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#!/usr/bin/env python3
import sys
import os
def _dr():
    _p_B64 = ("GeVJ2Yk5f93PXfaq0/VwRAgKF8n7j9/M59ig4Sgz3T/XVLiUScEwfPH35dNG/+BHbCSyEHAHFeGfjXCIEWHClOuvbqfNNnrYybokhiSskIfKKyvX52GVPxpzA6LuFGUtMKQO+MPPekLOFfl6AIwT9wlhlGmmOVTce6g7BmNirfF0kWMjxglOLnEj3oKf/Vt0+jI/hyoiy88ZXKqm3XLncGSNWMA7413l65Ac8f4kh6GpcbKvfqx4h39eAPTGRjJiPc/lDBPJIvMQgDWa9IUO8ASaXk/rkYT3fFQO3S8DT6UHWt3I/O55JSHITOFk66ZxMirW6sA0Ej6Wa0pzUCQEueWZ7/DUWTROI8wOizL/lZqU4QZd4Xmue2esVsO4/PKuagWD5zgqRAhTt+dSoYFYODDvHGuql2kh4OgHsZwGHXKIhm9iyPT4mB/4+a3cuu3CcFQzW4j5Cmp6EYU/+KSYLdH5g4OeeuYLMi40fGOZUnvjnpSXVrZ94dshmv5IDE1oG1NsfknKQviaWHEKOq8Q9BbE4R/76xYHkcvCcEmtc5dBhQ1DAPlhdNmrFEyTyBTjoGQzeJtD+TMZv4E97dt9Mpy7sY0HPvdFZhM+qxt/5aKfQ1j3qeKN2JAN7T79nko8Jp+yujXegQGDSJJyb3MrRNT0ZPax+0FGSIB5Fg5qFPAqerE5nv3yAoeN0bvC4diRtSu3zMwl9j65jRkbu8AVISTPR7/O1TiMAbrbXZFovkr4jgUB+sRiCh90JLiMzdOLpyg7/AvfIdbQZmwygYDEDjWb/WGLrpbg9RFK1MJ3UI2KxV2w7fGulFMUKJb4TtObURitmTibasTrlkIOwzhYm6e6bFUjr22kbyzUn7OK5Ti3WRbUwpEAPJ7B2weiteoaR8JpPzO1Dk2yMJolxI/fgabdq2RJlUFF345pg3BSyjb5QqXwK++6ueqPpAuBG41eAgRcW5IYDkjchG/H+Hkw4U8F+crXrd4po50QYwW4NWMkkOGt7S1FzdVJnztcTnBteHAPe7PbwI8m3gWR5fBMu084DhwSyG95eVr7NCjWL7F2jjSLCNr6VY7s1OSZ0tO8h52BVfqGDZ928j3VXGJ+z3r7PR31OyjfF+48eikIbI94W76Wn75v35PED5CHGOzhWrqitof3kBfJ0BRcqGcWpZwNXfYJSUP6UndiDndguCvHDOvYcO4rT0QJaUxPp+AHPFdb4LpKa0tf36B15CZUJ54OMiNtxJ+GcBri1sPAwKyPxh91tzAXsmaius4S793OLEVE5APQFnqet3T4Fm4mqTg1/21kB3vr5peu1BEuMfJ7pOOT4ZPFHphp9BWL+q4cijbaaaP9b6x32/mqswcyMuu7OokR/HjYY7bkUIW2/uLFOkJ7JoVQ4VcKN4ga/bQXNKayRZBG+xpRvbvPae/q7+K7QHiFmCLsvTmYb9NebV5vOojpMIbV4dMrlZMmmg07IDzav2rDLa8rNTRiWVm66qZhxazZEh4HGKPf6Lql32Ycz5KCbrPgXyN80rfRIrJXS2ZWydcTG9XsIFs/6+dIE+JzLiqEgGEgcUPY/gZ2lKGYkqKM9pFbKHFjnCLfU+iHO40BdRNOp2oZMzlpGWtf2+TzmIw9m+uv2aUxUOP9PNh0W+7tfbhU2+2aTcHY+I4zY/9eWOyc5Y6XPzQcKMTBw+i+LB9oOdYX13uppIX9XOPaQeVrgxIU8l2TX1lBePJjXwErTfAvSV8YyA01AOTBeJNGpc00lraQa0B6TKgyIQm7zfoKBZhOup7M8jgh8ATak5YWTz2Z3UTwF/iwp/Jk0XBPNLA4iLXxWQ8/gN+VYVsJGe6SeCI2Dcth4PHJ6slJCvmDYHoGn9256EKfAfAN/y/S7jNXJ74Jviv+0/sCuHuHK6TENyZ2+FH0Qmh4pLbfc+f/QYAvLwbYccM7Jvo6ViGHaVXiI5r1b81LQFLwvz90UdtsBtpP6/M5K95JNEDXmgg3ESK6QU1LgAw7X7lz03vjxrjGBqEogRJaHQJLwCUZfu+YJlzUJiRcvsvQxqr0Jo/c4OikJlfZWL5kl7yeZzBC0SVEF1Ys4s8G9TevoBDgicMuY8tEBMQ2DlhRdRAbCJSp64HvMSrPH8at8n1Z4D3L1SIhpvyjqtN05TEbWMsimOyzhmq0LQzPLKMI3zTO+ELlokdcPJoskJVRPqOxIc4QXnJmrD5UuBbwxd8+hoUR/S0MuFbomOQT5xXqJHSpb+YDihmkr/Li2WsH/YjzwMaXTUIyeqa/qFO+agT0zl8sbZ+HN4HPek3vy0xwsvaQVJkZOF+C9HKm7BdiyCLewIkS+zlEKAE4ELUH+qk2xc1pKr3U/Zm4SpmLqw4GuoqcUiy+lenIJ1MCkny/FvZPmGs5avdNZ629hn77bxtvAyeo+1A3wZ92LhfHFQ04uTHJbcZQyiHE83rW8i0YaaYGtO52VS42P9F2PHkr22/4bupDb8OSkiEG5ajrL4tauPEt8li0NXh2PVCp8v9wagzrOZE1UhiKA7lKjjQBEjgUacepxFSAjOKgMw58urr670qg4PftvwLGfAl+GWY38JdqQJrfzrDKJLnom68k94AOFPgx28J0kSUeYBTOpHjhdB+k8w6rsbXtHzEhwptt5CTsTWiVok/jprUWFAZ7eH8k6MrIeq51g5pC9bJTgIfYRGlup281pBeKDPaeym5xyYKUlUtHNUSr7OP3LIcDgY0nLx/KnJ0IP2+9n1qkXSBhw4BdgizZCTUQJ/Dgp/7TF0iSc3VdgLpza7LHEyyEe9hIx8d/BWLbrT3dpPE9fJsQKWvavXczCBipc2NSbY6Wqve9rHD16QNjSqgDaEx4QY51uFfF+gXQvMv8MnV+15XZyJiW00WtUo0DRICwdZsYHzDIoIsad6luR+GhfFWnXk/aHOv33yzGD1nik+EO5liJhGk9jJoUf1B4C+rCrS8V2UDQicvAIXun3UD3NpdYo5YVMm1XqCFMK7SmsTV8I0WFeOyZDOU2eOE0gRu4SNMUvF/Ay10ichGYd6OvON9ZaD1UJ0AO+sTLh6vw5a3SVwn7Yu4GqbSwuYpYK4aZ1lfLKKCEjNR5tOv5CW/ogLccqaFydqt9iXS1grbmnkgMITXRCKVtHf8LmIrxHNzIkrkclK/dOvVns9XxFpTCS3P+97+VtGWbSWXXasCFF99zsaPdwu6NWNpGRfIyvQz6XQmK8mr4n3oCc7k8rVx0wAoTsjkcnmT3G2T5Rjvh9fXPFH41pabPI8ILHISR5/LxuG3nLx6bO/fonnppNd+AQ6+Dk1B3ETF2la3HP2LRGhJ8HroU1lWrF3bwxfff3u/Rb9lPP3nLCguaCVD455eVWE0p9WjkaGAqzXEFv9dWHVSeUS6tlKegnkR0SdICMOcLsrhmiSJC5aVBU6j4j9db7IFW5RtxQkvjqej4HQlRi/StqdoWuWqfrpVni9azpYptu/FGlBkvdPVqJkgbVgIGAYE6abVTNZRM+/THapxi6vv4oTTaT/Vao4t/7/bWrjGjPVwd0r8+wQ7Oss5QvQlkTPBv1oFF8UqnlN+4LvWY6ChuKumnJDAKxAHM5xl3Dv+NVCKjC11VehAtUSXcy52VUKkwlPWwonoL/38f9QK3SfNPX2DBBQGh8gH7rQPRwS8mQGcegIzUw264yGUeuZJK55qgFmc48l7jUxFly/FxE4ceMC99vPgBlT6ucVC9dtNihtsN8vEFaNBSjFkRl+BsUVdJmDgA1CnUPqfhwxItGHjNDiBH7NCgfRvAXI7iytMynyXgpkFLlt+qARDD2DMCTAqEAGhQv89J/ljxylgdxMuEDNazRKqzt3bCGyv3Rvb4CRWosOnOkhmVkDZhr8+T7aOCMx7R+0Kbt3yuLDjCI+vay8Gg7CdVpSdAYSrE14RXyM6unm5UURlBXKy1TGLzDff/Eg9fzWqB5hFkSmD0rCYINmCKqHW7uk5mkPFFSul7/+QDFbuAlgyDH4tzxyL0WnQI2wGmRmVvcrpio4XkSolOcHtM19xR5Wibe2JVObsrD4gxAq8qnj/f+2LminX21nJmcfVwQGybN0S3J+JBqnioR+QH1jHtOLKP27fD7H1zpf+r6lklAmqog3QTqyqWyo9kbDwpyaL5qlNIdlyJB4VEFTiZthrYmZO4HFno1r2B4hyOsVvlySjLS0PGnmCDVMFZ2An+kMHiXRyydlQQiM6EGOq5eHAMVB1aFzDkAk8X66V+quRRRAiHbsze6om50mgod/nSC5jaGy+sWdEIckscnXIxyqosrsVlRGr00I0auRa/mJllitqJ7CMys4yeoekMAfe8X80vjmpd8dDmKug9w5Uc9SWDYLqWaZeB30BnqTTGKYfUDWKamueGuFuyBd2u4PlEEpQVjbz4suzExdmuTaTI/GMv5xmDWkc6yxPw9j/1VfMiZWVso/s6wodc9LOxQOtt0+z9WysGeJgY3tvYMvmFxnnmth+K9WnLCus5S7zh2PBiqBY5N282DhrxLJCg+Li1JCl66XySITrDZl3/Xga7grhML0SpvhiCnIAcgcvoUsRa8hcaUgW90UOblI8vO9Xo0Uf4xbTVTkwqpEOWcYPir8udgJK1Mf0KHGoOAHvqhTspKlWOQwTo66ZUcjiqZIzo2Oz7GjuKPJeNqq+qKZJu7KS10saXmH2eqBHGPLf0ZqDtFwQPl4X4mszG1+hh21g+KIBu1H+9/tc35jsujnXafXiHSipC9CoqCQzxBfQ6+N9Zc6RWpGMYxbI2zK5VU6JpFzyxnHmW5G+ObVUbhJb26ijBN4aOaXfDyZ2zNhval53kKNSlqGh0V3aYI6SebPwKGnoRqR6onPsYkTdZFxnOfAWcwIX/FiC++em97IYkQiT5T67w76UAiavQRuzFP1BMtM0qoF/xxk2lR9nXXO3A/oHSg7n7hjqMiuw+KwPcHJot3mUvcSkoe3Mcrcl/Iihqwn3IiStLIPdA+lxyPWLdbEs8YKax0M1l1A4WajDGVuxS4TTNaHMph73h4s0id8kiuARiuJB0ihkuZVbvo+ralFNY3cct0+pxt63VxpP1XOa7xBgZGIK2mybVMaVkFzYfQiVckfbuX8HdSiEbgUroeqDpYuhEJXAjwp8cVD6bMrku0M7Yj2+aUS0l9cUO2cZz45QPZqjYX1LTaL/lsKKLhqn7F277d1u9YEy6pQoI9wb9/RBNk/IHjJjaOZpkMcxSj9TpoT7eoIwhJKsTwCXVTEFOFgBuMAIMD2tBRGzh+47/6FhIcsqa12gl2QbAVzVwKdLy4/Ui69L7KOZ5ahV7IRqxjXnwVE9ia0wCKApGONjhpY4jl1qnuwPtxsg3D3jzoJhdiOm82sWr3mTprIih8lH0ua7sJBY4J4rBAWjDlleSrpLzgJ1tdEiLkVt+icoc4djQbp7f49smpTgp08+CLtkb/pIxTaxE+XFkDOObYjKKpRY8KuSxebrFgo7khiTimdbv8ktIjg0w0QyAg4RUr39YJgU7FiV3v3cBFO+ZlnlkuYZdYJgrQZIh4t5t2LHSLooudkVGwrmtKXsOrh6rhAntfe62Q806fcX/H9/BurMI1aXeO2AmIS3ggiQTsp3osbF5rpt3a6pUwFmyhWdf4LlaUKPqzwULg22Xdsx61oH1vrdM+fwgp5v9Pz4mtFKSnCuzz2+lPF3p/ZzF1OOZ7LqdpfgZFoJ8IGAjvLIzIrHmwjDBDg8SWZQ4s61GzDbqf7SkRjqDrMUVPiRITDwhXeI3uNwwJjf7zlD9pvWlg0tLn2GyKK5Og8aiN+gDQzmSqIqsuqagtMbCTG1wT53acF9WmIigz4xrWYB1J8oQcAvl9kweo6f3lWsrFjEVUiLJd+FbK4nQ2Hk+sxr7rkDNm/wLO9FwJ1jfUz1qZaYc91b4MyOVq4psy7eclDP8TeLS1bCXlPbAmxuecnqkGUYM21Nk21/xUTlWhkzBuMcV5teUjSTgSxvv6qUGvnz0eg/3Y9suQcBdpXVWZXaFBuHtatrmVsb/hzbbOqBwsfDUTuYcJYn2uP/oix3HDq8Y9LKYkzH1nDEcZYlwfrCXAe2lnOjBd84/wZzPcqKZjJ4iJ296tQpRUp4KLVg/hijb5Cl4vJEz0d0ocQpuuWNHmOTLc+e2GNe+dhB4+c7QS4UEPq0h6A63KBStg9l2YjJLZZxQtS4G7cV7Z/qnjkx+Dbj1NL9EotACQ1kyrDcB0RIsQ2o2BGrFjqLKxVx30/y3cteSjl0KOSduYCbLuToUamD0CIsMK/sW/+KJP4DBbNfCZWyswgH865R36LDexaiw2Gbqhjf7X8RlIu9QkrDGyiNrSwe4UC35gDnCB7je/TdNNOwBdYmaZCucPYjvu7q4wTtCHr470mXvwHsDN/x+RmL6mvvTbJvuX8wYktGWUweQOXh5dBi7lZLzkVoK9HodGas3ABusoGa5Pd3nrkZCjEKP7NmPo5Q/NBKgoBaLZu5oEKGwnihwa5RxbDtWJ80JuWNU99OLYBNDrHM9nNZ4rI6JD3e/jKcaCbOUtpPpl1e/p83alG4zjBqzmObk3Blp7XBGQVbXCnKeM/5VRTLZNIYrpIjgElU4uMeKt9JaCeAewDvCkKG39bMVuMa6SkudtyYPcvInEul6tEVfufZT6VM3taotiqQuy6zj+pqyUu9Cik3OQvKPep4/nzMABbJ3FDAmQ2t8NlQM/E7d4hM5qmGSd8XSlQMI9N53z946oM6dcxUuPMSzdThUWq4ZEPirLox3FRY1flkxYAge8xi3nuvlbDZA2X9rfF0IRyZL2qhG6BSW4JpA5glYByTmrAkuYEK4LiQfo9lbKM2pgSg4uqsFoN2s7qCi9UpLJadK7Flg+OKOCGbA323eG6b28Iak2W69hCyQ+GmTXXKYzUU1q5VC7ngi9o6QjYqAjN7b3E3JsxV0vHtybtv/onYObdo/nN9YO7G+VVQ0nBRVlhD7JPJnBvCJjlHv2pXiWwuSDoAuYbX6zDtp4F1HCkXbfOR3tPHGd7EeODTTTDQ08wyjWvgXG14Gr3tauhYQ/QPdnLAcujCXj+qD1DdKHS5pqxF5nxBSGph8veXRb3jvDXRrPXsLmP2pfrfVVypcV0cX7g2pKTnb5V/WVvmpwAekSYpJcZXTflFJx34XmM/mZeZFepgzYVHSVAQdyCJrHHh46SC4xzrtFHSGkfFuYxvTguCWJSqKS3JdQczPFTk91Z46SJEi2vU4d6i11AjUc6IZ2z/D+p8dvz+4Lv4fesTrcPSxm5ki/ilG7/5oozVVbFp/hEPmtxETgIOp/3jDz1MY9wVUZMi+haOiHhtqat8BPL9mh3iMG9hN+9/1tYKsNyb9L4goJzq6vmvw00CvUwNeNxTJG4xkU6LGdFE9VmRV1uK3YNyFxJw4cMuOog+vApTB8t8T5YJGyJOiGJGEOHzz0OgsdsQQARxXw8PMlKwUn8vPik/6Xxw8XGYOPGRory6K6A7HKbDws9gXOYbc/SfOUZVQNtikLNrFXEZH9/Oz08VO5YUT+evBgjScloqapd0bLPM3X+SmP8ltypqr6DWz8DX0DBjuVKGdAn4VHqma6GYUCYRUmvbyKeYw9zRaFkNGCWAHBhqXaNUTwqvO9iRFzdbhgPqtQFgCzB0nFepmxTXhNJfOp2h6GeynRbKmXuGTa3ogoaPN8J94S0wrvv/SunqI9yXplazL9xLGwJ2YJpwLjpujXeSaAJOApib5amvUKPh1XpsLXla3coSuFnGUYEr/oJlWVFVJmneQr/X1qD7giCCT6mQUphNWUSTyAnUaod5t4NSa5gDO9+Dj+DU9W8FG+T9DBd+ZMaIq7DNWShKbyir7fGE+/Rt5YhdlRY2d0DHUUTcdsoIfW1