opencharts/medium-tp-mean.ipynb

{
    "cells": [
        {
            "cell_type": "markdown",
            "id": "35b8fe73",
            "metadata": {
                "tags": [
                    "open_data"
                ]
            },
            "source": [
                "<div class=\"output_png output_subarea output_execute_result\">\n",
                "<img 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\" width=\"500px\"/>\n",
                "</div>\n",
                "\n",
                "# \tEnsemble mean for total precipitation"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "7ed116e0",
            "metadata": {},
            "source": [
                "This notebook will provide you guidance how to explore and plot ECMWF open dataset to produce the map from the ECMWF open charts web product.  \n",
                "The original product can be found on this link: https://charts.ecmwf.int/products/medium-tp-mean  \n"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "9a83c42d-b94c-410b-8d06-c4e7f515ccb9",
            "metadata": {},
            "source": [
                "<div class=\"output_png output_subarea output_execute_result\">\n",
                "<center>\n",
                "<img 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XQzo0ZrMbi3x7S3F6bCd+mFNpAga3V46tMli/vItZLw9lUlXjyZYXotNU601EAgobXKau/t12ysq2pRHPD6nGTlOg8kDB/DrjO+57JLzlNde3WW2vKJI6k9fQu2rJhwZRzveuz1VPCpk+drmm4iXQU9TkIkcn8nqAupN0NsgfCqyahuxzS6nVVRzdu7uQ0VVzunPxz9EgWA4WwrH06XVhyzbeCsAUp7eWrAJyFBAM8B+aIoEMAe4EugAdAVKgVYcN2CpcbSidKzgCrn91VqJbYckcL2AzgLxpDxkoR55zx8YgWGAotBy7jQ80bEUde5tXSfE4detHL777zpVhRBgGDRLiOXssWewYcMOvvp5CS0H3IzXF8BmU8nJzjS6dOvROHzYyMhzzjknAsAfMISUIFWFl9/6nv0Vpicjo3lYVFQkAOtWzmPomEtOa59uroCD5h/hMgTB8RCY20B/DWQapw4eNk1Sc9h0G3T/HEwPRNdCczdM2AiKH4xoCGaBcknodfyD1r8IbVFzObzUHq4ZB94AhNlhV43g3h9NZu1Op6V3G/FjdtIQkYR4TiIX6pilGtR+DIufgnoPGG4o34wM7ESpVeDxR5FjuyPCo7H9vgDnvDnED+tP+RPP454+Bx5/HEXqGCldGdUtXxnTtpKU6GSMgIqiKNxy1ThGd1dIz97C5BYBUBWKxt3IyIsXsOnq4dAq6fBAEhL+MDapKAgpWXXBdfT85FXWjZ2ENzYBbBqVl8E5H0NQV4xt855zqDYbmJIVM55DGiZRUWH/X2AALNe/gz079lJaUcXgM/sgGz2oimIJ34BOSlIsw8/oxJqNhazaWs2Aft9Rcfs+/v3VXF549ydeffwqRkzszpJ1Lm6f0oWVfeMw+4GKxLAJFlcncG5tMS4tiDTEIZYthIBgkFb5WbTKa87KtVvp3CqZdm1aEBbuANM8yutsmCZquIO1K7cxa8F6rrxgCCnNk9AbLeFsqArr1uwkMz2R+ATLi/N3yOP2YbdpaOEO5s9bTkGXNthOw/o/ljRrsCrBYACbzX7ci1wuFx9//DFwdBzkr4D3ADRN45JLJokO7TsqN990o2/btk2Olet2iwvHNGILaVZCU9i3o4ipM5fTNr85PTrng9v3p2IcAkCCqmkM69+R4tIaDpbXWuCa0DBUVRHUNzD0jN6RC5Z/qcfFzDJWRVyi+r0qZQc26G+8/YG8995YW1Rcc1FkBoS9mYFUVcuEVU8GSDvBdyFgmu1dE/ELiDAIdFWQjtB3R/peTcAG4jWBrdZEcdiIcF6K37GOhqp3WFK2Ecg5+p7/RfL5Y9h94ExaZ09lS+F4hDBPqQQ4BRTYYKgJXU24QzPBUIB1WOC/pUDqMXcdRyo0Wf2AUiWxHZQWNtKQCFUgHaFoiUti3CMw+1rzo7UCbb5ETxeWa/A4JEwDqShkrZyPYbOxt2CA9cURSp0IzXkwNO+ntRVCsf+TkRUWMGnbModvvnyU6657EbsCV140hA++W6NrEfHKDTfcQOGePTxw//2Eh4Upew/W8cW0pfxnyu/opqZec+2NOJ3OQ3tVO8G+PpJMA675Ahpua+rrEd2uBrkSgr3BeTWYZ0PgMo56B6iccAmaaeC90frbWwP+peAeeTTw89Cs/DMOFcurBrAULvLDxedZU9+kBy1bCj8nSIzLoXaVDama8KyEFToMsSMXfQG/3BFaRIoFzutyMSz7N2bhDygZLmwOF5k/fkbgg48ouecB9vgC8MIrsGMH4pXXUfYsw1g+kpu7N5ISU43pt6EqgJBcd+kwC9Tlt2Iefp9BRotkmsXXw+5SSwE4xaKSQoBQWTP+CjpO/Yi1F99EUDeR7SXLF0KsYROBQJCwEBZE6kYIf/IPzfH/IEkpEXYblQfLKSouo0vHViGU6BFk19izo5wenfKY+sG/OP/Gl7n67vd4/8t5VFY3cLCygZ9+XUNWRgq9WjXjk7NXcMe0jvxSn4IxUqCNlrz/WTZpP3l58IKN4NYIBXSP7AhSQreC9rgbGlmwaA0lpRV07dQKZ5gzJGOaMGCg2TSqaxuprKnnx2mL2HuggvPH9GXG3LXsKSojOSmW80f3JjYhBhnQ/7RjQNcNtOgIcrtexUVn9+PBW87FNE2iI8JPi78cSxpA+y692bJ+GR0L+p/wwiZE6V8V+seSaZp07NRRWbBwoe2Tjz9uuPvuu8LLK+u0Lz6+D5thsq+wmC9/XMK5o3px353ngy8I9W5s2p8wERQLlLFs7XYM3aR1fioHDlaBph4xDgFSx56Y4fGKcKIMb/h3N1jc/YUX5zBn7iIzPwlzR/pjKsUvEFj7IeRfZQXX/yxkOWjdYnvIxNwtMHqJw65owwRVgY3fQ/PeEJlifVcODi0ASoDM5LfxehdQU98bw9jOaSHj/wdJSoWa+jwSY7eTGLuViprWCOSxW+gQRQgY6oSBBlygw1oFbIfWq44V+28aUwiifzKyg1ouERL89yvQ+STXNsEI0kP+P584bvPCNJGaStKOjTjra9nftS+mzWa5/kNrxgISCUiBbf5IZKPdCjHI47+JJpTuzp0HSE6MJTIq3Aq4n4RUVUHWNPL2s9eDEKxctZn+nZvZO7XJctx57bSyIWOviino2tXx2qsvKzfddLNct269GDSwn2fp8uX28eeeKzRNY+PqRbTq2ANFPfU61SUUVoGIPQaz1Ai2e6yQCzbw9wT7fLDNh+B4sG8BUQuBUSB7Y83pcfQNGRqu9AA+kD5rC8kjt7PG38sCMIEAUAr23RC7E0Qh9BsLLs3KRmgK20oJJgpSQkmHLqR9sYK4fbuobpWH+Bzk6t/B5Qe1GdTvh7M/RsnIRf3Fjdm2Ay22ryBs9yp27inD/eQr0LGD1fCI4bBhA7z4CqbTi80xljh8oEoUTQVpYhrGIV6qB3WEEFYYtaqciU+9z4pBrWmc/wOiWw9LVp+M50qJPzKa3b2Hkr94Btv8HoygoPZGqH01zMYRCvk/xbv/N0ioKrrXR1FxGZFRLmKTEjA93kOeLCEE+AK0zElDSYhm6he/cvHZ/Xjk/kvZuHobMxeso3VeOnUNHj7+5lcuv+BM8lvb+GDiSu79pgOfNzTHPFcgJsBbP+TQa3klQ3sdQK93oClHC9Em71xYmJORo8+gaHcRM+YsoVV+FvktMtFUBVVRwDCIj41i8nln8P30FezaW8Lgvu1569NZjBjYGX9Ap1dBPrFx0RD888IfLL6Ax8eqX57hzU9m03vsvUz/5D7sYY6/FOtVALJatKVw+/qTXvhPL56mFymlVCddemnUSy+/qsxauC14waSn8Nk0tuw6KH+Zv1H/Ze5apEMjEDwCLSbE4Z18AjJNE9UVxo61O1m+ZidtWqRjUzTKK+tkQ0UNUiJRFYQipEQSaDR9DV4RcNib+gUNbr955QWD1UgbYnXNftPWNQ/qQgG608Q9HO4QYAOlSKKUKMhmwrKadEKANMOKQ//2OtRXWtcqOmq1n9So3+nU8j8cKGvP/tICDGN+6MYbsdBu/3cU1J3s2j+U3IzZaKrvhMJfE9DXBucGYXTAwu05aXKiSCxzfBHwDtaEnCgYbZEIYs1fHZCJJfz9WPPcpD8c+XdIsOijFegp0DZIqwOhTAER6oe0K0RUlhG/dztlLdvjiU1ESPOQ8LceHvqdA8t98ZTUhIFmHhcLYUqJUAS11XVMvuNNNmzbCy6nFWs+BQkhkIaB1HW6dWnF+LGDRF2jl4WzPk/66rWrHHfddp0xa+aMxrlzf2PhwvlUVFWHt2vXXouNtQB/O7etITu37Wnt3W82QGPbYz4MgvPJEOYiBjBCb6oN6GmgTINABQQU0N4G+2iwPwd4+GMoSwC/A/cAnwFnA+cDFwDjQDkX7M9j4TO8p+zuH8mA8AWQ+wCMngZPClgwHkqeg6v6WJfYjtiyhgRTCIQw8NsjEUGDSLUU9gCrvaBcCYHh4LHQoUq1n5hVfvImdqDD3ZMoOW8y69r0xt2tD+RkWw0aEtaugyuvRl08A6O+J/cNqKRdahWmR+AOBJm7aAPzlm7B7fFDZDjfzVjO1FkrCAQCSOx0Cd9CdKv28Mob0FB/aqsuBFKtatEGX1Q80UEvKArSX4vpUsXC4pOnaf83ksQKae3ac5Dq6no69+h0lPA/igTg8dEyN5UhfTtgYtK2ZQZ33XA2Zw0p4KJzBvDMg5PJz0kCn06S5ufDy1ZxfeFujPcFNodJuXSyuzSCgBHiAydI51WEQPr8ZKQncc74MzEMkx+nL6DoYLm13A2T5MRoBgztTud2Wbz15FUADOrdjsJ9pSTERZCXlczfCRk2ZRClJMXx1H0X88gtY0lOjPvLXp1DMxoRFYu7ofYvduuvkxACwzC44IILlEWLfret2lIcHDj8geDISU+L9dsOiLVb9hvC6TgKb2EaJkYw9LZOwNsUTQWvn1YdW/DhCzfw1bSFLFx70Bef1spdMOAB36e/bHPX1BmG4bCzaPkuOfScGyPLyisjOnfq1NQtPG6P6NI6WdgikqRROIfEYS1h7RbE8hXWs/9CHEcGAFnDIRAAWCGBX0yc74FSnYpzfiVKlZdEz1YKYt/DqyWzbPONuD3DgUeAzcBEYDcn9GOHyGY7NQbx75I/GMXm3efRtc37KEI/bmqgC2grob9uqSwKoCBxogCVCJ7FUgu2n/xhTe+7ST9QQFieu6ZGrWvEMX836RQK0BfsdhOtSKJUSrRwE1Its1f1Bcha/hs1adnUZLSwPALHAdAZAQH1YDMlQoXj7kAhLF4S6WLW/PWs2VhoueX/TBiryesmAcOkS+dWnHf+SKQR5MHrh6u/z/oyJqt5uvnKK6/IpUuXMG/ePFwuF36/B1dk7GnFJkwTHpwC3ouOsf6DINeAvxWHMyew0imlBmYWkAAyAoKdIDAQ9H0hReBbEEekmgo/KFtBKwWZD/QDumNBPfqD2ROMveAYDrZ/Wdfi5ZRpXU34WBbBJTtg1wsw7Wa4cxC0TLS87EfyjqY/G32AH9TQoAJmHErAh/B6kMwAeRYEf0G1J6KEOYlf8zzNur/L/rvHsPacW6mPioXduyygQWQEjpU+Yn4SaDc8BSuXQ24ueOIYFFOCM8rH7v3VjJv0BIMveAybphCREA0NHoYP7IwQkt17S3B74I7Lz6fC6IfSZTBSOxSQPukUNI1pd0w69ohwmhXtgudegDsv4YLv+9Pg1U4o1P7bSEqJcNjZt/sA+4pKGDy4B2aj+4QYFiXkCWiTn0Hf7q1R3D7rWilDRqJEBoPouqDOa8ej6TwzsyWvlOYRXqATQME+zOTGmi6c/f4gttREEWxKHz7OnDUp06YvSPt2LTjnrIHsKjzA3HnLqa1rsHhFbSOTzhtERmo8t14+igEjelJYVE67VpmExUdb+IG/OUeK3cbcucvp3aODlSHwFzEFStOgCnqfyaols/9Gt/46qaqKaZp06NCeBQsW2oKGoowZM8q8+cYb1PJaXafB4XaEa9ZmUxWWrtnOgy98ydpNu5GaerQ1JQTBgM6+ogqKS6rwlNcQmRrPOWcNCqzZWixGjT0/Ytq075zfTl8aMfji5+UH3+4pn7G8rG7Zmm22Af37aV0LCggEAgSDQVleUarERIWpMQlOU9tVIsNGno2IjUS+/75VAKRpoZ0OKYDfj2whCGwchVn8u2XBugy0L8FcvQef93tMuRJz7/VkfT6Y8NIdrIi+mpLz22HLNRGHKtvsxoqVTwPiT/5YO2j54Ij7K2/m9KnR04x9JX1pmT0NKZWjlAC7gIk2uMiwhH+Tl1dFYuFWD2BZ/6GYB3BKzh+0LmmS7X/YUSZ/1I1CaYF6D4HvMRVbrMCxV6JfJ9DPUFClSeuF06hPzaSkbddDiH/8fqu2gw54rcJBKe97yfrCzbVpu0lJPqYQkBCgqRi6QW2DmwY9KL+dvkz6/EHKK+rQ690oNvVwTtyphLQirLUmBD6PXxbtLublD3/lsXfnBhat2W8mJsSqnroysWv7JnxeN7oeZNXiOXQuGICmnRowu70Cak6wPmSTJyVEWi3YF9VhW3cA+zYO4wCC1o+ZCYEBoH8N8kqsOgsBkE4wzwEzBcwqE3QwA9Z3+KzfRgr4h4IRBrZbwD4Z1IUgGjmhV+AQYFGB+AjLC+oNWv2W/DHt8NC4nIAtZIsV6xxcH6Bu9deErW2JEM+gqilAkOQOrcke9h411/zEtqtvpvHbH2DhAquRHt2hphZRdgB/szBaFvnJNiJRNBu29RU49Hgc4VEQCJKXk8rXb93Omf064Ap3gqoQCOpEp8eza28Zr380HYcNxp87hvBtDyNsPRHhUfxBsSwutooDHTUJljEirphM6atvk71+Ga7URCg5gOcShQtm9MQwlP+rSOFpU1NKW1VJOXv2F9OlY/7pBzilRIbSrQ1TUl1dT1lpNY3uIMKl83NhGh0+H0qbV8fxkicf5SFwd9fAhEC0grwD5k5IpOPXZ3LbrK6UuZ2YpgDl+HxIUQTSlEgpOWNQd7p3bsOCxetYs3YzXp8fQ9ctWaQbSN2weEF9Iz6PF78/+LdhGEZAx+PzkxAb9bcsvEMRt5i4RKqryvm/iikLYRXp2bJlC9u3b1OvvvpqJkw4l9FjF6kPPfepefuNZ2LW1hOXFk9dg4fXPprB9sISPnnpJlwuB2ZIECs2DU+Dhwdf+IopvyyV547uZzZ4hL61sEQLeN3qmDFjmTRpEjNmzGDt2jXarbfelhQeHs706dPloEGDRDAYxG6389XX3+juqr2id49LmTFzjlkb319kffWrmvDo7VTc8ARiyhTk5MmW5nXa4QDLkpPBOg75SKWJCFNBmY9N3I0hG0htdg3FlfX4P9uFEjkMef6rBCd1RPtYYhQChCHJxsphO7r5Q3TEawxcCFSC/QegAQJ1HOYr/5BhIKVKVW0rYqP20CxuE+XV7Q7VB0gE8oAE87D1byEFFOyyCqvinwSuAZqqVJ08GCz9gDvkLmxypjSNxQDXYh3XZoOqgXaMLIGwh+LNIYFl5ki8T+ihD1Rw+8j5/iO8ySns72z5jKXbbblQbr0d9mzGddVHxK/NYEBsEfcP30HL82rAr4LHEv5SglAVTF2n0Rvgg09myBWbSo3isjojaEpycluoPy3YZq7auEebPKG/UlFdT8ucNBKSYo//HqxAtfQHdXbuOiB2769g1tK9nk++nuGMjoxUMjPT7W+8cT+TJk0CYPnCGWxcOY/UjFz279lO5+6DMAwd9SQYAGnCDd9A3cUcd9uLIz0opolZuAl955kIRxr2Dms4BK5oule3hG5kP+Ag2C4B81HQO4JIAtejCtE3O4hqD6pHHIqAEfqtm+B2gf8Mq2Kl7TWgGmQf0K8HM4nDnp0jyQQ15FxRzRPrVEeGATBDRQdeeAPj7YeoifDjCDhw2Asx8CF0F8VRvVADF0MfCU4JnXpAfDxCl8icXPj1V9hRBP0yWFG2jFGRNdRHSfp3S6BN7rukMBRkOlKVbN6xn7b5GcTHRkLQsOL+3gD9u7fh31/NZd7izdx8w9n0bhfNv2Y6mbcNaBUaiK5b4OWLLoLnn4du3Q6Pw+uFL75AJiVDizyWd+xE/qgB7L/kGnw97CxYEM/MwmRGtSg54Tr4byChqQQ9PvbsKyE2NprEtOQTu/6PQ6aUqGF2tq3bxSMvfcOmnUX06NKGZ28dQHVxS/Z3DUMZbSJRrO12BMxISvDnqoinJO8tyuLDf2fyfO8NTO5UiEuRoEgL/HNkfwGhKEh/kKjoCMaeM5h9O/bx8+xFdGjTguzsNDRVRfiDjBveg1kL1rF4peXhnDi6N2npiUfn3SriMN+WHNe4tMCRdn6ft4yuHVricNj/svUPR3FZQVpmHgf27SQ9M/8vN/hXqcm1Mnz4cEpKSomMjERKyZOPP6RNPP989fHn3jdvu3KU8tIz1zBiYGcaD3xnqfs+P0gO5UmagSCu9GZ0ap1OvX+A7/yLLvX6TFf0OWePU6dOncrLL79Mp06dME2Tzp27sGDBgsMTIE3UELbA7w9qKUnNZKQrjKSkZDJdVZglkdirgoj8TGRFOQSDloA4jRKUmCY47FBSinADiiu0CAVqhIfkpK5EuW6j8GAVew/MAz4CXkXWlMHH4+CCL9En98T+vYmyJxV/fSVSvgI8TJMi4HCAaQfFgIDnsDtX1AKRELgG2GMVRJFVQOCvVwQ8HgX1MAqLzqR93hc0eFLx+uJQkOQLQZ5hiYqm2jwSiQ2IZpeEH4VkNPA0Vlk+yYnywRRFYouSGDnCqvYXhmVBhgCWChJzteDsLcVc3b2Qd2fmMq80keoL7Pg6qRAwwK7Cps3w9rswcCBi7BjUB+5m9yuvYea2gPuqrdzrjz6CVavQ9uxGX7iUURlv8e4Dg4iJqAOfHcNrR8GkKUIgFAVdVfh5+krueeYr4pIzvZdNnmTPy8t3tG/fnvj4eC6//HL59hc/yJc/nCl9Xo+44+pxjB9RIJunJ+L1+kSEKwy73SYVoeANCuoCkbUvvvOT8v20WS5FVZSRw4e5fvrxewoKCoiMtIolGSFQWY9+I6DfCHZvW8+GtUuYNe1jsvPakde6C5qmoWq2P3gEJHCwCqsS4vF0fwFCDylPdUWYP3dBaT8W+dyd8BXgUQm5cSy+pUNWM9h9o0G5R+J0qihugfAKdIeB2jwJ8c05BCUgTTS7Qijjkkg7zNwFIz4AuwIBG/g7Y+kXe8FxNRg3QHAEhys5NpEKvkBITqp/3JK6DvVeqwKlKqDWL9FiAtj2CwJLVyGVOpxEYYgg/kAjiGHA66C4UEUJhj3FGmCnDqhF4Hrfi2dcGHp0OLKmCkwTe6sYfvu4GNVn5+n7LmHR8q2UV7tpnqcg/EG6dczn3qe/5GBpDVktmwOwYsU2psxYSnFJFQ+++BXtWjanoGdvPsxZwdn/iWHdeUBsNWRmWQOZP9/6XVdn8R9dh8cfh61bYeZMqxKhlOwSkXQpXMO6htE0/iuSc2/vw5pLZ9M6vv6/MwtACKSEbbv3U9/oYdCIvph1jSh/AmulqgK8Ptq2bs63/7kPHBq33fUel935Dt1Gd8IWIQkGBIoWkuVHrvWQ7JWGQPYVmH0lN37amdf/ncs7o9cyoHkJMqgdF5YsQqnB0usns3kKmbkZrFq1mRm/LqV7p1YkJMbTsUMOrjA7NrvG8jW72Ly9iITYSBxhdqszClRW1lFRWU9KUizRUeEnNMN1nx+v10tck/X/TygAQgg6FfRn5g8fhxSA/31PgJSSmpoanE7noT4NHDiQ776byoN3XW/ec+N5ENQVIQR6bSOKIo4EEyIcdnS3l2cf/Ui+9p9f9VtuuUUbOfaiOLDKFZ999tmcffbZRz2vqfiQqiogFHTTxK6CaQSFLjWfoto0b0C1jWxXKrdHXMuuVzbjnzSSylfeQ0z7ATl+wp/zAhTvRZn0CLZ1bdHLfESH7SO302yKGwvYsOGRkLu1DLgRHFVIWyR49sC34+GsfxMY0xNRFoPy5bUY9dcC3YDzADB1EKr1+1BmSgDsbwPREBgBzgVgVIMwwDjdwi5/gvzBSLYWjqdD/ies3nwthuFkA/CVAolArAk2KVFQcJh+YuRsAQoKBzBZCIzCmoTjz6eZIvCNEpCF5U7wcUgYCNOKEuGDdMVHv/wD9Mus4Klpbbh/Rzu0TmDIEADnl18Qb72B3L6N2A0rYN4cqm++BeG0I++8E8LDYfUalE8+QU9qSVbfcUweEk+Mw0ugXkWaARwOzXrvUmIEdBowePfNWfoTr30r7rzrdvnww4+GN/VbSkkwGOTDDz8Ujz32mPjpp2lUVlbKRQsXm7Mf/tbQgwalZaW2MKfDjIuP02Pj4s2YqGi10d0YW1VRzqOPPMiNN950eB5M85DgbyrEZYZyk3dtW8eFV/4LV0Q0+3dvYcHMb9H1IOlZLchv3RXN7kBRFGx2B4oi0Ju42rHb3QaiDzi3gTcPiE5DXL0Hm56BfyjoPrB/oRDogOXKD+EuTAxK921j8YZ9RLkcDDxjIPUNDaxavJIWuS3IzsqibN9eiouLKSgooHDnTmLj4nGlxrC/cD+EtcQUIQkusUCFyRDwg7oBGHF4iTRZclouvL4Kwn6Be4eCM8waQl0IR/DGLHhgik5Cjh9/BYR3KKVV6Qpcb7vZV11KqT0MT8CJS1ER9kZ8gSEIcpAxAqRyOBxsSmQUBNbZSVwNNf2z8WkHUd2V+Ed2pFPRi/wwsIjMzjFs31XM5p1FpCXFEh4VjgZ88cYtJMRHgs/PgZJKrvzX22zeUUROZjJfvH4rbp+f7Zv38MRLX3DtBUE+f7WOtb98LBt//ELQvjnodVBZBXfdDbW11hxdfz28+abFh0LZKvKFF1h3xWU033kFe597k8AIJ7/tT6F1bP1/XShAAmgqu3bs5cDBMkaMPgOjzn3qAnOCwy56UxAIWgtCFUHUMBvL5q9j7qIN3HjhEC65Np6Nb+1jmpGJMZojC4seTSHl0TAE6iWSXXsiOX9qDz7uuIphHYowfLYTlqo4hA/wByjo2oaOvlx++30VYY4iOrbLJyczGSXMgdcXYNPWIgK6gcNuw1vrprqmjm9nrKC8spaE2EiapyYw+swCHEeg+5tk3LzZi+nasfXftv7hGD+rZnOgKCrBgA+b3Xmie/4yBXUorbYM4cToozV0r9fHt99OkZddfpkcP368ec0112g9e3TH5XLRt08vMXrC5croyY8b37x9m5KUGIvT5UAGQhIsVBnLZ9N48e3v5dR5e927d20zomISmsxJoWnaIYEvhKU4CCFQQiWIvT74ZQeU1MF1PaFVfg6/zZ0ni0sqpaoKs6Zek+/d51IWro7kiXfssmGhG/8w/fS3UpMbq6AnFHTDPqeGNh9PIWjTWB1/LcZom+Uy3ydBS4CEb6HHdojywbxnYOd0+GIEuNKRF3yMWnAN8vcPMPW+R83vsejrQBNj9oLjc8sCCpwcN/i3ye1LYMe+0XTM/4x12y+lylT5WSrU2qFAwqigIBzQcZAuMxHCQYo4i2IzH5NjVfNjKB2rOnCFVUhGlIVS1BQO537rEAgoyMgA/5nWmvu1dnCeiVHfgFRt4NAgGEQWFODIyoCff8aTkQ2DzkCOHQs9e8Gjj0BlBUQLiO8ve7RMENGiGo/ikD9O/5VfF64XN102SuZ3aCE3rd4s9hbV8Pz7002faefHaVOVQYOGCNM0aSqWJYTAZrNhGAZpaWlcd931hAaqcoS243G71bLyMnXXrl3UVFczYMBAkpKtgwqMUAVLRVGO6xZtYkB+vw+bzYGUJs1z29A8tw0AB/btYtGCnwh6vURGx5LXtjOxcaloOmgBDd1+TCUxG/geBOcz4FwP/hwNYU9HlhngUzCTBJr7mNdlgHBLoqKjCfi9fDntO/r17cMP332PYRqsWrGCyy+/nBXLl9O8eQazZs1k3ty5xMTGc9cNk/n6sy+x5z2C3mCgCA2pgOoG224wu4JxZeg5Ta4kBWgAZQeIofDYFtjxPrxxKWyrNHh9sZ8N603q4oPkXruNaP827F4v1WSwc+kF+BuWQ+Pz4HODOhjF7sAMfgtyNjAG6hVMTUE6rWJbIiiQ0RLfIA9D6xvZ8/FPLDp3AgbN4DfJyBZJJKVWQ2U9w4cVMHvWCj6eMp/ishp6dclncN/2OMMcmLpBZlYyMz6+n6vueZsJI3sR6Qrjo2/nMXXGcp646wKEuY3Prk/lwxZnBD556Bu1QoQrjXW/Kqh18MWHkJN3xLwbRxshrVqhL15K/X23Ejt8ILX7Y2WXzy4SUiQg/os0AIlE2OwU7yumcM8BzhzQHek+fpndo0hITFOhptGJohjsrI3im73NkRIGJpfT11tGz6FduWLtNn5ZtI1Lz93Bl5eX8a9P/bz7dR7BCwSmIo6faSwADQxdoGZLygc6eXBxWxIjfXTJrMT020568JeiKMigjqqqDB/Rn6qSCuYtXEV6WhLturZh1bpCOrfLRkpJvTfAf76YRfHBav51w1jis1NZOGsF/3r6M9rmp9GqTRYYZkgBlXjr6jD0INFR4RwqQf433qc49jTAA/t2Urx/Jz36jfzLjR6P/Do89xs89J116NWT4+DsfEmEQ1J0oFi++/bb8sfvv9Yzm6eK3YWFtt17DpoDBw2Vzz3/nJrXogURES7/l59/7Hv2yQcjLxg3ULnuhrFEhXoeCOr4vAEeev5zuXaP33fppAvlzp2F4T16dKdr1wISEhJwOp3HTYcK6GDX4IF/w5OVgEPyTCbcfbafSy671X/Z8DR18/ZCqkU+Dz94rwawa+dSednEu1g97DIR+/QVBLFi3ao4DJY+skZKE+Zf1YOoPi9ZyxcQXV/E9riJNEyLx+YzkAclMkFBV9YgYluBPQwCqqXhhSuw/BPknNsgMgoUB/S7DTHvTUT9HEyS/jCuP1DT0P+X3H9CGKQkriXSdYAde8dY6YFSkCKgtcOK1/oklOgvsNe8izbqFWjKG2zQ7ZhScFycrAD6AmNBWS3R7BL9QQUzl8Mpfw3gnGJwv3cbD9ywlE8/b8/k2B7IoaVw1mXIbl2sg1guvgRbpIv8u2+gJj6Zg9mtQy7sUKwV4Kpb4YM3QdGJcrmM+ga3eskF4xqra+rV6bPmh/Xt27OxRXaOPn/hUldVdbX69FNPiOuvv16AJaxPZMFIKQ8fSnXE3/BH4S6lxDCMEwr9I1oFBIW7NtJYW0Pbzr1R1aZypTL0Tg7f73bXs2nNIsoOHuDVBZID56dTntMGT5yVNiaFwLDZMVUrvm9/A+RiwLDClurFoCwLKZix1vwLO8j90Ho+bNkGGzduZ86cX5g8eTIvvvgiTz75JN999x1paWk0z8xk3dq19OrVi3feeYes7BxEoIYf1xv8KG+ACh0pNMwGEIlg3Ap6Gw6d6HfUsqiAmIclMiOA944g6m/g+EwnIreQqBZbCY+uI2gPpzSrI6W5na06Bd8B33kRhXcjl78eqkrUFoetPU7HTDz+rwgGHdBhBmp4OvKObphju1ohvxWrECt/Rc4NY6SxBFerSWwxB9MmrZzH+q0myVVD0f46Pv9+Pt075zN+RE+Ij2TV3LW88/lsrrt4GF265iMDQUxDorkcjL3kSabNXkmEy8mNl41k6eod5t5SrzSkEHnZmcqos4YRxGB69TVs7BtLbXeslyEAh7B4xNGLzEpL1BQ6vTmXnQ+eJ8OFLjb/9hKJCVH/FWEAyzJTqa6oYePmnbTMzwqdwqefOHVVglRAOP38sD6by+cVIBRBQ4JKsJtihQQXQNe6Kj46bydfvv4s+0uq+fT12zANHcVhcvvUzrySnYc6TGIY4uTVJ4Og2ST6L4Lz9hzgpcHrSYt2I3XltPL4ZSgOK1xONq3ewt79xXgDgKKxan0hPr+fIf27Mnp4L1AEutePFuFk47qd7Cg8yIgzuhIe4bQEi13jt9+W0Ll9S8v9j7CQtPLPeQG+XWa9/AkTJvwRaZWWkcuKRTMPdf6fyP+XEmasg4eWgfM9OOiGS5+T/JIm5NP9Vxn5nc4IXHfxcHXT+n87qK2B6Ch2rtwuzpr8JP16d5dXXnWtcfc99znOGn22UdAmseKNV19OGjfhEfn567eI/cUV7NhTQuG+UuauKfV//eXn5oyZs8Lfe/vV4NdfRtPgMZR/f/CBGDNmjKLrOpp2eMimtIR/ZT1sTwC1P2h5ggfeCjD4gJOs1AiloqpGKIqNlJQ0TNOkrq6O7Nxe4po7r2fb+jU8UFSEkpGBTYAIBqnRNGKPmbM+pslKn4eUXZtIWb+CXX2HsSN7NABigEkghGrSHqpE+/ZTlJzbUGKzkIZulc4LeqHZJPSCA5jbvkT2uAJWfoJUDqIlqlB1Gp6g/+UNL6VKeXVbIsJLSW22kuKyHijCpEQqlBw6AGAT8BoOErHJIWSZTgKan01Bx9HHAzeBYjQgHtQiiZIqCTwe2vBBQAHXMp20r33ceeY2ruq1C9zRRDgMqPEg1UhEViY89RT850MUt4ecsf1xJyRyMLM1IhBE2jQQGkgDZYFO53av4B2k46qZQ2ZeF3X/3t3s2FMS0aNbd57oN4iNGzZG2MPC+X3BXNIzrJjusW7549GpCmodqRQIIY5asye7RwjBhpW/M2zcpYeAf+IQio/DyoAElyuKHv1GEgQu3g6yXRmpG1cTsexXAHR7GDUZOdSkZxN0RiCvBXGjwCxRsS3TMHNsyI+ALoffkQSwgS0HpFHFjBkzmDhxPH6/n4iICA4ePEhNTQ2tWrUiNSWF1JQUCgsLSU5Opm37drz+4EPogwfiuwHk8biyBIGJEtRR9aCFGFSBQknr6HLSlO1s/aCM8Awd/TInlRkt2Z57HvpRuAdplXn2a8i5zyPL37U0DNODEAfwB7uQlHAPjjAv5RWzIbwNDLwEZj0HsVXQvT9MmwYjh2G/oQ8z7x/K7/220GfAFKjRePPDObz3+W80enw0evx0aJOJiYksr6Wge2seSohmxYadZDdvRlxCNIowCdR7OXdkD6rrGnG7fXz942LKqxuNb775RjvzzDOFbpjSME0RER7GPcALsw2mvqngRsXnsM4nqhqBVUr88CJDPWji+qyUvcuyCbp9Mik7Rvj+ePrW/xkJVcXX4GH7rn3EJ8aR3DwF0+M7oaIrsYS/jsnSjek8vrsNdZfYUFo2QYpDe6aTZM2BePp84CByVTOeODsMER+N70AFYZE6PROqCCvPxdugICJPwRptYAQFtlGSbz5JJ29RA4+O3IwaSgA7lXQ8FBZo9NCuTQ7tOrXk3X//yI+zV3HPDROwawYd+08iEJWDKU1sCQoo8P2SNQwZPJbwFj0BP4Ggit2m0XdsLxxh0YcfULkEvAdPd8r/QH/gLBJJanoOpcX7SE7L/MsNW21ZE+TxwtxKUM8OVePaK8mRgqwUAosXL62NcppJowe1JVhdg+n14wjUkNciRWxf8Y6oKfcGX/lknm/kyDMj7rzrXtXrbnAuXLlNhrsiRPsht1PX4OHh285l9OCCYHkwQ9m1a6ftnTdf8qenJDqjYhJ9Tz37ot6v/4CwJuF/5Ms2Q2HGfeWwQwEj3EIQmzFQXQuJ8dGirOagqKpqNMPsVWLXrp3s2rmLzl06c/GFF/JKdTUPvfE6E2+5m5yEKLYuX4qRmUVSeDi1+/bRpkMH9h84QMDXSO7m5eipWSy/5GaAUH65QDadhysl+mMJ8Nirx3k9oYAm96Gd0wZjwXvIi/4Nu2ajZ9qxTQW97NQp0//bpOth7D04kDY5U/B6E6iuz0XBQuEK3Eg+Borw04G95kAEUG2EypYe2VDTf4JYhX+cWGlhNdbfig3MrTBoUzmf3bmCKJeB4QnH3VhHVNQe2r0/gw0Z56KMG4n5/bcw5myShaB2wHDKUtshhIG02ywBI0ERKuZehQc7G4y9+WEavC8RGX7ycrrBYBBVVU/7YKyT0V+ruCkwDB27PQxVOb7CcEgZCDUtpSQQkNh0qI5LYseAw14/xTRI2L2F5msX46yvs2LfQsUXE0t9m2TcziTMvvE4F2JhAGwg/AIjTCKG2fDVeamoqSQzM5NAIEC/fv14/PHHyc/Pp23btgR1y0Vqt9vRNI2MjAyGjRrJM+vWEdXQiM/vB5udQy9fAdUI4qoqJ6KihIjqMmwet4X9CKjUxqSyJbsLtRNSjsmGkVbddQEEBfgF4scA2tQAevxWzPJLQocSFAP/AZojzdWoPILAiayOR9m6GPPWm6FqKjz0CFx8IXTtStBjEpuRiynK0BvLqK3WMSWc0acdQ/t1YPP2A7TKzUDRNExTR0qT4tIqoiLCrPNMJNTVu6l3e3js5e8oragmLyeVCWf1Yu7iTdqoUaOIi4kM5uW1MJOSU7Wrr71B6dath7hzaCx3Dj3s0vtmteCGLz1UjmsA1Uo/o7YG5ftVBD7/SbZ1FRnZwwqMyWM6OaIjnRZQ5k9ajf84KQpmUGfLjr0YpqRd17aYdQ0nBf2ZpkCN9fL9r3lcMKsH4ffqyCyBHhRHl6I2JSIBotv7CPumkRq3D/wBHBpQ52DioH1U/2zngVfbUX+Bhp6uHAKyHo+kVcARpZtk+6YoyqrCSG3WiAxoiNOsr6BoGpgmhsfPNVedzdUXjWD6nKUkxbuoKDvIno370YNB+vXrhyEEU7/7mtb5OUizGz53LYuWraVr1+7UVRVT3xigY+eubNy0mVbxfmx/oQRwE/2BUyiKSqfuA5k97VPGTLz273kBQhqAQwObAUYAMCBlG3w0Cfq28Gg33Lw3sn+PtnLouP7CrKhCCIXaeg+aquAMsxMZJm2PPjDOdtV5vfUr737fLD5Y5nK5YvSstGhbcnIci5ZuRiBxhkfIgyXr9O++m2IvLalQUtOSAw898ojRr/8Al64HD6GfjxyJFpK9dXVQHwARZmmYpqJRUiq5+fabtetueEj/6ceF5sUXZ9iWLVuOw+EgLi6exYsXk5mWzqyfp+H44CMGDexLsLGeQEkJe4qK+OqDD3jhtddY/utveJVGdl97M0EcCAwrDaVJyz203oUlwQ3D6thRAIkAFB8EVxi6/iK27FcwXK0w+7SytOK2YKu10tX/KbIJSMBK43b/ybV15BwHAhFsKxxH+/zP8e46H68vHkvNdGGhuT4HyqjiJap4iKaMhj88sskLUAGGJpBe0FaZ6GMUCPphv6Sd4SMqtp7qA04qyou59+kvSE2P49y4KDZ+/R1KqsQ8czT5wy4gb7Gb0lXDCRqS6uGK5cYWlgPA2AEFTkHzdJWgmYDTbqLrh8EVTfuhaW8oioLN9icOqPqH6ZD1v2ohrTt0P63a/2CNI8wmyLBDdUAibPLQxJtCoTyvPeV57Y+6x+5uIG7fHhL2byGibTma0JGLVWSsREYruL0GKZHphMUN5/mnnwAkdrudvn370rfvYbyKLeTVSE9P55JLLgHg3CuuoEPQz5kzv6Ol4bcKskiJkJZmFnSG05CYRk16Nnu7Dwid1X7MmKR5WBMWwlKypaX0aLslthckgWk3E2jeDeRZIC+2Nj2fIGUG4Ke8uisxMSMJF3G48yZi+r/GfOMRGN0KunaBBg9qfTX6zDgeTdpKv/bl4FNJiNG46dqx1t4N6owc0cOKl+hW/Q6hKPgDOnabzeLXTjs/z11DQNdJSY4hLMzOpm1F9OqSz8o5L4jvf1hMVW2DbVCfDuwt9fnuf+BOtdZjinkLFmiJic1CBVEF53WF2+96FKastFI27A74fSHBYYOR730oan5P0hZdOluT3nJ+mrmIs4b1JdwVZllA/xckrJM0Nm8rpKq6jjNHn4FRW496kjLvJqDaTSqKopnvS0C7yiSQpSJ1jgb0GVY2gDETLi518+CPA9h3IAANjWiqFZgN1Nm4bsxWOu6o5c5POrKxQzTutprlxYoLtRdzRJsyBK5eLxjqKCU1pR7pPTkO4Njx+rw+nGEOVJudYL0bhGDUmEEUF+7h59nzCKoJ5OZmYZiSr7/+ir59+zHn11/p3KWA3Ts2otldrFq1mr27tzB12gy+++47Pvn0Mx68pj82pxJCdP95OX1cU8Fmd6DZ7AT8PmzHAoOOoaYpON6jm2TY+v3wxirQHrZArIoKNgfs3HVAnT1zunPCyG6+g/uKw1JjoigvqWDSbW/SukUar7xxK4HiKmRZLelJ4drMz+9UXv/3nMDN977iaNl8AFO+eZjyrXuprKzj8+9+tS2Yv9TWqWNLmZISj8NmU7ft2KcMPtM85B73BKG20bLyASIjQA/AF0thbwZoTRUVVWujmmYUw4adqeVmp9OrV2/27t3LokWL6NWrFxs2bKBr1668/8GHXHPNVYw4sxeRsfHI9HSCDY2MGD6crdu3U1y0lwMTriFY5YCgiYxQLUXjyLWuB6GqHJISrco9TWltfizj/7efYeKF4IqGnp2Rk3OktkaKgGKCphIcbh15Knb8ZUXwKIoXMF6DHAU2mTA9CLWc3MMgADQQNtBsTfE9MLzg98WwddcEOrX4hDXbrsCvR6FgIBmMdfTvxUieR7APeAApnCAbEbQDtBB+IPSgHcB6EJkgtlsBYXP5YnhzIfvbd6BoQ5l85Yt1vPTW17TKS5NTZy0XKNGg/ir0q0YT2etcRm6s54EHexMXZfLBXMGTLwtKR4MvCzAg9mu4vQA651i8W/sz50/8n5Clae/ZuZFRE64+7bxpiYVN7dsKNq4VmD3EURvZOmbw6AUVcEVS2qYD1omNWEkbg7CyURMAF4goD35d4gmYhNlVS0k1Q4VabKGDHFWrBp+U0qrhoSgopsk+U7B/6LkUOewndc2KJsv+iMFIISzF+lhmZACKgdymEti2HCP2J9iSGUoZcYHMw8pRCR2vGmxAEMCZugd3qgfVMxEunYgxqAoaHYiP/wMbf4Wqy8np1Yh0BDEbnaiKxPT4QimIIgQAPcKbIyVOp52q6gZrTfkCXDS+P0S52LL9ADv3HaSqpp78rBS8DV7692pNeJiTbTsPEBuOc9mc52je/hJz967dekpSM03XdfYfPAgCfAc2wb+fhH69rGe99hpccx26w8aeSJ3xU1oz7ewGBvXryvxFazhzYHdsdts/wzD+DAkBqsL2rXvYd6CUs8YOxqw7ufBHShSnTmlNJNf93JkfktNQCiRSF3+UYAoWv+gJXzbE06ewLWd1KyLYALbQtrBrJsHaMHqnVzL3qt95d0U2G2bFYEjB/oowSlxh7B4aQbClQLgACaYu0WohKckPmokhBdppKACGaaJGufjllyW0zE0jLTmeHYUHaZufgar5SctMpYeRzYJVe5g3bx6LFy/m22+/Zf78+dTU1LB27VpGD+/P9Nm/M+qsMZQd3MO4ceOYNXOWlfHwNz2Ox1UAVEWla89BrFw0kz6Dx53UC3Dkp7oObh84bBaOqroWSqph0gzgopDCaYIjaClZOdmZXHHFFcozTz/tnDJtnvnQLeOUIf06kxAbaWn+DpuVauWwIX0BTJuhRDuDTle4g33FlTxxzzs88Pz1eJZupKzaHbz7X3cY/qDulJUJRn5OijJ/604phELA0LEDXy2HK6ZCbDyECcm5XeDAesH3uSDGWh4KJWQ8qTYNRZGMG3MWcBbBYJCCggIAduzYgcPhoLa2FiEELVq0ZP68Bdxw/XVEx8Sy4de5DD7zTJYsX8GGHVsp+LKcQHQSRr2bXWFRVI+1o3cORbmFAnuL4Oq74YmnoXkL4lf7iS4N4ioJUJcdwf6l2+HMQbCzENwm+vUBYbtCIDyqpbE2gD4BbO9CsOJvrQcEMNgOlwYgQ1oJidUqLDah7gTrXVVByQBaQDDZyghDBcJArQLbAYmvuhk75bl06fMJG/ZeimmLxPQHEZqK5GX85ZuRnimg/IiQKqgRaAmfItShyLIAQd1udS6A5fpvDnhDNYD3VKNs+IjPf9rHuhndArnN0yQYzp17SkTbtq3JSslmTaeJVI46g9SlKxnQsyOxkbE0+kyuHCQY3Rfu/g8s+RLSkuHxi6FvtpV9o53sxMf/GhJ4PY3EJiSdJjCJQ1W0dQlzNoLa5Y8KnjxBlUJxBJYACXQF8S7YrodgCpRGhPPQAvD6VRQNCIBSLzB7qDjS6ojfuZN97QuwS4kZstIFEK4o7HTYEUg0TPRQX6nAeud2rKyM2CP61hRnPBnZQnmijfth4wtWoQxeAW8XoDOKXIqNYnQ8mKwA8TMNvrWoOQnYvIXgaAMxQRDxEC7h5hsRxVvhstcxsjMRjqxQbWFxjPJ1uGNCCKQ/SOu8dD6ZMp/NO4ro1DkP6Q9Ao5dunXLYUViMTdNQNJWw1AQKOl6GpmocKK2ib7dWfPf+XYwc3E35+vOP6gq6do44ePCgrUOHjtx++y00z0yi6rNfoFkcZKTBxPNg2xZISoFOzVj2n2SkCQmJceRkpbFs1Wb69OhwarT9P0gSgdBU9uzcT+GeA5w1agCm23PKXP+gVKhpDOeTRZn8kJyG/VKTYFBBHs/pJkAaoMZL9kVFsHJbLKN6FyJlKJykKiDBhoGpq9gwuaX3DssqlAIcQQ7WxPDQN234aXoalZfZIUNgLFA431lEp1Y1Iev/tAeN9AfJyGjG8+9MY9OOIm67YhSd2+egqArS76VlfhvaFAzljTfeoLCwkBEjRtDQ0MDmTZuIi08gENQZf+4EAGpr6zhrzHj+8/HHHDxYzN8Fd50oWEhCUjpL5v10FELZF7S8raoKYQ7w+KG6zrL0PEH4ZQ/M2QPtEiE7Cp5ZCBU+UAsg0CK0HQxwuQUJkaCqDu65+y7uuet247HHn/D965l3XZfsqjAev2OCGh3lErWbCjGFgj+ok5Ich6obNLr9ZKQm4PH6KDxQQcAfxB80KCuvVPonJ8nouHjx3YfTlLAwp1TVJHnkcQG+RtAGgmc01CJ4bTloHUE9Q2KYAtFkPJiE0i4EXr+OXRMUFhaydOlSFi9ezOTJk7nsssv48MMP+fjjj3n+ued4/4MPeOvtd7nowgnIoJc9e/cxftxoVq5cyxMjF5DfvxrUGsbfMojvD6agdLHSWBCgHsyh5YRviZtZQ1p4EecXHKB9v1pyE+pZUpTIzXvvYPUD90J6EFIyYPpyjMvHoH4EejiWNmUDEW0hov/OkpDAfuApG1ynw1ITqoyTnDgQDkYuGJdieS6aXHIh4WAkgZkrwCmpdGZgNg4jv+tXbGp2AUEiQJhgJsPi2+Dna8EWhfRXg5QEe26ETkOxfSfRdkp035G7rinpXyB2b0Pu209cWi7SV+fYtrWWLl0607FDJ+76179o3boV/5nv5snnfuG6C/MYcWYuSIMIp4phQjMb/Ofqo4dlmn+qZP//GTUp5ysWzqRtx17YbCdO3z0k+IWFxamth+kbYV9bCOb8iWcegyXABJkG/inguAG8O+G5Rqx1oAAHgQYJFwjspY3k7N7CtvYFJ66f4RcE3QKCICqhzQzIDYIhYLsT9gwGoxkQiXV4JBxXERA6luvKMFG8Jvz8OUbDFMv9GFQRrAcMwulJLs0o4VPK5RcIkYIbiAtsx7m+mIZ320E3h/UQRSArggSdrSG3PYa3DIQ4ZWqdsFuHckTbbYwb2o3/fLuAxkYvvQpaYouL4KNv5jF/yWbWzHiOrJw0Cldto2eXPNZu3kP7VhnkZ6egIklpFsvSVctjv/z8s4qcFvlxrVq1VONiE3jvlcu56so75dahVwr/TRfAjClQVwU5echn3iZac1nWsWnSqlU2VUvWsXlbIe3btvhf8QJIBMKmUrSnmK079zJ0SA/MwEnQ/oApBYojyMaiBM79qRd7OrhQx0sCpnLSQqEy9I9wgIxSELp1RilC4HVblc/Cwh0oplUTxAioyJBLVnpsxMsAH9y2kM+ntOaaBV3xX6RgHhScE1NM8+Ra9HrnH04MPBGpqoLu9dO9d3tqahu5/p73aJGVgj3ahVHvRbHbWL9hC2u2z6ewsJDRo0ezefNmPvvsU6qqqnn8scdxOEz8fi92u5P4+Dj8AR+XXjqJf919rxWadIhTnZ12QtLgMGM4koQQ5LTsSOHOjeTmd6C8EV6aD/v8EOOEnimwpAjeXwZKkuXqpRPQH2YUAiUg7jp82i1mKNQW2qhNzwvqBopAe+jhhyPOnXCufOihR+TIaz4MaopfK2iTIksOlqn1ngD33Tiewf06cNn5g7nm4qE8++ZUHn7pawb3astFV48mtVmEunLtBuWWay8zx01dagqWqTfdcCUVFZXEJyYAJpqioPtAMUwor0Fpr2KGxxxKOTu0DxxQa1hZNDa7hiqgZcuWtGzZksmTJx+aoyuuuIIrrriCxoZa7rnnHmbNms1zL7wqXeHhYuvW7QQCAe656xYObJop6+fsEPEZKo5mAZR2YCIQBqiKRP8Svj5vBu0urQSPDYIqGAp+j43eyVV8fN6vXPlse5bdmgGxsRAeg9kPtNdBBEGGvBbibwJ8HSGDapnfMraq7NAYsLD6x6VcYDDWaXyVIOpDnzs5pAAoDaC5wXQKjAhJjT0Pe72XdhVT2Bx7HgHDiaop4OiBicPK04/vYFlt4a1BQPAcDXWZRFkKZoSAFKygXDxg6KguG7ozgnMvvp53n7n9D910NzaQr09n5gtJ5LbpjKHriFAMOmQQoJuH37+q/M8foPSPUWjz1lZXEBOXeFIPgBDgD0J5JXy1Bz5dB9s2QvAVTs+SPhE17WsV/O9C+MNW3n4gG0QD2PxgXGRh8MKFIEzTaKrKfMjrEHq+LIeI36F5DWj7oU0SPHY15FpFDznohoe+gLVFsL8HVHbGKh7pOqI/oVRBdR3YXjAxfDZk7X6MTfMta0WXgANJAxrZNLKOMp5BMAG4DGyp0F3FaPwGw/Ut1EZCURuwxQCQ8lOA9vs9RCYnsq9xC2Vb9tEsNRVp/FGgSUAoCnsLD9Lg9tEiM5n09Gbcff1YHnzhKxo8PgaP7Ut6Ujxt85sz6PxHyclIYuXG3TSLi+LjV26gT/e2OKPCMd1+Hn5gEisWbeSG+59OkI4EfdasWWpERAR2h4O1S78Xr61APn/bXVT0u0TKZy5TjLsfwzXiXqZ8OQFNBaRA6gZ9+nTm5+kLiI6KoHlmyl86Sva0SQiEqlBSVMqm7Xvo16uTlaUSqslyIpIAmsRXrVKXY0MdL62y36cBtxEhT4BmGKCZOJxOCHr5Yuoi0lPjGTa6N0ZNA6qqoIoj4fyWUuAviuKi4XtY9J943lmUC07Y7w9Hem1oivxT20WzqZi1DQwb2p3tvdohFAFuH6rTAaaPnoP603NQIg2NXu677z46dOjA7bcf5mM+dw0OhwUEv/CSy2jKg53y7TdQvQzcB/5Eb47p26HJOkYJUBSVth16Mu3rt8nN78DCQsmzS4RVrr0W3tkFIhXUpw831OQRFBnWZ6YZcvuLI/qnQsABNY2QEW3FMAQSXddp06atmDLlWxtAXV2t/+FHHvP5g5siUu1STrrldW3Gpw/Qo2crTN3k+snDWbdlH/NXbOPCWyeiKZoM+PyUV1bJ5PgI+cbTN4kdhfvNW27/l/zk369rit1GbaMC8Rpy5zLkxbcjm6dbVbRa5EBCAoRHWIuuM3yzEs7cD+0zQ9kCyENFXaQpqa+vRlFUwsJchDls+Hz1jBkzmjFjRou5v87E7/fzxRdf8PijD6I5IozS0oPCXb5faXlWmIg6/0pqgaZCDuIswedlOTx00I/NYSCkQBHgUC1XV9sYD1PvXMvEr5uxaFstZrMYS6tqxuH8d5W/rAUCRAgY6oQqExb6LQjCskBoLXAEow4BZEQ0MDL04ksAL9gaQRSA3B46J8kEswD81wLLwTFVYHoktantCDN9tCqfzjbHKIgPQ2ZHYtR2QPy2HZExAjngJkhPtuLGqorRD+hkOQzwmYhGD2aOD36Zjf7ZN4Sd+xo9xk8mEPCimzY0xURRBKZhsG7FPDRnLLltBqIHDTTb0eaD4DAg9P83EopCRWkRyemZCHFiV6puwsFq+Gg9PD0P/B2AS0EJxTj/dm2Yw6B0PI+B8w1Qt1kfBbtBIJRgYChWNcamY63MY+/fCOO2wlsPHpbpUlr1OgCSwuAD65RVvloBb74GB9rA3uGgJIbaCykAsgSCQqCfAQSag/NsmLMKCzlmADZMSmlOAgVcw3bFQ7mZiMgYikzw4oiOJCLndzyP30Fm/JXk9j8PX6WPe4du56wJe8Fw8OGHdXwxfRVXnjeIyLgopD9wlFALBnXsCTFccdfbzF+2hY2zX6TN4C6M6ncjl044g6KSSl555nOuv3QYU2esYMO2faiKoF+31pRX1jL28ue5aGw/nn/wYqJiItFr6+neJY9lPz0jeo69X33yyafNdm3bKO07tOdA8UEu7NFJtHzyLD7bmOtbM2m9Y+f8Hcqd16TQJaEeEIc8RmZQ56wR/Zgy9TfCw50kJMZZAOR/mkIx/4qSSjZvL6SgU2sioyORJ8v1b7oVQBckxflpW1nPwuIE1DR5WutVAoRBjbDjrlMJ+BqYMWM5U+es4MZJw60NcYI2BCBUiWHodMquI+cXN83jPAwZXIZQDQxdtZSG0yUJiqpiur0WaFgIUBRqq+rwuOtRvbsI2j288eqLnHfOSPr06YPUG2loaCTM6cQM1KGr4PEGEEYjkbFJloc0qGPT/x7yWwPYXw7Nmx3HE6AIEpLTqK4oRQaTCesCwUyQmUBHa5KbwIfy0Mxx2Ad9bMEOQGrgDoPqhkNzgxLKdW4qbyqlJDo62vHKyy85APerr7zs2bFjVwLA7u0HRF6r5kTFRvLes1dTVFKN8Pu4YPwQ46OfdpjPPP+afcSQ7iI6XMrdRTWytjqgv/Xe51rns67mo0ovDNLQZ+2yDqjXFDjnbGjfHt54HTp3xtQlSqZg+ULYtNVSAAxDYtMsMI+7oY7amoNsW7+IpOQc2nTthzvg4tdffiCrVWuyczvQo89whAJ9zhhLaXEx+Xlp2hdfTPE9+fxbav3qV23Gx0lw15nISKdVB32U5JnHWzEu9SA9WlVg+lSEYpUmtoUplB304NfsjEv6ilVKAx6flf9sdgBlhXV6GrqFJfwrzjwVGG6HFhK26hb/FBw27MzQu1RSwGwHdAPbAYvBkgZKPMgMCJzP0ZZYExlAD/D3sFZBENhLVzJ2+MlpnMXOLiMxyAIuRv52I1T8iH3/5chAgECcZrliVAN0HaVCRzVr0CvewHx2DiIA0cE+XDd5MhPau7HbXWhSIlAxTYNNaxejKAo9+g7FNE20/18l/XFIShMhFFYunkPfIWOx2U+M/t9aCf2ehrr+oD5xuJCeqXOqc5dOn5r2vwm+G4/57tja/cfeKq0QLMkQHWcto0Y/RDgsnmQ/po8HK6BTMrx8N/znU3jrBVCfAfOIClwiEss1X29AWTXsdoPZYBXSkv1Q2I3JDoZwBwWEUSZX4KAzvmqJunk25R1/JjcJXH2+4dnhOhP7fA0eF/hV/NVhCLvCuJF9+HHGEgqLyukQF/kHV6oInQw5oGcbnr73YjLTE9m3sZAVG3Zz3ug+dGydxYMvfIU/EOTRO85DJERb8ZkwO/6ichxJcRiVdVY7uommadZJcwimvHun0n/8/fq4L38UL7/ymly+bLGZ0TxTueCCi0Sz3V86s4qXBJIzvI7bxz+EKVTrZMRwDXxBS6nXTcYO78+0WQsZNrgnEZGuf94ToCpUVVSzaVshLfOzSExOQPr9Fn87BQkkmArRYUGaqx6oApHGqRWAkFePjvBdTTYtZu7kwIpneevLZeRlxKHhxTrr+sSN2BUTvA6u7rqH8zoWEesIgJBIv+3PCf8ju6UomKaVDVJX18g7n86kuLyOnPSlHCyt5Parx5GS3oheNBUtLIwF0+ZS0LEVKWlJeMu8rFi+FkWz0b5VDrGxUSEQp8LxyxmeHmkAHd+BVZdDbvrRSoCm2ejRZyhfff01126/isDdErNp0uSRLRxDJ3s5GvgcFhr/UDvi8AQdWds/EPCjaZpr8JAzXe++92Hw/JvfVi8a04VHH71SyAYfURHhtG/pgkYfMRF2264ty83wmObBKmK0yfd+ZbbJb65u37hGm1HaVqJIIc6yQwzIiZNg4iTroRUHYeceSwkI9UeRgAsOmtJCe2oCn89DXU0V2zcuZt1ehR69LiczT2XJdpN3dkhqGwtIn78LbV8uB/UofF4DwxTkJaRRUBOgJOtcZ/Ij5xpLv/rc9P7wtIK2Bu64E+lyIXWJfbjkkZVt+CR+BYmpXg7srCLM6cCrhnHVm9v5fXMUnl2/wNAxkuR4QQnoM0CkY2UKLASjnr9EEjhgWlgrt3H4s6OWeQSYl1hxVbEfZBQEPzpOQ8bhm4Ww9liTYSoNoAFAIN0K+7WeZJbMJ3vzKvbWahh33GLd6ttOwHEXav57cDDBql1ctQlWz8cYFIHRrwHu+xiUMKS7HZc+OomnBhv4/KEzJEKLeOfWtTQ21tGz30hM07Aq4f0Dha3+a0iCKQ2QJnZ72Ekv9QXA0dyqxWEaHD4M5Z8S/kdSU9yvaQE1aZMnoSY2IFXY5LMO7okMgz0HwWkDuw28fggE4aAP7psBC3cDHYEUcAwBvxF6jg2rLPRWA2moUFMEX1wENUsQSh7CPA+T/ZjMBBHBQqbSTz7EcPkA61QdagTi2rHw1FiM9Yvo+P0WEu2RBGojMDwO7JqJwybR9SBxKbFkZCTxy9zVxEe7SM9JQXoPewFsmgpVddx/03h0TWHZsi3c/siHhDvs9O3Wive/mMMd145j9vw1rNuyl/btctCA2gPlVFTVE+/xE5cQbQnmUIxKVRQMQ5LZPIHP3/iX+tiDNwdcLhdzf3y3oWjfrvCXXnvTkZaaIt9+7l7RvGUiZnUtAhOP20/x7mqyM5qhaSqKEAi7xuD+BSxYvJbBAwpwOh3/XHqgalX527B5F1lZaWRkpWN4fainnaUiEDaDPRUufqtPgrwjPMonIwHSEBBlcCBaY/sKgTPg5aILLuXOGyciTBVvVTVhURIzoPwhne/IR0gJ0aqOHlSsU7n/ovA/3LbEsKv8OHMlbfIzuH7yCMygSUxqAvgDGL4gWngM+/cUkZScSnxSCig2wiLsDDlrOGX7ilmyajMtstNJS00kJjrCilnqf817owE0Xg5d34KV10Je86MnQLU52VypIIb4kLGOw1/+VT7qgcRyyA95EE7Ej4UQOBwW8KZdu3Zs2bLR9uGHHxmPPfawbBb/nXLr3RcKvawa07QGodltJMZFKmq43XzuxZcaMzMzowD/fXe+LJ9rrHfarjfxo4RcPyZsMrFVCERBKoFeqYeeKzUrR9XsBR8sFvTaotMhrZL169dTcXA/Z4wby2vzm3HLNJMRV5vsW6WwZaABg1vSYupmasVWKjt1A1MFBWZXSii0Q4IBvYMqYy8CLoKRI+G99+C225CagtlNMnNlMp+vT+VstY6pM37lwIEipiypZ19kGmrdatTzh2G8/LbAZzVBGsgkoAhYwAnPTD8VmcCy4+AHDjlznEAu2GpAuC1epN+DFSdourCJyR9h5TVtFenFKiiwD5IrrVolabvA6dHYmdQfI3YNWct+ZJchEe3bI88YjMzLR4/5Hu4Ya9Xk/+hbhHc58qvfYW4aoks3Uvo9RjOlM0kZEDSt9FIpLQ27pKiQ8pL9tOnYw0pl/YeqWv5v0pEA3D/ElkPj3L11LZkt2mA7Se6/lNAtHSYmwZvfgzznf6zLh+lYa/9UfLNpeK1gXhXc+wGMHATjv4f8ZpASBburYG8VGNEgzgJ7C0vPMDkCpOoDqkGZB+psMLr6Yda7iJpVSO1B4vTHUHmaCj5FoxuIXBJlOs/xAlvFJmwMBs7F8LZDlMdTEt6RrJilJBh7sGthGJpBU2KIpioEaxsZMqYvjQ0eNm4vIik5HltTmTjAMEzUyDB+/nExq9ft5N6bxnPTFaMpaJ9F61bNeenZ6yAyjO9+WUKEy4miKNQ1enjqjam89clMJozqyZ3XjKNlXhpa03GxWLnuMmDQt3uumD3zGYdVRavWkZmUQN8vXgS/BFkFtaUoDg0Mhd37ynjw+a947fHLaZ6acGjaY6IjaZ2XyZLlGxjQt4sloP+uDqCq1FbVsmHTLtLSkshukYnh8VqHrp0mSQBF4vaoVEg7StgJUv9OSAKhwX63RmNVFr9FXcTbiwZAIdzRagePD19LmM1ABtXDBX2ERGhmKFYlrGO+sRzGf5eklKiqiqemgb0Hyrmk5wCiYqMgoGM0uK2UUUUQMIKsWruVYWf0wO6wHQrNmI2NJDWLY+w5Z7J+1UYWLVtLh7Z5REdFEB0TaT3kT3pwNAAjHdy3QMHLsOxGaJ1++AJT2GhMGETz4l/Yznj+csCwycXnhoyD0Cbl8MmsJydx6CS1yy+/TG2elc0N10zWB/TqLDt3ztIwdGHWe2jVLofrLx3O0699aX/tpaeUSdfcaXZsk+foPOE2zKojzsjRQpJqM6R/Bmonk13ngChQkAYIRWIIAclQ6K5k4ew9aG1WktmiN30GDAOgf1eDOeerzGgGSkfQMhWkNNl34Shaz5sGrmZUp+RYVe9aCERPABUTFdOQ1nmkP/4I55wDGRnITh0xmuegXq9y29cFPD8dzqqbzddffkyD2446Igbzp5XIxHjAgJcVaCas4jUK8D1/Wfg30ZHbsikEoKWAroFIAHqBUgX+r06zwZ2Wt0DaIHY3pG6HXhKuHGuli/YeIxBI3vzNznOLelFrX4sz0YVv2DAYPAi2b4P3f0C8+QWia2/Mjz9EjhoOwSS4+VFkwWUM3g6fXOEH7Fbur7CEfH1tNTu3riU9K4+EZumYpoFynKIx/63UFKc9qcIS8nJsXLuEYWMnoZ6kXLAQFl947UJYdR8sKwDZ/H+g43+TmvQdewv4eCa8NQ/UB2GjARtD4SYtxP9NLFyAaJK1EuuLVcCToDgNzM4qxp5ViHWfI8X12IzHaE81dWyiHIUkIYhXnqHQXEaE3Ei8fIwqWYbgTeTCMNS8/vhjxuHevw17ax8obRHSc5TVomoqZlUdPTq2YP7yrZSXVZOalYz0+kMeTQG+AH0K8pkxdy2LV29n8mUjwO1FBnUCHj+aP8iFY/uybXcxqlB49cPpvPbRdK67ZBg795fxzU9LePSu861zjgNHaOoCjICOWVJFfYOXiHCHrCFRPLyxNeW1QS7PdtIyvAFhQnxigPbtc/jh43upqaw7et6R5OSkU1FVx/r1O+nSpTV/q1KgplJTWcO6TTtJT2tGXptcDPefE/5HdA6pWAf3iBNpJccRSU2OamGHbQ1Z+Aomol6cgpKrY0Py4of52H6S3D9uPU4hUaRAKCYeXaOyxkGyy4cjTIfg6dX8P72xCDAlYa4w6ho9VFbXk5WTCtJEVRWkaaK4wlg5bwUd2rbAGeY4Cpdh4c9MpNtNx06t6NixJYuXrGXrjj20b92C2Ngowlzh1j0nyOw45uifw1kARhJ47oKej0DJyxCmhly4CPb704iy/YKqBzFV1WK2f3kSIMI4/PfpUNNJarquM2TQQB578nnt8nufDDxww2j/WUM7OBzhDoG7lkHDe5Kf31G56uZ77O++oRiPP/6ksW7pDlV6o6FjFMI0kG4fQkrk2Dga0hLJn6LQcADKciQiTiAROBrriKovJ8G3lG1mPF2zrycuGjaWWaX5E+JUmq2XNA4HMi3viwIEsdEQ1YyoAweoTclBP1Ks1jVAbQ0kJ8HBcnA4IDERnnkG2rRBjh2LkZmLOiiC0rg03uu8hTCfhmP0I9L3451CSgm+IKLOBmtBZgORINaC9Pz119FER213AUoCBIeB6gilw2nALVhWfxOzFYevPwo6sgc6vAk92ltpo2d0hqFXQeIRXmoLdS+4YbCkXXPJ5NfPo7HNj2gvvIDxwgswcTLKsLMx7r8NWROHpkXKFms3itR7viU8og9lP3joMMiJX3dgmBButwSi3+dl7fK5xCYkkZPfAUPXTyoc/9voiJobutfrZffu3ZpN02jZqtXRFwoIBvyEuyJPS7lRFSu0/Pn90PNxKH+K09Pj/zedJqFnBZIg+Li1xAzTApSKUHjS0EPMPbQmD/EzFSsT5ScLo6S3BDwgdtdB4zBQrkQzg3QljlLSWYfEL3eSoj9Pg1hLNYmo4goQYSgRwDtgulYRd9HDpESX0DB4BMYxAD/ACnWpCgHA4/Wjm6aVamnTLH916CchPpp33rkNPAGMmgZESDnQNBVVsYpNvfvpHB68dQJ2u0q7ls158l8XENsuh8DuYpav3k7b/HQiIsIPKX/CYUcFli7awKffL6JXp+bi67pLmBlVDiPa88PK5lAOdq/JxKQiPhmzDD0IsXGRh938oRRGaUp6dG/H7F+XsbuwiNwWza0F82ffv6ZRXVnNhs27SElNJK9NHkajx8r0+SsUcnpIeRKc8/H6qADSj6jYzc5vL8a8vDvkjsdwBwg67TgmmzzzQUvSf/Vxw5hNeCtdhMX5+Gl5c+5e2Z6be+zm2tY7CBMmyj+wCUxTojjt7NlVzMGyGhLiIklLibfqQ2ANUGgaDZU1eH1+0lITUe02jgVmNhkGMqQI9ulXgK+ukd8WriIhNpqc7FTi42JQbDbL0jr6ZkSYA8tNZpHWNIFSghEHYhj8uBHO7xy6QoLXVNnXqR+ZaxZT2H3gcdCCf4JUKAeqPBBhP3VTocOUDh2Kous6E8+bQEpSkn3y5VcGtu4o9t9w/QhHuBIjvlnTgls+XMkZCa24dExX38MP3W8sXbPRlWsmmbvnpGo0DwhhViH9ErVPRyr3deX6Hm2ZbM/ivm8ElWP9RNsrSF2zAs3vYftFF7C1yMZ/5uiwuwKtupqwuFiC0akEzhWYiYfHZIYygfd0H0Dbz94ipraeyuRMhK4jKyvh229hwwY47zzrd3U1OJ1w003gclkegcpKjJgExBkDUONr8Z4xCN65VmAELe3faUO7HsxmlhuUGrD9BsHGv++xO3rSwegL1IJxLRjDTuMWD1aRnhJImg+v3Ql9j/AkSSx+0mQEqKGaC0FDMCBP8tsjCQy69Ar2MRs1Mp6wpXswl1VLW2QE7RNKZachQ5Vnnn8RV1g4lhYSztGtCwIBP6uXzCHMFUmHrv0wjP+/hL9pmiiKQkNDvTFnzq+NWzet54GHH4sClJUrVhoFXbsoKIpoAv+tX/U7rdoVYHec3tHdNhWyXTCxG7yxBOh7dJgeTvD/Yz/8n6CjAq+AGfLaqUf04UjMgjziMwGiApQPQWwGfSDgF2hbAigrFIJiAsi2BIWPUuGWhgwnQkYIN158aGTIMygk0kIoiwBGghdtVxW0jKbjTU/zeItN6NWrKdlfSnpW6lFIf0UR6N4Ama0zUX9fx68L13NRs3iJaQpnhAMREWZZ+7qJXlGHqihHVb0zdAM1Jo67Hv+E7IxmeL0+br3iLB6743wURcFfWslVd7/Dp98tYPX0Z+nSOR+COoZusHt3MfHNYlm8chuffT+fb35SqXV/ghobCdftRLSLtp6BYNq9qRyojyA9QT8Ko4AA0zBRhEAaJkOH9OT7aXMJD3eQkpqMDAZPL3QmBKgqlWVVbNy6i+bpKeS2ysZ0u09e5e9kTQJIgVuqISPjj6a+8INoBOkC2bQNmrRCEYa+bz5C24dgMNKUYLfCG7oQqP0lv6xOYmRhCdnNq3G7nczalcT+3uE8UtqaTt5aBg/cj14Thqb+DY8IWAdCqQpTZ68gITaSccN7khgXCUErG8I0TYSmMW/havr26EiYK+ykWRmHDhny+nE47IwaO5i92/awbOUmWuZlER8XRXx8jKU9h/ABuq6zZc1erCpqFh1Wy0KaVn1r+GrREXvRhAN1KpUd29Bs63qEaZ7YFXMyamowGVb1hiemWGcE6KeY1yML+QBomkYgEKD/gP6sWLbINndNsXjwkY/0R6fHM2lDHoFbh/K9vzk9R9zrWlqTEnHOXW977r/vau8lfYfqyflXS3n3R6gvfItRHA8vnUez2tlcNdLPTdpuMh9dRYsp0ylv3YGNZ11MQPeg5jai3aBhm7AeuXYY7o2jCQz4DlNZD0uXQUUF7N0LM2fAqhWIH7+lcPNenE8/if3eu5EPPQQ//QQlJXDGGbB1K/ToYZVKvO02SxF4/XUYMACmT4frr0YuXoQxfDTM+RlSXNa19QrMBBEEMxpLifsUzJo//ypO+n6SgNahHyyFUBjHwD6KgT2Hf7T1EP87ZM+BXj/D+bGW8PcELKGvh1IVbSohIM3htmwq6IYkJ06y8PU25LZoQaTip3H/AjPCM998/OlnxcJFS5TX33ibMIcTf9AgYNjw601rR1obOhhkw+qFIKB732GYpon6/5HbHywXX21tjXHXnXd6L5h4bvRbb74SExsTpbTMTeeRh+9vbGi0TmUwQyVw9+/eSrOU5qdd+hcsw++18eD8HmQhsBfYA7ISZAVQGPr/HpBNa0v8L2AnxdF/S5WjcQRHfn8kDqkS1DWgPQssBL0/0CARPgW5rxDdG4sUQxHSRJcmc5jHPPEdQYLYkOwgnY10Q9AGgc1q1LceY9aHyIeeYOVjN7J+wwpq3UE8Xt9xC0Rodhs0eph84wS9xu/yv//tCv3BF76W3/2wUG7YsNs0dAPh0LCpyh8q7wkhIKDTo3M+I87owtadxdz99Kf8+6u5eELMPaVZDNM/vpcu7XNBt7KkvP4gj7z8DR9+OpvrJw/n3FG96NGlJbGRDmS/CzEiYtB1MIISMyDxTVaZ/FM3ivZWIhwWXsQ0Je99Nofd+8oOTbE0TMYM68fiZRuora61KnWeqlBQSPiXlZSzbtMOMpunktsy+7Sq/J2IJKAoJkajnY3BaMiwvNGHgPsh2ahskThvNVEXh/qoh/rT1OfrbkS274wsK7EYjyZBkxiKwGwlmCGSmbM+kVoFHvumHZ81b446WOK2a6yoisXns4FmWudJ/EUyDBMtPJwFc1aiKgrnjOhB63bZaKoKUlqKf5iTHZt2kpGWjCvi9M9psEpNg9noJis7jdHnnEljo4flqzZRdKCUuuo6sGkQSl+/5ZGPjrr/DwnRMgeWVkNxPaRaFXmtg3JUKGndieRtaylp0/WveQEkYANfG/h1Lewuh+xEa6zHK60YMKDcbRUeOtJbYLfbCQaDJCQ2EzOm/2i/+oqbjDffekQ6775ceNQclKwqwrIHsT1hjPLAjddHntMtkQ9fOpOXp7t4+r5dMjotII3VpWLopElixKgz+G3OfDo4F/P88JE84r+aqmhQVyzEmPILRru2kJOHyOoAfS+Ct16H/U9Ap5awZjUUFMCO7QhDQW7bhNpxEN6H7ySsd2eSO3elOD3/+G6r6647fHqPqlr1CDZvhpdesjwEsbHQ4IbIcKgX8DrwOwS6AnHAx0DFH708f5lsQB7QEmgBHACGg6zjsLXlBUqg61Jo7rUqs9klZCdDt5aQmQ/drYqVGBJOcYDeIdJUBVNCWlY7Fi9ayJtvvsXPv0xXhg3pz03XXY3fH0AIsNlsOGxHM+Cm87Z3bVtLY30t/QaPwzSMUBrl/z+gP4/Hw4EDB+Rjjz7s//yLr1yD+rQXjW6fXLFup1g45XEm3fJS5Lbt281u3boIVdWE3+cmPikNLXQIkWlKGhobiIiIsBSCpnzvkFehiZQQHuCyIbDhG3DZAAP2pVrY2NxiCNesyru7M2FPa5DhIeM48x/2NIVI1INSBDIZzHhODDM60uKvB7EdlB9AWQBGVzAGYlX+iwJlLairIgkIG1b6iQDCMaUUPqpJJIEcBrOasTSyBmEPICMBRUVRYzD7TiYjugV31y+hV/4Sqiq9mIZBsL4Rm8N+WMBIMExDFpfWsHH+3kYRlqI+8fzLEeVlB0ViYrIelxBv3HfdcO2cswpUl81uHVZ0BKmqAI+PiWN6U7i/lOsmj2DShIEMnPAw9Q0errxgMM++dKNVwanBc+i5EZHhPHLbeazeWMi/v/yNdi0zePDmc1iwZi833f0x3l03Q4vcQ+Faf0tYKmMYf82LvPHIJXTvko+UJp9MmU/7Vs3Jy0623oXNhibgzIE9+H3JGgYP6km4025t6OO9k5DwP3ighM3bCmnXJo+U9GRMj/cvC3+wwoPCprOvNILZdcn8P+rOOryKM/37n2dmjsXdgJBAgrs7FIeWuut26+622+1ut+3Wtlt3b6lRqNFSvLi7Bk8IIe5ybGae94/nnAQotFR+u33v68oFOZkz+syt3/t7M7IlG6yOizL2hWCvAAajSMnCC9QO1Y7+9S9Yswpee039sRqEVyDiAbdES4bN++NYPXMY74o2uHvaeE0N/TTJw1O7kLO8kfPG7YE6F7apIYT8xWrFlhLd42TJ2l3kZqfjdBjYPr/KugBC02hoaGL3gUOMHtYbl8f9i1H9mqYhTRMZDNKnfzcIWixaug7TtunaIYvEhFgqaho4e8LAo74npDzGt7HB2A/jv4XvbocGL2Q+BTV/B8Pno9+011h5+e0IaSPFcSIPeZz/H3vDBLAbJn0Os/4KflNlA1pumFJU20rgqk/hrG5w91jQbJqpTAGCpo2uwfZyjdP+MlUe3PK00ArKsMtLICECvE0YXrVO0qKiyW3rosGIMiMTOokuubn6VRefS11DJR6PTtcBp9MYgP98YvFs8Ta0hqexXJlqgsTK1dA1C1GcgZz+LuKGv8Ir1yGLC2DimdBYi/bKJ/D2ChzWOMzXu2ElQre5MyjL7UpZdidE0ERWVigvu7YOdu+GLp3hjDOhoACys2HrFtizB3bsUJD2MePQvE54E+zNQJfQ7SsB+RFK2f0eYgA9FU2y6UXlhfqDNh5ilkJ8JGhNwCEY5ofHb4X0E3SdBUPr1vEr3n1V/4bwgtmzfS379+QxeNRkYuISm/vej95eUHRwL/t3b6V7n6HExicr4/f/CZVf+BpKSkoYMmSIdeDAAT0qMkIO7ddBXH3RWP798mcsmf5P/vyX94mNz61+9sUXY0pKi/X1K2Yz4bRziYhOCqBiZf3Anm1kt88JDbQ4nqPECdO5G4sULUb39JbPVuyDTxbB4QqocMCSwaAN/pVjp0Pee3TZYbJX/8CWKZcoTI6m41wIMf9R3AENEzk+Z0BY+UvQdoI2E/RvwewJVi6qyyTsDEeDvkRtE9QJIaM1BJVILieDjbzKZ9QznJsE1MnHEe2d2L1vR6TqiO5g7IYvhv3AqeMKoTYWnIJli9bSKj2Z7I7ZSK8Py7IwEmJZMGsldz32ibl5+16tbdu2WlRkJN27d+OCCy/A6XDw5+tuD3718jXGoLF9hF1eg6a3tDrL8JMKUQVbwSCr1+Uxc+46PB4nEW4XZ00cSGS0h9T46JbUr22jOR1s2rqX3hPupU1GMunJcaye/xTxI96ipoMHHv27CjI8Hmifo4KU1E6M6CRZ/MWT6l7FR0NtI9g2QdNk1sJNnHHqQGTAouhwKbv3HWTE8L4Yx9P1IeNfcOAQO/fkM6B3ZxKSE7EDgV+UlTqeWFKgRwZYvCaDUw6MhBvVupA6zURP2m4w3pWwVWKPEph3i1AGwFJB1Y4dcNppKti65x4ggJjpxPm6RD4AgaECLSCx5wrIAL2PxELtQ9clcg1M2lrCHZl7GJJTjic2AKYGQQ1pi5N2BEzLxoiL4r23vyO3XQZD+3VszlLYlkSLdDNn1mJ6dM0lPS3phAC+kxXbVnpUeNxUl1awfOVmstum8+y7cyivauDSq+8B4LzzzjtOQ4UGZntY3Qj7K1UGOvzCS01Q1r4zifm7qczqwHFddXGC/x91hkpHGVE/fa2NtbCmBErSIWslXDhYlUU0VRJC0zSEsDm4K0jx5EuFuCwBbrgXhg+BkjLE/v2YAzpi1NRQoUdQUlRI3/4Tjb53vsrODWt5YMk2sjuNZ0jbVny6xGR6vkl5pRvmfoZ1cQ7c/o+Wkyk7jHjmY2SfVPTkJOSmnVjbV8K118KAftj9++NwDyRYA7ZDojU0UWoaRC5egKOimmB9IyxbgrQsOLAXsTMP0XcQdttUxN/uhO074ezTkbFxcPrpzYd1PQ/2Jgh0QdFgusD1HQRqfqUiPp5EAOeBPg/M+S0fJzwH/+4FndqoAMAzGHq3Us/Mbx7hjIuWH0P/9aViFbFKLCuIbdvkdu2PFDorFs1k4PBJxCemNhvM8L81VeXs3bmRzJwuxCWk/H+H+AelzBMTEzn99NP1+fMX2Ka/wc7NSteDfq949oWn2HIwSEVlkLleZ1S33S7t/VtuxR08TGRKdw5u+aQuNrNtRFaHbhHu2M4UNenERUHB7nz70N6NIiOzneyUm2sZrggHhFktVdvkke9e71bq3yOf65D26geUDT3l77BUA21gaO2dKFL/KTnyOyEbIdtA4HLw9zr686O+I4EG0L8Dx7sQzAD/WUATUBXaZ5iy0gSZDFqSxFEhMbGRaDhYREDM5wqe53Q5nH8TwEE+kuFo2n6onIs4MxM5up7or7LRYqPB78bn9eJyR6NrGsFgUN1ECTYaNV4fT77+rdy8fa/mdjnFO++8Q1xcHLqu07NnTyoqysnOzNBXbdgne/TpIDwOHWlJhENHOB2KFta01A0OBNBT4vl6zlo++nIpG2c9xZdz1zLtuxUsWLaNC08fwtUXj1MZECmx/EHioiK55KzhBIMWf7n5bJAag1tX8/3CbTBiJFRXQXo6/OUvcPPNRNw/lQ7Vc5tvbbCsGsPQEbpOQ5OfM69+khlv3MNZkweSnp5CaUU1GzftpH+/7kjTanEgNQFCY9+eAnbtO8ioob2JiIr8XYz/kaJrEqdhEZTaj9Lwok5i1YMdIY5u09N1aGqChx9WWYDx4yEYBIeO5pVoOyX+kpAjJQTaaSpPYplCOZ4GWJZADIRZEWl892U6f63aybmZB4k0ILdVPcJhH90++BMiADsQJDMzjT37D9M1tzVxiTHYgSBahJv8XQeIiYkiLjb66PLFr5Rwmclu8hIfH8Np54xj//Y9tEmNJT0l7qhtT4iQqr4S/vQGLH5AtZQKwHS6ONh3BH0/f4PKrA4KTX+kG2SDVoyKTENAnuaXsgnFWd9JpRRtE6TvZ7K0fnB1g4NT4K/PQ0IUjO8eUmIhzIIQGpYuCFabOM6ZjPl+GmSkgGEg//Y3RKfOmNLGGDeOqDVr2fPIs9TufYPqUb2pzLoSDsLbuyxoZcBk1WoiL7sE7nsEnK/A9derdFJKBvaTdwN3q0Dj6qvg7XcUiK9DDsybRzDRAW0SwchGvvsG5a+9TOX+Ypwp6dgJrXCPuBCJQVP3/siJ0cgfpsPQy5E9L4WJmuI0B8XUEgScOnY++LNCn7tA2wpWdQgJ/RvWiRAgJNi5QBaIw0B26G+oNRhZAVeMOvp7AVNF964TrpzfJpom0DSV1pa2TYcufXA4XKxYNJNBwyeTmJLRnNb2eZvYun4ZSSmtyG7f9f87xD+0ROQOh4PnnnuO2bNna3PmzGPturXm25+8rjm6BbQ6T4Jg+z7EA/c5bpy2VkYEIqWrsEFMmHABDO6fxKplkNxZ0v4sMWLCWPqlmkx/6QGrtKhMeMxC+/tlK5uSI/Wo1OREGRUV44DQaNQjsBjhkuORz9WyleMnpXLsFj0CYx6CRRZoQ8AOr8Ff4gR4FBkfq8FIhWAWBHPVT8tNOeY7NqCDthL0p8B/ccgZrkHplyPtjQY0gd0Zgi6B6xuBKNUImrXYLAIC2KgRxem6gzh2UWFpUDEGYX6HfHUp+rtrqKxI4dPTJjAkM5rYSAvbH6BtZjplZVXUV1YTFROFw6FRsfcwPm9QAqJP334iMzOTnJwcLMvCsiy++24WwUAjd/zzLdG3axuGTxyAXVNPXU0DO/ccwuNxsj+/lPSUeNJT4qjbW0RFdQPdO7dl8cbdFJdW0atrNsvW5PH61HkM7tuBzh3bIoRAj3SR1S2bqR/9TV17TQM1pdXcccUpbDs4WxbuKRFccQWUlsFf/4q86EKa/jqI5Q8NBO0zpGXgCNNiS0l0pJvLzh7BzHlrOfus4ehRBn2H9mbhd0vYtSufjp3aKVCgrnABu/L2sT+/iInjhiiWO9P8XY0/KOIdJ5KAEM06v3lZJAtEskTfAyIMAGxsUpP9Pv8cpk2Dl16Cnj3BDCAqdCiUyCQFHgyvF9sSRwNMQYFPLdC6C4zuNo/N6cxj8zqTk9bAnSV7uKrrPpyRJjJgnNAJCAcpussBQZPR543miQdeoaSihrjUeAhaNDQ1sXnHXkYP74cnyvOrCX2Oe+80DWnZ2PWNtMvJ4u/3ZnLvw+8ctc0JtaWdCns8MHtHCGEZvihNo6p1NnFF+dS0yjoKCyAqwXEvyHoUIjwAwhlSFLaqI2pnQuAswAMlkbC/FDKTjw8psDUwq8Dpgf3nw22fwAdR0D871B6E+rfEEhBtqF8G9GkeMiEfeAD58D9x1VQTWVyAZ8dWGvtmsve00yA9A10GINGB6K0iRlvqSJ8J2V3hxuvh3/8Gp1Mh9z0edRNMExxOuOpq1ZO7aBHMmaNOvrwGMbgfPPEYck0piFH0OT2Cuo0LKK4QVn+9t9Z/+GDh90HBwumUb9xBUtKfYRbUuYPsyYXSXINAa0UihAB0tVhlBOADx0Lw1/6WZRHK3Amwu4MYE8qYlUPwRqAGZBngh7jIliE5Wqj2eiwl6/+lCE3Dtm2yc7vi8rhZsfhbBgydQGpGWwIBP+uWz8HtiaBr7yFYVhDdOIkpIX8wCSuJwsJCGQwG5YABA7SJEydq991/H2lpcb7Fc2a6nQ9cI6zEvsiP70NvrBWZF53Jga25OJ0u5GfTpThjiiB/n7CLHmfJnC9YUhOAoNcR/9RK6h8ZzcufL3Zu+fIV74jz/uK74pyz4xPjBNkZR5/H8TA4utaSiZdS+cEL/wnj/gkLgsBQEEe24v2UIxDaJlgJcXvglHWwLhuCN4MIoOhb9ePsI5QjF0HQypVhlzYKj3KiRI8O1IPdCfyeRpxfaxiHVhH0TyeKATjoQj7FpIl0WhPBXoqxq1sh0q9FdASL73BuPY0PHvuE7IhHeejW/tgV1WS0a8Oe/YcoraghOjmBoM+HHhWJpgmRk9Ne3H///c3GPxAI4PF42L59mywqKpK9u2WJ+ORYpF9FyAcKyhhz4cO4XU6qaupJSohmQM8cXE4Hvbpm8/azN0NaIjvvfpn01Dje/vcNfPTlUj76chkP356OIzGGNUs3IyV075SJrms43E7en76If738Fe2zkkV5VBK+2HiorlSYoieegilTKEwdzIqKjgxJPtBMHCNDoNkP3n8AbKg4cJhN2/Npm5nK6InD+OaL+Xg8LjLbtyFQ30TergMcLqtk8pRRSG9A9bD/jpgbAWBBhNsi0emn3jQQumyJfCTIRAGpAqPRxtJswFBp/6nvKnD1kCEQG6sWriHQF0nkFgh0F2gFIJpCejVMfHLsOtZD82xsDX2CRJsA+4OR3PhCb+oaDG4YkUekkM2q+iiRUk2AtG1qquqoqWuiMb8El8MgKsKFNC00j5NVs9fQt0cn1d75Oxr/5vsoBLoQyGAQW0qSkxKPctmPr85Dyr78fLjpUdBH0tyKYzpdFAw4hZ5fvc+aS24+OgtQCrIQAuejUnOheo3wAvXqhosPUMNjHoJ1A+Hej2D6nUfjAMLPwR8AqzEE3mwPeVPgvqnw/QMh5aQpetBtTUBrkLrWvCMJONq0Iu65J4mc8x3107+kqLwR7rwekZ4BwSCW4WwZphO6ZjwGBAIwapRKJZ1/vurZv+wyZfwjPErjDR6sfo68bUvmI8saobgjQy59kkBmE3/pt5jSrlU8/+5c+ltvy/sGJov4tCy44Fzg3Obvem2Nxz+Bd+ZC0V1AGtAANKIAehHANLAafnuWSDPA6gbydNDyQE8GLgW7LyRNhwFVEAMMP0XVhU8E0vxviOLPtsho3R7nKA9rlnxPz34jqSg7hOFw0n/YBCzLQtf//zP+AMFgEKfTyW233SY3b95sd+/eTUycOFG+9OqbwltX7Yzpco2wIjthz38aHngQu/AwER26wOSLCaS1AX9AMGAwBCxEn3PRu3VGy0jHKimh+gIPwncpU2+6Gtp29Gwh3fPSd4I+KfBkd+jbA+JP0qETIpTMs2H+QzD5MVgSgMZ2qKmQcPxsQPgzDQhAwnS4KBHOvBs6vRza3EBRmh9Pwg7AHhDfhsYW+/lpamENhFcitgsIVBJsVYdWUQd+iwha8bZ8BSfdGGlfh5996LRGCom9w0TzgDa0B+bkh3Gu/oB33p1Oz9YaZ4zJQdqSCJfiI7GafDjSEnjk7tfl4lVb+eSTT5gyZUoz25szNJfhssuu8K9Yusjx/tOXifZ9OmOVVSGERq+ubbnmwjEsWrWdPl2zSE2OIzUljqvOH02X/h2pLarA3dDEAzefzSffLGPVhj24nQ5OGdyVNZv3kdM5k6/nrqW6tolnHrwcl9sJQpAYH0PX3FZYNji0Sul74Tkh4lKRSU4wLHjuXzSceTFnPZ3MoUcCKgMgUZ0BmiBQVoOm6+w+UMy4Sx4hMyOJNfOeYeLYwcxZuArDYVBWVkl5ZS0Tp5yCVdf46wh+TkakIMpjkubwkV8ZiUgNfR62N1Eg0sAuVUA7QHVlvfIKjB4NQ4cqR0ALpaFrFXjU6iMgXyK2SOQg0aL7acl+HlWm0sCyBbalHN6Iuyzuf6o7PTbVMmnIQawGF9oxBVmpCarKaygpraagsIziihpqahoYN7IXGakJCMPgwK4DREZGkJAUh9C1/9OJjGFHYM6SzfZ1vU5rdp3V678faBf6xEJBgJOAdPCWgx1x9M4sw0Ftemuiyw9Tn5QOSAgKtA1AFio1FyT0IoJnH5hpIF1gDwLaqK9o8Rz3RdZCDyAlDrpGwPbNoHcDIxE8HdSI2oSQHfY4oZ0TKFXeoXQZCNsirqiA2MMFxBbup3D4aKou/LPihjBNBYgKoaePG7U4neDzwfDhcO+9sG0bNDSofn0ZyolaNqxfD/kHEE4n2qBuWL3GEr8Bei8v5aVh81jveYXrrpjPk3+7XnqcmiYiUoUzNhN/UEdKE6RE03WWbddYXA7LHFDfH4hDtWfNADuIQv3vAfLA/C2kPyEv14oBLlRAKetesEeoP0e+D39Lg1svO+Z5/I+Mf/PxNR3bskhKzmD05IuY+vqjRMfEc9altwA/U0b6g0u4BNCxY0ctvyBfrl21VC75Yb49qEeuKCqJNNolLmHFznOovfZuxAP3kF5TSWlRIWb3AS1rt2cP6NgBee65WLSQpQi/hbzxFoxDxdgVZYi/DUEAG0pg3LtwzV544/yTd/DCToBpK/DuQ9Ng4dewfBSqjJTQEigc+R0pgc1AMURsgbPvV0Gpy6VGQ2hHf+Vo0UBUADPArEV5pl5+El9EBOjbBMYMCykzseVWLL5FkECT/J42ZNGRW1gtv2MNpTi5Fq+QCAzsthIa28A1D8GDp1M4+nqWLVzOxBHtcGsmuR2z2bM3n/KKatJi3Nxx82VNC1btcjY2NjnMUAo83H2h6zrffvO1aQfrdJ/P1O1GL0LTmoPN5x6/lpffnEnnnFaMnjQIXA6oqCFQ38TCZVtZuXE3p43pS0ZqPJNH9SaxaxazPpzL8m37WbxyG489cjVEetSgI0vVXC+9dByXnjeKWQs2cs41T+LwRNqOC/+uBdb/gP34M4gyMM66gVSrwH7hnRRxx9WThRAahw+W4vMHaJ+Vhi1hSP/OvP7EdXz69XJ2bj3AqFG96dIhm6mffk/fXp0YN2UMZlUVxq8suR1BePUTGwkiHBYpjqAidQo/9D17QHNA+yyIs7FSBFaKru5qh1y4515YMB9mz4YnnwqllwktNAkOsE3RzIcjmkAeQJWpc1EMq8eKppIPQoK3SSMj1kdCREDZHFsi3I4QYxUQCCKS4/li6nyWrcvj4jOGceHpQ4lKSwBvANu0qKttYMv2vZwyvC8RUREhWstfdSt/kcz/4Vn98y8rmn9XT+9NIDzWdwckr4TiQSradMVxBI+uEtPlJn/AKfT4ZiprL74JgQ21AsdH4BtBs/EPZwCC8WDeB7L10fuRoWd2rITpPbu0g+/Ogz+/B+vroLYO0qohMQJ8IW4cQ4P2LhvqNKSAmJIiYksOkpC/h7Lcrmw+9yq1z4AfW2iqp/5kLIbTqYAjZ52lADQLFypwnmmqzIChwcAB0FSDfPhZrFWDcLtv5O70Ev5y7U7KS6p5a1YF5XVSfvjtZis1u5+2afVCUXjgPDp16YVtawRMDUOHW1+B7UNQ43WTUaCmx4BKCPZBZVOmERqk8+tFC9f8+6JQ0zYwAlWucUJ0Ptx6hUqigFrPjuM4aP8LUah+SVVFCR279Qck61cuoHP3AcQlJP+oQ+D/F3GEHNHHH3+cxx9/PPjcM48H33/3rcibrxivDRvQjeQMD/+YnsqjaY9g6dB6/idsPvfPWCIcLWgK6QxqvYbRmLpEugwIBDEvvRSmTFFZAqGhpQn0B+DNJ2HCSjhn8MmX8kUIJxW04J/nw00Nav2uaQv5nYBsEDFHlAx9wA9w1gqIToL6ZKiuBz0W6v0hnRzGCh0poc9ENeiPgdwD9kjUu3CSj9mUYEoJwothb8RkF324gOd4nwbKmMlnpImxVGCDtJHSgFoBXUBPCBIQvRh832fcPmQDnhgI1viJS0+maXMetXUNMk3XhMPhsTp26GB27NjR0HVD2LZyv0K1cDs5MUr06tpexMVGockwbkndadPr56abzlKpTMsmWFyJw+3CGeEkJSGWeYs389I7s/D6g/Tr0Z63n72ZU698gt2LX+Db+es5tLuQlJR4nA5D9dwGTZUSNQxOGdiJ08b2FfmH682tn32AvP197Lvnivgijxhw5n/46h6PmZGQJK69ZIwj0uNm+bo8ikoqueO6M9S5Rzi59sYzufbiceBxUnygCJ/PyzlTRtDkDeCvqsblcPy6VKQmELpamyfSxSLEHe8yLGIcFmzYDUsWQFkTbFyvaNSzMxEdLLQndKwOoSi/Uw489SRccB5s3AzduoaOoSNbC0RroYKrdNRaBdggGT6rkkxnPctyUikYGoHIlMjw0IfwKUrQNIlZIuibUE3rRC/SB0aki4rD5TQ0+RGaoKy8BldUBA2NXmpqG1i9aQ/9eubgrvciA0EcURGsXrCSPj07EhMTpZ7bfymICRSUcmTtTDkAxaHfLIhZBP8ZALPmwn4JMZ2g7Di95pbDSX1qBjGlh6hLaaVKAVKoPQZb9iejINgErpfA/zjqBXYCDpCBllb4YyXMX942A+b8Bf42Az5aA/QIK5dQUVLTKdI1HI460oryiVu/HW98PJvPvBwAzTSRuo4MDYQ5adE0ZeyzsqBtW1izRqWV3G51cgdL4UAhJPUj4aXvyXx/Hue2WccdUySB+iDJ7XK57Iz+rF670b7pltv1c84+W1SWFrJ182pat8kmKjoWoanIq1NX2DMRzPA88zdDz6i3ukw+Rxn/3wD8E6D6+/8EohxF9nIqKlx0AvvBYalb6tT/YFF1KFqorixl1/a1dOjSl1aZOWxZu4R1K+bRo99wUtLahDb9/2/oD4BpmlJK2337XQ/4V69aEbz7kfdcD995EadNGMI/Lt/O7n/G8k1aEuXVrfFtcIBLQ3SUSBctjGGOljKIcVgiY22sSAd88imUlMCX05EXXKCSWBbo98HFD8Da1tCjzcmfa7jbI2BBahR8di98tgY+nQ1rusDhLDCyVcTuWQ1XHYRnQ9S+BGD5Ishw8JPjgQltq80GuRGsC4DD/Lhoeez7EAIfSy3kNFoCITsi6UsU+8kiAx9VPMX97JUbON24iG+lRqEpES6QFYWIYCVaWQ+6bvTz96x82rQOIOs0dEMgAyaJ8TH4/QFhWpC3ZU3M7rw8s7auQQqB0EK4FV3X8Pu8DZ9P/9Jz26UDjVbZGUiv76i1qQlBsMHLnt2HOHCojFPH9SNvVwGBgMmQAR1Z/91T/OOlGXzz/Wq27TrIBdc8TWSkm937D9OvZ3vy9hWRmhSL1+tn2rSFTBrVmwavj5nz1jNpVC+evP8Slq/f5Vi0crNtrrzQxojSTEOYbYsyxYHt9zqzszL8umEghGDyKX0wQ6jPstJKtuQV0LtrO+LiItmzdTdr1u+kMSDISElg7aadjBpcw9hRA5AhvNUvWTwBX5CGpnoSkmKRISa844ot0V0OIhoPw7SpsPlzaN0ObrkZzj0XTBMrw4EVxrNIAUEb0WQhh5wCs+cosrVXX4XkJKyUfeiBQsTansi74tHa2ggbZL7g/iF5TJ6yhe/ndeOhj7qz8axYrG6iBR+A+lcCpMJuXyTF1Qat2rko3FXKouWb8XoD2DYITdDQ2ET3zm1JTYlj6eqdVFTVkpgci4iOZNeW3cTFx5CcnIDUBML6baj/XyLGMf3Z6nWqpOVFsqFfW7hwIJQ0wYp8WLDhx7bHdHnI738KPWZ+xJpLbkJYNtI+zoPUQLiAMtAaQuUEHQhA9AHoHyo9nAiEZEnl8D9+DozpDRXVgJS4Hcqr8/p85O3Jx1NRSMLhWnYNn4AvPgHNMpFCwz4yRfVLDYNhKOV65ZXw4IOwYoVqKZE20Z/vRNx9Kx379+GSa67gklsNkiJqkI0QxADTT+9u7UiIi9KmTv2I8WPHkJjaBrd7G3lb19Cz/ygQDrYWwkFbTbzFBtEAYmeI7S8CxHyQxZyABPskRQORDvZFwGHQvCB7gn1TKDPWAO2nw0VDVPbl/4Tt5VeLQof6vE1sXruY5NTWtMrMwQwG6NF/BAf2bmf9ynn07DuCjMycUIvg/3/ZAMNobmSKTUjLMhualsub//aWGNa/ExGxGTx24x4SXvqBYFQWwaXlBIOVfLa+NcE/CZWRCksolPd8Z0K9Rv3lwCP/hMNF8M47kJEBw4YhDYFlg3E7nP0SbP+ngpqcbLlHoBxFWyrs0gUD1M8HS2DGbJifAKmH4K5ecMftEAyAX4OKshZciSlP4NOGeAC0KjA2QHAAalb1sQ6DQJ10+LrDGcUI1IhsQ4Ip0EUlJpVkkcsZXEJr0hnNGfSgI5blxaQRiETESKjfjr7xc4LLunPfn5OYMBrMCg+GEQrf/X46dWnP6tVbKNtdwJlnjGDGdyv0F194VnTt2pGstlmYpik1zSFKigt8W7fvdiAGOaRDRzYd7Zzato0jMoJDxVXc+OCb3Lb/MPHRkezcV4T+zXJuvXIy//z37axZdz3VdQ1ER3v45yUXMnxIN8rLqlmzaS8B06Shyc/HXy2lR6e2VNc38d7nP9C9YxtGj+hJu67ZXHbdmRqgNRyu4Yk3Fjd9NWu59tZnkzVhB/SISBfStImK8oCmEfQF+NdLX1JUWkVyQgy3XDGG/IMldO6cy5/vepnSilpcTgc5bVPZunU33Xt1wvYHf8RweDyREoTboKSonG/nr+e6q09DnMhhF4C00T0eHOUFUJyHeOttGDcptEYspZ9DDh8AukBUSpwbHNgj/kTw5n3wr/9A795w//3ww2fY772KyP0C6e4LCCxNlRk2HIgnalEnJg07SOmhCK7c0g+68aPOAwkQBfVGDC53LEFZx9sfL2DUoI706JJFMGiR2iYFPC7w+SFgMrRvB1ISYxG6TmV5JXsLihgxuBfuSA/yv5T6D4t9zDxlDUBrpPkFqpsAkz6GpZshLQLyi8FKPP7OTJeburRWxFQWIg2BFn6jjzoi4FERh+NtdQxhA/WQXg9nDlObnQhHoocwGkELxraTXNhXeZylZWUsXrSA2oq9DPGtpSOt2Jx1LoH4BLSAha0byBO1pMhjfk4k4SxAhw6Qlgaz5yDMIAiNhIyBXHH7ebz7WBq3nVlGkignUCewJRhuB/t25LNw2Ra8fkts2rhBfDh1Kps2bWLQiEn4murZtWsnLsPm3o8la7uByFRPQ39X6TGRCBwAfQWIxp84x58TAdhgTwk9mj1gPQb2vS23wnofHhoL/5gY+sofJIAOs/wF/D7WrZxLZHQc3XoPxbJMDIcTy7LIzunKwOGT2LZpBds3raSxoRYhtGa63P8fJEzSs3XrVurqar29unelrKqRe244gzYZiTitINkRfs7stprXr9rPO9es4sPbf+D60gPos4+zgCV4h+roX9m0meWF3V54+23o1QteebUlEybAnwql/eCF2b8O66EJ1Rli2oqs7vIRMO1OCG6EqC4woneovGkokG/YH9d1NdjnuIcMGXqxBex9YEfz4xqFAEzVGaCVqVKBth/0XaDvCDELhkBVNnPRxHccFtUUU0AUcA7n82fux7Lr8crvgRpIENBtInbWg7RKWoK3bDlmlQcjlOkWQiBtGyMqEsuyafD6sYXkw08fFyUFW+25836wobkP20qOtF0alg6aAnkdO4nN0PFV1REXG8FDt53LXf98n5SkGCIjXDz1ypcETROkH6fDwcFDFSTERnHh6UOIiY9hf0Ep7dumEZkUR2p6InO+eozefTowemxfNq56jdFj+mIHLcyaevxFZQSKy1m8ZB2PPflClNVUEjGiT1tOH9PdOLILwA6RAc1ZspmLzxjK9rz91NY3Mum0UfTv35mteVPJX/kK33/wVy448xQOHS7jwN6DaB7XSb5vEoRGSVkNcxdvprGiFoEIGaVjtgyB+ssaHKzb3YiQ1di2UCljn6/F6RWh9RLO1ptgHAJ9V7kiOUpv07LghAMsDd2hoUVp2JYXiksIdrX5m9GViVtH8u+FPVlZnYCW/qNTaj4vrR6a9m1m9+7tTH/zezrlZNC/b0cSUhJITYnDavRillVj1XuxA0GysjLwRLgJBk1Wr9xE354diY6NhmDwv65rjWOGMmmg7ku4rmZ2ggOTYMps+HoBvLAGrAGhrY85WdPl5mDfkXSa/xUyVkCmbElVh0WCdEOgFVhLQZsVOlYMFGTCrLVqs5/KgggBhmYrLmg0qitKmf3tdC4893S+mDGL86+5jH8M7ELr10zsQxLh1H8yYhaCFk76cAhyouMbhqqtnncebNuGeOtNNYxDc3DnVaeha7Hs3FGN7XTj0CVSSjSXk+07Cli2fhet0hLkqadOkfc/8Bd52WWXsuiHH+g37FSqinay81A5PrdA6yZVTX4+sAyCKSFdMR3MOvjVNNTha8sCMsAoBM5EdRgEQa8BbR5MrITz+6iU7h/E9jen/YPBAJvXLUHXdPoPHa/a/XRlRXRdgQMTktIZM/kiKsuL2bByARVlh5v7kX+Wx/wPIMGgqpldffXVPHDv3U3fff2ZefqYHqJHp7ZYIdKL6pIqXBEZ1NdH4q9203QolhduWsMpiypw7LMRR65hCWYXDetS6Lq/lu5zvOiLD6C98QZcfgXNfPah9dFwBjzyAxTWqxLQrxFDCzkCFhwqhogusOs0uO9V9bkVKi9FhlhOt5QBCT9eb8IEfTdo00B+qbIEP0oTSMCh1q9zFmhfgv49GFNBfx/010AsAGwFQtLkhXi4lioK+IZpbGd/CBNmoxNLQCwEHke2zkdnP3ZSOhc88QWXnjsFQwsc1aKsuPsDtGmVii8QwF9dR3WD18rJ7WC3adNGAOi6Ifbtz298+523PT07pznbZiSFxvi2XK20JRg6mmEw8PQHePvThfTs3JZLbnuRf/xnGhLB/KVb2LZ2F+OG9yApIZo5SzZz1yPvg8/PgUPlzFu6hTmzVillEbQxvT4CNQ34SqoINnhDA9R0XE4Dp6Fz6uSBPP3gFfww/TGmf/WI9ua7DyibHDonTdfxuJ1075DBl7OW88GzNzNoRH+sxibMJh/+fYeJiPDQrVs2ngg340YPYsvOfZQUlaK5XeqaQo/neA6BMHSC9U3MX7aFLXkFFBRXIhKi1XeOeU8lgNvNjk3bWD13NsaZY7B69lbYLOdxOMZDFyGFwHTbWFnJkJislHx+Pnz6KfywDJwl2AffRNQUwKvPwrPPE+xqo91o47tF4x67O2/ktkMMabmWZgn1ntuzyuiy+k32bf+WOsvN2KFdiYyJxGryIS0bXdPUlEddQ9M0TL8f4XaxZf022rRJJyEhDmkfWVv4L8ox6lBlACKP+MRWvbaNN8CZi6F0NJB44vJ5IMJDdXY7Ejfvw4zW0Orkj2G9JhCpGAZ5A2QeYIA/BvbkhxfMCc63mcJUw9tQx96dG9m1bS1dcrN49MnnqWq0CZoWk4b4efIUg4RPBVZJyEE8gRMgG8GuVO0j4fHeIhQp/0iEpmqrw4fD3ffA/B8Q/3qY2m2bKa/zsWztNsrLK9GcBlJK5WE1eDn9rGF8Nftpvv/wQVFfvFE21tVL28Z3xZVX2i89/ywiLpWnX9/AmtYB7DSBnCbhKTDbASnALKCW31b3l6gWrQtCjvIe4AaaFahzKvy1GL55SGVLnX8gAr2wEtm7cyNNjXUMHjUFyzLRtKOLwJquq5qr4WDEuLNJTEpn05pFFB3cC9BcEvgjSzgFmpSUJN96++3EfXv3uq6/ZByjB3fD6dDB6WDdxu10bJ9BdJQTl2bhcVoEqhz8/ZKtxE4LIoOKNCXMVS6CkvorHOw0ork2p4bEv74u7do6SIs95uAgLDAvh3s/Vr7Bb7lbYWBuQx0YDmiVoD4PMd1SWaPmgPxrGzA6RDR0BBhYFIHzYRAfqnKh7IV6j48AYjW/DwEIVoF5EOwdEPBBQAv9oNjcAHTiMGR7kLCa+exmF2Xs5wfmUEsQpzwHHCYk7QFrFyx8moPffkBNQy04XSFl3fKspC9Idsdsyitq8fm95K0uaLQdiVZGWrIApJSSBXO/0W594D/i/CnD6dorB7vB27wPy7YRES6++X41b3w0j9PG9uVAYTkl5bX06ZrNwJ45RHhcXHXPq1x9zVPEx0Uyemh32melsXbzXqZ9uxKvL8DWvALu+OdUe8Om/XLX7oMYiXE4M5JwpyXgSIlHGBrWEeduewPcfe+FpCVF4T9Ygv9QubqlUiJcTvxNXnbuzuf+60/jgxfvoG37TOz6RnRdx3A7cXmceJt8BL1+bNPEMHTGDu/HuvXbqaquQzgdChGva2gxkdi2GnQjpQqMMAzKKmpZvm4XEsm/XpzOgX1F2NJW3z3CyChyHZ2mihL0rm3Q/vqoGqUuZYsDexyRLoGVKrFbR8CVN8H118IXXygq4MoqZFIcVvV7WM9eA+/PgI65IFxIvwRb4Jhio02RWK5jAIA2CCz0UkHcwmXcOCqJe/9yJdfdcCZJibHIJh+6rv2onBHOGB3eX0hNfSPtslrhdDt/vaf9O4sBYOertLwM9TxKW7WKOf4Z6pQ4Nv0WFgmm001hm+H0efh9VpTdgtZL3cgfpeuCQCzYbUD8G+RbgA0ljSfYdSgCFEJgWRYHD+RRVXaYmuoKeg0YRWJyOv2Hq21tCdLWOXeYGlz04GdQeSbobUP4KO2I89gICVsgMQ08fih3QnEU0AO0MHq5GWAtFUgjaEJtJYwfC3u2Ydx8B/XOmUz1juH5e88EZySypkFxfEtAE1j1TQSr6miVGsf77z2oZbR6g/nL98vExLbyhzVryI+7jf1JS4nMXoW/Zgj2SgN6gkwDsQHkTo4c2/yLRdNBtAqBpzyg7wdzCs2If7zQugD++XRoLf6BSubN5Dj5uykrKaT/kPEhit8fv2AQYrwKTdXq0nsw8SlpbN+wnNqaCrLadyEiMibEHij4A+U4mkUPpTMfeOAB0bdfP7vo0CHz9WnLeeOTeY6XH71GZLRrhc/nJ8LjVsrPskIRrGBYRgnXJ+3n0ZmdsXsLNc0x0g61b1gUjolk06JlVK9+UmZ0nyDKHR2bMbphkTp4u8Gcj6GoEVI9P6ljf1YiPNAzDjbMA19oPzV1MHMTLD4My6th12QQ7Y9Yeybq0VSAWQ/WZPX/H3kjBs3sonaC2odWpUjDsI7dXoEJBPsJiu9wiFiulA/xZzmJe3iS93mXDuJzLNkdOoyBNJAOP6zexsGZ73EgdxyJqZ1+RHAjkaAJHLoufV6/wJ2E0xWBFQJjCiEoPFjoToiN0DrntEY6DTRChssbIBg00ROiufXv71JwqIzJo/uga4Kismr69WxPRIQT7zb1lBxuJ5fd9iKXnTOSiso6auub+Nu/P6VDdjozpz/MZdc8Zz/47NciKS6aUf22aR6PU3pcTmlLW5w2bpDmTIjCqmlA19QkwkB5DYau4zrC4Aq3i5KDxRwqKaeuvoHRw/qrCN4fUDpN0ykpquCDGYvp1jGTyWcNQ9Y0IKUkMspDvz5dWL9mC0OG9SXC46KpwcuuLfvoPairisAbfSrtY1t43E5OHd2HPt3bsWrdLi676in+fOFozp4ylJhId3PmTwgBPi/+9lOwLu+jhigFbTXO93gSfkQJYA7XFRugLeDee2DCeGjXHmwTcdM/EV+vxl4zD847Gy65VIH7HAI0CFqqTfO47D6GA/l1PYMOryGqXxUNJZ1we/yqAnGcF0ZKiXAYVNfWsWHrboYP7ElkTDQEAsfHPfwPRDkAsSptZt4Y+jRUrjJNWtr5jicCjDdAK3FQtr0jKRO2U2Z1pYUD+OhtkSB0MARYh9RxaxJV6tnQw36GVF5k6IYWHdxLZXkxZSWHaJfbjb5DxgFgW1azd+twOFRQa8P1oyFawl+mwcHTwegYAhuZqM6DdXBJIVw+EhwC9hTCzA0wv0Shl+mBMpAAUiDyDiJffRIGjofRZyAXHcDWokhNrCBRK6O0uJ7ERA39mAWgaxq62wVuJ9TU8/gLd+G97hkjKqGNkIOe5pUDDmrOH0+PAx+jv7WPCmcHbAeIYoHxPQTrfwMWL1SX9Z9OM0hKPwD+d9SjETZo+TB5eAu17x9jOdKsAKrKi9mbt5FO3foTEaUM+E8B+4QQ6LqOZZmkt8omMSmDtctnU1tZTnaHbqS1yg7t/o8HEAyXK4YNG8awYcM0wPnlF180/eOf/5APPv2p875rJ4nstuk4DKM5cpASdGHjr3PxyNkbqX9DY3VlAiU5idRmagSBoEPHX/Adb//lRnnWWeeIP/3jHS7/Kobazvz4nbbAewk8OBXevU5lO38pv0tYpyXHw2uT4bbXILab+mxvEVzxCkTfBe2TQesBBEGGQXzhxI4TNXiqQf392PPU6gEv2FEgU0HLAX218mtbXpjwNKFlwDyCYhOaXES0uAtLv5ZldiXF9h4a2MtWsZZ62R3RCeVwt3dBv3s4OzCSnNYL8TcEiYwwkJZ9VBlA+E1y22WI2gbTXLBkvWvdurWO2toaABEMBs3DRUViwojuolV6IgJYvWoHHreLLrmtFWNlvZdrLxqDZmg89erXVNc04HQYfLdgPa3TE+ma24o9B4rxB4K0bZPChzMW06trFsVlNQSDJt8uWE/p/lJmzV9ljJt0Bn0GDgw8995UkZSUJFu3bmU1NDaIjTu/sscP7yKGj+6t0+ADKVXLIGHj5ADLZu/OfRw6XE5yUjz9hvZG1jcpbpzQRM3qylpu/ttbzPh+NZefM4q22al0ycoIMd1ZpCYnUNMqjbVrtjBqzGA2bNnP+Tf+m+cfvoq4mEj69WhPXLQHEZAkJMZw463ngMtBbX4pV972Ao+++AWdO7Rm8KBuWKEpecKwqaqOYGF9PLS3QmxwJ7EgdSASmtPQDgf0798cxIqHnwFegC92qLJM4UFo3+6o7/9I74Z4X0TBbqxVc3CLAxhaBkFpEWW4kKaJLdU8gaNAnqjM9fqVm+nWpT2x8TGKSvl/aPyPLbUYANpHYL9zzJbiiJfzeGKBtgK09yGY4+GwYzC9St6hIrUrmn2CurUA2Ra0feB8HbyPQEESzNkKk3uoqUkOQ0NogprKMooK91NRWkhMXCJjT71IHdY00XS9+ad510Id07bhkjGQEgW3fQE7x4Poq3AOmgSzA0SlQr8s9b2ebeHcYfDpD/D+UlhXAxVRSvs5K2sJPHAzyXvWEhU1hmjfIXqccg1z168kylFDzx6dSUiMxnDoSP/RNT7blgQCAfK2HyA6MoK46nqee/YB6+JLbhWfbFmliRnD0N0W+x0jyXluCXXpSTSlJOJ6B+w6flvqH7BSQcajFOpOsM8DfCDcIeDfAhg35r9L7XtSIgTexga2rF9K68wcMtq0x7askx4tqusG0rZwulwMHX0GOzavYuuG5TQ11pPZrjOG4fjDDgwK88cL4Kyzz45o3aaVf8CgUbJ9ZpL51zsvdIDEDtghtjkNPG5cArDdPHfXZsza1jz/xWreeLzcPlhSKERSO8mKx7SLrr6Oj998RgBcv0vy3GKB/xSO9vp08HWFL2fATQWqE+hEib+fEymhfyZ8+wjsOhwC5keAazy4+4M9neZprWHR9oI4COwCOxllw4/U90aoK2AR2GUgW4PWAUQ52AYtGYTmFJ4OHMDDW1iyhlR9KMhbeNd2Mlc7RIXdigDD8NlPItiPzMvFwIlo1RZL60CrVhpJnbIxK40QtXjLqQhNYHp9pPfIYcuMNcF3Ppzu6Nylm+bxREhbSrFs2VL/8lVrnTmto3QraEKEm4UrtmFZNlmtkohJiMGurucvD14GQuPFd2ZRg0DXBZnJSbz62DVktknm2/nr+fCLxUwY0ZOv56xlaN+O5O07jC0lWW2Smb10mx0bG8eN11+n9erVw3nt1X8iIjI69DTh1tvvMv/15vLg3UEpThnSWTFphCNsj5uq4nIOl1RQUlbJ4P7diIyPxao9htlPaFTVNjDj+9UkxkWxbVcBX36znMVx0QhNI9Lj5LLLxpPbvg3VtXVsW7cNh9PA6XSwYOlWahua2FdQyrVXTEAGLYRpYVbUYlk2sYnRTH3hFl6fOo+2rVLAUnTCUgqEYXGgLII5tWmI7mpc+EllKcMlImWN1S9WyIEIWtidnfDEJIjaAdddD7k5oUFBJzB2lposKDZsQM7+HKMqhf4D+zNxbAq6Jxp8fnUoj0st6oDqmbctCz0qks1rthAfH0N6espvnt/ye4hwOeCIHOCPxwGf7I7qwXUl+HuEjb2PuJLVSKFTGztM3ThxRGgpJDQJ2CMhRqh39AHAgD99J3n3XrWh3++jYN92KkqKsCyTQSMn43C6sSxTkZj8TG5Sop6n0wHrd8Kds2FlZwi2B0cumJWQvRBe7wCje4SAb1KRcPmBD+bBvn02mlMjwVnCruVPcLDJJdsmZVgNRRvEtbfean4143O5dPbHrrpGv7jzmtO58s+TcJg2Qko0IbAsGz02AnSdU898kJraOgb2ziU5JV5u21VlLez9rF52XSchE4Ow0EHbL5cToZeyq2QKLHBgV/226N9hgHkByPbK6XFuBN8X6l6zEyiHIcth1h0Q6/6Z/f2XJKyYAgEfqxZ9R3RsPL0Hjv7VA35UScBC1w2qKkvZtOYHYuKSyGrXmaTUVkcd848oTU2NREREcu1117J722rv/bdcrE0c0w9EowunDj6LA3sKCVjCNi1hC1e0tXnDKseGbftlvV/g9UuhY9vpnUcaj/3tASzLwkbg0DVa3Q+HnzjOQW3Qy6DTq7D6IfBov54F8tgMQlGZpPU7gsQ7DtNq1g9sOesSNNvCFjraZtCfR1GJx4LVFWTYoAPh1j59B2gfQDAEMzIA2xFyAHw0DzRSj1QipY84MRuLe8kUWbQSH7LYTiMo1dytJvz4xWMg5kPn1lC+Ci0nGTvqHF46K50bL4nBrLBxGEffBCklQaDYZ9t/uuLvZGT3Fk89/bRwOJzMmjWLt99609y+fat23uRB2j/uuZC0jCSaauqpqKwjNTkOt9uJlBKv14/PH+RfL37Bu5//QFVNAx+/eBsXXXe6Spk3+di0dhc9O2fRc8JdbNtdSHpqHHdfewZRES6+WbQjUO/VHIsWLWo+wWAw2BzlOZ1O7rjjdnPqJ9PsQ8v/4zQcDvRQqnX33oNUVFQghGDw8H4QCGCb9o/b+QydupoGzr3uGeJjI9iSV8DIgd1o17ENe/MKmL90C/u3vYddXY8EVq3ZQsCCGbM38NLrd1K6o4Bla/M455wRWA0+9CP2b9u2aj6LcCsyHNMG0TIKeNnadEYfGIl1A0hTIH9rsCJlKPqR8PFU5YFedGGIwS8MBDtGTBMMA+3FF7DL6+iUcytf9txDp4xdmI1OdE0iXA727TlEVKSH1JQ4NTUxwkPRgSJ27NrPoAHdiYqJUgyB/+Mx5SXlNSzdp3BALeOAbZTH/Uvo1C2wKkGLgF6RIDQ37owhdKj4kp2JATTDqco+trrv7hiB/4BEmyuQw8HZEfwLYf11kuVxgnnroG/mNgrzK6msKqNjl160yswNDSGxmpHfPycCZfwDJvTtDF/nwAsfwfcFsKoIGAn7o2DdZhjbU7UZOgzVZujU4JpxwLgwijENLn2Ofz3ykPzqqzfNju3T9VmfPBOMjW3F1Vec65o67Vvufux9unVow7CxfRENXkzLwoiO4LtvVlDb6GNvfjE4on1+Z1ttU0GDyBp6g3Bn56iapebAM9MkXw6lU8zXZM5dyoGqkbQ0NP867WtLkFmAG7Q5YD4YWt9F0G8ejHDBtTf88Yy/ZQbZtGYRDqf7Nxl/CJcEDCzLIiExldGTLmTDqgVs37SSzOxOtM3prCiGbQtNaMd/+f+H4nA4KS0tY8iAHiTFR3ueeW+Zd+Xmw+alp/e1KqoqjYWLVjk27Ciy8w+Vy0MltZbbExXs3rufPmH8ufL66/7sCDE4agBmMIBuONCEwLTA8IBmhkDyR162pjJHBX3hpYVw37hfvwp17egof9oqIAfsIwB9UgNRBtrU0NCpSajZF75jDippIWQxAEuVdwMSCKprOTJjJoSNEDaWVUWN/AbYS7zsTluhES/KKZWSalIgyYXQBiNlBgk3X8/QqDVsvP86KireoN3lVyLEQAR1R5+MgIA3iKtDW1669ml7X4ktbr51tJYYF40tnPywcAFr1q3XRg/uIv7z4GVEZiRhV9cTGeEmMiYSTAvbsrBNm4jkeCL8fv79yh0sXr2D2JhIunfOZMbUuaRERzJ8bF/qG3x88s1SDpdWITRBn67Z9O+Zg9fnp6pytaxtsuW7738kx48dpWVkZCCEUCVRKfF6vQwdMkT78ssvhFOXiDgHVnkpFaUl1FVUkZXVhYysdOyGJoQQJ+jll1RU1bNt10EG9GxP4eFKisuqefKpa9m1fi9zFm+mdPchkpPj0HSNoUP78NrbX+L1ecGSJMVHcc4Fp0BN41HGH1qwO1ajD00TP3bGNU48I+JEEgDRgBryc1z9JpTSb6yBjz+CjFYw5hS1WI/LR6A+Ez17wMZ9uOuLCPpqVDugJjBNE0dyHB/OWEJaShxXXTgGR6SbiopqNm3bzZAB3YlOiFVK+YgS3v9CpITPv11JWueJzZ8p7RoC//0icYE5EuIL4P1/QEIENNSbuJ3n4NJsimtqSYyPxZJQ2Qg0lZF2RgolZ9ukx2iIKIvN+TqTFwqKJhZww50HuHxQGWdPzmb0gPOQoIypriHEL0/XOkPDAWMMeOhPcH4RPPIVzG4CvR66hMaPhp+5Qw9101iEZqYLbNtCYHHbnfdpm/MOGhEUUV9VHPXl17OIj4uVAduwTx07WOTmtBbC46S+tIropFjytuzn829X8v70RRKQMz5/3n/2ued5AMc/psPB1qgQRIJlGRiGSV7lGXSP/ZiU2B2U1XX7dSmA0LVYnQENtANg9gHGqLq/61v49xQYrsrhx53A+F+XUK+/bVns3LoGb1MDI8efqxD/v8NoXz00ulRKSZ9BYygtymfHljVUV5XSOqvDEQyCfyxsgK7rpKSmkBCl868nnuH7Wd96pn/xNf+Zuq52w/qNNPl8xqUXX2Bnl5UZ1dWVhtfb5Pr440+AUIQaNNF1XSkop7PZhBk63DwE7v0cuOj4x244Hd59AO4dG3IAfuUa0TRF+/vmfLivFMSfVFtrc5eQAOEDbRuY44EyjurpbrkZQAQqAgwbe7tlH/aRnQGo8psmDIT4HCE3oPMCJkPZIQupkKtAOx1h5yGzixHaYmTTKjwLi3j4piFsvbsvDzw5HTOggGvHXrtl2WjRbg7sOWR/M2+Z9vA/XtQyUt0UHjxATGJrxo0bx7wflsqRg7oKXE7s+iY0XUPaNtKvImwtNhItLppV3ywjPTmBuKp6qqrryWyVxNQZS3jy1a9pk5HEy49ezQ0PvEFRaRVJCTHYlk3PLlksX7uDiaN6c8s1E7V/vzRdfj/jdblg7izee+89zQgZfyklHo+HfgMGS9Pnt0u8Lv3g/CI27/ezpyqZs04dTUa7wwRrvTh+CuwhIS4mgiH9OuL3BxjWvzNjh3bnjltfYOn63fj9AWoCQZJDHAlC07nw7LE4XUspyy8iOS6GYGUdDqdxXJ2mHPXjOx6mFJi2wED+PA9aeD1VSrQNYHURarz5UR6sUClRJNxwK2JTEXLaO9C/D0RGHV8h6jrYNvaIUYiinexYUEZJj2S6a8Wq0KRr0ORj1JBuSNvGtG3soMWmtVvp3rkd8Ylx+GsbKS6vIS0pFneEqyVV9V8WoWsUlVSS1rnls1+tYaUHuBki/wRtEyW7160nL28HF196OQf2F7Bj5XJSU1M5ZfQY8jZvJF730kQ9eXm7aEr0MGzYcKYv/oouqzoiXbvx3erglZ3nE3UIPPEm7dM1DF3/TUYqzL3hC0KnVjD1JnhzDkSlw8TBLds03yChHIEj9oBpSlyRkfzzoQfEq6+9bVVUlFsTTu8mq6qrtF3bN8nOOa1Yt62Q2mXbZH5hiTjv1MHir099THpqArdffZpYu7XAWvDD4tjo+AQ7p0s/uXx7hLB7GC0MRxZIt4623GLv9gnktp2F10ykvvGYea0n9VBQ+xwHuEDLA/sHmqlR3aUwsI3i+jd0dQr/awkbmIIDeZQWH2To6DNVzV/TfzdgYks3iUlqqyxSW2WxfuV89uzYQF1NFZntOuJ0ukPtgseJRP7rojIi3oY6YuKSqaosZ9Lk05g0+TRmzvwmdviQAYwYOYLWrTOP0txmaNCVYRjNUaDzOD3T94yDd/8Gu8pC9fYjL1egpnaGGK9/C41C0ISPN8B9uyDifsUCTh1HKWVtARBNy/yQI88lhCUWftC2A9uP0J3H/tv8Hz/gxJZ7gY1IHkbnTDbzHF6xB+RpCNuL7LAUsrOQpZejpZxBK/eH1BXM5/Irz6Oy2qahyadq0sdErWbQwpUUxz9ufNSOS+skJo4/hUBjObW1NbTLiaFLly4EglIM7Z5KZEYcVnEtGKHuFSGRls38WaupRHLvPa8yYWQv/nbrebjcDnbuPcSeAyW4nA4KD1fw9qcLqKpVCP7sNsmkp8bz2Itf0K97Oy49eyQXjuvr2L5tDwP7deHau1+07r7vQXtA/z7axRddgBCC6dNn2HO++yKY1Kad842Z5UyVKVQm96KmbXumLvMyXfoZmlsGgZ8wA5ZNQmIM079+HDRB8YbdfLdwA6eO609qagId27eiY/d2WJW1qpvFsomLi+b08YPYsHYbQ4b1JcrtQlrWL36vgkJTjJCcPBGqCAq0WokdlMgwd2/YYdRAHBJoy4NQqkNJX+SeFdg78mFQT5U2PhYUFR7+VleP7tYJ6DGYQQm6KidougYNPkaN6RNKvcK6FRtJTU0kLS0J6XSwYulm1m7exxXnjMQdE4H0/2+AgN4mH7HRR0/2+20hlgfsa6CxPMC3c+ZSWlzCRZdczrTpM+jRsycrVq8jtXU7ikvKIEajxlvIgjkLiI/Uyc5sx/y135KUGc+GzwZT9/cU6G9z1wcwt9rgxnTo2xtaRfObxtEKAW4FdkUA104I/SHsMf7M9w1D9fd37NhRf+7Zp5rdA8s0efa55/nr3x4m4PuEyJhEU5N+ffaiDWL3gTJs2+Tyc0+hU+so441XXrYL9m40k0+b5tjaKxYSpDpwAGQA7AyBDAq8/kRKq3qSlbGInQfOwjQ9v+xadZBdgCjV9mdfgFKsTsWOJfzqul1/kMm54dR/Rdlh9u3eQo++w3G7PSHE/+//gui6gZQ2UkLfwWOpKi9h26YVVJUXk5HZntZtVVpItQz+77IB4Y6HTWsXkdOxB/EJSZim4kyfMuX0ZvMZrvceWfM98r6d6B4GLXjmGjjvS2i87sd/lw6oTIadFdDpBCygJyOGBnYkOPqH0vWg3rtQatbxMoi5YPZGTfg79pZHAQ2gLQaxGWQDWD8JpBKoNEIrYB6wCXiFIA8SFI8h5NtIJiFdn0JkPVSDY0AUgYgunNkljZGTVuEtq+OOey9QCqO6AXGE4jGDJq62qWyct1F+PX+V9uqbH2rp6WkEAwkULplFwYE99Onbjz7d2vNVnovejR48jhrlREmJZdtoTgcPPTONVRt2AbB+636SE6NwGgbllXU4DIO4mAgyW2XSOacVQdNi/rItBC0Lh6Fz5oT+dM3NpFVqAnZlA8mJscyYuZSH77pQX7NlnfXy83MC+QWHjOuvvZIbb7zBuu/acY79UddqbySnU3zlxJDas6ja7eRPX/Xns+jV9E6o+Uk9KE2LQIEaGJOekcjVN5wBUnLOlZPAF8CqqEV3Oo7oUJHEJ8SR3TaDDeu2MWxon1/+PstQR2cYz/Fzmjqsz22JZko0tKOdhnC5aIbEmKpjDhDIpIGINQsRL01D+pugazYkpR2dCZBSZQFKyxFRcYgebdjrKyfodaLroZPUNQLV9Tijo9izfQ9ef4Au3XKV821ZuF0OBvftQGxMpKp1/Y96rpavy2Nw346UH/HZL9Ny4Vpc+AWMhNozvEx76y0QEk1AQUE+ZaUlTJownv79+nCosJDRI8eQGB/P4IEDaJ+TxfhxY/jog7dp02EQazNG0uhLwfOYhebU0K/TmNMJzlgHj/8AVcFQC+lvzJrooTJv0FI/vwT5GOYiCAQCBINBgsEgumFw99138erLzwYz0tMDaYmROtjicFkt7dKi6NMtk865qTQl9Q62GnCbVZV2q/MTV6woHQUkhWhLXwArAjgEepWGLkxKK3rQ0JROTpvZCPEL6kUqwICxKC70fWD/OdT9ICB+Gtwz8mja+P+thKLcxga2rFtM2/ZdSE5t3dzv/38lYSCpZZkkJKcxYtzZuD2R7Nu1ma0bl1NfW3UEi+D/ql6nshDlpUXExCeFGN0MxSpmmiIYDCoeeYcDp9OJy+XC5XL9pJK1ZQvbpkOHSZkQsT/kFB4rBlSPgGdn85MkXT8nFXWwL685MFJ6zwHSD3wM4ivF828d+7iFKlnph8BYCtoqMBtC2/2kHmhEjdOsB1YC/YGDIL5CyFhkSgb0KUb0SkPEV6PNGw8VTzEot4L+7KSuNoAnwoW/tIZAee1R6UHbluBysuyHDTzwzOd2g1fKxIR4pJQ4nE6CQT+BgLqZ6b3P0f7zyh6xbmUeeqRK+apnI9CcDm65bDwxUR7uuOpUxgzpzqJVO+ndrR2x0ZH07daOG6+YyOXnjuSJV75ixMAunDt5EDt2HyK/sJwRg7oysE8uG7bvp766DqTkmovGcs09F/Lm1Ef0r97+i9i/8Tv7rrvutEDXkuLcep45jsNXTkTYNpppg6kT6KBTMDaSm77pg3BYP3lbhRC4nA5cToeiF66oxaysI1BUQVNJFVt2HWR/fgnomrKdoS6Vdu3bEBnhZtPGnQiXE/uXzLsPleqRvwyHIoKg10nwH3FFkubJtMIEs5eG1c7G7t4Wa9Kp8NE3aM/NQdhaywGPEXn4ELYjFjnGxZcNKRwqiUFzKGCtbVo4Y6M5VFjMvoLD9OzegYioSKRpgS/A4GE9GT6qN+4QAdD/JMGoaaxYt5uBvXOP/vgX7UTQkqYLPUtZbaMJm9ZtWrNj5w5s2yYrK4svv/ySjRs20iE3B2eci34DBlJZVYkmLTp16sLBggJ2bNtMtNvCyvJjOnW0BQokZPQE/U54rw7e/U5lZYK/ZRhO+PRDKf5f0/eu6zpOpxOHw4GmaSxfvtx+//33reJD+dbgfl2t08f2Ft07ZopLTutHv7FnkX/YQ8PO3cS1PU023f2cvvaiCzAvikLEgrZUYDwD2kJ1P405oBWBhYGmmRwoOgUQtE1fGrLqJ3NxYOegoiYfWG1pxnbYO6GnBveP/+W93f83ol7pYDDA2hVzSU5tTU7HnqrF87/UnqeyARLbsujRbzh9B4+ltrqCHZtXsXvHBtWOJ7SjIuz/hoSzIpVlh0lv3Q7HESn8sCMQXoO/RDRxdMnHkvDXieCedpyNhWLtXLVFfe/XXL0/AC+tgudrQB8bcj4kar0vBz6GwFiwTVoAfoS2MUDUgDEd+AGsMC7guPbDDv0UomZovw7aJ+oAIgL0TSD2ILPPgT+dAt0PITtWI56/Cu3Dv2OW9eC8+vUU7n2ZW259n9kLVuOKicAZG4lttSgd27YxIl2sWbLDXrBkA+edf66Wm5vbvDZyOvXC662nqbGO6+64iQunZAa//fobs+JQLbgdoUBSw27wcvHl49F0jWsuHkt9QxNPvfo1RSWV1Dd6EQK27yrk02+Wc86kQaQkxHDblZMZPaQbrz9xLVERbpat2c5ND76Nt8FL/94dGDKyJzM/mEPVlt0kRVmOp/96sXF471pjwojOWq8eXRnfTeJcbmJrGrahKSyFDcE+GluSYpmzPwNTCuyTiIo0TdELG4aO06nW4Y49h9iwdR8Yesu7Ylnouk6vnp1paPKyY8sutOgIrF/gBIhfsvJCp27HQbCXwE4SLZ+HSq24gHgQtSjEd1BCWhfk0P7o3gFoxSlqwyPvQ/h61q6BmkboFM1Bv5OqRidooayO20VFeTVbt+TRr2cnYuJjkX41GhghsBuasOqafls97TeKZVrouobH4zrq85MrAYSiftEI+r5Qyi6kfyLiIrnp/lswgfjYRNq1a8fEiZP59rtvaZ/TgeysNhz0NRGw3UREx5HTsTdxSYlcdcPNvPHlWrYc0hFSYheCeAvkeDCbVHdB4yR49QMYtgkG9lK1a9f/sG/dNE0Mw2DRoh+sq6662q6uKBI9uuS4J4/ux58vHM2aLQdZtmwZC3Y52D30Au4oWQapxU5ObVLzutER6wTak2AmgH0O6B+CLFHYJiTY0kDTLPIOnEmX9p+TmrCV0soeP31iYeU4ATUFbQFwF+iNYC2G9vvhjsnHL3H9tyVs4EzTZP2K+URERNG97/Dme/vfFCEEQledAFHRcQwbfQb5+3Zw8EAe9bVVJKe1JjO7E6A6UYQ4PhPh7ylS2miazoZVC+nRfwQeT9Tvst+CWqgOQLcE5QTqAm47Bd64E3acx48R0zqUtoXNxdAj/eSjMBtAQm0jrKgG49IQnz9qB6IKxDagH4q958gdh7OLDsAL8jCYemi7nzyiAdQAzysWIZkBRjw4ZkPge3C2Qut0ESLWBUsbEGcEMdtkYZv/gFOh0r8IUSP58OvFxMZ5SE6IITY2ipwObZChGe9C16GxiTv/eq356tRv9TFjJ4js7GyCIWKXNtkd2Zu3iYqywwzJjmDIu/+W3XsNtMduytMmnn2KZjdVozkMfIEgnoREOrXLYOqXS/l81iqefegKVm/eS+d2Gbzw/mxSEmMpq6wl74fnaZuVBqbFzHfux8huy1UX3M+CFbv8BYdKHE+9PE07ZVgPXnv9G9Zv2ce8xRupra3nsrOH8epTt5LVKkloHgdP527gh9fHcbCTgQyXdEJsir6LNR54vBsb7v8Omhwhb+skRShQpGladMzOgCONuxBgWuiGwaAB3VmwaC2uCDftO2RjNzSeFK9HGK/3s+n/0LkA2MkCO1n86PNmXyIGtEqJvkYo9lszHWrPRqZmIDUZopQ8jgwbASuXwo5C9Ih0NFR7m2boeP0BNq/fRqfcLJLSEpGBo2v8/8tyYlgaG32UVdYSCBzNrnVyGjd0/sa/gXJw9AJ7LFghlKVZH8SIMzjr9NMAi9zc9txx+22hL0sSnR6cAlLioznntJEIoHef/jzbqz9v3wEOaWBlgJkT+oozhMRPhH2nww2fwedp0D7t1xkx2z562JAmflsk3OQLem/58xRnZXmJY9a8heRm2KR2iqRrucm/lq1g54G96OdPQP/8PayIOKywllsJ+r/B6gQyG1gLYjuYx6RhpdQQwmLvwUl0yv4Knz+O2oZMTqiGBdARRDzIdcBIEBNBexfut2DMCDilw6+/3t9NQmxZtm2zY9NKggE/g0ZOxrKs/7rxP1I0TW/mDchq34Ws9l3YvHYxhQfyqCovoXXb3GbugDA+4f/KEQjvNxgM4PFE/szWPy/hFfPUPNi0A5Y/pD63Q+DYHgNgRxmQecwXHVBxKjz4Ocy89eSYAcN4KV2DxBiIdYFZDnocKgJrBG0umNFAFKpdK5zWDyH9EYAfRDE/ninyIwkzjuYBrwOpig5ULwHXRPDHg3MFosNI7LI82DASUtJhfyU9P9nBaQGB1yk5d7hG7z63s2RLDbv2H2b2ok2Yps3Vl08gIy0eO2AqOuCgzafvf2G0aduB9tnZzViRMM200+XBNIOYlo4mcF71p0uYMf8Hc/CA7iI2OUaYNQ14EmJYu2gthcVVfDNvLX5/kLoGLy8/czMkJrI7v5SBfXKpb2giOiYCX9DEsGyWrN7Jhte/kkvXH7KffuYZc9GixY68guJA/je7/ds2r48c0rudtnTNDtplpjH2lEHgEEJ6A1hNPpKc8OjordzySR9qrnO0tHtrYMcKCmIimbYmh36tqmkX8wtGj0qJrgs6tW9Fr65ZYJpHgyaFANPE6XIxYnAvFi3fgCcigoyMZGyv72cNo/Zrck/hTFM48m/ZGQB2f6BYIOpAREvQPNDrNKzzQbZH9Zce6ZuEz7FPbyjcD02NzaUOiUTXNLau20pyYhxtMtOPmhvxe4jKQIaBzL9+Pw5Dp2/3dsyctw4SBjZ/flJa19gHcokyLmZPcM4ExzawXoRAE8zZbOBua+P362jlOvFaEUZsHdV6exwBCyuhGLN1O6S0qUWSiGoS3uu3EVc5oAqsjkB4BKOB8vxs0LJh2xi4bRr8+2zo1PqXZQLCvcjHLjUzRD/8S8QwDGzbZtKkSY42sUExbeoLlPiH8uHaEXh79ueHNR5Ks/+Ou3oqvsWzsbZdDwO6qyzkbh37S7AzFJ2pWAz2IrArWtDW4TVrS2VgAsEoDpUOpG36EnYXTMEXiOVHTkDIk2c8cBDoDTyo/hSzBR59LnQffgOQ8vcUKaBg7w4qyg4xcsJ5WNb/bc3/ZCXMGxCeYtaz/0i8TfVsXruEfbu2cPjQfrJzuhIdmwD83zgC4VbEA3u20aZdR9yeiJ//0s/uFBCwZDPsTIbXvoLrz1RrIcIJpfuBUcf5ngC7FeQdPvlDiVCZ4XAlbNwJu/aAGAXSQr3TQdA/B9kX1RIQBvTpoeziVtRargC2HlE2OKGEKX9rQCwC2QhxrdDSrkT0OA2rVzJEHkRW+BlYVMCocRvQIrPY8EYRU8rWcdNDg6GqBhp0grVJXHf5WF7/YDaD+nQgNjqSptpGROtkbF8QiY0eE8Vr732tVXij7Jz22VLTNHEkYLVjt34U7NtBQmI6sfGJ3H77rQwa9g0PPPqefPTvV4ool4N6r58bbnqW9m1TiPC4KC6t4paH3iE5MZYpZ4/gX3+5hKA/yIABnSE2im8/mcfXc9cyY/YaK7dzX559/nl56qmnRp53/sV8/cWndt+enQKXX3GlOy01XnvliesZ3q8T0gxgB0ETAl3TsCzBpX338eLcDqypiVcwiSPWR/1FDi6+ZyBv3biOdjGNJ19ztyQup5OBg7uC7wRpGiGQlkVkTCQD+nRh46adeDwu4qMjkUHzKJDlieQXuQHHGv6whB2AtgL7liM3ljRPm7KPYyjCgMDCg8ioWERmAlU7TLxuiYhys2nJboKmRfce2RgOQ13T76QTbNtGcxhqUFKTr9kR+DXiiXRx+Z8m8v03K2g44vOfN6NBMF4Ccx9YgwAdAoPBsUW15jRm2Fz3joZ3oE5CVRnJ23dgxrsx27goD+pEFnlJv3QLB6LiMaNjkJqGFAJd0/FF6ASOzG4fufLCKR2A3vBdDVTNhP8MhkG9VIuRYZx4oYYmZOLUYd9h+H41RMdBXQ2M7AE9woNIxC8zjMFgEJfL5Xr4hS/MvGUL7MxT92jfnJ7DNzOXErmpGC0mE9/AEXDfOTCgF2KpRLwvFM1pH9SEvy9BlIPQWlDN4aXYvNhDWYCq2lw8rmpy237Hjn3nYtnHtHXZqOgtGeRGEG+CCKjIqm0mNDSB231yNNr/l9Jc2y4vZt/uLfQZOFr16Nt/LDa+sDNi2xaeiGgGjTyV8tIi9uzYQN72tbhdkeR27o07IjK03e/nCIQdgO2bVjLklCk4XR5+GQTqxJIQA/IKuOFjKPgIrpkE2/NhrRs1QOh4EgAZdfIKuLYBnvsatiXA6hoo7AYiIVTin6fmT4gjLym8Y5eK+B2fh0ph/HiuTzgZ0HIu4VpBeOt0YAe0noiW+zfEKRr2lQCZeObCrdm7uXjCcoioYoPvMAVlQXzVbuzqSDxOgVFZw8TThjCkX0cqymvZtCOftORYcgMmui4IBm10p4N7bzyff74409x3IF9vk5mpSylVFsCySErJYOOaH0iprSQuIQnLsrjzlqu0a667mQunDGXE+WN585/v0CG3NS898mfyD1WwefsBSspriIuJxNnopXffDmDZ+P1BdqzYymsfzZdzlmznmmuulK+8/IoBsGblUmprynE7Nfezz77gDpqmfOKRa1VqtLZRReZHxghCgtcBMepeHyUCgq0EPVJqGZxWeZJPuuWhCI8LNA0ZBiEfRwQgbUlScgLt27Vm47rtDB/eVxEDHQG4/9HupUT7vevm4TKT3w9OlxpM4xdKQR4vIAwff9Uq5N58tEmjqHA5qZVpFOyYS1lZJYMGdccT6UH6/M1Mf1KCLRW18S/WDQIs00aPcuOtaaRwbxEdumSB149pWhi/NHIFsCVWTSOTTh/K5/Nasjw/7wCYYB8A8xRUD2+IRthubWO8KAi8plFWEiS5YAVBn4/SNiYHI3tjWrFQCcIbQ0mHDrSa/z07zr1YofmEro7cBMYOMMP1QIF6CGFjFVISthOMCbByDVyxAF5ugLHDUP3t4vgLSIiQ8c+Hq2fDojC5XiX0nQP/6gXjh6htfwnXgGEYBIMmN990FQ/sWmxv+eFe4eg8RFie7TQO8EBiIpx7NUT3gs8l4jMw44GJgANcMyFYDsFw5N5ymSRraojbYTOk6KSOJkyKygbgdDTSKfsrtu87v/lcNCNUsjoN2AecDyLEtyEPQbRHUVz/r41/GPHf1FjPxlUL6NC1LwlJaX9YTn5oKQtI2yY5tRXJqa0ozN/FwQO72b5pJS63hw5d++J0qeL574EREEIj4PfhiYjE4TjOzPNfIRKV/bl0OKz8HrQb4ImPYctMWFsK3ms4sX+hhQZpncxxJKzIh38sB24HWoGIDEX/r6Hm8kiw2qNa9WNR1l4HrRTESgiIENI/bPmP0P1HJ1bDqMFq4HPgDdB3gxkFvhqkUQF2HMLWsPdD95IqenbeS6AhlhVzt/PFzJ2cMbYPbmli6zYCDZwOAuXVxMRGEfQFefm92Zw6pjdDTumNXRNUPe51DQzo0Y52mSkErWMMk1BObkJSGn5/E5alJqmdeebZ2hNPv2jVNzXK+tJK4XA7efIvl5KQFEdCehJ9hvdQhrvRB40+rHovfl+AiJR4Hnj4PRaszJOvvfqKuOqqPxvffP0lbdLiOXyogGAgQGllIy+8NT0w7cXrnf66RvQQm9+R0wstKbBtQa1lsC/ogYig0uFHct8XQ5fudXRMrEH6jZPThaHOqIVz17J2417+cts52MfhTWjeXEqkppGV3Zq6+kbWr9vKoGF9sb2+ExBwCQwhcQsb7+86qjRUy2qsh5eehzZt4IILQh7mCQyBbUNEBDIuFjH7e6hvy5c1FWjFlQwc1ImY2Bikz/cjml89yhNqOzN/vM+fOkPLRo+KoDC/mBff/oayGjOQEGkY/3nkas1IisEuqwnpml925bquYdU0cOQb/fN3NmyUGwl5axKh2ViRGoFGQasvN9Ahbi4xdgMNkR3YH3MqlohFFza6kBgegTc1G5HhJKl8L5pDQzNsNMD5MohXQP8ONYHPwY9ZH0LW0bTBGAC7z4BLV8Jni5URteyjIxRFHQwlTfDxSrj+S1iUC+5rwDgbXNfA+mFwxQZ4eh4crA3d9JN0NHVdEdSMGTnceP2t1/Su2dlYK6tg/DWIf70Cdz0CTb3gSRveE9jZQk0YrATmg1kaApnaLU0VGpCuQ44TbhEwXIMkPdS5Ils6AwJmJB2yZrbcGhM4BUgCDoM+Bey5IL+H2B/g3J6/vMzxfyOK5nfFDzNJb51N23adm8l+/sgihEALMQlalkmbrI4MPWUK8Ump1NVVsW3jcrauX0Yg4FXERUKxR/6argE7lI7asWUV2Tld8aihLpxs9G/aSteYVkvQYtkt6P9rBkHuNrBrwLgYZrWD6rPAiv+pGwCWG3ymylb91HG9AVheBc7rwNlBgXhlNfAOMANkJ7D6QzAGRCgKs6NU1Kh/B3JTKBtmcWyoj1tAOwMSNVCQsLAD8B1wrwIXmulAA2JPOQTLsUc50WolrDYYadbSqU0dmqUTCDbhdgq25OVTkFeAFuFWLX5S4nQ6sH1+EpNjefz+izlzwgB1Q1H1V9u0iE9PpKy0SM/bmadBS0o2nDnq3H0A5cWHqK4sBSROl4uIyEgam/yIimry80uoq2/C1gTBBi+BsmoCheVYdSoqCwZNIjq24ZWXv7RXbDxg/+2hh7QzTxsvNq9dzK7tm1i6ZBGjxkzmvEuu4T/PvcCt15zjP+tPk6XL48I4xvgHLQ3daeJIbOI/qztQf64bDMfRxl8CVZAR4cX+KUKgY0XX8PqCzJi1ml37DgPi59e9ZaEbOt265RI0TbZs2K46A8yjW7xE6LwMh02EbiERCO13ygSEa/S78mDaNCgtVTXiE527rqu/n3UW4qo/YTZqRAfm8vEXc4lK7kR8m3isJv+PjL9wO9i5ZT8lhytOPrpEOZG2EOTlFcgnXphGUY2nZtJZV5kLN1bKmx54XX49Y7VPi4xA6OJXtefoxwB5TsoBEG4QPvXiSSGQQiPB3Etu7Fxi/1NO/f548mJPpdKVjWYqBWhJDVsXaIfBnOnh8M5htH91AWKmQP9Eoj0L9lIIRoD2HhhTwZim+uPR4aih5SFLaVqg50Dp5XDNGvhkoTJw/mBLf78vqJ7X9t1wyVcwfzC4xyglZplqW6MHlFwE926C2RvU8zmZ7pSwXjIcBkvyLPIbJ4iMq54R8u1/IYcPQfpMtEVBxOMWHNJgJGgu0JaBPh/Et2p+QnitSVQsk6DBeAPONuHCIIzXoatDZacAbNtACJM9BadiaH6yW89XJatMFOvfXhC3gr4c/lEOLzTAa9lw7cD/ddufDJ2/zcrF35GQlEq33kMVze8fh5DgZyWMD5C2jWVZtOvQnSGjphATl0hjQy3bNixn89rFeL2Nv8ERUFmSg/t2kpCUhmE4ONk3XKKyPA5dvQ9hvgs91Om0LR++WgpXTwLHR6HAeziYuT9zCE0Z7AMVQcxgMIQgPlrCx3UJmPEDmJlgBhWWCgv0t4FTUe9wfchpDbUSGwfBWABiTyiTdcw7GFabsRp0d0AcYDSj/g8Cr6B6uoqRKS4Y+jCMehz55xwF6CrQOb3gMFcM2otAYDX6GH/eGEYO7MpnM5ez/1DZj+p/mqYhgyYDhnajXW5raPCiaSHjputU1zRQVV0n9uzd07J9iM5aWhYRkdHU19fQ1FDfTEOdkZ4sZi3ZIXW3k5RWifj8QcyAiQCcTgcOp4HucODz+nGnJfLuK1/J12ZssC658GyG9etI3vaN+H1N3POXh7n65vuJS0impqbajIpLshwEne+9OJ1Ak+8okg8pwRHnZeehON77uiMfLG5LIHI/PP0UvPvu0ffZC4meoCoVnKytEoJDhyvYva+I91++Ddu2f2RcfvwVgQyaOJwOBvTtTklZFbu37UWPjTqq5fJIkb+qCfWnzxtQddEJE+CUU9TvJ5oFEPqbqK1BRkURf86ZZMRH4c/O4pP67pSXOdCcstk2mJYNEW4effpTrrvvdfL2Fp20A2DbEn/QxIiN4mBBGZvyDgcfeexf8oLzz/V88+XH+uG6KJ55a7H84NPVPhl+6X+j/LzL5wD7Mhv9LQ2zj8DTVE1603o0bGw35HWbgL0dtKCFFBp2mLdfovi7I0H/UOIzYqlwdqL9+kXscYzCwMbqoYEHTAP0aYAHtCXAFLAnoJwAg5ZFqYemM6ZC/ZXw0HvQPhqG9j/idHU4VAQvLAbtQjB6K+PPEVTUVgAciWD1AG9Ny+n+nMgQoPCdefDsIZ1thgkdbYRLIP0auA2Mr8AKgtUHpQDXgb0gpPjCAJXQexalQbQGjRZUSzjdBFMoLrMCs6UeCiCljiYsduw/l26dP6FV4hqKpgyAAxLWCbSPQHsY/v73k7iQ/6JI22bz2kUIIegzaAyWZZ70YKc/mghNU1kZW4WwOZ16kdOpF/t2baa85BA7Nq9EExo5nXo1gwVlaOLZTwMdJUJo1NVUkpScgeE8tlB7YgmDO+fthj07ISUOzh2p3oMVh+DjFbDeCdttON8Lp9bD19PBOhdEiH63ee0f65NpkoZWNjvqHHRO+/GxAzbM3w2Fu6HYB3ltQY8PQaoaQX8V6IpK+YfxeoYq6VECxgwwS0K//0SrX72E9QFwSItUTafILkVwG5JNwKkgIxA9+yM734PMAjke2AXmXI1Tc4vpklWGvyQGTfdjBf0sX5tHkzdIhMdNU0UtEdERWKE0ra6rMo5VFx6Q01KPFEIQ9PnRdUO2zcwUYcBo8zZq4C5t23ehob6Ghvp6oqKjSYyL1t54a5r9p3PHWLf/9UodK8Ru5gvQUFxJRHIsN9/5MndfdwYblmyVDz7yoXX5JRdof77yMg0Eud0Uanv2nHkcOlQkyyqq7f1788zRfdKNJ1/6yDVmaDcumDKk2dBIAF3y6vdd+NRuwxJHEq6zbHjzTdixDb79FoYNg9xcpYjioGCHRxkw01LgwZ8y5kJgB03yD5WRmhwHuo7tC5yUUx92AlwRboYO7MGyVZtxR3rIzMzAbmxSGbfQtsGghtc0lPoPN3z8Vgk/q379YO5c2LkTunShmfEvLGH0+Lp1iL17kXFxiKBJzMblVBYUY99+I++s6s4le2tJ7l+DVe9G01ocKCnhtLF96di+lTIcP31TsIImeoQbd0w8ZXuLmDp9rmjbrrM/MTEl3jRNMjOzmPrhO2L9+nWeG2++O9CqdWbD6P5JUVLaWKbE4fh1AdVPamKhaJ0ITtRw/Qda1S/C4fWBgKKogXhd8RAvEa1tZFA/ml3PBmlAsCOgCYKRHg429aFL7QzcKeX4tXhsn4CgQCaD2QawQOwF/SUgCPZptHCEh68v5ARoSVBwFtz0JVxTCIYTInTwN8G35fBNN9B7q3G/P7pKXRlXaYEjdM4/56PZqPfLG4BPtsO2XmCMMtR+JArV7AAZD7IeVTKJAXEYpHk0hamuLpUUDS7T4CsJG21YbECjBvMsyP+RQyyQaAgh2ZV3Oh2nfIMZjKI0owvcKdEQuF1QUQsxUep6DO0XZZ9+Z1FR0YG9W6muLGP05Auw/z82/kdKC1DQRiBp37En7Tv25MDe7ZQXH2TPzo1ICa3b5pCa0balzf0EOIEwkHDz+qVk53QlMio29JeTe3hNlhrusylTlXhXTYfukfDKSlgzGOgGtIG358AkCX2WwroEEKOP8kkJZcJbFK0haOqq896/3+ZQx0acThdXXXVVc5ajth5unAkFWSj66fND1bsm4B8g94TarsL4HgEyCPpmIB+CJaGa/wmMf9gQNNmSJiBZ6FjsBO5H8g2QBfIUNNogXD2w6gJomsSu0em9sJbLUw8xqEsVVrUHh2FjBlUJz0Zy8HAFh4or6ZCdjss00aM9ygDUNwHHSZVqgoDXT3rPXFqlJUinK8LWNE23j2j7Ui2Bkg5derN4znSiYxNxezycffbZfDPzW+2hZz61O3+1RLZOi8Xtdoj6ei+D+nRg8nmjMAwHT70yg0+/WSqfeOJxbeTQQVpWbk/2FxzioX88KsvKSs2G2lIrMcJ2OvWg7JAc7bz34du00rIq7rvpjNCQGaU0pBRohsXtC3oSuFtDdLLxo8GzG6BbN7jxxqPKALI17C6NRjg0HPFxEAxAvfcn15y0bTrntObZf1yJDJjov6CcJ4RAmiaRMVH07dWZTVt2ERnhITE+BukPKqUlVDdUEA1xMlTAv0QsSz3rPXvA54MLLwxdVAgDEK4jaxpi3jxISMDRqyfpn7xDbWwyNZMGYnRqh2+Hg72+CAb6VQlBCDB0DRp9/O1vlysvvL5J9a7/hNimhZ4YQ8GOfN6fNo9lq/LM6PQu1s033OKOjIyQhmEIy7KIjIxixIhRPPzQPc53vpgbTEk5taZ7p5gYLdKhUVHzq+hyj6+NpURIG6kpCq60rZuJa1uIPKxR0SqHyogOIVpFC4mO5MTUejKU7qNBYhJBkWMwuQfnsCXtUjRLzQMnSLMSkO3ASgT9PRA+FakAapuwttJCz6c9bD4bbl6rPjMslX6kj8ILmMfzGkMIZK0GtDLwHNv/fByx7JaUao1fHVfLVspMmKjBSKGWbdGggHikA8vBKg7V/EPPJlzmjNch1wGj/dBPwNcafGBBhgaFwRalfPRjEQhdEsyIJL/daHJ2LiRwiYfqEdkE50vMGoHTocCP/0sJI/7LSwo5sGc7/YdNUO/WH7zm/0vlSEcAIDunK9k5XTlcuI+igr0cKthDYf5u4uKTyOncuxnzoKZMiiPqhgIhNGoqS4nsNSTkIPw8+r85+t8BB9uBcZGyvc/MBVGhHGBjUqh0JYEJqhumpx9SZ0BJ/RGHiAcxPKT/wtF6dQ3iiVf57o2/8G1osxuuvxq1gg2iPXCoApz3qE8siXJ83wSZB9ZoFD9PWAc0KWI+dgCHj5/2P5EIBOVyC8jrgFWo1MJQEOtBroPAJHAbCKcGh+H0yAC3X7IJij1g6yCkGi5WXc85kweTkhhDYXElVTUNxHfLZvkXSzBtm5GDuqoDHq98owlo8jJxRG991vczguPHjNByc3NFeE6DKgdYaJpBIBBA2orcKiU1ldTUVJau2qgtXbUZjkA59OveXqzasAdDWPamAi+P/etJcdU1NwrD4aSk+LA96dQzZOtYvzZl8jDGn3MKPbtlasS4NDzRvPnsRxQWV5CSGKu6aZpPVOIPOEjP8XGokwfbCtWLb74ZDh+Gyy6DiCNaTCOhzuukuryWB+97m/NPHcjIwd1OXBcPUf22bZehotuA+YsjDQFI0yYxKZ7cdm3YtimPgYN64nQYyHD/pwBLHE8THns+R2wSXk9h9sgfHVgo46HrMHasygI8+iiMGqWyIsfuOqc92NCqvhzjogvxduqrzl2CPljy/JzOTCj3k5pZhl0bSjAIsKrrkaH79JMU3bYEp4M1K7bz0lszzUZSAiNPvcK4667bhNvtbrbP4XJSIBDgnHMv4Omn/x3pc91S983sRf7tm1d7br96Cp4IdwvG4STlRw6AsO1Qq55OTEkhKXu2YbsMGq+I5/CTQ7E6gfBZzduclIR0mRQ6ta42JPp2kdqwhdLIHoigjRQaOEDUgb5QlQSsFAUOclSrKMLqdeRdUz+2ANEOtHbqo3CWXeMExj/0XamDtREu9sPIXj9PcqJrLX+fvRA2NwAxYDtAOkArVnV+ka/uv2wC5gBLwaoI3VdaWpnSdLhUwFAL4iT0tCFSh38DO4MtnSo/EgOkKRCTbBqKUim4eTDtIpdz8OMIrvKkknOaxO36ZS+iJASklOr/mvitpSVl/Bsb6li/cgHd+w4jJjbhfz5g5/9SjpwdIKUko017Mtq0p7qqjAO7t1JTXcGGVQsQmkbHLn2JiIoJba+oiDVdo+RwAa3b5uCJCJP//PxzDCuilGgIhNaZATA+VI+EFoUYAteKgbA5HjLz4XnZ8t7kV8DLHwJDQA+1yEpbopUUoumtiUsN8t4rT1BcrWEGobQSpi4FMTZU8zdRLJRNisLXPBcF0g9337iAKlUSs5LUyQt5MqW3UH2dGgTPAtuRXIigK3A5kiqgFK0yGqutjSyshA+XUeQvpGaYh0jDiYFiZtMMgaxvov/gLvQf3Zsls1Yx49sVjJQSp8NgwQ8biYuKoGfvXCyfHxmKqMJK3KFrWOU1XHHN6WLGrHuM776bWXvnnXdFaJrhDD9PIQRSwtBRE1m+ZBE7d+fzwYcfkZ+fT9euXSgqOoxlmcLjdkqvz8eeglJz3Qufa527dmfq++/Sp29f4ff7ef3ll/niy5nm6SPb648+cKmIapvioK7BIesbCQZ9fDZjJgcPFKEbGjc9+BZfvvcASIk0LTQBe6uiaIzXsQJCAawBpkw54rYegXiXEERQVVXH3oISlq7Zychh3ZHBnxjKJcH2B0ByQuT/z4u6v63bZlBb38D6dVsZOqI/VjDQ/NefdIMlYV+0ZaOTUTHh7Mcll0B2tgIDzpgBSUnQrh04HAjDANtGnn4GsX+5h2BNJkVX3UwwaCOkhaUZaJmwQXfz6DcH+etZjSTFpSBsS+HmTxJ8ZVkWjsRYXnrjazI7j7QefeyfEjQHIEzLwjiiLBGmArcsiymnnym/nP5pzLJVa8yli5YEr7t0guGJ8oiTdajD0uwAiBAIQmoaDp+XzHVLVG3C4eJg36FYugv3YxLblidv+I8S5YUG9QgORQ2mY/XXVMZ1xI7WkZbqwdRKQgrCBzINrK5gvA7aARCrgUgUmrgfzQpNWqFIQoTWsx1Kt5/gFDUBtg/iq+HibtAuQUX3juM8r3CEtaYQFm0GVxO8VQil40CLB3lYMZvpu0DuV+djeUAuA/JDV60pJ1kCSRp0UR1HTPBDN1MFTKt02KhBjQ155tH4x5YTR2nq4SC7aYgvLKrHZ7H3cy+uD+bx4PRTiYyO52Qix7CYdkup4PcTgWWaLFvwFdkdutEqM+cP3e73e0q4NUexd9nEJ6QQH8I97N6+nqbGenZtX4dpBklKaU12blf0EAPipjWL6Nl/BG5P5NHK+SePpwz14CyYDEybCgwHrS3Ya8HRAYLRtChFPVSO7AANBtx6Zsu+LAldv4HXlsGWbaCfAVZiPPbbryDuyER+/Hfq0v/EtfODSI+DwkbYEgPauFDQ4UB1WL0KdEIt7LDHq4cyY+vAagqdzkkvU1vtgP1I5qByHJuQHAK2gLwYyZlYeX6IdSJigWJBY6YDt6ljOCUytM6RIAwds64RGnwM6dsRL7D0u5WcM2Uol102nkBtg0Kru50Q6VHPosELQROhaZi+AJ62GXLE4F7a3FkzjC4ds7yduvYRlmk52ufkAAoUuHDxKp741xMcOlyKxxPJBRdcQFxcDHO++wbLNmmbnSNmfjubRx9+kLLyKq7481Van959AHjxheflO2+/Ebhocj/9b3+7XCcYJHiwLARG5P+x955hchRX+/evqrsnbM45a3eVc84JIZBBSOSMMZhoYxse29jGNhjbYDA20YABY5OzCEKABAKUEMo557RabY6TurveDzWzuwKJjP28/8fnumbDzHR3dXVVnVPn3Oc+eOI9fLxmO0Iozpo2giUrtvLU8/M5/TsjsSwDS0iNbYwlS8TEjrqiDeNT4yusBLm56bzxjxupOlwHzufzc8ioq/6rigCU42JYJt17dmPF8g2sXrGBgSMGouw63CgXYCxkeswTmOh1sVpjWozVChLBHQeuKTq9xseSSARGjdLb9vvug5YW8Hjguef03DrnXIqP7EWpdvblj0ZEfOC3UVgQsnENE3/zP7n/d48ytdu5nHKKF6e2DcP84p3iAvg87D1Q4/zijxd5QHrD4TCmaR6l/GNiGAau6/KDH1wrMjOzKOvW3X3y/p+LxKT4L4Zk/4SYAMJ1ou5+KFi7lLjGWmzLQ01lX1oyND2fbHFRlibx+XqiCHqSqY7rT+WyOWxqnonXcrCLDBxvNCNDAodBHYZIKcglIDcA2fpvY74G8Dkn0bmoxWKXn6XMXK2Q2QfDTejVgw7q0mOJ7WgDYPbHcOthIA84FUQluPPQWUj7wEkCtw9QgmYk3aPbIaOhJC/gN+AiNF1/XQRSlfaOxgFrTfhnVPkfU2KTeQRwGvAxUGRgLXT4jr8nJ14bZMH8Nxk96TSSEhM7diKfJzHFv3AtrNsGQQUDB8Okbp976GfKwndnkZNfQvfeQ3CiRUH+L4kmBjI6DAHDMOnZTwO5DuzdzpGqfTTUVVNfexhwKavsiz8ugfToXHNdN2rQfj6vgIhmMP3uEhgzH/65DFZ9BKeb8NYCiNzA0cpWgAhrEq2I07kD9xhw9WnQcwvMWgr3/guYoXAzXNwh6dSI6zh3QwSGGLpuQAKYeVEvgwTxIhg7QK0GeyidITuFLu7TBPIjcOP4Itv+Ty/a6gCCKhTfwxSKbLGFoIqnTrXqeHGbF9pAeNOhZDr+iY14fPNRqrOoU4yYxTQMUOC4iqlnnIwKhFm6ehvnXXUaHGkAKdm94xDL1+3EMg1GD+1BVk4aTiiMFeflwNqtorJbvtp38EjC9T/5STgzp8wVpuVMP/Vk4/qfXI8QcP31N7Bjx7aOTuheUUph7iAu/d4lSNNDnz4DOeXUmcyYMdPMyuqk5tuze7d940238s87r5AXXnWK6VbXget2gLyUArs1wI1Xn8bTry7i6VmLGNSvjCdeWcCFF5wAcT7cmma6pbaQeMimzvV2dneMbtu2O/+OSkgaxCX5IWJQ3C1Pp0v9G0QIgQpH8Ho9DBrYiyUfrWbT6s30GtuNkGMfW3nHwrgNCuN9hbtRgK1DshzS76uIgJPRA/R4sCMpNR5AKQ2IfOMNmD8f8cLzuOdcQP6G5SQ1N7GzZwXGuyHMFeAUuTjnOqg4vaENDynH+OPV3LF9JCN27SWjIILb6tWAwM8RBZhCoJraOFLXpNra2kWsyufx5n2sZsorL7/sjhw5InTVOWPEeeeP8tEe+uoGgJIGWTs2knpgF6G4RJpyCqnu3h+IGgdC4lpSU0hGwW5fWRxwvB5qnD5kLN1LetM2mgPlyCwXo1BqZd7Vfb8b3CpwR6AZ71LAWgpiC3hWg9MHnJhnKxxt2/HWzBhI8yD0daAgLbq/+MT3XaVfoYgm08m2QfYEJuu2uQ5a+W+OAhUN4ADwOrCdTuWv9K6/yIJTHTjb1vwnAl3+3AaCQM8IZAE7RJfCKTGJxQ4KwBgH7kegBoJxOkQeNvjDLx1KsgaybaPD0vdnMWHq2Xi8vi9kBLyxCT6ugVcEbM4H2mHEG7Dox7r9X8XWW77oHXy+OPoPGff/a8T/NyExQwClcKN1EAqKKygoriAUDLBz61rCoSDLFs2luamODasW0XvgKLy+zvisGwV2Hc8YENEf3ZOg+wwYvQtWroPvTILfPANPfQShkXSSTkkwPFB/5GiQaMzpMKGHfnWfBbfNFRweHMCe9SRywimI71mdJyKaIh8GngHe0eEwZxidoL+Y8m8DufjTnB3H77job9Xlf+GN/l9CClcxwtjBLjWSOhsk9ThiN9RkoJYUYYyPMM8xeHtVFtPG7ifS4sHySAyfX7OphcJI00DE+9i0+GPmfriaE8f1x20NEAmE8cT5MHwWi5ZtZvXG3eTnpJFVnIPTHsST4mPlG5soLsgQaWkpanCfYs/Q0b3UpjW7nN/+9ma1YcMW928P3CuvuPwC8eorL1FX10Blz36MGzeOoUMHk51XSEpKGtlZmYyfMFH3ox0hErFpaGxwfnXTTfYNl59onXXacNM+Uo/hqqNyzAUKMyWBAq+Hn994AR7T4MbbnyI/J4N7//YqZcU5nDJlGB4zjDeoUB4+jaA/Rt2NkJQ4EQWOjQh8Hbf+lxchJSocwR/vZ/iQPixYuo7ULZLk5DGw9xjwv+j9yM1gPARuPiifxlrZlQKxS2C+5UIPcIqEDn1Bx3hSsTU1tjEZORJKSuDeexG3/g710xvJHTeYtB2b2DXlDNrLu2O+/Rz2qjxkRSVWK9jngJsFzphJmGNg4QdwxYIE7p64hsKMdtyI8bm1DBzHxUyKV08/+bYo7dY9kJuTFSelNI6XPqyUwjRN6mpruP3Ov0Qeuf1yxk3u6XPqmjGE/EreGBOgYuEcHMtLMDGFvYPHAl1DAtFO8oA9A8xnwe7FcXwynyEd4Awd/Au3+TkUHkl+2TzqNlYij9jII7KzGFXs+wIIgvgAjCpwzofISKAJzFVRQ2AN2NPAHRw9JgZiOp6E9c5biqOLBMVECv1K9MP7q+C5lZo8JYL2TsiXgXpwJ2tEs9il2+Os11aoFFr5p0kY7YHvuDDZ1mOuJXYN9Pky0Z4A09CAwk+JgbYUpoHaAUwFeYkmdJlQDBnxBhHboTK62/7gnZeYePJZWJb3c42Am9+EVavQZEIVQAEsfRoOtEBx4nEP+7REtce2jStpbW5g4rRzcV3n/7TyP0pEJ0FLDCfg9fnp1X8EAC89eS95BWX44xLYsHoJruvij4unsvcQPF1SAjuNAfEp9jRXaQU7qEy/AH5/Kcy/A/bn6MJdCkCB/QyML/1kG+GNzXBoO/Sr1PUC/noFmBU+7Isvwd2xTX+vSx4/BogWkH8HZ0YU0R/kKG8DEsQRbbTbQhuWn9FNHSRZgMYUhET0/zIEg1D8BoNmiuWdtDgH0EADAepG2HcDjlOMdRHsb03kwz2ZTJu8C8OIo7G+gU3bDzCgdylxBZkEDtbiz0xhyaL1KKUYOqg7IhDCY5kQDlNUksP/XDWdbbsO0a04G4IhTNPAaW5nxMSB7N68lwNVteLGa06n75SJgkN7zNQkL/c++oiwZET87H+uY8b0U3ny8Yc4+8Ir6NNPL06BQACfzxcll9LP0zQtTNNiz66d7bPfnBO368M/G970ZFRd81E8BUophGXy3tsfM3l0X5zGVn5y1XRSM5K5/Cf38T+/f5I4n4cFL91Kvz7FXD16Bz99oR/hc+TRXqDnn9fsd12efShTsqsxkYrkrkzx/z6JeQISUhIZ1L8HVdvXsdetBI9AfXJBj44/VQeOV+AMFZpi3Q9EQPUDd7lAvQt8X78nLHVUNMBF46mURO/ocnMRP/0patIJ5HodMu1Wdo45iba4BER8AqrbGNyDS3CMNXgf64ns3ws324Cwg+0qfBNg1uoCrti7h6LcZlT4+MD4mCilwOdl/tIN9B84KJSamurjszUXra0tXPfj6/n+WaOtccMKpV3fivk1sFUmQNifQFXvwYSj1cdiQMCjRIIzFrx/AbsvnYi7T91V9HfXz1y0H9wCDqMRx5mKFpmOv66M8uJ32LF3Kko4qE+Wo+w6cPeBsQzsUbrl9gi0IbAe5F6QY8A9UzOMEaKTWTAmsbWkFJZthn11UJSujQBDdO6CDrTBvFVQsxWe3wOrTgAzG9QLutCYXAZOMhDW5Dts6bSHuir/kyw4zYGhUWBfiKOfbjawWMJjEpY5x9j9x5R/uf6yewjERWB6tav1wglRnv9oSdue/Ybjui7z5zzH5GnnYVqezzQCLhgC43Ogbz60tMG6rZD2HUj8Eno7dv7qqn3s3bWZ0ROno1Ni/t8E/H1d6YoTcF2HUDBAVk4BQ0ediMfnZ//urTTW1+A6DutXLcR1XLxeH+U9BxIX32mVxQwJovnpUgikoY2AGHYlxwsPzIRLXoH68zW0yHkFbk+FUy482sPjOPDr2bCpH5Rvg4o1cHAqhCtMGHAZ1DfQwTjUVfxgjAAaNf5F32M0rGaAbAdjtfYOWIBhgmlKPFEvohudcyqK+FJOFCQ4gU5CMAHscFBrHTyyJykUsMd5jMPuQmAFShUA84GzEV6wmwVxHofCjADYUhuj8T72HazhqVcXcc7p4xg/vBe0BRnSt4w4vxfbdRCGxI3YSEOiWoMUleZS1KMY2gK4oYgOIcT5aa9t4tHn3uc7k4aQluxj6WuvI0FdefZYMWjomNbv//hWX2NTi+fvjz3BOed9F8uUBIPtWJYHv9/fZSwIDMNg0aJFvPnmmyQlJngc2+aBJ97mvDMmUpaXgVCaXMY0taFvxPu55Cf388sfnM4VF56IYzt898rpxPk83P3w62SmJ+H3ecCBa4ft4JW/57NsexrBcgMVW0u9n+CZkNAy0uTvK8u4bfI6pPpmUu6/rAgBbsQmOysdPyXMe3MzvvwxBFUiUkVTAWPu/0NKY0pyhd5VHQFjv0IKsF2BYwjIARQYjsJZLDR3VDyaUWo0mD5N4OMKAxGK4KalkVtRQNbaj9gx8kTaMrIREQclXNRFIxHLlqPefwo7OBLV/n2gSCsOaeC4LkaFYqtKYHKbB6lsDUTvks8lhfyEZ0Xg2Lbwey3SM7O9Uupg9LHW61go9emnn2bd+o0tj9388wSFgfmld+JHiwmwd8g43ZxYBsDxLAovqBJt9avjUZXHwgOx3awA4kAeALEaZAMQJ1CZilCej9otgygpnkNa8k4am0tBuCj1ietH0cJuAMwjQAK6YlizvgN7KIgDYM3RtQXCJ4M7sfPYrghR5QJl8OEGWLIKCqIsgV4zunAC766A6w5AawrIGWAWgv04sEof7/QENxl4Dey92isQpUzAVZq5bIRXM/sNjWiPqEMnJgqg0YAVAh4VsMyG9mMof+GAGgCcgV7ffgzKD+EWYDEknt6JX5DSwHUceg8YiULx3pvPcsKpF3akjxxrUP1ggt5xxZaDloD2enwZ0Yj/RlZ9PJ/BwycRl5CEct1PUWP+V44WXUTGYPO6jykoLo+mkLkUlnansLQ7APt2b6G5sR5XuWxe9zGu4yCkpKC4gpz8kqMUeId3AIEptVHguHByH3g0ABc/r4l7/tkXzp9yrAZBcwtEpsLmGthchaaw1ieHtNRjHqMSwLkQjF+CMwVoj8ap2wBTwWEFKzrz/RqaXJK8QcIRRSfAr8skLVdwgtBZfjEEmA/4cBdq7VqUUUGt/R5r7TUokvEIl4j6GJgEDEc6Nk6NQWVZM6NSaiFs4boOifFxTDtpOO8v3sj//PoxHvjD5Qwb3psBg7uzY/8Rlny0idOmj9a3G01Dc6L8/KbPi0yIQwpQts2SD1fiMR1SE01am1sIhyJkZ6WTmpXIGYMmtv3lkdnGG7Pf9KxZtZzRI0ew+IPZpGdmk56Z11HwKZY6umLFCq666ioGDRrEhzt2eC+84Lzgs2+8K845dbQ0Ev3gKqTPA02tWKaB8Hu54vwTWLNxD+1tQeKT/AT2HubsK85g8fId3HTd6WRmJmOHwpgo7pq5lvFPTEDcolAx5TNjxtHPUUCkl+SNp3K5c9pK3ICH41b2+ZZFKMB1Sc4roH/JYdIPLaJKfAeEjVAGKlquV2wHsR7cIfo4eURhpCvcaVGDIA/kYJBCoT6GC1fuZVJ+FU7EYtuRRJ6dVciBsB96AsMclNeiaNdK0tevZcfQk2jLytP60NJp6m5fF+OUnpjvlKB2r0VFqkEVRDEEDkoInD4m8z7K5vTa/RRWKsCnFUYMLNkWwg0EcV2lAZ2Og5GczI7d1e6FV0/0+3ze4y6asbDAI48+7j5y+5Wmx+9R2I5wo+lbXzVkEwUBRil+P2/R9oBzKZj3QGQ4nUhfIJbgLqujfARZ6Ji7DeYGYAW4uzuBqcoUePIUQZHAwephlOQvoL65G1LaKFceM1ioJDh7QCwC1Tv2JtAKKhcimWBsAfEEeHaAM1m7PrvGwJQCaUK7H1YdgXMlxEeNmfYQxHmhZQ+0JoA8Q5/efhadejwUzVq2Gl2CfKs2SmIpTQBZBgwydby/f7TuRtcQXBhIA9434E4Fhx0IfOJepYV2ZQ0GzgJWAgPBKgTnBejlhcGlMKLo6F2cNLQR0GfAKEDw7uynmXzKeZiGdUwjwBP9N+Lo88SUf1eb6bNFoZRi4bxZdO8zhKzcov+n0/2+UVEuQpoc2r+L4rKemB5vB2hQKZ1aWFTao+Prhw7sorG2GoXi8MHd7N+9FVe5JCSmUFLRm/j4pKNO70bTkcIRmD5U8C9XErHhzNFRrJD4NPbFZ4FwQWaCyoyqbAUdXOnHLJQCzmAwMiFWZzQzEX7/HRfhlXgjgtAwB8trYBpgR1JJiBtDbYMgPs6iPeB2EOjIOMH2ZMGd68G3GpwjoGwQCeDWJuGSS8TZS3c1hht5jnUyzIMijYPOLiQpuE4/kBFokxSGAxSkaQ+AaUrc9iBJCXHc9vvLuPW2p5n93ir69inDn5JAUX4Gew/U0FLXRFJqIgIBHgtpSAiFqdp/mIOHa3EcB48h6d+7hPEjeiGlIG9obxbc8TzPzl4hHvzzFTz7/HMpO3dsteLj4zl48CCmx0ugvYVQMEasI6PPx8U0TVasWIGUkkgkQnx8PDt37TKra5vcP9z/mnvHzd8z/vbYbBzbFr/50Vko5bJo1kIuPmsC+w/WkJSZDB4Tv7DYsfADQs272bVzPZn5wzANCLcaDM6t5f6Ba7j07iEYP1LRvHoXPjlHvVDdw8v7O/OYkF/zZRaBb1Q0LbuL4XFJL+2BuwrKt77Htu6TkY6NiiH6QtHNXBwa/ClB9RTYpwkEYKF0iuubgl6rWvjdqZso7VENQQvV6uXEDdXsq/Xx/tYMZh0oxdO8FnV4G5vO/w7hvGwMHBxlRI1QA0LgnjsSszoBseAArieiL+qJPk9A5LssrEknUJHJigVz2LClgTi/RSgUQSkYPqiC7n3LkKYBIRsjYrNm4WoO1LSEN27e5M3MTBPFxSWYx8BoxNbuESOGM/fDFVafsnHS5/Ngejza3fc5ZEPHkygI8Asu2IbOyfe0gzoCdjo65tflcHEEPA0QzkN7AcLgWQnh3eCYECu9jAPsA4miLZRDk6+IbpnvsPPIVCRRgqCY9yQGVAJEDVoZ9+1yrmjsUQmwB2gjxHxMv++U0Rm3RP8WgOgFKzbAk0uhrhEqU2HacJi/BJ7cBZ5rdJaIWKczD9wUvRjJuaCWgQrGblgrfxHtzFQB4wSMtrUzJNY9sXzrZKBawlYJB0IQUp+YZ7E+Gg/qNGAuiP4gfgbmk/BAMQyohB4Vx3bVdxoBI5EC5s9+lkknn9OhYLoaATGsSYxFMvb/FwH/xc41/81nKe7Wm7KKvv9n0v2+tiiFkAYNddVkZufj83eC/rpW+eowBoQgr6CMvAId3G9urKPq4B5sO4JyHbauX44dCaMUJKWkU1zWk7gEHS6Irk+cNlzvuMORKN6kIyIaxSYAjVGDvgNM3DVoeqxBEcUBmPNABbTudSVkxMMVQyV28xHaWhtIvqI7jnOQI9XV5OYNQgNOIrS3HyAurhQdHPMCEVbVKu58zYMlwb4UlBL64xcqUAzH4EOCZGPhYaYYxWoJb7v9aFNBhHLBMrWVXScwYuUUFEhDEmoNkJaSwI3XzmTXvmrcUAQVsSkuyKKuvoVA2CbZ76Nq136qqmoIhSOYpoHHsvD7tZ8sPs5HSWk+mBYfLdnA6/e/yh1/e4Xd+46QFO/lzfkr/DVHqsnISCctLQ2lNGV0Q101aRm5+PxxUYIY7ZmbOXMmU6ZMoX///sycOZMlS5aY/fr1Vs0qx/3VbS/aOw61iDWr14mLzpwg5y1YKwygpT2A7br8/bE3KS0pJNS2mxeXVrA9dAW//Vcz3d9eztnnDGB0P4dAczzfHbsLuxW+f+8Q+Al6J/VJkdA0w+K2x3sw4eIjuLb8XBDbtyVS6lTwVfW51JaWktEyh6LlS9g3dBQyaOvaKH6w2hSqSuAUgZsoUPVAiwYERj4QxB20mRis4fuDd1Oa20r4UBJI8JguJww5AJ4w5zTl0eOF1STWryM8ZBJ//TidQ2+BM8XALFPYSnQs7qogAfscheh2AurQx1DfHXbsgvfeRY0aD+NH0eL38NhzHzCxRy3Z2ZlYUpeQB8Gm7QdYtW4XcfE+EuO9TJo6nJtuelhN/c7pRmJCHJs2bSI3N++YBoA2kl1+8fOfySknT3cvvPD8hrJSb0LVho1WKGhTVJChN15fshDZl0ZpKQvsn4PnISAMdj7aE2AAEtxCIB2t7VxQXghNBJUO5nJNyuU6mpvCyRCoMQpH+jhkDKHCepO0Tdtp2NkNs8UFJXVxMKWVqYoHhqILfcRCH10XqxgquUHjBOwxfBoQGPM8xoNKgTmL4cUEKDBhxuPwXgtssMB8XBsUqiG6U+oPLAAW0+nPj6YfxnBLaRJ6GvC2DYXA+GizbLSh6kPn+3/khffs6KaKLs6OaMzfnYDe+c8HykH8XPMOeJvg4pM7Q3jH25TFjIBe/UcihOTdOc8yadq5eDxHZwd88tgvivqPneOjD2aTlJpBz37DooQ2/1X+X0Rc10VIwYZViymt7Et8YvIxPTTHMgYEWsknpaR3fO/wwT001h+J4gpstmxYhhOJ4KLweH3kFZSRlVeMwOiIvXe0xdEQadcF20CzayGOAp8dT0QArGfRpXyzQPiACIRtxYE923ln4SpGDh3M9kNr+cUvfkFpaSmTJ+9m2sknsWDhYpKSEpGyhnXr1pGalsYZM07g4XvfxJN0HoEZDvb4LuGB9WF4LQ1lJLHK/RNP0sxd7hDy1Js4/AvJqSguAkOnAjlhF9vVqX9ONP3Xm5sGtkt2XibZ5QUQDEMoxKFD1axct42WpkZ6VBfiuAq/z4vP58XrscjKSiMxLUXfdMSmtraZ+/7xJvf/823qG1tJS0mkR3k+dzz0GgUFhU56eoYsKSkVPXv2RAhBWWVf3n/rBTKzC/H6Po0B+Mc//sEll1zCzTffzNlnn8UPf3idGDN6lPHiK6+Ls0oKuPXW39vPzlogTxjbj9Ub96CA8uIcquNa8JuN3P5qXxadehbGgHzcthbeeeVhPpzj5YqGHlwzcQW4JpeftYXVD6Xy4NvdUCd94kFGlYbKFOyqi0cYLsr+z3jxXCWQ/jCbt2Xyl12F2OfEsyN5ChVzZxPZ4KWqz2AkDvZQA+Nyhfmqi1MnUbtBJQNeSJod4dSqKs7O3c/A4Y0UprSjwmBZCoGKplJaWP4kjuxdx8kle+h7+kAsXzND1i5knx3H398qZ3FZOtbJGoLoooEqaoiLGlIJ//wIHn1MV1fcvx91912YvjCs2YPX2s+4ySOJy8zWKZdCgBAc2raPfYfqmLtgLYnxfiZNHMyuqnriD1RZv7hxAratUwCPJ6FQiPyCArymY/7wF/daw3pnu+9/sIArLziRooKMr9TfXx6mbUJk5b61SgABAABJREFUAigDzEfADYHbA43CRD8EJw1ttUd3CHYFkAtmGngWg+2LpvXlgFMhQCrCKoFDgSEU5C+hfnAFNNuoZomMptKqQnCLQJWh0Z5B9KYhdgcKnRpyCKQXIteAKqdTWcdExhCgIJohQYDqBXuHwT3zgKlgvAr2c7rNHAQnAdgBrIymAMY0fpc/fRLOFxr0974NcUIrfhvt8v/IgP0GzHVhbQQO2J3Hg+4nwwF3EKhpwCqgEIw7dEhARW/lSAPkZXFMF25XkV2AgUJKPnjnRcZMOo24+KQvzBNwTIkeu3HtUmw7wsgJp+id/3+V/xeXKIq/ubkBny++I0/9sw/pagyoju9LKcnJLyEnv0R/huLIob00NdShlIvrKg4f3MPeXZs7Kq55/XHk5BWTnVfS8dy8HvD6OzeHwnX1s6bTCadEFIQVA2O1CuQTEB4OKg1UUIElaGlpYc4rz7P5UCvbN65h3rx51NTUcN55Z1Jff4S9+3YTF++hsbGW3NxcNm9eR05uPrt25bFz0RaswdA2ViGCOlRIWIEnBUQ/lHodiwTiiOdV9RavcAU26SB/BCoEYQm2wPbG4/HFIxMEUpkQDvGvh98A5TJ5dE/2HKjB67Fobw8xf8lGiguy6NW/Ap+AjNQUUpITNcAmilBUgaBmh8vPQtQ18fGqHYwe2oPTp41gy/aDNDS1MHJgJTsPtfPRslXqvHPPEdnZ2V28YopQKNAx75RS2LaNUorbbruN2bNn89RTT1FcXMLUqVOJj4/n2quvkJFwmF//9hbl9foYO2EgiYlx5GQkk1OQDYkmv3kmj4/O70P4DAM8CohHDv0ua8/5NT9LKGRv/Un0S9xFeV47fz1vLav+lcKykam4SVopHcUJELAJpkBdq48069/DA/BJUQBScbDJx1YjGSvHJUAKu0dPpmT1fCI7k6ndUY45wyF0joGZ5iLfU7j5AuM8hTwI07dXce9ZK0hNDUK7iYrE5o7q6Hsr3sfWDVvZs/cwA4cNx4pLQYXamDCkFfw2g9bX8ad1fXjqoSI4E8wMhW0LbUniwsknwY4dkJsLqamwehXGkSpCm7cx6UeDiUtPJlzTgBE1pJWryCvKISHOz5vzVrKztppXXvmAUSNHtb/17gJfS0urUVpaduw+ia65fr+fu+66i+9973KSEuMT7n/wH5EVy7bb9//+clMaBl+EBtiOxf+i8tXytFywx+rdvedBiHwAzlD0Nr2dzgI+sT5vB3xgjwOVpV00buxe29ANkormhnzaNxdR2W0O28ZMQzY5qMooAUY6Gr0ZyzE2QG4Hozq6QJng5gE7QUyIKv8wnTSY0VXMaAD/SpC74eLJuu7FPw5GybFOAScETj2QD+wC1kfvpyuoUXX+CZAp4RwDzrchV2nQfivaBkoEFkh4EFjv6sp/wS5rvYIO5U88qAlAPdqgugWcleBs1X0+sQSSk754iV8ptRHQo89QDMNk0XuvM2L8ySQlp38loF5sIB7ct51D+3Yy7sQzou/9N+b/RUUphZCCA3u3UVBcQUJSCnBs5O/xRKcBdg3lHG0QZOeVkJ1X0vF5S1M9tUcOEQ4Fo993qak6wMG9O7DtCEJIHEdR2RZP+448WvPzOjKCYkP1WOaJ8Ci9W8wC2QRKKpCCtpYmqltrOfvsS7jlN79k1apVnHLKKXzve99j9uzZNDY1MXr0aA7s309ycjL9+vWjrFs5T/z9SSpOGcUH4x2k60QNJVBxDqQlolQeUIuXShbzDstYRECF8XAZ7SoK4KsF7+Fa5KENrFi2jCQriJIG4UCYeQtW09TSjpSKOfNXM2FkL4oKskhJTebMmeNJykmD1qCOiSXF63BCfTOR5jasOC+bNu7lH394gk1b97Fl1yEe/sPlTL34ZA4u3YhruPzl72+xYvYSmZubI06cOhWfz4fjODiOQ99BYzmwdxtp6dnEJyZHKYMVmZmZ/PKXv+Tvf/87mzZt4qmnnsKyLHbu3EleXh5+v58/3X67df9fb6XlSD0DRvWB1gDhthAWTby0eRyBWw2ER2mXpRC4CRmIKybStm4udyztSeolp1N8sIGRG2qwq1x8fxa03xp1+5gmNDZCYgLEmdSNTeCVrQV8v/9uXEfoEsH/dlEk+G2koQFuIuLSkpFLdeJgch9YTXsgjXBzCsb1LvYUiegDJIGKCCL3QHFBO6nZLbRVJeO3nI57UFGXqfRabF6/lUOHahg2qj+pSYlEWltAGqgWiWrx0qeyiXsyVzNuVQ2//0cv9k30Yw11ibhRozA7W79iMmkybkstrByFG78NwrWY0tNBCKQEuKEIwXCECaN6E7YdsjOTOD+rVKxev432QKhjDned2zFM1W233UZZWRnbt2/nuut+yN8f/ac7emil/eefnWL16VFMOByJUhvIT50jJuGIrTypSSKqdIGvagBEjSBnGFrDfQSe18BNBHsQence8wDEYvRRg9Lpo48lSMeuHQEiCG67j6rJQykNvkXOgg0cHtIHkemi/BIiINdrDIATARJA9QX3O+jshDa0ws4DZxqdAOOYRA0A2QrWQkjcDauDsL8G3JO1AUGVBhCyA1QjGnzXNcviKH995+4/34TRaHa/puh7yQraBMwz4D4XNridaX5HnSZKZalGgeqOBk8uBvlznfZ3yUE4qVgDqgf0g8QuNTy+0KOKGgEVPQdimhZLP3iToaOnkpqR/aUBe0IIWlubWLdiAcPHnYL3CxIO/Vc6RUX7fPO6ZfQdOLojJvx1+vBYBkFXQEdiclpHeeKYtDY30lh/hPb2VgQCx1EEbIeEumpSa/YhIqEotkWnXwkgkJNMIJxGuDmVUFUK4eU+At01QKojK8gBb0oh/Yt68/wLz3PgwAH8fj9+v58HHniA6upqfvKTn2CZZseCFgwGKa+s4O3GIB/yEWrwBbgYnavTEgOWAXG9MULDQG5is2qlzFfCuakz2WLU0Gi8SbPjYvhMamsSEU1BPInJpMV5sB2BkSr56ZWn8ce/vcYb89fTt7KUfr0rOFzTQI9u+SQV5xDafQhvaiIb1+7g6Vc+YM+BGi45axJTJwzUYUjToKWxjY9X7+CycybRZ1AFDZv3kN+niC2rD4RfemuFzCsoMv9y15/p1q1bNNNDEzhl5RayYvFc8osrOkI+pqmLBl1//fWkp6dzwQUXMGzYMP18WlsJhUJ4PB4mTZoo/3r33W1PzVrg/+65J0ivx8IQgvpIIqaMIGzt1iYUhD/9CX76U9RpZyN6b0d8PI+G6lk0TJnJmvpUzMnA9nYIm5r29qWXIBSCpiZISiSY1I1XNpRw+YCdfE5K+rciUirsgId1bcm4WUJnXkRXzNpQBfHN9RQOXMS2qlORWxzEMAG5IFoERR+0c3H+Hs4cuh+7wX+08ncVGBJhSDas3UZNTT1DhvcnOSkeDImVmarDXsEwblsAu8VLmj/E9yfupHdmPTfOHcRCOx1rpEvEieZzic45RsTFTcyAyRnMqbEZ1NhKks9GKV3NUNc0UmTlpDE5J03Pz6xUfvnjB/xAKD09LaYpOyRWJXTZsmXceeedDBs2jPvvv5/f3nyLyvAHIn+86QIz3NJikhSPJzFOVx5s0Wk44XAEyzSwHbdjffHkpYsPZ3/cDt07tMhXZ2qJGQE9gZ4gioGVYM7Ru2+nEm0ExIhBYutTW5f/u6x5yiMwpKI9PY4D04ZQ9vOF1G2oxBkkEdskch8wCtyp6IB6PKie4HQxwqiLeuyOXus62wvYWdByMQRb4d4qYLA+Tv0C7cE4gHb9x3gEYh6TaLy/q8Tsl102PGeC14IhUUNnqQGbTXjB0cqfLrfbcRqJ9iwMA3cSGjtRq0MTcii4f4f/ORX6FB//MXwR0UaAS2lFH6Q0WP3xfCp6D6KwpPtRwL0YKdKxQguxXeb7c55n0PCJpGVkd6Q0/Ve+mOiKiDK6sxVYXh/wzYOtRTTm2HndKBIutl5JQUJSSof3ISa74qCpTwu+xno8bU1Ix43GTAUirPC8HSFhVQPSexijNYJscXErHcQRwFEai6sidCvNYPj406hqf4+cjFzuvf8eZp51Ln5/HAMGDyM5NZVA2EUIRVpmLmMnnEBKRhaX//JGkjeu57F5r+LzC5xGA/ExyBpQ7Qb2QJOGdQNoaluGR/gxlJ9egcEMkyP4i2nTahsI10NrWzpBn01Zd5PC5DYNbpAKPCbpz7zHs28s4uxTRtCjLI93PljNweoGKroXUdQtl+aGNv7x/LssWlcfcZUZuf+J+d6CvHSjd/diKvqU8uBtV3DVBScwoE8ZIicdvAaHtjYELv7JgxSVVBh/+P0tTJgwAejM3X7xxRcZMXIUmbkFBNtajzL4DMMgLS2NWbNmMXBAf66+9kfKMg37rj/fZlmWl0gkohzHEb/77S9abrjuau8ZJw2X/txs8LTx8ycHs/20RJQvClSTElJSOrI2VFYO6pSLkA8/AEO2wvbV2B6vBm/8dT8MHQrNzZoJr6kJgu3w5BMcKH8IIV3Uv9kAcJVAWg7VhxN4rTkXRkSHrAWiFsRywaGSgRQ4H9LNmscO60SEq4tpuUphNbmc2ecAfYtrsOvjkKZeeF3X1ch7BatWbqKlpY0hw/uTmODXa9rc5dQ2tdLWHqKyLI/R4/ojW9txbQM3LBg1qIbHUhdz+ezRLLDT8Y51CbtSpyTGNKhl4NoKY6DikfuLODNtHyP6HMFtNRBGbGcPKqwBgRHbxmxoJT0lXmzcuMFat269PHHKCUf1R2yMZGVlcfnll5OWlsbhw1UsWrwkvHfpA8ZfH3zWXLlmp4NQyuf1MHXCYPOUyYMQQuIrysY9XIeVla7wewRShP782yfCb76/zrzmh907rmECSBddsEby5RggYkA4CfZkYCgYlSBXgngbKIqyBoair9gxnxRFNGVSYK1RtFyWS+1VZVTcM4dNs2fgyXOwf2JA76ib/xgiIjpMoGLnO86qqrxgd4t69PtH37wfeF//r+rQHx7o0rbjeMFibze7MCcC0gN7NQcHrzia278h6kEQnzyNjPZ7H1CTgUQw9oBbBep/9I7KaoNkry7ao1wdpviqDJ1SSpTrUtytJ5ZlsW3TKsLBIN169O8A8B0PUxBT9G+/+i+69xlMfnHFf3P9v4IopcF/m9d9TGFpd5Jiu/Jv2YOiFxJxtMGtFBEH3KinwBAQNCXB+ESCXQiHuornJhAl7ZhWK1ZaG6Y3gNke0XM6VYEBkT0u7tZ4svOzufLy84HDHNm3mPPOOpWuHOJx0fQEf0oC6Sk63TGpooKrKyr486ZVJAsDe7FCfAj2BFAY2Cv9tIUzUEoSQdAWbKYo2Jcc+nMYOIKeg24iuLIONxxCtQVxMIiEwniyUunds0w1PjWX1+cuE+OH9+K0qUO59Ia/8a+n53LrHddwYMt+5i9a5159/W8596yzPKefPkNc+6uHeeHBn7FrfzXJCXEMnDqUlh0HmfPo6yxYu4PlK/YZucXl5q9/9Us5ZMiQo8IxjuNQWVlJYUE+OZmpLFs0j5S0TJLTMo/KBpgxYwY/uv7nKt7ZS319u3vZZdeEi4ryPL///a0CYODgEUkNrRERimhK0bqAj9kNOQSHd/GUeDzwox/pv1tb4R+PwY9/jBuMwFMvwdBhsG4TTJ4MtTasWQNXXXV0aeCNO6ibcw9t5+Tgkw7KkP/ebEDp0hgw2RVOgAK97iF1yNZcqggN8bO/aQwVdW9TdGQR+4wxyLdCqM1ehuXVk5EcxmnxIY2o8ndcpNeDHQ6zZu1WIpEIg4f1JSEhDqc9iPBa5JbmsuGd5ezef4RN2/bj93kZOLS75oAwBOFaPxVFrTx2ymIunzuKD6szkGcqDKlJh2KbWSUFJAiaZ0iumzWAt5IXkl7UhmrzIMTR7n1N3CWV69hi0tiRwffff88/csRwmdillkssTFRSUsJNN91EIBAgEGhn/Ngx5hmX3oInsbDxjAt+GN8WdGQoFGbuR/PDr859VBk4Ij01zvPX267h6iv+IGxXtVveBBatPmT95S93+Rrqazu62wSdumNFwXGureMVX9j4i7HbuECSpgR1h4IcoRnArDmgYoaAgybBh08r6AioFBDVAmZ7qPrOQOJr5lL04Ufsu2wkoreLQnZeC5CHwdwPkQqt/EW0rsPn+jUi2mDoqCiogDI00G9F9H5sOo2Wz5CYFyCi4J0ILBS6GmGzc3T0oKvylyZIG6wECI0DlQBGE4gDoL4HTAOzGqywfjam1MbZ152IIko2k1dUjtcfx4bVSwi0t9Jn0Ggcx2HxfgMpYExxF+BXNMa/YN7L5BaUUtlr8H9z/b+qKBeByZ4dmxg4YhLWMVIz/10ihMCjWUAA2HIE7EQQSumxr1SnW78NrJvAyZI4hXGEgnGd8z49eoqFaE7rGljWCBe26fSbEDns9/2Oi2dbhNtt4lUT2aGt7EsahXRdXFeg2hVmqcQe7VLlShp7DaJxH5q5bTKQBOwG9gP0RuKSQDlxopDH+Bs9ZQOjOIm5rksICQGJdBykFAgpIKKUPz1e4Eltdf3Fqm/f/vErN+53zrn2bvOCGWPp37OYWXOXceL4AazZvN9ds/mAu37tWmvKpAl2TX2ze86J/WV1bRNX3vgw13//FHoO78XDT81j78Ea7ECEVWvWey4dPIJ+/fp2eMpiyt8wDEpLS3nyySeZMfNM2tsaCQTaSY52bSQSwbIsbr75ZuoObWt77I8X+MORiOftBavdZ15f1Xr1tT+M+953L+Ke+x/2nXLiiFBKSqoPGRZ/frc3Lafq56WiCPWjDEmPB8aP1++3t2nq34EDYcggSE+HPj3h0CGt/DvAYwIuOJe6j+/j4blNXH9OHpGmdqwvCjr6JkQowmFJc9jS+K3YOt0CbkBAoiIcSGCn9wQqF71JWziO4Tt68INe71Cep8hNDkQ5p8G1HWScn0BTK6vWbsXv8zBwcB98fi9uIIRhGaiITc+exeSmJnDgQA2Pv/A+R2oaEPE+nNZ2JAYej0Ok0U95USuPTvqYh7ZV8NC93WjrbmBOVTiIDkPFscHs4bK8fyo3ru/HrfHryIoPgmN0GAEArquIGJJte6ro3X9g5LTpM7yWpWvSdl0PYkZAUlISSUma6+M3v/m1sXTZKvekEyd5MjIyOoohTxg/Rm3esk25dkTMfnN2+5iTf+zrPXhi1YQJUzKkYXou/2GJGDR4MC+++GLH+U2AuMeg3QGmgFEabaANyuBorRNzh39yvYoZDFHlrPLByQd3mGZjEhvAmgsqU+fpo9CGQNfzOdoAcGrAnKsIn+LnwMiRlKTMJ7FHMW1ka2oHW3ZsJMydkPw8OHFQPx7UKfqG3CjyXznHMWYsUF2yLWQAze2/Dc0u+CUldhvtrsY7du2WTzoPhKGbb0+FcIm+Z3yg5oNzLYhp0WyA1+FvUyA79dNz++uIRpy7pGfmMWDoBDavX8ayRW8zbMxJVDc7iCgqvFP5C9Yu/xDT8jBg6PiOGPZ/5cuJAoQ0aG9rJjE5FV+04M9/Ej/xr1Wwbo0motoSgeDUaLzVAhBYT6ErW7aCuwecgUqH9OLRobywQtaBsQDUFgVBAxX96OlnDLRFsBq6T+TjfAfaTYgEyG/azMGcUWAoOCDhkICHIOYeFMpFOmAFIHIInHSBEbSRWNiePNxwLjZpVLOancrDQTWTDGHgKKVJxEICJyxwEHoLmZjI/HkfqUanmA1b9xvl5aWitLjI/svd93K4ptEsKcjg++ecwJz3V6k3F+xQt99+u3HO2Weq3/7udifFFza9pocb//gkhw438Oa7K0m0LBxXcca0EQydNIjmQMR58eVZ4qorvy8HDxmK67odVdsWLlzIL37xC7Kzszn1tBkUl/WiqbGGjKzcDqpugDffnms/+ocLLG9ynPSGguKsC080xo4eYt1816z2v9z1ZyPV2+y57uILrIQEv7BVgA935dJ+mU8rbyfqHrSjucVmNL4/cCAEAp1/g1b+bvT7hYWatS2W+qFAJCbhnDKJu//6ABPL+jNwSE8ijW2auQ4wpPx2HVYSwmFJU8TqCD8BkABGIzgbwR2oCNalsFdOIq5hCZM81Zx8UgPsM8DR/DGu7SAT4mmsqWf16s1kZaZR2b0EyzJRwZAmeYqG5Oz6FlJy0qmtbaKyLA8E1O2uIi0lEWXbCASW5WA3+igvauaW9E1M23aAx/eU89yThagZaCxcdPPpRCTeE10ev7OYqw/uJKdfK26bcVQIWAiBlRQvDlQ1ON+//rsJw4YMOu6WWwiB7aiOYlrl5eWUl5dLIC5GKQ6Cyopys7KiHIATp5zgPvPCy+Ky714QL6XRwf0cqz8RExNg9gCobYf7lsPCOUBfsMbpHazqgn6XRnS8HK/YTkzZRuPlKhOck4ERYAwCtoDndU2jaw9AW3gholV2osf40Tl0KNrSM6gt60HhHYvY1Hw21g8dInlodL8Bdh9oaYUeH8HY/fDeo9A6CBgUvTlTn9aJEQGpaPvmgnwBjGL0GtUKTg66kl/MIPkM1/+x5JNRh2Mdblja1WqfCM4oOrn+N0epi08B6URd/U3wnQrNzvYluR0+V2JpZ8mpGQwYOp4Nqxfx4TsvMnPqWbQGVIfBIYTgwN7t1FYfYvzUM6MI9v8q/68iKgro2bBqMflF5VFQ3mfEqv4NctdcWD8x2owkNC0qwE7gcZD79GYKMzpelUBUaeIfWoCIgIBm50SAK7YDzyA4AcOoQJCEkZyHPdhF+ATKgsSwJAs/1akg63S42r0Z3G7ozYMJjpK4ReBcCZ77ILJNYQ8wkdXtmAuXExFtBEQTuAaS4WxVZ7BJQQipM2QEhFxJ2JFgO5gp8WL3/ib1g9/e6Js0fph53Y9+TP9+/Txbt+10nLZ96keXfUdMHDeAt99dIZZvqheWZXLzH+6kqXqL576bLxah+DiWrdtFJGIzZlhPug2qYPjQHuQXZ0N6KpPGDnSXrN1jBKMldGMegNraWh5//HEWL17MCy+8QFJiAvGV/Vn8/mtkZOeTnpHbYQAkxCc6ptvuUUIJFXFwDteTk+3z3vHzM+TGLTtln4p8IzHRTzAYwhdnE3Tq4c4X4KdX6GfW0KDT0XQD9O9Zs+DgQZg2TVPWGgZRmkn9WwFSYBArlKNXLWNld/74vXKWrtjB6vW7+d5VMzVQ0DBwm1pxolTJQgiMb3A9iIVvbSEJComB0rQUCtxeAvsPYLwG/AvceJema3MJ5w+k6YXZtO9KwudNAyeEcl2MpASq91exds0WyssKKSstAClQYftTa5g0Jao9SGpiHAer6pj1zjJuTUkkfUxfnKYIhiFAgWm6uO0e4g2bScOq6NetiaIPAjwyt4T6SR6cZD2XldSwE+dkwR0bKrkzM0B+Wnu0zo0CV4MCH7nreXfhx5u48ec/M59/7lkyMzOP7g/VWbLbawrMDp3rAi6uklFAoonH1FiH2HiKT4j3fP97FwOkOE5n4Z5PlmY3ASYO1v8MOAg79sKzVfDk3cA5YOkS5TiAsxtkqR5HjqPv5VNeAjg6BdAFUjUtL6OAXsAe8Lyib9DpBm5utCUmGtEfDyBQSlBb0IO4khq63zGXre0nYg6ysS/RPn43DYLTYE8K9NgAf+oOs3fAR1vADENtPTAcDdGHjhRCuT3K7ueP3kMhuBE0w6Dq0vYvKZ95iKHDDu7J4IxGGz1tum/YClwHWNF+XgjsgCNBzSHwbUjMteTzxzNw+GTWr1zIwtlPMvGUi/S9KJeWpgbWr1rE6ImnYVrW5+aq/1c+Q6LGU+2RKoq69exSo+E/16T2AIjhn7B3G4FfAyaEC6MeKg+wzMbathVR3xtnV6fhoohyB6nDaJq591EswrZfQeBDxnfHLgcRUihD41kcV+ky7S0gkiAcmw8xr5zQ60pkOBAE80GBilNEzrYw/AMw3zsN12lDGRFc9tPiPghqJsgcCDsQMhCGjv+6CT52rd4XeW3+Bnfm9JM8P/3pDfTt1w/TNOU11/4g9OSjd9k9u+X7PTlpjB7Si9feXSd+cdMtdvfCFHn/7y81+o3oA5bBkH7dWLBsM2VFOfQf3B0MyfwXP6CwMBvDwAyHgioUCilA2LaNz+fjscceY/To0WzdupX+/fvruK/HQ7C9FTsUPupZSCkIhBwlXCUQEssEpyVEUry0Ro7qpddRy8KXqpizIYu9qx6H00vh/nshMVkvym3R9K4rL4cjdbB6NUyfDkOGdF4oNuCi/PRGg4uzVOrNSJ2A3XBDZT0XTu/H3h05zF+ynjv+8AR9uhfR2h7k7NNGI+P9UcR8BLutHUMa3+A41i51YiMsFl9PAHuCQJQCa0GkCdQgReRACXvtEg5uX0hBxQgsE8yEePbu2MvmTTvp17uCvPwsHdKyHR0S+oRIIXCDYdIrizhpwkA27zxIMGJ39NHRz0kXELIb/WTERfjl9LVs/lsis4ryYKhODFAGuLbEGqB4/vVCflO8GZnfjNts4Lg2Vmoid972DL+84xnxy1/9Wvbu2Z2qqioaGxspKSnpIAMSgmiYDrYchOfnQbsN8X7JwO6S8b0hqUvtlq6GTazapGmayjDM4z4dEzqpPyvy9WtQM5y5Fn72NmwN6m+ZNoxOg0Wvgt0b5IldyPC60BCr2A469uoSGsAPzkS0lusOqlYrYnMZEI6exwS+E70hW2GbPg71GkVl5ttkOWuomTcA724X+xyJU67HYWN/mHMYehyEf54JgSP6ek2t8NQBuP8hcMdBqBJNBZwNDI1WL5uPXnia0ZUK4Ssp/88TwwErD0J9o+cPoXmBtwAzgHLwbgZrCVyZD2OvhMIoudO3pSRiRoBhmAwYNpENaz5i9kuPMfGks/DHJfDunGcYPeFUklLS/pvu9zUk5jk5Ur2fzJwCEhJSgP+s+x/0QqXcLsNdAIvQc2EcqBDQoGCOA/skToNOuXFjgVkR20mGgMeAN9FuhHEgElE42HUCY6PEGUgnl4Y+iS6iFUcnm+dRjdO/IuP1cdbdArZbuGNOgNwixBt3oOo3IMlE4MMxE8B2EYUCusHhWh+7mn306ONznrh9lrv/SNj84JkHRHJKCrZtE4lEmDx5ojVv3lx1xc/uV3+/93rR3tjKx8vWiZkn9Dduv+V7oigtAbe1neaGVqrrGsnPTqOppZ2zTvsVE8b1IxIKk5wQT3leumhuqFXBUIhIJIJt6xv96KOPuP3222loaODuu+/mt7/9DdnZOXTvO4wj1ftJTsvAtHQmiG3bUaymiC7eLqbHAr8XfBZHtu7n3SWbsCOt/GVBJY1nD0Ccfypqw1rwWJCYCHV1EA4h/vQ48sAGnJ/8AMrKP2MAQOKbLjdkHEEEaslPCJLZI8TYwTWooEtxWS7nZiSxeMVWvB4TKQV/e3wOqckJtAVD9KksZMTY/hAIdeGP/nrSAfESMY+E6PxAgSoGivVbRq3CflWSVtkbv2cJS1duYuLkIWxcvYn9+w4yYHBvcrLSIWJ3uN2PJY7jIlMSmf/GYv71wvsEAmHsiNNRsOmTIgDLcImETOKNCLfPWMPBeT6WpaVBzJMlNXugOFHxizV9uD91FYXpbbghA6c9xOSpQzl7017h2CHn/AsukA0NDaKxsVGvydFrHGqDe9+EughsyYKP+2msmdEO+Yeh727I07hD/nga+Lpg34QQMUrhz1xkTOgklnGVns/ZSTB9LBTlw8b94PNChgX5ObDvMLx1BO66D+xk4Cww/Ed7zjsepNP5horG+fWTi7oUATUA1CH9mapHK+ETo59Z+ozBhHiq84aRxUc0lxfiLEvGMMG5SeLaIOKh+QS4523Y/zfIydWX8pqwbStY+yA4SN+tOAjGqmjb3kMz7n3LYgpgAIRHgvKh46ipYNSDuxy4FqQfnHfhn73glJGQ8CXz/b+q6Emhh1yfASPxeDwsW/w2zfW1jBp/Ctl5xf9V/l9TYu7/zWs/pqyy33Gpf//dImII1pjYYH0Mke5oMIuwIQTGWhNHgEuMbjSKDoxNdhGHJs1AD2R1fRSAo0GlquuiEPttRnE4rXSAcY9uXOf3I5PAzQCx3sGaZ+DsT0IVJ8CQ30LKBMSSQcgDCbg9XegvMIYp9hf7qT2YxZ7lc9WidfXc+NPrjOSUFCKRMJblIRwO4/V6zV69etr33fNX+6xL/mj97JoZPHDfdVRkpMi80mzc5jakAq9psGn7QUoKMpk6pi+uckmOj2NAnxJSkuLx5GfTo1uu2LBxi5h28kkdO7isrCz27dvHnj17yMjIID4+QaO6u/Vi7htPkltQSkZWPhBNVROadQEUZkYyzQeOMG/2EnbsrSY9NZ7SogIycjOo/mAs7iVDsCyJPWxopwHXrZvuOicNccl+OC8AKXWQmnbsXYSAcKCdhvdu547rxmNYIfA50OoBJVChMP54HydMHYZqDxIMhFi2djuD+5UTidi8MW8VK9fv4oyTRpCTndoxzr+qCPSYjCjREWI+yjgVgBvdZTsQt8LlMv8OfjR5B/neQRxu28obs94kLyuTgYN7k52dgQqFNaL+s64rBCocobQ4m3EjevGvFz/QzyMpHruhFbzymJtCy3AJtXmorKzjxPcPs3J/Kk63KHmV0DaROULx+pw8flG1lcKcZmTEgpDNsCHd+dttVzLh7N+455x7gRw4oB/JycnRqqD6XptD8MQyqDqM5pafDoyMltFxYN87aHr6pfDzKeBL+vJ9fhReXsbcLTpMwYAy/eoq5fkwPASnZMKuIPz2Odgfy/U30Wj6IiAHRIJ+jl3BD45LZ8xfgCoCp6jLBbqy98W4yYsVdd/NI/6vxZQmfMDmsWdgHXIwP4imCEW0K7HhVHhsXZfjAUrAyAcnFVgC8mWgGpwWYCOd2AA45kP+uiItsFwIDQC3FB079WnglEwD508gynWfWO0wob9W/rZDl5jPty36CbmuS2WvwXy8YA4KQWN9DTn5JbiOg3GMAhX/lS8mQgiElIQC7Xi83g7Py39arGM0QR5C11F3IxBnQTqofq9jrp+OLRW4bcBdQCU6pncI1BYE+xD0QTpnIYkH00FIEMXa6yUinVgzPEAVmDvA+V30vWPV6wBiRGJOf6C/xOjrIHYnI/5SjLtvJ+6MCagCYJuCSglNLjJLEenl0rw8L/jyrEV2bn5J3OkzZxKJRDBNrZwtyyISiXDaadPlwoULePLJp7BtxfiTRsKhI7iNrQhDEonY+EtyCARCDOpVQkaPIi4qzISQDYbECYYxEjxMHDciVF9XZ95zz93mySdPo7KykmuvvZYHH3yQd999l5deeomEhIQOcKBhWIRDwS4ZNZK4OJ8QhlYAT//zLVxXkZmayJihPcjJSqFbUR4km9xxVQI/eFTRHAD5fReRqEHbmlRN4I7vjbrzYvjwTdiaCBdcoIGAx5D26X7m/Oo7/Fk24YZNVMhCyigmQAiU7UBrO8Iw8Hosrr5wKpnZqSAllmnwxMsfcsmZfpT7aYPWdd0O4ODniVIgTIem5jjmtORCBRqZcKzwsg3SUoSTJJW+ZkqK62k5GM/ewy7z5tZy2hmVDO7RC+fALqTh/VyYjZQCuz1I6YAKindVMah3KfM/2kBGdir9B1XiNrZq0OAxxDIdnHo/l0/Zy7yPc/m4WyoUattZomCh4Ic9d9CrqBnCJkK4CFMSOtJIenkOleUl9ocLFhg9ulcIv9/f4XUQQlKSBK//EJoCGsf23mF48Z9QHdKhgTH5cNaFkH46pHzJMu4xOeaqLoQGq7mqS3wwCgxTCuK9MH6ILnYzIFsD8RyhaW4/boa1G2HHUtjTCgEnepUMoCfIXnTw8R8lMSj9J8epAEyBPdbgQF1/Ku6po7J4Htu2TMHChvGmrgSoQHiB4Z/W48524KboZRL17l8t5Aul+X0dESaYEYicDKoEvdvxg7kS1DSwxwPRiq8GOkOgqQWy07843e83JTHg0rJF79B30BiKy3uzZd0yFs9/jdGTTutgpfpP71r//yY691+ye/tGcgvKSEnVQJ9vqh9jqWZfRRI8aIPbUh07RBUzwH0WrH8b1v4DN1ANM6djviKwRTuoZ6JfygB6IzxpqKLp0LwYd9w1qPgov7zQeB4Vuw76MLETDR78HThRwO5Rnoho6NCkMzVZvydw+gvoH4coPR9+9XvEz6ejzvuBYuBQgd8Lqy2c3hbebEPdcc+jckJFi+fWP94lLY8Hx3GO4uIPhUJkZWXLc885J/z8Cy+LcCRsEYkQag/h9WpDwZAS2oLc97vLSEmKQzW3o4JhpCFQYQfbcZFhGzsSEVnpqeLee++joKCAyspK+vfvT1tbG7W1tXiiCjh2/cEjJrNj82p8cUmkpWdSUpxvPfn66sgNOenWE8/NF30qCygtz6c4KxUjOV6DJ4Ih3AabC/tspJtZTVvE4Py/jaB2kgc5VKEcoT2tykWN9cCqKhjZDzwenSIdBUgeJdkW7RlTEPIFcGQHdW3Ho4iNU8dFSkFmjMUuNZHhQ3sw5/3VJGSl4DS1ddDQamS6wvB7tZHUFkB+3tqhQHgdNm1M4vEdJRg/VLiO4FNgcxcwwW0XhJYrmrKTobaNV97Yx+O+09j2mxtY9trLbLvzXa69fCAiEtSlpj9nvknDwK1vIT87jaKCTOYtXEtpfiY9KwuwTOO43g0JhCOS4qI6es9uYlltKqoQhKOQXkVkieT8oftIymjDbfN2MBOalqlUY7P47S9/3HLj7/5unDHjNE9hUeFRGVY+E4YUR/MLgTHlcP5+DfUwJORnQ0H2p5r0peQzt3UxvEQHGCP6O+YhMCQMrDj6mClhqGuCxlZoboGQC2EBO9vh/R3w+nwImZCQAK6pMwJCQ0Bl0olE6trPMQvEUIRP87GraCxlW94hd+xKqsYPRgoHNzFaLyB2TBANZpLo6n2vo+P85aCq0DnLDXSCGL4NkTrX35nYGe7A1mFT0QrOFFBlIMKQsA1a5sKl3XSY5d+tY2Pu6N3bN9DSVMf4E8/CtCwGDp/IlvXLeee1J5h62sUA/+UA+JKiXBekYOeWtfTsNwyv7+tT/0LnMzt8+DA5OTlfyQgoy4EVe4DKzrYILxCKwBs/hN1vQvlMODgHd4KLsa0RseFclEgAdT/QjDBzEWPKURkfoBa8ihqRBOFw57x16KzfIYFa9KrzB3BjtOBdQcMCjACIRWDXAieDlaL1n/YcSpQJqn8OPPxbxIPzkA88JRzf9Yj0M3CvvEUxLSjUNZeL1PYdnh/+z92UlZYcZSjF/k5ISABg3PgJxszTT+flOYvcKScOkxlJcR0ueSkFtLbTZ1CFdssFwhpIprRylFIgwmG6VxYas+a9Lfbv34/P5+voz4suuojp06dTWFgIaBS2cl1S07M4cng/xd16A/DjH/1Q3HLLLc6v/vCkec70UWL82H66FkEwjNvc3pGVI6MxlVH9D4MBb8V/yHUfD+ajXWnIc5QOpRpSVw0rLoYePeCG6zDu+jOusj6tVF04MibCHR/15IahW5HqOOtPLBQfsdm55zDP/eV5cjLTGNC7WNei72JYCcPASPCwfuU2GppaGTdhAAQjRCIOpvFpQ0ABwlS0N3mZ3ZRLUz8L06/oyFhTKprKJcAwUCug8L02fjuimhNT1rDk/XWs3VPAgvZNKPEhRw5XcfPC1TS2tfCzK4fgk/Jz55wUgOPQs6KA5eu2kxDvZ8nqbYwcWEHvwd1xW9uPe7xCu/y9uDqs5YLhhcgbkqtzd9GnqBlC5lE8AFIIoYJh+vUqTNiwboW5YdMmCosKOXz4ME1NTXTr1g0ppS4DHA3Nx/mgf8Wnr++4X33D+JX8ujEPAXTiBmLvez2Ql6lfXWUKMLMerq+C3fVw31yorYKmCLQchvZL0YvFsVoUs0BMRWBoIvvLhlGwfRnN3Qto35CB5yEXkSF1XD8MbgvQrkMDqlrHi/ADa8E4AlRpj8W3pvyFfiBGDkT6R++pFcgB9TzY3weVCygwPGC/B4+XwykTIeErunI+KY7S65UQ4Pkc3SCEoKmhli0bljPuhNM7EP8+fzz9hoxj26ZVzH39SUaMm0ZSSjqOY2MY/w0JfJ5o6l+NkDYtE08XxfB1JbYYpaamfiWDLOTAxyvQccW6OkhK1yA9jw2hNtj8KtIdhLvvbbxxc1BPSVyWKSFahVKPA/30PXqByDOw4SWY8ZjOYxVWR42PjhBbdP0WARC5QB8QoejxnxB3P4xaCWdOhoeeha0SzO+Ba3Xa7G7IhfxM1O/PRxTkIm/ZhrvxPtRTy4RRlU/4UE/GXPI/DB08gFDExWPqPgqHw3g8HrZt3eI89tg/3LPPOccYNGiQceklF4YuvfR7YsXSDZ5TvjuNyK5DSJ+HWNpcqKEVw4gCq7qEbwxpQHM7Z5000liwbLcbiUSUITXq2nVdJk2a9Kn67ipaZTE9M4dAewuRcIjBg4fQ2haQR+xWOXxgJQiJ2xpEyqjS73o8AhXw4CoY0ruWJ5I/5o5VPXnk4WKMK/XOWc17D846C5LT8Pc5g8D9HsS1YBgK1xad2VsSgpMs/nlzMT8btRE3bEXBd8cQw6C1uZUX3vyIM6ePxg7ZlBVlQTiClEKD6UxJa1uAJ/75Fo3NrfSqKOIPdz7Hjy/7DvFpSdqSC4c7wI5AFG2vMByBY0pELKe+A54kwLT0vxFFwj6H78UdpKz6Ue78x3KSEv3YHh954QEcjKvE/HkiatwUXvzXU/R8dxOnnzEE1diOdRyqU9d1kT4vu7bt508PvUZTazv9ehQxbGAFBaW5uMHwZxoPQoCwJdmpQTx1LmEpkfsVPXa28sORO0hICaKC5lGGlRBgK4GULXHZmamOEIYKh8MiGAziOA6BQIDExES2bNlCSUkJPp+vwxPftduk+Hre4q+9isdwAzGJNZIuv4kaDNlp+rVlNWzpCfalEAyCmxD93udtYpRAuIqWlAKaPNUULV/E5sAZGMscwqMUKizgAKgoklm4IL1R4F0L4ER1fte4/zctUSyEjIAzElQGENAYBfmqTgNUZwE+iN8HbbPg1CQ4/xTwyM5Qy9cVQ0BMR4dtXeDsWOd1XRfXdfjwnRcZc8JM4hOT9W1E4z1SSnr0GYI/LoFli+dSXNadip6DcGz7v7iAzxFNoSzYsHoJeUXlpKZlAd+c+x8gLu6roUVNCUf8QIaCTdWaIMYCZ58JY1PAbsZ1F8Lh72J7x6EOrkN5/ij0ROpHB61n+CZUfT2MvwHSB2I9F0JkSZQDImKgEiSRXuh8VgNUA53ZAJ9cuGILfh5s6wOhTfDuTHhuDfz5cahvgogXxFngyZXYrotC4F4xEUa/Ag27MQLNiD2pnFU6lJ+dqYuhWKYmr3EcB4/Hw7vvvqvOOvcCmZ2ZHrjssu8ZQgj/1KknmT+49prI9b9/IJKQlmSNmzwYu7YJMwrE8aYna8UVCGsDxHUxDImQAjscIaM0T8T5LQPA59dWTazgzydFRFNA+w+dwIol80hMSSMtPZvf/Pomz91/+VO4tr7Jyk+OO+4w0fF5pTPxGg3KMxu4bdw68pe2ccudPZE/dVF1B5FFOQhMrMbx/KPbMq66ayBNvS2sk10cRKc3IA6OZHhZXZNO/+Tm47NTCHAdxe691dTUNjF24kBUU3vH942kOAiGmfXWxwzp143M9CQyMpJJTvDx1CsLSErw07t7EX37lGrshGkgpCAStpHKwJsUZlR8HWobiNEKEVEoj4TaWvjXvxAJ8agrv4/TQ7Hyb38ibuBBzpxxMvmZCRg+yeTWJG7cMoQtARBndWfbazs4snMBZtIEInWtx9WUQgjsUJjMsjykkLQHwvSsKGB4324kpyXitgY+k//Ekgq7xcMVU7az6NV0FvbIJDRHcnPZJipLGnBD5jEp3JUC/BKBcvr07S09Hg/Z2Zls27aNxMREDhzYz7333suvf/1rcnJyAJ2y+E1Sh3zjK7genF3+6SKuqz0GOZaezLLsE5vwz7sxAcoQ4Aqqu/fFv72Onq++xebeJ0OerZERYXQaU5RAgWD0FTt/V4DRtyCGBCMCqg+4FdHrxWvyFPcsUBeD8IAloO0NeLwbnDi2E1/xdXVD7Bwrq+HRlyAzG3535rG/GysENOelRxk88gTSMnKOdpV1aUxxWQ/8cfHs3LKWqgN7GDfl9I4iM/8tCHQciab/Hdy7gz6DRncwv/1vwFEYAuLTIICAghJ4AMxNLk7VY/DEbEjpgaf9T4TbQjihAHA9hHOAYcSISOD3IJ+DUW8gKoZibQX7Ua8GEdro6po7wTMHWKFJ2swEdDGvj0CNoDME0IUVVCVAzTi440XouQ/+5yQYuwVkGPa0w+9mwQYHOF9ipuv7UX3zkOQhgPBS6L0VilNdQrbEFJpy13FcFi9a7D722COBu39xhnf7gQbvk8+8rJITvfTp09e44YYbnMWLlzqvv77AGjGkp2a/i7q077n7BQb1LWPsxEFI20F6TGgL4toOhilpa2i3D1bVGKblFfHxupTy8Z6zQBsQ/rgEmuprUK72dU+YMEHc+MvfsGz9Pue03EwztrfSGVUuChVl4ov54xW+vFQIREinlZ+N3Ub20gBX/2kIVFm489ugJplR7dWcO3QvlclN/ONgKQ/8sRx5DRgpUW+AhMbzPPzq8b7MueoD3KB1lLu6QxyHxEQ/v/zh6azduJff/+EpbrrlUpzD9WBIPlqwho+XbSU9M5lho/tCJAKuy8SThhN58yMee34+5502Gtd2MBP92K0BWpqCpJbmoOrbcEWQDDMMrS7KjrqMAiFYuhQRH487cgzG3x7A9+6HbGz3cvHo8xg3KQ2CAnAocQ8S737Ar9/pz4bXIgxPbOadRatIuOdlvnvxSdjNLRiWySdvTQgBtkNiWhJnnjKC2+5/BUMK4nLTcFqDnwtiFCgc2yA3o4lSs413b8rmd1M2cvqAvUhH6PjAMfpTCgFNbZx1yjguueS7tsIQCfFxtu24GKZhmFKY7817S/z617/+1jBY/9YtnBB659EtCcxmdL6kHU0H+qz7isX/Ys/BUtjxPvYMGEfFjnco3ryIvf4xyIM27kKzA/CS6UI+0C7Ar6BVwSE0C3FsYn2TYpra7W+PALcSlAn4wZgPznRwL6fDyxF+DgYEYPoJkOb/5nb+Smkv291vwVNDwV8L6/4Ij90A6V3crTqWb/DuG09T2WeILvDzGcpJKUVWTiHxCcns2bGBua89wQmnXqArDTo28r8hgaMkBqpsaWkkITmNuHido/OfV/1dJLYTXxwHH4KbIlElHnj9HTjpbzjvPA2sA54DVgMvAEPRE3EH8Dq4YVj6F9S7bThtPlzb1HHA1BT41S9gYDZqgIJWDTB0F4Jcii7dPRLtSJAc7Q1QIJOgfhTcMQ/69obhUbDsUKB/Lnx8AO5/G5btQ6dIlbs424C9MLIApk8SKCUxpVb+Ukosy2LZqnVumqfJvOSGO+S9v7vFfeadd+Wo4QPo1auX8vr81qOPPdR0yUXnu3NmL4g7/bIZKrinSlgexVsfrsXn9zD2jEnMfeptDtc0csqUIaSmJqKkwZpl21zbMYRpmkY4rBGPn5XpEZtnpZV9qTtyiITENLw+H7+68X+sn9zwYzWibxF53YtwG9u0BzUpTse/m9o0yE4pjHg/P/7hPYwZ0oMZJw3HbzlcOXo3GT74/QqbyQ0HyfZXc/ppu1C2YFDvWsry2jkz9SAX/nMYB/P8mGdr4h0nT7DMl8r6qjT6pB3HC6A0Yr60exGZqUnsOXCEf/79Db571WkcXL+Lt+ev4sILppId74WANo50Cl6ISaP7sHd/Dff/822uvmgqb7+1jPVb9iIQhG2by88/kazyJCKBEIZXoswoGnzLDsS2rajrbyBr12byAvVs+emPCFZ1Y2dNK667nHCbD4/UTLUn9KihW+rHNLUKIj1NZvv6UVtTS/WBQ2TnZuO0BTCso8M4EGXIa2xl1ODu3H3zpeRlp+FxXdQXnLBCKsKNfm7+zmZmlh9iXHktllehPhH7/9Q124JcfdEkq2/FOpRyVWJiguXxeGhqbhM7D7Wq12a1cc45ZzsLFiw0QX3jG4h/66qt0HFpR0CaD2qC6Nj8592PBLrGCg8JrDcV7p44qo6MpjDpQ9I3bqHunR6Igw4Co6M4w3cFZLjwsoSAhKCCg5/MOf66Em2/tMEZAc4wOssgHwS3GNQ5gKFTAtV2OM+An58HCV7tFfmqVf4+KQrt7l+5HLhIZ2G8JqB8HtwxLcYCqpXTkg/eJD0rl8pegz53YMVS1+ITkujdfyR+fwJzX3+S3gNGUVhS+d+QwCdEg/8kG1ctJreghOTU9P81u/+Y+KKlq8lCh8dKXNi+FxLyoWIizuzLQJwCzEJTVgbRnMEACYAfPOOg+zmI1iScaQYMcKG+HaoOwo9+C39/CLeikzvczQYnHZimQ3TKACK6+JXpgWA6OkvIBVEOKw7A3f+Ee66FYEQjoyuL9WtUCdTVa7Kydw9LJnaHHgMhOxNKc6LNdB0sy2L79u3uH/54uxNoqRXleQme2c8+KVau3+2cNHWKuvbq7xt+v18AKje3IOEn1/+09be/+pkMI3znXnQytAX46ZWnkpedBk0tZGYk8/zsJZQVZzN0WC+8cV6aWtvcIcNHyPc+WMihQ1Wf2/exwlzdew/mw3deIiO7EI/Px6nTp4vLvn+VuO6WJ91bf3au6FlRIFDw+qxFVNU0cPEZ4/HH+5ARB8I2500fTWZ6MoZEl6d1Hc4cd5D3X91NcPbNnHLJBMrT08E2cNs9pMSHmDD0EO+kLOSFvYX87taeGD90IUVgI2kMeT57c6RAtQVISI3nvNNG88f7Z1E+bwWDuhcQsV16lOdDMBzNGohadREH02NxwRnjeOKlD7julseZceIwxg7vSVZOOju3H+DpWQs5dXIFRaUnY83fTOih15GNAicYQJ1+Bt2Wf4DvSBW7L/sB4ZQM3JWwf/dOhAFCSKSMsu84UJrbqMlXRDcOHT7M48+9i3IdLrvgJNJys3Ba2z4FmhUCcBX+eB99BlVCOAKhyBear64r8fhCYEqem11AbkEA6VeokDyu8u+4JpCQ6BMnnToGDENXFXJdwGBSa0BZhMRVP/+bPO+8CwKP/P0hv8/v7wCxxkCCX0f+vR4AtHLqXggPTYLTXwbzIg3wVMdqScw9uByM28CsBLdBt9qxBMKvaDazOLy3H1n7N9J2MIeQkxhdWSQeAXskLHHh/ajrPxDDJ3yTNxUDRZaBU4xOL7RBxoFaA+q3EONQcWxw34TiHtC74JttS4zm+94P4MAJaNIMDzAYts/RngFLaCW0beMK7HCQ/uNO0rfxBQa66BKnKOvej7j4RPbs3MSureuitQI0rdx/6wVoEULQ1FhPYUl3pDT+V+T+d5W42BrYDx3aN4CaLXr+JBZhJjyP3fqL6JeagbeAk9Cug7eB25DxfXAH5KH2gRgMKpbxsmEDPHCfHtxhV5NaSCAJVB7anojmrhuN4H8E2jOBH0TfN/V6HhoLjx2B0qfgxxcejWfplq9fw4BpLZCe2HlvMWPLtiPq3nvvdR9+6EEZaGkwIo4tiqePEXt37KKuVYgLRg4TmZm6NO/+/fuFx7LMqSedmmCo9rZHH7pPrlm32/M/V81g8sRBuMEwtLQyoFcxt1x/JgV5mVCQx8FVG3nyxXlmbtlg8dJLLzN+/DiAz12clVKYlodQOIhtR0ApmltaKMjL4uU5H6kJI3qKRUs3UNvQysSRvclISeAP973MDVdOJyU1EWyb4WP6asL4cERjTjweNqzcSWGmwYZt+0j2g7JNBAopFMqRqHaD3t3quTGnjUkp1Vzw+HCO4GV8Ui2Ds+o/1xsphEBFHLLzMrju0mn88b6X+bA4m0mj+uK2BzUXf9d7F4DjEpfg5+IzxrN9z2F6dMvHG+cFy6SsvADDWM7DTyygovww+fuy2DtwOvZEgTfkULlvLS3ZBewaPZVAShrSdcCU1KdY2M0+PIaLUqJD2aqwhRtSGB6XscN6UNazhNdfXcBPb32cW39xMbn52TiBY7j2BSjHRbUEvrC73XYlRlyIx1dU8OyaIj6ekIpYAP0879O7Vx1um6cj9e+44yBia7bCo76mMCxTXHLGOIaP6CV/d/sz1qWXXhp68aWXvF1xJZFw+Cj9IaXAdVXHc4q9ZNfQURf5txgAMXeSo+ChD6GuBuJdSPwYWs+lky5YHOMgF8R2kEcgUg4kgKoHtRUd+wm41O4txx9fQ0nB+2zZPRMhNAVhSAk2GdpZ2RgjH/omJRq7NAHDhUg/UFGwEwYwB7gS7eoU4F0C5dthYA6c2V/3h/wGMR2u0obIs4ug5Tp01UMFJMDeAxpkiBDUHjnIru0bmHDimUj5JdPHugyinIJSEpJT2bl1HXNeeYyTTrsEaZj/57MElFJIw+Dwgd1kZueRnPbN5v5/HYnWcdFToSOkBlwK5j1N2HvegNOf11+Qh4AUtL8+mQ4kHxvQebTfw3TAqXJxHBCHld6FHqqCBx+ERx6JWv1mx1zuwORE2yGkPuMAG4aVwz0faiPCiYYGpA/apsBdr0PFGjg5Om/MqC2q0HMopvxj3CVRHnTmzn3XefTBe5V0g0ZrICSuvvhEfviz83AON/Hh8h00NTUB+tlUVVXh83pVdk6OecLUGe76NStCL770iufEcQOYVJqjU/IcEAYkp+W13/TXWSxYutJTV9PIpu0H5KOPXizOOOP0jr7+vOcd+7z/0PHs2bmJjKxc3njjdSoruwVcp83bozxPlJflEQ5FKC3MwkqK46nXF+mceo+FG7FxGlsxTSOamq2oPljLW/NXc9ap47jQ5yEnI/koVH8MQOgGLfwem/GDDzMvdQHhsEFmZog4y4kWd/hsEVKyf181z7y6kJ9ecxoApYXZms3wOIaPitjEJcTRf0h3CITBdnRxHstgwujepKcn03R4NxfZqdxs9SEnZzN5H65j9+DRNGfl4VgehOuipAHdYf7eLGatLOSsUbtx2jyYIqb4lN6QRSKkpSeTVpJDrt/L/U+8yXvvr+CCs6cgjWPn9gs4Zr2A44mjwPA6LNmczry+WXqtr4IXDhfy08JW4k1HGyef1ZfRNhzdFIGyXUzLpE/vEu6/62rz3Mv+zKQp08KAvPx7FzFh/DgzLy//i7XTtnFcV32SHvjfskpHvSu8sBpu2gzh8WDt1L9RdDKEHeNAUa+rkjnDdbiR1/UxHCAawxQoJIfCQyiNf4+K4jls3zsNKW3qXZMlYbBV5x1/UzaAtDTSXySBOwwiRdGiRhYYH4NoB+dHoE7TC4YEQh/CH8fAmEGQFv8NNeQY0hrhKEIlEQe7DVhd5dI322bhvFlMmnYOvriE457ji4hSioTEFPoOGk1SUipzZz9NeWU/ynsOxLEjSMP8X6H0/t2i8RWCLRtWUFLRm4T/JdS/MQMxNhlE19l/Jjip8Vi3vohMOokQYez+fZEL++OKfFBrgR8CS9DegEsBiLS4GBtA9hUYNQpXSA3cWrMGHnhAl6g1TXTOK1hp0bkDSAX2Ggi/DAMGw2U94a6nwTs+WpxLe0KxsqBmJLz7EXxngN7wmjKafhVtfmzXGlu7Y96WqqqDYtfeA6IoP5v6xhbCIRurLcSKddvZsWu/cd31N0aef/4F+5prrvAOHzYCpZQIhUIoJZJawz6nrq5J+XwegaPjr7Zt4y3K547rH7TuemSu+Otf7jD69euL60TEgP79O679xTxqEuW65Bd2Y+PqRTiRoPrTnfeq2sO7PAglM9KSKKkshLBNpC0AwJC+ZWzdcYjU+mYqyvORfh9OQwuGZSBTEln6zjIamtooKczCiPdpd/wxPE9SRI21gEnP0gYNUotIjdT8PDEkTY2tPPTUXC6aOY4evUp054dtcN3jKrtOZkG7U+lJDcCThqR/7xLon0v8llT++eobJJUF2T5kLC15MVep0saFC9KnOJLoY9XqZM6eHMZp8WB+KqtEX8+ubSajPI8+PcpY+NFaRg/ZR2lJkdYFX3NeKkAYijjlIMr0eJQnKe55tJzT9hxiUO8a3MBxQJWfI0Lo9jlNbWSlJ/PEX68x9+6vdh2kePDpx3n26SdsVxnKcYVCSmVZFlMmT4hs2rjRV1PXaGRnZ4pePbrTrayUk6dNwzjGXvPftk0TAuIUNNWD6AWBIvTOw/qc40IgmsEx0SQiuz/1DRAK2/Gx5+BEyovepjhvAXsPjUMIm1b3G75Fgd6ZRECdCG5/nZ9Moi74o+aCeza6mEp39LrngjMXfjMYThmlwSrfhgihq0W1+fiUpdMyzOHDPQa73/87oyZOIzk185jn+HLX09FCKQ1KK/sSn5TK3p0bmf/Wc0w6+VygM9Pg/5Jot5vEcSJ4PMdIdP8PiRSw7AC0NEJVKzTVdfnQAnWSB/nPkzCCQLwH0trAUOBuA64FDqIH1ig0FkChIhK7GkQfhUoW4AZg6UfQT/MExJSP0Q7yPWjcDLkpepOp6mHMHLj3u5CZAblxcFs/+MVfIP567Shw2sFdBbwC2xOOOuVR8sk1POZ+b2pqMoJhm6qaBqaM7Uc4EmHnlr0MHd+fG4MhkZ6aYL4yZ6m99OPV9qSJk81gMIhlWUgpjY1bdhrduhXb5WVF0m0PSFcprJQEFs1ewsoNe53HHvmbcf5553xqUf08hdLVQLAdB0tKVq7eyJ/vezJy2ekDrXFDz5AIg7KibFRrAOH3YKUn0X6kkcbmdv710nwG9C5jyYqttLUFueaKU9i9/RCzH3+LlpZ2rrnkJJ3B0B78bFxP9IcbjFWfU1/MGyl0zr8hJD2GdMeua8aQX8xlLmIX7dofgLIdZJyHxrpmanbN44yckdy/40RCQ5IRtkKZovMhxw7Pg1U7U9h3IJWChCCuIz/lbhdC4CoFHovMtETKSgvYtaea9vYwfQb1wm0PIo7DD/B54iqB13TYfySFbeFEjTsDRJyiSVg0RizUV1D8nxTDkKi2IAUlORRU5EuEQVFuKk3NbUYwFFYxl39Tczvzlrxv1B88Ypw7fYJoaLYjO7aviSxdulD95a93i5TUtPA9d99bDXSPnfvfGgIYVgrDs2DNNohUfI6nKdZvNSD3ouOUh+mIuR+Vyqf5L4nYcew+MInSgvfJTl9HdV0/zRSoviEFJHWMXdrgDgF3FHqnHSPCWgTqUlBnoEGLrjYUTC8YVTBlpFb+3yToLyYqes7le6GphKOfrOtg1hq0Hn6UASeNIye/jE/HXL6qdJ4jK6eAxORU9u3azJsvPcKwsdPIzM7HsW2kYfzHd8D/DlFKg592bFpNdn4JmdnaRfe/4d6X74cLHoHWoRDyQtO1XT6MgHE/2EmKcHgpPPs3aDuMq9aAakLTZz4D/B6t/KPAPqER0EYohN3NA/WNcP/9MPv1Lrt/jd0Zuh3+Mg0eeh3MZ6FqH5w6GAbqGjYo4IYpkOSDa38NVhJ0T4KZlTDpMihJ1+Pc+yVWLaWE+s6k/uqys06QOTlpdKsowG9IElMTmTK2P/c9Pkc+++oC86aBJykAn8/Hkepq93e//729dMkiWVtbKzZs3sWkmWMI7j6ElZKoXn75PTFo2Li28887xw9Ytm13xFg/6zk7joPjOJrdrYPzXX8WsM1A3aFt1ux3j4jLzh5LQo8iaAsQqW5k1hsfsO9QLQlxXk4Y05cZU4eSmJzI3Q+/jmUa/PneV0iOj2PqmH4kpySQnZMGsXK2X0A+L0Z97H5VmvwnbHfUDfgqolwXYZoIQ7JmxQaqDtcxclQ5qVXJPL/Jz5FqBzujs0AO6N/KFdANFuzP5JXFRVx3+kacJt9R96IUCEPiTYzj3VcXsnt3FeecOpq4lHiWLV6NsX4bPQf1wmlq+UpMmo4rsJIiPPNSTz4YkQEV6PRzKRBpcER5EREDIdTXXm2FFKhACBUAFJSUF9BhdcX6PmIzpH832dgc4OM1u7hk5kijtT0gW1oD1NXVs2tfjUX13PyuiPp/WwhAKchJgz+NggnPgfEbdLre8fpd0ZkedAgYg1b6x+1JgUARDKdwuKY/OZmraQ9m0NKWixAu6rhxhi8oEqQLslhT+6rSaFs00yvW2xC5FNS5dBasMMH1QngTuG9DuF+Xe/uW9IETdZvGDCipXFxp0OejF5hxYQVl3WON+BYaoBR+fzzdew8hMSmVjWuWYFkeRk/SMcL/C94A11UYUrF39xYqeg3C8vj+Y+5/RXQ8RGPlwQjsS4fwOLTnrSuHkAvGbAiPUXq+Dbwc7ADsPBlkBriL0PzayRzF3xsPdBOYiT5sTytcdS1cdSVkZkYD+fq+lQEiHYoy4PQK+P1YHSnIztMGMWh9ZXnh6skwpkSD/eJ8kJUK/i9JoqiUngiWL87t36tEzfzed2TowBG8iX69kAIfrdyuXnhrjXvq6eeHLrrgAmPnzl3GAw/c57791ltqSO8c8/yZo+1Fqw44N/7pBe8fpWLsuAHY1Q3ikvNO5vaH5yUuXPSRHD1qOEqpjsyaY7dFhw4sy/qUonFdV0UiEVFcXBY+WNPm8Xp9HDpSz5oPV7NtxyGSk+IY2q8bza0BpozrT3FRVodRdfGZ48nKSuFXtz3Nb358Jjn5mk9dRZXytyFKqY7CP82tAdzWdgzxxcMenSfSmAUZ56etsZkPF60kOyONkaMHkJKQwOC0Ov5Ys4aLXxyG+QOlWV6Now5HmoqQaVDV6EP6bCINomNYKqUQpkFLcztvvrcSlGLG9NGkxfmQlsmIIb35aMV6vH4vZT3KdOXHL0mp5wIYLgfq/QSHGVqv2lHv1gR4+N0yRmfVUpjTigofPx3wi0pHVUMBKhDq6IeYSCHIyE4nI0vxxMsfYMoRMj0rmfTsZEq6FzB4YNjADlvs6HLM12rRl2q8VpTje8BfR4LzLzAMbQR8SqJKTOwB44/RSmCx5P3PEIVACJfGllKaWkooylmCZbZHr/8VO1+A6QOvC2I0OGdHXfsmkAzyIMiPIPITcM8HJIgoitl9DvL+BFcfgHd/DcN76VN+myB5ywQzCrBCubhSUrx2MWFvHP7iMd/eheGoHUdeYTcGjziBlLRMZr/4CK1NDUhp4Nh2tOTp/3sSUwKOcvB4ffh83xCv81cUgY6Vm4ZWpv3LIMkBkaxxIR3iAn/UXjkMCbmDoXQ8HFgKKhld3tODtgx6chR5f2oYVbGf8COVcM5oGDAALr5IK3/DiEXoIAH258E7ayEzBQpzdCpfsqXXhRgYVqGHUb9y6FkKxbla+XelQP0iEvuubTscOlQrCIXwmgYqECJiOyifRXV9ayQzt8TZs3uHd9mKFTLOZza//+474c1btso35q2QY4d0s/qVJ3uXr97oHq5qcL3piZheA2X43dVrN1h1dbWm4ziEw+Hj7iCVUjiOg2VZ6tVXXw2ceNIp4WFDx9hDhg5zL7zwAg4ePCgsy+Kdd96Jr66pl7lZqXzw0SbKi7K5YMZYZkwdyrBBlbz01lJ27jmsCYGCYVQwTPfyPFLTkrjm4hN57vXF4Dg4oW9H+du2g+04ICTSY2JIyRnThnPnA7OQHuvLPZuoC1T6PWxev5X3FyxncP8e9O3djZSkRJyIjenAWf0PcmXcLpx5AlOqo0tGC73e0w1mJ+Uyd1kxZlwYu2vivpS0twcJhsJUlueTmZ2KEedDxHlJSEumX89y9u09xOG9h5B+n07d/Sp9YwhwouNXgnIERr5iQW0Gh+p9YH7zzHMd6P4uL6UUynF4a94Kxg3vqTEXoQgqEEa1tOv0Qnn0nv/fywOgNCBuWnf4xQrN7fMpXRDdHctasJ7U3n0nC4ho0BB8NpGfUnolOVzXH6+nmW4F77Jlz2kIETvqS0yPKMrfscE9Fdyh0cONKHp5HqgScP4AakD0GEevofYGmCnht6dBWSEkfougP9CLpuvCoALwPw7M0Kio5IP7SDm4h529ZrKl3qDb1w/9f2FJTE6lZ9/hpKXnsHLpu5gxb4BSuOr/vaJCMff/+hULyc4rJj0rD/jPuf/bbPjHAmhtg+Y2WLYammdytDsVQIG1GiKDiXr2PXrQl0zBLDBwDjyJIgX4DbAPuB9EhV49+nsQGYUYlX/G5aewdKU+Z8wAUNoAEAZEkqBmL3RP1W1wHb0edW1K7O8Ymj/25pftwlif52Smq3uXbFZvzVponDxjDJHaJiyfB1XfztvvLjUD7R5OmDxWPvS3v7nrN2z2XnP+aOuXV50sDtc08uGSdWLNpn1OeUV55OW3l3uXr9sbWbd5j+uNS+Hyq66zppwwSdx666289NJL3HbbbZx66qnReu6xFEQ7yp9h2xdf8n2net8Gzw8vmSLyB5SLC8/4hbDdipDP623+yY+vS3zxpVd8N14zkwE9cxk+qBfFxbkIj9lRF3zEgArqm1qRsVoEjgOuwg2G6NOrhD0HjvDgv97m6ktO1gvBN5ByqmPL+jxmWiIgCNY08Pobi9lzoIaI7bBu6z42bNxDz+6Fn5s+2OEp8fuJtLXzwXtLiUvwM3rMYFIT9AKpwmEMKXDCJr70AGfmHeDhHWWoKXocddyVAOWCLFBsKkxi4ZosThyyh1AgEdOIEiX5POw9WItC0a0gE7xennr0DTZt38/Prp1Jdkk+za3t7Nl9kIR4P/EJ8Sjb/tLz9ZP6SCldCjjilYQ+l9/+q4vjdF45lg2D45Kfm8aOPdW6r7uytB4LDPqtta6LqOi13ehLKl0h8DiefP1aD2oBRAag8+qFVrqfb7EI7V5yTfYdHo1Skoqit1BKIsXnWGKxa0u0u8lFVxD8LriD0BdXYKwD79ugLgTnli7KH737NySYy+G7ZdC/h1b+/44UcCUg3oJ+mWBsVRihMOVL3mH7mJNxw3EUJn/7bfhEi5CGQW5hGYNGnkBSajqzX/w7zc0Neqfs2P/rcuO/ligAQd2RKny+OAzD/I/cX+yS/1oKN+2E3+XAXRUw//sQHoYe4w7aArf139KPDgvEAz60Zt7xJk7rSyhZBVQBjwILQb6FVGA51bBqPOrZ7+PUPAndBsLIYVrxd9kRuwrcZsh9G84dD62BKIL/eGsAUY/A53znsyS2iBcVFzmFxcVOU3MrtqMQCISCW+96Wu2oipCakiAfffQxCosKycrONv1eIc+66ESuuGYGWRnJtLSFI5dfdrkYNXG6Si0YIG++7T7r/gcf81xxxRUyPj4ex3HYvHkzK1euJBKJdFzfjaZcGYYRnD7zXLtfftjz8F+uME6dOlQO6pYn3nr6ZlTgiDVj+rSUZYvmeU49YSD/c9V00lPiyUxNQhgSFQhhhzSKvyg/g5/9/kluv+dFwqFwB6+9lBIcl5MnDSYrNYlnXv4Q27a/NsjIcV2k10LG+5GmyS23/Is773iWR555j8QEHxeeNYELZoyhsiSP2x6YhZGSgOMcy50b6w9Niy39Pjat28q8+Uvp37eCwf26k5qUhHI0Ac4nla9PuBjyOD7D2HpdCe8nZrJxezYej43j6h0xoQiHquuJ8/tILs/n4b/NUq98uDcwe9Hu0MNPvg0JfrpVFGNZBps27UTZNkqILz1nRawdn5Q4NAjdFl/JA61DR05HXn/sPcdxsSMORrwPIzkeIykOMzUR6fMgvRZ9Kot458PVRxkIx5NvxQPgKh17jG00ZDRlx9C6mSWN4OZFa/LEOk6hFyUFsgrMNyHSA5Td5XPo4ifs8t6nRH/oOB52HjyB7kWzKc2fz+6Dk5DSxj1WZkDX8yl0z5wEjEYviBaYu8DYB/ZMCI8Ft4ijCxhFdBlItR/s7ZA+Qr/9dco1fhkxhL7W3y+xGfx3k7xlD7Pt1NNpT0rD2grdLv7223C0dM6KxKRUevUbQUZGHssXvo0vPpHRE08F/t/ABmj3v0FT4//H3VmHSXE1b/s+3T22M+turACLu7smQEIgQpz4G3d39zdK3D0kgSghSEJwd3fXdd8d6+7z/dEzu4tD9P19dV0LuyPdx/pUnaqnnirFExmLJzr2324S/gBUNgI6YK3ThptUmKsiJCJVoqzUUfdrIAyC2mOw8h2kvwaanAqbJ4LqQZixaOYeRGMInh4LFQ/CsrHIyuWgDITSYjhjBLzzJiSmYF+oEfOjIDYXHj8bEp2w4R+0ieLj4pTIqDipaSpabBT+0gpQBHvzy1m3YYO49vpr6N+/L+PHjdeChtTXbSuR29fu0HK7NMNuV/F4Is0RI0aoOTm5SiDgF1FRUQdd/5577uHKK68kJiYGu93KvdV1HVVVxYL58/y33XWfPKNXhvOWa0cIe6QHaryYJZVk5aTxygOjlMqqGiUqyoPTbiMuJZ5Gxcns2pdPU6cdm82GJgQEdc44pROd2+QSHxeFTQ1RJTYQVVE44/RuPPrsWPp1b0l6avwJjU+YVji890msMJbqsLN46XpKympYuW4HuVlJpCbEsje/hEH9O2J32SCgk5oUw/R5q1kwayXdO+QhDf2g2iBSWspbcTmpKS1nxtxlpKUk0LNnB2Ki3IBABo9WbU+gCEkEBlWmhoLkoDyFEBhQNIJFafFMmZ9Gq0uKMYojQEpUl50ar5/oSBczJi2R19/7DmeMHEn79h1Mp92UYAozoNOmc2sWzl7KmnVbadexJdLnP2GXk5QhpdZwTYfDE1FwQHeCroZS+k5mPiSq3YYWEwk1XoxA0Dp8qgqqxwURdsZ/NpX8wnKcTjsFReUM6NEKE1i8YjM3XjYMm/1wyuND5S83AMJo9Ib7uV+Czw/lftixHR7/GcRtobx+gXXS1hq0xgvmSpBDgIrQaypIFycBoLM+pOsuNu8+naZZv5CRMp+9+T3rjYCQ5aaqIIIWRalsjJUkkQR4QNsG6i7ADkok6DeA0Y/6PPvw+Bpgt0HgI+hUCf/9D3TKDOVe/4OebmkapERpdNn+FrNuGUxlcgauH+HUluA8TsplWHSzATCL+pKTfxa7qKoaqZm5eKJjyd+7nYnj3qdN5z5k5TbHMHQUofyfZREMU/+uXzmf5LRGxMYl/mvgP8MEBDhUq+iUrhJOlKmfwK9BnWuiRhjQHAKDNGyrbQT+C5SD7dxWBKvLIG80GAcgIhI82UhDR7/qWTAMZLwdEk+FuC6wrwZxkQPZ1YD5CxHXXoec+AtKMMh1HW1cOxRSEqC08J95HsLhpby8prZOnTqZl9z6kty0q0jce81wiHHTqlmW9PumifjYOK65+lpKSkqFz+/XNEUYA0Y9HOzTrZW2v6BErN+wy/X11+O477576pR/Q9BfdHQ00dH1rjXDMKSqqkJRlPKnn3nOdtWIZhGXXXGGsOsGMlRTXlEVpD9IWlYKaap1gkdR2Ll1D/Hx8SxevoaMtCRsTrvloTEliYmxJGYkhcrpBg9TJtI0sWsqN1w2hPGTFnDD6CHYnbb6B7mBmKasO+Wqdg3VbgvFLU2roFq1l7HjZ7Jx216aNU4nOSGWnh2bkZOVgs8XwK4pSK/lhTj/jJ7s3lfCq+9O4JvPH0IvqwpjFDEME6GqKJrC0kUrOZBfRPfObYiKdGN3Ogj6gyFKW3FQu0zTRAoVoUsiXAaJLj8+oWCGYu2HgQFViR4t2Cw94LWhKhIhBXgDdG2by6xFm3nu4ffkjTffItIzsux7108zr7r2P8IsqkBRBJop6dqzA3NmLGbj2s00b98Cs6r2mKBAUwoChoJDMbG7pJVGG3pPSCzypTJBaqwfbCamXz3IKWNIgdkAr2CRGFkeENXlAKeDrSs3884XvzH6rD6079Qc7CqV+0r49NMpbN9TQEZSLAN6tEYoCglxHhav3IppmJx/Ri8yMpKsGNtxjI6/zACQ1LN3bSiCp8dCjRcqDShzArEWT4TfCTsHAJGHtK0cbN+CshhkFZi5WIaBB3BgVRX7EUw7VsW/k2iZlR44mJyM3+vSA4WiI02rMpRpA84A2RbrgYsA4QZtFshTIPCE1RbhtLjM6zpM6HXDqn/iewNeTIPRIyH5xAzwv1RM00DTVGZPHcsBZ2fKcyzUYfxKeOeOE994DyPUAAIhbINpWoCyPyORUbF4mncgJi6Z9asXsmX9MgYPvxggxCJ46HH1/4CEQDne2mpsNrtF8vIvuP9DIWMAzu4GT7wHBX05zAOgfiSRGQrBOAXmgNY4n8Dye5HXPAnZjdBXXQibBmH70If+SQ+oDSLdQeh6LXLVqzDgTqvQhKJCZCwyNhbFBjIFGDESuWYJDLmCvGEfc+M1QZIi/llmyJDhJe12u7j51jtrkmJt5vIF06N//HUJZ199NnrAp+Q2bhx47fXX+HniL/bq6moWL14sRo++ROsz8DT5y8QJ0uerJRAIKjabrW4up02bRl5eHo0aNarjZA8besFgUNpsNgGUffb+y0rB3g0RfboOFI4IB0Zp5UHUs0KA9FkbmSklik2jptrHj1OWEutRLS3SUHkbJrLGKjByJJtSCIEZ0MlskcX2d37COAKgzTRNpATVaQeHdRrYsmYby9bsYPe+Eg4UlhIVGUFNrZcDRRWMeeoqHIqKTbN+FFUQ4XGCbtbRgscnx3LrVcOYPHOFpTRDGAiJVcCouqiUaTOX0jQ3kx7dOxIbFWFVtgNsKXFQWoUe0NHsGopNAacd1WGzUlaCGq1yK7hy904eeqoVEbeZ+CPBCIp6/pjwENWArD4YSSr9AZp2bc2Lb38vm3foL664/LLAf599gguHtHR4YiPR80stFkXDwGnT6N2zHXMWrMThdJLTPAezuvaoOCVFmETGedlVFsfqWVGQDqI1BxcP8kOsGrDSx9DqptMwBTZnENVu1vVB1qqY2CgtreKHX2dRWFyCXVO46bIhfDRuBktWbaO0ohpTSob27UBJWSXXXHQKkRmJ1qasG8REuTENSXSMJ4QDObzdh+5Jf+qplFBX4lcJoY19ATjjTdh9tYWIrIupa1jWmx0rk2gCMMmK69tqABN0F+gRQCJWkaB5oKyzFI5RAcHCE2KpPESs9ECvP5a9hd1JT1mELj2U1uRiTzEJtlSQTbEYT22h9qmgTAI5AvSrsUIAof4ioSGeMBzu9L0OTyTALcPBZj+sEX+7WAA0lSXzpxEbF4ff06kubdIuIeUEQYiGCU/8DouWgU8Ht4CrhsPZ7SAorbloqGT+qAhFITElg65RQykq3Mcv335AZnYebTv3DZ2w/u+ABC3mP4V9u7cQl5BCfGIqcPLAtT8r4Xn5ZQ3M2wTeIMjJwGgsFt+wSIn5nkDcMRc54S4I7kdXVOSgNjBwOFx/PXL1Eshsjn7GAOSb+xEfj8P+RhHBDZORp90HXmHtdhJrYQQlpi30tybgiivhl3vIqdlFYkQj/EGJw/aPG3XCMAxSU5Lc2Y1b64888aLep0d7TVHceP06hfkHbDZVUOv1EfAHUBSFWbNmEh8fL2JjY8WuXZXy2Wefk9ddd52IiIhgwYIF3HnnnRQWFjJ+/Hh69+6Nrutomobf75cOh0OUFhdWXvWfq+yVRdsjXn/iStG4WSNkefURS8qGvUOqsGJ3TXPSifREoEiTrdv30SLPhsvlIswwcyxvkmlKFJeD55/9govP6ouzwenfOlVL1BD3/vyZq5i7dAM2TSM6ykWbZln079GKoG4QDOo47DaEECTER4fcSdQDuGiAzpRYYYCUeC45qy/CDOW7O+wIKfnko5/58qf5fPnazSTEx6KkJUC1l88+nMj9z41lQK/W3HXNGXQa2InybfvYvbeIqbNXM23uak4b2JEubRrTsX0ud/ReT8vkCm5+tQP7OrjQhkt0Q1gZVwqYCBRTkhddBXYdo1rDrir4/QHuvvG/ZoE/1vz804+0hfNmaeO//9lsm3sBIxsYV0IIZEDH5XHTqW1z1qzfhtPlIDUjBen1HeSVNEyBatOZlZ/MK581ZVVMDAdGO6FTHQQoNDQHg1ekFKiKlRarxNfyzsxWTF2XgiIlHmeAhwdtJifqAC+8+yXnD+tJckZHnAokpMczYnAXTCRpyXE47Ba/+/78Mj79bqaVimlIBvVqS4+eLcHjgvIaaqprcUccnDsbLm3dMJ1CA4ta849I2DWsAtUGPPIVLNsC+9qBPBpFsQncBRQCidbaDrqxXCgxWPRfM4ANQKVFLBY+8Mu6f05OJAKhmFRWZeDSK0ntsQJfOw+19iSwm+BQ6gwUbblVmSx4KegXYin/8LpXQuAkNZQJ7QPGgtgKT/WDu/tbyv/vIPo5Zv+kRAiFPTs3U1pUwODhZ+GeEmqkALsKfsNyCR/5+/XPt2nA+/PhwHWhN4OwbCE8PRFqndBKwrd3Wd7CI3kKTlZcER4aZTcjJjaBrRtWMOHrt+k3ZBTRsYmYphVPbBhT/F+UsEt464ZVNMptToTnn6f+NUL1di4aA1PSoDoHZASYd2F50RqKEMioA8hFV6Hd/zHmq37MvQNhtQO2bIKyUhgwFN58Hdk0HXZsRzbKIljyMcqbDtRtPQhk6hZ1rBIE3VoLuttGuO65iI1HdsrjwM5FCLJQ6ur+/rMSOqUru/cV2apq/PLXOWvIzZ5AWUUt1TW1oqCoVLZq3cYsKytXcnNzMU2TrVu3YrPZcLlcomXLlrjdbvn5558xfvx4Ybdp+Hw+XnrpJbKyskhJSaG6uhqPxyO+/vor3+OPPW6//dK+jjOGny1S46NDJ1LzhKxBu0OjUUYiOOysnLCFxtnpuDwR9WWbjyGKIvBWexGKQrcOTTFF3VQgFIHqiWDCj3NYs3E3bZs34vJR/RFC4LBreNwuFIct5JYwrY1OSqRfPzEj1jSteLNQEJrKujWb2bs3n2aNM4hwOdmXX0HQgNOH3U1qUix7D5TQq0sL7rr6DK5/8AMG9FrMnVcM483Pp9IoLYEOrbKp9fr5bspCoqIiaN0+m7Oa7aFraikvz27My6+0wHWzgVdaWSaoYNoEulRASIK6iZYaxxdjxpnlRrrx/vsvaLGxMdVfjP3G6NE+J3rUaT1ksLxaSLO+vK5QBDIQJD4lgUaV1WzbtocIl5OomEhksD4zwJACNUJn3rJEfuqUDt2BSDgi2N8E3bDapWo6K8ri2F/t5Kev0vgxJZ2i0Q7rdFYOcybbif5tHYUlp+JtN4TXu+8G6Ud6A3Ru19hqp91ye+i+AI/dcR7FpZUkx0UTmRDFo8+NZV9hCdNmr2b24g18/cZttG2ZfRAGQCgKe/fmY52wLdHgj7t0g8Dn8+GzKVAYDZsGgD4ElOjQmw1jzibwHLASqxJYRuh/P8gNwBYsql9v6P8Gi/5POVJDcX5hKqhpksI+zVFSfWSq89jpGIjPFYVSLVHXC5RCMK4D/0CQ8dQTJoV4CdQy0H8Eda/FlOqS8Pqp0PM0SIi3MADwzyp/sBaxt7aaVUtn03vw2ahqBC47lqFXCFkpR3f/y5BBHzbk8gNQIYDk+s8UnBZyIyuweQH850N4/6q/FtwYFR1Pm059ychuxrL5v2ECg0+/CKCOPS38EIazSgT//Cn7SFLfNonN/s+7f8IeuBenw6QUqBiM5WVTgBbSctMZ1KNxS0rggssg0sC4syfySuD+a+HSyyAzA6KjISoK3BHw4Ydw3sWwcAHy27cxls9BzlWwPaUgswCpoBgQ9GN50UJZONIdBaf3YPkrk3hg8nk8M+yvz4U+EQmvGdPUBSDSkmJIiY2gc9scZn7zOP995zvZpVsv7r37dnRd54MPPmT69OncfffdJCcnk56ezrNPP82rY141mjVrEdywebvNHeHQ8vMPsGjRIkaNGoXNZuPa62/St62bZ/vw2dFq124t0TTVitWbnPgiDZ3UFSlxu13Uev1EG+ZxAM+hA4CisGX7PhQhmPj7MoYP6owF6ZMcyC/nu8lTSIyL5D8XDiIq0mUZFqF7YphWRToZsgGkUZeBcfwmhww+h4PS/CJmzl9BdmYqPXt2wGWz8+GLN+CO9lBWVEZmWjzlFbXERHuoqq7lsVfHUVFZQ3FxBfFN0nn41lHERLnRVAXdMPH7g3jcTvCZIBXSE3y8dNFm8n7Uue6dNqg3ScygQFElpiKoMSzQm0NTUcp9cs7STTKhUQ81MSGeG268yW7T96vTv30Ge1q8wOuHCIfFRqWboVRTgekPkJ2XQ3lFNZu37KJD2zxUTQuRH4XGxFRIivYR5QxSGWOrI7qrmycVZKkk+oBOdNsgmoR9VR6eH5vH73GJVLa1E+gkIDFEqJUo2fH1t3DXIGjRnM8XK6z9OIVxZywkMdoLZqimSlDHMEw0VSGtUTJpWSksmLeG+T/N5bfZq1izfhfDT+nI7VcPJzsz6TAAYEFhCWs3bAP3IQZAvydAF2DzWHrXXQkxUVBZGwLmm6HiHMJi6vJLqJFQHQH5eVB2A5ayj7M+U/eo7wH7eGAdCB8YTtAbhT5XDbavgHwr5q/XHHuR/yEJKycTzCYgTxXIFMinHfayarK8M9heeDpKvopxBQS6CKuaX1jxSyxkvx2UbRA3EV7uDv2GW2+risVu+G+Gqw3DRFVVJn33Ef2HnktMjOXrvbAfrJgO5S0hJfboD7MQsL0SJi6BOatgfSn4ruXguYigjjXO7AtzXznunvSHxGazk5SSSff+Z1Cwfxc/ffUWuXltadPJIjAyTRMZmtQwKPGv8kT8UQlnMGxau4TE5AxS0rOBY7tr/w4RQLUEcx8osdRVyrPSbxpY+MEgLF0K69dBXh5y3FewZjm0aAE9e9R/ZvlyGDQIXnrJKuyzYCHs3Ae/TsCMiUJelw73eRH+WzB81YiIdth+GUugmW4VlLEp0KIJesEuVu+1rPl/HhFRPw9ut4cWzZoGFq/ZJ5PjlzjuueFstPQEJv6+VHn8yaeNebN+9/cd0L929qzZzvz8ApfH4yErK4sZM373ffrpR8oL951nG3HuYKXiQIl4YswPxqwF24K33HKL7c03X1MLiyrkaX2bic9evkFJa5RkVbnzHQ3ZfmxRFAGBIN06tmTpyo1ERbpxR0bUu+KP0kdpSpo1Saeyxsv+A2U88/p33HHNcBxuFy+//zO3/2c48bGROD0u61rBg90Kou6fE1f8ElAcdnSvj9+nzMFu0zilb2ccTgd2pxNMk4SkGDAljsRYxr52G0HdcjcHdYNAIIjDYcNht6HW+MjITK5fuAI8QlhgU8NEOB3s3p7PJ99OoV3zVrzQIpW7f0tAGyzrXO+6ChgmIj6aj94ZZ8qIHPnow/ergO5xu4wvP1uorNt4IBjhtiMEWttmGeL2q88gp0k6ptePoihWZlogQNuurZk3YzHrN+6gbbvmSCMIQlhREIfB5h0eamK1em6Chu5+AUaUQmCg5Lzl3bCtgtokQX53D7XdxEGHK5Yugs5dwSiFvHhIdlA9RDJzeRI1Po3EWJCGDBkZEtXtJFhVy7Jlm6j1B1mxbgejz+pLrc9Hi5x0hp/SGWeMx0oBahDmqK6uZdHStQzq15VJq+tvrwEsjgHfZcAurJN7dqhDIaV/GFNHePdXsGL1YcIzC8gIRWC/HEiDoI3QyQCItbxL6lwQC8Copj7N75DL1w3mUX4/lqgqaCGOfiMD9D5AFhbtsCmQpsKehJ403judPHMKG+49A9nFDNESh+4eMs5UOxhzIW4WvHMajGxn9aGh/Fl0/B8V07TK7v4w9k269zuNhBDxjGHCJV3gqQehdAFc/J+DdUBD2VoCAx+DkvOg9nyskEc89WjbUBihTtS/r5hRWCLckeQ0bUVicga7d2xkwtdv06pTPxo3bQlIdCSLdik0iodUTx2I+l+ZAxmKS+3fu4Psxi3RNPs/7v5XhPWs393H8uY99wLU3i2RhoRdO+Grryz62NGjIT0dhgyB886DDz6AhR2grAzuecS6mGHA7XfA5CmI995DzpoNX3yJuOMuuOMu5OdjYd5MZHYuSlUsskU3ZPEiGPEiYnEAFHuDFBIVVVPITdakHvQJofzBWOOfEE3TMAyDiy66iKZNcvUbb7pJzlq03nHRmf3I9rh45N6LyMlMVBVVVVRjl7Z+9TL9hpvvNFNTkvUbb7xR//LLsc43Hr9EXHz5UCG8fhHfOJWXHrxADcZGKxeMelDMnDlHqqogPiKo+kf3B1XF9AbqkO1/REzDICIumrKKqhCY7/jXEgIcdhvd2zdF7yB47L9jkVLgrarF43aSnhJnxYiCJxBPOIZY4S5Q7BoCWLZ4NXv2F9KjS1uiIiNwuSNCHqfQXIfiy4qqEBnr4SArI6xHTPOYtQuEEBi1PjJyE0lOSOTy218guV8krhvvwSsMFOoJp0xhpUPnF5bLpJQ8GR0dRSAQUB955FH1uutuQCgq3307PvjSC0/po07rZstIjYdAg9RFIRBSogUMevTpxMxpC7Bv3Ebz1nnoNT7smklFoZv1MVEYmVaaomyI/AvpDWWuxPejyqb0KCiUMEdAzU74uAxVjYS93yKkiaytRFa9g/n6OZCUgjBA2AFN1kcVZAgoatf44OPJFJVU4nLZyMlM4vJzBxCfGMPd14zEblNRNA3p9dfDNKQkENSZPG0BQwf3wO2J4DAMgP8qYDHwCnVueToBd5/k6hCAD+yPgZ4FMhZkZOguZcASEGsslr9g1ZEVeijcXne5SKCaY7P/HdYGA2R7CA4BarHITRTqlVqEwKxS2V40gObJU8iNnMxWdVio1jSgCxQNHPtBfglXZcDd10Lj+LCLjPp1zL+jeKzYpsbUHz+ldYeeZGQ1rXsvjM14+EzYVgp9c49+nSW7YE9PrDrWYUhoeJwKsSbAyUHAHzM8Bn+rCDxRMTRr3Zm0zMbsXLeQWZvnsth/Dq8sjSeio0HtdsE5kQqvX29949/AXqiqSjAYwO5wEfEnyyv/GVGEFZa6uw/EqHDfExLvIwrGbbfA8pVw7bVw5pnWxDkccOAATJ8OP/0EL75oWVDz5kFMLCLgRSS7MQd1heuuQPvqC8wXX4CFvyGbNofdBZCYjLmzGHHmQ3D9ZKQWR8BvYnvWJHh/iKQmOhsjubtc9eZIQxvxkwaWcvunnxhVVXG73cTHJWhVVV5kvIrNpmL6g3hsGtfdMorPPvhFaKpQB/ZspXz25Tj/Z5+PFW0bu12Lf3xUNGmSiajxYQZ1hNCJj4sEpybGvXUn301aJL6fuoiq6lr25ZeS0yTDIqH5EyKEAN0kPTWR0pJyPBEuKyXteA+dKdFUFc2ukZ4cx8fjfmfv/hJuuHyYtXHpf84AM02JoqkITWXzxu2sXbeV9m2b0bxZDm6X01pDRyMDkhKCxsF7fthOPE4sT9dNtHg7s+dW8/BPTsrjMyl3rEL0NRCGGjrYgRY0UFSV5579ghfemyLHvHZanbXh8XjweKzns6Cw2BbrVhlxSldsbmfd6b9OhADTwK5o9OvdiZmzl+Cw28nJywVfNbVeF7VurQ4cfpCE9k71V4lRCdIpLJeA/wsI+GGXB0M3oe8oREIcUigohT5sH8cS7KVZHmiAOMGmWg9pQS+YEqnZWLt2O/GxUZw1tCuRURHYHXYI0Vs7IxwhMJd5kPI3TclPk2dzyoAuREZ5DuOP0ACkG3gbyMNSlgawB7gQaA2cFnrdjRVb9GCVBDeAAiwN7QVRYVGKsgPMQVhK/63Q5/xYqRqBo2fxRQBtFHDZrbGNltatCoHtBqzT69h5jy6hRSVdIVBhg4kREmwbQewDUkG/1MbG/kNoumQSjcumsq33EBRdIjVgBmi/wltnwjntDi5G8m/HnaVpuf0Xzp5EUmomjZu1O+j9cPsu62a5yI8G/gNYvg9EHgcXZVKxir4tBcUN5pfUWbbW/TlhYos/I1Ja3AHO2EQme0/hs9llJMRNJ6ZjgE39zsUcauft3032vSB49gZBM3eI7vofCglIaSKEyuplc0hITCUxtRHwz7v/G4pdhWt7STwOhasvnYw5az4yygX33Afnnw/bt0NsLCxcCAkJVsW+Rx+Fdu3hp58RzbIRt78NX9US/6ybwPYcWVUQFElPQbWvPzJqO/78zzBffsVaBLWFqLY4DNMLbidilazzGsmAg25tLhZnO1Yozdt08d11yzXyktHnu3T9pPJ4/7CEszM2bNhAbW0tbdu2tY959SXfA/fd5Vu4bJPznPZN8O0qwFnjY9Rp3VHdTrw+XSQnFDmCuk6/bi1FXsdmFo+ybqLYNGszNkyo8ZGUFM21N4zA4dDYvb+YsopqKovLiYo9GDh2smKh0gN0aNec6TMWEx8fQ2R05NGV6yEi/UEuHNmHi255hXeeuY70lPg/ZbGHPVqK007+ngLmLV5FWmoiQwb3xOmwodo0yw13Alz64qh/HOm+IFSB5rLz6UfTuPa+j/GbLrSRvTHuuxXcCkI3kaYKNUE65kUxY8J8ZqyqrN2waaMSGxvnlFJiD4GzAgE/NpudyMhI0xPpQZFSPVZsVOo6DqeD7l3asGzVRuwOB+m5SVQWCryacngpexPrtRKgTIdYO/hWwbo5sCUDqk+DWpeliEojkB7ADeZwUF3guNMk8JxipZqfBs9Pak7f1GLsHiuVsKKikhVrN2Gzq1RUB9m4ZQ+tm6Vz9tDuCAyEDDFdhs0eReH7n6cxoHcnYmNjjjg/GoC4zor/Bw4AM0MuRRVIAxEF2luhmGvYe2SCNLDyfiWYGqCGsoEiQPaxlKz2BZjlx1+3YV0iFeirwDV+y77QsMLxRQp8rkC+AiXHx8TUXzREc4piDbSyBIwuYI4JfSAWpGJnS+/TaD5jArmzfmd7v0EwweSmMoVH7oP4qNCpn3811F8nYcDPtk2rCfi8dOjS/6jpcqo4uus/LJ9PBvkyVucOgDYVxC9ALASbWCRI5losQxBAg+o0WHUA2qVyXP7vPyWh6+oG1BpO9tWmcsB+OlrNfjou+RhfQgrrRo7kh6nQa4pB3tkKuhT8YzC80CKsKi8hNi4plANt/utZC5oiuKSLSdydfTj753iMon2Ij95EXn8bNM2zcpU7dILVqxEXjYbVaxDvvY545w3ES8vIePpdbuuNLNhVXPnJ2i+ix/70OT17W17aDh3O4oBwYntBose4kBf3xfz6aZQLH8S0+Qm4HVAEIhmEQ5IcEcH1d5+nNG+1wfHcux/rzfJyq1wuV+Q/MQ5CCAzDIDs7uy5dr0PHjkZKerp86MWxONwuhg/uhOEL4Il0gVC4+OzeqJ4IsWTBOlat38XejXvIaJQEisKypRuJjXKT2zQdArplbPoCjB7Vj/e/nEZ6ajyehBhMv/9PewGklKgRTry+gFU85ySsbSEECQlRvPDgpbz35W8899AlVjjoJENTdQh5h52yojJmzVtGUmIcQwf1wKap2F2OkLv/rwd4hqv5+WoDvPHJTzzy4jdccmZb+o98idFrOqHkRWAWCGScCopBcraN156cblat/16/5b43HCkpqcqhoTgro0hgd7jMU/t1JLlFI1Uvq0I7CpJZCIEeNIiMi6NJdiZbt+3C5bKTkxJP4hKfRVKXTr1y0CVoEtu7YBh2zIhSmDcVdc0QzIqWSNnAYijGMhRsQBUEG4N9AuCz0hrJgoX2OIZ80ofBTfdSJBox8/2fcSd24qc5ExjVL4lHrx/BI2Mm0KFFCnktm1qehqABWKegb3+YRp/uHUiIj8HUjSOGpTQA+y4IbMMq9lXT4IRdAHIj6ErIexROIQxzhruwUPvB0CCE3rMrIKtBLzu5Q6LEyixCtzzPYRqBHAOGSpihnoQB0PCiGohiUKPA6B5C+Dd437Db2dh/BK2W/EDOYzNJiOvPleeYJEQrB4Uj/m0JI24rSovZvG4ZfQaficMVcZxvHV1Ka8GbgeVueRxYDXoCiAysku8aBDPB/iEEXgp9yQn5A+CVX+Dj/4AhrbTvv0PCl3VrcN8guK0P6ETw1fLGvDAlBTOQT6N336d9o0zOuGmoVXESAymVv/0ULqVV56C8pBB3ZDSxcUmHtPrfFQU4o52H/l2bMnd9rAwsbirktfVYCWHXMDLiYNcOxOhzEa5TcL4fz/lta4ha+CSP3f2baJqX51y5bA5Jyano/hpOHXIqNcUbueuO//L+YwLvZdHoT92AmdwU+co48FwBnW6DBAMWq8SMC9K5dyl2v8KQQZ1FdZVXu/ramxzvv/EUYGHU/w4Js8mpqoqqqlYuvSXm2++8Y1+yeLE2alhPHnjmc1au3s5Dj1+OWVSBEJKICBcIQYdWOSTFRxHpdlqn+dhIVqzdwf6CUm66fBhxiTGIQBDdF8CelmDd1zRRbCqmlz+d8RhGfbdslsWevQU0i3Ci2bUjMvsdUUxJu1Y5+HxBbrj/Pf57/8V4ot2WS/A4Uq/4bdSWVzPjt3loqsrAvl1w2G04XI56vve/SaQEYbexZ8teJs9YgSklSQnpXDRSodyziR++zoAAlPk0KoPRFG1bJ4sKF/HYg/+1jTznLBGiYz6sXwCVlZXqxs070ap9CIcNM6AfFbOh2UzAS6O8DArKKlmzfh/9+qvEVxj1LLVmyCWqCev0XFgAGxZA5gHYcQ5GeeODLxp2Y58P5GDtvxr1WDoACdWjNWbuimdBVSL6zB8whpyCeuoA1EXn8uH6SH7+JZ2ty5fyyZKtDO+2jaaxtZQWl3HOGX3YsX0H3bu0JSU5Hhw2hGFg+oOHHU40gEALkLOwlHlD8Vs/R1xyJTQ4uh/UboINfj8RCX8uYMJPOiRpcIVef4swjjDqRC4WblOQ+ofQAeoakD3A6InlGQgzowkQQTAddtb7zuL0fd/y1JmzaZ3et86F+L8j1kj9Pvkr+p96Lp6o2D91tXUFYGYCC4BVQHNAwwqBhG/nAtY2+JIAMxHW7Aqpun8A2i2w4tvu0NH+pl6CSzt5QDZGDaRyYN9WVk8eQ3XTNnTsNtBqurRcP3+XISBNE6EorF+9iMTUTGLik/416t9DJbxur7v2Gnbv3MbV55wuWvWPDrz6bIW9JOCk1tSoNRXcvkqcEV0wfhaMbl/L45fNJ8JhsiKpG9OX7QpM/m2WIz7OCkoKm4tPP/8at9uNxxPJzRVw0TjBYjUbFk7GvP4elDsy4TyJ8Cq0WFjBlMvnEefxY9YKlAhJqxaNpN2myJ0799CH+g35r5AwF0MYl6GqKitWrDCfeOJJc9HixaSmpIiBA/p5Cw/sUN54/Arb+VeOYPuKzdz08IeU3fYGLz16GUiQhoEwTdwRDvJy0+rHtKyKiy8ezII5ayivqCYuORbTlGguB3vW7rC4/KMjQziBP9+fMLNf42bZTJ40m0aNUoh0hHN7T1BMSbcOTUlLieWB/47l7KHd6d+j1VE/Xqf47Ta8ldXMmLYcm6bSp1t7C63vDKVH/Y2KPyyKIjBqfOS0a8y1o09lw9Z99OraCuEv5+pW+7i8+W4AAkETe2oiYz/62ZhjSvPs80bbwyychz6LVgEyg3PPPs179tjPxeW3jol4+9nriHDbrRNyOGVUChRhUq7beWt+E/aXOxnZai+ndG7D3k2/c9mTLRk3tBF0Mq1wkKZZJTc3rINJC5DzBLJFG9jUB/bFHda3Okm0vGS25RLhwzIoGtosDhPyFPzffAvGdrjxOozoKIw2sEuHXbfdCbbtUF3O579GIw9s5ftxz/PGB2/y/AOXkpydRkV+CW9+/itpSbFcfvHgkIeg/rmzMABzsJT9SYhooPgPfYz/6GNtAnskfB1q2bm6pfy9wGal3rA4ISkA9mFZDWEgrRtrgMPZDeHG2kD+DK1W27n/sVF4N3zD8kUz6dit//+MERCmHf3+y9fp0e904hJT/vQ1X5sO3o5Y3AzRWMre5GDkvw30dLA/CYFHQ69pUJQM64ugWby1H4RBvf+E/tNUiHNDeFKj41qT3aQJ+/ZsZ/xnr5LVuAVdew0BLEUdpun9SyWUFBzUg2iaxZz2v1LZMNzX3MZN+PiTT6mpKmdonl5+Rbt5iV5/0Hp0peDS217h2ktOo3enPFwOA4fTsozbtMhBs2kyPi6ubv2rikJmZmbdPRolwqTL4edNMPrVHDRPFHqLkdjeDxLcYydS00nPKMOocCKsJGsaN0pW+nVpYtu8ZYchpVT/iuGy6G0tpR/u97Jly3jxxReM9Rs2Gi7htU949ybmr9xh3P74W04hg2rvtv/BFRlBiybp/PThvdQxYTUYO+sP6jYzRYJLCPr3aGV5LgLBOu4HDVi/ZQ/ZmYnk5GX+pQ+BUDWEohLUdcKMgCd3AUFmZjK9OjZnzqIN9OvR6jAf1cGKv4bZ0xehGzo9OrfB43ZZYLPQA677g2i24xeZ+UtESjSHHYdDQyJJiI0E3cSmgt0RBFPiTnCwcO4c+fI7X4qLLr1eE0IhEAjUFWYKS3gdK4pCQmKyTIhzy2i3gcMurMrKJkghQSjopkCLCPLbyjRe82dT1NrBN7tTiZseQC/vR0JwHFGZS/DZu1hpyZ99Btv3wrBWKGvOxWgcj+wsYJk9tH7CG+ohI18CylIIPqVYoHuBhQuwOm99bed2KC6AK6+E6Cjr9TB53coZUFMLioLv3NNhaTS33/sK1SST+MFk7JpAs9m4aERPbnz4QzZu3ccNlw7BSvOyRANQA3WssSc+Nw1+F0d5/Y+ILmG9Dl+qsM4JWijPcqMB64InAAIMSzh+EMYCKNSDNsINDpUsN2fCDbXw/B3gcdnRk85nxpRxrF05n9bte/7r1eosfnyNSd99SNtOfUjNOAas/yRk6U4wLgP7MxDIwzpc6FjAizBYW7GyOcSm0JdMwAV7h8M9n8DEQzJF/kkQXr2oOF1ucpu0Ij2zMXt2buTbz14hp2kbOvUYHGqXxV/+VxgC4c1k9/ZNxMTGk5xqKcZ//+xviRAC0zS5/fbbmTFjBp988imbN6yO7NwyUTx374U43C4wTW6/vCet8yKJifZbqR2GAqpAUQRFRSXKzJkz6N9/QJ2CaHiqqg2aRLnh/HaCxjf66DFkn7xjn1dc2m0uWYMDqKqEajuKasVep/yyiKvvfxeMoGjfqfYvnQeA3bt28fPPPwcWLVoYyC8o1DZs3CS6t2+k3nvtBXTu14HEhBi1pLiUbbsLaN4kA6prkRKiYjyEyXAOk0M3OcOsKxAjTdPCBgUNEhOiePKhS/h63Eze/uBnLhzRi5i4qD8FBISQMRII0LV9c7Zs3U37tnk4Qvn1JyxSInWDUSN68vSY7yivqCE22h16K6T4bTYqyyqYPX8ldrtG906tcLkcIcVvXSboD/DdpEUYpsnF5w/A9AX/VKrjybTfMCU1tX7KK2pAVSzWS1OgGxLV5qCwyGtu3Lpf6kG/Gu5X/dclhmGgaRqLFy/mqWefN5fPnuSqybxGSWr5JFO2LuX05oWoDg2ECsEAqqlCpJ2AEUtNIzdmLyjupVEsrXDrHnElrX8fj/h8FQXFNYiunZHnXgguG0pvH+KLeeit+yMjVwErQJxvodLDKQLh5q0FzSMJNgYzGiwXFPUKTlHg7bfgphstwC5guaxDumjaDBACZds2zE8/o+uQ1mzPuZ7iT3pz/00TiXRZpZGdbiffvXs3dz75KZNnLieu8Sl142OBAE0rdHGiziVVwCl262ReosNmox7Z3/Bg/UdFB9YbsKHBOm9QsfLYEvZKJGJV9AuAugNELgRHhjtgfU4ooFSBugG6N7dolHVDotnsDBh6Hr9P/hqBoFX7Hv+aEWDFMjVmT/uetMwm5Oa1Pv6XTkBKa6EqnNlQhVUD4RNQq0DtC4HOHJyuEZ4LiWUUJMFyL9zznbV2EqOhczb0a/zPlT8+VISi4HRF0CSvHY1yWrBv9xa+++w10rMa06XPUJQGBXr+zMYsQ+U6d2xdS3qjJkS4o/4nwH8NRQiBzWbj4osv5oYbbuD2227R3l25lluvGkmWy42w2RnQqz1w+IPvDwQpKirRmjVrftBm6vMH5LCrHg/s1LvafO3OpEsU5s/XVWmLF/8ubz23nf5C74U2UVWJsIVSn0yrDgdSMrBvW6Z//ShPvDxWzFy6SezatZOsrOw/5GELt0lRFD788CMee+wRGR+foG/essXmcdlsN146hP4deokH//sVcVERdG7fhEZpCTx06zlWMStNhWovqqqcdGqcDClfEWZVVASaaaJJGH3RYN7+4Gf25pcSkxJvGQAndfWDRQgwdZP4tCTmL1lj8fS7jv+9w64DVFTUsHHrXiJcDiQWdbjQNEqLS5m7YAVut5t+PdvjdDqw2W3Wl8z6TVfTVAb1aYPH5YRjxMz/UgkZXXFRbhRFYc2m3Zx6Vh9MWV33DIqATnlVjQDw+30HfT3sNS0tKdFfHTNG/2LsV47ivTuFs+3VoualZ8XUvhHM/3EgiZ8EkcvfJ0bfRqthVxKnlModk58OLlm5W62NT1WJMUP7n0T406VBe7Ht/Czca37DbrgJRLhgzRqYMBHdW4OIbCR5/kFBZi6kJsKBD4E3gbbUo9KFhbHTsEp2omOB1UL93r4TJv2AmjcCSnMwMuq/VifR0daBuEMHui2fxu5uZ6B/0oQDz85i6fJVTPx9OaNO74HPH+TUIV146+mr+eCraQcPsZRS2qMhWHnic9LZDqMF9A7ACgVmaZAPHDBgk251Mez0+Kedoipgy4DgUDBysHjK14AYAsH/YLn/Q+OsBEB+Aa+lwbWnhqIBlg0JCHQ9yO8Tx5KRnRcyAv7ZcEBYqWxet5ySov107D4Qh/OPg/4ayqNT4OlIMNqC/SIIZAHvAUFwRIJMg8AFgArCC/Yt4B/PQeU4RSUo+0K/F4JjBwwuhB/vsUJNf7Zq4J8V0zTQg0Hy9+9k+cLpRMck0q3vUCLcFgjdOgHBSZ/dQ6kP86b/RGZOMxrlNP+fif83lPAGePHFF5OaklT60BXtY6OiIsSBgjJeePcnXn3sysNduYpCdVUtPc59JrBmzXp7eM0HDcmLH/8kH7j5eujaSuCIxrG7hlxngdy0di25mYnik5euo1f31pjBIyCOBeB0cGDnAW5+5CMzIasT77z9pnIkd+2xpOE4v/7660z46cfatNTUYFXRhuiPX77VQnlrKlpCNN9+OY2qGi9X33gWRnG5la6GCJ0m/uDOpAiwa6xduZ1an5+yiiqaZKeSk5mMkhjDq89/SUpSLOcN74miqZan4I/dqb6/DgezZyykSZNGpKUknNSmKqXV5mde+46rLxxEUnIMCIU9u/azdOUGYmOi6dK+OXaHDZvN1uBLR5BwnO9EgYgnKUfcX1WV6soa9heUkZocS2RkBEYgiKqpEOPhp/Ez+c/db5CTm+cfM+ZN2a17N6eu63UG8KJFi/RHH35Q3713h7ptn00N1KJosQp68xzw7ofcNuANQHEh5LRA7NyNUlOFu9OdqAV9qbpSog8WFmnPOwr31qwiKXYe//2+moKqJWT1jKcoqSm13gAMHw4d2gIaGEG0mxXQbBjzNiM33wm0A54DoYE0USMlamuF4NULkCs+AJsLUlItt396Z9TvVkCNB6FnwUtXo488uKKbMHSkqtFl/Bvssw2g8ocg35+9gkT7Ab75ZQk3XjqMmQvXUV3tZV9BKYN6teHHqYvoNfQKAM4999xQMaATVP5gGSHNJYwI5fP3MaC3YdXwmW+DZQ7YZMAS3YIV/KNGQOjZDuaAkQeYoK4C2Rr0y7GUl2Y1SFHAGAePCLj+VOvAUk8pG4rtaTYGDb+I33/5CmkatO7Y+x876ckQ21Bp0QF279xA976n/2XKH2DNXjCGAZXWemQtdSALfxUom0F7HfQBQAusISnHwgqE2xgFRjihKw/0zjD1d7jta3j1gn/fCFAUFbtDJSMrj9T0HMpKCpj963cYhk63PsNISLYqVp2MV6Aut3zVImLikkhv1OSEv/tPSjguPnbsWDZv3sytN15TW1iyOjYmzsOo617iybsvOKYStNnrj5oS2FUueHJWLymaRSty0Ty4+yb8T19L9ctV4smhT5AYl05WRjKYYaPq0PaACOgkxEXSrnkKS7YX6KZp2sEaU+CEjOswuv/HnybITz5625/XuJGav2et66WHLyc6OQ58fkvpagqpybGIIlEfrz/JdLpD76u4Xfw2dTGN0hOZv2wTLZqkMfCUrohaH4qmULxtH9dfOoQ3P53Cus27adOxGbLG+5eEAbp1bsO8xauJjYrEFQrhnIhIKRFSUl3jIykphnVrt7Fx6y4aZSRz2uBeqKpixfStDx/vYgcDvmU93EE2+OfQcNExRVGorfFRUVVDakaiVTO+Ydt1A4/bSV6TdJASU9dR0xKY+NU0Lrp5DHZNo8YXZPXqNY733nsr2LVb16A9lPg//fdpxplnn288fusZzqFDzvNdcNPn+rasU1zeB66DliHGwtUroaYaevQChxMZDGIAlXY3QgpkPfwBmQJ9mvRlWPceXHetzui3YFZgOZmDytnZogf+qAaAPwn6B2B7FBRXK4zIH6HqPaA1yDEghqBUBdFTVHh1GY7YGyCypVUETzcQ+2z4e0hkFFC1B+W+D7D5L0U/Jwar5pFEqhrt33iG4g1DGNAKchJfZ+XCWpKTE7j9quEkpcVzYXIMqqKwfO0Onn7jO+6//kx2NAD7n7QmE4BXhUmO+kJ5GhZhz6Ag3OuHRw3ob4eWtvBZ+h8QBVQJSgswegE6KHuBODBGUs9yF3JPG7/CtUF46FKL2vZwj1a9ETD49IvYt2cba5bPxUKY/s0o2NCDqOtB5vz+A526D8YTGfPXXDr0/9a9QIOw0qEVx0wJeimwynJTGeFsgEMturDLSgXc4OsGi7YcfK9/WxRFwWZ3kJiSyeDhF9N38Nls3biSbz97lc3rlh2EDTgukC/0flHhXhxOF6qq/f3r4SRF13WklNxxxx1cdtllrF+/Xo4465z0loNuE/v2lzD50/sZ1LM1phSH7/kmckNxdIFpmvYw46XPC6e/A94bihSCGrz+Gjz6LLRqQvD0VvQdcSNXXdg3dDo9/savKYiKshJVURTsdnsdOOtkQJR+Xy3LV26wL1i4wrFx6z4xbc5qghU1SMPEMEyQ4A8Grbmx2/70oVUIBQJBOrTOJSMljisuGESvLs2x6bqFHo+M4JdpSymvrCEmyo1+Aul2JyqmKXFEuamuqrGMpRPYUOsoex0ak6evIDMliu9+mg4CRgztQ8d2zXE47fWAvj/gERGqUmcBCCEQqkCEjAmhHn8+pZSgKgSDOvc//xUdBt/Olh35mIrAME3rWmoIma8bmDaVXfuKOf/cRzn/+pcJ6ga1Pj8+XwB/QOeTT7+weTwe24ABfXyL5s7cP3HihKqrzuniuP2Jm+XMZdtta7e7HHQ/Fdk1CTweq+BV775w6jCIirYYMj0e68cukA7q9kYBVoheAUW1YXO6+Pp2F+c374XyrkHWexvQKrBCXuGpt0HwCVCHqiiqG7gBWIJFubsEHRti8RcQXYG/Sw7+zhHWT/dIfG2dyEQXOJyQnocZvw3xQiXUWIBaWVBA+oUj2L5Hom98n03vnUfxgZ1UeXVKy6vZX1jG6+9OZPma7bz64UQWr9rKpy/dROd2TQ6aA42TFB2Y4IP9dlhrgxtDwLxQaBgBNJbwTBDGOyBKwMLASYD3/oAoIVImozvow7FcDyqIYhBdsTwvwdBrCpj7IXsfjOwENu1YBWUsbadqGoOHX8y0iWMRKLTu2PNvdfmapomiqvz8zTv06H8GsfHJx//SCYrAyt0v1LHi/uFJOdpKqLC+ZCiWm/+424QNKqOhSge3+g8agCcgQlio2MiYOLr0HkrHHoPYsHox4z5+kZymbWjfrT82m6OO3//Q+Q3n/vsDPuyOCNyemPCV/+GeHFs0TUNKydy5cxkxYqR5Sq9WVa2ztahWTTNR3TFM3JZJa6OUtgnlAEhD1KVwFJbLwMdjp0ZddulloZOP4MN1sMNZgDh/ANIv4M034fShEJuJVA0QNhRVwTwWzbyU4NDYvrmQGQu3iNZNc5TcxnmBzPRUtaq6Sm3Xrh0vvvgi8fHxRw21hb0agL8gPz84cnA7T8e2LeQHX08TMxespXWzTAYP7YpW46NoxwEWr9xC89yMhsfTPywiFI9OiIts8AJgSgsYWFnLucN7EpGRyK7PfqVZ4zQLr/UXPADWvQ2yslLJLy4hx+VAUdVjuuqFqlBUWMLSlRv5/Lu5vPDQ5aQkx6Mqor6+/R9Q+uFTf1FJBUtXbye3URIet5P8ogqKyirZvHU/F4zoxdLV2zhtWLdj1kWwGA91omI8vPHkVdz99GdccusYFi57n/UzV/LRuBlcPqofrVrnYtT6sEXHkl9Yzsp12+nSoSlx0R7692iFy2GnptbL1VcM48XXv+Wxl791du87MHVY//YM6d+B7l3PNbduzUA89ZxSc303C/ehqQ0bcpxO138sPGQCy7v58nATTj+db378khcesLO1Zxf8Z2NlVAUAO0ib9T+qGnKZWpXzpPgCpSgX86zzIc5mfV475L4SS591vgljyhjUW1ujX9OejFceoeruh6lp34nqQU/y+ys3kZUbR2VFDX6fzsxF6xjavx3L1uxgQI82tMzLsLAdhxxWTtoAINSvBQFYL6DSASNM6Bq02hlW9NESLvNBCw2CGizXTy4cIARoISyKodeDdBXFmjsRtjbsYDaCQA+QmViKPsKKTWt20HtQ/wAqoO0F1xfwYBcY2vZE3NTWl1VV45ThFzP9l7EYZpB2nfudzJCdsJiGxWc9cdx7dOg6kNSMnL/8HqsPgC8r9EeYjepQWsuwhPJTpR1sBaEowbE2NTtUJ8HGfdAly/Ik/I95xwHqcsXbdOhFq/Y9OLB3O1N++AxVVejc6xSSUho1+LTV4TD179qlc4iOjScl3RrE/xX3v5SSgoICBgwYgN/vp7i4mP8+91h+/zx/CpgCRTB+Ywr/md4eLcfEudnkvFZ7eOOUFYBEmip7apKK16xZmX73s6/x6C8mU5Yo7BAQfCgBzl1qcWLfeSfMmQfnX0BJnp1vlmTQu8kBzKDtGLUYBAQM0pJj6Nwmm0Wrd4t3nzzf3rFDW7Oo1lP845QF5plnnZnw1ZdjlYzMzOPhbYI1VaW1KUkxHhRBiybp2G0aNz30AV/FeegwsDMzfp6HrktGndETyqtQ/2rsziHK0zRMImI8LJ+1koE9W7Nk5VZSk+LIzcuwirP8yTCADOq0bdOMyb/OIzUpgQh3xBHwG5aGWr12C1t37CUhIYZBfToze/E2UpLirNO+af5x/AMgNIXNW/bx2seTuOK8gcxbuok1G3dTWFxJVkYCl57bnzc+nUJstIeab2cz6ty+GDV+C3B51P6Bpin069aSzdsO0KzpxZSUVdK+ZQ4tnr8Ooeus2bSHS06/X9psmlFR5VPbtYgSY9+4HUF9yElx2rnrmjPJyUyhcaNksXnHXr6aurn6kw/eMyeuaBt1vztJoiGEVE+KSE7aQKkGYxfIpge/7bRbx99Lz72YDPvH/FYVwbcft2LbCAkZIe8IWMx2FWYIcJsJ8jFQ+kKgFQhb3b2OODgA0Y0xLnkOZfxH5L3zAgVPPk1FiALeds/1XPjGf5n7XFcSEmNAN7ngDCu8k9so2Rp7IY5OBfxHRALlEsYHoMQBSwRcG6gH/5mhi/fUIVKBZzRYoZ94uqGigMyBYFegGIQ/ZEDYIeDBij94sEorhnnqFVC8YFsO0gnGbWB0A4LWGMsDkDgFxvSHc7pZyulkYtRCURg4/CJmTPmG5Yt+p2O3QSf+5RMQ07SU/4wp35DTtDXZTVr+pdcPS+iwZ0kpmDaOTrJQAywE+oBYd5wLh9xAtW4orKh/6X9N6g6EAhRVRUElI6spaZmNqa2pYu2yucycMp68lp1o3bEXmmaz9sxQZ7w1VUTHJoZinf9b6H+n00lmZia//fYbffv2q+2UUZtsMaBIMCR90opxRBuUX2GnCnhveRN+ej2Lka22y37plSU33f9+Wm2gJd3GKpS1NdHvxTIOVRUaZUJNjcXtvXsPAHojhaXfxoIqkccy8UOhokBAp3+Pljz+yNWogQCKpijx0b74Oy/pqNul1/vSK2Pcr7z8IrquHxUc6K2pUHzVpZqq2olw2qmp9VNWXk0gqLNzVxEdgjp9u7Zk5bodfP7tTC656nSMonI07e8DpCiKAH+QFo3TcUa4UITgnS+mcu3oU2ncrBGy1vcnM09AsWkYulUTvk5CAeqy0koWL1+P11tL6xZNGDG0D4oqKC6pIjU5zrr3n8ndVwR6QOfzcTPZvjuf5+6/mAinnfYtszDDiHwhUFWVh+++kP17Cvjs21kIlxPhPVbtBwkOO9N/W8alt71upqUmUVRcojRrnMbzD45GNSP8X/y0ourmO5+Ovviii9WXX3lVu+Oue4OBkrWKlh6vBvcWW1kdAAEdt9vJhSN7Y8tMYv7D75rpjZo7m7cdrKY1Ndk4CfHhPFB6hejpj7MchGm5/J3fQvZqeONSGJBr6Y262kzCOlQrikr3IRfjnj+WHbNd7Nuaiy9BgjPEzR8LFIgQ304s0B7kJSCcKGsNjGj1YI/soW0RChKVHrnVbDjlSSqahFz5psQ8NYZlT9oIBEycoTlWNctDFP6fUEjo0CX4hw2AsAQk/OqDdQrsclh8BoP8lj6OxOpTvAS3ODlPmNEUuBQr17BxvTcEqL9Qg5M9NlB3gi0f9FtA70/dpiNC9KdyKdzghFHd/xhAzXqABQOGXsDsX79jyfzf6NLzlON+70TEOvGorFkxH5fLQ5MW7etddX+xZMWBUhr6IxOUWixuCI3DsACYQCkIu4X6B46u1QXgh+SN0GPIP1+d70RF1P3T4DWhoKoKkVGxdOt7Gl0Zxp4dG5n8/UcoikK7Lv3JyGpKSdF+XO5I4pNSG17tX5fwiXnChAksWrSQOXPn1HiMPYZTMyLCaX4SSIn0EVllUG4D9u8l+OGT7D1QxFuvThcfRKXF+ykR/Pgj1d0hxK18sHi9sG2bRX4SItLwOY7hjj5ELFC6wOawYQYsnnuhGMJm95gOd7S/Zs9eN0fxMYUUqFyxfJmtsnino0en5ixcsVnMW7oRm6ry0G2jGDn6FLz7ikhp1ogOrXIpLK3853JSpcTltKMHA/Q+pRMbtu6loLCCxrl/jg8AQht3UKdVi8Zs37WPVs1zUYRgxZrN7N6bT2x0FL26tiHCbREvCaGACkvXbKdDq2zLQPkTmQ96QOf9sb8zdfZqnrr3PDxRbmRQR1GVg/SolBKbqhAd6UYIhYcffJ/Y6Ej692hJxw5NMf31/AGmlChuJ5vX7zaefGd6sHXrNs7S0lIZEeE2dh8o58l3Z/lLn5loLyouir/66mvFc889w7ffTZDrlv4ufvv6CSgoRVMP7pc0JTabCqVes6DSNDIz0zVARLkMOmkKH+bXL65jjoYBUgX3BvB9De5MSI0Pgcdl6LEITalQrKu5I1w073Iqrm/nEwxGgDMFKiTBrQKZAHikVTiPLcBQwIkuJbYdArOzdWg9sgEgEVKn+57XWdvsQmp/TUeMABkVIl15/im01uehuvaCDFCHhrcmpO4qAli5dieQVffanzYACLV5jwn7/LBag3khqmiBNVA6FsOfzrG3S0UB1QHBplgVCHUsxP5usJeEig7ZQHhB+kAJ41dslnIy2kDgszCpQkgkCBVMHySZ0CK3fjD+iFinPZN+Q0Yx69fvWDx3Cl17D/2DVws1UUoUReHAnu0UH9hN595D/lLE/0H3AmKd4AwjQZtgxXQ6AJM43AAA8IEUljV8kFSB/VdwbgJHEOzSMvgGtYM4ewhb8b+hH+twHtO2wcM/gL8acjLg7I4wsjV4Ghw2lRCHeFbjVjTKbYnfV8vq5XNYuXgm+3dvpffgc4iNTw7lU/9vdDAMohsxYgQffvABp55yqtsdEWG88uTNNRcMa+3WVIlQBJ98/Tti1V54tAq++QKuuw4x6ho6ZtxAVvuu4vv0nYhebUObY4O+VVfDfffBkiVw992hKlMWIE2cJNJDQn0qmZTgdLBlww513pJ1jssuvRRAHInHPTTW3ukz53q9tdXxo68ZIc/PLxZP3XUB/oBOUnIcZlE5rqRYZkyaz5pNe7jx0lOhvPofTd9VhIIwTJrmpjF19koCepA+XVvUV80LMQiejHtMCIE0THKbNmLsV7+wdfteHHYbbVo1oX2bPJQwkLVOs0mkDgN7teauJz+jW4c87A7bHzMCpGTDtv2s27KbO64cxufjZxMfv5J7bjob0x84aGwFQFAnJiqCB24+G6/Xx/hfFvLxNzPo2K4J4cJqUkoUj4tVS7cY/3nom8Ajjzzg7NO7L7feeitTp04VJSUlimGqEW+8+QbZ2dlERkayZ89uJk+ZpJ87YoCuJThdwQJf/ek/dE2hqhhBnTsfeUOu3Kkrn95zcWhhqiREg7vEcmoqYZv1KMtWhKdnO8SlwtbB0O5t+G9rGHUK3PkpzN0IHfKgrAy2VQhskSZaaSbOJjnkbF7Ono/74q/wYOZKaCEgTKaGD3CBAJs00XuoyEiOsPdaDbSb1XQq/IC1cRdSFZWKY5lpgbJQLA/AXfdiH/UWN9wzjfefvwK7y3VYBT4pJQPOf4zsjCROP++Gutf/EgMgLCYWD8CmY4CBjrT8VJtFp2ymgHE6FjpdBaUY7NtBPxt8p2LNXCmQCmRQb8qVhX5yOfzEYloGADPg4lI4a2SIqOZPeAOFUDBNk36nnsOCmROZ+/sPdO09DLvDyRH9LMeQ8Mbm89WyZN6v9Bo0ksio2JO+zsmKo+EfCpY7zIG1Ng+VSqzFGaapVK3XMp6C/462QLSxRyiXfGRg5b8j4X1v1yZYmAviTFixFyYthTumgs0PTgVeOwdOaxU2GKxN1RXhoXOPU1AUlZlTxrNs4W9s27SCtMzGtO7QC4fT9bfP14n1URITE0PnLl1Ytnw5xSUl6uINJe4OfZockIEq/5Y18xKefnOiq9qrIYIDVbl2HQiVqNcEbz8IiW747d22VA+n/tnatQvOO8/q2/XXw0svQZ1rXoFKCOYLiyv3j+kWhM3GgQP5SmFJpX3I0GEYhnGYwg6n/82aPcc2deK34qm7zgGvXyiKSkxMpHUhm8be3QXsWbaJrTvysWkCp9Meck//ycE9AQnqBrb4KD5460dmLVxPRmoCFVW1fPDlNOYt2URcjIdWeRns2FtEfEwkg3q1xuV21gGcwkWMFKW+hkW4+mdhYSkr1mwiGAji9Qc4pX83EuJj6r1ZobE3dJNde4vQNIWMtAScLjuDerXho3EzueaiQSiqOLl5UhRqa7z8OmsFz91/CZ4IB727t2TRqq3c/tAHvPLElZhB/YgGlqKAOyqCc4f3ACS3PvQ+WZnJ9OnWgi4dmoJU2LW/TImOiXecMXyEAHjmmWfEJZdcIgYMGABYWJ0wi+e8BUvNmsJ14ob3nnMFdx+wlH/DvhsmWnIcH748ll3lDt/03342FVWNNAxTqqoihnSDUVPh08UhcPgJ2K02ARFeqE4HfRg88hM8/zCUXQGBa+BAKdb+GQ0IBRE0kPauNHt0Aqn25ezu1hMzqMH3QQs5L54A2Qrr5BW6f9j7Gs6bt2YeELj1QloXf8OqhNHUaol1YVZKsCIJCIQrErrdxdXtnDw1ZhyZGalced6Aevc/sHLdTlas20lKYsxB/ftLDYCTEUHoBJ8Ashv4W4dao4KoAm01mPEQuBfMXtTH+Y8k8TSkN66XkPI31kKHXXDO0Pr18mf3A0VRME2DngPOYO2K+SyaM5mO3Qfi9kSfVIZA+LOTvvuQHv1OJz4x5Fr+m3eshnreCG8IUdRXuGooNcAKMMIF73RQtsHIdnBh23+L/vePiS/UV1UBIx18meALrS11Pwz/At4thqv71TMayhAb465t64lLTKFb32G4Ijzs2bmJGZPH4a2ppHGL9rRo0xWb3cFfs8JOXqw1afLiiy+iaRqffvop33wzjiVLlqQGAgEUAWfeN4aPt4xEDBdITeCYBgM80CUDAkGIrAp5KQXg88EN10NcHHzyCSQm1sfTdNB+lLRZUsG3ty2AKjuaejJ5PjLUXskrL37Ngy99L1984TkB9cq+7pP16H8WLFysNkpxK/1GDcC/fT8Ou2YpTYeNA7sLGPfLAvILyzhrSDf+c+mpyIABhvmPeGpURYFaH6UVNfTv0YqC4grOOa07bZpnUOv1YxiS76YsIj0lnlXrd9KnSzPG/7KQtZt2oaoKhmEVM7r3hjOJT4qjJL+YNRu28vvctQzo2Zq+PTrginBSXl7J2g3biYl0Y3PYkaaJzx/kzU+nAJIoTwT+QJD1W/bRJDuF/OJy9u4rpnuHxrRvdZKgYgG6brB7XwmeCAemKVFUQY8OTXHaNG59+CNOH9iRU/u1s+ah4ThLQDdxuxxcNqo/l40+lW2b9/DVj3MtA0ABp02gapoE8Pv9pKenk56eTsOLKIqCL2hQUrCP/fklXHPpUxSVViBNWL1hj7z+0lO4++4LBKWVUFZFQXGV3rZtR7uiqrZgMIjNZhNBA6JckCeB/ZYqMU7AEDK8ECgCM1RcrnoEVJ9J/eOdcPDnpaKiCINNtSNo7/2EwBwX+xd0gZrwzVYA94OIASkxNMUqz33QkFt4mpjAbpqUT2JV4mh8WqylAw0IZAuU8RLjdgFO6/P+SJWk7GY8fl86X30/l8dfHcf9N5yNw2FDUQQdWufw2uNX8PL7Ew+6119jAIQ7cBKWpQSMJsBVWCdMDYQBYhWYBgRfB5rSgBf5GBc6tB2H/rkfzo6FXtkWz4T9LzJ7FEXFNA1ad+jJ+lULWTxnCh17DCY6Jv6EjAAL8a/wy7cf0LnH4L+M4/9YEm5RUgQc2ANkgmgG6u4QMdAXWJZomDQpEWsO8kGE6w8FIGornN75kIv+D0t4KrKaQOoEOLAMRCesvoV0jZEOyi1w8+fw1gy4fSQ0T7Diil0bwd6dm4lPziDCHYk0TRrlNKdRdjMQgu1bVvPbz1/g93lp3KwtzVp3we5w/jGmwWPIoR7cQ5dY+CT2/PPPc9lll+F2u8nIyEAoVk5m9+eh5CGsE4sEdSPcNTz0XQFNMmB/MYgEkJoGHTrCmDHQvTs4HeCww/MfoCzuQq/oYmbeMQ0ZdOL1Bpi9eAONGyXTpHEaUjeOvf5VFX8gwMfj58gn3vjJOO/cc9QbbrhR+P1+HI6D/FN11/nk44+5/967xKXnDlCoqEZRRB2mQPqDpOakkp4ch8Ou0XtoV/TCsr8V+BeWsOu5pLScdz//lYG929CzeysI1rtCXU5LeV5/+TA2btrNgqWbmLN4Ix1aZ7NszVauG30qUko+GPs7V9w+hqBukBgbSbfOLTilf2d6dmqOzaER9OvEJMZRMm8Fhmmyd08BP09dSo3fT05GEqNO746maXWgL8M0ufeZL/h8zC0nX8RHCHbuzOetz3/lpiuGgRCIOt84dGibS+vmjfhu0kLuePxjLjm7L+3bNkYahxgChOLkQYPM1HjaNG/EOVf9l5LSCnTDkI3yuh7UqLAzbX0h3PwVrDwAqlpO9YTliq3MJpKG3lCd0cnu79xIcT7dPD346CMPau+8+a3nujsvkt49RaLaaxKT6ORIEhMHYjKIxkBrYDsWyDWdg3RMONxZ0wlqEsAMp8+Hs88OFYl1qtoFZjMVzTBY2fxyOuZ/QHCLi6LI1qAvhVoNAlH1RdfSsQDtIfS8wEQKheSaVaTVLGd1/MUEtMj6M4UOMlPAMtPap4t2Qf++0Oo+zEE5CBMuOrM3azbs4r7nv8TltPH0PRehqiqXnduftOQ4yhvOi5RSnpRxLMDhAVxYPMZRIRpZsLAN1aFBCoZ+wrzAoZAFKlbMOQ24jLqyvUoJ2DeDcRYEr6WOGvmIAx0aLOUAxH4Pjn1Q3gFqR4QGMywmaD9Am3Xw/GVwSvaxcv7/uITddju3rmfTuiV06j6YhOT0YxoBYeU/fdLXpGY2oXnrzv9oPLncB82egMJnAAn2iy2Pix6PhfqfB9RSN3eiBdg7gf9ToBKyv4AFl0JyKCzwf8AGqDvRryqC2z6DmW2AwdTTGzcAlyqF4JgNWhVgSJQiyN4/mYiobPr2bkmLBJOMWIVumRBRF1qVqIpg57a1bFyzFG9NFelZTWnZvjtud1RoAz35kQrv2XuqYeBjUKiB0w6iGr64DgY1PboHJryZnvMBzN0M5nYofhAL8wFQDh1fg2WPWGHDO3+GMVkgOljfdayRBOfMxAyugR4D0c65HFm0gdMG9+THT28iWO5l+drt/PedH9m+q5BV019G9+tohwDvJCBsGsUFJSxftZFTzj6VTUvWc+Wdr9OhS3f/mDc/9WuaGnXoMxN+thYuXMiFF14g9+zdL9OTopXXn7yKnp3z2Lz9AM0apxEfFwWKQklRBdPnr6FJVgodujTHrPH+rfF/0zRRIiOYOmkhazbuYdTpPcjOTj56jQFhuarVyAg++2wq85Zs4vJzehPweykpryYuNor42Fga56QSERfFmDe/p6LSyx1XD+dAURlPvPIto8/ui5ABqr0Gazfv4T/nDyJoGGSkxlspX3XwConQVB545gueuPP84xsAYfeoIjB0g0/GzaSwpII7rj4Du009+tpVFWqrvHw0bgZlldW0bZ7NiOHdMX0By4VvmBSUlLN01Ta+mTAfCQzo2Yr0lHi+GP+73FsZIWfN/F3x+/1oNgeqAjNWwMBPwXUveFOp1yFFEm2dwF4Ktl0GnkpVFs56h5uyx4kXP3ie8e98Hfxxbr587tmn7YfWmgiDkvdUwaM/woJN0KU17F0PcxtD8NIGY3Aij2noc9pGEI8ABaCkgPSCsV8icgRmjknHVe+zbfYVlPkuQ3Atkv6gSGymRD9VQXbDwrYZEqlAVsUsIoOFbIodTlCNOPiQKwEnOCYHCUzVkMMHouzdiXLa7+y4bjMZ7iowQ0yMmsZdj33MgzefTWxsZF0J8/ELrFN1HRWwLdVCeSNABLGYjyRIHYgBMx2UfJB+IA38nbDS7xo2zAS6n8CgNZSgFee3bQTZCfxfgowPXTdE2VtXqESAqIDon8C13nLlJkfA0+fD2a3g68Vw+xNQ1QN82RCxEtgA9/eC+x+tx0T8HXFpC4Blkt2kJVHRscyf8TPtu/YnIzvviEZAmOhn+aLpxMQm0TivzT8OJotxwlkd4OO5EOhtgSdtI600SrMLVjrHt1iYiyigK4hwyWgT7GWQ4vl7DKq/S1QLM0O7RPj6BnjsJ/jpLjCzIOgDPcly75mxYCaCdxQWB7hQyFw+jzIlktVNmrNgI2j5Co6NoH1lkV2pQUAKPrgIBuS1JrtxaxBQsG8Hi+dMpqq8hKiYOFq270FyashiDmWVHE8MaY3xta/DtpuBbKt+EyacPQZaGzDhWoiLsAyBhktJCNhVDnP3QOFzQDEQ0+DiURZAt8IPDgGTVwKDQo92AOK+FYzuMoBxcweQNA0enzrbzBU7yh5/6mlH58EPuNrmJatTZ68k2u1i7g9PIoMG6jFSP6SURHpc7Fi9lQ7D7qZ7u1wuPK29uW3LhtqmzVpGAVI0eBgURSEYDDJj5kx27txFdkaysnNvAY+/Oo7uHfLYtiuf3l2ac9FZfYhyR4Ti6BK7Pazs/r7nypQmOB3M+n05i1duY/RZfchuknZw3n8D76iUEmlCMGiwfsk64iI1TuvXHIdDpUPbNjhdB1f6M2q83HrNSF5++wfufuZzggGd1564guVrtjPx93UsW7OFiR8/SFRsZL3BEd6ThagDZ+rhEIg4+P06CY1ZIKCzasMu2rZohGGY7NpXyBMPXIp5PB4DwyQiwsFN/zmd2iovX0+Yy7ffz2bUOf3BMCguquD2Rz/Gpmk8ctsoUhNjiIyMgCg3EU6bfOGLNSFaMoGqQI0PJhcCIyCYykH1R0gU6P1DeDlDUqEiGJvER1fvYnnhU8GyHev1S6683paVlX1YWeDwssyMhI8uqWs6qgIv/wL3vwrmaNATOL4REM5n9wIvg+EBsyNWCNUGSmOBVmagR0i2ySHSHXWmqAkKAkazuusKQOSCdIHwS1AlTcumYEqFDbFnYqh2juhVNyU4bTB1FqxehYyKwbwglltnd+CrgfOw20OlXE2TYQPas3jlFqKj3GzYuo+zhnTDYimyxKoFcH14ITToeMPOH9qI8Ck81AvhB/s2rNO/y3pfdVjIe6lbv6OAUQtCAyUCZBDMAjBagf/3Q+4RcnU4JkLyVIiLh2AQPDFwy2lw0RUHQwJMCRd0hSFt4ZMlULgLTusD7S6AKAsD9KdAfyciIlRpLi4xlcFnXMKvEz7F7/fSOK/tQWtJylAp2R0bqaoopVP3QRZ48F+IG79zLky4Ew70BjQIfg/a12CbCVSBbAbCYVm0ohiLUTHc3z8A+PpfkPAmkOyCty+wfnaVg8sNY8bCM7OxUmxC0yFMiVQhoryEqqQ0pEdBdDLRhVIH2g3DJlQvnPY6nOKEMaMhKwpik3PoNyQHVYWKikrWLJ/H3BlTMSVkZTelRdvORLg8IECicJA7LjTGlQGYuhnWaYSAP+HOQPXtsHg7NH8dIivhttNgVHvLOEZCiR/6PwaFD1qfJ4nDRChgV+HH9bArGQgnoJgWm+N/zzC4sd1ekhLizQ8/+qjyvV+n2lURsJ19agfVaRfs3lfIjx/cS6Tbcr8J0VDTNBSJQOLzB8nOSOCmy4by2XezuPXBt1zVvtftl1x+TeChhx6067qOpmnous6UKVPMa6+7NtikUZJ6/vBeWpXXS5f2ufTr1pIbbzoLagOsWbedryfMx6YqHCgoIz01nn7dW1lK8W94pMIu/8qKGr7/ZibbduVz7eghNGqSZuX7K1aSuCklMqR884tK2bh5F5VVtTjsGnlNszjtlJ71jH5SHqz8TRPV7eLdDybSKq8RZwzujKoqeCJcDBrUiUDQoE2TRBx2rT6joo6YX2KEDAJVtQ4clVW1REe7Qyl4AtMwQvn7sDe/hFkLNrB11wF6d2nO069/j82mcvbQbqE6Cic4MLpBhMfKw584bRlTpi5i2IjeeL0+mjfN5N7rR+Jy2TENC7BZvqeAj8dPJzYmx8J+hLqxfhu8ux24PjQkR9u7Q9VZxUVDqZBZFPxWYHv9qRa2we1z0A3zuEWmJJby9wfhlqFWhuszL4B6A/izOTLuLGSM2GeAeAOoAL0ZmNnAeuAXoFTHbK/ij/8cMX8sZbUFwuY6j9xG7dixLwJ/IDRXirTq3SNBkbQt+pJyeza7I3shxSGdPuSREjagvBz69UXuK0bcNpjJKc8THKBgF4Z1gJeSAT3b8Nir35CTnkRifBRPjBlPj1MvrbuO5WQPk8D4sQq+aEBcw4Fu0IgGblIkUAzaVjBuCNHw/hGps0pD/5vAQrh4K3z49uGqUcoGnhpRv6nHOuH2Pke47D+kV8NFMJwuFyPOv46fx79PwOeleduuEDIQhFCoqixn/coFdOkzDE9U7N9KK3w8ifHAgfAfDtAvs34AK6ZVhpV10VBU0O3HT+v8X5eQ156MKGsjOO90WPgJTP8dGGgpf1NVsfuqMVxOamPDSNMj9FqC4QDzHpi6AbqMgcSgVeArLhK6N4Wpi6LYqQ/D7gG/gLgNm0gZNwGHXoWpuPC7W1Id0Qav1449Emr9Cj5FwecCf2MI3gg0LAgW2qDMXCh9AEoNuHs6PPQuOKotW7zKBtV3YmE5jiKBBJi3C1omQe5eKHwPSi6xCkLluAFUhKIZb731VulXn72T+ObT11JTU8tPvy1l07b9XDZqAJGxUZh+fz3jnlAPO2UiNIRqwzAlitvNCw9fwQvPX8eeLQX6XS9O9kZEOD2maRLUDXbu2B649777amtKd0etnPycPT7KIQ4UlRPUDSLdLuITYjArahBC0LJpJm26t2LB9OXc9tjHXDf6FFKaZxIsKDsoTezPiqX4FcrLaygqrmTitKX06tqcKy8fCr4AZo0X05QICeXllWzetpviknJMKUlJSqBbhxa4oz31RYkkR2Rnk1KiKgrl+aXs2V/C2cO6kZgcV4cpkL4Aw07pwto1m9i5N5+mOZkomooetGpAlJRW8vn3c0hJjqFXp2YEdINHXhpH53a5DB/cCbvNxntf/IY3EMQf0MnJTKRPlxaMGt4Nd4SLIQM7hg6DFmvgyexNUjdxRbnp2bkZ7381jWEjepOVlcwZgzry+CvjeO756zBLKjBr/Xw0bjqTZm02f/r+6QBgC7MF+nSoNCw1ZBwL/B3OlDAiUC7uxMY0+HgW9GkDDlU5bmJOMIQHe+YbeOJXiOkNxhDwh3WfwuG6KdxPDyhJYPqtUJyoARkNxOpQrqGs+gqZPA555nOIxh0pXAJJmyaQ7lvKzoI+mNKOkBJRAUqKSacD77DH3Zt8d/t6r7cf2Iqli1MJ8d1LkALTuwBefR7mTob8EpgzA++nM6jwdcTttBousLAXT9x1UV1HurZvyqyt9f2wQgDbQJgg4sHoCEo5sDrk8tVBRkLQYXWaqPovq/mglEFwPNbGFKYBPJYc6f2GLssAKD9D/zXw0qPWGjRpQCgjjj2pDefr31BO4YfFNA3OOPdqfpvwObU1VbTvOgBV0zAMnWkTv6R739OJT0j5V5U/QOmh+0/Dg5sDa+Ed6p3RoDYZ1uyHDmkc90H7XxUR+kcVodBAAnx1G9z6GnxTAXKECaZK+uL5eF2RlKfkAHBE0ExowUkJegsof9yynQCohDlbgJtAJIFEggFVNGOX2gwAjSBJm9aQsvEbPEEfQbsTb04zqpq2QXc4Q4cEBRPV4t9ZDGIh6BdheQVsgArGKVB7igXfKOWwg8PhokD5pXDL07D+GVj/NMzcBjc+A1mJMOkuCAZ1Y8mCWUVvvPpCyvv/vYFunZoiDZOB/TtQRzEaKj2MNMAeCfF90P01gFXoR9E0TMMgymPQPfNUcLvwRwp2bdkun3v7B+W88873nHPOOeL999/XX3juacNhV7U+nZvEvP7yvWGGW9KT608lsmHqmbBO2jU1fhqlJRAXG4V3bxEut7PuBP6nRQiLtMhuZ39+GZfd8Qa3XDGMLj1bE6yoobS8kq079lJaVolpGMTHx9C8aTY9urYLTULolG8crvAPFVNKVLeTH8bN4MKRvUmMizoIU2BRAwdp3bopEyfPISs9BcUwePuzKVRW+bHZFK4dfSqrN+7i52lLeeGB0ZgSNu/Yzzuf/8rC5Vs449TO3Dl6ZGgwCSl7q51Sl+Eu/0GRKIrA7XRgVtSgOG14PC58/iAEdDRPBEsWrufOJz9n5PBTlR69emthIrS6+yrHWbcNRbWA48oAGFsNye/Ac1dbNujRyN6ktJR/QIfdESBuh6oOocyA8EMTADHb0oOyN8gY6rwRwW7WD4D2K9jeBtNlYFyhIScsQS79FJHzNMR1RFYZiK6StZtH0MHzOan6SvYVd8WPint2FW1sH7Fz0xDKNjXHqZsWXb9pec9NwwJeKs0hMExBugxwagQX3YFc9jkcKIRR51mWSPN7qDJdWHGJBn1tsOZiog8uKWyFAL48xuD6gZUgdoJjDbAdFIc1OGY6+N/DslgkR7fUGkpDbExYSwdD398HjT6GGwfA3Y+FjGPluIyNB8n/ih5SFBXD0DllxCXMn/Ez86ZPoMeA4fz28xd06Naf1IxsgH9V+U9YC9XND3nxOAYaACpUJcGGvSED4Chf+78kYSWTpMBXd0Dih/De0xCRDolrA+iKneq1UHmqiUw5xqKs98LWSxSITtYDLXXgfQG/Ya378ySMBN1uY3+zjuxv1hEA1TBI2LKO5lN+wOb3IgVUJmVS2LIVwa9Skb8KjFRwXKWAVNFvBqM/VkqRSh2A9oTC4C4oSIdFe6BrBvRvDOuesd7y+wPG3BlTCiaOfz/t0dvPZ/DgjpjeAEIR+Gu86LpRl6bncNiQpkHAG2TD2l28/85r1Hp9tGvXjosvvpjvvvuOxMREhg0bxrLVm3j77bex2WxiwIA+on///nwx9hsK9qzXNq98T/PllzBp+nK+mTCXbh2a4bBrZDRKQoZK+x6Ec0Aggjq5WUl0aJ3NpOnLMEyTs8/qg1nlRVVPYnUe4XmUpolpmEgpCVZW06JlI66+oD+//L6YoL+GtKQYoqI8tMjLJi4upv6LpgnS2tBP+DEXIoSgFwSCQaprvEc/JCgq0jTRbApvffYbA3q2pW3rnFAI1aBf91b069kaGapM2K5lNm2bNeLWRz/mmgsHI+uMikPG8088zEIAukl8bCTtW+fw09RFnHXBQHz+ILExbksj1/jISI1nYI/mUlE1dF13NKzI+Ydur4QOimfAmPEw40l4/goYkGnxzBxGD2N53flgMnxeBbQOOWZCcT1tAmjvQjAeFB3UjyF4LxidQg1s4B3QBwGngu0DgWNSkMC+xzHPuBvZpJN1slZVZAWI80xWfHAJXePewW9E4vPH0T7mSzasOo+qrRnoFRLziEpUYNtgYt9qEjgPZB6QkYUy8BrM6CL46ANIS8AxMZua4Ewwaw4aRWs5CZat2c7Pvy2hVY9z696ztglv6LdDC8JILGq3bli5+ucfoW2S42voAGCA2AeutdbYBdyhwkgOiFkGnm2QGQ93Xwojmv77teT/ClFV68Tfc8AZbFq3lDefvYOBp59HduNW/3bT8Prg5s+g5sk/8GUFdCdU+4//0f9LEsbkSQmvXSW5qUylqmAParsI2rdrxIxCuOcNwZr24D+HYyfRHuoyDGe1/ALMxUpxjQamC/gKy19/B9DL2lUMRaGgeVsKmretu4anYB+Zt68kMjAFI0diChvlzbModeURfD8ZxgjwgN5LELxcRUaeoPWsQOkp8PJv8M2V9R4dn9+vT5/8Q+GrLz+d1rZlLpdfMRS9ogbN7aSqtJJLbnmdPfnlpt/QjGi31C4f1UfU1gbls29PpHOXbmLZ0qXk5uZSUVHBxIkTadq0KX6/n8WLF7N3716uvPJKgsEgs2bNYsGChbRt3xm/z4cpwOG00adbS6bMXMEHX/1GUkI0N956LsLrx2bX6k6rEOLh9wXIzkzigYcvY+H0FUz8fSkdWmSR0zTjyBXpjqTlpLRi46a0vDRCEPAHKSwsYde+Aiqray2Fq2mcNqA9TbLSKKuspXePdkTGRiH9AWQYbSxEfbT0RDRa6EOGbmBIyb6NuwFB8ybpVlncw7IKBJgG7ds2Y9OW3RQWl9M0JwVpmhAizpFSgl7vAfH7Aoz5aDK9u7b4Wz2P0jCxe1w0zUnlrc+mcMZZ/bBwHWqdceLz+WnfqimTZq83H3vsMeWpp57C5w+iOmx1+vWkJNQV0wBxLqwbBEPegzMi4MWLIdNtGQgODbwBK6Nm4Q74qADMvoANi0XXDuqrICaAvydIh0W6Z/hB3ALK1WBedch9VcAXIHiJjr7sVoTWCS2qO4ZbIsPESwpIXcE2yGTVlGvokfs0UqgsWXcrQenG8EvMY5g+waACOtg+k+iDQHY4HzHrJxg3GVpb3CNSmiiHuk1C4E9dNxk3cT7P3z+6LgsAQltY2itQ2Qaqu2ER+Ic7Fq6HHJYwSLBh54+zhpQySHofUmqgXQ6c3t6aXG8QdhRBcS2cPQj6/afBbeT/feUflnDBmJrqKtp16cvOrRtITGlESlrWv3b6n78dzn0LykdxCCXgCYoJERWQ2vivbtn/hghhMarlxarMX72K6OgETHsivVNMljyr8MhHVtzQGEUdedVxJWQsaHmAACPfQv+SCzTG8nTdBeY7AtkAbMk+iSgDyqA6KZ1tejqBJlghNwNivdtJqlpNVNp+y3gxBf5V8VSclU3V+VnUXOKxOMbBSg9SVMxDUwVqIP0zuPKK+v5XVVXqi+ZOK3jrtefTu3Voxv13nMu+rfvk9Plrxbmj+rNt5372F1YFJ035rSQ5LSt5ypRfih+874HYZi2a1Y4693zb8OHDXW+9/TYJ8fE899xzvPXWWzz22GN899135OTkkJaWxtKlS+nWrRurVq0iNyeH5StWkBFvRxGCYNAgIc7DJaMHU15Qxuffz+GF577gtAEdaNk6F0U3Qkxw1gaHKVGEwCiupPuADhQUlTN9wTqu6piHrPVbSEewXNwNFH1YTNOkvLKaA/nFFBaV4g/F050OO2kpiXRu1xxPdGhzNExwO9ixr4z9BWWUV9YQGR99/OdZCcUvD9qkLSxAIKBji7Dz++yVrN6wi6pqLzdeNozoGM8RUwqFKvB7AySmJPLldzOIjnKHGASpm1tB/e8IwafjZzKwV2urJvwRsAd/lQgBBHQapScwYnBnxrw6jt7dWhIbHQk2G2s27ObbyQt46ZnrzDZjZwU/+3mJBhZAOtxuhaPWxTm2hDCVwWhQ7oOpi2DmfWCPhZhoGNwCNm+EGcXg6AKBbiAzOCjt3MgDIxYL1JcBRIGpYsXiG+IKBVZxLF2Hdevg0ceRaenIxTejvejGzDeRWYp1ABaAITGyDHKzJlFxIBfV5UOYNQR9B7vljymasIjZep+F4jgLuV4i86TVrjJBRmRtfQhDUdCDQXTD5OffltGqaSbmISEoDWDfA/DFUvjyC9hfCbUmBFyQfwoEWlJXbOegXOkTkSqI/wEe7gU39Dr2R40QsE8cJ8b/f0ksxL/Kjq1r8VZX0q3PEJyeSH7+5j1atulK4+bt6uJe/0h7gJJaGPIC1IwBeWyQ7NHFAFcpNAnN6f8n03WQKIqoyyG2Ox1WiEC1EMNPXAn+D+G1d4G24E8G2QjLmAofXQzqalnUiQZ6U+AL0B4CbQ34m1unDEyQg8H2MATHgLTgBohLBHYBMskCG5nlEpFLHYaszJVLWcTBBFIuvZTY5G3kzJ6KbVIt5mAQsRJ/gpvKhAyqklKpSUjBsNkgCPEPw5v/gVOzVQxDUFpapl9z1eja3Ts3pw/t14n84irZ4dTHgh6P2ywrK7H9NH21ahPCPOPsC7zJaVkpuq4zdOjpiUOHng4hlJCu67Rv355vv/2WnTt34nA4KCkpobKyEk3TSE5OZvjw4Wzfvp309HRaNG/O62+9ywUj+9X1QwgBtQGiPRHcfPu5rJ6/jjc+nUJeTirNclM5Y1R/AkXlCEVYtc5NE+G08e2Xv7Fqw25uumIIgcJyTN3AMK3UqBqvl5KSSopLSimrqEYPYQmEEMTFRZGRlkybFo1RXY5Q3J46hL7U64l9jIpq+g7pSn5RGXMWrWeYy0lktAdNCfmGD2NsgmBAJxDQQ3ucwDQlqiaoqPSxaMVmGjdKZu6iDdx8xWkkZiUjq7xHwQwIdOC9L3+lsKyK/fsLef6BS3A47UcGFWLtqRu37efyc/sjjeOQNP0FIk0TxWGnSU4aE6YtY97SjcTHRFK0YTdfT5zHqX3bQqRNbdM03h4R4fbm5+93JSenASYmVoaNykngABpK6FRuyoNj9aXAu4tB7QbKAgi8BjIe1APAtWCMxnp+Twv9FANvYnH4VwG3A/1rLQVsGpZ7//rrYcFCaN8BXnkNWjfD/p6BWWpipivWPhAaak0J0GrLN9Tuy2TFjpHERW+lUdpctu8diD8Qc9xu2W0mZrZADgAcErXAwOighYwSiT1o4lJCmS9Cwef1MWXmStZv3kOPTnkM6NMztJ7qR1UDa6BGd7Z+whKQcMc3MP1bqEyFknbga4WVIhReO4cCxhq6RE3Q5sI50lL+vqAFujjUoQDW4jyZMN3/BQkj/stLC9m+aTXtuw0gwhONYeiMPP86Jn77PlUVZbTt0hdNOzT28je0B2vs7/kBvDeDtDV48WRFB0c+NEm0DLf/7+YuRJixY/MaXC43mdl5gMU4Z7dZz8vzV8Fp22FHAUyfDXP2Qn4PCIbQ9p4dEL8D7D5AWiGtspZQOghwg/4UyFfAsQD8TUA6wXSBTAHHa+B/AGQi2LMgkBwCIBlYQf4wuVZdg+VB0+hV4/C64tjfogsEQJ0Cohlwv5/o2t1EH9hN5qoFqIEABCA1CLZ1Bq9NKmBg//6sXLOBqdNmRbVp3khOnL7C7DdwWO2mTVMjAQJ+Lw89/HBwz5595sOPPBLl9/nQbFaoywodCHw+H5MnT2HFiuUAdO3alaqqKh544AGaNGlC27Zt0XU9hBtwYLfb8UR6SExMYufOnaDZMKSJalrKVEowC0pp1jiV9965nV9/mseC5ZsZMKwb73w8iQiXnWuuOxNZXsXM2St4/6tpdG6dxcYN26io9tZXwlMEkW4XSXGxNM3NIj4+2iJYkPXjiGkpbxloWB9b1CntsGiahl5UznkXDOLbr6dz93NfMnxgR/p3b0l0tBuhqRb5iLSodLW4SD586ycWLttESnIMcdGRVFZ7SUqIpLi0it7dWrBx2z6qa/yYUmL6AkcmnJOSmlovMxesQzckj99+HsFgkAWL19K7e+QxyX4URUHTVIuV7w9p1hMXIQQEgqSkxnHHf4Yz5qNfKCuv4Y3PptC+ZRZd2jZm4ZQlxKVm6/Fx8fL7777nhhtvAgyMkBX9p7eV0LSH+yoA0TUEzdiLVRQvE4xGoH4J6nYri0dGAn7dYgG7xwH2CBQVzIWL4fzXUWrdUspKIQu2wxmjYMynEGezlKZuwmaBKYRFSucHhMQua+i4/hP2zOnPvgOtUTAorWhCTNQO0pOWsPtAP3TjGCcyBaQhMM4Ulq41BNKvWHw8WH106dZ6k6aJL2Dw3Bs/0K9HKx644/yQAXu44SekDHGYyfo8TGsC65H3BTUwdhFMXQolPpARoBjgr7De99rhQGeoHkh9DvEWGPQpTHvKGkvHv1Z14N+TQMDHtJ+/pGP3gaSk59TF3QxDR1U15s2YgKkbtO/an8jo2L+1LeG4bvbdsOt5/kCQrYEUQc8xMO8pyzv5D7Ct/qNisTSqzJ85kZjYBFq2634QoxhwWKnj8iB8Og/2llh/d8yB8zoeHB34YT28OB42u6HsIjDSQHsB1GUQaBLyyLhAmw5cAfoosF8BugfMZA6W8LMaBiMdFvsLGQUh77GyBxQ7BN8Wh+2sKQ/D3ickl4wezcsvPEVZcQHFRQV8O368r6yiRrvq0nO18vIKC3ynKDgdDpwRbiQKEe4onC4XNpsdm9OFy+nC7nARn5hGiIf9mPFmwzAI6jpz58xh1ZoN3HnDhRxY8QW64sTv8xIMGgSDOl6fjxqvH2GarNu8j5UbduNy2Vmyeidd2+UwclB7XJFu5i/dTMBv0Cgjkb35IRY7jyPECaDUo/GliTQP14InezKWppUaSKyHH7+ezoy5a7n8vP40ycvEY1MRmmqhsD0RPPbEJ1w2qh+57ZtAlddaQEZoIQV1cNj57yvjuPScfqQ0SrTy4UITK0Ntq6io4b/v/Miw/h3o3aO15ZWwaUyYMJ2hg3uGvAAH90tihQweeOZLnrr7wsPxEH+nhA8ZmoYZCKJEutAra7nvubG89P4ko1ePjsGWLds633vvPQJBA7tNYdoqwSkLwHad5V2Xf6Xu0IHVwGdAtYSFAtb5odsaRFwiam6WNF8A87PXBc+9jGr2k3Fd7pCq2xS1M+8UmX3+Q+vMINVBFwdSzqRwvUJptonvGgUzRUEsAtvHEt0jMGMEwjCIqd1O3vapbJ19JiWFGYS5/hVhYEqVNk2/pqwyi70F3Tmq2SPArpqY7QX6aQK1wkTTIfC8YoUDV0vOX7SHz05ZRnV1OU+//j2XjRpAm1bZmLoR8q5b1x6/0FofdUyAcORTeMgYJskNtw+0fo4mz0+CF5+H4juAMmg5Hl64zfI4/P8Szz9RkUj0QIBff/yM1p16k5KeQ8N8WgscaNBrwAh2bl7LtF++pHu/00hJy/nbXXONk2DvJjBa/PFrKEXQIYRj/P8lXNNQFNXK4LDb7bg90cDhj2XD8uqmhCgNbu1/8GcMeXDBkTNbwlmPwldL4I4pkD8c9LuBJ0DbAHpjkAroXcAxBYzTgJ5gmwR60KJqrmtMIPS7FjIcDnEiiaCAIIhysJUAKviHAlh56jQ4BIb36LFfWulAKWlW/KHPoJFHJlQHAsEAfl8N3ppqfF4v3poqaqrKObBnO3a7U8YnpglNs7aXMCAtXPYawO8PUFpaxvLly5g7dw6NG+dy5+03U3xgC9v25BMVGYemCRx2O9GRHpxOGxFOJ84IJwMGquTvL8bpsrPvQCljf5xDRGQMnU7pQkm5n83b9jH6hnP49I3v+XT8DP5z81no+aUH1QVoiDr/MyIUYWUJFJZz5vAeDOnTli9/mssH3/zOpWf3pXXLHISmsnDqIrIzkoiKjMAsr0HqOgJRF681DAPV46Kqxvv/2DvrOLmq8/+/z5WRdcv6JpuNuxvxhABBg0twh7ZIKaUUKdAiBYq0FChS3C1ojIS4O0k2nmx2N9ms2/i95/z+uDMbhwDB+vs+r9e88srOzJ1zzzn3PPZ5Pg/rt5SRmp6IS9OcSAIglMKWiuItZbQvzGFA7/ZI5cDGhITsrAwqq+soyMk8pA6RP1FDpIMkBs6LEgrJJj+Gx6OGDx1gP/78J0bfPv31f/7rKYLBYJQQbX9b9qgFKkIgKoAVUcM9QSFrJCpbwMYHYOl9qNH/wLIvFvxlEciv0H7/Bb1LFooOqyaITRtDnHvxaG690kbEJUJYQsIbTFtSxDUN/dmhxTlLuQDCCEgCXYXIq1xCxqKNrFt/Ic3BFECiiFET62jC4uvN5zGw2/NErARqans41aIHjl9B2NbQVysYg5MyTMTpoYNCW6W4ovtOdGERiUg6t8una4f8Q/Zl2Fe+0baKkkY5fBWHSGu1hPCB206Enu3gkj9CTlu47WTok+EYAD+lwflzi5ISW9p8NeU9OnbrT2G7rnvd730k1uaysGN3svILmTzpJXr2HUHbDt3Q9aMfLolhj6bfCq3/BOUP8P2iAAqEBZ7/0YhOzNMvXr0It9tLm3aOpSQOwScfW9KY4XygQ6lHn5+YKAX+CJw/AKbOhNd3gp0G1t1g/BG0bSBbQwsFdjOErwGuAdf9YKylBVFMdvQzO5z0QCSd/UqT3HtANoEaDqHL2QvuxSGIJYJT/SMhy3SeUcuyMQxtr2ETzScfymM0DRNXYiqJiftHrqZNmy53VtQEsgpK4/bs2SOKitqSnp7eonBDoaDcumkdk6fMkBuKvzbOPfMkHrjreoTLxPaVkxEfYdgx/UAz9+azYwNSCiUlSkqyM1OQElK6xHNv0Tm88M5M5i4upmvHArweD0smL0YIQceibETYcioHYkDAowyAE0KgGzoqFMHlMrny0vFs2VDCvU+8T1FBFkmJHraXVnPF+aPJyEiOHor77CcBmmZg1zfx17sv4bY7X2TTtt3079WO9q2zMEwdpWksX7mZVcUltG+TjSY05/EVAqRNv95dmDZzEdmt0hw8xD6HtQB2lleTnpJw4NCP8AZj8//9D/LYHlIK8JoiMxFddyXYQ4ceo9u2jWEYLcR7pqAlxRXDs31vidbUi8fBfAXUaJCbQQwT6B3CqKUfYnfcBe0nw47FUH4SFGQgHroPWdqFa7MDXPnXx8DvgUgIOxQBv01ECqxwHM/Mbc+OU+Oi/B5EW2mCqfnpXPcR1pJUVq26AqlakHn7DU8pHSHC7F5/BSf0fAaNBHY2tGWerQgdYr51pZDLBfY4De1z6eAU8kAmCcqa3MxeXEx+VgplFTUOm+Q+LYEPJUd0jMfAed+UlJEKTugExU8BNqR7nLnXf0io+VcmMgo0Wjp/KpnZ+bTr1DMa/jz0550eAgqPN54zLvgdn733PL6merr0HNRiDR9ViYaK4/YFq31XkWA0QF7s3P9fM+6iD4uvuZGE5DRilK5H0lDm2wxdIcAb1Wv33wBfPw0rskHkgfUwmG879cdKsRd0Gz3Awncc/rrmC2BOYe/THAZ5fNR4gL0GhcBZ90aI+xw6boYUBVec4Xws5iG3GDbfyp/tzFUkYrFr1y4yMjJo1SpDnHvOmWa3zh0iEaWL3Nx886OPPsS2bVsp2y5es6Dxob/emQi4337rbmRNI6pyXpSWVYteVQN7nxz8fiV1ooVXR9NARcvcrv3tGaxbvJ6Ppy0jIzWBWUvW4/OHqK5tpG1+JplZaSgrBELg9br2KuBDeTbfU5QC3eNic3EJr344h1GDu9O/VxGZaUnk5GU4HzpckyAc7hAiNleeN5bPZixnwbKNzJy/Fo/bJBSO0KVdHjddeRIYhtO7OWpxKqUwPC4ikUiL0Xag6Jr2vRSpAvxhE0OTuL9Tu+dDixBAxCKzVbrs2b1j+Ouv13vPPU/HtiIthrTre6P/DiEa6Isd4zocI8TLjKCtqoGV/0RqixA9n0JldkV4TkBd8xfSfVDwUQO7yoMknhzC9jdi1YcxDYGuCUK2hifdzz1v9uPTETmI/uytIlAKb6iObnVvs6t0CHtK+uwFkx6GZEWpzfi0lRRsOJZuhV+yLHISWxtz2XHgR6NRAGYAnUH1EpjPSCJ3CdQ4wV03NXF10ia27NjJNRefgMuMNdQ5vBw1Py4WEk01nKsemCP9X5cYk9WmdctRStK+Sx+H5xv4Ji0ZC8vZlsXJZ1/FsgXTmf/Vx/QeMIrU9AMTvz9QoriOojTYXIIDgvmuEq0AaNe25ZL/M6KUQtN1/M2NmKaLtIxs9jZVOToihAMIzPPAyFRYtdUh1EJC5DzgPGAtmE04PAEae2uiDjOMyJXAlUANkL7PGzGlL2gBI2iboN370C8b3rr7h91LDPRXWVnJsGHDuOOOOzhtwhlq7JgR9u1XjfX4ZWLjH/7638RNmzbLkpLt1fHUGSna7gy/L8DW0lpe/PfHXH7FSdiN/v3D80cw33ur2wS6LpDVDXTr3JpuPdvtDcUkeJj1xWLu++cHjBjUGWkpwhGLUcd0JyvDSe3Ex7tb2uf+YBGAy6B4cxnHHtOdEUO6tYABZQuB0eGfGKkkgUYfEdvCMA2uOHc0cZmp4AuA6RyqMhQBO3xwWNey6dy+DdtLdtGpwwElxkKws7yavOz075ayE4qwpfPQqo5kJ4b4TdfNSFtH+6GNQCybtCSPfsKwzq7U9Iww4ApZTkWdUFDTcIhqye8jzU60UqxWqN0C+ljwVg3M/QKZ/QQi8TqMyx/A7gwU2Lh7SVx32vyjy0ouuX0z+FwQ0cAXj+46YDSaosLnRiY7ik8h0K0w6dYm2tZ/xbrOZ+BblodWLZHqcM6DjaIewXZq5Vd8YG3FLG3L8JyZ+O2TedOX0tJnpEViQYSXwbpVYH6loEoh8gUVDZvpOO54BvbZiMc0HOfzW07ooxrI3Z+d6/8fieU2K3fvpHznFnr1H0lCYvJ3ItvQDQNpW/Q/Zhy7yrby1ZR3GTD0ePJatztqpYKxkTx7KZz1V1h+Pk5b2O8SDdAhmALbqo7KkH5RopRECJ3iNUtweTzk5BW2VHMcTXFFeV0euxw23QuTU0H2YG/ir/ve9hwt8k1DiH0vjb0NGnT2RyBaQBOkvQirHwSv5gCWwTEKv4+xHtvbeXl5lJaWsm7dOv50262cdc7F4qa77hBzP304uW/nNOvaK86zTRHONkyTpqYghgGP3HkhJ47rh2r2oxv7kq5/P9F0DWVLlD+I41UBoQiD+3agd5c2rFi3HY/bhcs0+GrxOqqqGohELC46cwTtO7U+NFnQdxAZNR63F+9kwfKNnH3qUJTbhQoEEUL7xgiSUgqhaeyuqOXfr0ym2R/mlHH9MQwd2eh3QGNWyKFUNo29rU2jIoSDQ+jUpS2TPp1F+6KClmoABzwIK9ft4LgRvb4zDsAQigEZ9Wz3xXE0OoA5NMYWqRkpdGydJN79apa66cYbeGsV3DUNgppThu4ZfCCh7RFKNMoptoP+JhjrFJGvQaYH0eZOR+78OyT3h7GLUa08WMEIYrSBnqwR/K/Oc71WcdFp2whUJGLoCl2o/QweBZi6wmqIY0+CGxXv3JMr7KNg6xziS5tZkXM1Ea8bd7NNZD/lH0tylOP0XPfhtFzVgfXUi2MZ6b+ZiH8NgzIW0CBH8V4g7uCzAJw+LUFQHQVqikAM24rVvYYXyk7lUvc68rM1jkQLG0ALKv1oyP9Pih9oAfcFAj6Wzp9G74GjSGv1/Tj+Nd1ASklufjsmnP9bPnnnWZqb6inq0B23J+7bL3CEUpgMyx6Fkx+GabUQGfcdvqw75aCTX4Cbxv7vRXqUUkhlYxiuFuDajwGeEsIxAu65DkregLXpQB5RwE30Q0dqd+yr6PdJAxCJXssC91Lovgh69XM+crTbONu2TV1dHaWlpZrH4/K43V6rqqrBeObRqw1M04i5dJXbStm6vZQhYwZj1TXt5/n/UDmUh627TNwukzEjekXn1qb/mD4smr6MbTv3kJ2VBpb9g8CsUio0r5s1KzcxZfZqbr7yZLLaZKOa/YfEjhwoCgdMGLZssjPTyclKZcwx3THcZrRuW0AUSBlo9uP1uA65JxUCt2kQDIVIMI29FzcMKmvqSUz4jmlFJdA1xantyhzeXOsoeP8xGmePwYA+Xfhi3k4x6dNZLIkfQ8VJNmY/HYt9qly/SS1FQNTgtOOMA1IcYJy2FYy/OhUEwT422gAN8e4zyLnT4IKPIKWV0797loSLTZQX7CrADVIXyKDA0BWmdnDKQyqB7rZZuTWNLelJkA6e5ka6TnqHyuGdKckbj9ylwFJI/4FrZNPivnMn0Bt4CsFQFA9SoF0BWhJddg+jqd27pKUvI3PXMMrlAXtIgaYUaovA6iVgSj1q+b/hqfvYdJ8bK8XGOML2txrA18vnob5nCOzoBUd/hRIF94WCfmZ+/hbd+gwlr3X7qCf5/U6UGC5AKcmE86+jvqaShbM/p6a64ugNG0f5fPZHKJoOwneID0kQxSDKD/6yXgup3xNP9EsVJ4qjU7mrBMNwkVtQdNSQ4ocSPVp+3j8TLmgPcfNxHIJYnv6b9IYCSoBKHBBQ7FUT/XcHJM6FNpOg3TvQ8d9w2jZYdje8eA6Y2vdS/nYwGLKbm5ttX3Ozvb54A0uWLGXL1m0KiCB0e9iwYcycOZN+/forNNOqq2vC9ocI1zQSqWnAavYDgoZGPzJs/3TlaApkxMKORFAIAqWVrN9cRm5mGgnZadhh6wets5QS5XGx9OttdO9cQFpGCsTaAh+BaEJghyyKerYjHImQm5XqpA+jJSS2LREJXj6aupSb73uZxqbAQbW3QgiErejdqzPrN2x32gFrGsLQaKhrIhyxSU2K/14emrR17Mj3dBCFcNIXhg7RjoXNTQHseh9d+nTQLji5p/nKy89Yp/cANlkoG2SYb6YBjL6nLwPPheC6CVwXg3G3g/TX5oGsA9nfhqCBXPIlMrISTn0AUjIgHIYdJiJfg1zImhpiwN9rGVZWResCH5olOBxiwumtIQlZLizdxr1rKz2nvsa2oWMpbTMcQ1kIA6gShzhXY2s2Efgb8BkQY8i7Hb9Kp1RBk2bTf+s5DEnYxLGZa/AeagqUwLUwiGiqghWPwVVXI4QXn8ukORjE5TKOyKg1AGqqd7Nx3TI6dx/w7d84QP6HnL/vKA5BSSQSZN6Xk+jYrR+F7boclZCxk9d0StGGjDqZspItzPj8LQaPGE9e6/Y/OFojcJ5Hy4Zrz4A7PwXfeQd8KAKu60B0heDT7I1e+aDwHfj3rc7H/ldAnrHw/47txcR5E0hOzWghBPqxxIwyC95+Cmz5B7wxF0L9om9qOF3+9v35WL3eNmj3ALRuBcKhAccSoNzgkZCZBsO7wzFjIC0B0uKdkH/Eds7j76r8t23bqjZu3NC0bOlia1d5qfAYaB9+9HFycmKcVt0YsF556fmK7JzWcboZn5aSkqzmzJmrhOFW4UgE3TAcXjchELqGpgn06L8/Hhnt/uKwBQukAuFxsaV4B6lJ8fTu2gaagz/MEIkC8Gj0ccXN5/DX2/5DJGJzyslDEGH7iPEjCqfCoa7RT0ZaIrh0VMQhdtG9Lqprm7ju9ufp0iEXcWB5SctQJDkF2SxbsR4tiqgrK6/mP29Mp2eX1rhc3+/c+N5ev6ahbJvqigY0XcOybNZvLmXj1t10KsqlR4+2rF63WXmMoEr1+VC7TdCVU23wbQYwgA+sRIiMAfyg7QFzosMboDoqQIevy+CDV+C4sdChDzSGocEFe0C/V2FVCm7ZvZFb/7oamgyI6BAy0Q8i1Xd+1yGV0hB6kKJt0wkrwcrTLidseBHKYTFkXxDvfhJbMw24Coc0cweSBiCdeJVFa3TcUqdZsxix4Uq29niGjuEEVte232ccDqpX1sxGzZkBfa+Dr9ui+ioC7SJM/SjAZRPio0CKIwABjj3xfD599z/ExydR0LbTN37hQKmohzgvJLr//zIGYuHhZQumk5GVR/tOvb4R8f99RNcNlLTJb9Oecy65mU/efoam+lraduxBXHzit1/gW8TQYd56sHof6k0cYFntAX9XkKicKo+jHUb+OUUQI2gy8cQ53Nwxfftjitt0DLEXb4F2n8Os58GnoMkDG49xCIJo1TJIdMCeC/+6A8YXfcOFoxIr4bW+Y3MtKSXl5eX4fD6OPXas1aUoPaWooBVulwsdk9kfPkBhz3ZMfn+2+fDf7i449biB/PfdWZY7LjFcVVVn5OflGo/+5xNefvFPWNUNGL8AMhCFAkOjtt6HbdskJscdRLUbi4R+a0RAKcf6NV346ptoaPSjNfnIz01n6ZotDOjVjtzW2ahg6IiiC0IIhJT071bEpClLuK5VCslpSUSCYUpL6xh3xp1kZSQy/a27MeM8juW4/80hNA0rGEEJje07KyjdVcesRes4bkRPho/oBcHwTxeyNXQioQjzlxQzZ8kG4jwuNA3yczPo17MtxZvLWbdpB0MGDbCrApt8D/75kZT2x9+jtjSGhZbocnCc3zZtIZxUVxDwgUyF8HE4ZTaWBnVNsPN+0PuBcTlEwuBywWYQ54HdXcBb0CoxRCSoE/F58ej2IQ0epRRCN5ARm2CTjzlT17O803HsOeMYZ05DCuXWQEkn0p+MwwS4n0icJ3g2Dg6gDR7xLoJiQurfhMmnSTg2kFvqNGo2oY2Xk9fhVbYGE2j2Z9PiiWlfQKgWjnvYSX/814aTdfzez5lhn0S91InTQmAfAQhQSskp51zD+688jjchiYxWsSbw3/zl4go44Xk4sT08c77zLP2veITfJLFa8U3FSzF0kw5d++yDgDy6KkNoumNsSJtTz7uORbM/Z9Hsz+nVfwTpmbk/+PrFJdE68QNFh9CF+/w/tq4CmlzQEISE79tL4BcmMU9/x8a1mLpJYVFX4AiUwFESQ3eenT+f5LxicvNrMH0GrDsdBx/gBrsZvNtg4GmOR3+opzRWthvrk6MJEN9R/0opmTNnDtXVNXTu1EmMGlDALVeOx5OeBChoDhCpbmDUkK5Mn7talVXUibf+fbPx2vuzjLTURFqlJXFMv07Q5Mf4pViJCtB1qmobAYGemoRd3eDUSkcPLqFrzsSFI9E+6lEcta45xA4KVMRGuEz8jT6a9QhvvfUlW0v2kJOVSkODH0vahC37iI8CR7lohEMWS7/ewvCBXUhMjGshzzn5/HtJSopj6Wd/R3OZjiLfZ28639exLZv5S9azs6KJKbM+IhCG2647jfS0RJqrG0mI/xFKiw8lAvzNQWYt+Jrl67Zz972Xgj/kzKElwbYZMLAr6BrLlpdr5ZV+77CBOr8fgRj5tEC7DZTNoRkAo449DU6KUmayN7Vu4yAHbQkpGix8AX29Qnh/j2XZ4HGhr1XQFuyu0XV1A34wNQWaPGy0QxgGwUiETVt2Eaxfz8rI1ezp2R+hJCgN1VKWEh2ji0M0WotRHJ+Pxt8p1EsZrb1AskpnmoIdMszDusmdCNKU4D8GLFEuSnacSJvcmWwrPZFAKAUIgVqCEHciAjbK1NC6gnwG2PUV9r1PcPbkOqafMZs4l/WN/A0GxPLOktPOv45P3n6W4067JEpNe/DxEoso7KqHU9+A8rEwbRZUNkF6/E/jNf2cEkP8l+/cyu7yHfToO4y4+KQftb2mEAIRbS08eORJ1NVUMmf6B/TsM5Tcwg643YfKEh2ZaLGa20MNPQY23ld5xMHO4+D2D+HpC/43jD6niAdqqnbh9SZguj0HUf/+2BI7G1s4b4DHL4JqC37zGCxIgMZOULQMBncHV/yPy7BpGAYTJ06kpKSE22+/XZ8x8ys8puKGq05BRWxMU8cUAsNt8tjD1zq7xxfk/nsvdzwwKR1621hr2h9vqN9ZhHBQ+y24J6XwN/lRChqb/UipyMtOQ8R5ovdhEw6FafYFMQ2dxKR4msMWX85dQ/GmUtJSE7nv9+eS0i6PQFklcxYX43W7DtPI5+DBCF1DGAbPPjuJmvqmaEpCoXk9aLbNzHfvIbtNDnazH2FZByt/0yAUDPP5l8tobA5w3mnDWJ6fzHFjBvPSe7NY+fV2itpkcfM1pzhfOorcBweJruNr9vPKe7NweUzuuvNiIntqHUyD2huVFqbOmiUb5NV3vi1v+f3N7okXTGRbheKE1iZTloPW3zECDgqjR88qvQQoBjsPB+wqiGoz5TwYjX5EIATJPVGNNujSsbTLgXNB9HGuryuFS4/V6R/wU1HDCilpavazalUxYVtj7PhhtKlMQ/glCG3/qVT7/HuQARPlsECnjX4HFwk4NwLphMgy3LyqVlChDO7UeyCEiz22YIdUEMkjobEDbXJmsqX0dCx7EkKdjB2no3QdJMjWAvNLiAxrQzizhJXZhfxreQduG7zhG5drHypgDcN0c/yES5jx2VuMO/VC4hKS9pmMvV4FwP1zoKwbyGNgexZc8gJMvhki0gEZ/S9KzFNsaqxj7Yp59Og7jPRWOdH88Y9/03q0SiA1PZPTzruOqR+/RlXlLjp07XNEnAEHNSgTe0HGh/7BQ/xNg0gHmPM2cMGPd478lKJpOpFwCN0wSU51Cul/DiP2QEfZsh1H5p0/wpztsGQL3HzbkXUfPhoipcTr9dK6oEC6jbB2y7WnC0wNdBtl2y1Gr1Xf7HBMaBqyobmFuEfTfjwQ5fcVpZxj2GXqCNNAj/ewubiENyfNIxQO88HkJdTUNXP/H89j1OBumKZOUefWzJ27mkUrNpPdKplRQ7oxa8E6dEPn9t+eAUnxEAiiKuvwuEyOP7afU6oX+RZwoWkQCYSob/Kzo2QPi1Zs5JmHruX2B18nGLbo36s9aUnxZOdkYDf5nNr/Qyj/uvpmpsxYzsr1O3jwjxege1ykpSazfWcFl19yPAB33vsKxRt2Utg60zFODD1qqB0m3P091822bNYUl6AJwZW/PZNwWSUu1/481VIqNNOgobGR3NwCJl4wkaZmP0XZcfytO0z5CPT+TjRdHcoAsEGU4bTJ7kRLvaBoBJps0A1Y+SHamg3geRLbrzkgmHoQrUBkRPGVxTCisZpuPetRQQN933I/BcI0CIfCVFXWsnL1Rjp3akv7Th1QWg3BkIXStYPOCbWPEX+oQ8QxAATpWphxtoYbnd0YXGyFWagtZKFayGbrKRSZ0c8LhLApqxxA56IScjNXU1a1Bi1nPOoE00kzKEBqTjRi4uWoZ/5J6KYruPP+7pzRaRcd0hoOGwXYz0YRAhKSUhk86mTmzfyIEePOxuONa3nPH4JdeyAQgoXrIXQ9TkoiHSL+fRbof1Bitbp+XxPzpn9E516DyG3d7if3FGNVAlJKjj/tIjavX8H8WZ/SZ8AoMnNaY5qHj8sf6pn2hw/+25GIHqsC+GWd799ZYuu3ce0ydF2ndVGM+vfnvzHDcZqI2DCirfOyJUTUT9NfQ9M0pJTkty4QuWmavWrdFt1jmqJ9YQ5GtE+9CoTQda1FYWi/1M5Q0cidcBu4XAZ7qhoo37YbLRLhnU8WsHZjCcmJ8XTrWEBdg48b73mJ5MQ4xgzpzq3XnMrcJRsY0rcTyclxvPj2TIYP6sL40X3B4yJc00Bdg4/U5HhMt4kdjHIK7MdmEwuzRTEGmqBiVzUlZVXMXVpMgsfNa0/eSMQwSE6IZ87C9SxetYVu7fMYPqgrOdmp6J5oTFnKaGWgoKqijn/99wuCoTAP33sZKmKjQhH69u7CF9PmUZDbCk3Xue6i43jypc8ZNqArrfMy8LhNOrbN2c9xEabeEpEgFDli676F6dxt0lhZx9zFxdx49clYu6odCuZDikDTNNHc2KD5fD7cLhdSKeLTBAPbwJINoHeOOiixIUZT6No2hzEzkk5L+F/bCsYMhdhtgGzGUpuxGQBNyU7JHyb4nDJBlQ26UNjFgvPdpfTqVEGkOgFTly3pGKGgyR+geN0W6uqaGDNyAHGpifgbfcTFCYwYtfHe29l/mSWoJKI1twfffbMymK/DyUqRqnTWU8029RlStMcUbizVQmmAUjqaFmHDtrPo3vEB0kSQ6ivdjidgOfdvbFPIAgWFKTBqJOq1T5Cd+/HSulzuH9qEOExq44DVcWpNs3JbU9SxJ4vmTmbUuFOQuNhaCi+uh7/PAtMNBcopw7DG4hCMJOw/D/9LoqLtVoMBPwtmfkJRpx60bd9tv+YmP6XEqgSktOnQtS8duvZl8ocvkVtQRJt2XUlJaxUb+H5av7TSqY2V0dzx0j1Q0+57DMCChP+ZhXYejGDQj9vtPahpzc8tAkfZS+W8dO2niwAAZGdn8+X06Vr/AYO08258w05JMrn4tD5iSN/2WlpKIm06tXZO6WD4FxsOUgqEoRNoDhIor6axKcD0uWuoqKwjPs5Dq/RE7r3lPLr26+g8L/Fe3np2Ev5AmAvOGMmjT39IIBCkX8+2ZOS3YnAUUFe5q4YIkuqqep54/nMuP38sw4/tj+4L7BMujWoEER2IUmCabPp6Gx9MWUzXjgVcdd6xJGenEfQHeO+9WSQnebnl6nMxC7N5++mPePfTBXRom03vrm0xXQZxHhfhcARpGjz14ud071jAtp0VVJRXkZWZ6oDoo3XgtpSYLpO83Awe/ttVzJq5kuVfb2P+kg2ce9pQjj92bw/45romqmob0IRGTlZqlEr2MHNKFCOja47BICVBf4htOyuxbYkrJRG7vumQTHRCAKEQRW3z6d4+U73yymtcf/21hMIROueb/HcIjHsTdl8LWg57AYHR7SV2g10Pdh+caMAe0L+ESLlE6RqI14Aq4F7nS7YBEvRGBZlgtxUYKHBDIKwjLR1aUhMGVihCXV09y1ZtIDcnk+PHD4OwhfKHWuix9RZ63/2GtvcPQYj0EJibFaoUYg27Y/ZMsaXxjC7JA7oJH1vUVipZS6X9GA6CMHYhR6TU0fQQazeZ9DsrFeUrpcbbHnQwdiqIKKxXo/ncESNh+AjkvQ/wVWUR8hiXk6Y9xON5cJYiSjjRvnMfws01zJw+ix0pY7l2so7VH4yHnJvYVgpGnHNHnnLo3XGfxf2fE4Vl2yxb8CUZmXl06j7ASQf8zDeraTpKSZSC8Wdcxuqls1k05wt69RtOq+x8jGg0QClYVw0nvwR1Xgg0ghRgtwKu+I4/akHCXJgwmEO0tvh1Saz2v7GhDl03yMxpHV3TX54i+75sfT9UlFJYlsWypYsB9J0lJfL2O+4OPfrfF92GaubNf/5Wi4+Lo0vHAlSMh158GwHpTytSSTS3hxlTlrBg6Ubi4j1cePpwTj5zlGMNWxJCYazaJsIRCyMrlSZfEJ8vRLNlcdfvzyUcDDth42AEiLB81WaWrdpKUzBIh8JsBg/qwtoNJWSlJZKSnoQVijj9CoRAaIKIZaELDcuWEOfmwymLueiMkeR3zEc1+vDVN7Nk2QYqquu56YqT0T0uItt2cd65YyEY5plXp7B2Yym2lORnpSNRhMNh+nYt5MxzRvLA39/iiRc/54E/XoCWEAeBEF06tWXrtjK6dGob7cQXYNSIXowy+5KZnsS/XppMtw75ThrHlnw6fSk7yqrYtnMPrzx+Ay53tKmQ2lsdAVHMgq5hh8I01jfT5AsQClts2VHBth17uObCcQ748zBGtBACFQiT16FAnDaum/63Zz+S1113jQYKKaFbJ5h6AUx4AUquAS0jWvof21RRunmCQBxoNaB2SZQmnINNNQAZOGQmFg4iD4QfpylWSvQJt8CUEk1IZDTy0eQLsG1TCeV7qjhmQE9Sclo56RfNWccYLuogVMu+uX/hXJsCgUhSBxkIMSOg1IanTI2eYgcvRS4jrHQ0wgeUxyo0p98fyp6GiwJWtDmF/v7XCJtxNNXnQrPCektzxqYLkNKBINx1B1tHXANy7GGBWoc08WKHYHLHYznn9vepz16A/MtwBArbcqxZURCNbFiQsB2GDYh995C/86uVFsT/usW4XCadegxwHoYD8nE/lwihOQ+3tOk1YCSdegxg2sevUdSpJ3kFRaSmZyEE/P0Dxc7TBKIzLfTwMUa47yRN0GkW3PrYr78MMJbr3FK8AqHpZOW2/lGof3/NIoTANE3CYSdX1LpNG+2N11/xgq1Gjx4bOfGKpw1/Y5V499k/iBPHD3SeiYj1jU1vfkpRSjnRskYfG7aWkZ2ZzI03nglhG6u2vsVDFUJgGLoTXZPQOjeDdz9byIsvfsGZJw1m2dfb8PsCjDqmB1XV9Sxft53xo/tS1Ks9NPkhI5m3n/+E9yYvoSAnjWZfkEAwTFJKPF+vLyHOY9I6P5NQMIy/OcCYET3JbpWMbPAhDI2K0ioWr9rCjZefiDvBiwpFnHRCcwChCa67doJDpFPTwKbtFbRvm4UrJREsm0i9jz/fch43/ek/rFy3HRD06tKG9u3b8NEnMxwDQNPQhUIGw6iAYuSgrixetYXXP5qD22VS3+iwUF0zcRyfz1xB0LJwByO4PC5AIdzRPL6CiD9EdU09m7ZXsLuqnm0le4jzuOjZpTXXXTTOoWV2QgSHXxhNw/YH2L27UqWlp0ohHDSdcIIJdOkEfxkIlz0J2v3RqoDY5RJwSt/qcbpZRQRCaVFXvAmnNtALaHvTMEGQHhy8QAikKTAtSbIRBsOFbdnUVtex8uuNpKencuKJI8CSyGYf+qGU55H4CBYQHzMWDgDTAzYapUoS0rpi8ioREpF0Zt90kYbAzAgjrdXI+PWouBvBdLPeezrtA1PZsfJkGianRZV/9OJCA6FI+keY/LwerN6wjb69Ox3ymTxsjMcfFpz6vGTzTWfRbdebqDXL2dWz395vxMZYAsml0P10x7L5BejEoyaxUHDZjo3UVlfQrfcxeOPif1TE//cVTXPaC7vdXk499xq+Xj6PhbM+o2f/EdSbbfis0oVoC8rax1gVfPd4chN07uIo/1/WDHw/cbqnKdwu949K/ftrF5fL8aKklNi2TWlpqThh/HjXJx9fHb7qysutUy+9P27Nl08QDkdo2zqL5KQ4J3b7M0+lUgrhdVGxp5bM9BT69u2IZSlUIIhpHHz86boGzX7GDevJCacOZ/Gslbz9yUI6FGWxuWQPi1ZtITcnnQtOGUpRu1zsyjqEpmHv3MN55x4LwVCUH1tzQjYuk3v++gqnjutP35G9nENYaBAIQthJDlthi3b9OrL96Y/YtnMPXXsUtWQPYsrHamh2KuA0ja6dC5CWDc0OI6CZEAdKcc8fzuO3dz1PKGTxztM3owTEx8fhDwRJSHCwXFq0x3tSYhx/u+9y8AXBZRJu9LFuYykd2ubiMtdwxwOvccHpI0iK99C3dwd2btsNAmxLUl5Rw7pNpXi9bsYN78l5E8e1VEuoYOhbnyFnTdzs2bGbDycvURltekWqa2q0jPR0DZzpmbsFbpkL3tEOL4aIeS2A3Q04XmG+BlahQMWBbZSAXQ1MBjYCD0Vz8boDlMsEGRTgAc2tkECayybdbeOr87Ntay07S8vp16sT2W0LsBub0TRxUCpQAEhBWnwYI6iwpNhvjws9+iENpytnD9D9CrFZIUN7ya9iZ3CZpVFmAQw6aJ4EAj2pitCQDRCZCUP+jJ1gIPwKn5HFnoq+tOnyFevtk7D0A0s8BcEuOjXaNfzl35fx9iNZxKekHGQEHNLVUQreWQ3rkzUiHSQrR15A9oblZG7+eu8HFBjboMtkuLQHpHkcBOT/ytEpoyH++ppKNny9lKKOvUhNz/pFhP4PJ5oWjQbYNj36DWPMSRNZv/IrLvnrEuTE3Ui3U1urdOXU2O6r/NU3vGIiQa+B/PRft+cPoJQT2ako3w5o5Lft9KNS//6viKZpmKZJfHw8TY1NJCaluh5/8mnRuXOHyJnXPsrpVz3Cf9/6EjwuLPnzRgGUAqXr1PmCfDptOcmJXnoM7IJoDhyk/B3jL/Yfp4cAjU0MGtSZu26/gOEDu6AU/O6S8dz7j9/SqX0uKhhBN3Q0TWCaBnajDxmxUVJihSPYEYuyLeUIXbBq/Q6aSvZgNfqJ1DQgg+GW3xWGTun6HbTOa4XHZSJse799qKTCSPBixnvQPA6CX/O6CYUtSksr2bJxJ+vXbieEwu0y+cedF1PX6APLpnf3DqxZv2VvemafuYnUNiEjNrbPmY8+fdqjhOKaC8aRGO+lbHc1f3/mY5at3MQHkxfx0eTFfDJ9Kc3+IBedOYqLLzmBnKx0rLpG7AYfMhA88mdIOU5EfJxL37Rqtvv3N98QWrd+g/IHHDT57j2K6rYQOhawQcV62zQotJUKcgV6D4GxaDeSN1G5TyDULQohgTeAAkchxWlwFk7Ts+1AK5DNAjYIvH4fjfW7WL/wa3zBECedNJLsnEzspub9gK37iiYUhAwGdqylbVWzw0ew78dcOOdqNA1gtdYIX6LDsWAWSjRDobHvK6aEpXOj2MAOBOswXNuI9H4Xkiph2F9AM6BeQK2GVmFTVdKdwIkeCjbO33+Q0fH4T9TZeZPBjNzrePTlVYR9zQcp6ENGACwLHpsOoT/jlBcIyYpzrmbgm//GNl3UFHaCRkXBM4KXb4GB2U5Zxa+9HjwmMc+/ubGeJfOn0qFLX3ILipC2vU+L31+qCDTdiQa43G6Om3A19y6dTeGKaZQbg2nMzCfidZju9gMJHones8FdBT3yo1/5FevKGGvjrp3b0HSdpOS0n7yi49csWVlZ/O1vf0NKSU5OjueLKV82nTJ+lBg/qrcRlxT3i4ikSNtGz27FF89MorquiWuuPxVrdw2662DlL1xOvluFLYSpU1fbQDhik9Uul0VfreKNSXMdvghDYFXUgHVww5V9Q8WGLpC2TX6HPC47cxRT5qxBCQ0jzoNs9jv7zDQQlo2ek85f/vA0V557LO06tkaFwtF6ecc4EHEuSjaVousaUiqa/UF0XaN4czmbduzC7wvR7A+SkujFNHSefm0a8XEu/nT9BDJzMpm3aDW0FOE743Mo+ve2K1cKZNgCpZi5YC3H9O/MMf07s7uynoXLN3LzjWdHGaVwylICIewGJzd+pI1nYiKEgGCI1gWZvPHRg1BTr/3xzue85511SvjK636v3fi76/Rsjy3wRYlzpEDZCpSGNkNg3AG0r8Y2NmAtfAPMElSfB6D5cUEtoFlO/aBXQ5wMtAO1DEQPhWolaPN5gLypuxnWYTbpbdZQ1LEX6QWZLV6/rmkH4qdbRBNARKN7TiOtSwJsrkuE1L0hfpUHlOFwE7hxshH1YB0jsPoLjC8lWgUIl3LIg0oVdpMWNQJ0FF8iWIjITsVq44Nep0BGV7TdUStIKgzpDE4/OczmU0+ix+Q3yft6CeU9Bu4/2Cj1d+TxoTxyxS7S35/Hby4Yvt9HDp0CEBC0QDSBTASUhpCSZedcR/93nsZ2e6hPbYM7STEwWxCIgNc85JV+dRI7uPy+ZhbN/pzWRZ1p26EbUv7ylf8+wFSU0BBKMWubzZouI2k+dTi9prxGc6scqoq60JhdsB9KWdvJ3mY0sd7zBqgCUPs0IjSDTm+PXx5M7ruJEBqRSBjdNEhITPnFIth/qRIDBxqGgVJKJCUlJene9FDxlgrtsedu08JbSh0Q2c84Ps1tUrtzDx6vi3HDe0C8FyMYdkrcoqe7UgrhdlFfXQ9AfGI8eoKXaZPmsmTlFiZOGMam7bsJhyPc/pvTKexRhF3d6LAHfsvvownsRj+2svly7kqSEjyccvJg4j1OuHbBwnW0Sk3EqG/G5TJITPQglY0WNVCEJmisbqAmGOaplyaTk5WC22VQWl6H223QoSibayeOIyk/E1wGi6cuZUtJBRPPH8vfHn4L25YYlk12ZhpVNQ1kZqQedrwOpMkp+4zzuqht9JHTuhW3Xj8B4r1YtY0thE5a9LOHzI0f0dqA0HVkJMLGmcvA0LnlqglkpCa5XnzuqUivrvlW6+6nmG2SobQJRKKDohc7QUxaT7hvFdR9BetnIbxXITo+AyNAmWH4WIuGOYFhoLdxIgbhizXUmQLjEx/nF8/mknM/wxa5dOs1Fuxwi9cPOE2UAGXbDkZk3xA/gBK4TYnLitL+xji6FVhjwFitEJtAZgunFNCLQ1sMWKdojta1gXjQ5yj0TbZT2+trwgosRk/5A9bpXlQmTnOjUgtd08BUkAvhCzVoC+BCsy2+Hn8BA95+lrA3jqr23fcOVnfmzYqTuP52Nvddu57TRlWyl1v8MAaArsMlx8B97wBXRnPFQkNpiuUTr6HfpGcp7nIaSao1tlSYv4Ca6aMhMaRrJBxk5aIZZObk07n7AMcz/BUAw8T+exWEYMl6nXCBRBiC1addQvaGlbSbP5XynoPwpWfhS8uEz8D8UKFKBcIFKojjMLhBTYDwNdHrmdDUFV7/BM7p60R9vmnp1T4VUL8kUcpGCJ2SretBKdq27xYd5y9tpL9ciYEDwUmXBYNBLjj/Atf0z98NhaubTDSh/5xRAAVI02T2jIVs2lFBblYqU9+cTqeOrSksyIzS/CqU0GgOhHjkPx/TrX0BF1x1CijlhPSl5L8fzaVtTjqaprFlxx5ad2njxGxNI8o5f3DeU0VR81pWOq8/N4mZizba9QFDnv/bJ4x/1l6pTjlhgAg0BcTHU5fSsSibhnofRQVZBIIhVMiiuslPaWklWTnpfPjpfIKBMJefN4as9GQyMlIgJc65wYgFviBWdQNKKQYN6sqgoT3YvnEnWekpeOK9oBS9e3Zi3sJVjBs16Jujdkqh6Rp9uhfx2Yz3yW2VQq9uhSQBhtft/N4PXhgnqoGmsWzFVj77cjkul4llS0YO7k7HdjnGX+97yP7dn0z7uF2p2vO3CrhMCTQbvvga9fFnio5eQeE5cPM9qAAYWxtQuxKw27ugJ7ASpwigE4hyRWSiBmcqkkrLyNm1hjzXcgraDyE+KQPb14imaY6CBRCCYCCEyzTQvC4H17BPSsYGDJfN4g1ZbEpNgPTobotWCKj2GupUhf6ZQm9Q2E0ClSqQcdFN6WMvfm472FkCuxDINWDJ65BwIrKtCbaFVm9gbrBhuCB0gwDXPosXZT+UhoFm2yw971oGvPFvQgkpNGbnHzDpGv72Nt4eFzBl3r9IafMtBoAm4M5jYcNz8MbnwDE4FowFdpzJkg5XMOSZFxk5ZAK6VoC9H1vDr1X2AsCK1yzBdHno0nNQCxbg1xDv3uODPbsdEjKpAxF4ehmEf6uBrtBsm4rOfajo3IduU96l1dZidmf3wffnNoROcUFX9qYFNMAP7k+Ba2ipXZG5sK4J6kMQb0TxToeYmn1DaIf7zM8lSjk9yRtqq9B0HcN0OREe7Zcd4fmlSiQSYefOnQwcOEDMmzvbfOPNef7Lrh6dSFX9z5IKiKXwwk0+UlLi+WTaUv780BsgBLdcdTKPPHI9Vk0DSipcWUnMeGs6ZbtrGdS7I7M/XUBufisiEYtLzxlF7+OHQEOT81CFwtDoB9OgprIOr8dFXLzXwQXt/XGEy0RYkuXz19v/fGW2dvwp5wRPPrNrZHdlQ/zkeZulqRvG+s3b9QknDAZgzGX9nAfEFy3EB0QAAPikSURBVIREL688/ymWLcnMSKJsdy3333Y+erwXQmGkbWFX1kf7PQgnBB+NRtjBUMtz5w8EWb++hPZts4lLTSIQCCGl/HavXSri4t08ePtE/vTAGzT7A2RmpNAmrxUZ6Yk/OPSnhMCSkrWrt7J4xWZuuf40kvMyoSngAIt0XbTOyzZuufeWSFamR53QnKgt/V2hqGlvwJIvUQXjBBc9D3uaYfksqN2Old8XMnoBNozWHW+8i4JkgRXU8CbVkFpeQsqytXh9hbQffhrxKesJNzbj2ieSY9sSPTmBObNXsXjVFk4/fiDduxYiPG6IRMBWSCnAE2F2cSu2DkiANMfLbimrkmAdL+B4gVaq0F5QmGsUkQ4adjItkVVKlVOyZ0vw6zB/LaJcoEa1BaUjasFcvRJ1WTfCE6PkbjGYgI7TbTC2ZLoTof/6lIl0+fIjNow9jUBy2t4PRMGQ/hM6MOnFei5ts/etw1YBWBJevxqq74MdFsT7QQsJahMUBaVxDBpyMeM9r1O15zRaZeX/ZHS4P5bEDo0dW9bRUF9Lj75DMUwP8MsF/cUkpmBv+RA+qIWgjRN2agD3eUQjPgKp64goGGjdCecQX7OH7nd/RuWIjtSKQhqanbSAkNH8lAUqEcRGUFGeB0zYMw4e+xTuO2vv7+8rMRK0PQ2QFLc3PfRLMQQ0TSMY8KPpOhmZeQC/+DX+JYvb7WbgQCf/mJ+Xr50+4aS47j3zVLfcFBGXmuBQh/6E8yuEwEahvG7e/3wRS1dv4YV/XE8gECbB60F4XJhus4VOcU9NExdPGE5+fivGX3w/mhD84+5L6NqxNZHt5Y5Sj4LbdLdJ5Z46Ppy8mFGDu9K5RxHK74DfbFuhx7lZvmwDXy1cp976bLW65Y93qAvOPzf+3XfexuNNCI3om++69jeniOtv+BcnX/awSkn08NCfJnLmGcOFB0GMlv76i4/HZersqWnEtiTCH4w2dhKHZVvUoyyhhYU5xMd5+OKrFXTYkUuvrm1oW5jLzrIK2rb59gZiyna4RR76yyUsXlLM5zNWEO91c8vvTkcGI9+7fbKSChHvoXbnHj6cvJgLzx1DckoSocpaTN1AhRUoRd9eRXw152kTU0dVa5z5SbL6KMUUWl4O9lOT4ZP7YPcaWP8BdDwZ2gx1wpFh4ZQFniugSeBeFiCpXynp8esx1sLajIsZZTXTOWEmKqxHm1TtPbykVOi6Rl1DMw8/M4mps1ZxyZkjGdK/Ex3b52IahtOfQHP4CoQejXLuS4gSa0pkg8wTyHsF6jWFmKSgg3DKF73ARgFvgcjRUGvK4A/vIIpuQtSlQIWFbmpE5p6JfH4S7MqC6j1QVAQJUca9A5mHFASTUijrOYj2C6ZTPHYClmufbkQaBHJqWVXfer81OawBYGhOxcCUu2HxVshKAbcLtuwW9DtDEaclU1l9Dgu+fJ+hY04lIzPvV2sExMBf1ZXlbNu4mi49B5OS1upXAQqLRZNKm2BqCYTv3LuogmjqaZ8yVBW9H03a+NKzWBx3KUXlsylwzcE0+xAw0/G5sxwODVMRzhW4/wWhp3AsUBN8veGtKXByZ8jNcaoCDpTpK+GFrdAhEc4thO6dHOV/OHDNTyUxT3/LhlVIqSho28kBd/2fAfCDREqHRrWgIE/8/pbbtBNOv9G664YJ5vCBnenbpwMqYv1kCRYpJXq8l13rd9DQ7ONvfzyPK64/ndmfzmfx6m2Ur92OsiJU1zVRV9OMQNCmQz6hJj/nnzqMmQvWsmV7Ba5xBgjlKC4RJfNJjuflf32IVIo2BZkQ3ntftpTgMfn9fa+qzWU+9fFH7xgDBgzE7/dzzrnnqWeee9lo2ybPJiHJ2LRjj9RNt/IFIuKS3z+Fyxuvzjixv9AiEdG7WyHvfbaAEYO70b5LawezcAjO/kOJEAIVsbjymlPYvGor/3x5MrZtc9rxA/hsyrwjMgBiz4IMhhg0rDuDhnTjT3/5r5MbJsz3SuophXAZqLDFnCXFeL0uOvUswq5pxG3G3FmBkgpl2YjaOjZtKmPqzMVWzRc7JNUNLtX7AhjxvkMRuHsbnPg4jLjJGZKS4BEQEogySN5aSkavjST1K2VL7+NoLMmj73PV/PG0tRQWBLB9Brq2/5wahoDmAGOH9uC6C49j1fod/OP5T2kzZRH/uu8KOnYtRIVDIHV8EaMlxXlQVESnBROAH+yLBHqtjbYYZJEAtwJKYeYujDiJ+Hg1kbvHIJMS0N9TaGUS604DtbM9PPoChAMwZQpMngzdu8emav/p1QUakqr2XUmsqqDtoplsHjF+75oGwXjoVc4+cSAtgAS+wQAAh4s8YsOgfehicxJBKkHEUmRmtOKY0aewaM5kBo84kYzM3JaGOb8WiXn+jQ21LF/4Je279CGnoAjbtltoH3/JEsUaMWkZhIaDCoG977D31pnsJ1LTEWVlaNkz2LHrEghCZ/0dRJNGhdWbBk8BluFxrNUS5TBsxcQLO86DQR/DhA7wx46ADrrpPIdrKuDqpaANA1kGz34CfxsCI/OgS1sndfpzbZHY4RYJh2IANsdw/b/w/w+SWI8KTdOYOPF8ysq2q3+9+FLkk+lLzZlfPk5kdw37OiQ/9lgIhChsk83rT94Iukakso5hA7qwpngn/3l1Mh0Kc9iys5J4r4sTR/ehfZ+OzPxwNl3a53PciF5kZ6U6+4K9ZW1KAbrO+s1l5OWk4fW6nM2Mc464TJ1QVSMNDfX2pI8+1gYM6Ec4EsE0TSKRiDjv7An6Y//9b9AKBEVycppqblypd+rYQSQkNPHYC1ODJ4/u7XLFu0X/nu3YtGM3z742lYvOHEnPFl6AI4+/Ww0+5i7bQNuCTEYO6eakugyNUCiM2/3tfbxjoMBwXTMr126nbX7mt3QO+2ZRmiBsWcyft5avFqxnUO/2TP5gDicc1x8ZsdE0R/kLj2MMfDZ5oXzurXmkZhXZY866V5vTfQwMBTF0HkoXMPIuGH0RVPoRLjcqoIMPEoJVJDSV02pCMQ2n57Mi7zKnrLPY4k/DtjB+aAmhXUm4zUOVqAqUZZHRKhWXS6dH5zYMG9CFRp8fl+l4/26Xza7yFFbHpUCKQ/KjDjcnAsfjD4N9o47rT2DXgp0cge3PQmUhFFcSF7qIpi5tsdPB7gl2TC3f/Tf44D3ISIWLLnIiAFGjQ9sFsmH/n5OGBjmKbUPG0G3yO7RZPpeSfsNBKeLfjTDQt44nLsrhvZn7VKt828LFmo7EDNCYwjENhzK4VVY+A4cdz9J5Uxg4/ATSW+X+aiIBsfykr7mRpfOm0qZdV9p17OmUD/0KlD846yGBKSugaSKH6EF9GPngA9Q/n8R++O+YJ9lo92ms184loVUFHSs/pybSgUZ3HnVaOyxdQJVqSSUgwO4KRleYtBImfY5DX+3CAackgHHr3nRXHXDdf6BwGbwxFo7p4RiWhv7TAgRjLH91NZWAIregXfRw/+Xv1V+DxBSlrhvi7LPPN996691Qm/xME9v+WZCguiaQUmFZEVzxHnZsKafZH6R1XismnHwMiXkZTpizOYgsr2TM8J7s2VNHQpyH+LREVCC03/UMXYf6Zi49ezS6LrAiFoZpEHMDbVviTopjaP/Oxkv/fV5mpKepoqK2AiAcDnPNtdeyp7LKfcP9T1g333Sz2F3tR9d1PB4PS1euM9/7YqGYeN5YmZLfSrv+1vNZOGUJr70/mz9kJJOd3woZijgdAb9FhHBSCZf/7gxmfzyfPz/0Jk/99Qq6dW7H+o0l9O7R/sgiXkJQWd3AB5MXc8eNZ6FCke8VvXN6MRj4aupZVbyDMcd0Y9jAzrz98XwS5q9l+Kje2P4gQjdoDoT4YvIK+4H/TLfPO/8C4/bb/uCesRJY0Yy2SWEHVkDNcmh9FqIhjNI8KK+Ge0sTGbt3knzcVuwBirWjzkWhYRDBWmMyrK6ewgHNRGq8GMah+SmEcPYLwJ9/eyZfLVzHlh0VnHniIArbZGIHw+hexYZd8ews8EJWdOW/YU5EWKF0BRu3IUNbYHsGWkp/tHAm1gXno/mTUR8okBZIwzk/9Sir4eCBzmtfkYAF6a+GOM7aQ4LhMLv5hUGNy8Xijmk09hKsG38ufd9/gUBiMpUde6J/sojLT84h3LT/WfetBkCD5UQzEvaNK+8zYUopMrML6DtoLIvnTWHg0OOddMAvPBLg0PlCKOhn9ZJZtMrM24v4/wWP+0BROFiSqmog/jt8cd48SM+AQUOIAMbd4LnbpjmczYrCKyhomkdB0wLcrmZsLZUqWjvMmlKhNIGSjkOg9wGtDy2cQS3h0Bh1pwKhgXkN7NgDZ/8LpprQvXN0/D9hSiBm8JVsK8ayLFpl//qxK79UaW5uFuvWF3vyWnmRQvxsVZZCgKFrKEuSlpFMalI8rdKS8SYnENpV01L3rek6yrLJykwBqZD+4EHngKYJCIUZNbq384dgGKSK7l+HK14Ggvz78ZvpN/o33OOP8J9nn8Lr9caiANx9913CMDT9jDPO1Nq2bcuFF17IU089xYcfvKdf/vt/yh1ldfaIwR1F96IsMWREb0LBMB9NXcJ5pwwltaAVNAePiIxMKcXWxcWsWrcD09QxE70UprRlzQfT6NOnEyrKCPdt15HRzqMJSfGoiHXE+f+W6Hh04VU4QlpBFpefO4aHn/mEfj2L6NA2m6omP0rTsKXElRrHks/mq4eenyWnTf1cz8rK0QDiM0BUNMGu90BuQ5hpKNuH8rrQIgFS68pITdlGolHB1kHH0jgiDxGW6IaN7TfJWBHiT602MKDDbiJVCeiHMQAgusaWRZzXzUknDXGqPfxBVMRyDjKpkZEQJqU24vQiSD7MhaJgPc+cAFpSHIF77sRKb4ItjXjCr2BP6ASLv8SiN6HWBSiv6UyY+8CLyGjFhwLDdNgJp0iua7eVe8euBtc+B23AzX/nF3Lz072xH7RZcdaV9H/3OSIpadTlzuRT30Qm6l+zb87iG0++kII73oDnFu1fY76vxIyArLw29Oo7giVzp1JTtRsRbSX6SxWlFMqWDuLf7aZ736FIaf9qEP/grImhwfLNUF7Ad6P1ffxx+PDDaE9wsDpD5B4dUymMzTal/mGsybuIRLucPG0+mWvWEtdc7TTcAIRw2ARt6RBH2ZZjxNrRl9Jxdlespa0FWhbsuh5OegMWrQJ/lKjiCNObP1iEcMhZBBAXn9RC/ft/cvQkZmS1a1ckhw8fGaqprkXzuFFK/izkEUIItGhePCklkdNPG8quPTUsnr0Sd2qio/xb9rRoAcAd1gkQAtsXxPYHD/UWUiqCoTCZrdJlTm4O0rZb9ljMCPjzn+/QOnfuTJ8+ffjrX/9KQUEB+QWF9OvbW7vvsdfMm+55WTUHw0RqGhg1ph+2VMxesoHl89c5v+N1aKvlYR4cpRSay+Qfz33CqvXbOeXY/ixdvJ7tG3bi84fYs6cG4XUjvN8cLlRA6/xW9OtRxPQvlyFMHXuf+zncb6NpiBiZjst0Xm6ThopaVq8vYeSgzny9oYSZC9dxxsXHY9c3I6IWg64L1aawUAX8Qf3td95j+YoVzPh8ulLrZim1ZymkRlCnzYXjbiC1cht5/tXkNyymOaMVK5svwT87D2HbKFtzStdXwPmilLHH7Maqjjus93/gQiqlsJsDWLWNyLDlgEABZQsyUoIk10ackr5DTwLCViBtUlYrUv65BXNPAPHa5zC6K3bfLVhPnwQ7d2DP/i+h3j5UvBNZFRtBe1ehzVVoSzW0RQbCZ4DpAiUQKIxJij/22oQMGISq4wjXeAnVxBH261w+ejMTMncjZ+kIJGtOmUibudMx45r5ZHsHgtb+SuKwBoBlw5NfwL93wSvTYpv7cPPlTFhem/b07DeMZQumU1O1q6Wf+C9NYl7+9q3r8DU10Ln7AISm/eRUsLEWr99XbAUhC856AXadhpNvOlKJRJyXpjm7QDph/cgzAtFGx2NJ9I2SzWknsiH7NHIfW0nrp5bSasd6XOEmp0qAvYaAMhxDVGnOq4VMCFpKZKQCLRd2XgUjP4cn50J5vZNS+rGNgJhiqijfjm1btCnqDAiE+HWken4tEnt+EhIS5Ynjjw9UVNWx4NP5eBLjnc57P5NoArAssorykFKxbks5uE3kAcrMOQO++Vq6vk/d+D6ioijySChMU7NfnnHGmcQnJOxXChkzAqSUdO3alTvvvJPk5GQ6dGhPjx49SUhMVEP7dxLC8FpmRjLYFr/97RmkJsUxefZKPpm6hK2byxEeF1qi99ADFILKyjoSEuK46MyR5GWn8uW8r5m9aC2Nfslr73/F+rXb2Lyh5JBfjyl44TaprmuiqE02H05dgkiMQ4/3Itwu1IEPbJQhSMR7iIQjRMIRhNdF1Z5aaqrrKdu5h08nL2LV+h106ZDPsSN60bFtDgs+no+RGIeZlgRKqJ17fDI9PU0vLl6nbrjht/axx45V9153nOrUOFnY59+DeuLfJG23yK2bT769CMP0s7rwQiqMvrhUGAokStcd0kMBNENBwI8RH8T+DkwfTst1DSNK9QwODXAkrJGb20T/5nr07Qpli/0N21hI0yVA00noFE/rykeJNIWUqrQR4SCRy9JQdgRy28HQvqh8w4mYBBTuv9noLymM+xXG3QrjHoX5hBOtJtoW3B4juHtOVyIhA7dp49Ilbl1i6pJIvYdnzl7OOdNLUVM0wt54thtuWqdBUkE9zfb+5FyHTQHM2Ay3LQH9Xqh7wKkxbxW3f5j3wAlTSpFf2BEpbZYtnEHfQaNplZX/iwqrq+hY9uzeScnWYrr2HETiz0QD+0NK4hROqqjSB1ohiNTv6GCZ+2+EmBGADpF7wCrX0J8E72qbQL84Vh1zEenzS2i7ZTbV51fi69KKutT2WFEvQqAccM6hBqr2/oaUoLUG6w7484tQXAb/PAcSdZDaj1cmGDuE91SUYts2CUkp/1f7/yOKruuqe5cOoZp6HxOuelQt+ewBUdgm+yBO+p9ClFLgMikvr2L11CVoQtCvTwdUMHRUDX5NEwRDERLbt6ZVSoK+deuW8KABfVxSSrGvcxEjUFLKaek7cuRIRo4cyVVXXUVzU5P4z6tfsGF7ffjGi0eITh1z9a7t8hg5YRgjzx7DO09/yOq12wgFQ4Qsiz7d2jrKOLq/lVII0+Cdj+dy0ug+tCloRdu2OXQf3I36kgpq65t54Y3JPP3KVHp1LaRD29z9wIWxRj1IyeJF6ynbVc2K9dvp1iGfFXPWoBs6Wa2SyS7IQkW5/5VSCF1DScWyheuorGkgGIqQmZZEdV1ztERSUlSUy4WnjoJAM9Q1064wl3VbyznmxMEsmrGM7Tuq5GufrLSGjRjpqW8M2FlZ2VbEV+2688HrtKbet3FDvU5O3EKSkkpRm9ysjzsXW9cxai1EjYDOBvZYRyHrHonVoJFVFaRXuwZE0OBQx9N3FV0Hu8ngguO2sWB+GgsK0xHtYlMYVf6BAJRVgG8PVV81YO5eJ8/p1YvJ83Qa1pcJqhugqwnLl8CECaDHg1AYbyqkSxAZqjnOnAXEgfGBRB+qsEcJlBTY58FjD3Wk16ZGLuy2o8WLF4CpS3Qb3rllIfFP2LxkF9IwdTN6v5NJnD8ffcIBlQ+HuknbhjdXgXE1WGGoPA4e/ByeOCfK+X840GN0M7Qu6oLQdJYvmkGfAaPIym3zizAClFIITaOhrprVS2fTvktvsvMKf1JFEDOgIhI2VTkOePt0ML/H1EgFafEgAjj1qT9UYmWxEVB5YD0M3Kqjb1GotpKaoW2oKb6Ygne/pqDLUuLG1eBzZVHdoSPKFoh5oHkUmAKVCjIdSOIgi1FGQ//6ZfDJu9D2U7j3TMc4UPwYGRjncAyFgmiaTmp66ndCVP+ffHfx+wNs3LhOO+ekgVTW+Hn43x/x9H9vxyqv/MnHYkuF4XWxfUcFb3yygN9dcgL9hvVEVtUdEuzrMPnJljIv7TtEBg1dQ9XVc9Zpw/T333nZP3zYMaogP88DYNt2tGHX3pSD2+1uCas///zzJCcns337NuLi4uLOuv5fsmObVPu+358tcnLSNV9zgB5dC1mzbgePPvsxbfJbkZoYT2GnAghGkBGHHk4AZbtruP7iE9C9LmQwggzUk5KSSEp2GmedNIRnXp/JVReOc/AOUjkofEDEeynbvouy8moWrtjICaP6cualJ9CwdTdvfTIfTSma/EHOP3Mk2WlJjkPldYNUfDZ1IXOXbGBw/040+0KUlG7j5OP6YWiCHWVV5Oak8vlLHxIK2/bq4jKxYVu5+M1Fx4tnH3uHx178jM3bK0Tnzp3MpYsXq5mT37WOG1LkHj/qdI49sQ+Pvj2JjKo8UsbVsf0PY2hekIHLZ2OELWSTBj3BukCgCgQEwdqsEb/E5iZtC8f1qkD5TXTxw595XSiCQZM+nSoY+H4dC+rTndSApUCTUF4OH3wIu3ZCSZg8X1gNGtxZvfj8Xdo7i5X4XaQvVR9OhoxMGDYStpVBv+6I3XHwsSLcMaoI6nHOYx/YowWuRxWqs0DmgIwIKILKsAtbCjRd7odEFBpYjTr//cNCjMdDzN/eRH6PXnRMf5/166qADnv366FuUgjISwF7A5AHoR4wcxJwDocPAbR8V6CUpKCwI7phsHzhl/QdcizZuW1+Vo8r5gE2N9axbME0Whd1pqhDD6RtoenfioU8wt9oiYR942eEgBIfnPYgZBfCB1dD1jdEVw4lIvoKWY7nfNSA7AKHZSrKOmX9HVxjBOEiHRGU0FFRvqUHu0p6UFAyhyzPKtzhesIlSdT9pgv2IIGJQuWCyhdonYBkUK1Adto7ThUdd8OJ8J9XoGg2XDISUEefMMg54DRKt28gEg7Rtn33qKHxf97/0ZbYc9bY2KitWL7cvPCU4YRsye0PvoEdOLoe95GKoQuo9zF8ZG80AVPmrCQl0UuXnu2Q/tB+wLaYkyASEhwAmBVtfBMKt7DvfdM9GIaOXdfExCtOZtXqRxP/+cRjwQlnnBMaNLCfyzAMAY4h4LD4RVvARI2QSCTCo48+SkNDA8nJyYwa9by2dm2x9ehL8+yNG9brDU0+4rxuDYUYM7yX3b1znP7Mq1M599ShdO/cGldKAqrJT9gfxB8MEwiGidO1aFtbHWnZzJmxFt0QbNxazrIVm+nfqx1aUhz4ggi3yZIFa3lz0lwG9enIzdecCrpBpLyG5KQ4rv3dGRCO8NH7s3jx9ancdeclEI6wp6KW4g072Vqyhz9cexqZRTnOYZacAs2NzPx8if3ye7NUxDbtEPEiPqkVLk+maAzV8vL7s4QvEDZCIYvsrCxx2oQzOWHMwMCocYUa9aWqfPMuUTx/MdruRKpyjqViUJS46xib8CFAT6IZEtZE6D29gbM77OTSEaWoMCiE08kPWrATsXWX0YPbgX99+/7UdIVsMslsF0RsA9kFhCeC0lzw5JPQHECcfhzCP5heZIsbB6DPWQm5HknebY+oquWPCfGXu1BxbnjyQcT6OFzPS+xOAlKIUk3jYAAFKJcg4gXmKcRoQdwqm64rGvnDNZvBtME+uGWxrivCdR6u7fMc5/dIY/SAqeDO5cspG53S7th+PeQNanB5f3juCWgYAZYOzd+BBloIDaUkuflFCAQrFn5J38FjyM5r+7MYAbFDKRBoZtWyObTKKogi/o9eg5+Y5/pt2yf2vqnD2DzIK9ynkdJ3sABi5ZgLtkBDAUdQz/EdJWZUNIPIwQGjCs0JS7WTmNsVpXNGYN8FRVunkVGxmbj+DTT2TKeODlAL2jaFvgAICFRrEKOdyILqDSo+ertJsOdi+P0zjuK/ZFSUTOsbIk3fVWIPdXNjHUpKdMP4v/D/jyw+v1/U1Va7x48fxPp1O0Sr9GTqt5Q79dQ/efRFOI3UfAGGjhvAqvUlzFi4li6DuiJ9QbRYJ7do+FxFLJbOWcnuyhpSU5Lo2aUtKW2yIWw5xoBlfWNUQBgGVmUtf77hfM677hH3wnmzgmecM9HOLSgS448bI5KTkw5prpumSTgcJjk5Gdu2ueKKqwCM6dOnyUWLFluNjfU8+uhjAhAVdWH7vn9NEl4T7fOZKzj3lKGcNLYvfQd0xhXvpX2bbBqa/SQkeh0mQRSa28Ur731F9y6tGdCrkE+/XE4gFMYwdIb078zcOatZtnobHYtyOf/y8dhV9YiIxDR1lJTYlXUIl8Ep4/pTvKWcsD/I6uWb2LZzDyHL5neXnYjuMgjXNmFHIiz4chm7d9VZz7673BoxYhijR40Kjx071qVpmgegeMOm8PIFkyPu0E6mfrVCGz32eO2hB+8PrlsytXnL7KmZ1XUhVdfQxOCeuZw6YTAvzE6leKuNXqQhgzoidkbpIGzQTIW1STB4Rh2vXLaQnNQm7BovQheImPevlIOdUArZHEAzDDS36Si9YBhlWd9qBBiaQvhNzhu6k4qPvbw2uYC68RrEWbBrN/z+ZuSAARgBePOjCO+9L3EnuGhu1mBEs+C836POmI5W2w3medD+a6NMDStZwHacjsYdcRoJhYEIyDSBVgnaV3BB+U7+dNEGbBN0+zCen1K4PBqvfLqdf9wxCCl08Ps49vgRvDfnCIiA2qfDH8fAba8CeXBy1+jmPsJD2TECFDn5bYExrFoymx79bPJat//JD1+lFLZtsWHNUtxuLz37D48i/mNNpn+YxDzWGj/UBKF9apT17hBXj81fmzj4z62Hfu9IJHbtrXuguRXfrQLgu4gGqhlnp4SdX1a2RqgQPBtsXPcKtt10HFwOnao+I3H5LjyFTYQrE6kRHQhnAO0Uwgfmq045mDgB7G6gCkB2AC0Jan8DNz8PTcDFgyHF49BRGz80stHS3bERhCC3tcNq9X/Mfz+uSCnZtXu3XrxjD4Vtcnj+4Wsx4tzY4WgXk59YYt57xBckKTGO1KT4FiR9rNe8rRSa0Hjp7elq0syNYW9yK+lrqBRdWicbA3sVGl06FdKlXQFGRhL4gk7b3kOkNQUKw9DxBQLceNVpwutxeWcuWGBP++RVu/jr5bQt6qwPHtxP79y580G9ElwuV0u61LIsbNtm3LjjtHHjjnMtX76chvpGvpzxJevWbXKhpHK7EtW6TaXc/Y+3+fdLn6nrLjpWtG6TRThsiRnzvubis8egp8dD2KK6rIpunQq47KzRNDQ24POHKNndwKp12wgGwrz1yTyee/y3gMDaU9fSY4Do3BmGjlQQCEZok9uKl1+eQk1DM6ccN5Duvdqh/EGssIUrJYENKzdz3pWPRTA94vhxozwP3H8/gKe5uYk///kOwuEwzz77rMvnazbvvvuecHp6sp6ZlcXOrcXi61WLtJzkADlZ2Qwe1Q98EVI9W/hXhzATJh1D+HcKvOCYNY4oC2SxwL1CclmnHeSkNOHbk0C8e6/n6lQlGCye/zVet4ueA7sQqKyjdGs5Pl+QjkW5xKcmQCD8jSFIDYVUGm1dPp68YhnVT+i8WVSI5lmOzMgArxdsC8stEBeYRHDK+50mgC5UOIIQyei+gfB8LnZvsLYpeBPwOftHH6CwBwpkXtSrrAPRVWGvF/xm3BaKUpsO8vwP3PANNY20zk50CJaioDEZPIDb4nDfVzgGwMIHIa4W/nnrXq/zSCWGCcjJb4tumiyfPx0pnfTAT2UExB6mbZvX4Pc10nvgqGjt99FB/CuceQnY8K8FMG0V3HcajOlAS1jpcN+LRADNiQZ815HENn4gDCLhew7+20Q6zF8iTjievyDawAKQEOym41oP3jttQr/V2HjZyXjmKfIDU0j5fAeeSD1BI5Wa7u1RnSF8PBCUGPM1tE+B9sAFIIeBFg8Nv4NbX4Kt1fCHsVCQ6kRgv6Xz6jffglJoQrBjy3rCoSB5rdv/LA1q/n8TTSC27dgt3nx1Gn+9/0o6uXTwuKjeVfWzVNnG1lyzJbZl44vy97uS4kBKbH8IIyuVSa9O4e2pG9Wf7rzXGjt6lPX116v58P0PePWLZbZ78krVo0O22aEoT5w0tp+W0ioF5Q8hDjgUhRBgS/JzW5FfkAm6xugJw3QCIf2Rh9+UH7z/pf3qqx5eePFlvahtm4P2476pAV3X2bFjBwsWLGDVqlU89/zzTJs2jbvuupO6unrxxz/+kYULF8idJTtJb5Uhl++wtFlf78AKVClD+sSK1Rs4btRAWVSYpT/41If4A2GuvfA48nKz+GLafCZccBInje3L5bf8my7t81CWjR2x9lP+zvwBKLR4D/FSsnnHbrKy07jqgnFk5GVgN/nRXSZGspd1S4vV02/Mkhddeqn89LNP3MXFGwmHwwghVGNjk6ivrycvL4/XXnudOXPniksvvdB97jmf0rNrIZs2rDRyM9zxI04aDoGgsOuaELqOCrjp2bmWi+tLePqddtAHqAehFC5LkSIjFK7zcUrCLsYP2Y2s8xB3gPKXSqJ74/h02lIWrtjMf574Ha0S43jtvVnsrq5nUJ+OjB3anaIO+ahg+BvPCE0owlJHBCRXjN3IgvWF7Fi5CNGlEFVQCLrh/Gg5aC4nBWpHQNkGeAR68o1YCx5DDd4A9dfA5ylOWaEGUhNoS8FVqYiMALuzaKkC0OsUrVQIW4nD+nzK2Tx8Nn0p40b0Qjf1FlPJ2at7I3CHNQCEcNja3r7dOfvt70nfGsMEZGblM3jkiSz46lOUtGld1OVHNwJiyr+ifDul2zfRtddg4hOSjyog0Y56qat2wNu7YWMe3L0EipKgKOvw+WwBuH5Iu/RoCKCFj/pIDtUYIv9Ib13TwAOyh0LbbSOzNGiuA3cKCB1CEO4KRomO8YhCTbCxanW29ByPVmvTocPnJFq78KyuIVSSQk1NJ1S2hjUcZ+LWa+gPgrgH5AAHQxO5Gv75Juz+DP5xEhSkOZFX0/h+fmML9a8VwTRde6l//8fz/zFufmA/4NlPJcFgmLYFmeKMs0YimwPYloVh/XxzHkOi60nxdOmYz9JVW5g/dQlC06hr9NG3eyEew6VenrQ4ctlVNxtjR4+Kt6wIPXr0okePXgDN77zztr1k6XLtvmdnyIbmkHnlFeN1Izqth5pdZdsoSznKpymApmncettE7dakHO2BP/0j8vDDf+eJJ57QPYeh5o1RK9fU1ODxeLjuuusIBoMUFhbyyCOPEg6HOfbYYznllFO0SCRCfn5+y5P9+htv2NOmzWBTVR3bPiq2y7e+xeaS3bppOK13ExK8uF0m/opqTNMkMdHLoL4dQXLIEkeha+A22b6pjPJdVTT6g9xz2wWonXuwmwPobhNfc5BJH82Vy4qrbHdGN+PBv97tNl0uMjMzcblc2LYtcnNzefXVVwHo06c3GalxLE/20qtnF8aMPcHOyUoJpWgp7m0rNiAjkvYd81HhCNgarZIC3NxxEzu/8pI4zybX5yc1LkK81yYzKcjIcdXktWqGgIbS9i/5c9KzAhUIc8PVp7L0t0/w8OPv8uwj13PC+MEsX1bMqrXb6Nw+l6JubZH+EPq35CBdmiTkdzGmRyl/rq7g9vmbqe/RFpkU13Iu6+sl9oug/U7DHoqD0FMS4R2C6HYxaufrMOtvEPgrCK+DvZISS1NQKjA/VMjfCpQbx+CJgMeUUUDj4bxLp+Xy8rXbmHjRcShf8LBOj1DfkpCLgda+C0Dt0NdxGNfqaitZ+NWndO05iMIO3ZH20cvD7/97zg031FWzdN4Uijr1oqhjj6NudNjREs11ZfCb2bD4Qgj/ByZ3hROGR9nyfoTih5hh8fpiuL4emsawX4vIw0kM6K9itN77Lqrc50NSwoYN0LYNYns87r9AsEcQVrwN+f0gp4dD/RuOfqURtHlgZStEF4l6U4ftoBkWHVp/ARaE/ZlYRV52deyJnSycft0lEmOTwHpQoLqBsEAYID6DU8rgwROgc6HzG991LmN7oKZqNzu3b6B1286kt8rZu6n/B8VJd9kYxv62/U9dhbNixSru+P1l9uRZT+nhraWYLgNhGlTvqWHlmo2MGz8C6fP/9JVBtoQ4NxVlVUybu4b6Rh9V1Y1ces4YXnl7urU7nGM/8ve/uuLiEoRhGMpJE0hh7lM2+/XXa62HHrhb/eHCQUafYT2FXd90SKV5oCgFlm0TCYaI69RenjD6d5FzLrlBP//8sw2323PEc7FkyRJ69uwJOMady+UYEFJKIpEImqax73jLykr511NPR1YunqmWrVht3Pf7c8VpJwwRQkgqK2vp1b0jz7w+lYsmjCAxMa6l8mFfCYUtFizbQPnuWgxTIyczjaGDu6LF9pXLoKaijpOvfMyWZqr1+sv/0XJyC8yEaPe6ffff+nVrWbliKcgQPToXsXHDRl79YAZPP/Mff6h2Q/3GpR/nvvLREtUmN038/fHfYlXU4TJ1lBQIU0aJQ4AUP0QM50CzBQQNLEtDF+zN+R8g0pZoSfHMmLaUiso6Tj9+IHFtc1gxYzlWxGbgkK7fqXulVAorInFlt2L02D/JWQUTBW/dIITh9DbQfQJ1E+hLQL4Kso8zXPNaC8tjoLqCuGckavetIE4GZSFweAHQwJA29gkaqoNAT1HYcTD3+FkMy6hGHYbXQAHlu2p4/MXPOW1cf0aM6QuhCDLK5PjeImduzj777CPzBaOsuT9IYpiA1LRMhh17OutWL2brpjUOBWdLT8WjIy1I5GiDnzbtulLUsUe0DOfoKX8ZHXYgDD0KoFM1hN+FDAWph+iQ92NIghu0CEc0fSIEckU0CKBF9/i+Zdn7VhOEw3DJJfCvf0JXsIo/AMMDyXnQJGCWxFhtoVUoMEHGgXU60FegPDocpxDYSNtg47ZT2bjzVLT4BlIr11M4fS55q1djLgujdI1IocD9d4lWqlC6k8/jJJjUBi6dDlPmOCBUXXOiUkcqMdt2V9lWQkE/6a1yHGKq/zHlH1P6MSZLwzDYUVIS+XLGTPurr2YBjqKwbRvLslpyy/u+jvaQfP4mqWlKt5ubDwqR/6yia8hgmMy0JC6+8QLOO2UoGjbPvTbZ2rLHUhecf647JSVN6LqOpmlC13VhmiZKKSKRiAqFQvTo0d0Iq3jmryi2v4tFKgSYho473ktwV7n22KM3af984mGrfPceGVufQ4mUMrq+zr8DBw7E7Xbj8XhaMAMySg/sdrsxDINIJEIoFCIUCpGfX8DfH3rQPHvi1eqiS6+RCzeryL1PfKDyc7PYuqMc3WUwqHdHnnp1Klq8B800sG2JLSUSBYbOmuIdLFqxiVFDu3HeGSMZOaYPulJopgkIrECI9PQknn/oSl0EK41zL5gYufiyK3jk0cfZuGmzrWkatdUVzJz2KVdecRmXXHw5rTLS6TjoOBI7n0q37kVcPPFcfcZX89yfTFtBMBhy1iAuLoobAaEppKVhhwXSEoT2JBKu8xCu9xBpdiNtzQHofUO5n2ZoyEYfY8f1Z+Kl44lL8GCXVdK3fycGHtMN6f8Oyl8qNCVxFeTIpx5/185uk6zO6ziKlC8Eym8jbIXdVIb4zQrs7gH4HWgbQAuCFjEcxdEcwPA+gOAFUCsBA8Vy4AtQlVhCRy0QkAhqDYixcO/MrvjDBkI7mFNDRb3/D6YsYfyoPqxav4PPPplPwB9Ei/ccRMz3rbv3aDLjxjABSclpjDz+bDauXc7m4lUtoYmjgQ6OKX+/r4nVy+bQKiufDl37/ijd/TThKKX4KKPmqcfBMTvgz92gW8e9n/kxxR8Cy8URWWhxn8LE9cBUkPOjija2AxToi0Evjf7fMGDUKHjwYdSzL2CXPQjz/gUDxkFKd4wvNbQ3DNxfCLTNOBzW9ThoFwWkCFRXHV0oNN052LaWHM+aHecjXRGSt2+j9dTFtF6/jLiUWoIuDf3fAt0nUbpEStDHw+KhMGEZ3PUJrN7s4CWsI9RXQghsy2mWkZiUdtQNzV+CWFHUsqOwdIDg1CmT7T/d+nvr7ttvkn/5y13hP991r11dXRPWdR3DMDAMoyW/HHtJKVsMgx/6HEYsS65ascrftk02ujpsr7SjIlKqFja/GLWzUuoghr8WEQJpWWhJcZSs3chv73hWfrVid7hZa23fftcD2uhRIw57VpimKWpqaqitreWsM04V81aUaxsXr0NPjEfaR05wpAuBFrLp2jffPH5oe9err7xshcNWRNf1KP/A/mPfu74afr+fDRs27LdOmqYdxC9gmiZutxu3242UknA4zFVXXuF+8sknjTdef1nMmL9e2pZFRnoKDXUNdGibzabtu6iuqKWmqh49PRk9OQEt3ktJSQXT537NjVefSn5BFjIcwQ6EkUpx/+Pv8t7nCzHa5EB6Eq1z08hulaSXbdsUt2vzEt574+nwO2++Fty+cTXbNq3h6zUrWbJsFSNHjyQ9rwePzonw8LY2FPb/I83NNa4HH3kqNTs3W44c0kPWNzazddUmvG2zW1DVmlBowlHybsNhwXPpElOTLWV+3ygKNF3DavJj1TSAVOguA9sfxPYFHDCoLbEOetnYUjqnhwDbVmguDeKSrLf/Oy302mer1JVX36W/dX8vcUY5GF86yH7u/Av2628gXgo71U9/URgPgTKAFBdIE807FMFI4CkMJpGhzQFeBDUZxDzwRcAAzadw9VZ8WZDFfTO6EgnroB3injXBrooajh3ThxuuPJmS8io+nrqE4jVb0ZL2bxhztIvHvlViRkBCYhJjxp/DV1PeJRIK0LX3ECfVcBQAWpFwmA1rluDxeOnRb5iTZjiKoUY7GoVauwuWbHHaO3sMqG+GK8fC2b0hQf9pIs2+MNiHWsUY/kXgKHkB7uVw5bXQbwmsL4O3ayHcG8IFgAJzsoPI9/8exwB45BHYWAzXXYWWcRb29BsgvQ2izYloWSsIV1VjbB+N8Y4X61yFbCfAj5OKyARxIhgbBCHlNMcWQoLS2F46FoC8zCWkrivBbdTi65ZEZGMB1S/nwWVOmaAMSoyuGnZXeOI9mDEdXglCnx4QtsH1DfZcLOS4u2w74WCALr0GAfxPlf7tG+qf9uVMOzcrI/zVzC+tG266Rf/7ny7wXjbhdNC8gTc/mKzddOMme/DQEdLjiVOaphEXH4euaUITaHFeN+PHn7DfM2JZh6/7jSmbWI46JjGFtKeiUsyZOVncdPEw8AWPuIHMd5Low6XFe8CWWM1+DLerJUckNIEKRvaPPggcgFtGCuVlVdzyh6esRpUWefHFJ+nQsbMb0CzLOih9Antr92Pe9rnnnG3Mmbsg+MYnC4y7u7czhGkgLXu/e5XRRkGHOs9Ml0GkZA9/veMS7fSL79Xu/UvEuv2OPwUSEpISAC3m0cde+3r5KSkp3wnXEUsTxCiIq6qrTcPUbd3roXf3Dqxau5mRw/px1vgh3P/4eyQleRncpyNxXhdCCHZV1NKxMJu4BC92IIRm6CAEcxYXc++TH8jczEQVFJaOP8S6zRX4AmG6dS6iX49CNWzoMZZy55o1Vbsp7NCd/sccR1Z+J/r06kJSZmdmzJTMSpasnuXnxM7d8Yc28PFXm2V2RrzavHkrG7c8ov3xtgvp0yaLrKw0iK7DDxVj38iNclIeti3RvS5IjHNyCFqUFzqW/w6GodFHOGThijMISVfkoX98FJq9bIfr0UceNYYPH0YkIrnlHMnOj118+claxMdvwbNvYLuT0Z5SyLsE6iOwTnTOOKSBssPAzbh4FZ2bGGpMZo19KtvtSmCuc8CX9IdEHW26wn2O5O9/6cSpFbs5pqBqv/sSmsb6r7fTt0cRYX8Q0zT4zU1n89n7s5i3dAP+YBhou3cefvBMfg+JAQM93njGnnQBc6e9j5SSbr2HRJtIfL8ObbFDf8eWdfj9TfQbcqzz0BxlEJRSDpbjmenwTAWQF30jBANKYHgOtMv9cQ2AlioAK2pNHvg7+66sDWjgOxdufw8W/sH588DJcNOLEL7H+X/kStC27vO9SAT+8TgUtcPe3IxW8QyyuhhVdAqR/DcQe17E4ia05r9hfiSxLtaxc0CUg1YLoiKaYYiazarFEHAYLsorB1LOQLKtjaSnryWQ3UzCtFLCMpnyi7ugUjQsGzQkrrMFX28QXDQJ3nJBj05OOsD8Fn1eV7OHcCRMXHwSUloI8bNs+aMuUkp0Xeezz79QU6fPlLu2rbET4lwRzWpIOnZ4D/74h/Md5KRteY8/uQ/33f2c8dUnz9nZma1k2LLRDTfBiNRCESVrG0L2xk1bNc0wRMf2RfZx48ZqxoEw8ENIzAiIhRWFAE3T1aYtmxv8TbuSh47ui13fhG5oRzXuIqVE6DrC0NlSXEJcnEfl9usqKNtNc6MfAH8gRGZuOpHmgOM9C6EiEVsQ56ayqoE//OEpO+zOCU1683UzLj7JFQgEcLlch1T+QMvfU1NTsSxLhUIhccNvr7FuvP5K7f13pnPe5aci65scI8DQwZZoCV6nU1b4YGNK4Hiimqnz0B2XG/94+n3j+mu3+idOvDh0/PjxtqZpCeAYYg0N9aSnZ6BpGgkJCcTy6t9VYriA7KxsPG6vvW1LmV7UOovqmgZAcMrJg1m3uZR/vfQFb38yn3DE4uYrT2bMkO5079Me6QuiRxWnbdtU1zbSr08v++RTT9PnLi0JlpXvjEyeMi3x/FMH896ni2Rts2UNGX2me8KZ5+i64YmOQnHCCSewY/t6klHU+iXGaQbN9WV8+sjboqBPb9HcUK+tqtitxo4ZGSwv3y3vuP3Z+Hefv51sTTgsot/r7g8jAmzLUfxGejKVa3eo+Z/OE8FgQAQCERW2bGkamrBtS+vSoZDhI/viyk6HJhW88763IotW7/C+/OJzRruitliWhRQ6XdMt/jwaq3jCX/RyK1Fog7ugCYUMKvirwPaDqAfcoNwgIi4kAQq4mHre48SITrzRjirVjmblQohymGZhX2pgvwPaCDBHKjb4Exlk1TrdDVWUktllMGnaUq656DhcLhMlJVZVPSdPGM6uLeXc98S7jD3t6pbb/9lOQyGcRkEul5vRJ57Hgq8+ZeXimXTrMxS3x/udwXox5b+rdCtlJZvo0W843riEFqv5aElM6cxdC3M9YF7vkNlInMlc+h9YvBna5/KNfaKPlhy0gNHSQvEF6DaoDLCHARJCvWHRdrjsKXjpt3DVeNhYD/+YApwAdr7zahHThA4d4IknYUs9rhtSCI4FghLV52KQFtqeGtgF0geuTyHcB7TVwDYnxWDFUIdREQhQepQ4SSKAit2dqCjuRNwZe2gtFuKdV0VcUyXN5yRR1aYLlstDGDA7S9adANdN1ngpATrkHR4YqGkawYCjDLJyoiGOo0aX+PNKLMy9du3X4Tv+9HutZ4cM7vzdWa6yst2u/r06Im2bcH0zWmxiFNz90G/AF9RJjtcJhqEpQNAXxheMqB1l9fLVtz8WjQ3NLJzhsefNmU1uQSEej1clJSVQV9egBQIBhBAkJsarM08/1U5MTNS27ygx2ha2OTBc3lSzY6mKhG0Nj0vZCqEfxSPbtiW6xwUeF59NmqdeeudL0akoWxQtW8uOdSWyrt4nqmpqRXxCAk/+7RqSinKgth5CIWGmeCExkX/d+4Iqb/ZE3n7r3664+CQzEong9R66sY5t2+iaxqLFi1FKKSmlSElJEd26dUPT9Pj4lKzwoy98IRVo5088AWybUKMfV6KXtSs2kZGWSE522iG7Xem6hu0P0qNPOx6/72r+/dpnaS/++4Hwxx9/HDzz7HMCY8cei2EYXtM0WVdcHFq6dKXW2NSstUpL0s8443Tc7m/u5nc4MQydwUOO8b/63izXPbecS2HrHMpKd5OTm8mfbj0PQ9dJS47jkec+5awTh5DbJgurOdjiNSvprMHIwV3U/c/N5o477gzZEZ+Y9vl74d1l262FqyvElVdezpXXXEe/fv31sKUgmlZRCrZs2cL2rZtJzRnC5honhakl5tBp2NUMGeSmrrqZQQP7ifPPO9d+//13G754/7n49oO6KmrrhZLSiU4eDTIpAcqS6CkJbC8uYcZbM6gs3yM276wLh0RSMCkl26MZ8RrYBAI+OWvlcnvOko0iPSuFraWEN+xo9H749stGq6w8kBGE0BBWGAwP22c8b6vd08gfd49RtrY9WALaCgdffS6IR3EY+VKcun83XjpTQQNu+iuDDNtmi65Yai1B0B99t0mkDPQSUDZYOYI5s9K5vN12EAoVVTbKlviDIZLiPSD28jfY9c3k5mdw/oThVO57Hn9bFcCPLTFvX0nJ0vlTQQg6detPcmrGEVcIxNIG9bVVLJ4/mU5d+1PYruuPUmEQMwAu+xe83B/EEBylSzTSXgJDlsErI6FtTrT5zY9YBfDuCrh0DwSOpYUVC8DsAWSDkQzhy8E+0fm7ANRr8GQqXHMsuD0w+H5YdhnY2Th6ct8ps22wbITLhf5SGDFJR7bTsfOAUDOiQkef40WtAc0NKhQF5bb82KHHv+9bGhKjlSJ8hg4dwKgLUbRuNkbrMM0XJ6N0ncZW+TTktXa+MAfO2ij5xzmCnASBfkAToZjRt23TGqordzHgmHEITf+fqf2P5aj//tADdR+991ryovlPaYRCgFD4g85NHgCUCEcsR+HYEk1o6LpwSGw0AW4D0pIBwaa5q3hn0ly1p6bRDltKRpRLeE2pNTU1o2kalbVNqn2XAZY3IUVvqKsysvLaqrat81X/vj0juytr5fQpn4ZTtT0p7du35szTjkGEInt55n9gFYCMetWB5iD/ffVz1m7aSVFR23C9X/NtLal3NwWC7uamJg1No6xkuzymdwGjjx1Ivy5dwr16dAsXb9lifvzRF+6vlm2Xt935IGNGjzIjkch+iPkDREXCYWG6XKEbfvcbNXvOHPcjjz4mhgwezLJly7j11lvp3q1rqKB168ia5XOMIT1zPb+9egIJ2elg6Nz9x2cY3KcDJx434PDAFSGwLdvxrAuy1NwPZ4vPpy9kS1lzoG3nAVabtp08fl+Tvv7rJUE9VGm0LsjS7vnH2/qOkhKRn5e3H6Xwd5EZM76s/v1vr8hY9sXDWJbNzLlLOen44dgRCz03HWoa+fMDr3PxGSPp2C4nijdXjhlt6BAfR13pbk6/+nF7xLGnNZ16/LAUb5wXf8gOhyxT79d/gO71uHHKhBygYLM/SEKcp2UMy4thyGSwbwZZDLethYfO2TvGDz74IPzG6y8HXVZVUv9enZRl2+KGy8bjdpvfqT/D4cSWEi3ey/JlG9X7n8wW20vrI3379vFPvPAi8jsMsIBk9vpYcvGSJdaHkz4XkWCQ1nkJ5o2/uZyQkcdX2yS9syU5SQaA/fa7H6lP3n1Br9y1PewvOF/vOPgKY1ObXBYng2wGTgGeARYBPcF8XpG8WXE1dczkfB7iJXqRxyQNblN3Ualao+sXIxLciLESa6wG14PxV5sFJ86ib1YdIhqWXrRsI/WNPsYN7xXlcth7AEul0BLieG+G4xidffbZP18EICax6gChaQwcPp41y+fy9fJ5dOjWh6ycNti2hf4NXP0xA6KpoY6l86fStl13Ctt1/dbvfR+RylH+jSGoagVaMqBA6oAGtgV6e5j7CWwqcQyAH8u6itWZzl4KVi9aiCLEl6BXASMg0hVkLWivgqhyqCWVDqIb3DgZytOgs4JEF+g7wc49xA/pOkTBSdblLowgUAyskA4DUUewzgXDBLk8Sk4Vu+kDbt4FZOtQpSAg94byJBp2FXinK8LpEivRzaYex6FtgtzPVhN/QgmuLU0k795JMCmFmqHdmNSo0Xc23H6qJBgBj7m3pjGWN/X7mlBKoukG0rYRP0K56c8hsTbbp004I+6N11+X//jbK+L3100Qtm0LLUbYcoBSiFHw6qbzTCjleHJKggpb2A3OodCxcyF3PdRdYOoGtU00VDWQ3DoKwhKC6o07efntqcbuyu0c072TWr5qNnPWhtRXU7zSjliitqYqxVaauvGaU4UOWFKC+OEpOCUdCtfKXdU8/M8PWLe12nfdVRPtU885XTT6EiJJSSlmZeUeva6ujpzsHDV33jw1f+ESMWNhmXr380/seO+0cGNDo7ZhyyZ1w/XXacOGHnPYfH/sJ23bFqbLFd68cb1v2bKlcWvWrEUpKRMTE7Uvv/yS7OxsNe6449znT7xQlZdsDk288FLKdr3oGT68N8eP7sfFZ45E07WW8qtDHgbKaSGslCKytUwMH9mL4acOU3M/nuudOW8V25avt3QddVz/dnEXXHwJK5dtpNIXH2jTunVLyCJWIRCb4xgo8JukT5++iZV1fqlpmuZ2CWxLRqukBOHyaoLBMMkJcaSlJ7akMoXHjdA0fNV1lBRvRdqSGy4ZrU+aMj3l8a3bQg8+9Hd3t4J8V3T2WFcaoWyXSYXPh7nnM04bPxTb40TjIuEwlnA7DHkCpKWo2B0BdErLKvjwg/d54oknTVRYDwcDTJuzVvzx+gnEZaU6xpQ/9E23d0RiWzZ6Ror675tTqW7Sgu9+8EYoZKdHLMxkwLQsKxpZFoDQBg0c6Bo0cCAAa3bDa7NgsZS8NQk+us2gomS19cn/4+6sw+Sosr//uSXdPe4+ycxEJjZxI24kRCDB3V2WRRb2h7vD4ru4s8EdAgSIECPuHqITG/e2qrrvH7d6JIIHsu95nmRmuktuVd26x77nez75Ojzj63f1f993tjHrhy3GbffeI3vGLpf3j3iGldvTRMleyRsvC7aeDKwEdgNCUI+FQwoeEtnAIjLIpLdTxSStPTO0bH50NKhG/ZsskQMEnAH/+G93pp07E4GD8Jp8OX0p/7xsEoap7xcl0YQgVFVLcw/vLzcAwAXJuLOsW+8hbFq3jJVLZhPqEqBVfoeDKnPl+Ws01NWwbOEMsnILKGxE/P/xlyZQIWcciHHAsVzP0wWXa5pSuO2TISetaZ9DIY5Uj/GTZRA+AfUkvwTzCZV6sHxAMUgPyDjga5eDwgCZCHoneOhdYBuIS4AjUMDBgzUWEho4YF0OLAd+0KDaQcwXiDYC63QwbNBXKm4EmpWORqahT0BfA7basElAtesUCcARYO8RmN/pMFTipDnI1hrFG7rDUd2JGbCXnJkLMAMNROk1BIKwdksrqmQrEl0HLlIGFzEIbcsiv20Xd/j/f4T/Qb0vlmXRsWNHb2xcXPj6e9/giF4dGNi/o+IRP4jZ2VwJq1/dOmJdNOV2/QGcOj8SiaHrJMRHYZWUNR4yNS2e626/UFnC/qA4J+pEEdq6W5s6c4mRk5VKfn42730yS1z+f8/x+P0Xk5SVAoEQ4foAmu40NmKJiOMiqwXioGBBKQHToKKyXj723Jfh9bslL77yqp2QmmdV1suEpPjoOID09AzS0zMAxIQJE4wJEyZgWWFef+212MVLlsSOHjWMLl260KFjp8byuZ8yTHRdd76Y8nXo6cfujh7WI9PXUJMf3rx5uwZw8cUXk5eXFylf8hneOM9pp54aeuo/zwV2ldXry5asM085dhg9hveE6jrs+gB6BLBygMcjhMDjMbFr/djV9WLIyF4MmTgYdE0Vhdc2IB2Hux97z45L62Q/98IroXZt2zi9evUgKTHBt2/VgmVZjZFRXd8/+hUXF+dNSUoMWbbjMXRBx8J8NmzcRsfCfExDpyoQpq7eT3qkB4JlU7x1J5WV1QSDIaywTXRMFMcfN4rjjx0lr77lVe30M88Jn3fOWcbEY8aL3SKdy6frbMyEksdfpXVMkNhWaUwcHKYhrBHt85IWL8Hjjsux8Pl0tvy4nPMuvpGczBRyc1vJcEO5zErLATQ5aUxfpnwyRyTGRzOwd4em+/gbF1lN06C2gXFDuov3Zu4Mr9wQ8HQtiknwInEcR0aaN0UkELLRsHl/IVyxSlAldOjqIAZLXnjjc/L3PCuLy6o8T91+pt55cA+ee/VrvToowsTkOj3yHG1YDzXg4jvg1VKQ5wAvglMNfjSWIBnMeL7nc3oynD2UEe1sp4dnPDsck4AAbY5AngvaIxLrTZ3vO6Ryy0dduP/k5YT8fkyPgRlhTdtnnjmOxJMcj6IcVHJYGABAI1pOSkm7jj3wRUWzZvl8wqFQYw1/80muJjeEQ0HWrVpIdHQMRT0Hqe5+hwjpLQSELYiPgjYBoLoJICrdXLQ1H87Jh/ZutPpQ6h1HQlJr2BkFvAB8Ck4fsJYCXwBhNy2RCdZQZQygA5vAme0+/K6q5TPLge77nECiwA2RlgkaykjoHtlWw/kvaFNAqwNrEnhXKE4O5P7rXAOwwoIjgeMEPG9AvQPlDggJoQbwLAGPJQiO0HGyQKt3MB6Q1N+RwYbRxyBCkuyNS/Al72FdTQ3v/XczRw1MJCO3C15PxLuVFG/bQH1dDZk5+f9fUv9qmoZj2/Tp2y+8YsVyo7K61g0D8rvCTrqmNWIqpATHsjGavXdOyMLeWYpEgaQdKfF4TY4+YYQLdpOcfcIwlq/ZypQp84lLjKFdqww6D+wMDsTWNagac1v1ftbjohWVZsjGafC7AFvRgojGcRz0uFgWfrdILvmxwXrx+WeMnFat45t9L92oiIg86whq3uPxcP4FF8rzL2g8nFDXtn+UJCJuZEDM/H629d+XHvON6tvKuO72C+n10lQ+nTuHY44eR15eHiUlJdi2TWpqKiV792jtO3TyPf74Y4GsJD3w8cef1d/y0OT44TOXaBecPZ6kjCSC5TUYho5u7O+dNd5/XVOpmup6nMraZjpOYHh0HrzxTN5477uYFbPeDs+bZjgfJbcSrfLa2YbpRTdMqQnBSSdMlFlZWS3yGuFwGMMwGt8DwzCIT0wVNz/4No/ccTatczL55Kvv6dRJ9cpISY7FNE1qS8rZ8uMO1ZvAdggEgmRlpJBXWABSYtf70b2mePyhC81Hn/wkOHvq2/aMGTOF6HaGNqe+QLDh3+gsZvspL3H1zGo2bq9n7Sc30/vI06k0j8bca2FjQG0xpYvnU9ozlarKMtJTEti9dy8ep5oxg9sxa/5a8cKbU0hKSqK23s+OXeWceOpInOp6zP1oi9Vdayovb0oTN18GDEPHKqsWE046kq/mPBUzY+YMunRuJy3LEh6PZ78FQ9N0PIbO6jVQ1Q/MnuAQQh/g47/Hv86wstbmjC9vg9B2gkGLnXvK5fHHnxT+95OPewBRG5B4DYEnB/WODgD2gJyhnnAZ0I6BrOAz6qiikDzeYxcF1hq6a4OZLzWEJSFTQ9RLuBX0eyQPvNqR6I+gd9RrjBlSpEL/+1SlSinRojxM+2oB6F2a7sEBZ+FfKBFkcW5eIV5vNEvnTyMcCtKhqA/Q9HClGwPfumk1AX8DfQaOUR7gIc71RhbHhohiBOXthkHzAbugZzfwmr8//y/hgP0XbKcJi+A4QAzwX2A0WJXAt2o8QnNz8XtAe9f9PQoIg9RUlEAYIGaBHAmMBKMnWB1otGx0dy5JG2U8qI4WiBBoK0CeAU4u6JNBX2oj4wRUa2gCUtxxlzqu7SBhkwMTPDAprEon39ZUmWvQDTOGwuBZAV4bgiPBaadhhcD3qCR8vYNdpLOzS2/oAiUzdjFnylIGdwuzbsU8HNsiLTOX3Lz2mKaH2LhEbNtSjFzNFr//H0TXhQRNXHnZpVXvvD3Zu2r9dn30sB5KwfxB1xmhT20ukdayzUXaDnZFdWPqRdcEt111Ij9uL2XDj8UsrKhnxYZtpKUkYApBWko8eko8lFosW7SO8spacjKT6di9XWNXNicQojkjndQ0KqtryMnO8bRq1drwN9TLqOgYpJRCc0MHzRV65HcpJZZlNRoGkfK5nwqRR8orX3n1Da0gy8N1d19KcFcJR04YoH8x6wXnhwWL5Qk5OULTtMb1qHv3HhEl42sIhPVb+4ys/c+TD9fMmjHV3PHgGzFnn3IkvXt3xPEHCIctdE2NIbJ/pGV15NFFDIGWNxraF2brdz1yOdTUe1YsXu/5Yck6dhTPsgMBW+qGLusbQty6ZI5s17G7bZheGRPt0y847yzh8Xgbry0SEbjwoov0Cy64QN521XEiPj+Tju1aEQoGkI7gwy/nYoX8bN60nUAgRFSUj6KObTESYiBs4dT7G8fphMIgJddePsF7/e1vOF9+NUVu/HI60WfdgH/LRpyew9EmJbNlTR3XfbgXlizkpeo4uPAYvIMcwoAwo4mJj6VHr2HcdtvtnHDcJMaOHSsGDhoiqipKw5deNrRec0L6ji0bYhat3Kz5A2FOufwkwhW1bvtble+2bQfD5VgPB0NNHAoe1dq5uTPg2A6aR3UD3L1rF+mVlVLTNO3n1gnLRrVKd2zECo3Qmvn4jFpmdrmMKz/L4MbOW8juZlBZVW3d9I8LPYDuOA4eQ8NjQGU1yGh1DI4D8RKwWWMXFvUUUk49NkFS8NGVYQxyWmN5YVXYTZ3OA3ukQP9O4kwWGOda3Da5I31fLmX2M0XopuaGYZtEaBrbNu/i+/lr6DLwMDYAwDUCHIe0zFz6DRnLwjnfYFlhVSYoROMk3l28hZ3bN9Gtz1A8Xm9jk59DJY5UjWl2lMOyOCDTDV+rNDnBPcBuiFJpot+V/3dcZ04TSuE7roKULg4h2gMVDtSWA68DccA80NeoaIQj1E9Q+9kCpcn9zU4SAjlfXQcxoD0Pog/wkLvfXrBnARNB9yiMQyQaoDdA3gewYyPYZ4LdCvQHdZxs0GodNKnRRkCUBjMi40BNuKkOdNLh1BBUGVCsQantAqUjRsAq8IQgNBqcDmAvF5hv6MjbJNKQaIbE3zmbxcFsyjyQaS5j756dsLeY7VvWUVGyiy49B6tUkKuvHMdWCu0PABAdDiKlxArXUFfnx5YSb2IsaoWp22e7Q8tHIYRoESXQTIOMrBQyCrIYOLo321Zs5tNvFmIKnc079oC0KfNLyvaUs2HrHvr0aMfq9dvZuHk3UVFeCguyaV2YA6Gwwic4DrqAxIRYx3LKbMAwPF4ROffPje0nQH4/KX5/QLOMENT7kXUBkjrlaaZscKqqax0hhJ6amtq4baQKSUpJtM80geRL/nZ93blnnRa+54GHq+57/L3YQX3bG9defiJaTrKkolqE6/yYHlPhAGJ9yDq/6tz2E7wJjj+IVefHMHS69epItyE9FL2gJhRgNxBm8iufsXLdTCscdmRFgwjPX7BI69mjO5ddcr7h8Xgb+2Ece+wkbdHChc7tT35m5WcnaqV7d2lDSytEvd/hk68XcsPfJpGalEBOu9ZKoQSDOLX1rgHVPJ0kwDTYsHorz7z6mTaoTyE/zt8mG+Z9Cw9dBf2GIk0PWlYA7Zh6xJU/QEMV4dYQxHTTUBkk5x2Nx4Cirj256aabmDBhghg4cKAOyHXrNzg3/N/1Yu6cOZSWlTunThwkNi5dI9pnpUBcNLKiGqFpGGmJNBSX4NiS2LbZas2rqqW6vJaEuCikLggHLYUN8ppoCJ66/3Vn064G56Le3bWfnFPux60KIHYD1HUFgh64+BmCEzPw3tCBpz/M5aJ21cx48AHyOhyhFbTJ16SUQogmU7rWbaaGi9ETScru3eNIFuNg4yWMHy+wi82YjKSnpdFJwGJHQ84DuoEzGnhMYh0FnpNKWPhmdzZUxlMUHWo5ZxwHzTB4/f3vufC0Uczb1vTdYWkAgLJYHMchMTmdwaMmsWD21yxbOJMOXXoTFR1L6d6drF46h47d+pOcmnnIego0F1uCKWDqEliaCuSp5+ipgdAC6FIKp/eHjnmu5/4bvf/mXv+eKshMbAnM/2ETbNwEc9fC3jXAGyivvNL18lHwVROI0mGH7dL7H2xdCQHpoKdBeAzqoixI/AYuqIUXPoPqNDCGNqU8vFVwTHfIT4SrnwfPWWFCY9Yj5qehRWdg14XYbJt43ZNGjKGwhPU2bDQUKPB0Gxo0eFmDKkcRWzm4DYDWue0GjoNwOxAbQPtIYJ0lcEIg0iWrvA5fz9K556IetO/Ug6C/gamfvUlVZRlS2iydPx2P10t+uyJiYhujxv/zxoBjS6HpGq+99mbicWP7aO1aZzL1y/nYtsORg7uqd8H1LnVDawy5q1r9Q4+HcEIWMhRGSkleQQZXXnMS2A5L5q7koy/n4m8I4jENJo3uS68h3SjbXsLb78/gm9kr6d+zPYUFWYwYWERKSjyexFgIhNhb7mfdmjVy+vRpjBgxkp9B8P9midyfI0cNC339yava2iXrzfbd28videuF39KttNQUA1SqIOJNR/aJkJlJKaWuabFaTBb3PfhE1WsvPx986+23A8W7n49q1z5HH3VEVzoM6o69swRd11k8byW9+3YG28YJKgKjA81LTdPwuIaGXd+AU1uv0m0SPB4dieCUSSM4/e9tDLW8N9jPP/iKs+SHT7h4yRLrun9cpRUVFWlC6CQnp3DXnbeKO26/me8W7JCpqWnyiZe+FA/eci5pqYn0OKIH1PvVOVyMxoHnjrLaCzvn8d+nr+bkSx+VmVm5jggG9O0vfo4sqYBN23C2b8dJToaT0qFbN0RDCGkoNjuZDp9JwTHzNEYNaMW9qn1wxLAyVixbmrxxwyYuv+Jv1NbWOjNnTLMvvvRhrVvnPK1r57ace9IwNAceu+9NqmsbKOrQmuB3i8C22FFcxlfTF3HOSUdywd9OwKMLFR7VDO674Sn5/coq56F/Pc2Ro4ZrAAdjjDU05aScOBRWvmPx6gqD8AePwrhkxMuPEvZBbFwdjz/9OmW7tzY8+NRkb5v8PLFvCjIkGu+aWk/dxdEE4tCIxkcNNSxgNRYhwkja2hbZpmSJozVGY+Vm4CiJSDGwX/6YmNGj2GWVU2SXNBorjpRocdG8/PKX9O5aQG7rDNgWbrqmn3sZ/kqJoJ2jomMZcuRxLPnhO9Ysm0dCchq7i7fQuk0ncvPa/ynKH1yPWoM9JVDXCkXPCPADnLkBLhsBkejKb+2fYKuSWWo1ePFjmGtDfx8k25CQAHXl8EwAlkYB6UA80ACiQYH/EgCPhOOBXsAmHd4HtvwUfa4PtHLQ4lAJegCPsnIfvgt6zIS3VsMXe4BWQAVY82DiBTCiAOo/g1ueqkGf93fs3Z2wjX8CeZRCo+ZvHg3RJeyR8KMGGQ5caKueHq8CtW66wAHCDojNYEyH0EQIJYI5A7R+IAtASAHxOpt1qPQ7ROsOusdL5279saVNWkYuFaV7qA+HWLdyAUIIYmITaNO+CNPbVI7kOIqY6I9qEf1niBCCYDAQnDvvB9+EYR2Ex2Owt6SKb+esYtyoXpAYp1Yr24a6BvTEWBWm8gcVo9khFhc5DbhVBoEaNK9J+4IsJozszhHHjIL6erAUUUlqVjLnnTISKSExMYZVG3awdPVWhvXvzJ6yKqJMQVJyZrhNfiv/Pffc62vVqjUFBQWHpMlRRAEcP+lo7ZFHnxSfT53P9cN7s/27RWieOCcrM8MBDjJfRIT9TwDS59EEkHjO+RdbY8dN8D/9zPPhOctW18+a9543+40vTEd4LCtsi/LqgNXmq/lR99xwJlpcNARCWGEL6fau2DfPLYRAF6IFXmNvRYN88Km35byFqxkxpKcT7fOAtMWQ/kXmxf84jYfvfNm+4YYbrVde/I9nV/EWkBKJEKOGDzF1XWfG7EXys9W75KffLkVKDen3i2B9AK9X4RBtl+5439SEcMOUqzfvYM6CdYTCYeFvqNY6FsVZ26YuNDyLphIaNwlGjYTXXoWN6+Htt5HRbsEAQB5snmhx0VuSyYmSIzqFwDYpq6jgmf/8h2nTpsnLr7iMK674m9i5s1gbNny4mPzfycEZyzbKz75bGlVd0wDS4f0v51NZXc+6jdtZsW5neMCgQf7KmkB0bEYX5/1v17F87SN6x47tnEBDvVi5coPYWi556F//1vv26SUivRgOtgZoQq3PmVFw0zGS0unw0coajPxtiKmvK2D2J9/wyudvWh+8/zadCtvI5kDTRjC0qopspBWWQZXKTUIjE0hnAvOZwWCOxsRLBunU4uqayNDiUVUE9wHr50HNNuprL8LQZisvyjUKNY/Jwjmrqaqp4/xzjlK9DprJYW0AAG5YTZVi9Bk4mlVL5vDhG09yxPCjKezSm3AogOnx/fyB/kCpD4MwleVmuCHrfv2U8rdcmuBfw34qpZpYUiorUzfgyTfgLgvoBp/uAYIQU6vWTIYAbVwL8nuIdPVrLWE4ClvSA0X4uNGCBi98EVLo+wNKCIw9ED4PsMDcBMZuyE1VRs8Zw2BID3j9EwjUKQreuB5K+Vs23HQMEIzi5rf7IkoeQcYWg5iIkOOAbLd6WN0QgYoCzLKhrw6THDUJL7AhYMBbQJ3TZB2HAmAsBz0R7OEgV4LxLoRuBeGAbA/f7IYPv4cLjjL4cdN6ykp20a2PIoLqM2gMANu3rGPvru3U19Wyetk8bMcmNi6RNoVdMT1NhCr/C8ZApGy2vr6+TuAkllfVcdxxQ6mrqGbxqs08/8Y3pKclYNk2qUnx/Lh1NzmZydTWB+jSvhUd2uWg/4kNelQeVt1PfyBEdU0Ddnm14gHQNQxDR9Y24DENTjt2EHGx0TT4A3w7ayXR0QqtH5cQx+gj+9uri53QF1O+BJDiED2gSJVFTFyc2b2ok/3RVwvsC84er2flZOBvCHjqG+p+qcUh3CShdByMjKycuLvvutMOhwOhD97/kKUr1tIqN4e6+gY5oWsH/v2fZ2pveeCtmL9feowWZ5pEZSVDtA+CYWRZFW7OY7+TOI6D5vPw4LNTwlZMe33k0b2ERMOOisHni5E3Pfl24Pzt5eb1V07SXx9+vbN9y3r3mRjktemIpcVTWVnBS69eLWqqq3jr86UyNdHjhAIh3dcqXVJepQLY0aZa2Or8+49DE2zfsptPv13E2ScOpXV2mli0dA2xwXLq9sbgKV1GaI4Fy1eqRe7uuyEvDwIByMqCtu3QOndiy3Fw5TsONw7RGDIUnn7yCe6+514effQxkZGRyd13301SUhLnnHOOGD5sqPHPf14X/vj99c6CZZvoUZSvJSXEsnVHKVt31oRvuf2OwMRJJ1JeWSUK8vOZPWeufPu9j1i5w2JncQmansf9D16t9e3TS0RAkj8nulD4q7wUk7v7QLl2B9+/+CbcMRcS06muLuKa257miAGDo23HOSBfgbFPbli49ng8Oqk4HMlpnM14EsmgG/2YzHMIstnlSKS0wfbBCkfVU0/xI+cL7IxTGeAtpW18LZE4rSMlDVV1fPbtIm7823E4/qBrmDcN4LA3AJQoYGA4FEA6Dj36j8Dri2LtygV06tqvscnLb6EP/jUSAVYGpSrdMIUqBTR8sKsKGgLqff211EpCKEMCYG8IPvoUnioDcU1T6N9BFW804g7rAR/oQTfnL6ELcBbqZz1QBuQ6cHQISk3YZh8ElxAGOxZEBaBD1NcQtxjSuikmPxNonQC3nA17g7B4OZhZ8PUiOFJhM7npxGhqxX08cG82+poPseWDSDHCvRlNBgDuXwHZVGAQBmKligToGrwvoNyl/JQC7HrQFoBWCHYiyD0gtivwoRYHZQmwdDnIo6C2poqwFSIqOhbbthrLAlsXdKR1QUcAtmxcTXnpLhrqa1m9bC62bRMVFUtBYRFR0U00q4riVjXdPBzLCC0rZIXDYY45sg9WfQDHlhx7VD/2lFQhHYfKmno0IUhNTmhEQn/41Xxuue5UZbX+BRIJI+u6htC1ZqFzgenRSU1PAsfBG+3lpLPGQNhisMcEJwwBqVnBOm+XLkW0a9fukDT4iowFwOPxccvNNzBm3DHyvQ+mk5vbyo5PztBysrK0X1dZoglNA9u2JaCbpi/+1NNOZ+y4ShITkzyRrQYMHFA/fMRoa+W6x0VeXq7WoSCbmppqPSsjhXNPU6E5adktIouqE6SD8JhMmbbQWbf+R9e/RLOCNVSW7SHWqLbuffw5+f7H31nFO3dpBe2LSE7NbDxGn5R0GhrqeeXll3juuWep2L1F7CxD/vOu1+3CNun6eSePkRJHbF23jWAoTK/eHXACoaZKDSmxHYch/Tsx75N70TWB1+Phh8VrjdJqP69O0/niWz8cVw9nToQnXoXbblP75uVBQwOkpOLcew9GvwEsOj2L89d6uPmDMMMG9aTgtTc47+wzWb9+PcXFxbRu3ZrrrrsO0zSNWbPmGt7YdKeoe29n8eK54svpSxxAdOvZTx57wum+2JhoMz4hEUAfPGgggwcNJBQK6PV19SQlq5atlmX9qlSSqasUZZd8eCxkM+2WM3EqjsYbFYcTq3NZfwwfB8fe7Hsm6TZzsySUYBGDhzAhQgQZzUiu5j2+5x6wb0VoqchALYR9CI+AxQbnFXbiiFQY3HkZeQl1IDUcR6JHe3nmuU84bmw/oqJ8TaCwZnLYGwBSrVxI4Mf1K6go38uYiWdRureYZQtnEg6F6NZ7MCAOec9zQ1MR1ZMGwYwvYUkmRPeAhjXQo7tS/hGGvl8j1Q5MmQnllbCwVmH6OE+9xZbSQeqN1iIlLSjkv6WsybC7BvqBbPUxsaiHGwCOsOH1n1onQ+q6fFPAPh4CI8DpAQsDcNWbMKoAThikNr3g3zC3DUgLomw4YzVcfhwUxMPVY3UeXHgVoveRiI/3IMsKXC3e9EwkqvR3oA5dbQU/0FHYhUxHpS7mmlBmN30uhTJ49G0Q7gGyGPTFYLWmMa8dl6whnFpsyyK3dTsAhNCaocEdt/RLp6B9Fwraq1zNlk2rqSzbQygUYN3KRUhpY5oecvMKSUrNaHGbDrfogNfweDwej+jQNhvDYxJv6Awf3UcBAR1HtRsNWxAXoyZN2OL8Kx5j7ZotdCpsdUB62r9UJMiwy5tvO9hlVWhCIxy2EZqNJ6eNlpGWxOKVG/D7/fh8vkNW4hlpqdute3f96aeekFM+esO+9+mPnCuvvVkvLGyvhvsrLX1d14Vbnii3bdsm5s6dy9ixY/H7/SQmJuLzxcZkpKc6XfseYU/58is+nrqK8RMm+L+dt8BIjI8xx4zohaFrCJc7Qdc0dNPA9HnBgeTEBLF04RyscIMiTtKU43TM0cf42rTvytoN26wjj7NEcmpmk3HrErFFR8dw/PHH06tXL5575imscFibMXuBXd7grdu2442ELTsr2bh5DzX1flbNeEJx+7k4E8t2MGN8xMZEUV1SSWx0FFpiLMNOHAnllZx4SlseXtqVJ7OgpDYoQ/PnCgZNRKQkIXv1gGUrED/MR17/T6yOHdH75VNtdufldhdxxuATGBULdfV+2rdvT4cOHZBSsm3bNl577VXKysoYOXKEVl5viPlrKjnt1FOEZTt07NjBc8F553Ld9dfL3r17i+aheI/HhydZtcaVUv4iz39f8RgKnN2rUKdXoQUkut+oighHGgfVRfo+kVgtA/QY2FsH09E4C0kR3ckghyoauJnb2IbOSpEPjIFBwHAQc0HrBBf2n8mA3G0Q8CIt9Uy02CimfjWf/Fbp9OxdiNUQbGY4Nv122BsAuOHOXds3sbt4C72OGKUqBDJy6T9kHMsWzGDZgul06naE6iFgW2iHgAQIlAEQsOGIQngxAKfPgnXfw/EZMKjDr19Pw66X+58v4f4A1HqAXNBGNZUARlz+iB/dSNX7DBhlYAeavPogqivvGgO2SiiSkOLA1wbY+sFLxE2pvGppqWOHuinFXAc8MxXe3QYbi6ES+CIJmAiEoSoAj3wD69+Ffw6D/m0kMj4M13aB4i6wGihmvxOHgAQN2lhqzM0JK31AzL6DlI1ZDjBV6F/UuF8JkI5DlC4IVG2htrqCnn0HIPcxBoVoKrFqYQy060JBO2UM7Ny2kdKSXThSsm3zWrZsWoWUktSMXPLadGxR/hZZQP8Kg0DVudvExifEN4QcvIYhEQhpOzjV9Y3xFs0FktkVNUgpCQTDXHHuWF59dwZ3X3cqHs/h9/o3v4+GrmNbNt5YLyQl21M+nG19+NnUqFNOO5OoqChxqCIAQCNPgG3bnHjCcaJt27Zi+97r9BdefE6Li43m/AsuwOPx/GoDxJ2TIj09nVGjRpGcnExpaSler5eGhgYuueRS7bjjjtMGDuiH4zgcffQx2oxvv6j7x7VXxx87prdO60y1cGgCKuuoL69k87Zd2CEHv79Or6wsFYnx8Rgek4L2RcQlJAHQul03xk1Q6/2+HAiR0mvbtsnPz+f+B//Ff196VDv97PPo0DZf3nHHbdWfTH0+LiUpWrv96pPRwhZmTBRWyMLwmpjpcVRs3sWipRt59MXPKSzIIicrBX8gSHlFHcP7tcJXXELgs1TM1h2EEzMIEjzIi05HW76e8BWXoWV7oLYEOyENZ69Ay9jKhq4W1z28nQfOqaN1m26A4jOQUnLllVdimib33HMPI0aMBCnFWR++TW6r1mL6tGls376dYCjE3LlzRd++fVt0zoz00vitNMoR0TVlBNjScL1rAcLE1A4MAI84hq3SQK92q6oMENEgoiBUD+VSY64u6G8PZyofMYBBRJNFa+5hgbgWRC8YnAKzFWJaq3EwLItwTYxKPbse0brVW3j61S/5z30Xg+NgpLgAaClRK7uSw28FaCaRXGdl+V5WLplNjz7DSExOU5ab4xCfkMygEcewfNEsFsz+mk7d+pGano1thdGNPw4dHGk4M2czvLoAOmTB34fByzp8+h1cOQqyU399uZVEhZO+nQe1l4OWE7nuJoDIAXfygzEZRBaEt4EIqE1DwJsCVuswzYJTTWgl4Q1b4RZa6FXR7KcGMh/sMtBeAM6kkTRIGwPldXDjd0A0GKe4ho6BQhyeCJ9Nh92z4dRFAjPag50eQv5Ng5sMqFDjjZzcFNBHwHhLURL43UNJVOQiQcIoBzbrsDdSvYB7cbUoC8dGUWK6w5dSEJKCQIM6kSY01fnvIM1/DmgMCI2cvPbk5CnvrrxkN7t3bsaxLKrKSygv2YVth4mKjqV1QQfiE1NbHFNFB1TdvFAosAOe+48SKSW6YehpaVn+Jau3+IYN7IqmCXTRMtoiUUPRvR5ik+LQtu4h1m0UcrhLOGxhpiTgL6+RN978qLOl1DHPOvsC7xlnnPaTRD6/V5oz6FmWRX19PTlZ6SI3O1vWV9fVPvKvR6McxzEuvuSSFimMXyMxMTHExKje7Onp6QAkJCRw3HHHYVkWRx11FLpuYNuWd/iRE2Ra7jPha+55S2Znp0rLX2fW1Qc4aUJ/ZejqGsUVISs2LlEbOebYZtfRFLWKeLvAAcPdqmmMgeM4hEMhkhMT6NmjpwYk3nLbvbVvvfUO8bE+x3EszRvlo7SsmrQ2WdTvqeC++9/gi2lL8ZgGhqEx9fvlxER78QdCbCkuZf7yds6u0go701tvtzdHhj+atjuKuZUGc/zYnzxAzJsbqf8kETIHoF05FqdLX8R3U+D2f7AzugsiagJffzmFkOVwzDFHN4552LBhZGdnM2LECD799FM2bfqRmJhYJk+ezPDhwzn55JOZO3fuAa/1jzLYdS2Spv35uRjBTp47Hj77FtZnokqwnab08i4Ej0mboWY/frReYoeAJdJhkUxEk6cija+R606GkQaiP4TeMcgwgpiGDY7m6iCBDpw6aTCLlm9i/tKN4DKzeT0mxPZqHNNhawBEXsK6mkrmz/qSws69yMwtaIH4dxwH3TDpdcRI1q9axMrFs2jdpiNtO3R3aWH/mDbAEQPg+43w4ifQrgeM6QQDuqh/8OtD/xGw4OvfwYZeIGJBRnL0B3Nq3PIP7XmgK4TbgzYLsFyyHuArHdaFVUnd2yhswd7mIafIPI3MOAlWKsgsZYnqr4OogvD16jvbpfzXJzUp6UjfgYiIEbBoPSyeauHLqSVMEkyQiL2gPwDWFgWYlFIp/e4eqJew3IbOlsIr6O6xkyQc4cDHhqIKbsSr2yjDNWItNIJZJcQJNq4spaq6nsIuanL/0pz9gYwBIQQp6VmkpGcBEPT72b5lLQ0NtTiOw+b1K7EcRTCUmJRGfvsumKanxXEjBsGhixAIHMeRGenJzoatexjWv7Nq/yubb+H+jI2mrLiEj75agNAE5540HI9bf344SSSf7TiKH9/MTGb9sg3c/sC7dlRqB+ufN5wbNWjgIJez/o9t8d18DAAVFRW8+OKLjBs3jq5du3LxZVeHqflR++zLR7R773gteMNNt2kdCgu1UaNH/6aOo83Z6iLRJCnBsW1MT9Nc0nWDyrI9vuPGD7a+mz6bDdu3gOap65Dribr7yQ/1J+84n5zWmeTVI2597EOuvu4GKyUpyTn5xONkhw6FXiFc9fQL3wdN0zA9HgqL+rJ04Qy69xqCxIkr3l3KkUeOsR94/tvA3EVrfZnpqarBlBC8+PZ3/P288ZRV1tKjKB+vaVJbH+D7+aupb/Czs6Ta+r/rrw1W1TR4jj/2aDFmzCw2bAvSoctwpot1TL3mCt6e/QnPv9+Bz+YnodszcS67ErlxMw1HnsIHH5s8+/gDPPHkU5SWljJ58mQ6derEmDFj6NSpEwDdu3dnx44dVFVVUV9fzxdffMGQIUM4+eSTf9X1H0qxHdB0+H4R1AgQHjeC2RjehVIEZY7Dbi2Xneg8JdZQLoezFRvMMYiou+HIXfC3HBypkfehn0Qz3Piyq9oTSfuOebQvbMX2rXvYvGMvfn+wKarcTA5LAyCyCPsb6lg4+2vatO9Km8Ju+4F+IsQbQgg6FPUhJjaedasX0VBXS9fegwH+EFxAxHLrkwdHDYWju6v690gIf99udL9EbEc1YXt2BhSfCSLBfTg/dRwBVKpSuGC++7ullGQq0Nkdy1pLKdTyZlz7oCZbC4rITCAXZG9AgrYLGKwaAzVCxNxyciuynwB9E2hTgRpwYsC5SkIHgdD2EJwwAWIegPFj4WQb/Tkdq0RtC+CXMMWCjwX0FXC+Dt1spfwF6rwFEo634T+6wgI0phCa49Zci0cKCTGC4rIdVFVW0aNL7m9+5i2NAdm4SHujomjfuclqLtm9g9K9xTi2jd9fx8rFs5GOYhlLTssiv23n/cpSmwwC/iDDVKJputhZvNMz5KyJQvOYbqOKZlu4EbSlC9cxf8l60lITGD2kO/HJ8X8ZCPBA4kiJFbYxTR0jLRFiY6CugS/e/47n3pxh9Rl6nP+2W27wATIUCgmPx/Nzh/zNEgkVr1mzxn788cfF0qVLnezWbR1PeK92523n6Km+qphrLh8b+nba9+GZs3/wjBp9pPhVc82dV7IZyW/z/XVdp7qylG1b1hHy+xWORdc56qjxxsknn0xdfRBfTLIV5eytmHTiGWnb91SSk5dNYgL6jReNYmvxdlm5a724/ZYf5JFHjQ+dc/Y5HvNX3i9N02jdpiOfvv0sPfsOR9cNeeqpp4ji4p36s8/8O/zwvx73r920ypuRmqjN+GE1Zx4/lHufvobdi9ZRXddAbmaKW4vfirj4aL6btcZ46/3Pqa+t8RR26Oy99PKr2bN7B5lZrThl0rNcd81FFH90Ew+edh+7PrNY9tz9xPqj6HjpZE5stYXEGJ2jxo3jqKPGMG3aNJ5//nluvvlmFa0Ih/F4PBQVFVFUVIRt2zz00EOccsop9O/fn6FDhx4ysOivFVsqAOBbc2H3SSBSUOtYgMY1Tv3QKbZs4BamOy+gyS4IkY7UwsiOZ0LFa2jchrMKju+1kyiPvR/JiwwoD6l1QRatO7ZuUlAhi/emBxq3O+wMgIhCDwYDLF/0PYkp6RR26Y3jHPghNvE9O+TmFxIdm8DqZXNZ8sM0inoOxOP1/W5cQOT9HNIO8tOV8je1Xx/yj0iEUXDZTqjpBCKVg8Dzm+8EaGB8DVaamjzyO7Br1a5tgVMBwrDdgOlWU97cQY1TSJBDUEhBHwq3Eq2OyzYw90LoFgg3bzMeYa1yRVhgPAp2tbtfA5h1YF8Mdn4snH4sREcra6NcQBIwGOQXavuwA9tdnNd0Dbqa0N+GKtRkjFQEnOpAnQaTddjjnl+WADvdi3INA4mAMMRhERcX37jA/l5p7rU3B6IKIUjPakV6Viv1WByb4m2bqK0qB6CutoqlC6arRd5xSEhOI69tZ7zNeAfUMZ1m4/z1UQIhNMLhYGDarEWeqDtPVJN0HwPAPTTrN+1ECI0TThkFDQGF4D7UZYAHqsgRGkLo6l0UGgjVH14zNTytM6Csmskvf87ClRsdaQt7R2koNHLCWfLqq/7mQXVnk4dS+TeXkpJS+vXpHUo064htWGVcefUEo3V+FqGdVbTOTvS8/ez1gbuf+jw874cFngFH9D+I0SlbGJKg+OSbs8IBlJfsYse2DYRDQdAEpu7B8HiIio5F1w3Ss1s3ovZVRp+oyuoY+5JLLi+/89H/pDxw49kUdczj5HOOUmxApVX6h1/N4+rbbvNfeOFFv+n6BYLE5DT89TUYhkfYtsOCBQvw+4O+zz75uOGF/zxWFaxYlzy0fyeOHtOX0PY9ZOWkkmUoiHxsSjw5eRnMnreatCSflpsY8Kwtq7Ruu+0WvWePriIjI4tAMExiQgLX/vMebr31NlJyXqP8k2XYWWeRNfEUEis+Z5dRxT9vuonjJk0CoLCwkOeff54+ffooUiSPpzGKoqpLdHr37s0bb7yBYRhEavsPB4k88/RUEGkgVwIfghUDTrT6Ts0UDY0wDv2Q8hrsSLgzoEN0AVqn7mjXno8T+zhHHlWKYTqud9fsXBG642BIGQPuFNyXZfLwMgAivNi2xY9rl2JZYfoPGdcY8vspEUKRBiWnZtBvyDhWLZ3DvJlf0LlbP9IyW7kNPnR+S/IzsofPUJ3+oCm3+lskbCvv/5lPYH0/kIn7nOhAEjEA5kAgBhUCXwGWOzfSUXX/yVJ13Nskodhu0t26AfYoYDCY21GNjPYq8In0qfK68PWKdrfFheu0TEnUgVgH1nHuGMIglgrMR4BzE7HvuLPZ/hrSAHqjmhO5EnmSfqmIjnrp0NNWyl9D4QJiJRwjYYYBe9x32NoNrALaoCIKIQc8Gh7/DlJ8VZDeB9yyvz9SIjn9xkhKs0Vd03RaFzTdtHAoyK4dP1JXV4OQkqC/gVVLZiMdB0c6eH3RZLdqS1pGzn7zpxFY6E6ugxkFtq26Hj700EPWyeN7eaKjfAdU/qrLJrTNy6Ciup5wRQ2Grv1hyt9xZIT0Zp9vJFh16lKkS20rwUHHClbTUFOGtOpxQrUY0TFy955A8LF7/6uXl1WjRWc5HbqMNX1RUeLMfn20Pn16G1JK00VrH3LkQuRa8vNb69t3lTgnjOqvnXXV6Tp79uDU1OOJ9hLcW0GXId08oXv/Y61bv8kZcER/zXEc13s7gLJvNmrLCrNjy3rKS3cjHQehCQzDg+nx4PH40HSdlLRs0jJyWt7RZnNOSklSQmzs8adeKLdu311+08OTUz576QZCZTUIx0EgOP68CTz31gK5cNEi+vbp86vvg24YFPUayOqlc2hXNJD33nuPxMRErrjiCn74YV70+GNPkReedZw9a8YTOhXVhINhF6vjWvdeg3UrNnPuVU9x7glDqapuCMfGJWhHHjURj8dLYmJCI/CwfdsCXnn5Rd545Vm6JtZx09X9WfXNN4RqVlFYdAI7duxACMGUKVM47bTTyM3NbfG8Isp/9erVbNq0iTFjxjBgwIBffc2HUsI2BF2nzA6pNZdPgBXgxKHyoM3A0o7r5Qi6IsVS0LKghwHRYZyoSfDU6cTmOww69ySEoTUL0bYU7YB4pKY5elgZAJGQZfH2zezZtY1+Q8YB/OJ8X4Q50Ov10fuIUWxat5xVy+aS3aotHbpEmgk5v1lBRHIoQvx2DJVEVROUB2BZA1iZIA7eHKxJbLWzrAORDrIYCDTNGaGDaSts3NgwrDWUARARJxrkUNBXuSH/Vi7QLxFkgvpp59PoWaOpAxtLQCwDJwg4ILdAuA3qRC4mweoFrATjOYn9kAVSB6+m+hMUgb4O7MhMcwEvAhUJWeDAUgMG2wovqEW+Q+H98iSsQPUykBZQrjoeUqr6Htg9INZXQmm4hkXlybTNcnDQfgEk57dLS8Uc8fLUX6bHS17bzo3b2rbNnuLN1NZU4kgJ0mHXjh/ZumkV0nGQEuKTUsjObUNCUup+54pEEvYp/kbTdfuVV173fv3KlVpGbhoEDxzSl0BtfQBNF+h/cN5c87qYA6vZRJMO6FGQ2BPHsdFMtyuWlGg+Hwm+GrrF9kYk5GLEQ3V1FXPXLtKCnnai36iOjD5yhNamIF9DTYXG9enPyuFG0opdu3blggvON7+d9YXdbeZCp6ioQCMYVrgjr5fa4q1atM9HclKCdBxbKXttn9ZJUrKreDN7dm5V3r0QmKYHj8fbSEttmCap6TkkpbQsOVWlZE04gX2NQcdxpGGacf+8+a7aeQsW17z87vS4i84eK7AUmUbtxmL27NxlPPfss/R67rlfHQIXQpCSlsWc7z6h9+Bx3HnnnTQ0NKDrOnv27KVHz14xcxetsT5463v7hPOP1Mz6gAiXVKpWtNIByyYzK4XjjurDD6v3OL0HHi1009Bvu+0WIo2JIkBLXddZsngxr775Hqeffgon5e7ASFrHUQ+/SvH2zZxyyik88MADpKamYtsq1da8xXHEMFq7di333XcfGRkZ9OvXj3A4jNfrPeg1/pli6uofgB4BNtUChSCKFe4q0gulEQgmQHI1mPfBhAFoUWk4R2ictKOU73PyiK5/h+WL8xnUv4si9voNgc/DxgCIKP+Kst2sWjqbPgPHEBuX8KsVdnNcQLuO3YmOjWPj6iXU11bT64hRKlLwG6mDBb8f3G3ZygB4eSqsPwKVvI8c/GAS0YaoEHykEgCr6ZlvAKYYcJwFfW2I2+fynHigFsxKCFyKCv3vIzqqXLCJuB+Ml8GqV+ciDDIETif3b9dIwAarDeibBHjMxoYEMhHs08HzTwgNB/tbmsH63fshYZsDWzRVshh5BywgXkI/CQt02NmMIliayhgQFQJDBon2BFmZ0Io1GyUUSdUh8U/D/IiWXp6b340YBLquN1YWRKS6sozSvTsIhULKzrctNm9YQTgcBCmQ0iE6LoGs7HxSM3JUvXVz0eDDDz/wHzmwMCo9LRE7ZCnPzx1E84VR6DpbiksY2q/TH9eaWiha2J3byvAZBumZSUhbuvfAAc0Dce3QgOq6IPGxXgSwa0852ZmtyEtVbMQVlZVAnJg66wXPc8/8u/HwlmU1XsehAvsd9NLckjhN07niskv4fvYPzrvvfKN17XyR4lUXGobXJE5CIBgSQtfRNB2/v4G9u7ZSvnenO36JrpuYXg9R0TGKYEoI4uISychuvR97aXMPP6LstZ+4bk3ThNsGOe6JJ59uGDVimOzQJlsMPaIL24urrL/d+BQnnnqGM3jI0N9hPAlyWrejdM8ObrvtNnbv3s3DDz/ME088QWpqKg899C/twf+84V+4bGVMelKivPYfpwhZUQ2ajuMPkZwaz23Xn+Hc+NBnodKKSt/dd9yMx+Nlx44dpKSkoOs6paWl5Obm8uPmzdTWVDF82EiCjo9ho44hOzON6soyzj33XDp37kxqaqoywPZ5HyLzo3PnzgQCAZ588kleeeUVTNM8ZDwRv1Qsx13vZ8Lq3ZDgwIpk1PproaKobYHxYHwJViQMigDHhtyOENoDQ/yIWUC2xojU3Zxz+7FcetNzfDR1MUMHdnNDCweOAvyUHBYGQOQh1ddWM2/mFLr2HEhaZi4Ry/rXSmP+w3HIzm1DXFwi61YtYvZ3H9G5+wCSUzMjPb//6Ev5WbEdZQnOWQ7VJ4OIMAcebI42C/2zQDEPSg/qybnvtQB+tOGrKFVmZ6DQphpNzYGIBq0MwmNpmnyRc7q32F4NdKKF8nQMsHJQJX9R7ochmiavi2AVKCND/xrskU3HtbtA+HLQngC7P+jzG4MZjbTA3zvQT4djnaaKABuIk9BJQpyhziVwd3RA4ODECpJLthFTU8mGbiOxtkikqoT960QItxQw8kHLCIGmCRKSUlt4+1JKykt3UVlegmNZSCSO41C8fSNbNq5SjIbuIh4fn0xe2468+cbLWusUocXFxiiin3BYWZe2jbSdRoWiOQ5zFq7lmJG9FF7ij1gQdZ26mgae++9U7r71POwGP3pEyUhAE4TCFp9+9AE7d+/mqquuYt68eSxZvJjklBQmTZzInLlziYmO5suvvuLbqV/y6aefMnDgQL766ivOPPPMQwzccp9HBIy3z4TRlHcpAXHe2WeGJr/8sL5t3Va9oG9nwrtK2burhJBtEQ75jeXzp4tWqSaWI/F6o4iJS1AOi5T4YmJJScsiNi5x/xFIFf0R8JPpnoOJe3+EbduydV5B9C233lny2EvPpw7q01G79ZH37FGTLjSuvOJy/fcYfYZh0qlbf+Z/P4WRE04nIyODrl27MmXKFDIzM3nqqadE5y6d9W8+/6iqvq4i8YH7/8v115yIrA9ixMcQqqolLiZKPHzzKdq1d02uu+GmO2Jfe/UFPB5PY74+Olp5IqNHj6Znz56NqH5Q5d6dOnVq/Ozn5kRycjL5+fmYpnlYoP6hyQB4dw583QbIAoaiMFhuWbP0gOwLmKB/qkgvJUCKRB/u4EzTkVMEFKq13QkFmXDCCIpe/YJX353OsWP6MmxAF+Wd/kQoufk6FJG/3ACIKP+Av565Mz6jU9e+tG7TCcex0LTfNzyVErCJS0imz8DRrF+1kCXzvqNtx+4UtC9CuuQNf5aF6Eil/H8sg53ZIGJ+ZoeIF7lJ8d9bOyGch1LEpbg1eU0A+aUhWIZSnlHhloB//GDuhuCN7gbNbq1ogJjP4AgBS36AytNQ/ap1sLqC9oMyBPgeaEC16EtEgQ7cunzpAzsKjPfBPoqmMj0drGNAWweeBaBtAVHeFDWWKMriCM1xZH5K9+8EVCQg8pmI4F0ckFLgaajDDPiRKVEENtsItMOsxH2fCAFNoEJwr1PTSE3PITW9Zd63qrKUyrK9hIKBRs80FAzI7T+utn7cuMHXMbtQzFuwAqFpRPm8pCQlkJwUT3RirIoaGAaPP/YuJx09iPTMZGUV2jbSDaMefLzN/jrIu7FrbyUff72IieMH0rdrAdJuVgonBIGQzboN67Esh3DYYtq06YwbN47Zs2ezectWYmJiWbhwIStXrmLQoMGsWbOG1NRUNm3a1HSPfoFE8sjNQWARavADWoIikpunBa5jX6ko2ysCDVWsXT5Xb6ir0xev2kBlQx1WMIyuaWTnZ5OanCAQupWUkqF5vNFacmoWvqj9Q2stvXtcA1Hj9yw7EUUY6YfghGvMVeu2oQnB7AWrxMuTP9M1Df33GlJRMXHU1dY0HuO8886jR48exMXFIaUU48aO9Y4bOzo49cPnK+564InkG+69UPqrdor53y9n0DEDobxKRPmk56JTR1off7us9q677427/bZbGx2w5GQFqkpLSyMtLa3xOTb/GfH6D3QdjuNgWRYej4etW7cyYsQITjrpJAzD+Mu9f3Aj+hKy40EfCk62Oy3fRnk6CajFW4LTy10Da0B3QOwEaWlqrT0DGA3WG4Ko7mBVVfHwXefztxuexxPJLfzEO+OotCHC43pTrvylBkDkAYWCARbN/Yb0rNbNyv3+mKFpmt6YRujYtR+xcUn8uHE5VRWl9Ow/AuBP6yboOAr9P2UxrC8EmRHxAA6yQ0QLloOzFKzRNNbBGzWKvrf5I29R70+zvgEAleCkgTEFrCtocsEBWQWZH8L7r0G3q6HyOBqrA5xe4JkKoRyUAeC2pRLRoHcB6wT3WAEVAZClYDwN1t/ck4dQzS5ag7MMnDGgTwarGeDF5RxqIQL1XsQ50FPCaqG4A4QETHAMjZgd1ZgJdZS2LYJK2OMVBCzVrOi3Vmj8GdKcKKg5sHBfoyAxKY3EpLTmu0pA/P3Ky+1jj+xuXHTacEJhGyusFHplVTV7yyoIBII4DmiGxvYdO0mM87B27Y8kxMWSkBBLTGwMwjCagBiaUBNTSvW347j/1O+O4yrUiFgQHxvFsWP6EuczFZbB3UZ4DMr37OHht+5FcwJU19SyZs0a/H4/vXr1Yvv27QQCAbp06cJ7773HTTfdxPr168nJyeHNN99k0KBBOLaN49g4tmgBjFIBDNlYd69pmgrJ7xPJ+7lF35EOVeUlVFeVUVVeSjDQrMuGAE030HWDlJQU2rRt5333g4/YUVxOr96dMCXERPtI7tyOrMwUfHEpgfx2XT2oadziOUZe7j+KByKiDKWUfP3114wcOZKoqCg2btjAk0/9J/GRW84Sji644vJL6m++5Rbz7rvuEr+3XbKm6RR26c2mtcto27E7juPQs2dPoNH4ErquJ3jTetRWVlTZNTvK9Hc/mcV7n8+TXb9exBXnHMVnU+eLH5b+GFVWEw5u3zXNHj9uLL169dKb8zlEnmtEyUc8eE3TGtO6keceDocb76lhGHg8qmFUfn4+BQUFZGRkHHJa+F8qkbRxfQ3YlSAy1YfGGpBhsD00RlER4AwFNoCsAHkJOKk23A3aaTbmGoejfHsZnl2OjkNRrw5cd8kxeD0mtuOgH2SOqWZRXuqralm+cj3QrfG7vzwCYFsWG9cuRTMMuvcZinMIQn8KQ6DCH7n57YmJT2DL+hXM+vZjuvQcQHJKxu+qEvilEvHId5ZCfVf27wqxr7gusV0E8u9uPr4IiAfZC8z1EK5ssT42jt5hnwhAPVhrwFsGciTYHZptnATlp8Gjb0FDGsg4miZlDxAlQDcQ7UFfosJasg70nWD9CCwCJgFexc+vzQCzDJwzwW4HWKB/pHj8tVLlxTd39x32K2NtBALGSpWVSDbcLoz1ICsdpE+QsK2YqFYVFHccAiGHH6M0Nu+FzjkuedNhagAcSA5qFLierNA0CYiK0r01X0391vftq9eI3Patm/J+4TANdQ3U1TVg6Bph28YwDbIyNhLt8yGloLyiij2l5ZiGQbTPg+1IfF6DBn+Iyuo6DF0nOlpxukdH+4iJjiI6yocW7VXRg8bBCXLaRHHXP05Fz0qB2oYmZKwmSU7yMmr4EELBBl597XUyMzMpKCjggQcewHEchg8fzhdffMGkSZMoLCxk9uzZjBo1imAwyJy5cznjjDPw/MQasO9X06ZPZ9q07xjQvy8jhw9h+9YtBAL1NNTXRm4kEtXUCaFC24bpwTS9RMfEExef2HTXBY2h/OjYBPLbdxf/fultuaukijZFhVBTjxMMgT8oU5PiRfHOrU55WblMTkluYif8jco+ouAOZCxEjh1Rajk5OWiaRigUwuPx4PX5xDFH9kJLSGD9hh89rfLb/jp+goOIruu0ad+Fbz9/i3adeqAJ0ViF0lw59+/bM+7Usy+3Tj3jdistK8OI9hqiR4dMzr/mCaJiYrjk9BFi+apNvn8tWuU88cTj8s03/0s4HG7BpHiwdT9iKES2bVYKKqdNm86XX30lHn7oQTIzMxvv4+Gg/CPl3tvK4cd0lLevoYjbLgTjRqAU7DzUvFwJ7AWrAJyzgHEAOvojDnoolsA7Gvcfu5I2GdXIsIZVUcOgfp159Z1pdGqfS1S0TxnurkRC/lp8LJtXb2Lrtt34g2EFznblLzMAIt7/7uIfKd1TzBHDxqPa/h6qB6dCm45jk5ScTkL/Efy4fgVL508jv01n2nbsjjISfnuVwM9JxDGorFRAtsbPfmq9EEAMOCcC1WDMVYh6uwDMWBRBf+T4zX7mmerh7gorngnpgFwCoRPBuAvst2hE8RMFlRPgrpfAOxplmLjRB/0RsNu4xx2hvHzje9Ac9xr8YCwGvGAPc4F/RSA2gOcJcApAVIP0o/Je/gPcF1pCEiLiuENJ1cAb+XIXsEZAF4HuBJGapkpmMh3WxML8VcoAcOTBCRX/V0R5RiA0QVlZmago31t7ySVX6H8/c4iRlZWM0xBAuC+8EILo6GiikxL4+usFOFIStGx2ltRwzcWTMHSd+oYGGhoCfL9gDV/PWEZOZjI/LNnAiIFFHD+uv+t1S2rr/VTV1BEOu564EyGvoXESC03DYxg0LPA3UstaloMmLBJScznqqMtx7BD5BflkZGQwYfw4li5dSnpGJps2baK0tJTTTjuNmpoaJkyYQFpaGjfeeCPr1q7ih5lfYNsK4Wp4vIRDQRzpkJWVTXVlDXN+mE/bNgV0KCxg4aKlPPzY02zbupV5PXqwZdM6jp10NLZjkRoTp7ATzUKjQgh8vhiiY+OJjonD64va97Y3SjisKivy81o5GUnlQjq2ZvuDhEJhdH+AtJR41u6qErX1daSkpvxu/omDrX2RtXLJkiWUlZWxY8cOLrjggsbv8/LzZV1DQFRU1rJx1R57zdoN0Xff9+Af5kjppoluGIRCATym120l3RJw6vP5+OcNNxjXlpQ6n3/8rnXKScc0nHbmOQ2fzPwx+v1Pvom/7tKTAhMm9qh74LmpKeFQSLMsq9Hzb/7TcRxs28Y0zUainwiSf2dxsczJzfXfetsdIjY2ztenT6/wnbffAk5Y++zzL4yjJ4xvJAY6HESinJCyOqhLpglDJcBpDdZ1oN8J2jYFamYYOKegQIGFDkgbY8kKrO1B7Oun8cKpfemWU4cdUgBRDUhKT6ayqh57HwCg4zhopoEwDWZ/9wM+j0m7Nrl4fD5mbWra7i8xACIPu7KihFVL59FvyDh8UTEqJ3+I47aRlICm6bTv1JOY2AQ2rFlCZUUJfQaORrgW7qFkjtobBGm0jG7+pLjAN+d8MGaC7dbf21mg7QH7ABVgbQ04OQSvGvCDixXAAmc+WINBvwXse5rtYIJxPgQjl20D88D8BgJD3L/jVYhKZIPY7BoAHsUxEJ4LngawhoGdAVZnkLtBrESlEjqh8AOBA9s7B8KvSpQS99K0j6gBygVxoRJ8opKdHfojbMArqPXAjh3uvn8pEvCPF6/H23DVVVfrfTrERp978kh0XUdzWr4vtm2h2RqffruQ8SN6kp0az4WnjkDXlecbExdDTEIcg/oW4fH4MAydtNQUdE2jXYc2CnVsWQSCYYKhMMFgiFAoTNiyVZgfmoW31XkTEmIb0eoqVWBjRsco21L30LVrdySQmZXNuKxsAoEgjz72GOefdy5SShISEkhISACgXbt2tGvXjo1rl6pcvqMqg6SUREX5eOONN/n666lIBJWVFTzx2L/o1WcA99ybQ2lpGe+++x5SjyK3oAuO2w3vl4hs5jU1TU7RmLvXddOJj4/TpK6jaYLozCRIyCS/dQ7fLNgl6+vrf+tjde+bcnzmz59P27ZtSU1tCRAF2Lx5Mx6Ph4yMdD766EPGjj2K7KxMbrz5dmfTxg1a/+5tSMlI5m93vGPfceedenpa2sFO96vFMEyKeg5k1ZI59Ow/EiLRlGYipcTr8fCvRx7WxowZQ+fOnc16b3r0v599wWzf+Xm5O5hFYeEo35gxY8SixUsoLS0lKyurcV8pZaPy1jSNQCCAz+fD6/Uyf/58+eBDj4UrKkr1lMQ4o65iK3HxCfKLT941/TV7HL8T49TWVP9hqZY/QixbkZ7pwi3RjyCfQS1qYXB6ApeBtgHVi2UwkBSJ3Qbx+WNk4KLbxNhBx1f3S9gYZ8/9WpNtx6FHRWE3+BFSIB1HNfUS7jx2y0f1mCiq95SzaPla0lISaVuQS0xSAnZDoMU4DVAEBd4/yxRwlX9DXTVzvvuEXkeMIjk1wyXF+HPCNk0pAUl2qzZEx8axdcNqpn/5Ll17DSQ1I1ctppr+h00olddVv9dH8evc00g8XAcRcH8PgzUEjHUtDYDIHNsQhF0CTtBgrw5bIhNwswKieMpAmwbhYTTmDixPs4MYivEv1IcmNsBY9bXdBZw8EDtA+0Ih+R3AXgZGEBgOdiuwM2lKc9goN/8ga2VzAGCLewZ4WqSgHRAasc4efOEK6uMz0AIO0uVrrve3vA//6xIxljduXFe/Y8vGlOdv/yexbbLVhdb5W1g6mqaBZXPVeeOZs2g9E8b0A58JdQEVBreUgs7MSeGY3FRkIIzwGpTsKkehkCQIDV+UD190lMIGRFITzRSjOzKa2LCaJ+ltwAM1a0Aq/IDQBI7HpGxXKQ88Odnp3aennZmZaVpWeD/AlxCC9p167ncf3nhzMiWVfm66/T7q6+q4/4EHmPLtXK677h90LOqFZdn06TeA3BxFEqMA0Qcri2qWahHioOtO5N4LoRMX4xValJftu8t57an3Wb+93Fm5Yp3o1P0IkZqS4h7qt60Vkf0yMjLw+Xwteh1EvOLo6CiZk5MjvF4v55xzDq+/MTn42ZRv9KKCBD744ANx83UXB/wh3Zw+ZxGvvD3oDwXBaJpORnZrFs39xu3GKvcrs4148T6fj0kTj9FQ/m5UfHwc9913LzW1dd74uFjfww8/xJo1a/D5fKxbtw5d12nfvj1CCDweD9u2bWHmjJmcfc657Cgu5vIrrw8lRIUpzLK1+IJUrVPXPH3coFN54qXPuPOx90JXXXkpnbr2M4cOHQJwSB23XyOGrv4B9C+A3NmwPoK9c3FMOOAcBc4oXE1sqfCurhG/zaD2uruZ2Ka1c/v53emWXsyc+UEe+c8njB/Tmy5d22DVBdCCIY4f24+X35nG388bD7qGHhXFqkUrKS2volV2BoUdC9T7HwiiGzrN3S0DlPIP27+N0/5XiTspQ0E/33/zId16Dya7VZu/KGfT9HIlJqXRve9Qtm1Zx4pFs0jNyKFbn6HAHwcQjKBBATwu4duvEgNwIPx/oD+uwCMyHegF5gKwmukCARQ78EMU9HGgswnbmrECagsgfB54HgMiJXthWsSDjEdRqYcYlOL2gfGV+mmNVCErmaQqC8LunLEAuRY8YQiPUNwA1KLgUQJlBNTs7+0LDl62LwCfAE8zBSRKJPrmMMH0ZEAiTIkTgMRaaJfnXuPh4Qj8bokog4cf/lf0/11+DK36dOTpByfTOjuFCSN6onsMIn2oBeDYDoXd2/GvFz7jvFNG4tQHGu+tcPP3MhgGhGLoC1mk52eyavF60lMSSU/9I+iUw4jgaqDpuQqPyfIfFvL1l19w9unHapEOjNAS8AVN2AflxWt89NGHnHv2mVzxt79x5Cg1YYuLdzB16lQEkmAwiNfrpahLl8YRKKX62yeB4zh4PB727NlD2d4dxr8XrrOGHzlAtO7SQU69+lmrc6+R+nW3XiiKOneMTktL+90GQKQVb8TosCxLMUNKicfrJTMzSwD2K6+8Evrq62+1nERbO3tMrlbp91pXX/V347OpM+S69RvtCy++1NR/Bw7hoGPUNJLTsqiuLCMhMeWACPvmbYXdnL2U0hFCaMTHxQopHdq3b0/79ooXo7KyEl3XaWiot//1r0fDs+fM9+7eU2atXL5Uf/ejr2R2apQc3z9eO2ZMXz03K0WQlQalVZx3xb+ssIiTDz3ymDZ8xAhR1KWziFD+/tW5f8tWiv+NBTB3DQg/xMfA7v+CaA0yh6ZpGfF6DCBkg8eAijK0z7+g5qnpnNfZI04+/8zSovTyJMMTpQ0b0RdffBwz56xi794qRo7rDzX1dO5SwKffLGLRis30LCpg1tezSUyIo2P7PLJa50Aw6KpeQTAYovlCbwBc/TI8fr76IEJXKIRaRDXtj4LFKeUfDgWZN/MLWhV0dMv9flut/x8ljcRBmkZ+285ERcWyfctaZk/7hF79RxAdE49th9E043dHAxzXi9ctmhXo/0JxowBOb6VP7RDQoKIA3tVgNTRtGlm6F4dgqesINF/OpQ1iGoSHg3EdyMvAbosyAkwQu8H4HAIj3c8cML8HfTY4Ohh+sCaAqAXNS7OWfeqywpuUESBHqmgBNYBHAfj0bW71YrMBaYBxEH0TeT987l8OgoSSbcQU7mXbzsGIr0CO1WAFjKiBEya5+f/DwxH43RKZnxs2bPC+9dhJ2oN3v853M5Zy3/+djjCN/XMdApyGILmZyXww5QeOG9tPvcT75MGBxs+W/LCG2x55h+SkWF5/4u9IF+T1R4iUEuHzsHPLLt6ZsiR07T+urm2ob0gRQjSWwe+7fcQh0DRlpCcnp3D+BRcgpeTUU0/l2muvZefOnYwePZrU1FRCITUBfwpE92sl4hzExMTQKjdbvPfeu/p5lz5mx8SYTvuOXbUH7rtNT0pMhD8AahIOhxtxFEIIFi9aSO8+fRu/37GjuP6rr750Zs6a7du2calx5dlHigG9Oxitendg+JArxdMvvMPREydFBYJhOWzIIO1Q5MBN00tRjwEsX/Q9Q448tln0p6VEkPlNf2rNSiC1xioGXdcpKChQ17tkifjXIw9qpx/TX9z1j5MMAseL72YvY/qc+TJQmeJUVjdYY0f00xZO/la8+/EPVv9hEzn+uIl6rx7ddM0t+zxcPH9bqvVqygJ4OxPoiOrgejqQ4SiqZCHUAuVEkMqOUv7vvY82ew7y/bcYMPCS+jMvGhXqmV0Xbei2IW2Q4QD9B3QhPTmeL79bzKon3uOSM0bj9Zhceckk7n/sHUpK9tImL4u2Ba0xo73IQMB9HySW5fD5d4shqX/jeA2AJ5Kh+iF47GpI9Ox/QZZrnPye10pKcGyL1ct+wOONokuPAX+58o9Ic+KgjOzWJKWksWXTamZ/+zHtOvWkTWFXgN+VppA0hYQaonGLhn6luMw+of8D40EI+0DGQ2gs6B+6jH3NpPwgRoa0wdwM4a7g1IPnYRBd3fLABnXsUDeaOHuDoM9Vc1eGQJ8OhgXWQA44KSyA7eD5CsKlYPV1b0AI2L1/8MMv3bLAfaTRUJZNBoIEfOFqvInVBILxaFNsGKNDJbRpgOQYNU7PX17f8vslUha1ePGiQMne3d57Hn2HWx95j7uvO4U+vQrVS2W3vJuaEFihMFddPJF7Hn2HkQO7kJQYd5AzKIW7eMUm/n7+WMor64BDUDut6dT7g+wq9Yv2hV1EKFgFB5g5EQUeqeWPjGPQoEH07t2bXbt28fbbb/P444/Trl07zjjjjBbK84/0/iKGRFxcHFdfcy0TJkzQFi1ZIUrKyrSzTj9VS0xIwLKsFuj0XyPNQW+maTJ37hy6di3ixptvZ8XKNeHkpGSRmZlh19XVaP6aUiM9QTKya47R/fQzRO/+RRCycGobqKr2k5WVJYu6dP59IY+fESEE8QnJlO0tRin1X84613w+Nb9XjS3f6xpE+za5+mknTeCLqYvDpbtKhIXHHjj8aLr2HOBZvGgxE8+5I3ziiafq19x4vz5uzEhNb9YX4nDJ+zeXaAlab5AFLoSrb2NCs2kjTUM4oC+V2JkW8p//h+7UEC66w7njuqGeflk7tFhRF4XQ3EoggV1VR0HbbI43NTZt3cO/X/ua0UO6Yeg2W7bv5sRx/ehYVAhhCxlUhrFl2RgeAyM5ngXLNtFnxD4GAMfCq9/ArjegbT0kJUBOOgzoCD0LFMjLspUj8VtCq1JKFZbevoGqyr0MHD6xqWTmMBLlbTl4vFF06NKH2LhEdmxZz95d2+g7eKzbXcr6TRwFzVMARgMKuPZro6zuvXeKwPSAHlCpAKezSgOILYoQLnLc5o9q31NZEoxZEL4JwutAmwNGNVg3gbbWxQa4x9JWQjjQFLq3AG0WeCpQMyjAfmJJYDdoS4B+7ngcFCdA5H4AHg1GmNDJUfZBJCrmNNtG/a7KJTyGH4+vnqrt7aEHyABo84FUaNjyh6Y+/3KJhFSzsnPMe++4puGOex6P+r/Lj9Vuuf50RQJhOfst+VJKjNgols7cgM/nxev56VpTIQTjR/Yip30uBMIQtn5y+99yDYRCtG6dwQlju+vPPP9S9HVXnLNfiiGyHgSDQebNm8fw4cMbvzNNE9M06dChA8OHD2fnzp1cfvnlJCUlNRoNh0Ii61OrVq1o1aoVI0aOchv5qfP9HibR5mDj//znaeuZ516UPk+U1qVNon79eYP0cLievXsrcBy0zu16me3aZNOqfWsV4ampx7IcPFFevB6PEwgEaB4CP1T3Q+g6eW06U7xtIzl57X830U5k3549u8sTTj7Tvu/pj+WIMcfpnfvmifS0dDFgQD+ifB5twvix2hED+mt9+/YV2VmZGhw+pX4HE1sDp9qCgIOwHGSUCcU74IUXISsLhgyDvTvRK2Okp34w/itOEQw6Ai4/Fz4bLY6I+9iMjfabssHjrn1KdF3DqfeTmZFMZqcCAoEg/371Mwrzs7j9mlNYu2k3he3q8HlNHNvB8JoYyfFUb9vL5Ne+on1+dotxCimljHsH6k8BuY7GnG1sJeRVQZsyaBeGRy9TO4TtpqYGv0Qik6S8dDfzZnzO0DHHE59w4BzSYSNNHJ3U1lSyY8t6tm9ZR1GPgeTmFzbmKH9tuWAEbHnOk/D6UFSNPb/SDnBr5rTtoP8dwt2BKNAqwHgJQnXNtvsZMU2QRygyH1EC+kbQCkDOgPDR7jHC4H0VgsX7768DUlfg8YOJpw2ELlTH0WpB/wDCW2gk9k8QcJ0JZ4Yh4GKLTHVJVKP4iLZpcJ3hMD8kSEvcRFrcajaa47HGGxAWiFMETir8fRE8cd7hGQGwXV4d41emZ12+d7Fr68qdXXsOzO7fva3wRfl47oGLSUtPatGIJ8L9P33OSnbuLmdQn44U5GX8fEmE18TxH7oWwVJKRFwUi+etlide8R97+heTRX7nQXrEmI6sBZs3b+aee+6hoaGB/v37c8011zQyxjkuUr+iogK/30+rVq3+tD7v+5LU/J61K7JvSUkJUVFR6LpgxMgxwbOP7qinZydrA7t10nLyMyDGCzX1KlRsGhCykP5Ao6FkOxLdYzBg0u2BWfOW+XTtz0HA11RV8MPMzxg98ew/1IkrKSmV69avZ+iQwQJg27ZtrFq1irFjx7Z4xn/WM/+tEnDX+DMes3nrWB1R0GwpPuts+PADGD4cxo6DD95DpLdGq/FiFybADdehZWchZ8Gl23/kgX4riYsOg9NUc+E4jsKk+bwsmLMUn9cgbEPxnirKq2pZs76YR+66QCmWWB9lm3by1qdziPJ66FyYQ6d2rfh2rWKrPOmkk1QEIHMJbBsPdkca+V/qbFhdDqtLga2w9wG47XLoEK8cBY/xS6IBEcR/DbO/+5gjhk5Qyv9PRPz/JnFfJOk4xMUn0bn7EcQnJrNp7VJ27dhCvyFHAcKNBvxy8iBDV0rg1pNh+VRYkYHihpa/+BBqOx2ctqAdD+Z8sNLAyQQ5AIypLrFOxJX+ibXfshQ9rzAhPA7sTiC3K5xB45ik8rIPJHbjfwcfKqA0uh+cWKAHmFtUcAFAChXe90hVJRgF7BCwSIehjlKcKw0I2yrCaRh+DD1I2PIgpA1CU9UJYfA2SxMcbqJrymBypDJQIuR7P/fYhRBCSomjxUddddXfSzR/ceKtD73uHdK3I3+/YDy6YbQg/0ATlFbUcNTwHqRlpR60S2BzkYFDp/zdi4CQTUFuuuhflK3fdOcjziuv9cbj9TaWgEXq3F955RUuueQSxowZ0xhihyZvPFIi92fmfZunJSJ//16pqKggLi6OkpLdBIIhce7JR2oxhZ01QuWSmgYR3FnWDAcBCFX73QK/YejY4ZDn7rvv8t95xx0+DmEKICJen49gwP+T9yCSlfqlRFxSStLT00R6uipdjEQz0tPT0XW9RXTjcFb+MmLgWwFqc33w2bew+QOV49yxHc48E5YshhkzYNMm2LED+c612Cnx0L0vxMTihB30QfDsV225tP1musVWgi0a+4PosTFU7yll/pI15GSmkZGZSmpuBh3Lqpg5dxWvrpgpr7zpBf52zlHiqxlLiYv10ad7W9KS42nXsbXrMDRF+QyAVy6BEU8BN6GoW01UyVk6kA5OF5icCFtegvN7w4UKIE/QUgubcVBdLgiFgnw35W36DhpDRnZrRbRzOCv/ZhKpQRZCkJtXSExsAsVbNzD1k9fo3ncYGdn57qLwy8iDdKHuWbtMKNgGy2tRBsCvFZdNyj4LPB8B6UAArD4gchRaX+52lexPGAJSQjgEnh9A6G7Hvg405evd/UUSirD/V4crUGWLFSgjwASylM6OiA0E9rl1hoD1GiyWkGjCdEuy1RFEeSvxeivYvbcPeiuwNYGwQWpqbOZhGFCypXru322CtSVw6cCmkttIBF//ianTWCKWnZN4w423Bv01e5wp05fK/j3bCc1oCQKUEoSusXz1Vk4+ZiBOMPSLmiIeas9RAE4gTFxiLI/ccg7X3fumc975F+mTJ7/RIoc/ZMgQrrnmGlasWEHbtm0PGM5ubHL0F6whfxS4ECAvLw/LsoiJiSYhLkZec/vzWs/uhVRV1oq+3dtz5NGDwaNLqutEqN7fGJRUWCJlGDghi+cfuEgbe/a9xrhx48UR/fv97vH9nBimlw5FfVmz4gc6d+t/wGhIRPH/Ur8mkuqKHEvXdfLy8sjLUyU9h7PSby4hG6QTYHPAx/at38OD5yMuOgU5YQwEg3D00dC1K+zZA+Xl4PPB0RObQoKO6hwkBcgL4dIPevH5uLkkJtajSRM9JpoFsxcTCARpW5BLm7wchMfAqW0gJsbH+LH9eeiFL50X35ku+nTNFwN7dyA1JZ6C9rmARDYE9xuzBjC4DZyTA/JNEB4FEmukBXcnnhgE88bCzcVwySMqMuA1lPIPWgfuRGiFQ8z+9kM6FPUhu1VbN1/3v6H8IyKaRQOSUjLo3GMAXXoMZNPa5SyY9aULFtIUc9kvEE2oe9u9M8SUohTtb1lXNJAeCF8H+jJUc5wocDqAdSLYp4EnWZUcahH8iWj2zxVHQiiguvQZ21BuePN5EgJZwW9S/o0SoflzoxfNRQJ+oQgCNXU60iUMsOAHHV62YY0D9Uhio/cS5S2jzN8W3XRcdDu//R7+CRLRz3sa4JEv4agH4PzH4Zmp6t3RNZVW+7lba+i65vH6ot547ytv354dRN/u7RC6aBneFwIshwG9CvngiwWIwwQQIR0HNDCz0uSPxRXOxq0l+siRw4GWSjUjI4MTTjiB6Ohodu7c2VgB0VwiFLT/6xIVFUVsbCyJiUk88cTjMja9qGrhmpqK4gq98r+fzAuecPKN3PrPp8XKFZvw5KbjbZuDJz8Lb5ts9GgPli0JB0KyR//OjBneW3vt1VfcEq9DK6q9dTt+XLscXLKk5hJ2YHkpLC5VqUHnF64Zked62KaFf0ZsB7yGhc/j45PPvrTWPXmWQ7gMefb5MHq0Uv6gDIDRo+HUU+HYY9X7Gem9ISVYIWTYwSiQzKtNodoPWqyP2tp6vv58Bl6PSZdObWlbmI/QBDIURtMEdlj1mTcNTZxy0sli0ardVt9ehRS0z0U2BJANwQNWyBigzvvAKRB+D15/DYxz3EYzAqVoQKEQO0FJJjy/HhZMgW5lcMJomOj2FghaKqypCxWuWLV0DglJaRR27nXYgzZ+TiLRAF03yMlrT0xcIrt3bOaL91+iZ/8RZLdqQ6QRyE9FOAzVkI0rjoJpL8HcPDd8fwDl+JPi5tCd4aCvBXMmhDuh2P4ygUywkoAAmN+Bs82t09/XCJBq7gXrVPqAy1A4EJeoQl8K4XJ+s4J1QqhkfhxKUZfSwjUISPgyDB1NODKs7I8QUCag3oYGBzQXBqNrQRxpKGBgjQRLGavabpAdXODhYSa6UAp+QiE8L2FaEZAHn5bBO3fBXSfC0M4qGqCLg+vrSC588n8ni7uvmYDu9bTI/4MyLsOBIEefPJyHH5zMq+/O5OyThqHrLcsA/0yRjoOI9hGqqefCU++Qu8sC1tlnn+298MILcBy7BZBOSknXrl158sknG1ni/lcVwi+RiOfbs2dPT5s292r19fWOx9RFcXGxsXrNusCaVcv9tz7+qSkfessrBMIwdQL+ILdffwF9B7UzCAYEcVH4/WHnglNP0/+s9ua6YeL1RREMNODxRoF0Oy0IKK+DC5+HLB988g8IhcH7+/oRHf4iJbom+PeUkJzy4aty0euXaXY4VmiTP8Bp00a9p4Km0j8p1e8RA725voh0ebQsvFE6iQkxrJo/m72lDbRrk0t+Xg66x0AGQy0UuqZpELI46egh2vKtIeerr793pHUqOD9d0muAGkOqDx4+AUJvw9tPKoCZxAV4uWluKVU4WB4By3JgWRlM3wDvfAGnTYSjuwBILFuybdMqqivLGTRq0v+88o9I82hAYnIa8YkpxCelsn7VQrZtXsOAYUeDENiWFekpvv8xUGHhtFjId2BWMZi5bt6+WRChUVH/1G1zjQDrfPBuAbEbQq1QHrwAJ1dtE44HKsDzpfop3fnooMLnVsQI3Q7mBxA+EahTG+jb3TT/AfRHZIgHgxpIVAcsczWE82kJ83ex1I6EDRJWazAYBfrbC3wloNQCTUgcKYiJ3kNs9B6273YJmqoEeh3YJohywFCMhIcbBXCEgyHRBycOhjWJUNEVyoMwMxkunQsTVyoDHH66isElt3Gy0hN1zdAh1DLsZlk2ZmoCzz39IZWVtYwf2kPl9v8q5S8l+DxUllZx84PvWDEZXQP3//O06ED1rsgGLbYXQhAfH098fHyLzw5H2ZdzIMJhr7vv/S8dt2sEaAkJCZ4IJXJqWgY9evamvv5YsXHTj1ppabkeDofd1IfOtXffxIjBvepHDD2iYeOG2fFTvpnteer5QmXoHWy87rvxU+mmXyoej48uPRUnQN9BR6nn7GJI7AAsqgVjJFz9L3jiH9AQhGjv7z/v4SK249L70gSKf3aq49y25kdqyucKbrpJaGNOQg4oalogI9OhuR4UQnmDug7z5sO//oVAIq77B+EjjiA7sJ0vp3xH/+7xdCvKIS0jBWwHGQofgIQJZNjirBOG8szxd5CZ08r+9NtlcvzIbsLcJ1XYXBpNRikhPRoePwXGL4Zz7gdtNGh9XMVk0GgEAIhWIFvBjjyY3AZmL4P3P5dcfpagU/QuVixdzKjxJ2AY5u9kFTv8JBIN0DSNnNZtiYmNo2TPDr766FU6dT+CvDYdAQ4KdvToagLdeSZs/wpmzgKOA61dU6Q+cscaW/4eLDogQHohdB14rwAjAFYXVEw9oL530oB0ZQiIUFORg3TAMxPEJghrLonFQuX8h08CakCUHvS0LRR/5Cr3zQRJG0QFitDfAhm3v7EQGUs0sF2DKaZqbWw1u+xobwU+bwX+QDICB2xNlVKaKLCDcDMN4vDLBpi6Av6dNRzeeQTm5oOeCbI7rM2A7Ytg8RPwwhmQn3pwI0CBoaQM+oMSKVts4TgSIyGGF5/9lITYKC45fTR5bbLc/MJf8/4JTVk/M2YvY9r8LdqihW/7DM3RZnwT6Uay/0X+lTn+XyOR8TXvRx/5LNLlLpK7tm27Bc99RJrnvRs7PzY12dFjYmL0Ht277XfuhPhYPvj4E+9/XvtKb5WdqU+cdEKDaRrR/MTUj/TviRC9mb+D10XTNJJSMpk/6yv6DR6res2jnIg5u4CeYA2Af2+AjDfhpjP/940ARyrFL6UCwEcMKYXnsVm43ZA1u1ZpRtRuYZ9yA06nQtRq+DNMepoGjkTv2gZxwlFY0gsd2tHx2R84L+4H+vdMp6AgG800G0t0D2ZcSiAqziQrK6thwMChUQ8994E16aieZuOXB5BmlE3q4jJi4KyhUJgMNyyE73cAxzVdS+RiGg2BZJDJsL0VvLZVsOTjGs6t/pgrbzgRUyQQsiQe43Bbkn+/NEYDpENicjrxianEJ6SwecNKfly7lCFjjsc0vQeMBgihFFtBGrx+FKzeAU8thZlfQEMkX98K6AhaJ7Wt7SglGYnGNB0MlQpIh+D9YL4J4ksIR9zpAE2GQBb7ke6H4oHdYLytIgGWBH2RYvtjgMIUmD+o3F5zkUCSgBwDqhwodqPRblCihWhVbuvifFdBR8bvWhEm4DdguwOGA18C6+0Ial4ghMTQg9T7M9xzS7QgiHrA61YpJMAWH5Q2QJK3aboeDiJQ15zogwtGwupXofpKEDGgZ0DwKPj2ViguVwbAgd7vCOrddmwnPlrX0USjupBSIgydubNWIIRg0ph+RCXFgX9/0M+fJVJKhGmyZ2cJn01bYV115WW1sXFxSTt3bJG6fnB8+OHU0OVAEvHyv//+e9LT0+nYsSMej4f1Gzbw/cyZjBt3FLm5rRu3j5QPHqiEcP9rbXndEQNhXxk48Ag6dSw09paUGImJSZimQXJy8kFvmpSwvgpqa6Bvnnsdzu+LBuiGQUZmayrK9pCcmglIAkHB9GKgUCkW60S4+3UIvAR3XaCqx3z/o+kATTR1xP5uK7z+JYT9EMLCCki5YONbulj8CPY5pyHzcpU19HPeiASEwLBtrLVp0O0CkthN3D13su217znxgwto07UAu9qPlPt7/fuNUdMgGOTuf55r3fnYW3plXTj8+Xcr9fHDu2qaBrblYEfoaF1pkTSKGAFCQP8ieDkdbpgKn38H/pGu0m++eNPMEEiTaGlhmPMGdxdNZNnDGdxymUNhnPbnNhv6kyVCdalpGpk5+cTGJbJ39za++fQN2nfuQ/tOPYD9iSuEUFZl63T1r0c+lJRBSKW2WV4FMzbB559BfQ5oZyjQmCX3eQ7QhAdoB6ErQRwJ5oNAvMsT4HafIoiadF4an7yTBiQDkxT9r+Xyy2grFdGPTAJag1ncxBEjgGQd+gj4hw3fGDBVqD4/myzXYHGHJoFwCeizgM4KqChdIyQSiWhw4KswRHkgLgzesCoNDLld3BNidhAXs5MtO0cihERKvbGvAG1VxYOIg+nR8O5HcMUZh99iY+oqwnLqQBXxu/ZxKL8IjHTQg5CbC1lu5HvfCEBk7kyfPg3DMMM+n2mEw2Gh2Q66riElaIbOd7OWc9HpY/D6PIRq6jEMvbFT358pjiMJhy0Mn5dgKMzKDXvko/85LSClxGMeRg/lN0jkHS7Iz6dV69Zs27Yl8I/rbxJ6uNpcvGKNeOiRx6THY2rXX3ctp5x8MlFRUSyY/4N9xd+v4cUXnte7d+va+Dzr6uooLy8nKyvrgC1sD2YMOY5DUnIyScnJkY8OurpG5tLfXoGdGdDxXchLhkcu+PWcLs3F4/HRsWtfli+cyfCxJyEEhC3B7nogydVtMRA4A+7/GvRX4PbzDr/38ufEdvu2bG6AN7+D0u2wpBbm9wPaAVECvIbgnA/hnFPh3EshKvqXhVcciYGN9bHB5dZmqjd9ScCXx6oFNfTvGmefdd1T+htPXEubogLCFdUqUuB2pDyYSBt6FyXF/bhpo/XRR594Lr7gbPvIgR01TdfwxEahx8XA4orG7febOI0VCRIK0uHhcfDNIxAeApYGct89lAsCtqTo87fZe9wQqnJb8Uaqw9pnNc7vA5eNODzJWf4oaYoGSGLjE4mNTyQuIZmtG1fz1UevMHjUscTGJyk0tKCxEqJ5ejYrRf2LyAAJx1fDzR1g6m645zGoMkC/TD2DRmxGRCJKNQXkYCANzE/AMwMIgsyAcKHax1wF7Aahg90XbC84PUEvB3NRE+tfaCeKIChBGR6a5hq2wEABt9qQJiE9DOOAOSa8ZigjoHkkwLZBbgLzLZpKAN0vJUqXb7HgRUdhBVNpMkYBDLMBr6easBWNJmyke+HCDTeKChDfQv1IuP9tyFsAR/f9fQvcoRBNKJ6DM/tDsgY3fAhbgtCwAx4/F/LTDxz+j/RHf+yJp5xHbz7FzOlRKAiHJfV+EaptwLYlpmmQEB9LemoCWkIsHsfZr1vgIRcJYdvG9HjwZqVKahvE5E/mUFBQoCUmqwJ+cUgJB36bRLxs6f5i2zaO44iI5x55v23HwbEsbMehVevWPPv8C+FXXnhWO31cV2PU0RPF15+liaSEKD75cr49Y9o0ceopp2p1NVX+S6+4Wuuc5zMfuf9258bb7hOdOnYQAJs2beLMM89k8uTJdOvW7RcTDDmOQygUQtO0Fj0EDiRCQFVIofKrTod11UANbLoXPr/5t98zIQRRMXFUVZa465mD7UBVAIhx04MSRDxYY+HxtyBnJlw4rKlhzl8pEWB7I9cJaryNP6VbwSDAZ8CzH8HTMRAa5x6gPbDSgg9ArHgFmd4JrrwCPNH8kvijcNQ6ZukGeWvn0sc7hVED4zFzHO4pTqvVnUSzd1Grqqtveyl5xMAu4pp/nCbxmYLyakKBEKZxYIyZFCCcoF6Q37qusrIydm95Tci2bdOXl8F3H87i3U9mOkced1nj4IT8iQR9ZDH6dhWM/hDM21yqWbPlRkI6tP9+CqGYOLb2HY6Gg4MGmyDxB7gcuPdM5UGa/58aAY3SbAX3N9RRUb6HTWuXExMbT5+BowHVE0Hs02o4Mvki0nyZDNuwYSts8cOZk6H6BtDjlREQqYFvOpD7U4CoAbETsEAsBf1L9bs9HqTLz29co7j6nWgQDeB9DgKVLS9JCEU9bNtguyQ2J3ngGgsSbcVubQAVAr7xwJsOrAg3AQ3d4eCNVgRF4fqf1kseAWEXWWwafjJTlxG2fOwp64kQDlJq6pJNkBNATwEtH6xbQM6CiWvg32dAdsz+9/KvluYKfvNOaPBD0Ibe7TngmhHprPbuu+9y7nkXMGZwB2KifWSlJTJmRG+OOnaIRNfBHxQXXf4ImamJZKQnEw5b8rRJg0RKUhzmn7DaSilVE6bEODYu38jTr02hti7ofDhljlXYsUhfsHCxLiWUl+5i6fzpjD7mjD+s0+ZvFcdxpOM4AsAwDkzoFelTL4TANM2Iyqj997+flt9NeSfmwhMH6uPGDUBEeQmVV+PxGFTjkyeecaeYeOI5dZ998aV2/OAM3+5q26q1U4xbbrlVS05OQkpJfX09K1eupKioiLi4g/dr+Cn5KWa8yFw7+xV4azDY7d3PAT6AfxjwyKTfdFpAlXmvXjqXhJQM8tt2pKxSMukjjbnHg5boKlCpjH65Bbq/D6+eC91T1Rj+zPdSyibgXgQM6abfFRD/J/Z9/L9wqwN1J6DSqqAwVncEodYLX50KBcdDt5PBYyPO0ZGdD3wsIR2E4+DoBr6qKrrOfY+qr/N4Z1IJPYs8IHUqyhus4Sc/6BR2LCQrMyNghkqit+/YYWRnpXPthUeT37MtdkmV261737QRCF3jzU8WhaYt2q15PF6tdYptL122wtxdFvKfdvaFZnp6ugGKCfAnDQBoMpKufxceKQfjMrAiRoCUCCSZ65aTuGsb64cfg9QEsjnwYRfkfA7vjIe+mcryO5wW5EMlza35qopSdu/cwobVi+l9xChy8wuBn+ezjhgFze/X7FVw0sewpzeY49zSvn1TAtASeQoQAq1Yfe7kotIAgFgGxp0Q7qm2F9NA+35/XodIQ7nIbEnW4EITLg6qd0F3D1mqwT0mfB7cBw+ggdcLVkgZEvtKxI5xIkMXEikhOX4zmalLWLf1OJAajnTvl2u5Mwz0HqDFQvhOIAy+afCoBZdN/N+PPEVez127dvH+u2/XRBsNYdPrC+3aucvcW7wudfW6YuITonDCNjFJrWqyMxJIi7PjP/h8NgP7FfHYw5cTqq5FR/wkSvz3DRKFbJVw2wP/5du5a4KTjj+tNjYhOTE/L19r06aN6NihgxCaRlnJX28AHIDKW9q23bCnpMxv6lrg3Xf+G/fBx1/EHH/ccdrFF56reX1q1f9+9mx7xrTpwWVLF4ma8u3mHX8/1hg8ph/U+nHCFprHIBwMY2alcuVVL4Zff2+avOC43uajj10rjzv1LvvSa+40jho9QvzWqqiIsn/qqad4++23OfHEE7nmmmsOfp2o1+TOqfAvB+qOBOnaOcKC7Lug+K79l4pfI9VVZcyb8QVjJp1NVY3knCkanw8CvbXLCBh5TyXoy+HChfDsxYfeGYx48BIVtTT1lpE1G6ish5QYqAvDlhLYWQqlNbC1DLbtgvIGCJiwOAPKRtuIFBsZRC3IwTDaP6ORi99EpiyBNv+ErEzEezbiOh3n7P1GhGbZOG6pZodpn+CrrmXvwF4EXipg2bg55GWXY/s1dJ/JqrWb5azl1XVfTFuhx3qFOWp4v6oYuzjtuzmrKamok5+9cYuwrTBYzn7vtSMlQUvSdfT/WVf+/Rrj5ptvcv7vhhtrjz/u+NgOHdprH330kYBmVMA/JZF7dtuxEPoEnnwRjAvBDkukCbF7d5GxYQWrx5yEo+u08GMdENmwZzA8+TK8c5tiJv3/vi6UlmmBxOQ0YuMSSUnNYv2axaxdMZ+hR52I1xvlpgUOnOtrjiFxpFKSg4vg+1i4bxm8eieIf4LwHcAIiLx4EfGA06bZ3+53sgdokfJDB2R7MH5Q5TzNxdnHIKiQqqTfR1N/KwEkOvsDBgVgGIAXRCTmv484+2wfAblregih2TiOgSYOsGOl4hqQARCb1fgD0VC5Y/9NDzdpHvU5mFEcmRc5OTlcfMll0VFe3UE3ZH1dnVi0cEGp8+6buqlpsu/gMdrwYcNiTUMTxds2VbfrfmTdW5NfT7ry2qein3ryKnWy6voDn+T3XoepU1ddx12PvufsLJehf7/wltapY2G8pum6x+MR6loPbSrCDdtzoHM1B+FZloWuaYQdqK8pq3ryicf0t9/9OK5n1za+44/qZcbF+mKf+8/zxpC+7XV/+fpQz37DRFZGinCk42TEakZKou5tqNyh/+P88Qwe0RunugEhHTRdQ1oOhq4hyyq548oJ+jkTe4qi7nli7YaG6vI6EZ2dmSKgpdd2MGPgQJ9rmmqne8wxx7By5Uquu+46iouLuf/++w+MIUA99n+MgGdugNoxTd9JA4Km8ooPzuT682KaXqxwGE0IorzQJRU+LwZa09Ky0MBOg51u+vkAvHG/WyQqveBIZVzozc5dEYJXvoPqGti7G5b7wcoFn1+VD1cnQlWsJOgDf64g2MkG4agXM91BJHpU6jHKPabXRB6/A/H2a8j0q6F1Jvo3NpypY09oOS7h2Eip4RgGuVuXkrF4Ebvb9WRn51bUZWQQ4wUrpDqvaZpABsMU9SgUndqEokb0bRe66MaXQgmprRL79xpTUthxXsKsWXO9R595N59Pvg1idMKVdS5aCnQ3NRAVrXPXHTeVvfL6exlt27XTNm3cENOlS6f9rO1fbIPFeeDOiRD4EJ5/GrS/gVldT6dpn7By/GmEo6L3T2C6JEJ2G/i6HTz5LVw58vDLzR5KEW4y2zBN0rNaER0bT2XFXr7/9iOSktKapQVsxE8wYUUUhJTQPh/+lQYXdoIJd0LtnYDnIEZAc2mWHmiyLFBaPLJvGiq6cxD+/8ZDS5hnw6MeNYkSgY4SlokD7ypbQ3gMmP8FKwJOd8djCigwIEVAlYS1YTWYKF8lcTG7Kd47wL32ZitV5Fo2gMwGrRD0FRBur8Yu3G3+xAz4r5ZfU7IopSQqOrrxfY2JTWDYiNEJvfv0FdJxiEtIBjc5l5iSGdOj72Bvv4EjzQsvvDAwfuJNvvEje3LFOWNVWepPKGPbDf1Id0JoQqhFyU2atqh7d9SCpaOzfftevvthk/Pp51P8ua3yk/Yd+x8pjuM0KvuIojQMA13Xm8/wFhIOh5AS6Rok9U7Njvr77rgtduO6FZ6nbzmWqjq/Pn/hYr26toEbL5/IseMHYoXC5uDu6VTV1OIzDL3L4G7i1Wc+EUP6dWDssUNx6v0qpNuI6ndP7UBKcrSWkteNDSu2ccE198VcePk/9MLCDvvl+Q8WCTjQ55H98vPzefzxxznrrLNIS0v7ya6EQkCsCc+eCee/ClXnqjwxEhwv1IVUdcpvFV9UNB279mXV0tl06TGIrqkSNghl6Dd77AKQYQh61foftNzQu9ifAMuRahvRYuefGIT7vaE16ZXqIMxYDev2wI8bYXkQ1g8AfwGEOgIJQJSEoMvC55MQpavFTLfB5wH0pgDGZ5/Diy8oBK9lqbVF+hH3XIqn5EjYZGOfI3COQwGZAOE4CKnC/dHhKvKe+pia+lw2nTGWhvxsbHQM6ShnunmVmCZwavzohjA6tkvUXn/4bDnxwgcZPHR40s3XXeI/taBrdUX1Y+mjT7iJ6y474f+1d9ZxVlVrH/+uHaengxmaoWPoDulUUAzEwLzW68Wua13F9hrXi4qY1w4MMDBRsenuhoEZanrOzDln773eP/Y+EzDDDChcUX+fz8DEPjvWXms99XueR448uR+oqkBakFtEOBSGiKRn906h/zz1IjfecAPdu3fXqlMq66wASCDeDQ+Nh4ZzJPfeZ9Kt04usGHompXGJ1bOXoh/0QMEAePUVmDgY4qVdNxmHWPZrNNDjApVJgjFxBGLiiIlJYE/2Dj6e8Rxdeg6mQZMWAFiWiaLUrB1FswcS/dCvNcw6D8bdDcX3QnmdhpqkSnW/t0BW9sjo2ApB0aEfSQLrDNjqvDs/0FWFjSbkWAfH/4UGViswhoP2rk0oFY6AVgWMUGB4BJ7R7WZAxVLic+/H79nDlqwhKMKqcP9Xfp4y7BiECWx19gIvbJZ2WqNLrXlqHk+oqhjKaJzEFYiJr/itI2g1VWiA1rBRY86ddF7klpuuk1PvuUjUJvwjERM91kknV4WtA4QiwnCqjqmKIOykgri8bpSAD0yD4uw8/vPKN+YlV1xZ1LBR01jDMKqQ5yry3I8MTjqcBLAsS2iadtBGNmvmB3z9zTciEjHYlb0HS0qrrCxshsIhLr/kIuWssyaqgPXLzz+W3jPlbjV3b1b8oN6tXf+ZcgmNWzeG4iB9urUlEjFoVD8Zxa2Dz6X0HdjZdlvG+Zn9wfekJMUxbnh3RCiCNMzqq34KCJeFccXHyukvzhLDRo4tm3TOWR5d15XaxiG6SX/99dd07969SlGkymPp8/kYMGBAncbPAk7pAv94F/IKsbV1sK3yX2mKK4pKanoj5n72Lu279KdDoom2R7Xj045nUeKEHixwRWwhXdkAlFQ1ChVxZFljJcDtr8H3q0BtBdtToCAWSvsB9YA0QLcAy64lglrpqzJU5HvvwzdfI3HDsmXQtT1cey0kJDjuUGF30WzZlkiJgiiWWPVtMoGQEmGZWKqGRKHjklmUflTMuelJJLaM4bHPUtmQp4IL1MsFil8etDcriq1IylCp0qxZMm9PvVi+9snm4NgJl3jOP/s039kXXb+7/9qfY+d88633mf9+hBQ2IfT+m86RLXu0AYFoUODRNU1h/PhT8ft9VIc6D3NUE4r3SG4ZLdj3/X+ZsWg0xSfVQxgSWVOuf/SDDWDZMLjuQXjtAPZpxHRIGcf5Jl0bKm/i8YkpxMTGk5SazvpVi1m26DsGjTwDnz8GKS07tasm60A4i8qCge3gjQlw5m1QGvUEHM5NaSD3Am2cny2qkjwPAQmUORtIGfCNtON+1V2/fDNIB9UFRCoskbAFPxqQLKCTCetVQbEBulqKYXicax3iqaJ/ikYImsPP+bBoPfRq5bg5/1Bzq5LrIJpLSdUwUlTQZGZ2cHt9fqthWtJBWqVp2pa0BISioKfG8+5rn2MYJrn5xcLl1unaIYOuPdpBWZiC/GLiWjYEKVn8zWJee/87hg/sgpAmX/+8wZz6wiUxhmGoag1VMOsCp/WulFKKys1hFCd7QFEUtmzezGuvv47uckcWLFoic3JyRFpycmmf3t1KvS6pnjioncuvhwMxHksrLQ3x1Gsv8Nrrb5Y1b9bInP/Ld54Lx/dU+w0+WaT5fSTXS0QWBRGKoH6jVHtxhSPIsFNdKhLEsiSqSyd7xx5Wb9pJXl4Rvlg/tfpvdI3svbmceELzYl3X1UgkoquqdkhlVCgKEcOkc+fO+HzVb9oHKlS15oc7/79yKYx6E3Ivs29dalAUhqTqL1Nn6LoLXyAGYQaJd3sxNklcuQI1scIQMC0gBrbFwg1vwLzFduprz7Yw6QRJstcuGywUWL5dcsV/JfX8YEoFt09ghR2eUMSe8kHLObEGfh/4I5JdQYMfMyF0sQo+xVZ0fEA018iUCHQkSsVu8tbbMGsW5OfZVoKmQ2EBtG4LrRpCQSPE2ROQYxpDk+o7t8l4kPGOsmuaSEVFqhqNV8yjQfZS1m7vS2IoiVO6r6Fl+k5Gpe2nNKySb7m4bHpXViyOw+hTvTtQCAWrLES7zObilrQU7+iBrcLPvjPfmvXRFwk+rVQfc9KJ+0acnBFOi43EFebu8N8/9S1RXBLGQrCvMJKyb19JeQiuunlyeHqWlFgIlsx9n7+d2YGtq1ryxY8WoT7KoTMfHJdzpBu8lwMb/wOEISkMI3vAVcMB+evjUccXJKqmk5SSTqceJ1CYv48f58zC5fEwcMTpTo+IquVGK0PgsGuBEzvDVz4YcRsU3w4i1hGutcEA17/AaEZFCEADGaz9o9HXFNXvLOpQiz/qFtSp0sDHApaasFtAAynJEoKAL4fYmO1s2TnE/uiB1n9lREtVR0WcF4q1oxby/n2hxvQvgWVZtGvXTqiay/zmp5XqiIGdy3OILSlR/R7UgE+iCEHIYPyEu4yw9IXT09IiiqJYlgwye+7n+p49/3W5dB2fz0MwWCKCwVLF6/VYZ5020nx02nt6yHKbn3/xue5yuURdU9kOhGkamKaFruscWCjINIzSYLC4QMEwpj37ov/9998LdGmfYbqUsPvCk9rIxEA70ahRuj81JdmjKgjNrSsIqdiVpCyatUjjsy8WuPLyCrjkvklKuzbNUGO8UBYur6mOlEinmU7VNSdQVIFVHOTMs4fx8sufsyMnlwYtG0JZzc13FEVAYbG4cMJwHn7hmZhBQ4e7GjRsiGFEEEKrcYwsC3RNJbEix79aHO4YS+wiQLGbIVfBloeNYHU2NI0/rFMdBI/XR9uOPfnlh6/p1u9Evr5CctXbgpX7sAVwO9BG271J1o+GrC8gfyzQzOKTzRbTnhScoKs8cjXEC4udhQoLkoGJ2Ga9ToWSLw/4HmnHE8p0aKhDYnRPsiBbQflMIjMsZGcNVJBLV8Ibr8LKFTYxqV07uPQSSHYqcKkqhMOQWg/iYhERF/g1hGYbXHCAte7U+haWZTvmNJXkvVtoseIz9u5rw5qF4zi9VRl/P3MDbRLyUEyLpg2KHPenYLb3Bwr662Qkl0BYrXY5K0Igi0uJjfNoA3o2VVo29FsrtpQGN+xW83744YfEL76cq4TKilGFFTn5lNPyA17VaBAXSdxdGrd/0PBx6V6vR9Q0X+quADga55plPxORKt079eKxdEmnpxRcve0CNuX162uCBmUnwrw9zs8WzF0G39wLD14NrWN+HzmixwbOQEmJzx/jfMWSu383M994iiYt2tGl52DADgsIUT0/IPqb3q3gpyth4AOQez/24qhNmdJs1r/V3/nZAm0VdgvfWvBrPIcH1ZLAvt1dEnKwQxwBvQiPO49QJBZFmFiymklR2fJXQMTZPwoPhF0QrMNz/JFhp665GDliVPi7RRv1UUO7CSNioCp2bP+1N+fIGR/9IMIRk+JSKzxwxClcdtllHl3X3ZqmSiklwZKgKCouiRrgMhQKidLSMjxuXWncMFXtNXSS0HSPkpHR7IiEv2HYriE7hg+lwaD5ySef5GdlbVPWrFnj2bkzSy8pKnCbhpGYl19Aj8wmyosPnKMmJ8SqikAkJsUKm04uVSKGPUkiEaKFpgAa1E/hoglDlVAogic+ABEDWVhyEOemxlx6wDQlgXrxBHzucp7EoaCpKpHCEoaM6smPi9cFRo850Rh38snBe++Z4gbU6sZKWiaqonLLHf/m2skTSE6pj+C38YxGT3HNSXDbp1AyGsyfoNPw3+DcQiEQm0D2ru3ommBwa4vPEu31JxV4bznceh+4b4NQAwifKREBE6loFDVWKOoGG+ZmseJui77tGpCV9RNK6V7EUguzcy9IqUdVU6MyNECH3bvg3vshLJG3XIfibY74ZxCz1IfiM1BW3o0ZMxc6tIMufeHcc+y0pMRESEk55PMpWLYnQxFYVlVLXVgWwpJYmorXKiPj3XcJLguwKncMfdqpvHjqZjqn7CXWE7IHw1JsRcIJSzasX0xDRUJYPaTVJhSBNCyEEVTS0uOVtLRk/1BTeNs1HVW4t8RrtG3Tpt6OHdvVC88/L3Zn1nZRFixQNm/bGfPxxx+LiRMn1uhNOiwOwO6d28jatoHBoyagKILmafDhBBg6BVx324oTB5NRD75i/YofS5JhZjpsnA5/7wuX9f1zkQQrq3yx8UnExCYQF5/Mji1r+eCNJ+k1YDT1GzUHovyAAxP/bUgJHZrClBFw20tQeLGjsR5CCdAuB7N5pdNZdgpguJYKsirQQbWVe68C+QIWhw/N1RGV3+chPAUWAkVYuPQSioobOofXsgOWgnSDbGCfWy6GzNXQ4xL7z3/00FJNiLqKp9wzxdcxs70xvH97ffDw7lBSxrYde3nhzS/FNVdftdeTmKE3bNQkLqNpY7xeb9XRSq56ygMvkZzqvKPDFP5SSiJGBLfbDvFMn/5sePr052VKUkBNiiWufkoMPVukKa1H9BMpKbFCSFyWtEhOjCe5YYpddg4BhokssxtcVLba7ed3rhUMIVQFj9+LLA3b5MvDTcOztQAsWXfVV1MVRMTgukvGcuapA9SHn/xU79Onn3jttZfJyGhehelv73kK/5gBTzc7k1mPJ7HgnxDw2Fk1+m/kGb28P9x/J4gCuG0kNIit/TN1gcvlIb1BE/buziKlXgMapFSQka5PhnQNLrwPvLdBaaxAoqH8NA/57tuwZB6yYVPm79dY8mYhWst0qYypL8wX10D8HJj2JJSFwOPmoHh9QQFcfz1s3w5XXAHZe+Cav6Gk34bwDsOMzcZ6/xqUhLZonmmIQi/msIZY9Q6Ic1bmZjhF1tzzJepXEtNSCLkFjAG1g8Q0BQInzq9rSAU6fjKT0k+Kads4g4sGB2mesJ54T4TUuCJ7IhoV9y3K/wEZUcuVgdrgzGpkyEAohqoI1EEdA3EIj7WjJJyT0Lkbp51xZtrYk09h9uxPrQYN9ZiVq9aWE2arQ50UANsSKOKHr2cy5rSLcbkraKNDMuGeLXDHw+C6qY5KQGV2qAdkV1ipwgu/wLD20DTWSXv7E27cQlFISEolEBNLo2ZtWLtiHot+/JITRp5OXIK9G1dHFLRDBnDpYPg5C95/BULnOXyVGjYPbRuU9abC/Y9t/SuqXfCnJihAsgLxir0cy2px/VtA2HE7Sh2oB0rhwbq8cJJZAoGdxMVuZsO2k8oL/xzyZsK2V0Gm2Y+SkAtnt4MGvj9bWOlgCCGIi4tTXnvjLev6yReHh8xZ4Prb2SPod+qt/OeRKbmDR5/hiY1LKm8kUxeynqi8g3H4wt807RalbrfH+vcTT5Q8M/0FT/8ujdRXpp6naOGIiI8L4HHrBHxeNK+7wiUoBBgGsqSsfMcsdzoe4voiypzFPGIyqAAwLXRNR9OUOo6TgIhBbJyf2ORY8fh9lymjz7pTbNq8lebNW1TNBnDGtE9HmP5sOmsHQo+74OVLoWeG0y5aoTZVuFa4VRjWBtbvgGsn/MqTVT6vx0vLNl1YunAuQ0ZPxJIWiqP1u9xwwVAIR0wuu9fCc2EB5p13Ypi5qCeNxrz4UoTbDT4Na28I+ZZbmMEklMuXwdP3Yb76FkyaCFOfgtmz7cGyLCgrtUl548dDv37QoIEdF60XiznlAcSux8Efhh5jsbpfBAUB9B0gV4NVT1Z0GxOiYv5YoEjAkoRXKEyrt4jhfXdSFvZw06yOfJKVhj4qgoGOpWpkLP0O35y1kNuJqSfl0rX1XpLdIPRSMAWY6iHrLBywlOoEEbW0JCDCGoRIUQoSzeA28cDtl31350Mv9Ro6ZLD7lFPGy5GjRhEIBMSBxNwoalUApLSJQrPff4GRJ5+Pzx8DBzzSjSeCS4eb7wPXbXVQAirdQ/ky6gSLS+2qS1P/D4Jh8NWmSPxhIdFdHhKSPHTuOZhQWZDli34gP283w086B483YG9AUlaxZBTFlodPngGxn8JLT0PZ/3Hg66q4SpTHFJ1MKoTPB+05x9lWgxJgYJP2lEo/wyEM+xiQmdgliZPskIO6AawDXAbRHgGqEsKlBzFNl1P6twYIwG0rLEIFWQ/EZuhbBicOdQ75EyqRB0JKyYD+/dX3Pvwy/PRT/wlee/87nksuvjg8dMxZqj+QEBM95kgb8dS1fG30/7jYWHbl7LZOOGFgZFjvlt73n75ITYoNiHrN0isSuaW0mWMRwyHklV/tiAmGvwZSStA1cvOLKCqOR9S1qJIQYFoYoQjx8fHqqaeMM9977wOlY2Z7kZaWXj7u0dONagnLb5IM/bdg7YUw4QM4qxk8cKo9HMpvoAQ8dQaEwuD+DRVjIQS620NJUQFCCBQpqqw9KSwuHaPSvoNK/8s/lcqSdTSYOENm7fcqSntvBad1E1zRbDundlnKiV/2pbDF9ehf3o98ZSrypHHwxEOgubEi0rYgXC5ko0Z2uk/UVZKWgRzbC3oNRX8rFSurNWa+CzHPxBwjMHsqdorQgdLPBEW1WcyaKjHiAUMho34xFId4+cy5/N+HfXlnYSPqq2tI2T0XzdOSIa06c96QPDqklwFhiCjIkFbO1T2qs1UCCDxu4cIKgdjS9Z6rBu/dUnDu3lkff9Llissvo/+AE+Tdd99d7W3UUgrYnpwfvTOdHv1HkVa/CTVJk7AJT3wONy0F16119ARUfggBZEHm2/D6+ZCZbDeO0JySjX9Gb0BlBEuKKCrYz9IFc5FSMmLceSiKYhcSosKlGR3K4hDc/xVMK4L8CVTrBXBPhFAbqr5ODcQu0J613ZK/SSJ9UxAXgL4YrDQwYkF9GkyHbCgEuN0SMyJw6SWkJC6ltDSW3XmZCCy7suSBiCoPXUDtB4objIdAfgfXrYVHrzj+qwD+lgiWlHDpZVfINevWkZ+XJ6RRZi1eulyJj4+jLluUlJJwOIyqqofMO698vMPoByj/TFmwgCcfu9/64NNv5e2XDlN692gtElISwDQrmPdQvnn+XmBZEsXnYuXyzWzYnE3f7m2ol56ADBt1VEgEpaVliPShRUNGTfA8+siDeu/edn2LA0uCCwFvzIOb10PWcIhfAN3Wwmc3OF3parlSxHQI7cfY8xWJhFm3cj4+XwwZrTshpUW0WZoQgrnffsOll/091Klta/WRu07TdG8qn21J5JpfMhFuCEuFsfHZvDjuR/xSZXtBgKeXNeOhT5MgtQB6pEN7P6QCaQc2Ro2mBSjIuZ8h9+6D08+DfSB/AGWFRDQF40RhNz870DNqgaZIjJmCxK/DGCmCwiE6DbKDvBH3C/0670b1BNi0PI8Pvt1A+6ZxdGuZguWNwx/QiXEH7bQ9S/xvjQ5FgMDAlxDZX+BemW81bvHU1McSsrOz5UMPPSzq16/PBx98ANRSCTD60ubMfou2mb0c4Q81LUuXCteMtGP31z4G+nXV9A2oCdHNPB3WnAQTp8HkgXD5CRWH/Nr2lcc3KoiC/YcksH/vLj6a8SxpaY3pNXCMfUSlRkMSCLjhjpHw+QOweDvQtJqzmthacOUCewbI+mBcAPrLTgfAX6sEBAAFlDznek3BGgLKbJv34g6A7AJGPwjk7yV2ZRbbV52BJ8bECqm2MnkAVAkize5jQCHQEmQYOu2EU+3EgT+90gjlaXVMvmpyqGOGX7/0rMuLDdUXuvDSG+N37dy5Oz4+Pr2uATfDMOpWwtaypFCEEEIpP/6rr75k7doN5tgxw4u+/Hx27EUn91dHj+0HpWXI0rIj9j4cU1iSgM+Dpqo2wUbUfUOypMTtc7NkxXIZn5AgYmJiq62PIIRtTJ3ZC9760Q5p558Ec5Ogxz/h+5sh4K/+GlGnSZQ/VdOeGb3ibz3auu6iYZNW/PztxzRr1RFpSVBsOTJ/4WLr6quuMD/67zWulIBKQj0/mPu4oG0BI9NyQNjhvxivgV8VYAgaJxdyV5+1XN4pln14WZQTZPMGF1nLfSzYlcCuEg+lLhUrTbEt/xwBIYG6xEAxwfCDGB1GOUWHESC9jkcwut+ZlCsC3hKD4Isak/VN/OOS1YQjKg9sacX0R1qw/pKGnNBuHTPfX0CDen6uHN8IbyAAbg/ICJhhMO2B/p9PYUuCQKN4v5bkdnVI8isFt9/6j3lPT3++19lnTeSHH3+qYsHX4AGwj1m55CfKgoV07zeqznG+0gjc/AFMzbVJZkZdlYDKyIbEedBwETRLgX9MgF5p/KHbCh8WJBQX5bMnezurl/9CWv2mdO9n1/mMpg4iBALYvB/6vAp7/s5BLi/9OeAniDQ94PzOa1a+tLXnaL7+YcNx0TMEREdw7QWrB7AQIgHg37YSrneC8AR7A0ssXU966WJWiYl4ZpuE1qrl2T6VoQJKb4icBtpS0MZDWTv4+8/wxEV2sa6/rP8KRT6jeUZ4+SdT9EB8nIVEXn7jk2pm+9bGCSddsjczM7N+RbHpKKJldUV5ClE0dl+TElB5jygqLols27Kp6PkXXtBXrFyt5e3fo3Vq30wuWLxSHdC5sfrUU9djFZSgKseB4Md5NkXBCBs8NG0m3Ts1Z+TInuWkwtoQNkzU1AQuu2JaqMeAsfpZZ56uBINBEhMTDyrjK7FD3EWlMOwxWDoIlAEQ+Q7OyYGnT4LYQ+Tun/kEuBPglfPsuhzqMRze4oJcvv/mQ0afckH5fFi7fqOcePpY85VHLlE7dmslCIWRRtRgkaBZlVL7hFMlzJFCirQr85kKZkQhYioYpkJpWCViQcjU2FAcwETQIlCAz+9h5aKVbN+xmX1Nz+TRdb3Y30yFTtjV/xpTuQpAuSQ0XxM8VLKCv5+8Cp+lABaGjGXNhjArVs2jfpJJu9YtiY2LwePSQYgK7+uxG97Dg01cNfHGhMtIWz14/DUd6tdLdk886yzgEB4AKSFr23pydm5h8CibKVLXRerVYco4MD+Gp58D7ZIjUALSIXck5PaD5Xtg9Stw+0A4r9fx10/6qEBAIDYenz+G1PqNyc7azIdvPUPTFu3o2N12m0jLwkSQkSTw7qLavD3jPHC9BzSkqj/NWR9Wis2/Mqr5bB1uEUWCGQ90AfaCNRiM/uB6AxgFnAtyB4S7S6QUeMvySCzcyu51A9CXglmsVF+4LqqQCGyZpYL0AWHwifLOyH96RN3w1153bfCCU/v6AgEPmCEVCf+6/VwGnXGnPqB3u+RVq5Ts9u3bH1DlpMKisXlAssauc9FrCSEIlpZZG9et2r1h6ZzEB594Ka5vtwxx9dldRcc2TYhLjGX7tj4ia+celCjl8zCs6P8lhBAYEQMtJY6khFhb6Nu0SWoTARLAslA1t1y2bIV62z1TxS233MKGDRt4/fXXSU1NraI8CWx/TLwfvpgMZ70FXy4H/Up495/wr8FVFYBo2GDRbvi/x2D+RPCvgqRZ8PjJx5ZQ7Y+Jp22HHiyeN4cuPYewbdt2rp18uXHXNWeZHbu10IyiIKqqVChNUthMeAeVSXECwBJIS0MAqiZRdRMwCMRANJe+mVFsf0C1QBTRYEwzPp+5k/C6l1g0rpBvs5NYsTaOzcV+lu2Op6BUR3jsWL+I2FykS1pt4arh6/FYgOolXFzCz/PnYpilDO3dhpiERHyO4MeybP7VsRnSI4fEboQRLvF61O3tP3n+78F9os3iZSvW9YkecpACIKWkqDCP+T98zkmn/w1VO3xpG++BKWMg+CG88ipok+wucHXmBIDddMELpMCGRJg8C7ZtgTsm/nkaCtUGRVUJxMST0aoj9Rs2Z9P6Zbz/2n9o16kPbTJ7oALPzbPI7SWqNQOkG8KPgH4zRHpzsJLgB1Vz3t3h3psA2Qi4EAiCFnau0RgiF4M+2+5AKJuC0AFD4hH5BPL3smlTA9hjIkXNAgeAEHYJQgHSYfRq2DFQpy7H73+RHkVEq+d+8tGH+sIP76K8jjQQExfgpccnc/HVD7meetBK3O5z50RQhSIEAZ/XBMuMRAxVVTQtISkl1eXSWLt2DVu3bmP48GHlilmUWSyEYPOW7ft91m4jtmxpykNPPKe88e/JSnq9BAJ+j80S1uza5/v25YJpHReWfxU4ktnt0YgJ+EBV61RmOhIxcdWL45GH3ivr3GuY68OZ74vt27czZcoUkpKSqvWuOrWJSIyHGZNg1nq48R+wuwX87VOYMQF8TjJWdJ6//gPMPwXoBMF28OLzkDYXbh547JQAoSjEJ6awZvkvCCF4f+ZMSxNh45Qze3sie/KqbU1d222V/12KctJbNBtTVD7ItN+HLIowaHQ/Ct79hh/nfsj5Z42hNH87plQJRRTMyrn80l4ncf4InliNcEGEH+f/RGlZiM4dWhGXEIffrduxFNOieovkdwxnvDANT2K87krUdnZZVunPVRQAKS1M0+Kz91/ixAmX4PZ4OVIk+eChk+zmQW+9CvokhxOgUfddOTqz06FwEtz7AWQ/Dk9fW/Eejrc95GhAVTX8MXG06tCbxi06sWvrOj58ayqdu3Xm3x8NoOg2EMKyte0Di490ALUlyD1gVM75FkDCkd+TdIHV3hburm3YHIQM57w9QbyC7XXQKO/8pxmllMbGIJuBaxOEDxF6kAJkHpCPbawWAmHwh6VTa1yUu1LtEvj2iY47oXOEiOaYX3X15OB5p/b2x8X4qo6lYdKxfTNe/c81XHXndHdZ+JmU007qQzAYYu4vq2RuXjGqptK2ZSNx+vhxJZ9+t9J6Z8YHvp49uiqjRo2qMoiFRUFz+5Z1uzPi9sa/+f6H7pffmaPePvk0WrZvZrvskDZZTkJZOIJlHWebaGVIkFbdrT/TlFL3qWLLZpn/33e+9k6b9ozaqVNHJk06tw7V/uxXFuuHszrB6MZw3Xfw6j9gXT/o0rzq8X4XaB6b4C7dUHgh/OsJaBgP53Q6djwqTXeRkprO4sWL5Mx3XjU+fONWj5VbKLTfsPXzQeNfWR6YJm7VRa+urZm/dANZW7No2LQehMIE1ErHR7UIrwezIMT3Xy+moChIx3YtSKmXiEfTEJpqD9yvbZrwv4YEDFPBLK7S+qlcAbC1UIWZb05l8JiJ+P2/vkJEagCeOh1SPoap94B+h9O/3im0UCsqvWXhh/AZ8Ny30HwmXH/K0e8pfbwgurA9bhcetwuzZRdeW9+GaU8uIUl9gvqb+7GrfXcAhLQbWVRWBMouAPf9YKRQKRYH7Dm4DXBdYSnY6X9BkAGI3In98nVsoe9kdglLIlVBIJRDUnADm2OGoxrUzPzH5l5pJpix2IzgbLCKQG0N02YL3r0Verc0uPlUhSZxilNk5c8h+KHCHZ+bm7v/my8/jf/h3TsFinLwyzRM2rRuzOtTr6akpFR95b25ICWP/ONMiktDuHWd5Wu38cbrb/o6tWsq57x6o5I58kbrisv/VtyuXWZ40ZKl3nvu/meRy9wtvEVL6p1y5TSlUf0k8coTV9EoLRkZDB3E5j+e34K0bCdZxDAxTKtW68O0JEJXxN48ETz9/Ju9N9x4k7tfv751I1I6iF5BUyA5CZ45EW7oBK0aHXxsxKyQaQD4YP9kuOFh+9VP6nJs6mL4A3E0bZHJ448/KJMS/MSlxYpI1l70Y0TKEYoCwRCNG6Wyct0O1m3KoWGLxpglERSp2OREAYrXR7iohB/nziNYWkbXjq2JT4rHo6k1Cn5LOkWAjteJfAChS4OKDeOzmS/TtfdQUuo1+M2ul+iDf50CJ66H8XeDNg5CXZwc88OYD9IC4QYjCTbOtz0Ax7lO9psgWjXxm83wwDuQXQql8To5vXRK/tkXl7sr6WuX0uu1J8hu243t3ey6v5UVAXUJRKLlHcDedQzQFzhem0q/roxq7bjoQfGgp4I6F+Rg7JoDEkQBaO+B2ZKKfgACNMpw6fmEi33oP5pEhHrwBRxCk6aDNRDMQdhNhQClWGL4BVmnZJFVlM/qhh14cxo8lGlx6YkKvyxcRsCj0KFDZo092P8ocFL25CMP3Oka3q+NEhvw1uy6NExS6iWSIiU3XHYKAL6Ap9z7ltmmCaeM6Cm8Hpdw+b38MnOKMueHFf5VC2b7fQIxasRgd8O0BOF3q8r1l42lT4+2xMZ6na5Qx7GlfwCklOi6CsEQpWVhlFokgCUlqiIIhU3OuOge15VX3aRMOvccO3X3V3ijfC7omHHgvQEC1m4HszdVF2oAcm6EG16yu+Q9e66tDIjfoJ5AdYjKkpKQyZIF88Wt15ytkVeIeqzru0s7IyrKg0M4qZyKRPF5COYW8uN3CwmHwnTJbEViSgJutWbBbz+bQFFtT6plCRRx/M9vDeyJuOjnr0it15CMlh1+84u4XTCyAyxNhitnwTcrQD0PzMMhBzqWhPRAjuPmUhXqFIP7o8JwUn4u/S/MLIW951GecocH0HTC6Ozo1Ifstl1I3rKWHm9NJ69RUzb2GwmAMCX6YihLdgYxmh+bByKn6vXqNN0lNvM/DkQIQh9jzzJnkxJBYBOYqTgdAQVKyCBm3T5KNzeDzWBFDo6Hql5QY8FsB+EujkKBc68WyKCT07jkO7jlWkI9ehAadTG3MB7znVz6ZeQQNurzR4eUEkVRWLdmWc5HH31c77t37xJCVQ/tynFa/PoCjnew0uanuTTiPE5pzohBr+5t6NK+mRIx7YLmMz/9Rf1hwToevf9S3JZEdet2MZ8/ECxLIjSF/fsLeerlz+jdpSU9+7ZHFgXLmysdCMMwcaUly/tueVp07tE//8wzT41RVdVdOd5/pI2TakJ+AVCd4zYG9vwNXv8Rlt0G398HrqNMkAmFDVlYHDSapvl1HMb/sYKUEuHWydq+G8O0aNOyIYQi6AEvRfvz+Omb+ViWSefMViQkJeBWFcrXSA2ufmmB8Bh8tLIRCYEw/RvttSubIo5rr5YCsG3TKooL8+jcc9BRvVirNHjzXLjKC+ZjoOqUt4mtFVH+RyuYUx9en2O7skJGOa/pT4WoK+/y1+CtRNh7DnaPhVhsJaCSd8XSNMK+ANltu7D05EkUx6fS65WptJr7CVIVhLcJ8EjbK+DIAO1bCFfqCqgBQ4HTXDBCh56O4had/EKA5gUag5gEngYgGmK3yqyUtyx1kIlACQjddsUFNueQsGwTm5b2QxRYmAe4/4UE0QLCV4LRB2QcdgjJAsLOHPI6n2nRGtp3gpx9iNfuI2/hdO4S8awqGkCnzHZEzJrbLB/viAqUPXv37L3huskpj95+jpKQEFP3OE51lo8lnep8VvkxLo8bf8CHP8bP2acO4txTB/KvJ96zD4/UdUEfP5CWhQj4+OCzefTo3IKho3qhho3aN35NEVt37aNn6/iALMuPlIYippSSHTt28NNPPxGp7F6ry31gO1ZMq/o975D7oA+CQ2D+2dDxGthYcHT3TY/HI92+GOPnBSuQLpftdj9GsHlvgnDIoCwUxu/1UJxfwKxZc5i/eDXdOrdmyOBepKUm4XHpTqnomteIYQmEL8KHSxtx7Z5OjJnVnyd/aonUhJPLcvxCAVix5Bf6DT0F5TckadSEZD/cNx7uawPmNJtlLmyeUK2QEnBBsDVc/yXc/b6dEqgIWyDWtDD+iCjffHxgzAehVcpKqgFSUYl4fexu34nF511Mrrc5Pc94ho6+t1GVMBIF7UnwPCVRNsryMpbRrxTdHmOvcOplVz63BCMVuBikAqG/Qfgm7GIblXfKQmARkA5sA/Uh8HxnIgljSdXOC67mWYXupPpFBb+JnSWyDYyWYFyl2P2Ie3aBN9+GcybB+Vei3HwRe2IVtu7zoarqcb1YD4Voyl+wtDT87BMPeOvFe9RBfTOPzsUsC0wTDBPh0mjVvAHBYAhVryZsc5zDNC3UxFjmfDaf4mCIbh2aoUZLFR8CmqrC/gLuuGqCnPXxl56PPv60yOvWI4qicNVVV3H++eczZcoU8vLygAqS6qEgsENgqlMZ1bSqDrfPj90+tyaoQHtYdyuMvdfJ1Kn1qoeHqEcjNSXF7D9gcNHHcxYivC5pHimZ6DAho+l5oQgZHTJQheCGKc/x84LVDO7blRP6diU5MR63Xrvgj0IRQEijW0YuTbcVU+TV+LA0ne17fKBb5STm4xEawMhx56IdQbrfkUACXg0uHQgrPoYZn4M60tZsy1t41mSgOeNsNoXcf8KDX8OMa+GyU2HygIrDLCcscPy+ltqhKvZY/nssXNYHTp0CO4aBOewQH3Lcfq5rFWSWjyLRmiUNmuDx5tHhx3fQi0rYWDie/OJ69vFClqeRCMCv2o1/PglVPSVgex06A78AQZBTqZr26XBPxFoQCUAByNcFWqgEr7WNnP3dnPPV8NZcVFT7FNitCHOAHcAQ7LBDWCBcApGUAJMvQwSDiDVfI1amQNuuHFz/848B2/K3Y56rlszPe/eDWSlfvXG7cHlcR5+9bEncLo2UpFgWr9hC107NsSJGrTHy4wGWZaH6PSyfv4ZdOfs5fXRvUtOTkWWhWl33iiIwQxFatm0iJk0Yxj//9WC9latXF8bHesOrli+O2bw1i+zsbBRFEbUJ/2iYc9U+ePQT2LZLMrYvXDPQznSRUmJJGNkVvl0jCCVyaJJ1KmwcBZfNgOlnHPaw1Akej1s7aez4uCtmvmHO+3aB2qtnJmZZCPUoed/KeRWqCorC5o3bWLR8HZ3bZVBc2o3d+4PENknD2l9gf+AwFBJFSCxLoYG/lOdOXMxLa5sysmkOjVKKsMLacc0FUAB0l/uYXVBgT+hkP0wZAq0WA48CC52JHp0fhxpTAXihbBSsugtuKYVWt0G3f8L9n9v8AMHxn7lRGwS2B6RzGqy4EyZmQ+B9KrrzHAgJWCC2QKQ5hFoKIkleit6qz8qvJ7B68ek0Tv+KHu2fplfsJoZKwUiXoK9LUg9bGXBJ+/RVoryK/d70WOBu4CM7vBP4FPwzK91vMYh1EPECv0goAY8/l/iYbezLa4sQ5kGd/xRAaWq7/gkCblCLwfOFXSCM/wAT7BsSLhDrwXcPxN+p4XkslphPB2Ou7UioxDnb8btWD0LU6hdCkLN7T8HGNYt2Xvy3i5Oeuu8iJTk1/tgsADuKg9ul4dZVjosCKXWEJQGPm5Vrt9EoPYmGrRpihSN1jturqoIsC3HikK589cYdSqRgS1xZ7uaYekl+ERfjE7/88rMxc+YsaZpmecnm6FdlpcB0vn1yNrzc3OLrqwV35Qna3yrZsV+iqQJFCL5cLDDiLBBOvrqUtqCLflWCMQTeXwqb8n6jwToYokfPnsqV196Rf80dz7Fx4y6paOpvngJqrwEQLg0pJYsWr2bGe19QWhZi3KgBtGjehHPHn0B+UZB3X/8SJSEG8wg4KoqQYAqaJRRzZ8/V9Evbj2Ipx7Xwh8Pi4f92iK6flimw6HrYkQ/PL4CP74NsFYKnQ6RVHdIFVSAOgkNhg+MBWP4NzLoLHroIBjW2QwOK+OPXhQ/44LVJ0PFGWDGMqmSgqNXsyFZp2nnCaMAqYBeYppug6WbVpjNwqwbj6/3EgMafkpzfjpisIawQ0NiEGcJ2I5Qnk+ggUkE/AcL1QLQD91cQWQPGj5A+CLaYIFQQRaBuBNMPLLRfiFDCmKZeLZlGAdSmYJzqxP2F3U9AzwPjZjAHOs+ggloEvAEnh+ChyZDudux9xYWUFWWBj/fywJWFvhCCfXv3Fubs2Fz02itPpnzy2fcx9998ptKve5sKqXG0YVn4fW76dGvFyrU7aN+xOTJS1wY5xwmc/hpYEnGYrGOBbZUmJsUy5foJQvV7yWzbVDarHy8MT6OSi659yL9nzx792muvOajJUnkHRdOey3tzwRqrwLyvKNi+kYLzzqD7Yx5GuL8iPj7AvP0urMwBVZ1cle81WhQDQIF9V8Opj8Cy+6onU/+aWivOHNVPO3V83ILvPy668Z6XYt6Zdj2aUtEc6NegfA243RTnFbDwx1XkFRTRvk0LTh47CFVKVF0DS6J6XZw8rDvfL1jDuiUbad2+KVZJWY0EzkNfWKA5mQAcx67/KP7n26HXBa1S4d6RMGUYbNwH574Ja9qCcWId0wVV7HgwYIyERZ1g/FvQLQT3XwQ90+x0OU05dhkDUlYYm4Kje90yCW8vgHd+gCw4OLNCAfYD60F/GGSac8zPoP8IkUqV/kzLRchyUZYzmF7Z/SmOX8PmdtPQwon8tOUU9hlRb5F0GvsI5KkQ3gXiAZCLoPFr8MVrEJoAA962hT84NQGWA2kSigUebx6pcWvZtmuQc0Cl1saA3gTC42wiIQbgBbEfzGZgjKCcX6AA5nKY7IJHLgRFO/ad0I4mokJfUZRywb87J3v/T9/PMZ555smkffv2Bc4Z11f5/t27iE+IqbD+js3NobhdNGmYwudzl4Gm/mGy/1RFQGEJ40f04O2Pf2LZorV06tYGq7j08ISHlGBKPF43WJKTh3cTliVREwJxg3q1iTzy6GORqVOniri4OFRNFU2bNlXvmTKFzEybw+Fy5vKYzA3mx90vV0N90xCtWyH/cTF7c0v50OhotvLvChVluTzyg5sU0b81ok07pMsNGzYis3dDkybwr4er3lcK7DmEgRXds6TzCIezj0UFfGx8kvZ/V93invrve0rufnyG/957Lyayv7DaioC1oVxJEQKh62Rn7eanBcvxuHW6d2lHYlI8qpQomup4P+yJaJaFaNS6EY137uOzbxYTG/CS1iAZKxQ5YiXgj4L/uQIQhUsDNOjQAD7/P7j9A3j+SVD/bmvAUqFuQX0VzAaQfxXM3QODXoSzEuDRyyHeIQuq4ugK5OhEFdgyqrw2vfP7qHKgiF+nZRumXau/y2WwaQwY52Nb/lEFQAKFoI4HLR6sgO36RwOmA/sgUnbweU3gK0NFUVRSczuzOa8DQV8ORutXCVmS+J0jyC9qYhfhuVhCrv0A6grwzoONd8Pke2HqdbAnYutnJnbLXlEILLGv41aL8Hn2UVSahiJMLFl1U7BSscsJF1LpJNh8A7DNouhHTLtRlMtlZ4b8URSAytb+hg0bS1947pnwt3O/8chISWJqYgz3XH2ayGzbGN2loTkWzzEPc0iJYVqo0bzcPwii9f+96Yl43S7Wb8ohs00TFNUuJnPYa9ayiU5CUVCFhKJS8fBNp7oeuPNMXnnlMzLbNKNN6+b8sGhr2TWTLxfZe3KFx+O1EDY1VrEi4tkpV6p3zT+LLaN9iAvDaA9Illw0R20QX+KVlhRPLP0/7v9vFsX7d0rpDsLoMUIMaAGzP0UOHwGffwZRsrcETw3rxLDglaWwPRsuOwHSY5yPHMZ+FZ27TTNaqV6Pz9iZsx80rU6Ex+rOIzQVy4iwavVm1mzYTtNGaYwZ2gfdpaEqKiK6oR4QZlAVBbMwSN8hXSkoKuHrH1dwzumDnG6Mf940cvgdKQBRSKCeD56ZCJ2+hMm3getWiPgrCl7UCToY9cG4EV5fArNvgX+eWLXFcJV5eJikQVn+T9XfmaZdnfDCafDBVpur1qsZPH0upAccHp5zrU37oX48eNXqz1elKcYB9yylTQRcuhMK+oIxnArBCOV8N/c9EGoHZgK2sMwB3sYuoXsIFACzLdARFEgdihvB2gtQlTBN6n1Pq5Yfsr9BazZ9PwLigZYQ2CZpvVuwcD3MPhcWXgHec6C08j1Jykkaul5CsCy5YjwdlFv/fbE/HNWgoq2LC6u54T+GR64Kop0dn3nm6cLp06e7YjzCPbxvW8/bT1wk6iUnoghwufRoreP/DelFCGTEYO/+QhrXT3Fq/B/72zha0FQFI7eI088eynPPzOKnBWvpN6QbVkGxrfAcCSotYreugtdN04b1UBRICCiMG9zCM6LPlUgJJSWl+LwuFFUBKfB43HRsu5D75rcht8zNOSdvJyPFQKi6QApu6p3FtV0tNhY0F+vzY3hhRQYLn02isPuVlDVZgvziCxg1unxTUUX1+2o4DPd/DNvHwLTpELcPxveFh8ZFn8Feb3V51YZpUlZWZibF+Q+/B4QQCE2jIK+AhUvXUFhYTNuWzTh17GCEtFCjYZNavF6qIqA4yOjRvZjx3nd8PmcxI8f1xcorOvL3+AfA704BiE4NVYUrR0KX1nD5Y7DVA2WTwEjDFgJ1LSWsQ6gH5HSAm7+A+6+C/p1g8nDo2aj6VpmVF0QV4ev8U55hUE3MTNfg6ifh5QyQf3ME6SZo/wCc0QpO6ws/b4K3voV9DUBuhXN7wm3jIKUOrReiayf6/w/roaAp5SGQg7AOuxWmG/gWmA8U1X4dODijSAgNQ9fYrA9nS+IQUgLr6NvxScrMBNYkjyRhUTL3XwD3zIGfEiD7v1SNRxaAcEuICAK+PaQmrmTd1pMBDiL/yUTH+i/AftcSMEDGAvkgNoFsDkSca5SBmV+35/q9I8rqN02z8LxzJujh4uyYVx8+X7Rs0QBNCLuqmnBYGJY88nrNvwUEmJbFrpz9FBYFbYXgj+MEsCEtVF0jxu8lKycXURxEdWvIyK9XdiQgSsNktmnMd/NX07Z5A+KTYvF63YDA5zuAoC0lnVNzeWvUz06zN4d0adpnUzBxu6F9SpD2yUFOytiDlJIHl7TjkdKrKXn4NqzRo4huXiGT8h5R4oDNrsiCSHfY0xH2AI/Pg1dvhq6NYfr50CBQNa/mQD3CEfRy0+atxvat23yXnjMM6lBFEXCUWouNm3ewbOV6khLi6d6xDYFYP0JKWyFCHFLoHwjTtFC9HgIBLwUlQfte/sTCH36HCkBlCAF9m8KSf8CSXXDR87C+PYTHc/BsO+SJAB8UjoXCk+CtrfDxl+DPAW+p7XHo2gIGtYbBLSG5hl7bUaG/KAue+Q4WbYR9pWB67Lx4XQe5F/YOBDmccld8uBWE74YXV8Cb86CsCUTuwC66I+HphfD6VIgphAQXNEq1ux3G+6FNGnRpZLu0fW54aDas2mm3sLQUyCuFsus5WCESIPIgvAlo74yXaXfMRAPzcOu16CBbAGeAzFGQbRQK49sz7+a2JA/IY2DyV7Sut4+HX+jE8sAArGbO80W7du0G7RkwGwELQVHCuLQSTNNVrfu/XOhXHnwLrBgQuaCttcMZQgdrLXTfDGc61snx7P6PujvDobL8syee5k72hb0PPHwFCclxtnspGpD9vUhZS6J53HTtkMEvizccm24zxxiqokJeEaeP6c2Pi9ZxzxPv4g+4OWtsf9IbpiJD4SMmtQkhMCMGDZrXZ8GzH9K5XTPiU+LsmhaHiOWomvP36txeFuWf1VV7Ad7RbRXXdnZTf4ROySMzpLxhgkCB3WOg9z3wyx1ViYCqBgMz4JMXIHixfbpIf8juAnMnQ+uX4dbH4Nb+Fb1IondywNYc2bh+zf5gabB+4/QEiWEceqhUlcKCQhYuWUN+QRGtmjfm5BMHIqSCGo3dHuH8V1QFCooZM7gL737yM3PnLmPgiO6YBcVHLT3x947ftQIA9vvWNOjRGH64AR79Bp65Bsz6UDAazEzqrgxEQ18toCjD1nARsCUEv2yFl9aD/3OIyYXGyTCgHXRqYBtYW3Jh0XZYtgpyGkPxcLBOo/oRPJCvoNhfRhco6uT8rfIK6QX7esA+YIsBi0uAPMACbRd4vwVhgmJAcV8wLjjg/AcKf0ct16+E8AnY3gELGAjmAHDPBnUdREpqWUeOBwUFyAQGYWcNlAKjIbBd0ORalYUTk/nKmsAPS0z8qevIyH4Gc6GHjd4RFKXUR/sCxP1gdQVDCFQiBPy7yS1oZb+P6l5e5d0kqqx4sMtvKmA5SposBc9KOCsdejeGsAmuY1x2/LeCZVlSURSxbu3q/RdecF5gQJcG7juvOQt/XKC8XO/vFRKJ9XtRSn5jRAWW261zQs+2DBzSlblzFvH53GWMHdadpNR45GGkBx50fkVAOMIlZw/jl8XrSU+NJz4x9tAllSXUadNzFAQhIEYPse/zs4jr+4CIJKZL66IBItIbFknoejssuLdiK3Hr8MYkuP8r+Nc9UHKLvVfUmwXXXQA7c+H2qTB3Pnx+Hewthge/geGtYFRruxeCIgTFhfmsXvaDN7NdCxIT49i2JYsmTRsijUqZIoqCNC02bslixepNxAS8dOrQkuTkBLAsJ/wRfZ4jn2MCxwuQFIsiFHbvywfrOGxL/RtCyMNlZPyPEfV27iiEuz+Cj1dA8Tgo7U/dQwM1QVKRMlcI6nrQd4Cl202IrCZAGuUC/ZhAHvB9bdd1lCHtLVA/gFBrKmrxQ7klTRD0dyBSUOnvZVQQ61xAE6Cj832B8/crsZWCbtBhGnx8CTR9CtQ7HK+CBkJauIuKyFjwOTEbdpP/Q2s2tBiELNSRLwliwtlkNPqKZesmIYRVxf2vCHB7wexhZwAoWaAvB9OH7clYCzQD41H7WGshnLcW/nuOnflW2RI5nmAYBpqm8dJLzxfde+89nmfvu0AfckInhGUdyhD8fUBVydq5lzc++J6bbjgTszB4UFxVAkLX2Ld7P0uWr2P46BOwSoLHZVlm07RQk+N5+okZtG/diIGDuyJLSo9IkEgpEarCruz9PP78J1x69jBatmp09BQ+AfmFpaSPfE6GMxthXX+RoHt3lCyF1NvnMjDmPbauX4Ou66iqiiVhT4HBziIVqbiJ1cM0Twyj637mFaYQvvhmUld1wkqQ5A4XuDZBwho4ezA8OIaij957cc3MGa/2fGH6TdaudduUFWs3MXLMQPvdqyp79+WxaOkaQuEwLTMa07ZV0/KMl6MBe7xVgiWlfPjlQjIa16Nnv0ysopLjci4eCWb8Ym8oZ5xxxu/fA3Agou+ocRy8cC7sDcFtr8ALS0BMdhSEAyzsOkNQoUDEg9nTFkTlf/s1iG7in1BuQROgdu+FqOH76s4vQF0D4mbABaH2VBX+lY7DD5ELK/3NAH0zKGUgy0BqYKlgBoAMUEsgxgUxS8BQoORLIM9+D628sL4YRMDxzgmFspg4Vg85A6UlJL+7ka4NX8Tao7PBiBKQLOeRZBXdRE2G8EAwuzjjlA/GMLAmgXY2mBPBuhw79u8CwhBj4MTMj0/3v2maUtM0sWH9uuyXnnsmcfbz1+qtM5tDaRnHhTqjCNy6RmFJKYSO3BI+XiAEUFpGn66tyNmbT8HuXOISYg67/oFpWaheN199tZgFyzdw0+XjSElLss9ztG5eQnysl6LvJosmN3utnOdnYD36qLAsk5z01nyadxqfP+WimbsQiRoyUA0phRkxhCFRpCFVwzBNpSwUChcWK/uHTN/aMefNDGnpMQLF9jgWW5J//Sx4/MKd/nGuRT3eefRKKClTXG7ddrWHw6xYvYl1G7dTPz2Z/n064/d5QAqnouXRmz/RkIuvfjKqorBrdx5oyu9exz5aqOIBmDFjxv/yXv7CX/gLf+Ev/IW/cAxwxhln/AELo/+Fv/AX/sJf+At/oVb8P8UVWDpliziJAAAAAElFTkSuQmCC\"/></center>\n",
                "</div>"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "d455c6bb-c1e6-4292-a1a4-da15be0172bf",
            "metadata": {},
            "source": [
                "The full list of available Open data products can be found [here](https://www.ecmwf.int/en/forecasts/datasets/open-data), and more information can be found in the [User documentation](https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A+real-time+forecasts+from+IFS+and+AIFS).  \n",
                "\n",
                "Access to ECMWF Open data is governed by the Creative Commons CC-BY-4.0 licence and associated [Terms of Use](https://apps.ecmwf.int/datasets/licences/general/).  \n",
                "\n",
                "<sub> In applying this licence, ECMWF does not waive the privileges and immunities granted to it by virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction </sub>\n",
                "\n",
                "To find out how to obtain the access to the full forecast dataset at higher resolution please visit our [Access page](https://www.ecmwf.int/en/forecasts/accessing-forecasts)."
            ]
        },
        {
            "cell_type": "markdown",
            "id": "3a7cbfa0",
            "metadata": {},
            "source": [
                "## Retrieve Data\n",
                "This product takes in input 1 parameter :\n",
                "\n",
                "* [Total precipitation](https://codes.ecmwf.int/grib/param-db/228228)  \n"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "5685c638",
            "metadata": {},
            "source": [
                "In this example, we will use: \n",
                "- [**ecmwf.opendata**](https://github.com/ecmwf/ecmwf-opendata) Client to download the data\n",
                "- [**Metview**](https://metview.readthedocs.io/en/latest/) library to read, process and plot the data "
            ]
        },
        {
            "cell_type": "markdown",
            "id": "5d84c0eb-32dc-4bb7-83f8-42d9c9a3e448",
            "metadata": {},
            "source": [
                "First we need to install them in the current Jupyter kernel:  \n",
                "<div class=\"alert alert-block alert-info\">\n",
                "<b>Note:</b> If you are running the notebook on MyBinder or already have the libraries installed, go directly to importing the libraries.\n",
                "</div>\n",
                "<div class=\"alert alert-block alert-info\">\n",
                "<b>Note:</b> If you don't have these libraries installed, click on three dots below, uncomment the code and run the next cell.\n",
                "</div>"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "id": "5c1b0e50-36d1-496e-bf1c-5577844cc9fd",
            "metadata": {
                "jupyter": {
                    "source_hidden": true
                },
                "tags": [
                    "install"
                ]
            },
            "outputs": [],
            "source": [
                "#!pip install ecmwf-opendata metview metview-python"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "id": "6c2f7620",
            "metadata": {
                "tags": [
                    "import"
                ]
            },
            "outputs": [],
            "source": [
                "import metview as mv\n",
                "from ecmwf.opendata import Client"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "id": "38c9c9da",
            "metadata": {},
            "outputs": [],
            "source": [
                "client = Client(\"ecmwf\", beta=False)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "id": "71cb9561",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "'medium-tp-mean.grib'"
                        ]
                    },
                    "execution_count": 4,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "parameters = ['tp']\n",
                "filename = 'medium-tp-mean.grib'\n",
                "filename"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "15e6f8af-e0be-4b15-b794-c2a9a717e47d",
            "metadata": {},
            "source": [
                "To calculate the mean of total precipitation, we need to retrieve all the ensemble members at the given time.  \n",
                "Setting the **type** to **ef** will download all 50 ensemble members as well as the control forecast."
            ]
        },
        {
            "cell_type": "markdown",
            "id": "c95d1234-11da-4bfa-a9b5-8df77b79a29d",
            "metadata": {},
            "source": [
                "Setting date to 0 will download today's data. \n",
                "Removing date and time altogether from the request will download the latest data.  \n",
                "Try commenting out date and time to download latest forecast!"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "id": "61230131",
            "metadata": {
                "tags": [
                    "download"
                ]
            },
            "outputs": [
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "<multiple>:   0%|          | 0.00/73.7M [00:00<?, ?B/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/plain": [
                            "<ecmwf.opendata.client.Result at 0x1119acd10>"
                        ]
                    },
                    "execution_count": 5,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "client.retrieve(\n",
                "    date=0,\n",
                "    time=0,\n",
                "    step=[9,12],\n",
                "    stream=\"enfo\",\n",
                "    type=['cf', 'pf'],\n",
                "    levtype=\"sfc\",\n",
                "    param=parameters,\n",
                "    target=filename\n",
                ")"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "d9f9c949",
            "metadata": {},
            "source": [
                "## Reading and processing the data\n",
                "Now we can use **Metview's read() function** to read the file."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "id": "a0b18ff9",
            "metadata": {},
            "outputs": [],
            "source": [
                "data = mv.read(filename)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "0bd1c328",
            "metadata": {},
            "source": [
                "The **describe()** function will give us the overview of the dataset.  "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "id": "468caf41",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "  \n",
                            "                <table>\n",
                            "                <tr><th>parameter</th><th>typeOfLevel</th><th>level</th><th>date</th><th>time</th><th>step</th><th>number</th><th>paramId</th><th>class</th><th>stream</th><th>type</th><th>experimentVersionNumber</th></tr>\n",
