcbC6Rufezt4e6ozeHvb1GcYxe3Bzbh5Hj9C1vufj0csP0zXcVrPVzsJgk6n9yug8WWRVPkSzCMm1zx5sj+emaT/9Yb82dCoeB78bcrEGh3jpDUsN/FFAc/LGmou5GvHB30olAt7nzvHfe4LUyIn75xqYDIgnonGIiMd2Qgks2SYNADXfN9Faca0CZ4MixRwBgIuKVVgGBKtLwN7VmfHU6w2026RLlYiukkoqqaSSSiqppJJKKqmkkkoqqaSSnvF0yyG6UgUEkwSu65mcSkSZVbTC+VR0kncvSYz1NZxMsHqM0B/BeGzKjpoEddJHtUrW75FBc1G7OqfNeGxb3rUHS8Fny3owGZu8E5NxFlftetl0a+/dcNA3Zd3JHjudSyKz+JJ3fxZBoD0CaZpw4j22eepy557CZ7TIip1y/H2nPodXTmg87VQi4OSoNSmBGo1jjj2Nk/4AF46TlfvkS14Ejy2on/OFr8cn/u//BQB0L12E/yihaXYY2fMre5fwslVK7LzSXsL4KpX/bPkeXPbANI5QKeNnNdp4FZfA/ZWzn8hi1dN4Ng/WAROVIld5T0MuwTLH26cqu34/r0SulDr/tRFf+SdPXWt9nPGcWaiImSS7trckjzAz+Sx08vwkgfZ0Xb1y1crLNc4QHzz3rltFGEzMuAT3IUkSvII9kmPm/5Hv441VnTtDQXJycwiJifz/2XvPMEmy4zz3PenKm/Zmuseb9X6BhTcEQQL0XqIVJVI0oqdoJIqCyEtKNLr0RvSiBy4dCIIACYAEYRa7i8Vi/ezueD/tu8tXpb0/TmRWVnf17IKYubrgU/FjproqzcnMyDhxIr74QngBNvSxNmtNnlnUddWzb34jx5Y0f9Kjf/FOWsJB8oRtcZtE8/OSdeuViqwKEqxgWixXtU4vjlcJHn8KgOc3dTqyHMGE3IPnjj+NobROm6ZNENwIPiXQz0GjWiLh3XF7BnEraX17dz67NHdDko1UCrWD5HsIugbQvF5pFEac/RaSY2UwNKeR4hLrZ65TRLsD43wp8iJZqjRSJMbmRS53loWLraL5N9oEvEqI4nOeIhc3AbFtJoQzx7H08/TCiMctfS82mnWspkZjVapVTmxoZE43CNkjxK0NaRiymTXJ1jUCIhtEuHLc2Qiy8v6cjfQzHDMUr7npFgBOCKcTaE6NotjVbocbIzGnUoKm6iML0txdrmSew8BPCG2VYSQ8Jmm+vihB1m23YUPsELCDj0ZpPZeDDX6f6GyKmPclq1DatpGcQxkp8tqBsaRsYoLoCri3ILZJdlm2TL5tSuuW6gWUfNkvk6EjKOL8hEYC1ja3eLSodcs+coiDF/Wc9fwTT6GEj+1Ku00kjW72CwJzzQiZiY/rueyT7/EDIrF/PeHtWHdM9qxp1PTZVEv69DXfGEm/l7z45+0IhAFO0GHzX/x7+nnAP6+lzBCl2QEnSevd7plvw7IxZLz+NhTjzvOls+IB90qb867Yq5pl8bny2e24dAXR2cg4bKLfO0cQgy3D4ClP+0IbgcX+skYHZpsttuRajnfbVJa1DtREx0/lM7whq2evXLPN2oyeK8PzHe4VV+gfpG17USlmxZe8tOP53jiJokj4/6KB72L+TyeTxRNbm+hNGCbNkvKFAq2GRiGpFAI4RlZEKU7QMNXQQmEmPICfGjIkjTIewnm5Y9trfU7d54FmGyk/L+UHRlHMqai4WXyZQOabWhjy1qq2V3h9Higvk6Er+hQjZJ5XASfcmC82w/i01otbWx2uCIH8Q8ef4Z5Fjd7KSTOVsS/7fHrP63nLDwMMQbJkvICezAWnxvQ8Nmaa3Dyt10fHr57pN1IyDBq12g0ho485ukzT7Dc/6vUS+2MYJqbcr0q1CsD6+nrCRem6vWSN1et2Bxp56f/7tittK7xup48wtExs8RGS9ZTrJoivbru/5kujFeMBRwPcip+CXkbb/xji0yd8RP3vw9DjFlP7TT3xU1pmnjcLVxKdHuuCiAwsgwl5L8dl3JZSPNnWvtKKr5iURkN5z+es6ERWKU7KM8iIjfmzxjpHxPfaazncK1VVS2GAJXbviqO/mw8j9hf0WvFce+ul35NPQxQK0zAIw6DPpaX6DbrCwE+eebw26vVc4nvcrNfxpHppa2MjxcssHFXdTtK0rNve6avEo0g3MRg2ymt/jnb5/cX0avvv23UpzR0IaZ7MW6WSxhcbFhgGrynp+9ft9OgKF+V6zsGW9WEx5rdD8XRD31+va1CQ55/zw4THa42Ig3LsqtjL5dBj1pH3utnCE5648c06gbxXZw/oRmQEAZMxv6HXX7+1mg16YhOuJZ9xgS4tmszTkZfTdXspFVHJBBsHjdpRRKGknQwn6hOBtlqtfic9OYLvu/3FgRwvPnKiSFGE5QiBvNcv6XFltWM7GUwxDIVigdrWlt426ewQ4cZOAFESFIsApfokhKBJoLNZfa52q0WYkNT3X8608iaBsMCkXNGKYXoeX1/VjtNnhXr/X4siDsp1XnIiFvx4krbwivp8DVHCS0f3M7WwB4Cp+XmuPPQIAGP/+CDvOv4YAAcMi8qXf4k+xHveB8DXz+3nY1LCsVAqcf+dbwXg3N++l66cu+pJl5lD+7j/kl5UvLtQodXU92x496XrLQojVUKmgxTDJhwtEX0y+jAMk2YCSafN9JGVOWjs1BBjNvD7jg+kCSsHIfTxplZqgbltrMOIMOPrDFw8MeCGUjvmac91k9KoMFSJE5ozbb57Sgcwv7yg36vvam4xXdH3oVswUD25F6Eie+wIAM8/pnVlrVrEEKh9vlDEb+rnfmuuwkkpv9gMVpP3eD6n9Tjs+QQyHtdQmBKI3updIRA4+kI8Yc1M8pUNfaxf6hToSBlvxjIJQwOinc/1uogEFJRMIp7rprrZKQY6yREHHdLPevBYspH8nYbMmww67EOCSMN07MXKowaCsp/qxBofI1XOkT5/osMOiBNfcBy+rKSdofvkcv7SyVBwtd3YsGGpoZ17MwyTTlQX5nWAPLQtcssa8mzbGSpy7Ysdj4Y8g5Jj69IIoCAE9UVl4EuHq54CBKbtGSY9KbGellLsq/Utxi9eAGB2YpzlDR1stWz7hi8rEwL3IQFO7ZAP2hPP9ZL7HIX9e57ykfvlQS/FiUqrywCRfLxbmhR8SIAzba+2lTnuOOdAF08j6fLpe14qwJVOJMTb2snvWdPkW6o6aPXvxDH6950mE5JEaeUs8nHpUxARiP3byGj9aOyZoCKlq7ULF4kEhr/Y6XFBAmA5z2dDbFNOArL7TAdLdDMANmRoU4aRVKtnZZ5YtSO+USD7P9Zq9BN2qeYZN1Z2zabIz+kAe7xtqhxrV9sZJtv2tSD1nAYCUkMucnsH1x3lkemunH0pFktMTWr/5qqUP3i9TkL/EPke/ku+qRZIp828bfPllSoAr5NS/N+3bMoS3OrmLSZFl8ohrIovcyHUOtOyDLrCoFsvFghl7MfsLBnZ1jdgtqLt33xT26bVtQ1aQgngZjKU5b5edl0+KYvwiayed2t+j68u6oXXzzQG703cHZYX6/T8z5b4fe/bpLjUqtvu+9bxc/Q8j6yQn7u9HsqMF6JK/Nl+cCIdxNdtoIS4nlTQPxkDvLQAX6r0Ot5lQC3EVqaSAv13Id38JXWs7UnG+ACJvVbEc13WyPAl4zrgflD8x3eHBhUxEO28zQFJUmTCiIzcy+d97edcNCKyok/u+ASzck+syGBxWjc0aHR6tJ7VDTJY2wLA2awl3dHtjU3MmOQ9m02CXvtrWvdO5C0+W8b7nJkhCvqNmExDEQY3aMaLA6dxslVFSWOKKOyvl+KGOKZpJn5VNl+gLYEopVSq/FV8V0JU+qFHfUqXSJKehlOgKyTlcRMz27KScmpd3qa/N5VKyioH5UXuzdAS/t32j3Z8jkKLSPzHai7Hlxf0u/SFUl74Nt/lXlG7sfESmTV9TwqhwhBdaglR+LKpWBa9czCZk2PsKzg8uKn9GzeCSNahU9JQpRzZ+HLti3aG2ORcdX3i1gFBV9/Tczmbz8vq/X61lbo8xQ3zvyOi5JnFpai24yT0QZbVp/eJS1hN0yLuOWeaBhcvXJRhhqmkoB6v2+0kpdjKMAdLE1PzY9KcJT2nvWj5/Eu5J8OCYfE50gmo9LGG2UubeC2SMUw+T0j375Fk3p+4IS+z5D0p2OTrUp7uh7RkvyXxWzYtg25MFB8ETEq8Ym8pxxlpGNiOIsYkQFiJgTthmKwD62FINQ5M2haG0NkcuaoTio8VHb46r/f/2Wa/xZdpmjSkkeC1ZFS6OJKRjGQkIxnJSEYykpGMZCQjGclIRjKSfxHyGYroMohCFxVl+3+nIpxBTBYspQIoaDfjlqJhEgHM2DZet09MCBom62RjgsJQ2oLqLLgRZ8iidFxVJdvG4tg2U1M6w5LN5ahLe+i4Va1GBOljhYGflIplsjl6UioWR407vp9qHd+XbK6AKdH2+Npsx0kyakHQpbapx364VODNEkG/KF1kf6Jn8ojAlTeDiNNyjnkjoisE8suz+hosBVeeew6A4w8/zNn6FgC333s/r//ctwBw66EjnFqTbOqUzlDeXCry5lUdkf2vzzzG8iMfAuD1mQILk3J/JNZ6+/On+XkpCc3mCkkbY9O0EvTUjRBNhGnju10sgS6bZoaeoLNMQyWtidPE3fF3hmElsFbTNLeRR26Drg4E7AegEjuD+QOBfrXt8za0WRj0URxR1EcQKZXoWUyaXa5UaEoWD/qlBp7nJ4eL9TEIUkSzqETXJy2LL5/SiJoLJf38finwedrW74Dr9RgzJINkRHSkYYEr79VCdYwVedbn//cfc0bg+G4xw+E1feHZepNPmgIhV/q57HU9XFuP4WG3Q9nS205u1bhv734ApuTa58plzgh6p+N6gM4+9Ho3uDQo7L/jicTE6+l2y7tmlePvFX3zHGeitzUHSE6byuQoazgyJF1K9mLXsOvf10AjpnU0ot9lYkjGHPxERytGxGvk8zkx59/X6vGYlI93vYAtIVBtmxGVmFz9skYBHhib4HkpCSp4HqcENp0JIyYENWP5AR9s6PLY1xV1Rn2y67Fk6mf1Qa9LScZW7vrcL2hdRxAW1ZPnWJLSifGJSZbWtE0zDTOBx98wUejnm0LCxGXv0bB7mzYVhkre32hIubUiZZ+uhfTbrWRs+29RtNOODZR0bMtYb9cdo38vc9lMUjajEbaDDRYGm4D0594Jy+CrpT38czn9/W8aRT7p6Puw2uuRl7m6YJk0pXy3KfrkWX17Po7iMUF6ZQ2HI/IOGT0v0cnsHbcCsPTMcdpSotjaN8ek6J5z9iLZlp5b48Y2i6HPxySbbJiG7pe94/7cCIl1JLZB21AJ25sDEJHqmT74vKJ0Fjn+uj/+QeqF+I+0bYrLq43+xruVRG5HesVHs/o+1NWrmqg29tHCKEpQzGH0qVAf9FGS40bEnTLcFzJ6vN/RgWdzgg50A1YMPZ5nQw9bbI+oBg9k8yzL/dk0LS75ep5bNQ32CsK01wt5Qcob7xB/7q1OiRN1nQn3v+XfcuKZZwEozU6SP3FGX3tHH8sP4WxCYj1ol6PwButT8ux2nieib3viJkxhEOL23GR8YVr/ttmmKEUUH+2Y6+Lzk7rkXZAR2+elwUFuu56+D5Uuhd5x3oFzDDuXGrwe0cOKqbhHqiRWHL3tf4kszmcFSeaFXBQ01ZYNLSF7XpL97735Zmqbeh7bUAbnBXlcyFocmpnV5wDcu28H4Oi99+vz/937qT+v/ffyH/8OPPk0AC98+3ezT4YciD5OuSFrgqBXkb/NhTBT5OLXU5QQvPfPFkaKMF4vRSFZW49pWRCb6eeay+eT0jSiADN+75Py0j7CXBHRp2wIk8dkOw6u+Mi2ma6akUOknqduGrbNZu94DYbY9KFIrl3m3IHdY0Rsf87MRwF7xPY8LvPcf/My/FOodWJDwYKgmB/sdamKrbTEL2tGEU357BDymPjr+xyToqC3Or7HI4E+XkPm4tuzOeyMfp8fb20lNv8WZbEhn+PS7awb8EInvXaN79WNgywrpbBtG89NVVr1ulhig1zPw7Yzsq2stYNgoKQ6bg430OSLeOhRUvo4KINzZVyllaylwmhw22tfxS7bXMNHSyTtE11r2zCZHycyNg/k9f3p5PR9+GFPccHp28OuqZ//mhHRFf+zG2o9KSkTS+xjThmclf02HHDErlRdn0/IPHdvqPdfyFVZFnt3qVIkL2jWcTPDy3qCyhP/em+jy4lk7iB5LEEQJE0FriWfgYGuiAiXiIjqhF60rCwtEw2BEkcSLPIjSJd2maLo1alJmsLpEk/GURjQi4Nfaf4R+qWHluVgCOwz8dENi5xA9iYmx6nX9c0/f+5ccgxHYIG9Xi/ZPyJK6tJd18W2446QAhnWf8kI+g5fd4AnLA5MhEmtummazBZ0IKvmu9RkDZETZ+ykZSR12edX1qnJGGYDg2fHNCTWM/T9K6xvEAmX2Zrf5bY779HHarfZ5+sykaBUZErgj++S0kZ/fozKuA56vX52ig9+/CF9PNtiflwHuqpt6WrSc/kKeSneb0JF+HoajeZA18zrLVEU4bs9UEZiwHy3XxYapoJI8do9jKKkpC+KQjwpX9BBo/hZxA7BLg5YFKYmvm0Livi7gYlR9fcjtQ2AYSbfD/BApYyyLUFf3w+SoOzs3BxdcZg3t7ZI65E+1WDHl7IEAjfCkI9Y+rcpMT6nMyFzorutXkBGJg7PD3jW1mNYyul7dk+zQVug6Mo2mJBLqtsB+aJ2aGqbG5iyAHyuod/RRrFMS0oQZ/MF7urq405nCpy8cgmAQxOat2LCyfIVMuH+GQb5otbNdrv54nPFpyup8j/LtBKo99B5apeFgvwYH1D+U6nnH2z7PbXw3NHpbPuJX+rCWkGySDTpdwxNbzKMz2tIEIN0dyrFhNjCRhRwSgKaSmzwJyzFtHQSa/o9chLQDD2PZ4SPwpcSjmK7RTHUemkU87jCu9U0DekpC88GLuUxXbpxZrKqf7+ySkmg1EfLRY7UYnvq48YwbOmMV5ya4sva2p6/48OfTJ5BvpCnJDwhaxLkv76Suo+xKCOVVBn2/FLzXxgNDXDGzqlt20kHIaVUKpYWMshpwuAxhjr0uwxn1+Gpwc/xseRwnU6nv8hMdQXuS7qUDqZk7t0KfD4pzlNGui4+kYmYFv5M24+YkvxXy3M5Kx3NlsQTmrEstqSM1bJNXpHV9qgVBtze1t9/LGvju3q/J554HIB9N92MfVkHW3JnLuIKt1PY6rAxUQWgWNO6OYbBv5G5+b1bq6nrv9GBru2y/Xy7Odfxz+m5Z2fpTpQKxg6Vbf6U7JQ6leovQkMvZUd3BtgNw+wHQiOdJASYlATjlYutT4Hbs28/lTKZyOtns+X3WIlzm7L4fdxU7BF/JO/2qNoS/IwinpWOrk3xDaYtk66UellGxKLoTNOBSOamRuBRq+t38DnhSVkyQ+bGdCLJf+Jpyk9o/kmn02VL3tcZud5FFJ8tnKl/Vl9LXZIx7LZdX4nCgZJoUIltSZdVx8k/pdId8VLjUoodpYAvZcy7bTMQTx9ms17kAGkOpmSTcJs+DgnOJj7cYGI2sU2eS1v0pSAB9GdC2CMJwHavR1H8pjXfoyuLzssy190/XmVSAgfdboPJvQcAyCtF96ruOHb37/wmxJw14oMu//lfMPNVXwHAqd/+XeYfehSA2elpIulMHYofNx7BZ8t78ycpH1Uphe95A4CC6ytyz2OONoy+jx2S4p2MF999+pAoDPv+r2EljyFKygv7Yx4Yfcx/ieb6MSXA4/txIKOvz9H2oOwO/dh2X4Z9P0Bh8WL3Me2jxZ8NxkWXNjyXF8Q3y7b0PetkcxyUTtKb9Q6BnG+f7fC4Id06RZeOGFmOSVKg7vcIJbDQ7XU4IImi92w2k7cy7iTb6La5WdYBFcshI+9X2zCTTvSRPKNSBG/J6XnwA8IHdqMl4Q5URnK7lTL6zzQVUI3pjJr12kDJ9U4O5Jci6XkywpD7nHi/SvVnzEElTH0xTCe2UzwMm7M/BX8+te2Y+ETNCDYdo78J8IQKmBP/qdHo4sp+fhRySXShJXPjPdksFfHnFSFT4if5+QwVeYc/eekq8ev4pARogyjEER7B6ekZZs7pktEjkQmyTUPWoMUIvkh87b+urw/4DUbSWnz3Kx+VLo5kJCMZyUhGMpKRjGQkIxnJSEYykpGM5F+EfMYhugzDoJAr0Gm3WBUS4igFN1cqFYWPd0pD11PlFe1mK0F6dITMMNiWHYi79SiVIiCP+qVg/ZJHC1+iwpcvX8EWdJJlOwlhnRWjrXL5ZAzV6hhXruhsTBgEFKo6O9dN2nilo7R9uGE+X6Qj5XUx+WIQBAQCV7fMkCtNjUK4fXGO0yU9nn8U1FXRVHz2uv59PO+QE+SPC/QkGj0hWefVSpljd98FwMWPfIizAoP+um/6Zj789nfoa/rYg9T2LuptpFzxQL3BsUIVgDXP53MOHQKgVWuyKqVAeyVTs1Vw+Oj6kjwjGBvTiK5ms9GP2N4wCTGUlco29sseohR8NSmBUCni+ihM0FtRFA4coy9R/79UWWEf4cLOYL4ajL4Pj/bHx93WdS8hQu1v4knGznd9jQADqmPjnFjRZYW6o+ewsru+iWjIszpSrdLsad351XW9zx1zJf6NvBPLRshkfJQwhKKO9u+TcTV6ClOymMvdNsWevmfzIYx7er+y6XBVoOM9OVYmm6Erh80aMDavGyRsrq2zYGu9/ui6Rh4+MDPDE/mYHlPRFWi7bWcpl/Jsbq0PuZ/XQZRJLl9ISjSCFCJQo/T6H+OxkfrYJ//fCT02zHTDhGDw9yTDkSLN3dYJRku6DC6F3ElL+veB/eJDDSsl2q6v27JLCqJISnuUwbqrn/kt87NslPXxPiwIq8Mq4C0dfaxuRjHV1cdyDQNLYNFWPEbDpCUQfcfKgKkRitOeR0U2ORoqVuR5lCRrm4l0kw6AXD7HphBdZjodWoI2LHd1tmn9/AWeKAgi0vOTa9va2GB8fHzn/bvuEg3czr6ODEPppT+n0F1DVMVNQfAHMtbby6OHJRF3TR5uV/CXkBUdhrqIwhRqtk8+OphJ76POVl1tm/YXilwu6v3+n039HO+cLPANsn/dhkDsjWGYBNKxc0HKJl0rw5icY9pQ5MTmVfJ5Oq0aAEewOKkEYRD2iW3jLld7igWcOY3IMTYb2IJIdeRYm8Ang35pRfqah76P101SSBUY/JxqUjJgP1Rq24Hu0PS32SFpXTJTyLx0ynVn6SORAVE6877teFFERrLQfhBQFhL3QrGUUD205V7v3l0xLTHyxgBD6CqIWIuJcCcmWJG569G8Pu9iGDIvjYjrjiKIy06VwrL18Wbkvvb8EDL6uwwBBbmZRwODi0KCXTBtlKcPWBJ7E2ISStm0ZVoc+6w3ArDyyccpSUlOU0h8q17EpYFHEL8f0Q3XJcMwtf8remOYZvJZKaNPRk88pCih2wj8vh0lGkSOywHSO15zHDtkAE0zTN/TCKwhaAmVOmdyD9VO0xYfM7GdZn+fFEXBqsw9B0sFVqVE6N3r2hYcrub4cpkLuzmTklTg5QyDLblXR/KCRt/YIr9HNwGatxeZm9Cd0EsoLm08CcCj3//D3P7t3wxA9uUvA8DwQy7/xV8D0MznsAUZ4QHtg/v0MD/6cQACZfBsqitvXOkS+B6GaRIOJWG/HiIoqRRJeTiArIn97dQeYUzTYpIXgv1cocT6ukY2xmuwMOj76E42R0xM77puMu+FIWRl+6JQIWxubCbn1cT0MTJ/iK0cmDMHP/YBOzvnOcMw+t0h07cjjYSPu2dHPhuutk0HxyfxpDnKR0TX5o2QV4kN6RlhUoGUNwwygiAspZokePKxQ4QTr5/9MDG3X1Ea4/2NLaBfXX+rk6Uk97riBkkX7KIXsCzk5FYcVjBMTsWo2h3zTmpNdJ0l6dya8lcdqTZpt9uYhjHwuyFdGoGBksfhg3spKK+IQNZCgzawbyfDYIjNG/CZhq0jdxvTbjdxGF2JlZxiU+zS3mKBFZm7/n5Jzzv7ylneLPvVMwZzMtzQi8hl9HGr8q6uez43S+f0drdLJ/aruwZBR3++qVLhnPjVeYkTmBeXcKTTotHpUpAYA489SWDG5a/SkTgIOa5kfRo3aAJQBvsPHATgxMnnd7kPI0TXSEYykpGMZCQjGclIRjKSkYxkJCMZyUj+hchnHKLLsmymZuYIw4BL587LtyFxNiWKQqIkK9DPPhiGRPfDsB+1jaIEgWNKq2NPiLH1xn7S4tb3/aSO17SzybGVRNOV6mcQ8oV8QpCmCQ31eAoJcbEiL2iTfD5PVmqie90eLcnkjU9orona5laC4gijMPncbreTz44jnFpej1lByqz0AkJB46ys95jaoxFSX76ueUJWDRiXxz/tO3SFCPofXZe68HGdEeLJfKfH5TOn9HlNg7mFBQDO/uMHOXrsmB57o8Gt0zrDlJG2t684djPmus48Hmts0prVWe5CvUXhL/9Wn1A4ujqmwZhE3a3QoyEE+2EY3UjuQi3KJARm5uYBWL56JYmBW3Y2aVPb515IIwz6NdQD/BMJ2iBMiAl3vYwo9WuUiu6r9AZDEBbpTFGyrZFOZSTnjrnf/MCjKi2uT5w4QXVMI1LW19b650guQzEvz3Kl4+HLNdW6PjMVHYn/WeGSe1qB5ev99/g2Dxv6+V1VLgu+zjx5wrVkWSYZichvtrvYUvO/6rlYMX+ekWFeeMUudfSx6vU694V6DObB/ViSTXrP5gleLe9ATjIAH69tEG5s6ms3TZyMdGFQAdGu7Z0/XVGAQafd7nOxRxF9/hc1nF9p2HB2IGwG9Uul2p1r8txrZXrSJ9iuP8O22Y7sQOv5UAVO62Xqc5Ktj6cYn5mM/m4jMFGCrGp0I0qCyPpKqdc/byiKobaV02GGZyz9/m1FEbagmJRkoFaVz0ZL71ednKa4R7/D7Y0N/IJm6VpotpgSvTohtm3qta+kevwEAGXALOptn1hd5qjo0PGT+vdDi3spJn1IVEIGb9sO7VaaK/FGyaCChOmW19tRG1E0wCXYTzirnRxKA3ZjNwTpNt3ZMZxom17EWe+Uzm8bn/4hZdNU6rfkK7XNxsbb9LOU88LjtuRBKO9Yw4cZ+f57xvRYzhsRrtiN6cDijKOfrxdARfbrCCfEuO/RkdOutjuMid/gRwErc3pOVitr7BvX5M/PCTl0rl7nlTGautHG6lwA4Oz0JAeE/yR+f33LIp/MD9Y2FNONnOzkWQ3jitmOSAAGOLXCIHkOmlYwxeEGQlI9RFeAHcTe8Vi2j4EUCmmAz6t/T+JmPeVyhayguwLPZX1dI3SDAV6uYTYN+vldeY8dm6q80+s+hILuq7kRZeFU+vyWPu5FQrq+3nYqMDiX1cftWAZ2zGMiiPhmBAXJ6Hsdj4wg+teiEKGJ46aJCe7raPt2yhVu2Jlp9gvXZJjN4Tc1zOfhrM09m9qfijxBDGRz+EJwrjCJSNmGHQTq11Oi1Hwk81OQQiErpTkCt0kQbEdKQR9Zt4tsB1695G3Tc9Iw9PP2iTdGDg55D5XahuLpI1LiNUAU2XLUiGnhv111g8Sd2nIVZeHd+tpp/f8pNyQQfcx2I9plrRmhH5KLdVmqMCpHDtKWtcvMkZsTVEj+Va9k4tABAA54Pqf/SFdZZE5pn/3AD3wPnR//KQCCbAbvoN72/IVz7HvkcQDWPSG2L5XJiA5VKhM0pCkU0XYE8fUWJbap72PHUigWd86zUZ9sPvRcPEHFhSnuxoQ71yD5LvC9hCCcaKDNAZ4gTuL/s9kM3a62N7pZUxpNHA97N1/ypSGW9Fw+BHkTCS+xCpjOal1a70Ega7aaqxgXtOgXy7xz2Y1wxHatuy4TE9onvtTzKCZrV7m/oWJDULC9rkf8LpSUxamuvtc3F4rcktN+0RWxabXZGQ6vaL96rFKhJ8ibUysrZOTZxcedy9pUnZi7STHA73aD13SGMgYqsDx5l5TqV0vlpWFMNpdL9Mu0LIxYfzwvNdBh6Ki0DEdeRQnCVeHIvQjDgKGFP6RsY/L9MBQ07LJo2PY53jeebXwmJdaw4fqJf9V0oZrXevWlCxrtebnu0RBbXQgNTknDg9AxEUBX0gxmStnUm/o9ObtVT3i55nyLlpxjplQiL8c7Lvzlrb3z7K1UAQhQeGt6Dn/Q73KLEN3XRZdKuVzSOM1QRorvLGJFfPpryWdcoCsMQ5rNJo3aJqGQzirMFOLVTBaTamC/vgPk9aQLkuenCLeHOV5SeiTfxKUUhqEI5YTxuYIgoiGweYWiKiUtYYPEGFaFJLI6NpZ0vjt79kzSESKXyyWdPnpiYIulEk0J+hD0x6VfoBiCq7e9bXKC792rHfDVjsuPndalnT9UztAWgt3bhBy1bUIx7p6QNbggRKkLgc0pWTT3OtqpOlWvc/ukhkxPdlzOPvMMAKWZWQ7O6OBWa+8Ce6SU7K2veEAPcnkFhPCv0GnhnNfOv3HyEYgJ5qVMYKHpkhGiaGO9hykkwYePHiUvJK3r6ytcb1FK4dgWyjAFqgzKMBMDpUkMY2Ol/zdNJ3lOykjD9dOa05/o+n7XLpNieseBhecw2b6wlE13WUCaslCbllKaIAyp17WeTk5NkZEg0/p6iuBPxnlzucrbjmlY6KX1Ov/1koaEv+3AApMSAFvsaB2q9zpMi0N2pdPC9mQR0u4larsh72uOiEkpTXv1+BQnZDwTGFg1MYKVIlOy34QYw41Gnbqpx+teucIFacjwecUxbIEKt0Xf6ksr5OMuaRmHlpCJv/yBV/L8c0/foOBp/E6qbbB7+XXYSQfWmmoXSPO2U8Cg07C9VDBpvDFMh7YtboeVjSWLzW2Lg1TX0f7xd9PTeCqSEo1inm9c1Dq40fX4zRX93n9dNqCAtgXz4pi2HMWeQkzg29MliYC1EdCO4dRyXFdZVKRsrdjtUhA4/5jlcHVrC4COgqrAtDMtbUuzlkVGSiVXQ5/yrLZj966uEwnhKzFZ69YWzVA7AJZp4Um3qygMadRfvOPLP1/S9zelTwNd83bq1OB6ZLdF3Xbnc7uTNGyBOOxQaX1K/TigV0Oc/tT8NXDAZL6NEkd1oFpGbPCxUonv3quf2XObDX5rTc+B3zuRJyvH2yNzdNsPKEnQfDPr0/Kl/L8d0pAWeatK7IcR4TTjsjKLsszNGS/ktJDNGzNTFNtafw+IDvlLy3QkmN6cmyaU+T3f7GAJHQESpKiiMGU+NnNFQplnoxteuhhtswnbbUj8nIY0PBkoXR4SmFAWij45fL/7YWoTZUgHTRJqAKXSgdto0OZco3SkXq9Tb8SL31RQTKX1b9j+xg77tj+b4Zv3aV1aa7v80hX97L6hbFCV51+W5103FGVJJgYqpCnlQcoL8FQc9NL3bxyL2ba2Fdlcjpzb7/z5nFBl+LksCxVtWzIbWu/qYcDyug6grmcdPLk/b1it40tw76a6UFt0A6ZlDo8MB8I4KXeDV5IolGkmZVf9r9NB6R0f/tnnGgiGb/tp2Ob906ZsT3xPBgK9Q0poh413R+13rLNmPyAvXVcPFQt8z1GdDD5X7/Krl7R/852LJcqyOKzE5N8GFHNaxzYJOB+XzfdCOhJc8Bva71r4rDdQOHxT/xpm9HzK2gYTn/3ZANQ+9FGU+NbBFaECuXyFxqRuxnK13WRcfLdbjAwt6bZeyOg5z/M88nKp9WabMCFmjwbv5w2TnfON57pJyWu/sY9KKE3CMALxc7u9XlKalnRAj6KkXNF2MnSF8kVta+xiSjI4btAS9Lop/Y4YSEIPrWN9qYGc9P5puxulEgj6vPtLRb7pgH7OK22X37wotmnGYkroFgptrUs9I2Je/B838kAIxp0e+NLBc13WwTUfprv6HLOZLC0JnPueT02CQqd6Xcbk/fClCUJrdZXA1rpyJesQSED3SGWcdelWGMr7tR+DnB9fsWKg0+6woOF1E4NIqVRXV5XMMWGqK31WEmJbm5vJd4o4wCWjTpI7uw10+Hy6/fKiqK9XKJXSnvRxr53kGaQSScswHy4drNcP4VC5xLcc1ongKy2XXz+jA0TfdGCcMQmm2qIfYS7iyLg0Bmt3CYVSxm/79GRSb8i2bc+n2tT3rGKaVMT+VEODTfG3O5kMWVkIzotNqbk9VmXNXVjcg3tZUzjdV6iQEZoHCQPQDUPKEgewswXcXkuuWCWN/64lo9LFkYxkJCMZyUhGMpKRjGQkIxnJSEYykpH8i5DPQERXQLvd7EfrkajoQLnWYPR1e+Q+2S/sE5b2y8sG943huooUCXAQJMHSmGDeD0JMiRtaGYvNjT7ZdUkyKJcuXgJ06/QNiWRaloUrpTKWRUL+GJdzoaAoKJV2uyVkyPqHOCLtSTR+dnKeo5be9pfWzvFPB4WsO6eSTNKyZBtvdRzaErlf9CPm23rsHzc9DsaErxLYLmZgY0lHW00FVbnXjUaD5556EoAH/s3XU5jXWSw+qb9bataY3a8RQRw+hC2lRLxwBl7/GgC6H/oIAI5t8t2CDvvVZo2aZAfanTZf9EVfCMBjn3iEGyFRpNu/xuWk9brPmCDy1lZXkyxLnN0J8FI6FiWEg0OD/jsg78kPg38Py1gOQ3elWj4PxqlT55DfC4UCvZiEu6yzxvv27WVrU+ve2XPnuXThvOymksPGGTGcIi9v6S//86U1PvqFbwZgfGGK3PkzADzpaN2bnJ7njJD1dzbXGdvQWbMTZsSmZFNu6mjdPuWEKMlG1QkwszEcO6As71PbhC257oLc93oYEcQozq0OmYI+RjUCJW3lF2saHXHFMniDXM/HX/8m3v3n7wTgmaefTLKD11sMZZDLZvE8r595TJc5DMv+7CDEHfY5zjYpojgrvVtSEZJmA0Nh0dvHsQP1tdtYUqUwhrlzkzSRrDJIGoDIeA0zy8F1jbr5X1stfmFeEFJFm7zYpvO+1pkZJ8OJUG+74AW8uq2P+5GsBWL3J6QrwbLjMrl3LwCzi3sJ13T2228ZjMsz6O5bYOXMOQCmSvq8/to6G2JjrGyG5Rd0meItXQ9/YgyAQMqhfAVfLmP88dS9830ft3EjEV2kzMQQxB7sePYqlekO/H65RSS/QT87uUM90vZmGBpwN7TpUD2Uc4QpFNEOJNi2/ZQiKWOK/ITQFcPaYVxVaFFZ0u/6X2xu8JOzGrEwU3GSErGLUo6zp5BlRZAuTtvlqGSyn7MCQrHtt7s6C3nBDsnL/p28QyDz8blWN8F8ZKMAVxAdCzJPXF5fp53R20bHDrMh89r9Zp5QEDsxysmyDb4DPdf8YjHLxlWd9dTE5jcYMRFtR3UNeXhDyof0dmmbJvuFqYYGqf37SC7FlLxPvh/gyfvbarVThx1SYqcMdujZ9nsztBRyNxRYbPONHbqEcji0qXXll1fX+PX92g+Jciam2LSr4nct5h2WRZf2ehGzHT2G81kTX0qIDEFmXcwFzAqRtGEpfEGd4LkcEb1as01qQkZ/VFA1D42Psyzokny5TP2qRhLmJ8ZZF79yU9Dv3XqdLxAage+Gvl+iX/gh9+J6SSTVENt0aWhZ4G4own+ObJsvX+xw1wQIRuxonJB83vZepNFMymCgkUEyJ+t9/NCmsKznhT9b3+S3j2h9sgo2jpxutaXfm/2VLBvSBMjqeNwpSPfzWUVJqBnyUsb/D7/5q3zhT/2CPkC9AU9oP5v5PfD61wJQmZqkcvQwAI3Hn9C/HzzA9L/9OgA2/vjtnH3oYQBuv7JGT2zd5C26UdTSCyf4Rpk//vPA6y/o4ujG6tQOZKZ8myCrxJc0LQdTqGBC3ycnaI9MJpOsvZJSscBnZlqjora2aphW3z9KlpFRREcaFg0iEdM3wWfbBgy1nwP2ZsgmOygD0tccf5bqIZVlcl2P65dWNvmFY/o6vKxJTxCijbr4SpUcW7JoO4BBaUuP90LOSu7fTXK95+yAjaa2eb5jYgv6y++FGDE9jgJLSvoPim1yDhykvabXD47n4cvzqAYhFVmzzop/sh6FfKdQRvzXNBIdGERQXm8JMQ0nWcsbSqUoisykGmtjQ6NmNVhRfxeEIU4m1ptQKnp2+k5a0rYo9eyI6KOz+mNKI/eigW23K8j20un0OaIh40nvl0YKxiLvSWhRXNdIqD9f3eSX79LornzOIiOUEJs1PXftGctRl6olo+2yv62f85WsIhKfaUbu41krpBRfZc6mJ75yfXKWKLgMQG/fQkIls8/WevL4xjqW0EG0tmq4ojeu52FKDKIs99s0FT+U1/GD/9xz+z7DS0TAjxBdIxnJSEYykpGMZCQjGclIRjKSkYxkJCP5FyGfcYiuKIxwOx2cXJ6coaP4jfomA6gHiRbHZGlKGX1OJXay2+gPwudDmOLX6Ytp2Qmht+t5ggYjaWWayxUwJWLt+t2BfWPSxKy0ZTVNu//ZMIjQkXXLNOhKLXRMmJfJZDURIpAvFAE3uaZCTiPF3nB0PwBvK1X5D1c0L5c3VWFNItNzgYvZ0PstjWnE11yzR1Wi+zll0hJ0171OJiEM/YhkGpv5HH7cirbtsm9MZ2iP3X0Xex54OQCV+XlY1WgKxioAtM6dhZcJX1e9AWX9Pf/xu+GFkwBsCtnr3IMfh5rmMjgxt5/7yzp6W6qUWV17cbK5f65EUYQf+AQRdDo6wm8Qsrai+Q2UMlAxqaHwm0VhmIqohyRk41GUaier7+EgX85LyIbtxqsUpSPYcZQ75kEZzI7Eet9qt5mQpgara/ra6vU6E4JCaLdaA3Xssdq/ckwT4b771tt4+ccf1dsWizy7rDPLn58xKQtFyKrwZPm9Lr24VtpzyUtN94xtUOjpc5SEwyIKQzZF57Mtj4JwUZQiRVdqxcfciHOOvhc9W5Bd9RBD6ue9XIb9QjDdDXx8ITLkjpsBKF+6jC1cDL//yeeYkKs0TJO3fv4X8nd/+5dD7vOnJ1EU4bo9QZvuzEwOTz9HfcTgwHPcxt0gXw0gT4clz3c7za5Z9e0HuVaWKh5POOT39CFDDLGF9wiK8+eyWb5TiOnN+Tyrln6Oh/2IknAXeIKIyfoh++SdyhFiiS5ZZsSMoCZ6gtbygojMnOYl9Loue8f0k74cKuxjRwF41R13snxVI1KfPv4sAK1Ol5d9rkYoXnnuBewlbTfXnQ6OIGU7C5qX0FlawZds71O33sHdzz6hz+f3SVxvjETy7NMIvO3bDGYDI/rcJOnW1hFDgCxq+3cpHRiqW7tda/x9Cm26W8Yt2vGB4bqpQIh10+/QKwp6DvnfY2O8ZUnb6KZToOPE/Coe0aZ+VpuCFDU7PUpiuyvKoCC6UzIVWQEkZSUzvaF8csKZc6AbcF64u8qehyvXNLNaY0NQNFdkPm7efQe3HjoCgLUwz4mPfgyAh8Mu8xWN6Mgu6P+nnz5BVq5pKbTJC7on8L0biJiIM+ov9gxf5BiJbEfIp7LYqe3Gxypsbm7pbxVJNjgbo98i6Pq9Hfv1j7n9/C+GpkhLGlWR2lbu8d0F7Qv9TKnIN2/oMXbHq5yX9+cmT5GXBhmhjNfyIsqyf840yMu22SCiIvPRkujXkhviCddgoeViCerEVHBZENbTmNhiT98j7dNXl67w1i/+EgDcpWUcQVAsd7sYglx+Qebd22oKX5AJx+9/Gbc+8uEh9+dGyXb0wG4w4+sxjng+jXZ/3C8qQ/RJDdPpYTxj6TGk7WP/mu8RffrpqSrfKvrUzha4JPpyzIvIyVxnF7W9snsBGeGmNBTkxSfPBzAuw+nl9Xx0IYDj7/87AG75yq/h2b/4KwBu/bxZ6Mia47HH+dBv/xYArvjhr794L/bddwGQ/eBHKIkeBrUtbGkQtSSccRnDoCeXvza3wNQVjdw3LQMwkuqR6y8xUkX+iiJi4H0Q+GSFC7Et1xkEATMy79e2ajSFHzn089hCNj8tvJuXL16gLVxBmlx+mH8zDFWaniDTuj1Mn9MonG1IwR1qlzruDn9fX/QtOf2Mfnw8x/eu6rH38nlWZLdDkZFwc6mqNFpy/QQxGIYhhYRMHMYFsdOW5+epkHxJ31PV9EDQcS3Pw5S5tBQpEPvlLepqncXb76D8mEYSNlstukIE3nXyCRKqLc9in5OjEz/DuQOYV0+nbwI3TvQ8kYl559xe4rPaToZAeBVjXjfLtmkLV53e3k2OEsvQJlLXkBfnAN7pgye8lun1wy7GbudagZ3To4R3bi9q/XjbdJXvuarXSXVlcaGr78PtpsISztDsmPC++RGBcN8GYZgQyWdDRU4WtXGcwLAiOiX97CtNl6iq7dXk4iK1qo4V5IhYFyL85rx+b6cPHeDooq7GWDp7Dk/4LEsdn+5B/f2WxCUmXzgDK1rXvCO3Yp94Qq459Tyucc8/8wJdRPiBh3J7dD0v9UtqASiSFVLhIAiTkj/bsZOgVxT1t44bcRjK2EYILUdXBh0JQmky+sFgmuu6zAkZe7FY4NwZHcjp9Vx6ErS67fY7AN1F5JGHHokPnHSPW9y7lxMvvJC6Gt3twxYiXdfzCcVgBW6Xuuj6j0swoxLBd920CMD82jrjoqjLfsR+uf52S08Up4yQA6ZWzkuhzxG5lY+6Ls9LOcKU/J6xHbJZvX+lF1CUidLteaxeuAhAI5tlWjqXuUKkeuitbwXZlvFxWJjs31BdKURPtiX0QRYKXLjAmbNnAXjTmz6bv37n9Q9KpCWKNKXo4FTXDy6MSROBuLMT6U5iUdBvfmD0IcJW3GEzDK7RrSYNwU/DT+U3eYkNQ8WIbbFlRv8PoFgs0RPd9H2Pael+ubKyzG233QrAo49+AoB2E6bFWdYGPTaSBoYsQv7wvnv0CPJ5fum+WwBwOy5V0dOlZpuSEIQXpLOnUy2TkwnkZDvgVfJuXrIVHQlmLrcl2BoFLOa00duTy3MxkMWEaZCVoOL5rIknC4a8dPTIGSYnJcC8N4Saqxe0tWyGnEBgF+XuWRs1xm7W+uS0exxEw/nDKOS1r3oFH/3Q+7jeogyDXKEkTtduE9WQ73ebFbcFCXa34/1y7Wh7YORFZZfA6o6f0k5f3+FLyDrTs6wyki54PyMkuD1D8a0yAXqNDhlR6Cu9iFticnAhee5Zirg50LKKuEcaZYzlDLbktZqU4NeqY+JJs4656XmU6OjtE5NkX66D8OtnTuGK81aQcS3ccQdjX/j5ADQ6Xa4s60BXfc8sBdHBWekIm/UCmuKEtHq9JMhtKIYmRa6fpEsZdtnkmuTMiows0Hs9rz83pmHvKmVvdg3Ovpg+9Z978jku09p1fLsESRPbll6E9rf7zWkdpHczNt91UDtMxSAiJ6ylXhDSkzluXOlEUDHrJPpSiwJmRZ9yNlhyf/Idmd+USU/OVzAMDClRNJRBJSNdjPMOPV/bsq5T1SOMIh5sagc//08nWZayyYsZh0BKk+6TMnKyGWzRMXrdhLpAl/zeKH2KtLOf6tZ6DaV6kWMNC0wag3ojc2Kv18OWMoRut5uQ0ftx5+sdtbc7g2XDzz3E0d9t2x1dO/X3/22qqsdiWfzATbqMw292yMixV1yfMXlkeVnEBZaiJAHkdUJukiTOkmPiSvfDg+J3hnbIhti5Q4ZFW+ZEU5lMSBCimbHYlDJOe0IH1o86WVbEr4qefZ5QnNOLk1Us6Yi2V4Iny45JpqgDLCXbZqDsNLpRQYlYYtuQ0qdketux6hry9/bj7CbbjjXQcGDItgNT7IvocjL09DmiIXYrXRZkbLNjWh9+el7PdVbG4j9O6WfpNdpU5JGseD4lKbm3406NlsIU/7CNwas8rU+1vIkptmlWOsKd8dqsClUIt9/Lrf/phwBovPf91P7n/wTg0vIVrq7qpk1lKRu7fP48+++9V482DIkkuPWwbXC4oefOPXmtQ+TzbEkQ1m+1MK4IACAC3+9tW2BfT1EQhaT7IMbroijStC16MyPemiuXdFmUaRpJ0lcZBsdu0T7vmTMSpDNNGnKdplKpnl7bnznJ9qDXjQPjGxiuSnbb9oGdpWfbJOpfB8rp61rUt6E/Mqufh1PI8H0TErBpdSjJtLrqe8x6epwtQ4jWDZJazLapmJQS/StZk0gSyBWJ8RSikIJEEgtmiC1JoXZPMSb2rZMx6YmdVtL5denkKZZmdSJ8Mbef5kcfBOC5PTOUhUz8YBCvhwzyE3q+plbrU/9E4Yu+lp+uBEFATsAkmYxDTwLMvucnpau2rN31b+I/h1FCbRIMiQMMJnS2261h82rK50r/PKTEu9/FNq0/w+1i7IPq7rZ9XVRxcjCKknf1bXu0XcrkbL6zouc503Wp5GQOCXz2il3Kil56jkFOLnPDVIxLif5qxqYt3T7HZO5bIcARnSnYNmUJjm4sLVMUwMrc3XfRvqjntNYFrSdHXnEbStaa7SeewZTA9NOVEtV6DYD5Mxfl5iiQxgfdOFAJL1mPRqWLIxnJSEYykpGMZCQjGclIRjKSkYxkJCP5FyE3DNGllPpd4POBlSiKbhvy+9cAP4QOWTaAb4ui6MmXenzf9YhIR1zjaKhJHL9rSqY/HRWNorBP1puCCCbRVMOgKBkyTXzfkvFCRiLEURQRSZbWtiUq3O1y6eI5AErFEr5A7gqFIm0pe3nyyaflu0KSXbdMKyklazSajE/qbEtNCMMt28GTLE8QQHZBY1Z+cXaGNwkC4oKM/UIpw6IQtvmbbTq+Rktt+gETlmQkJRrayppJK+P7uwbM6Ujv/b02C55GBz0uWWmr1WVTshxHDh9kLKsz5RnTIOpK5vqpp2nJsY8J7J7Dh2BZyhn/8i/hu/598hwQCO2CENCfnZ7kgGSg8Dw+WHodAD+wuZmg5uKE+PUXRSabwxd4czqZZxrQTpB8MbTUQxlxtilKPjtOBrent/WSjDWDGUj5mCuUUuSX/cyAMmK0RT/bFKbIenWprOivlJY2av0SKtM0uXxZNz2oVCpkBA0YE8w3mk0e/+QTcj02ytTP8idvOsg3H9GlXoGU6J5qrrEqKIVXqTySIKLZauNKu3V3XGemG0GPsYOa0PTes1do2TpqP28Y2PJcL6JLG/cYFpvy/B3bx5EMy7iV6bfgDcGTzEpTMggzrTYHDT02z+8jHdvdHoWLuqySNZ0JUKZBQdCEl+oNftLX9/KbNlawLPOG8PRGUYTb62IYxjYUXzrFPKx8IvXzANJr2+76JDu/jNI41u3H+1RFbfucyngmaAFpumHbzMwIEgKLrrynPxq0eY1cfyjZvdZEgQX5PNUKeF7SRa0wwI2h0NJSO5fN0pDvqg2fNSkfuwObpwX90kjatAdceU7DQ9efP82db/1cAPZ8wRfROH8OgMcef4Kupa+rtKhRt13Hwf+bvwdgdnEfS8ef19eRzxCd1++PK5n0oFomKxnhfJDhN47o8thvPP4Eu2XcrpvEZQ5DSZ77f8aIZKWMRLd9P6ArRtM0DIJw+zGGIBd2DiD1ebcs424ZziGbpq9Dbd+oj2IFCyVo0Z9amOTrDf2uK9HBFwoGt/v6uzu3PP460Ha3HUa0JOG3RxARTVuxJtde3HLxRM/2BSYXOlqfQrHhkwoaMp7njAgriu2qDeJv1MKIVUePrTBRBeDmV76a7MlzAHzo7CPkpGS3EwU0ljXkfuWAlOMf3kv1grZXUS7Hu2f3AfB5V04PZn6vtwygVtj2eYge73icKcRfMiddGwXYarUGt4n62X7QRMFJKckAym8YIij9XQpVM0Cwn0KEyVyh7GxCbvv9FYPPimKqAb2lW3VYkMsptwNO52XsYYQnzz8QT9l1DK7K3LXYCmjIi1fxQjalBO2SIOnLls2yfP5HQj5fyq/CnEk+r+ddOi38ip5D9y9o2+T2AvKnNKI9t3cvNWmwUhwrEz39HADWjEZVBM0mtbKe52a6Pd7xgCYl/6qHP8KNJXzeRXaQNe/YoP/fjvd/14MO/3rouxJt+y49GV5jYozo65Ay6VMExN9Z/flPqeRIP7K/yudKSX4oxN3euMNRQVlUagYnZGMXldhpN0agmoqWlFUf6UBX/Ox5NyLao1Fhq+J/HrMN6AiS9NwZLr5PlzE21zbpuNoXXFldphOXtb72lQBMTs9w4qd/FoADb3w9J6XU9eVvfB3nf/cPAZgR+ggmJ8kL5UO31eaPb7odgK86/tgNnekMhUaBp2ga4jJJ01A4cYOsIKa/CPqzThSRFcSl73mcPX0KgI6UozmZDK6sdYIopG+PUv6YMhLblCB5lJFSldR+Q+fNNGZkux1j8LNSCaLLyZcwp6sAfLvp8RbRsZ5sGlZsJoV0fiJQrMQ+se/TkHFagmYLLIOOjGuq4dGRbcd6EaHMeVdkn8OFDHEbHXvcQcm9Hstk2JB7ZUQKW+Y5V6oyxuZnaV7ViMG7f/AHKMRIukKeiqwLjQvafyKbg61NuZCIv5jfD8CXXDrNjYZ0RVHI1qZee5qWgy2IfsM0E4L5Xrcr20ZJU7kgCFKPdhtatX/0YWfcZSRp5F/K9u023+44Vn87ZSgce/A9AIWS77L5Am1BEP/gTJbXi13yZO6yxxxult0yKy5Xxd55hsIQWhlf7FJogCv2rNgOaEmJRcnT1U+g50eAcdukG/ucZZvqQe3POMrBM7UP9sgH/4mSVPEEgmauHj3CqT94OwCVu++gdlJKW32PaEsQmPF1GiZUdFzGtAz+7OV6nvuKRz6y8z4OkRtZuvi/gV8B/mCX388Cr4uiaFMp9RbgN4GXv9SDRwSpyWi77PCuk0+e5yUlWmD0S2+kS1ilUmVagi+nTz7fpxwJAiwJFimliKSTgSdw9EKhQEM6cHV7veS45UqZZmsw4NZqd5iWkh7bsVkWRziXyycGeXpGT3K+71MuaijxdxULHBjTSv0zkzZ3nJe6fOGSIQoZu6IdaNMwcJQEt1TAmDjyZeGROJ3Jc8HXE+L9d90CT+vJgbbPcVucfzGO1UjR7elzXWrW2ZRSyTfdfTclCfRx4gSXhItj4vwFACbvvRdi/o3vSAW5AG7XsU9LnLy9ly6wKgGaqW/9Ju5457sAeMX/8+d8IA4I3SBRKqLVrDPMwAQB+J04+NKHTCbdN1IdPXvdduoYsY6FDFsIdjvdpIOM/jaGzpLadnAs+qPV3yjdxSSepEPF+PgYALNz85yUSd+S4BVRmHz+qde9Bk5paOhPXt7gOxb0dT53VT+/qNbk1lldHrRsWhSllGuPY9E19L2YX9VO+OWizZNPPw7AEZVlSjy6vW2fT4qKdCRgFXVdilWBYzsWhiwQmmFEWBCjrRTuki4VtaXsVqGoiB63DcWaTFhNFVGSgJt14CAA/oEFHpfuQsb6JosVvcj8om6J17zy5RSlbv16ilK6lDkMAsIhE6RhGElJa8wDoJumXBumPPz3lON+rfUrMOikpZ2w3WSXhUCqnBcgl82QEQfoK+2QcXGifjHM8cZQO5kb4/p55labdLN627OOIiulZBNK4ckkmnG1HpRLJq6UOBkZkz1S2RV2fLycfI47A3U8XAlodAxYOqmDXvtOvoApz/h1X/alHH/o4wBsyQK7NDWFJYHZrUc/wcL9GkK93G3jCddcRoz/yZxDJiddYAyT+0z9/dfMLPLHyxdf5F5+OhLJe51+XmFqMdBf6MWlorZp9Dm6UsGHYCjvQzoomu4K1HfEd2w/bIzXDJiklDOif9zdAmzy9Q8dXaQoHCQ/cXWLL53Vc053Qj+Hxa02l8WuPGFGHFLaiYqMCE+ctgeXtKN769w4NSk1NG0DW4KethtSz+kT+uLUlXyoiam8EPkY4syVw4hVsdeLVo5cXs/JPZkSXnj4EXyhI8j4AcUJPb/f/frXsFjStqn1CW0fl4p5VE4c760aN4sD+K+nF/jTlcvD78v1kKRUdZixGPJsFbsHJod1ZhwoKRtmQ6Lk+UdyLwNgsFwxbdOGBE2HqY1iyA8hSEn8tx6aZVoWyr+ds3njlS0AOlV93zNrrcQ2XXQUmdg2oXBlziqKbfItg7y8/37GREkScqYXsCF1RTmZ+zY6PW6raud8IwxZEb3LBiG9mFOokKchi8x9YzrhmS1Xmc3q+aq3vMLUzTcBcMUxuSyduzelDKR30zG2TmqaDDOT5b7D2qb9q/kDvP3yC0Nu1vWW7QGkF1sQiqjkn5couwSprhG72vnD9o0iBgMUfT2MUgH3ZNtIT0Tfc2yBYks/s587v8Fn7dW2qSf65Cw16RW13lzNKAqiT46CTk5/X5Hvtsz+u7CiQnISTM934HxNaD2EE3f66DH23n8fAM888gibz+mgp+dDR/TJK5d44w/oksaxKZ00z+bzHJVgiffE01TFj7W+41s5dM/d+hw/+8sAPNjYYMrSAYujvs9XSLDoY+OL/NLGJW6EGIYSLmKX+Bn5fpB0dw4CnyjufiffmUolPkAul0/8qUI+z8SUDgKvCmew6/YwJTEW+Cm6DkjZtyFB4V2TQAaGOTiP6WT0sAKpdBA+3XVQf/dt+yqU5ftfxeSNkpjyJyUQvtIiU5AkdVaRE3szh4EnycKifOcbKllTeI6JJ8+82gu4XNLny8ga9sJmk/KE9o/agCljb0UhGSlzbAMtGactHRXXOl3e+sVfBMBj//PnmXj5/QDs//ffzPL3/aC+MtHX59eWMYWvemGzzmuljO2rpvbwjtUbo0t9UUmyOeh1E/0wjP6zj9+7QqlMW5KapmURxjwxn1IJ/0uxZel14EuXWOeVUrhx+bsZxyIMQnmfv2EuR0EiTr9wscYr92q/A1lrhUtNgrI+Vj1nUJDkvwW0ZP4bk+96NnTjLoi2QVfmv1LHp14UOydBrLDRJSjEAVGTTYl3VCbmyEkZ9IFSgQuXNKfqwpReU145cZKxksyP5y+RKWidP/hZr+PiH+sAWEee29VSgbZwfO2pNXm18Oh+84Gb+K2zz7/oPbxhga4oij6slNp/jd8/lvrzYWDhRo1lJCMZyUhGMpKRjGQkIxnJSEYykpGMZCT/8uX/L2T0/w5476e6U4pKPvlOAaWqjmTGcMVep0Oz0ejvmMpW98kVdaSz0Wgk3RUjUtBoBV5XkEVKYUqnpBgG2Wx6yaae55LP9xEjMVFi3KXAsqyEHG9lZUW6KWrEx9FjOnu3KSTtQQSvntMIs8lShr1CAHePVeaj+3Tk+WvP6SzwU9NjdKSbS+bqBjNdPba6odgq6O+PybVvWDYtuYanV1e4fVJIA8NVwqZG6SiJiOfyDnNjVT3e2iY8qzNJT1y4jCWlRDXH4rSUIByOs0QPfhTe/AaGyqTcn0l9vWa1zJSQ+bNvFn7r9/WxXv9q5s5rVNLly2eHH+vTlCgMGSACToMQBogT+/oWoyWcTDbRId9z+40DYlhsaluU2eedDGNiYFDslg0aVsYRMUggHW+iki1j4k3DWGZNui3G5bookwfkWe6NXBzpwnm46/O9Z88B8N8lc/lJB2o9rQuObzFX0/of5nMYPf05J9c+ZmS584h+lt76Ju1N6RRjqoTg0BL9MA2TunT5GCMgI6UkGcMkJ9D8zV4PS96XGA9pR1CX85VNByXoL7NWpyOlwk+c0FnsyuYGBUGKNVCU4k6TnYBbbr+LIBjsjHo9JAxDOq0mGGnUhJH6PeoTTw/IsMxQGhUxJGP+KdURvBQUVyzbs/LpIUhGMopLCiwOSTbp1vEy1pq+p4fyBr8j5LZfXdd6slHJUXf0vfA3W0xKFlJZBlFB26GMPO+coYjkc2QqrqoY8efiCRx7XEpDPGXSlYwXE+O88VWvACCoNfGuaoL50+cvJOWRxb06n3Lx+HE2HtaIv32Hj9I6rW3LXd/wNRxf3wLgwoK+tszSCv66Rjm2TAtb3rVWNj/8Xl1PScqdUyUWQzqFmZKp9H0vKe+D1KZKEYUpG8LOj4Pqdi14/m6Q/mHbpmRAzRXJu5FCqL5uRiOhXj1Xxb+i5+x9GYcflMzed9W0NbictVmN+e57bcqScXQyToIcLUVarwqmiZJzmVaEK11cnTBkRsrRr8p87CiDQAZ6zDSTHHwQBczIPX50aRkjL1lLQQrtmd/DZZlPD8zOc8teDd9/4tQZVuTYl6UM/O7AZ7W2BUC1VCInZOSbAxn/GyGxTYkfRLjttyFovASllZ4Ht5XxAMM7HKL1N3m+acRWfK0qNY5ocL/t5T8D321DEcboL7EVRAYvm9I2/+7pIqqm9edw3uId82KbtjRaxS3n6IoudYMOY904k21i5LXfZEmm2zEN8LX9q0cBm4IENKKASOaxKQEEVKwMFwUNfmcmS1HKZD0igpLOsnc7XUoy5IaUbozfey9r584BunPVmlANVL/5G2gt6bKh6O47AWh//DEMeTc2M1lmNrWOZSbHKTU0sqJW3+DGSPw8dkMcb7cB6XloN3je9u13O9Zum34qx03vF9En7w9J5jrlJ8d9YFqvK+6bLeOu6Hf2cD7Lrwsi7ztb+vlG1SIrQhBO1GWqox/wpoqojGnUQjbucmZEePK+mLZJlNXn9ULwZB0yJrDR9Ucf48QndFOhhVc8wLH7dQHMwuvfwPJHNCn4U6dP88SfajTEnf/6qwEov+qVLF3VlR6zxSIT0mH48sMPs+dbv0WP8xv+NQA3vffvWbtwHoDenj1kzurPl3N5crkCnW7sjV0/iaJI04EQYcQdzsOwbzcMI0GPxGXOvh8mtDG+5yYNxDY317CkDDOmBtFVMulS69hGsO37bbZpRzOHvu8V7kBNb7NHA6Z02/GUyZ2TWpf2jOfIN/Q1HSrC231tF76yoe1GVMrRs+PDdql2xC/K2uTzGuES69JW6CUIZM+AjiBPC4FKKCTmZCxGNktDUIUZ28CWdeVMNktN/PWTjTp5sVOLQpmzeOgA//T2d+ix33wrzQ99FIAVx6EwrZGN7n16/df94z+lLfXhpX2LhFc1oqdlGC/+in7aopKqG5WadyIUlszThillsFGUVGA5mVxSXdNuNRJ9jMc7nKD++o89vd6LG5zZmQy+rGniuAMY3D+j7fzLFieoi890uJjh96Tpzrc3pXqknKcpney9qE1J7JJyDDLS2TXWA9eIQHTGMBWhVF2oEDyZ/xwpuTYMhS3zoxn5OF1p4FOr0buk7c5qp0N5/34Arp7QCORjr5ri0kMPAXDw6FE2pWpsa3WN3qRGZZ6Ubp/OuQt4axqh2bQcDKkuWjVtHInzdHvD1lZa/o8HupRSb0AHul59jW3+PfDvd/t9JCP5VGSkTyO5XjLSpZFcTxnp00iul4x0aSTXU0b6NJLrJWldUoNRoZGM5FOSkV0ayYvJ/9FAl1LqDuC3gbdEUbS+23ZRFP0mmsMLpVSkh+2TlZrNbreLKZnZIAypbwkKRaKxuWKRyRldF9qobSVtRbO5LJvCK1USHqypmSnOJW1prSQLXiqVOXzkCAAvPP98QvIbR40jwLaFJyT0EwLxq1eXEsSPaemo6djYGC3J4n72Wz6PrtTBnz93nmXhFXn9vB7vV+ZzTAjPVXa5xYZkIJZugo7U6z67qiOo+9c3aKHHlVcGW2UduX5uIs9r1qV2W3gibmv02CPoo7FexPPo8VysLaNK+l7kBa2x1G7gujqTEwQBdeGPyJdLKCHof+zZp3Dk81+/528B+I49e2BdZxiZkPbFu8nBeVjRmSbe8dcwpbMDH1hb5eu/9msA+B8//RPXPsZLlB36lLT61femVCrTEM6DQaTVzox7r9tJ6vUz+SJye5OMT+B7CZfANflRdrRtTmXT47+TfSSLHJPjp7nDUPiCGlpbXcFQWgdeOa75Gr5uvMI+qccuLm2wKGjD5uIEl47qLNNFQebcvt5jU2rzO+0G+Ywew2OtVe4TZM3fC/rPcju8ui16utHiOUHpTGSLzMr9eS7Qr3jXzGIKumcrCJgRNMZGu44ryKyG7ydkwTGCpmEZlOSdPmVEfEh4nF55aA7zgj52TzIP9uI8Jz7wjwBcDTwWn9dje9RyMEyLMLw+zlValwzDjJxsHt/zErsQRlE/s0QE4bZUlmGluCBeeiZaKRJC6EiZw4E1/6ys2SAaI850GYZBIBmce6RhxpfPTrIg3IYr59dYlLbCJ0KLuSP68wtnhHOwEVCWQ/uWRUaykWulDLNbWt/C2C57JCTAE92Qp4UzyQwMOpJlckWnagZYUq9ftkxO17UtrbfXWRBuGw/oSHMPta71pLKwSF6yQmc+8lEyYm9azzzNLcKD8uAH3g/AxsUL/YYYGYeCIL4+1mlyvQmfB22TEW23GTrXF8NCYZBLSyNI4wxgTPgNgiB9MRLVVMvqQbnWuxKlkLAvhbMiheiQzPkD4/re/9uJcW4u6O+slSau3NsrYxWmX6m3OXdKP7/SlotyhK/FNNlX0UiJR4sWNwm3V024r6qBoiXZ6/FOwHlBfM0pk5acIyuNXWzDYFP4vDYDn3HJcK66XV7oat0qTU5g5LV+L1/VTTcmq1XmpvV7MedHPHThHAD1Ro2KILY9aVRyZW6ePZP6epZUxIz4Eg+3tvNEfnqy02/aLi9iA3cjFh8gAR/yzKMUGoMoQT1Eu3F3pY+byPa5km26rgbHJ7p0l7Sz/9JqiWPCG5JdayfZ6XCswHpef38i1PssNgOKgsbKKYtqUduT09UsewUJ1pF5ZToi4XCZ6sGSzKWmMmhKprsr204oiykhcw6dDGuig8ury7TWNS9rr1AgK3ytOUGBYygm5zTv6pmzp9mK9fgDH2TfwQN6bM9rXpLc9GTynrhByFJGn+/hlUbCGXu9ZKc+bUPc6a1Sn1/Eblxzu5eA4kofZuAQn8J4hulxFIE0wrhnvArAN06NcbSibYS53sYTHbgYQkd8xOOCljjU9RgX/yYKLFxBdy2VM0zWtT615DnlQ0VWxjDdDbkgx3DsLK4002qE2sfa86++mkpLP9Pa+XPkD90CwJmnniLYo5vCvOINr6MYz3tnzukDr68zKz79ervDpf0anTP/zPM89e80oqsnaNX7v+DzWf3rv9HXFgQcLmuf8KOrK7huN1UB8+nJoN9kRBAR+H5iAgzDSJ5IEAT0xJ+ujul3JW4SBmI25P3O5YrUhGPTEpJu1+1hJAc2+300UteilEq5YTFqJ42sMegjwYzEFvVNUGoprUwGuCjFT7+jqueBL5ksc5PoklXvYQoaZs00OJHRn88Kcmux41EKtD3xAxOE4/VcxuaA2KYtmQdzho2YPCaaAZt5PYa2GdEVJNCm0/elAyeuKIGwWgXgqc2tZO0ztm8fntzXuMHV5//427jz+38AgGe+7wdYlRuwb2OT4j2a5/SF970PgNm77mLpmWcBuHLxEmNi3x6OeZuvk2y3SyrFmyy/Ey8mMk6WvHBBba3rtbZvGORl/W/ZdlL9FWEkRP9RwgeXozXQtGyYjXqxtcWL2aftc6p+jq4bJP747cLD/OVTY9xa1XpuLNcpyHUu56zkHpyUcxzsBZTEh++EJjlBjK5mLA4L52AgfLdjREmVQKUbsCHcgnnTRPjqE+L6jtKccABmiofz8madyk3HALC6PRZeoRGoyyd1fMUrFTnwxjcAsP7kU6yIf9R+3we488u+FIClK7paLVQKQyqRVlfXODKtq9w+fukiftBf/+4m/8cCXUqpvcBfAl8XRdGJT21vcSi6/fKjZLGvrCRDEMRBhyiimyI0b0kJQavVSJywra11+X+D9OwZq1y9tsWVK9qpbTSazM3riWV1RUPJPa9HvK4IMRKS+igKpWOTPh5ANlegI4ustdX1ZBHV7ngcmdXO8s/LNfpXVnDknX0qo1gRh37vSpZXXdTX0RHY/pkSzK9JKVnbpzWmFTmXdWhntRJN+HJFvR5jHTHWJYs98tJ3wohT4uiXpDNQdWIsIStstzuE4phnW228uh7DnGlRFGK5qgTQHvqDP2H+Pbqz2b7v+U6elhKO42fP8lVf9SUMSKMHUnLKI0tsfqHunnbxr/6az/vSz+dGSTabZf/+A9RrdTY2tvSXKahrJpulK11sEm1QBjm5N77v9wtB3B5N6baYdOtJl4TsIJZOLx7iiTGGN2/bLjlc/xixzivDTBa3hlKEMUw3Mjg4q/X0j6e0Ife3Ophdfa5nzIilqv7+LaWIf7fpyHXoYx2vGOwxtJN9M116Mou2yhabW/o6Z2WBsdHrkY1bb0QwJ8fAbbJU0scw46CJqSiJIzkVKUJ5PXKFAoaULl7wmwTx5CT73WZlKYhxfjDq8muWPsePXl7lVwx9kFdN64VOa3WJ8jFNzDu1tEZcvOHWGoRBPxB1PSWKoqQkWaUcHTUQyNoGdR9Y/O1WBjJwFtkttdCL/MSZ6h+TlA5tm1iveemDC9pYj4NQcVRKqH9KSEytegtDHKFuJsOalHG9sWBw58f0BFWUEu4tR1HqaH2dCk1qAqtvOwY9WXju9YR0tdniYKT1ai3wGZPgZxQprsp+cTe86XKB6WN6Mq3s30+vpu2R0WyCJBMypomSUvBFIWve+pv3Yh7Rnx/v9fiN40/pa75wlj/4+n8jY5d3ZnaOtYZebFQuL9OW+xe2O+x4ntdVIjT5PAmEPhrIf/fPGXc2Dbud5JlFUZjS80/B+Uo7cGqYTm4PQAyzacPOp1J2TrF/Qs91vyulZOW6S25Dz5tPZw1WRadfR4cveERD4ItyH7q2wYRA80ueYlmiqC0D2pKPOCrB+ErHJSNlY8tRSCAdYzeVQU0WnF7cDdCxuBtxHP2AZUvrnuEZ7BMi31PLy1gSfMiLPSo/+Qwv7+nx/H7k8vNS8nZ+a5P/IuTIrxafwUSxuag/z370EdYkaEbg6eBkeH0WkztFEioDTUz65TQ7dXi7Ex7bG0U/wNsPPsWdfS3LxnG0Pe52uvjJwuZTCYikf08tMAe+73eB3ScBrp9drAKQq7nY69rnOZe1aEgg8+BKi5ddbsll6PFeyNvslzKOnBfQHNdjtwyDQErJKlIeFLge4zK3RZbJhBA+ByEYUkqfiednx6Ysw133fEJJBN5aqNCUTnpPNps0JAgRt5UuHzoMT2qX+Nl6g++RhhcbT0e8/Yf+IwDTslhrNeogwa+Jdpfli9ruNupbQ0qvrrMk3S5fqo3ZLqr/3w7zuZuusC0A+2LHusaY0kmEKCJdTntEEh8/s18WwBs9SkvaZ18qZrgiuvdAxeaLkfmppo91KmdxqK11S3kBW9KkwETRyujvJ+JH0+0luhVaBlItT4MA5rXdiDJab557+GO8/O67ASgevYmcBCfGquNEMs8ad94Fc3rs9r4U7bGU9fzus8/ya8taR5qFPL//bd8KQEnWIFTHGDt8GICZ/Qe48Id/AkDesQkCj+gGzHMK7bdWx8ZoCil4xrETMvEQT3eFAsZlsdtptwliO6nAlo6m3XaLiLgkTT/7+fk5lpd1En2gG3aqq2KUWqAPjGyI72baDoG/rUxKGQxvqmGyT5p3ff+clA3WOpSual1qVXNsSvDq7o7L52xIaaYcabVkMiM2xo5CegJeyEcRKt/vPA1gtj2mZU7smYoxsVNGALVculQcnJyTNHmKgoioq/2bo0FIRxKZtVIp6VxZlvLcUz/xs5RqOhD0rk9+gt+Thh/n/+kD/Ol3fTcAX/Y5b9an6vW4ePYsAEEhz0pJB/qiM6duqNsUEW1LxkT0m3WF9OISN3letpNJqF0s00qI64mipEyvJI2NwoGujPDSM8wpnXjRuW+b7Ut1Oz8gdunH9ut7yWaP8rL4NmWHdbFLLzNCvkQoPfyuAFYqJrOiH04U0Svo8+SiiK6s7fKd2Jb1mJISxI6pKPfikskQX+ZSS8ZpFTIUpLuwadq0N3QsJTs5zZS8b0uex5KU4HtdrTOVRof6C3qe+7tLF3i7JMqvrC7xexJXmZd5snL4EJOy5t4fRix/RCjee12q0sRlbfXqkHuJjPUGiVLqT4HXA5NKqUvA20C3Koyi6H8B/xWYAH5Ngk1+FEX33ajxjGQkIxnJSEYykpGMZCQjGclIRjKSkYzkX7bcyK6L//pFfv8m4Jv+OcdWRCij3z7UNMwUT2of3mdJC87K2DgrSxqN5Qo8TgaRis7G0fgQw4gJEftlIoeOHCWb1RFHw+zDG+NMu/JIEE17FhZZk9a2V64ukS1UAShJe9VO12PqyFEAlnIdPIms/9PUJFfleJclY+Dns5hCulgNQ8aDOIu9TCBR+lu6OpNY2ejiCSGma5g4EoV95VKPDTnHJ6b0NdwXKhCkRCdjEUnk+nC+wLh8/3CoI9v782PUJCq8uLCH5hVNKrjZbqKkfNQolGh1dJbiljlNKl8IQgJBaf3+gw/y9ClNtnrh6tWdiK5SBp4QVMXFK/y9QBYvXD7H008+zo2SIAho1BvkCkVmJKt16XI/MmwohZGUNkpGxlCEco8c2yGM0QBohBeQlK5qcES/lGgQSTQkmj9A0pv63YhRgQ7E6EU5bhRGoASNZWaS/Z64/w4y+/cB4Im+1sKzZETH9kXgSsOCFS9ks63LKV5x+FYAqlcuMZnRUXTHXSEv9+f1bRMjkHbs41qfMhfWWBW0YcE0qUoGbs2ESFA/SpALQdBlQ6DU+2bmMVY12mYta7AuRNGFwEtKMGNk5gkCjsk1/6Jt4Ml4HFzuEARBT0p/zZZLQcpGerksf7OpM1arzdqNAd/EImiYKErDadOEp5F8EmTWQCOC9MB2G6RK/Ryjbvow/2gHQmzb8SL651PpbfrbWoK0yS+WUJ7Wlbe7HjXJPNY8aYGdsSjJfZ9WKsnq+JM2OSlN/OyMzogveV1WpIGBqxRFV+vrgatNfIE9X5rQ+rPY7PKcZAprUcisDL2ZMZmSMZpy/EI5x/Kyfl+z1TFKVQ3pbjWbrK3qLG4uk0cJAe96Udvg4l230zmrkRI/tbxErbEJwFjPI3tBfz9x5x0AXD57BlvmhF65yAe2NGpsrddMIfduBAonRkBFSbmUUkZ/fkqhOz2xO7lCod8qWylCedYREQlh924ZxaEIwF2QFUPKxkCl7JRI6CVlQJGZRQlK6/ED05ySQ59paX2qKR9LygptFZEXfXrrXI77mnq/jNjV1SCgIYjuDWXgtPS2d7YCAikd68zpZ909s8GWPKZ1pahIVvOiGXFAnt9VQXYVbIu62NcFw0lQqF3D4HhP39dq6NAUkvG6oHA+rhSzodbp76mtETQFvaoMDsmt6AiKa6rjkruqM5Z+Ic/ba9o2da9zGeygiC5F20pY041NXtQupvVnEP2gDANT7LFhmolPY2eyWJag8Lqd1Pw3xEZFERj97PWO+VEZZI6Kb3FLgbChx/CeKx6mIDo8QaNfyYQY0oDHwaAq78RtxQzz4sfN5bm72wABAABJREFUxo15eh6OoCZ806AgSIjpXoeWlG80Z7QdGz+zSkNQpcqAcTlGLWvii772JOOdtaElTTdeEdogjTl6jkNTaABmmoq1WV2mSEX7jw995CPMX9I26C9vvRl3S9uubBAxdVY3xZiQ0tdLV5coyb1e9z3eJz7YldXL3NiJDgYRyrv9Drvbk22b7SrbYFo7Sqt3OdauJbbxVyZYefnoJFu889A4hZz+vi0Eyd1ylkZMi4DB+Lr2p14/neeQJw1SpJx+xfdQghoxMhZ7xP4dagWsSfOC+h7tFy+cXsMoaf+96/mEgmjv2SEdQc5U5vRYpg14UhAyr3nr58M+jeTbes97yRU04qT27HGm3/Yj+kIEjUM5R2tdz2//o1GnKWsgy3e58vAjALzuNZoi+co730VHUOnFI4d5t+jW5c1VnEyOnptaP10nyWSzHD5yDM91aZ8/r6+/2+370Km5ptnU9+S7v+s7+Llf+CUgXoOJX2XaffSO+KDr6xsJzUcQuMmxTNMg4RYfqLZIz4myvjMUpqltTC6foyHlkQm/RgTOQW2bsrOFxGn9xUaXQMjPO56+r0YlR5CRahsMslu6FO4ex2ZcfORp0aVV38MWNFUna1GQ8Y67PuuxK7inqq/n+BKdnJwrhKpU7zSzijEBMa2J3clmFR2xtZluCIIK62UMMns0cj9zZQVDbKUrhN8vRD4LgsL5idVlCmKzysUibWmg0TmqKX7OfPRhLPG31P59vP2JJ/S5x8qMC1J2TUq4r5coFKapm36FSUlb3354vQ6lchXQTQxAI3fjKi+zUiUjz6bX7STlfw0pI66US+QEze263jZy+iFVPAOStocpXdvR0MAARxCajoMpSPL/tZCjKOvtuqDO6mUnoWIaN0xKa1ovXzeeY1bjiijJHLbu+SiZoyjYCBc/C35IQ9Zonb363lhPXqYt5dedSFGS8tpO1qIic1pdfCbbUXhStba4Zz/dc7rMtbO5xmpV68fY+BS9LT22C+LvzD5wGOf9ml7m18OQjSXtx0/P7eGmnL7+eWku9dT/+i2Qaw4Led79pI4VNEMXR+7PtWRYq7eRjGQkIxnJSEYykpGMZCQjGclIRjKSkYzkM07+j3dd/FRFocln/SAglxeSVy8g9HTmxbQcgji7ndO/L1+5mHBmkSJ32+0MYaoNe9yK9NzZswnBuONkEoJxTzI+i3sPEN/OM6fPkCvqjE2+PI4v9b97hGB0dmaSq88cB8CulqCgo7RbQCDZ5maMVvEDgqL+bPUCnnJ1ZnK+l2dcAplTguJ6mpBcUX95U8PjOam7rbR7KCGZu++KHm8Q9jg9ptEPufUaVSEELm3VEmK+L1X6eh/1TY687F4ALjz5FKU9OnPRvXIZY1ETWx5dWWNNsqa1VR2lzy7uRZ3SGajf+dijnLmsP8/NzbJ+SWe0Jxam+7f+vpfpu57Nc/9HPgJo9NTv/u/f50aJ7/usrq0zVvWTNqVHjh5JyC59zycj3EM9iSgbhpFkrNvdbsIFkMs6fdokOb6izwWyOy3UbhnKOLsdgiNowkw2YenxtzR6SSnYI1mGcqFES87eGy9hCmdYW2qdx8rjXIl0dmKt2cGTzMqEr4gEOfjej+uWweu5HHsMHb2/KetgCiKh02xw2ZX22pd0lH7TNFmVd2xzbQtLIvluu81eX9A7gtw56RmsTVf1GItFsnGG5MJFmpJFmLUcHCEIbsdolkhRie+lUpQFedRtXuBnBbH2nZKlMV2PrGQ5UfBKeZ9+5YaiJiLNi6KM1MNOZwpTmZ50VjrhydlGtjyUGynsb5tStij53hyiaAoQY6E8VKxLhVxyikAaeEDIrKttxNzMGEFP79epGbh+jFwUdI0f4IwLd0HX5YlA61i1aVAV1OAnhPvhUhiwaeuTvRmbK5Idd4hoit5NntZ245QKsGPycDdgU7KmYWCRk/uWzwi5dGmaWeGZq0xNUxbb3/JcHMnMTVo22Xu1/ao1tO7n83kOCNrxoNdB5TTuRkUBv//MMwB87e0a2Th50zHqwglgKrhfeBKy3RqWoNzq9U1unKiEQ0KLoAEjnWkGkixju9VCJXwUaU6jbQjR1HF2/rkNWTh0t9h1CBLElt42JqrsH2OftK427SwZQVm2iw6BoEnXJfttRiZ2RetTMYKLwv844RtsCMrKlGu7HAWs5bUOvcY1CCTTqXyftpwvd0Lr04YRUROExbQPvgzRD+CSIHm25MvDrQwZ4RRcHStjy5yfa7eZrmh7E504j4vW9XhcRS8g2q/to19fJxBbuG//fh5a0PPlA89pAvHj58/zOYJ0HDdsXi4cXu7p5RvCHagltk3bGqqkG6XEz1nsbR9dhTzzlO2UZx4jGovFPBNj2ud529t+lD/4I83t88yzx3Fl3szl8swJz19dEBFXl5aIE+8RAcmcZ5iojNaFSJoAYJjMrWrbNNMo0hGS5nrFICfohbjhz4SpCAUp47V7PNHWY1/sGWTkOi6Kz9hWirY0QbizHeKKbncjn15MzntS61LbhLCnB1zyXGqCvGj7iqL4lV3hdctt+tRkfn1OKSzJgLuey6VxPT9Oz8xzSBDw507ptuvjd93FvmntK/797/02dUEbuN0OP/dPHwbg216miZ8dy2LzlCb3nXUc7hPbxPkbjeZCEFNppNV2JMN2w/Gp8nm9FE6bIXNdMo+Gg9yVMdo0ad4Tsejo/fOlLK7st5q3saSrkCUNpjK+z9iYXk+EbZeTMicdNm0cWVpcFBRyTymaFX2uW+shPam86CoXW3z98ed0VcQWIRPCL1dt9ejIvFfCJJQqikjQWIV77qe4V/NunX/kIWqPflz/fuEitiCc90wtsvITPw3A9K23JJde+O8/pj+8+lWUKlUA5menOSl+0RfcpCtMZu5/Gaff/w8AOIbBgX1aNydOl2i2Wnhenxf5ekmv53L27FmOHT1CXrjGms1GssbK5/MJcmZlVfP/vP0d72B6ShPT97o9uoJUqVRy5AQNEvNyaU6mGBFtJms6z/P6iGxlJSh8W/wRzw8TFHQUhkSCxvNcj1ypCkBHeECJAmY2hAd5JodnatujqgUMsRehVBjZCvaMa/vfbfU4K3PavsjCFn2+6OtjuZHinFA43tby8YUTsh2FWDk53nF9nY0opCc6M+FFBII8DSJFXq6jGJvXFY+OrA87UYilwuT+rEnDg32FUjKPzd6u0e3TBw8wca9ep6n/9MPY4v9MzkzzoasakXOTVONM7pmh/eA5fe0XLvDagwcB+NvlG4c21fUMSubRGHnb95UjYGNN36/Zef0uBUGIEiRsu9WiJyhtpcykGV1c2bWwZyHhhjt+/Lm+Hz9gotI+eNrepdZz0iRMf611xSL22wL2CpdffqxES9ZwbiFLKH61KZyshTBgUXTJ67gsy3D2Oxksqeg65etrsw2DNeELXKz5REJi3wx7RDnhJX1aP8NGBJbo7USgCBLKYUVWdMk3pSlLVCZ3/+36WOcvUrpT+81Wo0lb5k+z6zLelfWzNDhbLFXoCkH9uT/7U2xbqoTOn2HzVt1QY17W5Afuu4eTf6WbZFSnpnjTrG7W99+PLzE+ru1n3MtumHzGBboi+pDUjsB8FVFCwOv7brIQq21tyj7b4YWxw2bSp/1Lw1b7WhuXommYq5TmdALiYJklkL219Y2kxM1xMmQETnfrF97DTTI5dM5qWO6VT1zmuycF0rnU5BeP6G27mSIHfCH3FsPjWAaum+BryUnHQ3M1wLb1eC6JQq+EHhl5wRZNxdK0tpAXyXJ4WQhhJUBj9nwWzC0Ajk/NcEW652WKNgtyXz0JbMy5PawJPancfsftPHdcB+lmbAdfSh6bvR5zQkIfdz1pXr1CWbrB/FqzzfcKEbRh27zuLW8B4JmnH9PjOnUB3v4XAPzqhz7KL5zV8NizZ04xFTtvN0Asy2Zqaopup02zqYNbtm0nsNZWq5NoQxwI63a7STmG67pYYnx63Q6OLLh6QrjnZDL0unEjhJdQBjQA0Y+fuwFSxrf3zkPsFed5fFW/4OfOX+EHj+wHYMb3+Fc1fe6WY3JTKOUZctwiAYEca8xUPBuXEHYDOkVZREjQc9Xvsrmhywon3Yi1QD/Xj5s9CrJIbUmJ7ZRjczLUk/NkpcCpnH4HF8ZnWZdt49LHZqtGXYKiZGwO2lpPPdNgvzg6mfUelrxPgTgg2SiiLoHlk77NPQKnnZ7by0PSTOKHlvU777seKqP3e0/P5yfqa8ltLZaKNJsv3qnjUxelF4cDc7gJif3p25b+I+8HwqIo7Dteyfap/9PEvzt05kXKQ1Rs82wi0YkH3rSXAy19P71V/X5fPLXFt8zrAPjY1YC37dW61OmY7JeuATVpApC1LXwJINhhSDWrSyzGOiGmTNQbomumY4OURKxHAcG4XhSfzZjsWdfvR1VKhjoqZKOozxVGIVuWlIFlsozFvNSyILi6dJWS/L65fIWmdP5suj3m5Nq2Lp7FlHc3OyGljSurIN2p/rFS4eC7/hyAyvg477e0bn5LnGzo+RTvuhOAd567yE+c0PYv8PyBhig3RhSoaCD5Eotp9jssdjv9khLTiu9dlIo3qSHlldtKgtJO2bAyxgHnLWWbYtLfowvMyuYxEe7Gao3v36uDG1Ho8T11Ka0yQl4rZP8PK72Q97yAoKWfX+iYFMQuVLoqaVjg1aSrpg2B2K6uUvhlPfecyeXZs6m3MUQXMrZFVxJA6y2PgiwQ5jG4Ik1hbLmc57M6wAHaIZ4UJ9TNZwkFkj85OUlzRbrmSamchSIrznJn9gCFFV2mv3z1Mr8jC6433HUXAPsqVTbE6f3jjsdPntSBVcexcT33BpdWbwt2DbM3SYBru36kyJbjTrKq3xjox378FwDIZjKsrWl7XCwUCbL6fr75TW/gSaEnmJ7SQUPP86lJiVbP8wmlgcBdrznEfgm45TrS4e5sg2+f0XajtOzy3+b0eLs9xVHR+bgRwVYYsCnlpSoMmJKk57SnaMlqT226yT69mMbBMChWtd49U7JYWNW2IC8+kZO1WRJdqjddujIXh37ElpQY5Tw9rlqpiCrqY11qNpiS4P6m6TBZ0XYoU+9iS6OkmGh75QP/iCPBzxduu4fXbmjajdMnX+Adp58D4L9/u+6Wd+5jD4Ekef5qpcYvPvdM8qziIDjhjZjrSNmDtK14sQBWai4b2H9YcmbY5+3bbAuGDezmgKX9sbljixzI620ykhjeOrfCN+/Veli2In5IgqEBurkSgCvr0cg1aIlPRxAwX9G2az5UrEsvAUMa9HRthRsnQpUiV9RjOJHPMR93GJa5yXFMGnX9rjQ9g5p0yosabWZu0YvH0rT2x86eOYW/rG2Q2W4zLu9jIQiZlfLXtWeOU3zDawFYlQ7DU9NT8IIOsm/81x/jZ3ytbz/4w9/P9/7HHwbgwXe+C4Db9h9kXezVx975Hr7xz/9EjjGO77k3JBAfhiHNVpvzFy8lJO8Zx0nmtjAIiFW5KqVyrusln5c7btIROggMalIa1S8ri5K5LwJsmVcc26IrQYR8Lkejoe+LF5d3pZsVKItAEq97901xKKc/l0L98C9ebPKN81UAcg2Pn5/VNsLvRByURHlsm2w/pCO2yQ8C5iQpPBXApuRmjbr+3bMUZhj7RYpiSY/9VDbPnMxzyJw5lbWoFWOfJWRDOizaAfhCLG5JxKJVsInEdgW+n7x9HcKEeD670SAvnYR7a9p/zt5zD+2tLQCuvP6zmf0n3WFxrFrhuJSFXvinDwHwsaeexpQ50X/5q/nBD/+D3Mtt5fPXUZRCr8dMcKUckwgMeZ9RKilp3JQGbE4mm5QohkF/aMqwiCIpQRYFrNVqZGWNl83l8JPmY2wrtR3iPyUHNpOg+/yhOfZLsN0RkMvG1U2+bb/2mXJWyH+WJhddQiqyXygJQ8cLaYtdMoOQuakqALNuxEpekqA6t0vPVMk85ypFSezSeSfLjOib0ZSyZcdgXXzwbC9iK6VLDdElWxJN+dkxPKElUbMTIACkVqtBTt6pyVKWhpTljs/oua2xsoaSrrbd172ZwoMfAODo0WN89Y//OABPfkDrV/HkaYq33gzAXzz1PD99WftXYeCzvLzEi8modHEkIxnJSEYykpGMZCQjGclIRjKSkYxkJP8i5DMO0QV9/ILtxKgaH5Uiky9Ku+ZmIy7H2S0jNCxbOfh7vKdhWAQxqTZmQiZtSMbX93yy0ga4ly/yCxUd0S89eoKMwNuXhMRtcrzABckkz5k23yeJoqcrDYKuRFFtjY7oWIpQotE1LyQjkOm1dg9H0F9XBJWWNwyKgrAoF0q8YV1/f9z0OdrV574g0EW1b4KF5S0AjmVtlj099kNhlzo6Mp+v6VBwY6xItawzqeurK1xe0RHUPZVxCgISCA2L9qRGGDUEXbC0vspNN2sYY746zp2SVQoWZjl9VsPtv+MbdXvjX/nxH4fPeiMA7/jDP6RW09moSqWSoMZuhJimQblUBCI2N7cAaDZbSTbI9106kpWIIc/lSoWGlNWMjVUxBdFVr9XwBeo7GM9PZR2HJTFVing3UckgQUoop8S7btoLwMt6Jl1pAXtSyplyNx9ipaYzz72exw8LJPWJTBNrS38/vUdn/Na7bcpNHck/22wyriS72epQbunn/VyoM8ROGDImGYS16jjWho7OZ9wG2bo+7pNSjjZdNGg3hKSwalKVLFYL8ARWXxTo6kS5xLq0j804DpuW/r6Uz1MVPc1YFpc6Qt6b3L0IK9Y3S3G/lNg+bRgYob6Ob72oM56/NT1PWRBff+700ZgQsW//Pk6diFF211ki+WeA5LmvDTEEesAixYSnO34ZVloWI7rS6JwwtalBYsuiGJbfH0NuappfntZpw73PdOnGkH7Z21mcYE1sSOTCvxU0xclKj7Cnx1mR0gAvY+LFZJ2+iZg5lhstbNmvI3DkXuDyekHr9fyQYl3biIWcxR7ZdnVM9NLvJC2zu3mHomRYIyJ6cVZITMJ0LkMYk6+bJnVBWnaWr1LerxGkmYkJbEFvNUUPOuYlLklzjMl2j+mm1oetbJbTy1o3v1oyw39w7BYmBBnwjs01ymV9HbZVZlXw0nEG/4ZI1G96orOGUsoZRqnSM/0EDUMRxDCuMAWRj16KDU2jt+KvUvNiXAYU+skGqjDFL+8RdIMy6MSNNwRlZy1O0RGb6PghXyvP+JFKh+6Ktqv5nH6mUdEilDG0lIkppRcXu12KggrtZC0ZgscBeW96WRtLEBLTOIwL3/CZMW2DlgmYFBh+kDPJSMa6RsB4VkpMROfHDJNzom/7szm6oi/LSyuMif3P9DwuF/X8TKDn+c1anZ6gBoOuzz55B0/3XJShj/0Tp7W+/WChyJiU/P/hxz6c3Eu31+OaRNuftsRzTKr8+SWVhw2TeHtB3QY+Y1K6+PGHP05OWoGjFIGgcD/wDx9mTFBLH33oCQDuvvMWXjhxSh9xqsz/KmtduGXTTNCtgWSO3T2TXBYEpeeGfJP4Y0+XfPI1/UzHpSS0bduYgg7reiH5oh7v2UaLbEfv13Lidypgj1yHcmz8ltgmMpQ6+tmdE3+uYcI+mVe6eRtH9GorCJIynqzYufGFBdoyp5rTxaQEZRxFeVqXhDljPk1BphRFf7hyhYXbNJqn9tGH2Sfv3RlUghr4N7/x6wD8p5tuY9+4zpC/++QZ/BTZ9g3nogd2oj+voUdq+3cvBbXFtmOmdbbvIyUoxSjsj8cu8T8PaJ90bxSgBHwbU034B2dpiy0wXfjKov7+E2GXCSlHnCkIXCtnYYutbVk+piBvTjbaWFIu5guKPQwCZiMpMcpaIP7jdGjiyLbnxsU/UiFTghYsZRxKTX1ib3yc7vmzALhXtb+9cGg/J07r8tZuPo/wipOtjmPepkvL5n2D4OABAMov103s6+//B7pPayTgZLPDez6iCaD/4p3vZEnKzZz7dTna0dNnOSrVKN/wwb9LEC1bW5u4vR7hDaJ+UMDG+joZaW5jOxksqRCxTDMpf46bsjQbDQoFjRxxnAztTuyvByQVO2nEoMyDSoX0xB4ZSlEuaZt19PARVoRy5ewFuSe2SV7QO518gZ+SZ7bXtMjLfOzL/NBcdGjI5wwmXxPpc6yVQ8Zb/dJ9AJW3sGRoruVjF2Lb1MYUtIwn81zkB0yIH5fJ2UmJ3ZRvYghafkk4bDKOyURCFG5SlkqgVhjSFj/MFvRXppghFHSXa9t4QlFidD1mxdexpgvY99wF9KkRTh5/lptkLWhYBodjUv1clhVBAv6O2Ks3N5scy+hn9D1PPkkgyFIF5KRU7kaUwoZhOOAnRVFAIGtIZVjJei32qbqdVkJtZBomcVl+GEX9ysQoriBYoiKlv91Om5z4LtBHcYZBmBDI95H4Yb8M0inxc4e0zZ61TByha/FkcdM7OENH/DXXjfjqca27Z+yAvVIuWJb7rnIKmdroBgGmxAdONNuE4jMluhQEjAlFg1NwUPIejHkGgZRrXhBd8gwYk6qJZsagJLrUCSNcmTdNmRvzuQIbG3q9Xp2bYWNTI+XaW1vMT+jy0I2LVzDu0KXUW3KurU6Xg7HbnM2xX3T35IkTHDykffdf+43fAuCr2h0WF/cB8OcPPpQg8CKg037xtdxnZKBLKUU2m6Pb6V9glNS/KrrSHSnhrSFKOfxpzhzo180meMWB32PIbLFYTs7nuT6vntOK+irpzvK+WpMFcXBeWS6wsKkDIcVGm5x8f2lKv/QLysaRB5wt5nm3OEMTGZsPLepxvP6yGAUnk3REsLMGSw19bbNtj5w45M9LCWOv6yaQ62WbhMupms3QuqpLujqGVlij0+GUQBdbl85SET6Ms4f2013WUPmucBwdvPkW3BhCmCtw9Kiu54/abSxxMKpzsywJnPLmGR1UKc/P05CJqzlZ4Wvu1eU/d77qVdTkJTxz7rQ8Bovmb/+B3s+w6Qkvh23b3PsyXcf7vr97N9dbut0eJ0+eFmiqvl+67EICmYZKupzFjqxtW3hiOOv1BjnRAc8LUqFRMaI9v697AyU/yekwjAyvEs6qL5Muh7+9ucVeuf+vKRfYL10DJz0TpHz1T3L6Ht7sBjjSjbNaLXMave1tRsiT43qb+2WSybs+zaY2cOOFAudbujQx0+xiywLgii0BWRRrYlCuuG32VLXT+LlTVT60pB2n4rguwWh2u+TKWp+udppsyItzxPP4mHTqmZNyjXJoskcciEzPoyXdaKJMBvEDsTIOU76eROKAFSjawoPxl0GXfzitg6WFYpE3v153DXpcjF6h3qUrQbpsqrxMKcXlS5cTx+n6SsROJ4vE8Vapkp/B0tUYKm+lFqHbuHS27zPANRglv1mGxSvmNdz8jdKJ7J0bdebL2mG/p1zgNukauL/pYctE/ZdjwrXgB+RlCG7O4QXhoJio2Jzfq9/vo5cEKm1kaYgNsvIWmxJwyjS7ZLriGOSE68QL+AdPn/dN1Sqb8k6NFXPYq1o/1iRYWQ4N/KK+tvUgSByEe/M2y6bepjutSy3tep1stgpAz/PwN3SQauE1r2Zsj+aEYP8+/MuaN2JMgrVGo0V2vw4ef/BDD7IkjtfKmdNMSf1/TQL2vWqVYF0C25bDlXZdnkCILYtT9wY4bLHoDsPiiBpG8tm2zcS5inkpicL+XKgs+qVCNmxfpEQ+7LrAjPktMtw7pRfirxG+hfesN1iUxfl9pRyH6nr+2tNyKYotfFdF68pUEGLJ8+tkLHpSTjyVy3B6vx7nsUvCjWI5tHpxtz5FXa4p2+pSktt7TrjZHD/kjLxLhywTmSLJmQYtSQD4wrVS8WE9J12liLgs92/asckLZ47l6m39MEy6511od/CllMYoZJhf0PrUdWw+TxyxjUce1WOsTiGhHf6suckFcVQNRcIhcVlK+g9UJlkXXqVxJ8/FrvDGFYqaGzLa7Zl8urI9cJ7yhVSqtDXN25VsG2GYsfPuJ4uEuKTj137lF3n/+3TpwSOPfpKpGf0O5bIOT37yE4CmechImcEPLOr395lel5xwqt2Xs7hb5qZufY1x0aXjk3oenMZAybzbyzmsyz3uGBb/OK0/v2lNSlEdi622LF4KFhviN9HqJaWQm1Imlg0jlsVGj9kGLQloVqp5ale039SV0u+MD+dkleopCKV11WwhyxW5f2uBPlfl8ln2xOW3C3sxx3Rwyz17mpK8E1utNtUjWpdmXvMaPa6/eQ/2Ed257J1/+VdUb9K/dx7/RMLVd1WScnudDJF0cyyFCpUOlA7jj7kRMmSuG5TUOIZ1qb1GbkdLmmuwv4FSGe6dqQLwCpnH3rdRZ1qCrPeU8xyTzoOFZpeMJEk+KYnAih/iiC3wC1mapt52qmLzeFaf55UNPdeVchnasrBTeYsNmeuiZpeC+E3LJX0hThDiSdZnysnQjbumj+WpLeu5oyX+2Jxl05QSIy9no2QeKuISTmjbNH+3DljRbLEwpm1Jz3PZkES+T8QLP/eLerxf9zWUb9b+OR/VHRXzHZfyvXcD8J7/8T95Whal3uoynlB0PPzCCwB818234y9rn3CqOsbpNZ049FzvJYW//zkSl5s5mUzil3XqTUriswS+RyQBrozMt5lMlnPn9diy2Sw5WczXmy2CwEuOC4h+6j8i+tQSEbrjHsCJk2c5qG89XyblrB9otpktaV/7aMbisJR1lVp1DLFZJ8a0TpWIqMTnyDsYGSnvymW4OqbHtueqBFsCg5YEN428xab4WF6rRyXWpYIkJsM+19aE7dARuzs+WWR5ZQsAN36XuhEbeQmWm1GyuLcMi66UnpkFCeiHITkJOFihTUdK0I2sSSiccD0/wP07ve5blEBofnEPLXnX/vzJJ7kg97q6vMzSkrbtdZmMf3RyDke4zIq1Go4ELqvVCkeOHgbgIx/+INdToigiDIJtNLX9tZ1SioysPQoS5Gy3WoRCyxJGJDbUduyEBskWX9rtdXBlDjItB1+u1TKtfjm/YXPnhD72AzKHvX+jzozo0h3lHPslsWq3uijxQa5U9P9OFGLJsYxSFmENolBxWMvquSm/JH5QYNJN7JLJugRCu40OVfHB18SXtoOQQLgHJzMKT2IFY1NFrhzX75Ir9tAJFVtZ0RWjHyWxDAvXlvsjwbyrF05RlmBsx3JoSKDLUApb1qWl/YvM3qJBL+5jTyb3rLmqdeaPHn+Uk+L/B40uqxI0/bN3vhOAb7/1HpYkAT1dKrOmpFP31kZiG64lo9LFkYxkJCMZyUhGMpKRjGQkIxnJSEYykpH8i5DPSEQXKDzPTeV2jAS9hKGSyLHn9pLt+0gJlSrLSJFZxqUdUdTvzhL5WNLlolqt0pRslK88vk8InV+QcqwnfZv/XBSorVKclvKW2xttzsREdpLFm4wUJ4WsuZqxubuuI7ndIGClpLf5s1kd3cz28rypJxDCKMSTCLLX88hJxvLl0vnscVwecHTUeFxZvF/gqK9tGfgFIVKX7EE29NkQqGC3WMaTzj9Tboc1yXzNy7jzzQ65B14JwGa9xkGBUp+1bPKTmjSvNDlBJYZxSge3Q7k8VyWbVQoDbvmczwXgY088wd13amj+e5c1TPgVX/VVKMkOfPzEEwkRZTab4cMfFBLDGyBKgWUZjI2Nsb6xBaCz+En1T4Ql1xDrQqfrJlH/bDab6JkCogSJE0PpPfo6lk4zmMn3GcPkbQL3XZaSyePtkPcd0qH8kz2XD2b1uW92XTZCHbWfDPX+bq+HPa0zfU4UcV9Ln3vhXI0lySb9jXkegFzd4gHJGgYZm4qvs2avtyOeFzTMfdKVrxuG7FOSQSNiQzrWzXohC3K+Z4V0uKegKMga23RAskWnbMWcEI/vFURJtuPTkoyna0SMBXLtStERgszynnmMdZ1ZjFb0OSLbIm9oXf+KTo+fm9QIsbxl8Ht/+Ed6zILouq9Yoi3jhf4jsGyTYrFAs7HJDZEoEjRWnLEOKZerANTrtVRGe1gWQm3LiKe6tOw80bbt9H6FTI7/29DP7CnJPD3j2fzUmM4sXQx8PiSEpgcaPZ4WpEJcwlGJDNaEbLmUcbhFyHPbbZf1ot7mI1Up+dlo84qKPm7N9/Ele1N0I2ba+vlnsvpcDWBSppuVIEi6yo5tdZPOn6olZMGGSrpPZSJFJn43TPAlI1WTjqNT2QqRlMYa1SrTUjK7fuoUvEnbG3dtE0eaYviSHqvYDhuX9Dvxmj3z1J7WqBPDNPvNTgQZ8Kp3/3Uf7m4YCcrXtOwEut5q1bkxogSmrU8ahhGG6EguX8RvyHlj4t7Uv2D29Ull+iTjsQ76bQhjJFoKIZhC8mQMix+Tv5+VctITrsnPyZxz1vN5ULKM/6rZ41nRp46gMAthxJpkBifzGW5q6WO0z3cxBfX1iYqQ4m66vEJQxm3XJ5K57mVhlkCapbQli9gIFFWxf74dsirXfHsnIJAxuFLaERgKp6htRXdrE+HJ52IYUJZSr4OC4rHbPnOSvVWhjy9Q/64fEgqCYvbue+iJjtz0OW8G4Ny73k1F5vd7iiW6axoVnclm2ZCGHqFcz33PPUFW3gu3101QOsVinlZzixsnMbJhJxJ0oCw6QaWm0e8mYRh3ru6jCuM57ed+/hc5ckQjSbY2N5L35Wv/9VezfFnfi8cffYJfkUz3GfE9fm6zzR9IN7vVMOJ9Gb3fm8OIp+LuiOJjlTCS0tU9xSydZY2qqWd8tvQheJetvxvfUNw9oee2Nc9LynnzvYBJsU2OZNtbYcCi2CZPwYqct7jexpDzjcvlrnV72HFJpVIo2XZDRZTiZitxA458mZboUi/yecV+jWJ4fnmZSxd0WdrsHXeTFzvdfr8uKXM3Nrj6rr8F4C0R/Jd/eL8+XxhiivE5s6bLrF7zj+9jfWUnGa8yjBvYwXMX2RXyM4SvYWBbg+GNMq4tGcvhRwSV8LzoyAs9gx/Zq23ThZ7HP4if8WVhxDk5dzNuYhOEdGSuq2ZtbpFGF5YR0hWUwMcsoRhZczk6pfVp0/eTxqQFN2RCUF9GIZ8c/4Cg+M2cwVWZs/bXezgy11XlVdrwgn6Jrg9S8c2VIGBcqhquntKNmUp2AUOqJi6vr+LIdYT5Ane9UiMAn/mbv6V06SIAt3/hF+v78H//Av6i9u/vu/Vm3A/oeW92bpa2dNj7hJREfp4BZ89fAGB8bIw04rM6PsnW1sauz+OfK4ZhkC/kMS0rsSu+7yfoLReS0rMYubu6uoYjFRaGIkGmKaVQhqxDwl4y9nSHanFTmJudSUrLuvU6P5ivAnBRmpw85WX4D9IEZcnzeVTWAV8YdDkpY2/IZDKlIrolPd6xrMPqVT0vW+WAQGrLHrekvLrmcbCqdaXh+UQyoFwvpCyk4PNim1w/ZK+sR62s4qqUIOa22mRy+vu4IZDrB9SkAQuORS6uBHLMhEqgK36n7ZF0Z+9EPrfu07apFvo0l7b0GMbn6MSt7KTqyF9dRUmTgzcfPcYPPKJ/X1tbS+hBzCm9JvyW6TFeeF7rrh/4yfPqdjs8/NBD3CiJolCohmIfOySe86IolC6cYDtaZ7qdLkqaykVuLymm6LkBJUFjm+JHlbIFNgSFNDk5zd336G7eTz75RNKB0+v0+CGxSyfFLp3sKn5wn54LllyfD8vzeEsYck50c1Pe531E+GKXxh2H1pqe08KmR2mPRtKfkcYauRWPOYk7NH0fJccouVCVpmRRoU8ZsiiobMsw2BC7NFNrk5V5LpBYQ+AHRHGJvhGRkXcmMMEQHbwa0/Qom65cj7u+woGbdBn1mUvnWBFapWnDIpD3xxX74txxO7bECr6kMs6/W9Z2S4UhUzNCxj+pG3Hc9smHaEoThAMH93Ph+OP62qIwWYtfa7obIbpGMpKRjGQkIxnJSEYykpGMZCQjGclIRvIvQtT/51mfT1OUUtHO6JyR4iZI8wVIFDdMZYuUIkFKKBOjpCOGRyd1tqaIoi4R34ubDXKHdCakslXnG4VU9pZuSMy6tCZR/HvbEbcL8d6DuYi2kMKdLVqc+xLNTXX5z3Vr7a+st+kW9BEe2PI5v1iWofezrX+zIC1Ml1zulsjsa1YbjMV8RW7AC3oTupIxPzFbJickmNmMyaS03LXqHeYEjRTK3Yssh5qgXyYsm429mlPDml2gNaHHkxe0laEs5m6WKO3ZsxQlAz1z9BC2tBK9+OTTLP7sT+oB/fGfA7D1icd4fklnc+/9mq/m7GGddfrr976Xen0LgPOXdG3wubNnqZb1eR988CM0G/r3crnC1qbOIvmB91gURUJYcH3ENM0onytg23ZCoLt0dTnJ1KKMpDVt3Fa22+0mmaAo9LFtHVGPUPjSIGD/vOYps9weLcksXN1sgSAHZos5vk+QDEfaHhXJBq9Lxu+eTsh+S45bLSV8Mx8wuvz6oh7H7HNbAPwoBhdEB/aud+ncqUn7MspgTZA67zd0ZtKtebxCUAoHLq9y2Nc68rFug5qQDO6T+1CdqnDOEB6cyTHygrJ5/OISq8JfVBD+ABeTO6WF+1PNLa7m9LEcLMplfR01Qb4dLI6RlVbemTDAlHu5WSmyN6vfw0nTYvO4zgaNSW17sVKhdvYcAJ5SvGWfRunkTMVzx58FSIhG253utoy2cFiZJtVqhY2NNTzPva60E9o2GRo5E9scBY7w1Lmul0o77EbqKpZFWSD8LoekyYMZeDR6+h5ebfooIdKezlj8xoLeZqbeSbIvmyV9rL21XkLAu1zOEEj25VLW4E+m9DmKp/U79iNYnDP1AQ62fE4t6myQ2/MJ5RgfFZJvtelzu2QQb1ptUJXMpOWHnBF9zIhOtas5QkH+2JUcPUEHlVsekzH/lGRS6x0PS9BHARHnJROqehBIMw0ErWr24N79uu3wxa11cpKZm7ntFmYr2rbnb7+Nbk1nrtuCNFQff5SxYzqLWT93gak/+j1gkH/I9/vPyBRkQBj4OI5+/8YmxnF7wi+2tnLdbZNSRmQYTnJu0C3TY7SMbZkJV2BB0AT1Wp0B3iUlxCNOPvn+6H7NQdJdbdCRLOxqq5eQzU/mHX50Qs8Xt/T6/H8XpHX5gYaLI3Nru5hjU/TlogHvndSInbLwh3x/aHJOeIzmmy6be7WN77kBWTnfB4SjRvUMXtHQz+fY8hblmN/Bjzgt9iTmhzg3XsIW5JaZt0H0KecDgoTwY16OboAvWXHbVLSnhEy37VIUzr+4sU22G3BrU593Oe8gPMH05qZYEV7JwwcO0hMeE0dsexl4VmxQRyk+V5qpmCqiIag7W+bgPYuLdMR+ri4vJc1zqpUyF86fJQSi6PoSdSmlIiNB6vUb9/QlxYM0YKNibhOzz/1mOCC+zoEJrXeW69OQd2sjMKCo7cZEFPB9JeFi6wWMyWWdzOkx3NLyUfKdOVakJkO7YET8kRDuTgkH3H/C5oxwyRRaPcrHdNa32/UTrsAPZgX52I64T/je9ixvURJdCr2AczLHloRzzitnUTlBLleyKGnzvrnVJCM8caLitFouORnv7YUCG8J5SmjyUKT9KeF4xnYj7l/QNqYyUaU4od+7iYOLWDLvsrLGeUHIO8LhNp0v8sTDD+rzliu86oIm63ddl+k5Peetim8GUTLPhUGfc0+ZFpG82yHBDbBNKjKUKQjmtKoOI9xS/f8HOMTElkcRZPQ7eXhKIy+twKcmz/Rq08eQuW7CMfmBqt7tkBuQE3/4ojz3g+0geVablSxKEFBLKuIvxX8ba2qExHd4Ws8AxrsemcOadzfqBQnA7DHx4xvdkFtknjq8VKMo+hS4PueFhD6fEVRENQ954Qcdy2GIPq3XmjiytjBk3FEvoCk2fD6b5bTS1zxbGad80wF97ue0Xclky+zLaURy2+viCmJniZC7vvhLAJj8nM/lyi/8ir5v4lvf+5VfyfI7/gyAZi7LV53RvLjddosLFzS6KzYNrtvDE0TiLbfdxvFnn9HXlssSouh0mgRBcF1tk2GYUTaTxXEyia/UbncS4nnDMBJ0bknQ8VEYosRH6HU7mgsXXVFhTOr3bH9BKmw6XepdbeeXmh5K/Nv5gsN/ELTV3p7PlKyNXnAEWdMJEtsUlXOUBG183vf5Q9HdWZlrvh+TUzES1PNoS4MW3w2wZZzPilJtdUIOybPbv9qgJJ9DN+CyIMiyMh8Z5TxGUd+TXCVHKAiyjUYTO+ZHjYuRugFbcp8O53J8zNX2aCGToydzbCT6bPRCpjelkUbZwclqe734wCvYsy6VEO0OJeGiLMvcpUyLLUF51TY2uP/BDwPQajUSntB4vZ3JZjkk+7uuy5LwLnVazeTZ9tzudbVNShmRZVgYpoGf4i2NbZCTzWHKGswXflPf7/PPhWHfRtn5ClFR5jl59qrdxZEmWKeXN1CCUisY8H0T+tkt9HyK4jtezuvnuKflYYgu1csZDPGFN8OQP5OqmWlfr12+zSNZd2U9DyUornykEj/+rIx3ox2wT+zs4lKNfMouLedjuyTIx7E8iC7ly1mC2C61mmTi90fWeG7XS6o8DGWwLP72pGXTlPcjKRZwQ+7LaLsUzFbYWtW+UXZuD0ey2q7PHjiYEPQjyLfo3Dk2Tuq5zbJsFk9qW9NutylX9H5jE9qHn5ufpyOowkIhz8ce/CixJPNfuHt84DM00LXdUTMYdNrUtv+hP+mafatuFjFzEuASUsu/wmNOlOVkMctvzGmj+JpGkwUhTUYZ9GRyyorh2Nf2mZCSyUwYsSHjWTNhqaAV7hD69+cck71FeQE2eqyXpHMjcDGGSIqHfetaiClk1ZOrbXq2BBBcn5Mx6eJerQyXZ2wKvbhMTlGSDh61bpeZgr6+2YJWoE6rhSmBByMMmdmvJ1V33z42Lp3Tn++6B4Apw6KUlRKlF07SHtP3bO7IYVjTC+Sg3cGVsqCYJH+rtkVViK951StAAkI/8sF/4NK6ht5v1PTvV69eTEjdnUyGSxf1BDw3O8tVIZI+cfL56+6w2bYdTYxPki8WE6j0iRdeSBYlxWKJjkxmRTF66+vryWLAcTL0xMF3nAKuGI+8wHffMWZjCRl6NFbhZ3y97ZfYsL+hn1/OtBmTxaz44BzY7JGTMYABcQcy5dMQp67o6n3ORQGulAF5m128Be2wHQoNzkkDBWNMH8vZ8CiJDpWubrIVVysFEZ5MPjPj+jq9vRUqngRFGm02pRuViiJcCXDsl8XqmGWxKUT7l5stLgpEejKboyyNG5YliFPtdHEK2ngvrtfoyD0xwiDpFONYNlf36Ht4n3SZ5I5b4bQ28a2VFfISIFtYW2ZJ4MSW3e8yFwe/Pd9Lyr1Al3+FoUcUhdd5MWlEhrJIB9sNRb/MR5/9WkcgWYSaBZBAZ0EWwh+YLjMnjvLqWIn/K6vvyxeoiMOb+vuCZbIhkOKcOPlz6y282OaFEWFcuWabrEpAKoYsn1Yhe6Qz3njN5YIQNvtewBWxp+NVrUuLK11y8sxL6x3WRYczfkjcJsSUco/6XIFJCcJvhAE9CRq4gc9N4jRmxV5d7bk05Z6NF0tcFuLlPdUyXVnoLotzOJ21mcpoXZqtTLEh3YGqBw8wI/amtr7J6oy2kbdLZ1zuvYurf/SnABw/dZLPKulAYfmjH6DVGySWN02Lkky8pVIpmXBzhTy1TT2pb22tX3fbZBhGZFkZXa5oxqXQ/XYXfhAwMaHH3ZTFW6/T7pfeK6vfCMPJJzZk9l7dCeeXLmwwI+9Qq1Lk/5L3/4uzEbcIKa4fRQn5alxWM1t3E+e94wfEb1HPMmnLos+RhfyWgvKktuvGaj0JgOeVyYp0yJyS+fGWTR9LyuPy620uyyXPBoq4YMaf0A758myecSk3a4UBW0LIHUYRGZl/ClIe14xUshCqoqgLkfCh6hhFWRWvyv3LBxGTY1pXFpXDlthKv5Dj6ZO6YKVVrXJYGmvcLiWIJ8+cYWZB39f6xgZOtQrA0Q9+gI7M02HY7/wal/Rmc3mmJvW82el0uHzxAiHhDQp0Wdu/HCgZU0kgTBZFYaqDmbJJbFOmjBJfpyhJsV9WHgVZWBilPL8jNuTNvseidJLLGIqtjp43HLEV+VqXvOjSguWwKveqZRm0pJyiKx1KNpViblrbk2i1TlUClkutNlclGTUrujSx3qEki4XiWofz4qgrLyRuQzI+qce+tadENYgTNtAQQuyW6yWJRV9oIuqeTyamLfADXpuXrny2zT/6WocKMieuuz1eKz5f9WUPkJMSfrfeSEpwm7ZN5iadABx/4rgez+XLtGTeDrsdMlf03Hbr5kqyQIq7PkdRmCzcAt8lHeSOA+Se7964QNeOEsNhPnf6Z9FBlSpXNAsgJTUZCdj/ZtlgWnbpVQr8ZE9v+5aMz61Rv4xbif0yxA/P1brE6wM/VeoZOBZ1IeQO5FirSjEngdrcVgdPEnLZSHFZnvG4UIxM110yMtdZq202pXzHcMOkK/TYtNan1kI56UbuhRE1aWjRdl0KEpC3xKfpBCGNOFnhBdx0ny6F+n/Z++9oWbOsPhD8nfPZ8BHXv3ufT2+qsnyWpwooikLCiiWJQUK2W2q5Ga1pzRohQ48cUhvNSKjVCIQEjKRGEq6hQSBMUZiqLKoyKyu9ff5db8J/9pwzf5zf+SLeyyxA4j1pFRN7rcx7X8SN+MzZ39777P3bvy2UxuTEJgaKM+ftz5deQlHY83ro7EXc5AZ2/dw5HLFFbHVzE1P6hFVSPvQunIN84AF77T/9s5iQEuKRz30aO4f7XA/7Q3o+E6bAysoqDg7s+3EcQwqBaTq544kuIYTxOA3PFZuLLINiDKBKVRVh2iyGF0WBydhRUzi6CABRF7Jt49cGieJ/sCjQY7w+bdfxPdx7fbwscE+mq+9Q9BfOzB31x+gyWOobhQfZhjz2BI4DlxmkLmmDjTUWZEcpDp2uGWCfOrjk2qCHGWLqUnCQYMDijZdrkD8cvQ1rK7L1JiRjHSkEBmzRnBYFmjzfmNdQKI1d7kW8XKGkf31/r4fncmubUsYAS0Ii5F5xs9ZCcs4Wx7MrV/G2j3zUnltWwDxk9aZ10+pi8La34OAVq2vq8lVsXDhv7/Xf+zso6N/cPilJEvTY+qeVxgmHIBgzS1Lm+fSO2ibP802j0cJ0MqkKgmVZVL4timvImPR0lAFCCJQOFBL4CFjI9Oqt6n7VSP3zvbpAz8VMrTr+IX//2lDhHPMGBqZKZCv6IH+UokZdSqGr9nfjexjTxrgkZl8Da+ucKNqfYMKkeV1IsJEUy0xidQYzuxTsTXHC1n8vU8j4UK9sde33rzcB2klRGhxz3zXOc3SZmPMZ9w2LEkPaJWRlBdzZjGtII0fhZN8+43vwp/Zv79m6gD4foHB9HWukwfH2DjBkDN7jsItYKYzoA5ZHU8hde3Xtm5dR0l9nbv/q+Whz2mWv18VlJuuBWaLLmPJL6tKidXEhC1nIQhaykIUsZCELWchCFrKQhSxkIb8n5MuUjP7NSFXFm/w+JxVMWleILqEzyJ5Fm7xl3WZsXy5CrF+xaKOzkxR/7KAPAIhbMVodZqpVgZ0DmxWe8ruuhQHewypnYgwOQmY1ixxNkp8esvUD4wTXicDw2m14HFu7WijERKR4rCR/rpzgI1ObsexDo0bEUNZpwGfWs8kOrAw+9qTNqtfHBV7lCNMNL8QSoalDVq6fnxzjvWu2LVNqCX9k0TrpdAqzZtsYj0lqefaxd2BE0vHrZQ5NhMXk2edxTGK5+77lG6C5HoqtZt1XDKpy/1NPAxyf/fjGFl7dtdD7kuiTl154HucvXLTXLkVF1ru9s4PDQ0s8fTfE9330llegyrKCunY6XSTMJJeqhM+2wtHIthYYrSt9UkpVEM48n0LWbB3ynWfsPej7HsJX7b3rjlP8McLbt+IYjba9xjP1GMm+rU49w+Ne9jx8nOgVXwgMSSAf5QZHE2biW7byYDKN9Yk996t1DwlRdFdKjWXex0Laz283BE6xFTZv1hGxunGmXUeX1aRdViA3gwgjjlKvTQT2WekLhcAG2wCafNaGLR83TywSpghCPFxVLCSuc+StxzbfWqeLwcsWHXG0uo6wZdERolTwHUJi1McSdfX43FkAwFKRQ7GdZQiDyTmrvx87PsJPcFRwjYge35PY2bb6CxjouUr3d3zHH8VP//T/gTsvBrdXsbUxVeVohui4XbzZrxVZfQHhW7TAV95nER/7UYQHXrbV/WCS4X+mLo3iACcN+x0mkiiGdv3GDh3XrCOiXiXG4CarPj2jqwrOPqs0q5AQJ9YWPOdpeCSI75Qay0QItIjy+6JJ8a4RiduFAAh19roNBx5CwKJQJwiQ8z7URwonRDlKI5Dy+XJU11G3BsnWqOWzF3Chbdf2tS88hfHUPicRSec3107j8Ka1JY17l+Ev2XvlpQWO+YweXzgDPbXHe65vEViP/sYTOHXmjP2u/UM8/5rVx2/qruJfkxTTrUVcq2OTrcjJdFrZrDzLoNQMEXOnxRhU3+/aAgBUKAXA4ITEsPoWnzcjEL+FWJ5tqu/tsmVLrwAv2WvtTQv8bVacwyzEmC2iRhgk+2wFdBXQOMC6Iwf2BF4jaKxtNAKSr+6TKLdtJAZsYzyQBh0iBzu6BNieUSdC9ddNgncNHcGphKA+jTp1jNim2CKao+f7KFix9QZFhUY1hUZCva+oaGMPRORj6oXoOcTSeIikGhRjv/+08rDDFrKT1VV0iTBo1xt4x7sfBwD80pXXkdIOfYEtbzVjsH9k/dT5r/gQQh7jjzz/HH5gz/pIR0YfRjEConCiMMCl1211UmsFIeWs7flOi+MCdw7L3BormWpgjzf306GK52xXkcNftzb7fefscyoLoPGapSk4lU/w39NHidhHxnaJqVDI2C4j2Yo/qkWIqEulEDhmu1FbCCT0TcdEPNSFwCGrwSIKEPGZXis1lnjKbs1vRgb3H9vPj6SAYoW902siqi7Z/tINZ7ZJjDNMieg0JTDlZTsEWqdZR8IX16MGXmOrUE0YnCZKy2ccuJoDu6SHGLz2Kvy3PAoAaEkf/sj6tu1TazhHFIZ6wLb5eIM+ajzeyd4+xkTofC00foHIjFn7TQ5VOsvpFtj+mJEx3y0ReGOs/WYdInOt1G9ojwWgcwgiud57v0XsiCCCesXqUz3J8Vfos5omwpRxtPEMFG2T4v3yajE8tvfnxuCYn4uhEBF6NabdaRkgPbH+ZEcabGT2OwKl0KNv9Yxd0+dljkcYs2dSoiD6or3SrBB+wg1vCr0KTSNGGab0ddAGaXnr/al3ayjog1c7yzjaszakeWodsrfM49nvigoBTWTW0fkLKBmHm6LE6y+9ZM/3/Y9j98WX7bmt2li0bLcRXrV2/qTVREnn/HWNDv7FoY0nHBWH0jOdOTw8QJ32L4oiQAgkbNW/s2JbspTSGDPGbtQbyPns+EFYtS4WhV3EZJpCELls9KxlF/kYwrd7nfcs2fcniNF93aJFutMcf4E60WjGGBNhvKdztIkol1y7WlyDT3TnugmwTxRNVpZo0Wbt0TZ1pUTet+f+ig+EfCTjUqPB4znSnZdFhkf61oYUUlS6FK000brtztQiDwnRbNkgxYg20TOodCmhv2i3Y8QDoryED3BNd5IUTaLcply/dgbscs+njycQjEFrByd46T/8RwDA2rd9K/Z/8qcAAO//5m+03/VTP4MuUVzq4gUMaGO+8dQWfozx9rBCmxo0qD9ZmmBl1e61d3d3AeVs1p0VrTWS6RTGaCiilMRcDJSnyRwFjV1bMxd/a6Vn8V3/GP45uxd+31l7HUJHyJ67AgCoTTL834i2CuohJtSl1Dfwjuw6FbQJXq2GkmtnSmCPrfux0ahx/Qfc8zclMD2xurTnGfgJEVtCwo8cqb79+arI8TDtUuJJKMY+8XoToetooc2tRRIFdbscZpUuSQAp0WiCf6ubIfTQ6ofn++g4RGRZQrmhK67FM9fQtGHjrTOA6wCIahizYyt5x2Po8PXDowEAYCMKkZCM/qBVR5RZ2/8HRz38ywMS07t10Rr9kyOu2xQB8yRFnlWDCH+r3sQFomshC1nIQhaykIUsZCELWchCFrKQhSxkIb8n5MsU0QXMI7fEXGXJzP3/FjJMcgbNj5o1UCjJ/3TPks353XuQ4QqztFoKNBtEzQiDHvt0870UghXdaGKrNfeHMZ5i1Xmr4eMij/GyDNDhqFDDbOu2Vnh3RJLnXOE+JrfHABCwgk9+pvh8B58kyuUdN8uqn/9EGJSsmic8lzyfok0OH0QNrB1zXHItwOu7ttf+mMyFD2xsoWQ1OpuOMGTVqLZ3Hd3YVmu75y2Sxj88Quus7eF+tNmpiGYPP/0Z+A1bKaiXGhn7eJvM3ON4BFyx1Wz85T8P/KIlLvzMjWsIpD12g/3cAPDic5asv9lqo8ve7larhTAMcbfEGANVFPCDANvbtoI4GY+xuWVJXyeTKQYDm3WeL7RLoq3KQkOIWUUAmUWMvCWztZno5hiC6BPt+3hn277uKYP7yL1UjDP8Bke9ciwBGgbwG6zvyBJt4l0OQg/HzGY/R64FIYA2+79XajHet9YFANzY3oYg6mGdupnFAjttu373bafokOTVSIFf5jEu9OxZvLZ7hJupraqtw8Mpogll4CNgjvwq9bWWKTQ7JMRGiR1WUzwAjxIhVJDnJJgWWGeDdy8t0R/YKuby1iYKVhk6eYk1nkd7YKvYKBQMq0VerYaM/HD/YTJGTu6CTsd+JplO0CQSaDwa3lJBfu65F5Akt/Iw3T0R0MaRN86GZmitbvkbK3KGpoCESe21PjzsAgDePZkATfLYBT5KjhWOVIkWEV3ZMEXANW3SNl0ZD3ChY3UpDjXO0Ya8oBWKiqOL988IjLh2HSWxSps1hR1vDQA1ojG2tpawzWM9sJ2hzescGY2ya3UsNVxzpZCwQptNcoRjEqlCYuwTxdMmIsIPETWJ7Hv9GRR8fmTNw9nWad5L6vPhMR75+NcCAAYvvopgaHXlzJnzFZ+B3t5DxCrUWT7XBy+8BE1+LVWLUbLy9DPJsFoVx9nne8BoZCv/08kIJauYsihvW8e7IeYWFI7neRX3jimKGbezm5ku5n2dQoXIUTmybbvG5zbsvV2+McaQqNBSCEj+nhQlIgfqGRUoSRAck1/p+jhBi89mGAEXiLx6uVTIHCCRqIoSEoZIpjNBAG9iXx/AwBj7va3A6vSZsz0cEBWzdDPFihu7DY0HiWoxXPddUVRomXSSYIkVxakxCMgFZzr0sUmGkiiOcaBxg1X6SAs8OHIIMfv+i+kEp0lm/BYZYcpqevegjx1+x3Jeost74ZAQtQvnIHm+N69ew8pFi07+icGJ5ZiZkyLPKwL6k+PjimPC9wOURYa7Jk6PKl4ug6rWKcRcSdRxXgAOySUE5myTRrFjbe/FVfv5c4clirZdxz1PwBCtLLMcoYN3Dkuc0HbsE+Wyk+b4oyRYF6HGvdSVzxc5NJE7AfnVekKgTf6U3ABniGJOBDAhiXewQg6+3jJ21+x33befYpl+cFdoyJr9mwnR775WGBPxmo4zhCP7emZQDUww5J4TekY2P6kDJ+Ti2ckS/MnCPhNDIp9RKrzuUF6jKc4QQdFePwWQu2TtrW8FXraEvCBqJW+1Iajb8r57oI6tnfq5l59Hwmdb3SVExO9c5tFcX6qWfuvrAnIONTine0bBTKzdvm9k48H2aICE3LWJLwH+nmYlQqJowlGBPnmqcurTlWmGB7v22fJDg1Ue70ZpoEPHN2nvXdNIZNS3hhA4V8z0KaSdCVaI2FyuI9m0x906zrHqkOyhhKSfSH3GPMagT3+RjVI0yV+Ta4OcvEop9SZJctSJ5JiqE+TkkDycnOBtj1kE6WmiYg7ay2h1Lcpr5+d/Ac3H3mK/9zOfx2PnLMfuKz/9M7j/fe8DAGx+k0XhPP+df7NCUA5OTnDPt3yTff2LTyPao58m0seSvM/wD67LodVpYzgYzNbvDoqA9WtKlXA6M00SODbKPM8qvqXJeMRPydsGGzheSglFxMgDp6zOLB2kGDBWQuRBuU6IokRAeOe5iYcBETkjDgp5fZTgnfRzS3UPitf+XKkxpIM8ph/oGgnJ820agTM0+UMDhLymmLDTIOriqGvfXx+WWKI/TyTQIfIq9UgObjRGjOOm0wwhud0EBBR9T0KzrLMcDcZQuScwoN08Vgqnh/Y7lnjPxkmBNW7/l0+toCRS+kzcwJjxn75yHa0bdk909d/+OACgsXkKe7/xaXvc5SVs3mtRqD+3t4N7+ftLRBcCwLVrdv9Xr9dQI5JqdW19bpjGnRUpBcIoAoxBSpsQRTEK+nwhTKVXLoY0JkDIZ1BpU8XoYRThVN3uIS4cWhvsHR9gQl0qQgnVdp02CgGfaX9aYuj4JRnvXBtOcH+X6OeWwTJ1Yq8ERvSPjhy/ls+2K3UNrBC550lUg1DqPQ6a2lxDf91eR+8kQ5txTOYLRA1rS8bCXnuhNfr0Qck4RS11wwNQ2aWMtlWUJdode21TaIwK11lgsD7m4B+StiZJgXs//nX2tcEQ2zeYU7lwDxLmLpa7XeRftEM1lro2v5BfuYoGY8uJ52FtZH3ejx8fVrGG5LOhyrJ63tMkqVyLlN5tHMhvLl+mia5bHaz5bYFpGjOnaqrJEwICIInpv71qFeDP1yRuMpEwNiXqdIqBMTg6tEZ2IgGPStmicWxBVkZo3wNiktCNfI2cpOOn2H52RgIFlfsYCr8a2L99HBGGnKTY5UawFsf4P6icq8ZA8mFahYcxlXqk6aQiD+JkptRjTgR6i/Tx7NQ+qKuRdZrK93DCp2mp04FkoNcqSqDs2/tz1Z5LcuE8on2bKJNhBKxbkvCVj34Ur/2LfwEAiJ97ERt16zTVq5Yw3Gu3Yd5h4frlZz6D4AOWJ+6dvo/VA7sNvblnodMPPPQInv78Z+3xkinOdexG4fj46K5C8LU2mCQp6rcEZQI3aeCFFNA8viNQDIJwdk5CYxbQSWg+jP/0Fdv++udXO0iYGLxkctzbsL9LpVGO7VpdFRpbhNdep6F5UATAmDDxRoADJgzqkY923xrP0zQSAgYNwrjzho8nU6un69LDKOSmnDD39aUefoKtOVtC4Abb6c4GMbYCq3xP5jZIiwMPZd/BYgGf0O3NTOCICdMJn6VAGRzT8NVDWRGe13KDIaduLdNAHk+m1dSiYjzGspsetLuHZRdYAWgZG7AcK04wkxIjfu9OLUTBzfSkyKq2QNfqdXx8WG3ohBCQ/szUPf/CC0jTuwHBdzJr0ZDSQFcklfqWjo2ZuBdLwCVORFiR0P/TG30AwF9sNzFgsHBdlNii+dZGYzAkgbKQWKMzHDOIW9MewrF1+mkrQMb74vkGZwiLdokAXxkc0ekfQOGAeZJHdIgjNx2PCct6q4ZfJgl4R2sEDP5qwkPLbSyZCNWxB31ik0hSAZK6tJxJaOr8CckxH77vAXgbNtkQHS1h+9olAEC71kDKc19lK+5BN8DONQtzDmFQ40YhnU4haXdXWk34fC7rZ07PfrpBGY0YnffbTUXw3X8fW0yqtJiUfvWVVzBgsrVejzAlGX2YR3evzYwihICZa4k1RqPIZ21kbiKsrIYciCr5AlMCtBsQNbikxT+7au/zNwIoY7vAiacRu0mWEhhRXxIhEfCZSriXWIcPNbLvlzJGynugfY3TJLhVgWsDMhgxWLlqCmj6r0dFhGHDvp5Rn1pBiE8W9ntrgUHI9qG4NNgnSX3IlspjIVCesD1AA4ITRs1RijGHMHjcsC0B2HM23Nc4TwqCB+Fh4PF7J/bnURjgmMnb30SJd3AIAYSPlDZmJS+R0ffWGSu0zpxGs25174mnn8aNn/lZAMAoS2dUCdRBYwzS1CW0RBXOlGVuAzzzpVqcf7fC4mDVHj2nu3OUDka7+Mh9BoARgCGNuxdVr3//tj3XPyY1NBPSA6kRu0S00ci4UTOBjzYD5iPq0lmEyGhD2t06RtTXKATaEyYImKCQhYJkoisTCq/T35wphR17BQAckrIkfXyBOuOHBqc6Vs97JaDpK69z7+vFHspj2iYNKBY6G8MCHo895PWuZwYP0i4cmBLXlbUL54MAn2Oh6B5SSVxNEzS4SVnaOgOPCStMUhjGU6IsgPPn7eu0R7VeD69dssmv/n0XkbIgmT8lZgmuqv1UY7590A2t0HexpZoHxhsHq7xZ+/T8J+ZbZecSZUICfLb++Wu26PXNSw0bawLYNxoN6pOQNnkEAEp4EEwq5qRY2KyFEK5tVgbIqeMyAFbYmgY30EmjKvCOhMYl6tPZ0kNed9lMJjJkgCe4YdQxELq26xJYYVx/JbDv1yIP5WHfnoMGcvo6nGTQjPsT6tOW8TBxE319UZ2vOj7G6y/b4QRvefd77WeUwoW32eRWmGUYPfU0AKBcW8a9H/sqex+efR5ridWRm99vY/O8UUfJ+Kf2jrfi0sDq4c39PbjneH3Dtubvbl+vYhQhBOosRHc6XcAAeX4XCoQ0SRtrG0hZgEzTGS2A9ASylMXOKjHvzwo6MDM/B6/qX/7fLtvP/IFYwqNP2C4VAj5DoRBIuL6QPgwLEprLdaEeIuP7JqgD3NNttCLsn1ibddb5mtIgo78ZewYvUbUf0gEOayxuUi9X6g38piadRwAYR0ET+NXkzj6TpoEvURyTYB4GJadV1cYKOc9nwgVb1x5cGlAIA6o2ZGEwod9tM97LV1bgp64dtEDzHjsdtqE1JBN927/5JBrunvC15MpVtN/5dgDA1Z2bMKSCyLTC5cuXcbu4vVM6nVbJyjzL5+zXGz7yuxJjDIqigCpmhYA8nVTDX2q1GjI3+dTdIF2gKFyMLqr71m7WccR90w+yIPy1pa5a0welgsfYxxOm0hUlPRTOLnFvv4kQghRGkAFKNzE6BNos0oExUygMhrSNA2gk1KuHdIDUFaapS7EfY4/HqkUSYCxdCoF1p0vUrzD0kBzbPZWAgWLxJhgUSPlYDbj/WNISAxaPvEBUIUNNCKS0jR365+7b344uwS3jvQNcvGCT7k2lMLhp9/ev7+zgwrnz9hgElIT334cx6R7Gq0t4pWuTytPXnqtiE8kp6tYWzCkL951am9+RLi1aFxeykIUsZCELWchCFrKQhSxkIQtZyEIW8ntCvkwRXXMIrTeV26tJomovM0ZBVJUoA9myCJv732IrFz8uBT58nSOuewHUMdELgURK0s8WPGh+B6cF41kvwzKrlV5Rw1WPbYyZqaru22yv2vY0xjWbLd1CiIwVmJdNgS2OoxYEnDy3U+DrOQ43FALbzAp7vkRHE73FlqLRaArBlp9pXkBxVu1AFVhl1WmHrRFh/wR1jrvOshIlR65Hwxxdtn7ItoUY3uz30WFmu7m5BZzYtoXrr7+OrRpbF2/sICM8OnLtk6c2IJhZL6MIAaGLjw6OMOL4dcHq2ld99cfxzBeetNfmechJCBv4Pt75QUti/1M/+aO402KMRp5lMLqs4K1+4NmqAwCjRZUxjtgimqbpLdljU/1DQfr2/t//Tlsh++VWiD+3bXV1vwZMSKDbiX3krupQFNikfh5SV8axhzaJvrXyEbEFYjUpsUbEwYtss4oCD4d1ew5rkYd8YBEnphmjztYLj0iLn7l5gncwIz8OIhxxNHGel2gSpfgQdehz/SOErFilIXCK5N6DNMeA1zzhvVHCQEiXZReIOAZd5Tl8ju4tiEaSWVFVMVuFhubwgokpsOnQD+sryIis6TKrP7hytRphXx4coUfk0h+uN/AvSVS4u3OTayHhKs6+71colz/13/xpfPKXfwlXrryx+nTnZA6BMweFNubNmj1EdZ64ZVy7huYze/+a/fkvVkP8geusQNaDaqx0HopqBHUyzSpERo+ExYOmwJADCHThYcqq8oOpwNSROLOalMRAwmpJPQMMK4CHgUaNpU7J4RjPFgW+0pGW1wyukNzznrBWPfcstGOUT5CzCl5KBTEleSWAkqY8J3HnpVdfwr0btkJ0vLOHfkqyVpNhhWiKlVMWmZUO+siGfQBAp7sCRZLn1+IAFwiMkcbAZzURsUW0ps+/gIjoLg0Dj8/fH3/nu/ArCZ8fVkp7vSUMSZLbW15GzNan47s4JKOS2yCAxswqWJ6U1aAMB9/O83yuY39On1QOyef6oYftz08hwrdcs+v0fCxR0g8FgYSkDvlFCXbFIjMO0SowGdi1DvISNSJL7890hXxxmKQslphwXTtKQpJ4deiJCoYfUheeKXN8hET5cSCwS6TXigwQsK1rNCEpvadQsGVogBQRW2yjThOGFXtNX5cLBcVKp9FAn37TeDWs0bYMHdn9yjIC5wuvXceLtEd5p4WLKf3A5hau087UHnsrAGAKg4TVy7bSeJDokT9da+F7hgeYF8/34dHOn754Gq+TjN62otwtJA5hE7fok5n9e46wV4gZQnm+vQzSDfQxkF1ry996r71XvxQKfOt1+7kjT1Rt6rVAouTv2hRoU5fOEJGJALYPEcCkKHHM909PNIYOkUBfkUfAkGS8QWYQcrBBP5bwWfX2OTzjiTTBB9qO8N/HIYccXAxinEgib3iZR9kYBavfpadQcxV2X2Ls2T9y7Yp7ngaoPzEE7mer/OWTAab0nwe0y+Mix3s4JGVpewfiXe+0x1vqYpmtifrguGrBN2etPTq8cRPxWUsbkW/v4jSHCv2xpRV8//71ag2s3BrrOpsV12vIHGqwQr7cYZmzRW/yJuaR7pXc8ve6+lOHuD67buPxXzlbxx/Yse8fegLZZBabhfR1qdIIqKsNPk9xKDCmrwtLz/adAzg7VUjo95RDVcWyarVeNyEkg/njWCB2JNK0N18sUry7a+2NNhoHI3s+PT/ClH6vQ/TebjaGJlqiLBRi+i8jBca0Mw75f2RKtPnsqbxEyc898OEPYa1l2xQnNy0CYnh8ghf+oyUKL597GZHvHqZNFGyV7GY5MuqRP7Vx1Uqa4Yi+qg6J1g3bNvYtp7bwr4nQ2t3Z5prM1sr3PCRsKT08OED/5ASluvNoUyEkwjACDCqSaSFlRS+xtrqK4yOLgJyy3UrIEILQLdteOUM4xqTmuP8h+jnp4Zt37Nrs+x4U0buq7sNnm16u82rsRsMh/kIfe8f22VtTGprrtDlS1dCj64r7sbpfdTeERmDI/cOwGaJOpGDJFtaXVIZ3suUNwuCALYa1QmLCVsg6l/bQm8IQVaolEHFPFwcethVjOjcQTRVoc0vva4E6/VhappgQ6RrQhtc8D/HWij2FZ16EPGfvSePjH8P0e/6Z/ZvBAFPa3ogE9DovkO/ZtbjnzFmo5+ye7juWVvF9ey72nokmMicvTdWO3e3Ohn3daW8nhUS9FmOsihkyWUg0iUz0/LDaj2fZDFXtc+9alKYiZJ9OJkjZpXShYd9/9qFOlR84Dn0UtEum5lXId5Vr1J19ZtxZCyVGQ2eXNDzqxOpEVd1dmjYnibzKLtUKgTr940kEhPycz/jiC+UED62ScqIssZuQnsKLcSC412Tss52OIYgI1KVGRP9pPIGh6yThOYyNmWFvNRByP5eXOfzbWmYf/sqP4uj6DQBA/dwZRKSy2G23EXPIyOmdXTzDgU/v3rL2KU4TGPpMLy8QvmLjoD/X7OEfMWZyQ+mMMSi5P7cn5dDA+B3Jl2WiS8AmespbuC+cU51/dGT1XtVbLn1I3qT7HngEvZ592N/u2Y3yY4cZPpbbRf30SOEZNygxEOgm9hgRSpQ8npuOGNVDKG7087JAwKTAZWOwyillLWIiP1ZvVuc2aEkEbkpU5GOPQUm/ZhXkA+0mXprYhEbHD/Diw+QwSDS2CbfP+TMyAituTFAzxFt6NlEVFhKjwBq9izyHuhegzk3sjbrAIRMpN8sB3s4ednVgnV/WbsII+/5ukSFmH/mpj3wYx+QiMS+/gohtQ3j6OXtegwGmfIDK0RgvckP0L195Ge987G0AgKtMOPzar/8aHn+v5RZ4/rlncZnBf7fXQxzdPY4uKwbFnC5FYVS1QPlhUMWUmZsUJwS0Cx5vmVxloDNrwP+Asuv/oesFkPJ3EeKzseM/KhC4ZJoq8aq2RvBBPtgr9RpeyOzmeqMo0OemsB/4FR/P+5o2ETSUCvs0gLLbRJ39+HK5jTo3wC/TCV+MA7zA61ju1PF5ti690/NwdGyPF44tvPW85wFuMksYok+nHkhRTa6KqcdLGjBs2RhGBoJQ4Fo9xJh9jCnb6/ptDy1OxHpyMoEZ2mcvOr2FlJwIZzptrLpJO47PQmtM6CDrcYSf3bfG8F9Nh2/MIAlRQZOFlHjowfsBAD/+o/8exyd92yZ0l8Q2m7nGH1HZ5DiqVy2v7vhmfuNpyhnXBDQCwsU/XrPJnQ/vATW3+Y88/KKx77dKiRadSxMGAR3nlIGgXwurZJEsShgmdXY8H5FTY2KXezUPIW1ovuSjPGDGvRbAn5swCwDv6rRwJbGB8OnAx3bP2o31OMQhg5qC7YoiV6i5ALMZYIU8B7snKZbcJqVOu7J1Ab2m3SDud7rYJF/fube8DS3qs2l0AQAbgwGuv3oFAHA1DnD+Ky1f13q3h6uc7Dn63Odx36Z1rv2nnwIAdN/zHtz4FcsZWGs18U9++F8BAP7X7RtosV3twx/+oD2WUrh61fZxT0aj6v3pZIyU13m35NaEqP2/a09SRTFLsbtW6lvyGApQXD+vBk3ded/Q+ogHhgUCpxfSYJfPsl8q1KlPbWMQUV8CN0ks9qsE+ZYBEm4Wpp5fud86n/nACASOb2I5xHSPXEiRRI+J78sFuW8aNRy58YhZgUsbVh/uaTThTe11TNje9erxGHUGSWHDqyZl7Y0nKHnu72USouX7uCTp00KNgnyIT43HuMBpxEFojxV5Gj718Mr5CJnvOCsyjDdtyz5+80k8tmTjBteaceWZ59A6a6d4NsMI/zaxtvR/nQ4Q0PcqtynyQyyv2E3s3t4uWgzCh4P+74hv4ncn8/4K1aQ4YzBrZZzPT2jXKicxH2Ppvl3HDysbY1zYVfAZkItQ4wbXsQlZ0QK0oTGk74od90bNQ0A+0qIsKu7HURAhpU8Ocru2q0JCM5YSvRDa2aa6DzDRdUi78v5eGy+NrK6cinw807LXFrfr0DknZrONIx1O4bOAGNQDhEy6BKEPn+eekpYiLoAt6pquS8RU+JNaiILFzTr9jl/z8AQnVz1xehPvOGP15+z992PvnvP2Oz73BZxiYQps/dxJpwi5WT999ix+/tOfAQD84Mk+hOMMu2WC7620CwBjlTvcFvSmMu+/xK26NRO2HRox83dCYBafKzTYnvmRhvUt9+0XUEyKIxbYoRp2pETEjVYDGpI+qUk9DushprlLhCkIHiMNvKrg5op+DcjqFILlCBEnpZlaUHGbHvJ8Hu618frEPtObUYxrLep3s4acPKapa4XPSnjcAAeNAIH7LmEQ8/Jd3HQuiOHFTd6lHKeYGL32G5/CZRZNS8ZlaHdQZpbPrvHed+ISW4BWlpbwOU5P/ODXfy3GX3jGXgf1adyoYV9ZW/jRCxfwT//DzwEAfqR/VCXc3br5gQ8zxzvp1kuVJfQch9adFNuOn6HfV2ix6Dnsn7ihgRiNhlXSy52PViW8io5CVucP4SHlM/dVqgsAuLevKltSRgIHpbsmg4D2qAMDw0CtxbUJGiEGLvlZFGiRV3gYBfB4ix7y7D0+KfOKPqBse1ilXz0yGnX6T0U7/1C3hctTGzetRj52qfvLrRr6mX09I72IyBRkZZt81Fh4PslKNKn7BSfwnZYBBi7GavkVvU49CiBpmwpmUNJ8iHDEpNjHvgI+fddnX3oBF/6vfwYAkPx/fwRL25Zi5vg1ux9rP/oQpivW5uubN/HvrtvE+/ftuUTpTIQQlXkIfI/6Y5Om+i7ZpmrqojYVt7NSquJZvv/+B3BCoIZLbmlVosi5r2h0kDCZurm8ihPuzT/I8eEruxnGvK8TX1T7sk5pqimXbWOqSY9tz9mloOI+y0uNQFudKAIfZBhCSLtUh1e1T4puiJhTFVUcWF4JAAljigtLLbzCZPRSEGFEXzpux0hKcrsN2a6Yl1X7ZNQIUOf9OUgM6nx+SupSWwMp/XkWoZqAHYc+BFshXQ7k87/4M0gZU2a+j+4Ddq/1lrc9isGzNhFaD3y8g7bmgEmx5U4X6ZqNo6ZHB/jZS1bH/tHwCO55dnu4KIorbsU3cD9+yWLLTBatiwtZyEIWspCFLGQhC1nIQhaykIUsZCEL+T0hX5aILgNAlarK0mmoN53/4oaHSOmjnCPndK1mx4d76JMo9dtZxTjTruF6h+z+pcJS5mD1BTxmDofSICTqyU3oGHp+BWl/LKgjZdWvVyrkzPSvs8rZLzWukXR33QTI+P5DicSxaxsgueLJZIo+YYqd+2J8G0nzB77G7sD+npPUfBR4CHhtzVLjEuzrX+k1KrLpKasZvpRQPO7aqIDkzbquNAaseLrJIuXJMepLtpUoWFpC96GH7Dnu7WP59Ja9l9Mp8OIr9vV3W4h+2GoiJKR6x1zDJ79g0RT9JMe1X/4VAIBYYnvk9auYsmImPIn3f8i2K3Y6XTzw8KO4W6K1RpokqDebs0kXjUaFmhBAVQ3IeF9sBvlNoJNGIIgs+uajNwhBXomraT/GAG9nn9aJMthlBb3te7ik2U5G6PphQ2KpsFn7FwZTlL5r2SiqVq/7WJ0x9QhLHDKwX3ooWRVr709Qss1xldNDpedhwlbX/bbBHzywmfipn1ftW0esPBSxAGcjoJkaDPlclBOFBqtpTVY09rMEiuakLn0oZv3TwiBhdatGHRQmxLBBmO9Yo+PaZoIQSd/e6+n+MY6a9l4uER25Ns3gsaL/eWg8v24Jy3FpiK+4/wEAQMiJHq/t30TEaz/cP8ALz9vKgtaaa3b3yt0GqPSiUatV01+0MVjb2AAAbN9gC4rAXPuQV0FypQwQknj5rTfY/tsLEa6xVdhIfIi2Yq9UGBIt0hcagmuzQR1OmiE8VqaScYYprz0sShSshG8QsTAWIRQRdMUwA9USq8cFjolYjWr2uw48ibFrmbsY46PX7fObT3OcsAIrWWHUoayqRvXM4IjIxl4YoMa2ScGW53OPPlxNNoxlhJStaFle4KEPfhgA8OxP/TTvqUbvjK1yt5ZX0CYStixLrN1nCVbjnR0svdsOwsguX7MX9LO/gNP32ClB03SKKQlW5d423kpU5Y3nLRnwk88+4zpg4HseSragSynfrBf1zsptHUraGGhWp/0gqCb6zU7jNlSF8ydCIlq2KKK3HNnXgkjgpEMSd5VjlX/bz5Xj3cVAAAmh75xFgDz2EJBg2cs9PE7E4a+M+xhxGu06q6IJAgh+/vh4yuEdwIWhgkcdaTqiYK2Rsup34WIbH9m3/q1MTiCoiB22fzR8CcUWs3YuMbKABTSjGCsbXQCAatmf4bUbCOjftkSAHZ5Dp9nGqGvRgmsk3y98D+Nx396ftQ10OKXz6Oq1ytd7K8u4ymdrY8jBBJ6PR161z/QXxyf4/r5tFYrjGJ94m9WtZ1ixfHX7BrY57bnIMxiHmgIs2vJutZoBt7QowshbETaVrrkYpPofADFDfHkRIt63s9tsd10KcEC7Ycocp9hiOCo0BGOOgWeQ8Vl3CMStdhMh/ZgaG7SIkNd5UbV0NBM3aCMAC87QgxIFEavnDlKkrHQTmIfBNENOBM/4VIT33OwDAKKixIixXkz0eycOMGEMVc8Nphx23MkN6tTNiH4u0wo1IjCMKjHig3LWj/ACkT0Z9evi1mlo2tWDGzvY+cEfBgD4X/UxtC6eAwCsnDmNw8C2Aq1MrH49vryOE6LNfn33On6SKHE/jPE+Iu9fJCLkoLgVUWoqqIT5HVW6f3dC5ELVNXYbYXAl1Iu5sMnqEhGA0kfBxrF7Tjg8ZynAmJPFhC6wwZhlmiv4ROFMYBC6VlZnH2s+6gVRDaOsageSpUZGG77M9q9chhCEpstxAYIssHaUo8919ZvWB/eTFBn7V82ZOt6+07fHVQrb9O+COqQCUbV+N3KDSZNoKQnErtWcqLN6KDFlbJfVl1AUVgeiWh0nRIWlfA56vsTJgUVuDesxvvoP/0EAwNGVaxjxHD79Ez+JNnXk9Ia1XfdcuIh72PXx5C/+Ml7ZtDFIMBnhHtpVQRu+Mx1UCHRtDEIiKmwMc7ecnKWWybIMBakpllZWMSTReaPZxJT6nmUOiW8qsnrb/2zPTXo+eiTWX9mlLjUlxh0iQ4zGGtFNRhuEXKex0NWUZWf/0lBgmdM+L59McJFoe08Z7NPP9TgwahL68J0uphoeW6EbQ4UxieULC9LEcRKgJOJZrtbwyD5R7/0hMsYWoG3S3oz+oV4CadOR8RvUK3J3Er6LAoI2OMxN1QkhIDAiIqfBlss8LZC6QZV7e5CMu4Xv4ypjuvs//EFc/vlfAABc5P6veOUK4tesn/v05AQ/zyEB0vPwzmYXAHCFHUgHZYa1Nfs5rQxGpJgwUsyQwndYDAwU0X4+0U2eP2ux3j84qGhxyrn9XEj0Y5am8IiaPR6OoIgKX2fru9cQSDnZMtAlll33RKnRpl1KYBBHs24yAMhqHlrK3vDROIfk5wqlq/3cMjvGck9Uk0+zYY6Y9qF3nFe2YMp45yQJoUgpUdto4B7qUpAkGHGSqk8kvwzknC4JZDVHgWEq1GnmBnYYwBDN7hcG7qnzBFDwmWlxyNpoMkanaU/IXzmFVe7pv/gffwFnzl8AAGzecwGXX3gZANDh+4PXLuHed70HAPDEz/9H/DBbccM4xifuexAAcJ2Dn566zNzCm4hDhDvE/JvJAtG1kIUsZCELWchCFrKQhSxkIQtZyEIWspDfE/JliegCbOZ2jo7nNs5em4mskTQ4CMKKgynJiqqv3xiNr1uyWdZzJyQYVQV2SAJ9T+FjmdW5/SyviCJ3PA2fVYFVjio/LoqKxPY4yXHGs8iCwvORsHr5KZLDeaWGItvg+HiKbMVWU573BCKOLnXjoQOV4cOn7Xe9DoNnCptBXx8UiFjRTFklnYwTjEiuq8MQh8xcXxUh1pilbziegpMxjlh1mNQ89FjR9moxPN7ZJVZXjAiRssKoDw6QfOEL9v4KH4p8PcueD7z1EXv7HefElasAM+IvPvl5hFu20tJbWkNE/qXDIYlYjUUoAEAyneBXP/lLAICv/trfh6tXicK4C2IMoLSCFEDODH//+KQahQsBpCQt1Lwf84SqUohb+Ji+416LcDtLgslertDv2jVdmuiqWt8tDfr8midVipj38RkOPLhfB0hb9rV3ZzV8Ttn1GRmNNkuPN2O7fi3h4dANGTga4rWm/Vx3s4eQfej71IV0OsHbNmwm/opROOIIWf94gpdY6Z7yOjdHwNSNudUKJUsP0iuxxwrRmSCurr1NbsciMPBY/ZS+hCS6Czk5A+aIhPelRFyz53PP8RgvkMY6FBKaAxDCdVuZLIMcOfXmCkrUiLB42yOPYpkj45/a2+EaSRweWFTF0fHRXKUbd5e7xJLdVOTnaZZVfeaeJ7GzbZEcjqRTvOGzVqQAvnXN2oVzhUPHFZDkx1udKJR8/hulwYtENGwLDT5GONe2dmOiCoSsTIbTAm45SiGqquhzhO4JT1fVpPZA4ahjbejVhkSDtilzHB55gXes2vf38hwD6rY4SRyVAMauKjTKMXbgEQjwZYShhwY5HzzPftfkyiWcfr/lx7p+5TLeumn5I4ILF3H5i08DAN7y7d8OAHjxR38SEatJYm0VhiihU36AA/KgBc0mrv78L9p78h1/xB547wB4q0WKRkdH+Gra8U9fu4bwwHK//eZzX+S6aNRY8VaqrJASEvMQhbshVpcghOMIhdYaHiv2Qog5NMVt0C+ACMGguoZvPUPenyNry5dkgClRlqemXkUy2tMCJzR/J4FBRLhEj36x1BpR267V/t4IbWWVx5cCglXNq24MtmdAECa2EolBx57Dc20PIRV1FUTxTIZ4fJ3IAlVUKI3GMMXTtIsrrG5uDyY4Qx7FA1NAE5lg0hy+tt8R7Fl+kXqhcI726AQaESvP9cBDk2SzrXVrt/XeMQbHFklwOJngISK23nH2Ip7YttwSXc8HaJuywvqv1aUupkRp7w9O8ADRAc9MJti/YZ/5ayRU9iSQs9oahiHy3CGoNITRd5da6Ra0mJgbzT0jnzVuIAgAY96kFqoL/IENa1vu5/PWLg1S6tJ6JisE5FQbjBif7AcaERFSK4Fdu6YvAfJEhtO80p8jzDhPXiH1Z+Cj4vM7nQCDruUzutoVqFE3M/Kn6DTBBpE0ozStkO7ROIHgeZ7QEHrDHIlyw4U0Stq3FgTGjN2OiJipZQotjpE/jiVO8/l6LRJY4fCPyWEfACBThbPk8BmfOoVWbpEQZ594EpcvX7Lnc+o0UpLGr7z7vQCAwWefwIjDL8bjAe6hn/tMniOmvz0g8oerNLc4s9/NXVUkAELaKNw4zZk/lzezi/No05nuGaPxCfq6e41dv0gKlPShS0qBoBhMtUZK5zH2BUKiVjbmbRN9XT7J4SjvjJBQ/McukQza0yh5Pp3UQ8FY9VJLIiAafOS4NLMUDyzZez/OMiTkiwmHGSRRiBmR+xhlyKjHqVIoGXN3Aw81/q2kzUsmCU49aOPm5tY6+kRs7V2/hrSwOrBCG+UpiW6D+42yxGd/7CcBAL2TEV48trHOuh+itklEE5HwR5evok2U8jPPfhED2h5pgBrt4u7UIkE8T97C91jQ7tqOj9t17c6IMQZ5kcPzvCruHo3GaLXa7g+q2NyJ9Hw0eS+G49kAFq0KfLxrr+k+DgkIIKpBGr1ypoNpqSsOxkMPCKhkda5RU2v0utbOXelPUSNyZihNNUhlyFh77AmM2CGzmQkUTfu5GzWBuM7uHyLTTTLFfUt2PdK8xIAoNTlNq84b4QYnjDNktINZoaAYm9cDDyUf8JKP1EGWYSOw90xBwRBJKxsRIiImyxOrU+udFSy1LSpXrK1BXbW2qf7sS7i0auMxE9VQ56CMgl0ZKvAwIPrrGnKc43Cgl7TCxqaN0z/3PIevCAGfscrJ6MRRC2N5qYf9g1sHtNxR4X1xcXdR5Gi37X0JgwBtdrw4u6u1qlD62gToMMaejCf4+jWS0ROhHsGHpC619Az5XtcGJYPeE1+BoFKscu2VMYjJHzke5xXHWypFtY5HDQ4tCABwCEpQCgQ9ez5524fHfeLIcTRmKc617TGKvMCI1xRkObTrlKA+5+MUCXUiKcqK77IR+Ej1rbo0ygp0HJ9bw4coZuvvYq2wcLyVElRb1NfWkA+sjj0Y1zHZtvux6ZkzuJ8dBeHZ8/aP3/NuYNfqQZJnuJ/38mkNdNjd8esjq2u+H0IyCJ63BQJ2fX87+bJNdFlxjhLVTZjncp1MSDBXF8hyN/lH4MFHrGNphBJvTfoAULVajboxDIOpdFzgDO/pq90Qy0waPBgInDBgdHFg5PtY8qx2Z/kUr7ANb6/mI+QTHrlgKpSQDJBUz4dHxalrgw6DmoyasxFJJAysspFCt0YHmZdo8NxaTG7V4hBn+L2P1Dt4OrVKEiwJ9PkQ9tj64QmBBonploMaDB/CricQHtnXM9fKslFDNGAizPMQferXedF1hJzciMEIeNG2ZhxvWoUepykkyap/YmkNP/ZrllT1v/v9vw9fTcK6f/DdfwuAJeJ1BKud3hJqdO6vv/46LtxzH+6aGIOyKFGWZTXxJazFKPkQJ9Mp3hC8zfl6bQxAksr7z57Ft/M+15hEPG5G6HFzd9A/QJdw9KurDZz2rQHb8Bq4Tif58gmnkagSb+VmIPEVzkv7HU0vxK+UdiMWMwi5KksMtD33oAZ4dJKD6QRrJI0+3evaU5dTDE/smoy9GQFnCINW7qbbOTJXIHA5jcwgoIGZtAM4Guzn6ThjI1DnM7gmI+S8D6k0CGlQR7TNka+wweAvkiEEAxIRejjFYGAjrKHN5ykd2/Mdjod4gQFt80/+SfzAd/4/AABv3d3HN3zkYwCATxLiGkUhJvycuVvMl28iAhoGBiEdUpJmUMYR0BdVet5Ngb2lZQgCkHbN713u4RvdZBbqXb8VYVDnOg9SLBHe/vku0OG9ukf66NMmXcu5GYoC1DgooJQCNTrtqzWvWn+P90gLYMjjTRoeBJ2wrzRqA3s/W5E9hweaNfR5DmWikARu4IdA4MjxHXmskfAZeNy3eRYpyUtH3RA32BrcLK1+tZY3ce2yDbwe/5pPYOf6ZQCAGhzjwpZt+Xn53/x7e2821zHatcHYxbe/vXKs+889i5zPwZneMnA/e5o++WsAgOnJMer32EEaX/dX/iqukbjzEd/HJ1btRuFXt22CPc/zCtp+cjiscgN+ECDmJn2a3PlpVGAizfN8aJdcFLL6XSlTFUaqlo5bM6dAZO3zQ/du4PdxelubAVC/7qPOYpAc5WiwzfSljo8lZirOBwKKeugm84RxCMFENaTENZKd9ushRu5lOmLlS2RuiEGkseQ2nlkOn20fR9SnLV8gYjt+wzTwOjNdzaUeUk40vMxArhHXUTttE6D161chhkzSdRp4hsTMv0+0qvvopk1tADjo2QD/+PgQy/RrV161rc2N0xs4v2xbopdXl/Hik3YScHNjC6c4FKWb5GhzOEt/ZAdphMtLeIoB1986GeDT0z4A4LFmAx/kpvYJbiDDMKomPs1PyRRCcmjO3bBXTJpCVtODS6Vnm1oxNxiDfviWNlijgci2odx/dg1f6doM3NTWRoCwPtOlHgePXO4F6HlOl4CcyYCE9mEShOhRJwLhIaC/GvqoWqxdG1jH8wAmkw7rs3Nvw0NwSCJw6nbsa5zQ4WgV4IQFHc+XCNjqs8L2ocPCYEu4icoaBe31QSwx4TFWG9b/XrywAW/P2ps4iCoS9fulwlvYaht4Nv5J+yOUgf3cW1aXIN9jk6mR8PHQo7Y1I3zoYYBBffoLtrh38uoreJbH/Z+u7+CZ1CZb37O8gk+cPg8A+I9fsEnTW2WWPBJC3EIqfvdkVmW+tWlaz/41l0ydfcwDWNi4sLKMD5CqQ3puc16DoD75NzI02X6zuxRWyc6mN2vPmjABUKuFjvUDoZQwjGn6kYBhA4vkeRRSVO1NQ8+rJvA1PQFxaG1ayRaklUAi6dv1neae7ZYDUBYSgkXN2CUejESHv6/pEHsDtj0txSh4Tx5kTNRpt3FMyg918wZoClGHwtuEvf7hyH6+LzNsrthkQnpwgo/86T9hr7ndQ/v5ZwEAD7//AwCL0jc++Sn7vb6P0ZrVyf/Q6uBXaK8/vL6Br6bf+iT9QJKMKwoLbXQ1bOPu2SWrHoHv22I3Wzvr9TqWGLPu7Ozido4ArSSGJJ2HABDYxNKDZ9bwMdovl3dELUDOhEO8O0KNMcurKyGWaZsa0CjZHrvLGF1LgXVHVi997ND3hI0YmZuqzdPqawXD+GYQimroQNeTwIl9fgvutpdDiSEHRiVFAeM6JksPNR5PUReNEZBMTjQNkBzbc0taAabUMT4yeOi++9Bs2ITOyY3XMXHPUhBC0NeGbU7yHA3Q2LV6cDj6LFocXFYXEiuk89mYFGgyUV/QX43GCV6gkv4UIvzajvW172g28fvf8lYAwE+/8Ey1Vts3bXFo49QpjIbWRvf7g1uHMN1hER6LaHPFwQHJ/Xu9Hi5dunLL38dxjNJl4WAw5n7unnPL+CBJ6mtMiAZxiLxh70ltJ0fESdWXegFWqbstL0DG2CWhbYjioKox1aQH4cJFKatW2cL9BODY6ONYwDDJFPsamsOd3CTPbiCRMmZKyhyKumS0hF+4Fl370zcSPp9nLzPVUJZ+08OUGTtDvVPGoODvDY2KcsBAoMdiy33C/sxCD49+4zcCAJof/hD2f8XanbV2B2A7PsZT4O3cx3/NV9uX/txfxPP9PgDgr6cFnqCOvr9Rx0cJivgR2ipV5lBzNAsNDnaYjgmq+W3krrUuCiH+hRBiXwjx3Jd4Xwgh/rEQ4jUhxDNCiHfcrXNZyEIWspCFLGQhC1nIQhaykIUsZCELWcjvfbmbiK4fBPBPAPzwl3j/EwDu43+PA/jf+PM/S6KIo+1PbeLqJQsLdzna6XSCiK0nvVa7gr59R5nh9IBQvwbRWJ6HnoM8Nj08Q4SJKjSitr1dSZajzop3TpLnpShEwcz7CQw8ErmHpUZChMxKOiOMHrA9SEQhYrag+QYYMNXroHuXTrfRJfFhY6CgmKX3JHCeKI4B2yg9ZXCabWCvtnyEtS4A4BglGkQ39AkR39hP4AnXw6RQsmqqPIn+ir2Xtb7N7C+PJhiSGDx+8hlMU5t5ba6tAa9ZtAXCEJNJ374+teewNJ7i3c/YPOfxyQHqRD/0cx//5CVL9Ly5ZavyUgqcPnMaADAcjlDkrAi/9ioO327J7e+GGABKaQwGQ6yTKLwsS4xLWwEIAh9F7kasz39yLkdMtMD/a7WDD7AadBzbqke01ILviuZLNRwT9ZRlBS5TQVtaYINtr0f8ylFe4ICZ841ao4IqjouiajHaJPnpTjPAiAgqHfgwLLMnWQGfMN1zHH39+qkIXR7DG6dISOBX80VFVDjh+zVlUPgOjqurkbmFNtWgh0aHSMCBqsYoF4VB5qpJQqAkqewK24MhPSgS7C4FERLlxvVKnG+xjQ0CY1aRwKx+A8DTf+o7AAD/w9/+LtRdlf2DX40/+6mfBwCkREQGgV/B7v9LikNsTaeOJFjMvYdb2l7ti+ZNyej/9moLjxA6fBSyDSIOcYZtq/sxcEQk6LIS8JtWB7M8R4/I0z6r4KnUGFJnYimq4QhxqZDRLqw6vTUakm0b8DwUvkPNGgzoLXoje49fP1XHMtGkndEUw6rtBFUVSrFSVDPA1oMWxekvtTEhkjYVAv66fe6UsyunzyDkmPXD/QMkfNZ0rnHz0CK2Ij5f/etXcfZ+24IYTFN0aafw3vcArDbi4gUkn7Zo0hrbOUpP4Idft5X0933T1+G/e+tbAAB/97//LvzFl37D/k3pECEFBn2L4hDSQ6PBltDJFOq/AGqiQt3YM6hGwhutKzv5prZJNiDoy/6KyHEv/ROINlTNBhr86mkrwCVeryoUoiYRLkUJz30f0TalbzBmebKAQZv25ltrPfzA0N7zHnVvaoC10N6v6ybHTbYm1w0wom5t0C9eX40hGrw2z0fCNv1sf4AltqkcDS2adXN5BQ3elzL0UCMa97Uyr0awH/O7ukPAxGw7mg6R8DpzIbDH9qC1h2y1MWrW0eut22uAwNmvskjRLz7xGVz07ShsMx6j4PmIntU335P4imc+x/s/IwIf1Zbx3VdeqV4HgKLIIPnczEPQiVXA3RHXZmuQOZ2ZQ+NAiMq+m4qNek7vhF+1Pf6ZSGGDpjnkvRZxjIgtmHnDn+lSXiLsUZfyAkOS3fqsaNdqAof83mUhEDi0qJb4grLr3xsT0W4Elogw8AMfU8ZYsjBIadPqU/u3r6yG6MmI7xfIaLuyQqHF80zcUALhVa0gO55Gnf58rEwVIdfY1rQJD1OHKApDvESkTDgaYnXL6lj3um0jC/0AU7a4rgpg3OJo96/+KmDX/g3+/U8AL79qXye6JFxdwjf96i/xvhuERODdQIC//IUncKvc2rboaDmk56FaPX23dApWfxyK7BbUz1xb9xxiOa6xbSgrUCMx9n/TjbDOVsCY9zau1dBkH824EWCX3RA6U/C79n4kRQGPCyQZhyMAJrzeEoBPJEKgDMa8Iy0iV1UjRI/7hlD6SKhPqtQwRHJ1iX7e6Taw5Fot8xQ5/VpdGPhEjaWM0+sQ6BLdsRcCY7YH1sQMQXa0Yn9uHGtE7F6Y1OsIpD3eKRGhX9q4p8tnqVmrY2mJwzPW13DlFz9Z3SvssRWs04NiTH7KIWgadWz9g78PACgcyhvAU7qGnxlbZLWjMBAANJ9HKT14PF+jNUqd426hugyAVquFgOvRPz5C/+SEb+o5BJD7mQOCcYrwKgTMn60BLaLUBG2CH0dY5hpkTR9H1I8g0/A63NPlGlOi3p1tqhsPfadXngdBf1WUJTjDALWR3SMFjRATomlKA4ykQ8YIaP5xgz7xoNNEj3G1yRIU1KUQgOG5G2cTjcCIz/ShD0jGdsITkGwnWic1yr1nz6Nw04NUioC+djTsIw2IOuR+trPSgxhbG3Sm2cKALfrY2sT5If3ueIITt0/lfjfyAnwbW/Gl0LajBcCg3sFf/qkf4xI5ezPDeB4fH1drWBQlbgtY7pgIIeB7PhrNFiaMwWv1etXGaOaOGzPOLcoChq2dwverKXbfbhK0GWP4vP4wjmZ2qRXgmNcqCwO/Zj83LQtI5zhoG+CjaoNXQiB0MbjW1f0KmYtIm2HlC+phWHV3TZWudGyVejJoN9FmeFZmKRQ3cb4xlU3MnV2SAhNe2zCUkLSN2RyDgd+2/rfVF4gdulADinrl+x6GfOwcpY831WiuWrQ3nnsByx0buxf7RwiIgsTrV6B++mfsvfo121XRXF7C1/yStWHTyaAa5nfSOI0/u2Nt2GxYjoQg4k0AVbdOs9WuOhzGo/8KZPTGmF8FcPxb/Mk3AvhhY+UJAF0hxKm7dT4LWchCFrKQhSxkIQtZyEIWspCFLGQhC/m9Lf81Obq2AFyf+/cNvrZz+x8KIf5bAP+t+7eUHrTWVdW01Wqh1bZZxDzL0CJB3pAVDQAoMpsBTGtN9Eiku3WjD98hMFjl7HgGIblojmKBdSb0SwH0OeY6DAV8ktsfsyooSoWIWeP7EWKPKKta5Fd93K7fuRYCDxtyTcgAI37vFBqnavb14oy9hmaaY8A+17oJoFixXB6X+CLnvS/ldhlHPjDW9v3NFDgmkebNIq2I4M7xXHbWY5waOhSQQDAl2Xk7RsEqbc77VIwSHPF6u2GMpbqt0CPNKrQNFNAgjw1IRvd0NsX6ss30Xr95FTn7bj//9JNonraVqZwk6mfOnat41pZXVvDi8xYJJoTApde/9GjR/xy5XZ88z4MqFabkdAujCB4rcnmevwnHhEFVefcinLv3LADgo8MUKfXpiIi8e0IP5R574es+dlg5adbiquL6mi5wDxE3ZsX22OfTAiU5KoreCo52ba/7CAqSqJ4hCcRr0sMpoi0GwqDs2+vwpMGyZ3V5esauWScvkfI6lv0YHrl2upMUO0RxBBN7vUeRQsSKxMSUiF1VQ6EiFm8QSdZflpgmrHrXZUVemAceBBGLo5i8LJMcY2bvQ1WgRySYrMVIuAadIESN42tzR8ZbZPhf/uE/BgD0ekv44PvfDwA4feos5K/ZMciCOuR5fsWrpLVCMp1VMu+k3K5LgISUolIVYxw3DgAh5xAU84hAx9cV4cKWRZOcn5RIqGM5q1BnG8toH9rrOG5EWB/ZtVUeUBApkQQCHnXPcT8EUqLJdRJlhgNHdCo8uAJgSdTAcuAjYCXoJBQw1UAKUZVF7nvM8oQkZYETVlaEEgC5RMJRjn7D2rGYRZZh3cAjf1Z9eIRVElJ2pMCVy68BAFLfKvQTz30eD5x7wB7XM2gtWSRN3G3j5NhWrh0K1vO6OGH1a73VgOI6e1ICf+qP24P/sx9EjaSoeJftkC9+6F/jr/0Nyw947uwGfCIJ7nn0ATx12doeNxyjWa+jdKTEWiMin0mapncc0fUGfbodAQhUhL1ZWZIkGLehNvh73MK9D1n7++DJGIFwmCFWmCOJbLsPADiueWjRBqUSOJo6DiYBn/7JoftQ6opvLdICEyIhfrwcohU6/ieSPIcB0oTPtO/DFPS3psSFJu0bkTCdLMflfXs+MEP45Le4169he0quBoI090IfJdenYUQ13KGpDMbU9efI33BSj1AjT9aNwKBzaHGztXqEGxx5nu7ZKrV3GMBct3p6/9YZjOn3es0mPFbTO40mMj7HDRKiP3l8jHpo7dU0nyCI7O/SfxMQJ+Zf1HAPloCAEd5thPH/+fIGXTL6Vrtj/8id1Nx4nzdW5EVtGRfOW126dzJF3VWR+aetSEL07f0ehLLSpUlpsDOw69+s++jwA1NWtJWZ8auuKw996mgmgPtjouYcH1oAROSiExBoOtSYsMgaAJictfe9pxQM/zYQPgIic8xRgp229Qs9xk3ThudoUiCLFBnXvG4EpkR3Dckp9tTRNayv2HpsJ5KoH9harhQKN0kCPqb9rQ+nuHnaolXPXLwH6tAiVG5euoStD3zAHrDXrWxS+tnPAgBeOjhA6NtnI1dTRLG9ps2lFWwf3uDKOAcD4BbUMHmiigK4w+ibN/o6d9AvgRiraJVmqME0JdJZxuiRIPpcmiPmApREd4eRhNq1ceSk5qPF7oJSASe0TTIAarRNpUNuGYMW7YJSKQaMz0uBiqcP5GJaDkMEtDG+kBAOIQqDLX5HeaELAMiKAge0J9J48Inyj/oZBiSD9qb2e09CQBA1qLVCPXb8qW1MuA9J1uyzdFkcokn7mAZ1FD2rL97oCCH5SA255PpHQ+wxbtqqt7CyZf3w8VPPYOuRh3hfPXgk1cdHPwwAePJv/i1srFrewevbV+ER6Zjn0zliZ4fYCKG4BtLzkGczbl7P92HuEEr+dl3SqsRwOESvR17S9TXs7uzM/729F+aN/hBhDefP2Bjh1DhD5LiOqJZLjRDm0K5dP/TQpr5qJTEgT7EMgA4Rz4q8b13Pr/zraeljn9c+gkZAH9MkX9NyGMBwD+nXQ0yIkEu1wgUiqNOz1ldMkxQ7I0eELlB3HEr9HOM2B3Mk9vuv+AZR6oYD6Or5bhqBjPG4QzO/cOUZLF2w3H/b0z62zlmU8ihLIMl/esxOinbu45D3aTkMUaOtHF+7joBdQS1jKkSNG8T1+TJHyE6ivJxCMq4anvQxnbpeEMoc/2wURhj/DvmU/lPldl0qyxLj8bhC5G+dPl0Nd/N9D8OBtcMeY5i0TAHGB7Kzgq1V63e2xgNERNs5YF8j9pAf2euYRB7q7v6oWX5A+EBE9J4JnJ8zaDje3jKtuL2VMAgYz3nUpaUgQEEeySgylV5NlMaD5GQ15+1+7ijPsT2x992HD39srzkYZBjTLpmE+zlp4DtUXVnA574rMBIFdYlbA4w7EglNg/EEvNLZM40Odf8acxxymmLnu78bAPCRP/JHMbh0FQBQX+5h5QGrjzg8AS5eAABk7PL64mSEkPHIWOUIifzPy7waHFIyP+D7Acq5wRjOHqRJgia7ln4r+bIgozfGfB+A7wMAKaUJggBZllZTFWtxjDGn1EjPR1neGij6fliRm4dRHX9SWUVtNWNkDLwcUWBeltjNrXHHWKFgskFnGWK3f/B9nBCSlzOgk16JC6vWwcT9ERoOag0NzUU5ZgJpUwETQlvbucIxJ1Q1jMSAnwMJ5pSZtRKoskTMCQpX/dkmp+9Z5f6WxiqYdsKOKbE3IHTZ13jy2JKXilXrSOtxiN3IPkD3hXU0x1aJxDTBMXfIzlmflTV4F20yJ9w9QJNkrFAK4MYGtahipjXcjfyh11+DC5o7nTbcPCnVDDDiJv2+++4FAFy5cgU5oZCra2t4+FHbjvTic8/N2nPukMzrkxDSzBPyAjY48XhvHSm9fd85Wa/aMAg/xveuWQcWj0sM+DA2HQxeztr84uMpNtesjuwfTbFEo3V6pY5LJNYsaHB7TR9xxz74w0mBmIbm/qCJXZLUf0HZDdtKYeAzQdqExD5b3ZaEh4KJqmRkHdxEaeQMZEoRYHOlCwDYnR4gY76lT+y2N0FFqhnCwv8BAAEQ0SIG3PzVQh+ZpEGGAUMtqEJhzOv3uKH5yFDiNQZvvhDYDPmMSQ8BjZaYJjiZkMSTLQ7flk2RJlan/ULiVz/9aft+8asziCt/pmmCtXWbNNrn9DUAkJ7EysoKDg/vzNSXW3VJGEDA6Nu3GGL2U9z2khEQDN4MgL9GKP2NtMSYz85bHPEiFEZMj66MFHK3YZsq7NMT13yJEzf0wtkmXSJatiuSiDHahPEfoqwSg7sM7tZyBceTH+clUiaUusLDCnX+gFNVFVBt+LOigE84fhL5MLSnfT4PWybCcs3q8zhNMN22LRNiawvNTWuTmmwrrG1sQa5Yex0VJZosXBzcvIFT7363/Y5rdsN39sG3Aw/blkg0GvB++ufs75/4GOBajs9vAYXVBfyIhdev//SPVRtspVL8+E/Y13d3tquNW4cQ7OlkhJQJtNX1dfRPrP3LizvfGnu7bXIE4k6jpBTVlBkhZBXAVcNY4AMkCZW1GH+HkwB7rRp2uamJIkfmLGEYtPgnKcqW/ZyeJgjphur1AFO2tToiZakKNKlPKcbwU3sfgl69SoCfsFUizBTciE2d5RjTTtXhIebtu8lWCS0kaBZQV7qC1uenNlDctFB2zdYetX9c2YqDbhdtPk/bh/soaafvZRsMpMRzbKuvBRF6nKB3eHIMnxOmrt2wNbf3T318emTX9yh+Bt/0VpuEGExSRJHV37qUGJGE/GLXfv7ML/8iJBwhdly1TO2PT6qiSTUlbDSs1s0G2CxywNzR3MQbdOn2JNe8CFTnMSvoSEA4pmSJv85RUcvNGvrcRAi2a3gCCOgTOqMcKakgimmKkslNIWVF4+AifVkqeF1OpsIUDb59XRdocLBO6tp18qxqKVN5hpKtJ1Jr5DyflNG5MgZuC9+GhkfblNZCGD4rx9Iq4GruVwm7CBI9rtdEokruF9SpZq+HvrTffHaiqoFAzyYT+LRju/RXS1eP4T1qg/tCKawxWWaiGopfsoS9wYsv43DNbtKXmNj4mme+CI+bCGiBESdTPzkZziW4bm/lAqzvmX/9zrYHvcHXvWmCa87B3U44Pf9PL8J3tq2j6cgQAxYMPLZ5CZhq8lw0SKFaVp/0NK8mMIaBj4wJTDeELNUFGiv2OdUAagztlJjdjylj6DBXCBl7l1mOgs90aEQVNx0wTk20rvSpCQ1Ju6nqEQyTaRmfj80yxBrPfVcXGNIPycEJhmwFbHBYVe77qJ8hEbiMEIxsfHM4STE5xUTWK3bI0wfWL6Bx7jwA4NoXn0P3808DAB740AcxcW36RYHhno31D/+D9YXf+urLyJlggwEM2fp3JkdwCu456gutq2UriwwCs9fthPE7Y6DmdcnzfFOvNyCkwOERKQLEXNvSG1piYX2cZ58zEdXxN6gU7TDGsSb5v7MVRiFhHF9PTeWDTKGrITxBEGCfg0ncVNZ+lqPLacyeMuhy6mJmDDTX95A/T5UabdqpvFTw2YJdMxoZi9BHBCwkRQl2SSKGqXy3qYfV5SX0c81U2CEcAA61gmYCoFAGBWPBXSY/G8Zg+Kolgt9YP4eCcYoaJcio8y6Ef7ffwcuejePy/SNscE+hvQDCTa71PKRMhrkd9R8bDaCKabUumrHIts4wF9SiEtfCPxrM7IH0cSdt0+35Aen50Fqjzfjt8OAQJf1tMp3OtekyGSXqkNyD+I06/u8lC3P1GEfOsNANtrWqkkH+MEVGXcqyAoHbKwU+ErYWli5BZAo0OYmzNAKCr+ceoFytknGZKnVl+3SaQzMGbwmBnHbpmAXmqVJwu+PAqOpzphFBO7skSX2U2dgFAI6NrHRBaVPRYwQs+LZkgJzDpYJCou5ALMZUtE0dPg8PTXzsnrLx9fELL6Fz1RYNe+fPody3e9TxK6/CO7C/Xz2xLbNfNRpjbcWu0bkL78Tzz9mBQK8f3ZgNzOG+RmtZ6ZIdkMFEmPExndyWYH0TuWuti78DuQngzNy/T/O1hSxkIQtZyEIWspCFLGQhC1nIQhaykIUs5D9Z/msiun4KwF8QQvwILAn9wBjzhrbF28UYg4xw2ii2Wdhv/798G37q//xZAEAY13D50uu3fEYphZJw3Ye3uljZsxnFSTOuIO2OpLgoVJWt7xmBzYSjpiMfHiGkJ5iRI0auIhBK7DBjv6YVTrMa+VyZIWK5sMZK4Qk0ltiWdTzJIJmlrZ1qYcRMfs4c5Ao0pqzEjooSPtEfaaErcjawkvDceISzJOjOJXB+ycKjVTlCGdvs6+fZ+vOVK+sVGic3Cn1mk3NfossKxLNHFh9Wr5VoEy5eK+fa9oQAHGG4VigJi/s0kWtSo6o6GGjEJAQWnkGS2IqW+7l940aF3MiyDNevWfjjdDKpkHt3VQTQJ3Hs2sY6yoTVHTFrQ5shuiTg2+z8e95yL7amzDr7EoJr3Svt/T4ZTStYfqs06HK08UvhrC1WJgob1I0uj9ttRtA7Vk8TvwN3Bw6NxoStNw9wrYfFpEJg1LICksfrbtZwTH0asoIQKYWM+qQKhQnXeCsI8HxqM+MFLzMzZVWcUUYgd+OMYRA49A4rsfesnMFwYiHBN/b6qLtx1TBoKXsvxjQ3L21GeHifhPmqRM7KcKM/gpKuXOKjxernE9INdigwIiqlLCRcVWg4GMCnLjuC+sl4jIP9/eo1l/WfoWDuDqkqwA7FWyrr7te5kevVH3sQoa0afujB02j37Xr43SYeJnw5IXIoTVL4rNKsFxoebdNJpwGPLcSZD3iOHJif92oeJkQMGgOcoq070SU6/JvSIXuMqQZ7xJlCQH1dX6/hgLrUn9g1uK8+a8EaFBohdcwHoF0lhmie1wdjGK7RWj3CiWuVmPQhSaCZErrsjac4GNjqTrPRxtKaRUp0T60j37FrevYT32Cv58knIV4hBC2MMDm0z0zjk59CBU3b3gEG9v68QLsSGVNVwhrNZtUO2KjVsbRi7WadCIvjg12OVwf2924bdX4Xx2RX3y8wO6ZBVdW1CB2HBnQ1KwF/1bZQfeChHu7btrZi0ItBLmwsc/0HeVmtT1wq1OmHpvUQgi09w0k+q2ByfcOaD01CZ2EASV3vn/RRp/1b8l2ZUqEdEwmVKUTUp4tbPewSUaNpK2tSoNa2z8JomMHwWR9cv17ZVYcO6zTqKGgzj6bDqhVM/eLPQLCd4hkiD9/TbKJbc2T0ORTb5l7OcywdWJsV8Dn4gsnxKFtoe2unsJfZ52bvtddwn2eRg+b0aVxke9qTV6/ZzwsPOdGLaZbB4+9CyIrkvd+3x5LzJmCeBN79/66plMCX/nLxxpZJISG79tl7/32rOM1R4KNODfUxR5476GaukDokqDKoMVY6inyUbOlIkgI12pmQhfIsMPDYxiMMEFKXzosQu0RR+hXaRCEiisPLDY44jlx0I/TbjmyYuoQSAg6xaUCwDZajAEdcm2P6rjwtUHNVfilxRITipC6wSRSqpL9f6nSRpBZ1M4pjvEp7PF3uYP8pi6ZYjYl27Mb4KIcgjXb2MbxhUaxTKaCpj/e+8zG0X7Jk9D9Kqg2vBEqibmBUZWO0cZgi3NJyOlvTeRTXb7XWd0tuR5HdjvAwQGTvzTvu2cQ6idGnnRA12pMaOKQhL5FQnyJlIBy9R92HR98ymRZwZmZmmyQU24akQYWy8IxFB9t/OFtp0A1svJDlCh4/11tpYEhUvOvYiIyuGnpLZRE+AKBgKqR7QNTMpCiR0QZpCNT5wQQGkbHXkTIe6UHAM1ZHSj/EtOjb7+22MSWp/IiI2tfiDA88+yIAYKnVQsb7u/fiC5iyi+VCXmDIjpR9DiAKZIhJwV6POVSWgEFEPfR9e9/HowFm63YrDsLcNV9noFWJi+fvxfMvvMRjzVq6pedDu571OZ0STatL773YwxK7V0ZdHzFhxTV+3uQKkvsfb1SgQ9921AgQkU6lP84R0rdE5HPohT58InN8baqYrgOJnPtG12GjhEE7pI8pSxSO5qYRVRQjOfduwdywEtgeAACAlgZe6VA49v3ClIgYkPuhREI/NfRQUV4EPN/ISPTOWuyIGicYHtl7MshzxKQVOeRz9qnhJbyr4FCHMK6QtnWNapBULEzV0fEFR9GgvdkazD3qs/WZf2POBglRDe0y2sz2rndYjLGIHyEkJnzGpJRok9qoXqthf8/GRB5bPr2gBr1mW3vftRZh6dB+btTxUZvQz3E/H2gzs0vaIKSvSOteRfkxEQY+16+yDaGEYpusbwCPuhArA0O75FGXSmOwzv3TVCsY6tpGp4GjyLVSEuEPjbDqRJrdeSUNpGvFZvulhkLggMI+INnbW0SyQnTm1D8fEh6RW9po9FrsCJESo2MbYxfs+LrWjvFIQp+5f4SMa96/fg2KwzO6ZQnFYXSv06f2lMLJsUUdnvRP8Pj73gsA+LVf+RVkqaOamSFKb6V7oBht6YV+G7lriS4hxP8O4CMAVoQQNwB8F2C9mDHmewH8LICvA/AagCmAP/Gf8O0IwwgDTuX4kX/371Cr2wB5f3cX0vXiO0MHgftOW2jdx4oplEu4qAKMeTHlzZPbg2oS1ZV2iDG5WQYyQJMLFRaqgrw2ONkpkyHGXId0o4FPX7YJJe1LEOGHe9es8vZbPqZcq0k0g0LeLBMEDNQ6VJbEaCg68UJo1Jg0uL/bwfbQQiy32SZwyfcxIAfChU6n4lTyvAg5A/Y2ebdirSDpHH1PVq16v7AzwiNUxH9U2I3Cn8xSvOe6vWdpFGOZya2JMegS6ojQg9+xDvtTnABTCg3DIN6Xsmr16Z+czNr5CIm8cM89OD6mAfI9rJJTIIoivPzyy7h7Yux/ZmaUjw+PoFxbksBsI1JBbwPce9E6lG+VBa4nTCwFArlrT2Dg0Lg5QoetG9udqNow51riCmO6w/EY7yC/S9q0L/qlhxGh10t6jO6GnUgZ7R7hTNvq8mfadn12lmoQjPh6hUCDx7iUJyj5DDRoJDKlUXPJUqNwxBbcAQSiwsFpCQuNPHTq1sD1RsNqSpXRQI1JzUbL6srNnT2AU/c24xhttrQmBwVgbOD1jyd2fb9zaQ3g58RghID6XfoePK7BWGgUDNh+lJxvuyeH1TG01mg0rC4vr1j+OQDVJKeyLJDx2pLpFCvkxOh1u/B8H8PRAHdHNNtyvgQ0W8xsEgAIo/Hgpj23b44NNG3Tw2GIZQYXTyh7HW/ZSSCoX9vdGKc5/aUZSEQ968hPkhSSbdFNTqc6KYApH7jGZguvXrXOxUiBMfUmXLLHPW4EVYtxPJZo04aIpg8vs8fr0jGPU4Umg63NRogbezawioSHgE7wxI0cDQUGhIHHoo7eltXnk5MDNIkLb7E9JU0miJdtO0ctiHD8og3uJ89dxfmv+igA4Md+1k5w+RoBtD756/YYDz2M6BW7acTnnwLutxwVyHOAQc+/4zIoKaFc/78nq7bp7vIS9tnWqnm+9z34MF558QW8qdyy4bzzYmkuZl+u9fyBDBy3hHEbxLCLB85bXfjESR97TC6eKgssc60Ug6TwWh8ZEzaDZlDB6b16CL9uv0+P8yo54SbyaPjIWMxon+7iOn1dCYET2vW1DbYg1yP06VvDSYlNBpfPFdMqKSFcAt2PUXKz6UuFMHBTtQRCcki22ea2lE7QcvD9LEH4STvJZxkB6iUDWPLEvTxJ8OADVhfy117Hq2PrI78+XsfLY/ss/IPC+sc/7tdcPI7e8jJ82rET30e+bduDbhwewuNz+mPSHiMvc7gAzBiBspwPxvizUpU52zDXMmg90F1OTpg5vpvbExNuipl203EDPHqP9cMfL0Y4YWJxQynErgWCwXTveh8h9ep6O8BqykC/6aPFlth8mlebz1qLXCPGR8Ii24sbAtEVa+szT+Amp0XVVu3fpnEdJfmO0n6KiInsrC7hkxMu4PORFxoh/Zz2DTQD8f2ihGBhKuXlZpgF0ZEyaLLAslcqdDYvAkCVlBlLD+fe8T4AwPToGOZVW1RtvbSDiOfwPUNbr/3O3hp2r10BAJxdXYd6zNIxTA4PUTu2sSueeR4hCws/R730wgBlFegDs5ZSzAX7b9a6OPdvIWaJ/rs1ddFWdOZfuO085NzvACBx4cwWAOAbvAKa7Sk1VVa5J9d2L671q7W82Qqwzo2jqIfwmlyrcYaQ98Mnv6iQAbSjUzjTxc5lG3Pk0iAP+LllxsCtGo7ZFiQnBUIeY9sroUq29PH6VGkQ8/oKoVFyg+sLiY2CLf3chJpI44QtXdpUuXkEpUCna9tUpywA6/WzWN3gxLKDI6Tcx2wMDJ4+tjbv+1mS+eNpgsc2rK5cfv31KvY+1gaa+vJc/xgNFtz/De15f5JAMkGsy8kttZmqaDKvNxQBMYtXjIEfBNBshb+TorXGNEnxwnPPQnAarZRe1WIGGPj+rdyP8CI8cLoLwMbgGduYm6qsruWYSayNG31EriW6HeAUkxZRI4Smj6iNsllygpQQKD3ktE3+ehOHjG/GUlf8TpL+aBIFOGLGoRwZGCafjnwFn5y6TpeywlS6VnoaakJONCGr4mTpxjqGAn1XEC8NVmibhqVGk77J8T2N0xLjl609ashZ4iUaagRMdvwkC+l/ol5HSh2Wvo/QJUWM88o2yTLlvfx5trArNZdsn1ck8SaJ9Vvci6j8/F0auFidhuf7MEYjZuIxL0oo7nXHkzFmiRLuibTAg5wM/DXZBIq6VFMKPp+Hvpu+eKNftU7fbPk4xecjqAWQRCME0xyBo3loMRbRAUr6z3izjUs3rP1XHirKjw752bx6hJHjoE0VGrxfN/wSwvU5unyFsnQ1AFB4BopJcU96AAvhGdsupQ8o7vFkUV0+ghIIhGth5t4w01VxsS4ERizSPSraGEq7V/27uX3tO1sG5Rm7J9WjBA224k+vXcPgmWft9zabqD1oaYp+8dg+R7sHe4i5X0vTCb7w1FOzZaliJjl7zcl/Bo/pXUt0GWO+7bd53wD483fr+AtZyEIWspCFLGQhC1nIQhaykIUsZCEL+f8v+bIgo79dpDCI4wi5m3govQq+FkQhjo5sFUd6LuNdx9uZWf3A9TH2ezZjG+cKgln/wE0RaoQ4YCZc5AoDwgmTSQFD2Ge7FqLRtN/BgQaYJAUK/u24HqB7vgvAEl4mNU7uaZHwrjAIiRZI4gBF4dr/NOqu/Ue4ajcwZdU9NQovEuUS1ySGrBCsECa70YpxDysiOk/xMguzx2WKmNWsOlsNPF0gZkVIF6ja3U632viuga1cf0PDonnCcYZtEnWeFx5KVuW6nRb0tiX6llkOjGwl6a+T7PyfZxnAqqyMo2qKWRTH0ESrLHEa5N7efkX+vL+3W1VMOt0uYsI4hwOS4N8VmZUfyqJAyGpjs9nEsau+urSyF+PDHZuJ/oZBhrBnM9xbRmM84cQmAsLKbh1XiCyKSoWcmfrVfEZ035UBRiT17bPq0YtiFGzRHUUBXklsy1W3bpDUCXFl+2vQTytY/lgIlEQ9GaWRZw6rSnJo34NkdScrVdU22IKHMasWbVab+sJUfTYPnTmDZ25eq26V5Loa6p4vJbpEf6XDEQrXbuJ7+H5WAT/esTDWtc4KXr1sycQfCGsQrCoKT0Kyuh2c3qgq8n+vba/zR379VysklpAabU4XKsuy0pFjtnUaY9AkibvBbMJKvd6oyLzvvAhIL7CoPVfptqyqfF/DIXAE28dgJN7DquD57REmK/Y6nk+neE9un5e3cVrrjYbBRkky21wjZbXRSwp4rH4eFQUKIm8CXnNZlMi4tiIOEJzjc52USAnpV7RnQa7hE8048gTa1Mtr4yn8SpeoP56HFidYpapE6ciDgWpiZI0ojwmEm1UBKRQG160ulVGAPtGm589Z9MQRRohZEe022wjYKjld7uKH+xY9dO6aRX403v0e3CSB79bTz+AGiS5PraxifNNSPi63O9V4uP/hcUtm//c+9xl4RF3meYGNddui9fQXnkSTU2XbnKg3nU7mOibM3O+4qyIgIKWE0nPtbpw4PDuXW+FCXq+Fd7F8/bFDg3LTPjuqyHHAFjHDz8edGsgDD1koJHSCXlJW7YiBkFD0X5rVtSJVYJcjZBSgcd6i75ApFDVX6bb3sFVIdPm87fgal9geLTwJn3aRLg9ZoVGQVDwXBl3pWk8KDHmVKe3N02WKLq9ZS+BV2hipNfZgkTGu3WCtXkNCQujpJK+QGU9ND/BDsLr3OJFZrbiGzY/aNsj1y9vYZyvs+x9/HGDrwXEyRm/VojD+EluG/4EQmG/1qREVnefpDJngCLeDsJoIJYWsWoWzNL37HWe3EErfUjqdVUl53xAv411ErL/7usZk3dqmsSowGtLBsRqdtWMcsyVIJQUS+s8gKUF3g0DIilh3wjVIk3xWYI99HJ6zxzBJAVm3CHEQhR4m2g43AJDWAiRE28dGQruJV9TRUAiU1PNcaRi245S5qZ6fGpV4AFNND4YvKrL6R+M6Xrlh7dS9j9sJv8tSYnD5CgCg3luCol2Rvod/rOw5vG/Dtg43l9YxdDoRx/DYgaCiEMK12NdiNB6yk6m+h9XvH7rxKm6dfDmnEG9oHxO3orxuAXrdbXTgl0KV8bwqlBD1yW/i3URePTBMoYlOmpY5zNC10BP10o7RZ2we5QYpnYdIiuprAyEB6pNi63meFJXrNXEAed7qUJSUMPxbN+SnoyVCPoej2MeQ8RaMQMx2IdeGI40dLAUAudbQ0rV3CZT0cXX+PFQKARGvkRDQbBEKtMERdXaF5N/yaB+HXL9gPIXm9LvXd4/xz4me+QBR1cXNbfwCW60fWVpHenDA42pkyza2ii9dRXfJxtTfyefmn5oSRs8Im4Wc6YubulgNVjGoYl+jNRpNe/+SNLWTPO9a96KClkEVW0gxI8hXSsPc5udkq4PHO/Y8z9ycoNiwazpSOdTIoT3YFdOOccQ9XZBrDFzL2iSvbFPsexD0cxxEjuMkczhpFIEHf90eY90YjNkKZDjZzp+qmS7VA/SJzvThIaLNcjQuPmYttWmmK8L3hrGIKgAIXAsjBLilgzQWZeUuzX1fjYjCAiVCF/OlZaV3IQR+KLHdHx+oM75OS2wz/rlPy2q6ti8EfNfybQy6jFf/JrsEfghzSBqHGK3utWtpFLe+zF8cvYjz8XdHbMzkBwFanOrabrdx7Zq141kyhYvBFZF2weke3l6z53z2ZoZyza5zoXMUnCTuaH50N65a28PSYMoYXKQzPyelQECSekdBlGcllOviiAJ0N+1zpfOysmEhn1c/M1hyeYW6jxGH50gI+MwFFDOig8qfZVpX1C/SAAmfJUcpUmggYLwvzRy9iAFK2jafXRuesC2WAFBmCpmwduJ1M8I/OrH0IY91rA974do2RsbuHz50/0PIn/icPe6DD+CBR99iv2TQB87b+P571m3+4Af+zVVMpzaOhzEo3b5MK8x8x1z7dOVu3mQ4xW8j/zXJ6BeykIUsZCELWchCFrKQhSxkIQtZyEIWspA7Jl92iC4BwPNsVdtj3/awf4KCPbhZlsKwadk4gjw9geLo7yc8g7cPbYY0aXgQrsLo+IxDDzVmY3V/Cs2MYdQMUCPKoJFrnOWE1deXSLAXGzRYgZa5RkwiYxkCocuWsgqaC1URe4eFQcDMeIQZoaUhV4mGQJ1ZzbGZcZwcpil8Hi9j9v9KkaBDQudAAxsOrRNHaLg+YPZ1B1mJUepI8CQC9v6+lk1xlvfvUVZor5kSvZC97AihWBWAAqQjRFclPKJtPGaY//L6Jr7rFVulrNdrWNuwqIlGo4EJURijkc3oKlXi8muv2fsUBtjcshxYvu/htVfuJkeX4yEwt1SrHGfPSV7MKpfuZzHEVFsderIR4g8RKZF2fNTI43bkEHSBB+FbXegfjBE6Tp1Y4oRElzIv8NKe/b4JK56ZlHggdshDAzTs76VvkLB0UJwQKSZnlUJhBBSrPrEyFVIx1eTZ0aYatZsXCiF/VxJwxGnCVQIC4AWi6JQvsdqzlcIh8oqD65jj3LvTHKmw51CL68hJQnddAKdJevMVrLDs1XyURJhd6LSBhyx/Tu24j5ob0nDjJjqPPAQAGLFK8Q9/3+/HX/jJH7Pno0p4RCTGcYwTDhIYktBXKYVlogU9z8MRx1anyRRxrQ6l7kZVycBoBQOJ3rLtUz8h7xwAWwGrOJ0cekLC80j83YnQGFjDclD3kLKUNyRX29DTuEH0Zycp0OGAjSL2kbAacpAkiApWqtZs1ajo+Gg5fpGpgk+bFzQCFETFFiNyikBXSNlcl3h1YI+3Xgsw5gPSpn7sJFPUBcl8jULbVQILVXHRueuthUBKfT5SGi1WCKfjBF0SgT71xacBAPXOEs6f5kDevT2sGmvTfvngAIL37SGO/b65cxPL3/B19m/PX0Tjn3yvPfeHHsDyH/qD9vVPfgp44jcBAGliETx/9x3vwl/9/G8AAAYnx7hEpOz66gquX7sOANjnMAOtZ4TQELJC66Tp9LcGNfwuxcBYbgkhKm4ua6rm+VTmiV8BddRHVNr7/IVQ4/xuHwBQX67hHJFDrwpHyiygaVfE0QiGxiKNBEJyOfipghjZtUqXbMUxb/loEWVQTko0iPZthBIDrmuDIGXpaxxRn2QUIKSdgtHV8RT5k5TWiMhB0jAKjxAJUvgeniDPX0If7IUSV/i5GAJ1HmMiDVZJJt9n5TWOYsRERfoAWuSPe85kuEgk6DtpM0+SKXIiRdP+i2gT8XB1Msbmob2Xbd/DNp/DNfrjv/3eD+JvfOZTXJZZddJyg9zKf1MWKQLyhxRFiYQ66XkejPpP4574T5cvpahmhkJ1JGVlhoRIgO1Y4syAPqrlYZlcWce0zcqXUETF+VkJze/SsYc0c8gDBTmkLq3av1WdELEjwp0U8FlxbjYCaNq9gr4kNQVy6kyjBBTjplAbIOKYdyK7FAQ0n5PSKMRENyhlEDOech6gHQkMSJ4fAzBERN9IcqysnQcAHNC/nH/gQRhyIE1297CxbNFbn52W2MptLPMg0YPi/FlIxqjm9Rs4IKekX6vDJ7fXdHMDO0QbxKvWZ/yllVP4nmNLXB8EEXKHNPpSa2ecbRAQ9OH22u8uf+BM5m3QXKX9dj4xlaFk3LQfCGwcW5RR1vLQpk/KPMerJqHp/8JhXtk/HfsoqU9+oeDTNjmeN9UKK05Bk5SoUy9azQh9ovoyxv+DQCCijpW5rvh4oEzV4iEqfZph7LTWqPEfU1VU+uTQB7XYw5g2poBBg99VSKDJ60j4t5trmzAc1tGot7Cq7fn+fD9Bb8f6oUeXrT2aBB7Kdesrs6MB+ow111ZW0OOwqGxrEyMO6ZKMYf/q+Yv47svP2VO8jUbNDWyoOEM9HwW7A4zRFaF3EIbIkuQucgjeisww5tZ43KGQPfoHNRrBKIu4Pql76J3YuClteWhyzRPueUzgoeCFt6cFNGO/LPJnA3TyEh5tRE5Ufdnw4RHWEpUCAe93R3pQnG6Rju09LoxCOocarfPY06xEQm4mSUS8lKLqnjDCoOYej7KA0zKCA+EFAgX3ZhFMNTymHQUoXQeKdPyCEm6GRRzFADksXxhPsEX/9mib3UW6wPLWOQCAvrqDHWPv34bwIejbJ6Wu9CXn5/9iZxnfMzjAG0XcxtfnXuazYQyKsqh+v1UR76wYY5ClKXZ2bGdSfzBExmehVq9hSr5PF6MWu0P4m/aah80QTcbgectDh7GN8y/S9yDZxRBN82pAgQo9gPy5UW4gh4ynyQdoWn5ll0SqKrvUjGJMqWMJ9/w5FHzas7LQ1XApaD0j/OPeXcMi79x11/jQqLJExRlakXFJTMsZEtWR3wspIF38SPsbZKriBg8EEHHpnhwe4jT3jA8TPVhEBtd2LC/lwemz2Pj6TwCwXOYnz9qhUpM8xekL9/A87LV979d/E/7Ev/9XbtkqDmzP96HeEAeJOcCgh03q7s0b1/A7QXV92SW6pJSI6w1Mx6Oq9UQAyCrmfSYtqnfsayv89RO1Ojqp/durmcYek0QTKlPT87BCCOFEG9yko/PSEhNH+K19/EZJw3BMQuzVGkTgYNQGU04EGiZTdB08lg6olpZVx8mo6UHQqsVSIMpdW5k9nyFUBUdcE+EMYhh4WKUBXSJs25MSDUJq+7mCCZlgMQVaoQsErcaujzTyFfv55SEAXufjnsYH3/aYPTcGWKe2D6F4rGJ9AwNOMDPjMQJuBNpGAEw8TPj+/sYKmmx/XFlfQr3OVjtvRkx/84Z15qfPnIGhMU2nBbrdrj2G0Ti1aaGOVy7bRNidlCAIsL6+gb29/Yqw0Aof+MCvDHhROMNhsMVk3+NTr2pJiVOJhHq07RxLEFQkvS+UCe6JbPJhywsw5QgMOQIS8l+uZ3b9vqbexiUqyeVijICTZLZqEVJuON4WWn0qvBhh17bS/PLhFWzxuajFEpc4QSQkTHXsARmvpykkpvy9X2q0HcGwa6tRApuOjDPwK6h0qAS665sAgFWSW66dZHjRLi/S7QHSE3vcU7rAPSs2KXElsa+dbnSw17TB3eV2A+1zNqmx2e1Av3oJALC0vILygESypyzR4eev34DkZioMQ5QMWIRAFZAV1CvP93HItiNVKrSZZEuSBMPhCErfHfi0YbA/dsTCfgRVzBELuwSXmW0OVvn723QAyfc9E2Kbv+9RLxvSwwqfsUfqIQ6YnH9mPEFB2ySNxJhtE7WBfaYbvRp8OlY/lgi4vsN8ioabrkfbJZKC1PCAqXmou+RnodBMGQiy5ccTwGX2vvXCEBkdVQagy+TuHhMCESQayt6HPuIZRL9eqwYmnOEAik7QQjKxCcuXXruOn7punehbW008tm71vM0hFtP9YxytWXtT/vTP4iaTwLUrV/DA5560F/Ly68DDj9hf/9UPAgCenyQIWBQYDfu47z7rhJ975hlsMPGWM7je3r4JJ0HgV1N/7+rARYoQBhByjsDcVG2M2ui5NkrXr1Mipr15uwxxzu3Bch9XuMncllaf3uX5qNF3oFHH82y98pVBQT8yHJeQddoABm/tbh0RkyFFJAAmlI6KSUWAe0QdDHMF6da6GVYFKU8DhoGhyzhMjUKu7DnWhYergf3eM36M+0nSfInPUp4WWOZ5HY4LhPRvWgrsEd7vpra+Z+0sfvYlu9FbNzOS4/sB3Mtzc6TDLb+FF5+3wVnWrsHXbK96/RJ69EOR72OZ/vIVthdd29mFYDLNqKxqz4iicG6CkNvo+JWdmk8OvDG4u9NibiUINnquNcAAt5H0QoZY5tvvDmLUGTcNMolrmlOWGLx3pIeYGz0/8jGsrklDsiVof5pWAwLMib0ntWYEzaSZ8ASWHNmuKWGO7fEM31/JFAL617QZVP0IvjIomajSTLAmukDunhOYKoaqBUEVe5Ruk5IqRDH1PdEAp7mFUYB3f+QrAADjG9YGrCclXjuxGz11/RDDA2t7ojLDHz5lbdONvvU7R08/B0O93N46g5deeQUAcP+Zc5BsDxMHh9VyvMQE205ZwnCCUaPZqIoyqixvbaF2S+UIw7WCx+fOlPruDzao2vLf7DjmjWE4FJaoYh+MG5B8Tvdzg11eY0575Hseai5IDgWm/N1XGjp2bYoaKW2A7tuFr7drkNEsAeDTVx3m02qSrODwplYh4JF7JK/7KGlDQ40qmUaTiKkuZ0VvX1aFamWAgv67pO1r+B4M6SWyRCNzwx88iYBxdKfFOFCHuMl1337yWdwYM0k67OMbmXAf0wfHzS7iTRt3HaYFCg5/QqeLbGo39TUhMHWTzLiRvRIFMMbqYRxJGJ5PkWdzkxTdZhkVaXgQhCidTSoKCOndpcEGAlJ687PUbMOunlMgnrNyyRI/wjrffVdQg0d7tJ9p7GrXdkr6A0+i5VqTs7JKpkYwENSlWu4hdQkMJk9XA4kuCyFGGPSZILmmc2jqkuFQja4yKJRLusoq+bAZ+NVQBUcqfzTNqrbMZuhjTL0rIdAmpUXB50EaA4/nhUKix+fb970qUe/qVp1Rgclp28Ka7w/A7QrWhcCDSzYpeMD7F/VTXN615N9xbwVjxuPHkwRrJPxvSQ+Oen7An1eNgXT0OCrHmye258TM+RQ959/E3Us9CCEsKT1j5SRJK2oepRQkfYEbuiSFQGtqf3+bDKvWdQ0fh5IgBl5aMwoRciLrMCsxodZGRlSgmTwrgIhxFcEtnZYPw8SQ9g0C6spxOoKg3SgYgzQNEDBOCuo+crjWZ6Cg3mW0a2mhqmZSP/BQuMSkATrcK/WpS6Ex8Fx77qRE7JL5UsJN7ZbMh/TGCodsDfbhIeU6LgmJh1d6AIBd7v3FSVK1SW4fHeISC8Tn1zbQ5r5s5cwWDl+1/q978QIA4HPPPV/5rne+6x14/nkbo7XaHfTZ5j/vW0IWFcsyr/IGQnpVEvy3kkXr4kIWspCFLGQhC1nIQhaykIUsZCELWchCfk/Ilx2iS2mN0XAEKQVyQmxt0u+NRHieg9ULD/9022bjf79ROHStAs06xq59ghW9cZJhpWuhKd5yA6tjEsznCluszt30S9Q5ituR0dXGCmmXcH0poDgTdDnzULBy3SbccKR0laeMx6Yih5TGVCTAhauqQEAz+6tLS9ILALXAxwZRDUtsh5sEBkNWyVb9EJccOsT3MGZ159H9rLpnUcJqlwJecITqS+vwiO6Ysn3lTLONbs1W1I+PjrA2tO0MrfV1gOSZGFwDmOFtnLItij97+RVMHNncgcYDD9mK50n/BDs3LRm5g5RevnSpItEcDge4etkie06fPYtVIizuBqKrLAsc7B/AlxJxw406TaqKaZ7nbyxYCon/z2/ac/m29WWcd2PZgyb6savU2J9PT0Z4rGerLK3lDq7xfl3QPkYkNza+QZ0IiWMWAn7u5h4unLOZcxVp5HxSk9xUVbWC9+6gUDhJbRU5KoGEz0VdhfALR+5MHRNe1QorVDUrAIE3a4NyhdTYl/BYrZwcHyFl1WdpfQOibfVhTdvXouAIXabNh3mOlNcfeDHiNbvuUWpRTi3fx7kz5wEAT1y/hrfv23PHJMWAFc/e/ffAP2Orl24U+69dv4IOW9Y8T2LqUFx5bolS50SVJQwroY1GAwkJHfM8h/Qk9O1reodEwEJwJSvTqixuJVSsytuuTcjD//SKrYB8RbcBn/oxEhpnGvbeNlnRy5ICE97X15s+FJ/vjglxxHYZXfOqKu2AOpMPEqiG/d5W7CNn53E4mSE6WrQbfaVmNbqRQost2CorKztUUkFibaHcADAaZ+jU2WoGVVWNe+4+xD6arDBFvo9oy67tMEshODTg1PJ5AEBDa3zu+acBAGtxjMcefBgA0J2MsRzNWnsBYDnJEB4RVfF1H8fb+qw9Xr6C8S/+kr1//RHw878AAHjsbZYc8/oXnwJPHVGjg8uXL9tjN1vYZkXK2WULXHBtZ0W1tv8lxBhLDuxaqT3pVa3Htk7l9Il2XQHfe83q+lf4OTZYOc0iiQl9XZeVx8tJgrNEBRx1DUq2iEllENAuNFqzCmdJvzCe5kg8V4U2ACuc4VRXEPhl+rwTpWGc3vTTGQxfzVrl3PcHSlS2Ni41jgnPqUNWfi9xKLDYg0/USzswyLgmiZ61mr+rZVvBDg4OqlZMozRGbvCMlKgLh0K0P0+FER4g0u9wcIBlVlDfqj1sc9BF54H70KIeXnzRttX/n3s3YUoS7Uu/QtOUSsEP2HZOdKPw/CrwKst5u2XeHBxzR4T3+3YAjjP2eu4NQ58ufXyvfRTwzZigTds09BtVW1DAZ16XCpLIq1ErqmwFSl0RK9eaIbRrpefDN5wW6BJVkUiFhO+fmepq5HnAlo7pXDueHihE/A5PmSrGmrgx8HOtDr6yMRkAFABSXmeLcdNRCPika2j5Ag22hzU319EnCnmra/Ej8tQmgtdesueQZBjT7xxLg9OkvGgoG0vdv72HkC2qL1y9iVP8vX75Ojza6/gdj2GHlW4XX35ycgwYqyv94xzv/9CHAQBPPfm5Geo9ce2MgHBoHGGRMQCghf4dVbp/V1KhgX6b1pGqjd3DD1yzSN2v7QXocM2m7bhC2bi2elUq+Gwbyjq1qi1IlxoBEauq4UM5c8K4YTjOIIlY1QAEUYZBrqqzFGxdzOOgalcsh6qiAoEyAPXIoZRDLVDyba9QFs4MAEJAEp3jkLS5LyD5e+gJTCr0l0ExtvHwuY0H7OfX1tDg+R7kBSK2twa+wQlRzTn1Zll6aLxi4+ITT6J9xcbQteAQ6cTG5P1ajC6J6du8J7/4xGerZ1rrcNZNZi+A/5ghu9xvZVFUdBa2FepuGScDrUtEUYSCremV/XDinmW3Rp7E//yyjQs/1A3R4uCCaSeCom1ybdBloRDVuV/rxCiJlom0qLpp8roHHhol7UpYaBzTZisPKLmnawwAUVHM0FYKidD5laREk+fZlAJTQqtOGGMJDdTpi2WhENM2TYW9LgDw6BaiyEfIFu1CavT5TBs9G7zxUGH1Q0Q++n2rB9CmQh1mcYAJCe09+sylwMeqtM/X4XiMHo+x6gVIXSu00mBjEdjhi99MR0RyuXV5s9iWcgvk3cy1Mao3b3O8E2IMyrKAUqXrkAOMgWb8FkURMvr0MGSHQpnj+w7s718VZShJxxJ6DWjqUkiEls5L1Ej3MO3WYNhJptXs+Zf1oGrYcAjV8TSHYcxkBKDpd4NSI6SuBETGS9+rEIFlMfNzKDUMfWnBY/kQVcrDL+fI6MW8veJ6xj7qXGcvBNI52hpHcbNxxGsX0g7+ACAiD6l7Tmohhm44Ar+r6/vY4uCYvctXsM69bHljD9s8n4uPPIz4ukVF+0SY/ejnPl2h/J783G9i/ZTdE4xGbvTQnBhdoUv9IK4Gipnf4UZugehayEIWspCFLGQhC1nIQhaykIUsZCELWcjvCfmyQ3QBtgc3ihscFQpm4t9YVVLVGPYE5aGt9P/1dh1/i6TIg1K5SaNo9mw/vLh5gt2JrfgEvocuKyydjkTATPA5z8eEhWWvY7PpwzRDxMx9HEhMSO4c+n5FHLfH6m1dSHdYCCFnpPBznBkuGa49gcBxA3ii6gM/FQZ4sW+rQ+8guiYtNMrQkXoacDI4ZBQjZHZ2n0SLjUmOGxzvvlprYHnVooeWaj7IF4vYca94JVKOUc8mY8Qkiu7sHcwQdGla8VGIqa2Cfnu9je86sCXhoChx9coVe52eREgy89GgzzthKi6Kbm8JNfbGD/p93Lx+HXdLjLHjbmu1OlIijqQXVpwvWZpUo+DndUyxIvuXCoNf69b4qqw4Ro6b9ubfvLyLVeqQ0gI1Vvf7qDAY8IXA43Wrf79CHiMlgCnRWEtC4pik4EeeQpMk5Hsk0BZFgozZ7lAIBNSnG6ME2iG5qE9er4OAVehQSkxIll4THqa8zpjVSs8AYyKPQimgNLPoAgh4DpcSuzZBpw5JTom4KKBYNZUmQzK1VaYOK5Ovb19F7SHLA3c2T/EL1JE/8zUfRfyZz/MGa4Dn0/qQHe3+5+IAf+tTnwQAFGmCNJ1Vtcs3GVnsyIinyZQVSfu8GW3uEr/SjKfA2aYgCCvy01vgFFV1q4Ae2wrGd0UhvrtldSVRCk8TTfC+M6cBAI0bfVxn6SUTqKqtUasOSZSlX5jZMA6WtHqeB0kFaEgPuyNn3yKk5BLLaCulMRXIYyOKcTi2ax7BVP3/W9ThRAAT8mGst5vIHGeaL1Fzgzl8h4oSSB3PHwR2r10BADzwvg+gddNycL322hcBALXGCrK25ZTYHwywQkLsh4CKS3A7tD/7kwm85yynUrG/h3OPv8ee5DvfgeaAI9XvrwNvtYMNDrdtFfxrt07jN19+EQCwtr6BvV17Du981zvxS79g0V/rG5ZoOooiXLtqEV/zlDS1OELCdb5bIoRAWRQVukxpDeE4X4zBG1y4UciH1ob8owsdPEz+B5UVKEL7ubhtEUvlzRPcaFq7IiERkcfNCAHpqou5gWKpu0l0X57lUERYhFJUyFRP+ihJipwYN9BAI6Kux1FYcZtAa0xcVZPlz9zzK2Sm5wsU1MlOEOCyI0XmY6MLjSNh/9aUGtKRxhYSqx2LaHh5aLmUVv2o4h0UQQSP11mHRo3ILJ+8ayv3XcDxTYsw1aGPft3eq9WVVbTJ01QXEvvk/3Pcd39saQX/Yzbhpc2GF3hBgIjcnJMxCYiN5RqdyTxy8C7yKhmNW+IkIedAGgZVMOQkPYI6sfr1/1zx8f9uEvFcltV486hl0Uv57hAe10BBwieyWWlAU5cCpUF1rAb+FKZA06H4jMBkwsEEXoh0ZPXYhRil1ghYIQ88D4Z+rjAGCe9bRF1KxYxrqPBQAWjrgYfyNiqympI4dDwopUGDS9PsLSEY2uf7yon1c0WSoM/qdrDaQ4NxQDsUOEMkYP0eazcm6xP0+/bzkR8gp/1DYSpEm8pzrJKb8PLQcit9S7OD7zux+thstXD9uiWrV2VZ+RKftr0s1UxnzGyIDoAZuuuucr/dAg/EHInY3HsONaRgptbX/b36Ev4H8hsVSiPn3zY5sr7cG0LWHVukhE/bJULMkAalhkfbFDQcmriAyl2nh0FGNEPoB8jJm+tVPrqsCJl9T1ZxujFmhuTiuScQFXl1LlGR49c9f4aQJ9JBGYEhLz0CoEOPVyGq2O36wPqbcT7BHgd0RJvr6F+1NqYdSiyv2Q6HV0fWrqSTAQ6Iwqlpg8OmtStnSoGYHKReFKJ/ZGO6lL7pGxsN/O/kg11eXsIN2jEYgxrt23Ti/JhBSG5f281AtCCAwPehizfGWXdChBAoS4WIA1OSedQQTMVp6gAcUqUw5Ff7ruUIf5u8a3lpqu6HuE4O26MJhNMl4aFG2+QJWaFFRaERO+QUUVWBtrYOsAgXk9mD39Nt49X9PoCZ952UJXzHkypFFbtOgQoV1aWe9IXGiP6z5svKNrWkV/nVyt+XBgPHjasNFInLJTzUSW5/ybd6fc/F++FxP5UcHkCDgxh8H7GDN005SKMZotzjIDAIHHKYS096iB3JvRDIXJcGT/LjYYwfymdx928ZSN/C2SVmfys8/E4IxP9zxMDAGI1mo4nJ1Op0rd5Eyr3ueDKL1xxXo+dJKPKv/f12HX+GnRJ+WVa8Wk0OyTJHE2R1Z1N81Gdc+/DccDGlK96+OjmxjFQo6TeENJiSA1D6AVLG4w5LmScKPfrHIJAwU/o5bZC6oQy8hqkyENyvpVrD5+MZeF7FQel0yStNNQQBSkHSLpXCQ0jOr71V8ohPCgz4rOtIwxCuuFQLEdEHGyIU02aIA4cw7nSQrlv087Jfh2KXV+77kG17D5/lfvCb6w38s4zrYQRGHCRWFAXmh3Xxl8qPFdrAo/+M6nEVg+s32QM6+bJMdBlY513xOesZpP2WOG4uaVRnAujHzm7g2W1L3LjnG2g3pebQ3uQg9FBygbvNGFx/+EYgIPx12J8iYHvjIWGODZEjo/LqocEScYOjcYKKX7Xl828lCkd2mRQo6CATaBR0pj2SOWttqil4QeThHpKgT5TBkLBsjw8FoLBMIvLSkwBbnkKlUNJ5hdy4drwYimS/Ud2Dp+z1X2uvoR7YY2w++lF7vU9/EcXAvr/2+OM4/Z532cP9wL+GOrCbCa/ZgOCxf/q6hVf/nZvb1lkCqKkQ/RMbyGVZimTqFJyG2/MqMviTo0OAU+sODw6rpNPdEdvSIeUsMIzjsII3K6UwPznESbNrN+I/fnoFINdw4pvKSZ7ssIVKSjzDJGsO4AwDi5onAerkqpE4YmLMONSmybFP47telDjfs+2galLgiBuqE270vBAwU3u+PRXgJo1ECVTDCxSvwRuOMWWwfNTtoLdq2wqn/RO2LwI1tsQGoaxIEVMpq8BzMDhCxh1Lz7OGcd2LMOBxgwBYfpudpLi0voLRpav2fF+1z10kYxzT4axENbz1xBq+F37jM7jIyVP+Y48CJHH+4s/9PADgs0sdtDjlU/pt7O48W63HuXPnAQA3SRwuhECRu2RziMSRYHsek2J3Y0NpuOkwla6Uc5N03tS5a41608J+v+f8Go6O+gCAI99gha1An7xkN1kPxDWs+mwVlR6Mm/JU83CRTmTaT2CYyBix1aihswoKvZIAtYJt2uMCEYlF/a7Vv1FZYshkUiM3GFAnSj1rsXbEwWthVDmQVJeQfE6jokTCv0mp46faTTSZvFaNBtbXugCA9W4L+zfshDEfVu96pcGTTIQ1V9ew+jYmqcohognvJTc40dkL6DB4i7ZOI/2sTZTGz74ItGwBAIHA5LM2ifYUE7v/y5Ofx6ktSy5+dHQEyU3oZDKFR0c+Gtq12E+SuT2bgOI039/Cr94xMcZU7UqATZDoW+Dari2I/ajCQ+e0ve5/3qyh4GSzK762RRcA5aENcL3IR87nYiUOMFTcfAuDqMnNzjBDjfdxTLi4VFk1mAOpRlez9WyaomDyKmxxQpUvIagl6fEYJROfRoiKDNa1lZmiROSSE1qjyfP9zcEAZ2okhednDoscNTc9NvSROCJ0yGqjt8zjboQhXuYmJPMMFKPBeHMNJ8f2XmysnAMAvPrKJaxxqub6cIqMLeGivVRNt9qdjrDFiUS/zPP6nv2dN4358zyH4no5EtyyyCECt4mf2QRjDIQnbXboroiBBfHPf7+bViBnwWX1VoQmY5a/ttTEy5xcK0IfOW1Pumtf2/TDamJk6AlUrBK+gHabTJOjycTYkLZpxTMIGTD3cuAMN2fjQVZtECfMPPW8AFMmOeS4gHK9QnM5w8L9Q5lqdFkhDCJmSEttIGtWX1PqsOdLrLKlZ1oL0NqwPij8/7H3p1G2Jtd1GLgjvvHON+fMN79XcxVQKIwCQIATAJKSKEGULbXEZalFS5a1lqVuu9WSxbZs2e6WZbndLdtLXqIGUqRIipMkgmgCBAkQIIYCCmPNc705X86Zd773GyP6R+yIezPrFQCJ70EG1z1rAS8r8w7fcL4TJ87Zex8JyE1TGL84Msc7Ggts7Zh4tbG2irBpxapL7FAQ/+atXQDAZUgsMp+r5Tk049RBUWKFa/vlfgeLFL/ffM3kTT/X68D6RZpNhXfLIsfrnWzaXBFSuqLXXS2Yuq+Wry+eukA5m5NP6XHVRVOE/h8uLGGfNPN9Xbqmzfa2eXYvhvGUquJ5oF47MqnNCF8Avs4RsJgxtCLbKJDYInyqUeOWcDweO8rq6gqHIkkg4ebUH5ZuyqcSwqV8JXNCP1fI7fACLeBzk6gB7FEIvc21rhb5aNO3JhoA5U1QaqT0T7FjzrN+cRFPXTPU1WajCq9tzm1PauxyumdOIflRlqAasWG1uobetvHDrbCCFvMpf+E09K7xP7tO/Hz30E3r29neQcAmczIeQ3HjbG+RJ73poAwhMKUzA3me3TW/0trk2m5whxYnaHHavQ4AilKjsW5y8L+/2sLuoaExHgkFwY1hut8FACzFFTeAJPY9KPJdDR3RXAtvVECwIW2bpp7OXBFe9AvUee+OOn03hVA3WXiMAUVfKgY5EtImldaIbDGV8UqPU0ieTwIFyb+HQrgKRsVOa4VGxHA91MDI0tTywg0sazMn6j/1HG75lMlpVSHpzzKSyDhISO2ZfGCYpm5I2lKtjoS5clqWEJZul2eo0Vd2GMd+ZTzC8WK2tdvEgNnpilrPUJjF69eaO2naDKeyRzceDtz0WyEktFv/ps2YxqpZ8/9a1ccuC5rNQCLifm7EwmYrilDyPCLpYczubyY1StL49ShHTNkRWygNRIHcdliSEi1th1Wk05ypaXKu1cjDXtc8B35PoaQvSQFEoZ2IaQuewg07UEIgYAwSEK6QF1HEvRJIZIyNA+GhZPFTamBsJUzow7VcY9due0PhBnFkvoBibBuyUKoDH4LNvPvOXXB7/lu+RMzrEx0eYGPT7P82r5v94L8Y9F0TMEtTrFIyQAgPV197FcdtGou01ghYz5hMxt9WI2dOXZzb3OY2t7nNbW5zm9vc5ja3uc1tbnOb2x8I+65EdAFAOgufPAaTljM/TVFew66p+I+2qmgTYtUSCtvsBLOIi9W0RJ1dOuEJhKy2jwcpSlZTa4GHEUuEQ4tMyjXawbRu6MYhBx4KQk8VIdUj30ONxd3I99HhfNi6DlwTY4GjUTeRo8I2xkQpjDhUNvQEzhNB9SShgI826wiIdEi9EiGRG00ZYmgRJoQGQ/tIJ6Yie2O9icPcnNuCEqhn5n09Uqp2pUSTnf/R7h7wghHgxSMPwHuR13hrCwNp7okismOUjiEJiR2Q+giY8aEhO9oT0hz9IMBpUiJvXLuGW4TrLy4t4+jwAHfXNEbDIRqkSwVhCA3SLcLIUFEAhzjTWmDI8aeNwzYQmfdVfIE+KWKZ1Q/McsT0oVIDm4TPh6VGyM7TzTLFdQrwDUmVWNDABXaLBArsEfKf94ZI6E+a39WMQlQEqaC+hKB/B3oKt3dQaJSo258HPXQsFS70sVE1yA1NGm+xfwtDnrOsAEitiGeJ3YHpGjY3zgEA2kGEMVGIaU1D98312e53cd+Cod4lG+yIdgeQRAf4aY7TVCjOwgBXSCEKnn8GD957v7lWvE4f+cQn8NhbHwMArK1t4IXnpoiuGzev8yfSrOo1rCybzvzW9rajexmE1d2BTQOYgWfb/1SEaoMKosfRgUIGGA3Ns9E4WsKESNDY126AgB1t3OmPsUZUFCLphCdrKVynxhPavT5hl7dVCKyy0xMpgUN2mc5UIvTskGp2ObXnIyFt4EaRoqR/BJCON+C0MSUQ2U6PFLg6mQ4bWLRoM3az1y9egPDoH/kQ65eMGO/R1WvY7pnzv2/d+EllkOGhtxrUaFcN8fa/8TfM+Xz964j/9cfMdSOVTV24iJCoNFy7iYC0dLztMeDhB82p/b3/EQFRc0fPPgMAWFhdds9EkaVYoq8cHR7CriVjCvwCcsZlNCTFNvMTAxDuiglpvtPSFZV6AwoAfxfE6F01z9aKF6BGqgykwnXGi6PcPGPtRLnx6hIaDfpId5zMDK/QbrR0nxSaRgFU6QNSSIz4d+lLaMb7nD6mlUDVs0gJoCRyQ5cK0oqN8xxO1WrY5DVPNRARhVVCY5Fd5oSCrnlSorBdzYpEZAXPNXBoO65LpOM3lxEdGXr0KBII+b72mQsoJyZupFyz4mYT631zngvjCSoWFZSliBrGhxZfvoqUHekx0SWjbOK611L6UKT01upNh+Syg1dQlI5KbV5vaTmC4qp3C40jSY+cUaMWM9/lRr7Tp2SAwREF9CsaTSL+eoVGGtlYwOd/nCKgkHjhSRtV4GXK0aJjmBwGAEakTNe0xAbpHR7ghLtVIGDlw6kZjFLo6c9SOISOVwoXC317LX0BUVg0M9DnedZ9D21tvm83sMLuOQKiI1I9QcU3OVIlzdHn8SySVtFcOYXzZwz6LxNj1AIi+7e3UC2ML5x75E0AgP7nH8cSad5n0xyKcaN3ZgM1opnizZuYLJp4OyQ9Jt2edqizNIHHZyYMwhm6jR12kkHwvhnxea4rM1S7u2a6NDHIoTPkcQSHONFHFxJjUn7lahU1dvs7nsDQIYrMD71hggUiJDKlnFC4TpUT2dZaQfEcJ0Q/BQpo8XtLrRwFUfvSITHGpE/XAgmvtFw4O+wAiDFFMEjrj76EtEggwFEtIynQoLNPAr6nUA71UEQCkmtzTUt0EhPfFk5fNN9Vq+HskkEy7GV7iPh8JJMCpz3jD1dLE4+iOEbJ+x7e2MSDll5+ZgkemQJiOMLKhQsAgJeZNyebGSoRaXx55uhEQkqklH+YIqWKGdTgSVTVXcybuIdTNjYJzCCApn6l6WsiqGKwb57JcV0CvN6Zr51yum+pgr0EDa5zuZLOx3Q6fT5yXaLQ9tobX4pzoMp7K6UHj+i+65g4SQ+PtP1WHDgEnedJHCm7HglwSXTzC0Lfc/FfS2lkKABAKdSIPbFxMCi1A/h6ISCtPI4ERnZwGdfXMAd85uii7kOMprld5cick141ec5iobDE+NguNaLY+Np+v4+MCJkyDJDxOxJp6XGzbIgZxN9t16wZuiIwzYMdshgA7iyyS0BASAGhp0ek1BRNFoYR0sTSu0mP9WIMrhuEZXqmigYP6TDNsBgw36b/DXoJmjWTB6RQFogKmU/XbQ1thvQAmJDS55cadadX5CHhwZWecFcgIXU6xBSNXIrpmtn0fPdIVHjPJ0pB0rGU0ujz3kltBvoAQEYhfVEoh3ZFKAHmQRUh0OVzFVmaowL80n0ZxNhKYChUuub6WRp94PuICOFOv/YNVB8wuX37wkWs8Ty3btzAoUVMHlKGolFHi3I3eV7g9GmT/1++cgXCCvSHU+S7zanKosCE+T/5ffhW9t1Z6JqFRAKEUE8httO11m7yJSQLKz+xAPz9PnUeyhJ1chN7TKB7UYDKza55/yUfgiRcEfpIWKjKihxVm4RRA6CaugECSAuFmMczCiR83ocJDzEB4NPheqFCQIc7EhotHvzzuQlMGzJCk06/Vw/QZaKzEYZYoz7IOo+rlxYoPeo66QARjy3bWEbBTcOEhZbi6p7bpL766jZO32+oZqNJgecHBip/loWf9/4HP4ZXn/gKAMAbTjB62UwcrKUpsNjmyU0gCR//KLUmPC9AYXWkhHDO215cdrQgn3SYOK4gZZFD6elmrtfpHKPu3B0z18EW3ZTSKHhchv5mNzBMoMrp1JAPeRN8XprAByWwxhh6lff6qu9hadcsyO2NRUhldR4EBOl/WgHhyLyxze9qlRLiyGwGdByhyerFLqYLX52Fzs08Q3tix6QFWOSCvCUKpzGRsUhbpsrpHKh2BUMGjBoAxeS7Tr2nbgQUDKKhBnxL/xMe6tQK2N+5BgC47PWQPXAvACBeuhdjFrrOnDmHq1cuAwB86q8stlsYcbGJ1xqoHHTNZ6UpIhZ4h0mGL3aNH/2r1PhsvdHExYsmQfzIR379WFI9nb7BBaIonb9B65lleHZxvoumZ36w1BIhpzON7KFDOYr1XypH+Nue2WQFGuhxMwjqk+SNKuJbpji9cN8yMi52GQQyJu9KStSH1CMgXH1NRRhxp+DnBZpMgIY1z/mjFT/SWmORhcc8nOaaIylQ40GP3cIKNBm7dqsSbTt9tFSI7fRMn9Nat7bQYOGyUCH2XzT6WNILEDH2DljwbxcZNO/5UqUOkNoU/8D3Ayy21He75lj6PYh1Q7/FYRde1VBj8LkvAjdMHPPe/BYMP/0pAMAvd0xCc1jkWCNUenF5GRfOm83rV79GjTjeHQDHKRwQCKjrlKfaUT/umk+Z8UoQfKZ1mTt/MSmVdSQW3fIxBGH6f7RS4hfpQkJpVBkjjuwEw3qEpWsmNvXPC7dG+NJDyk2UL4GYNCtJalZYSicbkJYKIQNSGkr47jJY3wTWmGaoWgyRmLjaEwIcYoUhs5Cm1mgyjB1VJW6S3laHwKs8hmXSquF7GDPxCRUAxqYgDFBjcbXTN/d61GjD58Zi0s0hqDUWKgFx0RTqQ57boD/ANf790ZV14NVrPNEcl2NzXe+JY+xTW+IfDdjAkb5LeoUQCEj/f/Dhh3Dlsol/Q05cgxBuci6kcJo4eW6Ur1Rx99a748wjPfN7AeGKXpa3NQFKcy3/nhfjrzIlr2gJwbypsOtLPUZ0w1wLfaoBz05lhIeUOla5J1ChhpvP96/JEIrTn+NSIOZ96kcCkrHFUhS7qsQa927jQKBOJ+z5ApGdnsk45mVTXzqs+m6KW1lqtFkY9/i9ryiNPktzgRdi7xVDm5BLK6iw6XOL8ehU5xAHh6Zo2jq9Dsni1MbpC1BbhkpWPPscAKDuedjkJOdKt4eHWChceeYF3GyQgr66ihE7Bx/pGn+Nq3Uk42ljsLQbz7KEXTjKGd1QrVxZ0RUmPE8eK6beNZulLh6rgwi8brKagItjf2uS4r/kA1NRgGLRoeC9LhsVjK+aHMI/03KTWSvSw4ByIdoHKownlYxFqlIg58ZHF8qtb7kv7HBYVGzRXGnUmFvrwEPVUsQ8t+Qit8WrDK6g1Y09KG4iQ0/D5wa+NWJRoCIw4aZWaO2a2kIIVO0kSU5onSQjt9GtpyEmbD5rLTGusGnHe5rlOcJ22xxXoSHZtA5Wl5FfM43hyniCMenU/9wW1oXvclcB6e6BUtPG2zSVEic0IKcm7mreZPdvVpsnuD0j1v5nkQAsSP9dofDXmQu1yhKZzYXZYE6qAYJr5nmqnG+jtBpcQqLg3imHRsRiaYWoh0YpMeHxXPJD7LAomEuFCu+pbQjtJxkW+b7clwiZjx5ohdQ1ZEwsrSsfPn+37UkUM3qXtu66yHytLwVK9vECX2CRxfIsV7CKLpmlOSc5PN6z4Y0uzm6Y/GYwSTGmHt7D73w/AKA5TtA4a4AF4ZXr6JNO1khT9KyWtIKbgvtb9hEXHrTlEZ+8Kcc0udwvpz9+R+jUgO/7yLIMPvOgOPYxZv6QHwPI8ORUDiGNL/1sJcJfYgHsrBRIuWfxWChNayGS18y+JLy44PZXQkjkzMG1ADzGKC+dzZkYa0qFwMouBBKhpQ/bZ1QLRKVt+EgXl7pSocpiu6j67nNrLH4e+NJJytQ9CY/PdpXTtNOKh0zaG6kR2gKR8lCjTEpB6ms+1vDow4NbPdQp26RyhR4LyVXuP1WaYWL3yF6A1o4BQYTVGnpWziRNgUXTePyXlA/pd7toM55leYYO959ZmjnPspqTQTiVEzJ/nC222nz4jQtec+ri3OY2t7nNbW5zm9vc5ja3uc1tbnOb29z+QNh3J6LLVY5nK8i2beLB1e9s9RISKjWdknq+CEGYeuABkbTibRRP9qaUIf9aF8Gq6eh5CzE8VsV3diaQnHS4QGxrpTd0CJ1MAiPSzvJAwmfHrsLuQeEBoFjvIMkc/L8uBSKqET5AqHE9V+gGpnq5mmm0LaWxP8I+T2+Z57AKH6sc/dJUAoKw+f3uAfoxO4hEc1xfW8F5Vl6zag29TTMFpr64jHbFVF7BTqz0PDzwX/1N87tf+w3oX/9N83N34KiUcaUCj52A3yZNtNGoISUSqb3Qxh5FXHe3NrG8aroN/SNTHS/LEs2WQZCVRQGfAnr1RgOjgUEYJRmFKu+oCUjpwfd9tFhdPjo8QkjkgNYpbPVYaYs99QCe95lAYpgQZVKrYp+v2GBH/+uToaOSebeOEHCYgN+u4kcumelMH9nexkbLoMJukCLRuucRFJwaV202sP3SUwCASRS4wQoF72U9kMibFJCc5I5uG0uBgl1vyWdiyRdIWRmvDyeuewchMBAW2k9EkJCgayFSwKm68aHdMseE3Ytmn9Pv8j2sXrwAANgfDuDvG+HBV67chFcx57ayYKYILdxzD2pEzx1tbWOZXc77LpzH5T3jk9defhGNPdM5/y12YVrNJr72ta8DAPq93glYNCG37NadPnMW164acd8oCpGm0yk+nudBF29c/f992QkmGTDbGdVTepBrocKhvM5UAizQWfaFdnQce6hD5Ijtc/FaF/1FEyPGqzUIClkm/THG/DnkOev9CSLGpiMoBA3zGYknEFRsp4aTOAMJLFT5hWMQ3IVKqV0nOLb0s7zAFrtRjRTw2fXZHU2wT4Feyedo+c0PQ5Pa2pbAwatGgPcgHSPls1K7bLrSvVMX8OazBrk3OrWG7V/7VQCAv7yC0U0TpzzGwas7O3iAx772Qz8APPsSeCIARXm7N26g/vAjAIAtUqjzV1/Byy8ZVNnb3/EO5OzWLi4uociN/9sppCdRC3lq6R4Cx9egu2DCfMd0cqc87k+aHUp2JFGMoUtz/Kew6oQ6O6rE0E7AJKIhlaUTwh1cOYS3yMlCi1VEXOvGwwRlw3y2Z6ky3QwlBxYUAvCbRK0ID2HVdpyJiBXATsHpR/CwQB+JssIhnO1E2AngJtOdVQJdN2lSo2OnzUk7lauEHVFSlQIhEURDXTq69ZvWTMe6H4RoeibGdNIJ2LzEy49/CT/4Qz8CANi7bnyh0usjpC88117AvZyCGg/GuGffrGubKBFzKMYnbhq0lpQCIcVdL957L06dOgUACMMQL77wgrmux+KVpaMFDsmslZ6iUL8jNoX9m3XgBLoDGshM3rQc1wAioMZlCRAVlRCZIIIcTcbe+GYfmr40bklEdlrjMEFaN+8LmQtF3RQe0V0DTyBpUShbAwGpa15pB4kIpC0K/qalGw6wpAUsydjnOURQUIwR55VAh910T2lsk5rdIa1k6GkEvB+1IEBOet2rgx7e+qEPAgAWmwYpOpkUyF80U15f7BxhkTHi/noDMWlMdn09yjP3HBwuL+LmrvncRa2wMTTr314UuunAHzs02UNZzE6cw22REj5jptAl8nz6ehcZNBCR5j6ZjE6+/Q7ZbFcdr1+P9TS3MOZBl+aarwYCQTl9e0BU1IRIh0GZocE4Fd8cIG1RfLgZudiUjlKk/NlOc837I0djS4VAyrVOSQGfsU7wO0JfQDEPzzMFMlqxpCUG0xMBAFSgIOhPZ7VAZ+YxtRPpIu4rBgUg1ZQqa6mnQ0+7aXvLRKCtv/ktuPzzvwAAuDro4uxCGwBQDIbIwEmCvK7V1VVoily3Tp1CnYMZqvsH2OOQh1G9ioiI/H/92iu8/NpRgEYzU+cAQ00Hjt8696OY+S8hoGGHD9wNI2raBZ8ZmQdMqWf2HmitAK5ziwGgiF7PhEbFsgL47pEqsMR1Jbzex4j5UdaOkXItEIlGSV9CZp6Xc4MEq5bSLEq8ViEF1Q+s0gNUaQdCSQwIA1SpMtcKwAoEelamgrEyLErE9O3VEujwkvpSosd1TlN+JIklQJ8JhDflP1Y9xzpv9M0xjJIMbf75QJeI7jcU6g//+J/HF3/5VwAACw+ZwT6X/tp/BjC/vvxf/R1Hd1295x689JnPACDKjWvax7Zu8LrPoo01viliS4jjIeIYC8tdQNxJ09rQ4ADh4mhZ5NOvU8odk/TtHq8EJtx3oYGE601L+Fgk2rpnJ64KBcX9vLrcQWXJPHd+M4LXoFB8f4KCeQ4Yl9LuCJ4dUCGAUctOAdUIiEBv896WEvDbHL4zKZBTXmlBevC49xtaQHiZY0L01/kgwLawSFMPiu8bc7LoWE7plRXfcxokEwFM6GNtDqsbTTI3fXhYKnjSTmtUCK2cg50cLCXkWTPYKYmrEMwNvdEIRYP7/CTBmNPRP7pn6gDSE27tWlhYQMz16vTZsw79njE3MpMYj7N2Xv/zG9sc0TW3uc1tbnOb29zmNre5zW1uc5vb3OY2tz8Q9t2J6NIKx2p0QswI3b3eVFnA80218FNXBvjbqwZhMlIULwSgbJVykqPN4uVQ5+h0TF+gWQ1QIW96Y6GBwvK8eRwSHhIir+qejxFL/koCghVVK8oa+p4bOd4WHhKrH6GBgh2GiUVgFAUusXv6Spk7UfnQ85Czo7lMFFciNW5QaPicjnB0j6myhtkEPiuftQG1EDyBbVaSB2EIvWp0bnS9jtXYoNh2ibpJ0wTRV580B7a+MqNfq1CzVVbPwycoJByx2wip4VGj5/BgH2cuGA2n0bCPm9eummvVNN+1vnHKfig2Tp9Bh0Kag37/bmMmoDVQazSOddwLokSE9CB4BBZlZnjD5ne/+soBfum++/hBEoFk54mftR4GSKi3tugF4GR7nK3UIFjh/9DCIj5TUKSe/tT92pM4+7DpvixMEixW2gCAl/UQJTWYSn5HoqQ7nkh6EBT0FEqDIBxU2UGKPDh9gV2pIIiEkKVymgZNvr+s+Sh5HZJSYYvdFyGBJrU0atS2UQCuv2KGFERFhmzVoAIr7TYqyly39NSaubYrixCfNiiH5lsewdr9D5sDqkW4wEEHh5ubeJw6XwdE9J2/dB5jct/vve8+vPj883Cmp9pcAPDqKy+jTvHopaUl9HqmY7O0vITuUQed7l0acHCbBoPDlUrPdbLUMVQOfenlXfwXF80ze0rG6Apzrna8Rnec4YW+8ZO3RnUMexxBXAtRqZhrLIMAB9QFaBEd6sPDtkfElvQR8/4WAggtCoGxKQp97BLJuRCE6BHFk0E4Yd8FxtoyEJDspMrAR8bO9lKtgoT3Cd0uAMCrVCGHFBoPqyiWDLoPhzl8xqyV5QsAgOV7LqGgflZnbx977OqUe7tYWjIoyFP33mOuw6WL2P6U6UCunT0LbJpuEeLI/A9A+54L+PSTTwEAbrLLXYt99Dvm3F586SV84IMGufHE177qukjHjTobQjrUjSqKKQLnbjW62TTVx3QI9PE/AhBWl2YGNfjr10b4W8sUABViCp2yCNVMQRMVAA10++a8a5UAFcKeRBAg4VpkNR1FoZAzbjQ8D8qiRqVAQX8Z0ofCWujW1nGRQ8dmbRgVGgE/w+pZBmWJpao53uvpBCmPt+pJJ/6cjKj5GHgOCTnJFYqYunLQqPFzMyJoqg+vQTbMOlQPJCa8VnlZYMz41l43sWnSqGHthkGjYv8QsfXjUrkx4IHn4WPDrjl2Ql5LT+Oxt70VAHDt6lXUiPjKshyNVtv8bDUoy9KtJdLzoDmO22j3zt7fO2xiuk4AMHkUr730PCemPEWlFs6XfutGjh+lSu9EA1Urxsw8qMgKSHavIQQy+pIXe2gQexeGgZ1nAsFcSkNiwuZ2VXoILFSiIgCOOrfrXFAPUHLN9EsNQb8rIRwyRfDz48CHIDpiTykozyK9DLoHAFaIctlTKQp+RwYJsBMe1iJsvvAsj93EqyzLnFbha/0+NGPM+IF7sPmMWbtq6+vmuIZDvLVjOtMjPcTZYqqBlvP7OkuLeGLT6OPYoQxZeXxgSqViUDxpOiGK1A5VARERUxix/UmVBbL0LvnRN7UTKK9jVgL0hd/ZHONPrpvr34NBn5tXUGstK1BYbTfhwSeaMI9K1Lj++L7vkAj22oXSxzAw970qPHhW060CNKweF/3Ca0YoqWPrlxpC2aEZAr4dJkU/jQIfmuidRE99yBdT/7T5o+dN1axGeQm/ZsXxNVpEKTbPm/XraDTC6vcZ3aRXP/27GFet+LVBUgDAymOPAgAODw5wmv6fBD48xu6e7ztkUfvMaXyRGnMRdYmDSKLHddisH9O9k3vmLWIKAnoGbT5d2Ly7C14WzI0swkdgiuAQYsbF7ZVV0PSlT97M8UcXptq3Ae+dfcb8XKNMLdtGos5w209K1KldO5ESCZEodd7zQnsYcU8XCYlzfPYOhUZk7wP/ReRDEpmq8hK+Q+YK59tWSq8e+PBmBmUQNAYfcANyAmV9Srk70E8LeBV7+gL1qrm/1R2TB0ohMeC5N0+fQW3JCM8/+9wzOP9m40On/9iPui/LPv47AID20hLi18x+bJxlWOcQl8uHR7h21giE16kf2O133oBRdRub1dI+pqt08uc7a+pELiYk4HP/IyCQ89pP9VUlrMDmJ/YL/LBJFXCrKLDCdSO3JLFEo291JqVENDA+E0Q+2szBiyBAYTX86DOe8DDh3t7EJfP7kQ9oi0bll3itGCl9MSz1lHWjgYL+ViPSTgc+MiLXcq3deuxJgdQiV+lLwhNu/VClRk7RQgWNWoV6ibtEFGqN1OWWGn17/mr6iPrcuyejEU5R367XHyKgdp6nNPS2+Y6W7+OTRep+Dxhd7jGH+W3fuuVypkqlgjwxv/eoA1YWxe19SXjflvbbd2ehC8IhXY/9zhmTfjuqRQiU3NwtrzYwrHEBSDIQYIiGFReEwGsUoD8/yNGkw9aVhuYmetX30OmYGzuxHyCBCReQST2Y8o0mBbLC0i4oKDzKMeSDVwQSGZO7middIgcG2EArbFOsOUhKlIQ3jrSGpiPHTeMgDfiQkfl7x4+xzylop2sV1JnU5StGfBcvXEG2YAJaazzGHul31aUV7LPAtXrPJXM1t3egXqRAq/SxQ9reOgQ0kwfx0IP4xesmWFqKofQEYiaCncMcIwr3DjlhEABG3PwuLC4iIZWgc3SEhPSRKIqQZSeg/HfYNIwAni1uQcjjE9VsccLBbLURywTQbjTwvDTH94gXoUanrPI+Piwi6DWTJH9j+wBNO1Wo08UpK0JclmgMzfd1rJ63AF69YkT/C1/gUU7/OKN9jBmgrajublbgkJtCHXkg8hbNWuxEDw94DYPAx4gQ68k4N6NcABSQ8OhbadUGQwFlBQeVcpO0yjyHZxd9CqauqwiVdguAmZQ5kObVC81FtNuG9jHgddy9eh33MjDGvSGKq5sAAD+O4XFCSOvMKXzVTjEZm9du3trCyoopyDbrDcR2A5BMYJ9/u/ldXlrC2XPG13uDAdZJJapVq+gedXDXbTYc2clNqoT0bGHEUq2lg+gvtls4tIVuVSC0U6Cs2LfQuE549APjHDGpaEVeYMTP6xc5qoS974QUWBYKQ6sv3QgQ86u9LJ+K6nKhT/s5WCfAnlAIuKDKUoHrP3qc2nR/rYZX+UzIJEcYmldIKRCQEhJSgFKkGfZJ15G9HvSKScKKnZsAn7VrB0Y8/tzpD+H6ZeP79VYTL1w19LDVxVUMmLC/8ozZgD52z73YftW8dqVSR3vTfIZ41zsB0svLg338E9JYJePR4eE+7E0a9Hr41CeNWH2eJk4c3MWdmYVUa40zZ88DAG5eu3qX9VXNAA+zgZpukqedBmGKEQC0ymb+bm5gsx5ik3Hhgh8gp9i/Jm1MeQIpC2Hh7hCL1i8UUHICUFNKyJH57D59M5cSHJiGpBK7YSFRqeBx4xlb0exh7gZalL7EgHTaWJgJicCU4eR7EjdIU56UysWY3BeoWGFhOwXPD9CXluYh0OPUHykFmg2TgI1INb/62msYcc2phyHkivHJcJjia5//vLk+9z/Ia5PjtKWV3NwBKDYOX+KI8SsUwM9wiEdaWtF+Dx7jcVGWuMYBHOsbp7DIuHi4uw1rdlBOls5O7hSQUjjh9LtnJylldm1jfuI2AAJg02rlVBOjxFzDitaOVdS2Gz5odEnHaBwlyOmvQaFQ0O8akJAcuhLa+JAU6JPmPK5HzifKIkfM3CLmlyXDAiUpSGngI3OFoymdgmwvlFq4KXh5UmBMsfOhnq4Riv/WpYch70eZpqg/aBpy5cEuCsmCb918cP+lW9hmQ68t4IqxB8MJNs4Zqux42xRKZV5AkSp2ZuxhRF/SQYCbzM12r1zGL3Iwz8gV2KfJrYBATiq1UspRtv3Q3Jd0Mr49pUOI14mJ33mzx3mb4pZWkDxWV0wBYLUQanGIgRXOlxoZG4RtFp7KUjv5D6+TIuK6KcoAKZ+ZuudBcqOZMO/NpUBih6ZUA+sOyHQBj/5ti2LFIIdgXMGMP5VQ8G1RjH/OMB3WMUxTCBaqc0+4KX5d5m4N4WHg2YlkAXo2JnoCmsdgaW6LWuBo28SFVrXmhPT9QgH09d6+KdgvLC4hvGV86/QoRfeWaeqs+r6bitcrFX7qpsmnUvpNVujpEJxjicnrNlHmdbfzG10AWr7u9XfMLHhBWkL6jFwAjwyYxk1AQPAZWFyuIhXMJ4WRjgGmvqQ10K9xqnwvh+LoVp0VGLPoWfd9CNv04318VWXOf/ZC6ZRwSqUhuRe0f5fD3IEfROBjklsAgEZghcV5XI24ggOu13maI7D7Qi0gec5D26CGh27A2ASBkp8VKYWCAIph3fjJn/zTP4FP/vIvAgD6N2/ioXe/01yTsIa6bSxePOOuaPiHzN+XwhC4YPZ63mc/i/YDZi3c+sbX8REKhI9t4yqqIMtu1wh8AzvmS9P7OS3e3OGpiwLwfYm8KOH7luaqUZa2JqDgUdKnyG1jBm4f1I5CJJ65NzWtoZi7LDCGpQpA27zfO0qcH4hCIWOTr6GB4cA8ezYu+b50gJZhzXdXYoISFa63E35HtZtC2L2Y7yEvpv5Ts8fBmoIngJLF2q3hBK066eqFQuBZ+isbAwpuSEYeeEhZKK+FHuyEM/uc1JPCDQCp5hoZDzgqFASPYcy1La5UIPumoXMqrqJKqQK5uOAKtr1KgF95oQsAGNkhGWkJjG0uMqXYj0cD5x927ZBSzoAD+AZn3zomzamLc5vb3OY2t7nNbW5zm9vc5ja3uc1tbnP7A2HfpYguS/exLWE9I1wIRzWzHUsBAVWaauHhrQN8mmNXf0gACUeGN4mq2pclzrL0PignSDkSujnOka0ZhIA4nKBcMT/HR6aqOZAavhPXFG6cb6ZLRHVWkEnzkgASdiYCPTOqXWtcIOLgiDjXodRQiamAikKjxtrkkYRD2LzE7vJbZQMjVkB3FqsAkRfX0gQPnDJdSiuIF58/h96LRoD3KEvg7Rlo6lgFqL7jHQCAGzcNOuJ80AC+9FXzZRfOYJ2C0IgidNmB+r0vfBbXicLS/F1RAgm7n4tLK2iys11vNLB9y3Sd1jYMzH9/f98JJ1eqVSwQbba/t4smIZJb27dwp00IIyI8mUxcB9QUsqcdMPv7glV0ISS0NtXw7tEBfooopP9zOME7lgziyHYuzwgPOZtUb6vUcYMV9XuDCH3SbZ7dHaBoU2S0QyinLhBZf6nH2KLwZqYLBFXzIXvWLwRQ2Mq3lgjo94M0R8GOiYVHp3kBgrCw5IdI2SGahL7rcAtLYys1+kQs5LEPSbpEBAm5x2o+u1F5keP8PcbHqitLOFc3tMH+lSs4uGHudTExXbczm3tYJbUlDK4CFLm/+eTX0TtvOk5PeEBWM/edmofYWF/DeXbNVVnife99j/lcpbC5aXzDwpE1gHPnLwAArl67hpLHniYTrKytYjA0naq7ZrftpgtHMXDCzwA0B4wfdbr4bY7j/fHQx4TC3jm7RhMP2GBs+noyxMNhGwDQSHKMGJvirQmGG+Y5S7fNM70vtOsUaiFQWESDENA1IrZIcxHCIDYAYEl66LKTp5WJRQBcp+eF8RiL7Nq3ogAlx5130jEE45ukL+bjFCVhypV2AwXPs9pcQjy09BNzbruXr2CRiK+x1nj/9xtaYe+ll7DH+3v6/vsBAFs//Qs4R2rdAiTwV/6Subx7+ygoOv3V57Zx9u1vBQCUv2vg+oZG5og+GI+HPH+J0kIij4kr81fQ6PV6x395F82QkQSOcSNnqQN65meYQQtKmevc2x/iKxcNJW+jP0DUooA1l/1busA9RD0PtUbGDmA709hbNOtQ5XAMtWx8a5lU2ZtijJiXJhUKAf1hoAo0+LC2Gb/9vECLsem5dIJFIgTTQmHMc7Kdzn6e4GxsOpJHReoEf5NaFSljR8h45vkhGqRBDsscHv8e+x4q7KaG/FypPKwS3bl0/gxWiAjp7ezhgP5r6cE/+uINdy0hA6glg0bt3trEhGvzlzyNrcKiBYhcXVxFhWKqB3v77hYdHh5CztAmANOdtGuJns1dtGL8ultIHA2HhgdgEVz2bxXmQomlI0uBMje5xe61Dp5vm2f2fSqBp81rJZHyyhNY4logNKCIeEFaIm2a61I9miCjeK9HX9rTGageASXg0MpQwJjxL7YUPCGmqGrluXVMaQkR2Ncw7ypLlETS1EthG9YY+wI2AhPwhbwQDuWzeN9FcFnGpNHCRtPEoWbD+MFWdAtjHkPue1hkElZ76RV03mnypuyGEW7+U50M8IkIhIKmSHgiBWLKRrycJ7hm0R+YQYzTmu02BhxQAw1YcFRqu+JCOlSnec30WklLmbqzoImpObHpWUTZDErQDtAg/VUIAa046GY4wQttgzL5gWSEnDQsu24MPCMKDwCFNtR4AGgUGgMKzOtuArVs8owW/WkLBTyXxwlHp5cKUFzrSqL7Zuk9vicR2uEvWjhGhd1VZIUCgTVoCx9jvi8PfIeWsv+WRQlBUegcJTz+3vditOuU6OAzFp05jeHjXwAAVNtNaA5n8uMqhkSs29h039EAy8wJe6MJAgrT55MEbd9cv0/fuIZNRyE+flxTm+a2dn1Wbh2ZpZvNvk/O3O+7YMy5JZ8BjSl6y+TbfBlvSBhGpPgCB5tHuLzeBgC8T02g+GyFRLaPfAEyG6GRoc81pFZKdIk+0d0JyiWzzlW7Zv3MPGBA9LOMIqQMl3GhIe1AKO6nPKFRWGmPUiAU1pckMuZNPv1rUpTI+bl16aPNgUD7aYKY77uvZmKm70nc4n28NhlBWnosBE4FZo2970/8IACg53lYXjf+lT7yCBLm2FlvH/VVkwdgk7T8M+vAFbO/u/wvfwX3vPPt5nMfeQg3XzHyDumHfxTvZhy//ElzXAf7e2hSBsCXwOUr18x35MUM4+VbmPi22Gb/Tqa1QQEJCEcfBBSEe0ZnB/vYw9HQubnn3X6Cl6rmuXpL1gcsA4PJSM9TWNNWrkigT59YyEr0KsYnKp2JG8bS4D3YUjkinrMvJMbCUvABTUSW4jowhkLK/CKQgUNmFWZqBwC4GCcgkNCXFjwfgig1z/eQ8vzt4ANVlGgTwXpQKjfXIIBAsG3WJksrVEWJkn6bhB4apP5WNbDNdazKARjv6U5c/EFUwRKF6fvPvYCQqLrHGzFu5JaWbOOzhLJ8Xkg3aGJhaQWHB2YwS+BQeQpqFoHn/EfD6fOcuK+zNkd0zW1uc5vb3OY2t7nNbW5zm9vc5ja3uc3tD4R9VyK6XN/o2NjlGQSO+xU7eq1lxNRdOdjfxWfGpsr6J5sRSnY/qjVT2e/pHM8TxfBQHKO0HQ8p0GTlsNaq4ga7/o0xBVOXaghuGe2fQlRdFV8qgYxdSklNnVIK10sd6wIeq7eViofr1LdakRyHDoUquweZyhDys2p6irC4wM72KUjssExbP+jgmZbpdskkw7DJriAr09VJ5qqth4c9VJcNym3ZD1E/Yyqya2umC/Cpf/Pr+KCtjn/lKaPACQCBhwYr/p8ejXGdqIipJKrGgPoTfaVQsuJa5Lnr1ly/chUAcOb8efjUg+ocHcJbNB3UOK6gKO9WS9JUirMsY2d0yoU/pmNi2w/0J+FXHa8+S4f4AjVs/rs4clXlktfouVBil8i6+9pNJBTZD+MIXVazK7UIAa9ji4id3aUq0h3De46FwIh+GOmptojV1Co9gdiOsM4LKHYcUq1QsPNoUV6FL5C5Lp5yvOegUE7TxPZBIsD5iCwUCvperABNn1xeNwis0wsrEEQeXX/xRSysGqRerQDqly6a60a+v1hcRvrJL5rvGgwR267JhbMoOW728uIyrnP88blz5wEAo+EAKbsXjVoVI6I4BqMxTp02PpsTKfHA/fdjk4jEMAwAdoR73S4OD4+mYr53y44JJ1qb7ZZaEfcqKkQ3DUd9fG5ozulDCxHCzApOmvckusQ32Al6wJO4Rq2EeiJx0TMoruZqG09QnHKNML5kvY7oqkF3Qdac2KzOiunhMSCpQCCk2G9VKfSy6d9zKyJJ/4pDD8QV4KAs4BFZGkQRSmEFzKmDA40kNp2ycpKismJiU+lX4EXUf+Dnjra3ISpEjCwsIn3hJQDA0jjBxo99GADQ2zQoweuPPoy3cjgDOkfAbxnEFsZDaPrERzZv4eMHu+aanDbInv293eltgYDiNfP8aNqZFPY586coLwCjgXkulVYQ4jvQKxLA8Z7UcS0e8ysen1dDRH9SxQi/SXTTj3oaITuGKQdJdHKFpwlDPu9JZOyY+b5Eg8+kbFacQG6DYrtiuYZiyzzL9Th2mg3xoHQjrT12EU/FASY81NYEmAyNz1YrkVsXW0SV3ioz3GSsjL0pEqHoDVFY+A3jVTuOnVacmiTw7TFkJRIiXX3qS8UQKKibNFpZxJk1M9DgsY2z+ALRFItnjF88dWENj93gswIFuWXQy5seHEL6V/Mc18a9Y8ezsrKMbWrtrK6vY293Z/p3PfUjAChVOdWa0TiWxwjM5jR3yRw8YvZ3pdOk8xkrfS9CRG3P7qCLx5smpr8L086vT62hkS7xJLW4HvGlQ2d7MkTLQnKbMQJ2lBfpi3srNdRvdM3fZc0hlvw8d2LzinmO8qVDx6FUDs1YSkCWFulgP0A6pOGoSBFa9FepkdJH7Xc1fA+KMW/nxibOX7xgPistcMB7KvYN0qZ37QYqFPkupUaDaPPR3hEUdUouUiPuyXKAt455fYvC6Tr5qkCd6/LnxgVupiMct2nLut/tOWQWAKeHdyw/EbfxGa1nxJbvkmmitI7BM6Z5+JRxYWNTFT6fgSLt4fMDgwz5/iogeawZn/MJFF7j+8/6En365mI1QM0iFFoxtM13cxub6ihudQEAFd+DoMiW1NptdmwergOJiJ+VlaUToxdSTJ2D19YLPHc6SgA+rPC4QspjthE6yQv4EUWUS22G0AAoRgkGR0a7r80YhMEQ5x99EwDgtReeQ1E3vtMuNPp89tZPG5TO/lEXzdygKGpHHdSY8/lLi9hj3vlbr11BSpTSYsUg5o4O9x3DxJ0fQGHqk9CaN4LbTJ+3u2KMh8rtjATsFdVqZjgDj63ebDuNoMm4i8+kJp94h1fA7q5y3pceNFLGtOWZda5WDVG3uWczRpMDWCz665WFGGrTxHklpNOdLMocwp/6FQCUgQfBz9JaQ1hwidCwikwlfXw7S9098JVCTt8OIfDWJZPHNXi6rw7H8IncC4YjNzQjUgoHfaPRdp6ff/4978GtjolTwbNPYbBrcpyHvud9wIUL5gOZH+O3P438y18GAKy9/R0Ah7GMn3sW+y+YQVGfKh7EU9QStAMx6o0mpJwyXNxgnm+J5prxHX0c+XlnTRvElpBO50lDzMgYahcu7Xl4QdXpZ086W/jykhku9piEYz/0A7K8lEaXOfgpqaGJUiq1djlT0YyctpfV+N5baSDbNPWBUEpUmevqsoQXMZ/2LDJeocL8VykNj3v2QMpjjBUAkL7EEp/3SaHcOgcN54+2IrIQ+OhYLUuloJnfqjxzOqo+n/HQ95Axhk2gAKLgo0K7a2J1MZ9RGb5PmmNY0hq9502+nldjFIfGHz92dITNxK5zdv3VcFFzZh0Z9PuoN1vuOAFgPJ5ZI48tNxqvj2Gvt+/KQpd7RGYg/7OB0Dk4z3/QPXBC2BASX+8ZWFzcOO3EYJs1Un+UxjOkpT26uIijjikQ3dwfYIl0xX7FxwaFAPfqFKDPC4wJV6yXykEMi0Ii4aY6jJlAQrgHJBACihj8qCiQ8Zg3CfGOpXQQfBH66FnqhhCIeE4rhA02fB8Bi2ZJHOBC28DuLz3wMMJDk7xXOEXy+d1tDEkPOndmAzIxwfYgDJFumST9/nYbAPCuzgigeDhK5Yo5w4UqMjrgghQoCCW21EXpeYhIRUnGI+TcKLQWFt29sQJ0YRiic2SO0fd9DClc7fk+/MBKPt5Fm512NQPRFrMynsJOWxsjc4mmxjM9c72ixQbATbDHySVnRwnuI6VF+TmyDZPgpCLENU6b6wXAOq//NTtVJQPido3fp1BQ1DDwPYwp2i8JlQ094YQQCy3QIzmjnmsHx1f0lQDThMz3PUeRBUpHcbCJme8LRCwsVX3PTGYEEE/yKYyftLHW296KGxT8vu/t78ARixP9Wh1HX/4aAOCx9xmqYfS1p50A4041QiUy93cnEqiQppFv7+AZTrxqcHri6uoqSvpYs1HHIWH+/X4fl181wxJsEeeZp59yk1aSJMV5LvSNVgtCehjeVeqinkkKZ4Pw6xPLMhtimE9pjE8P+Qy0NhCz4J6FximWkhJHjNgrjTpqFJNcHCvk9MfdisS5vvm5S8HndJxDLplr6GuN1LfQYR+qsKKZFAYWwnCOAZSeRMkBqueV72jRHpO8UmsnXD0UCjFpB3vDLtpV01hocaELuz2sPmQS+mxvFx7jQtWPkXZMQbN93lBfw0vnUV0zm+qDzqErtvpvegSbj3/JHDupcWtBhHjCe3nhPMDpsXnsI2DBIx4O8Yfe8TYAwM1bhuL6/u/7QXzh858DAGhduuS4LKYTVe2/qixdITrPc4SkaEIIR4m9i0OE/q1MZQPo2MQNAYHnbl4HACSnlrEsTIwZ8vgXM42cwrunFpq4xbXu8m4Xi4smTvUiDw1Ov9vha4usQECqtVAKJeN9pRXD49qQalKJSt/R7VtxiDoZbb3OBCH9aIvF7VIptPjMjqExtIMOxHTTU7exdDxyG4+mI+YCtbzEImnTcWTW606/i5BC4JODQ/QqlCCoCyysmAaPJN1sZfdoei9V6Y4Bqy20SEdfHY2g96YTBgHgxvVrbjjG+fPnXCFrf2/PTRMa2gKpUlOxVa0hZmip31E3OkY788xkI8AVdXOdYGJHRQkfL++Y51SuVSE4VKBk7G5nJcZ8LNqNKsYDc/87vQm8NbN5zyo+WoxZN+lLh/0RLi7yfhQlEjtpMw6hmS9MKA0gpIZv6UGhh5SJemVSuqR+ZGmFpUKN61i9FuLGwGzYwhmKmqXfSiFQs43LKHSTNpeCGMsbpljus0B7WRXwInPw5+IQ9ao59t1qgtHTzwAALl0ycazevQV4tem15vo5WqihZC6xkU6AoS2sz25MbA6r3HAZIeV0UIBbXqaF1NcVvO66GL3iV8yudbPHcHwN1MUYBaVAgiDEzZGJNyKuIKBfZNy0NTOFhK7Xrlcw5hCDdJghXWQMCDy0mPds05/ytETc5hCSskTODVwtClAwj8641vkSEOU0t064gY1S5aaw2SezKAo3HMMPJAaWCyunzBk7obH0hWvIVX0PS8umaSs2d1HntEWfx3LztVewy2JC4+x55IxDkySDZGPQYzyL0gIei6lJHGCBMe2yUODQNCzVYiyTBnrltVdn7gU3l0pDMpZGcXScQg3Qv94od7nbdqLI5pbhANOhK6RuHm2jVDYnDnGVe4fRSg0NDlIBiwUtpd1wjIVaBbsEOoxHGYpFE7MReFBdUospDTLKctRJZ1RKuYaNHwZuGrmmLwXSNDAAQEQ+hkyQK5mGdEMXKEWR5i4HH3twnxXEPr7UNc/EA6TJHwAoeLx1CHh2LU0L1Dn8pPcLvwIAeLEEzj5kJrW/98d/HPsvGGma3StXsGbjxttMHoR6AwGBDMG508ADRgpi93Ofwur3vg8AEG9u4/5HzOeFN4yvHR4eoMJjyzwP7abxzSzL0SCVza4fA05LN/Yd9CVhaLZ2v2aGeU4pfTZns2twno4cnd3zfbx83RQQ4/UqNKcfjpjPhrlCxqEUrVqMMePW/iBBjb6UBRJV1hVuxeY7sqxEfcmsg+O8QM5iezUO4PF6ZaxS1aXvQAUiDpBZmaNkus65smJZQJTTa2u13QtPIGRTyQrCp5jGnQXPd37XyjR8Nnoi7jm61dDFvkx68PiNB1mGSE4b4QCwoAU03+cNho4a3K4F8Ogr64EPdG3jY2bYzQwgwDbH6jOD6SauwCVOLDMzhe9vY6DBnLo4t7nNbW5zm9vc5ja3uc1tbnOb29zmNrc/EHZXEV1CiB8B8L/CEGP+mdb6fzzx93MAfg5Am6/5W1rrj397n65PqGxOu1oaJzpcWs3Qz5T7/dtu7uFX2G0p9gzy4LGoiheJnumkGeywW98XKK6YroF+9LQT0G1XTZV2sn2E2I5DL0uErN77Wrgqa8b3eL7EIlEKm+PEoVCGgY/CQqV5uOe8EFcL00uQBVDjuaVCu2P7XMcc1z1rG4hZKc7gWT1NHNy4hvOLpnPt5YTXt5fxLCuhB2mK5a75DLV2FgVpFxNWq9ulBBps16YjgHDMen+ID7Oz+/jBNjpdA5WVPPc4rqDVNsiLZDxyoqpnzp13naSQNJtet4M2XztJEvS7XQAGgVOv13H3Tc90VAVaC7yvkxRpYq7/tNkkjndRec+a12/hZYrrn6MQ+Bk/wK9o07H7QF7BArvXW6M+/J75vTi/gCoh9qsL5u9P3dxBhf5UaAUQmh9IAeUgqcZ8KdDmdXx1MHEizkU4hdu7ce+lPlbd9li3z7WGYqfbim4KXzpRzVDPdBF8iR7pYgkoxUoAAQAASURBVBc4lnctiDBcNT42GgzxyJvfAgD42hNPoLVmUDb1r5qOt372RSQUYKy+chlj/ize+ib8Pw67AIDPXHsVDd73zqFBYHaODvDySwZW/YEPfABjipv3ez3E7BycIc2xXq/j8mWDMPtDDz+E06cM/P+Lj38BcRxNxxvfabNoQNd9ONGJcFf/9V14LaTzqz9y6xC/umYQlwuH5jzbnocXmqQ/JSUuk7q4WKvCu2ri17WLbSySmnbE8L6YlGi6cb0KobKUAGBItKSwMGah0eBrd9McbT4TeeghtAM27GhtJXDELkyiFAL+veV5GLGjdUCExnqriezQIEKa3R46pDHWFpeQkDZWZYc2f/EyCt77G1evof7oY+bnLz4B717TEX+YyNUre3vYbZnXrnU6ADu7R488iJ/4n/8BAOD8h/8wdq8T2UQR50atjsVlc32PDg4QW6RQmTuhZ2HHfpcFVtcNwmnQ77luk5j5/39vdoI6qSHc8UdxFWDX9wf3Ejyxau71uV0Tz+73fHzWISGK6ah0X+D8jvG5F841MWHnrlox3dvqYQ8X+dwnqsACZQHGkxQ72nb5SCVEiQ12CzeTHBZHudqsYkg/0qRuBEKgX0xRXBH9SUrphFMLS6/zfUSMXaGUyB1iVWDEaxL0zHrTmOSQpJj5UYziwPjI13b2UGe3/H3b5vlZ0cK05wGgkKgzri4lBX7swKABn08mDvFhhXnH44lDIe/v7WG2g+26kg5VDkRE1SXJ5DuAvKFpdcJfNKaYlVlqyVQg1o28USXsOf3lTg3/um1iy0rH3I9V38NXmTeVeYmJ9YMgxvkd428vX2xhwqEq1ZhIgIMelkhnU6VCQV8J8hJ9N9CHdB1Poso1qpsWyCxSKPIR8X0518k6fDfEQ0KibdG9WjkkoD3zhXoN+ZBivBpoMfb0btzE+n0PmqtzYHzpvnoLl7U55xuTCd7PY39hPHK3d/jiy+ba+BHcqimmFIsgK/HHSaV+fNibufQztBS6RBTH7uc0TfB6m1lfZu+hmMYvlNnJN90hEyf+PYHaEMcjpNbKdd+DwEdI+YP/aCfBLy6Z+Lt+YHyl4Xm4Sh/ThXJIvYYMEG+bHHZycQkZfbW+SH866qNKBENelk4AvA2JrlTHjif0BGpWnHmSutwbUYCI63RBH4qERMZjUIVG5Oh/M6gvxsnA9xwNyQtCaNLJpFRYfOTNAIB7z18CYJCgW0dGzsJfWHBow81OBwsPPwIAOE/K+ODWNRwSFao3NjAhon3p/Bn8xBcNav6L+9tYXzfrmudNn3XlqJhwchWTydjFISelIOUb0tD0jLzH3TNzbEYxhD9LCX0ib6pWK8hJQcyyDIr5xn9+FOPXlsw5tQYcbqUVrjaJ0MtLN2CpIQO0d81zv7vRQJPDOCL+2zjqIbYUbT0dvKTLEl3LuOK/gSdQ5fU+GmduYI+MA4TMayZ2z+PJqV/BQ8Ui5AsNzdztCtdwz/MgeLzBDL+k8AUOKXNxpmooqree+Are89a3mu/a2cPKmwyCHkcd4Hvfc/wyP/gwwNfiyaeB50xevfiDP4w/909/FgDw8Ae/F+2miYXPfP0JAEC300Ova87nx//Mn8bvfOp3AQA7ewduaJjN27e2d9DpdHihxEx40I7yiG8Nxvm3NAHpeVClgnJIH+38tixm0bI2EkzXxbKc7gP/yijGP47Ntd84Yk7lCdxqEZmXlxjwnnqRB7Ftsht5YQk5MWKWglh0B86XIinQJQorUBolkVxkM8IPBGpczzqT1LFx8shHZKm99J/Ak5hYNJUnkdu8S0jkFhVmv9f3bTqIQmk34KMopjnvAvehcaaxv2724+PJBL4dGDQYI2oZWuHbF8x+L9naxpD7h/1kjDNEPO/mJf4yffSFPMG99xnU4GuvvDi9XbfJfTqHh+5nMbOGlG8Uer6N/OlbFrqEEH8NwC9orTvf8tOOv88D8L8D+BCATQBfFUJ8VGv9wszL/jaAX9Va/yMhxMMAPg7gwrfx6fz3Nic4s1m8PRFAAHQi4Ud4adk8nP9R19zoW0rj7Znxhi2kWGHQj/3YJfz1cQqPhZ8JodONKHAQ00QrZJxA2A49NDl1Zkg9MFUC+4RJlxqo2OJUqRDS+awO04vDEep88JJAQDNA5P4UIurxef6lo308SK71s8kYD3JDpgYjHHAa4OkLphBQ3dnGg4X5+4v7e5gsmr9vLC6gRn2l9rYpMKDdADhdw8BCqQdVKvzHTDB+5+pL7grbhXIySZBmUy0cS0GsVKvuFvV7xq0azRZyno/veTjD6Xq3Njdx+swZ3F0zSajVlSmLwp1jvVHnhDZMtce0PrG/5X94IT66YoLA/+3ALKDXygJnh+ZeL1Y91A66AIDOqSUc9k1grGQFOnUWB/lRfuBDk86oNaAIM809CZ8LajbiRMVYYNclBXB6NUppBFxEx3Z6XgE0WWQd+trpdRVSwMHb+e+wVBjw/dtZgbfx91GhEPP3OaPPrd4hxpzW8s4f/VH0qA9w1vNRpe+Fl58EADR/4H149jOGNtZeXUJz1SRmr6Yp/tg5U5C6VQkAZSf+meem66bdAZ/+9KfRarUBAOunTruAeN99hjYShDF+4AfNtL6Pf/w3MRqaBDGKIrTbbUe/uys2W0S7HZPjxGvsoi80oFkk1vBwa8UsNO/c7wIAjiBxbsxCtz+Nc68WKe7n560r4KrkIkjKj8oKZLmNNxo5k8JLQYSb9JWMWk6TWKND/9qZJNiomDhXFAqF1TSgH4zSApoLdqsaImMcU550U6csvWCQpxgw8fiikHgfF+o4z1BrmRisSWtZP72B16gf8f0f/jCuvGA2jqpRxwIX2fGBiRv3PvoWHLzEhXMyQcH4t/V7v4cfXm4DAK5HEa5T02s0MBvWhcUFXLhoNhvnz1/AkBvdG9euOGpixgI3hMAtUkqEnGo/qLK4ewXTf2s7UUAFkKYTiMAkHSKM8MKG8ae3bZqN1c1c4QwfqcPQQ8L4Ww1i7LGBESc5NKcG2+k+ke+hw0K3FgIVFi/OBSHqknpzqd0gCGxLTjksFWp2IpqUTuvBSRCVGhU+C2MPyGx1S8LpSVTZDCknE3T4xpsKeJiJWkV4CGf0jQBgtRpjlXou43oN+yysL/g+KtTBWbH0+LyYEcCQAKH+u/UYf+GcWYf+8+efdbpJdrNVfpOJP8WJDE0K6XQnLU0cMLJAQgjgbmlSCg+vp5DMFivsZniaFnquCFXCqhzJKMST9KX33OImXfu4n/W8XjClEA506WgzcVZAtE1BYzA2/hWFPgqbF2kgJBW+hHZTpf2EBS0oHNrDzUunUTmrk2SPPM9KNLiGDwKJZmS+N1Qldq2GG093WObYbxraTacEvKvXAACrzRZqLJxvslCu0gT3sXGzMRqgy1hR0RoXWmbD+QEer8nM7c8l7DN6q1bFX/XNmvf45dm0eqYxS0uTxK0Pvu+7IoWl5ZRKzfRMxIxmjp7R87o7ZmabzRZLzW95MNPfuHx8+rvxaIg16lR1J11cOWWuqfWnHgQ2BsYDklBC8ZqMpHA6tUFWoKzZycTmd74nUbKwJ7SGz5jlVQQq9ppx4mEGhZwOowoNzfUtTwuI0HoSf1doR12chAK5LXQE0+mWtlmUCWDAOLg1TvC9jDeVAhh+xRQMEk7HS27dxP2nDD32uaefQpMNudZgjGUeQcH8c/XCBaTUwcSNm0htwzOu4j9pmsbRE4dm0isAFPltCpyzTTghkWb2NdxsK3Xi3tk/i9sIL9xJs59umwHCPQfVWh0jxm97QOPxGL5v1iXf95BS88X3JF5eN+CFx66bxtpEA7W+OU9VjQFqu060QsTvaAogr1otZPqX5zlpB2iNOt18UJau6Qeuc2lQIrHXrVTuEU4SQHNPV+Pf07JEwKpGPQpxyLW2WQ0B+mBGvy2lRo/xeKcs8CCf6Sif5uCNBx4AYKaz77xicqV7PvzhaWXg/Hnglavm5/svTq83G0F4+jmAMiov/N5n8UHmTR/9xlPoU1biYN/sBYfjCR56+GEAwOLiIvb3ja+tbpx2seeVV40OndKlezb0rC6l8BD4trCEO26a0gAu7pzQBHPTaF3xV+J2sVdA4doZk09euGmuw1ALrDMujUIPpY0PUkDw+6p5AZ8504j3EVIiy+1+TiNWFvQi4LG4JLhuFFphQD9ApqCsfq4WboMoeZx5od1UxYkHSKsT50v4NiVkjp5KYEId7OvjHA/QP2pKw2e8y0n7zUIJ1ekCAE636uh0zf6pEoVY5DqW7hqf8DwPKc+9IgR2mIv57bP4i5RH+u+vX3PHZvXeJsmJxs0sfVrMxCN3Q6ZFr2OgE5tDfRNNym+HurgGU6T6VSHEj4hvP7N/F4DXtNZXtNYZgF8G8OETr9EAmvy5BWDr2/zsuc1tbnOb29zmNre5zW1uc5vb3OY2t7nN7Zh9S0SX1vpvCyH+awA/BOAnAPxDIcSvAvhprfXlb/LW0wBuzvz3JoA/dOI1/y2A3yFqrAbgg7f7ICHEXwbwl2d+gxP8oJkDVjP/ebv+g4ZHCPPp9RY2OPHmGWG6zmkhcLFtOnNFrnCTIqZ1WUGHX7fYnUBxIkErNSXpdKWBPXa5RardVJaOmorjh+zstCAwZBHSEyFqrMwXaQ7NKuuQ1eaGlihYjpRKQRJqvZumKFip/dFVc7z3RTH2iH5ZOHMGAwo+v/n8JRwS0VCtt3jcGQ7ZgVoNQ+i+uQ697WdQPW8q/eNNQ2EU915CxU47evWV6dRFKPyjmwa5E1eryAbHK7QGfjyFRFvEVK/bRWCnOVF8sdFsuO4xPO0mZy0uLSOZTHAn7XX+pDUgxDFElxXOlxbabV93O+M5rjdq+H5OzUyJplkOfDzLyWafESOsnjZItc3N6+jxfY3+GA9y2sqY17C+UHVd71hr+L5FXplJLQDgkWJTLTR8Qp79auwQN8mkgGan0+Oz0tbSTTlUUBi7zkBpm0kIOX0m1EBEFM6b6lWUFk6dllCkKx2Rarn88hWsEY107blncEETsttsY+E97zLX8tFHzRcMhzi/aWratw73sbdlKEGjIsPPswMyroT43vcauPUtTj67dM+KE1jVukSfiLiL99yL4cggcp555mkAwPu/9/txwAmXtWode7vm+3zfw8raBgLfEn9/f/b62PQt33H8P7WasqoBJ0x9vl3HSml86Si0L1Xo1sx193Tp4krd89Hlfbxxaw8RJxrqxNy7w6rvJhQtQiDmozwSCg3Gm0HMbguAgjHmUruBQz6HDS3QY7fHY+eukmsU/CxZlAD9Ki+1m1q1utY272kvoSAd+V33XETCKXgegJLPfY/L0WQyQe2Rt5jPEhL3EykxWtlAaNGdr5oOZbC6gnV26m9ORojY/T718MP4BClEv/dPfxbCTkwlpNzzAwiY2FOpVR1qME1TeEQ8HhO85H2TM5NvTtIG74T92/nT7RDNYiZOSWhS1S9dWMXaxDwjW1ZLP1fo1oxzxUJT9B3IAWzzerQHE0gOUYmJtukv1TBOzLN3Wng4YNfbg0RJZJRn0ZhpAY+xcCn0HP1H5yUmdtoUEdYeBAquSREEEl7nRCkssCu+RPRYXyqEjG0XQx85EVVNBIiqBp0zPmtO9C29CTJOIJU7uzjfMB3/l9IEO/T1Q04obnV68PhM5KGHCRFxlfEYP3tk0DdlodxjnCiifTWm3eATvUC7BoZc8/I0czQnAG4qkhRiZmLx799u70uzuIwppeM4ddEiqOAE6o0RubdYQZvDPK5QdPl+qTCq05egIYfm2VgKIzdNVQ4mboBKi/duvFzD/rbxy6VC4JCDgDwpUeUxWbRWWGgEFSKUfQ+C90kVCnybo+1XlEBCKqWnNRKeZ6ZKLNOXLL0o1wpLpAe1gthNeBJpBZ1lgzS68GOGwlh/+nn0RuaZ6i0voXlgrsOph96MnaGJJ6/1Tfe/7oew2UMrDGCRT7Ukxf+2tTe91u7ST9FQHrvUSk1lN6IowoS5kB3KMktd1Hoam9VdoCue9CdPCoMycChN4WKjFLOICXOAURgeQxDt7pl1faPWxsLIXMfLkXnPihLYJsImEhqa/kQZaQBAbZzAq5nnVjIPHy3WnOSGlylYfY9EwK1JdopxvQC0HVNWj6bz/grljt0Oh2rDQ87PkgLocj3JshIEL6Ne46RFbejuAHBPLcZRnvIzAL1kYs8mc5eF8xcx4JpVq1RxisfelD4mdqJfx7x2vz90KK2mAFILfnr2OfzsoXlNrd7Axrrx2Zct0vlESJkd1mXpjZaFoU9MQnNUwjuM53rjPZ1FdUyhPuPRwKFlbHwscoULFy65321xgNZSM8IiJ72/KM21OudF6FUsY6J0ovINIZBZIe/BBM01k4ODU9RHi1U3rKxMCuzzPvpSILTUVsJC6wpQFKYfydBtrOMSTkB+YNco5Tkk4aQosMLhAYdp5pAnMdflHMZvAKASVlAS0e/nGjlZHl950qDf3/mn/wyqRMtgewt4F+mKYQhYNsQt0sKODoEb3J5fOovDT34aACBUjn/zssmt5L0XUK0ZHEpARKyfF/hD73g7AODK1atoc2BZoUocHhiET04fNeGV901rNxxKeoFDrN0JO+lLbvVy6/BMTjSD9HLILj37TCggN+vR6cV1LPXNmv9CaN6zVGj0+JxXBFCOpyijCWNGZZTAq5rX1JgzFSsNjFLzWTIrkfD++55AnT6dMQAFuXLrZFKLnESRpzQ0JTtyokubejYuaYwstTUv3HnWuS6n2kzrBIAL9QoUEWQq10iJqt7nnvKs57sJx2uX7sPh9lfNMYgAR4zha55Z3a5phYCfe+BLxwgKkeOfPmtYPlvDLs6dNcjVycSOIp5FlMPdL+n5Tph+GnPEsbxk+h58W/ZtZeraXLEd/q8AsADgXwkh/qdv72ve0P4sgJ/VWp8B8EcA/Ly4zbx2rfU/0Vq/Q2v9jt/n981tbnN/mtsds7kvze1O2nF/+j8KLXJu3402j01zu5M296e53Smb+9Lc7pTNc6a5fSv7djS6/q8A/jzMpNN/BuBvaK1zFqReBfA33+CttwCcnfnvM/zdrP1FAD8CAFrrLwkhYgDLAPa++VGd5GLOdBuO8XHNv0Hgu5/zPHfChjcPBrhvow0A6LLCPIHGCjv6+yVwgfoxXxxNEJH0+tJ2B+sN0+lt2250rlAlyivMgbGtIBcafQpmrgrzdxlJbPAYOiEwgRVQlQBRMbarfChyHHKU+6U0h8+O3WMLMZ7cN2KU3yAqauFUDVtEqrynKPB7OwbFdSWOsUYhOCxznPpnv4DqTYNy6ZQF7qfQ8Oj7vw89K/h4w3Tc8IUvY8zOVxXCiXo+lRf4xtBUqfuDo9dd9zCK3VjXtVMbU976ZIIj6ghYDq7nyWnFXwiHlsjzfEbj4S4Zx9dnttsoJEYUFh4NR5jWXt+g+81K9E6/A7Fs0ASppfaPx2ism98ta402tauuKgWrhTjuTfAakYMVVuxDDwiIACxyA3cEDBKiZ0ehW52sWLqugPKEG31d1cAer53PVndXl9ivmkr86fEEC/T1XQCC98KiDSae57qcvi4hyA8/mgDDoTneeziKvXXuEvZvmcf7VOkBDxl/E7c20b9m9I3ssAE8+yKO2BVfWlvD1SsGpbVfqWLlktGomOzv4IWXTUfyfupuXbh0DyoUDX/11VexSvF7rZXTyhnzvn3+c5/DTeqqlGWJVY5SXl9fx/LKCvzgziC63thugza93X8f0xScanRd7w1QWzbPZJ+dF08rNJbMcffTEq2auRbdIkcYm3taG2SYtMy18K27pgVWWxR/H2kUFLGvZnBjlceW5h4IxJbTH3ioVMz35f3MjSvuENmlpcS1hjmGS2mKnHpGYS10SJDr7EZvVJuIOSa9oTVGZ819zvaOnKjqxYeNeGpx9Tpq1Nqqv/s9wGe/aC6V76FL3ayYsTZ74gkUvA44OMJz+2bp2IkiPM/Y02hUXRxqtcznXr3yGqo1g0aUMHpWgIlHRX58/LTWcP7SaDSQ89zGo5H73H8/NpvU3Wb90xrwzDp1dWeI+Kw539GESJisQHvB+MUgS7HMuLBTlhB2hPagwG7LXA87bCXKFVJ2/hoyggVFtEuJA2rBWVToQJfIqTXYblSciHtbSVxWRO1SzyYNFC6zE3p2MgGbqIjjAMt2bbVdWN9D1WoX5cCYMMVsYQXymlm36nx/ElbR4/lEeY6Y/oYihR6Zc6udNuiAJ/d28RYiwsIwwhdGZp16CgLPMWZJqR1KS6vZ53l2/SMSYkaEN6MWixDiuJ6EvV0wa99dk3vWClaf9PXHPEVT2N9VKlWkRHRKT6LkunJ95xCVM+YaEfyA3TLFOn0pyzKcrZpncrPMHRq51ZXYa5rrHfK6hYWG4r0LM4k6kTlBAYx5JQSREqkv3D3NAoHcan6UwJ6NPfTRPaVw4JvjuQ+lO7UgCpyeWkFfKv0K6hxmEg/GGFFns6y2UDKfCji4olxcRMbvXZAe4lXzzGylCZLAvG9vz/jMvTJATriPKAp0+My8mKV4jucvpD6uQ8Lr71Cj0C7/GY2GuE0fGLO6Rlbk+jux4VNKUSjcfNfq2hoHMVh0F2Mjr32ape64pBQ4Q3T7IANqgTnuXte89iDP0W5xYEOWYY0C4TvQKBmXy26KgutPTdjnWyNl3hRriQqnOnm5dhqRPnOeMhCIeB+8cCrkXC8lOryOgpfzSCvcYv5+jywRE6WoPeG0cgfcQ8gggCVA1KRGn8dwCyUe42CVe4mKwdY2nvqXvwQAWGy2kPRNjDk8OII8b4a0aOpSiiBAjVo6wf4hAp7PS9LDV5n3nLnnFG7dvMlrfBytBQBBEDoUzsHB4RSxKcTxfwEDipnVO76LepQmTE7F7m0sBIwGkF2TrVvXGk1sbZv9S7VSc+e41R1gWDGxaaLMtbqV5Vhrmue7lyRYi8zvx8Ls9wAgHmQYLjKv5jHVSqCwwvTCQ06d26DU6PM4BZE3kS+gLBI4kBjTJ2IIDBmbmsymu0WGPeqL3esB+1wfW9UQGWNTyvtS+D4CHuOKBxwxFh4l2rE17lkzuVR/Zxd7zH82X34F8W9/CgDw5j/8RzAimrtG/8t+5mcQfpAEqnsfAF4xOfju4QHe/6eMBtfP/covoso4bj/30bc8hp19w5RIJgmGRL+eObWBzesGCTa9h+LY3s3qUqKcspzuvOmZfHomJxKvX5ttjA2C0P1dKQ+eb+75/jBHuEw0Htc5mZVots29y/ICG5F57U1otzfPehl0i0wvxoSKJ+ATGR9CQhTGl6pKIKHvSqKVhZQud/dCgYLnEyqBMX0p4H5uAoWrpfnc8+F00EoiXh+XojgCiT+oS6DHxK0vlEHmAmjyHHRWABVznsW1W/ApMJ+UCiOufzGpZqIs0eHnLijgRpUTjsIKXhgPeA8K3Lh+ZeYeWNOv+1EVOV5vM8hnfSIWfRsDMr6dqYuLAP6k1vr6sa/VWgkhfvSbvO+rAO4TQlyEKXD9GQA/fuI1NwB8AMDPCiEeAhAD2P/Wh3TyIZktbs0mbNake+A8z4e2k33iKn5n0Sym//HQOMOhBjY5+c0PFEDhyoulwh5vsBcHGFiKIOkImSgRE4KaDnIsCnOzc1GgJB3DFhL2lMYSH5BYC0z4/HtCYI80kFOcgbUeVLBFftCkKdBhYaHbz7FAR7QQ/M8eHmDtrFkcr1QraPL3tSxH56lvAACqDxtK0GEUYJtFg/Nr6xAsQoyGYwy+bia45FfNQhLIANWxXRA12rwO/22/h7Burl8wntJH7L3Q0Kg3uFnv9lCtmwUoSzNMODFvdYOCpEcdrHJzm6eZu4NKKQehvGumAVPEIgxVzJS0tIa2/2WTzNkHa/aBkwF+iqWDfxxQei7SOD0wv7vhFwgz8xm1okDGpEXEAUJGICvQnOgCgkUGb5hjaAtnAq74lDHRKX2Jwm4KlHAwTakFAv7+/sgk/UdZjjHv5agWoEEf8UcFwMJZYid7lgVqlk5aFJBM1MNCo8Fkoc5i69PdLzlB2Gqnj4JF1MaFcwh+4HvNZ3z2CZ6Ehw0Wwg6eeg7nmTT+dBDgZQbDUmtEDK4R/bTb6aLOYkkQRjhF4dZSKTfZ7ICJ9q3NmzOJnsI1UhuvXn4NS8vL06LmXbNvVZy93UI/3RRDevgYb/R/RhpL5ocYUVS1kBrt3Lz4usqwzWekVYsx5KZeu0WvxGWKjb5XRZCe8QWtczdMIGJx6yDU6LupTBl8bgBD38OAC+eiFb/MFRYZvA6bPsqJObbqOMNCw8SvDjcSw4Md3HO/SaBkUAE2TfGztXoaLcbFsEdB+OtXsfnx3wIAfG+9ATkwv59s3ULjvYb9XlpqyfWb6HKqlR6PUGmb5+7XogKKScFICaxyOt4Ki6NZnuECJ3S2Fxfw8Y9+hLdATP3GwacVCtIW+r1yOgTEE64AlvHv33m7nZ/NFCwYs7woxC+ztvs3WUxNKyF6FFZVnsZazmK4yiFC4yO7voCwAqdMhoYooJngVxMg1OaDJ6rAIgtdCWPBoTctdMg8hc8ksl8UaNnCKSnarSDEBSZwaStCYYsseYnWknnuuyxoK6HccJjQ86HJMYqHY1yocZgAaR6HKkfeI+2kUsGIIqgXtEaXtP+cIs+qyDG+YDbgYbOJtz1jimJ/dWcTaWGHE2CGpjhTeLhN8n67Ho2efe0MdRlaG9rT3ZJ8FhKv95dZepk49qtZyYAwrGDCAreMK3ieucef6VNoPgxw1DPXNfQF1inSPBElOpyWMwmEo9uXXKXGKKFIJStGxXSqFJSbUu3z3hY1DwPmUr5SrplYERpVfm7OIm6Sl6iRBpatRLArukoKRCyaDrl5TvIMdRZ5D5MxhGfylNriMhq7pmg6ZANKDnrwKNIbra8jp6Bz9aiDBgXBVywtvlDwLMVQCASMsX/7qIsJaelSei7XmBVPtnGlLIqZzeI0NtkYhBl6kBCeo6IVubq9890hExDw/ACNRt0VGQ4PDtxxmcfj5PdP5SGazRb+7t//uwCAz37h6/jkR38ZAPCfWmHhSoDecJpzrtEHDrIUum7ygSIK4PO+k5mMgcqhuaGU48zOkkAgp5PMBelEY186P/SKErkVlYeApI6D3cwVEFhmbMvaIQQLYV6Sw2dR/8gWY1ThJvQVWQo7Mrbpx7jxm78BALj3A6bI8PX/5X/DQ282kxi3rlxDYQu2Z88gYkGuoHRDrdVyMXF9OEGf+eN/crCDDMwL8hxDDlwRxzb3xvIsw9AK2gvMxKFpccD+SkoJjRkK7V004+N6OilUCzeNPgwjVwy2/jUaDlzRdzIeY2nZ7B06KfAC15U/yumonu9hyLwp9IBF3qajIgH43EtfTCeQk9qcS+2K7JWkRJ1r11hniOiaeWr3jcJJ0ERKIeVaKQHEdkgPG5ax8LDISZrdhu8KentJhgsENVwekaJc5KjwmpSTCUr6aAs+4qr5+dHv+0HzWUf7ONoyeff6aIJHfvK/NAf5wffj5t8xz9r6s6Z53H7sbXB+8aXHUSOV9qM7e/jKk08BAL7n3e/Cr/6rf837wSZ4nuPaNVMKqFUrqLLBmuUFFpZMbnWwaxres0Uuz/NdPq+FwGR8Z+Vopiam65xb2vQxSQB3VHZSbzEdKqQhUeYWHKDwVT7/f4q+FsYeuhwupj2NDa5zR1mBvGYH/3gQVlaGRZ+jIkNo90xJhoJxZ6JLBLynhZVtqXqIeLxeqaH43RIAB6YjZMATWmDNUpyXYwhSbUVWIOT+scO41E8StCktkWWJazpWlXTDARqUO+lHHnICaMKDHqyvlEoh5r7zMDBxONLgVGagKiVWOaDvrz/zHBKuf/V6A8OB8THhBhSo43tq97M+lh8506+PZycHDbyRfTsaXX/nm/ztxW/yt0II8VcB/DbM3vxntNbPCyH+ewBf01p/FMBfB/BPhRD/BYz//QV91+E7c5vb3OY2t7nNbW5zm9vc5ja3uc1tbnP7g2jfDqLr39m01h8H8PETv/tvZn5+AcD3/Dt88rf423HaUFFkEJ6pbmohAQp1lnmCp1umCn1twVQe23tdFKGpUhe5hxGrj4n0kLJTHE4SFBRQPTpFAeWiREa01aqcwvyV78FndXIop+K6O4QNBhlQ4elsSYVmyQ4S6Y71SoTH2E3cTARe6FFgsVHDkF0lSSRFslzD5iFHfu7uwGeVVS2uIa+bzrVF5VTiGM2zpnNdr9VxSKhsdngAsDuStg1cf3h4iISdwo3rm/iENJ/7fZUqHr9hBJ+P9XtYmV1YWETIKn5ciV03Zn/3MiKKvFvx1IWlJQcN7hwdYcyu0/LqCkKi3+6auYIwxe5mUJKzgpzHO6S3oaapHDdrpiPzFDtvS50xJvSboPSQ8b6WQqDk7/2yRDxgVZ9aklL7uDI2FfXWDBpXBB5GvGYRu47jXGHCzlOYKjTZOd6VCgtESOwQjVDxfayTQjP2PPTpQ0ppFKzm30e67rVsiCLgF0chInbKsnqOnm8QMumKeX7Wdw6x8gHTWTqzcQqHpGgGK2vAnqnk47wREtdZjuj97wUArFz4PL7w/AsAgIeubuIVdjHf87a3YpOdTHvur125gjOnjaDhmdOnMKKPJGmKxUUj8joamucymUxcV6BSrWGZ1JPt7S089eSTDlF4d+wNugwzrnQchmtRIRruSZICWy2DLNgXxpdqO10oIkWF9JAQPRj6Hkp2JkeTBKcPzTXsLlI0U0v0eW+vTSa4z4lIFtgC6X3sRo5KjUrTdGpWcmk60gCuqMLRan0L/RYKMe9BqnwkjCFDAD1CEN/E+6JrFXT6htKT1haRs7Of9o+weURY/ZIR0T27vIbGmwyNcfjyq9gnOvCed74V41/6VwCA4mtPAgCW0xy1BYP2+bIq8Dy7ag822niOcP12I0ZBOHSXgvhhGOHgyCDBpBQIGY/SLHW3aGnFHM/h/hRkbGIYO2ilQujd1SX0NqZnQo6+jZudgIUX5v4UHeDmmw0974BrTHOrCyFMbFVKok9fCHwPR0QLNPMC0aG5l9GyCU6LOsArpPG9mmY4o0g9jAV2QLg8KVtpCewTkt/WHkpSnrOiRN2iLYjS6eQpJKmpZTYV/fc8H1e2TCw8Q4ThVpkipMhqlmSohOYYrnQOcJ0o7IyosgeVh1NEsTWyws00r3ke1vY7AExXEwCCZhPDpvEn0e3iN06b+PbuJMHLpOkLyNdnIK9Dc71+fbDj17V2zVQoNYOy0sdff2fNIrZOIt5nApI+/jsD8iLdIgwcirIogctE9OWk6q/uDtBlx3WsfOxbdIQnoO06N8kQ7RDJtGZ8KdQ+rozNcyrzEg2iCstIYkIK2oRIcZFoiGV2kTONiOiXJJRoMDaNyZrIhYQmRXtwNEXreFqDczmwzPMp792A1zTnsdPvYO2CWafW3/wQXnvVIE8z+vs7WwvI6cPNdhv7pPG0Sg25a+LJfYy10Bqybs7zxniITzCH+p5qDV9PjT+rorhtKpHPiLZbEwIur3Q2s34oVTpK7d3zI/vpGmVRoNVqOfrbeDxxh6tuC2XUaBDh3+l08YmPma3B+3/gg/jHnzDIkQGf43C3B5+owVJI9IX5jqrv44hIhXKSAbfMdVzeMDnLggxwlf7klwqnSIseeUBqqaq8RmmqoNr8vgLOn3pCICbiorQcogJoWlpZTyGxKAqlUJBuu8x/e1VAVI3vak84uqFaWYN3+h4AwBc/8m8AAO/9c38eY1INF5aWcf0lI97cHI0QkNK2Ruri3vUbaH7o+wEAz6kSzxOZ+r31Gp44MJ+xvb3l4oxDqZTlMWqipW426nU30Gfqg8LlW6XWx9xISglV3iavuSNmYyBjvvRR2ngyTmbC6wwyx/q6BpoN85y96W1vxqu7ZkZaSdrZaLeHdmjixqGSmJCP2goC9CpmDUnSHPV9cz3LBROvloSPp7smXtVSgXOkQo6EQJ++VLWMiFJjVCdCKClR5bF1tXboL2GRXaVCnXuztFci5fpXkRJXDkgF5DM9btfQy80xeJ5Ancibrqdw7t3vBwAs/ocfNv9ubmP0z38WAHA0PsTLv/07AIDO3/+fcOpdBgnfDinR8+rv4ZAxZqsWIXqnodL+ie/5Hnzpl/4FAODTn/k9BESWvukRg8a/cP48jjpmHby5eQvnz5k95Isvvoh+1/zeJ2rI93wkiYmVZVkgqhjW0HA4nEHv4C6ZgM2l9eyCCz2DDJq+Vs/KlWuT75STBDdqJn9N+f7hbg9+xe5HPXQl41LgYUIa9WScQrE+0F41+6R1EeHZHbNW+IUHsmQxiHyMuI+zyK5xppA0zHWPS+HylUQKR83PuC8TmULNMns62snaFEpBppSJIMJqWPVR8n2+J1BnXEoigasjcx6Ll8z9XL18wyGqkyBAwJ9jKR0F19JrpdYu5uSeh1cWTSx+dJTihYlZNycz6HAn9yC8E4gtfZufb8fUm8q9RGHg1sTs2OCc4/ZtidHPbW5zm9vc5ja3uc1tbnOb29zmNre5zW1u/0e373Q7+g7aiaqs43TCVYutkGIQBChs9dELIFmlluUYT102VeiDJVONXU7rSGyVPvIRj231MXVVzV6tghV2i0cD0wWoVCJ0JvwOKZDwsDIBVKjZYEXcvUg5/nIyzgGKsTaVQJ/jatnAwlGZQxONNp5MsMFuzEQAAauoxYKpOv/4T/4kPv4z/wQA0FpZxctPPm3OqVrDxkrbfDc51euPPIxnP2HECu//wCMIWXE93D9E9azpaNYpjLnd68H3bU1U4NeoS/Hze3snhHMppsf/moxHGLJjFEQhNk6bz601GjjNnw8pSu8HAXx2PMejIVbX181nSQ9lfjtxujtsx8BaM4icY9ol1hfk7d9XjPH0zS4AYOdsGwBwqVHDq5TsEL6EpabnUiMhymTbl7hvYP7QJfIgjAMoakKkKDFi5TvQPkJ22XtETeS+dlXtONdQvu0yTUXG2TRC6msktsOUFrhERMqzKLBItERSNxX5cHcAQWGLkUqRTYgGFAKtxHQs3v6DBsU1eelVpF97CgCQvV1CbppBCEe+h8UF05EE9bVeOTzAA+x0hw++Bb/9mx8DAFyOa2iG5rVf+fo33OX2fetXGp2jQ3fZX3vtNQCAKguHyLEdqOWVFdM5AnD6zDlsb5njqdVqiKLo7ophHvvXHPnrfnVbhva0C4VijCdfNUiim2fNdXu0UUWHeh9e5LtzSEWBCZFXqhbjPD+iT2SLHwdY9UwXqhUq7BJVOFGKgzpMFxsAdAxI6iDFmUSX3aazcYQbRKy2GYPqQuAWhyiUSYY1akns+nDCvtcnJhK+4/5LAPWQtg67UFx6mmmCDY+xlMjN6PRp9L/xDABg/Y/+YbTf9jZzjC+/hNb3mM4kqB9QXLuOStP46/kiw89QlPfpSYqYj+lgNESjYV5jNQOTJHHjufcODhEzLkopkXD88SySa/bmWTRqnmd3XbvkdXY7UOk3e4F9TZng6edMR/HlU+YavLtewYD3149893wnMnf6ZFvVEHXew9UxEYKVEIKoUe0JXKM+TJJoKKJwOHUbZUXALh3j7gRVKxRdStfhHlNXIgg8WHXGZeEjJDpsxxPosSt5uW/+9UKJjEroSmuk1GOKNNCgLsY+ERa7pUA9s5paAiHRhG0InGX8O+IxNmtVrNGfhhr4zW8Yvcp/s3nVXXA9i9jUVsfNO649gelaISxSeMZXfI5rV2WJIp9qEd1NE1JACOkQOOaRn9G9sN/v/hEQPL/haIzSCp2n23iuYzrVVwlHj2oBxnyjDD0IImkyP8eEz9lhNcAKY0g8Nte9Vas4RLsWCoc8hl6mEBDd41NTa1+naFPHJJ5opPTdCiQGdmQ8c4hGzcfRwHxXmBfw2EUexIEbYmDvx2JzAR678VthFSn1T7T0cIF6UAexeWb8uAr5zHPm3MYpsGqQwhXfR+OGWWMUkUhZtYqYSNtzkwk+PTbP0a/t35zmENKb+odrXqvXoesAu2RYvzqB3ISV65q9h3c7Nmlcv3YdG6eMzmoYhtBEqjQaDdfFT9MpOq1L1AcgMRiY/PLP/dn/ED/3T34GAPDa0TUAwKPNKghyh+9LlFZv0i9hhbe6cQgQ1VSjzl+tEkEzNo1RYosXNdYefK5PQ3vtvRLa6sAlCoJacUJppGqK7geAIPaQUtu0nGSo2DW2FiDl8QzpT1EhUFAHrCi1Q1PL/AB1ada4fMUgJy4/+ywWuJ4sPnAvLjIW7m9uIua+IV+mlly/BzxudE5rC238FvVRf313C3XGrNFo6PYWTgVmlpUA4dCCeV68zp2ENx0uoJWaGchiByTcbaTgVIPOarPGUeQ0646vyVO0xybzzSiKnZbgEVXlz7cabvDEUuhjMTDP52E5QcB9nIhjJ3ivJtQ7XajC59+HGniG+Xol9FHQl24yPrZ8iYTfuwKJQ177hiecXqW9H34kkdMnRFFimb50UJEImVt16cOLXoAR9WeB6QyT5YUmLq0s8lpxX7mwiHrVxOXauQvQR10AQP/GLdzClwEA6Rnjd52vPwnJdWCzFuOXvmEQ8p+/tQ1w3f3hH/oQPvW7vwsA2CVDQynldAJHwwE++3uf5rkpeNy7NKn3nGWZQ3cVeY4etVRb7QV0iKa/86Zn1uTp2iZhmStTLWa33s0ii2biqh7u4ZUDcz33lsz9PtOuocPX+oHn4kPqK4BrU16NMKDGWmVkfK1WCd0wn06RoeD6GGuBgNdtKOznTtHsItOQvk2mlEND2Wc0rPpIOFCnHKeo0heGjQiJjW08tShXKOijpQaG/NkDcL5pYtDRpmFPjPMcGxyYkGm4+BtAw47xSnitlqTntJ73ixwf557gY5vXEXMtbDQaOOLezQ3A0Grmep/YZ5/MbU/uz+11n4lh38y+iwtdM8nm7EWadVT+m2UzhRKdI2Qi7AcBthkgfzo4DwD4O0WBmA67GC+gt2Bu631ZgIOxSZwOWjUcZsaRV7nxlAJoMlmCVjZWQKalowtGVuRurJCQuiirvltsBwCoy40R36OLHKVdlyERWYfKczQopvcf/IP/j3nB6XOo++YYdOcQizye5soysqYpIEg+mVm7jUsXDZXl+jeeRkSHHCwvIiJ9pLhh4NDp0QEKbgThAX+BNLB/sX0Tx+24x41HQzQJuy7LEqOhSWxarTbS1CQoC6Q2ZWmKAYtiZ8+fd5+0uLiErVsnh3XeYZt1JcD8x2zh9I3eAwAzU7Ugge1DQ7f7Xxrmej0WhDg3Nv53ve7hJmk8tUygQspppV3DHoudFznc4EBrnGJxcuuggwkdQyqJwgY+JuSVgcKI0WfsC+SwIs0CdCNUuaErSu0SulNejJucNlcKjQFHRfpXDF1DFgWqIMW0GUFZ6P9EOxHPF55/FgDwcFiDIqT52RdewKkDCoTv7QN9LtQHXQDAA+96O7J//FMAgOHVq3h/xxQtPqf7qPDZTJIUikHdoY5naFtlWcJjUpAmCXJStJpM+LqdIySkj25vbWJhYbr4jkaju1ygmE0sMfPz7SoT4vjPrgCmsN0xhYl/Tp/5v2uN+oSFRz/GFis5QS5Q4QZyWI3wCouTlzgcQwYBrjOB7kkgs5TOIkSDdNSr3IRVBgoxaRf9SKLHNanEdMHd4yCOth+gzalEozRH34VjAcHk7h3vNIWpuvQQcgraWHSQM0kr9g8gWCjp75hn52j9LC6++10AgN2nnsFpbrAn129i71mzyQx2mfBmKbBPaHaW4fsojP4FNUbKxLUoCkeZyUhnWl1dQb9v/O7tb30MX37CbCCefeaZmfsx3QV4bDZ4nucS8KIoUZykEt1tm3Wt28amN3qBxvaheSZ/pm6esXuKHG1SvjqBxM0KB2XkEjXSZlQtRlgj7d+tQ8CZJRPXB6MRqMeKhpJOeFlyrSsnylEz0thDv7CF3NJ9nm2iDIrSTSs7zDJELHCXAljmsy5JMSyyEgUTWq8WYsIFN67VMeLG+hTv2ag/gW3JbOcpzjDhXPdC7HPz8iZlvmulM8Dm1WvmOpzewJ9bMWvdv7n+2vR66tlrPG16TCcwzhbCZkRW7cAQwO1YilK5AlkYRqYo8DpqxZ0xrTW00m6jclwOdba5495gpB4A+J6EssVNCGzdNLH+50+bjcDfzHOc4r3ZDjRu0Jeq5dSXynoFfcaeqh3so4GFlvmMG2UHrH+hVnoo6QsNOsrpVOIW866xJ9FmkT4rSmgrHs6caJQXruETQKJkvpWWJUJS0AakcLdS4Khvhpj4RYGjPROHOjevY23dUOU1C6W9a9ewxsJEISQ8FtYHnodVciIlY208SYADG0OA/5T+/Gszz2gYxcgTS02ywt96OpDgpC+cFOkVM2vGbPFLzL737hUnpBSuQGDlJgAzlbm00/54XEJI51pKA1/9ylcAGCHrT33G0Bjfd85MWD6jCjQsvacZYctO5iwUIvpTuliH8kwstjEkFAJn2Fjb7HYhGDdCJaEZmwLGpiCbTvYc+QK+3RiWAgU3naGd/p0V0PTHsJRQdniQVhDcX0QsXhSjDOEiB75UfCcgXo7GODgwa3pGcf13fd/3ocL3J69dc3l4EcdIue4t8vad8wOM6WNJJcb/qWmem493fTSYZz/ypkfw5S9x6M/sfXf+4iFhcVBKOY1NvDFKaYQsMGdpOvMJd7fANf0aW6SY0pOUhvMxVzgpckwnyJYIeJ+vXLmC++9/AADwL1ls+MkkddPqGstN3KTMx6k8xA5z8InnwRKf7B4rK0q8dcNQ15/d20eP69gytKOZefSltprSdftSOTFxrQXsVbS+lJYKivGqrgQS3xYWNVI+MxcvmWFNFT9Al7m0qAaQbBS97Y/+CTTebOiGX338CwCApUmKmzdN7n7fAw/iLMECO3kB+bJpCutXrwEAzmiNhPe8NhrjR7gn+Hj3AHHFxLdXXnvN+avNn/b397G3Y4ohbooiAEBOn3OuL57voxm3AQDDfscND+j3OnAb5DtuAicnmQOzk0dnjtNJ1ZwUQrfv0ti6fg0A8Mu+qQ/8lUmKOtfBpBFhK+IAgkKjYH3Aj0NE3B+5HEcDFxmXrvd6OOJ3bEgPkrHLpy9VE40Rj23iCXg2LhVATh+MZ3wU9J8wl24QR6E0PA5KqLDhl40zRAsmXspq4Kjc3qRwsgRWciIuS4A+EUG4YR+J1sh4LZt8/oa6RFJM17kPMcf+uJhOFJ5MxtMC16zdrhh/bPt0u7gjj22bbP70zVxqTl2c29zmNre5zW1uc5vb3OY2t7nNbW5zm9sfCPsuRnSdgG67yqCH13e0NWxNT0qJkCiGRquN1oLp2F5l5fmMP8aE1c0z3QleWiCqJC9xLzvEt7IUNWW+/1XC/x6WHppLphtzvShwijS+veEEZOY4BIpMFB4gleiFcoyYsNwgllB9O6LbvGc3L7BMsODmJMEZirvf/8AjuIcjivcJNyw//wUkA0PXiiIfNdJ1rl2+ij/1yX96/PJ9+WnsPGFoGYeDHkJtOlBH126gzor3mO8/u7iM6Pp1AMA/HA/xX293zTGGHpLMVmkl7D2xY2RVqeARSTTsD1Cpmu9QWqPdNt2GjJ2ayWSMaq3u/m4/I81S5N9EZO6OmKVw6DeqKM8iB4FjI02PCehJN/Tgk7dMh/jlB85igVDpZqcPRaHvaqmwYCvipcIrRLsN2XVcCIBeSHjzmQbCIQXkc+VoGDWOq9WpxoLtttckJH0zzUuQLYshr2EhYFpkAHbKFGN2RxvlFJK8w45XUAmMkCmAlaKEskiAuIoLbzdi8vWa6fSc2evgs7vmnFcXWsgWTfei4YcYfOMp81q+v7O2gEU+H1+/9yF8dNV0zeLXXoWwnX7fQzU8PoSgLApkpOj5vo90RuDQ3ocxReallM7fhJTYI/Q6jGNEYYS7O9xV45ujuE6+drbzbn1w2nn6EsXaxZkl1xXzjvqIiNislBq+FXcvFI6IUrnKfx+ox1Atxq7IQ0lKT5LkWGDXxvctxLxAwi5M31MIiEKAL6D5efZa7+cZ1ngfV4MIBxzycW/pIXjQdOa3XjODBpbOnoUcEupcFhBLhsY4CmJ0rpr4ZWlJFy/fwD7ReMGLL+NlUlD94RBVIs9WGB928xxqaPzgn/ka/z/CQISQGJIa85a3PIrDQ9OZnJB+cvm11xyCdGlxAQf8e6USO6qstTRNXTfqzLlzuEGkqy7vVldy1k7CTU+iBU+YwLSNKARcL0sGkKTLfZEDTdLlGJJ/r3YGqDbMNa2WGgG/c5wXYGjBLqHsKFN0LGVtqQ30zfU/yEuEjslH1ITyUePv/KpESH+ZxAUGpP3bZupEaXjsDJalxpgUm9pYwI6OEBRBV6FwV+FeIVGnQOzNtMQWv6NNesCf9SWeo8BsxxPuuWjGAd6UHqcx7EvgDLv/f+/Jp/BTg645dt938ge3RcvoEhXGwlnhVUDMIHVsl18hy825CSEd3VqVBRENdyk22UPlv7OSDkbY+XZ5E9eSNEfAeOxJD1nWBQB8PTVr9qQZY0DIi98ZwG+b9zUV0OC1GqSZ6/C+1DV39NGaxmHVfJ8420RxZK7doNRo8Lv3eD/Otyt4gJSw6zJza0WuNXK+xqJOhRCok+Kf5iU8xpZ2kmPEY1j50LvNdZACDVITy3ENeztmHbv5zPMYU0D5bGzE6te++jQGzFmiIEBk6ZpB4JBnx0am8xz+mzLH/7C3x2OT0EQSZWkGz5vStW5rx1zthG/MjmKHwDFx37uMwpFSQEqJw1kaEo9FqXJ62JZKBz0j+qxxlcjJr331KwhI0/vxn/xJAED5U/9fJ7GQdwbw6hxooBXqDhlTOiTCVcaSh6oAWbUI6k2A9P1BoRHwtR59pNRwqLG+UAhjcwxCayQj5l5MoGTgudiWlCUyoqLCTCHiiR5VKe0QBLBhpaYUNJEao0mB9n3nAADLqyb/rRTA1tWrAIDs+ZcgTxsaaKPVQvrJzwAACuZHeaMORV/5uWs38f+8Zq5fpSIx4lr3wgsvOupYv0skEEqHzJxFxSs1pQ7N5kN5bqnNwlGk7roJeZzKpJXLaXRZYMCYqsqZvYCexikrQ/DH/viHcfW6YYAMGibHyHrbWOV55EcDCA4xKYsS5ywSzBMYM7Zs9k1sWtICR20iZNaq8HtmDekqILI5OPP9DjQqjHNDX0MyVgoBWFh8yTUmgwa5PxiVJewCW5MeWhy2tNs1sSLrd5ET8bNeq+HiO99jziNu4MVf+TUAwAuf/iwA4C1rp+A9ZJBgwdoK8D7z2tpHPoIFotsEY0xfa/fs/FKzis9RriZ6dohurwvAIi55jZm7DwZDBHZY22QE4ej8CnGF9G7eN9/3sbtj7oUAIMRsXjVF490dE7gdddsAYEkllf6J1+MEzdeDIEPqC4fGJ/7SaoyKpdd2B/CIjveUQo2/381zSBuXmBvdFyvsNpm71xoIGZe6pSJnZirRUmiBlo01EeCxVqCVBijRYBG/hRQIrEA9FHKi2Wt56ZiZh4xLcRg6CmJNKUT8DqU0ugPzuVWivx6qNtAnciucuZISwJId7Md1NAMQ83P/RRjhfydzQGvtmFtpmkJKuzbYaz67Pp3Ia8WJH46tczPvvd2aeBv7Li50nbxI9tcKIH96+pJp8qjK0sXHQe8IQ2kctc4A8OsbMf74EWHqWuGBI+PgO9C4xoT0nKpgu2Yu3VkuCgvrTTT52m7o4SoTuahQKJlkWUhn2/cdxaMiI6Tc1ClPwmMiH3FP2ZASfSbm/SKHt2QKc6sPP4Kt62bD9ZYf/hAA4OZLL6BBeKTWGlt2I3fxIl756X8OALj/L/4EAKD49GfwwtdMoavRbqGyaiaMVet1M1YJwHB3BwCwF1VwkVfy3fUK5KQLAEi5YT5pGSlwa6dOO0ev1qoYEea/sr7+OupYFMVu4RoNR7jORTwKI4xnOOp3xTTMRuck9P/4DzML6xttPDXAoBTFpsjysTLBn5VcGCCwzoTMUxpDLobLhcJ1cgyr3HjEp9o4u2UCxvMR3OY1THPEXBgrzLCU7yPRxkckPAh+RtMT8FnI6A3N73whIBgBw7iCJWrfdKHR4YJqJ1ipSEISmgsFZLxnOvRw1DN86+w3jc7bS0tLUKzO9nf3EJw5ZY6n10HApHC4aBKwjW88g+13Gd2l00Lg7feYRfbm5g2c2jAJ4OUrVxHz+gx5/69dvY6UNA8I4eDUw8EAtbrJbpdJNapWajg42Ld3BVUWvUbDISbJZGY61d2y2d3J7X4++boTphX8yGyuooo59q9UBL43YbIOgSZ13WIhMQkZx4ocB0w0qoxNqh3h4tA808+XuYstpyYCOZ9hS8XolTlseVGEIVZIQepnOdo2QSSNR0oBxZ/PlgHCzJxLEUe4cdlMPlpcMclmTQp4mbmPXhSj8/KL5jvWz+CBHzUF+97PmklU+coKEk6iKgVw4dFHzLnlBb7+z38eAHC0buLVPc0GvnbTFOHvgXZNDCkUQlKb4jjGLouwGePReDiEog88/oUvoN+xmzXtJsXawkWW52jS19721rc6nZBJMqs3gLtkt/EPMeNPJ7/3dccxA8m3mkak1fxuReMHx4SqQ2CZvhALiTGfvVpeQBGGD65T/rlFLO6YtaUb+PCYwIajFNJO5uR9iH0POamuFT9EysJ6qBVaVU79SewUROEm/RRaIWKcmwggCyzlm75X8eEx3oyVxmnGz6s6R43X7JEjs/l7PE1RcoOISt0VA8a+BJLjxZ0V+Hip3wEALI2HuHXrBi/f7IWdTdhJZ1lZda/J3MQ8oCxylOXxdWNWa0mrApmdKnhX95S2iC7gedNihFa2eOcdf6l5BaCnjSyr15MkCSTpe4ITmJ/zBd7NDf2y8KD6xlcqEJiQbtQsSuywyLDAa+Wt1rGwY653pwIEjF1lf4yChUHBdcmLI0z4fQ0/QMDz0IVyRa+K03MUSFkpqQBo8zReVdrR7ifMn5YunUPBWLG2soJg2axBnb0DxKQK4beMVk00GLoLlKcpAp6HqFVQKruhJe0NEjk1V38YPv6upl/o6RQ8KdRMget2z/rs6nGb5x2YKW690dpyd4KTUhqNZgM9TrKd/X6l9G1Px1IMq9UqRqTh/cD3fxBf/qqh2/3Uz/wcAOADWY730CcrGsiHJm43ICEZC+qFwqFvC6qMOys1NPbM8XTqgdPj8weJK6KD708gkPBeedJz2wav0KiRKmmfXU9oFLzOeVGiQV8faI0xfcROJQ5iD1YzwlfaURALT6J7aBpuG9wfHJ4+i/zQ+L86c9o1k44mYwRvexQAsMfm9ZIA8pLNq1Yd4PTAxaVlVKsmV7hy5TLKwvoZL/qspuysQ82+ZtbLeJ5RHLtYpjUghbh7UxfdBMWpr445PbPRbM/EqenG1wIHyiJ3zYInnngCHQokt0+Z3OOrOsN7KGkQaaDJpnEVAoK+sKSBjPfMNpI7tRCafjcqCsS8jq1SoeT9l5Xppj+1UzkhEbFAqnKFWpVTiZlrh55A4bT0NFr0sYW3vxk3Kd8QsfGmK76Lf77SGFKbdHk5ReV+M8Hznk+aQtdgdxcxc94vZxn8T5tCadmo4T0bpoD62ksvAwBWhYRio/Rtvo/fYP4zGPQgbbFaa7RZNLXVidGgizNnTbH2zJnH8MUvPm7OKaq6RrmVhCjL0hW3hJDTNVSX0/XmjocmDaiSjWKb+5Q4lge5lzJ2S+m0Bc1xTYvCmv5hm4BP6hLv5F9jLeBxunhFyGnOU5Q44tpUt3XCpRoqLEZPpEaF18oflRBWY83mrtJD5pnj8b0AyrNaWxqCFHy7ZHgQSGxhuixRz6eacjYuhfydFwv4zJl8pQ3tEUAugIz7xEcyFvvVdD9cao3cNnQADE9M9l0SAvuMow+KEiof4vWm4dkAy/d5nm8xFyjz9HjdRpxYu2Yp+scKYuLYLX0jm1MX5za3uc1tbnOb29zmNre5zW1uc5vb3Ob2B8K+ixFds3aipOfQQrOoDUvR8TEhQiSqVNEgXNlbNzW/JV/i8XvbAIBHrnTRYbXdn2T4BpEwD+QZSkKbWxRj9kcFehRSzAqFESucmdBYIVpiwOO8ghK1wbRTELG6/UCrBotpffWIU8UkcJmw3Fa9inyZk8v2dvC+H/sxAED+U/8YAFDPU9TuN5Sho919+F1T3U/SDGuccogtg2x4/nOfh66Zzv7KyirqRMTg3FnEhLGuPWtoR/7l6wCF7f5f2RCtJdPx7FIs21xd4eD4mlDKPMsw7PXcaxaIRhv2+5C8Fhmr0Z3DA6yurZl74dewxPdMxmNIcZfrscL93/QXx8rEJ6iLOEEXmOkAIDe+pRdMh61eD/CFuvn53rRAZiv5wwmeZAX/bF6gRThowK/Nu2OM7US0XLluohdI1ALC8a0Ysx/AoyJ0Mc4wYgW/Fvgg8hY1onHGuUKTkN08L9HhPSukwClLTeTpJBAIKISuCkCwQ1CMJkh7piMZvvcdAICdzzyOkL65srQEQQphxQ8xIZzWdjEQhVj/3BcBAJ/4Ix/EBqH5AsC16wZBcWpjA3v7e8eue1yJHXVRSolms8FrXHM0RQubHk9GTlQzy3JH0QnDCJ7vYzwa4K7asSku1pdu58czXXohjvmVFftsrZhzW/IFvrZszvlSUrgppcNhgpcoIHspLxDxeanwWgTDDDv057rynGiqiAIEduIhV4I4ijEeGB+OixL7fSJohAdR5X2g36alRsZ7s1MKDCMK8MYxFlJz/9sWadFoAUSH+UGMfM/c5zCqIiSGTL/zMQDAzY98DHrJdBJrcQX1fdMFf+bjn0LGa9LcNrFt0G5hmfHmiaVVTAYm3uTJ0KGtnnn6abQo1ru7Y45La+VooINe16Hm0snIIVJtHCuLwk0h/MpXvoKEf/f84PYCm/++7RgadQo6VxRADs+aeLTRG+KJlvn54bQA+HxH/QQv0Hcu5IWZbAOgaWkuvQQ50aR+Np1clvoSITuRVmw3CEMowuHLrIBf2I6khODQgyan6g3TArYXmAnhfGeYF1iUlpJm/l6UGgW/oyoFhnVO6BtlCKwswClDvT99cwcNns9RmlpgGyoLbWwmJsZUV83aIwcDLDIe/fTVKzPLwEzMnwX+cu3u93tuLQPgpniWeXZi+hkghTyGaBa3oQ/deRPuwMvZAQrH1tbjHVNDXZqmiMXM9OOAneHGKlHqhYcvkj769qx0orhL/QxPkmK/keWISH9dZixMDocY8HjC3HSPAWAYeA7pZid1HkEjYF6lSw0LXBFSIqhNBZABoDPJnPi4jn0nvLwRVpDz92dqZnGs3drGTUWk9cIi2ovGb1IZorVokKN77zYI5PWPfAITxvYKPEzOmylm3nCEAS9fu0cv1hoB6VD/XZk4ep6RYrCouuk9j+gzaZK8IWHh9XbMGd8gb7nzJoRA4IcoywL1hskdh4Ph9DtnJ4jSv31PIiRStN8fwK6HQSjwP/+/zUClN7/zLQCAtSf28Q2+9uGkBMh0yLoTXCOK5lSew6c/LdGPVXeCnN/XVnDSDQNfQhD1TqAg6lGMjMMNQgGo8ZSK4zE22cnmWaHc0I0yFI7+Cs/DohXfJiChKBQKIi+yonS0y3Z1CY0Vg6xZeP/3AQCu/uKvojhr6GqV7gCDocn719/0CLqkut67bHywubWHHlEY/+vV6+5aV2t17GwTCRSGGLsHw9LKvpnNkpIAQLhJzHmWTifFakAdy2XutB1HcFjcOmB8xUqguKNWytEYhZAuplWqNbz/e80gm8+/9iQAYCWV+AJRVW9NIij6Ut6d4AoH9qykGQRj1mmL6M5K3OLwlFqp3LrRVwo+E3VFxGsUBihIKwuKEuMe11rPQ0lAtKVMekKg0yX1NQ4gmGccXbuGVm5yi+X7zD4uhsKVQyPt0DhzDlWisE498makz5hBUA/+9f8LAODKP/iHGBGBt6wlFFHsUil8omryorfzOalrw/4AgF+PIwwHxu8efuRRXL16BYBBXSoiCJfpg1JKnD1rYt673vEOTIjQfv65ZxDzutm8ezAYIme+ro+tnz4WOYTs4MDkdnfeZtGveoYeruFzjSi0HcoCwNIYT1K/yQDI+Wyfrvh4mnHpgbR0Ugq6l+Aq17/VLEPAnxd5vfVgAgsaa8gpanAi4aaDl5R7CAMPpWVj5AX0hHs0CIBxyQ4GU6XGOOd1DX2UihNVlcAl5lU5zylVApkFTWUl/Jo5xslohIC++yq/96GwgpzHGEAgnEFY2Ym0do9eVUCD687P9mfWgBPIK8lnOC8SHns5RXE5tBeOv9d+7+y0zGP7byCKjd9NJjNDB0/YHNE1t7nNbW5zm9vc5ja3uc1tbnOb29zmNrc/EPZdjOg62V2w1WLvRFV25m8wHT/bOR32+6gHpqN99pAV1sUSH3jFoAXGArgxoX7ISoR3sZuyWfFwKjM1wgm7CvVmBa+RS98SEj6r95gojPmayArtSg/aJ4e7VE4G48rhEOOQHQ3yskuhUCeCIvICpzGzKH2MP2/40Qn5+WFjBf6W6eyMd3axctooazVOncEW0VlXf+03AAB+GOA0R6q/uHkD59gRUkGA/VtGQFAeGO2AjX4PX10wr82PAqRji4aZVmGFlK6Jt7Zh9Jk6R0dokOOdJRO02m3z+84Rul3TYbCd79Fo7MQRtVbuHkVRCK3N+WXd22uC/f7tZOdTT393W26wcMf3up6ZNPf9ErUMet0Jfqhn/GavzLDFknp9NcZFjpWe1GIEI+qwsQNyrtnCEZE1oQRCIqtWohBjdlmiMRGECtCs8Cd56UQRZa6Rs/NUsKMRRB561Iwb56UbfV31PPiu408+tgRUz3zXSAokPMaJBvxto9/WTo2vFCtLaNfMfTrY23N89fsfOI+n6gYtc2HJdHGeePwJbL7XdG4/+onfxZMH5jOUKrGwYF5zc/Mmcnan7LjrtbUVtInM2d7eciLPtVrNiZGqGdREp2v8N0kStOiHjVYN169dM+Op74pZDYxZPvqML2Hm1ydNa9dNLUuFCkeNr1L7r+9FePvAnFNPlNinBs3yqTouETVXViJE4+O6O4tLTeSH5pmNtEDCrlA6LDGyWgIW2eEHKNmx2h+kqPE8Ys9DTP0bj52gSACCQ7n3RgUSImWDXh9taYd/sHsWhNBEFB1MJjj73h8BAFy/chVXfuM3AQAbPrVzPA8xNbEab34TxrHtiNfQoyhtynu/dXiAxxlrr21vYmK1MRRw6b77zOeur+HgwGjKdY7Mv+lEIqSOXjKedh5n71duBcMhnL7gxulTaBBJOOwP0F4wfnV0tI/vvM0K+Lxee8IEZKtpohzSefWK6d52ogJv43ozCDT2OWr91Nk6HiCCd1yJsEzhVJ/+1FysQx2a+B0oICFieUlFmDA22VHZE6WRWwkipbBOrZSDNEPCe6WJ0JChhzX6za2jMY7YpW+HIXwrJG31QzwJyfh3QyqE1Nrc8DyUPHYkZj1OtHJd8wsicnoT/Ws30KEfPcTFK5+M8YVNgzZUQYhpZ3Gq+SEF4HPASE6knypLhyYtigKJFaQX0n3G9FbNdCdPgnDuGmJCw6A3pkNjjAYXpj/j+M9CelZKFI3mAhLGmMkkQaHN+bcPzQtGYYa3MKcpAo1datuojRrOUZumV40QUytyxO7u6aUGjnY5EEUBQ/rSYhlizBCtmDeFkYdtq3MjBc7aeJErFKnVFTKfu9L0MBmYz5XKQ5/HXkBjlWnviGgrUYmw0Dd/P71xAVvUnMq6HahDEy+azxltm5eLBA9wqIMuNboHBtV+QfoYcb2easMU+BSRj8N+gTxP3L0IqHGm9RQt6vQn9Ww+or+FIPhtnvvvhGnjx8Ph6LhG2OwxiOM/FKVCMR4f/xAAWmn8wi/8HADgR97xPQCAYS/BA1XzuWWgsUd/Wj1VxymiSJJ6jJAiykP6U2uhimTf/L2lgJLXv4kQY4Z4P7N55lRzSisgLom+KEsoaquBOoJRRboBHUNVIKVv1oPAaaZaNKIWAhgYP89KBUkox35yhEe/5wcBAMt94yvl/fdj99nn/v/s/WmwrUl2FQgu92888zl3fPMU8WLKGHOUhEZaQkIMUkG1GAqqrKHBirLu/lHW1UV1U2UNNUBVNYU1NE0D1lBgRkFJCKGUAE2ZklKZGjIzIjIy5njx4s3v3fnM55vd+4cv93PufTcyU+jdxFJ9dlrGPe8M3+C+v+3b9157bfO62UDJZiunX3gBAe2tHpq1+8bpNXzxwKz/iBrAyOjm3u4OxkTkQOtj9j8AxOJWT8+/+xACTxzhjHsYxXoyclh3BeD4AYUQqCy/mjgeeZOmRq92tu7jx/+F2eNcXekCANK2h2eJ2Aw8jbuspultNrDJiSxXY9TJ3TVhpUStV0e+bZ7JyJdIaAxjKVHQh/a4zpVaoUdE06Qo4XHt2vAjCJKB36MeCKFxmii/PCkx5Hp1RVSYcI1WfTPPSbeNjz1nEGrDBw+wdecrAIB/9IufQ4fr30tXnzL3JgTWu8Y/Xt/YRMH96PjBNi6yYY9P27QNhV/LjA7ulRnWNg0+586d27h86aL5bhDitVdfAQA8//yLAIDpLLGzg/euXcMGqzh2Nzcx4p4uIqKrFoXOJ4RWc7smhGsEdBIiJPnAqCPS8+BAzNJHaTkznU4v+knuPwAqp29XuBiNoPEUWdzrUuM2uShXNxs4x/3csFNDMDW6NLb+da+B7MDcs1cBfsM82z0pkVpOT+oSvLldUqVCVM2R2BYpGtBn8gKBgJ9PkhKzwsxvrxEi5FxbPjlPSgju5wqlUNJHKZR2fKhXAjb9kNI1WoGQbqi6SmOfDQQCHn8PCl8h6lppD3NfQrs9GmAI6c3xbIVO3X2W2rWPvzsCLufvFl4soORrNbMeJ8lx3GBGvkUDXcdBaOebc8luS2WR46hkaXZowzkbmg1K1DWDvq00/hm7I/yxOxM8w5I+OVYYE1r43fszvLZqFOKgazY92x/cR8oFtNGLkVrCV125jlCSG9M4rTAjRLCWKTy/Zjb3SZZhwvvYr6gUhYZmkEKlGWrnqBxaYXrtffPdXRN0GK6vY8juaY+/+HGEq10AwNnnnkd5MDD3TwLrfDzDiASP3q1bGL5oAg/NZhNP1c09i/AWR6nC1tg4dJ+flYhI2mhcsDkE33ZVOCCRolIKIwYb2u22U/RWq+Ve2y55QRi6co5oodueabZgjus4T09cBIS0DtBiJ5g5dFLMty041GVJkZyQm/PCB/4xx/mPDVOcpj6VoxIzOhen90e40TXfn7TM31tbfRR03uNuiKlRafTTynXCC4mlDjUwtsZDCcC3JM05aiUJuUkqrzKFmCUUWZ7D48Yy9jxUdkfKW/O1CWoBQJBV0OzG6E1TzCozrzm73K2dPYMz32G6WJU3b0PSeL9x7RrCoXHCRrbjR1Fg666BVX/2vXcBkBBdAzGNFvSc1NLCnDU0JuzAt7q65has/YMBOF2OELPZbGCdxPT3H2y5ksf9/RQbm6ews23g4I9e9MOm6VCHkCMe4+E9jet4BCEwHQ0AAHV2aNrJCvwKg1/ftjvD49SlYpQj5zk6B2PstA/r0vV7e7jA8sCgFWLK8rJkVqLB4/nUtbIoETPIfiGIkVGvkiJHybWoHhG2n2vUqUujLIXHmwlDHx6DrTPOoX7zDcQXTeC9LUO894pxoFRcx9rHXgIAyNfNZlKcOYX2FfNd2R/izuc+DwAYjEdY4XMVc8NbCAHbquLVyQxlYezJhctXMCHZ8c2bt/DuO4b8vnLlV2ruhAEOog9H2o2FxdRDkx1ox6MxPD7vZZ5h0H94jTl5OQYa/qHE0wtBVmXu0Tar2PMUXm4b+/DC/SGebJlA9XSYo8bf9fYneEAi1vCUcaKnu0NErOMJVkNkDJaNZglClrSFlrg5L1y3qSAH9lkqOxMVhCKUnY6+yhTsLDQgXNBaSwHrqVoftSUlZrzXcpphGDMwl+RYoZ0u2T1LeR5siGGiFJ5jkOqa7+PJ2NibnBvIzShGyaTCV2bFvKRBzJ9rLQQq25jD/pXSbRB930ejafyC0XA47/LkiN0XZNEmCHnE0X7UcnxJAS/uoe+pSkPRqe33D9Dt0k9Jc1SJeXbWVsymaDjexW9xjfnO7QmuMrkxG+cuSHnqYIx+xzy/KUtw7m4dQNqasG4IyWDZcDSFpN9j7fz2ZOrW5TNehPtMVuR5DsF1SPtmptvag+3w9/5uH5e4rnQaIYoZyzu2TXIvb9Wx9hHj/3ijqSkRAdDqreHulvGtVnO7RmlscZ7PQ+I0oyefV2N8p7ZOPfVWCGzzrS9NMyw+i0VurlN6wYLtWUyu2bc8fP3OZMf5IvrDTcIjEA2NsixN+bctz9HH6NWRX80vSmBtzazPe3v7+OhLhuJ5hePZLyq8wlt5qT/FFdqm2SRztqA9GCHr8PnlWnfnQR+Rop/S8lHSbxoNZ65RScjrrPIcFQenVgIV/SpVlZCsVbLlatW0QujZLtcZApbalJ7Akb5KCIXAhDrb8SIUnS4A4OLlx3D32nvmGJVtsBBj9aknzQ/zDC12Hn/jx/8FVs6YdT8g9UU8KpEwePHlwdiNe5Ikh3Ot3kIXVzfu9mUJl4RbmCPrY/sLQICyKI7M4wkGUoXPwMTDZdUmHmft1Ic9C+bz2WyGkPa9wZ8caIVbtL0/OMxwmSXLs6R0utTZmmGvxeZHDTba6I8REwwgGp5xtAGMZwnYdwdtm9DTQMIyx7gUqEiOv1PlSAfmdys9BuanOTYYDMqyFCHL3/pazUvamVjzfQnRMsm0U40eRu+ZoGg3q5BODIH8ky8Y/2nrYIA79+4CAKaPt7H/wPi4yheIHXk5R0sAHqlr3skrPMXSxFde+TJ2d+dJO/uMvv32mwCAZquDt995BwDwnd/x7bjOzqlSStRp87e35k2gDjeGm+tPeYKUDybIpReWtoWEILCg08cE6BeBDUIC3IdHDNgMywyvto1+fXJ3ikt1BlnGOQoeb6U/QsLv5Pz7YGdgEAkA6muxs0uTUer2cwHnvigK51/UlEBJu5WjgkfFk6QBycc5atzvTdMSIdfHDBoudcv3Kq1R0C4FswIzW3aZFrDVjzHX6kLMk2AR5qWSYwm0WfttdckXAlPewyujMQ4Fx+2+NIpc8xE43zBzIIZDXRUPAQL0w+8daahhQTNfS5ali0tZylKWspSlLGUpS1nKUpaylKUsZSlL+V0h35qILpfxmsNt7WtVVXOSQn5qkqZy4btzsbDxV4gweX7tEv7wmASEKx3c59d3vAqSEf+ZrhAzimrbeWaVxCfWTOblNb9EQJiqbMbIieSy4DwlNdpg1sUTeIWwvaqoUGPp0h0CBWpKOdTN+c01rK6Z6P6d999DdsGQAh5MTPa4nhSosYynf/MDJLeZdQpqOO2ZyPIOyxLvv/0mWiR/b505jRrh0f3tbQwJqz9jUSKTKf4QkUFCKMwImZbQiJgRr9UbOHPOkGre+sCQGWZZitV1Q+xbq8Xw2GZ8eHCAGrMJjQah4VHo2lR7nodW2yAolKqQzBZhjd8kcckHcUwi60i20mXs4QiuX2Vm5eyzl/HDqdGFXreNHUao+z6gqU9CKIS2VJXlQ+M0x7OrZl6vRUDdoiLaAYZDkw32GZFPpxl8Jkg8XyIlu2GZeRgzgv+ApRlNAAEz5V7oQzELkXseSovYYstcWQpqKZB7QEBdb6caHYsGJDlw4PmYbJlnqNtto8XyjkZRYEZ4cxWZ++0J4I9xDP/zKkNVZhxVgZKIpqoqHWlknzBuKQUazG5OpzNItpoPwwBTIr2y1Byr3qi7NslxHLsSWQAIwsghA05GFhXmw3IJDh7i3glD36FCTPmo+exllt1dPX0J30Zd6vTamDAbORKAatiZqgDOb8ixPIcAT2yYTPH1hkRM5GltrYmUyKgRxyrMKkQpiX/9EqhbxJeHGa/t1T2TmTkbhZBE40hfuuRdIQX6RPac8s1zHm+chTcyc9R98glEKwYddP8Xfw13f/1VAMAadaa6fAH7hFVH0kPCa1tZWcGM83xPksy10vgu3kOlCkhmlop8nimD8NFbMTq4t7O1MO42O7xYzrU4d7bERWFMkvvxaOhQh2YJOsEs97FyBM38dU9vyYSFWwPf2jfj9dJzPTxOovhoo40JM45jCUxaZv4uBECTdluydH86yvD4hpm/a3UPmmiXRq+OiqX+Qxokr1IICpav+hX6th+F8CD5bPh0QzKdYUTE3VoQoGAGHVJCEaqfsglGMVVzgLwn0WRpi05KTKdGdzq2GYNW8JlBryCwz4x+Nh7hDiH3ZzPzmyQv8B3KNuBInG0Pw9DRBgRehJJjYedfLaAOtFaOWFwPBg7RZVHApnGLFY15q/UjiIYTk2Nsn5COsNcShmdp4hAGQggMBgf8bgCreJ/7qlnrTz+7ge+wPtZGCwPaqTE0gq6Zu7ZQBnIPQLP8rJ9leGnV6NIHdQkQ6d1ebWDGNctj9lqkBeqcm1tFBs1GQKfCFgpCb6YWYLlQqhsKiTpLGgsAHn2kvQPj86T7A9zfGZjzbqyjInIn7M+wwek4TT+mWl1DxGvfFUCdJZHfCd/BfzTmNvwHUltKnWFu8+dToHXlGhpoi1ZZBD4d+sfXQ+ItfFOIhX99PUTYv61YfV9AQBxjPw9/f47o6veNPsVxhAsXTAOk7/6u7wQAfO4f/H28aBHCm21MiThOAKDLBlBCu0ZFkqVkWZrhqfUuAGC7HkDZKoK1BsopUZ+2pElpRKXH4ypXhRH4AVgNhP0R7aNWENo2whHwLeJfSEzNEolqZGyIl80rActQwOe6ecqLUVs3qMgm/bLp3h4KPm/F/gHWSUIeDIfQREBcp18spcAffP4j5rwvv+bGN03SQ2M9b3DA51EIzEv95AI6Qrvv2F8UCw0nWD84/8eJLXV2bRLza9bVgl0sP+TcC3aM91RWJeztv7ptKksur57HE5yD6XoTmvuxiSqRc53bGFWgO4mKZX4TpbDBapx7HpBSB1dOtVH0iTzk898pFTz3+GocWHRvWQGsgLm5b9aPrgbenxjbc7EWuduoCYmUCHupaYP8OjJWvTzz3d+Lp77PlL7+m7/1d/DUd/+A+eGzpnTxVKuJ0c/8NADg/gfX0WB5bCMM0dg0+8YpkbhIMrzIMtm41YRH23Xm9BncJ40NAEx4nadOGXRhPQ6xxWqNf/PzP+8aiI1GY0ynPLb1rZX6UJ352uXYv1Mx1UUOHfeNnGqx/Np9XzgdfG2XZP1PruEKkXvJWgM5dWIIhbLJsnmtHerf+sdJluExVn9NogAVG0Y0VusQE1ZYcO0Pigqiog+ulauq8DwftoJ3yEoCr6wwtFQ2wpTYAgaBtUcjJFl22YB0ZdRVKBHR3+tlGhHxWQXX50Ip2ILFqaoQEsUVAsg5v7uc3EhpfJI0ABrVofGzL6ezGXzfUjsQUVtVSNLFpl0LctSvXoz3LFJyfIN6tER0LWUpS1nKUpaylKUsZSlLWcpSlrKUpSzld4V8ayK6NLkI9ELEVi9G+Jht+bAaXMzfFoLcNaxr9wuJF1k/fGN/gMmKicKmDR/1FfPdGx2J1S0TwfQsR8dqEymzw2ulQMEo/rCq0GRv6wYvp4KHRs+c78EocQHwNPSREpGyzuN6RYUJETEbV6+id+kCAGB/mmC0NzDHZTR+9SNPY8IstobA5mnTyjhtNpH1TWReMZv9+L/3I3j5Z37GnOuZp3F/ZD5/JqpD8fUVRndn0xl+jG2YO6stPOib2u92dxVtEswLaNfi2PJuRVE451wSwqFuhBCIQpO5SJklr9XqaJAH52Bvz5FG91ZWHYn9YMiM8iMXfegPxJx7xajSMdFjl72Hy8+bv6zp9wzyKMqAZ/mT24Mhpl3zfhb6aDDTfaMt0dm26SASP6+1kBEV8xgk+uT+mlYKHRZUz8hR0oRE1bH8EkCTqMChH2BGdEOXz4dXFLhPotV1zDOiWV4isCT0FhVTaWS85aJSmJC4U+UJOkT9WXLovBbj+puGP+B7vut7MCGJbxYFOPUJ05odv/ElAED63NP4c5/9FQDA5auP4/7N6+aew9jVpiulsL1tWg8Ljsna5mlDfgug2+24cZfSQ40tZiX1XymNEVGKnuc7bi/f9zEej1GdIEfA15bjUlyWE2OejQRA5AQgSbQdVAJXacfu90dA16C08kgi7hnbdLctsbJLHeKxdtshnoiMTqwlGkM+1/uqQkQERMAsiycEVMdBsxBaBEYtQkGy5TUeNxvNMGZ77lWlHfI0CEKsMjGcCuro3h4m5BSbfOllPPbH/wQAYPbOdfSu3TT3MRwAAKrbErBkrf0RwCxz99w5XPhOk/HHjRsAgN94+038d3WS1fsh6tLMq+/7uHv3DgAgDAJIchdeuHQZAHD75g3Acep8A6lqjrsfRgutzr8JaK5F7gJ7zm8URaYxhxYAgG9ssWyYNU1XMc5VAwDA3u4IFW2TjjzEq2a8rnU9XNw157cZUrneQWXRNLlGn22696oKPvmWYqI/PSlRtcgrUXpo8lJKP0TKzLkkei/PcjQ7BgH4mPDwbmLWEVEpCEs2vsDbVNoW2xAAeSVVs4PWB4ZMvsc5r0Fgygz7ZS/ElDw3LyAAeL231g1Hybgq8BfuWf6+0qHg8jx3/H95dgzCWANnzhhE8/3799xa5/n+nPvQfVXj8GKzaIskTh7VtYgInPtFFk2azOakrpZ3M4xi97s0zQHf6JAMjc4EhcQ5n6iJnRFm5DxVoYTfNc/L3bZA74G9N6KtVlrQsbFzp3Jgj+vnbllgnfbPIrNK38OA6KQQIabMrI9rPhSRFZZjROYlphYdoTTuTY2fcTauISIa7zxRd9eKqeMP6b//AULy1QSdFZw/MJn86H2DXNtu1uFZBH4co7DPZqlgjbd95PY9gT/N9Uh6co4wWBRVOcTfvOoAmOeglRv3Q/wxh0zAAj5Qf0iG/IREL55LqyMJ9qN+01zvgyDElcsXAQDS9/FLv/hZAMBnftWge3/4TAsXPPNcDLZGULQL0peodYw+bbclulu8X+sv95qIuR6s5oBPGz+oSsRck2QxH++iQRS7Amr0kbJQOmR4pOYoiy1y5awrBc25UlkJSWR1aImXS+UQYf3RBB/7nu8DAKy99BJaH5g16W3yTrZPn8aQ69v5K1cwuGsqLlbDCCHX5A3atne2t/An3nqP117iONL5er3uUFmOa6us5rolpHumPc+b66TlLasW9O1QcwH9EJj40YoG9GKDIGGcWYD6dRzi2r41R4602h2HEqkkfXAR4EkLeH8wcjyBCCS8lpmzm40Qq7ski+cpxnGANfrSa4WHIRGX/fEMtdKcsUN75QUCBX+oFdDhGA+KCpK2aZ1XKbVGwuOKSjsE1EQp9OpmDxTUjb732l3UiUZ+4+Uv4/JLHwcAnHv2Ixj+0mcAAHe5Ln1w4wMMbxv98s+dwYWL5vlqr6xgjbo9JGfy6+++i7/DCpx1aPwq9bEsS7ff0kphTETXnTtGL4MgOEQcfp9rZRTXoKoj+vghNsiT0q2lWf5om0IJHr+qKkeEXlXlHB24eF1u7cMiFHZB5yuAlVAi7gIAAlnDhcqsj9XeBANyBCIQCMl3eq8lsbJHJDTXVNGsw7c+eOVjSN0eVxX86rDP5AuJvGaRVY4aDqn0MJ2YdapuOfWKCjtEokYayGkzorJy/HMNu5/LKtfwLa8UJPdzW1mGx0Leh+UDV0BO21AXwg2ZVMAm0V057c8tT+OvukYDEnMePQGPHL5RHCOlP2fHWkrv+DXRHgdYsHGHNkbH/+ZryLdmoAua0NaFcsRDe4EFQ22/f+i3cJ/b+fmjT5oywP9dVjgHyvN9eIQCRgIIB8ZZSjohyp4NplkSVOG6xNXCCDm73UVCQg/Ngt0KLGlcgQGVLGpESBPzulUqxDQALXYEez2ZIqChnIzHKJrGEG589EUMf+3XAQAlg0levYF13tntr3wFkh3q2mfPo23JCBnQ+9Vf/RyaJMnsaeAyS3sGb7+Hp0e2+w8VPQjxm+OBufbtu6iUJf5N8ewLxpjevnkTI0Ks7QIbhqExMjCBrP6BCVS12y2UfL/kotzr9VDRAT177hz2Wa61de8OUtut4aTlUBB04fWiQbQvXNdFsfDx/Dc/dMVAev+Ur5GR0d33PVceUgMQjM195Q0fussAmYWQApjS2Wo3GshorCqhUVJ3GgymJmmBiJuFBMCM+lJTQMCLGxHar+MAofVtpMaMAZ/EE9igwbXkv4FSyKwTJ4Amn4WZH6DNzZtkoCMIQzRsB5sigyah5ezt94B//4+aE377twMA4nv38Fs//WkAQLMRoXBBpxQJr3d/f8+Nps+gqJTCdfHb291zZPNpmqHkgnJAHWs2m66pQZJmiNgRp3+wjzNnzx/azD1a+XpG+KhNmtumMArNJtJ9z4z9H33a2KY/pCv02Ghj4Hko7QIHDT00z2za8FG2zft11hJ26xES6pKOIqjYvF+THmb7ZhxinxvaCg4qDd9DwXkOKo3TtE1966S06s7J177AhKWSaZFjnUWvvVOmA2uyf4AJS5ADAG//xE8AABq9VcS0t+AczTotFPdZYliP8cTHP2auN82haSMmdMae/4/+Q7zzD/+R+bkukNtuSL7viP2LIsf580ZXtkjQeqjjlOtGBxwfaJhv0Mo8RZkvBjpOeEN5nLN4nG06JPY9BUcZqgHwGfnRq8bW/8is7zryhJ5EQh1QWkP3zVonVmooTdUDPDqLygeS1HzuxTWUJCGPpQc1MGMT2u6IVQWfnYsyT0BQn+KyREWHaEpnN4tCZCxDvVCTyHmMsRBYpWNoVQVKo+K6F2rtNgOTNEfHblh53FQKXCVB8RenI6zShjzu14DKOF8NkoPXV3v41S0b6FrYuKsKAbsEZcli4MpubhTGY7MpEFq7DnpVWSw4bdWh3zz8+iRl0Zv/EFnwi+wbtgwqTSbwA1v+LQH6AH/0SeNx/P4yQWkddU9CUJeEBDS7JeteBPQYOGcJYi6AAZMxUbOOimtMPYxQjm0LATrsnoexDcZp7brgqTR161zGa0jiAE3aqXqrjhpfv17kuGr9O+pBd2UV99mMoCpKJFy7/JVVNDjnHV6LyAvXaKPyPPc5+mPX7MGWZ3qo8Jn7dzmU+YK/qnGYwH0hIevEJnEklF5cMw4HJh6SxXOctDDwZonM9SES/cUv2muev1MUBe7Rxm9srLuE6HefN/r0/TK1KobQ85DR14EvoFjSmjV96I4lA+fGUGvsMSHTbDVcA51Ih/BGh7t+VVrBt4kcKZHTfwkrDY8Xa/cCSeTPA2SehxnXvakUOM3rdGW+lUZuO60Lgeu/+ivmes6eQ8CgxhqT0N75szhHf82vxY6yo3z/A7SfvHrouButy/jsF77AsSzdfcRx7Mr0swVf2ZVXA4c277ajG7Ry1C1SLgQCYIdJHNbT47o5PhJh8kb4h4P+Toe8BZOkDv+GrzWfkdFo7BKEf+SFJwAA36cTZxc8zwOC+TpmO1RXDQ8FszAVGwUU0NB2/xKHmHL/FikPPvdsdtSGRQHNQEZNAolNzkkPGW2hzwAB6jV0bLxaKww5T8qTSPsDAECzZ9borQdb2GdwI9xYx73P/DwAYKW1go//XlPG+JufN0Gqq40WbvK4o1t3Mbhjnq/J5jq6HzElr5M3DZG8Tmc4/QkTNOu/9QZ6bPhUjyME9JvjKMJb75gGQQFpRFZXurjJYJqZAgZOstSVptmEiflsbhDsGh2GIQYEUzxq0Qvnd+8J77A5cskCG/D2FmyTglM24bnv/OhV4z9+TI0wYtKt5Xuuu3zpAz670hd1H7plE+7SHXWamGdzLQgB2qUQEgU7ylpdypRyjViEL5Cx/DHUANiVOGU5Yhr6zgdXAih5b0OtcYr3NKFP5VUaE/pEgRRurc1UhZ5N3nK9z7RCiLmdbNO+NoVE7tYr815bAK+wDB2qcMPXajWR0x7lWTHvfGnX7Q8LcgGYJ3eOKzo8urZ9/bVuWbq4lKUsZSlLWcpSlrKUpSxlKUtZylKWspTfFfItiuiyGNrFTNfCaxcFfDiTdJjPU8IjNBEk5X1qotFgbHWn3kTKWOBICewzG+0PM2xmJGxdM9kDXZYo19mWtvQRMHxZpgWGhORGGaOxaYYzLDvaqMX4SjEEAEyExDYvsBma+3mmDKBYguHlM3QIsd8dDvDsn/4PAADv/uZvAQBuPLiH3/MH/wAA4Nxzz+E+o6lnfuSHMfiv/0dzn0TBhEJiRkK8/nQK6Zmo8tP9MRzMTZj7/ZcqQ8js56gq3VhLoXHt2jVzPN9zBLw9tkiu12tz5FZZImc0eTQaocnvNPi3LCsHuS6TxGTCAdSbbTRbZtx2duckiY9WiNCymOVDKEmxgKBY/HtMFFkIk5UCUBCZcxESXSYYZlEDE9sGWXgYkMDP0wU2MqNHBUtaparQPMOxySTazFJNZzkecGwylt20pMCMLLyNVgyfpazCD7HHCH+NWaWgUkgJb52GQHOBQNPmzwOW4I60gMdz5GpOJJyrCoLZrbBtSlhGb76N3tXHAADv3bkLj4i8U88+Bbz6ujnwR0yG7V/98q8iZ3ZjgrlezKYzRMyQx3HsWhA3GgaC3mm3XJZyNBw68ssgCLC/bzIKVm8m4wkytnheXVvDaGxKUJqtDvb3dk+wvfFRpJZegE2Lh7OiWjl7ZdBcVsckbI4noy6dVUBAItXH4gZG/G4ipSOm96cl1nNjLzRLPLpKoTrFsrXCx8FoAAAoSoVIEpFFZI+GRsCMbyAlcq4QZRRim7rEXgfYG02wSZTHJNToWPLgUmGnxuzedVNqkUJjo901x6o3UbC8xDt7FtMvfcWcj/pT3b2HigTnp86fxe77prR1NQgRMfM4JUn+r7/8Klqc57HK4TGrOEsSREQJNOp1eMxIHiLbdVkj7xBCwiIz7TvSmy+TWmtotag73yxEzjHyoSWMR+2VeS24jihmtxuTDG0iFvx6A0Pafen7Lsuc7s+wXpK8fYVlWAv6VGYePJYHyaxAooyuCqJChVAQzAbGkEh9IiSkh9Azz3oQEaFaaoR8Vt5TGSJeZ1mWzjb5zEKOPKBNPaz7Ifxd0wgjanTmjSaoF0VVOcTDRhlgqmxpyzyL6m2YdfEf7+8i4HwXap4ZltJzJO1lUUApm7WeI2wmRHRBSocwXaRYEERNaPUwIuzD//2oZDG7viDimNeHEETzD53NFKFDTWREULbzAjWS2wbNJlgIgQICM65zxSBFa8qxJaG4KEvk69SlAoi5fgZFiYRlilOLAlQKLTYlqAqNMcuiZzJAQrtYI2quHGWoEcXn1X0MiMYvVYGgadasbSJi94cH5uQAPE+ipH7cu3ET8txlAMD1CwaBEymN2jNP8lwCU6KS2vtvODue8bp/ShUIYHVNwCWwtQaoY57UDlVpx1sI4ZASSotDlYGHSxqBw0Tj82OctEghEEch0jRdMEOLvvf8Wiw9gjpUhaFQcszPnD6Fg4GxG/axCdMMNY5L3GpgKuyvBDLqk5gUaLNxCrjW1YVASL+pyCQ8jpPMCmQkbbbQAqEVPKLFfQHDtAyg0D5GM/OdJrcHKCsERDtMfaBlKya1wsyuiyFR9UGFbmB8lt6Z03jxh41PrqM6ylv0hVjG367X0XncrHvZu+9juGsI1IPNdfRvGeRMTrTp/7q1hYDKUCzMeRRFDlUnihJNNno62F+g+lhEbFndqubolUPoioWmGsevJY9aLHJMY74lXdTjav7+ocYdxzVZ8ADShjgUV5ajTZ83aNbAYhtUSiDhvk9Co0nzPambczSUwoSUELHS8IjI8nOFgrpkfelIVRD0m0416piG1ocKsXNApKAtAy9zSOr2LPZwoW10YS8r4bMs/u4NUypdCI1m3/jS6Xtvw+M8Xn+wD3nW0Nh4Q+Pbvq0qSOpoF8LZseaDLfzzHbM+fmrNrHO/Mhvhi18wSLDtg31MpwbZf+HsaUz4+sqVK+iuGDj3as/8/eKXvoy1VTaXUto1EFNKQakP96k9T2KWGD2eJQuNOU5ChESn08GIVBhCa4D710NUEE6XFt7DwqUJz5Uu5rZJ1jRBp7R2qYYan4tSARmbPEkUqE1p81rGJgihUD9l1p2ykBC04yIrXfO8nL5YBI2QvpovJaqIpYLKw3Rm9LXJdbDUyulSFko0LE1CpZEpW1nFSjJocCuNChraUtUIAUUEWWYbdWjhKGPqEK4Uu9QVJP0DAh/xZcwrh0wpv3k9Hk8QswGZ5/vG/mOOuDNL1wKa+bhwziGI8HGvgW/ENn1rBrpszbbzALCgqIsLrVXk6ogiW0WX+PynngEAtGnwHvQE8vvG4hUe8FFWEr3sl9hnDe6oLOGTE8hycelxjjCzXBLA2tBMxHtehS7LBaeCcObMwyYVeVyUqLj4h0IhtgrHIFSqSgRtdiPr9/Ezv/izAICrVz+Clz/7ywCAzUuXAACT27cwsVwVly5j8sUvAwBu/43/DzQdMrFqNoof/+7vxPaNmwCA/P3rCNkRDVUJUDnvFWaz+X8qSySJgfYrrV0Hs+7KilOx/d0dB2+1jleeZc45Xl1ZgX/2NIdfYjIyxlnyN2maus54g8EAIR2QtW7XlTyeuOiv98AcXwornBPh4We/3ehTj87UxBdI75p7rSTwOGv7XysL7NM5S4oKAcfcQu31OIdPwwkpsHpgXr/pV2iw7jkjH9E0LSG4QUjSElHdvNa6QsO3HDNmsZVQznsrZwlGrGNsqsCVnljuK88Tc9h1JTFiwOV5PwZKG6Qzl1j5Ei2WnqU3bmL6wPBrTT0Bb2bu/8Ebxsn7c5/5JaiKgbnOKnzeT1mUqKhzzXYHY8KbLb9WvV53wdS19XXHCdDtrWBr2yzkDTqQaZIiZ1BjNBw6p1oIgW5vBWk2w8nI0SA8DkHsH/76h4BqhcD/8qmnAQAtq0uhRO2OGZNSAit8/3pZYI+6lOcKERdB+9evNGL6IKUAni/MPL0TF/Do0KfUJV1oBNwP6AiA5ZipKjTpqA1Zon26HgEMWCFLMPDNDzs6QsmAfMaNRhwFmJTG0WmWPjaf+y4AgPdrX4IgH0XNlqeVJXyWcHj1Ory75P6bTNAmr8uMz8v//pc/g1U6Y0oprJLPcDQeI2Sg4+6tm9h5YEqI6iz9LgsbOgGEnnMJ+EHkYOPJxCQgavWG23jOJiN8c0UfUacFvVrk7Plav+XvfuLbzdh1GUSsznXhU59mvkCT4/+gLLBDnra00AjIl1YRNl8lOSL6U6UEzu2bk7wRKQQsrS241mVJhTad/k4cYJs2rQ6NKXVDs93VVGrXdSofTZFHfL5lgIT2ptEyziJmEwxteaDM0Gh1zHf3B47TwrPl5UrjNtckBY0XGZzdyjP4p0yp1C0Y3f2/fPCu2yAs8jMqaIzJ7dVbWXEcf5ZrZDgaLQSwDgcf3PpwiD9pkYPimxGosKWLR49/TKTrcGTlmO8p/PPfcwUAsGo3zWEP8S3a6wBocNPzQFUYdGiPtIYgt5tikKlMKoS0TRU01gZmDO80NKzP7tHuVEK4zmjNOEAys0pYwo6h7ZIWxyEK60+MxujTqLV0gDulDXaz7E0CYOm/rBQKdjz71GNXcUCfYG3DdF1sXL+J6DeNX6U31tG+ZbhrxlWBFnXhFvmA/uO79+HKVfVCqZXwAK5/lXp4/LXW82C71gszphae9+MilDgyvSe3mVRaOz5Zy/mkNZzt1Fq4YLCy/Ia+B58dXKGBgMmyTquDv/60eQ57lisq7KJ+1ySyJj4QUp8GSmFIP1yVlfPDNfVpnOSIufFTEjjdN3rxbqQRcLOb8FnPS6DmeEnnAbm4UmjRbwqtDZEewG6dOkkwcvoUwsYppb2fegONtrFHrW7T8X35t7fRIJ2IDVjk+33c2jK+0vrqGgImZ3ytENEWvr1jSqn/r+9fwzy4ox0HUa1Wc5vHwaDvyqYPlUwf54IIPKxPh97Dwr6JwYATUSlNW/MhiARgXhZ8aJ+3kJyyJaha4+980gSnu7aEbqWDxrbxR0aBQERdmkJhyK6LVVkBDFRa01zlFdrcQ5YCOMUt0vVQIeT8ZeQlnBXCPf9bWYbQdjYvSpxrmTlV1IOmL5GS8qOtga8Mzd6qqT238Q/YgXr1/DmUO0Y/5AjYJy/z1bCGYmD8k9w+XxCw1iIG0ODY+BB4loGaX98z+8B/ur6Gd7/4Gxzq+Ti+/tbbjoLnwdYOnnrKdHT8/G8YMEWz2XA8T1ICNdrYvb1dFPQr5ipl1xyg2Wi4ZPNJN6qW0nTHdp0dpYfDQZIjcig2oEwiBwC8Jv7mx8yetcn9eNVuo/3A6NLEl/BAGh+lMWbXxaqqEFo/hnapygo0K7uOAafH5nreDxR86x9Q/WYLJcdSAz7XoEhrF2+Ire+kBCqCA/Isw9QCZTwfWWKu2ZYzeoFExqSjr4Ex7cQTUR2Cc2oTd74QULYTOwTq1qcSAiXP/Safk/8bk4wcwIVxBTLqUhAEeJK69N57Jvld5pkbeymlK6N2Pz4kH2Yb9DHffViWpYtLWcpSlrKUpSxlKUtZylKWspSlLGUpS/ldId+aiC4LNXQZR/EhAdsjkVr7HjMdUdjGVxht/1RuspErZYDamsm67IYSIxKlXihK7KSEDWYSew1GSXkKP/ThEykzG2aI+cEZGaBgFiZiXHEvEri2b6LbEwloRot79RhtZs3fJ3qmJwVioq1eeulj+NybrwEA7gcerrJT1PC+yficeeIprLHzE7TGlSuGzPK9f/JPEbL8a3LDlAFNwwiznrnPF37g+zH6lc+Z3zVbAKGw//SOgcwOBhOU7I7YbHeQM0q7u73tkFd+GKEqcp6aGTVVuQy88DxskJi6f7CPpn2fcxTFsTvu6uqqKwNJs2yeoTpJOZStWogYH8qALabF5qhAK2FQx2skJ/xOjkGn8uBvGBTdIBSYkij1dFFgPzE62U4lDuoWtmpE+nMSSzXN0GEk/xxC3CCBsqROF6GAz7RiM/ZQzphp9X3EhFxpdkkcj6dok8hwVYe4BzPmO77AGvXTJ4RWexIJM555UaFJ/d/wI4yZxZ2xi0v79GloQuaHkynOPm+QbWGjgfTNtwEA/4BdFA/29h15vu/7rjRRSomYGdqqUg6dZTNM/X4fZ86e4VgHyJmZHY9GuHzZZPFsRiwvcghCk4WUuH/PIHrKosB4NHINFU5Evlbm82jHF/PmQ18LgwZuN8ycPUEkSaMKEG50AQB55KEgKnKjLNFn2VA39TGMzbEfZ1ZpOMuxSduUHMyRbmu+h6GFHJfzLOfpghlzKZGxbEJ5EpVF+rFDi9QVGiwZ6lUB7rEMctuXWLWZIeplXhZYIxI0WF3H8P0bAIDL/SG2aVtcqeH5c3jiB78fADD4rS/jAeH8662mQ6b+NJESH7l6FTskwizzEjvs/PqDf+CH8eVfNxlLz/dRI2rMJ4I0EdLZKQ3tun226jUHxw+ICJuyEce/GzmKwjmawToOZWrFh81lRY0VvMtn6wUiWjoIEG52AQCTyINmyUI3yzGkPp1KPfQDNqRgltoPfUgLnR9k0LRT53SAB9rMVckMMmKgIkmr74UomdX2PB+S9rQdmed8phPUSZz6/XEHv1WYNWBHSrQspJ732Q1DFEQ0VoXCeJul0jrA2BKT027EC9D7SGtEPMb9qsDFgTnHT025ZumFrkHi8Djbf46GQ1cqFDni3hhpwlJq33fPGLRypa6+b0sfs/laIj1XxqCFNJ3G9GJm86Tla2S6F98XAhYhH9fXcI3oXZ9r85ryEG0af2IYCKiZ1aXCVgVCTDQmsTp0WC/w4DfoN/UTVFznziiJd2mTUlfCHqGV25IgCU30uic8RFyPCo7xaQi0OekHIsKrLHO8K4BN+ik+0fqhlFCcr6rSKLlG17Z34RPJZa+hlaa4e8UgI1cHY2wP9t1ItViK+5M5u4VCYt75u8IcYOC5zLkU0jXscaIXweViTvauFwbOffdrwCO+lml4JGKI6K1NVVovEFELhwxvNKztDdy9KG0aFAHAZ37tZbz0bY8DAAI+Qys6QG3d6FMaSsjMvN9OcyR2rZsJJNQn25igFYXwqE9ZP0FEZNZZ+NhSZp0pWG5beRoeqzB8LZFQL2Lp2+ZjGChzby2UaJIUekX52OJatyslThNZ1WPX8N7ZUwhZph/XWyhm5ryNrR14l84BACauq4ZG86IpQdv67K/hNKseIs/HgP7Szyap++7hLqnmGHt7O/BtKaznuaZOh57t4/RksRLmQxFfC8+rkN9A1cPvQBYRpEc7DbuX9nWFxbJK28QprK/hDm2y7Y66Cg/RqtlveKEPlRib38pKTC2xeCJQBeZ4lv7AVwBilloPM1feta59DFiiX7JSQguNKivd722DDeUH6NuSLdqmNc9Dj351pAR2SRXSryRWgnkJLgCM33sHQWj8QJ3kzgc/H7exR+L+0i4lmKN3CimRcdx8ZTr5AcAXiYSfjMeI2fDMrFvmu8l06izW/v4+XvvKqwDgmkWURYgBff44rmNlpWvuU80pSGwFRhSGGPN1kqYQRFTqxTLZR2ybhBAG6ajFkS6Q4tAfc+75szT/muf2dHHUxH3um84qY9N7IkRtlTpRC5BRl5pJ4ToedlOBxLfleWZuA89DTl3SowIBfabTMsCWNj5RSbskPKC0pfihwIRIubYfONqQUclGK5WGX5rPO5XADlGFd5TCWe6xIrufg3DoWp1VaLI76bmwhgPOeskBCjScT6ykBxYiIQSg6K983tmGhSYS2v0Hnue7LvJFWeLBfbsHW2i45cqoF3yeE+gYvER0LWUpS1nKUpaylKUsZSlLWcpSlrKUpSzld4V8ayK6vm5dps1SPEwIC0g8tnIKAPC3X7yE9vuGY6HG7N9OHOC8jay2I9cS9JXNOi5sm4j1zmYTaYfoA7aUbddD+GsGmdLqeZheM5HsmQCEJdAdmKxUAwI1clUkkwwleRo+mOVokmR5k+1lr3Tb6DMTMKxKPPPCRwEAn/je34tbt28BAPbvGRTDW5/5BXzkD/8hc5tXH8f433zGnPfKRfSG5nriNYMCG2zv4hwzTeFzzyM+bcZkJ0lwG+aeP8to7GS857JzEAI+MyanTp/BPSJlktnURee7va45R38MeWAynt3O83j7zTcBAPVmAwf75v0WUTvNdhsbRKjdvHEDKyRNnExn6K2arOqAtewnJr+tDCi/pDXOtgxi6//xwkXEWwZdkjNjc9f30OJ3p/UAHlEG11djnN41WZ/RagMVeXACzv+pVg3RhtEnpXPkt8ycTCsgZ+ZJTUjSK0xLWgDQwxQ+0YT3dQZZt5wY5vPVwEPO7N+4UGiQm64jPcTC1mlzOOQcxdCbadwmwuWVRojzzKB1mf0opzPc+pLhLomLHFNyZo2uXMZNZulfZXMEjRKTibn3vb09lxGuqsq1105mM8fZtst27wBQMjtheUEAIMlyTMgJ5TmOEI0mSYc9z0Obxx2NxijUvAX3ichCVsPIcXxdx8vFjtH7v/zceYg7JqO7Qo4/HSkcEB0SyQgrzAr9Ut3HqT0znnqlhdBy+kVmji6ur8A/ZXSpueaj/5q5fxV5EClROuROiktgKsk/kis0mN0cQGJA/jTLd5ZVOUTLPL9KVYiZhepK6fTGZtpVEAAx+Ufeu4v6H/x9AIB3JlOcSs3z03/tDfOjqsIrbGF98cxpfOR/Y9poj3tdfOG+sdefY6bxT/6F/xi/9Blj595/7xpWmyZL+euf/zxWaetOJ2cxIEprcGB0yfOCeXZLw6FuJpMJFIlmK2avhfQPEdDPzYTEYX6lE5KHlrpjOFT0MZ/LGJdXNwEAf/X5NeS3DfLXIp6mkY+Ma2S9jJDQNu10Y6zvGH3KeyGqrnkO/YaxJb1ODI+2qb4WIHuX3EwaDpFj+f78TLtsYDZKsUZdLoWPKTN7AXkC2x6wSyTYvVmKkEiXdekjIGqiw/ud6DlPyikd4E4yAAA8aAWOB6hGJITWCgUbV9QhcJfnDWs1fCE2x/sMSaCVLl3TjcNDrhzX1vrGOiLawlt37rpzCEu6rdRcR3QFm08sC2t35v6L5/mOqyhNU3xtv+YExBl7958PkQDne8ZH+B8+ehZ4YOy7zc0+iD0MLFI0jl0W+qAV4WLfzONuPURKHYpIkNvr1BBvGl2KN0OM3za8M2OlkJPbbYP+xv40QbNm3vMT4PGACGIIXE+MviZs/PO+zhHRvR0lGVaZ3W9oDcV1znK5KZisNQA0Jzluca385dkQ39+8BADov2t4RbJLFyEPBuYaH2yhuWmer/FKFz9HvpbPkvtUq2xhSOe2QqkKkugGdciuELklhUN8Ca0f6l/yDcnXnc9HI0IIFBa9KQSkXavUnMjcAiumwxFabF6TJhna0rz+2588j5Q8Vc42hR5G1KeNeg2Ka864FaFLviV069D0lwTRC2fadQS0TZ31AOk7Rp8mACrqU0bkhSgVxsJocHem0KCNGSk48nthEWpSIaXfNKsUYiJr6lKi1zH38dzHPwEAKEMftVWz9mR7E4y5n9hd6+AJi5qn/6vLErc+9wUAwFOPXUadn99+cA/vshnUb0xtRUOFwygty9MDsukDtXodEyLA56LdOmHwwdq9fayvewjIetR3ORl4oIAyRz4OzfH1Tik8nO2aSpa/9NwG8h2zxs8sSin0kVCXNmt1KNr/aaeGFepS0giRsBrDNmNaaUWI1o0uhashRu9Rl4TAjIi+guNe5hUm1KVO4aPOtWBcaeQc0AafE+UDe/SfWxrYSIl8lEBJuqaQvz/zxJPob5v7kVsTvE3U1C8W+7gSGH9qjfZRKYWQOhxp4fjl9iTwBvmf3qSv/eDuDdeAQArrywAQc/RLpRSSxIxPTPQltEKb/HNlVWHEqoJ+f4BOt+uOBwCz2RS1mvEdktnMrZ+1Ws2hDtNssTnQ71x838fq6hq2tnYOf3AEnc2b4Z9FfyrA+VYPAPBfvLDm9jETS7Aeecgt77SKkRNVXLZq6O2asdKtGIrIOVu5srYWob1p7IRay5FeM+M2FYBmfKBiDKIsK5BKC3Ei0KFNHZcaM166sqhNqZDRLpVVhYiI+NPaQ8CJsE00PE86+F9nUuEun4nPFH08VTN+fNetSwoRjxtgzlV4IIB3fPP65cxyOs/n0KDS7b81Qvpi0pMY9O3+fT7+lltPVZV7fbwcRXj+9ta2b9FAlzXyi+VjVlkXglqOjHFxYCT+7GmjyP72ECscggOSEhL0an5eKTyg475SVsha5mFfyTQmlim1ZRZaVSqU7HwnYokxN5liWmBnZB6ANgmPVwUc+VsmBYY0lqtCoGAAoN01xkSXBS6RQH6918Mtbvqvv/cO7r5uAkfr7Fz44nd9LzJ2aomuPo7e7/0+c6zr1/HkSx8DALz+0582v1lbxfCe2ficu3sPzdOmJKx58yZ+kgGJzw/NBiauNZGlZvFU2pR/AcCN69fg0+H3PA/dHjuijc2CEEWxKw/64Pr7jkg8TRJELH14ggR1u7u72OXiDyGwxRKk1bV1bgC+CfL1FtRD0Gq7MPj4s2eMPqE/xgot1Lgx7+jRoFHKKoUDBqHaSqOy+lQKJJaElU9kphQClhjKWOCAJa39YQpF3bMQ61hoaML5C6Ex4XdrhUDA7+5xUYt9oEVHf5pm8CxZpD/vGhLb0p+0RDix0GzgMuGy95MEMXevJQk8tZTYOH8eAFAfDJER3pwfHOBNdj/5wl2zKazKOTlqnmU4dcpsoCaTsesU1O113eLUZccXaO0CXIPBAPW6cUI8T8JWf1hC2bzMsbdnnpWNjU2ssFuf7/sYj8aYTE6idFEsEHAeB7fnd477Hf/+2Cnz3HsHIzSVuZcZbVPsSazk5r2iUtizJWOBh4rQ8qjUjoQ7qNO7URqK8yhrHsSKGbfhYOwWTI8Be1+XsHjjwtMoCbeuZRXO0lG5w1LsUiso+2ymJQJbEu4BisH7mI7VKC3QY7esRhSgtWf0o/HJj6H32lsAgOssa4vbLVdesv6jPwK8+y4AYPybv4WbdApeoTP/ib193GWw4Xu/57tw7QNTElns7eDVL38RgHHYjo661goB7fGpM+fw4L6xm7oqEddsQwO7YfiwneY3Ich1LBn91yk3EyyAFj7+1Gljc2e7faxQnzJ2lYKckz+nRYUZn62aUpAse13TnuugqAPrkClXjihqEjPq2XgwQsBr67B8KJ9kYBNYNGMPttArTXK0aZMKj6UdWiHkl4ssR73BEllPsiMpUDE5U5UFOuz22G7W0Z2xnNvzsUYbvAcbqPSQkRg7EsCEr/M0xZdY0vaVCVtuaYV5l1Q4wmdVabRYbj+bTtHYMAEOnza4zApAEP6vFuZI+AuliIt2wHx3pdfFmJuFQz7NIxfNcx45/nHNMPTCtbsNkIc/zWB5fjDEGsc+qdNR9YAux00VComwpLcaJYNarUqgsMEcbiazskIyMs991PQwpb05GI1do5OIZdfrGki5dmWiwmmWvOtphk3q0g4DbE1R4fm2+fy10dStJaEvUFSHA11JoSBsZ0it8Dw3kHutFiKunxmpFIokxeYlU2oWjMao04/JB0Pc4Px/buv+wpgvbqrMmAgIF0xfFEldq8py3sBAYKF0Uc9LXtXXsT0PJVtOQIQwSQKeZ311zW18s4WuxjZoV6/XUKs1+NMQ/9tNliwfDNGzHYYZyKw8YDNiY4u0REnbFGsNyQYoQTk/t0efpygrVGOWRzc9JAysDvsj5HatY0DD0xoVdT0JtGuMVCsqSNvdeX4T8BmULJLMNaGIfWCNvvOF554DAEzLEoN7psR+dusWAiZ4dOxjuGUC6h1SfgzSFAGD8A0/BL70CgCgeWoVd7gOv7xrgoDzYlDzL/vsVmXuAgdCYN7cx26GFxL9+lCDkmM2jGIxefM721z+dkQfTQBqveAWHZMoXGzoISL8GG1TOpqgfcQ2VR6wQl1SWYWMydBYKWg2r2hAoqBepLZRRqUw65v9WNDyMaLNGk6nEEy41uz6IEr4rtuvdH71WSVch0xhu/ZWpet+5yUFfB4jCwOcPWt86C7J6LdHA4QsMSuKHM/E5j7fSyZYpb7avaQnJArahZoA7BMYAbjNYXuXpcG1Ws11LVcLtqKq5mue58+7B+8yEaSh0eB+82B/zyVp2p0OEq7BGyz33ts/wIznkJ7v5q4ocsS2cdUjzjkXRYGtrS0sPh+H5NgGK4vf9fBHTpv7Gw9HaNEuTdn5sPSBDtczlVYobCdNVUHQZ/IhUFkXiz76NCvQGTOx15CYsGHYaDRBYcv2eCxfzksMjV1iWW6hkNCuzh/huV2qstz54HEgAVseyy9nSe72lL4UeJF+7uvpFGcIpkmpP+1aDQPOZ1PMaUtqELjL5+710ZCXsED3sOATV5WCYrm4Vmqh86W1S94cmKAqt85JKV2zn0PNMA7J19tTHZYTLV0UQvyQEOJdIcT7Qoi/+CHf+TEhxFtCiDeFEP/LSV7PUpaylKUsZSlLWcpSlrKUpSxlKUtZylJ+98qJIbqEYWH72wB+AMBdAF8SQnxaa/3WwneuAvgvAPwerXVfCLHx2zuLhR4uEBPqYp6RPY4sDR4+fd/klb+vFkMRZbTCLFGWzUAub2wMEnxANEWhJUYsc9gIfBREFgjC91baIaKeiejeH8yj9DMlUKyQHHNgIrp5CXQYyTwVB7jCrMKvj6bQllSVcOXTtQYKlv/tzqZYOXMJALB/7X2k2yZr5H/btwMAzj7zEUSElaIA8IYhAX9m4zRww5Q5Xn7aIKjefvkV9HjvGIyAV79qhwdPrBH9QnTEbDJz45sXBQTHUgjPEYpWZYkaETYls6plVTl47GyWOPjrYHCAZtOUkr3//vsAgIP9A5y/YDKlWZ67GO1kPESTJJ8nLr+t0kWb9Q/wszsmsv1sI0RBlNbairnmyX7ftUnvTWa41TKZpaoCZoE50enQQ27bERNVtdqNnT5t9Qs0+PmZWgPXN5hd2DL5xjQvETNmHQoFTXhq7vnunmzmxS8KJJKZybqPKGEmu1AQPMd4ZnSvgEZAFMcpPc9SXVUCHjMVIUteyyTB9q3bAIDLq6sISRpfdNq4zGwr3jXnarWbLiNabzTQJ6S11+s5hOBoOEJItJjVoSzPcXBgEV8rLttUFoUrTUxYwjKdzhAw47X14L4rj9TaEGvOZkRwnIh8CJrLNtFY/M4i2lRE+Myuua7v7tTQYXl0bHXpYICYqBw9nmLWMc/vIFHQhD+sRx4EM067NGSrGx34HTOWO5PKtYBfi2LsbxCRsmPOmwOo8dJCreARmp15gUP21EObBYUj+U5rviO39JRGxXvKiEzwPB9jZgXjpELLtjy+vYUt2h6bNUomE8TMeO/84i9hgxnEWq+HJ21bZVteWORYXTGIvx//8R9HyExhHIUoWKIghXAEmlaUqpATBRkEPjZPG5LgB/fuOpSOLaOdjIZfq/H5ycpDifSjV7KQlbRi22MLD/9q1+jAn48yzNpmbHorZjxH/QG8jM9xmmLMLKOngH3C08NQouCYS6Jeuq0IQWuuTzYTuRbXsMOsd5eoisz3kdMASlXBd8hSD0OWTb9DdN5Ltdihrda6DYxYChsLwKPOjUger6MAuxa9My3wGDPgzULA5xjtUsdqUqBkpjMF0OX1VqGPP0B9+Su2rPBDSJD9IMSMZP1lUSKlnSlZ7nkYdVAt/HsxW2x9FOXswsHBPhossc6KElqdJBG9Pf8iKuJriNZzX0qE+Lldk52/1PPQpy6trRh/42DQRzc1x0vTxBHv+vBw4BFl4EsUtPvWlrQaASL6WPtT5a5pNarhgCjTPaIqGgJo2nK4qsI+9UZ4AdZIeL7DEvan6w1cYxOfsQ/ELKUNIeALW8JmbEiqFDRREZfDGJ1VQxtxZpoCXG98XnfUbmGHdkz22lj5wPhV/SjAJdIP2NLuRanVmwuoFY2U2fLFx1a6EhS1gN2R81dSHGnBjsPHOGSY9EJFw8M/eVSiF1CIT1x9HF/88svzc/K6rD1dX9/AnTvGZy0rgV/wjP/yp1YCJDVz7xe6xvccT4YI2CAiy3JkFp1caZSE4q0KidKi3Ti/jV6EuGNsxfZUwWJ5e3GMA+pkcmDXOo2atMjDCgEbp1QyRMn11ALoakojIRIhjX3U6afpSmOH5fR7bAoVrW+4tSy7edv5r5cfv4z2xUvmuFfM3/EvfAYtktHj/n1gSJREp4Enqf+KZNNCzCkbtBBQRD14UjofSesFJJcVrV1ZtV5sdHFs0xx1GPEljllfTkSOLHTfiG2S1AkZ4+fpg/+J1RCjyNyr1aXpdIzImC5M8wwF9SCvNBL64OtSoqQu2NuvN0LUu9SlSYWSNqIZRDhgJ4vx1K4bQJ2XXFQFpAWtRDX0OR8JfamPxyES20iqFqClzfU0ajF2uZ60eO16MEBGpFnPDyBIp/Cp7ioi2wSCf8fjCQLeQw44ZP9MCDzLuxqOBgAM2maO/LMF6CBK05ZYz5XD6t3B3j7G1FGlFFJCsoT03Jz1B+a5jqIIddplT0rXbKzIC9RYgTBi9c+jlcVKLhzWJSGPVFjY9+kzwcdn6Av/6GqIQUz6j67xMYfTEfyJrXjJUTZIu6KBnLq0GXjQ9LEzjuH5lTpq9MF3p3M6g1YQY8jnvBqaNaGqMEcHokJguw0ID5FtUgCLvtdIWGGRhRLNytInaCh+d2apRsrKLQlntY8a//G9rR5W6ad/QBxgVJaulDCBgM/rnQrgI9QlpazeaCzuZ3zuNcuihPbsMzpHyc8R83phKoRbg9VxyPNvpJLha8hJIro+CeB9rfUHWuscwD8D8CNHvvPnAPxtrXUfALTWRwprl7KUpSxlKUtZylKWspSlLGUpS1nKUpaylG9MTpKj6yyAOwv/vgvgU0e+8wQACCG+AAOR+b9rrX/u6IGEEH8ewJ9/+BS2Rlss1N4KHCKhB8g1YeSvf8+LeOKm4e4ZTFN4q+QMYCYwjiIkMHWlo9UaiqaJSNak73hsxkrDiyybF0l3JTAjvGH/5oEjm681Y1xii+Jd1qhGqUbCDExflygE248HnssghYy25+ubKMgfU+UV6qfndazf/iP/HgCg973fa3704nPzoXn5TWz//C+a67l927V0XSP31wsf+xje+qpBUpRZBv/pJwEAv/DO6/g/vm/Gx7YXNQSFzCQB0FQbDWDQNxnPs+fOu8B5s9MFAGRpghFJoE1NuMmwmvpbvfAaaLfbjvhwNp3OM57QOEvup0clD+uTxkPZ0K8VNRah+/wvffIJXCYB/WCWwu+ZTEW6NwBgsj9pZvRp1o2hyBnRkB4qZpamFSCpLx4VQEggI8/R5P4QM0bXK1VijYid8abJFE53xwB5BQ5K5cgNpZaGOwbAlNw3Xl459E9eadRsdD0QiBLWevP4YpK5Fu3QCpqZo6Beh2B2pkH+uK7n49Y7hkupfWoTq0QFvjyd4C9+6WU7cABMpqcgz1u/33fcN0or7O+ZbHkYhgiJ4rAty/3Ax4QcINsPHuDi5UsAgFFeLBBIEynQaiHjuNeiBvrU03a7jWajgUH/0cT4H9Il/dCLh1FdwDxVLDzYcfnvv+cFxLdMxvuNyQTnm0RF3DfPYxiG2GPL7KARILP8WaWGrtnsnod2k2T0HONX7+/imZ5BLB18cIB6bNAYiQ/ULQFmK+ZvFGbkmhl7gCZyz4eAYhY7p82LlYCynEp5hakl+Y0CdMmTMSLqptNdx2kS9FbvXsftT/8bc95GDXWStDY7xja14hj3UvP859euA+Qa/K3dLfyFlw2HSZ9cEz/+Uz8FYXkSogiDvkG/lnkK6bJIwvG5TSZDvgPYOdq6f89la6Mocsgd6XRqMZt0svKQPgme+zi9cp9jAXkTA9I8N//lJ89jfXsAABhMcwQrZo6LHfNeqxZjWJhnRLVCgMjiQAqU1L2x1oiIrLRcIFJrpOTo6988QMznNJcadY7sDpGgG76PPRLoDXXuOBlaIsB5QV45ojiHSYqLJJe+m2UIYTOSJToWyUiulfrmGVxiRn/y3nXcJiJr1fNROc4Sjo1SqFmei0rBY1Z8cHoDf/YNAszFgi+xIBWvXVXzzzT/t/h1rY9kjXnt0vOgLIHg4tzRFxDSQ2l5N1SFR6lnx65zkAAsqsM7/IOHEqaRG5e//B1X0aPeDGcp0DXz9GDHoHEbUYRdNrHR9cDpUqQFxuyJ7kHApw8laUOE0kiYhT64te+Qx5XUYI8CTMh3Wk0y7JLZXAE4S7TArKjwvG90O2+aYwWVxoxIwpaW4JKI0gdCovAtuixLc6yvmCYgUgskJH/2W01M7hqUTo0k6uP3ryNkA45N4aF56jQA4H2V4j+59gHHb3FtIUp1Ojr8/iIKy6opUarikLmZVysYwmhx+PeHRC8q5HFf+B3Jw2udhoZw9uGLX/qiow5rNOrokRezR47N11+/5mzqX/zUU2geGFs8miZYoz5t7Rp9qoURhpKI3EYI3+mTWV8AoNACPv2mOtcpCSChrdi/tY+Y+lR4QEi7ENPGlHmFzM6PFiCgFQEA8ooj474iKRUyMeefsXwyyvcQzMyX3/21zwMAnvie34uzRAirc+fQIYpr9cwpXHvF+NxdcgJ2m01ce8vYoMuf/DYgM7bg/nob/8G//iV7MjPc0AiIdM6zBMI1NxALiC2NhziKhVhAcokF3VlAYji0J47XrUesTw/bJg/fGOclL07GsPbrv/y2ywj3jV84mSXots3zuUsfPA4jjH1ylAYBPOqMLpSrGkg0IIhGDt11aGT0YyYPBs5H0EIjtL4B9bKapBjTT51AoE2btS0UTnFt2GGVT1oo5LTBvhSYce2aFBnWacfG5D6VSYGNZhcA0H2ijYQctmI6xanHHwMAvPva6+a7SkGHFvmoENMneNOv8LeErY4w92B4j+eoUatjUkioRR4rzrvljGq3Ws5311qjRVs4m07nTaVoBEQuEfqW4D9w1Ra+7yGKYjwqedhnwmF91Tiyrlsbav/WAY7PX/vuJyC5ph1MpgjJwb29b2xVM46QhLTTUYiA8x+XQEgfvFAakr65s+0SSKhLg7t9h7xTgUDMS62IWp0VJVLOQSoFGp71ZyQk17ScujatFAo5f4bdXQce6uTjyi1SMSvQJcLKVxoz/q7RaWPMZnVNHsBbIIdf18Jxv73iK/xXB7YahjZFq0Mxl0pZfzxGXlh08wL3n/PLSgj6cEEYuKYmerHpxbEgrt++Lfp3TUbvA7gK4HsBnAPwOSHEc1rrweKXtNZ/D8DfAwAhhJ7Dso/xFnBEwfnJd7CU6qODBJolPc3QR5tdFTMuIOMkQ0yFExt1VAwgDKaZ62hQU0Aas/PCpnG26r06Kmv0pARR0Hg2FfgKexOd7rG8ajQDOTfR1QGIXMW6V+F9KvJ+bhQv+OA66jRYK+dO4/7LXzK/e/IqWufMYjpmwKr14nMAIbzVO++htKWNqsI+IfirdNi++sufRcwyx5uTHfQuXQIAfPzcOfyRiRn+/+GDgZ0A6GMdqznx5WQydgbQkjxHcYRNEnWORiMUNHRRXHNBDPu3v7+PHZbi1ep12MmTnvfIyegf0qeHnpuvDY0UAJ5dN47xk+MZ9NRcXyfy0CRpsqI+HRQ5miTT9VciePS4J6MU8YTelCdRMSC1esosHI1eHSq23TYUIjpyzxc+PqA+dUi2W5QFNMkxA61gvfooBSpu8CM60aNBiU45L+lpsqzQCzwMZ9zUWTJ6T6ClWHomhRuVeq2GkS2hYGez2nPP4kXq09u3bmD1e74bAPCxIsefZ9ODv/omdToMEHDeV9fWMKBujoZDeDSuZVk4sky7EVRKufLYyXiM+/dMyUBvZRU1liAJXvtkMkGNpbme57l1zw+CR7iV/BDbZD5Y/Nb8rzhscoWQ+OQZs1l6ZjDFdepSI/TgE+reIFHkoCgQMsBedGM0GZzqH0zQZRnerKwg2Pzi7LqxTWfXeoipS0p6yLlonZoo3GGHxYjdcYaNwgUYtKpcKbXIFcKeOd4Zkl8OBwnqJI2fZSVWWLoDqTEjpJ/9C7BzsIden/M5HLmNgp8VsHykNQY89OY6As7tdVXh3AVj5564dwd/nETQ/+8bZlN5/do78Bxxs4BnS1QhXXA/imLMpmZx9j1bOly4zmdhFENzkZ1Nxm4dtg5bGMcIQxOUGY8OcJLysG06Sgw8L3s7vKG2gYMUnzxvOlBdnSTYZwl8L/QQksgdtM87WYoexzxcqUExOJWOU0japsqXSLlGrqyaDWtjtQGQbF5Lz8HzNxPgBsnd63UzXnezEaKQQVRULsQyTQuUDfO+IHPrYFpBjdk9NfIR0TblRQWwO29sScfv3UVDmt+rqoLkpO2XBQrbjIF/cyGwwUV2yxNIOHyr0wR/4pwZq79x/T08LBL22dVaMdpl1q8sW+ygyGHluPq+j4LlAiaRszB39jc8llbC0RyY+Majs04P2yaBOYWDvfaF0qQjQT7fk3iB69zjoxl2qT+dUCJOuM7Rnm0jc+TIaEdQXIOmsww6YVlVAGhu5FfWGOTs1iCt3ySka4SxkQM32UExJMnvrCgRc0MioeHbhj9VgZs0PSvSfPfm7ghtboSHOnObMOkJKGqhLSUspUCN1xWkmSsWrEcRppznkMT3fq+Ls1znbrz7Djap0FHo4cfOGzv1199iRz2NhQTsYvnYQnmYADza93licSHSpbV73vUiRcex6ww+xDY8GnlYn8Cui9z4Ljwvnu+7TbDH52JtfQXneFnnx1NsU59aoYfAloDZ5iWqwCrts9eNkXHDnE8SeIklVJZQ7EJ3btPYpuZaE4KdppWQKBgYXUk17jKhXGfZVD8rULNlzFXpSn2yvEDUMXp0hr8fjlLU6K6VPpxt8gMJMFA7Y6n8nTu3kb5n1qdqdw/t7/g2AMB0MELIYFmHSZ2B9PARlqndfu1VdJm8Xx338WfOGb/gr06NPpng1uIGcK4LczVQCz7Goo4c59M+/MwfsgmLhPAAji91/LeTh3VJHf3C4aCtC0rYS9F4ccPM+enRFPdJt9H0BSKuVyXt6lRW2LDdQFshcpYCluMEFf2XUEiUfH2GPjhqAVRkqWvgGhecKiXuMRIa0Y+dhiUkPw8B59OUqsA96qPg3u4AHlaZYNxWJda5BseeQL5jipoOmNBNpwnODsxz8sR3fSc+IJ3M/SzDARPLNdtQRgAx9XXLE+iwPPyyEvgUy8ffyiyAQLlEoFJzG6MOld3jIf0YTQ539Mz5bymE26fNm2colIXR55XaCup14z+OxxOXhH4U8rDPdDQ6onHovSPJAM9T+OhmFwBw6mCI2wRZ9CIPHv3CxHZ7FhVWWGIuGgFyG0ifpQ5UUBfSNTc5xYYb65stCLvOwZSOAsBKrrDlsVyQwb8kKlBj3EEp5YLxsipRI13JJvdEyShDVNj11UPIAFvlSZSkpbGdtWcecJaNejyhcIXnKxSQtNiVnWW2s/EYqxyydzyNFkfvnJb44Y65p3+4a3VBYLGBj+1QrpRASN0uqmoef+f1aAi3txPyiB16yC4dWRMXu8h+AzbpJEsX7wFYhOKc43uLchfAp7XWhdb6BoD3YAJfS1nKUpaylKUsZSlLWcpSlrKUpSxlKUtZym9LThLR9SUAV4UQl2ECXH8cwJ888p1/CeBPAPiHQog1mFLGD76hoy+G8YTA8bBXG1kWeH3PRMjbwkfAUqkkEpgQrmrjkd1K4oCEbCrJ0bIohUaEiuVaQSGQ2x8wSn99J8X6honYznxgZWQyDHcDDwGJ7ie8ZrHaQp3hzXGaYIUZoeaZGk7dNhH9oGsirHemGaZEE/gP7qGomQipt7qOG698GQDw+A/+fvBgAEu/qtkUI5J8J0LgLLON99+9Zr5baYyImpg16ihIsDq7fQf/dM8gLwIS/KoimcNRhTjUCtiSYCazmQu42vfWNzccWeFkPEaTWdEwjtElnN22sp1Op4iZBVeVcu/XG815+/WTkm+4Mslck4bEBwMzRt3Ih88Idx4KJJ6FAJsxaGrfkQV6aYlWg2Vl9QhgBiDWEsrqEyPcH+xMsbpmEIBjX+Mss5jbnsDUsxlEkjx3O1BEbvieQmBJtlciJAMTdQ+p573VFtKJ+W6sKsxCc71epRHw9WxqSz6ErYjkPfF5WumiRp32Jyb7sffue9i/excAsPbYZWQsIXv/i1/C33zTNEWYEq3UarewR30bDQaImGFdWVtzpYlBFGLKlu4TnqO30kXODO7a+rojPYyi0LU1H7HlbW9lZQGrINDrdQEARVEiz4eoTpT0+Wh52cOlLDbHoJXCW7vm2hMBXO2ZTO++rBAzmxgTHbFZStxl1jhICvSaJkO2Uq9hRrRUXUj0bCttZnoGM+BBaeZ8VpNokFS67wnMbEt7IvTqGysIiGKYlLkj3Z1G0qFtLNm9aoRILTI1EJhSWUI9R02kJBRvZAo55iTNdkTKPEdFvQpYPu4DGLF8sFOv4/rLr5r7SFL8EmHRlYVYe75DAeZ57tCIkJ6DU1dV6ZAVNpMGGEJ6wLS79ogeaDRbCG1p8HAAAGg2WxgMqFerG+izOQj0SeqQlaPZeA9w47iYqbREuj7e3DfPjVIS3RZteACk1KOAh2tCYqqI6Jt56HLNyWsRqoz2RAGezS4y23f7IMeqT5RNTaK3Z+at7wOZLQfjd1sbq/CoT8M8Q0zbFG3UkB+YOfb4HJ89tYItljPVoTClTaz7MTzbAIU2r+kHkJzLUghnm3KlnCdgW21X0NgStMFCwidqKJce/gnRpofLfR5GhwdBiIIlJlmWHlNKqt0zpLVGwExmVaqF7xwpmYBZK8dj8/zrR4iYeFjEwv+PqwdYPLElRdd415YpRJ5DJle+wIBKVKf+NSGRU5eCRKJOtGkRBUBJu19pKIug4Tw+GJY4RcJf0Qrhkwh4GEhUtE1jopVr3TYE7X838h3CJl6v4YClSyHLsodCYSipa56PGW81gDQoHAAzlpJ0K42IaHMouPLa6PxZlDfNdTa4RjUunMetN94w15tmSGPz/qxew8/eNuvfIun8nBBeL7y/4K/qecmi9S+EEEeQfcf8bkGsr1SpyqE0pJQuW35yIli+yH8t8DzPZjPcvHkLAHDu3CUABkn1/pZZ98vIQ2yRV4HEmDuROkv661og4zMfz3I0WY5f1ELYblGhFg5xPGG1xf5BhjXapqQmEHCtG/gCBec1Ly2qcBU6t2tdiiAz547XYmj6SNY2VahjNjbH8qAxo/5HEKhRf7uPPw4A+PgP/SBw5wEA4O2dPRScH+178Il0LdhApTWZobhgUKXn7m0hoU2T7Tr+/mfeNNfLfYf0PFdOZKqx7PO74F9o958j8mFVCseVCFlU4BFkj5D40NKO35EIotAWbKUQR8rP7PtEZmkf17h+ZJEHWOqG0MOI1XuWHL6pBCYV0fGpdIicNI6Qc20KlIBvj8H1YWtUoBcYXSoaPhpc54YeUAXeoe/WOy2Iwja3KF1jAx14iDinHonLZ7mApm3KS+AB16ZI+zjdMWtwwrLLrh/j7MWL5hye75Cpq1nurt3qgaeBlGu1L+bIpX1d4N11U1kTHWyb4yez+VhDHULkfKMS+IFDLiutEbGqIrMNWiCcbdrjvtRcr8SAhPYnJ4vr3BFbanWYulQpgbepS5OwgiIqSkUeCluBSP2LFTDjOtcoJFYsYikOkcHqEiBoHwr6BPf6Gdo8X1KTTpdGvkBOG5Y6u9SDoJ8/LDLUqEtBO0ZO5GKNddZC1DGlXy61wgH3nUGlEUTcz41IDQKJyCL3fB8H9HlWAh8e76N+MAAAXPID/IYtrxUCBPCir0v8DBsCHV6WFtDqYl6VYyWMaq45lD4mVPOhqCyHvrMnwiFTph/6zvFyYoEurXUphPg/APh5mBX8H2it3xRC/BUAX9Zaf5qf/T4hxFswiL7/TGu9/w2f5BAE8RgDzAEP/BD/6LnLAIDGvQHa3MjcjXxMa3QuOAmjUEPRGS/THOtUsmy9DlXQyHYkzj1h+GYOUqMMPYS4szUAAFzqtKA9owz30wJTHq8qzMP0zNo6bF/BXreLO/dMieGpQuGJNbMA7toNpMrRZbnWaDhEZ9MsiqP7d/H0p74DAPBb//P/DAB4bjiEzxKNwZdfcR3xvOkM/aFxBNcs50AYoPe44fSqewF23jKL6jvb93Fv2wTAVMZWJViAMGu4jaWUApKGrMiLeW03FfzunTsocgtr1zjF8lEASFjylpKXS6kKq+tmTPd3dtBieYDWaoEr5wTlw3z+Q/Buc6++H+FvfMSAFb2dIdZZ878TACnLKUo6r6UASpZFiAxoMPjgr9VdiY2IPVx8ctMcY2p+15EhPrg/AAA81mmh1TLHeH8wQclFSefG6J3rdh3nW641BjMz1zKt0A0ImyYvRTJK0LKGVUr4Fr6sFUJuhOuc06wscZ1Q549FTdjK7OkHNyFZSlAwaDy5fRshy1xaRYXBLcMr9/J4jAcDE7y1jv5oMHKlPyoIXPfEPE0wYXCrt7rqNo5rPG5RFG7hLIoCni1nyAsM+masbElAmiSuLBYwnRbtNQwHg28M7/ooZNFxPGaTGYQN/I/PmCB0tTuE4gLpSx9Ty+nAgMqoKuHTadpPUjQNlQxa600UdICiRoCzzxhdGtI2aRlijzX4p2s1qJ7Rsa1JiplVfDppvTCEpiO4GtcwJCdEVAAVy3EHfBzbnnIdHGdSu25mSmtEDKwqQrhrT1xBn8HhK+MU4xk3DQposBzxFKHteVli5ZSxXbJWxzb5uj6YTcDtKH7f7/sBAMCbb7zhgpuD/oHjZ6qK3I1xWVXwWLqwqD+WtyRNZvACqyvCBcDiuglgCyldOdNkMkWdXfJm0xngOs+ctNiN8YKXIDzMeSrN9fthG3/1CbOGVLsDdLmZHPlwQYYpbZMPhZCdMlO/QHOfCY5eDHCcvMjDMy8Y/RxyHWt7MW7vmef0VK0GrJjxuj+27JYAaJt6QeDs1Xqjhf3U6FM1TFCnc5VxPZ4OEzT4TCtPoMWSJ6+qEDNwdpelEkFUg+IzfTGrcIuBua4fICV0PrYl2ABSvn4pbmLwxCUAwOvDAXYSWrXFDnXi4efVOG2LAbCj3ppwpbKVBqoq5Tf1AnPGw3B7IQW0I/JQMGvMCdomMb+Ow+UAC2VxdMiDIMZ/86xZ59TBGE3q0tgTruSrYDCiqiqEXNsmUYkNJvqCbozSlgtHEutPGFuesXRnVQROl1q+D7BD9d44dfQP1p+IfB+K+pHBQ8oS/r2DBCHXsS3OgRJA1z7rQrkAQVEp+NS3bmG5CCUesHT7e9dOY59Jk+Fb7yJi4Ew/ZvzH/Xffw8zyU5YKu1z772UJ3rl/ixd8zPwJMS/pUcr5FGEUuw2ALWH1fB85uRgVNBxpwNFyLgAQCyWPep5k5EcnLPZ65qVK9tarSkFzo3TnjgkAViXwV543m/Zyf4QOA6epNvMFALZdXVEp1EqrTwq1CSkS2hFKaxdCiYvPmHUiZ9Cy7cf4gLyEq1EEcK3bn6SY2Q1ubo7VDSNX3rYRd3FQGNuUTzM0qbMJk0YySdFi0CuX8znxpId1ciW16Qvdfv11bJ439/n093wP3vyXP2PuYzzG6hWjR5Of+CkzJlmGA9JSPL55Br1nngAA3JpOcH/EEliuR0oLx10rFoMTh9aEf0tfedG0fVjHQ70YtH/EIgDoeemree84v4mbfk/iLz1Hv2l/hBWWwRcarguw9qw9Vggs3x8qhGPzbIXtCKpgkDgSOH/ZdFvdYzfg03ED1x6YAM1KFEKvmve3RzMUtgSM638z9FHSNrVFgFlp1lKdV85m1cgpeCYS8Fj6fVsoeJwzKYADcmZafslpnuE1dt2UX/oyBtw3rXa7mDBYFNrghRBu/W1UwBaDaTtC4rXrhgfO8iAbP8cOtDxkTxYtx7wM8eF5L8rC7QUrpVyAy3F1lSUK1wFUusPGcYz8EZYuHhYbkP2QmADg1jfrO/mej//kcbNvmE5TZPRpY89DjXuinMFIVBqSC9NMK9SYvI/bMcqM4ZSGxPkrZi+bcfyacQO3dgcAgJU4grdmBv/BeOZiAZrBWIHYlXBvRBEOmHBNZxkiWzbJ9cpPEnQYdJ0qwOM9KQEoz+7neJ9Koc/y0ufCOkratirL0GKAa53raCU9PE87+9U0xQ51aVcI7BVTN9SHxhwwNoL2SMjAUSfnRT73g461UfrY/NvhlOOH2Z6vb5NOlKNLa/2vAfzrI+/9VwuvNYD/lP9fylKWspSlLGUpS1nKUpaylKUsZSlLWcpS/q3l3zUZ/b+lMMK/CBE/lAkgmbxHmHCR4VkSp9XqEW4xozNtNU0WCkDEWpiqJpGSzDH0gCSw0ccKFaPhotFCQuLujFlu5RUoCanudBoYTUwmaSXwsKtNBuFxknOKWuDI6vwowil2rhvtjaCZKW4ykrxSGUgqAHRaXbRJQL+6eQrxhslARLYMUEhEH/+o+XxvD5uMyL7/+c9j/65B2Kw9/zwAoHz/fQREfNVnGW4MTPbo75YA2PlDFhZtNY+Ob546hSnRGL1Odw5JDU0ZETDvVJUmM2ycMiiuZqPuShDDKMaIUep2p815qWNG8vG40YSdzzCYo3Kms8NEiI9MvmZAWGNeUmDGs6xKPD40Y1Ovx7jFDnAibjjCSjBbjKaHnL+vSVPeCAASFSqimop6AzPbIYPorxk0Cpst6DYhBuZ8Z4IQN7T5XdeW7sUB9vld4fsISf5cC5WLiEtmnmbTHB7LRgJoUy4D00mtYubJpnqkLxAxszDRFSzJaVCvIeFzM2Up5mOf+m6U1IXt197AmUtGTz+93wc8zmFp7mE66kOKebkZHPJCk9AWONjvo8MOoTsk6IzjCE3bobFS6B/0zfgVBWISz1tU4XQ6daixIAjh23uDRhTHmE4tPu2k5EhJAEA4PlEdzBgXRYInR2buskaMW5YIs9dy2bSU3TA7tRClSYLjgi9RWmi+J1EjkjCrh6jYVYw/QxQBckrkUSOCHLH8MwgwlSSYtqTktRAZdbD0pCNh3uqP4DFTajuzDCcFAiLBfK2hieKSABR1s940c79++jSwzszVV9+EtpD/U5tIRmYuZufYuGJvDyURDbX7W9h80dis//rWXTwgAufP/IemCv6rX3nVdW5ttNrzssLFrLSWrvOdfSL8IEQcW5SfmpcxZikUs1pFZpG4GdbYXa1/cIAis1lXoLLZQT2HaT96maMmXAmJe98iulhulifYYLly3KjhHqHuQSt2ZRaCtskLBHKW3fhCIeNjGssKOYmbVRRgTNuUWNiFl6NkVlxGPvTI6Naa72FK+H6Ha09ci5CwrKiSPmpEyeVJiqktJ2TWt5zkjhC6GdcgiRYqK4U+n+s6n/MsS3G/b9aT1WYbYUn7pioUljh2IXFYo862ywo3uH79/Zv3Fko2FspQXWZxAa0CsfCdxQzmQvmHKyGa+yPiELkzSWOF595SVeVKt4s8N1zsJwKa0Jh3RjoOmaZh3UGf639RVrg4nHejvkby8KARQdmyUOs/QTo0s4bChGXXdV8js6W2QQ0z2qE+G6JIWUES3SA8ATU0r9u+hym77rWI1um1apjy90EQwKctlX7hOsHaViNFViKlvodSQAXmta8FENln1uiX5yvU2sYPWX/pecx+/bfM+7UYCRE/yeums1nj1CbWWQa/P3wbBf20f75foN60fhhJ9KMQB/vGHnmeh9J2oBLCoZGLPEOzZc4d1wziY5dNhACCWlyH3g9Ldc8VxiIshPRQHle58yjlkB4BEN4hwFmN9nXKroTQEqtD8+xFcYQbpCSox5HrFJ3bRgBCIKXvLVWFSUR6j0A7X6kR1jCaWdvC563KUJHYXgQSckyksu87fWqz6qFWC5Bn9pnw0IiNbcrSBDMiGHz6TXvTDCER5pEnERLdGAjhEMVBzcz/yuo6Imsfzp9GnUielbNncf2dd8xrlivu3r2HjTWD/ohPbeDWlil5/GuvX3M2XQhrN8QC2ME7sv/50JIEyofh+47O4WE0z3FInkcv3MvphcYdXngY4cH1W9CXLJVCj7YpjGO8T4qUdhi6e8ipE7VKIw8tVUSFEXWp5StXHivgY5pZKgPzu91iioq2qRBAneTe61GELcV1zlIexAES0jR40kON6PckzTAmIjWnn9OoQrQ4ritxE4II68Tz5h2O+0R0CoHqjtm7TYIItlfhQb/vkGt2nSug4dF311o4Womf86KFde7IfAOAkK70H3D9QADoY+c/pG9XltWhygi7Nif0j7TWsJ1BtfCc/1ivxcjzDCcj1KVF2PSh52O+DtpmRGVZok5/pl2LMSB10VaSYjMg9YPtyKqAKrSl4iUmbA7VEgqlLUEVHhL60FP6TFoUULSDyvdcs5+e72OH60WLc9SKfZS5RUVJ9GrGLg3TxHWBVRzj0SRFwCqPEID2zT17EpC8TtuorPQEEqK7im4TJXU72FhHlhi7c5NjU5PC8YPEWqPg8P2LWY65n7OAJD2mHlHrElXldqA42qnafGdRDx9GmrvPFxF6h0zZN4Zb/ibUhC1lKUtZylKWspSlLGUpS1nKUpaylKUsZSknL9+iiC6NwzG64zMaFq3ViWPc5uvL0kNIgsFR4AFEVskOuYwqBdEguqECQOTWtJIuQupphT7fv91nzfPdfVx80iCkhnf2kbVMFicrEvS0Od+U5wqLAiVJnmM1ceifZiDR1ebcXcVa26gAmBm7+PFPIN82kdfte/exfsmQX770Z/6MuQYF4IsvAwD8Z58FXnnV3NP+AWJmP/tvGWLwrNvGjATLQil82/MGCfarn/5ZqJRoFzXP8tj62t2dbVy8YjgJBgcHjsPC8Ckxw8qocZZl2N81REJheNbxJ/m+f6gFrRGNFtE6w+EQGWuJZ5MJ6mwtf2KySAFw3IeWE4vR7m7cwDaj6GdDHw0iqIaBh4pZoRbbUyutEXbMnNYqACR6n9UrR4obQmOfCMCb5MkRD/p44XnDXZRvDTFum3OM0xl6njk2KQhwe38Mych5NwBqzDJUaYKAGemcKK6w6QNDcj6UCj7RZqUCMGCLZmYjbwwn2OiaLCXyCh6JVMOqck/fKpscvPGZz6DRNJnpXqOBM8yE/MpwBAuKFGxuYMic55lUG8gPgjk5KKSHhITkdepYq9N1maCiKJ0OCcwJhG0GoF6vo8Y69rKsMCNSKggCdLtdDAcHOBmxteYLGaSjvCqY82504iYeMHPihQIttvzNA4lyYmxMmw0xlFIIu+Z1XQFybD5/kKbYpG1aiTzMmEW6sWOe787OGBtXDPrz5vX7CFfN81TzKqxWZmxDXu+sLBFYwvckRUm9WQk87BKxGhGN0Gh4KPvkoisVJLlGFAQUdalD3q3Hf+RHMblriL/33rkGXLkEAPDLEh3y+G185GkAwPTaNZTkFCwvX8JjT38EAPDeW2/jyinD8RORt7DVaiHNLbeBQN8NsVjIMmlom2EnD4KCjyInz1BRok3bFAYBMrYZt4jAJM0REm2qqsrxDpoW3bTTJ574tpktBUhCr4SEWwf5PLXrHRyQP6TrCzS51qWRh3JK5Jttd14q+G1jmxpaQvDzpObB40PbCIRDBm4RVVrd2sPmY0afplt9KNqmrMrQrcgVpi3HSIGAr/Nk3s5dKgWPKI4a9X/ckGhPicg86KPNJh+BlCjIXThm5j5ICrQ4JK1Jgvt8ngIN1InIS5ndnvoSvycya0s7jHCV2dvP9wcLdsj8MaTzD6PzgsCHIkSm0jikW3OxXEkfpgxzmyDsmgINSSS01tlDCJ1HKgsINXc9i80M+JHlTGxFEXZ5S23f8EYCwDT0oOw6R+QWCoWqaV43hQdF/2jWVKjFRsciX2KHvIG3yMuV3T/Acx8xa8hsewjVMufIixwtZdGG5sKGWYHQNjuYJSg4H+uejzFRgZKZ9G7Nh6LiqlKhIqDBi2oI+B2L4u+3ulh7zPg0967fcOTAFYAa9dVbMTo+ffAAPsnOV1ptlLGxby/PtkEwhkOEDAcDN9JVVUHYNUop19gBAuitGpu2v0DY7OQIX9JDnDmLpN1ika9r0f6dkFiOUXdNlUNkQwSuiYwgcqIZhRhwzmqxQMcjcrDmQVEv2p6dc42AuhBLiYrNeGZaoUad86VGyWPvcr3Jb93BmcfNeI63hxAdniNL0SEsw/LGjIvS2aYimSKjf66qOal/xffqDQk5ImIjiN09t9Y38NyLnzT3Rz81ePwJgAhp3L2Lyz/w/QCAg/eu4XzH+FO1DcOjOZ4lmLExz+27D7DxsRcAAP/q2nsPITCDIHA8blmeQ1cLzQZcMw1xDNfNh6EevgaPEY7yMp3cAielh2ajgcl4OD+bKp3eQKsFH8rcZ6vWwAGf32ZDoifMM1nGHjTRMF36KVIAod3TCYmMyJpZzXOoqJovsUt7scM9XfFggLULXfO6P8Osbc4hVIlNxfMR9T3KCghLUZynyO2+UmsIrnMex/NGkeCTvrEbifDw5Lcb/dm68QEqNpJZpU24Dw9RxxxLZBXSLVPdUNOmsQYATLj2JaHnmr1IAKQUw6+M+khZDWMJ4/M8c6h6QM+5/YT9NRCEwUNroZQSeWH1Trhp8T3PPVfznhsC2rZ50xoV52uflRgnKovr6CE1nyMhbeOiVhS69XjH06hbPtemh9v0FS5x7kMpoMnxqAWgOc9JpRBY3l1PoM8hyqlru+9sYfOiqdya7A/gW7tUZGhrO0bmz6ionC6pPEXGpmVSKUjqq23EEzZ9CKKgRaUg6LcJBUj6a20+B3v9qWviFA3GaNA3r4rC8Stv0hZt+xIrtiIEAh3a7c8PBwu2xo51Nb94Ma8yEEI4bkxVzSfBjvuHWh49R5oL+u3C8xb4Jxc37F/bhln5Fg10AYdgc6IG0Pn4g4+fwuMkJgy4QfzR2330OPgDpXHT7MfREvNjJAmh71o5ZLvvScQNlq2VQMTjDQuNYGSUqEtYYP3CGiSh/b4AhuzaIhsB6rDdDbhhTXOcD4ySjSTQpp5PZIAx4bZE2sNTwHBslC/yBPZJxltKiYCb993f+E0AwPrjVzF6/zoAoN3rASS+XH3hOQx+8TMAgHFsNnSXX3oJdRqc9hNP4U/+t/8NB2IKVBZWaq47pjMHAGVROCLBTq/nHrxmo4k3CO+3hM+e57vuU+Px2HUzq9d6ePqppwAAb79tAm8aGmMSkQ/7+2iQ8Hl1fQMH+8c4gI9SjkV6m3v49suXsUE4aI3z/++PM6zwAUy0xl2z50YH2qllnnIeoRAyAOB5AlGTjlwJ1BtWn4CApYen6WCdefIcalxQMt/DPp1GFXtokXwwo3MYKYUWId0hIdMAMMoDR2Qec04agUbeYhBumkPZjjBCIKIjnlCnu406OiOzwc88CW9M0ngAkiWNd982UPyi3UC9Zwz5kxun8X/+WUPAOh0PoCyhMzcNZmznmz5tN8J5gcARyGu0GHzwOCbj8cgZvulkXsaqtXYk9tbRX1npYTIx1+773rwjTJogSZJ544RHLc4ps44ZYM3sDz1xERcYkAob5nq+vT9Dj/eXKIUDxnQ7pUaL73uV1RmNkp2hCl+g2zP60/AEIkssCQGfpWuXuYGOTvUQcaPQ9n1kNlBTD0BEPzwG1nVaoMNA6jSKEVfGju0n0gVzbPCkVCVmJBQup/NOdFICLZZrYNUERAY3bmD6k0Ynkq1teL4p6am6HZQ88Gs/bT4XmyuoWbj/vXv4Tz/7WQDA+UsXce2t1wAA/91/+5cBmLJqZctBhZl3ABgN+o6AvsizhUAUN7FVBSFsV8YC/QMT+OyurKBiWcLGJkn9+/soGGBdJFEVwvsmlXbMrxteE4jMc/G9F9rYZAegkMGE78py1Ol9JlmJnTo3A7mAUPY5NH8jBdj611ICNZaZ+qVGq8ugdCUBdvVp04munV1BlNkyDYktdqzzQh+R1SdLUpvmqFOf/HoNHh2mUV4iYxBV0BmOPA/T2FxPJ6hhpm15m0Bs9VvPf3+1bsbh5nDoqrtyOe/0pHkNVxs1BKHRx1le4D9jeZAuZy74YMtYAe12wotOflWVC46WXlgzjpv/hUSc9B4OimnlAq/SD5Bl7Eb0zVIlJwq2icEPPXEJF7iu+HUz1p8YpIjYxUuXCts1zr+S0JbqgTUNcSWgaUNKT6PJRA8UcHXdOFw3xwVCOu1n6Rc0r5xCbIOfnsQwMc9ZMw5c586QgdsyzZ3tKZp1lCxdGhXa+SF2wxL6Ghm7Z+msgOKapqopGk2jN5qlgivaw8Z9041s691riFnGqKScrzdcX9TGCsrbRn+KU5v4x1xjlC4xYvLE6klcq7nOh1IIFzwRfuACJXma4u6tmwCAgGu3kNIlQg6LcBv+es04HWmWQTEwCT3XXSx0vzq5GIU4FCsVUrqN7fddPId1PpQh9en5LEfM503mFYZc62qVhKA+lbRHfqnBmDl0BIQN84/JrMCaTfplGjN2BbUdOFfPdBFZfZISOyzdjgIPoG8dltSnJHd+U1qvIySB+H4pIUrrF9E+BBKKCQKpK3hy7mf1VroAgAFL08L79xHaQe+uQb1rks9N34e3xqAmOzgOZhOc45xNUeI//4Ipm63KDE3SQpTUhbKsXBJ5fW0Nu7ts8qPUkb2ePvTnMMH4ojKID3m98N6hTe03Vib02xWlKtKWzDewAhpgU5EfunIZl7i+SXadPz+aIbDdgPMSfeuDCw8Fn7+M3ewblbaHQhFo+AyUllmFVfovWQlIJlHs2tZZb6FJ5S6kxAETX43Qnz9nHBJZKbRIY1C0IhT01w+SCn7lHhAAQD2U2OOe4PLVx/Ee901xo44O53y/MIk+HPRxtm72QqOtbbdhV1I62pGEdqUvFJrUj5FW+Ltcv8qqguaeLlN2L+K5tVRKgYi2J83mzXWKYh5IvXDBJN1v376DRbH+T6UUpjO7b3wYdLIoUgosxNhOQI5EegXcOvd7L53HGZYlK/rij5clBNcPr9TYDpgQrARCjueAiZ1hXqLDjvNB7KHGY5RFiS7Xm6ICFOMDIZM1nVMdRLasVEoMCeSoh3MfUtoEc5ajTbtU1GOAe7RBWUJSlwIboA0EFG0jkgKa3xWehE8dtUkgeBIvchw8KeDRbxtrBcmyW0E/a+IBe0wg74gKf48TplFh3iRiLjYoLT0PIdf2JE2PzbW4brFCHu7WuJi8sV3EhU0OzTtZHw6+LksXl7KUpSxlKUtZylKWspSlLGUpS1nKUpby/0fyLYrospF/i5rIIJnlvhBEePEjhujxcsuE+SdxhNprtwEAGytt6MT8bhxo147Vt+SoDR8eI7NynCInKiIogJQkfKJZw4Dvh7sGFRWv1rBzz2T0LukQo1WSJuYlRGThhETXCA8DIgS2ihI9RktbgY+A0VKblc4Shbgy5/rgi1/CjKiZSxcvYtg3qIj1ywZ2jyeeQPujHzOvf/KnkDLT1wWwyuvdJiJh6/O/jjNsi3z7lz+DT26aTNNP3L0Dn0TCjsC5mrfnDsIQAQnipRDIGBWeTmeujGcecdWQwqblNPpsYbq/v4/TZ80chUTa3L9/Dz2WyZ27eNmVNOZZ7r4zI+n7N0NEbK7lkvTw0ecMEfVjPZNZmdzcQfy2KcM6v9Z27WbHWqOwiXyWo8qmD58kvXKaoWDGOaiAWWj1KYZgKdbmfQPfDusFdu8OAACnCg/oEhZbCiTUERu9jyCRc658EcHjc9Gsh0jZujzg3OgEAPUiVdplrD1duYxlNZmXbA175rk6NU5cFsuPAnhEL844/4HQeOJSFwBw7auv4XGiFOPAw/rZiwCAAyII+/2DI5mceQbG6lAcx44scjgy45Bn+UKpq/m+EeWyAcnEZFXvTcaQvrmfRqOBgM/u8OAAZVmhKo/LmD8CcaUkC/dUN8/sFT/CC8+a8uazXZPO3ru+hexdgybYWGki5u1NAwnFDHRhG1c0PAMXBYCiREVIfJgJ9H2WObbrGDPzUd039iHuRPhga2DOW3o4IAG5yCpo6mZhn/VSoC+YmQtiRyDaacQ4oM0ily+8ykfEVKlWcJD2wPeQMhN2mc0vzjz9NHZ/P5uA/MN/ApsrrDbWcL5tdOz9N94wb3ZaiKkHw1qET502ZL3/8o03cYrNLVJmV999+w3UCMGOa3VHTA+9WGI4r3ywdL6NVhtjkgivrm24Ukjf89zvNjbMeWtxjBsfvD8/EHVNa30IQHEiovXhDJrO4LXNtV7yfbz0tNGniyvGNm3f2EbyjkGcdLqxK0Mda9fcGQVtU1TzEVnC0ryAZIbcKzTs4xF16pgwYyxHBinoNQI82DVjd67w4a3QLpQVlG+h6pyHChixPXoY1125YiMOkdM2CULrAwFcof5/MBvjim0WEIdIJdF3zDKi1cJrTTPv3UHfEe0rpR3CpU106FolAK5Jux7wfbTj/2z7jitd6Xa7Zvx2drDCspHZZIwZESHS8+b3BCwAJL7OxC/aq2O+q8rSKach7z1BWJeuYBr1LNimpkFcnhY+Ll+mnVo3z+PBvX3o94xtqndquMDsdL8S7v4TovKiyEfEsgm/KFEwa94sBQa0X3ErwoDD4Y+NLvntEDvbxmafUwHiDZI4ZyUS2r+Yz1hSaoyJOPBDD4r6KnMgLuZIVwCAEmjY8lkNhxjyAg8jNiP62Hd9NwDgXlpAsKGPfv8DjNl0KG42kLNpjgjNODWTDGBGfxwFeL5n0F8/sbOFOYLA/E3T1K1nnue516Z0fz4tHtepjA04HJnyccIMuF13TTt3LJx3fg1iYXk8EbHHX6ChEDUzThekj2ef2wAAnFmlbbqzi+Q9Q7S/1qnhIhGAfSkQ0g5ltiSnFsCrESGR5ijpv7YgUNCm+c0Igs+43hsAALx2iLvbBg1zUQUIekT6lRWUb8/BsrIKGHKtC2o+JH2EjgYqImWtvUozwGfDkTTNcf6KoQ25+sLzuE+E6IWnTIm9vHDRIZmLn/w0ghdfNOd9+RX0b3wAAMi5Pj5+8byrwijbDVwZEjGjMkwmrBZhSWRZJCgtibfGvLxSKRxSmKNNAjTglEDIBTukHyqNPSz64WOdkBiE/eI6pyFqxg6fFR6uPGbW4tMrZizu391Ddt3Yplonxhnq0rTSsJVgBXUpiENo7unSSQrF57ANiTLisxpKwCLgM1JmdEJs7xhduqACTFds2ViFUtrqB9o/LTAjqXjUDBHTt29XCj7vy66vaV46FP90awsJ90Vxq4WxYrUMkX+QMe5wCjYAlJy7XBUIqMch9XqlmjcHGQmNZwLzw08Pp5iT0dv9pY+qyt1bFnkKVblGSYto9du3b2MuizohHvruotgKkzzPEFDna7U6RuOTbga1KBoiMmvbWS3x0vNm79lrGTt+/94+kuvGLjWaETaUpT7QrsrF3t9GqwZBXVJJ4dB0jUpDNzkW9RA59+8hm2/IVoB7W0avLpQ+snWip5VGQR9kzPmMlcCYkYmw1jQIQpiSP8VKB98S4ucVBBsqzJSCZ9GDUkIQ+YoDcw2B0ninbo71qXKOjvezDDe4nrRJsxSqAFtskjAUwEfYEe9fLpYRL8icfiZEQt9cCuH8MjsPvDj+c2Gd02JhPZGARTQvlG87hKE+ape+PqpriehaylKWspSlLGUpS1nKUpaylKUsZSlLWcrvCvkWRnTN6zgBQE0HAIDnNx+Dt2cimMU+eY3evY/KklxmJfbJtRRoDxGjgSHrclWhoA7M79JODYJE4s37M2iSfOexwApbquNsFwBQViVWSaZ+zU+hPdbVzyqIqYlkppH5zalmAwXbt1ezzLW7/iDLEDNjt8qpOR9E2PPMd9+4fg29jjlfJCWe/cHfDwAYbZvMRrvXA94wnEk4dw7xLZMdyvpDiEvnAQBX2dZ4O00RbRg0wP/66Z/GzzMzCxmgKtgelmObFzlqbIGepRl22P46imJEbCm7ff+emwsXt5USPXLmNFtt3GFWoCxzvPbqq+b+GfHtdruQnKP93R00Gga1UGs0HSn0ycph7gKdmkzOt52/gnVy0+ABOThu7qBkpg9ZiX6XLYG1B/t2xycirVDI2Sq46tTgtcx3gwdTeMwMN1YaaJDUW58y2fSqKqGJzLm2ohAz2zgdFQgIQ/SIxunEAWZEPHhliorccxM9f0ImqTl+rAFNYs6uL7FHbjCVw6QtAVy8ZOrx967dwRpb0NbCEFc++hIAYLR/gK3MPCObFw2R8NVnnsH2LTO/PzXs41dt5j0IkCS23fAir96xw46SWTilFRJm1l299tfi1XIR/jnExn5fL7RJbne7gPTmdeKPWo5wQQESamaQbB+7cBURedVSoj+Lm3uYMNnWyQtk5EaSpXDWuQESXpbKtSVW3RhFj5wuD2aIGybTeSAU1gbG/iUkUO5XJTLe77vdChX5GvoHOa7yuZ5QZ862m5jQ3hwcHCBjZmWt3sCqJcUn+jVUGnnDcoMpCCI3qkJB2pbyM/KkCaD41V8353j6Sex+cAMAsPrYFTy4fQsAsM9raPkCnSsGBbgT1/Fp2rGyqiCJbrJorHqjiZTZqNl0hpj2qN5sOx63qpoju3zyEJlGB+ZYw/4BNtjwoLOyAp8P8QPaNENOb9HDc4X1PHkkY3UCIiTm6x0A2UA1JiLl+VWEtNujewa9N76xg5rlLikqTEjoHCgPmlnADvWpKjXyMdFWnRrQIsJ0a+bWJFH30Oub74h1kupUFepsmvBBK0PA8ZqNcxBYiJLImnYzxoxcaJhNnW1KPAFJ7qWUnDphpXHTtsduxRhyaMMsR7hiMvrnI7Mu5JMcl7bMPd+CQMJ59SDwOLmX3mXG+r0yx4Rz/U9UiZ/f77uxtbwPKW2NBJBMR/xYos4GHLPZbIHzaBFBYe3NEdskHnoxf33oLbHw0uoYTkjmHDhGPChyYr1wqokmEQ3Frrn/2Z19KGab/bxEagl54UETbdsm8kXnFYoR1+leDUGdz9lughYz0kE7RPuBeSbVmtGlSlWIiMoZ1IHHaGNu7EwQUjf3iIhfbdYwJbeJ6ueOo2cmNBIiSyPL9xZ4SHirpfChrH9TakQNg8K6/47hBy28GP7LXwUAdGs1zJhZr0YTVBeNv9S/a2xBlEwQ895fv3AOP/nyV8z4xLFrVmNRo+1OB8OhsVNKKYc8tdxW9nXBLL3VBSnFAh8cv09xfC6uCcaRObVkRFKeOBf9QgqefyV0auz9Ry9cRkREXUI08eTuPnzOWaUUalzrTmG+Hpc5kWqFQjkz4yKaEeo1LpJ7CTxyLBV1H52J0Qdrm7Su0OEzezdIEVm+mHGBgONcWV7ZVoSU9kimM5R8nfrScRcW5OaJtWnSAQDx6Q3k5Ix6cOce6HqhefcuAGAtjDD55z9t3rt0CSBSOY5iqE1jx95/601z3lEf6Jvn7ZdDD78ytWuVxMqaQaHMuIZCa1dZUVXlER/maxiNo00ojvudPu6zRd0S+Lro1d+JOGW13FcSmojfl851Ueczl9E2jR8cOL6yWakQsBoh9nzYp6xBBJ4uKhRjcq7VQrSJaqn2EqcLKpRokWOqvWGbXyms0EffDjJIXluaKrfO2aoKRAHGPF82GDqktFcLHBLYVg2drkXYoU/S7tZQ9w3yUXo+EiITRdN8vt5bg/eK4fAKIDDz7HrjYY/XntEnysS8Edhn8xS/SWT66to69rbt/sz8Js9z91ppDWn5o4R0NsaowlHE1hH9WGiEceh9GDtmuQYFtOPPTU98P3fEJooIujS69MnLXUTk30vZrGlwf77O6bKET/vheT4avL8OfRhVVCiJiEfso0de02o/QUD+uKoe4BQb+/jrxl9RWmGFx90OMhd3SJIKPu2HI7OvhcitXZrNUHJ+VSAdGrHiNcRCIuFaW3iha4JQyzVyEunX6cvVagIvEO7YFEBGv60MfFy0Dd8sYtT38DRt5/80G+Pz9BOMD3TEDgiJFqsylNauYRiUcpU0RVEdgwRbRGMtIJMxt3PaNVdZQH8J4arOynLu238t+RYNdAGHldmHEOZWXh2m+LFN45AdcKG9sNKFd2AM5AcND7WEixcqTH1bHkRDGHjQvu3q4kHzu9lqDQWDWzrw4a8aBS65CdDjBDtTTnCokcRmApo1H9r6MbzcaVagYiBgw/cwo0Ga5hpPrxiFKbgZKZVAQFh+rR6iTuLLbPsevvrPftx8h+Vl6vU38Kn/5183J6mA5G/+XXMsrTHmQjKmkVlfXcP+538NAPBCo46/9vY18ztVuKBWRQNd5LkrR1SqQs5rF0IgsRB66TujZjvgCSEwnZIwf3cPIdsS5VmBPjs+2mDEysqqM5pRFLsuaNvbO6508WRl0RGIAOrTbw0S/BjJVBU3d2dXuii5IN2PBUKnTwoFJ3nG9/zIh2IAL4CAYGeXohujGLB5QSOAv26W53LfzE81niGnk1VUJfqRGf9a4EGS9NLq/ygvEAgbIAIKbrqkCODbDhisIK1yhYqGfhwIRPbamhGykZnLXXbeGIQCO+wC8/F2D2+9ZjYDjW4baxfYbXHLLKCdbhd7dOpfatXxl26YUi/P83DARSbg+D3sMM0XUcHNQjKdOSPm0ajphS4vAnIh8HU8MNV+XuQ5Ugbb4jjGZNiH0uWxv/mdizXeC+UBfPmb+1P8yGkTDB9Qp8+t96C44BaBj4CBMKW1G6fKllXXpSu/gJYAv6tXakjZeUV3fGQdo0u9ifl8dzSFtPufRGMaclMYC2zxuZ7yWReeB/bfQFCVDjZ9ezDBKT6/tltopVh6BcCvBa6zJyIPFYmi7aL3wVdexfof/yMAgLt/6+/CY0Bq/OABIjoARdtcdyOqYe+BKQd58okn8Avvmg3p6koXD+7f542Yazi1uYkZy2h3drZc+U+aTLG4IAvYsmpbsqoRcoMdBAEmI7M+vPjiS+itmLKT175q9P39t984rnEmAA2f81EVJ6lPgAukRG333pcmGn8gMPfTZ4Dg7FoHk50BACCVEn5Kh8ifO+Uln380fFc2KLUAaG9Er4ZkRIh8o0SwSlJkrnWTUYIRA+cRJMZ8lnQAFwwqWNIxmGUIbGM+AeTWNiGEZ4lxrcMlNEqOY+UL7LGBwloYIWZTjEHOzo9JjrdZYte5m2Cy0AFuwE3EHTqnV4REi3P9CSXw12ck+tUVajUT9LC26cLqKkbUhf7Bwbyz66F93jHO3lFx2R6BhyMO8tD+cf65YGnRSUUojlyzrLtzvTop8IfrJNztmufwzEobA+pSFUoXyA6gXYlMwTVfRR6EnOtSaG+hG2N7z8xZKxKI19iN+sA8s8ksx4zlFjIp8bIyCYASGjFL1xR1Yn+WosEAalAp191QaR+xdWUZeJ4JDW1LG6XvNlleLUbIYQhYXjYeT/F6aa7niTRzNrb0JFTf3P+UJNGR8BCfMQnCx7MEb4xM0FSPKqcrNvhdlCXWNmxDiwMk7NwqhIBH+oeyyOfzzetSal4eEtXqyGzCZ8HZn+8ZNA7Nq/Tmr63DeaKx+IW1TjZYGgt8cVzi99NnmfbMJupsr43t/YH5buQjsw0C8gIV7ULFYzXjAKG7F8m20IDXiTEb0J+IfcQb9MMPjG0azLJ5qSw8jGgLTOXW4U6Ko1mOkOVdpVehsEFERPCV7aph/hSYNxmYjA4Qx9zAdnqoDU3wdsIgbEtp1H/QdFrs/9wvoUjtHmGE+++9BwDYYjn3WR1h84pJLP7h9XX8T5/+tLleAeRcy2z5V5qkzgZlWXZkMTomcXeoRHH+8uFg1vE/dxcCGB09Gid/lCJ8AALC0nKIBqxf95vjHH+AgcUZS/TPdabYPrB+k4SkfvhpDs0yqwP6koHnua7kDem5xhRxt4ZkyHWu5iFmc59sYOYmzXOw/xJC6aFv/Vghnc3SPFYiSiirw55wuh1KiRp1yTb+qYREi7apHPddUylRa2Cd4AObYLw33MeYicmXECzEIwVCTs0DUlHEeYUZbckLtRD/XzbH8LLZwpwf/QtEYYSAvl0ynbnOfKa3xdEk82EFsIG1w4F52uVKufejKHa0EmVVzgP1j5xBxAZ1Dyd0wITMF/opfphByBn32qcPpnhQGl2qAg+h1Y+8QMny+V0mEJqB7zpK133f+VJxt4ZixL1d7MNnd3SMzXmTPMOQwalQCAx5PQKAx+CT9U0z5M6Ml7KE5t6u5tUg2GBB8LpKwDUliOIAGc+h6j7ArosFHbBJCHyB8/5DufH1AeC00vDpG77FwF0717hD3/2lKMDf3rUN4RapGMwf35dIafuqqkRV2vjA/Fk7tpmF1hCwYAQ5P7ZWC6btGESE1igtPdI3CFhYli4uZSlLWcpSlrKUpSxlKUtZylKWspSlLOV3hXwLI7qAeXSxQDcyWaNPrDQhWXpokQ3akwgY+RtrIJwx++5rZMwaVjlLGLMSlY025yWiHROpLFt1+ES8VEOF/DRjhPdMRi+qtGujPEtzTG1YvC1R4/FqjF7HGkiYNdTQWGuabGG6P3UEqyDy5/o4Q8DwZhlIjHdMS+Fzz38c2QODbihmJgr73N/5f82HxgNqP/j7zHnfegvrv/iLAIA+YfnrtRj4yDMAgE/fv4v2uoHPjrZuO/ijFT8IUORzFJfi9UynM/gWEeR7jjTbkgH7fuBQYZunT2E8NJnyuBZjMmZW3ZJDN5rY5b1prbC3t8vXAE4MffMhojN0mLH7xGoTVZ+lrL05IarP654q7ZAQpQBywmGYbIaXlVAx5zSvEB6YcazqMRps6epnBYrTzD7foT5lJVTHzGuYAWCWSjQ8pLZleU6kXyCRU29835SW2PMVnB+PLZOrsoJnCW2ldNU454MGtrqMkhPGe37zDLwVk5EW97bhtc0z1t7YQLhiYPXnUrZRvnkTYyKw/uHOriNKhVbQmCOrjhls2Hi7lNK1+S2KEj6RlTERP5Px1GUpNSosZghs2WvI7EUYRZgRTZiliftmRiRPli9moB6hCG9OoAgAUOjVaZvWmgBRfGXXXG/d9xyp/FgCmrokoSCsPbGE72kJNDhWlUKxY8azaNUA2qZyoDBcMWO0sWfOdZAmSGnn4lwhZ9ZUhtId22cmSBQag3KeXWcFNtYgoDnGgvpTpqVDShRSQDO7F4xzoGZ0d+/ddwEAL/yp/wizt8zrOMkcQsKfzNA8Z9CBKGwb9QIXv+s7AQB/7ctfmZcg5glabYPAsaVmcRyjQVLyZzefx86OKePe391GwYxUp7uCEdGGVqeKokCe22dCoVIGbfFLv/BzeOqZZwEA77zxOq/nePsTRrUP0elHJQKHiDsBINlFb82M1yc6ARTLVEvOTc3zELAEbV8KB3HXeYmQOpDYKsi0dASxXllBjc195s0YJcsjZZojNksDvDsDAIBflo6QVSeVa+gSRB4yi/CzqJnSoCEAIPS1Q2morEAhLIm9vcYK0qJ6gwBdZqrTQiIJaOtY0j7aH7sSznYYYmLRaqrCHtefZ1h2spOmeDMxOvQv/ABaWxSDdISsVp8m46ErtRaYl9YfTkbqBdTVcSVmev6+WkTczOE4rjxksRTW9+F5Ell2Uo0yfF6X1akSvYZBSHxstYGCGeCM2f2mFliBtU0SKX0aUeTQTZI7U/39soIg0lNmJYqB0QOvU0PAksbdWYIms+hyy6z/oVJQRBsHicIBxyMIPRRsWRHSXkXKgVgRCoEafbo4q5BQlwLOlywUMovG0XDk0V0vRkGUz/Z7BsUuLlxCi+WuvUsXkV03hOGVVtCwKHP6iarEcDAAAPzyqbPwQmPHRv3thfIelhIlKS5cumzGstXGvds3zadao6rsHH9YSRl4jJm7BrEAVCiJmBSLby4iGQ41RDlp4XWrGTptU+r50kqM3KJ6iaZc9QJERHzlfoAB76GZFZhyXWtQ30qlkFg0SClQEbHsdesAn/thkqJzivbkgbHvQlUQLOXRWYWcdsMPPCiudRY1VCslKo65L+fo9irNUZK829om5BWs2VBSYG/XrDMvPfMiolWDwtnr03e7+iTwpkEhpzduQnGdKQSwcs6MT+PmDQDA6aeewD5LHj+9N3SVKVoXSFk5YcucBBZLyBbGHXP097Fl0Yu/Efz+Q8fAw+8dLUcTx6FTH4VYFI6CdvZ2hg6b+LywUseY65wmEjLUEmfZpGsifUxKuz4WCFaMjo0z815DVZC2LDgrIWmb0l4NAX3w/M4IUwPwRLXD8mqtoOtEr6eVW8eqQM/9cdrEqAIIUEY9njeeqPICKrD0AUT0lAqeq27JsU+02fetncIwMBUU4dRcQxs+EuqBF/quQZOuKofkCbj2+QDG1O2fSxS0K1M8iv7DIVuT5bkru65U5VDZwGIJ9fG2RC2WXbvS/oVzWNSP5yG0ZcTJDGV1QmucXXu1XrieAu3I2OlnezUM+2yqwyYgkZA4TaTUTHiw4QGR5fDaXOcsJ3pZokayfj+voAfm/rfqPpqT/x97fxps25alhWHfnKvd/T7t7dvXZ/+yr6ysNquTBFWFQAJMYBssYQd2hG0sLCukIIRLwmCgAiSEbCBQiaYEEk1RQFVlVVaRmWTfviZff++7/T339Ltf/Zz+Mb8599rnnvsyUb2TikzvEZH5zl177bXWnnOsMccc4xvfMF9sZhmKU0S2s9GKUgqCNk7klUOwqkBCkMZIcbBalYRVZxUKhJzzMs/dvsoisHRRORtWCuH2EvFhAp/+T0hdDKcZSpbt7rdb6HG/7hUFcg7VRjlv2BGTDuKz4xQO2ooCc/ug3Tja6ojJJIeg7RTQTs2UFg/rYB2NrAtXRfXwOfZPfczx7wBdj+/xQJftGAevgQ4d4OBwgpWnzEagd9OUVZWtBqqUnbmyzNXoZs0A2payEGKofQ+VtnxGHpKYHQZ9iYg1uO31LsZbZlHLWbefBB6iNbOhnW4fok9c6TQvMLWd7ahY5zyBji3HEgJ3CG1+6uy64wzZ2TYLd28lRmxLKZXCVmqu22i3ceUP/xHz7AxoAQA+ZXhwcO82cNYsquXNW9i/fMkcZzDp1/+nf4T00EBbn5ce1vg7ylYLk7G5d8TyqmazicPMQBeF9BYWW1teFsUNd9y3wYY4hn0pZpMpWm0zR54n0WzZv819h4NDRLGFaCfoswOjUgpjBsVUjWvn7ZUji7dsoM1nkYMJzj5j+M2mt0xgUbQbQGb0yU8zFySo2j4q6lM+tR3oJCo6b00fyAlD96MAfc51e62L8dYAAJC0WK7RCxGtmnvsbx2gxdZTeVEip8dlg4i+77lY4FR7qLjLXG01MLG194fGUagaEjmh1E1PYEgjOCgKZBl5ATYMj8Tlj3wUh3/PlMemnkTMTezs8BBDzsmQXak6p88gG5hjrwURlLIBmwoPA0ePOlrcnAhRq8lWkNywl0XuvmcdFo260yegXSdJcqPlhXsGz/NdQDbLc4jaRvPtFw3rtJmbN9Fg9zg1mGDzCTq6d01pnm42EfaM3QimieOSER0fCcc7sxxGvofUwp9RYWo7VAqBkAtcf2MFw+0BAOAVOmNqLUZj3bxvO/cOELD8J6tKZG7TT2epTNGmXq6GMSbcbJ5e7WBsgwksZy0bEjm9u1Jq5FxNOkKge9p0Kp3cN7/zud/6HXT+rtGl/NQGTj9hulZl588B7MDT3zQdFbvPvBNvbJmNxPUsR7/f5SOWGA6M3Y1pm6bTGdrsrltVFQa0aXmeIbZd+zDf3Bw375WaB03zPMPLL5qSRb2w8TwSrIAJjliugJOVmkMQdtHgIxQHI5x/2timzm2z1ul2A35mxqM1S1BwrRNNDyU3KbbM0vN9G6NHWAJT2u1O4KMXm/v117qY7sznGwBU1ETzNLuG3tlDkzUZeaWQ2HJbvntdT8zLE7SE9swzdBuxS5iUIwZ/Y4nCdsrzSsyY7GmPCtxjeVDIwFze7uBd1MMZBPo8PoF2ZbhjOp4rng+ftuQbsxzA3MmeUPfa5KiYJZnrbBfFMdJ03uWsPh8u+HAs2WBNxDHBSq1qfFzz71VlgUp5J2ebXGcz2piwgSa7jarDKc6/w/hN3RtGl4pWA4p+UyPL4du1JPJcmXLFXUEQ+sj4M2MlUfH97EQxpr6x3/2VPsacs4obSBmFWCWPyd4bW+hZzjRVYcZpmjIg0q0lcWZCwLc8cI3Q2f3u1Px3FAiXsCsiYELOwBkyrG2Y5M3OGybQlcsQz14zPIBDAQi+J1IKSD6P9UeaSYoR+RA/c+sehoe7HFvt5rRNHtVGo+k2m/u7O1hZN+vqztZ9hLEZ1yLPHgqQmdzPnA/O54ZMVSWELRVywXdd27TWAh4nzam0ICxBDttocs2pDid4/N2XAQDbb5qxnfghOkxKTKYJ2jaGFEi0yddn/abKl5iEdlMnULHUvSUDpKGZy8c3VzG1axE3kVUQYIX0AAf39tDmupiryq11ttxWC4GQO8pUSYiAOhQ3MLUlNUwgFdG822MWaExZ0vrq88/jYz//+8z3rrL7+d4O7v7l/woAcP7f/mkolkLLJx/H7a98DQBwiWMWyQDv/NBHAQD/cO8Qkt1Km4021uiHpantbP4WXcffqoTHRMjm/xALH9T+tmJ9MLl4+LugTgHtRlF5aJA2oTic4NKTxm+a3DH8wKrdRM7y+TLNAceb5LlSQDmljQo85GQ/aUofiryVLS/AmLzJK70epgyAKBuQCAOskvvt/p0dVyoooFHY4AJf00JqBNThaVIB5Og93W4h5cBtcvrSeJ5gyUKBBjv7Pv/1b+DUeVPGunb1CQDAG7/6L/DR2DxDqjU8S+chBAoGBVdt80SlMWY84lazDbW3xVG1PulRmdsNn8GbUlZzv7ussBg4Ry0IBkihoR7ixj1yK/5d1904jlyg/mRELGYFvNh1wSyHEzz1jBnjAde5rN1ERtqhKi3g2ZLqpkTJdc6CY7zAR8JOnS0/AHpGsc41Qoxh9Ee0m5iw02HBdQ5hgBVyvx3e23NB9QKV0yWbgPalcrQOVQ5ktEtrzdjxTla7RmdU7M39KF+4PUNHCChydM2oJxOl8O9nNoKWYMS4wqYnEdMOWkqXl9IZ7lOXPp/lgD6OV82CEgpnGoIgcGWFGnNQzAL3g9MPCW05JcWcisYEyr5DY6OrBZ18lCxLF5eylKUsZSlLWcpSlrKUpSxlKUtZylKW8n0h35uILiEAXUGTxM2PIvzyh03E//wH343bLP86e9Nke8bFPg4vrQMAgsMcB1dNLYaoSpR7zDDy0kHkwbMdEUKBliUmrRRSRnrLW7sQhLJP2XGvETYQPjAR3VMiwJZipiCKkJA4rslynjypsMcMY7cZIiLk/3Y2xfs75jmrzT4AYOdwCNkyz7PSaiGvzPN6zQZAwnZ0bJ8RAO94xvx3PAHOGFSF32ph46+aDJP/gz8AAIhW+/jz/9AgLN58cIDTayYLlmWJu5RkGVmSzBCSrFcp5QiDIYAuuy0YgkFz/gYJWHe2d9DumCj2ZDJ26C8NgSmhuXABX4E2yweqskSD5WpZln2nfHNvgzCTEzTw//mwQZe8/0c/jO17JiNX3HgZALBX7sK7an5jeThGzr+hFdJtnmvLKuLQlafMUKErbalsiZQQz+z2LmJ2xsipT14co7hl9NhXChkzRH7kweZyQ8JQ87yEPRjFGjFRJoku0WOGbNgzWfNiOoVmtjhTAu0eEXV3BrjwxJPme9SbwWvXXFmSbDVRMZtcDEeONFYTbaPXV/CP7prM7Yv37roRVcdllYVcyDY7wmcpHfG6F0Torxjo+ng0L3m1pIeNuOG62WRZ6mDIpbKk/PPrq6pEZqHSQpxwYtKWLbEsK4rxSx8zSIknP/I+bN0xaMnytvlNB+U+ggvmnVcHBeRFg5/XqsL4gTk3Z0bGj300eJfKE1ih/qR55c7Zvb3nIMdln+WKvRZGDwiJ10DKLFUQSGiS8frsbCYLwFe2rKqEZ4nnfY1VohwJmsBwMnHlSoHnIzTThUZnHY+/78MAgM99+rPmvq++AWtZ2s++F6xWgnj9dbzODoz7RJK2Oi18rmsQFF+/exfvePppAMALLzzn5tyTxh5JKTAlKmdna8vZI4MMNA8a+D7OXbwMANhjx9iFbOURjSgtMX8dKVFLU9rj+lGJ0rdNrC55LmMvpcTf/JAZ6Pd8/IPY2zZ29O7njW0aFPvoXjHr2+RwjB5tU1WVmBCZlXE9CpsBQr4nuaqwSrRMPssx4/Fi6xBdZh/LNjvadRo4oB77FaAsSXngQTBzXgYWgapcibWIMG9IIpXr8jfpGK1OZjNU1N1A+lDUJzUtHPr1VTZueWacQPD7O0XmEvqRnBO9J1yPUij8KstDrh0cYqE0h7/TldIL4ZDipnToePvlpn2hlKdeIuTVPj9yDa2h9bxhy/w7gmiyE7JQLvNJ2xRK/PUPGnvzno99APvbJgu9c9eUGM/KAeRVgypJ7szQuLTBx68wpN9U8GeGzQCeJWGvSmxKM1/ZJHXlFHvbA4ewKVmW2uw2MXtg7htFEcrcIsQk2kQQFtQlXWn0MyJtQoHAliELhRUiEixqJxvNoAjB8PwArTWueWMgow4drpv35HKpXGnjuCpdw4S2DJBS70qWQR8kE/zjqbE9tw/3a5gI7cquxkQ5B0GAbdJL5HmO6cx2EQbyhc5jR1ETYuHvyqG31LzLW11vrA5K7wi783fLcbJoAOAXP2rszUd/8EM43DHz+q17pgQ8LyqEjxnfohzP0Llo9KktNHYPjB3LiAgLG57rBFeVJbrU2XyWoaAOPdgdYcWWxlCf2t0mtu8a2yS1cGThnicRhbZMkXpTaVSkdGg1PATsqp6JCj2Wm007Zq71NIUmgtCHj86GOb5/uI+XP/0ZAMCpd78PADD+1U9C084VWYb7JAXv/KtPQ9iSU/6GqNXAP+Sc/sZXv+LKqrM8Q4tdOmcWDfPIJj5H/z6uZPEYmM3C146iLXAECWbPefttk+976PdXcbC/7+hPvDjGf/1R4zc9+9H3Y4f+y62vGBRmUhyie9no2ngrQZc+VAWF6Z7RpZzrXNAM4REtU1UFOpX1fytUtF9b2wOsEfUzI2JntdfEDkusPS0hiHoXUsLnORUpQ4pSuXUwDqTr5jgpc6wRxXiXJN3eLHfIKyBAzu1bcyYwvX4TAPDiV78JAHg8V5hxyDNVOd/fEwLCInUssb0v8C+JBLpf5PACo6NVMcPDtmDx37aUMAgCXL1yFQAwGI1cR2vbPVaryqFUVQ3FqrU+RjVqlQ0LSPhkXo11IrKIUvQDD3+1pkuTffObvvHA+EyTYh+bl4wuTe8dYOXyJq+isE27VNgmKK0AdJlRlQWa/B1ZUjnaoWKUOORtRj1Z68TYu2/GUFT2/4DAk/B4wcDStpTaNfNpxp7rHJtBodswDtaEtEzlJIWmzxTLAP4pzkc2haR+3J2YdecH+uu4zev2qgoX6D9VGpBcNzKi+s902vjvuNe6Pt7HW60l/X7fNY+7d+8e1EI5vp3nGvLYUrsID5A2BCUcMf1i45+HfbUF+gXgOyqnXiK6lrKUpSxlKUtZylKWspSlLGUpS1nKUpbyfSHfm4guG9ljNPCnzmzghiUeHBY4eMMgSr5yvg8AeOfOEKemJjp5413n0L4/AACsFCWGjiib6JB2CMGMfrvhQ5GYNpQhcrbelKHnoqUNso6XswlOkUztLgpkFvTU0lAkQklIOhcLD5oIimFWOgSO0jmuT8yz9RJmokKJJrMRM60QMEP1+te+gI0/8589PDYjk/nAxz8KvGAyafidf4UhxyxuMEP1uRdxjlxkq60YMxI+KzUnkLNRfimka5ktxJwwXCvtkFm9Xh85I8CH5MmpqhLJzGSjgiBAg3wgw8GglqWci+V70lpj677JhDabLZwi38/du7cf/r1vp0gzvx/b6OM66/vfl/u4/dotAMDrREesbe3iNInOi3dfQnXf/N5WUSJjpN4SkGYN32Xx+lETVWbGyEMIsWKQDEHsQxCSEDArVCYTWPYfEXhIeTxH6Vq2dqlDlZaQzDjkyZykElHpyF0nzCYrAAl5Z6IocMS8oh9jymd78NJL5lrnLmCF/EdaaQRrfXO/0RjddYMEsK3WO90WniCHHVRZIyGswV6OI0etidAKAbMTnh+41sX2a8ksQUDSwzRJ0KAui1r7+IWsOO+rzQ+wd/mOarr/Z4u29zC24GNrK3iTunRhqrFzyyCKXj5n4CqnDwbYzM24D548hYikug2toJj1S7L5byv4Tq63WygnRLeVAQq23xZSOkJvn0SpxWDq0BbaEw5NoqR0rdZD278AwqG8sqyC7bKeywKR5aCwyAQpIIkO03KO7BmnA9y/Rv4bvv8vH+7jGXL0Db/xHE7/1CcAAM1+H0+ukv+GyKzLj1/Ge/jsH37fu+BTD8IoxojZ8T02QfCDEAEJofMsJS+g4RK0BJpnz53D3p7hGIwb5tyyKl1WUWsgzy12cS71rFLADH9R5I5LwA9C9MjHs7P74KHvv32iASLYfni1iTtsif7O3MOrLxk03J0LJgsZ7+5DEAEQPXUWCbkevSxHlxx8U65HWTjXlc1ehIo8FVERotc14yRLBdJqwbfrwjRx61DpSRS8hhQC2mbkpV2jBRTNQpZW8Ph+q0ChLSynCbF+QsAjukHJCpLjXKw2MJmYZ7MNBp7XGTZ9ct8pNW9XrtQ8n2u5LzwPp4TJpusqxWLGlwhSZjeDwHMk0O5dRu104Ij9Og4pobHYkEIs/lcIiDqKx9ojVedbOkEhIfgPr3dwl0RY79Uxbrxi7P7d88Y2dXcG6IyNLjXecQ4l/SaVZ9gkP86YtikPJRR/c7sTYUa/aUM0sWNJ6jsBJIelTZRgpygwIUL8fKuBAe3bWBdIuG4GlrtEAQ0in7tKYs/yqwYVFEl6J1yXtdRoEh08lQUUMfuV5+H+A8NdE503/HZvDkbYtDwnNf6d1PcgLRKY/mVSVTidGJTHdLS/yKcmFuf5YHdn8Vg9u+2y2vKY9fAIjxJ/fxhEKOg3aWbgjQbbxVYBCxlwnLDYtZZr3cYKbpI0/sNVgC98zRCy64usLNjeg+J6sPL0eSRb9JtU5fTpDisdShmi4hj1GiFKHg90AK9FHWj5EESLWvSOnMwQVnPOmtLm8gVQ2QY0ROYEWkBZvsqkggzZRClQbq6m9JWEJxDSx5BRjA4J6Cf7YxySY+ncikG3r3/iR3BIm3bn9m3MZkSrRbHj9HuCyOMxNLoPzH5FlSl8VpCsrK5gZ9fw6R4eHLrf8J3N6THorPpHoq6zR/+ofXZUL0+EiN6gq91v5Hv8I5uruEOOxXfmEm/QB5+cMbZJbB9CcM9y6unzOKQPrsscHb4jJbm6VOg58u/+6nyd8xGgzSqbMvCgMov+IxprOIVvuYvkXJeEEMgLy+PH9UPNsUu6BMDjQipUtD2Z1SXMfTNT5ELuW5GhHNN+caxfSibYbBi9UqpyhPdSz3EzAa818QVO09YebG1BlZbb9ghq2NxhfkwbPkrA8POePWP2Oa+//ro735LSCwG3Lqs6Q6XWbt+xgFJeQN5Yn8Bzv+9khC8K93M/0O84u/ReFeD5VwySK7xk3mF5dxvK6tIz5zHaNrpYlTmaXJum1CUdSqR89tP9wPDDAQACNLn/kSHg01cOyLmXjud2SUiBhJ/7UjpeXs33MtBijhTMFTxydPl+6ZpVFBYR7Av4lnNQCeeD67UmZocJn8d85/pshA8GBgk28j20iGx24ELAIYZ3hcap2KLSSxyPHjXPOBqNMGEcYKE5k6gRxasSOOoHuXOw4AdpUVv/HEJZ1PaPdUP4nRnF781AlxUuhB977BTOpmYBHbz8JjZp6P46ib/PPXkOzW1DGrr5xjYe8FfrokLJUrFgzSiALDQilnlJT7NrEjDtR4jJhV5tjTBYM9cOJkYxWp6HW2xRdiZuYi9nieGgwErEbi5UwkYc4IBKVpQVpuxK1G+3kCp2lLHw+qTAjCGPPJ/igx/6QQDAQegDb5juQHjiKn8QAG4EMRlh/1f+KQAgORjg4o/+CADgtU/9KwDALzz3Ml6MTbli4A9w7w7JjGsG1Jbc+aEPj2UCs+lkAe68smoCHn4QoIM+AGDEgFWj2XTXmE6nOEfHcjweufLGvV3baVHPO1FBwJPz1++Q3WxOXEjE995LGzgvzJy88LlvIuTG8TNtM14/98xFZPcNWXZ1/T4ObflPUUL2zFy1SDCuC4GApPJSaBekCtfakPbFfjDEwWmz0HiZGf1QAXvUm9U4wIT63coVCgYayzG77knPlXFkZQU9Ns/upSGKhMFKOnRVCTDeivFwhvMlS3DLKXYa5jfF/M75u/vILSz2ycfQI5R+iHtQPJ6zA9V//NVv4l/cMYFIPwggGUTNtQdntZTt0OIBNQfUlsW2200311mWz4npHTmqQmE3oQKY0ZmUQtbIEOcBiZq1fGgTcrIiHPn5TzxzHudKOr3Pv444MfP4pcDYj5995jzyu2bcm7f3MaS9ycoSPju+dFeN3slSICAMXkqNigvurB8hsOvB9gSHG2YMPEL025CYseNeXwbYYnlykJSI/XknGADoNxqmQwqAma5Mp0cAIw1k0nblZNCsAnIGTdL9FO+IjfP+4GAX13bNptnfMZvCZx8MkTBgdfb3/gzynnHehi+/AsHS1JW2OfbnvnUNb/B3bq5v4Jf+9v/X3O+Y8oyirKC0sZlBGCGnM9lstVyZXJYV2N21pNHKfd7pmOc9PNivBbqO0w+BoigW/g2YboyHB/vHnP92i3AE2T/zjrO4VJpnvfalFxFQn77Od+gHnj6H2W2zka+uP3BEuJ5W8Fl6GK5y7dIeGm2WSvtAZgn7uyE8Okf6wQADa5sY9WwIYEJC3x6ABxw7LykdQbhluReej8ySOKsSKR35MAyhvHmZGgCoQmNqCYb3U6yRCBrhnJj4HaumROXScIaMv63yJCpuEGWl4dMee7Svfz8DPrNdm383xXPnyjb2qMpiMRC+sBHU8+9ZR10suIlHv3SkdNH+1zs+2C/qpR4nJ4L9w374iTPYKFhe9vmvQzII8VmWAX7gyU1EW0a/i+sPkNpHrkpkHXZWWmVnJyUc3YDw4TzLw47vymP1vSEO1ozedEozRokukbMEfyg1Dkig+5Nrq7hdGVt/79D4UlNPYjsx7/f9vHSBV68RIKYu2boSr5TIaLuyUYpT1MeznSb2WYJ9+9XXAQA/ogKkXB8Kb+6c67KEZLAtZFnb3wk7+E0mK1BVOK7rpt3oeUHkfBrP89Ekif1wcFDjBheYbzVqwc9j/PiyrGrfm5PVz0Uf+fOk1zquHRyDH3ryNE5pM3/PffE5dOhP/XMqzhNX1tHYNv7p7No9ZNxUbRc5WrRDDZYEai2wTpsmhYa2Pns3dO91uTPDdJ1d+NgtLPIlMpKJr3gS27SPfq7h2dc6tyVoPkpboq0UZuw62mjEKNiF1TKQiwJIbIe+W7t4R++S+R2NCCG7UR9+/XkAQPubL6HNBGLe6aCk/yiyHFMmg/dKs9b9Nw8O8A++zoR0foBVdiXNs9QFFyzlBzN2/BFH5nbh8NF5PxqwOv4Sb3GQH8kTCXYJYbpmV6VyuvSxK6fQr8xYPfeVFwDOx1domx576hT8LZO8Km9to7CUFUWBmPakT6LwqgJ63AvqsoKijRAN371P6iDFQc98r0kfvCEkcvrgK56PB3wGWSrnN1kQQwHh6CNKXUIzQOZLD5PKrmNzXRLUwXhS4AL9+LwjMWuxiceOeU8+FLYdcX0uBXJOXgTh9lYWMvBPlI/f3DP2WgpAHVM2WBt1zAOiwpUo3rhxA7vsXG06Dtt1ziYF1TxeJXStK6OAcE1XjrmtPprEOUnbxH0k7c+PPH0OK7kJxLzwxefc+/gSqXIuvPMi0jvGZ5rc2UFpOxpWJUI2aVvpmnlRSqDLvY9UCilNd6cR2FABgkGG/VVjlxo5dcn3ULEbbMcLMeFaW2WFC257thGV8FzXxaJSSOgHdVsNlEzwWh32S4GCPtPsYIozQ7M+rneb2GcQt8HvfzhqIOe4V502nlvpAwCevfsAHte5GWMnf2GW47cHBM2IAHMy+rktabfYWGQyBapj5lNX8zlfSOjUAA8L5Yz1pFDte/ZcJ0fv9e11aVm6uJSlLGUpS1nKUpaylKUsZSlLWcpSlrKU7wv53kV0CQ/rhA+/SwgkJD9tJwn0VUMk/p9+8yYAoJiO4DMiK0YlQiJicl05EssOUVUijlxpRwSNomWGSJXaQUGLKz30WVrod03WKR+nDna7W1WImcXueBJTwt+Jskas4chaS+HjHssqpqlCg5H++0MTuQ18H99kK+PTWuK12wbC+/53vBvJDYOgaVhE1yc/A5e2+skfQvUXTXQ/HI0w+OKXAAA7RCB89OJZ3GWi6IXrL+ESCQhvvXkNAcnvfNvqO0ldyZiAQBiz3bXSONg312s0GlDM9tjyIFUpFMxGhVGM+yxHLIrCIMMAXLhoMmNb9+8ThWOQGzZTEIThsWWOb79IdBsmm/aR2ENaEoY6m2L9qiEy/OPfuA4AqFoKUYcZolGBiNHnDBI+9SkeERbajJCzLQVGAAEAAElEQVSyjlVCA0TWxEJCsrWqenwFDUbl46a5bjJMXFtYXSmscPxH6RQ5IbCSKK4wDNCBJdMFMsJeI+GhSixhu7l+JSTSqfm7WQmMed18OEJ8xZDRB3dNdiOdjFBQ58V4jNs3je6tnzkNRUTO7J6Z0481Q/yWvVaWQR5TgmOBzrrWPtb3PKwwszAeDd33tJSOeH6xzMNmkOZIClMeycwsdcXzvHk5o5pnA7SYP8dJiBYCUkisr5pSsselck0H5HSCLss4/jfP3TDnjzR8lmJoXSLmoyUa8Gl7fOoS4hAzZn0auQb4PaEVPI6RutJFg+d02sY2peMUEyIJEwHE1JWyLFFaVARJKONmBD8lUqwSGEuWypQCZbmoS4WUKNh2uZVX2G0SpTFOsM3SpAtWJ5Rw0OztL30F3QsG3Znu7iIgCitkCfdjaYJP0a68kU+wumHs/P6ubZcNzNEPFRRtbTqbwmZ30lpGfGtrqwaqMWMzHAwwIZKsXn4koOelQMeVc9SJ6XV1PDLn7RRtsqqtprFNl4RGynVGTyc4/+RlAMBPfsXA8fWhQqdjxnEyLBHzfZpVgMeMoj/inMYeptSVqFAQtE2BFPCZDcVjPQS0X70W17pZPi+l1kCTMPy8KueNJYimi8IQERGiY6mRsg5SVEBlSyhZHqAgUbBEoFFU2Oc1OtLDLDJrygq/U+p5vtqHAIiAjiGQsIyxJOz9vcLDZ21GukbWLeqNKeplZQ+Nv3k6Yccd8hGZxmPkWMRXvXRoTp5vSopOMNPNy6+uGjT1RVUiZSmEmE6xesX4Tb/nZWObvFmFBpF7xaR0JLxFJVC2zO9qjDl3cYiZtuThGussfR0LjQb9H32pg4iomBaRC15RImI2uC18VHyesqqQ0s6kvG/o+4hJ3DypNAhYhVcJeNSbitn4XAiMqRNBWeE+y/IneYb7bYPAefqcWdfLG/PmKY2VPooDg6ZoKOUaGiT0Yz6+toFPEUmiKo15rniOdLEt06tallsIhcGB+R6kt0D/8JDU2Xi1mhM+q7kf5NbShY4YCxCK483X2yrmwhv0w39ovYt7B+YZx9MJLj9zBQDwiW+a5gbZ7SGUW+sqSJu0h4eybeZdTug3NWJMrT4pDcm1MIXGBsuBWpc6zn6tEKWXZwWS3KIzK7TYsCrXxdxjIDov9HxEtCezCkj5QFWhUVFPU/rjWghXChdmJb7wmc8AAH7mD/1BvES06EUu3n6eYzI1aAjZ7aBkGa9+sAO1vgIA6K0Ye/6+bB//0LMlOxoDIuQbzSYmLOU/fhqPTOq3K3l+K0DEcdd765PfdpGooD0P3Y4Zn0uxjzQlqng2w+lLxm9636vGNnUThT6pZPaHuXsLs1Kg7Fi/iU1lGiGmVteUBmJWP0iBkEiWzrmWo2HY4P6lyHIcUpcmCujSNuWqcKPikzKiyjSa9LvzsoIgF0RVaGhet3SNETw0aby8osAOy9A8COzQb1q3FS2edEh2DwIRfZoYGiOucxXXtHfqAp+NzbNPWXL+kDhqj/khIeB8nn6vi1VW6YTBAUZjlqTZBmQQsC+u0kcqJR7lLs1vMr+3Q/Ic/5i/axESq33T7OJKHGCqja4czqY4/5jxPU+9aBC97aFGv2U+384yVyqfl4CiXdIso5Vx5NYjUWm0Wa6YCSDkPMRnmxBch06zJLTMC+xbP0dp1zxlrHJnlyT31X7lwSfCPNEaFctRi1whoP+aU6dmkKgYi4gLhS2WDk72ClxnGf9jpCoYqQq2bDlIM4j7xp/O8xIN+t7XCmOr3isFftsSxVcFjpvciW2SUZ9bwPnYQkiE9P+zNMHDNsufl+ALCUn6CE9oV0Hh6EVkfU2sX0N8Rzq0RHQtZSlLWcpSlrKUpSxlKUtZylKWspSlLOX7Qr53EV0a2NszXAk70wt4/xWTCRi+fBe9oYlCDyyR8lRDRiZCuCE9jBhNrnwFeddEJct1w8vVKirMGJlP2hIMpqIKKuQkd4v3BYqmiYCunekDAO5mBVaI0trXJSpmf3JfQjNr1GRU9DDNsClMpFNLjfeR0Hhrkro2y5ZIdU8VRKwAL2QJrq6ZKHXjz/9ZwNLGHJJI/oUX8fzrJrP/bCOG/+RjZnyqEuqmQX91mVH6xc98BVsPzDEhNHJmPONGA82WGYuKmdgkmSFjDbfGPNoaRZE7ZzabOaL7kp9XVYWIGQYppENs5VnmMpI722YO+6urePqZpwEAX/3Sl5CTi2k0OHREiScrGqNkAAC4Nc7wg0+YrMbOa/dQ7RveKJ8kphhr5KH5jS0hkFjSY1+hvE8ySeqTV1QO6Vc2PEd0ORM5qpEZ89a+hGSmM+uYz0dSoMvszkwC2YxZn9BzWR3PcoGEEpK8AnHkQfMeoZYYD222yIgfSWwwc/DKwRgf/eBHAABf/if/DKvXDGJNDYYAgIvdFZQk/y0PB44ounH+HPpEKuRdo3t/8ZXXkaUTO5SOgBNaQTIzoIXvjlk+lyIvkRLRoyEQRiYzO5tO4fnmOStL1ggFUUdILJDbC3dtc0jWCKrnc3DS+UkBAa01dmmb9mcX8b7LfQDA3rUHKAcGRdSlYUlShaJJ0l3pobRoU6Uwu0fOEPIHekUJwcxL1ZRzAnlfY0xetjgDJLNM1Yq5x0gKdMgpMYKCsFwAnqw1niDxt6gQEqEThRI5UYMyFw5t43i2Q4OQA4DbULjMZhP3JjOnb3vMtjzR6jlgnb+6irUf/Jh5nldfQ/mm0bt0bPTu780y/Ozv/WkAwL/+3Ofwyreed+Pbot7MZtYezTlx4PmO160sKzf/BiDhqGLN75EeKgfCUAjJ7QYxBwCWtFdC+gtoinkKSdY4Kk5I2FRhMjVokFlxFVcu9AEA29cfYLxjkG8d6s0oAfa41vU9DxOn8ArTLWNvutQnoRRyok5UUyKm3chEiSF7mkeHQESEmNXNkRToUvmGZeUy1r4nUXKcJcclg0LM4YoCD6QEhJcJBKnlxzHHdAjwEfBAalw4ZRBGKskgyY+ScD1unTqF/Z0d/jIznwDM77Vcj3yGvz1JoC1PCiQs+kYv8IY8nOmWQrrPVVXVkDWPmvPjUtr1VthHEDfua/XvnaCF4qX3941tGmRn8b6rhtx569oWSiJIenyeSSGwS17FRuA5LpgcGrhPXryNeUMA9txAs+WjHVgiW2A4Ne9RlAMN8udUniXjDXGOD7abFMiYyf7m/gAJ15DCIboATVh8FEhk1KWgkEjoc3gc1ioAYurELZQIySfyYDKFR7TozanRiUvNFirak0FVYIWNVmb787bqgmvUX3rtBhQ58gwZWZ27z9w8pM9TFgV82utOr4cJ0RFZns9RpAuoiMXrzP9FpJDnuwZBi8S8x8lJ4pZrojV2iLR9ffcCnrxo/Mt717ZQsBKhy5d6uxA4YLOeVui7hgyV0G6t656a+55j+j/Npg+P72zlKSRsDCBnyhHTl7zHWAp0uLbOKgVNxI4vpeO0VNaP8wCPaOAw8hwBtJcBCdc6C9RTIVDxee9pBRAx88WXX8HZC6YqYUQk4Gq3g+6Vi+bYaARNxE6yue7m5PDGTQDAn3v1FlRm/SaBiL5ZHIXQyoyFrX44jg+OX8Rb2w2BBQL6txSBE4QAHitaa+4NJAYD824Oximeod9049oWcqJHuhahXAjYpgK+7yMNLD+WQsE93eamGb+0rDAlHLXb9AEiAgNPYcwmJ0g8ROSJs5u+cS7Q4N+ZVtB89wJPuj1ZxefptQPMDo2dC+MAqW8+b8LDdGxsRMfaVShMiTaVAo7QfDIcOW7ibU51Gs4bTGjAIYnH0HOkF5/lb2cFpmxm1u+vuKZgmH/bXauuMv1eH2NLxn76DB5smSoNXVXOTjlfus7R9qimTqL2h1vaHqW7JyRaYf/Q+AfD8Xk8ccnYpTfeuI8RGx90eeogVUCLcxv4SKxd0ho593Ob62b9yMoKM/rE/XaAiroUCoVkxj1hAYS0S4p+96QU6NBnmqqKKCkg8OZIpYqOZxACfk7OwaZw+ipLgTER1LaJkAql42K7rytormN3KoWI43wDRr/e2WpDcX/lb2xghVUcr1+7jmdoBy/wO39zOKmh/zxAW5L5OorZrmF19LCGZ/coZTn3oaGguVZZlFdRVjVkfAXFtV8IUWsUpd0xV2kh3P/hO0Uuf+8GuqAgGCz6yizH+lfMZukJ38fqfWMsR2ZOcdjQOMf3bNuHW9DKOIJcM0EU280iSSpc4py+mSnkawbmrrIKONfl92JHeHudBlgXQJ+Q2RVf4szMXLAZ+hixBMM6jRc3LuISN4Vr/TUUVL7JC8/j0hNPmGcn3Hl1OsXwrnFMzyQlLj12dT4E/93fBQAU3IQFTz6BZ58x5Wef/4t/EWc+9EEAQKU8RHcN2fwv3TUw/e3hoVsotNYYsYwnimNXsmjhqnGj6XQpTWY4fcZsQA4PDxERMg4NlDzfkme22x0XNMuyFM22MTbFTo4Gic0TbmB2tx/gIx/+EADgve97P77+9a+a5wlD5PVODicmAjYc9Oo0x6mvGn26FAdok0B1n3vh3VjhbMnAgdYGVglANwMEKyRTteWMZYkLmbnuXa+CWjPjIYQPecroVtGIXXeJLRIH6rxERDjtWuQh5S4iVQo5yQubXfN5kmh4NCLtOETERVRLYOWi2cjYzn3NUmPMe5xqt53JuhrG+OFn3gkAuPW66Zg3nM7gU7fEqQ10zxv4eDadQJ8z8N+//lsmsJpJ4UoRKq2dI+B7AuXRfaEQSBJblqgxIAG9J43TYs6RjiB6Hs+S882m1otlQ0c6OiqlXAMF1Da/35WuZrXg3jenGTrfuAkAuNDw0d0bAAB26JgdNBVWKpZlKAVF597vRmgEDBJz/IqqwnlC3u8VCoJdDItpiWiV5zZieHRqb3Oek1GKTodddRoxBiPj1JTQiLkpW+8zSJ0JxJxIEQRoslut8DSSvnnXM5ayeQposlxxnBZocmwvSx+XWWNUclEba+U2Cu9+z7vx4PYdAMDW9jaeYJDpb9w1DtadJMF/8Qt/1gxlVbpgeZ6lLsBlA5dSeG7D5HkSDZYlpckMGTv0CSFrayEDF7UOdxKyVjZtjhixgY36RuLIJtQFb0+ovJqli5JdFz9zmKK5Z96X07GPBv++xRLT/U6FFW3sd6Irt9aFjRAxSd8lbUWhKpyCGfudokRJW91RHqIVBs7bDQhGNm+PmKgYZuiwdHujE2PATr/aEwgYGNckcVWZQoM6XQqJaEpHTSiUpBPIEm4QAHS40TtMCuwSWv/+XKHB92nEgMZAzFxTDikFMjrSqRSIWW7ySZ/rajk8stGr24ojcPhaOaNSNUcMJtg1//4Re/IoR15IdsOr3wRH7JB9hnqnxpMTmyz42jhHg/QOpxs+5A6DqezyNGoreJy7AhUUx8LvBGhwnbNtQDJV4TH6Y2khoJrm79ksR4Ok0I12AyHnYZd6cG9ngksr5p19bLWDGwcm2D1BBRmxBMl2gc0rp0sibgAkrpdQkNTHSW5tk4ZPfe8XHjaeeRcAILpxC1ctqTjXUV0U0NyQtCqFKjTPOG410eCY/WZofu/ozVvG2QMAzOdLCCDgOTmbfXieb7o8wCT3sszamLn+COia7tWbIMyD6VYMY4E5fmzJI+CaoGiIE6+qNs+iXXnui2mJ6humQdKZdoyUJX0PuNEad5XrmplOSveWxK0AcY/UGHyns6LCObYdnqQlIpZNSwWsrJlrhHGMgD7sTQYTimGGDstt1zoRBve41gXSJYA86kWeVujbphuej8x2vIOAaNskG0utlUbUYMAxK/Fjf+QPAwB2fuN3cJG6fMgE4f00QbRtbNesEWPGKUz2drD2tEnm/uM7xqcfzsaAskF4hdls7vNMbWmQruvCcZM63ywvxhDEMX8ftYP6mHPr8u0+fxtFzP27b04ySNqmXjNAuWt88CF1KVr1oWKWdE0KaNJ5NNohOvRTbPWfKhTO2AZMKJ0vlCQV1lfNmtdsxS6YeodJw2yUocWS2Y12A/ssBSt9CUHbFJCsvkw1VkgVMRUa5cz4TZko0erxOP0mlAoxSx73JwWefI+xTYOvPY9nG8YWVgwW5NCobCkdNHKbyFMadCHxG7Qbqc7hM8FwODg8ssYcLc2fz/1gOECv1zPPs7eP1TXT8OXWzRvue0ofpwc1Xap3D14o0bfBCXHk3JPUJwZjaJdeykoktEudRoCMycGE65zuClS0/7kqHMl/ux3Coy5ZuyRKhVPUtWlWodU2n4+SChtsOrbWbUFan4mB1HKUo81A6ma7gQdbJKMPvPk6R13KU4UVAmkmQiObzpO6Yc/64ExWKyCgLnlJiZCgmd7hEB9smiZWdt2eVsp1aPzYwcA1pZoK4AVuMv4HLm3jYjpfg96SCN6ONj1nz3NUQ57nOSCM7wfG5wZccwW9YH/motxncJ9rrTCngajZu+8wML8sXVzKUpaylKUsZSlLWcpSlrKUpSxlKUtZyveFnCiiSwjxMwD+KgxU5m9prf/8I877/QD+EYAPaa2/9u2vbDJJnZ6BmP94XqDJmF0oBbYUyY0bhOlJ4MltE2V8PdRQzBqXqsSUkMzGwETgS+HhW4JlQGPAZ8S2K0NItrs9SDMERCy8edNEh5tBgLtsg/3+82uIffN5mmVoMlt1gRml9SzBmG2yTzdbSEhGf/b8aaxcugIAuPY7nwIAdDzA75m84tn1Ps7+6I/Nh+Fxc27wj38VALD3yU9h7d8xJT/rvR6mhFIf3t/CIcsK/yazoCoduphpu9NBmpjMV2tj05FgpkTdhGGIhG2apZQOgQOtERCtBgj0VgxiK5mxBapSDinWbrdwsL/nzp1MzD08jr/nB/jUb5nf7Hke2m0Tja7K0kWFT0wYKW7GJqvxcShEjIIHEtgjQV/DkgUCOLtnQt+3PAWPEfVQAilDx02iHxAGeIlIvnim0OpaxJdyiJOpThET4bd312QFNQR6JKgX3QiK2U1PK4TBnLwUMC2MM0GSX/joMkMea+FqFm2r3VYkkDNDfjlvoHH9FgDgbLuLO2xUYO+brfShc+pAniMZmrkUvT5u7BlY8C8zi5lkCSy03vMkKrKcB3ETpUXhzAd8Xm7G0iwedmVj0vMcjNuWygaBj4BwW6tj7hpH09eido/vdjxfCDQ6Jiv2gxoOQhz6EvuFmXP73nhSYP2AKBWpISLaMR8oOE/pofmOL328wvmosgpNZu9C30dC26TSHCGJux/cGQAwiCVBWJ2vYgiLQkLpSkzfZCnG1WYXYyLpQu0j6phr6VK5srJSzElQS5Y5bmQtdF+/CQBoN1vYZrnFExaJ4wkMaf9uvfoKNi9eBgD0J1Pssxzxbz0wWe5TF85h1DVIxPFgGxXfPykFFJesuGXsw3Q8clDoMJiX9viBj7ywyAtRK118OMMopAdVHYPIWchC4hhRD+vd2y4KgIdG06x1P6YLBLZFtFR4M2c5vW1RDWB1ZMZgJDUijrkSgG0Q7SUs8wp83KANKpMKimgLGYQAkZyTWYYm23Dv3B0AgGkjznJF2Y0cgbhSFfgYsDymvvaxPyOSJQPabTPX6axEmthGJXxGrRwiJ64qdNkgZkcBK1cvAwA6tw3qL5ESObOwQmuEtBV+pZCQbPpXRhYRUUPb1dGd0LXSrzmyyxHqS1lrVFCf51qm2iEp5Bxur6ra+bXyjYWs+nEZ8u8Ag/+7FoFmx+jSx4We65JQuMnixKYlhYVGf8gSVAkINlop9bytumIpBUIfW7Qb62MBHdlMrgcNo6PDpECDftN4y6z/Wanw6j3jT2wIH6stopwnY2SWjzkkAl9L7BE13ik0AiIzvEwh4DxMWRKZesplhdf653CGdkrAw11m1t9FvbyZ5cioS2FRoOTvaCuNirr0d++QsF6XOA6Bp5VGk3bMEuyWZYW1rqkC2N3ZNk0MzKhB1BCAvX4fwLy5zGg4RGVtV736ZwE1WCvpsMeFPNLB/YRtEy/faBk6jWeSxKEFC1HiVeuTELEwUgot6lPhAQHRVKXWyC1FCMt/ZODjFpEBrURBcN3PPIkp19BBmUJ4xj/fvmN8EykkJNe6oKoAVicIVTpAgKA+RdrHgM16GtpDr2PpFObvb0r7kIs5CuXx1TOQX30OANBLM8xOm7X+ClFHN5MMu/TN2t22YaoG0JQS268ZAuy/edeg3aCsVTZzaZvxxHEDM/o4x9ugIyKOsyO1fy589VHo1m9znRMUKQWUKtFomCY+HyoKCI79YZJisG7m0SJ7U6UQDbgGBQIe361CaYf0zdl0SYQBbnM9a40rZCSjz6VwflMyyxEFxp5sWx9cCxT0hXuehLLvb6XhWdvE7Y9QPsbUpUAL9LnOhULCt3PK70+9ApL25mJ3A49TBXbjJm7yus8SNTTyBHZ4W6k1fNtsTGtYuvkvdM2+pe2PcXh41Nc+KvM59RyZvcKAfrzvSQwOzT6gKiucu2Cqd+yeL03TeZMnjbm+fEf2Zn6uOOE1DtBo0Qd/Z5IhkqQKKkvca7N8mnuqqVTIh0RShtI18CmUQmn1ikhLGfq4S/sejkto7sVyCJTKrCcHSYWI1Rg7d7lnEtJUhQEIoFHRGJV55cr5pa2c1SGGqT1XoN8xa2aRlw5ZZ1GpmVbOhVlNY5zmsOaTFG+wPPL9FmntScy6xm++9ez7cOm1awCAaGcHh7S1f5PNMBZf/UfNFf0kaASsylhdW8NoaHQpTRPA6lilIHzbxK6+T7TrnHQ6oSHna6uFZQLOJ4WoNQMCviMf/MQCXcKseP8NgJ8EcBfAV4UQv6q1fvnIeR0A/2cAX/43u4OH6cQsLEm4iRF/+P1AYy2wnV3Mf58sfTyQxpoMOwEkjUgYesgHxjDshXNDaev9ZSfCRZAf6s1tiFXWrp1to1WYa0+vGsP89Vfu4ufe/TgAoFtqJDFhkYExxAAQcW8+whSXLxj+LF/nmN0zAaC9Xg+Du6Zs7Px7nwEAXLr4HrzxdTM06+1V4Ac/bC7yL38Tha0Z/6EfMGP5wgu4zc1if2sb2ZrZLPqdFopbJqBx9XwfAPBCOkbIF7PT6zrIqyeFK7WIuAGJ4hg+dzDj0RCzmTGxrXbHOfdlUWBIY2hhngBQkJ+gajbQohM7ODx05TO23FEIAdCZmc2mwMyacb3QNe9kxJQPzBIzDyI643i3dqXGKh21CmY8LiLAtjB6M+qE8PhOeh7QnrDenvqUqBI5X8SgE6Gp6Hi9sYPmunHShqeb8BJzzsplswnZunOIM5eNbqlxggMGX1UYIOBcxQU3ViEwY+Ak7jSxzo3KgRS4zzI1nx3Vzq0/gXhinKzixjZGtiNHlmB66yYA4Jlzhl+iFECnafR/5ZlnsPbYZXPdO3dwwHl94pRxcl+4dw+2RrERNzGbmY2MqhQe6lCmtVsfm602GuxyI4RAavksZgn6K0Z/9/d2ea0SSVEvYz3ipC2IdiW0ZsN6dJNwEjo1D9pNR9sAgMI/hYqbrG1U6IY2SMkusZXCyCMfXS8A/4RQGjH51XIGvwZFiawG0U/ZVajc3Ud7zehSeqoJMTW/deOi0aXdO4fYPGv+RpK6rlOx7wOR4HOwFDdPIWznn5UGQnadSnwPUy4+MfUvubaP1oqZu7gtUeZ8p3f2kXPTN1o1G710tYfmptFnX0ps3zH8gPH6KjapN+98jym7/urrt3H2lHFS8nTkgpq6NmeWM1DUAprS89zmwPfkYjnHQ7D6uY06GkifNwR6VFnaI+D7JyICQIXplJ1QgzVE5J0Z+wJrdDAOSjMnV6oAY9qKtB0gsL6Br9GgI16RKyKpKhTW1nci+GwnVNzZh6RtUptNqLE5Z/2SmZMHt/axet7oUzWZIQotv1nlOgTJMZ2WqILHjYXshSgK2xUvdJ6dR+e9vHmAiMGL3moPBXnJlARu0zZd9FlC5gmknJdWpVDU/J4W14un1ozuPTcd1qZM1yd4PrcLU1p3uOw0yCN6cHRjKOYbUnFER47t0FgPah0JrJ5Y8JTBoJFJUuTBJjxrrzyJVW4icwYPLlUa+0zCJR0fMX1SLTVi8m5ZR79RKx/dbvhosBPUdHsfK7RNYj1GxHWuf8HY9ldfvI1/9/2GrkGlBUhNgvXVNiYsFZvtmXe6agokfMayGdecfg8JbVO7MvcqtseQLGFrJSMkN02gyoc0Pg4A5qqQS7NGAICoSmS1abRB9A++6x0AgM8//02U5XGJN+26KkrPfKfRbDrOSa313C/ScHPsBaEr4+8zUaiqakEXtHj4e66ko2aPPOnNy26r70KnagFACyQT43PqYB1VYZ5gIiRWmWXLudadyjDnDGz48AobrAOCmaVboC0oK0gGi7xeDKohxjsHSE6RY3AlQkDOtg3q0+7dATbOm79VkriEUiwkSto9OWEJTagQsBOtCiP4THaEcYyCm9kmB9S7N4JHfdKjfRzsmA3s1TOnsEufu3vRBAXSLIWk/yqyHFMmE5q+B8myqSe5eX0unzjaCl3jutGAS/aOR8O3mAQrx5Xy1G1Q/bRjAlh1+7hwze9OsEspDc/zUFbs8hedQsC1ogwDnCaX5JQ++DtnGjcta4qvoex+WWhI6pKq8SsGtE1eL0LOF3y2PYTf4x5nI4aizTpFv+nurX1snDO6NC0yBA0m1KSGZtBfzqwuaTRZ7iqCAII+hYfAceZK7gm74wq6bxLb0TTBFhOdYTMC2Gl8m3vYXQ/IOCcr1TyIJ3zPdYx8nL5W+cRVfPKTv84RPRrdfFgnrM1DjcZBaUAx6BGEEcYEPdgS9majgbHrtle/7qPE+vyLPpQQJ61X0vngIliBdfHCOMQqO8mXTNBdmGrckOY5VShcWWAoBLS1S948YOPTZ/LbMWw+YrA9gNc38795pg0wAbRxztj0O3cOcOGM0aUiy+BzT9kLAyjuzaz+qUDBa9CPCiMIznMUBMg5jj59CnV/CJ+lsd6aj2LLrO1RHKLkWjGjj5i2m44bWW/vouDerhMEjq/2WdJXfG5UAHjUGrI451IKtMiBORwcuu16HMco6NvnWQLJcbdZ0AU3qRa4kgJQ8pjQlD1W1yU957B7KzlJqMOHAVzTWr+ptc4B/AMAP3fMeb8A4C8ASE/wWZaylKUsZSlLWcpSlrKUpSxlKUtZylKW8n0uJ1m6eA7Andq/7wL4SP0EIcT7AVzQWv9LIcSfftSFhBB/AsCfWDyqXBnTnxtv4M/wVqe9EGrCqGfPhBZvr1UImJUuC6BN2Gg2KpCRxDfoG7SRlwMtQpi7KkDIqGacVqiYNY/9JiywpJWZkO67z6xCkjR9BtOdAQCCXCNgdDZkOdduMsFw25DDNz/0cZwiOuG0FnidJY/XxyZjpF78Kj72p/4TAMDWr/868GVD0j68ewPf+uYLAID3PmtQXiPPw6lNk3Vv/oHfi/t7JnskXnsFEbsqPvfi6xy+HCkjocPDQ6yy09B4NHIk3hGRH/v7BwtEvBbF5fsBJnzO9Y0Nl9G20Nb93V2XrZ+MRuiSKK/ZamHGrMCcXFy5Usl6tF9AIG6Z+ZhMR3g75CF9OkK0+OfuRfhTXZNFXvN8lMw8+kZFsNevEDM1qSthOmcAyCYFMpsC7JJgMBM4c9pE9b0K8Jjdi5MC44RR/aABVqRhPDS60OvEqNjpqdSVg2brWYGIiK3APXaBhJn14e4YU3b8SHK4ZgEPmCl6/careOrx9wIAbk5uYcbygjstD1c2DNn8ettAofPQwx4VPb35JnZt+aMfYMKy2JfuGz1GmbnxS7PE6YjS2umAJSk0x81/J+Ox0wWlNUJmYIWU2GVXtXmZBhblrSp9asf0sZ2t3h55SJeEWLj3/3u0hv+7NOVWp6PAdcrM2R4s61SupswrAMUvF8MChUcEDjM2yH30mDkpswphYOamNSvhN808hzJGyo6tCbt6rq+0oKh3larcsOVThZhZd6+yY1xiHLCc8d6BI4pWlYDPrN4hbWbUCeA9MHPnSQ8HzGLvtzxErEWJWOKm1lZR0l43ghATNkw4t7qGnF1+EmU+P91u4BJLuG9dfx3Ssx1YgFa3b65HGzOdTJDzt6mqQqfT5bkaBX+TsvBo8wkAUzpq0aT6yJzpOhLMyXejrOxhfQpZgmnfp79wP8Z/tmLm/bQSyKlPayyfvuUlANc/nUqX+cvHBVSD40ES+Jb2scmyROQas4ydrSYlJN/D5unYVilicmBsYr/fQMX1pKh1AssShchbXOuqskBBktXkMEHALHJRwN1jyPLZsBMiPjD2L/A8THitgQdkLDM7S8RnHocO6l5IgchC5LXCIY8/d/v2fGAXAA8O91KzC/XM8xx5Ov/6vIudAbLU/wUDtT+mC5XW2s3d8SVDql6b9tD3fzdy7Don5vf+xe0m/mho1tR3Rk2M+L70iDo9DFNookODTEJYJPxMIYnMu6P67IKaa2z0zbvXzjUOUqMrwSB1JXnrZ5pQRI7uc5376GOnkXNOM10hpI3Q08J162wRxTecJhj75tnDvRlyPuekFIipSykz834kcfrA6EwQ+rCYmJkPTLgW9unPycgn0btpqpISSdRdWUV8/hwA4LO/+Vscwgr17ncW6SCk70qBLOk8ABwe1Dqf1dFYthOxFtg8fQoAsLdrEGFazfWy3jG20WwhIMJsNDDoeXMC0SO+72whH4q3e3s6wz7shwtAaKfWf22vh/+gYVAUK9G8HDEganjcVPAt40AuICyia1Zi0qDN6rFsthA4TX0KK4EhqTMuzhT8EZGcp5tILGqB+rS20YQqzRgUtXerSgAWVrhOi9UsR8m9AAYlcqJ0fO07VPOEhNVoeGhvm3v4sY8haVFuigKT1BzfiM1amSVTV746qyqU7BquggC4YL733PMvciCOoCPo2x0eHLxFd1f7vW9XZqhrp9ZQo8cAvmz9kxR14vE68v3t9Z+O29NVVYWK0Kz/+rCL/2NkkPzrsY9dNpBYYfObO6JAoOgXlAI+kX16VmJIXSqJwPNKgVVSHei8QiXNPVbHOYStjpARSqLGDveNrq2ut9zz2KoPAKgS7Zpq2MoUkRRIWdrRT4EpmyQUYu6DJ7bcGyX6941FGkymGLO0bBoBIRFEV4muzlqBq7BJBDAiUjOAcI1mPnPTNM7CjTcW33VR/+Ph+XPIVA3ErN5J0gxN2yhtbRUbG2Y/uc9Ohbdv3XqEL30UQXbM5/zeAtr+bTBNx9olzCtJ/tp4BX8IBtErFNAh0XuPSKp7OoVgY1OZCficcpnW7JItL6wENllqjlxhSltzela5xkxC+0itr3xoDN65U11o7p+EpxFwHawSBd9SvtgqpyRDzu93M4GxRZtpz/nCY+qXjH349MFLT2LCfWDlS0iW4jaE0b/Hn34K90gpcigUYldV00DOZ/jc3X2OYd0hLvHs+94HALhx6zYGA7sPtyhAhcPhmOcqvOfd7wYAvPDii+4SQshahYS5dllWrtRda+1srqoqoI5+hl0HRe1adfn2ftP/Yl0XhfH+fhHA//bbnau1/hsA/ga/d9K1Ikv5PpelPi3l7ZJFXZJLXVrK70rq+iTlUp+W8j9fluvcUt5OWerTUt4uWerSUt4uWerSUr6dnGSg6x6AC7V/n+cxKx0A7wLwaSJ4TgP4VSHEz34nhPQa0pCdAXi6TF1r2Jf2J3gv0VljRvri/Qosy0eogQmjoeXhGOWKyWi3SA6hvRIz8tIMfYXT+yYCOl2J0CR/SGOliYLZqPOpiQ53iiZ2dgcAgAte7MiBo8jHRJoMX8WIbyuKcZfk73E2xV1m4d67vo5+pw8AOLdtIrOt3iZAbqszf/APY/Lit8wzhA34e4a3pZiYa1155zvw5je+yWMDDG+ajLacZfj82JwjIxOtV0nugvyz2QzNxIzDbDp1maSpI5Wvk+vOM4xZliIiB8Xuzq7j8WoTVXH+0iXMWOM9S2aOM2k2ncLjuWtrhuPp8GAfheXrkhKdNudwNFrMUp6I2GwE5zQfQRLG8Pp+jic2zLPMbBbnsMSAkKRAaCTMMrfGKWZNc25UkddLFsjYVljEMcSWydpWqzF6qybL1FltIyP5YJ/ohmYQoSQPymycIbX8V5GPjJmjhM8gpUDEPXESCAxHzKZ7AaYc0x4zJ1mqoUjS3Omv4E2iHrQWGFXMgK+bWvI0TXDpzGkAwGGaQFAvzj92Ff/w85/n0FkTMs9il0UJz7PZGw8dZkB26ggtlygUjiugGTfm1CRKodk3OmmbI5RVeSSbVAv3v5Xo+dwKraGFxMlwT+hFRAiAJ8sUQpj5urGd4fJp8/5NLYPkWGHKDEestCNF7kwyHK6bc0P2J1de5cZKtwIUzAqO1yJsEPXVWmkitAhEZukKSHgTNtuYVhDUm4bvIdWW0JXIHw2EfP4EwC7Rpq1Io+Bc+wO2cj/MsBYaRIeMYoegimYJSsIN/Z5BM072D9A5ZzhMDoocLWa5sbuLT75qUKavbpnlYWNjBTfeNMeiRhOCSNk8yzAm0aUlv5TSc2hTLeDQgX4wR1iY9so2u23GvciLY5E0QnhzRNexJMDfLnP59okQAn4QQUPA5+992lfwaQtubU9x+ox5RxKuaa1EgDTHiEuNnPRZ3VmBpGNsU6u0Y1fCJyF01Qqhr7GF+2qIs3ZdXG0ipT6dIceNggePTU2SWeF4wPq+jyEzzh7hE1kFBCSAGJfaNc0oC0DRnoqU2e9JDp92qoRCwWcTZYWQ3BLWzIgakiQUwKiyBFLAC5Yp2LJP18no9ZH5cxnw45ALc/4HUTu+MPt1glSiOAxZqv0ejkFq1Z6h3khDeDjRBgeOFMNc/7IsHa/iS/eHePJCHwDmfGepQMpH8bLKkf93phlAXQoLovV0gdzatHYEtWcQAMFmCyH5aGQ7RkRk8hoRraXwsLdt3ul+MOdPDTyB0iKC2rR5BwJ+zrUPEgPatKoCfDYxaHHuq6RESNRUM25gEJg10SsrtOh7hOROHGvluMrgSzR5jcbqKl7hORfPG97KW7ffrA/onN+vrKAszxdsxrpEizxL08kYDr4gPOcraQ3sE3lvuQhFbX2Uvg/J7HYynSCx1KWUMAyhyEXbXVnF3oOt+Ycn3SjjCFLsssocn8z93Rxr68bGl/a8As6PaZUCBX2EdpKj7BgdCeg3zVSOMf3wsBVjuG1+uF6LcI62qd9rIm7xekTvlJCQU6KX0xI0i2iGHqbaEkoTjZ8LNIgEKnwfk4n5XrcRwiPiGDPaplnpwCdpUUGRdzD1PHgtctDRD++fO4fhvrGl5XCABpHs2g/w5f0Bx84NovuH53koLeq9xtf1UMMMczccb7PqSK9H+DjHuFBWlH7UPU5azEPFRD89mU/h+ebe+/sJGpvm+Iz+cVZVkHz1olI7Tt2LWYVZ0+hCxM5QuVehso2NWgGSLfoQqxE2qEur/RZSi2onAllLD3JGsvqsgG271Qo8JHyOwMIEC6BBTrGZqjChz9IPNQq7RBCtqiY5VECeOSEwZlWMDAOU633z+4ZsyqC1q3ApoRDTxviVwte4rlZ855JkXBvOoz7uWyDzhEZFn7DX7Tjk/nA0whb55zQ/b7c7mBK5b1TlOB/JHqrma3BtBS3LEvIRqvn2iXD26XyeIuR6U4wrKCK6htyPFoVCxt/XLITjQevOMlTkrPLtOidL5FwTVDPE4I5Z58KVEB2im09t9DDmnu9sTZd8VuiM0xKe5Ret+eA+95GiEAhLS9gukNOeSSFQMmQjaTuTYYaQeptXJcLQIs8qhC1jf+NGHwAw67TxwZum8m330ln4RGaN2m18jshjYflJBeaIYBHg1GlT7fPSa9fwMN9tjTBeSGxvG1RvEAQoXBVPbcJr60ad11TVEayWY9LxcmmnM0rNbabWqoaYf7ScZKDrqwCeEEJcgQlw/SEA/yv7odZ6CGDd/lsI8WkA/9F31nURqBv0X7/5Jfzhy6bUJS4UIjpDF6ckj5xqfIsVGrMsww7h+I/FEXZpLPrWaa4EwE1FhAr5zCjZqR96AiWxfte2DnCWL0CbC+xa1MRrhTEAWaYc6WoqFUIaw5Lkiem4Qs6SyK3tB7hHpX7vx38U2deeBwA89a73AABa734/8C1zDM9+AO0PfQAAsP33fxkqJNHz8ya4df3Na1i5YByyaZIg2TSQ+IN0hsmOcYCqGcsZxZxot9PrOLiqUgqH+/tuhOcyV9QVBi7yonBBsVar6QKPCQ1hmsxc2VocN90V1zc2nINoof9hFKLDDkWAcMGtJgNe5n4nFfDS7F5knu+Lh2/gD3cvmfsXCjFJnHsVF8u0wpshndksxwGdpUbkY8TFrs9FOIBEEJCQtkgRsnvHxo8+7ojA7+wMsMKN/8UzxjFuhS28eOOWeYamRGtKZyiYbyJn9OKmowIRCctLL8AeS0E85K7jz4XThgg8ySe4l5kF8cboAGtnzPFynKDfNOOfjI0jkHfa8Dn+3bUVxAxqPv+lL+J0my+U3dzVxPM9bGyYAGalFGKSzVtiXlOqUoOmUtFaraYrY4laLReosCcMh6NaEKJW8vMo0tRjOgnpetDjxGTuIP7G9S/i5x43TSoahYKfmTk7XZnFNiuABwwKFVmOgS2JbgZILLSYi1qoJFoc9yKdIRubk8994gkI2qY7WyOsUpfaHZafxS28OB6YZ4gEPOqr3xSIbVmgjQnMNHyO22qriSEDXWleomBAYoVEuug2kG6eBwAM79xF1OO7GkTO6Ws+cdUcu30bamLswqlLFyCm5ro7RYbGVfOudSfGafjIRz+Gv/ff/y2OZa3DihBumt2GABq+b35nq9PFhF1eyyR1m0lRW0RFveTsmECWKU16eOG0dkpKz12r3W5jxvHJ8refYlIphdlsgtXVNfihmdPfuPMc/v2nTCOTsNSOjLnJsotmIgCWLlczhYTz0Gs1kLOEzKvpE0ic7WUJmrRNmz/+GEKW29/ZGqLLMp0m4fvdRhsvDY1jFIcSKcej8DRC643QaZOlhsfPG40YY27mk6pEzjLFDepNEXo4tND7NAdsyWOWoWCX4owdRUvtgVqIAnBdFytPom9bP7queI/Y2WnMbYM+5nNgwXYsBg5sJKJ+r7o+WZ097tYa9Y59C90YTyw4IRbvA+AzN76GT/D91HkJRdtkHdE8UWBMFGpSYp+6FEUeJvSbbBOLhpBzAtnZDJJNWa5+4ik0aIeu3d5Dk6V3gvqx2mhij0k4CCChb9aQcyJw24muGXkIOWy7hUDF4FYBjXRmO22b92Qt9LEXMZiezhwR+UQIbNJXFAzGrRU5Sv6eYG3VjdJBVcFnp+Vbt2/UxrE2z5wvPwjR65n10zZPybPMrWcAsLJq6CGE9HCOJZFvvPaasy0BCajLsoBgWEUr5coq4fmwRRs2uJ9nGSS/v7/zYPHZTppI3JbBcX4+e/vr+IknzNj6pYKgvjQY0E4KgRl9nnRSYERScOF7SGgjNH9sU3hu7PUsgRyZTenTP/EYgtjM0L3dEVa5mWtS9zpRC68NBwCAKJCoeI9SKcS0e5Y+oBIaHjfA01JjYhN5505jY90kZYY3zLwn3QqCwa+DwQhPPvt+AMD1F19Cg8ljyYAuDgdostN0p9vD1HZjXe3jvN3k3blpBxEx1+tWq4UhEzllkaMW6aoPeu3Yo0rIxJFT9RGzJh7+08VBjl8Xj//32yh8rUpSZXxh8CZ+umn2L36pEXJ5DRj083WAMRO+YVrBVuH14tg1WPGtLknhyMTDMkc5NvP42MeuznVpZ4wu9a3LkrZ23MIrowEAoOEJ12ihFArklQfVB5nWruNwpoFBan6HUBo5A6CbpJ1QSmNiu2cL4Ujuy3ECwaBGwe600EDPUswojZDvegqNmEGklGXinufVGuvUHOtvF/ASEmtrxjaVeeq6nOdZAd+znVHZhXkyPibQcVSO97G0nh9XJxqEX7z2Z+58HZ+4YnzMqDIUMwCwzlLlkRIu+F2lBSak/ogCz5Gpa/o1DV/AttxUWQKf69zTH3sM/a6Zx60HQ/SYmFthUK3TbONbbAjX8CQyrrWF0uASaxsUoiiUSwLuVQW2J8aW9D0f5zmEFZ9nX0pI/o4gqyBatg2oh3DDgBQaa2aP99hXnndr+8br113pqldVWKcP7SgZBNwaJITAAWMCuU0A2JOOjrdW2Nk165/WqOmKevh7CxRFgGs2JWq+Cp9XC+H4bqQQUDYBKWplsG8hJ0ZGr01B6v8JwCcBvALgf9RavySE+H8KIX72pO67lKUsZSlLWcpSlrKUpSxlKUtZylKWspT//5QT5ejSWv8agF87cuzPPOLcH/03ubaBdxPu2ojxK0SW/Mk4xIjk5bJlYqXDyQRjEhdmHhAQ5XJdabTZHrbbM9ctmjE8toldv7GF6EkT6dYhcOe+QQuIQiGNzP12LOIrBNKCmUclHEKiKubt3G1p3mrl4YAZxN07b6LZN5mLIozQYhvr1g/9OABg/MlfR6dn0DFoNICbJsN06id/Ai//a1M+ts+Hb89SrJ4xEMOD2QT5vimTe27rDj7FDIMXMauQpw7dMJ1MMWPWQUj5ULRdQEAwIyKEQGGJ9oMQE34vkh6kzW7zuq12m5B9YDYbotszzzkaDiFtuVrTPM/K6hoUx+TgYN8hxcIoRpZaBtOTEmGQ4jbzpjV+lYSyf7wRIqE+VR2DbDi4O8PAIksCjW5houF7UGgScrxKOHsVx9D8XY0bu2g/ZUCMYShx74EZmywpkPvMBgzMb92MNArqU6UEJDPgZaHhEUTdiRT/CxBZi11dos+s9sHBFIln4dvMUp3eREQ49pknn8Lo0CAzpuMJTp01Wcyc2STx8isYEElRba4jZsb6UAK/auG0Ng3hea4JQa/XR0yS68ODA+zuGCjrYqJlHr1vswzG8+ZomTzLHHrLZh4M6k6579mmCdVCu/faTY4taVQ4Wl54oqI1foPP/IeaAUqiY7yumaP92xMccm4zodAj0msbCk2WCG6cJyIwDlEyq5Ffe4DGYysAACk1draN3mSzArk017gzMfbmfEOgIAFvo5Sw9RwqBxRRMxERioHSgM0m5Sl6LCUYDWaoCIueMVPaiiMIvidrZ89A2bzJJEF6YOzCPrODl1dXkTLb2FhbRzJmyazn4x+9/AoA4P6W0ZO//3d/qVZ2Nofu12est2J+u6rKuU7UzvUC35HNQ9eoxF1C81EZz/nfVre1Uq500JNzQtAsy1AV9QzXycjBwb5DhXY7LfyPIzO2f6zbhCYawKc+Pbg1wx6Tel4AbCrzj4mv0WUb8wbXxSqKHMF4+doDtC73ARjS5ntb5h6TaYHYM9c4GJm5VtMpcq6nzVTMS2u0cG2qbZlHuwByi2hGiYg6NBylNTJxM0/NOEC1Z+5binl2MYpCTIgAvEki8cuNpssRKqEw5bnDSuHXy6NzUptrrecoLEtauyBy8ZiD2R9Bguqjn9cOaj2/xgKs3p5bR13USkx0he9OuZDNhgJfJPr9h9oxPL7rmv7K/b1DjFmm0Y0k2pk5vucBDSJsLNqv8EKHxvGu7aJ32byfQincv2dQKjfvDfHs48bXeWPXzOPZGXCPZR5Xcg8eM9WZPyd6Ji4LZwofA07djq9xhk2DdscJDiJLwksUYBCgzeE+DH3EtAVrvTaKkVl3r9GvuBI30SbdRbjSw4zX2B4N8U9vmVIP36Kt6qjyWqMV3/dwwHI1V86/UH4GHNIfgxA42N3mnxKpnrrj/MPZP6XmyGVPSlR8wRxxr9LO/tnyIneNk5ajJd5C4nNszvQjjQAV0XtlZO1HgqF9rAjoZWygEwINrlV9tryXfgQCKzC5vo2zF40++dB4wDLGyTRHzHk5GJrvX2xKpEQZRpkGga7IPIlQWSSrGa9uCsyoXFWo0KHV2jh/BQ92TIOUC+8xxMrXX3wRZy8bZPaKKjFMLYIwws4ts5Y99QMfM/cdjR1KL09nGLCM7SAO8cvblr6BQyY00sToYZomx/tIdYTWd4KEqSO55jf6Dr/zqA++CyLg6E2CIMRvc4z/rWYETV3yiH4a7g8xbJkx3m0CH9YGTfd8miIk8rzXnS+EJX/H7MYuTl/sAwBCD7i/ZWzBaJpC8pwxeW7ONICMTVVaxbykO/UlWhZZxgHzc6BoWNtVoc3ySZGU0ESIDSyRvO+hGLAZV+CjsmVYoY9qaHRhi8jn1XbTNSgKBXDAkskBgN+0tCT0y5PZdE7joHVt7Tl+DutHczaXGY3GaBKN5EmNgi+hdfOVEnPkzUNXs/agjiqr2bSF0+WRc99Osc8yv+cXicz6schHk3uTsG3WrunuAGOW5VdNiVXjauBQA0Fi9HHTokuDEBnHZHZj19mlRihx565Z56azDD4RpmMilDcTDV4KjUJB0zCNY4EOdSymDy4LIKcuDYXCWs/Mx3QvxRuhsSUfisx6tVcqBNI8mxKlW6f6foT+VYPWXt1k/OBbryIn0jTUHnzun3Kt8Yv7i42/oLUjj9da4dXXDJWIJzBHGFvfR3oOdd3t9OBzLPf2B/PriZpfxViNqY6g7tcqzOqUEQvCfYnSNSC+rj3zW8iJIbqWspSlLGUpS1nKUpaylKUsZSlLWcpSlrKU76b8L9Z18Xcni+mH2WyKL5Ob5d85dwrttvlZm2wTe0VEkKz9vht6kB3z/WRaoMVYnyQPUxAHaDAr1T3TR3rKcCYNtcTKKRO9LdMCA6JtUvIBjHoaE0YqA60dSftIpWgy/Bgw+zeUFXZn5tx2I8bV9z0LALj+wrwd5+bp1wAANw92cY48KqvXXsedlwz64YLnY5W//9KmqcEdXrwIxd/ZyUuMmZk821vBi998FYCpK7ZDKGyLUuk59EOr0XH8N3VSZou6qarKRYIhAM0sRRh2XOtrW+O9v7vr0GFBECBnhiaKIqTMzCf8b5nnGJF0vL+y4rh2NjbWcf9evYfBSQijyrXA8PNETQw3z6HFOv4m9emdInT6tC0lGk3zuZdoxGxXrBMzvyr00eR4hud60FafCo3Wivk7ajQwIOvvbGh+96APTGr19h0S/uV+CUE0RWT5ASAwIJm973lIiMLSWqBrOZ2YKW93uhjNDDfJ2bPn0GZ2Q44SWJKBVbb1zn/oY7jx3DcBAE9Xq2iTY+QDH/9hfPGL3wAAlIWZv7jRcNmEKApx/qxBFg4OD+B5FnlVI4V2Qz/PaE4nY8fnlcxSxzfQYGto0xRh/u4/Esl1VIQAKkuWL084SXmEO0NIfIVkwz//xEVkREs0981vflrGEHwHhpCImcmRCRzHVGW5c2KNDjN6jcfWcUg7N8w1miTzDaMYQ/JZJOTlOpAKM46VjxKn2Ha4CAvH9ahs5ltojKi7q36EfEYUjxKIWMef2Qx0luOJx0y/EU8LzJiNnTzYxtqlywCAB+QlmLabmMVmbtcGQ/TJxyfjCF8kR0+3a+a5LGOM+f5HjdjZCmCO2BqQPFMKjZBcPEEINKg/ZVkawnkw+2NRYc6m4Uha6GGlsIhBrTUyy7VTQ/BIL3iLTPjbJMIzSEZH1hvjGySC/4NnV9GhPlXUp6fCBnRJXjVISFJ9yLTGY5XOM2qdxMzv9HQPik03BiXQIm9WEMeYcK3LpgMAwKGuMGWzDk8rbHL806CAtplRjnMiNabUX6klEs6J7/vQns2gG7s68j20LbVVUUHxWlGpcIrI35jjnEqBwiKHtUBM++b7Hr55v0bIba42/1PWc3u1eXeAP2kTh5CyTpD6iAl2l/bmKMQF3gg9514q5hlJe67QCgtILyFxlOT77RFd+590R54bDAAAP/n4BVQROdzYEv2UiFxr+zAQaHTJ1zJTaBDplTFTHoQemrbhxUYHjTMGvT1RQEhumiuXTuMuM9zp1Jy7o0rM6G/dKjO8o9c3n0c5ZpzTgBn0g6rAMKWf5kmM6WekpUZMdOBsap69CANkRElHlUYRk7D98mX45Hnb+9wXzPMKD/eog4+dO4PQ2p679/Bl2m7LHXR0TO0aJasAqxsGrba/y+z4QqOBmg5qDSHnbdUtclG4c+u+yFxH/SBwiC5JRESn30FBPtM0Seb2bfExT1DEwuv13KEZu5+4ehYVfaF8ZOb6PHwI+plpIBASkZMnCg0uRKVFkAQaKzMzv63NntOnoRZods1a5zVjTIiGSKfGpzmUFabUC08prBKdUgSlQ717RFYkQmNAsvkgCBATCf+lT/8O3vGRjwAA7t27CwA4/Y534MErbwAA1jdOIWKDqGz/EI8/dgUAcP+GaVTQlR5mlu/Ja8A/HJjf9mALXyK5txUDvOE6o0ocj2SonXys1FGg+vj5fhS6Sx89dgSFswidODlxyAyuNVmCb9IX/pm1846HqBoZXb+IEHdYpTJqebgD+rwe0CKi0gIctVbosbFTY60DuWr0Z1BqRLRN/SjCjLo05To39DRS6utEK2zSV66CCqVttkR9LQBMaNs8ISCIlD3IFXrkTbK+VCYrN8RRXqC0HISVQkD+U9tveSiAGSfptJZo2fVPaHz5wNimqrTVFSDHKLi+HIdYPzLkZoDc/EZx5FCqyax0JPVxRESd57s9XZ7ni1fTtXXM/ndB12qfn7Q+2Wfi/b7Od/BHr56DYCOJZGj8pNMiAOiXTGIPYdvyhCp06AMWHIdIKazw3HC1A7AJ1KQCYvrgUasJ0oBhTL7jQFfIqUtjaPSJRhZh5YbCVmsUEhiR41tAIaWPVkDjEhH8Y9r8s76EoC+mTp3CiBUWjVxhhZU02YsvmxsohbBBHsE8dWt7JAR+h9yAc1lElk+4PkZx5NB4i81TyDlWZBgMbIzhyPpn/SrPspJp+ORkLet7Oa0datARzWvtqiqKopijlwXwnSxw35uBLjeA85foLl/60TNXMOKxLgl1x3kFi4OORAVJpyjoBWiPzAQNqPxBHDkrs92NsEJnaWNtHeU1s0hNgwg5Azyqy9K7OETObneNyHdOeiMNoCxBLzF/fjvCmS4DYYnCZmQW8WIyg7p4ydzjroFDn19ZQ8rOeC9+62WscFP4xizB1atPmGdg8OvwlZfRPGUI6Da8ALe5GXz+zVvIUtuuh4YrbuDMOUOIenhw4Bz66XjsygbdHsDz0GF55IP79xFzoRgeHsBncCsKA5T83srqKgDgxvXrDsKttHIVLtPpFC2SnFvIYxCG6JHkfmV11b0gd27dmgfWTkyO7lYFdmdGiw6aV3GW5Rk5F9ZxDmjqU+BraJZehE0PkqWwByzXaTVi5NzIbJxeQcSywN7qGgbXDDw+0QEyOsyKBrDfiDAZmzlrxwHCNh3jSYXSGgESrXrtCH06cfujwsV0OjJCV7ALJBevhhK4RAh+3GihT53ceOJJXH3alM1OP/VpAIB/7hTOHlhy72u4zaDuv97awbvebSD9z33DGLXxdOoMX5rMMKaeJsmMASqgwc1qo9nAwZ5tiiDcYtpqd1wTAiGECxYXruvm0bKetzJwdSi1Rr37C7ebb/Hd343YzeRctriI7LcibBIuXVgnTWrjJQGAVI5g2W95EPzZYxJldpsxchtM7zWx1jTXWt/cwOEbJhg8Uz4CLqjttlkUu3GE4SGDSY3Q9idAmShoBtaImkbYCMF9BDQ8gAmAjvZRkSlft+0GJsOtz5jN4qkPPou2MA5deOoM9NDo7qbtOhZIbKbcuEwT7LBhxaf7fUe8eUAbXi/5EUIgDM3vVKpyG8vQ6cacBD4MI2fHgjBEiw1DxuOxg+YvOlj2JscHF47Xu/n3VVXMy7VPSgjT7rvOpbuwz/2gdQUdrlst6tMBlCshk9DIbdlvS2LCQMsaDXEoQqRMdgSbHTRs44mVFexdN7Yp0CG0tU0s4e4GPka5SUo0Ig8Z18tyVrk6M8+WdMQhOtwUHKQl2IMFXS2RslwpYZm3TkpgzARI4GONDlymFHKWLp5l0HtfCKzTbnS0xhbv96Vc1wh56wEkzrVSDwUd3EDD8Mza5W+hhP9I8OqhkgxXdmiP2uSJdkESG6w0t3eL65HrnpRdEnh4nZvbplHjMZy2ukT/aDTTiAq7eZPIuIlSDYGcpRd9Bl6a8JBz7sN+C4rBvXZnBdVtkrMriYTrZpfr3EYYoDMwc95vtWC7wwcjBb81D8gBQL/fAri5ujvJ3Dp3CgFyBuenoQ0gSbSE8U0OyxmeumCCEVmSQu2Z33yu2zdjMBvjDCP90e4B9CXjF33j/gNE0aNpE1rdvrM/6xubyPNjEjlOJWrlGEI6H8sPfEdp4eRI3F3W9NUmE+1aGkURVDVPTNqNQRD4bmN1coEuPmgtKLfDjd2wfQWb9L8D2v2iEq6rpqeBxDdzFrU8HPBRN2xgtRCYNEnNsNnBKgPv3f4K9m4aP1wicHQXiqT03SjErDBrXSP0Udm4dlJBUK9tqZjfCLFG8z1MgX/vT/5pAMC9l16GZ7uJs0HKzRt3cOHxpwAAo+kM60w8nv53fz+GX/wqAKBHszPwBc6vmqDnhY0NfOvA6P+n37j+UOA8DH2XkKkfN3I0yFQLYtVtyLFk9bUjYv7u61pQ49hyxkeVOLqA10llCe3G1lxfqQpDvlv77RDnSOrtUZdSDWjbHGMKJGz05TcFtpk0PsXfKZXAgN1xe2ttdOkXdLo97N02wQBPea4btWCwqRsFSJXxUxpRgJw+gkgq+CyVtsMRNEN0qUt7kwptz+hjL6gQSmPrBmSwL2Yl2vSrBr5A1y5XRYXWyKxzPSb97kvgPANwHaVxyH3F83mJgHvTqkw5Zph3qTuWgP7ocSNSmOQ0AEynYzRis9crlXaB81n6bRqB6Xq52aMCbHUS++9GoGt+/x1S6Iw6EeIWu4fzvUv0fD8XFgoJny1qShwyZrPOcQiVxJT+RXejg07PzNNKdwW33zQ+uOeHIKsMWvRtWnGA3sSsJVHou0BONSkRscmPJbz34gAbnOeqlJhMzf3OywD5gI3GVugTz0q0cnPubDLD5VMGYKA6HSTcu60z+YDABxhsRaUAxij+fpaicPQTNlAKBPS7r165ghtvXjfXVQo9/uZLF0wjqul06gjos7ycA17KeuB+XuZfcb0SQqAs6mCFuU/1kJYKUevg6GJtpoxRfXufaVm6uJSlLGUpS1nKUpaylKUsZSlLWcpSlrKU7wv53kR0PdT+dl7a8X/5wjfwM+cMCdv/jSVladTAhfE8pje2pOe+wh7bHU8ZsX7Ka0Mzk1RMM6iLJpN0cLiPlIi73Xu7GBG9tXbelHO9MU3BijKESYGYBIT7ZQlBcsMOQ/5N4UGxLfylx96FF79uysA+9BM/A7AM8cGDm+ZZr70JHJqswqknHsc0NaVAYahxl0TitlXtRr+H668YdNeVx5/A3l0TYX5HlkKXjOSKOZFymphwtef7GFi4vRlO8x9HBhw5QnHP8xw0P2405iWaozE2Tpks1ohZ4gsXL2JGlM/B/v7C/Szp5Hhkzl1dW3fzKoVAxnKlRquJ2dSi0U5KbAr14QzZf/ql5/Hjm6Y86z8kuWXebOICSec1gIqIhaEoMWSmJ2Gp04YPeKy3KacJOleoT4MDHAg2NLh7iBmRDP1zKwCAa5PEAX2iaYFWk6UucYgJs1OK+hh6QJExMp4pVFMSegogqwbme+zLvnHpGQTMJlXbezjdMSVk0c/+HF7/Z/8cALDCFuGx1vDOmTktBxP0++bZPnZ4iF9iyeITT5ks5+DwENfeMISFSikkLG8LgwB+aDJoJUsKDJrLIvkCxCxpm0wmLntdFMUROD3wcIbouIzmcSJqiC5jLfSJZSYtafXDkN3/6DNfx0+fN7bpP+iY5+m0W9hkiYbwAM1yxT1ZQLPcJiMaaVO2Yftal9MMrTMmazg43MeItuf+vT2MqUvrZw2y8vpohpxjFY4zrLGcQ4YBEouaIZKk5XsQhUUEKYip0ZVIBphRp22ZJJISDZKkJy+8hmf/vT8AAMjHEwxZPltQDxr37qPNZhSTgwOUJCW/vLMDwSySy+dI4Ugqk2TmUApSSke8nNeQXCmfq9PtuAx/lmYQ0hJF+xCIeG2+n0k6n6OF5gR1uP3DZRtx3DSkwTC20LXfPg7N8TZJFEWYzeqE1UZH/pPPfgs/dcZk1f7EmjEGvW4bm0SYDiQgWGK26xWOQD4hUu0JvwF0bC1EioCIrsHwEJnTp11MqE8rZ837fyObIbOlgrMSjYatCfKRsCxSBMy2Bx7KnBm3UkFRn9paIqPurbWMDTo43EdABLCf5K48y680MmYDx/RYIq3Bikq0hAdBm/juQAIs753PmzLoRHBN04uoirroqjpypG5jasT0TkVqxPY1e1UvIZv/qY58xzyP50t3nqrKEyrrsM9/hGyf8p9/7hv4cdqmP9IjsqvdQmfMsvJiXiq65xVQvMaUqKF3hi2INp87KdDumd84Gw8x4nzsbA8wY3lj90wfAHBjPAOXT8hxgjFLvnwfCLlO2c4GvhTo2DL4YoaIa55faaTMEkcsP6vSCsozz3NxdRMdIksr4aGKbakffbjAh2fLMaZTNLjOfXilh19NJnz2+VhJ6uh0PHJzdf/u3YftxkNICiL6ICD4/pRF4WyIzXQvQLqEcCVYRVE4uwj6UkEQYEK0ArRyd8zz+vp5grJwj/m79V9+/nl8/PRFAMDvWzG/L2w10Rmz9FQJ5Myzz8IKGZGlFW3CU/0m/C59gSRD3DXnDkaHSHjL+/f2MGEZ9+p5s9bdHM8saBReWiImwkVKHxntoke98H0gzW0DnQ3ce+Oaec4ggmwafTlF1PT2G3fQj826d/7UGRyyccrs2puY2OYXPNfXwJDzI66/iQFLy374savAN77GexNV4gXItS0Bq897rfmFUyPxqCq0mszRx3ZqpOe5a1SqOg6cPBetsNhAw33wXQDh1JoNQTi6gP/i88/hh89dBgD8XI/0GJ0mPKJ8IyFREaY+9SvkfPxdogcvdiII6k+VZIg7pA8ZD5DQjt3fHmI6Mffrn+0DAO5MZ8j5fnuzAlGrVprOagrtE+lTW+d0qVCMzbX8AhjzeMT9g0oS16BqLasQerZ5hUBO/2+ft+pAzOEoYYQm/Z53+z5CNhLKuVgrrR6B+Htr0RCYUV+zQqFgJdDiMlRHQc8bQs1PqlOCHIeYrl1JAF3uOw6Hh9/RM/4biUVXi4XBAGDs0sdol/7tVepSq4EG1zEvF64CaxxWyF1TOWOXnu40oKhLZZajzT39eDpyCKlb9/eRkXl+hbp0dzRDQQRiO6vQYWWH7/nIuM4RoId26KMiwuwwU2jSJblUSewRvWTL3YOsgqS/jsEEnavGRiVpjoRNCp7PjO94tgpwxlYglEBKRNtPxxGcz1TzYWxjmLIsXJlqo9XB7p7Rj53dPY6udpQzGxurGLH0XySVK9GvygKqMvfrsTosSTNHk6SqeTmv5/vGTsGgDQFA6cWqCltJoavSxX7eSr43A10AHrK6810SPrVrODquPmEct58tCmQdo0UTaJyis9DNSrzaNH/3iHGOZznyVdYjp0DBgJQf+AgYLGisNLA9MYah1TeKNRvOENDJ136IGfWp4fsQLD2yHciqHpDvmOtuvfASnnj6nQCAwfgAQULOI0JXu8+8A69/4zkAwN6rb8DnhqcpBUoai/f5JhDz+vVraLNzXpSkuM7OPl8VAbTrYmYdeeFKM2aTyZxHqaqccfIDc6zZbmNC/izpe7AVtp6UrjxoqhV2tg2k3EGxtUaPTqPv+9jZ3ubnOSzlxSZLLT3fd7w8k8kEMTfjh/v7rkwJdYT32yri4ao4iicFfof6dGnlMQDAj+U50j4dagBdGv5GUeB2bPWJzt0sQ3uNJXtjYMYglEKIFktFumttbLPbyiV2f0pHU8TWqfV85KxlniU5PH6v8rjp70gcskNfmVYIuXMQnoay3HPs5rf3yktoXTXBqf7madzjwnl+ZwdP/viPAADu//L/BAAozp1GzzqHUYA7eybA+c+HE3zhm8Zha9FpkAILOmQNUdRozDtoEtKazGaQtGBhGGHEkkhAQFlDe9SBdv/V3+bv+tdsoOLopb4LG4CHgvFGPnnPBKovvetpAMAPZzmSVaPrulBoSZa0lBI77OzaZURTTjMIdv6UlUKWWv6cCDF55PrrLTwg/P0SSxeT0QwBuXQ8GaIkF0+epPAtpxz/m7UkZnssV8xKNOh4KaEgeT9Pm2dY2QgQd00X0c1GD7cJb/7A/+6P4xwdg+nXvgkAeP7adXQ2zLue3L6O5KqxWZ/bP8ThkBs1x6OljvhKc16ah3v0zOd+cHjoug5Beo4TsdPtYTgwi7MvbdBMuGCn4bWol4cs6kcYRmjSzg0OD+DZxbsqa2VyJyTCQMBtCbgRW5Ik8Fu0uRf6lwAAn0gztPtGn0IF+MrYhX4mMGWJYYvjHCY5cIodlhIgY+BAxhGijtGR3noLO06fjB3LRlP4dNqE8FFxnUiSBNIGbSy/XFNiuk9nZlaiyfe+GQduKSppE8+v9LC9OzDf00CbQY+ZzuDzmTfoAO56Ah2uaTOtUfK6Xyk05m7NnJfPzehCierDdkDX/h8Lf9fOFTV7ozkXdU4UPT/f8/05l2DNibTdhtM0dc4etILnB1D65IKm5nURi/+mfHrLdBi8sGZs0/urAjE5SKJSw+fb1y3gAhM9bdYVf5rBXyd3UiIwIZcW4nmpSGetibssoT7D7nrTUYmI68MEntmsAZhOczzVM9fL6XAknsbwkKXtmULMd1n5AoLlHZK6FEMgn5l7jeMGvNvmt515z3uQCnM8YEnHKJBoW46oLMfWninD+PxkhuFwkfJBCIEzZ01p473bN+f8WqhVhB1TKiSkRH/FBGOiOHbJQlUolLaUw31Ho85nY8tcms323GdjAjHLclfocfr8BbQY0Lv2+usnFDCtCze6Tq0XA6ifo990fs1QbLyrLBH32PGs0oioT6KqEPO7bepTkOSI1kkwONMYc+MYNBqI6ZP0N1rYZcJ5lVxLu+Ox4y6VfoDCt8GAAr7thEh9kk2J2Q45427fxxr1KT59Goe7ZgPe2DAdy55+x9P4+r/6LADgB3/29yHkuTe3t1CSY+4ig+l3dIlTDGQcDocYr/YBAL/6xa/ARi1soEtIgcUOdLr2d22cj5W3nt96Mq9Sx9m9474vFvWmztFVS9qdnBz3WzU+t2106XTf7OneneXQtlw1DAAmjVVVgRWzaNpy5KxEEJp1DlOFMROL2g/hE5DQW2thh5xNV1iivz+ZMD0GeH6AkvpT5CUi+uMV1zvZkEgmHONUoWHL0NoevC2TzFcw9qwZh0iVWZvEOEXeYULTFyDuAue5zu14QKPTN98TwF5m9P1rJZAkR3kDj0nSfQeitZ53cxVisWR/ftYxhxaDok6r6qWxx3C8aa0xZOfbE5FjA7Vz+cK2oWU4v2ooXJ7KC8QsV20rjZJ2qaoyRDbgSN43kRVoMeCtU40Ddp9vRS0Hblldb+PWbeNvrlCXdoYlAtuk0A+grM+UpmjS9y58m7nzgQF93jTHjEnUnaaHYsig6Zg0IIHvqBHK0RSTNwxPoP/EVeg7BuiyTj+powV2GGwKPOG44f77SYJ5n+y5Tllu3OvXr7t5TKZj17Xas+uvqkxiBaZzumbSUQqgwwBY4XvkI53TcMwebKNlE1OqQkb6jaos5gQzbi6VC7xJP3A84HgUr+ERWZYuLmUpS1nKUpaylKUsZSlLWcpSlrKUpSzl+0K+RxFdzK4d8y+tFSqW6X3gHCOvuzNU/KktVSEjEuawKdFlCdHGASHOq9LARQEUcYjRDsm41yI8IBxVFQoBI427+yZaL6sSMUnlMs9HwEx/rktHuEaAAbxxhdNdk1YaehVe+LJBx/Q2zgKnSKD63AsAgJuvvYyNdVM+lhWV6+C4d+ceYmmygntrpnzyid//+/CVv/1LAIDbuzs465ko7T/Y2YVkxsNmkk6dOYvdHfP9NJktIGgsgipmh4ciz11Jma7UvCQoCFyZYqfXw/Du3YUZOTw4QMhrGOTXfMZsWaSFPN65dct9bzad1iDMQG47np2QCCEgPXmki595vkrNf++7zxq0FQYzeIzwS6FdIci4IdEjgW5zxMxk30OT15KtEMmeychUrcB1WhyX2iEWtgdmPIUqHTQ5jBqYUacLTwPadhXidScVLq2acd7zPdxm273uwQQhu2Webhj0n9fvOrSg7HdxytwO4ZnTwLaBop49fY738pES/h2cOYt4arIwf/6NV5y6TEg+ezSqfvacQRZWZYUdZq97LF2TUs6bH0yn7rsG/WAREvKhyovFRFOtPHBBxOIpR/+h7YVOIjUp5llPUUfgKHdvwffwfbRN3iBBSNuk4sq9F2lDoUui+HhEXWsKhMz0pXGI4oDk/w0fh1aXirkuHbJzqCxKxHzvo5UmshnLCqVCwGfzSS7dSCXet0rC70Lhzl1j/8JxBsns+MXTplxO9jvo2LLUIEZEBOK3/sVv4BybaiTfMt1eL527iCERqOEH3gfvdVPm+mc++9sPZf2ElI4RPAh8FMxYFWV5DMBmPo9BECLT5rdVypQTAKY8et4Ug5gdpVxXxfJIN08rdi7yPHNlRVJKZw+g5kT5aa2U8u0VgbIosLrSBwDs7R+47jN5ljsUxUcvm8/9UYIQFqWnoLVFvUisMPvcnZDYdy2A4LyrVoic3XJ0M8CAHaQmJRDw9+4PSGpaFWjYDn3NJlKikAuhEUgiayyaIBVYZbnJKJQYbBmETLg3xSHt+qmOKdfX6QznmOFTG5uI9k1WdKPZdGSptgPfSqWQE9maCYE2P/+72/fmaIh6ZrdWxghhS0WU6xRrkXkGfVrThfo1jqIbzEF3bBGEyox/jfy+XtmRsFQkDKN5R08AVZE7BM+JiK6XYIr6U7mOXc+eNnMQTzJ0FN8RUSIniksEHvpEDW9OjS4GKwF8a+ZaEaYDdmRq+Dhkh+lJVrmx2DvguqFKaJKEe80WJMuR2r7AlOXxoZ6jMHsbRPnJEtk2y/1XT2GiDQLHm9LmnVpzRPqN9VWsrRkdSwGHyPTZoepU1EFFP2UigRWWY/+333rFET07/1Ip3Lt9k4eEQzFLz8c5oulv3eLnNYLmbrfnmlu0Wk0UtY5lUloCefte18qqAYfYmozHc10S87ISS/47nUxcYxff9x/RKfLtFCIbtVj8N0VSz95z1qAlgkmCpqId9hU0l8gg8NDiJTozNjdaCeFpa5tiJGxYkDdDDBLapnxOvr9Lv0nrEj5LqUWzhWxm9KmEgqb++vSbdC7QXzf3G8QC/8Pf+TsAgD/2n/8CVn7YVFmAqIaXvvxlvOuDHwAATEcjzCZGz1a6fYzum5LHkqjAK6c2cTA2tvJwbw8e146/ffeWe90ssXKeqzkSbsGuwP02fUyjlIV398j35kJURFVb32rVkYvIZWFvChxnf74raK5H3UBgfc2gIT9AH1xMEjQqq0Aaiu9ALCo0WLLWYZ171A8gLHq700A2Me+F14wwIjBkVs4RKnvs9ghdQlhIT6uFhB1dVVXBC8w9YtomFBX6pA/QscD4njm3vT1zS0/IEsZEmtJ7ACg90x0UALyiRItz3qTffa7SmNKmjQXQo8/y+pULKL5kO3jW5+5RaL23Rr1EpA/RAKZT24BjQVlqlzoGNVZHdlI8KR1SbME2LDR2OQk5Todr7xU/e/aM0SU1TdCgMSr9CoI+QUtUsKwMzZk51lgJQTOCqhkBRC5nosLIssdg7iPukZpH6sp1Dg3abe57jH8Q2r01fZtpKhG02dgpiOCxkkLuTqHox5Ys1R1IYMX6zdMxugdm7Rp/6jYiIl+VNNeK/QATIhGVlGjxnfmFG7fgqgQs9kmXbp4bjRaS1Hb21PDZfb3edXNe2TDXwUoLDNhQLQwC12hsesfECYLAdyWzWinbqw8CwiGl641O7NpWKQWoWkd169Pj0bJEdC1lKUtZylKWspSlLGUpS1nKUpaylKUs5ftCvkcRXSbb0SVCZDadzHkuhOeyXVuMUl9+oo391wzvQh9AxCx2dwRooq0Ki2IaVEgOTbRwdrGNBqOXzTuHWGNmJW7GGDOy6m2biOWurNBYM+iGuB1CsQ1uoxEh5P0SyXbqhUDAYuy8KjBi3fWrr76K95wzRHn3d0xNumg1Ufb6AIC1jVNI//UXAADn/AiddcOPE5M/Zue5FxB2DWpCJDP8DrNR7bU1DO7fBgBUjNzu7e64capH4qWct762qJuiKFw2UmuNzdNn5ucymjo42F9MWQO4/NjjjkT5ytWrWCNHxVe/9lXH0bT9wGQlOp2Oy1xUVeX4nFSNWyBfaEX69olBAT7Mq+E+Z/T4HtEblx9vY++aQT91BBBwfpsjgaklBiTioRop5CTmLi9HCBldl3cP0ecYXOw08Cp/r7drdCEJAJ88YH4rBGlF4MXa6VNJZKLQHlJm2HNVICaJucw1BLmZHuyaunRvMkA3NJmM6XCGMz5ZCLIKmDF7/RGTuQzeeAOTMyYT3nnsCj5L3Vs7ex75nZsA4BoMLCKsBO6SE6Xb7zneJIv88HwfFXUe1TwDoKs6N81xhPG1DNMjSVNrsqCPR7KfJ0ZGDyxmwhafR5Nk8QFRA5ce62D/+j4AoCMFgpI8IWMx53xg7X45UpgRdYPLHUREbOrbh+gTLnqu28A1tooODsy5iQf4K+RiavgQRDroQCNidtvyuvX9CNepr20JqIYlW6/w5LNGL27vmoyMPtjGD/+B/zUAoHf2HCpmaga37qBFxMbK+94LAHjtxRehDszvLPb38Vs75v3xghhVsYiG0ko52ySlqGW2jxtq7RpiJEnqiKKhSziqQKWcDloSaK2Va45Qz4QKrRyiZq5/2mXo4jByjRYAuDUo3T0pRJeRHbJhSynRatA2VhVKEh3foz5debyLHdqmNoCA3JN+IREwI9biGAWHCoOBsc/qchcBx0bdOUCXf1/otPAqM5yS+lRIDawZfWq0IxQ1ZquQ+mTJyoXyUNJeBVBIOD2RNCTCADDjO5Go0nEblgcDSKb4zvshQiIhJ0TsKc+D5u/xBPBJrhPCC6BtanCBdH3+t0UnK+Et8GMZqb23D2We63BC2h4xt0d2LZRiTswrIByjqlvLNBzfRJZl83sIEsWfSLLbPvOj11CLHNmiXfnolQ7uv2lQdc1KOfRCXkk0ua5Yu4P9CiPyTOqrXbfOFfcHaPOU0+0YirbJG5n3RQtArhtdCtoBKj6DroAp59Gz60Mh4PN+UmtMfLvujnDxovGbXn/zDfP5cIiyb/iVonbXIcu9cYI2uUCKcwaZms0m8C1n5HCI37hmuAYvPv44brz6LTs6bhgF0bpR3HDod+H5KKmPK6sGYX9IewcA49HIcZ7evX0b9cYGdk3IswRzmSO3rD9W923df6VESa4eFYaYkpjer6OjTww8oY9Zg+fvj7W5O9SFD11u494NMyZhWTlEui4lQurTmiUZPiwxInF9fLWHJlF/+b0DNGmLN9sNqIjcMkSxaw9QK0QktgKH4PUqjcDaJmkhGZ6jfVW6xJR+3pd/7V/iI3/ifw8AGLxk5n9tfQ0p183BwQFa5Ng77YVoe0an223y1QqNgr7smh/gn5LDy2t2UM3M/HTY+GM6nbr5166RjRlHx3W0YB/s5zUf45FNB+w6Nv/bHKjbuOO/c+yHjwB7vX0iHLpR68WGHgf7pipgW14GAHzw8gbu3TQoziAr3VoBIRHlZjzXLbJ5oDAlzySudBET6Z1sDVyFzKlujJLrqiDiS0kN2TXvd9QIUGjyfOVwqHm7DFSldLomdYWEtimOApQDowsp1zYRhEjI/SfzEqR+xukgnPMp8dhBIBHwuoGQ+CxRg8+/9KqrzrGNvY4bTyPfvoLhwgVjC5977vn5weMcrrpK1D5ut1uOp8muqVU19+P0MdynJyfHrOW198bq1Q7H+j0X1nDvllnnvLKCV3IvBQGf1zrFtU+MlGscVl1so0vEX7U9Qsw7bHQaKEP65gPu/TyNVpc+eODDj8h9qYTzBTzaJVUApa1T0yUyNjgr4gCzmdFNyeZkgSeRsMHLLC8huRZcKTS6es7NBQBDoXGae1gohX86MTroeR6q0trxORpe1KtSiPZWusbh9ki7U4sr8NS8KN1aYWciz+vcuEcreObr7cKXgAW9/E6Bgd+zgS6tNYaDAQCz6M9fKLggyp/9Vy8CAP7BD78X2YpZhPoKODw0i01UKDS5Z5kwCFUVBWI6ehEqtA5J5l1KaLZFEHnhFP86Sx+17yOzG6dJBp+Gt5IamWeukSrbDQrQGe9RAefPsAvI/h5W1lcAAKdPmwBDMpjg5nNfBwC860d/AiuXTUnQzTffxLto6O6xS8YT738vttjFIhYaH7lxEwDwl7buus2gtF3CihxtLrb10hzP85z2WALLVruNIjfPm8wS7DA41Wg2HWy+rJX9Ba6jzLxzygvPPYcVBrpW19cx4DNn7GCWZ6krA4CuXLliEASI6VTkw5MsYXyLBZ7//su//U0AwDt+/APISZTb18CABLtRpRFwv5tacsyigM9gUktUCG23RqWguTn1K4UrNECv2q56gTbGAYAcpRCl7UIhkLB0seA8hb5GQH1qK4lZn2TjkxxtwqXHDFRe8EPs3DJQ+/c+8ywC/tTZ57+A5gdMIAO3TVAUeYHmu99h/l5Zx8eoe6OXnkNMQ203ja4rHCWMWdKVpK70wgYWtNKI+P2qrNwGUGkNLDRNOOrIiZrT9xYQexz96KhTeNIYfHHEQNeDc+bvX/gto0t/76c/hJIEvYEWmNA2eUrDYnmnxErrWQaPJjsWFcTQEksagkYA8MsKZ7mZvBUyUC00CuqSHmXw6QgKIZzNSvnqtXNgjY57McoQMyAve11HFhnTob905jyylPP+iU8g/cW/AgBY+2N/FNP/118CALzyqilRPP/xj2FwzWxC89DDD5Kgtyrz2mZp7ozYgJRx+OtjWw82ABCyBqEWtdJXLBDFz6HQNigj5qTRtVLWhVu555LOvlXlbP4EQuJgfx8nK4tOaqfTnQdnzFMAAP7L3zal7r/8U8+i7DBArgXyISPkpUbG3z6hM6OTEpobywAVosHcNhU2AJ7m2OQG3TbaqLRCQILU2SSDJFG0H0qkuXXszNcrqRCQYDpLFFok3u0VgkFuYJCbNeC0DCDowMW7E3T4bOPxCC2uyZZcOhQCTf491ArP2NKUMsFDOrIwq3Ke4KnK2hzX7MO3I+MVciHAdfQUpZULuAoB10GopjgOhm8cb8LwtQCkj6Ok3m+P1PWo9r65Mk8Pdgz+6mfM5v7xH3sfRMc453GukdE2+blyupTaYchLeAUnXZWQDFL4UBCCgfeqwmbD6NUWfaJKKcRsmJJ4OUKWW8S+dN2kdxig8AH0CzaYUB5mLO+oDlKETAY+/dEPAwAePPcCKurVGaUx3TGJTtFsQm4xiWgDTAeHqM4aeggZeLhECoYbt2/hYV2C83kAjYzlj56vsMc1MJvNA+H1IKcLrJsPeFkB11bxSKIQwDzIZa4Cj0EjW3adpwkCG+ifzVygwHQtrpfPn4AIufCsC6KV67j11z7/MgDgr/7oe4G20ae2Asb7pkRM6gqKa11GxuYsKRHw+VueBsYk75YaPq8b6wprbFhx4NM+KwWQbDwJcvhMOMMTbiNOVwmR1PBYmuunQEhf/t63XoRiB0ZBnzTyJHZu3QIAhIlCaZttnDsN8bo51/qy6f4+yor0AFGATzBx9AvJFFafBjYI6vnzMVxwTWr/OLYxz8JgP+L4MYGwo4H7WmnQ/GuPmtOT9pt0LbG96I9bvf5vv2qC0H/pY08jaBm9X1MxRgdsloUKmkHT3COIISld+bMSFdTYkmVrSK4rIRROsXnPPsOfSlUQXOfSWQ5pdUkKZAxe2tB0w1fwFd/NDAioSyKvvd4c1kZaQK9y/7A3Q5tB+MF0hjMkzZ+QZiAQAhPbaVoB7+S45MlkHuA6NvDw7fzc+bmeBG7fvDH/ln7Y5i3IMVulyWT28Ali3khjQUVV9e2T1L8rsYnL4wJe87//ymfNOvdXPvEsApLGr2rg8IBdA3Xlkmkp6/LLNEOLQaFcKnizuY9t6Wx8XWHddmtl0wEpFbQtV85ySPrglRSOWJ2MEghRoc31oZxVYA8DqImHOFu0/w3pQfbMs/cqYIPjfTud4VnSity1JdsVoJhUzoTAu/hOVVUG16FSz22GTXwlSeJ0TPo+KhdYPWZcF3yX+hzXFaC23rkpOuZz4IjNOeZ+C120Hy3L0sWlLGUpS1nKUpaylKUsZSlLWcpSlrKUpXxfyPcoomsx0mxgrvxEKFdmJ/nzfm1rD7/nnIGTj8dT+BYWKCXSdVPqFxMS6LdCHO6ZiK5/08NOn+HUNEVrYo4fjGaYrZooakoC0WZROLb50WgCsWYiupkn0GBZUDgz/+3qADnbYVeBD3JO45Vrb+LTn/40AODxSwY9Mz58FRt9g4S6d+s2VkjKOBEa++9+CgDw2D2TrQyCCNGBQXT9re0H+BsPTAlLGIZuyCzUPorjOSFeNSdNraoSrVbbjY8d796KGT/PnxNxZmnisgp1+KzNymw/2HZk81VVYYdtu1dX1zAieag9V2OO+Kkn1YWUSOoZ0hOTo9kL/fDfzAD/+r19/PwVUxYxm0yhGQ0vIVGuGn2KCH9utufkl9WNHAUzOZlO0Ns1478/TpCxfEM1zZivCaDHrMcwLSBXjZ6NlYJii9iYQBY/BQYsC9Q+oAjNDjcaGN8w+rCqzH2V1FhlEv/W7jYionTWL11E82nTuvn2P/knAIB7d2/j4lNPAgB+7f42/tK2QeEVeYERkYNWPD90CJp2p+P+Tmczl9Wxx5SqMAelKJxiKWyWpRhYwuuFbHEtM3NM1ruOlJqDgr6D0saTknpmzaTIasct8sSM+2/cfIDf95j5/elshkrSNpUe9GYPABCwLMMLAkz3jc6Mb3ooiCpUVYbWyBy/N04gqEugLq1qoGXRYWkOkIA30YDOzJy0SD7ul0CqSWLZ8tGKzTW2yhQ/8PO/BwCwQkTD/ee/ih5L4zA4QOs//r8CAKp//pto/eW/AABo/NE/bq61t48py0xeDtfw/3j5ixyg47I32v1tEBMPj189+zNPQOojaPX59VwzDVviBjnXD30UIaUfPk50gQYcAX1VVQul1Scji5nZ4XAw/0gGsD+4ZOb513cm+PnTJFnNUigiSgL4KDcNcjgnsXM3DjDeNZnw7A2J7RWDLPSLHCEztHfGCfS6yTgLZqm7uUFGA8Aky1GdNvqQZgoZ21M37CMXGkO24EYk3Xt/q6GxuWd0tinM9cu+jybRPbeExgazrGe0xuHTT5jf9IJBh2gBHLCN9Rcqhf+KiB1Au/bXx4EUtCpR0X4K6buyoUVb8YhMuL1uLT/okOR68WY2i+8t2IIaqtDeTwgISYSQKomwOinkRB3BeIzY5gukCPjMgwF++oJZ90s9RWVRn9pHSb9oPDVjGQU+qqHBN3i3Quy3WV6bZdCFOX57mkL0+Ftpmzo50OHtk1EKdcrM+TRT8ImKBteNViUx2zPXmgXCJXL3I2CNpSKTbVPiG0mNkCjMe3mKc5sGsfXgtWvYIhLk1IsGHeK1W1AsNXv53AX8xddM2b2UHlS1SEYPPKI5jvBcs6GAz1IUJVboNwkBjMfmXauKwrVa543Mf+ulapwLL5ivq9B6XhZEu+P7nvObuiurGBIp1O2vYGhJtb+rYjPt8zJLxef7nbuH+JmLpmIhn00BliNGeQBsGpt1SF9pJY6wTQRh9WYKcK1L8wyaSL3r91N0Vlg6SiRos9Bo8xnSSQa5SbRb5kHbhkwce1loTFnq43kCksjBe7ND3LtrUO0R0ay7u9uuxGzWjB1h9YMH27i/0QcArF+7CQBYXVvF2pWnAQCfvLOFP3XNlr/Om0FZJv5KVTXUy1G01VGk31HUw9G18BHy0Pt+HHqrhsiwuim8h889aVDXsTfQjsg65n8/d2cf/9ZFQ92SzWaoWJrQrgJ4fWNDRpzbXiPAwYFZa/SbKSoi6NM8h8zNOnd9mqJrdYmk4T0lLJgGs7yAXmVVSy4hSRsS2L1kCYzZ5KcZ+K4xT9LUENz/OeLyXgM+fboHZY7WxCLMBH4zNTr/0U7fXFcAOb//6bLEqf/DnwQAfOLzn8UnP/kbcCc9NH51X6l2vIbgE9y3VErg9Bn64HnuUKrlQnOuI5c/KnU3xT6PUkdAOnbNqyOiH3G934Vo1xjmrd8L6wt+/u4hfuqCsUvJbAZNNF1Hh2izmigj0rgX+9jeY9XF7QxqzfjosyIFiJa68SBBi+tcwIY5UaHQ5jxOihIB93NZWSFns5bQM4MRVgLDPfpojQAJ1+O9lkC2b2xfl7Qm3noHjam57u10hhHtlQDwT3PznB+JWbmllSvR/+fTHH96+74dMDw8EQKSe5FGo+X8pFmaYwERflQeWcp+3D3q/voj0Ih1W7TgY9Wewfnxj/bFl4iupSxlKUtZylKWspSlLGUpS1nKUpaylKV8X8j3KKLr0aK1cnXXj5Eo+Gc8gembJtNXNkP0WG+rNxrQdwxKRVueAxQIGNnPhIQmoftMKiSrrItVATwS0qHPWmpfImHdrdcMUDKLrbSEIi+Jx68UUjj+HelLXN836CbZCHH7134dADAgWmswPES3azIXVz0P8o6Jwj6+toGncnONLUZxVztt7O4ZFNfPK4HnWPv9hYMD9Pp9AEBKHoGrjz+OA7Zvf7B1HzaCKqXnUFgzIqniRgMrbG9fVaVrGTseDqBI4BmEgct02gxkVVWujXpRFOiRR2Pr/l2URLT0V0wkvSwrlwEcj4bz7HJeQ3ScmBzH5VL/zMzx5T71KRY4vGn0KW6E6EpmCk83kNw1YyqoT5UssUEUV+l7KMjXkElgj8iaSJeQh0Y5gi75daRAwgxQ3AiRkwcn0kBO/a6mZgwzpdAgsqbyBRLOydjX6JFgc8x0ZFbMEDTM83QmU3QsIewrbwDfMDw/p9dIpru3izG5KP7olcv4zLZBTfyj2WROzk0dM1xsZvyCwHekuLo2rFYvpCeha+1obUOCVruNxYzUUU4ZexwLtdlCiEVUj/386HfcE32bDOjbKmIx+2AbNRCl+VPNEHvUpUYjRIs1/eGpJnLappJ8Z+NZDm/FzL3yfEhmyjMfmKxafgAfFRE7PpELgQZyq0vtGDlRM14JlBZhxmyTKDyEzPqMssoQjwPwPOD6r/wKAOAj/6EhoB9XFXqXDYlplJWARXRsbADbhjz27Ic+aH7DtevYvHQZALC6tYWP8+9/cO+GGyldQ76p2qtoj4sFRF/9XbUk32IRNYP59xzyps7JtEBAXkOTOamjBokqafccKjZLU8ySkyWhf0vbp+FQRlfJefZTyHFwy4x9sxkhIpqmsdrA9JZZG+xahyJHs0s0VhgBzFpOJaB7REiUHqbUJ7TN9zwfmI2oT/0GUn5P5hohXYqKx1ABoeWbgIQmSq7yBWTL2I6E623iCYT0SJplhSeZIW8LD427xkbc408vARRch35AA59tGpv2jWmNB8llA2vEzsJzx4+isAAwCz1H2Fh9EbX/r/MH6vr3a7xd0qFY66hAa7sAq7OB57vjhW1kcmJcOAKL2dvjM6AXV8w690OBwOEdY/Oj2EcgyLu1EqHaGphHJW+pzFPoBlFVpXJI4YlSqMjSG5USGbmW0LRcI0BCREPUbyK1fG+lRkW9kQk5BSuNgOPuC4nCIr4iD8UNY0dUSCSoLjEgSr+XF2hy3d1st5HRNhW0c2lRoE3+yWf29/GRNYMx+5W7FQIid6wEQejIeLM0gR/MG0M4rklmv6M4wnTKdVArSBJJG44aXrCO7qtzNVGqqqrpsayZN/MMRW3dzdLE2bn+ygombG1fx6u+vULUyHHLqZ4/40X6fT8YaezdMWMfNUKnT42VEKMts9atUJ90lqFvdUR4KDl/lVIIWma82qVEOjbH/ab5XhhIlFafViOkRCzLQkETlVsRQZFXcNxNEBK+RVNHEt/8Z/8MABCfMb53tL6Gio0/mnEDwb5BtHuDITbZeGU8MnPdOnP6/8fef4drdmX1nfhnn/imm2/lrNiSutU50k03YIIxNg7MGBjGNk5j4+wxHvDMz2BsbLAfG4/HYGCwacaBNthjYACDcdM03XRSqyW1skqlyunm++b3pP37Y6+zz3nf+96qklQXqcRZzyPVe0/cZ5919l57re/6LoYXzEj1Qa35yDGDlvn4ixsWyTU2p9kuyyhQL5QQfnl372bTvArRN5r3ypMwhW31uyyHDh1heZ/hLO5dN4jFr/Qdts/lvHs+eVmBcD6kd8W8j5Z8b040YqZpdGl9mJAh6C5HQdM8azNxGcjY5EkxJ+VCLGNPONdglCMBkwxX5t1M+ODiVONnMl4pFwHyECloiQ5tCto59RyUkJgrDYfFhg6UwyF5H5n0faYUjsxzX6cV//QnfgqAy003p/8ryMEnZRrQa2xTccAzzz4HgO/5YxygOzRhkr9N7/hh5lB7bD6maYr5RgN7xx940y9DnuHEnMm+eZ+XsXpBEOF1H1fGpdpcyLrMc3PCgRsPBswLWtlJHdJ2Xy6pQcal2cRj0BObqC7v2dd2bqvNzzDKs1uigq9sIMT1rusS5uT3ymFJEGZbJLSkOFRT1pSBB1rsMmZnOSZdXK/VWRZE3oa8j31BQF+4er/eVfxiwyC9fru/zeSbNssr4egajiyiqxYGDIejsX4cy54ZK5ihSuPLeGaCESm+Mylj13NLp5fmxzH0883xWm8QR9dEB0onfMtbHwLgUH3EleeMoVyLUjKZ0Bbv9xhdNp0UCBHhwqGQ/jWjvPFmG/9+k6LmvbBC7ZRxyqSeIpb0FU8qsaRkOAJLTnEIotwg08RSYagTm21zo4iukNWOhpl1NvTjjK2jxsjcunoeAJ+AIwvm2CSJeeibfj8Aa49+idUZA6sMXjRkmKQxy/cbB9knP/d5Pru9Ybvj7nvuAeCFFww59NraGisC83eUQyaDeKPZsrD4nMA+iWOuiTMiyzILI3Ycxxp10WhEvS4DtvRNp9tj/wGTMtDpdCxh+Wg4pNkyxmRuKM7NN+m0C6i9a4nyUjwxNqN4L8joVfFxjqmR3vH760+Zyk6HDoVcOG0MNi8eWNtk8YBH54p5l4EYaSdOzjLaMBNc//o2nuhT/Nw1Fu42zo6BB8yJU8KuD1NUYN77MNN4ojsNAG2ut5EPnHHGSD724bDIsAlS2D5mBkRPHmd+CAMxyFxPoz/0QQDCgwfhXW8z975oUjfSF5/H65lv4VPDLX75ollMLO3bL85Rk8YIxtnkik7HcVIYAlpbUkObAZpl1HKy+lFkv9d+r7uDE3FMxrbp8V/Ojaa318ZA2ynFJPBt73kbAEfqA1563nxbKs5sTbT5fS5bMjY1xWG1uOSxIdX9outt3PuMQzI6s8nMcTNu9FyFEse6L47wLMvwxdBLMtA9s91TmpE4nNdlQRDHIwby7TmBx4yQPzcbDbYOzQPw1K/+F7N/+QTXv/w4ALN+SE9I7JsHDrJ92Rj6cx/8gNw3pXPRpIN8OUr4z49+ATALwPHJcEIUOFYndllRWccENr24nP+s0ZZzuzDU9IRTbJrs3N7vFuOY3pEesAdyI6eHjkEMoj/0gEntO7ycce60Gdd1e0gmfTN/0Kd9NZ/rjD7NLPh0V4w+DVa38O8zY5N6YYXW8XkA+q4iE8JnT/Qp1hmO6NMg0wSSWe56ioEYLuuSNtKINYmMC/1I2y5valg9YuYvR/pwfqAZimFz8OhhnpagzlwQEMnAkI8LI53ZKkenleJxeSeqRKK668JwCuw9TyXTJfNfo4u13Q7S0/GFqs4ym4KmlGL8tEnHkmZWqiMPBgOSJHe8gdrT1MVsvE+0eYL8D0f6/pvf+gAAhxsR52QxqbupdT4v3ONz7boE+MToX14MWF81TtVkowN3mbFJn9tm5oh51p4To5vikBenXqI1Soz3fpzSEHb7TJnxCWBDAjp+qmwlqHYUEUquoO84nDM2O0tS5KQ5dw+D02a+8rY2+YQUjXjw+HG8h8zzJWL/bAce+2W+eibTPCmk04v79rO+IuPYglmsLu0/QDw0Cr+1uUmSB2+UsrbMQHRx34ED1vkx7HeJJMjo+749T+uSjk2jSwD7zjzXtYvaXMeDMCSSgEe/26U1O2+eLU4sgfcNCm3eBtG7TNbFQvoPSND2YHPE2XPG2Z71RqTyjMt3+XREn/SMGZv2zfmsr4vdvNamIWPT8MUVZo6Zua7tgNsQfZKq2YkCR7wM/VFKQ+avTGMXl+viDJ9NNIm892SkbAZpPdWszwn5/ZqxhbZeeI7jh4wzNFndQh85ZtrrugzEO++uGJtw5Lk0JOXp+e02nxQSe3CZFydynsY6GhaVgs0cldljx+Yq++/tnG9u5gkpza1qIjCw51K07erVKzbg8MfebL7dhcaAS2eNLtV6mV3I7r8r4Ox1ARlI1fKllseqpDx7/SGpBIUGl7ZoNM3Y1HWw78GRNV3iQihOrzjNCCTe42bKBlk2xNE1myqSkh2Su8cDx2VwUAqBxVIIrJ+RSeC51axxti/BKMchkrXXvb5pV6IzfOn2047LJ6+ZQhq+D3MSeO8KlUxcqmw3JlPXNWrqK281G2xuRfbvvLBbmt3Cuy855M2/5XsoxgKSuwRZbo+I7bebvSjj1R8UXVpqDTl7XqrB9obkpUYOnPToybiUSTrsYujYcam71mbxfrO+XTu/xkLLvLOOo/CF8sORcamfZjTzlPY0JZR5zk8VI+nbttgB3igjk0Wlp5QdXtMoZmXeXGMohaZmowxXqA8ON+ucuWbm61qW0RcdPSVr7QxtFgDAc47Dp7pbtrsmU5g10BTAS29YVIYejgrd2JUoftp8Ns3PVbbdx+wuh/EiOZi/y/a6tddKRaVuIFXqYiWVVFJJJZVUUkkllVRSSSWVVFJJJW8IuUMRXTfy4ClcifT9n58xqIF3vuc+PInypHHGrEQhR2tDDklqVk8Id2cCj2tC5h3N13A2TXTu6DsOUZfI9vpijZ6gtNJY4K6ezyj3yKYJSV2iu/2IrUS8t+Idj11IBVDueYpgS2COw5hF1yBwzve2zDnZiBfOngbgD33oFK0FgwJqfeQj8JhJNeOP/mHz79EjOD/6YwDUF+bJzhn0luO6PPfsswCEdRNp6na6BcTUcSRtzCCz8rS0kaRtzszMWG9rvd5gkJPRZwWJPWhSef5+YiKex06cYFZg65k2qY4AzdasLcVc7NeWELHTblukGApCidLuDaIrlxKMUtn/jaV6fPTLTwPwnvqb8Hwp451khBKl7l8fcFD0Kd5n3uNs6HNeSqkn8yGIPt37rsM0JK1wdblGV8gyU/GYDxJFIpGlugtKILBJe8imRMOHefqC0gJ7hyBQeBtCejka2UIIPUGMZa7HppYSs+sjFr/4GAAb99zFQ/sPmvttbpl/Dx4iEELos+efo983772zvWG96+UiBCqH4Pb7Vis8z7Nfa/5dzs/PW11wHcdGqV3HKcGmS9HLKUj6MUTOTaUcbdB7DMG/URS2uO+PfOJ3AHj4A28ikPEmTTPqoku9tRGHJZo4XDTvrlFzuRZKCqrWKCESv/fh/ZbkdnsxZLhlvq1M3o2jAnoS3QnJcCUtbbjWZ13QC7ZggFI48j5qwPLAHHtm0OGwpGOfTo2OfuXD++lLZBo/pPmOd5rf168zd69BGF37if8bgINvf5j1F804drHbI4nywtyKeUmLzotOjEaRfUeOAu2U4zGT704ZEm/7p9r5uxTdK5OHO5a0XBXjzc2iQ0oVBOaOb1GMe8ZJrxzAYZwwX27vuLaf/tXnvgjAV3zoTXjynUVJSkvg9N31IQckxd2RscCtuVxviT7VFOmW+b4PPXyAuhQOWF8M0B1JP5exKfB8JCCJ42giSd9X6306IymFnoNJHI0SSInnKvxto29RFNOQMbS7YMYY7bukQlC9HM5yZNbow6PXrvBuefzTeZELzyEQpG87SsiyQp/GIsogY3iuF+U5qzimXFJ9PKWR4hpjn/E4woySjmoUyiJvimvlCButNe0cVesWyA0z7TjcSrnsVyY5cnknMg2UTb378U89AsBbv+J+aqIzpBkNQRhvrw2ZywueiC4ROLQldTEOHBzRmUP3L1GXeW59KURtm3eqBYXkKpeR9JEPDOckEr4+oC0o07ygwijTeOTbMmakgMbFLGIhNPNt42FTUGX/8n5mlw0KKLm8xpsEYfj8iy9ySvR8S2yQQw++iTV5fdvNBnpgouK99oZ9f5mkoPZ7XfpSxCeOE9zcfux2yTKDSHdd02ejQZ9WS0jUBz3CUmGevNS8KhPyTk3zKHQ3zbKSPkm7NNRy+2g0pC8Fk07edYpYbNPr1y7xuyblb0T07F9/xoxNb3rvPdSlv7I0oyE2TW99xEFJz2kK2tQPXWJBvQQNRbZh3tmbH9hPmNtN+2psX+/K9SRd0feI87nDhagmCMG1Id1hnn1htg1UgTaveQ6+pGP3dUbNEXTigqQIhQFXVgy664F9JzkqiK1V16Xzq//NtH3JZHwMFcwsGHTHdhBSC+X9+UGR9r5q0F9KubbtlBHCZaTzbQcNTzWoSvumIwvLRaL2SsaLexQPvipouX8/NDrx0JsP49bzTI+Upswbnc0h+2ScCmckxSx0GQVSNMsFv2vsmBP3LeKHQh8yG9IV2zyfr0LHZZDbplqTtsROWx/S64tNL0Npv4S8gpRM5rmkVuO+h0xhgtMvmTWYV9OMxC73VzvsFyqSC0nEm0OjV22x3dqOsmPwehSRZUJ9MjLFm6Sz8t4r6czNlGb8RebZO1E0Ks0IqkBy7Xq9ncjTHcWY8sPGkNS5nu8B3HSHok4iF82+n/isGZfuevdd1AWVmSQZUmuJztaIeZnn8tRXN3AYyrsPmgGjbaMzb3pwHzWx19dma2xtmnFJy/O1aj59Wbc5WpO0JGNpLSISnU4F/TXMQNwH9HRMs23294YjGvl4dczMJV7NNUg+QA2HnBRE79mNNR4OzDGXZa6NFDYV/9xwZIuomYaO2xwKh57QDu0okrFbrvqO3RPH5e86/9cJKOvP2Nw2iUyctIuszTQVKrZD7mBH16TylhIOpMMOHTwMwOLd+9HXTHpfPIgYSs7DTBzS8WQSOmsG0s0Di7iSVtUajliUXFgPl0SM+NkEgrpxDMVCvFVLM1Zk4PGGMUoWCqPEoZk7BdJ8UelAX/JftaYpENu3BE2ek7QxJcf6UUokOeVf+uwnOflH/qhp/KEDIJXWkPSy6Jd+xaa7/f3z53BEWVzXtWkH3U7BGZErS6Y1I5uOAw2BOtZlMq/VarZPe90OM8J95gU+7e1t6XdFLBP2oUOm34fDgU1BfN/73it8W/CJ3/xNDh0+IqcV7zHff8999/PsM6ZSjR+EDId7zYMDJq1j2vbiIzq037R536lluo+cA2A4iGg3zInLqcsoNJ/U8JzRp45zyOpTczBkXqD5YQapcCWFmUbXxCAWp2iLlI08LXAQI4XJGCaKSFI5Mle4S1B4ok9RX+PLPdKGgxaYvhaOpqbvEgl/jvYd1i6Z1IzFsAanzTdyrWPeqd9q4h4z7/InPv0FmApfLs1keTqFF9ASHXFdzy76Ypm8m/UGmTheeoMVq6caigFMaxx3EjatSu+onAs+TXaZmPc402wMGj7t5tIXJ46a1IelE0u018yk2B9EdIRrZF/qMZQ1ZP+igehvLy3giNFTG0TMSEqjSrD5fe5IU5fc+0TGhZoDQ+HPi5IUL8rz3l20OI+1En4Z5eCLP3k4SLgikG2yhHOfN4GDt0g64nBtk2PveK/ZvzAPueF1z13wX34JgO4Fk6746COPcORrPwLAj//fP2MqwWIMq5kZM97kKc8rK9dtj5lXP2YtjXdpVhhKjuMU3CdKFdwV5TTGUhWXrMyfdEPjv3DiKsdBi+6SRaB+N6ZQPQ7hFsmy1AYljoiTevHoAl2pzNmLYkYyFjRjxUAWk5yXdLSDC7gyXrWShAXhB/SVQovRFYw0M3Wp1ugawydIMzqiT16i8cQYHGmH4TB3fKd5ywkH5lqjLMOVRWpcd0lk/EPSP+Zqrn0Lg3pEJs92rDUDefqkOFmPp/CcZ87/sY21XbqtlEphP0unlKZY1qXcOVbw5KiSLaFKhpeedJaB0cPccZpl41qk8kPE4ed7pHn1vCRBi2NEOVLlLN0D43+sMdY7N7GAMb9PHjNj0/7jC6w/aXSpPxwRCU9JELvW0clFk/KxujzLSPQrSBK7MNAaa8gHacZcaMamPmZsamhod6VicJZSz8x7TlEksqAYiCN7hOJkavr4gFZkErz0UawJN+nalx4393rLO3AlJeiFiy9Rk2u5aUJnVKTbA3QuXsSdMzr+/2wPOXH8hDyc5szzpspnHoBZvXaNo8cNhcH66go1CRz2Op1iHsuK6sK9jnE8jYaDklN1QnsmU7eVYozDZorT1O7KUqL8fiiU/F65do19Qhuxt46u0kJjoipfXun20AFjQxw4tsjqs8be6A8jBkFeKTGwaV89meuc/fP4wuHnD0fMzJjfIQrEAdpIMtymeW/9gdGnputwTZysrk5RUjYvxWEozk5NHiyCOaEYiYYptYZMuFnCQHQH4TutKZdIOHjPXTvPYXmmtNejKemIntivXrfP+cw859//8gvML5rg9ObGhnXY5O/U8Rw7helSSo7t2h19fTOZeB+le+24jJ6ySBwL8t7C7W6z6B2LahPoPnjI2N6BZ17o0tEFVl8waXzDKGIoAacwDYkk0NO9Yqhb3MU5Upl3msOMuTmhWPFcG5x3hwlNXyrsJRLg91xWBNCQZClhS7hxwfLnZjIfDzU0JLU/GaV4cr9+OuKFJ54AoCH2WpZq0ty5cXyZwRmjE0tBSCJO/Zw6LkgzOqEEszodxu3taT24czxHldPCpumEQsl9e/2C52/n9fKL5Do6ff4YM4HHft+qE+5ViqVKmUiltA0xclx06uCRRa6cyXVpRJTrkq4RiXm3KhyCLMwSiy3ipwmLEqQLXIUWXZodZCipdDgYSVqqr+gJn6seZKRNCVQoRV8oaCJxWDmhxyExo9JeRiQ0OKpWjH2++CKSNEVi32TLTSJJ5z0YhJbqIw9iD0cRQxlzf2h9ffx9TFQuNJQi5T7LHVlTnOBlx+KYk7E0npX52nKuypIPYux6u45zU9YBOh2/3i5SpS5WUkkllVRSSSWVVFJJJZVUUkkllVTyhpA7FNF14+h7HhX48BHj/b+23kcLBHm/hplU0oO6mjlxAs46Ak1EMSPkqPX5EKcpOMYwoBeZg0e9GC803tmWIClmUshLbQxH4ImXdZjEtoJGbSSRBj9lYTEvReTSkQjTtobWcQN5vlvQDZvXegwvG4TN9qUV/sNf/UsAfPvHfpb4134NAP8D7wMg+Dt/k3/+3g+bZ+502XfQpALOzc1Z8sscYTWKYzpbm+b3cMjMvIFd1+t1epJC5Au56vr6hk0vCsKQQc8gUJIkGXPC5v1+rVRF751vfwdgyDdTqQLx4Y98FZcvmShjfnqv12N1dU3aO8tRQbxcvnSRvRSlwPWKCLtpVAFvLcsHD5p31u4ldOdM9KeptSU8bXc1LUEfHZAovR7E+BJVbM2HeDWJ1DoOXYkAdbeGxIGksuZRrEwz4+apLgolEaCtXp9AvODuttk2CB2CPIIeumx5OYLKK1gxBaFxrhdx3yhHTWVsKRM66M63eEAiGWeumuiGMxrxrz5tUuxeuHyZQGDeg0HCNK973mO1RoNE4LKNWt3qXp7mePzYUZ56xsC4XdezKTOu69lggOe5JBLhKKICsGu0yMq0CEF5+15Dum5yfdn91Tl5fD+lN2OiQrUso5GYd9DpgSNIhgXRpVintkpUY76GXy+QIMOO6aO19S7+rLmJIzrjpYowT8Hpa7QgYa5stG3GVSsRKHVd0VqWqqueYluqmEVxgFMz13v0ic8D8PhnPsO3SORpe3WNmZZ8Ew+9leTXPw7Atf9u/n2u5vIxQf6sdrZtGmujUbeIzW5XEKqaUqRn+rdog9UUKYhGj8pw7PE+H5OxyPn01MBpx+dIxFzGqurddpEoWKnKn1KuhcNDgVD7+ntMmla/n9ETJISbJIQy52xHqQWF1SWq1yfDl/fQXKzhSSUo7bvEXZnrtkf0GiYqqeIcmaNoij4lQ00mCJmt7Z5Nz1+Q+w49RV0qhfqOoidjUzpyi/RGiYQ+s93nvTNmHoqvb/JiJvPQ3Sc45pr58MCZMwB8Lov4z/l9d01pnxK93hEIL6LeZn8xsOgSgnQcoVVGRZX0Yeo4VaqrJvew45pcyiLMbqF60KuXiYisrWRUNPp9y6avu92UkaTb+UlGkInd1NOkMq/UpIrcKEupiy61FuvU8gqMrkM2NNcdtId08vCzpOX7SlHLx6ZRRj8yY0HQHjEjetrMq1W7sCmpuH2tGOS6lLgoQeY7gjQ886lP8xX3GBL0u92QWFLYPnH+Knd75vmWBFU6SGN+bdMgr56/co2vu/9uAK5cPGfHmcPHTwKwvnqdc1Lh0VXQlerCfhAWRXrkPW5tbtsiP2qsGtWU91CSRqOoPtzv98ej3hPpbKYCdnF+HsUPazXOSqr43oiaiN7DJHIoE936wIG8OFFCJHZtEKf4gs7b6kMtMMfm+jRMU1qu2NYLNXzRhcx1iSUFcdiN6Ev1HiVIh3SoqIsNlvYzkDlwu9u3Y1Mo+hi74Aritea4rEk1dj8JyeS6OUoj7Y0IBHmRAJ995DMAfPDb/2ce/8RvAXBYaEVWA8V/XDdj15XtbXxJJ42jIQU9hthwjmvt4jE9mGrTTCKap9k3ujw57pTJSni6fG0YT/OmpG83Q9C/WpmCLrNN0Fw4fw6AP/0BQ4/QH6Sk8v02himh6M3WAFu5d0ZsmlGS4Mt4NDtfs7QjGQ759J1FKUOh9ECQe3HkUsvBQYOMVOyUdm9gbfC6TD2Jq/AkjTtVihVXsht0yFDs3kHbIP6cWNOUNLaFw4e4fkxQmC9doeXn60JJg6v7/Iro9vooT8+3PTO9G/Nddk4rUD3l9MIcueUox9BFwJT3PG2tfWs27pguacZ/76UZPkGsvvNm5lneK5XK24OUVKq91lWCl4kudTMk05pmmlPVpDQaZuPCbI3Az5FQDl1BWXWGMbGsq3JdymKHWr6ciTJLedTe6lm40awUHFOupjcrtpjj0pZxSWW+XT+uyXpVj1KOyKvbdh3mDpl1xW+eucT9vhTMk+9kq+7xC4Ke3kpLaKryOy8ju6a++mnFDspzkB5HdJXfweR7maSQuWmq9hQdVN6NTrBSIboqqaSSSiqppJJKKqmkkkoqqaSSSip5Q8gdiui6Yaje5hv/3BcNv8K3fPefZu2XPgnABtAW7prYq9MTr+KWcAC8taaIhSSz4zq4Ki85W3DI1Jeg3TGoJknXZeRpWhIpYtFnvW3uMRuEZB3jcl3NCeiVz0iin4Mh1KS9/pEZ+oLu2hSejvRKxkj4c2Zi2HefiVIShviHDU8A3/SN9un/7dPPmfPiAcOhicZ+5Qc/xLOnDTH9hnBZbK2vEccFV0UehQyCgPklUxrclW2rqyu0hKx+MCj4sq5fubKz+4EjR4+aNkQRrqDC1i5fYd+yKdF9+cpl690dCOFdPBxSr5t30Ol0LDH1Dt6C2yyu6zG/sMD21laJCB3GeTPM71982nBYfdvXf5Dtc58GTClpX1AeaRAyEH3qSijgAZXiC0fXANDCvZFFWGJSf1EzFH2aEY995mT4wgMQzQZ0+yZ01PB82DK/N3NeJs+hLzqUxNCQvm3tb7ExEC4d0aHFcwMkuM0CiheEmy27eJGzL5hIdTIybQn2L/Gxz75k9iejgt/IdND4v8q1fdbe2rKl1nu9ntWtnPD7E5/8pCW/NDxJpkFpHFlyb8/zLGfbVN6BclvK5c3Vjh9jYt7ma0A+AWMR8H/7O18C4A//r9/JxjnDmTT0PRyJ7qqZgByOtyLohwMqIWyYb3o9SskE3eUONKnoVX25RU+KRRyQaHU8TNHCg+TMh6ZcMLAwWyfdMN9fSxCBaejhCyGw7ic0pG/nDzTZFMRCHgZNznZ58rfNuHp4bpGLglQ5+2//Iw9IFDLn7TmA4m8/aVB829eukevN0uI8Q+FXSXNkzg0Qenkp4eLzdOx4X+aQM+hS02+O8sjKOf2l65l/Cl6msXvsPPJ3WQTNplzbAj0xFvoyJ/27zz0OwLf+7T/J1oXPmp2BT6zzghY+I5ntt4Q/ZL+bWKLwONHEgozTA00j51Bb1LQFkdkUjhI9yKgLqqI3F9CTsakWBjQ6EsmU9z5yoCudF49A6nIwu9RiKO9iINFNfb7D5a0tAGZQtFzThs72FlnXHNOTCOo73QZ/9cxL0guld+oU49A4J0jpXU+S1Zs/5N9iv9LlkWJSAyZsEMcZj2SWotp6Mlo6hlIsFzfgd0HUWNvKz5Xzvf2nx4wN8cd/359k65xB9CaOY4s+zGYOHTlvTVCAB0NNIpHuxHEYCgrV18qicdJFLAn/zKx5t7qfEsj7G86EDHvGvhgEDvu7Rpc25V6O6+bUpkSpxpduqy806Aqn6UD6cn/qcVaQyYuzc5x+/nkAPMdhUQp3OIIwrY+G/OKaadeDD9zHcGjmxLn5eb7iw18NwPVr5lrXo8gSzPc6HXz5TuI4ptE02+cF2bO9uW67N05iYhk/lVKUWXPG5i8MqfzSvv2mT0YjdFbortUl+cdxXcv9lh8D0GlvW+T93spuCCPwpX9/6Umxm776O1i/aJBQlo8OmI0zkGM7wmN0oA6tlhT5AXx5Z26qCHM7fA46ok8tGZucGGrCCRjN+nTF/gn9ACcfQ2Re8FwfV/q+M0zzJtBabpDIMUOZ69Jz2/ZJA63pXjN29M/8ox/ig1IIISe0PjTT4P/9gll76Cwls0AGXbxL+diNjTNhSwHlAirTZ6IyqnQXmWoLTSCn7K4cyaF3n393yXS4LTKJDlTFeBpFIxBE7889br7jP/RXv43OWaNLOoGuoF4aiYP2TZtzZPNsXRMKu3fPVQSB6EqqCOWd1V1Nt2PedUvGJhLwZJ5jJiTKdSnwcWSeG0p/eK5LKPPn9ihDhjxmlhukkrEQy9gUrqccOGgQ2MPVVRYGZvvVWoAnmUUdmT8bruLjazkHZVk/CjsgL3Jy8tQphrKe2tzcxPVyBG6/4Jos6U/OO5lmGXVZowRhjW3LuzxxTytq7J+dh07RrzGkoN5bg8req4wQ2vkt/dJzxn74lt/3PrYvGF2qZYquHNPIKHRJuHPrdc2MFIwaBYpUXrSbgi9rmsCFjqD3FnJdijShfPuJ7zMQXao1Ag5JUZU1mdAGjoPKxD8QpwiwlcZCk0yuMRJbO+z1bTGXZpSwIvPnRpYyK5yabdEl14FfX18v+mFKsaa6rC/y9bfpvzyrIO++SQ7R8rc7bttMtbF342gbQ5NNQePvlsl3C5xvd6ijC3Yf5BWJGM5f8aCBoDPocUWIKJeSmMXc8MpSrosevqkhlS02R7TE+K8PUzIhq3QONC2JtxtrwkZulcoivZcQCXw+dBXLQrqqVwes5JUXDhjizCTNaMqsGm72yRZNyk+Iws+r0shgPPfeo0Trxui5+qWLnP+8SRvii4/B+99jfosT6r/98x9jbsE4qdb7W5w8ZSoQffnpp1iVKi95exutFtubhmCvVm/axeKBAwfZ2NwEDHwc4OCBg0Q5kbhyWL1ujD7lFAq+sLRk9e/YMUPWem1lhWefM4vbVqPJFXGMjaLIpqvlxNPxaMRdd5v2bmcZhTtN0WgZOGa3u8XtljRNaG9torPMVqRIkqQgnJY2AHzgXvNcYTZiJGmsrsIWAMiUZltGpaY4vFau9Vls5gT0GhKjh/7BFqNhTpDrUBfnqicfezTKSGSQdVxtiTDdQcxV0aeGwFTjLGNeoM79lR66Zib4hueSCdl03kb9QJ1n1sxk+NbrMankD33o3vvxtwzEfu4RU43kZztbE2vG4pvLU8/ySdxxHEvunWYZSr7BWrNljx1JWsl8q8WW6JgCjhwzjtHV69eJxdkYDwZMn1AnF42TMgV2X9psDM2JFLfbLmr68FRqzwfvM7rUIKEvpNwNV+Pk1WEV9HJcvSzu2xsRs2KQ1NKMLC8wsFyjK86wWuSApDR6MpakTmarduJrAnFCOqOE6+IA9RYk3Q3FspC1epvbrIZ5SrcmyIlSa5LO9GCNp6+bceXq0xdZcM15B3oDkpZJwV6WceNjStO5alKaCZswMguUbrdjJ29dLjow3nFTfuVHapt27DiOHVfKxMg6S0v6Yq7t+b5dIGbZuPPLtqIEtZ50MP3uSL6YKRGDKqfkrFPMzZqx/6vuPQGAEw3oSYpN3dPM5ZXw6h4DKW4xyoMpmwlLshgg0aTiDK3P1enJXJfF0JS5sSVBn54TM5IqV06gqYlDKurHbEnbFpfM+/ei2ML706s9IiluUHOUJWH2W1Lw4N6ASxtm5J+73gUxBt9/5AGiyMw5+6SN/07HKCEh1Wlyg/FAxL6/klGmoFCSKaeUIf03Kze22yJwLM1xYiGHccjmVfrSLMNxXPZG0yR1YKyaW/GNoDX33nMPAHfLorCejOhJOobvw6wsnLo1Fy1po7kmbm1GNOtmbBoOYpvq4c2EDESX0pG2JPV1lae2Yqvr4Wt8lUcOUy5KOvE+0aVRlhFKgZL62oChOORnQ5dAaAA2xPnf2+/S2xQH6rWrHGkYZ8Tl/oBt+e4XYqPPT4cKZGHR7XRZXzV2yqHDh/n0b5nU63wx2Wg27ULQ832boj+/sED+njulAj2uLDIynSFNpFYLGA6j/K3scHMsLO+jJnN4liQ3NORNKnUxTyoJeMzOtGgLNcVkuvVtF6veMlaJ5IHDr3nA2OFuPCQq6VPuCOuHLkR5FUpzscsbCc0ZYxc7UUYq7yecqzOUeY+RpinOsKboUz9OiIM8BQgaMjYNhwlr4qht7TP6lGUZOq/2uNFnKMTSrg+ZODhmG+Y9OPcFbFw3i7/hegdHItz7O322HKMD+yX99bfD0HbKwuIivY55D1q71l4arzqX/y5vZ9pkVxI9uaG0q+zgnyY3WRiOOSxKAYBbca69IlGSgpSRUwi4rlPYBRocmVc+eK+hNAnTEQOh42igCcTWGSpQ5KleUqBpO2O/OKS9kba6VGvVGUpqmY60Dfa18iB8mtgqwK6nqYsuOVHCuox8M0tmTafRNj2ytdEhXpI5zQWVmnbmziR3f8aFNWM3LQQhLanweXiY0Jc15KJjjv20o5ibXQBgu73ONCdCvm65ePEiSwvm2CDwLbl54BfL/FDWlZ1uzwZYXNe1gec0y2gI4KBftsHH5sk8n/NmNnhprmF8bFBlPb/tkvdN3k6wvA2l9n3FPUaXgiQilcE5U1ATXVKOYpTrkjjEV7YS5iXQoQYpWsYUv1knlnHWTZUNCtZl3hg6SWk9p2g5Mi6NEq6LLqViG2kyUtGDYDWyuuT5DqmMkzP5uHQiYHVFgDudIQ3RsWM4tGVumpP11+84poo5mAJ002yagVQUVsqxafCgcaUyaJrEpUBi3p1qwik/xY7PbY/yiTuqKOaOsJJe5dwqY8CGUoNvsRTsnsYQlVLfoJR6Xin1olLqe6bs/5tKqWeUUl9WSn1cKXViL9tTSSWVVFJJJZVUUkkllVRSSSWVVFLJG1f2DNGllHKBHwW+FrgEPKKU+iWt9TOlwx4D3qW17iul/iLwj4E/fgvXnlJqeWfU9L992ZBx/oljB2zkLa6FXHck9YaMhkCHTgp80FOw2TORZD3XoCOIh6X1HlFNooW+xhXyutbA7N9yU+ulrmmHUCIBK3M+I+nmUEqvXyelK972dKuHJ9GKcMmhPjDXmHeM13i25tNvmm3f8a9/ivOf+RwAV188jRYofPt5g5r6kZ/+d6xfNs9cq9W4eP4sYDz+zYaJjuXRRlM+2Vx3OOwzv2giAZevXgWJhGR5WWs0gUREHEfZktqO6xJLepmjHPYdMMizUCICC/PzrOdlv/trNKQNURTZ0tORpFHtO3CA9XWDMFu3UF1zd3UL0MRXKlpr4ijC8zzinBR0WglV4NefNH37Z+47ZonVVavGhhL0Q5pQE0LBIxIV8Bse7b7pI3ehSV8eZW6tSybIm56bEYiHvyYRz5Hv2FvXcZBADNdnfNASfZHI5iopHYmaD9sDQjkxnnMJUtFJyVsKAw8tZOV65iDveOgBAI7eez8f/8F/CMDl0LThU6tdsqTA1pVjz+lElDgM6wyHeWlaTSZe+SRJCAITkchTGDvtto1CKYVFd83MzjIUUsxut1sKCJQjCC8jSlmGwubpHQr2MhX2ViOevybpHN/1wCmLhFPNGtsyNmVRTGjfv6QzBortnnxvzTq9PEzR6dto0cDXBEK27OYBLT8lE+LmpuPREFTEylyAi5TUlkjRhgtXL5jvz+slNq0obmF1aTbOof0a5Js+tLpGJnq176s/wsbnTPrceUGSfWqlTZYaXXJx8CSCOD83y+qagVPPtEx0dLu9PdGP5d/SKTJGlZPLsiy16VcmWqmKY+QwT/TO9Xw7jg36vfFiFOV0XIw+W/RQViISd7wi7WxPQpN5dExREHfm0W9Ap2xsmG/n5z9r/v2zJ/ajpW9UvUbbkWhhnOALMfOCBDcDR7EpafX+fAMpBUCrN0DLexs4GaGkjeTfvFYKJUgIT7k25aff8nHzdJOuGdevkzAbSUpbFJNtm/3DeYdGYt6PL4OiUg6JoILuP76P2SOm/Lc+d54Xe1sAdAVt/ZubA3ReQMBxmY6aUvZfV6LxaRKXxoUSfN9Gf/XOcSe/1g0jhxOpGSUp0m3LSKryWFroUDZBLn57RaKmKh3fJE1+4QVDb3Ba+ufP3XfEoOUw81wnNboSJ5qGoCmagtYLfcciCVUtZEO+i1ZvSCy2UNLQBKJLKskR0SmhKJDnemh5DysNDz8zxyJz25bSNGV+9dKMVFJmR1GIknlzvxCczyqHyxIV//y168xIWmGoFEtinwwFPfvfu0OS0RYAL76wYccIzw8tkjOnbOj1uiwtGztne3ubA4dMwZ/W7CyxIJbzNMdBf4AnaIokjqlLG6LBwKZPxXERIc9fxYP338dhKcZz7epVm6GQoey3PbXwgU4J6+Yely5e4thxEzc+e/ZFbr+UEAFT1bWw0X/tyybd7H+65zCppJiGrTp9LYi7RFu7xxFehUbocE1Qg7ONOonoS9YZ4Ig+9esZviBfHEH/eF5KXVBtynPRMlS2Wx5+IvOi6GkbTSop9lEUEXTlDQw8aoLwUIL6czPwBZm/9dQ5IplnFl0HR9KavuCbNv7Ki+c5eMDY0yuS/QCQJolNNc/RbhpnfFy50RhTtn9ejkl8A/DXDrkRCmwPQfCO0ma9IWNPGISWxmIUxZbG4tdFl77z1CFSWTelcw2GSnQpTZmRwjx6RpDtSrEhdlNjoUUmukRvgCPj17CWEcgckaeKeammlrfPde202236eDJmaxmbOg6QmO+/F8c4W+YiMw2HmXS8T71Y0ZWx5+rzl1g6dco881obJTr2kqSEf7mT0O2ZuZ0d1CHjmRKnTp7g2oqhwRj0+9YWQms8QePm/dhsNukKekdnmu22QSPWazWL7oriZJzOBWS82U1HJrCppfdZnFzs2juR+9r1K6gpNAa//qSZ7/78qSMkOY3CTI0EMz64WcpMngY9k1OqKNod09/+cotMMikYDMlkvun7GR6Smp+bq06W16rD9V20ZNi0hy4jIb8PBV3YIbMZQ9EoJtwWm7bhUpfX4dYk/TZS1FpGS1986hw9GQffGdbwpMjVZsO8zy9dXSfTZXs17xPHvplQbGJDJyLfYhjYdb55IDH4rB0xiUsW5JqjLCrT6O6E3iin0GnzkqZcL0f+lW218oB2awPbXiK63gO8qLV+SWsdAR8Dvrl8gNb6E1rrPBn0c8DRPWxPJZVUUkkllVRSSSWVVFJJJZVUUkklb2DZS46uI8DF0t+XgPfe4Pg/A/zXaTuUUn8e+PP539O9wcVGT0jYjiwaUtD77jnMjHg9n3z6AjUp7dpQcDL3ikvELnE80poglpKISJBMo/0NyLlPoggtpOFb4umN2wo/FALutT7DnhCJz/gEwsFxVaIAjqsYCJrHWa4TCEeJVwtoCBmhs208qOvtBE+8np/5mY+y1JgHwK3VUS3Tzv/wi78MwMdPn7EohOFwgOPmecnKEs/n0eM0ia2Xv95o2JLnaZJY9FvOSxHWQoZSWldpbfN8FxYWabcNQmw0HPK88HHlhLMLi4sFkqzfZ2PDILaU41CTqEFT8p2vX7lMQ7jGTE6wICi0vu2kqpP65LgO6S0ghQ7PG26Hu07sY0b4QZ585gJuzhXgOgTCgxNL1CgZZaQHSvokupnta6GEN64WZ7iS092VqEDcTWxufW9tQF+IVNOWhytosVVBoDkORMKjo5YaNvJYn6kRSAR884J5T9p1LVHmprfNO6RowtVP/jb3vvtdAPznT34SgM9vbLFrGE8VugUQhqElwlxaXLS6s7CwwEh059CBg6bd62u0BVmYZaklPhwMhwWfyJgHv3SrsZz/m+SF5+gb5VikgMrL0eqJSNUrlEldKtPe7HIGAAdnjd6fPLFc6NJzF3FkbKqHDo4gFvLcf6UdtPCIaBUTyVjhH2jiSMRSj2JcGZvyCEKaOZYot7faZyg8R1nTsxwy68Ij4WAI68HoSixoi1azxrIgxWZXzPs8n6T40q+Zr1hcNd/39otn8CXq8ylBsX6+vTWGXMijkPv2H2Bl1SDI8qji7lGaKWgdlEV1KRSOIK8cLyhFI0skwHmELU3pCyI2S0scXtrwJAE0Z8z33ut2Cu6vnOsI0HpSB1+9TOrTTilxOiWp5Rc7MG/musPHl1iQ7//RFy6SCZp0pu6RCTLEkaIprcwly/UpikiEu00daEI+No1Si7IYypyVRjG+cNSMNodEG6YfnaZLJmiLzZyQKFNsCedTMBfiy5jmhYGNsmWbJrK84TkWHbbKgNmXLpj7nj3LsvT5r/SN7j2yvo7lKlNOSWXKvBDFT4uaUs501MJuHF96x49bk9JwZM8c4yWZjhq+nbK7LpWjoXlUt2jDwTkzDx87tkxL3vMTpy9bnhIfiEU/0o7wvGgHpyWo7yxmKFCaeF8dLcjjWpzhC1IhzouuRAn1hhnHBmt9EiHxDeoukXDebIgu9ZIExFaaA4R/mthxWJb5KJY5aE0pIhnjvTDAFb2ZD0M8GQseEaTFFzp97OdNhisGzkunX7DcpWFo7McTJ0/y/HOGrH9mdpaDB82cduH8edbXzTiWE6fPzM3hOjn3V7tAYzlOqdBK/h4KWyjTmeXoev/73295K59++hm2NtYZE51RF/6xMoFwa2aWXn/A7ZSp+jTGvUIJaVZ8T4fEbjp1fB8zgn564oVLIHNdzQdHOMu0vOvA8akvmH7JRiMSJUjc+TqIjeVFKTUZbyJZyWSRgzNr/mivDYjaUuAkdEBQqmuCHkuVJhVkhJvWbNZC4Pm48q7Sthmb2p5HJOjGsFljUcbV2PVQgup4Qh7501sb1GWs9T1FnKM+0NYO38FXcytSLqrxciBdrzghony/nX++GhnXJYXn+SwsLFiE9HA04mu++qsA+MIjj/CHv/kPA/Drv/gLABy7az+NWfONfPn5iyDv1Ks5pIJcTrvCYaodvAMyz/UGKBmbwoMzIN9WEGfUZUzKCch1HOMIgri7MSAS9LOuOWiB56wL8qbmumzLed58jUD0vxYEpNK2aMusY0auy7zY8KP9S7Bt1ks6S/Fi0/ZH5KVtLS/hbplxJd1BAj7+Ms6eO8+9991netRxOH1akJxKc/yEQXcOZExYW1+152WlBXWz1bLrN5O1MqE8u77/8o4CST1+SJmTyeV2yY5xyXJrqnJrpA0FYnv/rMkguOfeQywvmTnv40++hJb1nB869DJ551J8oI6DI7xsTn+E1lLQZL5BIuNDNEypy3pMqCpJI3BkjdfeGNCXcUnVHHKo16oUJcgc0GJruVmdWlBw7grdFiNZt9XCEJVzcc022S/rxEwpPFmDfkII6r/QaU8kR+Q2cWrXR6OR9JnjMC/9M+j3yIRbGqf83vLMgjIKvbhBlk3qRAnpN7YdxhDCZVvMzicTGR62oFCJR/UG8rogo1dKfQfwLuDD0/ZrrX8S+Ek5VivHBZ1ZMssoii3MNcsym+o2FAK1Jy+scEKILaMkJZQOzVLN86FAkMXBoEKP+oZRos7BOXyZCHtJit4yLzshpiYGjCtGmvY82jK51Zs+gRhp7iihuyjVGNaNwm2phFCMP7WvxlxOPNoesjZnnnlOBjwvidkS8nCl+ryrNm9+9wf43/wHAPimzhYAP/HoE2yI8bCwsJ+OLBw7SYfDh00ayMXz5+TZU0vWuP/AAas40XDI6nVDEJ87wnw/IBQnHo7LrFQV8tyCXHPY63HsxEkArl2RakdLSySiqDpNbVXFqyU4fqH8FA4tjSWKnp2fp20XwLdHyvrkOI5WjkNWKvSglCoZvoVc2TLOmWcubXDXgjEu4zjDyz/QOKUjg9ZQSu2oWoi/bvSpd2iOVBwL7SiBTTPYpaSWtDCQ813l0hMngdcIqMmE6wxjenPmWF/0aVOlVp+cxYBQCAnj9pBUiMUbUlU0jFKU6PfbP/xWmpI+FJ1+iYWHHwLgQ+IU/vmwxkaSG8vKksprre1EZQnP09Q6tzY3t8jkvcdxQkMM+JU1M7keOnSIdan+EQYBWqDCcTyRUjNGGl3eMbmx9FuXHGWl9KCc5JYsBce7Afz65cn42OTcMiL7mhjQj750lbccNAUkklFCmKdQDTMGQgTv5cTPQYDaNu9Dz7UIJAWxM4xJ20I0nka0xJPpCSxfKYeB6EdQ91EypiVxQn9WKn8KcfPA1SQ9cXTP+iyK8yPuDtlckEWbtDGKImiLA3yYcvitD5s2rK3SFl14jywe/r3nsyVVFctw+MFgwOLiPIBNXZ6YjZn+znPnVqGLZUJws6DYmVqTpxzvmBxLRlgqE3Q+fnqeW6QDegGOLH7jOLntpKqTc12xpzAebdqwcmwK8JpUbf3ssxd59yFT3VYP0qKAQJyiJC1QbZt3ljV8nE0J8CzP0AzzVIgUtWH6qUdMXfQpyMlnA4+RjE2+76KELNUdJMRzkqYsc+VqMrTVY9OlgFCLo78/Yii653XMmJeNIlyhAlg+cRdLz58BIHJ9Fptm/v5AbJ7z51yPrl0rTqT7WdupnK7Azt/TZKeK3USm66Qlcp06IkzmEpXaeRt9XpNj0/S27Py2rkpRkuevbnG3OJbSKKGWV3pysA5wX9ItosDFFV2KF5v4YV5UJcVtS3qPjmnIHBLIAmHkuyR5ALHhk+ZpjP2YdXGcaRmbIg+irhn/vIUm85JVH0cxV4RIek6oH5JRzKy07fJwxCmxBQ+5gU1TeZtULf5FP6AvhOLDYSIVATEBEumyBSF5Xltb59Tdhly91ZrhwEGTutjebtOUQF23Y/pvdnbWVgVstlp2PMl2vIfcHjXtane6fP6zpgrYXXffzdW1LfNMSWKrYuU0C0kc2crVaM1oaH6HtVpprLs9smNsmvyUdqETyfXp9LUtDosTPh2leDkZdqqIpGiOJyn0bi3AXzfPki7N2GI9UZQQyVw30DGp2P11yStLfZdY9Cls+jREn+J+zDUhrndjozhdElq5Hb5Qw8sknXQUkUrwyRnJtkFEKAGi7e6Au4S6xK3VbOW9h8RRshjUbKX0rDQ0+UFYSlnczel9A9mRVn3z4Oz0v3e5NkwZH2+PnbTzdoUuzczM6Le97V189jOftkH0Rr3Ob/zGbwCwtLyP+XmzMPpj3/EnAHju4uOcEDs1ibM8mQonzojzAkzS12ngU9+Sb2SuaR0LoyRFj8SJHidosWWbMlY4gU8kToSgGRDKeigZxoya5lhHAnZ9J8MV6g5/LqCWyP40Qc3nOi92zyAmEBsrDZsckyJb2cwMQ7nfW2X8/PTGFlG+VhoL9E6X0y8YepWZ2RlceZf33HufDfTkqdjzc/OsCkVM+ZLD4ZB9+4z9cOXKlfEAH0hAJHdE6PGTd8x5JR0tk41PztevUqbbTOPzqw2GlhwjK21jSzx1cY0H9xn9aiqHnjyzG2tbzMvSiwQBrqyfnIUWnqzz+2nKUByhQ52g82JzuS3ueURSdMprhsyJ3RYNIhKzPCIQXdpSCc2+rOfmAjtXZqOUaEbmRAkItLtDFuW6F7a6vMU3utYSIAnANy0Yh9XHrq/SzgtcUQISlOk4ZG7UQE8CJ9FwZG3eTGcl55NbXKvU1+PB3ynOq7LNMebUmkYdVL5u6fwpAZUbyV46ui4Dx0p/H5VtY6KU+n3A/w58WGs92sP2VFJJJZVUUkkllVRSSSWVVFJJJZVU8gYWtZPU/TZd2OQIvQB8DcbB9Qjw7Vrrp0vHvB34T8A3aK1P38p1HcfRvheQJpF1/LmuU3Iia1ozxoPZkBL3juPwwx96EIBrz12gL2k6+5KYuw4bdFJTkAvRIGFJ4NBxktI5bK7VHSRCLwfzMz6RIHPSTUnXchwcIT/spRRpR75iQ8odn3th0zSx5VqIPoHPgXtMG/obPZREKVxJfdwfnuSDf+ibTBvvupfN3/oEAAtvfwd8nYH27tt/CoCNjWso8XQ6bkHGV6s3bKQvR91kWcbsrOmfmbk5SxR/4fxFFhbmAdiS8tSNRpOaoLGyTNsIYi0M6XWNVzxJEwu3nxfEV6PRsFHKK1evWlTY9tYW/anpiKa9eWoOGPLoVCCYUTx4VGv9riknvmJxXU83GjP0+wPraHbQNiVoPPBQ/PGxP/GNAFw7fYWhICxms5hmU4oUxKafN7KEA5L+0U8SkiXjvu+MEvsu7jrQZJBHdQVt0XCgPme88p0oQ4k+aV+xJRDp8y9sAaBaLsNcn3yPY/eYiExno4snkcm0ayJFh9sNvuZd7wZgZm2bFyODLNr/1V9F9pwhZzz2oz8OwCAZ4eYBGTRpWvL8Oznaz7f783QMrTMCSfVYXFy0CJTtbdPeLNOGFFr6tC4EiFEck4yR3E/CYadBXvNdOXqnIOstUtpKxwsRdEaG1rcJ1pW3SDnacYIpQdCdyKLyHz//pwwyc+3MZYQbl1YSEQuB/KykbXS1ZlaQp1GaoRYkLThObXBm32KNWKIvo1yXPEVdYNODRKMFyqx8h46049ppg1YczrhEoiv4HsfukrFpe4ArehwL7PrNj13lkMRS5+65m02B1m+dfglPkAe/X4iZR1lc6hdl06qXlpbYWDUI0iK7cAdUwJ63A/6sFKoUWbJBqqwUWdJZES2aKuWcjFLEcixaVKB1Gk2D3BgO+jZSmpHd9rFJKaUd5U1unIiYjv90PY+PfevXm/ZduM7ljonKnZwN6QvK4JAQgvf7EaqezwcaZs07G/RjtMxvcwfq+HnRkg1BiyjwZo0+jVJIJfVQe4p16fL4nEGyrM25aEFgEHjsP2Yip8P1PlGQp/2bceMd++5iUdI7so0NDkmBlMHBAwxeOgvAV3z5CXN+lpTQBxM2TB6FLqW3jiO+bvGz32EaFRtyJN/4Jz0FQQpTCucwfUjL54A9GZvKulSO0k+7TdG4n/uO3w/AytmrbHXMuLGkM2R6oynop9EwoTUb2Kv7c1LoYZRYkt7WQmi/8ViQoM0M3DkptZ5ofNmeObApzUguiC4t+AxkTHuxP+Qb3nYSgP61NqmkxClBSV9+6Qr7ZI6a83wSGROvDvosCcr0+wQRljkJdSnXrnVGt2PGwiiKePs7zVw5J7bS8889Z+2iQ4cPc++99wLwyBcesSmLvb75Hga9HqHYRGmmbQp/3reT/f2Od74TgEazydkzBs04v7iIEvTQKIrZXl8BIJCI/aWLF5mdM99JZ2udY6cM2mx5ecnaY5/+5Mf3bmwa+7Qm9Xw82u44ip/+H78GgKvnrhELEmEui/FkvPGFpL+VKmqS/tPNMlrzRp+244RM3uXMvrrV5FgQO4taoebMNYYxNAQBnSpti22snNsCYG0ptGOPdl2OHTf9mKwXdjgy142evcphQUuQZiSClt7qdK0d9zckLSzKYuYXjA3W7W7b7AXX9WwGRI4Qdj2vZAtxU8TO1BTt3XIKbxHt8HIky2K0zm7r2OQ4jg58g0DMKQaU4+BbnQj4V//yXwLw+UceBeDM2XN8x5KZe6+dvWYLMzWz2CLdybNQhjENybzpphlN0aV2nJLngs0shjYxMJIxaMF18GRN1481gaz1EqURIBjbF83Y1N1Xt/bWQCmrS9FaFz9HxW7JmPfCCvNi53qeTyrI/a3ttkVd/0BozlnZWCMSigVjx0x7zzd+HX/uf/nztLe2AHjueUPmf+z4SR75wufNPVZW7BzleZ6d22yarblJ6bc51vd8m1Zt0F0T6K8d6J6yiN2h49s6NplxyWWM6Hz8iJ3bleLnvv0bANi4vMZqnhaoE0KZu/L1rzMqUu2HWtNcKHQpk3FgfjEklf4cii61XAhyHYw1ocylKZqRHLtyTjKwFgNrg2eOw1HRpXSjhxJieUf8A8lzK9wjGR813ycWG/0qClfWa9+1arJnhlnpfZZ1ZgylJasl5aDT8vE7beGpqPQy6rRsu5bR6mP3Krcjp5dwuXFqtxpPoZTzsizZVZf2zNEFoJT6RuCfY2j6/43W+geVUj8AfFFr/UtKqf8OvAXIS5Nc0Fr/oRtd0wyKIUmc4MtkX280bNWsLE1tGmP+Lj3Xs5Dh0WDI93zApNhk3T7vEJ6b2rxxQDiBwhNIu09KMmO266aHd34LgNRT5HUB52ShEyTQEW6A5eUGQ4GpZhr6AlPtSDXH7dUBqRj5WZoRiKOrHrj0BRZ5SCba9rWU+7/y95mbnTvPu+82Odg8+BCpLFy++of/OQCPvfAcg45R6tnZWets6HY7DIWDLK+MmCYJm5I+dte999rOytKMdUkxyyfou++9zziCMNBWy/OVJjRl0XfupTPMC7x/YdGkYp07e4alpWU5NqUvVT4Gg4JLYpq4rmcdKGma4oth2u1u743BhnuDI3b50ES36kHI93/kHQDE3T5LMugEMjCGvsNAuEJqHkSyvdUMGV7ZMue50JMJd1HuUNeKbsNs27fcYCD6pICOGF99MRQ3V3sMrJMO9t9v3vFcI+DSRZMOlvP29M92+OYPGX0689nf4RCmn49/wzfw1OoVAP70r/8WANe623Tapo379+/n2hUDyGzOzJFIGlrOtQTafndFFbHckJPJUBdGjOVgo3BsGkfZlP7OxyjH4aZQ+jRPiZ0wBC2sOsP1fJIkIrvNBptxdPn5H7J1pzNiXIqNoefzj7/uPQCMtjo0hYvEEYNNeeDlFfOUJhNdcusew1VjcOE5SGE76uKs9XTB4bZvsU4/T3NV0BNd6grnyObaAB0UHFAzJ8033Qg8+pvmu/Xl2YINzXsdSaWJBiz55ncSpzwzNO35X6+YhdlKvz02uTbyKmhhaHln9LT5c/qG0q4phoucY50RWTrdOWSdn+WbU7TTKU3UupjI89RgVyn6sqjdG0eXI86JSYOx3O6JZy9VOmrWW/zE15qFetTp0RRnea2R15LKCGWua+uEVJwTYc0jvmbeX+QrPHEkzubVeBV08jSd+ZANMeZ0BiNJ71HCk3Jhs48nc50bZWTHjcNgvhYw2DB915dUo2Do8p7DJwHYPHua9x4+AcCW6/HIORMH+1uXjKmwNhxgeaV2cSCXOnJcuabZ4TeTUoqRUbkJfZo02qY5t6fs3nkTRUa6h46ucvWjm92iqHgceCHf/xViN61sM5uP5cK5llI4k2cX6qSiY/VGQHfNGPAjD7I8vpenSChFJqlE++ZCIknZ0HFGV/Qi5/i60BviywDojlKyI0aXvEwTSISg1pfA2to2DZmGjochc7L//KCHO2+Clz+0YfS27yuaTdPetZXrJMJHUgtDvv73G0ffmTPG0XrxwjkOHTps7ut7thrjpfPnrD2a2zla75ItuotSfOVHTODyve9/P//lP/0cAEvLy+SJWZ1Oh17XfJfLy8auWltfZ0WoJkaDvp1L77rnbtbXN+WZLu2N3eTkfJflRcmNglIOuZO15of87x98KwDNtS6OLKoWhXfW9xSp+CnSUOFLIDb0XdY3hNPId+jnfLv5Ykcpy29zcL6GknQi4owNmeMyGaNe7EeWjoE4o3V8HoBZz6EnTo2mfIar59ZYlHXfbLPGsuhTr9vn6oKxgf/hdenvURdPAueu60gFMxjjkxHF8P2AOE9NezlrsV2dG+UATyltSE0bfHYbkHYfF/bG0eXqMKjh+R6zkv4bJQnzwjvZ67apy7e1b/8BAL7pD3yjDdR/4uO/yVfExs5trrZJxGXVyIOwHqQCNiBQeHVjpwSBy9amCaxoT9EVvq1QF/OcLw70/fM1MtGlLE5p5xyFMt5cH8ZocXR4qcY9bJ5jxnOt3bSQVwNdHRBfNTbP3PICB+S+vW6Py7IO/eENM2bGtTrra9ekp/R0OyWXaby2IkeOmeSqeQGB4DgI3oMLFy4y7Jtvan5+nvz9b6xvYIMiu1RPHNfnSb1SjAdVBHgRhgzFts2y2+3ocnTO0zo1hbLc5ilSC+r8wFeacUmtbJNIZcFlCdwqF3RNnHQuhLI9rHlsrOU2uKInvHyhrNFTFAiAZv9CHWSeS6KEjvATJqJLV7sjHAmapHHKrAQHG47DYNvo0qzYZNm5DeZFv9S+BY7KuOQORrwggcvvuW4CNxvDLlh3btEnjuvavtLiDNO65LhUpXWXcnDFyTQzZ9q1tbU13tdjNmk5zbEUeDYbJxxWuS4VFdNLO0u/y+cV80+WRbvq0p5ydGmtfxX41Yltf7f0+/ft5f0rqaSSSiqppJJKKqmkkkoqqaSSSir5vSOvCzL6lyNKKfzAl6iqEOZ2OtYZmKYpNUFA1CUK5Ieh9Qe+7+4jNMS772dYsvm6gE5GKqEnEMPmrMNIokD+Rh8l5KYcmGUgaRwL4ule9zUzkbnu9uU+4bxpQxq4aElB2hpJBLvlsShAmI6CayvGez+TOjgCadxeNOe0WgepCwTx6Fsfhu/8M+bE3/wkrqQIvnjdRLnDwKMvHdHv94mFPNbzikp9OQKnVquxTyoGXb54kUNHDFm95/ss79sHwKZUSdxY37DQzSSJLQS/Vq9z/qUz0u+xJS68cM5EP9M4YeV6Ho24sXieZ8lT0zQuiM/RJULE3yUZQwDcWN5z6jCBpBKmUUooVRXn5N+hmyGvgUbLI5Uodb8ztMSrzeMLrKyayFIoKJxB4FGXQN/6lR6NPC0k9EAQN9sSdRy0QkuU2k9TzgtSrB5rRm1zzOHDy/JsIcNNE3k8vm8f936dSXO6+LlH6PeMHp4XpF+jEdq+T+KIRstEg0bDPn4gRNKeRPFnZ9nIK0KV+i7wQ5IcCp3kRIe6ICRXDmmOwhqD05Y62QaJd4lmjUUQpqAVymgLxyVNE5vWuHdyq9cvIl3vv/uohRu7wxQJBuGLfvWj2FZJrC94bAjKz90e4giRv3+sxWjNRHha0kfbaJoSjV6/3qfelGiR65ITSm7L2DZq+tTk1SQorq+YKNUMLpmkPAaSnnvkcpvguIkU1htN5iWFLep0aUmq5IpECicjjTlC1BQgkMhSmfByTMpRwxKayRxc6srSe86Sot7AWKRTUF6lbap8P+UW97Ppy5mNaCo08UgQTJ6HkyNh91CdHMe1fWNSe8tooYnIV6kP3nv8IHX55lSsLcm2K8+SJDESsGT/YshGnjay2kfLoDV7ZJErok+5sdALHOYzSd2/PmIxT4sNHCKJSnYFoRG0AupS3a7vRERCWL6mh6SCXlYSNT9QmyNeNQjAo/sPoiSluX7tGg1J9ViXvnccpzQvlKPJU6SsN5OIuFcg5nJ5dLK00dYOKEdAKcatm+qIKg8HeyTlKkW30AHynO89cRBHUtOdLENqmOA7xdxnieZ9uJ4f24/pdIzNMXdigYuSYnZACHbbCmZFBzfXhraQRhZ4+FKt7FoqRVvqHq4cm7kwEkRgohWpzHNHpQJhK1M05ftVUUwqUfNTfo2L8j42hJTcVx5taVeaV5cCwnodLzB2z5WrBu3sByGnXzDpPw+9+SGbJus4DvMS4e51C0TXraDmcnnLw28x/ecqjt91DwCHDx3i/PnzAIyGAw7cdRKA97zn/QD8u//wH2hJoQbPdbn/TfebY6OYWWnP2sqlm7ThlUg+zkx+W1PGahvVL85+38lDtGTcjXRmx9GcCLqZQF3GqWzWZVvSqPpbfRwZm/zlOdak0E8jr26pNDMyf62sDpgTFAW+iytz3bUs1ycXV8amNM1YFVT0pnZoiB2OoHdn/Bq1gdhooxhX1gXLQci2PNfq0Lz3otr5eIZJWh675d84jnZBG+8mJbTWWJENp9g+SQB9SwTzpXf4MomeX604jiKshQS+bwmwB4ORLd4QhDXbh2ckpfdzn/s8Tz/zDADvPLxMa0aKhilth+E8XTlLE+qxzH2zLtuCJupvD+w8Fx6eZVV0KS8M1dMaR5A511f6zAmKmdDDEcTymhRSGtZcaqJLcZayuWZ0ZTtT+DL+eZKW6Gz3OChr1EYUUxddaoUhW/IakppB46xvrLMTCSMyuUa5QQpjNDC6eU0Q6HPz83zXX/orAHz/938/ubG0sbHF7EwrvwGBoOJcL8+6SGz67TgQftq9C3S5oxxLhD8cRbscfztFlfpjHGWUU2OMtUD2v+/Efg7KPHZOaZyctkFsI5eMmqzda0seHdGlYXtgx6VgaZb1tXxcMjrTyzKLDl1fGzBbL+uSOW9V1kHDemGDpwpWZFyadzwSScV2pThZqz2gLu1tRQnDntl/vN7ksLyzDfE7mBdW7pM8S8gt0dJkdne5h2yxPxw7Si0vmcytwWBgqZF2K0hipoky+h2jG+UiGDtSX6dcByYqP97E9stPuekRlVRSSSWVVFJJJZVUUkkllVRSSSWVVHIHyB2H6AKFUg6N1kxRSjlsWI/joNclEi/rliCSXM+xhJGzR/fxdW82PFfnHjuNFi6JtCfe1EGGmjEewiyGICcS3NzEkTLqK1c6eOINvSbEh/WwRlsi23O9iFAij+3T62xKVN0VnqTl0EFJKP3wTItwQwh4eyNqgrxKhQ+s1hxx7aULALz5H/wArBg+hn/x0Z/hnz1heP37wtsw6G5aAlIwiCvIHaimnTMzJq/dcAeY/mvNzjEQlJafpJYHI+cOCGuLlnTe8zwcQXcpx6Eu0cRue8uW1bYcTQrrpTXO5J1+VWV5T9TY1kS841op21d7I2qcO+HlnAeko4h3HDG8Aac3+/RyEqWhcB8lKd6iREPSDF+413rtLWYXzPs5d37deru3BLHTyDyGkgu+GGd44uxeO7PBpvRNTky4z3NslGKpVePCNYPYcmJYEM6o62cNq9zhesil3/qUac/sLOd/5t8D8GgS8fdOvwTA8iHzPG9765vZkG/oicefoN+XAgLacEsAFpmVH1eIeZ7BoGd1Lu7mkQVn94DOVCTXLgfrgth1ZzArY6wMskjg+5Y0f09kkqJkTK1vjBRMhkPuP2iiJOd7IzJ5bidHbiUZekG+zRHMCnHvRmdIS8ama1faeJKHvymPHwQhiZRJnulFBFqi36c36cm3WpcI0ayvcAUJoRdrrAiHhRMnzMgYG26Y8fXqQg3/rEEbPDQzR9Ix7/ffNXx++NyFXTrEyIKUC99udzh+8iRgiJUBLHnExHmO6xYonjGUZx4VckulkpWUkgat0x39rnZ7FzqdHskuEWjmc83s3Dx9GUO73e2d57xq0UBGlhXfm9maoxASdnxI2pwDhiz/vlMGtXvx+YucF16IlXXTVs91WRB0391ZjUSQVVfiAc6MGVtOv7jOvqNmPNiWctyHUhjIeDWfAYK8qV/YIs0RqYKKXlYuWtAYzfkmV4Ucv95NCaSf3TXTh5vukIPvMITc3Ssr9E+Zb+Hnn3iM77t6VR4vK/rghgUGmIhw3yhaeAO52bRggYI5/9XEOcopIpllnZ0CMJtfWKTT6aCTvUAwl9COuxIETzZOWS6yURzx5gdOAPDUk2cIZQzxBPEwUi51Ie6d7WsSQVhc6HVpLZux6eqVbRpyz57YTWEY4IltFkQxgYxT7XOb9HPCZuFcOo5LJu88btW5LnPs0jAjdM399gmyOQpDzubI5WZBDvyZ0OM3WgYJr1YMAnnQG9jsAJTD4rLRu5On7uKlMy8CMBSkidaZRTaffuE0nkTNHdfj0qUdRcVfljzx5ScBeOfb38bCrLmHUsqiX7NMs7pm2vyLv/zLZluaEAp/kesHPPH44wAcOnwEz99L877MF1RGcYlMHUOL/VEccc+9Jovghficzajw5ZB2ltEQNaz3UlIpzLPWGzG7z9icV6+28UUf8tJGfr1mEateHOPWjV6sn9+gL7qqZZw76ihbdMhbbHFZ+G9qw4iZ/BrrZk5zXZeOzJX7tUMi3/KnApd/ev7KeD+gSGTMC0IflZW/t4lvbjcExFSZOL9kY+Tk9spRBUhizAiZZpBM+/7VJNTlFtv2ysX3fQ4fOkSn06Er/Hb1Rp1QuHnXNzZtAaw54ZjSyuXNDxvOQG/rGvfcZ3TpuafO4sY5Wk5Q6hkICJ2gn9KSAk2rvSFzMjZdv9axvIF9ecywFhII35OXJHgy769e2KQvCHhfeJAOZhnIeKXm6qQ5oXmUsSTfZ08QzH7o025LEaiwTiwv7JH9S/xk36zDNrcMstnYM1Pmg2nI32mId5HVNWOf59lOnXabH/6hfwTAffffz5eEmF75IXFufynH8usePXYcgGvXrjGUdfc73v52Tr9oEHbb2yX7R56nUQ/J5HeSZszMLMizbe4tarmMHspFFSggZe2G0ndps04SDp8y9s4giugNzXc8KyiiKM1wcw7vXkKzZRDEa70hs4u5Db6NK3ZKW24R1Gv4oktumuDJ9VbPb9IXPc3HqiPKwZEssGBmhsvbRlfSKKYp14glo2y0MMPlTbP+P55BSx77v3nwd146N/acnqsIAtPGURQxP7dP9mcMZf3f6/XttsKe0WSC+NIaEB7I6yuGy9sPgqLQSmnNP4Y6nYo+LWcnKG6ESBwXTbG2y6bPNRNyxzm6tNbEcUw0HFqy9CSKLPG64zqkkjaRO1Yc1+fosaMArLUW+eO/8DsAfPQd97M+NM6Z4by5frqhGUjlnn7D56AsMmOtWBeHVeK6uGKMJqPcsHdsNZhm6LGRQwwdx5R/AbSSVMvFkGbTvOBlDc1FM3hfzjps58SFsohtuAHpyEzjH//ov+bUR0zVmroTU5fKhVfk3zTNrJMpCDzqQpS3vblJKE6vfGJvb29bWKpylJ1UBoMBo5F5jrx6olKKppBErq2u0hJDr9vtMBAjDIpBMSePn5mbY0PS4HSZoNxx7DG5My0uOx+UNlUjMQZkZAnP90iUYgzcWK5OMSZl6KXpo0+fu8If+KihofuxD7+TvlQx7Mr7TdqagVT2afuKfQJZTTVsymSZOi6OLNAjSW2kVrPjcKg0nTVxEqUZ/bwiR55itlRDxlsaScoh0afaIKUux265Rl8fao+45ps2bKQjhqtbALjzdQ6Lzm33zMB55dIlrq+YCTcn3TbPX+jRWPWx3CGldMlxqel0u8WJMAG7n2K4lW9U+seemx+cEyKPGd1TDDmt7O2SOCEIQkZRuQLWHoja8UP+LPVBvl+2ffr8Vf7ox8z38i+/8h10umZsSmbEMdWFkRB/1xoBBzIzfCsNHYE/Z46LI9fOcv2quaR5WlHNoy9pPnige2IManH0LwS0QqMrc8MUZAwh1ayJQ/6IOLq5tsGGLFIvNzyWEmPQzTY9FuWZrowZHMUztyUtwThNzXM88OADADz15FMTHSnPk+kp9nrJYaWx6XmGS3NKSutY/0+ztnThQLETqLIL2iAMmZOiG8PBYOIet1cUxqmmNXYMdBxFXdKzhsMiBTivaDuKYvtYn7lwhQ/8lFkQ/+I3fICDMmAoqSS13U5YydM4OkMOLEp688oWl6SAygNvfZg1SY1PxEgaqoRMDLE4jaEraWqeotE12+cWjXO701SEUqVubpDhitHfzmJbea8lwaQPfdVXcfUxs9jfWlth8JiZC6OaywHp/4txqb9zCPtkNaqp9lJpvMnzTFXJuBpThfK1pulLaZVhN+kxPSxul5WMvdLl7XlFdaj29jaO6+32AHsguy16y+kE5veZbsT//HOfAOD73nE/mzI21aVq5/Yopj00x27HqU2v1xq6YiPFbuGocoWAWdVculLBbjHz2OhKaqrvkMhcmOTOj7mQWXnl81FGKvNVkiasi71VE7ui3umxJNUKO4FHmBq98wOFKwG5vMKvRoGTO5ITa7OMRpF1Tubz3/z8AgcOmoXQ5uYW/Y6ZK3u9LtPf2y5jTMmZeM8DDwEQSrrSL/3yr9oF6ezsrB0fe93IUk/kBOejwcjaZo2az0CKfGxurFlny97ItIVJmWw9LRaXU0iNP3PuCt/+b38dgB/60NtpS6XLWXG8DzsZ5yU9bH/kMKrncwC0S3Ndrp+RzHV1HPqiT7O4bNi5ziGVMS2Tua4/H9JyzfkzUcI+cYAN0hEbUqTlmAQug06fQHSrXw8IxJ4N6y6HhMbh/EicoShbmTeKhjbVa6oulAMu5VSeqbKLLYGx4XPJ00ALU2m3xeCt6ivTnQe3SZIkYXV9nbnZWRwZ033f4y1vfRtgyMsfeOBBAH7xl34JgI9//Dd480Pmu3Fdl+/6ZVON8W8/dJSOfN9OaNo76Ggu5qmmA4fEzau0KdoS/Ekdx9pNuYNM4TDIdUk5VpeUq3BlHnJEp9yFOl4gtDBRSiSBwyiLWZE02GNSXfHg9oBhXrii7uMnMk71trl/3jgfzpwrkXjfoMrymNzCtGHSBo3dvi3z8uL8nJDQQ6fboVU3uuvogLk5sz1fV9537z3Wdmu325w6aRxgjz/x5FgwECDLEhtsdFVWWgcwPhfeVskn11Jgp0wroHVRZKhUYCh36vzO2cv8sZ8x49KPfPjtRLJO2AjMsWGk7PjTGoIOcqeOQ0/GK+16dnGWCD2NV1f05ROc9R22xfbxPAdkjZZXORzMhtTkfs04ZVkKpXTTgaUBOCjfu7vdhTyttB7QF3uw7isOS3D0bO4nSTXJoEgx3BSqGdfz7LvL/QCjUb6uB1ThPMdx7e/O9nqpz+3BpZ8OSvo6y9IJMEt+6k5bY5rDy3U9SzeTpdk4hmFqMapxqVIXK6mkkkoqqaSSSiqppJJKKqmkkkoqeUPIHYfoQmvS2JAy5wTrjuMwlIib5wd4NvVOUDKjhJdefAGAc2de4sR+E7mOD8xwt2siz6cvm1Sb2FU0hJQwHqUsLApZc9O33MT0I5KG8RHGEpl0Vzq0TkqkvxszIx79tSsdFuS8gTC4dp2YVNjmrmvNjDbnHd23wBmJECiB4LezHv0FE6Xrnr/EW6QRv/LUC5yXqF7uKXXQBWlxnFgHqef7bK6Z1LUTp06Z9s7P29TP5swsnbaJqPmeTyyk8KNh4eXNoalpkjCQvu60t8dI7PKK6BaBpbGlSP1aTchZodls2fPyKGZ7e8vud12XVNBzvh9Ycs8sJzDfEylFWZ3CIz8meXTCdYv0TByW5owOzR6ap5WY57kopMr9LAUhjVfNgKZEcjr1wHimgWwQo5rmGZORRB1XOywcmweg2xnREljr9ctbIBGnVJAJwYKi55nzfC+hiTnPDaDXN+8tE+TGl1yHfUtmf291i5pc4/PdiH1vkQiZePofkzSIHd2glI0s50gXz/eJJYKcpSmHjxgE5eVLF1FOnkKWX6AEaZgMBthjpiGzSr+zjKn5P2Ow2OL8XLc0iihO7N+3X24QVhsL5E9pO4plSVlpHZhlZp/57i+smXRlHIXfFQhxrKlLBLpf8y24PRtGqIagBiXClK53WQyNjo56MXXB8V+/3EbJd+ZYLtuIUTNPR4J6Zs5b9Hz6EslaF1h+sx7y4H4TgVzqRtSkAMMvr25wJZYxQJVDL8Uz5wikQb/P9WumYMU+KYLheW5RrIAiQp1lJeRO3uCshBwoZyOW0tqUcor3vct7z+eMIKwzGEgatyBGgiAkk/EgHkVsyFg6MztLU9CtvZx0/3aKUrieR1Qib1WOa9vVaDbsHOfmaOJMs902bUmTjAOLcwC0Ds2xkkjxioHZX9cuM0IeX1MRrkToBp5DKOit9bVN3Nl5AOZkfG/3RxwIzH37nW1qNdHDq138PBp+3fSR98B+usI2XndcwpFJO9pX02wL0kf1ja488slPcZcUN0ijEf6miRx/qtPlYo7ALCOsxkhNi5TVvK9c0ccx6D2qrOylvqa0rawrU8qqj93bHOuoUmbiGExf7dQ5p4zcyIppx1HTgpm3T3aku5SeY2p6eNGX2+1tDku6cXOpycKciTJfXjPpC6mjyMRmIXRYlBttBU4xV/YTEpnnhvI+0q0eh5bMONeOEmYEZX6p18WTsWkkKZF1L2FTOCFqjkswNHPpfk/TF/SXJ8ieLAxoCpG4G6U0cgR2u8+5HSnt40iJuiBWPc9jW9IfQ0FjHDhwQEjFYTQckqRlO+HlzCkFOnBrzdgKS0sGQV8LA2vTXTh/jr4grJVy2NrcsG0DmF9Ywpc+S6KIUMaGtZWtl9GWVytTdEc53CxdeJ/YTfP7Zji4ZMaF69IXAEN5p+u+y5LYpL2aSyqpVWk/Qos+xaJjyWaXI/vNmNyJUpvef7HbsWNTKmNl4CSkfk6RAQ1tkCyLyufMwGwfiD2eBj6LMpb6nSFNmdd+a7PH+VGODjfX9X3Xpo1q7dtMBz2tH8p2ystRn90GCr3LZW6ZYH4XlOeOseP2iVKKmu8RxwlxJIjF4ZCnnzbULPfccw+f+/zngOIb8VzFSPq92xvQksda2D/L4rz57i9IISxHFe9x3Xc4IO9jUPesDZ30IvyWeWeJjDu9rR6HAsleGWU05Tu73OngSqaPL3NM4EQgc6ITusxkZkyr+TVOCy1OTlyuQ5dDC/Pm/JIufWqzw6cuXss7xfxbTu/avQNvvH+KmMwo096zZ89y7JiZd7e2NlnL7ZuZWdqy7vPk2U+eOslb3/Y2AH77t3/bIr6+7Y//cX72P/7c2D2GUQraPLPjBhw5vB+AK1ev2jH09oua6DvZVv7O8oX8GKl5sW44uGTW47PLLWYXzVxwSTJbZpTLdUEdx4HHfhn/+7WCViPpjXCFxigR/epu9jko41JvmNAQxPOVdhs3ygtz5cT/KVkgc58DDWRN4AZcHprxv9Mz30mzFnBc0HiqM6Au8/gvbnY4G03a4KU1k1LWps2imKYgUHPkskLb/tFZOrbUUqpYS02VEgJR51kEY9sLKehFdGHDaXeHTqdpwrvf8x7zO0l59rnnAJOBdiv6XyG6KqmkkkoqqaSSSiqppJJKKqmkkkoqeUOI2jtkw96IUkrnJT9zgnnlOGSWVLlho/c5wZrjOHiSrxpFCco1XtrFhVne/+BJAH7oI28G4OyXn6PTN57ZpbqH1xIeB8/lPs9EdM5eXmNTcl1HUr5Yd2JC4cHp1hzm5fdiM+DqtvFqxw0ppxyEZEMTKezHCQrjOX2wdYDrealZiXL3EpfwxF0A/Frm8VO/8AvmWlEfT7gBci4GnSWWR2B2dtZGUmdmZ+n1xksfNxsNyx2QxLFF6CzMzxXcZuIpTdOM7e0tOTZidt54vK9culiQQ49Fx815jWaTfq/gdsq5ZZaWl1hflYi/tHfY77MkiI5ut2vPy9KUI0dNtOHixbOPaq3fxW0UpRztKI9xxAmlCBhMRx8V/D05omR2doEPv+1eAP7aO0zu+pefeI6uoCb2zYTUc7ZA1+Uu1/TH6SsbbIuuplJePe3F5LQLw9ClLn8stkKinnjUTRAUr9Fg2Df9GQ1TfGnPsZllrko0yekKCqef0ZFo1L/p9HlsxUSQMrCFDHKyybGHLr3fsBZa9F6ub0oplhZNtG1zu231LU1TExGYlB1cVfn2ku89fx32/DHI1zgqYsdJjB9buq/rOCRpQqazlx8Ku4Eo5WjHDW5+YFkmCXzl79m5Rd53n0HFfc+HDdLumS8/S3dgnnWh7hEIuiFshhx3TdTnxctrbMm3rGVsirsxMhwRhQ6h9MdMw+Paphk7asKBQhCSpQZBkIwSHC1j0+JBznaMXqRd8+9CL2VRmcjUD6ys8bgUJFCOY8tRpxLRyRGa0lGWM/HyxUv2Wyt6YvK1CD9CWLPHjnJOv0kC1hzJpZngYhgnCtdKoabk9i/vP1DwYUm0VunMti2JYxIZV4eDAU3hxOl0t2/72OQ4jva90NwvR7uWuFi0cgkFOZDzVdYbTeaEW3F7exuNmSNm9h/g973DFGH5n/aZ53ris0+QCDfRsQOzzMyY79+fq/Hw/CEALvRjNgXhtiklyueckKYg4K6dfpY54faaVyOuXJYIcD0npJhhGBm9iPoxrujTwcX9vCgkqqHMdXf1NY5EFr/70lUeFSSjIX6eIJAt83KVS1MrZREuca5zkyitfIyZKIBidusSifMNZDKKWL6u2VDaPjnWTcIjxhFFGSla71aB45WJUo52nAkA/25E2FP4E5VS1t6amVvmA2++B4A/eY/RtQuPPc+WoNvn5uuEtXyOCnhQyN/PX15lpSfRcF/Q370YX3S64TssSRt9X7HSMWNTXVjJB40aaWZQfv4wo54I/4dXtwVanIH5Do4MCq6d/6sf80J3C4A0S+2YlPdHkkSliL+2xSZQjkVW3X2v+Xa67W368j0EYcj1KzkB/S5ImFuQt73z3aYdgg4YDofWpuv3+/ba99x7D42GmfSfetJw2dVqNct3GgYhF86fM9eKY1t0JYr6e2M3TerTmOjSvJ2fVHB0lb+BhaVDfPAtxsb9m+88AcCZLz7DdiQZADMBtZzzNPQ4Hhgk2Lkr67SlIAGBuW7cTexc57uKhryKes1lpSP8NaJPabOOOzL6FPYy/MycmM3Osi52eCj/LnRTPGn7D6+3eUKQdVkJkVmWHDTaaDQMtyTQ73bZqRu76EqJB3b82GnoObUTGV/+oceRHFPvP2Yq7fz+8/eVZQn6NttNvufrxfkFPvyRDxtePOA3P/EJ+x0u7z9ox/IceX3yxAmef/55c77rWBSWdmu8503G9v4LD5j1xPNfeob2yDzLzGyITDHEvsfx0NhNZ6+ssyXftRsKSrAb2wwZ11PU83VNzWXYN9drCJQsbdRB1nRBXxNmQl7emuGaIIBcQeGcHIAviKZ/0ot4fFvmxzjGAp0sAj1huo5Me+G76MdUGR+vLGdyFFvddZSyBc2aMu7UGg2OHzf922y2+MLnPgvAW9/6MF/84pcA6ORFp8rFYpRLUwq/ea5ruaCura3c1rHJjktjPMCUuqv0LZTHL4smKg5eWDzIh2Rc+mtvM2vQ5x9/nm0pvjM7GzJn1Ie+53HUN7bg+WubdGRc0n5ug0fWdvN8F5keadQcrm0bnfcFnZrV6/ipGZe8fooXm/PCpSVW2rkumfXcvpFjkao/sr7N41vr8pTFunTcvthpE9WbLdIk9yEIn2YUFfaMU3B4OSUk2JiUeQancZmW+RuLk2g0zVgeRSOLus8ybbOA8mIGqmRfve1tD9PtGL63bq/HtesGbZelo1116Q51dO2spjb9Y9+50FVK4UrVgDTVloT0Gx42hsz3vOU4G+vGAF+er+EgxJVxxrI4lk425jknkM6rku6hcBmIEvp1Dy2w60P3HESyjbjUMaS+tcwh0+a+XhozjKUCgxvwaxtbAHx4znw0/vaQn9owbThz7QqpLGiyLLEE/DkEVenYVudaWFpiVVKCwlqNw+IsymU4GNhBXFNACFvNBrFAe/Pqla1mw1ZlVGjOnD5tzlOqIL4sp5LJP/sOHLQOSNd1DTE/EMUJW5um33zp0ygasbRkFkxJkljH22DQ58DBwwBcuXx+jww2P/+rtEd0p/xRy7OqMjmfchhjxlOm///AW43D60+eWubCipkA98/XUcpcb5RlLAXm/R0NWlzI9UlIWV3lspZXAar5DAemP+676yC+6Ox623zgXqbQsi0dDa1uXXd8PrW5BcAHhaB+bmvA333eVLfrZ7FdIKMK50Se8hMN+5S/sdzo933f8jkvCjH32vo6y8vGsNje3rJO1iRJmU4WeDM4drFodMVyTTOKAXXaYGtOlLZqS0yepSVjVLmgMzKd7M1i0vVh0tiYnksw7QKlcx3yzPKvFWf8d953gDWpgjg/E5BlQizquSzId3TIb3Jx20yS12Rx5ymX9S0pjhG6RJIee/z4Mklq7tfdkgoqKWSeuZaKY2Jt2rDhBnxcKvd8cNlMTvv7Md//9DkAOkk8DmXObQl5j8v79rEhKbE6S3n4bW8H4PLFC/Zb73bzohrlBVJxzZmZpq0wm1KCnZeG+Tx1J44TO/agKPLKxowfcR65rk2ldh2HlsDxc0nTxI6rWmtbgGM0LGDTmU5u+9jkOq6uhTVGUWyDN2ZNUzjZ80VdEciJqEl6dGtmhiA0BmqSaOuI+No3GSfjN9c0GxumP2dqHl7N9On8vfeyTwpy3J1kbO0zTq9nLrwEwHC7Q6NlKtPFm+tsiaHxtjedxJM+70pKW+B4jCRNdXswJBZH13kn4NOJ0d+vkeqxi5t9vvclc97V9rqplgmm0uKOYhMTY8qYHSN9lUPvgbHUHZvGXMx7VspOMz1hS0wlUy03a6duOaow1qaZf2qHvaL2bmxS3ng7yw5gStunLJaC0Kc1YwJ9mxttPKly+IF7zaLnWw/PsrFq5q75mRD5DNly4ZAskt4+t8STq2YMOCeLu9Dz6QuRfNP3yGSeO3ZoGV++8etdE8RxUk1P0hGbScYoMe/uOj6/KWPe+xfNKnZme8A/O2v0spuMbFXFDIXKnZq2H8bTD/NF39zCEqOhmYOXloy+15szlsR37fp1kuTlEL5Pd4YdPWGcO0vLJrVnOBzQktX4qZMnefrZZwE4dGA/M3PmHTz6yBflkppm08ztnufaefPShXPMzppjz5978XfP0TVtPTGm3qr4XV4EOWZB/fUPiwP1+DydNfNOZ2drOEL6vKVgXsa3fX6DFQngXe8YG8tTHu1Ns9Cu+S56aMaYE0eW8cSRdWUgJMypJvGNDVYfxqSpeZ5V5fH/iSPrwweNk9Zf7/IjLxh7uhOPSm0vpZZJ36uSDi0uLbEqldLTJCn1zzSjQE04mW88BNhCQGOH7hyDzDWnBP1uKjvbuBeOLhPQCXjgwYfsGuED738fly4bJ/Lc3Kwlo//VX/2vADz3/Avcd6/RlWdfeJF77zoFQLvdIZJx4cEF8w7+2MEmG6tGl+ZmAhwh+u4pmJc11JLfYEUWzytiN7nKoy3FwYLAJRMn3Imjy9TENtuUII5KNPhGh71hxCg2bbiGy3+TNd0HD8ybYze6/Gupgu7PzbIqNCdpmhZ271RH1yvt9mm6tNNWyw9ttcx4fWDfMptSabkrBP9xFHHkiFmPvf1tb+fpZ00K2Yc/9AE+97kvAPDcaVOJUaeRJSMvp6Yp5Vi7MM5ur92klNKOdfDs0l+WdqBcLEOXfpfnfDPWfN1bzHruO+9aZnPd9Emz6aFElzpZxpw4BZfcGhvi7FvpmX5zHY/tDRmXQg8tNvjho0sgNvhlmec8rdBSSKU2ihkmpp3rTsBvybj0gf3zAKSbXX7qeVP1tRuXnFNj9krJyW2DD9qmv4dhzR66b9mswbfbbWuPx1FUjAQ6La6np9jUk0G83A5ynMJ5Jba48UUWbdTl8aoMJJF75emzlEAVWZKwIfQCcTzYVZeq1MVKKqmkkkoqqaSSSiqppJJKKqmkkkreEHLnkdFPleme27xUbZYVXkittYW5ohRKIn1PXjee0tNf81beLB7Hux6+l6e++AQA/eGAnmR0Pad6HDto0Cu1eePF3ez2mZfI9GhjwKghZL7XOuwT5NSbAuOF/K3BgL//2Ivmut229awORyPrDP21XR4zEBRQmmrrDZ2ZadlrtYQc2VGKWSGpqzca+L6kxMmzx3Fk79WcaVmY+3A4tNHLFUkvHEURW5KWtG/fPpu62N7espErS0APFjEXjYZ0pfx2s9UilEhclibMCmoiT4fYf+CAJbz3fZ9m3ifD4fSypLdRFBJxmBZMK0Mx88i8nvSWl0kPjT49cdVEDXtf81ZOCsrhwYfv45FHHgOgMxxwv2MiJ1fdmIWDJpqrJX1os9dnyRMPeHtIIKT926s9lpSJMi0H5vwv9CP+yZcMcWeapgYBYR/OXOM3LNJJWRRDGPjWux6EoU31zcleJ78rLceGtRqzMwbVc01Qg7VajZVVg8ZwXZc0zkko3R0ZDLujuUodX4qspKXv1T6WokQoX0JC2eCFa1OQHNcpUmyzGNd1x1DVt1cm0VwvAzE7loanAdOHz6xuAXDlA/dxXHTt7vtO8cxTJtLfGwxA0q37Mw6HDpqoDD3Rpf6ABdGlaGtAU8iWk7UB866533zdfNNf2h7wDz/3DADZLmV7P316SnxEZxNoqRzpZDp6RYhhwZQzzgtLdLtdi+AKbGnjSMZsAF2kosUxdUEvdAW6bfpLUKOORyBjzGgUl0jHswni0fHzMl0gopI4oiNp2gcPHwHg2pUruJ4Z31zXo9lqyv0UI0G97kWhjExnjKJoJ+qo9P3kc5xrA8HazCPA3MIibXkW3w9QMkSfEzhm5+R+TskrO3LPcb78mHnvejjioqSpbgcwLymL+4V03lNN6JooWtYfckyia43NAUH+YYVmTvqNrS5/97e/bI4tkZr6Yd2m7H9CiFn7va5Fb9ZrAUMpfpBqPY7Okh+eIE9nZlqWRHU0HKCYgL2XkZKlsVuhaDbNGNrL9Wkszad0w3J60FgAc/rcpGTOt+OObYe5h1KT+pjfe68R9pPtdYrN055PtkWjiL7Tld0pscwRLwrCdPiVD3JUvuO3PHQvj3/RpNa5TkKUmfd0pj7i4JED5q5iK3X6A2r5OL81wBeExWhrQEtsluOemWs+G434wc+dM8emqe17z3Pt2PHIRTPvpskAbQsQOGOFUDyxoXLia3NQ8Z7y7VmW2u/LEZTr+TMvckRSd3SWcf3q1fGO2kUUkJWnKAvY0zZNMR93QDOStK0zL50hkcIeGixKNZQxfG521kbemzNLrAk6ZDgYcvT4qRu26bbIZIrQFMTsroCUkg2ltLE/n7xqbIj2hx9knzzrW998H1/+oowhKqI7NBdMZlwO7ze2aiDFerb7AwK5b7I1wBV9itZ6IPp0zDf69MXRgL/3meekqdMNgs+8cKnc4PzBJh5qwk6iSJ9eX1srkMXjDz92xnh/TOy3SIfSdlVKsN7NPJ4GIFRlG6tk804/eLwNe2SHK6WohSEXLpzn6GGDFnryqSftOmJra4v//P/+FwDmBKXYbm/z6JeMLe04irPnTTEx11FsbZp1hKcNcnn17cc4LPPzWx+6l8e/ZMamhLjQpVmXI2KD1ztGZ7b6fUJ55uFmHy/PoFntEwj6edkztsAjvQH/+FFz3YMH9ttx4+q1a3YO+NyLRpd02c4b9Bjrb/tSy4Ucpo0tN0f8eW5ePMsrqB7Gzt/5E7SlTHE9z9I7+DIexY5LO88YuH7d2m5z84vMy7oxOGuQ33GmSjakIp9rNMrS5uyJjOn1pExH1eboXiUZH8WxRm+evGLmlehrH+ZUajJijt53iscfM+uuRCVIljPZjMvRCV3a7PZpLolt040YyXiVrQ1oSars/cE8AJ/e6vLPHjW2/U5SD/P786eNLmVaFe113PH1hgWPlmxTaxMXRReUExMIBcZ1Id2vhz5ergi+Z+3n0aBvyeh3lRJSLqf/cF3XFm4YSRZRGg8nGI+KomWOkkJtOm+CQxKb9Wmt3jKplcDm1vYtFRa7Y1MXHcexC/rywOE4Ba+CzXLa8VEVcLq8I+0UVhrPHde3jpiHDx/iex82C5+TR5q0rxvjoi6paqlTOM10FJOZ3YQNnzgxN/nOL5kB4GK3zWjUL7X9hk88Nr/mjiVTCUwqMwinUlirWQ6HIAyt0eP7AQcOHgSw3FdpEjO3YAampYV5en3TnjTLTCUDuQaATjNbBW04HLCxLnxQJeeWaaoYnjLJN5utYqEVBDb9Z1TigKqJAyfJMuukc12XSIzN0XBo31+/39lbjq5JqOeklDmhdkxIct6ONMjJ9yuw6kP7+RsPmUl9aTmgvWH65KCkGl0djWxaxEHPYVPSV+caAb4MCH/xUVNJ9HynPFlO6nquzKXF8o40IPB9x1ZCyTklyguvMAwYSd6547rFMVOq+NRqNZsSmaRlWPBuE/YuopzxQ8rPUPaeaT2eEYFxmuTfh03PBBk3INXZ3qUu3rYhdVrzdnpjH9i/xN96+wkA9u8PuHjNGCJBns6KAhmb0jiiOTKTWr3uE0k6298Rx/sFgahPbcIknNi241baXbQ3DDxbiSqsN+iLk2G3bssn1vJVy2nbeeUkx1E29SFJktInWnBcFbD1wqjUlJ0QqeUBCeUeM3Pz9CStIS7p0mDQQ8n3nmXRnnB0hX7NcPfkc1nJEeM4Dg3hCOt2c8efnnjW8qJG4lr2PTqlMc8B4a5814kDfMdR46habmUMQuMEnRmZMWq/5zEnZw26HVRmxnBneZ4VMZT+2iPGADxX1qcxZ9E0A17ZdPrxOXuavmU2LROd2TR70y+7O5nKd6zXG7Zyl1PSm7ItsDuX4LTxvdhWHhULG0MXZ5RTDMa4xvQepS4qSV3cZfE6sdgp/p1GE8FYSiyYxVRujy0tLVi+R7/T4QffYXhODh70efyKcZA6khLdzBSzMu904hGOmAZuzWck9/z7z5jUjHO9PkrnVWIzW/G01ZqxaffXrpoFQBIXKT9lqgFNEegpuCPH58zcTkmS2AZ38nfbmp219kteZXin7OLZKfd1SclyHpzlfWZxtLG+ZoNO8wuLeKKb73j3u21KY1fsuLm5WR79kuHGCWt1WxFW64yB2HSbG7eXB8c8Ss6FU6p6qzN2pF4BU7nryqKnfEOqWBibe5jfDx3Yz3c/bGg45vf7XF4147IrMXs/hqZQeQx1hBqa69WaIV3Rs3/4xFkAznS6oKa9q9I3OW0u2+H0GbexVCmJX0OhQ7s6sncZSybHnh2OJjXlp5pwjO12L/swu2wf329UVpFl8e3n6PJ9vby4RLvdtg7r++6/n/e+23DX/cqv/lcuXzbfdV7Ne3Vt3QIEgrBmKTT+8nf9eU6fNSmP//FnfxaAMAz5qg9/BIAz586zcs04p4+0Gnzzgnk3Rw7WuLRidMmTOd2NNXX5xoc6wRmZ91tr+PTFSfCPvnwOgOtRZB1LhsPvBo5DVV7UlwaDUlp9EYl9NcbkTr3abVUyfo7Z22zULV/vffea1L3LV6/R7pix5+D+ZYaSzjkYjjghKdh1SS9/9tnnicRmGK80rG2F7esr1/YodbHkADI7Sr+n2bEU22wnldMYnfz6JSCBth35wIF9fOcDhuLh/hNznL8qNrjYXAsoHFnPbWcRbt9c1w9dm8b5PV8SG7zb2+Ub3iWgUJZydfGSTTv9OW+c0Jc765UqKIZ63Q7j1A6A41r7ynGKKsvG2ZuPH4Utan0eWWz3m3VZeX9u85fOt2vrkj6X5vYsHVapi5VUUkkllVRSSSWVVFJJJZVUUkkllbyx5Y5NXdwZ8TVuvUyXozH57ono8ZTo+BjiT36nSUwmUZpnV1f5x0+aHf9q3702GpjlsPIkoyfR/kXHwRdUwHxrhm/+lIlun28bSG2SDG8NyTXR3marZaOIWZaMpZ2BIVLO0VS+71ty00G/VzyTeFvnF5dsdHA4GlmPbBiGtsJGRyDxG5sbNuq4trZmETK1RgO3VMHKFwbanFx6NBzYzkzimHhUIILyqGkuYRiOEUknEpVrzczQaU+gTG6juK7LzOw8rutakllKKTbk0QEYR3xZr79T8pgr5LWTpOX3W/bEm+3PXL3Ov5BN3/e+IziCcNHa9JE3iNgStMG2UpwUdInbmuG7HjEpRuclLXTMez+J4shljIw735+NPVOjLmk8/RxtqGyVztEoKqXjMCUaUNxrvGpj6X7lCIONAt8gh9Dq1pR9jlugupSymSCetDcIQ4vu2d7aKlqpHfRepge9okvvFuXdiXgppOj/Z1c2+KePm9//8CN3E8p5iVQRItN0Beo7r8EVIv/GbIv/40umctEF+dbNbabpbilCdsOIWP4806LPgg6s1W0a82g4snqVk0RPInDzNIA0SXBlfMtTBh2dMS8p2qNB3+pYFBfRIBwP0hx9kSN7lCXHVDqzSBE/CGzKRKNhxsdBv8/MnEl3WV1ZseOY2vX5b49orYnjGNd17HcYJSmtlmlXr9ez/WAjX+Uopsb2rYmo5RV3ysfkaIQQEqMvj529AJjo7A++7wQdweTPyRiV4nBJSJwHW320EEUH24q/85hBmZ7rllJLyxCpsaqqsiMrIqR50zzXM5WDAN/zGOVpZlY1HYuucwBXUnDTNCvQpnJwENYsWrVWq42NT3m/FeeUSFF3IDumGAmlGHkBwNBoiyovUC56yrUMWb28l4xiXNwr0XpizC1FrKeSy5ai17YAREY0NOOFL8iuLI2tbbG9tUVHvq04SfkHTxmExQ82D9GUebEnc1s/hU2pxLjsuNRy1G7Q5O8+aRDw54TY13VdU1gEUE5RQGJjY426zF3xjhSdvN/lW3ecHVWAHcctpUpjf5+4+14uSRpOXhHR9z0GvZvlvd8k2o4uZSYpGlKNOkd5BLU6fSl4Meh1+f3f9AcBOHv2JRYfMBV4Dwsp/dmzLxEJAn+m1eTocfPdrly7agt37I2U9GgCkWh/l48Fo195gQlcO/6aDflcXiKS1sX8nl/36WvX+Wdy6e/74AlqMnYMxQ7PEk1f9GlJK1ur1Q1m+aEvmjTFM/lcpybnKT32z/izlbZNoiwmUZFKWaqQaBRNXHCaTNs/ZR1TRpjuOG8X5Nm065bRpFPbsnPtsZf0IUmSsLJiUlZbMwal+fzzL9jKou9617ttpkpREClgbd3Y66PhgE7H9Pdv/MZ/Z3PLoEb/9t/+WwD8ox/6x6xvGKTj2TNnePvbHwYM8venvmiKOvyTxRPUBaU1knEwTTS9vtGlBQ1pnrESNPmpCwa5fEmQlVpnRGVb6QaALnO83nnAWHEQPfFvLmVM1s3eSRlVqSa3MJ6il28r0JO9ft/+fvaFF8uNtz+PHzUIuzNnzzEcmDl/cdGg6+bmZlhdGZSaUtxna2v7Jm1/tTKBurwheknt/KbH/gWbRJhNXtf0xbPXV/g3sun75zzqAnpMpZjdVgJ1Qb8tZpkd59yZOf76Z54CBMll2166hbUlpiFNy+srSutApyjYNQ3ZVkaXlqvhltQrt68812PY7+04zxFEpUaZfsGgq3MkWLfXs+hnkz2Xtz1PtfRwcvqQrKCncD2X1Kbrl57HorwyxNwj1YpbwWtViK5KKqmkkkoqqaSSSiqppJJKKqmkkkreEHLHcnTdNJoxftYuOa3aogXKXtO8T3RWIF4cx7FRX9cN+YrDhvPqB95keLueH2XomiCSsozv/4JBSqy3N3GcPGo86a2fbPtu70LZNgZSqr3VatmIWF34MNrttuW86vW6lmB50O9x1913A7AtnvQoGrH/gCGG9TzPorBqtdBGTXMUwcb6OmvCvVJrNArkk5wLBgmRcxHkUZl+r2ev0e107LFg0GmA5X1SSrEopU2DIGRdojW+79l3dP3apdvONeH7gV5aPkgSR2wI4b5SMIVBnXFumykXG8vpzj3RRZ6y2TSe823OS3nvEZPf/b/da3i71lWIrpn+ao+G/P3PGjLW7X53OqJGlX6MRWomI0OlbbrYbjhqJrz6QCi52XGSWA+/uinnRml7OVpgI7RlbiC9g29LblJCdO1Cfm6lFEmW7eXgsvn8S1ER1B7x4DjasXnkL0du/N2P/13WrymEnlrxTiGj/8v3m7HpeuYSe4J0yjQ/8jkTQeoO+8U1yjpVRuBMC0e+rOiuObZWr3NAxpurV65YEvAkSelbBOEERxz5ezR/z87NWa7AvkRaXaUJcz4g36cjBS2U45BO6dam8EcsLC1b1M2VixesfmRpQdzp5GO/51ni8+FwOFUf94Kja5yPUrY5jiEgBdBpiXtqjBVK9hfRR1UidM/KH4YuSjaTCRrGUZY3QmvFe0+eAuDPHjRj9pV6A0f6cdTv8S8+ZziCtgeTSE7TsvFNZf2dRFCUo6XFfsPDcGM7pfx9u17BLZGL5TLrdOw8rFQRicxJ8FNNgY7LJu+5sw1jXCul72bK009FhzjKIc3HLOHE2juOLpmLxsyPcjR/Cr/jGBfZzrkrR5P7QWBRSDorCI3HC1p4vHO/4Wb5GyfNv2czzUiIcOM048eeOA1AP44t955SeTS90HfHUZY3BLTl9LRo/bExpETcPYZmnIKqQOFJe46dvJtzZ1609wZjj8S28MSrf0WO41hE131vuh+A9bV1tmQcO3zkCO957/sA2NjYpLttbJS88IvjODz1ZYN8Wd6/nxmxvZI0tRyqVy6f35uxKec2HUMCOqXfE3OH1hTEyArLGQjkRXzGOOEsp+AYFKbcCt57yMwpf+VuYzedyzSx2JmDJOHHv2RIndvDwY1RHWNznZ72qU9ICWmQI/EExRXHUTHGjBOy3fhaN1vTlNH4N7rW2Pw9TabYZtP2T9m3Fxxd+TznOljevbRE4B/WaszMGATjV37ogwA89/wLXLxoSMH9wKfdNii90bDPBz7w/vzCAPyRP/It/JN/8k8BuHzpEvfeb76z++4+ae2J+bl5rn7hCwB8xyHThnPaRYVmLomShJ9++hwA1zfXx+1UxH62xU8c0mnrh917oPTvBP8REAhCplar0ZbslrECS7e0/p3YVLbRdxHf90tj3U7xXI9DUpQtDENas/Pm0mJDXbp40SLpTBt2opUznewRR9fY1vIB7OiMscXCxHmTtq6eWKvsUkDi7QdMNtVfPGX8BNc9n3XR6STL+OnHpJBUFI+vi24o07/VwgYsPVuWFDZcvj+Liv1lPkWKMWw3StK6FD8xvI+FngO4XmD5pJWCAwfNWnZtdaVU+G9nUbcx/RsrAuSWxrD8/GKuUGSWPB/lMhqa9UOm01116Q52dMHuA7Ie2+r7vjV80iwr4HBTK4lom5KiS/93XZc0MQOL53v2BTYbJqXFpHvlE37h3HBUtouDyz7R+PZpBJTy03Ud6yAKgsAekqcMeq5nFc7zPDY3N+3vQCb/eamQ1e/3mJPqiY7j2JTINE0ZSspTnvZy7fIV4qRICQjEwIxKVYvKfRzmi6DhkFmB2Pd6PWt4KaWscy43ZhvNpiWUbM3N0ZG0vEa9wXWp2Hb92uXbbrAFQagPHDjMiVOnePxLjwJm8Z0vxLe2Nm/M7TkGNy4PqGXHwS4D2BSHUUNSQfrDwcR1dyNnzv8sGUDjq6tpjbb/2LSxEhFmViLpdRyjN57vW6MgLFVoHBs/9I4fY+0dJ2Oe4uDVsDOFgRIJ/cSEVCaFpFgAgVmAjWThrRm/lzFEkj0w2MqOrlcwru5qu+4y+4wfVPrX/G6I07s/HJaukVKksJXGv7HFRPmSk86IKe0au//0g+v1BsekWtnZl87Y7QsLi7YiUF59rNfrlc7UzMzO2r/ydJy8MqhyXRzyVIOyUaYswXgGxcI7r6h77/1sSlGN0XBox6ZMZ0WVx5zg3HGtc8hzXRIxWHSW2WBDlo72cDG5y/LGcW2qri24oDNc2ZamaWGMuE6praYPZufmqEnKV6fd49gJQ/I8GAy5eP6cuVxpATjTnAdgu9MujCulS2mhhT7ZPkzScefCWOri+Ljoui5pNCzty596p0NXqcII1SXHknIc66DMHXumil6uL15pHVgEtaY72xj/5kopSoVxWTrfnqYmDOJic+liO54pv8heObpcx5XpodAm+xxZWnruwr6y31CWlc+y7c8LNziujy/GZ5IkluSfcuClRAPQEBtilCS2PeX3oRTW4ZQ7mVxXWd31/ICREB1nmS4clelOJ28QhHZsybKEHV/TLg79w0eP2XScvCp1t5zifRvEcRTv+cCHACxJdlBvsXrNEPB3tjf5/33f3wPg0cce49mnhQbjrHHAnTh1D6efN4umMKxxQCrFbm9tWDt2be32Ej6D0SelPJnTpzhopgXDsslF8xQn6pjdVHxvpRtPdVDWAjPXDeO4dMKtzMHl7z8b23RDsUE4t7ReKJHO33JZZzX+czcn9I7jp9tYY+PXbmnXY6eV7YabiM72zgkv4IU8UF+vhSzIeuD8hSIQ1ZSqy0EYmLkFUygpr37qOArHNXPPh77yw4AZuw7sN46Hfn/IQKoID0cRo76xJxYXFmhLwZmN9S0AFhbmWFs3juUkSdiQlMhGo0G3sy1tN8/Q6w9LY5djHQP9wcA6qqI41/+xyYJivM04sN8EKdfWTKBfAXVZi8zOzLIlNBx+ENAWZ/gY1cMNi4uMy7zQMXR7vcIhYe86IVPnLs2pE8amq9cb9i6ruROezB66ubFpycTjOC78MVl82x1drnKN6perbu/qODaS01UEYcggX/8qZcEbNlRScpTpsbVWyeEP1gbLq1WO4rj0OZbHsCnvZodDe9o4WXJY2fOKNZODppY7p/J1kM6K43ekM06MAzvsr0JHc8BKmldtVMoWyYvjeKzKbCjfsx8EtoBKQTlTcg5TssWUYge1zZjzsugz33NLdE6761KVulhJJZVUUkkllVRSSSWVVFJJJZVUUskbQu5ERNcqcP41bsYysHbTo14beSO37YTWet/tagxU+nQL8kZtW6VLv/vyRm7bG1GfXs/vC17f7avGpp3yRn1fey3V2LRT3sjva6+lGpt2yuv5nb2R23Zb9anSpZvK67ltsEdj0x3n6Ho9iFLqi7cbCn67pGrbnSev536p2nZnyeu5T6q23Vnyeu+T13P7Xs9te63k9dwnVdvuLHk998nruW3w+m/fayGv5z6p2nZnyeu5T17PbYO9a1+VulhJJZVUUkkllVRSSSWVVFJJJZVUUskbQipHVyWVVFJJJZVUUkkllVRSSSWVVFJJJW8IqRxdr0x+8rVuwA2katudJ6/nfqnadmfJ67lPqrbdWfJ675PXc/tez217reT13CdV2+4seT33yeu5bfD6b99rIa/nPqnadmfJ67lPXs9tgz1qX8XRVUkllVRSSSWVVFJJJZVUUkkllVRSyRtCKkRXJZVUUkkllVRSSSWVVFJJJZVUUkklbwipHF2VVFJJJZVUUkkllVRSSSWVVFJJJZW8IaRydFVSSSWVVFJJJZVUUkkllVRSSSWVVPKGkMrRVUkllVRSSSWVVFJJJZVUUkkllVRSyRtCKkdXJZVUUkkllVRSSSWVVFJJJZVUUkklbwipHF2VVFJJJZVUUkkllVRSSSWVVFJJJZW8IaRydFVSSSWVVFJJJZVUUkkllVRSSSWVVPKGoQoIZgABAABJREFUkMrRVUkllVRSSSWVVFJJJZVUUkkllVRSyRtCKkdXJZVUUkkllVRSSSWVVFJJJZVUUkklbwj5PefoUkrNK6W+q/T3YaXUf3qN29RQSv2KUuo5pdTTSqkfKu0LlVL/USn1olLq80qpk7L9a5VSjyqlnpR/v7p0zjtl+4tKqX+hlFK73PcblFLPy3HfU9r+UaXUWaXU4/Lf23Y5/5S06UVpYyDbjyulPqGUekwp9WWl1Dfenp56/UmlT2P3fbX69JflXK2UWp7Y9xE592ml1CdfXQ+9PqXSpbH7vlpd+vdy/lNKqX+jlPIn9r9bKZUopb7l1fXQ61cqfRq77276pJRSP6iUekEp9axS6q/ucv4pNX2u+0ql1JcqXXpN2vRG06UTSqmPK2Mz/ZZS6uht6qrXlVS6NHbfV6tLU20mpdR3q2KOfEoplSqlFm9DV73upNKnsfu+Wn2aajcpY39vl3Tq796mrnpdSaVLY/fdTZc+VdKDK0qpX9jl/FNq+jz3F+T+jyulPq2UevD29NQNRGv9e+o/4CTw1Gvdjok2NYCvkt8B8Cng98vf3wX8uPz+VuA/yu+3A4fl95uBy6XrfQF4H6CA/5pfa+KeLnAGuEvu+QTwoOz7KPAtt9DunwO+VX7/OPAX5fdPln4/CJx7rfu40qc7Qp/eLv15DlgubZ8HngGOy9/7X+s+rnTpda9L3yj3UMDP5uNR6fq/CfzqrVzrTv2v0qdb0qfvBP4fwJG/p44t7D7XnQQelmtUulTp0qvRpZ8H/qT8/mrg377WfVzp0utel6baTBPH/EHgN1/rPq706Y7Qp6l2E/AR4Jdf636tdOm116WJ4/4z8Cd2afdu89xs6Zg/BPzanvfha/0SXwOl+RgwAB4H/klZsYE/BfwC8Bsycfxl4G8CjwGfAxbluLuBXwMeFaV7021u4/8J/Dn5/evA++W3B6wBauJ4BWwAIXAIeK6079uAn5hyj/cDv176+3uB75XfH+UmRrvccw3wJq8H/ATwv5W2f+a1fu+VPr2+9WniWucYd3R9F/APXut3XenSnadLcs7fAH6w9PdfB/7SK7nWnfRfpU+3pE9fAO65SRt3netKx1S6VOnSq9Il4GngWOm49mv93itdev3q0sS1zrG7o+s/5M/yRvyv0qfbr09yjrWb+L3j6Kp06Sa6VNo2C2xSclxN3POGNlPp/v91r9/rHZm6KJDKFaXUU7d4/P+olHpGKfU0UAfOaK3fprX+7imHvxn4o8C7gR8E+lrrtwOfBf6EHPOTwF/RWr8T+FvAj02551eV4H3l/z5zk7bOYyIwH5dNR4CLAFrrBNgGliZO+2PAl7TWIzn+UmnfJdk2Kfa6uxz3g8pA6H9EKRVOOX8J2JI2TZ7//cB3KKUuYVATf2Xqw74x5Huo9GnsurscdzN9upHcBywok87xqFLqT9z0jDtTKl2auO4ux92yLgn0/n/GGB4opY4AfwT4Vzc67w0ilT5NXHfKcXcDf1wp9UWl1H9VSt075fwbzXW/V6TSpYnrTjnu1erSE5g+BDNGzSilJtv8RpBKlyauO+W4W9Glm4pSqgF8AwZ58UaVSp8mrjvluJelT5N2k8j7lVJPyPkP3ej8O1gqXZq47g2O+8PAx7XW7Snn39BmUkr9JaXUGeAfA1PTaG+neHt9gz2SjwL/EgPFvKHIB/29wFdorTeVUu8EfuYGp3xCa90BOkqpbeD/k+1PAg8rpVrAB4CfV0Vq647Fltb6E8DbbulpirZ6GLjov9Bav3SL5zwE/DDwdS/nXjeR7wWuYSCLPwn8b8APvIzzvw34qNb6nyql3g/8W6XUm7XW2W1s450ilT69en3ygHcCX4NxVH9WKfU5rfULt7GNd4JUuvTydenHgN/WWn9K/v7nGLRppqZTE/xekkqfzPMMtdbvUkr9UeDfAB+6jdf/vSKVLr16XfpbwL9USv0p4LeBy0B6G9t3p0ilS7dvXPqDwO9orTduY9vuNKn06eXr06Td9CXghNa6qwzn8i8Ar8j5eodLpUuFfBvwU6/kRK31jwI/qpT6duD/AP7k7WzYpNyRji6t9W8rIV3LRSl1N/CjwD6gj4H2PQf8OeBHtdabcuj6TS4/Kv3OSn9nmP5yMJ7Kt93oIkqprwJ+ZMquvtb6A7uc9pPAaa31Py9tuwwcAy6Jos/lz6AMWel/weTInikdXyYxPQpcVkodo/gofxwTPTw2eRyA1vqqbBsppX4aY4ChlPp14ADwRUy/ziulPPHa2vOBP4OJIqG1/qxSqgYsAyu7PPcbWSp9ugV90lr/2d2fnkvAuta6B/SUUr8NvBX4veboqnTpZeiSUur7MPPB/1K61ruAj4kRsgx8o1Iq0Vr/wi7P/UaW3/P6hBlb/l/5/V+An5b73epcV4mRSpdepS5pra8giC5ZMP0xrfXWLs/8RpZKl25Bl25iM+XyrZjF8e9lqfTpZejTNLupjNrRWv+qUurHlFLLWuu1XZ77jSqVLplrLwPvwSCP822vxGb6GL8L2RV3pKNrF/lJ4C9orU8rpd6L8Uh/NSbtCaXU72AI1v4pMPNKb6K1bitT9et/0Fr/vDIrpoe11k9MHPeyPLZKqX+AUdLJyeuXMN7OzwLfgiGV1AJh/BXge7TWv1O671WlVFsp9T7g8xg45f+ltb5Ybo98FPcqpU5hFPBbgW+XfYfkOgoDT3xKrv31E23+hLTpY9LGX5RdFzDom48qpR4AasDqrfbFHSYdKn26Lfp0A/lFTKTbwyB53sv0SeJOl0qXuG1j058Fvh74Gl1CkmqtT5WO+SiGd+IXbrUv7jCp9Ikb6xMmMv1VwFngw4jz/GXMdb9XpNIl9laXZPGwIePV92JQF29EqXSJ26NLN3meOTn3O271nDtUKn3ito1NU+0mpdRB4Lq08z0Yh87NQCN3olS6xE11CbnXL2uth6Vr3+o8d6/W+rQc9geA0+y16NcBAdwr+Y9xkrgWBYFc/t+zsu+XMV5NHziFyTv9ecwCaRrZ3L8s3eMcQvBY3ifX+TWM1/MZ4O++ymc5Cmjg2VL7/6zsq0l7X8QQCt4l2/8PoDfxzPtl37vk+c5gUjzVLvf9RsyAdwb430vbfxMDxXwK+HdAa5fz75I2vShtDGX7g8DvSP88Dnzda60ve6yL/6HSp9uiT38VE3lKgCvAT5X2fbf0zVPAX3+t33mlS697XUrk3Pz+O/qBNziBeKVPt6RP8xiD8EmMsfjWXc7fba57N2bM6mEM/6df63de6dIdq0vfgjH6X8CkhISv9TuvdOl1r0s3spn+FPCx1/pdV/p0R+nTVLsJQ7z+tPTP54APvNbvvNKl10aXZN9vAd9wk3bvNs/9n6JLjwOfAB7a63eq5MZ3nCiTuvjLWus3K6Vmgee11oemHPfjwOe11j8tf38c4+V85He1wZVUUkkllVRSSSWVVFJJJZVUUkklleyp3JFVFydFm/zhs0qp/wFAGXmr7P4FTGnUHBp+H3BLRG6VVFJJJZVUUkkllVRSSSWVVFJJJZXcOXJHOrqUUj+LgV/er5S6pJT6M8D/BPwZpdQTGFjcN8vhvw6sK6WewcDkvltr/UbMLa6kkkoqqaSSSiqppJJKKqmkkkoq+T0td2zqYiWVVFJJJZVUUkkllVRSSSWVVFJJJZWU5Y5EdFVSSSWVVFJJJZVUUkkllVRSSSWVVFLJpFSOrkoqqaSSSiqppJJKKqmkkkoqqaSSSt4Q4r3WDXi54jiu9jwPx1FEo8hu1+yegqlgbK/jOPbfJElKRxVXezWilEIpc70sy3Zpk5I73fq9FMoe77ouaZq+qnbebln2jDp1UvPMIz392ctie10pbiGNdk1rve8VN3CKOI6jXdfDUYoozvVpXBeUKvQFIEtT+x4c5eAHAQBJkth34jg3fv+vRnLdmtZdjuPscs/8YLXL77E73OD8W27lTc6dtn/8vgueC0C/pE/5dxOEAa5r9K3f79s+cfLvTmel/pnedq31tAd9xaKU0vmXnevHbj18+yV/lFu528s59mbXuVX9eaVSvv6t9Ob0ey/4oktJrkuT1yl00HXNsZl8y5ob9ZjdctvHJqNPRhzHtMlRCsc141AURdNPfHn3MD906bfZAUCWpXZ7Me7oqWO1urUx/EatKX45ynatKr327BbmlL0XxfzE2BRNtKs8r7ny7pTMCUmSlJ6teGbHddFak2UpWZbtwdj0is4DeJXv9fUqO7tYqfKz7uXoXYwoc76ZxwbJdF2q1ermyNI7KPRGo3NbUmd4MnY5jmO397qdPR2bcvFcj8TapNPayq5zciA2VJaZ7Wma2HHY83xr08RxMeYpVYwRZTv6tdbVsp0+tv1Vj4/FugGFtUu1zkrrDc2cjE2D0tiUH+v7fmHHZpld/+Tnp2lCrpu+7+PKXBNHMZnWaJ3tid2U99m4bbtTh8rdZ6euiWOnz9Y3a/JudszLeV+32i1li2K3e0+75uR5t3L+KxFl/z87Mc/Fu86/RV/5nm+OTWK713Vd+w2PfwL6to5NuQ1eFs/z7Hc3vma++Thf/laKe5httVpon2U4HBT7S9+/5xUuljRJi9uVxuw3hpS/uenW8pz0xWAXm2n8ampyg72u73koeS8oiMUPlOlsV1264xxdnudxYP8havUa58/mxRMVaSZKpDM7weeDo+soq5Bap9TrLQDq9Rpra+tybNFxZMUHOv7R5L+z0u8cFKftR+F5Lr5vPvZ+vz9hOIFC48pLT9OsUAet5drleym7zXU9MnnO2Zl5tre38lsz8WNK23c75lakrLyTg0LR1394YQmAT7W7AJweDZg+mBTtyidSz/OJI6uwU1uRoc+/gsbfUFzXY3l5H4Hvc+niJaAY3ExbNJ4fAtBqNQHotLfswBeGIceOHQdgdX2D9taGbDfG6aDfw75T5RY3HntGVV4Zyf6J8TrXIeUUupMUg3buWAvrdUbDkWl7lu7UDWPJl35nU7bnz19qgM6Ka5CVrlv+JvJNXukak886eV6pbaVtDvC1ok+PbrcBOBuPrHPr6NETLC7K/kcfJRRDOZBFw2g0JJH+yaYYl5lOdmx79aLwXA+lHNLE6LLrumQysOtdjbHdvskbOaScwtJTqjg2KwzVsXcwdtkxC/EGokvHltqRv0/HK73b0vetHJg69uxyjxvufpmOrinPrICvW14E4IubZmw6OxrZ/U5pcasch5nZWQC6nQ4AaZZZZ4WdZ2zTzXmZTm772ATgotBAqzkDQOD7tFpm/rpw4QI754tJmdZf+TYHT4xSnWn8wLfXcmSROej18GQuy+e0JImJ41jOy+ytPT8kiYp+NZcqjyuTi96J7165KOnnIPDI5Pt1vf8/e38eZslx3Qeiv4hcbt6t9q7qfcVCLATAnaAoiaQlbhJFrdZqUaJkeWyPN332aGa8jT/PG4/fN95G9rOen60RJVEyRZGSKJoSRZEyRVKESIIAARAgtkav1V3Vtd0914j3R5yIjMybt6oaqH5+4NzzR/etXCIjI0+cOHHO75zjgNG1ozC0XiMr3r8vKitiFffa86OKnxjDW5eU7Hl0ewAAuBjnii63mnAcF60Z9e2CIAAAbGxsQJJMcD3fKLutmRkkcYJub+cm3mf/5HIXQuSbYsaY0SdUr4uOM8Yd+J6Sq1EcW+ONfC2bJNL2GOLiTVYj9nrFxteFSpnFdP/L5ydslNm4fNRPcBzHbP455+bblDZn+X+s6uUm9Tufd/o+DolvX1oCADy2qda5S9YcYgw4e+4OAFCOOGoioLmaZrm+myQx5maV7Go2mxB0/Auf+5NbIps4cwp6yvzcAra3twEUjeEe6SsSzOhNiu9yJjl69DgAYDRU86izs43W7BwA4NChQ4hG6vjVK5fN+3qeaz6MsDawEcmmwvcp6FMTDCH0rRnn+ffOf+T3jX1zWjv0N+UOhEjN/drA7ToO4piOT1qbKynvpzb+OdyBX1NzM45iOCSbo+EIb16YBwA8saNk0+U4hOcrHfbo0WOokRyKogjra2sAgBq1tbO9bd5zafkIZttKdl1bvYI4jhFGlvw9IGJgcF0fQqRGv8syYb6HhITrkiGUvocUwhgRMiEgMj3eQuklQLVVzKbC/LV0WqPfOKRP2TdA6beVL7LPdUjmehVnzJIxcky+MSc30kiZO90L/bkZ42lBvtoHrf0d9c3lHG9ZVLz0lW0lm67Fo+K1RJxzSFpLlpaWAQDra2v52taaRTgaAoDRywEgE8kByyYGh76//hwLC0tmr7Szs20ZdXP9IpcfjDQu1UCNnAzGkCXVng8Abr/9dsWnAJ76+hNmTrsOR0rH5+cWTVs7JBs556YPSRxXGL9vUuetGgXGLLbYy5hWoecUdB9ZPZf0+bKcxficYozhW+eVDv5YR+ngV+KyLCE5ajmb9TOUnUC1e2h5GT7JMMdxcfniCwCA4WgwkZdedoauNE2xsXGj5M22FgLOkZHDYWFRMVm3s2M8XWmaGoXTdT00Gg0AwPe46tiHetumLcVittJSsamzrtaLeByn+UbAUnC42RD4ZiJIa4FV7ZcXwPw5WZYb4LqdLXhkgMlIyItsrwlzs7Sfe/Qiz/FTx5XC5lxQx5Shq8pQmN+nFzbuuBDypSMUbpakFAjDCP1u1/RJCGEmLgMQ+KqPO1sbAIDZuXkMhkpox0mK559/ntrKlbsfriuj2K8MB5aBS8InhSOOI1QqXLZipR1nDFZ/pDGimHaFgAYAjAYD++0qjFbWAidLz6VrDYKNKSUiv1+OXWsak/bvzDKgOeMKwJjcruAzzvEjR+cAAA3ydL+wHZoF4lvf/Ca88p57AACPPvqIMf5p5ac/SM1YR1Fp832LiTEJTnwtpYDc0xixu0H6x2aUHPuN7qa5lnEHUm88JZDLpvIus9y+vWhVGZ9LSk/hW5UXuAz5BtNSMPdFE/pmnxrrI0oLapmKRhVNnHH81Cklm/yYeMlS2IXFu0ICHTKs2v3RSAVW2PDAGMBEevCGU844arUAYRQjJSRDlqUFYw+nb2GcA4yXNmfj9BMzaix+vbtlFMCZ2VlENCau55kNJ3e4MmYhdwBIIYwiklrfQQphNlR6TfJ93zgwMpFBil2+OzKzhiVRCn1plqUGqZkTKypncuzHBNp9TQvqdUTkIZQFBTG/z+EcP3hSjWGdRPHFaGh4U0gJTt1ozrbMvRoI0Wg0kNKY1IIG2mQI297aRqM9g/5A89/BEecO6o0mwjA064e0x7CgoNIhIXLZyRj0XGdMOfMA4MdaswCAD2xvWXOPw9eGmDStRhgXlHB7ndPH7bls8UzlhlUidyZVvI8lxjhnhq9sI73W89I070/RGGNT3m7RcLvLhsJ2RhTGmuOHzhwGANRJvbu0sY6cZwRurF0DALRn58zarOVRvdEwOofjMKyv3wAAHDok4daCyf05CCoZ+ra3t8y3ZpazMCPZuLS8gk6nAwCIY4FWSxnlZufnjOH3u8h59ZudDgIy3px/9hnYsnh5RW2kwzDEzhYVUGfa+OXDI+Os1sHN+YKejYL8cDjAOSFRkrRiL1+tl3PO4Pu0GR4p+amcIdaehPoWJxUbyl0tweOyTM87IYB+f2C6mBjjLMM7jirjhEtr3eV4hCRWY7G6uoqTJ08AALY2N/JNv54ULMdSDPt9hKTnCglEUXxLECiMcwT1AMPBwBgRhsOhMWgCyrkC87YApECS2M5VSx+l+fDj5LD6YLeb31fQfywdu+D41EZ8iUrntMyKx01b9t+2c7v4HTl3IKR2wtqnGcCL/CHtvchE9dHWwa3+VJKs+FmSq3RcCIn3HFPrXBap/l5LYmv88vEXQoLR38Oh4kvH4SRPlVHacdQ6NxoOb6FOLiFFhnqjaZxmURQZfUWKDNLsc2hcpYRH80oZv3I9V8uzH1xUQKGPbt5ATH1//tlnjbHZ92tmDqZZZnQlvS+J48QY1jzPQ2h0uPH9mF8LivaNgm5TodtXbiOLa4y+tBJ0UGV0LzAbz9dgaa3Xdr+qeK+ktr/riJLtnObtlbhsH8hJ67PHjikHSBRF6Ft77ttuVzLsxo0NzJBDZDgajDdE9LIzdAESQgi02+0C8kYbsoajofH+RmSFFULAp0W/3mhhSAN25/IyXnPqNADgPSPFWB/qbqHIGPRzYjii/YX1cW4JaWnCTgz8Ok3z8EmGXPGyKN/PVW1GtddItac39EkcGw9tcR84SVnbfVPALcXdNoKYzQrjAFfjuuQxPD6kzaCrhILnDpGkwwmt0+JP3suAO2YRz7Lq0JhbQYxx1Pwa+t1OIUxDc5aQEv1+z+ox0Ov1coWOMQS0OK84Lg4TQuJtpMT9yuZ64WOY+2AbUW3KFY6iQcI+qxdiOs6dggDTAl5mSc45hYXMfsZ4D/QmJQqH1rMtRd1G7BjPvo34sieOxJiSWGDHEvrHUUrjoivxQkhGVFcttq4fI02UN+D3fu9jqBG/nDh5CkuH1DU1X/FjI/Dw1FPfAKAQFGF48J7IKpL0j0bBxGGIguejQsnOb84XkSNuHUfIMv6WhkLw/EZ3y/JsCkhpuBSF78Ts9lDcZOlr8g6VflcYlYDKjbA6NgkKvhftsoEs9AEoGHxl+VpLSbONPIwBjnJiLLgST/fJWOOrTaXjxcgSWhilgP4uzIrK0CGCkjGYUPNS+JCoEt4HRNzhaLVn4HgRhv3c+KHnclCvI6TFvRhiNj62x7wAK7RGvpv46WMQ5h0938eIPK5+rW7QWzvb26jX1ZzSGytAGoOy63nGCCeyFJlxtqh2wyguyTFrA+jYyqVyehScNtrg7ljf1TagV3rsmRXSo+8p83kV36v7w1GIekPJoOXlw7h46Wp+KVdzb6HmYHWglVa11jneEJm11hnDSZZhiRAWS4fUBv3G+rrpW7ezgy5t/gGJ7Y0bxjBw4MTIV20hHvQaLxkgRTmNgyxtotTvFe7iMMmh16yo+fSB7a3CffsOq520e7MRUPb8n7RR261dC1UjKudHeQOxlxyzjbsVPFj5To51mkNINX7znsTTm4pvXKb4pBZEiMIe3cexuaEcbFkmjCHAp/8BZpxR7ZkZ07Ver4/Wi3Ju3gSVNmgCMO8uhTB66Tw5nLc3N7FI6LUwjIzR5La5Bfhb2wCA1++o9f2Ti4vY2lTvzRkzm8h2e8bIi5FlDGk3lUxzPc9sRNM03V2PtM5lApDa2FFQuavHUMuYmZkZzJNx7oXz5612c37KQ5bKxhG6ltm8txsxRBEZtBzHOLqllMigfs86Atf66ppabQUA4Ncl4lDJmDSOcOXyZQDAXXffg63tHQDIdVwpDVpiMOjjrruVM/Hpb3wDBR3wAEmIDMPBAFIKDKgftSAwRpJMSORoUr2+5/fbe6GjjocjNDe+bUm9/wctJ7ZSecesmMWht+exjVi3ES5jVNqnFa4tfl9pHysZi8ebLetttmwq8c3Ylm7c4FD9LG61wQGmvv+hGsdlzUtc8bjjJchSrTdx04VGvY5Dh9RaGJOBmXEHA0LFd7a3MTun5JvneUa/OGj0suO4mJmZAwPQnp0FAFy+cCE3SNlGJC23hECTEPOj0cjIjFeeOoNZ2ku9itbMT4YjxIkakzCKjEM7SRPLx5qDXrbJEJ+mqTGmqXNV65iiNInhkH0gk+XryrwnMTkNUm6PsN9X97LgVBrrjG0Qtg2h9r5UVJy39jWcAy7p4I7E1QE5P0ln8mopkqiXX2/mB8zeZnVVOXlWDq9gjgxaHNJygmZottrYi6bJ6Kc0pSlNaUpTmtKUpjSlKU1pSlOa0pSm9E1BLztEF2MctVoNaZYhojAt3/eRkYd5od7EAsWCrnV3ACjvkvZcpmlqwhUvbG7h77/uQQDAvWsK8u1fvZDbzDk33iMpsspcP0Wqthua/C+Wt8vEmlueUtuyXp20U5qcKmmWwXXV8zRyTcVwV3grCl6F/XqP8nh4xjxjsBUiQxBoBFkKh6nxeff8PNxAWayfi5UVO0tteOokBBl50qPIhHZyxk2cp/bw31LiDIxzgwQUIs97sRLUMSKPXDdTngDf8wz01nEcM04bQuCvteYAAPc9+EYAQG3tivEgSJEaCDazreA2nLQy1tlOiph7AHVMPLNQDAzC5IdQiA9CMhlvYgWyyzxazxGdUN+x8gMABQ8RZ4V7wT0UcrjYaIrypYznoGcL5cTA4RJE9u1zLdSIny6kO+rSLEeHzM/PY+OG8vgGLjfvOUtw9VQIhDTuYRjuPy3VSyKFBkgzAehQN86M13+FuwjpO3ZM+KnVKeZCj/GWyPAP73sNAOCVlPPOcRyDrhmFUZ4HpBDmwytesgrBoP+vkhf6dMkDVPm+t4DKosIWWSUvFGeOxUvC9JmBwZVqjr5jYR5BXY37pUTJJplZsqkcVmTCAfNLdA48GzE1CT110BQENbjOnHomGHqUm/FEq41NQrtsRxpNlCNS7JyO24zhX3/nOwAAr2mosOqlh//crB07OztGxkTh0KC0Go2GlWB6nFQYI+X5ktKSSXZuowo5h3JiWL1+ERoLwqQYSOIc/WHInjewf7Pxa8eoAt1o/uMYDZUsuXTpsmnX4S4cLZvmW/Ab6p0vxhv0ammhLd0dFRKv35fylbTb6HaVJ7PZmjEydvXyJTiePwHp+9KIQSFj/ELYRB4icLLVxoAQFJs6BIBZnn7A/N6SEj9/6iwA4NUnVX5KPP3kzXdoVxpHQqA83VilYKBD9rojx1JiVj9vXx0rNsSsvpl+ar3JsQCmVnEUKeE7ivffMj8DipjDpVjl90ziPLep43omZUU4Gpo5pPMIMgZs3lgHoNCBLfJuR1GEJuXyu+Wkc+FaiMwV10Ob9PCQkF2u55nQRRt99sj58/j7XF1z25nTAID06gtGbxIWWrzb2cGI8nXFSWJCt3uEBGo1W0h12LTrIKKQvbFQHADl9c+Ef0sgz8MkS/+DojvUbyEEVq9eLV5jo40YM6GUcZKNI8yYtdhVrG92u4w5RjaILDP5SBv1Fno9NSbfMtdGQLJplfIPZ9EQjlm/YBBvT379cSyvHAEADPpKxzh97hxeOK9ScczNL+LihQsAgLe89W34k0//MeQtQJsyxlXoV5LnK1I5AdX5Q8xBSJOkL3XESnHO6z3dRhjjbxMK7TStSzj/rLlO7qrTlNcpO3LB/k5sTDQV5CSz25Jj37SACuflAgVlOTSpv3vpHntda4dU5joDA+Aw9Y2/bXYBrbaal2vrKpebSEOriznibTgc4soVleNY89ryymEMemr9yzKBXrdjnl4IKz5AkkIgCkMcWlmx0jLMUa5k4EjNR0Ro5HVa5+r1ALMkq4bDq+B0ns/P49Nf/iIA4Nl/9i8BAB/4wC/jOuW1S5LEhCYWlFbGTM7gvG5DamSjZ+WbUtdbfAXFMjptAmN5nshCdIO5t8zT1imjS+nBKfNZFZLLargQlaMP83x+mD2nA1mRy5dJCZdQsm+eaQMtNR/XN9U6J5Jy+KoVoaJz2FHEwdbWFu68/TYAwPPnX8AS5Ujd2NzEfLNZ+f42vewMXVIKxHEEz69hlhJvRmFoPvbM/ALeRkmslyl/xL/fXIMe/P5gYIwNqUjxM3/0SQDAUl1N6Le15vCZ/jYAlTy2S5sKx3FUYLymQi4IUPt2zhBbYJUFnCXcWPke/ff45oKBmcTWkBJpQpsKS6HLmdfKnzOR9mf0klLAd9T4sFrNMNnOTg+3E9O/78QCfjVShonXHVfnvzLoo5vaG7BdnicFdMCg57tWwkLbIHTwVSazLEO300GWpsbQ47oOHDIozi8dwvvvvQ8AMHNNKZT/5JknjPLiuo65r95s4n9eU7DwX/rTPwEAfO+JU/jY1cv0Xj66OzsAgKBRN8I+TSsWOisnCiBLIVL5oqRJLy5pBgNp9/waQoqt10ZRXdULAGSWwQ6l0wYZE31UGG8OO9dY5SJrny+cLi7eQkrUCPIb2Ztdx8U9pKT92KkFfDgm2DDl6nqs38c2GRsvvHABi7Q4NRp1XKJCAjrh5fzCAubn1H2j4RBDMopzzqpzxhwQmeXBJBhlJl9Jyjm+f1HB6Q/T9f9s/aq1kOT9ikSMv/bVhwAAC47ite/xAvyODh9jgC58Je33KUytSQvZJGP4bvdJADpZuVZSOCbD+fcytu1G1gay3FSpWQGBGikbUZorbOAe7qIQtJ84s4TfSVTfX3tMnX6k20e30lBYUmjpoXayY64h6FkJgn7AlGUC3V4XUZSa5PCLS4t45ekH1PleDz99//0AgNrzFwEA//vF5/LqRgCCRq4E/JUvKJn0wD33AgDede4sfuPLXwagnCU6CXfQyL+r4zomH6EdxpaSksIYR53ChkaDPnL5RXxRgOlbyb85s4wP6ofI8tw4nHMzlwGJOm1k4kjxXlYKGc0TQXPLgLaLEdeQXk+1UijhU5hCLCV0YtrW7CzOkNL246cX8aFIXfP645Rg9ZkRdmJrXkBX7BQmb6KuLJcmCRh9TwZmEt0GQYBRGN4SQ5eQAqPRUD1bh7ZbhRX6aYZ3nVbGq8Prynj3Lzavl1pR4xiLDP/DNx4HAMw8q8LD33loGX+4vm5da8+nCtqXXalqHKoM8gy5KqtDJkthzBVGa61LqeTj4waNyZ2rWvvsP/K1VssmybkxMEju4XRNyaMfOLOE343U77tW1LMfG4boUUGkLE3MGEowZQAAjLEyjiIsUsiQ63om/Dio1XBjrfz9DpIYGcbzlB52xT5Zb+E7Dqv8KnUKX/olmYc8x1Fkwpe47+Bf1shoc2MVAPC6oI5P0Dfh3DHDK4Qwzt4kTQ0P669mZBWRyW4iJXTZJ5PwfEwPsFOW6BvzcEYdNhoENZP+pGvyOdpDkzODkMiNbXZHK1lLWOctWUl6lZQSvq64m2VGB93pDnBnUzkFfuD0Aj4Wqvd7xYp6vyeHIyTGQZ7mOQglcIMMGDoEK4rysKlet2N0i43NDRw+cgTXr1uh3AdEUkoybOW5H4WQJgcpqzfwfRQivUh9/zdrV40eK6TEcJQXA/mHj38NALBMxuDvOX0av39RrY+yEHolrXG2dRnDbflvWdr7VRksq0LlGcYiyMrvXkmFIlG6rdIes/CQ8k9ZNEiZw7lO4+o9g2TQfC7BcZb2wj902zI+2lWN3LsyBwD4+mCITmqnAcnb0yH3PuldtaBm5hhjuXGLAQjqaj0fjvrV7/8iSUIiTVPESQId0teanTW6zfIdd+Ed971S9fOrjwIA/h9Pfx3bWzsAgHq9jiHJ0Ee/9ihe9zoFWFii8OT7l1dw6eIFAEC73UZGOqSU0jgWBv0+klQDZHR+U8foJVGUoLDOlFhAFSXQf4ni9yvs7+2/xxtjpbW3yPvV9xSownilmNkyzAOQjKGm86FlWb5v9Bo4R/u595xZwh+k6vc9R9SNjw9H6MRlMAzAwCFp/RO5+DVrX61Ww3kKE19ZWcY2hV/vRtPQxSlNaUpTmtKUpjSlKU1pSlOa0pSmNKUpfVMQ+/9V0u+DItd1Zbs1g3A4wOKysvJvrK0aCOFse84kh7x0+RIA4PiJ4zi8opAU19Y3cOWisgaKTBijpU6gp5I9qzHxfN+EPGZCYDjQ1uccpVVEPNieAMdcWqNE+HGsKzFmxWgckzw3KyHE8qepH3lZUiGEQYroyl+QohBmUk6Cv38a94S3PYUM+N9esYynexQSJFzAVf2cywSW6Z27ZMXd9j385rryeP3atVWku1atzMNWHM6NxzuxktoKiIellK+9yZfZlRhjUpXJzpMjA7nXsO7X4VFydjfQVYwkBuSlT9PElGBnnBsI9faWgmfGcWyFK+YeHMZ4niA3y/Kw1r17jCpkXB6aJ01yvjhJcu8nVVQTUhqPXRJHeRuWB5ET5Nt1HcSRLqtreZM0vwGoDLvcB3pnhvr1928/jOf7any+RTATMdDIBJbJk9mvq4Oh7+ETG8rb8n+triKjxzSbTZwjWKv2dLfbM4i0t0AIrBPaIApDdDodCJlCyjIO+KURY1w6jgsOGAQegzRhnh7ysuXax6u8lpYnsKp8dFFajD+4IMOr5rrNM5iMsihcP6kP1m+ZFist2kkqq0Jlb4qqUJ9V/WFoEVLmH991DC+QbHqT5CYkaEZIHCLe7RIvxTUfH76u5PmvXrlqvP2F59I7qFLNkzxoioSID1w2OdyRQVBHlgnjIWy121iYnwcAZFFkvPO6d9tbGxa75NU/mYVIiEkWSJmHRCdJMXm4rp7oeb6B/UsaD84YBIVTMcbQaCvPuQ5TUBfbsh7W790kXAkib7Vlh+wDAHM8SBP+W/omY6GLuz1X30uJ7zlHncbkH9xzApco6fwbJUPNV9fWUoEZEh2DQI1v6nj42JYapw9cXS0ihKg/ukDFiZOncPiw0l26vZ5JNj4cDNDt9SBEAinFAcsmJl2uStWbkbDkhstd83dakEcVjVUVAZggmorJtm+CKmVauR1LLlZUHrOTv0uLH80IFBAPe8jYYucm9KeMXGSoEwLnb9x5FFdHipceELnYrGcCc/SphzU1v1yvhj/cUuvub1+/Zn2PnK81Mmrx0CH0CTF17PhxM2ytZgM9Qv8+88yTt0hvcgsFoRwnTwrebLRMX0bhgPrsKdQmVEV0rf9EYQyHULIbhDDyPM8qaJCHCnLOzYfNsqwQhKj6VQTW2HqR1rHabaUfdXv7QZNofY3lldQcx+jy1QjAm9xT5VmsS6xVlE2Ag4arjv2tu4/jal+NzysFMEe8kyUpmhQhEBFK7pjfwIdJNn2400FvQAmgrSIr8wtzAIAwSkz13SxLjU5erwc4euw4Ll54HmE4OlDZ5DiubDRaFGqv+COOEsMfyITRWXV4aSLyMHnHdQ1ix6YZ+s6+72GTwqVkOYbZxKBaephWHNQd4x22C2VUkp3cvXxf6bnjjZeuhXVtlW5Yfoh1Xu5yrQTqtN/56VecwNpQ8dKbHQeZlk1JhtM0FoJ4qeX4+A9rOwCAD62vQxhEdD4meXXmfD8rmVUwizGDqk2z5EBlE2dceq4PISWOn1CV+YajECHpMMsrx5HSvmBAoYvbmzfMXloKYaoycmtd0WjscBQaHuKOY0LIu92u2Yfb6Xa0zGk06uiTvLERxJ7nqiqvgCUHLEFgFaNjLOcbaYdZV4Y8jO8T1f0w77n3umytk2ORZ/oZALiPJsnv//7uY7jUVeN7PwO4p66ZlcC5TLWxQdFFLnPw0R21zv3m9WuWjl1+D/V8nfDmnvsfwNNPPQUAmJtfwJu+5U0AgI9+5Lcm8tIU0TWlKU1pSlOa0pSmNKUpTWlKU5rSlKY0pW8Ketnl6BKZwHAwgF8LEBF6w3F9Y5G9sbWJdSpLrK2pzz77HK5cUbHltaBuvBRJEhpLpY53t63to+EADatscY68sj1Fumd24lYb8VL0oFPHTO4AVdbY8gTauWmgyraOyPLMHYfyKlHTOv7X5CzIY8odxzEe5CgMEQQqblqjXFQ+JttqWmUVhjnfSxSS5uPXe/jv52YBAPOjCCxVz0s6IbIFQhLpXAhpgrf5isV+y3GRZrsnINT2ZdfzSh6aW4k6ZCrpOvLk+1JIHDmmEICjYYgR5dZoEbLLr9Xg6dwblmWcFZBeqv+Okyd0t/NtABIt4i0JhihU46s9hQwMkmkPiVtE5Zkm8rb0MzhjCCl/BHc9g+LQeWI8L+dNx/VNolvbk63z0qRJnCPNpIRJkCgrPFIFr/gkys93aXz+eL2P980qvmmOQgiy+rOdEHJRHU/0nEhTfIuv+v8bjoMheU6yLMPadeUJDkc5Ai0ktEtqxYG32m0cOXoU588/t0dfXxwxKI8NQ+5x0dM7hjAyBCZpt8XdrDQPq/LGsLEfKJbBriJrrhdKnFsovV3n/6RjrOhKn1BI4cCIAWPJOCHRJ8//p6938b554qVhhIw8bO7mCPFh5XkL9esmKb6FvE2/5XoYanSQtF+J5IEUJj8jY7z0vW4dSUhkWWbKrANAv9dFSihLr1Y3iem1F7VWqxl0FuPM5DFhnGFEckEjV/1azXjN08xOlMzM2hIOB9a6R7m0hLDyP0iD5GLUZ5i/xt/I9jI6hHbRSdqLlwqTSwrg5j0q86DYyX0ZTGKegJDUIyt/S5HyPuZ9yTCgZ31mvY8fnVUyejFKEGWqP82NIZJltQbG5r4E3+5Y/GQSreZzWudRjOMI165fp74NMU8IvXA0xNzcLDqd7Qn9fWkkyl5cK9l8KjOT2Fuj2It5Ictwk5I82M9U2AcIobodZv1fhQq3YDxjqCpCgWjxV86vD1Bycf3OVl6eiTTpfPm4gxGtUZ+/3sV7ST9qJQkS4lF/a2TWuZR4iYsUb/LV7485LlItm6wB0sjGjRvrRod9/tlncM999wMALl68hGQs2e9BkwRjOZ9kWWr06DAamSgL1+hKGTzSRzZu3MAM5dBM0sT0Vcug2ELy28uMXSjI4Y6lF9Ecc1ykFJ3BWZ5g3vd8M2b1utKF+/2+VWCq+O3yaZIf1zIxzkqoIGs87P/GiKGEVEQReDFGRSQf4xwhPfrzawO8t63e47TMMKJGgq0Iw3l1XPPTWhbh7aT3fbLRwJD2E5m11oUh6bjtNuYXlDxau7aKGu0bRqMROGe3ZMlzHAdzc3MYjUJEofp2nu+j1Vayd2d7B4wQIy2KmOh2OgZkwjiDT8eVLqx+6TWj0xkVEJ2GpIU8Zxx5vkabp5h1XjdR8c3t3zbiS1bIyoKOhxILjQkn64JJjFXFw7asrCDGMaJ5+/BaB+8kvclLEsQkmw5th4gPUSEJyinYERJvo2/xu66HUWojwVV7Zq22ZbRM81xzKK8tB0iMwXFduIwhJqTUcDAwe5r19asm32lm9pi5LpKI1KyDQkiTt1gXu5KQea7NNDG6T833zRwC8lyEhYg5ox4Lg6T0PM/oP47VL1Gh+0sp8y+8r+Erfn81B5zqS8fIRgSW+WqcnweUL/xPVzv4rjkV/TWTJPAosf/Mag/XZpUscSiq4rDr4Q2e4p/fcTyMjJ4r8vlmRVJoPfTC+fPw6Bt0Ojt4itBdu9HLztClKRwNEJNCLzJhFq9aLbCK2akPEkWhgUyn8QiZNTn1QqnhuvPzC4bJ4nBkEsgliUDgU0LcVCCjDRdnEbVTht1pAVmdeF6vlarqhnVfAZIIjIb9PKhGpJZRxdpA00aecweMJqzrOnBp4sScmyqB1RWpJmmgloJJff/URhd/saar6HC06RkjIZB1aUOhx0lkOLygvkt4qZxIviy8mRn3KIowS0pQv9crCKSDJs4Yar6HhUMrGFDlHs/zsEkVaxyHIwx1AtiR6blfUxNtbm4Og4HaQA4GQ2PgalBiwn6vVxR2RhdiCEdqUW/OzIO5SjikO9cAqCSmWhgKkVkJSfPKckUiRc/1zLdyHYadrQ06n/Pj3JxSZLY2N80CIK3F2SSQhG2cdSwhm2H/AnO8j7Z295ntAb6b+Em4HC1aREMhgS4lvfTISCsTzM+pzWt0IeenMBwhuaENdqrvnae38cr7HwAAnH/uOfNdhBS4fu2atXk4WFLDKIzhIRMiV1RZPv+krSzlE9xqqQrePknB4uAabs+cvGaGDK37bKXZ3uxWGNMKz5us2Uqw3KBnVQMFGEDJJIthADdDE3bCY0ZemOf+0Y0OvpsqwkqPo62r0mYZZm5Q+N1hNc/CLMbRReKrC2mhrfEn50qwtJ43eWN+cKTmn8zntFWlKQqHxmGijXJxZCczl8ZYZBuTTDGWCRW0OHcgKJyKOQGESyHbEYUmlkLB8mTZ0oTL5y+QG79kITE9xhW8zAofATPKoqq6SH0zSdwFMlueWDbWBUpdsL29Wfl+VVR0JCie/cyNLr6P+KnrcgQ02LEQCDZVGAI/1DT3t2YpNPRyeSNMfEiG936vh9Pnls1921vKsBXUmxgMeqieiwdAJrGxNecLibO13B9nanWZ/s7575wmbd44uBXyLvRvLZvGdOY93l1vTAtyLJ8f9ibVdiya5gvfWTtx8rYYy428k503VQY/+zorqTn9fmirj3cESmfwfQc10tPSTCCg8I3BotKbRllqqp2l0p4ztpVOr9USnOZ+s9nCBukt9UYDO1e3Kvp+kMQKcsUOiw2CunGqasMTY8xsOFzPM/M+CkemWEyxea3rMuutuQnHBnNNiotGjfT40SgfLc7hUi6EOEnM87QzsrzXNsZ7KXH4iKpGWCdDz6VLF/MCSYU5tA+qYqFCxdBJx7XOprsljZHvoZ0Q30FO5Ksug6BNPY9jLG6RLrikZNMwyzDTVrw12O5Ysi7X63W7/V7POHHn5+extKzk1M7ODi6cP28SQh8kSSkQhSPEUWTCvrjjmrQl7Xbb6Obakek6DkZD9Ztzx8hW180rnZpiA/b8VquUeX+miw5wz6qQZ8smS2+qMnDJ0t/UblHH2iWBPJvER7bRrHiLOV7Zrv0Inl871giDzhPypa0u3tNUfD50GQIakx0A7R21t3HJiROmGeYOqb1NfO2a9R7Mkr15R/N0NKxUZfnWKE6MKYOw7/vYIsDLsePHcYXSGCVRbMbFp1Q0QbNlnDuu4xpHoeN5RteywwuTVCegB+oByexRCO5Qe0HdAG+ypE/35yAPxrgJ3RwOcydc7swz/+g7zK/xoimT1ij7uF2syjJCFkIljdGk4rG24RYorm8o8Nefbw3x7YHSnzyPo5FQ2gYhsSIUvz1PBi0Zh7h/WTmgkyur1vzKq8/rZ/meZ76B7/voUBGQIAjQptQZu9E0dHFKU5rSlKY0pSlNaUpTmtKUpjSlKU1pSt8U9LJDdDHOUAsCZEkClxLmMs6QkbdFQdqUNbDX6QBQ0GmDzIojBGTJFUJA6jKg1P7O9raBxfm1wFhZOXfheup5f3N2Hv9mTVmLo1RbtIclR5/tbS5ZXK3z6j/bmlr24uRJMBljpizroN81ScNnKCHezva2gYtHcWx5oCTssJRxKsNvS94m5uboIubgC3T8hz0PPnlBZlpN+ITMaeooII/Bu6K+wR8eOYK3r65Sq7YntPxsZbXWHpqgXseg3x+/9IBISok0iXHtyiXUm8oDxhgzSQY7OzsGQt2lMCHXdQ0s9sb6OhoNdV8tqCEbFMvKNlstjKiIgWJBPaZATJ6Bv9Vu4ANDZfHvcfV9a05mec+EQvMBu3hx1HdI4hgB9UehFIvXp6nA9rZCEKgwALuMNn13YaFXKged59cWPJC78ZjdVWa8/JkUeJi68C7Pg0/31lp1k/y/TclVmeOidlVZ8j98eBnfT+GKkLC8RXkfvv74Y+qIlJiZmQWgvLkqoe3uXXwxxKBK1zPOIXR/RGpQKDYCQEN6gTzsLAxHuUfFliGTvL8Wae/032g28EuUWDSRhMQRdghL/p0keO5QHAtpsp5fuNe6rAD+zNEGEgyM3+KlxTzbNf5+ISUept/f69dMUvFwpo6QEL+NTCcdZ/AuK1763aMreM/V63nbdnJgdQBFRJyBUe2NQHkJJKVEliaQjIPpEETGUaM1QIUt0rtbXnotq6X1LgUAIXXZdZ18jUCOaFAhbopn/1qrif8UEVqspuSKDDsorBE2n5Z4VrWFwrEyZTqpsJOjwYSUSJMyChhmXjluOWEwrZEQ2Npcp+dp5AdQ7dW2jpCHVWY5RD5jDXyVkDc/UKsh0Mmz23WkhPSYoXGKXAFQcYPfWlnE91+/QU9i1qwhtOnODq5dVakUZmdnzboihEQ4Cm9JWAcDg8O5QuDQd+CMTwyR0HfZx01y98I7le8pNcek8Sf/dLuFX+sTygckm2RYQiroH5OKati/rX6O6TfSek8LdShF3lf6z/PcQriTnMCnk/tRJs23tt7E8Di1+11BDTXisVG7jojWuTp0snMGb03x0r9dWsBfWd8w/c2zFaTmf0YIpzRJcPqUSsD8lS99yYTKplVDeZBk+sTQpnW23+sZeaLXP5FlBp0fxREy0kOyLJ2AVNBHijqilnU/16rhQ0yto0uHDwEANq5fRIf0/ixL80JNLA/jDqPxkvZKR1btep6HxUWFCn32mWeoLRttWvHuKJ+epAuVQnJYmZd24S3GzZEkBR6he9/j+9AB9aNWgJTWOk/LRJdjc02tdf+53cQ7uzumfb0X0sPvOBwRoU9WjhxGr0tjmaRYXFrC+rq1Th4QSan0F78WmHQrgErbAgCD4RBNipDQIa1JksAxyD4ORjyh1rPiHgqMm1QRipe0juWYuf5XZ5r4jxSRkkitm4XVa1ux99bvKmawkU7WdWwCf4zlxCntH+22xiKFJvSlkNw8v8dEiTAXj9Dx76vX4VJ7nWaKhPbY/UydX/Z8uGsKXffxo4fx7tUb1Kw17lZ4uZ7XQsKEwUZRmL/TAcsmKSSSOEE4HBpU1c72NpjZ5wgw6tMSzfFOt2vQzOAOEkKpslQgIBSuEHlBiDzZPDORYJ7nGJ3pffMtfGBLIeFmFqjozFaOfpNSIsv2WuMtHq68dKLgqSDd9wlRZ/aWv7DVqJBFti6lFyPumUTxQmT4Bsn7t9c81HQBj2YNI0/9PkzjJGoOaj0la/7gjtvwjudeUMezzOoH7UWlMOtIFMVGZxyOhtjZ2d7j/aeIrilNaUpTmtKUpjSlKU1pSlOa0pSmNKUpfZMQG/PE/f85cc5lzfORxhGWVo6qg4yZPACNZsPkHokJFaStroBK9GZyPln5TjITQ8uMNdF1PYMUqQUBwpHyBP3s/BJWZpXn6oPkub0Y93IUR4Vn27St/7Nju7W3UWQWeEObunNb5NLyiolRHw37xgOuY1ellMaKHQQ1g3JL08yU7eWEtCjkJJloEdb99dCk+wbSAVxl5f/S6UUInX+h6aFPfU20typM0B+qMUtmavj9RJ3/w6ub2E4puV+WfxvzVMZQoxxY0kKjhXF04GWyOVflaLMkMaPguK4pZ+95HoaUxLno6FV/2J4+hzsG1RZFeTJiXSVZ58YxLRDi4O8cP4GZmTkAwO9t7wAAnutvo095CUyeHnNjyYNj5fFglhdFPUOjOyyTfSG2WnsZMjuyXt+cP7PslTLufY3C2A0xUUYkcbTI09qXACi2/fdPLYIRP7lND316z5Se7Q4T9Aw/+fgsFI/84eVNbMY6CX2eQ0LnmkjSxHgEOeMYDgdI0wRCigPFdTHGpeu4EFKCWZ6IIrJAe+1zxJOei8IqmV2NOCuhGArPJm9SawYr5Dn7EJWXvzDcse6z+cjOpzTBQ2R72lkp/xKQe1wsmade12SKrXqR0nNfwhrEPDSpXwPJAEfxxKduPwRGhR1k28WO8aSr/tYGCQZ9JXvS2Ro+xRQPfuyFNewkJJNSNe99v2Zk7SjMC5jYVUmEiG+BbHJk4AcqJ4QeW87g60SnjCMaqT7KyiTdgEE6WUuSRhAW14AieSTjf7gW4JVttdb9Mq09T3c2rCurUX6F/EiT0FQTeRwAhOFpz3MRR3miV32dXus45zmiU4oxmcctNEfxGVXILgcNrnhhwGqAr37/8blZSFr/ew0XPZ0zTedH6seIiJ+GMzV8Fmr8Pna1g62Q8g9l+TriUf640+duM6i6fq+LXq+P0aiPLEsPWDYxyWk89ff3PM+sU0y9PABMyONpl423CrBYiXsLieILuT7Uc3+i0TYe8k8Rsuti1LXWGQsdOAnRVUCbjutINj/qOcs5L+Sd1HzvE1pByCxHQcpiPpVC3sFdqUI2Mw8N0puGcACunvert81AUtLtUd0x6xynfrWHKUZDxUtJy8eXhNJFPrnex06sZVNv7J2XFpewsKSQTS+cf950/VboTYqfXPqtjrmuh4BQOGmamry5uhhEFEVwrNyVGlmhcpBqOWqhaSeqFPlad+KeuwAAn95WiKVnNlbR76mxEVKavYBSdcp6SPmbkh7nOKg3VN81G6u8XkUk4L7J5iFZQqlW6JQT/2YcDeKhITyjh//G2VnUIvWeq75Ej57n0fgujzLMpxrx5eMjsTr/qbU+tiMlk0B6uOe7uO+B+wEAW5tbiIaUt7ZWx9KhRXz9iccxGPQPVDY5jiPrQQvNVksVV4DKw6NzNDqua4ZQI+E3t7YsVBwvrDGmeEqVzmMhjBnjkJSP6qfnF3CM8jF+qKPQlM8Ot1FAb2uyUd0FfWr8ED007ycmXVOmMlqr9BAprfdQPxzOkVpoo91lFkOTE2KOueY5H7xzEe5I6dBXfYaI9HSHxvfOWCImXuvP1PDxoXrGp69toRPp/cp4gnogL/jBeZ7bT8j0QGUTY1y63IWQwuTd4o5rvl8a5/tNLfNbs/MmEsr3PaybSBFhInt6XZ2flFWKD/UsNVY/cuQIbj+sipl9mCIFnlq7bPKl7qZ30YPzxss5dfXzuPn45j3KOU7HqZgjNb/GAZjOZzfJbmEzt7pG6xNCcrQcQv5JBlBO11+6bQ4O8ZJoenCpUAknXWxpJDCk/Vx7ZQ6/M1J9+MjFDWxTwSWZdPPn0vOKec2B+x94AADwyFe/NJGXXnahi1JKFX5YbxYSyWvlpNfrok6hHXqRy7LUVJ8bDvpmkOpBzSjImYG256lYkyQ2TJRYxrJnfR/fTcnS/9cLzwPQfDEBblrFdGz8HONOvrIaAceMwrZx44ZhcN/zEdFGTodwpkliJuxoFBrFNKjXUScFU1eGGAytUMsJC2zA1T1varXwmb4F96a+dTnQoW5e3ejjHCWejwck6Np1UGEzzHs+3jav2vuznRTdPkGNKwxdAEy1yzTN0DdQ64MnBgaPDFt6bBvNNpYOLQFQAs4kL9VVLq0wLc9KfskYTFCHHvs0TXNYrArqol9As6n49BHHx18nw94/76pkshzF6mg6aeH4pg200GvDSnEFNX9rCL/MYFdrzBdLx4QsjsGc7WPmRW1BjD0MGuoaraS9od3Gn/TIMMU5mC5ewBm2qZvXNwY4M08hxsRPicVPCzUf395U7X1hZxE7HWVwzmJdcY4jtcK5Br2+1X9bCTpIkhBZalWk0w/L4dueXzQ0Z1lmznPGTL8Ycys2nFUGKP0Ide3X0wzfRd/in4864120jVXlhM66sUmhkkZJ1wzvAnYlTrtDexq4TKP7vK5IdUeF0b2+XcdnOzqRcW7oijiwRa+6utbHWZJNsqf4YzRTh0vPnqvV8BeaajP52c0F9DtqDqaZujbLUhw9fgyAqgC10+max91KklIgiiLUgppxokgpEOuqYo5j8XHVZp8ZmaZkhv0bKG/O7QqrCT3vGxL4EXKkPN3Vyd0nf7PxaNexA9bPKj7LNyeS+C2OspwnrWTkxkmVWWHXjBvzh6M3z5ZBciyJL82bgGTTa+fm8PltMiI4EpyS8KZCYp2g9ze2hjhMsskj6H2v7sEjedRiHK9qqPv+tNFEJ1VrZya0ISkzoe8729umIvLm5jY4kxMNTQdNkRXCpYay9Fw7pAElBd2kXsjGjo23o44/lmb4y4dUcuv/uPWkOjdxDk3Qn/YIQbULRWjdrlBtkqnUF0AeUpdFKZI0d3TmhtLxJ5VW18o+BOS4eaDVxEMUlgpeM/IzFcANrlpa3xjgGBVYcfuqD1E7gEOG0hnfw2vqSqZ9KQ4w2FabsCTVcjwvKLG5uQmPKo2mSYrDR5Uj+Orq5bE+HhQ5jmPGJEkS+PT8ZqttEszrEZqbmzdhP4wx7FDoop1aIy+OA1QaGSx6NBN43WUVAvzwhhqXLE3M/GHM2hBV6uP592OACZvzfd8kONZGM4YKUbZfMgqiLYesolOV620um2tU0OW+mTa+3NF6E+CSTu9K4BJX7T2/McBx4idG/LTdrkM4ZJBnDN9BevhD/RYiCs0ekj6WJon5RkE9QKtBG9j+AI8/+iiiW1DJU0qJJE2wceMG9PeQlpEyTVOz5tm2xryOTtGJIWEZwFRjlp6a6z9qWVDP+1qa4dWkIz837FBLDI6rK+EllrPYfqal/Jv1rLz/KzmDZem+wmCU/y4xHRu/T88dVVW0yjCf/w7oHe9uNPHVHulNLDHOZgiJq/SMq1sjLM6q4yuhOrY1E0BSBc+5Wg0PUhGIh3qz6NI6J7UslVlhrc3X61uhexdJylzHT5IwL4gCwPAY/RUOB8ZAGAQN+L6ab3Ecm7Q5dvh1UZdQP4XMjU9Pxym+e1ntH5985GFzrbSNkFVzvjAstsFq3KGTpzcoj+VuSumkcc8mnLLbGl8NPXJ03Dc3gy+TowG8BpBzh0vgOq1zOzf6ODKn9Jx6X+nVN+aaOE/r15sdF2+dU018emcenU3SvfU6J3PnU3FbKrG2tjbhvXKahi5OaUpTmtKUpjSlKU1pSlOa0pSmNKUpTembgl52iC5FDF6thhGFbXDO8wSyWWx5jdTVUsKEPkgp4JHnJopjc5/x7NjIRO6Zsu2ZlOAEyXu7H+A/kieJk7dFiLhkpa2wrFcaW3e3mqq2CRHTbJrQxczyRuhwJ8f1rMT13Hjuo3CIhCCbBuDDxssrl/sRkSfic4Mw92A4dbyirTxCFyGRxOr47bNN44xgVDKUCwHmKStumKW4a115xz6xEuDbyRN+o+K5UuaetNbMLGbnFgAAm9sbOGiSUiJJEriebzwO7XYL1ylxfrfbMeNrQn6kyJF+aQ67P3r8mAlvjXeotLcUBc9SDqJjkATDfstsG7++piDbUUShoDIx3300SODQtUFQM6GUpgx6Ad2TI4gKvwshcZa3oHyvetP8WpN4MEMxTJHl1+g+FFCK43NhRO1+rmclyXdquGdJzas1BvQj9U5nZxv5/DX8JMEIETVME5xcV563Dy7W8L0dzU/EQyIxYboSwPyi4qE4TpSn+RaiJuwwCc654R8JWKEUuZfG5OUsQeJNqJD+BCL33o95Dcm78r2Oj1/WMOtCoQHdbM6PEhysEPIGAMLA+dlEqLNuqwJZqJ+hPTDcw0unccEZ0bE/60VWHznOBur4tUyiM1Lvfdt803QtWW6rK6UEfCWbduIYx9aVfPzIkQBv31Z930KOGLpwXiF3axTKNqlfB0sM3OFwvRqiTMl9IXIZksUxyuGkDAK6THq90UIUDq2ztpdQ/7RkU0EWKH76C+0Z/KJB/uhn3ezcmYAQ3BXNx6r/0mEarkpfUHEBPPLC67k21ocCBFe9v+anhzo9ANp7WMO9hMza4AybA3X8zHwTOjdtdkghHpw0Q+zmiabvoLLsv7jo4S911DzZqpCJ3U4XZ267HQCwvr6OKAxvZX0D0gsqHlDFygwWArnkea4CUxl5VcA+GCTEtzXq+M1LhC4qFHyo6k8xHGlP2kW3kgAcK5xJI9kaVHxGCpsneOFddfiLXuMz26M/4XkRrctf6fVgz7lTdcWXm1mGLZJNp+YaRkz7K7Pq/iQFJx4eihTHthWq4P9s1/C+TXXf1pjcVk+6sa70iJOnTxdDMA+YGGNwXQdCSDM2vu8bPVNkKVq6oA8ht9IshdRFoay+MZaj6IQVYpqjm4uhKhox8M5agN8hVIpOuC+EKCILdy0sYCFd6kG+b+DM6FgazT+e4sWWpRVyddLzymvmLn3SFNOYPNLp5+d9H/ctKp1wS0oMY9WHe5dn0SVEDVtUURGDNEONUCrzroNzO2ot+Y0FF997QX2vEc2PhYUZPPbII+oRQQN33XUnAMBxQjTbM0i0XnuAxBiD7zpIkwScW+lY6FVdx80lp6127pVWoRD+Z9+Ybwz1d/2WZhMf7VLonbUX1Dwh7fZMm8i/p5SQTOtNdhckquWbjQqy1+MyL1nC1kbgl1HK5XeDRFV4JanXeGwwso67OEERJRupxHasLjq52MKA5utgUelKTTBIV923NhpihQof/eKsh5/tqedtZTnq2qazZ88AUKHMGxtUzC1OcbCkilUwCFMQiWUS5RXJpiTJo4riaGh4iUGaYi28am6XZIsk3v2+M6fw+5fV/tEnHTOOhjAFRMbQZVXoPhu6yAuHbp720NdsEbbrRUWKSY9QckkbFhzcSzpRV0h0ieGOLDTN68VLSi5BAicWlD6+xiTuoCIQ/2Uhwrduq/Y2rOfqaE1Rii66sQ9E18szR5frwfFrRgmp1XykFPM7HAzy0MS62pTY1Zy6nW0jGLiVJ8cON9I5M5hlQKvVfJPzijFm7o0Jyut7HkYUFliApiptsYL0V0tghynCCnOruiMXwjyHezv6fp5voKU0QthxfbOh1eOk2iNFcOIirg0eNeu3g9+99yQA4GSrjkQz70YXQxofHqixcRkgjW1EYJmMW54A/kFXKRAf3l6veC6DS99sbnHJQEKvX189+Dw4jEvX9XD6zFlcW1XGy3qzjSHlxxJZYjYGkxRHzTp+LYCg8U1siLcWuNbFjDFjqJJlgxMdtZ5QPD4GZ7Yk1V7zeVLOnMIiaffBWmTt3GCVoWkVxt3Ce2ge8s1GGgB+697jAIDlwAOlj0Cy2cOQqq4xzU8OM00IKbBEG08vA/4Pyo/zkc2cn+aXVJjM7OwsOttKQet2O2CcIUkiCHHQObqYrFB18vOAidPXo+I4LtJE5zSwDYj5JrwQ1lGC6e9OVd/ZUvoqQyEZ7JwSuU3AVtKt+7WCySzZVeYVgL73fjcEZWLjv41iy2CHDHzo/tMAgBOzDQzpeWKji2FEvFSj8fcYjNiEwFxPKSF1MPyzruKrj6xdzZ8qrapNbNw/JGRyS/LgOMxB0Ggg0muLVUGKOU6eb1KTFGa9Y5wjSxVvSSsfX77UMZMrTuUPnKDM7akiHJQOMUnjyvuuN0LK2UBny5uFwsageKhQMRbWJkTa80PztIuPvvocAOBwu45IG0vXuxiGxA/ET8LNcwlmQmB5RLk9JfCvBuobfZSMEJCx0TearRZSCmNcWl7GjbU1hNEQQmQHLpsc7iojVCEX1yQj5D6pynaKPAS7eA3H2HNsB8nYprC8UZtgYSuQtZ5ZBk3fz6vc6kpzurr21uZGSQfKNxl2OK9qiuc9HOO7cr+Z4VcJB//mHqU3nZipI9Tr2EYPgyEZWHza5Lu5Uu9KiTk67wvgl8mg8bvXtWyqXg/OnDlr5MAzzz19C2STykcJMGOccj2X0joo0nkxdQijynNLle2SWBkYqdv6Lp2XKU1Tk4ZD6axkathTvbFylE76PiTLfd83cyFJYivn7V7GqEm62R7XFNZQVJy326syoDlKd6JD//GVpwAAS606RmQgcTb66FNeHFCodd9aro64LlYoF043TvCfKCTtd9av0RWpCX89euwYLl+6CEClEhkNBkjT6BbkNmXSYS7AJEwVcGsPVfim9vc0ztty2D4bv1babVl7JH1vQX8pbqTpYXm7hU+brzVmb8bLRrcqGWsbMjBO0v5REK7meWPGvUnr4NhvALAcCczDLxIvnZpvYkSXhtd3EFE+rozCFefrHrQ/pzuK0CDZJIXEB4ntPn5D57iy8hc7Ts7FrmvAJt3ezoHKJrWf85GlqWUHnGBsLJC1L9Ohz4V1jJl/tUGzFgSmCqi0w/oZM/kH889Ydhrbj97FkDXZPrcHTbrYNnrtZbyz19/dpnyuMzHu41/fR/u5dgMh3Zbe6CAjncmhdS7zGDxa6JYkMzpT06/hn5Kj8MOrV6gL+Xqg8m3muqwGBCRJOJGXpqGLU5rSlKY0pSlNaUpTmtKUpjSlKU1pSlP6pqCXXegiZxy1ehNJkiDRyYLTxFgipRAmqaS29EWjESIKc1AWW3WtqvygPcVk8edW8jyRQWpPieOi2VJQ7OGgjyik5OB25cOCFd72QOxiDeVu7pnAXh5WZt6JO44JzdDIrGarZc53drbyZKtWtT+TcL3RRI2q4mxvbiEPS2EqDBOwLOIRQJWojrbqmNGoJCGBNlUZbHloE3LpKiMP5PURPPIquYGDESUh9BwP/6SlIIsf3taww3yclCUd1PcU/aGVSPyAyXFdLCwuodfr4fhxZYnudruFhM2MxmyGChD0e708Ma/MvVBRZFUbMaiPHIFlI7ekzSN7muoneST2ieKyqICZKHu8Kr3Tmo+5dX6SfTzvB6NrJOMYS9wpY3PsxNw82nSYS8BrKz4bhmHOTxR6V7sRIvAJM+VxRFRJyHUc/DyFoXxkM3+1HUpQy10Px04ob/rw6W8gikYVKMaDIlb0xZaShubhh+p4OrEfOXqLFeRK8VmK9hNKVuUptk/b3972FOoiB4Cp4DfJM1n1DDsRb6UcrOqPfcwphJeb6oIGrcNMf5frAWa1dycV8GYokW7DRWNG8dI6wcfdtRF8qmxQC1xEQssmB79AScU/Yj6iNAheITIrXyyzZPfBE2MMnuchSxIrTD2BQxVhOWM5nkOH9DmOGfOa72KUaXQyUKOiJSGtXYyxvFrhpFCxm54nu7qn96BJ19kebfotZO5tZcxaNS3eMY79HP1cqwWIozzxeLFCFKD4XX3r0zMtzGkEWSbhEl8kDRd14qcOySaxOoRLax33HcQkmwLHwftr6to/oUrNOzvrpouj4ciExzQaDSRpdstkkxQCjFuob3W04sIK9MQkYmM/ii1Kux1bBtjPmOTKfhHjUKE+cc4MguD06dNYX1frwm3nzgIAHh0OMRpSYmaZV662OCx/HauKbq3eQJbmKD4tr+3vJ5l67rJfwyzdF6UCtTlVgCVqx5ifU3y1QXpadG1gZJPru0hIb/K5g5+kSPDf3WNsXnjhPBaXlna95qWRChHi3DEhoI7jmHd3rSgKfb7b7VrVUXNdWwphZGpqqrEB0AU46Dnqtt1lRDH82u5ujqgwbcm84IVfCxCOKISpAgm0P9qPHjfOoHn9hHwtU9elpWszU418qVZDQG0lcQaP9PBewOG2lV6f0Fo5cyM0/AQucIXe84RXw88Gqu3fMxXhMiS0Vzp79iyuXroAAHjXu9+FY8eO4YO/9oG9BuFFkUYcOwSzZtwxKR8yO9S6co2yEeQMWmdxSH9Uyc9J7xblvVllbyp+ViHsUHiu0YvGdOmynm/tCZl1fM/lj5Xev3Qfg6UX8RLSrRzqnPPikudjjuZiGGVwiJe8GR+C9jED2mte3+iryAoA3HXgUbNt7uInGoqH/ot5Qj7WWZqaxP5RFOVy4IBJQtJ+V5ZYpWLsC99Fj2V+XiLXmSKd+sdCwkVhdSG1YhqISWut1Qf7m5WvKxcn2DdVobWAPMRqwp6hEAab80yewoAjl0sWfxGvHWs3TBX0UZwanSluemBt4iWa1/5WAkHdiQMfKa1zO6MIf51ggx+2upZRsQNwL99HSyDbhw4+RXRNaUpTmtKUpjSlKU1pSlOa0pSmNKUpTembgl52iC4w8gRZebIcx8mTWWYyz1FCVkbOrVwzJTyCJu3l5OD5FSy/dtDvG09HnCSYnZsHACQUoxtFERxdyl3CoMaK4a0VHgF6DnWi4hpmfkrAeDkY5wjqyisYRzrRvEBMqCIGZkrS294IDURqtWfQpeSLAMMP1pXXbcfz8CcDlcw6SXRSfwmfYrSXHYaMchistzO4nT5dw7BJeWRi8pJFRwK0L6nzc7GDtKG8UTKRCOgbvaalxvHh/o4ZDoncIp5mqUGp3QpyPRdLyyu48Pyz5rvHcWJ4KMsyOOTtGg6G5l0LOY0qPeQGTgBUeFHGc2XtQoVcM5Pi7m3vxOTYa9sjXfBS7ZFgt+gJqexk4dofbSr045qU+PSwa46ba+nnIZ7z2XaLg3V0OV+OLcrnYXLfLPtwr6pvMOdyCCp9zRPApbl3X1OhJh4b7JieDTrbeLazDQCUXPLFekn2pkIOCJCXtoA+KvFyqViB1RLybzohrt7IjTIflD1WuZdz3DNZHgtbBpXZglVcWoHMqEJpyAxVua2q3ZhFr+X3N5RsuiGBPyWeANPIrjxH1TJnkFQco9tMIXYUQkI6HIOhkpEJCcD0cA3souK1hURCNqlUewzE5FW+jxC8j/W3TUls13XMK2eiOFa3ghhjaLba6HQ66gBXeXGAIld4lL9ASonZ+TkAgMOBERXHEFkGkRURAuNJySt4SzV6Ez2+mWsr4Dd7UP4O9iNt7I3N6zkyJwjUWimEwA81VO6gbc7xqX6n0AfG8tydyy5DFioe2g4AsU3oL5cjJlSETjzOjjYgX1Bybt53kdQV9CZJgHOEJrqNclh+GY55ngRw1933qPsWFrC5uYntrWKJloOkfaHF9oPkGm+5+k9m/qHjNF72emSjGyo92BP6XJm8V46dn52ZRbenvs3VK5cN8vq5518AAKwsL6NDBTxGwyFinYtT7I6ui8II72koZPom4/gy5eXUSHvX4cZLPec4YIl697AlwHUepZqHrQ7lA6VxCI63EJ/fUffFEhnxkpcy1Omae5uquMoTg83SGKjzDEC/bxeiuBWk1rrhQMlRz/MNck5wblY6rYc6jmPQi4DFiyznB6HXSgaTCBqM578n0oTzdsJy3R+as0KIPCIjjMo37vKsqjVzP31jJb5HMecbgHfXlWza5AxPk869s7Nj2nnDG14HAFjJYsTrKk/b0AccKsYzchjkgGSTLq607MO5onih7QoIWutmhItlmm9vWFwEAHxxYw1BXelVb/m2b8UbH3wjAOCHf+THMOx38YmPf2yPd32RxBjAmJVz0tL7C7kEresLeUWRXzsmv+wRFsXDhWeUdOFKRJD+ra/J85lWInKKnbb+t/jSXD4uu2yEka03j+teulv5XvK7aZ1bFxm+NOqXrs1zfC1wDo/0pu1aDEY5SgUDQko2r/Mvu0s1yCtKXi25LmRA6PKMYZn2Sa9cULlxH9vUed/UK+g1eDDoI71FhTIY46jVAkCqvHuAmmuyQg7klOeOZJzDpcJfHhVIKNI+9w9mnDVP2KgjB3keXMfaH1Tl53ZejJq0S790W+V9QoVub82j7yJdeEMIPGQirHJ+13LtkOeAU4GBnicByn0rOYMkXVRHsaRLPhbW1LEFh6FG0Tz+MEWT9kRvmFeo5CfiPmbn1Zq3vblh1oNoTG5X0y0zdDHGfhnAdwNYl1Leu8t1rwPwRQA/IqX87b3alVLBa8tVonxaYOMoNgsr8wg2aVXKGdft9cKj/k9TWxBaSc8cx1Tr4Zybxd2EsDGOrFIwyrHEdIw5MFUgrOSwKCQ6tZPKj0/SLE1MomF9f7/bMf2tBfW84hZjZvI2KFxx48YagkBtIGu1Gv4eLbD/WWR4cuUwAODKFV05wsPK4SMAgO+RKRx65zhKIQZk6HMkBjoROw3E8lAgXKHwyKFEi8I5Ygk06V1eQwUDHi5HJ2pGHo1KoRYHS9FohGeffFzxCD3TrwWmSmeapmi11STXhs7FpUNYp0oPjEkrqaq92E2gMaMnUEz4XDZ2lGhMQJWpnJizfNqZIDCrhHeFwWI3MpcK/E9kOP21KMSnDePrJM/5te+drZv5Go0SYKQWltiRGBI/xfT/kYhDEj8NBgIBzdVYAg61/UBLPfexQQd64Ti0fAirVEUTY/DvW0xjRtDxb1fcE9rKkKYJCtTEeVGhAFb+3uv7smJ/qsatsijB+Hn1pKp+VfVX5hteJvF3SGb95zDGn5pLTfpic997F5pmIxWOJGSofkeONDyUkew6EjpIjyle6fQyw0u9TKJB0PxXkWx6rJ/30XEczMzOAcgrnN06YpBg6HU7Jtmpqveq5ovneXApLEhXIHQ911QKy5LIvC9jDEmqE+rr9ab0OHudqdpE3GTfx6nMPy9mHo63WzAuMwZG4WJa+bLDh7Mswz9emAMA/Ho4wqdM4vm88EMmlVr0gwstY7SIRxIZJeaNHWlCrDIap/mRQO+IUuS3+hnqWo+QDFsUe/zatjr/5X4um0SaYEAV3k6cPIlX3HU3Hnn4z1/EuOyDXpQBa0JTJpSh4huOibnxogB22GnxpBy7Njd+lQ3L9ga3vBHOL902hgKg0+2ZDbSu/NXt9cwapFJQkNOT29X+iJc4N6FvtVqAnyHZ9LEwxkOk3xhdMpMmCf475vKqfqOBBHNozeMSgozU3Z4y4i9mLrBM1apHEi7pU6GUJpz/vpY6/8Qgf+Vms42QwmmEEFaRk4Mnxhgc16Wkz7nxRodFB4wjoXBQretyZht68m+p2lJzVlL4phr3/ciHirWj0FHdX6eYMJpOFoz9dojti1IR9pB5Muf7hcVDAJQM75Ch0/N8vL+mvuvHwwg3aGO308nDar/4xYcAAL9wegWCHMqjUYQm7aMTLtAlx6H2ajd7QGdB8eGc9LFMfCqEQEJ601uWlaHroY01ePQtHvv6kwgoVHKxHSAbdQ5ShBRJCjWHrQcIMS43igbtKsdMro8ImzXG9AZqwy6ws6t+w1AM1ap8iaqDe1zHYYwgk1KHVK3FLHeWFPpt9CaGHyX95VOjEF8ygtfW59Sv9yy0kNE4iBjIYq03CZP6QO9xmqHAaEmtY8NQwqdPFEthquHdSY7Cx0oOepO43apaf2uIIU1jOCTnsywvFDBusCyS53rG2J6lwipAVuFUual34MjXwSy/1y4qMCmlwIuSRRXrZOGQZWCrSq8kizLwZyjV0MdHIR7CMG9DX05O7O+cqeVV5hOJlHSmEZem4q5Hz1oYZUiocqxozCEmkIMjBWo0715D1WIf7gwR01q7tLyCAdlfkjgpyokJdCtDF38FwDt3u4Ax5gD45wD+6Bb2Y0pTmtKUpjSlKU1pSlOa0pSmNKUpTWlK/zegW4boklL+KWPs9B6X/Q0AHwHwuptoF0mSII6TggVUW/XSLIMkiLhJ1s4dU/ZYlFEQ2qI/wXJvyh0nsWnD9XzLW6Y9m5nl5WTwCHacJknuQbeRFBVojAI6yIbzl2Gy9JR8TKywJPIKcJ6HdoosNQnp+wP1vo16A3ML8wCA0WCIH2qoa091IgyG6pq/u6Bggx9zAtxJ4YorHoBYtZVuR+gvKCtruxNbaFv147rLEZB3YH6UAQOFOvDbDfjkpXyzrxAJ/6EwEhKCPA++76FFsMlVU1L74Ihxjlq9gcGgb5LaZVlmkiW6roPRSHnUOL3XjbVrxotSCG2QlqW+4H2xShibay1PzcSEvBMs1az0oypB5fjF+d+swhO0+4OK11cWWLC97RL3b6hv9e1u01z7CxTu+7F6A3f66thcmphxj5IIo3nFT81+DJ5DIAEAHc/FHPFNMxbgfeW9dtoBaoSweL2jPAS/ihzJsXrlsoIzAxiFEbjrQqR7ewFeDMmxcMAyLLiYFFTCCqauTGA6/gT7/nHaz/Eq79YEj9duSMOyB7LQNV46VUJjVJbw1mR5v6TAt22qUK43u3Vo7+ffmlXe7k8wH3fW1f0rAFKSTXESISTZ5Pdj05uM+n7NYQgIrr8QCcQ9xUvtuSYCkj1vIrnzgY0tQCrZFUWRBXJjkz/TAZBJRp9xpBlBtGWGekP1y5YaMa0brXoDIwqrcz3foLg4swqu0LV2mWYlF/STS17vMSrzdBVP3qRsGbtnErJ1vF1bBnOWhzzptdsOe/I8F/dTyM9b3LpB5/w8FRr5k9k27iQeW0wFUklrXTfCiPjJHSRGNgktYxjgxYpn27FEo6++V9aqGwT03V6NOhkAQntFgWuXLwEAjh47io2NLSRpRXjmQZBGybxkWMZ42fUxJJaNQjCXSFT7ViuuLVCVrLbX0urDOeLBOiJF3nf6byypcAH9rxvMi3IIKigSxyF+gO59Q2MWrabij79I4XCfchs4Rxr2osgQETpAihTOMXWt0wmNXlHz1MVrkAgS6lws4BEvsVYdnNbKe4iXGAvAQOEfS0voUohzZ2fnliV8Bgj5SHyq518mBOqBeq8oHFKxJ5iy8HESo4pfpJQW0gvW+f3waRntXLxHpxPJhJ2wfOJLWW3cjGCv0oVsPTDXi7S8WVlZAQA899xzqBGK69Spk/jvrqtIgfu5i7vvUSHN376jvulDzVmcJQhNMBgh0UnBE4n1WcUPYpDkpWQI0bLGgCbtiWYyAYfWulHNQ4P6eZLCbpszy0hThZb4xje+ge95z3sAAD/+oz+K5aVFXDfI+IMmgeK6Y52qZAOWf0+Z5UVhrG+crwu5PqEiHqv0kEnfe4Kus2tUxV5UastOXcFK7VrPZda/Ul8/1od8r/iXtN7k1c3x95EO/lnh4mxNoWWWODCicO40FghJB3dHGRrUtxFX47fBgBrJJicR4LSnc+uBSTHyKkqp8ztOA6nIw6c1OoqNIXMPjnzfx9ETJ3Dx+fOIdWQXZCEVTU55cSU9L+MkgU97hUajjpjQwExq+V+WS/vlg/I9ltyyQrTpIcVLX/RQ7SI/7VDdsdQnpXsZ8ANr1wEAD3p16IIZ7yf7wZ/V27hdsQzm4ggD4qUwFkjm1Ak2TMCpTY2R23Yd1EgHD1yJGaFD9CPUqB+va88CAH7pxpqJqDt2/ARGlMLkyLFj5vfGDStUtkT/zXJ0McaOAfg+AG/FHoYuxtjPAfg5+n3rOzelb2qa8tOUDopsXprSlF4qTWXTlA6KprJpSgdJU36a0kHRlJemdFBk85J2bk1pSjb9t+SKfw3gF6SUYi+FXkr5H0CgH84dqZ2SOjQzjmN4VLpUgQmUZVTn0UCW5ZsGCz3DwKyk8eOoKCBHhYExkyw0SdI83t/KYaNL40oAvh/QtRnKVnrP5SYXmJB5IuEkseKKtYeigOKqsiQXRspYg4XI33l+ft7kAdHNNWKB4bpKZDqAQERIiA4YEsptc/2QyiPwz+o+fLLS+nEK1ye0GpOIKB+Am2bIyM2tx6kWZ1iMyaNWc7FICDOeSnTIg3TNWKurvGLAYDAE5wfLpjY/eZ4vG602ZucXEVF+iSRJEVA8cByNzDhyR1mcAz8wCMI4GhlesMvY2168PBbamwCimYCs2QvUM/kNK45NSHheKIRQ0c6u56kNAMtuDRF5zTpJbPIjfC4Zokn5854ipMQ/cFLUySskkhQ1X33fngfExE9+mpn0jXqKzkqJ2Zj4wgEWqIx2UwBNQq5s6TmP/FtIMAx1+XgwsAOM2LZ5iTEmc6yDPedtL0nuRcrP2+iufT8ZE2VA1VwqeIuq0FR7obtQkHWVbRWSgI/zS9FvZHux9LU6CbiLIc2ZfhqZdr+YDlEnWfkMIXH/UZuhQd/ZSzLUSFYMfVXIAgBckUEDJDTatJamaBEoV9ZczHKFLGUZ0KDch9vCHjPtJ8+MPFo6tIyNG5Q4XB4MesLmJ9d1JXdcZFlm8jBKKTDoKQ//4qFljEiuL5GsXrt2tRKxI8ENSlYjUsaQUpPQFFXe7EqZpe8tH6t80z3O75FrcOw4zSEh4VNeBy0KDnEPQ8pLk9VcRFJ93/8aD9CkdfoCrV1/L4vRpPd10gwBJdsd8lzhcIUwiZ712uALgdlU/U59B4xkk59JNAmFumHSwXDkeTlSJORlfuQrX8H8wqJVROalUVk2qUfzCt0FmIyaq5IFk37bxAr/7foMwzI231XJKFTzaKUYLPcr50uD8Ct70nfpJ6M5v+jWjEe6LxJ4xGuPRAMcWlBz8ALpEX/bT0FgUzhJhrqn0MY9N1/nXCkQ07zUulTd45gVhN/wHHjES16m1kUA6FG/giAwuVbD0QjNmTkAwN333ocvfv5zFQPz4qmoh3Ppeh4la9ZzT2A4zJGKehjzBPST4QnjSZ/3uxLuJkcEMnvO7UXmkbvoXvvqw+S+a73xqSe/AQBYrjVMwZCjR4+g21FFEa4tNlG/qJCeEa2F78sGaBH4UMYZFqkYzxUuUDNPlhhRd1JSwpbrPg5Tn9aFwO1NJfO8RKBN+4wdEgmnTx7Dc88+CQD4ez//d/DH//Wz1AeGhx7+qtlHvFQal03EG4Wh1POb53PVXl6shO2M673XBBlj5WDM9XFM+M7Wcw/E2bTPNuwE+ya/ZFGUSTunmGlXvduSW8OQrh1mI5PD7QvxEAFXsuc8yZi/t1hHg9CObpTChZJjIZcmx5IDaXhI55n2pcSsBtt7DppNLZskahTl1EMeXWVwaCwfar9Wx8yMyvm0fmNtf2OzC5X3c71OF4yzPN8741hcUrJ5nZBJdCf9K1XebwBgjsnF3M8yk68ujnV+bsfwmhB5nnCVJ7SCmQyPllHadv6ykmyy+fIlobmqdDFZcd7e51HROb+OEemJvTSCIGT7QxHQIsTbFZJlP8dD1Gif70QpvAbxEvJCJL7MTDSF1qQdkWGRhmWj30GrpvKEe82miUpIaH1dWTmMzo6yVzz39JM4e8ddAJR9xiG7wm6ILravKjwvkih08eNVyegZYy8g/wJLAIYAfk5K+bt7tCk5c8DAFDMDCIIaMjIcRXGMIFBiXyt0SZpCZLZyp96ZW0JML0CFqoyMgSGHX2cmmS/MllSfF1IaI5XjB6CuIc0E0qTI5AXhJQU00zuOizpVGNMfOssSw4+MySK0u8II4ZEylWZpwQCjE/Q6NKl+953vwEJPQZQfGw7xVx95GADw47Pz+IcEb71G4Y6NQYTrnrqv5buIyO7UbXnoUxicEyZo05jEEUFGAweneup3v+Wbze2ZXoaEDGcRMfID1y6jGKKgFUxuvlOSJQ9LKV+LA6SgXpcnT98Gzji6XbWBjIZ9k9DZdRxTvcOhsZVCmGT1tiGDwa6gYy+yedK+amIVRi9mGTknK+2FNiqv1acrlIZSF3ZdkAuQXQHQwuhSqOAfzM+ZTd/zQuCvbKlE3e9bWsTfpOovG8TThzNmFsNh4GHHIeNV28VAL/BhjDni1ZDCX5fbdTibZIyse3CJ914TOViliphOU8Gm7798EYBdZc4KH5USAhmkrCzx9aJJySa9olcZurj15WyFZo/vaL5XRfWh/fVMFSEAACnyik+F55SMWPo3Q8VxO/zS7u+kzTJdTaebzSbiSIcYJsh5ScntTy/OYpP6eCET+IXuNgDg+2dm8DdmVdhef6jm30wi0CU+8Jt1dF3ipRlXGScA8ChBkz5/NFQ84dRdHOtmdG0NGfX33q7ADFUaWj2sQrfvf+JJS1HJ8Po3qkpUO9s7ePaZZ9RRmR64bKrVAnnk2AmkcYw+yaNepwM9tr5fM1XONCVJgkQndBbCQPYdzgxsX288lXJGN07kQ5jnFY0Mk2i3Td9LNX7tl6gaMyn3D60cgkeP/kaS4MepquGPLizg/aRwMyqC0UoEhno9btXRoYI2o1kfA939MEGLnFoZOYWGLsNx4qftpo+U1t5zvRR1antI1czesLYFCKoeKlPz3s1mE47joNfvIE3Tg5dN4CiuNfYVFYYlaf3ey6BVrp64/56hUta91A2mlCXRZOlKe7Ztn1e85FKy3V85NG/6eDnL8M/IYffemVn8JTKKrlJS3WYGY7BvtuvYonVu5sgMVqkKrIwSHCKDRbereEK6HCukNw0bud50pJtgntbC7UBtNt51/QYW5pXOePc9d+Nrjz8BABgN+sbg2+t3Dlw2OY4r6/UW4jg0evEkqkpAP84kVXJjv0bzMuXr7c3JlLKc288z9qJy34mfXGUg+PezdUjaN1zLMvyXc2cBAK9YvYofqCv5dX1H8VOQCkT03Pl2EyEJtcGMi4za8NMMLUqb0qOQ15AB5wbqPm++Bb1iHO2lqPWU3jSkxOVv6g8hMsWH973qAdx+xx0AVNGMz3/2v+LSlcsIo/AWyKay1YlkFaCAC1XGeeO8EzmPVfGKPedlVrhv99BFS2/aQ7cZu++mqEr+WW1N3KNr2aS+6B+uLOI6rUvXwxh/d1MZkb5/dhE/eUjpTSEVvKiluXzk7Tq2HTW+g7aHRIvxOIXjqvYG/bzYzRGqyhg1aybj//GRAMhgC6r6/K4LV00YLGxnKyQY6VMZcKCySfGSC8fhxj7QbrdRb6h9wc72tkmKn+/LS2ufTn3gecZuwLVR0HEMr42iCNXfOteFeSFNjDqWSfvz7odXDlIu2eftZ2v7gOKpX19ZRELvvJpl+B/JQPhDh5bxk4uKl7ZILtUTiZHWwWcb2KKK6MOWi4zakFGCwCcAEungNd/Fff4cACBEBod0sbu2RnDIHDagsO23Arjt7DEAwFNPfh2CeOnM2XO4ToXhXnj+6Ym89N8M0SWlPKN/M8Z+Bcog9rv/rfozpSlNaUpTmtKUpjSlKU1pSlOa0pSmNKWXN90yQxdj7DcBvAXAEmPsCoB/DDIbSil/6SW0TPD73HY/GoY5hJAzuGTVjoWVQK7CcCpE7gmoTFYnhbF/ZkliPGucu/B85YXT4W6ANOGGIhyhTuU4RTQcs9pK61/qtLpWyjxZPhu3zErLM+k4rkGhSctbmWjkmpV8U0oJSYFgZwkBcOX557FMn/+MlAgIjvimeg0OvYdLqIk5IUzIWC9O0dUeyCtbWLj9MADgeuBgk1BaM1eVFfa460MStDVDnmh/AxkWKPFqjbyBbe6iJzR8PU+U5/I87jrJyvD2l05SSMRhiCiKDAqv3+8jIxRXxh04bl5YANC8oi39HILCDKQdhlUoiT7JG7SL99pOFjhGk7wI5fOWB7USjcH24bG3+VQf4tBoqVOu4oUNBtxvSlxzuDSf3livwdcliinxoJQS89TUXAis0MBf7I7g3a5QNNcDji6hfrau7AAAejtDHCNvEZMpUhrjL2cR7qIy7j4VTZjzA+zECgXDmIXShAR3eI7wPHBiNKyEpHEcZKkuq1zhbyygJqzf+0LaToIml55SLoJg0G3FpO/j7QI50NhK5iv1/fYttkfW7gN5tnh+fjgY5QBDBiNXT7vqYB/AYc1LjFPSdOA1dR8uyQufELyBEGjQk2qjCAG1tbbdR+0elfD3et3BVqhkWeu8Cg1Z8X0kLUqUCQmHZFOPKyQPAByjsu+zXoBO3DPvo5NihmEIEJ/jFiQQz7IMvU4HnudjZkZ50Xqdjlmr0jQxaFMtW4N6HRKa9zhoKUSS5ghfl+D4KizfRrrQg6X5R5H5WPpACSkxKfR6jF6kJ5zZz2AVxyyetmTe2Zoah4eSCG9nSj64YGbNv6/mgdN3qxM/1YVAg857UYJaRGvW9hDBK9Vad6Pp4QbxE3t+BwBwxPORUUgQIE14XOQwcEJyNegbzbgOurGeVznfjEYjLK8cxmDYx60i7eUGoJCdNnorP3ETLVpr2IsC5E1ajyZdYx+20A+Vl1Tw4sRwzUl9U/LmOOkgW0LgDlp3QuagRnrgHTKFnykerFGYrC8EavSI2iiGlrXrT17DzF3LAIA1j+ECIQzcdbVePXD0CEKueOBoo4ZrfaVjpg4HaoqPG6SLrMzOozGj5JUQGX7yx38EAPDwI49h9ZpKHN7rd/Z4z5snx3EwN7+A0XBgkgHHSWxCnLjjGP1UZFWysSwzqr7FfpB3VR/+xaQmeBE8/6JI3XuMknvvQOI2WutCxtGh5Nd3MAHXpHFQ1/pSYpb4NxuFkBSjmG1lmH/gOABgU6TYIrTgLKG47m/PgjuKn3pMmpDuzvwMlolXZ2lNaUhgiz7XE489jsFA3XfPPffg/T/zfvzbf/fvXsK770YlHmAMleGmlQWcrLCxCvnh+T5SjXIufDqG3QszTeJLYEy2jCWSr9L59yHbdkX42O3msukYhd8/l2U4SbyiEH7qm95X9xBo9BKd94QEqVvwRxE86sfm1gAxrXMdmWFroHjp+Iaa48szs+hTl1NLnxWNwIRb6z3obBBgk/in/Jo6tc8oLhUCeYnEoFIIZVkCh/a3g/7AejyzCswl5pghKUxi+rzgXA4orNfr5v5MSlUUr6IXY78piiQ/oq/ZK9oHNyFuynsaG9la7lsZMUv7OdpHbUHiNLFMxB2TruPVDQ8N4qVekvMS1cVAfRihTnNpa6uP7P6jAICNxEWH1rl/+MEPAwCy//oFODMKjfzF3/8oMkKXusePAV9T4dNtQqp6UWgKK93Y2MDZ2+9UbaQZ7qWiHS88//TEkbmVVRd/9Cau/an9XssYhZOJFELI4gmoc5r5CkxoCSGTCYflUFdt4GKMF/mKNoDCAsUKkSEKdax6zjh6O804RxJrwWpD+i2GK8hBMn1JaXKujOd6Kl5rG+n0+wiRmssd1zeV5qIoMe29bV6ZGBZbLYQdpVjNt9s4SQpbQ0o8SxN8hiDQ62liQh63mw1kZPiZ82uoXd0BANSOt5ESU7JzqiLa4hZwo6s2iEdkHd1AsdtMlOYx9dTuZ5cP49XXr6BMcSpviYHLJgm1EeztbANQObp0uKSEREITlFOfEyHheWps0ySHr3LGjHI3ls/IPAnjxyeFEr5ofariOYXQDX2ZVelm4gJrb3IL1gkAwPc1laA6mUkcJgNITTKcJDj1QibxDCkZddp4tsLcmHwtSaCXoSEHGqtKKa8fbaFJVWGOn1ObgpntFBf6imfPcI4aGVwXowwNbYykb/THyyt47dUX6JXzDd3s3DwG/R7YrbJzAVCKF8kNAcPryLLCgqv+K497lQFhkhJW/exxmWFVA+VObkNnDEWjV5mkpVhWhLyWK4cW8hwW30cKaUnQDC7lu1NpJNTxd9P3PJQKDGlztMAYjlF47JIEnqO5eJjyBM6HQI+eey2MsEWPEC6Hf3kHAOAdayHRYeV3KPnX3mZICHq9BBUiBAD3jjJ0KUy7R9/m64dXcPxSDsH/2qOPAgCOHDuRV3u6BSSlQBiGEEIiohwRYMxUOytGceTrmGdsb8LIsXarZfLnZIWNZ5XsmcBbBWP5BFm267Hy88qGiEkGDWvDYZotGkV0aAEDNxu5byOjQCvJ0HfUOx92HBylENl5MDxPBqtztP6dihg6xE8bwxAdbSh0OJxLW+oZR1tGGa7dpQzz9RsC4Y5a61YEsBmo88fCPFQmpD5+emEGr1vTVTTz11w5fBh+rX7rihAwKz/X+Enrt6UA2998r/C/SXu7Sfb4qvsqL5jwgH1VqcVNGrfsJvNrv5PWuYU0g08y85jj4AhtVJbAcJ54qVajfF5him3ipbVRiD41lzocdVrngpUmBsRLzVPKmN2MBXZoY8HXe2hQCNuxOMVZkpsXiC9/1c3w4z3iu+wQ/vNvqU3EO9/+Dtz5ilcAAF44/8z+33mfJITAYNCD79ew2FKpCUSWoUM6VL1WwwxVMr3wwgvWnft0zuzNIJgcyr+bYWES7YeX9mLkSfeM64JvIeP3bCbg0fFjDgc2FV/M1BguksxfJDk2E8bw6doXRhFGJE+O1moQl9W4Y6VhcjHWDqtn+DsxNklfXe7E2CQ9rO27WKJctIOhMmR8bbaF7zqswievXL2MtWsqZOmv/dxfxtPPPmPyXh482c4KYOzb7emQtduhtYDuSZN4XO8ybTr5bWPfV+Q6zcQcb/vQ43alvXjJ1tfLwlT16Z0EJminKWYo9Iw5HEc9dXwWwPmQ9CYCGKzEmdGbOoMQOhhVuhy1S4qX3OMzaBMwYodk0/K2MEafQ8MUXdLDAgbk+XoUj/zOQhvfNtgce82g3sCxYyoM7dlnn9plbG6eJKRK9wNm9M04iaGtc47nWWAW6zubcXWsvbc93jqEs2fSAyVxlOdOHdO7yR7huuZ/k79w7JuXK8eWaE/nt51KZL9UlkuqD9/ZVrJ8LhEI6PwKc3DUVfJjVgAvEC+1KLdyO04xIFtMdxBCEB94roMj19Xa1FkKsNhSLunf+xf/CwDg3r6Hc+/7SQDAq+5+ABeeVnkLF19xL5LHldEqo5DTr912FqceVemVhBB44Vl1/tTpcwhNGqHJdHBZmac0pSlNaUpTmtKUpjSlKU1pSlOa0pSmNKX/hvSyq8XJwOA6LtIkMQZO7nALQSpNqEuNPCFxksGjpHqu42AYRqa1vOG8YmKeeDiHFTLGUQzvKVthrTpqUkJSuJJKpq4rKVqe63LlHzou7WvM/+MVqKTIxu2/Vh+zNMaQkDSMuXDJMn+J4H9rnS3Mk8XfX1/DR86cAwA0XRerFy4AABYCGj/Px3Xy5NTDCDH18TpLkJKVNtgOEfuEmqESZwkDfI1mkQxLIwpTBEeXOr9NyVyToIbX15XX9Eujbv5KkLk35UUjnCaTEALDwQBzs7MQNF6j4QBJohM6Z3DJ21+j5K5CyDxJoeMafhOTQkEKFTasw7KM/sIYP4zdVAiP3M+AlNCEdgJOVkRF7O4dtX5LDg0LeoHuf7Lpokff/UQCPNRWyBmnn+KrlIR3njzT15wM2xTm6jGGkEKp1lmKuvYQdSJ06BkehTzGApilYg3tmRnE6yqpdE8IrNK1S+SxGkHidU3lhfrqsGvm3nAwQJZl1RVSDogYpBkqO2yDc8eEdohJSCmZt1INq6+6j2EctqyPo8QzN/MmvLoPE5NVW78L6B/6V1dPlTyviIs8mfoFuuczdYnDVMXlSMrwK3UlY7LOCH5DeZYWCR26lQpsE0LQ49xUZbzEEtTripf8ToQ+8WCDQjVSKU3Id5xKHOsTSkpIDMgjqYuL7NR8vHFehUE+tH3NvNuw30OD+PFWhAcBDK7rYTQcoEmh8I7jgpFHUaSRQZCagh3xCHPzClHb7fZMyIbjtEyrGpmaZeVvWoUmROmavG/qOhQ+++5UvuBmkBdlPiyGT+rwcYd7Zq2/QsiG1ZaHlL77Ha6L/0j8NNMN0SdkxSKtdZsiwiUqRlBjHA6tm6ssQ0AoraCXICRWrsWUPkAIMOI9JiWOjnS4EcOI5qZH144CHw8QQujR3si8/7XVVZy97fZbguhSIR2OqkJXhRStAIKOXVN1uGr6o/TbfLsKeFeZ76obmECs8mf+WGud27O9Khnsmj8u0bGLbR8jmjdHYuBfkxwLeikuUbLdBUKmbmUCHSpEEHAOqWUTUoB4ifdjSKr46dJSEXKGIFQhPYIB91LaiBXuIKUYkTspY/Q1znE78f6lS5eM/rh67RoGI51W49YQY6pQkNHDOccsFTJijKFHaP6FBSWPXL9mqp55nmt0LFTWhNnte1XJjSpkzItc4yfOhX0Luur7mG/m9g3ihdW6gxHJpmMJ8C8IIez1BQYa0d5UsmkogWeo6M6S48KrKT67hASCdO/lWJrhrBNfCA60KdzIYRznZtT3ONRoI1lSiNS5q+q7XOv3cUekru3PzWJIoWc//3f/Bzz44BtNmOqtIQEQImks4qUcmshKc7+gIum0Ig61aiNTBZjUKV+ssDEbsaUrGzJnFyRXmQcmQVdvlnaZC8zWqzxone9Z2tOdmA2wRV0/mwK/NaPW/GCU4jyh1Jeaanw7UiLSBVi4g4Rg4FtIwUhvirYG6FF841yox4xjVo8rY5ijNa0hQvRI1zj5utcAANaffQ6vn1PVDr+0vQ7deZHGaDZ1wolbQcT3Brkl86qJWZYXaTO6KYNdMExaFbTzGa/1dhh0vSryxugeWJWxJRzKGaF1yDgKkevodrjiRGFjnrz7ulxe2+x9QDksstSQ2RPmCfYvU1tXZz300nyd+wDxUqsX4wVa5+ZpnRsICUYor0Xu4CrpX0E7QIcqMN6WMbzQVjrsAq1nWbsNSbp28OrX4AQ9j3cH8G87W+jx1c4OXt2cBQB8tt9BQiGvFy6cx+lzt1UNUIGmiK4pTWlKU5rSlKY0pSlNaUpTmtKUpjSlKX1T0MsO0SUBpELA832Tg0tYiek552g1leUwIq9Yzc+tppxzU3ZZ3V9lhdf2P8s6OpZwdxcvpJR5q4ybfD259ZflXoOCBXZCu8asXO6D6VzFees4YzjClfX1kzsqx9GGw/E3yMl/p+sg2doGADw26GGDLLLfSYkLb/gcTQrifiIcICBL8Mh1DHpra6MDl56vDeldMJzw1HOTKIV+Y9d1weiiGiXBfDpJ8KUKbxFjrGBhP2iSUiJNEmxtbeWoPpHH5kswCLI6j8hj4fk+alTeO+5GBiGh0DuTcgsAdolZOmkdr6JxxOHYcfXkyfeMxXeXUBu7Op8mexqOUzLJj2wrvrmIOfwCoak2mYQkT/f5JARVk8UxmnfrNRcOeVWej0PUiM9il2NZ50Zf7+M5QkVuEeLr9Nw8vuXBB9X5S6tYvarKyh53fQTkCZwjmfD5wMXjmS7tPoN+TyFuHNcrJuE+YFLFCfLvofiXvEFCgOvk5foaWUZiVaGibE+ynefPQuntRpMSRZfZsfICq43drpFlHtwlb0CprcOEmPx9KmF9mQM/RzKo60jMEoLigkjhkZf7lD4WOOBCjekLYQiPZEXkMsxSssz1az2TpF6kutfMPLceC2Q6l47rIp1VSECdiPeJmo+HdjRii+HUmdMAVELm4UDJ01uD6FL5IP1agFnKd9PvdTA3q1ATO9ub1nV5LpFOp2P6R85e9HpdZPRHkRWqZJDc5Xvnl4z9vilU0F7o0UlUJRPzuZIJiWVHyYI/GihZsOZw/BR5tNeyGHUaqy8lEdJU8dy7CNl1PXCxHarGRkkEn9Ddkeegpde61W2jOHkNtYg6vQFWKCemE0s4dJ90HPgEsYgJjfNsmuJRQk2A+ZihZOIA0O3sFAviHBBJSGRpUkRQFdYm+2pm/TfhmpsCt9jfrPzdX6wc3sd9N4XGsPuozjuOgyVCoX6SClOsSomfJS/1jsvgkIx5Lo0Qkkf6BCGXbwQOnEzJpgthBI/QOonLwQkJcWOzhwblSWoSLw2GHbzy6AkAwHBjAy3yls/6Ptao7zrv4wsceI7m7s7adXiklzz97LOo13O+OmjyPBcrK8sIw8jk5ZpbWMSg16X+uVg+rJJa67Wu0+ng7rvvBgBsrK+jT7JzOBreJEhqNxT6i0RxvWjaC5EB2GvhYULjfmJHIbNWUcePkWzadoA5kjHPpTGSTH33M4Ri3qq7mMnU/c+MhjhNz808jhVCbwzObyFoUM4mTnkwjx/DuZ7SrQf9PjjtAdj1LYP50IW7oje9Hq98zRtUH//F/xMrK4sAgHD1GqIwtCJODpr0OqRln4PKca1Clhd+M9NURvo6uJOju4RQ+y/T1vh91XlLJ+29Kt6h8HuPhVKW3mNXpJh1rRQ4QuvNZ3pKT7kqGX6KEFvXGDMbsSfiEENC0Zylginn6w7qmbr28mgEl3SoyGUIKIJie62LI67it4CKPHmM41R7DgAg0hSSjsecoUH5A9ceeQwA8LTj4EsdXcQHJo8oYxz1IMCto8ljX4ywoJzSYBDWksho3ogsrdh752uFlMI6zEt1EtQfAeWYCrcjFPIh71rAp/zNK16n8iBDVfRXkaxnmIgiD4cDJTM+sa3kxDqT+HHStTcdwKd17pEkAqcpeoR0ptW6gzoVYmFRAk+j6w+fwdJRhcJavvPVeNOSkiW1kHKod3tg525Xjd39CjRpnRv94i+hfpuKMNuOlJz8xlPfwDdIX3/N696Ih774ZwCAerOFtevXK96zSC87QxfnHK1WE+FwYBby0Whokr41mi2zsdThemkSISHorut6Jkl7kqQGNm1MU2UGtATL7ppeScjpKpDIQymZEZx2u7aSZTP4zcBgdxe8UqZ4DSnZl4Qap/UIqLeoioED1HpK4R8lCRwSdImvJqlf97BDyZqH4QA9Wrg7gYOAEjpHEmjSJDtKlRtm/Bo8XSWGAYTQR08INOh7DSjR/B1CohiimAuTW628cA7UG00IoatiSIxokxtFoTFU6kqbsJDU0hYYVj8ZLaxKMZgkcCYtgrtdW8UjE+4rbGQqjCGFkI6qfk4yvGZ4JX2/KyQAb8QSYVsduwqJoVTfdT0W0IGod5ARyqv72CI4/k40MsUG6o0m4m2lhHUYM+FaR6n64tlaHekNtblvM4ZFWix7jJlQuIw+zLn+EOFIteV7TWhTeDgawnE4JuZkfomkFkdufY5cgWKWXMiprOTYcqhKFujf5U3cfjeM1jzbk8p92213O2EDaxlac4M/t67PcB/B4/+EFIztzEdcV8/Y9mEcBEkaY7i9AwAIaVPImx62WxR2NhoiIaNpt1ZDsKG+fyIk2jRep8nY6tZ8uNQH33WxTkphKiXqOqkqGUzuyjIw2vxKmSc+Hw6HCG9hKAfnHI1GA6PRyGwmwV1jgJOwil9UGMvTNE+Eblfs1WGOQooJn9Li00kGL5u/91TKqm7cy7g/6XzJUD92X4I7KCT/OoW/3khdJE01DteYxEyqfg8TiUxXPCbZxBo+gkVl6Lx2fQsjkk2i7qFO/JSB4RDx3xFdEa3VQpN0ich1EBI/bQiBpl7L6Fu9WggTwiylwCteoSoIPfbYYwij8JYYuhjjqAUNq0o0UEgqbynn1VWAzT8oGoXs8+XrUbQhVS4x+zCm7xlmvpdsKtP+jLhZGuHOplrz1+iTbEkPKSWb3wKQ0bozTCR61GxMirzX9LDVojDGMERCVvYh9+Fv5omJF4+oylRL11Uo/uGgjqizAwDwa77pz7aUWCE5ltG43TGKQIVBIaTAaKTanRFzt3QzmWUC3W4PnuuZdXo0HBrncioAh+TkW9/6FgDAY489jiSiCpJZiqGWnTer3hWcdyWeHQuDvMWGmZtpX0Y4S1Wqr5EMupG5SJuqrW0AKe24B4mEy4uyyWn6SGaVbKtHEa6TvrrBHSxRxc5MMswNlC5/aFZ9//bWNgQZJBwGDOkbrXoOliN1PCDH0dzDj+DIu94JAHjNq+/Ho48+ou5zOM6/cD4vinLQZNacKtkzQUZI+5jWmyoUOykhddEY+xl2SofCc1jp//Jv++FVtNt9dO9E0ELFtZWU4SQVYLpGYcxdeJCU+mObSSObBpFESnMxIl0aLR9rs4oXN0cjJGQA6gc1LK1T4R0BtIgvlsiIdbTVRI363nc97FDXmxKIaOyb1OV74wQMGjAA8w1qfhOXLl3e5Z0PgqodyJxxc0aYfbltvGKwgSl5pGwelpinfhAT1kppwBna8D+WKmW/hVTKDhhzqb03mLQn2CfJGKdIZ7qWqrVtLXGBGcVLOwA4yaV2zMHIlpCRXOLtnJeG10fo07iuRBHe/e4fAgD0JBB+ThmnkkefAACM3vgaLDypqiti8RDwlUcBAJ1jR5CSsWD0wiUAwOuWFoGuGsvXvuoBY+gKR+G+CmRMQxenNKUpTWlKU5rSlKY0pSlNaUpTmtKUpvRNQS87RJfIMnQ7XTQaDeP5bM/MIiJPlg5nBFRScUChtTxCd8VJgjRVHg0pJZiBympYIcD0bymMdbfoNdwvekJ7/LT31vbUWt6DygTmtudiNyTZbuSZ+39nqCCk3FFenu9uBPgwwZm/t+ZghZLn3cNcDAnJ8Czhmo+GKTwa66XZJhIKMWLDWCV6BLACZsrLetS1FBIj6vtASjS1VZwxXKWQEYe8Di5jyIsAFD07TCcKvAUhjEJkGPR7GA36aM8omOWg3zPeh9bMLEZUFlYnGMzSVBVAALB06JAKe4R2MNK31kmiS6Fskz05VYgs/aMiUWbhOmeyN1zsMmZjyJ6qNmw+pO/AGP6AxoSRp+e9cz4+Qvz0/Q0fIYWe3enVMKAmND8dDhMsUBjV/EwDdfJAbveG2KJH8WYDb3vjG9U1OjfoY09gkRLbbqQZFjc21PFO1yAzUvKaN2s1gIJlu90dmCSnUHNS3iJPL2POOGiB6yTVe8HIbO8Nm/yt7WuAfaBnrGvL37jsIRrzNFXcZ9Ao0njsFIrNCqU04517ngpJtmX+Hn9Ectolr9Lb2zX8ASU/fW/AMSJeekUtMPD3J7k6f2qUwCdv9Y35JrKeku0YRBDkeTshGeYcGwUA1BlHQP3ZcB149G0GQmJ5oPi4Tf27kKaQhFAEA65fXQUALCwtodvNC2ccPClPNOccHqFk60IioCIrG+tr8AhZaRI7g1mfVJgx9/2akUNJoiDiruMgTas94EV+2WWuTAp5ZFXnYbU1aQ3dC+Va5QllyMvEc3yW+AmEEHxb3cOnCEDzzsABo8Tzr4UDPVufIllxahhjSOWq44aLe0+ppKjrV6+BE7rrFHOwSAjxOnk6Pd9DSL8FZ3AIvi85gxerazn1PeHc0gUErl69AgBYXjmMK5cv35JCGVJKJDqJLqGNGbMT9hYu3qs1jH2/CYBOc3nVNeW2xsKfq66tOm/LOXutrHqPir4XQvgZbLX4EQqbP0IhXN/BQvxBV43jd7U8RJTE+XgQICPZ9BTJpuPDBHPEJ3OzDUS0znmZSooMAGdbbbQ31KqX0lzuOg7u+YvfDwBIshSDD/0uACCTAgnpsR4VO5jnHKOeDg+SJjTHcV10u52K9z8Y4pyj3WpBMq6QoQCuXryA9uwcAGB5fh4J6eJff+xrAACRCTDSLUejcB98NoFsJE8VuF0Tg4Xw2s+z9tufskzc6xmanzi+MKKk2KQTvKuR4dN9NX7f0XAR0Vp3shZgjlJBPO2qdk+FCZZ0YZ7FJlhKMqbTR0R8fwwMs8SzG5RyYybzsL44p34nKeodQuzEkYluYRRGygXwR3/yp6qtI4fxhS+o48ePHsb8whI2Nm7sZ4BukphC2sjMrO/STkAPjOu3BcS7asP8Z+7L00OYcEVmhURKgUL4+0sqAnKTSMJKfczmqwk8ZelNf07fTOuEb20Df0iy6V0tF0NCyh8KAjQJ/fW0Q3rTMMYcrUvRQgPZQOkE8SiCoxFZcHCcQm2btDdicYRkSengrNdDQOtYJ00xRzrKCsm869a2hDkOJK2J3V73lunfAAN3HFMsTFEu84W1xhiUlvUNXNcxSLgiC+bfJbPjHCtIRfmo3zqSTPFXOTn8eN+LzxpreMIfel9mH7bnR9VaaelM4HioV9zPvXsuwB/1FU98R8NDSLw09Bwc8QnRXFf/Lw1jzFEqhp2VWZy8XxUjGJ06g8cuK93m9f/4HwCLqvBF73aVPH71tz6CC5QS5K33PYCtE8cAAIezFJcffRQA4BLq93oSY5Nkz6998DfM2/g1Hy5FqQ2piFAVTRFdU5rSlKY0pSlNaUpTmtKUpjSlKU1pSlP6pqCXHaILjJHVNQXIM8k5M95KIaRJLKwttQwSLiWBzoQ0aBwpstyaa+eSYfmzijH/VeiuSZ6d3aypE2LRdz1e9buKLA+FeTeBe6ica8qU1R2+j++oUw6AUYxtsjz7zRpSGr86ISI6YHiaLL5hyNCmOPBRIiEImbMB4CRZrDeoj8loiBXyLrmOg4ipa+eEKkMKAFfou9QcB8frquT6lVHXek9esLgfNOlk9I7Dsb2l8j9lQpiysEmSot7QpXBVn1YOH0WfyjxHo0GOoajwUKq8X/tBL1SdrvJS6QP2nxO8QmKv/GZ7ISXs4xw5b2W4qxXQLyVCIsfBd8yr74cwMcnok8DHkOcoGgAYMIZnKFcHQoYTgYrvnhESWzSPu6MRLjys8kPElMOk+a0PgpP3OxsMMdTe6ywz6JwXKNlmy3FxbumIOr84i0sXX1BtJcLkYrsVJPW805+OuwYJyLmHJI71hXu2NE5lj5/2LHFU5qbgtgep4puOIXf2SXSPQgtZeQfNeQdj8nEsH1wum+5qKSQX9xX/9MHw7TNKTvEwhSTUUb/mAVRGPaD5ucU4XqC8Q/GIoUneJp9z7BDK6YYEjlM/Z2kerQ36OEEJOIM0wwx5kmfBUCOP3ZdravxmXBfHGwrfdWW4Y9BTN9bX4VOJ93SUI4kPiqSUiJMUUgqTgzIKd0ySXcd1DTpLI5aT1MpXwPJ8E6PREI0GzU+oPquS27vIFaDIV1UeTDbhvn3RXpNgt3bLa6X+neH2pvquKSXYFTUPf2GOCg9EGRjlFdzyOPya4osmzZU+Z7hA/NSCA35dFbyY9zxcorG4JgVOE1q6QWMSxxGOEo8FAHz6Dk3GkREy43Hyfs/4Hu4+pBBC37g+hKuLbZw5hV63i52dvMjAwZFUiD4pIXXelBebWPpmkQ+Vas9+IF+l44X7J3m9J8nNqt/6EMMCIYU73S4yDd7kEkeZ+iPt7wAAes0Ab6bcR06SmXUurnlAXfFQQGitLuN4YYtyUo0Y6oSqiITEFvWzG4d4FXm4BzcUQrnDOTqf/BQA4P7jx9EmedNmDF6m1scvC0JgBD4Opyqn3NV+CC2Pb6ytYX5utnqMDoDSNMH169dw9Ogx9LoKURZHkdGhZubmDCL5qaeeAgAcOXYcNUJ97K+40x5UpS7b7Y7l67oJ2hMINklfqrouL251G+V8A1NzPvJ9fGtdteWOEjDNT4GHbeKnJunIW5xjnZD0OwNuUDrNmo+NUPHFDcZwnIpx9UkXwrkzWF5T30XOz6NHKIoTjouE0KvPUhcP1zxsPHsBAPA//a+/gI31awCAs3fcgX/7b/5PpLekMJSEkBJgvCiT8gRJ1qWSDrHqUS8cHE/MzSZiiW6GV6S1LpYQzAdGFXoekPM3ZzhHOnhCBS92Mok3Ua4kN80Ayq81CjyEgRqLBumiW5xjbV2h36MhM0XBAg/oRlQECikc4rFDtH88+553Yv2Tn1Z9CCMzwktCoknI+meOqSIUxxpN3Eao6meuvWDGyPV8DAa3Jrep43A0Wy30uh2gIoKKWUnjq/hAZFlpCbkJuVSIsCBkYlVBu4k606Rn7bamSeTIRV6SW3vpT5oEzrZJBye9JnQ9fOucut8PU5V0EUCzWcdzjhrXWYL+tVs+Mkokv3jiDFaOK2RW58QJo7fi+hrwvd+trj97BgDw6p/8cVz9H/8RAKD79/8x0jMnAQDXnnkGG6SDCdKTvOEQpyg94KXudbTaSsbNzS8gIB38maefmPi2Lz9DF6SC4ScJDh9WULi1tetmU+e4LhiFL2XE6FIyhGG+IUhpQjLGjZHCGMUYzLFMyjyB/FhS9MppQv/byZb3YaQqh3+onljH8o1lddL8KspDt1q1Or5/cR4A8AYKe/n/RAIPEkw6bnoIqAqQkwpkNH7XScEaeBySQn86aYaFthJ6b11s4WvX19XTGNCnvh2mzea8UwMI0jiENEkME8fFLC1oDfr/CUfgh9oqwe+/GvWscZAvSge6GWKMI83yhzAw+LQJbjRb6G4pBdShxSBNImxtqPcO6oGZaMMsqwg72U3Y7FPYSWFda91jGzLsqoqFBMPViv2uzyv0T1/rAlDfsuY4eA9B4V9Jm7iPxBKvprbipocGVXnxM0DSpm+NNuiJ56DlamMz0KZF9I7Dh/AwKVmOEHj1G1X1n+FTzwAAbjzzDDyfNrFJjOXlQwCAzV4fbeKjGVpAVxs+vo+G599dvIClJXXt1dVr1UahAyM1ZjrhN4NARouEV28gErslc51k6K4yEMGaIvuZIBX886KNFLbiqUMX99ikFsiDlpU1h+OdS2qjdjcZaz46FMZwGbc8LOwovmkIVb0VALYIdh+6HIJkUz/J0KRkvXeuzOPS80pJ70uJWZLjMySbJOeQZPDYcTmaZDhblxLHyXh0iGxGl+ZbeA9VUvulIUOa5Yl9a2SkxS3Q24RQyaU549imqrhZmiLV1V9dDyn1VYfxqxWi2rkypPB+j8IROGdWUQZ74zCJRyYo37vJkEkVP/fl1Kk6bvOxLZsU1RwHf4GSyd9OVYM+kzpokJwKuUSTjJK1DAhoAPqUzmDT5SD/D5Jjx+CRAfR020e/TxU2pcSDb/12AMDTn/0cAMB3HNSo6t52lmCGnodMwqfN623Ux+u+h7fR856UDno7OwCAjY1NHD52DINhXqnqQOklhUTepDFiL3tT5YWTeELf/yIdRvvo9xbNL0jHdCHwPLxjWelNt3vq4O/sZKhRGEcSeJgh2VSXDDwiQ2hfzbPUc0w6hwgcDTLynDk0g/WLSn8YcQevfcu3AQBWP/TbAICdJEaLQtwu9Hp4JRXQyISESw7Je8mpeMlz8NNt9Yz/0DyOa6sXVH/qgakMfSuIcwcz7TZ6vS7mqUrt5o11k7Lh4nPPwqVNsq4Q2e92MHtCbWZOnj6DS5dUomGdYmR3KsskojGxwErn9suzctc/x7qy51yyZZO6NnBdvH2lKJv+aMhwO1PfNG55mOkofvIzCXeofkckK7oON06z86MQS6Q3vf7cUbSeVeH0fQYcetV9AIA5Ktxz7fnncfSU2lzGIsPMMeUAjF+4DJ/0puMko3bmWnjtSIXjf+ijH8fXHlObx8WVw3j9G96Arz3+tT3e+0XSbuNZro4I7VCkI4wb8EJWqKgtS/8r51HRgLabnjKJGPYOQzNPrPhp63Flg+/kvkOwPD0M53j7yhwA4Pa64qXfXgvhk2wKAw+LFi8FVPo8pD1d33GMHXAzjDDbVk6wlWOLuHFeOXeanGFWh0pTMZwnn/4GlolXBCRmSK9alRI12lsukaFsO/DxdgqVfIa7YLQfnZ2bM8bxNJocbvZiSGQCw36fjFw2z9A+X8KE7tu6q5Zbiq+0Y7qUdqbU1hjplB6VzkN2Ew6isoCr4JVKI76ccLzKFpEbgWuug7cengMAnKW0Dl8JOXyXjO5tD/Udda+bZFig8GnRI90z8BEQn5x58E1wKWR+Nh3gzp/4KwCA4defxOiTfwwA8CjVDxp1uFSJsRvUwJ55FgDQ63SxQIXfwjW1Tg65xM/dozSo3xdn8MU/+zwAYG5uFsdPqArFuxm6pqGLU5rSlKY0pSlNaUpTmtKUpjSlKU1pSlP6pqCXHaJLSiCOUzAIXLumPPae66Axq2DaaSbQJ0ujtmNy7sDVHt0wRKMe0O8IshDqB0iZhzOWwbF742D2stjuhYcuwDQqr9ClnFXZ0t28n4BONtdEhjvII/mlTHmH/nariecJoROlgE8JL2/4EiHBTftUnr3hOOgRYuAQgCsUPhT5EjVCSLQSgQsUmpgMVbLLO4IAI0+N70PdHThk/b+XuXhvS3lKr1OcwFIs8PRIl9y2PTi3GM4FhZyweSRNU2P13964gVpdoUTaM8obt7PThUde1mF/AO7kSdonJ8AFXhq+WcNe7aTfFTDvsZCAEsTa8lhgzPNQ0XfTZWG8WLOeg1f45KUlXvhJj2ObvElxKrBOsNbUk0goNEfG9P1rdezosEMwjOaUZ/JCjcEnz8CxOMXnPqMg0m/7nu8FAJzo7GCbyvWu3nEWW5dUosMM0ngUZsljJUcJnqVkuEICa+sqkaHDJNKDx5nnRAlOdQliYSW+Hw56Fivo4hc2z0zyFtkeSMtDVFm84SZQYYXnvcgxGStosOvFY/e0XQe3USh0n2pn/KjnokeXhInAlqPDYD2MaK5FobqgxjkSXdigztCdUbI9ciU4IQrm0gyPkzfxAQLUHW0E2CIw1nqa4SohJVaiBKcpTFEQP7ejFM+MdAGT3MMnhYTj3LollIHBdTw0Wk2khIpM04S81kAUDk3yXs1vaSomyAJu/k5pjjiOC05hxQoRZsuT8bCP4t/75Rdpsd64Z77Y/s2gXy2vuszLxLdcB6cCdTyhtee7Aw5J61+3L8BonQrmA3TpG0dDda3LOCJa67wba3h6Tnm6LwQtzBHi2O8N8J//5DMAgFfSGrsUBNh01LiujmJwCgk6LCVO15R805wyFya45irmYzLF1rbycJ69/TZwr2bC5m8NvViEtO1NtlARVaKr8Kmsb74n25QbmYQS3Wd3Kz3oeyAGrVsaTOIMRdqNCDX6g4d8U2AnTgU6lHjen63nCHipbqpxjixV33KOcYxINm0HHgJC49S4g889rjzR3/budwMA2s8+g5D0qjMPvhGXPv4HAIDg8afwirriwZCiFVZiiac1wtRzjBwI49SgLW4FJUmC1dVVnDx9BtcI1V+vNwwCYnZ+Po+WoFQBw2GIbfLm39jYRBSFN//gCjEwRnLSBTfBP7ux3lgz+5OFbZfhLCVw1pruu2YYhlIdi5Ocn0TLh0PrYo+KGMw6nkFgnay5SCg08athiCVaB5Yk8PU/+yIA4OyhZQDAA2fOYPaYSv/wDGeIrqp9Uz0c4tWEkOfEK97FVXRuvwMA8NRTTyKgYgvXrl3Hjc1tpOmtS/ugprxGSsl8/aqcxzlSWIoU0r7PXGLzv7BOW+ujaftm1rS9aAKfmeY5Jq955Xut8zxPCdF2OW5vEt/Q6R881kBIkSlJKjDUCKC2h4FfXOeEZEhJNs0GPvotSsHAgUVCZs2kAo+Gai/3xjvvBgCcXF5Bf11FuGycOIInLlwEADjdHbRnaG9K8qjRG+IpKlClQuYJ8by9DY/2BAdODHBcB1lWtX4A3HHBaa6YQjxSWCo2M3JLiPx4EY1nPawCvcXGCiXgJtBc5WcUGqk4twvCzI7+0D+MTpjvI1u+izvb6psPaUjub0nUaE81ijOjC1+rAQ5FMLFM3f/+X/sgLn5ByZxT3/IgPvIv/4VqZOMq7vyeHwAArF9dxeFzqrDPxc//GQBgMahh89pVAMDdv/0h4KLaz33mu74XcxSiPU984gvgclchf2OPmxD4VrOJZ77xjQnvn9PLztAFAGCqaskMQab7vb6BQkoAnoaWU4gi5w4ELRD1egMjMqhwxzGQxZwpHFMdTcXz5oJ9d+PWfjabVZDG8rXlmVU0fulQFdU/gvGW48WJFiisppsluMLUNS0y5jwhUyxTOI7bi9CkDVsiJK776touhZfd5gdo0aZRyAwzO5R3Ik4wN6cUrwvXNpBQP1epXzthiCWaLE3Px4PEbrOuh+cJjh3Qc+/mPn7EnwMAfGKwUxyPPavLvUQimRjT5oQ7jhEIru9h8dAKACCiPAjD4cAolMCEylWGXsoCWmV44iiEKeoXKOSmsM9XPHssp9eEZ1nKBBjDPC2AfZFiQ8dn0wbgGpjhp7AbYYb4ZVOkuKFzdDUVL/BGgAXiC4YMGKgNAotjnDihlLOvPH0BKW0s/+yrXwEA3POGN6G/pWCx1x57AsevKIXtFY02rsdkiKB2lz0XP0Yhtp/odxAntvH7Fhq6GAOkQJrk1QhNtcFClR+iXUNdbQMXKn7bYdXWPeYZuxm8Jv29H6I+C1HKA7YbFZ8zR2E1/TTCNvGHCR8UwEqDZFMnRosWu2EmsE0Giw7lNTlRq6FOxi/JJOb7FAYSp2geVs6PSxfWIajPX9fQ/jBGmxwezRNHceS8CqNpeD4eS9Q8dyln2FKc4HupYsynB3n+wHqjgSjaLRT1pZGQElEcI91JENQVL+uqaoCS/5p9dCUg1/OMIWuSIqbDq4XIIKz5fXO8ULWWVZ0v864cv2TygV2IWXzvoEGOh4HI0CMFf17LoFTgEK0zTXA0SUZsJxlSU0FI8d7RIECdeDphAvNdNZahNwIWlTzaGAwxe1LB5S/r759KsES1tXjiJJafUjD8lutgQM6cFlU0mmcc72iotfkjyMBpk/bqV78KDz/yGG5dRSpNe327/TRR6uOYIaDKoDnpBpt2M4DehOGLTThf2NxWPVPlPAKAQZagS7xUp83RjgBW2kpuDLZDw0urgxBbtHfr1tS1R4IaWroqKgQWaRcRRTFq1Mbb/+bPY/HMGQDA3F13AgC+/K9+EUeWlLxZ+ut/FY3f/hgAoPHe9wC0Js59/I9Uz7MUf6WueOmjly8aPTfwPaxeuTJ5fF4iMQZ4novVK5exQGkBep0duBQWHcUxhuSUSmltBnMwpDDFw4dXTOjinjw4Mfx50vXW733ft9uGcbeH2Jva6vdo0VrXEwn6xE8ezfkBGJbIANrfClGnDVwogQ7Jek7GsVrNNyk13DiCM9KGRIHhglqrnr62CZfW0YtUle/t73wXOtTH9Omncfv5ywCAhTOn0bumwtQCCnmaBfDgZfVdfvHic/jLP/czAICvfOVhPPnol/GGN3/rTYzRzZIl05mt91d9l6IMMyFmBf3Yurawzsn8WnOJrPh8L1ZPtJ5RWTlyP/vDKpJGNg2z1KSK8el79zLg0IySBaOtCDUKj91JM6CmeKhDsqnheZhxlE6ROcDCtpqjIkkhiZeurG5h7r77AQA1CtWPP//ncBeUbGqeOI77eorHQu4iIT3skEsyYGsLPzSj5NVnujcMgMThDuUHvTWkhtyelxyM5psQGVzqn869PBoOLcd0cS/nkC6QVe6pKvjM0F68s9u+q3zdJLvBftpHiffz8zOk/46yBCO6aJ7WkkEi0JghI/jmCB7pSa7M9av2CZWL7fIjD+HyjpIjw288iTe9RqWc2Yp6ePTf/78AAA/8z/8AWFHrxJ1vfhAAEP6//xOWfuHvqu5cvgb8/scBAGfnZtH+1jcDABapKmz65YfxwyePAwB+7+EvIaP5/vBXvoIlWit3o2no4pSmNKUpTWlKU5rSlKY0pSlNaUpTmtKUvinoZYnoYlChGhqBE8exsbxKkeoCAQZJIYRAQJbKMIyMZVNkdphHRYLqgjW+Cklj0ySb4SRPURViS/9t/59bkKXMUUUAsxKfW/dwXdUmwxYlbj45O4uQPMh/Sl7Fc20X30m3DQOO2Uj94XEOjypRHSEvj5ASjMJA4mFkEh/zKDHIlSCoIaHwnk0ayxp3cJgs+rw/wlWqOCcFQ0J9v5srFuxK4LF0EhLhVhID5y6klPAoAZ7n+ybpJ2O1HOlFCAHHcfLqeftovxpVhQmeqvJFGE86P8arlpeBc2DXqoK7eRpK5wpV9SS2KQnhmZkmIvIs/cGW+ma3z/h4B90e1jkaI8JOORwBhRIdoW8tADgU+piOYnBCXjrDCINQvdvpu+7E9ReUZ/FO8ibNRxmayyp5YS8cYYWs/htfe0y5pQC4NJ/rAvhyovgxSSIwjeUqoTQPnAi2zLlGQJYAiWMorLL7eQJ6q9C+/l1Ccuk2CtVd7Lb3eN6+qYIv93OPkU0pdiis9MTsPELNSxtKXt0x4+IYPSMOOAhgBeY5uWzSfRAAKMRDhrGRTekohj9Sv480G1inROKUXxM1JiEINdbf2UGbQjuaW1u4QTJWUmhNx/PxTCGxM/Utzp93K4gxlTDecV3EhIpQnmv1fNevjSGS0yQuMZy1LhkW0XL9JfVun+dLHtDKZ+7Hu10lQzX/ZRgm6vzJmRZSQtl8vK/aONPwcJRu79Q5XBLdrYaHGnktG5HiR54xCArX4bFAg8LW+4MRgoCqI546ia1QfY8F8ibWn7+ITarS6ex0IKmKnzMcgmk9Ra+LmcDXdNUp5kFI9ezf/u2PYuXoMYPKuTVkr603O/f3gspMaG8vJ3RBz7KOsXztGb+n/Lh9erorkYss5yUpMKB17sTsPCJCk/7Rpjp2W9vFKZpf3QaHBvQljMOnNW2FuuCDwaUKoGI4gjenIhBOvfJeBNsqAuHph76Id//czwIA+n9AKK2r1/DkZYW6Of6JP0TjZ9+vGty6geQzf0oPVEycComnqV37zXvdLt74oPKsf+5zn919TF4EOY6LufkFdDsdrF1XyGrOGBq6unkSm/QPpl9SYn5+HgAwHI6wLySXaaCCZyfqT2z8576m1E1dPP4s+xjToVkZ+sQkp+ZmMWRKB3poW8mCM3M1fAfTKGUOo94HrtFTZgmtGjAH24TycoMAJ24/BwB49vEn4JOu7y0tQFAxhPZRlXT+8U99Gp96+usAgJNz85j5jrcAAIZf/ZpB4CUUYZEwhidJ5r36Na/GD7z3vQCAb/uWN+HHf+pn8MKFCzcxNi+BCsuGjc4hsucxAypR7/b+yJxmKCNb7P/GO1G6bl8dtm/bLQXA2MWols15WOaA9KajM/OICKX8iVUlC862HJyaI3RXg4MRL/m+C0mIriWK6MkSiZQidjwpAUISBoJhJlF9mDm0iO5FJYe+8X/9OgDglOsjfpVCeQ1GQ9x+5ysAAGtf+QqS7W31QKoi6wyHeJxC0BzHMUV8kiQx4YMHTVJKQrQz1AkFPwpDSwYJs58DId8ZAF8jKUcj2N8pG0tGj8L5Iq9ZqEL9/SZEW1XywlghjV2o8Nx96mKSAZz0WJmiO1J8c+rQIgae2vv+1446fc5nWKTvNQwY4oHqUOY7mGlQWP2K2ou98IXPI6Ow1fOrq3jwW79TtXvy9eDPPAcAeO7f/nvc9k//UaFXwYmTeOwXFeLrvu/7PqCp1jH3nrvRftUDAIAb/+R/A6DsPZ+gjcDq5cuICBEY1Ou4/Y7bAQBXr16cOAJTRNeUpjSlKU1pSlOa0pSmNKUpTWlKU5rSlL4p6GWH6GIMcF0XQVCDT/GbWSZMKeUwDJGQJz7PZ5Jb/13XBbfKy+okv9r477qu+YNzbs6rNEi5mTX3/VQhs+zfN4OauBkkk90uISWQ4RChI3YygQTKStvPGFrkbX4Xeau3ogwJISG8jGFzntoQEnVqLSVvhAMHMlTjcHGji7ZOEJdm2CIU1+lGE4yQAhuEPtiQAkd3VDLDZc/FFr3bnyURfsQnpBclgc4CBzVdkh0cgIWUeEll0Xcnxhg8z4Pn+8YD2etsG0u863nwCCGQkBdVobn24+Gp+m0d2jUHAas+b+d5sh2Q2nMgJiWj1s2WbdtVHiTPPGuJ4ri3ogSCPEg9+JilfFvfQ56ia70UUlJC55ThyoyOiefGHwXy9vqei7CvLPL9zhA1Qs+FSYqLhLxZyRIcue+VAICnPvghAMC3/PT7cNu73wUAuC2K0Hv2eQDAl6+t4tXXVYLMS2T1D9IMvkHbuAAVXqjXG6gFNex0dsbH5sDIyhkBBiGssRVanlQkT61oZ/IpVrrVkjdjbU9AFb7oHBS6eQuuNpFIrjCBJcoZsRVzCPJsD6SLWcpB8t5j6v8bgxQC2tvI0SfZ5EgJjatKSNY4jgNGOd4GO0OkXCcVZ+gPlBxqzTRxiq6/TPkZ14XAfVtKNh174JXwR4pvPrt2HffRtSHJNsd1wU3ukJyXhBBoNlU+i073YMtka2JQCFM7f2AQKE9lHI0QNNTzHUfLrh0Ijeic9G3M4dLaVEj+u9t3Lcu2m0WJltuwD02E/dD/eq0TWCbkwUaYQFBy9z6vYYZk0zuaihe2hwKeQx5rCASHlfcxcLlJrhzT+NVcB2lffcv2oSOoLypkVlsKuAOS/zvbONVS3sdLT6tcXPzQITxAiYBFs45gQfXtS1//Ou4lJGtE3vg1h8NNtByoQReVaDabOHn8GC5feH7CGBwAMcD4N/e1rhYWmQnHdyOJ6pLn+nQFmgvAWD63Sd2yn7MrVfUh5yWdC2Q7TiEcQvHBwxzx0ncF6huudzPo8asJB90Z0lmERKBz39GKNzczi2ZjFgCwKfpYoBwjTr2Bs6cU6uHRz38Om7/5YfXsgZJHr/3v/jKwvqnaPXkamFPor8c+/Nu4+7zyWruElI97AzOGd955L554QuWz5JzjWSrXfisoTRPcWFtTqZTomBAS/W6X/pKo0/w8efIUAKDXHyIcqfV9YXEJ3Z56r2K+nipUDIrq9J5krXuyag282bw4pW5NvJ2qmyDDoUDx1macmrWu7zaM3vRdJJvWeyk0PwVwIBbVmHkMWBHqvpEgfmvP4ticQlEkC8tYPqJQyMfOnsNr//d/DgAY/vKv4Euf/GMAwPUdhbCZffB1+IWf/kkAwKWHv4I5Krby1c7ncI7QXyGhW0SrYfLKPX/+Kp55TvHQt775zfjCQ1+CewuTiCsdVq9BPJcbdsEes3fjxWNVv20qoNxfJDJ1zxeo+nuv9azcF6276wJX0uhNm4k0SfcHkhvZ9N4z6nut7SSQpGvyjCOZV/zoO0xr9AgJrXW0XkOTcpBifgX9kUIY8yTE6bqSWRvXVtGiiJ1rpJef+dmfwilaz56+eAEjkkfXRYZ7aI3NSO9K5mYR6MgXS29ijN9a1DJTa04YqWc7jmvyWDM4Jp8pSEeXAEJTCG1fE926xL6mosDUzSShP/Ah0c/O5dIS7de2EmbWua7wMEtRN3+BQh76IwHa8mO1F2G+Tfm1PQctQgK6c0o3uvtVr8HMISWL/HOvAO65O+8C7RlbOzu4+k+VjDr2/vepc/fejfs0su/EceCLfw4AOHTbbcB/+lX1+0f/IgDguV//TXQop+PJE6dw/sJ5AECSpHjs0a/tORIvO0MXpEoolyQZZubUh6o3Guhs76jTliFAbwKSOEEYjui8LNkNitDELMuMIUxY4WxZlkIzjpSiImzwJpXGqsp5ewpde1NhQ3XVO5xqt/D+cypB3Go/wq9cVZP3h4/UMEMMzkaKe0cMqDWU+IuRISHYpS8kIurTiARTP0wgOmr8Vjzf1PHzkgybJMiucY4GvVObxm+QZSYJ9HPhCJza/f7GHGLajM3TIp5mAo69QZPaIGMbbiqG5yWTRJYJiDBEQIoZpMgTiINhRAlUUxNaWaI9WaBK2MkJi7PdWAXseRLs2jxb7LGxyJDD6if1k8IHZ5r4y7cpfro+SvEfLijF6SeOB2jo8B76ZiOPwWupdl2WwYl1eGuGhBaZF4RSaGupRItCaBdn2hgSDw3CFIeaSgl77XvfgyMEp/V+hgTjwiJAcFu84g60z18AALx+ewhQYsk5ighajoao06J/+52vwIXzSmGbXVjEtSuXIFAFST54mpxH11bobC1+F7h8edEshEFWQPernvdSjVuFtvZDFKLRbuJ9Z1WY1+ogwQdWFS/86FEXLUp0qXkm9BhqxEshMsQ6VDoFUhqrkHgqjjPMkJGp6TlgWvYnAjG9awaOFlU5myPnR5oJJLpSoe9he0NtLB+sNZGCjEr0BoHrwQ0UX4LZS6ZEjzZrt4KkVOvRsN9Do0kb2yg0sP/2zCxiUuYSWse4FU5qJ65XvFLmgZJBi439QLUhq0IG3TRVGNj21Z7ihZPtFn7qdiWbrgwT/MZltcH+oWO+CfWhYp1wmh5mFyiZvwuskdJe5wHSTF3UIcPTSPp47ev/v+z9d6Ak21Xfj352xc7dJ8+ZnG7OQdKVriIKZCQwBiSUSAZs87CNwwMM+BnwwxhjQGBAGBBBMiCEkESQkFDO6eZ879yZO+Hkczp3V9y/P/aq6j5nzty5kmbsJ71ef8zpqa6u2lW1au211/qu77oTgPrcNM3HTdBp68wyzaGUjRzYRySfp6RE0Zubw5JGGee6XUrSHfn26TkCCaq7WXfeRONJQspyPdLQGC1l2Tz04IMMh19GN7pnIso673HnjWx2JXGGZ75Qu5Afs+N57jzcTlu1a3Lmy9CxbWq7MwmZidGlw/UK33fcNEE5043449Mm4PQ9Bzzq0mBFhdLkwk9z2+SR4AXGSgRBTCS6NJT3rugWmBK7UfUD9u03DQw2z56je8yU/Fx56+3QN8//+MteaoZ16DDcZ0rNwne9i1jK/W687XbI9pEEbPmL97DyxJMAPPzQQ2RlTkkc57bw8ohCWRZpmoydZ3z+UnkzqFH3ck2rbe7t97761bxbukmePTtGmq8uME9dsPPelzIXXSIH8ryhZBtEn6pF3nCl+OG9iD85bezNd+11mBZ9Qu5N4Cq8cmavYkIJOHUGEUPhYAkkGL/v6BVc/fJvBuDgc58LYmMQewZQ+v438uLvf+P24Q0G8FHT6cw5dgUFKXl83oc/ztZmEwBPEjZpGOBK/WQwHPLj//r/DUC96vEDP/iDl63kTHgdGL+5I01Q7NrE56J2YTyIPk48P1ZONr62ULv87sue357O37rYmo/8PThSK/MD15gS1FPNIX90yvgbrz7oU5UAmLIlWVPSOKJLbhrTFZvlphah+AfZfBdZFRqz5rj1G67j5D33AXCgskBxysxpVr1BsmTKknt7TSBj4crjPPb2dwLQKhZJ5PKuKVUJJQjrV4wuzc9Og3QMjdMzjBIso2TBpRalFK7jEMWJAa2QAVaEmkCpMWL58U6cX/GJLxCMH58fdwncbpMvQ+8ueKzxQwiFUbXMD12/D4C1fszvPWn8ldcd8Yjl3DP+qGFcFpTvJT7Zqr81iHCkS+y9n/wYAF//A/8cbnnW+edfXgMhng/ufYBwYMAIeb3/VAOEMoJ9C/AiQ0Xjn1kC/S4A9Ec/Ya4gjqlKLObU6TPMzpsGcctLZ+l0u09/j5iULk5kIhOZyEQmMpGJTGQiE5nIRCYykYlM5GtEvuoQXRoTwBwOemxIgFAplQcv4yjOM0hDIcKrT0/nZSiWbTOQ7Z7n5uTu9ZopRegPhijJWkRRTJIE+TmyiKtt26OSxt0ittu27xx99nE8/Pt0cMmdKK5dEF2C4NF4FNZNdPOvVrb4uatMO89yxcMVdEu7Za7n4FSJvpTilYYx84E571JJkcj1zwjAarNkE7XkrCUfSzJMOkzyVsaJY+flRkelbe2Jfo+OZE9KtSpByxxkPRqS0QNuCAKhoW1+QAgB//M28snLlEEScV2PxX0HGA4HrC2fM9s8j0gya3EUCbnhmFy0JIixx7gLDD4/xtOlEnYcbBzxlWXVthEdPtMMgM32e5v9bjzbn6FCfFzRp/99bo1fuMFkAyoVD0/0abBl9OnIbIluxqTaGbK3b3RktWyRZM9YSnvWXShLc4j12Tora+ZFnnYLzBy/EoCD3/T1IO9kzpq92QLZl1KRpc1NABZti36GBmwZZEdUKvNTsTnvb3d7FAXduXz2NLaldu09cUlFMoh67N9tMt5Ge5ffXVD02IdtF/F0JRq7oXIugaid/xmzTfl1iH3QLs6msbvvWG7zn66V7F/JzW1Tf9PY6IOzJTpSSmh1A47I67dRsuiJ7k9JZnKjZKO7Zgdd9lEZsgmXI0eOArDUaZEI6e5BQfuc2mrSEv2q9Hr05Tn4cZxnP2ek1Ki7ucl3CTzovyubrNQsicdKLS6LaEEga4Igm4csQimBsyyL+pQpM8iAySv9AflsaNkjHRlH/W17bhfKLO4yz+RyofnqQvfi6Y7F7vZU7xhDrk9Zu2+PZNMgGd6z0uUnrzaol0LJxRJ9ijaMvs3MFNlqm32tTsBMy9y/1UgTiT7V5eibdsSe228DoKpDYkFepTNz3HDgEADDYMDypz8LwP5jRsdUvU6haGyMGwzpCpn4gU4HV8YeZH6Fpfhe8R/+u07y+bvbblHOUBqXRfQ2tK++IJHtl5JZ3u3574SNXWj/nadSu+vCJZGxxhk58bwgPmMbvWVQVe88s8XP3miyxaWyiyWlPv01o0uH5it0++ZdTFsDrlJGPwY1nye65hgFy7xzqxtLXHuFKeO4+ZteTkXKXWdn5tk/bxBk3HAdBUHTND9ldKq2vIoVm/OGN95AZcbYSk6chNtvNZ8fehiA+B3v4vVDo9u/XqszEKT0cDjgjueabPo73/n2L+N+PROR2W0MmZ4BspRt4cu7c+bsuXxvV1AWb/79P2Auawuv8n/4ku3pTrT/efr2ZR73PL3f+U6M+U05XiDzw33iTaMLf32uyU9db/zwUtkF0ado3Xx/cL5Mt2/mPd0eciQ1utmuFOjIOWty6nNLJzn4HNNgYO3RR5h76deZLw4f3v0SnhKk3MlT0DD2ce+dd8IHP2i2792Tk0XXbzB6uvHFu/hBKWP7SRS22KznPefZPHnixIjI+1LLLs9tG7brvAY7OxCoF6MB2c0/GvfBL2h3dluHPBN/6um+3/nd+Py4HRYUJ4pwzfjg7zi9yX+6WWxTyUOAXPRXzfPaN18yzdYA1RlyOBZi+ooikEZaFbnOlbjPs68xqNJ+v8PRqw2h9/SR4+iu+GF3PIcVsTPtu+4B4O/e9D9ZqBo7FochAymPndkzT3XBoBjju+8C4O404nULBh32piddIkFN69SCy1RRYds2lVqdfq9LIGh39KiRmGXbEO+kmdB5BY9S47QjqaDPGM0ZF5Jn2lgMOL+J1NPZmvNOdP7xtne7ko3W2Hmy33g4TTOP/dnJLX7rzoMA+CUPV5r5DNbN96rh0RcffE+UYgk9SL/qsCG+91Epn/+Vf/9j/Nv3f9qc4vOfJq/GuuHmfIiH3vBaaDYBuPvNv2++fuHzsYtjTZ4yO/b2vwbxvdWdZg7b/OX/xqvqZp78A8eiXDbrx411j0bd6OOKvAe7yQTRNZGJTGQiE5nIRCYykYlMZCITmchEJjKRrwn5qkN0AWi04QeQulvX93GE9My2LPpCLJeRiw/7AxwhFI+jKG8lGsdRjv5qtQ3ayHVcwnBnxBV0muaBU0NguyM7rr+UiL+6QKLpS0FeaLIs5bVVk4/+f02X+M+CwOk7PhtyGbMx2EL4ObdgMsZqEGMHZockTSkIV1ZBK+qxGUPGDbAWx5TrJvKq2kMsIY0fhhGeZOhKcQquOUbLNr9vpQlHJUrb7HbxJa66miZEgsDpazOua/wStozhnsNXcNPJR0b36jKS0cdxzMb6Kr1uJ9eFKIxQVobIGUOXfSnDUONZmovIBRFsu2WsOP9+7IQnbeNuutC4zhsEmT5dJxnmH58p8nMr5r0IvBLSEZtGmOIIr1ZjUfSpG2FLpD8BXNnXTaAiww2E2FKplMQ22Z2Z6jQLwgnQbfaZu16IDKenWf3YpwCYnTMZ0ZZtM/WDrzPfL6+zeMZkiqOrTtJ+wnDphCWjp4VhwNnE2IcveD5HZLzlShXX82g2Ny9wH75S2f4OK8V5PIDmiyxDNGYLLqbrSuXcDaTn2yjz0dp9+0X5/74Uucjvxr6+pmx4735ktsD/d8UgD4auz7q868disMQ2Te8zmRndDvKEX6Q1BUHo+ClUdGabzPdpGNGpGtu+txsyFFJNr1CknemoW6AvDTI2hEelGQbcutcgFM/2uthnDRfFlu1QEpRUZseGUURJUMCfPX6YZz9m+N5s1yKJLlOGG5NdtB0bUNIAw6BNHbG/tXo9J1PvdQ2S0fP9PAufJlGe4d2OmrgQime3SWm3OSndZVt23IshhHaxadlvtmXox/XYJsvJXSOIpzfMl/kfq0Kk7Hn0ZP6vx+CIPpUWTcZRt8N8VMMgoiRJ2l6cUpff9YXPpE/K3/zNOwD4njf+CFcLX5c6chQyDsdHH8P1DWr5rodNxvtZL34hCwsm2/7UH/wxDUfIqLXOLy9DIzYW5nGEd+4By+LacyYT2W53qNYzbNmllnFUXA67yXUlyRt3fBnHHT/mzs/bsszj311AT/Kvv0LbdB7adOy8YkOOC6/jjyxW+ZVl4zcFXpE1sS1XxmALKmDukEHEpM0g19MIcu6uYJAyK7/rZ7YpiXjwMcO19bJ/8xNwpUErzwGcOgtA64Mfor26AsC8ICw4sB8Om4x2BeAL9wOw9MhjtD/0YQCq82ZO3Puqb6Py1rcB8MCBfSzeZebEQtGn2718/IGO4zAzM0en3UEL6sH3fWzxmzrdbo7+iYWzrFopMxBOliRO2NiQOXibiflSkDVj8uUCt3atyLjYXLnTzpnPV1aMvfm++RL/Q9AFQ69AYJv5qRGDJfo0dbABQNIc5lyCSmt8QfK5ic71yZU5/1QY8om/NM/6zv/4C+BdhBhebBsvvHO07YFH2HqvQXSVV9ep3X6L2X610U1naZnh2hoAqzPTNM4YHfr4pz9HoVimM8YHdlllm0/MLvZgB8/TbiDUZ6ILz7hw5GIo569ExgcqfpGgg394X53/dto8g4FdYEWQN1cloIZGl+aPGNsUbA6IpfrBAoryOUw1ZVnTRdncl0Z8+u//GoCrZ/ahnm2QorO1KZq9ZQBWT5zg1P3G9kwfMeifapRwuGbO99hjj5E+YhCBw5tvYp+gwsrCtZT++V/QFY7L+44e55pHDA+Y5dh4jvHTe4NLa6PSVBOGMWEY540Toigc2ewoygtiPOF8CoIhxVJRvo9JxddSSo1xcV/KCqML+eUX850utM/YnJfvPlofXC0IvDceqPHrS8Yu9b0Ca8KJe3PZyrmyFq8w6OG1pRa+ELBtRTEN8cEVNmVZu/hSaXHk6FGCTxsuLf+OMVsDIFymlAvQNff70K03AWC/9EXb9/2LvzI/WVnBWTBo3674V7P79lKT5/XFacWVD4ouKUVLKsWeTr7qAl1KKROo0jrvLhUGAUFqFjKO65KK05bpaBgGxLItTbUsHkxQa5iXIBoDY1lWTvRpjOsYLDk3oGOO/k7o/U7ZjWh3J0z3YmTrmYNqeZCK4ujR2P7NHqPIdtHhR6VrS9gbUi+a79eSmP1DMYCOuTbHtdFynQNbMd0zn1tFj1RI6KZkTmsqxWzJKNlgoKFovl8NI2ayjoSew1ACHRnk0UHx+ZNPArCQaBy5znMq5UjDLFgObxpDd0QrWjIxK8fh0k8mu4vWmiSKUGMLErhAcOKiB2NMR3ZCrXeTcad8x+y8bd1wAcW44PanGbvWoyDLNqZ0K4ec/sQ+M5HZJYcfmzMTbtIbUPbMGNeSiIrwJSsve2YKJeSpLQsODGQBXnKISmaf6b75fc+ycITMPuq2WR1KcHa1xUAWqTOL85QyUsyjhjx16vabRtdx+gzceiMAQWuL7mMmMFrviYOpLBbk/WiNNZLo9Xo4wXDUme6Sy/ZFu0blsGi9G9R+/DfbPo4ZiZ1dN+XIuyrXBReIX0oA/Ut598Y6zeSHGC0E/vmiWbj7ZZcfkuYhyTCg6plrWksiDkosRssKUblW3uW1b0G1K00xij5JbptkEtYJjngutgte3Sw24m6IGxq9W9cRidg6VxocNGp11q44DEBw/8P4c0KUHwZ4kihZlIXaQcell5WXRVH+PMyUcnntlKUsbMfZZo8SCW51O51ctxKxvbZt5SMqFIoMhxlMf3zhkP29UFD0Qp+fblsmT7e6ULvqp9oW8Mpsop2XDegxffrhfUafrILFD8wa26T7AVXHnHcrSShKGb6WxiulikfaN/Nm07E4LA5eXLY4OG/mzg0pq90c9DkmAYliocD6F00Xu7limf7nzefQttn/+tcA8OSv/DoA661W3rnK3txkWBAn+tBegmUTyNgvi9j62gZa5s2W64Jl3gvHhdWlpfNL5S+5jGxUkle/j5WuZ51hzU7bf3OePJMFwMVKMcb9n11s3jMiVX86PR3/ziHT+39+0MwvparHGyWRlwwDxEyxlcYsZslA0R/bt4il++bQgrhpJsLELaCknKIhXTs7tsXx46a0lekplv/ElGycefQUJVlEXHvHs+D7Xmv2keNSzrpBQu+t76B83Mx/i3fewblfNfq2IE7/6Q9+mJqUpVkH9rNPgkeuC+eWlp/mfn1lEscR62ur2LaTB0sr5Qq9nvHnPNdlkHWtlSYMwzDKO1eDyukhnpk8Qzu7czc9/sXFIh8X+T5vRKLG9HNUuvgvDhl9sgsWPzxn/Fs9DPAt8z41U1gQ2xSP6VMk+tJVUJK5rl9x2PLNxZRl37lKiT0S4Dz1R2/BloTM/u/8ru3jfPBR8/faK8+/hrPnmPqubzefm5vwxbvN570msFpvd81ECnT3L/Ds/SYZ9OSTT7CwME2rtfH09+hSyTZqj12endbkndnH5hSl7O1+1uibXbZ9uQn0iwUnvhQZ/72d//9HDxtdqlRcvl/sSjwMmclsUxKzILYpEv1wCzZhx/gsfQVux2z3Sg6x+E21rATNMsFwgML8DJU9JkmztbnOXrFZn/uLPyOsmGSAK2sGa9Bn9utuBmB5eQX7ZuOTDw/sx99rjoEEfA9dfTWRlHMvz06RPmJ8dJWGDC5TCaxSYNsKx3GYmmoAsLq6xrQ0jVlbW8/9jcwWlUrlXIcspfKGC8+oM+SuJbN6bP23+9w1WhNAFpRSYkfGG+o9I7u1rblYtq4ZlS7+O2naU6/7/Dvxd4LegIM187uHul0qW0YvDlbM3OMWXQJpQBfaCq9tnteg7JDI/GSJ/m01m/jHju0+tsLY2BbMPDX1vOedv99TSyAJkeFVV9CQdWBDyq+rhw4xOGBs1InHHqMjFDUojX4Ga7lJ6eJEJjKRiUxkIhOZyEQmMpGJTGQiE5nIRL4m5LIhupRSfwB8C7Cqtb5+l++/F/gPmJBlB/hRrfU9Fz2wIHDiOMrbGnuFImFsIoA6isii4o4jRMhJkmfEfd/Ls/vpeeWGEEQRWfzPthRJFtVVY2AKNU70tg0GNH6FY/vuyKRrdkRsRx9HuJ6xLKdTke8VtrRwfe2Uxctk/LFks4t1jyNyCrenWJbPXQApwwksyXZbkAiqZu8wpSdlh+4gAcuoxUDGcEWpQF/GPrWnxumOifRWfY++QLFVauXIisQTtM5Q55BHx3bwJIrtxAnDpsn8WZLte4qUgkSj98QJf3iDgdJ+33138eVnXi4ujuMwPTuLbTucPX0KMBH1DPWXpulYhmj8WZ+/afvnC2WYdyvxGEfvjH+d6d4FskbbUDS7oYXG0TkZ8sYCS6LsykbZJjr//YfKvETLcxMsfbHqcExKEVQHVuVILRSJgMLsTJ+UxUB0rNxJGYhuOf04L2doZUThls1JicJXe5sgmV27WiSVfYcJzC4Ywt7e6ZPmuLffhP7L9wDQPfUUVSmx7N91L8VVk8nWUl7U6vfZI9BlK0n47ZLJJnx/sEQUxRfI+l0K0Rhi/1GZ0Db9edqS1ouVeDFC46HZRmg/njnaqS9f0rVaO8bxdKgxC1yxTZaFJWN47X6fO2VoqahaqepyRUb4GYSsyXGbWhOL3tgq0w+LoVzOnljRF3tCP8YVe9GWa1ooOLSykmPfwRbEq9YxIQalEQUhQ7HjU5J1vO6lX0d4l4E/b62tURI06VqaclN3O6nlWq1MScoFS2HI/7jeIAn/9f13XxyN+xWI1mbu8gs+USQk7EmMK2ggpSwSKc/Nmq1odD6kfpLkmUPLdvN5b+wMY5+fLnO4A216wSz2xbKPesfXYjv06F3JUROWh+WYjPNr9vs8W/ZJLWM3yrUCV9iyrZvSkt9tpglD0SdXjh9GMX3JFlYGCdOCTrZTCCRTKUALFup1yoLu69oJn3jAlG686sgR7v+UKaU+9MIX8qFffxMAL/nB7wfg8+/4Swo98wwKN91A8klDLN6baWCdNFlJVTUoDytJiKclu9lu879vNu7R6+69C9u+XLlHLQi5MVvxdK3JL3asC0NnRJ4psvQC/x8f2wXbpz+dLXXGbJONJaWkrz3g8JzMbxJUaaXicL3cd70WsyTHa6HpiS7VxNa6lkUk2ypdTSi2Ke1FuPK7rBhnzrc58fCDAHzov/wsL/qWVwJQsl3wpOnAt33LaMgZkmu9DbMm817+3n8ydk03c9vzDDlv+jtvBqB94gSeoAdVHPMmKe390dY6tWp59/t2iURrTRzHWBk6sdViGJh3QCkrR3rFGWwwSS9sL3f6WJccKPuV6GwmmdPjYRfMvf2evRa3y/ZYkFv1SpkpQbr3e3025PvNNKUih3BFn2wUPXkdD6Y2qXAzh+0AX9AVscx5NZXyoXeZsuqrrr4av9oAYF/BR4lu8eAjMJBSDKmsQJA7ALziJduuqPcbRo/KM4ICO34kvw2VqQZvkrKnt9x8HZ//wuexLluzCHbc/nGk53ipfLbGsnZ9XJZ1vtkYR3zYtpX7Y8YlGEfkZHbxQgPczQ5dbM7cZZuywJIH7RZRstZ4/T6bW4VuR8kjK1dcrspoVNZjtuTzVqLpOuZ4U9n1KStvrjIfK1Lf6GDSi/DlHD2x/ZWCSygVGk+uPon6B+Pdl/06pxsGNXiuP+SwzIVBwYz3xuc+j6X3vBeAxtwsq1vG757ev5f73/8hAG4+fMiM58w5NoSw/Mxjj/OmF74IgB/7yPu/zHnnGYiGNEnwfW9U0qYU6+sGiWjbNjpDLIsvPRwOcpqjQqGA65ub3+2Ml1XuttDb3Z8BgygDSOU9NwT3o2PkYxjzmXSm2+e9B5y37/ayXdlmF/CmTHzgu+c1N2WoMdd8P1v3qIl+tIcDuoIwXx5EXCVzz5pUxNgoujL2mVATFsz1WMOUSHz6zaJB+11vB5z67V8G4NArXw0So+DQ0dEYg4j+3/4tAKWv/wbOk4OLIE1XGp5L88+MnWtIOSwzM6w8+BAArufytmcbVNjrvvAp4nSnX3u+XM7SxbcAvwn88QW+fxJ4kdZ6Syn1jcCbgedc7KCWbVEsl+h1uvm2YDDi4EKPOihkjr1fKJLEUf59phd+oUAoEDlLFN0oZsZdtbO0I+tglf2fHdDFHduy7fl7Mb5g0LKrQssizC/4Y+WW2csIJCaY9H1X7aMukPc3L3V48YIxPnbN/I1XuoQ1mWALioLYvwUUfYFBN4QnKbZTQrknsWchzSWpBjEbU3JqCYhstAaUp41Sb2qFVASZ4FdRJmMUp7cMnHAg993RsCcrR1SKTSlFiXSaBz2aYqzviwYckEVoEsZcI+VD3714kD9fPjV23y+txHHE+soSoCiWjVEuFAr5M2w3t3YvJVHnfXgGA3w6xyrTnV0CXucdZueCczdYt3yfrwXGdFkMw/ddvZeaXNrvnulw5wHpGlaTevWVPlFdFtglC0tKE/dYiqZMxIuiT6lvkcpxE9cilu5CxShhy5UAp3DjdVtD7LqUwuoEV4xvCYetnpmcvviB93P6HrPI7PhGD1/x3OegvvNbAaj+3h/zqT833aSmFucJ5gw0+ZhwLT027LMit8GxbG4U7q7vaSzyvzfPnn9PL5lkwawLPJtcdgl+6Z37P02AQY/DdXdApXc6EdtUVF1AZfXODU8z/jF+scg41W+8en9ejvOHS23uWDT32xPbFKz2iGrmd7qoSEWX5hWsiOk+IjqjCpBkzptnoYUzsRwmtMQ5cwQS3d4aoKpGr0LLwhIbnaJJBsYepVoxJd3PtjaMw9P7wl3cvGjKMuYdhw2xNyWlOSW26ZCU/W3dfAPusnEEDw0CnlMy53vN3iO87exju9yfSyha0+10c8epMT1ryusxTptSUqouHY2iICCRoM74AsF0iJRAYx5gYrsufMWryy/VQO8SqBC9fs3xWSqJuc63PLXF7YeMbfZFn4YrXXRdAn4lm0RI2+aVYlP0Kevyajl2nuhKXIuzQ3OO+hB6DbNvFvw6e3YLXxaWZ+76LNdeb3iTen4RVTP2ceGFd7Lwvd9jfigd+G5/7WtZfZuxR+dOP0X/SgPl96OQzqycRBbHJ/fMkm5sAXCwVud6SQr80JEr+O3H7ie9bEF4WRxerDNZ3pVwvKvoRYLf58ku+6vsmM/gGM+ki9V4AjGzoXkZh4LYvNOvv2Yf5dS8P39wusOzDxsdKteNTzNY7RHVzfdu2cKXwMy01qxIEnFKdEm5KuecshyFlmSqH8YMp80YPLJEocdzX2wCC96+w5zcbAJw9KprOf2B9wFQ+tAUzrU3mCEvyAJBglwAdCNoG13h3Fke+qM/AWC+a67tZJrwuMx5X+f73CHz3GsaV/GxpH2Re3gpRBNKCZD5OwpIjC3r5K8a+7gjyPpMAyi7xauyY287187N44vEL8Fn29Ztzez76itmaUjg/Q9Ptbj9sHmvS1Vji/urPRLxm/yKQ0H0aVbDqhxuOtMn38rnOqvo0hKunHQYM5TSIlsCmUmomZL57b4HHuS50oFx6fRp1B/+LwAWv+c1IAvQZyLll73QfDhpusSe3trkgJSj8fcf4PbvMgG0v/3HTxCGw8tom9jF/xHZphuZbRp1qx2XNE1G636ZJ1OlKAof33iyx3QyHrdHu/nVY3PUrnQTu4z3gjo61ola7ODrjtUoiw/+ljMdbjtinvm4LmU+uF918IRkawo4J0nmmvhSrm+RiA9uFxy06F0pjBl62dxvxhC1hkxVjF4NdYqSNeb6xgZdSQpUGnW2+mb7s15udK391GkO3nEHAI8+8ACbUip9zaGDNLM1udjEtefdnq87am95K7dumBL+V80f4q9XTu52g75iSdKUXn/A9FSDgVAJKJ3iSqm349iEobkXWelioVDIfaowGNEcbTdR43NYtmlnomj00LM5Yrt+je0pdkXv9OPPO5a+wPfnJ7a/9+o5KrLG+stNzUtmxe5MG/u0eaaNs8e8B4XZEqno0iHf44T42NfL3FUpuHk3WLvgoGTfeqSJhYqmLJ0Rpw9fASWjt489dD9XvOSlo7E9ZNZwTM9T+o5X8bTyPd8OwInfeQu95xkda/zQG80YTpzimHQA7X34I8wJP/MbrriB33/oi09/XC5joEtr/VGl1OGn+f6TY//9NLD/co1lIhOZyEQmMpGJTGQiE5nIRCYykYlMZCJf+/L/K2T0PwD8/YW+VEr9M+CfyWfiKMIvFCUiD6iEOIvUa51H7x2Ba0bhKMutyWCEWacqyazIX8e2805W5w9kl252u5aXjWdH1fbN2W9ysurRv1EU5WTJrpTKJIni1rkGALftrdFdNwiKY3WXv5KMxmuFYNCqlwgEPRMzoDzI0DY2BclYF4VAbmibbhwAiYKhIKuKiUUk0ds5gfOHvkciGajNbg9LMuKzrstA4NErQZh3kpJEAxbQkXu133Yp+ybb+ECnhRYE3RdiiaoDZ5eX5PeKa68xCIzWiSe51FRyO/XJdjxcz6UjUNdyuYItCMHFfQc5/eTj2Q/Hj7LbkZ/B2S8Gf75QpmgXPbrQz7clpnborOVy+7xBP92+v05v1ejTkaLDuwVR871Cjuo0SrTEQgR6QCEY6VNDuul5kgkIHTIsONqCQBJvhRgS0aeZrDOa79KSdymNExYbpkSx7BZIpdvM2TNLlK8zmcXZo0cAGH7xXp56368AcOXe/XjyvM65Fo58/rigLmoFly3pEFRJEhryrqx7LttJ+L8yGdel0Uab/ATpeHpPj7KQ+TMcgz9vQ1CMI692yTBazog0WjNCAu5WjvS0YIxdstzbEt67ZJHykkmXW+cbANy0WKG/aTJoR2aK/K2gVL4706V6KS93HUYDqgKbjj2bKSFb9UKxRza5LkUoAimr9hKd69J01lHKc+jJGN04gcB876LQoq/dYUTnXtP9jH17AZip1Vi++24AGocPURBkb6dQIJWs2N1VgyKqttsUJavemW5QlXLsoFLCF5TOYHhp0BPn6ZNp20ks6Ns0TfKseqFYyBFqjqCQUtthvLwjI643zzSbbcbQo9tQMePohV1HN/b3y32BdstKZttsbhF9eta+Bq0to0/HZqu8X9DV3yFzndMo0ZefR0lASean2LVoVARNGGb2aKx82IKuTFCDMGGra7KW19UNimZPtczy3YZ0vnL4OMeeZZBZD3z4w3lW88m/eAdH/onJPpKVaVx5jPmXGfTO2v94E72ByW4v3HQjnDPzWviiF5ixnzxFLIicJT2kIhn5VWVRq0/Tbq8/ozt5MdnVNm3fYcx/0fk7t802jXZ+BmfcDTEztl05bCu9BrZ1V7tg9+GnO1e2b2abMn13uGXeQNNv3deg1TT3+/B8gXcI8OCNrnnn/UYpLx8L04CSvD6BbXFUEIS+2BJljd4ZZUEkZshNlKAmYapg/M9Kpcr+680cZrsuszcZOgaqNQ7cdLv5fMXVIyTXbtLcAvHNmJvjmm9/lfkspcrtn/wZioJM2LjuGnjiSQC65RJrT5y68HG/DLmwPo3PT6Pn97QWYgcSoiQ+e1+62154EBc53jMChl0I0Tguu9kmo0/P2ldnQ/zww/UCHxB016u6Rp8KUyX6Mh9HaUAhQ5baiqPS6SDTJ0uN/OWYFM8370c9dRjINV0ra4KmivGE3qM6O88TDxu/dKqxh8Ov+CZzkIv1UFrfov2+9wNQe94dRFKa2D5k0M0HXvJ84mXTxMB50fPy8sdBuUDzXEjy5TRp2kXO06XctRm7709LD7MTYSVfa43netu2VatV+oLuieM4X/9tO/aFGl6M00NsU5ud5x4bz3nDGqEcjVjcJk2enrOvxoro0qG5Eu8cmn1f3zHvdHW6TE9OPEgCitk0ZimON8wxitJcxbI0dtZdUKdEYjfcRKHFNhXlOt2CSyqVKsVihYEgXq+8+jhV+azXmhz6JlNmVlwwhObVV72S5R/4EXOOcikvtzv1xBN4PWNYTx4+YL6/70GmG3UApr/5G5h6j1nib8YJSvwVLl51dlHZqUsKzXrW0RVAjxpi9AfDHWWDMDU1nZc5JknM+RUzcpCxP6PP40ivbJ+xEu0LrF31bvGB/Es98ud3RRoCWmCAqsCt2Ty3WGNTqBj2T9m8W0rzv3vD2NRavcCUMu+G9mKWZE5cqBY4OGNsTCq/r/kWTblnltasYPTxCtfDEj/Bk7l867GHmL/+OgAWK2XIqD8WGLUg9p9584Gj3/FtbP3ab5r/ZP5rHIJ0pE4OHaJ/4gQAoYKZOVMJtrZ24Uqd/+uBLqXUSzCBrudfaB+t9ZsxpY3Ytn0ZsbMT+f8H2aZP1kSfJvLly7guKaUmujSRr0i265M10aeJfNkysU0TuZQy0aeJXCqZ6NJELpWM65I18Zkmsov8Xw10KaVuBP4X8I1a62fUt9ayLCrVKuura1jSBteyyHm5bNvG9cz2cGiiiHGSogQBMN6m3fcLhIIEyzK+SfJ0GYvdoqzZV5pxAurdf55FcS1sGXuajqK/rl8iFHL3m4Rz6JumqxwpC0HheifPDnWn7Lyu9knJ8hwJEqqxOZalbcqCStqyHWpdQeMIqVwdqMt9anQTtspC3G+TczG1LPmN0kTCk3TArXGuLe2SXZ8n154AYOh6BBnZ+Nhdasi1hY6V3/trqzV6kk3oCXFmgiKUOumz83MkTROR/+Kgx3Y+oksrGo1OY7qdwYjEuddlIJw9aRLvEnXfGWV/uuj7zoL93RBbu0T1zzvn2P47UYQ7kWbbthvduVH06Ttn6xwQRlS92qEg0fk1z8Ly5f7LXHFkGNOwstp+m6roU6BspkWflGQgS6kiydqMhylbJTmHo7AyXjjJMC2lCRUhwVeWlb/HseWipg355dFnPxtHONO0tJL9+Mc+zs1HDMHh+qDPQAideegR5vcapM45eW7BkydJ50ymvNnro4XD6B59aTKSF5NM1xVqZBe2PVL5T0YQDTsQFrtkk3bqiaAiDbIrO94FbM8zaWiwc2zbvldkROHXTTcAeEXV54oZIVVd7+DKrT3bitEVc81LMp4DQUItuw3aoeRkyFObalfQtELga6fgCpFqo5PSLAkZqw2u6FJPbFMXiAX9mqYpWtCmnWGCgMYIFxYozRj9d7ea5ve2xVVHjS49urLEUPRjVmsawnFyVoje060mPfn9YzqhKNxdj3suYTjc5f5dQlHkTVdA5j9p360sm2q9AcBqhoZViqpk6Vut1qiN9ThycDxbuA2MMZa9flqbtTOt+aWgW8dmBxnb9TPmPf6OuQZ7hWNSbfbImGa2qhZV4eNa75nntCfUTAlqsJ3Y+GJDtLYpd8x1ePK9ShWO6FM5TOhWzfaZskUow8nQE+U983jNNXPez69wH9LaPYwIZO591r/6cT73a4aMvi4I6itf+Sp4vuEx6b75f7HUNTZrvtPl4HUm29kWtEpcLFKUFu5xv0fvQcPz9gCaYNjf5qNcOlEj+5K90+Ntucez07tmtPOdLvAdbM9ej+2rduoPO+zcOBJiN7s3fs7xrPb4OM25r5oyuv8tUzWOzwm30XqbhsxzS82Qocx/T8mre9hxKeZDtynIOYqJTbFl7lFJbJOVKoaCdPf7CV2Z52IbtCArOsoceN+dL6Yv5OzdB+7lqXseAaB/bonn/+J/MaebnRpdz1OSkT64b7Rt//zo81+9G77j28znv/hrAEKtoWYI6J9obnHjc54NwOc+80Uq5QKXX3azE7DdLuw2n0BBEP5JmtDv9Xfs+nR6sMs+ajfd1Ds27abf497q+X7T1dPG1r5ytpbbpnStxYwcYsPzsYQvck0aoSwGCV4+NBsva26lbSqZPsmcpVLFYtH8vt7TtMQ2aZschf54T1D3L3gxrhDe97pdrl40aNPD3/JKOCbEz53tjVQyiYU/0KlVqQnBc+u976MuJN3hquFP4tAhHn3E2KP5eo3evYZj5yObTTrdLunTro++AtkZ6xonoN+mSuOIr/HfjzaHYTT6DxBGUd4ox0x5avRt/pw05/tears+bkM/7zwxO3yv8TnWPN+rpw0i5RsbZa6cF17l9TYzck9XNPSkquLUwDzno55DxjqYYOGm2dhtKi2zT0HmudRSTIudqvQ1XbFzlqNyv0kVzffDVOML8jRMItyy8W82HjlF46abzXj/zRsoZHxv82KHLNjz4hcBcO9b/pDWiuEu1Z/8JNdeY+a5spC5t/fu5aF1M5eWO22K84bk/oGltW1v96UUZSk8z2M46Oe8W1qZbQDT01OcPWf4nbLGChsbG8yIT7vU75LZBLWrTdkp42jk8c3jvtRux3iaeJxyxr7X5Lx0yiIL2VwryPdvnCpxcMpcW7rZYVrGsaqLBAPzHpyQ9+FZpQK+6EEYwQzmd27kUtkw+4Ric1aaIeJ2U49hatHMq4XYJpLr6K0a5Oe+b/p2Ti0Zjr+nPvs5XvCsF4yu5babL3ydAA8bZBZXjxHXez5Tb3yd+Txr1oMUClB5ytyGoE9RbuUjH/wIVam8WFu78Gn+rwW6lFIHgb8CXqe1fvSZ/i6OY9bX1rEdJ4cjFosV+n1j4EulEq3mFgCuKHepVGbQN5NFrNO8w0IQhjkZnCWdBi3LGkFbdf7PjtiWZtcF4i7waYUy+GQgK1vSWo+6OaJy0vcgiDgineZ+fL8xhIONAfWBKF/ZoS8Bu1uShDvFsRqIcTxdcziQdTnUmlS8t6JWJEIg5whpb9wKqUqZT1JwaARZZxxNRzowZBNC6rn4RWOkgzjFdZoAzNTKaN9AsVcqJRIp/0iHxrk71Avyzneft2wsIZZba7Vw3mM6MDgSmFCWRVfu+9HuMF8UEMd8+WUyFxetIYoTbNulIB374jjGEycsGA7GurZcqITyQsbMLFIv3uHvmRjUbQe98HnVmPOm4bAEe/7tUfP89OaQypo537mKS0/gp88tObxiKMFHgYuebtgsZJeuNaogDn6q0NJtSsm+UTtgum8+Dx2V65OVpHTLot/yfOfLJRIJmuy3HLZkUXh4/zTrbdPpxItjOgKhDzbN++x85JOcetCYinevrvEnLRMMPd3v8/+R679NJqfU88iKyfZVajjNlrmMMHy6O3tpRKdjwYkLOEWMb8vszVi3xvEF6a4T5LhjPt7l8WJju8AwcrF3dyaV4pAEe378sHlP9FZAac3A1ZcrLl2xTc+fsXiZOGp96VC2UtRMC4o5RaNEf/xUYWfdcSXpELVDvKHYqaJLbWjuj06g1xCCXrGl5ZJDmhOxJ8Ry3Jrr4jvGSTszGFAXu3rkeaZbS3zPA0Trxkm768wSb2k3AdhMYv7drIFCv+hG47jd9p3fQV0Wk//4Yz9B3DCL07XNLdL08gXhQUOagiYvxx8OBgzENlaq1XzK8bIgdDCkJwujqampMUh+sstzv8BCcbyBykVl5447F5k7v88WHDbHJPj+zw6Za9NbAwqrZv/2VIGBzB3P78d8syRXVuRwGwVFQxq2RCiKbha8GZVxJuJsJpshlti2gWezT5JBDRRRTUhqZVzVXodUIPJ+GtN5zHTNKx25gjnRs3f94I/wyp/7KQC6j5ryoft+83fxJXnz8Ucf49fvvduc+9FHePM3fTMA33zoEABPbGxy7LkmIPHwW/8879JHHFAsegThM3yXvyTRxvkeo024oGxrsHOhuWmXYMIFS/AvNE/t/M1u/x//zQ53dcw+7ms0APjXV5n3VG8FFNbMe7BWc2nJYuE5VYuvly5UfdGPVTthWp5/N04oSOBCxeRdXgfynkfrAUWxbbGjKEtgXSeaYcP4DEps09LnP03SMmWotu1yx8ufBUDpp38KnF1c7yzA9dgJkA6d6doG1g2mIUIe5ALOnjkFwK1vfG3eufpzv/YmemKDK65DY6/Rt/vuuzhZ76WXixgQrfF942d2Ot2LzJEXPMgzGMMu++R6s1OfRo0Mjs4ZG/+j0rhAbwV46yZxvlF1GMra4jmFkOe1jb8bSsBhrWDRkOtoRgkLRbPdTcCTZzWU8qlwPcSRuc4v+5TEh3JSxXpViMmlNHLt3ruoHb/SDDG20WvGPzr7wP3sW1g02zebPPGeLwBw7DX/1GzbauNI97wPfPJT/OoHTOniz/yXn+e5r3gZAItDCZDpFJ4wNq116iyrgdl++qnTtDaWRk29LrlkQXjzvJSysOwxv0BfyF6ww7yM/mNbWafiND+WRuMKDUEUBruWMY4nlvR4cEvEsuwRKX++5tvetCBb02ksDkjy9sevNH5TuhXgit/Urrp0JUnzHDfkG7QEMmUs61ZKXT6vhgn7pfmXnyhcub6e2KZ4I8QWXQqLLkXRJSuFREqwPTnWnpJLryRrAuy8w3nX62CJj/yZt76N+vHjACwuGp+o+5fvIZR78eHVdf68Z2avpz79FL8ricOt+wxNxOGrr+I+0bUDs3NUGmZ9WPQ9ti5TwllrTZIkKMvOy2wtS9FumTVEr9cd+QcZ1Y5lsSGNQjyvQByZ9zxNn4kPztjn3ea/C9izXafVbJ6zd3w5amJwdI95Tj982OhwuDXEWzfPq90o0JN55Tn9gO+Qtf45iXE8MOwzS9YELKXsmeM2B4Pcf9QCcgibw5HPVHTprBufs2jZzB80fpvEzPjs+9/HjbebsvzAK4N04iSzSU8nDxr/6hOf+TR3vuE1Zlu5BFce2b5frQh7TaC0Cqx94tMAdNptTp588qKnuWyBLqXU/wZeDMwqpc4APwcmOK21/h3gZ4EZ4H9K1jnWWt9+ucYzkYlMZCITmchEJjKRiUxkIhOZyEQmMpGvbbmcXRdffZHvfxD4wS/1uAqFZdmUy5W8DWh/MKAgUfo4iXFyIncT0QyGgxz9ZVlW/judpjmSKwuqJuPk0Tuhi9uCujujunpUSjTWt912XHSeidT5NcSWGa9d8tESGn3z0Rqpk5VomKhyq+TQFSL5OcfFXjcR9FtqLjOWie5PCSJiK02wJMttl5x8jI0koSfDLR0wmark3rMgkOm+VlQlY9ItWtSExLdbMNfjFG2ivkEG7LvuFkorQoBc8IhPGTih0+6SSilkKiifUyplUaLRH7vqCl4p8Nfp+XlUzUT3e4JO6PX7lLIyx3KBL0rZ6UbvcrfI1qRpSpok2JJF7fdH5SPKskYtYNVYFueCGelMRui9i0NWL5B53JYVH4PYi86iM1JFC7yyfGvlxJO/du0MJUGmtSQ636y4FAXePOM42Cvm/j6v6jKvzL4FyX5tpgmJlGmlZYdUxljUKQMp46ntawAQ3nOGSEofB6miJpfTL9gURb8DaX2+v+azLOMhSag5ZvtDa+dYOGzg+KntMOwY3XDkvepcfQXefQ8B8N831kyqCgPsvV4yEl0h5j106BBh17wrQbHE3wiutTnI8ROXSZRBROXltmOQdzV6ziOglMpJoB3HolAw96KblXLABWDQ46e8GIk4O9RrrCRAbMhIl0BVGuZDEudgszdd1cCTFs1bQuzaqXoUxdY2HAdr1ejSs2oejdSMaY+o7VackAqClLJDIu+SR0pPUKgze41t2rz/LI5kwQcoamKbOgWLUmB+N5BslF+y6AZZWTrYUs7dcxXN1NiQRq1O8yGDBHzqjMmC92zFcSmJ/Y3NTVLJZFkojkgpQSiw/Mc++gm6oktzRw7xB4+Ycu2zrQ24UMbuEokWW5Mhki3bpj5lMmppqvPSxAzV4bgermT1ojimJOW/nfao8cruaJwd6K4vidx5vNQjmwPHSINlrlNeId/3l69q4GclDoIAbldctsb0qd40evbcmosriJyjok8trfN5Rnsq16eSDQNpQjPTMPZ8bXOZgpRsuMomycqOCjaLUhjSlUx5pZDQHBi96CcF0hMmW5g6NhuSAU+2erzv103p4ku/1aC1rrrqGHf/xu8C8CvnzrAmjXKm+gOuEjReKGWmh7aafOD33wJAud7g74Q49/GNVZJ4kGeaL72oXaaaXRBZF0R8jevPzn2eZo7btQz7QjLKXp+HUlU22GPleHLc37h+hmLBPL+N3sg2lcQfqTsO6mwTgDumPeryfiwI0n4jSYnledkVBwHQ4FkpXRnD4ozxV05vLJHKPDdMFWWx3cOiTUnsW1wz71zRTznxlNGfF3/rdzKUqoPgXe/g0ftNJjs8t84Lfu3XzAnFH6NYgj0me23NzrG6ZOzQ/OKojHHfD/6QOdefvZ3TnzcInvrhQ3zynNm3uneOe+697/zbe8nlS0Sjj82FXWkWk+p0eznZebLzuM8UIT+GhlA25yPyFU7dzDletYgjz/Jn5y0KYps2+8Y29WoeBbFNddtGLxl/+IaSS7VikDoVJ/ObUhLxb+KCRZrPdQk9GcO+GWNLTmwuUZNqi6FWeSOEftGmIpUaTaGRVemQwWkz91xx63MZbpoxnPjiZ0hXzXP//Ec+w0u+7/UA3PWrvwHAwtwsgy/cA8DPf+bTPHzyJAAf+ejHuOa22wBwHzXHPfX44wRPGrSgPz/HOx83+252m2itL3rnv2zJfOqxeSdDUxkfXJ+/f/5ZfiB/sjkxq5rxi0WDzgEUmliQt67nEwyHo4NkblGG8ho7VqFQJBBaGaUUjLl3+e/dqmxTZA1ffvXGWUri022KT9ev+RTFX627DulZgzZ6TtGhJOWEc0LtsJUkRILMUb6Vq7CVJPSlNG+vrKVObC5TkjVbqBRFGeOwaOdIr4yCxi1bqL45bzq1j4HsWzu8jydEVwrlaTZEFx6VJ/+SV3w9d73ptwH43a0NIqF3sJSCewySy32WQfc89o6/Zl78j5mrruQ97/1HANa3VvK+J5dalFK4joPjOIRSNp4kCVVZ25XKZVbEr8tpHbTOn3kUxziy/kl1yvk2Q+fT2ezMNGvrm9u+Mwfm/G1jy0DbdnCcURWXEhoXPV4d4JvxOlMVlKDVf3HOpV42+rEkhO/RdImWvAvzxQKJ6NLNZZdQ7NJzS+b4J4KImvgWLU9Rk2oLRcopeY5HSuZ5EfeoVczvejEUZB7s+TaPbBi7fd1RgxiuVAucPWfiAC/+p6+D6bHmKhm6S3zWnXLyj98GwKs/9Smcn/+vZpyP37PrvrnMzvLWL9wFwCMnHuOZzDuXAyM/kYlMZCITmchEJjKRiUxkIhOZyEQmMpGJ/B+X/+tdF79U0YDWKcMgIJKIbaFYyiPEYRDgCE/BIDJRzzRJKUhWVccxJSHY6/Z6jEq0x9E6YwiJHOmgRxwRaid3BYwTWILG9UwUf3FxD5tCEJmhAlSasl8i77V5nzCSyGqtRFva+SohjS+lKccl+5MMI5ZkwIs4CN8zjyfmPhSVRbMq2cpWjJL2s/00wMoQb/cbIr4eGl8ykDMJINFdwhRfEBSJXO6UPcvGrIkwJ66HI4SvJ774BaQTLfuKxbzevZN1jg3BkgxCsVrj3nvvNcebmuGxZhOAmzIeFQX7a+Y6y1strnOy1AUU5F72hxdpPf1liwKl6LTMmMbr9nUy3ip2bP9d/2+N8ZtkX41nv9V2pM9FM+SZvqVjumdhVYQLrdOUc2kOVoxOO5YmY1FQ5SI6I2QUdtRCknBkOuNSi2hJ9uJAsUBBkHyPReY+l2w716c97QRrymQIummAI/rUvd+QYPe1Bska1RNDgAnQizUzkg2ouGZkZ5cjUuH7WvZtPMkmlKtVVkQfSnffy/VCbrklyMyZNMUX9E/8wQ8Qy7tpKcVbJTP3XcIlcGI4ZO+M4UYoP3WW2ySDEl02jokx0el2REvOuzXSJTWuQ2Jv4jjOs9ymm7W17fsdJxn7vJMrYDf+g5wJHpQvn1NwzTMlDvMx7hN0k+d5JGIXrGqJvnAUackQuUnK4SmTAYoGIVsypr2OS0Fu8xNig8u2RadidGm6HWNPCXItDfBEl9YfNLo0SDW+6GIljggye6Icytlly+sQLUekpRG/ji/6HKLpid7UNraYFxtCzVzP3ihl7/XXApA88Vie0dNa8/bQ2OAfktbYpx99lMGjhqC3dN31PEv4un63PUJ0XZSG78sUjeEJimWCS9OUunBI9fsD+sLHFQqvhqVU/n2n083bqtu2myOctyFltjX6ULt83GWuw2KUI0vI5j1lOyDoTB2Krdaa/WXzfP1GmSQjZq4UGWRZVEGyeHHCFdIqe9AdMBDd21vwRrYpFn1yHIKazC2bAXbVnGOoEyxljrv0qEHvhVoznQhqEED0e3kQ4AnPJak51lLbZSjor1IcEO/bK7dMMdg0qNBryjN4GyZz+ulfNW2wm40ad7z8xQBs/Mb/pCyZ1ygM+Dfv/GsAflkQZrrXy/2R5x4/Tlr+JAB/qKZYWb6czQ0ypN6XiMLZVaztf8d9om0ICzXi11HsghQc95tScp4kZYEr72w0ak2+KLpU8B0SOVZa8umKvdUV872XpBxsGNsUDgLWZWz7Ch5leeSPi20qWhYbQtxca0WoaXPedhJQlCYGpx4zZN1BqvEEoVyJdH758TClnHECCfoy7fssHjUorONXX8PD/2j4apaam0wfMtw3aRDw4M//IgBXSUOVfhJTXTHcXte/8128/OtfCkCn0+R//d6bAbj3Nwxa58j1N1KfM+ivQwq2Pv1ZAH7/gXtwnYxz6vLI+V7LTvT604jWJBmCQYPOG+iYG+o4do682Yb0yc88fs6doxrXJ/lsOShBK+iBvGM6ZVHQVuWKQyywFq9Wpi3onaRk7qGT6m361BbbdKBSoCJm9bEg85usvOFBuRVje7LeSIYUBKn8xBNGn4appiwoZKIhG6JPaeowJddZlHlzsJnSL5s1xOOnTtGQ+7d69nTOMbRvfobu42auctoGmVrcs4f1daNPn737QSxBiPzsL/w37r7acH79z+8z5M+Hr76SJ9dMxcaxQ4d5fsn4B792ro9S1uXDL+9orKQBncN+dplcd/jkGa+WKaDY7oNHYYzWWYWGYm7GIE663V7eAMtSds63qcn2tdGZvxlr/IJZT/mehxTO0O9lFQIpe2RNV/B8YkFYp8UCXTleIrbL05oD4jeFw4At0e29ZZ+anO8R4UwrOSO/qdyKcWU91U6GuMJH+vgJo0tRqqkJXNkfRjiuoHBCTTVDd8lNaa8q0nnjJ6TLZ2gLcvH02VM40wZ9U9nsMyt+kyfVOOuDATf8ix81x/j3/15QT+C4Nn89NHbvdZsGxeNUSrhSXTL8/Be5SXxv44NfHofJth2qjSm2NtZzFJ/ruthO1qwGbGd7FVcURZSlwY+XJHmVEcoeW6KN5jst6471jeYOXRsPp2S8u2PrAJ1xg2l8Qfn5VgHLN/Zh0Onmv14UhHJpxoVEOCPLLqGsq1KxS55SHBa0sRXFdAWlfGWtjCV25fOyNqrZFsuCXJ/eGOIJp2RsxSzWzRhOnTBoN0cbZCpAPYWK8A+u9IbUHXOMB8+YWMJtd7yQvYtmrRWunMU9cMRcxPIyXHM9TyeH3/oH5ncHjrO5bI73pje9mR/7sX92/s5SzbP1x2/l9imju5ZF/pyfTr7qAl22bVOr1U1XvLGyjb44F7Ozc3m3hUg6PsRRnAcvZmZnabWMQmk9VmKUd+XY3jkoU8gkSUZljkrl27Pg1babbflESgibC5pbxMDVHbPt7FNNXr/PGJNGQfFLZSmxtDSHilJqJhDDim3TFpiik2oW5hoA7I01WwVzTUV5P9KCIpXfJQrqFXOsk16BuZZM7l0zgVd9m34160SlaUogxE0gFPLnLKiwNeygQvP5yccfwtMCtU5iqq5R+ppfJBEHwq0bh755+iwtId38pafO8Gt7jbH8q3f9NVN7TEDiu2VRFm818drmQj7pV/jNNdOBqFAs0uuODMDlE737CzPuYKkxh320ccw5d8kN3PhEnC8mdwYgrNG+55FeavJSSauA7ZtJdt81cxx3BHrdke5wZzr80F5j7Fw75RfaGaFlwowY9awDZzFO6Usw1Y4TpveYheV8kNJ1zDirsUB3XYuhEIQnKMqixycbBeY7svjomGde8iw2hDy1GGnW3SywBn62qywQvHo5n/QZDnJnYm3QZ1bGW3IUHSGvjIVIPiiVmZ43BvX0C1/C4c98HIAoCnnPhlnUvu4KQ4jZSVPOyML+nnafX26v8H9ElMqiVCJ6zMaMlVKMfjBme0Z6YIJcu5VsjJWJ7dYoQ2ny2hu1y++UAwKVnl+sclRUt4q516tbQ14vulTx4WdWzbs3sDTzMvn2RY9LMXQzXUpSpvcamzYXaWK598VMhV2LvixcGkpRkef/VN1nupspiPlb8q28lKyQQFPGaEUpG7IYcUS/er6Fku5iBS8kyrouhjHTJWOHKmmKL3q1+ogpYVTT06wIofDSC1/Cwkf/Mb+vH5QA8r/MAkpxQvW4Kan9q/se5tc7WYPgy1bIkY9FKRuUwpVyvCiKWJMy3ILvE0qpbkWg+YN+j4E4NnES5w5eqVihubWRHzcf/7ijNrZ5e0OCXWxTbstsLAmWLhyc54jEJiqRsSvnljt83xGzEFd2wq/1xfG1NHPZuy7zajHWbHXMPF5AoWeMzZu2PWK5Tj87rQOB6Jhl2+ypytxqa+pik7ToU6Xg8IQv86nv0hPTU4ohq1xJJOBVcUGLU1eqlwnL5l144skT7K2Yazo73OLAlPmc52MefJgHhYT38ec8h6s+a4JXidb8bcf4CL8k19Z//HGOXGMIxn/uz/6S35HmORDieS5pehkbZmwrq34mMp6MGQ9GWDu+h+22afyUsngdp4XYdWweuOaZzxycYp8jjra0T91c7fC9e82CpFZW/NQpY5t6Cg7Jgnwg/oYXa9rij/hJysxBs7idSRWqJ7ok1+D6Nl1ZuVaVoiR2rl31KfbFNgnheKlg06/KIiWIGUgZI1FKXxqwOInRn64dUhiaMf7VX7+dsnRGfarbY0pKqGf75JQXD8p7dujIYXoSNPmsX+CWv/97c3sUNITYunlOOjRqTShNW/7gj/+CXx6a4EajUaLXvby0D3qbbpwv2zq+mg/jX459dsb+b+5nHI/5SjvpH8bt1G7nzje54JiX/fB1eznkScdDmUNOPdXi+w81zPmsiN+WdUPgKhY9o08tmbP8SNPJ/NskpbHPvP+NVKHCTJ/MiX3PYkOSQkWlKMtc1qt4IPqkZc6reHYeWHftmI7Ma1ac0huIHy7bIivJy66XnnyEuGbGoPs9Dt5wEwB7Zg8QrZmg1j4JnG48+DCLMpcNDhzgFmk29Zxn3cb7/vGjADz2SUPuPFOrEEqTlv/4Gx/hlzstudWaYsGn179MicJtdCAAasxu7Ja42xFiHa9k3LG71qOkoWM7rEogb3p6ir5MALNzs6zIe6QkOKrTFMc1+lMsFumI3XCqJY7Omn0aiZl3Nzc6vFpIuitFxc8+ad77vgVHSllST55nvF2Xpg6bd3paK6y20Qtf7oXrWbSla15JK0rSKKNbdnH6ZjyhrOnKvk1buqDPeYqmJJOH/QhbfGxX7oNXduhKQqhc9VgXihhlK7xNc3+O3nQHaydOmvPJHGadPEWSdXr+4R9l9ndMwD2OUv5OkoHf+2zTaKX54EM5ZdBdQ82vrhiblSTR5csMStMV1/XyNX+aJnmDukqtMeZjGymWSriyPoqVyoEytuMRBFlyMDv8SE81F5pLNaO1XbZt3H55DCRxd+joLMcl11yKjZ6cWR7wPUIx5Hgpvyl0HYmnmBVd8mMzXj+BniQz60oxd8ToUsN2CDaF+kWMRtNOabeND7JfW+wXv/lcyaMpgc7MNlq+RSR2IoxSBrK22xc6DLVQKUlTpvd/5hPcdLN0lo56XP9d32cu6P574DGjE+nqFpYEUJHkIbYFn/sMAMsveD7H7jVNU376p3+S3/tfJgB279vfavZd34DDplTyf/79h/jFJ03DDEPzcPHw+6R0cSITmchEJjKRiUxkIhOZyEQmMpGJTGQiXxPyVYfo0mnKcDggjhOsDCquyT/3BwOqAkPM24eqUTna6uo6cZxlJm0syRrkSYMdSJwgyAvBTKkPADZBKO1481uoR8TOTpFfOmainYddh6KUIQ4lMj84skBXm8+dKOU1Amk8k3RwYhMtrUp5ZWwritJ+VmmdI7YeHwyJhfBymLUv1lCTa3MqHpFkK+qRTSwZpvUZgUT6Dg1B2HQ8m5pktNtJghYizqztcbHhsLTVNOfSKV0hip+amaIembElnR5PCRotAzjbszMU1gyMtT8Y8Im//GvzuVzgZS9+IQCfEuLnl3Q6XF81Ed//8PjDpInJUsRJchmj/5lkGcPs2adjJRa7RYvHt1k52bI5jrNjn7Gxp/H23+YlaZbBYI7/TscgLYqtQonfOG4y0nu0RaTNM8yyyYMjHu1U9CmGbzVJcU4SsEd0a1aeKQVFQ84UpSmhoMYeSwJi0fW+ZIKcNGUqkVKjms9ACHtrgUUgWcwt0SdtQ1n0qevaTEVGn3pRymoG4x6Y4x88sJ84liYE9SqulGWmnR5uX1ptlyo0hQh64ZiBwq6urTEQcsspr8U18vm0lZFtw399zET6/8OePVx1ymTQ/2PUG0NVwWVF4uwowTDpxe1Q+tE4dmzUmlHZxbiMZc63lUGOmW81vs/OMcSjfb0SP3/E2KYDnktZINADsQ+Dqs+mQLPXIs0bDhg7tJx2aVgm9VQtmL+qqKjLWeM0RQnK5/F4QIqgCgXO76VpTlDv1nz6okuVwCIQNEWmS2XPoi5ZqI5rMZXpVayJBK4fZkjCip/fn07BQymjYzOWRbErJbHFKmfFFoYV83JYM9MU5ZqHseaolJecyErugJ/4gEF5/dfrr+dKycD/2zjYfq8vU5vsTJTSaK1zRJPjulSrNflW55nI+TmDll1eXsaW+SIMu7hS/mXZdt7EQsnzVZaVz3sGTDiO0MhI5RNG2UlrtE3mOrtc4WcPNgCYtW0qZXPuodzbXslnKzH3Lknhn86a77f8gMOWueeujGvoJDQkg55ozbTA9B/vDUhsmZ9krivqFHdoxluoFtiQclOVkiMHu6JP+yoF5gZmPB0bGoJYbkYJjqD6HCGlnz98kGJzTfa1UamUI7keBcmcT3sufWnyEUqp7J47ns30/Q8D4EUhx6vmnjzcbubtzL//z/4cgJ951m0cXjMZ5g+GQ7Y2DYJCo0nT5BlB8b8s0eNIPLhoJnQbMnUcuXyh0tfxMsYLIW2kiYRvbIhtaQbS8ES7RX76cAOAo2WXopSjBvJ9v+bmtmkjtnjdIWP/Hx90aCgpm8/ebx+mxQ7GY6XkJ9p9tCVzk8xzidbUZJ50pwv0BVHn9xQ90aXmtOi7DQfk0pyyhyV2oRMldORdrAoIYLFWYa1nkB3Nxx/Cl9K5qalpXnjbCwBY/vAnsMVfzZpI1PYsgDTPSB2XBUEmfmZjKfdp3/CGNwLw441pqkIk/h7fwRPkhuM4zMwaJOU5KQm59JJBiXfxddA77InZpjIqBc1In7DJ2b1zGwPbm0GNIwjHfbNdbFO2zS3ys8eNTzmbphTEtsTyfAdHpthIszJGxTdXze9Ohx3K4tPV5D2nQN4sKdYpSgznk70BiejTQOY6DVRTQc5MFeiKL2sH5Oic7pSUEBUcZqW016v4xDKvBXFKkpWeybZavYgjJdGDIGBTmmbU/BLZMmXvsaM8LAj4ntjda1/8AvSfvt3sMAxJVgy6/TNK8dKXPB+A33rU+E0/mUyxKOd7l+uQPRff9xkGg7wE8LLItuoJcqT/Dsj6jr8AenvpYn6MURlkphNpmuZ6ubGxlX+7trbJFVdeA8BJIetXShFLw5PuEP7t0T0AHCh7eELUHYvvMpj22RAfPEwtXr1o7NsjS02mFw3qq14zz075iqIMP9Jpvvh8sjsgtsQncUeNzeriN3kzRVpyDjXUdMQ2tcQ2VTyLabn+0LGoSelaFKX5mq4jiPdaMWUoa6+OhnLR3J9abYY0MMdb/djHqd5miOWttkF0LT3+OHuf9zxz/+6+j6NSdnciGOQln//tQx8E4Kf2H+JKWeP8l9MP0eu2sgeDukw+eBzHbKyvYykrn0eTOKEhNBStdouZWYN66vUymhCLjlwfyiIWmoNEp/kabERhtHNeyyhlxnXUZlTZM2ocprJjFUY++J6ijy2lqbGgxwalImdD8w7ascV3z5h72Ep6WMIVVJUSVtu2qIsvNkwSfNHtRzs9huILJ7JOdK8S99MAAQAASURBVHTKgownqDg80DH2w9MOqdDHdESXPFtTlrlmVUFxy8Q7Dnkea5bo4LJB/u2ba9A8dwaAqSNHOfdOQzC/d99hkCou64prYLdK+gdMOSJJwtRGE4B+qciTT54A4D/+7M8D8ANTNfbu2w/A2zY3qFfNOAOvTLtzceTyV12gK9Upw8EQx3UpFI0xmZqezqGJOk1JpBa4UpHOBY5Dq9WX39socU41KWnmqNlZcXw8tlB0xxw5PQpMKJ9nL5hjP0+gou/b6jJXNQ7LteUCV0nHOH8QEkmZznrDjNdD48qEYZULdEpGwdPQ4vGSUdQrBSY77RQJxEm3izZNKRUadofUxGFvVc0YbOC0vJDXuB5aHOyZ2QonH2oCEMh5vSCmKZBpx4F2Pn+4bLpmDIvyYtquprHvCgBK7SZnZCKI0ohYnH+KBY6KU1CXhfDSXfewJQuQR3sdutIFYm3pHH//vn8w4xDb8MNze2kIrHtGK07J74rFIpnRCMIRV8elEwke7JzAL9ThDjC6kDn93sjJssaCFBLIwS5DIkFRZbN9ohaYulflljmjO8+We//hdsCCdG96dqPI/JZMEv0g50jaqskiNo1xZLIsVUtMF6XDitI8URC4viyUa67PQAKkqmCxIRDqdmdATSCygZC/9aOElgy37hWw5fpmx/QpFF4DL7VoZwbVhp7cv3q5SFt0sipdabzBJjWxeoXpaaJGA4BB92H2NExA79D+/aQykafi8ASOjy8dit57+hRt4UrqLp3lhS8ygdOzD5jF5tETp2nLArqs7bHnmZqSisuGnM6gzbs5aTv2A7Zx+1lj4xrv+LKjnFp23uWcoCyf2xZMIOTZEhT6YLvPvCymrir5HJLuP956h0AWkxtSjqN0jJdB7GtlysYnIFIObbn37oYEIxOHoTh62rfYEtvU7QypSBlPLLZpGMV0ZYxVx8cRWzo/W+Hxh80kGYkuDQMNEjDxHRjIrYx9m0SCH65woJRcm1QC8sMkRkmntaTosSivne50KMr2q3LKRYtVsfkfP/U4p/OONxa2bG9JMO7q9pBEyt2LWGPP4CKlWJdIHMfFFjg9lsVQ+Dss28k7YT7+uFmolCtVmk0z8SeJhZaFStwZ5E5Xro1pnHf/sS2Vd5UyqwxZHjhFbpgz+nSrOFcfa3aYl2DbLY0Se8VJVP2QviwAmmKbdJrgicNZqJVIpySxZEFPnKrGuvm+Ynt0JRiOb7EupRm99oCqDM2qmee+NYzQwpNTd6GUvQ8Vl+amuX5XklidKKUm0PvYc1iTYLpXdolk/vZlruyunyWSDra2WyDYMEGvUsHGCaXUzXUIpHz0hd/0TQCc/tv3Es6YRfU7P/cFHsr8EdI8yfbokimNOZxo1qXjZylMWNhjFlAry0s4jksUXa6ui7Bzgfi0+ruNr3RnKfXOhafFiJdEj2yWsvOFpesVuG7aLIxuKxq9/Uizx5zct6uLLkclqOU0u/REh1pio7RO8s54pbpPdUZ4Hjua1YoZR0nmtrLjMRBdil1FU97lTndISWwTdaMTa8MIV975uqMoy9y+b7HKfQ8+JecW3p5EMahmfpNCS0AkCWJs0aWe8NrEaYCSOMq07bAlurRmbfL4g2aemr3heuqz5vr3vvzlZue3/gUcPADAb6Qf5bPrJmETj3HbvO8fzGLyx267jbrw4tENaAj/ZhBG2BLEvbyidv2slNolP6nQelxfMj/bGVsQZrta5NxupGzj3ZJ33bJdbpw3PsCtkkz+eDtgVhKu11Z99mSL2UGHodQsd0SfkiTG0SO/qSK2KUgtmsL7ONcz72LZcvOAbOQoWpLs7XaHFKUMKS6b36yFSa5PNUdRlndoYb7CfY+cBiDMup8NNCXhPo1slVXIkngOOpvrZOHds2L0qllc+p7LhtBKaK9PT0rMhkevRJ81gc3haXMuhpr1JbPt/eGQh4Xr9mi/x+mnzD6P3Hs/AL948BBnZB4olqq47TW5Vwme4+Zrq0suO/1trceABbvZHRj3j0Z6xQhwkCcYo3wdl8TjNm00zyllU2qbpPz3CN/QJ9t9pkWXjpeLHM6SKZ0+XSnrCsRGRTrBFjvfqJYozguFQuKwKQFUX8o+G57PQCKToU3OB9fpDClmflPN6PNaEGPLvTlma6ryHlTmytz9qHl2iQSsBqHO6WiKLnSEJqBfcmgLLcmCdFzvRD0qLSmTrFdYFv9msLVF3Vk053vBC3J7Gzxs/IuDyiGQroV/d+89PBlkgI8R6+yTZ429uvnY1ayJL+Il6SjInaaX0f3WRGGI7Th52aTWNs+ScsrTZ89xRnQ+K4mt1Er0ZS2dJhpsmW/UmK+nR4HHLOhlEZOOJ6YzKiWnzHXi29wgZcef6Q5pCHjl1qkye6QDr73VZSg+00B88FAnVMR38Ut+Vs1PlCjaDfGVuuKjY+ddOSOV0pFAervdx8muScayOQjpyz05XPCpCwWRVfJ54EQTgKIz4hGLy+b7giKfx855FrZ0gV0V3obO8mkOL+4D4KH3v5eurLvaUcq//tlfMT/cv8h58t5/hP0mePU3J57kjNyrJAxyH/yTD5t58hcOHub0+0yZ9a3XXsc/Pvh5c21pwoxw7q2uLp1/DpFJ6eJEJjKRiUxkIhOZyEQmMpGJTGQiE5nIRL4m5KsO0ZVJHEWkAscMgzDPHiVpmneosiWC3O30tmWK9Hj5jy3ZsBwObYFAjU2HMnu0r2QNCq7DT0s2+RHJvj48tPgPR0zE9vQw4pPSreelvSFnJNTdEWTKHp3kKK/5gkd/S6D76LyC7bQgu3q9gD2SPehHCV2J3s7EippE5PtCnFm2bY7ZUlZkW3TlYH57QFk6WyERXw+VJ0w6UUopy2y4irJkx5oCfa26RZINk0mKdMw1zzbQ1bu/8FlUw2Qjp5wSfcmaVAYmY2QlCTOCRFgMIzoy9kSDK0iEWYGR3vnwI7TbTTMGpXLYaa/X/z9QugjnZyb1BT4DWKMxWdb2DJEgKJRct96RqNoGbxU9dC2bfyOlrE8IquqRfsq/OmiOcW444BOiby+IYpaldLEj5V3TcQqiI/O+S9DPSs9C5veYdMApzzzLqUHIguhCL4qx5BiVMGWqKXooiLx+DEfks+c6DOVinPaAQjGDbstvohGcfyPR1ASUYJUs9kkm44ygKle9GgclYj8Ih1x/xHSg+vzqOksdQ6QaPjpg9uYbAYg+/DEAyp5HS8734oVFqkIKrpaXUYI2+9bXvhqAf/LOd/Low4+Y8brOWImyGuvmczlEytl2hfjvgp4YL9HQjOm6Gtmm/FgjG7RdXUdZbt+y+QnZ/KiUIz88cPjxg+Z9OxcmfF5s04u6Q87J6XqCdJrWYEkTi1nfZXXDZJ5CFVGQ7NVyVj7WTZgWFEM/jkFIo/0wpSa6ZMmz78UWBwTxaTs2gVyA1x7k5ZNaAJu+BjsrLwg1DfkcO9aom6dcW9xP8SULNYhj6pJNagEnhcz6oFOiIWS8GanqbKtFIr976eHDREtn8/uaiB5vyrt642P3j274echP+XsZVEopUJaNsqy8Ke7C4l6WlkzmSmvy7n6ZvSyVKgwF1UKS5qWJXsHNi9ZykHISk+TNJsYuQo0w5q7l8i8lU3lS0HtPhB4/MiMo5TDkC1Jm8dwkYVl+JxUSVJMUW9B5057D5oZ5yLEV4Uu3za2ylI11oSZZxG6UoISQ2hokFFvm3E7BXG8hcZjJyrFdh4YgawpoeqJPrjycTpJSER1aHoYckhIx23colsy524Kg9pRH1DfZbUXMgQOmucUja2ssS8vPyuYW/jFpenHPfQCEnsvQNcf9xquuQGflYkmcl6W3YnPtL/rIh+lIgxXbIs8EJ3GIZdtjJV+XWHIk6/h89nQKPPa9stnmI2VzXkacP16iPVaiOI5GtbD5V3IvHpP393RS4F/OCinuMOZzkiV+YZKwLPchyHRJaxyxTVOeR2tLmleEKTOC8FwumTFUhikzUpoYRklumwqhpir+lifzoJvaTEknqTAvwIFeu09Fsu1eJKVPYcKmNBUIXCdHh3kFl1he0rZ0A99TrlIRJGkzjjk0Y8o4Tm1u8fhdnzPnm9/HxsGDZhwyBrdUoHbW2KPXHj7MT9z9hfweZk9rTco1XvqFz7FHEIFbyRZXTpkuemdOn2Rt5XKVLI7LTsSylIvtqsI79CnvJM0I0ZM5wOl4yf+IxgGdjPwmt8iPytM6KeXtj/Xh+/cJGiaMuFsQLLd3BqzImKQajXKicUWfZgoeTSECH0QBJZkbmlJj1h0kTHvmvFGS5r6zH2nKMte5YpuGqaYizzJQIxRb1BtSl66gttjoIhDKgPrayrsGa9fBE/1dldLVqRRTOwv0opBD4nvH07MM5kwp1L0f+TjLgrh4yQsNyv2Dv/HbHDtgEIKvufMOfu4+Y7OSOOTxJwxSZ0lK+w8/+AiOLaiiOEKJb+JYpsGVvmxYHCO5NdqG8NKjxgbnlcOC8aXHbI8gcgl2KWlS48jUEWLHsTz+pcwLj0Vm2xM9xQ8eMsdaGkR8TnzI58YJWRFeBgQvpimuPNspz2Wza+arUhJRFX9rS3QpjFOm3OxzghLb5IQpRbFpTkZ3EyuqWdmhhj2iS/EgoCHIxK7okpWM/M6NQFPOSNdtRUnKak8LSrphORRlDBu9PkVZm7Zsl3BofKTqAw+iZw1aZv8eUwYdn13i3EOm3Oybbr6Rn3i/oGiUoioNcfqCdrziox/Eknd1z54Faq7xwZpbm1wWhykTtf2DbdlsbhqENanOmxz48r5ato9Os9JFB5wRElZ2zSmDiIN86ClqB+LZ3HvXsvh+MRBr0vjpz5IiP9UQChdbc4+g42/vB2zIOFVW7pxGOKJL80WflpQSJ0mMVIqyljXWSCxmpcTZijWp6JIbmw7CAHHmX4fgiy5avktxKLoUxyzWsrJu8/twmOZ0Jsq2c7RiZxjSkLLBvjQ7sbHYWjMov9hWFKeNrsyUy9zzgfcCcNOzb+M8WVqBM6aa41tuvYX4b08BMDU9RV90+osnTQnjgY1V1lYNulSffYIbbzTdHO+95246z6B0cYLomshEJjKRiUxkIhOZyEQmMpGJTGQiE5nI14R81SK6ACJBJwVBkEf80zQlDLMsY7ZN50S86FFLUKUUM88ymdkDErHsn+3m5GZLg9HvZkou/37OREYPxym2ZJCmhEju3bbCWjeZPr/hg7TuPF0v8PbE7DOfmkj364cpy4LgGTT7zO01kfCp0CUVQposM748SLAFIVVdbvE8uab+MGJFIrWFvrmeY/NV2pI1KFcLuFKju9LvknEbViTrXNeKpnDbzFoWjwgZ3XQCQUYHI9HscO0c05gxJo0ijz8pkdfFA5RPm0iuX/OY37NgnodwA+ybarCacZVozbd8yzcD8L73/QPLgkqYFpJAv1jA6bvyvBJGtdFwWaP/IpbtoCU9sz2jPs5jkmWNxrJCOh0RFVoulesOA3BI9CPd6rEp3BArnSFKkGwLjQo/NmXizPNBiCX71wRh8FZHYa2brL9V8zhYN787W/P5q9g8oH22eWZvSFxOSSvqjfYWDSG/3Ff0sfpmnE0tfCbdgKFkLvestNknqIk4TNgUfZqV+u9ivUw8JVxJ5QKWIPxW+z0cx9yjqtR5R2lMIt8vKEXTMt9HYcKmZBj31807sTYYsN83uhJ5JaJ54QR4zvOZ2jDXPLN3P+0nTpqxN5tmvMeO0pg3WfGNhx9l65RpXRuGAb7o9V7RweuuvZZz587JI0rpCYJCHhqXTRSAvXtKe1tL9SzHYG/fno3N8nAWTDZtn1wb3YBhbGzbSi8iS+/MFmz+9YLoVRSihDMks01vc0OcrNVw3UOVzL5LFY93SO39Acs8ux9IHE51hPC5tUlJdKkQW9gbgpSVLO9yO2AgdmV6pc1eQQcmYUJLdGmma96pA7Uig4bZVisXCCVrutTv4mb0Sl7GqQaJ6KWjFGuiSw0NHbHTniC7unFMtSMEqxWX9a65Tu0XOFo2909vtmieM/bmwIxBkM6EIXOCpBjWa/Cpj8vt1+zKF3IBnjWlLmeuSGFbFrOzswxkDigUixRLQritVG6z5uS9WFleGame5ebjnp6ZZU0Qboczw94LGQh335nmECXou7mKz7+YNvvUhgFabFNV0Fa/60Y4m2aus6su8zXhOqpM83eB+d1+0adXJw6ne+bzVqdJcY8Q8+KgVgWlJcNZ2wpoC2ljY6XDouhAFCQ0BRVWa4s+1Yu0RZ/KRY+egNjWB33qGaJL5spamFCQTKVr2fQluz2FZitrECOYttVeh1uvuAmAbtjm3LKZ36IEjrvm/hy6+Sp6TxrupiVBdKutJlXhgdrotsfpt3PVKQrfS6/XIU4yTpCEivCdVSoVOu0mSZoRyV0G2cZPuAOJsxNwqly250JlB7uAvUd4pTIESneYNyDYVEWQd7lha35MeEXmkyTXpZqgQn/bjXGF6Nape4SCUlifKvBuaTZwSOzNaxOH022jr83WgIKglfd4Pm5TOOXk3W1u9gh887m60mEhm+eChLbo0pTYjcOVAv3ZoozLIxLbdLbXxRc9Lsr1hPEIVesnsCJZ/AOFAs3IGFNLfKmNYZ/Ds8cAcIk4tWlQA51ewPEZM+epEydJBRUwkHtTqddoiX9UGgxGnEM6NC3tIUdDTc9M4wlq7Lbbb+cR4TQplWu0BXl2eWUHz1tmO3ezozhj3G1jvFyWhTNn9OlY3TwH3YlyjsTVfoIl22fShB+eFj61MCCWZ1URVOhvWilO0+iTrrjUBem3WZ7mA8Kxt18QS98Vu5yWuW6r06SwYHgsp/FxRJ8EWMPmRp9lAZCWVjvMRiO/qSOcqdPiN9UqxZzUeabkMZT5eGvYw5a5rCLIilnbMoTkGE6brqAMrWHEei9DG8nv45R9tkA6nJAT0uipUazzfEFR1K9d5Kqe0cPVzxgem/qxIxx65bea3yUJN8o65J5776coiH1LeIlUEpGI/vqeSyCk2FGssWzrshVXZJxuo8NvP9H5KFe1Q78y39wF4Z08MGdQbKofMpTrWB3EIJx2UyWXH1kw+84lMXE2z4lt+i2vgLsl3M41j1lB/zUbRd4v/FdHZFyv1g6nxJ6stzcpLxpd8hIfX8BCQuHG2lqbvvj55dWOqcgAqsOYnlRmTMk816gV6Mxk4/UYiC6t9bu4ohcZYqysIZb7lmrFktiuKaXpynxTFB7d1e4QZ2ieuTdVoC1+RCdMOC7rY3vpHKnwSm5KxcT8gf34ci9bq2vbELttQcvXamZNF4YhqdjHpaVzWNbYXJLbCS6DKGkkIFycrsPDgkKL04SpKWNromy+2mxtQ2bZBeEX1Rp73swxV1aFR289oC1ctOuDCLtu/JlZV/HD0oWkHoW4AgCbFR7s3/cTNqRxiTPnMy3PuVmd5v0Srjgmz/M1icuT7cwH36K8z/gHbmwTCD/unKDOtlbbnBNetsJyi+lsDhlEDDKEoaDhD9ZKrExL052Kx1D4oAeDfu5PR2FGoj/iz+4MY5pio66bneJ+aUw3XzfjKpQbRI8Y5FXhwDwD4R+bmt3HFVKtw8nTUDL3CleufWWdhqCfcWzKwqlerVbZ2DQxhF7X6FQwHBpfCjh0YC+B/G52boGtTVMFNBheeL5Tlw0mf5lEKaUtZaNQORl9vdEgEILefn9AkpUmCYHc3OJ+lpbMzSAdEZo7UzPM3L4XgIqUCv7k3WtUBEoc1yu8RZyiFyYBV2TdGEgIBE+f8Y/7vZBynJFGalx5qR3HZl2UaCBK1ExSDh0wL1tho8NWQY6baNZk6LPyIlTbASWBQSarA3RBuloNIlyBV1f2NQBYXKjSVKMAw7qQJ3bDkIoYU3+YEcbCKXEk5rSiLdDMhUKBQSEj6zdS1ppBy7yNB+cWOb1pgLslNLN7DQnd3KHDPCmd7yr3PWCud2MLQcdSsey8Y9B73/ga9h41L8BP/8efBqDV3Myfy/bOlyNHKiX5gtb6di6hWJatfb9IGDwTovtxJy1rTDDqZubOz1K+0hj56b1mzL/w2SZehpVvVPktMWYvtiL2ZV1RGJVWxPL9uD51LU0hm1Bsm55EBjISyq0U5oTM3t7q0hfS8IJl05bHXa0YvSm1A3yZ1NTqgLZnzuEGKRkV9b79BgZfnS7TK2YEgZp1CbJ0woCaBDUyfWqHMV0xhuEwwpMF0N5SCUpZqaRxoI6UywQYIzx37PrcwO29+koqe03wgSji1KOm85S7tCp/Vzhz770ALMzNEaya7S/ttmgOTCBrKLDpKOhz3fU3ALCxscE5gchmWp2SovX5haVfiShlacty2FbOkZOcY7bnDQsy/VGjoJiyxjq3lnAlyDR9nfn7Cw81Kcl7nNTL/J68/69wYxYkaJ3aQLaoy8oOeiH1SMpqLE1BbJNybIZSKhTKb1oJzMt57a0eXXHIhnFCV+DtGXS52BpSyOrg1oa5XtphSijv7N595n2YapTpS2efIE5Zj8Q2BWFemuhK2a6jFBuy2G/1IzK60yvLBQZCsJ91sJ1RikB+N1+bZ1NIXksorK75Za1WZ0mcsOsdIRotFokkyNMJAhZFb55z+hTD8wh3d86R+rztaRpdctvkeb6en18kCAM6LWNzG1NTeYnA1uYmiajwUIiSwzAmy18py8pLemuLi/TEsSnvNd//j5Uhlti96uwUvyWlVy8koCH6FJEYglYgEX1y+xGNWMrxrJSC2GvbtglEB2LRp02t2Ce2KWl2GYrj59oWgehTWWxTsR2M9GllQFfKYq1hgrhD7JO5bu90NSfebQYRK3IdYZpQl/lfSf2kjc4bGiRhQiDfX1srMxT7N5D5fLboE8hi4tAdL2NJut9VCiUa0hXIm55hrWGcvCvlXp87dw5bAuuq1WJW9Gn/8jn6UTb60dzrZKSvaUpNymr9QoFhv0+n2yLOW0NfGlFKaev8SNbu/x+f27YRhmfOThF7xiwAynvNwvsXVvuU5NnFlTJvkQjBS3TIAZmnIivN57kkm856Ya5LbSvFF11yHIdQ/KZQ9K+FYt+M0aW43WUg89wwSYkkkVOUpgOF1pCC2N50dchAys7sYUIg5zi019z3PfVy3tBnmGhaidH99nBIVXTFkRLFJE05JbZnGCR5V7Zb9s6zKaWpnnQ6PVp02JTFzf6DV3H8603jgtnDR+HAIXMD7r6Xc9JduCjvqu738wy0s9Vi6b3vA+DWxx8jkiBEJONqTDXyAGqxWGI4MM7+y1/+Mv7270zZyPLSU5fcNimltG05oNQoCDEW2zJu21jwwXxg1HjFzROE9uw89rx0A58zV/4rZ0McscOlqTq/J4e60wqoS1lLaGm06FMkPrLTj6hLmenWmD55jkOULebk3nVQHJ4xtnTQ7hKURjqQiG3K9MlvjWxTvDpkKPpkBSmZ53hw0diEPY0ygfyuFSV5R9hOEDKT3UDRpzBJWJfkzTBMCeRdOVRw8/m0KPPMVWWfpiQ0K+VZelKiV3ccDl9nfJ2rX/hiWkI2r06axWLN81i9x/hN/RNPsiD+1IGlVWyZEzoSHFOkDMcJxiUhn7nhaRqjR+0QL4mYNd0OzMW2UujxEutMxojCxxPPTgUl5fy1640f+4tLvbwbXVor8TtyD19RTtmbka2rlETsTCy6ZPVCZsU2bVgpnvjgnuOQii4F8pt2ClfOGl1qdrtEYpuCVBPJ7arUpAy6FVAU3U9XhgxlnlPDJNelw2Kb9tbLDIWYfj1KWA9GPstcFjcSH9y2FCvig6+0A7J0yRUlj1DWjXPy+i26Nisd82wLqsJqyzzzgutRlWsqVeq5z39d0dhd3enSExtkxTEVGc9zT58hkH0zmhDbVnkwSaHR2zr0Gkn1pV3TKaW0LQ1QMmqEf/Ltr+IfPvBBADY3t2g0jF50Redd16c3yLsU5Qlku1rCkoD13CETa/iFkz18eV+75SLvlnX6rfGQitglbaX5VC/uNYP2AE8SN27ZpSD66toOidiSzC/ppXC8Yd7trX6Pjjcq684qKCtTxuZ7rSFF2Rgu9wlElximud98JNOlqXLuM7XTlA15dqvdPrNyCk9uQzsa2aX1XkhVOvgeK3n0Qyndl4DfQrlID3N/brrlOSxeY2zRwZtu5fSfvBWA2rXXUf+B13OefPRT5u9v/S48Zsqoa/fdTSrJm5tuvA6A5ZVlnpImArZbZF4SI/1+L2+Strq2dEFdmpQuTmQiE5nIRCYykYlMZCITmchEJjKRiUzka0K+KksXlU4plqs5QqjTbudR5EKxQE/KV+al5WW7