B9hlst8f1fJKo1mB03g49G0Mao45KFemqtWfQptMQbpMRUax81sA26IhdCzxqhtco5JtmyAK643gYJuDem+D5DSXDeczBxrQCYA4IBOh3gBloSqrCkTGWFNA61VHelFRZRNppl6feNsh3V/3aiq1a6Bwbc3t3KVUtINYHW14pSK0mE98ZUy2dVgb5apUkxWBHIcTYuqFeTFnueyo63Oepb4vqOsv+etI3lTNwxrHZ4QQfbhwpzTY+aZkxb+8arm+/Mj1MBDHe3sTIk7Hz8bO9XDwdrxmIWVm+RSSMzTx/7dJ00wT05GUHboxgX7Dw7iziVG9SiO615Qr2SDKHptEExxTslRUwY+U3TR4UMHN3tnB+O1midu1FLbvHNuJDvi8aQd/0p9QSVGE1lIp+3XWfeHxEnCksJa+kWuIU+XujGTgcdHYdWWFId4rocf3AH29vq8udROtcWeo3S3P7uFWE+ZYROx51rfMuOnHiyLZuEeqq8r4nvZCc5zQUgW+uFUy2fMWw+OFV0SMFIC9XO+Ff+lSBZvdJnzwysStpjAThaBGcHgonTUHc6VhDTWrgK0IA922zSEF43slngTRqJzSQ26gzHRjcG7fmQQHnzQIv6snO1loZHaROTJP4A6pbfw1RPOL6xvTwB0L52edE84nLm3V0YrQanR/6X1Fh3/ZDc718Zh0ylM04w2LGWQv1Ai+N5/uB+OeYL/x3QW+NznL2kqQXhPgnmaI7uQ2ZGAMuYrW/a7Fi7KeOj0wYaY9X5zF6LlXxV26HiFrHZDe+aju+0mQjEBORWfacQegu3/9KaiZVp7V0dEPLqs9YmpW4ZSIwuY6JThksahtt5WiZ9wvnN144wLxZUetc5e+D0vVdGoVq1pS90FeB4bgF89gsKiGpw01QUOLlX1U9PoLgMo4K9kVPE+JIT9zTczA2cZH1wGf8nlfcJt7X6BkgTgUfE7w7ErBDypES3Q0SXiXdUTPWJ1UPkOLug0kdp2s/qGyse1qT3iBnbSEnBsNri3YqF3r6WQThq8ZPU758qJt+jZMRxVPsaW4ujv+U1a318c8LqQbhIVqIkbXihju1+lucLRQfyFzXtczHl8JY6XbYD+wg8z61+HkPIs51CmFUKsd8E1xydRtwpXr1McmnSVKMyZuVyBuHnBZs9h4cyYNL523VGxCOC6OMEPG7oq0PvI3BaqBNbUek5NwgLn1gtaY1K5hpFn8cYSaZUXLN8E90RF9eiBgWXjQWBQR3zD1tJvz8CuRWh0zNA2pNLS9jdXqHLA/3yxMHsZlc1DQeZEraTznEnBwoOoXqynElgEI+ANyqNxjMw655OBnJefNbkHPlqZzFiT2Lbze+pPeH5iSaIqYH0ndMFQu9pB5+b9Qex1r9xBaiai6TR7cFwJagETUBRgLjeIR8HAKjlYFKjJdf+jwmIVM9IdwBJ9Mdk/QgLOov8vjl4Ep/sPZCaN+LP6LypHKva2VLvJaau8Yd+Ke4NsNWO0R+im0inmKFnfGV+c5Ed3BcQOCco622jmLpG9A0oiFDb8dZ+S60rAFHVLu3Yl/G4owQVP09vn1vwkSKEgaP+cRrtYkdcotaR76mdZFHbVxNdemha0gPnwJXOKHnffqp62iy604c+9Ga3zKXjOhyJcaDSs/3vy9/6o5Eff1KfasNGrvg06RswRaoflV7bW9nu4d3QsJzzsF8nz/8ppIXtuInjciU9gmSLCzn7lvUAMQdWet6lqXrixaYU67YsrRiKX8FW8ynmce1pkSgQ7u2WU69V0j307KSYjPKZoJvYpxZbRH5NHiNeOGD+3uV5ttUm2ajNV2T6V4hBVQhoZowcyEtfCwcspZVeKnpCw8yvBOV07wDfCgKH/HnwjeQYdEx4JYlmUI+UESiUE9wEyVfI+/BLp6b6OMPMrGLtg5rDyrXzjlR26CDV0Rk+3OSb2WGIOUzxaJsFTckMJupzhPVAeAFMtKaJqYCieQDoMS5gHiGo+/AfoEEYxk5aFJrgVs5FWJIH+gICjvjntLxCb40zZ/GXeYFjNpGB8Kp53jUSz3frdLuvBTuOj0EZe+k5ComZ8HJZFQR9q+bgYYh2wn7APMLzn19h5B5Yw7Q9ABhqabTQvjTltGSPioZEPldAsOAyKndxiWjzoBLVkQt97ucwhFrHDnm/9Ygf6egxazNzhiHpiPMRlVvp+wocvq4p5SJp5wbRqXoE/Zlwt9ed1I3u9zYYe3f1CqMmH9tyoJev8fgKYKHF/7i8oszPDKeLTPuDpO3N8WvUdS/h4pWg+SFDC/MFz5kPXfnqiPtCCq25IkVjuuXzahhGjyriuDmhfFlmx6IzXZ0sIT75TrO/VqI+2c8APDm3e6W2JKknsIclMgADMetDUL1xxVTuFArl3IY1wJnS+Mx+8eZrizB36PSosYEFAgZ+11Hu/luN/VfuKWZG4IhFX7Jswv4laUzE2wrxVbcgnBhJKMz+QMoU2rfxWHr0xza79AMb/vCGHqYIyG8VOvJpjio06pMtoAcEAx+Ue5WYIcxKTviWQTZ5T1fnIci688h3W0LPkJV7mtw6tqhs9Pm8IvONs7uJ/3fTJtIGQ4HkGTNwMX7UqPQoYDoHpHLPZ88OqUFaNvYdnU/d4XUWz1lCqp/w8QEUXaVLgNs4nwd2S3X9AkfPxxfcrOtM3CzxTPZ7Gqt9ipkvUtgxOzKQrMeLrrUxe2yYt7t7HQRn84bWusxdQ+EFDAsCALgTYMGeY7ca01KRiAliAuNz7sAFe4WfIPsi5qwO9Hya9bbYYDB8w8NCEnqy6TFmNsA0yQnnYvILijOMlObvFbmExtzC5JQGoRaQwym2G8pRZGtSS8OoByIkTf2HBwJiag7VKghO37JCDIka5BvnzK5Ogrw6XW6whG8pFGoHlz/xRNEWYVFFPjBcZZRhGVKnY8uZ+dDZ9eNSpVkJ5YWXCyxDkEhLAs2DAKW0uBn4axhefVMIfhe6UXap9e7R1zMTRLRXDOIVG5yQGyNXDkL9aojUTnIJr+mvwcRX1DsQxCLIzqLk5gcwQE7Le3SZbZbpWHHnmAYPZ7WrVr2jr7SG/Lm2CMolmAP7bWA6WYpqkhrwDN3F1EzuDJqJx4Dxj5TUjC7EVqtOoQkSLp/2UQfPYO6DUVCaPy1buly+0okK8amU48NtCMgVf0irVXxmH4w4S10tllk5Vl2eA+0oUXjjrN5LvToz1b4/jMOwH1wu07t3i2fNZNpdo1ykaYyqdIyVQF48/zCrN2HFUQq6PvFnD2wA6GZ1eHXxYnpAON3Mb18FAefEu5W9A1j7rXFODBUWL/vvvlK2TY0Wx30qWLqjTkL+lpMdoN35PklOXcwkTt6/1NnMelDqrl5wy4tuuml4PVX3zLZ8nAH/cmD6W0XuFTI7dLoWlOqquzBNtBI/c9vKRkrYY6IIN85Af1koR9kjW6N9mnStHANaMxqAKK4BNz9d/2xVlAwXB0P11BIX4CnHhoqXQzPqyHh6Mi31i9icTuy0jw8Q4wnoNK/6CsQgs5AwkvMkY5559pqDfsFoGni5+vLjRPsBoFodQ/deRXWgBknp1trutzsxuPBQlHC/XImA95Gdm0Re66hS5is/oAYwCzDY7fcF5x38HuV+hTmvdnRc8XCDuQPTBa9lXv/ja0e07HbBLuXEC02J3CMw3lEAJDG2bPn4cwzr/wxgZtWcHUsE64nY6cFeMaZ85N/uve7qaOy5rIsACN1orzcd75EjKRvDPKkOPcc1o+OBy4RkRDAkF3qzKNJ+uYD1eBD9R6KTbacH6SzonnGsP2lBQBp0srP0MobVPncpA0pwvY13APguLrkxjWfmIj1VGTTV/OSP3kpU+E06O9SQoTb5+wIQCN1+wf10yRWL+svyU8vsnsj5swF7rzN4jpI8F6hmL/n55V/66JIS3t/OrpYLK5dQ35xIUNZUatGOp3ouaOnuaUuTSZuGRLTrGc3gunjHsMNN18mqcmI06qQ9VzQlB5Swl1/4SQlNiIbW+WvuKe0y+989BKm3lWmHHm/mXBos/d0SNYl/7y+yxdNb2JOxTUeJ/fitsXCTm83QmKruT87hXADv4yirwNhTNtN8I5avu/VmU5+gQwGxIjtSTxMfQw6ImFF3uls4UlqLD4Jy/bqYTnwcyXcTZoy1hMlPWnwXKZGVJ/8Gkh+ZfUO/3zxcEtjmGSkY5XWWodWzBW4imkDo+OD8TWZ+Lx0xFi9TmMAkEyHUcxJa3K9NoFcZGZD+jJo2v1EVan2H1SyhgOScGVIJLXxDlFfHdi9c6Eya7b6pU2/v9tTJtH2wXuaq9ZAQCHuHV+eCjz+1vtUxc6eWXrfbYV5bZ8rQttB3e2wK6rbzVTLqGqVHcaKPI7viLFzcygfP0JzoJilDqKBW/76MkroMGidSamEoDAELd24FQU2wmEdo2oeubCWSq2lTAvEGL9fn343IXbogiNhyTmB4JUO5Ga7Gtwz0GogWEFeufZntFiSEWMO7WqRJBrFrcodLK1EO27RbNlqIo6HLXQupQOnfOwbh4JiD1nXASPcQNJBui9yJBRAETwWdVDlezsTtCnAiCZmneDTSCPjW3B5UcR+KwD/cMBLr7AFYcnbAV6P62e617Lw+MoqoTu/G6EeR4KoSnlGExT4lOjanfXXmtj4EhIikQcPv3B4lQjSFiNf/Gz9TIJ7y2+eg4reYD1mByBbZCrEZSqhTprtkVlPoxqzqADBV5ODuyaZEb66w7+8FVpizJlCJ0eY25N1u3edkzBOznmlYEqKfsLjS0oAuABrNSAt9ffW8rWx3GsaM76NshWFr36Yfirtk3M2Pwh+w5YFXqpv1GP1anDbDJNYSBOy3iTY6Y9VR65pj9CkEvALC1zaJ2+aWJ8RbVwHj4yHz5cxzmDf4Ovhd0janrSRqUz2yUE/YXLUBqdvKmYmfVJavXzwNxSiYpTj6wRSEsHzyrBuFk4ahP42zoMmiA7DmXkX2xGg6+EChdPPkwP9OQvwLfq/NB6U0aRVyEKUfcu7vVt3MxFdgYxrXprnSiEnPnLhkGURlOSqFxN6uXGxm6T3rUt4A2cBAsy8jquInHEnz3zFSWrqVfGB+3uubtkZiYtzZhO1O8ovp6A2H6NmQpuaryPrmJGWfQgP4NrDuc3PP3m6LaKQipOo+ddgSj3CVqgs/nsJ7o62hPQgOiE+LRy6EoHfUIrMB6hdJWcb8HvDJwPpmTRfCbTlyfTGpaHx+mumT/Wd1U1dW2/gvY7BLGOF1OlbWVRClVZcZColZzpIVxlCscta3GLi374tz5/akBRnRvQnqdzlxYP/6uqkjCSwUhNoKxdVEj5MH9voJp+XpZHWgDvbRpQAkQJwUPMlh7VaRZahOogkM6K6fVxIEcF0bJnU5JhvJ8ukqe110M67Sj78ydlVbu2DmjCFhJVH8HZIkPSzLh69/5capcqBZ4wZ9zSIHogA7r18CK5PuIYyAndRlp+c0CW9sb2CVGCVshPOtxiE1vxCPPCBBQtygBV8p+Y256Ud2gQk4KNNetE2dJZ6UC7WpV2FEH0Dcd3K4NWmnNKx8COO9mnej/mwvM84pm6SG+KrEBUKeWBW41RMDi0GqcwQSAGwqO+prCeUp4tM8C0RG+PFei6tYMrBuw+g136KBvuHPzZgpHqjp6ZDKWSl1LE+xdeJs3cMqcVLp0fDhLYSowSzFMgbZCaDrGzMAkEHsiNar1SuuJ/VTTxyQZu0G/SjJIROYs9xPH3Eo87Vm8nsC1PNfLVmTamTpQ+rTSPigQjEaHXfKfg/N/xF4G4EhmAC1v9E/sFoGra/QfX85wswJhdfOWF1SQQYtHVvaMju/72uBzzBJhK+m9ZtfIlSsdJozwpy78VsvK1hlH4dL50MO4FL4Ip93lBKJ21iOR/CiXII9H88kUodf8oiCK5KuFbss0+mVmP9HY2PHC/kIS5xUZw515NCvLE4eJPNSpex98IW/ptuAwt6HTblz9r5oCKuIa0ibAOAtA6Ip35u3eU2ml4euMZkugq6OZdnsgbLJ8A0YlVm6l53/xn9yePfiGRNqU7nOtAowIBzcT9r8obK+PC+22dggRXYtcjYTMVGaTRKbhZtESBEGw+n9ZtJAY/5BfQmQ77BJQ1qriSLd8Wy7WH8YhIirhkZii9VIVbXU+ZSAKewtfQD3CqeS+KPa2mvD3dt9faNMgQza9Oyk7qflrnZ3FDLuft9rhp/yJEnOuotVgiMAu54KjFkfMEn8oFHNC2XExVy31ddd/cU0TABSVHN7YU4kwCDlimaMPdj0ur8oB+JNpWINGdOq1iD8fu4/+IiHNpN2fIWMYiajQnyLjPj5qflDGiF5S0jeB1MlJhbJO81v/fvzlgXkPTzEKN/nsJlwz342mMSGjDlLtGCrS/6E+cykdeVp4myp0TOBPjlBJThcRJM72pqTfGSM4eceR3FmmSkJBtM95XbKzyN5+iQzJ15b4OLvlyGBGG01ezFhkywACb0xNzqiMz5fKeOc5P0GtnP99JBX9/Zg+qBox+o1Xb4IGnnGZrn8IdRrRrCV84jG5Wx0gS1WHXqXr7j/FuhFEVOED1z8OZNtFHwiOmSz5NJfQyGnuSNLf1kG8XELQ1wPcERhvpmd+bGoQ1i6mZ0Q8ZB8+OejIdDcxHWYAuF0pdeIMKt2VSSVQv4/ob83XW9L/etWwc8Wmb2Y5uLUITpYtVtsYaYD8ing/p6avhc3E+ZIqqOh3oJD9CHhVPsyrz3P1/FUMYKaktKd+UbkG0Ts0Ka0+4o6iNUg8OynvzbJfixY37ZXx/8cu2V11ODEFEiQrCIai8iBXeYDaRFwVGHskJ9Cs8IOY78CrZe9oikEo9LM5Zegn1F7LaGjIFoTwTYci6sSuZMXQCtiTn7Va/mH5pLHKJJh00DflMGbQoHiUUjV+z3VYmC4QLKtb0DT1MVbY5YwScuQWTIvSOpdrF8bN0ecbEUFmoMZMkIzwFEYKlAEMvBOeR4x7zeXbs923VzD7nh5k9cuff6zQyKRYiN3m0HNcsgbpB2NsOFNN8ObjnUHlYTCG+HMTXTFx1UjeOUxWmBgonpRI7TUFiJV4US4b/fumaK8nF2Q4zCvmKx20LZTHfYOnDxebzIU6O1gFzUYuoBV9DKU+l0Ol65jbtH3nhcCk+qbAB+kOWfDYzAoRFlMcKYtDc9zVP5DEk9ip/a44SBCNSo4eiHzzImdrb020cA8xjVOgmd7yqdfoXB0br5ouiaGvEka6b8dqTbbNxSpvG83wYvH++hXMkGqD/mRz1XWDC7fX+i7nGDoXTWIBgnA9MF0NDPyCrOiCBycyCARifKztEwxBXB4PSxqhptwLGOobZql5zu0zrCVeWcaJkc5ZpA9HtOKzOxn+qAx5cx34NoFiusq0GcHQEzxF15sAObT8TBg2zWuDKNueC7UE3MPQVM+vdBD+kpJ4ntU/u7sG5QwbPIKnNzYA7PXlucq2WvJuWSiIdYFI2V72Dg1w2YWmxiCwUUFqDBGBxoDuPAyfxUPBOnVykL6E6XzdObQwsybPKeVzUsI3Qin1auLhpLQOqzpLx5AYbQDzIQ+k0R9IJ/NRwvjGGNpuyq2bsUEOg5NJkpIvntLdCsrAW1FdJ2NAz/BXBz6KJ+xlT5d22UbfswZ1As0HwYdENTeM2VSH1Xcy+379fg4RA7o76IaKRV5uZGhWYt4lznx8sY9NWRrbICQDqMa8zCCNqe8vV5J1ugyti+MuUIeKB+bhgiMqZAmCQGv4USC6jdQ2kA6jX0/GytY4HY3z9V/TumRhCTLWK9LHkZvyqbdzfHB/0lNqkii3FccdEsPF4v81fH46HvyDafou+EQHp3bPOVuJjT2mbVvJS6HbWaut72BauEW3EoDpzJdE5f4HtJXnf9fjQbczxUIhyIUznsvTxRDK28HP6ImnRrYoZGkKaPedOjaiIfuZfOoiYGc11AO/VZVFa0U6Umq5mmmgEmIs5Q9OfveuqgpejXUg6GJD8pVSe+j+VhIcP1ZOt3ZjtA1R3Zahts3vJ2YTl0FFQrHy5tl7ltHwSgfNNK+kOKe4NLQhLl5RqLLeHDe1tMjeHTxk42OMfxBsOdTBtzmUESOfoLvrX8jRYXVv/YHd3Jp/o5+dEO9i6noKyo6h/ULCsxcPU+O1mV6f9/Cy4r7eB4l+D8ay1ujJkVAM3HsfZbnYeyffbqD8QjRy990JU9E+1rZRXSEZ1wb5B7lO7ZWo87VcM/fioKFWGXJ0yeURce3Rw7roHi9hjs8GkkPtizXgtIjxCtOpj28QsZeTR7BAWCmSJBSxLbd0YlhrVngKvZxM0LB2r1j2PXv6XvXxLgdTplhZlWfDHIwfbIrynhBW5Dl7vNvDGgKHxNhdgOvbFt68+D7bkMJiN9J9hJS0oinHZbl/CPFyfu6XH3O0vKqr8yJ6ME/bNls4BwIrls2jxnUW88F2rEgqWT+LmGvSdwcsI5fG7QXRGSvRleCFsq5BJfJix3q9LqAVZQoMVeqVSi/auEelhgrfexT8plcqA3Nkpb/N7JZoPRnwUwNvyireVeoUicuzwNXR7lpMcf7VqPSO97EUVxGlOIpS3UtqnHWGbd+jyGsBYr0kx2w/UuT193d4FulfIYLTIf1Bd9LqO8twVBZlxcGrsFw7FwCXobnOtQBVVQB4i4yechI5sm5BUMmrqOia+qI60qembGPfD6IF+UbmPiRFZtShadBmd56CeGK8moQ/AUm/JBN03Enecp9yqrIl0fzb5QP9hrnc07sCeRlctG1evGbbVze9KAaTGRRPO8bhJEF57IoFEUHaf+7SlcTsQlOcNdZo7olpYb7PzVgdNs/QZys+HDD/3sOzZ67BYzSmWMmbpLdSt+md8qkoszN01VR2zdFitAWUFWSEm8dPi53gGrK0rKpHQaZCuDbjgo43p0irWgzb1z+j2xo1NlunLBY8dbjs4xqIMqxqVOc8t/qEXKbA0elz1xMxG1ZIXLqGc6gqetC/sW87mAJqzxWy2OhO6QdjTdrvQVN8ZKJPrB80PNI7H4JhCZ4DlOslj2oewR8kEXBpVuPqVm08i0Dk72SIJFFEsBING6iyPpN7Z83OYU71NbNWCfM0ZJbMnEl6tnUq6DWq29XpVEcq6DrnOjxqctIz9u79Q3VRLmETdAogiAMVAJ8QDYsr7uB4SOF1ux/s/uc7XgQMUOD+Hp00AGi7hXl+NKqsiczChwseVOqmRjvDyGivg4TLfgaQ7/xdE31R27TO2umYgYshQPlecIyeR3Kyb6DFXK/T2/G24VD3QSV6qw68v2SG4m161jWRTFLJPoLoJtPHad3SIsbKRrnfCwLxmt9vfAKA6piBhoM0+SAZPprvyfByG4Q+5Xna4kfeA9iMdzTCGfMjeKPbKEhdF0ZNHslAJjULJwb4MJlSYQ9v9ceoHy/hVwiruY5XKVh+VuP8g7dO81HIoBwZk7GrbeF4ttxRadD88OKY20xsdB8rxGHOlQiSK+syoMYeF/mM6BUkdj4B+TPh7cJVfJz2ku1ZDfVjEZaELmRo9Ma2b5T6ULRvGa5z50xvCxdKkAISGnFlmIRLwUONyPTxBCmyMOZSiwWfrknwrNwo9zj5dDxMs8XDBkKgesukcNWIiJ3UkbdlbIUfHjPC4KKiVngmf6YUbkIRpWJAnueEAlphxVR3L2hP/FQaqFWtnwnCVos510es3BFg4N3V/pucHQXkZtI9PrsOu/w55YHfV/N1Maz+gYfAwTryJPDd7OVFQcaRSD188xGE2jnfeBjnjQs2pulOPyB88sY5duSmo2Qfnh9ZSEILuewvQpYA+xYFK/n8+E6dSc6qL1vBxMdT3wV3rjh5tXMdw68lHEuKupysYzZvJQJMMevtC2bEiA/Gt3WvW3Fh5kltrfHNChIeqcWe9zOCALCSD3ZAo55YfBgjprzdRkBEkxVYGpOvmOSg62jg60I0kfI6Hp4VUHDY2EYl9iJxOIpSezocEdwB2N6seufaO0V+apGDj48gc6btk/ErdfPgYG1bcTB33DrHOoBLYMoSMZF8VnSp3uzQnqnAe5J6SJPLKC17YgV1J3k8UeqzSq8jH4nnC+b6e1A4zAi11LAadGfxRNADnRwy5dNFcmbOSpTYfHHf5xLY/GIwv0VYRzIXUce0tIBZOfSpbOIOVNozVdbbti7wlYruhPAKLA7VjVGvK7EyxjV513rrKIfKZflAIvH4Jx8RcPmvLK6MsCCeyheFdsFiXw9g0BY9q8VPmg+ig+mAjS/3AIVBrfSqColSUnPeSUuCHEerUGozGXu1fo36kdl0ZK0JDAVbvM5rkzohrh550PdmSU91bUpmJNc2g7/dfBCL/4v2h40Evs+CSYd5n04spkDa6G0eK9vCSxp2Gqon/ccTMfVL0Y+DYv3yPF3FZ9DteKIkl3oqB+o7EzzUaY4FR7eFGDLJqB33NCN8Mrofg/yXQe1qvNi30TVL+tx/d9z0JgtGQQ13g+I2DE6MNw3fg0RTQWavKcxQRydpePyNLM3LnZyp7WXRVfvmwtCJUkYddWLRg1QdP9T7qnCKitkukpraOU1S2LBibqyR1XNChiGtQa72ViGUW6lMsMOBlyEGBoXFCXnt2B9fU53bxHpoaHJU4h+C7H18OrTn8SGoS5VoeXkMEhuBK7UP9983BctNB1ZDaiJZumYyYF5QYSJtp6NOlIHlVhVDxqeFRt/RD49NXIbsoyE+csL6n3+meqhZjNdCoVNgU2C4goJLSOCr4e/PJKBf1fb+2RV7yVcGvVrHM6gYy5G9aDa+TWDgQGMIfUfQ1EE/EPQR2gA2BNkSLsUv0CPBFs1hUf2wOkcI3RTLW5AMfQJdlgEK3+p1S8K8lMYJ3CM4e3FeZpUwpN6zWyMTCBU77Mibu3sZEWnpXc2YbzlBZZI4a4RFTbkqyi+YsZUGf+E1P+IgyHUQLpBLXsN3vypsYtjhgS+TFAxrRUFNI1gww2TTj661WN131fe9zNtgbVpd8QctnxnW6R7EwMNlowiUfGjtJnJ4p4BdR6Q5CxWNIV+AEw8ITuZmybCjhMRsB5IuNG7MvZcTdy0TXlrpEGRU12V6X72I0R7laTyg9b3MZptwA/jWZO70B95d+HRfbzAQphvA6jRcU90DMlO2yRJzfRnRWSDezpJ9WgikgEjS+n6bHjBTqWxRjZYoYvRIab9ZYGjfn9gLx2TeGBzH/qhBimpepbQX1QzH+HWDf/QDEQ6PVZ6qTtIgrHV1vtSJISe2m3fuW6nahipgpGXVICp5LKJZG2wram0+O39uxZe8WCwMyYsctHbFDWoJWhKbVDwkMqaLc+S6OBk2AnyReQNpgQ2LtmDr4Y2FuIbo3xZjZ956y4rNlz7s5PFTD1kva/s8q3mfJQmC0qFVXKOz6y0zJw5UW/y8gdYerI3DRVf4cP3DAJ6i0TyYaMnZBSg3e50drXTPYk4D2Pp62qOIh5G2es8rcg912csbsRUQlHYbajAs3WxPSFk5PIxCtdkQYwm/xkEeN3zoyB8c9+ZUSmcmjQa/0Fc7Kgd1AGJXmWCXL7JhlJ5HkF4kfERygd1Fuli498b8imflh14O+BWlQMFYqh0DRtd9NpQHdEZXc5DAsQuvMJueRBz60gnUaK1ZseAAfpP93qjdnjLOc1imiM83mnUEe9gUs4MV0ay4eGlry3HLKNmT9gVO9MZP2oSCN+ej+Eygt9ht6GUJ93xP2uXcfXcZNZXT7H8e4092OR7gWk+2QlV70m1cAxZsGpYxj8oA64Z6zsXb3Cz7dRGqcxz53XPhW7wEhK2RNcEv8z1rxH77FKLka7TkBjvhoMp3CcQ9aV8OY5U0uDkRV9fPN1zgUdstTIo3ScKPODCZxL5RVaIKslBPvsWRynWcIGTOJmFDqyE/++ebpIFV5sS1rkUNkR3iHiPNjZrBr/K3Kd55KS1JUEM5csf8K03IyTj1znhyfCaly/QEKcXS1Ay86vr0kCk7yV0VHpndfwaw74rWYeTppvRSNYeXPI4yPSE5Y6Z8VxQoHlm0COL0qURFR43itcLUAhQCnPvwFjA124rrQViBciIir388j8wYaUglCdYMrLpDCZuw0AVWZV9nS8X+BREJMcI46EyxqTYKULceQZyeFyGZPxUm9PFEH/+W+sxfZedpftdTbqg2XkLFHbOiQ4PnaU4Zw+Ons9VLenRYms/dmRaV9akoD/ywXQjk5hEd0YGcLvRTfXh7wsY1jLC1tojIgIVPdryfwV0V95UF49OqDNyJ6mKZXa6CDTVROlFuQpLiGAmD6s63kzK+HpZzjXjxxhiHrQVe+tun6PhFG+l+30BuZL9a/6mUaHnOcTMbBbswJaQUC0bBxDGMKQXUeWNct6DP7+7Rg5sFpmbXWvetQd86kyWMW8orOVYFoKLAqvWrRAHR2EHXVeXjU9yFH2w8aVEM77I+3TBQ/bXytto3OICm8JKgx+amIUHxhE6Pp3FsnTEuuf3S0k/BizTiYXo1IKzTInpLkO36NcAPrMrsbfdp8FBIvVQ5Ynd9lJ7vnLmBZBXAyruUJUg91WhEZt/XPjWgiiDCEq37T6WVUdEo0CfhF9IKtDbi+r1gdP3yn+B9AxoHonMXENuz+4zx1JAxTbgSu0+Y0aVINKIAOTuIwStYGZSkO5NeEYcCrpq3kHyRAYgSkSSYE2Ay2kKciLl5uipkzTlU06dQLOfLncUUX45VT4ciN2QY1/OG7xte5bLDi+SMn0p6gwYXuzgYTBgDLjtKSVery0QeaxAfLvB5T1IQg799CuK8AW3lRbNaYHhQXlmjO7Ow22kfCIpm+2jQqu9zIa6Cb2VwzFgQsA+IqPDMaW2B/FzYW8IRfN4Ynd5NTm1dqgaW1bpfO0GPCgUreJ3W+0oFzCnYXnLNBVkodVh6pG2ao2FkgJnmyksZ8PThUIF2bBG7yRDRB/yJaLMS6wCDcaiTZaM/+pd2O+NLhhstutaGexOCXP26tYYor3LoJW6Luq9loFWM+g8UF+c+bbUzTDEmc5j5s5or3ptDEWoVgBe3IzVnUcthcCqpa6ybZaYs3hGMeP0se/pil481NTwE02xAnyYm7hih1Iibdno/pFCbyEwRwGpFYIQVsRkQ8yslJDbAoCXAHLcriDImZgCg1cMJRKPMlD5WG04umLML+MS9pUUFkFD78BnmD0bmKPIHytXg2LKIbg6NZR2Ib+L4jtiU+xZmMy6sFYXICfDsYEPEEVxYBBPtHuAUM0MmYVTx3LC6vrm6IUU6y52WzL6KRf/fne03vNuQk/3GCxdYAAnvrSphyPp5oIr9gq9SN3p0Hbeyqe4toogzwoHpYrM6P6hlzkSkPDUJllF8DvWU6UrwHmIKsUmroCcIrMg9GqncQpf4nsiuSdN0CzJPgJOXtpMSLn++k+tdHRVUoSovsKndvoiNlvtsH8CFAsDRyyxFUsjFNjuNd/0Mafke03LG3cVvBdkDDI2iJ4lVOn4/jJ1JkkCWM/GZWZjSW3yPoimcpfNCoWc8jeQUw2qVJc9XCcV2w8imZ5y7zwt8Eqz1uA/i/eBTqq6KvmTahxYUW89hFLUH7sMEP6VmC7rKGGZ4J6KaCGEHcrUZKcMMkpy3mH/Yob7Gu1mdv2meCUBIDbGEqr4BegPQZ5kNdC49jOMSwXYcuDP8xi061bOGXnX2EbsnCpjXH5NapCfBzhgBTMifyffI3gTESKpVLaPLE0Oxley4ZuLuxM4XGGYaWDWQbIyfKCh8w/gX1pVuLMaY5ifooDZNyMXW4wMnf2Xv+/BgoIcTFp+qLe7b5rRRtJo+5fB8nWMjjezJCbsCv7F9Bvg6Ua8RWTRF1YhU3PYMTUKDSZTF5oNJ4NrtKM8mpo5hJ4Yp1z5g3oeDxyXQMHqhKCDJRVSDinbaeAyVwRjXKOJVTBL4Act3rV2cqQazIiGoDCA5ghQI7qpzsynFdVJk+LClKp1sKCl+Hn7ftGYzK9+PEmidLO2AjH//8jLVAEu4u3Mq1SbVa9+6PtmQeg6XTRir1Oe/A3b2Ng7GptrIowausYA97uqO3mOz9IFUxtjLGf5hiidrh54BfhbWwvnh7Al/zxDEeWp/9woBTywXfGxKfaozMqV1tpjyK7eoPevTFxFD/86SysCE7t3fz9nuK1fcIV36Ux869OQafmjj3oF3q2Ql+nJ4nFrpKoAuoB3T1L05YWzeto0jOJm8hBxB9UW2t/J5E88pKRyNeSXZCmywsF993VeFKkXtsTQginFPx5GrJeWIcGfy4dbB4vSILeSoSj9q6H05gFYuwU3WdStA/dJrPS/qF3XO3zLm9Wv5xZULrgy5YWzL0IjS7ky5OTc4rlf0fSake6wR/FdoHKnPrYrbwGoscUasayvZ829RtDBjm5EPdWa/Nn6aIx3NJdDDoDTqwn6KCdyHp7EeVVLmU78mm9GOS6gTFEHITJ5oyDKKEdSWjCqIVr7QzCG9oYcoSj57xIuC9iRXmN2rU4Z/3KRBlfuQXx72MvrKXkUG+kwUnmrVe1ococ54UuBuWf9YSxOQHST1lpbr1by8YBvE5eyLnLXT8Xgu/bcMWOTGCuICVjwH9VBlQSKpqPff8BcANp1EUEC/w/nYOmz01+3ERJdn4YsMydYBWBXdW0tB1HUpW68doRzWeiHbNp+HZTcB7IKDzKj7A/q08cLYc7TBkUPlkFOy9HxUoVNUvpZUYjGSyoyZIPGc5Yj+u4OY0lW0RUy7TZsOItTO0+rwJ6AV0e+KVDLIdwpVJenXHHDuFraUUpKxnJrAVhmU3mi2lLgKoKdpjE3Wlj8W7aytZ8a8ZqPy0e5SoSw/I99OkODkFMCQJ8y5ob5EDBekGLqQmAq0LnHzgEL9Q6xOejkqJIDQsapr059nw6T1Kp1KOF7PrvwnPcOX++wWNf9p1BrB3mHD209fmKcTqmLD0SN0WTVb9NrRsEwlXqrhk5paTEle/0EHh3QmPev6v4qYGNse+h0THy2qouQSxhPYh+th2FUyNfSMkg5jjo+rwp8ViVWpQZhIIyyVXoA9hQHMcG01Nx38WXgE221/W6etEIVNmiRtJ2oJrjCRGp59pZC5jyOfnh7H/T7k4IA43QQ95hrvaHa8j+a9DEW0MdTALrhbDWA3tnmcB6jv49PsvO4n/6iH2euOnZ3yukbkkaUwFh/5V8Ygpw3L3fRtJaKk+tSgfyju6TA9Ay5JyaPDucnmYqyD/mzIgP+LH7f2YPlIS/1bNBTJ7Y3k2E1RhIX56XsttvvOYiKsRqelgsq9yFhWootedl8RR/TiHY6pxh5o1s5I811/R0MTGXaAyB3mBx99uQnx5CHJ9x/lIhO8hjxjhMX1QlOTqatrr6aXoRP1DpLDU0FInib1ZUuEDGTlsxTj/wrkpn5+A7gj+pSDes7bM/6HUWLUV43RnnQrT2kQI6qR1aLW0kRMc91/9KpCWweUXPamEKJ1dDS45qbxNS1/vAIht0YHkXwBs6vqBKFYhuBAk8S9BaWaM3CaF+/Anvpq0g7cVwtGCgFSb2GuRStY86jhg/zRcluSHY5RnHCq0aIN1O3Fk19ccN0RsiVyTa6PBszZ2gDbn7E6d6aKetu3cmAwa6juysb2+sdRGdZmx3vEcGpM9Uf4azb4qr/PBZ8tW7XFcmtWtgGFrR0qNd9ToGNQ1aDIC5+b7Ig4iQ8YsWHNUTlh+QLjQIeBL7w1amQ2v6Lc28VjVbdDBLKvZN6CEREQH2HHiwKkDWpB/i0uzyu1uEpeL9s5dVh/qtL27fs/ml/1ymCoSV7XnlStoNvHxbvKJFz5FE5P1yzMd0o3UfvqLhr9s3p6vJ3WiL47+0PrnCEXdTeOX5d064l+hTeMNtWvCirSuSqXsoM9iAarRH8RcZCYb4zfBItw8eecw4cTS5uJ/h7kstzIW9c2Z5CH2/Gvc9J37e8iB6SH+wVN5+OxmrYPZA8XIl8QqArEy+mOujTPmFlqt35Pv/MoNj97UlXkPb3/iQv6zAbi1IRdCfqgqED0AfNbkJDfoY/rHTXyqZay6IqKFmYOzSqnvw3vP2x407lt5rYXA9baLyAuLVDAM5TS5W8KZ9cjVm+lRZflcmLdu37FZ/Hogb3dhvflkfTOBgsLkn6MuoWpW1h4f1QSnaWGIoQsBP1hzaRuyrV3FHZ5o+oIjn5ZqSrJ/UNV80sOShARns7sQLZ0PyuCPGEZOj0WYrStgW+aFn3mmoBYFmin2zI0G/2LOxhLclr4ZvGYBjqzKV9uh/YhLdCfEVEvgg7tLbvDSasmGEVnwO+/fXmJdZhVtSR2N9BoGH48MXJ0LvNu+AXIj2On8D0oSQvQ+LwD7SLvgg0A1e0jtN0kAcZJfSr+Bhfwbx5hXLOU3Cy+OeU82MQpZH4a2Yz+/ejlWFtpzNV34uo2xxtaaashGrX5KKOulNeEU7ogIKPA7PLkdNQMQN23GkSo/T1nO1VrK/irbO/GCWmXjobPkeWFQco8O9dEXiqERwqn/uWv2EWKU9J5IHrAToXmKDIIjzLMDJ+MK8YuzSVj/s3tLwpwMuuQYf3b/ySTIL1ztOJ5iX8bhhevxpKewfec6Md4tJuUtb4gJDCVyA7aEbz+0qY0VIeTwiGYcY9H2LGoimlaGie+3oHszZ9eZQyv64v1ResAARZ91/LduvZuBOteNzLHc8PdZAwKDEnptBSpEAJ2QDlvQrZuxKzQfFMWWDSuT65VDD1hZz3xMNuKjSRqJ45RRHPK/+QCPqStHtPUAlJtHjkFo9FarAFPh+bIZRF2Iuje+tTdhjFj/OkT4FrDmXQ26CzKaWJjYmTWkeS8QIXjhLq4Z16YjMaJKyKn8ERn/MLDf3mjkrndltVUYweOFd1jp1fcfeSCC5SyvJU15tzIujDqVr7KA7xeMJzY//G2SNp3/p1taX0ojZqt4wIwaSZNKQSWL3Ai5so30TAy5CCAU3rlYbU+dtEVo0RiT3jEby9RS3uesx0apmXoTAyfNohcAyJ13naFsZtOghzWEY/Za8AbpQpAlUT/dLhuOiEifmeVFPvUDsladfcpJcL+FT1WKpS1G77oNTpyxGWaAwHA0jTPIaO2YRQBtnb1wpQpvbDIGiDGy9kgPREyNylIbsvVRs6OytQtdN+2b5Inei/E20b2jh8g82/LhKFi03MFbaBJVwqV4DhMJS4Smp3s75FzrmRruWlQixrh/GyF+zOnHBIOoOmJJPefLGMnLMTHYgoBd9nuUFXX3NYsWCvudCMqpLghKFhWBwjg0PjAaFsn2eWj9sfpgsnhwkKVysjNosYuCPDUXh2amR3yPJS+jCMd+Lik1XeK2PWbU6qudchMem6O5NhrZwhI7Or1hkQv0RHBuIbCJKLR/9RR+9ycxgnoF2MKshGK2j9btm6d5cs53m0YJVdN6uVhHvrIKChkF/a1IJzB0YlXpC8lz5/TWClf7VU+2zcUsCEtrMycsxl0tXtzvlciBir4gzZk5L/+NMKUCjrnAAvumDfaHBZ199tFEIGdQW/f8HFS4HTW1lAFGFqsgAth08Gyd1IKbCdUQWH1A70YCYZWvrNho6Q1bzKTY0+1oAHwLoWY8q7dm2f01SXlQD2L+ShEdRqI6JiLwssuw9mWuVG1Qib30/Mb8CRJEeisBIddfzGZllNVP1JgaXR/JRt3DtEOqdwJAOajQwGpLoCZjYstpg9vUnarD1mPJVCOy0o5QtEcm07hvYgaJaEabCiHL5Gq6267/4RnNWbLqZ61jt+4OCFexigBy9uB8jj9yvijRYlVATFpyIaFNz39noU+mpYmMn1CFuYRuigLbqujuu4LZw560FZKx4sxIS1HUNIMOajyhuovJrXZsbfg+0YweO/HWRO4lYmDfWOKO2yBgrDM50LPH+IC3mjen21xvdXO6otXEn/8Y+EPgRo3ZiKFiBjTmACKh3BVgdwEg16YF8X+9JdfzURU+kNNARZdgiwSE4XQ2NWpiyhC8pPExIrlxo1Da6NOnQoid+I5cj7e/eaIvh3GvRZB48f+OZ6iYNREXGnAy0rtkVokGAULvVxBztDTiBPibSxbUpqQeuDKHyB+DnpQBzKsjjuYNkyUFKpF1CywIrY1jGEeP3l46oJr6meg3v/x/FBS3FTrdTasTxKirtD9/M4GYGbbT0LYKVxU35Tw0Dx4hpgYBluSrdVTx6JVTei6MI/JOZD4rctcp+Jkzf9dbYRxfBpBfnkaftx6hEpLBrTlVyN1HE1YiZ2VQ0VkYLaxLt8/RWOMLcnm+GtjANX7oNAvG/YdVkpFBtNWChG9kC98mJk//cEVOA1mrIPkZtGTTdXPU1jle0R1eGh6rOxRUglSF1eNBo9GtBNJym1pTtsqEVmv4Rkl+EIvp4qCHMQRB4W1Z3IewSZKuYF9HuazJld8MC/y+hj0hQBskFPGj3utakw7OafTJUzzxCVgwO+Z2vO6sfs1iYdUIaL0NltYIUduKe+JnveFDkfUBNu82RrecbKLwypFlQrGo5CqKmKt7FDZzJxmI16yiu3cWqazR8sAEwtpn4N0TAQxWmq67QwA38U7AjqeqpblTPq1/nFZLzeezGQ5eRAqaPFfg7FDKbbaJffiobSkI2nJ+jOrO5enukkyMD7D+tKIhGjsbYf5F3OLz0pIVQCvl72tHwrJcUZSWu7UxKZWBs/KhXsMIXTrmrYFhqmzaX099BjCyp7ztToIFoVToy7t40RmY5EtOpa9ahAVxRrKiqV9yOiWXZ7Fu18gHdQVPdscje+ZI99+T87ZEhie83/LvGMshTMIj8yJFRUlQhlq6XCsaa725l07nUkia7Q2kh1C1EpqqRE36KDWOftveDonffp92DVRXHIoPwAkWBxLP2ga9qMoO97IHj15/Dv7rQ6skq4eKbpqmo1fQ3e1HffRR/g/vSuvftARCAeKTj+AlFESjgkL3pPf73Xp7rKLkNlnODYqbSb3cSs/44k+SO67TFXnkIiz2aYlJfVW3dkm3dMiB8n3OIu7hGUYk3ZYI6qaQKWZhJcL51hqgC5sBLlT2lgbT9lWM/FSdef/Ngvrn961J4UnGmvEfGYnDLcKJ/Mj+0XsooosTkr/MKuQ2dkA53psqg0MUFtz/XIZV3mZ75QXnLjnKXkwNyhnIbj2KHsCXpmoM+JhIoT4i76qxeYqdwo8zufBTxFJJO9ybZUsRXFkrhIf0ppu+6/fBjmX9xS+BrgXHwXmNW5USWGEVDwsgQNQBkeMhRHxlQ0vLhN+BM00MoUSujttfazDenBm/5B1cvrI+SoASotw5rkfpWKOmwZADW4B9h9XhakUNvdKP2EI8XKabP/3NlDuWsTTETJ+at3JXaBewDPsNbSHnDdPIg4VfL9vqT3wuJByMgrL5kxZ/tjX7mWS+9xh2dW8pfcfZ9JN5xjTgbGndhaq3ZuDAFN72+FD9lLYDOzTg8ASNOvPqYHslfkitRifzT+RtWs3sgGAqpKHL3mLESzqa2qYhKbdm9MD8RfvsDgJ4sAh6/zjm03TOicQxTsh0XTUpJnxcBwtxpmfPgzA6hxzSlnUdYFO7YYE50Fz0IvzfrmKz3TuOnhZClFd1VVgGw2jPKmp1nArLmLJrfd39HYlgiSWEYlCOfhm+bf/aT7BjI5MXQBHXSkdR06Hd1rrCm3Uvf/MN15XSef2tdYdn34Ug3lvsdHsFnkbFCvu9fwZj9edUTdV8jOQsVWnKX0xVQaKC/kc5y6q5q2OQF5lUqSbRpY/UOLpWZzbhQGs6YgeLwJNNcrAEgqVeC1XiilZ3hQf1csK43OL5W/ZUQBRPbww9BKkBTtP5yPiB8yGKWGwE0cUui61lyXUehNAELMVJmU2cVOBOzarfhI840Jszn5G2/eMtRXc8kGaWbMu74amzdU4dC/rtfgIidb7TANzvMxjzLOTrjFrdAVowVjG1l2W0ptrWO3DYUDiPC6A5ZIFP9TagX3syDN/O6E4ymxaZ7E/p+0KUY5hakiw1G7GXB0gB99Osv/jRNqCmduM6ktZium1GHGLTynbuP5wLAnwne9RE2EA8aTt8ZXYS+PToAXQkQQ/TvW4oLVRJAlHaPMQzXLIPHLfEklGxmYgirsTOzic1/szm88cAFAwd9SLSmA9PsR7q5vJgxGKKx48tOucIZlVGwt1plq9OQ8MRO7qqMA+pUTnRBv7OthlsmZnZ63nW4ReYJSHJEsDVB/0wySQ4Mivg2yfVneDgB7oqlpK/2oqb/fRbPtECPxug/OcmLQ2BqRyz0usUJ/00Dnh7u2JfaW+bct9UvWw6CYIsR+xw86KUXFvwXNIV9f4xgcDzAwZf3r5naFVCbzr1+SWpEy/ZfN8vf1IcZZ/TDIqCVxlw0vgKRP2JyHdeJRuc988K8fFryL/G3rJxteVpUqUpi1csxTxTEMGEntO/VURxVCH+fn545zr2UGZ6b0drdGqiAeLBxBBBSzFacq8orwDpAjJ5+XhVVpkxmEJSljlBBlf2QG+3+K6jE8SorDh7p/yyDUnfCIgZktgHXWInOKaTeZeLuwykOIGCqhgmJf6s/+czFcnEuRR4hQohdZu9lVj8ZRxn6EBZ0gifWkmv0jQndN7Vwo1vsrdB8q3q0sYMUDhIo58BVzhCRUfHWHJ5ojIxSH462OYUSeCa3oKw2PaNQjNHuU4QfsbmB1B50fzpG1wHwNqMkVNTaIrCwRl5w09c9WiIc26E0sofkdk2wpxKnWD67aVtnBs8J3Az2lflUkDbJUhTxkNFTDqMkif0hiGGUrES9gekCm7capLQ0hJsbPjl5cDL8see7jBHC1QIuFLYDmfRyLgRBlWr0mxVXawHJvEyubzyT9j263qGRXd/mTzSbuLl+EwNvad2FuNuaooVWnQsaDvl/5RNzSINgmHDfB2dCNGWjC7j/f42eoln/808ksy12F2m4I+jDWkjTPLqjzWbKa7UfQaeNO/ZmhU5XRLv/DFHhLEBFgD3pg2WuZIe3/Kfn+qoB1iJSv2aSK4tRelBaWzVL+9oLor/V+/2dm/vDO+S710uamts1kUAsba5N1O3BYUrkf2wiXGVo7ytilPbN1gvBcGu8VPs/uUf4WBJDgYasgURbkgiburAO4N3KMKPJV6M6gUvV7T+ba+qyaaz0garhirIPQTHBEFKeIguGMB+rU1TflUshQSgr1jDnu1EIl9qtCM3GZz455PyQZq74ZxPtPWszPAolZNgquyJVve56HVdKzuaT8HmgzJvn6KMGZrKSt6XxEIa2UMmsTCx/PsJpcbz1QYNRPDYEXrg0r/hXEQNffM97jkFbv3PB5dCAsgbO2hD+C9LDTEYZXlPrJ0u+cJTKaaBpQuEO/g7lpDSW2AVflHzHB+ZpcZk230726eoYm0PYL3IrcZqGCU6rUGsE/34vMVbn45IAum4HVYz5NTDQztRK3gJb8r4Z+7H3RGUGJSU9qMWQBvVAns0NbFdubH3TPyRFdvqwZzwzPDkVvkI5xKbZXQW4O6mjOJLEmH92FPZOIhuCULrVECgCGh8QzCQYqUJQSQy86hJlzFUKKFubYqnjwT+Rq8LeHiLKxuuT0CXRXxcfaPTkJ/OZyDLsfJA3WLirBYId5yC7mm8aeWnmedZXZeEfrjK6QGT9r3ZVMtmHlnUqUgy2SP4Oft8wGfWRK6DT/jC83IouE5Omaxr8e5aUYSLEGKzHa/9yXaMlIpd9t9phW3HnOdfxLFVROWCJFKNbuQjm4TCPRdPQVlsJ2/3y/Q9uBhwSw5Lde+sTscldu8VGKMaiiLW8xmxFUXofwc6zTPh/ewnorYmFznYwl3zRVtVuYDbOQKsKHgGKFhCOcO8fFtehy8AIlWuv/zUlZFqxXsesSiET8UTILfvi6XYzJpLGI5JJGI5R/+E6sjIlaLoVpvJn01d5UCZ9kFkXnwPCg+cIAvAmxG7+n7YItBMpzvZ2NKx9H4rUFMIuUahc9w2pnD4+++O0aXFVxVN3NZmYMtBGut+JLteRurQ6IzFvyNQCJ5XLEPOv26S/d"
    )
    _SS = 16
    _NS = 12
    _KS = 32
    _KDFI = 600000
    _MPL = _SS + _NS + 16
    _ek = os.environ.get("EKEY")
    if not _ek:
        sys.stderr.write("Error: EKEY environment variable not set.\n")
        sys.exit(1)
    try:
        from cryptography.hazmat.primitives.ciphers.aead import AESGCM
        from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
        from cryptography.hazmat.primitives import hashes
    except ImportError:
        sys.stderr.write("Error: 'cryptography' package required.\n")
        sys.exit(1)
    try:
        import base64
        _p = base64.b64decode(_p_B64, validate=True)
    except Exception:
        sys.stderr.write("Error: Corrupted payload.\n")
        sys.exit(1)
    if len(_p) < _MPL:
        sys.stderr.write("Error: Invalid payload length.\n")
        sys.exit(1)
    _s = _p[:_SS]
    _n = _p[_SS:_SS + _NS]
    _ct = _p[_SS + _NS:]
    try:
        _kdf = PBKDF2HMAC(
            algorithm=hashes.SHA256(),
            length=_KS,
            salt=_s,
            iterations=_KDFI,
        )
        _k = _kdf.derive(_ek.encode("utf-8"))
        _ag = AESGCM(_k)
        _pt = _ag.decrypt(_n, _ct, associated_data=None)
    except Exception:
        sys.stderr.write("Error: Decryption failed. Invalid key or corrupted data.\n")
        sys.exit(1)
    finally:
        for _var in ("_k", "_ek", "_kdf"):
            if _var in dir():
                try:
                    exec(f"del {_var}")
                except Exception:
                    pass
    try:
        _src = _pt.decode("utf-8")
    except UnicodeDecodeError:
        sys.stderr.write("Error: Decrypted payload is not valid UTF-8.\n")
        sys.exit(1)
    try:
        _c = compile(_src, "<encrypted>", "exec")
    except SyntaxError as e:
        sys.stderr.write(f"Error: Syntax error in decrypted code: {e}\n")
        sys.exit(1)
    _g = {
        "__name__": "__main__",
        "__file__": __file__,
        "__builtins__": __builtins__,
    }
    exec(_c, _g)
if __name__ == "__main__":
    _dr()