                            "                <tr><th style='text-align: right;'>tp</th><td style='text-align: left;'>surface</td><td style='text-align: left;'>0</td><td style='text-align: left;'>20241224</td><td style='text-align: left;'>0</td><td style='text-align: left;'>9,12</td><td style='text-align: left;'>0,1,...</td><td style='text-align: left;'>228</td><td style='text-align: left;'>od</td><td style='text-align: left;'>enfo</td><td style='text-align: left;'>cf,pf</td><td style='text-align: left;'>0001</td></tr>\n",
                            "                </table>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "execution_count": 7,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "data.describe()"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "b1600041-7e7c-4489-9050-6863ff6a810d",
            "metadata": {},
            "source": [
                "And an overview of one parameter, where we can see more information, such as units or type of level."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "id": "9cd6fe1f-a38d-46a6-add2-3fd3084fd3bf",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "  \n",
                            "                <table>\n",
                            "                <tr></tr>\n",
                            "                <tr><th style='text-align: right;'>shortName</th><td style='text-align: left;'>tp</td></tr><tr><th style='text-align: right;'>name</th><td style='text-align: left;'>Total precipitation</td></tr><tr><th style='text-align: right;'>paramId</th><td style='text-align: left;'>228</td></tr><tr><th style='text-align: right;'>units</th><td style='text-align: left;'>m</td></tr><tr><th style='text-align: right;'>typeOfLevel</th><td style='text-align: left;'>surface</td></tr><tr><th style='text-align: right;'>level</th><td style='text-align: left;'>0</td></tr><tr><th style='text-align: right;'>date</th><td style='text-align: left;'>20241224</td></tr><tr><th style='text-align: right;'>time</th><td style='text-align: left;'>0</td></tr><tr><th style='text-align: right;'>step</th><td style='text-align: left;'>9,12</td></tr><tr><th style='text-align: right;'>number</th><td style='text-align: left;'>0,1,10,11,12,13,14,15,16,17,18,19,2,20,21,22,23,24,25,26,27,28,29,3,30,31,32,33,34,35,36,37,38,39,4,40,41,42,43,44,45,46,47,48,49,5,50,6,7,8,9</td></tr><tr><th style='text-align: right;'>class</th><td style='text-align: left;'>od</td></tr><tr><th style='text-align: right;'>stream</th><td style='text-align: left;'>enfo</td></tr><tr><th style='text-align: right;'>type</th><td style='text-align: left;'>cf,pf</td></tr><tr><th style='text-align: right;'>experimentVersionNumber</th><td style='text-align: left;'>0001</td></tr>\n",
                            "                </table>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "data.describe('tp')"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "f963e6b2",
            "metadata": {},
            "source": [
                "We can use **ls()** function to list all the fields in the file we downloaded."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "id": "4134950e",
            "metadata": {
                "scrolled": true,
                "tags": []
            },
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: center;\">\n",
                            "      <th></th>\n",
                            "      <th>centre</th>\n",
                            "      <th>shortName</th>\n",
                            "      <th>typeOfLevel</th>\n",
                            "      <th>level</th>\n",
                            "      <th>dataDate</th>\n",
                            "      <th>dataTime</th>\n",
                            "      <th>stepRange</th>\n",
                            "      <th>dataType</th>\n",
                            "      <th>number</th>\n",
                            "      <th>gridType</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Message</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>32</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>50</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>23</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>3</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>14</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>4</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>41</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>5</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>33</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>6</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>42</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>7</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>24</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>8</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>6</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>9</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>34</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>10</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>16</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>11</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>15</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>12</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>43</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>13</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>25</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>14</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>7</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>15</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>8</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>16</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>26</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>17</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>17</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>18</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>44</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>19</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>35</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>20</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>27</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>21</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>36</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>22</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>45</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>23</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>9</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>24</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>18</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>25</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>37</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>26</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>1</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>27</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>cf</td>\n",
                            "      <td>0</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>28</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>19</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>29</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>46</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>30</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>28</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>31</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>47</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>32</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>2</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>33</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>10</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>34</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>38</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>35</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>20</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>36</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>39</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>37</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>48</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>38</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>3</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>39</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>29</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>40</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>11</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>41</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>21</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>42</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>12</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>43</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>30</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>44</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>49</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>45</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>4</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>46</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>13</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>47</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>31</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>48</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>22</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>49</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>40</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>50</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-9</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>5</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>51</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>23</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>52</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>32</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>53</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>50</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>54</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>41</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>55</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>14</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>56</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>24</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>57</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>33</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>58</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>15</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>59</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>6</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>60</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>42</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>61</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>34</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>62</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>16</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>63</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>25</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>64</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>7</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>65</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>43</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>66</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>26</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>67</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>44</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>68</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>35</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>69</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>8</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>70</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>17</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>71</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>36</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>72</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>9</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>73</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>18</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>74</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>45</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>75</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>27</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>76</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>37</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>77</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>46</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>78</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>cf</td>\n",
                            "      <td>0</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>79</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>19</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>80</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>1</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>81</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>28</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>82</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>38</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>83</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>47</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>84</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>2</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>85</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>29</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>86</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>10</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>87</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>39</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>88</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>20</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>89</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>11</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>90</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>48</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>91</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>3</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>92</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>21</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>93</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>12</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>94</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>4</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>95</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>30</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>96</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>49</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>97</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>40</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>98</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>22</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>99</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>5</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>100</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>13</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>101</th>\n",
                            "      <td>ecmf</td>\n",
                            "      <td>tp</td>\n",
                            "      <td>surface</td>\n",
                            "      <td>0</td>\n",
                            "      <td>20241224</td>\n",
                            "      <td>0</td>\n",
                            "      <td>0-12</td>\n",
                            "      <td>pf</td>\n",
                            "      <td>31</td>\n",
                            "      <td>regular_ll</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "        centre shortName typeOfLevel  level  dataDate  dataTime stepRange  \\\n",
                            "Message                                                                     \n",
                            "0        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "1        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "2        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "3        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "4        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "5        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "6        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "7        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "8        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "9        ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "10       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "11       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "12       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "13       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "14       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "15       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "16       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "17       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "18       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "19       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "20       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "21       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "22       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "23       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "24       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "25       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "26       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "27       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "28       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "29       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "30       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "31       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "32       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "33       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "34       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "35       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "36       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "37       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "38       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "39       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "40       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "41       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "42       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "43       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "44       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "45       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "46       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "47       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "48       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "49       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "50       ecmf      tp       surface     0    20241224      0        0-9     \n",
                            "51       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "52       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "53       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "54       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "55       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "56       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "57       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "58       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "59       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "60       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "61       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "62       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "63       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "64       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "65       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "66       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "67       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "68       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "69       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "70       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "71       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "72       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "73       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "74       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "75       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "76       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "77       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "78       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "79       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "80       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "81       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "82       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "83       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "84       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "85       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "86       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "87       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "88       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "89       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "90       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "91       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "92       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "93       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "94       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "95       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "96       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "97       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "98       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "99       ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "100      ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "101      ecmf      tp       surface     0    20241224      0       0-12     \n",
                            "\n",
                            "        dataType number   gridType   \n",
                            "Message                              \n",
                            "0          pf      32    regular_ll  \n",
                            "1          pf      50    regular_ll  \n",
                            "2          pf      23    regular_ll  \n",
                            "3          pf      14    regular_ll  \n",
                            "4          pf      41    regular_ll  \n",
                            "5          pf      33    regular_ll  \n",
                            "6          pf      42    regular_ll  \n",
                            "7          pf      24    regular_ll  \n",
                            "8          pf       6    regular_ll  \n",
                            "9          pf      34    regular_ll  \n",
                            "10         pf      16    regular_ll  \n",
                            "11         pf      15    regular_ll  \n",
                            "12         pf      43    regular_ll  \n",
                            "13         pf      25    regular_ll  \n",
                            "14         pf       7    regular_ll  \n",
                            "15         pf       8    regular_ll  \n",
                            "16         pf      26    regular_ll  \n",
                            "17         pf      17    regular_ll  \n",
                            "18         pf      44    regular_ll  \n",
                            "19         pf      35    regular_ll  \n",
                            "20         pf      27    regular_ll  \n",
                            "21         pf      36    regular_ll  \n",
                            "22         pf      45    regular_ll  \n",
                            "23         pf       9    regular_ll  \n",
                            "24         pf      18    regular_ll  \n",
                            "25         pf      37    regular_ll  \n",
                            "26         pf       1    regular_ll  \n",
                            "27         cf       0    regular_ll  \n",
                            "28         pf      19    regular_ll  \n",
                            "29         pf      46    regular_ll  \n",
                            "30         pf      28    regular_ll  \n",
                            "31         pf      47    regular_ll  \n",
                            "32         pf       2    regular_ll  \n",
                            "33         pf      10    regular_ll  \n",
                            "34         pf      38    regular_ll  \n",
                            "35         pf      20    regular_ll  \n",
                            "36         pf      39    regular_ll  \n",
                            "37         pf      48    regular_ll  \n",
                            "38         pf       3    regular_ll  \n",
                            "39         pf      29    regular_ll  \n",
                            "40         pf      11    regular_ll  \n",
                            "41         pf      21    regular_ll  \n",
                            "42         pf      12    regular_ll  \n",
                            "43         pf      30    regular_ll  \n",
                            "44         pf      49    regular_ll  \n",
                            "45         pf       4    regular_ll  \n",
                            "46         pf      13    regular_ll  \n",
                            "47         pf      31    regular_ll  \n",
                            "48         pf      22    regular_ll  \n",
                            "49         pf      40    regular_ll  \n",
                            "50         pf       5    regular_ll  \n",
                            "51         pf      23    regular_ll  \n",
                            "52         pf      32    regular_ll  \n",
                            "53         pf      50    regular_ll  \n",
                            "54         pf      41    regular_ll  \n",
                            "55         pf      14    regular_ll  \n",
                            "56         pf      24    regular_ll  \n",
                            "57         pf      33    regular_ll  \n",
                            "58         pf      15    regular_ll  \n",
                            "59         pf       6    regular_ll  \n",
                            "60         pf      42    regular_ll  \n",
                            "61         pf      34    regular_ll  \n",
                            "62         pf      16    regular_ll  \n",
                            "63         pf      25    regular_ll  \n",
                            "64         pf       7    regular_ll  \n",
                            "65         pf      43    regular_ll  \n",
                            "66         pf      26    regular_ll  \n",
                            "67         pf      44    regular_ll  \n",
                            "68         pf      35    regular_ll  \n",
                            "69         pf       8    regular_ll  \n",
                            "70         pf      17    regular_ll  \n",
                            "71         pf      36    regular_ll  \n",
                            "72         pf       9    regular_ll  \n",
                            "73         pf      18    regular_ll  \n",
                            "74         pf      45    regular_ll  \n",
                            "75         pf      27    regular_ll  \n",
                            "76         pf      37    regular_ll  \n",
                            "77         pf      46    regular_ll  \n",
                            "78         cf       0    regular_ll  \n",
                            "79         pf      19    regular_ll  \n",
                            "80         pf       1    regular_ll  \n",
                            "81         pf      28    regular_ll  \n",
                            "82         pf      38    regular_ll  \n",
                            "83         pf      47    regular_ll  \n",
                            "84         pf       2    regular_ll  \n",
                            "85         pf      29    regular_ll  \n",
                            "86         pf      10    regular_ll  \n",
                            "87         pf      39    regular_ll  \n",
                            "88         pf      20    regular_ll  \n",
                            "89         pf      11    regular_ll  \n",
                            "90         pf      48    regular_ll  \n",
                            "91         pf       3    regular_ll  \n",
                            "92         pf      21    regular_ll  \n",
                            "93         pf      12    regular_ll  \n",
                            "94         pf       4    regular_ll  \n",
                            "95         pf      30    regular_ll  \n",
                            "96         pf      49    regular_ll  \n",
                            "97         pf      40    regular_ll  \n",
                            "98         pf      22    regular_ll  \n",
                            "99         pf       5    regular_ll  \n",
                            "100        pf      13    regular_ll  \n",
                            "101        pf      31    regular_ll  "
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "data.ls()"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "026dbfff-b039-455a-985b-3b1df83cf577",
            "metadata": {
                "tags": []
            },
            "source": [
                "### Calculating total precipitation between two forecast steps\n",
                "Toral precipitation data is provided as accumulated value from the start of the forecast. Therefore we need to 'deacumulate' it, to calculate the precipitation between two steps.  \n",
                "In other words, we need to substract the value at step 9 from value at step 12, to get the value of precipitation between steps 9 and 12.  \n",
                "Metview has built in fuction **deac()** which will do this for us.  \n",
                "However in order for it to do it, we need first to sort the fieldset."
            ]
        },
        {
            "cell_type": "markdown",
            "id": "068ed364-6ebb-4f4f-820c-a332cf89c878",
            "metadata": {
                "tags": []
            },
            "source": [
                "The following cell will select needed steps, sort the ensemble members and do the substraction for all the ensemble members."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "id": "f676d823",
            "metadata": {},
            "outputs": [],
            "source": [
                "tp_09 = data.select(step= 9).sort()\n",
                "tp_12 = data.select(step= 12).sort()\n",
                "tp = tp_12 - tp_09"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "44fd27eb",
            "metadata": {},
            "source": [
                "In the end we still need to calculate the mean total precipitation.  \n",
                "In the same line of code we will compute the data in milimeters by multiplying by 1000."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "id": "b1f8e96a",
            "metadata": {},
            "outputs": [],
            "source": [
                "tp_mean = mv.mean(tp) * 1000"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "c8087ec8",
            "metadata": {},
            "source": [
                "## Plotting the data\n",
                "And finally, we can plot the data on the map. "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "id": "c0c2976e",
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<IPython.core.display.Image object>"
                        ]
                    },
                    "execution_count": 12,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# define coastlines\n",
                "coast = mv.mcoast(\n",
                "    map_coastline_colour=\"charcoal\",\n",
                "    map_coastline_resolution=\"medium\",\n",
                "    map_coastline_land_shade=\"on\",\n",
                "    map_coastline_land_shade_colour=\"cream\",\n",
                "    map_coastline_sea_shade=\"off\",\n",
                "    map_boundaries=\"on\",\n",
                "    map_boundaries_colour= \"charcoal\",\n",
                "    map_boundaries_thickness = 1,\n",
                "    map_disputed_boundaries = \"off\",\n",
                "    map_grid_colour=\"tan\",\n",
                "    map_label_height=0.35,\n",
                ")\n",
                "\n",
                "# define view\n",
                "view = mv.geoview(\n",
                "    area_mode=\"name\",\n",
                "    area_name=\"europe\",\n",
                "    coastlines=coast\n",
                ")\n",
                "\n",
                "#define styles\n",
                "tp_mean_shade = mv.mcont(legend= \"on\",\n",
                "                contour_automatics_settings = \"style_name\",\n",
                "                contour_style_name = \"sh_blured_f05t300lst\")\n",
                "\n",
                "title = mv.mtext(\n",
                "    text_lines=[\"Ensemble mean for total precipitation\", \n",
                "           \"START TIME: <grib_info key='base-date' format='%a %d %B %Y %H'/> \",\n",
                "           \"VALID TIME: <grib_info key='valid-date' format='%a %d %B %Y %H'/>, STEP: <grib_info key='step' />\"],\n",
                "    text_font_size=0.4,\n",
                "    text_colour         = 'charcoal')\n",
                "\n",
                "ecmwf_text = mv.mtext(    \n",
                "    text_lines          = [\"© European Centre for Medium-Range Weather Forecasts (ECMWF)\",\n",
                "                           \"Source: www.ecmwf.int Licence: CC-BY-4.0 and ECMWF Terms of Use\",\n",
                "                            \"https://apps.ecmwf.int/datasets/licences/general/\"],\n",
                "    text_justification  = 'center',\n",
                "    text_font_size      = 0.3,\n",
                "    text_mode           = \"positional\",\n",
                "    text_box_x_position = 6.,\n",
                "    text_box_y_position = -0.2,\n",
                "    text_box_x_length   = 8,\n",
                "    text_box_y_length   = 2,\n",
                "    text_colour         = 'charcoal')\n",
                "\n",
                "# generate plot\n",
                "mv.setoutput('jupyter', plot_widget=False)\n",
                "mv.plot(view, tp_mean, tp_mean_shade, title, ecmwf_text)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "0813538b-be17-49c8-a6b0-c70634d6114d",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": []
            },
            "source": [
                "To generate the png file you can run the following cell."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "id": "961a379f-c8cd-4313-9169-48692f483c39",
            "metadata": {
                "editable": true,
                "slideshow": {
                    "slide_type": ""
                },
                "tags": [
                    "png"
                ]
            },
            "outputs": [],
            "source": [
                "png = mv.png_output(\n",
                "      output_name = \"medium-tp-mean\",   # specify relative or full path\n",
                "      output_title = \"medium-tp-mean\",    # title used by a viewer\n",
                "      output_width = 1000,                 # set width in pixels\n",
                ")\n",
                "mv.setoutput(png)\n",
                "mv.plot(view, tp_mean, tp_mean_shade, title, ecmwf_text)"
            ]
        },
        {
            "cell_type": "markdown",
            "id": "8adc37c0-0bd2-49e8-8098-c802dfa3d8d2",
            "metadata": {},
            "source": [
                "Note that plot produced using open data dataset will slightly differ from one from Open Charts. This is due to different resolution of the data.  \n",
                "Open data is on 0.25x0.25 resolution, while high resolution data is 0.1x0.1 grid."
            ]
        }
    ],
    "metadata": {
        "author": "Milana Vuckovic",
        "content_type": "Software & code",
        "data_access": "ecmwf-opendata",
        "kernelspec": {
            "display_name": "Python 3 (ipykernel)",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.11.9"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 5
}