PaBaNhHSTifMjxO3OxTLkpGTqKB9cIb0AVOW4A1CvlugxHtrJXpCdBo4FnSl9bkkXr1igVQinHYCG4KKKmpNTSK1bYGS1hzF5rIh0g48hRpkBHIpWqClcSrEiIRc3zRj3LTIIdPT++o52f66IGUOFF0syVwkQUxHCCZtFFFGOi6IiKYFhwTdkIYpfiLbw4hIsiuRhKMPRIrTQtZ7rpHmpOSehvUzBmL/0HBISQjYrSsMXF+vf5aB3Nc4TRDuO+79/T/ivw8NAseRmkqlrLz9bJomY6Vfu5F6XzrROiWOdqK5RkgNpRSuQC3DKIN12ttJCLP71R7gCWz3WZKyjvZPY0uLcrs35PsF3eSUfYYZwsWxCddN/D0RJJTleySpea52olkX3LNHSkHQEhkap+IqhlsGTbdla6yB0Zc65GU6ZRnPo2nAdS3JTDpWXkpS2FPNsw9NKTUsley8TXY6DOkOhtkV5yiPYUakXvGoC8FwZDkMJFtQqlToSHOHtrRdJ/XppOY+XHvt9ZyU1tYbb38XWYHhzT/yg0jVJfOLphxxut6gLK3o09NnGEjG5vn3bvJ+32QURmXLcN+995jHhcoh1p7vEUURJJejTbY+v2RDWSMC83H01raKoDFdyr6P+7hyrc9zpaR3/wyDh01WwxkEvFGgyV7JJZYMYt/VtNeMPuusxbnvE0tm1kk062KbCjqlKLo0kPew5MNwy6Cf1lWMbUwpTpQyENtUis2+53TI1aJLqW3nuuQtlPNLy0pYG2UHX2x0PIzpZrYSxpqHCHqw5BC3zXgrjk0ly8AHMYnc247YoCsq03QEMdMNUmq+OXcUJ3iuGc+Da6vUBHnxVN2MfV+7nWc8y4sLdAWO/QrH490ZAnNX27Oj3OsySpLEbG1tAopyxWRUO50Ot9xyCwAnHn+MlTVpEjJeri/3UesULUiXwdYWam8DgBcIND85UCa+/yQAW2dW+W4pwdElh0B0JHYs2mtSviH6VHcdkqy8IdFsChKioHWeXRwKGqFiQa9t3uoNK8EWpFghha6UiNiSNT+dBlzXEuSMY5OKPXH2lHNk8LKUTM+UbQryKMoJdMQ2FRyLzEz3ZCx+wWHGNe9K3Y5JstbuUUJXXsTTQrRfVj6D0NwHFVtc94pvNNfz0CP0pEzKf/7z6H7UNMiwbrsVAPf0U2TA+T3dHksHTNvsb2i3+YdU2of3zXuVxEmu8wCtlrHdhWFAEAR5M4RLLuO2aNfvsw9inHZUpeVo1GgIjsl6v2DW3NdypUrvfoNMsgYB3yXNSiq1AqnMc4kL7fXttqla8EkHYptSxnQppSRIiER0qWSrvJnEupXgiC7pIKFZyGgAzG/OJgFXt8UXcmwS0SV7sZqXyp4RoNGeqseMjGe9P2RTSiBsFL7Yxa6UtpZqBSqRsTGLKBKZ+zvdNkMpb2wJ4mva8sAxNvz6O19G5dteZU64tALyPvPKb2avvMOP/vGfAhB88S46Qv8wvbhIT+aEFxZKvK9t9k2zBh1RyEbP3BPf9+j3zNjf/4EP5GTBl0tMRfeYPRyb3lzXwRJ9kdcNhRqj+tej0sXuAPsKM3+/ZMboVWJVCMRv6vdX+XZBTsQlhzS3TZq2+E0ZSXvJG/lNbgpbsq+vE8pSkZEKmrLsKDZFn5pjtkmHKU1BUSxmtikZclVHUEGOldM02HvKuGJvz4mR2lv1mJIXJ4ljnuwLcsRShPLeJzKPWEWXoG3sq601+6QMTWtIBK22InbsWkujZQyVIweozwjp88wMx297FgAf/chH2H/siLmmtkEBH04hLElZ+oED+NMGV/bSTp8PdE0lRSooxkrZZ5iVAOl0RD6v1GWe7QD0CNwu/8/+ZGuDUQWSZuREjRmqNMCZNj74nVOC3nZ82o8YRL/qD3i9NAJzE2+kS7ZiSxqlkNkm3ycW5JWbqlyXCqRUMhdB7EPNUaxLE5M1leBm3ViihKasuVwpnX0qDbhG5rnYtomzhhaLZXy5ztOif7MVh4rYwTBIOTEw+u4phZg0RK0pV3zaa+add9CUxefthwmuIGSEfYK5MKW9Iv58vcLUlKF0sFbX82ZNZ/cUaSTGV1iSMsDpUpFoqQlAfapBQea/b/3QR/nLc6fMMQTBGYUxmQ9lhpI9w8u8pkPjuC7VmkFuhVHEVtO8C5Zt0ZVyOFvmsF4/GJVgukVy7QtiivuNnX6W+ODxwVniB811Ov0B39KTphNFG1tiBV3XoitNBTK9rZVLFLTcbw1bMid6OqUiaymV+eA2rMo7uGknONk8OAhzu6SG5venkoBrJD4Q2zaJ6J23t0JZFnSnxS7Nll2m5VjpIOaEVMFVLJX7HD259kq9wJag/FxL0Vw3FXHx0aMM+mZsA7lnQXPAnDRaOXTLszn1yBMAHHzu8znw2u819/WWG89/UJ/4DNSknLFUhOMmbvA9Jx7nbyVec/fdpnFGrVHPGwIoK2Rra8vcSzTBM6hKnCC6JjKRiUxkIhOZyEQmMpGJTGQiE5nIRCbyNSFfdYguhcJ2HCrVGpvrpt1kmqZUJEPWbG7m5K7dlsl+JWkhj0Juy8jrlOXPm4zG8StNRokTTfpCiDpwFVXhhOhFCVoygHY3YsvJ0Akme/Rks8uts+a8tgd1iVovxZpQzhkLZ0QttXEk0uslmoJEYWMUddlel5rqm8oLLC8I4fDWkKK0Jd1TKtATwnsl7Eonev08MtvtD/Ak6+RoRRgI6aYgP9pRyqIQfC6HEZFwA5DYHBEURyxcJUv9lMKcIU+dDROGgnCawyKWevh+GDMtHBUF4fAaoHDluH005XoDgE+urzIlpNAb64YvwHYdYkGmXZD8+bKIYtQa9vxzaj2GEso5A/wxZI6TZ7qVpeifNs9qT0Nu4pNdOqJPHQ9s+VyIYjypzfYGMQPhNImFVfnkcMCxupBOe5qqjG09ga78LhYi5EI0yhBWtGI6S5goxYxkkWp1c/w7ZuY4t0d4ULphzhXjKEUkhIvrqYnkt0lo9cznXn+ILeezUwgk2zjM+GTThDnJxncsC9c3mexVx+FwUXRH2jerdsjRvYYo9Mz//oucnPD2b/5mHvnIR83vPvxROusmap8RpmJbDDfM+9opFZmW4717Y51IsiGeb441HM/yKfA8s71Wq9Pc3Lh8OEGd7uCUGM94j+UVMtSG5Y4QXToeIS6sAv2HzXs0VxSUy1Nd+sJn1HYVVanTr8QJvmQb3UGILajBVFCYZ/sDHKn5dzxNXca0GkNHUFqRvHuFUDGQ76u2hS92I9FQl6z5lJDjP68xy/KCcBEOQhz53k0hahi7sBoZ/dkgod0z9qE3GOIIakqlMJCMVjbuIEnZ2zDPvKWgJ/xTnShlSq5pr4whDRQIqnZm2CNe2APA0Y0WgcwD5cMHCZ46C8C8b+7ZoN/HLwvBaLNNxiLzgXBIjuTKH6Ee41Eb419DURBUYb8/QgpfKtGpJgpD9h88RFMIN13X5XOf+xwAhUIRR94B2864scaPoHCFL8gvVCkizQskuzlc7eX61HQ0pbp5R/wwpihZaGcY42RIr77RkXPdAa48X9fVNOQ+rUYpPWe7PvmhYiD3rmwryln7a8tmTpq0zMizfEF9ljXRJ8IYV/TJTzSB6O+52OjTko7oD8w93+gOsDLuuihBOKEpCR/YfLXI7LSxR0mvSatkeDlXVtfY7zcAmApWAGica2Pf8mwA6idP01o1933OKTB35/PMgYsFvIOHAWjdbdCoXrFIKjampRSBIMz+MQixCxli09woy3Hy91xrjSXXOXxGPJFfgeR8l7vMrdtslkAFVGGEutEDiDMdt0hOmXm7MW/0Z3N5pEstB6rSPEWlCUXhDbEDnb/jWfeA5UGQ65LnaqYEIbwSaSRZTpjZpkDRkXezbFu4wqsWaTgkujQnyIU77Vk29kg79yjBk3muECTEwst0RrhGztoJQ8lurw77uKKvPop1sTdF0aVWFDEvpOTa81huGRSHO9tgvmCOq9eMX0ofXvH6V5trSBJoCSs1Njz4iPl44w089MYfBmD+JpP1XtUaJYjoJQXRqtHNj3R6OSefbY3QERnJs1IWR46ZrHgwDOj3xQe5rKJ3/WhZFoEg25TokFbeaKcxVIdtKdKT5npnBYXbO9Wll9kmO6UoDS9KUUxJUE/OMMLdYZtWesNcn5wxfVoONYOM8024GUuBRSDjKDoWniA2U605LAiOOfl7e2OWTqZPcYIt76wTpuhps0ZYisz9PkXMQOasjd4AnSGE9YgfrCj+3jBNONqQJhVaE8tcOF/yuaIvtlJsajGqcOxZ1wJQVxZNQYpdecdVODeY7S+843Y23vZnABx92UsB6Lz777C+aNDt6/Uah174AgC++Jkv4goS3hL9b7db+OJDBcPhdtLwyw7pMpi/7PPofCpvNjZCdFmjPbUaQ9FbRKeN3zi3aF7U7tkOPeFabjtQkXmunqSUC5kuJfiiS/TNJLreH+DIGmlcl1ajlOEOv6kYKPqiSxXbwsuaUWk4JL5pZptuc2boz8v7myT5+sGNNHpa5jnxm1ZcaEmF0sZwkHNeWVoh/RKYqpnr3AgDjolP2NGarqxNByksZGsFsYNpG443FuS8YT7PXdmYYUvmsaA3wBJeSj/z1+rVHOXX63ZxBa399yur+asdJ2N8V2rkB2eNc1CM+bzn83Z9xaINkjLj7X74oYeZl2Y9m5tbOUl9RuZvdE3GkybgCxIwSQjOmHu4d4/52x3zwTsOFOTe20HItHBte0GMK3pli11aHwzZM2Were1o6pkuxZrQydZzgkQdaDaEn7DmOhTEJmigIWulKdGl690i6bzM0UmCzgj/45TSvPF5TvaNv7dkJzwh3KFrg4Eg7sz1p/KcMuRya6jZL5xy1arH2baxNU8sn6IsnLip2Ea/toervu4bAChEmmuvNbaIMCa6x/hH7i03QoZyfPKk+ft37891Qv3T7yD9rd8B4C87o4aAGY1yuLaBk1U7OQ5F4Wd3HJvVlax134Xlqy7Qlcnq8hkyS1golunKpO56hbwTViikisOgPyLE1Ak5IWaaoMS2/b4Y/F+LN9HSGa+XJPQkyKE1dFrmYaeWbRwXIJYyr6tqRbQ4RdryRoSGHnlXMEsg+HWlaIs+bqUpbXGED8c2iXyOBM7vVgoEYjT3uG4eYFvXCY6U/zQlDjBXLXJaSPctBam8bIVuQiREw6nArOe1zUAMc9lTrEv5ZMOxSSsC9+6aF6FHgtMzBm3P1DTT5QYAjrJZf8IQyDEMSMQYduSlKaLoiiE7GYdMKyklKRZYWDCGJ5IOHhsStAR2lFiMz66XI/ilpcvjuFwgUJE7aUNQxdE2cV601vnP/ljKg54XtXC8jIw9IcicnlTTEzLE2LJJZAKPhBx0j3KxRQcSyxnTJ0VNumxqgaT6SrFJFlCEoaj3NalDLPoUyKSXFj0CIV7cE2kGUgq0YcEBcd62xIDZvkNXythsCyxx9v1OlHfb68lzmraLBBLIvM4KuEtIeEvlCqVpE3BoPWi6JJ7tpczIxDJ35EhOGOsOB9QWTaBibW2TmYxw96iB4q+fOUNVjLN37CjzP/AGc03vfU9OdNmXgHahWKJaM+dtt9uEY45cHEcjSP5lEKVGjlmajMomt+80BrvPnTd7x75m+x8umXv827HGFid0kKR56XaUajodY/9iyyaW7YnYppmii5JnHlq2wU4D+JopKXPNIPgOsCWTcJeUnkze+2OXVErNBlKLkhZcVNd8ngtS+tK4oOVa7JMXYVMWJW7BoSPltY5F3s6q0IsZZCWzEvyrpIpVIaP3PCv3lYqWAnFYfYkJtLoD6tIQw4ki6l0hylTgim72HnmcaQlwhdLBs66hJff3TLWMJyUBsjQbv/1GduvwhGZwGReTlmNTazRYWT5nOgcDs3PzeDI/hVHE/LxxVlutx7NfjZxHy8s7E9vBgIGUcv2plA0/P9JYkjjppQmBOIBKp3SEyD+xrLyUIRV9mi04KHHgooqDEttkF6Daz+yUPHdL05SR9Ujpy/xzlXLREgDpZw6X62JLyepskNCTCtima3FI3ost0ZuSa7PUNLap4Khcfwv9BC1z5LIECw5dfQM3vvzrAHj885/kUQlOTfkesTbXqWSODQ8cyp+pnpunIOXDujuAptHfzU43XxjulQUm09OsSZD+VK9LLEGrn/+Fn+H3/8SUpJkyVHjqqaewxGnz/RJD6ahpWXZeknZZZGeMS+3cML4jRo9ye+QwCoBZ+fa3PWzuyR0VC0uSc/00zhekEdDrmnkusazcR1C2+TtTsNASJA4rLpbYHqugqMpCX2W6FGu25D3soUGC+4uJAzLP9UTf8RwcaaDTCFL6ZZnnXIuj4jxvyHhd3+HUhlkMuBYUJPCa9GMc8Zs68g5MVersuepKAE7e9wUcuSdJc4OWa55juWDmnfoVN9GWBcuePXu49xf/KwClVofjN99kxvDIo9RuNaXI1WlTarPxwIMc+vqvB+DRc2dIbzYBsPRjn8COZKEq91enCVFOHq557GETQNM6zcmY4+TSB+GBXJ+yQK1Odf7cwzAiL1XKS2FTsnVYqhWum9mxBFvmlD9qm3v/a5FGy7veT5Pc33aB1Y653tSySCWRqi1JBhdtEL8pVCPbZPlQFtLuqjxfN4G26NPA0gRim/akLpboU1/GZXkOruhTORzpU8exOCKu6npWelRwOS1+k28rlCQjmq1h3lk4lPMOg4RN0a2CZ2VVc1Rsm3JDCM1Do6fh4iH2XX81AE99+FMcmjUliCf/9G0c/4aXmx/OTjHzym8znz/xaQCStU3iq64w57juapZXja9dbdTob5hrCiTI57mOCXDBdtdb/R9IPZ/XqXM0z4589GxbSl5MmTc7yHcH4I8fMM/gv5dHujRI07x0LlSaXmc0z2VNzBKxTfWCDZnfpGyUNbJNFSEWtzPblOi8K1xf6Xye25c4uS4FokuO5+BluhRp+jLPdWzFMXlXNiXR5BVdNtab5ncW+JIo2GgO806wy0FG8+DRlmuzdULBzuhONEnWdCg041pLoChl0HO2TU0CaGuDJaKDJgldTqEmdDSelJh5KIr7TVl+WKlwJmuOoTSOBMhsac4VhQPSNAv4jQLb6kLJlksgGRBGa53TGS2trHFMEgCObefdaFuSpEC5Yz64Rc59YKWkAhZ5y9Bc26/H4EgZdScM86BeolNObZnjlQp+7jNJ/oWSb5NKcseujtZzTkFRER/czZKLNvSlnLWlUvoyBx3HRxWzeysBT9/FbksTlEgTSmfs1TRhQebCssxzRd/mKfHBXRv8cqZLAVV5P7Ik4bztMBCbW7Q1xcyOWoqKBPp6TaPD/tX7ueb5zwXgvne8m1iahJXf9R6OvfjFZvtP/yeuKJmS4kJWrnjVFSjxo3jwIXjR883j+MhH0eKPkydxYuKsQYilcp8pjkNs0dGn61Y9KV2cyEQmMpGJTGQiE5nIRCYykYlMZCITmcjXhHzVIbo0WqCHI9RNmiakEu0rFDx6gj7KeRSxtkFe88yk1hQXDez4asm8PXFtg9tOmQhp23NIexLRL1hYkj2KwxRJ6ORZIL/o0G2Z3/lxgspKwlphjqBwMrbvokMkmctCALZEb5sFKGVRXYEH3hMPuGrOoBFWdMADLRONvr1QoecKQapE6R/vdCgJaizR5ISI2lZIFaJBRQB9nWJLtN2zFBUhaLQHEYFEqctSIle0S1RLJu0Qtrt40mr05LDPnqyVexTRkeM5WYtwZVOzMwi4w/HUXNvLXI/3SSv2bk8QEcoeIRF0yg62bvl7GWCu244/LrsVt2WZ7hSyRsDaAgQWOAzzSo8rbHMPH7yqzh1npfTKdfNsI76FI2U8cRCT4cNsQcAUfMWWROr9xMIVfZruJXlrdiXPcugptCPZ6TChLKdolawc9u6Kjt0dDTmyYKD9TziaFckGHcbntJQp1uU3S0EXR1AXSZLiS9ZP2xZb8r5oyTb0opDjUyZiv9ltMyvk+e1Bn7WueR/nDx8CYOvUKje/4E4AHvjAh3Oo8Be7bZxlU6aRuA72gkGrnPjMZwA4mlq0BClRX9wDjz8JwH+66TZ+9r4vmt/lJM+KoWQFwuEwh8hG4RDLVpwH4rtkYjJ7I3NjQ5Zp2JaxTLf9xog3+piGKGXe++MVs+/ykQZXnTLZ1sGYbUpKNq7oUhJEZFTwvQzxV3DYaApZd0ReljY3pktZ5iQokrfO9qMEW7JNHV9TkGetRJfuCwIO7zGa+8hAsypZpkOpz0kp3ZqS454Le7iiS2mSUMyqlDHIMTDlbABDDU5GqJ5qPMlIhd2AUDKDW/J3b61G0hOYs3LYEJh/y3M4Khm2ynA4QplK1jFUFkoy+1OOy/zAIDq+u1jmT4XceZRQHiuj2IG4ybKGyW7m4iuUJI7Z2ljH8ws5rH11+Sy1ukF++IUiq2sme3b4yFEAzpw+QyjPQSkHT96tcDikON8A4MiseaZrx2Y4/KS5XwPXoSelgBTs3DbpMMnLOvtuNsc6bGZzXaQoy5wz1U1JM9sk9yss2CB648cJnuhOrwCebHdknrpvGHBw0dim+wYhq2KbDuHziKCspgQ9csbqUZAspE5TilFWSq5zNKAAd1jZWOXskkExzF1xA9OnDcl1CZt1QUCXGsYPWLjzTirSUCQ8c47mWTNPpS/9OpY//XnkhHgz5hkgZUA8eZK5Y8cB6K6uUXrM2KY/+63fJRRi9rMy5zmum5ebxXGcl+tonQg6+DJhJ3aixcYQyLLB/NmGNs1QXGOuok7AMdd07JC5b8uzHsfOmnc+9D2Ggm6n4mJJhjwOUqQdCX3RGde32RTb5AXkiJdGJ0H6KOTvWFS08qH5SYoS29TzoJhlfgW18+AwYP+isYQPDEKWJbt9SPk8KITtM4K0OT3oUMnKvdOUsviSsWOzJvNc9ryG8ZAH7voCAOWCTywItarlkObk60ZXgzOneUQIwTcqdSKZu6ZuuYlAzuE8doJIyJHPSElHeWaW9sOPmms+d5oD8l5+Z7XG22Xf4dCcI4qtvBQnintjVdWWoKoujyilcB2HKIrR6agMd1uJWdaoRmf2SOfzru2WR3qWJChBvVxtAJScq1c5vmLGH3sO7aw0vGRji21KgzhvUjEUNJVbsNnK9CkGPyu37yVoQaFnflPsKmyZ6wrpSJ/6HpRkbIno06NByF6Z6x7uj2zTovJ4UGzTtPhoTw07eBlpdAoFGW/DdejLOzhX8UZjkaqRNNGkgv63LDgnKPxI3rUrDx2i3zFz2szRQzx17wPmmqemKf34vzW3enqaEw+a7UfuuAOA/bfcSEN+F2xu0b7vIQC+uV7lt84akvZMccIg3N0d/j9RuqgsxhR4/IvR9t2+RpH7U2kM0vTo2EEzl2zOuexfMjqhXZee2Car7GKlIx88s3CR6ITn2TRlnvNiTUF0bKqb5HNapkuhY+W9OvxUo8TP73lQyZpsydz3yDDg4F4ztkcHEUtS5rrgFbhX1kNz4oM/Nezgi9+kE4UrJfpF26Yn711VdCZOExzZlmhIZbxxFLLcN9cxL9Ua7iDCLxrfwOoOacv6wd63l4XNJgBBmjAQfykpZKXomkTsUanhsCjvyXdVqvyNoH4ySpUwHOTI5ax5ldy0sfX4pRWNsT2lUimv7FJKUZTxW5ZFWSgrWu2s9VXKNn9c1r861djynt5YNeNdu7rOnmVz/XO+S1cQf7EHdrY+6keZejCUipmi67CV6VKkqInvWe5EqKzaKkN5elAuykwZRPk6vuvr3Le3xC6dHgTs32+2PtkPOSfPpuo4PCR2KaP5ONnv4MuaXmmFI/NyxbHoJJlhNt/3dEJd1qL9OKFeM/es3ezTl+frSIXHC175Kh7++CfNNdgWs4KCf/jkCdK/+EsADn3Dyyh8m0Ga9j9i9i1957fDCeMnsbmB9bfvA+Bt3/cGvvG3fhuAhXmDWj1+dD+f+qyZdxcW5lmTckW/UMYT/V9dXeJC8lUX6IKR2cu6uuhU511DBv0kh5BmMGnHdYhCCUwoj7x0UdlsfdEsFG682Tiu5c0BHTEmumizJcfy4hFUtqrS/OBZDX+x5LMmSp8mCYUMEu3ZFKUthiV8SQXboiwvetpwcaVzWa1SwJJztMThW2hUeEKgxFWvSKVqtt/rwIJvjlGVjmq6OcxL4CpVH0sWAu3hAFsMTUHe5wUc0iwg4kI1cyqLHr5jdopCc5/2L+xFF839OTsMiNLsXsc8ITxSbnOTq2VCzpgolpNwzE+2+VDTlG78g+/kXGI5L9d5JYLjM9rlnmF3E7Xj7w7JoLhpMFoE2BbDFRNcuV6ef6MTsCXO8Jaj6Yvu+TFoWR03AC2lfCU5rF926YhBCeIkdyAD18YVJ9nN1qXKBtmmay6llpR9FVy8zPmWgGNjtsIDnWzR6FGR7b26TyjBu9OdJgBWnBCJU1CuuBSlbK49CPOOZ8VKA4CXv+Kb6AsM9cgVR/jEx00Zz5F9B9l4wJQK9fvm+0PXH2dz3ejCSrnI/KLh8OraFsXn3gbAYrvL4GFTjmXL/eseOZCXBM1UKtz9oY8A8EeDft4Rc0q4eDrtFu22aGK60+G/nEBWZTo6Cnx7Gx/BOA9cvpi0xj6rsYWlm3cxfL7AlZ3lISvCk9PyLDLP3Qs1sdisaQsS0bHprCS05NIMM11KcSS6NXAdhBIFV8xjteBgS+Cchk8USEl40ccTiHAoOlWZKvOAPNOG5TGb0SvVPALhDTzTbpqxxwlDWazUKh4lcTw2hyGeXHJJVrZelGJJlCJwRmVlru9iy3VmXFRnh2vMS2ezp+wEb7Zhjru8Qm+f4QGcH0YcWDP6tiWLv/WCh52VRyr4kPDq/Gmvxa6li7v6ZSqH5l8OUcrC9QrU6w2aWxv5dlsW6Jsb61QqBgY+FO6FMBzBt3UacfT4dQCcW1mnL4HR581IUPR0nxWxMWu2JhW9saMRV8yUZRJFALNZ59Kiw5bo0yBOcr7JoWfnHYIcqX4pF21s2aYaPu6W0QHP9/BkERpbxgYVZivcI4HKqnI4KCG2qOQSO+a5nW2b5+gkKQPpfNyojfRpaxDiyuJlz9XXAPDaX38z1E3w6sH//B9o1EVf2gOuu8HcHy01Bou3X085K0t//es4mAW0PvQxpqXDVPzUacJHTCCCJ42jduK++0lOnDRjf/5zeYd8/2eDAf116bYk1+kXXIbihDqum/suWqdm4XTZVEqZCOSuXa9sztN7Nf6f8RJrlZfr3ynlgyz3WZHyly1H5deqYgjld8Y2mf2n5W+x7LEp77eOE2yZEx3fwRV7kAitQrXkjOmSTSDBHr/o57qUiI1iqsS9wmFUUw7HpLxJVzz6Ypse6TbNb6KIoZSV7Jnyma2b0sPVsEtd3rWsO2dB+dRkgdgetCnKO2F5Lkg5hVcy+rVZiLjtRlN2eP+nP4O7x5Tl9zpNlqvmvS3uX+ToqnDi7D8IwOc/9mHK8v3U7Bx/88W7APhkvcpBKVd79KGHAYiGw5wbMU40VrbCUgpHFq+D4aUPeGmtiaIYZVl5KZiyrJw7zNiPbKEpC0Bsw0mJSQxkpSZWsYy2ZEHZER+6HXJWONi2iir3j+JIE2Z+k0U+t2YLwELJzW1TGCejgLLv4IgfrsQ21YsOXjTSp1D8bN/zck63VI4f1IvcK+XaU8rhSlueWdlhIPr0UOY3JUkeTJmqetRLxp7oICIQu7osNCiFYUwxe+0Ko7KpuGwxEKqPNDD73nvXx3n9aw2f22ceeZRbf/5nAKjsP8Dn3v5XACz2h7zgl37JXP+HP2QO/C9+GE6bgJZf8Nl4xzsBaD/4MFfLeD7zWZNMLBQKhLJWSnW63RZcNu7czMffOeGO++BPV2IdjXwsNUosPkcW9clKnxWZF1tFC1dsRD/ShOJP1CxQcoyKHNar+DTleQziBCVZnNBzcztkSXn1VMnGF3ulGhahABU838MXXzCRNV3QKHJvph+2y5Vim3pFl8gyOvbAmA/eE7+pXnGZkgBIPAiJ5Nmlotd+EDMrPGN9S2dLAoKSn3MlW8JnGi8UWN8w2042avhTDTnukOiIoYJoFCuUz5nEcyu7175HTXzsQrXKX33gHwF4a2uTQtG8hQOxu+jRWhzTOtN8uowczJal8AtFsGz27DGJ8qXlVT7xqU/LMMaCbLluj819STDSJcsmXDI2/SZZd3dbAU9Jd9ZVV6MkhOIDsdxjT+k8oVqTa3arLq0s2Jem9CTib/sOeXZwILpYdHBkW6XhojeFo7Lg5YH7JFvXTZW5X6gBGpbLVWJfh3WXWHTpwc6WudwopiM+01TdZ1YCfkE/ypOZwrJELYopSBC3q5N87q9WCv8Pe/8ZLut2lQei75zzS5Vr5Z3TyUEnKCEkQBIgtQAbkMFwMcZA2+72xfa92E9f8/jafbvb97Zt+jo0dtvYxmBMMMIWGSSCEkLpoHSCTg4777X3SpWrvjjn/THfOav2PkcSbp+Fr3hqPM85a+1aVfWFOb4xxhzjHe/A6U27Xxuyjf7RRz+Fu2+3fi4+cRKf/djHAADv/qX/CLDghzvPAr/+uwCA+htsHIV6BNx/l/39wmUU3/BWAMCVF8/jgde8xh6b576zs4OQSbhaHGFGEIOeTBEldXw5WbYuLmUpS1nKUpaylKUsZSlLWcpSlrKUpSzlT4R8RSK6DDP8rpKkEcxREQIeSl0xWx/XYxTFAhzfvTdM0DhlK2RtpjIDIZER3hQHAkfZdriba7RZCM0AMip7DlSkicQ6JzCMxzk0ofmy0OgRvlgnnLWIAoSEx06Guc96rxzkmPF49bbN3A+yHCWRG/FGjLM3LBR+rCvkrHhVREW1IoWAlYIo18g5qcbAICaMNWaaf5wXiDkBsFZWcLenAnBAAr6to5Z0EEkdgZtQNhggJIptNJli7TbbMtNotHCNVcZTgf3eE2GEmNnxK6LCT6QWYbN5+jTU85aYPGRl7Hr1xaqOh9jK8UeSV8JsL57TvL1D1hqob9lWjnVHiq4UsharhmWBLgmdR0WFNrPnY2EQRwuQfwA6lmg40sNRhsrpS1X5qukKKwCZEJCsXmWjwutm7SD3RN8Zobf5LEPOylN7s4mA+qSLFNc5GCAmMjGIBBrCQfuFh3QHSqLO7Po6q9hVUUBxAufzzz+PG9u2TUdGEeKurQAF1ONqMsFLF+3fm+0VrLFCdOnCRYxcW0FeQhC91OCgiLyocJu0z8Vz73kvfpRtW7VOC1+7Zqs3w5b9+xeGQ/h1k6FHMQi/noeBEhREci3oq7nldz/FyE32M4Bx6K9qfl4qRkS0TswWjqAOmKYj+ca84lJoNIiAGhqNGgnkS0eIGUusEIK9P0pBpC/28xwJK0QbRAdOpISgLuXDzA/QiHs5UmErvSntRpoFKFl5WjvaBK7bFkJdZBixCp3QRqlQ+HaQ2oIuhUL4iWZYmOrpJnGqIkfuvJQAaNJRODLvMEbGCUVrGyfRu3TZHjcvENQ5zc2k2Dluq1CdA3uOHSmxwnbsp3SO/+T0Qyi8IbbP8Ev83r2qxCu3mjp9OqQ6txAIoxB7e3tz/RUKE7YCl+WcLNxVU+2bXH1OYH/HQrxF0kTMtwSc/hYGEpq2SZc56vRTw1yD5gIjYxDHjkza/tCxwir1aW+c+fU5KArUqU/sjsQ0F16fykHmJ+eEvRypt02sNs8CVNSno0cbUNvWNmWVwQ7RFiFtXj0WaNAONoxEST2NlIDhOQzpj9A9AhzYqZun3vpNOHLtAgDgyMEB+vTJm20iut/xToC2CTu7ABFd+/sHWDtl/WGwvoKgY5GnuGDbIM99yzcDn3scAPDRX/0V/CJb1u59+AG0r1m04OevWmj9lWHPr2dZ5N4mCCHsEJlDQzA7VNYc9TMXDY90921CBjdNx3LvFyFU3dqmcJeEt00FtNzHNZocqjLKK3B5MYBBRNsk3XNcC7BRWXtyY5iioupezzM0iarZIGJhmi34uUEJ6frW+jkm/LVo0W5kAQz93JGtptelssgwLNhCQttUixRyYX1es5KYkiJBA/P2SbaE6MBgSvJ3XWgkdXvuFQRc85NDvOpLV/HY7m8AALoPvh4HbNN46B3vwJl32zaOwS+8FwWHSzQ4nOYdP/ZPgQ9bRPRLVy9jt2n9343f+RDuY4vJSfqGy+MDaGcUYdCiHk+nE2S0wYcqZkFbDW5pzXe2cXGbwXM1xqOeRRwj6tp1q49JBB6H0LFr7y3QCOe2iZ38GMKAfPYeAVzGCuv0T9cXfN1OnqPOddng52e5gHL6NKygnKr3M4xdHOJaDPPAo+a3jrYQbPft64VGn/rgWrDrkUBMu9yFRBnMn7dVxnRugvH1aYk622alAATj9JoUmBAZ09iySL+NtS08e80is77uB38AYAsuzp7GG/7W37Dn+55fwrXHHwUARJetzVv/zd8GSAPx9I/8bfwLPtOfKSTM0y8BAI7Xrc+7kQ0QumEMZek7RHj6Hj306orBXF8W0O2LMbZ73QOEFtquhfB7KCEkAraeBz1rm+qtAKbpPlYhcbqUadScLgmDgN1iTa5zFUuvS7ujmScW380z1Lh+q/Rzo0wgYodNMSh9u7Ue5BhJazsqfleVBxA0LFvrTYhr1jahNLjOZzaYOdsEhNTtRV1SSqLppraz4yEwQEhEZ14KSCICIyEw4p7OcL8VaYNui6jbzjpOnDkDAOhfuIT1++2AldpeD0Pupds3bIt/vN7FWSJTP/qJj+FXGP9/7dd+LRJOtv7CdRuXX5sVHs0pRADthmIIhfk6v7ocIkopdDodpGmG3T2Lgi+rCgH3pGVZoXLIqldq0YfwMbtstdG83drTklMAkyCApi7pokCTMdM4N6gz3p6qeZNPizqsYoUjC3ap4D7wRp6jQdRwl+c1yaULf2EmxlMflQcpMtqojN8lsxCC+6pjW01UVywCShQGe/Rzzi7FofCPVF1LyJpd/yiY26sO0WqiEhjSrxRGwgGlG50urvSt3dk8ZakasoMeBPWy3azjm777O/2txJ1n/dqMaVeaKzbngseeAx60g11w5iS+8Gnbmvi//8ufwIMcJPRRxk7XFuzSM8++sLCtEgvDWL64LBFdS1nKUpaylKUsZSlLWcpSlrKUpSxlKUv5EyFfkYguCAkY7bP4WlcImQI1uvJIL+nGnJbaE2Ja0nN+T1XgWzdsZvTYNZuxDkOJgH2uuqwQMHW4Umk/SnasBGISOsdNkv1qjRp/T6cFBLOzIpAwJJQ5aNrP9EINzcz7YFLhKo8xXWvh1Irlh5g5lNAsw1mOAc10hT5fLyczXOV1vm7FVvx2exPsExXRzEqEBUexxwFmPJ8bzJSqvMKZPu9fK4BmD7uJY1/5Sq9YdIRRbSRrtjoS1mpI+B13jGd4noSYqtKoM+3bIVeXMRoVK3h9BZxjter3r17GOfI93SC6wDIHL6ImFvvzD5+jSwjxMq7ehT/anzf9nf+QIRwLpSk13hXa+3hi31Y6RCIREAFXLyskrM6EBiiJvBrLClwqrHMoQGU06uy3z6aFS+ojkwLa6UadvBUhoPmGWWFQkTfNrISQrBbMnP7PUtxJtKAuC2wTSSenGQx12lXNy0mGkkSqeV4C5JirB9JRtKBP9Ndjn/ucr3pvvuZuNFhZvvTieYw5QOHBN3+dPe5kH6e7dqDB+UYDYxLQbzz3EsrX2l7vqhqhze9LE3s962EAkEByttLC19x+BgCw+9J5JNSnTxNJ1qglyN3o2oWFM8Ahck24IyxUIxcJVhfRFB7Rpea2CWqOoNAlvuWEXaeTY1tNElpCsaoRlSWa/N7AGD8UoC+FrzyuNLjOMGjRNk2nhedfmgmDGfksAlZ3ysAAHK99MCuw1rXIgbITej0uqH96luO21rxStksuNNFPoalLikibfJL5SlqZV0Bmj5tEgUcoprSTg7LE6pBV1UTAOMRCoDw3l6ACtkXiRxGbosCp06cBAM2LV3Ew5jCC/hDrK1YfO3xWD6AhWT19avcqjvI5CIRCzdlmcr1IKaD1or4s8k44GMCrT6xkYFB5lnvhjoip58Aw2N+zfmswmC68z+lWiJ09W+GrtzXetWERbif27X2RSkGxMt0opa9uC5j5oAtpfJSQ0B5po9GinRpPCz8AYiaAIe9jRM6sMoSvSE4KjePrhP2sBoioT4b6NJtmuIOo6NJUuAbq0yDz/CYJUR7FNMPMVRxnhUf31IIAgtxEmiS+F//9v0QttDakcccdWP1z/1cAwPmf+pe4ccGivroNiwIY/OJ70fn277DneNkRNQNrYYTHfu03AQDrSmLjmEV3RX37bOIjH8Pw85ZLafz8c7iPUJJf/OyjeKhhde/K1L53ZXUNs5m1iUWeoaJSC6lQ6RLmjxXBvFjrXNBre0KY69ICjwmAbzpl45QzvA5dakTkBI0LjZqLf4yGpJ/LMNelBvWnqCo0iXKpT3KQrxmpBCaV45rke0MDRV3qpSXWV2xpvdkJEfN+59SlbJbhNvo5Yypckxzc0U8heJ7dOuO54czziE3zElMSNwdSeu6SGSvez+7u4jSRb6YRYkobEyQRJrRpYmIRDRvxCqqRfVarLMMdpywyZ+dDv48pBxPcc9fdEF/1VbztvPjeEFc/aTmTfu3Fp3GNROK3nzuD5iX7uSs9ewwhFAzcsBOBfr8PALb6/Ypxy6srxsDbkEprzxUJKM+hqx0sTsg5wlmGEESXQAh8U8Oe66lde780FKKas00VEj8/yiBw6HaYOT0qdSg3Gm3+3pwWKGibCimwT16cWmL/XiogILKil1VY7zp9UkjoZzVvXpHmOEfbZEyFi7RNup+hoq8LaYNmswIF7bZKC49olWGAJr/3+sjGNtvG4D7yOclmAAL7Mco12kT6HSGH6Tv//F9GfplDnC5fwcwRlx85jivvf799bxjiKHncxF/+i/NFevIpAMBT21cgSdZe2ziKNuOCYcPa5dd2zuIPP211L45CVG4oiTGQUh5iJP5KXROL/7xViW+2W3Nwqsa7Tlg/d9vUPjcmFwiJGo+yCiFtSGI0IqdLwnhScNFe0CXGN+NZiYLopkLCx0118vWNA8ANX5jkJTYYNzW6Ckk076wBgDLLcZpIwUpXuCodWXKGyg1VoCJk0xwZjztIC0iH6AoCtN3+gYidq6WGIYqt0YmROzSRklC0oRmfz05aQHOvKG9bx+5Vi/y+LapBH1iE2WQ0xlpsdUWR76o5HOPy9mP2fHZ3cC8R2n/w4nmcJYfdtXTilmVOgyXgEVR2r3U4RqksS+zv7UEFAdbXLUdru93Bzo6Nk7Isg2Be4KYBdX7YikMXAnoywTfVbLfJuX3rE0wIhIyVG3npOa8hDBLGKANoJLQFhjFTCe2ftYNJ7mOmXAIp4+YG0cFpIKCpS/vTHMfIO9teVZ4nOeA5ZrMcJ4nMq6oSF4X9LjWYIKN+NGifskkKPs7ozXIY+q5aFKLvBl/wem6UFaIpeaM7MTR9TG84wpFTd9h7ctfdAICn/t0voH/Uxt2n/sc///JFAYDPfgHNr3qj/Z3DF3DuFPCYHYyBB+/BPcePAbBDNwYf+X0AwNWMugSJnJ1rSgWo3KQhYXzup8q/OLLr0BJdQoifAvCnAOwYY+5/hb8LAD8G4JsBTAH8gDHmc3+U7zbGQHhqeADaeKhoZ3UTOR/gE7xxLz7/Ago/gcbA9XC85oGjeN1eHwAQUrHq9QhJ2/5dbA/QYeQ1XonRIZS+I41PUrj2wVotguDUhURISDrmUEjUSfidKwfjFBBMQKw1pZ/WUGU5rl22BudIxzrdUBlMSC7enxrMqHAmkjjO5XN2siYVGBugpiVm+zZoGDeUb6VsEBJbKOU3vM3uBoIjNvFQaI3pCxbO7Jx8mI2gD+xDuH7sCMa8l+vnzmF22SbDGle3sRG6wJLOUQAv0gN9+OhxPMFWoNdKhQdoTD/RJ8myEPBjsv5IRJSvrtxseG9xuubWX9ScbFzGCDZsYHH3bU28bsdel4N6RvUIFQ1YfZIjYvJmpxtijQHiSRkAdHAFN9dxEkIQJh4J6RNO7VAho8MY0mFHUgCBSzIav8lQovLGrEF9bSqB4cC+VpS5TWwAEEYi5nPjsliVkJB8Lo53N3CJkGRstdCbWcPfXbcOcFpUkA7yPRhhdcO+jjRFyUTX3uNP2O9aW8fFa3YDnhw7gs4paySDE0PsESJ99uxZhE9YMnqzb+/p1UcfwydImvkPd/u4wOlWP/KXfgD1jl2D3/3NX7HX2WpiY3MTALC7cwNejPbE/ocjtyRmF/VKSMwDNNfCgXmyBAaIbZB25/EO3kgi+IrTbGq1CIptLN29CRQDixsrETq8piMSCOnYUpdMqkUQ7nACGDsC1ihEyfPb5/m0VYjSTfisS8T8nKwqVEywJExMtUKJ0ZCT1socldOlWCF0HpO6FAgJwWM0tcDkwOpPr6F8+19GeH1RGSScRBUGkU/CQQloJv3j0N4HYRRON21As53nyKg/nbxAOLCJha2NDRzp2YT6kM9cu6rw2cKe+08dDPEYk173KIVvSOx3/wGJMLX8UvpyeLYpDEJsHTmCK5cuQnDTWFVmoU1/AWa/0MYhHWl8kuB7/+L3AQA+/vHfwesH9jmq2LohawqK5LataQ7FNr79bogW13hLirk+0TYltXA+5EoKjLjW3Tjw7bL7bEnoyADakYgKgYh2TEGjmto1iXmsVSUw4MS0qixQMdiXIkDMY7gEp5bSbzK+5bUP4X2f+EP7+lYLIYm8N889BAA4/dVvsX2/APZ+4d/iys/ZiT7l3nXc+8a3AQB6T9m2w/29PlY/b4Ov9QfuR/C0JZUXO7t48NwZAMCz/+CfoP09Fp4fHbGb0As//q9w44Ql8f2ZU2fwS5/+NADgtd0O3t2x5/P7Oy7hXaHLxOuN7fmkIHMIydKbRdA0vZJvXUxquVbqRXslgJAbyJOreF1pn98ZB9ck9QiSm6n1gYYYW106WInQoj5uSIMwdLapmn/OsSYHEqOFBLigbu9Ql9ZVgIrPb6tm/JCKIKxQkdw7oi41A4le3/q5GBqaJiQUIRT9nHBFJ6X8wIWmkMi4WRw3JHKnzzxfoeETBaYq5lPFysoXIdzP/niA156xoe8d99+Pq5+24a2cpQjZVr3dH6HzKU5xHFo/+bTO0GORpv72d+FX//E/AQC8vlHD23l9H+Sq2OQYryOah/NhGKIopjhUoS65gRxCCE8bAhn51xma2HjTb3YNwpaNs8+cauANfZuUmNKHxHUJsWCbDDdieSfyE3k3lYBiXON8Xa0ezdsYlUCf8XsYKgTyZtvUlQGMj+mFH4SgIFBwLRwBcjeUGFDHyjz3+gQoJKWzTfYVDXiD3IREn8MossZ8aNCAehVB+Ph9PQhQ8hz7WYlmy+4Bim0bY3/mN34Fr3/399rPJTVsX3gUALCxtYYTt9sWoOGnHoF85H322N/5bvvFt58FVm0i/4P3PISPvPgiAODvfeu70Hr2WQDA337EknUf9A4guV+xAAG3Z7E2+fCS8F/qexdiqld0xQbgMIPb7zyGh/nsTNXcNjk/t5ZVqIac5rkSIWTctC6BgH5utqhLXNNK2VZHAIijAMEtfq4lAz+xLhEs5sEmRjJO23OT0zdDiR7jJlPkfmg7hEJEm8ZTRykFKre3DUL0DjjBvS79UKGrrjVNw+twt9FCMWMRJoqQuaEKbGcM7z6FY+znNGtriDi1ubO9g/UTtojT7z0FceGCvf6mfVanRzfwLMPVHx2meJw+/FtOnMSblb3vH+mzTVJrXzCztmDeXmoW499XUYyxE+KlNJhxUNKVg20/aECpyCfejQe/AHOQhYHasvHkffd38cDVPgBgyA19WIvQYtzRHOfQjMGzboQG7e8aNDr8fZLPk1jVAvhlSP2oxaFPem2zsNMNAwT0k+06ULncRQRkPbumTpfWAuHtEsoCgRsOowIfzyUu/yAECq5HWFTIdrkPbEc+sVqW9r1nQoWTkV1zdWQdARVyuz/wA48uP2X3c/d+73fhgR/5H1++GC9dAViExuvuBz7F9A4LkcVv/RbCt7/dvjbM8A9+6wP2fC9fxrdweNAHS2uHq6r0RZSyKn2MayCQc6/wpeQwWxd/GsC7vsTfvwnAHfzvvwPw44d4LktZylKWspSlLGUpS1nKUpaylKUsZSlL+RMuh4boMsZ8VAhx5ku85dsA/IyxUJpPCSG6QoijxpjtL/EZAIt8hMywJ3W0SEColMKsbyvXVy5ZothOt4UpESiQESSz+382nyFi1jNkm0OUxKgTWRB1EwyHhCwWBiFbxcZ5AcVKgM4ddAu+laKS0ledGsZAkEC0ObCZx2nToBY4llOFNZLGT2a5b2HbIYpl7ewm6qyq9CZjgPDalgqQsDo+JhnhiSTypO7DACjZGgJpPEmhXLHXfnasIUnsq4MIY2PfW+t20LjfvmfyhK1smyCEattWhfpgiIzXU2xu4k7XErnfR84WDIcSCYzBjxAmjt1tTEnQbuIO3nfjgn3dV2gW24BKLIBeDxmCv4jAWUTfLBzTn+NCXljwuoIIgpWg7+qP0eQ9iGJHEh2jRYLl/UaIPqucOtcIScCa5iUcr65xyIUQSN19lrbqDNiWR0c+G0+sbuYNg0abrbRR5ImZZ7pCRhXYIMngdL2JNi9hv0jBohBiLTyysBAO3SOBmK259QBqlYSlkxQVkV4HfYuWOnvyTqwdsyguHSnf0lHKEJL3J+LY9se3r+KuYxb+ano93JjZwQR3vfF1uJujlJ973/uREoq6eYclPVy5UOENT9r3ohp7VMTvfPQRfPiTH7HvIeJr0D+AUotw5Hn7hFlsoTgMWURNLOqPEbe8x71hPhpbEIb7XUmFYMK2QtqmuJagSZRf1QgxcLqUlqh17TOb5qVvK624njoCBkQxlEqiHrhx9BoRn98WERhFS6DeJBRazpGgU238QIRVVhBnrQQt1+KWz3z7bKQBRT12utQJJPq0Vz1pAOqEBhDTNtU6bI07yPwQhKwyKHgd0AapYVWd+ixVgOCMrUau7+5jwLbq4IH7cUfP2lAzS1Em9pqC/QN7rDtuw/e9/wNcghyuojdMVvA/sy1Iy1vQdy+Tw7VNuqowdigs37N5cwuZ0+PKtSALCU19KrTBf/hVW93/kfYMMe0JqE9hHKPB58LUIxwY11pRIemw6laUntRbc011ZNtLAdti5nynNMYT+RqOsTYtiRrbNGQUoaA+KWiUNHqtqf2ubK3p9Wm/mKGiPoVmrk8VS+zdQKF2xz0AgGEg8RoOlbmsQiRHbIuYcLDqOx/0t2v97/wokp+1NbUrH/xdiEHfXid/zoop0LdIvkYYYsLWUH35Mq5+7OMAgKMHfVz8yZ+xtzK1NnhrPMXrdy0qLFSWTgEAekEX//cXbHukIrRlNByi37PHWFldwcGBRTXX63VMprNDaYO1smAHAdysvwa4FelqqrlPFsqr3bujwrepJ6wgx0niCW2jZoQen5kqLRF36EPyCoa6WdIemQrosSVhKIz3pWVlsAI3FIMov7ZEjcMTiiCEIHIqhfbDLRyZbtVuoUNd2kunnsQ51AJ1X9G357gSKVymDo6EgWqwtQXzuOlIh2iPgxRh6hAhNYzoo5SBb+9QrHjnUqNzzCL+NrsreHZk0Q/H7rsXt61ZtPHjH/84XuB5vv6tbwUAHN2+gR+Z2GM8+R/eA0NdumoS/N2DyzevETQC6pXWGvUaR8YXhW8p1M52vKoiLDJjwb+ZRXSymQ/KKBmf2tYuPv9hjFrTotq+o5yiYlU+pj5FtcSjbUwtxIBHzbMSKx3r66q8hCKKpqJ9MBVwUNp7NxGAipwt1Fjhuhd9xvQtNSegVwrCocOMRsnQoUt0j2m30eJ792dTP7wpNgLSxU0OeRgHeInr14OBZIuskgJnOnZ9jibs/hgVkCP6ygK+RTurCsipReSN+L3h7jU8+4htK7zrDW/AOfo0ZBXgSMMHQ1xk+2qzZe8vHnoQ/+s/+KcAgH//gd9Gltrv/Vc/F+PKxNqhHj+TTgceLZLlGlHE4Q7C2I6j6pDiJm9/Xqmr4+Zf/d89Et69H/hWkUNy/WvUpbCWeKSnakXYo23KsxLdBV0SLsxwaPQS2KNfHQmgJMom0MAqY7mCaBrRlJCMm2QQ+Jg3A2CcbaIuVc0WOm6ASza7SZeC8mZdaoUSPerXyGhvm0qt0eUxbu9SZwY5VvioTfZ7mMX2fMJMY0zS+NWaRRcPhvs4vmVtUK0oMH7xAgDg/nd+A2pEtOuDA1wm4lhctH8XgcCff8QiUNNs5vfd16cC/6+rrtXfxdoaxgWjAt6/aGMOLf62h9Eoy9y3ccsFHKLWlnrByuI5zFv0HfrrXbsj5BlRUdQllcQIXLzaDLHP+DbLSlQxW/fN/JvdjDVdAnvUyz40NG2NKSqsU7nTIZFJLQnJNuk4DCG4j58KA7dRbM8cDLQFbv0wKFIUVOLEAHQbKIgUa4QS20QmNwKJFlv7W4nCkZZdxysHpAHJJVa2TtrjDq/jKuOj5qkz2DphX3/+hYsAgLOrqwD3BEgUMGau5dwJ4A9tTFT+8q8huMO2OuI1dwEAwjjCd/69/w0A8L3f82489KCN5z76K7+Fv13a5+qBhx4GAHz6kY/DiYCADOYDPCT1avYlSOn/a3J0HQew6LWv8LWXJbqEEP8dLOprKUv5L5alPi3l1ZKlLi3l1ZRFfZJSfpl3L2UpX1yWtmkpr6Ys9Wkpr5YsdWkpr5YsdWkpX06+IsjojTH/BsC/AQAhhLHcJIBL8+f5zWOUFbN9PVZN0YNH4IRrXdx1v+Wj6j5/HRGrxjkrFZ1YoSKH0bQeIWH2t20kBqxiSgXf/yqV60E2qJN0cKIzz/mUC4OImd7QcdtEIVJmQEVdImNVuCaAUyRyD263mfcLwwlg2OcbxJj1LJdBpwD2WSla0Tal+5wQQMOiZmTeR8FKWlsGqBMpEpInbNIB6vfaDKvodHHjWcuH9NA9dyG7TsL611h+id5z59HbsyiH1u23I+YY2f1HHgGaNhNc0xUEq0prrOQ9ajRm5Do4c/tpXLhoEXaD2RQvh0CIOampqwAektysT9LMqUpegVtJSCwibty5el6M9TZuv8NWzrrP74CABd93HcYK2b69B2UcIGZ1uqkF+lPHQwQErBIL5arNAk1WZKbDFAHv10QYKIcWEzbr340jz+2lIo2qIHKwMrjfzd8+Y/ut97MMl8f2fCIZQJFMPhzkGHE0O1hY2BYGYDVpczRBs9sFANSVwuzAIh1qa/a1SbqPbMde22A6xdZxi6q4881fi1DbL3zpWYvGao4m6JN/qn36JJoTkmP3B7hM5GWr3QFu2NGyGT/3yVEftaYlhzSFxF/7qz9k7+s4xxPP237xHs+rXq9jOOSgA2CB/F1ACvFFMTr/uXKrbTJGQwrlB2VY3XK6/gpVrIUx2aLewW132+trbe94ThHD5zuKJErHr9aIkYzt/e4YYEj9URIIiChwaISi0qixUnxtMEFXumqj8UM1VlkWUlGInLpUJEBOXZqUBg+RmFScJt9RmuHyxNqjSIYAdUmNCoxZ3XSI16tGo6CN7RYlInLcRVJC+RtA5NBaggn5MDJjADc+W0hEfMAmtMVtEeClL9i1D2SILlGD6cXLKNYs10JYVTAH5Nsi78mnL1xAKF21XyAkWXkgF7mSXqnqeEul+VWWRX2SUprBcEAi/FfifRPze+bVWyChvylbLRzbsuuQ7BxAUp80YZy1OEDeo22qBYidPkFgRMLQUAmIgshC6lNZGU/WPK6mWOd9HBkDReLllZbVlTAKkRMhXU8kJtSnXmXwMPVJnrE+ZC9NcXFizyeRoR+LLfsLtokcJNsC2OBgiuak54EGxwKFlFXPe+60SNDt9/4Ejn7nX/a3r/nu77E/P/0I9l60HDX3vt4Sgl/97GOIj1tk6qUrV7BOIvBEAAdEijemMxwnEbQDaX4yktDkt9jd20YY1bkegBtd7iqsRlfeHvV6Pc83kaYZlFIwxvGJ/pfJy+OmWxOnX0SvXILVaB97IGrg5En6+tFo/hYiEJJIwjjb1EoQ0/S2ITAmkkFKQFKXYu/ngAa5vfQ0Q+w4gdTcF3aaJM8OQ+jcofjnujSoDN5Ys/dbHrVohGvjGS6RH2QlThAQ6SkGGXpth1KxOnxFALtElR0XpScEF1JAE90iuF6qE4AUXiiqzPN8aW08x8+U1yhyg2efsLZpYoB83yL3VBCiIGfSQ3/pB4EnvgAAeOrzjwIAntzdxdVt+94bN67NB1KYHIrPYEyesOl0jIDxbq1eQ+GQUVGEVL+6yMCX+TqtSSxN7h1g7veAW5ioAYv04ItxgrU1ogH3Jgu2iQT0oYLmgA1dCxEQJdCSwIhrGQoBQd8QEzVTGYE6CZsxzSH40IVCQBGRU6c+RQu+TiTKkx1PK40HiIwLtuzPvVmGi3zmIxlCunhtVGDUcGTQ9hwuFhoDxk0nUSDhNiuExDMH9jvWiMKLuxGyhAhALVER6dgJA1Rca/C8kuaKJ9L/2C/9CkJy97z26DGEb3uLfW+W4vRpi7jADXKqvu/9+Dt/928AAH70R/9XhOTS7Q2GkORrdLGGEAqZJ3U2CPigx3HkedBeDXmZbfIx9aLP5e9GwMOt3JZVAB45FIQ4ec4iJ5PR8CZQIQDUQwk95HCoVg0RY/A2BIbOz0kB8LlNiLYpDNCgLonJXJeElAjo/xpEzUVRgNShChOLqASAtDJ4kPYtPjWPwS8SrZeo0Mf+clRgTF0qnS5VGgPqeC0vEfDc6kr6507RZsatACn3KikUAg5YyYTBRqcLAOhdtzH1eikhjvKerq2ixr9funARJ0nibvYP0OFb9tZt98SFyRQVUU5az1GbrfUmcIkoXd54IcR8NRfiXIvGe/WQ8LfqkuXoCuYcgSrwfNRG6AV75M6hgkeaHlnH3Q/aGFI9dd2rmOF61OMQpbdLESIOG2kJeO5qEUokXLMm1bXQQJt6sDfJUVGXlBR2Awhgpe0G7oQYO07ImkRJPzesNB5kzFQ/zZgpy3DJxUwqROT4AvsFCsbgKX3Xrp77uQ1ToBzbe1LLFIbcM3QdUX9c4cVdy9U9LUoE1KvJcISMHHive+gBAMBrv+atFskFAM9fgEfH3XEOeKN9T3Cwh91//n/YY/N6xm98PfbJqTsaDnCeCLEoEmiSZzUkmq3ZbGM8JqdrknikaZpmfySOrv+aia6rAE4u/PsEX/uyYs2h8QFZUm8gogKUpYZ25KZ+kkIIMPAMt7r4wSu2faVTj7FvXIJgDpnN+fCVvSkyTujRVYXQ2V2pMKDRL3msQufYWu+4N4B+F5Oq9DBoyckf1YLDyCcZBnRo9UBhxic/5SZ9NQ5wnX6nLQw23ESZSmFMqLybbBhODdbY2lGFAQ7ovDIjkNGYtlxAWGXoDyzx/anb7sJb77YKufvE53Blh9MWmVS75/wIVzkNshFE2CCx824lUexawxmXFTIakH1utD73Z74b67/z2wCAS5cvYdC3St27ybi5tRI+OXSTwxO3Or9XWxZgtDdtBOT8p09w8WdQg6xbfQvWIvyVC1af1hqJbx0N4rkT8mMQhhkqTuGYZplvoYiDwBNgljRK2uRok3i8ZuZT34QyyB2JLvWpyCu4wUaY5RAk7+4IgZzO94D6NNHan09kKj+tTzYiH0xkhE03U4NVTsc66A+gGVBvrXYhTt8GABheugAA2FzfwNWevQ9HTtzuN3V5r4/Hdm3AdWrDDofY/MMXMH2dbV08deYMsj37ubaQuMpWoVgA5b0W4qoZsH3fhQEUyTTvvPMsHn3s8wCA/YMeJJOkrk0iLwrU6vb+zabTeaBktA8QDkMEiBl2wwqw4OC1meuY+ylD26cKAEriv2e7Xas516WItknBIOF1Fv0ZqprVpb3ZDCtsj63Hgd9YuskkAUrU2jbBE4kRJgwAcmHghmS5iWmtooJ73spZDsFjrCjpJ/b0qEtTrZHzmY9Q+bZqWQvn38HpRO0CqNGhT0yJzJHxSokpNxur1OfNlXUYbjSKYQpFUsy40cDVAzt1Kixs4up1kwCXCQnvHFtDl8M8WieOYcQCSCMMsE9i+haTH9/zoY/6liAggNH2vZcnuSd+N9WXCewPT40AAGEY4ejxk0BV4tq2bRGuKu3jNCnDhZZG+0NDIdWuNVHhhwZsw2skuFIyqKdtWhMalfuyQQbQNu1NU3SNXYtaGGBE3+HeG5oc3VYXABBDYuSmLhoNQX/oJo11qspZTWTTFJrtNitSenL7PifvTk2FHC6Jr71tQj1ERZvk1mxTxGjQ79XqLVzlczFTAumOtSef/UNLCB/XGlAuqTnNcfwtbwMArG4cxcHAJhQuXrQ+7+7mMZQdm2yW+wfInjsPAMi3ryPmpLzUVCgdqTY3z//qdW/AO/j7+3/7dzHlpNQXdy9BOOLUhWT74iBWtwSuBa0sD9E+CXnz4JWbfJ8L/PX8NdeiLyX+irH6U2vVcJXPnGIdZQ124iUAjPozP21qdzrFGtmW64Hyz7pmy0eQZtjasrYp7o0xoL0wAt5mlyzoBYUGue9RzHJoFoJWhPBTo8YH/GkqP0QiLXPUmCDX9dBPZgSD+5YI0GTMkpsKpSNNNkDm3sPAug2BacCNpw5Q+N4UYOT8Cn3Q16tVXOXmZ+cLT+IUEwz5o4/hM5+xxLxHDno4z2JB7Z3fCAD4+59/Bl94zP5dBfBTBi/0dvxAj4zDM4RUPtBPZ1M/aKXRavlWWXz5fcD/KRFMNswjZ4F521Kw0ILL+ykkDGMpEwn80MQ+92Grhivc/Dh9WofxWeSyn0IyDtmdzrBOi1IPA0zctHAeSZkMR7bs8xv1Jhjw2JU2COn3Sm7KRKm9bSqyHIhfbptGfXuOKbSPuyJTel+n6uE8tqAutAr4tjKtneWy+j9xiSxOxp7kFQR174W9GW5ftS3YZjrFjCcXU4e2Pvw5TGu2SP+Ghx9CST8cjibA7/0+AOCxv/M/Ye3cWXueGzZh8Y/rLTSob8YYRGw1nwQas7HVvY01e8/+9J/6Fnzowx8GALz40kuYplbPZll26P7OniB/Lh7rppbGRZ1iTBzV8EOGk1LbdVzzumQ/sy5ssgMAxr2pjXUB3BhPsUHb1AoDjJwuuRZ/neEoB4nUelNMqdulNpjSbvYZmx3VGor6nqUZQhKWd5TEjMn5ffq5mal8DB6bCtrFTfXQDwBzBcZaCRx3rf+mQi7dsySwx0L5Me4TVoMApaOKKAMU/I6w0YI+ZmPvRmBt7f03UrTvtPF1Z30d+5/8jD2hKMC1S7YFUX38U5gyBnKJmT+3M4DgvrPdaqBkTPHJxz+Piu916S1j5qh0rfWCr8EhiwA4sA4AGo0mBq7o7Ww/MN/XiRBg4SDaqOMvnLcxk2rXcbVgGx7t0iq0H7CUHkz9Xutglnm7VBmb4AT8W6FMji730MnBBFOeR6kNJixkDGkzjlYVIt6r2SyDpC6tKYWM+zkXM00WdClBNaeiaYWe8D8lkCYqgaOMy/Ki8vuDUV5hTDDCmA72RKOGYWUTD20EmM1SXkcfL71gB/TsuPzApeto3PMae+A7zgBP2uIhnjuPg/f8kr22P/w4xonNPaxxKuxD/+Rf49iWTaD+zM/9Aj75iY8BAI4cPY7NLWvncvq52Wzq9UophVri8j0lNGPVqvji8fp/zd6IXwfwF4SVNwEY/FH4uZaylKUsZSlLWcpSlrKUpSxlKUtZylKWspRXkkNDdAkhfgHA2wCsCyGuAPifAIQAYIz5VwDeB+CbAbwAYArgB/9o3ysRRjGKPPMJ4ihOfMZxPBrDuKqytJnQpNGGOGqzqW8+V0fjcVvxHXcSJBwPWrenBpOXniS3kRoUJGmeNQNPuDbRxo9zl448XEmMOM46qDRmzNLWFKBmbL1x1chKoxXZcxuXJY7wu1QQ4oYi1LpycGeDBjO9lYYfUbqdZ+iyMpMz2x6FEjPCq0ci8JWJpBEiIuS1JOz7tvtfi8nEokfS3h4KZnfzSqM+stdxba8PALjQDHAfUSe9G3seKpv39pGzSpZIhTpvygscZ/rBD30EgtWuwaA/Hz0N4zP9rgJZaczvaRShzJlJNyWkIkl1tZCNf9VEsMK+WOXGLVWHOerM/l0jOmn16Y0nYiRP2+p9LxFIpvZ76kQTlkWJlB9LCo1gympwI0BIeOpYeI5BKK6vCgVmhOvHQiLn+dWMQI16GBBiWFQGayR2zbUGUnufj3YaOAjte3koSGgo3yYg5mspDQKuz1i4ikwFRYK/U40axnzGitkU4Fjh5uYRe73rR7FZt9Wv2aCHlZbN2o/GU3R7fQDA0y9aaGpeDPHQCxYpURhLYg0Ae498FvKkhaCnUuAYWywf46jZTnsdg55tf33hheexTYRFs91Gwmpso8H7kOeImfW34myCPER8oG0lM8BNrZI3oSZeRsJpIBq2yvZ1D29AXbTotWE9Qo3DIhI+e2VRYcjvDUsNxUVdbUSI+HsfBWI+SNWCLo35TEcGqHgvDIBWZt/TdFW4yniItSxLDNmOeGKliQMiGbLSVRUNQupKVcGP3M6ERszfJ76Vt0TNkUArIHJk1EmIhFUmh2o83l5D6wiJUmtNHDtq22D39vfR3ba68OTUDsq4urWKuznkQ2ug37DVTXlwgNqJ4/b6ywKts6cBAM/37bOqjERpHCoigjMttm1sjv7jhc6XCwILEIZDrU5WVYXxcIDRaOIP1Gg0vB2cpfkcLeRLh0CwbqvzbzrbAK7aqttBPULToehYydSFRsr1i0sNxXbRU50aMg662De5besAoKlPMpIY8O/KGJTOD0uBhPqyykrntNA4wmdyrDWEO0a3joOQLTssSQppEEpn04CQ51sog4TPzYTtbONshiNEmL6wf4C7qEPXkgiNiHrPCvP6ZISdZy0hPMZjRKwAbj/2GIrMXsdLz37C3vPj5/D2I9amXXr2ReQk8T12/Ciu71n0cpIXaBJB9uRtFtl6+eI2LlywOqlkhaNHrf5ev74NbW72W3GS+BYzXZUerZsXBVrNBvLii5Oq/peKWYSQGf8/W+n2CPgFpY7t8/TGezdgDmzcNIgi1IjujPgZU1YYMg6plRoV7dF6K4EiQfy+NnDTzx1VRBSH2HVtRdr4gFQKiYgE8et1ez7jQuMEn+/rRQFB1M3RThP9gO21RNKqolxw1wJu9g9iCcXY7Bp/5lWGNeqSCSRi3pKpMKgTCVYQ7aGhoFwsVRRoNW0cMJnN0OVztVtanXqkHOC+2lF+vkCdcVFmgJAoLnQ7OHeH1aFP/cdftufT7OC7vvvdAICqyLHHlscPf/hDHhVYLbTDz12K8Gi9LE3x6jXov7IYY6CUhHZINmNwk+0UN28vDATUpn0u3nR7C/m29XWTeoSE+hRQA3RZIeX5R6X2XRDrzci3NO9XBfjYg2YFrUhij61p2hgErlNSSkT8XNMxNFTAUSLzd4sChjp7pNPAgHF4Xrm4AYiU83XSx0opNBq857sO0KdLP+RjKgFJPc2VxArt4pPXbex9e7eNPvcYyAvkDmUSxAgY/wx5Do+3Fd5A0vCd/R72OajkoXe+A4Zohgd//McAtliPXrTInKd/9Texs29jpel0CkFUfD05DfLS4zJjqW/dWEdMMnIY+NblIK7DaI1XuRt2Lrf60cUpB3i5LgESomFjzDc+sI78hn1GxqFExD1ZRF0q8xIzIkWTwkCwXXGzGSPgmu/o3MdNGW1Te8E2FXqO5KkpiZB7uohoy9QIHOWQs92yRJE6+1fDJOKwATeTQRhPRVJp4+OmGTQS3uChu/KqhCBb/UwalHwOGs0Yq0Thj4lmbSQKUjnUmQbNJqrJBOULL9pzP3oGAPBkeh33fuFp3rMIM/qj9iNPoOB9SIoSIc/zvCSqTGtU1ImikEh4zf3pGHaIGObU70L59sGbOhsOW4yxS0UHMBrP5h0UxsB35jgREsmd1ue/5VSI/Gnu+esCIXVJGu7B8woZryMujd9YrTUjr0vjSqMM+TketxuHuDFwumQgaB9qSiJOnX0gIlAqHGHLbFFWKLjmW606xoxtMgZdUpoFuhxAubjbaCSMO4aM8YSukDhbrSRKtqCWgcQKOzdcMDdMK8DlUWAQERFfTTNUU4eysuf7E3/nb+GH5T+xn28059QHuztYvcf6NrV3HSmpBA7utJRJ8oOfwac/awcb3HH3nXj4da8DADz5hScw6NvneTSyT8Ltd96FfXb7DPr7GFauo86gKr481cNhTl38ni/zdwPgr/7nfq8QQBQq5Pl8ilFZFBgTmqir+WSfILYb77ys8No77Abpa6/1IOjcorJExKfPtfPUd8agLuFqXeEEIa9lEiFsEPY3Sv2ksJyRWztKMHULvKkw3rGBzFBqSBrDOiHT9UYDVY3w6XGOOs+hLyvs0OmtMtpqZIChoueqgKQibsYRJjQ+ecVjaY2VOvkuSuNbcHQlEZOrKWd7xUu9Me5/4GEAQO/SRVz6uIU+NyvhJ3f8Q3Kg/M2TJzAr3ZSIAvLcGQDAUSVw+ZrtNs2l8Eb2w3TMg9EAMTkFyiK/aeOo9a2bSOnbT7XWgCQM0Wjf831YIoS0MM9XnASy4HBdO1oU467T9lzfdm0Ew3teqyrEfG+Pm9Hg2hCKa3a1GeAog924FiCkJzLTOfdGQi4aAYWSvEq1zRZ2r/YBWB4cyazYkSYTufUEWewivgot3tNrKofQLqFozyHQAh0a7TIwwJg8OEJiSuedspMuCAQusDXqzEzi9Jp9nuIiw4XUft9ozwZTogqg2CoWGiBgsiR99hm/1u+9bN/7bcIAly/Yz1+6jDxwpApAxIBtrUhxsbCO4Xdt3IYS0rf5FXmKCVeoP+jh6FGb1Mi4cTXGoKrmXAEuIdBsNZDU6tjbu4FXX8w8QJMLXn2xhcMFbB42HeCe22zA9rbJxNumRJcI+Z4BnVdzZ4I6VfR6M8AWH5EoCRDQUdWmuT9ck/ohZADJtsHjR1bwwlW7Yc2lQEV4f4vRf1JLkLndwUxhnbp0RRRQrj/WtR1pIKHDLgIAE8cTpjAlh2HGzYEKBA64sYxLQPL+hKVBTdo1dS1Fj3/ucbz9z30vAOC13/AO7D/1lL2ebhf9Gxb0+3sM7v5ULUWXnCIrWyewxuTm5JnnMOGUs0Geoc9T/y1j70mp587R6Bw3R2G3QOxvTYT/MUkUhTh5/BiuXLuBjNmgNJ1B8z4GQYgoti0wUxY4oGLcddI+p98wHUJRn+q6QEx96lE/ZteHPrG+0whwVNt1mIUKSdcmp9Qkg3HtqeQ2mhqJkPp0+9YKHqM+SQhMGXyjYY+7Xov9RLx6qbHCdb8scyi2WErl9Emgxue0UAbCTTxSAVLyCQwrTtU0Gk+ft7ySRzaOIL339QCAtRsXMWFCJtF2/bfDNiYXPwUAOLq+jlBZ6P0km6DiffslJmO+//JLeOKAnBdhDSu7NuC6PnwBii0AUwncEPb9v3jF2pGdvMLmEZvUGPT2kJLHQmvzMjqSsix90UepwCcvpFIYjSdzTqZXW26dqmhfhD87z9E156K8/axNmr6tSiHoy+Oq8oHvgKea70y879tvBthgDBDGChHbVdU0g6G96HAS40wEkIzjzqx38IeklUgCIK9zshL969H1GDlPrZlKJLyeq8gQ0qflbKWJIBDwfOq1AMUo4xUJz//n+G5KXeGa47aCQAqXhAuQ8JlxMdxoViHn52MhUZAfxdRrfoF/e2x16jtbDQT0YUlmkB21+hFc2wY4Hfhibx/RjrVpn+IkxnMnTuGTbCW6++6zmPAYQkqYW3RDSuntgZBinvA2BsJPHc5wGCKE1VnHK2VFzf/okxM8ZxXhzhO0TbOJt02yKtGmPvWdbdoZw7Dlq9cIsMH1jeIAEX2dnGR+A9td0CdF23TbegeP0DbVhMSMSaZNfn6jnqBkYr2VSj/l8ZrIva9T9F+BASLqbhUAcBORVYAR7ZQrRiopMHRFBQ0/ob0OgTptXo38OT1EqK3YZ+xoOMLgso2nGyePYn3DFnh++vNPAgB+4EQXz+5ZXQlffBENxsuf/Q/vwT1v+zp7jIsXgYa9x+ItlnfwR7/6jfgffuRvAwCOHNnA/aSE+NgnHsGZU5Y9psaExU/+9M/gttvOAQBW19cwIM+xeBV5Tf/ostDHeCt/oIhw2502bvq6bOapRKKqQIu6NOQJp7sTxNy077cCrJJLJowDhLRNjUkG1+DUoi6lIvRcXGfXO/jsVXsvSimQsZ36OAus9XoMqijaqfJtVjdUAckYXDEGD43wtlIrAcNYJgwU+jMWd9yVS4Eb9P2xFHYSOoA6gFCT0ylyHI+VjzubrTYMY+VJGCJgHP8+tiW+pd3A/tOWGzA7chzrI9qYyRSKviuNQoxYvPhIswsAqLAN5zO00Sh4bje1w99EAWPmP17R/xyGGO7pXNukWIi3xfw8uJ8TtRbuPWptwldfH8GwVTCqSrSpb9yCIN+bQNHe7dYUNlk0y5IAAe1LNZ77oxZjcMQ1hPRzd26F+OQlm7QJhMCYMdNtbM9u1hIYN/V1VnoapOuqhKRfdVumwAhEbpqlBMBcQRwE2GOhaKbna+NsVIh5Ei6CgOF+LmJ+4PowxRpjOBv/0cavdtDmmv8O236/42QTn/wXPwYASDrreI68lG/77v8Ltu62tuYgTQG2qidf/zYAwFsefxo/97P2vUZXvoCbFyVWOrb4f3Bg/fILzz+HO++8E4BNfrkrCsPQx1L6S3B7L8c6LWUpS1nKUpaylKUsZSlLWcpSlrKUpSzlT4R8RUxdXBQpFeqNFqazFJtbtkK2t3sDiUOQpJmfKpIzi53ceQQPEYq8sTNFvm6huUZX6DHrCWbdw2bsK9/IckyZpdWzAn2iTSoBtJjt1MyADqYFUiJw1pMIasMeo54XAFsP1zcszD0dFQgI1Q7rIUZTtioYYEu6VhT+HcDUEWxnFRJmhRUEApK7CdfuIStIVppXI+PbKg/yHNuE7nY2bAXn7J134oDV6tBIiIFFb8mojr9/xVaV3sp2OLU/wEvsAju6toYx8c7Bxjo6nISQTCZosILy/ygssue9wxECh6uE8ZMSykrPKwBi/veCEERtbkZXHXohwOhXqDi44y/kgqkX9btX8Fpe69ZBhoqTeQpdYZuIPEFWQNWMURK6HpQGE94P184BWIRoQt3JHbpvlkMSZroeB2hvWuRGvaggHDKwzclAuUDXTdOsCQzZYggjIJnh126CH+DvbVZpVEQTNLXwSILEkQAbg4RIsRuocDvXtdQS63y9tmmrf1unz+ClRx+1n6+3ERL9MDYS/+wJW5G8bYMkhG/7Ruw8bmHTGxtbwCcs2kJ2O9gkirChBE5fs9XYB3lP/uHI1VUsCa9rzdvaOupbFm/wuTFaIye6SywgCMuywsH+wSFN9nRtsPwduBmCLwJPsOsrTM0uXtMhEfyFAcp12i4DXB2TVJW6FDRipK7tsNQYc8qryiqUrg0HBhGrkFMiCftF6ts415MAJ9nGXWWVn5ZSb3NIRaZRo62Y1AKMZq4NRPgWbGdvKsA/JlmlUfEfjUp7XWI9C4UBaqxcCQMkrkBrDGaEISe8zigQ+Oz7fhMAcPzoCeT9Pu+lwP/n138HAPCGIyTtvX4Dg6MWHh0d7GPgbP6p41jjxBYtBV5z0rYu3nbBts/+2yuX/LpIYaAdqfQrDb+4Fc1lFn85PONUlRUOej3cfu40Hn3cotp0pf3gBYjAt8DJwNoCdWIDr6kRAXh+hnSNbd8QuMypigHRuUEzhptGIEqDAdHrYlZA+6nBAnX6nIq2sD8rMCbiYbMW4q6jFi1t8rk+NWmbVGbQcpONI4WhQzoZ4VtvXSW8MADNGNJK+3OoaeOtMC8NJaTXp+FoHwfXbEtzvr+LDknTNdtyV4+E6BpbIZQyROaGecgafmbbtuw8zAp9FNVQsM11a20D8XlLUl/fvoGSfrGMA2yxZe0f71kf+l6VYIvTql58/imPJg1D6S+woG5WReHXsNKVn5oXBBbddWjtQbfq8cuGr7h/0zZGbdxLxHpzd4ZiPeZfNa7cokuqmaDlUKylxpgxT5iWfh0rIfxk6pL6M0gLjKh3G7UQD9E2FVkFTR8Tez9nkNBWqFqIEekNKmOQsLXQmdXKeL5wpLPCm922lBjzBjvC34nWaDLOK0uNGu+DgEDqaCGKua1waAyTV34qo0k1fnXbDsJ4gJV5PU5xcWIROOdOnUL6nJ0eXLZbiIg6bErg5H2WyPcvXbVoi6/+yMfx37zdtnE88eQXsEa9qsUhjhyx8dtLL71kj1Hpm10N/xHFiUcVHpYYbaCrHBEnegeBwpRTkyGa88Ug9UTt+BbupUOIrsyQUZ80gCvj+ZRXAAiaCQxb5YXWGNOnBWnpW6OMFKjzdc01G6UFZlzstSTEw06f0gqGyJdax/o6q09sU6oF2GccboSAoT65KbKZAZRDCFXao7Q2IoXJbD41HQAmxqDlfB1s3AcAs7xCTnSdznmOa7G3C1tHTkCyjUmNMvyzZx8HAJwhRcnB+YvY3SUB9Oo67jt+wp5PWWL0qH3v9JFH0FklGT+RHP/fsIkpqSZmWY4PfujDAIA77rwLr334AQDAb/3O7wIATp06i4Rx+qDX83F6LUkwGo0PGdhs8DL4qxf3On82O3ioy8mHL6Uo1ojUhsDVibVNESd4qkbkB4zpUmPGWDvMSj+NrxQSHRcv0DYN0xwpj7eSBLibQzOQax+D12ibktwgZNw0TRT22KZVGQmwVTIJnS7NW2ozbaAcgtTM6VnY8IOZsYhUAIiEwDrtpxGWiBwA2g4ZHcCDJ2eTHJpxfPvIKv71p+0wgjvW7POQ98fYDa3fbl+9htkxu5eOX/sAiqctmXjebqLJe/FXiH79SSH8QbI0RQbuNWDmSOBbaWCAP0Y0lz2WMTkgHHWJnuuNCj3STdDvtt+0jtc44NX+DHpBl85PGIPTz8lmjJIQK2kMhvxdzwpP4VAJgS7tUkUk4XiSIaWBaMUKDx23975KK4DDKJKu1aW4AGpc20FtrkvaCBiiiaUbrgJA8H6nlUHgJnAag8xNEaVbnxqDJu1SAOF7abUxnrhe50Q1BhJB5fZMBsIhXCc5fpaTEs+uWlv2Yk8il9amvu7UGXzV/fcBAC5+6ENIz1s/deFDH8ApIpabn7L7vb2dG/i6t34NADu19NOffgQAsNKu+/3M6VMW1Xr5yhXk9PcnT5/GUaLnn332WWS8173+F0cuLxFdS1nKUpaylKUsZSlLWcpSlrKUpSxlKUv5EyFfcYiuqqow6PcQhhEGHJ2+sXUUBySKXSQ616z+FVf6KNfJsVAPUR/aDGnelGgyQz5mJSlOQj9eulspSEeIGyk/2jxMS+Q9m8mWm8zy1xRWWcWUhcYK+3xFHGNI8sdBn2R0poKpuRH2BoKVUKU1Ymbvp6wCpNMcLXJj7E9mvuK9lxU4dbut6PQvv8BrL9EmKkLoCteZpe0kIbQbs7xnK9jHjhzHlbHNtp5+8GHs922Pdpa08caerf68pjU/xx4Rb+cGY1xitnnrxAls8l6/+NhjCMg/NSaHz3fJCD/Zs+siID1iyxYeSXRnHFfJnCDQkujPkS/z/u9D5OoS/sxwM0pjsfecZJXXUhR1kpE2QsRc17ylsEJ9GjjuQyWRkwcpTAv/dVWkUDKj3sgNJEcBy1Wb1V9pxYhZRZEFEHougBrGkgi/mf1MBg1DZGFZVpCObF4bCPJ56dyxbQvfp10Zg5jXVFQVaqxOzBzhbSBQsOJVF8BlnmMbAeKAnAg9Syh7/qCH0/fY6mAjiXH5M48CAA5MgNeF9precrftsY6qDKde91p7Xk8+i+21FQDAqe4qeiTePUgShB1bfQJH2f+/a0fxj/u2aj6djOZ92lGIGasebRLX9/t9j6qAmOvX1HGqmMOATZj5f64v/ibUhMZNHCYAkOaIeF/RiWEWbNMqCSlHDpoQKkzd+PjcWPZJADqSHrHWyg0E0WqGSLETnTpCrq0oAMGKZr1ew8TrkkO/VZiwEpgWel4K0RqCVaScKEEJgcLpkjbw9bOq8uguZ3dMKJATYdqQAiltXkNJRLQh0l1bpQAOYvjYL/0SjnQtouH6OMNXr9iq0AbRhaPZBCeJPBV55RG2ZjDCrkPNSoODx23Fe4P68Tc2NvG/717mpZlbKo7O9twElXhlORQ9siKVRLPZxIsXLmE+FnvOPWe5dxwMi7pwYwi5QR6GlRpAvqBJU2Ld65P9SBUoPyhjRRinTihDiYqIhmZhPFu8oG073q4hoi7IEgD1qdmoYUJfV9A2FdAQRCSk+ZxDRGvjq5KzfI5uTfncCGNQc7apLLHH79O0iakwaLKEWpcG289a1Gi9XkdZt+jX+87akerbl7YhI+un26e2cOORT9t7kku8bcv60KNV317D1jrkmbMAgGtXttF9/UMAgOh9v4d41dqp2ZkTUI98/qZ78j80Evw/P2N5lZSSCIiCS7P05eiEBYSpjVWIKihLhGGIijxkfzzidFy/HE1RzNDgKPmiFkCR56psSqwTQT+kfdCBxJjPcdtUMPQbVSBQcZ2auYYmyjZY5Sj1ZoiEz6wuDQT9XKdRw4jkxjnJb7U0PmKd5ZVHiiWBRI1ogh6HJNQChQPqbScIQBeMQZr7e+9GsQdJ6Me2r4UKThuNkAhovx04ycw0tEPdSCChb9rvj3AHuXbuWiVvnjYo610AwGqjib2W5U5Sz72Ixh232/uXztD//GMAgNa+RXn98MlNPDK06OWN9TWsUe+CIMD1G5YTbh7jVn696vUaStr+6Wz6x8IraLn6GBflhbfhWueAokcgmqLoTdA+Zm11spJgxgEpVUtig7Zp6NDCgfS2qVnMicCtPs19XUnkuFqzirFZDxC7yT5aQ/H5XG3UMSDiJqU+VdLAMKCeZpV31doYKOfreCyYOb+NMN7qYm+c+mixcijlKMCM8dZKID2592Y9xgF9J1Ueo3GGe+98CABQazUhdvr29es9PMyhQg2iyvalwTl2caw0mvgYiZrfeO52f+z4yFE/IKpxu7Vjf3GU4vGHvxUA8OlPfxLrq11ek8FF8qaeIH/c1371G/E8ics3jxz1iOHpdDInGT9MecXBPQa4lSFsOoSa2ecpaseYEWFaNSXWY2ubRt42KQx5T1a0mQ/FCiQq7hE7mfEDsIJVq0sb9RCBo1StDJSPm0Jk0n7HjOgxExjfNTHOKr+nM0Z7X1mU82twcZM08PFPlhdwo5IqPjMqCVDQNjVDhRv0lWu12HMU5u7e5EBF6JoOcjT4vdufeQr3jux5Hm1wf6k0JnymjiURDohsXonrWCe33ziKEQcOhW/f+9dvvwP//Flrr4SUaDNGn00nKApHRr8grwjkOmw9IirfOJR+vBCHz/nT3GuTZ1OI29lJVY9gGHvqpsQm/VyPMTECBYeTbRaVH6SlA4WMz3arNMgK+x3dTWsp6rUANEUWuMh/dOp1TOjnZrRLRhoMeLxpObdLldaoOYQp944S860GjPEDFSZZ4ffNesEupdSlbiBRMZYKxTyOz7nHjsMGmg27trfddTeuPWr53K49exH3kwdzpWHvxH5WYJXHfeaXfwNT7ufuf839mHL4U/fsOZzm4DJ85KMAgG/qDfC+FesjHnv8cXz7t1ob9d5f+WXPOXuKiK7jJ076gYN33HEHrlyzSOmiKDHoH+DLyVdcossYjSzLIOR88snB7g10V20ry8H+wbwNhaIroMsFfiCMUTFpc1ABN7RdrJIb4TAMvCHMIVDSIdUkoAlvr4sQmkktM6Xi1CIYRkNCWbg1AOxNxh4GXTDgT0qNjEza9U4CzQRQQyjsje351CI3adBgPLKKtVFPMJzSsXeamDK5J0nmvKY11jjJSskAJaG4VVmgtWLvT0aHcOkTn8GZr/9aAMAXPvJhVAc2gBq99BheQ3ir0QxswzokJ7mUKsKE93ewt4eErRvnanW/59vlJtQCHAnxrYeYTjldSQjvwzSNtCnNzYSB3uFhTrB6SGJu/t/8HLyUi++EySusE8p5f1JHPrO/7+Xat4g6fZKBhLNvUV4h54Y0NgIV9WEvLZGQFFMTwr/aqsMoF2QLP01jLx1BUZ8ywlDr2iAkTDuqhT7QEdU8weUc4LQqQH+MMA789KbMGKwwqyFduwYASYj2bFphWBAWGwlw4Ab2OLX0uBa4fuWCvXahsHGHNVA7H/5DfPOb3gAAuM5JGp9//go2H3oYANDZXEM2scbwytWruJP3rZ2XeIKEhKcHNvH6wnQGw41FWZZeRfoHBxB06iGfG6UCVGwJkEJA+Q22PKQkF2AdrLBJCafLzukC/OnH+/HPAi3+elZGyPixXqlxg1MB3XCNOFQQrrUjr8BhPIgEkFJ/LuUpVrlmFUlyu0nkWztkILw+7o+HkE6XCJ+OSu1Vv1kLkfvEg/CTryra0mlZecJnGQeo+N6pAVYYIPW4BqERUNTX2azEmpvsGEiUDOokA8GtGZB1uF7jPvYj+3tte4jXtezZX2OLazQT2KfTy7IS19hKfazUOL1mbV4NQKdmNwjPM5F6vixhfGPlLS0+7tH/shvFw4XjF0WBq9e2EQQhuis2eNjb2/f2vtLCzzzQC+faZWR0UgpMmWQeVhrbvM7KkZCGEiJwrbAFKgbvkVDIqE9PpVMcIRm4YVB/tNtEyKKGMZUPuPfHQz8Jz/m6uDIwnCBcr4XIaR8jYO4XczfNs0LIe6riwF/TgQaOUV+ucWpwQwpMHZG0kWhyE1IYjQe/7hsAAFf/wAZUD3W2sPnXfggAcPkLX0DrtN0AZi9ewWuU/b6L58/bY+2nfhO7eu4szl+2ydD7z55B/ardDHSefA4D2psJN+hPFCXyyt6Te+44jZ1d65vTnamfLOwLNgtqZScuUv+l8O89HHHHcudRwQ33sD6XdnEhOd/k+Zyr1TDjvR9VBjuatok+arUe+TJUUFYoXNeaFCgZKz2RlThCInDBOOZE3PSkwaGCT5bvjIfQtDdTbhRrxvjt7kq75jdWQgvM2GJSunbtPEOXvkRL4edsaaWwxSLjFW4syrJEyNiul2lfWAyDeTunoY6uTTQOWqSPUCGmXLv4YIzXn1jjd9hrS/ZS9BIbN13b2MDQxXntFmpsK1yZptCcJPl8aRNkTx4M8OFnbKtyLTK4gyS8UkpEfOAF79Rk7EayANPp3I4ZCEg/VODLT6X6zxUpJJKkhrIsPal/ECjfsq7LEqjc+bDIWpRocgGPBhHG7N8aFho7rqWP1xeF8+mWQZF70nghhC/UPJZlOMp1AxOcp1YavoUqFPDJ8p3RAJqt0rMFfXITiKNYeV+XQMLQx81ca1tZInTtT1EA9wwNDLBBPcu4vnUhoEhCPRkXOMvEp5QCGalSCiYkj2QVGvTXvauXME7sMa7tXscDJ2wLYs7W0HxY4szX21af2WNPImk2eG1DRC75Z4xPNuK2O+w5XN3B7sDqyZEjR7F91bZ5j6aXkM7s69eY6Lh45ZovCt53771o1q1ufu6xJ3wx8Y9HXNEQuMnPLkw+79BMHQsjjKhX48rghmGrF+1Ypx5B87vUMEfufpcCkon1R2czbDmaGu7BTq00YWjnAwM/NXowG/kJnSl1qUq1B0hEcYDCJQyM8ANfJvxZLAxBQxT4qbsTI7DCNqw9JukjoVCjLg2GGTb4e2mMYx1AQL1cnWikJzfs32UISX1sXdzGa6lLO7SZjX6FobS26UCF6HOveGM8gmbRczXLUWzZ77vet6CSnawEpD2Hel2hSR2sJQmuX7+Ol8sr+bPFmPgwhElEVwzQt9q/m89JpxU6bE0816hhyP3coKywy2SZ5nepUKJFu1TTQCacLsEPNnhiMMM6f3cAknuOdL0+xmKuSweToZ/cOHNDBSoNw3Os1RSyyrXaC0hHUVI6Xao8+CVKQpQ+BhfYoq+9xvUMjEGNA15GkwKN0PkxiaajT6ATL28MsHvarm1wsI+UuYBxFOCuk1aXauuMr4sYa6tWT+S1a37Az8H5y2iSMmWlKHGB7fpnmbB6YXsHT1ynEkvpifADKbHK2H0wtHvDKAzRZw7ihRdewFvfaodv/N4HPoStI3YQ2fZ1m7R/JVm2Li5lKUtZylKWspSlLGUpS1nKUpaylKUs5U+EfMUhupwYrT0yI8tKT+4ahqGvZGWZre4HUPg/XrKZ7HvCKWIiHcbtGJoVyYTZ/HSWIySZqFxJkLLyEmogcaSS0nhUxMzBY4sKJds2TCAQOxL2okKN2eDYVQG08USpo36KFaIp6kJCskL8LFuYzrVqiFl1jyuNmOc7GY+xL+177zp1GgAgblxAjeCjQmscxBbaG4QKklDJs/c9yBM2uHbRVqujNMVgyPGyq22krBo0VyyceeX6ADEr+Be6bayz/ef2nT30btjK9aUs9aN/XdvSp2ZDGGbEp5PC/922LtrTEGYhu25ca6OcV7a1WUBY4BDELCA3vlg1na9zVLguEvwb+yvu6/VRoz6NOhEMF9ZV6VShETGLnrcjTFkZNsagwex5ox4hZLY/5/r20hz1wBFPCg+LVlWFRDl9YnVQCHASN4qsQouVAZTAhGWfjO1OgQEUjyXzypYiAERKQvLcI8K5TRSgwWepiIUnWxxVBlO2Up3IWRXodrDWsqgTs38D5VWrF6v33YXVu88BAJozm3m/8tkn/Tjj4XiM46yghZXByJHDxjGOX7UVon1WTR4PDE6dtDp50B9gyGq20QYTVhEcAkGI+bJprT0mTwYKVTFHUby6sqBLi8gMNxJ7UX8drFpX+IlLtlpyV5ghYSVv3Ir852qsDqHQiIk2mLYiZLRNpQGarBZu1GMPhS+5tjtpga5rvRHzKlRQadRYRYmoS+NK+2cvLTRqrF6JSvs2jil/BkYgdJCivPS6pKTwrRTOwYhIocFxzlkEZKVrbdQIeb7HB/Z726sr2Cns2kYNCTO0FSBxcguGKLfNDVtVauYhOsraq/72DbyGz8GRlVUMqfOyVkePSK+ASIqPjQZQ0t5r3wno5D/LzhweAkdrg1maQckCapGw3D2/cmGEdk5SWF3Dv7MAN9yphl6fhu3Qt1O0qU8q1zC0TdOmwJQIq5oxHnlxspF4/+X06fo0xTHXEg2DMZw+Ga9PDqVVQvhhHLNCo8HPCQ1MSlfpZvu6mZNRi6JC5dAdSsDQDq1y7nbcqiF3LY/aoKxZFPI0n+GZ5yyZ7rv/xt8FADz7U/8e6hFLdHr8q74aO498EgDw6I3L6EfUEfrYU3fegfHH7d8H587hga+zqGdc2Uba6wMA8skUFVGvwdgiCz+pDbps9b927SoOiByElAvAQHHTDyvGExDHSULk6WHp1K3fvdgSpGxPln8dgJD4iS/Y1vRzWzVEvN+jdugRtA79VKUVVMv+nrYTjOgTrS7ZYx6vRXNdop5cnmQ41rQ6WEiB3MGNK4Maid4D2rmsMt6uDvopOq4ltih9i71vy9cGIf2gKCrkDpmhJGbUt5qL/eLA+9pMlMgrVxXX/l4c20n9HdQzIn9a8RzBuNrAKHIwdfu9K7UYa7RN44Mejp+zQzNWGm1Mtu1DqrMcBY+xsmJt2oXpNt78Jtva36jX8LGPfQwAMEtniEKHpCTCSS4glBfcmhICWh8u1YMQEidPnMBBz1ba0zRDwvh1XMwWwDe0TWWIn7lh780p00NI2zRqhx6p3KY+yUIDjMlnLYEJ31sH/NCjE7UINdciFjqUXo6jbvCOAHJ3DqXxviwoXBwOr09pqd3MKBhdebSMQ1NUGnAhvSpKj9hPAoWS6xdyYIEIJBpEdOu6wJhI+EIYbJ22sXrtgrUP9RMnMNiz929/+zpmvJfFagM7jFpcF8YR1UKQWITV6re8C/e85S0AgMk/+jHkM4t8OLi2jVbLopfHP/GTAID/eXeAP/1nvxkA8OY3vxnv+QVLWSJkhStX7R5gi21Fewc9PEy0/ZGNdY+oSNMZwiCE1vM281dVDJ/tRfN0Uyv1go7D/vvfPmnv1ZkVBen8XCuE4HPdIaJFZxVUw/6edYAJY53YaDRom042YiTUpZJ259o0x3HaNCGBiTu30iChLinq0rQ07rFHWmokDimtjY+FUod21MLrkskr71eVEr6d0CFQ4kCiQX+vaiEm1KWRrjzVwEnGTQZAet320YTNJsZEzfbX6miyZbGdsiujUcMafemkKnCM9/rY+gZmN6zN31/pokZaDcV78rvXzkMKe6/XVjcxmdm4u0/faE9kwY/cRN2xuM86XDQ8gAX7J+BRrUbPz4ndBqbU+OnS2ppj+z0EPgYPfAy+Wrd6kFRAwb3dVM51KTLG26XjjRh1fk44uzTJcLoz9/9Ol1RlEHvKI7YwVgba0eSMjeOqt/sY7pdn3i7N6WfKrERBXYIExre481ocos19fFQTGM24f6wMjofWT22NeM+2juAS9/ZVVUFTl8L1JorIHrvoWV3rtI6j2rE6U09qOPta67vUteu4xtboSa+PlMNarjAG/yACDEYW5fX93//n8Ru/+ssAgCNHj6FwMSFjkosXLqJkN0+/P8DvcHiGCsI/0qCDJaJrKUtZylKWspSlLGUpS1nKUpaylKUsZSl/IuQrFtEFwCMPuisryFNW3AQWeC6I7BodIAi2AAD/ul3DX2H1KK00Umaf2y3bj1rsDqGZQq2EgGHmXiuFiBWWSVlAM5MfN20PalGUHpUTQGBCFEIYhr4i4/OOxkCyeiC1Rsle6lRJDFi9bLJ/ttBAxCr41WmOFfa8bkmgx2u+dN6SRx4PJUYROVmKKWYk6185egwzchicH9nM68Nf/Tb02btbdVdREt2lZImj7MEuA2axH7gb0z2LiDh7/DiKSzZLO5xOscZr7gG+933Gn+8MI/xMbrO3SimPSsjz1CPwtCtLQCwUkm/t4T787L+VV0J2vQJv12yCcmDRcv92s4H/tkfC51Jjxobp1bbllzI7QwSumiQkmDi3FfHUoQW1J2Gus4pZVRUM702oBKYTVg6CADOSArss9azUCGtzXpF8wgq4MUhvmVUvIPyk3cwACY8bS4kuqwEZqzezymBMtIGqKhTkSuoEAThZFrtrVt9MNkN23erWqdMnPEfdiXSKOvX0xq6tYm7eczuObHCQwtNPoXbvPfa4//FXcOwEX9cVYj4LCUlX3zzJ8OPn7Yj22++6Bx3yzm1fu4rAVf8XK94LSD1HQAx/Pw6LI+CWKtYitOymv/G1coJiYCuw//5EHd+nnC5VmLLCvEZdSvpTSK56LgxCx7AM4fv8g6LChNfYIbdSqLVHjQQLutSKIowHbjw0kX95hcRVmCSQs7pVGvhqo0OjKiE8+0sFgZpDKCqJlNUp/8xUBmMiBQNdIaiTrFsoKI5MvsRx4ceyEUyrCwCYTsbQTVasDq6hxnOLWpagPlcl9nk9Iwn0qcMrRYmYNrSsCiCy96JgVe1bW038zPCLjyN2txXA4XOnfhGRUqJWryNPU+/TKm1gWFUXUiAiyXrFyqvJp0hH1hb89LE6vj+w+jQqKoxpm87Q12F3hLBhn5cJJEL6PSGE5yCJjcaI675KOxZUlUeIRsJ4fWqHAUb0ew7oN8orbLTsvQ/kXPekEBjy+Q54bVIIZAs0VnVW25NAYoOV0ZnjKApCbJOXaTWUQEm+JalgetZefPg//SwA4IEH7sHaN74LAPDU7/4eAnKRtdbbGO5YbpqqZYcc6N51gPwQcnMDo4sX7TE++VmMWeluGYP4rEVmzOrWH79jew+/PrPVyUuXLvs1vJnnzXGHqAUXI/2zKYREkecLw1deZVnkvrz5lIjmusU2VSlg7Jr/fFHD9/CZnZYVJkTNbLQtCinoT/w6jo1AwOdUKQWwcpyYCkPq0hqRP4muUBCRFEFgNCGBfBRg0HdxE/mSSoO6+14JjPneUhsM6CsDhwiEwMzxCwqBBq8zURJjksb7eSGlRo8xWAjtecdyCAQzuzZXV+351mYlxhyMYGoFFIcOrdeUf372J30AwKQdo8mx60GjDkEurn5/ADlxfHkC+46PNbPX+/Bogt9+wfo5KeVCxVp43Wg07DPcHwz8etnlJVL2EIdkABapkucZxpOxj52n0ymmU+cRNIzbXhD9bYopQATcv2sk+D7+eVpWmHItNvhdem/kkfATIxB52yS9r6sbjRGDmTUSkCemQqld3ASMyInVjQIMae8dGfW0qNB0XLtS+IEEAsLbPBenGwjP56UBRPx7FAg/J8ShWSsI36kgtUGfnLU6ilFdtyiJPasKOFnNcPk5i3SIawFGvCdxI0REdNtsaOP4XdPH/fRj1/YP0Pu9DwAAHrr7bnTpW/MXXvAorAF9wkOhwk//7M8DAB584AGvO5XWSKcWOX39xjavM8BjHNxy8eIFpCT7P3XyBJ597nkcmjO81TYJ/7/FF+Y/TQHNZ/MXtur4Dt63cVkhvUWXgv4UMe3CpJAIyPEmpYQhIqemKwx5/HXe96AsURAVVBlgyveuhAGGDmXudCmvfGwilEDGczOA1+3Adf8AnoMpBxBSl2phgJR2SDrUtgGmubOPxneMVFJhnTp2Y4MdHuMcBwPr7zuBRNi0SrZRl4gcZxRJ6avYoDfk0BOlkHWsnapu3IDkmmMyxZiIregOi0b9M/sD/NTV8wCA69evo0YONynFHBnvOSlfBl6GvwOHykVp7YQbniDm9PNANQLAAXLkkTVphqxv93PvPdLEt3OvOy4rzIgoWicXmdkbIXID44z0dklCeF1qaIMBbdAxcsMqAc+dHEhgRDu5Ggfo0885vuppXiFx9i6QyDmUotTAdIG7GgACIaGIHsu1RuzQW4HClH7KdXgIbXDA4wpdQtFe5UZixrhsuGbjmdpo4Hn/9vp9rJ603Tjr6RRHef27e2Oe1xRHH/5qez3dFewSxWWefwEhdSk4cQKr1N1T1KW3/u5H8J7M2qqzZ07j3d/xHQCAn/qpn0JUs/f7jtvt0BYFgxG7dvYPDjAgZ5yGxJnTlg/6S8lXbKJLCOEngsymE2SOeHllBS5gU1TkMmiiddIarx+OFK73bJAxENoryd51G6SeiOM5bFRJP3VCKYGkzfbGCmjSiI4I529I7aGiea6RkGwumxR+ekxAiL6BxjC1n9uCQp8bkBQGIQ2AoxFVBsgZ0EdKYEqiUx0EaCj7gASc7DOQBuMdQqI3Nz2BcRWEaB+3gXyN7Y4HL7yEfV7ozovPoCTx9+0bTUz2rPLtuSlL/SvocGKQeeoZFDRuZ/ojgJuVG7rECs/6gNf7H2kk7TUDBaGHUgYLsdvc4AWBawgVKMsFiPShTg9yiYiXb0jm/3QkvXxcVID2pr15P4wAVwTb8KT2RJ7Xb1h9OhklnmyyoZSL+SGFgCQc1oxzrDSsQSzcBlKWSF3b4bhCm6TBaS9D6qDyTfv5bkNhNmOAOS1Q0kiGCkh4PsIFadV86owWgGZLUCkldnjsrZY1dhWA/pTTPxGgVndUwQI9rtuqtud11wP347MMlhrNBBEd9eMXn8fKwELMmy0Lj3/8kY/jxj13AwA2eiNcOrB/P3X6FPr9vn3vvfdgf98as6vUhZ8c9KFJFZ3lOUIGfVWlbQAM+NaORqOJESdX2eB/wbEKAZjDcrSC+uJ0aJGYfgE27VVMortun6e/1o1x5YCJCRgobrh2d6wu3dlo+ATDZqgw4rOnlIBkEgLjHJu36FIgSuQOYj+u0NBs+dmdehr2oG0/36grjKlLs7yCIllrIIE64fiOzLwstZ/GUwn4NvBKCt+KUuMzHSoJ8ByqMEbOdYI2mHAzscLEb1wK7FZ27ZNWgNnUBh6yHqIa2DOeXLTPXNDtYrNt29bqBhhTV/ZkjhXan4mufLvuLqdu/lx/gPIV7crCa15HvkSr6yFuKA3ssxqFATZJCru/f4CRm1ZWVSg5AccnR6REg3bhh5ohLvfZHggD6VoPaZtOJTWf910NlR82ESqBgLYpHWc4xiDPbZ41SrjBgJO8Qpt2fzaY+cJRSH3caEeYMLGQlgUEbVNNAh0mInM3ta00PkGeC8yLTFLiJRZl3GdEXuDO9a79e2cdPW5I7lhbxx0Mus7d8xp7krfdCbSt/7r3vtdg+Gu/CABIYoXnSBr/9d//3wMA4je8DuUnbZujmUwRHj/K+xoi+/0/AAC0jx/B5Mln7Bo8+HYAwK8+fR6t1Q7X4hLmeiT9Rt89+9oYb6cgJHI+p1mWQlfV4SW67Nnh5sT7Yn/DrYUegXrLxgU/dLyLC7TNEwHEpEI42LXP6dlGHSWTTW0lfVtqAPi2oXKY4rgrAPGelKL0ba6zTGOFrRWj/gyZS6yzVaRdk0gZbw3S3LeFxBI4ykKPS8bDCCg/ScomlACbnHcT9Wo15ycVNL93vwAKN2qtMn6jUx9zyE+uUbpWESUw43StRiyR8T3yOqcwNxoY1u1rq0kNgZscOJlCMTExUBLNHauDT1O3f3k69ZH52bOncIOTFgHjScxdMmPRLhmYlw3OfPk/XiURlnx+MplgMLDnUlUlbqqrGRfsuPYvBRPb8/+bK3Vc5OTyCeCrJzdom47Xar4dtR1KjBjexKFE0LDrPh6mOM443OlTgRIF/cxsrNHh4I7eYOrpC2LatpZSGNE25dr4jV8kbaIAmNum0hgExrUgApUbFCQkUtIQ1Pn5jVoEwWTctF6HZtFHBiEefLMlUb73rB0w0Ky38LP/5B8BAHazgY+HW40ER0my/M4f+JsAgLDexM51G2NtTHPc9eavsteTVyg/YFt5TKuFlG3T11ikeqbWxFfdY9/76GOf89Poa7UGJlMHEHB9m/MixXg89sng7WvXsLaygr2DPRyOMAa/KQHiNvWLSbB5LN48av3+X2/XcHFgn8OZgNcl5+fubLf8xMNWKH0raSiAiLowLDOccmAH1/IWVCgLR49TYUNx7zScgi8jZvK/lUiMuaertIZwbbLKHhOYx01ZYeYFVyW8Lhkp/GTrNm1QEgYI3dC1HKgi5z8VCg6YSmh3omwhsxRJTBkbZFWBNuMiBeuj0ipF2GWxARKzXbuucnML6gXb2jqoStSoAJc5Efbnt6/6pai09onQoigXyN+ZML4lmeUTT0Icjk2i+N0cT9QIvRCDA3Ct1IIFvzDCynH73h8eh3iRN3Em4Yseu/Rzx5PEx43WLrmEt0RC0MtkmOI0dckN+xrlMyhHA5NV2OKAiYO9qW+VrzFuWw1Db5fStIR0iVlhUHcTZXk9aTkvYkOIOd2DlJBMvCakDFFS+Bh8L5M+0ScNcPvDdmCYefECAGt/9gfW1mx2W8hZmApViStDDpWL7X5updPFlC3V9912DrXjdtp156u+Ci/9i38NALg+m+Aop70+xRj8p156CbPcftdLL72E33zf+wEAzVYHCQE9+7u2uDgaDr0+tdtt73PWN7dQZ+L+S8mydXEpS1nKUpaylKUsZSlLWcpSlrKUpSxlKX8i5CsO0SWERBjFUFL6DPL6+jr29kjCFwR+DKVrixMhMLrIKtsRiXplM4N9CWRM9Lpqz2CYYi0haTKAlBlQYYC2a49SQM6sf0kS4Elaou5KIZB+lKiOFCQr4ZUjQQylb1XrmwogdL0RKIyYeW8xe5kXBg1frdSeSFprg66Dipb22q7tD9GKbWb1xs424hXb3rPelBDMILcToj2KEteft6S93dvOIarbincpA0TZVXu+OzaLvXnuNuw/YyvYzVmONY6xHjbr0LefBQCc+PRnsMUs8yVHomnmqCxdVXPUMcS8b2BBSsfa6FEx9t03ExoegjiY9GIlfRGp4VE4vOFS4uA5C9tMj0WI2WJjpPBoKzeifjRK0WLVpzTajwcv8goFq1MKBhWP56DCHS3QYGVKK+XvTS7nsOeSVWitJKQrEEnp239CI0FV90jBTApIhwgDkFKfEqMhWPVyZJ5BqbFKRFhalwiZF08AaK5tSd0c93poEmE1GPUhWJGIZYSz5yx6q0fyy7XTp9CkrqzFCdZZ0c5OHUe80gUATD//GDYIVX2W97K11sY9J2y14Jve+Q78b//oH9vrN8av15htjpPx2KO8zML/X47ee7WFyAhfWjcLle0QLxt8IID+VVuBnTU6iJzayXkrsIMeD4cpgtBWOnIloRxEvNSYOXJso/0o7SlJH1sQqDsVlvMx6iMJTyqtCY8vA/hnsymEb4O0VTjC6X1RSXrbFkKgcG0eBl4fHdFqVVQwtKVGCQSF9NfmWgZc9ayaFVCsnqqaghzbyuR4UGJ1zMr9yL62ceYMZnv2/q2Npmj1CaduA9pV5gKFVd7WmUMM6ZTE3yBZ7Cvohwe+iJv/vggff0UIxaskxqK2YAyuX7eojjzLoJRz2wol0QJhZPWiNBLjXYuAK7va65OWQHEL7H04nKFVa/JzlbdNVaFJxG1thBsuMpja57ErpScJzYX0pnwsDJxLkrRNJow8aKglhB+xbhYGFkTOzgWAK6aHEHBNtUJrCMdFzIp3CYWYfeAH2QTNFUtNcMdDb/TItcpVsa9eBeRJe74XPo/2n/42AEDwW7+B7SPW1z395JMAgPu0ARwh9EEP4ddYdBj++l/BJo995QMfQvO1DwAA+pmtTu72t5EZizCI4hhZunivGWQsVLjzwpHjzhWnWkQxH4a8EvrQvxYuoLtchTjAlMih0biG0Ps5z7fukVKDwQxt6pKBhis8p3mFEq7Nda6D3s9J5QdaBIFC5WwTjG9Ba/JgpTZ+fHoMIPfgLYEhIRYhkRS7RYljrISHQmDE4za1RkG0WcX1nM4KCDe4IpTeD8ZCIue5ab5XZBWkQ9ImEmBrXD4pEPVIBeFoKfIMwaq1PEdrNazU7f1pvO1rMXj2OQBA/3OPevqAki3+WZVhnX5wNptipWt/P+j14MShsmEqSKLgtJnHBoeLggfiOMaZM2exff0GplN7Xkop3yQUhBEKB3sxcx+S7RGxHBU+nKrUHJGaOX0aztBObKU+N1Z3AGCWlSCYFBHg0RVj+rqmEJD8jppSXoemwiIXgLltUkp4lElijNdNKaS/j87HHghg3XVmYN6O1hL2OACguT/YG+cIaJfLuEKzYVE0Igjw5Gc/DQBIlY3T71nbxGvebAdefPSRD3g/PJmWuOve1wEAnvu9DwIAvu6//UHkRKBOsgHiuywqDPs9BGfPAQAuvuc/QRKpMT1ibeKjTz+FFy+/AAC488478dwzT9t7NuvPUS+YyyzLF/5Fn1BVKMsRyuoQbZSQt5yJCzTE/HcnMsD4sm35HMcbPj7WagFLz4/0B1OvS6WZt8rPco2MulkTcz/Xd7ZJCX/YSCmUfO/UzBEiDo0qlfDoHWXmehlIBaOdfbM/d6Cx6gYbwO4zAUBpg4p71oxI+iorfdeMDgU0nymthN+zls4nTgsI/l0mEpLtaPUKCEmvMuWwp6jZRsT7cDyrUCO9zrS6jrhj/Viz14dOrI/tXbV+Mq1y7yeqslxokTZzepAvIsLv48yhxk0v12gAboiCkPBpj9z6eVlL0LtGpCxm89bncL6fc76mN5ihmzBmEvMOrDSvkNOg1cUcydVja3BdChwwZt1MIt9W39fwvhKO2D4QfghGgnnLYxxJ76Ij5+dKg450tkr6mElpjcp1BDGfUWUlKto+GQqPcoyDAC+cPw8A+No7aVMuX8fx2OYKdsMxdi9fsp8zwG2n7H5uxhherHRxncNVgne+Ey/+4nsBAHecPom7vv1P2fv367+J8ppFZ+29dImfT6G4UXjPL/wCJowvwzDA7o6152vrthOt1Woj5XPZajRx7IhFk83SzD8zX0q+4hJdxhhUZYnCzKGR/X4PGYOE6WSGgAGwc2Imm0Lwgf3XQuH7JHmwtEDhxtVRcUwjRv+SfQAaJ9sepq6gMMtdv7ZGwlaK0DnzcgGyWWpIbm5VKKFohEtOAaq0QMtwcgM0BCGvBzH8Q1bxvXFu0GcAFaw1oaicK0kIzbaydtIFAKRdBd2wD2G6t4NkYjd9g9kMqxtWMQ7Yc3J2dR3dYxYaXaYlFB+R6MhxFKetkV1xQ616PWy8+c0AgNruHjZXLYeJfuFFbD9tnaaMQpAaCr/pJiYEoYeUB0GAPHcOVPrXbxJvmxZavMSCizvc2O2LGF+B+WQqnlOeAuTb+LedEH+OEPFmBWRcP9ceYZoJxhesPiWn235jECiFjMmgUJh5XzyTAXUEzr9BFtrzdQWBgBu3IgiFrUqNGnWsUhJNfm4iDBQNakYYa62C29ljHAfIqdO1UKHG76uTM2mqBMYLDjmglZVGIiE/VD6ygdfuKMOUrY3h+ho661ZH8kmOyy/aoH7ttDWQt991Nx773OcBAI3JDB22/KpeH322b6hOG+nM6uTP8vbv7g/w4IP3AwAee/Ipz8eVzWb+WR9zEqNSASImkGezGW5uSQMOTZmc49cuAFJweqONXsiXOMKGAuBkrp/WAt/FxFNSaRRcu8QlAhoRZpdtEqN+uu2n6BmpkDI4DSBgeD9ndJxdGXi9jEvtdawWSh+8udY+XRm44WEIlJ8kk0kJ45KtTCTUynlgVsQhMrZrdAKJkLqkXOCO+QSsRApEwoUjAg06YteKuaq133iOLw+h+HddCVS3nbHHuGyTW72r1/z0nPVGE11ec3bQQ8iE0FathoAB+n+cuWZNgeqmwOwVWhNv2ix+kb8fIteEMQZlUUAp6f1bvdnyBZzV1XVcvWoTYMrt4oxGwaDuJ3Pgu92E1lJDuFYw1xLYjNG72AcAdM90PR9NZhQm9G+xAEB98jZIC99WlhiNlImDUEoEzge6hH5RQbnbqBRq/L3QwnMzuQRnVBo/5TgLA1SkI4ijAInjoRiz1agW4OMvXAQAnLvrNgQHdtMj4xpCt+G8bv++9We+z9/T6PN94JLl5ao//CZsXrEBWnPL+sff/+gf4Bv/7o/Y63nmAsC2YXzg/Siu2ACt222hfvYMAOA/PWXbPCBjzxth4xK3Hpj/7vyHAbCYkHildp1DkVs3kgsiSszPz72nBIS1ob84K/CtzDZEFaDIGyJcTNNIsHehDwBYOd3xyfBAKc9pFcPA0KbnLm6S84RmzRifHImlRIA5zw0AVGUF4WILpXxCvqqET6Y5DretMMSEyQYTh35DWovsphUAxIJtckkOU2lfYMqNQJMbzlLxu6YlJDeuo0t9dFZsvJVPCoy5Y2nwHCUkxizipLUGDkbkGAkD9Kn763fegdkLlmP1vdyEFOU86bm9fd0ntYSYc3Q5nVFyIYTXFb5kcuBVFGMMiqLAeDyGlHPOo5j3K8tyb09cIlxXhdet98gQ36Tss5xUnKgJwND5VPUEO5fYnnKqg5KXoqTEjHFTJAwE9SlzPk1IP7FMLCQ160r5Fh9X4BB6XpCU4VyftAZSxnwF2xFrxmDMdTWhQsnjtQOJLXIhOUUdR8CA7eUiSnD6mN2sXe1PMeaksuc+bvm19JHb0T1pk/D33fkwXnziUfs5EyAnr9ImKUiefu+v4Cr92EMbm8AnPmUPGAA98mrlSYKEJ/IRFou+5i1fi8cet+3Ym+urOHLUtmNfvnwVTlzBy2jt10gFgffveVEccn3Q3Kyzi/QPBgutZy7DngGBffZ+HsA76NPiSvs9neZU1qwWYft8HwCwdabrp2RGSnm6GS3g4ybH1ZaV0tuxyBik1NGmUp5aJXC2xBifOIISPiFRVkDBKo12Cf0FriUZK6SZK1YFPm5yPHSVksho24QG6nSmuTZI6OdSvhb2tS9iDy700Fmx4IVqWiLnvUgK0ucoheHIxpLJiZOokeMuv3IFUz4HXSGQMy78NbcZERKuEKIChcq//uVszWFv3pwIgLxVlScNM/PjG+3P1SWz9XgEnVtd+oWtGF/fJwdqkSPkQpbUr7IeY+ei3c9tnOl6uxQFAcbkwTbSQKRsG6WdKLTxtAvjce6T400l/djvUDleNoPAk3BJhDz1rJw/E1NnwyqNseP+ipWfpBgkAQLGvzSzSI3wSVWpgZhJpigIEXDK+eeuW5vwrre/E4PnbXI8eu4ZdOn/ymmG4WUb80RWfXD6Ox/yrYSTp57GpuMR/P0/wAu8tsbqCoZMpv30kDG4iKHZ9j2ZTNBlUWg2HePYiVMAgG0mWEfDIba2rB0dDod48QV7brfffhu+TH7VXu+Xf8tSlrKUpSxlKUtZylKWspSlLGUpS1nKUpby///yFYfosiLQqNc8Gf1kPJnXTKVASdJzIV29RqMgAdp6Yw0BcYihMb6SMeMXzFBi1U0puDRCuGKrNUEngCAqJh/OAEewSsK/9miGFrGyUxjstYhCgIFkNt2RCqaoINjOJkrtJ5dJYzBgEvoYqzGVyFEjoWY80ygil5tUaLNt7GDXZpjNkXWIa3biU1NopDy3WRDAHNjK4pl12/q1c+0a1poWorozGWGd05PiuO4JZmtrtvXxmc98BuHEpm+7K2vokqyw/8wzqDFLPStLjIia+7VrJKw0cwLjShfY3LRQ6uFw6GGINxHjLmT9E06rqKrCr/OhirnlH2KhsuSVS/m/65FFy63qxA8OiIVAwKy8q9hkpkTbEZdeHEKuUp/aCWSDVZRxhpC/x6wAjPemUI68Wwj0SRxphEBIEt02VaEMgIyTYspM+1NvSomSOunQnaUp0SGasFMJDF1rYmnQd5dPBKFoBjBcv80kRM61nsJ4tNA6W8mQJLjnbovY+vgzT+HBgYXrl6VATAj1xc8/am9jvYb2mq1S7uc5BNsNN7VGwgp4v5Hg+qp9z/t3bFZ/da2Lz37WIsFOnDyJzEPsDW7WIwu1z/OXQ/Bf/vNwRVclhKu6G237qIGFCpi01UkA60kAxakoCSxCBoC3D2NTwj3+xcUhxJp9RkQzQpP6U0wygETRbhLTwfUxEiJBJ1JgvMIpX0ogJCrOIah0IFEnmf1kVviKZlNIVKyOS7jJZxqJtte2YgQOHElzZTysPuDa57Hwz1FLSlSslE+1tuSsALqEdqclEJPkeaALnOA57s0ypF+w6MCMAzryWh0V0XOXewM0qdurnQ4yDkEIsxSSZJm/ub/jVgZfXG7VDXPz72LxfYepRwbGaKyvH8G1q3aSTZ6mfuBFGChEvI+Fdm2HuW2RBbAZSyjC6GpiPkHMVbRTU/rK4uzSALpj71HYitEhSmE6ThFyspya2Hs225/bplQKDDpWnwohEBF913HdeqH0xPZ5NkfxtgOJNKN+szVtqivUqFubUoE8+giM8M/L+qol5S86DTz8Okugunv+WaRdiyCdpmNsnbkDALD9mc8AAFY/9CGEb3ur/bLNY8AZ2+aDnV20Vi2q2SHm7jx1Yn777z7jJwbiW78D23/qWwEAB2mKzkW7Hv/0MxZJ0WqEmLKfKcuyObJTiJuJcAEAGmHo4odi3ob2pYYevCrySlX1xbZ8hxZyMYYAWHFdk8Ij8xpiXhl2rYQZCl+Rnl0ZoeCkzbAVo9uwSN/ZNENYs7+36B9nexPERFvlSmK/wzY8SD/QQC7YpoAktWVeeRNaVwoR2+JTdw5FiSbtZ1tI9BVRFZWdRgwAgi3ReSR8u3cjVNDhnOh3Rp1tkg29GKao8TnKV1r4tu/9CwCA//TPfhx12rHKUWq8+U2eVDeLIhxje1A+nWGVravPXDyPiO34n3jK0kMEATAc2ngrS9OFmRjmZTQOlREQvn1ILPiVw/VvgQqwtrqKS5cuWeoAWESX62qwaAoiFIg80bpCPrE2eUUlCPloJWLeneHa6lNT+JbW0ZUhTJuTW5sxOiR9Thf0qcHjZvtTi1oGUCiBfovPmTGIOQgjcv3R6hZ9og7EgfJcJqVx6D6NKYOoO+MIYz7SISRmDo2W8b3tOjqbNv4JQumJvNubR9Bne06DLa9XHn8Ku7Qlcn0VZ46ftt9bb6I8sDHm677nu+3BohCvf4NtZ8QffBKP/L2/DwA4KwOIDRu/3/GmN6DYtHH7z/+knbT4jre/BevswhiNxphOHaJi7pON+SI26NZJiIcFzPForlttEBiDV7e8Lu1UWACrsULMrpgYc3SaG8A0LjN/RTcu9JGs2PgmbMXotqyfG41SKO5fOg6Nvz9FRNtkAolB2/k5g5jT0Q1jLCMkAsZgZV6Bp4BIKQjqx8xNUhQaferovVLigDarrMwcjTjmZPVG6LsVGqEE2I5dFBXGHN7TJsq5Pi3Roa/Oul2sEtG1s3/Bx51Vab93mpf+3C8MBjg3tnq5efy4H3iwH4aoGAf85vkX3WLAt7OWc3/+xX2Xb2FYeMkstMkfjlQLLbZ26qLzxwAMBzAEXb4mkG9bu7S62fCo8wB2vwUAuR9EoT21y8GlASRjpqARocshXuNxCsn9WJvnIQ5mCHIivgKJy7RLcRyhkbjBTK6FB4hITF/klUfHJ4Gyvbewk40BSxMw5vneJgWCcK5LlevAoZ8rQnhbXQ8kFM9Ro0J/Zu/PN77JUjIcO3sHvvDz7wEADK5fwzqH1RXTzPu5nHmUe3/w+wBSJkEFaPzVv2HvSX+ECfMRLw4GKElo/9ucXg1ded1eWVvz3TgwwJS/u66cVqfjB7GkaYoWhwsd9HrQfwS81hLRtZSlLGUpS1nKUpaylKUsZSlLWcpSlrKUPxHyFYnoMkZjQv4pvuALWVKqhewdKy0LfFAfGgR4E/mzcgHUHLm74w5JK0/YlkuFcMqR9y2gQWRGlUSeFDBwn6sErvJ7G1Khy4TyIITn1aozq11E80pKU0rMeWsFQhIWhjzlOFCetHxWlJgyoxtLhUDd3GssxyMUrB6vnjiFK7uWi6SsKoxHtqo0yGz2+MbFy2idttWjYH0d+2Ob0V47chQgmqp1zCJq7jtzBtfe/zv2uCdqGD/2BQDAwY0baHCU6OrGGh5hterMKVsxP3/pJcTMyGZZ6snv0tlsXklylBJYECGRM/utq2pOYvhKvF6vltxUrRILhYg5asPRPxooX1n6YK7wRla9Z8agTkSCy1RnWemHEGRKoCASpR0FiF0mPwoW9IncG0IipXLFSqHFSx8roCB3TcrzirqJJx4MtJ7zLRnjSTETIl3iMETBKkNLKfR8pQyes8hVL0IBFI53IistjwWlwYpDYGwmP+6s4sqFCwCANSHxh5ctP85mrYG9Fyy3Tfvee+21tTtY3+/b700StEm2WxcSI1YvxqMRfo/Vq7UVW408euIIjp+wCIwnHn9ijoQQ8hXJd+c9+rxAgFXMBf6HwxJfedQL1dIFLXe/6tJX237nwgwPr9u1mQnjEQkOHaIzjZIIk2mkMCOnxGao5n3qas6lJWkJa0phiDk/U8NxuAUGJbkEnAFUYYKAv0eAJwEvjEHB72jy5AMlkVLvyoWCnjDCcw0mXM9QCl8dG2el54kyMKgl1M1r9lxEJZDR5iWtBgasUpZZjgGJ1t13ibDEaXIATWHQJvGvGo78El+sSnyB3IRxQHtUOmag/zPyx8OpJJVCq91GWZX+KJU2OHLM8knlRYaisNdlyKUURCFUaO33hw4CPFCzfnJktLdN7plO0xIhbdNYCWS8j0ci5W1TFAWoiN5ywYIRAhM/Pl0ipo5UAZCRr9ANGFhba85tk9F+QEBeGEy5xnUOOegmEa4S9SJLPUeyQPhK5HTPIj5PnD2BlIjN/VGK1TX7Hdcuncexu+8DANz/zj9tP/7AA3Oki+doA/S1a0hIvLt+1132xbOnbl6E37Ujr80zT0Oyanny3Bn8Bw4HcP6td7CzgKYxAGOFm3iVFviVinxB/7yvkYeLmoCx6LKb7NECslHc+ssclfN7lwd4zWlL6DwyBnXGGW6N0rSCom0aRBIT6tJmFCBI7HeoKETB2CrhvZJKYRI62xMg4hemEsjo57Qn4008N5LScx5PDY0Jq+wdnnuYRNjlOaiy8mtTGePXI3HccIHwSKJxVnpUtoFBvW6vM9qe+jvjsAL3PvxaZIyVmhtrGD1LDrcTFhUoshRt2hsZCyREIO9euYztDevTTLeDJ8fWpp0gT9x41sfBfo/3d25rlJLz61jgnzGez9RT0UMsoKsOQ58qXWE8HiOKIoREeg+HI/8ICCGgHLJGOjSdhqEV+d3rFe5t2zvZNxoNN0DCIf3SEopoulEokc6sLmyEAcKYyJgwQH6LPolAwu0MZKgQOR4eObdNmmvdaC7YNm182T8ttb/vDX5+NYlwmSS0k6rycRWEQEGkV8i4Ks8UDBHJ06oC6tZ/7Z5/Dg0iT0+ftVyjW0kDggjqG3u7ONi2OhQKAM2uva9je0Xt/+Yb5wvw4AO4v2FRDUG3gykd9eill/AbH/l9AECTww+eee5Z3HevRdv/+q//GoKAHLwrXfQOyEF405AcooBrNYxHi/ssHLJ8sQPMgwtBe2UgPHL5A5dT3LNm12ZoDGJHb8SfZaEREJk1CiT65FI6FikERJnEycttk1ESM4boJlQ+FpIBfDdBzrVvNuK5LhkDtwvNKu0HtLjBMI0kIt8SMCgqj2Y0ZoHQ3u0DlfBo7VFWIQ7mz72zTW0Sd8MAaFgbHdfrGFEfyyREerVvz4cI7qDdxlH63fFsihoRpjd0hZzPrUwiPMLhByF5r4vCdeIQOed4NvFFxKvVYoCIV4zXXx0xgLb31HN033Ish2yHtmuoVeAnLP3OIMRtJOzvGY36wl4KAKbTHHUi6YZKYMR45VQooahLURwhc8Ty7vNSYEq0FcIACc8lNxpTohFdXNZpJX6vHJiF4Qml9gMTKnbq1KIAI3ZN7GYlYpcTMPOchghcB8B8QN8oL303lkaFgF0gb/72P2s/dN/9+JbXPgwAeP9f/+uYMF4uz1/EhJfx1T/45wAAv/dXfxjv+Hv/i33xzGls3mNtzYXt60i4twv6fTxHzswGh9ZMJnt+TYaDAQKi3KMoxoj8cRX1cjwa+U6G4ydOYPuazW20Oh00W018OfmKS3QJWELK8pYJRWKhrczdME94CkBxs9SpA8ho3PLCt3HUnf0QwKxlF73Wzz3hn8hKjPhQJwbe8RYkaFWBQCns7dyrRzAMRCpohDSAMQ3IZhWi7yDejRpSElc2kxANnkbMjUSuDTJHNKyUR3y2u6vIM/s5TSI5WQjkDNx39q+jP7Z/P37iGOqE5bppHnGzidLxOvYOkKX2nnT7fdSpOP1dq4iXnn4at91zj/3eD3wQnfvsRmK2s4Oq3wcAXNnawgUmMk7v2U1AEAqMSWo8HI2wtmadfG9/d74ubuqbXmxdvHkjecgDhG46lj28uPklR5ztoKWigIjtfd5YiVBNeU/LwhuihoOzw6Bo27+HvczrU1QBqZtMGCjM6HwVx+NVgUTGpGavEfhbUkIjWkhaALYFw7VbiDDAkAGilJgTiwtOCRUSBY3hs+MJatyoGSn8FNMZI4VAC4yopzqI0Ji5qSAS+5yIaJpWY2/b2EQ1sS2IKErUC27k9gdY4XccYVJUrW8gmtkWtM5wBMVnJRgPUbrAAQIf6dnvM8l8atkjn7IErDe40bRvWNQd99b5GgZB4O2F8UHTYbV2GAC3Jt4WN5OOhH6BKFNat7ey0kAUMpAoCk8U39EcOmAMolUS/vcytGgC48pg5IZfCIFqau992ORmNJAoXbDUiMDlhxEGoENtOXLLcYYpkxyNWoQxdSktNQKej5u8FEWBtyF7swwNOssKQODaLrkpiaRAKR1xfYDUtRoEyhNMj5rWfnYnAjMGIbXRBLO2vea4NADt14SbYDWdQdHO39Zs+bakaqUL2evb75MSv8jfs9I1gv5nyBclnT9cwyRg9TibTRGTLFYp5SeLlkXpp9QJRuEqivwU31YnhKrsPU106S+h5UiXAWj6umSQg50ZqBuBSTZfnzHbKBpcnzBSKDnadacW+OCqgvHtPzW2+U9HqW+ljcIAg9TpqUbd2TEm2zUU2kxuX5ukWGPgODMaIa+pati/P/vsc6j4ub3pDDXSFGx0NvD85z4LAHjDn/4Oe0GTKUA7hTd8lb+/6UEPN6gXzVsTXADwuaeBr/4aex0/8j/BHNj3Djtt/OqLFpIf0u52uisYj2yxSBvpH3/bMnFzNUdK6QPOMIx8stJ+4OW27NUTccv33wLo95v3hUQYN5OdRsOT2zah/Sai6VootIFgC2vcz9FkEF0zwj+rQaAwGVnbFLNFUUUSJVtXt2OJmhviIg20C3bo5+Qsh6AuBXHo/VxDKay4e0sbJY30k/ouTTIcY/yjxdw25dR3BXgye8SRbwlKQul7/qcNrvOsQNyyiYkrn/kcSrbqrh47iY2WbRnrnLIFxEmagvtv7O8c4Dx9luz1oBjAt7MUv817/MJVq1OdVh3dFZuwL6sSmSv6af3ypKlcHDAg5kWVV5hq/WpKnuU4f+EC2q2W3wQKIRDHruUmxyrJhceMFapKQzXtdTWPNNCg3c7LzLvFpj99A0HbFA8LNBk3NYzA2E1NDKS3TXGbhPihQsXY60asEDNhsLAnh+Br02lmd38AanGAHvWpMAar1L2I71Uw6NA2jbTBGbZMVkIgZ0uN4He1dIGRG4QQBtC8fhUEEIM+AODSzNJ/NM7ejRXXupZmSPm5rZOnEfA5bH/j189v/DNsIWs3kR+xbdxZHOMaY/VsYx3vfc7q0faepXw4dfxeXObUtKrSECRDyPIc8zhoQV/4kh2IwNailRX0+v1DdnkLyZDFcxKBL3KbxcFQtPmddoJ6YK+prDJ/ik3+UhogYutrbZAjZHzbNBIDJqxUoDBh0iLskMQ7lH6a424s/URXJa0dAeAn/E5nBULGJlESYpf7Qy0l2nCFYybsIVCnf7w8zXGSLWQVjG/XdXpZlAYV/WsQhxjTfyaB8sM0ZvSJsdZIWARbPX4CLzz7hD2HSiCnPjfbdt+CJEHcs8mEo42mLzaspTmGLBCklcYvcQ9ZuHiejYB2MRbiokW9eMUNm7j5d2fbX2V9EhBQQYA4jjHjoIqbfPCCuMnx0DNIDnRbXw/R3re6khap30fUHfWLntulZJD7fXobEj03EGphPxfSLiEUfvpmL1YQbniCNJi5YT7Ovkyzebt3IDFmklZLAZfSadIuJUqgoP7sTlKcpp8rMJ9mLalrAgYz+rmwlmBEHa2FCgF194O/8DMAgK/7+m9G+HY7DfaNf/a78NHfs0CXI90NrNdsLFXxer/q3d8GHLN7O1y/AfzlHwAAdD7+CVxh23ZDCPx6Yc9nMh3wKgQi+os77roLN25Y/zjsDzxdkfb7pHmyMctzFNzPTcZjqODLp7GWrYtLWcpSlrKUpSxlKUtZylKWspSlLGUpS/kTIV9xiC4D42HbDoEipfSZ16IoUFUc7ctKWaACFKy27pwXePa0hfw+PO0jJEFlwGzhWAIrzP+lxmCfmecjaYmiRrLewQxyxWY126wo7UKjy9aQIQRGzPTXdOWz84LQuwxAySpQPp6htkBMHZNt2mUgZ0ajTTLmZmcFasVm5K/v7qK1bhFSOT+vjYBiJW9m5kSbxWwGs2OrSmXNnu/KkaPosb1smKfY6to2xUt7Pay/2Vaxm11bffvGWgvX3vNeAMCx0ydx4k22Kr578RKuEnYvjm7hOSJwYla7HnzgAXz8kxaBs7aygt7Bvl1DYzwMcQ4rnaf2pYAfBQ2YhVaLQxJfEP1iKB+2ginXjiJRsVqw/dIIl1dtnv3evR4E2zRCnvJIATFXs4TAdX7XybxCwEEHpj9Fwu8QA/u9PV0hdi0WQmLISpbQxmf7XZWiFLY9FbDtag56XUDAJ7sdqWpZgcAadEWAgmgrGYSekNeBI8dZAUk0YZoXtpQFQOca90a2et1q2qritYuXsXb7WQBA1e2imdtnMMx2cIPPSJcw+HOffwYn9mxrxpX77kJ0xZJfmvHEL8H5tRWcOns7AOBzH7WjuJMkwrFjtnXx+vb1hfV5ZbSNcU/RrWOrhTz8yqSvdJmXE6v6cwIEJExpEZn93hhPHbF25cGyQK1hn3tZzG1T5VpbIXCR33VHodGkLpUHUyjqkiZ6Yq8o0YKrRiocaFbEtUGTgzJAYskcQMZ2xlYUIfZjjhW0vvk+99IcdX7vVhBiQh2Mo8ij0Vz7QFVWME4XF9EG2qB+zeqFa5ksUg0REiXUbmCDladUSOwSBenswzviBrp8b5pr9nwA5uAAPfqHP6yHuDxabMdyS+Bg3l9GGcRCP9mtRedDlLKs0Dvood1u4957bGvdaDxBr2efnTAKUau7gSus5OUpNomcHU40XiBM/J68B1Ojb+E6ThQQcf2MEbjC+3BnUaHRtfqUHUzRpj4VHAs9KErEDmavFHq0TcoYtIhwcpB9IYAJ0SsBLLoOADII1FhxdMXdtKh8K+y6CtxSQkB4CHuNLyotkNHP5L0BKkVfnyR4w3d/v/3gyur8ZrL6ePlf/HOcfNc3AwCuvfAibn/7N7z8xu8RmVqm6P/YjwMAun/r/4ZG377+6HCAamBtWv8RW+mUUnm1juMa0RI8f6dnrpVMa0SRPfcgDD0qT1c3o9RffXF67PvLFqrvi6jFhZ/a3vfBeISXOtbW32FmAFEEIdFYYwmEcGtjcIXP/7m8RI26lB5MsLJmY6+ctikrKsTUx24Q+BbrAECDcZNrxQYMJmw/UwY44gYxCOHJn90ipEUFTVt5RAXeP0ZR5NFobl2qat5erqs5KbmpDKIr1jZJIrs6Z87ivm98KwBgdzjAbaxkf+SJX0VJDoob27Yy/fVrR9F8/gIAYOWhezFJrc7kZYX+gX2GP40Sz+RWdwv6zIPezCP+lIT33cYYT+NgXsmBLbTkv+LfX0UxsKrTbDXRqFufJaXClJQiOQSGwz6AhTg8UMiHNgYc7CZ4sWuRcXfmGSY1105EW66A2JF3a4OrvJ7bygqNjn12pvsTrKxZ2+T0qchLEJyClSDAgLYpFAYN6osbqgJpMGW3RSQlVommmUKgTtvEzjWkZYWI7bpbofD6FMeRH9jiYnpZGY82FYGCoIEL8gJvfL1tP5SuLbe7ht/6qZ+yx1rr4szJkwCA3U98AvFbrJ5d+bn/YD//gY+izri5/e3fhn1ex/+PvT+Ptj277vrQz1q/brenv/fWbarurU5VKvWWZUk2tmyCsMGYgE1nsPMIENK8JAxe3iB5CU3MG4GEl5EAiZMXEhPANjgYE2z5GdwpthpbUkkqVZVKVarmdnXb0+9+/7q13h9rrrV/59xTJQF1PYY89vzjnn1382vWmr+55przO78zf+ELPPZeRyL9xUnE3citBR7le+PWLSpfNtTtMJXGXN3eCoPSIS4WlZiCSAdBTcgzHUV02m2ms0Yp432Vhv42KUvChVrwftNOxssPOVv/RFFQ9uIjPysjRcuvR8ANscPtsqQtZOKT/Slrss7lUmGjSxNKqVejmJH3jyFUZpSFr9xZlMYmSrEpiJ2JVfTktS+jzcs6uCFno6hhm5Lgi0S+sU9VU/jqn6jheFhIXnfrkUfED6Y1g5dfdeedjNmUNeb26BZT8ekyaQL2b4yrQLSfrwDrawDMXn0toPS/sLXGYeAuOVicu+E3qQV0OTQBWNieht90RO6fE+XjA1VVNc68qFYxpl4sf9o3hmpjDl18YOdWm5elounRacFEHNhKkEV1pMO6oi341kZrRUVH7NLkYBZ0aSY+E6UlllLRXhQFXbIQEPGRJ/kHcrElbaXZkH3XXm1ZkeoWv8eraoMVn2lTa2ZSsdCRCgA/KgB1ZQLa1VSLZi5YeCB3136673zH5KMfZfovHG2D7nT4vu//fgBe/Y3P0D/n0O+Hl68AsPLCy1D9vB9q9l5zaNUbwyGq52z81V6LnT03Fg+0T8tpTVjPHjh9mpdfcs1YvH06KgvKgd3d3WAHkiT5uvymJaJrKUtZylKWspSlLGUpS1nKUpaylKUsZSm/LeQbDtEFCqUUWqvAxWXq+gg5pw/ZWslGJu0emcBUxpMBnx+7DNT7lF1wukimeGoNr0sGZiPWoYVqFalAXjrrpqE223N79c6ssHPNZatW1jqBxNLMpkwENGF9vX8akXWEz6aoSCUr2kp0ICPUEumM0xjjs3jFDDNyn3dNzVyi1G1pHZwfHAb02Jm1Fa5ccxFXNU/ZFXK3dYn+x6cMSd+hw9bjNdYeOAvAWpTws7/xaQD++B//E+74jzwM/9evAdD/5vfR6bgo7dnVHvEdRwr38+0uN/fd61ef/QoA3/qt38rOtstullUVorAKFRAZVubFgSZCWqmBiGm+vk9k9G+WXGh8ZjyhdWcVAUcwvrHPZzquLv4pZUO79VL0aWYMM/nuhlZkElGPtKIl2blqpU0h+tSXIZic6jO/7rJtqY5YlWxAVdeBY0B7RFesiQRtVlR1yBxFSlFIptpnppI4wveJrxVEoutVVYeMkZJ72IhiUuEgKbCMJSvYR2OUcBusOyTgORUxl8i6jjSXHn0bAKODMbNHHPprtO242V6OalbOO33rbKzREw6LsYa2jM/+hz/EFz/9m+465ByPPvIor7zyiszGogFFFMWhnbBt6JjP0pdFzolcFPdNjqEQA4prQSbsr0PFaZjH+vAuX9p4BIB3YRlJxq0tqKtZZZiLLVlToCWjG0d6oUurbUrJXHvCy/yBFXj9EIA00mwK+X1uCuJ0QZrvrkrRlpr/O8WcrvAOKq0DGb3XpTSO0PL8VkWFFh2tqxrjeZtkPjKlqUXHi2rRJCHOKyrJeCaSPWzHYIQnbFyVgcx8fVKwI8PXkSzn8+WUb42Ef0lblKAmhtYSSR3/Lx5U3PD8cQ1k30n0EkelmZn0L+2xX9xfeJe1lsHhAddvuDlZX10Ja8N0NqEvNnws9j1NU9ZX3HhsJCnPSZvmdygw8mzlYpsKY6kEsbkSKTqiT1pr2mJPktUOpWSvfRMCdapPIfrU0poNj8iqaxKZY99URcURK6KbpqpD85YMmHvOS8m3JUnEukc9F1XQt8haznWdNrdT4dpEcVkabJze2GTvpvDRbJ2meMZxdKW/86OLgRQuiAd/z+/B5/ce+47vgMcv3Tvowncz+bEfZyK8EWuPnocHzgDwdz/+aX7jS8+46+msypgtstfT6ezI8x/Js7B52q0Tk/GYmWTWi3wa0M0Ks0Ch3hc5ps9H+LoaqFfPg6OzoGvGFHxB2pQ/1YdC+GFGLUEPW4vxhPCRRnjGSWIdSG/TtS5WnvWQkT7dZ3bFrXOZbgVdmtYV2nOMyJDoKGZNdLGqaqxvdKEWBPGpvNeJIjpyrKqomTUQW7XnI5TPYwNpWD8tpUdVzEusJ/cV8t8nPvB+Ln3LBwB478Ymr/7qx92YPPkuPvHxXwfg3CmHfHsl07zdc61iSQYONbBXVWgZ94/XcHO0d2ReLly4wLbonVUKMxeuGaUX65v2qApYoE2byPcFWf99EWupqoqbN29x8SGX4R8MDukIuivLWoEX0/vmtdVsbrjnZXSwy9Ope54eV5DI+I4EjlXWhkO5/FWtWBXbFEWarsDUs/UelX8t61B5eoX8mkOfpEqxJmtVXtfEoYGGO66OItry+6pakIK3Ucw9ylIt/CbPd9qLE2beF61NYI3yiIzYQFsI3+vKhMeqm/UZ524uD285LMjFytJZceiPwWTCjiBysrygf8r5TVoaaNxc6/L+hy653//zf84DgnzY39jg9aGz/3/76ed4bVvQ7uITTSazQOI+ODwklgqRweHBPQjBKIoCF46pjWuAAIzHY/L5HHPfqiuOo3zU0ZfNvQGAStDim5jZAc+MHVL0iYTAXZULP2huDIWsc+takxXevmk6MhattS6V+E2xX+fO9JhfPQQg0S36cjl5VQZ+3Fg4BQ2KjvAHVnVN6vdmKGaiS+IeEccRZ2R9zHNF4X2v2gR980ipFEUmulRWNqC74twE21TVwhOVac5/+EOA40GOZL1fUzF7cg0tqUp6dX2DJ64Iz+18RrTt9HFiKmq5hl++s8/r48Nj82EDJ5LGUjSQy4umb00f9yT/6I2QXm+VqCPXRaOZDUoH5HWE8Gh1VohElyZXb/PME65q5DFlyWRhmQvPVVkb9gUpuaEVK3LLVquFXVptU4sudXxjk9N98uuHAKRR21V6AXVpiESH/F4sThZ2ydR1aIyxpjUzmdNSdKkbxzwoa9d4roJPVdeLBiz+2UmtCn5dUZmFD15U7Oy5qpok87sG6HzP73F/p0OqX3RVNdW1G5z/Xtfkpy8+1e4rl9l6zcUaDp7/MpPnHTfctqqwgnL8xJkHuTpw59jccPGDg719Tp1x6K5Pf/o3yGWda6qHb3RSlWXQL0VMJlxkk/GY6fQkBNhR+YYLdGmlSAWWN5cFIE3ikzubiUwnhwuYIpqv3nKOVXQqQkuHhborZIW5JRdvfLPbYl+I+faGM7Y23CJeZQldIcS8FQuh5qziiYvOwbk6mDIUI5TFEZ1IFhlR5C0NUyGr0+0kOH/1vCAVozYXbGsERP6hsCVa4PGdbgbSVbElkOpyZZWHVlxQ4PBgn3dtOSVaWdmk6Er3rT3nbH32y8/Rl/EzUcSld7/HjZ5V/A4h/v3cP/tZAHrDEavvfx8A72i12bvioImPfN/3cku6YM2uXOF3/M7vBODCgw7O/9JLL4ZFtaxrFuSSOpBxN4kNvaMRxzGpbGg8we9viRxfTO/9AgD5dEAhRJiomBeuHAKQbkEhZJHTrvu8VdtABLnSb1ELOf+V4YSH5IEvYk1LoOwHctiqqmifcUtrXtWU8qTGWYKSxW6WeEdfue59gG7FwdhFeY0W3cg9n3tZI+pIkiyCU8QqODW+LGms4IJ33pRmKu/3z1zgHR9xBKnmua8CUD/5GLeFeLB/5gz5wAUWosefYO9VF5w6JbDb7jQnkaChvp3S+6E/AsCNT/9fjK84nb7865/ilStCvCpOyqmtzSNz453+ui5DJ6XFVu34QtqEwhvu90L7xsGQo7plqlnjPcXLV64CoC+sBUjugdiSbm0pZJHt9zMqsU1fGYx5m5QH1UlEIuV9B6IztalBSiKpDCbxzlTkSlKBSBbmTGuMvNfutUI5YpTXAZpeip7osibznfPaCdui2yqCWDZivouoSVTQqwRFX+65My9CyVNbCNBtv0Xh4daxxgg59H5V0ZP578vGZhMVnG9rIZcxu9uOaYmN3igXpLoewu660rzxmnH0/TfTlfsfONVRRC4bpO3dIjTFSOI4BEk6HeegWGOZTKWL2/nzvHjbObBJW1HmslZ1JPBQm0D43e1lFDJ/zw/GvFNKOog1kZT9TYTde1ZVVKfd56kxmMbG0T93czluy1q0L6tOG7aptME2zX2AvagDhUAriynEJhbackucoHPiqO8qxdkLboO9e+MGRoLwTz75TqqJ+AUS5KPXhaELLN19+VXOPPqoe3/rNLzi1jIedwFmLCBk/+rVr7Ky4dbT27dusykw/PzVV6lLN8aRrJVlVdGRDnx5XgQS40XvJ0InIWshlQ6OlY6oqlzeN6HM6f5KU+/V4uVxGgGThy6ZoLiy7zZGSWcrlHQdykY5qapgp9srGbXYoK8Op7xdStSiLAIpFctFlyZFgX3AfV7VNbUPkKqYqZSrJrIR6ChLyydmWglD0auuUaGsbCZ2p1WbEJjIsjiUY9dahW7VkXy3jDWpXFeiFF0Znta8CkmITuX+fukTH+f5V12JRf/hi6wdOL9qPBrzlFA6ZLsucNU9GBIL+fPoS88xlKYDryeKthCxbyUxeFJkmZdbN2/SW3Fr/3yeH7UwoWzIv9H4tJFI0Tpq+MRvvURxzObmJrWpQqOMb3rfN7EtiU0UXLvmCNA3hZS+OBxQ5O6ZrIqCy3clkXcmRkvwYShRqNgYjOhTZyVjJI1wvjqY8C5Z63SqieS5l+pPZmVBfUaI4k21SN6piIl81we8uix8a51GIYgQVTY0LAjlYmUd1pxCWyIJzNUQ9MkHS0ugJQlyaxVafJP+3FALfcPjFx8G4PorL5JKqdT87piZ+EWPfOu384okl6tzLim42upSS9n6a1/8Au//c/+xu55rr2I/8QkA3vXQGX76pefc+fqS8NhY46p0xAZCAFIpHdYP7Te9cUy748Z3OBgEuo719XX29/eZ5/dLp5qBduA4gfjxJdoWmNAxPOaKBIbTc/2QMKuERiSuK2rfgXolpZo6u/KV/THvkXVOxwojNqvw61xeUJySJjDWhJK+KI6ZSCBFiy51tCLxTVWSiFx0KTGQqKO6ZMs6bLyTLKKay5hGDdskUTETg6/qTYEVeT+dFcRy3LbM57CT8sLnPgfAk9/7e9kS/+fFazc5e97dx4rv5nf9NkZem8EQb2Wuppo1CSqvViWFNMLwyQZjFnu2sqoWZflw7/rxhvuo5nffalHScVERN5IiTV/OB32D/zG8gwrJ0oyXbrp1Ol61jW7kQiNSVyHB0l7JqEWXXmzokoo1VnQpl4nOy5LylLNL2tRYvQC0+A7lM1n7ukqR+OBnGoeAVGII3TyVD3IWZVjNO62EWvYEaIUSP11wDdQJoVw1VTrQHLXzgkff814AnvxDPxBG8sZP/qQ77sYak9ddInF45gyv/oajI3rs9zkKiP2nv0T+sV8GXPm9FptabXRDs7PTszHF3O3lxyPxy7c2ueHBOEqfuM6VvhxcqTCDcaQD0Mgqhf06Gq8sSxeXspSlLGUpS1nKUpaylKUsZSlLWcpSlvLbQr4moksp9R8BP2GtPfiXPbhS6nuAv4UDJv1v1tr/+tjnDwF/H1iT7/xn1tpfeLNjGmsCkstDKFvdHsXh4QnfXkT6fBkjUQsf3f1P5m3+duIyxf099zeNNHdWPJzZMPfZ6FZEfsudQ13cZFfarbZ6LoobzebcESTEU2s9rkmrWmsrSokAe/hsruGBdZfFvHUwCeHy9lqHVAjtC8k+tVEYQQkVZU1LIqTz6TwQPu/kLuq+qmF/cCBj0sdMXfao7q4wluj/1rqDQ39HkvHc9Kr7XMVc+cxvADDRGaefdMTH33XhIgCv/eQ/Yv3DLlt54+ZNzn7kOwF4/jO/yU+cdjDPj331K8z+1/8FgPHUZc87vT79FQdVn81mpAKLVEqTz4WkzywyRH62yiJnpe8ymuOhffPMwFshlqPnaJYDNKVRCmCNj5zrQBb756MefzN3Y7615z5PI8WNVUHCFBVUjUj9bRfhTi5uUknL57jlMgvJcLSAHmuY+Pa2GGrJXtbaw81VyCbO8gLrS+GyGPBZDadDnVijRJ9Ka0l8CR0LFFQp5a06itgW/Z9ZSyKlwtvTCbs3HPLqzKbL1mY2xkiWa3z7Fj1BN9wsS97xkY8AsPnFL7vjpjNWf7cjZf3KbMboC58H4Ms7B/yvmfvdr16/xurailyHu5/nnnueWKCsNIh5XRnjCWVmYQ51mF6tNcaYMGdvvXiEhK9XPp4BlfH2JQPWsCJZ//FkGtrp/qVBzF/vuddn9z3BZMzNvsDxS4P2JM2ZZnrH6VLn4iZz0c101emSGY9QkvxMI8tEflYYi/XlhB5WH2kSQXcV83l4PFWWkPkyRrmn9TQLmauirFmRuZkbSyU2rxakRLeVhSyerS3Wl5onmtnI2a/ToqutwjITZGNR20BMP50XlHLud8Xu3vpak8u1D+qKiQz/2Gj+X3Jtz4zGeLSECeW10ZskFY9/0LQNjXKv+1kaJGeNtCVJ4tBu2eqYOne2s9NpUwlKpBDUVVWVPPWOpwA39p7Y80dY46+mzjY9IPqkYsWNFcmcFRWJL4VNIyZ3Haqp99BGKO9PWoK8GY+IhDS6HVm8GpbWhnKK2qeAY00sqIFZXiyaw6cJ2jfpEF3oZBHV1N3HrLBh1FOtQznFjpQ5r53eIpO1N04i5oJG+8rnP89H/ugPuR9+Vcqc8zlf+exn3XWlCT3Roe7ZCwskl5frN+G6yzJ2tjrc/rJD7+w9+CBKSOz/n9/9e9j4e38PgL/xN/4bN5YKcimbdQgd0XU0vvuHn4vV1TVyWbPLsgxl51YZKev/rSCl5xiyVbPIezZLHryuR0Hf/9Ku5W+edq/PyjpXxYq7a7LWlIZYEEtRFjO743Rp9eEtcuu+n0iL8nQ8COdrKcukQdLrs9bGl+lFGiU+Xz7Pw5pdJAkdsT0ePdiKNUZQQPPCBMLwSLmSfWBB+J4loZzRVCbYbJVoyoE8a0ZKefdG7EeuNOxgf499eS7TpEuJK3l9lyBQo9vbHIotnSuYC8KgnSX8yNT5h89PBiE73RW0YqfbYVvKZ9/QSIX3DVpLmQtmAcZrtGW/H2KMYTqdohRcu34NcGigM2dcee7hwQFra2sA4f5arRaRjEGr3WIqKLkfKVb4q7HTkccPhKQ9hlvihxfTilT8piiNGIo+bVzcohJ9SkWf5qNBIH3OlCWXua5UA1HjDUukgj8xmxcLQH+aEMn6bTxxeRYzFdtk6prVVPRBR6Fs1vtNNo3DI1TVhkjsajkZEgvSvZLmIedPnWUitvJgfx9fKHB3MmNDxvKxhx8H4Kv/+J8wefc73b0bwy/+V3/dXUOW8Avvdf75rz77POekQcLdOw6FcfXKiEQQKfOqBBa+x8LtlWepKIJtsoARtOF4PCbNWhSy77k/chwFbxdvn7gHkJG3FqwbuB/ZU/x/ttz9ndn3uqR4vS+VDbOatPYlYprhHaF0ubRJbdx9tzrebxoEZJW1hsjTNChQvrGBXFcUaxKxTaO8wI+nTWIidXSda6URhTTYqY0NuhKrxQh4vYuzJNy6qW14rqNUUwnReVsg1XpeMRdU2fnTZ5hcdetYWdbMBU18SrC4naJkKjZvaOqAtNatFv+52M1nhwcsmvcs5sZja1xFxWJefDm1R3kppajrExCAx3731ooVJKsOzSGOigr7o7Lxua2dX0HUwgoS7keqVf6ydn71hQPvM2ludt18zuc1cUOXBsEubVKKD94Ru1SNDgOQ2tiali+1Ri1QuH6PEilSsZODhi7FWYLyFDaiB70sphI/d5aXAT8eKx2GOMxBGgf7YmqL9ci2OKIS/4nTZ8KYXPioq9rh6utsyD6vPy2DXa9+/P9wx/+5X2DqqQiMYSbnXc8r/vzYXdvTg9ucPeuOvbfrqgxmswlK1q5up8VYEPhpmlJILCWIXszb5uYmE2l6Mp3mfD3y9ZQungGeVkp9Efi7wC/ar9mmCpRSEfCjwEeBG3KMn7PWfqXxtb8I/GNr7f+slHoK+AXg0tdz4Uqpe5CSJ3xr8TfUNBULo6kVNx52gZr3XnaLQmU1pydO0WdZBGLX55EmEuOzWdW0BI6/LVDBoqi5Kd06BvGcc762NFaLGluBqObKoMSZbZWWpCubg7xiKvxLiRievXFBJSvz1lqPuQSA7PiQjoeNtqTEbWWVfXEI9mc57/YlQZMpRhbbix/53QBce/oztG9dBWBia56TDgoPPXCO7/4+V4M7/pmPAfDwd30EK/Dz/f19hq85HoGtXo8/eNqVR/6TL3+JbtdBsIdiVJW1KHHiu70+qSy2s3lOLB1BOm234CdpRiwLxd7ubhizKEmpq2NKfz+kqdIq/HP8Sxz7kuiTvKU1e486fVp/zQWCagOnxs4oDRONVKlQJzGHok9nqpq058bjQAKcioipwIYLFNqX/MQKKwEBaaBJldbkHpKc1wECa3MwmYdCu2svKhMcz1pB7TsbJYrUw2E995ey3BSn6HZu+LZ1F7TcsJqDu67e+txj7wAgTSMe67tn4nJeMhWDfPrsWTIpG/GO/uM//CfgCee8PXX+HMh9vvL9f5Tv3lgD4NfuWObe4Wo47SYsnGrhAJh7F1MX0PKwV0LZXbfXZzQc3vP9t06am0Q4ylOgFsEeFtc89l2Quj3GU3HesozRxXUATl13ujSpLOdFl24nC94Bm8TsyqL9SGlorbh52PNliSZiWkiXMxSiEmTaUnknyz9iylL4kqDcMBddMkWNET6vtpx31AiqRpEKG0gbK3zFh+9QMzU1lZQj38hLHpc56xQ1kXS+LaV0sdIRqTgC/UQj1Rx0uy2UQMW7YkusXWxm2kqjZVwPLfxAz53vmdEBcFRHXKnr13K2Tgqact8DXIvTaNqdPpsbG2zvuBLxbqfFmpSyDIcDSinv8uX8q+trtIUrZH8yYFp4B7Zi/4LbOG297jbquVGcHrm5vptqQnlnGjOUZ2e1NLTFNu2JA4iJmPhAjVp01kwjFbhyWrLeWGUoPUS+MhwEs1lTpx5aL4Ggog6B18rawFdiIxCKDGoxoPt7O8ylC2B5/hH6u84enVldo7j5urueD36b+9FXvkJb9OWhdz5F9O733TvYt10ZFT/6Y7Dpnh/OPcjZl2+4c2RtvvAzPwPAs/0eD1103dEuPeLKIK9eudyojtC0pZS0rqrAF9LpOftZNt5LkjTMIRiw9j52zFNHq6rfUI9PWOdsDcLth9bcEaf18VtSqmYUmyN3H3vZQpfiNGUoz/rKvKQvFBE7EgBXdcxoPg1n9dyXtSb4AJmUIhkMM0lYtirDoGFqx2LfZeaYlnXYhNbYUG6iY0Xs3/cbUGWZCGXErVnBRdm8ZLmhlbn3Cyn5GCvFXDp0dc9sUQoFxZnHL3LwZVfGn/bXAEg21phIV+okiqglEDrX8H09d9wvT03YIPugy2Aw4JLo17Wr107WhgaHqV8fnUVr2qz7lyC01pDPZ6RJygXh6Lp16waXL7tS4JV+n1bmfTvPpWuZSpK6nbWYiz6lrZQ94Yh96IazTbVRbIlt2ktVCD4mWZuxvN4sKnqiT7syP9rEDPNpuM6uD5ZGGiW+TBa6nBpyoXxIK0NozFtWmPSoHz4tbOiaXivH2QtArIL98wHZEstEusDenOQ8JmtPNq+Y3XDlnPayW9N56AHOvP1JAO689jKjA+cLzK5c5vKnXPJ587zThfVen6c//msAXDx/nqcuuUT0Czs7PLztbN73fPd38uwzTwOwf+CCpZV08wS3TvikCMpSS8LCl6Ml8aJDqVbQai/KiqsqDxQR90+CEV28bpZzh2jkse+Kn6GiiB1Z5x6Rbt51DQ+M3TzfSfWiPL6VMZJnZz2vWOm7QPOOrHOmjEKXVwVkkrBQkQ48Xqm4FXVlmPo9XW049DE6u+B/9ucd51XgPqzVYp0jUrREr0p5q7SGKpbuidOci/hysxoltqmUoFmexmSio5udFlevOp1YO3eG6XNSJizrkkoVI985tJHQKOs62KZnR/aeQHsURaHreztqMZsvAg0L5hexr40gl+PMbczdfSxd1NoVnNdh7Xqj756QHK9mIOu0zmKGYpd6okvGKh6YLHwmv1Z3Oi0m4oOfKg0rkoTbk/2crWOm8hxqFJlPuMYRndSXa4utqi1TsUsdY9kLND+K2DPmyJo6LOvADViqBU+miVXgqyzxPHKWQsAKd+cFF+S4naLi8AXHq4XnNtOa7U+75ODpUxvwO77Dvf1LH6e64wJV++KTnv7+72P3V37NjZPWKOEfvWkMf6Lt7u1ze1PuSFC5I6XRdb3oujifF0SyBm9unWIs6+Zk7AJa7XYrcKvN8pzhSGgpFCEAbao3ThB+TY/dWvsXgceBHwP+JPCKUuqvKaUe/Ro//RbgVWvtZWttAfwU8G8ePzywIq9XgVtf63qWspSlLGUpS1nKUpaylKUsZSlLWcpSlrKUk+TrIqO31lql1B3gDg4vug78E6XUL1tr/8Ib/Ow88Hrj/zeADx77zn8J/JKUR3aB33XSgZRSfxb4s+H/2hGQWYmKGlMHNFBV141osTryJ/yncFHCh89scerQRbpvSqR0tbZMu0LWC1QeWYRiLsdp5RWm435wXqKJo9N9+r47UGU58AS9WvnKBUziERELNFq02qYdLwiSrWSmjER3zyQtqsSnjCpuve4yzA92WoFIun3aZbXy2R5bKy7LvXrqFErgfcPc0M0chPLqnovGxmsbrK26bo1msMcTgmlMJ3N+7accJHHjlMvantpY5dLDDwNw7VOf5tXXHEn4B9/zbv7Jyy6Dd+r0WQbDQ3du6ZI3HU9CWVZd1wylO0J3dQ0rpYszQftkWYuhIG2iOOFgf1/GodE96C3qunhcn960VOmkj91BFl+dHQLwUHuNnlz3LdGnXmUZ9qTE1rqEATgkykAOfGqcY9vuBz1BYMw32hSCwqGyFB4OrGHNw8w9oWFpSaUzX97JQrep2lqUICs86KlrNCZeXPvUd+koDfNCskV9dy1xmtIVBM3FtS6TmYuyl4Um6rs5/vxnHDFh0ck4J+i9a/vbfPg93+KOkWTMzjso/exLLmvwxY/9PNnnnG5F4wGvff4ZAAYR/KJy5/7O7/wuvvhFV9K4L2PqUL6LLJ6SZw9jA1mmf66MJRCpmromkS8URUGcJJjirSkPuleXcLpxBCG4KLE8mrGUaxU7Np9NiKVk4qFzK6xKx5sb0olqxcB+393TilLszwURg+LQm4jxHKRT5krunpdis8OhlLultQ1E4VY5UkqggewytCTDNO9kdHwHJmtRUo7kMyvKKDL5bqRh6kuBrA3Zu57oUqkVqSjhxdX2Aik7r9FyndtCtP+YUeG9pK55qPL2MeJAiNQT65+BKJRBjmMdsnjTCH56X7I+J87FG4i19zz+Rw3A/c1oN/VJ64h2q4WOImaChOivrAY7eXpri3OC7vrc067T4Eq/x7NfdqDpnZ09Ou1V+W6L9eEBAHcEmJPUhmFXGkRYxSDoEwhOh/PjOVY6YHZkTuqNNhNBVlWVCfoElhVfTuabQxQ1Pfl92UrpGP9NC56wWcx6VGs8FDDRMJN5NWWN8NKT9aWbWQzD1x2C5uyj7wiZ+at3tll5wJGBn7vs1qk6L3j4P/wP3AFefTVkLcc/+/P03ukQqXyLs1f8tb8Mn3d2Z/A3/xYTIX9+7pO/zt8zbp0draT8mX/blUeGLkVKhQYrOooDvQIsGiBMx27erIpIBb3jnhM/KNKQ5S3Kdp+4zllY+EX6KEIinLZpoxq+lJT2nOm12BwdArAjuqSMDbrURzEWZIEF7sg5zo5yauno2pHyeb3VY3JHaB6qRdkDEEi8Z3IJSV7TFshXkSa05DqVtY4WADgUNFYPHTqiJVoxE9tVzatQapatZeEa22K7HlrroGXqqlkViG4PxTatGk0iByju7nFR1sH23iEjQadPpbsi1gaS+/2yDOXhuxj+hdRbb21usb/nnraDg4XO3Lp1O4y7J08/sRRHLUo6ogYW8H5YqaY+RVHE2XPnODw44O6d2+H6fIkcStGWUkxfSjccDrl23fmveV5iBA2y2VljQ5oO7cqORBnDKNgmmBa+MynclTk5N5oTSQmhbzwSbXYZVU6fdL3QJ40JfngugxMbS0/WkyJK6TYq5Xw9tgelxEYHNoIEOBQUTVtVpL7T7IrT7UpDS2zBgxtdrCAcKhNRyHGrU2vuvK/fpCf24Xf94A8zfe2qG4dnnqX7+38fANmLroJi7b3vCojH6cOXeF0oQs5/6INcf+ACAD/4ez/Kq9IswSNqtI5YW3fnu3vnztEywIAwl+uqqwYlRAOBbmo67XZonPGvKyf6TXIlx19by71NOo4AshUY9+ycP3eBTVnnvC4ZDSPZ03WAae4RLoptmd8HRjkIsjyRuY23uoy2Fz64p3yIrEGJ/+HRyrpWrAhrvI0z+qH7N8EX8h3ZM6uDGxJrFUpeKWr86CayzqVpHKgiHtroEgn6dT4tg308ELbxCxsbXHyXW8+e/fv/gK3IrU3br14lki51pSfJX+mh990zd6AhF8zLgYaPBSMcgfJr06KE0XfHs6bRMKChU0crLOziX9V8wN46Oa5Lpq6kgqPp652Ebj0B/WotTNw+5+LbVoNd2veUDMYyFru0ohRD8ZmK2oYKnQeGs+BDZ+IztTa7DO/O5fqg8ohna7BSepp7/6G2rMp+UCUpq41GWzbYJUFgWhW6OsdKhcoeXdShe3C8ImXLFlKZxwvrXbTMcz6v6Qg68B/+oT8GwB/9kb/M6d/3vW5M9vdAUKDRtWsMpGKg9arzr8bdbmhOc7WcByqRsbb81FwewijD1u4ZPXfeVT3dvn17QWGECeuY6yDuEaZCo1JUoez98HCw6MZYmyMVP28kXxPRpZT6c0qpLwB/A/g08C5r7b8PvB/4gTf98deWHwT+nrX2AvB7gR9X6t6diLX271hrv9la+83/mudbylKW+rSUt0yWurSUt1Ka+uQDJEtZyr+KLG3TUt5KaeqT79a3lKX8q8jSNi3lrZKlLi3la8nXg+jaAL7fWnut+aa11iilft+b/O4m8GDj/xfkvab8aeB75Hi/qZRqAVvA9hsfVrl630a2cTwa4iOyURxRV4vo8+JPI/IssbQrN4e0zrvI6aFHDeQVa5Lpm5UV5yQbfaMRhn5tZ8h6yy30iSCwkjQObdJPRzFT32q2Mkx91lRQN3UELU9AF2uGko3qqUWL47bEIHPgxbn7/du6OkQyr87nnJFrY+qiokWrRWvg6vKTqqJac7xa25MD9J6LUnPNTcFDb3uCsfCstKtFS92q3Q68We95z7sB+KW/82Pc+Yyr182yDLYdj8I/R/PZay5Dt7LS4Y/90T8EwN//Bz8BwMHeDrduufNtrK2yesFlnYbDIUXuotvrG1IPraNAuFxVFQsS72Ntht9yUSy4SxqF9c3PTzy9/04EkdOh66OSdNV9eV+K7Ku8Zm3Nzdm0LHkgc999DUKd/vZwxtaKtDmW6HRaRWSSYVLKkMr7baWZSQYoFo4bhwKQTE0ch2h/XKvAt5QJQjBXimtShn2po0isZEq1pZTvDgQ+Eas41FPHVgW+humdQ27edXr2hOhY584up37g97vv7g/YfOrtAIwOhxxI62efNT9/4w6Xpb77Ul2TXXJ68c0/9EP8Tz/h0IRffebzCyRXQ2pPYo6SjBLEcYT2bbJDzfcMJSjFLEmppX67rmuqqlrwBbzVEjJbgXa78d4bZZVEVxrZieu399APuOufVkKCWtQ8LO2ux3nBeclmv2gNsdTj3xzNOLPakSPLPRaGRHSprgyJz4DUlomQzbblWOgF91ccq0ZGW1EFxJbokoEbkh6/1NWkkvKutSUXGzwSjoKslZGIfVxLI/blEsaRQ1kArAc4gsXKuVYqxUSyimVVcVP43M4IL2E30kwE8XDGwJcEr7FtFF9VgdCAe9OIiwYFR3ShaQdOnK7j2fD7h/Cqqoq9vV12d7dpCXJoOp2wJTYzThI++YlPApBIlu369dcXvF1pRiwwhmu3DkkuOb0Y1sLLV9SsrYptKipOiQ5cMTY4BjfHMx4Q2xR45UpNJGS8pVog9RIFB/KcraXedqnQPlslMaGJtFGLrKQM9FwpbgqP5cVeFBqz1BEUctyBoJg7Sge+J1XldOX13mCX0487/j9kzKLxDYqP/f/cOfb3mNxx9ujsBz8MHxTf+CWHgmAyYfh3/7477mvXaZ0+JZNheG7HrWXvPf92/sGPuzXu1JZDRb/yEkE3TF2iPW+EMQtMVICd1hSlz9I2eFCU5v7xc/mLUA2VtQ19PhG23Hi5yJDfHY6JzzgdHEg22hYVp/w6l5eckmf9sqlJ5By3pzlbubRY90058hpEd4kskcyztpaR94Viv84R1qg4TYL+WEtolZ7KGB+Whl1BKF/s6oC60ammENu0L4iibrtFJuivjSxhVxBb40RhBAm24v1LpWlvuYY+W90uiV8Tt3eJzjiU8vnemhunZ77EHbFdWyjGsUe5RXxFCIR7HcPqqrNl+3tuvbv08CWuv/66fLeJ5DoCuwvvRZ5zs8FREkUR9QnclW+V1HXNYDBgNp83EByKOBZ07WTCjqzxh4JwK4qC2UzQVlESOLOu350QXXC6MxF/hLJmK174TZuiA1eNIRV9ujPNOeNtk0celYZMfKyiNMSevBvLWMauK8fSirBOxWkcoMrWEPYQnv9mamBHUKUPdXVopDHXC3SG8na3lZHIOdZaCYcClx7UBXrf6dzG1P2mFWt6Zx3ijbwKnEf6wgUOvJ8n43f5l36FsaC/N6yh03E279NP3+F/mTj//H/4R3+PfWnMdfqUs13T2TTo1lHtafxP/EfHwSXIo1aLqVSFaK0wxpzIh3q/xU33seqc5tprDUijnJs3BsSPOa7g/WCbarZW3etxUQVdOmjYpu1pzobYplzu0ebG7XcAE1mQsY+sZWIX8+cvK5f5ylK9AEJZh1QF3xYKpsawKz74Q70YLTdVRyaslWPxwU+30lCNsNLO2BNUzCjRKOE0XRN/rB6MKKRCZq29ElA2s7LirqAKz7ddhY0ZjRhIRciqUdyV1zOjeUk4Y6ECe7TywVqLFf6oJG0Hf7ypFx1Bcs5mMyzH/SWOrUH3QZRC6yisD19bGqhqpUH2ElduDkmkscFcPKKqrNgSOz4rKrZk3RhbQ+b3c7OC01KZM/UNCEoV7JKtG7qECvrWiReJzXnt175oUa1iCNULUeC+tex4n2k1CfYKbcO6MZH4QpamYa1Y66Tsl04nRpFiKtyA3/Vvvt/d+6/9Go996EPu80/9Jv1HHwGg+72/l64g5afCF759/TqFxDvOtdtcFpTWTmH44oFbA77j276JV19z1V8e7d5EbmFV8EXm+Zxuzx27L89fURQLrsfRODRGy/MRX498zUCXtfavvMlnL77JT58GHldKPYwLcP0x4I8f+8514N8A/p5S6u1AC9j52tfEETJ691ogfQ14t+8CASoYrDwvF0TnKxm/Kb/7I/Je0s7YkRZ3lbaclo3cXlmihJR3iuWuONxdId3uKMOmENTPDgu68rDs1yYYU79RnMUqdH5JtWJFyiBVYZnLA9D2m5HacN53YuynqLE7RlrGDGT25LkjshVaSDDt8IBDCWRt2TYt2Qj01p0ztn/5FWrpAJOh0WKMizt3efCSK1NMpextvaqZSwfHzb19zsqi+H/01xnNnaLtDbb51G848syBdH5UKHpdVzK5s7ODFia94WhEp+MWI+ODK4cDKk86fyQIcb9RDbJgvplNbFRvhP+H1zVI54h4PeFZIcv9bvk4baXsCYF4ERnOywK3X1bkok+dNEaLwTRWYKbUxAInnU1noYRiZkvWsgVsE8CkUdBpZWpsAxTpnbCOBLqi2vKAJydcaRHJgmrzirjtjjuW4ESez0MXq9xqDmUBfLC3xfqqK9mIZDmNHn+Y1553JVNv/7Zv49ZtFwxNo5iB7zYm1zVWizBQ2uvyoECovxDFDGdOz7rdbujg5MtY79y505gMi1K+O2oF4uT7DmZa61AelPnyImA0GkpXlvsk1pfa3gvpds7kseiJWmxeXDMa94zUs5IXpFTq272tyBKG0h1WteCs4NyWwNbzAAEAAElEQVR3ypJciNdXsjR0qax9hzIq1/UQODicBudjWNd0PWGlD2LpRbcWAgTc7QFymbUNCSDmlWHTb+77GZk4XkVREUtJyFCc/7ws6MtzUg0nIdnQKgyp6N2moJj3I1cKBdAvLfiggY5cNxkIZUuJgY7f/GrFBfnufzmpmM980wG9cNgaG3tr7LH34Ghgu+FcN4MDTQndNe9HlzOLMRVxHC82rVVJp+uc1Z27d8KlTyZu8LIsZW3NBSH+zJ/50/zyrzqb/MVrt/iK3M93yG+iVsKebLisMjwgwfmDqsQEfUpC6VQttqlQNT1x2qZ1QSljsltUbIltmso6nCV6MWJVGcqNrYG5bEJbVkpGKsuWH/NeRuT1qayIfIlR6d8rqGbuGuPDA9KVNQA2km4gjf/gf/pfAHD1Y/8nvbc5wufW1ZuclQYqvP1JPv2DP+zuTcqqn3jsUTpXXE6vjeJlKfP+b6cl08LZsZ/5pz/L+77pvQBs77qA/+mzZ9m+5fN4emFjlMZbO6WlBLTdYuI3E3ah34tuVPfJPt0T1DpW2nG8c61tBMKsWeh6FPG8rGMf8SUYrYRDqe2pNGzJ5n5/XFKtOPvb1CW/XhXKsC7r3PZgFjp4zo0hltdT8U3SRIXmFrqsiKOFbRqL/T8XO51oGcWm3F/dy6ikHMkYS9T1uuTeq8qSFbm3cjoMpVutvCaThOaKzNFhqpjvudJYVSuMEKprqxnuOV3Y3nbrlTaGVb/JjTR9WYP/TqmZi9908cEHeeVlV4KbyThEkQpE7rPZglj9jZyUQPqsFkkTtwG9fwnCSEes9Pusr6+HZOb62joDKate6a+EZjCHEniJtKbXc/7gaDzFaucvR72MV+Xe3uf1KYsZSM1qiWVD9OlwWlKL39TPktBYxzdKqKjpy7q/M58zbmx2gz7Js5klKpTh67IiljmurQ1d6NYk8KaNDQEF282IRJ/mVQUtdw0z+U2rLOmJPh1ODwPZeGte0ZKLOHPKBcgHtiSREsT68lV8Hm/roYcoWu4+MwkcJGlCLAniU1YxlkYQ/zzpsb3nykfX11doy+/2RU83NjdRsj7t7885US+OFNLIc1yW4at1XVMbe/8ShMfO3UwAnqj3Sh19319/FPG87Nk+HNa5mIGUaZUY1gXUsDktyWVf1M8SkmM+eE1NV3yo4TynaHbqFsXxehI3dKksy0BBUdc2lKStyXZbW1iVfaPppkTSzTMvLLHYm6nYpv08Z132dIfTQbDH7aKmJX5TTx7/ubZMXnK25FJpmEsZcRrFxLU7XiLzt2k1pnQOZBbpoNv/9bgklwCIK20/qita69DYrCzmtGUfV5ZFCKz4Du9a64Xf0lxL7itwwR2/ruvFenVEjoEYjl+PzcGIXVpLuSq0IU8q73fHDEWXhhjOVd6XLim8LqWLdS4NumToy3zs5zlzWQtiBR1Zd2dS5p401rm6KMhEB4vaMpfxXMV3QLese93vZaRCNTMtS7T4THnhO6MX9MUHOdwf4CNoWVHTFr2786VnATAf/ACTn/05dz8PnIGem2defpmXfumXAXhEEoarqNBdvS4qOjKef3s6Jy+cLr344ktEstfIm6TxTb/aer0qGA0O5X33myzL0JEEBDsdDqUhDID2e5A3MU33LYpgra2A/xD4ReBFXHfFF5RSf1Up9fvla/8J8O8opZ4F/hHwJ7+ejo5LWcpSlrKUpSxlKUtZylKWspSlLGUpS1nKcfm6yOj/VcVa+wvALxx77y83Xn8F+LZ/yaM6eL+1AW1g3wBOGzL2WOYCmUYpqFyUsdye8MpDDjWybVwmarI9IJOSQBsnTCWK2Io0EyF5zvKKvqB0zpxx0d+bkzl3pu4cnWlNv3ZRxlFs2OhKCVXmUV4Vs0yg8lHMSOCmPaVYTRclRuBaIHckGxMdEtr7tqOIqUDzN0bu97sdi1qRCKitOSv3WScJX9l1GcTp5esAvP2Rx3jvH/iD7vevXWHvgqsy1Std1qXF8+5LDqLYrio2+wJ5bbd5Vkob1/YO6HTc/Y/HQ557xpH4Hu4tKk995jbN2sQCPTt9agsfqR0NBdaeN0gum9ma+1sdxNHMkZcjkK3G2ydlIiwUTneK6x2uvXsNgEq+u3d3QCZRdKs0+0pKE+OIqaAfdosSe8cd48xpN849o7ghKLq+UUSSQZ+2E2ZybR7lP61quoIKbFsV2kNHWpF5iL3ocWoUbV+6tm+Zyi2V1lKIzm3NXMR90o4xqZQXGUO76zKLg8Eul8dOt9ZXXeniu9fWuPOCQ3TlV67z5He6drR39g9Q0kChLxH9eRyzctY9d0WR8ymBx+ef/zyPCUT2lddexdSLTATAhQvnKQXRcffunUb74gYqStAQSZry2KOPuesdjbnp23rb8A/3R94g0xj+30BLyBUfRVAI8iDP+TJrAHx41Y37/s4gtLsf55p9KUtLo4iJ2KybecHZHTeeW5suC9M1CXcEGbBeQSKwCR1HocGGJ6PPK8OKPN8ZKpQKtbRiU+DCktAjqaGWUkKzUzOU57vEkEvGakvQscO2onLJfFqxouNJJnsJr0tNyBWBxL9tEgW04jBJMJLdjJTi0dSNRdunvusaJVn9vVjxecmafUtd8eJQvmNPQjcsULVHP2nqhc9G3vvbk7//1otWmrqu6bZ8iQ7s7znQs1KKmcDE/VqYz2f87o+6ni6HhyPm0kDi0tYmryROBz7sTAx720MiyQqrKGKkBE0caway1m3nBaO7zkY/fmbNfdcobswcIqlT1CDlXWkrcfVAwEzGZVDUbEims40ml3nrRBortmks7/WUoi8ZcnUwYyxjUGARcBcrI6cLs16LaFWKM7RmRdanOjd88//tT7pr/8LT7rxnHmTrg9/qPr+zx+X/+X9x5/hb/yNvF53eeIcr0+f1m9wRKoBhv8Prj7rm0h/+7DNcluxuHEcMBA1di24ODw9JZY6KfH6kZMPfp7dnk1HRyDYrMB5tGElZx33MeFuOIRgbHxxHLarmawWexn0+5kvGlRZ8m6C19nZHRC3vTirGokupUlSyzt3MC1b3nN48suVsk7WKO4Jo2DKuuQHAINYY0aWR6MSkNKyKvmZKMZPvdpQmEzTOrqDC+1bRl3UuHsCOUEyUymLF2J2au/dmHUUuBMPtWNGXDPq8n3FjT1rCC8H5Y+WixK3UI9q+qUmRc0my2pmgKytrw/NwK1I8I3bqnbbmNWkwZIwhk/LHTEozhsMhtSD7/+XSvo21p4Huuh8mylpLWRacPnOavqC0Ll++zOOPuTX3gbPn+Pzn3fPXkudiOp2yv+/Q/lEU084EOT6Y8+IZp0/vd0Bx7tw5JJY1TUeaCeI3KYJtupsXzKThyMObXbnVmDuCCj9lFqjdQaSpvP9hPYLCsCLnaCnNXOxQV2nXXQUCTUTHukYuAHp/Fsogcyxz0cNHBaUzzCom7pbpKhVKb/NeytW7TtevXHG+9bs2TvP4h51tuvXMs5zpuPsoXr9BtOMQWW35G2Up6bscMnX76mVeFR/q4eGcg8ec32TqklbLVW10xTd32AE3sPv7ewuf5KTGK9aGz40xjb5eDZT6fZFjStpE3Z9orzhqr6SSgnLOczjb8iHpDnZndxCqI7TWjESXEqWYtt37O/OS9QO3Pp5bd+M2N4q7Q6df7aqWo8Is1tRSuj8R/cgrS0f2d7FVTMUWdOPFOjeRfeqKVaRiS9X+jLEM8hzLfOp+d9F4v90yl+5SvUiHSqG8l3JD0DuRHOvRcY09dLZnN45DJ4VEwdukGVlbrmE4nwVEz61I8azYvPcYw1cnstlozoFvSlTXocmTUhG5IAxNA04TXjXA8faN5vC+yRud7yQ0I40114CUw9V7a7xwwdnktwuKdHtnQCL2J9KaqdSoJpFiLATyO/OC6pgulWi2h84urRpDJnOTthcVGF4/5pWl78+hFrrUjhb0Ad5WrShFKfoc7U8ZNVCrfn08LYT401ZEKbqUoOkFHzzlyo7T82vSAOybDgd8QOIDCIURADpic20NIFSMrbx+m6k019hRNb8h5/tw1uI5uba6ruj2XKXBnStX7p0CxcJnsjY08OlLM7vhcBjQzf2VFWJB2lcVgWrlzWTJdruUpSxlKUtZylKWspSlLGUpS1nKUpaylN8Wcl8RXfdHFFop4jTFSFTUEfgdJ1Jq/uTYez4COB9xbeT4OrYlwXpmpY1gv0gSTW2kDXhkAmdVmaWMJJPbn7i/51ttrg59G+GaW563twKVuIz2RGpT00SHWnddVCQSnYysIpWs0FTQBEWsWLUe/TSjI/ey000CB1nhA++FYV+QQalWbKy5LE69f5tHEkGFPPEEAKcffozRtuOU2Ng8RfYVR7d2UFcBKeMzDdVkAtKeWK+t8evXHTrmn77yVc/bR22qY9kfOP3AObTcx/mzDwQy82vXroWMpf/Rw48+yu0bjoB1Np+H6Wy1MuZC0HlfQTiNazlKltjMkjZ/5BFnC04VMxzxwh13j9sdyRqvttmTzHInidCCdKmjOkT1p2nKjqD6ViVL02olSFKcWV1jJLvSsxGVZFQmkmHspovrtaVZcDRZG1pqBzrbToSduAOX8yK01N7rpYGnaSrHfQQdyKGNtZRCWFkDbzvjkFyHkcsU3drdpSscTNM44tlPOW6g9bNneVKyvAPJdBfXX2e0J8/V6TN8TlA6//Cn/0/qWpoUrK/x2GOOVPrqlasAHBwcBlQgLFAsURSFR/zhhx8GIJ/nvPyy0+kszciE8Hg6nd1/1MSRmn9zzP4c06Uj3AUNKSZc3XZ6PzgnbdbXukw8GW0rIZu6uamjCu3Jc7OEu5Jp6cxdhqmVJihB3czrmpnYsTTSxMKbNzaeSNWETF5kwPrkb2XIfWbJk0K2YzLJ5NWVoSfnuNONA5eAb+XeKQy1FlRFbSis0/NMKS4IYm134pBDeWU5L0gbU7PgOFEq8LwNfLMPSyDiT2vLL0pDi1/YH7HQ+hN4GaxxTRzukRPeu4df4gQ03n0QpRQ6ikjTlFJQjUWeU1VF+NzL6dMuu7+3u8uzzz0HOELo7W2Hrp1Oc8584Jvcd4bOzq72W9wVhGk30WhZ66rIoEVHdJbyqpCHnpu587azhEg+n1d1QLj0bIQVGyCqQDutUN6umirwKVS2RkCmgbvBZjFaEFtlXiHJR2a9NHB9eH364Ie+nes3XGaw3V+nFtuirOYrv/ZLALzro65Xju2tMv9njm+itbNPLfZzbWuNVPiDeNZxU9RKcUrOsZNmPLPp7Nztj3473yeI1p/4yZ8M2cXRyGVpW62M8di9TpKURJCF09lscf+Be8sSdNPSQH0qefbux0InCJ+TEBzg9Puk9u9hTW8gvuoZV/ednd59yI3Jajfjtiw2veY6p2u0rCs6jXlNdOn0zKPcE5TXpbIOyIAWFjypuKAbWtGiiYg2JtiFCoOA7ag9QjWLQHyz+XhOX+z9bi9xSCtAljZaucGohm0SdEiq4MG+u4b9sdP9uiw563lppnNsLBwsVU1XdHTiTYxSKN+AozZ8Vvgsf+XgAIwbv9Fo6MFDgaN0OpsGvhutI4xH/LmJ4M1l8XkszlnwD99CiZOYU6dO8eKLL5LLevPggw8G3rPPfvYzYa7GwkdnjAk+q7E2kOebwx1e3XaIicEpNxi9fos7eH3SwVZUeuE3zdOYa3PhrMoFhZzEAXI8behTbGyo1KhFN9tNfbL1wjZhG/ok49mOiEWfqqKi77cQ3SRUlBwKkiGrCY96acHIWpdiOb/mnpfxtrMfs8MBr0gDnoe/56OMxm6s8rxgTbi5ygtnAeiMRpQvOg6mpCz4x3cd8uRXxxPOnnaIuLWNNZ7+vENlpLJOd7vd4DclSUJZNTndjskxztAFp+L94KC85+Qs/KOTqiz8d3iD74CdDXh96JAjB2fFb+q3uSX+Qi/RpGILSm2IZSymScRVqchZE5SXSmJi0aWirBfNL4wmFdvU8rxuqgy6FGEx8tyXxoTzedtksoho6nS/yquAFJu040DuPpCHdk0rbLBNFdLDhFQpzovfdDh2fpOpDKdkr1lZMOIfx9bZMoCZvwalA9p0pbZ8Vq7xVw52FkgutfBvAldrvUAjK21IU899vajI8dx8SqkwRwposhK9aQ+Ufy1Rcn1vcGB1wke2eSHRgpduZ5fXTj0EwKQl+rPa4ZbY436sSfzcRoZUqk1mseZ1qSBb6wjvYrJY5/LKBF2KakMia4gRP6DUZdjv1Y3tQ2kMsecJ9D5TmhAJUrzO6+AzjdtRsEsCXKZ9ZJ2rGMg0Z0rxgOhStuVsTe/8g7ArdOmf/E3YcbECem30tavupehE2e8wFcSkGo3457k78M/tLHRpf39/Mf9H+EsX4huJGVsHuzMVdL0xNvhUUZyEZj9a83U1yPiGC3QppYjihDhJyaUDRZOY/kSxhAXWWrtw6IA7X3Fleh970pFD/rFiSiJeuuql7AuEsFtZSumUM11NKMRpqT0HooXTArO7qQZYUchzWRq6G2bieHRKxb40BBtYEzYNUeUIy2FBrNaKdYAgPtBqMRfIe6ItLelWlsoCXB9M6Em50sUnH6cs3PgMJnNM1y2EiGNQliUbd9wmKL1wgU7uHLnJdEJLFtuzofMMTAR2mQ9H/MCGC6D9XJqghOTZojH4znfuVNt373LxIddRb29vnzhxQbjR4DAoe09KTvZ3d4nkgc9SQ17646rFhu5+Vgm9WUnHm0mzvMNU3LrsiGh/5gm3Qfrj85K+zF/ZU2xLyWq7MkQeeryeMg0d4tyfxCg2Vtxc3mSAEWe/lyae+55Edn1JbikEQjvXCuW7oJUODg3QEt2rK0MtsaLMRFS+04cxZFKy2BWHrZrPSFekU0g3ofTXVlQcSAnCXMoPHrn0KOOrLgDa29pkLsGp8sxpXrt82V3DzVsAPJFldKUWaTwc8p2yMP7d2Qgtz+ZwOOK55x1B9HzuQ88K72+laRpKNB35pbvnW7cdKas1hr4Q5mMtDwqx/eXLl5lNJ9xXZWoGRo4Yc9Pw1zyJ7j0/9l9gWxaan+25a/9BW7EiJTidLOV25n7cqTRqJgvYesbck0zKNXSsYkXIJG8zpJZA5qrSWHHIInH+kwJKKVedKIWS7yY1zPyV+bLBogpBio6KKHw3K2tIxZFr+6BqWRFvuCBw3E0p5fb1KF8Qu0qJ06wowjMfKR0W/ZG1JLXvUCufY8lE3/fqmu9OnXL/gp2z6KRzPHCNM1InLRonlExovUhM2CPlHooTJvAtFYXrplZWvpTJksvzkLVaYfE/PDyQS7bsCin2o48+yp4QEmetLts3nT59TJ6x76uqYJuUUuynXp8ssZST1etdHpMSmNiXoZuj+lSKjrSTCGl0RUvmVJdgxDbNlF4sbLWlsL4kQ5oNFHVYT1MiCtFNbQ3pxK2hiejTS5/4LI+8/50ySgWVkHfHc0NPyqlf/I1PAfD2P/mnaUl5NO/p8rhce/HSS+RTIYU/kCBrEtERfRodDnjsWRc0/PVTm3zLRRco/OAHP0gsgdhf+ZVfAaDUKiTejKkDIa/zTZol1siz3wx4N8omfkvInhclAou3T3oWOKrravHBvpBf/9N1VzL1h0zNqqwbWin2xTa1K4WVUpi1tW4gvfVNJZJa0ZX52GEQki09HblOZ0Dmh6+CSi90yXdarAzkcv1d39mwNmGzmbFY52JrSOQ62yMJtFQ1elN0vJeGkkkG89B1diplSdP5HC3B9AxF4UtY44iJJOTOeCccmHqdAL4ncuv9r9gq+EiddouJBEjn4ifWZY4JxRZN+/IvZ2uqJunvWyxVVbGzu0uv22MmwcvhcEhdOTtUVtWip0nozLbQsSjSYTOjoojbN2St67jE83dXdbBNkXJNAMDp01SCjr31Di2f7JJDx0bR8/qkFrapq3XYHKYh+AVlwzZpXzZtYBb0SRJylQmlj5nSFPJaGUMqxPRrskBWeUn/KfdcPPiOt7F/25H1H7z0muu4BphVlyBMog4rZ9w9733xWYzvQNrrMhU79MArrszx9HjK8N0uUd2dTvjBm+4Z/PVZFeZgnXXaUv7oA11lWbGz7Yij0yRqbDSbZN3+IWvaJt0wC42GLvdN3sj22UZA3n/nWCONht+0c9ft6X6u7+hYfm9ZseL3MipmL+gSILYpXuvQieLG8SAzmn7X6dJdhqGrYkspSrmOxA+lgdyXWGtN5DtxGpj4vU6ysE1VY53zfnVkDS2xTaszOfCoRG8525Q2bJMezlG+bFL2qNNhHp65RKuQbJorE9amnmweNJaZONOahW36ZVMcsfmx6L/v4F0aFfbSWusTgwzhObc1Sg5mIMxhFC30rvYlp2+pvMka+kYfNZuuBNSA5carzpf6hcdd8PS7qpq+JHwVsJP4JKtrIAUQr3bo+MP6wKSBNekkeHM8CDQxqQIrX4plrKpaYWWdK5RGG+9XgBSV0ku9XaqpBYCQEFHqhl8s8YGWJA9tWQVdSroZpuGDez9/78A9O3/4L/yn0Ha6P/7is6S+sUi3Q/eao6LJJPiVzeeM5i5wv3pqix8SH/1jO7fwXaSVUsFGLfZENoy1UiokdJRylDaEUfZdhN13D/b38NLUpTeTZeniUpaylKUsZSlLWcpSlrKUpSxlKUtZylJ+W8g3JKIrThLKsgiEZUop1wr3ni8vXh5p5hgyrCZ85zNXHQz4zz3Yo5LPd3eGKCGSTyBEp9u1IZPD3R257HqaGbZXJJPX6RNJNPXQwqq0O44FNeFa3AqMsUWA4SlrKX2GQVrdRkqH1tZFYcgFVbY+rwIE/6a0y56v9Gh1HATxpZdf5YFTWwD0VMRB5Y5x9kGHsHr4i8/Dk66k7PBwQOv97wFg7eCQ7jMui10LvL60lvnpUwD8TLfD//C6K31Jk5jJZOoHOEC51rbcefd3d0LpzKnTZ0JpR6+/wvDARWUHh/syfq0F0X6nS1kKIWBZgr2fsGmfLXqjbOnXKG9qIgRtHT765OsOKfDDZ7PQArvYHaG6vh25DeTs+2UVMgDXRi7q/VjLst8THWj1HekzMLGWRKLgiWSpDZa+DFGeQuyhsLUFQWZ4VIxFhSxoURlmUjLZyqsQ9U5XXRlBkUasybGwdUD9RWmbVwVBdOE9bwfg0d4qn19dc78fDDkUnVdfeg4rGcbuSBB9Sca5vUMA/up4zP/7jsvmdjpdxgLDrqZTIn00q62UCtlh1LFski9HkZKiVqsTUGfWmkBi3+t1iSLNeDzkvoiS8qMTkPYnE7raN/hvCQJJ/uQ1l2X5t97xQJjzvd0xquXthmFNsiS7ZUVHxuJ1sU0PZpZRV1BenT7zkcuWDK1FgBfEgn6wRKFddRETYNXWGLTYpkKex1YS05ElpCxqBgL97xYmPMv7bTnveiegXHVdEwsGX5WWPSm3bglc/+2dPiPJCqWYMGIRhAyjR3MUtqYl9/uTOuZ/3DmQcfwamcLj60ETzXkM2XlEz458781P8a8r1lrKqnBltr6teKfLw5cuhs/v3HX2dSYQb2thZWUNgC9+8Uu02+5ZPvPAOR66cB6AVwUJEK3UpKJPo+0Rtr1AoojpYWQMHRnrG2KbLmSGcUfmtd0jlSz0yFraMiYCzsMoTVuyhXkMrcTbJoMR21T68VWaTLLe83nNWIi+V20PK/q99ZFvBuDxd7+bzorLsp577HFelHKd2f6Qh7/tI+540jBj+2//KFuPXALglZe/yivPuu8+YBTr6+4Y7V23HtnZnOclm/ijE8vflbXuj//xP8TP/J//DICDg4Mwrr78KkoTWoJ8m07GnNg8OqASdCODvMhqYq1DMt4XUJc/T7M8KPzzxiXUJzZe0AEN8tnrbtz+6DvWaUt2dbA9gvbCtez7ZxVLJHN9e+Jsxfk0pRIb0Trdx4htGhlDS04taklFQkd0qUwUmUdvGUvudckukCkdyXqbcmH/V0Z1uI1D0eF2Kw1EuLqqQpmcLWswbp5bA2dXnmz3GUnmOWqMV7Sxztqhs2NR32XuZzs7YV3//0YxP7Y3kgMXGLGhV6/fIJW1spJr7LRaAdFelSUBwv11SUN57iMS3hpLURQUeRFQpWmScCD+4KJRDCzWb8IaYGpLJWU01gCCpvnNu+7333shoyV+0+FOY61TsOrXemvDOnBjKuWTiaX289rpY0WfZtYE29QVqpD6iG1StMT2mNpgBJ3h9ckqtbBNec1EbNNKAQKoYFdA+bqToit33tOPPsHt550/HdWWRDuN6PrPh0OsVFAMx2OSwp1Xba4TSeOolwUtkX3vRzED5y//g4MJf/GO85UiO+Pf/rd+EIDXb97mmlCL7O165IMNKIqirDhaeu9fNlClyjf5qgLqzk1h9FuA6mrWtJ2gy41v+WfWWbXG7+SaP3PzEIDf81g3+JLz3TFkCxTIiszvGFCCWrkqJfqXdI0R49Pu9KnFnyqspe1RTXKomDggBetYkXnbUxsKOd7ck8OjyHyDgrxmKj5tOqiDLk1kT5cJwTlAXNdEvnaxtAy83yTr79u6fUa+EVVjKLVV9D0VhNxjZQwd+cLfiWL+d2l40EQbK7VAYy4avunQ4KG/uhKqLaqqOop6xyG+MkFaz3wzOL4+8vB/Pfl6HbOmk+7R1scQtDJen7zmnrXvvJQRabcmzHdGwS5Za1kVdOgUG6omrsm69GBsMB03p/3TK2G9qrHIVp8k8WisBC2IrypRtDxViLHM5Xe58XZJ0xYUaD6rGOTOfiSzKpRfT8TwJevtcH+RqYk9e1BpqKUM+sl3uTiA+cznuGp+091P2mIo8/zwSo/bfbef2zzlkPPpwYDTso/8kYMh/71UEWxurDkaIuDSxQfZ9VVAUnXTFB1FCz9b6TA1PsZTV1Uon236MMaYgDZ8M/mGC3RZa6jKHK01eeG7Q7zRl+XvEb1XC+icyUE7RzftOWX5RFHylHyzbRWlwKRRiq4Yi8OqpL/mfoeHsZ9epT04dJ8rGwY2npa0hBsgFu9/Xqsw8lmcUMuCH1WWSB4cD7me1Av4Z1TW9AQ2eWAsAzneqi9nungudMarBoccjJ2StXt9Mrme9RdcjT8b6wz3JMh04QKtLVe6uXbuPIevvApIZw7gATS3xeBeaGcMxOnTStEWvorZdExLnP9D4T3RWlHK+FRVxcGugzraZnmQQKbz+Qw/UWVVLaoBj3z3fohalDYdMcAnbGjDx8cVzl9sjoqck9tecXP+ojE8KQfoGEUlMNJMK9riqM9MzUCcur6vm97s0pbA4NjWIQjVLmqsLJiRL8fQmkqMbKpjag+rxqAyX1svixCKae4JL2p6vrunVRyKA5BKWeFWO+NQFvLZtAocXPO0Tb/jNCr6zBcAeH6lx8MXpNuPTtCHTi+UscxuOKjrrmwK+2vrWNlMfrtWga9kPMoXY6l0WJS70tVpPs+pJUBs6qbDtQCmVvJ8jKsRiQRFjFVhQR6NRkSRPnkj+laJ0hzh3Tny2TFlagQxjmw2LSDdOrONNQBeLioek1ab/dKG4H6qFZnca1Ib5qIXPkDR2ujQmzpn+fqsQNZT0rIOJR9el5SOMPJMZnEcYNGxBQQinzbKMqeh61hNXwJVc2uZiC51Zb4yrUE2Cqmx5FJKUFlLvOac/8cPF06VDw5XxlLKWGkWXGJjsQtnlWYoQbr3JxEYD+5uOvE0XjfKyOwiaBrkSKDhyA/l46bu3N9Il9aaTrsDKHqyed7f2+PWLVcCnGUZY9kkra07p2NwuMdQOtmausZaeWbznJcuXwVgZN2zdye2PCBj0DVQjYUfUCtaYpsmRUkp89aWoeuudyjkvGNlQplGXFbUMjax/CZRUeCFaCUJ1sPsjeMqgYXZNSjmvmy6rALnW//cFjPvBIpD9cR73kNv1ZW9TycFTzz2NgB2hhNYd+/v/ZN/BsDs2nU+9xnHGXh6c53vUm5Miixi59CN1dWWs2ePVTW7shF+VxTTrn2HKc2lS5cA+OpLL9JqSwtRz+tTlZS5Wy+jKEJFibxfsXCiGzD7IzrmP7cB6n9/5QS9dVGIY+81yphQLOysDcGXVDq0XhlVPCpD0qthLp2g21rRFr/pzrzASGlxV2xTZ72DHjnbNDAmBPKZlqHMVft1TkVY4fnL4gRPQJlYsH7zGm5BBduUVoqu+EjT2pBLEG7dl5FpDalPRloKCTZYFWFl/XyH8EhibejIh7FEEiitd3YopLtgLnx6Zzc3uSKJvHemEZhGUtCX9NR12LR4X6jTX6EW7req/pf0f4Jva96wWd1bIVVdcXBwCNjA07O/f0Asm7KimOLvMfUbsbwIz4tF43NWAEr0qLPl/m6XFQ/48sEa5g3b5MtT53kZ1pSe5wnc6JAOnG0axItAfjWrwrPl9cmig6+UxXFIWKZKQbrYwMoVkottKouaFZmWurYcio6s+HbEqeZQAlKf/qmfwEqgw1owUnz0oNBWGGu58RXXrfrc25/ksT/4O905hmPuDt3mM33M8QS9+tnPkHXdWvnBb/omkhdfAOCb3//NfPLTzr7t7OxweCDJntA12B4pOz7S8fVETixZ65pUC2hUk6fvvkizBPENxLtN2DBfqlluaQ1KgiutFeHLnVacFvvQqy0z2dO1I01bEnnzec5EnuuudGXtnV3F7Ls5OEgNbdG16STH+OS26GKkosCllSWLbXWqCLrkk395veCns4UJwdZZZZiJbToV/KYo2LbYON0DpzdqwxncJ/bEXplFubauLYWMSQQU4kv7Eu9NFXFX9gxPpXqRGLQL8Ie1apHEb7itqYyv3+fdK2LbDMxm+eKtEF81vyWr3NcWdeyv/688H6aAyN3ryjmnS5OyohMtfKZ84u2SphP54GXJTGxMT8AtnbU25sDZ9L3UBhoIW1SU3mfywVEdoXzZfpI07JIFv5+TAawgrHN1XtH2NDk1jLxdqr2Ni8I6lxhLHeiBYC7gBl9euXswYEfAAPrWHZC9/egdT9H+1GfcWMhwrScZt9fdfu+brWX2uvOp5lMTAp3Tec7dO3fkF4tAu6coqcqKJJRa1yF45YNfSuvAExjFSQjApmlK8bXiQCxLF5eylKUsZSlLWcpSlrKUpSxlKUtZylKW8ttEvuEQXUopkjSlquojLP1Ho7NfKyvQIGMshdUfF008rzWvdV0U8uG5QbU90d+MKz2XsTtVzLkxdNHOxySzm4znZNZnl4pwihGWFRnloXTV0WpBCKmLMnRuyPMatSpkgZEna7XkExe9HOqaUxKxJ0pY99lxyZjZ/R1QawD0tWL9IYew2bs9REs3jrXv+TZ3P5/+HIWguLp3t7FCpN/d3GRPoOhdHweNNA9IJv2/ODgk9l0kx4cBvp+mWSBT9cPfabfoCJnj/t7uIlvdzB5Zn11qQJWtbWRujGRs7pfYRib7DcqSTlKnE7OlCjt3cW7bdpHx05HlqpS/XphVxILumw5mvNp3UfLNYg4td4/rvlPScIaRrE4/XcDjx9bSkf/MJdLfTmMKySLrug6tyWpUqPvwRKymthRyXJtGCxhxpFgN0+2+ezcvKH12pii5KhDYfqtDJaZj97TTm0du3uGOJ00cjjmUznCPnjpDJSVTD0jmt9vvsytE+//1l184ivBroGvWBbGxtuHQKuPhCCvw1cODAyJBCszn83vQCApFKYinrNUK77syxvr+Ibo8KutEwlfuRU3cewD53eIYtaCUzrVaXJduP+fbdUB/5oMZVzru/Y0ixwoSbFVw9fPRnKlHfWpLJVmfmSHokkdNZVFELZk+a2oofGYFlMDpI+mwMpuXGGklVKcRRjJLsVJseuLf0OyAQMBq8pqo53RhPh6jJLv9Su3u86m4E7rstdFHzIVHP5wTPVlTmjuSmfo705LFklYtxvo4HD28jN7g/Qbazl+8iDX1Qket4Q0MwVsiURSxtrbGD/zhP8wv/9IvA7Bz9y5TKQMYT+chIzadumxhHCchi9bKWgwEFfDt3/Zhbt11kPLPveYQBKeShF2Zy81JTSSZ49lgxjVBbK6XOUay1muiT7PhnELQVnFW05b3x0ohzWbxhaNxGlMIEqKuqtAFtjI2IASJFrapFNtUZTFaSnc52KcnSOV3/M6PAjAfjum915HDd3b26Gyuu+t9x/tA7nnzL/9nADz3nm8hetJ1cN346mvkT7py63YMPOVeP/TxX5crVmxIBvSn5nPGY3es8WTClatX3VesZSok9r4kRmsofZkHOmTsj8hJa4rSQU+Vilzjg6q456dviVj55w1LFI8/Lw39PlLeqwMasijdmn+h1+VAUHH9Tk0i9Riz4ZxrsuZtFCVGUBErsqZPh3OGgiCOWnUg6y5QHixBJWPcyhIm0kLK1hVK1MNYML5W1i8f9aJ8RGURReW7XOrQ5SxKhRrAgPEL7Lwi6bv70POESFozXhZE4SMoSuMR0yogutbOPkBLnrvi88+GEV0XG/7TdQ3K0wA0kMsQymALQdDv7+0G8uijNqqB/nsjCevObwEa3lqSNGF11Y3BZDIJHbItKiCq/TocJ0mDYsTg8Ai4h0eQH7Vy/vTpWDMUlFerXZEKyjIf5dyV6oKVsgiIrjWx1ZPhjIkgixNtFt1agUh53XKSJnFAA5i6Qsul1ZaAPPRdM021sE11KyIt/PwZNmWNS4XkPIojpjLVZjJh9UHXyWx0dQc7dXp4WRpFPZpkzhYCd7/8Ime/89vdtStN79GHAbjzOYeazyPL2RXnV/7nv/YZVqWR03d/9KO8+FVXqXHn4x8P/pTvIhnFUeja6yangdJplPq69xq+S/jSb6WctFY39gYnfe0IWX2MFfqKXBAi5061GYvfZNs1icxpMc65K+93yoI0cq+3RJfGgym5LxWM6oCurIBExtZ/3MniUClhGkh5cH42QOSbY1SLsl1jNbn4PzqNOS8dHxNPKq5UaPBCXhFJ5VExLkGQaa8KofvD6cJvSrUi8pVA1jITHfMdhdtYVuV+fqoqWcz/MZqY4+6qUgHxqrUONCkL8vDGj5Re6FKjO32zNO3+iBL9CJvIryHHvmDlWdEdkHXDSKXIVlcHXcrbFR2Z03ycc1PWuaws0aJLm6JLs9EcccGJjAll91OtScXf9ujSbhozEeojU1bBo7UojCCyIokPqNpSSnWLaSeYqaD4lGZDbJDXJW1VQNST1+ieu8ZoNsdI86jXd1zTitFXXiQR+9NfX2P9MddcI93bpxT6ozPSzI6VPr3bDq31NyuDkVbtinqB4LXNZ3RRteJtlVI6lO7Ll2hKc79WV1U4Rp4XX8eeaonoWspSlrKUpSxlKUtZylKWspSlLGUpS1nKbxP5hkN0OUK2GUrrBRrlOIGruufFCZ8BWIhd1uiiRCHzecEjpSdCttwauuz5mY0OF6VGdLjSoiWh/EoiuusXTjOQjHk+ryml7+xm3KaUSLb2PElxTCyRzKI0dIRHZVIptERyx761vYJNiRT3Ddz1rZVbCW3fulqizmVkae8cuusqa+a33fUkWYuqchno7pdcNn9satSrr8q5NAiPUvydH2EmyKwVydAOVns8I/durSWR7Fqr3Wdjcw1wCJtCyMY9Z4NSms1Nhxrb3dlGeSSEokFu6EU36sHVYp7Mb1UsVnFixv3YV+75/Ig+GZSgaS5Ie+CpLrgk6IeeMVw5dJm8U6c6nJYsW7HSCi2q9wXy8NB6h1zIa7VRxEKwuhFHATmnPCdEDbZaZJvaUhdeG0Pl29/KXEapIpHPx7ZiInwErSwmEv3Uvm27UtipRNxrTXXornda7ROnLi/+7nWXgc3HEzrnXOZyd/+QU3I9Zz/8QeyXHBlr7wmHqsi/9BzPTJyuFBD4AVQUY2tfb20ZjNz9v+/9HwDgmWe/RL/rzjeb5xR+HJTG4vmWFhmEqEGk3u27683n8/ufpLSmkYk/hqCwx19YsA0+r+bnQtB7URAx83HOw0I22TOG1wbu9anNLmcEQVL12qTynR3RpUtrXeo9N95tHTOO3fH6JqaQDHxok20VtvIoL0M7UDcYaiH6s4ICSlux49MDJroCQUjUcURfkIm+BXYdRUGXbGGpBZVUGUsquvJY4lA7caSpWWTfvd1YN3BAA62II9T/sudTqUoW+frmGKtGFqmZam3wdTU+XkxX8yFv/q5uvH//lKmuaw4PB/yTn/7pwLuSJHFos7yxscHejsuqVWI719bWWF9z6KayNkI+DM986QvMSjdvDwsaoRjPOSMNJlas4fLIfffs6T5nPAKg3aYQfdpP3H1fXO+wt+uezcRA3HHjv55EgXTWI7fqmgU6xWhSyXBWtaGWjGMm60WcaUp5FgZ1EXi5sqQmKt1xT519AIA7V1/j6ldfcte+fpq0L6iSzz7DO/7Un3IH/me/AMDmh76FweccAf04itj+xKfc7556gumVq+56ZHqfzqd8Ttb0so44c/ac+7wseFXOp+OEFUFTjISv0hgV7E1dN9FPJzkmtvHSBJ20KsaY+8hfoprXcFxOQHo1+QPV8XXYvf+wPEP5cM6mINpWjeEl4aJ8cKvLOXk/ztociD7ux+53F9c6TLeFb8Mq6pa7+/U0YSoNFvx6ZMwC2WwqS8vrkjFCIgipoM2TTJOm7r3huGJeuO/GnTg0EqLB0VWPJHNfGDKxicNiQnToXr9NuFo0NpiQSiu4fhOATn+V28JBeso3BjE1X5QMfG4yjjTIaNojOWAlfpxzZxuo0aYunYTGayLSG2hTz+16P/RJodBRxKlTp9gXkuFer8dk4vxMpTWVVDD4FvCmrkMzkSPcY6YKnDQXhqJP7YIV8TnXjOFlQSo8uNUj8Y1KsjYHco49eWYfXu2Q7zh0a2IJHKWracJs4vTJr3XWqkB2Yyyk/pKspZbr8b5slKiAbh+bmrlcW9pOiQUxYQX1UaKIZx7dY9l/xXEqFpVhQ9hy33PqNACz0ShUb9RlxXM/9g8AeNvjj9MSYv9HPvAt7lg3LvOxa85P3xnVzGbuPv/xT/80d+86RMVwOGCl730kZzPrqiISX6KuK5qIimAPmvYIj7KIjujO/eUQ92vsvSjqo19T975u/sxWYB1S5ZLYpnI4p9txenKmNjwvFQ8PbfVQ4r9kaZtcXu8Iwubh1Q4Ubp3LbBSqI/qdjOFY+BjFBkUotAyQqS1teX5rUwe9aQsSsdOOAqJrUJfkfj+VRAGx49dMpRa2icpSSROP0iy4vR5NHCI0UosqjwKFlvOuWcUA30BDmhlZw3OJ56KKG+Pd8HWsCQTgi622WnBqWktZeiTXYhJi31yjJjTaqI2hFj/Pvmnzr7dC7IlINDn5UaAgx14310hbQuT2DefFdy2oaImenDKW5wSm9chWn6ihS4XYpW3Zlzy2usZ41z2vOdDpOF9hpZMxkKY5Xpc0KqxzdWUCYr6qa4zyPpE0K0g1hVzvoKqYy5S22lGotjIy7miFCbpkMGIPh0XFlujrk+cfdNeYl+SCjBznc3o33Tq3/rYnmQiSqx07fb51/gGeFiRicX0XhSebt/SFW/b6tWuNsW4iu7x+Lfi6wC4QXE2u4/D5v7zufMMFurTWtLtdt2E9yfKqkx6iYxsVGoOXDwCIrdtkHZSG2YYjnvvmG0MuCcHo/rRiJD/rHE4xUkoxOesehOGdXWKB1XdaCXMhrDvcnbHRk8496aKDSS0lP6s15J5IPLZIhSAbfSEzvzNgY8M51cWsCgGiUV2FB8ObqAhCWVJWQu3LhlY2aHedwvluPrP9A+YPSknZZMZUggq3r1wJ3azmAidP9g+ZX3IPwAsH14PjkqaW+dwHbk6FMo8VgbJvnTrFay+7zQHWonz5nGmURATdbW4aF/OlTiLJvS9ygnEM17L4yr3/0Y3vaGwlDQDE6dnTNftSCvGu3QkPi97k44JKZq49GGGlXPZQ5v3m9mGo/+lspFTiyE/HObGMv++qUZQVEkujZxWV7w5UFehCYKRSdlhNKtpCJDyYz33VEKWylJ4YUBbLyNqwOHVmJR3Rw9pG7vkDZrKJ2V9b5ZF3uDKglV6fS489CsDzX3iGUx2n/z3ZQIwvnGfmfD8+9fqdEMhQWlPXiw3V6porWXzt8msATEajcO/9Xpd9H+hqkluGF4pE4MF1XRMLOXSSppTF0dKRt1aOG+hjEtTJb0hsIF50pb2NEoLa3V9LO8f1sKqZbDnbdGFnj0e8Lk2LQCAfD+ckUhZ4sOLG/fbOAcI/TrQekclzONyb0vI2wm8ay5JSnKw+ilocr0GRkwo0f9XXYucVq3INu3v7tER/CmXx0zj3yH8sRpQ0nZZMvS2clZRyPfjGCLUKut1SCiNjOdKGVQnSJmITBsoykhLWz41nSL8hjnRqPeJYNeb9hIYBqhkTC78/5nSfGOR+66XT6fD+97+fJEn4+Mf/LwBWV1YYDNya1cpSfuhP/AkAts64jdPPf+zn2ZYN9wNnz7F/xTkYFx68RDV0m9BMApWjeoa5sAZA+cJtHpK5LCd50MliOGJF9GkojvqtvUGY2Gw9RnsY/mQWHFvhDKfIi1Cas6IsVj4fViVxKQ6+BPHLSUUmG7JyPkNiHuj+Cv1N18n37rbb0G2eOsPrV92m723vfh9ImRNnz7L78//c/U7KeYZXr3Pmcddh2N6+Q0fmffLqFS5JmeNErsuYmFoU4IuDEWrmPv/qK6+GUukkSYId2jzl6AG27zQ6CSk40b4EmL461tDAbyxq7NdDvfCvJF8rKHtSUtA2rqX5DCkwvhGG05nD0qDPrAFQPH+TS11ne6azwj+RjEcz1sQXGkmzlut7h8Ti86TdmEICYOPBPJS++S6IRV6GJj19rUJJ7SiviKWr9Jov7SgNLXHE9yazUMZVRgpZmkOjDWebpGHCtGAsZZDVOKcWO2IlIGziCCVz11JRIKa/MxzQ8V2hwhKgmQutxDP7JSifKZgdGebQkUx0P4kUhS/xUxHW+gBYIxFyUuAeQpcwlHIlgQA1b7lYLMYYbt68hRb7ned5KGWK40VZoO/AaK1tdLBVoHyJHZjKbapWVhzx+mi2A5vOZy2273BB/KPRPEfaAjAcz1mV96crbq5f3xuQij4l3ZhalGc2nAV/QMtaVxdlsE09pYJtGuQ5kehTW2xFOS1JfXf0WY72JUu6sZuQKdHKkoiedmYVQ1nr9LTgUAL2Y+vGSWmNkgBnO44D4fKrr7/OpUdcuVB325UTHUQxAxm/L03nGFmP57MpnbYbleFwROkbvVQLvanrRpD1RKqIZoDppADp/fTBm7bJLv4c8ZWOn9+GbnTz/Fipd+Wer1bh/Kb9wrLy4BoAt3a3OSdl+aNZTibPz+Foxoa8fyA6dWN/SFcClu1eykz2dKNhThp7H9zrfhlKpVe0wkjp9sGsoC3PdSy2opwt1jk1m4WO13WkkG0h4ua4Dutim7JJydyX1E5LCj8+ct7aQCzXk2lNLc/lgbL0BTDgg19aKeZSMv3F7THN8Q+UQJh7zIu1lm530YhlKsHYOI5D0wlPrYDSgTS8rhtNWX6r5KSkQHM/eVLw63iZ7NwFp1p2HYBBUbF+yfkiN56/wRnxifZnc9rys8PxjPWOB4m4Mb6+P2BVfKZONwlzMx1OQwMWnwSczwuXvAFWdIQRvdnPC7qyj/HdCPNZTSbv2ck09EmpGrgRr1Mxi2B8Ni2ZyFrJtGRfbPTw4NANTVEw33Xz+MC3fAun5Fm7+/QXOPcB1/naPuXa9m0c7nF4y/k/nzucgHb33usuiOJtY4yjyCcEK0fjBJiQ2oajiekTyqiPxXh0I5HyRrIsXVzKUpaylKUsZSlLWcpSlrKUpSxlKUtZym8L+YZDdFlrKYuCOIkXLVqPhJ3Vva8VLIiFGxlTFeMRAC/tHgLwxNvP8EEJp4+2ukSSLLhBTUuis9OqJPJE0RMh39za5EnjINxfWW0zErRJvaGQDqQMffbI1CRCTFqpion2LcwjphKVnHmIYQnzmZDNKei1Fi1IfUS/mAryY16Fwh3bbqFX1tz7wznJrX0AJoJQSy9coJAM1vTRM5wSgsHJtde5I+3r+xdcmcj5lVWe8hlv4PyDDwPw2isv4gEht27dwAqk3JfTYM0RUt5Fq9AF/PXEhDEcgeN7JFjIVt43eaOMwwkQjhPaMaM0vmTtuQM3E+95+zoXJKo9O92llgzRUNXUXacDW1isb20sUNhhkfPUmkNQHbYSKikl6q130DNplS6wCV3WpJKxmdXG8yeidRoyQ7uHbn6T2jCVbHysFalkBoyKKF3QnmrozpXNqzANZayZHQpir7tJT/Q0uu2yjZf6XWZfeAaAVqfLUEqtzivF+PJVAD4vKYYHsjYfOnVKxu7LoVXuSq/HUFoWtzsdisJlFA4PnA6trq8zHTtUytr6OpFk/PN8Qcrt/xpjHEm9e1MySmBNTRRF2Oo+61IgBT6OpLhXx/w1W9tEcyyyGi8MXVbpw297mAuiH/MzfayUNI60wXTcWGxiqSTz3JUStd1yznsFQnwr0Sghu9481cMMnS54WxJbS0uWhVFVyzXBeq+Px80dSIlbVFRMpBxntZVgRSfaSRLQFqUvjZwX4c7zVJNIZmmlgeLx2eXSLEp0qtrQEQVpN65zV9AYmbF8QEjwja04Cl/w9v8klMwCPWetWZRVW8tRsvnGccLvnGRpSl4cyya/hTKf57z00st80ze9l9/90d8FwMsvv8yZM+7ZmUwmPP2FLwLwF//KXwLgR3/0R1lfdxnH7bvbbEjpeBItSGRfl3b307dvsiI6VJzuMhaEwFjVDX2KqGQu2qJ7d4o57xPU7qifMpPyhe56h0jIlseCQjHaEos+7ZV1IIS2SSsQ+d45kBbdtUGLPiWxoifl1vVoyO2JewZuv3wZgIvveT8X3+4QpNP5jMiXjfzqJ3n+V34VgOjZLwNQra9QC1lqdTDgye/7vQDMrt3g5qGzU4OvuJL+Tq/LtwuaxgBU7t5efvFF+mtr7trSLLRW39x0qNNOt8ts6rLb9g3RwU4irRalW/ZYBvm+Zb3tscz18XOdgHpsPgtHvr94dr46cWvCh548yzmPvDrTZSh6NVUG1XPzv6VicllvOoLuvJ3PeJ/YpttZRCl2obveQYkuTXwbdGVI5Pf7RU0kvluUtkP52M5AytrKmky710mqQ0bXoFFSEjsbuOegNV2sc7NYY0TPN6d1QPF4lJ81JjjNRVXSajlEfxsV0M1zj8YwlvcLRN/kE7DzxUjKd9bXVhmOnG57nSiOkPISShCPlm94sRwp6fA3YrkXifoWi/e7rS9ZiuNAKOzRHc3vHXWfdHhfxwlGOpV84ZXXAfjAhy6w4sfjTJehUHrkqiYXv2mDiFL8pla+sE3vkcZK26kOSL32WhctfvSo9E0jFuWdB5XB630dZUFf7ogfl9WGBF8yGYXPIwNI6dlMrrFlA8gGEyu0IJU3pjWJ+PoeX6UiFWxXYQwtmbL04JDXxbb33vsuAM511/g3Og6ta6oRGKdPl69eJ/Hlj6YmFfSFF2OO25cFhUhohBFK1JoI0yYFg7y+Lzp13AYidsc0Pj8uKiDWjipWLPs6+IqUXn3g7Q/T83u6Ux1KTwVBzUwIuTcV5OKz9GTybs/nPCi2aTdd+Iz9zS5aNnVz2dPUtlo0SqpNaOjUbfdQ8p39gZRwVxVT0SUTKzqCSNFRFEp7J1JW5poXyP0nGi226fSkIhbb5H18Y+qA2MqrOiDsM6XIfTm+zF9iLO8T5JU1ZWOMFS1BevnS8XtGvmFvfDOWqqoCysgfSmsafrluNJ36rUJ22SN/wrmP29A3alaEDuvflw7duH/rB85ghV5herpHIs98gSHvO11an1hKmdOecCLczmdckOZa837K3O/nNnqoY7pU6Zqqdr8/KBclfb12L4zh7r7fz9VMhTzfJNr3NAM0SmzCVI6fTRdNuHSiUeI3n5pUZIII3b18BXCoxI0th2Kzd+4wzJxOZNvblK+4CpvLglrMr1zl/VJlUJs62IjxaNjY29hga3xVmqLpazdswImVes21Tb1xodUbyBLRtZSlLGUpS1nKUpaylKUsZSlLWcpSlrKU3xbyDYfoiuOYja1T3Llz5wh52UJOeG3BhwAVOkQDra0gdRlvJYR+qkro1y5LaQ9m3F11nDhJoqiFHKA+26Z96I5dzV3W4F9cGfDD5xxPSr4/Zy7ZFq0sw4mgFwQV1csSKs9hEyUoT0BvLS2JPfbl0jezFjckA7GpQHnCurwmkgxD4LIoTcg8HoyngQNlP055p+cXEB6tMl9hJmzAK4cDpnKs+sp13iUZjamQ2T8zm/O/SUT3cHBI6gk+19YwUvtvhyN0dFSd8jxfZPsiFUiUlbXh/aNR3MZ7nrdJKTLJUE1nDZ6B+yJvkFm/h7SHI4izxWVbyFyG1xMTd0zM+dplRvKdMaMVp08mUWTCdXSnq1ndlyi3R6/0umjh0jlVRQwli3CYlxhB6miJjMdWUUrDAmUVQiXAVMFMyCt9S3VdVOxJpH/DmIDYoTChWULmOcCMQbjqmVY19dgda5r2eKoj5O4jh7A6f+4BXhHUxcb6GgcvOX6c7Kuv8Yhk7+Ouu/eb59v8x5evuffSlEoQRrauQiY4UpZY9Gkk/HG1oCgAWq0WUzkf1tKVzFsiPDqHB/thuqIoZn9vX/7nOCjs/eScUBp0g4yexktl73k78JaoBt+bVaHWXUXu2RtPYCtyz0C+M2YoHFwmhmzFne9OV7F64J8zsTvdNjpzn5+qIw7l/YN5SV55HRL+rXbKQK4xS1KU6F2hI3Lh7Ov425kX3JL76Nc1bdGrrKhD9rwlmc24Mr6ZPGVlMIKEHdQlT8g8a+GfqIwJHAVdpcLjFxkbWn/n8vnlWPHfeDLWOKEObdSb424CubM68iwLR4zWRx7nexplNFuuN9YSR1zvM1L3ByGosHzxC1/gwYccR+K73v0uviiZ/g98y4f4d/+Dfw+Av/Xf/U0AOu0uf/AH/gAA//uP/e+sShbxyy+8wKwQQu1U+CXHmrR0TQrmO1NGgliuY0VbuAK3uxG9A68jbpA2eh0imav1uSaRrP9oXjGWDKbPYidKUQiCpp3GgfV9rqLAAdn2g5+X7Mpzs24Nc+M0ZqPVC0TRK+dclvHbv/M7KUQXOpubfPzH/6G7p6pmRTLRI0EWv+93foSh6EOVpNwVlOF0MmZTMpnIGvPCbMp/JXYuslOizI1ZWRYBNdTv9xrZRfc3iqJFxlrpxvJhSWQtqHzDiEb2O221mYsPoXQM2AWpxlstKvxz/E2OoioaSPg3YuwNJPXCuTYsULUgBHamTFeEjyrVZMLHtduL6O17/XDPy3qvgxaukNNlxL6V5hZ5xTzAYkT/lKZOZc6zNOhSrhSVIB3S2qOcK7YFPbNq6oCwULVFyXc63m8qqoADrSoT1rk7pubtcp9R4u7BKALqvqc0yqP/8pKLgjAbiU90PYK/kYm11LMFzAeIZf4PDg4DiiNw9dDQpea4N32kI8S83qY1EDj3Gc2llCJNUzY3N7m77Z6zNEmC7czzvIHkauhYWP5s4HqtKgOyxumWW8dnhzU6kudie8JM9Eknmpbo0343oi9+uBJbvtHroIWj9HS10KdxXjKuj+pejMKK7mmlKbztUhFzQeJlHn1QVkzlOV6zC+9V1WbBzSvzmJZ1KCCxlcFO3LFuFjnvkHU4FvtZW8Pme9/pxuH1m0z3DwHoKs0pud7iC66Zz7X3vZO/kgk/ks2JBUl28aFHuHzFITGsdUhgAK09Af2xJghhsWvuhfznEQFJZeugk1XtkV73w2/yOrxA1Z38HcLnSimquonoavrrnv/M6dRkVBFJhU17d8ZYkDckmu6a++5hT9Pa901TBLnVaQWf5FSu2fPcjrOS0EtBXmQ6worJi3VE5RuPKc1MENSRb8xTlAzkWCuK8KwmtcLKdXYEXRbldcC1VWUN0ozsVlnwZObWLs+Raa1lJhPZUyrssbSxPCDDWsr+4kas+O+l4icez92xZXg979ZJSKdOp83Djzj+3Vu3bgXdsoVbI924y7VrHfytJI4D+t0c96/ui6iGKjVQr/YEtPWRdbGJ/bHQcf5G1HZ2fDpNmOY7AKQ7U6aCCNSpoie6NOoqMvHBPcfjSqcd5ml1psMYTWcL3knt7ZJSGKncipXGq3muNKVUb6Ue/VWUHIjN71njCA8BTI2VuWnLeeN8sc6VxUKXtquSJ6zwiPv1rJXx6Pf/AXddRU3xm5915+j1sK85RNdpGdOnd+7y16TJhi3HKEGYpWkWGpJopcK8mwaPpBUfL4riwOd25FEOvrZpoL84gvra3HCo+u2dO7yRfMMFuqqq4mDfbVrtiYv5SWUqi5GzGEKXM5UGUtXve8iVg3xXu2Jn4I57XilWxcGZJobre25jbVdanNvwRIjuUOc6GTeldOFct41VHgatGIkjOxdY9yvzggsbbsFKYk0pgaNNpdj3nYbE2Y3bSSgZMXHETBRxqmDTOw0SpDKVofavrcVE7uLOP3SJleccKbw0kyE7dw4t4xiv9qklYHH2kYcxN13pYnTKKdDF9VV+9enPuXOVE25eOwTg//EX/lNev+4IgT/2cz9LXvouO9IRImuFINxoNCKSVlxbp0+zt+OMRelLf4451X4jYExNnuf81ktz53vSZ97hXJRxoCIQ4/JD73Kkqm+3Y8RvphdFRA0S02jk7r3sxNA7SgpaKZjIfa9mCbV0tEtIGAisOfWbN2NJZcNRa8VYjEtsFW3ZGORS7mizFCWLmopjpn7zpRWbYmc8aXhd1kxEnzSEwFu2tkbn0OlLLTDnw7VVhl95EYAH3/ku+j23gR6uroSNMFKKtNFq89zkUI5bh/Ebj0YhAFXk80Bsa0PJqiWVxT1rd+j0nFM8n07IZEPqy4eUUrRa7toc2a8sJjpeGNr7JffYpaaTpo6+ZRrQdGhAfQnv/8GnXJDjg1nJVLpPtZUOZadzDVrKCctuHKKafpEwCqZC2Bq3W1gJPLTSNDSTqMTJP5gXJELGXCvNSDrutUxNJOWCcylxq5KYSGxTK0sZi77Ok4gtf3tyXFMZSrF/Smsi6dLCcEY/9kFa91ZuLLF/DnDdZgG6KmLml2q5966Cz951toRywtHuQWFUgz05wgEuYo055tTZo38bwS2UCW8XRR4clvshdV2xt7/HpYsXuXXTkX3u7e4GMtjJZMSv/vKvAPD5p58O1zyVzmePPvoIt2+5xT+OE7RErf/IO10TkifVKDQ/SRWhS0+hIRovbJMW22S9birFRPRpLUtD6U6sEuYzp0+ZDNK0NnRCkCBi4tcIW9GWjgO5lKjZNEH7siKtmYlTvl1VvP9tTwLQlQYVO9vbPPpn/3138WXJI484e7u9O2D4K78GwLm3u9/kpmb1jCONn+zvc+aMK8m/9uoVMpnXrpD5p5df49nxAeD8Kl96b4yl9ptepQLJ6v5oIMNuufTwwzJHe6Exiyux8RQLi0CYLyeaz2YLB87URHHM/dkHKBYNMMzirXu+82bv3Rtc+X1PXALgA13LPHcLXaIIDS9KrUjGbs5HnQQttqmWe64bupS0W1gph4iVZia+UCanreqaTPwJpRVD331PGypfKivjGmUpcempEnQITtVKs+Y77fl5KU3wzZRWKCEYtpMxPQks+DufV7W49O7NttiuXlEzNEdtU6bg6W1XaoZZlDhHkUaL3bAsghD+2q01R7f1IXhVN/ZrfmNqOULL0Qiw3p+ghD+tpSxLtnd2sHLdeV6EM2odkUoQyetFc1nUSpGKXZjNcpCg1x99zCWe35bMmAt5c6QUvYY+xaJPVTtGdeX9xnox8/rUaVN726QXa13bH6s2ZIE2RDORvUCmDEpI7OeyvlVRFAIVpVbBFlitWZVkkfb6VhpyKQvSkSKSJKQezenFi5JOgNpYRtdduaYZjNnwTXOMZe4TMeJPHzz7ZV7prcgP85Bs2N3bC7ZFKx3Wh5G3Qc2Bt4aFHai5xx851nTCb1Tde/drrbPcu243E1U2OAfepyuKorHXbVyzZbGne8o1IHlXa85cuualiqBLRaSIxQefdhKSvvhTVkABkWYudl5nLbT40ikxh/K+t02FMWTZImjq92mJNcSR95tkbUtirOiVjTUTT1ej4Iy3i/J5mVfY2uuBQrW9Ls3oHgMWVMYQilbtIrmdKR10ySdgE2v47A0JDNSLxm4u6Sd26B4+GZjNZtySDnzWWtqS8C7LQUj6+YBGZReBS5ukx0po77ccu/Y3jBXIVwP9jHFxAQA0yDz+4Xe45+7B6oCJ+LSxWtiSOtIo0aW6HZPI4JchwbrQpSRNiDKvS0nY56VyPbUxZMFn0qEcPFMl0l+F8XihS4iuEGkmsiYqdADLGLFFVIba2yWt0G1J9MxKNjvOZkSynzv/4Q+wLuCWm7/5aTZkTduYzLjim4wIcX2rnPN56T6tzJxErt115FRhiO+NylgS6WprUYtA14kxHBp+iz7yse/6+2ayLF1cylKWspSlLGUpS1nKUpaylKUsZSlLWcpvC/mGQ3RZayjymWSx3igL/2aZycbvVASxlAXJz6vBmAekNCzrtx25GpDVmrd3XZj2lTynlbtjrG+tAdCmIDrl0CbTmQ1EgWVeEUv2zaOpOsoyH7nsUtxOuS5Q0dVOlyx2Ec5M6s9KahKJsE+rghVP7meglPd95qxILQjiwxoTUC5sbgTCwrLvIJjFZ5/m7FMu4532VrDSen7/lVfoSWnL9alDsH0ai5Xs5x/5I3+Yf/iPfgqAn/zxn+Chi5fcfcQRmZRmWons5/mctpSGaKVAslXjwSBEZz1xpsuQL+YtoG6sXSQs75u8kc6c9L03eV+lKJm/Qoge63zMSiHw5rVOuJeuhZkvZcgrOlOJOfcWrX2TLadvpgJPp6uLiraM3VQyiS0FbQl256mm2xbdM5qxIH36LXnPVnTkekoiD8aAypBLxiUQWrZiTgmYbmptyJpqYzCi0x3jjjt+7su89w9/v3u9t8/ZjVUANqxl6tvAC7LxZy/vMtxzZbHZSjc8Q+PRgPFwICNqQ0njQjSFZIexhpaUOc4mlpH8zmeNer0ebclSbGxscvPmDfm8Ppmb/C0TdQwdxBGY7T1Ei0qHEkOFkfIlqI3GZ1ADOXE+pS+Il9Z6l0oQVh1jmXos/bykOxOSUiHtraxFbbnn0OSEzJsq6gUEWi45UYQ2yUWs6LWFbNTEjKduPro+PWLLgA6cENEStEVd1sxlHjzR6kGiaBuPCHIlROCQhKVkxaqQlVYkcl1tVEDHGurQGn5bWtP/JiogBssmGbPiCFJmwYN6b0mpjqLQEEHqEY9+58ic6SOmQh2f67dQFIo0Tvj3/p0/w6kth5H7G//d36I2PiunyaXhwlPvfAcA586eDc1EZtMJFy85pNOzz71Ep38OgFyQB2Y6odvQp1KGpm1dUwsANa/o5DKOXZ+dsySbvo5/Ye9VWdOXeRubRQY98ZnFVNOTzGBRK4bSCKGXNdqZFx55E4Vp6GUtXpfSnD/11/5dAF557SqHn/gEAL/+sY/RlyYrN29v89gH3gfAqkzU808/zYPf8REAHrnwIL/2qU8D8K5bt9j2xM0r7vfPoEJJeFFVxIlHYFjW1x2a7M6du5zacsiTycjbnZrrVx1RvrWE31m7KFkMKOW6gaQ4hua0xtwn2+RREwuC3ZO/A197LVx87ku8UlWTiF61N3rk4uz0rWUqGXDmJa25oAM7C5RStOl8EjtvtLYvayIZt7lcVzvSxL6UMI1ZFdSNtTFzKYVOEtG7qD6CxvFrmiqMr3gkkXVpFmkSb2OMJfEIJSzWoz/kGoyCWD7PLFSS8Z+xQKHuKHfez6uIRBCoZQPRZYyh8LZORyGTbUIZbBz8o/pImUajiU/Tnz0yXd7+Ncvg7weCWaGUpq7qUHpZ11VAqlV1GUrLji55Cz/dlzqhFFJt6EpqAJNP6QV96jKXz1etZerLwuYVLbFNtivoBAXRRks+N8S+wUlZE1dHG6941CFAlkWsx4LiqjSTodO9lbZvwmSoc0GbaxUqhKLCBJyTEd0cJ4pU1rpIK1K53rmCWh49Twqeba6TCyKhYxVDKW3slxWJ/O5O7cbp80rRkvU0TSPOnHZrwt3tnQV625pFOdkR5PoJ+tJEsoSipoZtUDFHCOHvU3n+4vrsyf9vvAwNho58//hr8QfEbzLFlL489NlKh6nYpp6BmXREsdOSWLpItDseoayI12Wdm9lw3LqsQsmyrzXJtCKRgU3TGCXVK3mtGR+6+esIU3hpbaiayFGhrLqnNCOxp6uZW5fqTkKS+/m0wfbMFRihivC2xCpFJGtXhg5NMTSGWIZnR+b581FMIn5EacqwJphGI6Cj8+HRpoqDA1cJtLq2xvDQrX9Kqcaezf9Riz3okeN9vfutfw05fnjbvKc3ObcFpNyZqA2yn5t5hN1oQk/2Xe3VLjPxwVvWhu8YLPHMjWfUlTLOCNJ1Kc+uFL6qzFQ1kdil3O+JtSLx/ngak8rkFbVmJM0xOuIzVVimsp/LFUhPMrLSUHsqGlnnikiT+HXMWCLvg9c12al1d59+H6kijDQU6z9+ifjLriJsb2eHrbPOj3x1z6GVX8k69EW3B/V4gaqOEqrqpGosr0sEZHxypIGGanzzuE2QV766APV1Veh8wwW6wNvnY+UmR3y0kzzF5u4kDn//p29yJYs9UbYyXWPtltuQ78VgxGApWzMRaGpZQ39VyqZEsXThFiqAKonoSPefl3RFJJurWrrkzWvFqkxsrHQo3annBTNZ8TclAlHX0F9zG/Y4n7Mrhn4zywK/jp/mJNbkvsTNKKp154yvvfAysWz6K/l9Vlbsfv4ZALYGY1rSGS9NU25MnPH6fHEIwJ+/ux2g8tPZjA992+8AXMDq6c/+plxndazsCsr5hNOn3uY+ryr25cGwScL6phv30dCdg4LA2VDX9RHv6L7Hud70DEeh3Pd+rCAS3gSd8jff5+6r68si1tdo3XYBw0msgxGdm5pBXwKDlaHVEh4ymfciL+l6q6UVW4JCv5KZoE+JLNh5ZYjEuMS1Ca5KzxoKcZw8D04KqHZXzpEzFijrapxSTI/yG8VaE4nOZ9aiOy54tTKa0tuS+1x3kN72dMr2l54FoLV/yHDsnqGzxpAN3Ly/LMHb//zWDVaEOyjNWty95YJQURQtuv/UJz3DdViwbt26GUofoihiZcVd29yXz83naHEgplaxKp2YptMpKIUp7hdPgNeXhkF6U/Vq6LmOAo8dWP72hx4BYMVvGForxLddQHoWa5SwXo1rw1AccmsMsdcl2aNX84pEHD2rNFtjd0GX04UNVXK9NWBkDvpJTJX7gJNZcC3JNc+Noi22qSxLDgs39htpa6FLwdRGFPK7ujYgvISPJa2gu36jp5WilrmLrArlZUoRSpRel03uf7kzYOGM09jEN4NemiPdo8K4y3lrs1gTZOyPiFKNt5p6o+4r30QUR6xvrPPFLz3LCy+84N7TsC7le8996Tk++YlPAvDEE08AcNvUvH7DlRZ0u132d/flFiL+ylNuzepV0h3w9Ar6jtOnPFJEskGfmTroE8aQSsnxTOY/n1d0/EZOWTbFNl1v2VCC5LsSl7VFVMjZJuudesjFNnUkyFBh6XqOnnnOWPSpMx5w+m0ukIcE7gaf/ARG4PKPPPYILzwvXRMHI3qRrK2PPgzAY0VJtets0OFoxAOy1rUGA/als+vLQ+eE/pXbr4fuokqp0O0WLFcvvwrAytoG27ddMPHRxx4H4LUr1+h13DGGg8MQAGl2hG63XECnLMsQ3KiNDWtClGQSjzrade+tEcViE3tC4P3E4Ncxw9Xgt/tvP+j0bUPmTrVjzE2nCLmOSMTXGZuaSdClGiQ5UYkuTecVsb9dBWuiS+O2JRFd8pxKRWXxO7Z2bUK7sZXIoiSR0wq0FJDKeOfznHEu61wrYS5luX6edaopZa2NgenA6d2lrNOIdXueMIVSfi1VtGQzrRUhWLYvpuav7h26siCR1EdzlELJuJdVFWbD81MWRXU0GOEDDM0MTTPo0Ax+Hekeex+D8ApX5mkXpblAo/yEE8uFfFDMWkJyIUr6/PX3u81TR+Zat9eobgmfbBTREns/rkumMtfUBiV0Ckb0aZ4v9EkpWJ2690cZFDI2bRmweWWRHDFRteAr7SpDKeeQajVqq1nvubVubzhhIoGKtTRhMhceGt91LtbUfj0xlrkEKh7O2qE8P3Qgm83Yesr5yMWLr5LlntMG5rL3eF020//0/EX2rrtg+p/8E3+MT/7GZwA4fVpxQ8rJMCZ07FvojW74GbbhmjTWyBPFnjiH90eOX8fJ/1fK81Etrkvr6Ei591/7kOOQ6osu1UkfZJ0rlCaTcZ1Sk8s8G2vRss5VqU/UV8Teb9KK1bEEFDoK5dc50feytswDb1cdrqetDIWUG3q908bQk8TMNC8YSfJ2s9WikMSTDw/oRFNKdDQCZkP3ycW0HRIyqpEg9HuwWEHL8zkrKGRtvykK+Nd3D1zW0939kWD6Qu59rZUKvvbgcBA4+ay1C9BCuSjHzuXelNJH93f3saz6iI4fvXy+NmrC4jneAP7au90z3yqFJ/jUCvqu28/NlSYVXZphKNsLqhXdlo7RoktFXtGWtSnRsCLImllnUZocS9mh0yUZb2vDY5xZQyZrqQc7FMbS23C6NM5zRrK/77UzClnnQjI2VlRelyzMh+67D/Z6lMKXevED3wzAw08+zmXprtgajkm+6nwfqzV55ezLjVU3Nn/uyi2q2v0+UnpRvq7gyEJ2z5wsfI6yKBa0nwqMaS6A8ubRDHPj46+tS8vSxaUsZSlLWcpSlrKUpSxlKUtZylKWspSl/LaQb0hEV8jGH8nY+88M92Yim//R+Phe1l7nRuqysA9L2DQzEXrLZZVtrGlZF6k04zmJQBMvljG7kZTxSOSx3WpTRL5csaQlpKoXdMZt6UJQ+syXhl0pXTzX65AWLgK+kqbckJK3HbmuVm1IJIK6ZWOMRM1vV5YzkhFPBdllIUD7VWVo+Y54dw85kEi+3XQQxfRgQHLpovvuYMBUsspZaTgncM2XlHuv219hOnYor+FkziMXXVb9J378H4SMtWoSxAUyQ7gh6II4jsN3y7JicOiQBp6MXmvVyPYtMgxRkpAJKd5weMD9kZOyGV/rcx9+jkPmrN3psy3keqckOr9uNN1NhyaaZzHFzGUD0mlBLFCH9UIzzxaZI4BWHFHJ/JpxQUuQXmd0yk3J94SuMxpq0YFMaXJBQrTimLbM+1A6cKbWElVOx9ZKRS2lBnvAqmScPTTXKMVpgUdP0jb7kpG42OtyOHOokHJVWBdfv83G7/qd7hpefDGQUWe7B8wlcv/LPqONZipEw91uL5T5mLpqEFY2ovTNbhue3NA2skU6Yl8aK3iETZZljEZjec8uILAWev2eECXeJ1ERJ+pSA0XUzHQkot9lWYesl6LFDekg+aB197luY3obTpfyLKKeuyxTe14yE4TaWqEoWp600T1PrSQKme/5KKcVu/E8oxJuK0HANWxTXLjP17OMSqD061mKEZt2MBG4tlqU5KwZjRJEwgDFZke60Xiy+lQzlZRnVhoS6VT1QNoOHfF8tjvFUkjpnI1iPOYhhVAe9CnrS5/gSHmFl+OVECeVXQSUF8fKOU6Yu2a3zCa6q3mM+yDWGM6fPycNFeDq1as89JCzv2vra3zh818EYEeae8zn84bew/aOQzIlrU32xDZFghhaJ6Yjtmk3i7GFWy+yWUEimeWVQlG2/Ng5ferEGuP1aVKQim06pRJuiq562xQpG0pIUqU48NnrJEHQ7gxyT0BeEWtpmlAtOk/tmhr1qoPO//0f/mEA+qdPc/Zd73PXE6UU0pDgzKxkr3C25eqv/ioATzz2OMNrjvB5syyJPErrQx9k48tfBuDX5N7jOKbwn2sVyHZn00nIjA4Hh6QyljduODSqwpIL2bX7n1OSlbV1culY40m5jTGhxEtpSBPpzGeNQ8TdU7L9VssJmdEjcpwYGkCHcos06YSSz5aUJqybiNamy/TvtRNs7nSwNctDqWy30JjM+yruWL140ZhiMpiTSrOWTZtwAzde3hZoZaGS500bRvJMZFlK4tG78nlCRRR0yYay6gOrWBXblPl1Tqtwp2pe05LuzueybrBNHu0TW9f8BaCKNbl83mGBwvj1pm1qdPvqCEn4YDAIhL1WPgMWnc9cSlte65NtTCCobxik4/bsPiK6rHVIWGstSsbeNsqekjgKz/2RyxbUUxLFAX2dZqvsJ2KbSvcMHdGnVoItvT4pchmn9VJTiT55pE8v0sRC/j4bzkhkrTtFzEyuc+ZReAChYYFlLM/pWhoHSoeB1DlmGKbWXVsHDZ6OQWnW5XxtOVahVejcFxU1arrQp8GxZ0sbw50vuw7V/SgKzZoTSyi7/Izo3vPPf4X/6P/+pwC4ce0qFy9dAuBf/It/sRhfdRRFujiX16foKHon+FaerFwfQ3HdT+TNSdfo/ermdQJqgRw6+htPV+EGLstW2BXqlWjudGaFhF5Dl8pCdCkvwzO3WsA886W24oNrFXRpNMxJxDatmJi56PnUd5LDkEjtv4k0w7HTlY0sDUjPkYA7NYZa+06Mll7i/SYbbFPLN4TSi4oANa+JRZfOZB1G3jbhdZTQrbqOY0pP4G8Vkczz02H8ooW9MItS+k6nw0waypw088ba8HmTW77X7x9pwCIDGY5iMahmM5Q3LJ9/K0Sd4P+ddDdq8cceew9o9bY4kGYkG7VrrtXXCW3xwcftlJnoki4rjDTuWs0VueiS71qeaoWV/U8+L0NTsnUThbJ4Tz9i1II0vtKa4cQpzkqWhJLGiaeToMKID25LGzosHhrLuuiSjw+gI0qpAlFFTSyd0c+02+Rd54Mcyj5q79kX6J52VTvFzdsU8hy0hgUzedY+LZ1ye50uw4n4eK2Ebscda3C43xj3E5ChR57vo2X5LUFX+o7UR9ZSpY8gOi886Jp1Xb9+9d5ziCwRXUtZylKWspSlLGUpS1nKUpaylKUsZSlL+W0h39iIrhAVfqP6bnXveyrhwZU1AP7S+7aYbt8FYOjJSLOIW5KN3rQZI8nu1msd1rcFxdJNKQXdcFUyNyuZYSJEqOcudEhuuexQaSpiIQIwnvyvrENkdjaesyIk7aPC8JDwJ/kkeqnrgLoZ1BYt3DcPZR3aWsgW5Vi5jljfcPf2wNjw+ikXkX3+3AVO7R0C0Nndk99oijvu3rN5TtJ3UeqiKPiCZNW+JAm58eiARx51rXpffvkVrgkxcJy2KIXjBEVoM90R0v7JZBxGv6qqQDhn6jqQ0PnfxEmCFjTLxspWQPyURc54NOL+yv+fvf+Mti270gLBb63tj7v2+ffihVUYhaSQS68kgU5ISEhM0xSDX/2naowedDejC1PQ3UVlF4wuqrt6VFHVWQUJlVQbIIHEZEIBaZQ+JTIlpUxIEQpvnrnvXXv8tmut/rG+tfY+991QSCJuMqQ+U0Nxzztmm7XmnmuuOb/5zW8m89nq06Nbdpz//Ae2MLm/DwCYUZ8OI+mze1t1gtyhBTYyDA/tPQb9GA3RMBEJ/Te3Bti4TGShblC8ahF1lQAioqyWyl533SgowXrsWmOD2etZDTAe7jNXaWBgSHg+h0JMfokd0TaPdnPycBKhbly2NkF03fJovDUc4k/+0T8MALj7qd+0x3r4YWxwzrZmC+TkNjgE8Dx5Bn95PAZgk4YXL18BAAz6PU9uqbWAQItO9LwMfsTb1EsghU88aoNOu3X7pyy7iC3hswEykMh6fSyXc5ybvBMZfYfrSVI/wiDwqEYjU1zv2+fwL334IcyJxlk47pdIwmVGtlWChUN+jDL0qUuyH6Nh9sU1qRhtRMgu0K7sJqjeIN+AbDMdDklWKIWIvAN7xzNc6pNLQgPHRHcN+N1UGhjyGeRFjZBIiN1QIuIYxB3SSMFM6e5c43Vmzz9VlLjJDOwF2gelDQLqcAABR2c6BvAi//H5JY2TqfDu2SKJDtkO3xOew22lV8CDR3pQ/PSeb54oTVI8+eSTuH3rDt6+9TYAax9+/hcsUklKgd0dS0i8S7L6/mCAh9kg5Bd/6ddxdWDf/3MfuogT2qYpr/8gzuHGblfFWJD0GIMU2aGdy3iQQjuePurTxmaCzStWT2Eq5K/YbKcSQELExtIR5TYKgiyS86XBkPM6rQXYIdsjNDYDBQnHmaIgqU8jCSi2Zt+6alHIu898AJd2LwIAbn/xRTz2Xd9trzGQGBHp89gnLJdkEaeY/Y3/JwBgPwiwTf2dCo3P7tpM/9uTlg/Rc01qjXzZZhQdSisMA0+k3RC5u3vhIqa0b4BGSN4NIYSnBYmI0GyalqOkl6bIlxZNlvUyLPPyDETGeyVfwy9aeb9DluGflxA3BnZd/08+fBNLEtXOOWz7TeG5tLZVjNzYudODFOmRHcO4n0A49EtMBMZmgpRNV9LtBMvXrC6ZAEgD1wjDXk/VGCiicea1QZ9IiAahJwJeMhO+GSoEhkhhDYDrwQChJ6YPHMilAUBE7Pa0wZs8xqfqCW5ENmt90ZHlau3X6AiW0BoAxsLgFX7lK+Q7gSlXjItDWgIWvQwAUoZ+7eqxtfsyLzx/2Dv6tiuom7N4dc4XiSNgOamUalHIRhrLvwiL2l/l5IF/HwCaRuOhzWsAgD/3oR1MyKE3pT7dTwsE1KfNJkLJigPVS5AeW91KewnClPw2tCvJKEG6a9e6bDfB8rUJr00gpW1SgSPMV77J0rTRnhPupAQIzvAI81EvgmCTKmiNkDqSCOOnwulTrAFJ/2d7qvEWKzY+XU1wnUjQi/yrihoh9TwSAin1ZQrgq9wkJB/7LgDAr/zFP4e/8+N/CwDw9q3bOKAvb9CZ9ZV1r2344N+CRdfY90/x3vjPu+91m7eswJnfY+neBfAAN9hpBJDpwHBEiBsDux79xx++icmhW+fs5wdZ6bm0Rk2EJREwQT9DcmLnMcxiOMK2gKiY4UYfvQvWNg0uZpjTB8+FQeZAS5y7vDYw1O1pbZCRd3lWC094X9DG9AONyK1zSkGyeUBPSwTOT3WE3log4O9GkwZvU+8+U09xjSjI3Y5tCmmbQiOQcjzn0HiZ3IZfWDo/uenoRYs2DcMIEZ8Ji2xe1Y+trU2/N0On8kar5gHLE0VRpyGFaStQVr51HmLwIBdXZ007fW7TuR4R4aEdu8/5379/gJN7tiLJVUTt90II2rjBLESh7dwF/QzR2I5b1NEl1/BksNHHhavW1wiEwvx1u84VUiOjDml+t6gNBHVpUmkktG3LSqCgr1QQ8dcLGoSG1RNao6Gt6Ul4FJ9rYBAYg8Chq8cVbpMP8HNqgj/6wR8GAMy++EUAwPzuPSRfeh4AcDWMENP339vZhPp+62tNX3rTDtn9uzAcB6OkXwOU0hCMXZgzuWw7FREdTkljDIqSlV6ibQaC7prom/LV2Lt754xjr8q5BrqEED8E4G/AWsu/Y4z562d8508C+FHYu/iiMeZPv8tROTimYwxPGcnTUG4h0d5qgD9xjdDD8RQDQgtz1xEjBAa0G6pUqDmgSdPAOMi7lDAkmbuWWuek0BobhKzfm+aoaCzKovAliw66GQbaw98XkfGQ2KgB9gl5vby5ab9blAhokIqywTad5Vo1KJaENNLgRVGKQWaDIxINnuKxbl0b4cIdG9SqSVZn+gNc/T6rsNkXn8d0b8/+Thu8yof6c3TMhJB46qmnAQBXr17FJ3/xl+yxqqJTMao9qV7MThs3bj6Me1TCRjUoGVQJw9B3xHMErPP53HeDi6IIfbZ2y6XwXWS+juYK/45y1kbgrM+7nasEfuSK1YGTkwn6nONp2+8APeqhrpUn+o6VhqA+CSmhIgf5Z6lgXaMk8WQyCLAkCeF0NkfeuC59Tp9aZ6uMhWWsBhBWyhPFxq5rozEAx7POS6Q0RFEofCeYq9xAjJcVhhevAwA27x7gEr8bPPMkvvzJXwYAXKOeoq4hpb1ec/UyGn53cHKEr75qSQ0/S4J6rZWHnr799lvesdJNbbtzAlDGIE5sAKTxz4/ALje388USy8WCc9BRjHeMWXJB1hoH+/s+6Pzey2mHrLOoauVJ313pU1E16JJf/rFrmwAs0eeAzpDTJURAwvvTtYJxZSJKAeywaGQbsXR8uIVqUM7swpH0A99UYzKfo+A8uGFLAwnN5z9II9S0TbXRvuSxR13LixqGpNOiatBnADUK4EtCXBVlnteIF3yOpcAjmXUg38gX2KZT6LDwsRCWIB7ARhD4kqAMwC1e6ZembtPYBv/QvRMBP/ZSik5JbPvx6fesnLXx764vpxXs/By2Zb7EF77wRexeuIvf+3t+NwDgF37hk/6cN64/hB02hThiF9Nbd/Z8EuHylWv4Q+zienx0gozXvqCtCUKBzHUCrBWc7obaQPStftZC+PVJMLmzbBosJ3Yd6Q1CFLRj4/kME+fYunKKUEKzsUQUSxhuJquqQUmDzsI9hAa+o2RVlMhEC/tPImsLrj/7AQDA1pVryA/G9hqPjnDzUUtAfGAaxAuXQLA6dnxnD7vXLbw9iAJoluzHvQRJZq/99hesUycgcP3GQ35MWxvTOs9CBuhx3Xdr1sH9e+0m0xi/iSjyJSLqtys/NUZ7x8+SejMoWFV8/3eqXGhli4wH1j+j0dqzEH/0hm2CMJ/NkfH9JXUpDAVS9/tG+9LE0BjIATf1QiIMnS6xjEMrNK5jYhYi5zp3PJ/7zp2N04Oo3ZuFofCB10JrLJ0uOddPGdtNDEC+LDAInG2SICODJ1UeHx0ho20KpMDjXHdeLRa4xE2GcB2JhUTJ9TeLIrgKktgA9zhuvzVzOrMqLuATRqHfDBitXBUc5uy+LYBTSdyzglfdjRsefG3Eg8GC91AMDJSyHYwD6Z7pClv0B05OTnzHcpe0iKMYOX1AgwR/6GqP3534TXkRtvrkdAy1hubnoWltk5aBb34hGDittEKzZElkL0TBQNjJfI65awAhurbJniIOJWIGCcpKIed8XyGtQFDXqJhY0qXytkkK4TvauYRMWSlky1afHkvsfb6ZL3CBSW3XjCAQwpfm9kPhux/HBsgv2GZSn/jTdkv0Yz/232NybIM4Ukpfli7QmWsBXGFXtGMGo8t84TecgEHIZh2N6tgaTzdiOtW27YaypYQ5L9t01rFbeyT9NbVfN6bdJP/B61sAgOl0itR12nSdBAKBgD5xXSgY+uMxDEBdgpCQ/E5MXaq1RrWwc571W12azhe+sU7jSnFDg5rrXBwJH+AolfHdD10QM1QaiomAuqyxyz1QGkoEDKamvM+qaP2mUAIPk8T+7XyJnXBVl6SQqBunS6HvYh0D2KM+f3lOv6lL5SBC26TJDSwlDCPf0c6tbSfHJyt2xj3b2sDbLNckqqqqM4PdENIHE3XVEte/dyJW/qDbmOgsaqNuoxYR4vdftK/H4wliPjd11OpSzCZgTd54PyeFgWEJPqT0SVSnS43RWMxYGr0R+yYI01nu58l1bY1DCeZBkETtWFWNQc7LyLwuAY3XpRI9zkEaSggGWBO3LBc1IqdLgcRDbNaypyrs/YptavToZWtz5MEYBefx5GMfxsVf+XV7rMUSf/u3bTDst3PuKZIY3/Ed32mH12jM6TOdHB+9S2Od1m5JGXgbLwD/LHq9EadKqt10irAtif0acm6BLmGL5n8MwA8CuA3gM0KInzHGvND5zhMA/jKA7zXGnAghLp7X9axlLWtZy1rWspa1rGUta1nLWtaylrWs5dtbzhPR9R0AXjXGvA4AQoifBPBHALzQ+c5/CODHjDEnAGCM2f+6jtwl67RvdF4btNHZ7vvS//35ezbT8ScupDhmZPWRTYvymixniJiQy4sSTd8OkTJATmzyxTDwkFUXr9weJtjaYZY3T3B8MgYARAhRMmWt5jajWysgCN01aoSMeipIXCHJr2FWPjIBHGJhnkgsmPKJtEZG5JSrXZRVgyUj9leO5tCZPfETz38VJbOFi4yZ8WeexD6hidvDIXKS6tYywHcxS7G9bTOe89kxPvPZzwAANje38Mbrr3GoTQfoIDwReMlrPz4+9KNfVyUGJLxbLAufCZiyLDGOIuSExO7fzxExy7GxseHRL4eH93B+choV+C7fNS1k6+f37bz+yJbGAbNIN7dshmmynCKjPhVFiWbAcgpjUFKfLkShj2CT+xSXhynSDSIlCk+ljlGSQjKTfTK2B64b0+oTNAJmb3IpkTgEBXUkhkHuWiKnIVLCZYTSvmTnhGVlW3ECdWyRIslohIgIiejN25AkXr5LUvrZbIEtPmMqDHGRLYbvNQrf8+gj9v3bbwIAsl7PIyUGwxHm0ynHBEg470kQ4tpDFnlxsG/NwnKxxMGBfR2GbamrQ/+syuns4O8EHaEA5CkS1a5eCelb0zv0YxRL1LX7fohfuG/H4o9ciHGXuvTEptWlcTFDjwm5ZVWiHrjSHWDBLNNWJHxpq8uV7fYT9DatLp0s26KYjTj1yIrJlGXZyniiTAMFzWurEUC5kjf+/lIQYu4yfmmEgA0PoNpy6gl1SSjt37ssAzgM23PDDQQcr5J/FdpSygXgs2NLAB90iDaV+zFdQTx0K36oz1rpzlpgvyA6ZVmWUNm1LceDsgJt72Sezxl4kyYpnnjf+3B8fISvfOUrAIAkzfDHf//vAwAEUuLTv/EpAMAzRNx++cWXcHJibepbtw7wyW2L8P0Du/D69D7q00kxQ8KW6cu6Qd2zs1Ibgzlt004UQjjbxPu9MEyxsWVt8klufJnVZpT4Mv3DibNNAgl1LJAGMTPJgzD0ZLZu3kedJgRIQ0hH3quBknZmyfLAdCfHnOXHNx57DG9/zpLyP/cDn8AJYfbziS01EeMJxlxbMgEMWFL/whd+GzURKJ//wufstVQV7u5xnTHaP69Aq4e9LEPKzPrhoX0agiBokaeiRQsmUdyWd2iHxNXedgkhfElj3VTUy693HfpGxCG2usiJ06/PEJnxRYBfum/16kcup16XnnS2qZwhJcPArC69LgXGeNu0HQUtoo/P424vQW/T6tLxvLVN20mGKLYW7GRm575pWmRGIA3ANSYLY1SuZFYSVaEMlkyL6zBAqNrn32ELTvbt3OlaoaDNu4SWiPy50aZH65T0baQxPstfaeOBVwWAx3hc5UqAu9JBPhljIF0ZnW6gaBgdOtBo1bFXYvUgXtya1ynL1s0K0vxsY/bei6ehgMEJUUQrVWjMxNsyX7flEPjle1ZhfuhShL3EXvdTfB7H9RzJzF7/vK7QdPSp8WudhHFoSB51t5egt2H16Wim/HVspxlC2qFjVjo0ylIHAEAkgZD6EssAimChPVZA3Iyk70eiQomoIRJWGY/EaIj0M1WDgnp6wQRwrtkHNlp9qhxpuDC+dLECvA+2FAY7RGxdu2ppHm5cv4JHb1qE/U/8xE+0A9xZywQkTmgjtzat/75MYkxpCwMpEboSapU/iPozDQwh4ZcuX8b9+25LdhpS9V5LF1HaOR8/a9HX3ffb5ka/cm8MAPiDV3qYU5fcOndQzjCYs4KmaqB7VgcXykA72xR3fHD6iju9CAP64NOF9mfeTVNMiRZ1ROGltmPLqwVYuhqJ0JemLan6mTYtUiWSvtoCTWublh1dAm3TBS3dS7x/NHpAlyy60h6rMMavVzkEHnOVEs42rZTwtX6TkMKjt5qmedAOdZDyEMLfx87uLvbv26ohZw/soTs+VudY52uaTu3lzmhgsPLSABAs45IZfu3Azunv2zVYUpce537uqJoj4zq3rBXA6oh5Y+AAhjtJ2CIIeZKdLMbOrl1LJ3PlL2k7yTCLrC4pItFzBe+DC2hERAoaGaJxpbLUpVQZ1NQVGYcI3dAr4/3tJVFzotF+G7QrpAPDYiPqoabd/uLU2olnblzHxS1rP5Lf+DQkEX+11vih25ZG48fp22dpjFdfexUAcPPmTSzYlEB0CvDPlnaetNEQrAgRaOkjVmhfuu+5sswg+Lp06TwDXdcA3Or8+zaA7zz1nfcBgBDiN2Ct1o8aY/7Nqe9ACPEfAfiPzuk61/L/Z7LWp7W8V7LWpbW8l9LVp9hxb6xlLd+ErG3TWt5LWevTWt4rWevSWt4rWevSWt5N/n2T0YcAngDwAwCuA/hVIcQHjDHj7peMMT8O4McBQAhhbN1nJ4wn5GrxtidbdASzmf/6X/qe9yEh2mo6X2Kb2Z97JzaSOUpTlCkzVEkMkMMjUgYR67krBcSM5Do+mygOkDOku//2ASJG1oNYYsTMw4JcJmbaeE6JXAjfMTuKQhyztn+QMOPbGFQuxag1EkZvmyhAM7cRVVfDm0VDXL9o6/NluoB+6RUAQBFIZIwKD5kdiooS1T5r/A+OMWDd+s+YEn9530Z3J8x2xGnPk4i+8tJLPsudZJkn/U7iCA2zGMOhRRFMTo59JkZr43nJwijyUd+SGbMwCMkZABjdeHLYsiww8SS/7408oE92FLrfOPVvJ3xP9uBC43/1+59EtW9RTyfzBUYDi1q7Rx3bSFMsMxKwpgmizOqQUQoJW6iWCshS126clxMI1JyT8a1DhC5bJAUiZvz7jl9gpjBnZi43AiJsuQbEglwxrN3PtUaFtibccUKIQKJXULeYCdorFR5m69aeloiet6iSqt8DmBUc3bSfD0WA+/ctEiKfzqFIXPylQYY/8/kvrYxikmYYe2J6Cd04FiaDsrT6MBxtYja1OuLQE8YYNFNyX4Sh55sDRIdK4gzkDQxgHPYywHvZ2vhB26Qs2/5ZnIFG+zbovoWzSOC4BP/Kd78P2tmmZY7R0PLY7c0syms7zVD0WY+fCQROl7RGnLpGDwJB6myTPa0KBCraoKM745YgXgrE1KWsR9s2X2LBLF0MiR7t0G4cY0qerzEzRMdKo6Edi2KJJXUwC0PEOflZmEXXixp9hzzVCoZ8KMYYBByrjOOUaI2aNi0xQEY0xguxwV/cH3MsXe2+wTsTM3ff6uqF5WrzeiDaLOaKPIDMs388+gsa73VqsqtPw+HQpEmCqqrx/FdaIPS/+Oc/AwDIshR/5Ed+BADwxls2y3br1h0syHn0V3/gaUzvW9TKdLbAaGD16TazdttphpL6pJREQB1QWiMlMbZWAiFRxprrlAoFKurs0e3DVp9CiYDZZWebFtMFprVrwQ7s0DYlcYheaceu4to0VgoBzbGB8OhWGINeaY/x6qd+AwDwfY8+jYRE4ZeSHu4v7fjsv/IaBkQh/OoL1l69/9EnEFMP3/fs03j1S18GANyfzfHnvmx/Vzt0UG/g7306PvF2RWuNOLbvR1GEyWTMS+O9qTbjH0UhJLl4mqryNs35JUKGHv1c1TViz88YQUsNXb03/IGrtkkSfv1OaLGz9Dj2HBv/p+97CqDNni4WGI3sGn9rRl1KMpQDItOVRExd0sagx4CtadA25nE8gpFEQ7/p+M6JR3qaUCCi/9bjsRazBRb0EWYK2HbrnFEwJTlR6TccGwXp0JtSYOG4TQKJjLZJcU0NiwpD7ZDyCsKRZmnT8oY6/hQDlI4DUxv0+LsvR8B/NnZoCdqVU5wiIY/bNGqFs6ZtlS5Wf3+mmFPf6fCoCXkKoHd+tkkKaYLAEQ/TB44iz0fbRYk4JJtFLtt7/Wu/62lMDqzfNFkssEV9uj23a91WmqLqU5+0bP0mY9Anwl8oIKLf5PxwEwWo3Vp3+wgpfRkdGMQc/z6PNZsvkPMaZxWw5bhyo9A3v3C2aa8uMSRHoRYCc54vkxKDcpVjJy20b1KQaA1HwmZ0i2px+pRog8I9/7rlv3w+Bv4e+VFv/u3/AQDwj/7h38d1otyVanDlsmV6uXf/vm9o09Q1NjiWDlmTxIlfs7TRXveytIc8Z7mBd6AUUu55Bv0+ZqwAWS4XeBB19c3Lu/vglrcHAHq9nueQ0p5rKfLf/0++5/1QXNNmiyVGI+t73llYXRpFKfLM2nfZDxEmtEcwyLi2yaZt8iRcE4AkgiLR6fjuoSeKbwQ8X6lxftNkjtwhcVXbgCSOI0TUj4C6NFXao0YhAsyoo6NAok875sDxwbLxOpFq7QnL9Ypt4pqqDUrqaKSBPk3Mi5HGjx7POabU4TP4jgBrizyy1KgH0cUdpHxXJuOxbwjh9oqiU+Uj/I8BCAmzQkz/7yZnr3P4Gr6Z+9z9O/aIrh/9xMMYcz83ni+wtWGfpbu0Sxtxioq6FPZCSPrdRmnPGSmadk/uKm2iOISmLp3cOWkRmCGQcf4d92BZz1E4lK8R3tTHcewb9JAaFyeNRoi2EsL5/BtSoHdqnZPLCgPV2h1nl7Tx7Snw+//UnwRgm6HhFkneX3jNL9iHocZ/cN/GBxxqW0iBxx63zep++3O/DUPUoOluo9/RbLR+tUc5KwXdOM5Bv7FrmwR10MqODw4A6qbAO8l5BrruALjR+fd1vteV2wB+0xhTA3hDCPEybODrM1/zyFKeegDNmQ+f05BAaDx70ZL2XptO8TbL+EaxRMAOOW7jtYDCiAqZDGO/4SoXOQqWREQyQMOH+cpFa1T7Wz0EnHiFlvx4qzLYk+wSw1LDPK7Q6wSvPNDTaKQbJLd3hKdBhIAQwSiUECylHCYR4sSee17ZzwtoXNu2Xbb2fusLcFyMTaNh6LyPqFf7sxliGqG3hMY2L+HjMsGfYgevf9W3D/Hbt+5gfHzMMfX/4T3a12VZImXHSEPnOAgCDEd9/11n9C5e3PYQdzdr8+mJ3/BHceydwiLPz7EL1TvJ1y4dkdD42LVLAID04Aj7c+ssjGKJiN0iELrOhhobvK9sEKN0+jTPMWPXiy0ToCJJ69XLdk63dgaI6XAoIb0+bTfAHcGOaFywi7LEkAZVa4XSQex1g2zDOiq7dEDzaYWYHaqqwPiAbRKH0Ax0FdxMLMoKA27usrv3ERBaO0pSHF2xGqN79vM6ijD8LVv+Mxcatwmbf2J3F3+C5M9/R7sSh5YIeDo5QVtW2C6+89kMy+Wq4QqjEEHgOpjqjk8vPCkkhCM3FL78ra7V6ubDdW19z0XY0sXTDmGHFN13FuF8CmHwHElntyczvEGHbhRJRAwiN16XGgzo/I16SatLywIF5zQzASrO45XL9tnrbfQgM+fcAbWzTQ1wi8zMKXVJ1w2GdPizUHjnvTYKMYmid4iZL5dAnTf+uD1uOpIoREnSS8VzFQFwmbVvvTD072sAyhFScpyWaEns344kNrno3dDAj7Cc+m/vzdoxPyuouAJd777ffZOB9zDyZWcrunGa3JniSgKU6nznHNSpLEu89vrr6Pf7PjBc1zWukmz4Yx9+Ds+/8CIAdLoDanxw18Lso/0jTNkAYpgEiBmgbPhcLKEwJFx81AtQUc+KRY4l7VGCADW7+166ZG3T9u4QKZ0yIwRqzttGbjAOWf5DfaqTChueWLRB4YZW1eiNGDji2M/HGuA1qgBIGZyKogAhrzO7Yju13dvfw3OPPgUAePEnfxKbH7Qk9ZNbb2H4iC0iu8KuwvtvvYknqA+v7O1hym5laZnjD25YffrxqR3fPF+iYmBKKeWf3aw39N0RLak8n19fCitxgV2OD4+O0WPCYzY+7qhRG1h1m3+lGlQMsg0HQyyXs/MxTbzaB5M4K/UbD3z9uYvWNu1Mp3iD5Z/DJEBMn6Sho1kIjQHvb6OfoI5a25Rz0hMjUdNDv3zJ2qb+Rh+yq0v0ETZLgbvUu4R+U1WU2IzacSv9xrLBcGi/k3IDNZtUMOyMGQUhUpagpHGImrapcWT3ocDlmoTpgfDlQ0IIn5zrllen3CzshRI73LxeUwY/vGXn/CcWLWWDk25DjCAIobgW2rn+2v7GKiF4uzFoP3PvdYL+xnh/6jzEgP5fp3ttoxrfkbKuaghvJ9vmOR+9ehkAEB2PMXX6FAfexxUMiuZG++TrZj9B5fzBZYGCflNsAlRi1Q/vbWQQmStDkq1tqiTuBgz8MMHYlAUy17lT1WjgAgYNtmibhkzkjI81cp43CAI4dnQVtKVjLklZhAIXGEGLw9B7NQ3a9bCrTy4JfScS2OEydE0D30VilJ/90hcBAH/gh/8wfvtzn7VjsrGJu/dsYvHihQuYMCk4mYxxxHJqV4qXphmMakm/68olNJUvsXIutjYCBcvET8YnZ5KUn6+067fbL+RF8WAzGWHwLPcpG9Mp3mLisB9LhPSbpJtbodCj3xikod/T1csCS5YgDo2E4p756o7VpWyYIGEjjdq0ZfUbWuAwZmMJrnNJFKBH2o2yaVyeHqausMFjDKhLx2PlOzQmsUDKxmZhFKBmN2mnt8tIYmdpDxaFobdNCvDj4/ymCvC6dD8U2KLfdEUBv29nEwDwD/baLsIrieDO/D4QeF95bVpl6fhHSikkbNBizJLv6Y5f3jmUUe91fvAd5KyYgOj4cnwWwwAfvGj3M8HhCaaOViUWkC6ZzsR+BYU+dSns6FK1KFAwOB4YAcXO5Ve4/x1tZui7RCLavXB/CcwTzePZ8UvjAgPa0byuwTgpmqrENtc55zMfnzRsJARACqRMTAdRiCbn+mbade4iffAkDHzQ2ACQF+z9L+mLBZ99HsOXbDnipJ9iSNqlh43Ef3jB+pf/BWlk6qbChz5g/a/ZZIyXvvoix7ebCO4CD7rT4SO+UDXHWoTwq7ALugq5eijO7bIo8fU0XTlP4prPAHhCCPGIECIG8KcA/Myp7/xzWDQXhBC7sKWMr5/jNa1lLWtZy1rWspa1rGUta1nLWtaylrWs5dtUzg3RZYxphBD/WwA/C8u/9RPGmK8IIf5zAJ81xvwMP/t9QogXYIPUf8EYc/S1j+wy+KeieGeSd7rsn8FrJ8zGZgaSbUBVEmBGdEKPya9YGeSMJqaVxAajt0USYUxkVqAFAteClme6c1xim/DHPBXoH9mo9iSSqImQqEh2ubW7Ccks7rQpPZwwzhJfyjd0kOw6xLSy70mlEIi2JfsmYZPZjs3wi1ffxIQlLhoGkpHrJkugGaWu7ty1vxkOMHPwWgCGGfN7osbfJ6T86J7NkoRJD6ErNdIaQ6JxjNEAMylN07QoNpJANo3GB559FgDw8quvIiMM+vDgEHVNFBqzR5Bt9tHoGoVD2plOBuG8xLdRPgMN0hXhiOQFvnJkx/MPIwAyZhvjAEvC6DIeIlFAySx20ChsONREL24rp5YKhpBjh9g8mFbYYBvoeQz0T6wOjCOJnPpUMEO0sbsNyez1oqkQOJ7LNMaCLe03SMAZmADTmT1JIm2UHwB0oxHzPtxvdtMeYldiCIH8ox8CAOQbI1y8bBFt2S2rT/u3bmPuxi+KcHJkEYBLAfyz2xbI6TKeFy9e8s0I6rpCToj5SlYJgNauFTkhtsUqus+TFwq0mSOewwJzOhkr3c0QnJ8+ibb4FP5CjCvJFdAuUyFdqWqAl9lUYJloCNqmZRogcLrkWqvXBkvaoIES2OIzWWRRmxkpFDR/53Tp7kmJEYuC5pHAYGKf2Ukk/fy71uubWyNErqy6LhEyQ6gjiYoohF2iTvPI4Ij3FgiDhXTlWA0ior8KnquPAFnUkpp7ymStvSVPPDGlQUkdT4xtmw0Ad3WNf0473s5tdx0wnX93MnfdLN6KmthjNE3TyVLiQbh++wMALQGrFLItpTgXsQjA0cYIA5aDx1GEXWayX3rlFUyIJv2h3/8HAQC/8Rufw4tEE8xlDMmFrcxC3yK719WngGUGjcBG5NahGKHTp0pBx44k2x73YFxjJFlOFkn0xmxIEUvU/F1J5dvc2YJorM4WdYHI2aYsQUmEhMuER1piTNsUG4OSS0JdKzRECT/yyCMAgCRO8forLwMAmjDGyYsvAQC2P/gB9Fk23bAxy/sOjrB8/FEAwK3JFBXX2GW+xD87XkUWJ1nPr1Pjk2NfYjEcDHy5sR0M6kBobXQYhj6jLQQwZWmjkIEvoXNoVCElGq7/SZJhl4jOqqpRlAWhgucl74TM6Kx/wrmFEq/QNi0yQGYk2O1FXiccVX3UAHPatr6S2IidbYo9ZTQqDQczVw7Fcpxjg7ZpEQlkY7vuj0OJhijliuOxvbvtdalqKsSuuiGJURJJnTk0vpE4cboUSCgiweaNQsR1rprYY420QA8twtSTjuu2gUbkyyaA3JVMihbxOkGDnz7kOnaaSBcsD6k7Jami++JdbMg7lBn5zxxySwj4En3Zlnadz3JniPxYJZZ263MYRf7+HYrJQOLFIztG0yhFwHlossg6IwB6rmRLATnRWmgERlzrkiz2ZV+m0gD10CEcbh3m2KKfNgsNhjOrT5NIQnFeKlZLbO60+tQ0EinHK0gTlESWGjYdCkYZlktnBzUaD0I3kLx2ubA6uKEF+kR6KNN6JtDa60vUQcM4fUohYah8J0bjF4mWfuOOzf2/+uormM2m/nfS+ez3NDLuBa5duYJjVktU9AlHG5so+HxUZYuSN97vtWWn9nY0alaILOaLs9GE5yanUaXUG90pW/LgRYHX2UBnOZCQbCqmehFK2pi+K03WEiX3TVEj0ONeo0kiZBz7ulAI0rZZBADcOy6wIbmniySSKf2mMEBDn8RRguzubgNunatKsJcLojRBxbFP3B5nmGHMa4+k8Lq0bBSSlDZvYn8z1LZxC2A3yB55pzWMK5Xt2BvXVCM1FgUDACdC42enhf/dmfJu9qjrHznvrWOXmqaBIJJOKUeO/w6UEBBfR0nbv6O8U9Mg06GsMG184KvHRERGkffBdRZ6XerxJ5ERKIi0jBt4XYqTCD1XYVE0iBx9CO//eFpDJCyvjyWCY6tL845dcjZnZ3cbsqHOlALaNTZIU1QcY2dfglEPh1yjpVHQrjmK0khSVmNM2ADISKT08RoD/2yXTY2Gpb8L2tmrP/C9wFe+ypsOfPOsKUr8xLE9n6+6Kiv80i//MgDrJ7mS41VdOxvN1fWJ6spFU7RXN/e5Ump1Xf0GAabnytFljPlXAP7Vqff+Sue1AfAf8/9f71HpZHZLVrolJtoPtFtiwijDX/yA5aaqTibYGjgIofBdNwoaQiE0MuJO81BhwK4a/VHi60Z1JvDwo3azcUIlHAUJXt+3yrKVJggv2Pf3pgs03DgZKq9ME19rvZMMsWQXqKqskREimQ0tDL4+zrHh4Poi8Hw2lVZYEHa8w0Vq79GHMU1HAIALb9/FCc8R5oU3soJlm8uyRMVFddMEOKBlPgawX3IzSXh2CINrNx4CYB34BTcQTd14GPhDD930C6zblBVlhS9/2fKkTGdTbG1beGTT1FCESHqYrGhVMQgTaENHQ9U49wX2zIfGnbMLeiSEOE7x556y91KOp9gcErILgdrx2DC4VRkNQUirCRokC3vcwSjBYmn1QfQCPP64LXuZ07Mexj3colO4maWQnKv92QKa+iQ7+mQ419vJABPWk1dljQFLATT1CkWOPjchSmvEDLjU0H5RusJyHp30sH/R6vlo/wQVYdoPhxHe/Je2Z4QL3C1v3/H8ADuVxrix1/BaluDWhKVCfQvjlVLitVde4jV2No+deQ5kBKXcxoAQ7TD2emNhsQzYZRmKwrWPbJ2VthmjQbs4G7yXHF2rYshxIPwcrbptolNOwq6LUYq/8Ky1Tflkgq0RedeEROU2+q4g3xg4HPNcKvTIxTQYxZgVdlxkP8Tjj1ldGrNj4oZMcJu6tNNPwbUD96etLoG6hDT2pa+DtI+cne2aqkEcshSAumRkiW3HxVTWCN0CB+M5eDI6m6Wo8RrLID6aDTBzfHyB9Lw8NMWoBZBTFzaMwAHLURcywEFxajPJkW3FvS+/ZlXWys9E93idRfQMiD463DPa6HOt6FCqwfhkjCJfIiIvzf/mz/wZ/PQ//acAgCeeehL/5B/9EwDA/2f/7wGw+vRnn7XcLcXJFNsj8tsJgYZOsA4ZkNQGhrZJSIE+zf5gGGPh9CkL8ITXJ/v5ZtrH7SO71m32Egjq5/F8iYZJm5BBUZnFcAq3HY8wX1qHUlUKPceV4spK8ty/V+UlAtrCRgCKtuXOb/+2/fyhR/DE0xYuX4zHuPKJ77XHqmr8Jsfn4cMxAGDRNHiFnYJ2pjmWDMh+Lk1xVFmdDLiGPnzzBt543W4skziCYEBvPJ22DlxnTXJBzygMsbe3Z99rmpWSjZQBMMddYuraq14QBrjD5FMgpU8AnI+ctYHpvlhV5jCM8H94vy01W87m2N6wPokQws+HYnlhZTRqcoLIQGK4tLZpOOzYpl6Axx+zCZKJ0yUR4S1ygm71UggagcPpAjUJJF03PCSRd7g34hhlbnVJVw0GDJaKyM6XbApIY3Vf1XUbWI8C/1z36D8VssEbTKw9F2eYuOC9bG1TywQCz0W4pQMc02+cBhJHJW1TZ3PnSvm0brmR3tl2ORGrL7tz5NeuzibO+VBSAtyY/84EJuwFhJyTRikoBpHCIPC63NDGxFEP/7v32/nPO/pkhID2+kRfCQZV7jjtWj98OEq8PgVZiEcftbaJ1J3YQog32YFvp99DxIT0/mTubZMkJ6hIIwhe+yhJoAq71pm6Qd+VoZEnzoQllJvLuoabo0YYNOz0OfKdPxXeYMn4c9kAU93qk5u9mDpSS4EF52/bCBxzrTsWBr/1whfsdfre7qvz6bq4FvkMhro+m8+wvW0D5xEzBVVZ+eTz8fFRy6NmDDRW9cmW8PO1Ur4jZNM4Lrh3LxP65uSBCK7nZi3KspN8ok0II/wZ2qbFbIEtrnNSStSR49pq+RPLok10CvqKo1HqdSkbRHj0UbtujlnetYkQb5MTdNRLEDBIcH8yg2kch7LVS5FuQJASYGs4xJIcxKgb9N06x8DkbL5ARB88k20iT8Pyqdr3nW3SeJNggA9mA0w55+FZuiQECrg9ncSYtmkiBQ5nxw+Mc+vedPfSwJlOzcpbXb+o9ZvEA3618fQhaiV5804O2XsknS6k7XvuRYf2iPMRhSn+zDN2n5NPJr48UAaB95nCxAVdgapwe1aNjOtGf5RiQX7tXj/ydmlCXdpKMtxifGCYpRA79v37kzkaRjoD17U5TSDI8bk5SDCb29+JusYwdok1+/lkvkDKoJqqDCLPxQdoV7rcWefeYrn4c1nfl+6rMMKQ5Y/3P2fpZ+L9uzh52D5fz72+j5IJhYkJsVeTL0/Ze9faYHvb2pfXX3217VRtuvyRaF+7ADasjQFYyt3JRTv/yXHJBYFAyKRiWSw7vnvQCYDhHeU8SxfXspa1rGUta1nLWtaylrWsZS1rWcta1rKW3zH599118ZsUV360gpnmiw5cklHxui6wNbNRyDDL8Cbhf70ogiQSRjByK7VBHTp4X4MxI5kjqaFYrtCTCfLKlenwb9hA5yTbDgM0c8KYwwhHpJt3hOH9OICu2045/dBmfJd16csbxzObXQoWCoJIMqk1AnZuHIahz5ovDm20vtIad0cWaXTx0i4kO24BgMshE30NHUkEHp4Nf89/62TuI91ufK9dv46E5Rzz6dRDDI3RnsR5Op1gNLJosiMS1xdFgcOjQ3+oe3dtCVucpJ7Ed7Rpr7fIC1/O2NSVA5MhyTJfEpkXjhjzvKSbNerCQZghYra0risMmLEL0xS3CE2OoxCSGQzXMSyEgeLYVkZjRrJAKTRcr4tERMiZ9ZzVTo8raGYxRSBbfYoijKlPfaKDRknIjkY2O7MR20zpvMxRdztZAphMCwjq7MAYiJG9p9gAitcutM0WZKMhwGzA9Q88gxfYoezWow/7rOCtwNUaCES89FIrbG3Y8qG/myuMRlscP3ve27dvezj3aXHZLaWaDlydmYemQneOYmZdVdOcVS3iM54PkJF/HeSF35xYxJZB213JvteSULtyauGQdE2FEVGWMk3xFscljaM2G+aGGAbKW2zlbdOWdChXIDWB7zzmdKKUDRTRXyYMPBnzKIowMfZ8Pc7jRhSgoV4JIZCxs13TVKhpm3JmGI/HZdtlzxgPpQ+FQMBuRkGT+/MavndUV4iIChPaQPNhv8fSp0gIn6WE0Wh4z//fReXHry0aP5UZXMkquhSR6WSA2ufaoUMsKKKDmjtLVojpOxnNc9MlSyL89NNP46WXXkLOteWv/1//SzRE3x0fnyAkgmU8IbpFC2QsZxz2UtxmqUoWx16fGl5/JOARqAE0JoStbAXGdlyCJaN3JKtOr2ay8h1/o0BAk0B3EEZwrVUy1zQhDtHUrrxVIovtOlKXBfLSoTDtb+5PSgiW9PW1sUYJQCgFIiKHdy9a9GMyHGKPZKgf+mN/BC//9L+w17i5iZpNY7Bl16PnpxOfIb/60Q/hpdtvAQB+5V7bFXjXoY2VxuNPPAEAeOnFF33pQSBb0m0ZJGhY3hPHbUMQ4dHJAv2+tX/L5cKjTd3v06xHWwYU+cLrplppiHAe8jUy9R2kq7NNjdIYsoxd9jLc4XwN4gghs+JuuZLCoHFlEdCYEP2yJQ1Au5GYACURFKxaRREYKCKbTSTR0DYNoggz2qaUurSRRFDUJQGBfmIRwst8iZwE25IZ4uNZjVC7MthOEh+A5LoR1vY5MaEEaP/qpvbdw2AMSv6ucGUeAojg7l17WoqfLgxa29TahLYD2eqQm7P+dZaNYfmyfQ+dX4qVP+0/ukTS54foEkIgDCMopVA3yr/nfJpGayjeu6TfVDUVeiz/HaYJ9lhC3E9ir0++EQA0FIezgcaMCJhQGgja6tgEKGmb8tIhhA0U0YSIAtS0m4MowlyzQzgrJEZRiJoVGdIIqIClx3WB0h2Pz+w4bxCx3DYyEs59D4XwPl/ArptKAobnqOrKoy+MNqj4u9L9Bbzf1BiNkqr3DxfaUzN0ieRXpZ3fMHCYQ+krLiLapmW+9Agj223Y6U7g90qV11OJMHIl2AJqBfF5as/1nsqDlBJFUZz6HBCs/GiaGhHRKYMswV3apmES+67k7tplIPxzGkiNnL5HLzS+3DBopNclh/4yoYGi/lRSQLM0NQsiVGwI5RCDwyhAw1aJRgNZYte5PM8xzV05sb2Hw0WJiLZpEAYwsl1jHCo+rF0ViABid88VotCVmBq/xyipoxWM95u0VqioS/9kqdBiWto1pjUdXVtxeo04Xdmyip53lDZNXaOqyu4PYUyL5DKm4xOfM6DLXtrXOAHXOel8cKURstpgu5dhjz74IEkQOR+ctx1K0z77UqPm3IwCA5BqRXR0KacuRUGEmnbJSAHFkupUhqidLtFmDJMQNX0tY2xlBQAslzlOuB4Hof3N/rz0jfE2JbDNtW3eNN6/jemDi0ACpESqJdCwzjFSGlOisHpv3gIA3AL82l8EBjlL4v9HEyOmD9dQR8uytA2/YPdt2pWudmlcOmBk062uodjydum+CscfsMXqopPJxHevFl2ao69TkdaIrrWsZS1rWcta1rKWtaxlLWtZy1rWspa1fFvItyaiy3F0dbP3bbiwRXQ5Itm0hyOGZHt9YEjS+DoNfLa5z7ruEEDCmtdICBSMxjdpiNBHdYFjZnz2Scy2uHMb1x62WeHZ0QQBCZubusKQhJaG2aNZrSC04+0qPQmdVAo6bKOsAKBSYFC5muEIQjPLUSlkS2aYL1tOrO1ZjukrtiXonYMDRMww94zwWcq5Q/Y0DTaZ/AsBbDE1+4vTCU5nVpI0wyYjq/t7d1cIBuuK2VghETCz4DL/SZJASofQUR5RkGU9VPzd1CHXggAhMy11VWIwGPKeA3+Mc0d0iW6kuTsGrj7b/h2kCU44dlki0YO97iYLfJQ7c22blcaA5IY9KVEx0t8kgY8yh9LgiHXfS2a091+6hys3LBJqcjRFxHbXdVMhk47I3f5mUjVen6BqFBUzqdr4Om1HGrwxClEdkRusMVBMrY/CEDE5MYqZ5UyZbu2iYnbw5ckCKblk4skUPWbN5nctquI4AHqOaFpKSCIo/+Xh29jZ3bTHze2zYiPzZ2cGW3JvcwawoZsKMl7f8rLsHO4s1EIHeSMCnB9igsiqblt3y5TfEZepsW/24xiHtE1ZT2AknC6F0EQp9IiUqJVGn4jOvhFel+pMe0MeBcAh59GRVM7unuDaQ842TRGRB6xRFVJHyMnhmdYawvGL6RoV9TnQGgEzTi5ruDUI0Ex4P8r430kIyH07/wmf+YPDKULXWj3JYJjR7AHQcMclqlECOy4bqw02mIT89ckMPiN5JptpZ6xF57OzkBDoIP5WPn6HZgXmgRfUqfNLTZZliddffw2NUp4fKpASWWaRSvsHBx7tqJmdG6QZTsgrk0YCQ3JMqTSEcraJND610hj2rG0aQKIq2do8DVp9kgaHS/IQEVX69lfv4+bNTQDA7GiOhPpUq8qTgTvE87RsYKgXQV162ySUtgspAHKm4upmgPG+tUehEVC0x3EU49rA8qdce/wxAMALX3oRuxcsD8YX3r6DjBxbjzz6CPItq+sJCVIvXdxFzfH78utv4lJhM5yfOtr3md8lm7VorTySQASB565Tqk1JDoYjLJRDsZBEuz+Eok6XyzlqItN2d3dxdGg5Ch1qsCwLxORc01Xj1zetLU/i+eFwcDZ/iX+/zSIDFh1xwrlLY4EN6lKTSij6Mr24tU3DPnVJC1RcV6pEIuQzEkuDfaL/jsZ2DsZ3j3Hzpl3npsczxK59uq6RUQtLnmtatIjOQFcwtJuhENhM3BrLa98yODoikk4ZmMihLQSiAzvXKX2i6SRHzuudpT1vmwYQHk02o9+Uh8L7ZiEEBry2n59M0domN6btSyngG+6oLkmvOPVF4MH58ejWztri1zN5Cr3gsuK65cw5D4Win90f9D2iQCkF7fxaY7xtElynB0mGsbNNicRQWp9GZQEU/c+0Y5s2BpxTI1BzfspUetuUSIODhT2388PHe8d47GHLUTU7mSPq6FPPkHeLejMpao8OiHSFkvZRNBpJQjQEz3WhbzCfEP2ltG+6YbRBnwRhjh9nejz3SMdFEvlx6BuBlPo79/okETv6KAAjvk4+9lEMPv3L9hhEEq2sVysiPNohThKPsHOoZwOLIgWAZZ4jpq2EEA9w5QZBgIA+o2oaJESFlUZb30x1dPdcpeUDkzKCdlxpvM5B2sfcISsjgWFAbtMshKFfnDrUnFYYUZdSJaC4zpVZAOkaEEiDezM7zodsrjK5N8aV65sAgPlxu84ZbZARDZTz+T9clNB8NgNV+31AYAwSVg0lfBBvjAI0S8fLpFvUnAKCY/pN/M34YIaAftM87bW6pIGE87RwXG2h9M2DDCQGfP2ZokCSOKJ0nmvFxohTNqTr4zi0qXnwMwAJ+ceausLZqC/+vEsOv9L46xyl6/J1Ef30sZ3fOUhjLJyvEQvfaEdnEQznMXF7W6WwQY7vVLf8g0Ua+uZvgTDYm1pdmhH5/tZLd3GNujQ9mKO3Re7UpkbfNR2j0TiYl1A8VqjqFhFvNFL6TK5phxwFOBmTt02bFrfXGGQndo3N6IOfHM78MEyNhNmye/qP3riJ29zb9cnJW9y+g8TtL2SIrGdt9T+8d4SAlTmDDXs/+4cHODw85P3OPcI1ikK/z9fG+D2P83CECHC2rrUVVSdshmZg4wmARdHnvgmewtejS9+agS6ceuhEAPeQ/dDjD+EynZoss5NzZbmEYflYXimMrc1HCokFYfWamOKhNkhpsJoYGDFIUVQNLnGTmSvAsGtGTCXcvLKB1G06pMQkd7DsAEo5Y8oFpK6xyZKTOk19V6bjRYOYZYqOXDwKhXeDAhgkg017bcsFKpY8Va+8Yu/36kO4ObcKUHWdKSkQuI4zdO4mUmOLhnIO4P9Bh77fTz0JfZ/k4WEg8dKLL9p7Xy7RNViBf4gOfUcXV5a0mM/9Bg0GUIQJz6cn6DOQlXJTIgUwY+eHNOthzgALhMCFCxdxvtItDQAgQkDY+fnBRy7hGh9syR3i5bL0T05VNRhnDFRA+EVHEVc8MLa8BwByo9FPHKRdY8cRnjYGgvOW0kfZuDhE4kr2JDDj5myQhmD1B0JeRFHUGLlSsH4PBlYvTpYNIgeBJsS4FwcINrhgL2pfxjSuG/ToxGQbdiMdzGZ4jIGQfNDDlSceAQAsDo6hWLo55b0dSoOBa5SQRvhv2PEnDBR+7+/5XQCAN96+DQD41K/9amdz14Hfh+EK1PlsA+acH9l2QRPCO/W+uYHBqcXbzfF5O2puVe3WqtjXP3jzGh5mED3tW9s0Wi4guHgVtcKUEcm+CTDnM5zVTpeE71pXBcbrUl0p7CbtplAvVm3TlYsjxDyWDiVmvmQk9JvImPazrmrsJG5DmyEM7EI9XSoPp3cEtUkoELsgx7L2xJEQEiETBwWdyo0owjU6FnUgfdJAQSJyhLe0u/NA4wIX+lwY/M3SOezdjeQpRw2A7zgGoNvcAkLAWdFuGMHpoNHqVByru+CunmIlmAaD8yPntbpclCWqqsJF2sCPfexj+PRvfhYA8AefuIptduTNBixBns/BvAqaRmFCEtWBCDBzOkB96mnhKpNRBAYDb5sUdqmnVQNot5bxVrcvDRHzOe0FAnNXNpKGmDGQlRA2X1UVNmJnmzIowc5ViwYx9cl1XewnIXLehykaaG7YdKAwuGiDWnduWVL5Xpbgoes3AACHv/Kr0HS6Xr99G7skMX6Nvxkf3cNj23b8tgOJ/4rX26gKbjJr3s/88MiPiVbKd1Is8hyusMp2VLRjqJmkCpTGFglZD/Kl70h0eHi02rgMdh0s3fosRBvcF3LFHp6LvEOQ//feuIEbvPGYjvwFVJ4cua4bzOxQYIDEE2z3WMfRNxJs4IlcGgxjZ480LvTcOgdolnFGDI48dGmEmOtOPxDeNg3TEHMezyV2VKN9N0fZ6/tSmWWuYZgUiB3JcxJgwOTQcl75RkImAAbscpmyBGMxeRnXY96cEN4pVmjLTZe8hhOpPGXA3Bj8v5TzNRMsZquJuK3NDZyMrU+jjfF0DA/KqSD8WcEv/9VOgAtnfM8fQpxfPgew4xQGSJMMs8qWxTUKkIEd0x96+DIeYmOBdGDHNioW3g9XjcYi5YZJBJjRb9IkZu5rCcmxLUSrT1WlsZu5IIOAcaX+fH4fubyBiK/7UmDmSiWzCMwhIqVt0qrBFp9Tk/agaRemC+2bdLjStDQOUTOKWsyNDdTDliFtX7Pl1Mt9G9AeRiFuugSSBCK3wZPCJx6X7Ax5IhUGnMvcGPw47ecvfvLnYdT89KC/02SgoW8dJ7HXWUcvMRyNcHJ8xG8a31UxjhPvL8WJnaPBYIj5zM2nQs2SLiHPM0HY3sfq2mvXgu+/fhU3OA8Zm98MmtwnSrTSWLLMfShCLDhMDYnAk44vuBQGg6jdC273XCMFQFGXAq5Lu9t9hE0b6HAd70ZphDETGSFtQdk0GDiQQi/ziY7JXCEsXZmjs00hFs7OlwrCdSWVLC9D6zeNogDXqEtaAiHnoAkkYu69ltSLidTeNpXa4O/Sh6qaGmicr3x6vLHi5wSB9AGFvCh8cn/1N+17S9IkfF2l0itm7pxrF08nN+kP/tBjD+Ema4VD7ueDfAFFW1U3GgUzbyNhu8YDgHa6pAU0S01zGPS5WORlgy2uc8oIaAZ4EtqJwfbA61UiJWrXECELceSSf/TBy6pCj8GvtNdDyb3UZKYArptel+IANZuhFYsS+9xHCil9x+CS1zCKQjxJXRokCY5Jd5Hlr+IqfbSX+d33RSGu8LuJMfg/cj9+NN5Hxn3wko2FjDG4fetNANandqNelyUCEsiPsgyz+Sl7ZjRWfewHdcIFx4SQKDmmUradz6MoQl0VD/zutKxLF9eylrWsZS1rWcta1rKWtaxlLWtZy1rW8m0h36KILoC0onwtIGKLELpYa3zwQw8BAHaHNrt07+4Rpq/Z1t/ZKMG2sr+rpPGQRIfMTNIYYDbb5DUWPEW/MWBHWYhRisJByBmlFKMIb+/Z1w+pEMstlvEoBU3kwMxBajUwZlvaNO57aOEwiREysxVEDmGhkDCqXtYlAke0Ocx85jXct5HVgy99GWOisD5g2jKwsamxzQxsygzWhrLkhQAwE8CHGKX++8USDaO6jzzyKADg9ddew+XLNiOeLxfoDSzRLgw8qkYKYD6117G5aSGRWa/nUV5lXiAjWX2+zD1ia2PLgcOlh1ynYeSzClEU45Ckw+crnWiy0RCpvcfrRuCZ918FAIyYmTy4d4LxG/fttQ4jbDHyXSgg5lwLR/gchxAp0XlFjdyVkzbGZwjFqIeCWb1owgzaIMKt+1MAwM0mRLPr9KlBxMzR1GWbauDEleDGARLqZj9JEJLINGBGrKkAw2h4rjU2mPUZ9GJcYKb0DiHc+WCIOzsWpXDxeIwDZiHE9gZ6J2MAwIaDj2v4DMJXmxLv533+47LEL/3yrwEAPvCB99t77w8xn548MPbd1tar8iCs2mjTQuyVakkJV35OtFIUo6rr9r1zR0230FsYeNt0TQR44knbsnd7wz6nd+8cYva21e9gGGGbulQpjcwRqFKXwjiEpC6JokbOee5VGmXG9zcyNEROaT5jchDizr7NvN3UMcpNe2lSNQipS0tmrMJae4L6NAoREkAwTBLAZYKJHlO1Qc3S7rLRkC7LnUqIDWt7I9qmhVJ4k6jRZ9I+aurHDBpZ6VBA9louBIEv/ZgK4EM0ET+tuw0MzkJbdUpGu6A6Y9ru5J2sdAullu+eYDwN9QdWINauGcB7KwJBEGJne4htkqW//PLLGOxYBMFWucQzz1rb1OdacO/uEe6/cQ8AEI9ibDkUXaPRpz65DHKYhN4uiLLVp6zSKJ1tGmYoOHh6YvUpHcV4i/r0sI5R20uDVA14OCxojxIDHHHeh1GEvivfSmJEtE2SOtjUxhMzzxuFbTYqSUc95AtrL2aHXDeuPowDlv/sPPoY9t94AwAw2tqCICJh05FW71xA72GLRt2fjPGdzEj+5P1beOwxWwp56YodxzfffBPHbKBSFUufRQRMi04WbYbYNflolMLxcdvCvd+3z3wYpViwLLIFomtLCg0Qje5QDL8TVR2n0KaBhbffMALPfcQi5EbOb7p3jIO3rG1KRxE2nS5p4ZtXuLKaKAl8abMuKpT8PFkqVNQlM+qjZIlts2R56CDCWwdOlyJUm8zgqtqvpQXtSqKBY/o/F3sJtknMLGMgoI45OF7dGF+qW9cNAj6eMhEoiMB+8tlnAQB3X7uFl8d2rX1/1kfNZ702GkOW4Gb0mzYBCKI45zB4mmjvf8YW8AD8upTnhUfxa2PaOX9AvHHqvNdFI/C5hWxpI7y9EfB2bwXALHzDn/MA4hijUZYV6ubIE2SPhn3MlNWdqzLAMx+0a12fKJy7e0e4R33qj2KMwKYHDc7UJ0kfWOe116coV6gcmfSoB1ZVo2azld6w1aebiFCNeMFNjchRHSjXuAU4pD4NwhCZG8A4hqQ+Od/d1BqGqEChDUIioVUocK+wutMn4idXBi819vUzYbvW1abBBvWp5/zwDnJ9DoOPb9jn8WfnRyCIvyOnjcOD5WRNXWPo/GwSqaumXtGBgIg2pbVv/lMQtQtjUBGlGoaRRyYZrVZIoN9bESul0/aECsh2AQA3hMD7n7VrXp9I+OODMe6/bZttDTYTDOl86loh5ni4xy1OQhjqklmWyInOjOc1cqJw0q0BiobHoE7EWYA9rjc3dIj5tqMjqcE+QJhRJ2JtcMJmWptRiIznbuIEhn6T5vjZa7RSNtqjA2UcQtFvig/seWfK4DXq0lNBDw1vqoFG6FDV1CUF+DGcC+ApIpD/harxYFnhaZ+aSEulsVw+oHir0qF46XhTeFcn6msRxL+XYsyqbwYJMbgEALgeSDz1rLVLrpxz794x7tIH728k6Ls1qlaIxaouJWkIcLyrZemRvvGiwTKzr/vbQxSu2crU2qJklOC216UIVY9+l2qQcDjH9Jki1erShSRCj4NcxzEU7Qd8ebEtf7SvDQKWq8oICDbtHkMfWPu0aBp8gcf9mAy8L3ZfN7jE0t/M7Q2LChmrzqYw+CiRWaFs7YNv4NSZV62Up2VQTeOrwqqyxGBofSJXuWWl0/hupdpGrP4VAnBN6fLSV2/UlYKgPcM7Nu1YI7rWspa1rGUta1nLWtaylrWsZS1rWcta1vJtIt/CiK5Oy1QjYBipfO7mNgaMehYHNnJ4dPcIJmjJ/xxHURSE6DHVMQrIh1QpNGz9mWQxMtZw66MCkoiXIA0xGNsMSHjRRiyV0djp22zMYVAgYiZokTdIXWbBEd6lEUrByPwyh2F9MCLps5c9Rnev9jPIgY1qjheVb1sazhao2JY7JQJtR0g8SpL8REjfUjcyBod8rRmhFjLwKJh/01T45MLej9ZASLLKycSO33K5xJtvvGnPG4VQnr8gaWfDGM/XNXM1/k3js5hCCEQOSRBFCEKbmZk6sjltEJHYUAiBkvXyZVn6DNVk4jLm76V0I/+cB5nC1HY8PnrzBjJmi5aHNjJ+dPcIpI+ArBWCXqtPKfVpw+lTrVFPrT5lvRg9InJwXCDrt8Tjo5mNUIfbJCk0Ghd69vVRWCCh7kwK7bNFrs15nMaoqE91nkNTn0wgUbrsJzlMUiGgWFheBgJHLktZK2zPbER82yU2e32MXrVICTVfQLGOW02nKJnVLlwndhmRGBD4QlHhN6n/URTj0UduAgD27lrCw43REMv52B5Loc0ImBUYDlppXzsuLiHQtiv2v+0cq/MbS4jYfi6kOD9qpdOJrSCDYf7uQzc2kRKqNL9rdflw79Bfc1Yb6L7LnAQgawxGhCM0pUJDtF2vFyMh22pzXCCl7VFJAHFMPrcdqz8awE7Pfr4fFN4OjctWlxSvYaOfoOHg1MUSBL9i2cDzq/T5/G/EIRYDko8Lg4C6lFQaBe1JSIjPhSDE5dheQwR4dIwCMObcOJ0KheWrAIBfbxR+fclMjQjOQE5pdPM1soOgWCUjXc1kCtnyuslAQJH74J1pULq61vl7jklKIQSiMMR4MsHOjs1ux0kfd25bxNEHn7vg0XA5M4f37xyAFFwIKwXTWeuks00R155KQ81bfYqYpq5PSvT6jqctwjaJVTOudRoGl2s7lydhjphIsONSI/RAE649aez1qSmWfl4RSJSOYL9x5MESRZ/I0yCFuGS5lJ7+2PdgsWez99/1wxaFk6gQL/x3f9Pe+8YIemSzhYgTvHVovysH9hqryQT1fYty+9e3buPXiLy4dPEyJhNr0yMiiA8P9qHJ2yll4FthK9R+2sOgyyXouKFSRFw3S2FJnwGb4dQ+09iiPB1hq9YaXYJxhzE8PxHoNu5xWdTvfPwCMvoOk6nl89m/f4TGQd2rBtGmtUiJDOHaFThdqiqNmrYp60VIuc4VJwW2SQheJxKSZMubO3ZuNDQucZ07DHKkHJdxaTyvoCMzT9IEIPLclDnmwvFuBWioS5IorlgIpFznjo2Bpj+1EfWQaDtPSyIlhsscT/UsgjsxQElfUcPg0PH98LwNWsr5L8kI//PUcdQEAK/Hkc2HRns9sTySRC3JFpmlFRsrdaUL3OnaLiFPIbnA58zxUn5tvpP3VkTbaIh+3TKvPfLhw9euoc/GAwvy2d67c4jG2fqqQUTbFMsQATmrNkhCWZUaVeFsU6tP+XHheZqqSGLAdWbrgtUnA4MrfatPJ2Lp/aZphU4zKUc8HaFwPKhFDtL0Ig0DNEQwOELUQAhEvIZjbSCczWqAhM1f0ovWRifTu7hO8uYYQE1eXG0MDniOxtlBKdFw3j4dRLjxw38EAPD9Lz6Pn/u5f80vdRecr40slkGEiePeyew4TKbzDuLd+OcpThJU9LMdybxqGs+1qevuWitwfm6T8b6fdwURegT5cw9dx2Zp73u6sHuSg3tH/plcljU2N639F7Jt8jSIXPMPheWEZP1ZjB7twvIwxw79LYRAMrU2u7dl504IAbrxGAcF6P5g1tgGFwCQUr/CKEDFcauK3NtNZQQCIocUffAokEjIJj4zrS4ltYEhz5+g37QjJa5SlyIDlJHTJXjb5Hw0I6UnMf+0avApOgJBEEI5xOvK0nIKNfM1pWOQzoSInnGMd2p8Apwv35tvANXaTcPKoucuX8CIPs9kwsZfeye+8U1RKWxu2ucmCCJvpzepS0WpsGRziLSXoM/4wPJoid2B9Y9EKNDnnu/Crn1PSoFQ2zVmGRSIpD3epIJHKmXU3CAKIPmkLfMlSqdLkAhSomDdHlwKpKzmmJnIc1GmjYGZ2LUpJhfZ5VmNi/TBQwhsc62tjcERz/H41oj3G2HB5/+/mc7xs0RxNVoj5Xo94N/RaITXX3uNQy8hg9YfL+gHxUni5yNy/OQPEMl39m4exWw/D6T0aEb7Qbd6492rKb6FA10dEdI/OJ+dV/hDLDErNu2kXR8tcOt4DACoI+lJmpOygqKx3ONgbYYBIr8BCtA4aOpmigUdfpME2GbXhJrv5UXpuyYEEBhTMWAApem8kxyy0Aah6wIktV9kEpkiYlDFOUWxDDB3JHa9BMuKpYK9CNmhVeSGZSvLYYIvnNj3vjfp+/IfEQSIeZ9vsexos9H+If5oGuG/4MYbwvgFbswg1NPvfz9ef9US3hf50pPNN3XpSwyLIvelAhE7vOiyQhQ5skeNklhsYwDNMVGOiHbQ950h4zgh6b397mxqNyPnK50HTgRwD92/nZT4PcSW9kk2fO1kibssdRBJBFG5ktQKiqUM92moRkHgu9FpIbwhirdSTCYOIh1ig4urpvGdFzUm3HjEQuLIwUUNAMVNhNMn4xs6oZINJCe+H2YIGJHTcOW6wjvkvSxCM7fH7fcj3Nu3G+gFA7rNKy9iuGthvs8ag5wlCrFusCQZ4i3O/7XxHEve8wd7Cf7mPVsqnBcFfvXXbOmiK/PpLkJBFPsmBWcbva60UGmjTacLkXjw+ytBiNVF9fzWWNEu7m4zKVJ/IZ+ZlvgEnZ7RBVuWdW2WY5+OaRAFtv4VQGJqCHpW92mbhoH0XYKMEGhYPpFsZphSb6IkxAYDXMWYtikvsfSoXoHjsoX4SuM6eNpzHJjSk9wrqRBwAQwRA16X7HuVkDCc834WIedGV6cR5JF9fmtHHDyIMGEXyI8kffDSoWVbSnfCgP2WMp5Q9uk0xI/dd6XLp7qauTH3hJUdYu+udJ0e95ZB27hAo6MrnV1mN3jaff1OHYreY5FSIE0TJEmCBR2GO6/vQRBm/pm5wvckdi6HO5sAgBvTHLcZvImj1jZlaNe6AzrcAyG9bVKwhOoA0N9KMWYiJ4pD7NA2GQbjF3lnrZMBDkrXWQcIjSMhZ0mrtg1VAKAJNATHPIsyBNoFJe31LLVBzQ1EEgfYIQF/tLWB73n6QwCA3/ilT9rvLipc+pN/3L7+9GdwiY1ncPcONujA3WK5Sl8KH/x6BA3+27F9XZWl3wCOmdTZ3d3FIbskNk0BR0APEfgEkAAg+FwkCRMTQmCxYKmwDLDkayFku8nsbExb0nnhyaONCdpygHMRGkVfIhB49f3lcYE/wK6JV7lhF3mNN6hLgziCYHlzagq/Ub9H/RpCOH8dRggf/BhspRif2HUu2JXY2rGOf3Fi9Wte1Mi9q9TqkjECNd3ThmS9jREYJo4IvvT0AHHUs4YE8IEUSAnFuetnERbc6C3rJeQde08v0x9prl/Ei2/ZQOiHkp5/orWUSDhl+2xUN2oMHPXtNaHw5bnzTZqOKXBBrLbzoUHbdcoHv4BTtqT72tmmlrDXGOP9wrbpStf+SLQXcb7FGkIwqSACCJbx1koALCP59KzB9zIwtLu1CQB4ZFZ4fcqiGM5BjXXpyaDvMaDR78bvIKDoNw03U0wYtJChwBb98JK+1LysMK9c4jhsbROA2HXxZOB5UWskkYsSaJ8IUCbGRZa00dVFCeHLgoa9CHNuZFUkEB3bZ32fm+mmH2HOoMmzaUefAuk77x3Q/x8pS7YPAO8zNf7aP/57dhzu73VH+8HXnTUpkAJZ3+51hoOBt2V5btdgKdvuihDClyMqpR9ofqG0bkteYdDVI6XOuSMsuvmoxP/jtxYNPtG3z8yjbF5VzXK8zoR6P44tdwYA01TeNu1Tl0JtfLPIyNhyJwDobyY4pB0aRgE2tuy+ZXFs31vUJRY8RpBK3Ge5tRESiXDrHAnsm8A3MalF423TMM48p0fjOzxKH9zoZxFyBl4QS4RHdp6W9JvqQYz51J736TjrNA8XvlvxXa9LBhV16ek4wP9w/z4H8wy/SXTtw9eTsft6Pj+lHeb0cTsB27Py2e+VGKyWLorQv/7NQuDjqR2Py6QXWA5bXRokMQLaJZ0v4aKb+7QpgTZ+ndMGqLk29TdSHDhdCgNs0mdS7Mg67+hSmkncWThdEggZ5K+dLkWh36OFogHoE2xmAxjX1ZY+QyOE96WzNEJDKhERCgRH1t/OWSZZDiLMmHx4HwK8RTvwbJZig4nwI0Z2B6WCogH+X20N8F+9+joA4NFHH8XVq5bm4UU2qHv9tdf8UCdJtLImVUwgGwh25uzsA2WIlXXK60Qb0He+k9bKN/ixgIpuEPedSxadrEsX17KWtaxlLWtZy1rWspa1rGUta1nLWtbybSHfHogu2PaVAPDMVg8nxzY6O2JpXQKJKw5VhRALB3WqKpgRW4IyqL5oFFx1mawaGEZAi60MAV/XtyZIdjcAAOV9ey6lNXS/LRNzyAIdSdQshXDJu74BNMOwOgYSwnFMU8O4kh6WgR1Ol4hYllQ1jSdVzPaXMERyxY6McJYjdMSGBgiIkJJNg5qR6cx/bnzr1J/KG0iiBLQu/ZhOxxblZW5c99nIOE6glGtxmvj3gyBAylbsjWuBmsRoHJklbEYIsKUItSf55bivtB5tyzksvLrE+YmLHncyALrGBmGZz2ymmB3byHiPLchjIXCR6Ja6ET7DW1clmk1G53l7M9MggSMQV6gJOS02M8icSIa3J9i8TFJwklBqpWGYshG1zXADlvw0Z4TflU+musUMGAFPVq+aEpJkiZr6pCqNnNmcSgCaJa3H+1MYZpEip0+lgCGabj7L8djDDwMAjtIYm8yAzPduAwBCKTBj3PyTSiBhu+qyrj3qr3YZT208eq+pmzOy0sDZIPlTUOiVksdTKBygky3qonDOyDydh7iSH7XAKNkEADy5kWFGxKWgLiUAtpmlkTrAks9IVVeQDuVHCPq8UYjd+BQNAupSvdWDIfHs/FaFeMdmd+ck5dVKo6YuyVr7S2sCoCKpoytniAC4FJFIJCJHelnVkMEqwmI5L6BIQN0YAU0bkx7lAMtL3HHNfA7DezNCQFDHwrpG6fTYldECyPnezy5Vp9TqbJSfe27NA6WvX2fa0HQgXcJ0UPrdUqDTGdCv79D/LmIM0DQaRVlA5mxHPchgiOh8aiPB4oR2k3DwVAjsuq4QGiiICs2bGpKNP1ixhRmUb1yBSnvbVG2EEAVJbW+PMbiwCQBYHlqEgG40moxjrgDBekQtDeqmtfeAbaQg3VonpW+GYuoSkghRTjtko1ByjgsAL770AgDgh/+D/zWiDXsNH/rO77S/374IdXQCALj/m5+FOLGv1XyJlA00dundHE4mEFybfj3q4YMf/AgA4LOf+bd+rCXnuqxqNK7MQ0iPQJNB6Nc1mLb5hWQGVCvj1yytdYuakvCErHnu6AFkx04ZXyopxHnnHWn73HMkBUaJ9S2e3e7j8IjI0tD5TcCOQxAYiZxo02VTIdqiv1CxBEcYhKa1MRXRf9VmD5rMvPXdKeItm0WfMttsGoOSYDyhjNelRrSZX4d/6gNeWbQQyGh7RFNABvTjmG6vygpLzmklBDS/OzxYQNA2lbm9hmjS+EYaAoByNBdKo3blbO6ZEsCM1/MLKgAkL151/Rei8ZMENZHpX5+0KL/WHnU/Fx1z05JLO6RhN9PdEjKfrwwGPV8qJxBgGNvynKc3Eyy41sUR1zohsOOAsQYoWBbYNDVS6pMh6mEBDVeEJmuNsqtPRCTXezMkp/SpqTVq2iYoDeER0C2Sy5V3pUJAuDUpFIiIBM10gyXX3AHLHG9sb+HXX7tjrz0KkZIUvb8/Q8XSIHCt6y+WHh0rTKtPUilPqp923JsFF+Sf1QGCwB5LK40HF5fWj+k22FGm9YvGk6kvKXXk8XVVtbal4x8FstUnw+fGGNP5yr9HHISpMUyt3XxyM8WUujTh+MQAhjTHqREoiWRRTYW+Q/lxPcuN9jYvaJTXpWyzB+1obu5OYUYsLeO5dKNRZxxLbUtsASCHwdKtczxuZOCbFahAIHUNVprSN2twpVdVrmBY6VJCQPG72XEOQV2SrpnHvISg7y4TQFFHpVJoXAmqmzsYOCv0s418B7+piwR1D+M322Sg60t3faIO+v1MB+mc7ZJw1+NsocYGn9cnRyEK2quZtGMdCYmR0w8tUXGda+oaw237u8rt24yG5HNR1woV6V6yzb4vTS3vTRGylLY4YRVTo6AcAb0WvkR/rrUvK3V2KdTG1640AZByr1RUBRLqkquEahqF3PkuEL4KZHicQ7KyzdE2mfsFauqozPreLi3rBsXYokBB/RuHIULq4N8ez1Cx4qOfJjhk0x13DVYN7OuyLNtx7+zXmrr21EY6cHvSpqMKeuV3redOVGYYeRL8riitWtf8a9RVf2sHurhJQ9hHRkc2P5nh4888BACYv2k5geLhABk3gkdFhcxt+nsBAkJeQwaxZBSgiLlgZTHUiAtaHGOW2t9d2NrA7NA+LL5zXhRh94I1lPt7hz54pYxCTYNUErIeCY1Iuw2kQcFWUztZgoJ2YYPXU6XCdzacxRKCUOwYBhHnPXIPnpT4X/RtAC7XGgGjLVJIhDSGW3wYpQFmfCi+UNbQrqOZ0S1/CCMph/v7SMifNZlMERPP3e/3PQy63x/4MsXjI5Z+KN0p22hh9/3BAIs5Hd1OqUYbt2g3AlIKgAs32q+ek9A5CWP0GFAspnN89H3XAQAHb1hHJxz2EbHe4qgokTpY+CACuEEMFux2mIRoWG4hg8iXmQ6iGMvM3tDOxhCHLEMFF1YTRbh4wS709+8eISI8WWiF2jnwHJAQAiHnykCgpHHYTlO4cGJD+LNJpXdqmshgSQh+og2ucNHfYfeZ4+0dPLZnjVp98QKOHGfKV76KMcuN+m5PrTVCljO+qAym07H9QNjyKwA+YCkAD2OFCBDFLAMui44SdCGt7YLVebOLc8eD0g2IBav/PreF1pwK2gEIEqTUpcVkjg85XXrb2qb+YICQDv9RUXoutaAXoiEHX0NdknGImp1dBlECRU6lLIox87o0wDFtE8gDYcIYl1gytHf30AdChVbQjpuAm0otAEn90DCQ1N1hlnrbhLmdR5OFUK5DWSBh3MInBcqJtVmp43ERAt/joOJaA3QcGtG600P+PDTAlLbpy5WGwGrw5EFhYK6zsTPdOT4zQHbqiCtBrbPOdJb+nC8EP01TPPXUU9C6wSuvWA6Ew2mNi+QYmY9neP/jFka+f8uWuvQHfYQMRB6UJSKOs+yFqLimKNaxRnGIhjxvgyiB4Vz34ghzkrdd2NjECUtzAhfcimNc3uFad+8QMW2TVBoF57th8CbUGgF1rK7aUpkL/R5chVHFMh8TCFxnp6A3qxoNgyif+oWfw4XQ2oiGAfR7n/kiPvLaWwCA7LkP4rHv+DgA4MU//5ewf2hLsCcHtkQxDCTGTEd8dl7jjbfJJyElYq5ZTncefvim75JYV2UnwROhKFhOL2TbgZHaa0wN6E4Jdido5cvw+W9hNFaKgFyMHrrj4p2HuA2IuxDpbVM5m+PZx64BAE7uWl3qjQa4RAf3XlEgIh9c1I9QcGNZk68kiUOolBuHIEYztPOURhHm9Jt2h0OcHLGkk3qnogBXd60u7e0dIo5ckKlBxTlRXGvKpkFfWke/qox//0K/7ztIl1zndNiOtwqAgmtPTwqAa56boZO8wvcNbHJAaY2E99wEorVNbhMLoOTUP1/WgHYcXa24UtQkjrH4hgJdXRvk1jz/H6ysL/5z4bkx3+lQ5yLGBkVu3ryJt958AwAwnjfg8oTZZIYPPWH16fYd6tNwgAu0TffLEgH1KR5EPlBRcK1LowCKpexREEON7POfRRHmibNNGxi7tY5+E4YRrtM23d47QOoSMapB7bjX6HNqrdtymMqgTOzY9tIUOe3UEYm7dF7h+z/8FADgZz//AiqWm6VCImWXvhGnZiolPja016C0QsQAeRNJRzGHjPpUwmDCS39+qXDr6JYfYpc4LooHE72uJAgAsjTFpcuWYuLk+ARjdjXTLqktRNutEwYxA6PaGBj6dI5fsH5Al34n/KbuuTgYMkRK/2Yxm+MZrnMHd205Xjzq4yJ9pXFRtxy0gwg1ud0WfM6jMIQgt1EQxDC0TUkUYcmI4+7GABN2iDa0TTKKcHHbrkcHB8cIXCJPKc9/XLtO01p5WgmlLGcpYHmMjOseO2NpWz/y9A+NAHIm/RcAhku3v7MylQLfMdzgcRUS7re0lJ5Lrcdlp4TBgsP3ldyg3fl3glpnlcF+0/IOTs87Btid7eomes5fZNz3gcf5bI7vpC7duW3tUjbMcJFBlPtlCbjOqIMQtUsgk6IoDAOE5MQKgth3F7frHH2bzQEmtEshE8xBlOAS17mD+8c+kJkCqKjzDdcdZXTrViog5zzu9no+mF7MuZ8L0VIGBAaadqEQAin99NQdbXOEZ1wQTzV+TZuGAVI+9z3ua79YzbHDZ+ZX88b7Ca+9/gYG5Mwen5DuCNrPp12uulxaLmEjMRxZPXbc36LDVXlaF80px3o4GOD4ZPzAOQSEDzZ/LVmXLq5lLWtZy1rWspa1rGUta1nLWtaylrWs5dtCvoURXRKAi6wG+L99+AIA4OPf9zGcHNgs2ucPXwIAzO4e49pDNuMxvpvjwk1LcmuExt4BSw8ZYY17EUJG40tVocdYYJErTwB3794YG8wEzdl48OIwxcE9W+YlGwETth02HAQw5t+yMR4J1csCD8GvYLCR2QPmLK/MFyUqRlNTGaMh9tssFeTMZsJfPrIR0sdMiLHr6uI7OAGJBCQzN7mDMQYC/4CR0LuqROjKkpTB5Ss24u2CrfP5zKNxtjY3fRfExXLJbgrAYjbFmGgzIV2WezUb5LLY89mDMH8LUmT2PEn9+aqyhDj3eKy7TjsGQRTgv/yI1ZGPfO9HMTuy4/zpw68CAGb3TnDtoUv29Z1VfZpTnxqiApNe5ILwaNAgIfKqKAwU7/3keIZd6tPMJgiwkSW4v0fCewUYpgLDIIAMnT5RN2vtM3FJGCB12TmhMSKaqmTmYTEvYNjRJQtixJfssXQ+w31mnPaoF09vSky0I/RNoEjeqwMJsHxgGbnMvMQ/ZYbgjTz3yA0ZCMymfMaIaBRB2CabdIO6bIlS25KNM6L0Qp6qVvwasOgugbjplL9Bn2u5ma06aW2TkAJ/7TlLoPrh7/4Ijo+tXr/6eatL83vHeIS2aXJ3ieuP2tcGGnf27fyXtNJJL/Y2pNIVUj4Xea78cB4eTDB0HV/JpLzZS7DPEmtppCf/DgMJwwENPbmqwYIIxUEcIiF6UwfAJrtuLl02Oi+hieJLwxBq15UENb7D6u2xPe/jUYIpkRCNMSu2IeU1uBLgPAB+Tthj3almiFmCXlVlZ8o7mSCvE+1xhTyVNTytT93Kxncllz+ti78z2cjFfI5Pfeo3kGYphGDZdBLjP39uCwDwse/9CE5omz71xZcBAPP7x3jkhtWh2d4SVx6xdqrRymcZFYm1g34Mh0uqdY1Eu1IPBZdTPD6eYYt2Jk9bfbp3z9kmAeGIUwOJzGUqXZlHrVEzy5hmIRLapkI32CSBfEXblC8q3GM2ftjLELCR4sGrL+LJ3/cjAIAJ17qtZYF4xz5Xd194EcXP/ry9tqbBfdZmum5FRhj81mWLLhkpjatkFt/fv0eoPZCxs9XnP/cZr29RHPty66Io4J9paI+EqJX9vD8YYrlw6B6zgij0ZsiVQUrpf79aYiZOrZnvsfhMOtHBMsJ/+hGrH9/5vR/GYmrn6XNftro0u3+Mh69bXZrOl7jysP2ugcbRoV3Da9qmrB/7rmQ1GsRc5/KiRXUfHs/Q573WRJtupAnu3be6pLWAEES0BoG3dakrn9bAjJn3LA2QEo1X6BqbnL+MHbNOpjkqVxIURoi4ztXVHBHHeJ/NMR4JYyxYghoo1VoWGXi/qeDNKQH8qrTneGNy98xhdmtfnCS+XGOFgP7dZEUHOuhAo0+VUGOlbMQ2G+uUjZyjGADaaLz99tuIibIMyhz/l++w+vLx7/4w6iP7bPzKl6hP1TEeoT4tFktcfqj1mxwKWVGfwn4MTj8qNEi45uTQMByDw8MperyehoiujTTB3n1rI4wWQMc2ufLkkGMTSokZ/Zg0kZYkHBYpf2FAPWJTDrVY4rfv2t999MMfQlCMAQDjF+8jIAJkb/8EAHA9SLAMnT616IZAGTjtciWMjRT4BT4rr0+OPeVDVddQrjEVy/Vs9UPr0wja2KKs8MYbliw6CiP0euwE7xqClAWM1z/hu4ImSYKmsetH3bQIsX8v5WanziGDEH/l49befOy7P4IpO0l/+ku2Kda8PsITN64AAE7uHOIm/fFKNxgTNarYOTMbxIidEy41Et5/U7VPy737Ywz5rGJox3UYJ9inPw8tIAKnSwFC2hZ3rGWpPDVDmgTIWG5WaoWdjOWWRCUWRQ3NpmC9MERygbalWqCa2nmaTewe9lqYYEFdkiuNAtpyU2fnjBD4ZVLQvDm7D9+NzpgHfB2BtizM+sffbPniNyJd5/0cxcDaSfpMRgD/2YftnvVj3/VhzE+sj/ErX7DxgUV9jIevWv1Z3Mtx/YaNJTTQ2COaXbNlazxMEHswbYOYdqmB9vu8e/tj7LrGNexKvpW065w0AoIeexxIhH4/Z/8uK+3RmEkSIHGli1phJ3PrHLtez3LUodvPRTDbbn/ZeBqj10hvcTPJME+tDm4agV3a0UQE3gcfcy0JYfDfkvbi+ckYgmXfm5sZJmNr59pCm07TlRUEcmdKtMKJK4/0zaMM+qQIWiwLb58htEepuUOdTCa+i+wyzzvroOmUZT9wWi9rRNda1rKWtaxlLWtZy1rWspa1rGUta1nLWr4t5FsY0aUtOx+A77+wgbsL1p42Ib76suXuSK7ZKG2+t49qbiPzDz/zEI7u2trSRlfokZtmSS4TFQtUjGpe6EVoWKNrRIQ+I/OIAt+CNGFb5OUs96SAkEBBjiHb2pd13AxYJmhJwOtKo2bEPgobgBwUNTPNRhpI5fiQDDQPoi8OUJUuE2Cjra8scjzOdueNgkdrSK19MN3x78xDgUd4DdPpFN1waMqo796ezVhqpVASzVNXpecMq+oaFy8RMdDUloQX6KawsQrBYTZBCGxsWlTCgu25m6bB7u4FvjdHE7QZUBeNPT+KLl4jM2ef2B7iIHftikM8//LbAIDhTZtBWty+h4rt4x966gaO7tkId92UCMlNEzAa3kQtsm0rSVGXjpsKyKhPQhtIZlQSZg6aokSKFhW14LwFoYD2WQTqoIAnpqwqjYjHiELt6c08+X8gEBC5MZIG+663+1YG7Vp0U5+ez+f4voHNDi6XS1/rLZXyDYtd1mAugEtMCiVp6HlKtGp8dsIj/VSD1fC70xvZvn4HQl6PeHgn6gj/vjzFtWRWv38uSSVhM2NCAERIfe/WEPdomyoV4auv2Yzk9sMWYVK+vYecjRieeOYmpvfHAIB5mSMm4WntdCkW0NKhajKURL+EiNFnIwEVSkTMBKdOl/LSoxhMADSOV0hYBCcAzxmRCAH27UBRKpQJ0V8hPDefI2KVoUTgUCpQqNw8XxhAs9WyZObyraLAVWZktDKoHa8W/we0U7IUAtdC8pqUS2jV4Sjxc91mdLocXI6A94HW1qepAN4xQf0u/BIr3znfzKQMJPqDPjY3N3FADr/v2kywP2fL6kLgK6/Yte7y4zcAAG+/fgfF0n73sadu4tBx7DUlQuP0iWtlLFHxeRtmGYrKjnNsYgxISqoajYC2KaM+1csCiXs0I4HKNVMIBCpyXjaO2+qUbQoChzwVICABDW1TLQwC8m5eySJv307mJ/jUz/+CvYZdiwJ55NoV3P5//wN7rKbyPDZ5EEASZeqbLkiJwcJmE1+7fRfSkY0HASKit9xMShl4BFqUhK3N0qptiy0CBJ7vB/zb6oIxQORQLkEIzWxoVTrMovCosboqPT9OVVU4V51yBMTONu1uYcx1rtYRvvTyqwCAq08+AgB44+U3US6tbXryqYdw767l3jS6QvqALgGOoWyz38OycFwzrd/UhBIxF3HHUVIVJRLXuCf01H0II+GJc50u9YRExXEua4OGHsHOQMKRHzm/SYYCIW2TMQoNfahgd4CCSCNF2/RGWWGHDQMapbxlEVojcGS4rklIKHBZcC3Vnfk6Y025t7fX8ot+I2KhWa14Xq4OSrX7XgcRmCaOzDrwXHPnJUIINHWNk7H14X73tWs4WpBbtg7wmdct39SjzzwOAHjpxddQsQHAU0/dxL27lktPqQox9alxDVYiwFn9zX4PS/pNiYrQJxdcHQAR9SVw+pSXHnEhQgFHORVHAotTfrioa0yI6JrXAS47ZESkYGg8+rRHpRZoDvcBAF/JF3jyikWT7j5zA0vYZ/2DH/gQAGArTKE+8zkAgDYlCu30UIPbBYS0u00Q4GF2vwpE4xGmQRjgxkOWa/iNN99yI97yUIrA+1hKKb8khWGIgv65a3Jhur5Uh0+nqiqvL4UjejbA2eub6fz/PIRk1LRN37k9wj0SfZdNiOdfs7r0yDOPAgBeefENLGmbnnrqJo73rG1SukJP2kmfkJOyiYX3V6/0e96+awVk5CGSUvpGFwlte120fhMCy70FAFEsUTjOPn4eQqCmzlS1geREx5Hy1RjgOhBHEoVxXMnCN4qSWz00Yzv/NXX8blFhO7B+k6yNRw1Ba2+nAl5YEwW4Qb7nli8SZ7o0BkBEfy5NU6931akmYe8uD/roDyBSz7yI80Z1ac9n9bt2+ziYO26qCF983a5zjzxtdem1l95EVVq79MQT13F0z5Gt18iIMHZE6E0lve96td/3uqQU0KMulVLAATkHjgOzLOGmRgYCBXmQw0SgYLMeJZzPZHyDpqbWqKjPcSS8LjmfyQh4xRRBq8PpzgDViZ1TxaqL14slLrLCRwp4/kIppa8IcruvJhC4yfVVqNJ/cjI+hvO9W1sUYmV3fmbjL9NBctHfNwYNB6rfz7wPZ7Ro9Zx/tVIovf/UHtYCyLpo1LNFnCtU/hxECNHSVNMo/pXf+93Yya0jO8yGaNih6nlu0q9sRAjetkTiupGeQFA1NTISy0VJ2wFqwNKuUBrMuEhtZxno6yA/WCBnN4Y+NWMUBVhwUvqBwB2SkNZaoe86ZTiDhgA5NwRaabjCo41+5ks/akfG3gDGES2qEDuGpYLFHMptdJf2u99TWUJ6ADjRDSrpFutWcY45eP93JfEvSdoLtUDrsLUd87pw+6ZxC2GrL3GSoj+wBHuL+RwByx9zBsWklNDuIRTCd4HUSmHE8seapOSLxRKbWzb4NZtOfIc31TQemt+o6nPGmI/hPRQhhJHUIwcF/9Hf/VHsFHYRHfZGmDIQ8dWevdftoQRI/lzXwgf4TNMgoT6FdKKVkRgkzpExtgMMgM049R5XPSnQbNt53eCTvRmHXp+GgcBrJO8vtUbPbb7chkyGKNwGU+nOBiBD0jZVs9eggIrk58W8wSYDEnUcoHAkvEv79xMyQelIyi/sINiwczZc5mjYcGCPsOkfOxzjc1zc67rEgoFAKdvNYGvgOt2hVmej87obmOpsFow/2KnffS1o/YMOmjYa5uthMfwGRAhpbPdS4aHgf/kTH8BWYYPsg94I86V9Nm4NbV3WMDMI9qwDrRrhF5ymaZCyHCNOHHmsxKhnX4fSeAd6M0491Hd2uITeYcMDWsqNSK7YprcWzjZp9DiOrpNiJIOWENsAJR2yq5sDP/bOKgQKUCw7nc4abFOXmjREwfcFSya/Ox1gQV05aGrfMbQvhHfYx1zof0In+CRL1KDmgMrhL8iJi5K84/rVCXR1y1jPKo1dCcjrUwv11ydan49tCmSISxcv4WRiN5N//rufxVbZsU1cZ+5sbAAARhmg7t4DADSV8B1/dcc2RbHVIQOBHu2UlMavORtR7G1TOS4hd+16MOB7G3EAt4UeRQKvTe31lMYgdg4IS2FiGSKnXdHKoKI+XdroISFk33ddVNInbcbjGt99mU1lVAPFYyTcCHzH5jYGhL2/+Nufxz0G6TIpMWVgZcF7/8l4E79JIvnhIMatt2yZT1PXPuDkAiG9/gCTydi/diX0uql86eFZZR6iW44ohC/nSpIESybZXJMXozUaVypkurB/AyEllG5gjH7vbZOMYANdtE3f/2FcMfaZjZO+LQkAcG9rEwDQjzWw53RJolaOxLvVpZhOtEGAHsnDg8D6PQAwDCO4Wzk5XCDYsXM2oJ4M4wCOrr0ftrrUAIic183zhiLwwS+ttS8D2xmknizXSWQCGOrS/rjGRmedq+hPjXji52qNpSMrbhpUfsMhfFDkmDbqH4sefp6lIJGooBt20ZUSVXl6k9g24PmGvOwVe9QGcaw/dioIIWS7JuKUTeN3tGnec9sUyMCkaQ9plvr1+c9+7En06Idv9Dcwoc8yvrgLAAhFDbPn/Cbpy+WUUn6tS7jWAQF6DACFAVDx2eoFESQn5eQoR7Sz6ocPY4mFC4wGAm/M2I1RAOSK9mX1xgiUdducySW4L44yDKjLLrA6m1WQ3AAUuUHMxMPsygV839Pvs989sfp2YVHg9ku2LOqhQR8L2m4pBKakLDmgvv79MsAvsWNslgL5wtqKJ554wpehvvnmmxyzygfYlWoJq4WUK51bZbi6NhoIaHZ2C4LA2zFnrr62tPsCGECb5hz8JmFsorcNdP2F738OW8o+oP3eCIvcvp5ftrokmhLJkd2/FCV8wKFRDSI6va6zs5AheuySEIbw/noiQigGGU6Ol0i2rW1yjbt2kxAL3n4/EHiTCSQtAOE6U9M2SRFgWbbBwtq0PngWu/XCDlsCCUO9m80bbNE2qThATT8spt/0XDbAnOtk3igfTIs6lA1H1Il/ggS/eEC/yVRndoLtiuvOmaSJt11KNWd+911lxcd6UGxAYjXQAbz3flO7zgGCZZz/6Q98CP3KjufmcAPHtAkLAmFMsYDetz54U0tUjesG2yBmYwK3dxWys86FbeI9kyEa6sTspMDwgi0tdGvYbhaC23QMAni7ZNCCT0xHlxaOzsUY1IwPbA96SCMHIGBwrAE0daYuNAYs8dVx6DslatJMfMfGJuZ8nqumwcO8p0wb5HxfMfD9E4XG3yP5e1Ucw9kBS8rgEpts8BBGqOl/rfrPwJk++EqbRHH6mzDGICJNypD7pNl05mMQMghWqQCcPTPqHXVpXbq4lrWsZS1rWcta1rKWtaxlLWtZy1rWspZvC/kWLl2U2NmxpWQPxyEmDeHMRYHLj14HANx+wZYJZScGm0Mb3d2fVggYFdcNYEgWZwhtlHHURvEVMGJJUCGAmFHEwdU+QmYWL7EFcFM1OHbwRmWwQ0TSWGlIV4LGTHpiAkTMeC51g8LBrmuD0EMhDT8HIiYKt43C8WJsrzcvcDC1UeEbkiWVcQ+iQ0yaqDYzuXDE5UTofERK/M9ERZimLW0MZIgNIneWRAvkebEShXev66rAyUmL9HJlKe5zi+ZysG2Ba9fYvvz4GAuiSlyGyp7blYNoKBIK7+zu4oQZr/MQAYFASihjcOWCJUp9LI29PuXzOR5/1JYFvfm8zdIlJwYbQ/v53kkNwWyvNAHkkBnJGeGmaYiSg5spgyGzAaUEYkbc+xd7vjzjIskG0TQ4drqgDS4yO3VQKgQc04BQ2QStPi2UgSJyIC8NhGRpCs+1NAKmsO9ltcY+EXVJbnBrYbMBNxipr7MIhmU1pigQcn7KOIa8asdKv/EmAOCjaYJ/y6zbYjFvdUC3RJceUyNES5r7jlmgDuy1m7EWZ/xOnFE34o/hxKz8OR8xNsUiJIYjW9pwNQqwpC7NF3M89JhFqdwh4XMSCVzatHN+66hou/FqgbBPIviFK6UKUDD70zNAn/NfCYGAWZ2NKz2UfO4vsFEEmgZH3jYBV4nC2FuWaIzTU3usGCEUy0eM1gCfz/Gixg7r1cryDF2qNE54jnRZ4mBudek6s2uNhLdNqRD+tZQCSwfTpk39oGjwydA9B+N2eFeQfR1I9Eo9YjdN3aIiHshSruhP59+nkV7+p10kxTsgD99jEUIiimJMZzNcu2QbhFyLQ8waO6azxRw3qE9vU59EBOw621TWHi0HIxENaJtYShvHMSpefqIM+kRQNBAIudYNL6Z+TC5Sn0zT4JjIhBMtcIH6dJCXiB0xLomAQxMgdE0TdAPFKZzlCobeh7NNjREIK3uunTDGqyyJet/Dj0InNkP67B/6IABgu2zwxr/9FHgjnjRewaDmM3KN69sP9BJ83iGvB5FHHl+9ehV7RJi4eZzP5775Sb5YoKtPkmWxxrQE6yHv0yOeYbXDZTjrqiSJtMuWu+O02W1PCgwD0y05OReRGKY2S7phFCbMQveaBS4/ZP2p2y+/AQAII2BzZO/vfoesWjQSUZ/obPpNcRL40kWpDWKiKiolELJkZ/tSD2R8wC4zx7pRWLIMo1ICF1hOcVRUXncl9StEgID2Km+0p38Y5wqjxpHoWslNA1PYk6WVwoTo92xhMFlYXRnSNhVZH5VDPwXS+3mQAqww8Wj8p4IaP8f1rCxzeMJntOPTNRUOPSNksNpooGtvHrA9pguDhiQyQWmDB7PitlwNsAiEFeTq10HS+82KNhpFYXEAw4Fd666nMY5KO6aT+Qzve9Tapp//svWbLkQCWxv2Xu6e1L60KGgk4sHqWpfEIWoCh4TSiFNH6i8gqIs7l1IQyO4Jv3XdoKDfVDRo9ams4WqZJX0aXRpktBFCa0T87jhXHlmzcGshBAL64b1Ko3HVGXcP8Trvfze1iP/lZOx9pdeKHH/sT/8p+34a49Yv/hIAoGQ54kcD4Fdi+zzeuD7C4eGBvfayxOEhy85rhxQ0bYUEWnukjfZND4SQXh+Ua1CUxChY9aO1gtbfyPrl1o9vHOX8zcigZ8fyWiywrOk3LRe4ftPuHX7jK3aduxBLDLftmlCUpdclUwLhNp+HmZ3DMA094l0og4yo+KqAL0ffvtj368a2K+/SjUeKzQ2wS/04zCs4hgT3IhIhhhybRVH7+ViUGoE7Of9UQkKSjiIpFWZla5tO5nairtAHzwPhEfRGCt+UQYcCyqFFeY3vlwK/RB00y4MWeWzO8IlgPLItX+bYJIp3TBTP15QO2lQG7Z6t+34rpj3rWQ2mzkUsMnBny8YBnhqmeJtNJcbzOZ6gz/RJ7ud2I2CHdmnvuPJ2Qiggps9UUZeSJPRNxEJlkPaoa5XwurR1IfOl+du0S4FRHsU9VcCu85mWFQIi9gTnXEB69PyiqDx9wqJoELAUwvlMlRbo8b2gUDgp7FrbX1Q45n7uckhd0sqvQQEM+qxsyyUQUo8vcO4+DoN/JNsmee3IdtB4jqYn6KCKRVvN0i1XhDGeSqld5lb1wXT2du7YjnJnY2OEw6Njni+AcrWhK7r9zrJGdK1lLWtZy1rWspa1rGUta1nLWtaylrWs5dtCvoURXRpHh5Ys/e74Mp66uQkAePP1e9g4HgMARgwmTkuDcEDC9yBEE3gGWSzuWBTKZdbUlkqjYOQ+yUI49shYaMzmNrrYWwYIWPNtHLdDBfRZi73UynPeZKH0RM8No49ZHEA09rtpKDzqBjUwZkYrdJHQKETBLM7nlzkeSe196uEGgumb9vUlS+KuThY+/yxNi6yqhM2KAUDKa/ivJ2Og6dZwW1GqJjk9PEGh0QZb2zbTki+XCF3rVBjM5i3hqSPk9QinMIIgUVwYxYjYDrysKp/FLniONE2htCO+jnwm5ejoCDdu2gj8W2+8+sD1/ruKgfHtlu/evw0AWMyv4vq1LQDArdfv4fjIIsrY7R7z0kD27G8GcYScLaxLUyG/a/Xp4o5rCqDRkI8h6UV+roUwmMysPm2XBpKZgarPSD4EMuphbhRq8or0w8DrUcPxzlKJiAnlNAAEudlMbTBe2Ah/4Ek1WzTBXaUwzO0P3ygLW/cP4JjohM0rl9FMbM3/QgYoOdf9nRjVPVvTnjFr/D8VhScLFELCuHkPo5aPhvoYxUmHz6SLxjKnskKn+EiAUwiwLqrHUwg/+Jvu+57o95xaGwgARmM2s5wA41mBRx7aBAC8/vo9TA5sVqLP+8gLgzmf7yiK0OgWTXVyz+rSFeqSUho1meLTUQRBvTPQOCEvYbaUCEgkXmf2nmca6DGDlJsGLr15MYsw5u8cKeQgAZSmbZMaBBJikSscT2lDHEdcACjq4j3dQE7t9R41GgHHe2xaQlyXTYrQZoYqABGzlH0+h38710DlmHtCtDTXboDtEVf/4hRPRHA2COvMBLbAauOCM071To0NzjHDHQQBNre2MJ2M8eYtiwCoHt72tun11/cwo23qu7VuqZCSsCaJApR8LhqtMd7jWrdj1zqlNDTXr/4g9rbJGI2TmdWLrdIg7juEJ9c6I5DSltdCoyrIbxVKb0sdvmXUT1C5zF0gILlCqRo4pm0S1Mc4lCiYybu/WOLmhrW4txcFPvHH/yQA4ML3f5891mc/D/E3/5Z9XVV+Shop/dpZkBvo705KXL60CQC4c+dtjyKu6gZ9kpAfH1vOQRnEEKLltulmHR2Ky0DCndBxe1nd86uvJ5hv6noV3Qr+1PPnnNKlFc6l8xCDGXmUjmclnnrU6tJbb93HkFxCKa9tVhj0hnxmwwCGnH+lqnC8Z7PF13atLtWN9ij0nWEIUJd0ABxO7TxnS4WQaIo6pX1oDFKiHxppUDmEWRigckg46kcaA8bBACV8i3apBQ7pm8Uc634Weds01grJLOf5lG+qonc3AQDD2qAgaibQLa9WLrz75/md/s4kh/EIG41V++OHuH2jQ7wrRVeXeBuB9AjDlghadJYr6Qn2V5ClHRRYU5+NAhQ4Tz2yZ6jKEkVo9WYyXuD69dY27dE29Xipx7lCb0TbFAb+2ap0hWPapqu7bFjSKNS0TdvDyE+EkgYnM6dPjdenhvp00hhktE1Lo1ARkdULhOfYdVw6QSggtT3Hsmz8YzeIYoyJ+msfaen9rkoKXNq0Pvf9N99ExuqES32LpunNl5hHbn8Q4B/+2q8CAOaLJS7T9kyI3P/vb02gGqubL331rkcxLpc5qgfmtfWVwihBTFTkcj7vrIa61SMPptArbtWAvLpVVfrf1Y6M/h0RXqeRzOchBvOFRbQdz6/isYc3AQCvv7GH2XgMAKB7jHGhsEsbE0eBR5432njbtLvlUOHao7V2Bq3fJGLgPhswBfMKCRH0xvlNSiCh31RDoyJaJpaiXeccSj0FJG1TPwMKPntCCb/OOZzLoBd7PrhcN4gnVn8muuW4XGg7h/20548VGPjmFqUQCHkNQ/79u6WAqRyf6SmkKF9e4Jp4cHC4Yq6mtP1RFKGuu7pwxpx3UKOu0dS5q8Y3KqbB4ZFtIvbG4Qg3b3bs0qFd6zMOylFh0KddiqIQxvHg6RJHd+2e5wL529AoNMrO5PYw9LokI1stBth1rscKMlCXFnWrS43RqNjkLg3FAz5THEuERHf1M4Hc7VUa4Hi+ypUtpEDuGukpjWhmdWncaAR86Kc8cmLac/Rl4P2ZOQy2tVtL7XH/z0djFI3zwVvfZ2WaufdzvJntdbm9Vefbom061Ror00EmG4T0A5RWHv0+m1m9XCwkIiJVHW/q6sG+tnzrBrpEYOs0ALxSGjRffBMAcKEfo6Qi5zENRALvcFSqDbIMBwkkIYsgfBCVxjVCAaelQp8Ku8gVLmxap67XzzyE/m1uCJpZhQFhjpeHGe5wk6pD6aH3jiTR1AJbhGpPlYImCayCwcamfaCWJKOTykCy3E3mNfpXbHlB8lufxwcTu2CpqV2U56H0UHslBObakU4a39noJ429hsLUMM4ROgUpdURvWUYntq58B58gCDyx/Wy+RKtooiXrJTQ6SSJPiDccjVAQPx1FkQ+idTswuIc3y1I0imR92uCY83l+YmyMhaUMn8trXPuCJSzezCKUDE6UbJth+sZDPWeq8oHMrBcjGrmuR44wXmOThiiXBhkX02KhcYnQ691hH5LG4RYXxXpaen3aGiR4e2aDkiKUnmQzcmWQlcZ2n1286gYNiQ7DIPAGt2CgLFAGgSM3n1cYbNsF4KF7h3iOZPuCm7S7e3veVmkJlK7c9vbSb0j/JRe6/dkUsrNRdj9smsY7+Np3+2mwQuhsOg7dGZuEjorBB7Q6hL1SypZYdWWz4X6oOxvW83T+242x06UvzCosnrdBikEaoqTzr1ltnA1CRByLus5BxDOG/RgxbZPgm7rW2OY8FoXwupQvNa7s2LnrZwmEs03c/OlpiR5LaneHGY5P7EZXBRLZ0OpgEzoHu8EGoftzozHhwikhAJZxa0eqXdQIYlfCVGPAudmREs/Sdsy4OM0B3zGyEAKVajf9rrPZT7MEe14sADXlmKqOHnQCoW6B1E3n8y65pcYKYPms9fDrdc7e8XvdLqHvvYRhgK2tTWilsFjauXy+ULj4pTcAAIM0woK2SdE2RUMJaRxhcQ1NmzzsxQhpm9C1TUzIzHKNQY+2Ite4sm0DQBdGfchT+lRPSwyHdl43BzFem9igbhAFkNzgRUz6lNpgo283HFceexwvftWWCyx1jstbdq2bLO3zn2h01tsZnrr5sL32MIL+H/8nAMC//dG/au89z6Gpey9XyzaZEAaI2TX4n59YO/jynbvoj21gPooi9Aa2NF9rA9+7irpnjPEkq6qpVyD5nmy+E5DvlvTHLK+M4xhDNlvZu3Mb4lRQdqWErVuO2/nO+YmB5DlfKgyar9jNwGYvQs5SKckSZdkTCJ2dVhU09WBjGCPYYBmsK1WFwrZrTBEYDId2zmfzys/zsJd52/QWgxX1rMRwxHWul+CVqdWlMAo8qXYY06GuNDYZIJipENoT+mqMhq6BDjeY2ngdVEoj4T1flhLP9qxuz0gefQ/wQZVctvOsNdCjnfrX1I9FMwO02wC8w7P/DvZC+zKOtgGBUhpKsamQC/h1ymBNdx08SzeMWS0V8e/rlTKT917sdRmjMWeJzBdnNfZpm/ppiCX9NkGz0x+GCPi8aVVBc/xGgwTRBjtQO9sEjV0mO6e5xoA2ZLGocXHDvh71Ul8u5GyTmrV+0+4w8U18gqgt6XOVZKEC5izv27l+DXMSUtfGoD8gJYnriFbWMLQ383GB6sh+9wNpHx9h98j77PxXpjFmvI9hKNDjvOzP5yip378S8H7qJYRZ8p4VbBoISJLUb/Z0x0d2zTOiOPbUImmW+ZkuitwTObvg1SIvvW994cIFZOzolyQJXn31dXz9YnDu9olk9F88ybGYjQEAgyxETr8pTOy4pgOBih2WmqbxAaetUYwhy6pjrglVpbFB2zReGqSkaZjPG1zatLZg2EvRUJeO8tY2JTzWoBfhkMlLEUhPTh66c5QaI9fES8QouCZqAFuj1F8HwByA29SrGn3agg0p8HRG20Qf/0gADT9fSgPjGqkp4ztC/kJsfzOfTQE2x7Al1c7etMPr7GOaJD6gZYzxtknXZyUVsdIEoY3Cd776rmohTn3pPG2TDdAJacf9qyrG1NmlLETBEjjH+LM1DKx/C9tIq6YubQxibNCWuLLmutIYVa1dSvgsLRcNLm7Y9f/KZt+DNg7cfm5eISNN0rAXY5/6YQKByDVN4BrUVBoD7tFKLbFwez8hEbkmZ667opRwfYIXZYkeX29LiQ9wnct5/JkUvglULrSfjf1a4eHYrtF/n275uM6huS8TkLRNgM0wdcnk+Z48Yw0SgacosUlD5d/3v+90snbrnm2YQX3Uyv81jrQf5tTa9u66tC5dXMta1rKWtaxlLWtZy1rWspa1rGUta1nLt4WcK6JLCPFDAP4GLGrz7xhj/vo7fO9/CeCnAHzcGPPZdz+yLR3okQTyyWKJgCiiuGqwzxqzTd7eLLQRVwCQcYChdOgujYbtOhU/11GIW4wyqkkNRI7EXWCpLCKpzGskkY0W37s94T1IKKItImFgXMvwRkP27DkCnisNYsyqllRyY0BURdl4dBBIXF+4cgcA18UWniQEv97cwitHNoP0A088ab9bFHhlaZEQgVboM5KrGgXFLPU/YNY2kJZ0GGhhibwRBCSvc0RwjVJwHYvzRY7Kty/WHXis/48n383zJR5+9HEAwPjkGAf37/vTOCLNkJkCAWDmI9eihSlWLZrs/MSWCvSGFt30ZF6gZujblDVuD+zrXerTOBJYOqLLKETIUsFaaVTMvjVEKaggwIGDSk8aNNS9RkgowpPHpULGDN8+9SkQEnAoLKHhgM9GaUQsIZLUpwgB9lmClhqBUd9G58uy8TM7IkqnUsoT32/GMbIjm1nYiBN8dWlff2dm0QhlIHDE4HtgjG8WUCvtCe//CUsbo6iFwiZx6AlUleqQVFICKXy20s68bF96eKvuJAd8oUd7ENGiabTqon66JYzdjNZZhJznINJCxgd9a4Se0VWL5K1r3Cf2/gLT3EUksZyyyUUao+GXG21QUle0g77HIfaYIUkmJRSRXjUEco53LUqkJHK/T10KRQBXt5GEAppjFGiDSrhyasKqVYQpM1aplNgcUJeqBg3HM3VIuiTwMzNUyhNZpnGMV9mY4Jn+BgBgFgD3aTYCbSCI/JG1QsHXP3XgYPe6g8xrM0RCBh2V6MDyV8pSzQOvZRB6Et/2YN1/nM40nkpPriD4u58bTxR6HsCuoijxyiuvot/vIUztOD60WECzfFU3De737X1tEam7CIEpIfRxECAmUq/RGiXXJEF9knGI+64xy7iC4b00kOixGchJrpCdWusCSDgWaNkhMjVKQ5I0moBGxIgw5aM+ODrAZZZOzI+OsEtEaiLsucZlBU0UztXdi+h/1ZaqLwCA5TZPjO1aMA8FTnbsM7Y1SHF0YFEVmzcfwpho4Z967Q4A4KMf/whefOF5AMBsVuAHf/D3AgA+8Mwz+Bf/+t/YaxvadXE+m2M6tfcJgVXk6QoxfQu5BwARBN4Gzeczj0YApCf9DUKSiqsGzigIyI6Kd6H85yUCcWr9pmdQQ3OdC6FxlNkL2WDpch0JTCYs1wkkotCVmrUlr8Xc2aYIe7QlmJYQ/G5pBPKaqPe8RsIx8LokBEDUdyANQtE2yBG0lUFs/2ZhjFlBAlwjMBo626S8+R+xOUCltKdQ2IbAFdq8QRLh9YX1M94/sM/UJABOnG0yxmfWw1rjmJn8nxq79ukdNLI5ZVNOmY1OxRBWjIiQZwIg2jLYrg68AwpipWnGGQcT4sy333MREls7tlHGTVVC6xbhd8J6T+eHl9Jg3NEnZ5tqrVA5ZCD9JhmFuOPKeyeVL9kqIJA3rT71IpJI3x7by4GAoT7JwFg/Cha9JVLnn3B854BgA6XF4YFHtG5fvoJoZn3rV+5bn0gFgffNtzQQsYyt6md4gQ0kvkfY3395tsDWyOpmtsyxKOy6VpQF6p61pT+X22vIshjF0t5PfzDAgro5n0/R1K7sn+uYlHj66acBAPsHB8iX9riPP/4EXnjhRX5X+NJFhxpMosD79IeHR7hw0ZZd5kWFHu3qcm7P+0BvoBXUznlqlF1XU1KzPBUoGKLjjVAYZ0TZsDywDAwmYzs+/ShA7MrRGw1BezGjbRJRiDuuzHnaoOlQupSK9CxljYRNH/bvcg8lJAauLEsYSK6x0BoyXd3TBQgx53xtRBF2Nuy4FmXtS8hGRJKVSrltJTaPNa7SNmVxjFuc//f1rQ8+DQXu8n4CBRjaI2k07tG+/RSRy9AKq4j2Fgnq1qucKEBXXQNYlN/B4WFnLrolFEQ0qo6D00GYuhJ9ix40pz53xwB1Rzzw9vmJQX/LNsx6JB971FMFhSK19+LsUiWBkwl93ihELFpqGKdLJSu3RBxhz5WlTmv0eLZGSFTUpXGukdJnun+HuiRla5eE8Qgy1WiYnp1TVrAjFhFyfldoYGNIZFbRNtRIXLm7UgjoR+1OSmzwmeklMV6mLn3I6xJwkHLvqAUOOF+PRDH2aIv/u0N7vcYYj660NDSr/o593/4VXVoPg5X1a2X9O+3brPhW7ZftnpFf8Q2AjEd5CRGc8vPf3fk+t0CXECIA8GMAfhDAbQCfEUL8jDHmhVPfGwL4swB+8xs6gQGWM1vPHYZbreIEEtuEiBoqw+W5wdscOJUIX7cfSeEDXG7TaIyGIJw5GyZYsDvGdH8GuWmdqNFu5rs0Xrpunca7d06wdWUTAKDr0ncxS0PAkM9LLe2x5nGDmEZqZ6OP+6zRfvjSFpaE5xExjebOFPXATnaWSsyef9PeMyRibkJfL9jtDg2yS3YjUd25j4KzK8IAOQ3VM5v2Gl9YzlCwM5R1ttu62pSdJMcsqYQxqF17GyE8Z0bXkwqCwP/OGVMhBG69ba83ipJW0Y2GZjDRdY8wHUPY7/exWOb4nZbF1OoT5I6fnzCSuMKhqfm4XJ1rvOGCDIlARahzGgrfTcU5ywUMQg5UsJGACGrM9yeQhOtfvtKHZie0y9dafRpdso64Kktf/tqLAen44dhVqgk00ozGMoh87X6YJh6GmzJwqt4+RkAodXohRLxvjWEgBPoOTs9rPwmEn7INbbDg6wpASh14kmVA+70YCTep9+/f9wujNVAdiCtOwZ+7GwADtFxI3UXxNP/Wqd+5fwLwm1Eh289F0DGG5wy/FxIwCrOJ3WTLhx6HbxASBNhiwGlEx/PhicYtOiFVKoCcX5YGtQtIuOqhptNxs5d6XZrcm8DQNm3vpLZVK4Ar1KXDexMML9h5qqrCBymjBIioS7kL9AcSEcsDoiRFxM1XkCaoGcCueUHycG5JvQBk17eQMGAXGKDm83FMG3QQ2JIQAOhrg5L3FIYSkmPy6Mi6DS9OZm1gynSXyrPmTqANQHTLYdvyMq3ffSH8/7H3p9GSLdd5IPZFnDGnm3equepVvQEP8yMAziAlEiQlUaRMySabGt3L3WrTbS/1cstL3eq1ZHtZQ6tb6lZrpG1yUaK1RIu0Wi1L7CZIkSBBzBMJ4AEPeHh4U81Vt+6Uc54pIvwjvohzMm/We49AXchg5/5RNyvz5DknI/bZsWPvb38bK9Tu5HX4yiUxjIbkYn0ajG9CCJYvbuM+uwNKcQ3KOVpCoEcdSGibzo0N7rnutalAxfKsMBJQ5ONzVbyVUnSOgbiXgGYMo/0hDEvT0iSqbdNFmwi4d/cYG+esPqHMPGdjGBkIOl0Vu3FmYYk+A5lXOsCU99Pd6mLOOd7YZrnO7SEq2oggKdHihq0MJOZ3BwCACR3926FBSfj/cDQGmzVi/9ZNBF0bAPuuN78JAPDc/Qe4dNl2zh2Px/jYRz8GADizs4Mz5J58/svWLanKDJsb1u4eDwZ+roWUvluZEE2d4vMoBIwP3tdN85qaoXznQgNnCxfKGGFOBk8etRiNbG43NYHoQ7slWUhs8dIx6OeMDfZcUDsVyNm5MI4ECgYknGlWpoJxXd46KeaV/WD/3hCqb+d/ZydFzDXrIv2m27eP0OM6B1UgZmlGGMISTgIQpBwKWgI9JuxkGENxYykT6ZNNrttddmcIkFsuON9HzACL0gC4zh3QuX8QGt9ZqqcMCn8ugQ5t0zWWRj5/OH/4HFEHu+R9m0ynWEi2fI2bOxdMj0OJvFxx7YWlVPg3TzUuAeNt8+DQcpu2H3sLJo4ICxIdOrERN0y7E4MHruQ3BUragjgSqOauhMX+UUrB0D6knQRzBmSP7o+gWeq6u50CjD+eOW9t04P7A+83QRW+jC+MAeE6N9I2IRZoO/ttBIa8n+LgAKUrH+3buUz2J5Ckh1BnInzHxccBAPcOjnBM32KfLUVvliUu8rnIshy3+XorCHyp5Nuv2uDg8/cAwwR6p93CDu3R3bt30OqQOoQliAYGX/zSl+ythxFCR2mgKl/ik6YtOJ1zPKhlUfgukRv9Dcy4AW61O57fLWZH3bwRAAEpPb4xYh+QbG598Ha8g5kLDCBAwteulLo/Npg5AtFUoCTnURJLlDMGw51tg4agLiXtFCWN3vHeEIa6tL0Vo5pzT3dxEwBw984AHfL4mTL3tikIAUEaGrfOqdAg8rodIeD9bqUJcq4LEf2u4s4AhjQQ0dk+gonjIgR0YPd0h5GzTUDB52xDKeRcvEMpsMHn6zGW8r6wP0FNA7La2NRNW6U/otvtYn9/f8XBDytTrHlCFvJ/S9eUouZlbf6LJn/YKcrk4GUAQHT1aVTaJXQEYtqoiD7T5tTgmN8xicAsc91KpbdLAfeDymhvl5JOipJtpAf7YxjSOXRbtS6dJ2fh3dvHaJ3ZBABUZQ5B/z+NDIQrsefaWIYaEYPxoYyg+exGG23k9CEcEETfG0Kws6Pa6SEZ1jyP7dDaj2Pu5/YSCcZnEVQaks/PTBic4Zh8y3kbP/jAq1MY4+IDgHBBZ4iarqGZoFtI1rmXTfqQ5gJoGp/XyZ8F8T62/W8U1eAJGNWIJbg7fG05zfThdwB4yRjzijGmAPBLAP74iuP+OoC/BSBb8dla1rKWtaxlLWtZy1rWspa1rGUta1nLWtbyhuQ0SxcvAbjV+P9tAN/ZPEAI8R4AV4wxvyKE+M8ediIhxE8B+Kn6ncVo8E8f9/Eftm1EuhUKjF1mjeHL26GCsclfJHkABxYIsgrHkkgGdioLtMHuWZsRMoXGtLJRxO64gHQRfUTIiWoYDi3yqL/ThutpoIXxXcdUZhARpSIYVVbzHLkjHh3O0eXPefHBGN0WS8xSR+oLbOzZa+RJhHHiYOCAYhr76oGNR9/rxRhlNgrbDYARI8FtAJJZ96+6bnCDwwVkQnNsMyK5XKmaUsoTpRo0M9Pw0V1VVZhNZ2iKMdrHWguTNxCtcinSDzSRGaeN5nqoPjFq/Y/mZ/BT0nb0bMkAc4d6ILLuXqIRHpPkuQow5w+LZxqDiEgmRveDUmBzw2YFAw1MWMYhZxXaRMNIEaHgWA9ZmtPdTFAqZs2FBhH2KGZAa0mfdFWi4ve7lcSUGSSlpc8cHLusYBKgt2fnaR4ITFx5a1CXoVx2mcB2hE3qeQbgHrOcLW2g+L2XKhuf7osYN29ZFJMqc6QkDS7LypcpLqAXHCpIwIfttak7XhmjTkJbF2S5xMynqk6+t4AEcpmFR5NROqFLRtsyC8K4/vHRFv5k6z4AoAVgljObxLKcrCtQHRJWnwufvUtygymRBYKNK5BrbG9t2mMrgzlLJtJJ6bPVEBFyjtvw2M5z0k8axLaW7BIAyhLYIqrBlTMWeYGSY9ipBCpXVaolQiJknX710hAByw3zUGIUO0JnQLJ87jGiQGad0GdVCikwI+SlpY0nB/7y0TGHcPaQjN+KrFATuYfmx004tXlI0qdxLvGQ9/1/nY0w/tRx2vLl3Y9KmvoUBAG2t7YxGAyQMOP+z8Q1/PHqKwCApCU9OiHv23s+6AHqgCjZXNQE2KMSM8LwBbPYKIDtLaJGK42Mz3c6LRG7DlQywhzONll96m6l0DxWA74sNivrTkaukbBQBQqq7+HBFD3awt1+H/tsivCgtDok2hF6Yza8UBX2iYYKIoERy4ou5yw/2oww5NjPxwB43l4F7HCB/8CzlgXBdoNl2dH2rn8Wfv7nfx6XSXi/vb3De9zDMTtQNe1EEIRok2JgPp14slm//qnKN3GRQQjj+xstN0hYPO+iTgssIhS/Pjlhm4QgutVe+x/vtfEntwYAgFAIKKJJ533anU2Das8tPAKVW3cmFWac4IC2yRTA9hmbvRbKYMZ1LpnkMCyXMDJCRoMyYLlNdzu1LTgBlEZD8HKzEui60m2HiM0KVFw3+lpiTD+kKgER2fvIQ4dADSGP7D2UUuLYdTAOgJDorsdIAp91Aw8kziQw5euOUjCc3+c94kHjYfPjfKRyFaHz7xXN1SjN8Bn05dLsE99pZNCFeOTlQSv1CfCUBT9zvIkfj62NaAsJRWQE2Llz0jeo9kku3LBNxahE4XobsGGGLgx2djbtm8r40vxoWmLKpe78+T7GRC9P2TRlY7uFKbs/p4GApPJkc4GWmzfeljQlKiLFOiZEyaErsxwV0cEHJI/fCiQ22D203W7hq1P7fnsrhWRjhQPXDcxofJmUDhsywMVNi34VowkG9LWf/tZ3AwDu/PZvYTKy6+qDvT1fbitk4FHxvZ4tgzs+HuD8+XMAgDNnzuLw0CIzx5MJzuxaJEaWZb5So8OyxMl4hHabRNkXLuDePevbJkmCs2ft+dx7/AH8uwpB/2iU6qQuNREawM/cTvHvbXNvJUNUbmhJI1LtChRc50Qlkbv9xDiHcmPIigmdG/S5zgkN5NzThZMciuj1SsaecH1wbK/b3kqhne8KQLrmd1rAVb8GjiqjqlA6qPQs96jpokLtN7GKJWjHCNjtUQuBYVwjayI2FrvizG4v8s/JXErM4FDx2jdueOE+yw5Ns3TRYKGRiutEnNV7KzfLr16/jn7fjs9wOKzPscrGLEhNYh+F4ZLdW7KSC6XWjxbNdXI/tyg/d7iLH09vAgDSNEBGmyEISo/6AuU+aVAq20AHAPJB5qmLRI+oqVyjz+cZGijoB8lJDskOsErGqKgXx0fWLrW2UtvcBnZ0Q85NlQvQLfNVaagqFHweWkpiRr+iLAxi7uPnbqyTEPGI5bdCYOBqYuMAJdfYi3RFqijClPPQjUPMGR94QobYJirst1+8zt+W+8Yxzf2TgPBVAIuVOA0fpnaVF8sa3esF9FdQf6/5xaX9WVUWWLBLv0cd+nfWdVHYKMt/B+B/83rHGmN+FsDP8nvfMDDtWn5/ylqf1vKoZFGX5FqX1vJ1SVOf4jhe69NavmZZ26a1PEpZ69NaHpWsdWktj0rWurSW15PTDHTdAXCl8f/LfM9JD8A7APw2M1bnAfyyEOLHXo+Q3sb+jK9HvhYYhMwq7x9m6J212d8Zo6ZFpny0vVsYz+fRG+fo7dpMR8i67TEqKL7W7QST2xZlEO+20N6yWeOzuz1kjkSL3EgaAQQzOtOshKNNbkUSGSOjEUO3phSe40gHwIgE84912wgYqZySMGU+bxAelyW0IyPUGpot5VVl32srA8W4jRESLdbmBpXCpzl2BZE9UsoTSC43ugV/R+R4nZTyrZnt9+vo/AJwAssR22bwdrGO1x1b1/42WoYafbJm9xRFCLHAlXipKBARQnV0XGL7nEUnzRzibKIQ+mYDxpM49+cF0LI19rJ0+lTCMGtYxjEmRK3InRQpCUvP7vSQuzbWTBVVIkBAxMJ4VsJwXtuBQMZMdptt4EMloEmaWUmD3BH2QmDGGvPKkXUOc6TkktBaALEjgFJIyEEhctaHA5hTT0Nh0GLUPoLBF/n+BWYYX3zxRYRhjfqTkrx0qmgguRzHTY3ogwx8i6z+BAABAABJREFUJk2XpW9SoIXwtfCrs+LN/+jlD+17/rJNlMSjQ3O9plAnLqkZImZmDwYVLp21c14x01yOlc8gJcqgIsJqa1JA79hjBXVpKjQIQoBOEoz3SXS5k6BFfqszOz3fEt2dS4kAkhmgWUOXpBDQ1CVJJGIkJCS/r2Ewm9oLBlLCwy0o81GJVukaAmhPJC6UgmIGrMrsewkAl+8zEkgc35HWeNY4ZClTT8ZgZfMAIRsGp4mCaWaNVmQOhayPaYA3vza6ZuGv4ezkaYnWGrP5DDvb23jyiScAAPmrE8+bdnxU4Tx1pKQOTUcKpHpAVCkUjmNvWkAkVkckF8BMKG+bRJJiRiRTuJ0g6Vqbd3ani4wIwHO0TSUkQITFfFaAU4mNQCJ3XDG0TVpJlORSmsoKkrxavbgFSdSEJGmBGWQIefMbkcTuM5Z4OVAa5ngAABgc2gypvHwOl4lcODweYZut3c/MJ/ioQydyrUvT2CPikjTBn/uzfx4A8KEP/TY+8xnramxsWF4vRwBtb6iRWdQVytyu00ZXNUmq4+USAjHXyyJvsDCIECc4nRqNNISQvnnL6YoBdMkMqp2bx2SFFp/1g+Mcl7fIQcS1ZDQwmPHnJ4VCSW+xM87R3aEu0TbNUaLiuhIk9ToX7qTocp07t91DRntxlrqkEACcx/m8QEVd2gwlKiIgWtQlKHi+kkJozOeO2DxAxWexKsiDM8ywUbg1RqHk9YzWyHv0D7nOBYB/TkIDpPQlY23wXJxy/JqcbCfthmigJvKvEeXpeGC00l5n4qSNnHpcFMu6CSwgAmWDpLfBUfiNkitGI2ADnYOjChd37NhpjudwqP1aF1YKBdenzrRAsmN9a7fWZShBwDJEnGB6ZBFS4VaMnU2LVHrrlR0cju1YG8eZZCQ6XOsO5jNvmzaj2jZ1iDDUSkI6OLECKt57CYUpdSfkx/k0A9URs3YX73yXtU1f+MhHPWLHcH76gcQW7U0mJW4TIf9kpbDf2wRgUZ+ARVvlmUVeODQXQKSoQ3fTtqVpgv0HDwAAURR5BM14NMIuEV2HR4cw9C0K2qid3R20WnZ8p9Op5/za2tzE7Tt2S7bRs/bv6OgIi4jm5XX2FH2nhr29hAySPFdHRzm2N+lP8vk/PNYwtPPhvETF+EZnXKCkbQq5PM+hPHWVSSKMjgYAALmdou38pu0ucq5zu6GzTRKCz/Isq9e5biC8Lrk9naoEjOOnk8CMnGFhoCCFQ4XZY+fDDBu8lpYCBfd0Rmvk5M+dZfTtDdAix2VWlOg4ejml8awjb3Uk3Y0mPmbp+V/2we0ey74Mw9j77lcfu4IbN2+ilofbEAGgqho+m+Moc58LAe2er0blxiOHmp64MYcqste7LJVvnnN4rHBmm0g/6tdwaFC4+yw16BKhPS6gd+1zE1F/5tAwbpGKI0yISg82E8TcP1mfyZ571zcDqn2mSVag4r53I5TIaVh8fKCxn4M03n9SBshcgwoiobJxjpRToCRQshKsVAogr+Sc7kigtefOzRUQcj62IfBB6qvjvTQSNdpqGWHlSeEb6GE/t3UlzuLyY+Bhju5cMlxCZjWRhIvHGgMfrxBNf/4N6tJpBro+A+BNQojHYQNcfwrAn3EfGmOGAHbd/4UQvw3gL72xrov8Dn/kh65/Bj/0pscBAEFlIIp64wgABhIVg0LFqPCEmWkkUdBwKs5pJxQwfOjLbI6Q3fWefu/jaDGodWdvjA2WGPZI5txvd/GVGwN73lCg4D1kqNDifXLvj6rS0DTMR3mFB+y6spG0UB5aoshzLAmIQuNh1KEKoVr2XLPjEczEanDBrgqAwQavVQVAdPUqAGB++47H/08mdBgIgbT3UyFm95osq2G3boHN5xlClsAJGWDOjmonldQFp1YE0JrwRiMgoBY+F8vlHB52+40LeDn56Kufwv/iabuxTAoFQwh+l06YFCEqO1yoxiUK6tM4kij5WtLpb0cSmhugqswQswXZk991Dd2OVYi9e0O0WMbY7dlj++0unnvFLjhJLJHlLpAFpNychDSMswZBbaYNjtmBsa0FFEkRk5SBBwBZYq9h8gqVI83PClT8XpHaxV9DoOUgz0Yjdgt1KNFh4PPb3/0tAIDj42McHlonrN3pLnTLqMUZLb1gBR08XAbSk6pKGfig7fL3a2k4YU3obH1mfm2J9NCs3qw8CpFSsBTPnv9Te1/CH7x2CQAQVRpzBiHPGDsHE0goAneqrETOBXkQS1QMkLknII0lDOdOlxnMsX3+3/TeJ9Cmbbp3b4g2gxRtQvc3W108/6rVpXYsMWeJUq8ToHRkm7QrVaXg/O3KAILz19bA/sAGKXa7dvGfAdBsuhEXCmDDBDUsIKbUpZbVpcIAPdfVTwDO+hRRgA4XxoDlUOqEP+1syKqA5qqoOqVpO5bWxYcvj8vO/dJ7onlzp+uwKaUxHo0xn81xwK6C8yzD91y23YTiUqN0jVOmnD8BaNomNa8wpR0N4sBvgEI6anEkoTlnuioAEpm++b1P4AxLiO7eGSDtWH0K+N65VgcvvHrDXjcOoGb2HvIAaNNhdM08xoWC6zG3Ny/xKjcnf/g734HyWUus/CM/+H0AgFdv3EZvcwsAkGyeQYu/bRy18BRJpS8XdlP46V/7Ddz6yiv29wQSbGyMg8ev4PLOWQCAuG4/b7d7KEr7rGz0evjv/8Uv2d9s4NeZ4eD45AQ0/LeqqjzyPk5afpPpNi/a1HPhv8wjTq5hpvFK+qC4129T4dGLWAhyAcCn9r+CH+pdBmCf34z2psvoVhEIRC6ZllWYuuReEvoNTECHPIkCSNomqByaZV5ve+8TaJNC4u7dIVJ2nYv77HCXtPHV69Y2tWIJQ9tURcZ3tIodaa5SCAJ73VIDI5ZFd4VEyWYarguY1kBG3RaFguZ6ZSZzRBNrm1TLrXNAl1ZWAyAPNGZR4BuBvN56IUXdoMB3Ilsq5Xk98U1+RO1L7exs4/79Pb4tfXmsl4XWjg3b9A3xmxaDHx+98Rl85+OWZD0ojfeL2iwVmksBPsao5hVG3OyrOEDk6lOp+q0ogDvYmAIlS+Hf+d4n0Ga52e/efIBWZ1GfzkYtvHjD6lMnDjB3tinSaLn9KTd7o1KDTTqhcuCYfnikgE0R+V8IAEEY+TL+9GiAj3zikwCAjaxEyeZLss0mBKZC29QJ6bPUgz0pIRnA/KVf/AX7O1tJTbIMNPyY0Cf99vetXyWlRMKGT8PBEFukMZhOZ5hyNxtFMZTXQ27olcLWpg1k3bx1z5ebDYYD7OzYku2h654dxywTArseNnTSNDegj1iWHq/P7H8F792wOImwVCjZCTalLuVSwMR8nZeYcD9VRQECF+hjxCKNJMBgkdAVFHXp7e99HB3q0r17QySk23BB/E6Y4PlX7DqXhBKaPngeGiQuMM6/Mxhvm7JSYX/CMn9I9Lh/S2gXhBCoaCvDUvtoajApILmnA23TZhwh4bO8kUhv82ahRDtc3G/Z+VrcV1lp7q0afrD7tqowZJJLKwXJz7R5bZsnZOBL6YIgwIzPge8SKhrXbe7/lm/vUYv3v+31PvbKp/DtT1m7JErtmBYQc50rI1HvpaYFBrSxVRIgcK/pMyVNXTIVSpYNPvPeJ7FL/+jO/SFSBrrb23Yeu2GCL718HQDQCiRK7innoUFA3U2Y8J8oDcn3ssrgaGp1oislBKkq3H4OUqBikF+UCsI1aJjlCCZ8jlm2nEuBhGNSwODNtA9HUYgpB0W7zskQ6G/2AQCj48PFfZwvM3YBL+Hn3JI21XPutU74ialllY/vzrtsZoSA4Jpor+fuodkFGQ+VU1sNjU3P/wUA/xbA8wD+hTHmS0KIvyaE+LHTuu5a1rKWtaxlLWtZy1rWspa1rGUta1nLWv7nKafK0WWMeT+A9y+99399yLHf/0bOGcgA3U4X4/EYRtaRvI8xO/SH4gDd0EZTI0L39vaPPXn8rB1gl0HzA2MQEGFxiRFSE8QoiFHNr+/jwlUb1UwjgQd7Fm01GmcIGNUcjQlB7QnMHD+cMh7ZM48FYkKkXBAWJVC2XDmSwqVdC8UuMo2ow/tkpjSIYhTMDiRB6EsXkzTB0bG9n1cTe+JLRkOSELW1u4UbBzYTVGqFXyZc17VbLou8JoQ3BlmjBMNFZGdTmz2Pkxgzth02StXssML/Y7PRDh/sCebkQubAE41rdSIqbJMOdRbcH7uyLO3RilkMOwPG4COEm/9IFKIVWj1q9W0Jxr39ARTHOWsH6M/tCY6NgWQ5xXlCkEukKInSmd7Yx9krVp9aIXBwj40BxrknA5+SK1J3hW+p3aqMJ8KcRQIJpypihr2TA3N7a5iLClssFZnvz5C7Fu3KZQISGJJKB0J4mG4ch5iM7Hxf1/bvlW7Xl0RBGE+Yn0mJX2HjgU/9y39l71dVPqCezWd1NkgIwGVHiZ4waDY6KBFGqT+Hm2uL7GqWGy6WhyxG/RslbQvkh84+LJXBLUBtH61obRYzV0LgM4Qx/2AcYYNouaRr5+jWwaCGIacSXcLtJ6GBoEG5sG0zxVqGyHOWhtzcx/nLVpfagcDhfWsLJpMCAdu5j1h2GPYlSu1g0QYxn725CRxPMALXcjkXyKhLY1GhTxLweFJik/rvS5TiGCWbJyRBAOUyPEkIQyLMA2X/bvY6UH7+DYZ8/OcQ+FVmMV3J+OJ8NcX4OXWoCaXqMjKttUctNbOYQRB6AvJamjalmXoCsJz9PG2o/etIWZWoSGQahhE+z/zU90ZAi89Oi/N0+2DoGz0UaYSU69ssMJBsu75D6L4IYlRcZw6uP/D6FMHgwT2rT4NRgT6vN55QR/rAjIYjAfxaWGqBgHrWLjlmpcCcpWdTUUGzNPHtP/q/wt3z1wAA25cfAwDMO1u49xVLtH/t6XfgwQtftt/bewnbb34HAOClu5YUfDIYoeSa1LlwFptPPw0AOEpa+PDUjtX7fuAHAQAf+8THkaYsy5YSN29ZxIfVFXs/Z89YZMPR8dDbpqLIa+SzEL78cZ7lvtzQoXiEkDCq2drd1O8v2ZqF9xaabpymnhF5s4CmFfgEdeKHWiHa0v6+Fksw7h6NERGxniUROizNmocGiuvcY1vWnokw8eb63qv7uHDFosxTYbB3364Vg1GBTaIbxmNr6II+/DoXC1GPfSW8bWpz/RSFgaIujUSFjR7Ldg/nmBGl0+E6F0YhFO1KICQq3pyOQ1SlvZ9DYxfbzkbb2y5jNI44PAWAXx+7BjtuDhdtk/NTtDaI6Vt9raWLi2LPe//ePSIjavQgL9w4tmnzVqBQT1WaZeEaX1J2/r49FGgJOx6u6c69wxFCbjnyNMJGbvUpEwZzrlVXWcIYBIn3M/defYCLl60+tYTB/Ybf5HL1kxF1pK+9PkUavplAUQnf9KnrqA+VQU69mYQaXSKh9VGGgbD3E/P3dFspNoiczyvlSx63L53Bg+dtz61jNoLqJQEGfFZaEhgT3TpVBh+hjxsnVncnkxGa8xTF9v00TTAeWZTN+QsWEV6UBS5esMiUu3fvYsjPW60WtrYsEvbpp5/Gxz/2EQDAmV37vbKscG/P2s2zZ3Zx85a93+FgiLRlf6fTsVarhRmfhZ2dHezdt410vDqdJhJnCZ34u0Rpfk838LrUYdnx/f0hIqLmdCtCj7o0C7W3Ldd2LIotDGK4tlgPru/hAte5FMbv6QbjAn3apuMH1m7s9FrIuZ6FBnBQd6WFL2XrONNdGbASGtNAY5vNUczxHDltliDiN4xCaNomISQUf7ROQig2uRoa+/lWK4Z/vrXydBTTSuDXc+fzOj+3WPRr/d7L1I3H/PDW9kFr45Fpw9FoJZIrJNrIVRkAFsVcr3+2IgOotVlK6dGF9TUXEUCnI8u2z+BLyq7j74mBmNUU3b6LDwwRKuczhegR6ZVJg8rbJat3YRD75kkHNx7g/CWrSzEM9vasXToaZuhv0O5Ql/RG2+uSMIDmOlcqAVeleIauhq4Mcu5j5qHy+zl9PEdGuLH31+MYBamPYhmg9LoUAWxGtT+xPnh7s+PHPdAaX+TcXAkD/GvuCWOi1Z546km8513PAAD++S/+fxaH0yHQvQ+kvH6JZtmheL0V6CGow6adqSHV/s3mv4B4QzbpG18Xtpa1rGUta1nLWtaylrWsZS1rWcta1rKWtZyC/Dvruvi1SpzEeOKJx/GVr76E3JMBG3z2+BgA8ENPXoIgN8N0ZCOd52WMPdbJF4lE0GF8L9fYYATT0U/ERmODaJ5gt4uAGcvjTCPpuLrp1JNVOs6rgdSeNHQsDLZ7ZJgIlY8Au6xhJYEhuQPaUYic3EhHkwpvO2szM44vw2iByEXCK10TkVcKO8wahCTJLTY3MWfWoT+bo8fWweX+Pj5727UUJnJNq4dySDj+jZDZAymAlDxT83nVCNMK1ES7EiCSpEZkKDTbXRsiNoQMoEnA50/l66rt35oo3wBoRnVPURross+yZv19j13ABuue50ds12oC3GcGSXUixB1+LdNoCZf5sO+liUCXke94p4tgy0bnB7lG3HP6lIAgBEzGA3ssKk8MOIZBr01i8khZEnnAI2QKYTAl2iJJ4MkLZ4Cv71fMMpdF5UczVgYFM5o9bXCe3EubjNjPRJ152NS6Jts1wPPUw8dJkr23dx/TiR0zGQSeNBgAPIurJ6sUnmskTRP/3LjvAhbd5QjtXdZoAQnYRBOKZgangTBE4x5EU4dqMuhTE48OBJ4b2KzhDzx+FhHfHxMJdQYh9vkcxq0YaZsIvFwhCR0Bqz1VEgExn7dwp4uYtmmYKaRu7qIELM3HmLZpEgEF9XUiDDrk46tEgaBN7jaiUSppMGNGq5tEiDmGuREImV1Rlc1SlVpgzHk0lULA50RUGhFJXis+/0cSKGibzivAzVMggM8OJxwrhwiVWER1+fSOf+2QFEmSeC6TLMuaM15/29TXW/qk/rPw8WvloZrppjpTejpi7WAcJ75hQ1UpPE805fec2/JcWBNm5M4YiSOiCeJWjHbHzm+WV0gcAbhDPEQGHZdx3ekiZIZzVhjfjn47jMGkJmbTAQDgONRQRClOZYU+uU2CUHn+C4cUNcJgOiHKJg7x9DvfBQD4Vz/z0/gTP/Wf2oPOWE6tS2cv4ZWXX7Xfqypc/q7vBQCUt+7gzod+y16bmfBBWWDj6acAAD0JjFOr/+c2Ovjs858HANy6bflVtFKYTphtjWNcunLVfv7qS54U+pCkskppr1tRFKMonI8h6vbgQbhkhwARRAj4vFZF7p9/o5sIqhWpxyXE8zL669EJM60LRK7A59kc4Id3znmes/HQ6tJZSBw7Qv9OjLTFlHOhPN+MIuIlijRS2vndcz0kRH8O5gop166dMMaUKITpZGA/DzVU4VCHwDb1TgbKIx0c0DuUwHDKtTQKMCdfzVgZpI4fcEZSXUj/MwOlUHEO4kr5JjCuQVEmDHI+R+cq4UmnpZT47PCoMX7ubz1+br4CKf0z2kodCXCjKcHXKEZIVJ6XS3sdc8j8LMsW7+0bDj5dRJA8O7DP0fdeOQNH4z+kbdoxAUa51aekEyPl2iMKhZSkR4b6JCONhH7TmfMbSDbtnB3PKqQd+3o3jDHJHPfsAADQjhQqXmMsgTMdaxdkUPl5dSuLNAIT6lMa1PxHBYCUdiHm2OfzDBt965sjO/IIqBv3D3CWCEjsnrHXPT6EJm9OXGqPxCtDiU/csuTvIiA/mVILY1gWVmfiOEZAX+jo0PIzagMknPczZ3ZxzAYdURR5kvo3P/00rj3+JAD4Biaf/szvYGPDIuK++uKLXmfTJMFwYM9xlXy+ly9fwrPPfhEAsMdzumv8Xjnn3rgQbQq5AEh8fmxt0/t2znlOT6dL2wgwpt0IgwRtIppRVOiSeE1xwmMYxLRN5y70EbDaYjRXSFsN25S5Pd2M59WonG2SwBaPDRq2yelUAHg+OBlKr4NDpXCOSFnNfWVZKQi3xzIKJW1PqjQi2s2Ie6ksEP7zfmHQ5ThMQoHP7g05Vg10C/XSNrYgYssAIXXJrXe5X9fs98+xqVScpLh3754dyqLwSPIayVXbPymER8pv75zF4MjaSteUZTbPFpCnfmof6o89Kjm53j7H5ijfc3XX+0xDxgd6CDBzCMw0Rtwj6jivEBqHenNnbqxz53uIqUuTXKFDjr7dMEGWuaqoAQDgKFCouJbOhcEW17koUAg8YpdriRCY067FEZBTb8baoMd115A8PhfS2zNTVVA8V6g04r69H+eTZVL4RnxnjUTEcegFAT5xfGjfv2B9sTAM8W/+zS+vHlK3Hrn9nACaKPFFP8eseH9pr7ZwnPtosdGCaeCZhRCen91ALDXVWy3fdIEuAQEhAwgZeIL0qizwYMSAU+cJdDZIkHfE4BYEFANTUan9ZEdtiSFLxTbdBsoIFJzIjZ0N9DrWtHR7fdy/ZUlBIxP4TgfaET+3IvS5AUmjsHZYZwoxN69uptJOgnN86/5xAUHC+/NKonxgN32CpOTVeIoNPjRzKGzR4ORlhUjaYy7wUl8aHuOdrvynUpgeWOX91bL0zlLJXYvWquFUN5TMAAmJEB2h3mw69mS+zdIsG2twCtkIajm4oa7qQJgBjKwJ8FcZo8X3mg6UOHnoIxO3ICye/C4DXcf9x7HBzWJ0zNIN1HBTFApuyQhbEpMpDVTgYM7wwcneTs/rU7+/ib0b93lM4LtwgsGvdhKgxzrGMA48OaGZVZDpIgw5TGPskEzxeKphSNi5qwNUdOQKlqDoWYWe6+gZCGzy5vOqQjWh4e9Zp+hICJzjRRINTDitnysqbPbtMbduXAdgy6vcpr8qG505BRqlF1aM0Z4otSgr31XUaN0IcAgf4PLS7LrX2BQKaNQBVfjP6wCpqM/bDJA9YhECiMIAEMJ3NgJs9ycAGHZTnKcjoxn8mhjtg+y6rFBwrGQqMWNJbCgc3FggZ+fD/k4Pm3Red/qbuH7dOiehDtByKxttUxSG2GHJczsJENHpEYVBznKMkIte2EqwRV3TpUCL3X+62uCYHa5mEec5K3GeJePTUCKmXhWlwgadiO2+1fd70gW4gK4GhlyeP6ManXkWmgc4WV2CUzCYm8jY64TW2ge9lFJer/Qb6mr3WjrRvIdFO/FGFtmvV4oi941BhABGrvNcv42QnS4DzbJ6I+ArGiqFnPcbtgPMaBcC171GAxkd2e3tLjZ6dq62t7bw4K5dO8JSInVBa+rTRhwiD6xOR1FYo8szhSB2ZaRcb9MEF7p27I5mGt/+wz9ur/HOd9d12lu2J01+4yb+wF//r+x7X3wOat+W27wwHGL26S/Y73Wtfbx+sIeIncQ6nbYncn1uVuFNT9kN3rNf+CwA4JlveQbnz1sC/1/91V9Fjx3GZBAhYs1GkrIst1LIqVu6KiClc+bq4LxAIyDlStdUVTucPAYAhGwGrxoNOlZ0xDNgQ47qdOzTKgfzaM7Sne7jOMeOTZKlDlMJkH8ZQVF38IxTiSkd8YChZWkCjLgR7vc72GYXy43NTVy/bTfqwVTUtonBpn4aoWSXyjSUviGFyCtE1CVH0t5qJXisZ+/99kihoj5vGukbIhSua/G4wA4Jf0eBRM9xnVcaLbfBIUH3nhQ4QxVva4BaiS8q01iDXtuGKK19l89qmTD+9yzCq4fnAHfX4cZSZSv8oxNymuVBwCqbeG9kgxP5xjWErsyGfvFEABkjA0GpfOIjbUnMMrfJc7YpQE592uq1sEWfpLOxgdv37YY6nAEt96wwsbKRRpgzcdyKJCIShMtSI3KdN11SO41wgcHbmwcZru3assDp3Qco6OANaNvkvIS5awM/OgywQRtaFQqSJUIRfRAVS2xxUe8ZgYI69DxCaOcjMTktRZ0skUHgbUW31/Pk3tJdq1I4OLA2Mc9zjBkIAgBFH/O3Pvhb+Jn/+/8DAPCOd7wdAPDDP/LH/Hkfe+wq7t61wbYnn3oKL7xgS8UnTARIKZAyUDuZjL1uldVpBbkashTkP5xa21R0ryGl/1rO7bjNYbwuhVXlu6AnLYmp85vg1jtgTpve76TYom3a2trE7QcDe+xUo83HNuyTjD6RmEcsCwulJw0XRYUwcn4Gv5PGOEfKh71xhYJll5ejBGB5eEG/Sc1K7NBvGkuBHveSVanRJ7l5wTXz1jzDW+kr95WBatnXXxrn0N7OnCSgD6PYByYFBDa3twEAB2xsAK0Xkiz3H1gb/Y63vw1nztpgx3AwxPPPP49Fqa8RRRFSJrmOj44a08e9z5IdPG1r9Fpyj80Wss4V7JA2qKBdqiIB5u0QlBWMdnYp8HYpcsG9Rnyg32l5Xdre3sIRmzXFU4CNNiFZXt9NA4zp7yShROj2c0XtM7mlMUoiXOQ8P5gsrnOGdCYlv1NNS2yRnmIsBbqNdW6L61zELrV7MNjhfXWVwTHtyrOz3He4Pzy0ft/BwQESBiwXm0A1QAI+/9xM9jZ9Zb0U21pcL6wb1DygsY65903zv3XQq3FgrcavseyuSxfXspa1rGUta1nLWtaylrWsZS1rWcta1vL7Qr7pEF1hGOLM7g729vY8UeytW7d92utvfPTz+J5L1wAAP7Jjf16700Yrs5HQoICtlwEwjUpPIFgR2fBEJ4VmNL0qcrSYSToeD1AwAnr77sCTZ/Yv9u17x1NURI2pqsQ209xBGPhWogSgIY4MMpcqLQ00o/uy0h6Ou9FzCJwSpSNDn84RuWCmEijnNvO6zxLGx2WEY5YgJdrA8De9Jwig1CJBqm4Q8VqpU4gVMwEtElwCwIAIJyHFahBWU5WakX0fbhUQRHcZI3x5yENbjDajv6eKmjDAaxDe/42PfgHff+VxAMCPMpucdFpICU3OlPbQ4nlYIWcGsShtZuapTgLRcfpUoNW143E8OkbBqPW9vSNMWZKzecmO+b1R5kns29ogIal8GIW+DI2JHgSh9BleVSoo6npcGAhmJlvMeJo8gyYqMM2VhzInWqBg6dmAU7kTBghcRl8bJJyHb48j/L8JedcNNI0r3QBqYkqjKt80wmUVkzT1iI80jX0JijEaMnAdG5TPENWIH2CBYLNJ+Hwiu9ws0akh3RYVxvcesaRpiqefehqT6Qz7RKNMJlN/H3/nU8/jvRcs8fYf2bTXjzptRHM7n7k2mDqEiCyRUT9mTDe9uZsiYDbKlBXaDV1SPPb2/SPMJ1b3tqhLd0YzCNqYyACtjp3gIAkx49hLtrhOIultUyuIkc2I5JyXqIjs6e1aXRrPplDU0WSWI6GBawuJgiXheyx/TiHhwKaBEWgRZfUuaXzJogzs97WqIJjZN2bJ3lAi6mo+n3mdCKMISWxRqHmee/TDglVx6MIGGesignSVXoil1ysN4KmJEMKX6QsBTCc20/23PvM8vv2MJRz+gQ6RpGmKlM9/phVmDpEUlZgt6dPT3RQR69WqsvSvB5MhKs7P/b0jTEnuu3nR6tPd8QwFGxK0tUaLqIcoiVBw/SL/LkJpUGYuzSiwd9ciD7ff+/3ApiWAB8u1k3e9B/isRWEhbiF4+i0AgPLXP4D2e94NAPj8Bz8AADgTx5izWcq3/MRPAj27BsavvIIPMBPpUHA3btzAF579vD1XUWB4fMSxNL5UekxEOFC3ro6S1K89VVVB0m8IgtCXkGVzEp4HtuzRnre2g1bNlnVkGcYv/MFarVD2RybL6Mj6Wn/zU8/hvWcsouVHN9nwodNGTKTITGtk1KUoKjHmaXLqwZPdFJqIhqooENOHun98BFVaG3Pv/gBT2qadyxZhcG809etcYGzDHQAI4gg5dSl1aFNhUOY1kqaiHieZ9mtaTISBKLQfy62s9KU7RgEl16ZD6XRY+GEJhPDlam+XEnWaeDWi09mTVpr60tbq6wV0NXLWRjXmrIF4cWg3R1Ow6hynL8sVAbVu/fVPPIf3XrRr3Q916P+2W4ipL3OtfbloEGpMeY6MzVbe1Kn1qSxLJPS9DsZDFLSF9/eGmI5J2k3bdH80Qc4JCATQpi8TxpFH3LnSpTAMkBdu3Utx/p3Wxjzzhy7i87/6awCAz+/ZxhVhZTyQYWNa+PUnqgyqsC7PBwBUGpr2oS1CFEQsPmMUzu5uAgDu3SduUEoYrlNaVWh17e/Isxxx5GgF7O/Z3t7xtr+qKkgiKZKkLm3f6G3gH/30TwMAPvvZ3wUAdLtdBCTjfuKJJ7C1afc0zz77eey6csuxPa/RGlMiqU7IycKHRySNfUKzDI8X+1uf+hK+4+xlAMAP0W+SrdTrUq40RnwMglBjRJudcf9zrZMCLaKMyhK9vp27g/EQOVFzd/eGKLinc37T3niGXLmqAYOY9iKII2SOHsDpkjQoeT+m1MhzV1YpUXL+QlbIBKWGKwnZLpVfg5LKeOoZRynSNsB9lq714xTJGVti+C615/2mVXNSFoX3zYUQ2H+w1xhXcLxrX8jt+e7evYMRUZlRnODxa1cBAK+++qodm+0tZETVySBATv+x3W57H1ws+N32lZTSI9DCMHwEqNfXEQE0m5u5QfqvP/Ecvovxge/vObuUInTURsp45LIIS4w5hjPO51OdFK4mW5eF16XxfIKMCLH790fI6TP1L23a90YTlER2BhUgnP2II49cjV3ZYWigqEtloVDSd2+X2pP7xyyjFXnpeZe2SwXR0KWxaw7A39M2NVIYgUREu7MpNRSNWzEbc/gksqzea9U6VqFJRwRYaiO9oIMn53+xeZgVKYV/3Bc9k4bPv0D7sOyHAxAG0tHz4OHyTRfoms6m+PRnfgdFWaEg71Cn08GcDqdWCh+7b53py1u2hOGteYGEZRcdDSiW/xRVhRbh1W3HDVCU6LEzmsoNRuR8kFGCJLHDtbndwREX2GvkCzgeKh+EioIIlXOEswwpIauuw0vYCjBjiRsKjTaNW9KLMNizAaVqbBe5Vhqj4m/LB2P0uEiVcQBZ2Wt0ckfiI7HLzeZYFRhwzD5c1hBCbVz5hUFAp9IaHQdHlB6uP6dBG47GvoRDKw2xVD9by5LDs8CLBLgHRDQPbZS4LZRW+HM3OE5OzXdbtVmtL/bbd6yzc+UdbwYAvK1UCNpWn1IJKD5iZZUjZQlhj108kBfY2GWtdAGMMrepj72zurHV9vq0SX06LCr/cIYyAAiVnswzpPyeg/4naYD5Mec1N0hcyVYvQHXP6lM8sWfbaiUY0zBm4zn6PXJ9BPUwX+ACMUVtwHQQQPOAT+QKMTeRw+GxvccwqhdWWUPwZdgoV20ExdwGYTbLEJIzSpkCJRd1GTRLF+tgqZ+Xhu4tlAJ5FVwKkD60vOPRSVlW2Ns/xGQ8qm9Dyrq8TQh8/IG1TY9tWtv0VFEi4uZMSoHSsDxWVSCdHjY0N2lFie42bVNZ4QF1ppO0EJETZHO7jWN2YemTO2QwLJEw4BREESrXMTTLIKlXrpxbpAFmLHct5wX6bkO7kSC4NQAAaJY4dTspxpplR6MS2+SfmwqDmHZziwv2YQSkbkEKgCnn9lM6XCj/smKWTEsTxsyAru8SWwcVqrJEh5wss9nUf5YkEXLXNXZVubZY9uCXDc2qQMWq405DrDPg7a/WKKuCn0h8Ys+WoVx+i+WruloVCMmJZJcdlk2o0nf97SomUYoCG+xypkYVplxH2nELcWyv0eu3cDSibeIaOhiVvgOVCAMYrnXTLENC2zTntCSpwGxAezMrkbHcZvK7n0T3mrWn4AYCvc2aDAMCYHewM7Mp0qffBAA4+OhH7aFhiCPq8fzOHXzmnh2H37x1D/k73gYA2NmxwZSyKqG4+RUC9aZwY8Ovcd2uLUEYTyZw81rm2eK653hZdNngq3GbBWBRp1w5Uug3pBWDRoEUPih2Uu8MTlevHuIwwuDjB3YzdGXDJnYeVxWSlrUhiRQwbP1baI02nZ0Wo9emKNEhj5IuFAYkCgyCBAn5lzZ2OjigzXK2aTQpfeLRhCEMNwDTLENK2zR1j38kar+pMkjcprAXIrxrN+c519+kFWFu+JyMCiTkK5kIIGJ28zzL3o4jIKWvIqVB7sqqS4G6/H11QMlxJlVKLTn7j0gW/CLA62bR0L+HLm2nv+Y9rLQcMPg4n8mrb7GcURdUiZh+UywFNMc0Vxptugktt9blBXqbdq0rC+XL5qWM0eJat7Hdxj65R57ouXK7Csol3IIAyvGrzudoU5/mvgu6xHzOIFIrQcCSveDxq/jWP/vvAwBe+m/+BgBApREy52cPc6Qse53HAoI+3Tl+fBxJtJ0PVZUQu7Y0u/WO96DHQL6gzo9GY7BSGFIAVWF/j9Ex2lzLnI3Ks5kvIRR5XUpdVZUPsly9uu110nWafepNT6HVsff71jc/jd/6rQ8CANrtjrdjb3qTta9fffHFunPxiXXxtKTpq63aDwCf3rc0H5c3rtm/SiGh3xQJQDsu0bJCj1kW1zFT5wX6fadLwOHQBiFkECPmerW508EtBuF7jrd0XEC7dS4IAK5zkyxDi7rkWPhacYAJSxQrZdByibhOiOienb+S+8A4jTBmkKo7ztDesNebSoFWbq93lV3Y7wYCm42N/C3ytX1yVjam5uQW/8LFC7hzx/Iy2xiDcCONxpsc67q8/vh4iJD33m6luMeumy3yT2XzDB3SrxwNBv6ERZGjx2STS542pdvpkE8QKMpyxd7xEctrnP+TtEtXenadu1iVSBzHGwRK7zNpbHhdos+U193Hy1LgmAGtdtr2HKibOy3cdsAFlugfDArfURhhCEGQzmg2Q5s6mLvAUSIxITjGKANOB+ZxiIjd1St+J24lmIBxkOEcnU07B1MY0OXHOe73jiOBFkEHsQZy3s/vZBqS65/2PBTGj6Ex2uuP/6zxRy9w6z1k3BdMSR2AXYwYNANkS2uKkL7LI4zx3XTfKK/punRxLWtZy1rWspa1rGUta1nLWtaylrWsZS2/L+SbDtFljCW5m8+mEIw+SiE94XCcJCiZOf2W8zaKL7LcZx6rSEMzmtoTFchxiNbMRtW7mzEkszGm00LGiK1IIowIN51reKLjo9GI96UQMHMZdbsWUQBAGVUjcxiQVIVEb9tmI3QcQN+0x872xjBEWYWEK46g0SeE+SgU6DiCQWXwgIi2izGJXSuDWy4gGwW4xM4dP3/jOnwU1Y8ZfEcNm32W/nOX8XaR+1a7jfsksBSQi9mXBajxchR2KQq8MvK6Aq0lGt8136BYrAA2+30AwGAwQiNE7Usu30G2STWcoc2OgLlRmJPQtGVKpEQIdjP7XncrseVXAEwnRcHMpEgjDBhpnyv4rL/r/qWhIJkhiLsdTGc2K6SFgWJZlyvNCDIg6bN5QQRMiKbp7E186aIkieEkkr4b0jwQ0K5zY1mhw6i+071LCrjNblZzadDib/5/PXgA47tm2t9mdcll42q9MJC+lMfBbrUu6lJDY6Aql60NoIhosmP2Ohlp/3EAj0hslDYuHlsT0weBgKkeVvLxtYtSCsPBMYQQiFi6J7D4iEhmi95F21TM5h5NkKkKVcvZJuVLnXuFzTb1NmLP0YhWAuFKHo3BEUt6phV8M4gjlhsboVExgxx32shIjq+FBtXVw6YxLdHdJFpvXiGhLqT3JmB1I2KWl9yBRtt14pTAPsd0UpS4RH3uurZEucKUdSQzaJ9Z+mc39iA4JkbUOiF8xqahP6rZdZPliqHwSBkAGJJ0NJDSj/vqblHLGar62mjchz3UrCitcOc4zcxk/QzU5bt1BstAQ/L99+xaHZmMqlqfjIZOqE+BBptRoZ3bFxu9GJLzY1op9MSOU95OMWRSNtMCInBrHW2T0A4uhk63i6nTJygEDslJ2xTPBNI+M+Qh8Klf+TcAgDNb59DdsWWXD27dsPdz/QbS99pOizAAblv048X3/QBw2ZZBpf/IEi23wgAlCVs/8IF/6+3nB9o97P3mbwIAuiTXv3Xzlkd3DYdDj6Y6ODxqdFhsNkpxGUfpUYZioQy/0W2zgVJdQCTzdbfT9rY7JQq2UiVCZzeVWlxPhcDpluoL1H3nmghZDUGk+7vP23WuyDIkLCcuTIWcutSSCgThIp3bOeh0Ygiu1SYNMSdqIkhDHJMoflrUSN7jsbVNSmjAdStsdzDPrC4pGARcdwPqeDkFop69cDsS2Kdv1ro/RcC1pUXbNJMSHY5xIS2VAwDIvPKdkbuuhF8Bh6y/nQVARNv0C3f38Hok9K6k+IRZeJSyAPpzNonZfyk8kvokuuobgzh9mEj6KU6fhkOFmGNbQKFMrT5tBBpBbO+1nXN+ezFcrbtMQ+TUJyQBjiZEPRfGUmkAGDli9kCj55qwxC3k9MO1ACrej6NjMHOB1oa93nRW4Au/8X57ibt7KITV6x/7C38RAJDfu4s7H7BIqBeGr3i/SeYl2q4zNf25axs9tH7ofQCA5+7cRosd7X7pwQBG2d/hOqmpqkKbyKSyKH1zjEobjGhvHXIrkBIRUUVlWXh6iDzL8K3f9q0AgDu37+LyxQsAgCcevwYAuP7qq/i//dW/BgD49V//dWxvb9n3r1/H409YVEvLob+efAqvvPKKHd/Z1K+tpvHvo5eH+XpNf8COwbdQl2bzOWI+xzoAMrceBRqdNv3muR3XXi+CoA8eJjFK2g0TSwxom7LS+D3dMYn5KygY+k2dbhczlsobYWCoS8qtxZlAf5NGMZI4YGOe5MHM65ugbcoCga5DQkkgcSVteYnE+T0su7xQAvtc5w50iZCosX9278FrAssPD4/8mqi1OXmIgF9n2p0uniai7wtf+AK2tmw563Aw9PPvaCvCMMCU5Z7bW9t4y5vt95770vPIWaJ7Ztvuow4OB+iy8ctsNvW2P45jX8boqrJOV5p+Wr2fe+c5okCnGinXOWMUFB3vTqTRTon+pF3a6Ea+uVbUSlARuVzoBCPSxxSV8PvsY/cMi8qjOPsbPcxYgmyE1ScAqDgfKhfo9tmpM5S472iS9qd+HXP0NJ008b+sCAQq5ycWCi3Of8ol7IxSGHCdm0cCYWU//6cH92E0fWTGHwwA4ZoWndhLMVbA+7567RrukZIijiOPQK2aHWVXwJ31QkdqNPRVn9Bp25TFxSgEjEd31d7Ma8ka0bWWtaxlLWtZy1rWspa1rGUta1nLWtaylt8X8k2H6BJw9CDC15KPxyOfYdWqQovkNsdMO77r7AZuvmprm2WpEJCboTQSku2stxwXw8RgRh4JcaWHmJmC7N4QEaOPj/VSVMxuKraD1QHQJk9AFIVAYjMPEgKBdEgXIloq4dsoS1PhgATmm1EAzQz7PUZLu4HA9QNmP0uFeWXv7bEoxnlpf1/E7HkeapyT9rcPlcGHifRKOlvIZ5ZLKSZRryUfXM2t4CLvRWF/28HBQX2sMEu1tq+RQTTLn4uTL5vnEnLFsQ8nin+0IjAiAmb5dzgExX0+Lu+6soPbr9g2rFFoEM7s/WWQCHN77A5/SzlS0CNyKVzpImXB9ez+0KNprvTb0Ec2W1QS8aVDYKNPHrAkgmBEXBh4fXIEgkJLSHI0CK1QkT+gTEJ0mcmahS6bEuLBvYG937LCA+rOpSjGDhGA5xn/ngQSfY5BISQ+aRz6IfVt4EflgKMnakROI4NiYDzaspmNrjkDjEeHKaPgYu8+Yu9O5184PWy2udU4EdeXsp5GIRspdwOlNFbkuL5uMUYjz3PIIMCFi5bYeTx+pXFATUF0j/xC7760gxdfsS2fwwgImRUqIbwubTLLW860z0biUhepe//BEI7Cf6efwhzTNk1qXdrctrX7URJBK9qphm1yHBdRIVCRHyCuCmTUpaQVoSIx/VBbPUnTCMf37TOTKINqbDN9T0YxLtGetvh7swDocA6qQOLDivMYxjC+dXk9hw4FCQFERLQqXcBNqssI6uVafpcVU6/d2ngRjbrIV7Hajj1MX07TNj3suvU1DRGQ94m2fNvFbdy6ZW19IRQkOT8KITxSc4tIgGquoafkLrvQQctxRTwYemaiCxstVEu2yUTABvlz4iSE0VafQgPPQ6FdMwEdQPK6sVEYju29/e6v/wp2WlYnC+pe+o63AyT5RRQCRBngf/lj+Nwz32mvwTu7rzViZpm7UYhndy1qIiq1X7dGZEzvbfQxZTYexnh7HscxysL+/qp0+hb6MTfGoE1U82zu2FiwMCVmAf3XQLRS8izz62le1E03FnQP5sT3Tk+WkWfuZc2r+CC1fsN7trt48Y6dLx1qgLYpFwIBSbx7nO8iM9Bsn47zHc9hM9kbeV26stWFGpBviOhBRECfnCdxEgCGuqSNz/Aab+drXUqM9jwlVSsCDu2cT5mxNonE5IGdc5FXKJS1TbtRjDNc5zbJ4XM/Bjq8RyUlfptIIhGlMOWMn7z28y+EQUq/c54/QpTCUtbbI5P5ll5GyTcRX6fNg/M64lCoDwglfcvFHbxEfVKBAYhCziDQpjp0uS5WmYGibQrOdxATaTB5MEbM37XVb0GPrD6Nx44UO0BIDsk4DiC41iWmRgwo3xRJIiBypg2FId3Pw/EIV649DQDIuWC/uHcX3//v/WkAwPQXfhFHr7wKADgnQ5yl7d2lpmfvficioqqemo7xYSK9rl69hus3rD9w4+Z1+zurynPPVEpDazZk0cqvcQHnXymFOHZbttoPD8IQn/7Up+3v6LTxyqv23A79tX9wiL/8n/9lAMB//B//7/AyEVtvf/vb8Mor1/31ANsoyJ24LEvf8MtXf5yKPMQGNmyke3mHqNF3X9zBK842Qft9UykEWjy24xrPFAbzmbUP4bk2UurS4P7Y+z8XNtuoyPdW0jaZCOh07RqUJiHAdS7Q8M0tnN8ELQHnN2mFkISYRW6Q8Noj5/MkMWb71q5Y22SvuxvF2HW2ib/nMBZ4nJybr85n+AR/f9LtIR8PV4wlf7MxHqXsUKcnjuP4zGczPPvss/6Tvb19vlrev1mUs6uYKsscL/M5yPOs5sRk85HNrU1PXF9WyjcM0VrVzchOTR6+LzV8/g+oB2++sIVX7wzsfUoFQcLavBRIOL1dPkumAGZz+/uisx3vg0/3R/6KZzdaKI7t2pO5/VwEbPTsPLbSCEJb/0nqOcIluxRAQrLRSmoqCK6lphVDsQHdhD64iATCIeMVhUJRWb06E8c4Azv/fdqf+7FAl2NRCYEPuZVZxoBZbLpi3WDaySaC3XN41ftiVVX4nu95LwBgf/8AX/iC1SWxsAerz13L4hzVnMz12l9XUgAOXd3cG5qFvd3D5Zsu0KW0wmQyJXytuTHiQ2TqAM3f/8hXAAD/zfe9DVHHGqlNIzA4tpszAe0hyBnrCtWsRJcOUCUqqDEHVxpEhDemwuAMlXa/IkRfar9YzPMCAbvhKCkAEodmrP0pQ4M2b10WQGuLSjtTmOxb49UNrevV6bQRb9D5mxfYptG7N57imYSlmSyTKgEcsAzMSIm3ZdbICJMBDCbQBhE2eBLQZwxQ0jC6Di9vGJd/YtO59DWzYjFrLnALTtpyKdopi9GWVM+Le+DrUqGf/uTzAIB/+AeeQZ+kf10hscdyw8oolDx2ElGfdIVtw0VRVCjHrkzLIGaHwVBX2Oo4fXJdvIwnUJ7kJYLK6aGAZsfHGQOkqdRo06iJEojZPc3MAkzZ8axNotXzm5u4yMXy5s0DbHIzeWcyxZtSwowj1zRAYMLSnVILvMVBR6F8l57m5s6Xm0FAL8DO3Yal3kCuDICa5bKaZV1rfq/5ulle4jZFYkl3zNLf0xDrPGil8SqdySiKlkrn7PX/wUdeAAD81e9+Gq2efY77YYgDBluV0dA8dm6cLpXYINxYiRIFSzgKAKG08x8C2OL5jpTVpUgaZNSZKCoQ0IEuJVCSODTnSpCGEhETAaYUMJEdzzKUUK4cjb+kXWoMSWYeHWY4S6Lh+8MJdmmbJoRrR1Jg7gjkjcQ7XSmRqbwNruezQW4pgnr8BOA66dTdE5eBy81N4WsHiRbt0Aq7ttDgYLkxgvvOaZaZPUwazwDtzT/8pF3r/uZ3vRUpbclmILA3tGUYCtp3t5vGvGetsMlNfSEUtCPTRW2bUmmwxY6tx5pl/IGG4vo2ywsI5/hKoMoX9UlJhaRkY5YcMDGdzFs30NqxXRejmy/a+3rhK6he+CoAoP++HwDOWMcZz7+E9rmzAIC9I+uEnxcRXub6XxQaVw7s+199cIAf/IHvAwDsnrHfmY7HeP+v2rKkbDbB5au2EcTFixfxYM8Gma9fv35iTMHAtRtx01ifThKgLm3QXLKoVLWJdCWRpvY7oihESad2tTP4qOU1ElOU/+7DXwIA/J0/8Ha06TelUYgHA2ubKgmwCgfTwJHmVui70kWpkLOhhRIaCXWpFWjskBR6YDiu0viymGlWQpZ1AFswMJjRt+4GGnHJRFGusdNjYGEagnE3RK4TXaExYXB/d3+GFsmGR+M5LjAJecBq1RACs8olWySeod0w1aoN4pI4E6ENcvp5rsmPb5jx9Yhs2JvGkueaJNjkybL9BFZ1ufrGix3Hv/dxu9b9ze9+M7q0TUkY4IFb64RxMS/MPL9HhR43YkIoCNcJOAnAngjYSgLMaJvmgqWAUD6grEUASeqGQjT9cF5CGrRom6a5QZc+WzEfQ5E4e++OpewI5wX+9ec+BQD49//iX8S93/4gAOCVj38aXe43zIXz9l7abRw8+wUAwDN/9IfxHV+2v/9n3v9+lLy3knouhUDpGmXIeszSVtvvb2YsDQ+CwCeA0jT1HTelFJ5AHMbgKy+84I8BbEdQV1b2K+9/P86QHP/VV69jxjI0R1w/nYx9YgnQ3g/vdLoP78b4dcsqX29Z7Lj87KdfAgD8te99K7os+UyiEHukLFBCYzq352pznTPTCl3jyq0U5lPXolEjom2KJbBJXRqwwY6QBoZ+yjQrPA2IFgKG81hQlzQMUp42LwGaTZgsRMW1wgElOoXChI07zhzOfcOP4WSOM7RNd5gFjwXwgPoVaINvob/xT6eThn9i/0opfHD5/IXzuHXzlh89Xxbm1zaz9BkTiAsl+PW4OynLAjvUn+lk7Ds0drtdTJnoyLhmbvZ72OhvAgD6mwLH7NRe5LlvDnS6Yla8rn/bP/yY9TX+2ve+BR3XXCwKcG9Q++Azjucs4eRWGm0XNhEVypnTCYOYAf0kADa5Pzxk4CmUxgdoprPct+ZVRkAziMweKSil8ZQfsxzY7NjXQRGh5P24rtabucL8rN23xXdHiLjO5ZMMIra/ad/t56Tw3S4VDJ5xWyWV1UTvbi8VxDBMqoimr9OkD6Eu3r51E089aX2qG9dfbTRKbI5/rWO1NALcBg1/vJ4jvdB0aoW/rqs3FCNYly6uZS1rWcta1rKWtaxlLWtZy1rWspa1rOX3hXzTIboAi9qK4whF3ih5cQE+pX3r84rEph+9dYQ/ds1GocezKQzLuDomRo8IqYLkgVtpinuHNkqd3C4h2ZZ6qjIYli9c38vQ7tl0oGy7Eh2JHmGMk6pCsm0/n5cBFFsYsysyQi0wJMFcAuGJEo9SgTkjnH1mfHKhEfPeXily3CYk65wM8N8T8vojRH9BCFvyAeC35wX+xsGRHYdqjlbblmBskYhy7/59KOXGr462CgCSZHxzEnkuwuBfIyNsXisr0ygJaoJxVqG7Trx/mmJROFIGdWa0WZrSiEorltV86P4IP3KpDwAYTqe+Pfq2aKHPjKVmK+rdJMS9I5shCO6lSDbsPAzNHBVb0L7S0CdDJWlDY4NZnWlRIu6TFF4JaKbTQ0/8LDChjgRCeFLgSUtiRxMuS0j0qMrQdaSYMHiZGRkpBH5pOgAA/InYPivKaOR8Vp6tNP7ukS3XzIu5HxdHuiik9FkBi1YQ9VDy/boU5WEtYZfKf1bqXPNY+M9D6n1VOtTQImIxcOVvDtJ46lKXG9Ri/DNimKn4/NEUP3DR6tI0m6Pi79oIYvS7bIlN4sndKMFtEqW2Gro0NRlKwuNv7Q/R6hJmTf1pBQKbriytKBFt2M/HhUFAIviYQ5xq4D5LHp9otzBl5uko1f4YQd3e7wWIWEp0nOe+ZCcC8BsTm2F937ZF5WgADzifX1IK/5Alj1JKT0atq8bccHpDGSBmlnM6m9UIitct0TkJu184sT0JX4hFe2SWjl1Amy5nCb9Rduoh2UlnJ1kW8OmjOd531q4Hx/OZf+Y2RIwN2qaK83c2iXD72OpT50GCZGsDADAVGaq51aeXD4bYpG0iaBStQKJL3ZoUJbqbXC8qCc1yW2eboICxK+kAQE5hDPJjvPjcFwEAL33sQwCAC49fxrv+1H8AAMg/9DFUzAw/96EPY/d/bcuG4p/9GXsrB0d4nCVKv9nbxId2bKnQj31ngl/8pV+0F6E9l1IgoQ6lnT6Gx7bkRcLg7r09Dml9rFvGjAakrMt0Ham8FMLrgdYr5kXU66kxyquMch83vlGWFQKut7bZwjcC0fVadhWAss/hx+4f4Q8/ZteCo3zm06JdBNig3+TWxLNRiJtDi/jo3IvR7tM2idzbplcORujTNrmqiVYo0GvoUtutc2WMirYlcmuNEciIUO4EAca09dNU+AYrFW1l1m8hIoH5g7JAe8SmAkLgN+dW578t3uS3DAr6bh/VwM/dHTQG4+GITYG6hMlIiXbb2muHrjk6Om4cvAqd7M7yBqVx6KLeNVHOjff+HZYuNpHwDv35yQcjv9YdZTNPJN8REfpd6hP93jNRgFvUp+5ehHbP2rRRVSOSP33jEEFkr3FEW/H0Tgub9KGGRYXuJtGkpYQhvYMrfYy0QELkxMU0xc0paUiGD/CR/8GiPcqz1l++ePksrp29DAD41Q/+FnauXAEAfM8/+jPArl3jvvojfxwAYPYfYIMlhv/46Bj/7WetnTsa7OO//dt/GwDwl/+L/wIAcOHCOdy+7Ro91UgvpedIE4vOaPFvt9fD0ZH16YuyRhuhMmjTv7/22BXcuWeJoSsioauq9Ci369dvQNJnu3zlCh7sWyRss7Tb6dP2zhkMicLJsow+8qNv4lNL7R8BaKh1w2Zxz/KZ/TH+6GN23B/MJoj4HMZN28Q18WyS4MbAPvO9/RRxx+rSUM+hMjvnrx6Osdmzcybp8yYB0IudbarQ9bZJQFOX3AY60MA4s2OTCInQNQSKFXqcJ8O5nbQinJ3be9srS3SqGpn/0bnV+WciuxYHEJ7y4QNhgH922/rgFsniHDL61cbg6aefAgBcu3YNg4H1wcajcU0fskK01uhwTObzeQMhWosrg1TaoNtlOf9k4l9PJxNPPO/W0sFgCMXffvHCeewSCXaXKMlTFdFACZqHoNSoS797OMP7LtjfcZzPELnGTYixQbtUObsUx7gxsHO0sR9ja8v+5qmYQ82cLo28zxS4hmKBQY+vp2WFjb6LD0hornPNpnVj18zAAA7wfRAabPGYhD9hloQIWLp4vyiQ8JkPgwDXp9bHfvemtbnCGFR8Tj6sDH7hXr0+OZvQ3bB6VxQFMvqATX/G0i8tVVsJ4IMf/ID9nbFbifEavjml2fhpYRkUXgfrEldT05nw//4e3sA6t0Z0rWUta1nLWtaylrWsZS1rWcta1rKWtazl94V8UyK6AIMiz3GCkwAAIH0byst9G8l8bypw76bl4hDtyKMYulspDknM3WV9bTHIsNUhuqYCsqFFhRlhIMl91KsCZOQzEcwemdBgSr6b9nYPObMJqqx81s8hM6QRiIz7nkDsSDmTAGeJIEObEfRYYpoQoWM03krum8fCGDv8/Q4HoSFgmGH9w4HEB9jO/KPVzBMIHjLLqLSBYA2ubtA5CCE8/4MHoyxExJdQN01ZGVhdUYNrGjwozfraFWTm9tqnH4+1xJ+r0GU199RjW1afvluWXp/KWCIQdmxb/QR7ewMAQJdZ+tZ8jm7H6pYoDbKRzQYIYxBRnzqlRD6lbmyT3wPAgPrS3+ohoz5VmULg5o2cE0YZT9IMKdHm2JZpAE2CzWB7EwCwpUvcTsltIgSukHg4EdJzyHgkRBggoN58pxB4F/X4U43aasn3VFU2KI6l5+Nq4gf8yDbJvZeI4ut5X5Gxfg1ScEfc2tSxJupMeTJVgdPiVQqCABsbfUwmE8+vZjPvDb0iQuSxvs2cPCMr3L9ts6o6CRCxF3WyEeH+gwEAoMts2iTPsNG1r6PKICOHngLQYzYSVYA5bVO4ybkRwDGzM9s7m8iZ3VN55ZsCOP6mvDLYCW0G+UBpnCE6IUtDdMjHNaY9ipMQc2aeYIAL5PkIpcQZTtOrnJedIMCM2abvlwE+mdj7fVbn2D1n0Ti3bt7kINXzY9EutU44fXP8JUar1TbkYUkeT27ZRPw1UV6rdMOctHXNz74hUl+/5ierdeuxLZvre8ZkuHObbdBbMZS0Y97uJdgj/2OH6MZhmaND29QuDeYT+z0NA/YxQa8QmJKcNyWXpJKmtk3bGyjcWpcrhLTVBedalPBrnQolUg5vkWh88X/8HwAArV1rV5EmeO5X/jUAYPuJtyP77OcBAOXnP4/x7/wOAGB65z4AoNrewoTErOcPD9A29t4+9oWbiGh7S3KbCCGxyfEJggD3790GAOxsb6IqbTbUIbe0VvDErEKipN1w6yeABqcclvRi9euaR66B4uF7RshFLiejcXo6tYgAQIPQuinOb3p3S+LWXdvER7RCOE+j00+x98DqUjtm458iR4d+U6cymFKXFAxiskN3S2DGda61Vdsmp0ubWxue/LssSq9LFX2aUAiEnKcqkGhR7+ZJgJi2CSSjL6MAMnP8HgJniYqJpcQ5/k7dmIOI9u99AJ7t2yz9p49m9ZitGCghhCUT56cZeZCqyRtBvbwOkmslgH6FHWq+t5zZ/oag4lejWk3jvq5wPN8eKty4Y9c6mUbWOADo9hO/1nViO0/Hufb61CqBCfWpEkCbflM5KNEiKfMzl63OjucF7rKZ1JkzW8i5/lRFVesTEa0CwHmi8PqdGB2iGh4UFZ65Zvn9nh9Zf/n+gfYcTAYt3P2y5bE7vv4qkn2LsjlP3VXjCV4igvpcWeG7yS/4K8f7+Lt/7+/a9/lelmXoEQkzGI39lGmtMSePUULdHU+mkOQJlkaj4jr59re9BS++ZLmrvvrSy9glKfiUdsUYICbiPZDC8xEKIRHx+fW2MpAeTdFE9mitFziRH604v06c1Hd7o3AQ0MtbmwCA97SAG3esD67iAEFgf+tGL8ED2qYu/ZGjMkO3x3Wu0BgLu6eTMJAEoCSFwZjrXJfrnBECI9qQ/lYPeVXrkuMCLKlLZWUQ8B4LKdDmD4mTAMGuRQsJosOqUOKI55UAzlDno0CiamyXAGAsgICQnj8C4Av8/Z97cLcBOLfnldI1DrMNfByau7fR88i8h1XkeETfgtTPtvboaOn9tN0zZ/BgzyKipQCmUzuubj0LwxBnz1o9D6MI4/G4vurr+Wlfj7wmkkhAkM/26q69t7eGJW5wnZNpBEMSwHY3xn36TH3yqB1XOXpEa3VKjemE8QFjkLRYQVEIjFkV0e7TXxXAgD74zs6m16WyqBBxP+fsUlEZSFbllIFASlRcHGlg29qriLzdZSQRxK4xAnCOe/5ACuzw2XarkRHScxa+D8BzRPF9djj1W+ycvN5VVdZjKGt/xT6jQf0aAHQFwYqhoigbPvbSfm6ZS+vEstHYBy49B1EUN9Za4X0q8QZjA9+kgS4nzQ1yA+JGxfjRt1gY55ldg1eu0wBMckT83pnNEIM9O2mS5IDnWhL7B3ayR4djtJ+wcMv924fYvmINViEFQsIQDR2kGQy6sYNJV4gL+3mgBEo6ZAM6eW0jIOHKvIQPTLQrg/GWVc4ON4L7wxwJlfPtGxt4YWThiDpUeMCaiK2O3TTnwnjCw89KgY+z9DAIJCSPzUlsmaRpTbTbgHlqrWvHfCV5PFb7aKvsimgevFQyseycLXRbaQadTjvIZYNu1jbWP6LeTNZ3/ceeeQsAYDue4+UbVp8wqxBxbM9eCzHa56LDjoln2wH2qE/jwzG6T1gC5vu3DrF7yTo4ZSjhuERF6chTDdrUp1lVIS3tOERGoOSic8SFuQUB4TtS1F0ZWxpIeY1WYA3vYW6w27ebvqo1xpydjY60xpBO4Tk6VqXR6NI4vSAFPkV90sb48lbdKM2TJOE1xvgAiu0w5nSrMeYrpfkcy9co9+BYuVJIY+pSDg+FDerA3YI+nV5gQsB2net2uygcWWmeewi9PcZe/weeehwAsN0vcP0WbdNMISVs+sK1COMDkpCSwPlsS+LgmJ0Pj8foP25t097tQySEXsdhAO10iV5TKQw22BGs0goJdUkiQMmg15i2CUHgS5dG4woFdVArjekZBrIYbBoOcvQd5Lnbws2J1fNUCm+DnyQUeqYUrnGT+pIx+DSJbbWpMDg+4ui4OQx8sKEoCg+Ptz0qXMcsU7+3MAMNKHTT2TmxGVwOSryeXqx2EE8/znXyfhcJ+O37P/ItbwUA7GCAl6lPwTxHQtt07mqI0SFtCJ2k890A+0dWnw4HU1w4cwYAsHfrEOcucq0LJRIGXwXh+4UE2uzemxUVUgaZpKkh54Oh1aFUSgSue8/EIKZ+d7e2cfb7vgsAcPvGDQDA29/8VhzesmU3ajKCvPqY/R1G+xLa8vqrAACdxDjL4L08cw4f/JAlit7aSKBIIu6Cojs7O54It7/Rw7XHnwQAvPLyS/UoeluiPZUAVoyzF98sxT1sK9a0+uSLZzC64Sw2dTR4SKD1UYhB3XGxuck4mcD6w2+169zZ7QIv3bCBiWCmEXNdObsd4oi65BrlXOoGuE9d2h9MsONs050jnLvgdKlC7HWJQYFA1LpUVkhovKSR0NSbI98FLfS6pCf1OpcagfFZdujkPM6PM8S0QZ12glvsGJvKAIo6+jhLv7UxCFxgPo7xOw9oj4Ssg54rRDedA2E3LY2BtX+9njRc7dWxoUVZ9flCR9iGPThR5rF87GnLKpsK/xz8UfpN59JprU9Z4btOn90OcXRg5y2lPl3u1fp0NJpg66r1mw7vHCGOrK9+vtcG93h+k9iJA2g6U1op9AQ7zwmNmLbQdXC80m35bpvz45lPzl0QAe52rP264nylUYXwgd3Uq0JgPrS+0KvHAwzZWe6POb8LwNu49n7aCHycXeyMqRsWtLlx3j8YI2TiYbO/gTnLow2AXq/r3weA7/i2b8Pvfu7zAIDrN25glyWTk8nEE8xv9jdxdGwDb87tUKryPoiQBYrSBYV6mPPenfsUQPhmXkqVSEn4XuSF9ztPVRboBBp2inP3g2+x3TC3+jle5Tonc4NA2s93r4Y4OGCQiR0TL/Zj7B3Z37k3mWJ7y47b3p0jnGWZfx5ICFdjznWuCoT3wfOi8gkbAQnDsrfjkdWTlpSejiJEgNIleiuNIWls3BpTjAoYPiu9boo7LJlNpETANStxwYsGIfrdNMXn799fMWRMOssQ7bb9PTdu3PDNCPq9HmbUKxfQfKg/s/B+XbIWMxjXTPgYrX2X5TCKkDJp3naloYNjHwg7f/EChmwYUOT5awSiHpEsmL/mf4zvuvhD73yTvbdkiBe5nxNzjZi6dHYnwuCIpYBd+ky9EA/og+9NZrhy1vpM+7cOcP68fV7DUPqfp10COQA6XOfmRYnEuPWg1pvjkZ2bVEjfoVKVjf2cEQgv2Wvk9Lvng8w3pdjaaOPWmD54o3T8cmS/Y4z269x1GeJzI3bXFHXgSPr5TBoJuNpnEGj4nw1gSj3Uq9co+8Wl772WDizt/coiX3jPNTizDRj45mucbl26uJa1rGUta1nLWtaylrWsZS1rWcta1rKW3xfyTYnoEkIwyG9DeIuBvDqL9vO/Y1v8vu27nkSLEfKq0miz3HA6zLFFZFafMGmZSMxTkjhGAtnIZm7e8vQ2UqIiDjcqjAaE5pOcMQwCOKS8VBomJbJnUCJ3HzDyWGqDkPcYRALBxL4eZTk2Cbcd8bxGGKBDpMy0wNtDG1l+oCv8gYQEnY50MpQIQpKOZyUAG3lWlbFIDQBbzGaMx2PEDtpYqQVkjh/P5dbWy68fErxdKQvtro1H+awuo2hAJd9A69BHIQbCt1iO48gjcrKs8JHnn/2ILZ954j1X0SaBdiUMiBbF/uEcXULEWywPLKIAWerKUAPkY4uoe/vTO0gT+/7xRozDgX2/4rxHQQCXINalRsZ+siIrUZWOvLABK+Z4BiGQjO1czvMK1YSZ93fY7MWkOISGzRycjSJMWD4w0hW+P7X6lPk23AGyiKSaVQXDiHoYxj57rDz6r4YsCyH9vIVRgrJwrYRXoPSMaUCvwwZ5u3kI+sa9JTy6ZyH79zBi3ubrU0JNaGPLDaIwbGTXBTZJBjkYDGE4v//82ecAAFeeuYiEuqS0gaTdyCcldtmjukvbFCQCxdR1tEgwH1sb9Pand9Bitmi2pXGfzTQUM1dhIBG4so1KQ7Z4vVkJkAhTcEgG0wwbtAudVEKT0LksKvDWMOzb52QnCTEnibM8muIKM+W3VIV3koTeZbs34ggBM+2zsoI2ruSxwnjkiq8N71egUiSo18a3sE7iyEOra1CKxAJBfNNurCqVXiAMb4g/hW68dvrVaG3skTgUd+1TSVAKuKzqIimnfdVut32m9uc/+hkAwF96xwWvT6U2iNosex/l6NMO1WtdgCJiWeJ2iBlt0zvevIOU+nTcTzA6ZkmCsbobBIEnmTXaII+J2JqV0CyzCFzThUr7cowwFghpm7LUoE/C3UFqEYtf/bVfxs5b3gkAeOGjH8XTz7wLAPDO7/+DGH7kYwCAL7JdeS9N8fLQopuPozZGxxYJNh5oBNTDhIZ5Opt6vTksc1+mYYSEDOpMJYDFVtonst7NDGUDyeX+Nr/bKH88sUYK6fXUejL1Gvh6y+jXLk6XsGRXTy7sv/CZzwIArn3HNcT0GyqtkbLxzmRcYpOIlO2utRVBK0AZUj82BeYs6XjmTVvebxpsxhgcLepSFASepB9K+/Iek1Uo5zyfe6QrBS59iCOJgKjBeV5ig6cYbab8PIAhEbkY57jMkq87qsQ7SJg74gKrAomA69xAGWg149newDrRmDBH+VCjixfXuUbf9cUv/p7kZDZcPOy83xBA18OQY/W9/NOP/y4A4D9/12Vvmypt0O7QDx+XvjRos2GbFPWp6Bi8cMciLr71qW0kXJ8mRqFkmaJD/wkpYPhM708yTFkr3a4K5Czpf6JNHak0xkTvhJFAcGj16WCWeQLwGUtiU6lxFBHxfjjH+b5FmL2UTfGekdWXe9ShXhBin7/nxjxD4FCMwmA0HAAADg9KP0rO1xQLTU+AKRvPOMTzbDbzSIYrly/h6NAit6KNDcxo0ybTKcYs82wTjTWdjPxc5HnuKUum01mjIZX9vCwL1Dqk66oPKRElMYr84QjHr1+WbNHCfsD+5xd/51kAwKX3XPKk4ZU22Nyw411MK2zxd28T0RWnITJDCo9+jDmR5888teMbR4w3U+wf2PEWkvQRUYCKzQqkNghiew9qXqGibRI0XkVVQXLcokQgGDl6iBKkaMdsi3oXS2jqihxnuER0zh1V4R2k0BnSNs2lwFk2JfpSZWDUoq8E1ETxFy5e9K/n8zlK7gun06nrz/aQsW6QjT/EaDi//OLF87h71661w+HI+wEhBFpsAtDr2mdGCuCQOppluSfoP3XRCpABFtHSDXQgdemffczapb/07gtIqAeFMn6dy8aF95l2aJeSNIRmdUxrM8XU+Uxv2kHMsR9uJDg6Iq0I17k4rNc5oTQUfaZqXkC7MlY+WoWuPPF6EAFyaOdRFQoY2GOyHTvWIgBau1Y/zGSAq9z/36hKvI0NeJyN01IipN4NKwVjiO4zyo+UQ3guiCnhfIcFrRHOR1eofWVgwVdeQGUunXfJ3tUnbx7s1lDVOLY+2LAa6/XkmzLQBUPImvvhDWirfc3yn7OWjeHshU3ce8VCPrOiQE6lTk2EjB025nftAyl2+tAta2yiLMcOjVMY1rXrnbmGaDEoQF6GJBKYUEmiXEOR48QIYEaj6DaeCsAW9/4mA4QzyC2BOTtUdehjhUZAscOH2ukAd61z3wtjCMJqfbe7osKUivwPJmMPf4QQdQCBYxMniTeaUStFyeCGW3TtzTVhxPXYL8YNxIrjm58v/T0hzY3iCsO0WJt0SmIX1Zyw3rIs8da3WLj99Rs3MOO8Xrl0EQBw/tIObn31rj22KlFq1/Elxpy2PNuzzkmw1UfJMtSoKLC16fQpQEnL1ykA02Ink2LOz4Xt6AigWwQehi4FMGHHzsKVcRhgi/6KzgBQn9AOMaNjsnds9SYWEXYJLa4ej3H3sy8CAC4kMSSDFiGNpcgLaN77Pzw49JBVpRSS1HW2cY4SPIw5CEN/jvlsvmjMKM45F1L60gsLr5eNYxc5lBYpSoTnu1rkfHtYcKypZ6ezndTaIJvPUYaB7/4oZYARy42bcvGs5aW6cHEHt15ml6SqQlFZBRrNFaYMdM7uWdukt/vQdKDDeYadLbvAxVEAt1S1Co1z5PwYzewiHCcSD0ZWr1q59vs3KSWm5A0oGIDTkUTIhbfIDBKW4OZliSm5BHcCx52iPTR7fr6H4sYAAHAujhCVNQ8KYGv3Z7RNf+fguDF3EqFzWFlyVlWq/hzwQYOyUI11k/qzEF9YEWgAFjecy5tPdxKvWEHD1jU2lav4vE7dNhnUun9y0z2bzfzr8xesPl28uI1XuNaVRYVSkQvJRChpm/Zom8T2hl/rgrLEDm1TFIXebWlXgOhY2zRnsChKJO4cW9vUKQChXUlHXZ6fOdi7ALZKBsVzA8kNyWx+iA/8858HADzxLe8GYB2927/2qwCAuNuD1jbo9eDLX8JZ8vxELDfLp3M8MbKlEP/RaI4dlu7MJmMM8yHHzI5dWVW+g5kIQh8cTNPUH5NnjZKOhcCBm+CG47yqI+wCf2AN9Yde5QA29TFoHFNzG35jZPla9v/nd88DsLr06issJS1KFIrcZyaC4s7pDrlN9O4WBPne4nmGbZagRXEExd/dUhLo2nnM2BE7jCTuMsnTkcYH3KU2GM2YwKPBUiLAFt0TlZeIGXAPqgAZ/aau44DT8CWK6vwGsptWJ3bCBFo6fjD7e3WpMI3snPzM4QQrOUZ+D7IYK3XnegMHixMvHnq8S1IWRbE6twPgDe0Avi55rbGpr335gvWbLl3axsvUp6qoUFTWxpc6guYw3XOccGe2oLnJ3CoBw4R0pgUM/aawMtCR1TPBtSNNA9w+srZpJ4yQuXLrQuEsg7Zzll/d0hpP0HblykBtUp86Erqw1+hzDQgRoO++/+QGDl62a3IqBQIGcudcQ+/P54ioyD97PEXcY0lXu4vJZGBHjva819vyHRG1qjvpRXGCih2iXcnbYDD0wdT9/QIhN9avXL/uA/T7Bwe+lMd9bkuia9vkrl1VzTXlpN+ktfYJ8K2tLYRxgsOD0+havSJR+ZCypto27XjbVJUVxjP7W9JuF4b1WXfusjTr7DbAdS4sC+yQpkZGgfcjUi2ws8EOelxXW0mI+7RN7VJ7ntzAAEdc5ypXli8kekwamgqQBCeoBJhSl9LKJYcElAuQnetjfnMAANiOEuT8+c6+ykrhJoONPzdQAEtxYXK4OXMBrbt3bnuuSaWU74K4vbXp93e3795tjO/D7ENjLviyIlfleDT23Tybsru7U+sb5cGDfb9HL4vC769s906ueaew3HkamlX2T9QB1KsXbefUx65s4asvWt5OlRUo6ShVpgUduHWO8YGzW9B83lHk2N6wPrgMAyhnmxXQ5zo3I1VQpx3h1qENfvUq6eNCIYD98dJ+DkCacc9vDCImk5QKMKKOJfzbhoDL/sSXN1HRLu0mMYxbepwrUpYYMd7xT47GdbJugXOUfx+a8KuDTG6PVxqzgocU9kEwK/zmhfM5oMTDkop1Wf4JSiXAlqG+gXVuXbq4lrWsZS1rWcta1rKWtaxlLWtZy1rWspbfF/JNiegyIOH8KiLzxssfuGwB7dNMQ5M8O5ElAma5BxMNyQhnpyK0t6wQteyx7c0EceggexIu6TvKFUoQ4sdSDZQBeoxKVrmGYZZmOpohdCgqRmmRSCTbzEQFElNCm88nbewTBu2IpMeTAld53bGuYHZsBHnY34Xm9Il7Nkp/3InxL+f2unvzORaipbyHMdEllaqwtblpb70qkSSu+0rmYZNLg35ifBc+eFgEfdU50Di2ed6F6L77XOPhmYdHJfbihjBlBYWbt24BAFqtlidgfC8bBUwzhZBljqLSiEgsOMkENLNJbVfyUSrERLJ0+zESZggMBAh6wXFeoVR2kg31KQ5DbDFiXmUamtm9yWTuyQm7TP/oEEiZjRShxFDYc0gTIWQXquHMZrTn0wpdRtmHsxznH7MlZs89mKCizrYYOZ+kIX6ZXSKPymxhft09NEtefTmjBtLQmRYDsMuJIwxNkgStVpu/Z0K4PGCUQq2zEkHo0F08b1VhAWK9oC9m4Q+ZyxvfX0InnhJwwhgikhr3ZVZkR77ngkXVTWYlJDNhSVFBMrV9ONVIqDch58sohYSZ7XQz8cT1gAQTdphkCiVLb5wuCYTYJIpBlIBiR5j5cOYBB13aGJFIoG/vJxWA6tLGFAIzkmV2I2ZMZyV2ma0cK417JONsqwQxs5+GRNJ34hD/lqiLgbLj4qRSNaLFD1Gz1HABIr1o800TCbrcAc80z9uwUwAWShuXxavKqvtpoltPG33TyHR7m7yMMrGv38sOm+NpyU6VQCoVBPXpeKJ8Bi4lQqAqFWLC9Le6KdLG8+aAvYN5hcrbJmYOTYQtlgdWhUHFjGQ+miJ0tonfN6FAi7ZJRgFGwmXFQwg+Jy+/aCkGppMSb4ttJvTG/i0899W/DwD4Iz/1f8TLH/6QvcZXLQL1ZjvFv6Yef+H+bXzreyz66+5d5VHWmWu80mojY4dGA+mfx2w2gZ9MX1ZhGpaigcwyujEXzTWpoU/NOWoiBJ1NayC56q60YkEPhQxqFulHLScQiCf1CAC+74qdg/GkRMBSmkgqj9wbTAFn3p2dr8rKl260txK0aKdkEKDI7bmPpiWUXlznAh1iiwj7sjAoOafFcOo7m6UFUTUJkG4RdRNKjFxDHx0jYYmaQ/tkSiOakghYa9w7Z9cbfWeIHtdokdp7P2yF+Lf0/wbFtJHhbmaWX/tZF2ig5v2bq/3SRURgMwMuTh574kL2w5LPTm+jB8n3hqNxfd434o993bLq/CfH6bs59qNJiZBoYC0rGJanH40NQtqeJGqQf7Pz+O5GiidTohqS0OvTS4MJEnbbc13uwiDFLikhytxgRsTy2aoCWI59zrCDmi4xpj61WxHm9JsSEyImEizglB4NC2xzrbu5d4hJz15vM95CMLb+9xZ9vpe6Ad5PnT2aZdghMk0IU3cu5NCNx0PvN4Vh5DuLVbOpJ4b2jVdQE0xLKb2/VlWV7zTbnPaqaiJveF2tvD+2Wur5E6hV8j3f+q344he++Brf+zpleX+xvObygO+5xM7Pk8KXqMdSAcb+poOhQkh0pi+7LiqPGm/1IrhCmOY6dzwpoAz9UD5bJhfYdPqYa99JOBtNPUIkYmWOCA3aRER30wgDovtiHUJldWdWABjNK3SJpsu0wh0+H63bx+hH9ONdM7I0wm9zvzrKpoCnfGiicJwvZHwjgeYxx0fHmM6X6UOad7SM2Gl8zkMcMuv4cB/Gr2PS6+7+wSHa1POQv2F7exMjlrBfunwZ94gmG43Gi40zHqk4dJFB7U82/T//D773otWlYlZhhxVaR6WG4Tp3PNaQLLVOaJ/yvETE37mxlSKmrpkFXSpRcp3zjQ2kxCbPUZYVMtqS6Wjq7XfoWDkCg+6WQ9cHGBL9JnToG9M5O3JnWuEMzzVRGsUZq0vV7WO0OQ/g/R63Y/wW73FYZljdaMWtQQKrKV5q/7MoXMfqoOEKN3wmAAsUDicu9RCclTEn7s0iLxudH1etm68ha0TXWtaylrWsZS1rWcta1rKWtaxlLWtZy1p+X8g3JaLLZ+tXRoXr9/7FZy3h84/8H/4kjtiKNjISc0YD2wYwzEBPSFCZpgZdZrnnwkAz/B9ogYhZpVYITAc2Ytsn54isDBJGWWU3woSZpCCNEJBsmVQlCII6AqpLg5i/YxpLJNvkT8pYnz8ufavaHQjs8bx3hjewFzD6T+RHJ5D4dbZRT+IIWeai/8rXoleVPe/W5iaOjw7rUWtkBRb4sVZKfewCZ9Iyb8ny131y9HWyCsscKKfWcr15GwZNUmvPqySEb/n7b778MgDgJ3/oz2J4x5IjJ5DIOe+JkQAj/IrR9DAx6JJ0dSQ0FPUpNRKSmcdOABwc23npkxNJVgYxf3fUTTAgr0yQhIiJksk4dkEYehReVhiA2avedtsiHwHfgjYej3F0aJ+FjbSNd2h7Py/oCueYnR9Sn2IJ/MZxrSOeQFkGntBZBDVPliAqIo5jjMcWCZa02p6MuCb4zzCbTji8chHx1Ijy9zY2Fq47Gg5rot8msmbpe/V7DoHRyMwL4KRiPjoRUkDA+HbdxhjfIMLydtkPfvm5FwAAP/pTP4nBBz4KAIiERMEvJsZA83c73r12UPlmFVMYTKhLsZEIqEuxBGZsy97vO9ShQeQywXGEwZQ8cO0IMQmdM6f7om4xbJsZWF3bPtPDdt/aJofiSwYFUj4bZ7XBYGjPe390hPMkGB/7e5f4tXtHHKVFZJ5wfFvUpSAMPZH4ZDRojG3YwNs057uR6WmiMUTQeP0GczoLhOLutMtZKn9Hb+ycj1SWuTXs6//vl6xt+rH//Z/E4AMfBwCEDX2KRd0+vSBiWaYGHTYmKEOJCfU0qgRCPrPtwODokGtdnzwnSlhbB5txHFGfgjQGRlZf3JoVRCE07zHLNZgsxdZ2q+bQom2aTyqEZ2y77s3xq5gKe72Xb1yH+Pyz9t6J4rnc6+D9r9rW5efObuOYrcvv3r17IlucZRm051urUYELWULPZxnUo2uqRR1YIFZ1+tS0MQ3x/9VY5Hxyp3P8GAquObdeWENPQUyDA/GE1FnSf/UFa5v+xH/y53D8mx8BACRComBmuWWCGr1L7hvZ0uhSl6baAER3RSUQkh+tI4GjI6dLjl+rRqyEYYAhdUmmEYJpzfMGAEoIGN7/vDDQ9N22t9qoHB+XX+dKZLzfjgEwttfdCwQC17iDGfY0EPjgnrNNy+P/xubDGNNA2xDtbMyiLi6guBrQlaYPdeLzRXG22fHFTiY10XQ7TTFzzTpOW5ceKifv+5ef/QoA4Cf+wp/BJ3/9wwCARAQo+RtSYSBpmyquY0Gq0Uvtby2EwJjPS1hJJG2rO5fOGXzuZYsS+f43nwUAHA4zbPLzSaARE9X0wrTEn9voAwBuk4w87sQI+GyqygDUh7PbHeRETihCpcNhiYy24l3dFj57bwAAGPUL5OQjHHBt7huFjw3H/PUlZjPr68ymo5U+9aJvXvvejnjewHFqleh2HdpyBEfGJYMAJX9nHCdeDx0PkmpWv/CMvAiW9Vt4a2RRpw5t8rGPfwKXLpzD8eC0sBG8l5UqWz8Pv/zFrwIAfvh/++M4+vAnANi1zdmmxAT+9yvu10yssJmSmF9rTGhDokog5jrXC4BD54O7PZ1qIG+DEKOJ9avCJILhnk47vqKo5qWdFdo3btropoB1m5DR/40mFTKuy20AIVGsDwTwJO8np1vdlQK/9cDpUtV4vE7Og2oggTc3N72/XZalv7eL5y1f3t6DA8+pO501CchX7c2AbddcaDD03IdN21XkOYS2OtjrCo6DQEhE1Gg08o0NgNM2TU3kNRb9twZS8F9+5vMAgB/9qZ/ArQPrXyRJihFZ4XPA29aK8yJSg3Ou8QE0KsdnrCTatDuFMDg8tr91k3xwoRGouNcK4xBDNoxI0xg5fXDp+Kii0KPmJrny/IWbvZZ/Op3PlIzGGBOBuCMlsrGdy7swiIlGHDs0owQ+eOjWuSV+Pu+j1Ojz2ko0909iqbqgXou8LCxjqxDRTV8MzYPxcFnmE1yAfr7G96ycaqBLCPHDAP4+LH7/54wx//XS5/8nAP8R7M5nH8B/aIy58fpndpuY1/6B733yEgBLcloS7hzCeHi0FsIbSDchBwONyzSQkYLvkhb3WsgJK0Zh0O0Rps/NfaYqaAY5Qgl0pT1HVigcc5I2dmxpT2k0DI/N92cQu/ZhSEIJQQVOe3aj2HkyxYM7dqFsjWbYogP51MYWigc2CHGeSvp+oTyksTR1JwQZyDpAQEUeDodLmz+WlATSd9JoQuk9fLoBAxXQWOyeuGRgHqa4QmCxrAhLDwXqe9PqDajx1yv2QfeOhdGeABSoO46898nL9o6zGXRGR0gaJAw4CAiU/O3OkB+NDdpt+5+WNtBgl86NCEVR61PH6xMdeaWgHTl8APQFF+pyhhHnqrtNmKoxPsCm9+cI2ZFDhtKTonfYwa/3RILDPWtkjwYjCG5Yf+Atb4d81T5672Dw4hdMAeG7bdTGRaAO/jlIs9Haz1NRlDUxpdEYj+1CndLZ2OhtYM6yIhmEmNMRBM8O2AVm2AyyAXaTs+AonjSeC7GthUBFfZx4I920viaxpQlG1A6AADypbLN733ddtY0yknIO7RoJAIgcFBrNjpb2O3sDhU3ahURpaDa5iPsxctdZpdBo9aztcSVqmVY++BlEQF/YBTkfKAw5FimJ7YUQ3uEvDnL0L28CADqtCAMG2WVkz7/z1C6OqEvRQENzoX+sBIZ8lrZZSvQRVW9mdDPQ3bQtHJvN/qbfLM7nM//8WR/FTWozuIXGe00nfkXA3jRenOjUiSWT1fzPKtj0G1tkv25ZuMSyTbUfvvcJS0YfVTkES0R1WDs7Ag194jkOhiU22CkpKJW3TXG/hYIbPF0YdHou6MWumbryHKNhYNBn84vpQOGYa06fCZvSaGjSA2QHOeLdmrzVlay2O/YeOk8mePG+3biqskCPJKujl6/jwpttc5Dyi9Yhfba7hbNnLAF9Wc59t6lz5y/gwf17/J32+/qhpYDG23z/TtNwmKVguuuUHEaNNbIZpF+13tXlHQsNFFw5QiPQX+v3aenU8u8BFvXafvh9b74GAAjzCQzXOR3WZWUAUC35TfsDjQ4DWpEy0HNuvPstFNyEm0KjS11qcQM01wpaNtY56tJsaDBm+ccm/aZZVaGgDcnGOZJtp0shhNMlBht6b2rh/h4DDHtjCAZ3H5+WGHNN3GIJ1wdEHbhbVWa+KA+bG904x4pvmyV70xy/VSWLzWe1oVfLmwpjjCdBtkGuhwRe/x3KH6A+iWwK0A83Qe03SYgV+qSwSdskCwXFkq3WZoR5xoCDAt58icErdobdSmMcMcG7000BYc8RKY2vTKw+nN2xwSItgIyPf344R+c8k8xSQNBmidB+f/upGMdc6x4cTPHkltXJ47SHPLJ+ykWuwR8TBu02z6VK5LndfAopfOLRi6iDUE0fS8rQB7jcWhhHLURsQhBFMRSfq6ZOFMUcCbutSe5BVJEvBtu97113RfPbUWO872uDt/aTMs+wvbOLu/fu4HTErLBNzU2yHaPvpg8elhmEK4+X9TonBVDSFriR3juu8NgZltUpDQjusbZTzHOSyhcaXZJ+p647dFZ5IEQcCGzw89lQYcQx3Nyu93TONlXTEgGbcYgo9NQnHdeV8GqC/UOrE7PjKYKWvfdLA4FjrrtbJJ3/UBA2fFrZMC6vHcjO8xx9UtPkWeZLncdMJOxub+HoeACAe75mt3MvtX9zdHTUeA+NY52+CkiWuWveezuV2Ny23UmnsxkuXbb78aPDo8b5HrW4daxOMrTSBDPHO9T4eX/wrU8BAKo8Qz63z1AYAVv0YwdVhbl/VmiXjipc6dsEfFVoCNKxbG2nyBxBvAiQuy6N9KWzXMEBKaLIoN+1+jEbzjCgz9SjLhVaexL8bFggajRPcKXNPXbi3H4qxf197ucOJmg5H3yYYchS235o3/soJKRg7MNUS/t0p1e1PyRWvEIjce+STrpqNkSpbYYQDX1tBNNqf8egLi9t6lWj1LR5DwuAl9/b+nZqpYvCpix/GsAfBfA2AH9aCPG2pcM+B+DbjDHPAPiXAP72ad3PWtaylrWsZS1rWcta1rKWtaxlLWtZy1p+f8tpIrq+A8BLxphXAEAI8UsA/jiAL7sDjDEfbBz/SQB/7o2dejkTbzzCxEam7fu/8eXrAIA//6arHplVbrSQSRvpFFqhzYylYXlZFAoMSa4bbXdRMatsphkkCVaLRCNBvHgnoUbsIpVB4HgvMckLRMpGVCtGfI+gMXaw0rxCTJhj1A4Rk4TeMyYqgaRnv//iV26iYLZha/8Q5xgt/3Ji3/vQ/gia0eFOqw2HFA3C0JPxAjVipIlMcIFXpRQWSn4A27rYpxXqMsjXAhrW31+BphD1fayWZoRZ1KiiUythdJnY+vxmIXNqP/+1L1oi5P/g8QtQrj9sN8WM2cZAK7TZ5lixvXAUCoxZNhHudFEy6yemGQTRO1li0KI+Oai0CTVSzoOARBja90eZRKjssRVJCAdCY8JIf1YoJEPqUzdAWLpfQELUSqDLbNPlqg3Ts9mJ7U4Hc6Ip7pG88KN3R+gxK7S9tYmjI1vyOM9y367Y64ioS9qMMUiY3c+yzMPDMypkkiSolCsNmDWGOUDgyPp1nSGvyxWX5kQ0XruykaBur7wIm61fn16yW9isRYOsWp+A/dqL/8aXXwUA/MTV89C0TbqbIIcdV6kUWpxf47JDkcDesc3IbZzto3Bk89O5R/SVsUaLc+2rtbT2JRotGUC3XcYyhCzssXluzzULBPIpyxlzBXVss+dTWflytYubbCSQl9AsNZE3bmPMrHwJYKtvs+Z3aMc+OsihNSHaUmA5sQ3UmWkphc+CPvnkk3jpRfvcRVGIPH+99uaNtWEBrbMMs2ggvl4XNo3GuRrHLqNQH7nU2f6H3599/9epTz/52AVUrsQ4TZBJO46BUoipT7JNCH0oMOJct7d7KFmuI8cZRGzPq2KDFksI3S1IrRG5UiJImMh+MJ4FiDoOyexsExDR5s3yCi3qU9QWCEkAHqX2XKYSSIk8FXv3IN9lCeaj+/dx+65tDlISSfHBoxE0my68+emn8NUXngdgbYVDPZQkS7VE8o1MJV9L2chkr2o80JjbMAy9ztrW8CsUuIkW5GCFYdBoTuHQr/XnpnlvxpwyRpDXXTCAJ9fh9z9rx/InLm972xSkKWZEQkhVeV0K267cGBiwBCfZqnVJjGu/qYwMEqdLvKxUBhF/cSQkIpY6j2cZZNseO8mJQodAQX9tOqvQFlxX2xIhwdHSEGlcAhtECpbXb8CtMhICAdGrN2kzP3k09z5NEz3y8Jk4AT2xP2gZyrWAUF/MikM2x33Fs71gb1bIQxexk37Lv2v5nz5n9enHzm+icvrUSVBQn4KqQsiHKyS6JYgEJjP6Vf2ef07bWQkQRZGHGhuRtReuyU+el2jTH54VFXZpT6azHJ/es3QUZ7mOhVsbuBBYHRscHWODQ/emloSinp3fsv6RRgBDJoXD4wT3pbUtu/fuI6R+f5XojQ8fjHE0tNcKZI0aNSZoABg4Nw7JBsAI6UsFozj2pWduroWUOKYPFoaRJ2N36yrPjNx/z73XJC5fRFF4ImzaTFWV2Oa+YjadQrEs89rjj+Nzn3sWZdksc3vEsoCObb5fv/GBL9nSxR+/soOK9xa0a12SVYVQndSlgjYk3Owg555uNs4gE6JSYoOECLi6/0sFSb2KpETIUtrRNENM5ExW2msNYWCol5N56SszkrZAQM4aTSSMLiV6pMoJv3AHE4c4DgJEHXveu7RNnxjkMMrNb6N0cdXj37Ax8/nco3+iMPTz68pdx5MJ5kQ5LZsSV+bovn/yMo21y6ERhcSchPcR0XWdTh9DUukYo3F4YHXXlteuPPUjkCYi2/4tisL/7mbl0f/0WRuK+DOXtxCxSQ5aKebUpTgMENBHcT4OQo3jERGl/Tb2pvb1IMuxw3VFRwq7iX3tdE1UxjcGCqQE6F/lEoi4zrljR0ZhTrMwmSu0pZ3/tB1AcNvl6HLKCui17Dp3fPMWjvn+YxBIevb9Q+rSZw7n0L6ZQaNscIGs/2TjnGXRtJ/CoRr7fQxIHWFx687eBI2HqbZBon7AltZF/pWNtXQBUbfCB38dZKOT0wx0XQJwq/H/2wC+8zWO//MAfnXVB0KInwLwU4/u1tbyP2dZ69NaHpWsdWktj1LW+rSWRyVrXVrLo5S1Pq3lUclal9byqGStS2t5Pfn/CzJ6IcSfA/BtAL5v1efGmJ8F8LM8dkX4TjSI+OoI4flNiyq49MRZtPs2uvm5F27CMLofJRIZM0yYklPCSAQ8VmQ5BDOErc0WFLMvQa7QYrbA1XCrsoJkDffkaI4ZUTVIBAwzTEfMElXCQLB1cmhaaBOlJcLAk99lY5uDVJCAsm92Oy2k5L64kLQR8Td/ibwHn52MPWfSeDxCwij+pUuX8fJLL3As+dvD2Ndt26hqXT+7nAc0kA1OiZrLqlkHbZqE3060AVykHE1yu2beupFJb1xxkV+pgaB4BLJSn5qt1wWwirPjAvXp3NVdpERFPfvibWhmdVQsAOqTmZCLSwSA06c8R0h9am+nHrUSFhUSohpq9kOFgO3PRwczZCS/RCwgiJIZECFYwUAQpZP0E3SYUYmCAC4RMRtafTJBgE3WbMdVBnHPEjq/aJTnmPgAs6efLkqcv2C5f0bDY08wH4QRlrPeUkrPwaW08tkgKQUk9aXds7wV3d4GBkPycokG75YxUNUK1N4C8OYhWWpRcwXYvyHKslxxoAEeIUfXCV0yGpBBfdPGAIacEHHoCdc3iFy48Ngu2hu0TV+9CUNEZ5AEmJPbS0xpd0SAgMcW0xlKMnun2z3/LIelRsLW1I5nBEojJEfN4HCOalzrUs5DBpz7otBo0Y6hE8EwW32+38GENvLg0HKuRXGEKTNax4nE1dweeygNQs7jZznWXxjP4Em3DbDwMPMZiwmDHY5GCInQ3du77/mM8qxaiXRYxDzVyNMa0tbg/1ggEX8jiI2le134r8EbaW38e5FFfZKmtn8rkF0Nm3thw9qmq4+fQ4s68vmv3IR2z1MaeD4SQZLvtggQkUvLFDkCugOtfuK5/aqiQpwu6VOlEHXZuOJgjvmAWf5EQMR23oa5W+s0AmYsE5V6tEUS140FxrRNQkrk1M3Ht7owX7RIkC8bhceoG58hx8TLWe4J3b/0pS+jIAl3f7OPsjwGAATkz7Trdr3eGE/SXAInUuRLSD/qS7XA8/UQpM6Kz60dXDpmIYO6vG6elm2S5qReA4u6bV+fZROQx66c8bbpsy/ehmLGOWwFHjWS0za1RIBwg2tYkSEwzOpvd/w6VxUVUrfOkaNLVAox7dXxwRzzsbUnIhIw1KWRQyIGgOE6l6oUHepSHNV8rcOB1aUgDDB2CLONFvp8PZdAi7buc9qOx3OTKWq78TBE1MlxWhCBhXWsPvR1EFlNXfi9ILAWMuGOy7GBvD+B3Pv65aQ+vTG5QHTvkwv6dMsSwAMwqYQiX6nTp1RIgOhNVAVK6kDRT1BSD6XSSNvONtF/LRVioulfuHGMrdRe7+l2gpxcbx++Ye3Du8MAL1fWT7+608V2l8jpOPTE0PcPrJ/STQK8eM+ue2996p3QJNU/moyw27J+z+e4HpePXUH0FUvAL0XdVEZogU5nsaHLPMvQ5/M2Go89et2YGs3r+WJN3YqlrBRWcuEajRM2ZFkvvO2pEBIRVzSIwlPy3O3ubvsGQ6+89DK00TCPyAl/qG3yptestK1n2FDg6sUdtFnp8rsv3oZu2CbHXVZQlxIhkW5bHQxUiYqIlO5m4issylwhiZ1tog9ZBJ5rdnA0x4xIHoTw69yEPrgWBhXRYWmvhW7LrXMRMtq/6cjaplYUICNasdVJsM3XIwkE9OM+x3t8bjhBbR+ayDycNEONSgII4f3fJE3R69nfv3ff+vtpHPq9ooDxTS66vR5GRCOutn/Gr6t2TRTuXYDVCG6f8PSbnsIXv2SfgygMUfF+LAn+o7NNq+MDAm68qqr0HJ5VpT3R+0X6TG9/7Dy2qR+fe/k2qsrpkkTAqgnFPXYaBBD0iSNT+SquVi/BmAi5NAyQ0AY5vtusKJEQ7T48mmPKKh+EgOR+bsJraACa+tPqt/w6F0UBKqIVh9SlNAhgeI9pN/W6NA8k2vwdv8PvfGHimhrwKn56V6HTFVZXXRk4UmGnP4PhALXeBY1jBWAaezC/Tjk9NvVrGdb3YfRq27YSdS3wRtbN0wx03QFwpfH/y3xvQYQQPwTgrwD4PmNMvvz5SVl2/B8u9wf2gX3+9iGe4KKpK+OQz5CVhqGSua4lJomgD60SRds9pCzjmikNNav4uoJxHXto8EIZIHcErO3YkyPmsxKKXTdiLiYzqRCSSDrYiJHSqJXzEoLGGywpKkYZug66P53jrVyYrrXbKKlo7+Em9sr2Dm4PLcmf1kBBw7J3/x6uPHbNviaZZKWUhxgaUyu0XVsWnX/TJO0Vi2PfDASZJeK+xe5X2pcgWlkR4FrVGWaZEPhUxDkVovHf5r3Y9+8eW336yv0BrtFhM5W2pZ0ARKmhGbR0hJg6CqGPuBHc6iLiXE0rBcUyx1lVWSZeAGlCKLmQvmtmq5ugxY1ePiswZhwiLqhPApDUzagfowV7rmJeQZD8V7LBQjAvcYabcxWmeE9ljd9RmYPVkfgDhPv/0+MAfTqpgdSY0FDa7ikMyHDDopXxHT2VMkhbhO7mmYfgO4dtPp/7DnCdTtcHqbP5dLU+eJsWoF7slzeLVsrCmZClDespFgTVIqzBbpYjCcAxdysDVHOrC/O5vbeX9ga4ym6Gpqqd26BSvpuq0yVEIUqWLlrbxGDDvEDAYOu0KiEYJGrTRsVSIsuoH60YsWsUkJc4SumEs8trJrXvKLSxk6JLXToeZRAM7mfUWz2aY9fZplkJGZLwud1GToftnXT+NuIYIy7IdhGtFz0Hq0/bVmfmsxl2dnb4k0NM2AHV2qylOReN5gILHWPlkj0RS3+XXjvbZQwDlYvXWBQH7379hihftxgAq3I7S3KPzulL945xlkSnptL1d8tanwo63u0kQO71aQMR53deKpTcJMyrEtLZJj7r1jYxeNuOkPC8+ayEomqFXOvmUAhom1obMbrUzWxW+aYJrjxgOpojZqBjPprjGu3UmU4HQ0Ly30EY/qfnCneoFwYGUWzXzYOD/YWlw75YJjFtJFn83DYCqH66l52oRnD/NUpWWaiy8I3mf4SsqQIEUJfMuyTSQ8nzH4EsbCCbQbY6MPJgZDcqL9w7xuVNOi95BRFwnasUROg2OyyfjgJkLEvtbG8gpt80LRQqEv3Oq9KvAdxLQ0LU61w7Qov+VDYvoOidunJlGUto6lK8EaHjGgHNKx+cd7o0H+dIGNzKRnM8zi7IVSfx4/tOliL9Shxh6BrDLPiWy0HIZVnyQ1c9pquCX8tdXJeDbAtlI2/E+WkECRbKJ78Ra97ryz12IHzxYIxdNhswhQJkXdYjXQMUp09xiGrEtbzXRsoS+WmukDJZmBUFpoHrOM7gBARm9MOvne3hf3zxAQDg+y5sYZuNXN5jG7vi8w+O8M4zmwCAm7HANZYAHQ5ztNlZbU77qSYFNrmJfOXF69ilTm5vbJAoAPgOliP91niMkPejdKPzZqMzZzMROJkyCanrjV+RZ3Dz5xpf5HmxmGTxshx4b6yB9mr+eCGj2rfVqlEeWeverVu2EGej10PMtbnd7aAYDHF6Yhb1F43Ec+P37Y/sPbxwOMY5BzYoNAxtEyrt1yvnN7XiEDMmYzpbPQbGgXmpUTLpk1Wl7xAYcr4CCOQ518p2jJR7xXxewE16QX9TSQ1XbxZvRGhRL8u8QnuDPjj1tpwViLn/m47nuMTmAdud1K9CzzBD/StxjFHhmjUtJ2Hsa1cqqLWuKXyq0ieCJuOx77B4+Yol8+/3N/Ds57/gz9ukHTl//jwAJhlPzIGpq66VTXYCNnCrG828AOALX3wODkvRShNMmPwvywotPmvT6etRUXyt0qAokdJ3KWzKXfoPv3vvCE+dsfscWWhfGo1Se+J15zMFUQgwGSeD2NOyhGHo/eLj8RRhaAOyoYsPBAHmhdOlBCnHLcsKsGLWd6XMYWBoa9KNBC3hdEmhxfiAayKWT3IkE35vNMc5UsbodgJBn+md3HP+ShBirByXTQiXgF8eNx7QeG8x0bq4N+bnYun/7lxMTBqjIRa6YC5do1lKuTJBIxr2LGgEzVYcukJOjYwewGcAvEkI8bgQIgbwpwD8cvMAIcS7AfwMgB8zxjw4xXtZy1rWspa1rGUta1nLWtaylrWsZS1rWcvvcxEno3OP8ORC/AiAvwcgAPBPjDH/pRDirwH4HWPMLwshPgDgnQBcP/Cbxpgfe51zGtcic+kD+3fl7zH4xz/5AwCAo7vHKOYkdxMVImaSJFEOOi/RdoS62qDN1p6jQvmysq2t1ONK5mObKeiGElHbZcQNQmamNQxy3tPedRtBnm3FyJlt1ELi6rVte73DKUKSEQp+rvZKvLlt0WjBnfuQzEZcHw7RYrT5P2VWZpxni7DARuZWOJQVs6Ba1VkeYxrw6AY55sPREcvZSayOrDZLhpZLAhzEcSF7vvDl+hwUbarfNcZ824orfc0ihDCSpHmy2VaZn0fhyRI4KSV+7id/EABwfOcAJTPSoamJUhPC2VVeocWIeqENWltWnyZF3bp4e7vlYaAz6k0rEB7+Oi+BaOT0SYPgHdy7YbNbs80Yc5aVCSnx2NUtAEB+PPNlQ4IZgrc+AM67sT8eoL1hM/Y3BiMYZu/+E85V0Er9+L/00ssN2Lr20+OIK7VWCEMHDy49sXgYRj572WLL7TzLkLiUvrHt4QEgn889waissTt1BmEh49cUs6Rf7uCTIoIARhtoU8GYR1t3JoQ0ki3r/X1KufBMOmRkFNmxLooSP/0T3wcAuHfjPgoiZRKpfFY4cFmzQqFDYvrKADHLZ6eFQki7cGanhYrXng6tbdpMQ8SEQucKSAib1tAoOU63XhnY826nyJhlKyBw7qLNdFWjDCFRGhEz5q0v7qHHnxlEMeY0IePJFJrP0v+ZaH9LnskMks7RnB9nQs6dO+fHrGAL+SAIkPH1aDQ6CaR5aKmRWG1bFhptrMqKP+S9VW29G4gurbLTsU0iXEJ4mIdk9Wv5uT/5hwAAt1+9i3xGNGWkETFjHRAdEWqDDkvoK23Qck0Gipr0dne7BcNBn4ysPrUiiYT6NK+AcFLbJrd63HrF2qZyM8aUaxmCEE/QNs0GM4QtZrp5j+lXBnhqanVzFEp0djcBAOqtb0cxsVnt//KOzYfNyszbntFoiONji2RWSiFkRn+D5RrD4QAZkZRhGHoEqZQCSjtUM8dc1mS1Dx9j0Vj39In3kjha3TRhBUJQNNZpKQS01lC6gjH6FGxTiBN2cRW4q6Ff/0+uc3u39rxtCkKFyNkmZrTLvFrQpU5Tlyi7Oy2vHzPqTCuUSBySsDKQfN9Ag+As3H7F+k2qH2FCXeokMa42dYmI5ZBr8ewTN3DW5XHDEIK6lg3Hngj+P8sd0qxRSNDMLK9EdL0Bf3lVUrxZVtSUBYT8a9mgr0Gob1oXp2CbGmvd6otj1dj97J+ytunWq3c8KjQM9Ql9UqVGnyi9UEhMfXOnCh2uQ+d22rVtoh/eCoUvZ5wrgYCl9Z++fYQWUTLnuFBNeyFefWDRZmfaLbzpCeuH56MMKcnG30Qbc/u5EZ7asp8/+OqLGDp6gNHUl+H+FaJpCq0xm9rmT0VZeP9FoEZ6N5EyAjWapiaur9cnjwgTwn+uVdMnXS4Fc+PeQB6vsFP2Qg0ks/8qkeBxBEdkUhQlAilRqfJ0bJNwdBgPsbf1Dbsv4R/8+PsAAPdu3kfO5z6IjOvLg5A+ZgrhbVNZaUgiice58nO304+9Lo2pS3Eg0OWxWQmoyZyXNo5Nxq9zsp/4ckQhJR6/anVlOpwhou0JeI/VJ2/irKuqiCPkRIrNZ3NEnIe/Mrd/C9Xc02k/dwK1772SoqOB7Iui0DdzeM973g0AuHHjJoZE6BVFs5BKoL/B6idjMJ3a36yb+0KKDAL0uvbYKI4xIPG8IozLwMCuOcDOzjYGXKOb9/uobVNzP7dKgiDwa36tVwL/5E9buzTbO/Q+k4kVIkeF4uxSg8rBKCBvWf0ZzApfxXXtQq+OD/BcEhqSCOJ5aaAa65zzFO5Ql0wvxoQ+uAgCPMH4wHQwQ0xdEoxhlJ+qdQlxBPAestHUo67/L3M7v1mTwkEvF8+tQFkt7O1f67lsfCZDb++kMGy8445pVF4AOEl43zzf8prYjBkIQJ3UeQ39UF061UDXaYg1iuFrbHpxUskbExWHEf7q978HAPD/Y+/P4yxJrvpQ/BuRmXe/t/bu6u7pmZ5N0zMazQghtAMSYpWF2R9gYxsjsIGfecbYfgbjB7YfxhgbDPgZY4FZbDaz6mGBhQ0GrHW0zIyk2Zfeu2uvunX3m0vE7484ERmZN291dU+VprsV389npm/lGhl58kTEOd9zTrDTRUKdXyUBYZ40ObVYwBCQwSIoe2hvEYXUYxhSfoEy5aBKADA6b2m2CkGGBxEn6JBQxkRtXe2MwEhJJVGCudtnVRs4x4ByTMzRZKy9Mcb8trrvsWYNJyhXQafbx2UKK/hRyufFZpp48exZemYJE7aSMV6pNnLOLeVVNNnaA3saFZFea4Kun7nI/u5hHXc4EzZaTFpGuVqthjtuvx0A8PQzz5ljU0OYMB9wtVTCP32rGjyCnZ6pxlijQVYwAVnWIy+DT9RSv+yhs60mQyxgGJD1qsLU+TFg8gAsz9eQkDwlYYweGRpi2na5n4YXRXGChZOzAIC6z9EnyvasVtg7AssrbXXdhRYWiULdHYywTeGY/7Kk/l0XMSIyol6+fMkYrJIkMZTeMhlhpJCoUv6J7a3NTB9ro44OLwrHIxOvnw23sBaZUhjjaypGOWNrpiKdzB1jbcsbahk/PEMX82khZX0jEwseG9zsL3k+vu/19wMAgk4fknRLRVfM4RIgWfJKHJz6s1z20G0rWSqVfTWBAxCQLHLPMxU+j83XIGg/j2L0R9l8FiudkQmjFUJi9rjKH8ISgRENznPU8vaZLczsqm0zR+dxB83+zu90sEPhmP96R11/a9QHdGT6RB9k9Uir1UKXwmRnWjNoU6UpyZjVlXqQFMjmBbAvO2lYMCiqyJjunLI9vz/F4Rm6SHbtQV4j07zJtlaDMr73DQ8AALxO39JNNPH2malMxQOOgHRTqeJhl8Y65jOQikCJdFOCNK/E0fkqIprgIxHo0lg36lLYfHdshbkJLJ1QlP6Gx9Eh4/0cLUB3L/ZxF4W/iUYZC8Tpr95xCs9dVuE0P08iFFUDnL9wDgBw/NgxvPDCC6q9ENZiUBtZBLS8MM7SirrMyqWXMYpafanz6zAGxrVR36L826H7ukquVc1MyjT/SaINKvZ9pTD3K5fLCMPo8AxdXqDuW5j/otgwoRfZAffxjz5fVcFknT4E0+MfVfP1JVDSTkOOUtmaN9H8hXkMI5pylMjoLRhLZWmuYpxGIhLoaVnqkSx1QsBLQybvuFMtABrcM3neZikH2OaT6yhTfqX60Xks0fga9kfYompUP7ZBYfvhwArHsCbkBwJrPMoYy69e3WovaPliduXQCahjDkc3FTh1WHrPqdA5bUol/N03Kt3EOgMIM9aREb7EUSWnDjwGeOp3s1HC1iblmvGAUW4eHkEaZ/CxhTpiyksYjmN88vKO2k7zkd1+bHTTzjBEY0HJxZ0zNYQUDvTKBTWO7T63A0npRPqjHpZ1nqfWLF7sqOv+M2rXxqBj3HScM+MgLAUBxlStWmYMB+l4o9+rsAxdGV2RqeTJ0+2Zbfn1j5UnkHGjj3zfN3OyAY23diW9UqWCCuU445yjPxggHA8hRHLwusmQF6YZ7CZzc2oEfgl/9w1q3sS6g1Q30TgXBAwNCplNuIQkuQ0qHnZIN5V8jp7OzaTn4BIIyKixPF/DiPSRrZuGFErd76UpI6JEYJHmTU3fQ5ec1zM0B2s/u4H6Js3XFmfQIlFozi3gSlsZg/7VptJnm+M+0jxHEjWaYw8GdvVL9bye55nuSZI4rZ6YxCgTkWNhcREAsLPTNmGr1WrVVPDc7XQs6bFyMNNYyjwvrZgtpAndK5fL6JEzKp2WM/j0rVXLARaXVMzw2bPnzNuMD1g3GUNXfhwneJ6HWl05YUL6FsdhSvqo11r4f77wlergTh9DGutbVCVTehKM5uDcAyo6JN4HejQGJQyIdMgmhdRKzpBQjtP52Qq65NATUYLugEIPyT6wvj0yeikSAsu3zQIAGp6HLjkbWyRLm0+voUWpcWaW5zBDOeOizgBdsg/8FI2DV4Y965OyDUVXMy7bmxkKSQWFhBfbuVP8PrK2hCkkhnyb7Pm+dZ6QyVRZOszQRQcHBwcHBwcHBwcHBwcHBwcHh88Yboiqi9eMImOjbVGcMAymG153xzLq5P3pSGksfQmdn4gE1Yiou00PXfIIoTMyZtracgvtLWWRr5B3JIRElZywmxtDzFB1oJhzcLrLJiXrDqsllKgSgmDAyrqi5lcEA9O0SR0mJH1UyPLeCssoEaXxSLkMnaJwM6Jwj7NbqTldxgA0CyANsdEWeiFSz7ecCP/JsWMkcgyrHLPGbEf2d4ZJkYuNsEMsAaikdbYn3fYSHia0NToNCRoMR3j6WcXkmpubRZsovqIgrPP1dx5HVYcdMgbd5zokLBEC1Uj9LjU5uuSxHnWHYETxrS600N4k6r1OsCsEauQ1XFsfolUntkDZB4jyv0l9mFQ8eORkkwxYIU91RTIwkhdB1O3jl3cxR22rDkNUSQU0fR8xyfIF8hYNR33ccbuqJ3Hu3Bnol8EYQ5UYazoZ8Wg0QlwQrghIUwUnMknpGVIaKyyvdvbj1V5PzyfacBxNYRMWeeAnWRkajHNTyfTAkUn0jAIvd97bmkDLzGtPHUODQl97gKlWKbn27oSoJWpbteZhl5g0UX+MCtMyVlXsKagk9ADQTwRqRNHf2Bhggej4ohyoWEYAG+Q1DGsllMizKYXEBjF7RChMWJBPsoRRDI88TxiGCMibtFytIKTn3xoNrP7Q+khkVUiOVdPpdLF0RHn/qtUq+uRtDqMYJtTCdLMEdEBUxtODvWGqY9KxGUZHjglm67+8V/0zBRNSNZ2Wn8fnnVpGnWS/Axh9n2h2EyQ8umy5xdAnpuiwMwLou64vzGCXvMsVS54qNH6trQ9MhSnuc9ON2/TtxhUPPsmshMSVDSVPFXCAPJmCQo38ra6pEjmPKkozswBUsY5Zqtj69FlVPThJBHQRguFggJIJBR7Co/FdGL2Q6hspLN9eprKQxRDM6CbNzIJFyeem8Iqu4JQmBwAgYggrRFZv5zptgATSRLApJX8chsQEOSyWfcrqUE3LVukykOnx+plfd9dtaNAhbc5N3+sExEkSoap10wxHj+Yx/U4CEBugcXQGXSr0UyG9MUiEmTetbY5Qp/AOP/AgqWDHNo0rcYWDxylTZpVkyROqyAoAJMQCSnaHmCeWfjWMMUe6UpYCDKntW+N++uyZUNT8vOU6ka92Z3SWsPSNyB5jztMXyYWl6XBE+q6bjYYJ7Z4MYfoMRWtkxrwiRs7kptffdRuozAHaLNVNeqwDk/BIx/S9GB5FMrTXx/BIt9Tmm+hp3UTj2zgWqNK8aXV9gDqFFgUlH6eI4fAcMRxqlQAefYaNkg9B49el1R4WKbx5l9oz5jXcpmu4jDmOLKow+/raGiJi3rfDoekF/X/ueSalA+ccPl03kjp82kuZp4yZFBbT2Q9T5tDmm5aT4wPz02OlgKA2MN9Dv6vmtpqB1pqZS0MtGQP3dDJtH7VqDXG0j3ph143cGqGInW+QPuMb7roNda2bmLXGoWMkgJjWbrzJEJJuGvQSMJ2wfraG9VW1Dpuj8agXJ2D0Sa2tD1Gr0vzX5xAUDLBN15UlD2WSOyYlVkjGdsBNmJkk3STbA8wR26rk+wh21Dvww9hUzN404YTpu+VMmqTxi/Oz2NzazvRIkmSZe2mlYIYxJWPX0RVRGJoRr1xJqyy3mk10KEk7mJ14nL5PgVS+WMqKMkUNbEiYQjXHjh834fyB71vrg8MA6fOCpWkiBGJad+kq8eNxx4zBn3fHUdToxDaDCWfVsjROYvgU8j67VMaIEtNHnRicnqm53MLqpp73qvN6UYIyrbV2NkYo14h1HvjgxCDcoirrcdU3eglguEL2gTI4QLKbUHol1hljjsa5SpigSes9Xq2YkMgrQxrnMlEwuf7ab0RXwfme51msYmttN7UglDUvK9xfNAfKRW1cYySiY3Q5ODg4ODg4ODg4ODg4ODg4ONwSuAkZXdqTwYs92xnj/6SVchyOcefdxwEAl8UlRJS7IdGx8wlDUKa8FIMYzYbyAm0Oe2jNq3j1lZVdnSrH5C8JKiWUdf4rEaNE+Tz657awRhb9hBLJnayXIChJa2mhiUs7yvrvh8KUEhUUd+txD10dBw3P5Bf5bxz4WSrb3OtbFlsDu38KWFrM7ib7vMRi2NjeXssDaXl8U1ixu2zK/gxDIuspgEys9tped1zVyPzSoKzcDEzlgqBNJjk/JG67TZXkvXT5ktoi0rwqQiQ4/YDK5/XME2cgSJ4ikqdISNQCtc0fJEaeNkYRWvMqVnx1pQtODIEBNaFaKaNM78FjCUrUJ2sX2xgRC8ejJPdHg9TDXmk0cbFN8hRJwxBjW8rry+ca2KFEKcs8QEjJJv9bycMPnrugjqVcPb1eF7s7W2obJEqUr2E0HGGomY4mmalANFb3YCz73nVMP6M8YVIkaex/VhCt89IXrxlh+j76usXMQuvOVmJXZsmkTA6rpDFST1LmG7D0ELPkHYCdoyWOxrjvtJKlZ586h4TYC6ElS/PkCaqPJQLKNbO62UFjTsnS+Us7CEgWRtTf1WoFAd2HJTFC8pSvn9vCKCSPJBXBOOF7YCRr5WYZF3eVLAUxw4i8KmKX3sdsAyNSgEt+gPZAebE+XinhJ1d30/4AABEbFgv30mcWxuuokt8C6tvZ3Nig05kpmV2r1TEc9JEB97LyY7p6H0rDLlFsO5P2yEFYKpcRatlnDB7psYPM6lMI8zwCkAX5ujSsnAVxEuP0A3cAAJ5++qxJ1RjR2CMlB6UugT8QaFHuio1hF3NUNGN1ZdfoJp0VpFqpoETvhMcJSqRjVi60MSJWhE+66ViJARHlwWxUcGlXvT8exikbekt5ryuzdVzsqN9enOAI3eP9zz2HX6REwA8/9CAA4IUzZzDoq/Hv8pXL5l0FpbLFOiA5YzYrZpr3Ms3FlUn9Z+f5MwwBgaCkvMEzLZWLZWNzyxr/LAY1YDzrpryGBGDnpNHFPzyPPOiHJE2G7WE/U+GB1m/1zGE4xCtOPwQAePbpc4iIyaC941ECkAoBGwg0a0p+lCwpuVpZS8e5EY2T1UoZJZ2MP0lQpvw5SpZonKtoWQrAOMlSuYTNHnnNQ2lkabyh5KS+PItd0kEl5mEslM7/IOf4mcs6h6TNjil49iJ2zB7Q79dw+Bi3mJg2G8eaC7H8OIbcPfPtyeZl6nY6qNVU/6q8l1pGp3nvDxtFbZ9kNIfhCKfvV9/yM8+cQ0RjXUS6VQiOJsnTIjzs6iTL4xFmqUDUlZUOOLF5RzSkV6tllEkfcZmgTLmHVi+0MRwrvbdITI5Z3ze5wWqNAJc7Sp56vTFuI13YW1Py1GQMbWJv9BKBuUuXAQC/GwT4N+euAIDJgcgsNkkcJ2g2W/Q7QqWq2s6oSIsQwhTCspkRcZy+yzRKQyDLfrd+FyZ4tuQ7w9hUzzym+Zo6Qp0/Hg1RorxdR44u48yZFwGoQjHjcIxDYwkyALAZIDYDsmCeZ/XxOBrh3leoHF3PPHtek5ExonlTbyxwnFh3ST9Bmb6XcDxAjZTW5kYPZcrHNKRcSY1KBQGNQSxJUCLddPlSGyHNwUu6MEIlgCR9VamVcZnGK4wjlOidDGmcqx2dww6xdObGMTzSXR/yfPyHFZo3GcZvyjAWUsk/AIzG48l5SmbeWcyIO39BzfHn52axs70DAJidmcXZM2fU8+h8sACyjF/rupl3lGOj2pDS5LUcj1MmoBCHPluCkvmi7QxDmqfqfzNnJRHuf+AUAOCpp86gS9EzV2geLAE0mxSttRkjoJxp0SDBrB7nVjrmGxsQE7VSrRhdxESCGv2+fLGNEemlMhXGmw84oPVSvYKLughCmKCs7QrbSg7qR2exs6FkaQkcIfXtUx7HT1/eSPtC/5uJpNpjbMsUXZrGvFKwczYnsZVPb0JV5Nb8+XxfRXm+zP44nTNJq+02G3tqrkrcfMnoPe7JSqWKJEnMQja0KdvT3p/1nDOk6P7921+Ldo8mQ5QQd9xLQyIq3MOIRtthfwhBiU77Y4EK1yOZOjYEQ4moqTM+x5hG3qQ7Rm+LQsFo4VlZrKFMMSMzsY8tatuoF2JMSTAX6SGaPAAbKqGerdVQIaH/cJnjd9YUdfW8XTXDTKzS5200ZzEY6ESBFMKRyD0Gkpxym84a3gfsa9mTtGkUSkxOLulQIaNDq7rIOUez1aT7SFM1h3PP0Gx135XKFYREw2UAmlSw4Me/6HPR6yulwykJYaefAKR8ZjlDsKAmPZ1u3ywGu+PEvDdBC4hqowafEmHWkwQjup/ohehSgvmIwj+CmQpKXJ03F/to07N1e2MsEc12nhTr7aPY0JjrjTpmqcLM040S/tlFVfz02ZHaFvieoST7vm8SDAuRmAGMRBr9bjc1XtqKqOCD5B5Pw6iSOKdQ9YuBJZdFyZNtXE2H5c9jEBCHk4zeK2fbk5mc2pPN9BiuO1FKNCgk9Ife8ip0STfpKKhOLzGK/2glQDBHVeU6PQQkS+1hAl8n5iWDRqVRRZ0qWAVhjBHpJtkLMSDDgtSV+GYqaJJhdj7ysKXfb2+MASXCPEKyVN/uIqRnOjI3gxLtf7bm45coDOCsNZnWk7dKpWRVpZPIj0HVWg1DqpIXeB7qZByO48QkPNX9p+xSext8bMNDFrZuKligTaN560TQUsLz9Bg0PLyEz9KqlpMhYVsLX7t9VrubtLD64c9/FXa1bqL5QjiCGetaHkeZ5Knb7SOgCXwvFKlu0qHW9Rp8Ggsrlm6KeyG6VJxAkm4qzZRR8tQ95iIf29TNg94Yfar+uUR9eHSnjzG9h3qrgSYZ9M7wBP+FUgWcpVDYWq1qEvKOx4OMDEiThH7SwMy4ZyWCTvvPJIEWuYlXZiJmV+zUk7V0d9ZYQvIphTnEFNcQxQUUlB5giOPxISWj14uYaQN7AaxnqpMh+ke++HOxSyFP3KdxrpeYYbvlMVTn9DjXM5WiOqMEusKciLSBwZIlIYxuintjdHKyVJkpp/Om0MMO3XDcDxFRSMcSGUSOtkeIaW7Gm1U0aF71VMXDr1JY0dnhQHeO9bz5qov6p9Yl5n9T+6pK84HhaJTVIYVGM5Yuao24TnHiFmB2polyWX3jzWYTZ6kYkZCpXhXJ+BCT0U8xyl0VEk0yOP3fX/gwOgPSTTSvDscMsHRTaUZVd+v1Bmas644TYzhNolQ36ernFZFgqJ3MvTE6uzRPJnlqLtTAoNYOs5EPHQiW9EOs7ijZeG1TrRVO1+ewdnkVADAueaiRQf9JnuCXqXLjJaoEFsWRZXxIjKOmWqshIKNWp62MDH6pjIhClqRIwD1duTq0erZgLjWRFNqWszx/Ie1LSIkyOTLH4yEyOhJAqVSGT6kihBAYhWm4WblcQq/XQZLEB6+bqPDIREqT6SdlDqnTM33/5z+ILq11GMlSd5AYH/ZcyUODdFO/P4RHSb3HCQOjcUHPTbx61czBKxAmGX3UT2WJUWje/GIDnApsLITpvEmNc0qPLdKxJ7f66FN/s2YNs5SY/LmKj18jQ/35Uc96Tq2TrHVT4dQk9y1mjsnq/FKphFN3KAd+nABbm8r4v9vp5sRNz011qC23Qm3teRUrUItp2+fm5rC0dAQA8Pxzzxnnt5SHUHWR6erCUxw6+fDgzHNKzNaVfPzbr/hcdGnONCIdfWa9Z86bCTwsLc0CAJJRiDLppd1RAkbPrUNCq/UaSnUq4GWNc6PuGOs7FPJM86DKTBktmoNXhwxbdL9+d4y+tg+QLJ3YHmBEHe/P1DFL+1+oBvj1NTVGnxuT0VUKmDQfRcZj1VmYwIShK3ss5xwVWreMRiMk9HKzV5r2PVvvqPAe9ruyrphZU+m523RZcqGLDg4ODg4ODg4ODg4ODg4ODg63BG660EUhBUajMZTxkyyrzRa6ffLOSZl6ZTMJGlOa7/LcLACAt0q4e04llVxZXwMAjAGskKf5WL2KMlmy+xUPCV1XDEJIok9r+mMcCbS0p6k7RolcCFu7IwTkCZfkbYQXIykT5b8C1BPFWGgFJZyjpKkD8h5wT+D00oK6b2dgkiB+sjfEeW2pzSQ8tcP+VHt7vS4qVGq3QqycTreHMoVEDvtWONBEmAdSpk4e05LZTqGxajqm1H8DhtmT8ZTmLOzX4oC+HjCmWEq7lHSee9yU5g3D0Nz32IkTAIDddhucvLbj0Qgn5pUHYGahgeas6lMtT54EIgrv6gQejhI92q8GxvKdDEJ4dU39VHLR3enh2FHyPI1j1MgTeHm3a5J+61IKjEcQJXVeWAWqJE9Vzwfb0uEd6r49KXBkYQ4AUOuP0aD+/7XNHTxH7BtNpQ5NcmRFq9fJ+MPxyHj96hS6Mxz0rTA0mzY9+dL8oGQS03PmQWjKP2Ao9Nlys9PZYfvHNA/GQUN70grYAOnTZRgoplyzlDhK3salIy3MUqj0pVXFtONSYkxJl3cBLFEIZqlWQkgebRZGEJQcXMvSoD3ATJnYqKMYVZKllW4PJaLga71Smg3hU0LosA5UQ5Ilv4QLlOiyR94oXi5hoaE87dVxhAY90593RjhreyTVD6NHwjAym30/MOXOR0RvH41GmKFE5P1+D53dTrafAICniV/TbpaWPrE8etPed4bRarEKzf4CKnUm9AuYmdGha3a574OEzHm7LDaRHfabaXd66ImFWQDAkSMtzAqlsy6tat3EMCbd1Ct5aJLX0q8EZqyLhyECKoQRaz2208Oxo4r9NRgLVCncYbPbA8/JE/diyECdF1Yl6rGSl7rnYzjQoSUU0loOcIz6s5YwNPpKH/3PwQDrnu3BA7Z3dqxQQGnYtpx7ADEOs8wudWy9UUev07W6V4eFTGHb2KFCe4VpmPsgcwyzmFvSsMV4JsxNMz6ESMA5/wzUOrA92fs8FsDy/Kz698gM5pYU0+XiZRXC5UmJ4YDko+ShZWSpZEI3k2FovNoxsfA7Oz0cO6JlKUalpPavd7vwQv1uiHXnJZAlYs1UgTrpphr3cIlYEbs9JTNjmeDtx9XcbosHONlU1/iFK5dwdqjL+NgPX+Tztb/1q3SUlIaxZ+afE2yuaddIE7BPNGsq1EHt3R4WF2je2eviyFGaz66s7uciBwBbiGydezV4OEHzkOWlJha4epcXL6kwQC4lRpY8nZyjsaMaQOh50zAEr2l5omPbfZyo0LxpmKBKc9zLqz14kU4Er9pbDhKEXJ0X1yWCgZJpHxyniXDMSedtxG2ElCpADkM0qA3vH0a4EOl5UzEbQlgM0m5HzTH1/LJeryGK1PsbjUZWwQvPFLxI0xx4OdmYMi/KpHdAVvYYy4SR6dfFSWcGQRlVingZj8dmxsIYRxiOJ9jXBwNpntGkm8gxkwthPf7SrNIhRxdbmJGq/VdW1TfAEokhFdLxagGqlAojhIRH8+LhKEGVInJ0QZR+u4/jNAcfjhNUSJbWV3vgkS54Qt88xvDLtN4qJ6hGepwLzDgXkjyvlgPMEUvdH4ZoEYvvA90xzg91Inj9bNY3lZkTY+/xKD8U5Yp7hWGItXXF4uKcWelvgGxhluy9hJCGjcw9nmVAF8xFZmfnAQCNRh0btCYqlSsmUmSPaLPrBMl60ToWyLIgbfmyDj1KzPZKLUBtQbHQnnzxHABgoVTCxi6FOCfAUZmG1491GP8oMqxSMaCiFu0+biO9NBzFZj2+erlr1maCxg/P88ArqkF+PcDiSMnKQrmG50YqHFHP29bLPo5QJBLvj9Gkd/ehXpQyuTKhi3ZX2Wtsy1aij53YBnAvgBQ6wmlyfi2lXZYnJ6+FsNqQXiX7nvRxGeb1FLbeFDhGl4ODg4ODg4ODg4ODg4ODg4PDLYGbLkeXisH1MkwfFUKammSrFPuvy8dz7qE/oFwxFltoZnYRr7//JADg+x5W8cobT5/FOlfnczlCo0Xen0oZJ0vKIntxdRt9ski3yTvQ2R2l7JfAQ43a1myWsdlRx5QoiZ2sVCAjYg8NBUqCvDutFjZ7lPtpSPlLBhKMLMXv7gzx6Jay6Aog620GlBVUpKWKteW9UqmYHCQ+5SfoDwZIrlritSCGeWK73jbNDWl5lwqSPOvErVlHVY7BYLwJh5Sji3nZFmTyJ5kUWymLBMiUXX7DG14PAPjUE8/iDa+8GwDwPQ+rggfnn3geOyN1gZlWGaU6XawU4PayssRfWt1Bl/ICcEqaOdwdY0xW7Zl62ZQVLpU5eh3KsdVSx0aVKnp9JRd+CDSZ8hCVqi2sUn6AgFg4b4x8w4z5wbUtfGxHZaaIRWIoMzpZuOdxVCj3wXA8Nq89jkLzKj0qnR1HkXlPnNuengwNx9pme1ssj1Vhmfe9YrenIc8wzLq4Di1HFy9lPWjTEhpP8URople1MY+3veY0AOBdDywBAJ549En0SJaOLNThVbUs+VgMlAdxZb2N3ojyRxCrdNSP4NNvP+DwqW3ViofNtpKLmTnlYUr8EhKhvIrVBAgSJWON+izWOiRLxJ5YHCTok/fzP+108WnNvLL+P82bpgsT1Ot1k49Ld9mRo8vG+8chEMUFbr+iQhv5vt4jgeZ0lhefPCaTc66gCQCSw8qDw3yA2TmkEkzKNpDtb2s/V9/v/JGjeMODdwEAvvOBRQDAs596Bv2ResbZVhklpY4gfR9HSDedu7JlGHw+5bEc9iIEJE/SA8r0LmtVD1ttNdbVqN47r9UwCtsAgGScGHmaq81ikzzdnFg48/0YAXm3fz1m+NBZlSC33qiZsVzLCmfAaGgnky1ivKUFHzglJpNgaZ5KKdOeousXM0mR/Xsqocsah80pBd+5FGB0PynSHD5JohIPC5kcUv5AnaOrQPdOGf+KdNfMzDze/Or7AADf9Wo1b/r0Y0+iR0mc52eqKBtZ8rBUmQEAnL+8aXST52vdFMPXRUp8oExjrJIlJXd1LUuVKsK4DQBIwgQeydKx+gJ2SJYqlCdwKeSoUdt/ZGMXTxCTJoysQiSZ+cj+Gb8+va84P3+amN/k+tf0pa1P8r+BbF7H/aPVbKq8YFDjiC5iIpLRoegm3y/TOL/XOD1x5sTvuaXj+IKH1bzpbz20DAB44rGn0Cd5mpupoKyGN4jAw9GqkqezlzbRo3myzrXkjQQEMeNkwFGnXDa1qodVyn809tV7a7VaiJMdAEA0FkCirrFcmce5bcX6O0YM1bsRmETx/3xlG+s0L1rdWLdy/uln44CkeTyDYd57HkOJilhoHSEBw26vVCtGdMbjUOUvtY7Nsiys200Zn4oYptSLBcem+3VCcsY9M88dDVWS+tGoDyGSQ5g3+bnxO6+PcszKKc/cnFnEmx6+FwDwNx5QbJxzz7yIra76FhbnquAVYo+VAizV1Jru3OUttCn/8QxVaBkPEkjqK+kzVGheXK962N5R72xuhnLVVqoYREqWxsMYTJAsleewRXmTKpRHsNSPEFDb373dx9PEMBYQBSw2mXv/minM0jo/iSV/rOBbLPosrRxvs7OzGPaVvI+jvGyok3URhdHQLkiQv3D+3un7OXJk0TAbFxcWcYmKOXS6O4eYo4vAeRoOwJi1RrZybmbGbCX/SyfvwmtPq/HtXadVVNXjjz6BAbGpjs7XMbdA30q5hKMVNeidvbSBHtkbvBJFR/RikCqCCLiRpWrVw5V1JXflhmpzo9nE9mAdADAYxeA0zp1uHcW5LSUrJZqDV0YJGsTG/PdrXTxFOWxFYr2nzKc/bc1vsz9RwKhKjzOFxAoKg/m+bwrUKD1jG2muJddygWxlGIMsswsAhIinytJNbOiC9VEX0NyQKuxGo4mdnR3a5aVdKCVARoEvOn0KAPDX75jDKFJC2AoStBOiwjOGkzNqgJ33q+jRJHudEkaHCXBxRd3DDzgqNLgtHpuFpFz52zEZt6QE89WA54cRwkgJ8q5fxp9vq8XiQzOKfss7PfzaGWXE6EWhFdpVMBmyDV0AGE1sa/UajiypxfLlS6rqhhDShA9YXYbpQpi5UcEm2/DIzab0+jyrsPP3mUh4N0lNPDRDF7xJQ54919dJhHW4pXVka3YOD71KVQ96+ulnsU2J4r/gPmVA/Zv3LGK4o2jBC7NVyJK6xk6UoEZU6COlOrpEHdbJDwU8bG4qpdaqlRBTKOvcHUso02s7P1TU4yhKwH01EGE0Rhwreep5ZTzSU9d9y6Ia0BvdAX7kcbWA7MSRCRsTFoc4FYVUUXHOTZ+oCV9u4gFmFgBCChNekFnUmT5lSL/ZCY410oOLBtSiBUL+GEAtdqctODiEjA83GT09bLNRR7eXDw2eOFP9I61qlBKApwbOt51WRtOvPTmDnS0lH/OzNSSe+tZHkmGhofRFy69is6MGu61eGwAQeD52KbmuH3BT8XX5xDwYTe53aZImYgkvULJUTSIgVvpxVTD8rw11vc9fmgMA1LsD/OQzKqyyH4d7q46JxaRCpVI2MlSvq9XMXXfdiY9/7OMAVDiIDqOThTrP+j1l3Z4dK2xjRM5RYK6To2xP2knNNfT3E8eHYejSkzZkJ/iZkMqib8QK36TxDbwMBErfvP0+JU/fdGoO7U01JrVmKkBAlYISiSYlF50v1bFF8rvZVTLiMR+722qbX/JM0YNjJxfgU57i9RGFRUgJzinkJwwxitTz9LwKPrKt7v2mOfXeS+0+/t3zysA5iENIoY1mNYw0vZ8cS2q40OGKzCTIZYxb47uVwqCoIEQG+iyeXUDuN44wY5jPX3dyuy7q61nFTjzfQ5JIJEl4yMnorwe5D4Ap+Xjr/acAAF9/5zx2t9V4NTtbhfSpGp6AKbAxW6pjhybimx2aK3EfOyRLQclDRGGsJ25fACfdtDFMZcnzSJaiEDHppi4r4aM0b/rclpKlo7sD/PiLKnQpDhiGZKwVUkzMdWZnWuh0aNwVucXmhG2TmeIhSSJyCwNLhrIn0TEF86YphtBril81UyWG5eVjAICVlZVUN0WDQ0xGDxSNw8X5i6c9EwPKam79xferheU3nkqric3MVSECkqdEmoqes6Uatqjy+Ga3DQAoeQGqVB0x9oEuVXFcvn0RpE6wNiRncSJRDmieHYcISTftigCP7Kjrvramvhlvq4f/dFE5BXfiGEyn4RAFThjAGscTqyPSMUcnpU+EQJ0qt4XjMaI4NufrVBBpN9rGi+I1T/ZVXG1hmbsmIaBxolypYkBVjoVQIUmJiA5HN3FftdKe/xRWZCsY4Jn9NzPOnTfdo1KNfOXJGfhUlKk5U0KXChBEEqhQhcm5Sg1bbfXOd6kwQqNcxtqG2hYEHCGNQSfvWIIn1Jy2M1a6yReAJIJEOB5hOFbvuSt8o5s+nwpRzbZH+Ddn1TjXtatrMmuORP94nEFQkQM58a4KXsM0QsKEodA+LB2jPI+bubu0xq4GhVr2+oPceXshnecfO37cVCheWVnBgFL+jMf9gzd0ITdnmmrw1btzzi09Z2IcICfNV7zqdvXvUhnDHapE3ghQq5OOlRxHKHy2Vaphm+bga22qWs99dLbUtlLJw5icELfdvghORXfOtpXxrwyOSqD6e6fXR0R6aezX8SEaY7+Q7AP1rS5+5oK6x3YYArDW9Hl5kXFukz13tFN+ACqU2BrHjCgxqweLnDjW2m5CR02bnO8BW4cVJKC3bT9CJi4ZvYODg4ODg4ODg4ODg4ODg4PDrY2bLhm9QcYwy6Ete7ZxPyLG0nA0tkLkJAJinqiQGHXeUxvKu7z6+lM4uq5+nzh5GzYfexIAkFR8vNBXHp07jyygWVMW1zIxYcbDIV55UrGmuptdVMmLGeyEiCmE4uGWYkL8+fYu/u3jzwIAYmF771IWykcytMMiB0qe2oucBZVBh1LWa3XjsUwStS2JbcsvLMPqpDdzugV2kj6ommN7niyrcSFjS1uQbSutZWHOsBYOCdr9aD+v5dWXImuZllZC6l6vi0ce+SgAIAwTeJSk/XliSnTe/irMiUsAgHtfcSee/vTTdIcEyVhdYzRTxj3HlCd2vau8lZ3+EC0KMx1tD9ChIgJsfYBSWTXuHq48JI8OB/gXH1fXVQnu0+Tuun//l8jKhv4nTSCfbk8ToqZ7hBCpLZ8BDJqlJcw2w7yx78V4Kg/GoC+zclFIl7WZEAXJMSdCIPLemwwlDxlMpeUeIOiZuv1BztsxcWDmNzefA4MUih34/Kb6dgdvegWO0f4HTt+Fxx9/AgAQxSF2SJbiWY4TR5UeqlWVLPZGIwTUB72dvgk3FZtDk6R+kdhjjw1G+NePKd2UDZNL+/NjL1yabPtEyF/umacwNsMwhEfU6z7R559+8gkIzUyVPNtFeY9uXj8WFs4o0ke5tk9LUlp0NVNIwz/kxOGWXFv6WX+HsjAEJe8VJsZBMjLMymfW2wCA3lvuwxFKpvrK++7CY59UY12chOhSSGPS4LhtSYU6VimBamcw1OmzMWwPUSHmtFzroUTydF8wCwD4eG+In/zEWQDEpjFhA+lDfcT0pzSyIGVswltHwyFEwXvTCZQVm8vWXXlPprjKNwhk2H1XG26KmF4T5bHt9k5+Q1pFeh4zYSFxHFnhADcacs9LNPXnNhQza/QF9+MofXuvvP9uPKZ1UxKiO6Rg5gbDiQUVAlKj+dHuYABO1x60ByhTSFi83ke9ot7v3Vx51R/vj/HTn1BsZJF5z8K8jg9pBjLjJtQsYIFpfsn3EeZCoQM/TXBeLpetZN0Wl4Z+ci5TtvLEnCbfR7AYKjJTgCRz4fw8K5NIeR+g06qVMqKQQlqqFYwpjPFwYbn7bV+/zPr+9e6sarX+iBTD46lVNcfuvP5uHCX9dvr03dZYNza6STQ5bl9WyfdbdfUN9foDrFNhlprwMEcFothaH/OUIPqkpxJkf6g/wD//s6dNS0zagGoVIcnAY5QGZTgcoUZMMnRHOXZ6di7LGTfjF2cMwkq0rtchem0CxjCi9yTpGEAxvoSXmL4EFKs+lc38nLyILXG1+YYwoZRhmMqKZpUl/b6R9ZRBe3hz8QmJsZnVE8mn7TmG/fwSEIrR9yKFecVvOY3lrTYA4BWvOIUPPPIYAGDMBDh1Z1f6mJtXcqGZOYPRCHp63Nvpo0lz8Hitj/makqtjntJNH+0N8ZMfewaA1k2TOv/jZ1b0g2UfPDM2Zc9LpjBMwTgWF9W4rBO7d3bbueXZlDmS/lPacqv2l8tljDKpJIjlPUiLvS0sqH7a7XSsqKBJPcAYgw6aWLlyBVtbinmUxEk2if1Bg+YRZm3DmGG3Sol0LmGePzdflXqO4gPEpnv8smr7l73utXhlTbH4TrziTnz80U+pZ5IROhukP+Z9PHhcreeWiQnX7vcxIBbn2sauKQon1oeolVXbHuRqbPxwN8RPfex51cQpjNGPFq7DrUgb5AsY6X8KWFyZd5e/JmAnq2fW3Een05DMQxocI2ktj9y8uuAeKq4720ZzP3ssLEKRvpuOmzd0Ech2gnmMNISgQpXxPC8wAjMaZ3M0ZOKbAXDuZ6t70Xmnjx3Bd96v8gfcc1sD6+tqUcaJ5hiNI8xR3pL1QR8LRKsv10roEeX1h59SYYPnuz0kdF2ZyXGANMzLVngy/WCtxlvnqQYHHsfcnDKm7e62TSWaUqmE4WhIl6AP3v6A7EXovlZutpAVLSJtWMYRa9I3sX/it30PXX1pOjXxepEJDyqEpQQL220rSRQvqMz10/66f/kIvudVShmeOlHD1pqiiEs6tiQloljJ6jiJUAvV9kolQEjGyh94VCnDs1QtcqKNmQFucuCdCh0S5Afm+/A8Bk75c6IwXYTqdypEgoAqCemcE3TAlHsUGKQyf08zXk3ZX1AhpDBciQb4Qw9dLD7iKtvy5/kF2ycHp1cszePbHlQT/uWlACvrSpYYVSvzwcCNgUGA9dR59VrZfIv/6lNKN53pdNP7TTVeFXzzE1XF8ou+YqNZ7iDrydRv3/fTXIKMm0GUUY6DJBHWAjI/WGqZsEOM7CaydP+077lgW4kW4yJJzCUOmoKvmleQb4KlIflJkpjKmsaglUFa8U81NB+qaT8nN3rq/uVFvOuVahK9fKSMK2tqwaBDlTwBMJoMRnGIYKjuU6+VMCZ5+DckT5f7Udo2EZsKfJyz1CBu5XzQho4wDNOxmTFVTRFAlcJ8Bv0epCjSIel4cVW9nNmuLzVFNvOf6Z7nFcnQdOgwRrWoZBCHFR501dDFolsWGe/sY3MylDvu3oU5fNvDKoTo+NFKKkska1wCjAwBUTxOZaleAkUb4SceOw8AuNgb5u6RVrPTeb70twkwVMkZOdNqYYUqsI3D0OQdOnXHKQDA5cuXTPXsZqNuQknH4XhiQaaGD2n9TbJbpNMmHCy2vBb0dVHY0TWi1VShm5x7aO+qeYE4pPyBnleC73mmP+IkDb1nDJZBkM4BIK33pxefnHMrr4ueL9p5U1PD3+mjC/i2V6mx7tiREtY21FjnkW5qeT6iROcmC1FOKAw/YIhpXvODH1aOnIvdgbmu7/smJxZj3CySua/ny/brSwDK+ceQVnw1kAKerysfR9C5gBhSI6mvE/ZImCqHzEoP0e/3jX6U1nXTtCCJNX5NW6ROmdNbx1eqVGGRcudJSGOF556XpjaChDzMeRMPMPlNFLS/0FDKrEe2F/B7hz3dt3wEf53yeJ1aLuPShtIBJY90iEgQRqpfoiRCaaDOq1dLSOh6P/7oiwCAS91+tp1Tc4XqdvOCY1m61pPWeK4dQZzh9lN3AgCCUgm03DQVqje2tnHh3FlzSa2blOFyL0OG+R/Z3afN6RSOLqs+29naNiF4lu/fOoUZ2R4O+oXTDiHCAw5dVGGwzUYdfQqTZ5yjYhmsJ4xs+QqNtnHGhGfrTQF0Di8gAZi67mvuPoH/34PKAHhyTmB1lewDdH7AOASFFfbCMXhX3a9WDTCmDvm/P3YOAHBxt4Ps+9rDWGS203EZw1G+w6cYkyZyI9NPrbempnCQ1jkFaxTbkMWy1564Ru7ehaHKbHLto6Ziumr1dFlyoYsODg4ODg4ODg4ODg4ODg4ODrcEbsLQRcuyV8Swsehy2isTRSOUSsSwKpcwJO+FMgpqJpdmpsTQFlTfrwLkmXlmbRM/S5bgn5i/E4GmbJJjZjAeY4cqkC0xoDtWDKqwGuCfP6282y/uaOaNNIyYvNVTaku+pjD7gbFAJ/lQopynIIpj4xFvNJsmtGN2ZsYko3/hReWBWFtZSWPTpEwrCkqJCZZfhhmU90baXoyC5M7GQwGLpZY7T/+dMTynf8gCr8JnDlfzvE7xQln7PXK9JFbIxNMrK/g5OvUfVpYBkqcRMSVGiURIcjrDGbiWyWoT//jDTwEAzlIiVoBZBvBpbDnLm2zkLceKyr13ESfQoWBJIiFNFTOYY+3qiokosMjbsNg/qcjnPQGWdyKPDIMzPU+CKa9D5ljbYyVS2oRm+hysU3IPTJOP/dx/WjJH0DOon89tbOGXVdQZ/sHnLaNM7yEkZkKUSIwpGXOTAwk9u1edwb/8mPJun6HKP6pZReEBuftPYMrzWN6xqQ7oNC6ITokNszWOkvS9C6mS1wOGESuS3AWNc9TyfhVWvbTbBmSfrcD7yVIvsfH8AygRBX087uMzAgkTVgPGrEIZtEkK2F+G6RApURzWqSEAqa779Oomfp6e8R+/6QQCM46q/UkiMR6qUJcqZ0gojC2otvAvP/ocAOBcm7ypSAwDjQcBEgrHFQlQomIcMYXRSyERjtV1hUhDvVS4gWpln4p2ZGn4uecwj286BVOnOnkmcybE1h7Hci7rfLqAzDieHx+KvOn6/ASmiBkDAt9HGOXSChwYpnmENa7GItqL8VX8/T+/tY1f/KTqo+///DvhE0svIh0VJ9KwSaociGn88yst/MTHVJiiYt5AfYOZZLnEdJCSQvZhQo2SOEK1prYNhkPTp4Hn4UEqHqPZX77H8cwzKuwojCLMzKiUAHJXYKTnivq2QMbbXMjkmqYLp1V53KtAyTUyu6JIzzHiw581MYZqtWrC6cq62jms79SCtOSPc4Z6XbE9er2eqQauU2vQ7CJzNgA8s7aO/0Rz5O9/823WWKfGtz5LwGge7kVjjGOqXr68jL//ITVIXqRE0foZAK2D0qJDmnEVxwUFlLhn2sM4t2ospcUv0rmehMmCzwNLNaTvV4cue5ybEKAkSdJwMautKXtMwqf5fZIkuXlfTmamMTIYM++Omfm/gOGSWgwyxYr2DnHexHK6F9PHbQB2AvXsPIXBMD1NCJXMvBvdP8+uruM/07v5gebtKFEkgqQQ/ShKMFebAQBsrF2BJD1dqbbwLyi07HKvqPJvwdom0/bcb3u8mVoVT1V4HxBLaW5+DhHJ5vqGKq4wGoeG+RxZY4gKISy4oJz4kZ2P22HV1pp7bXXdHKLZsQwwVRU1w2Z+YcEwui5f6KNObNMoio0cj0ZW9MeBgaHbG6BEhQYYY6YarbBTBZkxPEYm8XpmnZGr0CjsokscYKr9j75wAT9BhS9+8s2LZpzTYfJJAkQ0llQ8iZFmdlZn8IMffgEAcJEqBtONzLNk07ykz5j+K83uTNsyxd/oX5utlpn/ErtWp4MQCdJUNdIifE2JjtCQEmBicv+0Yawwsie3Ls0fa60/1TS/OLzThmN0OTg4ODg4ODg4ODg4ODg4ODjcErgpc3Qx5ilr41RmzeQzae+w73uoVJQHpdvtGuttxn4o7RhTneReGKsuZxIPLqrEcT9030kAwPNegDbdo727g199QnkjB1Gcsl6mljst8ARYVmfN5lHWaJvNps4r0fOIOEKTSrguHz+By5evqP1BCWViQqyvqbK2URRmramZJl3NayMnf2acxQVembzHKc/Ks3PITLAtFA4tRxc4vdvr+RbyrBdz5Snb0nv4lNOKMR+vnFPv7W/frfLAvZhIcGI8jOIIv/io8jj3xuM0DwZdJ5s03N4zxZNnmm7vZ0jLwqbPpj19pVKAsclvZ1vcbQ+B3YQC95Vh5kTW+89ew2am6Xvr706KNOm08jbqY/PfhXUv0970mSAFhMo5caDuSZOja2qetMzRaXuKr1ZwnsCE6pg4luEBkqXvfoWSpfOxhDSyFOOXH1cepN54lHv/RdiLsVDEVMlfS8uUhOdpr70d05/qsVZLeU87u52c/Nh6QR2ry7NHcVLQ30Xt3YtVk3exKgS+LgEvVSJ1qGStupBHkgjjSRfiMPLg6HyU094Ns14fsZ8mkpdaTKUJv1a+XwoYuSzAQ4ukm+5TOQWvJEAcKN0VJgne/VGV0LlvJTQuZF9eLdG6xYpiPPVCN5oNk6R+t72Tfa58ezP5IqxjuF98fKZ/CpBJpmqdX5DTMpWgnEcyf+zEWJjV3YeXo2uv/IHXiYy+neI3tTzAD5Isves+lbdrPZEIiYUQCoFfelQxAnVeU3W+zmdkvdscG3OBEknrXCybm1s4ddedAIBzZ89jbn4OADAz08LJk2rOtknJkY+fOI4rl1Rp92eefsqMr+PxeIIJocYl/a3li6PkZSL/fRXJxNV8zdf2vurEoGjNzGIwUKyqne31Q8sfyJiHmVn1TjljJgfuOAzT3IqF40W2b9LcU7pfvOx3I/N9rf59eFGNGd9++jYAwIpXRqRzjELiZx9RSez7UZQrvIPst2sxgKVMEy0HQYmeZ5x7jsnfJr+uiOFpGYEwuQSPHF1GRGMH1+sOxjBPBRoUW1md98nHH0cxUvlnOk8Y0wU5itoGZAtlZPtd513V+dIAII7C9B6ezpnXxGg0QhSNIAwF9WCg8irl8wdOY2xN6t3s+I1UVjJqtYDRm1uzPLSgdMQ3n1LRL+2gggGxRcq+h//wMT3ORenFM8NCwbdaGNlgPYd9EZGyVHWEUa3eREDRSHEcIyB2dBiGSOg9aRZXnCQmv2C1WkOv27HakGtHnj03dWze4zzGzPdaOMNlzLBjR4MBGjPqWx30B0Y3HU6OriDzbjVbVIEbZnrxVNFiQjE+eZStl8DSsQl+KmMywRtvU3kE//FpJUvPJRyyrN7jKBb4sQ98EgDQGw3Thhbp+gz7d8paszCSKkHKdJq2/phkdBUXe7DbY68184yxaffK77N10ZQiUHnW2MT8dbKv9rIP3JSGLs787MdrL3SvQiWvVCqmE19x7z3oUsjOhYsX1dlSWOFY2QnrxGAMoEZKaDAep2EkmUqKmFSALLftKtR1O4RDLxZFEhlDSVkvYocDMEp+15yZMdujMMTm5mbm6pzzNFnotGTNxVasgv3IfZDWsxcaHKzMnnp/pgJDPjm0TkYvDyepKvcLqN/XMJabxy46b8qCzDLU2kfUKBRqFIVmjxCxNamWU5SAdeWipP/Tig3oChqcIyH6f0pZZWZC5nnchA8lQhqKs26XHwRmkM1MPGxDjzFGWdVBrGO552W/PTrNM2HFIre4KBogiuQp99xSQiA5pKSqpewzZ3A1uZKFP6fczP4j91v9XaVJ0XA8zB1a8J1erT2Fx+cHOHuBlxsEp03uCvnN1rXyn08+aea0pJoAiieZRQtMa+FZoOu450Ek0uzW4eF33H4Szz+vjIZJMvoMFcqYpk+KII1BMBHCLGZM4ufMO2FTdHWKSqCeexSNrf6aZmicttgvaL4lCkZ3ITWMlitpeFSSWIY8e0JalMRXX5jbTgyrPRKmAmlSVAUqP6ZlJsB6Mys+ds+xc28dIET8MiWjnzgr066ryx7L/TsdZer3cRQW92Gh4Szv0LGbk3XSeJ4Hn/TfPffei6NHVHGFbrdvqtwdo8pYrWYTH3j//wYA7Oy00aIFme95GFERn/bODjVRpPea1p+FSeenLVJQvD17wavsn3wvnHO8/nWvAwB88IN/cSjzJk6GloCM0HESmzDl1swsNtbXs83L6Of8u5X6unSoJQt5R0RmLFe/K6STx1bIVnZOZyVyJ2cA5xxiWtfSPW4/eTsAYDQaok+hhL1u1+gpSGlVf43M4/q0LvC4Z4x/R48eQUkbYtc3TBt1FbhWq4khhYQPh8PUeFWkX4UAp4IsHuemUiLnaZVr/bwik0k/94xGp9G7DAJz3ySJjRGlXKkiikIydB2CbuIlZL8ROw0GL25/4f6ia1hj2z6m9lUKeRuOR+nB9rxJIpsKo6g9U40WmJy7mabH5n3UyGC9dOSoImRAkRd6FLp48fw5I4N6PhJFMXSaF9sxLZK44JmnzOWmOP2KwBgzhuAwYwhW4JynIclRiHpTGb3iOMJgQCkMDsHQ5Xkl5ZCwDNfZcSUP65mlgLSM0LYhlC5gXcOe8wJAyVxDb25SeHam+rpMkJ0f5/s7X9yiaJ1jyWXhmr1oW36eq3/aKQFId3AGmeTCNvWzmfRKBbfK7LjK+GeHxtpz+5zdZfJ8e32R3m8vQ5cLXXRwcHBwcHBwcHBwcHBwcHBwuCVwMzK6NgCcf5mbsQhg86pHvTy4ldt2h5Ry6aAaAzh52gdu1bY5WfrM41Zu260oTzfy+wJu7PY53TSJW/V9HTacbprErfy+DhtON03iRn5nt3LbDlSenCxdFTdy24BD0k03naHrRgBj7OMHTQU/KLi23Xy4kfvFte3mwo3cJ65tNxdu9D65kdt3I7ft5cKN3CeubTcXbuQ+uZHbBtz47Xs5cCP3iWvbzYUbuU9u5LYBh9c+F7ro4ODg4ODg4ODg4ODg4ODg4HBLwBm6HBwcHBwcHBwcHBwcHBwcHBxuCThD1/Xh3S93A/aAa9vNhxu5X1zbbi7cyH3i2nZz4Ubvkxu5fTdy214u3Mh94tp2c+FG7pMbuW3Ajd++lwM3cp+4tt1cuJH75EZuG3BI7XM5uhwcHBwcHBwcHBwcHBwcHBwcbgk4RpeDg4ODg4ODg4ODg4ODg4ODwy0BZ+hycHBwcHBwcHBwcHBwcHBwcLgl4AxdDg4ODg4ODg4ODg4ODg4ODg63BJyhy8HBwcHBwcHBwcHBwcHBwcHhloAzdDk4ODg4ODg4ODg4ODg4ODg43BJwhi4HBwcHBwcHBwcHBwcHBwcHh1sCztDl4ODg4ODg4ODg4ODg4ODg4HBLwBm6HBwcHBwcHBwcHBwcHBwcHBxuCThDl4ODg4ODg4ODg4ODg4ODg4PDLYHPOkMXY2yWMfbd1t/HGWO/8zK3qcYY+0PG2DOMsScZYz9m7Sszxv4rY+wFxtgjjLFTtP1LGGOfYIx9mv79Iuucz6XtLzDGfoYxxqbc98sZY8/Scd9vbX8/Y+xx+u8KY+w9U87/O3SuZIwtWttPM8Y+zBgbM8b+wUvvoRsXTp4y9z0seZpjjP0+Y+xTjLGPMsYefOm9dOPByVLmvi9Vln6Nzn+CMfaLjLGAtv9D6/wnGGMJY2z+YHrrxoKTp8x9p8nT2xljj5I8fIAxds+U8/e8D2Ps7+f11q0EJ0uZ+75UWfoXjLGLjLFebvv3McaeYmqc+1PG2B0vsYtuWDh5ytz3uuXpetp8q8HJUua+hyVLtzPG/owx9hjpp3ccUFc5OBw+pJSfVf8BOAXgiZe7Hbk21QC8jX6XALwfwFfQ398N4Ofo9zcB+K/0+3MAHKffDwK4bF3vowDeAIAB+O/6Wrl7egBeBHAX3fOTAB4oOO53Afz1Ke3+HOrPcwAWre1HAHwegH8B4B+83P3r5Omml6d/DeCH6fdpAH/6cvexk6UbXpbeQfdgAH4DwHcVHPOVAP7Xy93HTp5ePnkC8ByA+637//KUdk+9D4CTAP4YwHlbb91K/zlZOlBZegOAYwB6ue1vA1Cj39+l23wr/ufk6WDk6XrafKv952TpMyJL7wbNoQA8AODcy93H7j/3337/+6xjdAH4MQB3k2X7XzPGTjHGngAAxti3Msbewxj7n4yxc0wxTL6PrNgfYeT5Z4zdzRh7H1nd388YO/1SGiSlHEgp/4x+hwAeBXAb7f4qAL9Cv38HwNsZY0xK+ZiU8gptfxJAlTwFxwC0pJQfkVJKAP8ZwFcX3PZ1AF6QUp6he/4m3cuAMdYC8EUA3jOl3Y9JKc8VbF+XUn4MQLSvDri54eRJ4dDkCWpg/V90zDMATjHGjl6lG25GOFlSOAhZ+iNJgJok3lZw2DdDGcFuVTh5UthLniSAFv2eAXAlf/I+7vNvAfxfdK1bFU6WFF6SLFFbPyKlXCnY/mdSygH9+REU66xbBU6eFF6SPF1Pm/ffIzcNnCwpHKYs7Uu3OTjciPBf7gZcDxhjvwjgnQDWpZRXDWNijP0fAP4p1Mf6AoAXpZSvpn2ncoc/CGVZr9Cx/0hK+TmMsX8L4K8D+Cko6/Z3SimfZ4y9HsDPQi267Hu+DWoCnMdASvmmPdo6C8U0+GnadALARQCQUsaMsV0ACwA2rdO+DsCjUsoxY+wEgEvWvkt0jTzMda3jXp875quh2DOdae11wPcDeNDJ06HK0ycBfC2A9zPGXgfgDqgBeO0ar3Ojw8lS7rrWcdclS0yFLP41AH83t70G4MsB/J29zr/J4eQpd13rOC1P3w7gjxhjQwAdKK950fmF92GMfRWU5/2Tt+Ya0sDJUu661nHXIkv7xbugmBu3Kpw85a5rHXdd8nSdbb4V4GQpd13ruIOSpX8K4H8wxr4HQB3AF+91voPDjYSb0tAF4JcB/L9Qlu09wRi7F8APAHizlHKHMfa5SK3pRfgzKWUXQJcU0H+j7Z8G8BBjrAHgTQB+25rYlvMXIcv4q/f1NGlbfSiGwc9IKc/s85xXAvhXAL70Wu61T3wzgF84hOt+NsHJU4rrlacfA/DTjLHHofrtMQDJAbbrZoGTpRT7laWfBfC/pZTvz23/SgAflFJuH3jLbh44eQL+HoB3SCkfYYz9QwA/CbUo2E97agD+8QG352aFk6WXIEu5tn0LgNcC+MIDbNvNBidP1yBP19PmzyI4WXrpsvTNUOGOP8EYeyOA/8IYe1BKKQ6wjQ4Oh4Kb0tAlpfzfeas9Y+xuAP8ewBKAAYDvkCrM6TsA/Hsp5Q4dunWVy4+t38L6W0D1FwfQ1t6DabhO6/+7ATwvpfwpa9tlqBwgl0gBzehnYIzdBuD3ofLUvGgdb1PebwNwmTF2EqmC/zkolszJ/HFW+xehqLBfY237YwBHAXxcSnnNE7jPUjh5wkuTJ2Lt/E06hwE4C+CzcTLnZAn7lyXG2A9DjQd/u+B5vgm3dtjifvBZLU+MsSUAD0spH6Ht/xXA+xhjHoBP0LY/APAfiu4D4G4AdwLQbK7bADzKGHudlHJ1ynPfqnCytA9ZklL+0NSHV237YgA/COALpZTjvY69xeHk6drk6Zra/FkGJ0svXZbeBcWAh5Tyw4yxCoBFAOtTntvB4YbBTWnomoJp1NNXAABj7INQyfp+AkDzem8ipewwxs4yxr5BSvnbtPB+SEr5ydxx12T9Z4z9CJTCyy/4/wDA3wDwYQBfD5U8WRK19A8BfL+U8oPWfVcYYx3G2BsAPAJFzf13UsqLdntIwd7LGLsTSpF+E4C/Yt336wG8V0o5sq79Zft9ns8idOHk6VDlido2kCpvwLdDMXRuxXBaJ0s4GFlijH07gC8D8Pa815ExNgPFlviW/fbBTQonT9hTnnYAzDDGXiGlfA7AlwB4WkqZ5J9nyn0+DVV4RR9zDsBrpZS3WmgQ4GRJ3+8ly9Iez/I5AP4jgC+XUt7qC0gnTzgw3XRNbd5vX9xEcLKEQ5elCwDeDuCXGWP3Q4WBbuy3LxwcXlbIGyAj/vX8B6vSBoAGgCGAx63/nqZ974WykAdQ3teLAH4bwBNQ1dzs63wrgP/Xusc5UBUlex9d531QFvSnAPzQS3yW26Dyhz1ttf/baV+F2vsCVFLlu2j7PwHQzz3zEdr3Wnq+F6FCPNmU+74DqhrHiwB+MLfvz6EmXHu1+/+EigOPoZIT/gJtX6btHQBt+t16uWXmEGXx1508Hao8vZGu+yyA3wMw93K/cydLN7wsxXSuvv8PWfu+FcBvvtzv2snTyy9PUKzAT9Pz/bm+Z8H5V70PctVib7X/nCwdmCz9ONQ4J+jff0rb/wQq76Ru1x+83O/cydONLU/X0+Zb8T8nS4cuSw8A+CCd/ziAL32537n7z/233/+YlDengZ+p0MX3SikfZKoC17NSymMFx/0cgEeklL9Ef/8plMX8Y5/RBjs4ODg4ODg4ODg4ODg4ODg4HCr4y92Ag4BUYUxnGWPfAKg8Poyxh2n3ewC8lbYvQoUyfjbm93FwcHBwcHBwcHBwcHBwcHC4pXFTGroYY78BFd98H2PsEmPsXQD+KoB3McY+CeBJAF9Fh/8xgC3G2FMA/gzAP5RSfjYmZHRwcHBwcHBwcHBwcHBwcHC4pXHThi46ODg4ODg4ODg4ODg4ODg4ODjYuCkZXQ4ODg4ODg4ODg4ODg4ODg4ODnn4L3cDrhWMMck5h6oAywAAQiSZY4pYaoyOBWPIVZs/yNbpFhRs2y+uxrCzryf3ue0gMK1d6X1mfA8AMExU/4a5flbvjK5G70hvk1Jav6feb1NKuXTNTd8Dvu/LUqmEwA8wHI0AAEmSQArVds/3IEReXljaPgnMzLQAAHGcoN/vqyO4tiGnzyElzHXBAE7HSAkEQTDRNn1fKYW5DOMcnDO6XwwAKJfLCMNQHSskhN3v1M+pVDDzyg6Czam/K8/zzPUS63vkjMMjuSiVytTuCAm1nXseOFP9IKQwfeJxD0GknmkQq+tFUuwp8fZ2xjkaDVVxulwuYzweq2v1+4gTdW8p5YF+JIwxyRjL9CuzWiqnfEPM0hvX8kbsb8e+1uQ10m+LMW70337ef6o3ravdYCxgz1PylSQCxXqDoRWooW5EshTu8Qy6r2q1mjpnNLJ0gER6qoSl8w9cN3HOJecehBSQoqi9Vxtnrq6zr22sKj42lcOrjav561/LWFX8Xvfev9e99wP7/WYxQ/I0TEieCt/PtV9X7z8M3VSwFXv3W75/r6W/i67x8sD3fTNHFFd9T9fyzRzMs2ndNDTj3PXpV/U2C0fIA9dNjDFZJD1FY9KNAN8PJtqkKnLpsRDQT8O5N2WMnHzfnLPceKDPKVoLHCaY+f9MSc0l9bwpFPl5OLXsOt/R4emmaePDvq5inXO9zTvI7zpd31xbN1/POzk8HTtTUrppEKVz8GltsGe6ZhtPuTR63QKYZQmSJD5w3eTgkMdNZ+jinKNabaAU+GBcLXAG/Z61oGeIaIGswQBwjxbQXoBwPMzttf+8VqVhHc8sZSvz2/ZzDYmrakX7ejKnmBldI9+uabimdcaUdukFNBi+cH4eAPDJjjL2XMz0M1CmAVgKYYw0Hhl4oiiG76cLVjMIW4pVQJzfR0uvCaVSCffe8wosLx/DU089DQDYabcRjlTb5+ZmMRwqA5ieJHueD5FEqnlS4ou/6O0AgM3NbTzy0UcAAJVqjc4Rpn+TOMGYjGmMAdVanY5JsLysCobqXuacY0BGs3CcLrQr1SoqlTLdT6Wau+fuu3D+wkUAwHgcYjQcqHtwZgxKghZknu+byWgcx9ZkJ50gTDO76KHM3h74SoU0Z2YRR+penc6OuUq1UsXs3BwA4NSddwEAVldXsbuj2t5ozaBSVs8zHI5QJ+PCbLOJo6uXAQCPb2wDAC6HY2PEY0iNiUIICHoOj7ZVa3W8+c2fDwC4++678OKZcwCAj33kw2jvbCE+BGM3YwyVUgXheGy+C8542t8kM5lzwIyhRkIiSRKzp2AZYX5xzsE91fdJEptDueeba9gT2hJ9Z6VKFWOS7SgcX+WJJDxfnedxblqTOS+j31L5KV5w2Ze257Ysu81+bsatY7m1Kz2m2VCG5l6vB0FGdtvgyLiHtywuAACe2ukCAC5Me3bL6PzQw68BADz99NPmWwSk+RZFkhjDbJyEB66bOPcwO7uAwXBo9JH9XFIkqk/Unsw/6gCJtJ/k5LEAYC+C9P6JMUvrYvtantlbKpUAKD01cY5lWFcEcmu7/gb1ZNh2cOTXl0Xjj26v8iAU7C8am69hfJcibZvVJgbgC5YWAQCfbit5Oj8cgTFrUk+3EVKmd9RGAJFMbwcDhIj338ZrAGfZ6R5jbMIRotuQ+6GOK5x7XAWMZUVyTwPAS1mw5fWNBKf2LiwsotftAQCGo+HkqZnLWLJkvc/CZ586tyuYB2aOT7dzBrz5iJKlJ7Y6AIDLYYTsifq7tNuJiW0+A+LM+KEgZHTguokB8Mm5Zds99BwuipPJk6Sw2mX/BvYvDzmHaOF3zSZ+LiwsISJnoJ43RFGI8UiNA2o+qtpQazQwpjmfnqeqE63xl35WKhUz3upxIYpie/AteAYAGZ1q60qt04Qlf9P6xhYCdT/P8/FFx5Xd4PGNXQDAhdHQGgU4fLpsHIXWMqWo/yaNfEIeom5iLHXIIXWcqGEh3weWQcsiPezL0GXeTe56V/2uzQWusl8ad2MQBOZbKJi6TG4ofM6iv20ZLxjXpx17DYY0BuALjh0BADy+rmTp8miIou8L4PCMuOo5GEeF5vMAUK5UaH86z93e3jxw3eTgkMdNZ+gSQmDY72KIlBHDOUcc0yKScfhmAZgqGDMYJfkBVuHr59VC6Hd2tqfcOb/wLFAYecOT3lakOAuVqrUoMBN3tn/jm+1JsheQhW3d60JFCnPKtSxm1lceV33II9X2i+Nh2nYhMA7VO/I5g08GkiBQiyQp0gkMpLTGInaoTrFSUMLJk7cjCAKjiIVIzG8/KCPaVRNQ3Wbf91Bu1HQD8aknngQAnL7vPtxz7ysAAJ9LxtY/7nSV4QPK6NFqafZXhA5dt1avGyZYp63kb+noMubIQPT0U09ibnYGALDbbmNAC/FaVbXxyuo6Go2Gep5SiCoNLoN+z7DrypXUoJhhihVhyiTNNnBpFlZE39321kb2EvSvSGLTb88+8wwAYHFhwZw/GgxM/PTO9haxcoB6tYq3LShGlheqbYM4wjYZyJrNJrqdjmmZNnAFZJhJ4hjMLBg51ldX1PYkBmMMRfyGlwypjJmMc9PHiUwn/AwMjGbI5h1AIMm8hsmJ+zsW1ULojzbTGhq1RgvHb7sNABAO+jh3/oK6X5JORO0FSBhF9K89ceeTizpbX8nE6E1ufbNRWDSBSiebRWs7BpayojKLRkAtenLPzuwD9H4OMGGdp46N6dkq5ZLRMSIRmfv85ZNq8h+E6vkvjIZZI4a+g+eZydl9r1DfcqvVwlNPK9lt72yj3+3SY/B9MEReCiSSJMZ4OMgaJEynFkxg1QHWdktvU/9/04kTAIDfvLJi+iA7uuWeKb+YzBwsEWrHkm0YgPWejLjI3LUsmSuEfqarjH+co+i7yV7XNtLl5W8PWEw+bdxjnOMb7l5Wt35O7b8wtA2nEsJq88QCxzISAiLbhsMUp9zCZzqjo6C/WX4cVn+8k8ao9+60i8cNKSEzC/bct56ZH02Ru6ut86e0WTs/NjY2JvZdMzJG3qtk/LB0niySwYyC5PiqO4+qnyOluy5bjhI19aITRP77yd2Wc3C6n5oTH45RQt2MqXtEqYFIAvB8NSeJ43Dys7adFhMOZvVNfPXCLADgPZvbmPYxpH2aOj6YYcdnz6lVqwCAfrdjHOBmbLbHXctYMhqOMnMogMYTa84urN96jNQOkiSOIOzHLBz3LHmyddO+6T/2nDxdI3DPw9eePql+h6pd5wY9MK7Gbs49cDJGIo4LpMhuD4f+XhnbDxvyekHtlxLcsLNj63ORYEU6yTQ5/12o3395UTne/2BzExl5K3yMonXWfp636BhpDPrhVKOnbSyyv3Xkjs0ruqK1pC1fBcbRjNF0jzVhDp7n4S/dcxwAkAzVt3N5OEz1kdUWxoByWX379YZ24EvjxO31uui0lbEsTgQ4pqw9HBwOATedoYsxhlJQQhSFho7OPR+MBkoppfFqGe+ATBWPlNKEUi2A4wR9nG+fJUPX9nbOOVCkYC2NVGSwyiiWKccULVKsY3V7GVhWQU53tqBQCU4Ds9qVXxwxe6DLb/OzRjhPTQjmA+DiiCZZnlqYe/4YSTKgQ9NrxUkCPRMIY2XgqVWrGBDbqVarYUgTjMPGcDTEk089CSGk8sRBsVe0jIRhiJlZNZlPGSIco4F6rnK1aphVz2x9BC3qx4dJrv6C/gWA8WiIXk8tkkejIUqBYjItLS2ZxXqH5KK9s4NKRU3Sjh07hnq9btrT7eprjKldIzCp9g9GI2OQqJTLhkGmQ/c8z08pxNKDkLbntWAiPgXiKowo308Na5cvKbbZ3/y27wAAPPrxj+Geu18HAPjzv/gA2m1lsIpjCV5T/X7x+XO4fEJ9k6ykvEqDwWXzbO3dtrkXA0OJ2IImXLFWxzliuT3x5NPodMmoWK0ijiP0ifV2kFCMrAjZyQlP2aScI4ryrC5mdbuA56nnOFqto0ULlbc0lJHzj7a2zTebRCHOvPACAEDE0aTBKn8PezJd2PiCybi1XQiJkIxIQUnJdBSGuQWgl/7Wv2jB7wc+hGFR5SeVWh7tkFt7t22Ey7IbSqUyRuPItDHVtZ7RTXMBcLFL3nymZMrzQ4hY6ZiFpSNot3cAKMbkvF68v/e9AIDv/u7vwvZOW93P93Gu16MmHqpVAkki0O32UCqXEY7JmGT3UWaMsU4sGA+O+WUcraj+eMvtdwIgQ1cho6fIUGYdlTc8ZebkubGDSbBMeJBlLDNj2X4m38Z0nv5tZNbL23Cyz2HLjZRTbmNfgM7jAaD1o5QAV/23VPFwpqNkuVFRC4FSOUQY9q3rUeg7Y+mCmi7r+17KvCkMADsMsEndkF9UFy30pL1P/bEclLFMi/pvqCnd9N7tnSlzJaBQOO05ROHLw2emW/L3yoxrBe+G2UZVmd2fO1SJuz7WOo8B4EqHzgXAua7SX6WykiXPj5DEg/QqmXdgXQMAhDDMtSiKDJMkkWLy/R4gpJSI4yT3yJZxV/LJBX6evUTHL5fLOD6njBJf99BDAID3/I//PuXOxXNoaclTYKIEIov9KtCYmQUAw+IajUYmJFxaRqYkjtGn+YKOGsk+fLq28DzPsPdjMqR5ng+hGW2ZNUTRnL9IvvL3s8dmfQ3P+s0xs6BkZ1aOcbGtZEfSWBeUhojHu3SpBGGszqvVG0Z2TNqO2I6GSUkBUkpwBiSHJlIMYDJ11ElpGLKcexB6u9HjKBynjtXrOEHj9zvuVhEEf/Dnf7ZP3ZS91r7bPXEKy/wqdijY38Skka54QL9K59tGcVt3ZeYJBbKUGT85ENC8yU9wuau+lXJVGU/9Uog4mlybSSmNDA2HijXLObMcuhzz87MAgF63h0TQvQuiHBwcDhouGb2Dg4ODg4ODg4ODg4ODg4ODwy2Bm47RpeJ7Y6gwFmWGjqPIWOwX/BIislR3RZpHyWYCaApuG8D33nsaAHCKGCg487x9M1yFQlXsKWD28VfxDmTYWqmVPZNS2vbQF3kHpt5qL29F/tn2oscya7dASmf24EP18RfMziEpqz5eiTbVVZMw5+3Xv72JRg+GI9OVg8EAmSTYh+jZrVarePCVD+LsufNYW1sFAITjMUpMeVxPtWoY0/13QuWx8DwfzZbyZLdmZvDgg68EAHz0wx/FNxEz8I2n7wMA/MITj5vwPsY4kjj1PM7MzppH9CiEU+ddAmN4kRg7UgpUiYI/O9NCjxhdmnXGGEen01btac2Y6549c8aim5NnTggEpTS8L5U3GPp/mXLujKx4/Dx7hec8j3mGlwklBlCtqbDK973vfQCAzm4Hjz3+KXWvctkK7ZEY03N84XwdrKqe7xKFE48HPRxdPkrX2MVgoDxLiUgMU8p4kIQweVm+7W/+Dbzzq74GAPA1X/3Vh+bo9jwPrUaLQiq1x9dHiXKQNSWAmmKc7QxV2zIML5km9B94HD/0sGK9ff03fh0A4If//t9PmWutWQwHikHS64RIPYQJfJ303w5TnOYVLPS6TyJJErPvtjvuAABcuHQJRyn31db2jpWXJf1o9eVr1Qr6xMBVbBabYl+gbzLOb+2F9CeOjaPYkr2UtcIYg8/V9rcuzqFOYbBrayv0QCPTE8PRyMh+r9tFs6nCi7Usra+t44XnnwMAzM/N4b77HwAAPPv0k4fK6uKco1KtZhl7gHnGBd9HQoyDts6HOIWNtQOOH1hWIYvf+Na3AgD+zkc+lB66F3tZ2gdlrzsZBpiXM5aGrkmrWMCEJ1vfa69xyN5lhd1mcl7Z7C0rfNK+VeYxsvdgzLdIitKEHTHmmdw2b1+aQYWYpxcurwEAkrCfYyQSO4RJcHpHWhUnSZINicw8b34sPgQUfOOL3ENIY09Hszqk9R1a72tHCPzD224HANxDIfO4fP4aGUT2O0f6OyNbEz+sZ9jP9ffZnokcbwVzpGmMV7Pf0mm6H7hvmuBxjkQzwiERkG76wuV51FtKX1++sEKXyuaYtRo6+ZOl4fA+87M5Cj11kEhs1vbBQWZybqlG6fygC6UKEtrXpnlTNvw1PW87FvhnlOf0LTQPmoT9Tuw8VjZjTu23c/QOaY7geR7Qo/5AmtvTanqmTSYCxAo7ZJY86vl5r9tNi6HENjvFnh8VrRG03KThgVP1nQ6ZZr4V6SEz+0d9xdj6glNLqMypb3KT0hlIMQYjJrwQ0uTKrVUrWDqi2PIvvPCiupZfslhdWcV5uAxmupf1nen8vYt+CT2aJ/V02zJrLJjztsZj/OxXfiUA4A3EFP7OP/8zZBnv09ZFMv2JKYdNbX7xuCXtvwtCGBm3w5vza8H8da/aCGRlqIBBaIcwFoRHMjD4lIftrcfmUGmq7/HKOTXOiTiXh1OzsVnKXNNpRCrVKspldX4cReh2uvRIeX3r4HC4YDdadZSrgTEufT8wA7pC+oEv1pr44hMqd80ChXv8x5ULJhnzYDg0OsT3AzNgzBL9+KG5efzJubNT7m5N0q+Wp6E4liL9p3CyLZHaHhNrm/6Zf1d7GdNY8eapzS1Q1CYUiSGgyVSUWIsuXsYrKFfVD7/6DvzWjlKQx2kw+i8vrqAX2eEchTc2v7iVXDyTrJp+CiSfkFK+9hqe6qpotVryda97Ay5fWUV7WxlURqOhCZGbLVXxNsrfdoryZP3KxqqhfFdqdSzMK6p0vz/ADoVAlan99/oBPrq7C/0ES0t6YvE8RkTxrTcauJdye+kQxXIpwEc+/BEAQBiFiGOdB8I3HaJDyRhjhoK/dHQJCfHLfd/H9lYbAEBzMSRxaPKiqbxgup+Z6f9mUxkFBv2+qaAohUzDAJDmTNAGAsY4EmpDs9lQeYXo6nMLKj/SaDCk+45Qo2ou3eHIDOqVWhO3B+r333/VCbxvqK49R2Giv/fiGiIvoT6roUchZKNBH7oeo8nPJ4BWSz3HnXfdhXe+850AgF/71V/FaDzG+sYawjC8li/kqmCMSV5gtNH9fXx+Ee88fT8AoEohrP/l8iVjsFOTZtV+Lwjw6s/5HADAIlHxv+CBB/Djv/RLAJSs6aIa2aqg6f0DquZlh5gwztPJ+1RMM3qREJGD4ejRo1hbW6NjhcmvodqT6wcZg3sl2p9feOWMDZDW5C8N5xQikyXO/Bt4WjclOLKkZG273cU9DWWs/tHX343f3lXPvEAy+OtPnsM26SbueSYUReUGUXc5clQViHjwoVfh2WeUoavX7+Huu+8GADz1xBNkDAaEjA9cN3Ea6zhLQ17vve80zp1V49OJhQV86TFlvAK9h3dfuZhbjNvjh9q+RDrmoVYLf0q569T+/GQ4B9L73OPIipw1KZ9YJNiTb3uCywCmK83aF9PGKVv2ctdQjUjvIZLsM5scZjmDl73PXCq3CIGHgOQ4ShJAqNAN5lVxb0uNdT//ttP4T5eUTpqlRfx/fuI82nFxovM0f5C9teAbozw1QsaQUhy8buJ5Q3G6sFyo1fEV8+rbqdH3+e4rl9LDhSjs42NUgOaeOMb7KeckxetcQ+sKjmUFIWN7Qs+bbOP+NRi6ClFkdJv4g65hGXFJN3HPh09GzjBOzH7GPLxiVhkjfvTNd+NX19S3vUiy9BtPXrTmTbZ8FH2XqXGY83T0KZXLJvl6GI8PQTcx6Xt+rtJt2i+zfhlfR/IUkOHu57bXLR3DsrqAzp2ldA0PV0r4C5pLTc6hJ/skX8U7ezzQaNTNvrS4kLDmNPZ9JACtm+J027Q0JXouZNsmCg0VeUOEhh2OPWl8MNfnJQQ0Pwht54dXwQPzaq7z01/5WvzBDoVN07zzv37yHMaMcqlub1o9w9CkOdKRoyrn4Plz58z8II7GEzKndNNBV13kpJuK+2euVME77zgFACi32wCAX9hYNccGgZ8WRAkjSh8BLJIsvbJSxp9tbeubZdcWaSuKWgbbqa8xaeDFhFhqeL6HJNF9WCBLU5EzsKd3t34WjNcZ50CR/koNXRVa44yiMDWm8hJOz6l++1dvuw+/va3a3KQCY7/2+FnsjrWeZ0bO1eOr3zozCmPMVFr3fN+EF8dxYr7FwaB74LrJwSEPF7ro4ODg4ODg4ODg4ODg4ODg4HBL4CZkdDGpS9HaFmtGLAMPVhJM+leIOGWTe57xWNhlvtNeKKagTuybVjVxAgVeivw5mYTORd7CAg9E4WtLWVwZp+p+/C+Zg3MecXioENX+u+4/ifWB8pi8xucIiIFTFgJHiVU8DJR3oMwD/O6W8nz/xvpKLrxNe7Rtr56VXDjTNkqIDXHg1v8gCOTc3CIWFxfR66u2dto78CiB+PzCEeyQN2hMHtelxQXDIBIS+Jqv/hoAwPrGBlaIIdGm5NW9ThsxsQ9Hg77p562dHVMhcHl5GUePKY8as+TquWeeVdfabZtwwjCKjPxqxg7jHnzNQogFWjMq9Kqz2zbJPTlV3fE8jnlioK2trVkVGGVaAZP62/cDc74UwhwbBCVD1/foGcbh2JwfxxHGI9WXDMDx2+5QfUGhhLu7HcxR0vh33bOIS5SM90EOBBT+GiQCSyRPYUndq+4FeG9PHfuIX8bG5io9585E6KTHeOpf93zD6JxbXMLG2irG0RhCHCxrwuOerFaqEEKY5P82fB4YT1ZzRj1/tV6DpNCS/iAtA97Z3UWtrrz+MzOKSZgIYYo0hFGMkNhEvu9lQiB9Xf2Jtkk73CPjobW0XpE6AwPsYgW5pLqzszPo0jtVlac0q84zMp/eQEzRQyxt27RKPEY15byUAACOKsnit54+jhVKnvr2egXVGlWJHIU4IdXv5eMq9FW0e/jpFeXx/r2NFVOV0h4P0ztJLCyp82q1mvFcggEXif17GIwuxRD0UG/UUanWzXYduiwTYZiewu47Q0yYMp5Mi83Y73ghBKSp1simXq7wvuY7LUqqb7nFC8KiMo3jVvi7yLNK9DF2KJm1v9CTr//lqJJO+1sPnsAVkqfXBQwRV9e43fdxJ41RHWKmJozjV84rBsrvr60itiqU6bmJlptGo2HYNuNwnJJqOYOUDEKEh8Po0vOmglCZkl82uj4x4Vp7XdEOJ85ea7K/M1SXyeMzemW/QnjVydAe2/fAPshd0+d5k5tqxGj4rodP4XJH6evXlX2UaJyrJAJVqio81uNcuYL/elHppj+4fBmxZsAyNoXVpcB5WgXW42mV6OGof/CMLs5lKSgBUlIKBKU7NasXkpkuSfnE+2GyTMrmviawVr/ouVtiVVjnnJl5k2bNj8ahVfDOrlJps7esEHtLNANfs6WjdDwofLa8nBYpS+vCMk5/53UT81Avq7Z/x6uOY7VHY12jjFlK81BNBC7tKt1yxz2nAACl4QC/9qLSTb905vnC5OgnTqpk457nm3nezvYm+r1s4vHDZXShUDdxqwCEGTUm5hN76YPcPtPd+W+pYP5B7QlK5ZTpllih8oW3zdK79JyvcI05WZo0e0xR1db9IFM0w0b6zHqc+/aHT6I9Vs/2mhJHqURzVClR0XlbqurY0A/w3y8pRtdvnDmb7THN7tLPa9G+K9UqqlQlfjgYmvDiKA4do8vh0OEYXQ4ODg4ODg4ODg4ODg4ODg4OtwRuumT0DAye50FY3kHGAN/XSSyl8ZbqMsNCaFaDYh7oZHnCyinCMrH+Uzx20vpdWDLY2m+1eDLhs0i9CXZek8y5BV6ifNvYdOt/Jk/AvryfRW1I/x2Rg/mja7v4mgXFGJqLIvSJVdRc7UMsKpZKpJOkS4G3kHfg9zwfQ51kNdM9ttfdeuainCuHQD6UUiVr3djYQJXytAWlEmYpH9fa6mVw8nzobevra2gRy6ZSqeLKlSsAgKefeRaDvmJbaO9gGIYmn5cQEouUQygWwuSK2NjYwAIl9b5w7hwAgPsBanXVniiKzO9Ws4mLly4BSJOf+pxjRAyiIAjgU//XalXjVdEMrG6vj9UVxYRinBn2TxRFhh1SCtJcSwmxjcqVCipl5ZGp1qoYUt6s5eMqH95uu40OMU0q1ZphbiRxgu0tlRdCP6/HfewOVXs/sNLDl1NOgNkoxpBs77NrfXiLSs4SygI9kgJvJHbEJ4MyjlIi1eGgb9h2GipnGHma4wiCvvm1K5cRJ9FhiBJK5RJO3nEK5868aHJtJXb5ZCYMy0TlRwN22m3UyNO1sLiIRcoL9ejHP2b6WOeBqtUbGFK/JZHNGGPwSP95vmc81mNd7nkwhOeluRQinZxYmv+lGkLaf+UYmDkvd7vdRpH+y6gew5hNk8AqUon9BoqYXKkeNB5CCWTLZ6t/h8Qee3S9g7fPqGevRBEGoTr2xEoPy3cpxuQwVH16W9XH2+uKbfEHGz7GQummUrmEKNTsrpR9tL25DgAY1RvwS+p91et1zFDJ+p12mvvk4MDAfR+1RsuwNC9fvGS8oZ7nQyCX7yyf+6aQqlfElsiPQ3uA8wzzNMMGnsray0Ey5NlmKmG3SPcX5m7KsaGpPSjKO2cnELfHbpuQMNE0hiHpwY9caePLF5Q8HZUSa3Ts+rlNnLpbfaexT7IZJXh7XX2Df8Q4Yp2PhbEJxkeP8vOpTWmSa1mYoP4gIRUF2RC203x9YRxm5ca010yQstexE4Lb5xhYfxeyEuTkJoasvO7JFLwai+saSSdTPoniyxbdo+D7YsAgVHr6g5e28c4l9Q3PxDHGxIRfuNTF6JiaS+h5UyQFvqypxsQ/4hyx0GNIUd6y9L5CSpOYvlypoFZTc4bh6Gp5Uq8dUqp5tv2Vcs4MKzDLSDpoed7jHUthCv4wnhZ3UWkjqeAI5WlcWFgwY+t4FKLZVAxqVUwmvV56q/R+nFhjMppsRjYPZo65aOuhiWeYwt6xcuX2aW3zyJUOvv6YkqfGOAaIITi/EuL0V38JAGDoUX7B3hhfs6Ke6T31JrZ7u+m96faXL14EALzmta81jOGN2B5bpujjA4FmgNpjQjquCCD3HpDVFTYyfWxvs4tJWOsw+5gJdm+6Domsgmdpm2HdK9s/Wj6EEGbtOTUKp/gSBwB7XJ7Uz0OaBz661sVXHZsFAMwOx+jT3HXuwi6SE2r7ODBJfvEFJGu/5wcYmuIA6fVlwZwjHI/RalGRn6o0hbSi7rTCGw4OB4ebztAloSq8SSFNktdSuYJwrBZ11Vo9rfRAitr3fQwo5AeMpZXvLOqq+Tht2n1G+XmmepIEp4UbADmkQ+3qGblJ2gQdl2W32cpyahVHFC4Ospdlxco/Q5meMrAWhmDaSlg9+4c2d/FFdbXQ4wFHkxYNQSIx11P9HZKSj+IYs7Pq2PEla0aQWYxpFCR4nGjPYUBCJBGiUUyhrMpY1Kakl5VqHeMhGSUokWecCJy68y4AwNzcLBo1qnKXRGkIFIUQ1Ot1VRUUSkZ2KUFoKaggjMgIFVRx5uIGAECnk33l/afxAlVdnJ2fxxqFRG5vb5uFv6aYx9aERAJYXyVDFoORWV2tj3OGBlVlFElsQs+U3NCiJ0plUyd3F3GMYaL6YXe3DY+uu7mhDADd3bYJefH8AJ6vQyXTcD19TiIkwFV7Pr49wlvq6nfgMSNPSSwws6O+rfCIWmxGYYj7qaLQ5TOX8KqHX6X2hxHOUQiZpIV/LGL4JlzTw8gyhLFDmrQlSYJetwPGGMoVJRPhGCa0I05i5O0S3PNwx10qufkLz7+AS5eV0RQyTbyuP5VeZzdrzCZZiRNpQlOPHr/TJAA989ynAQD1ZhNDMqzFIs6oIc61MyA/qVXy06AKhHE0Noa3IoM/49yEh4ZhaOSfMZ3MlVt2/gSZkJCJEA1kXo+0DWy2rsu196NbfXwxFcfolDjmSWfN33YSn/s33wUAePzXfl5dM47xhjnVT9GLqTEyDGNwWiya6DHJzLfW63ZQKqsFhEgiDPoHv4hMISHiGFubGwhpgeP7HpaP3QkAuESLE3XopLNDGQWvR3dyE5IsBAfIiCrGbbqsbRSzjSGFj4DiZMuYGKvSRTLS49OL7L2N65ApMflpSyCTmN7kMZhCaOdqzPrYRg9vJ930tJQ4XlG/e4nEc+fUWDB/5yIAoJFI3HFE6abRC2lBg0yVL0tmTdJsBnCSU5FEOAy9ZJAroiOFnLJPyxKb0kfWYrJwOpExf4DpsCRwSG2sEf3JE+33lLneteA6jSuZ+doe++1LZ+Q9PUmnGYjitBrxR9e7eHtTyVW7xDFD45wfCdy5ovrimZNKfsQoQrlFc1ghjXyATQ3uNk0oU4XfeqORNdgcAhjj8INSWuWQeQCzKu/m53jMQxoKP+X9mO/U3pgdI5guYsEDmCg6oef3aUizXSfQ8xjK5KgbkKFra2sLFVorzM7OoE7OxEG/bxx8E4YIAJAS49FYd4LZXSZH6Xg0hKTnZJnwOFtgct8aXTc91J88lvmmTx9Z7+PtTdUP9VoJx+mYh7/nu1H53r8LAHjsr30VAKA6jnDqITVf7Tz5fPEagvD4o4/i1O13AADuuOMOnKXCJ4o8cFi6Sa+z7Pds94tVCCPz7RV9tNbaq8BglT2Wm3kT8ytItCzFnfR8+76ZdZr6pVOGxHFsjvU8L3UVSmmKPOlq52EYmjlaJsVFpnv3occKDX1T5C2/BpUMuhjMh6508Kamag8qPpZpzl8KBe67ouZ8j55S2+qJQHlRyXn4jDVnzBdVyUEIgY0NtcaRQoAdmiw5OEzChS46ODg4ODg4ODg4ODg4ODg4ONwSuOkYXYBUtGDGTfLrcqlsWDNxFE2UGk4sa7sdrpONsSnwwNrbISDI4v8tczP4zY5iiMRCUcylzJUWn6AoA1PZVGaTwEQi9jxLqygUxab7TvWq58+bZlEvbmPqzJJ4Qir76F+qlFHR7IdWFR3yWAT0DDJgwLqiQf/KsWX8tZX1gvsUJKjPe/4PkdAlhMBgMEClUjXsDN/zkND9Z+cXEZPHUocFcE/i4oULAIDxsI9PfPwTqvVSUqJKmHNEUjfsnjiOjce1N+yhQcnGv35pHv+N2HDjRHkdL5w/jwElAu31usZzKSBRNiG5qu9mZmbQpWPDcYgaha4xxjA3p8q/72xTeeU4QWe3Tc+Rfv52WW7PPGeamBRgxvvEOUdElOUBsXw830eLEszHcWw8opVyFdvbW6ov52YBAFtbbTDyeMaJxAv0gr+oWkZVszSbFbQppM/T9vggwPlV1fZ/1yjj/3ruOQDA9s6OeWYdOupxrthLUCwm7RWX0qKSHzCSJMFuu60YTdRXjUYTfStUKYV65qNHl+ETA1KxUos8yCL7LwAwL1VpLGUcvcNL8D8o9I5XZgAAvc628Sp6FkNDMkaJXgGpQyxZ1tfW3d3RR6NYZ0m6rpf1Tupk5Zp9mFg6mOlS4vp8rZvoXJFjlxSRTS1dkXaTxBP015eVS/CJbt8NI/x//+5nAAABhSsOPKDaUTL8pyeP4YuvKG/jOIxy7DYQkyzdFtJz+n4JLQpd3KTCCIcBEcfYpW8IDAgodLLZbGJHby9CxkEuUezJL2YAJxQO+h1Ls/gVKhYR1ebU3sFOemE7VKSQCWOzfxgmQ972QiF1xtpWNE4XeLEzp08bI1OWF6d3LSTHc56aY3xRPcCJqvodjIGkquSoS6xcXgkQrCkmwHvvPYWveO5s9rqA0Tuex1GvK13Z7fUgtGzp/pE5+TswUJ9l0gVYu/J/sNwxRbopg2Kalw4B/qZWHb/TU99czBUrAGJQfI1prJNC1X2Y7ID8fIkhw1AsOHYcal1azjA7nqYx/IsrZZQodCeereEsMcIrNEZ1yx7YuhrPf+H2ZXzructpE4xaLO6nMYVKirawQq8PHpxxlCsUSUH3YVZ/ZCLEaDtn0sxjpo7BVpszIeuWXOgz/4/FGfzeJqWK4FSsQwzNa5FSmvEuSaRJ72DdzGwbjcZo7wZ0XvGcVD+fnPgudNPjtN12gQ177ZHGKdN+gZSxBUAWMXKsebhh8yd4mhg5DzWqqFJRDN6qA596DADw4Fd/MwDgsV/6j7jyzHkAwG993qvwtY88ZrUt+5xCClQbal66097GfadPA1Ds4fbOHmPNQSGjs/fQ/5m1W+78CfZXlhGYCbOjg77tjmX8ynm1Pok9pZtl0p3OsiI51vN9e53WqDeMDHU6XVMgQphjOcbjbKqN6ciPczYmi/hk174F6yn97Nwz6QekSHCOmG2vbFRRo3Q04rYjeIKKkGnmWhh4SFZ3AQC/du/t+Kbnzk22c0rBCcMgZgwBsV6TUV7/OzgcPByjy8HBwcHBwcHBwcHBwcHBwcHhlgArKjV7I4MxLj3uQ0oBjxhdtVrdWMij8dhYrXUyztFggETYMffX88w6jhz4hnoTxygZ+XvaigV0YbAz5bq2NyG/Xf/cg6U1LTn+1bwZme1FXuy9+kAfnHqlarRpICV0/oBffvAkgqHyXo4rPoaaCURntXohRn31XpJWBX8aKQ/UH6/soh1RToWEPBtTvNh27jMBcfBlshmXge9DSqmSqAMY9HrG41Ct1RFT0vcSsbE87hkGzXg8NGzCREhTAEEztxj3TDL6SrVqGFBJFGF+XuV3eUe9huW7VA6FP35R5d0ZlgQ2tneoD9I+PX/+AvxAl7ZWHsRSqYwS5ZoQSZr/aPnoETzwwP3qvAsqgf3SkUVcuqg8xN1uB5ubiskSRxEqlSo9k34naR68Rr1uSoe3d9om51dklxan55yZnUOD2F1CSpPH645TKhfV2TMvwicmRB8BEKh+/9nTs/BH6nr9gCEmr7dHstrqRghJnsJmGY8Fqr3/7fw2OrHaLkLFqqjX6yiV1f6trXWUSFdw7mE0HkKoNh8oV5BzLiulimJ0kczOzM6qRKYAhv2ekTHdl3fefY9h20VRjPU1lYstUx7a9jAb5onN/GQmR/vfvv8+HCeW0a+eU+/8uZXzRi/4nodKtUq38NLchhXKXzIcIgzH5rr63lktZDNBVDtmSB8CAGcMPWJH6m9GsSWleQSfCgzEUTxxransMRR5uxlq9GwDyU3ut3c/dAL1UOmUXokhppxxi+T5xphjd1N9X7cfncVvJeq9/N5TZ7A7ViwBKez8GUW5ZZgpxnDlyoUD102MMckxWSa8SUld+/2+YsplT8r9fb2+LPUu/urcLBYXFCv0fcTGeWblXMre2CPfi9k/rQhLcTKt3N/mQuofbjElCnNicoDywkHY76ygvYX5TDgqNL6NpGc2/5sHjuB2nVepVcY2eaeHdI+7xkCpR0y/hTp+YUv9ft/lTWxF6htjJE/1WtWw0Tv9oZUPCIAUECKCNAniDgaMMcmZl2VCMPu5CyCn/nGNUP38NfU6ZmaV7P7PHaUfLtvsQJttNo09dtVmXEc7p5LbrZxSpg35/ipivKl/PS9AVRcgkBzg6p3//GuOoz5SY0Kn7EHQeM5JiQftEKWuihDYrgf4YKiu974Lm+jEpJOkzhGVC8owYs5MzlEhosPRTcxTc4QMiTJllPAcq1fPV+jIl3Bz9czfODOHE/OzAIDfXFVsoyvD3cy1JzlRQHYcKWKFcjPvySaVL9Z5gXl/6pzxaJi9rs5RJxnMQK3lKsOqzOujrDyBeajTuN8XgFdTBYx+7qEZ1GgeftttR+CdOAkAEEM1x95+6hwWFlUxluZ99+Df/smHAAC//8IldKMBNUPp9kajjvkFNS/tdjpmbhuUy9jZ2kJyWLqJ+9hbF+Vow4ylRZ6mFbKamqzevpbq8286uoyFxTkAwHtXlCyd31lH4fedWWfZ7Ff6ybPPob8J3ySoB2aouMxOezfXzlyb7XEy82wcKZOrgF3IuB/+EecAAQAASURBVBWlkflA1b/cQ52+oz4rG930628+joDG+e2AgQc6zy2tYbZH8HeVbornavjThBLTP3sFOzoPrihgq1nMbpWIXv0RReMD100ODnncnKGLUiUuT0gJdzttU+UMSMNzdOhXhiZ9laR5e91XK8WnYom3D9TH/DODHWv/FKpt4WhbYNSyB1NZcFzmOQraP+15WIHC3wfK1I/3Nxp4nMLdAG4GZF8wrHB17Z3tPo7NqgV0qUt08EY1NXr5Pt5CyTPf326gT22KhrrqhkDRoKJy5OoEtodAxWdqItZoNM2CwwsCzMypQY8xjmagqNzaYLG7u4v5eTXJsJPN73Z2UaNwxJiMBePREDOz6lqce6Zao8eAbldNMs43W3gTGT7WEzWIDLf66HYURXhubs5UwgkCz9CitSF3bm4O7R0lh+NxmjR0dXUV5ynEcmFeLVZfeP45M+GUUiDWFYoYw/yiqgjZaatr9fs9fNGXfgUAoNfp4NLFs7S9rxLKAybBaxxHKa1eCmyQAa3RbBl5OfPsswCAh+da+NjWLvU/x+tf9zmqT3bP4RJNzrvbIY5TNcYyVWYJGxUwpu53e7OOgCpXffjoUXhksNm4rK776odfjdXNLXpfbczOqfeljW6HAc/zMTM7i+2tTUPT3m3vmP2loGQMpCGFt+zstDHoD2jbKK3WGIcFiz4G6ElUzvjFPGVQero7xOsp0elza5fotHTSHAuBHulFIE2UOh7ZodfaqMCgdR4rMEwsHjlmijZ8zqtfjcura+a64eXLmWuVymVTDVeKBAkVUGCcmzZkEwDvvbqtUD+dbtTx+C4lj5UxwNSz1xjDZap819kMsbxAFcg2yQC3vICZZSUTJ2SCv7Wovr8/m1lAb1t9u/obVnNje9JIC1nOrNDew0R2kaXDlNU4lxtc8pXypoXv7ROfFsB3kwHyp1cvWGfr+yFnOMk3fcpCLuNvKhifpoXV2UNsYeEWK9m8nYDeXvyYxPXpaRVPjU33t+p4rN1Ld3gqJOpItYIzZLxdO9fFq04qfXpnjxwe1QBBS+mmwOP4lnuUbH2gLbDbV3oopgTWzZk5zNP4Ut3ZwRXz3eSe+6ChF0oZywT9W/Tu2LW0xzY2FhkwgadigW8hR8UvD9rpLj0/Yd6EOE/8LrZcFG3YPzKyaF8ymWLgmnIveu4yydIDM008tk26yQolanIPlz2l/9ubAxyZV+NcvU3Gq1YVYkbJ0tFKgLfX1f4PbiXodreoabqCtSXbtitCAj6NA+HIqvx7kJACpXIFEelJj3vGQBTHsTHCV2tqTpQk08IprcqjU+VtUkCfCCO8cayebWWo+lkVPbFCufb5KH4QQCSp4eDosjIMLR05CgD41OOPpQdbbWSMmTDvSDsduAeYSpmpsyhb3MqG7QhIKyxqlMkIcXqmik/uqLkC474x+vuS4SIZPXbOruF2Gh/qG2pMby40MXNcVahuyTHe9QYVjvgXGyN0t6j4DRnhm60Z1GtK5104fwGnTt0BAOj2uiiVSxiN8gVDDgJ6npFb39hhzAUyntbSKFpL5X4Xxddb7+PpMML3NpTx6d/vPD15LHJjV1FIc5EMW7910SjP80zhprvuOoXtLTVH3N1tT6rOzBhuP5v9HeXXjACTApnqwnoeRkbXB+dn8eh231yXka4og+MSXXt3Y4TFRSUL9W2lt1sLDSQlJaNztRK+lNKy/OnlWXR2lW5KtKEr4+RKG5fEhyFDDg7T4UIXHRwcHBwcHBwcHBwcHBwcHBxuCdyEjC6C7W2UQBKnXqs4mTCLZ+mq+07Kq2+kfypL9l8ql/GbuqSysRUmyFr5i7ymBRTSzLF80uFjl3KXtusxd4+XjElXaUgukyc6VjJt7uMUJavcTSR2Q2X9P7FYNx4WeVR5RkQskJSIXRcLHN9Wnqb/cqSErztHHk1zYft5RKY98hBZE1JKRFGEfr9vEsiXyhWMKMRwOBqhRc/bJY++xxhmKcn77NwcNteVR34chYZltUsMI864YX0kcQRNWhGeD0aJjh9iDL/9+KcBAH3yCrYaDRMytLOzg21ibAkhUatVTNsBYGN9HSGxymxvJufcsM021tfTcwrERghgPFJtnl9QbATf9/DkJ5Un8+777kdE7K9KtYoOsWj09SWEKZns+2V0O+pdD3jfhH7G1A/Ky61+e+UahqsvqP4NOHqR6qBjiw0InSDVyFMCkDdpKxqj3lbv66dKZXzbqno+jzxWH/zgB0z4aRzHhvF2WInoASBJYuxsb6NSrZvEo6PREM2mCuMcj8dWGKx6h2urq2hQWfPRaIQkSRPapk4wO7SpKHxCmjL2b5QC77miE6MXvGhpb2epVzTDmtShX/Y3OUmr2NpYh6R2PProJ7B4RHnBz509Y0I0T51SYRTD4RAXL16iWyQWmUea70OH/XLGMA61frW94Gl7xtS/T3R6qS71yrhzRn2r7VGCTqi2H1tumZYnx1S/jxCjRSzKTqmCgJg7f37XGK/ZUdfeoj71gzIWFlU4x8LCPJ789BPqWiLB5trhJaFPkb5HPwgMQ0D1W46SwzkCCtPUDNT8NfZ1Pxrr3lat4rfo20oTJef1sVb89lhp7bXCmbR+YkWsommwxXBayD6s/Xm3+ISXX39D6XFj+hA+vdu3jvVxZ1315VY/xOZQfZsnllvYJZmdX1bf9mpvgLma0jclxrCwpvTNn9zXxBs+plgTWzJl2vZpLGGMYYZCUXd324qlcVi56PW3dE2s9gK2XiHrRu4xhVJ9+IVBgD8aa5nUCbizYZvZxNzFt9mznS85dHHavGoa9c26L/VlSP3zRLuX9i8v4b6WYmYNIqCrZelYw7xucUKxvRMhkAj1/Y3iBIxCqX7u7hq+7UnFlN6IbaYmm/wtBeJ9J7y+djDGEPglRGFoT8NNNEWpVEJEY91gqNthMXNyjJ0804txz2LRWu9EpqkZ3j47g9/t9emIAqZzeqP0/lMQRyGYxaBeWVHf7MaG6m/ucYvxBfMcvu+Zoj5jHeouJYrD7K32FBZ5yIdUkjyRrnmyPYDWvdyv4pSabmF3GIPy4OPU7bOIdIGYU2r+OJYSqxvnAQAiOIkKrY/+85vuwlf9d8W83qG5XWdnB0eX1Fg3M9PCufPnM+09vFQ3eZ0N8z6ues9p4Yq0jVk6Xwp7/stMyN6XzM/hl148Q5s141fsofdybcowqe3nsPVtOncbDRXb7syZswh8XSipiNlsX/Aq/ZDRmfY4lx4S0f5Pbndh5I37eKBJYYyDBB2tm07OIiLZk3coBvJmnABSzdM8zrC0sQsA+K2H5vEV76dxzmZ72427lmW3g8MB4uY1dO2h/Ex1FNsoZCu3jNGrICfElKtCqoH7xzubVznUXpxNyQeQrwwyrQmZSbp10BQKeOG9rgmaRpz2XyytBZWI8Y/vVSFuy7M1HKFbjtfbiIdqysZpsT4OGDidV4JEldonRhHe3FILyz/c0PTZAJBFlNaDNOZNgjOOSqUKz/NM3PxoNDI5tpIkQaejjDpmIOIMVy6rXFpJHGF9TRm6oiRBrU4TAnpv5UrVXCsKQ1SrqVGjQSEJvxcOsbKtrnH8xAnTNk2JX11ZMaFwnAFDmjjqkC8pJTxatHPuI6bzpExD0/T7q1YqGA6J/s64eSbOObY2VBuGffVuTt11F0qUt6tSruAITYCe29k2z6ENN2E4RkT5lkbjkWmPDrlUN6SwBhnBfBdRH397RhlIjszWcUTOqmts7CIy8kRV30rc5DEpMY6SHk9HId5Choj3XKYcaJDwfDUg17zAPPNhGrqklIjjCHKUGt6lhKlGKJLETN50mF61Uk61lBDgZHBiDEjiXHUvxqzIxbR6JGPc5JP6sUvn0gYVhUTnfxfQ/5n5/vdWT1ImxrjR7XYzeU0GVGny6aeeMtv0+/c83xj0IKWRwZi2SZF/R5MU/FQ3pTpDJhF+6F4lB0fn6zhO1x2stxHR5I2R0IwChtgnin5nhJNCDYWVSgNftKTCPH77ojLWRlGIAcnPTNxCvaG+j36ve6iVzQzsMUAIE/agHAB5wydLF335c/cNCVDOlp9evYx0QWoumnPU5MM6kBmf0xZYLZNFbbckbuIzzY17dghiPu/KVdcFk0YLSWGusfTS55EC/+heZfRfXkjlqbO2g6ivjh9Iyg3oMUhahK6HMU7p4bIf4ksobPw3V6/QZRNT4fe2k7eZVqgw50Mc7xiy8jBtDlW4fYpMTavKmAlDUrL07l5UvN++7uEO91NvbTXiGq4jc9+X/p3Q/+3vNsQ/f6XKw7m01MCymAUA7K5uIxyQbiLDhah6pl9LPkOVDNfJMMbrKPflHw51tTJpzQWzARrGcHNIQx5jKuSwRqFuYRSmaRGAVDbM55bOLbPOG1jGBZn+Y4ermfAtzzzvz6xcKpgHM2tObxlOzf0xVb7tiob6PO3IK5fLCKUe01M9FUUJEOer9DLkUwsoWHk17TDuTGhawVhHY1wMz5yXxCP8k3vVXPHEsRaGOpVEpw9B1YT7DTq/4cOn3G7Pvfg87j2inE+3nbob71hSYXq/dlGN163ZWaysqDyh5UoFsJ3chwnb8HmtyDky9NxTWOOknptk07hIkyP435x5seD+OV1Q6JwpMIBbeoFBmrWAzhmZxDKVfgkzbwaACoUCamdVfzBMqzXaYbDTDEdF0zwL+s6JtEgVSYh/eb9a0x09MYuTtH7YvrKJcVe1LaiQLNW4EdcRhJmDs/YIX0A5h39/VafMQCrnmW531i2Hzyxc6KKDg4ODg4ODg4ODg4ODg4ODwy2Bm5DRxcCoooSxdOcS9smMtxl7W5BNokib+VLkmbxeV6PIebRy17KSlBZXTZQF50/D9bO4GImC8rlrr4HNKFFeksVyA3XymIzCGKW6CgUa1gIwor8OyHMRrw5QI1puVPYREmW6xjx8V0VRhv/QeNmSHMvtpfb7/uD5Hubm5rC9tYk20YnjJMFQV0cUwlTsq9WV55J7vmFVbG5tm3YvLS0Z2atTUnrfD9Cg0DWRJGkVm1IJIYVKerxswrb0feuNhqHPM85NJRcpJXxff7bqXkkiwPTvODHyHmUqsqnzozg2VHvINOTN4xzHjh2n+6ljjxw5ioAYXZ7nQRB7h3MPHh0zpES3nHvwiUHV6/TM/cB8w4S0Pc/lkrruyfl5U/SgP45RrSuP1rAewMvJU7Q2QJ2q9Y0DH1W6nAeGb6aiCO+nhPrHThzH2TMvqr4OAjSpCMBwMMBoOMA41qFxBwfNDuSeh75+z75v3lfCmOkjHcbp+z5GFDLKuAdJMQhCSHCuPczq+r7HEdsV2ozHNxvqO1lpLx9GYeub3KGMZ1hvKUHH8iAWsZg4R7fb0S0w0Owsxpi57uxsC1tb2/nHMGEvsYjSjVKCkbdfFrsooUOjlmst+LoC4zhGuUZMypoP0VDXGOvQufUhRlRJiNcqiF/5EACgWa3h/6EKXr9tNVB7iavVKnn8KSz50BldLPOeYvubLkj2ynjKstwXm6so0W32gH1cwxpDi5hYthc9w6rI6XibxWGfI5FWW7TH9omxW19SP4vFdMmMLV66PTPG0QEkT0frNaoQBXRGEeo01olGCUlDnXeFvtfF3QRURwRDDgxi1aa5gOEHqNLgb67qAg1pBbrV1TWrymmeQ3nAKGJNFIUx7of1Nf0GBbiaHNrMnYJTrsrQK7rW9fajNf/LNLvgGRhP502MQVfSk5oRK1K243KjCUFj1+4wQpPGOdEMwJpKxoa6UMlaHw2q0CZLHmKqUBz7HH99XsnSH25QyLSdziLTZxy1mhpju92DH+sABsY9lMs+hjR+1esNDKmoiccYIh06mWFYIbcNUO3PVZCzp70Z1mienWwOyv9AZqyztzKLFWzJtyksYulbXTWYex5YZDG6aD/njKr+2Y9jt7eAcaYaQcdalWjBABbQby+dN6U0WABq/2KthoTkKYoEWg2lmzbDIapNeu80VgTbI1RIj801qvBnFUv16OI8fuA2lWz/j8fqve3s7GBMbMFjJ27DMUrKv7KycohT8WK9J+2xSYeKemmYX5rUXKbvVMKsC80VGUvTn+QLomTaUNCuovDZq0XmZC7MC8ap/FwqPX5EBUtQJmZjPm2LXW17StEPdQuLmZxnGJpjle66faaJkKortvtjVGnexFsleDNqe4dkf7TaQ42eo18NUKVb9n2Ov7c8BwD4/VWrEFEmMX+q583c9tDC9B0cUjhGl4ODg4ODg4ODg4ODg4ODg4PDLYGbkNGlIIRdVjlloUDKSc8/Q84yb+/Lxe2z/DHX4caQsDzSRbHUezHM8u3jOY+OddxL8bDkcmt8CbGVtqTAJ4jZpD3bQGI8AksegxcqT8puIIAOMVAYIAbKc6j9LPxEHXhxFwDQGMeQVcWMYhFDne7/QE2xnZ7qWwwPq9RwuVRCFGuWy8Gb/1Uy+hge98zXUKvXTGJ1z/NMMlXNhOr3usb7V6vXTb4lkcSIicEyGKgcLNVqzfR1pVLBkLqde57J3bWzvY0KJbEfUT6n/mCAEiVTD8MQDUqIP9TvBkCZEpqHYWgS6UspTRL2KIyg+9HkNMokqE4hkgQrV5QnZmZ2FgCwsnIZDz/8OQCAerOFhTm1/YlPPQ6p8y2ZnFMRwlC/H46/1FLenU0p8UhPJ2nV905w5IjKg9RMQnh0XjcAuh3ymjIgHqpniogJ6B2rQZ5RrKFqkBh58mKGZln13x10i3seeADveOdXAgA+/fhj6PVVvqV+f4AzZ85ge3ujsB9eCiQAISUSq4+jOELUU/Lr+77KewFAxurjDcPQMDo454YNIISwkuPSF8VSj2Yc59+j1l9FvospCRsyTFjtSS9O5suY5Uk0ieut/FhCFOeGshKRa9bh9taWyR0nhERA3kRzDxll9OdfnlcsvfUoxIc7u7RZ52eKje4/WvIArZvKgNylIghIZSkhWQqO1cBfVLL0qlP3IWyrvIsvjFqoU568N2ype31k9QLa2zsAgG67bdg46pk+E5g2HtnMAtWf3PNM+/aFDJPZvnSB13rqNSwGTL6cuL0tk4NmiqzYHnLrPJ2wN02wb7F/8kmDi9ptJQR+K+UUagN4vK9ZJ/q4VPbmmQRCdb+uL9DbVf0aCol4RGMdjQM7CyWUzyodc/eReXCPmK7SwywxwT5vTsnxJ7q7xlMfRxEqxJqt1+vYWF/DobG6GLLfvI0Mm1xm/rEOsi50PSh6Lpb9ebWp1/UStq6p6Vc52JLLL2+qcXlNAI/SGGMYgyxlayx5DHKs5KfrCXTbSudHAggpQb8uolS5rQH/KTUfqpd8yKaaJ8hBjCNUbOWBumIoP9XvWO1Kc0sBDOF4jMODhJRCFcGh/lB5MNXvKIqtV2T1Z2a8KWLypeNXqpnS+aDaUDAPNDItUDwGppfQeRW551mMXFvfpXNuaZ5tZI7xg8DMo4TNCjOPk2f02MKqG1Gk/xjeSoVp2oLh8YH1TLlj55mEoLFuZTiET6y6QRyhNlD9U9as+wUPx2Kle46fOI6d84rpvjszj/tPqbxxb+iq53lhKcKZF54DAFy5fBk+zYPzXXRoKMqjJlPGVjq2sTT/rEgy+d7t4ifqdGkNK3buNDpB/0Fyo+ddnueZvZ7nmXk+GBBpFu60PqH3K205t3VX4ZiY5pQbjcOJZ5dSZD6lCTZZZk0o8XaKJNmWEo/1NaszSf8lXbLIJSTpoN1AoEs550axREJFgRKao8+cbKL2aaWblkYS/ZYa2yoJQ4MYhq+dVXP/j++2kdWhtkb4zMycHByAQzR0McZ+EcA7AaxLKR/c47jPA/BhAN8kpfydq185TV6c2brfBKrS/C87IF1X0t4psMMRrxp6mF+45I/JTwj2GypTrGCmJY/9ZqKr/skowidMMl77OHXsX15qgmmDUyQRDonS6gsIvYik81oDgdExXbEwRo32DwHM0iB1b1lRsZ+yil3loSuera2vTD/oOsEYhx+U4PseBl3ViFqtjmpVLT6EkFhYVM8wpsHH830MKMTQ9wPUKEyxUq2hqxfiOlQwHKPdbtOxaRgbY8xU3hoNB8aQ1aRrRUmCcjmtGri7q66bJIkx+GnqNve4NW6m4UOe52VDnaANXsy03Z6k6UlEs6Um0fPzi9igELMTJ09ia0vJ3szsDNptak/ms9PGEIm/2lSLyf85DPEIaJDlalCEGKNZV4PwV6CX8pcjYEShkCMuICkppkf3mBkKRCRPg16EgIyKO0mCo2QAfCUNtmcuXcT2tgpBGw4GeO3nvgYA8IEPfQS1eg3t9sGTWaUUGI9G8H3fhKLGcWwm1rVazRQS0N1er1fT4gCASaA/Gg2hJ7hmGpTIQmMvAzOGx+LvPreCzBgx9DZbr1zF+JFZaNA37/kmtHcchikF3yT4FfA8bdxKzLsF48Z44XvpBFVX3GLcw7ffdTsA4PfOX8KHO9bCDgDgQQp13S+dq4HpsIWIYUzGrQGXZpJapgeu9WMMj6lFxXqjjHJZfe+3L8yh+7xaCLxyRsnoR1YZHnr1wwCAZ596yiyO6vWG0QNJfEiLSmb+l6LgtXJ6/+VyBXHcSw/MrNmLxp8pM/VrGQ/ltPGlYF9mMZi/h0jjdFkars0YM4b8yUIzKLhO7t5MItVNDN89q3TI+4YxHh/qMrhaTwamS965VEdJh5NFwIDkaciFChEHIKjqcINzJEeVDO1CokIyGVUrkGTof6ih5O0TnTTcnVmpFirlEvxSGVF4SOGwZu5T8M6LkqpPTEVsg+a+bra/Rk0NJ9rjslPbcJX7TjPgZuY61rb8d2Abk6TEXyFZ+sPOEI+yUu5macjs1x5pICDnRBR5GJIsjT1pZKlM/VDpJwjvUCGKfDdCQKXSGpwjoGMepHlCxtBltZ1zhig6jJBFglTOsUTYhXBS45oyDOQNppbsSYZsWF++n2XWKJE5LmMxyJytwhEnw/uz1Vb1mGQbBnOGLtLxaaLwtLBPHEU5g0zOeGUb9zPPZBvk7VDsNMzx/1ycBQD8RnuIxwfaCE/zJiTQzuevPNJAmeYC45ChPVT9PuQSPbr3/Q2lj9hQYsNXjpw7H/oyeJdUIaXdbhdiqJLN30fG/efiOE2PwLlxMKhnnnykgwGb/M4yf8sJW2JQLiEmY5OYMGxK6//qWsb4hdynboxi3DgRtWPdC3xTzXzyW8o5bKb1TWb8s38UzdOK56RpCOe0Oau1nrVk8BspLPVPV7fxuKluq8fPkpGlr11uoUqy1BlLbFMBqSFLUKExuEL35p0IW3fQeqcPcO3cFgxhRV3vtVRFWBm6isfpyYJDDg6Hh8MMXfxlAF++1wFMufD/FYD/cYjtcHBwcHBwcHBwcHBwcHBwcHD4LMChMbqklP+bMXbqKod9D4DfBfB513JtBsViEcQKyPp0prYoPTnD9NL0V1G8/3pw4OVTi7yQ+3V96t9Zb1b+Gu/aVB6f1/lpqN23zCtmzweSAPdWKAkmA/rktRuPBcZzymuEgYBP1xPkHdpgDKVIWfwrwwS8r84LqhUTuvH6ivJy/3+sDIjRRNtL5RLuuutOAIfD6BIiwWjYx2g0xvETquzy7XecwvraGgAVStgn1oZmPIXjUYaYMKYErP1uBxVigun9cZygSaGEQqTJ6Gfn5rG2qp7H8wPUqGy4Cl1RXpyIaMNSCMMEi6LIeBa1J5UBkDp0l3HUiP6eJAL9nmJ3GAaEJRZJHJvtnDETKrm5sQ4AWFw6ikQq1tmFCxfwkQ9/CADQ7XSnMAvTi/+1FZUs9/VBHZwSxf/VeeUJeqR0BHdDvetmJNAjxtdwnCCeVf3HB4lhbwh6tC3GUCa6fmmYICKv+FKtYjr81SXl/fz1D38Cp08rWv7axrphoJUrFYzDaAoD9CDApoaO9bpdU+Zah27udjpGXcRxZN4pwExyds0IE0KgREyxKIrMu5MZLzdQrBssKoQdojTxHu0wEas8e1G4CGDkslqtoEueQCGztwAAybgpZgDmmTBGWcAwlRbrVsoEX/2JRwEAn1ubgw5Z/NZjKknuB0PgdE3J7ZyMMKJvZhyNEGrd1IuggxD0U6yDoTImiv6FFbzyQeX93P3E4yjTM58mlpeEhyc//YQ6P0lMm4UQ5puJDovRVYRMyL76V3vh4961lIPPe5av5TSL0VAU/jgtobnt1c578bmfkbM0CtKW0QxFLd1WxKbIsC7SAivfeEXp3c8LGobJ9a1HVLjFX8QeXtFQ73RBxuhppsQwQWTkKTHsmwGxENulMhiFQS6VPJTvOQ0AGHV3EV5WDMF7yYOuiCTEGIklOH3zfqlshSsfAhjoe7cZAkXzggLkv9Pc9118sz0PSHdn5jR7HD+FpH4dB9HuKbK05zXsNkr8jUuqYMwbSw0wkrFvXlDzpkcSjgcoMfg8gD7JUn8kEM+r7UkvhMeyumlTSPgU5jgzTFDr0ryoVUUYqWu8ivTOb4HBhHkzhqUjSi9ubW1aVzwMqNBFxmCSsYsoBuPp+KXHhjguYFhl+tmSyQzDqoDplw9vNgyVKYxkO+Teanv236K2WffTu0zBD54reDXJRptgiJl26bZbhTLMeQLfcEGlj3hjUDeHfu+yYsj87gi4v67kZpElGFP4dHc4QETzJjGITKGgC5RKpNWsYE6ofgj/11/glV/+lwEA288/iTMXlS68h+atLz7zNMpVNX+sVWu4/XY1J37s0cfwmUGR3ki/Ob01E5Zr6SbGmCoMYV/LGj8kQxoKKOxE8AKpmKptOoIj267iPzORQnk9NsEKtdmMU3RNYZGYKTq6UHdLfOezLwAAPq/UgKT0F999Qs1z/iLxcF9dfZ+ziUC/r9Yww36C0rx6/7wP+DnCWhsMHs2bGgOJ+q46b3O+gtkhsU0pjchkcTVaa3CeFn5wcPgM4GXL0cUYOwHgawC8DVcxdDHG/haAv/WZaJfDrQ9bnkycv4PDdcDpJoeDhJMnh4OCkyWHg4STJ4eDgpMlBweHzxRezmT0PwXgH0kpBbuKN1FK+W4A7wYAxpiUUGyV/ToN9/RaX7W8+jWgyDjPctb9yQZkT9x3ewr2T3XQs+wxAOb9ks6chF4cQZCH4WPxCGVPsUbOUYLCf3CkihJ5DdkwQp1YMyOe5gwKkCDReXXoflwmqFK+EVb2USfvmpdI46XfidIE5ib5vUwZMcPhCB/76Mf27IlrhS1PnHPZ73UhJbC9pVht4XiM4yduAwBcuXIZguLJA/JQ+qWy8RLNzS8YBs+w3zd5ZYh4gzAcU74loNtJkxC3ZlqGDZIkCRbmFaNgcX4eAHDx4gXj3V9bW8WIko0KkRjjnEloLNIklYylnpLRaGjao3MiBUFgPKxSSvNM5XIZIb0LnV+pWqtjZ2cHALDb6WJxUZWl3tneQq+rc4OotiyWahhRe3rxGAn9fmTcR4OSP6+RTfHvVSQa1H/jKAGnzhoxbs7zmYBJ40Ty5IkEsyQuQTVAVSfCD8qI6dgtYrZwz8enP/Vpes4YYyoOMDO/iFazie2tNRwE8rpp8ltPP0ohBXz6BrqUayocj42HETItuFCtVsz2Mb17BpmWMmcsl/Mhf8+pLc79XeSaTGUoVUOTHnoppfmdCGny2g36fchc7hPP80xJ6SiM4AcqJ2AQpOXp9bWWSjUMqB/68RgJsXw+0dtGxVfewrOU6+x7Ty1jnr6jeHUdWvxHPkOs85mxxBB2NeuUSYE52r3b2YYg1+XM0WWUKC/LeHOX+oCnRRys7hoMBmD7zpm4P0zKE3Ke0XQ8YYwbGZlfUHpjOBxi0LcSHhZ4VIvArP0qP1qBnF2NTJwhEU+7lz2+ycljM+dR0mhusQHtFpvvxi5MM8kemy81ENJ76kV9SJKLT4QDVH0lO+cpf9L3zPo4UVbXivsCUUnJ/BApa45ziVFEeoputTg3gyMVxcodbu7g3hnFXk02NxDeeQcAIHrmTNowLZvcg0+56+bn5rC5sYk4SguOvBRMyhL1mSxiE1wFV53HTD3xKufl3r2lb656v72Iq/lzjXgUXXcfz0XytxBUMKR3N0hCo68fGfdR4iRLxAT53qMtzAakb4YhalSIZMgkIsqdySDM2FXSybAhMEdToKTiI2ZKr1YkQ5W+j7HOo5Rj8upxOUmsYiYHRF7Oz5s8P0AyHmUYZfpeiSxgC2dkD0BRDq6i/JE2Y3kawSWT3N3+MYVlM3EB+2+LpWpopcgyqGXBdc05dvL43BLL3ELNAxZLFYylOq8b95CQXHxE9FD21Rj5LDG3fnR5Dq1AHbuxO0a5ovYPGMPYMGEThAndhAa9k5UGlhIlQzvdbRwJdDs9tKjA0JXzK9T0BEOKAnjjG96ACxcuAABarSY63WthC++NrG7iMtP31wxm1gwSXtr/BexYZr07zj0zn8oQsqbcIvsARdunCOfEWGgv1FhOjnOnF34P+cupHXNBGREd1IvH0GmwPj4eoErzrWcpl+33HZ1Fja7njWJUKA/cEAJj05cJ9PJMz5sQMDRHqn83Ao7BAjEJwwT1UM3JtsZpwYDMetbKS3lgSsnBYR94OQ1drwXwmzRRXwTwDsZYLKV8z76vcN3fyktRqntAFvwhLaV2VdtVkcErV3Eme0Luz/yk0VoISDLSeErh/cR8CxHtvxBG+JEdlbj7K1pNfOvyLAAgJMr8TC/CmlALgZn5FroUdsGaJZPcmTGOUkUN3rJPi0LB0eqp30mjgpVAKcDbxgn6tFB9E1UehJVE3Z48JEkCzovo5wcHzj2UymXcfbcKdQv8kgklLJfLCKjyjF7sRnFowsraO9u48w61kGl7HDuUeF6HDPq+jw5tC8OxqZS4cvmSqaA4O7+AMi3WP/n44+peSYIaGQ4C38OY3lWlXIFHBgdN/+VJYoxeEjBJ7qMoMqFu2jhmJz8GgxkMe6ZiVBqO9oG/+BMcOXpM7e/uGuNMHMUAVHsDkqd/fewIOE2+r0QJ/kVXGQm+aq6Fb55VfdnuqOddHAlcjlQ4aH2ugW0KsfAaqTxJxlGpqveeUMUYT3LM9NWxYb2EYZX6ZLePkIyvD0dKrsZhbE0SpOmT5swsarX5Q5epLNLvUldL7E1UTczCrq7JrAmCXlgpQ/GUydR+il4ANCEs0oXpsVpWOEsLHmgD7Xg8Mscp45Z9f5m5UhInkJ5OmF41xw6HQ0jSTYGv5P075xt4aGYWALDTH+I7Vy4BAL5idh7fcUwZdCJaKNRiDk7GiLhZwxZN0rymD10vinEOUab3TbLEhIelIRk/agE++vSn1D3+yrcCnnq+r6Yw2X/yzDNIK4amkELA10UHjMH+oJFfsDOzgJVSmve+Q4UXJs7NTJynD0DZt5U3rIlsUyaKuFzHOFpoCJOmYIEEM/otk7e2KHSf2YsFDq2bPHqPP//AXYhIVq90+vi+Kyrc7CsX5/A3aKxbIaNmpT1Eq6Te+2Cuho6RpzIqljmwVCcnBclTZ20Tn/PwGwEAl+Xz+MCueh9ffMcpzNI4+tbSBauNaZ9qR8jG2mphVx0Y9KsqCo+cCDMxOzL/qOtcy/vOGx5zjrypiejzspvDxLa8HtufgbcY1jWkes8+Of9+dLGFQaB0yW4k8E8pRP/L5mfxrSeUI2iNqrV6O33USVf683W0teHWkiVwCVamsZmKFvhxgEWqgtdpVdChLprZjVDuKXn7Uioe9KPchyTdJKUwxU4YY6kx9TAgVZVpurF6FMaNMQiMmTD9bJiS/Z72GHsYQyYkutAYLjHxvhmDqegmJZgdvsm87LETckHtFDKnTwBIu7Jfbu5gz7P1dXlgtd2+hdoeUAXv3/zCNyGiNBlnt9v47ssqdPEdC/P4jlOqUuK4rfRDrTtChQpaJK0q1kk3+ZY8JSwBo3k4J9202x7g9Kwq6DRKdvDp3/41AMDpN38x7nizmt993ep7AAA/Ijl0yOv7//f7M9XsD7XGsDZyT3X0F9w7UzFT7fc9zzjZTJVEqyiEtAoCSCFy95l2b73LWtPlKx7uC0WeIks+7PmYbawt7HYG0AwnoAJG/+Hu49ikeeNOFOP/1uPc8gL+ynE1bxLbat7t7fQR0FjbONLCDsl+MFuFLn0gmABoDu6R3hmFDLf1yAk5X8KAzrtzKDFPobLfREUQfhipLNnfb2JXFJ+SEsPB4SDxshm6pJR36t+MsV8G8N5rMnI5ODg4ODg4ODg4ODg4ODg4ODhYODRDF2PsNwC8FcAiY+wSgB8GEACAlPLnDuYuxSyEyf1syv6i8w6C5WV7qzDFU3qV04pCMXIH6/C/NPQp55W1QxTIC3sbUem7AI5SbNgcT5NkvqoaoEyhOz6FZ3hC4BgxYILBCBVqU2+zh9FrjgMA2pGPLlGsZ68odtBcuYKBjiUSifHMhx5Dg5hNkQ7lC0ro6ASTLOvQSA7TMwkVLub7PlZXFH07CEr4/M+/FwAwGj2AZ59+GgDg6xCpOEKNwvGSODKhV71eDyeOq/54/vnnAQCDQR9zs3MAgFIQmNLFu7u7hm3V7/Xw6KMq4XaJGG67u23D0kqEQLPRoPaMTBhjlUIhOGMmLCyMIiR0D26xt/R9GT0foFherRmV6HRjfd14Y+1k6pplUK3VsbCoPIxhGJrwxpPkuOxGEU4ShXrgcVRKaserAh9lkrN5kqcyBOa0WPdGaJBn2N/sAq85AQDYiXy0KQTkNXc/BACYaXcwmlP38Mocm5vbAIDGwjJKRL0vkZDNVyvYoQSbUqTe2O2tLQghkUR7M6puJKTfuW9kQqGI/m4zbKZx4gvYFAUhPzb7zw8Cw+RaWFKJ9C+eP2/a1mw00tAGKdOQWZF6SbVnfzwepfeWgPb63U66qck9nKJCA4IzcK6GqQfKPmZIllYG6v1xL0JIxROOzjZRIVURnt3F2ueoxMydOECP5HX+bBsAsFwqIZ5R33DEgKWTt+P/z957B1qSXeW9v13h5Hhz385penJOEkJCESGECEaSZUwwwSLzHjjx/J4jYDA2YIyxRQYbBCIZBEIgIY3ijEYzmjzT0z09nfvmcPI5Fd8fe1WdOvee090z01c86Z31R9/qOlW7dlWtWnvtvb71LYDmhYsUDh4G4Nh+TcRbMEyaYRTFHyRWdndcjwx0PmaEuQowBFGgDDNRqCBKwUiiHJJy5TFoYMSJ9GyAw3BEG5dDjY3MCRkydochvi/3mURcKnN4G8NIzMMQJCl/jyBTzy0ucpsgdLspG6TtO/Ip8nKfOU+fX1SKptg/f7OJimzpokfpXq0jm65FR2zTPfe/AYClRx+jtqpRXAduvZnlBY3SWAkCClLI4HbR42o6y0avj6CNUrQXFxfxPG/nxrskujySAcL+YeckEAbJdK1XWsxjIKUl2rflmMup7LZjt+4Ycq8vWUJQ+v3vloIB60HAnHzyPYjt2O2FDKboSibym4BMlGpYa1GQ7eyiR/c+bVtqnk1dUFiTL2wA2ja5RT22+wSx3WwpMAt6f1G+94JpUxcblC/kueseTXe7vr7J00890X8U11xCCAMymQxOVDQnDDEEqYTSKF75IXFeArE1lNA9idwahQSLdMfYrodhgIpQWEqh34K0Fae0RW0lbVs4up8D19/SxwHkoW7PUCbBgO+dPFzryF7JElis17mhqVE2NdvCFuTgPeUsWUEkLYkfk1IGa5IdUErbzEp/u0sN2vdqfdpwbTryPr6irf3OeS+Hc+Y8AO3bjhIIAujE6dPYJ3Q6dV4yEKbyRVYa2o5Ztk3K1u+z3W7vYAEf+vYlfs3JuUzCJ4lRtcPnWJ7vMTRlNrGtEuiu/hWGIKe2qcNWndhyTHIgvCygdIShU8b2Y1Ty+ER2T9i3TfOWPm+t02G/vFvP81DyLd5ayJASXVIyzqUAQ2yI2mhSEBtTP98j81rt/2wWUzTENh19UWdzTKfTdOcFHUgXX9pwTcWLKX0f+0VPilaKhieZCVvmwDupSmMZy1bZyaqL73kJx37HS2wdlUil0ROyJO/ElRzrK8mVFpleRlOXPSAJmU067GwzEMkG462hsG41OKCLw/rWgp7cVf2QrBipPZbFvK33TxqKc1IdaEog+tMOdMQQthtdumKPe6ZB6rRebDD2FEmJM9g7UgGgtAarK3rQ3I3CkcqNVqcXT16jQecPKjm+Zkl4nwayFsI4zWwn/H/LtJiYmGRubi5OCQwxuP322wDNTdXco/m6FgQK7Dg9XEdP+g8dOhgvZFXKZeakGly00FUpV9jY1A5sOpWmFy/mKcrlMgDtTjd2IqrCmZDP5Vhc1ItMBw4eZHVlRffXtrEtM+4b6IUwV1Kn0ul0zJUV+n68aGXIcw6kUhJI5b7EBHkrND0kjB02z3PwXEkhTCyMvqmoF+AmHD8+e8q2Scn4VqzA2bakwIo+lXoeWXnBmz2PjrRrWCaW6JO1p4glk+zjS3qh8c3zNzO9Rzt0k/ksn/nQX+pj6xsoSQWMOL7+Zy7F2xp9aHu0SLN77z5y+QKrayvsrLwy2zG4XJVMjRji8MdnjOhDyAg4fqKqYtKuxHPf/vUcpxublgvnzurjDBUjz5VhxN+P7wdEVRWjKqTdXi+2TeE2niB9jdcVtQ0y2x2etbTeHsrm2C22aa9psi4LYHnpy+6ux4o01cSit66/tZqpsF+UdL69RYyoSt4terE2vejTrut01qO5HDI3paAskHSkFz7zEAAfnpvkNRfPx/2NdMkyFW2pyLpzIjU14zSgvj10XCfeHqwCNqyZxP4RgZf4iAEnfVg6xRZ5WesJQ05KpOnr7iZ0fSBNRY4NE5w4A5w6+rzXSoWy+0ODUNJQy6HPnHDfFIOQM01JC8pKKnbHiZ/laqNLKvo8LAPzlNYnY0+RnquPefaUDlBMd7p4Ys9nixMsP/o4AHtffxve5zVXYEcqXz27dze7XjjRv+9oASSbpdls7GCCkPgEQxa1k/3oH94PkA36E/L/YW0Mk8vNakb9dqWHsNXN29bM1r4mJo7h1r6PWmHr69hrS9oGTfghaRljpiyTOeF4KxFyTnSplNH75h2fhoy/6y0HR5pNpSyKL2g+UPaX40q7azfp1Mc9yyHdDZlYKoN1SUWb6nhMywLJRZm4fn7vPMde1NXV0pks62L/9ILPzs4mQ5ROxRe9MA0TX6qYmqZJSoJdTiLFvf+szf4iemiwLYUpuUA+MF6EcUBOhT4DwZ7o70DKY5KvKTEeAiT4TAftozHYBjCYrphoN9HP6PMYTNVMLNiExO2+qaoX3it+QFTub9o22ZsVf8owONuQBS5JUw06TpzHXei4dKVZRyk4qf0Z40A59vWW53W7U6fXCaXdu26+m4XmJgC7r7+D80/+ZwDWRZ8+Mj3BbU2tQ91Oh05b30u5UiWdslldvTbcptslsi+JbzJ6jor4GYYx7+aWlaQBVd/y7sIwDm7o//b1KkxebxgP5CiJuduSC5rDfKxhJ1+FhU+Y3dFjpb7P14sPPmfYlL0oaJhilx0tigecrWk/ZSqtv8nd3ZCe6FJns00QpahaBv5z2v8JDlf7FC336mqNsxcCchtCA2KHXJS0671Njw3pZ1v68IUjhzh6/Jmh92bKHCb4Ego4j+VLV8Yl58YylrGMZSxjGctYxjKWsYxlLGMZy1jG8mUhf5dk9C9LDGWQyWQAhSGRsE47UWVqJJpr1Cr6K0V/JUQlNoaHx7f/PtCtIVH3cMv+y8G2R0Jq+6kfpyQ1ZL5sMyHBiMlewK8UdfR7tuNzUqqy7CroyGQndOhKqlDONOkIMmdT+Rg5rUJGrUfH1G3POPpv2/OxJVLQ9XwKHb2dCRVdiSBF5NpuJsMdOR3leqy9Gd9bKpWh50T1Ia+9BEFAu9NmbX2dgwcPArB3/0HOXdCkoEeOHOHzjzyi7z2viUC/9u1fy4Of/SwAzzzzbIya8jy3TxAvEaRyuUTgRylbvX78KAhZlLRA207FUaYTxzf172FIpaoJJJcWF2JyezuVolbTEVJTrpHNZGgLCWWQIKjO5XIxomYjivQm0q3K5RLrQmJt2ynSkjYZXSubydIRouRer8eCIMzCwCSqJnRRIj4XimlKolszvZBfK+nrepsd6oLkKxb036bvU29JuqJS8XWXQg9b9EnVeziGoNykilB6326u/wf/QN/GxQWKf/O3APgrK7TluUf31krb3FnSSLtH68s4jkbSXTx7htLE1Bch5ezlSfROk+lLsc6EYRxh84MR6VzhCFsxTLaS6sr5EWJJX6df+S5qLkJuOY4TV+1st9txJFlZZly4odNJVgBMpitG1zZjG3hR9OfQRAEnig66IX8pxQyyPZ+zwpQapvT5p90elqOvZS2vUhNi+jV8AtGlYLNLTy5XkaxcNwzIStpux/G46aBOVeY974ZJDc2f/Ku/1v1SiruFzPdS3uJeSQ/6zIOf23lEVygxZ4k2G4YR2xuF6ke4B0+Sv1thL1eLFeqj7AZS1pJIoKuuUvxSx9JkekgCebOV/Df0E2mVydQUO/7/sqQBPVAyCcWOTfZCfkqI5FO1Nt2c3p4QAt2a61FrCQLVNGmKPtVCDysviMVaF08QKKbSute2LXJSpfipJ59hbkqTPNNo4RzRqSDW53T14HYpz30FrXufa9Xj/tYazWRyys7IyCIWyauOSFcd8Fleit90GbTpS2lqAN3wUp7SqGsN882SvqIZq9iC7DtfTlEUOzXphPxsZJsaPTYyWj8OVjX6q15rkxMkYSmVZi2tf18JXLyCuN6bXRzxm6YFPebixghOwwuotAR54Qc8K77udWJLvUyGu4oaSfhkrcYpsUflapUrVTN/ZaJTwPygT6Gh0d+6r14QoNRlIPhh0Ne9JIIqRnYl31nSFqhtyPOB49UW3Y3HuMR7VQzZl7wGbE9zTBwbQvyNGMSpBuHQbIrEBZUV3/M50aFnOhuczuu25j34BdGdmbbH86IXk+JLdV0fTxDNFw0Vj3Upy6BR1LYu2OgSRMN3/PgDilKhcekjD7D7//wRvXvvfvb++Z/ozf/xPgAe/ssP8ZoJjXr+zPpKfB/1Wo2qVAbfGZHnOwwhlXw3Q6sIK5B5RgL8FVfq1VmyI9CbcRNDfKSRqLEt6L/+f7a3+3JloN0EejDen4rRtitCKn8m7dMSvfTaDj8p1AzFpktNivHslTld1w1wozmDoegIorkdeHgloWhZ79AVM5WT76jnu5gRLQUG+5qSrh3AlOy3unocvGCZ3FmsAPCFZi22aZlMlm5np5HwYxlLX8aIrrGMZSxjGctYxjKWsYxlLGMZy1jGMpaxfFnIlxyiKyTE9zw8z8NOIA+uGDXccdma452Igg8tib7luG1yhchlGCZ+i66V4CfY8jhmBDXzkZrmdTrn5/lWiQIZJmSEc+R5x+FCV6/SH5Eo90LOIicIrMV2FyPQ13AsRban93cXNynJRdNCiKhcj5ttjYLa9LyYtBTTpCz99AWV93gY8livXw64OlEBNIF7R4ikN2vrw5/FKxDLtpmb20W73cYX5NXzzz3LnXfeCcAP/eAP8uEP/xVAjH565plnuOfuuwH4gw/8IUePHgFgYWERV/imomjqyspqn8PCsvrPgH5A0/M8LHlmoYThgjCMOTbKlcmY/L5arXDhwgV9jAR6stl0jOhqt9vkshlpC9bX9TOLoqAKYt6tWq0eR7qUYcQk9jlBgYVbdK+PHjGZy+j+/OWqjjAvqpB/KPn/dQsygupbcJ34mczntQ6ey1nMSGnkzUaHpuiblzLJBbqfxU6Ke+/S70A5ur/Z5ToLn9K8SbtuvIH73vxW/T5+63coSVfXJGr0YhDyBeEwU5gxMa5nBXIfO2kbXn7bEZLLtm081xv4zbJMXC9Com3BfoTJiOdWuOhlUD1h/5uLfneER860rPi56ScmpPhybEgfkQl9QnSUIp3WtjlCzvlBkKD7SRDCBiHTaW0j/lp09axX4QerWoeXTYWSCGGv55DqiY2Z1kiKtYJFPkKFtnuQsE1psSf+QoNJuXRRyFhNDGazWodzRw5Sft1r9QHlIjymeZcm77odgDPHn+eUPJ4Ds7vYu0+Tkt+wscn+fZoz7uGHH2RHJCbODQf+bpOhCOGBhhgYkxJtjzz8cnIloNgAovllfA9hePkoexKNOMA7pWIeo79e09//Elm+Tgod1CyoiG3acB1SQnRjyljXLKYoyTNeb7Sx5ftwTYXV099juNDgTcLbWCtrpN/5k0+TsXQbd95yM6agwmqf/gw54Sh0BP14ot3hc62IjF7FhRsUIUqZqGDwu792IqgENUxZVAJhEyEIRinBFrTdwP5o37Dfkwgao/93gEdpSNe23sOoLl3m56HtjuS16/NBlYXP7aNrGhF93q3wnrIe5xommGJjlh2HpqAG7aoUjqmksaTtWqODJXaqZ4QYMua5F9dR0g9bXruhjJhTaKXRYY/4BqaCkuw3xfc93nN4SlBjtm1zxx23A/DUM88wMaGt3vLK4hUeyksXwzDI5XJ4nhsXxwkGfFJFGI8tff83Qm8HQdBHVSdQhmFUaCNJKL7VToVD9DdGfCY5BS+nv+i+XokLdwDFuv2yQ1FgxlakdNSIwaz4Vh9e08/sYhDwnooe61aVoirj7alOl3SE6pMCBPWiTUbG/2ajGyPJjGyKlKO3i5dq2OIYzpmC0E+luV501nzzV8Ptd+juPP0MnNZk9EtfeEL3odXhoZq2TcVSickprUOXLi1gmjs9XQy2IHf73+W2Nz5g84nfY6iMbeituCBOdF5SRiHEBv6/5fdtnJDy29DCBQMX295u0lQOuxYQ+2ZJJK1SzAhK7y+XawBc9AK+b0Lrl2UbBMKvttTrEUo2jSpr21Qrp8iLvp7dqGNJQSgjY1MWtGHq9Aau3NOkrdud7Dpk0nobyyQUf91XKh5W2lLA4IVuj8ca9f79xD5MsKWo0ljGsrPypbfQFaLh0srAlZQVZagR0FRtIDSX5VYo8rWWrRPMYekB0c9DYM39g0f8vcy5Vyxh4XI4pY3Tsixo1QMFkv5TUxDKIk/BBRWlhEplKVVOs2TJYNtu48hgXEun2buoB0XfD5kQJ+aAGD8nl8MQZ7mQtul4/UlxT7Zz8v+jyao4hPTEeep2OvRkoWsnxPc91tfX+aZv/CYeeOABQJOiP/PsswD8xm/9NoevOwbAHkkbOH78OZ577jgAb3zjG9gUsvmTJ09SLOoJeJT+ZVsmllQ5rNdr/YWuBGlyEPg44qgkYfkNqWLnum68MLC0tBgvREWpu6CoCIm923PIS4plvV4nlOqWlgw+3U4nJr8tFPKsrenFhWw2S7uVTAEe9qkINNmGw2m9vejrd77sGFASfQJCYfdudcCNKkJKao8qp3lRul6vN6mJ7rXTJiVXO2RH9u/n1e98p27jUe2E2XNzrEeV/eo1CvfeBUD10UfYfOrZxHOFw34Q37PrduOvyHNdut1Of1FmR2SY8/TSJPB9nS5In9xWV868Cids2zHJVIpBzyqMbGS0iKUMslmtP91OB0NIQ207FRcj8BIVPH1/SHpKGNKTRYHIIUzqtVJGvziCEXJYYPUrjix+etBNRZUFFa60lesGLEsb+0WX0tUM65Jq3W13ccRh28yk2begbVPPDynJfe6WbzHIpAgkfbJ66CCf/+n/BMA9v/LLIN/25hOaRPxmwlh3n3ziCf7V//3jAFhWis997qHt939NZdT4sOX32MceNSkclrpzFRIOucblGhiW3vFyJVbZEQGk+DiV6JLPAUkhW+nqd73qp7AKWr+bYUjo6e2Ma9CTybYjY51ZzrAilV07zXZc0W7DsrhO9MkIDRYz+huZknHs5sOHUJIq+exDn49fQ9pxOSwLFb05Xa107vx5+gvLLmEYLRwrnQrs71CqfqwKiYc3UFVzyALCsMn7Ff2NrT7KkOOjNoz4n9EyahH3qs3slj4MLMKOuhiAx6GMnhg+KjpT8wKUpIw1CFGyP+cokHHVlfQyYyLDypQeq3v1Fo6MiRezJvsu6nFsw/Xj9PAJWfA3c2lM8QdCYFnGTzMIOSa6tF9I8PdbRmyX05ksjgRHWq0WPWvn3Hs/8Gk0GxCGA4vvccAuDGPd8RNjbVSMZ7tvIQG32NYkUvOTFfgGFrKG6W5IP9UrkRKZrPIYt2X2F3W3trXNjqnhejh0QX6UojrsTWt9Wgr1c1oLTFJir1phGG/v7xqcE73ISuU7YyLH+pTWEafRoSvvOl/McHBBp4K1Q0XJ0LpxMKevFWZTNKUycdlOwe99QLrTI1zVJPbeCV08aTpjkZEg1XXXHYn93FTKHj7WXyPRrycxb1LQX3AmXgwe/qFvfQdb/J+BQgRbFli2jiPJ07e+x1hpzSHHXC7yc4W+byXPT24OLG4ZiaYcDmVkTifVwVacAFMKYay7Dpb4VVY3jAthNCXoEk5kWZnR56drTWpRNXgs5k7rhbN6CKUpTZ+yW6hr2oUctixGd9NpaOo5Q5eQkhnRauhnfBvJchj9FOdut9sfd3aqwvBYxpKQceriWMYylrGMZSxjGctYxjKWsYxlLGMZy1i+LORLDtEFEUQ6sbidiBipAeiqXkEOt0HwR8Htk/9/iXK5st2XhVKPOHYgGjHq2MS143OTUYF+OtKDzQito1fj31Cx+JsNHQV6azlDx9LHZtMpjgiK40Uhw9zb6FGSCOOJiTxWTUP03VaPQCK9e0NFSSLaTsSCGYb05F1s+EGcrqjCEE/62ZWVfVspCL34vLZEHgyD0ek610Dy+QKvfvVXsHffXqamNQlnr9djZVWnKX78k59m9y5dWrcfEA+ZmdYpK+VKhUBQJNdddx3veMfbAZiUtIGf/pmfIWjp59xoNhKvSiX0ViXeev9eo9Rc1/XiVLBdc7MxoitKGdjYrJHP6zSs0DLZrOmIjOM4cTqi50sKme/HZb+VYcYRWDuVpmzr7cOHDwFw4cLFOALb6XTodHQbga94WN5PUaLQb60YfLSlf39T1qST0u91Np+NARkvGvp73NXokRWUTmsyTzEQ9E67y/KFSwDs++f/Aio6mpTfrdOEzq+uUIhKle+dBynBbh0+hLEmpPqXdJpGOwgJBOafyxXZt38/AM8/9wzNRmMg5W5n5HI25sriXxW0e0i7o4jnB9I9+m0bcnxW0vhcz8MwozTabkyO3+t2hn+HEQF9AjWmQAqG0CdrVyrW0XK5zMryqr5P1+OhegRv19d9fbXI/17R+94zXcSXKLdFlrLc8hkZuXbVexRFl85M5cmITSs0uwRyb3tRlMTOhNH9ptNkRAXOPP44B269BYD1X/rvTBw4AED3vE4RdpWiOlGS5zTLRz/2gD52s4brfbH06ErjUgL9MEqGjj9XgMUMHbJGoIyvpZ3eSkY/CsEY/xwhN0w+X5exztBIl9cXy3y6o3X+q7IGSKQ7R4aMoGXOCrJjutYhK2Pdhck8JdEnt+3iiQ7tKRQxJG2kskuTztcXFwkMrZTVfbtZff4FACzPR91wQO+XbwLbgqVL0l9dTAQ0crdarbC6unMIZu0iDEuhSaAigmDI71tI7Ic2fCWbNUTXgjAmkt4mV1L9qzaxW/U12j3sYIPIDqEMHm12E/vhdZNp/kZSYt9azdETNOl8Kces3Mf5iFx+o0NOUhvPz5borurzKh2PnNjVfcpkMTrP0/pa7Sny0rWuqZgxdH8yCtIyniO+QzdlEUiKYCqVolgqyq2F9ITOYMckDAhD4gIpQRDgy5gb4bO2SoTxCBOI9u16BkOLLUX7hypEEuWVVJwhCNABZNeVYv0JlM8QcOw2EnsSx8SnR2hIg0eEOiTa96Z9M3x4U7/3t5Vs2lKwYLmYJivf4YKcXt1ox/p0aabAnk2tm369iy/v4ECgyEjxH0/SDnMpi5Kk/7cWF/HbWi/OHz/OsX27gT7q3vU8vEAfu7i0zLykaJ89cwbLtHbIFw8l42bgwTLcrxky1ox6B4n2tyG5orbUZXRhQEXDQXT0sMcwyve6nCSRhrD9NrahGe34wIc2Jf1dEFZvmU7ze0s6Q+ONpSy+2KZsIct+mT8si980U+tQEl26MFdkQihImo02l2ROkM9kMcS/WZLxLqUCjLxGCtYJKHRk/kaILQjDtNzEhqX633v8j553lCvan1pfizD6YxnLzskY0TWWsYxlLGMZy1jGMpaxjGUsYxnLWMYyli8L+ZJEdGnUVjA8IDQQcRgRuRxo7BogubZdTg299GUaGXLwS0eBbD82WscMOChku4GQNa+7Pq+a0AgL2/NRQkDYzdqEWR0hSAvKa1MZLC9qlJDnK7ISHTCVF+d2r4chsx0dFShLtLLmQ1kij1nDpCVIsaofxDGupWzEZWUz35ZoVX0xvn3NpbSTiK4cd991J2/4qtfzgT/8I0CjUCKurW63S6mon9Pmho6WFArFBIEwPP6k5vKZnprkF37hvwBw8OBBQJO2doRjIZVOx1xxIaof/QzDfhwrwZkSkbValkVPOGRWVlYpFHREpdHU0cFCvkClXNa/r67G/GaWbePFhK9KrquvDRqlFfFYGaZFWniRbrzxBgCOHDnC8edPyH0qHv+Cvs9Kqcj+nI76tATl1U3ZvDqj27U6HqZwlzi5NN2Ufn8pyeFvGYqlhkZKpKvTHLnxegAuLa6yuaARWe//5f/Od/zQD+rnelCTf/cunKMpSLvepx4iI/wSq3/6QdryXC9Zug/zpSI3pPR723XzUc5fOA9AsVzB6XVR3sv83q9aRn3TL+d7vhISZ5BTJ3q/g7Rcqr+daDdCELaisvTlMnUh8c9mMv3iCqiYEy5Ca4VAV/jzgsCPbWsYhnFxhGSUMyLXX15exhO+mt2757Ebm9J1rYsbns9XTOp313X8GHnVzNr0pP5IytT30zANNi8JwtRXpKUggmGYbIrur4Yh84I2KQnRd7C+wYzw12V6XdYWlwCoXLgIgjz7gqPbTZUKZFr63sqzBSaFDy+TK/L8s8/wxZFRerNlfxhu4Q9Rg7/BFnV6hePf5br2iiTxrYyM2CfRGn1lP1iWYhqhcImYJncXha+k55OPEE2FDOuW1gtbbFPbNNi8qMe6nqvIij7lDSPm61pr1Ll1RSMSXYmKFywDy9b9cReXue9tulBG/dOfpf3iGQDWD2lU6cbKEkcm5wF4Yf0SnW6EGoKVlRV8f4fI6CMusxg1oxJIhwSyYBh/Shj29w9FdYxCfIUjTOEQpMxAX9mix1sb2H6Z0ZJAm430D5NIkr7fdKA46Dc1g4CvmNFoBKvnYcg4t5a2SRe0/Yr8poZSNM5rXXI9hRJdCgOHWkQEHfoo8ZEK4jettVvMCqqiEFhsyDUKSvFsxG0ofKh5y+LmOV0Q40KnHqO9X/OVr+WTD3z8Kp7Ny5cIzWUkfBZbCkH0eg7hABKFgbEpqStKmfExAwVwBpCiCTs1sD+hR7DFFiQ7OwTREyba2sp9q5K2heG6ezlJ6m7c9YCDZWGljfTJD3lVVT8zw/EJBUHTy6Xoij0pij51gpCm2CbDN0iJ76w8aAjyfknBEbFlXfEvJ1/7Kqp57c86D3yK6pveAMDBEKxdGtGVlQyFarvFTXsOALDstmK+13w+T7NRj/lCd0a2Ij4TL/VySLKQ4fO4pM8Tk8cHW06MNkNgGN9oQj/i9z4MHxKO2L5Mn7d0d9AWjjgg6o8RcljGOVd0qWeZvGpKv2ez48Y+uJtPsZqXzA3RpaZp4JzdBGCzF9IRvzlDCluu2fXceMxLzWl0YBCCamgkmZ1OMS3vJVAGLUGQrchzzBoGe4s6K+NcYy1+fmHgxuh+qe81lrHsqHxJLnTFsOeXAqMdGAgTRuQV+/nDnKWX6llcrZF8KRNli8i5S5kGb56rAHBYFij+96UWKTFu3UyKak0ITb2QnKSgOVLNZ80yCGVhp+P4pMt6gnjg4CzrJxcATaRZkIljSgzaRBgSCGS6ayoK0rOWoagIUeqkELeu5BVvk4WSX2vYEEaEvDu3yAVal1zX5z//3M/x7d/2rQD86q/9ekwEb6czLFzS93jfvfcA8Nyzz3Lu3DkAnnrqKa47ehTQVfEmJ7Rhn9+tJzKf/tRn2HS1c+L7HraQYRumwpZUQdd14wUwW55LEIRYsu30ehjy/D0/jFMTI4L6RrNFTRYnioU8ppxnWRYdaTfyA+xUKl54CxPpKPlCkVJJD2YXJf1veWWVb/5mTQj/S7/432JfwXcdXjtVAWCPpCh+qgG2KYtb5RS5jb4+BULAHxGUb5hg5PUgfeCNb8SSCmR7LJiUVKDC3CyNFb2QtfmFx3RbhkFPnm/P95h71X0AdH/3/SAO4pRUVDPn87wn0O3+h88+yE033wjA6kqKdqu1o+mw23V2tJGJF+2HSrSYGi1SbrUTwxfTYgrQoZUYt3YtjPsB0Gq1SckkyvW8uBJpLpejLIupGxsbAHQ67YTzpyiIU9xqd7cXBwmJJ/CeF8T7V5ZX+J5j+lu5Lq+/jd97cYOipHCYJYvGkl5AL/ZC8lJMwxdy+E3TwJcuOF2XtFQV2nVwguYJnR7WCkPyAu+P0nYxDCIi/lY6RVZ0bcl1UZ/4lG5DFuPah2b5+obu+39+5At8vaQn33n9DfoZAI88+vDw5/uKRLE9hSccutlPwYj/Yfs7V4O7X0lhlqGT0Gshw+5vSPsDi18WKP39p22bN++uAHAop/XpI8td0hlJj87Z2JIqlHIDQtEjX2zTpmXgi63t9lzyFT1x2HNwgo3nLwLQIsSQb3a1q23M3kKB8JxOdV3Jpek8pxdA55SKx4S8jAnttMk7n9Pkz/8hUUhYEWIodcUEwJcnMlFLTFRVGPYXI4BtdipZEREGF8WGtb+tHbaapsG2r7KJ/iT2JcioCe1QH2qLLslELWXavH6+AsBB8Zs+dLEVcc7jllJkRJeUF5Cpy7b4TTXTIBBdarQdDFnkOHJkN5vHta4sOSEVaS8v/kDJMLBlkuoZ4Ep/e4Ap9vg58U/e/NY38y+l0NBPPfYFbrv9NgAefPAh9kh12HNnX7z8s3oFEoaB2HMd1OslFm23V+0cvpAxevwbFaC+nB5eYVFk1LHJYBBqSNPhcJ0dKYlFEdlMGYo37KkCcLgoVdAXu2RlgcBNG5QaWvesIGS6JRVfpZrnCkH8vU47AemSfu8TB2dZfeIMAJkQCsd0FfBQCOhXH/k8e2/ThXvau2cxH/ocAKUbrodPfRaA2RldKGPp4lneOan9wP/7sw9R39zU57VaeJ67s37TlnR1WxZ7/cAn8EekHsbnXUbCrQtY0T0YW6OBg+0OPUe2h41NL2c8DUfYygHZbpvSpsnXHtCLk/uy2lf60KU2h6S6cK+UoiS2yfJCsg0Z82Scq1mGLuMKXGh0KJf0wlNp3wS1czqIs+S4vErI6E1Hf9cZ00RijTQbDVakMEel52EJ6GFGbuRCyeZtUjH0f0QZu3I/F4UWYixj+WLIOHVxLGMZy1jGMpaxjGUsYxnLWMYylrGMZSxfFvIliOgKh8OQLyMqkaIzGPHeuv0y+7P9gv12X3LzW08Yhfa6Erqr/1vBNjkssPootvFN+4u4kq7ougFtiZL5pRRdIevttaRMdmjguvrMYk7RjlJDLAM7IuVtdXlaUhcPSSRvIpOmJ9GGZzZr5KJoFAY35iRtUlLnCqHBqW6UspF8vy8FxfbSxfcD6o060zPTceR9/4GDLC5oNEi30+HhhzVa4/Tp0wDccvONTAtx/ZNPPcXJFzTx8ORElTe96U0AnD17BoADB/dz3/0aeTS/axe/9Vu/BWgkmRWjt/z4juMy96aJ40gpbsPAlzQS3/cxjCBuA5B29LNtt9txu67rYlpRKpcUAkDFiJ1et4spMPfKxGQcscxK+kMum+XUKY08WF1dZXZak/LP5S0OSnprR/rw5pkUoUTdXCegK1H49bzCTOmoTqOp7604t5ujt9+h773Xwp7Rkam1E8vclNeoIWOjwcaUJiS/69u/XT+clWWWlnSUcnJ6kuXjum8LmTQTjqR5yj3kNls8JmT1ge/FiLiN9TV839+CjrqWMioPZ+u2Pm50NDvZ4qi+jkK6RD8no9WJ34dFI8NIv/pE+CoMY9Sg67o0GnXZFuSCMuK+KaVoCjJPE+1G147srsKLiJQxiGIsBVNxY0nHCKP00288VMaSDvt+GHP5tgs27ZQgG1tCLh8ofLFN6WyaTYmUO5bCllTpohvwDPrad/d0f/K5DDX5ji6ur5MVhMSk52NuSpEDKdXdevE8T/sRCazHJz7xSQBuvu0uqtUJdkpSqRS79+znwoXz+BHpfRgS28eRSL1ReRFbDwtfXhR6QIeuhX3eBvsZvLchPw/sVyGRK1Ow4VhRUsTk3t6+N08YpXG4Aa48v1rOQEmqldsWxFcAnqR3FLJp6iVtuzxLoWSsKro+jwpa4q1T2iZm/DotISF3Mll8QUUsuwGFNY2ALD/0CAAH9u/h2c1a4j7EFhDiB8EOWaZw2/vW/43QooqhZe6TKT8Dqa+X81MSv49UryE6OqKJy56+9dihKMBR6Ndh2/1jC5bioPhNgZz+joMlAvGbPMfHkfOsSpq6oAb9ZlT4JSRw9PMrZW0aJUG82gZZgYUds1Mcl0IxWUE+z+Vy1AQ2MRGaFCS10TcMfLHTEX//3549x/E9Grm1cOkCp8+cAaBSqdDtJNBVOyRKmZjyvXien3iiV0L9DTSyHS24jWIkIrsIB4+J0X5byMrjY1+CDEUrJVA+USqvYQ45bltj8rc/FhbSFtfLWBehab52Xx5bbt1xAlqSydArWKwbUoyoqc+vGhaG26e+6E5r9PKGrchYEczQ56njzwLwde/6+/pSTpcnn3sSgNu+87swBcX63K/8OjesbQLgaxA/hzIpHjqhEYDVapnpGe3nnj71Ap7n8JKf6VWJIJcJY8R1oVhkc13DXQPf79stZQ6ctk3C+J/LIPsS+I5k8YPLGhw14r9D7MrLRr2p4WYqaZtUZJtgSlySjujlW/b0xznHCeKCX0ElTVMK+iBzup4bsiq/Z0pZwor2+Y18ik1B3u8yDF68pJFXr9p7UJ9f32BdnllPGfSEuiJsdagIol/J/U+1PU51EoVVkkUgRoHOxzKWHZAvwYWuUTL6y9m251qkbmxvbEhfLnda4qMf2t7VXne05GVBo+25tMUhSEUpSj5MiRPfXeuSlnz/muthZ4SbKy2LINkMeRncHQNmPamuaKfwJ3Vqx1qjReTmPC0Tib2tDlXhkypXq9zW0o5XybZRUQqFDFxTjstX53R/P15PcJQMTKquvaRSNvv27WVtbZ3flEUo005Rl4nv1MQE2aw24FEFwuuPHYvPd50eJ07qha57772Xt3/t2wD44z/5E31AGPLggw/pY10PTwYR0zRjHqNcNktX2k4LFNhzvXgSYhgGeXmOmxvrmKYsWkpbrusmFrdCek6U9tmXKDXNtKz4PpQy4jTH0y+c4LY79OLTo49+AYDDhw7HqWtTk5MUool/ENCQdxwVjqw5HnNV/Zy81S45gSy3nR6bousrhv577NbrSRciji+PQ8ITcXBmirNP6JSfN3zvD8Cr79t2H7MPPqr7++yzLP3qbwAwsVGL0ztm0nrAnux5fN20XoT483N1nnrqaQBsO0Uhn6LerG9t+hrJsIn/5RU4qnzpCafGS5UQgzjhaVR1tIE0xkiGTQoClDiCIf3FVNdxYl4FpaIFWH1l0JVwDbERQdBnYsnIoqll2bRarfj3Uk7v7wUhlyLdF1vgYjAZTQg2ehhRFakwpCf9r4ltKmYyXHdMc8qdOnWSXZJi2Ow6pKf1ounq+eW4P0+KDh7tODE/3dSRg+y+oDm6bAy64mxnRblvrlT59r26+tTfXDrNM88dB+CP/viPuVX47HZCXNdlYWEBpQyUpOZtTx25XJrF1gn+tRjvtl7jWrZJXz9HLQDHejx46VJO25uW69CSc3OyuN/xQqbEkXdXu6TzMi76Li1poy4LqPl0moLY13bgU63rb9Lt9MhOa26mpXPLFKPKxA29YJU/ch27btDjgr1RY+Ipbccq1SqpSZ2uxAU9m1x/4TRvP7AfgD97Ipm7aGAYih2jwYn42xKLQWFie/tkLvF/ZfUn+kMr4iWr3YUM6Mdlq32O0MsrZQ+N+i1OUxqVNrelb9saCKjIWNvqdemKXc2Iq9zxQyaFuqG32iUruuT4AY7YzXo60qUMJbHtNd/DWtVpzirfIy1UEo+cukhDnmVXVq/qrTYVqbi8mDI5JIsb532PPSWtgzWp5JzxfW6XwMORI4fZv0fzdb3/A39Iq72zC12GYRAEflwd2vN8hvvhV0otg+GLrMlF0GD7PkUimPNKq99uWfQcuuY1YoFr26LcYKX0ck77RW23FweUC0rrUy9QVKpan6zVLqGkW3fDAFeaqctYly3lY/7bpu9RlcBhkHUo7NcL7gunFjjw2q/U+2/S9sh77CnufO97dWPv/HvwPT8MwH7TxpHnmhJO2UKtznvndN+e6zTpSWp+t9ulVC7TED7Nayth/H5j/s8gIC/V/RqN+pYUw62bI/Rr5ILTkIX8gf0vZUy7UrDxCscmjw+H6d2gv1aRca7p9GiJzpeVtjE9L2CiKhXZlzuxbWq6Hvm8fqetnPz1QqoCWGi2OuTaWpfW1hsUJrXf1F3cID2pg9CnJLXx8Oo6adFn9s5w4Knndc+yWUJf0m7F5hUJefek9sE/srkycC9RWmrPeXk+71jG8lJknLo4lrGMZSxjGctYxjKWsYxlLGMZy1jGMpYvC/kyQnRdCfaTjARdS4jQlSDaI2Dz1wRNNixq2b9WS5A9u0tlehJB+otzOkJzpGjwtgm9ot/Km7iysp7OpDCECHpa0EUqUPQkxc3vdFmq6xSllG1TkUDa5J45rE1hHMzqqEN2dYMNqeRneD4TRw8DUHA9Vs/qKniWVPXoGAano3XXrRHjgYpx11Y67Q5PPP44+/fv5/777wfgA3/0pzQlTWtmZoZsNiLn1jfrOC6f+tSnAXjxzBlygnR65zu/mbRUpDwrKQS1Wp1Dhw4B8OBDD8WpmumUzZSkSnY6nRjNY8lz7vX8mDjYw43TxQzDiLctSX+wUykcedeGacaVl4IgiBFbcbUcZZAWpN/uvfvZkLInjuPwuCC5IuTO8eee4zOCoCrms2wKlL5oAUKq/6Ckgu3F4JAgKNbyBk0hhQ8zZhwInVD6umcee4z513yFfg52mpZEglqLqxye0YTNnbU1sgKrZ7ISv6+F0xpWv3byBJWbdLXGzvIyjqTFRciuuoKn3X4UuNmI0up8XNf5IlQPujplVUq94ipr2+mrt6ZzJFAMVyQPVwnUkIpRhVNTk3SFaDgI+uiiGEgR9tFGqVRKqqWCK3pdrlRpNNvSbEhH3vl0rohviG26pHV4Xzbk7VOS5lNJ0RX4e5i2sKT4wbR8c+XqLLWoemmnS1OqgPphiqIvx95xGycefRwAU+xjipANiXimmi0OCTKrvbCAL4gOQ3RkY6JETYj4U+kMhw5pO/b8889jG9fCjl9GwhDPcbaY+gjVZEC4VXdUjN68KuLgYcdcVVWxZNT6FaQLjb7A5a8bKhB7ROhTl6Im+6YmYtv05ytaFw5lDQ7Z2ggt501cSQ/HtrCFvLcqdjn0FZ4ca7QcHNFTv9HF7urtiWyGlIyXtiBelWXy+Oc/D0BmYgpTbFP27AU8QSkoSdFO5bOca3W232cYEgY7MMhtkyshHUbAqWLXYlTKXyRJX2srumErkn0UGmPIT6PUbCj6b0sDyYpp8fEJO6mi1OSATXk388U8gQxeHzyjfZuj1TRHJGVssWDiRYiEjIUtftOEVFfEVziS1qe6XjxGdWttCh2tS0fzOZ6RQjKW2OucYWIV9Bjc7HSYFYThSsrkfE37JXkZ+7u1Ok9KKuVXveG1nHzhlD6v2eS+ezQB+cc+/pEhz+eVSxAEKKXodpO6POy9jtK3Yai+we9hmySryoZb2xjW7sDJl+nDqMyKKyEBGWIvFYivAwE1sRt7pqZAUqX/alPvO5i1OCK2ZylrYHTFb7KMuIDGLkE0+35ITXwp2/Xpiu6Zm23cjtbpciHHdFWnTc8c0zaI+14Nnti8RgNuvVmfd+J5ehU9rnWksni20+aZqNDG6kpcMCmdTuO63svPyrus9FMXo4rP6ZQVF24aqh9KJfRjS6cu18mtCK6RmTVbZcv7D7fowsjEnCs8sIH7GHoAfT/OZbMt2TKTU9i21qUPXtDf35GSzZtmhHam0J/TmekUKUldzIuv1Wh7bEgVbDyPnszDzGaIEn11bJOb5uYA2HNQz2FyvsGLC7ooi79ZI5jWuuavrsbVY01BHfaA52LfdvABeTvqf49lLIMyRnSNZSxjGctYxjKWsYxlLGMZy1jGMpaxjOXLQr6MEF0vRXYiCn85rq2ditJG7UaRD58pQfOs97w4GtkMTCaK+phvPqYjNIvLHQJhWLUCA7+qowMZyyCKbTZ6Eq0Ggg3Nr9N1QjLCWeX7ITNHjgJw+rHHSEn0uy2RgnB+lpsl93v2Xd/IrQd0VOD9v/CL3CCRra7wVPXy2ZhIHCMHfuuVPZqrlEazyQOf+jT3dHps1jYBaDXrZIVk/9KF89SkxHKppKNf/+v33h8TXTcbdRxHH/vDP/wjTE3pqP2x6zVCJAjh+RMnAAjDIEbFhEFISyLHmUyaQKI67XZHfg8IByJI2yMgESopSBAYm4bZ5/tKp2NC2pTwaLiuE/N9dduNmJheoQgKmm+t0WjLs+kykdH65CuLtCC9aq0WE3mtJW/Pax06v9aNI9KeC35ZXy9rKtKiD71sBYAbj92IVdbP6b63vgMuSKnhQ4fgG79Rb3/0Y4SPawLVJUHXzb3j7eySaGXDcTAETVErl5ja0Fw5y3LvOctEBcJLZqSBSJ+UIJF2Ejlx9W0Pom5eLl/f1nOidkZFza6eRyXq38rKSnxExMVFGA72X+yN5/nkBZHQqOvnvriwxJTwcm04PhJApOVBOdKlg3o4Or/cwRFEYLcbEE4Jz5eh4gFr0xGkWSZNsKh5jszlJp5Ex/N2isbKmrTRY1qIUpfl+1szFTf7wilWyLC0oktqnyFk75lz+nYErRU4XeYPa9t14MABfvj7vxeAE6dO87P/6T8NfW7XRkJ838MwjRghByEIctJQEPi6j1FA2jTNBOn/lVAVV0ImXKWMAlC8rAauhOSKNCBgUtB9G65JIDrZ8A0qok9fL0iIiysdosCyESjqJUFIhCEZabYpY51pGKRqYoM3Wnhi5w0FGeGMyVdMWutib4SM99bJCd5+yy0ALDQbTO7WnG7nF1eYj+yi2PaV2iYp+RZ0rDFCnkK4I74JcfsAyogKOQQJkEJyjInQnwl+rSRX5jB0YfLdDRQS2IrMvsr7eykcXQMA2lEI+yHorlD8JhUyKeP9Rq9DINUvWqSoCI/pN96s39fFhWZMVWaFJv6U/r1gW9gRmljQWrZhkKqJvVncpCxjbavTw27LmGiZ7JFxdUlQ2Wp2hrmIwyaXY/o+jTQ/+clPsl/QrQ3Ru3ynQ0sQlf/7T/+c8xe07Upn0uzZvWvEA7tWouT1XgkVNUpeDicSgyicoWiYq0GQXe05iT6qK+ACItukYEp4btd7ikDeZSc0qApX0tuEE/fiWi+24bYyaVb0fkOBERWKcHUfcrbFVFsPnN5Ki1CQp7YyCCPkVbXK+kXtTz30+x8A4P7v/W7Wf+t3AZi4/x78FzQq/vzcLLMPaxR/fVWPodkjB2NfcX29xTvf+XYAzp09z/MnTtDt7oRfHqIIBIms79X3AzxPOO2Usd0uDtiVBD9gEDD0XQ6MbSOQgvGxo/qZQMgPGyuvKdwtmtMFTEuGzFq3QyCZOc3QpiQ8t++4Tv89v9RByZwub9qYu/V+UykEuEzg6Q3TMDBknDM2OwTROOeH7JcCO7nAJ7OouUsXs9pGHTp6iDuFd6uVssiLz/f0Zx/kaFfrpiHcgEExRyoURKsyCRM8euErzGIYy1heinyZLnS9Es/7KtOOYjuXcOhU8sfLDd5X06+Xcg/aaBwoF/nO6zXU9ELD4TdP6sHrHx4uUBJYvWdK9alSilRBG9NU4NHsefHluvECit7ndUL2zGjCcDJp6jIp9JfXeOzsgm7DMjgok8G6ECbe8/o30PmcTn0LNms89ZyuBvOm/YdYOKUh9qZca8YwKZSq+hrLK/3KNqMGrmsk2WyWm2++hUzK4gWB/ZumhSOLM/lsLp442hG5f7uFL4so6UxmINXr3nvu0fvl2AvnztKRxTzLsvBlMTCZOtdud+KqiLlcRBDZGoA/9wteqf4yRmLxK9obpTVG1zCjSY0c6/sek0IwWa/XmJ7RJKYry0sx+WdbiG73FvN8q+jTRi/k115YAeC7ri+TkbRWQ5y/g1MWOVlMrfguFxraIaooG0cWpBrLWlc29x3hvhtv1Z287WYQ8m9koQ2A6hQrn9fVLue+97vj3ac/rVNGJ2+4nmfkfe12A1xJ0UxFqZqeTyZf0c/EX6NanY7veWJqkrW1Fb44stXButIM7mU6/0Ovl9yXhPkPWeBKkr3GyhbG79cwUxw6dAAgTo196umnY70Ngv7SoWka9OKKX/rd76uU+M6bdFrqQsPhN57XtundR4qUxelvOfo7myunKQl5uGeErMkCQdmwcCR92JJv8vxzz1NsaAdr/tAB2k2domo0O3SjBXfHJSP3l5f78XpdmlFO7cwk2UoFgP1PHY9TgqOKainX4aEPfxyA5VaLd3/L9wBww/UHeOc73wnAr/7qf+daSxgKsb9hENl4PSmIxhzIyEJ0VD3V8/0+P3MQxAvog3oxKl3satM4rpVs7VtyMSLx/wGSXkn5qRZ57y16TLrUcHnfC/q9f+vhDCVZ4GpJNc6pYoq0jHXpwMNx9H7l+PSkSlXkeHdbPimpmmen7HixM+eFNJsbAOy95UYsT3fIyupj1x5/kosvnNVt3X07vtjQI0ePglSH9Q7p6njm+Yt0o9RFZRKnfoYB15ZWYbiEw97zqPS/+Fhz8Nih6VqJ9/XSerS9P1eSgUOHpSNeLhUtsnlaD/aVinzPbaJL9R6/dlzbpvdcV6QqtqktujRdzpAuSFAw8GiI32QocCRVXonf1Gn2MOt6QWqumIvH6Lzjsyn20chlmJBFCsSm9dotaqZMUmdn+ctntN90z9w8G01d+MYLJAWp1QYJGpy4cBbL0vf5H//Dv+fDf/3RkY/v2sgwX3nIc76qBa+rfffJRdSrPOWqDh51/ZdyEf3+D1SKfO/tuijApYbD+57XgbpvuS5PUagtepJuOpG3KEjhlV7g4ott6vZ8epEfLuNYpusQ1rV/ly1m6UpKa9HKoMR3Cp0evVUd4LEkMNv47MMggcDWhUvkjx4AoPCpz9CViNOU2MHW8ZOEd9wOwMzsNH/+Z38BwGtf9xqqlQqt5uZLeB5XL6EsmsZVYMOgX5FaGTGNx+Bi41XamwEqlC0L7wNzNgaP2VZk4Ao3Mazi9dZrbj9pxP8jXcrzXbfpoMnFusNvPKcXnr5+fyq2TV3xr6eLKbJSdboT+Lhih9KGhSs61JUU/xcXm2QbUgU9nYp7WMYAWdTK+w51KSDmLOpCKq3pqdhONXyPQCgdpqwUak4vgAXrepw0XZfQ7AdFX7lvO5axvDwZpy6OZSxjGctYxjKWsYxlLGMZy1jGMpaxjOXLQr4MEV1XicgaKVtX4q8Q/R72e3L1eiBKOQrifbnrjUCEhGrboZ4H7rpG0vzRmVX+3V0aQZHNpTAFNRos60jz7pk8nQhiWu+yWyCtTknRExhrRi6wYIYU5zUMvhU47N2l0THNxTUCIX/uNeu0XB29LNX1iv/HfvXXmJDI9/SNx6js1ZGJhudS3q8jXin5u/TIF/iOvRo99DMnTw7e/g4GuS3LZGqiSqlU4h+8S6Mz/ssv/iKWpEC5vW7cgYWLmkA/ly/QkxSoSqmALxH522+7hf/1/t8D4Pvfq1Efz594PoGyUn0kl9knky8WS2zWJOImSIBSsahRXRCjwIARKXdq6F5Nci4kyzGBvcXiwiVAE9effF6XBw6CMNFP3a8wTOFsauTBRxqKf3+HjtgUy1lScs+b53T0JjOTp9WRNKp6h9mG7nMtD1kh5zWkk4888lne88/+pf7Pi6dxRW9WHz7OrgmdmsiuWSYFbfbMT/5HAFzfp/fccd1fwJCU0kKnS1baXpD3hqV4j6ff0Z/dcgsLFzT6SynF+urqKyaAHyW65HoShXjl9MDRaJtXigpNHru9LaWM2D5FaRLFYpFslGK4vo4ECwkDnxMnNZogKphw4w03cFz0R+c3603P9RIwdYGuk45t0x+eXuXf3q1tUyphmzKrWteKM3kagnhpbbSYk9QOvxjGEPus3M+6ZaNaEgXPWhQmdLsbTz+PLcc4poEh2xW5t55pEuR1FLx37jyXpFjB9YUCrvR9/3U6LfvUyiI/8e9/FIA/+L9+Al9sWhAadNo7l2JtWSaVahXTtFhd1pHcAW1SCksQjJE+DxDXb0vp2nm00EuTIfo9UHgk+j2RmhKlAQZpPNGn3z25xE/fr8eRbDGNLekb9rKQis/maQuCxq21ybSFbLdgxuk/WbnuhmkRtiQ9KJ8iI4iuvKeo5AQBXS5hix4dtCTN5/gLNHqSlv74U5hHjwCQMyyCaY2gXXR0fybTaX50ogLAT5w+mwAVhIxON74Wogb+jERCDENmjSQBp79zlE+UbE8NNDJ4/NY07pdi/owkcoAtPpjBwEcRDuqSH1h01/X3/wcnFvk392nkXa6Qxohs04p+d4XZfEw50Ku1mZaCF4Yd0ksN6lLbCgmbfV2KKCEIQvbs0r5OQwVMCEH0pIxdl4pFfEHg9JYW6QiidTI0KM/qMdFY0Oho1zB4oy0oLgJCGZd/5Ef/Gffff99lHuBOyJVQLMlx6FqgOl6KPRuFpH65WR9q+7agHv0gjb+p/bj3H1/iP7xG61OhmCEdjUmLWt/2zRfptrX/06u1MSWlNVe0aZv62IwU3WhmDGZaYucnixSq2q4EVo49190EQLe2QUrS3FOiV8VbbgJBf3VePMOlsxphZq2usSFdn6hWAFhu1XlzYxOAf7K6ji8k9p/8xCdJpzN4Xt8XvaYi32tEi2CaZuz3hmHYR5QO2KYRKYqJTIj42KHIrWH/T+xLpmC/FBlZ8GfYXBEif3vQ5umNIEzj1bQu/eHxRf7N/VqXisU0hnzrk5taJ0ozedoyp3NqbcoyDppVg0BsU9HU49b0vEXzBZ2Z4xUyMW3M/KGjWFJgajlwmbljPwD5Ne3nN5stSkXtN81PT3JGfML56WmagqSekzvYXF/j+8Sm/czAe+kj9/4/55KM5ctSxoiusYxlLGMZy1jGMpaxjGUsYxnLWMYylrF8WciXEaJrJ/J+L9Pm0KjnCHTX5aKY2663dYk7uS/JYdKPJB3J6Zzq79lf5WdP6VX6tpFmRVBaRwMwujoyM3VIo3K6Gx084QkwwpCckAYaAeQkqBxVn/U7DostzVvxlre+g2e/8AgA9RfPYFWqAOQdj6aQqbaEPNGYnuYrvuZrAJjctQtHVv+NA/tYFW6AhfOaONP2fYLlZQAeOHqAr4qQImyNJF9byeVy3HPPXZw8cYp9gjjrdNrQ7SNdbIlKRITQ9Vot5r5y3R6BwF4ef+wJvuXv/30A9u3TkZf5XXOcPqO5W9LpVIzoMg0DV3Ld1zc24v6khK8qDEOKQhq/Watf4eZH/abiqJhp6HaVaeA4PbmGistHd9ptosjSkUIJgG/bW+RXVnV/jVKGJQnm7QkNlgXpNXdERxWbK016nm7XUipGb3VD2CuRxUuefuf5QokH/vvPAfCat72Tz/3VnwG64MHq6TNIh7nlK79Sbz71BABLFxe45W1vBWD6vnu4+PDnAfCmJzm1pvVeFXTE6sDEBIWSjjz9+sUFfuxGXVL7+PFnWV9fhWBnEF19NNe14Px4uTZt2Aez/bphGMT2y5eYR61eoyZFGZJ3kc8XaLZ0FFpFPFeex8SEtidLy8uDtlBIUw8XKgD8H0cn+HdP67LUXSPFkpDNH0lDKMTKlYORberiCeOzCkLyEpnsBpCRb7AjBL1hz6Em5OLZk+c4n9PbVcfDEx65agANW/d5M63/tlbr3HFYI7am3/ImzvzJB/X+VIrZe+/Wz0ICrXd8+z/gwgf/CoCP7J7l+guar2JpcYHf+92ntz3XayVhCK7rUa5M0JB34nouvtgNn5BWU5djT44xfbqlJPIArqhPAxwjV3fK4PkkxsBRiI6tJyT2K3MLKiiJitYv41hR28TvPVzkp09sAtC18yw4+qZv8ABB284e0frUWe/git74QUguIvYPFRnRo678DboOjbLmObmpG9Ce0jZk93KDpqDmWk89R0bQXSuCMAyyaaYmdSw7d8uNKCmEEJgmYVm3seeQtkHNj36cUEjFv7B/nrvO6jHQUAa2bdHt7RBqIpKB15BAeW3jpEnEQYdyeG1t7Ero9yt16AoIiq0/XwaMsa1rA8fod3ZUxtfvPFzm557XvkfXyrIuKK2KD4htmjisdam90cEX/QmCkIJc0AvAEh1yBfHptbqxLk11ApxJPa7O7tvNhpB/T25ssiy8gp487s3lFb7uta8D4OzCIo1Tmjx8xfUw17ReNQRpOOX7IGP4M6/7Km76xMd0f6cmufeuOwH49Kc/MeJBvFIJ2G5jkjLqe9/62yi/9yrkZfPCDbvuVfj78XFJRJfok/gbP3R9lZ98VnOAdqwMi1Kc4OZsiBJ92n+DZEWstQnd6BZC0vKZBSFkIkSO2NSFdofFsn7Xt03vpZbR19114AbqguQplatcOq3R66mM9sOdv/wrjsxppHPz3HmyFzSiv2JZzOS1Ti5O6L9Nt0BF7vXsN38Du9+vSex7vR6+5xMEO2GbVGxrfPGl/SD5Xoa8o2FjFUCC8Lx/jMHVjUdbrjFy/5DzBsCKCf24YrGErTo4aJu++2iZnz+u0dxOKsemcANP+oCMIfmDFX1qw6EuHG9eEFIkQhgqMuLuRq+vW+/QKWnb9MbZeRq7ZwC48+a7adY04i/crNOTbAvvOs2/fOOrX0NlQ/scC888Tf6E1jXrhhs4+npts5DMEP+Tn6RxVhfHOHP0BvafeDp+JjtbDGosYxmUL92Frm3Efzv14Yxod9tutWVzxKIXbIHEbhn8txHFjoJ796Gg339YLzYUiim+82ZNqho4DlKsjHrgMdnVFq7X0kbITpt0G9qIdQ0Fm3qgtPIFAiHuLTT1sTnLwJB0pY++731cciW9DpODuyIy80W6ArHPyMLG4euOsWzp8/bdfSf5m3VVqife9z7WT+qFrCNCujo/NclxITFs9zpg6EGaoDM4eF1jSafT7D9wgF/99d/kMw89CMCBQ0c486JelCsUi/Skkl+U3pXKZFGSYhIAk1KFpNFs8+hjsiizrB2d02fOxjDdXq8XtxEYRkwKnHyrriOpDp5PmKy09rKkrzvRopphWnhCrBtiEoqXFYYmEcDze0SfcgWb75wSYu6uQ9HW97zU65IVh6QnqaupjEFKFi9qSjHf1r/XCymMon6X++R+nE6H4889B8CxG15AycLoyskzWDJ4q+kqD/+5durXZdJ44I47KF+vFyew08zceQcA3ZtvIvvk4/o+HtOVGlfWNlCyCFN3HR56UC+K9XpNCF3CL0aKkO4Rl3WQLnvey5XLnaswJWVWKTWYHgAJndPtRNWOms167IxGKa6nTr2IIRWllGETkS0Hvk/ksL33mLYPpck8P3q/Tuda26wzXdC/13yXSal454guFfIWDbFNgW2g1vV+M2eBkK2WxDbVQgtTJgRhKsSTSnw90yAjaX3rGStOwSxKAtHs3r2cER3IbNZQN1wHwEa5RKutHb3779WFJaiWyTS1zaulUgSh9L3euMxzfuXi+z6tZgNlGPiyQF4olqhtrMkR/ZTlqGhAOGArrzB5vBz599UucI1U7ysFd4aM2WHQT1FJHhsase5972Gd2jxdzfIjd0nhjnaH+ZJ+17XAZULGunY01mVMOqJPrmlg1fVY5+dslOhTsSmTBt+M0zhs0yQj+uTYJoWivl43l6Ir/dw9pVP65/fsxZUCJIEyqZ3Tae5tQnJCQL1HFiQK2TxBU+vY7ESVokwcfN+h06ptqcS6EzJiYSl+ZWHi/2r4sdtOugq5Itn8lsntsMDhqMOH6bpK9j3aNuPt7zumJ3fFUor33qFTX73AZ0oqCTcCl+oWXTLTJt2GpMGaBs6S9nnMvI0lFRozomuljE0gi15GxsS1dLsr585itbU9WTbBz2jdrciCRzZvcUpSEzM+mOJfnF9bZa6sJ8B7alpnUo7LTFr0cnODuV3a/3vH29/KI1947PLP7xWKoYxEsYurkVF+r9quGyPb3WozXuk4mbRTl1ndT6bPGXb/0LDfxg8c1bZpdrrA/3GffieNVpt9E9ouNEOfcldIwaV6YiprUa9rHXIV5GqySJC3MWUhQkkqdSWboihjWi/wyO4/AEB9bYWOpNNuGiEtSTfc1dW2q/HCaVZmta477Rbdaln3Yc8cxqJe4C1LFdmpbJpzksbfTq33F7vDAM/zrm1hwVgSz14l90XSp1joL7gndGbgdQ1LUgoGDxqwC1u6se3aww4YYgsHhrar8fOkn8mKkWG/MMn3Xq/f19Rklh+6T1eM9jyPssY00Ag8qlHhAqlsn8sYhLKoaqZM/EVtp1TexqpGk0Ftm/aWstRll1HOE4hqu4HHyunTAGx0m0zfqX2gA1Paj1s9foLMkcMAWNVJ0m/Qi1tzX/1meF4oZyS9ujw5TdYW3V9cwDilx7/A9xj9jMcylmsv49TFsYxlLGMZy1jGMpaxjGUsYxnLWMYylrF8WciOIbqUUr8BvB1YDsPw5iG/fwvwz9HL2w3g+8IwfOKqL3BVoYWXk3+xVYadO+zaCYRIqBL/HxJ52Fp6Vg2LNkRrkAqEjBI7izL1Cvm37je5S5AZ0c+FvMVNRUnzWXHpSDRmLQjJ2Hp/WiIiISqGyk+6oKIy2g2HvLS7JuWyU7bBpfN6ld9OKUwhtmy3PHqSOuMbBj1Bh3QFcfCme+/m4I2aJJPFZZ78oz8BILt7nkOSajIhz6m2vIxqC6Tac/jZeR0V+OeXLpDL6tBDvdFP8btWUigUee1rXssP/eAP8MjDDwPwZx/8YPx7p91mVohj89KPbqdNXdINut0ensBF7r7zdpYFyfXCCxoRNjc7S72uo/edbrfPlesHl4XvhkFfnxRq6LH9Usxbo0t6v6H6SIh8XkeCW80modKRZ7NUxS7qENG7i11uNfrEugDFvEVeUnParTauoO8aAeSF3LImCLSqAkeiQuUOdOX3VNenJxHuWlcfm8mncQTl9fEP/z5eRsPmrZzNpa6OTO6bOIwvZPN7rtMRpP133UUqIqu/cInr79QpZmdOncCZ1u9o711aNy8+9gTtqK29e/kZ0eV/suriOTuTtgj6nejXMSJyvU3Cgf0qEW3sv9crtRUO+f9wMU0z/tWXVFIgJjX3vOSz6dsuy0zFV/DkOzesVF9PjRQqr5EH330gzU1K0nsMaU/5TBe1/kx0LerSiUYQkhLS3SnB1buhQVPsVNEBP6t1qdNyyYk+tiTtOpdLUZM+rOUslOwPwixmQ9+fncnGSEqzqvXnxvtejXdcUqlLRYqSUrKuQtQFnSrAO3X6MU89S1fuPlMu8/N3XA/ADz/8uX6UP9wpnVI06jVsscnNeh1DvlPTNLFTejyI3p/jOHGhjKRdUAkE6QAaYVhJ9FHIm6FqmIhuDwS6Xwp6UQYiwwYrLT9bGCltb7/zSIbb5RAzozeyeYtZucRkr4snqffNICQlaarT0gcThSvnZ7s+jiBoOi2XvKSltyPEXzGDL2lhXiGLErsRTuQwNwT1nEuhBKXVS+vzrYMHmZFS6y9+9AHSosvtC+epSLoJoptebZNuZGsnJ/nlULfxbU8++ncY5x7mg0BCWYYfPgByuIK/tVXfXpGMQism7yNC4KRR4iR92w1FbhR0upnSbeTzFnsL2jb1lut44ha3AkjLOJYXe6ZChSf6MeGBUdD62qr3KIpt6sh79i2DluTwt1IhRUv6nDOxPN2fwHOwM7qNTl7/Tady5ARBysQEUwe0HQo31tgtxQ/cJ5/S/XVcNh2tlynH5ScmNBr7N589Ti6XudJDfEUSXPX4lNydeE/J869W8ZUa9J+jIgRxp/wE+udqkDlX6G9smyywtQ9lVnLYk9o2fXvB4BYZv3I5S/6a7JYU+bZjxKTha15AWmxPUZC3Bn19SvcCevJ7u9GjEhVEEts0t2uKntCU1GwTZ0Wj/g7tOUzthE4Ra68ss+fgAQAO3HwrAJsvXqD50QcAyGeybJ46LU8hYDqj0ULZST0uhp6LJ2nye6cm+PVXafqI7/rsp1DsVGZFEnE5AgE8NHU6cWyESEfF2Rb9840RiKtRaONRCPzL6MtAVtEVbJMyQOnvWGVKWPL9f9sBkxvFhuRykj5dSuN7+n5aKz3CUNupNiHzZd2GJdfLmiabUlxlqmMQ5PWxbsuNC1+VxYdvp0KY0Km2Z1Wbsti8EyefISfd3HPoEEvHnwVgbY8u/DI/s4vVv/oIAF42w6E3vB4A3zDpCEl9QYr4KMMg/aJOu/Y8jw/cqjMwvvmxh7c/v7GMZQdlJ1MXfwv4JeB3Rvx+GnhdGIYbSqmvAX4FeAllYq5mYreTH9NLceSHnZIYbIdOMCJoqwlKG6dvuX6agsCYf/NMk7uv04NUThYN6osNwopUuCtYmLIAUwlDLknTOUlbK2ZsPOEcSeVslAwkha5LW7SiUtHtri9sYmWlep+pCKLFsiDghfNndLupDK7Asg/frg2aqwzYvx+AhT/9Myo33QhAft8e0gd1zrclfF9r3SbejccAcJ58ileLA/meIzfwYKCN7E4sdD333HPcfe+97JmfoykVD48dvY7duzSnwWOPP8a6VBxZ6GnHYnKyypSkxa2sb7BfIOT79h3geeEWiyaV9UadTjTxTPx7JdELJtEZwwfOUSkuhYIecFqNBqE4J44s7qTTuZhD5FsOFChmtb68f0VxW15SxyRFZ3OpiVHR710VrNjjyilYlPTUAzKwWoS0W/o+07bJmqmvMeFBW7YLZa1PjfU2BVsvhqpsFtvRi6W1pTYpGYgf/+hHaAikv3pEp7xtNru85if+jb7JlTUage7vqSeeILOmOU+WI0fhta9h7aLmvuk+f5J78/ra337j7fzmUw9Let21l+3vpP9Nm5ZFRngzor1B4FMUB2GzVosXKUa1seVqQ7Yvb/MMw6BSqQDQbDbjsyLuuOmJSVakwp8yVLyQ5XlJR1Pbpm63G/N1fdcdR7Ba+pjfPtfipw5r2zRR0Y55Y7FBqygpYSkIRQfzYciyzFUyYpumcmZMJpHKmiALBZmeSy8lC07iHDZWmpgFqTyYSPEjlcI8pjn35oslvI7eP3/DDQDM7NlDRhZHsrvnOFXSi62vfc+7eOxnfx6AZ/7sLwC46e+/i/aZMwCk601eI9Vh37V2Ex84ubPpQREnSrSMFiSqhRaKeTwhUmzIYrphqJjnr9dz4mOTC+dXnoSOkKE/X83Ye5mUD4jHN4y0Tt8AvuvWOXLSxm8sNLh9j6QYVrRerV2q41X1eWbRIpBqYAWlWIqqlUX6lE3Fzy1MGSh5hOmeR08CQFlZuGosNynN6AmtByC2qxOGBBVtF5Xrgqn7kSnpccBt1Glt6Hfgtpt0K1qfJq9/PbUXzgAwI/d+wjYpbupUoYmJCvsWdZrjOybm+bPV88Mf57WUAe6tbRsM+XFIatnW/Vtt0RBlGak/V2PfLvd7Uq8S1dmE/uDbbttNSlJ2/udzG/zkbfqdFUqiSwt1fPGbVKGf2p9FsRKtlUmQZj6fjnUpnbcxZMEi3fNwJc01I4sVqaUGqqqv0e45IJU6Td9DTYo+dx16siCfkQCiarXpysR0IpPm0nHtU6R2z+ELD6ori3XP99pcP6EDQTc5Id9wh6aHsGZ28VsPfeoKz+/li6EMMukMrufGlfjU0PEoKWpQ34YtSA2zQQM8uFvS0AbSbOX8gUtfYQFloL9D9oufgzJBqjh/54F5CuL3/OZ6h9snpaJdWb/r1Yt1mIwqtKZwZOwsoFiMLiG+8p5Cuh9wShmYsjaZ6Xo4kW0SH21lcZPdx/Ries+2SUsf1p8/TkooH4p7d3NpRduh+gOf1c1ubLJ7QQdgLwFmVuve7Nd/Lem0XPCBTwNwNl2iUNL2r+yFfPUBndL77rMH+eD6BdrdnagyHMbv1bT6qev9auND3o1icJ/ojQK2rXMRjEiDToAQRo5X0a4r2KJtejdMIrtrxTb4O26epCB+yK+f3OAnb9LPflr4/FYv1nDKEoTMmSDf2nWVPGeFvqEitqmUsbGim08bmJ7Yk55HWoKMuZTWy9LFHqYsbnqBR7Ojfe2UnWVRFlCtdgN8fd6Z45qL68InHkSJvzp7622c+7TWsdf8vW9g9QV9TOE+zQ3IM8+wIVQuqRMvsF+8mG+Y2MX/3li80sMay1iumezYQlcYhp9USh24zO+fTfz3IWDPTvVlLGMZy1jGMpaxjGUsYxnLWMYylrGMZSxf/vL/FTL67wL+atSPSql/DPzjxJ4tUPkryYhI8iuSl4AWu9p+hiH9VX+JZiiDO6Z1pOjV80UWlnS0Zu+GwZ+u6RXyb7NkZX+qSFeu1Qm6ZOSyHnBYIov5XlSFL4xin3R8n7SQxtuWiSD6yUtf8mkbCSAS+AE9IY82bZNsWyqAdVoUcjoaEVW4SqfSeI/rFf2lBx/iwYsaXv1N3/1dTO7TkaKnz53V52zWyXX0fUwfOkxDCOBXN9u8KGiKayVJfTKUwerKMrZpcODAAX1fCtbXNeJo3779LC/p6EOUMtRud2gIYef+/fs4ceIEAHfdeWecuhhFpqanJqmbGrHUbLWumrw1k07HKWKaBPRy0dJB/W42GonjtJ46ksaXyxW5ZUqjbF61p8xmQ+/fM2Pw6VBH975GyHarE3l60m4v6OEKoktZBpMC029LNGkmb+kHB2x0HchIJTw/6h9MSHqVmU/TE1Sg13VwJco0Uy1RW5OIYaPDVFVH3u/66rfou1EGtb/4MAD5Yom8FEJodTpMiT6tC8lv0TS4693vAmDhA3/MjED+/aY7uoDYy5Dttmmr9C/mey6tprvld0VbijhYtkVequ2EYYgv0bueVMlUaDg4RITvV0JTbNcZ13VYXVmR6/VRndPT+ln6gU8mq21Ft9slJalx+XyBVku/m5St31ez1eXOeU2a+hX7Jri0rPXuQBDylzXd929Gv4/8RA5D7ELT6+KILlmWwS4hcS54UcWlQCjjoRsEmELibPkGgaQFZSKEasbup/D6AT2xb04QUBIUo2r2OHzrbQDc/I636xNNm0CKIIS+TyjVOjm8nzv+2f8JwMLHPwHA8qlTrMh3PZHLU5X0oYubG4miGVvf68uTbfokqToR4s4wVIyi830fT9AA0TuDkK5EZ4e0Pvq/1zStTPejf5FRKR/RCNQPwd+zSyMW7t9TZmVT29hjN2b4kKPv+T1SNGViukRPbOKK06bR0e+6mLHYI4y9BUHmGEaIEdlPU+HZfX2KqhRkpSptuZDBFT3sdhyUtBEYUBFCcmezg9PT40OtVAUgZZj4ggg2JydxW/pbmJyd5cKyrgj7jFRl6zVz7JFqxWajiSkR/U3fI0mW/kplqG1K+k3bKsltbcDYTrPQb3zw2DDZxktB2CfHrq3blzt26/XMxDagUtwxp1ER9+0uccnSftP8qs2HVvU38x5LfyeV6SI9sU3nW80YvVrK2MwJ6mtC9ikDDLlGx/MxJU3WCkxC0aW0pNP5psKOkIamTW9D63M6k2NGxth6yyUvZPKhpL6GIewSO295Pi2xLUd27+GQpAW17tck0Z2PP0C6qnWpbljs3aPHwT0zM/zoD/0gAB/72EeGPMuXLkl9Ukphp1KaAsNrDzt6yL4tejEs1XVU+nSM/hpxjWHZEiqJ2DH6JeeGSqItw6SvT/3f792jKyXet7fCekOPhTdOpPiI3P67pRL1xGwp9oGfr9diVz6fsZkX2zQRFfMJfSIygdAAX8Y62zbi8d8SpJ+ZMtmsax2aSnVoNwVBP7+foox73R7MTet+hjL+pWoN1jc14j1/+BCblzRiJ1heIRq1Nl6vUxRzTz5DpqT1kKOHyT74OQAa2RxHj93I8ePXpsrwVtukDBPDMDCitHHXTSBPR6D81JDtJEprwNFL6NoVwFtXccAIGWX3tuiSYXPXbo2metXeMotr+p0eni/xMRm63yn7SjPFmBLmQqsOgoT3Q6hWtK+Yl/ccGtAQFHcmNLAEYZoKTBzx09PiazcDn02Zt0wW8zgNrcR+psGBuQMA1NebeOJ7Rv5Wdu8eJkW3u60Gmy9qFJfx999Jd1kXNuj9hZ7Kq40N6pJpkQ5CUkJzsq7Maz8dH8tYLiN/5wtdSqnXoxe6XjPqmDAMfwWd2ohSxvgTGcsrkqQ+WZY11qexvGwZtE1qrEtjeUUyHuvGcq1kbJvGci1lwG8yx37TWF6+jMe5sYxlLF8s+Ttd6FJK3Qr8GvA1YRiuXel4LRHpn9oe9Yl+fklE0NdKXkoUNhnl3lr6VkeWj03pKN0bi1lum9cRP3d5g0np80LLoyOoiLNCfHkgZSEBEczAwAqi6JBFvqZX/SPy3dBXTEiOf8FXNAt627QNTIliR4S53SAktHS/rNCnti48QpsdPNnvFouk5eLdM6cBeOiBBzi0VxOpLj3xBF5Pn/fg+z/AN/zADwDQu6A5SbxWg5pEYFTaJBXofj7eaJIT5EXEoXUtJfB9Wo06J+o1zp49A0Ahn485beqNRsxj0BVUVCplx+iutfXNWA8f+MQDMSIn0q2lldWYRydMlKJWSd1VWzl0oNPrkc/l4vOiSEzPcROE4cOi22pw29C6c+NMBYCvrRa4bV636240KUnUsFsMudjS561I2eLpnh+BtCA0KStBcRkW8z39Q8rU/eo4AUUrim4rFoTQvp22CKT8cUdggbUgJCPE/oadwdvQ97Pac5m/+XYAnn7oc6QE6fSR//W7ALzxW7+VjkQjP/rgn/C6b/57ALzjh3+A05/6DACNixcBSBeLbCzqYy/5LqsXNF/Xg6kShDtFqhpJElV1JbsQ2TMdxfTc0cigECAYZdv6uhAhfpR8j4Hvk5NiBKZh0JJCCrlcDl/ayxd0pHlxYQlXvn9ChSNROMfZiHmJDk9UAHjb/hzXTWvEV31hDVvOW3FDOqJXizLCTNlev8u+oiiYrZ6ySDX0+y8J75ZhmlhZvc9o+LTFNhm2ARFiS76/ThgSClJQBQFGW/hi1lqcPK2HlPzePUzfool5zz/2OAB7f+D7MfZr27Tx/t/nCUGNHs3meegnfgaAXXdqFNjk9cdoCrorVy6zfEajUI97AdWKRumsrUcoymssEVJGbGMQQkY4VlK2FSO9Ii6vTDodIwEcicbGorZtJH57BSiioRw7yb/DIvOKiJD3hhmNIHj7RJ4bd4ltWt2kLPfWTMOpTW1DFoVrZTJt9RlPPMWcFGlxlE2upo8tpLWOhZ4iL7bJa7l0BY1qWAZhT+tZNNa5YUghp9vaaHXpLGnkRmazE4G/6Hk+lhzvyJgxdfQwuWmNbrzw8MOst/Q3ZijFrl27dN8FPTnjB6w9rbkpe/UGs4LuenJxBe0P7NC8LzYTw2xIuH3/VpTMwM/D0IFywFA+nG0NXqaToyR5frJguAKl39n101qX3jJZ4OiM3uetbjIh63wrXZegoa9xUbi0dmXs+KpFZcXFMVyVohDxZwnvnfIUlZQ+L9sj1iXLVvQ6YitFN0q5DH5e6/hao0Pe1GNe3ijQruh+dtw1OoLKzK5r9MPcLbeQEhv+5FNP0RQk7eozT5OT8aElY+nNr/8qnv3bjwNQ2L+fTeF4rFcrPP3UM5d5lq9cFCGu08UQ0n9FMISgfvCM0QiZrbqXGEO3EtAPnGMkttEooKGu/jCep6SvZCSuZ8fbx6b0e/qGqRI37dVjqL/RpCL21kmFLIrNO7+h/ZW5jB1jVCfNFFbUrpmm0BDEjeiTYZrk5F06nk8vH9kmhSc8Xo4gBBsdB9p6nPFIESjdH2MjoF7XeuFN5gg3NXoRV1/r1e/6Jhb/xwYAF5stGtL3mSeepid+gR8R36dtqgVtg8899SRHv/JVevuFM1w8fxbH7fM+XjsJCcMAw7CwbZlPuB6mESGXPba/1KROJGwT4XCk4ODl+hvxIQbbdXbLuDag29F2xKVs0C9Mk2yjz7F8w4xGmH7NbIljM3pO4a81qMg4t+oE+DLOXxIY4Gw2FX9Tu1IZzIiC0EpREb7mnPg/dqCYE3sTNnxC4eUqZ2264tI54hsstTqYwoO8Um+QcfWxzYU10r72abBT3PzGr9L9Ef6tTcNkv8zpFh/9AtPCn+udv8T1P/mvBx9fPk/jAc0T2D5/HlWNxrllBoq3jWUsOyx/ZwtdSql9wJ8A3xqG4YmX3MCAwwZXXNS6Eqr+ZctLmSAkjGJsNJOpCop5IYr+kev1ABusd1HL2mlulVPUhKz3vrLF2/N6uyvBtTV8qmIJF12fvTlt9PIBmGKEW4EePHsrDoiTb+fSZCQFER/8qlTykv7OV/JstLUDtdZ2MWQCkaoYZNrieK2skBYDOCH3kDt+gvVHvwDAIyH8hjj/K597mJ9a0ukcX/EaPZBO3LybkwKD9TZr7Kvr6ylf0ele+wWupITA1NQkZSGkNg2D+XlNOP3w579AM5q0RJMh141TyAgDchn9nFutVpyyuClkw4V8joYn6XgJZ22AYD5kOzQ/1AtuoBfFIvJty7LoSIU4V5zeMLQYVOxoNDQ5MKNh7P/0Jj14eWsdvEXtCDWradpSbfOWeof7ZYLoSqWphhFSFad+qe2xR6pCZXxFU+4liPrSdpmWLngmWDKyljM2LSlqYIieT+bTBAKlXq45BPmKPtGCzrJOE62WSziLmhS97eoJQvMP/ogNWeh6eqLKJ6SKpz09zbdM6Ulm9YAM7ocO0junU2VLhQKXLujzmm6DkJ1w1kChMC0LwjBBpHqFc7b58Jd30sIrVR+C/qJIogsdSek0TZOi6PnE5BQl2W7I4pcfhGQlDa7dbhHKpDXE4rBM2P/JMf0+grUu6TXd7kbBYkNSLO4we7zB1H1oy+pALbCYkHRWD0VWUn6KocKLJsYyGXU32iixTY6pSEW2KVAYlfTALU/k03Rkga3Z8UCIe82JPCUhoK6vrrH7Bl0pcf5eXe+k9Wu/Tf467aT90v/6A74wqZ2wbytO8jvf/30A3P/VXy39Uux585sAyDSaMcl56rkz7JFiG2sPX2InxDAMvYgVPaLEb7ffcSdPPvkk0A8CeJ6HK5ORbboVq9ZLSce4Cknarm1NW1sWv/pkw/tmtW36sZskrXitg7eo7WarmqEui/t31rt8paRstMRj2fRcijI5W/N9DhT1selQYcgY2ZCAQG+zhyf2xrcUVkKfVEWqX0mHy/k0HUlRtHoB5bLW9bRts6upz1uqN7FmxN7IYulss8P5D38UgM/2evzCuk51XXjkUf7qx/85ALvPaHu0nrKpSap1/ux5zm7oSagKfXZ0ArBtsSC5mEB/e5hbNbAvOSkc5ndtuc7QRdRRCxeX08nE4pYyEgtqBnundbXBH7hR65K33sFf0u+xXU1Tk/TQe8ppvlomgI7YqHXXpSBj3qbvs1eKseRDhSm61JZFys5yD6+r2zULGUxJRQ9CMKpSaER8rVLG5JJMRv0ebLp6kWLu4FGuy2m7e7E6QUUWrn2hbtgXGLz4xGMAPLawwJ+KnjeeeY5fvuMOACqr2n86u7TE9WKbnNU1loVS4fMPPswf/82HL/MsX5mEhHiej2GYiTHJwE74SMPfZVJHksG+yJ8aslCWXDhNkn4rNUTlti7IsvWA/g9GenCfYcfbc5JG+k/v1OMCq11csU2dyQw1Iam/brnD/ZEPLGmHF1pd5oq67TXP52BJbAgKSwI8LbFNnY1mrE++ZWKIvoSBwqxK8QvpbymfoRRVvu4adBpaByp5l1wgRYE6bRCfrbpnNwDOw49hi05+7tJ53tfTC3Ir66v84ld/DQD3Sx+s+Xka4lfmDh3k2edPAnDjoX08/ewjBDtWXVjrjBsH+kJZ4ILRNiGxuBlXFN5uP5VScWA5GEh3TYIMhg6Uie2t+pNYhAX0uJZcbDXj/QdmtG364Vv745y7qH2T7mSWprzTe7Mu97l6f0vKBC+0O0zKPG7d9dgnhcdSqj+WRu9r8WwDv6e3JwpZTFlUbSsTQ6qERina9+6d4rElGWudANfWz21q3yxFCXr27DRr53WAeLao7dX+qWmaD30egCdeOMl/+5xObZ145Av86yefAODr/u2/1Ld+z93kpjT9SOv6YwSPPq73u872+c5YxrKDsmMLXUqp9wNfBUwppS4A/xq0lQ/D8H8A/wqYBH5ZjJAXhuHdO9WfsYxlLGMZy1jGMpaxjGUsYxnLWMYylrF8ectOVl18zxV+/27gu1/2BQazdZItbzlo6+6tJ11NatGwi1/henH00eiXKI6iDYaViB4RR7P+0+3TFCS6t9rUUZdeOUNWYM4ly8I7r+Ht989kyAn0tCKXbQQB3ZaOCPgp8KRv2TCgK2lM80I0+cLaAoW0jgg4YUjW1793ciaWI4gQ+b1cSdFRklbo+NiSzkQ5Q0MiKVN2mVyUjiaIrm61Su0pTV755/k8tiAJgvMXOSRIoL0SgQgPH2Likk47a9fO86drOtqw2NyMkUA7IcowyGYybG7W6Ars/8C+fayt6yh7GIYUJB0xQnTVaptUhCi93elgC3T4+n37ef7E89KyvtdSsUi310dg9blW1XB0TiLAtCQE2JOTU+SF6L9nuXQcjRALlaQmGSaZAxqBZqQNgoZGnPzLXTbFnI4ArUnUsVfNkk/rCFHZtvDO6qjgEQtKsxr1VZA0nzUvoCP6ZNgx1zydXo8TgtS5e06Tai42ViAnOu2FlKWNbtYiL8iirnwSqYJJU7oedF0alwQNMztF8/xpADKLG+SFeDdK6/Ruup5za7q/v3phkRlJzZqdmePWf/G1AFg1rTfnn34KSxCCmV2zfOLEGQAurp1Df5vXHjkR0ieQTyIlDIleabLVZMQb7FQKp5dMMbtSFHyYDNqjJG4Qooim3uN5Hk2xLa67ytKy6Lm0cf31N/Gip5EH6a6Lu6H79nM3lGNU4aIQ8XbyJllB3RQsC++SbuvOgklFkGKT8s03A3AFsdC2oSDRSOV7GKIrGUmZOL3aoCBpRQQKM0IKZixsSat1BTlZLFkgROVNLyCV0HM7o3W/4hhsrm3q/VIOu1Ius/HIowD8ieuhVjSRajFf4Jv/r3+qLyhRfdbrcR+YmOD3H3gQgIWVRRaWz7CTolMS++/XtCxseebPnzgRI/LaQkCfy+fjogHKMBIR7iuMhQOInvAlpjImkMqSQhjDCRWQKcbHGYK4+1eHsnFK+oogqPxqlmLSNp3R3/pNWQt7VgjmxRb0gpB2S9vrthXiyH1m/CBOkd4vaaXH15pkU1EaTB/Q5mYtLEn/9wQJXSwaZEJJ0++GBGKo1qsWdanuUnI9svPzADQ3NgE4qYw4DfxfX1qg6+vzTNPigLyv677pGwB45Hf+F5vy/W9aBn8hz3q9WWMAtXTNZYvTFEJsB8Po9y0ysgjKZfQjqTsji6+MOv8yBNSEYKT6x0lK10/cM08hp32PCNEUVgZ1yRVdun8uT0EQxpvixygFbRnnWkaII2hcMwjoiJ3ZV9W69Oxqg2Ja2yYvAEsen5OzMaQgQk+oJOamsviOoLvCNL5co+vUOLGh06pTdZeNCEHb1N9tt1pFlSoA/MrxE4RiCvft2cOU3NObv+mbAHj8kUdo1DVCu7OywkcuSuGcr/pKvuHrvw6Anz7+5JBn+cokDEM81yUM/DhtWhkWpnx7QWDiR7m+I9F/if0JVNh2CRggJleJ8XAbeb1KIFYT7SkDLCnYEfSpH4yKtp+pXVnI6Tb+Qz5HSr7ZdXlnTOUoyvhXtVN0X9TP+ailyO+WNNSOPjZlGzSkyE/bCGgIdYWlQnpCF7J/Ql/36dU6WUETeh4x3YibtWLybkf8y0I5RUfu1/ENUjmtkyuFNLMz2g+bnp7lhU9qGoeTzx4HYOLQIa4XX/K/BCG33X8/AC9++MPcKEUWioKaO/vEU1jij1y8dIEPr2vdeqDbpDo5zebmKjsiA4TyMDRVEWI6hjA5LiaRWWr7mDdotcLY1xlEpl5J1BYdjNIU+36kWdYo39RUgVCQnv/2aIZCXmxTXX/fRjVHIdYlG+e0zly4I2Mytauij41Qo6ZBra51qWGGMSLLCjxa4jcdnNS69NhKPbZNfhhiii41swYFSauuyb3vmy9ygyAQHz69TigZO3XLYEoKNxWMDBOS2rq5oPu4ODfLlHzXP3X+Ah0Z5976De/oI7lEnv+RH8NNSxaIUvySUNdsyvxlLGP5YslOelVjGctYxjKWsYxlLGMZy1jGMpaxjGUsYxnLF03+zqsuvmwZyjex7aD+5hVzgq8Uwb5cvnb01+hvCvGo5hGQ1f8oyh347BL0i51K40pzQTZDSwqQBILWsoOQ+bIQ9HYdXLnvfYUMJYnCnHD0in/WUjSFzLJa88gId1TN65AXgt0XTulIlOOHmL5uq+gGsSYEPbAjTgRZ8V96scmGBFIL5SJhUVAp3RZOxAcQEK/0R6TUB+65i31TswD82P/+czZqGo3mBz6/5eiIxXW79O9qfQ1XouPFbJb9uZZ0oYct0Q+v1eGaSwheEKCUgSNles9duMjkhOZmOHhwP+vSr0uX+jw8EQ+O67j0JAL2+UcfZWpCI72yGf3OLlxaJNaXBC1FGGzlqEh0CEhnsjhCvJ3JZKlLZNH1Q1RBR/KMehQ99ZmWiE1hIocv3BPpoo0XtZvR+pgKQvZUJQe/06MrEb0bpkrkJDj1rPA55Wwz5kTas+kyJVwTzVBREY6lS4IIa7sejkSvq6FCCfyr1vWwfEHZ5AQp1rCoK/38DGVQEA4Cp75OQxB+M0FAINHpubLwSD35NHfUdd+Umeb545rab21jk3/zn38BgK+09XVv+eZvIhDS8NxzJ7kj/mY9dpYIcytfVkgg31MQbL/uAJprG4pmGLohjA8NB4jpk7Yp2tbnG4ZJkjLMF96ZdK5AIypXLRxGZ85dYjKlr5cqpvDEDpFO0xEz5so+0/WZq2hd6nYdMnJ7U6UsBenzOU9H8SzToCfcOBPrDoUJ3UbT6zAh3G8L57QumQExEW8+ADNCB3ZdMtKuKTUfNk63aUq7XhiQER4wbIvKhObGUC8u8sJffAiAO/7eNwKwcvIk173lLQCc/4mfZkOQgMow+kiuUxpdyOGDNM7rbz9YXOCIJ2Tn+Qw9Kefd2xnat23iuT2KBR05NgyD1RUdqe8JoqvbbhG9f42EvBKHUmSbjEFUxAAIYxgKWp6zCokHD8MAS/QlUrgwYF54APP7Mnh10b18GjcaZoQHywxCdlX1i+20e3gynszn0+SlC8/JuGGbBhR0H3ZtOlh5vV13u5SEQ/L4Sc3L53g+odi5XEiMOul0XVKis2ZRX8C+5NEVmxeiWBQ73/AVE1F0Op0Gee5F4VHMBgGHb70ZAO9Cf5wIAp//+rAmnv/5224BoHT9dSx/4I/1Aa7HV87qMfDXVnaapDdpG7ZKAt0wSk2GovxGIK/ic5Mk34zw26z+doSaUKqPDvTERoY+c4KOsC2bQN5jOpelJYhzsySoHd9nVmxTu9OLbeXeapacdOGiIHssDIKc1su5ukda+N7qToeyICSOn9RjkeuF2JGJ8TwygtDpdlzSYucNS/gFe0UmJnR/nn/xDCVbI8mcRo2IJjK33mRyVl/vpjnNgbiesrn+Zq0r6guPM7tLo3VCpfj1BzUnzlcIL9fa2gahjNev+/qv58Vf+CUAPn7+HO32DvhLIgqFYdm4nostxXoCP+hTJSWRV2FSoZKGJak7JoMyHNEziOiCPiIxwY8U61OQQAAqbZ+AqHABocdMRPR90Kbb1i82ncvRE6SOlc7F9xaNdc1Wl7qMT3t3l5kUnV1QQlDvB1hCCr6r5lIsCV9Xu0NF9OWZ49pGOG4Q26ZMoLAGxjop7lOQbIypY3gT2vcrpSyWVjf1scuX8AS5v/7Ms0zLffbkmRVcF/MObZvczzzIs889C8DU9ATvr2kU9g/deAyAA4cP0Luo+1YxLTKN5wD4QMvBtswdyq1IoqUiSfrHfb0Jgz731Wjqri0/hFutXkIHB657mXGOIMG7pcAWOyO+AKbFnKCGi2mFJz5WppClK91JlYfrki+o4r0zxdg2XZCCSR3XJxXpUsMjI5lAa9021ZS2hU8/r8c51w3Jiu+W7QVYMn/rdT16MtfLlvT5n3j4ApupyD8EV44tpRQXhF/yloKBelH7QPPCRXn9a14FwhNYfvrJ2DevN+o8/xd/BcCxo5r7dObuu1gQVOH58+e40Y64g7e9kLGMZUflS3eha3Tu4nAZODRyvJKD7Yj0oGSaR7JaW9LoxfuigdQCWxuh6q4q+4T0tCwLQMvrdb7toJ6EZTIh//aknmS1CDmc1wNWWiYKWS+kJTBW5XlMHdLnVQ0DY12qAMrlfUvRErhzDsjLQpeTtVHSRiAEhfmMSVNSE4uGQUsWCAw3oN2RBStPCOwzipyQIAZhEBMf1x0HU1IwJmf2UBAIfkUcEX91A1cIn5+4/Xau+5xOGwoCnycErt0q6YH7zKc+QyhG9cWe4idX9WBbLRdZkbSinRDDNMgXimyur2NI+opSBnUh506lbGxJX8jLpKbVasWVFB3HoVyuAFCrN1lakeKh8Via0LGkoz8wFm+dGECv29N6BKTSebqySDo7n2a/qbcLrqR6nW/wD/foybmnHH5bVqxcWzElBOG2OOw5L6DZ1hMH5XnMXKcnWVXTIFjV77UUVRSzFE1JMbUTCw5GJk9aFkY6Df37oufQFR06lk0TZiWdrO2x2BT9lZSgju3jCsFu0TJAIN8bp1/EkAE5qFZIy7NQMrlNlcp0hNjzI3v38frPCql+o83/FCLMb3r72/QTvbRAWSqC/vbUHn7s2ZPyfHe64uIwuVL6c3RYYqI3EmwrcPwwkaKxLQVWvmUzqr5oJlLJLFRK6012vsLtVqRLUsH1Yo1/uEeThGdzin9/TuvEGh57bKmKKIvm2a5LO4LYhyHZw/q8SdtExbZJ+pA2aMtCctk04op43axFW6pyejW9KJbPWnRk4cIEeuKQpd2QjhCCR7bJL6cwZHHLcFwkcxG/1yPoaLtho8jI93r8wYcAOHjgIJ//jd8C4LE3vZnrPvjnug3DoFLR38Tmik6lfvF9v0Fuj04N/t2//RQ/88xTAFQqeZrNnSPnjfpjp9L0utGkVbEu1dkq5RJNsVPhQLpGshJZZG8SZLnDxsKBiWcyjSTZXmJfPNm0QCbwu/dXOSiT/Jz8fnG5y7v3aRsf2j6/kpIqh1aGKVuPTxlJU816AQ2xTaHnUhJ9KlkG/obWjWisw1Z0ZOwpKsiLfQvyRQJZ9PfENuUyFr2s/t0EnCH6lJPPo1GyY30i9EnLIvxau0tNUiUnUikMuXYg6e62neLkkta3c7fewvxjn5cnGfLLf6UXWf/xwf0A1I6fYG5K27E/9k3+y/PH5aZcGR92YhYQvcdgy74hwbuB9fNo7AoZoGMY6i4lJ5DRrmQa7BYdi4+N9hlgal2a2TXJARlvCuJ3XVyv8W1H9WKQlfb5WfGbmkbAbrFJbWk26wU0O5EueVQO6+ddsAyCmt5vRQtTKYUj9kEBebFNQd4mkLRaV4rj5DIWbQnylCwzTlNUHY96S6rHSrCxbfusrugFsmw5jyuBq6bTo9qSdL9Gk06gjzle0+PZ/nvv49NP6XTDiz/8/bzqg38G6EIiT8mCfHdd/73xtV9JfkHr3U/83H/jk+I/fvb9v0+xmGenJAgDnF4HRYgjKUkKCCTP0g/CxAgnOqcSi55hmEj/Uv1jhhKB0/ebjOSURdFfIEtQBsR+eBolY9b+Y5PMit80I+ecOVvnXQcqAEz2UvxUqIOrdTPHnJxHlFbvBjQkvctzXeaPaZ9lNmPH45YhqWKpghX74dC3TWGhFBfC6Mk52ayJK4EAWyk8u389SypmTxT0O33q4otMhHoc2v3Gr+bcH38AADeVAklfvXDqFJOyYBrZ1xyKuvhCn3n9G/maJ3TK/s2Hj3BGUjd3Hz4EwIuPPsrGOU1A/uFHn+LfLGj6h1TKotdtx1UBd16S/lEiCDMsCza5QyVt3Na5XbKBrdcZtWoW6a6NylYA2Huwwl70+81LMObiUoN/eEA/Szsb8l9XpRiPCbOSoh+n13sBTdEl13WpHtHjXDFj4YheBOIHZ/IWXScqOtWvJByUynEhjM6m0BZkLBoSYC6lLdyMzGdaLt2ezEFFD7ycSVrmYL7jMl2QILbjcnhGF0q55b7X0VvU85m6zAkWn32efF1TW3zuXe9i/y//IgAnn3uK3//9PwBg7Xd1lfTNlZW4oMAHzi3xq/UVeaZhf9E5+Lvwx8fy/zcZpy6OZSxjGctYxjKWsYxlLGMZy1jGMpaxjOXLQr4EEV1bIc8jDoER0UZARWkXCbh+DKkPGIh8J+HXcTQp2YcIOh3027Uy/LP9GmGzt2BhCRQ+KnHencmwKulc7cDg3Xt0usapjTozEfpLIPhhRiFJkPjYdGQF/GyzTU9J6eqc7leakKpAZq2JDI1Qos6dkLpAbOsTuo/FlMmE3FvbVGRlxb/heCCEp+sSKSgX09SFaNdNpTEkUmB3A+YzJXkiihVZpQ+kpGxw6hSGpGbtymS5uVQF4OHFi3EJ25/68N8A8C9nZ0GiGP9PrU6vo5EkUxO72EkJwxDf85icmsKQSGC9Uee2WzU8t5DL8fSzGurd6XTlLIUfE7CaMVkkyuyj/gYIUYek0EICYp2MQgoRsumTSulndLHe5sf36O2iAltIu13Jl7r7UIVLniBoLJOvyet3ueY0mM1q3SpL2o2RMclLH1xs2oIcPFtv0dmiTykCpgQ5k5/J0ZOIqNvwaYr+Nia0rhyy09gCbnm40WJO0iqzpkFRUBFIwYNCxqIukSfftmPkjOkHzGb0d5MLDTwpGe8J6bCjDCYF8dFbWmY+0Nc43m2xf58upf27gnD5psce5yuEBPtPVleYmdE6ubzQxPdddjZFKCnJyPSwyOLW1DJjy/+Tx4ZDjkci4wlUhOhSYApU3uv0i1+YKX74gE6FuS5vYUskL0rbpZJjyRf0p2HxzTP63a20uhwQ5M0eIX5WhRRdOc8nwBe9ulBv4hqRLul3l1JQlmi/MZWha2hdSvegLSmdtYr+vWUZTIg9bpkGBbFNLcfDlyhkr671IFtK0ZNj07kspuhzu+UyUdGRydLeAtUbdGqGJym87V6Pe978ZgAazzzL3r/5CADdUoGsRGC/7zu+C4B/f889WELG+gcXLsSPutGosz1CfO3EsiwmJqcJAp+ypFOuLi/GadMbGxuE4eV0C2J9GkoKnkDpbCPmTSKWpW0zInPu9fdl8/yLQxUAprIWpth1t6f1ol1IsyypZ5nA5Bun9TtebNSYq+p7KoptCtMGZdGhXmAQSLT8bLNNJ9D3HErKvxGGFHxBmE7m6ErqmtvwaXgS6Zb02NBSpKWtjmmSFWRNy/HxRJ9qok8lBb7oedswCWR70jHZXxNEouOzGqVmCkp78ew5jliCzCiVOSa2+3mnGT/Rd/3mbwPwWwcPUb1O6+OHPvswlZLWt17HIvD7SJBrK+EWVBaiE0m08eXOVwkUO4l2/O2/D5BDJ9pVBgOod4DQ7R9rpPgxQRjvKaVJlfTzjGxMZz7PqvgxOQy+YV4/4xfPbjCxvwJAsSwoprRBNtKl0KQt7/9cs003SjeScS4IQzKiS2oyRxtBazcDuoIm7ooupdMmBSHE7pqKXFfS1dwgRp6ur2nfZY+1iilIs82OQyjfbbbnoS5pvbA9aIj+B1LMx8tleOO99wFQf+E0JUESXgw8Fhd1mtK7fv7nAPhXd9/F3UeuA+B3jj/HopBDW7ZNvdFgp8RQilQqheeHkNDZQL4LlUT9qRE2KPZ/fLaNh0oljk/66QGoVKLdKC9M3rvXIdbNVIb/6zo97u+t5MhWRJ8iP7ycZT2QohBByLslC+PC+gYTVe3XTgjhu2sryuKzdDMmpoxZZxotOuLj2qKvnu/HxZ3MqQIt+UacZkg9Kkw0Jen/lsIWv7drGhSkEJTrh3RMrS+1jrYPd7/uNZw4rekaPvYnv09Dio7MTczQauvz7vzqr+a5Bz4JQF5Soj3f58a77gIge+oMxiWtQ+WbbuC93/OdACxOSpr/hz5McUOjw36nthrTLXS7DoZhxj76zsgotNWwVLctflBkTwj7vk4SfTaQSZHwlQZQqklUGBC4cbvKzvEvjmpdmC5YZCvROCfzuOkc67Ftsnj7pLaFJ1fXKQpZfKGkffHQVhRlrtRJm/RkznC63qQrCPl0UcauwCcrfq41lY/ndM5mQE1Qxd6k1g8zY1KRrBTfMlCSSVEMFTXJ3jm5oucJlh+gZD7bSaXYFORVOggodfSzWvjEp7m0oZGjdUnVnz16Ha95w1fpx2OZ3LFPIwE/d/K5eM7z7p//eQB+fHqGGw4fBuBjoZuYG6m4QNMXywsfy/+/5UtwoUtkwIFSg4Po0EwhuVVlEhs3w060ES1YeX0DmVysSDiJyspx64w2erdIutZnas24WsWxQoZ9UhGOS006YrR6wm3TC30sGUCq5RzZSW2wmr5BrRRB4YWrKJOhKcbPNRV1Wdyo1zukuroNp6INe6PrYokBPWhBVqDU87MlvnD8HEDMe9LqQUYmlnlbURfj1rRMAklnygt3TtfzUFLZLGV4tMT5M7I21bSeNGe7HllPG8vD83sAKOZKnFvX0NdffeYpHr50Xj9i4Pnn9YDNHj0ZtetNulINrmBY+PJ8Lly4MGKSdm3EMAwymQyZTJZmUzuGhWKeDUkPOnHiBDWB6k5JusnyyhpeKCRBZmLADVz6/A/i/IU+w815f3HLMLPcMlcB4Na0bu/BWpuZor7GrZUcZal057a7OA3hLJP308aPHa9qLkcgZQ6VMmiXxeGSBaL5XJaG6JNjEOvTZq1DShYUXNGnesdByYB0zMySFX6E2V3FhD7pa/Uw8GRSeF0hD+KwOcqIUxpTMhHqdDvYLbl3pWK/opc1SUuKEtkCGbnneUlt812HZVn8+vPlZRYMfY1SPkulqp/fC8LLdWvX5XNSgauUnSKTjr7/kHQ2E1fY/OJIcsFqK1RegRHx+Zna/oC2VwM6BAMO/0AbfYdfpcrcMqv15kZbn//QhsGMcCncVMqwX1KP3QurdMU2OaJLjhESyjvt2CZ7Z/Q7c0NFrSIvStJZS7YdQ+zXXBdZ/6bd6JIWXeqJLm1EZTaB66wMRbHHpekcT5zUqRK26Jrn+rSLurGCrWhIW03LwhBdMvP6b933oBUtwvvUxQblJ6YozGo79Or3/mO450598WWpGlVvgKRK//5HP8Z5WbA4Wp2gK2mCH/zrvwXg/5mYZvXFMwAULRtDvvnJyQl8WVRZWV3iWksQ+HTadcBgUzi4svkCrYaeiPheIm0yueCVrA4V60iyemP01xy+8J5YOFV2gZun9bh2hyxafma9xaSkRd1UzlEVu9ld76FEn9wolYyAjPStWsoQFPRzDvwUvQndz5akmE1ns2zKtmfoxUiAWr1DShan3LKeTLbavbgCV9nKxfxI07NlnhDbFFV9c1D4opw5m7jia9OyMIWbJKpQ5Vkh1SjFNmdREx/ALGVIS2q34blMy7NXMolJF/K4Qt70ofVVTvRkgSux6LMm4+bEeh0+/7h+Dq0OCw1JzU9SI+yExGmRwxYQkgcm0oSiRQXD7PtFRgqMqLqm2KjASTSSXFDrpzEqM81tczrYdZOMc59dbzIlgZtjhSxzriwEXGzi1vW1A0nH6yifdDTOFfKUp/Q7aHVTtCr6/YaiP7vyWTakyqujoONEutSOx7lWQdugXs/FkjTvqqXidOuZ2RJPPjeoS81uSE6ChaYNzZ6+54ZlYslCly3j5Ml2g4zwZ1lpm57Y1XoYMCXciF03wN7QPElz+3RqKxcWWNilf3+4WWdVqBPWF5biL/eZZzV3khvC8fM69XEyl+fcak2O2NkpZBCGOI5DIPymoLnv+jyUW4MyiF2yk630D40X3BNTknhhNUEbklhsVWaW26RS9C3C1/eZFcWU2KYjhSxzEZfqxVUC8ZtM4bNqKR9bdHqiWiJta5+goUwWLVkMleDmgVKedfFDHBNasn9js4Utvk5LFg6abQdDbNOUDVnp8+x0jieeG/TDHQz8rP49ayla0lbdMshkxKZ9hV70bONyw206APv5j/0NXlv7R+cap7g/rce6oNrilttvB2C/LIA2HnqEtvDM/s6HP8RzwpX77B/+IX/0R5or8O4bbgDgrw8c4YxwDOaVRTINcAjF6DWSyCZdDsAwhFImXlgP6acYJoLNA7xuCV2LF9vNhA+e4eYZ7TfdXtB25zNrDWakqvGtlQxT8rzdWoOgoXUolHGugY8l49xkMUsxIwuoTZ+1jLZTUZr7vlKBTbFNPRXSFF2q1dqYMs51xDZ1ui6m6NKElceWANTUdJEnntO+bvTN1ToBdlWfVwscXOEgnCrm8YX7eUbGe9XxWZfU/qxtE8jz64QBjQt6ITSoVJk+fBCAvcJVl7bTPP/k0wA8fuIEz8iczlBgSaXSx55+BoDi/WWeffBhAErZAjSiip3hUL7asYxlp2ScujiWsYxlLGMZy1jGMpaxjGUsYxnLWMYyli8L+dJEdCm2ILiugPhRCfiXshlAQphRVCCqiKhAoOuDEdY+asI2DL5f0CSnJKB5uhnyvYd1JGm54/KwlFK83wtYjy4tcGY7DMkIgmIiZVOTCi44HmkhG2wIeW7g+0xKpNBzfUKJBNILyG4KFD4rJN++QU6qXtVDmI1IxdsdypI+aUtKifICZJGf1a5HSZ6hbZsoqdyxLqiyrBeSkeqK606PCUmHW2m1ObuhV+kPz+wmY+ljlk+fAeCC6xIsaqTDN7z1zfz4+94XP82IPPn58zoqcXcYxqkqYSIK7uNjRCmROxAEMAyDfD5PvV6jLRGbm244xrSgtxaXlmhJVNYL5HMxC/2KUCqEIIHCiSNPiTSPsJ/moWRt2bbT7N2j0+0uLtX5R1Kx56Kkd53xMnybpAVu+h7HBZF0Xd1nPSIbl2iUcl3yQlhaSdvUGoJ+wCMtpfDaGd2vS57HtOhT4HkoeeY4Adl1STESZJbtm+QkrWLTD5kV9IPb7lES5EaqI+/J8QkknXOtpysvAqRzNl2B7tfS+vuYKFYpSwT9xZVlJvI6KvtCYw0lunyw06GwWz+f3qomks+5Ht01jRD8mlqd35VqT+12kycef0L3J6X7Nd9osnefrhSTCWvkJcqbL5bIZjI7gsCxLIupiSmWl0cVTxiWdmj1tw27H0A1bZBodJwSjYJQ9iVJnpVBpG+2ZfOeQOvrBUFhnu1ZfHtV/94MPJ4SRNIdns+6tGHI+/J6DhlJpTo6XWW5tgnARruDyunvflMizd2uQ1m++RnDiqOUgeOTXpPqeKK3VmCghAi1HsAeef9BzyEv0Xhf+uv1PEyxRxs9j4J8UrZlYIruNsVmGl5AIN9B2+2RldRtd7PGJUsjHU7/zUc5KAhNNgXxUCrGRMPf8+M/yo9/+/fKNUxuv09H0D/+wAMA7P8f7yOKCeVyOXYJ2e/FC6fYSVFKYZoW+UIxJqM3lCKMkMVJ1EasCxn6KB2PgUj4QMo+enwLkwiMZGqapJyaaf6RoZ/1BSmTeNpJ8e3T2jatdns8K4iTG72Alei7l2i76XlkpJBJJWWzUZeU1sAnndXtNiV90HNcSkLGHHoexGOdT3otsk2S2u2bhJKiUgtCdkVowE6PrETkgyittucTim3a6Kq4gqNlKewt+mQ5PmuCpCz7BmW5n3YIm0I8nmuDL5VvKzI21BUxwfxb9uwmfOYZedZ9VN26oB9vWVvGFQLvYrEYI2LC0Bd0+uWQDa9UtqbUD7FJA2lkERLCGNSfGBSYQMr7EUrWJk5pTBRBSFkZvtvS22ek+MXpZsB7r9cprItthyfFn7rV9VgO9XssRNXnPI+0oOIrthlXIs4FLhlXqh9mpYKr41EUXVKeR0OuF/YC7A193oSMNb3QREl1vmYYMifXc9tdbCmKYYttUr4fOyLrXZBinZiWQWqLLmWVihM7O57LtKmvYaQsUvqWqRp5aoLWDJ/WFAnh9BQri9p23Z7Pcf68RgEFgR8jrOty3bc89jiEj8tVVOIV7mSKmbZNhmkRBG58rQj1piVgMP0ZsTuR7Qn628oGIxM1LKcnUp0GChbYcWpaKp3nHwng8KxQa5zppfiO6/RYv9p1eaSr+3av57Msj6SkIuSdh5LU/Zxp0NyQTIUgYEJ8zrqp3+WZTi/2ww3Ppy7fcugECdskflNoYln6fmoBzMtY53V7WDLWpRNjXVTYaMWBauTTmSGhOOhf+LiuZpexc1ji85T37SclhQnCXXsJspoc//yFi7zqLTolv/uC9q3zN1xH76Kmh3hjuUJ4IXru/ff1hRM6w+LWZouLFzRKZyC1GZ/tlTGvlSSRx0kZkpafRCsPQflpv8ge3B96CaR8gppGWfExtp3lvaJL50WPT/dsvndeP+9LbZenRQdvcH1WpImi0GqkfR9TdClvmQQNbQvTbkhRqo13pcTv+XY3rlqecn3CqABTwgfP5SJ7ZJJO6T7UA5gVdFev043TG5E5Xej6eFLBc6XrxH6Tr4gzGs5uyFzGCeOK7Ck7pF3Thrfu+pyV7I+brDTrT2mblJ7UKcD7woDd8nymyxU8SXn0/X5WSUP06jWf/VRMRu95ScRvMh1rLGPZeRkjusYylrGMZSxjGctYxjKWsYxlLGMZy1jG8mUhX4KIrvClR6vCREQo9Pv8EnYGY0JHf/bJajwtl4agsdbaPVRGr6xP5FK8t6gjPlXfxZNjihLl/eVMgZSsloelFFVBkLSn8vyt8DgclAjNuz2bc00djVhurlOc00gJw8iS7UjUqCe8Hkt1egWJGiw1mJDIZLHj0ZLoUL6uV813lzI0JjJxfyOg2HqrRVaWNC1BZhUyBq6svDcCxVl5PHsMFRPPK0E8tMMAqyN8SPMzLK5uAuD1QqalDPOEYeBLyeu8lJtP93pxhHX9Yw9gCdrM9504ihWJYahEBWE1QCQZ7GBJ4zAMcVxNiBvljR9//gSbwmmwvlmLgw+9iNfJrvYj2YYCP3q4CmOXzuk/IjwQwWaPtkRZVjseQVnnuk/ZBu/MaX3Kp1P4jr5IQUqT/0fDxa7pSG9QTFEsSvQ5P8knJRRzWFCFX2ukuCilzVeaG5SFo6moTIod3Z7ZE/6IpSaXCqJjCzXywglgd7yYrylX0/vmKxkaQnQ5XUjTkj52Oy1EJUkJwiIwDbrynnqBYkMi73uLBQJ5gIY8h0wxTzGvud2OTZSpW/qZBWc+xaxw23jlSSqrGr1lRlEzPDqb+r00A4/dezTR5fLSIo7w3ywJmqpanYwRgDdef5hPP/gQANlsltXlZTxvUP+uhXiex/LKiiA09D0rpWLC8EKxSFsQIDF6McmpFAaJbUhdrzk29gufjb/WoyH8WittHyWcCHPTJd6V0fvTbg9X0A0lIe7+d5ZDSnTJKaa5XvSjU8nwNw3dj8PSn79npDkjSNEL3hrVGSH5VZCXctZhFChd7dHOS6GAhQ1ssU3zbY92XvetKraplLNpVQSNkbdjlKvfbVIVBKlnRroEETZk2Q1YFLuwm5ANiV5awp3kG1Bo6H4ZxRSbEb9SYDMpx7ovvMCy2LSSPLNMuQzf/9264XPnCYVrq9lq8fTTmoPida97PQAPPvgQZ86cAcA0TVaWL/HFkDDUXC5Or0e5qiOqvudtiWRvjXonIu/KJkbkGFnUjI76H6zob9rbdGgKme56x0eJzZrMmHx7VV+j4Ht4gqwqCJfMf7QCbClU4hdTTAhiyy2n+ayMWwcFQfU2I8U5QXEt1ztUZKwrYlFwJIQeCop5scWyoAWthc2YmDnd8XAEpZUVQvj5iRx1QbxWc2k6gpbutppMij51hDMnVLAu+l0LFBflmRwAVuX+bdGnNT+k2pQIeT5DMxDb1fIpin7bltFHhUikezqfx4i4f+qNBPKAuIR6ZAdc4UgEaDRq/N1Gt/scPLHE6BljcH+ioIUhZMwH5N07tS5tR3Sp68Xj41QxzXfOar2phB6eo59FRRDr/zVnYW1om++X0kyXNFIOL8dnBS18RBDTbzdszjX09mJjg+ou8Zs8g7T4TSkZi9eXm7RED1KLtfjdZTsenuhSpq77kq1maVfFj8mnkSGRjWaTaWmjK/dTMdPUhWtrwwtZkNe8n5BlQbRG+Nuegqqpn9P0nimcVY0qnXVCCmntb05YKWZvvknfsvhE3nPHscr63hZOvUA2q32GVqsR61DMcTOAugkSftNOogITovq+mmFa+N7lfLUEz5uC+EkZNsZkBYD9Mxrq5q20aMl3su6CErTURMbiH83oh14KPbqiT9FY9x9TYNU0Mp9imumifs4NP8MDjtbDm8TWf62Z4uymHmlW621S4junQ4sZhBdOpkjNxQ6XBI1oL9bIynXn2h6e+E1Z8ZvmpvJ0RJ+mihlWO3q/0WsxJ6iwjiBzQqWJ8AEaXsDTwkt4ZzlPTfQpmqR1m3X2Cp9nfWkBp6CfWVllOSbcXf7CMtnJaX2CkOtz8RJluedT9c3E+1CJLd2v2uZmrG+d5iYDBSbUTiG6RskQtGlMKm8M9ifmdrMgq/3Jo/s0wjZo9mgIr+hKLwBBVs7kLf6x5usnFzh4wt0X6dJ/SYO9qf2qmVKauYq2TdZMngfbuh/HhBD+LXaKi3X9vlbqbarz+ljDMsh6UtxJ+A43Vtu0TX2+tVgnI/ygMx2fcIttmp7K0ytrXZoupKlLH/12ixnhK+0Kgm22lOGMEFDWPMVFsU27LcWacPGm01F2jEuwqfu+FoAhqLFsq40kgZDaWCdV0t9jQWxTanWNSy+8AMC675ERlL/j9GIfHKOPEo8pjAfm7GM011i+uKLCHYY4X2tRSoWGusr1uSRZYUz4bPSrJ2ZymFVt1HNz+kP/t+strKiiXqXEr0kawddYDlPiLLtGQCgDeiAOstV2qcoCxJoZkhLDnLKsOEWmJc5JM1TcWNEGYrXdwpPFja4f4Mn1iiUhztzskhNHz1vs4gipbtj1kfUz5ue1YZ+rFvCKuq0Nz2dDjFuz12MmMjhiKE3LZEkctkt1B0eMz3WFNH60eCGDw7RtsCKTydlslV5Lt6usNNPyLsozs0RUg9fLAG1MTeAs6YWHoNcDWbh41dkLdL1oKisLAoBl67Y8143JPJUCVwaTEP/RMAzv5hpKNpMNDxw4RLNRjytBViolNjc14fOlxUUaMvGJF0ihn7oYBiCTZ5W2MWZ1G4Vp/Z5+aqUX61NYLvJBgSzfTY9MTJYbEMhkMojqJLQdJjz9nzUziPUpbVqEkkIo9QPoGoqjJX3dlWYzrppoWxamfANpWSizNjsU5L13F9q4CX2S2gbM79GD23y1gF+K0s0CVkUfGt0eM9GnJU5cLwg5F1XHMjLs2aPJUfMbC/Tk2I6svJYULDf0vd9z71dx9pnnAbjjnnvZdaN2+mc6LquSunfyE58BYP8N13Ppk5/Q1200MHP62/0R3yZV0N/Tiy/qdLK1lfPcfrsmIE+nLc6dPQPAmbNnmZmZZmlpAcfpXdPZgFIqNOLJ4Qi7Gk8iE6mLcRUpO7ZZxkQFK6q0OaPf5z99sUYhKgiUz/MhsSs3BV1yMmF3jSCGwsdZIm2HitimDTNkr1RNDIMQ09bXa8hCUBODYzLJ2ui1MUpR1bAejjQ4IQsl2YbLhEyUNy406IpeptwQ//9l70+jbcuus0DwW2vt9nT33Pa9+/qIeNEpJIUkS1aHW9yDbNNlAllQUEVXA3AlUK6EGqMqIasKMnMUZEKSIw0YsI2NmzQ2aUjZsi1j2XKnzmoiFApF996L1972tLvfa9WP9a11zn3xZEgybjAkzhxDeifOPefsvdeee8655vzmN7nR36Rt2lnrYMp9zV7bouIzUdYV1rhWXT5muTG4TVt7a1T6Z+LhfoKWifqKCb+zscLR3H62VwCCBKsba0NEY7uB7hiJrW+ySasLDASrJMSYtqkuCjz2ge8AADz5t/8n3N63dqpHEuzZdOwXc31zDZNjO4GobRfTwrRpXnfbJKU0YRCj2x8gZ4J0a3vbt3Lv7+35lsYTNatlEmfXxtEZQpJUvnvG3tP/59Ecsds/dFP8FNf2faJEzyUJ5aKl3Nlkk1VLvk4j4dpEKoCgDsy5eZtB4HEmRQ5mcz+FMwwCtLwO1waN4wx9N9ziTobSTTcoWlSObJ62aWerD8PE23HTYsIgOy8LbDu9p4McVw3u8BruTSrfsnG1F6OJnT7ZdTwTSxyyCPW2sIuYCb3ACPR5DqpscMRrfmLdJuxzGE+6r8oKY+rFu67dQFkvEltWGpxsE1xuLwW0bmCMfv1tk1hKNDxIXCLLi1rSpcXgAjHcQniWcdOW/c733p76ZGG01sc/p1/41qFAnxu5SrRel5TrnsoqrLEldl8ZdGg34iDwhba5Syxp4KkNu4Hcm89hOi5ualHwPDe5KdRHOXpsmynv5ajZHmvKFqxRYvvCEACwtdWHTOyxRq3GmH4uL0tsOz9HXcq1xpx0F9eOchg+E48MEmjqks6szuwmCkcze71Pbl1AvGdJ5+fjOXbZgra+dQZf5Pq8+dIVAEAtBW4z2f7EN34dgomNRd78L/8Vbu25lvtlnVlKqj5goIE29etum4IgNP3BELPJCE6Xddsspd3FQnd8HN4uteEv2sbQ6UP1rT6tXbH+4q8cjcEaCuo0xc+wzfQ9psKgcYNuWj8MJaTdEVmJtcq+3lMaKdcmDQKEVLqcz+mkNXhyy9qT25OJJ4WPAgXDlvwB/Z85nGNAnzW/NUftqEXy1ndYn7myDgDY2B4goD7NWoNjFkjnRYFNp/csGt7LKoy4frO8xR6v7Wo39L6upe3fTQMcsHD08MY5hBx8NEw66DIRIdIu1h9/AgBwiUMK0Ovgc7/1W/Y3dnaQ01a+7SMfQdHeV/Bbtjp6aZAS7YaGgTGvb2+1ENJIuUz7cf+JLCdzlxPvbHeV0VK7ooDgULDBpSEA4G/oHAltUxFH+BkWgr42bTFg3JPLBS1MFDg/V2JIXboXaHSor0kQQjGDM3VE8Bp4asvq7r3pDOCebl63aKhLQ9LHtAdzDLie2d3MT5LWeYOa13eWurS5M4BhQitrtR/WkpcltnieunCJZoHnGf/sTSukbH98aqOLoOOoa+zfh0rg069au4JMo0d9PJN0cH7LJkpbI2EYVz61Yd87TGPkbJkt5nN0OPnz/c98FoVeTFW0C2iWXt7n55zNOIW4aSUruV9WrYsrWclKVrKSlaxkJStZyUpWspKVrGQlK/mKkC/D1sUHyZdAT3i0moEnR8VidDoaA7Vmc32/i1Vu1U+QcwQw7hT4T1PX6pJAsEqTKYHpmJVJVok6cQxNEttAG4zYKxiaFn1WMQXRE4NQ4k5hM+GHskGYs1WianFMaHNQ2H/3dInHR/bcm0CiJiom2e3ZtjkA9whH3e4GWDeO5LnGdaIeIinBieoeubXZi1AeWsRDHBj0WbiZlK2vEDoI/3YLRDkJo9MOBrtn7TlWDczMXsedtQEOnyWZ6rqtRjxWViiIxuqGEUZ9W4395qSDfzUrTtwjA4O2sZWmfr+HOSsFTWs8AetpgA+btsXR8THiUGI6mwIA7u0fYGPIdjptfDvhLHM6JBcE9GEKEL1g6gYhoXO/my1/UbeP2TOWFFTPMnwzofRFRwFuyIACRkd2PQSJnXtxjJb6JFss9AktBmzTMdFiLPWdzN7LI9EgKOx5Bm2BkjDsM5k97n5T4PExW2gChZqfjc/3kbJKdZuos7O9EAPmwtuiwcvUp1hKlA6B5sjM0wAPP/woAODiw1c9ufnLH5tAk6Q4YVW23wgc3rSomOSpBm9/53vsmmhgZ40tWk/sIHrFPofv/cN/CABw+LMfwhPf+I0AgOu/+Euorz4EADj3uS/g11+0v6dLew+3z5zFdGJbRV7c20PB9YnjCPPZ1BPnn478Dmiu+zvNjMCivSzwz56ezhEQYfg+Vo+DC0Mcf9G2zenJDO/mQIsqVVAxyZilQMFhBI60PIoWuqQMMGKFMBLCP/eSFb/L/RiHU/vs3UOD/NDeuzUIHNBbhJn93ZfyOR7N7G8N0ti3msQX19BSl46oo+eHCTYKEpGXLW401iL1A4mY10weashQojyy59AJBRSfryxv/ACGSjq0D9C5a/WyM60gaGO2N84gO7a/Ib/qaZx/kx2ffnbXDjh47h99P0ZEdHXe/GYItmt8+5kd/Bj1vCgyf6+S2FX7HZLLrvBpioBAEATI5jPEHAoxHo/8YW37rUMGLtes3HktWmhRlwjYFvTVRGlGgy1Uz98EYFEo30Z9arsBQqIbSqlxcMQWGtqmbhRDcyjCsm1KhF4Q4BKN0w0Fbuf22RuJFoK+LmoLVCT6FtSVg6bEY/SrOlRo6YDS831E/L1D3oedToA1Xntd17hN1EMixMLXUW+QBqiJzEoDgZCOZFos9Kl1+lQC3T2r83WRIeBwizhJ0LB6f306RzS0a7k/t9e2NRxizIEHQa8HTb/33VGEH28cosv35i+1ny6hFcRp1x3/Lfrq28qWwkJ/ngFcXdTMC0i25L13jW05wQaKFyzhdZ7n+DbGTb06RZg42ySxf2DvTkS7MIhiGO/nNI5TIpdF6xE0TpeGUeDjpiPUkBm/V2uM6EuTOWOipsCjTpeUQlstdCl2uuT8XDdAl/egKhrcIiJrWZdK3nsRKcyIaK/bBgPGW4eTAp2BtSFww3MKQNyy+jHeu+kHH62pCA2J9D9T3sHalSsAgIMD68OCQCFdG/B4EUaf+iwA4JvSLn6Iv91J2WaXJDg6tFh6IQSMh1CcHt0DYNGdaZoin45ROwSxkC4kvS9WW243I/JGNwtUvDaIztvX7xgy/hmegX7B2qY2L/DN1CfdCxHRH5ZCYJ/+KWI3wCCIYDR9XWMwpj5VskWP9zCnvYlihWtzi2oZoQE4fClqDVo30IK+edSUeIStiSYMoBmHdy4OoKlP96hPu90AqdenCmPGyB0pPWKn4JrFvcjTR8zKBg+zRTNIB6gqEofTNoU6wlsuW7TWBRPhxS98AQDQf/NbcPYtluZgJAUuPvE4AOCQ/lj+2m9im7bl4PgYO0TsfOdwEz9xaBGCiqijtl1qjTf1SVSeuQ/99bqJQ/vcj+K6/zNYQpiKxflo6Z85hF0o3rv3s0un1QHq6+wsyTJ8ixtoEiUIiTAuBHDvwD73MVvph1EKo+1zGrTAqGPPL0Hj0b0N730vUrid29jzCA1kxj1d2WDq9nS8hv2mwCOcJmGUgnZ+7tIaEu4n92kfz6QBUjdopSwx4b4olRIFock5UWkqCNChDl7e6GLA7xV5C8VhVyUfzGDeonfPXm89K3D5yTfZ5asWdnUWh7j08MP2e0SgDvf2EbIzJ4hjmMTuK75lYwc/c0BKhyXbs7ADAm9YO/VKVnKfrBBdK1nJSlaykpWsZCUrWclKVrKSlaxkJSv5ipCvEEQXcJLzYomcE4DN56nFey7NrGtUL9t+4zWWoo/vzVGwIjBRwNqQfDZtix4RKXHReq4szG32+2BeIVq3VU4ZaM87s18b1ERQNCSETAqJOasmvSBAwD5obYBL7MtfZ9XhiXQL8izHr7cthKsWNhrRmj3evdpm5scRcINojP08R+n69iGRs1KgWA07qGs8smWvbVw3mLKqkFUtBiRzjI+ZuW9jfMMf/oP2WB//JMrAntv5EBBndwEAN8cjnE3IAdOx3x/NM6wTlXJcFIi79vWHiwKLHOsSOoKV5DzPfT1HCYGkazmDptMRXm9pmwbHR4cABOLYXlen08UROboAjSxjRd6RBakU0HyvaoGI/G8mQHXdvr8VWN07vDFHzt78kTLoDtgrX1Ven6KiRUI0haA+3ZvNEXBQQhBqrHNF9iqDNnZIBnusJJeYs4rSDRUiEu/2ggARmcPdKPUnezsILpCXpm4g3OjrRqNDss27rCROYoFXyHN0OM8xpZ4OpYLDKLSsIA0ihae2bUX713/9wxiuDe0Hzu5A3tnjtVndNNeO8a43Wf6sXQ00/N2no9SjItYefRSDxP7e6Bc+DAA4fuFFKD5DWzvbcNPMf+H563jsLbbSOR6RM+pwD6++Yivknd4Ab33r0/YcpMKnPvlxnC434f2cEjzW8jHda7mEumkzILDXLMMErX380BdWF6s7OY7JZ1QHwJC2qZ7lnmQ0LFvUnivGrtXtaYFg0z5Dw1Rim6iY/VbjkCgDQZTSdF5izHOL9II3S8LgMrno1vj7j/Z2PG9TVdV4kpxWlTZIOYzjiBXRLBY4cmTVKDCjbUpN4I/neI1CKFwlInK/ajAnX1RWa4Rjogqpt8FRjSGRlt1e1/P5rd+4gx4HZdz57LPY/T2Wgwu3bNVx5+GHoQ8tZ87xzZvohvbarg/WsbNj7ekrrzzv71VBvsPi7h2PMAWEA3OeimijUZYFpFQeRRZGEc6etYja57/w/KJGSlQMRLSwTUICksMEZIDqi/b5O/smckUeZCipT9MA6JGPRpYVItrCsGjRd7aJ+nQwnSOiPkWhRkI/e7fUqGgPKj6ncb7k68IAisiaUAicYfixTjThE+s9hFesPtZl7X1doQ169CNH5HbMIoM7E6sLR3mOCW1IoBT2aRiOaBMTBHhkg0NR6hYz5+tqjYi/EXh9anC1pk1MY4Rc4ce0xJTIimJ7G33yEcbk+5xXFQKebxtHGAyHAID/9cVrWJDlLSEiPHrLLIUueonD7zRE0Bwt8zstHc+f07Ltcq+XELBNieKVEQDg7MYQAJDdmSIb2Gd2Kg0Ga/Z1qVso2guVt+hwSEVExMPxfI5w097bThSiw3O7UzWoiZZwcUyStd7P9aMApligVC/xGOvU1asbfagrvB/LumQMBt37dCkwuDUhUmyeY8xnXUqFffJnTWmbBghxiYjI9UGIA3LiVBpoqUsdIvfbewV2yQ37WKiwz2EbbzYKRUI0blPhSZKHHxGVVD/zDEIiOL/w0z8DkDPsZ/b2kTK22t21RNtFkaOprd/OixJ143Cx4nQg8F4EhJQI4wQd+oXxaAzjkO4neHTdeUSLZ2BpYAtgULxofdzZHrl7jo4xoW3KAyDma1OWMBwQIPIWvc5J23SUFV6fkjBAymPcK1sU/F5FH5HkLbKluElx+MVaoBAx1tumTr95dx0hEa11VkHQFuRGe33aK63fmCuDVxk3Hc0WtkkphVvUWU3k1qaK8fi2Xb93XFrHq5k9h0ltcD6y6ONtokfbZ25iiwNhdJvj8oblB7yyP0LvXUMAwPkrl3DwMz9nX/9Ri4Qff/yTfvdz9/Zt6KFFzf9iXiAiCXm3Z+OO2WyC2pHYyWhxjww7PU4FKfil0D4P2NMtD2LxOtYCmlyVRYXmnn2udy5RN2YZZmvc60iNPuMmXZaIuc+SWY0BB2uEjMHHsxygn+vGGl1e+61SoyI/lnve4qzFARGoa3EITXSg0AbnaZu26F+f3B16dHSVVZBLutRPyWdZWluSSY3bU/v6YJz5GFxIhVuMiyqHKquAtzIG14HEhOjpea3RckBDh349vTnHW1KrV9HOeQjamx2joKnPF976FJJ7NoY+886vAgDs/fKvADzf9MkncPiK7Vb5lSy7734BYZR4fbFx2XKH1QrdtZI3Tr6CEl0PIjJ8UEuAWCLsDPzXftKi7vH/MRqGkxYD3aKl8SqgkTGQgVKeBFNzekY/DSBJ9N4IQDiS+o5Aj85LMYkVyMXZ5kKjYeLigokQOJJLOkSRhpATG+iktUFNhs5cCFzm9Y1pSKMkwP7+sT9GwLa1+bwBu92wRzLmM0mMO7V93YmVn44xiAIoaQ2kI/0Pd8974ntVliho/PL1dQwSOoeDEaIL1jELbjSe/IavxYu/aJMUewAkE34tzNI9sO/1el1kuXVWnW4Pk4kNFLRul1qFXn+RSqHfHyAvCuS5dZBlUaLVC4cecOKSdvqkq5OBXEUnm/a8yv0gJ9/917XxpMqBblE0jlgfuEd9Ekp5AvFW2Wvd6CgI6kAjA2hOyAw7AjH1aUCnFbQGjh+0FAacOYTzYYSALUiaTrHtxQjH9jrTxqAmoW8mJR7hZmDEREjcCXF0z+qIUsA6E8CHoxKSjn7MTeNbzl2CYLLgyceu4uYLX7TnXpRouT6K7RqFCv06jIZDvO3bvtWe8GSONU63++0/8adw9U/8cXtNm9YhX/2jfwSzmQ2Ie9/1e4GPfQIA8O67I9zdtw/wyy/bdsemHPnbM5uM8Onf/m0AwDd967cijmPkeYZTEXFf0GbMl2hJWg7cHEOtAVq7ydI68pO1fsrYwOwtxQRdTu2cti2mVe2/dzilDkoFyexLrez3N7qLwKvb7aLh8xkmAgMSQTud6SmgYfJr0rTgUEZcRoiAwblgsJXLAEP29iS1QU3dzWBwhbo056Yv6YQ4umv1TkOj64jE89aTTh+6BK2W0Gz3isNFO0wqJRTHfSq2Z86yym+OO632LUiT+Qwd2qYNAB//Jz9if5ubhmZvH+d+77fbHy5yfPYTHwcAvHr3Ns6wxW8+sxuCvb29E9PMlpOkJ0O711ekVOh0u9BG+sl9VVni6Mja+DiKUHkdWCagX0qiMNEIk0BwIX/swP77tyqNilNxZdsi4yTSEEBGfTJSQtL8uvs76CgYJv+bXghJXxd3BBJO5+0v2Sbh2nhgULJz6ekwRcCkR8uhHCaJYGb2dVobVOQa1gDO8tzntE3dTohrJPcWwqDPNsjDSQXppwVz01wb3G3tOqWRguL5dpSEctMdqE/TvETLjd6GFGi4lsdocEQbOi9LdHZscmLCZ7Q3mSPYti37B1mG6/vWR9pxF85/PaD154S9MExOnFaCgkn35SmvforZAzabYjlZshS0COPb9X9s39qEv1ZpgPdcao2W/r2EwdzFTVKBg6cxp20K0wBN1iz+zhabJJXoUJd6bOMJ28U55tBwQzsvmci3s4FkzejEMNSrtAKqmK1CxmCLujTj73a6IV72urSYulZXBgWXZEz/LCuN2yTwTmMJwUXpBQoxW5QkjWZR1IipdwrALtt9DyHRZ7K6v76LPLLHW0tZMHvzW3DINsaZ1siO7blppZDGTMjTT7797U/jsat2+vDxeIxPfcr6OeEuBjgVdZJSotPpYnx4gIytedZGLlvE+xOn+uR7XBs0AQw3zz9+w7731VELMLkltfak6YkUuMdih5YSyukTjVSYKrTc4FdCQTFuilKBDkm7e4yXgxakDrBxEwdT40IYIaKv01NSbPS70NStXgmUHE1nWmCLSfIJfVq3G+Glu6xSLdmm42mNkvfkkIm5s4O1RaulqbHLGHmtvw4VWAN4TN2U8xwd+uvq8BC7THRlzRxdtuGrP/MncYbJ2f3v/wF7Dr0BspmNp3eeegoT3o43Pf0U9o9s2+u1azZu0q2G5DlqYEl33ITf00h0Pah1cfngy+8v7+30yY/5r9n7/89esXry3w9alGx9lY1BxkRnCIO7TAAZoeAqp1PJokkqAfq5KogQUpeSFEhJ+TFwutQYGG6nC7TIOaHzEiLEjP81915y0IVhW+mgNChitkVrgS36rplY6NLLd23xVymgy4L1aFajdnaMNvpSJ8WERYF+EDhmFMhA+Imi5aE97jSvYZhs69c1OndsC+u828Wssud5fjwBh0vihZ/8aQDA+nCI4OErAIA8ipF81dvs7/7mr/kbIVn8ieMQKRN3WTbzcVM2d9HmSlbyxsiqdXElK1nJSlaykpWsZCUrWclKVrKSlaxkJV8R8mWK6Pq3QR9dldKNnP0Sl9nWEMzIP8z2wNn6Os7cYhUnDJGReDTshyhZKWlLDaKgMedP96IQd0b2ex0Vokskw9qs9aTxjnS3CQUCoiZM2yLO7fnmgQEbTaCJDrtZFLhwwcJnb2cl7rDCsJXEeIakqdvMzL9aTJGy4q1bjZCE4bUQuEs4fsuq60Hb4hLPvWm1by8oCo1eaD9TsOJ+5U1Podi7638rJex+v6nRG5P8e33oIfYPPWIrjEe/8TEYjm3f2NrANqvA/+nmBn7orkPU2DXZ3NxCfvNVAECWZZ7kP+6mpwpyNUajritIITziwSJp7LkKIZfQXUtEr8a1BwULVawqyNjewScjEp++eYjzN61ehGGIUWZfq04AzVHSTWWgeDzX+tONJcYjEvfWQOrIVmeNT0+7trE2UIgcZ2irkXC0exYZ9BxZPKuZB0WG3cu2/eHWdKFP22mMZ9n2ukF9ulVMkbIa1bYCAZEOoZS4TX0SrEa/OBph2Np7Op5OINcsKkbOC8Qc9zwhQu3y028D3LCBL3wB+CpOF/6Ob8XLf+rHAQBv/2N/FNdIttqlXuHFa0geesh+7+d+AdW+rZr+ns0B/lc+6l94/iV/XwQre0IIzIkEu3ntFXzjN3w9fvHDv4hTFV+MXEZFiCWz5d5bqpAuoznyGdBYRNEVoiNmT27gwl27FvthgDlRWm0k/GjstmwWhXxWh9NAYja19+tuVuAhDkRYm9QQRFZIVrALrdHQTg3iBB1t9XViDNZ5mi3hnYd5gd4l2zZzb17hHkncN9MEnz62doFACtwdFL6yXdUSbeGQsga3WN0EdWkigJS2om21by+YzypURFZUrJh2hUDbs9VK09oWXAC4WeV4C9tngyxDftMi/qbr9r3L7/oqHH7eog4vvf1N6D9uCXy//61P4//x4z8BwLaaAPa5rYl+TdIE25u2bejmrZswywTjr7MYo1GVFRptkBKdVmRzaK5NEMUe9de0rmYll0AV9cJOlSOAraWPbdrvTwdruHDP/v0gVjgm4jLsBDBcR11qb2c0bVMvlJgSZZzUQIdI5bV5A3JzI+B3TCARUZ+k1ojYFnJX1OgTLiPYMjTPDB591GrZrVGBQyIohmmC5+ZWDzfpF+6WU3SJ4qnrFiAacCYk7rGqbWgzKwN0+Qw29+kTQVoezdETAi39njYCUxL9frKY4t0PW7+2UVVo3Fj6isjDjSECVuE3ihID6vR3pjH+hUNbLqMRxBJSyrcPGpxuu5k7B4d0X26rBjzyzCO+llE5y23XNRTbTa9uUTe66zh3217nYRhgQnvTH0Qw9Bu6ajw6E7TXaRR4XQrrCGuMm4ZZA80Pu1hABwIRSbMD3SKd857GAhGvqaWfu3d7iotXrA+6Ny5wQL/bjxO8wEE4G8GSLtHP1bXwujTSrUfsRYyPplp4UvOmBSLqUj6vUBE2n/P5fEII6J6NlV7VGhf9wJ8Cgw1r2x+++giODi1i49rLrwAANjsdZF+wtqnz+FVsHVt6jW8VBh8lMqXTWBs+nU4wnVq0Tqtb9Ho2VpzPJh5JeRqilMLaYIBxb4DDfYsGOdmOuIwQlIu/++6lZoFCbRdx0yNn7Hs3+wmu2svGkZKYk/w96ih0CATLisbbJkVf140DzIkKDRs77AQAhlm7ZJvY0qqAhH8PtEZKJFiTCER8JgUJv++9OsbuQ1afbjSlb1ntxjFqPt8OjXOnnKDXWdgmTf2fQOKIQ1g2SHNypyywy2NNiwY19TsUGm1AO7TBQSh3M++HhkmM9W3rh2a755BRv+N//MN+EEZN2xR0O9hi6/eobXCBcdM79w7wfTev2bUgmkkFCm6htNa+myKKYzRNDdOcVneF29OJ+94DTtA/nEArL3WF+PdbgPbCtavfvSDx5IwxSyRxRL8SpRKavqdtDHj70BAK1UsCzBmDqxIYcu+0nmm0vGeOPL4JBBybTaQ1IsYpTSCQuHOj3t6+PsbuFRuDX68qHFGXenGMirq06XVp7P1c07Q+Bp+KFkekLonZvnutqPDW7oKKJCL6q56WGPH5OSak9oIQmBMOqeYzJNwjvzAZ4yHasfEnfhsY2PhuyNbGO3v7iNmWn2xuYOu2pYL4gxcv45+9+Jy9fsZxRVF5vWqaGhEJ7YWQSBjPzLMpVrKS05Yv00TX7+TAl4ylCxpNvXhPLCabQQYwjHSfJnx4fqvyvc/TWCBV1tkUlfFTnAYSvkd/g0ft9CJMuDko6gaSzkJGARQNhyIOdC1ViPh3sRajYG9/kkSI6egadtU36x08R0O4JiM8RudX9kPU5GJ5bkpoe9OgJCS61wux2bXBUJVV6LvJhUxidaoGDY2mkhLaLAK6p97xVgDAjedeBAD89vVnsaOsYT4AkE9sBHLmbU/jN1+1G8inL1xEjw722Tv2vaObN7C2aVcoKAr85HOW8+aH7t2BE8m2wKPjMTod25Y1z+YePq1UgKaucFoihEQUxSjLAsYltIzBuV3LPXb7zt2l9g73rWCpVUjD879JhZYTMt93jpMab89RUp9GkW2VBOzQoZLOcE0YCL7vWq/SXoQJkxdZ3cBorkcUIOBrqg02UoWI5xMMJQJubtM4Rkw9dbxN5XoXX6DzHqoQj1If2l6Iit97fmrvr24b5DM3CXOhT3le4SqnrRz3bPD3eH+AiK05FzY3MSb8uelGaJjslHSaZVLgA9/zVwEAh3UL/O6vsxeyf4i7D12w13H7NiIGVd0PsMWsqhA89Wb7+smr+P5v/W4AwKfOX0RxYBNZUUieqHwppl6asPjiSy/h7t27mBHK/7qLz8E/KLkl8WDbtbTp9R9VaAl1fyf5Qqq9Gte5JhMBRMoF0w0q2p4+Fs/UOo8V9ULUtHmJEhgzeA2SyNshdvlgMwr9xKgyBVq2yQ57CVoeI6fbUMMUL1CX1qMIVxgMtb0QORNke9yENfMWGTeY3V6IxzeoC1mJiMFQyevvlrUPJAMpAT4nYRxABg7mb893/1wXm0yaPzvLIWij4zDA3VvXAQAXwxhf/chVAMDdV+0kr2udBOGGTarM1jZQrls9/jfPfAEhdeibvsHq5fVXb+Gjv/ZrAICv/bqvw0svvADAtkGdKqeSsZsNJYTnHjNmsSmpXMs0gJMJ06XpsM5OqY5POLyTn83ulXilcL4OEPxsWxlU3OwPJRCQk7HHXw37EWa8J/O6Qdu4zWYA4Q7NOsZON0TAv0cbCvOCk63iEKE6aZua9S6eP7TX2REBLicLfarZgvnysm1iEarTC3G2R9uUVeCeBlPa5V5VeU7BUAmvT1ESQlCfnI042O1ig9Oonp3n6PC5WQPw6y/a5MOjDz2Mh/v0h61dlRujETK2ka7tnsEHP2+T9P9ingPSTZdbSnh5n7Kc2Fra0J2KPGgz6eIitaTLS9QOJxLzjqOyi7ay5/lucsNV+wVu008fA+izjX1atqhYIFyXwutSn7+q+hGmtCtlXYOdWYjUQpcC6tLZXoiEsVQwjFDYvlDEcYSEupRRh8Wwg5eP7Ln1gxgXOkyGd0PUnAK80KUWOZO8vV6IM30bh4hqjgkTKRNnm6oKJe9REkr0mfxV3QgdnkM+s8/UzbMS7yjZ7i9CNBcvAgBmr1zDwWc/DQB4bD5Dj22MD73jbQCA/YNDzHfIwTWb4Wfv2njpJ2Y5dgdDAMC585cAAJ00xJwFz6Zp0NR+du2p8lAaY9A0FYYbGxiNRgCA1vODwRaZ75/Spw0WuiWWVD3wCYf3sB3VHJW4Ths0DQHFZznPGuRsne8JgYj61IG7D6FPTudVhZIT9MIwgGLcBPq08/3E5TQhBhJdKlynGyNi3FRpZmQ3eniBEx43oxgPMblQdwO0rbNNNg5v24Wv6/Uj7FKf6nmFu9T1gBMnL6P1prs2EpVxvHI5YtIrVGN7vdlA4mxk41Js7uAaE/rR2hr29m3rovzQh3CJSdSM9rNuG5RsL7165Qr+3kd/FQDw9w8PPN+kS9yjWRR5lVzoUFmWAMzp5eFdon25Bd/LciJrWZYK0D7cCuC2te/iSOlgXONlcipOQkC4Na4MCt6PtSVd6vMcwn6EMRUkrxa2KQ4D34Wecer0uW6EkO8FGwql29OlMWLahZJxmVjv4aVjqzObYYQrLBpUnRCts00TG8+2rUbBODDpBbg4sAnLel6i4HVq8qxdEAYFARJhoFBlnBgZKayRaiTiOuYPDVFds/bvblZCkGdv8+IlHHDPtiMUAtqWkvuhfDJB95K1Y83L1/F9n7SUD//spZcgpEtw2WtY39z0/GPHRwcoOBlZSnEqDbArWcmXklXr4kpWspKVrGQlK1nJSlaykpWsZCUrWclKviLkyxTR9TuVFSQWl/Wgz+kTbUXxjs1eC1bhumngW360bsFEN2aVRspK8EgAKrSv3XtBJBdk3TONhrDQw6pESpTWOosm00oiZu9jM6ncEAs0oxKF4BQfEnGqKoDk5Lyd7S7EHZuFl6XGtGQbHNuA0lC4jgBsCIk2WED/O4TjJqxcp52uRwTUtYYhVDaMI3zs138TAPCOb/q9AIBrv/lxTI9t6+Kbv/6bPSnn3nPPYf2czfTfvXEDCRFZ25wudOahh6HZHvS5aoafZ3VAQON952xV4EXC8k0n5fRDW63vrVm0RZLEmFanh+iSQiCKAkwmxaICagzu3L3nPnEfIgd47eADfiAMkJyzFZcZq3/nk9Dfh7qu0KVezCqNxOuTQcyWUw7/RBMrbFIH9icamjpyWJdIWRnqs4I0rQQS6mM5MiClLdSoRO5Q0z2nT6GvaJ3Z7qG5QzRgqTGhPklC+Dux8FPHNkQAQx0KlcCcl7wzt9DjweYO1reH9u9VjmJs76uSCvPCntvO4xYp+PR7vwFYszX9zaefXizl5ibe93f+W/v6xVfwse/5y/aavu8fAwAe+t6/DFy2lWx86MP4NbbHbbx5B18X2987Rx38sZ/5YcREGJVlAXfPxqMjSKl8+9frLr476UEEqkutSSfag5bec39PukjYYpgf20pY0g+gqUtoakDY+zRrWg+VHwug50iR+V4dSXRbkrgLAUPzeLcu0CFCtE+dqEUASURQmBkEbCUqjwrkrMPNCYlHFcDwe8NhB2bf3vOgaDAicsdNRutEAoFrU5YBjony0ADWOClNsqosjVjYxEbD9xQYoCaio+KzGLUtWtpdM83Q5fIoIbBsNV64YyH2ZwN7rO4rN9HetYTPH/ngB/F9rOw+/p2/F7uOeJoDMcIoxoWLdtDGs888g1s3LSrMtqWeYm1SCARhaPWXKDwVhGhbN7lMeTLlB9PiiwW6K0wQs12mmRAp2Q+hqStNXaHDNZ9WrbdNx9ogCl3Vm20+icImJ8keTA1a2rTjukRM29TzbVoNIh5jftyAPLWoRhUKd495/8MyRJffP39+DeUd29IVFi3GhZuqRVLqWHhi86FQ3saGgUSPrdcxkbS6BYLQIRc1Ir7WECAowpPOh7pFyxZbM82Q8iBDFXgkT72/j4M+ka6spg9khBkRGJ9+8SX8giNFh8HTRL/e4oCSg/pLDcI47bZFDzelLKO7BBaTqc1rPy/U4u9BiGTTItqqqUOQR5hxrVTbgOAIzCqzsE3GQIUOKUhdShW2W7uGh5Mchrq0X5dIHZKQQKGjskVKXarGDfgTyI4KZLz/Df2cLkMoImHPbHWR37N+TuTLtom6FC10aU0otNTROA7RpR0fuK7OIEDBGCorWzS01wYCtZvYQ9uUwOAVTjC+cP4RJHxuq6pCS8Tz9PgIgrYnJVLpTb/vu4DzNj76n//5P8OvElXW6cZ4mAN7Xji0sdIrKD0axxjjhyfxbHFaUtc17t3dg9YGXfrcbJ6jaZzVreHjcGcjBXxbnNUnvg67SHaI8D0m0f8ghIgdcrVEhy1i88ZAOdsiNAL6JNexECYKW9rqwOHUeH06KAt0XTcDb9NhUaNDzod22nhwpTjIMaeNaDiJD8Uibtre6qKiPkVFg9vUJ50tbJMgemwdCiXhx6UxGNLWnWUHSSJDBE53G40LLr6JEtwhkqsprZ9SvQ5KIiknh8fo8L5f/sAHsP+ZT9vPqBCaa3GJk0TrykAygPzEJz+Onyaypmk13r1hkYOvsEtjr84h+WCZ++2RrnF6YhgTOZ1d3preP+TgQUKlUDHis3bvYIjcSzZCSPYVVkWBPvde06pF4NqUJRDyng/pC6I0wBlOj90bGXAbhv2y8FOae0QrH1YtOs7HjBZ7uuyoQMb9ZM17b4qFbdre6iIj2Xy3aHCHz7fmni4IDBLGqhsiQMlHppXSx3nb/P2y0P46s7JFl3QUBsIPT8vZJRJWDfpDe2293fPYPW/jm7TXR8Cpi8nhMYZDu5bn/sB32fP6zLOQpCL51WvX8On1da5/jbdFFt18izQKk/kcFVG+nU7XT76VPCcAyFetiyt5A2SF6FrJSlaykpWsZCUrWclKVrKSlaxkJStZyVeEfJkiuh4kS8SXno3ZVZLU0usAPt0uJL5hy1Z5HiURt6gEQiIWorpBSD6UxGjUrCbMhfFIl8GQqIu2xRp7rTt546t+lQBKVvK67OufK0BIkueWDTaHNhPeXQvQ5fjoEG5EdYWLRCxI3eKGwymMKjShI0tmRj8rUTJjP85rBCQB3ujFCJjRL8iF8MXxDOdZ/DMJIMmnUKgajubh1jOfAwCkhYEqiSgAcJZ8NurOHq7v2BHHW1cfwZkeq3K/8hv22gPlq/bXj4+wQ8RQIAMMOiSKJdKiIxekx3GconRVV2OwTi6d+ZzspK+jBGGAne0dTKcz5Kx0GQGYE0iJ+1ETS+/JCCBKBG2L30MyyCfINWOE8KPPO5Xw9yHUjSfZzaVB6Kh0WPWptMaQ1el5VqOg/lZCoNQn9WmsgDHLkVVjcPmMXS8tJPrUp5p/z7MCl/sLfbrJKp04nqF1Y9xZKSrmJTI3gGFegtOz0YlCaF5/1djPfvrmbTxxZO9P78IZbFx8GACwv3cPGvY8h+vbAIDzlx4BHnrktTdDAiDKBp9/Dl/99rfb6zuwFa/Rr37UE4Lee+45PH7ecpt87KUXcfO6Rdl8/NiOy1ZB6rkz7ic4nU2n0Ccq36chD0J0LfF1mQdU3oUb4Q2gmONbSHr++BFHXM+AkETZkQakcLrU+mcnlwYBf2N93VbsamOwMbB2SuWN16VSCOSswAcR0W+qRcuKZtG2SMhtoyONC0OL4hCs0uV5iQsDez8C0+ImbYgeFWhY3fRImnnpecRGRW25kgCspbEnTT4mx9G1SuORzK6P6CmAOmiU8kVlFvvRz1rERGYowBO/PhYkuNG1drUDgX6c8jVJ96dTYMNez/7BHG9/2FbSf/7XP4bf99RjAIBDcp1811vegu/7R1a/vvjFL+KNEiEElAogIBA6aLFQC0QXgNeicAQ8gciyDlYZvuWMff4eJeGtLCQC2qa0FghZOU51C8n7kwkD5SgI6YcarbFG25RlDfITtoloMZJmTwMBT41TaWyt23uSDCR6zjbx+0VeYpP2U1c17rS82Uu2KWA1vpiXKFiNb+clIj4L3ShE5rh9eC73jMT5iRsqE3jOKBEoTxSd0N53sxYxh3lIkFYIwMNRioPK+q9CSjRc7zMDq0NzJdAhCW9+7yYeIvH/F6YFekSpHeQcqy7kEhLQnD6Q64Q8CNUF2KuVJ9/CEmJRxAA5WGA0vn3bXtNTvKY2h0d/qrJGGLi4qYWiDZgYjS7RK8Ihr4zG+sDpUo2cvq2GQc3773RpEhhMeJ9nZYvtoY03kqFCj+jdmnFTnlW4MPCwUNwlf5SZzaB5ngHjpmxeoqTOVLMSqSMth8AadfTOxN77m4XGOSKv4l6IgqhBFQaez3DAa1zPW6x1rH7EaYqE8c9DcYprI+srO3f30Du0fDyaQ3zaLzyP0bFFDO0VGa6Q4+mzBzVSR1zOSyuLFgmvJy+XMKwnXd7rLm3b4PjoAHVjPCckIBZ8dEYvxeEOKb98UgE8X1db4VvP2u89OeUgqAIwjMNTI6DInyqb1sdNc7ToOSQn9cnAYHONMXnRYE4kbCuBKe1mh9xVUwXMiLaqaoOHztpY1qgAg4S8SdT/2SzH5TXa4LrGLSLyMC1hOIwjiO15zaaFH1yVTwt0qZNX1rtIvQ+0/94KAjxxaOPOwVYXr5JD8tF3vQ87tLcPX3kCAPDyb34a608+CQAoj2d41zu/CgBw9OFfxkvHNkbarFtcuGDROQkJ/ke3XvXzuG7euYU389o+W0bocH+z5/gehXgwt5vR99mt11scb6GD1S2juO7nFeT5eHslsNjKSnzLtr2+tzd2XdtcQ7k9VK2huPcKmsaj6SbQ/rmV7KRodIuNAUnT55XnNq0A1Iyb3JCYsdKY8AxmRYOdDbu/6QwVek6XqMPZPMfFIfkny8oPdsK0BDhAxT1S2byyw1YAlNMCPV7yeidCSsc84p5uT0s8TO6vdC3CjMOKukmEqnD22F7jMNeIyb9bxUDC4SnJ3nVsf/M32msua9Tk1y0++GEAwKs3ruNwaq/02vgQXe6ZBp0+UvqHvdz+XaoAhvoyn808UjCMwqX91UpWcvpyaokuIcQ/AfB7AewZY978gL8LAH8XwHfAUtf+CWPMp/6dftyTAN+fgABs4Nje976G75mQApIbtitnBngbW68yBmZRGiMm6fZ2pWEIzTcbkYexrytAsZ0mbwi1TiLE3GzWgYDz10kUQtNxHNPhpSJAwPaKBEDJjVovlSg5xTCgM98MJCYMskZ1BRHbYxihkDA4c60aR0p6qs9uoFCP7e/e62ofc1zjhMegNWhIXIhA+klrOi/R2bAJhGMSSUf5DFsjEmLeuYMJIdNaSgxdi8bPfRglCXpLGsf9WODznMT2A1mLz9LwPhUofN2a3fD8HD3www9dxm1HYn946K9fh6dPW2iExObmBl7NHFmwwYLoUt3XZoaTbWlhB5ItQU883sVXHdvAfyzt2sdpgjUSJffmJRq2Bcr1GEq4Vi7jYdMZg+hOGvmYolYC5MpFEoZo+QevTzKE5HoFskXBde6lIQrqk6KT2QgEjkf2OsdtjSChPqnAw7iJ9kclBCo63hQC+YHVw1lHYYfJznTbknxfThI8/ehTAICymePGXdvqKvpbMAc2qP/sb1lC7xc+8qt43zst0fej3/ANwNvfZg/4rz8IvPurAQD3fujHMObwAsWWg+fnIzzOZ/uf3N7HL+1bh/p0L8TDrb2mf3njuj0uah/EnBRxigTiAlJKTsJzx1hKXgFLZKsuy2xODDYQA5uMuPrQBt5GQtJD9moEnQjbTIqreyNo6tKsGyHm/U+EwSaTF44cuxYSb1q3m6Xr5QRTp0tJhIK9W06X1iB8mkRJgaay57kWB7jFJOTldfucd4TBmBPTdF1BRPY6hVDoMKHbkQvbNOcl9yAR8j8OU4OWz9UB472+AQRzHG1tIF2rmTbQ1AXFzV1RGWzxt0QYIWZmwhiDNdqpS088iS5tkuDUxVFb4jPPWVL5H0UCoWzAuisqXOCafPCTnwYAPPfCi7h7x+pz09Qn9GcxXOI+4uXXRQwTsgYVz0mg9UGikNHSR50+LW92JdCzydJHLq3jHUxKeF/XCTHoWr3oZRVqDjIR6wmY68a2ABL+R85z6IWxH45RKgFy3iIOA38vx9SnRCxsUxQBFVtZ0yhAPrb6HbK1fyMQOBqTWFsab5tqIRE4EmdnmyBwyMvsVxqdQ7aCuSwFgCO2kkVNC8UWk7YxPvGiNSCYyJDs5606GhvUJxNGiKhP+22LkO0qZ8MYl7iJPOb02Lwp8Dn6wu9rUnxmajeeT0iJr+vbz/7azBVqDE5MWnyjxBicHJSx1CokFF4TT4lgcZ5CQLBl5U1XN/HVpfUrc+a+2kT5YTLbdYuGiUW5HiOm7zkjDWLqUslqWhxGfrBEpYCCbS/dWKGmLk15vrFQPm4KjUFDgmkRC+S0lYr2ZjOUGE3o5+oSAeOmykhIp0u82lIIHPOaO1ULkHZgnkg/FCej/oiqQcI2sPW0g0nBzXSr0dI2Raldh0cGEfpzDhW6ew/tLVvUk0GMdba8nrtwCUdMyIZftMN/fvkTH8MXSqtL/2DW4NkDS6Pw/t0z+PrQbpA/Mh0BsHaudP23y0nMU57eKaVCr9fD8fHEt0WdKDIv65Nwdmo5OSGB3g4A4PGra3h7djIODzsxNgbW19XzCiUHTwTDk/rk2pCdH1sLY2g3bVwCDQtxnUj5iG7mbZNaFL11g5qxl06AjDGSZOy3pYCjI/ush4MKUcrCEqQvhis3+RPAdcb0lwKJO7fs966lOc4wcaKMXZO0bqCE1Zdu0sFD73wfAGCwcxZPv9smHA5evgYAWF8/i/7c/u7t6iYm1KewqvEuThjuqgDd25aY3j0/ZRzgl1+wBZr/cVLik3P7rLzn/Dl8K2lG/s2xo+pYDOaIkg4qTxvyBiXkHxibLb+3ACks4iYF0B4/9NA23lnaZ/Iw4PTdIMKZ1MbgO7MKGSfCRhsxYh6vu2SbCsZNwzj1ydlSCbTUpW6ifAHE+bmOCCFomyIALW1THRocM5HpJqdvhYsYHJ0SEf1cAYmQyTThfLwQuEvF3WgM1LE993lPIWS/ddMwOVbVmHHgWadnEDA2mVUtavqumAWjrAbOX7ZJ073bdxE/dAUAsFm1aCfcM9y+hw6pZfZgE7BHo328TEDDP5jk+NjtVwEAT/b7+JY1myj+dQ5lEFJibWD3CfPZzE+IBgTMiULvSlZyunKarYs/AODbfoe/fzuAR/m/PwPgfzrFc1nJSlaykpWsZCUrWclKVrKSlaxkJStZyVe4nBqiyxjzK0KIK7/DR74LwA8Zi5P9TSHEUAixa4y582/98RNoLtz3GgsEznI7R2RRCFDSI2W+XWcQhDO7THfUSaCIzIp6IQ5YbsyK2rcpNmWNkNn5mi19SSSwz0rAyBgY/p7UBn3HB0ykTdMBpGILklIIXcuDMRBEoazxd2Uv9ZDaozJDQ+h+DAHF3520hNEGEscsNTRKIl6z5zDXLTpEoD0ysL81njbosuKdt0C9VLmd7Fv0wsVd286jrlzE+TWiAK7fxLVnnrPn+PhVXGHlYdzrYjQisTmrEhttiP98j1VsXXrYc3v2MfzVTznwnj3HZz73mRMtEw1/IwIw5vjq0xABgVBJHLA9zsp9+V9ffVh63+lTEMAx2X7nJEPJqmBEUsi4m3pEQ9qLsE+dzIoKa9Snuqw9SatrpUEscMR2i6kxaHn/lAE6JOQWY3vfRV/AdIi8iiLEbPXIoAEi9brUPbPZx5CM3aM6B4tUiIyA5GVWcESYEu50emmIwZatJt8qK08yWd+0lcKdR9+GKLVVtVh1sMmqapCm0Fy3e89+HgBwnE0w5BADnD0LfNq2yOKpNwEcwX7mrU9hmhNRSFLwhw728Kb/7p8AALYHHdy5ZdFb2cU34ecIHFdEP7VNjbpeLkEu0J11VbyWaPV1EbNEcu9afqKTXWXLLUvAycq3SuGmX3xbm6HmM5DSlmwM+wssRifEMSuv8yXbVJY1ciLz3KE2BzGuT2xVcSLgIfZRbTCkLrVEYKAnULJHNVYBFKuUhQAkW0le2RsBAC6d20SH9vGoysCfQgSBPm3wmBVhqQQqVhhFICBijsbWGgmfj8t9+wP7ByUSIoYKLdA6fYeAYHuk5HNWhAKGdncritAS5j9tG1weWjSTGR3jgOjU4p51L/21NfwPa/bvX/zi88CerY4/fuYi/sIHf9beDiIH3vq2N2Po26dnfnS4bSM8vcqkEBJxkqCuG99qK6WEYl9D0zYPQC8DvuqtUoAV++8OFi0QzjZ1+n2PKk27EaZUmGleYm3DogzKsoYgC6/zdXVocECfMzMaDW1TYAx6Tp/GFpEi+gINEYahCqCcr4OB5n1f471UvQHO8LOTpoChXU2khPFtI7xeJTAlkmQYKQjX+200QvrvKwP7W0eHNVI+OGUroPl3CQFDfRKuPSSUJ/WJqMBJW+MskSlZliHnc+7uf6fbwR+6bpEUaOcemTAe7OBvEt26kKUWHQh4W2Fgv3dabR3LrdH+2K6trF60nS2jghxqUEUeQfGdIoNmD3HLexR2+p5suNuLsMdrmhUN1jZom4oKIAlzQ1LtKhI4YrviFICmvQmMxsDp0sjqkuwLlNSPKAh83FQCaLjefeqS6PWxQb08KufQS7pUM+YTRKPVYkmXUgXJVjToFtuuJY7XG+cGfVIVBCLEGtFbx3mJPr92hap4uynw2M2RXRMh0dD+TZsa5zgERO/vIyfi7yWimtIoxvc8/8rivnAty/4m/r+vWtSXIlF/XRdYzFVZRprKBYLitFoXj0dw1NKLA7kY6Uu0xzoUjowhaMc+IAo0RMSqxMVKHd/y3OmFmNDOzYra26Y8LyF4j1u2b1URULQubgK0G7JkjEcZt2zZkn2BmsisJIoQEd05b7VHNW/QLqDTAUHRmOrC+7qeUihL1x651NpGpNh2P0WW2F+7U1bYJvVASfRQP28AIg/z/RoXrti2+fVLV/DLP/KPAABf/yf+AgDg5bt38PJ//w8AAFEY4iZt+8WvfhfOPmbbG/PPfAb6jPVr4cwiyQahwn9xaOPw43wCkNIh2r2Cv/G5j/N+OPvZ+v1TVRYQfN+cNtXDa/Z0wEkbiftey4WdlIHv2PmusPSza9w96vY6qIhuS3shjmlv5vMKl7fts5fnJdzEp5q6VNYGJf3c1Bjo0A0sMX7YSrNkm2rGR3EQICLFRqk1Kvqb0CFQu11sdLinq3JnEtENFEoi6FtqYCMFch4rDCRCDq2qpcQmyebXGR/eKgus87ea2niqHRFISNDH8vezJPR9+YPzuzj+9Gfsip85ix2i18MkxnS9768JADaHXfyun/s5ALA+gGtcrT+Kv/6SjeOdzrRtiymRtk3bWAg1iIpfyUreQPkPydF1HsCrS/99k++9JtElhPgzsKivlazkf7cs61MURv+WT69kJV9aVrZpJa+nLOuT47RYyUr+fWRlm1byespKn1byeslKl1aykpW8UfJlQUZvjPmHAP4hAAjhhwAvf2Kpt1suf5EfFUBNsvl0AxcvWDROOj5cEBK5wk0oUY/sZ4O1DmKSbQ0EMGW1MBCAYNVXOjJLbbDTsyWfw6zypKhSCF8J6JIHJgoDzIm60JFAS76KTGu8jeSGnUu20rCfF7hOnqtYhQhdhWlUYd4LeWx7G+82LRxVzKCqPUFvIgUqVrMEq/ZRonHsUVwSLXkrQqUQs6J5/eYNAMDDu5dxg3Ntd9Y30Vmz6yePRrhLpEQ/K/w9qFJb8fyNskDEymVVFZCsQI2PDhaVIkc4vHw/hUDACkLb1Iii1zcZtaxPUkrzuWeeRdMYACzxYrl6ZbB4TJZA2sgIAAEAAElEQVQqTCS6lDsDXH3CVqzlS4ee9FOyTNMNBcpju0amE0GSb60LYEwSygCAZLUjoD5WRqCXks8hqzAn+WUvCBCygpP0qCtRhCn1Yq0boCZRatZqvJX61L1i79leXuBGZvU7URFCIhbEuEJGfRrxXo9gIIgOGcYKm0SNDZMQFdfiUNt7M5odQMb2t46mOR6/arm7nn35BgQr2SHJ1c/ICC998pMAgNmdu8Btyw/x0O96P/COt9oF/H/9F7j6Yz9l1+3v/48AgP85CbBNct+7L7+IIHDk2CX2D2x+PCWabTDYwO1bN5bu2+mgJL60bXKoiAYQHFHuWUKWXgsBh8CR61u4fNHqUjw69rSCsXAIK4GMtqkIJBre8wQGx+QHCqXwaDVJFMOsNrg4sLbpzt1jaNoAYRQqlj/XSJ6dhoFHtzTQyBv7u40xeBt5LtKrTpdK3KYuxTLwuoRRhX3q0pT2eKYU5nzWR2WDegEgRc3rd8Sl6SDAiAAzKQQMbZOA8PxKBe1uUNTY5+/26hrrtCupCn1Fc/3sWcSJrWjLfcsz9lsHB3h1vBhWoGibp7O5J+NNSCL77Oee9UTbC54JADAQtHmvFyXOsj4FQWCM1lBSwAHH2qZZ8nUL3VnYLAFnhER/iIuXbEVWzUcQtC3S8SApg/kROSG7MRSRBakBDki8lQSL4Rc0yRBSYcDhBXuzEgX9Vz9UcFM1hvSFaRxiSg6bIBAeCVpqg6c56GCwOwQA3Jrn+PyxrQBvdzue+8YcVyg5QOMuieIPWoGcJfvjokaP9zpUAo27RbxXcV9hTLCSFAKonW+Wnti6JGJE5TUO3LCPosHQP3sBSuN45yRaonDk1K7fJ+Yz728rtFAB4R9tTVTOspj7XruHAa+rvNY2LSNvAEAvYE0QeA0aR0iPGJTdDi5esXwr0ewQhmRpBNCiI4Ep712y0YMcW/+YGON1qRMIVNqhhe33pBR+KAHGGeZEPfTDwJPGr5GMvZNEmPKeGghk5LEyBngLdam3a89xLy9wnVxEkQwR8Z5jXKOlbbqTW108XNKlUVmj75CpSqBx/Eu8t+laiGMieIKywIUzls+0m0zRFSeR3+uTFgeuY6Ax2CQCJZbKDzNYVwob5Je6wwE8nx2NETJWqpsSQWCv7e7eHmLHKUefWhZzbzchhO9GaNvXn9v0pD5JS/gmlocYLCEEH8iGv/CLotPDI1fJNzk+9CFWQJRJL5SYHhHR3Ushyd2XGIP9uY2hOoFA1TqkK/ivxICDCW5PC+SM01WgPFrQ6VM3iTDh9we9CBmHBbTa4G2MvYYXrf28N8vwKvl8UxV7LqX2uIKhbbpBPt8beesR+rOmQYconItR4gdlnCGi+VZdYeOMPd/cCPzqj/xT+9l3vgtnz54BAHzoR34QAPBQbwOX/y9/FgAw/82PY+AQja/eRP/yFXtu/T7m1Id7mV2/j71yDZPjKe+ERBDZa3rlhS8izzPeG6dDi9slpfRDSZrXGdD1Gttk7rNNYtm3YUmFlvng7BqLpIuLD9vYcliN0TqeN5q2rgLGHJSUbvYhyaObGIM7RLr3owXSU9FPKhmgl9gf0aMMs2opBicacTiwfsDaJhc3AdPc6pI2Bm8n53N/0/57LytwbW7vTaIi7+eaUQVDxN/tzJ7LfgNktE1KwXP5xlJgxjitRx/WX4tQ29OBMkBBW5qIwMcvB9wbDHON5174rF2//gCPMF4XSQI1IHL5xi3f8VRS137j+S9ABfY6dN0iCu1z0kynPi7x3RJC+lgTxiAgqEDr9g0YBrWSlSzkP2Si6xaAi0v/fYHv/buLWK54LwdpavESAFTsYa4iifCnKmtk1CDFHRovx5e5BSBmEFGNMkhOUjzMcmzx53phgD2yg9d0zF0USDlpI4JERKdaa42IXvjIBUCNRuAmn+kSipvMdaFQst3qaGQdU25aN2cRMRoYBjJBL4Sh0a95DR0NpG5DZoSL59FoDXYpYo0TZ/oqQBaSdDeHN/IyNwjODu0xcusctj/1Eu4x2XZHCFxiQqiNQwhm1jJo5LxOR+r5F/fHSzvAAJobiDvzIz9pDcZtNg0EP6vCCAEdSVnkp4psEEIgiiK0bQkDl1ATC4i9KXEiaQEAyZZvMROdAH/+wAZh7UYXtwrr4CTJbzexyKXmxxlCTlXcn2fY4jr2I4WpI6+kPkUmx5DE49GhQMSsR2UMAq5T4dpj2xau6aScF4iYAFuTCjlh2MfUpwwtKl5PjAaGgYzohmgZ7ASEa2+oABE3NHULTF07LYA5devsrp1MV4cdfOajvwAAeNN7fjdiOtTyox/Cq90hAOAd73q/Pa9f/STS1F5b+cJLwCesw8Vf/y8XN+Zv/R288PM/DwAYPmad8I9sX8DbmdT4dFXg9qsvAwBujO5B8LmYz+zmZkZCTCvLATjue30asmyDlgh6zTI834326kEO7RqqjQR/rGK7wUYXr1KXWipQp22QccpXM9cIaZuO8wJDHqMTKExJhBvx3pblDFe3rW1KpfRJEw2BjEFWSXt1tm7R4VqOywohA70eJEo3MYqtpHPTesLbGC00j5cOYlS0TQPjWnVrDJQLhARK6rkSAg2DnkHs2rkDZBFtUwnUTAhLDWS0BYIQ/LcctxixxyUSAudiJhi6HUQDG9Af3byF8ZFtTXYtbn9xf7LU9qfRshBwOxv7WzQj0Th0i7q2xzWm9bbrtLXIGIO6rlCWBYSbeGf/YP99kP8LOp6YV3Rj/DlhdUgNO7hJfVK0TRvGQNIvzo4yRM42zXJsOpJeFWDOjbgjmm/nGc6es0TS4b5AyHuStxqKdvOIm7utViN09qqoEDIR3VUSmvftLltsJnXlk/hGtL7FUPUjNI5Amgk9WdToL+mTK+Q0xsBxY/sJxipAETFBUsIXlkTZonLk9dzJvXXc4pjnFUJgl4G8lmJhY9oG16hPO3xufv/tPdueDwDCoGWC+M60wuKZf8Ck1Td25CJ1ZynLvDyN2tsshoUqtLETAJVG+D+11rbGgwQ3OG3LUS10oLHG7FV1nCFhy9/BNMMGD90NFKbOfvH51ybH2XM2ca7MyLfSZo1G4NqfmRQI2hYRE125bhAzboogULFV/qaLm6BRuZYf2fr2INVb+LmY96OrjRt2BgPpdckI4JgDGgYs3qWNQc6CTp4J3L1pW57TMMCobzeA51h0eM/dAvsMGcLW4LyzTUp4kvu7VYGUhcorVIVvP5wBekECPhxyel6ZYcCNtaNDaOs+xuMxP2q8HbNySi2wy2LaJVVWi8SpCOH13b0nQ9sCC0D1EvxpQ8L3jR5uUp8UJ2Gu69bHOfODGdKu06c5Nrht6QYBxo5A3nXgzjKcPW8TRArCk8kX2vhJv2M3XbrVSBxh+zxHb82ubSSAkut4g2TcudGexiFG7eNw2Y/8pNnQtUEXNbYYg0lINEx6SWnQ8hlzbaydpIOY9riZa2jSf9z4+Q9hcslO4dx96l0AgDPRAGuPPAwA2Dw8xvyXfhUA0Du3C+zbtun26ADlTQ51YrHhL94boeSex94Tu2b38kXyoak5Pcu1T8MmUxs3gh0KNhl2mvbK3OfTnJ9b3qYu2Sj6GtVL8ZdSthCGHdzgXiVnK+maWdim7GCOlPfm3miGbf52JwgxuV+XpjPsXrIUGwEEJJwuaT8l/dhNcG01IupSXVRIaJtCACVt0zELATk0Gj40Gs3Cz3VCzLhHSh19SFVjk/patQIF9VIaA+V8Pp+ZzSTCHosK89wAtLVVViNn0W6L/uytW2dRP2rJ4w/v3MPolesAgAtf+7UY0Z50zmyhKbiul+xW/U9++FdxhWtyeHjkW/9fObyNKLa/XTFhDAFon3A3aFjkenCb6kpWcnryH7I34mcA/HFh5T0Axv9O/FwrWclKVrKSlaxkJStZyUpWspKVrGQlK1nJA+TUEF1CiB8F8PUAtoQQNwH8l2BvmDHm+wB8EMB3AHgRQAbgT/57HIX/LsGnT7yduJOBPGsh5u+8lKLas+0rVTdC4NoYuBR11aBgZr5XG096vNWNIXObvT5sWiSsZJKjFGkcYk7CbyUFNE+iF4Zop2wrYva/0sAOyQr32xY1v3dl0EUWLYgQAUBI48kVYaSHfObQSHmeE16vbhr0WLXSUsCwSm2URIeQV0dIbLREwDafWrR48i1vAQA89vQ7MB2PAADPfeEF++/RM3hrzlZCY5CzIpqWJQoeO5DC46FeYkVcGYnWV7Fbj0SIohBVtah+A0AUx1hft7Xfvb27MK5FSAgURCKcjghIKWG0AQRvpkwXiC7RXVSZPGzaQJ211duveSjG9LoddF+vxQiEGzVN1FvdeML3uNaQREVtdRMIIm8OWw3eHo/oSgOFPbZ/NFr7dqpISqiCa8rWtFpK7LLinEGg4d/PraWYh/Z8CpL/ysCABSK0Gn6dG2h0HBm1qzA1DbY79jqEWIxMjtMI60RsDDNb/Rm+9304oN784s/8NDqs4p49+xDedGDJLZ/5Nx+259XfwGMT+73NThfjy+ftCe3fA16xZLv6hS9iyKrnRz/zLADgM9MGZzaHAIB7d+/Awe2rMsOFC7aKe+0VR7UOLAyBfsB7p1mZXEJxLdsmsXxcVrnbGuEZi257ch3Q+/beHQYhtBtdzTYWqQ02Wdk+PpwDpf37RjeGYPXuuNXeXkiSq+6udTBmC3ZlDALe31RJhGwFc6iqVimcIRJmVsIzuu52YsyJAKXaQinjUWNGAy11aaY1Onx/xn/XlfDgESMFWmd3Q4kuFdIRyTdGIiBKqBUaoWuJblrEtJUZH4EXOhJvbeyzaIzxbRvdqkJLmMaw00FNAtSX+kSP3Bqj9WhSLKHuGlx95CH72ZesLhphFhB8iDe0GCmFwObWNo4OOSxDBEtk5UvtZr7qLSGHtpL/3qs91HvWNs06MQLqS0jd03XjCd/DWnsd2l7Sp6O2huPmdoi+XqK8PjXauA5BREohoHI0RCGWUmKbtqluGjS0f09t9zFni4nrYhh0AtTavWf869poxHwWxrz0gYK12bDmuaTuxJFCSqJnTf/XGuVRZ7XQvkG9bFpEnCtQUM9f7Ei8hfqktUHh/JM2KKkjF4MQx9SHl1qHzOghc3bZNIBxiByxhMDDa8Us0y68AfIasvsle+j8nOuZFgrhlrVN731sgPqOrUPOuxLOpka086ZuMOeNTGuNiAzK290EKOyzd9hqxIybnJ9bCwOMGR9pY/y5RWrh5xp+p1AS24ybiqZBTV17eL2LLDjp54RaoC5Ma9DwHlRaI+E9HblLbxp0eFwt4NsnN4IIQ/q/Ec/RQHkkfVnmiKnPs7kBiHS9vrYOALhybojL14mC1Bpz2v5ha9DSBu9I5WPF36RNDBCiMa6lDJgTWZrnGeazMZbFti3ymoXE2ppFsc5mczSvd7/ZySNj0Xb7ILS0Xtgkh0ZVIRTRNO97oot639qmIokgxEl9Qt0CXCPULWRBfeokANf8UFcepVUTOTLoLPTJGHj0rRICYPzeEqVeBgrbRLoUSqKib3lsq4c5Jz2N2EKWpkAUOF8nvG1qdIuYtqAgVLonDXZcHA6DeWFtQTcJkN5n8x5/+7tR3nnFHqs+gCCCMDQCwbFdH9cRUA4SwMXC/T7Eju0xKT//+QWg99IlbAysj/v8bRt3dcIO8IA4vCqIWL5f+PemaXw3hTEGxohFV8OpyLKtlDhpMMXS+wBkAMXr/KpH1jCb2LUS210EBW02Y3hdtyh5j+KmRUg/eLafej+3r0sfFxdEYA06MQ6O7XNojFnSJen3gprqWiiFMx3r54qqQUnb9OhWD3NpX+duy6MMAvpd3QrUxvm5Fl1xck8XG42EN1dJIKdtWu9GUA6xz2PNamCD53DcVrh9ZHWpKwV0bR3dPaKOPxlUeD/RceHaGkZEzY9u3sQgJ9JyNPYDP77ANu847OB4NPFrUhLxFUeRpyXo9KwNyrK5R55aZNcbjDZdyUoopzl18Y/8W/5uAPz5f88fp39dDiBdYmTBK7Ho8Q7wMBMT751PocjnELY1ejTkY2f8jzL0GPTspxLbxi5RkoZQbBXCtIAgHPncOoN4FSNnwHp5aw2/+eoBAKATBpCE3l/mxKB+moBodQyLxsP178oKql0YNQAIzCKBZKRBl5fZ7ca4RYfu2ofCQCLjkkR60ZXQUQKJ4WaZS3JYahjjINfAq5+3E/H+wF/5XmDTJg1+4Hv+EgDg0V6MKQPXtDZgnIDWGDfUD7kUGPH3fhl2fVsYwM2vMS2coaurBoKvXQLHtK0P6Hq9PmbkPrF/Pl24tNYacRyjrNy51ieDfk5Z8rZZtHjynL0r3zApILw+Neiy5dJNv5zvzSDoOMepwgb1JkkDBF0mkaaF58LaHdpjlUHseTiunlnHr1+3+iSFQMH2n0ucurLWSfz0qw0IRAwQ74jK8/FErntAC7/RgxIo6MC6UYScGbl+1x63ryQOZ1bHVGfN8zVsxwHys48CAPaZ3Np74WXc+OynAACDJAE4mS4aCdyiE/3pezZI/yNCYRoN7Zp86jMIyWfwie/+Q9h+/7sBADsvvoybBzYh/dHtcwCAiWnwcM9uvHQ98c+/khI3b1zjRS3zgZDbSUivZ6cufuO6xC+huZvGUvDmgv+4i0fO2JaJrzq6h5aBN6oKA9qFKdv0ju5OsMUHeJZI9LnJNmnoJyK20xySn+lSL3WU+rbiR3fW8ambNmkSCKCmTXuUG7q1TuqGD+FcGaDiZsnaJtfSwEvQQOJawpWAYa/QTi/FPgP2ac3pezDezhm9MN2xEEidbaJN3Jst7EMoBEK2h/V2ttDO7Vr+7D0b2H53L8WMXD2derEpqJsaxTU762QWSj+h8pdqJtWARUuNybHQG4nRMdtel7hvvCzbI7EUmJ+CGGNQlhU2t8/i8GBkDwmxdD5maTPpCN06ePSCfUa+tsjQUJ/CpkGH7RsTnvJkbwpD2zRPFDZdAiwNocgVkh3NoXmM8xtWT1XSRcyEw2OBwm9cs89ppCRq6tEFZ5vSxCe91kuJHrMPe6JGQN0JuIEMNBAY12MmUHAz0QlC7DMhO3N8bUJ4Xp6y0a57AxHwGl93kLVenyIhoByP2JltNNSnf3Fg7/l39BLMuJnsNIDSizY2p1u3TIsxbcvPNnad8rKApL6cZEcySwWSB4jw/2c/a1wC4RTExU0nDi4Wf/MxFBcuCPDwZXvP3zk+hmbCUtU1NuibMkd9tT/39mqcKmy4qYBpgIA2pp1kfuri7pq1TSLpIiKdwpvObeOjL1u+xlRJ6K7VoUvkhhwkKTSDj42i9Un2OyghmFd0SfxA26maAKBCiYKT9pIgwIFLllP3pVy0387qFjGvYxiHiFvX2mQ/uz9vEPO4a3HoW3XXds+gZqLrV9ie91ia4sKTQ3uM568hbF1hCv4YeSCxz7jpF8jr1uh9LMuCRwnY3rbJDdeuWFaVt0HGGEz4ftrtwXDDqk8q5OsrJ3i5Wiz8nljwgbgHMY7w5GM2OfH+bA5NG6KahT7NGbof7U/RMqFVdgJsMAo2nQABeYiOxxkE47RdJveDtOunJ7794g5++UWb7OlHIVJys+3QWPTiGHSh2FISMXXnls4hqKeO50k0BhHtVRgI5DMmwFSAm1MmPahDaRzgLqlN+lpjl7b0bBqhTW0SNGLi6ZlPfBJnLlyw565SiIAUImd2IA9HAID/5bOfAQC88IsfwhNrtmDfySo8MrYxcvfxR3FnbJMPG9kcM8ZkP/RFy1F6/eZ1LIAA7Un/4cOlZTuwMBL6VJXnAfKgpL/Ri4mwvg02wsNXbGH8XfORj5vKLENXuJjE3tzJwQyp4wrtKKxTl9pOgIAt1u0o89OML2+xxTjuIKEuPXV+x9umTqAg+idt03qSoKEL3igkEqdLbQ40Lnlv/66WErBhKDDhxOtBFGGPcZNrUYxD5d1H0RjE3BiK1qAkl+6ZPrma6xYFk3h1A3RZodo5v4M5eYI/eGT15D85u46CRWqTJNjk9Nj83h5G5A+7AIO9I2t7fmpIeoKqREGQQhRIn9yKotA/d1m2sFcuPJJSQjvODINFEvsN7txfyX+cshrrtJKVrGQlK1nJSlaykpWsZCUrWclKVrKSrwj5spi6+BoRDq3hTl/BQ3NlDLREULjC+9oGnuRHe4clmk1bTayFwJ0ZJyk6JFU3hvHIA4Mpqz86r6FZ3W2lwJor9bDyMy5KcBgF6jjAk2csfLMpW0i2eXXWbNY8qgwikg7O0gCHGStvUvg2xj4r4pXWkCyq1FrDOCJxZTz+2U3dqGAQsm0jURLGtQcZgwlbdyKerxQLIuK6qBEy5/n3/sL/FXjf1wAA3sEq2f50hsOpPcfLSQchidjDVvupY1O0uGLsdf7n0h7rx4Q5UU4UrFw6Ul8AEA7auoSMyObzEwMz/VShUxClFPqDPppGo9xnexDaBSpQdeB7wSpOv3zLGbw1YWXlVga9ZW98I4CbbOkJ3KTBXgztWrJagzmLnG1WedLkVkgMPBuu/d3pvELOColOQ7zt3Jr9jaKBoD51B/a4YQ2sE/rfBgpHhT1PbRb6FCX2O4U2Xp+qViNwxKNCYE4Ycp9Vqts1sLFmj3s4n+Gp3/W19hjjI2iWmS4//DgA4Oatm3jkyhUAwPxohn7PnvtkPMOvHNrK43c8+hCvMUQwsJXpx/7YH8XRZywZ/ejmLYQDW/Esel28ibDy/9vutl3Tb3kXmsJWm44P9/DKi5+ztygIMBxacuxrr1iC+uWqpNWlN6JlEbRNzeJ4JxBACr62QJLneHcTF0gUuzku0W7RNgG4R8Sma+NT/QS3HQKn1n7CHfIKhUOeKIVO4DB79nvzvIJ27Y99hXddHNrTqQ20sxeDhW2KaZtEEmCPU4k0hEcmxvxO2WgI12pmgC6fEyEEcpLYRlyHwgBd6q0Uwj8TQgNjThQNWF6X0vhpbnVeQ/A6snGGDx2NAACPs0peTAqMp/Yc0yT1eIJEhRC7FpkqAok3P2wHGrz5jq3w//CrNwEe1yK37AHPnz+PkmSqjjBaAzCu1+RES8VS29mpqJWAVAo3b1xbGrS4hJoQ4QJ9w/urzvTwZIdohJs5sGPvawmNG5z46iYN7vRTVCSa18ZgRl/XZKVvLQtChSF9naB9H00LTNlaP0gjPO1tUw1Fv9WlrwtKjSFPcSQFKhIhayFQEqUVUi9KbSB43LJdtKy2AHKep9PswhgMOCghNUBDNK4w8L4ubBck0Eo7X9d4UuHJaI5fnljb9ChRstk4w/GM0yeT1N/pSAiP8s0F8BiR3u8i1cCPGb2EGl1GTSzLl3hveeLYa1oLX0dxCMQTbdVOr5dsk5tAuTXA40SYJKMCctv6m1IIvDqhbaKf2+rHmPH7rTaYR7x3eY2CbWWtlNhg7KCow9NZiRntSicO8A7apqZovC71qEthZRCzdaqNFUb0c0YJGKJ/In6n1AbOweZl6yPFFkBJXSIHOOYGvn16Kw7QEkGblw0mdJaCY2KVEj4OrMsWXUKlJ0dTfIQtPbv0n8/frtCNLOrkqVBBEXWSlpVHxU+FwZOE0P4PgT3u92GBrpNSLmIjY7C3Z0nHu2wPquvmROykXUxX14iTlK9ff+qHMAyxvXUG9+7ehXE2CAZ+wqiIsEAI2uvuPbSOx/qcGH0th/K2qcX1sT3HkPq0PUhQSNeWaDBdipty53OkxJqbQkl9ms0r1Dyf9U6Mr+E0vvm8QusGJzBuCkqNdSpGpSRGJQcsCAnNdts+uzCKRntkTV401h4AMEKgJFIl4XvHTYs+bdOwE6LvaEqmJZqc6NfAom43zu6gdVNyK+0RttlRhn9+w372seMRAODr/tD/EY+/9X32JHZ38Pyf+x4AwCNS4MwNi976xN2b2N21CPi/xj3IP362gnvOhZQwHDwFIRYdgYyxzf026gTS67ThNyfRZItzUIv3iVyWvR4ej2g3DmrUO0S0S4EvcKpiSkTTVj9BzlPXLTDjg6+zCjM3xVVJrHNap4/BpyUmzs91YnzVJRubtkWDwCGWuUdShUbK7pU6kjgu3LAOiZYt2DG/k7UakjYky1uEchFnuLjJIZRzA2wzlu7FAWraJmHgJ9+OKnu+g7PbAGP4V+7cgBs/fO3WMZ7lwLKzfAbyJMXut32b/f4LLyE1Ni7am00wObDdI59qa1wYDAEA/4e51cUfCIWnvJFKIk76vEl6MbjAd1QJCKLkwjBGSYSpkGJBTbOSlbwBskJ0rWQlK1nJSlaykpWsZCUrWclKVrKSlazkK0K+PBFdPvPviBEVfJW7LRZVbkmS4ukEqrIZ/7CfoCDvkO4LT0bpSG5FIJEzw95rtJ81K0KJorHH6zcGFXlh4g27hBudAA5IIbRBwCpOr9vBjNWUOZFbrTSe0HRWad+v3GqNhNVtN+o2kgKVq65DIAldr3Tt6ysBK/Sl0L6IFiugJsKihUGXlTJXSaxnra+CBgASJuFHL93BvZd/HACwddaSIdTdCNN7tkJRG+B2Ya9jV4We20Jo40fmOlLqP7u1hX+wd9P+sGkh+Nk4jtCyClZVbuSsxmw2hRdXMTMGJ/gFXncRCFSAKAowT+012qKI06cGfvY4R/OWz+dI+6z0rHcxmtoKku4rbJNvZOrISJWE61hPG+0RC0JJVNWCvLdib33i9CmRCEJyiLQaivq02e1gxqp2ltkqqJYGglXkvKr9cmmz0KcZjyWxQM8ZDaSO0LKs0GEZqWDFexADUWIrVpfW+jg+toi3J971HoD6v3/bEhRv7FzAs7/xWwCAm1/8It5z7hIAYO3uGO9nhacc2qrRPEjQ7Ni/HxwcIn7EjtG+sr2DPaJpkt1dlORh0s9Y/rhHR1P8vZHVveef+xy2yBmU5xn29xyviZ/cgEV1UC+9fiOqklgibVUn3xNLdgpAeecQ0SbRn0kAEBHY9iQ2iX7IHGVOGKCkKq6XBjl1SQYShrapUxvU5ERT1NtL64kfhz4rWyhyw/W7obUZABrez0y0GJOMaJTVvqCrYeAmJjjbpCCQkj9LYYHoqsrKc3u4VZChQsEK4zCQqB0JIQR6/A3H1VTPWphiyTbRph3fPcCbiDbbIKKh6irM7tjPagPco13ZVgG2+Dre2cbdL1pi+ZrV7L/8xCP4O89+BvdL2zaYTS3CruX6hmGAxCMoKm+76rrC6XJ0adRVeR9vilxS5WqJZ4xo43tTxDv2A8kgwdzrk8AWK9Yzp4JSoCIqMK1bT+6uAoWWaMpeqf3gkIDolV6kEJJUOTEGMRE36UaInNNZxuS+qkULSbTUpKqQKof60VDUpxnRWFIIfw5GL3gq66ryPoXALKhIoeD3+kp61K0Rwvs6R9Zbzxs/aj0QArHXp0M8SqTe+nmLsChThTl56bQ22Odxt2TguQ9TA8/FeET02J/Z2sA/3L/NG7OMSljSj2WY8jLPm0dNiAcCGl5fWUKQnTjNBYem+7fdywALpkUyiJHNOICgL7Dj/Jw7dalQc707rYYhiksFEjXXc60yKKlLySbReIlC7NBfjUZIhE4/TVGTd3JKP1cIbSGgAGaN8chwbQwkdckRyQssUAPGCCh+tqlrNB69YiWKFWZE8AxC5V1IHIcekdoysMpmLUTpkEpAy6kY5eEenuRntocW+VH3Ixwd2JimiBK8xN99y9oACZGEoTbweCvalb+2dQZ/a9/yC/YHfY+aOzw89LoyX46VHiB1XaOu6t/xM//7xSBOYj/gyNpL5+sKgKhHtPY8Zi8cIhlaji7RjVGzS6DpLfRp7tD+SqEliisoFwTqKlRoSEw/qA0KotUGW1afOpFAShRenpXehnQGHVTUnQn1KRQtXNBe1NqvbaM1FGOhKe2GBNBQpwUkAufrqhoTsoxLnnuUhJgxtu4HNfa5JOfXOnAPnRH0Teka7rxk0Vj94RDb2q7Dneeu4wK5It9yxnJ4vfiLP42rm5cBAPVHPoKbjMM3nn8Bkv777NUnvY1NQvtbf/2tT+Pv37SDpUajIzTaITcX9+uEF3ugDXojEF1f4nhGL/k8+56eZzAZuxEShYa2qewBOyk5gonSDKIABMohqFtIZ/8CBVEyjq80ZpVdz8E2kaSJhAN5NVXtidn7aYpKWL0YM/YPhfaDXebNki4ZDRmc1CUBR85udSl0+7eq9gMNPEdzpDDJbDwntUbEmE5LiXV3Pozxb9++g8MDez5NUWGdPLDZzUM8ybWstuwFvfT8M/iksj5v2O3iya95PwDg43/770K0bkARUHHPVk4sWvV73/Jm/K3f/pg9H2Fw/tyuPfatm9g+YxH0GTm+pBR+WluZl/C6rw26XXvs6X3DNVayktOQL89ElydQdIawBgQtEhTAzRBoYBAmWKfhOZ/EcHPZpnWLPU6h0AyUep3I/3w8rz1ZZSPh4aqfOc6xQUgz2NrzyFYfmq0NkQBSwl/35xNIbtoyOs/aOKJ2IIoD1EzgRBBQNIAO2TkpF6S9ohMhZ1BRG+A8yWFfpeNOIRAx4THJG3RoFCMl3aAa69ABJNMGswHbXYIIbkCPGGV4dNe2ooxIEt65N/dTS46bGhNuqsNIYIcbrbUg8kbaTQx5tdUAIdqoRx7yn+e5n+bixRjfBhmEIerabZG/BJz5dRLdtphMJuh2uygKl5JSSxtYbfuuACDhFE+l0OeOaytQEAwoZrXGAadttU4X4gAB73UwqxwvJaQSXp++UJQYsrVQcGN6dbuPlhDhyBik1IG96QiKpN95sNAnF4SlaegnTIVGQLkJOry/WVX7CWWbvRStu06lsEPvOuK5i6aGLG1AnSdbMJyU+Nwnfgtnrlgy+rs3bSLz0u6jePytTwEAesM+brNd4Ym4j8uKrUDf8QftofZHCGObhD7/5/8c0CO7bFbj8gd/zr784X+OO+ct8WrGZNqnhMT73/8uAMDnP/dbgLAb7LqukeeO8H05GPOGAm+cLG1i3Tk4Ul4o3/7kWhchQ0/Eu9tVKJikmtYa9zSTwLwvRi0GU4RNgIptIkICAVslXqxKDF2LIAcNXFUSmragG8CTtd6bjZHQHsyoS1VZw/Ac1/uxb/PpSQnhyJRp2xqtccDzPdNPPXF9aQTOkQj/xpytvK1Bh6TU06xGwgRLFChPvNpQL8NJjZIEqzKMMWf7gJQzXD2/CQCYEKLfu5uh4u0d1zXmTGSFQuIs226TFshoUMWW/f6d/fHCZ5jGt/NprVG4qUM+YSLR8vkqisJvPN+IuN/uRZYOdEK95CKh6jaVBljjhms7ihCYRavrXefreK0qDtDl34PGoBFunSVU6qYtFdjgMBVwM3FxvetbEmZFgTVl7/UXDvbQp42fUc1DA7TcZXQ7gU96BGZB9J4721RWKPnZjV7sCzxZCz9V9hZ9XWCAhBOmxrPSE+9afbK/V7spdpMK7RqJ1MPYD3dQEnjkvG0tG9PXrd/L4eYljpoGM/q6IBTYcoUaCNxigitjEv9GKwBFO9ZO8OBk1wOSXsYAy77wtHVK+P87eTAhFkMzvL0yWHetZKHEMc95WmrstXaVXNzU78WLARKzCqWbBCgBxUTn57M51vnaMG46t9ZFyCKONtpTK9zNxggZtNRslVZm0U4cxgqldlMKhS9Iujgnr2pUTKyvdWLbyghg3hicYVLlBltUYyPR5zTAyazAmb71TWkU4ojKNOJks2BaA9QlEcSY8BidscRjl6xtyVkI6N4rMKPtOky7CHdse/0rUuLpmd2QBsZzVfuJsTfaBq7QNp/NkdKWxkmC8t9xArUxwtsvtOXv/OF/D6nrGvfu3YMKgkXL7nJbrNGA9mPm7L+6Rcp7dqmb4MAxjNQt7jLhbPgsyDhAly2dQVMi498VBALaphfywk/F3BvbH7uy2UPpWn/bFh3+3u3xCCHtgSsWhQa+dtrpBqjdcCYsJgQXvH95VaOhnxp0E58Mn1QaT2za5N1zpGgIKo3todWhaVZhyKEK3TDAEQdlTEkp0Vy7g3jNfvb28TFKZlYe3Rhi8zEb/8jJyC7jjRF+7v/+VwEAT33rtyK9YouFt7IcV45tbNavasx5D2omlW9JhRnHo0sp0O3auGk+ny+ZpuXk95Lt8r5H4DSLOvYQy85t+bVZ8nOOMkajz3t7sdfFmPGAKVvco20yjCe20i7c7jCalZi71mypEFJ/vnCYY52v950ubfV9G6wwDTp8fWt85HWpYNwkNHwyPU6CBTjBLIo33jaVCxqcXhr7ASvzWuMCn/WXJtY+dAIgJU3DcVbhLIuf3TD0gxsmpCS4dfMYNfcR0bCPOxzm8lgUYrZhf/eYSVl1WOKjP/+LAID3vPtdeIlDnq5+0zfihQ/+rL0OIXFMYnnD+PFAG2xs2eRWHLZ469veZq+tqhAwaexstNHax5JSKn/NwEnC+pWs5LRl1bq4kpWsZCUrWclKVrKSlaxkJStZyUpWspKvCPnyRHQJgDNK7X8bwPfsyci3LKJh9Svt4AcPbZb5ghwjJEphNgg93HjISiPKFmmfLUMCyAmFV9qgy0rRuV6CjoPCs+3m1rzGxbUFQeWc1fGwMQhDh5Ah8a+QaFxrT9vAFcx1q337nxt9jSXYvahb3woUxyFmfO2ylWEcostKYBECEzdqVhrfYrixR7SCAcCqUtiLIRxiYaPjR3gbQn+HUYhNEmZOqwaXiGDaVqEnBlVthZbX7OrBH5tOfYsWhELE3+t0uhgdO+J3ihCeCHOB5lr8zZ4QXndptcZ8PkdZVb610hJPl4tjOtb4jOfVEfj7R/az/+8yh+T5zgeB/411VmbCxtiyDIC8LzBni4QyBl2iws52I3TY9tGwCntzVuJ8z36vEQIT3mTZAombU0zdbIXw59hkNSLXMdAa1FzTeb2AIyeB/UBd1mhYqVnrhpi3jgGc5OBRgCHPKz+6h2pgK9LzeYnqrh21/NjWw/Z3yxaa6J317bM4+rQlmH9GSsg+kVcf/SUAwMV4HRFRQb/9X/1NvP0DHwAAzH72Q9Akkx+HAZqbtwAAh7zeX3z+Ou584uMAgMuXLuDmzev2PINFe2DEiqjWGk3jqoBvNPHlfQgy49pzE/+WdMocB/jnlvsT34sZYlaK856Coi71aZuixsCwYjdPDLKSyC1t0GW1bDsNkfB7HSJeXhnneGTD3gMhgJkDuuqFLlWFw7FIjxrdHxXoO+BqUaNHqDyL3JAQ6BGZlRc1FF9rIbDHZ6LxlcsQfeqdiYxv7RjVBhF1vru3QOvkrEamcRctkWuzjS5atvNqQm37UYh1urF51WCXtunCcIgR21kf/8/+MDovXwMAvPzySwCADz33nIfVAwtSbaUkIiI319ZspT6KItwiclFKicaNyRbilBE4wv5PSF9ND4IATeNap9Si0t2yQioVvv+avZfnehVi7+sCKF7jGvUibQxaR7bcF8iIRJFao+dsUy/yo9JdVXdUttgmSrPVBi9xPHoKQNBeRJ7kfoGGq2Y1CDxE3Rpo2oAZq+OtEUjYEpQXDRRfayFw7AjAeelraYA+r0fHgR+rPmsW+hTv23NMhMTY6VPU8W1ok42u93WautuPQwyXfN250D57G0GIwt0Dbby93mQV++Pj0eIeGIMFEfcD0KQnCOFxEjVxmuLB0cuILvXaz2n6bNnBj1ruc1wIp5AkG573Ah83DWibZNkg6Fm9qvuWyN3+lsYa7/OZforYtfRQlya1RuDpC4CxM9V1iyiU/jVg733j2hVbDcl4QxsB4eMmxlVGIKYeFGUDyfslpMSx83NchiQKkNJmVlHoulxxWLa+rSg6sGuyEQSojfPVgSdgzrb6yNlJUNPvnA8kejzWTElc3beG/rwGXONh+9QTaEn+bOYWxfEL9+5BsM0uSbqYz61eRWG4FKMsXcMyKofrqyRw5oz11zdffQWvvwgYI9DUS4NXTiByAA+XcjGgivCDz9trubKpIdlaOe0F3v72iPpNG4OCvqnuxWhomxpj0Oeln+kniBx4i/o0Llv0pEOwGRw5fuxGQxF9o6hPUirULu6d1X62S6U1IqLpMx83CSTUhTyvIWmbkijAHhUm5A+sJQFS+ro2MrjDwQ2QASSnrGzCoo0vn7+IQ7bB3bm1h5K259buEKmwEX7Vtf5oW5Xoc8DKrU//Ni4z8t/a3UWwbpGpwe/+GmzftrEZiF7+0N/4m6gz2waZpKnvnFBKedOjHUE9zMkW6xNk9Kcs5ktQTCz7WYcSVBF+4iUir3YzBLxP+SDw+6UOaWnarEZChF3dB1oXN7faI5B3+wki2oiW925ctBjIBfLoiGZKNwaSuiArT86Awp1kW0PQNlV64Y8KxnaNASIinbKiRoe6FAUKI+qjG4gWRYH/bBUGyOjnirZCn/HY9RctxUesgTnjgbV+CMPP3h5EvtWyoY6f66WIqT8vf/YZtHdtrNQeHKB2XQdao3aILp7PL0wKZFN7vEoJfPYznwYAHO7f83QV2ri2zIU90Nr4Lh6t29cOPVjJSk5RVoiulaxkJStZyUpWspKVrGQlK1nJSlaykpV8RciXJ6LrBMk0yAHA6pFpFgS9JONDUQHGIhp+Kknx3aGtBMzqFhUz3Gf7tkc5HOW+mjM1BhHhVkoIGPI0dLXBmBWOHVY0m7b1Y4aHSYBx5hAJAcYjW9Gqeb5VVSMij46QQEHOJSkkMp8NX1R5XbUSSiFdGkXrSEBjx7kCgyOitCKxQJI1UFDM7h9u2eqQmtfI+Nk2rtDp2orHZioQsRJywCrQZBACtxbkp46gty+lJ2s1EBZZBPge+G9LQvxw5RjRNATVLc8LnCQNxwNeL7992tUkg26awpCRfzSeL/2pAVhlg3ScF60nwvzhXoQ/RDWb1S1KElKe4Xq2BzMkHA880wYx+UisPtn1T7XxleyzfXt/6qZG5ni3AonpvPavj2bkAaOuVLXGmaHilQAZCXIDoTDX7rkgZwqEr1I32viKZlm3nsfAkZkaA9xjNTISGvrYVgrzSYKWvADPnLV//+qn3oHP/6vPAACKNsPDj1gCVZ0kSImMaWDX5HjvCF/9Nd8EABhXJbA+BAD0tjeANctzM7hwCc++agl5A1Ybv7bT4gfuWS6KGzeOvRnwCBsAawNLGn5wePQlkFwPqBi+ruJgE8vHdqiJxvPf+JHwsxyiY//+08MU38mKpTHa3/+LvKbqYIqEfA15AyQckx0qCT3ncIzW+OEHV4d2LVvdYkZOoW4oMcns604gcTC233McfHWtETuOLyFQEnkVauCY9sLxBUsIX6VrjEFJNEU3jVDQVjqyemGAA+qtMC3CYGGbHLnzlLZJzCtUtJ+6yNHtWdu91ZHeNu3PLSJ0PIggb078yh/xOtaaGluXrA7WTY352OqN4TP8ga1N/OBdy/0Gs9CGvb19dFKrpxmRFG3bIgjtc9s09X326HQrk0YIiCXSYIeOsn9c8nVO2hKmtOv148MYf5Dw2mnVIiNJ85nuun3zeO5tU1YvbFMgJTT53SJtMCeCZbdj16Vqa68vSlhkKGCJx8cz+hTqf1HV/l6HgcBsvvB1OavPjuNHYkHo3GhjSX0BrKURRtTvDvVJa4Mj2kStW48mLIxESILhfNuuQzGvUBHRZZICPerTZqqQEEGyd8vq06QfwjhfZ4BD+rquCjxSuQUwJhLA8VF+e5Lih0uLwBBSwvxvQZGeImL55HHc/y0jyH4He1hmqCfW9/3MpSF+TzUCAMzqBgX93C75FeNZidTxuNQaSbzga2no5xJtQLeJs0SpVG0LTV0RxmBOG5OEwWt1qWz874pA+AEFQiivj8t8UQ7NLAUwZoy13g1xyGP0gsB/dkR7UzYNUnIqlUbA0JfGFywCZz6vYJwdjBqovvWamyJEt0vur1csDG4UCYTK6tpYSrxEu6KaFkLaeFOPxpD0X6JjP/sHe338g4lDCQUwmb2mc7u7uHXH2iw3DAmwQ0oAoJPEGJP7q9UGt2/fwumL+BImUOM1HJmmQVPap+inez18gM9LVtfIiGA7szO0nz3O0KevO2oMYtp9KQQ09Sk2GjnRJ7s9Z5taGOd7jcaMOpQEEqOZQw6SM6muscPujzCUyOmHpFQYO9vkhgcBnucNEDggimtdKW+beuEC2eb0qW1bCJ7jYa2xyZh9L7bXPt+/jfH+yH5Wt5g39v5VZQNJfZKB/Xd/I4VkaKrLCjeJml2bzSEYI9Q/+a+R/qW/YD90z8Zr//V3fDv+yq/8G64fMPNk4dIjA721WrZb4v7t4Wn6uvt5DJcxGHrpv3l+bQnd2vd+Rg7xgZ5dmFlVIxcOpWWfsU5Wo0u/ca9oEbHlQUmJxvs5jYLHuLxmv5dVNQx7aFptMM5cDBXgaMo4jedTlpXfK8pAepJlJRQmDkHmbZOAw5IbARxRl4ZpjCl1e0i0ljDAhDyBbdsCRGBrFWA85XNw1t77o8M5UvrM0TzHNrnjZFV6Hsh7d+2ebqxaXDh/DgDwrve/F7Eij+KP/jiiJcq9gH615rl/dVXhJ0u7fy60xmw242cXyE7h0cpioU9CQy8j4d/QwQYr+Y9dvkwTXR6DT2mwuJQlEszABg4IY6Qc3fU9vQQvk2ywlAaGm/q7ezbQfXLQQ83kwDCWmFZsQVQSKQlL5+MCVwacSEiDJlXrCVH3jksMSVy4Ny09OV9CssN+GGJKA5u1LaQzvMIg9ZBo+9lJ0fiNfFY3AA12KpUnqe6Q1FwIgURao3lYttDBwljOOOWly8AtqbQPOsNEoSCBo1JAxYlZ0Yt2TRoBP7VkoEI/+7BqjRvEhlFdohdZh3ybRvUn54vkWBLHuHjRbjz39w9QFjl+J1EkO1ZKoir/3QhY//3EQLc21B6PR/YtES9Iw3W7aOUIFq1nqfUh+N6061t3KmEgeP/2GbycT1O0dD6DSHpy2khKxF6fclyhU66YJAxU4yezHGUt1pi0PZ7kHvY74CZ1t6c8Ae64MYi4GTAKCAjHThX1qWxRMdgSSkKEzjkr5C5woj5VrQE5LHFcSiC1Oh+IEBlbetJjmwy4+dzzuHXXTlXcOLeGa0zorIcxXnnVBv5vu/JWAMDLz38Gvyp+DQDwHf/ZHwWcLnzLt+DOH/8/2/VrGzz6jV8PAPhFkmb+2L1jGKbjjJ7BOUtjFDY2twAAcWID135/gCnJ8/83bTpfF1l24nopYBQA768fmAGDzsCe+5/rCbzI9TwSrW8De/WuhYpfTBM/maujgLJlogsCEXWpmlW4wI28b0pSNW4x2R4bgSsko907yOHyJh3q0iAGpnOrz3PdeH3WEhhGDmJPXcwb3+YopQCoN1IIhEyWJW6wgZCI2NJzXEqIJdvk2rw73BwklUHpbFMaoGgYjAYG1cyuT+cFuybLtmkYRN4eN7MczYG1Xzc+8wyqG7b18DZJzX9078CTJA8HA1y+fBkA8Mq1a749qCJBeSIXE9ykkB6ab+V0AzYB147EgkJbATL2f10Eko4gX6O/ZZ+Bv7Ae4vrI+sJCaH9dd/dtsHupk/rpeMNIYcp9YCQlEhJyl5MCF6lPrXbTLStfnGkrjQ41bTQufNKmy8meW50EJQP5g3xROIqVcIMSIXnueb1IlkLYIhFgSyQukRUzUSmlhKY+HRUCIfUpNPA6mbpiU21Qu0l6S/oUSI2KCYX4JatPrRB+mMeaDL1uNU2LNSZGDqoSHSY+j3gRPzGb+3tg0Jxs+TkxbdF+4iQxvXvxH6KdQ7/2tTtPFWB41t77P5sCLzIWqoSxGU4At/esLr11YwBD27QeB5iQ8D8KJGL2P2ejHBcH1s+5jVODEi19YlW0GLi46TiDW4+1/oKAecYJZMclEMdu2M4iQRoL13Km/WZTY9H+raT08ZLXPykR+KEDMUKXkDLGU0yEPG6TNf421QpoKk41lQbTA04npS5VUqBdt0lloefIXMLDAGc4LbBqU7Qsit1km9A/nYz8ZNcwijBgbHDr9i1UbPczS63MHSbIkiTGeOpiLrG04Twlec1+dTku1wBbzpft1fZDQwDAn440XuH0xFIYCLZ33TsYAQAudjo+/hnEyg+QiJREwqRWPimw23fFHP5Wm8PQhtSlRkLbdOc4Q+DoOwb2fHZ6CjV/96CokTKZFhjj299ce3WthffZSglsMgmVhgF2SCbv2tWUkggVp/IVCh1OAdzqJWg42KjPpFs4uoOMQxHOPn4RdWYTNkkcgHUJbI048Onhd6AZ26JO9NlnPcXH8bUbSFks7Dz+OGY/+dMAgOf7NgHy3/z2pzGf2u+9933vw0d++ZftNVUVEup6UzuKkUWb/MlWQrxBrfpOlpJbBvDzmx0tjVQYXLDP1p/eUHhlyuQljI+bnJ/b2Roi535rPQ2Q0d6koULCKa/V0RwPrTOZzWcsb+feP9Z5i4Rx3PWDiW+LXudgirU4woQJz+OyRUobo2CWLsteTwvhW0WVFFjvLHSpaOz3XAs/BBDwPlcqQtx1CV2DwrVVs4jT1wJz7kHP9CMc0xZs9iKMJlbHPvAdf8D+fpSgGo3s9d7ew6tH1maJMIakLcyMRkybtcdr+GA+R9s+yI8tF00eUDx5DZ7hjY7JV/Ifs6xaF1eykpWsZCUrWclKVrKSlaxkJStZyUpW8hUhX6aIrgdBHx3OaKmVw7VtBQrZxH5+LGaoSdxdqwXqweWXD8cFNlJbQSsNELAqVlQtKlZ0OjAwPP4xKzAKBkNm8dcChYqlYBEGqFlhalnZTgLhiW0jwCPI4kD5y2p5jlMhMHBk9EJCu5HRUuKY494NK0ptXsGQ8FAEApqvlZD++hpWAVptIN05xhLCEa3XGvHIVj9yVkYSDU9wvSkkYuXaeBoP90UYojKOKBH8t4bLpRZlhRGrUVXtiK8Bf8FaL1oDjUHbuOpZhFOvdAtgOh5jUUGqFgqhEl8ZRm3PXyRnkFmwEEbtDKUjNJULIn5XsT4cZdjatZU1DeP1La9aFKy+JAJouA4j6lMohAPsoRcorw8lhNfwGdvD+pFCzmVMhEDBanAUBgjYdhRShzIpMWTbSWuA3I1Brlq0rBwlHN8tlERDcu9zF7dQaOr39lmUwr5/9fxFAMB22kdv3ZKfHpox7l23bRPVpMVOaolSBSvTm48+gq/9pt9tT/jFVwBHhPrk49gl7H7r5m2Ev//3AQB2WaU//68/iBdfZLuZ/UV77kpic9Meu+CY6TzLvgSS65Rh076ovVTVMs3SH93zazUlTLvIiLbaQ42CupRL4++Z+/bhtMDV4RAAMG4WrSFlo1FQR2MYj+IbF1aXYgFMWEFOpMANP+tBOmAGZm4wRSgwdSiG1sCwsijgOaERKte2JfywAgjhzz1UAgU/HJJ9vMorEhcDCKS3UwoSuUN3ODJYbaBoM2UIiJzQ/UojPLJr1TgCVw3EbqCIkAg5frtuW8QDC7uM1tcgiXroZLSZKkCf9npjo4eEBPRNXSPPbfUz5ntFnkPQNrV1fYJI3LeVO6Te6yoODaSXCqfSgXrRtFhCcvHvQYDJHdtOMIoD5FznSnkQjkcsHY8zbHbsGpVa+79XdevRwpuR8siZvZmtEJdV45cgFgI1bUgrJSR/O2PLaxou7m8I45EXhRD+vrnq9XFr0DMOhSNQuiEgQmPO9o8+Cc/LvEZZuZZJAd24VhGJjIvhEByxbqAcNCsAJCvgbaMRHpNWwJHoa4GY3xtKhciRSrctRrRTIgiwQ8Txq7S1lTEndUAsvTiB5Drxx/v+Wz/gb6+nPOi3lxEbLhxcINBGbOM8CBQqN1RACkjntvmNw1GGzdT6uQbGX3Jetsh5T1OxiJuOiPYOpPE0DbEQPorTUlk0BBa61IYCmUMyGeNb9/Ol+MStcCklEm//F7ZJSIExdWmDqJyybFDxPRkpj5pVQvpzd7QMiRDInC52FHIiAtuiQUj0pLNjkREwRIU2RY2rjP+q9SHybYvinR0fYT1za2iDirwpfbtbPp+jYXxYltUCac4rbZoGEyKX5/PAo7iCIERdL4ZtnIq8xo1+Cd+qidiOhpiQCuFQ1j4Ob6TwOuAAncejDOvJkj7xp4pKe9L/GLSNAI7YQhUI45FVkRCLQU2B8vZtSl/XjRQm1IvAGL/ODQRSfrZLJOkegJ5Y6Ni8dp0cBkeu3Yy2qcgrSO3arhdbLNHC05uEPBk5LbFJNH7cS7HBa9sfTxEfWf99u7AKUgA4t2PJ6Hff9Cb0uBcQQqJiS2tezKHp6zSpHz73xc9D0zb9xm/8BsqKbeDdLiL6y6Igoks3+A/XVrZ8XHHyfd9hsSCjn9waAQAOu8mSLkm2+tu2QADYO5xh7ayNPYuy9n6lbbVHjicCaLhGR3Mb5yuxoGlQQvjBOkkU+mNk3Ow0ocDcteBr44nZGwHvT1zb/Z1WYy1wiMHFAA2pNGaMmxxFQ1tWaKhrIsTCzxnhu37GM7smddNC8u+9boAJUVx7BzXOk64gYYvre37X1+Jf/t2/DwAIxxO0X3gRAFAWuW/5jtTCd9VETE/z0cl7c8IevdbP+eEZZunvpl11Lq7kDZUv00TXgwJG15dfeR4c39aRZTCcePajGyG+iRMo4rqFJDeAg043nQh3ro0AADuX17xzDJXCrGTLAwBkbAlxhkkIBOwZnxUl3MA3LSQkHWjCFkWpjU9ACCXBQWKY1doH/wWns2RljcAZ21hhVrnWJemNTFs6o6pQMlQUGujwN2oj0XFtIHwPs0WSb3Zj5Pkl0BhkbFFy0/lQt5hzzaUxGHATNIFE4TY8xqDkuf8ckyAWBm3XLI4jPPXUUwCAj3zkI1iIWPqsg0wDxk0tWeKiOC2RQsDAYMgkwmh0vLT3qHA/8NEUJVDYYOJH1gJ8Pae3xa1Gw6C84hq2nQSvvjICAJy7vOaTFxASU0KdAxiI3L520+igDdZCl9JqvXpHSkK1jpuNTqhsvOOVgULCZZxWLSI6qpwOZ1LUUNylBFHgnWgAg21C7LWb7AKDtUuXAABHjcYaJ0mmgyHOnTlvj5eyPbi3hd0tG4R96gf/KTY2rEMNwgidy48AAM5csRMa3/77fz9AyDzObAHPvmBfnzuHhm2K4cULwMRuhj7KaVX/zX/7t/FX/vKfAwBcf+Vl376xu3see5ywl7kNVBj6oL+qlltfT9nD/o77VI0FlyAniWUzxBs22fCvgwBf5dr0WuNbxRrXH9xJ8Xm27D3+yAYqBmyBUphxExUAmDEBHpJsYd4YKNqmvGxQU9eG3QSh2xTQNhkNv4mN48BPWIQQ/njaJzMaxPywigJkbvqUEL71uK1c0KlQupSdMegwWdZqgS4TTq5VRcxK/8Tl10for7F1rmhQxvYvqXITJ1sfYIogwFrHtrLMqhIHbNeIPvpbMO99FwDgX07tpqFpWmxs2ATst3zzN+InfvKn7BJ3u16vXPtQ09Q+0ayCwLcdGAM/jeiNEgOxmCYqgsXkSJfwqjMgIR8lArw7oG1qNGqXlImdbUpxk7bp7OWh33wJIXFzZDdZO50QASdyFvQ9WdGiy/XPdAPF9p5IKZsIxCK4b8rW64sKFIRz00r4tllSECGvW6+PIpCYUJ92ZOhbE7PcpUIEfLlEA4nza0Khz+SqDukLM/gEXP7qyE8jNbVGwRbbjvN11ZI+GY0uE5wzGDgrkgK4yQ3pT/nSRoAHt2p8CXvj2xmXfYtkzHJaNmp5MwImnXjPDZYScjyntoZp7fX9K9XBuxRtU6P98+Cmz7XdGLdeYqvQw+sI3KROSMzJbRMAEIyb3ITPwAB9ts83uvXJtFQpVNSlkGukm0XCVwZqYUqFQOPOh7yFZdkgdnUrJXFM3Q2kQJdt956TaUmXOkoilC7ZqtBn0cdNoM5HGUK3+Xt1AsHgTNYaJXXJcZWZssGERb0zKkKXSYXu0REOmUzv9nsI2GL0U1nubozn/plnmW/LlFIi4ubWJyYAGDcFsmn8NLjFZPJTlNeYvvsTFb5aaP/JRpCcNvjBQOCdAeOf2iwms1L3dK+ziMMfWvfFGwB+cnUI4/VpMR0dfjqiNq1X6UQpVOSpjENnSxZ8i8v6VBgNCccraN+r6hZaumTKIg6PlESH93WWMwkBiUPSf5wPFc4N6AshMKA+OV9njg0UF7L54h0ITtquZy0yUp0MOGE4nEyQs/gSbO4AbD27MZlAbAwBAI9euOht2t/7rU/aYy3lz2fzuS8AZlmGkvG1m3ppiyB8VoJgUZxaTja9IbLcFufsIuAdSJMD5C7714XCe/gcRrXxXMiSSUrRT/AKaVgeemzbu8qqBSZsaewoYDqxsYFLrAd6USwRRvt7FqoAtaN6cbapaj2fmwoVDO1RJS0ljb0i/qsNNJeykRIZaQAC2SINT+pSqhRayf1joKBIQZO1yq/JBidq3z2aQTDB9tIzd9BzBWuhsP30FQDAyx/7BAAgrjVeeNEmt96ye94/B2EYQvOagiDA9kUb5/8Ei7FC7cG46cLAkh/DyXZ9iuNwbdt2if9NLn32NAqEK1nJSVm1Lq5kJStZyUpWspKVrGQlK1nJSlaykpWs5CtCvkwRXcBroK1eliqi0sFdKzjo0ZYUiJlEjqSAcQgqtja0aPz3jl6dQAxsBSXsRdjgRLzDSY4uoaVrLatExyXKfba8RAH2OiQjDICQRKiFIyBUAhEJVqtKe3hsL1CoWClSkoSposUxkR2PCoE2cNU7bdslAIDQ1SpcVA06oYTgOdZli5LIih4Zh6NZjYbLM4bGkJWEqmyQ8hwcEWujW7gukleEQZ+jKvtCYMLfmAugZiXt5/cPeVu0R3acObOD45Gt+PYHA0xYjTopXAgpIN5AAnFtNDY2NuGH6kCeaKN8TfVd1zBjW9XYPBsh5d8nRntUhGvnqUwD40igX50gZJtp2A0xpD4dTwukia1ODVl1DEYFBFtIw1Bhn2ThQgEJ9clVt9pQosvpYUWlvdp3A4WCqIiGVd+OkphRnx4JAkx4vLU4Qe6qmLDnFQ27SPsWbXT16uNIdnYBANsb61i7ZFFaiCyCBps7OPiH3wcA6O/selRFpSI8/aan7bHf/V77WU618fL/++8AAJ/59G+jJRLskc0tvPj9/wQA8NK7vtquzd4NtHoZCs01rkrMiN7xaJeqxsIuLFoqpFSQUqJuTqmtw9xf+TzZzuE6j512GwiUty1Z/5nNdexykMCNQqPHyqxrrzCyxYDP9MvXjpES6RR2I6yRjH48K7A7tOsbtNYuvHzzEMK1pYYKE9diUdQeTbXBZz1SEmtDEtuX2ld/wzDAISdt9kngmgYSE6KEHg4WrUbjvPL20U0tq2Tjewk6SiIiqeosr9BwSt6AaJ1uJTHYtGiro3yOPodAHOXHiCtnk7gmWvtpRq/mGQZc2J4U2LxqdfT47l3c+83fAgD845dti4cRBtdJUP8DP/TPPBn9rVu3EfH6Mlblm6ZF4IZjBAEq1xIPg4DtCNVyN/brJsL6Im0WwNcT6tTiNRNhoQC2766rBBH9WgYNRfvskHmVqRcE9TdG6K47fYpxccPq0J3jOVpOZGqIXh7MGoADQqJQYUIfKSAQEPWpHbI4UhhySElda992KaXyU4Nr2h0lbPsiADyUKG9329Z4VIse24Wuo0VHeSeUiInSmhcNauqI83XBtLJtGABmjQEBGCjKBp3ypD5po3373M22QZ+oooEQmIpFq5W7kA/tW6QATLvURtoCr0G3LP45Caw6ibKyhM+niBI0eul0xGJCnQiWyMOTxWdpJzeFm5kLZFggEnLXtq9rCOrXnZeP0N2y+qO6EdYGVq8mkwwBh0FsEomo9zPI0rUjK+S0PRASASczZkRFJYFEj37StMb7OSGVp4fItVs7gWO+dzlWfpiEMWLxqEzsOVSh8fHNehIgpC+d5y1qFzfxs91S+0nd46b2SPisbNCl3vlWXmPQuNbhzTVM6Be2hITiNR3WFW7SVv7LF267U/eIB9sCRdSIbuG6ERUdSdueREQkiZsYO8epUz78jmLg6+jOH5oG+Q17jcPtbT/leQ6Dls93xbUr9CIOv3vtGJ0NG2eoToThmtOnHIoodBeHi8McICJHxQHGffsbUimEbhI20ZhREqBHJHNTGwgitiyakHpt3PALjUOGFuc7Cs6Da2MHLgBAdWxRsJnSbrAjjmYl1vr2fGNlUNLe9IiQScalRwUe3dnH+qMPAQA217rYiDpcH05ovLuPii2at6ZzvPm97wMAPHbnLu7+0ocBAC/evoP2gp2m91O3rttzDwKPRkqTGPM5rz+KUbGN0bfgQ8CTprdLduzUJ+U9qL3bLL3nJ5cs3qvseq+HPYTaoaYW9s1NyczaCor2+u4rR1jbZrdBJ8L6wOrEfFqgxwEs69QPvZf5CZ9NqNDSP0JKxByCkLNbIAkl1mkL6moBi49VgIZ2qBRuuEqFQ/rlc6nixEJrbt3+wXDAVTIIvK/pRQq9vhs6VIPgf4T0c+eMxD1HDaANYg6EqesW8+t2Auf+Kzbmuf78i1Bdew0vXr+GHbY0PrG9jeHVqwCAwdYmXv78FwAAP/3JX+I51ot99fLeyF0AAHcDwij0FDRSSu+vhYBHv61kJW+ErBBdK1nJSlaykpWsZCUrWclKVrKSlaxkJSv5ipAvX0SXMSdIgRei4aotjuDSCAmXZf7wcYCrqUXjjI1Gj/wBjth0NCuxxhHAIyUwJ9/NpSiAdPwwaYyydlxZrAiJEjm5dHQgPHMHlEBL0lxXNR5ECRqS3wTGIHQ8II1Gw2tyZMyDJMS9OUkS6wYhR7smKvAFD0/MHCxIV8dFi27Aap/Q6HQ5nv12xeUznosngMHMpzw1DEkMDVEgJYBLJKDPdOv71o0wC/4VAJ/j9fV7tpq7vZlC8yS11rj1qq0mTCeTpR7tZeSWee17X/I+v14iIGWAo8NDj24Q5OzifyyGGpBvDGrNzyb/hWmIxwKrTzMAXXGyep8VNRISVs4CiRnX9mIgoRLqUxJ5MtyI5yClQOEqhaHyvCBQwo8Yd8Smg07sK9rSaAhWtbOqRe14qqivaRRgxOr0YVijZMX5/8/en8fbll13feh3ztXu7vS3v1V1q1FJJanUy5ZsLLcyxjQBHvEjQBLyyMtLPp+X8EIeOORDAgFC3+UlfJIXwJgHwRhsIICFjdzIlm11VlulklTtrdvU7U6zz+5XN+f7Y4459zrnnlslQ90ycvb4fKruPnuvvfZac4415phj/MZvaEq2eh7J4zhDpgcl5x9xvFpPP/UUF97krn2y3+eJvssAZW/7ZnddVU3yoEPF7Fy+zPO7DqX0vne9h+73fvhVZ4BH3PdO7d8mefxxAJIXXuQlyTj9Hz/1iwB84pd+nju3rsv4KlJBiuzs7LB/MHTv10u0zVKWrwdr64xHo/uXm1TqaJZLhf8BSy4Sperl8fJs/dyu5t2bS3TgtmSTPa/bdF6TiQpODdwaL3WpI3wMeZ4Go55KJv3NG11eEL2rk5jE8/JEipmgfyZTd11PnFsPqFKsJZffHhYVuUcNSjZyo5vzyqHLqu6WNYncZqyjcMcz4eLaWe+HFvF1U1MIBMpi2dx2mdLNkaCBogVTQX/qpmYkXCU1FiVISi3z3EQR54QjaoEl7zud6W6scePpLwPQO3+e8aMuS7m55+z5bHYbIzCOxaIISMDFfIb2JL8hc+l4uvy1B7F3Iyped7FKkEKiU8a0CF6XnG9hrbMWJXbj47OcS9qvddDzx8ipx7OK/kK4ceKIO4dORy7GmoEgpLbXOoEWZU24bYyumAv/SZnGRN5URlDLvHoS/I1uGjLaxhg0Hrlh8OyLPtO71cu5Ifo0rJpwT03rmVqIkmXRkiB8WtTYRLLiypB1Za27KfAXaxHaJRIsUw/MtRYjz4X2LdyB8/I8LkwTOI9qLI1HDVj4qkBr8syhABazveXIHnnmaXFP3msda6EY7utaJyjY9s+FVhcRS7LgY8gu4Of2NOc7bk5H1pBLjtRzio6mBevSEaWMFLcE3XIx0vRlPvJOHtYhjyCJtGImutQkEdp4ri3XGAKWa1c3S8Iz29Qm8DY1xrDE57r3tntZsE0HZY2WcW1YognGoge5VoEHbLRoWE+9Llk6fbHB15yeKGPDuVK75L4sgUZ0SQWkIpwXlN8rt27yzY+8yV1b07ApSJpfmYx5NqBpBQXdFEufQ6lAbA0qrB/hbpUOKmOMESTXvw3S5ljyUI4UYreG/Px+xoXM+RlDa+hxtJnAZFrQL7w+aXbF7p+LNIkgXLqdlMpzc/nGNLFm4X2eJCJQ9yVQim0qxTadGuSBa64xSxRWbW3wm5Q8s6f6OVf2HZpqVDVELX3ypQAL4XFrjA2I5llVsyvI4PPrPXrC15VeFo61xmBT95ydWd/kpiCEtlTC4cgT/brzq+1tLnWdb7135QoshNMticmffLsbk/GEXxL/UMu62O9lNLW7tqqqQ+OVbrfHwb7fD7T1SlBFd4FN1X2nfTsqJ9hC/yxo5TrVAB+/Aw9sujkdG0snXtoFgPG0pOeRu2nMCzKPD0ZrDITnK+tkofrB72+qCCqZ0zqNwzzEGRSCQi1k3RjkXSrxi2pjgt40GGq/JZCx2+rl3BTb5HTJvd/oZfOEStD8Otb4bdy4qImEJ1pry/qGu/bhZfGV6gZPfJlbQ+F5wMqCoVQNdKQhVFU1RHsOjRyfPcP5wYYb3rU1bgkPmN7d44vSIOPCWYcSvH37akAu11WBCQhaExpoeKmrikR8BrdnEb0yTWv/x0pWct/lGzfQ9WoOoYeCeuNtDSRuA7S5mdIt3cNX2DIEajbEuE2qhnlHHuRhyWbkjEnamECgGkWamXQxS9fdsTbRwTfZz5IAR84jR3oIkIlDN5oVofwsyhJuTN15rVJ05MmXGAix0gwEXn1zVvKIBCOmZUMn1IEsnUa/8Uq7GSPfXSaJQQz9TMguB7MKIxuibkUgKk4qE0gcm3JJcB2LQboU5zQ+eGUJhN+NNXzESmeOqTO808ku5887gvLh4WELHs2xABccdcBV63N7X42hItDxhvIGFScnBCtYEieWe6hNF5zZ3IpZX0j5QrUIxJMdWegKY9EDNy7ZYUUqc7amNUNPyBtHzCSg6h2hEZbYO99ZHFqmdSKFkXNvCRT/cFbQyOY8SjSHQmQZxxEduZ5TMqdF3bAuQZGn9me897QrESOK2JNr0FI2m1h4WoIFD7/9nZy74IjpH3vyncylXJaZc1bpDugJYfQHvvvD7P2Tf+SGbn0LrklJhkDqj8inn+L2cy8AUF88z1iciVM/8AP8w7/2/3X32XX3+8ilS3z+c5+VL5rQqODpp58OQa9cSO4X8xZhJoRFuK4K8jwL3XJed7H+f+1SgDYs/2iwAWvQPQn0nOowl3taT2NSX4Iq81EaQyl7z2TYsC7vd1FMhDA81hF3xJE7dcod/NXpjPNSr3U4yOhIY4o4smh5ZksJRjx/e0xHAloloMRZzrKEjlx0JmVHG1HEWEpUXxzPOesJyBvDWiOlfhLEL6MunQ137GR8ELo89tKYQvSue87ph91buNIVYFBU7I6dU5g2oKW0U8lmZW1ri/zA6eCF9XWSrpSnbG9yXs43qUo+KQGdqna/tViURBL9OHPmDFPZIG5ubbEvDuDGxjoA+1V5ItT+vldzAMvgxDKIkmdSelpWwWYtO3tqkh133f2eZqt2x47tLBCEd+VURWOhL7ZpVLElSZu+joI+JVHEWDbwmZQBTbUNQdTDNCKSdSSLANGX7Z7TofG8DKUXURJxWPiNiiWVx6InG+EE6EjZ6EuTOW+WUpKmsaQScBrI/BtrmQkhcNrLGQnheT+LUFJCtui5++lNq9A9NKtMCJzErbWOym+YCYHgnaQTGhMYlgGO0hh+SgqvFpIUOF6iHMT6z1h+3i5PPM7AYO+jQp14bh+EWxBIw62PBGqInG1aG6SsWSFKtovQIGdNxqRoDHbgxrtzWDlyb9w6NxZdirRmOnb2rSd+0ySyJL6JT54QycYy02DDmudLCUuUzFecRhyILkURQZe6oeOepSPBhivTBY+J39TWpU2xc8YYrERrO/2c4dRdbz+NXettYCFUE91JiRF/rFPY0C05bqCS903lk0eQy3NyrjfgjjRVibKUNZn/hwz8sX23mSxrWVNbpYtHpRU8av1jbXut+bWUY/oVfLhWwLnjuiNvnknZmLnne9RMgm3Kg20yIL5qNqrYENu0HkWMpJlKGsfMx86ex2KbZsoGO3Yt0USiL1kMPoxwSkrMDqYFiehbkkaMPZl8tEzwdGWNSJWi7/VpMudxKXmrGktXGOu3RJ+GM8NYgk15J+OVfeeLnO12iHwTmjVnx6LRAivJimhRYiNJLhczukILYeX5qIYjTCk0B1mGeFWcf/sTxLddaVq5v8f/eksa8xQSeC2l5AyO6JVCndCZusVcD7SLfu6naVrKayQDvA9u5pC6dW7rVJe+dGOcRCYkBiMJ+kyrhk7fP79NoFNZjyIOhYy+E8csRJeSNSlzV5aO+C/zTkLsm4nFCiW20u/B9ieLli7FjObLNc3bpkyiromCrvhN1ycLHhbaiaq2ocvnWVm7lILKis3sdRjKXnGQxVTSPXgqjmI0akICPq0dDQ1A0igOpDNrKrZ0+8J5HpAOntV0xuZDF919Hh4yveboHYZFyd94/iUAbk8O5RprF6iCZeTO/bFszCO+UqeTU4bA3DJgr6MY09znjrArWUlLVqWLK1nJSlaykpWsZCUrWclKVrKSlaxkJSv5dSHfuIgu4ETCVywhg2QE1aF7IO2cDw5SXtp0mZJHJxVTiYDPhHyy0oq61XJ7T6LU+aJi47Qj5h7uTtgSst5Cst2mMqTyvX6kGXuySlSI0ocSDkXIcvZMwqZkIA6tYiDlj5n8bt3Y0Kp2O9IMJUK+lqWhlCKR7zS1WZZXVE3gbbTGkl91KI9YkBC2arCeXDeL6S2WJQVjadkcy/h+OFtjIHDVsbKBoHauoZA0z1Op5uWZRxe47xvbcO26yzt1u51AoLq2NuDwLjJ6HcjV3YX4sqHjxL6vr0RRxPrGOvv7+7z7Xe8B4NqNG+zecVmxXjcjipy+HA4d4bmOUsxQSmy2Mr4Wu+zeY2XBYUfKBkWfmkjRDST2lgMZr62ioitZwcnBjG3Rp1KQUqlRxIG8O2KqPLLAkfJC4LukQWEb38RAsSXlPRMLPdEN/3RESgVS6ce7OYdzIRiPdSD19t+JooRIspWHo0NOn9oB4JN//2/wgW/7ne7+f+XHANj4bb+DT/zojwLwzGc+yfaDDwBw6fc+cjeS66XrkAk06XDE6Te7ko5rn/8Ub/57P+Le/9KXeOzbHNnq1tBlmH7h4x8PCUkdLYkuUSq0MW63XV+KCtnIumnIswxV3Kfs913AjuNZbiHN1b71s8YcuuYNw90OV9adrj0wXYAgoG4LCmKtmwQ0QmUtu5Ih26kb+kIIXo8LLp13KL3p0Nm/C3FCTzKQNo6ZetRoHJHL69S3qM/iUB50pp8FUt4S6Enm0ApcfTSvKASuejGOqeT5zVWE9YSknlS5qtiThgGb/TQgZWIV8T3f9D0APPfLv+zGwUYo0Y9Tjz7Ch7/Jlcf+wj/6MW59yZGj9qVJwu/+fb+P6UccEe+Z7/4Qlz/2cQAOrlzDbG4CcDWN+IlPurba48M7MhE1kWQ3+/0+uZAab6yv84lPfBKAvX1PNG5DuWCko1C+2G6IcH/EAoYkTqhE15XSzI/ouJBssyx5LgVBOc4f4lkprXusLtgTuzCVOTOROkIs623T+rykK8S7o/0pO9vONvmMd9eogM7tRhHzUIWggm3yCOBKKWzjkRKajiedRoUSE48KnpcNyBp5JorYlbLa0508PL8e+VGXTcgQl2WN9tllC91rDmUVy7kyA+clM7/oxWGZuYNidmyt+/ZsnZ6MyRSwknmeR+6ZA3gmsrzoGcmNLxU7Vm4fRN3jdbuc8V7Hv76itHLIxDZaKCAFFb4MdtnyvYS5Q2cfHva4tuOeuYuLkpGUI87L5TrXLvXdEz9kbV7SEyLxw70pp7ddyftCyq57jVo2FYg0U9/8Ak0eLf0af/2eVFtpHVA3NZDFR8mqDxYVSkqJTumIO+I3nevmAXngOenrxjL3pMlxtRweC/HlIQCxIP5UbdCCdC+SiK74TVGk7/KbflN3kzXxeW71cgYyPs1kwisy7j+1KLhe+fo6fwvLsWwaE+ZLKxUqEP6tqvlpoU2X77UPWH5gDhyq7c71LpelZP0hs2DPNzdYCBH4MX0aetu0KOltuO+N92dsiW0qRJ+66IBOzvKIwlcfoEJDijjQQOilPjURfU8VoTS52EqvK3vzMujhqSjitvhN53u94DcFQEtjif06XTfh9p+7PeL9Y0Hbiw1uKkMsqKKZhfNnHLJmcnCNeCbnnbl7+3DSJ5V1qlobkMn1XPn4xynl/U+dPcVTX3pRxq0OU+FtrNYaI8/YomitI6GUTLOcvON26X6vdcdt3wm/Jyh2jcIUzjbtvdLl6hmnBw9WFQe+YZf4xEZrtNj/oqk5EIOzOS9YF7/7YG/KVrBNzm/aUlFoTJJrHXSpQdEVH7kSChobR6EMVjc27OMqrck9UFbGeFRUGPneptbsyTp3pteltkePtY2hFh2dFRW6BeWcfcWh+x6S52TXEJ5F203ZFJ9g++FLDKUCaWvH+fAf3DrNK19+BoBv/j0/wC//fee7N/MZ+4JuLz70bRy+7PylrHCIrkjnVFICXB9BZS1pCVJpGNLpdIM/7soVl001VrKSN1JWiK6VrGQlK1nJSlaykpWsZCUrWclKVrKSlfy6kG9QRFc76wB3ZwJ8Jkg4D6ItdOKizGZ/wVPrLjP5iIK08cSVwi9TNwyFjG8z0vQk2xYlUajFjzd61ILS8vwk9ZkBpWT/sqgTeBPKqiZOfLbdXU4Wx+jYnauqa/D8I6jQXrny/CVxxEWpA58XNQufVTDLluuVZBJyq+gFQlMTzhXXtcveA0bq/fMkpsiFU0JZkHrufm05kIxPX+7hc8WE78hcPXyNoeOzXJjAW/ILNuOV2aGM+3Ju/MwURclb3vIWAF66/DInZm9s63UgdT8h+/w6irGGxWJBFEVcuXoFgDRJ6AhhZ6834GB/T67F/ZOkCZGgW2aXh3zuQTc2b9LQPa5PjWFfCH/XtWLgQW96yb3W3exRyRxnMk/6dJ/Fy0MAOlEnEGva2gR98jXyvTwJ+lRUVUBbrKOoRQc88fMgjTkvn1e1ZS7ZlcY45Agsh/n8xUtY4aUolSIauGzQB/7oX+bGD/8QAOd+/3/sDv75X6Cz6cYh296i61spv3wFPviBo4MeWfjUp9zra9dBiOu33vNuDv/W3wHg02fO8tO/5JA1eeQySHfu3A6cEg51JPodxURy/yw8N1dbv5Zoi3KxoFgUmDYC43WV49w7J2cpbSO8U/0zIduwuL3L08kpAB6KFOXMzU0mz2nZNOxrz/OguCj3nMRL21R2IRbbNJB/uw9tMX/eZT8jRSDorcsahFdCEp6cGnSo8AgCSy6fp6hgZ3x2uJtEXBKy0emiXGbPG0ssPBiekmm7t87ZRx4FYHjthWCPLu2cZSh8and23XPWyXu89X0OXdnkSSCH/Zbv/808e+oCADvbjuvlKzdf4V3vd8emb32CM1fcM7z57rejhcvqz/zLn6UWknr2BElop+zsuLEejydcle9Za0OWf0mztmQXrJu6ZYdUsMH3LUlpZY1ocb55tJzjCPMwApf1T3rrAcm7eOk6X3zEIQQejxVrxo3jgRsWyrrhtmRlt5UKvEFEmm7q5jXd6AeOra78q071mYlt0iojkeEwdR2I8P2p8jQmFj0t6zoQiGtFsE2eEqqTxnSF0GS+0CzkWS8bE5BcSsY+O7bW+SlJZ8u1znPbnO/ElMKJqZQlnzl78k4ivurJxGXOnyomfEvu/INamYBAG9smrHW/TJ8bs4nMh3967yZzvqfY48e00ej3DzVhj7NLQ2t9ba+zbnxUlIV1pb52hc93HgbgoUjTE4blhfD91XXNDdGls5FiQxQgjnXgVcs3+2ghWY7mgng4O2D44kG4gki+Z2qDFmSGbflNsSCkatOQyNwlSgVUDYI2HWQJW0J0OltUFLyaLkFfEDHGWkqxc3FRozzhvZB5d1PFQjguK9tgRZd2Grjlzydj+SvzER/qO3Strkr6ggR7rqmwcu0/U2puVUIq3uKDi+Sm4ziiIwiJUzuneOllsVP3WL88F+X9R5uKnATEgaMAIEEI6rQH0qapuHyNp/qu0c0jGjbEb9oXfSqrmhuVG9vTWrHuxyPSrIk+dTZ6WM/ZJutftdNjIX54tJYRy5g2ZU2eHH1We9nSNlVNjYqW+uQv3aMN1/KUnY4gPeclcznHom48LRKlVGmkVrEpXKHjsqLxnKqNClyrVhbcLINCuL3soI86cKjn7cEWd567DMCmoJc/Nzvk2844nlT14AXMnlsvF41lf+ru+WdmNtimOHHnreuSbUHyTKdT5jPvI7X0456+9XKtu78ccG0bePy91vvCNaaydbLEPbPF3k2+vO5s0yPJcp07lI5gTVVzs3Zzcz5SbOErFjRrwpWVb/WDLiWez/bMgKnYpkh3iGS9aqoa7asepKwiiY/qkkc3JYqwXvtbGOQZ28I7O56XYZ0r6oZE9GMiSNGtKGYgDRyaxgREZzyp2Og7u1DOpJFVJ6XxxK5rA9ZiNz5xsWxA4DmCk/c8yXuk6mJ+MERJ8594Z4tN2Zf8+MuvcHXXcb81hdOZTre7bI7R2qZZqwJS0CPp9g+GtBuwLGdYcfJ8r2Ql90e+QQNdr7aIn2CQy9sYIxudaMBzV9wmM9teQoinsjGjqTHy9K5tdiiE8O/FgymDTQdzVbHCLqTznWwQp2VFddoZnsg01L6uTCnGnsReVsSessQCik2zhEoMhKodmTQQFl1b1SFglaRRIM3tpEtYbSYG1mpFKgGrTCm0OH3pvCQTxyqX+z3oJVQyhhOgJ7ZrWFR05HwD+YGdKGk1yTAcii3dSyNyCQRuYsB4KLTverncFGMNo5FbxGfTScvOtWDS6oSFzeGuuV9iraWuSrSCgwPpQpJkZELeXZQlT7zlzQA89WVXNlXM9qD0tTQdnr/hHIvkFGgp5Yi7stFvGu97093MmQiZ5LP7E96x7pwhFSmM7/ol+jSrSkrRJ1tXGO+j6WWJoQ+GdjAo48mY4/C5bSAVqHcjzr0u61BaUStLKhu8zW6KFWc/33RO0frZU4F0euvCQ1z+FVf+ZX/qozz0yGNHB/LBB3jXv/d7AHjfH/iP+dpP/5y7tkcfg5ddt02E8LL62C+Q/LwrU2PQ5+WnngZg0o0ZSVehB//9/5Cb1y678ZEwnUWRd9xzvJhPlwTzdU0si2tw7qqStpOmpPTWWnOfUfj2aDOFk3RargmgmNwCJZGHZJ0XbrtnJNm2ROJQzMU5WZQmOFidtQwE/v7CwZTHxFk+tZazkM1XKUGx0axgcUpIx5VZlnm1iKJ9cKxrm8Ax2utkoaTH1obEO4iBwLthIbapmyU0M/f81yhy2dAm4qSVtmZw6MpW8v4OT55zOra2do51cd6/57u+H4B//Df+Ojelo9TO1ibXbtwEYPfWHm//VlfOeuNrzwFw7sw5aplzhkNm8tw+f/1lHn/3+wD4oz/4h3jvf/qfu2uPfKAUFhIUHY/GwXlrmjqUOXgxpgkNIFDqyJwuO6LdD1GgNFmWsrbmgsi7u7ut7ka2VeItAe3xTdAd+Tzi6p7Tp3RjqU+zjrdNNVaWvXQjpxJC9+f3xrxTyoNsBLWsdV6fDucF823ZINimtdwuy2J8R8TUghHb1Eljar+Zbwidy8JaVzdIjIFuFqM9kW2k0D5A5qMeaUwm62puo9ClOF+UoYtxLhvlaLtHJfdexToQXg/nJT0J1CbGHbstwX43upZDubciT1mXte6UKUMw6EiA6+v23Y9HB96Y0sW7gxJHohGtD2UzXs9oGkmR6C4vXXbPb/pAROLXeGnWUxcVRnQpWs9QEzc3X7094v1SHmRjFWxTIf7R/mxBeco9sxnNslxRwaz0fpPYJixWgibddLnO1Q1oeT4j0RNVm5DEydKISNZlHS/L3P1TpNKYXrSkA/CE4cm0ZC6/sSnfnw4yStGlQ6XohC7XNdtel2QtPxcl9OXzm0XNC/J7d7oxZ6Xq/lzdsOxKuFQgX9qdpymnT58GYDyZhfePKttyUvsDV341Fl/rvos6di3HL68lpjwE5fuRx3z1GRe0+12PdkJX1Fz8prKsUeKzxBspzdjpwnN3RrxbqEdsrKjEBhRSj7w/WzCRRgd9Wwd9sLQ6acvEJxqslPd1syR8XjcQSWGr/76pagqxbb08JpbftYli4ZsPSBBW92IG0lSjF0Whi+v50tCX86VS/nW4kYfStOFszKbY7lmvj93ccOcYuf3Kjk5AGhosNvLwu3fWO5x71zsAOPVLv0IqmYdSnont7R0W0uRmPpueODnLGTxORn8/g1ttOUmvTzKkEmwqhjRVJ3znxZdduX76cCd0vK9kDqpy2dlQb+WYiZvzr9465JvENpFol/gDZmKb9mZzRpvi/9Lg3Z4aGPmgZuobuFiM6FIvjVu6pNAhsOaD+A2yraSTLte5KNVEPgjv/cM4oiNrXmRb5fhFGRKAqdim3X7KTHwhlaZEuXtOkjRnR5J+mwPnR6RJws5v+l4Arv2DH+fie94NwCi23L7s/PW3P/wQ1SfETxcbNZ2MwxwopVr2aCmBUuRIQ6/ohMYHK1nJGyOr0sWVrGQlK1nJSlaykpWsZCUrWclKVrKSlfy6kNdEdCml/nPg71lrD361J1dKfR/wP+J4P/+mtfbPHfv8QeDvABtyzH9trf3I13n2V/nseHaggVoyXOlWKMX4s2zyF2OXLdmWKH+pNdcE/jmclVBIdq+fMLpxCMDmpW0qIZXudF3UvBgNUQLdKZo6lFVMDaGF+ZJIW5NL9m9/tgglEZ0sQbOE5oODV/ssaF3VIYLeiSOs9iUaglLQMVqu3dQWK5mJOI0oDx3aYlOuUZWWRSYZM2PBw/HH84DXvpS7bEdmFQdSzlmZZfaMKONPlu4cXz6YkEmZmyfPj+KYXGD3SZKE6ej3+5IZYJkROI7aapcx3kd0q7WOjNa1v5Xr1prv+a7vAODRhx/mZz/2MYBlS1yloHG6gI5RsdOBP2X7/HcMAXhwKBn/WHFd0C2H84pUUAFxJ2LvFXeOUw+fwkp75O6a6NOwJJW5mjcNHdGnQikaGRCvN0Q6lK7tz4slUXSehpbaCIF2nsUoIT+tjAmovjOd1PVCBoZy7M3rV2DgSi+yzSn9HYfyePxbvxW6a0cH8uGHiV+W14sF25ccLJrNrYDk4u84ovnZpz9F8vzzADx1+xanJg4Rt1jr8Rc77rxX/vRf5ns//O0ATEcOafeP/vE/JZPMFEoHnVkbDAJa8GR0hGqVetgjcOrXXYI+n5RDOOl3oyX6yzQhK/zXqg7/aezG5ezI6V2aRlyR+5sVdcjkpf2Exa47Nt1ZZybIqs66y+4XwzIgYYqmpiuolQWQiW3y5KdKayJ5fkfzRYC69zqJg1kAVeWup5vG5JJhnC5KJkLGHCUxE6nGycXG9NM5X7vi9P3iAw/Rf8A1IOD6Zb787GV3jv5TANRXr3H6gmtgMLx2hSfe70pfD4zmsQ84YvqHTrnW2M1XvkZzy2W5f+Vjv8DahstY7l27wR+48lEAfuHabfCIPinx6+Q5w4OhG3ZTh9lQWi9RWkF99HJebfjfGyAWbENVFuztuXu8K4N6Ejm1b8Kicmoh1v0z8SZ/tC/NCQ6ljCOOuCEo4/m8IhPblOSavetDAE4/ejq0N99cd2O7uF1gRZ9q05CJbWqURqmj9lzHmq4ghHfnRchYd9KESNyPSsa/m0bMBD1WFSbcW6RUQAY3stbpNCaWMidqi/Jl+klEcyhzLDDYtXlDmSu5Xsiknfszu6Mwnu/quLUutzAWeEllDWcEHfas1vzXUq73pdFsSYvQzlLfhba5lxxDUgW0INxX3VLRCed/LT9K7k/nIPP8F/YT/vgpoXcYunFQccwrgjadzWu68rU01dy64uz3mcdOU4ht6feERNwUqIX4L9agxW4qpYnF9vha3CjW5F6XZotQgtjJUiK1LBsC16DHCLrdVjW+GC1SKphm49ERnTSg7VVD8H/iJKKcuvvTjbuW9aJhkfpjLVaQtPuHs9AI6P1dZ3dPo5lE7r2eJaDDLiY5f+jQ+T9fGB2G0VYtpEQoYzSW21LSPRdS8qOiGAiKaz6bC5IZQRWfcPj9kDYZ/auqvm0hIRvAPYd/bj/n/70phNxim87FETdk7VgsGlLvm8Wa21fdVuT0I6eCz9YXJPi0XmDkua9tQypOjdI6oGw8UiyKFD0p0b45mQd/aq2TEYmSeMoIHWsSQfxURRPeryoTHl//3lqvQ6/rzjscGUaCTEwqQ0eQaamUVa/PG8rMvR4Zg1ZuHOo7u5x6xJV2nhs6XdmaF0ylEdR0eEglSD/29vm9P/QPAPjMcJczZxxaen/P7W32dm/fhVI+LktVaU2gVQR49/HPXndRx/69l7TXOU9N0w3rzV857PODm26d2xk6P+hUrNmT+ZzNKtakUiVJFLdeds/WuTefC83CemtOl+b1Ams8BUNNKrZHq4hQBetd8EizLrp0fTQL69ygkweEsbdNOtZoWed8mR+4td03YPANozqdNNCZRFZhxcdKYs1Ymg2dM+78pxvFodimzsYGae789e5gh0fe6mhjzDNfA+DZv/2/84WbfxmAJlb81j/x3wGwf/UKf/GyG5OnP/MFuj2HmisWUgWV58x86atSwWZZpQJ/g38e4jgKaEW3Tp6EQl2VLq7k/svXU7p4BviMUupzwA8BP2VPwiseE+Vqhf468GHgmpzjn1lrn2kd9seAf2it/V+UUm8FPgJc+lXew/Ff5igc3/8rlqnYh97ZcOgrF9zrR6+5zm6LEs5It5ObCaHLRdbNmcpDe6oyZD23SO/K4hfbhLEvtVBQe9h9pANnii8lNI1lJoGyda24IwZWlw2xd6Jk0RxVdSjxaFiWGJUausJhUfrOZhgq4SK7MSu4KOfoFA1aeH6qufvdhY5CR7StNKGSLoJpljCQDXQWyjoIAZGOtaFMoDaW39511/tyk/DQg64E6YUXXRAjiSPm0p1mOp1xSkoUppPx3XuCuzglWgcs6yZfd1HKOTx5njMeO4divpjzT//5vwCg319jPBoevSbb0qd6BLgNoIoV47PnADh73dW2F7VlZ+IWgNvpUjc73Zy5lDgkZU1HNl97nhOOlEnp5sQAtXQS1XFMLnBp31WqVA14R7A2TOwyEJakfuzce8NFGboOOS4bp09fm8zpey6VREoFTca5rQ0AvvLyVd7+1rcjF89X/vbfAuCJv/zX3Hs/93N8/Mdd55Zv+5//V3a2HP8RWsNnvwjASz/24wCsNzU3XnCdgR7c2ebcKeewfdRWfPeWC6z94Z/+GLeuSXnauTN4KQXyr5TC+mdkNOY15Y1aT1+zzPb4hbT+buagXaBPaU33Yfc8da9dB2BSGXaks+luosMm3SYpMym3mRxOOSXdg7524PRng4xZNQ2/1kigCh3hCUZi8UcK25DLBnM0KimFw6Juljwo/g6L2oQNgU4VjXzPaNByPbO5+90ktmw+6Bz3L76yy+OHbrOiRwvOSNnY4f7Qvdfr8alPfRqAH/zff4TP/PDfde9Pp3z0//hnAHzvd36Xu4jBgMkXvwRA/6WXMHKNozTl97/d6etPfu3HiWQD4ZMCaZqEjUmxaHV2PWKCfBDj+Jy2jdf9VSwlQZ7Qbc2aIzrmHWMbSiiXTqRSYH3gII6YS/fT7nW31lUNnJq4793OFDJE9HpdFqIjedUwWHcO874vt0g6wfFV1i7XujQhlUBtJEFRoy0L3zGyaShkE6qoSaWzmedKmhRl2GzWisBjZCJCh8a5DENtDEhZ7O1pwVm/1pUNSvi4ctlMNBGksgivJzGLXWcv+t2MRLq8JX4TY2zgmsvbgHer+H199/cfOSzwHc1aB7TU4l6lifcoCWp1jLyfZfrLMsuTfqOtyz7wpgm9Cc0clFujVJYwvehs9uAVp0tlDdsjNya7eRRKDHu9HoXMf1oaOlKuv+vHXWXUYtOtBiO2IEmTEJAQikvX1dV3kmsMhfghuqzJ0qO6tCgrItGfytigS1pDLhtH//1Z1ZDIpvD2rOCirKt50XBROiObO+7hKHWgWeJsltLsi43t5SClv7lseGsDpcxtUVkeF3/q42XJ/0PO+5+NdsO4+9GPW5xjRbFg7rvj2WWg23MDWmNDF7Sz589xsO/saqQ1zRvV3ezrVtljz4QkH1QSMZfExuCG2Kbasj2VtS7VYXD6/S6F2KasNnQHbhz3hJKjE2WUct/GWmo5NkkTOlLWrkWfam2ZlcvS/ErGdFHWZJ7ryHOYNks+2gLLVHz2OFZBH2oJ/u8vSjp9FywZYslxAcrt2jLoCd+SBFDLbhQe+bOdLLB/mMWE/JbreKdkX1FE8ZIfM+9guu7eF3uGP/gt7wXgP/iXH2EhHF0hKaA1iayLRdHme6TlW/tgZYTynXyPbPPs0VK0112+3nO3r92X7VehG6OtGybig5+67SgPaMDOhaKmE9EIeGF9bcDcByHLmu2Bs293JECe64y5BKdKY1D4dW657vpa+6I2KDFUTWPwXZCLskZ5HzzQI1gyKZWe1CYAFuJYB7632nN1lSXJwOnS1f0FF8QnycuGzHdtv+ls0HVVUwgX2QOPP0YivATF6AAtnR1vv+AKqDfO7FCJb2bLks/8fRco7bz5LfzfnnRULX/4k5+m03VjMpu5NXM2XwbbnS5KEE5DI8kGwhq9CmKt5N8Oec3SRWvtHwPeBPwt4PcDzyml/oxS6tHX+Oo3Ac9ba1+01pbAPwD+neOnBzw0ZB145Vdx7StZyUpWspKVrGQlK1nJSlaykpWsZCUrWUmQr4uM3lprlVI3gZu4/Nom8GNKqY9aa//IPb52Abja+vsa8M3HjvkTwL+S8sge8D0nnUgp9Z8A/0nrHX51mfQWKkhpEPjnudM5pwRZcEcSl00esddxx55PYq4upLtSY7klEfkzhzOy2EXZY8kaZ9t97khnClMbJClIbC3GI7lCxzjYkMwOccyGh1PAMurvyzasDp2qErUkKYxLQylZLL2WhNtMpQzkga0eSoLvi3kdOobsCpR+zViUfD/RhvMSjY+04VBL+YhcQ6kViVzibuTIpgHGGv7pwg3cdNZw46bLQM0l6l9FUSB+jeM4oA7sieU/liPEyu3SL/v6Zibb+qSUIopiyrIKXQerug7Jq/lscrQ8JZxk+cIOXWnGA48+wJaUZA59J54YpkKw2leKaSElCRb25EfOjRZkknGLBHHX2e6xWwiiq14iBCJjiANUXqD4paUvv5F080A6rXCd0NrHxlYFWPVaFlMIRHo9ijktmeiXGpcVyrXl5suOgP/Bt34TC9HDl3/+Z7n0W47FrL/zO/lmP6VffYbdX/gEAKPdXR55wsGmIyFEHWY5E7mHga25+ZJDd40zzd99yZVolbUKOvC1rz0LwJkzp7l5U7J07c6eLQTFyWDT4/D71w81cbdt8r/xmt+Uf1vlQRiM6M9Dl9ZI94V4VtJ8Riv2BTPfxVKUUpqVJdycynM/K7mTubRwM3H/blzc4PbcnbeqLb5PRoxCSXa7kOxvrBRGoPabGz0KyVwboKqF3FkuPdMRPenK2Ek0VrKji7KiEaL8WvRyv1gQ3XDkw+987Al+4iccYvI73vutPPRmV+b69FMOwTdH83bpqvg/ffi7ufSmJwA48/ib2dpx7z//L1yF+2P//u9FP+u+1330EjeuO/RbOR4xPeNKZj/8Xd/BRz/6kzLagh6azmjqu+3KUfVp54GOo4S9vL4InOP6ZFEYs7xudYwMf6lFy+tbdl4DpKPbxc2EDUGmjnzaOIbDXDp0YlksxEZozVzs0Y5xSC2AnmS393YG7Amiq6hU0AFrDY2UeNVis+sa1mSt63XzYIcaa2l82YYMeoImlWvLcCTCAFHRUHsKgYGgZZRCiV0+v9XHzuR6ZnUgpr8mJYhvMaB8mW9VhrUu1w03pCTfl4M3WgV04zQitEqeacv/b+xRD3FrrWrp0L1U4QjSi7vLyk4CfL0Ocrdt0ry6LTxWTmKbgJTAGiicDbmwvsaO6NJYkAkVhrHMcx9LsVjW9twQ23JhNCOKhPxZ1rmtnT67okvzoiaV85mmITYtfwAwRpEJgnytlweUozEW0/juwaJLSoey69Qa6mqJmq9Fr+K+06W1bkIsaI0HN7sYgQ2W8xorPtQr0vrnQgNa9C5RDecFlWQUvKTcujmWa5lrzbagxg4jeEbQaAs0PzwUVK0hlGb6ca+a4/7GUkGWAJxluaAnGr954ya1lLbdjzKzk9e69m/dyye/h95Xrmzzws4FNoSeYOI7iccwlfK/NWAm5a3KKu7IHJ87nJGKH668Pm0POBA/fFEYUrHhtlmi3kvfiXFh2JLOdRuDThh3rWjpk0fYa9LE+7KW3IN0asNYqCBS0aez2z0SQfdcOtVHCRJ0486Uaiw+kDRF6VtF4hslVAWbc/H/jaWSbsT2nEO76TTFCtn4S5MRsSD7a1vxl6S5T1M3DA/duKaCYFORpqp83+0TkJvt19Ys1xJFC+mlXtdy2Ne2TW056X3Vsr0aKmebLm6fojN0pXdDv3/BMu9Jh3MsQ0Hp5Y0Jrx88XNomJcjMrVNr7IkPXswNyi6bpgQnSn5DWUVP1sztQTfYoUgT1imPAVZquadbjxSFrG1RWQdPMB/4NTMhFdtz6fQajaD1qllNLRUhL0izl8ymZIIwu/P0V3j3O94NwN7tG3ztVz4LwJpc9q2iYPOMq5S4efVlbgjSq7h2hR8ZOL/J1IZEKoSWKHGNlT1mmuVBx+qyCCi32XTqb5QTRetlO9OVrOQNkNdEdCml/qBS6rPAXwB+CXjSWvufAe8F/i//hr//7wE/bK29CHw/8HeVupvcxlr7v1lr32etfd+/4e+tZCVH9EndB4dwJf/nkZVtWsnrKUf1aWWbVvKvLyvbtJLXU1a2aSWvl6xs00pWspI3Sr4eRNcW8DuttS+337TWGqXUb3mV710HHmj9fVHea8sfAL5PzvcJpVQO7AC3X/2S7iJ4OuGztijCrZoSShcVv7GfkV4U4nnJHtqy4eK6y8yMi4qHui6i/WzThLrqm7OKM2suIr3wEf1Fw0CI1+dlg5ZMgbYwldfrnuNGKQpBE+SZRgc0igoog0jemxnLnmSzLq0noSZ8ri2lHGskE9/v5CSSEd/oZuzWLiM0jlXIoG5IID22OJIWoGdVQGmVVcOhoIDqVO5NKw4kg7FuFFfk9cRonpfa7163wTQOQZJJlL9YLMIMVGVBKsiAbre7JDQUsUoHYsPjPpQ6ziPwOopSiiRJKMuyRQxpA4rLDfExPVPR8q3W65dvLEjOS229lUxvWbO94eZ9VlZsS1bwWtOQaa9PJeeEIXNufebZsNYRIsjKBM6jWLm6foD1dBkTnteebD4l8vQSVgVOokgyy9PGsjtz53p4MyWRix9Zw7h0czmSOv/tixfp9dfda6ZUki1+6Dd+H7zpbUfGce+Hf5jtD327+6OTM778EgCP/OAPwsQRxW/+6I+5sbl6nZ0NxyN1dm/Ir5x1KJ347EU6ktE8x4jdXWcGSuGomE2npKl7xqpyQRRJRrOpAx/LktvzXhmj4/w5r7NYjnH0HP+9k377bs6nq/sFZsO9u1cKSsHAg5Lpu70o2Bb+rIO6DsTM1yYF54U/0DfB2Dss6Isu2cYGjhMFTCQr2Bf0g9KKSuxVggqXayyk8vx5Mvt5Y7kxdsc+thNzdtNlRF8eTankvIeCNkjTjFSuJ69HbAvv03A2YmEvAHDhtONLvHntGoNLlwB4fDLn9COOuP7UE2/lhhDP+6x89jf+JrtiHx5+5FE++bM/A0D80CV+6Gc+BsCnPvuLgWvF30+ed0JDjCMfnEiUei+deWM4KKxtljYQtcyGqgBSIOSslAr8IOEg4OUrh+RvdWNuSsnSNpZIoLqzomRTSJFvNA0DWUeujBZcHLjjPQ+cKQ07fdc0o2wsVpBei6JiJq8HMtdaq7BOpWm8fCqVCmuZX//mjeWqZNMf2c6DbbLKUot9mwlqMMtSUsmKb/YydoWD7jBWaOF/Oic2L3IXCkDXQiXnPShKpnK9ntSaSDGU9e2M0hzK6zsVPLsQHTLTE1C+tvUYH8vVHVcd29YntUR6vSHBg7suRt4+yUapJReZ0uG+rt6akkpjktvSA0RVlq0NN+eTomQg69y4bugKQvTauOCscCp5HrSkMKyJ35RFS9R3YywLWbv6okuRVpSeYy/SS3dA68BHFHkkdmO4LmvJpc0Mr3lWWRqZ85nYwUHcIRZk1vagw22vS5EF4VLqe6QYEIkuZdbSyLgNy2rJkynD1400e3KfOybmprigVa344kJsjzZ3+zWt5gtOVY4i2+Qg+Xf5nntG3ugA1DFdbtvEcIkn+W+RQ0YCV64ckL3N+QP7Y+HgrGFT/KbJoqAvvs6uachFn25MSs4O3Fws5HmMioaeNKzR2qA8QbaFidiQNdGnJNIUsk7leRo4uAwEjlzPRzuvDVcENf2mnQ6pzEmVNChBuPjzR0kS9OnUWo+bwqH0smlYF0RXT0xJ1PLDO8ZSeaBQbVkI91olfvTBaBQ4o9aiiKms/7OdM3yleE7GdalP5cL52HGaBYTaXQ0p7tI9lvPV4lFr+8SvvyjHF2pa+qvUPX5Ph68sG8SYcOzV2xM6T7j5vzl1z7etLWvr7j5mRUkv9c0KLB3RpSuHC86K37QQexzPa3qZ+FKqCQgyY2Ama9q6oOriSFHK/CdZEkbYoALJvR/Xoja8Itufh7czMuWvx4QKjKn44oNBJzToOLXe5ZbsXYcRzORZSX21Bwola6qazHn2M78CQG/rFFe/5HhM33zG+Vj26k1eFPu3/cBFIuHGvbY/5Oe//BUANtYTvuM7vgOAT376MwBcfvE5Unm+ut1OmIN5XQe/xDcgK8vKL/Ei1g/KSlbyhsprBrqstX/8VT77yqt89TPAm5RSD+MCXL8b+D3HjrkCfDfww0qpJ3BtWO681jUtF9d7bDTu8hs10CqTiDYAiPoJz4iD9C7xTlQeMxEjVNuGnVqct7qmFvK/fhqHLj2pEP41mNDBZb4wTCVwFiuL8kEGX/oTK4wndC8rMtmwl42hkAVp0CL2WxdjbPs5iXRgnFU1SspORhKAaMqCde27OR6ETmp50dCR7kB9Ifg8TDW6cK8H5ZJos9Q6bJozXz5pIPGBuUizLhDev1AlLOYOJlzYMhDQBlHLObLARMjeNze3mEmpSTj0eElFcO7Mfd1Oaq3pdbvEURTGIM2yAP9WrY5sS7GEBdfWEDsnTeURL8rFPiYbJNOJ8c2SCms5KyTNa/OKuucWhPVOGgKUHSvlk7YJm8XZvEb6I5Co0CCTcWgaoMKGtylLMiFWLmsTiKAHohdg2RB9Uv0OsZTxFpUl6cj70l3yYDajk8mGZjjHvOA6tjx47hL84i+40z3yGADb73svyCJKr8PDv+Hb3Ov1AaN/+A/dPb/PEabmWzvsSrlZfTjh9A33yP9/Ns/wsgTIqrqhlCCJf4yjOKapAwCcHSlju3XrVihj8YTpjoT2VwOFf51EHXf29d3O5D3FoGXulFbcFB276IPMWcyskMBkWbPTuGPX5zW5OL2DPCGXbnQzsW2lbUjkeRqWZdjoJxBs09xvILUOZdNVWYUuZ8bYELDP5LqmtcVI11XbWycX29RLEyohYE0kSDevamJpTPHcC1c5s7kBwJmdU5y+4BoX7I/cg/Ludz7Jpz/+cQCe/LZvJ47dc3Ll2efJB47ScTEcAlD3epw/44ixx88+y4WNTQD+zI091oR8fX1t2VBiTT4vi/LYXrH9x6uUdhyR+xw0DQTA6mhJru+QGa6h9a+1xy7bzVXUzfmqzMV3yt5lquFOIXYsSenNxVbMK6yU9KhYM/M64su/EsW6EL6/cjCnks+TJAnJAh+kSJTCyuemqkLnqrKxy7VObJOxljUpldP9nFT0aVxU6J50CpXEyqIoWI/cNezNDkKJYV40dKVc9kIpv5VGGCEj7pQNRgZoK03Zl3Ut9vbDQiwbk400Ds/u31soylpoDFRM6Lp4YmOC48/71xskba0rr7sowjW+FuH9SZ2QbSUbUdCp5ovSpfpJT7ScJnie4sI0nJWucpvzikYarax3EjqypvnqvMYaepIYm8zngSA+Ue4/d76lLvnNoq3qUJpYNZaF6FJH/CaDpS9jqfs5iQSsJlWN7nhibqdftydTdlIhop7uoWR9zBcNmTwHlXTcnCXalcEBvdIEG6uVpu+bJ8h7SlnWJTCRRhE94bP4U4cLisrrkmqpx93PeJ4mFBLctSfpzK9qfbkfcmy9s3e94OiHrUCFPPcqSXmxdu8/IkEIm8LMl5Aay7b4TYtZie3drU/B/8GEJkrj+WJpmxQkvvmAD7wri/HdFYsifK+pDQsJgPVk7THWsi5Bn3itQzR2a1lRGAZbbl9wOHI+7c3RmNPiN92a3EH5zOOsoieJqoEEU8ZZHIIbedkEn73RilKa7CTibycosiccUXj/+iuMpIPef//cyyxKr0+0nl+f/GuOBd9f5fk/Mm2KEJUIwfn7pWve57/X+Y8FdnW6LF00y0AX1vBlaYrxlmCbIsSVpGgsp/x+bFLQkz3doJuS+w7U8lsVhk7qdamh9POgbEjOzMQWJEph/PNfVWSBBsWEJLTvnN7gaEwA4n6OFoqJUWGIjq1ztydTdhKn7zend8I6Fy9qzmy6a79x2917FetgH3s6Jh9sABBlKXPpbD6ev+w+zzL6HaejZ8qK4R3ng//EQnPpIec3jcf73Lrlmmp1cqe31hKoEaqyZBy6xmraFBxhHG1Lf/w9xzF1KKVdyUruv9wvrwprbQ38P4GfAr6C6674ZaXUn1RK/TY57L8C/u9KqS8CPwL8/q+no+NKVrKSlaxkJStZyUpWspKVrGQlK1nJSlZyXL4uMvp/XbHWfgT4yLH3/rvW62eAb/3Vn9nH59oxsVZm9a6ERRt2a6E4AKA5yPja2Q0A3ivf2d0dEeUyLCpiLNHpJNbMJaq9vygwQ5e+PL/houILa7h16KLmA1OT+pRlElFKy/VSrnFcGXryGxrNtPIRfw1y7MKXO2pNKYgttTellOxQrRQjKWk86xKTFFjKnmSmI01fzlUMMl4QEsPIunM9OmlIJHOt4iSUuGVa86hko7qSJqubilIyCdcj+LJkvp5cNHxFsiqOoPBoJunoFCzLT8bjUcia2nbE/8jxpv3V+yZKKeIk4Xu+89v4zm91vRL+mz/9l1DDg3t/yTZLeLcysHBZDbPf45kzrqTnrZIpunlnRCSPWaQUM0EWplpTS1ns7rygORD0zpbXJ8Urhy6j1zc1uQxH3k2pZS5KGaNxaVgTmFesIua+TCfWASFUSuZpQ2kKT4u5N8HzK0+NYSKttvsCr2/6M9bf9QgA85dfppCs0Hx8yBe/8BQAH3jbk+4Eb3/y2CC53zv443+czf/oP3Jv/dW/7obvs5/nnLQtfunMFl+RkrWdFy4Hwtdbo2GrHNFdl2ujvoS237zpsk06isIjH8ctRNeRko+2Et1P7LQ9iqqxcCJCIlyPRoqrwFqMtHFWow5PDxxS8FwuJODTAgS5dTbrgJDgGtvQ5E5vDouK6rYQ2u+4UsKFMexPXLZ5E8vMw9vjKCDg5qIf07KhL+jPBM1CdCKLNLU01RhKs4LtKKGQXu3Da/sMfQY51kzFJq2PlyW5+rS7n3e+4/10hUB1PDnkjtRr3D7lEHpPvP3tvOutrjT2pz/2izz8zncAMPvSU8yvu8a8DxwM3b3FBwwF5v/Sz3+Mr4htOkvC0weuzLFpSoxHhUim1TRNKAlojujGSVnre2XA72eGW86vtNhCQafoJfZVKRXQJcFeKt26pAZqWesOU75y3iHn3pm57+ztT9gStI1uNAJ04cE0YbblkHMHoykHN5x92173x0Ihurdu61BKreI4oElnMt6zytATpGiEpvAE81qRyvO9EKTQmo6opDtCfWfM3CMwMExER/KRlDYNUoquNFDQET3JxpeDlBduOd26LKTUH2wMHUFxvKwVjSBkcqV4OHd2uudJ8k1NJYjmmxF8Sa7xPSl8tfGt1dvI5a8DHRVMli9H+3r16/UUsYGvheaCexyjwEizndGY5x5wNvt9giq/uTsiFdsU24iJ2FgVKawgl/fmC+o9d46L2842zWzDjaGrf+w0NbVHlmZJ8BF8WdqsMqHE+l661Ig/clyXFjLGU2tCQ5jTvporgUL5ksiIrvzGYj3nhVfctSXStODiaEEkyMY6jUNZ0maa0BWi8HOCPqrrhrlc1yuR5Wnx3Z7MY77mIdonoUKtIYnduTzRfOtDuWj3HY3F3GW/fo3kGBroLuJ8B+OS19rRiACmqHhGqiwe68patz8mEWRyTMTU+yxao0Sf9ucF9b7Tpwtbzu+aW8OB6FNeV+Ga1vodcpnXmfjWs9KQSHODxmgW0lgqjjSZ+M6VrFMbUUwh/uv8xmGg+piYpT6dFVSaMopSL/WpL+VtxU6Pp645W5pJ2djbDw1p4V4XaYKuPW0AXOi5exrIGqy0Zjp29zZ+5xO8JHbsg6M5T+3duHsSvL0xTev91pp1EsrrXuWJxwBVr7scKZk8/qMniKk4clHW6ZKdH3IldmTq70jd+NzZnxBl7sITNGOxEQtjA9ru4HBGX/ZhF0WXokTzysyhrfK6xPry5TwlFXRW0VrnkoAwVVipioi0Jo88ilV88CiiEJ92fmsUUIdTa5hJlca2oD+TVFFK44KEiIHXpY0On35uV27ffX7RaOxCKn4oib1/U5a88wE3Jg8INcDe/j6HYpuemY652XO+2enZhKcFeX/x4ln6QlFw/bOOdUhhKQr3ed20q12WiuGbFp24D8Q3evCfreoYV3L/5b4hulaykpWsZCUrWclKVrKSlaxkJStZyUpWspI3Uu4rouv+ynGUxknRfx/Ha2dgDVgXkTZ7N7g8dJnFobQAztc63DSeUFeTSrS9igxasjBlHHFVIv0eSRPFEbEgJZraBnJbrUwgYffElnVcBSRTZUzgxKqNCaThkW85ncahZSyNBcn+TLsxtbw/lva0m7HGave6qmsk8Uiq4ILUcx8KgWFTN5ySDGRtwcrvRRYyyQTNhUfAKo0WDrO1xvAp4RT7V4djWunqu4fftohWW58vFnPunq82P0mb88Hc12RSVdfc2d3jH/2Tf87f/ZEfdZeqjz8Wx++xde1KLzNn40O+dujGebLu7qU7yLktGaReHAV9qrVBSQbJJhHXJIuysRB9SmIiSZg0tQ2trwfGInQhZCqR7y/5qKqmDrpTGRPIeSPPQZfEpD4jXdSkoiOTXgq1zxy6+3/n297L2sChbJLzmrzrnpXxbM43f7Pj22Jz88RxHX7ctbve/I3fA5/5nLvOly4DMLt1m6GnBrKWfxy5rNHfv3aTpnQZT2WbgOTy0uv1Q9tmi6UQstVuJw/Z//HIZTzjJG3xACjanG/3HYlz/Fm4F0ICcBkt/4yk+AxXs7/PlY11AOYDISNd63JDMoVraUS/cvM0jWwgitfdjFtim7bmnrg7YcCSV8F3xtZKUUm2MfF8KaoKGfjSNoG3rjKG3HONePLUWNMX/TGVofL2cbNLLkixQjhz3veWN1N7EmAUc0G/NlZzIPxZL3zhaQCe/B0/wM0D127+N/w7v53OubPy+Rc4LTxwynNAnTlFLlnVR7d2+Nu3XZbzC7Hh1uc/78Zqrc+6EBs72wPr6+sshOT3qJ55LqOvV+4zgsJatFYBkWYMwaY6arGTclVt3fb8MHs8v7cBwMEF4fnoZ9yUj7fziIF168HNyIYGENNIMRVUyXbjkBRWaw4ngsYo6zAEiTIYyXR7RERhl5nwCoNQEbq1zn9R7JVKIxKxTdWiCbbL9BLX0h2oxX6uFQYrKJyqqRlP/DUozoe1Tua3LkmEB6qp6/B7pYWOX+vkuhpgO/WoP8vHhaPzJ3f3WPLVeBtybKz9cx5QeByZn5NZGWwLbHG/OXDU60MrVxzy3E1nm0aPOpRfb6PLHc+TFUXEM/dMlbEFWefmUcTYr3OFmw+VxFiZ86Y2JJ5sqTaQCleW2KaFKoIulTSkHt1uWu0XPH9dstSlumjQft3opdhA+Ow+P72wKJnboqkpBLGaWXhA0B2HQ/cMVFXFGSFjLi0B/ZWw9F6mQZcURhS+2xg+Kb7bR/d2j83B3aj2Usbs6Hwd9YvcO/eyV/ebAcT7321f6NgRd+m7ZemL68CxZMf7vDR0fsR0y9np7lqHvWbJaev1YhJZtIxNEWluzN28eH0ijvGM7k1jUR6F0zQga1Iu3H4LtaAxfhxtaG7RGIPvxh21bZMgCMuiCeelnwb9Lip37HZhUWKbyqbmYOSuMQceFJT14fNunTK2ZCtz1zOzYMVuKmPC5mxf/PBorRcQSPX1G/zvz18G4J++/KKrLMChRvOO09lUbN7wYK/VzASW6C3bsk/3sk3ejkUnfP46isUR0t/1Ju4afDOZNhLeX1MbhVbPeE5QmIcPCWn6IGMo85zFmliAuablgy8ixVR0abNw34vMUpcW5XIfUi4qUiFcD7pk5o4LDUdAr2OPpjPh8fa6pLOIWHSpKmo/daheGmzhQlCCvVmNFstS1jX7LV165JSb5719Z1cuvf1JBofu3p997gWmU+cf9wzclt9+8FHHqZtlCQ8L+toeHPAPbg0B+Onbtzhz2j2L169d4akvON/d31ua5SgZ7yRJmYjP17YFSyRnc6zoysr4tFziFVHRSt4A+QYNdJ2wyH7dBMKt923D1a9eA+An3uagnR+uagYCR4+UYk8IDbNGYQX2mW/2yK0vR3Onyq1iIIGAm4wQtDGxAt8cT/sqkxqsLF6V0ku4vgW/NR/IomzrBiVGM1MRY4GbamOIZSPbmQhZ6bhEn3bXkPZSjN9HjIrQjWMuJZOL0QKFlChpTSXGq8CG1nUDWXhiYCrvxcBvNO4qf7Ieg/WGriVHiJPv/vgoyW37e+L4sOw65Jzz+2cNrTUU8ylKayK5XwPHAiPHdMva5aKsWjdham4+PwTgI29zi8V3VDU96aqjOxGHQZ/A13dlm73QkMAHFjKr2Oy7uXxlMqKUcoiRMWSyAfDOe1FZEtkV1ugQZK2bZdmMhzzbukH2bqTElML4q0xDIuVIFzfOATB87iq9LRdYGF97mZF0YHzfB38D6sn3vOq4FlfdczV79nm6ovc35VrOpClGyiAt8O/mbqx/eDFiS7oxlsWCSo5RskhPpxPOnnMd+m7dvoXfWszmi6P6AtRV2bqatg69AeVm0PqNlp1qb5DVCd+xNhD0YuHWVVea+YtvdiVnH5wNQ4BHK9jz/QWqBuuJ4Lf60HGbTzEbbCYJM4Gm31CHIUAOFi1Rr0jmqK4tjXheNSo4NTGKQsp31jIJsDaGmXhxkdFYCRBM5gWVXM+5vrv2Hj1uHTjC0+6jb+Hso66T4tOfe4rzO67jT/oW997VV15hTYJfe7MZZ2Uu3/0tH+TFLzsC3vUt93xVownR1OnJLvAbZWP5yflUSjZgPp+Fbra1dBT1AdEw/qI321tbFFIKOfHRk3uIUgrlCWjr+lWP/dcTtwF3U3DChrLVbWr5WZvQN2odHHHnqis/+MnegwB8qCmpZK3baxJqmdeusWSytvQ3euwl0p3Or0k6Ilp3tuDFw4NgbxamoSd2sa79bt9ifGMOpWhC0saEZWAgv2tqE5Q2tRobyL0btOhT3691w4JYHP24lyE9PNDjhQuSAIUQ5l8bzjkn15VqTSWbnhKLPrbWJRDKhyIsv1M8pJ80C04uszjBY2/NiQtSvpq9USfbgtdd7DEbCG2C4JPleBB1mei5feMmAP98TfwmXdET22TziH3fjMJYjBDBb270qJFEjpwrNbAjDSauqUNq/5xiQqdEJY6MaqARXVJKs5BjbWM9RzN9CRrYxmDEOUvQgeTbNE3wm9anPtBSEp9x9jHtZxi5dn04D7o077rrXj+Yh1BNqiOM2JipMSHRGUuwIgOmYhcy4PukLP+j6rgeHU+ktQMM7XG/W3QUhU3o0bXtjVjn/G+09OmkwO+JMZQalHR/xXDjeVeS/rF3OX361nJCV8beoDkQPyUyBiX6tLHRo/YlnJ68XylOrTl9ujoaBt96ahp6MnM+cEBLn4xWGK9PtfUMIqGTumnpU4oOpOCmrom8rRzLGnBYEJ9z15ANckwiSajDRaAImYo+TQ4WrGU+aBJRiz4VSgVCfC22qTMekfhu7mfP8js2nc7+0yuanpSYRVEUEjiH0rBFHVkTjoEDgp7dw99W7S3iG5gcPHINUUhOLN9v2S4dt9Res7/v/Iyf37oEwIeiko5ZrkEjWWNiC1aaMa2vd0NjAh9uy1BsSNCwwIQyZYsNSZbwww3U2oMbFAvx+U1DSO4MBFhg6gbrbZONQteNpq6CLq1JZ/R6VJKcdSfI1vLQxdAczpnItfvnv9NYorB/sBifxFzr0ZUE1PpjjwLQW99g8fIVALpVzf9Vrv2jpmIu+jM+HIYEm5ckikLjh+n0uH/kE7ayP1EcXfuO0NGsIlwreeNkVbq4kpWsZCUrWclKVrKSlaxkJStZyUpWspJfF6K+0SKrSimrVcRRRNfxezgGx1WtzEU7y61zEOiplozIf/94P5Bgz2+PUblHUFkS+d58cxAyRYUgZS4qRSPErOOkYTKS8khryUOZlmQVFUTy/TpRdOQcprEsBD6r5RoyNGsSjZ9MSvYlQxgv6lCClPXd99M8DkikPImIfDR9XDG7NnSvFy76/97egMNmSebqx6o2lk35bZ8FqY3B595+KMn5Wwfu3qgngaAWCGSMae4QJdPxmJMzjMdfgyspbX98N1rPYD5rrX0fr6MopaxGEUVxq4TpNdCCSrUyXZqgbzoHaUettxwa67+5GJFKZmV6ZwKiI9ou9ancGIRMdiXohvNKYUVxxnHDQtCEaaTI5TI8oMcoRSyXWMWWbrZskz2beX1aogI7krOaT2vulA4p0Wl0KA/afOQBd/5OSiPHXnzoIXL5XDeK7/ur/8uRcWz+xg9jHnOw6OQD3wS/+HEAPvVX/grv/qZvcr/3Iz/urmE6I+m7bOSfzjv8qWe+AkCkqpCZN6ahliYM7fLXSMbSmgZfsBLHkStJwj1vckAgGzcnoPIMFmvvYj/9NxKltNU6PoZA/NXUCqlllltFIG2lo+0NAH7wgSjYJrM3pRAV1NiQpbbrfYTHlLU1R1B/VmtKUZZpUjOTsrPKNCQyLj5B2ViCLi3UkmDVGEtderJedz+DJKXjYfWzmttiuwYqYX3gED/v/a2/xd2Drvmln/pJANYvXCQTZNWpzTN873/xg+4HI3e/i4//Ene+7HTi4OqLpIJgVGvrxJLNf/GaI9995Mxp9NCR7//j4R7/cOL04NnnvowVtOlksrRDtqUfbYTKEf3wKAEZ61M7O9zZ3ZWvnZyVNLa+P7Yp2BmZJxS2nZ23HuEipRK29RrN0malYa1TPYc2+CNv6ZJI+cL89ggtaN+tWHPoy8nW+yGrWwmia1A36K40fUgtlZA4K2WXEHFfjYUN+kSqSOX3GmNYSHlk7NcbHZPZpT7ti77p1lpXix6n3STcWzeLifzvjUuKKwfuDynpf9/aelg328ABYwxrgpbIPe2ANeTy+Y/FGf/b7p77o7kXosuLbZXS3Iusvp3dtq2Pj9oHY2qsNffHNh0Rewzg0X4eTpBQNZQvEc19h6z8b9/WQ0tZVXlrhJF1LrKGSMalWR+E0nMja9QpLEizglncMBa/CWxAk9L6J/HjliqyxJeYGhayjnn7mKqIXHSpmNUMpcRGtXRpMHDfT7tJuJ9elhD7xgSHBeVLroRai9/0+KDPJPhNOsxjYwybMr55KDM2pDKWf7sx/NCe6BINr65Lx+UeOuT/bCPBjqCoZKxNdX9sU9CnE5BoR+gCGu4WDSpZ/il2Lt7cAeAPv6UfUDyL22NMJn64tURyXrW+FmyTFX3aAaw4SLPYUAoSNI4UkYyHDqZ+6TeRWDIp9TONCU0AvD514oTMip5OKg4EZWxnFY2gd7a3nOXIe2mwBYM8CdUUZrhgIQTisdenjfWA8oojjW81UtZNsE1b/hqNpSdj/deyDn/lqkPBNeXYIeTcFS0bPd1V7gdHkcFLnEMiz1JVVfeooHBoPWPN/fGb4vw1jjq+X4Cj5eH+/eU9qdT5P3/wyS20L6W/M8bIOpdgwxpvB32Mh0tJ07EzypLL3qrIYHgoJOymCeucaq2/3p9XCWTpq9umlKUuDX31Qcs2bawLkjDRYW42Oknw06qDBczd+9unzwNwVimSjrvnYm+XK7cdsu3Cgw+ysy9rojTjOTc8JF7fAODPH4z4X152FRh1Naep3Z7O7YnE55dncWtriz3xheIkpiqXpYth9fCVMaYJOhbHMXXpbbvC2z8Dr7ttWslKjss3ZuliG74KrwnvPlp+ZpYLrK0gE4jxujMQt8YVZ8SJ7zSWSjZOaaToiJFYLEoK4Zvpyea/f3Yde+CgnAfW0JHN2WS6oJDrjRK/M42xYtHyJAEpY0w1IJ1m/IZdRxGF/Ma8qOkIfLYxMJPFvy915FkvwmYCVzVQLdy1N9aipJvfm3clUGZtKBOxjaH0v4diIY7eXBaSbaW5LRb2rZ0Ybg9l/OowF1mWhjIYF+AS8Rs123B0jo451UqfvMAq7rHwvr5yN0+PF0sskGMbOnNZToRQ2xKVO8e/t+kWqmlZEgs0OW8slQQZskiTiT7NFwvmsgH0nV8GZ9ephq5T3p5pljxuZcXcz1Xmu4PGGDwHQRKuPtVgZVH3EOJGwUzqahfziq44Wev9HrUEVLripBWjIY2UwV390mfY3nZlBQ8/cImv/M9/FYAn3v8hAEoUwy+7TozJjevs/pN/AsDh/gGfespxL/UedAvyE9ducm3u7u2bL11APeOuLUkTJK7CojDEMj5d6T40OhySeF65qgxdPKuy3VXIi5UAl8hdHF33Q6zDqivFq5ZtuAuSf9sbnnaJgaa/tQFAtCO6NFuEbq0ZCrVYBveUBJ9006Cl3CKRec7PrBGN3XgPMeRSQlOMC8biyHQl2B5HcXCQO0kSxjDWYCPvtMj3tQWxTWbRkJbu2jfO7tCsuzm7+mU3951Tm+w86MpO0+4acwkgzPMBX/jpnwbgnQ897q63N+CBD38XAA/ceSt7z3wRgK03vY2Xfu5nAPjOb3k/AP/iX/4MD8gYnllbY7rrAmDT8QGXLj0EwM7ONrfv3JH7EFubZAylfLEqj3U281wS8mzcunWTk0TpKJQpFeX9KF2EECgNvFztkg7Chsq21kJ75LtemhDo6gnvUDFtWB+4Y3oqYjIV/kdNKHUYFSULsU0DGY8L59YZHzgbf6dacpfUZc1M9MGvf3mSSUdeZ5s8zVuEQvlyavl+pcB6zpRZSRZKsA0TWdf8NWRxhBX7FzWWplyudXbb3d+TQ7FtWtOVMsbr8yKsxxrXkRSWHWy3lOa2rMeXEqAR3bAtG3OPblLLDX0rcHrEBqm7X6v2hN3nda4V/Ai/fWSpa/tT/kX7AB9NLKFzGoDOwNma0bhmRzaF2kAtuhRFikSekXFZUkswoSvzvHlunenI6dLQNGTiVw3HMyrPCyOLwiDLQqlgFqVoz10UKUg87YBPJioKCUBM51XgMKway0Lai27KI5unCUrsatxYmrmsK8ZiTrmE1aO3hZPOWGzsy9YMtQ+gAzOZa69TW3qpS4/nKexWy3E/Isf/bvsXxz/268oJutbWy7uSha+3tEoX2+Vv4RpO8vXa0tZ1DdJlsisb/FlhWEt8whUq4XyLtSIWIzIrCiop++uK3Vk7s8ZM9Kk0Jox1WVbUok9eH9fyvGWbsrA2YAFvmzxHpbIYCZaOpkUIuA7nFbbvrj2W6c2TBC2di6PaUklypjKWWkpkH73jDm6ahrn4POvGLDsAK6ERAQ7EDm4qzS25xnef2aR5/msyfkbKE8Fas0zGvJbP09Ixnyg80jG6Tflgzb3t3n2TdnDrhOv3z5Gpl5QP2PA66wkf2rjh9MCPhaIWXUoiRUfsxqgsMWKbcpnn3uk15tKtemqgIxw0++OChadyEV3a6OQY2UNkSYaW/ZLWlvyYbWoUFGL/DmclsTw/dWOpe2JDfdfFbkzlyxyjiIXwr1bGUFROz7/9nKMaaQ6GXB8fuvu8cyd06JwdDimE6mFN5nCMYiQ++JOdmGLu9q5JEtHIdZ46fZrRoTvffOaCXwf7+6wJbUGUpOzfue3uf3OTxcLpeS3jZ1r6NRgMONj3ayncG6SykpW8/rIqXVzJSlaykpWsZCUrWclKVrKSlaxkJStZya8L+cZEdKnjL45HhZvjBx79sm1lwAqJkNcOuXIuT6g7LktUdWukGSPFpOB6toz4J5LV25QKg/HhglIQDeiGxhOzKh2Iwn0xQjeNmS088WUdyi46aUwR+yyldFdpYCbZA9tNiAXFkZMgya9Adh+hsD50Oa+JJdtajScgJL7PS0ehh9NuKCNIUAExpI0N2e1tyQj2raWRMfvROcSJy5jX5UHoJFKWBWnqfq9oIdV9d0mtdavsZ5mF9EgEdXwK22UUAR1zn1ETR/5u/yloKE/6qtoZptZrlWBnI7lUl1U6008oBAo97zX0JSM3HxcMA/KmCF3KtmTMR6MFZeU76ZiQeZrUmtTj7QUKnWcpC9Fj1TT4towKG1ATvkNV0xhKfx+9BDNz5yqKBeu+vHHdZR23+2dZ1O68dtzn5qFDxfzAH/hPSR98xJ3jEVeu+LH/4c/wvu/9HgB2P/VpXpTsTtwbsLG24a5T0Ce35hUHMzcmf/PWIWfOuVLJTlZx86bLEJnGcuqUK2MYrLkM0mw2ZzGf+0lhKSdlhaLltCgdUEpRlMg83udM0hESz5OQiu3Md7uboT+2cc8tEG86XdrMI7I16QJWGPrSEGM8KZiJLq2XNVYQEH68Dw5mNNLlR3ebgLxEazr66LWlScysEIL5xuCZR5VSRIKq8SVKCuWbElF3Yvanbm6qWzfpTKQL1tRlHbPDPd76vncC0DeGL+w6lNT41h2acw559dmnHHJrx1g6XWeP6+k8dN8rrr5IT7oujp5/CYDTu7tc3XdQ+qe+9UOcPX0GgGe/ArtSKtQYw3zqspcB5WcnZGLPkySlkvIBpVSrJPGkjHILL2VMIDa/X6Jw5sa0y/FDlt0S1roTy85a120N1G4MFjOH7j2z06GSta7uNfSlGPrgcM7UdxMuq4CgWBO7sjecU8taZ9Mm2G6DoieLkS8JSdOYuaxZdV3TeNVToORYv9YZA6Vv2NLPaCbO9ug0YVMIwmMpl4pQKPlhVdbEgqqoxiUIavYZKavYyFOUzFNXR1SChomMDfO3JePUsbAhOv8/zRQkDvFNdcBRHTiKoomiZImKOI6aOkmdvNhj6J3j33895bWQ7+HnjyFC7j5g6TcZ95yezVNU370ezyr6gkKYjubMux7xUocurxtimw4P5xRCvGw7jWtIgLPZHSHx9gicJE2Yi99UN3XQwVgrlKD7Eq9LjQ26pHopRkrY0izlrJQsJrLeJe1y4HlNJH5TeViCdKm+XLv17ELWxXhkkFIYX+bcmIBAC7rUWDZlLH90POHe/uqvYr6Pk4cfn097zz9eZ2k9A0GOX8sxwu7jx3h/TuXQ+M6FbgzXVURv0yFy9mYV/XipT7WsdbquUbLWrfuuy4dzirmUReUNffl8ZiJ6os6xNP5J0oRFsE0VUk1PpHVAy0fi51vjKDwA0kFOKbZp0Ms5syF+XEufAuJuXpGsiT4NC6Kx06OXpTTybL8bSmW1WjZNiBqDFX3qi1M/YIn0+R+//MJyRNXSzz4y1uFly4f2f8sBngoiFtRusViEebMoVHCi7jcm4l9DV4M9Pdat0UjDErEfO6mmLxU7w8KwJg7FdLwIFQu6KqmkW9ia6Md0sqBeyLgmKuyX4igik2HxtilKYhrxMeuqCh3vI9WyTS1d8j543s8op06Xsixlx6MDRZfSNEZLabeZlmRr7nrLg4Jc9Px5QVU9srXDQEomk+s3eMF3ux2P6UiZosrc99eqfW7ccM2O/tdpEegOqnJGKn7RdDZbUoV4RLm1TkeAxeFh+J5pmrD++W6fzWIR/ODR4TDoUppnoWP6SlbyRsgK0bWSlaxkJStZyUpWspKVrGQlK1nJSlaykl8X8o2J6LJIhuKkFGnr7/BxCzVxhAeHQPj8oCeXP5zTES6KU43hi5I1fGRngJasU5LkVFLbv6tcZP7htQ4jgTKlNgoEq/1uzmg8k18WpI1VaM8DU9nQkn2xqEOb9EzINbOOpvTk+Nowkih91Il9V9rQ9halaUbuc1tZjEdYGBO4vR5LczlUhVa1hVKh3feGsoyMz1i6392l4Uuel6IqqEsfjVchi9HtdKgDz9UyY+TJNbXWIZt/hFaCtrSRCvKJjo/ynNw3OZp1VC0OFXtS1tTDGJQhoCqMgbgDwIWhy9iZNA61+w/Whi9KVuhNOwNSr0+dDgeS4dmVe310rcvojkPDFEBHEBbdTsZUeAM8GCfyv41LjOZCdFmaJiD8PDlmniWkyv3uQVUylPlTvZjFHYeyOS23O59Nefzt73K/213jLYLY2ysadg4d2qj+4b8LwMU3P87nf+5nAXj80TfRu+1QNo+8653MKkF3PfuiG5Nv/WaeE+Lyzo099p99xl17UwQOH2zDRO5zeLAv91YenYcTmxu0P1uiS7yeNk3t+Czua7K7ne0+pjsnZka9LiVH3iuMm8dL0rb8znTCKbHY58qap+QBfnRnQE/sURUnDCQbOJefPtPPmQ3dM1sY6Iht6nYyZh7pJCoco9CeTNlCRxTIKouYOlJBKCaRszMAw0VJJtw3CyyxZLRngugiy3jm845gvhfFIJntL135DDsdxx9RXrvurvH0KWppEb7z1ie5tO1QXIvbtzHS7nvjkmuTzVe/ynB7C4DLtw544YZDekVRzGzm7q0qW3rTQkIUgkppAzptiyh1KfdSlvvPL2GxR9WJJd9KFOmAHA7rmzUcRXu00YLu9UPy/WpSUAuXyE7R8LTo00M7A+a+6UmaBR63XTntw2sd9jzXIzFpx32wk/WYCheclXPFqCWBbtXQE9tUNCYgUjtim7qZopas+qiuWAiKo5MlYX78/UZoGnkuqAxm4ta6sjHkoqcPZ84W3zYNZeX5kXQgs95UMEay0PLevml4OvZoagN1i28ySBspJ2hf3zjjuNwDzHLkgOOcTfeVW+lV5Div4HE7doT03L16yPM9HjYkgjS+0FieFl/o0vYai2apS94O74paPrLeZbeQRisoIge8oN/rMB5Nj1xPBCjP21Y1dH0jjKoJat4VNEGaKWqByh/WFXNBmHXzhCr2DWHcd2I09aFH2C/9pqIx9ASacUGQEHG0RKY3LAmo15RiIgilXFAQl5uKr8nvEsW0OjTcE2Fz11v3ROCd8P1fC7qbtq/W4ndSwfNry3GuJf+6QbwYHhBdMFMwHTf/j8QRTxdubC+d3uRQOBWTJONQ9GlfzvXwepddz02pFP2esy2DXs5EbJOfBmUJiOWqMqERRkODEUckEw6wLFfU0RKxUwqIqNtPWch8+ztO0NQH4ofXUIseF01DT/YTF7tO0VUcB95BhQro5U0VsRDbksr+4MA0fMajWG2N9zutteRCQr6Yz04GDt7VIAdQKiC5tG8uoRR+LtQRv/t41cMbKfdQ7PYzdASFKuucoANV2TAdOf/nlLE8W4qPvbXGUOz2Wp4GX3hf1o9HB+vMGkHVK013XXiZy4zhyL2vbevZkzWvaAyZjGFjm8DHnMo6l6aaTNa+YVUuObg6cbBNhGqbiOJAmgDVlvLQ6dK4ajgr/Mdn1hzquLQ15dzd50vzGedFL5uDITeE23axdwDAm9/zDr7qucFeeoXTZ4Wj+uZ1/DynSUwkPLm+6cN0MqYUf0qxRHpNp7OAKvQ8inGkA2LaWu9bOWS38o0szP2q0lnJSpbyjRnoCtI2dEvjfTK56z0ci4UrNeutO3LVw6qmc95tnK5/4Spn+7K5Xyzo+bKyyYL1rnt/vOEcoOsHIwYCc827CTPtXo/HcxIpO0s9On5Rhq6Na5GmFqO3P1/QEePVk0BXXBvWes4Ife3mHRpZ6EZ1TezJ7cOtWawY8WhaUvhuZdOKQja/RqDP1iy7YWVaBcj0IdCXGku/JY+UopBSos9dP8R3SDH1Iiw2s/k8wFwjMdZt59/BWltlNCeSS55UnnM/ycPDD8s/KvxlW+VBzV3lSceDrP61htItRH3pIDcsa868yZG4X/vMS5yTsojbZUlPFsbhdEFfSogWok/X9g/pyf6824uxoiOz0Tw4Jz7WNp0XNHKuPpZGSFxHZUMu3+vJv8W0oiNdXOrJmFg2k+OmoSvjPx0dAmCShJ3zDwHwyAOXuCYlYud+42+C2w4unYiDtP7lZ7ginV1eOTNh+xFX2vhyVXL2KRfg8Ppqbtzk8pUrAHymTNjcciWKN6+/EMh9tdZMPLGmSBxHDDbds1kUC2YT52xEcRyIw7vSPXU+m4UytaapW4+8OmYj7pOcGNC6lx57XasIXRfRULhN9lp3G4C0nJGc2QDg2itXODNwurJbLOiKc7ZXzMhyKXU85753+3BMZ+p+o9vPqBIhTT6ck4ouNOKMLYoqNC7oRRrlyaEXJbnMdYC5zytycYSmBzMq0SUVEUqd5xJgGN+6wRMPPAzAg9tn+dKLnwQgKQ37U2eDf/v3/SYArj79FMPczePmeELvHe8E4AtXrnNJIO/XrjvY/YNnz9J917sBeGZ/jrnlymA/+i9/jKkEuu4mf/Zj7p/7ljL4ZgLHj22vL0Fam/8TO4u9HuLKR6y/xtaluhJcfz3tkqblNS6tlArE6rk8F7ul4dSZUwBcu3mVbdGn/aKgI/bkYDpnLfe2yQWOru+PyKRsotNNqUR3RqNZ6CBc+xLtRRlKvjtaY8Q2TcqKrpRC6qBPDbnYNjueOpJxoFE2JIn8vVVYrART4llFJWsd05JKxsqXmNGwLJtAhW5uIyx9I8FwOXukFXXP3efnX5kvn0fbDmSpMO0PPPAgAFfEnt0lLXXx5ZzmyHrya7V5PCbtfWzQ6WNGsv0MlO6ZTRHC50XJ2dMuIH3jxlVOS4nNQVXQkWkYzhZBl2abboyv7R2Se7+pl1CLUzI9nJOlvnuX+37bb+pohUk8yX1Ft/IBXXftxbSmI+uNnRRosU21MsRCVl2HAAM0UsIWTUtqKTVS05LC7zvFb6obE56pXC0TYlOgr48G0E6nKU/L51/cL/ABhCW1hv/142LvkSdRofvZstFKOzDfTuK+QXp1xN4s9cUeacLQWgtt+/qO2V0IgZ55YxjJ/B2OxnS7bs7ulAVd7zfNJ0Gf5utuI39tf0QmpfdZL0FJwMrp07K7OUCxKFr6pEOTgfGioCsbcT3wflMdAvLNaEyULG2TL2ls5PkusdS+E+2kpJH1WI8LKq9PvqmGMUEbUrXszLcwlp46ai+0VlhZrz813mNptRoKCf7pKFravXuKrNNKBds792vlETke3Pq1iKTyKtdwUhB+Kb65wKiqiHO3h5reHLG+5mzPnbIgFV3YnxeseYoR+fzq/oiu2Ka4m1GIXzSZzOmKLvgGVVWxbHaQ6Sjo0mhR0q2EBkB0sZjVrgkZ0EwnRLImGm2Xpdfy/FQYSmmOwbTk0D8/owUTmWYtJfqmmNMRH3xtY5M7+y5B/K2DNb78iktib0hZ5rWXr9E95/YlX/7yFR4WSohbN6+T5VIeWZZEvtma+NXTyST4h/3BIHRGd5QibaACNC0/2yX75Zmpm39rlr2V/J9DVqWLK1nJSlaykpWsZCUrWclKVrKSlaxkJSv5dSHfmIiuk6LB7SzkvYg63QHHXrq/n9p1Gcpv+cADgfB2/0wfLZm+0hqqgYv4b00tpaCXepLpu1HMObfmSLz3OxFKyrUGWz2stNpeSBanVDWNZPduLmpiyfhsr28Q+ZbCAqVPqooId65+LyORkhKtI2LJCkymDuVgpnVAIqkkQgsb69akCvBnT4jfNE3Ici/qhlyyR10FlUeYSaYwMZZ3S1tboyzUrZKfI1k8e+RfVMSJ7dXb3/PH6mPHemhrez7vV0JJSlsTQaJlec5CMlzLckxYZmRN63VbLD67+tnbDo30oXc8jhEkYHG2RylkumVTg5CUrk1MIOntCNz6RrEI+lSs5RRStjfY6tNIu+rSl9vaBiuw+1uLJqTAO2k/ZIZu3BEyXtNwu5AytsaQ+TIOdGh/vHvgkFIb/TVe+PJTbhymU97zO3/X8lZPOwQkn/wMAC9dvswH3vEudw3jMfmWg1Prq6+E9snDcy5rFDWG3/3wJQD+0ie+RDl3Wag2Ebi1JpQNFELcmmYdLly4AMDVq1dDprjf7zOdumv2pPPW2iWRKharPIF6Sz/vp5yIADrxQJZlZxastGBWSShh+sxlh156+/vOsi3zXJwbUEmmb1LXmHWXhTszsUx9qcPQjUmaKHpCumqyCCPlz/2tPpWQ6vqHqzY1Rshd94smlDTnWTfo1Su3nP70gZGV78eKLcmYo6NAUr+Q81dFzfWus7Hd04YP/s4fAOCdj7+Ty889537vjitXfPhD30oqZWcvfObT3LrsSl45HBI/8QQAdwT5+tDlKyS//EsAfGS3IFPu95qmCZltpVQoN4oEMdQ0S/2q65qm8aVt95ive6HC3gBdslgPQpKKBq9brRLcoG4qPBeuksgjkZZZ7y/LOH/grU+EhiPVuQHl3I1XZWq0dDpZHxlqsRGdemmb3jYQJE8WY2StywYdosqjCQTlYGqs2PJRbUIjg7VuP4zdSEozdF0zU9KiPFF0ZB2KiTAyAJOxKytLTbksaWutdaenTWj57p/5sjb4CrKyqclkHDpA4d8XFFhi4EkpXTNNBUZgtccQKn7ab926tRzf11igjiC5jtiHpW5FWt2nSn17zDc6JurYseG9ti91N1roK9Lw4YNPvIkzYseK82sgtmlhaqzYpsHYhtKcvPS6NOcdG26tmOQRpSBT1rf7VFLeXIkuGWqs2KZxbVAyqRttXdpz86Wbhplyr5tY0RW9S1VMJKiGoZSUJeMygKKiLEJL6dvpUUXsUayif1XdBBRM0TSk8jqDJWre61JjeK9/bpsFbf1QrXk4sRfBidNkfUUTtJtTnFitcPz1GyD3ctVOtJHHkTnu76/JmvWmRy7wFpnr+tyAQnShqEpqQQsOpnHwVVOZsxvFnHdsrgOg1nMWYps2dvosRu61lWqL2laMxDyWygbEZb8zCH7TndtCu2AaJmKbikiTRR4hGgU7c/vQ2Y0BRQAJ6ywmkrLL8+OGRNafrrdRtQkI07oxRN7nVopKdHYoaOFtq/hA7f0bc2SwrfipR2g2wufHqyJkj4Bm7pv7HEFxnjRfb1BVRZCTkFv3OP4ez8sze0MAnnj4ES7KHDXnBhRim4qmoSd7uu6kwciceF26VS5475bTpaqfMQ+6NGAxcn5GLfNV1RX74vQMIouWc/U7ay1dcvYosoapkj2h1qQy/x2VEAna9FD82XhUhjLGKIvoy350p4nD/u+Vz33BXdf5c5A7vymfL/jABz4AgP7CFzkliKyhUFVEsxn/wdudL/X/+tTnGY3cWKVpFipYlFJMhs43988G2KAqg8GAmzdekffNMbQmd+0PV7KSXytZIbpWspKVrGQlK1nJSlaykpWsZCUrWclKVvLrQr4xEV1B7sFHcFIGKfCwxBzJhkUuAo52kf07uyVnBc3TvT3hQNq9prmiv+4i6KOeIj0Qkj1BkKx1OsRSl71daA4kGzWdV9S+ZXqo4daU0p827SQ0jXt9UFsy4bTpyT2URclUztW3BumYS2ws9tBlFboelVPXIeNX1zVKsmA3qoq3ZJKZ9LxexlDIb/TVEvuijWXHI5DkZNci+HNxzx8AVriT2hlfa5cICt1CqLTF3iujzbHAf4tr4jURMa+DWAvKUAnxbCWZmxMOlH9V695sS/00ZC4DpHOHeLhzu6QbuaxIcnPCRLLbcabpC6/ErKuIDiTLJmO00e0ErrO1GUxEt+bzIrRN9wibNIqohTOip1Iqz0GhNUbQX7nnkagq9oV3YF1bMl9DX1k219y1b5zfBGBzfYt+5uY90glk3eVQvPyy+1cyT3oxY7zlvvfIQw+QC3fGi//HT7IlfF2X3v9uAH7pR/8Rf6QnvFOxCa28F0lKJYjFXr8X2hj7Ae71uuzvOp6w2WwWdGM8nmAl6+mJMjudbiBC39jYYDaXDFxVuTbezX2BTXCXTToCz2hzSbT/NSd+rjqOu0zLvIwnimnh7j+5OWEmupTnEWtrgu7MgaG7hsxzETWWicz/mSmMJVNczUsKD1i0S0LcTMjqs04abFelY4ygLTqBELriwHMCGsO6ZBhjlbAjHBaFICLKacmDQhrfTGb0Ntz8P/3KNd713vcA8OwvOmTWFz73eR7Ycff+6Ld9CAo3p2e++VuovvglAM5fd5nE60nMnxi6rPTlZ7/EfDqU4Vsim/I8D2ianR33u6YxjIXjrW7zByp1wvpxMg9Nm3z5vokFpWzgxTjKC3Y319PdZPoeUlJB6lCYUeZs03yWUMycbYpvjpkJP6DKNP2NpW3S++63fWZ6vdtBC3pvq1AMfTOVeYFSngdH1gIUaS7cjehwyUUU08ycPinP5VjVTOXzriY00qia2iEfgFxsYlzUy2YqZUU0cTpypyy4JFlthMNJmSasZV29nEtlLKfFF6hkHR9Gir9ghaNJL7D4Rga6pSIqqEgZGh20kBC2Ne730o8j69pSpxpjsPclC34yj82JYtvX3v5Oq7FB7J5llTnUcTVRlLXjhMlujAN3aZRFrG04WzDvgpZ1rhEd3ex3iWRtW1+oQFI8npeBm8tzvCWRIpI5rYmwcp2LKA0E8sj6Udc1s7YuieJpYyjFb+oIuiZaVMFvWiwqUvl8d1HwYNfpkvV8p42hloM7WhHLNUTGsiWjVIpy3I4Vf1r0ElW3fFB1Mqq4/d49XNtXl3tCwe6jqKUdOsl0HpH29bVtagPxhntXkLzpRJFE0kzpzhQExZXGMFh381Z0LerAn0FsU68bdCSdGJTM23hahsusRUcirdgWVH1DFPStjGOsVDAg/njV1Bw00jxDLxFSZW0CT1Mifm9mwMhALOYVmSC9dudz3tp3tncm19itCfrU1YpE9Ek3lk15XjfkvReU5Q8fei6tmsAbeBdS0x75565n3/t81qLEdvt9zFFH/I3WpbbcC+F1wjWpYw3G5BgdO381mquA9F7cGFOILsW5Yt2vcx1oDt05tJxrrdcjlWqbzlyhZO0ZThdBl5qgS5ozwu1VowOyrtIJdubm34ou1XXFULghM2VQvmmSbViU7thcUKeqWtqm2byi2pfmQZOK88Ld3Ahav6yKgJgdDAakQ7dPuzkah3XunWfOA7D7gffxLf/gH7txiBUHew7lbayhI4039vf2yTvunhbiiyulSMTPu3XzFXo9tz8oypKq8OhAmYYjSMJjiOcV0Gslb6B8gwa6XoXoWcFdhv5IeYAB5cvOdChN+J1vfwiAd3cq5nPpKqEVfdkUNpFGj937phsjewVKvzBpFYiXo1SjUoG0q5S5dPfyENXGWHIJONVoSl9KpGsaoab0HRyjJA4E8ybSFFIaUmJZ83ckkY+oNjQCu1VaoaVTnz6csyZdN7xbXluL7/FmjKXnS5RUxEycBh+wypTli3fEozhCyksrYBX+1wboH/lrSUqqsP43jhyqw/dVKOcyvGHBrte0vicQwFqDK1wAdBK6iPzut54B4HF1yER2bzZSdAXybiMVOs/VnZie6JMvaVVaM5dN1HqeBvLTVC/1KXTdbEwgt6xVhBE97NhySe47Fb2IYtJIFlwLI9GXsxcu8p3f/C0AbDx4CYCogbNPvBWA8XQGra6H5mO/4M4xGQLw5m//DmZSEvWlF1/g8bPu/tO3vIlXhAjzys/9ojv/YI3nZ+4a9u7cxNOxuiCUO/90Mgnwb0+OWde1C3DhHIvOwD0Bo9FhgHF7p7NpkYoPDw+DnqVZRpZ1GE8OuT/idfyEYMOJm9ujtkn7QAERVkqEf+vFcwC8OZ4wK3y9lqITeYdOY2VD1WSatb67hiiSLj9aM/AlzZEiFttElDAVJyxWPnBvSeV7VmkKITpNTclC5mkm79k4CgHGONIcyvvDec1vef/7APjCLzvSebuoiLrr8hs1V59xJbHx2mk+/ezzAKz77rKTMUPpItU89TQXH3YdFsuf/Rg3b90A4MHvd8T1nU9+kp/9yZ8GIIkVWjYSdV1TVzImTU3ly+5uOF001rIu3YrW1tYYHg7d+8a6rpzuQlnKCYHR4+vKfRHXddGXDlhrl4EQpcM1Lkmq7TEzJmud1i7YBfw7b3UBr0eTCYUEvZtI0ZG1TieKWsp8TBbR60tpjaybsYooxDYlWY6oLFmUYaQsJBJdr01DJk57rSIWElmNqpJaOh4uxAYRaVTj70czlQBYZBQdv7bIWqdqg4/4R1qhhazaHM6DLfRd0EqzXOussQw8Mb2OWPiuUDLnlTV8TkpesMWJwQdrDbGsp37TjPxi+x85+OT1qx3wDnr2Bnj/r1a+6KUd0203alimw0A6DP72N7vA8Zs6M+Txp451CEjqRNHIOmfzmK73m7xeRlGwMXGeo8U2dXXGUBpPxF6XGkOaLkvtS/GRVLMIa0glvhRxhI/S61gzE10qrOG0J5Iuln6T8hF/rdCS3FTDOUmWHrnz2pjQGOGI3xTFLMQWavFjEixfGonfpKLlWY77NO2kGXC0WcoxH2r5pdbnx997I8TbvmPPxxHdOZbUsYaj9+jXyjjo2W972OnT+3dgIb5uESlyaSag0yisdSaLGAxEN/DB6Yi5JEbyfg8tmeF+nnGwd1SfKmNIRU8rIkqvA8UcK/q9EH3ScYSuvb3RwdfHaDp+COR6F7WhJ36IaulTejAnlqZDPphSmCWFiDXQE/8hiyIWYWwleKEtnxt6fTpO9n9k4Dkid+maCq99APho/4nXKBX8NZXX0nsVPvptb7sEwCOdgkK6XdaxJk28fwSllCCaLKLfk+daFrQoihjLXnCtF4Po4CDNOdj3fqjMXWNIZU3QaOZSYmjLKVrswtx3gYxjlOhSkkUsak+PYzkltsnbo6RusGFPp+muS7J5NCTyoAWZw8GZM8zvuETo2XMX6Ijf/b61Lb5y6JIQC0n4ZlXDy5V7/Qf+w9/L3/uRHwVgf/cWY985GU8yT/DFm7o+ktyZSLKwTZlwdN/N8r3w+dez11rJSl4/WZUurmQlK1nJSlaykpWsZCUrWclKVrKSlazk14V8gyK6jmXA7iXqpCyHCtlI4i1UKmUOqWRoR0M6UibRXe8ykha168ay8MgqLHohWbuelGVoSypwfcfPLBn4yoTSjLlk7vJYB3LcThKRC+qmbDSHgryR01KZikqy3JVVdAXmH1fL8pBUou1lrkjwiBZDJLdptEIul1IyTRZXbgSQoyk9yANDIsmiW5I1+oxOSLRAuMt2G9nWWNtj0XtcNsuaNgpq2QL8vBCTz3zpWxRzIO1wIx218BFvRCbp64X8t3SonZ3w+qQTkFKOuaANFotJ0KfORo+JzGtmDKWUShpboUuBkHflWKXJt5xuRg3h92xlsEGf5FyxCpmlThaTSRZzUSmGQt68IeVDZVNTC/G2TmPObrqCi0ceeRNnBL3ViL4d7B/Q23VZoc3Hn4Dzrh0xiwX6u78dgPgn/qX7dzrk0m/6XgAuvXyV53/pE+56Roe8SQjJP993c/3ZynBbsk1lMQ3PqVIQJUIQXhXE8VFkRpyknD/v0E2XL1+hEGTb2voam+sOnXM7lDbOWzNqQ0mVUhHGmPvHIR5Mjj76Nwia4rVyC4IKiGJMJGT8UqNVLabkvoRrvctMrHfeWEp5YmpjoBRd6Ulpq1bMpByxhwlkzIuycoTbwETOG2tFRwYnTjWqL6VCjWYm5UFrPTcvC2Mofbv0WJFKOUazN2f/5cvuAykPqtZznn7RIbcG0wnPCzooizucHQ4BWD/lkEaTJOH93/WdAHQH6yDw+YPPfoYLv/k3u/MeuMx2+gO/i/84cnb3Fz/9SySSEX36S1+kEURXWRSB/DkTpNh8PuPw8G5UnwMEC6pIkG1KK86fOSPfz3npxRfC8c19K4GVq5EmHV5fj5Q8tTKmS5Jqeyxz6suKcpBxKsQ2lYspscz72maPiax1eUPQp8ZabCFrjqBxIm3pbLg5aeYWLXNZ1YaJZIB9GU8SqYCgyFNN7BHSTcTUIy+8bTINM5/1xlLL93pGhfK1jmSxmzgilSYtjbEoaQpjFNRy+40fFAVa5ilVGl8QrVtUADeVO/9nrCKR9bQqK04s5VF6ee4TkRT2WA1X+xj/OSd8z6MR7uOadxzNdSLNQwuZdoRiwL9O3X9AI7apni1CI4L+ZpexIHQ6jaWyLV0SRyTqu2crUZbOttPLZqEC2r6pmtC6vmyVhnmHNU8jCvmjbjTzwh3rdamwhlr8lzlgRB93ohQraIqOoHlMErX8JosSUulSKxpPFN4iaPaow0zpgJCPTEMqj9pQUGmfLGpimcva+tIwjq0BbYRda25US1c4evgRUcf+OK5qb4S04UAn/u4J6OW22kc9SJxdLsQe7Y1m5KJ757Z6jLwPgKUSfTBFQyP6lK6JvdGK/rqzTapRS6Rm2VAKIt1TdmTRUp/SVJOJb102EaOh8+ky0afGGhZiI6ZYGm+bLCjRjV4mOt3VxHNBMTZL2zRXMBPHX/nnRmm6Xr+VZiHX1tiGrvgQu6LHPzUvSKTUsDJVeDaVXjbHuDcAsL1utD8QRNI97dUbpFCviTQ96bOT0F2A4HdD9YuZgawf6xud0IAkNpZa5qahwdZOG7RsCfNYsSk+eFM43xGgqhpK8S38sGWRDo3E0jQilT1d1SQcCLVCJxf9sk3QpTmWWq7nQpLQCIKwK7qksgTdaj7lbU/c72HlGCs0D6ODIY9///e73716jfHEIbMuX71CLLZp74xDTPY+9G38oUceA+DnP/UpDg9cU5HFbEYsPhR2ua1r6mOVPP7mA1iz4a55sCzfa68lLUL7FbBrJW+EfGMGuk7saHbSYnrScYBKwud/6ZtdwCUvHRTVnl6necVx+1RE9CLvLDVUXTdc1hjiXAJjAoMty4bYc3EpWJdS+ttd1yERIPFBH6tCJ748iSkE5popQ0fKDVO77B633nVOwHC+YF829+fyHuXEb2Jk8Uw0lRj0yGoK2XQ8lnWIZDHVvkxCq2DFEqXIW7wcC+3OcUs2Pn92dwLNTH6qCeVhR6yUIjipfqN4dPG04J09FTM8dGP82GOuLGkymVBKCcNisQjOwxtiB5U+2eFfHnD38V50BDhdwMKffe8mAD0ZL7u+QX3d3WutIuF3gBnQSPDBNg2xLFpIacZ0UZOLo5NqxWAszncfksh7+B5eb5FmLWhj8XQLGYa+lPQQ+NMU29vr7hqKglekPOTb3vQodVf4uCQYcHFnh403u84s7O/Ctavu9eEEpBOiftgtllsPPgy+nOfqdTo/9bMArEWaV6QEb37oghN7v+8/ovrzf9b9VpzQ+JJIpfn2b/8NAPz0R3+Gqjra8Ww6GfPieCzfi1mXrpSj8ZjZwh3b5hJo7f4xEozMsgFra2sspPPk6y/qKDT7xJZax45v2S5jRZeahj/5QefAdBvheMg2UDfc/Tc6IhLbNLYNtXDw0TRkwtlQp1IKWDQ8IvwRudJE0tG16CsisU1pUCnDWAIh62ni425EtqHXdYG3c333b1nXFOtOl168s89Enu/eoEMpHFzTG64rXdlUPNJxgaybNw54/zvf7z5/4RrFyAVAN9/zXgBuf/UZPvK3fwiAJx95mGzbBZke+p4P8/y/+kkAXpYR+6s/9TOMpXz2+rVr3Lx53Y2VMcunttXNcz6XkoM4Dvway3mA9vwY33HVwNXr18P7PlD46COXePCBBwH4Vz/9U9w3UTqUiB6xVS0ODF/a2NYmYxWhrtCW/KlvcUHiQSNOer5Bc811wixtxJrXJxoaccpNY0hkrfNKcjgrOVUvg0g9WeuqLnRiv7a6620aqP2Sg0L7Un9l6MlaF4nBihoYSFBzVpYshPND97o0Y3eSkJCJFZVEtCILhZRCX+h0ifwy2y7rlHbDqWqVQSooJKA3lPP+T7cPwbZ5t9p6YeW3k2O6Q+sYjm3a2mUaJ23Mju1M7/eCd6917jW7jaoQ3MLW/PkPuaTHQMphbbZOdcUFjotGsZ67701paGQNapqGREq3TLbk4oqaLPxUR+a56hFsk9elurG+OowIhbgnxNbQkd+IRZd0DX1JPM7qionoUtTt0YykzFGCWHGiqGopibRQSmeyi50Osee2NG1dcr+bKEVH9LnRIMs5Yzngz9++vQxYtTaFURRx6aGHAHjhxRfv4aee9Nq23r7HfL3hG8d2ALSd7DwezG0fj7NLSigfVMRf+KBbG3xX8SLusXhFkqCp5pSbSg5tTSx+eFFWxB0pFxO/aTgrOS9UEqkGJX5T01dkkrgoZNNe1Tb47KklcL7FtqbTkfI10SdjFLlwF82rkkK4lHq9NRIppUzFPlbKMBMXsZvE1LtOn94+GJBLgGsm/libjtYSlluMXvrqdyTQ9d++cv3ItHub35h62cXT6qOBxzDsJ7x3RE6yTcdt1/0KwFtXVq/jo751KOluB4Bf4xlRMX/sN7wJgDW/h0rXicQHH1vtMQ1MbA2yztmmIREfPBLbNC3rsJboSJGPJXDWUySiSz5p3LZNGBsuXZuangRLtX+vga4kioq6CroU9VOqQ7E3YpuSZLnOaaNYjJ1/+3CaomW/pPedXz1eLHjmox8F4Fx/jc7I3fOwqXn4lPPHDsT+/rt/5i/S7Ts//x1PPsl0Ml4Ope/yGEc03gdq8YL6UtvuYMBsOgufv2o38yOfmdAlfiUreSNkpW0rWclKVrKSlaxkJStZyUpWspKVrGQlK/l1Id+YiC44CqWHY9mjE+DePlOg4oA8SvMetxKXpTnb+G6HEZs7DqWwl8bUjcvGpGVF7aH5hWKWe/iWlHVoFVBek9E8lGhsmCiUShSSHSobSyolPbNFxVhKu3ppEiD0cyk/ilRDol1UPbaKXMoqRljWJYuZ1Z7sXC9zf4saPXPfO5332PMpBslapdaGLGUdaUpftmIVsYzVpz1Cy8wJkCHj78b/UGscfLfFk6DPrYi/Mg0Lj6yQcep08kCo7MpU3sjU5K/yt2yzRAW2unjm/Q2GscuY+Mxyt4lYO7UBwGEWQ+30KSuqQHTaKzRFx8+PoP8iHdBdi3mN9p2prGYuHWR8JzarTEDDpZFmLCVmaRRRS+ZwLnjtCItGyOqjhMefeLO7NhT7t105YSL3cFAtyPoONdUZrIGQzZN08LW3T3/iUwC8/Xu/C97+Dnfvu/v0T7sMUjmakMk1vPS2JwFo6oLzF1z3l+efe/ZItvGXpPOeUg5NAk43/P12pMvLeDRiKkSYnU6HTODWceyewaps66ki9s0fasPh4TCUQr3u4omGg0odRWy1r+nu10tznK+f5UDmIRFd6hORi21aZCnT2t1/XlaBHDepNEXnKClyHCkaKdMpq8Y1QgAGNmEqY1+KDWmUDUSp5aJmKOiG7V4nwNdHMzfWVVOzEDTembV1isrp3V7TMJ+7DKHv09lJExIpVZtZTSXksNuRZrLmauIODh26KFpUjG7dBuBFFXN2zyFFtsoSj9N64Hf8LgD+3cmYv/fjP+bGZD5roU2PPdWt8ljw3ZIkc6mjYAuPSivVLq+VUgGB+Oyzz/Ls1752wvdeZ2l3L7KGdlMPnyk1LcTJslp8mcfKsjUOI/dsdGRFypuIjVMOgTpMI2orJRZlxVzQlHmhKHJ3Ql/mlyURWdedaz4uAt/9mkqYxFJWLWS6FU0oy460ZizdzPpZgi9QLwSmZewSeWlrSAU5N2oM6/J7qSejVypklk1Rkczc9W50+8xkrfPjkNllF7RKLzsMd+Q8AJ813j+IQEntihnRXr+8OhxBc90rix060bUQeEdK1Nr61tIz1fr7fki7q+hxBM5x1Mc9yISz7imGsbPJndqt47nRbJwRXYo1lV+jqqVtyuaWuZTmx75cK47QQvg+LxcoQcgP0Az92PsGI8qGxj1xFB3RpVjGW4DGGKS8C7CVDR0WD41hvSe6JCWKWkfhXpt5hRL6iLVuj6nMhe+iFhkbylabmFAGldlll+qfbU7Sjyb4iqZpeOmlF8MQv3YZ/UkH+Dl6LTT6/ZITUMtHbuaYf+4/P/K3+K+9LQ4ELXhKlsBeHDE45ezGoYZcmn73qoq5+OqDMsII0svrSBJprMx1sajCWtcn4tDbcLnGWtnQvMBqzVwqILppQiLP57wS1D01ShoNmdIG23RrUXJe/PBIqCjyTspCqjT0vKYQxNf2+mYo6Y181z1rQ8fDKIqYy+/uqIhIrvNnfbOOVndBpSAXBL7rLn0C2upeDQ+OdFX1x7bK3YMdaFXHfH2K+m8gCkzTgl7YZYXIXRcrn7ebY/gOy72zTIWOplM6H6RDQvf0BgBZHDNSzmZ1y5qFoJuzMmaRu/vL5D67aRwqLcbT4oht8qW03oxXqiHyjTB0FEjcO2lKLActgi5ZlKxz1cLQ8Ujp2rAuaHm/zsVRDOKv1/OKdCq+ey/F99+MI9/VWFHJmO3evs3wjvOhlLW8KB0YPyGoxOef/WpAmypriOSZaeo67MmaplkuokHvtFSxuI88qhBraI48+/Kde/rB9wsduJKV3C0rRNdKVrKSlaxkJStZyUpWspKVrGQlK1nJSn5dyDcmouskNNfx7CMco13xkemYB4U/5r969znG0q7+UEJ+dzpRIGnvzWMWkhVUvQ6pbynbSQNfSSpIkbWNjP4pl2EZ7OQcvuAi6HMFmWSVrKB1irpBS1Z4XsOaoFAgopL3PeLEUgeUiq1KlGQNOjYOLdy11P3HjSUSwvz+Yc1VIWj9RHHAhdRF8rd8gbqBSNqwxyhyyYhNMLwgZKpfWPiM3Ywl79bxTJ0MnG5lX47U1i/nRbWykB3hYpkKYkShWCxcOlapJYm91hHGnoS2eD3leIb9ONrGf9ZGUnjOnJxL5x3fxn/5xIC9XZdFOZBDb3fiJbqrjlhIVpBORnIgNfbdBCV65Nuy99d6nL7gMuSxqhk+NwQcSXQu+tR48tTaEgsK52C0oCfzumgUsejGRFoC51FD45E+ScK1rzhEysWLb2LrTW9x39tzTQGqgwNefvqrALzlN/5mbnz2cwDUe7vsvuAy0jtjh8J58SM/yeZHHDF9dOsmt9cdSmc6HvGccvf8d7/wFACXv/gFrl694o6NFI2giaI0CxxKaZoFlNp8JvxwWnPqtOPymE1npKnLfuV5xvVX3HMcUINLbQMstTxXndyyWFQBDff6i89i2aPvAaBPBnd5UQkPbjnOwP/iXWvsiy5527RrYxK5v840YmHd+JgsQw2FJ6SbBl3qCDl8f73HhQdd04FINew/6+Z3jCEXHfKomroxQV/rRc1DA0fyP2ss65LRnM7d7zamDDZtMh6RCyfYt73/m7jxzDPujj3qsKi4c9nNebU/50Xc5+/64Ae49slPA/A2QXRtWshOu3HYmE4xQ/f+C19+hq9O3et/KWT0//zzX2A8GrrfsPdA6bX4cbR2Y+MQUGKX28eekLmOomhpj9vt2Y8Qv99PG2UDEa7SOqC3wvUimVY8sGF5/Q9tuOflv/ymixzuOsLZQ0Hv7naTwEHTXUQsfFONPCVxw4vupihPsix2Z2dtQLLhsHrrpzqkN5zdvq0b5qJHkeePaSyRPHuTiSWR8S9LHRp2+KYcSWzQgUm+wXokkFbEcr5Y5iYxjmAaoHNYc1MQZM+UQ85I1no9c/ZBG0MsNrGrNB1Bio6V5QW5py9OBQFqC0JzESKO2H6fAdfxcoS9Pb8L7dDWkVdDI8i521+5n9nue5E+t987qYmPUjwkftMPfuAc4z1nm8beNnXjgILpVC1d6mTEe842mU4WdMkjgs+u9Vg/49aK9dM5++I3jTGBHBxBv9R1E1A1k9KSxp4cWjEv3Ph7ZGoaGRJBoTemwnhdIgnNe2LfzKdRlIU8B/slt+buer+2KNnJnS4NcuERM5ZUfKgIFXRpqizPRu4aPj0TWBmGpf4s/SZrafHZnMR91CJuuqecNIccXV/uK9DL+3ZtP7yFPD3yURsZ6w1xysUtx734h967ycGeayKzJ25k3YmJhZsqbTRf23VjenZnA7vv5qfKYjaEo0t5xHsv5+yFdbmEioMX3HoxtkvkjG/i5BAr4oeXliSgWmKGQibvG5qkSUNPUIzzpqQRf2onj+n7Riey1qmypiN++GC/5PbC6d4vL25ztufs5pb4v8pYCo9AU4pB4+5jpuDLQmj+CyPPJ7q0+9ZaZjPB9Ci9HFdrTkZkBnSv/Tr0on2AOuG9+ygBCXsvNNcJfpVKuLjubNMffO8We3uuMmHXo+f6KZ64tltEVMKEFuUp0VBOlUd0hTMyFj051euwdtrZpjWbsXdZeL4w5EnbjwDbWGy51KVYEH9VHTGay55OEPFJ3NDRTm+npkHNvW2qg47GvpqhMShBB27sV9wW5PLz85Kzp0+535Z9k81yujJ+WVWxKfvGRdJwXfhVP3b5sjtvtxOafXz1K88EVCFYirLFjRumfzkH/jmZe/0T0QHpdbd/4s6xnLtM9H8+n7CSldxvua+BLqXU9wH/I85j/JvW2j93wjE/APwJnNX6orX297z2mY9DolvvneQ3qAhUHl7/pvPOeB0OD8l8FxMJ7thIEUuNRj2rw4OaW4MRYxEpHRz5TDZ/VWMCIW6nE1ELnPlwPA6Qdt8BppOAb9aVp4qOOH/T2jD3JIQt8vhDgcFGdc2GkCDmsSYS6L1QetIsqkCMmWjFQ7kzJlfnM7bE0ffcqFppKgmODOKYSj5IreKGLDJfHHmCQk2gyVSt4JXFkdrT+ggfDMN9x5Mho44str508YXnXSe2tcGA09LZ7Pq16+FkxtS8dqe610Pantnxhd5vRPx16GV5i075/lPuWvcOhsRybJPIBjRWJHIv9cyE++oohRGYcowmknOnUq5YW8NcSloHg5RaSncOx+PQhcoHF7MEjJBD54kikgCHKg0H1pcdyaLfWBqE8HU4Y13g76888yW+6UPfBcDF93/QnX9zk71/+OMAXPmJj3Dti18C4MF3Pkn+cVdieEfKTs6+510sXrrsvvfCS+Rd97xN5yWvyOb201KC9u53PcFLl18CwJgmkHvXVROGviqLsLn3mwJrDTdvXJfvWbodF4SZjEet7p629f/lghuIWy3s7GxzS8o075+0ncyTnLaljmlxegwJ333WPaf7B4ckohOlBJBUrImlW089r8Nz1lHQ9ATyrqJgmxJx/itjmAqJ6cZaEo6dTCahg5X2mz8sle9EZBs6oneT8YI7slmMJYB+Otdhg7FmFDdkg7d38ybT/aG7Bk/W3Bjihbv2x7IUI59/5hOf5IyUND77VRdUrbOMnRddILVRigcfcQ0rku0tyj1XPptfck0QNi9fppaSyXZAarFYhA1NnCTB+Yp9F8iyDNphzbIT5Uklre49P2/3O+jeFhscdIsPtLWTB8vF7mg3Rq9vEd/3oCs9Hh4Mgz41stYRKbLEl2yZoE+5UkFHMh0Red3wpdRNw5Y3QVZh+05HZsMRtQ80y3dSZUMsKI4VSmyTaaDyHYRlg5A2hkYaoZiyYuDtWxqhZeOY+mW+qIg9CbRSXBDH+eZ8xkDmWMucR6hQBj1Io6XdrBvuyPh+aSybyXYjCXcnYax9MDHPU+azOfcUpZYbtiOnam02j8gbWHr2qp3NTgrW+cBFxm9+yPtNo0BvQOZtkyLxHQpnzdJvAsqBWwtyq0PAMhXCZ6MUlVAspB2F7Xn6h/GyFEZKaXKWuhQlGus3mw2Y0I1aShsbg8GXmpVsyzq1nsXoQtZEuUa7qNGHznbFWnFOyuNvTaf0pSTeN8dJlA6lq/0oppJhiK3iurz/lATs3Rfbvkur1K9d2tpKwrrPTWue7hGxCkH9Nnn3Ccne+yb+OVFfR4DW61BMaGigMr73gpQmH46IvB0TG6NjTSoB+WZmQqngcDpnu+/0abGoGUkQ4MKWFMlHEeOxm8v1QUIj69dsMgndy6333ZULUAAkiQ4dgm3dEMWSRJZmc0kDhZKkd1XSFb82jlQISqRen8oGc+jW20jBw9I05+ZozECCpNZ37kRjRG/WEo30RCC18KL4578iZONHNzfLhIyO9LJxitIt26OW752oQ62g95HSRn/Acm6dFt5PpTqWAbRLXxCdtBJJy2R5qJnH8N0XhG6jZZv8OlcpS9fv6RYt2xRpFt3lOud99/VcAuRq2eQk7UQ08v5sMqXyXVjFNqUKmnqpSzbyEdu2Lskeq7FULHVpS4LoG50YLQF7v1abWYkaii4BXfGrmyQhlU7jqSSwtp54K/aOCxjHG+vsSxd7HcXclGv7vOiSaXdkPt40LIhCR8sGbABpmlJIfbjSy31wXddHA1zHztft9QPhvdaa0gfTVrKSN0DuW6BLuV3qXwc+DFwDPqOU+mfW2mdax7wJ+KPAt1prD5RSp+/X9axkJStZyUpWspKVrGQlK1nJSlaykpWs5Ne33E9E1zcBz1trX+T/z96fRluWZWdh6LfW7k9/bhN9RPZt9ZVVpa4K9UICS/AwyLIfjAEeGPwwb9imee9hbBoJP4yNwTCE4EkChARCgDBqqDJSSSqVqm8zq7Kyz8jIyOhuf/pzdrvW+7G+tc6+N25UllDcLKo4c4zMOPc0u1tzzzX3mt/3TQBCiJ8D8PsAPFv7zn8F4O9prQcAoLXe+ffa0yE6CWrFgTp9gJB5GeG3bpmK2/edDZCyJ/QjfQN93cvGSIimnOUVqthcoqkCFKHpa6EP39LGWDVZb4Zo98zK/GhSOvHbjbiBSUgR56mpAmeFRsNWtqEwW5gV+yCIkLBAV7J6INPKbUuEPoKC51RpWILFnBVxmZeQpAQ0lAfBCsXj3S6IgkZmKxHQrlI/10vEyxzAvVbMt7CQ6coJ/+pDFB2NekXRUiwtTewwm6P+R3WbYPJwOMJgMDTnIWVN07QGyz4pc1X8o5RFHK6Q1Y0oHMgQv7lrxve7+7nzp4d6hnY4KCaI2OJ6VpTQhEfPK2UZGeiFvmteUPB6brQirG8alMJwrJwPrMUJZpHZ34gohLTQbvxCAXis7vnSQ8gqe0aaR0Np5BZOGHjwKFCtshyf+bVfBQB83z33m883TiHZ2AAAXH3yaSTr5rU3nUBaqDOrRlc++jG0WclOFhn2KFyfa43zRFA8/phB5rx69TXnK1WVWx1ZeL4PxQqrVgoeK7qqhkIoreAngPHIIMTqVXPPN9d3fa2PA/oT9JK6mC4W2M0z9/fJWN2XagiRQ9SOZWVW2VbLno+Pb5sx/a4zHnLrS2s9AMAgnyCgL83zEoqxKVUaivd9HPrw+Nr5UiPE2oapBE7GlavMduMEC1bQs4EJenmpIe2xKYXReMqz8GEJ1nHbVM9DXUJYekASQhJhExc5Tp0xNYvdV66ZTRUVNH2xpz1IHkNzOgd1htGkn4RFiWFuxnYkPTxD9N2b3vpW3JeZGPr+ifn84GAfaWre01ojCNhuvkbxC8Oo9h3z3pmzZ3Hz5k1YczH2Dm2yrWi59CJHQQCvzImaBXTUjkkyVtTpl4cRIPa1hw/fNNfp956PkVl/6hsa60Exhj+2/lRAkQaUVhqKVWjhSTQ8S083/tZshmhwrru5NUM1MxXeVhDC75rvbh+Y6m1eLecWX2hH2a+Eh5C+MyWSItKAJqJO+hLS3qKlcnPdgnOdV1RQPK4NLSEtWrrXQ2iF5xnnlAAiUkJSvfTv3PfwqKVbOAHx6gjNh7FSKUgiiISQiEiLzNJjkF1H85FDVMD6v9buhPT6aln92ImUkSE+dNOM6e+/GCONzTE/1OsBMPOcN6aAd1lBM39ZKDjUUxIFCJk3aaIO280QXcam4SBHznu2GyduzA5GhiKTq6XvS6Hhc8xKSAT0pbG39KWKiBjP9xBZ9EepUfL05kSm+nnp/D2BB8F5J1rvQVrhcosGgoZHn0kB5ysLqfEA0fYWHavKGo3sTvmFOUIcMundjmCxdkeK7HH7OEmrx5lj7DhX1mqZh4sAn7hl5rreeYE0NtfggW4XADCuZs6fsrJydDItBIbMPaLYR8C8ZkjE5/2bITZPmxnlYFCg4PVqRzFC5tz79Kes1A6REkoNn3DBDB5Cvj/iWMYCrrFPEPhISktXFMh5shmbIySFAujnsfbAxwac3VxzV2yYWkpkCMlzKCGgGStmAngL463LuY/Six3SHXAxpP76ODuamhwZKI1lkw8T/yxC/g2KTcc2wlC3+70qASf54uOT2yZP+a4zAfKIvtQ3OfionMEjyDIvSwiLzMorKD4BrzUjRG4czPXrNUL0GZsOBiUIikI7iuHTlwYjs99CLXNwKTRkZee54Ph5jrEpDAPELjYp5La5DCmKYVGitLkdfCjOO3GnhXJocm+bH5fTKbyUz5LpAhfPGobM1Zu3cK+7nEQBymUzq0MI5DqCtNYoweZEhoHBZ4lWCxn3h+Py6ZqPlkV+mKFxJ5mJla3sBOwkOWHnAVyr/X2d79XtYQAPCyE+JoT4JKmOt5kQ4k8IIT4rhPjsCR3ryv4jspU/rexu2cqXVnY3beVPK7tbdtiX/kNZRFvZ16qt/Glld8tW89zKVrayN8q+2mL0PoCHAHwbgAsAfksI8Rat9bD+Ja31jwP4cQAQQmi36nyndreHqtsAEMLykf/CN9+Damyq3PvjKU71TQXp2tS81w1iZImp9HmJBz+24u0aMUVuRaHhs7obsBIYhQFKbd7bu3HgtLBEoJ14uKJewN5wioltbV0KJFbnylMA37cF5hwSMSuMmXa6rOh7Ag1q3uT257MSTS7Mh5VCRf2wSmmnD+ZbfrrSSHlcodJocn/PhsBf2V8iuQAgDDxcunQRADA4OMA+UTzQyiEdNCSKwoqw1kTbjzVZ+512X3WjJiWURU0I767XKG/3J/cJbnutdU3zxl7oNuw5/rVvvx8H2wa9NJzkWOsb3vwNimZ3w6U/Bc3AtVIXWiOmNpsoNHxWkywiLwp8VPSn/Wvby2vgAxErR+2m8ccsnyBjxblQEgm/HIU+fAo9Z0RK7ZcKCf2p0MDu1BxnfnWOjbZBNX70Z/4JAOC9/9NfQaPdAwC885u/GWAVC5/7DPaoC2Ar3mJ7F9d5zfyywjqrkVuNAP8D3Wl23SBo9ndvIo6tTlTmROV7nTY2T5kq1DPPfMm1cT+k21CrNtqKVJJEmFNLodM2ehha62UltDasjUYTWlcoyrujEXCbL4l6ZRWHqlrHok7hGQ0KAP+v9z2IxT4FwyczrPeML11jvOpFMfKYKISGDxkufcnq/MkSTgfHoh+C0HcIutHNbYd0kSGcrk63bdCDaTHBiEiHUEqnYXRPvw9NoedKmd+MS42EM8i0UHjg3gvmd9AY3NrlKRPBkeaIiFwLlXL+XinlqtijpjmGb3vi3Ri/YPS69GiC8xSK/vAnPo6f65t9fPxTvwIAmE2sfsnycgPA+973XnzkIx81+6iqWkXSnMPNmzfqv3KVSyFErfK4RFW431d1NJf57d20O851NdSiUsfo8zgLYJ3rr3z32zHdo8jzaIq1bg8A8BrRcN0ogbKBP/bQaRn0jpTCNVnxKzj/7VA/6dR6CwHv2XA6RMR7fawLKO67TR2dfLjUFKy0QEx/S4IAJcdVs1Q+UMohcxSkQ9l0PYkmtXhK/l7MCnSVRS8r5IxNnlJLn6MztKUEWIW+qCVO8XcfCyr8xet79sovL+EhNA3HV0qn37ZYpMegLOpaSvrIOsDh+18IeQQ1eBTpdXcWEQ77kjxmo/pwnDp6PCKB1dj8q9/5KFLO++PJDH3GpuucP7pRjKphtuGLAB7zJq2AtotN2iGXJcc2DnxUTEN3ru1AcHy1t/yu9aX9wcTNY4ESbq6M/QAldbeoX45RqSyoBkJ4mPL0YinQmJtxzOw5Twu0eEtFCsiIctVKO+1MmybElXa+FlQaDR7P86HGD98wMa90iM/6Ja/5xxGdtKVMUg05flxDn2NDzZF9HDOMd8tuj028P44VP6/v395DDYfo+vPvuwegZs/BaIJ1Irluzcx7/ThBHnN8vdD5U6U0mnwtiqWPTHlv3pxmWIdB8hzc2F36k9RuPrT+VAwnyB2CXEMxvYn8wEBRAdvdA8OqQiAtgkoipz/0fInG1Hx3ynkX0xSNyiK+gJx6dEJpFLwW60TmeEUF2EZEGmhzt78qS/yFazu3X9dDZlkWtYF+ne9CHPnukbETRzUK6xped3re+vewO+fgNX0xl0uVh/MlAPA7sOf0l7/jUYzYQOlgNEG/Y2LTzckyNmkmxZEXIoitqjHQokaXXwGBzZcsujP0UFFTbv/6rtOd1HLpd62WyVl2DkYQPDZVSBd7Ag/wmTeV/HdYlvDpS56QmNNHm9JDwtzLvicmORpW41KX6HQMWnE+X6DTMJqJNqfJt3ewYPOEe0+fQZKY7z4nJH74mRfNdx1CuT6WR1k6NCHgEaVqY1pRY1RMRiME1DCsN/w5blNKKcQJtfUW85pfYWUrO3E7yYWuGwAu1v6+wPfqdh3Ap7TWBYArQogXYRa+PvPlN33M3fFl4LhCSrzrwjkAQH86xZUZIdOxB0Hope1AmIsKLQtBjzyUfCBLZwvMmGy3tEBJ0dzz6ybYNDsxQj4IKL18MGqlAgc+F4zYwScOFq5zT1qWWNiHqKJAk/SRJoPPfFoBDC5CCrQI8Q4CH9WMwr08z0kgcHrOxQZPwqa2AnDilx4DXQ4g4SS/FUj0+bBxRml874ZJOv7pdfNAFEaRo3uMRuPlxa51n/I8b9n5S9UfKo+nZSz/up3ioZR21BClNcrypGGuR/3piHjnkY+FrvCO84bGJ/YOMKQ/tSIJYRsH8PhzKDRJpwiSwPnTYrZARdZLQ0tUPPez9Kder+EWshSW1IlWAcxCivfSn6JogQ73MS1yZLymVVng/IbZXkEh8es7FRT9qd1M4PPBPY5DlPT7zXvvMwdW5rj1xS8BALaffhp9LgrPP/Fx6DWzKCYnBrpdTWdOpHfse7hICuHFSuP72aHt17jI1+k0cP21V81+k8QtIM9mU8Qzs1AVJU3XVWvChMXQSJeJmR+Ya9xsNl230lbLTO43btyEHbi6SGZZVTgkdHrXTR+OQfWF0kPir+408NYzPQBAMhxgm77Ujj0IdtPxGStyrdDkGPmxB0Uo/Hy2wDy13VglyEbFKS5ebfQbaDKhU4C7Jb25xoS+5HNsosjDOq97rhVSXrrt2Ryt2N6TXPDKPEgmQP1mgh73N57OUPKa2+9mnsAmhVYTfznteELC45ieZ+c7pRTOPPwIAGAwOEC1bxaz3owI39oyv/0oKwGPPPo41kjtfP755zEaDQEA3U4HTXa4yvNiSZ+jX547ew7Xb9zgez5OsZvnjZs33QPn4eUJ+5BTT8DfAGF6S3etU6DqAtdHijpCCLydlIVgMMCI/tRNfISZub6a95uWQMszY1p6JQIuSCzmGYZcOG5ogS6F6c92zfj6SYAW3yu0xpzNBBoKmPpmXCL6ih/Mnc8uVAW6AIqiQIfNODpNE9+3DkoIzkONwIPHp4UkCqC4OOEojIHAKS6gC99z1HwPwnV6adgFNmjEfO8ZD8joC5vw8AfPmjj+o1evLq/voUWspRd4vu20HLjusMs4onCs8Dh/W7fbqbF6+c8bxTwDcPvCiD0uLu5IjXeeMzTXxnCIXXZIbsUSgnILtnCTqQpNLtgHiY+c13gxT90zVUNLKD7AnekYH2x2IsQsAFaAewCLS40Dz85N5rteMEeb9+9cVci53aos0KYvtUmJub6fQ/DBshV76LI5UBj40DNKK/C6j3yB03RML/AQWF/SALiAYmNUpYGIvrQdSKzRIc9p4HtPmWv1z24s01y30KJqg3tkHjiOKr30pSMUrtuKuDgaqA6/d2JWX4A7bsH9uAOo8ObTZhGiNZ/hxtTkDp3Eg2BssnnToirRIg09iD0U9Kd0lmLGTui+AhrMl+/fMHlDsxujYcXEsZz7oxKYeWawYjauwGyONRaAplWB3MbQquZPXAF9bbd0dDPfl+iwAUfpSyg2iPE51uNA4CxrvipcUhenSqFjmxV1TF7mD8dI6PM3AomYHfju9zx8P2PTP7pa625Xzx/cM4/GcoHIq/lI3TGOW+eu57i22VRdquOIbMcxHYnvjgnS4g+d1PK1VoZrB7iFdyE03nzWdB1UgyEGzENbkQdln+kYNxZKYYOFmUYrdLEpTTOkLm8SUFxYPdsx/tHuJIjpX6UQzpfiEpjTl5LE5BhRNEeb/jotC1TWl8oSLTbjaBM48NpeCW3z1YaPftv8Lg58CMYmj2t/E1/gDGOTH/nw7IIkJMBFsQ4XiUfXb8DnYtzlwT4eaZjzWFvM8W0dc5z/1BYGBdxY1mUejo5LWR4t7AF1X8qtML2wG13+6/m+20dZVijKBT8VRxbaVrayk7WTpC5+BsBDQoj7hBAhgB8C8EtHvvMLMGguCCE2YKiMr5zgMa1sZStb2cpWtrKVrWxlK1vZyla2spWt7OvUTgzRpbUuhRB/GsCvwOBN/5HW+hkhxA8D+KzW+pf42fcIIZ6FKcD8ea31/utv/RiM5KFKg/2cFAYNPLNjVrK/K4wgKAiuGz5ytqB1HdcrjZQ9hcMSSGz72DhAyNdlWsEjHLmiGP3N/QX6FChPQ4lgZCq+U3+J1ikKs6K/ubkOEGIa58uiSRjHKFkdt9BYhCEOUnM8iYQTUl2UChGV6/OBWVVvaomYsNtCA9JiEZSqNbC2FQGN3NIHIFwVaIIS/27fIGgEqydZmmE8Nu/1ej3s7deHyPwuCHwnzKsPVWWOgeADbryWFEYskS/QrlIAUUPEnJgd9hfUBcQhYCmckAYtpGWIF4bm+A7iDJ7lbzUCFCFRCKzu+Vogt3yKskJCIVs/ChHX/CmksLi9WruDHIjMftNAQszMtZ0GHkpWUNPMVH82Njcg6E/+fElPbTQb2B+aaqCFUp/ptjClPzXbLQT8QIYJBKve7U1TKcs+9wV4rGjrwQA5rLhvAD03UHG/ZSqTyWyGXZhjTITAhBWiVAr8SwqFTirjQ1rnSIlWunjxIna2t811KAsMhwZFKDRw3/1GvP6LX3iSw7IcFwGJIjfb2NvfY8UcmJIO4XkSjUaD700d2rDTaaPVbuMaEWV33yxK4nZKk5TeEjpu6VUI8NLuEAAwanTgMzaJRuDaY8cWra+BTBCNUAo0bJEzClxzi2JRuthkxd9nkxJRQrpOJCEGZpwKX0LSHzNev9OnNlCyIpoWOTJSX30/wJT3ZJfCwKXwEF+6BAC4efll7GRGNH7d91HQl3KitGIt0CJFQynlBG/nVYk+q6IHRB1WL7+ER9/9bgDAYw8/hMHnzPgPdrbxgQMTVzN+94UXnoewgsJhiO/8ru8GAPT76zh/4R4AwIsvvoAOaXsD0q+2d3Yc4gtCotk093az0cSUSINltDpCS3u9SvldtDtXW61ZaCDHHAIv7JvjH7b10p8SHwVFei0FR1QaU6JmEs8DQcpoJyG6ManQ8xIi4Bw3MX4TZRolYYNpICAonDv1hKPIT+g3p09tArxP/SxFScRWq5MgYwywyM3T7Sb2Rub+TcsSMdE7WaXhRZzXhjxeLZywuWmvYD43gtHmtUUha6UA7iPWRugZAGZViZ+7tX/oMkIcRmZJKysgBNpEiw4Hg6ODwG3UkGB3pBBZq82Ruk4rOjJPnrjV0WT2vG3eJPC89aWugkcUH2IfBVGjEemDPoCMyBaUAjHnwSAJHdKlWlTwGZssQuPW7hzrzJvyQAD0sdKT0L71JbPds6c3AcojeIvUNbRp9RrIKQRuEQ3nuy3sUShaAiiZbyzKCiHzpnSfCB9IBIy1xfKKQFXL+y60PgWN0rNC4wJkwWJUFng/JQycCVFjrdfHVBx5+WU4P3X013Hf0bXfnwja5i6YsI8ZPi4zbxr3FXz6k4h9lIwxnFoQCQ+5JlyuABLGLi8JEdDnqlRBMIfNrGj2pEKzxdgVCKixmS8qT0I5fzLbPX/6NHRBv8kELCO82WigsLGJ8+O5bhO79KdYwh1DIARS0uLyPeZgWsLj+SjACeJLz0eTKCPF+UsK4Wi1KBUCokYPqhK/eHPbXkD+e+Q559Bwv15Di6MoL751FJV8LKWa2xf69u/fLROCU2t1+67rb3A8NHxcHpjrPWikCOw8F/vw2HSlwRgUSx/as/TBCk3m2mEcwrOXJVPwSVm2KMzr+yk2iXguPAE9Nb409z0oysLMOI7nzpyGLpbznG2q1Go0kC7M+wGfY852m9h3sUmjYI4910BAX1pMiFqEhLSxSQpI5rT59i4277sXAKDm5rjCMERGJFgzTpAy5ylmM7yf1EWbB+uaGPyhpjbHybccMr18ZqtLUNTmXftPVZZIiJ6cz+fud/XvrKiLK3sj7EQ1urTWHwDwgSPv/aXaaw3gz/C/3+7WazdLHYJ/e0Lh+wn+5JsM1Wo0mWCtY4KX9DwUjHSaLZ6kJ7EgfFiLCsmc8PdOjOmCcNVWiPvuM4sBE3Z76SHA1S3zkN5LYqdBsTWcQFW2qwZhnlEXkkl8L4oxo56TKEo0I9tJhNoDWCAmFDuChl9LwisG5Nh2ARIFrs5NovimpIlZtYRU21/ZBb0CAlaJq19pDLiIMZQSC16Ls2cNnWdra9mdrCgLCEvjqVH8Utt9AzV0dZ26eIgGgto6AMfI85wGSuD7yNgBR7yhSX99Eq9H4uDQt4IgwJ96Uw8AsBgOsUZYsOdJlEymgsBO2BqLhZ1UBBL6QLsTOSps3Arw4P3mWg/JFevHCV69ZR6oOkkMy0PdHU9RlfSnwox17kl36K1GG/O58afZZIE2/amiPlJRVUhIcyxnU3RI2ZKqwPXLRhfp1378xwEAlx5+FBfXzwAAzgQhnvrF95vvau0m+DNcpJhmC1CWAm+NmsgZWYZhgLc9fh8A4MknPw0A2No6wJmzhkp88+ZNR03VQrpFj7/+1/4qfuwf/DivVR8AMBkPaozAOv1DI6Zuh9UOKssRRuzKGMcJUlJKd3e2sXnq1PIB9q6awJJe6Q7UuZLnB1B8aBO8Zz0Z4k+83VyLxXiCvqWHeR4qPlD5wVJrzPmSkEhIH+p2YudLSSvEvfcYysOYvtRut3Fjx/hEK44gTCjE3miCgqJ/NuH3op6LTVEQYkjNFK0UmqSVVLynh0WKBqmvo8UCpwOzEDCpNA4YD9580WhqXbt6HU8NTXL3PRcuQtk4trcHlZttCCbRrw4GULtGn2T98qvI13sAgM6bvh3P/vQ/AwA0ElKDc6Ag7SVLF/jiU08BAD7067+OS/eYha5+r4cLFy7wuhrH7HbbmDNBnM9msIO0SBcIuCBn9SgOMzZOir5xvC0Xufig7XnL90RtUURbPbYEf/odZwEA6XiCNdKGpVgm53FI6mmlXULueUCcmweHdjfBkHPg6dMdnD5jqBFzVlkCGeDaNgsfSey0bbZGE5TVYX+Scej8aTOKsE8acpEXSEjJjXgvLLBARPpkmefwuACUFSViLoxYGlAhgFscv0cbTafRE0jPzXUkKCGHwIRU166SuMHCwy409nLLf1zGaGdCOBr+5ulTGI8ntetOO67Admx3Vdz+vdp+lts75usnasc8RPNhyQ9b+G+fMPE/G41c3uR5vusEVo9NlgakIRwdq9WOMeb7zV6E+y+Z4DMm77CT+Hhty/jEWqsBHZnRu3kwgSopheB8KXKdPze6XQypD1ZkOWL6ks/Rn+u569oY+0DAeCMBgLHfdhPNUWJnbOaHB9ttTGy3Rk8u8ybbyVMIpBykTgWMOPGOPImh0xW905gf8xBZZ2sdof6Yl8t+d6JOEfwPdVHrONOWetXCn3yLmcuz+RR90lel9Jw/JYxNEhopdddQVYi5WNDrxEtadTvAQ/eYPHzE7zb9CNe3zbzfbSawqdLeZOoW2UF/EnEESVr1WifGkDq9Zb70J8+6tyrdIlTia7doIQHX+dEusuaosM+O2O/odnGdK2ilKpEzZvU4xlMBt1iwXgEZA9x+CewXNqe+vWh2ezfwWvFF175z6LOjJrBcIKvNM46aX/+dWi7In5QJUdtHLR5Jb3lMvO6B7+OPv8nQVbPJGOv9hntfW/1kFnE8CaRpLW+aL/OmoX2mawd46F7mTayx95WHG5zn1jpNlKw4bg/HqAouuHH+kMkyNq13ehhOhwCAMi/cM53kqviomiGkVE4cCPg8JwHhJBYa9KVCVBhysfaefg+zPfNM4EuJKXPahl38iyPkuTm300GE5JyJ3YuDfYzdAuLturW/XVuyZ5c6uVJ67rWo+c2CxyiEcAVJgeO0Tle2spOzk6QurmxlK1vZyla2spWtbGUrW9nKVrayla1sZW+YfbW7Lv57mqj9B7hWOwDMUrXtlEMhwTKDZCWlHYXYIp1mvRnD4yq87dBUQaEkesZHhYyr8Q1PA1yFlqVExiqlrTppX6JcmIp44UmU04y/C5CCkGaifVqh76pLAkAnNkiI6XyOMVEaHquNw7R09ZwY2jVN0UIjZMXSL8y5CV9AkRqgysIJLyutXZeYjNXMXCsEatlFrSDU+t8sFGa8PrPZlHtW2N2zFA+FBmk+WV6iLKwY4RKm76iLwj++8lh7T7OSFAYRUidgrR1qzAhinnD1st5Zxv1dE5wm9N7SvIo8hc9r02vE2CV6pRVHDtJO5g58qcHCNCqpkLFLSdNf+pNXLf1pPqc4uOejmPPaSoFyanwo8gJk2ry247/eijGemO8WpYKQplKKPMWQgpW249CNgxy9dSOae/HSGYQUvBdaY/OSoQomlTnGUxcuOIHNU296DJNPGUTWcDbHGiuPTVYjdwsgYyV8t8gAImg+d/FBBLxWWzVqxzZRghoCHvdx7tw5PPjQwwCAdqeL97znPQCA02dMZerDH/4tVLmtcmo3HqdOn3aVo07HoE92trZdBSkvcjfGURQjSzNXfbrrVqeSuJf0iaKADblCEnmmPQS855NGjF2+bscRQlabC1bhfCFRWbcUFXKi11qeBogmEKVwvjSlL3WSEumM8HkpkNOXQi+AFOZ3lo7TCiQKdvvMlUY3NP4xWSwwIkXNUsJe3Z2iSbTdZqPluutpKfCut70VALD1qacBGO76WS85kAABAABJREFUafr+XhLjbWfOm33s7mHOGGA78g1mE0QvvwQAGD70KBpnjLj6q+tnsbFmEIgvv/xFcz6B7xpX+L6P/prx7cFwiH1SrKMowksvme1ZWmK6mGFKcW3Pj5C+dhUA0Gy24PE45kQRZGkKz3ZcwhGU1Rscm5TSOCz+zLmOVMKiyBHwXogbMfZYvW4nERLOh3auC3yBCUVxy6JCyLjekhVCdiUVuQdB1FfK6ncRSmRTCtv7HoopRcO9ALmgj5Bq1Il95JwjlQC6sam8z2bLuS7ivHgwy1HQhyItXAdHCYOkAQCfdG3hSQginYuicM1koLSjb2S8dKkAAsamREoMOb4/Ny7gunhpi8YBlvRozwnQSyGWdHpdG4NjWWX1N+uQna+AHiL0yfvUcVaDLQrB2JTPEXNuazQb2Of90EgEQiIj7XiFUqPgdfdQImPcaPoans2bCoGMnTYzok2VL5Ex30DgISdlpxEEWGizv4i+1Iw92PCvINCMjC8tZnOMiQq1NNjhNMfMCpFrAc9f5lse45BfmFjghT4KUp/yooDk50Jp1/xgaumXWsF3eYpAQeT+vx6kuH18j/rBMXYIlVkTBHcmj7jYl/GNNxL8fkc7BuHI/KnMZ2gpg8KRzRj7vP+bcYSIc52yyFWpUTGXaoQCGa9J01PwLNq/kA6pY/8NmqGLTZ4nUMxrsQnGnyRzZD8KIDLb5EIiiUz8K+dzTMiMsBIig1mOLcbSM5GHU/QRrc28AwAhY0wQ+8joT4s8Q8rPfeFhmzFkSqmBluchIhpVVsIxAv75YAYXm+7INDjumtffPtoZ9ujnx/32TvHnJJ1LL9vMH9plDSHL5zTLTSmKDAkRb40kwphU01YiXA5eus6GCrl7XWIRGqxvw1MItH2mE5gv7DMd8xgfSKfGDwJfomT+k3gBUvqSlQbw4wiaKOgcEr5vYlOxmCNlDm67Oo7nBQZEi3tKImAerzXgEY3W4PNhEQfI2XZRJTE8ztcoS+RjS/Pn3KW1454sshTp1i0AwE9+8XnEZEoIMndm09nxTTBe15YoZ+n5ZO2YbqiWJXHHzdoc5msJjbqyrwtbIbpWtrKVrWxlK1vZyla2spWtbGUrW9nKVvZ1YV+jiC5rx1XOlhUy2ya+GSeYssoaBhJN294+CaFyVnq52j4vSnTZWjhSQMnPC+27+oqQGrtsA7s7MGiqg60DXDjfAwCMDyZIqD+gVIEGK+kpV+kPZhn1rQBZlqi4Sh8I7QTvqUmIM01hpZjQgYd7Oqbq9Ox4DrFj9m2FqG9ujRFwtXweJVCsELYUkPCcx6yGKV/Cc3qEwlUQPjLL4cTX3WXWDsWQJAkEqytlsXCceSPAy+9Tk0B6fm0T6pAwq62Uq2pZxbSvVVWiLkx/4toAtkJfb919pNU6ACjq4LSaDYz4fuxLtH2KqiYBNKFcDSuSWin02tQ8UgIVqztFLB0QUQiNmxRpHVKM99UXb+HCBYNOGh7M0OqZKpQqc3SI3pgV5hiv700QWU2JskBOn83zEhErRNafLrUELt5jBMTf9K5vwo1dU/Xp9DfxTd/6XeZLfYo4xQnQ75lL9BM/ifNvesR8/KXnMWbH65y6Po/21/DyvtEPmJQlLvA6fGaRYTY3lfOz5wyKZzDYc2L00AoJETn9fh+avvPZzz+J555/AQDw7ne/CwDw7HPP4WBvz+w3S91wDQ4OHPpre8doOwVh6JA5QRg6JE+WZbjyymWURKzcXaM2lxVWBWCqsbVW8Txo60uNKMSE/h0FEk3PxA2vETo9L6slk1UVemxrHmuBKifCJl5qyXgSzpdSVhj3ru7jwnn60v4U7b7xpbLM0KMvTelLk7RETi2JKk2RZctqYZOVxxarzo3zHZQDI+6eTufQFHnd2h8D18w4dYgGGo/mmFPcObr6Gp65dgMA4CuNFuOEFRR+OIpRcr+5kFCMTb/w5JM4GBkf8zxbBVVO7yxNU7z0ovGZtfUNFPTNtbU+Go2mew0A+/v7rqJZFik0jA+eP7eOV668CgBORyNJYqRsEhJHIRYWgZdEyKlVZ8WFT8QOCRDXEEI13UNbvG/HMcb0p9gXaDE2ySTEnGioU4m93gob1F2KFZCl5hxVM3bCsUJq7E3NuFyhXsl8b4RLl8x1HB4M0aSuHIoKDduQhWH9YJo5fUAUOQr6rFIKkRWIJxJorSUxGnEuVEscg68FxL4JOJ2GuT9u3Bpgyi+cT5ooeQHaeqlZOaOYdSYlYqvdBI0mffITo+nhmL+8yLzUClaPfDqdOuRgyqYrt1l9nNx2NZbB4E75Co78/dWA5mh3zFaouNVoYsBrlcQaTfqS14hQ2YYmlBRNVYVem3mTFihtbGp4S40mTzhf2qbI/d6tA1y6ZFCYw4MRkg59qVJoCjPWmY0hkwyKeYEuMhebtFKImANZhdN+x0MvZZMKpZ0YvSd8aDZHsRpxk+sH8OmvRSNAwTjUqQDNGDAjKi0PJCIHPhFoMjZ9fDqvgW0sMtz9D4c1uvSR79iv1HIeZ3VE4J1QYce//VUxXXtx5N5qJgmGvHatWKLtm/GN24lrJtBhTCi0xjrnugYEFgwoee0SSKmxOzEx62DEvOmFm7jIvOlgMHexSZcZYs6tDIPIpymUzerLBVLmTboqnU6jzZtO9z2sBUSjzjMccG4914hR0Z+sHmp2bQCvNIHjarScI9aERI/zltXoGkmJRi0PT5g3/dpgeIdhX8YQq94mbotdR38oj3xuTeH2mFTz00ONEL4aKBzuW3qox2QAaCVNjDivdBoeehwv0QhRcWza1NQ6HJuMph8AFM3EMWSSQODAxqYDM54HWwNcvNQDAAyHUzTcPKcQ0ZdKCtMWkzm0bQiTzpERsVVVlcvB2coDp/oSa3NqymrAI1oxgEC5ZVBaHaIOZ1cPkJCZkw5HwJo5nuY8dT5W8NpMfeDcuYtmX9LHlPfUR3a3be+PGkD8dzKe1E5US1+7TcfU2dKXLFpTaPW6IW1lK7ub9vWx0CWke/kd917EWSvSTlrWuldiygCpKoWKs1cDGgt7w3HyS7TnHqxSodHigsU8K9FjJzGlgIoPBZIB7fRaGz4DTyQEcgel9THmA6sNaHlRoOkz0DUTlOyYN54uoO2iFx8qI19CxzyGvMRzwwlPWeI0qRsD0pI6gYfz2gT3Ukr4vCi5JxEy0mUMxiOp0GS0yZXCT1tR6nwCHE3MpYeE3WKEWNJ/ev2ee8gcDAa3iWAqpRAEll6iDtFwbEcj2/ksCAK3aFKWxRHY9UlHwyNRVwvAM5Paf/LwJdxDPHCjzcltPnF0RK0UZnzdET5Se4oFfVBLWL5ZqpVbAJvmFfots+GqAsBxb/Aadtea8Og3iRDISSHpJAF2ZnaRiNdZK0guErZaLfgU557lBarM+pPZV6cRYefmNQDA5va9eOixxwCYh4k5Ozs2YBYvUGiAk/TB9i52OH4dKaA7hoJw66wR8JwM9+Hx+lWBj5+lv+1uX8fnn3oSAJBnZmH2wsULGAxGAEynGNsp8fnnnsP/80//N+Z3uzsIue8rr74KwNAOLYUMwHKBOAjx8uXL5rqyO6jveVgszMNxlucuQQrDCJ1uDwcHezgxO/TAG7i/v+2+e3GWh58w8WqqzPmSUhp5aMYxFBqZ9TGuoURaQhOWn0KhyW1NswprtsthqelQQJtj4PcakHbRTAon3t5NAgxyu9DM7otFgYiLX2G35e7JW3sjgLEuIrUxlBr7XDAMA+nE2083IgSkNC+4QN4NAtzDBTLtefA5tmVWIGS8XvChYyE1zpF+98InP47P3/MQAGDQ6WKwbxbIPJ6blD66XJidTsYuriwWC0dtvXnzlqNbqpofzEld1FpD8XhfffWqg+MrPvB22y1Hje112lgwti/SFN/1rb8LAPCrH/p1nIjpZZcjAKZAwkLD9zxwDy5yBvdZnGlWqaP8VEpjwS6dm35suBgAtmfmvNZDD8pdew02ncLOrMRZLoZtTXL42lynJg+jvd6GoD/FNUpfFHpYWBqOnevKwtGSwmaCIjTOPBxVyLlQ4XORIg4ESq6c5IvCUSaFJ5DE9n3jb93AR59zFgKJkN8tpXC+kXKuOxAVWnxvrhT+RWpXKhSgj1vwtguJ0nVzTbPMLZyj3nlqydc/bIdo8MeZqwrd4f2TsqMHaq79d9x7CadJR291zZy8GVQuNkELzKjM3UWFzN7LfDCPALCGhjkU+pRCmGQV1jimZaWh7YIw/efMZsd19o2lxIz3WSsJkPJeDmxn2KpEzP2GzcRR90cjhQXnOcmFktAXyEl5lJVyYvISGjEdPSMVqRH4OEMfzHyBgJco9wQCjl/GeDWWColv8yaNn5pbLmW2vKSHqIfW6tedHezMl4/57lFK9DELZ8eto/6HsODFsfqOCxdwhg/rbcamzUShkPbBWGDIBdVQK/hsQmGLd7JSmJOOWiUBGrbLXVaiw4JKUQLC+g5jdmet6XyrIYTzp3bsY8EYIe1cVxVIAutPDfih8YfRuHL+FPC4otBHxU60KsuxQX/xoNGkn2Uz0mfDAIJVzMyXjurlS4kRL5OiP02lgl1NFxL4O/RJSHmETm1tmUMvRb+rmgssG0R9ZYtUx/lq3ceWcUq/EQ5WXxwV5tp/6/0XcJqxJ2ah41RYQjAWCC0whrlWXe2htM9svHyx8KyyAyoJ9Hj/TzKFdZs3FYAgfdIrbWxqw+fYNDwPs7mNTT5SS9+z85wqXeEmbDbgFbf7ks8cPIr8ZRMYpZ0Pw5No8Jkuo/RNHPrYYIxOfYEeZT4yIRxVMOM1G4sKyc3r5vq88wn8o5evumta77Jo7HfwTPW6blUPSEtfEvXmCasFrpW9gbaiLq5sZStb2cpWtrKVrWxlK1vZyla2spWt7OvCvsYRXba6AYjQwJXPCx+Pv9WIV2/2WwCAre0DzF8zlCbZ9B1lr8grsPBo2XYIEh+CVKFykWPGClWYlUi5+t/stTCxmoBEwYTNANdJr7ioAyxiVhvK0l3kGasDvtIYEgmxFgaIuNAdBwEqVqY0j0GVBiEGAItSQ3IbXigxZKUsHRmkTFYqvMLSxcNeEyW3VULBt5UvVh1aWFajp0Lgcc+c0L/Rx4hCamDOaobnS0hWoWezKSpWJlqtFqaTpXi9MUEBbuBQy3UAkhVNi5RYpBkqfldrtUQx1IV/T6oKYAVhXSEigGgYOsU5rfHmtxk4cJyYasr1G3u4dnUbABD0IjRZcSlLOBSdRQKEsQ9BhEW+qJDSn7xp4fyp0WthzEpmylbCa50Q1/bM9byoQijCd/yqRMztHWS2IgrsU7he+j4EUTpxGEKwsgTfor8EOqRxjXZ3cP8f/38AALaffRavXTGC3Y8++Kj5zUOPAC3z3XR3Dx3eJFdbCU5d2wIAbI5NjTIPgCAx1bbq3FmcIcrjxVevIs/MGFt/W8xmsBc7nc9RWERInODzn/88AODlly+76l6/b8Zid2cHGRFGf/gP/2H0euae39nZxcc+/nGzD/4mzVJHsdWqQpNC20preOIki99H6QISIjQIiXNC4IknjEh/wsrdcH+Ml18xwvxRP0aDiMw8r+DV+iEARuTWNqnIFwXmPD9vUSKlKGrUaTpfmh4YpNzpfoLX9sw4XVIhLBRMlCUCHu+IKFZfa0wZm3qhj4ZF8TUaqNJlDAAAkWuHlFkUBURpDxSoSN326cPTqsKMFdOLXoxZbuOMRsD7PvGtMDjAdgrw4hiXCLF4/41XIYS918wxXrh4Ed/1Xd8NAPjpn/5p1+q9KBQaiUFljkYjrG8Y1NfpDTM3aE0UKgA/DHH/A6YRQ7/bxWuvvQYA2NszzRN29vadL27tsikHgPX1TXR6PZy0Sc9z/lpWCoK0iVMKeOvbDR243SKl7+Y+blwzx93uR+gQ1bRIK/gU5I1sJRgaISwtLEWb1LxOobDPeaa31sXOjHMS+crddoDXds24XkKIgnOdrzS4C8ytLyiNgsjLXhAg5v4acYx0YWId7LgXcNRlVVbwrTtFEoKUtoCxbVJpbNs5NIlhwVZZVaJ5ZK7b8AQ8nk8qgHdE5nh/AfW55Si90Jil2FdluWTQCwnNPwJ/KYh/yJY92G8PNlrX3qshME7ULPSnTk0CEHQAAGch8I53mnnu7IZB6964uYebzJvCtRhtxrQyr+A74WGzrSAOXN6k0hwzZj16WmDGea7db4OgF0dVC1s+rtZ9qcPDLQtHyVowN9OVQsEx7wc+Qs6xcRS5hgeSSBvkGg3GpjIrIZmnhA0fIGLNQj7yssJNjt+FoIWysnmTRkBfsmiNpjlpAMBMAG8jPeqXUeHLj+MRJ7jN7+qm7zBBHUNXO/S9ryK9zP4V9AAAlzwf73z3PQCAje4yNm3dNPGz3Q9xmtLZs7RAgygbz55W4KMksqbKCuSWGTArMCeiq93vYM55a0bR8I1uiNdIi72IEGnPbNBTlZMemdpGUArI6E/rgY+Yly+NQhSZ6yYEAND5shFUPwoQcRuNQCAj0j+iP6lSoSIarREFTnxbQqFJBOTINpgJJRLmhHMp8L6Gef1zurp9OIVYJgO6qqGf5NIfDtEND/Fi+a+ubfcYipndBnAEmXjCaC6tAe9w8yqRGLbAaaXx9redM6/XzTPd9tYBtm8YVH7YCdHmPFdVgCdq8Q1AEIfwbFzIcuS28cEsxyyxsamBGXmxGWNTqx3g1T2TQ11EhAVjk1dV8Hk9pqWVW9FYEBW+7nsuNkVRhNKJ2/N65trJP+SLzCG6gsSD6DE2EdGlPR9DSkn0NZByLq0iHy36vE9kawMAiBobj4b4Bsbdf1nzlTsCjF83dtQQyK+L5LJ/Hv2irH1vBela2RtnK0TXyla2spWtbGUrW9nKVrayla1sZStb2cq+LuxrE9F1VLZJSKer8rYLXaxxBX22NQQAbN3ad63GZaHQYXU4DgJUXHVej4gwySsspqbKEzVDNKhVMt2bY52oEPgCwdCspm9SJFx6EgRFYSRThKwqjHM4gJPVogl8HznfzNK5lVpCBQGP1aoqpz6FJ+CzAj1WgUNNRIVCNjLVhqhhKvGtcY6zMSvfGsi4ul9pjV2LXLOFHyFAHUV8ulL4WHbcUv9SSDBktb8oClfpKUqFtTWDthkNB7Wikd3JkpMtpHdIANEKz/uB1RZaIsmEEIf0vO5chbiLptVSDNZPnB7BE5f66DjBU4NouHljDyWPaZ6X6FOkMvACp5bQDdj2ulBI2e46aYRoNs34TvYWSIjIEz7QGrN19SlTsRIe4Cnzeu6niOk7gwzQFkXH95LIR+n8abFERWjp0BJVbhsESOzvGQH6qr+GX/ixvwMA+P4f/L/j9Pu+zZzUK1fMv+0m8Df+JgDA293Frc8Yra0kibFDXYopz3dSlOgQYfTLsxR/8kf+EgDgI//kn+Lfvv/fms21zPns7e266ytrY3v+wnk8/aWnAQDj0cRpELTb5nePPvIwrl83GgQf+ejHXMUoShI8/vjjAIBrrxn9sRdeeA71ILGgxlkYBigr5Srjd98YnFyxNYJmpe+Je3rYmBs/H8zM8dy8seta2C/yEj36kpS+u1+6IdEoRYUpK33NZoRmg7ox+wskDYM2VB6wRjHWzlmDzPA8gYC+lAYZQmm2N8yM3iBghFABIPQ9F5vmsxnGRNApeGg0iSCdW10uHxF1S0ZVAMVqdVhqKFYbFauNbc/HecYjD4ByGkfAyF0rIjSEREEtti9cuIQXpPnd+vqGi/MJ22Vv3bqFf/tv3w8AaDWb6BJhtbu9hdyiGQWQs8L+2lWjW+EFIYKQcbPdwvqaQXxtnjrl0KQWxToaj2AHVKvSvT44OEAcW4nZk7OqFhshY2jGzm+4r4/1lIi8hdGm27l1ACtdleUVurZCLHynXdX0qZM1z1GxpXqvFaPfjbiNCc6eNmjJUlfYIMrX3zDb8nwBFGYunIQZKImCSYpl63HOEVHgo6CH54s5cjcnCDRYcS6pmeVLiYSwilSFrmp+1guwt2MQiRUr86d9H5uc6yQARTSRlj72eTx2ftMQ7h77ZFHhs05XqcCxGll2whHS3YNSStMkBaBGmnm/KI9BQEMsb6x6Y4pDQIs3Wlipppfi3hJAZXz8nfc/iD6RoKNbBum4c+sAFWNwmlfo0Zd8b4k8T5j05KVCTlRxoxGjwXluvFugaec5DxBDM4durBHxGUicKcx2B36GgOM4zZWVGoRkLEgCHzm1ZtL5DIJjpyHhUw/KNg/yPQ8JUUJDaKeJU+YV9NQgCRNqh60FATaI1pYAcsYppTX2re6k6yciwE3hk4scv8U4fjgpvZOITe3zQwhCxpavQFz8PwQZrsNWOz4RuPj81vv7OM/3ZwMz5ns7w0OxKW6b+7dKK+wzjj3YN+OYlwqCGn67ELifvqezAn0i8rxAoJiYsTy/ad6TnsC5irHJz1xzp2FWIWfuLG0cDAOUNjbNZy6HkpAIrT9RXyn0PXikXgwrCc34JnMFn/mdT1RtZz9Fj2jiXGuUnJtDCAx8uz0iobV2/v0bswXez2ZEh1GftWt9SOeo5k8uZrn/HYHv1FBO7m1xeHvu7eP9V5xY1iSMtpuuIX2E7/Kmd9x3Fl06zoJovYPtodOXLEqFmHNX6AVuG5Fg7qIqZBM2z2iESIiaG6e5y2mE0BBzxqaNui+ZHGoo5wiZSx+kJQqLEPVtbAqgbPOT+cyhyqQW8EObg1Pj1PeQEAmaIYAqiVLPNdTEzOP22aAfdNGamuMq0wxgUwylNYb0q4xjKD0BecYg1j81z/DrW0Zr1/MDVOxoZmOq8YE6wuo4Oxx7aj/kOwLiy3nEHQCDjkEDGGTiylZ2wvY1uNDFm6R+E8WnnWj2J+Ya39oyN/59bZOsp+M5rlDwuptE8JmMZ5MZYlKItilgGcF0fAFM96CcE127n2CP3cyankSXidrswExyk0UK6uTCCwW2F+a7QkgEfFAr+LDl+dp1wahEhZntJBIlEFwk0la00/NR8fNGEiCbUQQ/8iH3bGcjs7FRJ8SMC3CPholLOoQnwX4huBWa7bZK5TrYPBJK/Oi2peQcAysVQJ4vxVYTPty1Ol0nUr+21sfLL10+8juJKGKnm3RxSOPS7qFi5D0kVHi4hcfJm5tglwt74Pl+dFbhm2Nzne+JzWLBorvAyxQ9b0cRBGHsZTq32r7YtYxBtezcBQhk1p96MfYHhEivC3T65joVU+Mji3mBecpFzVjiJhNqLQQErIg9x19p1ykKSruFrkaYuKTZPo6V8KC4oLB77RV843d8LwDgQ7/2q/iu9VP8FhfKnn4a8v/95wAAk/d9J2AXJdPUpTzFmkkqq/0RMiaKfyAA3veH/xgAwJPaiTjPeA8GQQjPdlyLYi4kAGfOnMENLmSdOrWJjc1NAMD+gXnwunz5Mu6//z4AwHgyx2Jmkp6yLPHEO94GABiSjiaEQEzfS7NllzSlNMqy+B12nflyxi6LujaR+8ZvPj1V+K6u2e+jjR4AIB/Pse0vH7wUk/GqXEBwBWGPC0ie0mDogtJAys5nrU6E/ZHxj8aaRNI2CVCxML+bzDPMUrs4KnHD+hIEPAq+WpqIH/jQHEehtbsPpRJI3bM7farSyG0nxcjHwnayDAQS+vmc8XXa8DEem3F4PEqW5GbPQ2TpkxQGVpV2zQO6t67haV6rF158xiXhdvSeeOIJ151zOh1jMjG+5Hkezp813UXX+j3s7Bqaw872Nq9f7pqAzCZTpKkZg9CTmM7M6yfe+XYAwEc/9nEnyg8IJPYhJi/w5FNP4eStBryWMeCZe+5TU4VvbZMOytiUdhe4PDH3WSuOILh4ocoFEJrt7KS2qQCQ2q56CphwEbXfTzAYscHJWoLuukn8Jwdm/CbzDHNSeyIpsMPmBhASgbCFC+ObaalgOT8ZyuW4RgkU7xFpKW9aLOfe2EdkxYQbIU7xHtjhA+JOJ8RkaPZ7fxhB2eYEQjp/2uX901ba9RF+NPHxD7ZHy+vp8vg6dcedDnxSE/MsXX65Rg+SNX+0cff2bmW/HeD8SS1l2PmtvuAVAOwI/clRju/hw+KDDXJ0uhleZmxuhIFrV1ehdMW5Aa9soLRbhtEw1GoAaPZiDDjPJX2gu2buHetL40WKOYt6vpDY42IZhHC+ZLunLoolndsTy+vdDBJ3TlbyAZBuzKMkRGnzpjiA2DH3x5yUs7QXYbpnHibvTxoub4KUnGmBITUumqVyXc4ebYb4sZ3d2vW980Ph7RxWfdtrcezYH0c/u8NXvipsoJo/yaap2gH41LjC+U1zHS9GJl4teh28xLwpDENH7+oIDc0LPeacVuYlBBeT1pMQCzbgkUmAaztm3j9zpoU2C80Fi9PzRY6Mc52fSOxaf4KAHU27eJWXgGAuFMpq6U9h4oq5NldaFNpJgYSxD65XGdoYu9EWfAa5tZZgzGM8myRQnFtnvueK3Xv0p3yeY8xY8fZOgh+5fpOHe8wCeS2ueJ7ncmfzvWMWvY4zgcOx7lhZkPoi7BvsVPZ4ROB86bODDN9L+uuphll4qnoprtCXGnHoOhDqYvmcMZG2UYZwc42u5eCNboQh57l2H+hznhvxmW6R5kgtJTrysDchnRASko/OE9JVF4F2DPxQVq4Y1QwT1/zA+lKpBUpLbUwClORz+w0JxblpwY0NsiFaE3M858MQJc9DSQGPqIUJc6zNZhuyb555H6sU/udPftJ8t1qCE5aTW32x6Wjs+sqKMOK2mFff3jGbqM+JX5VYtbL/WG1FXVzZyla2spWtbGUrW9nKVrayla1sZStb2deFfQ0iuurGFeJijk7cAwA83o8wGZiK3TQwVYDE99Hm6ncIiZxQJl0oyDY3tbD/VLDlyrQoocdm9b/sNVFR/DvdGgMdU0EfDUz1X5QKBSGxnhIIuYq/gEJZ2KqS2a6nNRSREJUvHby6zHMnfmtbB8/nGcAV+wJASbXO9iCFJFTalhKi7YmjNopYomSV26sqBxmPbYtlrWGl4z9YhUva3usgXeIochVWASBNzbltbe8ukSC1ZXxlq9y1KpMWwkFWQ1bByqpEWdb2TRqcgIZHaHdVHdcK/i6YkAbCbXevcnQ6pjLyaDfEfGiu1KhPCLoU6PC7npLIiZCoihxtIv3y1JzfQuulqG5ROX9q9JooCc1fbE/h940jzveNP+mygmrx9tQSIa/HVFUQpbnmFas7kec5f4KAE+TWZQ4vWNIwAABphoIoPBHF+Mhv/QYA4E/+xR8GdgzapViY6nbwje/F6Ef/PgCgLSX2SdMJSgVNP1xQoBoAhhz/X096OH/RIK9uXH0R89nMHRtgXKwZmvvn0j334Pp1Qzd89coVbGxs8twUXrr8CgBgc8OIkgoh8cLzzwMAev0+JoR5Dwb7+NG/92Pm2EIKw8YN53utTg/tlrm+o+EAo/F46Zd321xha8lTapFu9XAvxD6h92FF0fRKQRKtEmiJCak3RZ6jSV/SBMykSjlfysoK8zEFb3stFKxSTrfGSDaM746JmpClApwvLWPTTGtURGFVjI++0ktfkRqBtD4mHC2tYIU6gEBmBZ+1QEm/aw9TlKRTWwFWeTCDYEXcw9JXetWSxhhz+025JEk87TURhgYRYOIj90c01gvPP4+Kvt9qd52vSSkxIbLpne94O86dM2K2KSmsTz31RQyGA55PgSeffNIcT6eDs4T/N9nK/B1vf5tD7nziU5/GwoqoA3jp5VdwoiZI6XCV9xydyIzvw70AU1LB5jY2edLFJl0BI8ZnT5Vo8b73CtLRdOXmGwiB7T1zXhsbHddKfZrlUD1z78zYbEUXyjXH0ErA47yWaqBgbNKcQ2UlUVn8ni/cXLfIc0SWIsZxL4sSuUWgComQqIdrr+2isodp6czjFEVhfF4HEQTnCF2UjmYWWD18ABP604fSGsJKqOV8VxdgtsK9EPB5ffJ8OWdJKZfISmXpUF6NWHaIp4Hby9d35HTg5Ewc+Q8AFNr0iTdtNDBg84qzoUHJ+J5Ex+UsEguiG3RVoNnn/b0g4kUrePTRrKwwJ9Kh0W2g5O/m22OgZ9BiA/qSqBRK5k2oFCTntBzLhhMWHetpD3lpxeElAo55UeYIOc9VNkYVOVRijlFJAcUYLPfnCChdYWnV+voIAZGPXkOi4tzml5XzpbBajtOUl+//mpUOdQKd48vDFO405kc/e73Pj/lM17/3VYRKVFO0GgYV/kg3wAH9qX9qGZvsdfS1xJQ0/lm6wPomm8XY3FwIlLwn81JhSupZ2IxQcL68eWuEs33jT9MDxuRSQbUYCyoNyWtXaI2yMrFJMTZ5Si2p1oFwzSvKMkcYmmO2yO+qKFFYtKDwUFoU3sEMPmmVlaXp7w9QkqZ2EJTImeP6eQFpfYv+1gp87JHy9oFhXovzJRytetkFA3Z8zZxXizfHCtAfY1+Re9Ri4nH0x5Mwl3NY7EWJNu/fxzab2KcvdflMFwc+Olb+QnvI+WymqwJJz/yuJLKv0AoBBf/TooJmJ7Gk00Bl6bHbU1RmWsXwgPNcpVAktnGPdmybUmjknOcU8yZPecjsXBDKY33J+lpe5tA8N8/3oChzondnCHtkSDBetbYX8FNKRTQakGs9czxbO8g4N9kGL7lS0PsGYfpz1/cdXfuQLMshpPExyCv925iDjtJr3Rxa20WdxnPs/r7y3a1sZf++9rW90FVblCHlGdPxBG991HQ2271lHtzjZoIzmZmM9hY5BCfKuOlDEWI/HbPzW+BDkJ/vyxCCegBJFGDKB6q1TgujXQMxVew45YUBTpPGtb11AJ8PZFGlUEiraUVKmJLuwSkvtEvim43YURZtW0cZSffgWfnAgvTHWAjEhLTamJFJiXe3zcRfqgox6ZiVFK5jTETIdQ6NBd98phSAsvQuAcfbrwVFS+EoK+Xe3tneRsIOfkIvH8LrZoN8UZRHaCJ82GLHvcMLbPVOVBrlsTood9EcbZLJix+hQZjxeDTBY4+ablTXr98AAETtJk4xkdnOMkfpaLQDR9mY1P2JD3ShF7nuYUkYYEp9o41uC8M9s2gTJHxADANssvvV3tYefCZIkdLIrTYB9zvScHo2lQAKzxz7RrPpfCclLUmEwnU7C3zg1RfNwtFHfuqn8L7/7r8373OBAPt78LgIhfEIEeHYO6gwtS7CRZgCGrJtfOGy8NGmftT7vuWb8YUvPWOu1Zbp1FiWhfObPM9x7pzpHLe3t4sp6Y1+EOAb3/NuAECbPv3x+Ry7O+Y85rO5G7fA95CRPjWbc+FZSKxTP05r5RbFgiCA53nQJ6YNYBMIUnK9EAkpY5PJFG9/8z0AgMG26WZ2dr0LyQRod5qh4pjG7RAFtbBGNV/yInM/eTKCTz2vRhS62HSq28Zg31xDq0XhhRHW+iaO7e8eOO2zsKpQMXm31NdcVbA9/ooSyAW1eFoJKsaTnHEnD5aLX8r3nCZWKoGQuiUeE6eZEHhXwyxulqpCn/5T2E5EgKNtzj2Jqzyep6SHS5fM4ufTT0eOrnvu3GkAQK/XR0StprLIHfU1zXL8wO/7/QCAJ97xNjz0gFl4/emf/ZcAgDM7u5jQ13JLvYPxpXNnzbbtIsZosI/CdhEUcMmgEAJldcKxyexoGaNk6LSHppOZi01btwzlJW42scE5YifNEHHM4nYAyUXUfT4UNqPATZxpATTbJt7k1XLR8lS/jYMDszgbcK4LOiHW+HC3u3sAnz7kV6XTdLKLUFKK5cNmZR46AGAtacDy0FJSWnWwfGiXvsAei0htISFJQVKkoM2h8fam8aeelFjj7y5LAWk1WpjoFwAU4+ez8wL23jyciNfmLsZM3/cRcP7CbAq7QKbUUjfS0fX07Xn+7Xb7A+vh10fpbSdh9WJSiJj0ztF4gsce4zy3a/KmpNHEKT4IbqfZsptvJ0BFnYYpqT+h7wPUbQxkBMEiXBxFGJfmwXG928X+9tDsmw+QQRjiLB/ubm7vubypUpXTWMt5j3lKutiUH/UlqyVGjaN2O3L6q8LTLs/wBaCoh2n9MvMEHuOCSVFWSKyelydcF1GqFyAVriaKZ2clF7i+nB1HAzoyxofyIvvGnZ4Av5x/fDWeGmv79BIk9Kd0Psf6YyYPf5608U7SQIe6iAfTFB5DWiMJoJk3DSfWnzz4nOsCL0TAua6dhNhXXEDrtjAcmhghY+ZHYeS05Hb2B07zrapKp+mUMzb5SsKzeXhp5iUAWGs0HAV2bmOTv5wPEEhMOAeGQiCmXIidyaZSoMNcKCtLxIzHG3HkFu+sVEAhBSQXYT4/HgOafG0hllus67m5vOWIPx3nZi4gHfW3WsWxppnoPrPnWbd6seUk7KjLexESz5zrYDTGo48bGYKtXZM3dZImNhp8pksz6FpssnEqt3lT6ENEJgePvRAldbmSMMKU9/pGt4l9ajpr+lIQRNhgbLqxe+A6XpeqdF1n53w2Udp3D9NFCZSCvtRsQvP5bz4yftLrhG6hVEuFPGMMkRIV9exsnEtVhcdIRyzKEh5lPDr3XMR4y2jtNrjgNR/PsL1vPn9qdw63UGoXuep2aKr5ShYzj4lNR7SUv/zv6vZVXpBf2X90tqIurmxlK1vZyla2spWtbGUrW9nKVrayla3s68K+thFdrDAIofEX3mkqcu/6xrdjvGeqLVf2XgYATPN93H/eVOknWykunDNUKOVp3Ng1SA/tmRV/vxEu4cqiQshK/mxWoCBqYndniCZX6S29rBuF2KLIqRQSmnDk0JPwKbIcsqqcFtWyE2MoEXFFPlUV1il0bGGnaVagJCIk8XwkBtyA/ObcdS4cs6p13g8x87lSXqnagr10lZvCitwLgd+kqPHlvQFqvL1a4XlZgXbXZKmsDgFgQQQNxLL/hqV7aKURUhB8Npsdz9JwhYJaBatWgVJaO/HrkzAhBIIghFLanZv0BP7SNxl/ec83PYHFyFTZfuvJ5wAA02wPD148CwCYTee4dMHA9ZXUeI3dwRQbEATNCGTgoEKJiFDnPFsi47Z3hthgxUm2TfWlH8e4vmW2FUJCsJIXBz60OlwNmaWVayzQiKRBasD4bzcx17/B3wxmqaO6QgS4uGm++/RTn8M3P2POz+uZDnQHv/Z+PP25pwAArb0DRxuBBGL6w4g+7QmJD3b75niEwgP33QsAuHHzphOILyhQLXSFPdIkz1+4iJdeMPs9ffqsq3RmeYar7JC3u2e6x0Ar5wvpYu4orRBAxK6gWpkqXlmVxudgaCwtdnwMfA++J3GiIEGtl5QWVeJ/fK/xlfd84zsxGpjj+9wXXwRgxJgfoC9VN1Ocvmh8qRIKN/YMkkaz9B21YrjanKjg8f7P0uU9ub0zxBmOv99it8IkwvUdigBLCduaIPI9VIyhvuuuppxQahAI+ITQp7pCj11++p6JtbcGE2j6UuD5jn4yuTF1SIjheBmbLBIiqPlvqLTrxGdFyX1oZA8+CgDoJn089QWDCIzjCFKafdi48t/8qT+FxYLC1qMh/snP/DMAwLe/+91Y6/fM8fZ6+Ac//g8BAB//xCcAAHu7O4gZa/u9047amOcFdrYN8vCjHzfffeThR3CdiKlHHnoIL7z4Eo9ew6cP5uoEHUoI50/CC/FX3mvmrye+8QknnPvxLxhk5izdw30XTOyaTua454KZMFJVYYf0Dy8w4+g3Q/oDID2NgHOW1D6apOFsbQ+wbrtl0p+6cYStPbMtAUmajaFQW0RywLiQ5Qqlm+uEm+syXaFPtFRM1PT+dOGoroH0sXGK4sCLMRqMN/sDc09c8CPMeV80Sw3NG8MTS9FoSzUSEviwMP7y0mxUo+kv6UGihqqSHhHdvo/R8KA2EEQIieV86D7R1eF5Ste+e9tkV/8tm1fc9v7dtiNUFQB+mOB/+l0GTfuOb3iHi02f/ZLJm+bZnotNk8kMF23eJJZ5EzjPha0YEce8QomQ55RnmYstt24doGmpsuzK2I1DbO1O+DvPIVpCKSDoC7ZDXVYoWHWDUApEpITlqNDnvRx2THyYpxkk6dOB52PtFBtI3Fy4eSwnffJcEGEREGFRz5s86dAtBV1GAvgN0qSuzpe0fWPH5Sl3yl1q9LAvS1387eQ+d0DunLiR3uVF+IvvNfPXw29+DNncXLuXnzb+VJR7uP+c+Xy6tcC5UwZxLT1gMDLzRMltBVGIgHNPicoJ12eZNo0RANzYHuBMzG6ZTfNeKwqxzXGttISoxyaizQL6U5opkEEIPzBd2AETm9bYcCkhomdvPIOg7zbCCOU6kcx7OWbMawJSvy+GMeah+bwBgQ3Gm0FZOoT9DvO5nvTxgdwc1+XZZHlJj/MLrZ2kh/nc5svA0p9qlMYl7LS2qTqKq45zsN9Vx6N0ThLNZfcvpTsOPwzxF77FzGNve+Jtjrr61LOMTeke7r9oJAbmswXOnzexCVLjlp2b+EyXtGIwNKFEhYDnkueZe//WrQGaFv3H2JQEIbYoNWEE6Emb9jzAzlPMf/K8wsLOc1IhtrFJlVhvGh9q9M2/43kKn7HJkwF6ZxibbiyQ7pL1s2v2ey6KkdK3dakgJ6R8tybIiASzeTVUiY9W5ruvLWbAoXlHL1/aF5am+BUBrJa+KGrC9nYeNED31+MjrviKK/vq2ArRtbKVrWxlK1vZyla2spWtbGUrW9nKVrayrwv72kZ0sfrz7rUOtoi6ycoAz1+7AgC451Gjy/Lqi68iz0y15dGHL2Lv1j4AQKkCsTQVn0luBcU9t/DcDD0sFlZDykODovClr0DpGsT+snIZ8ncFAEWBiTCUSK3wPD/3YQQNAaAqNQpWpsOggmZL3CKniLDvORFn6SlolsejtSYKVvMFj+v6PEO/YaoDAksklFbLKqXksaSBxHmfCJ1iimMFKGvaAI62f2T1PyZiKE1zVxWvWGHo9dedHtCh7dWrRvVqthWi1NWxel8nYVobXQ4BuGrZe8+sYX9q/CErfTz5skFwPPDYAwCAl5+/gjQ1lZVHH76IvS1T9S/LHA3609j6Uy5dO/JznRA5NU9QwflTJgU0r0PECtEiTRHbyyEEKv7M8wXCI5WTICstQBCqAgqWvYUsoQmtUVbYVxrUAwDEooTMzf66mx1MD8x5dO+5FwCw9v3fh+Bf/SsAQJ7EmBIhpZVyyCKfx5AGEqdnQwDA+y9fwdVX6BdZ5hA3olYhbLVMdevF555FzKrsYHiAd7z9HQCAD//mh1BZBBntXe96F1540SChZpMJNCuTWZa56tapU6e5rZHbr9YlBoNlAwUIeRsi4+5ZrYoK4ImNHm4SKbHIBJ57xWienXv4XgBA+eJVZJk5zsceuxc3rhsx0bzIEAmLbmNDjLxAweNe64Yo6EtaCTTpS6knUNGXmqxgz+YLJLwPtSecDIgXSpREjlo9G1+Y+AUAVQnYQBfHCn5ENCi1w5LQQ0jkz2CeOy29oB2jpHaPFYG+mefYIOoiK+HarOtaswYXgqTEE/cbvaBf+8LLEKykrq2v473f8k0AgHvvNVpn88XCVaijKMLZs6bK+w3vfhdyxtCD/X2HMv3O7/h2AMCvf+g38V3f+R0AgPVuG69ceRUA0G638eAD9wMA3vrWtwAAuu02fv4XfhkA8Ae+//fg3/zbDwAALl95FQ2e07XrV3H3jRoYGoBn7pH3ne5ha8Q5a1riS5fNfi89bOa6ay9dRZUbf3rwoQsYbBs0papydIha2Wc78yqXSHnp+/XYpITTs+l1Y0jCHuxct5inoHIVKk+A7okwlMjpTxa05wPIGZ2KQsLjXOf7JSTRxwVjk5AaQlltO+n06rqbHedPEWPFrXmGNTYLWJQVFkRN9KSER0TWZWrGlZ7EOTvXqZpoeA2lIF3DkwoNVuCNzpiNtZV7rfVyErTzm1IaHmN3VZZufuPV4DbqcVvU3juK8DrBireGm+fe1mvjxtBco8cyiZeuGtTihQfNvXfrlesocpM3PVzzJegSDfrSeEGNmqLEnH5yut2qzXMaDY4ZhIDPuckjyj1NM/gW8ewBRW61lpa+ZK9GAF3TOJIoa3mT4DxnG/8kke80vIDK5U1hvwlF5M0iNtfh1myBVsegB2W+zH+EUpAWscBjyQMPlxrW+397zXGWaVUtx6qd3x0znkPT/Zf5thCHUTju/E/CLEpEANKgU961HmOHsekRRHjxmmnUceaSQQXu39hGnpuc9fEHL2BAndu0ygHOdb5F1SuFOX1rc725zMMRok/9N+k1nd5uZLUms9zl4QsBWKBt6EukR+a6QGgUVmOyEMh9+ohfQjAPTzk3SwlIy4ooc8CiqRuhm1vSxMzBu/MUXsPoHZZFhY4VJq8UMo5fi2fTi0I8FtmxrAvM11/T7Fxg/sBhXziC4jpk+ghI0HNvH96f/W49PtZRqCep0cVtMza9c7OHHTbbSQuJF1412pvnH6BW15XrUJznHnrgPEZ7Q3OU1fKZbuoa+xRg/xWc6kZIKe6OykODovBaAL6VYON4qTyHHZpSLJ+B4sBDxniisMybbDOuqpBOJzcJK1h4e8Z8pBn7KBySuILiPBf1G8A2m8swxtyapriXqEIv165xz3Rr2z28W13MKpS4FNsgU+B1KDQ4bF/5nKN4Hxhkl3K/tkivQ4yTQ5u1frXS6FrZG2tf2wtdfAh736Nn0NQmQDz95LMoKDy62OwCANoPXEC2bahSr17fRkYxSugKPmfFDrsIeZ6PmAK9SiiETIZiz0fFJG06XEBsmMSomJltrcUeFIXEN/wIr40N9DRV2mX9lmokPM8o88IsGsy5jVBIjCt23WMcSqRAyEA4G2bospOajnykzBA7TAje2ehgyvgxlRI5g0koltNYyoTg59HEr7+2y3driXd9oqxBn7VbbPNqU6JAukhv/x1tMZ+hrGrime4rYpmE1SHR+riJG7g9KN9NMxO7hnCH8rvfcgEeF22efvIZTCnOHpy6FwDQf+giMgqrX7+xg5wP+FVVIaIPbJ5ucPseGvShChqSCX7seahssjRcIDptUp85H0LX4wCaYuKdUOKVA0MVyStA2GSQ/3biCHM+WGRZgYxdMfutBFPeF1as93Qngabv3dyd4w/8l38MAHDqoYcQ8GEapApe+d/+FrwrrwEAdhdzNPnAkuUF7rtohGa/SArikxcfwKfYouqR3mm8+KKhI+7v7UMz23QNDcrcXVMhgDwz5+kHAT7yWx82o6I15qSGPPzwwwCA165ewZ//s/89AGDr1hZ+8Rd/EQDw4ksvI+GC6wEX6zzpIeEixGIxR8TuYmEQYDqd4uR8yvq58eVvf/MFtLWJBc984TmUHBt58V4AQPchjWzbPGDevLHjYOiTLEOUGL85RV8S8JAwNmkB50uRlObhGgCmBYIzJpblMzPO7UhC8XfdUOAyVyaKCu4B0OP9LaQHZQVWlTI0awCiVPCKmiA7TPMMj9/dGqRoDU0sUIGHksfW48Pv25MWUu4jF0BqF2mx7LpYMja97e/9JH76Vz4IAHjnOwJoLoRs7x3gc59/EgDwxaefNtt92zvw3vd+MwDguRvPo983dJh/9FM/hR/8g38QAPDUK19Cv983x0Zh6ziKHG3h2vWbCEnne+Thh7CzZwoh508bms0Hf+M38cTbzaJXWZUISZ3RWuPC+bPcxkksdKHGKDd+8X1vvwg/NQsOLzz7Mha8R5oXzSJ8V1dId0xsmt7aQ0ohZK1LNEiBWKc/SREgsv7kCUft8T0JnxPQcH+OtTMmNmWcp1qhh4qr8K1A4Cp9YKE0pJ0nKtuh0INtcFpWJeZTczy+TjDlfZHVOhcG9M3pcIb+wBZyfJQU4I8oWv2epIWFXVQTAq+xEnBaBtjlPWQXWf9VFuDDt0gLEhJQy+YD1pkr11RAIOUCeVEtY4QQnpvilKogpO06yfvHq1PKl4m8oTniiNW3e5QGKXCi852AWzj+zjefRUebfOOFZ15EnprX3XsfBAD0POl8abG17xrhaFUiZrORjbNNvifRZLzSQsOuXsW+j4K+MD2Yoblhvi/pB63QQ8TmP/0gwLVa3mR9yc53fi02lWWJWWG24ekYw9KMLxvqoeVJ+Dze6f4CHeZNiANkvPE3Fua43tzuYkxfmkvhHooD4doWIGds+ueDBT48Jm3zt7WQpLlA6v50ZhsT3e4HOIZWJA79c/uD5DE51EmZi00m3/7ux8+i65nXr7542cladB8wC6edwMNiz+Scs+19pHYeKnMk9KfWOjsNaw9txhjpCwjey4XW2Juxsc4sR8g8PGMHx07kuVhxPgpxdWj8YqEAy6G2i+lSeijtgkWlMCM9LtAJhsr4oVuilhKSxzveX6DHuc6LQ+T0uU0ew6m4gTG3249CTJh7SSFcV9CEtO2fGBf4hRs3uRcfrsXybYtMOLyIKb2l/2nUOpNXt+fity2A1hcc7Hs2D68XFw9xHoGTXpyoPSJ88719NAMzHi8+8wJy5k2tS/cCADpCY75nhOnznQPMa7EpZN68fpZdV5WHFv1LCQ078QeBj5TF1OlggRZjk+A81w49lHw+PB+GeG1k7vu6L9kxkMJz4IdKFZgzNoU6wbCiPA6vd0dKBDze4WiBJhfey2TpS2uMTY92u5jY2ORJJ2LvC4HSLji1zfz8z3dn+M1t5iHCgx1Lz/Ncd+3Di5X60D9fqTmPOBT/aoHKhajbKf7mdxqH/WxlKztZW1EXV7ayla1sZStb2cpWtrKVrWxlK1vZylb2dWFfo4guAQiJTs8ICN/TijBipTddzHHmonn/yWcM5WwjBDZ7plJ0bTdFwGqjSgWCBuljrOZ4sedoZFBAg1XKPNMQXMFeP91wArMdtkD2dIU5qwOTokKPFajBIncircI33zUimWw5m+ZOSHe2KOGzimzpPJNCGTg9AD+rMEzNcTZmOQ4o9HyBgrALXzhhZ4hle/XKEyi5yu4RzfaWsMBvRKYSoGfTw9fWUYlqVMNaa3XfQrFLHCkQWMocxXyDEL2+2cfW1q2aWO8xVQUAy9bJqCG93iCYqxDotIxw85onMSL6aDyd4PEHDVz6V598FgCwEWps9ky1aOegdGgpZEBMweaMsOs49kBiJGSlXOWyyABNFEHvVAKfPrJGUXWpKyfMPsqAPqveB/Pc6mBCUmxTwUNsWai5gmIdcp5W8FkVTyiOOV3kmFlUxSzHL//MzwAA/qv/8S9jnBs/8Kem+j1/6ovIuLNOq4E+q1hTrfHJmzcAAJtnDFXwvjjEv3nFVCZ7iUJGVES96lPaNvF+UCsmabQ7PQDAcDjAqdNme3mWOeHWkNV0HYT4GR7vdDZHi+2lL126gOHQ0CDGrLoBh+khBStoRZ6zTfgJ+RT32e0aNNB9zRCDhbnvZ/MZLtxrqtuf+/yXAADrIbDWN+fx2tYMvh1cJSETCp3Oec/HPjTvC1UpJIn1pSVHo7UeuXjTZSt3T1eu4jnMgB4RhgezrOZLFDsXPiTvz9kid/dhpQTmU1NJty3bB3mGhqJ/aGBA+mg40xjOzXdPMRZkUiDneCpPOsRP7nnwec0SDsmH//e/ie/5M38OAPCL//qfI6Dw/PUbN3D/ffcBgKOlnjq1if19g8Da2tqGHddOp4P1NYPo/eCv/RqShqnWrq0ZZNd3fPu34w/8334/AODG9WsYjwxK6vyZs/gj//l/BgD42X/x8wCAzY0NvHT5CgDg2edfwJkzZn6pKo3Pfu5zODkjQkN46HSMP20GEsPS3Pez+RRnLxgx8c995ovm/CKgz7lud7+Api/IXMKjP2UToh+akWttr8oKTcameaoRETmT9EPXTKPHtuxCVZhwHhprgXa4nOvoGogo7KyF72hJ1SJzYvVFoRySyzZ5KRQgM45fBUxJMfGnKbY4152mn+a+dPT/REps0HdyAG1SiUJu/12ewm/RD3VZAY54XYsDlpciBM5fuNfs6/RpfOpTn1yOBBE5nh+iIiqk1TIUpSzPXYzhhszvDlW0b0d8fTm01901ATvvtroGhXgu8TEvzJguFjNsnDPvP/sZg5bshRr9vvGlwUEBafOmBRC1j8xzUYzSnnOhkDRsjiAgiLbbPNtyVOmu9aWqwpho5FILNJlbjLPcIS6t6DxkgJK0q3KRuUuVZgrConX43ijXy7wpV5iQbh1PMszZvKdLn1gES6QEPImQ827lCzd327zpzVGEDwtz7tBLiuoxA0m7E1VoKQheU4iofdVOkHWEPW6ftm4D3JwwiuuoCYFOYuLs2YaPGcdhPJ3gItGun3/KoLt7oUa7a/xpPCoRsckSSg9Jy8yRKXOTRuSh4rkXeYU20aiTuYIiWqa32XTSCV1SvYRWGJIBMRYKLcamUVog4m0fMF9W0kdFZEme5rDXbpZWgI1J9IVSASB70ssqTOlPG7MCM/pTyVg695f5diEFYl6TW1AuVWzzPnhHM8EvOnRovqQVHpefiCO5uc2RtXZyIZDe7b87ug2X19dyJIcQlI4pc/g4rFD8CdFhydzo9Qwi+1I7BtMe5NkCZxibnv6syZs6oUK7S+T6tHbZCuFy8ILzXBT5yG3szivEiZ3zBASRThtnGrCA9V6TvqQq7FtqNhQaLjbVfImP0MoLoCSF5Be5k9WYpRU0fSlwsWn5TOdlFWZWCmKcojgwCG2Puf0iWEqfBOt9yF2T65S+cI2E1P4QAPD2KMGHnS8t5yLjG0cgoELUYsuXy4W/0jxZL4GC7p16Y4T6pk6SUr2yld1uK0TXyla2spWtbGUrW9nKVrayla1sZStb2cq+LuxrFNEFQFcYHxiBwv3hOu69twcAeOXKFtKp4eU3uJi8t1Bod61wqe/Wk2dVip2bBsVyet2gKlRZoeQK/FordNXoKARukZcfa4lmx+j/KHK4Z/lS0FajQk4hxG7kQZGXb6uG0qNOF4AkDpBZvnIFjFNyvvndOPKRE/0wq0o02IZ5q6wQWdQXV+9jLTBjldvTwiGNFgIIWLFu8N+fHJbQ8yGvhMLhVfYjVUghISkUrzSIiOHHh3jah9uk93td3Ly1xe8erTQerRQsRTC9IFxqDolly+GTMVbJtMJodAsAcDC5gPsuGeTH5Vdu4QarKBGv0d5Co9XlsfoSkUXUKYWdG0QebNA/SgVFf+q1fXgUppQRsD1iJWdeod1htZzaDfNSI2DFU6FCmVMU3BduexMiaBpxiIii4EVVIafP6grYHrOS7VHYtdtwqKEtXcF7xWhwPf/0M7h4r0HLvPbKZQDAmYsX0N8xOgij0RCqMOeWCoFTPIbTRDH8DzfHGFDPpXVhA1Peg57vo6TOU6tp0H1CCCdc3my10e6YinDm0FbAZDpxPpeXS9TAs8+Z6nAY+HjgfiMa7knhBETPnjNi5L3+Om4QdRaFEU5trvN3AV67dg2DodHyOikbjYx22e74Iu6/11QpX7lyC8Ph0JwL/X9vodHqEGHneyitXlEoMd818WaTsakoSuTUvtrsBJAUzBWhxi59qV8ApW1B3iIyq9QI2S69VCUKVhCjQEJZ9ALv4yDQTly30QBSIsWqTGN3YX5ni6frnQRFZn5/UFUO8XVQVoh5v48qq1Whl5qBtdbpC2hEjI8x/33rn/mz+NTnDJLmueefR5KY89caePWq0aCwGm8PP/iAG/tLF87j1i2z3fd+yzfjmWdfAAA89thjuH7d+MIDDxgtq8H+Hraos/fFLz2Ls0Qmdno9/NIHfgUAsLFpWpYXWqBFH/3BP/AD2N036K/90Qxnzhp017/5hZ/HiZkqMR4ZtOTO4AIeedD48osv30DBlvRWgHl/odHumDEJfM8hqGZlhT3Gps11E5uG0wUk25FfWIsgWMlvRhI7YzOWbS9A5VkVXnOdp6lCmJg4pXSFinNd7AmnR2n1Q8JQQxCy3GyEyIjazQuFNGUFnL+JQt+hvGZViYBz3b7V1AQw5FxXnxE6kE7wfqE1Ym7DziH/v2kFnQ+WP9B2e3oJBahpRY6owbS7u1ub35Z7rKolksfo/RkLeN8oLDVz6s0Wcorjo+b/h0vdwmhg6joy7G6a2c9kaOa54fQcHrqvBwB4+ZVbaM+J6GUOcbDQ6PYYF3zPNShIK4Xda8bvzpwyMb0qFSqiVDotHz5jU+lX2GPTHH/qwSdaQkeMTUWFhILQeVWiYjyJpHBzgRWVjwONiAjSIAmR05eEAgYzG5vMMfaaApnNm/IcHSIlBmWFQBzOm3xt9DMBwFPaaekUWGoXNnhu/3gwq/kPvgLAw51yl2PeF1/mM+Cw39wODrxdi+mNMK0wnpu5dHt/isceMaj4q9d2MOV95GHpT/2uFfEGFNEnMlTYu2XG5+ymQd6WZYWSsKhW20fAvGmz7eHyDfPdoAQC+lOHCMN5rpHEFulewcJ0Yk+4e7kkGjMIPATKHEOQhMg516lKYEitVAf08wSKyjYoKtElimu3VGgxduxUxgfXdOKacRRlhcwimSWwznjT5rz7v968CV1ZXS57ZayJw/8KcTjfro+7E5jXx+TaOPzel0MhCoHlDK9r+5DurRMxDQAKgwOTN01m53DPpQ4A4Opru8in9CUbm+bAWt+cR+VJ16AprVLsXTNx7Ax1b6tKQVFfudXynC9VgcI+m5gFiwqazQQENThnRYUmY1OhSofSMvPcYV8Kfd/pNoZxgILPdGUJDKfUZeWprrUix9ZY5IWLTaO8hH/kmQ5KQ9mhG44dK6YQcCjWkIPyk3uzGpKrNlB1vbdjEcZHrY70OsaX6tCtut7bbZJftd/qo/uzV2OF7lrZydvX7kIXPECYw39mLjF62jwA9ZsB5vt8iKW29vr68jS1Kl0SvtGN0WmazwJSDdOsQoMPdANPIWFnp/m0wLk1MwlvtBMX9IYLJmOzHILimf1OhO2UovFSQFn6D4OUyiq0SMfxtI90QuFLoeHzQVbYmFAtqYK6Ktzi1hkvxCOkbk34+QE0Su5rHmmXj80qhTVu7oOxoVpMBweAJr3sqHDpkYmykSSOKgQIRyk7nLAvDzok7W/r1k1H9zi0xdu6xwCAXgr8VpUTFzfddt6Y5M1SLr84qTD6wqsAgFbiYX5gFro8Pk1utKXrMJIXGWzPw247Qr9jnM4uJmW5QosUnLGnEHHinE0LnOqZB84L/TasOOMtwq2LSYZGxxxPrxXilSEFLT0BP7T+TGHeokKTFNpQCKQU9BVCodM2+0tI+ZFaIeSxhdLHpU3jGd5kiq2PfwIAMLhlHoSu37qBiJ1terKEoG+2lcSYFMtffvAxc00Oprh1y1yH5557xkH0VVm6Lmj2oTBpNF3iNBoNnRD0+bNncPmKoYhpVSHgAsc+FxY838e73/kOAMAXvvhFjJlIKw0ccIx80vX8MFn2S6sqPPusoZ2+9S1vxZlz5zHlAsHdNyaHPL8vHKQYj8yx9Vsh0iHPhbHidFtA8rtpkbrEqdUM0SA91iN1Jw41QiY3k1mGkM0B5rPS+dLDp9egeOPfJK2onOZI6EvNxMetA7OIoT2BkA/nkpyzqlROKFdoDwtSuqUvkHBxI+PC5WSWIeRiZFYo21wIF6SPR9kIoGIsyKCNSDWAiS9cI4VKAx4fInt/6r8GAPzUz/4crr76Is89cseWxJFbIFW8Tm998+OuG+jlV66g22a3qyzFE/SVf/iP/wkukuL3sY9+FADwpscfdwL1127eAuijz/6r/xPdbtdtDwDe9OgjTvz+7/7o30dI3/9Tf/JPYHfLFFtO1rSLTc8sBGZPvQIAaDcCjCnuTC19dFoSwo5JmblFgl43hifsYiYfZKRCg/40muWIGZvm0xKbHRN/z611YGPTNhe/immGqB26YzgYc8FKLjtWWYHtolBohmZbJXxkEzNWvicg6Rv22c1TGt2GOYZb0wIJ54516eNhxoKC288BRw+6HGh0mTgvKoU+56df98x+p+k+bKw0HX9t/FSua2KzZR6qptOpa0xghJ295e+OFe9drjgUrjgjHF2l/jCQsCEGILFYzGq/5xwpBFRVvQHTnblWz4wKTL5ofHytFSLj4j9vf/TXpYvjeVk4X2q3I/RtbLIdykSFJue5mee7WDGdVVjvmbHrNBMoLibsTYwv5dMcMX2p0wgw5PwHWZvnhF0orNCMGVe0xoLznBQCDVIhfbcQtMybpBJIGGPXPIkH2iaPW9iOsUq7zmXT0HMPkKVadsd7Pxdr58UCzpded6Du8KB4KP/5Srbjfnj7IsZtIuN3okrefTNnt8zbXhznKJ41hbNW4mNOOnjEvGm9Ld1jbVWVjpLVbASO6mpF55Wu0CCldSQqdNhpMVtUuNA343e213Sd7vYmxveKWYGYi17tZoDXxmxSIACfi88eKbhlqVwenmsfczvXQSGkVERBX5BKI+ICSDWt0KY/eVLiUouxiZ+PVQVBf9oLBCJ70kqjwXH5F6SuzbJZLQWuU71qi5ZuYUrV3pPHLmixrdKRN+uLHjXfO7QwWv9Onf5Y+/yQf52A1RbZnl8Ao2eML621QsyYN5ERj/6ahM9rnJe562LYbEeO0qiZ55ZaocmunXPPd890i1mJdebHvVaCSllfsrGpQMx8vtcMcWU0MofpC1fUsFT9oqzQikxsKrSP2dg2W5JIuBibeDYeaVeYXqgcMee5vhfgfNv4UsrcbqiUK1ZNfbi5XWhbMAT+HbueTuc3cez41P3KvXd0wUsc+fvLmO1KS2+7s9W3c+QZc2UrewNtRV1c2cpWtrKVrWxlK1vZyla2spWtbGUrW9nXhZ0ooksI8b0A/g7MMv1Paq3/lzt87z8F8PMA3q21/uzrb1kDUGg0egCA+9RkuUDtKYwiU93pUTS0lMCIVeck8BESejAvSnikh424iu+FAbZZ+ZbjDNpWxwFkuYEYT9MKkGbFffemqcxKIRESHquTCoJriFVVIeDqfCOw29JY2PbrCujYVfy0dEWaNlEcpVpWnbuVwnmu/vthgKtEyDzEavTYF9hlxcPXgGbVoJ1V2OOS5s8PbZvZOlLqCFz6CF2jqqpDa/MJ0RpaVSgoDFqVpRNHz/I6fLZWBbcQs1rFqI6itii5MIodncUcwgnDpgn/T5oG3fSQXkDx3AtZoWBJrg9W9DyFASHPjdCDoo+USjl/mrPCGEQh9kjjqEYZOg56LJEXxucGC42YqIft60MekkBR2Io2IIhC0KoC7BiT/oFMYsz2y1IB3c7Sn6zeZJc+WKjKoS1ONz2cW5htTF+7hgcfeggAEH3BCH6Kfh+jLVOZkpubEPT/B7YHeJ6oln/48c+b40KJiGiqZrOJknRDpfVSpNkiG6sSSaPlXuf0oTRdoN02vnzPpYu4fNkgVyw9rNls4Nw58/rylddwa8vA3KMwRMB9nz9/AQDwu977LdghEuyDH/xV+ERpPP3Ms7j//vuW/nUSJoBGw9DeHvAL13hC+wppRDQVhW1z7SEdmWPZaEbu1phmJeZ0eDUyqLpceg4pqMYFWtaXpERZkjY4HyKhL+1eZwUSApoC5kVPwfdsbKmgPFJ26FOB9pCSbii0QKdl7vU0K6GJZAhsVVEYWgAAtJRChwffjAJcJQL0TRQ4n3nAAeOfpxQUz6NRaGzz/bf+Jz8AAPjP3/Iy2u0fBAA88+xz+Nt/9+8BACaTMX7oP/tBvjZ++b/8zb/l2tivra/j3ktG7P9nfvbnXEvyc2fPIM2M7776qkH+aiHwqc8+CQB433u/CY8+apCJL770Ev7y/8cI4b/8smlm8qN//yfwwP2G1vu5J7+AvVvG7/7iX/0R/ODvN8d8cmaoKE02ynirTN3ck8kCqXF7N9flvsLB0IxfFHiIiLaolAIYm1LGJj8Ksc/YpMeZo6YVUiKnP40WYwRsorJDf5LSQ49s+1FdcFYpWJ1uuhg84Tt/CoSHftegMdI0R8VJOyBaJvSXFd+2UrhomyJEHorUHM8GUcxDDxhSaBpKufktVBo3WGb/mT1SgtQCyzmujkrQToNecT6OoshR5ubTqaug62r5Oy2EQzotC+PaCftrrSFZ8ddawSdyzSJb8yJHQGhCkRdLNprWJ0xdNBNd0jS+dL9XQDM2IVCYheYaO1/yFIYjc8+HgYeIiIRCaWjPznPmGnthiF0iNvVo4ZrHF5AoKPg8nhdIiHrYujbiIQn0iJpRYtn0RqsKguMbUMVZSB8p5woPAj2bN+VLKmGL17hQlaP59Ko5zthmOkmA3bHJ2c53l3nTDvcRaI2K+01yhX2idP71tqW61xrmvK4dRTDYXOjo+8d973XoZ8dQao//+6RMmOurNdpt+lNDuuNaoIDwzFi1LNzU05hMLK1auqYpVS1vmtk8PAoxoLh3Nc0cdEbAg0+K4HihHMJv+8bYHhW69CdIDSmsz5aO3+0zzkjpH5rrukRmLYrlGAfSNspY5shrlUaPY5jHAYZTzj8tE9vyQGKH+0g0UFm5gRLY4u9+amefW7sDskYffW3ObukD2vm3rh3bbWgu4DDlsS5if2j/x3FhsdyfkDhE2b3rZs63SV+6UM2heM9mokRG6Y0mfUn42j3TBb5EaBtkKQ3J3CIlnVmGAQ4sMHecOmZNoSXiyvjbcF4gIbrvlo1NEGhb2ryMIYmqLqvSoV4tAwfCR1YufanfIWo0Xz47NQMbm5bj1S0qnOaYZY0QQ8amDcuCCCS2XW4G5IxNzazClLHp/7y2x60dGZ87NkKp/11/z75/HHXxdv8wrrRsiGAR+4ef08TRn9FWlMWVvXF2YgtdQggPwN8D8N0ArgP4jBDil7TWzx75XhvAfwvgU7+9PWjMZ3zQ9deQWtqAlkis1hP59505YEOXjoCMnTQiXyAnF9/m2JUqIfjwFjdj5OyCuLc1AromsESxD4+dXTqnDVVmsDXGmTNmoUSXOXwGodALUDIYTie2o4yPiMTrSnuGIgEg7ESwHU8SJsLp1shxxxtnetBTauYooCI1Y8Akbcdf6oCFpULOGORJgTYn/3upLfZM0QRyPm3fAbba6/cAAO12G4PB0JzDdOaOt8gLxwkXUppFmEOmAfdeDbqqKzfZ1rtS2U4jAgJpli9/d5zmwF01s4/51NCAQm8DC7vOpiUCUqskb5dkoaGs3lokkJHqGkceCraKsR2jiqpATj5+sxUjp0/ubw2hOuZ8u60Iitpspy8YH7p6dQ9nTtGfqhzSt0m/B8mksOBim/K169YZROFy8aETIef1HzNRbIxSlOzWVyYeznIBrfzkx/DFz5hb8Il3PgEAeHl8gE80jL/8kW/+Fnz+4x8DAFx6z7uQcDHsflImX1MeytwkfI1GA4OBeTD4gz/4Q/j0pz4NALh5/VWzr7JESj2YvNatLEszNFtmAaxUCo89+jAA4Du//dsBANs7u3juBUNpi+PIUYWKPHcPlreou/SxT34Kb3n8cXOM992PycQkwgcHB7j22jW3CHIyJjCfGW2zdnQKUybOQnsu4dyITFIdFRoTu54ZacwXtnuSBub8HROIViRxMDMPluvdJiq99KWKdI1TfYFyYX53+oKh5l2/PkCwYeKULDN3rZLAd3TUkvsqPI2AD7+BH7p7vdWN4RdLLTEA2H95F5q+FK+1sTaz2nAaHiloRWBh98Jp/0hdy8E8iTPsiPijf/P/AAA89p4n8AO/+9sAAAejKf40KY3/+9/+P/DLv/hLAIAf+H3fDwAYDoeu41SWZbj66qsAgG6vhwmprXt7e9jcMAn0uXOGwjgdjxFzsfbU5iZ+93d/JwCg1+s5LaWcMej06dPIGCv/wp/975xO3LMvXcH/9cHfwIkaH3imY6PRpeUpRIydSRBhBHOMujTj0Ko0FK+zHwnXba4Reyhm9QIEkJUFssJq5SXIK47rrSFKUl07rQg+OyGeoj+9dHkHnfNmkSD0AI9zVRwCkol4Tgpaq+1D0h+l55tOngCa7SZyUpYDJvXe7hSCFLTNixuYD8w1l5XGkAE15kQ99oWbsxtKY8r7SnoSF7jgdJ+5xfBsFnKx66hJNyUtuJCmtcbGJqmWVS0Zr1F+BIR7uLQPm57nOQpXUeQoi8z91H7XZwwuixIRNfOCIHSyAM1WEwLAdHqSsUljMTXU9DjYQFrZh2UBWzexi+KNRYXcLmrHwIRzWzPxnS9ZilamKlewaLQSZNTSOrg5hOqZ7a31IxSpGfOzF83cdu21fTQ2jS/pKnM07TAMnC9VNg76ylETgyBwenBBFDnZhJi/VzeGUOyoHZ7robC0tEoja7PzH2PTrr/U6IrKChV9TXkCLWo8XeKC/4ujHBA217zt6e0rty/LFDqS77hqYO0jp5l0lJaklt89YQ6s1uZesPqBYbCJgvmG1B58FpR1xTkiXRKdglhjzLmulfgo6Vv2VBdF4TSxmq0EBeekwdYQPc51vUaAjLHlDPOmG9f2kWyQcKoKaC7ONhIfHuc6m2tpXzu9Nj8Il93xosgtWli6Y3ljCE1/0mc6WNhigQJmnrmXW6Q7LiKJhOcRFUst3cITiJ0/mWN8fmgXvMDFpFqB9+hipqi91oB2xeD6+B+TKx+lyR67SOrV3jpmG6o6uqG7bGbRdDY2+Zvv91HyGckXHiR1IgU1JYNUu2K0DIEZn8eSyEPJ+Cl4Hy+qEjnnuVYrQcYcfHDzALpn8tf1foSCSf/Zi0YD8+rVPfTO9AAAqszdPJcEASQXTSv6kvAVPMbCMIhczA+i2OnyJnwmLK4dAJbOeM86Fnym05VG6pk4Y4s++z6QWv3AUrkuyrkvEdCX7mOnymd36wUdHL+m9bpj+Dq+dGgR9PDz221tFyHusLsT5+avbGWH7CSpi+8B8LLW+hWtdQ7g5wD8vmO+9yMA/gaA9ASPZWUrW9nKVrayla1sZStb2cpWtrKVrWxlX+d2ktTF8wCu1f6+DuAb6l8QQrwTwEWt9fuFEH/+ThsSQvwJAH/i0Ju1ReGf3uri+zsG8tnVHtI5EVltrrr3gGqXXTAKAepAYjFKHYxZUBBVZQr9dVO5lgpIWZmVsxx+ix2D/AhghSmjQG/cj52QtARgG1UVlRHZBeBoJHmeIyaqIlYCE6ImqkIjIjR3wc55Mg4QsXqktcDEQryhEY5NJeAS6Wezjuegy5kUcHitqnIdGJ+5cZXv1qGjR6qCrBYWRDQMigEKVkQ8KRzNA1ohokhwtlgcg7w6gsbStfePlhtqFcisKF3nI3Hbsf7O7Vh/qlXsf2J7DX+wbbq0xbGHBRsORC1WZroKepeQ9kKCDRExHSwQWSgzRSyrVGGDyCxUGhkpQXKaw2+ywiNDeERTjAb0442mE+7VWoMMMxSZgM/Ko0VAS105n04q3yGdVKkRWH9itT2IfSSzZbeWbSK62k0P1bbBPXYffsTs90Pvx3n69Af+1b/EA/deAgDsfPELCOjLn9sygqFJI8ali4ZWODg4wNqaqYp96Nc+iCGRNRZp5vkBYiLBLArAfF5gNjOosMl4glsTczwXKCS+t3eA54imEdDods19WuQZMlLTbLXy1StXsL1lkAvS87G+bqiEa8LD1tbNw5Wo34Hd5ksaBl3Ae+gfXGniD50yiI1pXiBmbWGcmDHaWPdQ7BAhUEikjBWLee4ESz360nRa4NxZc11FqV1swiRDi+LhuQjhcWyG7ObT6Mcoq2UXH+dLuevXAY8Uj6rMsVCWxiMxJ9JF+Aoh6aELS5NthfCHmTvvOYWEvUhgNjHnvE5B4TQI3V2sBJy/9qoKPn1hzhj1kz/xE5CV+f1Ll1/BzrZB7sZRiD/+X/4xAMCVV68AAN721rfiM5/5DAAgDD0Xm8qiQLPJ2JTleOY5AyS2iK4XXn0Fi7nZRwWJt7/9neZSTmf4S3/tfwMA/NiP/i0AwNlz53D1mokH08kYb3nLmwEAs/kCv/d3GyTYH/ljfxR3w46PTe5/+LHrffzXZwzyNAkVdMFqL+c6v1lB7JgrneUC/Bi7g7mLTZJivVWqcPqM8SdUS38S0wyClNO59iEZI3b2DF00WUtAUB9GaYaQiKwsKxHxvpoSQRylOUoee0cDOSvSk2mOBivcc/rmtKpwep9SAEpgwbmuhEbB7rGniUDK2iFOEZEXhsCcqNBTEI7G8uy+TT80lnT55X0vpXQC0w12hM3zHDeuX699l+i4IERZLBFxFsmVEI24WCxgNf49z3fCxkII912L3NJaObqtEMIVwqe2KY26O/Pdsb4ECUu/+8c3evj9PRMj15oSC9LKQs5zza5AukfafS6Q8bAmezMkRFvJLinxaYXTp808VxUKGVGRepIiJVQsWwtdB87BwJx/a6OF0lKitHZdE7NUI2Qsn/H6tKsKJalfYbHsZlfmGk1yiTLSd2TswxsZfw6UwIJom7HUSAZmHOI5kfZdH/b+yn1pG/XBV8qmeXhxZOlB+hjq4ZezOuWnlvMc2sbRuUgcAnHdmWb0ZfZxCP3z26Fb3tmO+pOUAkotxc//0ZUAf+isubbtAFhMGQOaRLd0PaQHNj5rUOkDO/tzNNgp0WuxY2Ja4fSamd9VpZHx3lPTzKGI5yJEQnTOkHlTY62BEhZBrd0DznSh0OI1n/PftqpQ8bWXV65JVQEg8mz3a1IpkwBgDPK1wCxiB1qhsc48fJOoot0kcgTXJPSRkhHQVBUyxojnBzv2oi4v8KGOinV/Ucv3at+3TVrMnFcf96NWg1CLo7n3ERTOHbs2gs88JxSbnL+aff/c8Cx+T2SkKzoNicWUsYm+1OlpsNknylK6eW64P0OLY+NTaF6lFc6cMfmfLrWToNHTDCk7CWdeBF0yNxsaX+qfaqGqdeiVvFbTFCBYGBnzuaaunD8jLx2zptRLds4CRJUmPsAYJISHOY93V2isHRgfa3Geu9KLlp0WQw+qsLl/5ULIs3s3ueMjY+OahlVwmBZHW/3t5r91nzkONVj33fpPjqMzrhBdK3tj7avWdVGYtnV/C8Affb3vaq1/HMCPm9/J1V2yst+RrfxpZXfLDvuSWPnSyn5HtvKnld0tW81zK7ubtvKnld0tW/nSyla2sjfKTnKh6waAi7W/L/A9a20Abwbwm1yxPgPgl4QQP/CVCdIv7Qxy2OX0G7sL3HPGrLcraiMNhwo5SyyiVOBiOZrTHPIU+fzsVZ4JDUW4gQoDjMcDAIDfDeFTP+TiqS5SbtBPrMCghGYVc5rlyLmaHguBirpbjSZ1qUofC2pVeFqiIOpB10QiBRE+1SRftrsGoFiZFJVC3jUojtmCVU4FZFYXQQABK8Oh0njKp2qxba2ulxoih5BXGq4SUBIdkS1qrFK9FMfXurpNaHy5keV2bnstgCMlS0B6qCr7h6qJat6hwnRX7fD2L1QzaFZO9g8qrG8Q7UdE0nCsXZUORYHS6vmOM3j0p6Aw20ylhralnjDEmALpfj9EQH86vdZCyv2tseJXKAFhkQ5p7tB5/VBiRERNRCEIVQoIlrSE1igozpuE0vmAR4FhH8CZmFpJgY94ZCrrXuAh3Gzx/AySav2+h3GaulpXowgfu2WqkN+mgZf6Bglyzz0UWM4nuPLKZQDA+XNn8dgjRl9rMBygumqQFdO5qZTlWYYsM+gQaAWPYtdaK0hqwvS6XZS8nz7wK7/OyxciobZNt9vFiC2cL128iKtXDVLRIsSEFEhT47ebm6exuW7QBtu7e/imb/xGPPXU53Ei5lzJXOMLXo6Iw19NFcJN6nhQt+tgoFwlUC9yVPSlZJQB/G5AjaRCAsqWLoMQI/pSuBYDrIhvrLVQcoM9HkupBDyiAw+y3EmWdgKBjO9HMYXiSx9TirhWorLSNyjSDJLbtfdpNk7R4GsReIDVQNEaMdvBVwwdgdbIiOYRWiJgPPABvNw0Gj1ve9wgCX/xF/41/ubf/rsAgPvvvYTPfO5JAMDm5jp++Ef+ZwDAu9/zLgDA5ctXUFBPBQs4cdTReOz0VbTSeOc73g0A+NKXnjHHVZZ46GHTfOFv/PW/hg/8uw8CAB584F5893d+GwDg058x+13v9/C7vvV9AICXn38en3/yKQDA7/m+73XNEU7GBJFICrZa+2CQwec1XwwrNDY4H9DxhmPtUIGiqJxeVzDMIE+b+ztmbFpIvdQXDkKM9kyJPOxHCBNzT/a7TSjur1OZeTXwAnhEeuZlBat+1Q4kSqJHTvfYhCBVkEQDK99Hni7nC2pKQ1r4w6xARTThpKqcP2mlIaktuaGMnw+Fwi3bbMD3cYoCxHFe4fOlFb2jiq/OcajMzPtCKeW0ucqqVinnNz3Pc/pvZZ4BREp6QjjE1pwxDajFntr/AX2ksYpBZtuGIPo2Meo3wIhuOyty29cEB4MCXcYbi7wdjata3rTUpQyHKTR9iX1/oCTAUAIvjDFhbIrWE7TYHGWj13KxY53jVZaA5A8HaQEOP1qBREpfase8omqpSyO1dtqYWnoupwtKc27zcYYG41UmBFKiJoqqQtUzvkSAHWINpLV+N1ZLMKgUPmuFzQ8hYg5dTCx/ecxH+st8fsdt6Fq6dGR/DqVxVA/H/v51kBd3yQQ0pFAGGc3rddErQe12jEYl2uts3kP/n04LZLyeuu5P4xwqos4fc+9KalQWrRqGmO4Pzee9GFHDzC2bvYbzJ4YbVFrCr/lTxfmgGwmkDHZN83MUCoh4bB405szDc6FhTyTgNZyNMzfXpQB0tGyEsegbf5ql5ruR1pi7dFjAjmukND5jbyiHwDrCpNBLH7h9/A7HCotK9zzPXePjTbvYdfjt2m+slq70jrjjcYicEzBt0WVm56fyKYLIvB4NC7TWPR6mOc7BWEPzphdlBUoCIhpmUGdMbAoLNj+S1bIPVhhhvGvQmUE/Qot6fRvdhsubNFk+lZIub9pf5Cil1S7VUJyPmcKj0kDAWCiERsrYpKSHyMYmPtOloxwxL3culUOVRZXGYI2+xNgUao3MPW8tH7OCCnjKATVtFD8euakha2523Hzz7xsn6s90r4Pyul2NfmUre8PsJBe6PgPgISHEfTALXD8E4L+wH2qtRwA27N9CiN8E8Oe+4kWu2n3z6Rufw7seMrQqWSrM+BDZZmApAh++z24w8xwHFLlsxT680tLwuDAVSGgKmnookRH+/s73PojTPRPVtrbH8C1tgpPcZpDg+VeuAAASz4Mmzl8lHvgcD66JYVxpSPKHVCnQYCDzARSk/ISk85RSoCC9AlkJQVqGmGUI2KFGk6KTSoG4BmGOGHzmgYfYIVaXVKPjBVGXwahwiwbSLUAIrWtCu+LwZOlg0HZndUqkrgU+eeR3QF2gvt6VEUq9MfGxBtn++LUv4D2PcY02rxzy36NYZeYJR3mdzgrskSrYDn349CfboSryPWh23RIqR06q6zve+yA2SEm7sTVClBh/SjYMFWbTj/D8ZeNPsecBmdluGgo0KWLf5MLB/qyA4LVNc4X9hdnHNz3yJjyweQYAsJgZ+mA+HqN72pxbMZkho3h7M0iw+VazGDC5/DIA4NZrVxDOCfNeP4W3PmA6042hsHjRHNv+vvl9u9PB6dOnAQDnz53Dq9cM/WdwsIdLF829eZa0sd/40IeQU9xbqeoQbL5kh67ReIQxO+tZylWz1cDjjz4KAHjPu57A7r4Rcr388it46eWXl9szVxtRHHNbY4yfI+2q0cCrr11HdlJi9Eeg/5++8SS+beNB80deoiDPtUnqcpkKSMamcZrjgA/QrSRwC/UJKQqBJ1Cx809RpCim5v48+6azeITi4Nd2xmixe1SDi64tL8RzLxsaQOR5yLjIXoS+69xJd0UOhVaLArxzYHdiFkITIeEReu/z4a0BAc0Ftior4fOciukCJRfLBDu0Zp506ZgWGg0O+sKXqEjj+OLTZmHpj/6xP+o61H74Yx9Hgw0Rtrd3EDIWPvusobA2W230+mYRczgYuORfCIGIMTqOInzkIx8FAJw7b3zw4GAfl18yjQ3++l//G3jxJdNhsd9u4Q/90A8BAJ586osAgG/5lm9Bn1TcBx9/HKdOnQIAvHz1Op5/+TJOzmzyD9ib5Dde+gS+5xveBADwCu2amswoaKu0ROib34ynBbZZiOgmAUB/UhSHjjzpYpPUBUpSc976zQ+g3zLfubY1Qqdr/GizbahEiQjw3OWlP43Y3EXFoXs4sdQNLwQyLpzMC4W9sfGnphCwvLCQi9etwMOktIt0ZiEeAOQkhZiZeHHTuALGnkRIPxyXFe6hXywizzUPMQtc9lLWHiCPWbRwi6VK1eYheYjy6Eu7kKtwdFz8IHCvtarcYpHW2s2dbr1LCoT0zbJUrkPt7fPpSZnZx6eufBrf/i5TkFBZDo9Cz4oL68g9BAEXvSYZthgz+7FvVqgAgDlWI5AQpMkrXSAfmnnjzd/yIBL6xI3diaMTt1lUiUWAZxibYs/DJCW1LfQRH4lNaa4g6dtppjGcmn10PAnNB0vQl+LAgyL1VaalE7ZXgwyNEec0dkabShzKmwJen1nooymP+sodE6evwF7vgfIreOB8Xf94Yx4mNcyCqBYSgvv8xGtP4j0bpliBCk6z362VVD48dmKczgrs0J+6kQ/NxXBB/m/iS0j6U6VLZGMzZm/5xgewzth0c2+CJruwNulPiQjxwpVXuQ0PIzvXBT5s80fbxbPIFHK7QJZpDKYm925JDxkXVG3H9FbkoWIs8BYFAsoKpMM5fEqLeH0zBy884ZomKJhiNwCMAg89RyE7ZpwOudayg+Uynxaod0+M2XGyyDO4JPVQwRm13y392HY3F6K+D36uqjtv4w3plGf28anLn8L7njCFKJUX8FgB1BTNl0oCvhnb6SzHDRYs1mMfms9/MiR11hMQpA+qKkPBHPzN3/QA7KPV9d0pem0TD6wvNWSE514xsakR+BjTl8KWD+9IB88yU6hsXSUFxmwadDqKoNgQxjZaacQeNH3JXxRLCv/eFOs8Nsk5dyGXQtqVEOC6GopmjI5tXHQItFA3LgTeVWC4OPL6OD++0wLaV7Lov7KV3X07MTF6rXUJ4E8D+BUAzwH4l1rrZ4QQPyyE+IGT2u/KVrayla1sZStb2cpWtrKVrWxlK1vZyv7jtBPV6NJafwDAB46895fu8N1v+wq3egTeCwASz+RmhfztMdASZt3bb5hqzMFwCkFIU5746MxJ/YBGxbbGF/pmNT/wI1Tc/vaVbVy42DXv6wp7u4amsDNcoNvlSv6QgsbtEjML3fcAYdsSlwKaiIyY1UgJgTHf0z7gS8K2xzlmrBB4TrjbR0aUVyAkbO23SgKAgq6DKYVde01WmwGhFIZEipVC4oMLW9GxuIo7IVqEE130fSueXyAIKeyczt03Dwn0CiyrQxZVIzwcXr0/ZkX/ULWqBsd3RYHaHydWCFCH9w/gKfrIu1o+QmJRmoQ5X94dwUsIi24EaE+J9ILGjG3XHyS83vNCCG735uUtnCbyxlMVdnaMP+1NMnRZ4SkHphJUdRuuRTsABz0vSgCkZ8SE17eEwJzXdior9Hmc7VYPA273zLl7AQDXy6vYPRgCAPLhCB1Cwb1+jAWbD2wQNXR+MMLQNiTY3cPNXg8AsJkk+AW2cPZ8s6+3vukR3Hvvfea7B/t45VVDJfzd3/09+PBHPgIA2N426K/FfIaIiMUKFUqiA85fuICNDYOW+b3f9734jQ99CADwmc8asfFOp4dniOS5fOVV5ESrHBzso+J5JIk5nihOkDhE1wTpwvhtGEXIs/FdE3w+3paiqoDCZ+gf39j20ZImNjXZrv6V3RFsL3LRjtDidZ2WJRas7j1y2vzGk6HtKYHZjX2cOtcGADyw3sCcyNNZWsELzfUc3zJxo6j5kgAgGZuyEohZmU4I0S9rXcTTCFhfM5XFbGeKBWOTRT/ESYxsaAS0JYQT8/UjH1OKAw+4rWbUcldHQyO1J6I9fEKY2PK2C/cCAG7euobuBUMJ/C9+8D/FT//szwEAXrt2HZcuXgAA7BHNd+7MGZwlSuuVy6/gS1/6ErernLj3fD7H2ppBfU2IEpTSc7Hyc5/7jBOmnw4jfPbTnwYA9OmLX/ziF7BG6mu3/WZ02Njggvbw//3r/ytO1myZ38ZAgQ9RsPY71zx0pPHxPmnsn7qyhYCIh7Lho0Gq0FRp13b9LBF/nhe4BODmy7dw6oKZ63woXLtpEKA7kxQFq+h6ZK7dWq+F0jZjySoEnCfSTKFBhNgGq+k7mf01kIUKm/SnYm+KAZFMZxkLPM9HxjGLpOcakhShh2Jg/HO74n3caznkTVGVuMrXrSDEL44savk4upl2t2YYho7qmhER4AeBQToAqFSFpRC0hu3BkjSaSNn8wtISy6JATPRimpZuu0LUaIo21krp5k3D2CH6C0vh+pM1i17S+OTQHMe39ANExAs02+Y8Xt0eQDM2FQ0PLdJGJ6VCRQThqab5bixjR/O6+uJNbFzsAQBCobG7ywYjswLS43xy3Yxzv9dCSYH6tNTwmBdlBRx6vU1uq8ISFZf6Ct0eqbSjFJWludLf/cBHRlq+LyQWVo4hCRDvmdg0HlHAfL0FoZcC5hMbmoTArwwtMfe3My7Le3X5s3p+cYdtvS7gQde+c9w+vkpmczit8NSeuebv3EyQCHNfB0SrX98fAaShVomHmHnMVGmUzJvOts2Yhl4IAq/w2su3sH7O5uEK29zHcFbA883v9m9SQLzTRK4ssnJJZc8KICaqJ2F+OtNw1zH1KnRIsS33Z1CcI2OiRqM4xnRgfDYUEkM6Yh56CIkgmvPzxkbLbVfoCgPe0z3p45fH5jvHDrWof1K7rsdYt9/HaDgyXxPA62IWanFF2O/WuXDW/6UHfYiFcfRZ6yRNwJ2HVvg0G91801qIkG1zeg3jS7cGEygiRauGh0ZhxnakNNT0qC8lLja9+uJNrF3oAQB8aGzvmTg+meeI2NDi4Kbxr7VeEwXzprnS7pkuyzUSznMN5k0Lpd3jT+ZXaDOGqmmxlHQgFTcIQswpeB9AYM5rPGv46O8a/5jRl1qn2k4yBVphwLypowU+cGBp83cIHMei/OoxyAa6GnL80Pzz+ghUO1/p/z97fxptSZKdBaKfmfl45jvGHJHzVDnUIFWVqqQaJJVUJZBEw2K1AKHuhm6a1c2C1wyLblj93uP1ohskoAViEkiNaEQjIQlJgITGUqnmzMrKzMp5jDnixp3OPPho9n7YNnM/554bkaWKm6pKfP+IONePHx/Mt2/btve3v61kab4tnuHS84GXPt+eRhmVVHIzOTJEVyWVVFJJJZVUUkkllVRSSSWVVFJJJZW8lfL71nXx9y5MR53niO4UXqAM/wfu3ERu2gQTh4PIGRSRQAaBi4AQL+M4hzBBaGUQDxIBRcJPne6A1T3aV6JN2cuNNQ8xcXDNJpRVcSQk8QxMVYZ2QNkEJweHQVnpKLYLgCiKIHhBqpoqBse0DKZtCbjlnVF5BkkRdJFJ+O2a/R2gOboi+n4zYyDQERLG8HRvaMfK/reY6SYxWdOcOF0YY4gM6W7pN3mWFn+XnoeN8tOIFl+Y/0scXcuy7outao80Y6n0DZcTDuB4gVBPH149BoeyKANC1jWYwIyIS4PQQ7ul9WkUZXAJQWVIlV2mLDnq5qkWPNp3lig0iK/kmOMjmhGPzVhncuDkSIhUXnKFFeKi8N0chlmT0wWHYNiPiFOCCyjKAP3673wSn/gD3wsAuLqteZDufuhhfPk3fgsAcGpjA2yo7/O1l1/DyRc139AVylbNmEREL8gJMKwMtK6P+n083jUt4bUi//anPoNm48sAgFqtjtUVzefz+BNPWP1ttjt6zLpdRIQUg5JY6ehs7bVr1/DoI48CAC5dvowRjYUi/Y7jCPfeq/mu1lbX8LnPf0F/n+eWNNoQDE8mE7iCiPKzBA7xmfV7XdTrdRxZhnIRkcE4ntvZBQB8x8YZcEIpDIkPpCUcTIirxK0VuiTGCdqmfwRhYjyHgZNtWjnRAqsRMfckw5rhURIeYtKlaKLf2V2eYRzReLscdZ9Qb04Ol3RJGGLgXKFLts3jCjP63RgMHeJMYkQonkJCUsZcpLkl/g1kjuMdfT2GHmIKBeJAR6gAj8Yp5gz7nr5Rg/h77fU3sLHSAQD83Gd+CVeI7y1NElwg/pUk0uN3xx13WJv50IP3Wa6tLE0tX1ue5+h2NdG6IiSfRrXpa/jYx74LFy9dBgA8+/RTeOGVV/QYb2vS2l/51V9Bs6mRmP/xP/4K0pke17/yP/8v+BN/7I8CAH7hF/4Nbr8wspVAuS34U9tan/7giTswI9skaK57ZLWDqxFlhR2ONnFIDmYpPNIjQ0vpOAAjTryNky14Lf0cJlEOn+zNhhtY/q/Bvj5uxnN0h3r8A5chILSv62QQxI8liSg4yBWuT/QJW77ChDj/phLoEOp1NNTjyR0XGU0+TpYiYcUxaoS2MPxwCQd84s9R0xhrxHkVA3iir5FnBs2hyhlrFPNTu92x29fv1GjU69evYzDo0/h4kCXuJoMwm82mxfFU8b7HseFKUUUzlTnOPnrHPM9eTRIX/CoMAOcMRwo2nROG54nk+7tOnQUjHqshzXM14WISm8YnAitE4j6McxCtoKXqgiehMn0vG6dacEmXxrMMtYZGyzMvRDQlBITh8PPGFpmbMYmVut7X4xkETMMefQonVdidGd5CgYi4KPejFHcSwziLCr/J+DFc5hZVJ7IcbFXr0szw2zHNIQgAG5mEb5DwnOOZfo9u0DyUObg5lqMpljgsavGPW+2zTBbPfdg+b/qAX6NwMM6hTPMLwOrTt5xowhAgTaf6OdUcFzOa67xA4ETH+E05XMq5R4R68VwFEJdu+1gTjbbxmyTaLT23CC/EjPQpJg6/gaeQpoXf1KlpfeI8hTC2hfwRP1MYkN9UFwwTQnUOMoU1Ipv3ScHjNIOk3zU44FOzjq1xhLSpdX2XSMBiBotYPss8cJoEMzA8QeuUpU9GlfRiEd218KvBYDjvJ5d5bReFsQW1KaO0zPmE3WKaTekmJAUy/S2REmLxpX29ZvnIsRMQ1IRrQuuimuNhSlzBbiBwalXrxzSSyInncUK8tq5b2Kb2yUKXpiVdcoMQ8ZTWdGN93r4vrW3KucJqg3wankIs+E1OrjCcFfyrEenSKJY4GWp7o2hbxIo1HaS0yEUvk4jXDPKdKjSgEJHvuiY5auSDeY0anulfon2XPBslS9tvhfYrzvfmpIQOtIiuggtMWSQZK+bHuTU7W242K6nkiOQbMNBVluKF2xvrRXhcP4e1OkGipxqCKl2GqSkFjFJI15DgCtAcDIdIRwXniMjTbIU+OkQw2V5ZwZgccm+aWKJNQQvTZuhgRouvwOGgiiDwNIdHBJuJmWgdF2fXCII7zCBpshU5A4sMJJq6Eo1TdIigdcIZagaCn+aoEay+tqZLmKYMWCfofiNX6NK+z2UOZG7Idk2pYdlpAsozoXBM9yXqLOk4yEw5oirgzAocyxw8VSa4ZKaEowhYFOfHwpy7BDZ7W4kUDxEz+dtTSezSYieq34GVOpFskz7lLkNKXTqdJENCTnKtLkDxCwgy9g5cpOQsteohOh39rFbX19EzUPhJDlC3IUbdxRqBgwmdr+YKCGZw0Rl8WpDYRaHv4Z7j1ChhJLHf1e/CJhN4+bOfAwDc+YEPAgBe/OIXcWJ1AwCQrB/HSRpzJ2jjwcc0GX36pA4gxRcnSGv6ei8fr2N1XQev/t1TL4MLPT6Gq1dmCXa29QLTcTiGfR28SrPULjh2dnfoew+mdJZzjj51Twx8D7/5m78BAGi22ogpamV0d21tDR7Bxy+cfwOTiTmfA2rQiJycYwZlCaYZE1aXFRJMJ0UHzdsvzNRMmL+wN9KO09D3sEKB82xS2CZT/evEme2w02q5oIpkJMwEyoGEFnKrdQ8rpEvHT57A7m5f318/R40cm5w6H7Ybju1A6TDYwHsyS1AjglTTXIwJB8da+vfdiUQ2pS56jovcEEWT/czHKVbohyMAHYqgRFmOjMqGTqx1AAA9h6NJBL8NxTEmG/KyFFBUlvsr/+lXAAB33nEW//rf/jwAYDyZ2DJTJXNbKmZszDNPP2PJ4bMsxT1364DFSy+/MvdUjF/pUPmKUhJ1ckD39vZx6ph+J56WOVJa3LcpAPsHHv6DmFCg/7XXXsGHPvABAMDf/9EfxX/4D/8eRy9qbqGyS8HpnufiDOlTTEFN5QkEynQ8TJGQGW02HBAP/JxtMp11m7UAKy2a69bWsNfVtkn2p5bTnXf0orHtu+jTnFZ3OByjn3EObkqByNZnTODsKi0KBwk42bkTvo+YAqY5LWJGgxlWKMgacYYm6WSa5ZCkT/VVfY09wJL8NiTDHpWePicFcjPXzZVjlBqkkO5MJ2PcdffdeqzGevwajSYGFNzI89zqTbmzmZ7LMH+OhVIQ4/Q7rmtLs82e03IXY/tbGmPGiyDZWyB7/T4AYBbei9XQ+Bx6LHIHSOl5iUQioYhTLRSYUoc5M2WnTCCj979RC9Fpa9vUWF1Dr6vtdD6ZglEntMa6/r5WE7YbryccuKRLaZzBD7Re2GfgeqBpDr1Rbu3R3fUaYgrGZtTBLB8nCIiWYiIEGnQQmUh09rUusQ2tSwNe8psk0Cdf56lJBGXbtZUXi1/FKu1gbdqb+93cT8olRosHPiwYwpZ8d5uFAVBy7iz7NCdPBLPBoozaq+acQSlTYqrsvNZoOLbLnAkKpYxbfVqth2hTkKG9to6YguX+LNJRJQCi5DeNyG/yBbclqWmcwbedN/VvfN8HxUcwHuXIKIi64TiIiIeka1rmzTLUSJ/iMACjIEs9k1inhgw+EZTPGLBG+sSUtKrz1Di2zXYK/7dUPvimHlfZhzbBqTfhy7DyB7m4saSZrKB1mIuZHrVNojnOku1L7HZ1omnqncMqzRE5EcLnvHiOIlFIKc7n1zhGlJM33dClcGy3z/V6DZ2mtj2t9Q10KZgWRAkYBcY4JVUavouBow8WOoUuJVGKJtkm00TT932s16jjcz+DS+T564GLKSV6XGquIccpBDUSm7gOJCW0m7HE5r4+X7pJ8xwD1il51FRUbgvg2Rv9Ili2RBhygJft52JZYzkB89U+2xIoQhbPSy3aJKVKisVKJY0HL6eSSo5SqtLFSiqppJJKKqmkkkoqqaSSSiqppJJK3hbyDYjoMoii5VHov/fFZ/GeY2cBAB9ao1KaWmi51yOmbOvg0FcYUvYuivS+d9cC5L4ON+dpirBB8PZ4YrPmOzeGiKjdceu0RrncGE6Q5SabLRFQ9lO4DqZU5tYkIk7hKCSxjuIncW4q0cDjDJIy7C6RarM4g0fok2CaQxGiRWZASsiKfcqChVJnhAEdPPfp3h5xFCAJusZKmW0rZRJchlzOZ3yyLLO/E6UMYy7zgvAQKODTlEkokxE6rl9ktmVBXGhh0uVsTqm0kQtmURxHL6WMK43H3/7Ms3jf2bsAAB9aoXbFYQ0O3UsmOQjdDOGkGNK1Tmf696uNEMo3KLwU9ZYeo0k0RjzRqInt631ERKDcOatJr7cGEyR5AXfrEBG443mI6IQG8sw8hZQg//Esta2t2SzFONYlWxef0YTu7fYJeNSCPRxM8DK1Wo+uXUVwXBN9t1/TaJi6UpCTvr6CnX3EhLz5QN3Ff8x1VowxjfJ46MEH8Knf/TQAXfJq0DD7e7uWjP80kYa7rovzFy7QtjN46EHdkvzy5ct4g7YzGDJoWF24ePECrly5Qpuk1Ys4jg6YAzUHj1aWYBpKwXEEsvwIM5RcFJVNJdX94U9/Be89qW3Td54gYtxaDW5m3jMgI5i6clP0Dfu1TpLjnacbiDgpW5ojEloHJ9MhWKyz2PvbfYz6+vP6OU2afrU3wpDQMw7nCOg1O1YP0KOSDwIGodkIIRMzrhkklQGINIWpqWJE8o94BkVZ95Ukh0NIUE8yZISc6lPW3ssBz5TZKQaHUDcPihQ//uwzeiwo4/nKq68hpeOmSWKPCxSt0c3DjeIYN27okkfOOTw676OPPIKXXnpR31OzZZFLOb23jHF4VFrzLe//ZnTaWl9/7Td+C31C9Hzmd38HAPCP//E/Rkxo3bVOBy+/9joAYDqd4Yf+5A8BAJ566ks4MpmD/TswyvX//q0n8f7T2jb9obNE1ttqIqZGGkwKxPTMYifBiN6XybSwTSDblKYZaoTk64+HGBPx/Pa1HqY013VOG9s0RkZzUgTAobmu7rmYGdtEz7rd8JESUiJLJSIixG+wHIJeDkFk1bMkByOb14pyuGRvQsUwJgTZiOa6AAzH6PmpTCEmSOc3exz/VJm26wbRJWFzegxgND8lSWLLYjtUat1sNeGH2qbFsyk4lT9KKSFKpZAeERcnSVGCbUrGuXCs7dGoMEJs0+/zLFuaTdd6/tahucryv/36l+w897FT1KCiVoNL76mUHAnZplQkGBABt0j0PW226pC+QWMlCEmXRtMhJoTY3d0aIKL5pn1G69JExnBoXNJcwjXlz76LmJAOLp3X9Rli0qU4zjEmRJeTZ5boX1E5bDZJwAhu0U5iuAalninEpEvk8qEldaMfQPsbIdm8x0LTuAeYR0q9SX/kQBXhIb9bpG8on6L8u7lTL0G//77AJFgJdV9AHX/s8y/g3ac0uvZDp/W7EgYBGKGsHTjWA51mGQbGLlN9+0ojBKihRZxkaLQNDcEUM4Ls7F7rY0Yl1O0zawCA68MJUkveXbxzvlvok6ExcDyFnCooojjD3kx/f04xuKZxRE0jxfJZCo9QQeH+GAlRELi5woBsT9jS99lSgGfOqzg88mPeVw/xDw+83qUNcygbuoEDUkZ0GSfjTdiMOaBfgTa3tChLDn8QjXhU+qXItyij27j9/Hc+9Sy++ew5AMB3nCIS+FodrjQUHsL6glMWYURzXn+sb2azXbe6lMYpai091w/GfVuls3u5h9is6c5qXbo2GCM1PriSoMINBJ6HmUFhCYMOZJjNzFoyxT4da8VxEZhqImpWMh7H4LT+a44ScCpHVLnCjGzTmPz9toL155uOgw599mu8tPYqvf+0TSll/aYsy0rPn83/5JaygP4rVSvQiey5DVVA4fvK0nlVSU8PX79XUslRyDdgoOswKV6iL+9sAQBOtHVZwrk0RYM4HJBLCIoQzOIEDVpcBTkZmzRDQN0aWQKMyDGvhy44GR+/5WE00oYspH3lJLU8ENxxAOI5Gsymtq46MZ3GXICawIFJBWMfpnUHHnX8SKl00a15Fh+b9yO01jWsdjuOERDc+zg5Zl2HIyQj5HLNoQMAX8oEQB1wIA3XVmnMSrUYfuAV/Enl8kLjuCtlJ0cdPCgmgoNSGLM0SezfZTNng1hzE2yBbdU+wlvhwB0+kT9+VfP3nG7dCwA4kaYIaXEmwJBRHWuSM7Rp4ehJ0qc4RYtg9XGSoU8BrWbNgU962FytYUgLgFZDHzcdxpYbTDiOXjwB6Ecz1GkyNP0vay7HiODRSirryCVtD/mVvt7npHFoMgwpKBLf2MO3ffw7AQD/4ed/Dk//p18HANxN78rJ6Rg+TfTvYQK/+crLAIBfSzn6iX7eJ0/oBcsLL72CDgW3ZrMZTlJQK8tS7O1pXopud5+2SbgUkEiSGJeIHymTCjUqJxuNx0iMHpqOk2mChLqdgS10fEHR5Yy+LulWWWcFlTceodNWPnSZHwPAExSUuWNVc42dcVLUKKgtFJAycpZShRZ1inUz/eynoyk6G3pfKTkahoMsyWGMSHOthm2CvwsqcWUzwCfHXDgCTdLd7ckUTdpnQuPjMYU9KgPKJQMz3GYuR/2aPm5CeuvWPQyh9Xm1FwFUjj0GEJIjd4q6Fu0IjoBsUwCFEdPX/iRcy5s1nZX5iszzYjZAboIOZZF5jsiUWLse2lR+N4kiPPiOh/W19/o6GEr763uTePe73gUA+Cf/5J/agEWr3USrqfX4tddeBQD82T/zZ+z13HP//Zar5Tu+47vwzHPPHbim2yc6qcM4K8q+lZxbDH3x2iUAwKmODha/20uw2taBmnyW2DK+OMtAtEnwqHtenqToEL9MkjIMqcun4wQI6Bm31+roDvREs0J2rDdM4Zj3TDgQ9C53oxlaZJtmZNDrLseY6i2yXAH0/dAVcK/pshGq/EGrGSCa6ev1BhHYir62UZpZd/s4JYV6DJYzKxAMtEbFp2YprHO+tIOhgqTyZqWEtQtjKtdLkth2G44YK/QQhe4wzkrcWqXyHzqfzDMIpwiSuK5PvzOBMtjg19xcmGdwiOfnSGTZFFdaezx+VScRzq0/CAC4g8eoUeBIKSChLr95lqLlGwJQWpiNp7YDYxoLTKg0h4mgmOdWQgwoCL9GfF/d4cgGJjgXcOn+B1FhmxKrSwx9ohpNcgk4+hp2Q4HGFeqwajrDNn3s0WLzbDdCvEH8c1BYoXs+RsmhfY/bAJsDIKPn+Lhpoz03UAuDNieHDa75sxzUMP+rg7vNHamkIYdOWb9PAa5li9USZ+vTW9cAAKc7OoB6jmeo0dwTOA6mFKjIsxRtKjkVVG+m0hQr5AtlOcOI9KlVc0CvJ5qrAQYU6GqYEu5RbLlLGXesPg2jGdqG8sHoE2cYmQRhpiBId7qCI6S5LqaSuUbDxz7xyrW7EdQxPc9EeY47SL9NgDTyuH3XBQrb/cmB6eBZGqdDedcOCQbM7VL4OuYItVodU0qgFqdiYDahXPgnao6jyxxz8bxvke/NSJ/mhqI495euXQcA3LmpbdO5OEGddImDIyEfXOUcpDYQubbBMknRqevPaepiTLoknNDOc521Gi6RbTptfPBRQol93aHYJMZG0dTOc5kyugR0Y329s0yBC2ObHDQu9wEAE1rTeU0fu+Tz3L0/w3BT6+hUSZyk+z1JycZtn9n5SDGGjHy+z+6NcMAOKT0aANBZXcWQOkwrlP1i4zMfFnQvc3uVfOxih1JwS1pghUTB1WfWKjrmVnQtLo7C59eWlVRyxFKVLlZSSSWVVFJJJZVUUkkllVRSSSWVVPK2kLcJokuhiNkxMIoiP3pcZyPj2Qw+lSvkSMGIKV6IDPWQ0AkzHVX3Q2GRNInrIR1RFx8VYGaqFJQDSZHsvV5fbxQKKYWnV5oN2/FMcIBxk9Em5EHsoEHdsDI3QZcyDOu7U3gGhEKkizHnWDVlOr6DISEPnDiDT0iXgBCsG3mGLnWDmTgcTqa//9dXtwBVJqE3Y1ZkAkxgPcuKssIisVNGqahSYrLUPbH8g9I2bqGy3BKCL+OcnxMGzHXruGVG8zbIHCJNopwtMRnCd53Uz2w0nsIThEhSGRQhGupObsuvvEjrXr3pgpFu+mGAdKyfQ6RyjGakFxmzGcDeUKesM5WBUVao1WxiRoS9ggGKysEMGX08A1qkT8phuExoQ39rhDqNWXRFZ1edzhqyXGcWTz/2KFKTWaq30L+gy3hq+z0AQDP0sUUErlc4s1mg//v6daxQk4ZXX9nW4xAn9vG0mnWL0trZ3kFOGftz53TZXrfbt10SPc/FtesagZnnGWoNXRL5ze+5Dy+98qp5BACAzc11vPzyy/YpKfuMini9QYoJ4SCjc2S5RKvZsL+q1+rY3tvGWyJzCVIFRnXKj50mlN80gke2KYXUUEwADs9AFaZwSZdaTQfClAd7AkMiVQ5qAr0xdfSZZqBKSEypO+Awie1zPtlcseT/NYeDkm8wPZumUY6NDY0IGo0TvGLKILszeAYVR6ibSHDU6bVJBMDoHF6cWbi9Kfc4lklsUynQxOXglP3+V29cwkKdjhkp+qDmysduJnmW4hKVonFInLnjTgBAvRZgSu9Pm0oUA9+3BP0njh+3v3v04YexT52xvufj3w0AePa55y0a8dWXXsLGiRMAgF/+5V/E/ffff9Nruh2i5kq35zPuZq77lnNav50shcf1OK/WGFZ9rWc3pvsIiVjZjamBSsMBpyfv+i6mfUJ0BQ4GhBCNU2Wzuv3hQG+TGQRltNutJmY017lMd84DYBO5kyjD2prWJ+VwvPyGti3sxgjr9LwF6VPuOWjQrU4F0MgNyX2KGs11BmF6FhKXHX2NnitQh573fvbKZWApOXNRzlQ0SOEYUaOIVnuFjuUgJfSfLu3RP+OcW+ShEA4yadA+xbORNIcwKCgqV5IAmkR+PKSutatr6+j3dEl5luVwaCyV0mUmNyMZ/tpkAdK1MPdyENXBCW14VAw4hLzMmYIkZEFLpPDIUQkiIm5ucAg6oAhDREP9TMPQR0IdEWTG4FM5jZnnxkkMTrCJlVbLolFcBsQwTSjocmOO9TWtz8zheI3Q9vHVAdZpzHJqUCBdgdDMjwLg9OxqcQ6xoEsbsww7hGyMHA5JY/Sz25dR7nZ6c1ny/Zt+jIsIMY7lOlxGU9yq9OetKg867CYZGNmCh05q25SnadEJWUn4Ps3VSECgZohIP99m3YFj3lPftX74OHURJ6aksaDq6I8Kv0k4xm9q2G7hHlNIqNTPUClMM4k1YqPnDsfLNIfOrg2xYdCZ5IcLX1h7tM0V1kmf2pmypXLrRIniJzm6K/q9GHAOl877L7auF+NlO9PxOd+6eGaHPLuybZhDtGuZTqfFb+0UmsMlhGmaqYI0vNxVQ93ivG+JsJIrN38dxm96YIM6P6cKrrFNyCGoaqblc/iEhHfIb2rUODg1QfA8F5Oetu9u4NhKiDgp/AyjS4lMLZqq1WzYhjQchS4pq0sKxzeo+7DH8RLpUnqphzrdQ06dkVPXQYtsUyqY7QLainOY+kiHdO1sxHCDkPKJIyAa2u/+l195dQkqqljTTScTSNuMqUDKLVI/3Ey0ehjjS44ic63uci5sZ2uUqnts47M5KaMHfz91rJL/HKVCdFVSSSWVVFJJJZVUUkkllVRSSSWVVPK2kLcHoouJEiKH2STFiLgx7lsNceFqHwCgHAVFWZoUAKcsTNvUXCdAStAtthZaXq7p3sie7mSnhhm1zJ5Ry2HuMTSbOhvluw6Ur7MJPor6+Jyu0ecCjMgMa8jhEMJsFjgAZQJGlJVQvsBrV3QmWMQ5GkRGsua5WGc6S9Oh5PJ1j6Fu2mgz4JOUrWduDSohcosFEvoDQzlXnn9I9rC8kyWeL9dgm/245bNhkJbvRNdo25OUzrEsO/gWFHEbngx7KXzutIabpcs1auD+UyFeu6KRCbmQIJoiJDGDQ89i1RBMpgyziFB4awECytiM94Ywg7DeDhH1dLbIkDUrF5bbq+Y7cKA/ixyWjymjbIoDAVBrZFflFm3B6z6yXZ0hn6X6wl4+/yo++tHvBQCkSYbrOxpZcDKRyEONPHiI2iQ/PRugQ5mckAGvBDozq5y+JfeNI8NVV4NPBM2Mc0zG+rxSFYiQl14q0FiO4RwbDPGuRzWX0t7+vs2QvfHGGxYVcY6ISDU/ER2gxDVBJ9X3bAiswxDjsf6973vIKOv6yEMP4uKFCwtIxNslDEUjhRJKSRmCVWbvaYeIid55ag2vG13iGUAk+SkYBCEOVgxHQwJEZDfEioOa0OPd2y10abMdIiYU1oB438JQoEW8a47DsdrUOUaeTe24GZQgVxycztEQ0vKkyChHtqef6YiuPfcFxHWtt06cw8/0eVd9D+tC/65N93PZU6ihsE2fI73ibg11atJh0DU0VPq6voq25kopdLtanzc31rG7swMAaLXa+M6PfgQA8Fuf/BQAYOYKvPqqRgy6rotOW+v++fPn8YEPfAAAcOHCRX0/a+tot/T3V65cwd62RgOurW9ga+vGm76+r15K3CVzPBwFAsSgjHZpLnj/6Q5euLALABCuhJgRGi52kJjGATTfIOWYkm1yVwOE9E73d0fUHQTYaIeY9vSzjAl5JQXQJttUDxw4qrBNTBg+EX1dLnMwpoYHAXKEhOJAkCLtat0x3CXwBSTpWBSlYKn+ftXzsEIK0aEE8tjnOEG2dAjgd8nusqANFfVpfErZ6yWcOFJm1g70CbE3EgyNps6a1xjDYKCP5fuBncvi2bTEdVKgJywnN5jdF0phMCC9JjRmr9dFwSkokdFzcRwHnOOtS3gvgLENYrKntB68+1QDr14i5BnPwHKad8BgemI0aK5ByjAlXj5vzbOcV5PuCARox/HVGrKRRhOnE8MDqkq65MIh/APLplAGyUlIMykF8sTMcxnaxI+qEolsV+tKVieOOCEQEOI1j3P49Lnhe1gnxGOL7uFqyFAn30wyjs8SPw4THlS+wFf6ZsT6EQtzzGG2bJFqR+YL+lrecdHHWn5IIQr+uVsAYb92OQSRZPymfXo3v/nUGl69qvXJdRQYQY+TjMOlYzTJfnhSYNjXY19bq1kk2Kw/safbXKkhGurnGpE+5U5hmxqBA49plA2yKTjNoxIGeekiJX3iMoVn5tm6h6w/o2sj7qdQoE46hDgHSN+Yy7FBfvYZup/XfVgy+9xh+BKtEVbXNtDd37HjMz92ZgiXoK3mdyh9LiHa59RkAQ3FOFLy/1R5x0Ober3VxEkL/E0HroHZea5PnJ/vOrGKN65qv0kJCUZNMTIloAhFftzMNSnHhJrxBGsOQnr/B3ujolpgpWYbG8T0vCSXaDcLXXJJl4Rk1jblRpeUg5h8cOQZmlRZkzRzROSDS+IJmzoM7V2tSzLO0Noj1KHvYcXYJrJB19tCNwICkDVr+Aoh0JjwoWSyfCgBahazTMduYcdKjcAUBMAX9pcFv21ZPTljkMbPXYpGLc3Bhy31KqnkiOQbPNBVLpUrewv68z/8tO669Tc+/A60iCi17jvYHWrDk+YKE+q6MpbamKhUYY1gvhnLkRHBYK6A0NOLRVcAqyt64dPNtcHiXIKRszSLEzCCnqaMgeemDNEYEIU6OZPTGFhtaAMRTR27IPfodvw4x5RKiVa3p/CJHHY4muIYlaVsm4UCL5zVLAPeTcbkp7IYBy3LXETLlhgmcWwDKay8z1zF47LJ9iCkurxZlb9fGhRDUSYwR7jMMNfZ8SiEGctbgnHPnV+P6d/7pCae/t+/81E06Dl4rsCNHsHmoUC8yxiTc67SBE0qc2QsR04TmGIKnqMXkDUHaLf1JNpXhmxdWVjwLErAaPKWYDoaCyAxwyWABjmTSQKsNrXjFU8dpPSsKF6LdqbwwtNfBAA89OC7EI9pcXPPXVh55TUAwHlapK47Alepa8JUKXw40HroMYXrRDTrmi6geY4pBb3SJEVAnfmUlFYnXY9IPpPYdlQUwsGFy6aTosI7HnjAfr54VZ/j7ClN0fn4l59aUBv9h+d5OEdlat/7B3UQ78bODh5//Am9V55jQGVDCgxxluPIGnnOBSLMhlIwl/TqH3xK26Yf/u7HUCOnyHdr2Ca25RQSU6NLHjk3aQ5BzoTT4kBsnGIJl4JevsPRWdEByRsRBTmVhCDHO0kyuEYnXBcgeHtCtilVUpPbA+hPM7RqFHgLXRBvr+0oJeIMMdmmle0p3IZ+5tP+FBk9/73AlKcAsDYReFhSaUg6sYTAc8NYsjE367rKOS/0y3VtF1cT8AK0Dr5KxPKm1G9t4yRGE+3YTiZj7Hf1Pf+BT7wfk7FOYvR6+3QtDHtUzvgHv/f78Eu/+AsAgDxLUKd55WhEHbSVc7a1cCj/9m98BQDwk9//XqzQNeUMGE9osZ8DisZ8pEyHM4WQFpCM5YhmpkxBIqCgdd3j2FjXc91+qo/lMmnL0GezVE+OAAQXtqulKe0QPEWdkiH70xwbbWqkEfvIycGvmdK9WQK5rvWpvT1GjYKzvcEUq4G+pz2aGH3OMTRButDHN1G85f+JJ5h730pDqTcpG3BqNhq2ZHxE9iHPJSZUimmaIABAHM/s/FSvNzCxhM/FYqIIzkq4rr72XCrb+c0Ev4RwkNHiRUlZBAelQpZnRxODNxdZlvKCo/TV//m7OiHxd7/rEQSmQ69Xw87AlIdJxPROjk3L6FQioOesWIaEEnJRpmzZlBBAvaOf7z4FMQUUNQcBoiiBpKCfVAwwCzzT7cwt5s8kY1itU7Ax8TCT+p0NTEOgOEd2TNvB2tYEjmkI05vaTno7RDOgBANofk2Q4RHjp+XxkgDXoq+5RNgtvl/ctxQgNdtU6eulgaTD4hO0Pc/yogvakUjJLtlrYfO3TOPwk1/QXZxPfuRh2xU3cAW61D3R9zgSKkecCSoly1JLNyKEhEpNR1OAUzDAd4Am+U0DqX0PwQt9SuIU0nRgBEds2mMbfWI6eAoAScpxfEUfdxj7GJNtatF8kkYZ5AltB5vXxvA6+rxOdwKP6B0uUcJGCg5BXUkTAPdQKWV3f9faniKgpeaev6Bgm7GvczJH43GYbinrt9s5lJUDXItRhq+HiEP5vuh5cYE5f5zkH31e+6g/8l2PwfdpjgpcdKlLcA5l/ZSJbWcv4VMwkvMcaWyCRbBl/oHH0VnRtqlH1B4uY9ZPnc0Sq0s5GDLqtMnIsWZMgZkEYMbsPJenPmY3tN0k7AKyKEN0SidTOldHUGQTve4Efmj8JqKzkDk8aZoxSdxN5PlKxsWYmaQJl5bmQJoulnNj/GakvA6SsKQWVn0KUIkqdQnVp10MVpaCbUx8FddQSSW3V6rSxUoqqaSSSiqppJJKKqmkkkoqqaSSSt4W8g2I6CpF/8ub1ME/FBHGPrEzwnec1hH0bjRDQtkSj7lYo1bsCUFb130HF3s6O7DquWi1dVZwxCIMxjrSf35/gLWWzgR4joloM/iEv87TDEHNlJc5UIZUlzIsHBxDynh6UpmqM4w8hg7dhyFKzesunL7OVu2mCVojyngphc9NdKbgYa+jf6SAlLJ4n84Vfnqbss6qRDBfzvIZ8lzGICizL1VWSk3bHZciaTTyShSbbbbKIANQOla+AOk3z9CQBLPi96xAUb1lWYAyKvDAKSlrQySLj28N8e2n2wCAfjKDS2S6HvPQaepMX0blX2u+hyukTx3PxUpHZwWnLMKISmTP7w/RaVIpF42X7wAdSgGNkgydtta3WepDUsrKNLB3FUN/QtnKOEdKWfGhUAV6h65nHCSoE/H2k69fx5k77gAANI8fx4zIyx+q63uIpQIoA/vanffgz76kEVbNeg1xpO/JlOUmSYKUEBCMMaQpZdYZsHn8uN4nprLcCbclj1mW4cxJjdh67Y0LOH/+vL72yRTra6sAgE995jMAgKBWt1m8OEnhUKlVmqZo1PR7/Nyzz+rv0wyCru3cubvw3AsvAADuuutOfOW55+cIXG+fLEEqAksz/CrXY/G5q/v4+J3rAIBBGsMjMnpPemiRLuVUdrDqebhKutQa+EBD26YxIgh6vpcuj9CqU7lpSKTLLtAi1Oc0TTEVhPqEgKk8MqSrQjJEU/19AIaYsqljn2HFEKjGhLRohXCJJLibJKj1qF08Y9gixMsDfofGAIjoPflCKvEze0T4zYuyhK9GhDB2jFsy6zTL7PvTqNesjp0+c8aidGYzKk+IZhaN1Ww2rG7+9ic/iTvv1OjAhLLy/X4P73znuwEAn//C5/HxT3wCAPDE40/g0oU3vuprf/NiEIDMVhBIKYuSqBIBLFJ9/b91aR9/9L5NAMBeMkVKsM+zbh1Tsv0JPb8138HVnn5OLddBSPo0ZRHSqR67i90RWjVCVtBct9b04dOxurMUd53Qv7vaUxCcdIcUywHDcKrHsSWERbzuBQwNuvbZlNq9t0N4I31t3STFlPSecY4vTrTevzfUNiGTCjmVYH4xSvGvrpvyQBdQiyUdBYrLdQR8QhtKJREQvcGDDz0EADh//g2LRu33ezC2X+bFuE+mkyVIH0CV8oaOq+1UOpvZBhnm2zzL4PtEMJwkFpH4VVTp/t7kQJnUITuk+tl/5tIuPnH3BgBgkifw6Zn6SqBhbBP5TauBg2ukS409FyGV+kZihjEh7y73xmiQX2QYD1xHoEG2KcoytGkenCUeUoPiKZWJ9qmsKGQAo3HdDRU26DkN6Hqc1Tpc8pt6SYrGvtbBjAFfIiL8ezZWAABMKiR0DZ+bJPjpaz0aD4aDpVRzNWLF9rmxLJfMln6+9PmW/Y5iZ1v1eAA9v/DQyseduzSGo2tqYM6tcABltATMpghh9dT1Pj5G+jTKErSpOQkD0GxpfZKxKZsHrveJzmHPxdqq9t9nPEZGtvpKd4h2Ux/DJdvkOgyhU+iT8aui1AOjBii2jYRi2CeqiBp0hQcAxAG3ZPR9am7grtdRH9P8lqRIicpkCoX+SOv96bADAHAUx4jelc8MZviZHaNPAAzKqFxWRudiYMizvPT1gj+6SERfphYpQQDLSC7zs6LUGgtyK/ThMr2/3bLEbyqvWUrfSWrG9dkL2/jYXVqXpnkCh545lx46tKbLyBa0PY4t0qVk10NIjYlmLEYWaV263B2h2SDkKemSIxjqhKCapSlWjA+euFDkG0AYhBXHDvlCbcEREnXJjbrEMUNyT9fjrjegiBB/FCdo7Gid2GUMV/oaWXzquJ7nHO5gTCbo6X6Ef1qi/zDo9Hlftnjo88/8zT7H0vesvFY0di6fP1a51Jax+X3nKANKkOdynf/XA6Cwkre9VIiuSiqppJJKKqmkkkoqqaSSSiqppJJK3hbyDYjoWiKLpIoUOT67ppESD/o5zl/bAwA4oQvFdGS91Q5xZVtzubRqOsPaTWdoUpaonilEhADgAATRsfgpMKDofX1FD6HHOFJCbtVbDmYU8WdZbttuJ5St4gy23W0muEVveb4A39DZhoTQGJlgcFyT8QHOra8BAKLxBDOYDBUh2MDh0LG+HcArxCP2xRtDzNdd24Gyw2dQQHNR+vJ+hierzJ/FOObaJKMU3TcHtttK+849Ll76PUq/K2U5j5RNlYExNpeNN9utEMH52TU99g8FEpe2NGeP1ietC82mj+u7OnvXpFr7XhqhQfrkZwrTSOuTkhJuoMfGjySiqdYNv2X41jj2aNvGWt1mxdMkg6AhjUifprmCQwiqnAv4xLHl+QLBms5upcRHIl2BmLJi7dU1y/m24rk441F2lLItMeeQhKp46OolvI8yYZ/uRwjCkO5Dfy9lBo84uKTMLEonzVLLRzMaE4Er5xCUja8FPq5va4LWc3fcgeFQZ7TOnTuHNInt/gCws30Drmv4rFw4DhF+KoXrW1v6njodAMCjDz+Mv/pX/hIAYDwc4t//x18BAHz4274Vn//iE7h2jToI3FY5JKs1l0zT93KGdOmdLWF1SYQuMmVsk4+tHT0WzZBsUxIhpKxjmJlW4ppFQbnU6EIAY0I91NoF2rJH2zbX6kjp2SRRYpsCJNSgQzEGTteYOQIecXh5Hgff1PZEhqSjbtEEAWDoEJ8P4xyrtNU04FCMwyOExocZwwvE3fXkpMTjMCc3T/XlZGs5R8G3ppTVywcfegdefFHzoH3py09ZYmRjZ3Z2d9Eh1Mm5c+dso4TNY8ewt6/nhBmNr2IMMb23Fy5cwsWLlwEAD9x/LzbIHhv9u+1CnBgG9XMASURIpXPHNGryfW2BC9eIjL7uYUbIwUbLR7Sj7yehY/SyCPWGfv5BBkypfbqSCkQxhSBVmBCqIWzpc43iDDFlsu86uYY3doiDhDEwY0fpWQ9jaYnLpeNYYvJ24CBd1SgOFRCfieBIDCgYwCrpk2Acx8ieZoYolzP4xKv0LRx4hpCyX9ld9hwKJEyWS3DDA5VnyMjGuI7hQcmQpIRWZaz0Gi/q6CISYj4TPqOxBJjlLTMZ9nq9ZlvZR9GsQDTyt8Adm0NLz30BRvPc6RWt0+/uuLhyQ78LTs1DYmxTK8ANQqm0zTw3iRCSLtUVt34TlIIg7iIvASaE7gtahJQD0KMmB8fXakjpmeZZDkG6HdM8l+YKXJl5jiMkmGPNE5aPC0RGD1eAecTLA6BJ/p3kDB3jj9GzY4zbxh/f6jt4gezCU/0p5tBZ+oaWj6s+0MFtS4EUan77IuK37P/MAbrUkvf/9xESYVFF5Wso8/PQXNfRyLl3bYS4RHrDfQe5JNvUCHB5S+tZm57TVKUQZBfaXCAmfVKqsE1ezDAiJHvYMuTgwJD0Zb0dIskMZ21ubZPxwxOpIEiflOPAMf67zzElrkBGvluz5oITP5wAK3g1OcOUdGef7EqdMbh03g/WPLzc1uj/L0aG16+MsCqetYIq0dQW2w1ynYEhIeTu/GMvvc8KOKg7bAmSa+4HN5GFddWRwE5LqECj3yXksmBcc9MCuJPm23euBriy0wcAeKGDhHi12q0AW7SmCwn9n6c5auQ3BRJIrA+u4JAu+QkwIV0ytgmcYUBI+c12aG1TluUQZCtn5P9kWQrHoH+5A5+eScPlGG9q2ySpCoh5AoyQ+y5jCIiLMhMMNdJRs7Zz8hwONQF5j5PjEfLBnx3EB+Ym4Qjra4MVrMisZDPeFMiTuTf5jpcOUuLw0l/O/acbRpm5zZs7zJGjTSuppCRvj0DXHKS7eKk/+uB9AIDjrTFev6Sd/2wm4ZGTvrnmYHdPGxGfjM3pjou9np5M9kYTrHT0km3vehcnT2oHKBHMkh4bCGsiGOq0eJdSoUkkh5FSYBTgGU8I+swlJMGoVQYY6tGaBIZr2iCYDjHTXoSQJpd6I8RLO/o+PMZsKaRHHcOUkuBEOHzBdfHENd0dbM5hN+WTnFuCSlXaPm/IjKhSIKrczUMtTNhq4VcMrBzAsrN4+Xhm57x0DfYfQMGWfsTpUQQnlkiJZLEs3/Vu3R3wVH2MVy7o4Ew6zeFSGdXGmoO9rp5ofOpWd7zJsdfTC8Xd4QR3URnf9sUdnKCSH8fhmJKT5NuuewoOHXcapWCmFDDThMUA0KWueh7jlqw+SRSEKX8EMOpQiS0FsaJ+BE5jGw+7mNb1NVzf2sb6TB9v49hpAMBYSXS3tA7tuz4+eV2XPHKV4wSVG165fAmA7nI4ok6LrWYTQ+qg1+msWhJmQ2wcBAF6vb6+zyyzpM/j8Rgn6bi9/X10+327HQB8z0WWGyJRB2ur2oHu9Qfo0b5PPPE4ACBLM3zu858HAGzduIHVjnY2t3d20Gg0SqVvRy3LHcNPPPYIAODk2szqEqY5XIoEbKw62NujBWJdj9tmK0SPbNP2cILNc9rp276yh2O00Isdbp0LY5tSh6HmmeYXCRpEXM8Zw2BCJaSxKa9mmBHEPuQOzDAFOcP4mL4OExSOB5F9ts1mgBsjfSxHCNuMY42IVpWU9pW64rj4MhG960DOsmYThznU5PyaDlqy5EwBmFG54lNPPWXLw3QggZxBclBXOm0bND1//gL2KbgVxTHW1rReeRQ03dw8hijW7/DKygp6Pb1Ye/nlV9Cj9/loROkuR6zUiu9ACZT+4+PvegcAIGiOsbPVBwCIcQ5Bi4VmS+HKDXK+qUzoWCvEvrVNY2ye1fp06eoeNjf1cxNCQFI5oulmlTNm7Ul3NMO5lta9wWSGEZWCxBE1z5AKnH7X8hk8svttCGxt6DnXBFiifgSf7qrRDLBFHYh9zpHSe3//Wsce1wzJNc/Ds1af+CH6ZIZPWXvdWt3A1nVdjn3jhgmQcbh0b+kcIfRi2diSOXJu3+IhlUntAWAwSOf3pxvJ7X5HtAg4NFhHZ6WA28ce02Wcm+szvEYdPPk4h0N6sLEqrN/kkG1aawYYDrTd2B6McOycTjLeuLyLzeOUvHN4oUsUCM0EUKMyn8kstYT2Lrid53oDrQccDNw0nhAuUvLB3FwhOq4D3B4R+4+6M3g0jM12gB2aKx3OIOgYbV/PCUpJ3QoWwBVwPE2NCebftbJ/ueT5LHkntd+0bIdFf/X3UsbzdbBQXPQTS+V0rucho/nn44/pBjMnNiReoLmOzXIQ3zaOrXJ0qbqP+Xrj8XaA/kDbpkv7A9x37zEAeq47TvrkuhyMshzMUH0ACMhfnCY5QtInDxI5JeUGw0KfDHl3nid2yc5zQB0nsnnjg00ykMuORjvE/kAHSwRnNvHoh/q6cqXA6bhXJcPz4yLoXQxdaeyWdIwvl/OZ0jQpFTxTEp0W3e/mdavku84FJJZ1M/w6lLlSOGoWwQqf47vJBz/Znli/KZvmcGgO2VgT2O3qfWvUgOJYk2FAHTz3hmMcJ7/pxuV964NHDocSi7rEUKemLLMkh0ca4sii43mf7ApXDIkhq/cUKMwPRzHgjJ5LA7qfcS+CIP1wWgG6pEtccIQmuOmTPyelDWpuz1I8Zzr4Agdi71m2MF/RWPphCEVzYhwtW0MVhm7OMs3RSpSBEgv6BiwJeNuD6P8YEBIlwGwW2X2/zrWxkreJVKWLlVRSSSWVVFJJJZVUUkkllVRSSSWVvC3kGxDRZSLHN8lOUgbk33zxSQDA8W86bTN9aS7RIhhrNsuxQqVbqwbaGnrIKTPJWj6m1J79oXvXbMv1QdPDuE9ReEbE9p6DzNTQ5BIZITXVLAVL9D4GHp/lGXLKIAqXgff1+dIohUHNjjv6unxPICMIPhtGOEGlRlt5hvt8vc+Y4LWZ4OBEgtlPc0hDyivzA9lceRh0VGa2VO8gESoA5pQyRnI+A7VAIG+IyotDlFIQS5JRikoVdEttcyyJLDvKuL+ijNkCRHtuF/38/uWnNFror77/LHxClCS5RI1KuWbjzJZyrBCBcxA4YFRWVlsRGA51Wcyj96/CJ31qtn3s72vUkqSsoxACEelNjhhNypzzXCIam7JY0ieVgpE+MRfwRgTNn6WoUzooahNZp2CYUnnHyoTDJdJwORziXmq7fmFPo1uuHt/EuRMasbI7nKJF7dyHI2kRMAatkCSJHbbBcGif32g0xAMP6IzueKzfJc9z0e3prHme5egP+gB0Fvjll18CoMuoVqjkwaBH4jiy5YpZlqJWI0JkMHzL+94LAPiN3/ptAMCzz30FjaZGOqZJhMtXdCbs/gcewhe++DjieJGw+jbJAVUtNjAwKIK0/9SnvwAAOPOhu+ATkWqSK9RqBIkfx+hQyWK7TuWKgUBXkH40GUbUnv2he1YR+nqfQcuzupST3roOR045jVBwJNTCPYty8NSUMRLaNM9h2pOnTgY+pDKvWWGbBqtaT4QrkHVoChnE2KRM+k6a4r5A7zMkHU45g0Oosn4moaTJeX61QuiXvEBxmdIOKSUeefQxAMCFN15Hk0qQwjBAn0heMyrF3N/fxye++7v19fQHuHzlCn2fwaP7uHhJb9vd3cXqitbFVrNhy2ullNjd3f093sebEUYoiRyFfVpAhkh9P//idzR6sfGeEwipLL4mXLSa+n2ZjFOs0lwXGtvkOwDpgtPyMSbkwUN3ryCgso9R20e3q7cbRITnCkSW2DmDYcoXLEfToEUzU9JR6FOkUvjERq9GMU6buW6NyN+DDAkRAQfDGBtkY/ezHO8I9bs+o7KjXHAImhd7cQ6VjWhMlpTllYZMAJgRmfXk+jUoyjgHhP5L06wo/5gTZUuolVyGmljmk2AO5TKfgj+4r3AEZeWPojwIS5DKy6/j33z2CQDAifefsX5Cnit0qPQmGs/QodKtNulSPRAYDI1t8jEkgu4H7l1DSPZ72PLR3dfPiUB+cB0BcovgQCHlRSlQROXWxm9KZQZF6Hbu5GCms8EkAU1vGK6RbXIY5CrNmb0Iq2R7dtMUZ6i8eUjI1dzhAKHKelkOpTRKY/ljWPBd5sqHFo0/mz+G8Q/L+84h3s3vS6j6Mrp98djmen7fxOhPGdVBKDvBkRJFwk9/4WkAwPEP3oUa+adxJm2zlDxKrR/erBlKAwc90qfWSogBzXUP37eGwDNznY890qecEDaB7yAh2ySURMbIP8kSJFQiy0mfoiyzVQ2+xxF39fV6swx1skPxBiGSHYac9El0Z1ila9hPUzTIj4tNIwTXQU624lqcYDzp03gdfO6MMWsfdaORUtUD7WsJ6qHgGTuVZQuPvlT6d0AlSrQihyESy8cpl569JVJe05XHh8alNBb/4rf1PHf2I3ejZvzCLEeNmlxMRgk6pEst0q/QF+gTktRtMgypqdjD968hNGu6lo/9rrZZKTWd8l2BhBBNHpPIHHoeMrO2SZL/FJVQ4ylSsLHeLqYpavRe99b1HMYEQ052yulF2KS59kaSYMXYJtJVOAKSav+34xwKtL2MoDINp1yBLD04/8XRdAn4stysohh3Vf4syz+i99rzrQ+l5GHz1EH8jOs44LQGV7JMaF9JJUcv34CBLlYYwcMMMv15nDi6TpxYxfkLujQhizNQkyfUMw8Gd7xluCjUGkBOnIgirHcIwuxwC1f1JBDSItt08ar5Hq739EK+IZj1t13GsE18XjFB8SVjqNE1SKngEg8AahxTKvkI6feJKiox0lNtROc1xnvV9azTau1NkmJME/RPdadwuOn8mOMALwcTy32lpaWLi1D78r7FJHyQY6Qc/Cp95q4OqC1cDysb3lIp5dF0yKNL4Ry1IEScJNbwS7kIw9X3fObUKQDA6dNreOW16wCANE2QZlTqIl3rp1wn3iV+bA2SJmSWxFhrUbmOEEhpInElsEJBGcO7BFHwKrWYQEqBCJYr3BgYR5yg1pzDI70RSoGbQK7HEFFJWo2cO864LZud1piF659JY0QU4OyTgzq5uoUudab6ydzB/Q8+CAB46cUXbfnWuXN3AgAuXHgDkvTbdT3U6m06skKz0aQx0VDzb//wt2FzQ3eG+9znP2dHeWdnG4KbMtANtNstGn0K4rVWbGnah7/tWzElGLZfa+CZ5zUf01/+S38RAPAzP/tvkaaGO61tyyr73V38yR/8Qfzcz/8sbr+U9aZcvqI/63WA/nzyuC4PPX16Ha+8psunkjhGSqUbaR5AUQBh6zpxLh1bgyKnyI0jrDZpISc4Ygr8iBxom45nZJs8j1vbNJ2mOL6ibZcH4Dp1kjK2LVUKHnGR8ETCaVGpRI1jRDoW2AAroEynqlNtRG9onWiFPlIq+ciZOVaOEfFS/NT+FKUedG9iXJc4VKVhNvxVvu/j1Vc019bDjz6Gp7+sEx1CCBtUTolzbjgc4dd+4zcBAP1+355jMpng5VdemztVlqZoUkdCpaTtAuf6PmrU7XNvf/tN3MfvVQ5ZGJd069jmCQDAHedOYLatbU80jZFE+p0OAs/OEzduECfcsTUgIH2KIqyQPoFzW4bBc12KDADRTOuQ7wvc6OvP9axg6QiUwjZ1TUxJnzIAMc1/jZyBtbX9Uz5DQnrWpluLpI27gZ1sI76o9akdeJAUDJZ0vzzJMCLuyp/ej2GvYi5JYqRY6OVKAeSoO45nEwtRNCv2tWtGBk42USm5UG40v8g4WKam7ObSj4qPS6o/8jyfj4vdbrEHv3kg7fRJbZvOnF7HK6/pcvXZLMGIurH6Yc2Wm5p5ThxbBShR4s6mWGmaslTYLtciU2g3tU2PIpP04Lje02PPMkCSjeC5wi7pjQnYSzBwU2ItczBKACD0MYr0oAXkViQlXZqc66D+qr7OVughN53SSJecOMOA9Ount/vLK8LmxvGQz4s/mBvrheDo4ntc+m8uuLUYKD3g8y5e5Fu9gCzfV7F1OouwttIBAHTauuxw89gKtq5oO5kkORTRNMxS14and4hfyccqcuM3ZSlWW4b/EYhJn3iu0GoYfdKBsMBz0CcfSuuTsvvujck2kZ+SKUDFZBemGWrEMadCjj7ZpobRNwbLfzs8t4LwFc35GwSeDYCTV4Z6lCAmPf6F7f35cjyUA1kAF8LOX1wI60PNlV9bXSk4g2+amLU6wkp/l58RO7jvMlk0RoeVp33NwlAkdWiTlEXCvSSnT2nbdPzEGs6/oW1TEifIfNM1PrAJduuDH1+HCkvzHPnHjOlgJwAgO6hLrsMxoLJC8ByKOrOyXGGXdEnSPJczBhlZQw5BuiTrHPszspt0qnEm4dKz6Z3tICDb5IceUnfBNkUppnTef73dW0isGL0ifyxN5wOlhsJCKdiO9oau5sBjXGbUys+e5vO0NA8yUdr3EK5Vup4kTSEo0CUcUSrTr6SSo5eqdLGSSiqppJJKKqmkkkoqqaSSSiqppJK3hXwDIrpKyCAbcGbzWQ2KIn/oDk06OJmkEII6yokcUurI8k4/hU+Qdo/KJKIoBmjb8bUQwmb/OAjogt4oRa40msSQqvZkDleZyHpuI9b94dhep5gRxNQBvDYRc/suhpTFYVIg8Ak2Svc4y3O4UdElZnxCozHci100PMqOh/redj0Pn3P19/2oB4YS2mrJOBqkjDqs7MKOJ4rOhwc6ryyL/pt9RQHHL2eoVBmiXbpGk61nDMqUiShWIMXk7S8341yg0WiCTadICAGk0nQB1qvlgzT2o1EK1yEUF8+Q51RCM1I2CWX0KU5SW7LVWfXhOkWmNqJs4mCcWH0yUOia52KFyinSVGJCJWDReIwGZX1SKt2QPEd9VetC3XexR6U3TigQ0vFkbsjqgYC+n2YJnlO7dE9jPOIayDc1VfBd/FJC2bHREOMLOrs1GAyQZ9QFkhoECCEgTAaWCYu8ajVbePa552mwqYtSu4UXqcsdmMDpUxqNsrOzA4fGtdNp4+GHNWH7D/zAfwkAeOJLTxLaDvjVX/t1vPudjwHQZQu7Oxot9tQzXwEAdLs93HPPvQCA8bCPgErpOp0Ozh5fh+cehekzWclliEjMvWIfOacRQlqXKNvo5sgVlWWMiyScZ8o94gQOlSjWWx48p8j+0eNAf5wgo/fEkIcL5aDjmWMo7FPZ9XgwshfFKR0dcKBDsPqG76BHdsxlDuo1A2nXxx0MJQQhpCCB0WmNbpq9vodH/XnbtFd38WnP2Kb9kl1YNo6L9mjZTkWG2pRXzWYRWoRme+bpL9uGA2maFoTgzNhXZlF+8+UeB+1glktcu64RwY7jIKB763Ra2NndW3YDt1E4NOqtZGcPgk3xkbM6G93tTSxSwncdKOqgFM04pEPlG6T7UZza8r/V1UCXMkKXmZq5bjgu5jpTb+YwF01CwKSJxIhIp3dHQ7imQ9iU5jqmsErlP2HgYEbzaRCGtssZo/mCpS58ArRmqQTuIULzF69jnagAZE1/6DU8fEbqe+vP+rDIwKVE9MvfxzzPSq9qeXyV/RWnpjKNRtN2jdWZ88VTLOrrEtSEWtjlgNwcafVWyXuPaf0eDmM45DcJkSMnv6k/yuFSF9+AkCtRnMAhdGDYdOEKcy8MMc0hw3GKjDrtmXpFoRw06RhZIpGQLo0HQ7iUh1XkN7VrDtonqORHcIwITeEyjrBmkF4GxSDQI+SzUAy909rerr6+j5DKvzKiA9j3XHyS0GqDuNRpsYx+WdZR8UAZ2ILPwJZsM/vNvcMH54dbqsIcimqJQXgrZRnFBZRtJvPxB+4CAMwmKST5copnyKjEejrTFB4A4CjqApyktmtevVGe6wQiQs4MRgkkyG8ilLEDhYYhkE8kQLQe0XgEYc5nSl55jhWq2Ag9gZFpdAAG35TG07beJLcdhrkC9s9ofdp8dQ91snkR2aakFeK3Cf3ci2fL0XsknDOLCh4Nh3bfeqONKdFKFL7oIZ3BF4CDi1/fXG6CCJxDf71VSEGDFsI8Eo70/VtP6rGaTlK4rn5/XTcHY3rshxMAVKZo1nZxkkCQD1VvufBdQ3LPQU13MRgn1jYZlDpcAdNgOk4lYvJ1RoMhHHoWEdkm11HoEKXDSsPHxDRNYgxhSHpjCOilwH4/sre7T37Tydf20TDdhck27TY8fIoQYd1ovNwOzQGFzdxVRlp+NTahjBo9iCRXX40eMGbXsYzpRj/6Myut/46uWqeSSoxUiK5KKqmkkkoqqaSSSiqppJJKKqmkkkreFvINiOiieu7FTNqSrNIvPqN5e77nf/xj2P2t3wWgs38ZRdt9COSUsckoK5N7OTaaOjI/yyU8In+XGYMgkuJGS6Lb09HpDiGzmARmhLxSTCAhsmvHdaGIPFwRcX3CAEYR7VmcW96RlVZoszcpoW7EIAUBf9BgHGyo0Rh9wcFNxoJq0gMOfJYyBUJIZAZtoWQpE1DUcBcjVkLElQlry8g5A1WSOQrC31JkHgIHsj5KlvZdEJvFdIrzGo4sFG2dZS4hjzAe63suzp05heF4gmvXiHcrTucyJ5zG91eefRUA8Ef//B/Hjd/Q+uRxgcxwBCllkyGGX0K5GVqU6ZPgmJkWxQmDcA0ZPbC7T/pE5NFcMXiUgXRcYQk0A9/DtKv3rQd0DoehU9c625/GYDRezboPGkYksdan5MYUktByxx2GvV1N5vpsnuFhOveUUB71wMUvXdecGSodY0zZ1nqjATCNIOlTu2PX8yHpvQprNQz6PQBAd38P992vyeg//K0f1PfgCnzog+/X3/f76FFv8R/8Ez9o9f9nf+7n8VM/+RMANCoOANbXVvH8S68AAL7z2z+Cx7+kOZha7Y7VkWtbmgMkB8eYOLw+9rHvwM/9/M8DALZrPn7uF38ZvV4ft1/KdqiUyVdzKTcAwM99SaPcvu9/+iHc2PosAMBhHCmNoQMOTugj6Wkbo7wcTSKon2YSEb07POVwyDbVm0CXmlt0WoVtknQ9jutgRLrkuS5i4powSAjuu/adnqYKpq13sxlYlMaMdMnpxRbo2WHAZF/DcTLO4BG6o0+ZeE9w/MZljYpSKjuEY2Y578wB3u+5fefFNHsAMEcezhe7qzPNiWTOZpOeh4HHaHuW55gST8ositBs6GxsFE+XXs/XJgpQhstiwSZb0e/qLz6l57r/63/4L3H56aftTwxXVsgd1Ex2mmwTvAwdsk1RLuETsjBPJRxCfTVawD7NdYbDiylmkZWOKzAcEceScDEjzjdBD8tt+PZYw1kOAr9i43jDPldD/h5fGyMj1ESHAZMbAwCaR1GQPhkuJV8w/NbVfRqTpIQiLo1VaczMfHvi1ClcJzuvliJRMLfN8Pz1uiU0MWPF/mU0zlJyLfVVZtSPUA6Q0S+K/u6Xn9a69H3/4w/g+pYmfxZcWD4blXFw4j7KCPEFX6ERkE+TSSQER+UZg0v8ePWmRLevx3GFiO0hGXwaN+EIDG3DEg9T4nsjAAZSBmubJqmCpOttdkIYAFli0Mz9ESSR0nlQYF193AlTAM2bY2FsE8MnLTLzEK4ZukbPDyzJuua+Ke9z4MPC918jKmYR5bJ4rt93mR83l+akf/+MRm9/1zf9YezuPgtAo/ZTIll3PGH9FE6IFngSNa94t2JaqoiU2eM2Wgq9gX4WLeJEYorBM3OZ42I40bbJcTz0hkRGT6hP7jqWN2icKEjy81rtmp17jT65wzEmhI6vcwZOc92UA+GCPrWYxK9fv0HXXoZblUjhaVOaZkiTcTF+ZMcmo2Fp3/LkdQh0q6x7bHGyA5ZPrbewS4vLrCMTVfj/dqIuxgIyt1UdP09+0/f/pT+J6ze0beLcQUTPKXR8CPNuEHKTeZmtUphkEpEiHzzlcL1Cl7o94nRtmAoSwMv19WjbpNdWruthNDK6RNfouBaBOE1hm/+sdmowg2jmErc/RkaoMQ+AQ7o040BO89yUjF7AGX6TuMjmH9cSG6PY8uZg7CDX2QExfgZzlj9ze2C5cLySYh1AabHikpWyY23W35VU8lbJkQa6GGMfB/D3ob3xn1BK/a2F7/8igP8WmrN2F8CfUkpd+trPrF++D957DgCQT0ZQppESLyCtDAUJs3khd7sZVglq6kqFfKYNQG2lZgNZeQo0KShguu/Nosz6s44LKIL5MynRp9KPkGDSszQjwLUm6vU7OkjBSiR9rYbed/XeEFs7umRitDeGoq40p7rAmAJZDVqgPM0ce+9M+EBaJq5cnCAXJjlZQG3NPiZsw6BKBIR8YbFlSpDmwmb0TXmiXXQgl0yyNMkxAFlWPsfRERfGcYLzFy+j292HWjrxF4u6995zBgCQT4aQRFIKoRAYfWIlfaLJdq+XYzU0YyShqGuY2w4xo2Boniq0aBEZEsR6EhXdzByh0KzTQq+bYkRdYTh1l/EchgFN9L1+ZPVMeA4UTSqtll6Qt8MQe7vasXIVB6i7y3vHKYYzPZE3hT7uM0ET506t6vP2d8CocUOr2cR+Vy8ymdL7dif75nKRpokl7AZjuHTpIgDgVydaj2u+i3N33AkAeNdjj9nuiF984kl8+EPfCgD4L77v+/DHfvCH9FhQ59Pv/I6P4smn9CL++o0b+LZv/TYAQKPRwK/8wv+jz0168yN/9+/hOz76UQDAz/zcz6FJJMh7e3s4eeK4dXBvr1DAeG5BUw4cK5hA84cf1OUcbjpFFhlnScG35Z8MST4f5NjrSTQ90xBDIaNnF67UEFGJRp4BDSJp9kmXZnFmyU25A9QouDFLM0TSdLbSpRixlEjpvZWjBE5b2ybJHWQUtDbBnZUHQmyTberdGCKnRgvnepG9ng6Vfn3ec1GnjkLjNL6p/zzfEQi2nDVd0g2Pc2735ZzbN9jzfTRb+plvb29bwt9lC/3ye885W96RtvQz+72UNtB7NMJKjTsOsdsk3/bAHfqSkikyqooQnn7XAKr+INtkSk/3ehIrgT5uDQyTEc1TTb/obpgqtBo017nFXGdyDw5XtiPsJMsxzPXJNzfbAIAoy4uujIkEjO5JwKdXsEZB+m9+1xlc29b6dP78LnyyY3f2IswoaL3iaB37EhxLFK+pCMrvSin4BADgNqlw48b2QuD0JqU7i1J47bZxyvI5o7QgLQfF5nZZtlDBUv28bXKzQyvAJKU+eL+2zULGtiSaOcU8xxkwpmCvmecm2wnecUbrmicVJJXa+60aEtMJTAq0qLlFYHRplkJRUMFzgFZJl1Lqflgv2aaYxi0axQhX6nRtwgatm+Q3rdwfoka2aWdrgAnZpod7EaKZvqmOo/Xus2C2RFXKBPPJuflBS5J4/tktrdpbDFCYbQvzgvnRgeDVIVL2u75u4luHvz8JBQQ/cL9u4uNxQFCkO0UOQb5zlivk9P6aIMVwqLChGz4jyxUk+d5hO7TdqGXG7FznCZM4zuzTE0KiSSTkkzSDormusap1JFMKjH4XD2eF3+Q4totjq651bPW+Gm7saj9ke3uIGdnER7pTpEafuNbd56Uo9CmL54OSiwHK0nMUjlOQdJcC9oKS7Xl+mB9ctiWH6NCbtisLkds524Sj1TvO56/TBk6KbR99+G69azxFRggA7pZtk7JdE02YZb8n7RpJ5EBGgc76ilfoUs7QIJL60DUltZm9BE8otMgHn+Q5JNmm1pq2TYmUSEyifpzYuUs4wjY/aDWpfPqBGpqkS+cvdzGm9d/9gxg56VKb5rnHHQec1kVS5ocEKpcnWEyCXr6ZRMuhwTDjN5VJ7ul8XCzYwqzYx1yffZ7Mgj8wV7p460urpJKvVY4MKsMYEwD+EYBPAHgIwB9jjD20sNvTAL5JKfUogJ8H8MNHdT2VVFJJJZVUUkkllVRSSSWVVFJJJZW8veUoEV3vBfC6Uuo8ADDGfgbA9wN40eyglPqd0v5fBPCDtz7sYmaMZEl9y2985SUAwPee7thsiAh9RERcy/IcjNoI+yG1PnUZBmMdea6tNAty1OEMgtq8wpXwiOTXRM25k8OlMhJXCHCKWO+MZxCUVaIkOSLGIRMdKR9PU9QpYu/XOBiBFhIQiiFjaBKcm52/jKktkwPQ0Nv3KQPxlZHEeKjJxZXMIQSVouRlRIAZr+Kj6zrzcHwrlLVWzKKzGONF9F/lc9lLNlc+AkBK24Zc6QPZfYtTlLKZBnHA+PzzLJ/vNkuWZ9jf785nqw5JgPwnKg/6/rNrVp+cmo/YECHnuSXZDQIq3XCALrVJ76y3EJsM0iCCQ6UeuSPhUQmIuYRcKeT0F4ewZK0RAxptnS1iVNq4HWVQRMY6iXJEQ0Jm1DiQ0c1QJtWRuiwEAPiXLmOFxr8NBtnRGadBoM3CL/VmuLBzXh8rcDEeafTKlYsXLMK8QMoIi3QZD0co65skvei0NcojS2Js3dDQ/iyXOHtGI+XG4xF+5t/+AgDgzjvOYmtLl7qZcr6f/blfsGUwCgyvv/4aAOAT3/1x/N0f/TH9u7P6WPfdc5clzH/9jQtWnVqtFi5dvmqzzbdX1Hw2q/Sf/lyULvwqlQf94bs3oUiX3HqAxCBTMmmTaYSIBy/ZJq/VQEKlH2w4gyB4jOQ5PHrvOZVSiFzCMeVBnEEQ6fjQYXCpFDIi/RlKBUE2aDhO0aB3Naxx5ERyLqRBPzDUrW26aG2TqwBJCMU9yrR+oZ9gNOwW47RMStncINDHjaIYWXYQyWVESmn3zfMMDmW/XddFv9fT1+t4VhfmZEmpkSyVIxWZ1IXrXYbAOKrMpLF/c+3mD851xjb9ifuPg0sq3/JDRAbKnEl7iMAQyUNZfWqvtSzaNIsymEYmylFWn4RBmDqyKIXlAlT1j+GEwa/p5z4gJPRIStD0h/4kRUi5tTxPEaf6eD7Tv4kzZee6Oy71MSF9WmEco45GVvRJn744UJAplfyobAEpsYCWYAxZQmUnXoCMMv5QCtxQExg7Nkciv1gSVHy3RHWsXU3iaC6TfUAWSwjNc7xlaeHXKjc5dgmJ+utP6fKg771rDZLeGy8MkBgFyjJL2BxQmbsQwJDKedprbcSmzDFOUCe/acgy1IV+1r6dQIrLYkxYJPBAcNQI3WUQCTPJ4BCSejBO0CLfwg8ZOJUpuqRLaaZQpwYkx199A5EppVUKGaEtumQHv7wTQWam9PgWPsah77kqfbfk2QLzpT1lH+hmz3yOSmLZBZTQg18XUryHBjX9u69dBgD8kUe3IOndazVDRKbJBaRGl0PrEQA4opjr/FbdIrUxmsGhksacS7jkNznMoJ9ymPw9Y0VJZN8p9EmRrkxyaSs2htMMOdfX4wcMDvnyCTWHSSVDQBPx6df3yTsHVsBxg/yxMfnhT00lsnRCw1FyLFmpHG9uvAgJJIvvOOfgNBimkdABtNUBuBVIX7Cwf3nN9HvUlQOVHLdTSsifpeXkzH78D6Z08e4Ni37zawESmudYltvLNH6T5zAMJvp7v9VARuM5Gs7gGl2ChG/8YjqX40iYJTJjHKZ/0WgWo066RC4YpjlQo2llNEnRIF3yAsAh3U7oJpJc2IY29762b5FgvlSYrpAuUTnsF66PIWUJrWx9D+DAM2VlG8RLvvmirpgxNWO+WKFTxr/cBAuj8tL3pXMbOprFa2Slee5rLeOupJKvQo4y0HUKwJXS31cBvO8m+/9pAP9p2ReMsT8D4M/cvkur5D9nqfSpktsllS5Vcjul0qdKbpdUulTJ7ZRKnyq5XVLpUiWVVPJWydcFGT1j7AcBfBOADy/7Xin1zwD8M9pXLc1izQWI9Xcbbc3Rcu/pDYSEfnr69WvIKTvkhQI5EV2PKeIfcAfeCrVATmNA6s9hO0BOnFgskQgI9aJMaXPC4RIqbNidWb6THAo5Rc4TaXg9lOXaqrVD1OhYnucgpSj8YKAzjDWHYzbV1+Y1fXSIPHoigA7dx8tE1PhKPLNZNNd3EUfLCJJZ6ZP+nKZFRlzzcZkdClSKCcZD5ZaXw/U8S9YJlRd8JaV0t1pWr13KaBbtZ3lxbYskr7cZLrFMn+668070qB32aDRCZtAyTKOAAKBBqZ47TqwibOiMzlOvXUVO2W3H58gJfTIyGSTh4OQa5f/SGIwUJmz7BR9DrOBTdtkAsMA5PELbdPenGA41IsFxGWY0ZjHxIE3TFCHxB9SaAWqUQfc8xxLlG8JoTykoQjG2VxtYpxbsY4dhhfT7i77OhF8lJAegs1wt4rnajRN4xP2T0vvj+x7G4zGNGUNARKCbx08gDPTnl17WpLT33XsvxsS7lSQpvvzUU/p3SkHRmFy7dNGiJT1mUIFFRoszYGtLo8J6/S5+51Of0vfxTd8EALh4+TJyeoaCSSR0nVvXr+PU6VO3TaMO6pL9Zu6/Rdlc0ei2O0+sok669OVXryAnZJUbcGREXpqmlPETAivUKANZDE7NAcKWj4yQpzwHAsPebBmaOTyyTYPeDCOyTRAMIETGJLEvOHKfWpy3QzTJTrmOsNwn/YHOVnucIaGMeNAMcJIy8BOPoUnX8wxlxl+fjK29UYt8fYumXGkkFwAEgWefnVISPulVXGpVHUWR/W1KOjyLYjBeZDGFRWdJe4758y9my+cz7G8Vl8S8PvGSEhXPB5Qh1khXvX2jrXnu7juziZNr+j198tXLyEifnIAjJ30SZD9cJsBJV9J4BkX6JEJhOS15mpX0ybCCcwSkT93uDCNCrDIOKMO9lBo0sEJG+tRaqVuuwdB3IWmf/Z5uIFAXAiPSobgTYnOoP2eeQJ3mzi9k+ljPd/slXpFFxPJBNGVnRXMNSpljRAhRrjJ4rmlBb3SsdJgyr1JZRw4hnTf6EgSh5WXJc7l8/yXI6duN5lquS4tykBPn+IrWpbtOrKJOftOXX7mMnNBUrs8hzTyXGcJ4B60TNF9kERxCwjTaQTFH5Bx1Qp7m5hGlHDVCAfa6MwzINgnOANKliFATLmdQ9PvWSgP1UD8733OQE2DT2KaAc0wnemPQrmGFjjvyGerkNz1FevB8f4x5PqAlz2YZeubA94vIzwUEjEVY8Df/rA/sdzNenqOVg3PdwXs2vqFSzPKmHSc//D1nN7BBaLrnL1y3iHTXYciJvyehSgdPOFhr6X2RxWCkT/V2YBvrsEzCI9tiGjqphMMjNH2/F2FI9oQLQNBcNyZOTM5giQJbnRpC3+iTi8yimqk5Ahhi4sSstUPrh/d9Bo8QQudd/a48u3PjsAFc+twFN6hIDkX+oVLKcim61Iwmmk1KYK2Sv7yIFLsleGsZamrZd+XNtxfNdahtKq89ysg0spcnyTad2+ygRnPJc29ct/Oc5zHrN8VWl1x0yI6pNIaiZW99JbSNUFgu4TmmI0KhS76d5wpdYgK2EdgkNusXBUkVGs1Obc42SXLqRyPjN3FEtD6ordTQoAqMUcARkG16lpq6vLBvmmSUBwfaTllTUHo2xo5ZFNiS35q/lyFQ5/Y9DC1q5qsFji77tUHFFnZO867y4vvfPzNWyX+GcpSBrmsAzpT+Pk3b5oQx9p0A/jqADytlscy3kJKBL/+98P0uEQU/t9XDKSIulUkGRaTaXBadIEbkjDmugxkt/mudBuo1PURJliOZ6Bd4liUQnIjAaVIVXCCiCbhWC+CbDhzTGNL4x0NtfBImoWiB6DVd1Cg4Fc1ShHXTKU0bhWgSwzFGcRhjgzrOtOu+nQgfoMk+zFNEZDlmcVZaEKkDBoWXiASVLLoyKrCbTJB0H/S7JMmWwKRhDS/jDhSVIx6APpf2oQ0L/qO017mUHPo2CucM169ft2Vxa6urYFTSIoTAmdOnAQDf9J73AADO776MjaZ+/jIu9AkZ4JjmBBSwqTsOul09wR3bXLVBzTiTSMYUsMpTeKQDppzRd4QNerYavnXColmKICTiVZoMJ2mCfEYEm00XDbr2JM7QIBJeTgGHcX+KJjlsaXeC06bcplWznffeLfSxfmYwQxbrANkomcKvacfTcQSmFKgyHdXiOLHBhFwq21nl2tUrEEQmbsjBoXIbnIjjBA899CAA4NlnnrYTdZTE8Gv6nTUk5n/6v/4hvPqGLqV86cUX8OzzLwAAfvbf/ls4XjB3jlajgREF3j74gW/Ba29cBADs7OwgiZOFEt3bJYdB8IuvjexQUPXV3RFOUOdWFWeAQ+9kquAYu0Bet+M4mFLAs9FuIiB4e5wrJJPM7msIfX1ytgTnmJF9q4WeJbyfzRII6p6WUOBIOQwo2Saf6tLSOEfQMAtZCtxPYnBy/tRghjWC49cavi7jBfAw6fN/UMC01I1nqaiDf0RxMjeWtuTULqiWP0ff94o4PXd0ORmA9bU1AMDufnfhF8scttLnZY7ZAYLpo5BFZ7O0SC4tmnYHAwDAly/t4J2n1wEAcpZBORTYK+mTCZwGnouMggEJq8OhuUwqIIn0PuO4NNf5dAWM22YDjbqPkILe01kC5urzpdQNzfW41Sen6SKkBcJsmqJG+hSk+sDD4RTTff3OTvfHuIPe+zT0EVPQ+rGavq5fCX0MR6bDJsccgfiSOcmUsTLGbDm9VEzrFxbXhqWHvYyEd8kvAGaTI1mWotRvqlT2f1gJWnnuxNGJWhKkWTJWN/rab3rlRh+nVnU5ex5nNqknU2nLqlKa51xHoLun57mNjRW4xjalOcYjKomVqe2mbPwmRwhMyTY1GwEcW/6ZQLhEG0G6FKuS39RwEbrFnGjK0pCRLk5iyJF+53lvgjYlW3jTB6fE1KPk2/2qKzCKD3keB+QmJT9lXSlvX/wdW3gGt3a4SqdfTCb+fkupkyCWT3szClI/t9XD6VU9p2dRBgg9fjJltoTYJE6F42JMHcab7aZNLM/SHDPyw6M0gSACeBN4F0JgSiXYYejZDo1xksKhuc4kSWZIbemiX3MQGF8mKvSJ56RP40Kf6oMZQmpuEdV9cAp0PUC29vjqOq5TI4T5QPLygLcJCOZZhhqR38dxZLebgI5S0s5jB2VJ8HXuYZTWAvMXcPDPpUGIJYHc2yps4Rxqrrm7kes9bZvO742sLqWz1PpNMmeWvN8kvVzHwYj8pmanhYDmqyjNkUz176ZJCkHvrx+YMlqBKa3p6jUPvvldlCKmec74IznPocgHVyGHb+xflNlkAc+N3x4jI91W+xPUyTZFrQAO6dJjRIz/a/U2+pP9Nz+MSwNPC6XSVsrz3DKbxop97DMokdYvnmuh22e5qZBaRr1QSSVvkRwZGT2ALwG4lzF2J2PMA/ADAP59eQfG2LsA/DiA71NK7RzhtVRSSSWVVFJJJZVUUkkllVRSSSWVVPI2F3Y0yAY6OGPfA+BHocPA/5dS6m8yxv5/AJ5USv17xthvAXgEwBb95LJS6vtucUzFmbO4EfNZ0cVIM8OP/tGPAgCuX95CTK2KuavgUXmPT1H1aZxihYiUVQ44TcowZgqKIK3rnQA5nWMy0ZmC0OWo1fV1TVMFRdsVFAwN8v5lna1O6w5GY51VchwHd9+hyyrGgwgBtV/nEWWaP3cRm0TGmroumEH29MdghB76y4T4SlWCNhF+93v7JXDJEsh0aVujXkdOaJ4ZtQ1fGMACgcUYAsq0J0miSzPMYJWPrXeGeS4KrCCrL2c/5zINS8oASs9SquzLSqlvWnKBv2dhjCuH6xa+9l1gwObmJp1e4V3vfCcA4L/4Q1o197t9tJ/9HQDAlSvbiCmDyFwJj3REEKIvSzLUKSOXZxK1th67SZxaiPSx1ZpNXpkSw9ATaFFWZ5YpZGO9nXNgRs/qyhsaxcGaHnqUsWKc44G7NKJjMorQMpBtalvsf+EK7qP4dup78EIqQdwfIid9+tOS0GoqQp4bPRUFIiRJ0GrpTL8pV93d3bUIwyzLbNlhq71iCcv7hBQAgy2xHU+mCGt6TBwubCfpJI5xmpB0k7HOjtbrNfzlv/DnAAA/8/P/Dp/6zGfpGcHq8onjJ/Q4Dvs2++n5ATzKwE6jCEkcI88TKMNKe5uEMa50W3FVel9KerW05AX45//V9wAArlzaQhJRzYSbw13QpTRO0bC6pBC29biOowyS0HTHVnxrm4Zjff++w7HS1r+bpUBMOsaYAvGB48LrfX3aloec7OM0V3jong0AQK87Qaeln1M+pRK4z13EBj0w6blIqDRE9ca27OgvTgm1mI5QpGi5HQrBuUVsmnHyPd9m3efH6rCSIS2e51hUDefcNkE4feo0JoRA3O92Dx7jVmCOA1PkwR9IlR6JbeLcwcH7XoZkNnZY4V/8138AADDd6VrbJJ0UHqFpOJV/bg8mCOn9V7lEQOjPYZTC8O8fWwvtUxuQ3tQ8bpHOk0RBzgpSaVN6fZ5sU3s1REa1Z8IRuPsOjagb9iaokW1ilDW/+hsv4wyVIzLXQUZzXbc7RJOQPn8t1tebJCPYduYymx+Km8x1gnPbSIQLUSpPnc9GL/5u0b8wSHCDaDpUR5Zm0xeub46YXkLK7Ohs000I9pcBNn7sT3wMAHD18nVEhH6BK03FMwQ9l5BxrLaM36QQ0Dw3jjOrPyfWQmR0kiGhY7QuGRQ0kJHfxJhCYnTp1b4+V8PFmBCIouQ3DftT6zcpsp/up85j1fhNvouEStTY/hggVOH/i8oZ42yGouFNunwgDkNdLSOYP4CKAObeW4YlOvEm5KaIwsNFyuQIbBNTnIlb7wjAXOs73/Vu/HcP6Pd/sD+01AtwcpiqMUEIrCyVqBEiWWYStY7Wp1FU0Gxsrvim9w+GkyX6lALJpJjrMvrdhTf6+lx1FxOiBeFc4M6zK/ocw8IPz2dmrruEc9ZvcjGg5kBBbwJFSLC/NCMUcjKCMqVjZTL6Wy61FuYVet4G5ei6RVOV+WoKlHTjMITgIjLnTVzCki+lyqCUus22iS2Z51BaIyxb2yn8+A99HACwdXUbSUr+lpPDoQoLh3y+JMntfCUzhYD8ptEss/QGx1aDwgcfF7rUqBVruozmOQZp/aY3XtfzXNjyMaNKCd91cOc5bZsmwxkC6saiaJ5zPvkG2jSEse9iRnrOd4cWgfgXqDQ2TuYbO5UGZ/k8R3chGJDbahqBW6JUbwlffzNycN09N9fMfUeo6iOwTZVUsihHGug6CmGMU6Cr7DiwBUN/4Ff2k+t4+PMf0KVScjxFTobBLMbBFdYJEquQg5vOhQ4wJt4sCYUpzbAhp8U9mIWrbnQCxGTU8lRiRAYyJm6ArZ2xhc8mucJZctgajsCQyiZXfH3NvRd3Ud/VAbLaiVW0bde+CbptfZ0/Qt/vzEa2Y4iUCeaN2zLYvJZ2q40hddQ7VB9uCsvH8kWByu3xOOOWj2tObOniIdDo0m+OItDFOVe+FyDwfUS0uE7T1HZ/0pxA+vND73gIAHDnuXPwaKHzi//ul/HnP/gO/bvRBJKg4TUKnEIo263TcRk8R293A4FhX+uTYgqEeobH9Ic4l3aCPLYaIiYHniugS7DnNNb7bu3NoCjQkUqJO2kxGTBmHbU2XcPuK/u4Z1cHjrJjbRwjKLLfn2DY0fwHf43iUVe621CSuL38wAYzZ9OpfdQmsJokMdbXdVDk2rVrNnDa6azAJS/WcE3MpjP0B7rsqNls4D3veicA4Mmnn8bm5jEAwGqnbQNn27u6k+jJEycwnRa8c88+pzvwzHFUWE4AAeGYxYtCs6kDc3EUIcsl4ngKKfPb7LCZQBcwt9At9rjp713Xx1/79nfq6xxNIGm8A9I15jJwq0scnqP1wwkEelTyxYR2ygDA41QSoQBJQY4zmw2YKIZMM/Qp4D4jBez1YsvtNU4ynDrdAQDUHWFLSY4Rb1f/xR10dvR5xak1a5vQn2KfSsX/9q7Wv71xD1BF2YVPZY4rKx3Eib4GE9DUnFzlkp8lg7UkeOg4wpZ7tNttW1awtraGCenNaKiVO81y3NKR+yoWJkcThC8ldZZ1oT3smmhsQs/DD//BbwEAJCV98gOtN0woMNKnXhJbfXJ9gf2ufq5cMEwN/wkr9Mlw9G2uBJiRbVJSYkRB0NmUuu7NcnBaCKa5xMkzejFZdwVGVNLdooDWa09dxvE9CuifWkOH9CnpT5BsdAAA//u21pX9URcwKaQyp+NcmVfxX7ujzzubTW1ZYZzES+a7w+ah0mfOl+yzuOiQpf9NAoWeG+ML82jpQpWeu48uCH+Ta75JkNdzXfyFb3sYAJBMpnYuD0iXhMNwbJW6AXOJgPiKHJ+j39PPmQuGIfHmBGSbMgV45DcdWwkwI79J5QpjSvYZDrj9/cjqUpJLnCTb1HCLubRJEbjh89tY2dZzTHZ2DSs0V4ruGHurep77W9f0InVvNkbRbbFYLB46KDcrTy8P2jL/a/HPZQGvxeMuLV0s1XWxef1ZlKMJdJkg/JLr1RuX/s4kSXku8b9+/L0AgGgyhaRFuSmrZw6z3RUZVwhc7Ts4PsfA6JPDMDI8TOSHp1IhJH1a7xS2Kc8lxvQ5Itu0152Bk4+Q5AonTmpfpuYKTEwgll7Z6OU9nN3TOrZ7qoNVOm+rP8EWdav+Kan1/8WLb0BKE/w/5KEsFVXsyktUH3O+tyq2zeWFl61/DgmmflXBrlLSWh1VoKusS+VrLK9ZFt+pYpvnePhfv/vdAIBZSZeMjy5cBmLPAOOAT7rEXYbR0CSQGcbEj+WbNZ1Ulh5icyXEjMrc81xZXZoRyGB3P7L+JmPAubO0pvMcDPuUIKLg6I1nr+Psttbh6V3raFAiKNsdIiZ+zb91rQcA2J+OMN9t/k0+vAO8XYvBq/nk2RwoYskYF8daTIwssU3LAmVLu40ejd9USSWLcpSli5VUUkkllVRSSSWVVFJJJZVUUkkllVTylsnXRdfFr05MVqMMCT4kCj2HXtKfv/muU6hReK8HRt3+AEnf5zLDZKKzMeubPqZEpDrqx5Yoc/1kB2NCUSk6RywVPApa7+zOUKeTMFdAzfTnPeokJkMXMWXJszzH5S2dWawLByD0lyKiXtWbYJWymF6S2e5BeRBgTOfemRniSxTE7XOdC+dLI/QmXnQiU7KUlFsCE2bzvzssQcUJzSRV8SwMAW9nZRWDQW/h+7KUslWLGcyjBB0qIM9z1Or1UjJNWFLzOI4sAuall16y/3uETnr/XScR0n1HrMj0Fx0oJVz6HITMdluZjSNkVEKzfqKDGaGszHhlioHROG3vzNCoE9mqI5DT9i5lv2XogBkUD+PY2SN0T6YAyopLKkvaHERoUNng/jTBmkNlir4H4srE+V1Nl8eRwPdMqVxiO94xxlCv6+zleKqzVY7guHr1Ko0ggyAEURJHOH3qLgDACqEqVldX4VE53leefQ6vvPYaAOCdj70TfSJpr9drePhBjbz8hV/W1H4f/ehHbUnbzo0t9Lq6I01/MLQlSOvrumyz0WzBpxKVlZVVPPv8i/pxeAr3njuLl195CUcjaqF6YD5zdrOM3PvuPoOAvp4yBkV5CEXk2WmeIpSFLs3IFoyHOaRBMm22MCJSaFMeOs1z1AnpsL0zBQF3EEllG2HsUMmyW3fAqHoycBWu72gElKcYpEHuUJfIsDtBk2yTk6TYoC55aehjQvexNyF4ICTK5WEZEewPRyNE5tyUgXVcYbtIHj58B0sxNIqQ0GjjcdE5lfcQkL41mxrN0SNyckCXsBmbY0uxy7L4yN5SEPSiTWSYZ+k9HHHy4QfOwaHs9gwlm2RKcPIUITUs6TQd9Pr6+Y1HOSSNXWuziTEhGYTpqJjnhvsXN3Yj1Gv6uNwRFn3QJzSW5zuo27Iw4JrRpxxghDbNTDlubwafOjwGcYqA9LsR+tgmW7k/MQT05Sz3YtbZbC5scaOhEYaz2dTaEDW3s/lNudSwOK6eKgmZ6jqW8HhqSv3nUBWLF7OsxGTJ9QJYSlh9lLKsSmVJ0v89547BFPfMgBKKiJ6Xy2DqyII6R0wlhto26WfXPNbCYNfYJv27SZaDOLxxY2eGZsPURAoY4uMBlSXJmgtO9o9JWbJNHHKqn2lGfpPbnaBO9p/HGdYHhKqvh3AIsboXGb+phLqDXA56KMvcu3iTCoI5/3OhGc+bKDmkk5UOUfKFliLsy9ej3jo7xUpKNOdHHrwAY+s/eM85BKTrE6lsqXTZNjm5fn5BjSGelmwT2bTmShPDXWqKY/Qpz+CQHu7sFX4TcwQYIVL71PxABg5YSZ+29rRt8RVHTn54m2zTWn8GQbapE2c4QXNdXq+Bkz7ZYntW8mXn5ObzP8CgaExYuTPxYXqz9FDL5oObnHJxp6UI12Xbj0jYsneLFec3Y8ELlNL77zsDj343lqq0bNHfp1lm7XVYY0ioXHU2zKwurR9rYWhsE5XFTHJZ2Kbdki4JARhdMtQAgYCguTTL8mKeU9yu6VKixKl3p/AIxexGGTj5a0EtREK6tD8l23Rg3G9lnFB8P7fLrX5XngiWTApLKWbU/Fxpr/VWHTpZyX7dYtdKKrkNUiG6KqmkkkoqqaSSSiqppJJKKqmkkkoqeVvINyCiqyylzNmyrEc580YR/ySJcP99mlPp5VcuIaPsT0ZZw1mmcLxFWcWZRLOlkStRFGOFOIwuXOvDYdReltAPjXpo29MylsOnmvMrV/qIiB/Cpyj+WuhC0baNTgOXiGicxSl8yn6P9qiV8ckV9G7o7MAqOAi4gydcF3//qkYlGOJvKRUYRdPVIkG/HRoT22SWrHE0noARuktJiRrxKBjOKpnn9hyKsRLXVjkcLyENMyhl1wQXllzR9z1ICwpjpUTFQQTaHOUaCpTTUUT/Pd/DmdNn0e/17bZHHn4IV65ep3NzKHrWZSRAq6X5HKI0wTsePAcAeP7FC0gIqZcSIiWVEj61Ig5yF7WO1qfd3SHWiAvuyrW+fW6RKjjjeInrzFF6HC9f7CGiLJIinpzjngCjVt0t38c14jqSUQ66dOze0CivaSfEcFdnLlvKx4uEbEkeewy/xPS1uRf1tnrNhevoa+h39+F7+vuRyjEaaRSiyZrlXNjnFIahRXw1GnVs72iE2LXruufE2uoKjhFp/Iljx3CBsrxCCFy8eAEAsLXlYWvrhh6TSL8LX3nmaWxv79A5AmSEvvF9H+vra7RdjykYcOnyFQDA+QsXizbQEtjv9iwh9ZFJObO9DDWxZOc4muD++x8DALz00kWk9D6lhI5Jc4UaUb+pKEejpe91e2eADpH1Xt8agNNDp8QlaoEP1773Eg1CTg2v9TEytsnwC3oeZjllvF0X+6YpRpojJNs07urn0Tq9juF1rSsNJRBTWv7zQuBf7htSabpelc0NgOHSSuIY9ToRDY8K/rXymNlj3CKJWeZbMmguAJhMJphM9DsRkm1jjMEjNFoUp+DCEN8uO3DpM1vccJTCAOZgjucJKCFt+SG6RYiGwQh33/ceAMCl167AcD+btutpDiSEQ/AVQ7Opx2Z/b4Q26dO1rREcyl7PyLaFQQDX8oRlCIj76dKVPiJqZCBIn+6sB5DEZ9Ouh3ijT0joRCIg/rHhrn7/189tIiFuEoc7CImD64tc4B9e7uvTSdPapcyxtoCUWORvY5o30PyxHHRSGtMlz1cpBmXe0ySB4QczXI6yjMA4MIEtoG/mTrGI9jpw6tsoSw5evo5lSX/6LJXEw++4AwDwwosXEKfz85zkHhCS7xEBISHoJtMB1om76+rWEJwaCMysbQrgmQYEPIdHftOlyz3rNxkOrzWfA+SnNeshzg+0Lsk4hU+o1x4hfOqnVjA0SHkmkJNtehzAj712ne69RBheQqHfCiljCKyVlAfR5+X/gdL45gv7vVlkRukgcuHYB05SOq5aeCeOTA6Du95CkRlw77262Yx89bIlE8+IJynNGOo+HSNRqDW0Du3vDbFmbdMQ3KAMSR/rgW91CHkOj2zMxSt9zMhvckmfVgMB0PkaDRcXiYM3T1IEhADqEWdgfLyFmPSpDW4RAp9VwK8xvS547XXiDJ1Dmy7KkudeQqAy+4fEwbFdfL7lYy55aZd9fWtQ2bxNLPvehwEYb6ssubg5vqnS2o4+R7Mp7r3nFADglZIu5cZ/yoAa6ZJMFELSpfEsxvqK1qWrW0MIem6Gk7JWmucYMmtjLlzpY7Ywzx0r6dJau45tao6QRykC0kfjg3fOrWP78j4Avabj9Cy/wgT+2Wu7dJ/LnvPcoBRjNYd6V6Vtb/b9L6/HFmzTgUOokiopHOTeKp33wLq8mGMdw42XoJJKjly+cQNdcy/yreCdhVF48tIN/Nl/9dsAgL/2kUcxGOvJywn1b/KRxEWCMJ9ohmiBVpY5kJLDnqvCMJhAGU8VhE+lDQzoDYjEm+nOQ4BFuyJv+QgIou8mEpt16p42ijGmjh9rZAjO7U8RGTJf30FEhjVwFU5ROc6FmSF55iUzlJeM3pIZijG72NSGrihFMOUYpkuicNwiMCDLC4yF4y7AUXMAOZXXTSYTE//STucicWHJgVOQ9m/GGBxH338e336rGMcxzr9xHp7vQVLg5Nnnnken3QEAZEmCiLr3FR26YCHPz+9M8N/+1G8CAP6XjzyKmPTJJX1SCcc+EX4jV2i0iVSVMevIK1YundL3zXMGQZ2iXAfokj65DJjGRpH0f2Lds8+qKRVWqLHCJIswpd+1afBX98eQVK6WecJ29Iu2r+Dynn7GYUAQ7DSxHUrBGEajokTWPDfr1kppH2Ecz7CyogOBnU7HBrW+/OWnAOjA6vmLl8xh8V0f0529Tp48hVde1iWFe9193HPPvQCA7/9+3e3y5Zdesl3zdnZ3cfyY7oyZJDGuXNFBrbCmiWEffvgdOHe2CLx96ckvAQA8z0e/u4csO6JA103XL+X35eCOX7q4hR/68f8IAPgbn3gf4lEfAOBovwyTkcI+keQ2IoEWqIGGBKbUEU0xYcuXTfmZIxkyejd9B+gROaqjdMdGAOCmlDp0EdL5WomAS6Wto2FkyeibpD/13QFysk1ZIBAl2jY1fYY6lbvtm+5TB/w1fd+O4EQ+D+v8ZFk2t7/jLHS4K8uBIFTpM40DKzlys2lRahZR5CcIAnugNE3BTWOHW51v6WLkCISVygLmSsfV4RUyAJ66fAN/5Md+CQDwT//IhxANKYhEAYnZRNmOiDxlyGl7kkkk1jYxSFrW5SV9krTY91yBfWqg4jGGCc2RNXLUY6ngerTATDk2qdPicDBD1Ne/W6UE0PEbQ0yMPnkCMzPXhRwnqQztYqkZxXzwz4wVlo+J2W2uJKj8zZKF4rLY2cIXshxUW5ZsKyWGikVsOfi9sPJcGsi4XXKzYy9ZAZfu+UsXtvCn//l/AgD89Y+9x+qSFxb2rEuk8fWYo2USbjkwog5iClzPdQBiCra6iiE3jV8cYW2TzxgmpIOc5sSk5cH19XHdLMcG+U3DbIYJdR1eIz25c2eMmOa2OHAwpS56jbqHExTov0S+yYGbnjPNC7pQCkYoAPNlrot6tWCcykTySxbsxa4LgTL7Z/kY5etdEvD9/QpKLC1lQrGN5HOvXcEP/EO9qP+RP/QBRERr4QQ0d00U9ok2pO4JtOi3MgdGRCYvmbBXYBIbruJWnwJXWD884MDE+OH0mqZNDof4RpxcYoNK8ofDyOpTm8q1z+6MMSU/dORyjEO9rxdwyL39hftbNs8vbi+NSTmDs9BUp/jdzWQZ2fghcuih1Nx/9hrKz/DI9an8Dh1cryxssNueuLCF/+rHfxUA8L99z3sRJdpHFLR0yzKF/ZHWj5on0KIxVhIYTYwuFcFLM8/5ZV1yHHRpnvMZw4SSj6aUOmtxuC5RJSQpVqmb8TiTGNHvWmZNtz3ElJpVJaEHnz7XPeA40YNcNvPcTd/jJc/slnKYw1TefBN9U4CygVyOuZLGxaDXgbLq4tmWE5GVVHLUUpUuVlJJJZVUUkkllVRSSSWVVFJJJZVU8raQb1xEl7L/kJSj0AdL68oJ1JWmRn0cX29ibVN/vnxNE2l7jGFMCJw9xbDW1tBWN3AtUTHPcnBCbyVUVhX1cqw0dEvZ0SxDndpub2+NAIr+Wx5FwZELgvC3XHiJhvlvtl3MCJkxI2z/jcDBBhEoi2mMBsFnPzfKbMkXTAt6lRBpLgGvlrWuhsnEuxbODyhbYpimqd1HEeQ2zxcJWpdkm+ayCgehr+PxBML0+J0rYyplJcqZS/OtMtd0VMLAOAdjHDmhT7jkaLc1IinLcipVAZgh25cSO1SOV683cIpKWk9ttLG6oZ/lJSJmd5RCFOkH388TNBpEwMwBaQi30wygoUkoyxwnOTo1fQ2TOLdtt3dujKDod5wygaGXQxKDeOwoNGOt0yET2CLy+5z0aei7ONbS14tpgpAg+r80yPBGb4/GRB8/DAQkkYYzmPIcQCllmzhYtAJjlqxeCIEZNV4QXKBDJPQG2TUcDu39PPjAA3jHQw/p++EcJ06e1L/zfJw+rT//9E//awDAaDyGJJ3NsgyXr+pSyDxLra5HiS7z/dSnPwdGbZkdx0GaEhpQKQSBX0JXHJEsZkYBQubYjUt/dmJNj9VGp4bVVT2eF67qsiuhFCYTU7aq0OmY0h6HiNiBNE4QhIQAJQLfQTrG6ZB0aZYhoLHfHo0gCTUhDSkvS+H4dI66Qmum9bnteniDCKYVkdLvOwKn6HqdSWGbfqcf4zLZRVgicoWyXTBk1GfPnsVgqJ/Z7q7Rv/nxWYqsulXpTwkpo4CiNHtJKUCcxDh1Uuvm/n7XlijXa9r2J0laXIMqn/MtgE0wAIpjnqTXzG/L7HsJIaIkjhGycm2ljrUNfT8vXbiofy05sinZEo+j0dDnmAYuIsq4pnEKl/QpIQTcIJ0U+hTlCI0+bQ0haZ8ZXaJwXDBH603cUGhEuslHc83HhbFGdMRj/X0/9OBROW4widEmffpCL8bFmclwlzP+S8a+jJCxiD6uy8zKv7+ZLPz+5vuUkBRL0CyKsYO2Rubz5zCn4QJfF7LktqVUOLZKdny1jrV1rUsXTQOSVCKm5gIscLDa0nrghQ4yGos4ShCG+h7N3NfrT3Em1DoxmeWoEQpra1DokhljIRJwR9uepCbRiPU81ljzcJ7sYjQ1fpOLlVV93Po4Rp3G9tN7Y1yKDW24eS4cQFZsm3tc+tpN4x7X9eFSg5bRaLyw2+LAlRBYUKXj8rldDsoCUnMONbHk4ZToKG66322XRRTgIsJ/AWU0V3uusNHWz+/YSgMra/P6pOc6Kg8OBNaMPpXmuiRKUCPblBFCsDeY4HSgn/s0yhH6JT+cSssk2U8hUnBX/y6vK9TJb2qs+ThPflNEftNO4CJsatsURil8GvMnhgkuR9o2+QZBGJsKCzMmh43dks+H6YP90uywiB69CVJnfthvDhCbA6Mtoqqw1DbcPjkM2boEHVhCbIMxrHf0M19theisar/RrOm4VJjSc2SBg7VW4TcZ25REKVyyTRkhzLuJxOnjhS7ViCrk+nCI3Pjuxjbx1Nqm1FPwpZ4fg46HGemSJN9+J3TRaOvjutMEDtmWz/UiXJ4am2KqY25F7F4eE2YbZ93avV3coRjLm7pWjMGGDcrXtohSBebt1lwZo0KD1uDDQfdWF1pJJV+zVIiuSiqppJJKKqmkkkoqqaSSSiqppJJK3hbClmW4v56FMaY4c3BoRHqplNMYRcau3TmBb3nX/QCAP/Oo5vu58MKrGEeGVDAEq+vj5pxhlbLYr17ewWhCnEmuPlg8zeBSa1jhO/Dpcy0Q2O0SQoBI7rkXIs50JDtLJVyKkJ90VzCgzINDfDj1WWbJWv/BjQFeJMJmqXJAGaRTwQcCuZit1NtNVjkkkvA0SS1PkcJCLf6BrLdaiN4vG9cik27QPmEQFO3X566plI2f4xFbwjOglEUNKcgvK6W+CbdRGGNKMGc+GVLiJlCA5ewpc3QZ4ZwjCHV2ot5ew4cfuxsA8EPvOAYAeOnZFzEleEOn5cNv6XucSmCz3gEAXLq2hxFxB3Eif59NMjgUhuYut7pVDx3sdXWm845j1CiBCUj0AQCDSYos1fue8lawM9L64IxIn6IcbULW/aPtAV6htuxccAhO90f37jgMQ+LOcB3Holocxy0R8up9wzDEmAi/NzeP4eyZM/o+ZxGmdG9b2xqB9fCDD+LGjkZztJpNPPLIwwCAp59+GjFl0/q9fbz/fe8DADz+xJMAgNFoiIDI5qUsOOjSNEVGfHNW92oBHEdnWPMstTqUJglc18N0NkaeZ7cV1sUYV4I7h3d8L2chb8Gp0Vo9hW8lXfrv360zlM88/SKmsd5/tR0gaNJvXRervmmUsYfRVGeUHeIXiSYphNFnjyOk7WEo0CVdWutQu+uwhlmqOUeiJAdXet9T7hqu9QhVMyBi9yhHm9ANP74zwgvU0EHO5U/Me54A6iAvg+u5FqWXZyVUxbJxKWUbC4o/VqC0FuYyLgyarMyldDDzLTi3PICOIxDW6L0iFFGj2cRwSM0cJpOFnxvbEB+BbeKKc29Bb5bfw62QA632Bj746D0AgL/8rVqv3njhVYwI0SV9BrdBR3IFOr7OOF+5vo8+zXVOyTZZ7n6HWX2q1QS6Xf3+nlrXaEQ3qCHKNFJvGmXgNNfd6a9jy3DFjYu5ThGy8B9tDfAskY0rlR/UHZVjaRvzRV4Zs21+A21mSxF+pZPYfQ8cY1HXWGl+OLDvwoc5DqaD55cqg1K3ar3w1YnWJfdmeyzZtgj/0NfaWdnABx67DwDwp9+pbdO11y9gEunvV5oePGubHHR87Tddvr6P8cI8F00yuAbI5jJ4pFi1mmN1qU56KbwQcaZt0yxOwQjJfoe/iW3ylxjpUjjJIOgS/sm1Lp4nm6UbCiwgIlUOS0x/yLjYhj834yxagki/uV+Fw1/bw3Z6MyjDhf2kTI7INpEf/mYQkHqHhT+NPh3HtzyibdJf+MAdAIDnnnsFU9KnTtMr5jrHsbbp8lYXY5rrDP98NC38JohCn8KaQK+n57pand5/L0RCfvg0TsGMbapv4gbZJtDx3VECh9TmX94Y4OWB5vGVKsdB8vk3v6ZijJeaO6Hws9ky3i12cD+7uTzn3kSpbqVv6pA/mP5HygzKGOnbJHZNd1NuqJsglRiHuf+1zZN49z3aJv0P778DAPD8869iRn5Tu+mhRgUNEA5a5Ddd2+4d0KXZNINL7z1zmf1cCx3sky416mbNFyIj2zSNMygQH1dtEwPilHNMlcMottyY/3dZl8C1n6RvuHTfS7gfgYPjJcv7Klg0/aFS1q9l/ihbbtPmhPaXeYFIJv5iMA5bYqQAVrqPlbUNAMDe7tZtt02VVLIo37iBrjLE8pYEjCXnd844cMDVTthHHtIL8z9+9yqmPe1gNzsBckEw1jjHBkGXW34dV7sDAMBuX0+UDhfod7UzVQs9xFRud/bMOpDrl31/qsvduAI400SqMkugMiIuRIDP7+syng+39bk6vQn+1gX9u2GWFA7Z4gLaDoMJVhSTry7b0TuZboGT6RQ5lXNJMDAzUbIl2GYlDxk/vAnHy9ZllLajmKjLz5COzRlDSIzYk+nUnkOq9LYbRSGECoM6ZrPI3prjOJaoX0ppO2sViO4CSs05B6MJJVcMgmDzH7lfdxT64/dvYG9bB4vaKyGUZzqYAQ4RL6+GLXRpIb1D5YOCOxj0tD4Jl1vi7LvObQDSjKXWlSzJkeT6WFxmmEb6elK3jt+9oc/9XStUzrg/wt+5rM+R+w5mFIgsV/yYRWw0G9vnpKDsfQKwHRaLgIOwwYI777zLjtWpkyfx3PMvAADuOHcWAHDlyhV0iVT++PHjltj/7NmzeO311wEA4/HYlpsl1ITgxLFj2N3XzoTMpV2kZmmClTXdddEEyiAzbBzT5WhSSoxHeqz8IMD+3h7ieAop86Nx2A4tHVj20i507iqX0whtAz78jnMAgD981woGe1pPWqsBFHXzTCTQoDK7TlDHXk/bpj0ijBbcRZ90yXM4IoLQ33HHJhgFssYx6Z1UcJg+1iyJkJMu7ecCT1Hg4QMtrUve3hj/6PI2AGCYRsW9MQH7vttFULYQrCiMlul4aJpBLAzagswHrOr1hi0lGgwGhwS92PLDlXZx6V1UKHS7ZgNeM7RsKXNmbcOQSi4BQMrbb5sY44oL7+D0pkqOZLF36fMhpY0053zoHXcCAP7UwycQdfUzFU0HI6Ud8VgyNEmfVoI69o1t6ut3z+EuuvQ71xX2nbvnzk0710GR7uUKnPRpEs8gqWFBLxf4NNnFb1vRi42VwQx/8zXdaXWcZbALyGULoLny93JZRHksDs5ZOma4bC47GNABgEZD63qSJLZpwqG+hzLB9lIAjXGbZCoWtOUmBgeTSlLlb2Gg6xYvxmHfk236Dgqe/uAD6xjvUzff1QDK0WMR5YVtWgmb2KdF3TbNc5w76FMA3fO41aU7zxbz3P5E64RQAIM+VhxHECl1xpMOPrOj55OPbmr6CK83xg+/oBuUjPKsuI+yT1IOfh8IHJjd9D61ep3OG1sKi4MLxJuNJTtMxQ6ed/H7Q9agB3+EpYE1mR9REF64h6+RbykLN8O1rf3OR7Rt+oEHj6FPTaE6qwGko/2fONMdzgGgEzSwR/q009O2iXMHPTPXeaKkT5vgSuvTzkgn3LhUYGSbkjiGSvVcN4WLZ4i+5LE6NcToT/EPXtZ6OMrSUlVmdkgX8tK9zWe6Du5hpkipiu/nghRLHrySWE5NskwW/ZHSA7vpM1uiS0cZ6Dp8h4PXtBgztR3vOcC0P2DmuT9y3wZGfa0TzZYHRg0Iknzeb9of6n32aJ7jwkGPbJPvCcyMLp3ZsAmZ3ljrBC/ZpiSNANKlEQvw+A1tmz5wrAMACMcz/P2vXAIAjPMMmLt3c3+mbPuwBBcObj+Q4HmT+nHYmm4OfHALUVnpd6I4v1U1BVAiiDsuVtfWAQA721erQFclRy5V6WIllVRSSSWVVFJJJZVUUkkllVRSSSVvC/kGJKNnRaTaRovL2VyOxaw/UGTpCZtSfJ/qzPTLhHwZftv9OEHEvw++4148/fRzAAAvy7C/S6UUHYaHTx4HAFwiAsrBdIqAkAnD7gRNV2/Pdidoenr7fU4HAPDUKMHf/9JFugJelBuqzEbDH6esBGQCMJOJFbC9kaFgCIo9QjQkSVLARksDxLhjo+3DQR8AEIQ1ZIZknS9mthV9okz0oZDiA1AD+t9k9dV89mhutxKiZeHnwhH2d4wxKjdYcrrbIFIqxHEMxxGlMhY1lx0x5QoG2eW4LsJAoyNGoxH8QD+f2SxBTki+F2/orFDyHY/geK63PfzI/XjiyWcAAJNohsDRGaBBNsG7z54CALxChJeDycS+nKP+1JaIxdtjtKl1ccvTWeYXJin+zhffAKDJ88NA/5JBWhTCE6QXnufApdLFZDqBQy2P8zzDqVP6Gna2dZaKMaZ1B4ACg0/3nERFOaohqOccFpn1yssv4a/8lb8CAPjxf/6T6HQ0GsaQjudS2pbKucyR0jUmSQyHys2kAhQRzMrcEBf37b7CEXZfxnxbpqYkwc85t7/b39uzZPTdbhcbm5vY3zMlvrdTijIOzpaUu84RaJeyZktLTpTN6r18XaMfBu+7Bxv0/b33ncULL74KAEjyFGMqj1VNhjuOa9tkUDnDyRQunWPYm6Dl6+cY70xwsq716rS7AgB4chThRz7/or32IiFXoFC+YOzvYeVjc9vNEQQMQsdxHFs2DbAFJJc9SOnz4ZCGyXSCGm0Jwxqm01Jp4c2khNYAUDQrgILrBvNnVQr9fh8AcM8990CQru3v72Pr+tabO9/XIotAgKVIrjJq4DB7re/xNUJS7X/kIZyj9/fMA3fhyaeeBQBM0xlGVDakmgx3H9Nl/c3SXOfS+Qb9KTpkF2bbY9zb1J8bntanz/RG+D8+p48rZYmwtvSufOHAvdA9LkMLL0UQl2Alc8n/MmpK2T0LWcg4L9ljYkpVy+/pHHjHbCt+p5SyOpLnspi/7DWK4jxzengEE9ybllugBRZ1inyWF69pRGf/W+/DMbK373j4fjzzjPabkizCyHBzNzlaDY3eCwlBOZxM4dHYjYYzdDyyTbtTrBAtRMfRKK0nu2P87c9+RZ/+ADpUH+OzL14qbS6TtJvnlOOArmgY58FbZ8ryGURToow48DIu+Tw3ZGz5rnab0nWvc9tQQkegZEqXHWsBdfNmmi3cLjG6a++Xzb9OB8GKJSmPowJj+nk+f137TaMPPYhN0qeHHr4XT39Fo8KTLMI4oQM3BM6uat0w+jSezkCeM4bDKVbINsV7Y3SopvFO3gEAPDOc4seeeEUfN03mL5g+/taBa9bXW7zucvHGltz0smdCvqQj4NBaIYkj67Pc+pxIOJwAABj6SURBVH0sf/4qn/mbruIpox/l/N9HJkvu6VCbb4SBoXhfjC69bHTpvXdjjfywdzx8D77y3EsAgDQvdEnVOU5Rs42QKhPG0QwOvf+jUYQV4zftTdCm0uu20L95uj/FP/yiPq62TeX1jv78xZcvHbg1MAcF0r3sB72JcS7PR+W/ARykiVimK8vms5ttv8l1MWf5vsr4w4AydCdKYjjsLz9OJZUcgXwDli4Sb8kBY2J24Fh8GdfW19Az/DF5aWJSsoCNWrilAONm0VzAg+/eWMN//y69gDy16WJ7x3A+6N/HaQ5FC1OODGyiX+pm3UNGL/uPPK27p10dTG2QikNCWpiqBGCuY4ljBmGvhyHV3CX0VzEI+riO69pONMIRcImvKMv1NtcpYN1SygVjSYsCMvKMs6LLXp4tBK9KUOoDDqRaML6Li18c/A0dNqRFOucCk7EOMB5J6SIXKghChGEdOY1NnMS2XM5xhB2HLF+cPOhiTUCxBJs2egHGS9B0CTOZPXzmBH7oIV1ut7oqcH1HQ/A5BTUFGBR1gkrTGO5M60Wr7iOl8/29L18GAFwZjO05XIfZwGW9Xsegrxe1JgjFwAouMs7nnomB4JuOiEmWIaxRCW2rjsFAB6qmsxkWO4kJx8EGlQ8qxvCJj383AODzjz+J8WAAAOhRecHJM2dx7YouK1lZ6djF5GjQt4G148ePo06lY6+fP6+PW+pQJoSwnUIdz7OOTkABtDSeodXR17Pf7WE80uPLhMDx48exfeMqkji6zRB8XkDwDz3ysqBN+btlNq1cxmCOz+z395/cxA8+ooMRJzc9bO3o98WUKgmpoKR+17M8hZjqd7keusjpev7OkxcAANeGw4Vru5Uzvew+SgEE+qADrMW1pxRkT9Pkq2gQVrxrpmtjfmi5Y9kesdJlvpkuRmS7W7oMuRaG2KeS2SzPbZC71W4hCLSdunDh9SMsXVxYzJZLCxY53+ZU6GYlcmZbaYwoQXH/8U380Dtprjvm4fo2vTvUGpYrQFGH2iyL4JBtqtd9G+D9kSdeAwBc7A/ng1tz515yOXPzUOldWSwPOtCNqnz/i2OiIGzAvrCFwMJYWinG25Rj+56vy+gXr33ZsMrynF2aA5c+t4OriaPj6PKgk2lLuvRB2WTgvE942GWUOkza/9nCd8B9xzfw371Hl/Hfe7aOK9dpnhN6nuQ5oIhrNE0jOJEe70bds51g//pnngcAXB+ODru7Qy63nHBbwhu41BbPL1DN87dz/1xQrByFOuR6Ssf6vQWh1MHLPewc5cDaW8LRZRKwxbmMXS53FvUCUwIe3YQTz7yrTunvg+/6/cc38KfeoxNyd56q4coNrROCa31iubJ+eJrGELG2Te1GYKvB/r+f1wGJq4PxvK96y5s+2FV1PtBV1oubH8/404wzm0B1Pd/q26g0Dzeaeh6Ko1nBq/um3tGlZ7715mW8clQqeTSli8ZvuoVu6As55GsDfuAL6xMQf1RZV/X39x3fwH/zbq1LZ48HVpe40SWpIMlvyrMEIibb1PCRx1on/zYFSq+N4tL50nkbsThXLdoo25m6vL4oBc2X6mhZB8tzTblb483mqYW5+Jb+anENRXytvLbLijFW8zZUH0ZZ21Bu0Jhmt982VVLJolSli5VUUkkllVRSSSWVVFJJJZVUUkkllbwt5BuwdFHpyDdjFhY5X63B5nYFgG5vUASZhQPIUncvphZ+piyCx3U922nujZ1d/MQzeo+/+sETcCjDl9Cx8ijHhDoK1V0OQUF8L2jj7zxxEQBwldA1jHFwOq8QDpKkHDU36K5DkB9lmKslYKRMrFQQXH+fZymaTV0mMJlMbWmOiaRz7oEx00WvKCVijIEZ8vcysmtpxL808Lw0rkuRxuWs6pKMV+l713Nsyd3qWqvodHYE4EPhOFhZXcfu7i4yGiPPc22XpSzLILgpkSsu1SJKsnmUl8lOF91G1EKyUP/x/OUt/MtUl3/8ufedgKDjZJQhznOFaKa/DwRsZskLO/jRx3WZ4hUiYmVM2bHPUma77QlWlNBYFEMpeeMIbvghIRzXkm9LOlYnCC06bDgc2u6TUAoOlVI6JksDZjtsxkmKJ7/8lD5Gq2XRVKYE9L5777Wj0dvbg0OllML1LEprNB5ha+sa/c4MHbOk4EEYYG9Xd250fQ9Zqu8vpXGcRTEm9Puw1oBHsHOpFDqtJvZ2jijGv6xUdy7LvmBvDi3vLX8uEyWbJg7FC/nK9Rv4qUzr7v/0vhMAvTsp7ZvmChF1FAq4AqeEbOA38bcoI3l9ZIjVS9c4b1hvKly4c6W/jtBTS056lyYxQkLbjUYjq0s6g61/Z9BZUi5/0TXJN+i4ZYTPIeNWRsLZ2yjZoKVZ+SIjPJ1oBE8tDHCcykGvXruG2UyPZRRFqIXB0mu9rcLKWeEy0sH8XZK5oVtsAGJ+tzjnAVAcBp3yyvXr+Be51qf/+UPnrG0yefw4yaw+hRxQVJod+G388OMvAyAkl7n2W2Xkl361OEcs/m5RL5fobMknyEslxOX58sBhFq43M3Y5m5UmgCWnB4px5UVZdWZLYkvXeOAZHcHEdvDiUKDDl6P7ilfnMPRf+TqXIZkOIrZfvbGDn3hK6+HfXL0TDtmDJKMmKJl+jwAgZBIwuuS28Nc/bZBck9JxlzoXpY9lhOJhyNSlD2/pRzMfmWYVUZRALb2GZTpeuoavBs3FYImbtU+02Lhn4XjL0DjLuo/edlFY7FxqGnUIzovyXXoHOiurtpQ/jiMksX7uelvZFgPz73Hx+ZXtPfzEk3rfv7FyF1yrT1QfmyvMjN/EJRxqaFBz2vj/fEGXP14barsehoFtxuO6jvWROeelOahsS5ahSZfp5Jsfd0c4yLKUDivRamv01ng0sqgvgxoWQlg/fTIeYbke30oOsaMHbC9tPIAaOgpZmMOXfb8UkVRGPZWQpar0OwAAL72SZdu0i5/8kh77v/7t98Cl5xonhS5F1CnRY1IjtQA4oon/86l5XZp7H7kojVtpsmClsSzNFfP2Ysm7fkspn8u8/wul/7eaPg87rLnmkl0phlcV7wKbrw5ZvB7hOBa52F5bxd6Nt4DyoZJKSCpEVyWVVFJJJZVUUkkllVRSSSWVVFJJJW8L+Qbl6HJ19LicWeFOaR/9f/neyvwTBkGSZWkpmE4xP+7Z4woO5JY0uVz7LfDohs68/LmHNP/ENSWQ0PdRnuOfP/k6AGAclfm4CClVvu5FIv0yD4A5G6EflFIWFTOfsTNZAKXRPQCarQ4mhEgoE7obdFISx8W5FrN/ixn/cl32HMtoGaU1f82FlGr8lwqNDec4duIkAGA8GuPsuXMAgFdfftk+xySd3fZ67na7rd7//g/i/PkLGBJZer/XtZkzx3Hs+XPKvLHSPXPhWNQK5mhVTBbHs4TvWaYsabrjuMgJNZFnKR7b7AAA/pv79RjcUAK5KHThHz+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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "bands = [\"sur_refl_b02\", \"sur_refl_b01\", \"sur_refl_b04\"]\n", "\n", "ds.wx.rgb(bands=bands, stretch=0.995, col_wrap=8, size=4, aspect=0.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Interactive Plots" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default, the `rgb` method creates static plots. We can create interactive plots using [hvplot](https://github.com/holoviz/hvplot), which is an optional dependency of `wxee`. First, make sure it's installed, and then call `rgb` with the `interactive` argument." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!pip install hvplot" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2021-11-03T01:30:35.401834Z", "start_time": "2021-11-03T01:30:34.387795Z" } }, "outputs": [ { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, js_modules, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", " if (js_modules == null) js_modules = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls.length === 0 && js_modules.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error() {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (var i = 0; i < css_urls.length; i++) {\n", " var url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " var skip = [];\n", " if (window.requirejs) {\n", " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", " \n", " }\n", " for (var i = 0; i < js_urls.length; i++) {\n", " var url = js_urls[i];\n", " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", " element.src = url;\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " for (var i = 0; i < js_modules.length; i++) {\n", " var url = js_modules[i];\n", " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", " element.src = url;\n", " element.type = \"module\";\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " if (!js_urls.length && !js_modules.length) {\n", " on_load()\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " var js_urls = [];\n", " var js_modules = [];\n", " var css_urls = [];\n", " var inline_js = [\n", " function(Bokeh) {\n", " inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.alert {\\n padding: 0.75rem 1.25rem;\\n border: 1px solid transparent;\\n border-radius: 0.25rem;\\n /* Don't set margin because that will not render correctly! */\\n /* margin-bottom: 1rem; */\\n margin-top: 15px;\\n margin-bottom: 15px;\\n}\\n.bk.alert a {\\n color: rgb(11, 46, 19); /* #002752; */\\n font-weight: 700;\\n text-decoration: rgb(11, 46, 19);\\n text-decoration-color: rgb(11, 46, 19);\\n text-decoration-line: none;\\n text-decoration-style: solid;\\n text-decoration-thickness: auto;\\n }\\n.bk.alert a:hover {\\n color: rgb(11, 46, 19);\\n font-weight: 700;\\n text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n color: #004085;\\n background-color: #cce5ff;\\n border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n color: #383d41;\\n background-color: #e2e3e5;\\n border-color: #d6d8db;\\n }\\n.bk.alert-secondary hr {\\n border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n color: #155724;\\n background-color: #d4edda;\\n border-color: #c3e6cb;\\n }\\n\\n.bk.alert-success hr {\\n border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n color: #0c5460;\\n background-color: #d1ecf1;\\n border-color: #bee5eb;\\n }\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.card {\\n border: 1px solid rgba(0,0,0,.125);\\n border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0.25rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.accordion-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0;\\n display: flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.card-button {\\n background-color: transparent;\\n margin-left: 0.5em;\\n}\\n.bk.card-header-row {\\n position: relative !important;\\n}\\n.bk.card-title {\\n align-items: center;\\n font-size: 1.4em;\\n font-weight: bold;\\n overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n padding-right: 1.5em !important;\\n overflow-wrap: break-word;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n content:\\\" \\\";\\n position:absolute;\\n height: 20px;\\n top:0;\\n left:0;\\n right:0;\\n bottom:0;\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n content: \\\"\\\";\\n border-radius: 50%;\\n -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n width: 100%;\\n height: 100%;\\n left: 0;\\n top: 0;\\n position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\");\n", " },\n", " function(Bokeh) {\n", " inject_raw_css(\"\\n .bk.pn-loading.arcs:before {\\n background-image: url(\\\"data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiBzdHlsZT0ibWFyZ2luOiBhdXRvOyBiYWNrZ3JvdW5kOiBub25lOyBkaXNwbGF5OiBibG9jazsgc2hhcGUtcmVuZGVyaW5nOiBhdXRvOyIgdmlld0JveD0iMCAwIDEwMCAxMDAiIHByZXNlcnZlQXNwZWN0UmF0aW89InhNaWRZTWlkIj4gIDxjaXJjbGUgY3g9IjUwIiBjeT0iNTAiIHI9IjMyIiBzdHJva2Utd2lkdGg9IjgiIHN0cm9rZT0iI2MzYzNjMyIgc3Ryb2tlLWRhc2hhcnJheT0iNTAuMjY1NDgyNDU3NDM2NjkgNTAuMjY1NDgyNDU3NDM2NjkiIGZpbGw9Im5vbmUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCI+ICAgIDxhbmltYXRlVHJhbnNmb3JtIGF0dHJpYnV0ZU5hbWU9InRyYW5zZm9ybSIgdHlwZT0icm90YXRlIiByZXBlYXRDb3VudD0iaW5kZWZpbml0ZSIgZHVyPSIxcyIga2V5VGltZXM9IjA7MSIgdmFsdWVzPSIwIDUwIDUwOzM2MCA1MCA1MCI+PC9hbmltYXRlVHJhbnNmb3JtPiAgPC9jaXJjbGU+PC9zdmc+\\\")\\n }\\n \");\n", " },\n", " function(Bokeh) {\n", " /* BEGIN bokeh.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n", " * All rights reserved.\n", " * \n", " * Redistribution and use in source and binary forms, with or without modification,\n", " * are permitted provided that the following conditions are met:\n", " * \n", " * Redistributions of source code must retain the above copyright notice,\n", " * this list of conditions and the following disclaimer.\n", " * \n", " * Redistributions in binary form must reproduce the above copyright notice,\n", " * this list of conditions and the following disclaimer in the documentation\n", " * and/or other materials provided with the distribution.\n", " * \n", " * Neither the name of Anaconda nor the names of any contributors\n", " * may be used to endorse or promote products derived from this software\n", " * without specific prior written permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " const bokeh = factory();\n", " bokeh.__bokeh__ = true;\n", " if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n", " root.Bokeh = bokeh;\n", " }\n", " const Bokeh = root.Bokeh;\n", " Bokeh[bokeh.version] = bokeh;\n", " })(this, function() {\n", " let define;\n", " const parent_require = typeof require === \"function\" && require\n", " return (function(modules, entry, aliases, externals) {\n", " if (aliases === undefined) aliases = {};\n", " if (externals === undefined) externals = {};\n", "\n", " const cache = {};\n", "\n", " const normalize = function(name) {\n", " if (typeof name === \"number\")\n", " return name;\n", "\n", " if (name === \"bokehjs\")\n", " return entry;\n", "\n", " if (!externals[name]) {\n", " const prefix = \"@bokehjs/\"\n", " if (name.slice(0, prefix.length) === prefix)\n", " name = name.slice(prefix.length)\n", " }\n", "\n", " const alias = aliases[name]\n", " if (alias != null)\n", " return alias;\n", "\n", " const trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", " const index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", " if (index != null)\n", " return index;\n", "\n", " return name;\n", " }\n", "\n", " const require = function(name) {\n", " let mod = cache[name];\n", " if (!mod) {\n", " const id = normalize(name);\n", "\n", " mod = cache[id];\n", " if (!mod) {\n", " if (!modules[id]) {\n", " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", " try {\n", " mod = {exports: externals[id] ? parent_require(id) : {}};\n", " cache[id] = cache[name] = mod;\n", " return mod.exports;\n", " } catch (e) {}\n", " }\n", "\n", " const err = new Error(\"Cannot find module '\" + name + \"'\");\n", " err.code = 'MODULE_NOT_FOUND';\n", " throw err;\n", " }\n", "\n", " mod = {exports: {}};\n", " cache[id] = cache[name] = mod;\n", "\n", " function __esModule() {\n", " Object.defineProperty(mod.exports, \"__esModule\", {value: true});\n", " }\n", "\n", " function __esExport(name, value) {\n", " Object.defineProperty(mod.exports, name, {\n", " enumerable: true, get: function () { return value; }\n", " });\n", " }\n", "\n", " modules[id].call(mod.exports, require, mod, mod.exports, __esModule, __esExport);\n", " } else {\n", " cache[name] = mod;\n", " }\n", " }\n", "\n", " return mod.exports;\n", " }\n", " require.resolve = function(name) {\n", " return \"\"\n", " }\n", "\n", " const main = require(entry);\n", " main.require = require;\n", "\n", " if (typeof Proxy !== \"undefined\") {\n", " // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n", " main.loader = new Proxy({}, {\n", " get: function(_obj, module) {\n", " return require(module);\n", " }\n", " });\n", " }\n", "\n", " main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n", " if (plugin_aliases === undefined) plugin_aliases = {};\n", " if (plugin_externals === undefined) plugin_externals = {};\n", "\n", " for (let name in plugin_modules) {\n", " modules[name] = plugin_modules[name];\n", " }\n", "\n", " for (let name in plugin_aliases) {\n", " aliases[name] = plugin_aliases[name];\n", " }\n", "\n", " for (let name in plugin_externals) {\n", " externals[name] = plugin_externals[name];\n", " }\n", "\n", " const plugin = require(plugin_entry);\n", "\n", " for (let name in plugin) {\n", " main[name] = plugin[name];\n", " }\n", "\n", " return plugin;\n", " }\n", "\n", " return main;\n", " })\n", " ([\n", " function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(2),n)},\n", " function _(t,e,r,n,o){n();var a=function(t,e){return(a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])})(t,e)};r.__extends=function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function r(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)};function i(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function c(t,e){var 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t;s.documents.push(this),this._init_timestamp=Date.now(),this._resolver=null!==(t=null==e?void 0:e.resolver)&&void 0!==t?t:new r.ModelResolver,this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new z(this),this.idle=new h.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter((e=>e instanceof y.LayoutDOM))}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(a.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new _.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e,t=null){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new _.LODEnd),null!=this._interactive_finalize&&this._interactive_finalize()),this._interactive_plot=null,this._interactive_timestamp=null,this._interactive_finalize=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=(0,g.copy)(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){a.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(a.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new S.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new S.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof S.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new S.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let a=t.get(e);null==a&&(a=E._instantiate_object(e,r,l,s),null!=i.subtype&&a.set_subtype(i.subtype)),n.set(a.id,a)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),a=E._resolve_refs(r,t,s,o);l.setv(a,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),_=(0,g.intersection)(n,i),c=[];for(const e of r)a.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of _){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),a=new Map,_=[];for(const e of s.roots.root_ids)a.set(e,l.get(e)),_.push(e);if(r.sort(),_.sort(),(0,g.difference)(r,_).length>0||(0,g.difference)(_,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){a.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?a.logger.debug(o):(a.logger.warn(\"JS/Python version mismatch\"),a.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,_=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});for(const e of _){const t=d.get(e);null!=t&&h.add_root(t)}return h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw a.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,a=E._resolve_refs(e.new,r,l,t);n.setv({[i]:a},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n", " function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. 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c.Signal0(this,\"destroyed\"),this.change=new c.Signal0(this,\"change\"),this.transformchange=new c.Signal0(this,\"transformchange\"),this.exprchange=new c.Signal0(this,\"exprchange\"),this.properties={},this._pending=!1,this._changing=!1;const n=e instanceof Map?e.get.bind(e):t=>e[t];this.id=null!==(t=n(\"id\"))&&void 0!==t?t:(0,u.uniqueId)();for(const[e,{type:t,default_value:s,options:r}]of(0,l.entries)(this._props)){let i;t instanceof _.PropertyAlias?Object.defineProperty(this.properties,e,{get:()=>this.properties[t.attr],configurable:!1,enumerable:!1}):(i=t instanceof h.Kind?new _.PrimitiveProperty(this,e,t,s,n(e),r):new t(this,e,h.Any,s,n(e),r),this.properties[e]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static get[Symbol.toStringTag](){return this.__name__}static _fix_default(e,t){if(void 0===e||(0,f.isFunction)(e))return e;if((0,f.isPrimitive)(e))return()=>e;{const t=new m.Cloner;return()=>t.clone(e)}}static define(e){for(const[t,s]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,n,r={}]=s,i={type:e,default_value:this._fix_default(n,t),options:r},o=Object.assign({},this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,n]of(0,l.entries)((0,f.isFunction)(e)?e(b):e)){const[e,r,i={}]=n;t[s]=[e,r,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e,t){const s={};for(const[n,r]of(0,l.entries)(t))s[e+n]=r;return s}const s={},n=[];for(const r of(0,f.isArray)(e)?e:[e])if((0,f.isArray)(r)){const[e,i]=r;(0,l.extend)(s,t(e,i)),n.push([e,i])}else{const e=r;(0,l.extend)(s,e),n.push([\"\",e])}this.define(s),this.prototype._mixins=[...this.prototype._mixins,...n]}static override(e){for(const[t,s]of(0,l.entries)(e)){const e=this._fix_default(s,t),n=this.prototype._props[t];if(null==n)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const r=Object.assign({},this.prototype._props);r[t]=Object.assign(Object.assign({},n),{default_value:e}),this.prototype._props=r}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}[m.clone](e){const t=new Map;for(const s of this)s.dirty&&t.set(s.attr,e.clone(s.get_value()));return new this.constructor(t)}[y.equals](e,t){for(const s of this){const n=e.property(s.attr);if(!t.eq(s.get_value(),n.get_value()))return!1}return!0}[v.pretty](e){const t=e.token,s=[];for(const n of this)if(n.dirty){const r=n.get_value();s.push(`${n.attr}${t(\":\")} ${e.to_string(r)}`)}return`${this.constructor.__qualified__}${t(\"(\")}${t(\"{\")}${s.join(`${t(\",\")} `)}${t(\"}\")}${t(\")\")}`}[d.serialize](e){const t=this.ref();e.add_ref(this,t);const s=this.struct();for(const t of this)t.syncable&&(e.include_defaults||t.dirty)&&(s.attributes[t.attr]=e.to_serializable(t.get_value()));return e.add_def(this,s),t}finalize(){for(const e of this){if(!(e instanceof _.VectorSpec||e instanceof _.ScalarSpec))continue;const t=e.get_value();if(null!=t){const{transform:e,expr:s}=t;null!=e&&this.connect(e.change,(()=>this.transformchange.emit())),null!=s&&this.connect(s.change,(()=>this.exprchange.emit()))}}this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){c.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return(new m.Cloner).clone(this)}_setv(e,t){const s=t.check_eq,n=[],r=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&(0,p.is_equal)(t.get_value(),r)||(t.set_value(r),n.push(t));n.length>0&&(this._pending=!0);for(const e of n)e.change.emit();if(!r){if(!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){const s=(0,l.entries)(e);if(0==s.length)return;if(!0===t.silent){for(const[e,t]of s)this.properties[e].set_value(t);return}const n=new Map,r=new Map;for(const[e,t]of s){const s=this.properties[e];n.set(s,t),r.set(s,s.get_value())}this._setv(n,t);const{document:i}=this;if(null!=i){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){i._invalidate_all_models();break}this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){yield*(0,l.values)(this.properties)}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _json_record_references(e,t,s,n){const{recursive:r}=n;if((0,a.is_ref)(t)){const n=e.get_model_by_id(t.id);null==n||s.has(n)||w._value_record_references(n,s,{recursive:r})}else if((0,f.isArray)(t))for(const n of t)w._json_record_references(e,n,s,{recursive:r});else if((0,f.isPlainObject)(t))for(const n of(0,l.values)(t))w._json_record_references(e,n,s,{recursive:r})}static _value_record_references(e,t,s){const{recursive:n}=s;if(e instanceof w){if(!t.has(e)&&(t.add(e),n))for(const s of e.syncable_properties()){const e=s.get_value();w._value_record_references(e,t,{recursive:n})}}else if((0,f.isArray)(e))for(const s of e)w._value_record_references(s,t,{recursive:n});else if((0,f.isPlainObject)(e))for(const s of(0,l.values)(e))w._value_record_references(s,t,{recursive:n})}references(){const e=new Set;return w._value_record_references(this,e,{recursive:!0}),e}_doc_attached(){}_doc_detached(){}attach_document(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(e,t){const s=new Set;w._value_record_references(t,s,{recursive:!1});const n=new Set;w._value_record_references(e,n,{recursive:!1});for(const e of s)if(!n.has(e))return!0;for(const e of n)if(!s.has(e))return!0;return!1}_push_changes(e,t={}){if(!this.is_syncable)return;const{document:s}=this;if(null==s)return;const{setter_id:n}=t,r=[];for(const[t,i,o]of e)t.syncable&&r.push(new g.ModelChangedEvent(s,this,t.attr,i,o,n));if(0!=r.length){let e;1==r.length?[e]=r:e=new g.DocumentEventBatch(s,r,n),s._trigger_on_change(e)}}on_change(e,t){for(const s of(0,f.isArray)(e)?e:[e])this.connect(s.change,t)}}s.HasProps=w,(o=w).prototype._props={},o.prototype._mixins=[]},\n", " function _(n,t,e,l,s){l();const i=n(16),o=n(9);class c{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){u.has(this.sender)||u.set(this.sender,[]);const e=u.get(this.sender);if(null!=g(e,this,n,t))return!1;const l=null!=t?t:n;a.has(l)||a.set(l,[]);const s=a.get(l),i={signal:this,slot:n,context:t};return e.push(i),s.push(i),!0}disconnect(n,t=null){const 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Set]\":return this.sets(t,e);case\"[object Object]\":if(t.constructor==e.constructor&&(null==t.constructor||t.constructor===Object))return this.objects(t,e);case\"[object Function]\":if(t.constructor==e.constructor&&t.constructor===Function)return this.eq(`${t}`,`${e}`)}if(t instanceof Node)return this.nodes(t,e);throw Error(`can't compare objects of type ${n}`)})();return s.pop(),o.pop(),u}numbers(t,e){return Object.is(t,e)}arrays(t,e){const{length:r}=t;if(r!=e.length)return!1;for(let n=0;n{const n=navigator.userAgent;return n.includes(\"MSIE\")||n.includes(\"Trident\")||n.includes(\"Edge\")})(),e.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),e.is_little_endian=(()=>{const n=new ArrayBuffer(4),i=new Uint8Array(n);new Uint32Array(n)[1]=168496141;let e=!0;return 10==i[4]&&11==i[5]&&12==i[6]&&13==i[7]&&(e=!1),e})(),e.BYTE_ORDER=e.is_little_endian?\"little\":\"big\",e.to_big_endian=function(n){if(e.is_little_endian){const i=new 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g extends Uint32Array{constructor(e,s){super(e),this[u]=!0,this.dtype=\"uint32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>g.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>g.prototype[q.serialize].call(this,e))}[(u=z,A.equals)](e,s){return s.eq(this.shape,e.shape)&&s.arrays(this,e)}[q.serialize](e){return(0,d.encode_NDArray)(this)}}t.Uint32NDArray=g,g.__name__=\"Uint32NDArray\";class I extends Int32Array{constructor(e,s){super(e),this[o]=!0,this.dtype=\"int32\",this.shape=null!=s?s:x(e)?e.shape:[this.length],this.dimension=this.shape.length,null==this[A.equals]&&(this[A.equals]=(e,s)=>I.prototype[A.equals].call(this,e,s)),null==this[q.serialize]&&(this[q.serialize]=e=>I.prototype[q.serialize].call(this,e))}[(o=z,A.equals)](e,s){return 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d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}[i.serialize](e){const t=this.msg_data,s=e.to_serializable(t);return{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=l,l.__name__=\"MessageSentEvent\";class _ extends d{constructor(e,t,s,n,o,i,r){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=i,this.hint=r}[i.serialize](e){if(null!=this.hint)return e.to_serializable(this.hint);const t=this.new_,s=e.to_serializable(t);return this.model!=t&&e.remove_def(this.model),{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=_,_.__name__=\"ModelChangedEvent\";class c extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}[i.serialize](e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=c,c.__name__=\"ColumnsPatchedEvent\";class h extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}[i.serialize](e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=h,h.__name__=\"ColumnsStreamedEvent\";class m extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}[i.serialize](e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=m,m.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootAdded\",model:e.to_serializable(this.model)}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class v extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=v,v.__name__=\"RootRemovedEvent\"},\n", " function _(t,i,r,n,s){n();const e=t(8),o=t(13);r.pretty=Symbol(\"pretty\");class c{constructor(t){this.visited=new 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l.Renderer{constructor(t){super(t)}}i.Annotation=a,o=a,a.__name__=\"Annotation\",o.override({level:\"annotation\"})},\n", " function _(e,i,t,n,s){n();const r=e(1);var o,a;const _=e(42),l=(0,r.__importStar)(e(45)),d=e(20),h=e(53),u=e(54);class c extends h.Model{constructor(e){super(e)}}t.RendererGroup=c,o=c,c.__name__=\"RendererGroup\",o.define((({Boolean:e})=>({visible:[e,!0]})));class p extends _.View{get coordinates(){const{_coordinates:e}=this;return null!=e?e:this._coordinates=this._initialize_coordinates()}initialize(){super.initialize(),this.visuals=new l.Visuals(this),this.needs_webgl_blit=!1}connect_signals(){super.connect_signals();const{x_range_name:e,y_range_name:i}=this.model.properties;this.on_change([e,i],(()=>this._initialize_coordinates()));const{group:t}=this.model;null!=t&&this.on_change(t.properties.visible,(()=>{this.model.visible=t.visible}))}_initialize_coordinates(){const{coordinates:e}=this.model,{frame:i}=this.plot_view;if(null!=e)return e.get_transform(i);{const{x_range_name:e,y_range_name:t}=this.model,n=i.x_scales.get(e),s=i.y_scales.get(t);return new u.CoordinateTransform(n,s)}}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{overlays:e,primary:i}=this.canvas;return\"overlay\"==this.model.level?e:i}get canvas(){return this.plot_view.canvas_view}request_render(){this.request_paint()}request_paint(){this.plot_view.request_paint(this)}request_layout(){this.plot_view.request_layout()}notify_finished(){this.plot_view.notify_finished()}notify_finished_after_paint(){this.plot_view.notify_finished_after_paint()}get needs_clip(){return!1}get has_webgl(){return!1}render(){this.model.visible&&this._render(),this._has_finished=!0}renderer_view(e){}}t.RendererView=p,p.__name__=\"RendererView\";class g extends h.Model{constructor(e){super(e)}}t.Renderer=g,a=g,g.__name__=\"Renderer\",a.define((({Boolean:e,String:i,Ref:t,Nullable:n})=>({group:[n(t(c)),null],level:[d.RenderLevel,\"image\"],visible:[e,!0],x_range_name:[i,\"default\"],y_range_name:[i,\"default\"],coordinates:[n(t(u.CoordinateMapping)),null]})))},\n", " function _(t,e,s,i,n){i();const o=t(1),h=t(15),r=t(43),l=t(8),_=(0,o.__importDefault)(t(44));class d{constructor(t){this.removed=new h.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),this._slots=new WeakMap,this._idle_notified=!1;const{model:e,parent:s}=t;this.model=e,this.parent=s,this.root=null==s?this:s.root,this.removed.emit()}get ready(){return this._ready}connect(t,e){let s=this._slots.get(e);return null==s&&(s=(t,s)=>{const i=Promise.resolve(e.call(this,t,s));this._ready=this._ready.then((()=>i))},this._slots.set(e,s)),t.connect(s,this)}disconnect(t,e){return t.disconnect(e,this)}initialize(){this._has_finished=!1,this.is_root&&(this._stylesheet=r.stylesheet);for(const t of this.styles())this.stylesheet.append(t)}async lazy_initialize(){}remove(){this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get is_root(){return null==this.parent}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}connect_signals(){}disconnect_signals(){h.Signal.disconnect_receiver(this)}on_change(t,e){for(const s of(0,l.isArray)(t)?t:[t])this.connect(s.change,e)}cursor(t,e){return null}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}styles(){return[_.default]}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}}s.View=d,d.__name__=\"View\"},\n", " function _(t,e,n,i,o){i();const s=t(8),l=t(13),r=t=>(e={},...n)=>{const i=document.createElement(t);i.classList.add(\"bk\"),(0,s.isPlainObject)(e)||(n=[e,...n],e={});for(let[t,n]of(0,l.entries)(e))if(null!=n&&(!(0,s.isBoolean)(n)||n))if(\"class\"===t&&((0,s.isString)(n)&&(n=n.split(/\\s+/)),(0,s.isArray)(n)))for(const t of n)null!=t&&i.classList.add(t);else if(\"style\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.style[t]=e;else if(\"data\"===t&&(0,s.isPlainObject)(n))for(const[t,e]of(0,l.entries)(n))i.dataset[t]=e;else i.setAttribute(t,n);function o(t){if((0,s.isString)(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if((0,s.isArray)(t))for(const e of t)o(e);else o(t);return i};function a(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function c(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function d(t,e){var n,i,o;const s=Element.prototype;return(null!==(o=null!==(i=null!==(n=s.matches)&&void 0!==n?n:s.webkitMatchesSelector)&&void 0!==i?i:s.mozMatchesSelector)&&void 0!==o?o:s.msMatchesSelector).call(t,e)}function h(t){return parseFloat(t)||0}function f(t){const e=getComputedStyle(t);return{border:{top:h(e.borderTopWidth),bottom:h(e.borderBottomWidth),left:h(e.borderLeftWidth),right:h(e.borderRightWidth)},margin:{top:h(e.marginTop),bottom:h(e.marginBottom),left:h(e.marginLeft),right:h(e.marginRight)},padding:{top:h(e.paddingTop),bottom:h(e.paddingBottom),left:h(e.paddingLeft),right:h(e.paddingRight)}}}function u(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return r(t)(e,...n)},n.div=r(\"div\"),n.span=r(\"span\"),n.canvas=r(\"canvas\"),n.link=r(\"link\"),n.style=r(\"style\"),n.a=r(\"a\"),n.p=r(\"p\"),n.i=r(\"i\"),n.pre=r(\"pre\"),n.button=r(\"button\"),n.label=r(\"label\"),n.input=r(\"input\"),n.select=r(\"select\"),n.option=r(\"option\"),n.optgroup=r(\"optgroup\"),n.textarea=r(\"textarea\"),n.createSVGElement=function(t,e,...n){const i=document.createElementNS(\"http://www.w3.org/2000/svg\",t);for(const[t,n]of(0,l.entries)(null!=e?e:{}))null==n||(0,s.isBoolean)(n)&&!n||i.setAttribute(t,n);function o(t){if((0,s.isString)(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if((0,s.isArray)(t))for(const e of t)o(e);else o(t);return i},n.nbsp=function(){return document.createTextNode(\"\\xa0\")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=a,n.removeElement=a,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=c,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=d,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(d(n,e))return n;return null},n.extents=f,n.size=u,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=f(t),{width:s,height:l}=u(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=f(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n", " function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n", " function _(e,t,r,a,c){a();const l=e(1),n=e(46);c(\"Line\",n.Line),c(\"LineScalar\",n.LineScalar),c(\"LineVector\",n.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const u=(0,l.__importStar)(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new n.Line(e,t);case u.LineScalar:return new n.LineScalar(e,t);case u.LineVector:return new n.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n", " function _(e,t,i,l,s){l();const a=e(1),n=e(47),h=(0,a.__importStar)(e(48)),o=e(22),_=e(8);function r(e){if((0,_.isArray)(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=r;class u extends n.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.get_value(),alpha:this.line_alpha.get_value(),width:this.line_width.get_value(),join:this.line_join.get_value(),cap:this.line_cap.get_value(),dash:this.line_dash.get_value(),offset:this.line_dash_offset.get_value()}}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=r(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=u,u.__name__=\"Line\";class c extends n.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n", " function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}this.update()}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n", " function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n", " function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n", " function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n", " function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n", " function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n", " function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n", " function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n", " function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n", " function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n", " function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n", " function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n", " function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", " function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n", " function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n", " function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n", " function _(t,i,n,a,e){a();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return al&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n", " function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n", " function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1this.x1||t.y1this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n", " function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;sa.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n", " function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n", " function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n", " function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n", " function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n", " function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n", " function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n", " function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n", " function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length({data:[t(n),{}]})))},\n", " function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n", " function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n", " function _(n,t,e,o,r){o();const c=n(1),l=(0,c.__importDefault)(n(79)),i=(0,c.__importDefault)(n(80)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=(0,l.default)(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=(0,u.infer_type)(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof o.z?[o.x,o.y,o.z].concat(t.splice(3)):[o.x,o.y,t[2]].concat(t.splice(3)):[o.x,o.y].concat(t.splice(2)):[o.x,o.y]):(a=(0,c.default)(e,n,t,r),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;a[r]=t[r]})),a)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:(0,i.default)(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=u,o=!0),n=l(n),t?f(e,n,t):(r={forward:function(t,r){return f(e,n,t,r)},inverse:function(t,r){return f(n,e,t,r)}},o&&(r.oProj=n),r)}},\n", " function _(t,e,a,s,i){s();const l=t(1),u=(0,l.__importDefault)(t(81)),r=(0,l.__importDefault)(t(92)),d=(0,l.__importDefault)(t(93)),o=t(101),f=(0,l.__importDefault)(t(103)),p=(0,l.__importDefault)(t(104)),m=(0,l.__importDefault)(t(88)),n=t(105);function h(t,e){if(!(this instanceof h))return new h(t);e=e||function(t){if(t)throw t};var a=(0,u.default)(t);if(\"object\"==typeof a){var s=h.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=(0,m.default)(f.default,a.datumCode);i&&(a.datum_params=a.datum_params||(i.towgs84?i.towgs84.split(\",\"):null),a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\",a.lat1=a.lat1||a.lat0;var l=(0,o.sphere)(a.a,a.b,a.rf,a.ellps,a.sphere),d=(0,o.eccentricity)(l.a,l.b,l.rf,a.R_A),_=(0,n.getNadgrids)(a.nadgrids),c=a.datum||(0,p.default)(a.datumCode,a.datum_params,l.a,l.b,d.es,d.ep2,_);(0,r.default)(this,a),(0,r.default)(this,s),this.a=l.a,this.b=l.b,this.rf=l.rf,this.sphere=l.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=c,this.init(),e(null,this)}else e(t)}else e(t)}h.projections=d.default,h.projections.start(),a.default=h},\n", " function _(t,r,n,u,e){u();const f=t(1),i=(0,f.__importDefault)(t(82)),a=(0,f.__importDefault)(t(89)),o=(0,f.__importDefault)(t(84)),l=(0,f.__importDefault)(t(88));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=(0,a.default)(t);if(function(t){var r=(0,l.default)(t,\"authority\");if(r){var n=(0,l.default)(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=(0,l.default)(t,\"extension\");if(r)return(0,l.default)(r,\"proj4\")}(r);return n?(0,o.default)(n):r}return function(t){return\"+\"===t[0]}(t)?(0,o.default)(t):void 0}},\n", " function _(t,r,i,e,n){e();const f=t(1),a=(0,f.__importDefault)(t(83)),l=(0,f.__importDefault)(t(84)),u=(0,f.__importDefault)(t(89));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=(0,l.default)(arguments[1]):o[t]=(0,u.default)(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}(0,a.default)(o),i.default=o},\n", " function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n", " function _(t,n,o,a,u){a();const e=t(1),r=t(85),i=(0,e.__importDefault)(t(86)),f=(0,e.__importDefault)(t(87)),l=(0,e.__importDefault)(t(88));o.default=function(t){var n,o,a,u={},e=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){u.rf=parseFloat(t)},lat_0:function(t){u.lat0=t*r.D2R},lat_1:function(t){u.lat1=t*r.D2R},lat_2:function(t){u.lat2=t*r.D2R},lat_ts:function(t){u.lat_ts=t*r.D2R},lon_0:function(t){u.long0=t*r.D2R},lon_1:function(t){u.long1=t*r.D2R},lon_2:function(t){u.long2=t*r.D2R},alpha:function(t){u.alpha=parseFloat(t)*r.D2R},gamma:function(t){u.rectified_grid_angle=parseFloat(t)},lonc:function(t){u.longc=t*r.D2R},x_0:function(t){u.x0=parseFloat(t)},y_0:function(t){u.y0=parseFloat(t)},k_0:function(t){u.k0=parseFloat(t)},k:function(t){u.k0=parseFloat(t)},a:function(t){u.a=parseFloat(t)},b:function(t){u.b=parseFloat(t)},r_a:function(){u.R_A=!0},zone:function(t){u.zone=parseInt(t,10)},south:function(){u.utmSouth=!0},towgs84:function(t){u.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){u.to_meter=parseFloat(t)},units:function(t){u.units=t;var n=(0,l.default)(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=(0,l.default)(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)},approx:function(){u.approx=!0}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n", " function _(S,_,P,R,I){R(),P.PJD_3PARAM=1,P.PJD_7PARAM=2,P.PJD_GRIDSHIFT=3,P.PJD_WGS84=4,P.PJD_NODATUM=5,P.SRS_WGS84_SEMIMAJOR=6378137,P.SRS_WGS84_SEMIMINOR=6356752.314,P.SRS_WGS84_ESQUARED=.0066943799901413165,P.SEC_TO_RAD=484813681109536e-20,P.HALF_PI=Math.PI/2,P.SIXTH=.16666666666666666,P.RA4=.04722222222222222,P.RA6=.022156084656084655,P.EPSLN=1e-10,P.D2R=.017453292519943295,P.R2D=57.29577951308232,P.FORTPI=Math.PI/4,P.TWO_PI=2*Math.PI,P.SPI=3.14159265359},\n", " function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n", " function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", " function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n", " function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=(0,l.default)(this.e,a,e);i=this.x0+this.a*this.k0*(0,n.default)(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=(0,u.default)(this.e,e)))return null}return i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n", " function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n", " function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-(0,_.default)(t)*o.TWO_PI}},\n", " function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n", " function _(t,n,a,o,u){o();const c=t(85);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n", " function _(t,a,n,r,f){r();const h=t(85);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n", " function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n", " function _(t,r,e,a,n){a();const f=t(1),i=t(85),u=(0,f.__importStar)(t(102)),c=(0,f.__importDefault)(t(88));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)3&&(0===s.datum_params[3]&&0===s.datum_params[4]&&0===s.datum_params[5]&&0===s.datum_params[6]||(s.datum_type=d.PJD_7PARAM,s.datum_params[3]*=d.SEC_TO_RAD,s.datum_params[4]*=d.SEC_TO_RAD,s.datum_params[5]*=d.SEC_TO_RAD,s.datum_params[6]=s.datum_params[6]/1e6+1))),r&&(s.datum_type=d.PJD_GRIDSHIFT,s.grids=r),s.a=_,s.b=t,s.es=u,s.ep2=p,s}},\n", " function _(t,e,n,r,i){r();var u={};function l(t){if(0===t.length)return null;var e=\"@\"===t[0];return e&&(t=t.slice(1)),\"null\"===t?{name:\"null\",mandatory:!e,grid:null,isNull:!0}:{name:t,mandatory:!e,grid:u[t]||null,isNull:!1}}function o(t){return t/3600*Math.PI/180}function a(t,e,n){return String.fromCharCode.apply(null,new Uint8Array(t.buffer.slice(e,n)))}function d(t){return t.map((function(t){return[o(t.longitudeShift),o(t.latitudeShift)]}))}function g(t,e,n){return{name:a(t,e+8,e+16).trim(),parent:a(t,e+24,e+24+8).trim(),lowerLatitude:t.getFloat64(e+72,n),upperLatitude:t.getFloat64(e+88,n),lowerLongitude:t.getFloat64(e+104,n),upperLongitude:t.getFloat64(e+120,n),latitudeInterval:t.getFloat64(e+136,n),longitudeInterval:t.getFloat64(e+152,n),gridNodeCount:t.getInt32(e+168,n)}}function s(t,e,n,r){for(var i=e+176,u=[],l=0;l1&&console.log(\"Only single NTv2 subgrids are currently supported, subsequent sub grids are ignored\");var l={header:i,subgrids:function(t,e,n){for(var r=176,i=[],u=0;ua.y||f>a.x||N1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n", " function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n", " function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n", " function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n", " function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n", " function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n", " function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n", " function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n", " function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", " function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n", " function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n", " function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n", " function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n", " function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n", " function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n", " function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n", " function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;et.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;az(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;ic||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n", " function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n", " function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n", " function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n", " function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n", " function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n", " function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n", " function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n", " function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i}))}get finished(){return this._finished}get image(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n", " function _(t,e,a,s,n){var r=this&&this.__createBinding||(Object.create?function(t,e,a,s){void 0===s&&(s=a),Object.defineProperty(t,s,{enumerable:!0,get:function(){return e[a]}})}:function(t,e,a,s){void 0===s&&(s=a),t[s]=e[a]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),d=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const 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l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n", " function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const 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10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n", " function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n", " function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return 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N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n", " function _(t,e,n,a,r){var s;a();const i=t(158),o=t(159),l=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*o.ONE_MONTH:this.interval=12*o.ONE_MONTH}get_ticks_no_defaults(t,e,n,a){const r=function(t,e){const n=(0,o.last_year_no_later_than)(new Date(t)),a=(0,o.last_year_no_later_than)(new Date(e));a.setUTCFullYear(a.getUTCFullYear()+1);const r=[],s=n;for(;r.push((0,o.copy_date)(s)),s.setUTCFullYear(s.getUTCFullYear()+1),!(s>a););return r}(t,e),s=this.months;return{major:(0,l.concat)(r.map((t=>s.map((e=>{const n=(0,o.copy_date)(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=_,s=_,_.__name__=\"MonthsTicker\",s.define((({Int:t,Array:e})=>({months:[e(t),[]]})))},\n", " function _(e,t,a,i,r){i();const n=e(147),_=e(158),s=e(159);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=(0,s.last_year_no_later_than)(new Date(e)).getUTCFullYear(),n=(0,s.last_year_no_later_than)(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n", " function _(e,o,i,s,t){var n;s();const r=e(143),_=e(163),c=e(164);class a extends r.ContinuousAxisView{}i.LogAxisView=a,a.__name__=\"LogAxisView\";class u extends r.ContinuousAxis{constructor(e){super(e)}}i.LogAxis=u,n=u,u.__name__=\"LogAxis\",n.prototype.default_view=a,n.override({ticker:()=>new c.LogTicker,formatter:()=>new _.LogTickFormatter})},\n", " function _(e,t,n,o,r){var i;o();const a=e(131),s=e(146),c=e(164),l=e(120),{abs:u,log:x,round:_}=Math;class p extends a.TickFormatter{constructor(e){super(e)}initialize(){super.initialize(),this.basic_formatter=new s.BasicTickFormatter}format_graphics(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.format_graphics(e,t):i.map((e=>{if(u(e)u(e)({ticker:[n(t(c.LogTicker)),null],min_exponent:[e,0]})))},\n", " function _(t,o,e,s,n){var r;s();const i=t(148),a=t(9);class c extends i.AdaptiveTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,e,s){const n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n", " function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n", " function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[r(s.LatLon),null]})))},\n", " function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=(0,_.clip_mercator)(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,s):this._get_ticks_lat(t,o,n,s)}_get_ticks_lon(t,o,n,s){const[r]=_.wgs84_mercator.invert(t,n),[e,i]=_.wgs84_mercator.invert(o,n),c=super.get_ticks_no_defaults(r,e,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lon\")){const[o]=_.wgs84_mercator.compute(t,i);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,s){const[,r]=_.wgs84_mercator.invert(n,t),[e,i]=_.wgs84_mercator.invert(n,o),c=super.get_ticks_no_defaults(r,i,n,s),a=[];for(const t of c.major)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n", " function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n", " function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n", " function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n", " function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(no.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n", " function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n", " function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;te))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n", " function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n", " function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(9),m=e(13),v=e(113),f=e(67),w={fill:{},line:{}},b={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},V={fill:{fill_alpha:.2},line:{}},x={fill:{},line:{}},G={fill:{fill_alpha:.2},line:{}};class R extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,m.clone)(l);return i&&(0,m.extend)(h,e.fill),s&&(0,m.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(w,o),this.selection_glyph=await this.build_glyph_view(o),a=n(V,a),this.nonselection_glyph=await this.build_glyph_view(a),c=n(x,c),this.hover_glyph=await this.build_glyph_view(c),_=n(G,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(b,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,v.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof f.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof f.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,m,v;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,m=this.decimated_glyph,v=this.selection_glyph):(g=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,m=this.nonselection_glyph,v=this.selection_glyph),null!=this.hover_glyph&&d.length&&(i=(0,y.difference)(i,d)),h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);m.render(s,n),v.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=R,R.__name__=\"GlyphRendererView\";class k extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=k,h=k,k.__name__=\"GlyphRenderer\",h.prototype.default_view=R,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n", " function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n", " function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(421))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=!0;e.beginPath();for(const i of t){const t=s[i],_=n[i];isFinite(t+_)?l?(e.moveTo(t,_),l=!1):e.lineTo(t,_):l=!0}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n", " function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();this._set_visuals(),null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}_set_visuals(){}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e{const s=new Uint32Array(r);for(let a=0;a>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];na||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&st.x1&&(t.x1=o),d>=i.y0&&dt.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n", " function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[h]=new Uint32Array(t,4,1);return new r(h,e,o[15&i],t)}constructor(t,s=16,i=Float64Array,e){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let h=t,r=h;this._levelBounds=[4*h];do{h=Math.ceil(h/this.nodeSize),r+=h,this._levelBounds.push(4*r)}while(1!==h);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=o.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);e&&e instanceof ArrayBuffer?(this.data=e,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new n.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return o.clear(),r;if(r.push(-o.pop()-1),r.length===i)return o.clear(),r}n=o.pop()}return o.clear(),r}}function a(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function x(t,s,i,e,h,n){if(Math.floor(e/n)>=Math.floor(h/n))return;const o=t[e+h>>1];let r=e-1,a=h+1;for(;;){do{r++}while(t[r]o);if(r>=a)break;d(t,s,i,r,a)}x(t,s,i,e,a,n),x(t,s,i,a+1,h,n)}function d(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],x=s[o+2],d=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=x,s[r+3]=d;const m=i[e];i[e]=i[h],i[h]=m}function m(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let x=t^s,d=e|65535^(x|i);return x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),(d<<1|x)>>>0}i.default=r},\n", " function _(s,t,i,h,e){h();i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", " function _(e,n,a,t,i){t();const l=(0,e(1).__importStar)(e(185));function r(e,n,{x0:a,x1:t,y0:i,y1:l},r){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n,r),n.restore()}function c(e,n,{x0:a,x1:t,y0:i,y1:l},r){var c,o;const _=.1*Math.abs(t-a),s=.1*Math.abs(l-i),y=a+_,p=t-_,g=i+s,h=l-s;n.beginPath(),n.rect(y,g,p-y,h-g),e.fill.apply(n,r),null===(c=e.hatch)||void 0===c||c.apply(n,r),null===(o=e.line)||void 0===o||o.apply(n,r)}a.generic_line_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){n.save(),n.beginPath(),n.moveTo(a,(i+l)/2),n.lineTo(t,(i+l)/2),e.line.apply(n),n.restore()},a.generic_line_vector_legend=r,a.generic_line_legend=r,a.generic_area_scalar_legend=function(e,n,{x0:a,x1:t,y0:i,y1:l}){var r,c;const o=.1*Math.abs(t-a),_=.1*Math.abs(l-i),s=a+o,y=t-o,p=i+_,g=l-_;n.beginPath(),n.rect(s,p,y-s,g-p),e.fill.apply(n),null===(r=e.hatch)||void 0===r||r.apply(n),null===(c=e.line)||void 0===c||c.apply(n)},a.generic_area_vector_legend=c,a.generic_area_legend=c,a.line_interpolation=function(e,n,a,t,i,r){const{sx:c,sy:o}=n;let _,s,y,p;\"point\"==n.type?([y,p]=e.yscale.r_invert(o-1,o+1),[_,s]=e.xscale.r_invert(c-1,c+1)):\"v\"==n.direction?([y,p]=e.yscale.r_invert(o,o),[_,s]=[Math.min(a-1,i-1),Math.max(a+1,i+1)]):([_,s]=e.xscale.r_invert(c,c),[y,p]=[Math.min(t-1,r-1),Math.max(t+1,r+1)]);const{x:g,y:h}=l.check_2_segments_intersect(_,y,s,p,a,t,i,r);return[g,h]}},\n", " function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", " function _(t,s,e,i,a){i();const l=t(1);var n;const _=t(178),o=t(184),c=(0,l.__importStar)(t(185)),h=(0,l.__importStar)(t(48)),r=t(72);class p extends _.XYGlyphView{_render(t,s,e){const{sx:i,sy:a}=null!=e?e:this;let l=!0;t.beginPath();for(const e of s){const s=i[e],n=a[e];isFinite(s+n)?l?(t.moveTo(s,n),l=!1):t.lineTo(s,n):(t.closePath(),l=!0)}t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t)}draw_legend_for_index(t,s,e){(0,o.generic_area_scalar_legend)(this.visuals,t,s)}_hit_point(t){const s=new r.Selection;return c.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(s.add_to_selected_glyphs(this.model),s.view=this),s}}e.PatchView=p,p.__name__=\"PatchView\";class d extends _.XYGlyph{constructor(t){super(t)}}e.Patch=d,n=d,d.__name__=\"Patch\",n.prototype.default_view=p,n.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])},\n", " function _(e,t,s,i,r){i();const n=e(1);var a;const _=e(24),h=e(188),o=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),c=e(72);class d extends h.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r=0;t--)e.lineTo(r[t],n[t]);e.closePath(),this.visuals.fill.apply(e),this.visuals.hatch.apply(e)}_hit_point(e){const t=this.sy.length,s=new _.ScreenArray(2*t),i=new _.ScreenArray(2*t);for(let e=0,r=t;e({x1:[l.XCoordinateSpec,{field:\"x1\"}],x2:[l.XCoordinateSpec,{field:\"x2\"}],y:[l.YCoordinateSpec,{field:\"y\"}]})))},\n", " function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n", " function _(e,t,s,i,r){i();const n=e(1);var a;const _=e(24),h=e(188),o=(0,n.__importStar)(e(185)),l=(0,n.__importStar)(e(18)),c=e(72);class y extends h.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r=0;t--)e.lineTo(i[t],n[t]);e.closePath(),this.visuals.fill.apply(e),this.visuals.hatch.apply(e)}scenterxy(e){return[this.sx[e],(this.sy1[e]+this.sy2[e])/2]}_hit_point(e){const t=this.sx.length,s=new _.ScreenArray(2*t),i=new _.ScreenArray(2*t);for(let e=0,r=t;e({x:[l.XCoordinateSpec,{field:\"x\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],y2:[l.YCoordinateSpec,{field:\"y2\"}]})))},\n", " function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of this.filters)t.intersect(e.compute_indices(i));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let e=0;ethis._indices[e]))}convert_selection_to_subset(e){return e.map((e=>this.indices_map[e]))}convert_indices_from_subset(e){return e.map((e=>this._indices[e]))}}s.CDSView=a,c=a,a.__name__=\"CDSView\",c.define((({Array:e,Ref:i})=>({filters:[e(i(u.Filter)),[]],source:[i(_.ColumnarDataSource)]}))),c.internal((({Int:e,Dict:i,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[i(e),{}],masked:[t(s(r.Indices)),null]})))},\n", " function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n", " function _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(146).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(142).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(150).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(193).FuncTickFormatter),c(\"LogTickFormatter\",t(163).LogTickFormatter),c(\"MercatorTickFormatter\",t(166).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(194).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(195).PrintfTickFormatter),c(\"TickFormatter\",t(131).TickFormatter)},\n", " function _(t,e,n,s,r){var c;s();const i=t(131),a=t(13),u=t(34);class o extends i.TickFormatter{constructor(t){super(t)}get names(){return(0,a.keys)(this.args)}get values(){return(0,a.values)(this.args)}_make_func(){const t=(0,u.use_strict)(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map(((t,e,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n", " function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n", " function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return t.map((t=>(0,s.sprintf)(this.format,t)))}}n.PrintfTickFormatter=c,e=c,c.__name__=\"PrintfTickFormatter\",e.define((({String:t})=>({format:[t,\"%s\"]})))},\n", " function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(197).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(199).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(200).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(172).ContinuousColorMapper),e(\"ColorMapper\",r(173).ColorMapper),e(\"LinearColorMapper\",r(201).LinearColorMapper),e(\"LogColorMapper\",r(202).LogColorMapper),e(\"ScanningColorMapper\",r(171).ScanningColorMapper),e(\"EqHistColorMapper\",r(203).EqHistColorMapper)},\n", " function _(t,o,r,a,e){var c;a();const s=t(198),l=t(173),n=t(67);class _ extends l.ColorMapper{constructor(t){super(t)}_v_compute(t,o,r,{nan_color:a}){(0,s.cat_v_compute)(t,this.factors,r,o,this.start,this.end,a)}}r.CategoricalColorMapper=_,c=_,_.__name__=\"CategoricalColorMapper\",c.define((({Number:t,Nullable:o})=>({factors:[n.FactorSeq],start:[t,0],end:[o(t),null]})))},\n", " function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n", " function _(e,r,a,t,s){var c;t();const l=e(198),n=e(67),u=e(174),o=e(20);class p extends u.Mapper{constructor(e){super(e)}v_compute(e){const r=new Array(e.length);return(0,l.cat_v_compute)(e,this.factors,this.markers,r,this.start,this.end,this.default_value),r}}a.CategoricalMarkerMapper=p,c=p,p.__name__=\"CategoricalMarkerMapper\",c.define((({Number:e,Array:r,Nullable:a})=>({factors:[n.FactorSeq],markers:[r(o.MarkerType)],start:[e,0],end:[a(e),null],default_value:[o.MarkerType,\"circle\"]})))},\n", " function _(t,e,a,r,n){var s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n", " function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n", " function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n", " function _(n,t,e,i,o){var s;i();const r=n(171),a=n(12),l=n(9),c=n(19);class h extends r.ScanningColorMapper{constructor(n){super(n)}scan(n,t){const e=null!=this.low?this.low:(0,a.min)(n),i=null!=this.high?this.high:(0,a.max)(n),o=this.bins,s=(0,l.linspace)(e,i,o+1),r=(0,a.bin_counts)(n,s),h=new Array(o);for(let n=0,t=s.length;nn/p));let m=t-1,f=[],M=0,_=2*t;for(;m!=t&&M<4&&0!=m;){const n=_/m;if(n>1e3)break;_=Math.round(Math.max(t*n,t));const e=(0,l.range)(0,_),i=(0,a.map)(u,(n=>n*(_-1)));f=(0,a.interpolate)(e,i,h);m=(0,l.uniq)(f).length-1,M++}if(0==m){f=[e,i];for(let n=0;n({bins:[n,65536]})))},\n", " function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n", " function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e{if(ei)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n", " function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n", " function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n", " function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n", " function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n", " function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n", " function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n", " function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n", " function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n", " function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n", " function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n", " function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n", " function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n", " function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n", " function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n", " function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n", " function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(t){switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.includes)(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n", " function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n", " function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n", " function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed())),this.el.addEventListener(\"keydown\",(t=>{t.keyCode==h.Keys.Enter&&this._clicked()}))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,v.default,f.default]}css_classes(){return super.css_classes().concat(p.toolbar_button)}render(){(0,h.empty)(this.el);const t=this.model.computed_icon;(0,d.isString)(t)&&((0,_.startsWith)(t,\"data:image\")?this.el.style.backgroundImage=`url(\"${t}\")`:this.el.classList.add(t)),this.el.title=this.model.tooltip,this.el.tabIndex=0,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const e=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{left_of:this.el};case\"left\":return{right_of:this.el};case\"above\":return{below:this.el};case\"below\":return{above:this.el}}})();null===(t=this._menu)||void 0===t||t.toggle(e)}}o.ButtonToolButtonView=b,b.__name__=\"ButtonToolButtonView\";class w extends u.ToolView{}o.ButtonToolView=w,w.__name__=\"ButtonToolView\";class y extends u.Tool{constructor(t){super(t)}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=y,l=y,y.__name__=\"ButtonTool\",l.internal((({Boolean:t})=>({disabled:[t,!1]})))},\n", " function _(t,e,i,n,r){\n", " /*! 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i,n,s=e[0].toUpperCase()+e.slice(1),a=0;a1&&!i.firstMultiple?i.firstMultiple=H(e):1===s&&(i.firstMultiple=!1);var o=i.firstInput,a=i.firstMultiple,h=a?a.center:o.center,l=e.center=L(n);e.timeStamp=c(),e.deltaTime=e.timeStamp-o.timeStamp,e.angle=G(h,l),e.distance=j(h,l),function(t,e){var i=e.center,n=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},n=t.offsetDelta={x:i.x,y:i.y});e.deltaX=r.x+(i.x-n.x),e.deltaY=r.y+(i.y-n.y)}(i,e),e.offsetDirection=V(e.deltaX,e.deltaY);var p=U(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=p.x,e.overallVelocityY=p.y,e.overallVelocity=u(p.x)>u(p.y)?p.x:p.y,e.scale=a?(f=a.pointers,v=n,j(v[0],v[1],W)/j(f[0],f[1],W)):1,e.rotation=a?function(t,e){return G(e[1],e[0],W)+G(t[1],t[0],W)}(a.pointers,n):0,e.maxPointers=i.prevInput?e.pointers.length>i.prevInput.maxPointers?e.pointers.length:i.prevInput.maxPointers:e.pointers.length,function(t,e){var 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180*Math.atan2(r,n)/Math.PI}q.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var Z={mousedown:1,mousemove:2,mouseup:4},B=\"mousedown\",$=\"mousemove mouseup\";function J(){this.evEl=B,this.evWin=$,this.pressed=!1,q.apply(this,arguments)}g(J,q,{handler:function(t){var e=Z[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:X,srcEvent:t}))}});var K={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Q={2:N,3:\"pen\",4:X,5:\"kinect\"},tt=\"pointerdown\",et=\"pointermove pointerup pointercancel\";function it(){this.evEl=tt,this.evWin=et,q.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(tt=\"MSPointerDown\",et=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(it,q,{handler:function(t){var e=this.store,i=!1,n=t.type.toLowerCase().replace(\"ms\",\"\"),r=K[n],s=Q[t.pointerType]||t.pointerType,o=s==N,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(i=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),i&&e.splice(a,1))}});var nt={touchstart:1,touchmove:2,touchend:4,touchcancel:8},rt=\"touchstart\",st=\"touchstart touchmove touchend touchcancel\";function ot(){this.evTarget=rt,this.evWin=st,this.started=!1,q.apply(this,arguments)}function at(t,e){var i=P(t.touches),n=P(t.changedTouches);return 12&e&&(i=D(i.concat(n),\"identifier\",!0)),[i,n]}g(ot,q,{handler:function(t){var e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&n.splice(t,1)}),2500)}}function dt(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,i=this.state;function n(i){e.manager.emit(i,t)}i<8&&n(e.options.event+Dt(i)),n(e.options.event),t.additionalEvent&&n(t.additionalEvent),i>=8&&n(e.options.event+Dt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=bt},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ot.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n", " function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n", " function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n", " function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n", " function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return(0,v.some)(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof x.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof z.HelpTool));t(this.help,e)&&(this.help=e);const l=this.tools.filter((t=>t instanceof T.ActionTool));t(this.actions,l)&&(this.actions=l);const i=(t,o)=>{t in this.gestures||r.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},s={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof y.GestureTool&&t.event_type)if((0,b.isString)(t.event_type))s[t.event_type].tools.push(t),i(t.event_type,t);else{s.multi.tools.push(t);for(const o of t.event_type)i(o,t)}for(const o of Object.keys(s)){const e=this.gestures[o];t(e.tools,s[o].tools)&&(e.tools=s[o].tools),e.active&&(0,v.every)(e.tools,(t=>t.id!=e.active.id))&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=(0,b.isString)(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(r.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,r.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=A,a=A,A.__name__=\"ToolbarBase\",a.prototype.default_view=$,a.define((({Boolean:t,Array:o,Ref:e,Nullable:l})=>({tools:[o(e(w.Tool)),[]],logo:[l(u.Logo),\"normal\"],autohide:[t,!1]}))),a.internal((({Array:t,Struct:o,Ref:e,Nullable:l})=>{const i=o({tools:t(e(y.GestureTool)),active:l(e(w.Tool))});return{gestures:[o({pan:i,scroll:i,pinch:i,tap:i,doubletap:i,press:i,pressup:i,rotate:i,move:i,multi:i}),V],actions:[t(e(T.ActionTool)),[]],inspectors:[t(e(x.InspectTool)),[]],help:[t(e(z.HelpTool)),[]],toolbar_location:[u.Location,\"right\"]}}))},\n", " function _(n,o,e,t,f){t();const r=n(9);function*i(n,o){const e=n.length;if(o>e)return;const t=(0,r.range)(o);for(yield t.map((o=>n[o]));;){let f;for(const n of(0,r.reversed)((0,r.range)(o)))if(t[n]!=n+e-o){f=n;break}if(null==f)return;t[f]+=1;for(const n of(0,r.range)(f+1,o))t[n]=t[n-1]+1;yield t.map((o=>n[o]))}}e.enumerate=function*(n){let o=0;for(const e of n)yield[e,o++]},e.join=function*(n,o){let e=!0;for(const t of n)e?e=!1:null!=o&&(yield o()),yield*t},e.combinations=i,e.subsets=function*(n){for(const o of(0,r.range)(n.length+1))yield*i(n,o)}},\n", " function _(t,e,s,i,n){i();const o=t(236),a=t(65),r=t(43);function h(t){!function(t){void 0===t.lineDash&&Object.defineProperty(t,\"lineDash\",{get:()=>t.getLineDash(),set:e=>t.setLineDash(e)})}(t),function(t){t.setImageSmoothingEnabled=e=>{t.imageSmoothingEnabled=e,t.mozImageSmoothingEnabled=e,t.oImageSmoothingEnabled=e,t.webkitImageSmoothingEnabled=e,t.msImageSmoothingEnabled=e},t.getImageSmoothingEnabled=()=>{const e=t.imageSmoothingEnabled;return null==e||e}}(t),function(t){t.ellipse||(t.ellipse=function(e,s,i,n,o,a,r,h=!1){const l=.551784;t.translate(e,s),t.rotate(o);let c=i,g=n;h&&(c=-i,g=-n),t.moveTo(-c,0),t.bezierCurveTo(-c,g*l,-c*l,g,0,g),t.bezierCurveTo(c*l,g,c,g*l,c,0),t.bezierCurveTo(c,-g*l,c*l,-g,0,-g),t.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),t.rotate(-o),t.translate(-e,-s)})}(t)}const 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a.AnnotationView{initialize(){super.initialize(),this.el=(0,r.div)({class:d.tooltip}),(0,r.undisplay)(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){(0,r.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),c.default]}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{content:e}=this.model;null!=e?((0,r.empty)(this.el),(0,r.classes)(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(e),this.model.show_arrow&&this.el.classList.add(d.tooltip_arrow)):(0,r.undisplay)(this.el)}_reposition(){const{position:e}=this.model;if(null==e)return void(0,r.undisplay)(this.el);const[t,s]=e,i=(()=>{const e=this.parent.layout.bbox.relative(),{attachment:i}=this.model;switch(i){case\"horizontal\":return t({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[e,!0],show_arrow:[e,!0]}))),n.internal((({Boolean:e,Number:t,Tuple:s,Ref:i,Nullable:l})=>({position:[l(s(t,t)),null],content:[i(HTMLElement),()=>(0,r.div)()],custom:[e]}))),n.override({level:\"overlay\"})},\n", " function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n", " function _(e,t,s,i,r){var a;i();const l=e(115),_=e(112),h=e(113),o=e(48);class n extends l.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await(0,h.build_view)(e,{parent:this})),null!=t&&(this.upper_head=await(0,h.build_view)(t,{parent:this}))}set_data(e){var t,s;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(s=this.upper_head)||void 0===s||s.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;t({lower_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})],upper_head:[t(e(_.ArrowHead)),()=>new _.TeeHead({size:10})]}))),a.override({level:\"underlay\"})},\n", " function _(n,o,t,u,e){u(),e(\"CustomJS\",n(245).CustomJS),e(\"OpenURL\",n(247).OpenURL)},\n", " function _(t,e,s,n,c){var a;n();const r=t(246),u=t(13),o=t(34);class i extends r.Callback{constructor(t){super(t)}get names(){return(0,u.keys)(this.args)}get values(){return(0,u.values)(this.args)}get func(){const t=(0,o.use_strict)(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,a=i,i.__name__=\"CustomJS\",a.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))},\n", " function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n", " function _(e,t,n,o,i){var s;o();const c=e(246),r=e(152),a=e(8);class d extends c.Callback{constructor(e){super(e)}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=(0,r.replace_placeholders)(this.url,t,e,void 0,void 0,encodeURI);if(!(0,a.isString)(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=d,s=d,d.__name__=\"OpenURL\",s.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))},\n", " function _(a,n,i,e,r){e(),r(\"Canvas\",a(249).Canvas),r(\"CartesianFrame\",a(126).CartesianFrame),r(\"CoordinateMapping\",a(54).CoordinateMapping)},\n", " function _(e,t,i,s,a){var r,l=this&&this.__createBinding||(Object.create?function(e,t,i,s){void 0===s&&(s=i),Object.defineProperty(e,s,{enumerable:!0,get:function(){return t[i]}})}:function(e,t,i,s){void 0===s&&(s=i),e[s]=t[i]}),n=this&&this.__setModuleDefault||(Object.create?function(e,t){Object.defineProperty(e,\"default\",{enumerable:!0,value:t})}:function(e,t){e.default=t}),o=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var i in e)\"default\"!==i&&Object.prototype.hasOwnProperty.call(e,i)&&l(t,e,i);return n(t,e),t};s();const h=e(14),c=e(226),u=e(19),_=e(43),d=e(20),p=e(13),b=e(250),v=e(65),g=e(138),w=e(235);const y=(()=>{let t;return async()=>void 0!==t?t:t=await async function(){const t=document.createElement(\"canvas\"),i=t.getContext(\"webgl\",{premultipliedAlpha:!0});if(null!=i){const s=await(0,g.load_module)(Promise.resolve().then((()=>o(e(410)))));if(null!=s){const e=s.get_regl(i);if(e.has_webgl)return{canvas:t,regl_wrapper:e};u.logger.trace(\"WebGL is supported, but not the required extensions\")}else u.logger.trace(\"WebGL is supported, but bokehjs(.min).js bundle is not available\")}else u.logger.trace(\"WebGL is not supported\");return null}()})(),m={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class f extends c.DOMView{constructor(){super(...arguments),this.bbox=new v.BBox,this.webgl=null}initialize(){super.initialize(),this.underlays_el=(0,_.div)({style:m}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=(0,_.div)({style:m}),this.events_el=(0,_.div)({class:\"bk-canvas-events\",style:m});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];(0,p.extend)(this.el.style,m),(0,_.append)(this.el,...e),this.ui_event_bus=new b.UIEventBus(this)}async lazy_initialize(){await super.lazy_initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=await y())}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new v.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const[a,r,l,n]=e,{xview:o,yview:h}=this.bbox,c=o.compute(a),u=h.compute(r+n),_=this.pixel_ratio;t.regl_wrapper.set_scissor(_*c,_*u,_*l,_*n),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(u.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new w.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=f,f.__name__=\"CanvasView\";class x extends h.HasProps{constructor(e){super(e)}}i.Canvas=x,r=x,x.__name__=\"Canvas\",r.prototype.default_view=f,r.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[d.OutputBackend,\"canvas\"]})))},\n", " function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return 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o=e(178),_=e(184),d=e(48),u=e(24),h=e(20),c=(0,n.__importStar)(e(18)),l=e(10),p=e(72);class x extends o.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,u.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,u.to_screen)(this.outer_radius)}_render(e,t,s){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:o,souter_radius:_}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],u=r[s],h=o[s],c=_[s],l=n.get(s),p=a.get(s);if(!isFinite(t+u+h+c+l+p))continue;const x=p-l;e.translate(t,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,x,d),e.rotate(x),e.lineTo(h,0),e.arc(0,0,h,0,-x,!d),e.closePath(),e.rotate(-x-l),e.translate(-t,-u),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,o,_;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,o=i+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,o]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,d)}const d=[];for(const e of this.index.indices({x0:n,x1:o,y0:a,y1:_})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[o,_]=this.renderer.yscale.r_compute(r,this._y[e]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new p.Selection({indices:h})}draw_legend_for_index(e,t,s){(0,_.generic_area_vector_legend)(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.AnnularWedge=g,a=g,g.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n", " function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n", " function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),c=s(20),_=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null==i?void 0:i.regl_wrapper.has_webgl){const{MarkerGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(426))));this.glglyph=new e(i.regl_wrapper,this,\"circle\")}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n", " function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n", " function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n", " function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n", " function _(t,e,s,i,h){i();const r=t(1);var a;const n=t(277),o=t(24),_=(0,r.__importStar)(t(18));class c extends n.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new o.ScreenArray(t),this.sbottom=new o.ScreenArray(t);for(let e=0;e({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))},\n", " function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i({r:[l.NumberSpec,{field:\"r\"}],q:[l.NumberSpec,{field:\"q\"}],scale:[l.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n", " function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n", " function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n", " function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n", " function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n", " function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n", " function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i1&&c.length>1)for(let s=1,n=i.length;s1){let r=!1;for(let t=1;t({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n", " function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n", " function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n", " function _(t,e,o,i,s){i();const r=t(1);var n;const _=t(277),d=(0,r.__importStar)(t(18));class a extends _.BoxView{scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}o.QuadView=a,a.__name__=\"QuadView\";class c extends _.Box{constructor(t){super(t)}}o.Quad=c,n=c,c.__name__=\"Quad\",n.prototype.default_view=a,n.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))},\n", " function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n", " function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=(0,_.to_screen)(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[c.DistanceSpec,0],angle:[c.AngleSpec,0]})))},\n", " function _(t,e,s,i,r){var n,h=this&&this.__createBinding||(Object.create?function(t,e,s,i){void 0===i&&(i=s),Object.defineProperty(t,i,{enumerable:!0,get:function(){return e[s]}})}:function(t,e,s,i){void 0===i&&(i=s),t[i]=e[s]}),a=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),l=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var s in t)\"default\"!==s&&Object.prototype.hasOwnProperty.call(t,s)&&h(e,t,s);return a(e,t),e};i();const o=t(275),c=t(184),_=t(24),d=t(12),f=t(72);class y extends o.CenterRotatableView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null==e?void 0:e.regl_wrapper.has_webgl){const{RectGL:s}=await Promise.resolve().then((()=>l(t(425))));this.glglyph=new s(e.regl_wrapper,this)}}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=(0,_.to_screen)(this.width);const t=this.sx.length;this.sx0=new _.ScreenArray(t);for(let e=0;e({dilate:[t,!1]})))},\n", " function _(e,t,s,r,i){r();const a=e(1);var n;const l=e(292),_=e(293),c=(0,a.__importStar)(e(18));class o extends l.MarkerView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{MarkerGL:t}=await Promise.resolve().then((()=>(0,a.__importStar)(e(426))));this.glcls=t}}_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const{regl_wrapper:t}=e;if(t.has_webgl){const e=new Set(null!=this.base?this.base.marker:this.marker);if(1==e.size){const[s]=[...e],r=this.glcls;if(null==r?void 0:r.is_supported(s)){const{glglyph:e}=this;if(null==e||e.marker_type!=s)return void(this.glglyph=new r(t,this,s))}}}}delete this.glglyph}_set_visuals(){this._init_webgl()}_render(e,t,s){const{sx:r,sy:i,size:a,angle:n,marker:l}=null!=s?s:this;for(const s of t){const t=r[s],c=i[s],o=a.get(s),g=n.get(s),h=l.get(s);if(!isFinite(t+c+o+g)||null==h)continue;const w=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,s,w,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:s,y0:r,y1:i},a){const n=a+1,l=this.marker.get(a),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:s,y0:r,y1:i},a)),{marker:new c.UniformScalar(l,n)});this._render(e,[a],_)}}s.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}s.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n", " function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n", " function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n", " function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n", " function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}}s.Spline=h,_=h,h.__name__=\"Spline\",_.prototype.default_view=r,_.mixins(a.LineScalar),_.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))},\n", " function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){(0,l.assert)(n.length==t.length);const r=n.length,f=s?r+1:r,w=(0,c.infer_type)(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n", " function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n", " function _(t,s,e,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class c extends a.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let s=0;s({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n", " function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),l=e(184),d=e(48),o=e(24),h=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,o.to_screen)(this.radius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,l=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],d=n[t],o=r[t],h=a.get(t),_=c.get(t);isFinite(s+d+o+h+_)&&(e.beginPath(),e.arc(s,d,o,h,_,l),e.lineTo(s,d),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r,a,c,l,d;const{sx:o,sy:h}=e,_=this.renderer.xscale.invert(o),p=this.renderer.yscale.invert(h),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=_-x,c=_+x,l=p-x,d=p+x):(t=o-x,i=o+x,[a,c]=this.renderer.xscale.r_invert(t,i),n=h-x,r=h+x,[l,d]=this.renderer.yscale.r_invert(n,r));const y=[];for(const e of this.index.indices({x0:a,x1:c,y0:l,y1:d})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(_,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&y.push(e)}const f=\"anticlock\"==this.model.direction,m=[];for(const e of y){const s=Math.atan2(h-this.sy[e],o-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),f)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,l.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class x extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=x,a=x,x.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n", " function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n", " function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n", " function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n", " function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t({graph_layout:[l(a(t,t)),{}]})))},\n", " function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n", " function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;sn[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n", " function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n", " function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n", " function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n", " function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n", " function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n", " function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n", " function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n", " function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n", " function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n", " function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n", " function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8, \\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8, \\');}'},\n", " function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n", " function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n", " function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n", " function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n", " function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n", " function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n", " function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e({range:[n(e(o.Range)),null]})))},\n", " function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let r=0;ro*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n", " function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n", " function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(tthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=(0,i.find_last_index)(this._x_sorted,(s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n", " function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n", " function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"3.43\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n", " function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n", " function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n", " function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n", " function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>=o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&r<=o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>=o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<=o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n", " function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.indexm.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n", " function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n", " function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n", " function _(e,r,i,n,t){var d;n();const o=e(176),s=e(175),a=e(303),l=e(302),p=e(113),_=e(178),h=e(283),y=e(286);class c extends o.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,p.build_view)(r,{parent:e}),this.node_view=await(0,p.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y},this.model.edge_renderer=e,this.model.node_renderer=r}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof s.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends o.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,d=g,g.__name__=\"GraphRenderer\",d.prototype.default_view=c,d.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(s.GlyphRenderer)],edge_renderer:[e(s.GlyphRenderer)],selection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly],inspection_policy:[e(l.GraphHitTestPolicy),()=>new l.NodesOnly]})))},\n", " function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n", " function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n", " function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n", " function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n", " function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n", " function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n", " function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n", " function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n", " function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n", " function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n", " function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n", " function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n", " function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);ei&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n", " function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n", " function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n", " function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n", " function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n", " function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n", " function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n", " function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n", " function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n", " function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n", " function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n", " function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n", " function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n", " function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n", " function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n", " function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n", " function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n", " function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n", " function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n", " function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n", " function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n", " function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n", " function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;sthis._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n", " function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n", " function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n", " function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n", " function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n", " function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n", " function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n", " function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n", " function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n", " function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n", " function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(nt.end)&&(this.v_axis_only=!0),(es.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n", " function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(en.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n", " function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n", " function _(e,t,s,n,i){var o;n();const a=e(223),l=e(20),_=e(228),r=e(384);class h extends a.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[o,a]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,c,p;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=o,d=a,c=l-t*e,p=_-t*e;break}case\"width\":{const t=Math.abs(a-o);h=o-t*e,d=a-t*e,c=l,p=_;break}}const{x_scales:m,y_scales:u}=s,w={xrs:(0,r.update_ranges)(m,h,d),yrs:(0,r.update_ranges)(u,c,p),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model)}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends a.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,o=d,d.__name__=\"WheelPanTool\",o.prototype.default_view=h,o.define((()=>({dimension:[l.Dimension,\"width\"]}))),o.internal((({Number:e})=>({speed:[e,.001]}))),o.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),o.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n", " function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.startthis.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n", " function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n", " function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n", " function _(e,t,n,s,o){s();const i=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=(0,i.__importStar)(e(185)),y=e(152),f=e(43),v=e(22),x=e(13),w=e(234),g=e(8),b=e(113),k=e(20),C=e(228),S=e(15),T=e(66),$=(0,i.__importStar)(e(242)),R=e(392);function M(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=m.dist_2_pts(r,e),c=m.dist_2_pts(l,e)}return adelete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,g.isString)(n)||(0,g.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,b.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));S.Signal.disconnect_receiver(this,i,e)}for(const e of o)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,T.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager(),r=i.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty())return void o.clear();const a=i.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,m=c.coordinates.x_scale,y=c.coordinates.y_scale,v=m.invert(d),w=y.invert(p),{glyph:g}=c,b=[];if(g instanceof h.LineView)for(const n of l.line_indices){let s,o,i=g._x[n+1],r=g._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,r]=g.get_interpolation_hit(n,t),s=m.compute(i),o=y.compute(r);break;case\"prev\":[[s,o],c]=G(g.sx,g.sy,n);break;case\"next\":[[s,o],c]=G(g.sx,g.sy,n+1);break;case\"nearest\":[[s,o],c]=M(n,t,d,p,g.sx,g.sy),i=g._x[c],r=g._y[c];break;default:[s,o]=[d,p]}const _={index:c,x:v,y:w,sx:d,sy:p,data_x:i,data_y:r,rx:s,ry:o,indices:l.line_indices,name:e.name};b.push([s,o,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:v,y:w,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);b.push([d,p,s])}for(const o of l.indices)if(g instanceof u.MultiLineView&&!(0,x.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[o.toString()]){let s,i,r,c=g._xs.get(o)[n],h=g._ys.get(o)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=g.get_interpolation_hit(o,n,t),s=m.compute(c),i=y.compute(h);break;case\"prev\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n);break;case\"next\":[[s,i],u]=G(g.sxs.get(o),g.sys.get(o),n+1);break;case\"nearest\":[[s,i],u]=M(n,t,d,p,g.sxs.get(o),g.sys.get(o)),c=g._xs.get(o)[u],h=g._ys.get(o)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const f={index:r,x:v,y:w,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};b.push([s,i,this._render_tooltips(a,r,f)])}else{const t=null===(n=g._x)||void 0===n?void 0:n[o],i=null===(s=g._y)||void 0===s?void 0:s[o];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=g.get_anchor_point(this.model.anchor,o,[d,p]);if(null==e&&(e=g.get_anchor_point(\"center\",o,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:v,y:w,sx:d,sy:p,data_x:t,data_y:i,indices:l.indices,name:e.name};b.push([r,c,this._render_tooltips(a,h,u)])}if(0==b.length)o.clear();else{const{content:e}=o;(0,f.empty)(o.content);for(const[,,t]of b)null!=t&&e.appendChild(t);const[t,n]=b[b.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,f.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,f.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=(0,f.span)();o.dataset.value=\"\";const i=(0,f.span)({class:$.tooltip_color_block},\" \");i.dataset.swatch=\"\",(0,f.undisplay)(i);const r=(0,f.div)({style:{display:\"table-cell\"},class:$.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of(0,w.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=(0,g.isNumber)(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=(0,v.color2css)(e),(0,f.display)(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,g.isNumber)(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?(0,v.color2hex)(d):(0,v.color2css)(d),c&&(l[i].style.backgroundColor=(0,v.color2css)(d),(0,f.display)(l[i]))}}else{const t=(0,y.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if((0,g.isString)(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if((0,g.isString)(o)){const s=(0,y.replace_placeholders)({html:o},e,t,this.model.formatters,n);return(0,f.div)(s)}if((0,g.isFunction)(o))return o(e,n);if(o instanceof R.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class A extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=C.tool_icon_hover}}n.HoverTool=A,r=A,A.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(R.Template),n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(l(a.CustomJSHover),y.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[k.HoverMode,\"mouse\"],muted_policy:[k.MutedPolicy,\"show\"],point_policy:[k.PointPolicy,\"snap_to_data\"],line_policy:[k.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[k.Anchor,\"center\"],attachment:[k.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new A))},\n", " function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends q{}s.Template=K,u=K,K.__name__=\"Template\",u.prototype.default_view=J,u.define((({Array:e,Ref:t})=>({actions:[e(t(H)),[]]})));class Q extends j{}s.SpanView=Q,Q.__name__=\"SpanView\",Q.tag_name=\"span\";class U extends q{}s.Span=U,m=U,U.__name__=\"Span\",m.prototype.default_view=Q;class W extends j{}s.DivView=W,W.__name__=\"DivView\",W.tag_name=\"div\";class X extends q{}s.Div=X,w=X,X.__name__=\"Div\",w.prototype.default_view=W;class Y extends j{}s.TableView=Y,Y.__name__=\"TableView\",Y.tag_name=\"table\";class Z extends q{}s.Table=Z,f=Z,Z.__name__=\"Table\",f.prototype.default_view=Y;class ee extends j{}s.TableRowView=ee,ee.__name__=\"TableRowView\",ee.tag_name=\"tr\";class te extends q{}s.TableRow=te,h=te,te.__name__=\"TableRow\",h.prototype.default_view=ee;const se=e(41),ne=e(234);class ae extends F{update(e,t,s){for(const[e,s]of(0,ne.enumerate)(this.model.groups))e.visible=t==s}}s.ToggleGroupView=ae,ae.__name__=\"ToggleGroupView\";class le extends H{constructor(e){super(e)}}s.ToggleGroup=le,x=le,le.__name__=\"ToggleGroup\",x.prototype.default_view=ae,x.define((({Array:e,Ref:t})=>({groups:[e(t(se.RendererGroup)),[]]})))},\n", " function _(l,n,u,_,e){var t;_();const o=l(53);class r extends 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" function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n", " function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in s[o]||(s[o][e.type]=[]),s[o][e.type].push(e)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new p.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of(0,h.keys)(s)){const t=this.gestures[o];t.tools=[];for(const e of(0,h.keys)(s[o])){const i=s[o][e];if(i.length>0)if(\"multi\"==o)for(const o of i){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(i);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of(0,h.entries)(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends u.LayoutDOM{constructor(o){super(o)}}s.ToolbarBox=b,r=b,b.__name__=\"ToolbarBox\",r.prototype.default_view=d,r.define((({Ref:o})=>({toolbar:[o(a.ToolbarBase)],toolbar_location:[l.Location,\"right\"]})))},\n", " function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=(0,s.__importStar)(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if((0,a.isString)(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct((0,l.to_object)(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n", " function _(n,e,t,o,i){o();const d=n(5),c=n(226),s=n(113),a=n(43),l=n(398);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=(0,a.div)({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await(0,s.build_view)(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n", " function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=(0,l.div)({class:n.BOKEH_ROOT});(0,l.replaceWith)(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n", " function _(n,o,t,s,e){s();const c=n(400),r=n(19),a=n(397);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),`${s}//${t.host}${n}/ws`};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=(0,c.parse_token)(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=(0,c.pull_session)(n,o,t)),e[s]}(n,o,l)}catch(n){const t=(0,c.parse_token)(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return(0,a.add_document_standalone)(d.document,t,s,e)}},\n", " function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(401),l=e(402),_=e(403);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise(((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)}))}catch(e){throw r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection 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connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now 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t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")})):null}(),h=l(br,!1);return{elements:s,primitive:m,count:p,instances:h,offset:d,vao:f,vaoActive:i,elementsActive:u,static:a}}(e,d),A=function(e,t){var r=e.static,n=e.dynamic,i={};return k.forEach((function(e){var o=E(e);function f(t,a){if(e in r){var f=t(r[e]);i[o]=an((function(){return f}))}else if(e in n){var u=n[e];i[o]=on(u,(function(e,t){return a(e,t,e.invoke(t,u))}))}}switch(e){case Nt:case It:case Vt:case er:case Mt:case ir:case Xt:case Kt:case Jt:case Gt:return f((function(r){return _.commandType(r,\"boolean\",e,t.commandStr),r}),(function(t,r,n){return _.optional((function(){t.assert(r,\"typeof \"+n+'===\"boolean\"',\"invalid flag \"+e,t.commandStr)})),n}));case Wt:return f((function(r){return _.commandParameter(r,$r,\"invalid \"+e,t.commandStr),$r[r]}),(function(t,r,n){var a=t.constants.compareFuncs;return _.optional((function(){t.assert(r,n+\" in \"+a,\"invalid \"+e+\", must be one of 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_.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in 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_.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[r.def(n,\".factor|0\"),r.def(n,\".units|0\")]}));case qt:return f((function(e){var r=0;return\"front\"===e?r=Hr:\"back\"===e&&(r=Nr),_.command(!!r,o,t.commandStr),r}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"front\"||'+r+'===\"back\"',\"invalid cull.face\")})),t.def(r,'===\"front\"?',Hr,\":\",Nr)}));case Yt:return f((function(e){return _.command(\"number\"==typeof e&&e>=a.lineWidthDims[0]&&e<=a.lineWidthDims[1],\"invalid line width, must be a positive number between \"+a.lineWidthDims[0]+\" and \"+a.lineWidthDims[1],t.commandStr),e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"&&'+r+\">=\"+a.lineWidthDims[0]+\"&&\"+r+\"<=\"+a.lineWidthDims[1],\"invalid line width\")})),r}));case Qt:return f((function(e){return _.commandParameter(e,Zr,o,t.commandStr),Zr[e]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"cw\"||'+r+'===\"ccw\"',\"invalid frontFace, must be one of cw,ccw\")})),t.def(r+'===\"cw\"?2304:'+qr)}));case Ht:return f((function(e){return _.command(me(e)&&4===e.length,\"color.mask must be length 4 array\",t.commandStr),e.map((function(e){return!!e}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"invalid color.mask\")})),V(4,(function(e){return\"!!\"+r+\"[\"+e+\"]\"}))}));case Zt:return f((function(e){_.command(\"object\"==typeof e&&e,o,t.commandStr);var r=\"value\"in e?e.value:1,n=!!e.invert;return _.command(\"number\"==typeof r&&r>=0&&r<=1,\"sample.coverage.value must be a number between 0 and 1\",t.commandStr),[r,n]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+\"&&typeof \"+r+'===\"object\"',\"invalid sample.coverage\")})),[t.def('\"value\" in 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t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var T=Object.keys(A).length>0,D={framebuffer:y,draw:w,shader:S,state:A,dirty:T,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(D.profile=function(e){var t,r=e.static,n=e.dynamic;if(ur in r){var a=!!r[ur];(t=an((function(e,t){return a}))).enable=a}else if(ur in n){var i=n[ur];t=on(i,(function(e,t){return e.invoke(t,i)}))}return t}(e),D.uniforms=function(e,t){var r=e.static,n=e.dynamic,a={};return Object.keys(r).forEach((function(e){var n,i=r[e];if(\"number\"==typeof i||\"boolean\"==typeof i)n=an((function(){return i}));else if(\"function\"==typeof i){var o=i._reglType;\"texture2d\"===o||\"textureCube\"===o?n=an((function(e){return e.link(i)})):\"framebuffer\"===o||\"framebufferCube\"===o?(_.command(i.color.length>0,'missing color attachment for framebuffer sent to uniform \"'+e+'\"',t.commandStr),n=an((function(e){return e.link(i.color[0])}))):_.commandRaise('invalid data for uniform \"'+e+'\"',t.commandStr)}else me(i)?n=an((function(t){return 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e=0;e=0},read:z,destroy:function(){I.length=0,le(),V&&(V.removeEventListener(cn,de),V.removeEventListener(ln,me)),k.clear(),E.clear(),O.clear(),A.clear(),S.clear(),w.clear(),x.clear(),m&&m.clear(),q.forEach((function(e){e()}))},_gl:a,_refresh:xe,poll:function(){ye(),m&&m.update()},now:we,stats:l});return n.onDone(null,Ae),Ae}},\"object\"==typeof r&&void 0!==t?t.exports=o():\"function\"==typeof define&&define.amd?define(o):i.createREGL=o()},\n", " 413: function _(t,e,s,a,r){a();const n=t(414),_=t(12);class o{constructor(t){this._regl=t,this._map=new Map}_create_texture(t){const e=t.length;let s=0;const a=[];let r=0,_=0;for(let n=0;nc[f+1]&&f++;const a=t[f],n=c[f]+.5*a;let o=.5*a-Math.abs(s-n);f%2==1&&(o=-o),m[e]=Math.round(255*(o-r)/(_-r))}return[[s,u,r,_],this._regl.texture({shape:[l,1,1],data:m,wrapS:\"repeat\",format:\"alpha\",type:\"uint8\",mag:\"linear\",min:\"linear\"})]}_get_key(t){return t.join(\",\")}_get_or_create(t){const e=this._get_key(t);let s=this._map.get(e);if(null==s){const a=(0,n.gcd)(t);if(a>1){t=(0,_.map)(t,(t=>t/a)),s=this._get_or_create(t);const[r,n,o]=s;s=[r,n,a],this._map.set(e,s)}else{const[r,n]=this._create_texture(t);s=[r,n,a],this._map.set(e,s)}}return s}get(t){return t.length%2==1&&(t=t.slice(0,-1)),this._get_or_create(t)}}s.DashCache=o,o.__name__=\"DashCache\"},\n", " 414: function _(n,t,e,r,o){function u(n,t){let e,r;n>t?(e=n,r=t):(e=t,r=n);let o=e%r;for(;0!=o;)e=r,r=o,o=e%r;return r}r(),e.gcd=function(n){let t=n[0];for(let e=1;e u_miter_limit);\\n miter_too_large_end = (miter_factor_end > u_miter_limit);\\n }\\n\\n float sign_at_start = -sign(a_position.x); // +ve at segment start, -ve end.\\n vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n vec2 adjacent_point =\\n sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n : (has_end_cap ? a_point_end : a_point_next);\\n\\n if ( (has_start_cap && sign_at_start > 0.0) ||\\n (has_end_cap && sign_at_start < 0.0) ) {\\n // Cap.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (cap_type == butt_cap)\\n xy -= sign_at_start*0.5*u_antialias*segment_along;\\n else\\n xy -= sign_at_start*halfwidth*segment_along;\\n }\\n else { // Join.\\n // +ve if turning to right, -ve if to left.\\n float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n vec2 point_right = normalize(segment_right + adjacent_right);\\n float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n if (abs(a_position.x) > 1.5) {\\n // Outer point, meets prev/next segment.\\n float factor; // multiplied by halfwidth...\\n\\n if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n factor = 1.0 / miter_factor; // cos_theta.\\n else if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh)\\n factor = 1.0;\\n else // miter, or round (small angle only).\\n factor = miter_factor;\\n\\n xy = point - point_right*(halfwidth*turn_sign*factor);\\n v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n }\\n else if (turn_sign*a_position.y < 0.0) {\\n // Inner point, meets prev/next segment.\\n float len = halfwidth*miter_factor;\\n float segment_len = v_segment_length;\\n float adjacent_len = distance(point, adjacent_point);\\n\\n if (len <= min(segment_len, adjacent_len))\\n // Normal behaviour.\\n xy = point - point_right*(len*a_position.y);\\n else\\n // For short wide line segments the inner point using the above\\n // calculation can be outside of the line. Here clipping it.\\n xy = point + segment_right*(halfwidth*turn_sign);\\n }\\n else {\\n // Point along outside edge.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh) {\\n xy = line_intersection(xy, segment_along,\\n point - turn_sign*point_right*halfwidth,\\n right_vector(point_right));\\n }\\n }\\n }\\n\\n vec2 pos = xy + 0.5; // Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n v_coords.x = dot(xy - a_point_start, segment_along);\\n v_flags = float(int(has_start_cap) +\\n 2*int(has_end_cap) +\\n 4*int(miter_too_large_start) +\\n 8*int(miter_too_large_end));\\n v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n", " 416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n // +ve if point to right of line.\\n // Alternatively could do dot product with right_vector.\\n return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n // In v_coords reference frame (x is along segment, y across).\\n vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n float sin_alpha = cos_theta;\\n float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n return halfwidth + sign_start*point_line_distance(\\n v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n // x is distance along segment in direction away from end of segment,\\n // y is distance across segment.\\n if (cap_type == butt_cap)\\n return max(0.5*u_linewidth - x, abs(y));\\n else if (cap_type == square_cap)\\n return max(-x, abs(y));\\n else // cap_type == round_cap\\n return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n 0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n // x is in direction of v_coords.x, i.e. along segment.\\n float tex_length = u_dash_tex_info.x;\\n float tex_offset = u_dash_tex_info.y;\\n float tex_dist_min = u_dash_tex_info.z;\\n float tex_dist_max = u_dash_tex_info.w;\\n\\n // Apply offset.\\n x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n // Interpolate within texture to obtain distance to dash.\\n float dist = texture2D(u_dash_tex,\\n vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n // Scale distance within min and max limits.\\n dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n return u_dash_scale*dist;\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n // Rotation matrix for v_coords from this segment to prev or next segment.\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n\\n float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n float sin_2theta = 2.0*sin_theta*cos_theta;\\n return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n\\n // Extract flags.\\n int flags = int(v_flags + 0.5);\\n bool miter_too_large_end = (flags / 8 > 0);\\n flags -= 8*int(miter_too_large_end);\\n bool miter_too_large_start = (flags / 4 > 0);\\n flags -= 4*int(miter_too_large_start);\\n bool has_end_cap = (flags / 2 > 0);\\n flags -= 2*int(has_end_cap);\\n bool has_start_cap = flags > 0;\\n\\n float dist = v_coords.y; // For straight segment, and miter join.\\n\\n if (v_coords.x <= 0.5*u_antialias) {\\n // At start of segment, either cap or join.\\n if (has_start_cap)\\n dist = cap(cap_type, v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(0.0, 0.0));\\n else if (join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_start))\\n dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n else if (v_coords.x >= v_segment_length - 0.5*u_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, v_segment_length - v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(v_segment_length, 0));\\n else if ((join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_end)))\\n dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n\\n float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n if (u_dash_tex_info.x >= 0.0) {\\n // Dashes in straight segments (outside of joins) are easily calculated.\\n dist = dash_distance(v_coords.x);\\n\\n if (!has_start_cap && cap_type == butt_cap) {\\n if (v_coords.x < 0.5*u_antialias) {\\n // Outer of start join rendered solid color or not at all\\n // depending on whether corner point is in dash or gap, with\\n // antialiased ends.\\n dist = (dash_distance(0.0) > 0.0 ? 0.5*u_antialias - v_coords.x\\n : -0.5*u_linewidth);\\n\\n // Also consider antialiased end of dash just outside corner.\\n float end_dist = dash_distance(0.5*u_antialias) + v_coords.x -\\n 0.5*u_antialias;\\n dist = max(dist, end_dist);\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth &&\\n prev_coords.x < 0.5*u_antialias) {\\n // Extend dashes across from previous segment, with antialiased\\n // end.\\n float new_dist = dash_distance(min(prev_coords.x,\\n -0.5*u_antialias));\\n\\n if (prev_coords.x > -0.5*u_antialias)\\n new_dist -= prev_coords.x + 0.5*u_antialias;\\n\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n if (!has_end_cap && cap_type == butt_cap) {\\n if (v_coords.x > v_segment_length - 0.5*u_antialias) {\\n // Similar for end join.\\n dist = (dash_distance(v_segment_length) > 0.0\\n ? v_coords.x - v_segment_length + 0.5*u_antialias\\n : -0.5*u_linewidth);\\n\\n float end_dist =\\n dash_distance(v_segment_length - 0.5*u_antialias) -\\n v_coords.x + v_segment_length - 0.5*u_antialias;\\n dist = max(dist, end_dist);\\n }\\n\\n vec2 next_coords =\\n rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth &&\\n next_coords.x > -0.5*u_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = dash_distance(v_segment_length +\\n max(next_coords.x, 0.5*u_antialias));\\n\\n if (next_coords.x < 0.5*u_antialias)\\n new_dist += next_coords.x - 0.5*u_antialias;\\n\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n dist = cap(cap_type, dist, v_coords.y);\\n\\n float dash_alpha = distance_to_alpha(dist);\\n alpha = min(alpha, dash_alpha);\\n }\\n#endif\\n\\n alpha = u_line_color.a*alpha;\\n gl_FragColor = vec4(u_line_color.rgb*alpha, alpha); // Premultiplied alpha.\\n}\\n\"},\n", " 417: function _(n,i,o,a,t){a();o.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_size;\\nattribute float a_angle; // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_show;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying vec2 v_coords;\\n\\nvoid main()\\n{\\n v_size = a_size;\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n\\n if (a_show < 0.5) {\\n // Do not show this marker.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n float enclosing_size = v_size + 2.0*v_linewidth + 3.0*u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used in\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n pos += 0.5; // make up for Bokeh's offset\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n", " 418: function _(n,a,e,t,s){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float SQRT_3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\nuniform float u_antialias;\\n\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_coords;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n // Masks\\n float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / 2.0;\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n // Shapes\\n float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n float cross = min(abs(P.x), abs(P.y));\\n // Result is union of masked shapes\\n float result = min(max(X, diamond), max(cross, square));\\n return max(result - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n return max(length(P) - size/8.0 - v_linewidth/15.0 + u_antialias, 0.0);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size/2.0;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(circle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(square, dot_);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n float diamond = r1 / SQRT_2;\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(diamond, dot_);\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_HEX_DOT\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n float hex = max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n return max(hex, dot_);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_STAR_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n float star = length(P)*sign(P.x);\\n return max(star, dot_);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_DOT\\nfloat marker(vec2 P, float size)\\n{\\n float dot_ = min(size/8.0 + v_linewidth/15.0 - u_antialias - length(P), 0.0);\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n float triangle = max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n return max(triangle, dot_);\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y += size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = - P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n float cross = min(abs(P.x), abs(P.y));\\n cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.0;\\n float cross = abs(P.y);\\n cross = max(cross - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n diamond /= SQRT_2;\\n float c1 = max(diamond, s1);\\n float c2 = max(diamond, s2);\\n float c3 = max(diamond, s3);\\n float c4 = max(diamond, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 2.0;\\n float X = min(abs(P.x - P.y), abs(P.x + P.y));\\n X = max(X - v_linewidth/2.0, 0.0);\\n return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 2.0;\\n\\n float dx = 1.0 / SQRT_3;\\n float dy = SQRT_2 / SQRT_3;\\n\\n // Sideways distance from the three spokes.\\n float d0 = abs(P.x);\\n float d1 = abs(dot(P, vec2(dx, dy)));\\n float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n // Clip each spoke to semicircle.\\n d0 = max(d0, -P.y);\\n d1 = max(d1, dot(P, vec2(-dy, dx)));\\n d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n float Y = min(min(d0, d1), d2);\\n Y = max(Y - v_linewidth/2.0 + u_antialias/2.0, 0.0);\\n return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size/2.0;\\n\\n float dx = 1.0 / SQRT_3;\\n float dy = SQRT_2 / SQRT_3;\\n\\n // Sideways distance from the three spokes.\\n float d0 = abs(P.x);\\n float d1 = abs(dot(P, vec2(dx, dy)));\\n float d2 = abs(dot(P, vec2(dx, -dy)));\\n\\n // Clip each spoke to semicircle.\\n d0 = max(d0, -P.y);\\n d1 = max(d1, dot(P, vec2(-dy, dx)));\\n d2 = max(d2, dot(P, vec2(dy, dx)));\\n\\n float Y = min(min(d0, d1), d2);\\n Y = min(v_linewidth/2.0 - u_antialias/2.0 - Y, 0.0);\\n\\n return max(circle, Y);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker(vec2 P, float size)\\n{\\n vec2 size2 = vec2(size*0.5, size*0.2);\\n P = abs(P);\\n P = (P.y > P.x) ? P.yx : P.xy;\\n vec2 q = P - size2;\\n float k = max(q.y, q.x);\\n vec2 w = (k > 0.0) ? q : vec2(size2.y - P.x, -k);\\n return sign(k)*length(max(w, 0.0));\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n float actual_size = size*1.2;\\n float radius = 0.75*actual_size; // Radius of curvature of edges.\\n float offset = actual_size/2.0 + sqrt(radius*radius - actual_size*actual_size/4.0);\\n vec2 centerx = vec2(offset, 0.0);\\n vec2 centery = vec2(0.0, offset);\\n\\n float right = length(P - centerx);\\n float left = length(P + centerx);\\n float up = length(P - centery);\\n float down = length(P + centery);\\n float pin = radius - min(min(right, left), min(up, down));\\n\\n float circle = length(P) - actual_size*0.6;\\n return max(circle, pin);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker(vec2 P, float size)\\n{\\n float actual_size = size*1.2;\\n float radius = 1.2*actual_size; // Radius of curvature of edges.\\n\\n float angle = 2.0*PI / 3.0;\\n float c = cos(angle);\\n float s = sin(angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n // Half the length of straight triangle edge.\\n float half_edge = actual_size*SQRT_3/4.0;\\n // Distance from center of triangle to middle of straight edge.\\n float centre_middle_edge = 0.25*actual_size;\\n float offset = centre_middle_edge + sqrt(radius*radius - half_edge*half_edge);\\n // Centre of curvature.\\n vec2 center = vec2(0.0, offset);\\n\\n float dist0 = length(P - center);\\n P = rotation*P;\\n float dist1 = length(P - center);\\n P = rotation*P;\\n float dist2 = length(P - center);\\n float pin = radius - min(min(dist0, dist1), dist2);\\n\\n float circle = length(P) - actual_size / 2.0;\\n return max(circle, pin);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 line_color,\\n vec4 fill_color)\\n{\\n vec4 frag_color;\\n float t = min(linewidth/2.0 - antialias, 0.0); // Line half-width.\\n float signed_distance = distance;\\n float border_distance = abs(signed_distance) - t;\\n float alpha = border_distance/antialias;\\n alpha = exp(-alpha*alpha);\\n\\n // If line alpha is zero, it probably means no outline. To avoid a dark\\n // outline shining through due to antialiasing, we set the line color to the\\n // fill color.\\n float select = float(bool(line_color.a));\\n line_color.rgb = select*line_color.rgb + (1.0 - select)*fill_color.rgb;\\n // Similarly, if we want a transparent fill.\\n select = float(bool(fill_color.a));\\n fill_color.rgb = select*fill_color.rgb + (1.0 - select)*line_color.rgb;\\n\\n if (border_distance < 0.0)\\n frag_color = line_color;\\n else if (signed_distance < 0.0)\\n frag_color = mix(fill_color, line_color, sqrt(alpha));\\n else {\\n if (abs(signed_distance) < linewidth/2.0 + antialias)\\n frag_color = vec4(line_color.rgb, line_color.a*alpha);\\n else\\n discard;\\n }\\n return frag_color;\\n}\\n\\nvoid main()\\n{\\n float distance = marker(v_coords, v_size);\\n gl_FragColor = outline(\\n distance, v_linewidth, u_antialias, v_line_color, v_fill_color);\\n gl_FragColor.rgb *= gl_FragColor.a; // Premultiplied alpha.\\n}\\n\"},\n", " 419: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n if (a_show < 0.5) {\\n // Do not show this rect.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n v_size = vec2(a_width, a_height);\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n v_line_join = a_line_join;\\n\\n if (v_linewidth < 1.0) {\\n // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n v_line_color.a *= v_linewidth;\\n v_linewidth = 1.0;\\n }\\n\\n#ifdef HATCH\\n v_hatch_pattern = a_hatch_pattern;\\n v_hatch_scale = a_hatch_scale;\\n v_hatch_weight = a_hatch_weight;\\n v_hatch_color = a_hatch_color;\\n#endif\\n\\n vec2 enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used for\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n // Coordinates for hatching in unrotated frame of reference.\\n v_hatch_coords = pos - 0.5;\\n#endif\\n pos += 0.5; // Make up for Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n", " 420: function _(n,a,t,o,r){o();t.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float INVSQRT2 = 1.0/SQRT2;\\nconst float PI = 3.14159265358979323846;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\nfloat marker_distance(vec2 p, int line_join)\\n{\\n vec2 dist2 = abs(p) - v_size/2.0;\\n float dist = max(dist2.x, dist2.y);\\n\\n if (dist2.x > 0.0 && dist2.y > 0.0) {\\n // Outside of corner needs correct join, default is miter.\\n if (line_join == round_join)\\n dist = length(dist2);\\n else if (line_join == bevel_join) {\\n vec2 normal = vec2(INVSQRT2, INVSQRT2);\\n dist = dot(dist2, normal) + 0.5*v_linewidth*(1.0 - INVSQRT2);\\n }\\n }\\n\\n return dist;\\n}\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(float dist)\\n{\\n return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(float dist)\\n{\\n return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(float dist)\\n{\\n return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(vec4 color, float fraction)\\n{\\n color.a *= fraction;\\n color.rgb *= color.a;\\n return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(vec4 src, vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(vec2 xy)\\n{\\n return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(vec2 coords, int hatch_pattern)\\n{\\n float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n coords = coords / scale;\\n float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n // Default is to return fraction of zero, i.e. no pattern.\\n float dist = u_antialias;\\n\\n if (hatch_pattern == hatch_dot) {\\n const float dot_radius = 0.25;\\n dist = length(wrap(coords)) - dot_radius;\\n }\\n else if (hatch_pattern == hatch_ring) {\\n const float ring_radius = 0.25;\\n dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_line) {\\n dist = abs(wrap(coords.y)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_line) {\\n dist = abs(wrap(coords.x)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_cross) {\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_dash) {\\n // Dashes have square caps.\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.y)),\\n abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_dash) {\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.x)),\\n abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_spiral) {\\n vec2 wrap2 = wrap(coords);\\n float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n // Canvas spiral radius increases by scale*pi/15 each rotation.\\n const float dr = PI/15.0;\\n float radius = length(wrap2);\\n // At any angle, spiral lines are equally spaced dr apart.\\n // Find distance to nearest of these lines.\\n float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n dist = dr*(abs(frac - 0.5));\\n dist = min(dist, radius) - halfwidth; // Consider center point also.\\n }\\n else if (hatch_pattern == hatch_right_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_diagonal_cross) {\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_right_diagonal_dash) {\\n float across = coords.x + coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x - coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_dash) {\\n float across = coords.x - coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x + coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_wave) {\\n float wrapx = wrap(coords.x);\\n float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n dist = abs(wrapy) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_wave) {\\n float wrapy = wrap(coords.y);\\n float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n dist = abs(wrapx) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_criss_cross) {\\n float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n dist = min(plus, X) - halfwidth;\\n }\\n\\n return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n float dist = marker_distance(v_coords, line_join);\\n\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n\\n#ifdef HATCH\\n if (hatch_pattern > 0 && fill_frac > 0.0) {\\n float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n color = blend_colors(hatch_color, color);\\n }\\n#endif\\n\\n float line_frac = line_fraction(dist);\\n if (line_frac > 0.0) {\\n vec4 line_color = fractional_color(v_line_color, line_frac);\\n color = blend_colors(line_color, color);\\n }\\n\\n gl_FragColor = color;\\n}\\n\"},\n", " 421: function _(s,i,t,e,_){e();const h=s(422),l=s(22),a=s(46),n=s(423),o=s(424),r=-1e4;class p extends h.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const e=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),e.data_changed&&(e._set_data(),e.data_changed=!1);const _=this.glyph.visuals.line,h=n.cap_lookup[_.line_cap.value],l=n.join_lookup[_.line_join.value];if(this._is_dashed()){const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h,length_so_far:e._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset};this.regl_wrapper.dashed_line()(s)}else{const s={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:e._points,nsegments:e._nsegments,line_join:l,line_cap:h};this.regl_wrapper.solid_line()(s)}}_is_dashed(){return this._line_dash.length>0}_set_data(){const s=this.glyph.sx.length;this._nsegments=s-1,null==this._is_closed&&(this._is_closed=this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0])),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const i=this._points.get_sized_array(2*(s+2));for(let t=1;t-9e3&&i[2*e+4]>-9e3&&(t+=Math.sqrt((i[2*e+4]-i[2*e+2])**2+(i[2*e+5]-i[2*e+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),1==this._line_dash.length&&this._line_dash.push(this._line_dash[0]),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=p,p.__name__=\"LineGL\"},\n", " 422: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n", " 423: function _(a,o,i,n,l){n();const t=a(52);i.cap_lookup={butt:0,round:1,square:2},i.join_lookup={miter:0,round:1,bevel:2};const _={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};i.hatch_pattern_to_index=function(a){var o,i;return null!==(i=_[null!==(o=t.hatch_aliases[a])&&void 0!==o?o:a])&&void 0!==i?i:0}},\n", " 424: function _(r,t,a,e,s){e();const i=r(423),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return this.array.length}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;ethis.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n", " 439: function _(t,e,o,s,n){s();const i=t(508),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n", " 508: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n", " 441: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n", " 442: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(443),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()),this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n", " 443: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(444),r=t(43),x=(0,u.__importStar)(t(446));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n", " 444: function _(e,t,n,i,l){var s;i();const h=e(445);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n", " 445: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(439),_=e(43),p=(0,i.__importStar)(e(446)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n", " 446: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n", " 447: function _(t,e,n,o,c){var s;o();const u=t(438),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n", " 448: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(449),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n", " 449: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(450),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n", " 450: function _(n,t,e,o,r){var i;o();const a=n(439),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n", " 451: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(452),l=e(43),d=e(9),p=(0,o.__importStar)(e(446));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;ithis.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n", " 452: function _(n,t,e,s,o){s();const r=n(1),u=n(439),c=(0,r.__importDefault)(n(446));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n", " 453: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(445),c=e(43),a=e(22),d=(0,s.__importStar)(e(446));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.color.change,(()=>this.input_el.value=(0,a.color2hexrgb)(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=(0,c.input)({type:\"color\",class:d.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}i.ColorPickerView=h,h.__name__=\"ColorPickerView\";class p extends r.InputWidget{constructor(e){super(e)}}i.ColorPicker=p,l=p,p.__name__=\"ColorPicker\",l.prototype.default_view=h,l.define((({Color:e})=>({color:[e,\"#000000\"]})))},\n", " 454: function _(e,t,i,n,s){n();const a=e(1);var l;const o=(0,a.__importDefault)(e(455)),d=e(445),r=e(43),c=e(20),u=e(8),h=(0,a.__importStar)(e(446)),_=(0,a.__importDefault)(e(456));function p(e){const t=[];for(const i of e)if((0,u.isString)(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class m extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),_.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,r.input)({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,o.default)(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:p(this.model.disabled_dates),enable:p(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=m,m.__name__=\"DatePickerView\";class v extends d.InputWidget{constructor(e){super(e)}}i.DatePicker=v,l=v,v.__name__=\"DatePicker\",l.prototype.default_view=m,l.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[c.CalendarPosition,\"auto\"],inline:[e,!1]}}))},\n", " 455: function _(e,n,t,a,i){\n", " /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n", " /*! *****************************************************************************\n", " Copyright (c) Microsoft Corporation.\n", " \n", " Permission to use, copy, modify, and/or distribute this software for any\n", " purpose with or without fee is hereby granted.\n", " \n", " THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n", " REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n", " AND FITNESS. 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n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&ew.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function X(e,n){void 0===n&&(n=!0);var t=w.parseDate(e,void 0,n);if(w.config.minDate&&t&&M(t,w.config.minDate,void 0!==n?n:!w.minDateHasTime)<0||w.config.maxDate&&t&&M(t,w.config.maxDate,void 0!==n?n:!w.maxDateHasTime)>0)return!1;if(0===w.config.enable.length&&0===w.config.disable.length)return!0;if(void 0===t)return!1;for(var a=w.config.enable.length>0,i=a?w.config.enable:w.config.disable,o=0,r=void 0;o=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return 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d=[w.hourElement,w.minuteElement,w.secondElement,w.amPM].concat(w.pluginElements).filter((function(e){return e})),s=d.indexOf(n);if(-1!==s){var u=d[s+(e.shiftKey?-1:1)];e.preventDefault(),(u||w._input).focus()}}else!w.config.noCalendar&&w.daysContainer&&w.daysContainer.contains(n)&&e.shiftKey&&(e.preventDefault(),w._input.focus())}}if(void 0!==w.amPM&&n===w.amPM)switch(e.key){case w.l10n.amPM[0].charAt(0):case w.l10n.amPM[0].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[0],I(),be();break;case w.l10n.amPM[1].charAt(0):case w.l10n.amPM[1].charAt(0).toLowerCase():w.amPM.textContent=w.l10n.amPM[1],I(),be()}(t||V(n))&&pe(\"onKeyDown\",e)}function ae(e){if(1===w.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var n=e?e.dateObj.getTime():w.days.firstElementChild.dateObj.getTime(),t=w.parseDate(w.selectedDates[0],void 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l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 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w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void 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n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n", " 464: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(508),_=(0,a.__importStar)(t(465));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=(0,d.div)({class:_.clearfix,style:t}),this.el.appendChild(this.markup_el),\"failed\"!=this.provider.status&&\"loaded\"!=this.provider.status||(this._has_finished=!0)}has_math_disabled(){return this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return i0}}s.MarkupView=u,u.__name__=\"MarkupView\";class p extends l.Widget{constructor(t){super(t)}}s.Markup=p,n=p,p.__name__=\"Markup\",n.define((({Boolean:t,String:e,Dict:s})=>({text:[e,\"\"],style:[s(e),{}],disable_math:[t,!1]})))},\n", " 465: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n", " 466: function _(e,t,i,n,s){n();const o=e(1);var l;const r=e(438),d=e(251),_=e(43),u=e(8),c=(0,o.__importStar)(e(318)),h=(0,o.__importStar)(e(229)),m=h;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=(0,_.div)({class:[m.caret,m.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return(0,_.div)({class:m.divider});{const i=(0,u.isString)(e)?e:e[0],n=(0,_.div)(i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof 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a=e(43),o=e(508);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},t.readAsDataURL(e)}))}}i.FileInputView=d,d.__name__=\"FileInputView\";class r extends o.Widget{constructor(e){super(e)}}i.FileInput=r,n=r,r.__name__=\"FileInput\",n.prototype.default_view=d,n.define((({Boolean:e,String:l,Array:i,Or:t})=>({value:[t(l,i(l)),\"\"],mime_type:[t(l,i(l)),\"\"],filename:[t(l,i(l)),\"\"],accept:[l,\"\"],multiple:[e,!1]})))},\n", " 468: function _(e,t,i,s,n){s();const l=e(1);var o;const r=e(43),c=e(8),h=e(445),p=(0,l.__importStar)(e(446));class d extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,i;return(0,c.isString)(e)?t=i=e:[t,i]=e,(0,r.option)({value:t},i)}));this.input_el=(0,r.select)({multiple:!0,class:p.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of 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p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n", " 470: function _(e,s,t,n,r){var p;n();const u=e(443);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n", " 471: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(472)),a=e(43),u=e(8),c=e(210),d=(0,o.__importStar)(e(446)),_=(0,o.__importDefault)(e(473)),r=e(445);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,delete_button:l,placeholder:s,options:o,name:n,title:h}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h],(()=>this.render()))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:d.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button 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Apache Software License 2.0\n", " *\n", " * http://www.apache.org/licenses/LICENSE-2.0\n", " */\n", " e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return 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i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),a&&n(t,a),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=\"text\",oe=\"select-one\",ae=\"select-multiple\",ce=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function le(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n", " 475: function _(e,t,r,s,n){var a;s();const o=e(464),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n", " 476: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(449),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n", " 477: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(452),r=(0,s.__importStar)(e(446));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n", " 478: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(458),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n", " 479: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(445),r=(0,l.__importStar)(e(446));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n", " 480: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(458),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n", " 481: function _(e,t,i,n,s){var l;n();const o=e(474),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n", " 482: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(444),l=e(43),p=(0,o.__importStar)(e(446));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n", " 483: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(438),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n", " }, 436, {\"models/widgets/main\":436,\"models/widgets/index\":437,\"models/widgets/abstract_button\":438,\"models/widgets/control\":439,\"models/widgets/widget\":508,\"models/widgets/abstract_icon\":441,\"models/widgets/autocomplete_input\":442,\"models/widgets/text_input\":443,\"models/widgets/text_like_input\":444,\"models/widgets/input_widget\":445,\"styles/widgets/inputs.css\":446,\"models/widgets/button\":447,\"models/widgets/checkbox_button_group\":448,\"models/widgets/button_group\":449,\"models/widgets/oriented_control\":450,\"models/widgets/checkbox_group\":451,\"models/widgets/input_group\":452,\"models/widgets/color_picker\":453,\"models/widgets/date_picker\":454,\"styles/widgets/flatpickr.css\":456,\"models/widgets/date_range_slider\":457,\"models/widgets/abstract_slider\":458,\"styles/widgets/sliders.css\":460,\"styles/widgets/nouislider.css\":461,\"models/widgets/date_slider\":462,\"models/widgets/div\":463,\"models/widgets/markup\":464,\"styles/clearfix.css\":465,\"models/widgets/dropdown\":466,\"models/widgets/file_input\":467,\"models/widgets/multiselect\":468,\"models/widgets/paragraph\":469,\"models/widgets/password_input\":470,\"models/widgets/multichoice\":471,\"styles/widgets/choices.css\":473,\"models/widgets/numeric_input\":474,\"models/widgets/pretext\":475,\"models/widgets/radio_button_group\":476,\"models/widgets/radio_group\":477,\"models/widgets/range_slider\":478,\"models/widgets/selectbox\":479,\"models/widgets/slider\":480,\"models/widgets/spinner\":481,\"models/widgets/textarea_input\":482,\"models/widgets/toggle\":483}, {});});\n", "\n", " /* END bokeh-widgets.min.js */\n", " },\n", " \n", " function(Bokeh) {\n", " /* BEGIN bokeh-tables.min.js */\n", " /*!\n", " * Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors\n", " * All rights reserved.\n", " * \n", " * Redistribution and use in source and binary forms, with or without modification,\n", " * are permitted provided that the following conditions are met:\n", " * \n", " * Redistributions of source code must retain the above copyright notice,\n", " * this list of conditions and the following disclaimer.\n", " * \n", " * Redistributions in binary form must reproduce the above copyright notice,\n", " * this list of conditions and the following disclaimer in the documentation\n", " * and/or other materials provided with the distribution.\n", " * \n", " * Neither the name of Anaconda nor the names of any contributors\n", " * may be used to endorse or promote products derived from this software\n", " * without specific prior written permission.\n", " * \n", " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", " * THE POSSIBILITY OF SUCH DAMAGE.\n", " */\n", " (function(root, factory) {\n", " factory(root[\"Bokeh\"], \"2.4.0\");\n", " })(this, function(Bokeh, version) {\n", " let define;\n", " return (function(modules, entry, aliases, externals) {\n", " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", " if (bokeh != null) {\n", " return bokeh.register_plugin(modules, entry, aliases);\n", " } else {\n", " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", " }\n", " })\n", " ({\n", " 484: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(485));o.Tables=_;(0,t(7).register_models)(_)},\n", " 485: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(486),r),(0,o.__exportStar)(g(489),r),t(\"DataTable\",g(492).DataTable),t(\"TableColumn\",g(510).TableColumn),t(\"TableWidget\",g(509).TableWidget);var n=g(512);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(513);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n", " 486: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(487),v=(0,r.__importStar)(e(488));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends w{_createInput(){return(0,E.input)({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=k,k.__name__=\"CheckboxEditorView\";class z extends g{}i.CheckboxEditor=z,o=z,z.__name__=\"CheckboxEditor\",o.prototype.default_view=k;class P extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=P,P.__name__=\"IntEditorView\";class T extends g{}i.IntEditor=T,p=T,T.__name__=\"IntEditor\",p.prototype.default_view=P,p.define((({Int:e})=>({step:[e,1]})));class K extends w{_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=K,K.__name__=\"NumberEditorView\";class A extends g{}i.NumberEditor=A,_=A,A.__name__=\"NumberEditor\",_.prototype.default_view=K,_.define((({Number:e})=>({step:[e,.01]})));class M extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.TimeEditorView=M,M.__name__=\"TimeEditorView\";class O extends g{}i.TimeEditor=O,c=O,O.__name__=\"TimeEditor\",c.prototype.default_view=M;class F extends 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